{"competition_id": "2408", "kernels": []}
{"competition_id": "2435", "kernels": [{"ref": "tiwaris436/predict-hiv-progression", "kernel_id": "5411194"}, {"ref": "cristianfat/hiv-progression", "kernel_id": "12156790"}, {"ref": "lingyuxiong/predict-hiv-progression", "kernel_id": "12301038"}, {"ref": "habibmrad1983/predict-hiv-progression", "kernel_id": "14912333"}, {"ref": "habibmrad1983/hiv-progression", "kernel_id": "14912655"}, {"ref": "habibmrad1983/predict-hiv-progression-450bef", "kernel_id": "14912905"}, {"ref": "elaynejones/hiv-progression", "kernel_id": "15111276"}, {"ref": "mohammedsakibrahman/hiv-progression-prediction-newbie-approach", "kernel_id": "24233097"}, {"ref": "asadali047/predict-hiv", "kernel_id": "35623194"}, {"ref": "renemichleniangoran/hiv-progression", "kernel_id": "42715771"}]}
{"competition_id": "2438", "kernels": [{"ref": "sytuannguyen/forecasting-world-cup-2010-outcome", "kernel_id": "45398523"}]}
{"competition_id": "2439", "kernels": [{"ref": "sytuannguyen/short-term-stock-price-forecasting", "kernel_id": "45399357"}]}
{"competition_id": "2442", "kernels": []}
{"competition_id": "2445", "kernels": [{"ref": "hari141091/predict-grant-applications-1121", "kernel_id": "2161387"}, {"ref": "arpitsinha/predict-grant-applications", "kernel_id": "2161388"}, {"ref": "enaveenkumar/grant", "kernel_id": "2161367"}, {"ref": "tiwaris436/predict-grant-applications", "kernel_id": "5428870"}, {"ref": "oleg348/grant-predict", "kernel_id": "9189640"}, {"ref": "irinana/predict-graint", "kernel_id": "12526503"}, {"ref": "akarachaisaeteaw/predict-graint-gradient", "kernel_id": "14764978"}, {"ref": "andiliu/notebook0e63ecff91", "kernel_id": "16963380"}, {"ref": "aganguly/predict-grant-applications-randomforestclassifier", "kernel_id": "42267619"}, {"ref": "sytuannguyen/predict-grant-applications", "kernel_id": "45404752"}]}
{"competition_id": "2447", "kernels": [{"ref": "mpwolke/chess-elo-rest-of-the-world-1st-kaggle-competition", "kernel_id": "39344286"}, {"ref": "vaghmaresiddharth/dma-lab-4-1", "kernel_id": "50501346"}, {"ref": "vaghmaresiddharth/practical-1", "kernel_id": "50457015"}, {"ref": "vaghmaresiddharth/practical-2-1", "kernel_id": "50461530"}]}
{"competition_id": "2448", "kernels": [{"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "sytuannguyen/forecasting-tourism-timeseries", "kernel_id": "45400335"}, {"ref": "piotrek40941/exponentialsmoothing-forecast", "kernel_id": "72632891"}]}
{"competition_id": "2452", "kernels": [{"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "ekosetiawan93/tourism-forecasting-time-series-study-case", "kernel_id": "45507912"}]}
{"competition_id": "2454", "kernels": [{"ref": "sytuannguyen/recommendation-engine", "kernel_id": "45401224"}]}
{"competition_id": "2464", "kernels": [{"ref": "mpwolke/ijcnn-social-network-txt", "kernel_id": "39383534"}, {"ref": "sytuannguyen/social-network-edge-prediction", "kernel_id": "45402195"}]}
{"competition_id": "2467", "kernels": [{"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "mpwolke/rtadata-time-prediction", "kernel_id": "41160083"}, {"ref": "sytuannguyen/travel-time-prediction", "kernel_id": "45403766"}]}
{"competition_id": "2478", "kernels": [{"ref": "naokiyokoyama/ford-notebook", "kernel_id": "13908692"}, {"ref": "ashokkumar071994/fordstayalert", "kernel_id": "14262443"}, {"ref": "manjupoovathingal/fordalert-1", "kernel_id": "15042292"}, {"ref": "ukawaladhruv/lg-rf-and-dt", "kernel_id": "15161001"}, {"ref": "namanjainoswaal/prctjovan", "kernel_id": "19509768"}, {"ref": "nikhilroeewal/stay-alert-logistic-dt-and-randomforest", "kernel_id": "29388414"}, {"ref": "sytuannguyen/driver-alert-system", "kernel_id": "45442154"}, {"ref": "arnabk123/ford-challenge-using-deep-learning", "kernel_id": "45453319"}, {"ref": "munirc/stay-alert-lr-dt-rf-and-lgb-5-fold", "kernel_id": "59418795"}, {"ref": "dhruvenvaghela/driver-alertness-detection-the-ford-challenge", "kernel_id": "61106365"}]}
{"competition_id": "2479", "kernels": [{"ref": "sytuannguyen/chess-rating-system", "kernel_id": "45442910"}, {"ref": "aichanprojects/autochess-rating", "kernel_id": "123992407"}]}
{"competition_id": "2487", "kernels": [{"ref": "mpwolke/galaxy-images", "kernel_id": "39284374"}, {"ref": "mpwolke/mapping-dark-matter-image-zip", "kernel_id": "39246449"}, {"ref": "sytuannguyen/identify-dark-matter-with-glaxy-and-star-images", "kernel_id": "45444504"}]}
{"competition_id": "2488", "kernels": [{"ref": "sytuannguyen/arabic-writer-identification", "kernel_id": "45443593"}]}
{"competition_id": "2489", "kernels": [{"ref": "mpwolke/overfitting-12-years-ago", "kernel_id": "39666174"}, {"ref": "sytuannguyen/avoid-overfitting-a-model-with-tiny-dataset", "kernel_id": "45443937"}]}
{"competition_id": "2496", "kernels": []}
{"competition_id": "2499", "kernels": [{"ref": "sytuannguyen/wiki-edit-forecasting", "kernel_id": "45446030"}]}
{"competition_id": "2509", "kernels": [{"ref": "sytuannguyen/insurance-cost-prediction", "kernel_id": "45446447"}]}
{"competition_id": "2518", "kernels": []}
{"competition_id": "2549", "kernels": [{"ref": "mpwolke/semi-supervised-feature-learning-tgz", "kernel_id": "39721006"}, {"ref": "mathurinache/semi-supervised-feature-learning-tgz", "kernel_id": "41162963"}]}
{"competition_id": "2551", "kernels": [{"ref": "poposkygyq/scorecard", "kernel_id": "1618042"}, {"ref": "fastwalker/give-me-credit", "kernel_id": "2305317"}, {"ref": "reubenmathew/model-mark1-random-forest-intro-to-problem", "kernel_id": "2926048"}, {"ref": "vite99999/prediction-model-w-xgboost", "kernel_id": "2919800"}, {"ref": "simonpfish/comp-stats-group-data-project-final", "kernel_id": "2296863"}, {"ref": "gclauser/credit-risk-analysis-gfc", "kernel_id": "3833205"}, {"ref": "abhishekgiri/give-me-some-credit-logistic-regression", "kernel_id": "3582992"}, {"ref": "abhishekgiri/give-me-some-credit-naive-bayes", "kernel_id": "3583031"}, {"ref": "midun18/credit-issue-classification", "kernel_id": "3850302"}, {"ref": "zhannabitiukova/ds-study-credit-datavisualization-and-cleanup", "kernel_id": "6576768"}, {"ref": "zhannabitiukova/ds-study-credit-logistic-regression", "kernel_id": "6522357"}, {"ref": "zhannabitiukova/ds-study-credit-desiciontree-impute-mean", "kernel_id": "6493503"}, {"ref": "zhannabitiukova/ds-study-credit-desiciontree", "kernel_id": "6421563"}, {"ref": "mohamed22369/kernel76b6862958", "kernel_id": "6947307"}, {"ref": "ejkim0121/loan-lgbmclassifer", "kernel_id": "6121683"}, {"ref": "atlantistin/hello-credit", "kernel_id": "7107243"}, {"ref": "navendush/credit-score", "kernel_id": "7795825"}, {"ref": "nicholasgah/eda-credit-scoring-top-100-on-leaderboard", "kernel_id": "8994674"}, {"ref": "piternet/fintech", "kernel_id": "8786501"}, {"ref": "kisoibo/credit-issue-classification", "kernel_id": "8010803"}, {"ref": "caesarlupum/modeling-give-me-some-credit", "kernel_id": "8388929"}, {"ref": "yukini/kernel31ca8a4f41", "kernel_id": "8538113"}, {"ref": "urayukitaka/try-to-predict-credit-with-ml", "kernel_id": "8990865"}, {"ref": "hebert/probability-of-default", "kernel_id": "9537187"}, {"ref": "orange90/credit-scorecard-example", "kernel_id": "9815471"}, {"ref": "kody8891/logistic-regression-credit-modeling", "kernel_id": "9106194"}, {"ref": "jagadeesh06/give-me-some-credit-eda-imputation-rf-xgb", "kernel_id": "9257045"}, {"ref": "dnreddy/give-me-some-credit", "kernel_id": "9186858"}, {"ref": "sainikhilesh/give-me-some-credit-classification", "kernel_id": "9143929"}, {"ref": "sentrankim/85-5-roc-auc-private-test", "kernel_id": "9201287"}, {"ref": "akshayjhawar/predicting-default-deep-learning-0-82-auc", "kernel_id": "10708710"}, {"ref": "aashishbidap/credit-defaulter-probability", "kernel_id": "10937997"}, {"ref": "uditnagar5/give-me-some-credit-eda-xgboost-lightgbm-shap", "kernel_id": "10308339"}, {"ref": "vermillionz/hyperopt-lgbmclassifier-86-roc-auc-simple-eda", "kernel_id": "10186136"}, {"ref": "akishen74/kernel530914bf26", "kernel_id": "10517247"}, {"ref": "sen2021/credit-scorecard-example", "kernel_id": "10804702"}, {"ref": "orange90/xgboost-easyensemble-model-and-explanation", "kernel_id": "11548635"}, {"ref": "orange90/ensemble-test-credit-score-model-example", "kernel_id": "11684090"}, {"ref": "jasonwct/eda-simple-ml-for-beginners", "kernel_id": "11962689"}, {"ref": "lynnshin/notebookc881fc3cf5", "kernel_id": "11875750"}, {"ref": "lynnshin/notebook251a99c9bc", "kernel_id": "11768973"}, {"ref": "doufulai/give-credit-jasper", "kernel_id": "12419007"}, {"ref": "peaceworld/ensemble-test-credit-score-model-example", "kernel_id": "12949680"}, {"ref": "ilhamr/credit-score-for-pre-assessment-test-bri-hackathon", "kernel_id": "13373229"}, {"ref": "chananna/givemesomecredit-fin", "kernel_id": "13103926"}, {"ref": "dawool1218/credit-210124-ml-p-not-complete", "kernel_id": "13899347"}, {"ref": "modderbug/notebook63af151c90", "kernel_id": "14365418"}, {"ref": "mt77pp/mljar-automl-givemesomecredit", "kernel_id": "15886597"}, {"ref": "caesarlupum/datarisk-modeling-credit-approval", "kernel_id": "15068138"}, {"ref": "yauhenichachukha/give-me-some-credit", "kernel_id": "15935746"}, {"ref": "kyuhwanjung2/givemesomecredit-basic-week-2", "kernel_id": "16192239"}, {"ref": "kernalpca/give-me-some-credit-jameshaung", "kernel_id": "16637401"}, {"ref": "lashamaev/vivalogisticregressionlast", "kernel_id": "17688225"}, {"ref": "lashamaev/vivalogisticregressiononehot", "kernel_id": "17688801"}, {"ref": "lashamaev/decisiontree4", "kernel_id": "17684973"}, {"ref": "littlebearl/credit-homework", "kernel_id": "17479134"}, {"ref": "gabrielbaishev/vivalogisticregressionlast", "kernel_id": "17738701"}, {"ref": "jamesngoa/credit-scoring-feature-eng-and-prediction-0-8674", "kernel_id": "17127554"}, {"ref": "jamesngoa/credit-scoring-efficient-eda-cleaning", "kernel_id": "17015556"}, {"ref": "quillquill/fork-of-financial-score-card-lr", "kernel_id": "17103969"}, {"ref": "wr786w/aiintro-givemesomecredit", "kernel_id": "17160662"}, {"ref": "air0612/notebook-give-me-some-credit", "kernel_id": "17975720"}, {"ref": "stereolab/notebookd2a62f797f", "kernel_id": "17466595"}, {"ref": "yanyuchen428/give-me-some-credit", "kernel_id": "18395357"}, {"ref": "ruizhezeng/notebook002f83b485", "kernel_id": "18258068"}, {"ref": "sixwater6h2o/givemesomecredit", "kernel_id": "18119637"}, {"ref": "decatur/feature-engineering", "kernel_id": "18137996"}, {"ref": "decatur/ensemble-stacking", "kernel_id": "18217360"}, {"ref": "decatur/1st-try", "kernel_id": "18096433"}, {"ref": "decatur/compare-without-featureengineering", "kernel_id": "18104215"}, {"ref": "lh0165/notebook5458e24805", "kernel_id": "18183469"}, {"ref": "xuziyibnu/hululu", "kernel_id": "18373407"}, {"ref": "springxmy/notebook9f8dd7b5c7", "kernel_id": "18370775"}, {"ref": "greywings/give-me-some-credit", "kernel_id": "18441477"}, {"ref": "zhangzhiyi3712/give-me-some-credit-zzy", "kernel_id": "18130541"}, {"ref": "seanzhou1207/931004614", "kernel_id": "18376329"}, {"ref": "wkybayonet/give-me-credit", "kernel_id": "18281542"}, {"ref": "miraclepbc/notebookfa1dd4ec5b", "kernel_id": "18463028"}, {"ref": "sh0829kk/give-me-some-credit", "kernel_id": "18636090"}, {"ref": "cuojinboshan/give-me-some-credit-2-0", "kernel_id": "18461925"}, {"ref": "gossic/gimme-some-credit", "kernel_id": "18350063"}, {"ref": "moqiwang/give-me-some-credit", "kernel_id": "18321600"}, {"ref": "skyabcd/credit", "kernel_id": "18035351"}, {"ref": "skyabcd/credit2", "kernel_id": "18042502"}, {"ref": "cmpikachu/201811210138-gmsc", "kernel_id": "18426569"}, {"ref": "bnucsy/notebook0fe104ab02", "kernel_id": "18332288"}, {"ref": "bnusyl/notebook58313c07f7", "kernel_id": "18371681"}, {"ref": "ckonchok/notebook76b594cd18", "kernel_id": "18470590"}, {"ref": "chenchangyu0922/give-me-some-credit", "kernel_id": "18135326"}, {"ref": "airrose/givemesomecredit", "kernel_id": "18093368"}, {"ref": "suosuosxy/credit", "kernel_id": "18008951"}, {"ref": "wuqiong123/givemesomecredit123", "kernel_id": "18459318"}, {"ref": "hlo1970/give-me-some-credit-hlo1970", "kernel_id": "18241752"}, {"ref": "zhouyuxuan0010/give-me-some-credit", "kernel_id": "18488962"}, {"ref": "wxying/my-credit", "kernel_id": "18457642"}, {"ref": "zk0156/notebookcde2020160", "kernel_id": "18448683"}, {"ref": "chengyue111/notebook2a9cfb4096", "kernel_id": "18436347"}, {"ref": "ancyli/give-me-some-credit", "kernel_id": "18374396"}, {"ref": "ancyli/final-lhy", "kernel_id": "18429014"}, {"ref": "xbx0134/gimme-some-credit", "kernel_id": "18427567"}, {"ref": "wangzhiyan0114/final-givemesomecredit", "kernel_id": "18354622"}, {"ref": "yangdayou/give-me-credit", "kernel_id": "18400851"}, {"ref": "bnugyy3/notebook60da6f1baa", "kernel_id": "18337902"}, {"ref": "chameleonmy/givemesomecredit", "kernel_id": "18417251"}, {"ref": "realmali0906/givemesomecredit", "kernel_id": "18422816"}, {"ref": "zhouyifu0158/givemesomecredit-last-v1", "kernel_id": "18443938"}, {"ref": "caesarlupum/give-me-some-credit-deploy-model", "kernel_id": "20452585"}, {"ref": "yzgast/gmsc-building-models-making-predictions", "kernel_id": "20005512"}, {"ref": "yzgast/gmsc-data-overview-eda", "kernel_id": "20005261"}, {"ref": "misskeys/credit-scorecard-example", "kernel_id": "20547349"}, {"ref": "vsevolodkachan/2-baseline-credit-scoring", "kernel_id": "20723150"}, {"ref": "kyuhwanjung2/givemesomecredit-2", "kernel_id": "21269172"}, {"ref": "sarboldipo/givemesomecredit-eda-logistic-regression-woe", "kernel_id": "21632459"}, {"ref": "skmuhammadasif/performance-comparison-with-raw-balanced-data", "kernel_id": "21247804"}, {"ref": "yudingbnu/my-homework-dm", "kernel_id": "21613494"}, {"ref": "stephanleyherman/givemesomecredit-lr-iteration", "kernel_id": "21873793"}, {"ref": "reikaa/gimme-some-credit-pwease", "kernel_id": "22422544"}, {"ref": "ggman123/12345", "kernel_id": "22311742"}, {"ref": "billptw/give-me-some-credit-fp", "kernel_id": "22396869"}, {"ref": "mostig/starter-give-me-some-credit", "kernel_id": "22090473"}, {"ref": "bannourchaker/credit-part1-dataunderstanding", "kernel_id": "22721322"}, {"ref": "bulaguo/give-me-some-credit", "kernel_id": "22232087"}, {"ref": "iamhuyxin/give-me-some-credit", "kernel_id": "22336123"}, {"ref": "yuezhang0113/givemesomecredit-zhangyue", "kernel_id": "22323915"}, {"ref": "yujieren/give-me-some-credit", "kernel_id": "22062126"}, {"ref": "xiezheng1999/notebookee0b5f3f0a", "kernel_id": "22304239"}, {"ref": "zhangying2021/give-me-some-credit-zy", "kernel_id": "22329548"}, {"ref": "bnuyiranchen/cyrgivemesomecredit", "kernel_id": "22319206"}, {"ref": "yijiazhang666/notebooke5e3eefb09-yijiazhang", "kernel_id": "22325796"}, {"ref": "dreamsnow922/notebook015b2031b5", "kernel_id": "22232271"}, {"ref": "liwanting77/notebook849da39c75", "kernel_id": "22300806"}, {"ref": "cordellyaagatha/give-me-some-credit", "kernel_id": "22183980"}, {"ref": "wangtianyue/notebook-datamining", "kernel_id": "22349352"}, {"ref": "mingkaizhou/give-me-some-credit", "kernel_id": "22326227"}, {"ref": "bannourchaker/credit-deep-learning", "kernel_id": "23852606"}, {"ref": "bannourchaker/credit-top5-solution-evaluation-all", "kernel_id": "23854468"}, {"ref": "jaisalchaudhary/notebookeb3e93e376", "kernel_id": "23946400"}, {"ref": "kyuhwanjung2/givemesomecredit-2022", "kernel_id": "25664317"}, {"ref": "zhangle59/competition-givemesomecredit", "kernel_id": "25802940"}, {"ref": "kyuhwanjung2/givemesomecredit-0429", "kernel_id": "26653513"}, {"ref": "yusufyldz/give-me-credit-some", "kernel_id": "26651974"}, {"ref": "yusufyldz/give-me-credit", "kernel_id": "26519989"}, {"ref": "haotienhong/prediction-of-credit-solvency", "kernel_id": "26278055"}, {"ref": "aishwaryaaa07/credit-scoring-algorithm", "kernel_id": "26482296"}, {"ref": "ohhhhhhhhhhh/fully-cnn", "kernel_id": "27128162"}, {"ref": "tatudoug/hyperopt-lgbmclassifier-simple-eda", "kernel_id": "28284019"}, {"ref": "rainiexie/version1", "kernel_id": "28080194"}, {"ref": "kyuhwanjung2/givemesomecredit-2022-abl", "kernel_id": "29495286"}, {"ref": "henriquemaciel/givemesomecredit-final", "kernel_id": "30534508"}, {"ref": "funxexcel/base-solution-logistic-regression1", "kernel_id": "32500415"}, {"ref": "lyhaiyen/ratecreditscore", "kernel_id": "32679711"}, {"ref": "tuaaanminh/base-solution", "kernel_id": "32662486"}, {"ref": "srpatil99/givemecredit", "kernel_id": "32761344"}, {"ref": "imhungrynow/test-for-lime", "kernel_id": "32324569"}, {"ref": "nianqichen/nianqi-givemesomecredit", "kernel_id": "32268964"}, {"ref": "danieltanuwijaya/givemesomecredit-daniel-tanuwijaya", "kernel_id": "32945994"}, {"ref": "briliyansanjaya/givemesomecredit-briliyan-sanjaya-hartono", "kernel_id": "32914208"}, {"ref": "rhijjawi/rhijjawi-givemesomecredit-notebook", "kernel_id": "32301527"}, {"ref": "jessycaroline/givemecreditscore-abigail-jessy-caroline", "kernel_id": "32993160"}, {"ref": "jonathanernestsuteja/givemecredit-jonathan-ernest-suteja", "kernel_id": "32826000"}, {"ref": "jonathanernestsuteja/give-me-credit-please-jonathan-ernest-suteja", "kernel_id": "32904024"}, {"ref": "angelahenrietlim/givemesomecredit-ahl", "kernel_id": "32997622"}, {"ref": "mahalakshmi123/xgbclassifier", "kernel_id": "33939112"}, {"ref": "romanderunets/credit-scoring", "kernel_id": "33144146"}, {"ref": "ferry2332/give-me-some-credit-ferry-fernando", "kernel_id": "33269519"}, {"ref": "kristoprasetya/give-me-some-credit-kristo-amadeus-prasetya", "kernel_id": "33168061"}, {"ref": "raymondgho/raymond-henzen-gho-give-me-some-credit", "kernel_id": "33001668"}, {"ref": "myyankshukla/give-credit", "kernel_id": "33906945"}, {"ref": "felixdr5/give-me-some-credits-felix-daniel", "kernel_id": "33001572"}, {"ref": "dhruv1234/givemesomecredit-auc-0-86721", "kernel_id": "34028156"}, {"ref": "prasadposture121/financial-distress-prediction", "kernel_id": "34321408"}, {"ref": "hardiksheth/notebook21fff5259b", "kernel_id": "34026507"}, {"ref": "anthonytan12/credit", "kernel_id": "34134770"}, {"ref": "reboot2h/credit-scoring", "kernel_id": "35805037"}, {"ref": "kyuhwanjung2/givemesomecredit-2023", "kernel_id": "36873585"}, {"ref": "imhungrynow/givemecheck", "kernel_id": "36790183"}, {"ref": "imhungrynow/scoring", "kernel_id": "37764058"}, {"ref": "sridharstreaks/givemesomecredit-loan-default-challenege-0-86594", "kernel_id": "38778933"}, {"ref": "littlebaikc/lr-with-toad", "kernel_id": "40596933"}, {"ref": "guilhermeefgen/credit-0-86849-top30", "kernel_id": "42034019"}, {"ref": "darpan00720/financial-distress-prediction-e03e86", "kernel_id": "43064394"}, {"ref": "ashwinisaurabh/modeling-give-me-some-credit", "kernel_id": "44393454"}, {"ref": "sytuannguyen/loan-credit-prediction", "kernel_id": "45447165"}, {"ref": "annbengardt/mljar-automl", "kernel_id": "45259496"}, {"ref": "evanruan/scroe-card", "kernel_id": "45720456"}, {"ref": "cstnly/financialdistress-christopher-stanley", "kernel_id": "45425717"}, {"ref": "kizuke/givemesomecredit-esemble-voting", "kernel_id": "45378394"}, {"ref": "mifuniree/beginner-give-me-some-credit", "kernel_id": "45061492"}, {"ref": "komangandika/givemecredit-komang", "kernel_id": "45174100"}, {"ref": "linjingjiang74/givemegredit", "kernel_id": "46298758"}, {"ref": "shiyihang/notebook-credit", "kernel_id": "46685929"}, {"ref": "camizheng/cami-carson-jayan", "kernel_id": "46280595"}, {"ref": "timurgafurov/notebookd73cd57ab2", "kernel_id": "47969431"}, {"ref": "gnitoah/ht-datamining-proj", "kernel_id": "47096075"}, {"ref": "ryoigisocial/notebook882bce94df", "kernel_id": "47780264"}, {"ref": "hyhsjd2/notebookf226927a8b", "kernel_id": "47713465"}, {"ref": "enozhu/give-me-some-credit", "kernel_id": "47492897"}, {"ref": "liyi980/notebookece1371da3", "kernel_id": "47635229"}, {"ref": "liyi980/notebookd1c1839489", "kernel_id": "47621549"}, {"ref": "jinkejiang/notebook68b9ed489e", "kernel_id": "47789809"}, {"ref": "isuamug/give-me-some-credit-by-thw", "kernel_id": "47540313"}, {"ref": "potato1es/give-me-some-credit", "kernel_id": "47831476"}, {"ref": "joannatu/notebook5d710c32b1", "kernel_id": "47590171"}, {"ref": "binsabusa/notebook23fb648925", "kernel_id": "47810438"}, {"ref": "takuuuu/final", "kernel_id": "47590568"}, {"ref": "yanxixie/notebook6de45a93ab", "kernel_id": "47728222"}, {"ref": "lingling9973/notebook5ed9681840", "kernel_id": "47826857"}, {"ref": "lingling9973/notebook2b91407fd2", "kernel_id": "47829584"}, {"ref": "okanekio/givemesomecredit-okanekio", "kernel_id": "47823265"}, {"ref": "narischap/6520422025-kaggle-comp", "kernel_id": "48461862"}, {"ref": "maiohhh/givemesomecredit-jurairatr", "kernel_id": "48565774"}, {"ref": "danielyurchenko/givemesomecredit-loan-default-challenege-0-86594", "kernel_id": "48013747"}, {"ref": "nianxiwang/give-me-some-credit", "kernel_id": "48102723"}, {"ref": "brynning/top-1-give-me-some-credit-lgbm-model-in-r", "kernel_id": "48093774"}, {"ref": "wanlipac/6520422003-wanlipa-chamchum", "kernel_id": "48915695"}, {"ref": "mnilihua/credittt", "kernel_id": "49319809"}, {"ref": "pimchana/ml-pimchana-6520422010", "kernel_id": "49685140"}, {"ref": "therarat/dads6003-therarat-srisaswatakul-final-competition", "kernel_id": "49052298"}, {"ref": "aphichai/6520422002-aphichai-fukaew", "kernel_id": "49637914"}, {"ref": "rattanapromsuwan/givemesomecredit-6520422020", "kernel_id": "49461809"}, {"ref": "yupawadeejummanee/givemesomecredit-yupawadeej-6520422006", "kernel_id": "49461191"}, {"ref": "pattarisaprachumpai/givemesomcredit-pattarisap", "kernel_id": "49528215"}, {"ref": "gaolang/msfs-autosklearn", "kernel_id": "51809006"}, {"ref": "rionelslovesky/predicting-creditworthiness-a-glassbox-attempt", "kernel_id": "51794120"}, {"ref": "explorerqueen/credit-risk-model-final-94", "kernel_id": "51890230"}, {"ref": "sarthaksingh8158/sarthak-singh-capstone-project", "kernel_id": "54806077"}, {"ref": "svetlanakuchuganova/other-solution", "kernel_id": "55249857"}, {"ref": "svetlanakuchuganova/automl", "kernel_id": "55465073"}, {"ref": "python4sp/credit-scoring-end-to-end-auto-submit-g-c", "kernel_id": "57811235"}, {"ref": "anshumantiware/credit-risk-model-development", "kernel_id": "60422215"}, {"ref": "arrowin31ag/credit-risk-evaluation", "kernel_id": "66904861"}, {"ref": "akinniyiakinwande/conquering-excess-zeros-and-overdispersion", "kernel_id": "75583153"}, {"ref": "tenghewang/notebook63af151c90", "kernel_id": "77019801"}, {"ref": "tenghewang/cyrgivemesomecredit", "kernel_id": "77019788"}, {"ref": "tenghewang/version1", "kernel_id": "77019789"}, {"ref": "missssha/give-me-credit", "kernel_id": "77231950"}, {"ref": "jurk06/survival-analysis", "kernel_id": "80639984"}, {"ref": "fahims09/credit-risk-prediction", "kernel_id": "82821880"}, {"ref": "anniiu3000/financial-distress-prediction-ai-group-10", "kernel_id": "83204568"}, {"ref": "zhaohezzu/simple-logistic-regression-try-out", "kernel_id": "85253751"}, {"ref": "nishchalpandey/give-me-some-credit-project", "kernel_id": "86605768"}, {"ref": "aliumutalta/givemesomecredit-gazifintech", "kernel_id": "90125897"}, {"ref": "mohtamyzan/credit-scoring", "kernel_id": "93659404"}, {"ref": "mandark6199/parta", "kernel_id": "95210809"}, {"ref": "mandark6199/partb", "kernel_id": "95211005"}, {"ref": "mandark6199/partc", "kernel_id": "95218813"}, {"ref": "mandark6199/parte", "kernel_id": "95218944"}, {"ref": "mandark6199/partd", "kernel_id": "95218959"}, {"ref": "sheetaldash/sd-dlq-prediction", "kernel_id": "98063938"}, {"ref": "athiraravichandran/give-me-some-credit", "kernel_id": "101880432"}, {"ref": "ttyx825/notebookb44cde8ae8", "kernel_id": "102831385"}, {"ref": "aatmikajain/notebookca58f6a263", "kernel_id": "103952496"}, {"ref": "umairkhalil2002/give-me-some-credit", "kernel_id": "105108135"}, {"ref": "sunnyboyngobeni/crm-credit-risk-modelling-and-analysis", "kernel_id": "106702702"}, {"ref": "nicolasfernandez97/give-me-some-credit-limpieza-de-datos", "kernel_id": "108707516"}, {"ref": "srishtii01/credit-risk-intelligence-engine", "kernel_id": "109041281"}, {"ref": "nkek19/notebooke5dd752a1a", "kernel_id": "110309169"}, {"ref": "tunahaneler/give-me-some-credit-dataset", "kernel_id": "110366311"}, {"ref": "omraizada/credit-scorecard", "kernel_id": "111999399"}, {"ref": "seunguklee/give-me-some-credit", "kernel_id": "112813006"}, {"ref": "klaydaahin/predicting-financial-default-sql-xgboost-shap", "kernel_id": "113367882"}, {"ref": "nandinisaxenaaa/logreg", "kernel_id": "114673589"}, {"ref": "juniorcl/credit-score-simple-feature-engineering", "kernel_id": "116464020"}, {"ref": "alimo138/codealpha-emotion-recognition-from-speech", "kernel_id": "116893899"}, {"ref": "ikkimasuta/credit-original-note", "kernel_id": "116188291"}, {"ref": "ikkimasuta/credit-original-note2", "kernel_id": "116190646"}, {"ref": "yangheeyeon/credit-risk-analysis", "kernel_id": "116923592"}, {"ref": "hermitsays/calibrated-credit-risk-model-xgb-lgbm-ensemble", "kernel_id": "117644371"}, {"ref": "zamrapanhwar/zamra-s-machine-learning-assignment", "kernel_id": "117281531"}, {"ref": "husainridwan/comprehensive-model-using-randomforest-classifier", "kernel_id": "118322180"}, {"ref": "kashmirapatil/credit-risk-intelligence-system", "kernel_id": "120046396"}, {"ref": "terrytsai23541/notebookbdd7bdad0d", "kernel_id": "120995611"}, {"ref": "maruamakpyr/credit-risk-scoring-xgboost-vs-catboost", "kernel_id": "121583832"}, {"ref": "kashifkhan63/credit-model", "kernel_id": "121922769"}, {"ref": "emigdiotormolopez/credit-default-prediction", "kernel_id": "121144293"}, {"ref": "andresllases/credit-risk-intelligence-ml-explicable-con-shap", "kernel_id": "122752755"}, {"ref": "plamen06/tum-credit-delinquency", "kernel_id": "123876708"}, {"ref": "ignatushavalentine/tum-credit-delinquency11", "kernel_id": "123926971"}, {"ref": "liwemjing/22222", "kernel_id": "125300712"}, {"ref": "zeyvwa/notebooke76e53ab6a", "kernel_id": "125421897"}, {"ref": "anhcung/demo-gmsc-improved-tabnet", "kernel_id": "127436283"}, {"ref": "ahmedramadanmephi/credit-scoring-model", "kernel_id": "130626767"}, {"ref": "shinthurie/loanlens", "kernel_id": "132858013"}, {"ref": "chuminhhin/fork-of-x-l-data-ml", "kernel_id": "135788134"}, {"ref": "elvashaviello/submission", "kernel_id": "136542887"}]}
{"competition_id": "2552", "kernels": []}
{"competition_id": "2554", "kernels": []}
{"competition_id": "2555", "kernels": []}
{"competition_id": "2558", "kernels": []}
{"competition_id": "2559", "kernels": []}
{"competition_id": "2564", "kernels": [{"ref": "cherednichenkoa/do-not-get-kicked-keras", "kernel_id": "1972666"}, {"ref": "yairhadad1/cars-bad-buy", "kernel_id": "3081027"}, {"ref": "dhruvgupta2801/don-t-get-kicked", "kernel_id": "9509800"}, {"ref": "funxexcel/intermediate-code-k-fold-don-t-get-kicked", "kernel_id": "10971152"}, {"ref": "funxexcel/starter-code-don-t-get-kicked-rf-model", "kernel_id": "10954689"}, {"ref": "rahulkumar234/kernel7b2d75bf16", "kernel_id": "10829611"}, {"ref": "pranavmittal88/kernel4b785e3973", "kernel_id": "10533102"}, {"ref": "ramensingh/don-t-get-kicked", "kernel_id": "10230620"}, {"ref": "teramera/kernel782317bb70", "kernel_id": "10520515"}, {"ref": "julianbenny/don-t-get-kicked-knn", "kernel_id": "10537807"}, {"ref": "roohisharma/don-t-get-kicked", "kernel_id": "10597789"}, {"ref": "lynnshin/notebook8d8e611ee7", "kernel_id": "11875903"}, {"ref": "lynnshin/notebookca7600b26f", "kernel_id": "11790197"}, {"ref": "funxexcel/don-t-get-kicked-pipeline-feat-engineering", "kernel_id": "12447362"}, {"ref": "funxexcel/don-t-get-kicked-pipeline-improved", "kernel_id": "12567384"}, {"ref": "ayusheeagarwal/don-t-get-kicked", "kernel_id": "12169611"}, {"ref": "arko007/knn-car-buy", "kernel_id": "13511455"}, {"ref": "semenedel/carbuy", "kernel_id": "13197796"}, {"ref": "chananna/dontgetkicked-fin", "kernel_id": "13295220"}, {"ref": "sanskrutighadipatil/cars-buy", "kernel_id": "13804125"}, {"ref": "rohitjagirdar/don-t-get-kicked", "kernel_id": "13359341"}, {"ref": "varunsimhareddy/varun-don-t-get-kicked", "kernel_id": "13620658"}, {"ref": "lakshadvani/don-t-get-kicked-pipeline-improved", "kernel_id": "14739869"}, {"ref": "chromerai/submission01", "kernel_id": "14053591"}, {"ref": "subhamsagarpaira/knn-don-t-get-kicked", "kernel_id": "14108148"}, {"ref": "anu332/don-t-get-kicked-anurag", "kernel_id": "14577717"}, {"ref": "nishita17/dgk-n", "kernel_id": "14737277"}, {"ref": "hyomo7/rfregressor-dontgetkicked0-22", "kernel_id": "14123831"}, {"ref": "dawool1218/kicked-ml-p", "kernel_id": "14004992"}, {"ref": "dhawalsoni/dgk-knn", "kernel_id": "14082020"}, {"ref": "lakad007/don-t-get-kicked-pipeline-improved", "kernel_id": "14845970"}, {"ref": "shaojunluo/don-t-get-kicked", "kernel_id": "15814753"}, {"ref": "xevator/notebookb73bc79c5c", "kernel_id": "15190279"}, {"ref": "aryaadesh/dont-get-kicked", "kernel_id": "15592956"}, {"ref": "mgen2020/carbuy", "kernel_id": "15173213"}, {"ref": "diyadodwad/notebook48afd4e347", "kernel_id": "15078492"}, {"ref": "sachingupta2212/don-t-get-kicked-task", "kernel_id": "15129696"}, {"ref": "mohdmaazkhan/dontgetkicked", "kernel_id": "15627352"}, {"ref": "sakshi0100/dont-getkicked", "kernel_id": "16549288"}, {"ref": "anujkumaraj/car-buy-project", "kernel_id": "16440540"}, {"ref": "kyuhwanjung2/don-tgetkicked-base-week4", "kernel_id": "16348166"}, {"ref": "rahulgujjar/don-t-get-kicked-by-knn", "kernel_id": "16762986"}, {"ref": "sajjadwasti/notebooke5820dd8b4", "kernel_id": "16402638"}, {"ref": "denimthangjam/don-t-get-kicked", "kernel_id": "16853455"}, {"ref": "harisonmwangi/don-t-get-kicked-eda", "kernel_id": "17165928"}, {"ref": "mikhailtokar/ml-rgr-dgk", "kernel_id": "17245327"}, {"ref": "pranjal6192/notebook06be79445f", "kernel_id": "17405658"}, {"ref": "nikhiln2312/car-pred", "kernel_id": "17439588"}, {"ref": "rajeshwaris/don-t-get-kicked", "kernel_id": "17875752"}, {"ref": "arvindraj/aravindraj-base-solution-rf-hyper", "kernel_id": "18501726"}, {"ref": "funxexcel/dgk-base-solution-rf", "kernel_id": "18497557"}, {"ref": "funxexcel/dgk-base-solution-rf-hyper", "kernel_id": "18501612"}, {"ref": "tejasboss/dontgetkicked-knn-car-buy", "kernel_id": "18259654"}, {"ref": "mhtmsr/dgk-base-solution-rf-hyper", "kernel_id": "18501625"}, {"ref": "rajeshwaris/dont-get-kicked", "kernel_id": "18665610"}, {"ref": "shayistamulla/don-t-get-kicked-car-buy", "kernel_id": "18375210"}, {"ref": "prathikshabr/carbuykaggleproject-1", "kernel_id": "18674765"}, {"ref": "keerthanamreddy/dgk-week-2", "kernel_id": "18581022"}, {"ref": "yogesh893/dont-get-kicked", "kernel_id": "19638737"}, {"ref": "balajinagappan/don-t-get-kicked-sklearn-from-scratch", "kernel_id": "20655556"}, {"ref": "vibgreon/notebook368c633e15", "kernel_id": "20030886"}, {"ref": "kyuhwanjung2/don-tgetkicked-week5", "kernel_id": "21797936"}, {"ref": "kyuhwanjung2/don-tgetkicked-10-20", "kernel_id": "21363226"}, {"ref": "kyuhwanjung2/don-tgetkicked", "kernel_id": "21334839"}, {"ref": "karpagamsaravanan/dgk-base-solution-rf", "kernel_id": "22372611"}, {"ref": "saipramod1425/dgk-base-solution-lr", "kernel_id": "22373096"}, {"ref": "svnsdhananjayreddy/don-t-get-kicked", "kernel_id": "22179946"}, {"ref": "gsarwar12356/dgk-base-solution-rf", "kernel_id": "22373105"}, {"ref": "svijesh/dgk-base-solution-rf", "kernel_id": "22373097"}, {"ref": "chatterg11/dgk-base-solution-rf", "kernel_id": "22373101"}, {"ref": "kalyani6592/dgk-base-solution-rf", "kernel_id": "22373103"}, {"ref": "msanusha/dgk-base-solution-rf", "kernel_id": "22373176"}, {"ref": "rashmibanthia/dgk-optuna", "kernel_id": "24265154"}, {"ref": "mdmaazkhan/ce-car-buy", "kernel_id": "24583531"}, {"ref": "dingli/predict-if-a-car-purchased-at-auction-is-a-lemon", "kernel_id": "27648506"}, {"ref": "kyuhwanjung2/don-tgetkicked-0513", "kernel_id": "27025177"}, {"ref": "ajaypalsinghlo/dontgetkicked", "kernel_id": "28217493"}, {"ref": "ishan2851/car-competition-dontgetkicked", "kernel_id": "28211640"}, {"ref": "kyuhwanjung2/don-tgetkicked-abl", "kernel_id": "29494366"}, {"ref": "phillipadkins/dont-get-kicked-starter", "kernel_id": "30775512"}, {"ref": "mahajo/don-t-get-kicked", "kernel_id": "32668561"}, {"ref": "iamamir/used-cars-purchase", "kernel_id": "34747845"}, {"ref": "kotrying/win-the-past-competition-don-t-get-kicked", "kernel_id": "34027004"}, {"ref": "kyuhwanjung2/don-tgetkicked-2023", "kernel_id": "36873720"}, {"ref": "funxexcel/ipba-14-ml-case-study-predict-lemon-w-pipeline", "kernel_id": "37293696"}, {"ref": "funxexcel/ipba-14-ml-case-study-predict-lemon-nopipeline", "kernel_id": "37291666"}, {"ref": "subhadeepmandal0506/don-t-get-kicked-random-forest-87-accuracy", "kernel_id": "37044963"}, {"ref": "themlphdstudent/don-t-get-kicked", "kernel_id": "40841237"}, {"ref": "yashankleshwaiya/note-1", "kernel_id": "41699863"}, {"ref": "funxexcel/dsm-dgk-2-handling-imbalance", "kernel_id": "43315787"}, {"ref": "funxexcel/dsm-dgk-3-handling-numerical-features", "kernel_id": "43360084"}, {"ref": "funxexcel/dsm-dgk-1-base-solution", "kernel_id": "43247808"}, {"ref": "funxexcel/dsm-dgk-5-feature-selection", "kernel_id": "43744966"}, {"ref": "funxexcel/dsm-dgk-6-compare-different-models", "kernel_id": "43745551"}, {"ref": "funxexcel/dsm-dgk-4-treating-outliers", "kernel_id": "43741218"}, {"ref": "abaliyan/base-1", "kernel_id": "43246720"}, {"ref": "shabeenashafiulla/don-tgetkicked-v1", "kernel_id": "43808402"}, {"ref": "shabeenashafiulla/dontgetkicked-cardinality-treated", "kernel_id": "43894876"}, {"ref": "shabeenashafiulla/dontgetkicked-feature-selection", "kernel_id": "43962653"}, {"ref": "shabeenashafiulla/dontgetkicked-outlier-treatement", "kernel_id": "43931732"}, {"ref": "shabeenashafiulla/dontgetkicked-randomforest", "kernel_id": "44609487"}, {"ref": "shabeenashafiulla/don-tgetkicked-decisiontree-classifier", "kernel_id": "44608539"}, {"ref": "shabeenashafiulla/dontgetkicked-logistic-regression", "kernel_id": "44007582"}, {"ref": "sytuannguyen/kicked-car-prediction", "kernel_id": "45448306"}, {"ref": "shabeenashafiulla/dont-get-kicked-bagging", "kernel_id": "45640675"}, {"ref": "justinandewross/dontgetkicked", "kernel_id": "46944836"}, {"ref": "jakehiltscher/xgboost-don-t-get-kicked", "kernel_id": "47735013"}, {"ref": "gavinhatch/gavin-don-t-get-kicked", "kernel_id": "47316154"}, {"ref": "gavinhatch/gavin-dontgetkicked-stacking-model", "kernel_id": "47679101"}, {"ref": "tylersmith04/dgkbart", "kernel_id": "47434759"}, {"ref": "colebowen/dontgetkicked-stacking", "kernel_id": "47527329"}, {"ref": "annawolford/don-t-get-kicked-penalized-regression", "kernel_id": "47423601"}, {"ref": "michaelmiceli/lightgbm-stack-randomforest", "kernel_id": "47754444"}, {"ref": "hyejikyung/don-t-get-kicked", "kernel_id": "47533535"}, {"ref": "annawolford/anna-dontgetkicked-stacking", "kernel_id": "48098479"}, {"ref": "amir3rfan/eda-practice", "kernel_id": "49735554"}, {"ref": "erfaneshghelahi/don-tgetkicked-prepration-week1", "kernel_id": "49603293"}, {"ref": "alirezaemamifard/carvana", "kernel_id": "49714982"}, {"ref": "anitagolshan/dont-get-kicked-clean", "kernel_id": "50152069"}, {"ref": "anitagolshan/dont-get-chicked", "kernel_id": "50089959"}, {"ref": "zahrazolghadr/dm-excercise-week01-eda", "kernel_id": "54228414"}, {"ref": "amir3rfan/dont-get-kick", "kernel_id": "54570740"}, {"ref": "alirezaemamifard/carvana-new", "kernel_id": "54592777"}, {"ref": "faridedehghani/dm-excercise-week01-eda", "kernel_id": "54304199"}, {"ref": "fpirinc/don-t-get-kicked", "kernel_id": "56812035"}, {"ref": "erfaneshghelahi/pipeline-donotgetkicked", "kernel_id": "58131051"}, {"ref": "anitagolshan/carvana-pipeline", "kernel_id": "58993582"}, {"ref": "davidterminator/dm-excercise-week01-eda", "kernel_id": "59924124"}, {"ref": "fereshtesoleimanian/dontgetkicke-pipline", "kernel_id": "59601801"}, {"ref": "hikmetdevlet/10-don-t-get-kicked", "kernel_id": "60861921"}, {"ref": "erfaneshghelahi/decision-tree-don-t-getlicked", "kernel_id": "60097562"}, {"ref": "mojganka/dgk-pipeline-comp", "kernel_id": "60116190"}, {"ref": "faranakshahzamani/dont-get-kick", "kernel_id": "61228721"}, {"ref": "drsjamshidinejad/eda-carvana", "kernel_id": "61791552"}, {"ref": "mahjoubehkhodadadi/data-mining-on-car-auction-ex1", "kernel_id": "61821520"}, {"ref": "fereshtesoleimanian/transformed-carvana-data", "kernel_id": "61901839"}, {"ref": "shmousavi02/dm-excercise-week02-03-data-cleaning", "kernel_id": "61595036"}, {"ref": "shmousavi02/dm-excercise-week01-eda", "kernel_id": "61314041"}, {"ref": "attiyehghalamboran/eda-in-data-mining-car-auction", "kernel_id": "61412555"}, {"ref": "zaralavii/data-mining-on-car-auction-data", "kernel_id": "61701066"}, {"ref": "drsjamshidinejad/exercise2-preprocessing", "kernel_id": "62165089"}, {"ref": "attiyehghalamboran/data-mining-car-auction", "kernel_id": "62596909"}, {"ref": "mahanmotie/dm-excercise-week01-eda", "kernel_id": "63175858"}, {"ref": "umerdaud/dont-get-kicked-classification", "kernel_id": "63609622"}, {"ref": "attiyehghalamboran/car-auction-competition-pipeline", "kernel_id": "64387112"}, {"ref": "ghazalehghorbani/carvana-car-auction-eda", "kernel_id": "65918697"}, {"ref": "amirmasoudmirdamadi/dm-excercise-week03-data-cleaning-a-mirdamadian", "kernel_id": "65055045"}, {"ref": "shmousavi02/dm-excercise-dontgetkicked-pipeline", "kernel_id": "65407686"}, {"ref": "shararehvahidi/carvanapipeline", "kernel_id": "65851474"}, {"ref": "amirhashemi1999/data-minning", "kernel_id": "66959712"}, {"ref": "rezaafkhamnia/eda-on-don-t-get-kicked", "kernel_id": "67695616"}, {"ref": "rezaafkhamnia/data-cleaning-don-t-get-kicked", "kernel_id": "67833130"}, {"ref": "amirmasoudmirdamadi/data-cleaning-a-mirdamadian", "kernel_id": "67850350"}, {"ref": "shahmansouri/dm-excercise-eda-shahmansouri", "kernel_id": "67217173"}, {"ref": "amirtaymourpour/dm-excercise-weeks1-3-eda", "kernel_id": "67197468"}, {"ref": "elhamkhorsand/datamining-dataprepration-on-vehicleauctiondataset", "kernel_id": "67324959"}, {"ref": "kiyarashiranshahi/dm-don-t-get-kicked-eda-week1", "kernel_id": "67049431"}, {"ref": "samiranasri/don-t-get-kicked", "kernel_id": "67006082"}, {"ref": "samiranasri/predicting-car-auction-outcomes-with-data-mining", "kernel_id": "67335577"}, {"ref": "mahsakhalajzade/don-t-get-kicked", "kernel_id": "67031402"}, {"ref": "amirtaymourpour/datamining-dayche-preparation-and-analysis", "kernel_id": "68432155"}, {"ref": "amintaghavifar/excercise-pro-carvana-2", "kernel_id": "69528809"}, {"ref": "mohammadnaserian/don-t-get-kicked-pipeline", "kernel_id": "70762216"}, {"ref": "amirtaymourpour/caravana-problem-data-mining-project", "kernel_id": "70289481"}, {"ref": "jaromasher/boost-forest-stacked-model", "kernel_id": "72397497"}, {"ref": "halfapotato/notebook-don-t-get-kicked", "kernel_id": "72529639"}, {"ref": "milescottrell/notebookc3e05db44c", "kernel_id": "72782467"}, {"ref": "joshnicholls/random-forest-for-don-t-get-kicked", "kernel_id": "72408730"}, {"ref": "nicvorster/don-t-get-kicked-challenge", "kernel_id": "72656802"}, {"ref": "samballs/don-t-get-kicked-sam-balls", "kernel_id": "72519492"}, {"ref": "maryamsajjadpour/dm-excercise-week01-eda-sajjadpour", "kernel_id": "73870777"}, {"ref": "amintaghavifar/exercise-carvana-taghavi", "kernel_id": "73551239"}, {"ref": "kiyarashiranshahi/pipeline-don-t-get-kicked-week6", "kernel_id": "73637598"}, {"ref": "aliazimieco/dm-excercise-week02-data-cleaning", "kernel_id": "74789710"}, {"ref": "shahrzadnosrat/dm-excercise-week01-eda", "kernel_id": "74410514"}, {"ref": "elhamkhorsand/carvana-pipeline", "kernel_id": "74089094"}, {"ref": "aamirsshayan/dm-excercise-week01-eda", "kernel_id": "74073123"}, {"ref": "aamirsshayan/excercise-week02-data-cleaning", "kernel_id": "74893651"}, {"ref": "kosarahmadian/dm-excercise-week01-edas", "kernel_id": "74078600"}, {"ref": "kosarahmadian/dm-excercise-week02-data-cleaning", "kernel_id": "74937900"}, {"ref": "minaeghtedarian/dm-excercise-week01-eda", "kernel_id": "74033859"}, {"ref": "minaeghtedarian/dm-excercise-week02-data-cleaning", "kernel_id": "74678324"}, {"ref": "saeidfaraji/dm-excercise-week01-eda", "kernel_id": "74409649"}, {"ref": "saeidfaraji/dm-excercise-week02-data-cleaning", "kernel_id": "76225719"}, {"ref": "maryamsajjadpour/carvana-pipeline", "kernel_id": "77521486"}, {"ref": "aliazimieco/is-purchase-date-the-redflag-for-bad-carvana-deals", "kernel_id": "77799253"}, {"ref": "kosarahmadian/dm-excercise-week06-carvana-pipelines", "kernel_id": "77709595"}, {"ref": "minaeghtedarian/dm-excercise-week06-carvana-pipeline", "kernel_id": "77287767"}, {"ref": "aliazimieco/carvanapipeline2", "kernel_id": "78233253"}, {"ref": "saeidfaraji/dm-excercise-week06-carvana-pipeline", "kernel_id": "78182969"}, {"ref": "samanenajarian/exploratory-data-analysis", "kernel_id": "80663741"}, {"ref": "alighorashi1995/dm-excercise-week01-eda", "kernel_id": "80728433"}, {"ref": "mobinashamsodin/data-mining-first-week", "kernel_id": "81107990"}, {"ref": "mobinashamsodin/data-mining-second-week", "kernel_id": "81181205"}, {"ref": "mobinashamsodin/data-mining-third-week", "kernel_id": "81381434"}, {"ref": "behradnorouzieh/3-1-e1-dm-excercise-week01-eda", "kernel_id": "81223629"}, {"ref": "atakhatibi/dontgetkicked", "kernel_id": "82016301"}, {"ref": "aliazimieco/carvana-pipeline-3", "kernel_id": "82664809"}, {"ref": "kosarahmadian/fork-of-dm-excercise-week06-carvana-pipelines", "kernel_id": "82604479"}, {"ref": "atakhatibi/dontgetkicked2", "kernel_id": "83727638"}, {"ref": "samanenajarian/carvana-pipeline", "kernel_id": "83402667"}, {"ref": "maryamrezaei78/dm-excercise-week01-eda", "kernel_id": "83080284"}, {"ref": "atakhatibi/dontgetkicked3", "kernel_id": "84587496"}, {"ref": "maryamrezaei78/dm-excercise-week02-data-cleaning", "kernel_id": "84023006"}, {"ref": "samanenajarian/decision-tree", "kernel_id": "86087299"}, {"ref": "soroushjalali26/car-auction-risk-prediction", "kernel_id": "89737198"}, {"ref": "yousofdavamkar/dm-excercise-week01-eda", "kernel_id": "90171405"}, {"ref": "yousofdavamkar/dm-excercise-week02-data-cleaning", "kernel_id": "90311980"}, {"ref": "mozhgandivsalar/dm-excercise-week01-eda", "kernel_id": "91199483"}, {"ref": "mohammad629/dm-excercise-week01-eda", "kernel_id": "91159891"}, {"ref": "mohammad629/dm-excercise-week02-data-cleaning", "kernel_id": "91469367"}, {"ref": "shahrzadnosrat/3rd-week-data-mining", "kernel_id": "94479819"}, {"ref": "shahrzadnosrat/2nd-week-data-mining", "kernel_id": "94469752"}, {"ref": "shahrzadnosrat/carvana-pipeline", "kernel_id": "94891662"}, {"ref": "shahrzadnosrat/carvana-preprocessing", "kernel_id": "94806618"}, {"ref": "mohammad629/week-3-exercise-data-conversion", "kernel_id": "94344440"}, {"ref": "sinayazdkhasti/dm-excercise-week01-eda", "kernel_id": "97409751"}, {"ref": "peymanghasemi1371/pipeline", "kernel_id": "97801124"}, {"ref": "mobimahdavi/project-for-week-1-data-mining", "kernel_id": "98582317"}, {"ref": "rezatir/dm-exercise-week01-eda", "kernel_id": "98762979"}, {"ref": "royadaemiattaran/dm-excercise-week01-eda", "kernel_id": "98138947"}, {"ref": "parisafereydouni/dm-excercise-week01-eda", "kernel_id": "98176731"}, {"ref": "barmanjabbarnia/dont-get-kicked", "kernel_id": "98772300"}, {"ref": "saminhajighorbani/dm-excercise-week01-eda", "kernel_id": "98416257"}, {"ref": "mahdiyeghashangi/dm-excercise-week01-eda", "kernel_id": "98775624"}, {"ref": "ellawalker8/don-t-get-kicked", "kernel_id": "99761412"}, {"ref": "mobimahdavi/week-2-data-cleaning", "kernel_id": "99306887"}, {"ref": "peymanghasemi1371/dm-excercise-week02-data-cleaning", "kernel_id": "99684865"}, {"ref": "rezatir/dm-exercise-week02-data-cleaning", "kernel_id": "100745713"}, {"ref": "royadaemiattaran/dm-excercise-week02-data-cleaning", "kernel_id": "100249900"}, {"ref": "royadaemiattaran/fork-of-dm-excercise-week02-data-cleaning", "kernel_id": "100696142"}, {"ref": "saminhajighorbani/dm-excercise-week02-data-cleaning", "kernel_id": "100680603"}, {"ref": "mahdiyeghashangi/dm-excercise-week02-data-cleaning", "kernel_id": "100741911"}, {"ref": "voluichik/auto-ml-itmo", "kernel_id": "102330832"}, {"ref": "elisejohnson3/don-t-get-kicked-notebook", "kernel_id": "103707058"}, {"ref": "mmsmith3/don-t-get-kicked-predictions-kaggle-competition", "kernel_id": "103690242"}, {"ref": "skirkham/stat-348-kaggle-notebook", "kernel_id": "103771442"}, {"ref": "angelinacamen/final-competition-don-t-get-kicked", "kernel_id": "103767390"}, {"ref": "mitchaaron/random-forest-model-for-don-t-get-kicked", "kernel_id": "103698900"}, {"ref": "josephabumanneh2/don-t-get-kicked-random-forest-with-tidymodels", "kernel_id": "103790996"}, {"ref": "mobimahdavi/week-06-carvana-pipeline", "kernel_id": "105761276"}, {"ref": "peymanghasemi1371/pipeline-cavana", "kernel_id": "105966546"}, {"ref": "mozhgandivsalar/dm-excercise-week06-pipeline", "kernel_id": "106208355"}, {"ref": "verresk/basga-test", "kernel_id": "126515974"}]}
{"competition_id": "2589", "kernels": []}
{"competition_id": "2602", "kernels": []}
{"competition_id": "2606", "kernels": [{"ref": "muhammadshaheereijaz/24k-2567-24k-2514-24k-2507-wdyk", "kernel_id": "102989299"}]}
{"competition_id": "2609", "kernels": [{"ref": "sytuannguyen/photo-quality-prediction", "kernel_id": "45454180"}]}
{"competition_id": "2658", "kernels": []}
{"competition_id": "2667", "kernels": [{"ref": "mpwolke/hewlett-foundation-essay-scoring", "kernel_id": "10601432"}, {"ref": "irfanmansuri/the-havelett-foundation-automated-scoring", "kernel_id": "11924430"}, {"ref": "rathimadhav/notebook79ae0de477", "kernel_id": "11462502"}, {"ref": "soumya9977/autograding-using-lstm-tf-keras", "kernel_id": "13449876"}, {"ref": "dodger23/automated-content-grading", "kernel_id": "15821032"}, {"ref": "sanygmez/autograding-using-lstm-tf-keras", "kernel_id": "20846341"}, {"ref": "artemnechaev/ell-trian", "kernel_id": "30288290"}, {"ref": "syedstar123/autograding-using-lstm-tf-keras", "kernel_id": "33133345"}, {"ref": "ktgiahieu/fork-of-llms-distilroberta-grade-aes-ep10", "kernel_id": "36509165"}, {"ref": "ktgiahieu/llms-chatgpt-grade-aes", "kernel_id": "36483210"}, {"ref": "ktgiahieu/llms-tf-idf-grade-aes-v2", "kernel_id": "36504522"}, {"ref": "wesamalsohle/notebook85aa4ff348", "kernel_id": "37573266"}, {"ref": "iamadisharma/notebooke702f5e094", "kernel_id": "38654741"}, {"ref": "jrsmarcilio/lstm-tf-keras-automatic-essay-grading", "kernel_id": "38717664"}, {"ref": "vikramsandu/commonlit-mlm", "kernel_id": "41600870"}, {"ref": "deltawi/bert-sequence-classification", "kernel_id": "45911335"}, {"ref": "shefiyyahaurellia/autograding-using-lstm-tf-keras", "kernel_id": "47354533"}, {"ref": "weiyanfeng/asap-bert", "kernel_id": "49440893"}, {"ref": "misgna/handcrafted-features-for-automated-essay-scoring", "kernel_id": "50807295"}, {"ref": "misgna/multilayer-perceptron-for-automated-essay-scoring", "kernel_id": "50806127"}, {"ref": "huonglientrinh/graduation-thesis", "kernel_id": "52440129"}, {"ref": "huonglientrinh/graduation-thesis-final", "kernel_id": "53658349"}, {"ref": "ravikishore63/multi-scale-features-try", "kernel_id": "55203728"}, {"ref": "raviiloveyou/multi-scale-features-try", "kernel_id": "56289945"}, {"ref": "raviiloveyou/sbert-aes", "kernel_id": "56306810"}, {"ref": "nandaprasetia/automated-essay-scoring-lstm-classification", "kernel_id": "56401615"}, {"ref": "nandaprasetia/automated-essay-scoring-mlp-regression", "kernel_id": "56358543"}, {"ref": "nandaprasetia/automated-essay-scoring-mlp-classification", "kernel_id": "56324170"}, {"ref": "xuankhangpham/essay-scoring-and-off-topic-detection-model", "kernel_id": "71206823"}, {"ref": "sungwu/llm-fine-tuning", "kernel_id": "76293149"}, {"ref": "ravigiri20027/explainable-aes", "kernel_id": "81863626"}, {"ref": "rahmonjorge/aes-tentativa-2", "kernel_id": "92860924"}, {"ref": "rahmonjorge/task-1-aes", "kernel_id": "92095633"}, {"ref": "brennoaraujo5555/tenvence-ulra", "kernel_id": "92259897"}, {"ref": "febrynn/sbert-aes-b8f217", "kernel_id": "98922650"}, {"ref": "jfsdgnni/notebook98e22dcf7c", "kernel_id": "104890797"}, {"ref": "adnanik23/aes-using-deeplstm", "kernel_id": "132765931"}]}
{"competition_id": "2711", "kernels": []}
{"competition_id": "2730", "kernels": [{"ref": "marshallgrinstead/uci77b-jokes-collaborative-filtering", "kernel_id": "52374978"}]}
{"competition_id": "2732", "kernels": []}
{"competition_id": "2742", "kernels": [{"ref": "mpwolke/eye-movements-verification-emvic", "kernel_id": "39768213"}]}
{"competition_id": "2748", "kernels": []}
{"competition_id": "2749", "kernels": [{"ref": "shivashi11/ad-click-prediction", "kernel_id": "7406175"}, {"ref": "santanukundu/kdd-cup-data-analysis-1", "kernel_id": "42793272"}]}
{"competition_id": "2752", "kernels": []}
{"competition_id": "2758", "kernels": []}
{"competition_id": "2762", "kernels": []}
{"competition_id": "2780", "kernels": [{"ref": "ludi666/lr-regression", "kernel_id": "1720101"}, {"ref": "zmey56/my-learning-kernel", "kernel_id": "2894153"}, {"ref": "zmey56/my-first-kernels-from-coursera", "kernel_id": "2389765"}, {"ref": "iapetus509/20190827-nn-lgbm-ensemble2", "kernel_id": "5549625"}, {"ref": "anastasia484/predicting-a-biological-response", "kernel_id": "7822086"}, {"ref": "lidiiachernysh/gradientboosting-homework", "kernel_id": "8931732"}, {"ref": "vernondsouza123/predict-biological-response-through-lightgbm", "kernel_id": "10458822"}, {"ref": "evgeniypolin/ml-7-predicting-a-biological-response", "kernel_id": "30189914"}, {"ref": "dmitryabr/predicting-draft-1", "kernel_id": "32469443"}, {"ref": "alexvolodin/ml-7-ht", "kernel_id": "32810372"}, {"ref": "ahmedashrafahmed/predicting-a-biologicalresponse-using-randomforest", "kernel_id": "33305945"}, {"ref": "natashasimmons/predicting-a-biological-response", "kernel_id": "33567109"}, {"ref": "ashtcoder/bio-response", "kernel_id": "34340894"}, {"ref": "fido8alex/ml-7-hw-3", "kernel_id": "35695686"}, {"ref": "natalykovina/bio-moleculas", "kernel_id": "36813556"}, {"ref": "artem2121/molecules", "kernel_id": "36720716"}, {"ref": "annamalkova88/ml-7-prediction-of-biological-response", "kernel_id": "37700461"}, {"ref": "alexanderconst/homework", "kernel_id": "38726371"}, {"ref": "sergeyexp/ml-7-in-kaggle", "kernel_id": "39620757"}, {"ref": "pareto80/biol-all", "kernel_id": "40511130"}, {"ref": "andreydeni/practice-ml-7-hw-03", "kernel_id": "40090883"}, {"ref": "askornyakov1977/predicting-a-biological-response", "kernel_id": "46697105"}, {"ref": "ivankashkan/ml-7-hw-lamewarden", "kernel_id": "48380465"}, {"ref": "errrri/eu-biological-response", "kernel_id": "49956274"}, {"ref": "curious771/notebookd44229e904", "kernel_id": "78584262"}, {"ref": "iapetus509/fork-of-20190709-lgbm-5options-lr-biologic-5c02c4", "kernel_id": "81480187"}, {"ref": "iapetus509/fork-of-2019082324-nn1", "kernel_id": "81483735"}, {"ref": "sokol7776/notebookfe3962c2ae", "kernel_id": "102978872"}, {"ref": "vladafed/bioresponse", "kernel_id": "112724100"}, {"ref": "jasper0037/notebookd0e18c124b", "kernel_id": "136371552"}]}
{"competition_id": "2799", "kernels": [{"ref": "mpwolke/million-songs-zip-txt", "kernel_id": "39769071"}, {"ref": "mayankmehra25/music-recommeder-system", "kernel_id": "40498705"}]}
{"competition_id": "2831", "kernels": []}
{"competition_id": "2840", "kernels": []}
{"competition_id": "2860", "kernels": [{"ref": "abhigyaverma/psychopathy-prediction-using-regression-techniques", "kernel_id": "35781218"}, {"ref": "annamalkova88/psychopathy-prediction-my-vers", "kernel_id": "38522335"}, {"ref": "elifabdulhalim/psychopathy-ml-model", "kernel_id": "55429554"}, {"ref": "cardata/prediction-of-personality", "kernel_id": "55314550"}]}
{"competition_id": "2863", "kernels": [{"ref": "mpwolke/donate-to-organizational-mission", "kernel_id": "40339401"}]}
{"competition_id": "2888", "kernels": []}
{"competition_id": "2889", "kernels": [{"ref": "sanikamal/air-quality-prediction-eda", "kernel_id": "4022229"}, {"ref": "bennheinz/air-quality-forecasting", "kernel_id": "29612660"}]}
{"competition_id": "2895", "kernels": []}
{"competition_id": "2917", "kernels": []}
{"competition_id": "2935", "kernels": []}
{"competition_id": "2947", "kernels": [{"ref": "ajaysh/stackoverflow-tag-prediction", "kernel_id": "6180056"}, {"ref": "curioso/link-prediction-facebook", "kernel_id": "7783810"}, {"ref": "genialgokul1099/social-network-graph-link-prediction", "kernel_id": "12378968"}, {"ref": "vohoangbaoduy/lab3-link-prediction", "kernel_id": "29016389"}, {"ref": "phmpht/lab3-gm", "kernel_id": "41895492"}, {"ref": "sikandersaifi/link-prediction-twitter", "kernel_id": "48502980"}, {"ref": "cseprojetcs/link-prediction-fb", "kernel_id": "48508464"}, {"ref": "ngocnguyen2912/run-lab03", "kernel_id": "48139733"}, {"ref": "sikandersaifi89/link-prediction-fb", "kernel_id": "48508217"}, {"ref": "dharmaputra13/run-lab03", "kernel_id": "59710575"}, {"ref": "kennethcp/run-lab03", "kernel_id": "59708218"}]}
{"competition_id": "2954", "kernels": []}
{"competition_id": "2958", "kernels": [{"ref": "mpwolke/emc-israel-data-science", "kernel_id": "40022750"}]}
{"competition_id": "2959", "kernels": [{"ref": "vikramsandu/commonlit-mlm", "kernel_id": "41600870"}, {"ref": "rickygole/testt", "kernel_id": "118286396"}]}
{"competition_id": "2963", "kernels": [{"ref": "mpwolke/emi-music-ds-hackathon", "kernel_id": "40032289"}]}
{"competition_id": "2969", "kernels": []}
{"competition_id": "2975", "kernels": []}
{"competition_id": "2984", "kernels": []}
{"competition_id": "3004", "kernels": [{"ref": "antgoldbloom/rf-proximity-with-improved-color-palate", "kernel_id": "297"}, {"ref": "antgoldbloom/notebook-acb46990f7157de6b2ab", "kernel_id": "21612"}, {"ref": "antgoldbloom/notebook-72a593e44101046c45f5", "kernel_id": "21613"}, {"ref": "antgoldbloom/notebook-1d8611eb01796da19320", "kernel_id": "22219"}, {"ref": "antgoldbloom/notebook-d739d2caf6827631e961", "kernel_id": "22578"}, {"ref": "antgoldbloom/notebook-1afc8bc804adb7a249b1", "kernel_id": "23360"}, {"ref": "antgoldbloom/notebook-c09b6a67e8bf6bb3e0ce", "kernel_id": "24925"}, {"ref": "antgoldbloom/tensorflow-deep-nn", "kernel_id": "43280"}, {"ref": "antgoldbloom/notebook-27fe7a6bced1f936a776", "kernel_id": "44299"}, {"ref": "antgoldbloom/notebook-33224a328ec72614d489", "kernel_id": "46720"}, {"ref": "antgoldbloom/notebook-38c0bbbb3ee888ab9208", "kernel_id": "46757"}, {"ref": "antgoldbloom/notebook-1220d8ae2f8dfda4877f", "kernel_id": "47227"}, {"ref": "antgoldbloom/notebook-6d5b8cc063048310c7b6", "kernel_id": "47228"}, {"ref": "antgoldbloom/notebook-aacfac94caac37c7b357", "kernel_id": "47662"}, {"ref": "antgoldbloom/notebook-dc88741b850ff5105923", "kernel_id": "48366"}, {"ref": "antgoldbloom/notebook-5d48a14b1a5090e76a43", "kernel_id": "48367"}, {"ref": "antgoldbloom/notebook-81313da803e1cecb9aaa", "kernel_id": "51942"}, {"ref": "antgoldbloom/demo-for-oleg", "kernel_id": "55335"}, {"ref": "antgoldbloom/rf-proximity", "kernel_id": "55337"}, {"ref": "antgoldbloom/notebook-312baa0f30ec3562b134", "kernel_id": "72949"}, {"ref": "antgoldbloom/notebook-b66c63b8163b1361b34c", "kernel_id": "74392"}, {"ref": "antgoldbloom/notebook-929a396f1e7ff7ea458e", "kernel_id": "77925"}, {"ref": "antgoldbloom/notebook-8ceb72815c19203196b5", "kernel_id": "77966"}, {"ref": "antgoldbloom/notebook-55f8c96e69b080c0bd53", "kernel_id": "84317"}, {"ref": "antgoldbloom/notebook-f7e401772c78409ffd1f", "kernel_id": "85022"}, {"ref": "antgoldbloom/notebook552981fde9", "kernel_id": "89104"}, {"ref": "antgoldbloom/notebook8a9c083af8", "kernel_id": "89173"}, {"ref": "antgoldbloom/notebookb5c79b58e0", "kernel_id": "89370"}, {"ref": "antgoldbloom/notebooka9c2bb268e", "kernel_id": "92887"}, {"ref": "antgoldbloom/notebook4985dcc40c", "kernel_id": "93201"}, {"ref": "antgoldbloom/notebook659155ef9e", "kernel_id": "96974"}, {"ref": "antgoldbloom/tensorflow-deep-nn-143b2162", "kernel_id": "97502"}, {"ref": "antgoldbloom/notebook132538c368", "kernel_id": "97532"}, {"ref": "antgoldbloom/rf-proximity-forked", "kernel_id": "102287"}, {"ref": "antgoldbloom/notebook597814cc08", "kernel_id": "109701"}, {"ref": "antgoldbloom/notebookc386e98348", "kernel_id": "112281"}, {"ref": "antgoldbloom/notebook1dc6b9c3d7", "kernel_id": "116202"}, {"ref": "antgoldbloom/tensorflow-deep-nn-c2a457c1", "kernel_id": "117922"}, {"ref": "antgoldbloom/example", "kernel_id": "119519"}, {"ref": "antgoldbloom/notebookc9cda3b601", "kernel_id": "120837"}, {"ref": "antgoldbloom/tensorflow-deep-nn-346de6fc", "kernel_id": "126970"}, {"ref": "antgoldbloom/notebook9efd5ba456", "kernel_id": "130833"}, {"ref": "antgoldbloom/tensorflow-deep-nn-294ffa7f", "kernel_id": "131500"}, {"ref": "antgoldbloom/notebooke2414c3170", "kernel_id": "135138"}, {"ref": "antgoldbloom/tensorflow-deep-nn-438e9ee7", "kernel_id": "135140"}, {"ref": "antgoldbloom/notebookc96f845032", "kernel_id": "140713"}, {"ref": "antgoldbloom/tensorflow-deep-nn-3ac5f848", "kernel_id": "142532"}, {"ref": "antgoldbloom/notebook79a0e593fb", "kernel_id": "157755"}, {"ref": "antgoldbloom/notebook28e9b28843", "kernel_id": "162779"}, {"ref": "antgoldbloom/tensorflow-deep-nn-428f685b", "kernel_id": "168716"}, {"ref": "antgoldbloom/notebook4ca6ff4758", "kernel_id": "171606"}, {"ref": "antgoldbloom/notebookc6f3383b2c", "kernel_id": "216912"}, {"ref": "antgoldbloom/script456ac59e1f", "kernel_id": "404352"}, {"ref": "nicokist/numbers-svm1", "kernel_id": "82686"}, {"ref": "benhamner/nnet-submission", "kernel_id": "4843"}, {"ref": "benhamner/julia-default-script-2", "kernel_id": "3104"}, {"ref": "benhamner/t-sne-visualization", "kernel_id": "338"}, {"ref": "benhamner/installed-r-packages", "kernel_id": "14"}, {"ref": "benhamner/example-handwritten-digits", "kernel_id": "15"}, {"ref": "benhamner/pixel-mean-and-variances-by-digit", "kernel_id": "17"}, {"ref": "benhamner/random-forest-benchmark-1", "kernel_id": "21"}, {"ref": "benhamner/running-system-commands-1", "kernel_id": "26"}, {"ref": "benhamner/we-have-imagemagick-installed", "kernel_id": "27"}, {"ref": "benhamner/rf-proximity", "kernel_id": "78"}, {"ref": "benhamner/default-r-script", "kernel_id": "149"}, {"ref": "jeffmoser/tensorflow-softmax-regression-deep-nn", "kernel_id": "29875"}, {"ref": "tafkas/notebook87af449248", "kernel_id": "150697"}, {"ref": "ejlok1/digit-recognizer-in-python-using-cnn", "kernel_id": "171055"}, {"ref": "dchudz/rmarkdown-starter-script-2", "kernel_id": "737"}, {"ref": "dchudz/check-for-signal-wavelets-libraries", "kernel_id": "1095"}, {"ref": "dchudz/rf-proximity", "kernel_id": "2"}, {"ref": "dchudz/simple-deep-mlp-with-keras", "kernel_id": "279"}, {"ref": "jared1/notebook-e4c56d72f6d3e09c4282", "kernel_id": "68334"}, {"ref": "redshift/tensorflow-softmax-regression-deep-nn", "kernel_id": "34556"}, {"ref": "nickclark/notebook-1d63d094a78273487157", "kernel_id": "25364"}, {"ref": "gweissman/starter-script", "kernel_id": "39419"}, {"ref": "afinefellow/notebook-81fb419542138d9eae0c", "kernel_id": "39629"}, {"ref": "afinefellow/play-with-tensorflow", "kernel_id": "39236"}, {"ref": "afinefellow/tensorflow-deep-nn", "kernel_id": "39227"}, {"ref": "afinefellow/tf-test-2", "kernel_id": "39239"}, {"ref": "anlthms/quick-shallow-mlp-with-neon", "kernel_id": "5252"}, {"ref": "dansbecker/deep-learning-from-scratch", "kernel_id": "566363"}, {"ref": "dansbecker/exercise-deep-learning-from-scratch", "kernel_id": "574269"}, {"ref": "dansbecker/dropout-and-strides-for-larger-models", "kernel_id": "620607"}, {"ref": "dansbecker/running-your-first-gan", "kernel_id": "924014"}, {"ref": "dansbecker/conditional-gans", "kernel_id": "924455"}, {"ref": "dansbecker/running-out-of-ram-on-gpu-before-cpu", "kernel_id": "820927"}, {"ref": "dansbecker/exercise-dropout-and-strides-for-larger-models", "kernel_id": "663261"}, {"ref": "rsmith851/keras-cnn-with-explanation", "kernel_id": "166394"}, {"ref": "unmesh/interactive-intro-to-dimensionality-reduction", "kernel_id": "174679"}, {"ref": "whereisravi/mytest", "kernel_id": "30"}, {"ref": "jjmmzz/tensorflow-deep-nn", "kernel_id": "61102"}, {"ref": "jjmmzz/nn-version-1", "kernel_id": "60717"}, {"ref": "skroth/notebook8ad855fe41", "kernel_id": "115455"}, {"ref": "lukasz8000/test1", "kernel_id": "5671"}, {"ref": "dlf3142/tensorflow-deep-nn", "kernel_id": "96061"}, {"ref": "dlf3142/exploratory-attempt-01", "kernel_id": "96073"}, {"ref": "dowdyg1/my-scripts-test", "kernel_id": "216183"}, {"ref": "dowdyg1/mnist-datasets-with-deep-learning-using-keras", "kernel_id": "242747"}, {"ref": "spatial/digit-recognizer-in-python-using-cnn", "kernel_id": "104176"}, {"ref": "d3potf/just-seeing-if-i-can-get-one-to-run", "kernel_id": "6798"}, {"ref": "jprocha/kaggle-rosario-digit-recognizer-sample", "kernel_id": "934300"}, {"ref": "xccds1977/simple-deep-mlp-with-keras", "kernel_id": "18273"}, {"ref": "aluisiolima/notebook6779c0a4ab", "kernel_id": "105693"}, {"ref": "abresler/notebook-95dada47cfe952619e01", "kernel_id": "76377"}, {"ref": "bumshmyak/digits-v1", "kernel_id": "97248"}, {"ref": "bumshmyak/notebookde7e89070c", "kernel_id": "97249"}, {"ref": "n3n77i/bipartite-graph-over-pixels", "kernel_id": "19016"}, {"ref": "n3n77i/basic-rbm", "kernel_id": "103457"}, {"ref": "jeongyoonlee/example-r", "kernel_id": "32"}, {"ref": "redsml/notebook5c2c3d3698", "kernel_id": "100500"}, {"ref": "dskumar/notebook-5c3a7feaa76740e7ff94", "kernel_id": "46558"}, {"ref": "vikramgarg/gettingstartedwithdigitrecognizer", "kernel_id": "16981"}, {"ref": "ritwik/digit-recognizer", "kernel_id": "336811"}, {"ref": "aakashhdeep/knn-from-scratch-in-python-at-97-1", "kernel_id": "97919"}, {"ref": "freerrrrrr/notebookce42f7bac6", "kernel_id": "187500"}, {"ref": "josealberto/example-handwritten-digits", "kernel_id": "12402"}, {"ref": "dariomavec/mnist", "kernel_id": "157972"}, {"ref": "ashwinmenon/test-script", "kernel_id": "47075"}, {"ref": "jftttt/digit-recognizer-in-python-using-cnn", "kernel_id": "25658"}, {"ref": "mesolithic/testbymela", "kernel_id": "243579"}, {"ref": "kherrity/digit-recognizer-in-python-using-cnn", "kernel_id": "50490"}, {"ref": "kherrity/notebook-3efc7f0e4a8f900b1ddd", "kernel_id": "50491"}, {"ref": "kherrity/notebook-30706897ee62fee2f5ee", "kernel_id": "50492"}, {"ref": "kherrity/test-fork", "kernel_id": "50493"}, {"ref": "kherrity/notebook-297b1568e7b5b6a7c412", "kernel_id": "50494"}, {"ref": "kherrity/notebook-aba2ee3460664dc556f7", "kernel_id": "51212"}, {"ref": "kherrity/notebook-fb3cd5a18d5d29c2c469", "kernel_id": "51209"}, {"ref": "kherrity/notebook-189dc3f1e332d57460f0", "kernel_id": "51220"}, {"ref": "kherrity/notebook-9127640ba806aad258c0", "kernel_id": "53922"}, {"ref": "kherrity/notebook-91d38aeca036ad77a02f", "kernel_id": "54127"}, {"ref": "kherrity/notebook-ce34325e454f42ddcaee", "kernel_id": "53111"}, {"ref": "datacanary/random-forest-in-python", "kernel_id": "32151"}, {"ref": "datacanary/tensorflow-softmax-regression-deep-nn", "kernel_id": "29773"}, {"ref": "yangli03/notebookb3a6bd40cc", "kernel_id": "219834"}, {"ref": "motus2/notebook99ec3dc169", "kernel_id": "121369"}, {"ref": "fuhang/notebook-3dced7f657d3ed7ed475", "kernel_id": "48212"}, {"ref": "shibei00/notebook-16c3f084822638ddf1a2", "kernel_id": "51618"}, {"ref": "shibei00/notebook-1a93e62ca4f700f3f63e", "kernel_id": "52015"}, {"ref": "ssemenyuk/random-forest-benchmark", "kernel_id": "19178"}, {"ref": "ssemenyuk/svm-benchmark", "kernel_id": "25799"}, {"ref": "siddharthshrotriya/tflearn-and-tensorflow", "kernel_id": "166321"}, {"ref": "siddharthshrotriya/digit-recognizer-in-python-using-cnn", "kernel_id": "36508"}, {"ref": "lavinei/random-forest-benchmark", "kernel_id": "16657"}, {"ref": "lavinei/mnist-data-exploration", "kernel_id": "17238"}, {"ref": "lavinei/notebook-8c5fbb1c4d6a26fabeff", "kernel_id": "30588"}, {"ref": "dorkette/tensorflow-deep-nn", "kernel_id": "115026"}, {"ref": "tornadozou/mxnet-deep-nn", "kernel_id": "61085"}, {"ref": "tornadozou/notebook-27a606ec4451905ffd63", "kernel_id": "61081"}, {"ref": "tornadozou/notebook-fe51b7bafdc6d67e487d", "kernel_id": "61082"}, {"ref": "jsrawan99/tensorflow-deep-nn", "kernel_id": "108506"}, {"ref": "jsrawan99/tensorflow-deep-nn-23802033", "kernel_id": "108531"}, {"ref": "bladeralien/test-script", "kernel_id": "47758"}, {"ref": "drabovich/tensorflow-deep-nn", "kernel_id": "131721"}, {"ref": "tobikaggle/digit-recognize-20160913v4", "kernel_id": "136514"}, {"ref": "tobikaggle/premier-cnn", "kernel_id": "136652"}, {"ref": "tobikaggle/notebook-ffe18947808a5838c383", "kernel_id": "50336"}, {"ref": "tobikaggle/notebook-86384bc13987667c33df", "kernel_id": "50337"}, {"ref": "tobikaggle/notebook-9a80f931bba2bd1b2013", "kernel_id": "50338"}, {"ref": "tobikaggle/notebook-e2ec2194522ae0608324", "kernel_id": "50342"}, {"ref": "frantap/tensorflow-deep-nn", "kernel_id": "35417"}, {"ref": "xag105/notebook4f5e18e0e5", "kernel_id": "167522"}, {"ref": "ajschumacher/testr", "kernel_id": "716"}, {"ref": "nirajanrk/1-kaggle-digits", "kernel_id": "117282"}, {"ref": "yinsong/notebook-85804393dde8c626130c", "kernel_id": "26279"}, {"ref": "stejas/notebookcd2d3aad1e", "kernel_id": "255695"}, {"ref": "aconsapart/minst", "kernel_id": "16399"}, {"ref": "aconsapart/mydigitrecogniser", "kernel_id": "32445"}, {"ref": "sandesh/ffffffff", "kernel_id": "94888"}, {"ref": "sandesh/cccccc", "kernel_id": "94899"}, {"ref": "sandesh/cccccccc", "kernel_id": "95176"}, {"ref": "sandesh/asdsad", "kernel_id": "95223"}, {"ref": "sandesh/asdasdsadfsadasdf", "kernel_id": "95419"}, {"ref": "sandesh/asdasdasd", "kernel_id": "96220"}, {"ref": "sandesh/ddsadsadasda", "kernel_id": "96831"}, {"ref": "asadahamad/tensorflow-softmax-regression-deep-nn", "kernel_id": "34357"}, {"ref": "aman11dhanpat/mnist-keras", "kernel_id": "99968"}, {"ref": "vganesh46/notebook-c003ee29a81cb8a762b6", "kernel_id": "69773"}, {"ref": "jfgobin/digit-recognizer-keras-tensorflow", "kernel_id": "346796"}, {"ref": "jfgobin/digit-recognizer", "kernel_id": "181612"}, {"ref": "jfgobin/notebook5f244581a1", "kernel_id": "181715"}, {"ref": "jfgobin/digit-recognizer-v1", "kernel_id": "165204"}, {"ref": "jfgobin/recognizing-digits-with-python", "kernel_id": "165485"}, {"ref": "kristofleroux/rf-proximity", "kernel_id": "1101"}, {"ref": "pratik/asdsad", "kernel_id": "164790"}, {"ref": "pratik/notebook-463124c0637506196e44", "kernel_id": "22531"}, {"ref": "mfaherty/notebook-ce203d6a9d3cb58319cf", "kernel_id": "77032"}, {"ref": "slothouber/end-point-distribution", "kernel_id": "42"}, {"ref": "slothouber/keras-cnn-with-explanation", "kernel_id": "135937"}, {"ref": "slothouber/tensorflow-deep-nn", "kernel_id": "133878"}, {"ref": "zhangyang/tensorflow-deep-nn", "kernel_id": "161793"}, {"ref": "zhangyang/digit-recognizer-in-python-using-cnn", "kernel_id": "187962"}, {"ref": "suprabhat/image-augmentation-with-keras-and-output-into-csv", "kernel_id": "112817"}, {"ref": "liwste/simple-deep-mlp-with-keras", "kernel_id": "628"}, {"ref": "greenbeansugar/first-time", "kernel_id": "35117"}, {"ref": "greenbeansugar/notebook-511f54695e7eb685ccec", "kernel_id": "35119"}, {"ref": "ksopla/notebook-54d4ba126aa864353e21", "kernel_id": "44781"}, {"ref": "alexeykudinkin/tf-digitrecogniser", "kernel_id": "53851"}, {"ref": "andrewtrice/notebook-7a7ff1018854450ab01f", "kernel_id": "80711"}, {"ref": "navyajapani/notebook-153e63ff851bd6217fa3", "kernel_id": "44943"}, {"ref": "wadse11/mnist-v00", "kernel_id": "150018"}, {"ref": "panisson/tensorflow-deep-nn", "kernel_id": "44180"}, {"ref": "hsaputra/notebook-31e18eccca5cbd923061", "kernel_id": "52736"}, {"ref": "dingli/digits-recognition-with-cnn-keras", "kernel_id": "945318"}, {"ref": "evelynmitchell/notebook-13c5c196cd87252b2539", "kernel_id": "54930"}, {"ref": "evelynmitchell/notebook-56bae25799f54e047c75", "kernel_id": "54935"}, {"ref": "evelynmitchell/notebook-d7d16bb961edb4fb3dbb", "kernel_id": "54603"}, {"ref": "evelynmitchell/digitrecoginr", "kernel_id": "54604"}, {"ref": "evelynmitchell/listpackagesavailable", "kernel_id": "54610"}, {"ref": "evelynmitchell/example-handwritten-digits", "kernel_id": "54618"}, {"ref": "mimoidochi/notebook6c6ac202ec", "kernel_id": "157149"}, {"ref": "lukeskywalker/tensorflow-softmax-regression-deep-nn", "kernel_id": "31062"}, {"ref": "adambeaton/mnist", "kernel_id": "79732"}, {"ref": "anirudh4444/notebook-6307d28c64af893f51e3", "kernel_id": "40865"}, {"ref": "anirudh4444/notebook-630f5e626831984338d5", "kernel_id": "40813"}, {"ref": "anirudh4444/first-attempt", "kernel_id": "40833"}, {"ref": "jarafi/tensorflow-deep-nn", "kernel_id": "127852"}, {"ref": "pengchengluo/notebook800c556c17", "kernel_id": "89158"}, {"ref": "pengchengluo/digit-recognizer-log", "kernel_id": "89160"}, {"ref": "pengchengluo/notebook08359759e5", "kernel_id": "89161"}, {"ref": "pengchengluo/notebook38d9ff8806", "kernel_id": "89264"}, {"ref": "boradin/digit-recognizer", "kernel_id": "15925"}, {"ref": "stober/testing", "kernel_id": "35948"}, {"ref": "saurabh2086/notebookbbed52a1a1", "kernel_id": "280480"}, {"ref": "saurabh2086/digitrecognizer-svm", "kernel_id": "20440"}, {"ref": "agarwalsneha/simple-random-forest", "kernel_id": "77985"}, {"ref": "agarwalsneha/convoluted-nn", "kernel_id": "79294"}, {"ref": "agarwalsneha/simple-svm", "kernel_id": "79040"}, {"ref": "agarwalsneha/mlp-neural-network", "kernel_id": "78372"}, {"ref": "agarwalsneha/pca-svm", "kernel_id": "81105"}, {"ref": "weiouyang/tensorflow-deep-nn", "kernel_id": "93033"}, {"ref": "mangirdas/tensorflow-deep-nn", "kernel_id": "104895"}, {"ref": "internetoftim/digit-recognizer-in-python-using-cnn", "kernel_id": "124043"}, {"ref": "internetoftim/tensorflow-deep-nn", "kernel_id": "124044"}, {"ref": "farfar26/digit", "kernel_id": "41166"}, {"ref": "ntarcai/notebook-69488796ed6e0dc94ca9", "kernel_id": "27476"}, {"ref": "ankdesh/notebook-c4259502edf02191f002", "kernel_id": "22731"}, {"ref": "miandai/example-handwritten-digits-test05", "kernel_id": "51899"}, {"ref": "miandai/daimian-test1", "kernel_id": "51420"}, {"ref": "miandai/example-handwritten-digits-test04", "kernel_id": "51655"}, {"ref": "miandai/example-handwritten-digits-test", "kernel_id": "51235"}, {"ref": "kyoungrokjang/first", "kernel_id": "44"}, {"ref": "monkeyorman/super-simple-python-rf-0-96228", "kernel_id": "448431"}, {"ref": "monkeyorman/super-simple-python-bayesian", "kernel_id": "458115"}, {"ref": "vinitgupta/notebook-c50e6f283885d921cdde", "kernel_id": "31246"}, {"ref": "gynagy/neural-network-approach", "kernel_id": "193450"}, {"ref": "wouterd1/random-forest-benchmark", "kernel_id": "17239"}, {"ref": "npatwa123/naj123", "kernel_id": "344"}, {"ref": "fcastanedo/mnist-pca-svm-python", "kernel_id": "16495"}, {"ref": "rajatshah/digit-recognizer", "kernel_id": "46683"}, {"ref": "rajatshah/randomforest", "kernel_id": "52152"}, {"ref": "fitzoh/digit-recognizer-with-scikit-learn", "kernel_id": "156619"}, {"ref": "stevenslxie/minimalist-cnn-using-keras", "kernel_id": "442339"}, {"ref": "ha9sdh98/notebook-01a99ef242b86e42389c", "kernel_id": "68809"}, {"ref": "ha9sdh98/notebook-cf0b1ffc8f004b04d494", "kernel_id": "65335"}, {"ref": "ha9sdh98/notebook-15b54799c50909fda6ae", "kernel_id": "65332"}, {"ref": "ha9sdh98/notebook-f949180be0e1fca7df40", "kernel_id": "65312"}, {"ref": "ha9sdh98/notebook-25a7984115f20baa9481", "kernel_id": "65313"}, {"ref": "ha9sdh98/notebook-ea56a1bf500a43166cf3", "kernel_id": "65284"}, {"ref": "ha9sdh98/notebook-2b2d8f9b08e6682472be", "kernel_id": "65337"}, {"ref": "ha9sdh98/notebook-da674b332a0973ec33ae", "kernel_id": "65339"}, {"ref": "surajmishra/digit-recognizer-in-python-using-cnn", "kernel_id": "50113"}, {"ref": "kmader/qbi2017-auto-ml-approach", "kernel_id": "209652"}, {"ref": "kmader/qbi2017-pipeline-object-analysis", "kernel_id": "224017"}, {"ref": "kmader/qbi2017-using-nearest-neighbor-mse", "kernel_id": "223814"}, {"ref": "kmader/qbi2017-nn-single-object-analysis", "kernel_id": "223927"}, {"ref": "kmader/qbi2017-single-object-analysis", "kernel_id": "223013"}, {"ref": "kmader/qbi2017-pipeline-distance-map-analysis", "kernel_id": "227866"}, {"ref": "kmader/qbi2017-introduction-to-contests-mae", "kernel_id": "204498"}, {"ref": "kmader/qbi2017-introduction-to-contests", "kernel_id": "204238"}, {"ref": "kmader/qbi2017-pipeline-distance-map-rf-analysis", "kernel_id": "233943"}, {"ref": "kmader/capsulenet-on-mnist", "kernel_id": "420670"}, {"ref": "kmader/capsulenet-on-fashion-mnist", "kernel_id": "420708"}, {"ref": "kmader/vae-example-on-digits", "kernel_id": "819372"}, {"ref": "kmader/vae-to-detect-anomalies-on-digits", "kernel_id": "819423"}, {"ref": "bigm42/t-sne", "kernel_id": "236479"}, {"ref": "bigm42/digit-recognizer", "kernel_id": "236524"}, {"ref": "tanmaydeshpande/digit-recognizer", "kernel_id": "43098"}, {"ref": "sarvajith/firsttry", "kernel_id": "20108"}, {"ref": "jonclement/tensorflow-softmax-regression-deep-nn", "kernel_id": "29856"}, {"ref": "chetankumarh/cktest", "kernel_id": "11848"}, {"ref": "iamkhader/2d-convolution-network-in-keras-tensorflow", "kernel_id": "258508"}, {"ref": "rminator/keras-in-r", "kernel_id": "458392"}, {"ref": "danyalkhaliq/tensorflow-with-name-scopes", "kernel_id": "247417"}, {"ref": "arvindrajoo/test-forked-neural-network-with-tensorflow", "kernel_id": "237624"}, {"ref": "afrozhussain/tensorflow-softmax-regression-deep-nn", "kernel_id": "29819"}, {"ref": "appmathdoc/digit-recognizer-in-python-using-cnn", "kernel_id": "32377"}, {"ref": "appmathdoc/notebook-2142c403d026cc80b53f", "kernel_id": "50319"}, {"ref": "appmathdoc/testing-it-out", "kernel_id": "50321"}, {"ref": "appmathdoc/myfork", "kernel_id": "50327"}, {"ref": "gprasa7s/tensorflow-deep-nn", "kernel_id": "80582"}, {"ref": "gprasa7s/notebook-1fd114e95b0cea56c935", "kernel_id": "80583"}, {"ref": "jiaxiangwu/notebook-3acfa78f333cccd6b452", "kernel_id": "30547"}, {"ref": "agrawalvikas/image-augmentation-with-keras-and-output-into-csv", "kernel_id": "114495"}, {"ref": "vishayv/random-forest-digit-classifier", "kernel_id": "141852"}, {"ref": "kobakhit/digit-recognizer-in-python-using-cnn", "kernel_id": "23162"}, {"ref": "kobakhit/digital-recognizer-in-r", "kernel_id": "23279"}, {"ref": "kobakhit/tflearn-and-tensorflow", "kernel_id": "52551"}, {"ref": "izgordon/tensorflow-softmax-regression-deep-nn", "kernel_id": "30095"}, {"ref": "izgordon/notebook-ba09d52dfcb26ba0257d", "kernel_id": "30097"}, {"ref": "qsnail/digitreg", "kernel_id": "126186"}, {"ref": "liuyltg/notebook-ab59610e25e65c9fe197", "kernel_id": "34093"}, {"ref": "sramaj/tensorflow-deep-nn", "kernel_id": "110716"}, {"ref": "dmitrypogodin/tensorflow-deep-nn", "kernel_id": "101834"}, {"ref": "dmitrypogodin/tensorflow-deep-nn-75450610", "kernel_id": "103726"}, {"ref": "ibnbatuta/first1", "kernel_id": "68757"}, {"ref": "babinu/digit-recognizer-in-python-using-cnn", "kernel_id": "46209"}, {"ref": "babinu/myfirststab", "kernel_id": "46762"}, {"ref": "kazemi/notebook-edcb0bb888249b55931d", "kernel_id": "61412"}, {"ref": "kazemi/notebook-3d1322103908020da47a", "kernel_id": "61307"}, {"ref": "kazemi/notebook-86eea533beeb6c29e032", "kernel_id": "61342"}, {"ref": "kazemi/notebook-d5936598bc9c0685b80f", "kernel_id": "61200"}, {"ref": "kazemi/notebook-0d1d3368890b06e7346b", "kernel_id": "61202"}, {"ref": "nkhuyu/convolutional-nn-in-python", "kernel_id": "334"}, {"ref": "nkhuyu/tensorflow-softmax-regression-deep-nn", "kernel_id": "29992"}, {"ref": "sinkie/mnist-convolutional-model", "kernel_id": "367047"}, {"ref": "woters/first-try", "kernel_id": "53817"}, {"ref": "ajitbarik/notebookde4eff47f3", "kernel_id": "93808"}, {"ref": "jasontam/notebooka9d95399c2", "kernel_id": "231739"}, {"ref": "company/mnist", "kernel_id": "62915"}, {"ref": "zhuangh/notebook-ba98cd6ba32aa9e3f3c1", "kernel_id": "51736"}, {"ref": "zhuangh/notebook-5b378e425f0d5012042d", "kernel_id": "51548"}, {"ref": "zhuangh/notebook-954cf7091774e59dc5a4", "kernel_id": "50932"}, {"ref": "zhuangh/notebook-e48d1b65c011268cfc81", "kernel_id": "51144"}, {"ref": "zhuangh/tensorflow-deep-nn", "kernel_id": "48855"}, {"ref": "zhuangh/testtest", "kernel_id": "49631"}, {"ref": "zhuangh/notebook-d79a6bc32076a0520336", "kernel_id": "49632"}, {"ref": "zhuangh/notebook-d9d3f9e5716139981788", "kernel_id": "49633"}, {"ref": "zhuangh/notebook-94248e6b68ff32fc7367", "kernel_id": "49634"}, {"ref": "zhuangh/notebook-f05014485b7f92a37d49", "kernel_id": "49581"}, {"ref": "zhuangh/notebook-c5ef68a7fe4908614e51", "kernel_id": "49583"}, {"ref": "zhuangh/notebook-045f31d705acfcf13f09", "kernel_id": "48966"}, {"ref": "zhuangh/notebook-98488cedbbfb15fe7c9a", "kernel_id": "48971"}, {"ref": "benski3030/get-the-digits", "kernel_id": "178332"}, {"ref": "alecradford/airplane-doodle", "kernel_id": "13750"}, {"ref": "ddskyfuyu/tensorflow-deep-nn", "kernel_id": "35346"}, {"ref": "ddskyfuyu/notebook-59c9ab80877bb6febf79", "kernel_id": "35353"}, {"ref": "santiagomota/tensorflow-deep-nn", "kernel_id": "101166"}, {"ref": "gopijey/digit", "kernel_id": "52422"}, {"ref": "ankitrai/tensorflow-deep-nn", "kernel_id": "59864"}, {"ref": "ankitrai/notebook-29627718e1ae4cd4942e", "kernel_id": "53259"}, {"ref": "ankitrai/notebook-5b6ecb9920384cfc1c8b", "kernel_id": "53260"}, {"ref": "kailex/h2o-autoencoder", "kernel_id": "38537"}, {"ref": "tulasi/notebook-6b7d06058cfbfa6f1bde", "kernel_id": "39037"}, {"ref": "tulasi/notebook-136d88ffd8509e6eae64", "kernel_id": "39023"}, {"ref": "tulasi/notebook-38de213aba89cfede13a", "kernel_id": "39024"}, {"ref": "tulasi/notebook-456e135ba4db53b28dd5", "kernel_id": "39054"}, {"ref": "tulasi/notebook-2f9a54d23a47569b7adc", "kernel_id": "39055"}, {"ref": "tulasi/digit-recognizer-in-python-using-cnn", "kernel_id": "39019"}, {"ref": "tulasi/notebook-ccb6d4bc6cf6250d360a", "kernel_id": "51046"}, {"ref": "tulasi/notebook-3e2cdfb4f6d8f7c07b94", "kernel_id": "51020"}, {"ref": "tulasi/notebook-2d8282fb3a58f59e9ec0", "kernel_id": "51021"}, {"ref": "tulasi/notebook-15a30e6ae12826d42b33", "kernel_id": "51022"}, {"ref": "tulasi/notebook-987e6fe3cb567283059b", "kernel_id": "51023"}, {"ref": "tulasi/notebook-5f01e5b97a527483960e", "kernel_id": "51025"}, {"ref": "fredman/deep-neural-network-keras-way", "kernel_id": "249665"}, {"ref": "is03wlei/using-random-forest", "kernel_id": "202857"}, {"ref": "is03wlei/logistic-regression", "kernel_id": "203445"}, {"ref": "is03wlei/mnist-with-cnn-0-99157-score-45fc59e8", "kernel_id": "151455"}, {"ref": "is03wlei/tensorflow-deep-nn", "kernel_id": "151459"}, {"ref": "ritupande/self-tutorial-deep-learning-using-keras", "kernel_id": "703169"}, {"ref": "clairvoyant/tensorflow-deep-nn", "kernel_id": "53555"}, {"ref": "nbarraille/notebookef9de02e56", "kernel_id": "113119"}, {"ref": "miroslavsabo/tensorflow-deep-nn", "kernel_id": "37653"}, {"ref": "miroslavsabo/notebook-ea8571c6ee9809a28dd1", "kernel_id": "37758"}, {"ref": "ssdeep/notebook-bd3028a85424d7b1b2b3", "kernel_id": "24311"}, {"ref": "oselot/notebook-4c440ec2f42052560c7d", "kernel_id": "49881"}, {"ref": "oselot/notebook-d4c0f6313a5d0cdd40ae", "kernel_id": "49882"}, {"ref": "oselot/notebook-19c7cab3dc35255f9337", "kernel_id": "49883"}, {"ref": "raglan/digits-py", "kernel_id": "17984"}, {"ref": "stobiasp/digit-recognizer-in-python-using-cnn", "kernel_id": "37976"}, {"ref": "stobiasp/notebook-a028b160970c3d816cdb", "kernel_id": "37978"}, {"ref": "ryanranson/notebookc5c47590b8", "kernel_id": "165000"}, {"ref": "archins/interactive-intro-to-dimensionality-reduction", "kernel_id": "171079"}, {"ref": "stites/cnn-minst", "kernel_id": "149405"}, {"ref": "benmesch/tensorflow-deep-nn", "kernel_id": "79305"}, {"ref": "fbioki/notebook-9c31a2b2988307d7c033", "kernel_id": "80851"}, {"ref": "fbioki/first-script-test", "kernel_id": "82808"}, {"ref": "fbioki/notebook-573942ae6f19da4d58be", "kernel_id": "44765"}, {"ref": "fbioki/rf-script-test", "kernel_id": "44766"}, {"ref": "fbioki/notebook-664690b4ec1b3133987a", "kernel_id": "44179"}, {"ref": "basilrormose/notebookae3546976a", "kernel_id": "153615"}, {"ref": "abhidesai/notebookfe6a9c0e48", "kernel_id": "122919"}, {"ref": "nicw102168/restricted-boltzmann-machine-rbm-on-mnist", "kernel_id": "502962"}, {"ref": "omkar102378/notebookcf09a48691", "kernel_id": "373824"}, {"ref": "codedoc/notebook-baebe33ad8d4367b39be", "kernel_id": "52522"}, {"ref": "codedoc/digit-recognizer", "kernel_id": "52523"}, {"ref": "guomulian/test-script", "kernel_id": "18316"}, {"ref": "yasugongyou/tensorflow-deep-nn", "kernel_id": "85666"}, {"ref": "simpetre/notebookd0f0565fb4", "kernel_id": "257041"}, {"ref": "jeremyjesse/simple-perceptron-classifier", "kernel_id": "63884"}, {"ref": "dataspin/tensorflow-deep-nn", "kernel_id": "160537"}, {"ref": "chengzhizhao/myscript-testing", "kernel_id": "13547"}, {"ref": "wnsassociates/notebook-83d1b5b8091339e72ed5", "kernel_id": "60405"}, {"ref": "wnsassociates/digitrecognizer", "kernel_id": "60406"}, {"ref": "chriseagle/notebooke13516101b", "kernel_id": "230945"}, {"ref": "jodini/tensorflow-softmax-regression-deep-nn", "kernel_id": "34579"}, {"ref": "databang/mnist-pytorch-simple-non-cnn-example", "kernel_id": "419180"}, {"ref": "herchu/tensorflow-softmax-regression-deep-nn", "kernel_id": "29823"}, {"ref": "herchu/notebook-89a600ef1ba4a2e0afd0", "kernel_id": "29824"}, {"ref": "hooyao/mnist-logistic-regression", "kernel_id": "418043"}, {"ref": "danofer/lasagne-mnist", "kernel_id": "5018"}, {"ref": "leo123/tensorflow-deep-nn", "kernel_id": "39147"}, {"ref": "sagarmeisheri/cnn-using-keras-score-0-98", "kernel_id": "294056"}, {"ref": "mskiba/tflearn-neural-network-for-mnist", "kernel_id": "210619"}, {"ref": "thomeou/notebook3f4e067f95", "kernel_id": "176358"}, {"ref": "prakash1984/convolutional-network-in-lasagne-theano", "kernel_id": "79267"}, {"ref": "prakash1984/notebook-94f581a98b95473ee0e6", "kernel_id": "73555"}, {"ref": "deepakjnath/notebook-899673a6422cf70d4a81", "kernel_id": "37961"}, {"ref": "sudeeps/initial-analysis", "kernel_id": "34378"}, {"ref": "eyalperel/simple-perceptron-classifier", "kernel_id": "68760"}, {"ref": "poweltalwar/neuralnets1", "kernel_id": "4482"}, {"ref": "nixvirus/pcav1", "kernel_id": "11061"}, {"ref": "baogorek/convolutional-neural-nets-with-keras", "kernel_id": "134332"}, {"ref": "baogorek/lasso-regression-with-keras", "kernel_id": "158482"}, {"ref": "baogorek/autoencoder-with-greedy-layer-wise-pretraining", "kernel_id": "155581"}, {"ref": "triskelion/mapping-digits-with-a-t-sne-lens", "kernel_id": "15838"}, {"ref": "triskelion/isomap-all-the-digits-2", "kernel_id": "15975"}, {"ref": "triskelion/some-basic-stats", "kernel_id": "23"}, {"ref": "triskelion/rotate-all-the-features", "kernel_id": "24"}, {"ref": "triskelion/randombananaclassifier", "kernel_id": "29"}, {"ref": "azertl/initialization", "kernel_id": "51964"}, {"ref": "dariomalchiodi/notebook-c0c563e0d7a052086238", "kernel_id": "70995"}, {"ref": "manoja328/notebook-dc5b6b0c42353fcc754d", "kernel_id": "43872"}, {"ref": "manoja328/digit", "kernel_id": "43873"}, {"ref": "manoja328/tensorflow-deep-nn", "kernel_id": "43874"}, {"ref": "manoja328/fork-of-digit", "kernel_id": "172270"}, {"ref": "myloginid/digit-recognizer-in-python-using-cnn", "kernel_id": "36677"}, {"ref": "minben/demo1-1", "kernel_id": "221749"}, {"ref": "vladmalabanan/random-forest-benchmark", "kernel_id": "19148"}, {"ref": "vagmim/deep-learning-keras-mnist", "kernel_id": "299516"}, {"ref": "martinthoma/minst-tensorflow-py", "kernel_id": "27561"}, {"ref": "jjdblast/tensorflow-deep-nn", "kernel_id": "110000"}, {"ref": "lnicalo/introduction-to-cnn-keras", "kernel_id": "400383"}, {"ref": "lnicalo/introduction-to-cnn", "kernel_id": "400506"}, {"ref": "drsimonj/notebooka01c294487", "kernel_id": "173696"}, {"ref": "jakubsvehla/notebooka5c5459834", "kernel_id": "94859"}, {"ref": "jakubsvehla/notebook036e08b343", "kernel_id": "96167"}, {"ref": "smackboyg/digit-recognizer-in-python-using-cnn", "kernel_id": "31378"}, {"ref": "smackboyg/notebook-2daa2defd9ea862c6f4f", "kernel_id": "31383"}, {"ref": "smackboyg/notebook-c9452361548924425588", "kernel_id": "31384"}, {"ref": "onebyzero/demo123", "kernel_id": "18974"}, {"ref": "snacho/handdigit", "kernel_id": "54493"}, {"ref": "fchollet/simple-deep-mlp-with-keras", "kernel_id": "278"}, {"ref": "irruptor/this-is-my-first-notebook", "kernel_id": "163183"}, {"ref": "bhushan23/mnist-with-softmax-tensorflow-tutorial", "kernel_id": "263886"}, {"ref": "bhushan23/notebook0481970410", "kernel_id": "246715"}, {"ref": "michbad/notebookbab700b671", "kernel_id": "145975"}, {"ref": "yaohuizeng/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "6176"}, {"ref": "vikramtiwari/basic-svm", "kernel_id": "271051"}, {"ref": "vikramtiwari/interactive-intro-to-dimensionality-reduction", "kernel_id": "183303"}, {"ref": "yinsenm/tensorflow-deep-nn", "kernel_id": "41351"}, {"ref": "aidangawronski/random-forest-proximity", "kernel_id": "220"}, {"ref": "vikramdutt/tensorflow-deep-nn", "kernel_id": "35024"}, {"ref": "vikramdutt/tensorflow-softmax-regression-deep-nn", "kernel_id": "30855"}, {"ref": "vikramdutt/notebook-7625211219c151551564", "kernel_id": "30857"}, {"ref": "vikramdutt/notebook-a5f9298a9a7d8e2bd5f8", "kernel_id": "30858"}, {"ref": "ktimothy/mainscript-1", "kernel_id": "108079"}, {"ref": "thomalm/notebook-388a3678b075f826f74a", "kernel_id": "30702"}, {"ref": "thomalm/notebook-84909dbb78440fba4de4", "kernel_id": "30703"}, {"ref": "cuttlefish/keras-practice", "kernel_id": "90236"}, {"ref": "cuttlefish/third-try-with-keras", "kernel_id": "90074"}, {"ref": "cuttlefish/second-notebook", "kernel_id": "64010"}, {"ref": "cuttlefish/notebook-1f134dc036420377629a", "kernel_id": "64001"}, {"ref": "cuttlefish/first-notebook-2", "kernel_id": "64002"}, {"ref": "cuttlefish/tensorflow-deep-nn", "kernel_id": "63903"}, {"ref": "cuttlefish/notebook-eb5969a55927236fdc7e", "kernel_id": "29470"}, {"ref": "amsourav/mnist", "kernel_id": "91491"}, {"ref": "yilinw/digit-recognizer-in-python-using-cnn", "kernel_id": "29034"}, {"ref": "aragorn87/test1", "kernel_id": "2620"}, {"ref": "sozykin/mnist-simple-nn-keras", "kernel_id": "173291"}, {"ref": "brandonpelfrey/notebooka566835a4d", "kernel_id": "200906"}, {"ref": "lewuathe/notebookbd3c3e616a", "kernel_id": "95218"}, {"ref": "burningcole/tensorflow-deep-nn", "kernel_id": "80479"}, {"ref": "txtrouble/exploring-digits", "kernel_id": "114702"}, {"ref": "txtrouble/mnist-with-cnn-0-99157-score", "kernel_id": "123145"}, {"ref": "sakares/mnist-recognition-with-tensorflow-experiment", "kernel_id": "101808"}, {"ref": "minhduc191/nb-prediction", "kernel_id": "98716"}, {"ref": "minhduc191/linear-regression", "kernel_id": "98671"}, {"ref": "isaac7/notebook-d9a3e94ec997d83edb27", "kernel_id": "25238"}, {"ref": "isaac7/digital", "kernel_id": "34471"}, {"ref": "isaac7/visualize-mnist", "kernel_id": "95125"}, {"ref": "isaac7/test-mnist", "kernel_id": "77288"}, {"ref": "manuelspierenburg/digits-keras-cnn", "kernel_id": "323215"}, {"ref": "manuelspierenburg/digits-random-forest", "kernel_id": "157770"}, {"ref": "yulunli/scikit-randomforest", "kernel_id": "43447"}, {"ref": "phandat1991/test1", "kernel_id": "110207"}, {"ref": "vpaharia/mnist-with-convnets", "kernel_id": "338998"}, {"ref": "wiseguy/example-handwritten-digits", "kernel_id": "15895"}, {"ref": "wiseguy/tensorflow-deep-nn", "kernel_id": "104139"}, {"ref": "petermaier/testscript", "kernel_id": "17226"}, {"ref": "ramakrishnar/t-sne", "kernel_id": "101622"}, {"ref": "ramakrishnar/tensorflow-deep-nn", "kernel_id": "102311"}, {"ref": "mldude/notebook-9c4692a62da8a1efc370", "kernel_id": "61859"}, {"ref": "mldude/notebook-541ae78a7e0aff59de60", "kernel_id": "61860"}, {"ref": "condereis/tensorflow-model-engineering", "kernel_id": "87980"}, {"ref": "riosvi/tensorflow-deep-nn", "kernel_id": "38479"}, {"ref": "yyaoyu/tensorflow-deep-nn-d924a007", "kernel_id": "129299"}, {"ref": "yyaoyu/tensorflow-deep-nn", "kernel_id": "122547"}, {"ref": "petertsehsun/rf-proximity", "kernel_id": "622"}, {"ref": "zylix666/my-mnist", "kernel_id": "73293"}, {"ref": "zylix666/tensorflow-softmax-regression-deep-nn", "kernel_id": "34688"}, {"ref": "zylix666/notebook-86206a4e002f8fd4b1a0", "kernel_id": "34695"}, {"ref": "kostyaverhun/test-script", "kernel_id": "90617"}, {"ref": "xyz8983/notebook8d7f5da6ca", "kernel_id": "201551"}, {"ref": "xyz8983/notebookc18e6201b2", "kernel_id": "196267"}, {"ref": "xyz8983/pca-2-layer-neural-network-in-python", "kernel_id": "196381"}, {"ref": "tysontrotter/digit-recognizer-tt", "kernel_id": "29882"}, {"ref": "hengsh/tensorflow-deep-nn-631147df", "kernel_id": "100598"}, {"ref": "hengsh/tensorflow-deep-nn-6cfaf050", "kernel_id": "100756"}, {"ref": "timopheym/mnist-play-py", "kernel_id": "22736"}, {"ref": "timopheym/tensorflow-deep-nn", "kernel_id": "38919"}, {"ref": "edwinhe/tensorflow-deep-nn", "kernel_id": "77825"}, {"ref": "edwinhe/digit-recognizer-in-python-using-cnn", "kernel_id": "77821"}, {"ref": "dadacaocao/notebook-c5947102dd836bb01886", "kernel_id": "51069"}, {"ref": "dadacaocao/mainthis", "kernel_id": "51070"}, {"ref": "dadacaocao/tensorflow-deep-nn", "kernel_id": "55384"}, {"ref": "dadacaocao/notebook-69c30598cbe8c75c0a5f", "kernel_id": "55386"}, {"ref": "debaryadutta/test-run", "kernel_id": "100094"}, {"ref": "carlosab/prueba1", "kernel_id": "32249"}, {"ref": "jobenilagan/notebook-4f6942fd4f3e971f17c5", "kernel_id": "27830"}, {"ref": "jobenilagan/digit-recognition-using-caret-and-rf", "kernel_id": "27831"}, {"ref": "jobenilagan/digit-recognizer-using-r-and-nnet", "kernel_id": "27842"}, {"ref": "shilparai/96-accuracy-with-nearest-neighbour", "kernel_id": "37626"}, {"ref": "zhimin/notebook820b106e8d", "kernel_id": "226425"}, {"ref": "christophergaray/test-script", "kernel_id": "66"}, {"ref": "manish03/digitrecognizer-r", "kernel_id": "61766"}, {"ref": "tanayz/notebook1fa1557a22", "kernel_id": "89480"}, {"ref": "mikarlsen/testers", "kernel_id": "21371"}, {"ref": "marianaoliveira/test-py", "kernel_id": "114566"}, {"ref": "kesang/logistic-regression", "kernel_id": "70201"}, {"ref": "kesang/ipython-note-book-test", "kernel_id": "70436"}, {"ref": "kesang/notebook-b34449293528fbe74bb5", "kernel_id": "70437"}, {"ref": "kesang/notebook-6eed592cca201d097ea1", "kernel_id": "70438"}, {"ref": "kesang/notebook-3e7c0b65a978078fe755", "kernel_id": "70439"}, {"ref": "kesang/notebook-03be76241a0f4fc51814", "kernel_id": "70440"}, {"ref": "kesang/notebook-a2f67acc289dff144093", "kernel_id": "70441"}, {"ref": "kesang/notebook-16341dfc2f7605ae6767", "kernel_id": "70433"}, {"ref": "kesang/notebook-ecb83124fa980dfab619", "kernel_id": "70434"}, {"ref": "kesang/testtest", "kernel_id": "70444"}, {"ref": "kesang/digital-recognizor-svm-model", "kernel_id": "71160"}, {"ref": "betterplace/tensorflow-deep-nn", "kernel_id": "138465"}, {"ref": "fernote7/convolutional-nn-in-python-2", "kernel_id": "29583"}, {"ref": "fernote7/notebook-f984df993c2decbf9849", "kernel_id": "29317"}, {"ref": "fernote7/notebook-39ef7b83e88315920fbd", "kernel_id": "29260"}, {"ref": "fernote7/notebook-27bd6357f740e92779b5", "kernel_id": "29261"}, {"ref": "fernote7/notebook-5adde07b5007627f9e4a", "kernel_id": "29232"}, {"ref": "fernote7/notebook-921acefd110a710134cf", "kernel_id": "29234"}, {"ref": "fernote7/notebook-903854ff663e1ed623d1", "kernel_id": "29255"}, {"ref": "fernote7/notebook-fb6c823912060f933e0b", "kernel_id": "29271"}, {"ref": "fernote7/notebook-5ae5c1e76f2f3b7362ae", "kernel_id": "29272"}, {"ref": "fernote7/notebook-095c9861263db551c690", "kernel_id": "29308"}, {"ref": "fernote7/notebook-972534b6d8a9fb899189", "kernel_id": "29309"}, {"ref": "fernote7/notebook-775b47f63b652adb34dc", "kernel_id": "29310"}, {"ref": "fernote7/notebook-1497037269fd29440531", "kernel_id": "29311"}, {"ref": "fernote7/notebook-9efc64a5bb51c266c43a", "kernel_id": "29313"}, {"ref": "fernote7/notebook-25e36661582c57081e3c", "kernel_id": "29315"}, {"ref": "subinoy/mnist-with-keras", "kernel_id": "241009"}, {"ref": "dnuttle/digit-recognizer-in-python", "kernel_id": "620627"}, {"ref": "sflender/notebooke71eef0636", "kernel_id": "138694"}, {"ref": "sflender/comparing-random-forest-pca-and-knn", "kernel_id": "138701"}, {"ref": "breuker/notebook61de7d9991", "kernel_id": "135151"}, {"ref": "nagadomi/nearest-neighbor-search", "kernel_id": "312"}, {"ref": "kishoreb4/kishore-digit-recog", "kernel_id": "196716"}, {"ref": "kathakaliseth/digit-recognizer-in-python-using-cnn", "kernel_id": "75663"}, {"ref": "aljung/train", "kernel_id": "237276"}, {"ref": "georgeingle/knn-from-scratch-in-python-at-97-1", "kernel_id": "89692"}, {"ref": "seanokeefe/initial-run", "kernel_id": "88896"}, {"ref": "seanokeefe/notebook-dc7d6bd410f1f39cba4b", "kernel_id": "81620"}, {"ref": "seanokeefe/digit-recognizer", "kernel_id": "81621"}, {"ref": "seanokeefe/notebook-01ee61f2fa0e74ed7edd", "kernel_id": "81628"}, {"ref": "seanokeefe/notebook-5adfc35a2af64e2e831f", "kernel_id": "81629"}, {"ref": "seanokeefe/notebook-1c01a5538c237741511e", "kernel_id": "81630"}, {"ref": "seanokeefe/digit-recognizer-sokeefe", "kernel_id": "81631"}, {"ref": "seanokeefe/notebook-4db6c9d8ba2b50b14995", "kernel_id": "81617"}, {"ref": "chrisvasquez/tensorflow-deep-nn", "kernel_id": "103362"}, {"ref": "wingsfan/knn-from-scratch-in-python-at-97-1", "kernel_id": "79598"}, {"ref": "wingsfan/notebook-22274801c59a32c5c1c9", "kernel_id": "79914"}, {"ref": "canaan/r-test1", "kernel_id": "49949"}, {"ref": "dfalbel/notebook24372ab02a", "kernel_id": "274473"}, {"ref": "dfalbel/notebook65633c262d", "kernel_id": "274476"}, {"ref": "pannous/tensorflow-softmax-regression-deep-nn", "kernel_id": "33038"}, {"ref": "tagore15/adversarial-mnist-images-on-single-layer-nn", "kernel_id": "341499"}, {"ref": "steves/notebook-657f7b1ce81657c42397", "kernel_id": "28289"}, {"ref": "steves/basic-examination-of-the-data", "kernel_id": "28290"}, {"ref": "steves/notebook-9a591a1824b3007c333a", "kernel_id": "66622"}, {"ref": "steves/basic-mxnet-script-via-caret", "kernel_id": "67358"}, {"ref": "steves/notebook-b3193fc320da044b8ae8", "kernel_id": "67199"}, {"ref": "steves/notebook-1d240ac95e055ce2cfc9", "kernel_id": "67200"}, {"ref": "milankryl/first-script", "kernel_id": "88360"}, {"ref": "potterxu/notebook-bd6d8db4b9a2f086a4fc", "kernel_id": "50129"}, {"ref": "potterxu/digit-recognizer-in-python-using-cnn", "kernel_id": "50168"}, {"ref": "potterxu/notebook-f6696680cdb8cfc3ee02", "kernel_id": "50798"}, {"ref": "potterxu/notebook-12b7b630f87f3e26cddb", "kernel_id": "50803"}, {"ref": "potterxu/mydemo", "kernel_id": "50775"}, {"ref": "potterxu/notebook-38a390aa642f59c49a90", "kernel_id": "50792"}, {"ref": "potterxu/notebook-ba7fd53e8136fc792805", "kernel_id": "51546"}, {"ref": "potterxu/notebook-18fdb31809470ef0aa49", "kernel_id": "50909"}, {"ref": "willjharmer/notebookcc78655685", "kernel_id": "87370"}, {"ref": "miniontv/test-my-script", "kernel_id": "91243"}, {"ref": "alvations/notebook-198210fafe63801def3b", "kernel_id": "77291"}, {"ref": "lctsai/test-kaggle-script-function", "kernel_id": "18217"}, {"ref": "mburger/notebook-0f93831db4812cce4ce4", "kernel_id": "38280"}, {"ref": "mburger/notebook-12ed2ab8fc6cad245a4b", "kernel_id": "38286"}, {"ref": "mburger/freeman-chain-code-second-attempt", "kernel_id": "38754"}, {"ref": "mburger/freeman-chain-code-script", "kernel_id": "38786"}, {"ref": "mburger/first-notebook2", "kernel_id": "38456"}, {"ref": "kmnrstzaiou/notebook-fa1db2d20241ab404402", "kernel_id": "75098"}, {"ref": "kmnrstzaiou/tensorflow-deep-nn", "kernel_id": "75087"}, {"ref": "kmnrstzaiou/notebook-e5864a33881185cd4765", "kernel_id": "75088"}, {"ref": "kmnrstzaiou/notebook-7c5f4811ee977922369c", "kernel_id": "75089"}, {"ref": "kmnrstzaiou/notebook-9ceafe4eafbd43729116", "kernel_id": "75090"}, {"ref": "kmnrstzaiou/notebook-c22b0a1046f8d029eea9", "kernel_id": "75091"}, {"ref": "kmnrstzaiou/aaaaa", "kernel_id": "75092"}, {"ref": "kmnrstzaiou/notebook-5cb18d92c52906e70f09", "kernel_id": "75093"}, {"ref": "kmnrstzaiou/notebook-038cbb6b87eb09fea447", "kernel_id": "75094"}, {"ref": "kmnrstzaiou/notebook-fa6d17168b482f2adfe2", "kernel_id": "75096"}, {"ref": "kocikocev/notebook8719cc5983", "kernel_id": "132490"}, {"ref": "mbp14mtp/notebookd816de5db9", "kernel_id": "209853"}, {"ref": "pablocelayes/tensorflow-deep-nn", "kernel_id": "53940"}, {"ref": "naranirmal/notebook-14cf27131edbb5d87c03", "kernel_id": "70149"}, {"ref": "hemalthakkar/rscript", "kernel_id": "33641"}, {"ref": "thund3r/notebook-6ff2781d9a7351e36f0a", "kernel_id": "22484"}, {"ref": "bogdanmelnik/notebook-c7819b63ef0a7c75f949", "kernel_id": "85043"}, {"ref": "bogdanmelnik/notebook-973d4df8ef15d4e6322f", "kernel_id": "82563"}, {"ref": "thitiporn/digit", "kernel_id": "55053"}, {"ref": "thitiporn/digitr", "kernel_id": "55059"}, {"ref": "thitiporn/digitre", "kernel_id": "55065"}, {"ref": "cleberamaral/script1", "kernel_id": "16404"}, {"ref": "cleberamaral/script2-1", "kernel_id": "16409"}, {"ref": "jeffxgao/testingdigitrecognizer", "kernel_id": "39914"}, {"ref": "tylermey/notebook-9a2e8875e041471cc7eb", "kernel_id": "26407"}, {"ref": "jangedoo/digit-recognizer", "kernel_id": "161811"}, {"ref": "kaggler175537/notebook-d1a3548fb3c4cc781c45", "kernel_id": "62305"}, {"ref": "kaggler175537/fghkhk", "kernel_id": "62306"}, {"ref": "himanshubdave/digit-recognizer-in-python-using-cnn-15e8626e", "kernel_id": "142184"}, {"ref": "himanshubdave/digit-recognizer-in-python-using-cnn", "kernel_id": "142168"}, {"ref": "theofilos/image-augmentation-with-keras-and-output-into-csv", "kernel_id": "103925"}, {"ref": "rshield/notebooka40276175d", "kernel_id": "187729"}, {"ref": "rshield/a-beginner-s-approach-to-classification", "kernel_id": "187733"}, {"ref": "jordivitria/convolutional-nn-in-lasagne", "kernel_id": "343"}, {"ref": "madraziw/mad-test", "kernel_id": "79912"}, {"ref": "aberrante/notes-on-using-cnn-for-digit-recognition", "kernel_id": "493297"}, {"ref": "alexanderuhlig/convolutional-nn-in-python", "kernel_id": "350"}, {"ref": "pappukrjha/svm-pca-beat-benchmark-python", "kernel_id": "21890"}, {"ref": "asafaha/tensorflow-deep-nn", "kernel_id": "86842"}, {"ref": "mikezawitkowski/simply-logistic-regression", "kernel_id": "48649"}, {"ref": "functioncall/just-running", "kernel_id": "363"}, {"ref": "functioncall/digitrecon", "kernel_id": "140"}, {"ref": "misgod/tensorflow-deep-nn", "kernel_id": "90292"}, {"ref": "andreburk/test1-1", "kernel_id": "18475"}, {"ref": "sandman/notebookc4aede337d", "kernel_id": "228908"}, {"ref": "simplebest/notebookce1a4c3a9c", "kernel_id": "98909"}, {"ref": "ljavier/notebook-ed2a7cd49b36106fa48c", "kernel_id": "63693"}, {"ref": "gandavarapu/tensorflow-deep-nn-f459e1", "kernel_id": "190218"}, {"ref": "gandavarapu/tensorflow-deep-nn", "kernel_id": "72201"}, {"ref": "gandavarapu/digit-recognizer-in-python-using-cnn", "kernel_id": "72043"}, {"ref": "rangerwolf/digit-recognizer-in-python-using-cnn", "kernel_id": "54006"}, {"ref": "kunxian/example-handwritten-digits", "kernel_id": "89301"}, {"ref": "kunxian/digit-recognization-using-knn", "kernel_id": "90671"}, {"ref": "nitin90/random-forest-v01", "kernel_id": "129083"}, {"ref": "damaggu/notebook-ea75a50293c4fb202e3c", "kernel_id": "30713"}, {"ref": "maximantonovich/a-simple-2-layer-neural-network-model", "kernel_id": "182485"}, {"ref": "nguyncminhkhoi/testdata", "kernel_id": "52"}, {"ref": "hazarbudak/notebook769a6061fa", "kernel_id": "243729"}, {"ref": "jomisilfe/digit-recognizer-in-r", "kernel_id": "58648"}, {"ref": "krashski/convolutional-neural-network-with-keras", "kernel_id": "65261"}, {"ref": "mohitbha/testingkaggle", "kernel_id": "108162"}, {"ref": "raix852/notebook-90917809e74079d7dbf8", "kernel_id": "50453"}, {"ref": "esihsi/notebooke85aebd780", "kernel_id": "246752"}, {"ref": "marcelojo/multiclass-logistic-regression-test-mnist", "kernel_id": "478942"}, {"ref": "yuntai/notebook-8792b12deda1d7fe71ff", "kernel_id": "23644"}, {"ref": "yuntai/notebook-6fc99ff22e611afb3e7e", "kernel_id": "23645"}, {"ref": "yuntai/notebook-18de1d8cbf182176d02e", "kernel_id": "23641"}, {"ref": "anuphw/digit-recognizer-in-python-using-cnn", "kernel_id": "30958"}, {"ref": "anuphw/random-forest-of-trees-and-accuracy", "kernel_id": "52310"}, {"ref": "anuphw/tensorflow-deep-nn", "kernel_id": "52727"}, {"ref": "youthbupt/notebook-277cd95dc30ad8f85927", "kernel_id": "44553"}, {"ref": "prithvi1994/multilayer-perceptron-for-beginner-simple", "kernel_id": "133943"}, {"ref": "rakira/random-forest-i", "kernel_id": "85014"}, {"ref": "maxanastasio/notebookc4ce0d3986", "kernel_id": "217749"}, {"ref": "benybrahim/benchmark-simplest-neural-network", "kernel_id": "107600"}, {"ref": "benybrahim/multilayer-perceptron-for-beginner-simple", "kernel_id": "107641"}, {"ref": "dalgacik/notebook0bf93d7834", "kernel_id": "124462"}, {"ref": "victoregb/prueba", "kernel_id": "31060"}, {"ref": "andrepaim/notebook-b735e9859e126f9bd0d5", "kernel_id": "34143"}, {"ref": "andrepaim/notebook-9f73e4ff7d98f1525c44", "kernel_id": "34104"}, {"ref": "andrepaim/notebook-623010bd759e28699a76", "kernel_id": "34145"}, {"ref": "huangqi/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "10488"}, {"ref": "sinyaya/notebook-2c31020ba5933cd08407", "kernel_id": "34110"}, {"ref": "sinyaya/notebook-7166d6b7de9791a1c3a8", "kernel_id": "34112"}, {"ref": "sinyaya/tensorflow-softmax-regression-deep-nn", "kernel_id": "34103"}, {"ref": "mayankthp/tensorflow-deep-nn", "kernel_id": "162408"}, {"ref": "gentaiscool/notebook89332bca82", "kernel_id": "91518"}, {"ref": "anishshah/tensorflow-softmax-regression-deep-nn", "kernel_id": "31766"}, {"ref": "anishshah/notebook-7cf77d631e55e84d3e66", "kernel_id": "31779"}, {"ref": "anishshah/notebook-579d844d96ca622422b7", "kernel_id": "31783"}, {"ref": "anishshah/notebook-c6a366168e8fe3436696", "kernel_id": "32080"}, {"ref": "anishshah/tensorflow-test", "kernel_id": "32174"}, {"ref": "anishshah/notebook-16be77a5f26fae7e3b90", "kernel_id": "34506"}, {"ref": "anishshah/notebook-bed9095f5a39652a336b", "kernel_id": "34468"}, {"ref": "anishshah/notebook-f080faf448740d38266a", "kernel_id": "34463"}, {"ref": "anishshah/notebook-5fb161016c7e60068fff", "kernel_id": "35105"}, {"ref": "kabinash/pca-svm1", "kernel_id": "21843"}, {"ref": "perturbation/example", "kernel_id": "16941"}, {"ref": "mbolaris/notebook-3c56e0445ddf2238fba1", "kernel_id": "25464"}, {"ref": "yogihbti/notebook-2517cf8a1827aad10fdf", "kernel_id": "77465"}, {"ref": "topyda/notebook-9d8852b1eaace1e64b12", "kernel_id": "23523"}, {"ref": "topyda/notebook-d58d9710d5e71d972506", "kernel_id": "23524"}, {"ref": "lalitapatel/digit-recognizer-svm-v-rbm-direct-v-statistics", "kernel_id": "173087"}, {"ref": "kristianholsheimer/tensorflow-deep-nn", "kernel_id": "118414"}, {"ref": "eneskemalergin/notebook-715878292228823f4dd6", "kernel_id": "22011"}, {"ref": "spowers/basic-mnist-classification-using-lenet5-with-keras", "kernel_id": "366300"}, {"ref": "ubikon/notebook07815d7875", "kernel_id": "114835"}, {"ref": "angelonardone/testangelo", "kernel_id": "143230"}, {"ref": "rjwebb/digit-recognizer1", "kernel_id": "19869"}, {"ref": "dgarrett/dougg-test", "kernel_id": "22"}, {"ref": "tommycon/digit-rf", "kernel_id": "277185"}, {"ref": "tommycon/digit-recongnizer", "kernel_id": "273965"}, {"ref": "takataktak/notebook43e892ae58", "kernel_id": "235178"}, {"ref": "etherqua/neuralnetwork", "kernel_id": "45541"}, {"ref": "junghoyeom/notebook-bba1de2afba902923d93", "kernel_id": "40070"}, {"ref": "junghoyeom/digit-recognizer", "kernel_id": "40071"}, {"ref": "junghoyeom/notebook-9ade8e17bb1efa2fdbb3", "kernel_id": "40072"}, {"ref": "raviippili/mnist", "kernel_id": "175267"}, {"ref": "waterloong/alpha", "kernel_id": "170881"}, {"ref": "attaullah/first-run", "kernel_id": "37219"}, {"ref": "makravch/notebook-da87a0fd53a154afe40b", "kernel_id": "24198"}, {"ref": "makravch/notebook-790a1686e2f2ab35ac03", "kernel_id": "21978"}, {"ref": "gravity/testing-1", "kernel_id": "8677"}, {"ref": "gravity/pca-knn", "kernel_id": "7953"}, {"ref": "zwkaggle/tensorflow-deep-nn", "kernel_id": "37351"}, {"ref": "liamdamewood/notebook584258aaad", "kernel_id": "105557"}, {"ref": "rodrigodomingos/getting-started-with-tensorflow", "kernel_id": "338293"}, {"ref": "masaaldosai/pandas-multiple-models", "kernel_id": "80765"}, {"ref": "matyot/notebooke7c02384b1", "kernel_id": "271489"}, {"ref": "rmnsingh/tensorflow-deep-nn", "kernel_id": "36307"}, {"ref": "tangy1994/notebook-86745b709fb97b744025", "kernel_id": "32099"}, {"ref": "abevieiramota/analysis", "kernel_id": "67123"}, {"ref": "crazysona/tests", "kernel_id": "201488"}, {"ref": "crazysona/notebook31af401ed9", "kernel_id": "201491"}, {"ref": "crazysona/notebook77a9e37c41", "kernel_id": "202037"}, {"ref": "rebooting/test-script-1", "kernel_id": "1042"}, {"ref": "bernabel/notebook659cf89cb4", "kernel_id": "240338"}, {"ref": "nikhilkaparthi/sample", "kernel_id": "166406"}, {"ref": "edwardckw/tensorflow-deep-nn", "kernel_id": "169042"}, {"ref": "rvsh213233/digit-recognizer-inspired-by-andrew-ng-coursera", "kernel_id": "410047"}, {"ref": "iyassine/notebook-a36fd77389cc29be9e67", "kernel_id": "33988"}, {"ref": "iyassine/notebook-9484aeb216e6094abd5f", "kernel_id": "33991"}, {"ref": "sixtedevergnette/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "6629"}, {"ref": "escoces/digitrecognizer-v1-0", "kernel_id": "980"}, {"ref": "datayo/random-forest-benchmark", "kernel_id": "10134"}, {"ref": "ajaygupta/notebook-c3544cdc2f757170eac5", "kernel_id": "24564"}, {"ref": "ramjikannanakar/notebook-c25ec1d318319bd5e535", "kernel_id": "71882"}, {"ref": "ramjikannanakar/notebook-3d79e6df82b874183fbe", "kernel_id": "71885"}, {"ref": "ramjikannanakar/notebook-cdb9ed0d63a3c6e650a4", "kernel_id": "71887"}, {"ref": "ramjikannanakar/notebook-160c4c7703a794f9e984", "kernel_id": "71889"}, {"ref": "ramjikannanakar/notebook-583263909158cb5830ec", "kernel_id": "71890"}, {"ref": "ramjikannanakar/testing", "kernel_id": "71892"}, {"ref": "ramjikannanakar/notebook-a2f657af4641ba06e163", "kernel_id": "71905"}, {"ref": "nimaar/tensorflow-deep-nn", "kernel_id": "86426"}, {"ref": "doylet/digit-recognizer", "kernel_id": "88714"}, {"ref": "doylet/fork-of-digit-recognizer", "kernel_id": "89180"}, {"ref": "frank1243/tensorflow-softmax-regression-deep-nn", "kernel_id": "34332"}, {"ref": "jgdodson/learning-keras", "kernel_id": "313132"}, {"ref": "krishnakumar24x7/notebook97d5758db3", "kernel_id": "204364"}, {"ref": "kesamet/digit-recognizer-in-python-using-cnn", "kernel_id": "33445"}, {"ref": "kesamet/tensorflow-softmax-regression-deep-nn", "kernel_id": "34433"}, {"ref": "luckyman/notebook-71a34c0afb850f4b5b8d", "kernel_id": "30428"}, {"ref": "runshengsong/ann-example-with-sangwon", "kernel_id": "263793"}, {"ref": "butterkaffee/testing-scripting", "kernel_id": "15354"}, {"ref": "b8eansatz/tensorflow-deep-nn", "kernel_id": "129328"}, {"ref": "b8eansatz/tensorflow-deep-nn-37c8d7e2", "kernel_id": "152398"}, {"ref": "ozagordi/notebook-62f6c149514dbcbfc744", "kernel_id": "60054"}, {"ref": "momentaj/mnist", "kernel_id": "114513"}, {"ref": "momentaj/notebook92d87abf1a", "kernel_id": "114514"}, {"ref": "momentaj/notebook1485db0558", "kernel_id": "127144"}, {"ref": "momentaj/notebook025df42c7b", "kernel_id": "127219"}, {"ref": "momentaj/temp-to-be-deleted-later", "kernel_id": "129845"}, {"ref": "momentaj/using-deepnet-in-mnist", "kernel_id": "117301"}, {"ref": "momentaj/notebookfa1bf5c9a3", "kernel_id": "117303"}, {"ref": "momentaj/nmist-digit-recognizer", "kernel_id": "79856"}, {"ref": "momentaj/tensorflow-1-layer-nn-softmax", "kernel_id": "157602"}, {"ref": "momentaj/1-layer-neural-network", "kernel_id": "157173"}, {"ref": "ed1229/tensorflow-deep-nn", "kernel_id": "84466"}, {"ref": "vsmolyakov/lenet-cnn", "kernel_id": "131541"}, {"ref": "kraj15/notebook-a5945afa1d5966feedd2", "kernel_id": "37979"}, {"ref": "kraj15/notebook-74d902c14686be78768e", "kernel_id": "37980"}, {"ref": "kraj15/notebook-4aba1885656bbdd5bf6a", "kernel_id": "37981"}, {"ref": "kraj15/digit-recognizer-in-python-using-cnn", "kernel_id": "37970"}, {"ref": "kraj15/cnn-digit-recognizer", "kernel_id": "37972"}, {"ref": "kraj15/notebook-98f65d7a9b4670f51c18", "kernel_id": "37973"}, {"ref": "dolik87/mnist-tutorial", "kernel_id": "118761"}, {"ref": "michales/digit-recognizer-in-python-using-cnn", "kernel_id": "254118"}, {"ref": "apatti/notebookd5b6f2a0f0", "kernel_id": "168984"}, {"ref": "thebdm/notebook-e846d4804fe0b31252d4", "kernel_id": "76096"}, {"ref": "jogoma12/notebook2a007228a4", "kernel_id": "177468"}, {"ref": "msundar/notebook-91b3461395b6e7b3a4ec", "kernel_id": "35613"}, {"ref": "jabryth/notebook-177132639aa0991c677b", "kernel_id": "28538"}, {"ref": "shokunin/notebook19650bce9f", "kernel_id": "204505"}, {"ref": "charlenehu/drscript1", "kernel_id": "26322"}, {"ref": "lvraikkonen/tensorflow-softmax-regression-deep-nn", "kernel_id": "34729"}, {"ref": "abhijithasok/sample", "kernel_id": "5094"}, {"ref": "codefarmer/digit-recognizer-in-python-using-cnn", "kernel_id": "27906"}, {"ref": "nheskia/digits", "kernel_id": "32997"}, {"ref": "redroy44/notebook-6d15ebb22abd09f654ef", "kernel_id": "85265"}, {"ref": "redroy44/digit-recognizer-in-python-using-cnn", "kernel_id": "85918"}, {"ref": "pbhatt/notebookd439d27fd9", "kernel_id": "203819"}, {"ref": "kensei/notebook-47fb5b5b18ded6e9981a", "kernel_id": "76923"}, {"ref": "kensei/notebook-6f87a5b93bcd0c84548c", "kernel_id": "76860"}, {"ref": "kensei/test-notebook", "kernel_id": "76862"}, {"ref": "kensei/mnist", "kernel_id": "98520"}, {"ref": "kensei/yet-another-scratchpad", "kernel_id": "98797"}, {"ref": "spattigilli/notebook-e70e807468c7c5074eca", "kernel_id": "27048"}, {"ref": "spattigilli/test-version", "kernel_id": "27050"}, {"ref": "spattigilli/check", "kernel_id": "27051"}, {"ref": "spattigilli/notebook-60f0c5dce5ec7e0f54bd", "kernel_id": "27054"}, {"ref": "spattigilli/notebook-d2d36eb5af3e1ac0f7f2", "kernel_id": "27055"}, {"ref": "spattigilli/notebook-690055261459855cb4e2", "kernel_id": "27056"}, {"ref": "spattigilli/notebook-fbe01e5bebd08a8c3ac2", "kernel_id": "27057"}, {"ref": "spattigilli/notebook-970c8aa0e936adbd54d7", "kernel_id": "27058"}, {"ref": "tracholar/notebook3e8dbd9174", "kernel_id": "90770"}, {"ref": "manoharswamynathan/starter-script-keras-tf", "kernel_id": "349311"}, {"ref": "manoharswamynathan/transfer-learning-with-keras-tf", "kernel_id": "349225"}, {"ref": "samaritan/test-1", "kernel_id": "137488"}, {"ref": "toddler/notebook59bfa52d55", "kernel_id": "535456"}, {"ref": "lokeshvarma/digit-recognizer-with-scikit-learn", "kernel_id": "156653"}, {"ref": "foolosopher/first-script-ever", "kernel_id": "53114"}, {"ref": "goldendomer/firsttest", "kernel_id": "56286"}, {"ref": "purnima/test-1", "kernel_id": "7321"}, {"ref": "xiaoying/tensorflow-deep-nn", "kernel_id": "52201"}, {"ref": "kogilvie/notebook-33b06dfef98941fc6a69", "kernel_id": "27364"}, {"ref": "kogilvie/simple-perceptron-classifier", "kernel_id": "27369"}, {"ref": "kogilvie/notebook-e369dd2f396c06e6a9ca", "kernel_id": "27384"}, {"ref": "kogilvie/notebook-e9eca3c7380455062b93", "kernel_id": "25627"}, {"ref": "kogilvie/notebook-7e3f6fc568a5362d4fd2", "kernel_id": "25584"}, {"ref": "kogilvie/notebook-d77da66d63cb3eced48c", "kernel_id": "25571"}, {"ref": "kogilvie/in-progress-naive-bayes-classifier", "kernel_id": "30586"}, {"ref": "kogilvie/notebook-6b0e4699d75b343fc990", "kernel_id": "30584"}, {"ref": "kogilvie/notebook-130e835255c48ccba7b3", "kernel_id": "27546"}, {"ref": "lokeshbt/notebook-aa0c59c66a5feb8ff906", "kernel_id": "39922"}, {"ref": "sunnmy/test1", "kernel_id": "1008"}, {"ref": "anaskad/convolutional-neural-network-solution-tensorflow", "kernel_id": "322965"}, {"ref": "xueluo/tests", "kernel_id": "26495"}, {"ref": "nareshbabral/notebookcc32bb5b6b", "kernel_id": "282960"}, {"ref": "alizaa/pca-svm1", "kernel_id": "19492"}, {"ref": "tarochen/notebook-1d6e22d4adb188da03b3", "kernel_id": "25370"}, {"ref": "azure31/notebook-2cd2313dd3028b9467ab", "kernel_id": "63975"}, {"ref": "azure31/notebook-4de61cbba54395f1290b", "kernel_id": "63937"}, {"ref": "azure31/mnist", "kernel_id": "63938"}, {"ref": "azure31/notebook-1117a4d48d9097009586", "kernel_id": "63943"}, {"ref": "pratik1390/notebookd2388f94a0", "kernel_id": "155269"}, {"ref": "pratik1390/digitrecognizer", "kernel_id": "155270"}, {"ref": "dougian/tensorflow-deep-nn", "kernel_id": "75547"}, {"ref": "dougian/notebook-dbcd4a18e858c8f3bdb1", "kernel_id": "75548"}, {"ref": "dougian/notebook-e110932a69f04bf29ba8", "kernel_id": "75549"}, {"ref": "dougian/notebook-bfe2cebceca4777d82db", "kernel_id": "75551"}, {"ref": "dougian/notebook-51741a304325bda2bc5a", "kernel_id": "75552"}, {"ref": "naffyy/digitrecognizer-cnn-keras", "kernel_id": "830037"}, {"ref": "dusenberrymw/tensorflow-deep-nn", "kernel_id": "88623"}, {"ref": "shamshad/tensorflow-deep-nn", "kernel_id": "37747"}, {"ref": "karande/test-digit-setup", "kernel_id": "10997"}, {"ref": "rebelaceantilles/notebook-9cc5c5d4944f7e68d2d3", "kernel_id": "31379"}, {"ref": "rebelaceantilles/firstrscript", "kernel_id": "31380"}, {"ref": "melnyk/notebook-3a609e955b7d1523b54e", "kernel_id": "32228"}, {"ref": "melnyk/notebook-b9480f75558de7c2012c", "kernel_id": "32222"}, {"ref": "leonardhuang/neural-network-approach", "kernel_id": "194049"}, {"ref": "ethannguyen/notebook-51bd35708732c0eced41", "kernel_id": "67926"}, {"ref": "ethannguyen/first-script", "kernel_id": "61442"}, {"ref": "ethannguyen/notebook-24d5e707592ad4b81452", "kernel_id": "61614"}, {"ref": "prakharagarwal2511/notebook2fd8c31bac", "kernel_id": "106999"}, {"ref": "shuvayan/deep-learning-using-h2o-in-r", "kernel_id": "31019"}, {"ref": "zeebrah/boomdt", "kernel_id": "814"}, {"ref": "vishnu777/notebook-f1616ab9764b4227580e", "kernel_id": "35459"}, {"ref": "dmanchon/testscripts", "kernel_id": "18340"}, {"ref": "dmanchon/tensorflow-deep-nn", "kernel_id": "41578"}, {"ref": "eliross/test-v1", "kernel_id": "8611"}, {"ref": "stdragiev1/notebook-eaea9f81c1e4e8407b6e", "kernel_id": "81215"}, {"ref": "stdragiev1/notebook-f59b9b6c48c3513103f0", "kernel_id": "81216"}, {"ref": "stdragiev1/iushdisudh", "kernel_id": "81217"}, {"ref": "elephantum/tensorflow-deep-nn", "kernel_id": "90614"}, {"ref": "kfeng123/notebook-01355bae3f14f9f61a2c", "kernel_id": "44828"}, {"ref": "mohamedhammad89/notebook-4a3ed4ba650476e6a4f8", "kernel_id": "72518"}, {"ref": "mohamedhammad89/notebook-9cf4b1c235eec43ae86c", "kernel_id": "72522"}, {"ref": "khazamov/test777", "kernel_id": "4505"}, {"ref": "slaborde/neural-networks", "kernel_id": "118892"}, {"ref": "slaborde/notebook8e6ba53dbb", "kernel_id": "119084"}, {"ref": "infinitemonkeybelief/tensorflow-deep-nn", "kernel_id": "117812"}, {"ref": "franckjay/easy-peasy-lemon-squeezy", "kernel_id": "113337"}, {"ref": "franckjay/nn-test", "kernel_id": "119504"}, {"ref": "franckjay/forked", "kernel_id": "119499"}, {"ref": "franckjay/a-tensorflow-of-a-problem", "kernel_id": "229620"}, {"ref": "bauser/notebook-cb30c38b7750d7640b67", "kernel_id": "26079"}, {"ref": "lunaticmarsupial/tensorflow-deep-nn", "kernel_id": "89637"}, {"ref": "rlmp0000/tensorflow-deep-nn", "kernel_id": "64671"}, {"ref": "scirpus/data-reduction-by-entropy", "kernel_id": "42905"}, {"ref": "scirpus/gp-clustering-in-r", "kernel_id": "589694"}, {"ref": "scirpus/genetic-programming-7", "kernel_id": "226763"}, {"ref": "scirpus/gp-fun", "kernel_id": "169427"}, {"ref": "scirpus/data-reduction", "kernel_id": "169295"}, {"ref": "surahli/notebook-34117ad3d1d5884b7a9f", "kernel_id": "21117"}, {"ref": "kotobot/my-favorite-test-script-mf", "kernel_id": "38849"}, {"ref": "itachiuchiha1729/notebook-67b0e9eb48059c6d98b1", "kernel_id": "47071"}, {"ref": "shravanumn/tensorflow-cnn-lb-0-98929", "kernel_id": "183981"}, {"ref": "chihchung/yuptest", "kernel_id": "574"}, {"ref": "chihchung/notebookc5e081600d", "kernel_id": "244325"}, {"ref": "roseberryv/nn-solution-using-keras", "kernel_id": "975963"}, {"ref": "benxu01/notebook-7aa0a0f89dccc7594dde", "kernel_id": "37274"}, {"ref": "benxu01/notebook-86c9fe213022b69bb73b", "kernel_id": "37275"}, {"ref": "benxu01/notebook-df25b1c9db703458ef45", "kernel_id": "37276"}, {"ref": "sophieb/lenet-example-from-pyimagesearch-com", "kernel_id": "655748"}, {"ref": "vamshiindla/notebook52b1764de6", "kernel_id": "214919"}, {"ref": "vamshiindla/random-forest-with-trimmed-features", "kernel_id": "16393"}, {"ref": "burakonal89/tensorflow-deep-nn", "kernel_id": "130423"}, {"ref": "fredric/recognition-py", "kernel_id": "24946"}, {"ref": "srijansk/notebook1", "kernel_id": "280243"}, {"ref": "hideki1234/neural-network", "kernel_id": "7606"}, {"ref": "hideki1234/randomforest-of-tree-and-accuracy", "kernel_id": "10125"}, {"ref": "jdanielnd/pca-knn", "kernel_id": "19657"}, {"ref": "speedoheck/notebook21d93e6899", "kernel_id": "190552"}, {"ref": "thiagomatos/tensorflow-deep-nn", "kernel_id": "181535"}, {"ref": "ceyarzam/notebookfd1123644d", "kernel_id": "218896"}, {"ref": "ceyarzam/sssss", "kernel_id": "218945"}, {"ref": "neheckman/trying-the-example", "kernel_id": "6861"}, {"ref": "htplex/notebook22fd0aa5b5", "kernel_id": "247481"}, {"ref": "codebird/my-first-kernel", "kernel_id": "366878"}, {"ref": "codebird/digit-recognizer-nn-with-tensorflow", "kernel_id": "412399"}, {"ref": "thilinamx/notebook-28a86574ca12158bf1f5", "kernel_id": "37746"}, {"ref": "thilinamx/testsc", "kernel_id": "37740"}, {"ref": "categorytheory/tensorflow-deep-nn", "kernel_id": "40346"}, {"ref": "winsxx/pca-knn-with-r", "kernel_id": "8427"}, {"ref": "winsxx/random-forest-with-extra-features", "kernel_id": "6951"}, {"ref": "gabrielsqsf/starting-with-digitrec", "kernel_id": "17082"}, {"ref": "shudima/randomforest-with-scikit-learn", "kernel_id": "71235"}, {"ref": "zthomas/digit-recognizer-in-r", "kernel_id": "25381"}, {"ref": "darshansorted/multiclass-svm-with-artificial-training-samples", "kernel_id": "114439"}, {"ref": "sanymathew/notebook8b3f2181e2", "kernel_id": "104607"}, {"ref": "danielzuegner/firstattempt", "kernel_id": "8071"}, {"ref": "pawnty/notebookd1b27e2736", "kernel_id": "208973"}, {"ref": "ybenoit/tensorflow-deep-nn", "kernel_id": "107014"}, {"ref": "josephandrewrusso/digit-recognizer-in-python-using-cnn", "kernel_id": "37930"}, {"ref": "josephandrewrusso/notebook-483a2b6cb76a27670490", "kernel_id": "37932"}, {"ref": "josephandrewrusso/notebook-a086ba29638324acb7d5", "kernel_id": "37933"}, {"ref": "manas0712/notebook6539b19a87", "kernel_id": "235589"}, {"ref": "cathyxlyl/notebook937bad1521", "kernel_id": "242794"}, {"ref": "alexblack2202/notebook-dc16eca44933ccc03cf0", "kernel_id": "73561"}, {"ref": "alexblack2202/notebook-fc06d640a3b477ea7d51", "kernel_id": "73554"}, {"ref": "alexblack2202/notebook-bc0c98bb1d16d427a4d8", "kernel_id": "73556"}, {"ref": "alexblack2202/notebook-4d28e8abbe24370f7465", "kernel_id": "73557"}, {"ref": "alexblack2202/notebook-749af53f1050f0f49cf8", "kernel_id": "73559"}, {"ref": "alexblack2202/tensorflow-deep-nn", "kernel_id": "73549"}, {"ref": "lkosma/tensorflow-softmax-regression-deep-nn", "kernel_id": "30879"}, {"ref": "lkosma/tensorflow-deep-nn", "kernel_id": "36385"}, {"ref": "ivanfoong/randomforestdigits", "kernel_id": "17274"}, {"ref": "elusivedelusive/simple-deep-mlp-with-keras", "kernel_id": "349175"}, {"ref": "zhenghuanxin/cuda-cnn", "kernel_id": "179719"}, {"ref": "akshaysngupta/digiter", "kernel_id": "93144"}, {"ref": "stamate/notebook3752fb848e", "kernel_id": "101976"}, {"ref": "stamate/city-deep-learning-with-keras", "kernel_id": "461967"}, {"ref": "phildeutsch/digits-cnn", "kernel_id": "190802"}, {"ref": "gretja/notebook-a2263e6a0217f1cf8faf", "kernel_id": "76913"}, {"ref": "gretja/notebook-4ebf50c5fc5371855978", "kernel_id": "76914"}, {"ref": "gretja/notebook-89a75b28876739fe8fc3", "kernel_id": "76916"}, {"ref": "agerrr/notebook-63424b2689fa5143cfea", "kernel_id": "32923"}, {"ref": "agerrr/intro-to-rf", "kernel_id": "32924"}, {"ref": "ykg2992/keras-cnn-with-explanation", "kernel_id": "194776"}, {"ref": "elmehdi/convolutional-nn-in-python", "kernel_id": "4526"}, {"ref": "alexbra/svc-and-pca-r", "kernel_id": "165"}, {"ref": "alexbra/svm-with-pca", "kernel_id": "163"}, {"ref": "davidljung/tensorflow-softmax-regression-deep-nn", "kernel_id": "34024"}, {"ref": "davidljung/notebook-82d26a436bd8811e2c8e", "kernel_id": "34025"}, {"ref": "davidljung/notebook-30690e5727a147a384fa", "kernel_id": "34026"}, {"ref": "shuhei/simple-starter-by-keras", "kernel_id": "322417"}, {"ref": "hvgdfx/notebook9aa42d80f4", "kernel_id": "264901"}, {"ref": "hvgdfx/notebook5a3e71070d", "kernel_id": "264903"}, {"ref": "kartheekpnsn/keras-way-to-solve-mnist", "kernel_id": "749996"}, {"ref": "darkphenix/digit-recognizer-progressive-logistic", "kernel_id": "24224"}, {"ref": "fandetwa/notebook-af580453858e57741b70", "kernel_id": "32666"}, {"ref": "evelynstamey/digits-xgboost-with-96-4-accuracy", "kernel_id": "69458"}, {"ref": "cherrymao/digitrecog", "kernel_id": "15500"}, {"ref": "nikitasingh/notebook-8f4d9a8180196cdfe9e5", "kernel_id": "30913"}, {"ref": "venkatesh01/notebook-4a5474ce1114bbd152cf", "kernel_id": "25737"}, {"ref": "venkatesh01/digit-recognizer-in-python-using-cnn", "kernel_id": "25714"}, {"ref": "analyticguru/digit-recognition", "kernel_id": "18125"}, {"ref": "gmizzi/tensorflow-deep-nn", "kernel_id": "150630"}, {"ref": "markcooper/test-script-0-01", "kernel_id": "20343"}, {"ref": "migueak/random-forest-benchmark", "kernel_id": "7726"}, {"ref": "kanabo/tensorflow-deep-nn", "kernel_id": "160130"}, {"ref": "kanabo/notebook-52a24d0765304b1e0280", "kernel_id": "46260"}, {"ref": "alexcaron/notebook-a47e8154ee02c52a3d36", "kernel_id": "76706"}, {"ref": "alexcaron/notebook-926f9fdd95842f8c23c5", "kernel_id": "76712"}, {"ref": "alexcaron/condensing-the-pixel-data", "kernel_id": "76713"}, {"ref": "alexcaron/notebook-dc37104ab73bbaa5263a", "kernel_id": "76627"}, {"ref": "alexcaron/notebook-edd37745736d2ef9f476", "kernel_id": "76631"}, {"ref": "alexcaron/initial-decision-tree-exploration", "kernel_id": "76619"}, {"ref": "alexcaron/notebook-17859bbd66a200c607ef", "kernel_id": "76658"}, {"ref": "maverickontheroad/testscript-testing", "kernel_id": "38621"}, {"ref": "peterpeterpan/first-run", "kernel_id": "70"}, {"ref": "bob0the0mighty/notebook-eeddb7d5f5a2e7c5178e", "kernel_id": "56697"}, {"ref": "bob0the0mighty/notebook-659fe1d69ee8f2024326", "kernel_id": "56701"}, {"ref": "bob0the0mighty/notebook-2ecc71b45f3bc768d225", "kernel_id": "62648"}, {"ref": "bob0the0mighty/notebook-092c6b60fb63e200e186", "kernel_id": "65352"}, {"ref": "bob0the0mighty/notebook-86effa14d6f40b86d64a", "kernel_id": "64795"}, {"ref": "bob0the0mighty/notebook-3e234d1c420dfd7d4703", "kernel_id": "67299"}, {"ref": "samppan/notebook19b133b041", "kernel_id": "165455"}, {"ref": "tigerneil/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "6041"}, {"ref": "arnoudcommandeur/test1", "kernel_id": "5090"}, {"ref": "ezhilvelme/digit-reco", "kernel_id": "171778"}, {"ref": "ezhilvelme/test-digit-reco", "kernel_id": "174868"}, {"ref": "chapagain/digit-recognizer-beginner-s-guide-mlp-cnn-keras", "kernel_id": "360830"}, {"ref": "dyanamites/notebooka1a60ebacb", "kernel_id": "227806"}, {"ref": "denniskaggle/printing-out-predictions", "kernel_id": "8696"}, {"ref": "akhileshsk/mnist-tensorflow", "kernel_id": "136393"}, {"ref": "akhileshsk/notebook09b488abbb", "kernel_id": "135743"}, {"ref": "vmueller/tensorflow-deep-nn", "kernel_id": "56176"}, {"ref": "imestar712/example", "kernel_id": "332"}, {"ref": "fertueros/mnist", "kernel_id": "301398"}, {"ref": "raghavendra990/notebook-847b3f8075cc98db6a9f", "kernel_id": "46637"}, {"ref": "raghavendra990/start-script", "kernel_id": "46638"}, {"ref": "kumaresanmanickavelu/minst-with-keras", "kernel_id": "691251"}, {"ref": "shypila/notebooka56fa9defd", "kernel_id": "100358"}, {"ref": "shypila/notebook049d2d34dd", "kernel_id": "109548"}, {"ref": "shypila/notebookd4803960fa", "kernel_id": "106795"}, {"ref": "aaadel/notebook8a1d5315ca", "kernel_id": "222150"}, {"ref": "raghuramdr/tensorflow-deep-nn", "kernel_id": "193764"}, {"ref": "sadhi009/notebookc3a3310ba8", "kernel_id": "87949"}, {"ref": "sadhi009/notebooka7ceeb4f86", "kernel_id": "87950"}, {"ref": "victormanuelpelaez/notebook-151ebc4c0f390242fe26", "kernel_id": "57957"}, {"ref": "victormanuelpelaez/notebook-9bbd46f98075f91b3d03", "kernel_id": "57947"}, {"ref": "victormanuelpelaez/theano-testing1", "kernel_id": "57915"}, {"ref": "victormanuelpelaez/theano-lasagne-test", "kernel_id": "57916"}, {"ref": "victormanuelpelaez/tensorflow-softmax-regression-deep-nn", "kernel_id": "29818"}, {"ref": "dnth90/tensorflow-deep-nn", "kernel_id": "80908"}, {"ref": "samarthagrawal/notebook-8700140947b47b4d5114", "kernel_id": "24872"}, {"ref": "chrisli/notebook-83fdd7a2b6236963ecd7", "kernel_id": "72449"}, {"ref": "kambarakun/dataset-load-speed-csv-vs-npy", "kernel_id": "354028"}, {"ref": "liujdream/test-script", "kernel_id": "76348"}, {"ref": "liujdream/test-script-1", "kernel_id": "76349"}, {"ref": "dangro/notebook-ead773824a4ad041575a", "kernel_id": "55296"}, {"ref": "lutao20051495/random-forest-benchmark", "kernel_id": "33376"}, {"ref": "lutao20051495/notebook-0cde4d575fcf9f29b7e0", "kernel_id": "35309"}, {"ref": "justfor/playing-with-pima-indian-heritage-data", "kernel_id": "88614"}, {"ref": "markoorescanin/notebook-a25e7e02ac375add19f3", "kernel_id": "35748"}, {"ref": "markoorescanin/test-minst", "kernel_id": "34349"}, {"ref": "qianbowang/tests", "kernel_id": "17379"}, {"ref": "criticalmaz/digit-recon", "kernel_id": "39708"}, {"ref": "criticalmaz/notebook-6597d18aac408373a317", "kernel_id": "39704"}, {"ref": "criticalmaz/mymist", "kernel_id": "76608"}, {"ref": "hmboxwala/trying-nnet", "kernel_id": "60"}, {"ref": "prohacker/digit-recognizer", "kernel_id": "24855"}, {"ref": "saravrajavelu/dr-trial", "kernel_id": "53530"}, {"ref": "poonaml/deep-neural-network-keras-way", "kernel_id": "167936"}, {"ref": "oshynsong/digit-recognizer", "kernel_id": "17836"}, {"ref": "zizhazhu/notebook-cb3001ef4c9966ce0ace", "kernel_id": "82084"}, {"ref": "darkredhorse/digit-recognizer-ann-01", "kernel_id": "333524"}, {"ref": "jeremynixon/tensorflow-deep-nn", "kernel_id": "121268"}, {"ref": "rmsgrk/tensorflow-deep-nn", "kernel_id": "74415"}, {"ref": "sanghan/tensorflow-deep-nn", "kernel_id": "81200"}, {"ref": "cloudfork/test0", "kernel_id": "15559"}, {"ref": "yayson/notebookb7ee3f4436", "kernel_id": "134144"}, {"ref": "yayson/testing", "kernel_id": "133776"}, {"ref": "hwilliams/scripts-test", "kernel_id": "37218"}, {"ref": "interesting/xg-boost-script", "kernel_id": "5533"}, {"ref": "peggybu/digits", "kernel_id": "36132"}, {"ref": "peggybu/neighbor", "kernel_id": "36323"}, {"ref": "iamyoda/random-forest", "kernel_id": "88987"}, {"ref": "iamyoda/pca-sklearn-testing", "kernel_id": "88991"}, {"ref": "pamdirac/keras-nn-trained-with-transformed-dataset", "kernel_id": "167238"}, {"ref": "venkyb/mnist-lsq-minimisation", "kernel_id": "271463"}, {"ref": "murphy89/cnn-test", "kernel_id": "102449"}, {"ref": "rcolomina/random-forest-digits-recognizer", "kernel_id": "29132"}, {"ref": "dieman20071992/digit-recognizer-in-python-using-cnn", "kernel_id": "33033"}, {"ref": "milian/notebook7537a1cacc", "kernel_id": "117412"}, {"ref": "milian/keras-mnist-v0-1", "kernel_id": "118495"}, {"ref": "abhisheknsit/logistic-regression", "kernel_id": "91155"}, {"ref": "abhisheknsit/tensorflow-deep-nn", "kernel_id": "91513"}, {"ref": "abhisheknsit/tensorflow-deep-nn-7ee606b3", "kernel_id": "91555"}, {"ref": "kathir/testing", "kernel_id": "75481"}, {"ref": "beljul/digit-recognizer", "kernel_id": "96231"}, {"ref": "tequiller/a-simple-keras-model-1", "kernel_id": "203137"}, {"ref": "tequiller/a-simple-keras-model-2", "kernel_id": "201091"}, {"ref": "nirumand/digitrecognizer-ann-1hl", "kernel_id": "55946"}, {"ref": "nirumand/notebook-f98054691b7c53d9fa97", "kernel_id": "55953"}, {"ref": "nirumand/digit-recognizer-nn-2000samples-pca", "kernel_id": "59439"}, {"ref": "silent6stringer/notebook-63ccf352319fca26c962", "kernel_id": "32849"}, {"ref": "silent6stringer/notebook-7564dc37ada3962537c1", "kernel_id": "32836"}, {"ref": "silent6stringer/notebook-dc1406d5daa3648e1ed0", "kernel_id": "32837"}, {"ref": "silent6stringer/notebook-e5c007cc97ebd58e53a9", "kernel_id": "32844"}, {"ref": "missingdays/deep-convolutional-network-using-keras", "kernel_id": "120774"}, {"ref": "missingdays/tensorflow-deep-nn", "kernel_id": "121084"}, {"ref": "pokero/first-effort", "kernel_id": "111522"}, {"ref": "kylebneary/digit-recognizer", "kernel_id": "24157"}, {"ref": "pascalorange/first", "kernel_id": "148671"}, {"ref": "mggrigorov/tensorflow-deep-nn", "kernel_id": "117220"}, {"ref": "anandabhishek/notebook775237124f", "kernel_id": "179716"}, {"ref": "eugenio/digit-recognizer", "kernel_id": "32702"}, {"ref": "bitsofbits/tah-fcn-lasagne-digit-recognizer", "kernel_id": "2468"}, {"ref": "bitsofbits/tah-lasagne-digit-recognizer", "kernel_id": "2431"}, {"ref": "bradyjm1/nnetscript", "kernel_id": "4794"}, {"ref": "bradyjm1/multinominalglm-script", "kernel_id": "4631"}, {"ref": "bradyjm1/digitrecognizerfirstscript", "kernel_id": "4572"}, {"ref": "bradyjm1/random-forest-benchmark", "kernel_id": "4576"}, {"ref": "bradyjm1/random-forest-with-cv", "kernel_id": "12800"}, {"ref": "bradyjm1/exploration", "kernel_id": "14067"}, {"ref": "bradyjm1/ensemble-1", "kernel_id": "14049"}, {"ref": "garywang/notebooka851d97f98", "kernel_id": "90171"}, {"ref": "samdev300/test1", "kernel_id": "6260"}, {"ref": "pradeepvaka/myfirstscript", "kernel_id": "44971"}, {"ref": "yotamyar/test-digit", "kernel_id": "56452"}, {"ref": "paweln/notebook-b8da4b452c67b6d44985", "kernel_id": "35088"}, {"ref": "innerproduct/tensorflow-deep-nn", "kernel_id": "51593"}, {"ref": "thuanbui/digit-recognizer-v1", "kernel_id": "47171"}, {"ref": "jamesulyett/build-your-own-neural-network-in-r", "kernel_id": "32549"}, {"ref": "marsac/random-forest-benchmark", "kernel_id": "811"}, {"ref": "beichu/notebookdc041f3a9c", "kernel_id": "240180"}, {"ref": "czarnik/mnist-1", "kernel_id": "95591"}, {"ref": "czarnik/notebook8076b821ee", "kernel_id": "95592"}, {"ref": "scolianni/how-good-is-inception-v3-at-mnist", "kernel_id": "263078"}, {"ref": "scolianni/tensorflow-convolutional-neural-network-for-mnist", "kernel_id": "234829"}, {"ref": "neelmanisehgal/notebook-48a6d4b21d3f47732464", "kernel_id": "24375"}, {"ref": "ruiming/mnist-simple-cnn-with-keras", "kernel_id": "807087"}, {"ref": "damcgib/notebook2e6f6b4496", "kernel_id": "198867"}, {"ref": "damcgib/simple-ranger", "kernel_id": "253986"}, {"ref": "jc1234/tensorflow-deep-nn", "kernel_id": "75983"}, {"ref": "deepc94/tensorflow-deep-nn", "kernel_id": "71484"}, {"ref": "deepc94/notebook-a758bb0be4adc88e0101", "kernel_id": "71485"}, {"ref": "harshratde/notebook-c3a4c1893595556269f9", "kernel_id": "34049"}, {"ref": "hrgiger/notebook4fa1ce5a9b", "kernel_id": "142448"}, {"ref": "sagarmamdapure/digit-recognizer-in-python-using-cnn", "kernel_id": "99786"}, {"ref": "sagarmamdapure/digit-recognizer-in-python-using-cnn-50c439d6", "kernel_id": "99929"}, {"ref": "iakovenko/tensorflow-deep-nn", "kernel_id": "73750"}, {"ref": "kaishindo/helloworld", "kernel_id": "7578"}, {"ref": "buaahsh/test4py", "kernel_id": "43045"}, {"ref": "chemaplana/the-accountant-mnist-classifier", "kernel_id": "570725"}, {"ref": "chemaplana/the-accountant-mnist-classifier-2", "kernel_id": "827414"}, {"ref": "nitinnataraj/testing", "kernel_id": "202425"}, {"ref": "nitinnataraj/notebook8564781eea", "kernel_id": "202426"}, {"ref": "nitinnataraj/deep-learning-with-keras", "kernel_id": "208392"}, {"ref": "siwei0818/notebook-32b107529b4c7c5e98ff", "kernel_id": "27794"}, {"ref": "siwei0818/digit-recognizer", "kernel_id": "22594"}, {"ref": "tonywinslow/notebook-f9e60d2994ab20174adf", "kernel_id": "43834"}, {"ref": "czak41/notebook0d98c9bdb2", "kernel_id": "127125"}, {"ref": "alexsokolov/tensorflow-softmax-regression-deep-nn", "kernel_id": "31164"}, {"ref": "tcourt1data2edge/digits-test", "kernel_id": "169975"}, {"ref": "wonjohnchoi/pca-linear-regression2", "kernel_id": "7643"}, {"ref": "wonjohnchoi/pca-svm", "kernel_id": "6231"}, {"ref": "wonjohnchoi/pca-knn", "kernel_id": "6342"}, {"ref": "omidzk/knn-benchmark-with-96-7-accuracy", "kernel_id": "68691"}, {"ref": "nazanaydogdu/svm-with-pca", "kernel_id": "2984"}, {"ref": "jiachen/digits-recognition", "kernel_id": "93868"}, {"ref": "gearoidl/script1", "kernel_id": "16699"}, {"ref": "abhikmr/notebook-c9df753617587298b447", "kernel_id": "32466"}, {"ref": "harshitmahapatra/mnist-with-pca-and-neural-network", "kernel_id": "49276"}, {"ref": "benjumhpc/testrun1", "kernel_id": "77962"}, {"ref": "rialeksandrov/notebook-81c283de125a6149cf82", "kernel_id": "49589"}, {"ref": "cbrogan/digit-1", "kernel_id": "40856"}, {"ref": "bdboy01/notebook-833c8ecc8228f8834067", "kernel_id": "28408"}, {"ref": "bdboy01/notebook-494640eea7f51c7698cb", "kernel_id": "28409"}, {"ref": "shahram/test3333", "kernel_id": "22168"}, {"ref": "zhaohy2/xgboost-1st", "kernel_id": "20291"}, {"ref": "zhaohy2/h2odeeplearning1st", "kernel_id": "19504"}, {"ref": "zhaohy2/notebook-317a4b263efbaee9930d", "kernel_id": "31389"}, {"ref": "achuthraomv/simple-deep-mlp-with-keras", "kernel_id": "26676"}, {"ref": "f3e7n2g1/random-forest-benchmark", "kernel_id": "90883"}, {"ref": "reality/scriptrun1", "kernel_id": "25823"}, {"ref": "manprets/tensorflow-deep-nn", "kernel_id": "76281"}, {"ref": "manprets/11kjkjkjk", "kernel_id": "75474"}, {"ref": "riverlee2008/visualizedigits", "kernel_id": "4835"}, {"ref": "mindmi/random-forest-benchmark", "kernel_id": "20358"}, {"ref": "steviekbd/notebook7ecf84669d", "kernel_id": "188226"}, {"ref": "steviekbd/valud", "kernel_id": "188234"}, {"ref": "steviekbd/notebookb9f998553b", "kernel_id": "186722"}, {"ref": "shankarpandala/multiclass-classification-using-mlr", "kernel_id": "98827"}, {"ref": "shankarpandala/pca-svm-shankar", "kernel_id": "10132"}, {"ref": "mnpathak1/what-nn-optimizer-to-use", "kernel_id": "866924"}, {"ref": "shinykorean/notebook-f89735ab9fedca9539b2", "kernel_id": "52482"}, {"ref": "jirivrany/simple-ensemble-model", "kernel_id": "493349"}, {"ref": "vsdaking/abcde2", "kernel_id": "1308"}, {"ref": "ypargaien/tensorflow-deep-nn", "kernel_id": "55189"}, {"ref": "mmlamari/test2", "kernel_id": "470"}, {"ref": "ymcdull/notebook-dfa3ed180f7ffc4ba600", "kernel_id": "43177"}, {"ref": "ymcdull/helloworld", "kernel_id": "43178"}, {"ref": "ymcdull/helloworld-1", "kernel_id": "43179"}, {"ref": "ymcdull/notebook-fbee084c038aee6dc142", "kernel_id": "65648"}, {"ref": "ymcdull/notebook-f8af9b26c01bd40e8871", "kernel_id": "65657"}, {"ref": "ymcdull/notebook-67185e174059802e975b", "kernel_id": "65667"}, {"ref": "ymcdull/notebook-db07ae95a9548cad7363", "kernel_id": "65680"}, {"ref": "ymcdull/frank-tf-forked-test2", "kernel_id": "65930"}, {"ref": "ymcdull/notebook-2aa7acbb4b8d9e0dc618", "kernel_id": "65940"}, {"ref": "ymcdull/notebook-b7f2d569268b7f22187b", "kernel_id": "65941"}, {"ref": "ymcdull/notebook-76d0a0550e0e38dc8350", "kernel_id": "72550"}, {"ref": "ymcdull/frank-digit-tf", "kernel_id": "65473"}, {"ref": "ymcdull/digit-frank-test1", "kernel_id": "65466"}, {"ref": "mylesoneill/tutorial-1-gender-based-model-0-76555", "kernel_id": "5329"}, {"ref": "stupidjoey/pca-svm1", "kernel_id": "32036"}, {"ref": "stupidjoey/pca-analysis", "kernel_id": "32039"}, {"ref": "stupidjoey/pca-knn1", "kernel_id": "32014"}, {"ref": "stupidjoey/digit-test1", "kernel_id": "31236"}, {"ref": "sheepix/notebook-8f44ddebda9c5e164d06", "kernel_id": "43606"}, {"ref": "sheepix/notebook-5d59025b2e37d4d5de6c", "kernel_id": "43616"}, {"ref": "sheepix/digit-recognizer-in-python-using-cnn", "kernel_id": "43600"}, {"ref": "sheepix/notebook-2fc339e2722550eaa47a", "kernel_id": "43603"}, {"ref": "chemplexity/notebook80680bc918", "kernel_id": "91449"}, {"ref": "soucyke/notebookf7199d8366", "kernel_id": "148093"}, {"ref": "mathewm/run-script", "kernel_id": "44104"}, {"ref": "jwalks/test1", "kernel_id": "40"}, {"ref": "liudong/tensorflow-deep-nn", "kernel_id": "60502"}, {"ref": "puyokw/clustering-in-2-dimension-using-tsne", "kernel_id": "5972"}, {"ref": "nicholasb/notebook-12c0c6e42514fb3bdd51", "kernel_id": "59306"}, {"ref": "zonnin/sklearn-ensemble-randomforestclassifier", "kernel_id": "95249"}, {"ref": "canran/notebook-1ed1a3fccc79c364dbd1", "kernel_id": "54465"}, {"ref": "canran/notebook-c29c93285bd711c1e228", "kernel_id": "54466"}, {"ref": "canran/digital-recognition", "kernel_id": "54467"}, {"ref": "canran/notebook-b86686f30c1410dfc2cd", "kernel_id": "54468"}, {"ref": "keisho/notebook-4a5d3c25c04df3f8bbf7", "kernel_id": "70914"}, {"ref": "keisho/notebook-c2c47dabb9a4b4211f7c", "kernel_id": "70915"}, {"ref": "keisho/notebook-524461e8205d6465d37c", "kernel_id": "70916"}, {"ref": "keisho/notebook-e6ddb2a7e19b18c5a0f6", "kernel_id": "71065"}, {"ref": "keisho/notebook-2539af3bf04c9f40b107", "kernel_id": "71151"}, {"ref": "keisho/notebook-4597cf28db83355b8c9d", "kernel_id": "71153"}, {"ref": "keisho/notebook-8ea6edbae40da42bf34e", "kernel_id": "71542"}, {"ref": "keisho/notebook-6cb33b12d8899169871e", "kernel_id": "71942"}, {"ref": "keisho/notebook-f6a4f7765b4c6daf10ca", "kernel_id": "71955"}, {"ref": "keisho/notebook-165096e75da40951eff4", "kernel_id": "71956"}, {"ref": "kamalkishor1991/nn-using-tensor-flow-learning", "kernel_id": "62907"}, {"ref": "kamalkishor1991/notebook-de902b050fddb90926c3", "kernel_id": "63332"}, {"ref": "jkgiesler/tensorflow-deep-nn", "kernel_id": "35705"}, {"ref": "uvinetz/rf-with-python", "kernel_id": "56404"}, {"ref": "uvinetz/notebook-f1f16ca6ece25da3ec4b", "kernel_id": "44381"}, {"ref": "danaugrs/nearest-neighbor-classifer", "kernel_id": "86542"}, {"ref": "danaugrs/k-nearest-neighbors-from-scratch", "kernel_id": "86770"}, {"ref": "sankethmopuru/notebooke7a9bfa67b", "kernel_id": "95691"}, {"ref": "sankethmopuru/notebook21c8d8ef21", "kernel_id": "95251"}, {"ref": "shifanmao/learndigits", "kernel_id": "11811"}, {"ref": "shifanmao/random-forest-sklearn", "kernel_id": "13206"}, {"ref": "ingeniosus/notebook-7eddae195fb7c04fdea5", "kernel_id": "41565"}, {"ref": "jurajm/tensorflow-softmax-regression-deep-nn", "kernel_id": "29963"}, {"ref": "hungryzerg/hzerg", "kernel_id": "24493"}, {"ref": "mrvege/notebook-4ad32882d1ec738e93e5", "kernel_id": "21434"}, {"ref": "mvgkbhat/trainmnist", "kernel_id": "114852"}, {"ref": "sreak1089/digit-recognizer-in-python-using-cnn", "kernel_id": "153944"}, {"ref": "puzzler10/testt", "kernel_id": "52064"}, {"ref": "verbose/exercise", "kernel_id": "36177"}, {"ref": "koen101/notebook-3db0e777c3549ec19ea9", "kernel_id": "34643"}, {"ref": "koen101/notebook-c995ffe7335cad8080c3", "kernel_id": "34645"}, {"ref": "koen101/abcde", "kernel_id": "34646"}, {"ref": "koen101/notebook-f357e69636359dcaf718", "kernel_id": "34648"}, {"ref": "koen101/notebook-0d4458de7752b7e734e9", "kernel_id": "34649"}, {"ref": "koen101/abcde2tgwr", "kernel_id": "34654"}, {"ref": "koen101/tensorflow-softmax-regression-deep-nn", "kernel_id": "34628"}, {"ref": "koen101/notebook-170f6b05b2e1253539e9", "kernel_id": "34630"}, {"ref": "koen101/notebook-000fe6a282cd403b42de", "kernel_id": "34632"}, {"ref": "koen101/notebook-f7a951ba2abb40c195a3", "kernel_id": "34634"}, {"ref": "koen101/notebook-eacaae90356b46359a99", "kernel_id": "34636"}, {"ref": "rajath/test1-12", "kernel_id": "53661"}, {"ref": "vovallen/first-attemp", "kernel_id": "36512"}, {"ref": "daryadedik/mnist-with-cnn-0-99157-score", "kernel_id": "95961"}, {"ref": "daryadedik/fork-of-mnist-with-cnn-0-99157-score", "kernel_id": "156281"}, {"ref": "japhilko/stats-on-digit-recognition", "kernel_id": "82548"}, {"ref": "twsthomas/tensorflow-deep-nn", "kernel_id": "97102"}, {"ref": "tonygracious/notebook-f1ccd39b88ab5ad018e8", "kernel_id": "32490"}, {"ref": "tonygracious/notebook-b4e76f3c9c5bc7b2bd53", "kernel_id": "32493"}, {"ref": "tonygracious/notebook-0e42ced233ec1b0300cc", "kernel_id": "32494"}, {"ref": "tonygracious/notebook-2c0903429d9654c51bf6", "kernel_id": "32495"}, {"ref": "tonygracious/notebook-5a414d19181fbe01c5ab", "kernel_id": "32496"}, {"ref": "tonygracious/notebook-2de5830b754927284ef3", "kernel_id": "32497"}, {"ref": "tonygracious/notebook-c45200824a217baa1484", "kernel_id": "22542"}, {"ref": "tonygracious/notebook-00edf0e8ae1525ea59ed", "kernel_id": "22543"}, {"ref": "tonygracious/digit-classifier-test", "kernel_id": "22533"}, {"ref": "guangzhixingno1/notebook-9549c756319210dafb49", "kernel_id": "34727"}, {"ref": "guangzhixingno1/digit-recognizer-in-python-using-cnn", "kernel_id": "34821"}, {"ref": "guangzhixingno1/notebook-98f84c24d2a942bb5c6b", "kernel_id": "34822"}, {"ref": "guangzhixingno1/notebook-ab278159f9bf2168c5d2", "kernel_id": "34826"}, {"ref": "guangzhixingno1/tensorflow-softmax-regression-deep-nn", "kernel_id": "34848"}, {"ref": "mkesselaers/notebook-69811d54113e80df0429", "kernel_id": "84418"}, {"ref": "mkesselaers/notebook-4a9a89849fb56f681f2d", "kernel_id": "84608"}, {"ref": "mkesselaers/digit-recognition", "kernel_id": "84609"}, {"ref": "mkesselaers/notebook-da53cbb775a5109cbe2f", "kernel_id": "84612"}, {"ref": "mkesselaers/digit-recognition-random-forest", "kernel_id": "84615"}, {"ref": "alfmunny/digit-recognizer", "kernel_id": "17946"}, {"ref": "eventrope/test1", "kernel_id": "9994"}, {"ref": "champion1955/digit-recognizer-script", "kernel_id": "214459"}, {"ref": "verecahill/digit-recognizer-in-python-using-cnn", "kernel_id": "27728"}, {"ref": "sionwang/notebook-abc325e0276ebdf7d75f", "kernel_id": "38795"}, {"ref": "mmmm123/tensorflow-deep-nn", "kernel_id": "106097"}, {"ref": "mohinbanker/digit-recognizer", "kernel_id": "93136"}, {"ref": "jeremylovedata/knn-from-scratch-in-python-at-97-1", "kernel_id": "93251"}, {"ref": "amineteffal/script-aminos-di-rec", "kernel_id": "99848"}, {"ref": "sadapple/notebookad83c92413", "kernel_id": "239190"}, {"ref": "sadapple/interactive-intro-to-dimensionality-reduction", "kernel_id": "239212"}, {"ref": "sadapple/tensorflow-deep-nn-sample", "kernel_id": "239215"}, {"ref": "oliverbinns/notebook-17cd082b58c6942f8247", "kernel_id": "26010"}, {"ref": "shuangsong/interactive-intro-to-dimensionality-reduction", "kernel_id": "170402"}, {"ref": "jingweili/digit-recognizer-in-python-using-cnn", "kernel_id": "55004"}, {"ref": "kenik319768/testo", "kernel_id": "33"}, {"ref": "aaronbyun/test111", "kernel_id": "25997"}, {"ref": "aaronbyun/notebook-862c5da4f891eca39ad0", "kernel_id": "25992"}, {"ref": "aaronbyun/test1", "kernel_id": "25988"}, {"ref": "dgplex/digit-recognizer-using-knn", "kernel_id": "39"}, {"ref": "nehasaraf/digit-recognizer-in-python-using-cnn", "kernel_id": "220409"}, {"ref": "zainjafri/digit-recognizer", "kernel_id": "35"}, {"ref": "ripeconan/notebook-b1a215e9cba4fdbd4b5f", "kernel_id": "32078"}, {"ref": "segovia/notebook-03f4f1e79c1d4f7f0ae6", "kernel_id": "69008"}, {"ref": "xsschauhan/simple-perceptron-classifier", "kernel_id": "81437"}, {"ref": "xsschauhan/notebook-527aba2ce1bd60cb6e3f", "kernel_id": "81442"}, {"ref": "imagineer/tensorflow-deep-nn", "kernel_id": "61732"}, {"ref": "imagineer/notebook-21a4cf851d31271c863a", "kernel_id": "61733"}, {"ref": "imagineer/notebook-9f194816774760cc27ca", "kernel_id": "61734"}, {"ref": "imagineer/notebook-075c89f358542477ddb3", "kernel_id": "61741"}, {"ref": "ferrarisf50/notebook-42c0592fce1d5b63ea2f", "kernel_id": "81637"}, {"ref": "ferrarisf50/notebook-c57ed05c260f8db4738a", "kernel_id": "81655"}, {"ref": "ferrarisf50/tensorflow-deep-nn", "kernel_id": "47743"}, {"ref": "ferrarisf50/notebook-29b081caa25fd4994edf", "kernel_id": "48043"}, {"ref": "ferrarisf50/notebook-90e0fff3ebc6e1219213", "kernel_id": "48044"}, {"ref": "syednasar/digit-classification-naswiz", "kernel_id": "47668"}, {"ref": "cs822tayyebaafaf/first", "kernel_id": "572"}, {"ref": "nzw0301/notebook-56efc927e6e3c9778594", "kernel_id": "74556"}, {"ref": "nzw0301/notebook-20f9dd46530758fd5cf2", "kernel_id": "74557"}, {"ref": "nzw0301/notebook-bb52a0ba3b9bb1c91c77", "kernel_id": "45797"}, {"ref": "nzw0301/keras-mnist", "kernel_id": "61770"}, {"ref": "nisselarsson/simple-deep-mlp-with-keras", "kernel_id": "634"}, {"ref": "menegaz/hot-zones-in-the-input-data", "kernel_id": "222752"}, {"ref": "puccaa/notebook4016ef79ad", "kernel_id": "167592"}, {"ref": "mfkhan1994/tensorflow-deep-nn", "kernel_id": "165054"}, {"ref": "deepfish/whatitis", "kernel_id": "59930"}, {"ref": "user323050/mnist-tensorflow-nnet-relu-sigmoid-layers", "kernel_id": "793776"}, {"ref": "zearom32/pca-knn", "kernel_id": "7323"}, {"ref": "zearom32/pca-svm", "kernel_id": "7399"}, {"ref": "kraglemylego/tensorflow-deep-nn", "kernel_id": "99104"}, {"ref": "ertugrulural/notebookd5a715d5f5", "kernel_id": "173969"}, {"ref": "ertugrulural/digitrecognizer-v2", "kernel_id": "173970"}, {"ref": "fadybarsoum/hello-world", "kernel_id": "17512"}, {"ref": "isfelix/neural-network-approach", "kernel_id": "167344"}, {"ref": "isfelix/a-beginner-s-approach-to-classification", "kernel_id": "167350"}, {"ref": "isfelix/manifold-learning-and-autoencoders", "kernel_id": "167365"}, {"ref": "isfelix/simple-convolutional-nueral-network-keras", "kernel_id": "167370"}, {"ref": "isfelix/using-random-forest", "kernel_id": "167374"}, {"ref": "isfelix/digit-recognizer-in-python-using-cnn", "kernel_id": "168880"}, {"ref": "isfelix/knn-from-scratch-in-python-at-97-1", "kernel_id": "168822"}, {"ref": "peterpower/notebook7ee7a16160", "kernel_id": "194444"}, {"ref": "doremi/notebook2cdbfb34f8", "kernel_id": "241491"}, {"ref": "doremi/notebook99455b061f", "kernel_id": "241594"}, {"ref": "harshvardhan/notebook-64d92cbbabd459b25c89", "kernel_id": "47936"}, {"ref": "harshvardhan/using-knn-at-k-3", "kernel_id": "47955"}, {"ref": "harshvardhan/notebook-264d40fbb1c3cd47ac47", "kernel_id": "47959"}, {"ref": "pagetruth/test-kaggle-script", "kernel_id": "109"}, {"ref": "rsandell/notebook-ac08f6ca49fbddc9bbb6", "kernel_id": "62955"}, {"ref": "rsandell/notebook-bb58e36a1f14756b4cbb", "kernel_id": "62956"}, {"ref": "kingcu/firstrcode", "kernel_id": "244"}, {"ref": "alanwuiskaggler/test-python", "kernel_id": "34122"}, {"ref": "zhehangt/digit-recognizer-in-python-using-cnn", "kernel_id": "27746"}, {"ref": "haifengxu9/digit", "kernel_id": "97448"}, {"ref": "oshanm/notebook-bfd6be58d9765581cd5c", "kernel_id": "70315"}, {"ref": "kjitender/ranger-model1", "kernel_id": "142815"}, {"ref": "development/script-py", "kernel_id": "93774"}, {"ref": "development/notebook", "kernel_id": "93772"}, {"ref": "epigos/tensorflow-softmax-regression-deep-nn", "kernel_id": "33364"}, {"ref": "raviranjan1/script-r", "kernel_id": "46544"}, {"ref": "raviranjan1/notebook-60614acfd7f49c6f12e6", "kernel_id": "34599"}, {"ref": "mibnuq/dasken", "kernel_id": "143"}, {"ref": "enrique1500/explore-digit-recognizer-training-set", "kernel_id": "23783"}, {"ref": "trevorbix/test123", "kernel_id": "7042"}, {"ref": "jiangshuai/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "22461"}, {"ref": "rpatra/sample-submission", "kernel_id": "712883"}, {"ref": "zhanghuahua/pca-svm", "kernel_id": "10246"}, {"ref": "achiiin/test1", "kernel_id": "17253"}, {"ref": "nedungadis/digit-test", "kernel_id": "11448"}, {"ref": "vikash2829/notebook0f2363ab24", "kernel_id": "167684"}, {"ref": "erkowa/notebook-e4130ee1317552f325a5", "kernel_id": "69372"}, {"ref": "erkowa/notebook-09f00776de5bd544d2aa", "kernel_id": "69374"}, {"ref": "erkowa/notebook-9f64a036f0fdcc2be65f", "kernel_id": "69375"}, {"ref": "drevan/mytest-01", "kernel_id": "61660"}, {"ref": "anthonyyeo/notebook-85b3fd7b41d1d88aecae", "kernel_id": "26065"}, {"ref": "anthonyyeo/testing", "kernel_id": "26067"}, {"ref": "ahmedhelmi/test1", "kernel_id": "110350"}, {"ref": "guosch/notebook-60228908178979cdb139", "kernel_id": "46541"}, {"ref": "zxstest/notebook-72033979f53ec7958bda", "kernel_id": "54146"}, {"ref": "zxstest/handwritten-digits", "kernel_id": "228"}, {"ref": "guangwei1982/comparing-random-forest-pca-and-knn", "kernel_id": "166671"}, {"ref": "guangwei1982/comparing-random-forest-pca-and-knn-643207b7", "kernel_id": "166680"}, {"ref": "vzhorin/notebook682e3cade5", "kernel_id": "208351"}, {"ref": "chaoranliu/attempt-with-knn", "kernel_id": "6826"}, {"ref": "chaoranliu/attempt-with-svm", "kernel_id": "6968"}, {"ref": "pagpires/notebook-de0d3937497ff781a373", "kernel_id": "43438"}, {"ref": "pagpires/notebook-306d3ff834260a7ac7b1", "kernel_id": "43439"}, {"ref": "pagpires/notebook-fe17a925844d82f60708", "kernel_id": "43442"}, {"ref": "pagpires/notebook-3b1d830560979745cd70", "kernel_id": "43449"}, {"ref": "harrymu/just-a-test", "kernel_id": "74461"}, {"ref": "harrymu/solution-1", "kernel_id": "74471"}, {"ref": "mingzailao/notebook-f3e0a1bd3215714f5ffe", "kernel_id": "63295"}, {"ref": "liaopan/notebook-6f3acfa4a8b51f9e2352", "kernel_id": "52827"}, {"ref": "liaopan/random-forest-of-trees-and-accuracy", "kernel_id": "52829"}, {"ref": "liaopan/notebook-bdc582dd9ceb47f74748", "kernel_id": "52581"}, {"ref": "liaopan/notebook-ee4fda95fcb8bbd6bcc4", "kernel_id": "52582"}, {"ref": "liaopan/random-forest-benchmark", "kernel_id": "52583"}, {"ref": "liaopan/tensorflow-deep-nn", "kernel_id": "57478"}, {"ref": "liaopan/notebook-c2d0dfefe818616633e9", "kernel_id": "57479"}, {"ref": "liaopan/tensorflow-deepnn", "kernel_id": "57480"}, {"ref": "liaopan/notebook-6564844b29289befb968", "kernel_id": "50471"}, {"ref": "liaopan/notebook-bdbc62a87813f59b1626", "kernel_id": "50474"}, {"ref": "muratozbek/murat", "kernel_id": "288"}, {"ref": "yuvaldagan/svm-with-pca-cv", "kernel_id": "107518"}, {"ref": "yuvaldagan/visualzing-mnist-attributes-and-pca", "kernel_id": "107438"}, {"ref": "bboyrichardcu/tensorflow-deep-nn", "kernel_id": "108418"}, {"ref": "bboyrichardcu/tensorflow-deep-nn-e37dadec", "kernel_id": "155971"}, {"ref": "bboyrichardcu/digit-recognizer-in-python-using-cnn", "kernel_id": "155728"}, {"ref": "bboyrichardcu/tensorflow-deep-nn-e0649254", "kernel_id": "155729"}, {"ref": "sukumarburra/first", "kernel_id": "43905"}, {"ref": "sukumarburra/sample", "kernel_id": "43908"}, {"ref": "dineshlal/notebooka1382a2e20", "kernel_id": "104255"}, {"ref": "dineshlal/notebook0ed1c5639b", "kernel_id": "100426"}, {"ref": "dineshlal/notebook1", "kernel_id": "99677"}, {"ref": "dineshlal/notebooke2f06d0704", "kernel_id": "99601"}, {"ref": "dineshlal/notebook0c783bd243", "kernel_id": "99442"}, {"ref": "dineshlal/basic-neural-network-model", "kernel_id": "99162"}, {"ref": "dineshlal/notebook47e97d08be", "kernel_id": "99284"}, {"ref": "sahibachopra/digital-recognizer", "kernel_id": "35123"}, {"ref": "sahibachopra/notebook-70678020123d645b93af", "kernel_id": "35129"}, {"ref": "harukawa3/digit-recognizer-in-python-using-cnn", "kernel_id": "52559"}, {"ref": "mfehn91/digitrecognizer", "kernel_id": "298"}, {"ref": "aeeilllmrx/digit-recognizer-logreg", "kernel_id": "6662"}, {"ref": "bocharovf/fork-of-decision-tree-with-bagging", "kernel_id": "95274"}, {"ref": "bocharovf/decision-tree-with-bagging", "kernel_id": "94755"}, {"ref": "miguelors/digits-with-ggplot2-and-random-forest", "kernel_id": "129642"}, {"ref": "miguelors/digits-with-ggplot2-and-random-forest-779ca4b1", "kernel_id": "129643"}, {"ref": "miguelors/digits-with-ggplot2-and-random-forest-9f5b4a7d", "kernel_id": "129645"}, {"ref": "miguelors/mnist-data-analysis", "kernel_id": "129653"}, {"ref": "miguelors/pca-ksvm-s-kernel-vanilladot", "kernel_id": "129654"}, {"ref": "shijinzhang/1111111", "kernel_id": "3152"}, {"ref": "nicovil/notebookc62de01e6a", "kernel_id": "86522"}, {"ref": "sreesindhusruthi/notebook-5e8802fe22169f50d209", "kernel_id": "69205"}, {"ref": "sreesindhusruthi/read-script", "kernel_id": "69207"}, {"ref": "sreesindhusruthi/test-script", "kernel_id": "69188"}, {"ref": "sreesindhusruthi/notebook-1a136a375f2fb20beffe", "kernel_id": "69190"}, {"ref": "sreesindhusruthi/notebook-82ab5eb8845ab04e7a43", "kernel_id": "69210"}, {"ref": "fdust337045/rf-proximity", "kernel_id": "1073"}, {"ref": "fdust337045/simple-deep-mlp-with-keras", "kernel_id": "1074"}, {"ref": "wggbullet/justahello", "kernel_id": "310"}, {"ref": "zyang360/notebook-aa3986d9decae227443d", "kernel_id": "48695"}, {"ref": "amandus/testpy", "kernel_id": "24917"}, {"ref": "amandus/pythondigitrecognizerrf", "kernel_id": "25802"}, {"ref": "amandus/py-digitrecognizer-cnn", "kernel_id": "25813"}, {"ref": "seasons/seasons-digit-recognition", "kernel_id": "39484"}, {"ref": "seasons/notebook-30e73c880a337bd5508b", "kernel_id": "39485"}, {"ref": "seasons/seasonsdigitrecognition", "kernel_id": "39486"}, {"ref": "tmckinney/digit-recognizer-with-scikit-learn", "kernel_id": "156651"}, {"ref": "rganeshprasath/notebook68921dbc88", "kernel_id": "339871"}, {"ref": "pasmanal/testrun", "kernel_id": "324"}, {"ref": "codechef/build-digit-recognizer-with-tensorflow-cnn", "kernel_id": "548301"}, {"ref": "matthewshirley/neural-network", "kernel_id": "7896"}, {"ref": "gdmeda/notebook-e073a886ebb749b3a771", "kernel_id": "74605"}, {"ref": "vinaychandranp/tensorflow-deep-nn", "kernel_id": "62382"}, {"ref": "mibanda/notebook-9dd64d8acffa8b70114d", "kernel_id": "29314"}, {"ref": "mibanda/notebook-6e6e96534f359e12d634", "kernel_id": "29312"}, {"ref": "mibanda/notebook-c3f91dff2009761a2959", "kernel_id": "29284"}, {"ref": "davidgasquez/knn-test", "kernel_id": "4612"}, {"ref": "pvkhoi/notebookb248c7d96d", "kernel_id": "206262"}, {"ref": "sdlane/notebook48a404b357", "kernel_id": "134711"}, {"ref": "sdlane/myscript", "kernel_id": "134709"}, {"ref": "mattlei/notebook-08df67d05deca74e40ee", "kernel_id": "27131"}, {"ref": "mattlei/digit", "kernel_id": "27132"}, {"ref": "costapt/notebook-2724efa5626a9a1c2c3f", "kernel_id": "25696"}, {"ref": "windspeaker/abcdefg", "kernel_id": "1072"}, {"ref": "lfrocha12/practice", "kernel_id": "833"}, {"ref": "zhangjunw/https-www-kaggle-com-c-digit-recognize", "kernel_id": "24108"}, {"ref": "zhangjunw/svm-pca", "kernel_id": "52757"}, {"ref": "zhangjunw/040901", "kernel_id": "52751"}, {"ref": "zhangjunw/first-log", "kernel_id": "52049"}, {"ref": "jj0000/notebook-e4c41acca61f6175edcd", "kernel_id": "24402"}, {"ref": "sandepp/mnist-digit-classifier", "kernel_id": "115342"}, {"ref": "vijinkp/tensorflow-deep-nn", "kernel_id": "101628"}, {"ref": "shubham1/sa-mnist", "kernel_id": "284686"}, {"ref": "agloolga/tensorflow-deep-nn", "kernel_id": "43223"}, {"ref": "fortuna/notebook-70d59381e1a7d882a8ec", "kernel_id": "30688"}, {"ref": "reneknaebel/digit-nn", "kernel_id": "45159"}, {"ref": "wen036/digit-recognizer", "kernel_id": "25144"}, {"ref": "davidkaftan/myfirstkaggleproject", "kernel_id": "14108"}, {"ref": "lifengmiao/digit-recognizer-logreg", "kernel_id": "6267"}, {"ref": "lifengmiao/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "6719"}, {"ref": "lifengmiao/nn-pybrain-python", "kernel_id": "7753"}, {"ref": "lifengmiao/tensorflow-deep-nn", "kernel_id": "55917"}, {"ref": "lifengmiao/notebook-33d6959bbd955b32668e", "kernel_id": "55918"}, {"ref": "lifengmiao/digit-recognizer-notebook", "kernel_id": "55920"}, {"ref": "dbsnail/numberprediction", "kernel_id": "239144"}, {"ref": "bigdawg/test-script", "kernel_id": "245291"}, {"ref": "jakubszygula/start", "kernel_id": "1094"}, {"ref": "mattgenkin/first-attempts-with-neural-net-in-theano", "kernel_id": "8118"}, {"ref": "mattgenkin/idk1000ultra", "kernel_id": "15440"}, {"ref": "lsmallmouse/tensorflow-deep-nn", "kernel_id": "35774"}, {"ref": "wishfulsaint/digit-recognizer-zzy", "kernel_id": "158588"}, {"ref": "ewandao/convolutional-nn-in-python", "kernel_id": "1467"}, {"ref": "drchrisarthur/sknn-ae-test", "kernel_id": "37536"}, {"ref": "rainvision/hello", "kernel_id": "23322"}, {"ref": "rolentle/notebook6290a95efd", "kernel_id": "91200"}, {"ref": "rolentle/test-hand-written", "kernel_id": "91198"}, {"ref": "kunaliitkgp/random-forest-benchmark-1", "kernel_id": "32524"}, {"ref": "kylejeong/notebook-3af9002b9acbe74dd28f", "kernel_id": "46429"}, {"ref": "alexanderbalaban/digit-recognizer", "kernel_id": "22306"}, {"ref": "akshayseth7/tensorflow-deep-nn", "kernel_id": "180327"}, {"ref": "agxcul/notebook-f0cecca47da47feeb71a", "kernel_id": "24361"}, {"ref": "agxcul/helloworld", "kernel_id": "24362"}, {"ref": "vzocca/simple-mnist-python-code", "kernel_id": "49036"}, {"ref": "jpbirdy/test1", "kernel_id": "24512"}, {"ref": "binhuang/image", "kernel_id": "162673"}, {"ref": "wikhung/learning-cnn-and-keras", "kernel_id": "85665"}, {"ref": "wikhung/notebook22b9033c1c", "kernel_id": "85654"}, {"ref": "wikhung/notebook1c7bfbe414", "kernel_id": "85655"}, {"ref": "wikhung/learning-cnn-through-keras", "kernel_id": "85667"}, {"ref": "wikhung/notebook815e0b4d10", "kernel_id": "85658"}, {"ref": "wikhung/notebook8bc7bb67f8", "kernel_id": "85660"}, {"ref": "wikhung/tensorflow-cnn", "kernel_id": "236533"}, {"ref": "edwinshi/tensorflow-deep-nn", "kernel_id": "106258"}, {"ref": "felixtorreador/myfirst", "kernel_id": "1541"}, {"ref": "chamyeongseop/notebook-c55d2d35c1108e14d6eb", "kernel_id": "46887"}, {"ref": "aaronjlarson/firstscript", "kernel_id": "91914"}, {"ref": "shoaibahmedsiddiqui/cnn-py", "kernel_id": "303396"}, {"ref": "achalshah/notebook8016a7708e", "kernel_id": "105238"}, {"ref": "rigved/simple-perceptron-classifier", "kernel_id": "77150"}, {"ref": "zhiyue/notebook-45547b48d7d6d8d324a6", "kernel_id": "22932"}, {"ref": "alaaelnouby/notebook-bd66feb4dd387ff90b97", "kernel_id": "36753"}, {"ref": "alaaelnouby/notebook-cab750b655d2b4934d51", "kernel_id": "36741"}, {"ref": "alaaelnouby/notebook-7a0b49f5a800b29bb25d", "kernel_id": "36716"}, {"ref": "alaaelnouby/notebook-379527ad8da586dd881b", "kernel_id": "36729"}, {"ref": "alaaelnouby/notebook-d1c5c4c5940b04f33677", "kernel_id": "36713"}, {"ref": "alaaelnouby/notebook-33ba415a3127ec07f64e", "kernel_id": "36549"}, {"ref": "alaaelnouby/tensorflow-deep-nn", "kernel_id": "36535"}, {"ref": "yangzheng/random-forest-benchmark", "kernel_id": "1661"}, {"ref": "user349086/digit-recongnizer", "kernel_id": "2981"}, {"ref": "amanpahariya/digit-reco", "kernel_id": "10662"}, {"ref": "jiachengpan/tensorflow-deep-nn", "kernel_id": "124740"}, {"ref": "jiachengpan/digit-recogniser", "kernel_id": "124734"}, {"ref": "codebat/trial-machine-learning", "kernel_id": "246947"}, {"ref": "jeanyutongchen/tensorflow-softmax-regression-deep-nn", "kernel_id": "34214"}, {"ref": "otiksaw/notebook2bed0b76c1", "kernel_id": "162043"}, {"ref": "otiksaw/minst-using-randomforest-svm-and-neuralnet", "kernel_id": "162033"}, {"ref": "otiksaw/caret-pca-random-forest-svm-and-neuralnet", "kernel_id": "162037"}, {"ref": "strideradu/handwriting", "kernel_id": "33428"}, {"ref": "lkavanagh/keras-cnn-with-explanation", "kernel_id": "138612"}, {"ref": "dominikglenz/my-handwriting", "kernel_id": "2966"}, {"ref": "florianj/digit-recognizer-in-python-using-cnn", "kernel_id": "50965"}, {"ref": "payyan/payyandigitrecognizer", "kernel_id": "9914"}, {"ref": "hnkryden/notebook8dc63c449f", "kernel_id": "194406"}, {"ref": "hnkryden/notebook3b4c921aaf", "kernel_id": "194410"}, {"ref": "hnkryden/notebook2fe7171576", "kernel_id": "194418"}, {"ref": "niteshsoni/nsoni", "kernel_id": "2798"}, {"ref": "heaviside9/passive-aggressive-with-kernel-approximation", "kernel_id": "295670"}, {"ref": "amirhosseinr/simple-deep-mlp-with-keras", "kernel_id": "2870"}, {"ref": "pperezrubio/tensorflow-deep-nn", "kernel_id": "46942"}, {"ref": "lahinantar/digit-recognizer", "kernel_id": "13044"}, {"ref": "jonnagra/proba", "kernel_id": "95157"}, {"ref": "aramanan/dr-cart", "kernel_id": "8316"}, {"ref": "bravespacemonkey/grad1", "kernel_id": "15842"}, {"ref": "himakarreddy/mynew", "kernel_id": "3208"}, {"ref": "gauravrai0x/notebook-a670f7bdafbf0288cbd5", "kernel_id": "33497"}, {"ref": "starml/firstscript", "kernel_id": "157117"}, {"ref": "zsimath/mnist-with-cnn-0-99157-score", "kernel_id": "123530"}, {"ref": "andreumora/notebookae5d55d3af", "kernel_id": "136929"}, {"ref": "andreumora/digit-recognition-with-basic-mlp-nn", "kernel_id": "136714"}, {"ref": "mevanoff24/numpy-neural-network-with-rmsprop", "kernel_id": "107753"}, {"ref": "vinodmang/trial-pca-svm", "kernel_id": "6447"}, {"ref": "avmehta/attempt2", "kernel_id": "23397"}, {"ref": "avmehta/ranfor", "kernel_id": "24944"}, {"ref": "keithleit/notebookf8e954eb16", "kernel_id": "140254"}, {"ref": "gakutobinobu/notebook671eff92b7", "kernel_id": "116506"}, {"ref": "poojarajdev/interactive-intro-to-dimensionality-reducti-8fce40", "kernel_id": "242039"}, {"ref": "poojarajdev/interactive-intro-to-dimensionality-reduction", "kernel_id": "241996"}, {"ref": "ceobillionaire/convolutional-nn-in-python", "kernel_id": "4802"}, {"ref": "vlandeiro/tensorflow-deep-nn", "kernel_id": "47278"}, {"ref": "jyotiislam/deep-convolutional-network-using-keras2", "kernel_id": "70032"}, {"ref": "rayzhao3000/practice", "kernel_id": "63607"}, {"ref": "kenkenp/digits-clasifier", "kernel_id": "22088"}, {"ref": "kenkenp/notebook-b94fa59d0e5ab553bf63", "kernel_id": "22095"}, {"ref": "gsprince/testing", "kernel_id": "4383"}, {"ref": "cprybol/notebook-70a9cb9648c611d30325", "kernel_id": "30440"}, {"ref": "jaredlunde/testtest", "kernel_id": "5522"}, {"ref": "kenildomadia/myscript", "kernel_id": "20397"}, {"ref": "le3sym44/first-trial", "kernel_id": "16146"}, {"ref": "liweihu/example-handwritten-digits", "kernel_id": "4534"}, {"ref": "leek1211/sklearn-pca-svm-with-low-gamma", "kernel_id": "6289"}, {"ref": "leek1211/feed-forward-neural-netwrok", "kernel_id": "6354"}, {"ref": "lucasmatt/first-test", "kernel_id": "4557"}, {"ref": "ruinhead/simple-deep-mlp-with-keras", "kernel_id": "4742"}, {"ref": "narayanansivasailam/hellokaggle", "kernel_id": "125074"}, {"ref": "mbeach/simple-deep-mlp-with-keras", "kernel_id": "43718"}, {"ref": "satish9040/simple", "kernel_id": "277800"}, {"ref": "fzr72725/notebook7921cb2d76", "kernel_id": "92249"}, {"ref": "kelvinkong/notebook9a6b8b25da", "kernel_id": "251398"}, {"ref": "qianmarv/qianmarv-001", "kernel_id": "5289"}, {"ref": "qianmarv/svm-with-pca", "kernel_id": "6671"}, {"ref": "nzhechev/tf-convnet", "kernel_id": "253782"}, {"ref": "nzhechev/tensorflow-toy-neuralnetwork", "kernel_id": "256862"}, {"ref": "semperperitus/script-1", "kernel_id": "4859"}, {"ref": "waynestar/notebook-6bc8cc8b603a260599f4", "kernel_id": "41130"}, {"ref": "mkarutz/tensorflow-deep-nn", "kernel_id": "91238"}, {"ref": "manu92/interactive-intro-to-dimensionality-reduction", "kernel_id": "170838"}, {"ref": "manu92/knn-from-scratch-in-python-at-97-1", "kernel_id": "170840"}, {"ref": "manu92/digit-recognizer-in-python-using-cnn", "kernel_id": "170841"}, {"ref": "manu92/a-beginner-s-approach-to-classification", "kernel_id": "170842"}, {"ref": "anjithgeorge/keras-mnist-v0-1", "kernel_id": "122530"}, {"ref": "jamesverbus/notebook-e0432fb3b831652ff90f", "kernel_id": "23800"}, {"ref": "subarnarana1/subarnarana", "kernel_id": "4960"}, {"ref": "alistairfang/notebook-0d172821fb20fc8c153e", "kernel_id": "48399"}, {"ref": "alistairfang/it-is-a-wonderful-day", "kernel_id": "48400"}, {"ref": "xmists/test11", "kernel_id": "5634"}, {"ref": "keggleprofile/test1", "kernel_id": "5022"}, {"ref": "alandiegosantos/notebook-c99ae7b14c6a10df2679", "kernel_id": "82299"}, {"ref": "alandiegosantos/notebook-97b42395650324412989", "kernel_id": "82301"}, {"ref": "alandiegosantos/notebook-b8e97a1206b7e875cbb4", "kernel_id": "82669"}, {"ref": "yshvrdhn/neural-network-with-kera", "kernel_id": "124857"}, {"ref": "akmahaja/helle", "kernel_id": "10142"}, {"ref": "jjrael/test01", "kernel_id": "17287"}, {"ref": "jjrael/first-test", "kernel_id": "17185"}, {"ref": "jjrael/test-02", "kernel_id": "17186"}, {"ref": "legorreta/manifold-learning-and-autoencoders", "kernel_id": "151092"}, {"ref": "alemozz/notebookc802c55d60", "kernel_id": "101860"}, {"ref": "mprents/attempt1", "kernel_id": "59761"}, {"ref": "mhw1902/tensorflow-deep-nn", "kernel_id": "35097"}, {"ref": "agemoo/first-test", "kernel_id": "126648"}, {"ref": "tyuhgce/testr", "kernel_id": "5404"}, {"ref": "philipkalinda/digit-recognizer-in-python-using-cnn", "kernel_id": "104864"}, {"ref": "mindlessjoker/tensorflow-first-steps", "kernel_id": "236601"}, {"ref": "cwxfly/notebook-1b822510878646621227", "kernel_id": "31947"}, {"ref": "naiveroot/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "16490"}, {"ref": "domive/tensorflow-deep-nn", "kernel_id": "67980"}, {"ref": "domive/notebook-344a2dbfe915ed6e47b5", "kernel_id": "67983"}, {"ref": "joshlevy89/notebook20b2194ac6", "kernel_id": "103082"}, {"ref": "amrfuras/convolutional-nn-in-python1", "kernel_id": "5441"}, {"ref": "amrfuras/keras-example-for-jeff", "kernel_id": "5548"}, {"ref": "amrfuras/convolutional-nn-in-python-2", "kernel_id": "5551"}, {"ref": "amrfuras/theano-example", "kernel_id": "5554"}, {"ref": "leheoppo/notebook-ca7300d5b27cb95155d7", "kernel_id": "37525"}, {"ref": "nannanup/notebook1bf0d9a4e4", "kernel_id": "107912"}, {"ref": "go333uyo/notebook-d1d61fcda87f69c56264", "kernel_id": "84605"}, {"ref": "go333uyo/my-fisrt-kaggle", "kernel_id": "84606"}, {"ref": "nathanelbaz/titlle", "kernel_id": "5799"}, {"ref": "nathanelbaz/test2", "kernel_id": "5856"}, {"ref": "upgrade/notebook60ff67cd5d", "kernel_id": "89255"}, {"ref": "upgrade/usingtensorflow", "kernel_id": "94431"}, {"ref": "usingtc/lenet-with-pytorch", "kernel_id": "289221"}, {"ref": "muditbachhawat/firsttestscript", "kernel_id": "5925"}, {"ref": "sayanm94/first-try-in-kaggle", "kernel_id": "20651"}, {"ref": "yfwz100/mnist-rf-py", "kernel_id": "17421"}, {"ref": "guoruijiao6696/notebook-6dd21c4fa915d7cf100d", "kernel_id": "69311"}, {"ref": "swapniljariwala/notebook-3f2566c289bed90b28d5", "kernel_id": "68145"}, {"ref": "swapniljariwala/logistic", "kernel_id": "68146"}, {"ref": "alekst/notebook9b494bf7f3", "kernel_id": "179264"}, {"ref": "cyyuenangie/notebook-d98222f853d471331b39", "kernel_id": "26057"}, {"ref": "cyyuenangie/notebook-9f49127f4f75daf88b62", "kernel_id": "26060"}, {"ref": "graubitz/notebook-755a7fa730ec79ec3e8d", "kernel_id": "77398"}, {"ref": "mschou/tensorflow-deep-nn", "kernel_id": "91192"}, {"ref": "lucianolattes/classifying-with-svm-using-polydot-ker", "kernel_id": "7371"}, {"ref": "joseduc/training-data-to-png", "kernel_id": "6657"}, {"ref": "xigwme/digit-recognizer-in-python-using-cnn", "kernel_id": "28534"}, {"ref": "xigwme/notebook-ef1b8aa6d884360af4fb", "kernel_id": "28536"}, {"ref": "muthu4all/recognize-the-number", "kernel_id": "24279"}, {"ref": "alwnlai/tensorflow-deep-nn", "kernel_id": "50278"}, {"ref": "cbryant/the-15-minute-mnist", "kernel_id": "450850"}, {"ref": "yoannn/testd", "kernel_id": "10070"}, {"ref": "aalabort/exploring-digits", "kernel_id": "115649"}, {"ref": "sirorezka/tensorflow-deep-nn", "kernel_id": "40122"}, {"ref": "sirorezka/11kjkjkjk", "kernel_id": "40123"}, {"ref": "ahereza/random-forest-classifier", "kernel_id": "8160"}, {"ref": "hannarud/tensorflow-deep-nn", "kernel_id": "172093"}, {"ref": "ericdoug/tensorflow-deep-nn", "kernel_id": "65579"}, {"ref": "ericdoug/notebook-cbe5a50ff28273b752c7", "kernel_id": "65617"}, {"ref": "qiukun/introduction-to-cnn-keras-0-997-add-bn", "kernel_id": "728904"}, {"ref": "jurel1987/tensorflow-deep-nn", "kernel_id": "121798"}, {"ref": "vlaurenzano/test1", "kernel_id": "67709"}, {"ref": "vlaurenzano/notebook-696dea43dbb2c56684bf", "kernel_id": "67711"}, {"ref": "vlaurenzano/test-random-forest", "kernel_id": "67712"}, {"ref": "vlaurenzano/notebook-dc0a41c2800cd6aac228", "kernel_id": "67713"}, {"ref": "linkanray/svm-apply", "kernel_id": "12991"}, {"ref": "lewisstaples/test1", "kernel_id": "6430"}, {"ref": "kourouklides/mnist-tensorflow", "kernel_id": "379141"}, {"ref": "model4/sel-medicaton-analysis", "kernel_id": "6507"}, {"ref": "model4/honors-award-scheme-british", "kernel_id": "6637"}, {"ref": "model4/k-m-estimator-in-survival-analysis", "kernel_id": "11037"}, {"ref": "model4/iris-dataset", "kernel_id": "69757"}, {"ref": "model4/testing-ggplot2", "kernel_id": "69759"}, {"ref": "siangyanglau/notebook3dd6b02f93", "kernel_id": "90612"}, {"ref": "hugomao/test-mao", "kernel_id": "14432"}, {"ref": "saleh08/notebook72c91c4409", "kernel_id": "110259"}, {"ref": "saleh08/tensorflow-deep-nn", "kernel_id": "110270"}, {"ref": "pankymathur/tensorflow-deep-nn", "kernel_id": "155944"}, {"ref": "shaf02/notebook-2c3b308f9431bb550785", "kernel_id": "35636"}, {"ref": "shaf02/digit-recognizer-in-python-using-cnn", "kernel_id": "35501"}, {"ref": "sreeni/test1w", "kernel_id": "72070"}, {"ref": "piakarski/notebook577625d91e", "kernel_id": "92765"}, {"ref": "piakarski/pervyj-test", "kernel_id": "139122"}, {"ref": "llbehappy/test1", "kernel_id": "22009"}, {"ref": "llbehappy/notebook-2774d3ae1e5e39cb6eec", "kernel_id": "22010"}, {"ref": "pmtempone/notebook-0473ea2dcf61e0281567", "kernel_id": "25379"}, {"ref": "butteronbread/tensorflow-deep-nn", "kernel_id": "88517"}, {"ref": "yayoctokyo/tensorflow-deep-nn", "kernel_id": "256777"}, {"ref": "yayoctokyo/digit-recognizer-in-python-using-cnn", "kernel_id": "256753"}, {"ref": "rebornwwp/notebook66858692dc", "kernel_id": "98033"}, {"ref": "chetkhatri/notebook-bde6318ae37468243587", "kernel_id": "33969"}, {"ref": "chetkhatri/notebook-afb730831523eca67098", "kernel_id": "33970"}, {"ref": "chetkhatri/notebook-1960a86ba68ce7acbefa", "kernel_id": "33974"}, {"ref": "peace195/tensorflow-deep-nn", "kernel_id": "85302"}, {"ref": "fel2data/random-forest-benchmark", "kernel_id": "12735"}, {"ref": "chriszz/my-first-test", "kernel_id": "13256"}, {"ref": "lionelhmessi/first", "kernel_id": "6910"}, {"ref": "lionelhmessi/example-handwritten-digits", "kernel_id": "6912"}, {"ref": "victorama/tensorflow-softmax-regression-deep-nn", "kernel_id": "34916"}, {"ref": "karanb94/knn-from-scratch-in-python-at-97-1", "kernel_id": "102390"}, {"ref": "karanb94/digit", "kernel_id": "89544"}, {"ref": "mrmean/svm-trial", "kernel_id": "210339"}, {"ref": "mrmean/fork-of-a-beginner-s-approach-to-classification", "kernel_id": "208736"}, {"ref": "mrmean/a-beginner-s-approach-to-classification-fork", "kernel_id": "208577"}, {"ref": "freedomcrl/notebook95407b7a80", "kernel_id": "211241"}, {"ref": "freedomcrl/notebook3627e626b9", "kernel_id": "200393"}, {"ref": "lightening0907/logistic-regression", "kernel_id": "48580"}, {"ref": "lightening0907/notebook-6c1bb4f943205853ac89", "kernel_id": "48448"}, {"ref": "quenzo/digit-recognizer-v0", "kernel_id": "6963"}, {"ref": "carande/notebook-b07de88d1b0e883bd2d6", "kernel_id": "71441"}, {"ref": "carande/notebook-057282cdaf9ec022f06e", "kernel_id": "71493"}, {"ref": "carande/notebook-1317d81f58cea29d1ecf", "kernel_id": "71494"}, {"ref": "alexkreimer/notebook-75b5b10c05c923170933", "kernel_id": "61251"}, {"ref": "alexkreimer/notebook-d543f602723d149e4d44", "kernel_id": "61252"}, {"ref": "alexkreimer/notebook-b45e830d4dd15c91333b", "kernel_id": "59979"}, {"ref": "alexkreimer/notebook-b2ad708243527ca0f002", "kernel_id": "59980"}, {"ref": "alexkreimer/notebook-bb33658db2dc04e3f549", "kernel_id": "60073"}, {"ref": "alexkreimer/notebook-e7037ea233b5cfb8ae6d", "kernel_id": "60074"}, {"ref": "alexkreimer/notebook-5371ccf0cd093507e5b6", "kernel_id": "60473"}, {"ref": "alexkreimer/notebook-75cac37c730cd8fbbbe0", "kernel_id": "60474"}, {"ref": "alexkreimer/notebook-2589b3978ac7fad5c572", "kernel_id": "64621"}, {"ref": "alexkreimer/notebook-fac38177fd06d2315b6b", "kernel_id": "64622"}, {"ref": "alexkreimer/tensorflow-deep-nn", "kernel_id": "56097"}, {"ref": "alexkreimer/digit-recognizer-in-python-using-cnn", "kernel_id": "56098"}, {"ref": "alexkreimer/notebook-714481044a978e41084f", "kernel_id": "58282"}, {"ref": "alexkreimer/notebook-41f9e9798b80b63dfb5a", "kernel_id": "58283"}, {"ref": "alexkreimer/notebook-cdcf62e11ed784b69b9c", "kernel_id": "58368"}, {"ref": "alexkreimer/notebook-f9a2148637e2c32b1403", "kernel_id": "58369"}, {"ref": "alexkreimer/notebook-56bbec4afdda0f97fe98", "kernel_id": "58560"}, {"ref": "alexkreimer/notebook-e4a323b7bca3661536af", "kernel_id": "58561"}, {"ref": "brhees/my-first-script", "kernel_id": "10081"}, {"ref": "romainvincent/notebook-863c85e06b34ce28ca4b", "kernel_id": "73930"}, {"ref": "pratapdangeti/notebookfdab4246fc", "kernel_id": "113622"}, {"ref": "vwinnv/convolutional-nn-in-python", "kernel_id": "7119"}, {"ref": "taggle/notebook-0f6771f1a773bc5267d0", "kernel_id": "39082"}, {"ref": "taggle/notebook-402352d46125438637e8", "kernel_id": "39083"}, {"ref": "taggle/notebook-a95970a61d4f875f5c6b", "kernel_id": "38645"}, {"ref": "taggle/tensorflow-deep-nn", "kernel_id": "38515"}, {"ref": "johannawang/notebook32f31d0f1c", "kernel_id": "238849"}, {"ref": "shawnpachgade/digitrecognizer", "kernel_id": "13637"}, {"ref": "chym1009/digitial", "kernel_id": "134042"}, {"ref": "chym1009/notebookd0ed9d2bf5", "kernel_id": "134044"}, {"ref": "lakshayg/lenet-5-in-pytorch", "kernel_id": "268815"}, {"ref": "lakshayg/notebookfeb10666ee", "kernel_id": "261187"}, {"ref": "doobopp/digit-recognition", "kernel_id": "139236"}, {"ref": "doobopp/digits", "kernel_id": "139237"}, {"ref": "supertrombone/testing", "kernel_id": "7265"}, {"ref": "yuriik/first-test", "kernel_id": "18341"}, {"ref": "peymanmorteza/notebookd1be82dd18", "kernel_id": "213043"}, {"ref": "heibankeli/pca-svm1", "kernel_id": "7548"}, {"ref": "heibankeli/pca-knn", "kernel_id": "7527"}, {"ref": "arpangupta87/digit-recognizer-in-python-using-cnn", "kernel_id": "49973"}, {"ref": "arpangupta87/digit-alpha", "kernel_id": "49848"}, {"ref": "arpangupta87/digit-alpha11", "kernel_id": "49852"}, {"ref": "arpangupta87/notebook-003bb375c9c2f6df7fc3", "kernel_id": "51610"}, {"ref": "fireace/digit-recon-py", "kernel_id": "20077"}, {"ref": "icyblade/resnet-using-keras", "kernel_id": "150616"}, {"ref": "seshuthota/tensorflow-deep-nn-10e472d3", "kernel_id": "100276"}, {"ref": "zllake/pca-svm1", "kernel_id": "12219"}, {"ref": "zllake/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "12119"}, {"ref": "rodinal/notebook-1f42b66749684a943bd1", "kernel_id": "46475"}, {"ref": "sarahansenlund/notebook-6456d5b17db1d553ff87", "kernel_id": "46026"}, {"ref": "daij1492/kaggle-mnist-tst-0-0", "kernel_id": "200743"}, {"ref": "daij1492/test1", "kernel_id": "200925"}, {"ref": "daij1492/nb-test3", "kernel_id": "200956"}, {"ref": "zhouyi06/test1", "kernel_id": "7509"}, {"ref": "iyerashwathi/notebookb9a0952b93", "kernel_id": "279826"}, {"ref": "dongjunlee/notebook-a8985f3eb21f9c44a904", "kernel_id": "35907"}, {"ref": "dongjunlee/notebook-7ed9fe4fe60b7aa05a40", "kernel_id": "35908"}, {"ref": "petezhanghan/knn-from-scratch-in-python-at-97-1", "kernel_id": "97669"}, {"ref": "petezhanghan/deep-convolutional-network-using-keras", "kernel_id": "97279"}, {"ref": "petezhanghan/tensorflow-deep-nn", "kernel_id": "97284"}, {"ref": "lutf93/classification-using-logistic-regression", "kernel_id": "313116"}, {"ref": "lutf93/random-forest", "kernel_id": "319227"}, {"ref": "jydsshowcase/random-forest-try", "kernel_id": "13204"}, {"ref": "lucycao1993/simple-deep-mlp-with-keras", "kernel_id": "7614"}, {"ref": "pmadhu/random-forest-example", "kernel_id": "10284"}, {"ref": "laletscaria/digit-recognizer-in-python-using-cnn", "kernel_id": "272445"}, {"ref": "apolitogaga/helloworld", "kernel_id": "7737"}, {"ref": "tehnar/theano-conv-network", "kernel_id": "15670"}, {"ref": "seanlyons/first-script-test", "kernel_id": "18216"}, {"ref": "violinbeats/notebook-4d287ea7020e20785dd3", "kernel_id": "30070"}, {"ref": "kaypark/notebookec2e42b700", "kernel_id": "260162"}, {"ref": "evanchen/notebook-ea79b9a5b841d5cc8ba7", "kernel_id": "61768"}, {"ref": "pgorecki/test1", "kernel_id": "11692"}, {"ref": "ihelos/notebookc2a78f3e2d", "kernel_id": "241111"}, {"ref": "aarondupon/neural-network", "kernel_id": "8093"}, {"ref": "echoo7/knn-from-scratch-in-python-at-97-1", "kernel_id": "98340"}, {"ref": "echoo7/t-sne", "kernel_id": "99129"}, {"ref": "hechaohui/ce-svm", "kernel_id": "16825"}, {"ref": "hechaohui/ce-pca-1", "kernel_id": "16826"}, {"ref": "hechaohui/ce-rf-2", "kernel_id": "16827"}, {"ref": "hechaohui/ce-feature", "kernel_id": "17524"}, {"ref": "zihaozhang92/digit-recognizer-in-python-using-cnn", "kernel_id": "169546"}, {"ref": "erichansen/title", "kernel_id": "109658"}, {"ref": "luojie2211/notebook-3325a357738de2a47272", "kernel_id": "50761"}, {"ref": "luojie2211/notebook-1a0344f5d719a233a8db", "kernel_id": "50762"}, {"ref": "seemsharma/notebook-f544c1d57ab8c84c9512", "kernel_id": "37967"}, {"ref": "seemsharma/entry1", "kernel_id": "37968"}, {"ref": "honkeechan/digit-recognition", "kernel_id": "48286"}, {"ref": "vadimmalykh/notebook-a64dbeb8527a338da0b8", "kernel_id": "58238"}, {"ref": "vadimmalykh/notebook-0d034d52023dfaec63eb", "kernel_id": "58234"}, {"ref": "vadimmalykh/softmax-regression-with-r", "kernel_id": "56798"}, {"ref": "atlantic/notebook-d16d5b07e2303863448a", "kernel_id": "32823"}, {"ref": "atlantic/notebook-4b3f9f526f5ecfb1bb9a", "kernel_id": "32824"}, {"ref": "mikhelhawkins/firstscript", "kernel_id": "38074"}, {"ref": "jameshirschorn/example-handwritten-digits", "kernel_id": "58543"}, {"ref": "arthchan2003/tensorflow-deep-nn", "kernel_id": "67391"}, {"ref": "frankhan91/example-handwritten-digits", "kernel_id": "8582"}, {"ref": "little7/notebook08722c1b40", "kernel_id": "205424"}, {"ref": "rickyhennessy/notebook909895d9a7", "kernel_id": "193391"}, {"ref": "rickyhennessy/cnn-on-keras-w-tensorflow-backend-0-98600", "kernel_id": "193401"}, {"ref": "jolinxql/test1", "kernel_id": "19296"}, {"ref": "sylvialee/notebook-ee8cc728d325b417e0fb", "kernel_id": "60312"}, {"ref": "unlikelybutpossible/digit-recognizer-in-python-using-cnn", "kernel_id": "176342"}, {"ref": "venuraja79/convwithkeras", "kernel_id": "326927"}, {"ref": "venuraja79/using-transfer-learning-with-keras", "kernel_id": "328110"}, {"ref": "johnxllis/notebook-7aada6ad5e76cf287f79", "kernel_id": "29412"}, {"ref": "johnxllis/notebook-4fa467c2b6e19a81e0ad", "kernel_id": "29413"}, {"ref": "jj7353/atest", "kernel_id": "9847"}, {"ref": "dotbet/drecogn", "kernel_id": "9876"}, {"ref": "gcasier/gepruts", "kernel_id": "9932"}, {"ref": "gcasier/pca-test", "kernel_id": "10047"}, {"ref": "gcasier/pca-knn", "kernel_id": "10409"}, {"ref": "gcasier/svm-test", "kernel_id": "10407"}, {"ref": "gcasier/svm-test2", "kernel_id": "13660"}, {"ref": "gcasier/feature-selection-1", "kernel_id": "13488"}, {"ref": "gcasier/pca-test2", "kernel_id": "13500"}, {"ref": "tkzw21/mnist", "kernel_id": "238748"}, {"ref": "vlodsofinskyy/first-try", "kernel_id": "11406"}, {"ref": "bigbiglv/notebook-daeb57c8d8e181206a16", "kernel_id": "45848"}, {"ref": "xiongqiangcs/svm-40", "kernel_id": "23422"}, {"ref": "xiongqiangcs/digit-recognizer-in-python-using-cnn", "kernel_id": "26500"}, {"ref": "richardgeorge/hellokaggle", "kernel_id": "72295"}, {"ref": "digitalmage/test-script", "kernel_id": "10210"}, {"ref": "indigan/trial", "kernel_id": "24102"}, {"ref": "deneb84/my-test-on-digit-recog", "kernel_id": "226012"}, {"ref": "weicong/digit-recognizer", "kernel_id": "10315"}, {"ref": "sol2man2/roaming", "kernel_id": "17006"}, {"ref": "sol2man2/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "14043"}, {"ref": "vikotse/notebook-c79c3eae1812247bc890", "kernel_id": "32989"}, {"ref": "vikotse/notebook-2c1c775500f1e77321e0", "kernel_id": "33087"}, {"ref": "vikotse/notebook-a62d05f6b388539ac8f8", "kernel_id": "33088"}, {"ref": "xiaoa6435/tensorflow-deep-nn", "kernel_id": "65892"}, {"ref": "arsaboo/random-forest-example", "kernel_id": "10309"}, {"ref": "charleswuyy/knn4digitrecognition", "kernel_id": "17162"}, {"ref": "kethoan/dedededede", "kernel_id": "10425"}, {"ref": "oewoew/digit-recognizer-in-python-using-cnn", "kernel_id": "45315"}, {"ref": "oewoew/notebook-17eee8b9db401824309f", "kernel_id": "45386"}, {"ref": "teichou/digit-recognizer-script", "kernel_id": "10590"}, {"ref": "dagoth/dig-pand-pca-svm", "kernel_id": "16586"}, {"ref": "janpeter/stacked-models-knn-svc-rf-with-pca", "kernel_id": "578548"}, {"ref": "jethard/tensorflow-deep-nn", "kernel_id": "87462"}, {"ref": "jethard/tensorflow-deep-nn-2f962d98", "kernel_id": "87463"}, {"ref": "martin0327/notebook-faacfe566f5ef17425ed", "kernel_id": "30505"}, {"ref": "maxmario/test1", "kernel_id": "10791"}, {"ref": "pablocastilla/tflearn-digit-recognizer", "kernel_id": "184549"}, {"ref": "pablocastilla/tensorflow-digit-recognizer", "kernel_id": "196871"}, {"ref": "pablocastilla/digit-recognizer-with-tflearn", "kernel_id": "183326"}, {"ref": "balajibi/balaji-digit-solution", "kernel_id": "28982"}, {"ref": "qingchunbuyanbai/hubing", "kernel_id": "11093"}, {"ref": "awmcc90/testing-numbers", "kernel_id": "12723"}, {"ref": "awmcc90/draw-image", "kernel_id": "12728"}, {"ref": "echo88/tensorflow-deep-nn", "kernel_id": "99419"}, {"ref": "shivsood/notebook1c7776ca1b", "kernel_id": "237961"}, {"ref": "djobey/mnist-svm", "kernel_id": "298633"}, {"ref": "dc4data/notebook44a1fa8267", "kernel_id": "138113"}, {"ref": "dc4data/digit-reco-random-forest", "kernel_id": "137447"}, {"ref": "dc4data/digit-recognizer-1-r", "kernel_id": "264005"}, {"ref": "dc4data/digit-recognizer-in-python-using-cnn", "kernel_id": "264010"}, {"ref": "korriliam/notebook12e95c192a", "kernel_id": "164476"}, {"ref": "gonzarodri/tensorflow-deep-nn", "kernel_id": "84437"}, {"ref": "genuinelazarus/digital", "kernel_id": "41403"}, {"ref": "xsanchez/test-digit-recognition", "kernel_id": "11999"}, {"ref": "hangzhang98/notebook-e650a8eee96171acaf0e", "kernel_id": "68961"}, {"ref": "hangzhang98/tensorflow-deep-nn", "kernel_id": "68383"}, {"ref": "hangzhang98/notebook-985a56afe73480d6416f", "kernel_id": "68389"}, {"ref": "hangzhang98/notebook-b889ca654453f6ced13b", "kernel_id": "68390"}, {"ref": "vlsarro/tensorflow-deep-nn", "kernel_id": "39119"}, {"ref": "ccressent/mnist-digits", "kernel_id": "239439"}, {"ref": "tony31/prueba", "kernel_id": "16289"}, {"ref": "shubvyas/tensorflow-deep-nn", "kernel_id": "149382"}, {"ref": "alexandresayal/first", "kernel_id": "117390"}, {"ref": "prestonh/notebook-3380a47a48b1d5dcac87", "kernel_id": "28913"}, {"ref": "andersonmg/myscript", "kernel_id": "70911"}, {"ref": "andersonmg/first-r-script", "kernel_id": "70913"}, {"ref": "andersonmg/my-file", "kernel_id": "12084"}, {"ref": "sidsriv1/notebook-aa5259765e8f5c511edc", "kernel_id": "51129"}, {"ref": "reddy4frnds/red-v1", "kernel_id": "12041"}, {"ref": "marcnarath/tensorflow-deep-nn", "kernel_id": "69029"}, {"ref": "mrchill/mydigit", "kernel_id": "16964"}, {"ref": "sebi12/a-beginner-s-approach-to-classification", "kernel_id": "269906"}, {"ref": "yobabe/knn-from-scratch-in-python-at-97-1", "kernel_id": "82499"}, {"ref": "yobabe/notebook7953355b04", "kernel_id": "98540"}, {"ref": "kochuk/graph-svm-pca-accuracy", "kernel_id": "18728"}, {"ref": "roundy/roundy-first-test", "kernel_id": "40115"}, {"ref": "jefferychen/tensorflow-softmax-regression-deep-nn", "kernel_id": "29782"}, {"ref": "tcw176/tensorflow-deep-nn", "kernel_id": "57560"}, {"ref": "tcw176/tensorflow", "kernel_id": "57571"}, {"ref": "tcw176/notebook-c8b721cf9607ea4f0cde", "kernel_id": "57563"}, {"ref": "tcw176/notebook-7b15b0eeb936763c309b", "kernel_id": "57574"}, {"ref": "tcw176/deepnn", "kernel_id": "57575"}, {"ref": "sanjid25/linear-model", "kernel_id": "119759"}, {"ref": "drakeberglund/testing-existing-code", "kernel_id": "14948"}, {"ref": "lbronchal/notebookbc82bc7bdc", "kernel_id": "242049"}, {"ref": "sriraghu/notebook-8bc68f492103ae707beb", "kernel_id": "27605"}, {"ref": "alaaawad/mnist-convnet", "kernel_id": "97040"}, {"ref": "alaaawad/sklearn-classifiers", "kernel_id": "97038"}, {"ref": "alaaawad/notebook-71b304c922bebdbb6426", "kernel_id": "49826"}, {"ref": "alaaawad/notebook-1c8737a7ade9c9bea5f1", "kernel_id": "49827"}, {"ref": "alaaawad/notebook-68b50fc6a3502f4c47ab", "kernel_id": "49562"}, {"ref": "alaaawad/notebook-546ce026dd0d5a2a2064", "kernel_id": "49568"}, {"ref": "alaaawad/tensor-theano", "kernel_id": "49551"}, {"ref": "alaaawad/julia-digit-recognizer", "kernel_id": "49537"}, {"ref": "alaaawad/notebook-bd1a806359c8dfc12efc", "kernel_id": "49542"}, {"ref": "alaaawad/notebook-b20e772db4a79aef5796", "kernel_id": "49543"}, {"ref": "alaaawad/notebook-6993cf292d88a86500ba", "kernel_id": "49544"}, {"ref": "alaaawad/notebook-7d30ca229f64f8effed5", "kernel_id": "49545"}, {"ref": "alaaawad/convolution-neural-net-with-nolearn", "kernel_id": "49546"}, {"ref": "alaaawad/dcgan-on-mnist-using-keras", "kernel_id": "467708"}, {"ref": "nipunsadvilkar/notebook-7cbd561f1cdc28db5c09", "kernel_id": "36683"}, {"ref": "bharring/testing", "kernel_id": "13093"}, {"ref": "bharring/example-handwritten-digits", "kernel_id": "13164"}, {"ref": "bakman329/tensorflow-neural-network", "kernel_id": "128996"}, {"ref": "zoegreen/notebook-4508a6a809e7ef136b70", "kernel_id": "30243"}, {"ref": "xdataminer/test-script", "kernel_id": "17701"}, {"ref": "janpreets/tensorflow-deep-nn", "kernel_id": "161312"}, {"ref": "divijwadhawan/digit-recog-dj-soln", "kernel_id": "164268"}, {"ref": "mitulshah/notebook-69c738616a37e98adc51", "kernel_id": "40439"}, {"ref": "dorukarda/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "13225"}, {"ref": "gksharma008/script-for-predicting-digits", "kernel_id": "43116"}, {"ref": "sdoyen/notebooke4cda9557d", "kernel_id": "137696"}, {"ref": "wittykitty/trying-out-svm", "kernel_id": "122239"}, {"ref": "bharathch/digit-recognizer", "kernel_id": "120846"}, {"ref": "shrikeler/notebook267b13c56b", "kernel_id": "187397"}, {"ref": "shrikeler/really-simple-tf-contrib-learn-score-0-98029", "kernel_id": "187398"}, {"ref": "miketibb/digit-recognizer-in-python-using-cnn", "kernel_id": "79822"}, {"ref": "ztervic/digit", "kernel_id": "97516"}, {"ref": "minhoolee/notebook88e9b6b561", "kernel_id": "93249"}, {"ref": "tigerhuangyuhao/notebooka9b4e5c312", "kernel_id": "129688"}, {"ref": "sannysanoff/tensorflow-deep-nn", "kernel_id": "106965"}, {"ref": "labaznov/ufik-test", "kernel_id": "58354"}, {"ref": "apapiu/1-layer-perceptron", "kernel_id": "99940"}, {"ref": "apapiu/fork-of-1-layer-perceptron", "kernel_id": "101076"}, {"ref": "apapiu/notebook7d10234921", "kernel_id": "101147"}, {"ref": "apapiu/t-sne", "kernel_id": "96837"}, {"ref": "apapiu/notebook8b43835fa4", "kernel_id": "102799"}, {"ref": "apapiu/conv-net-on-only-2-features", "kernel_id": "150250"}, {"ref": "apapiu/manifold-learning-autoencoders-fashion-version", "kernel_id": "147822"}, {"ref": "kirs93/test-example-456", "kernel_id": "13781"}, {"ref": "chandan2495/mnist", "kernel_id": "270664"}, {"ref": "crazycoder/notebook6132873eaf", "kernel_id": "116426"}, {"ref": "minerado/jjhjkjhk", "kernel_id": "34430"}, {"ref": "ldiperna/notebookb9d837c2dc", "kernel_id": "132197"}, {"ref": "aliu0x/digits", "kernel_id": "20974"}, {"ref": "karangoel16/tensorflow-deep-nn", "kernel_id": "165497"}, {"ref": "karangoel16/knn-from-scratch-in-python-at-97-1", "kernel_id": "165494"}, {"ref": "karangoel16/cnn-distortions", "kernel_id": "189443"}, {"ref": "karangoel16/notebookedc3d440c4", "kernel_id": "189431"}, {"ref": "karangoel16/tenorsflow", "kernel_id": "189432"}, {"ref": "layefaye/tensorflow-deep-nn", "kernel_id": "180834"}, {"ref": "towhid1/notebook-026e2b37bc5c34db4156", "kernel_id": "59883"}, {"ref": "towhid1/notebook2413db9cd6", "kernel_id": "114404"}, {"ref": "towhid1/notebook2cf17076f8", "kernel_id": "113341"}, {"ref": "towhid1/simple-convolutional-nueral-network-keras", "kernel_id": "159817"}, {"ref": "towhid1/practice", "kernel_id": "256593"}, {"ref": "beauty/notebook-4d78f05486625ce4fab6", "kernel_id": "33458"}, {"ref": "beauty/digit-recognizer-python", "kernel_id": "33459"}, {"ref": "carlosaguayo/hellomnist", "kernel_id": "76735"}, {"ref": "carlosaguayo/introduction-to-neural-networks", "kernel_id": "530740"}, {"ref": "carlosaguayo/introduction-to-deep-learning", "kernel_id": "615006"}, {"ref": "billzheng/notebook-a6b0efc8de6dea17b2d5", "kernel_id": "29007"}, {"ref": "billzheng/mnist-bill", "kernel_id": "28998"}, {"ref": "liuziyi/12345aaa", "kernel_id": "63288"}, {"ref": "hawkcoder/test1", "kernel_id": "14508"}, {"ref": "creatnx/tensorflow-deep-nn", "kernel_id": "142786"}, {"ref": "xwzy66/notebooka15a200c10", "kernel_id": "136543"}, {"ref": "dajose/randomforest-preprocessing-prediction", "kernel_id": "15947"}, {"ref": "dajose/lda-with-pre-processing-prediction", "kernel_id": "15940"}, {"ref": "muditrastogi/knn-from-scratch-in-python-at-97-1", "kernel_id": "79755"}, {"ref": "muditrastogi/mnist-datasets-with-deep-learning-using-keras", "kernel_id": "232551"}, {"ref": "yiyang186/notebook-ff85cf57800473f6c4be", "kernel_id": "44344"}, {"ref": "cgnicholls/convnet-mnist", "kernel_id": "180398"}, {"ref": "cgnicholls/neural-network-1", "kernel_id": "180063"}, {"ref": "nickcdryan/notebook-93627f1c70ea33272dcf", "kernel_id": "22750"}, {"ref": "bestaar/my-first-kernel", "kernel_id": "139215"}, {"ref": "clarkchen/notebook-79d3bbc006cdc783d34b", "kernel_id": "63444"}, {"ref": "arman2/tensorflow-deep-nn", "kernel_id": "38314"}, {"ref": "arman2/notebook-fb8b32532fca130a0726", "kernel_id": "38315"}, {"ref": "arman2/notebook-2c2280581c255601d7cf", "kernel_id": "38316"}, {"ref": "arman2/notebook-49a0cdd45e7ba394244e", "kernel_id": "38325"}, {"ref": "arman2/notebook-ab3d4193ee58da46696d", "kernel_id": "38326"}, {"ref": "arman2/notebook-2037deae38c7543e019c", "kernel_id": "38321"}, {"ref": "arman2/notebook-cdeba9f936aa762679db", "kernel_id": "38322"}, {"ref": "nikotian22/notebook-a47438013c10133cd959", "kernel_id": "23106"}, {"ref": "brunoadonis/my-first-cnn-in-keras-fork-raven-hon-acc-0-9881", "kernel_id": "720094"}, {"ref": "mshankarrao/cnnlas", "kernel_id": "61646"}, {"ref": "mshankarrao/svmpca-0-8-rbf", "kernel_id": "61669"}, {"ref": "mshankarrao/pcasvm", "kernel_id": "61666"}, {"ref": "navaneesh/notebook1111651bb4", "kernel_id": "280392"}, {"ref": "mekhlos/notebook-2d8b7e195b7f6f14d817", "kernel_id": "65430"}, {"ref": "siddhupagadala/notebook61cfa179c6", "kernel_id": "267498"}, {"ref": "pramods/lets-plot-the-digits", "kernel_id": "17146"}, {"ref": "jperezmacias/digits", "kernel_id": "15399"}, {"ref": "earthairpondbeam2/goodenough-1", "kernel_id": "50790"}, {"ref": "earthairpondbeam2/airrrr", "kernel_id": "55046"}, {"ref": "varchela/testo", "kernel_id": "15564"}, {"ref": "farzadab/randomforest-python-test", "kernel_id": "16019"}, {"ref": "farzadab/rbm-python-test", "kernel_id": "16024"}, {"ref": "antipartikll/digit-recognizer-in-python-using-cnn", "kernel_id": "97645"}, {"ref": "kmok23/notebook0dc6c9f795", "kernel_id": "117974"}, {"ref": "chenchaodev/20160719-tf", "kernel_id": "79875"}, {"ref": "chenchaodev/notebook-6984573388d06d737f44", "kernel_id": "79876"}, {"ref": "chenchaodev/notebook-277b4508c258f1141d34", "kernel_id": "79877"}, {"ref": "adityarkas/random-forest-benchmark", "kernel_id": "15856"}, {"ref": "gtkafka/writtendigitrec", "kernel_id": "15875"}, {"ref": "pistak/notebook-a3dedbb9cd62f53c95d1", "kernel_id": "70998"}, {"ref": "pistak/simple-rf-script", "kernel_id": "70999"}, {"ref": "gwwang/notebook38b2470554", "kernel_id": "230756"}, {"ref": "gwwang/keras-cnn-with-over-99-accuracy-ecf3ae", "kernel_id": "230757"}, {"ref": "gwwang/keras-cnn-with-over-99-accuracy", "kernel_id": "230730"}, {"ref": "charleslu/tensorflow-deep-nn", "kernel_id": "96053"}, {"ref": "jak131/tensorflow-deep-nn", "kernel_id": "88419"}, {"ref": "zhangshengshan/notebook-f77994f674bc0464096b", "kernel_id": "75648"}, {"ref": "forestj/randomforest-feature-importance-plot", "kernel_id": "31742"}, {"ref": "m00nd00r/simple-perceptron-classifier", "kernel_id": "52932"}, {"ref": "arun73/tensorflow-deep-nn", "kernel_id": "40738"}, {"ref": "jmfisher/notebook3667049c2b", "kernel_id": "102562"}, {"ref": "jmfisher/notebook9f38c1bbae", "kernel_id": "102589"}, {"ref": "kcreddy/cnn-keras", "kernel_id": "61637"}, {"ref": "kcreddy/cnntry2", "kernel_id": "61701"}, {"ref": "lukaskoucky/randomforest-of-tree-and-accuracy", "kernel_id": "16086"}, {"ref": "mohanpb/notebook-40cc924ad8dd2ea92e3b", "kernel_id": "60089"}, {"ref": "rrbb014/notebook8145e61c49", "kernel_id": "99203"}, {"ref": "arnabmy/mnist-using-keras", "kernel_id": "656335"}, {"ref": "parthamishra1996/digit-rec", "kernel_id": "106835"}, {"ref": "parthamishra1996/digit", "kernel_id": "106850"}, {"ref": "lonerangervj/notebook-2e066b624a0331115ac1", "kernel_id": "74597"}, {"ref": "pygosceles/digit-recognizer-in-python-using-cnn", "kernel_id": "72946"}, {"ref": "pygosceles/tensorflow-deep-nn", "kernel_id": "72947"}, {"ref": "pygosceles/notebook-b25a774bb4f10aff0732", "kernel_id": "72948"}, {"ref": "pygosceles/notebook-b5d5809d2c9be8565fb5", "kernel_id": "72950"}, {"ref": "pygosceles/notebook-8e2b0b0e51aa68ab5e9a", "kernel_id": "72951"}, {"ref": "pygosceles/notebook-2be448bc7dffc9ef602a", "kernel_id": "72952"}, {"ref": "pygosceles/notebook-a099628e476fe675ab3e", "kernel_id": "73687"}, {"ref": "hanjack/notebook-a02abd0e3c020bb031cc", "kernel_id": "48277"}, {"ref": "hanjack/notebook-ce00ad4b369305bc2128", "kernel_id": "48278"}, {"ref": "hanjack/notebook-342364eb92a88e9dc9cb", "kernel_id": "50629"}, {"ref": "manuraj/digitrecog", "kernel_id": "80123"}, {"ref": "gauravjain/notebooka8f01c3527", "kernel_id": "192715"}, {"ref": "yuxishen/r-test", "kernel_id": "16381"}, {"ref": "yuxishen/testrun", "kernel_id": "17128"}, {"ref": "maddynit/wepo-s-code-for-mnist", "kernel_id": "252198"}, {"ref": "maddynit/bfggfg", "kernel_id": "149808"}, {"ref": "maddynit/cccccvfg", "kernel_id": "152354"}, {"ref": "maddynit/mmmmmmmmmmm", "kernel_id": "94655"}, {"ref": "maddynit/bmnnnnnmmmn", "kernel_id": "94682"}, {"ref": "maddynit/bbbbbbbbbbbbbb", "kernel_id": "95207"}, {"ref": "maddynit/xxxxxxxxxx", "kernel_id": "95209"}, {"ref": "maddynit/ffffffffff", "kernel_id": "95220"}, {"ref": "maddynit/000000000000-1", "kernel_id": "90987"}, {"ref": "maddynit/ooooooooooo", "kernel_id": "90961"}, {"ref": "maddynit/0000000000-1", "kernel_id": "91221"}, {"ref": "maddynit/mmmmmmmmmmmm", "kernel_id": "91299"}, {"ref": "maddynit/ffffffffffffffffff", "kernel_id": "96478"}, {"ref": "maddynit/nnbbbbnnbnbnb", "kernel_id": "96481"}, {"ref": "maddynit/111111-1", "kernel_id": "96177"}, {"ref": "maddynit/vvvvvvvvvvvvv", "kernel_id": "95481"}, {"ref": "maddynit/maddy-1", "kernel_id": "100626"}, {"ref": "srauan205/digit-recognising-task", "kernel_id": "97485"}, {"ref": "automactic/testrun", "kernel_id": "16460"}, {"ref": "saremu/saremu", "kernel_id": "123827"}, {"ref": "victorzhang/tensorflow-deep-nn", "kernel_id": "50284"}, {"ref": "victorzhang/notebook-c3f330822c27c480fb78", "kernel_id": "50285"}, {"ref": "victorzhang/myfirstsvm", "kernel_id": "22841"}, {"ref": "victorzhang/notebook-f6f0e49127f5d68bb5b7", "kernel_id": "26313"}, {"ref": "victorzhang/zzzzzzzzzzzz", "kernel_id": "26314"}, {"ref": "victorzhang/pca-knn-with-r", "kernel_id": "16582"}, {"ref": "buntyke/classification-of-mnist-dataset-using-keras", "kernel_id": "320990"}, {"ref": "jayr110/tensorflow-softmax-regression-deep-nn", "kernel_id": "34221"}, {"ref": "jayr110/notebook-644c0abcb9d9c98c9473", "kernel_id": "34222"}, {"ref": "jayr110/notebook-7f14080f0bbc436b7abd", "kernel_id": "34223"}, {"ref": "seryog/first", "kernel_id": "18732"}, {"ref": "harshav/hvscript", "kernel_id": "16671"}, {"ref": "clowntoe/figure-figures", "kernel_id": "17883"}, {"ref": "hellorahulk/tensorflow-softmax-regression-deep-nn", "kernel_id": "30288"}, {"ref": "eddietheeagle/notebook-8b85fa7f49e367f5f3fb", "kernel_id": "32655"}, {"ref": "mazelx/nn-digits-classifier", "kernel_id": "121722"}, {"ref": "mariogs/notebook-0f434d577a9f38ea0d03", "kernel_id": "38946"}, {"ref": "rkadam21/simple-nearest-centroidal-classifier", "kernel_id": "400460"}, {"ref": "brooks/notebook5ff39c3a72", "kernel_id": "101795"}, {"ref": "brooks/tensorflow-deep-nn", "kernel_id": "101801"}, {"ref": "angelalily/hello", "kernel_id": "16854"}, {"ref": "angelalily/notebook-7682ae871cca2a228979", "kernel_id": "27402"}, {"ref": "angelalily/test1203", "kernel_id": "27403"}, {"ref": "angelalily/project", "kernel_id": "23370"}, {"ref": "angelalily/random", "kernel_id": "73438"}, {"ref": "snbhanja/mnist-keras", "kernel_id": "202850"}, {"ref": "vinayakumar/tensorflow-deep-nn", "kernel_id": "44632"}, {"ref": "podro182/notebook-ccab9267b7ad60fd3443", "kernel_id": "39832"}, {"ref": "kamidox/knn-from-scikit-learn", "kernel_id": "204164"}, {"ref": "kamidox/knn-from-scikit-learn-my-first-kernel", "kernel_id": "204395"}, {"ref": "ioriiod0/notebook-e55ec34f3913af4cc553", "kernel_id": "39659"}, {"ref": "ioriiod0/notebook-d40930dc8a8b893fb314", "kernel_id": "39621"}, {"ref": "ioriiod0/notebook-56095e003dd11347ecbb", "kernel_id": "39651"}, {"ref": "ioriiod0/keras", "kernel_id": "39653"}, {"ref": "ioriiod0/tensorflow-deep-nn", "kernel_id": "39638"}, {"ref": "ioriiod0/notebook-0fa1f8e6b478b01be677", "kernel_id": "39640"}, {"ref": "ioriiod0/notebook-ee3cadc6d0cb1088539b", "kernel_id": "39641"}, {"ref": "ioriiod0/notebook-4cfaee488e3856f9d1f0", "kernel_id": "39642"}, {"ref": "ioriiod0/digit-recognizer-by-minimum-norm", "kernel_id": "39643"}, {"ref": "damdamy/digitrecognizer-v1", "kernel_id": "19301"}, {"ref": "damdamy/digitrecognizer-pca-svm-py", "kernel_id": "19302"}, {"ref": "tunguz/pca-svm1", "kernel_id": "18064"}, {"ref": "jayzen/simple-deep-mlp-with-keras", "kernel_id": "18266"}, {"ref": "madsbuch/tester", "kernel_id": "17521"}, {"ref": "gupta17anukriti/notebook33b037b65b", "kernel_id": "254724"}, {"ref": "milanbala/digits-recognizer-softmax", "kernel_id": "79592"}, {"ref": "jcpreddy/notebook-1cf09d01152a821c8237", "kernel_id": "61358"}, {"ref": "jcpreddy/trail", "kernel_id": "61360"}, {"ref": "racheljoyf/test123", "kernel_id": "22884"}, {"ref": "jyyeli/stochastic-svm-in-primal", "kernel_id": "141222"}, {"ref": "jyyeli/stochastic-1-vs-1-svms", "kernel_id": "141912"}, {"ref": "esmat54/notebook-1f10eb1d17fa3c1ef846", "kernel_id": "30248"}, {"ref": "esmat54/notebook-d63a889854083ec28c8c", "kernel_id": "32113"}, {"ref": "sbeck27/print-image-of-number-as-a-matrix-to-vitualize", "kernel_id": "126766"}, {"ref": "czxrrr/tensorflow-convolutional-neural-network", "kernel_id": "179986"}, {"ref": "code0100fun/mnist-tensorflow-linear", "kernel_id": "120318"}, {"ref": "code0100fun/mnist-with-cnn-0-99157-score", "kernel_id": "120257"}, {"ref": "pnipun/first", "kernel_id": "22541"}, {"ref": "badal16/hello", "kernel_id": "23020"}, {"ref": "xtremboot22/notebook-8f2dc3feb3d6ded72cf7", "kernel_id": "22297"}, {"ref": "generaviles/notebook-2d0a7500370fac737dbc", "kernel_id": "25616"}, {"ref": "tedkim/tensorflow-deep-nn", "kernel_id": "118626"}, {"ref": "ypscut/test2", "kernel_id": "23420"}, {"ref": "ypscut/test1", "kernel_id": "17823"}, {"ref": "ypscut/digit", "kernel_id": "17819"}, {"ref": "ypscut/digit1", "kernel_id": "17820"}, {"ref": "sarome/random-forest-pca-94-accuracy", "kernel_id": "17583"}, {"ref": "ahujack/test-for-theano", "kernel_id": "17594"}, {"ref": "ahujack/test-for-plt", "kernel_id": "17597"}, {"ref": "ahujack/code-for-love", "kernel_id": "18249"}, {"ref": "jeffng/test1", "kernel_id": "24312"}, {"ref": "ganliu/datapreview-1", "kernel_id": "80728"}, {"ref": "ganliu/notebook-40c1ccc38fafc83ef050", "kernel_id": "80729"}, {"ref": "ganliu/datapreview2", "kernel_id": "80730"}, {"ref": "ceyhun/example-handwritten-digits", "kernel_id": "17639"}, {"ref": "ceyhun/recognize-digits", "kernel_id": "17653"}, {"ref": "mindful/vgg-like-keras-sequential-model", "kernel_id": "242416"}, {"ref": "dualphase/t-sne", "kernel_id": "109505"}, {"ref": "awangntu/pixel-mean-and-variances-by-digit", "kernel_id": "61530"}, {"ref": "awangntu/notebook-e13de317885ba428f3fa", "kernel_id": "61524"}, {"ref": "awangntu/installed-r-packages", "kernel_id": "61525"}, {"ref": "awangntu/digithandwriting", "kernel_id": "61526"}, {"ref": "santiagoaso/notebook-c6487a55476d9f877d36", "kernel_id": "67413"}, {"ref": "santiagoaso/santiago-aso", "kernel_id": "51746"}, {"ref": "santiagoaso/notebook-6465e60433527a603203", "kernel_id": "51749"}, {"ref": "santiagoaso/santi", "kernel_id": "51751"}, {"ref": "tahinsyed/tensorflow-deep-nn", "kernel_id": "67946"}, {"ref": "tahinsyed/notebook-f1d27b5986d537ca8f59", "kernel_id": "68213"}, {"ref": "yaochi/test-input", "kernel_id": "18437"}, {"ref": "yaochi/firsts", "kernel_id": "31538"}, {"ref": "yaochi/first", "kernel_id": "31494"}, {"ref": "qizhou1888/1888zhouqi", "kernel_id": "17878"}, {"ref": "aanchal204/digitrec", "kernel_id": "120469"}, {"ref": "daronayer/notebook-32fbf0b7ad247ac8e04b", "kernel_id": "23880"}, {"ref": "daronayer/notebook-a21556e3a62738b542f3", "kernel_id": "23881"}, {"ref": "daronayer/random-forest-benchmark", "kernel_id": "23901"}, {"ref": "adrianyi/notebook-9ce00152f3aa55e8f7e5", "kernel_id": "23687"}, {"ref": "ourteam/notebook-82c1269391d6b086c586", "kernel_id": "27657"}, {"ref": "michaelfan/mnist-tensorflow-lr", "kernel_id": "255191"}, {"ref": "jparchure/random-forest-benchmark", "kernel_id": "109582"}, {"ref": "rajvaidyanathan/notebookd25c5f6594", "kernel_id": "226576"}, {"ref": "weaponhe/test1", "kernel_id": "18103"}, {"ref": "xinglu727/notebook-1454c0f63fabfa593a50", "kernel_id": "56292"}, {"ref": "olhacher/minimum-distance-classifier", "kernel_id": "162760"}, {"ref": "olhacher/multinomial-logit-with-gradient-descent", "kernel_id": "154985"}, {"ref": "huili0140/pca-knn-with-r", "kernel_id": "22700"}, {"ref": "huili0140/gradient-boost-model", "kernel_id": "22613"}, {"ref": "huili0140/random-forest-2", "kernel_id": "22609"}, {"ref": "kaxilnaik/digit-recognizer-rhul-in-python", "kernel_id": "35020"}, {"ref": "kaxilnaik/notebook-e6c9a44b7dd469d5f570", "kernel_id": "34923"}, {"ref": "kaxilnaik/notebook-d4217b387e20df279b7a", "kernel_id": "34924"}, {"ref": "kaxilnaik/notebook-3ee29559af3ab9a38112", "kernel_id": "34926"}, {"ref": "kaxilnaik/notebook-842a40a32020331097ff", "kernel_id": "34927"}, {"ref": "kaxilnaik/notebook-6b58a7d78d624ca869ac", "kernel_id": "34908"}, {"ref": "jwhpryor/numberrecognitionscript", "kernel_id": "18072"}, {"ref": "bharathiitm/digit-reco", "kernel_id": "18442"}, {"ref": "jimmyjune/simple-perceptron-classifier", "kernel_id": "75761"}, {"ref": "jintgeorge/notebook40a4a5dbdf", "kernel_id": "202757"}, {"ref": "yyao12/tensorflow-deep-nn", "kernel_id": "54097"}, {"ref": "abi1024/notebook-8b34b4e07d2b1dc5a1e4", "kernel_id": "73235"}, {"ref": "ramzes2/digit-recognizer", "kernel_id": "170722"}, {"ref": "joydeep29/tsne-supervisedlearning-samplepoc", "kernel_id": "982365"}, {"ref": "rishim/installed-r-packages", "kernel_id": "110939"}, {"ref": "gaborsomogyi/testing", "kernel_id": "18284"}, {"ref": "vaerek/notebook-76fc5f4768fff475733a", "kernel_id": "68392"}, {"ref": "vaerek/notebook-825f8558da5d774629b7", "kernel_id": "68393"}, {"ref": "vaerek/notebook-65a2f3e957f9e99136b0", "kernel_id": "68394"}, {"ref": "vaerek/notebook-edbbcc9a6e9a75f0628d", "kernel_id": "68827"}, {"ref": "valerydanilik/notebookfae10df589", "kernel_id": "135622"}, {"ref": "valerydanilik/digit-recognizer-first-steps", "kernel_id": "135297"}, {"ref": "valerydanilik/number-recognition-first-try", "kernel_id": "135273"}, {"ref": "valerydanilik/notebook6d46f0a728", "kernel_id": "135251"}, {"ref": "valerydanilik/digit-recognizer-in-python-using-cnn", "kernel_id": "135249"}, {"ref": "moriano/mnist-with-keras-simple-neural-networks", "kernel_id": "524745"}, {"ref": "vekapex/codelo-digital-recognizer-0-001", "kernel_id": "18885"}, {"ref": "vekapex/try-sklearn", "kernel_id": "20104"}, {"ref": "tanujbhatia/python-attempt-1", "kernel_id": "55898"}, {"ref": "sw1v3l/notebook-7b832b6771ac5eb48dcd", "kernel_id": "47513"}, {"ref": "isosnovik/notebookb27d7ae884", "kernel_id": "88324"}, {"ref": "isosnovik/notebook66c6f94e85", "kernel_id": "88326"}, {"ref": "isosnovik/mnist", "kernel_id": "88327"}, {"ref": "isosnovik/notebook641457ab53", "kernel_id": "164896"}, {"ref": "chanchichoi/notebook9da6e3ad3c", "kernel_id": "204340"}, {"ref": "borispink/xdfghxdfhb", "kernel_id": "110276"}, {"ref": "borispink/first-test", "kernel_id": "64678"}, {"ref": "rowlandrzhang/tensorflow-deep-nn", "kernel_id": "110940"}, {"ref": "rowlandrzhang/tensorflow-deep-nn-20846ef5", "kernel_id": "156051"}, {"ref": "arushigulati/notebook-2e94c8f51643ff3c1289", "kernel_id": "23792"}, {"ref": "arushigulati/notebook-40bce54983e4f28183a1", "kernel_id": "23793"}, {"ref": "tommyttf/try-to-learn", "kernel_id": "44567"}, {"ref": "chipchip2/test1", "kernel_id": "18450"}, {"ref": "lsm0622/notebook-578b48ad56bfe9405a35", "kernel_id": "32995"}, {"ref": "adamchaffee/adam1", "kernel_id": "19782"}, {"ref": "ssoumen/d-igit", "kernel_id": "39513"}, {"ref": "ssoumen/notebook-811244c4a2bdcdd98567", "kernel_id": "39518"}, {"ref": "nikobob/tensorflow-deep-nn", "kernel_id": "101902"}, {"ref": "allhailtheking/recognizance", "kernel_id": "137765"}, {"ref": "DajiWu/notebook065487fe07", "kernel_id": "137092"}, {"ref": "mpaalto/notebook-0c1513842652cc829638", "kernel_id": "32041"}, {"ref": "mpaalto/tensorflow-softmax-regression-deep-nn", "kernel_id": "30759"}, {"ref": "dkatz44/simple-deep-mlp-with-keras", "kernel_id": "246436"}, {"ref": "qintxx/tensorflow-deep-nn", "kernel_id": "94629"}, {"ref": "kampen6565/digit-reco", "kernel_id": "18909"}, {"ref": "ashnaaggarwal/train", "kernel_id": "19295"}, {"ref": "stroganov/notebook-97e6810ff88b5dcb4873", "kernel_id": "61849"}, {"ref": "mrbayes/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "23570"}, {"ref": "mrbayes/notebook-32125d28553c330e1e7e", "kernel_id": "23571"}, {"ref": "vousmevoyez/tensorflow-softmax-regression-deep-nn", "kernel_id": "31843"}, {"ref": "jilluminati/notebook-3c5dd4142df3325e4df7", "kernel_id": "31093"}, {"ref": "jilluminati/notebook-56fc440e20e882e34663", "kernel_id": "22786"}, {"ref": "jilluminati/digit", "kernel_id": "64271"}, {"ref": "molee1/notebook-5d4baf37bc82c9522337", "kernel_id": "30951"}, {"ref": "molee1/test-script", "kernel_id": "30952"}, {"ref": "molee1/notebook-7fb1f4263740e2927e4e", "kernel_id": "30953"}, {"ref": "hunter10817/notebook285e46b506", "kernel_id": "105314"}, {"ref": "kvp246/digit-recognizer", "kernel_id": "80485"}, {"ref": "qwe0814/notebookd13b8e4204", "kernel_id": "105442"}, {"ref": "shanchuanruge/digit-recognizer-random-forest-with-pca", "kernel_id": "146555"}, {"ref": "plotop/digit", "kernel_id": "21028"}, {"ref": "icecube314/cnn-keras-for-mnist", "kernel_id": "114153"}, {"ref": "zachdean21/zach-s-code", "kernel_id": "28465"}, {"ref": "robindata/tensorflow-deep-nn", "kernel_id": "43135"}, {"ref": "robindata/testing", "kernel_id": "22891"}, {"ref": "gspraneethreddy/digit-recoginzer", "kernel_id": "23734"}, {"ref": "guilin/check", "kernel_id": "20823"}, {"ref": "guilin/notebook-4934af953b11f2789f60", "kernel_id": "32517"}, {"ref": "guilin/tensorflow-softmax-regression-deep-nn", "kernel_id": "32473"}, {"ref": "guilin/notebook-638dd043e6b1394f1a8f", "kernel_id": "32474"}, {"ref": "guilin/notebook-a2ebb19514b1b747c969", "kernel_id": "32475"}, {"ref": "guilin/notebook-9031486564defb13fd25", "kernel_id": "32478"}, {"ref": "guilin/tensor-python-cnn-test", "kernel_id": "32479"}, {"ref": "carlosestevez/test1", "kernel_id": "20044"}, {"ref": "tatyabala/notebooka0f4ad272c", "kernel_id": "245938"}, {"ref": "pluvara/test1", "kernel_id": "23172"}, {"ref": "aovtails/random-forest-classifier", "kernel_id": "19525"}, {"ref": "jeanmartin/title-of-the-script", "kernel_id": "193355"}, {"ref": "takuyasugie/notebook-7eb73ae90fec51251d0f", "kernel_id": "74627"}, {"ref": "danielbhugon/notebook-223bb7254a090b3bb680", "kernel_id": "37787"}, {"ref": "anushveeranala/first", "kernel_id": "19676"}, {"ref": "alegrand/yolo-o", "kernel_id": "21833"}, {"ref": "jriskas/tensorflow-deep-nn", "kernel_id": "238162"}, {"ref": "jriskas/notebook-507798cc4c44f967e076", "kernel_id": "57009"}, {"ref": "jriskas/standardfirstscript", "kernel_id": "57010"}, {"ref": "jriskas/notebook-b1b6c7d97bce58b70a9c", "kernel_id": "71024"}, {"ref": "ucasxzq/notebook-c5349f6b91097395aad5", "kernel_id": "32229"}, {"ref": "vdutordo/notebook28f6358bee", "kernel_id": "92362"}, {"ref": "derekb77/r-h2o-randomforest", "kernel_id": "45494"}, {"ref": "nagakartheek/digit-reco", "kernel_id": "30467"}, {"ref": "neo000/test-r", "kernel_id": "19797"}, {"ref": "neo000/first-py", "kernel_id": "35668"}, {"ref": "lucianof/aaaaaaaaa", "kernel_id": "21201"}, {"ref": "lucianof/bbbbbbbb", "kernel_id": "21205"}, {"ref": "ashwani07/mnist-classification-using-random-forest", "kernel_id": "619898"}, {"ref": "ashwani07/mnist-using-cnn", "kernel_id": "620186"}, {"ref": "ashwani07/mnist-using-mlp", "kernel_id": "624654"}, {"ref": "mathemilda/black-on-white", "kernel_id": "117288"}, {"ref": "aromar/notebook-93479b3667edcaac9da6", "kernel_id": "30561"}, {"ref": "roryhr/simple-deep-mlp-with-keras", "kernel_id": "36333"}, {"ref": "jilei04/digit-1", "kernel_id": "20290"}, {"ref": "gedion/script-r", "kernel_id": "65406"}, {"ref": "gedion/script-py", "kernel_id": "65409"}, {"ref": "gedion/notebook-22d77bf05e936582d97b", "kernel_id": "65404"}, {"ref": "corona10/notebook-119ebd137e935ae0d3a3", "kernel_id": "78635"}, {"ref": "asogani/mnist-logistic", "kernel_id": "200790"}, {"ref": "asogani/notebook3f57c555ee", "kernel_id": "200874"}, {"ref": "asogani/new-mnist", "kernel_id": "200877"}, {"ref": "asogani/mnist-neural-nets", "kernel_id": "200949"}, {"ref": "asogani/keras-cnn-mnist", "kernel_id": "210297"}, {"ref": "asogani/keras-mnist-notebook", "kernel_id": "211112"}, {"ref": "samjbaugh/mytest1", "kernel_id": "71440"}, {"ref": "mughani/test1", "kernel_id": "20545"}, {"ref": "dancamma/notebook16751e8a9a", "kernel_id": "244696"}, {"ref": "gibsongay/notebook-a0600366e8da047ee87f", "kernel_id": "81419"}, {"ref": "gibsongay/notebook-1d948dc0e747c4799386", "kernel_id": "81421"}, {"ref": "gibsongay/notebook-4f90f8ae0b69aa34a9a4", "kernel_id": "81422"}, {"ref": "gibsongay/notebook-c9f7da8006654f46983e", "kernel_id": "81405"}, {"ref": "gibsongay/tensorflow-deep-nn", "kernel_id": "81409"}, {"ref": "gibsongay/notebook-bc48b1ec481e22b94722", "kernel_id": "81410"}, {"ref": "omernave56/test1", "kernel_id": "23107"}, {"ref": "athresh/knn-with-minimal-preprocessing", "kernel_id": "190927"}, {"ref": "tiagofabre/notebook-0ff416b63ed7e57e9682", "kernel_id": "20812"}, {"ref": "tiagofabre/notebook-84cf77e4b4e6d6a4913c", "kernel_id": "20810"}, {"ref": "tiagofabre/sklearn-pca-svm", "kernel_id": "23355"}, {"ref": "indian/notebook-6128bdbf95885ab598f3", "kernel_id": "82122"}, {"ref": "indian/tensorflow-deep-nn", "kernel_id": "82097"}, {"ref": "indian/notebook-30e0dd00d1309fd5cfdb", "kernel_id": "82103"}, {"ref": "indian/notebook-4d45e4348b4294ccedc3", "kernel_id": "82104"}, {"ref": "indian/tf-contrib-learn-dnn-mnist-fake-data", "kernel_id": "82114"}, {"ref": "indian/digit-recognizer-in-python-using-cnn", "kernel_id": "82039"}, {"ref": "bsilwal/notebook-37dbd603b7d5ce915399", "kernel_id": "29464"}, {"ref": "rochbu/numbersorter", "kernel_id": "20889"}, {"ref": "lobisi/a-beginner-s-approach-to-classification", "kernel_id": "253176"}, {"ref": "sinverguenza/test1", "kernel_id": "22122"}, {"ref": "motzerts/notebook-71162f284cdb8b5d1464", "kernel_id": "24893"}, {"ref": "michalmazek/mnist", "kernel_id": "100364"}, {"ref": "michalmazek/notebookf9eb1050c3", "kernel_id": "114807"}, {"ref": "ianpostuma/test-digit", "kernel_id": "44823"}, {"ref": "mihails/test1on", "kernel_id": "72929"}, {"ref": "marshallfate/notebook-f9f9734b7d9e4f8719f1", "kernel_id": "30368"}, {"ref": "mblazeb/notebook-4ddb27bd22a9999c90a6", "kernel_id": "21857"}, {"ref": "mblazeb/append", "kernel_id": "21858"}, {"ref": "mblazeb/notebook-a76e1792b9ce03f41bdb", "kernel_id": "21859"}, {"ref": "mblazeb/notebook-5bd37e1dc5cdeb1bd1ee", "kernel_id": "21860"}, {"ref": "mblazeb/notebook-70ab3f10288ca0d3895e", "kernel_id": "21861"}, {"ref": "mblazeb/notebook-b316f491993e4dbfc61a", "kernel_id": "21862"}, {"ref": "mblazeb/notebook-8093f98e6d7cab32a9fb", "kernel_id": "21864"}, {"ref": "mblazeb/deep-learning-using-nolearn", "kernel_id": "22272"}, {"ref": "andreaazzini/tensorflow-deep-nn", "kernel_id": "106777"}, {"ref": "asawan/notebook-ceccbd625ad440f54329", "kernel_id": "21402"}, {"ref": "asawan/random-forest-benchmark", "kernel_id": "21239"}, {"ref": "salarra67/notebook-22190781f7055406cd04", "kernel_id": "21271"}, {"ref": "jackiezhu/notebook-17acd489e67eecbdc087", "kernel_id": "33348"}, {"ref": "jackiezhu/first", "kernel_id": "21282"}, {"ref": "jackiezhu/notebook-9874cdd9899e862636c4", "kernel_id": "21283"}, {"ref": "knbdigger/555464", "kernel_id": "21288"}, {"ref": "ticotaco/notebookbbd2f75f06", "kernel_id": "192371"}, {"ref": "chessmaster/notebook-baeef6f735c8671c7129", "kernel_id": "28413"}, {"ref": "kgtekito/notebook-e0867874e5ab027d6ff2", "kernel_id": "71143"}, {"ref": "kgtekito/notebook-103e5ea5eb9c52b81545", "kernel_id": "71145"}, {"ref": "kgtekito/notebook-b80bc3846bf05a05ba0b", "kernel_id": "71067"}, {"ref": "zenadi/test-script", "kernel_id": "96649"}, {"ref": "fsherry/notebook-e21f591b547c59bdc488", "kernel_id": "63169"}, {"ref": "dimchikk/mnist", "kernel_id": "22554"}, {"ref": "imontherun/notebook-6cbad76b37c61d886f27", "kernel_id": "27543"}, {"ref": "nickycan/a-beginner-s-approach-to-classification", "kernel_id": "199506"}, {"ref": "puhoshville/notebook4131c50ce5", "kernel_id": "124429"}, {"ref": "liuhyuu/notebook33e4f34f4a", "kernel_id": "215441"}, {"ref": "liuhyuu/notebook55dbc00d49", "kernel_id": "215442"}, {"ref": "nikitahiremath/digit-recogniser", "kernel_id": "35013"}, {"ref": "nikitahiremath/digit-reconiser", "kernel_id": "34885"}, {"ref": "fightclubzhou/notebook-a75b33f1dc96f0e97785", "kernel_id": "22044"}, {"ref": "tianxiaomiao7605/notebook20cb38ea92", "kernel_id": "111627"}, {"ref": "eayunts/mnist-tutorial", "kernel_id": "118472"}, {"ref": "epeicher/testscript", "kernel_id": "21866"}, {"ref": "kwokeith1989/notebook-a907ce7d90f720ba94ea", "kernel_id": "23416"}, {"ref": "karsinkk/notebook-e398797428a00906ee88", "kernel_id": "31598"}, {"ref": "aalinazar/notebook4439bd8b65", "kernel_id": "148680"}, {"ref": "tonymooori/notebook-61fb90c09bf24e0d8f34", "kernel_id": "29821"}, {"ref": "oliviama/neural-network-with-keras", "kernel_id": "223572"}, {"ref": "rahul001f/tensorflow-deep-nn", "kernel_id": "54030"}, {"ref": "anthonykenny/notebook8aa0c7164e", "kernel_id": "87308"}, {"ref": "anthonykenny/quick-look-at-the-digits-data", "kernel_id": "87309"}, {"ref": "lyndon713/notebook-8fa2d1c89bccc24c4971", "kernel_id": "29792"}, {"ref": "chrishamilton/notebook-8ead509316a6b3e9204f", "kernel_id": "24241"}, {"ref": "abenavs/notebook-366d6b90ec38010ac260", "kernel_id": "51301"}, {"ref": "jianchengyang/notebook-9f1ce1d32228a36a6d20", "kernel_id": "62035"}, {"ref": "jianchengyang/notebook-275d3906253b80be47ec", "kernel_id": "62038"}, {"ref": "jianchengyang/notebook-9ea981741304298e1061", "kernel_id": "62039"}, {"ref": "jianchengyang/notebook-d65a1fea16d9af3bd110", "kernel_id": "61902"}, {"ref": "jianchengyang/notebook-565126c3326517aba994", "kernel_id": "61893"}, {"ref": "jianchengyang/notebook-62fcd1ea99ff759ef75c", "kernel_id": "61870"}, {"ref": "jianchengyang/notebook-83c0013a4018739329be", "kernel_id": "61871"}, {"ref": "jianchengyang/cnn-on-mnist-with-tensorflow", "kernel_id": "61873"}, {"ref": "jianchengyang/notebook-0dd5a9d4156ef478b736", "kernel_id": "61888"}, {"ref": "jianchengyang/notebook-ebf6e93eb7fb27040877", "kernel_id": "61884"}, {"ref": "jianchengyang/notebook-6f244be84fd925eaf983", "kernel_id": "61885"}, {"ref": "kashrack/tensorflow-deep-nn", "kernel_id": "70192"}, {"ref": "rpopova/digits", "kernel_id": "22344"}, {"ref": "yhotdog/notebook-01cb705ae47a197ff9bd", "kernel_id": "40050"}, {"ref": "yhotdog/digits-recognizer", "kernel_id": "40051"}, {"ref": "yhotdog/notebook-2922b131d4e843b5d408", "kernel_id": "40053"}, {"ref": "yhotdog/notebook-4b57909412cf53501669", "kernel_id": "40048"}, {"ref": "yhotdog/notebook-3319aa4967cca6c053c3", "kernel_id": "48352"}, {"ref": "jotang/readdata", "kernel_id": "32582"}, {"ref": "jotang/plotgraph", "kernel_id": "32587"}, {"ref": "dklyuchinskiy/notebook-82b43f2b7eb9de11435c", "kernel_id": "26233"}, {"ref": "dklyuchinskiy/notebook-8b1aba450bdc1f3467c0", "kernel_id": "22587"}, {"ref": "mlivingstone/mltest", "kernel_id": "22452"}, {"ref": "shegokarm/digit-recognizer-builtin-neural-network", "kernel_id": "720795"}, {"ref": "shegokarm/deep-learning-with-tensorflow-neural-network", "kernel_id": "720808"}, {"ref": "vasilis73/dnn-application", "kernel_id": "994176"}, {"ref": "vasilis73/dnn-application-1", "kernel_id": "994746"}, {"ref": "danieleewww/tensorflow-cnn-lb-0-98929", "kernel_id": "186760"}, {"ref": "rayment/cnnmodel03", "kernel_id": "84189"}, {"ref": "rayment/cnnmodel04", "kernel_id": "84196"}, {"ref": "rayment/cnnmodel02", "kernel_id": "84145"}, {"ref": "rayment/cnnmodel06", "kernel_id": "85823"}, {"ref": "wmycroft/testtest", "kernel_id": "62487"}, {"ref": "mansiarora1009/notebook-d78f5f0d0399fc3fb4c5", "kernel_id": "31357"}, {"ref": "yirus727/learn", "kernel_id": "93100"}, {"ref": "fmcalcagno/nnet-with-hardaman-transform-and-pca", "kernel_id": "224015"}, {"ref": "fmcalcagno/notebook8c60b1b9d4", "kernel_id": "211673"}, {"ref": "fmcalcagno/keras-digit-recognizer-2", "kernel_id": "218668"}, {"ref": "fmcalcagno/fork-of-keras-digit-recognizer-cnn", "kernel_id": "276627"}, {"ref": "jackds/notebook-88cc9823923d92d8285a", "kernel_id": "61557"}, {"ref": "gregvial/mnist-with-svm", "kernel_id": "129323"}, {"ref": "gregvial/notebook2b1277d0d7", "kernel_id": "129319"}, {"ref": "gregvial/notebook50947d9d93", "kernel_id": "129321"}, {"ref": "carolynchen/notebook-fa6715f43e27d30f6600", "kernel_id": "22637"}, {"ref": "carolynchen/checking-data", "kernel_id": "22638"}, {"ref": "carolynchen/notebook-1b1c280afa9c1dcea9b7", "kernel_id": "50660"}, {"ref": "tendlya/notebook-3a044ae6c42df27d7c3e", "kernel_id": "60452"}, {"ref": "tendlya/notebook-8abf8c9ffc4c6fd9eefb", "kernel_id": "60453"}, {"ref": "tendlya/notebook-fbde9b36769304320ed4", "kernel_id": "60454"}, {"ref": "tendlya/notebook-04718baee418d9ad9de1", "kernel_id": "60676"}, {"ref": "tendlya/notebook-3b4a710c7a7ffe8d91a3", "kernel_id": "60677"}, {"ref": "tendlya/notebook-fbe84bed96c9e00db33c", "kernel_id": "60678"}, {"ref": "tendlya/notebook-4eee6304a924a71b819d", "kernel_id": "60679"}, {"ref": "tendlya/notebook-f04fb29290423c0c1d60", "kernel_id": "60680"}, {"ref": "tendlya/notebook-e8ac3b4fb8864d46b64b", "kernel_id": "63595"}, {"ref": "tendlya/notebook-9c5139d0dbf76517afc1", "kernel_id": "63615"}, {"ref": "tendlya/notebook-af5f34b959a760f3d232", "kernel_id": "65488"}, {"ref": "tendlya/notebook-e208bcdd07081cfc8358", "kernel_id": "65489"}, {"ref": "tendlya/notebook-4c65a177fdee45c2cc82", "kernel_id": "65868"}, {"ref": "tendlya/notebook-2ff789c0fe114483ed89", "kernel_id": "65864"}, {"ref": "tendlya/notebook-5633d4914bf83ef1f358", "kernel_id": "65848"}, {"ref": "tendlya/notebook-461430cec2b9859edcd5", "kernel_id": "65727"}, {"ref": "colakings/notebook-73d71e7fe8091cee0250", "kernel_id": "23617"}, {"ref": "colakings/43256", "kernel_id": "23726"}, {"ref": "luckyluke87/notebook-2baf5c7912667e0533ed", "kernel_id": "64074"}, {"ref": "luckyluke87/testtitle", "kernel_id": "64077"}, {"ref": "luckyluke87/notebook-04eca4b76cc6a603d9b8", "kernel_id": "58948"}, {"ref": "jellevde/single-layer-neural-network", "kernel_id": "679914"}, {"ref": "jellevde/mnist-with-kerasr", "kernel_id": "686917"}, {"ref": "tomomakes/digit-recognizer-tm", "kernel_id": "42770"}, {"ref": "kakauandme/notebook-2a4d77088e258cfac18e", "kernel_id": "29513"}, {"ref": "kakauandme/notebook-8471fdccd77a33513f66", "kernel_id": "29514"}, {"ref": "kakauandme/notebook-b6f6b2780a205d4fa09d", "kernel_id": "29515"}, {"ref": "kakauandme/tensorflow-deep-nn", "kernel_id": "29004"}, {"ref": "kakauandme/notebook-30960a6f7c274209331b", "kernel_id": "32373"}, {"ref": "kakauandme/notebook-e943a02591fdcab46e7c", "kernel_id": "32378"}, {"ref": "beatml/ml-first-chapter-knn", "kernel_id": "192738"}, {"ref": "beatml/pythonlearnpart", "kernel_id": "160499"}, {"ref": "beatml/aaaaaa", "kernel_id": "161252"}, {"ref": "beatml/testp", "kernel_id": "161243"}, {"ref": "beatml/pythonlearn", "kernel_id": "161235"}, {"ref": "beatml/randomforestr", "kernel_id": "158061"}, {"ref": "beatml/notebook85709af7f3", "kernel_id": "172357"}, {"ref": "laysakura/mlp-digit-recognizer", "kernel_id": "22948"}, {"ref": "blackbug/digitsrecognition", "kernel_id": "264393"}, {"ref": "hrsels/digitrecognizer", "kernel_id": "23669"}, {"ref": "hrsels/digrec", "kernel_id": "25545"}, {"ref": "hel111/tensorflow-deep-nn", "kernel_id": "40262"}, {"ref": "lstd21/notebook-44d52b67c9a81822c385", "kernel_id": "25344"}, {"ref": "ssawaa/notebook-5917dabecbce50457a37", "kernel_id": "23029"}, {"ref": "thetckh/notebook-d9672d645c3129e39142", "kernel_id": "45968"}, {"ref": "matthewemery/notebook-467449809df3034cec39", "kernel_id": "31453"}, {"ref": "matthewemery/notebook-c599b1c17f1c5c7a39cb", "kernel_id": "31454"}, {"ref": "matthewemery/notebook-2ca8cdb521f837f9e44e", "kernel_id": "31456"}, {"ref": "matthewemery/digit-recognizer-mse", "kernel_id": "31448"}, {"ref": "matthewemery/digit-recognizer-in-python-using-cnn", "kernel_id": "31635"}, {"ref": "matthewemery/tensorflow-softmax-regression-deep-nn", "kernel_id": "31636"}, {"ref": "matthewemery/notebook-c5de40598a2379a2e770", "kernel_id": "31668"}, {"ref": "matthewemery/notebook-578d177e7d60e88f0b52", "kernel_id": "31670"}, {"ref": "matthewemery/notebook-fa5f825d7da24357bda3", "kernel_id": "31671"}, {"ref": "matthewemery/notebook-cffd39e20628e33e5876", "kernel_id": "31720"}, {"ref": "matthewemery/notebook-6813ce0e849586fd144c", "kernel_id": "31721"}, {"ref": "matthewemery/pca-svm1", "kernel_id": "31722"}, {"ref": "gaohong/notebook33806a3beb", "kernel_id": "115514"}, {"ref": "allunia/how-to-attack-a-machine-learning-model", "kernel_id": "314889"}, {"ref": "cataclysm/tensorflow-deep-nn", "kernel_id": "94078"}, {"ref": "soumakm/test1", "kernel_id": "23143"}, {"ref": "soumakm/random-forest", "kernel_id": "122725"}, {"ref": "soumakm/first-sm", "kernel_id": "121414"}, {"ref": "soumakm/notebook486062ad87", "kernel_id": "111464"}, {"ref": "htrajan/notebook-a6e39e308cdf32ccc852", "kernel_id": "27438"}, {"ref": "karlsigfrid/notebook-eb8b9be800a0a24110a1", "kernel_id": "28321"}, {"ref": "karlsigfrid/my-digit-reader", "kernel_id": "28322"}, {"ref": "cynthiaz/notebook-de9e649d2bafc8aefd41", "kernel_id": "28383"}, {"ref": "nikosias/keras-merged-model", "kernel_id": "95439"}, {"ref": "mr0cheng/notebook6bb22979b6", "kernel_id": "214669"}, {"ref": "mangalanks/notebook-06ee54ebaa41b68055f5", "kernel_id": "53369"}, {"ref": "maximus009/test001", "kernel_id": "122740"}, {"ref": "carlomazzaferro/notebook-a1f5034c2ebd714f50a6", "kernel_id": "34683"}, {"ref": "carlomazzaferro/notebook-d0ef3e03e4797fc0ba35", "kernel_id": "35204"}, {"ref": "carlomazzaferro/notebook-ecad4d1804de62b36569", "kernel_id": "35145"}, {"ref": "carlomazzaferro/notebook-8b93c78b7c4070e0e0ad", "kernel_id": "35504"}, {"ref": "carlomazzaferro/notebook-ee7b546229c8c5b2c594", "kernel_id": "35558"}, {"ref": "donqwerty/notebook-e595f67c5151ca630128", "kernel_id": "23660"}, {"ref": "chulung/digit-recognizer-in-python-using-cnn", "kernel_id": "271147"}, {"ref": "durgeshsatyam/notebook-dba146e775f76f41efb0", "kernel_id": "23503"}, {"ref": "durgeshsatyam/notebook-58118f9c0f64befa82b3", "kernel_id": "23504"}, {"ref": "ningbiliusi/notebook-6dda6155051c3d0efa62", "kernel_id": "23387"}, {"ref": "swagathvk/kaggle-digit-recognizer", "kernel_id": "23392"}, {"ref": "zx403413599/notebook-a1ef7d5cef934a9821ca", "kernel_id": "23424"}, {"ref": "zfturbo/xgboost-solution", "kernel_id": "36643"}, {"ref": "manpacket/notebook-c59a6758a0655d5fb911", "kernel_id": "23528"}, {"ref": "vishal13125/notebook-4546b6a29afaf4a61014", "kernel_id": "26320"}, {"ref": "yangreal1991/notebook-98e4076869d221f140dd", "kernel_id": "48884"}, {"ref": "yangreal1991/only-a-try-from-ben-s-code", "kernel_id": "48885"}, {"ref": "iserendipitous/notebookff85e5a0f1", "kernel_id": "132049"}, {"ref": "dimitras/notebook-5e45ec06b345b4493c18", "kernel_id": "38130"}, {"ref": "dimitras/notebook-5750fe8215e9e11445ae", "kernel_id": "38131"}, {"ref": "vijaybharrathi/notebook-e577061bb8d7410a0994", "kernel_id": "50196"}, {"ref": "fzyy0412/notebook75a43c2bb8", "kernel_id": "129203"}, {"ref": "bfactura/simple-convolutional-nueral-network-keras", "kernel_id": "165276"}, {"ref": "yknots/digits", "kernel_id": "23903"}, {"ref": "alimohammed/random-forest-benchmark", "kernel_id": "23698"}, {"ref": "windsurfer/tensorflow-deep-nn", "kernel_id": "62358"}, {"ref": "anandki/digit-learning", "kernel_id": "35141"}, {"ref": "shreisty/notebook-02b93c814a50e04c468c", "kernel_id": "29919"}, {"ref": "wpf5511/notebook-ee5b073e3c521d5c5dff", "kernel_id": "23749"}, {"ref": "lucytoole/script-1", "kernel_id": "23798"}, {"ref": "animesh371/tensorflow-deep-nn", "kernel_id": "42719"}, {"ref": "wanglaiqi/personalized-medicine-redefining-cancer-treatment", "kernel_id": "391587"}, {"ref": "robburke/testrscript", "kernel_id": "30435"}, {"ref": "robburke/tensorflow-deep-nn", "kernel_id": "116518"}, {"ref": "brownal05/notebook-2f5219dd0c18333b5683", "kernel_id": "23958"}, {"ref": "rakdosss/notebook-512969bbff52185104e5", "kernel_id": "23966"}, {"ref": "rakdosss/test0", "kernel_id": "23967"}, {"ref": "ravi2493/notebook-3957be05deaf05352bb7", "kernel_id": "84444"}, {"ref": "xiaotiandai/tensorflow-deep-nn", "kernel_id": "222289"}, {"ref": "cathasadream/digit-recognizer-in-r", "kernel_id": "25097"}, {"ref": "drhunter/tensorflow-deep-nn", "kernel_id": "36407"}, {"ref": "drhunter/notebook-95f2fb979f0b6cf7ce28", "kernel_id": "36408"}, {"ref": "ilegend/randomforestclassifier", "kernel_id": "166487"}, {"ref": "ynakasone/notebookc4eda5f7b0", "kernel_id": "90242"}, {"ref": "bosun001/notebook4cc04ce1e3", "kernel_id": "100301"}, {"ref": "bosun001/one-step-randomforest-at-96-77-accuracy", "kernel_id": "100166"}, {"ref": "pittmiqi/tensorflow-deep-nn", "kernel_id": "74478"}, {"ref": "skrogfoss/notebook-2045eb20ad968fdc2a0c", "kernel_id": "24733"}, {"ref": "skrogfoss/testscript", "kernel_id": "24734"}, {"ref": "a31314431/not-using-ml-so-it-s-imprecise", "kernel_id": "74984"}, {"ref": "saeedp62/random-forest-in-python", "kernel_id": "32719"}, {"ref": "hiterstone/mnist-tutorial", "kernel_id": "119363"}, {"ref": "devanshusharma/notebook-456a10ec811c353401e9", "kernel_id": "37908"}, {"ref": "kirkvanhouten/michael", "kernel_id": "93786"}, {"ref": "damnimportant/test11-hfd", "kernel_id": "61841"}, {"ref": "themasterjohnson/notebook-4a5c008ad04c8c5e8a0e", "kernel_id": "24215"}, {"ref": "tastyshoba/notebook-5a9b58a88acbe4a19f2b", "kernel_id": "43581"}, {"ref": "tastyshoba/tensorflow-deep-nn", "kernel_id": "43583"}, {"ref": "mhzx20/justforfun", "kernel_id": "32043"}, {"ref": "mhzx20/first-blood", "kernel_id": "24953"}, {"ref": "lkleinbrodt/digits", "kernel_id": "64821"}, {"ref": "data0caolu/notebook-22c0f3a5925bb1f1d621", "kernel_id": "80648"}, {"ref": "data0caolu/digit-recognizer-in-python-using-cnn", "kernel_id": "80982"}, {"ref": "xiong2/deep-convolutional-network-using-keras", "kernel_id": "68264"}, {"ref": "incitatus451/randomforest-withe-generated-features-in", "kernel_id": "28657"}, {"ref": "philzook58/testfile", "kernel_id": "24931"}, {"ref": "dfinlen/tensorflow-deep-nn", "kernel_id": "67381"}, {"ref": "shunter1112/notebook-233d83974d588c1fade8", "kernel_id": "24510"}, {"ref": "shunter1112/mnist-competition", "kernel_id": "24511"}, {"ref": "dream74/hellodigitrecognizer", "kernel_id": "33398"}, {"ref": "lacexd/notebook-e367bfb8ea5df27b8102", "kernel_id": "24554"}, {"ref": "lacexd/notebook-f63a6f9c90cae990fa53", "kernel_id": "24555"}, {"ref": "lacexd/asdasd", "kernel_id": "24556"}, {"ref": "lacexd/solution", "kernel_id": "24557"}, {"ref": "maxflex/maxflex", "kernel_id": "24569"}, {"ref": "lifefeel/notebook-f620d0ac3cb13b675c35", "kernel_id": "28646"}, {"ref": "lifefeel/notebook-6678949514f5cebe60fe", "kernel_id": "28647"}, {"ref": "lifefeel/notebook-469e9974cc830685040e", "kernel_id": "28648"}, {"ref": "lifefeel/notebook-6e583404376170c5cbb8", "kernel_id": "28439"}, {"ref": "lifefeel/test-script", "kernel_id": "28440"}, {"ref": "lifefeel/notebook-a96cb771d76e78159ff4", "kernel_id": "28446"}, {"ref": "lifefeel/notebook-7b2df2805180ef10619f", "kernel_id": "28447"}, {"ref": "minjae/tensorflow-deep-nn", "kernel_id": "172529"}, {"ref": "thomaslawson/notebook-6952ca34508cae00a147", "kernel_id": "26663"}, {"ref": "thomaslawson/notebook-1e05757630128f5c5993", "kernel_id": "26665"}, {"ref": "thomaslawson/digit-tecogniser-log-reg", "kernel_id": "26666"}, {"ref": "majing/digit", "kernel_id": "141710"}, {"ref": "guillota/notebook-c86c395e597294a772b4", "kernel_id": "46947"}, {"ref": "wangxwang/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "24820"}, {"ref": "dusj1993/notebook-2cbd26710d20572f851a", "kernel_id": "25145"}, {"ref": "andresrm88/notebook42df001dbb", "kernel_id": "225610"}, {"ref": "ekim339/digit-recognizer", "kernel_id": "32444"}, {"ref": "luffey/notebook-579dfc50f08ae5115034", "kernel_id": "26829"}, {"ref": "luffey/digit-recognizer-in-python-using-cnn", "kernel_id": "26695"}, {"ref": "jeremiebou/tensorflow-deep-nn", "kernel_id": "111862"}, {"ref": "laszlokiraly/simple-ann-digit-recognizer", "kernel_id": "294282"}, {"ref": "laszlokiraly/dnn-digit-recognizer", "kernel_id": "294432"}, {"ref": "yugushihuang/main-py", "kernel_id": "105634"}, {"ref": "frosty060609/notebook-f88cece4bd5476aa41be", "kernel_id": "38790"}, {"ref": "majonglin/notebook-6a6aeb314ff480c12a37", "kernel_id": "24938"}, {"ref": "majonglin/test123", "kernel_id": "24939"}, {"ref": "wbqdinno/digit-recognizer-in-python-using-cnn", "kernel_id": "27122"}, {"ref": "wbqdinno/notebook-00d37696a92d66c054c8", "kernel_id": "27127"}, {"ref": "wbqdinno/notebook-9b0d6c5e74418a155c74", "kernel_id": "27130"}, {"ref": "ludongzhou/notebook-ef82534108adc9e9ee87", "kernel_id": "25058"}, {"ref": "c4chanha/mnist-with-cnn-0-99157-score", "kernel_id": "157078"}, {"ref": "wrenywren/random-forest-benchmark", "kernel_id": "25349"}, {"ref": "thomasmktong/notebook-e274bde8b848d4942561", "kernel_id": "65182"}, {"ref": "rlomascolo/notebook-113977ec5bb8030d9f73", "kernel_id": "34128"}, {"ref": "rlomascolo/rodolfo", "kernel_id": "39315"}, {"ref": "rlomascolo/notebook-9079b199814292d5adfd", "kernel_id": "45855"}, {"ref": "rlomascolo/randomforest-feature-importance-plot", "kernel_id": "44891"}, {"ref": "rlomascolo/tensorflow-deep-nn", "kernel_id": "44892"}, {"ref": "rlomascolo/notebook-4a5750e4ae7c7a274e26", "kernel_id": "44884"}, {"ref": "rlomascolo/digit-recognizer-in-python-using-cnn", "kernel_id": "44852"}, {"ref": "rlomascolo/notebook-53d082817e55bf46bd15", "kernel_id": "44853"}, {"ref": "yearnyeen/tensorflow-deep-nn", "kernel_id": "62643"}, {"ref": "yearnyeen/notebook-bace6e4a93e312b39f6d", "kernel_id": "62668"}, {"ref": "yearnyeen/notebook-6f585357c297124e1890", "kernel_id": "64524"}, {"ref": "alexgomes3/playing-with-tensorflow-and-mnist", "kernel_id": "706917"}, {"ref": "mrfrankism/notebook-ad2316a1a3441b2b8e37", "kernel_id": "25752"}, {"ref": "mrfrankism/bloop", "kernel_id": "25753"}, {"ref": "seadragon/chens", "kernel_id": "30838"}, {"ref": "seadragon/gggfff", "kernel_id": "30842"}, {"ref": "jiechao/digit-recognizer-in-python-using-cnn", "kernel_id": "27246"}, {"ref": "jiechao/notebook-0a2c0e731354f69b28da", "kernel_id": "27627"}, {"ref": "jiechao/notebook-1009b549ddcc584aac38", "kernel_id": "27618"}, {"ref": "jiechao/notebook-6acb1bae7acec6ee2e03", "kernel_id": "27619"}, {"ref": "jiechao/notebook-4a301b7e52e65e26d7a9", "kernel_id": "27620"}, {"ref": "jiechao/notebook-62399e594d98e6577590", "kernel_id": "27621"}, {"ref": "jiechao/notebook-5a6246eaed9a75b6e5ed", "kernel_id": "27629"}, {"ref": "jiechao/notebook-cd63f95a4bde61422257", "kernel_id": "27630"}, {"ref": "mehomeho/digit-recognizer-in-python-using-cnn", "kernel_id": "48106"}, {"ref": "apartmentguru/first-digit", "kernel_id": "30873"}, {"ref": "apartmentguru/notebook-b8df94f1eab5a5a324e5", "kernel_id": "64182"}, {"ref": "apartmentguru/notebook69a424454d", "kernel_id": "161759"}, {"ref": "daniel74/notebook-eaf6fb6e492f46d1fd91", "kernel_id": "28234"}, {"ref": "daniel74/notebook-f93e03a62911a21a17b6", "kernel_id": "28228"}, {"ref": "daniel74/script-py", "kernel_id": "28229"}, {"ref": "daniel74/test-script1", "kernel_id": "29835"}, {"ref": "daniel74/notebook-cd682df9b08ac7b7318d", "kernel_id": "29836"}, {"ref": "chierush/notebook27cd81caa3", "kernel_id": "276716"}, {"ref": "aseret/testt", "kernel_id": "100114"}, {"ref": "richasaini/cnn-on-digit-recognition", "kernel_id": "122008"}, {"ref": "richasaini/fork-of-notebooke73c258949", "kernel_id": "122043"}, {"ref": "durt88/notebook-78b6d987a1fb4afac644", "kernel_id": "25833"}, {"ref": "adiljadoon/notebookc4225478a3", "kernel_id": "272302"}, {"ref": "mohitgoyal91/randomforest2", "kernel_id": "71796"}, {"ref": "apencio/test1", "kernel_id": "25943"}, {"ref": "fstankevich/notebook-4e7e3565cf86beeab41e", "kernel_id": "26229"}, {"ref": "pranaysahith/digit-recognizer", "kernel_id": "65469"}, {"ref": "aaronad/notebookd6194a8f32", "kernel_id": "107551"}, {"ref": "emmettwu/script-py", "kernel_id": "26035"}, {"ref": "jacknezha/tensorflow-deep-nn", "kernel_id": "44132"}, {"ref": "jacknezha/notebook-761524ac469c76074a91", "kernel_id": "44133"}, {"ref": "jacknezha/notebook-8b103e17ab3eaacb1e54", "kernel_id": "67956"}, {"ref": "wwilly/tensorflow-deep-nn", "kernel_id": "112146"}, {"ref": "wwilly/tensorflow-deep-nn-03402736", "kernel_id": "112173"}, {"ref": "wwilly/notebookd88eef0b49", "kernel_id": "112374"}, {"ref": "antonnovikov/test1", "kernel_id": "26266"}, {"ref": "dmnielsen/notebookf5433e5fa4", "kernel_id": "138754"}, {"ref": "zhihaojun/notebook-c9f79fb244a096a3e567", "kernel_id": "61013"}, {"ref": "zhihaojun/tensorflow-deep-nn", "kernel_id": "76044"}, {"ref": "zhihaojun/digit-recognizer-in-python-using-cnn", "kernel_id": "76045"}, {"ref": "zaiddabaeen/notebook976fb88f1b", "kernel_id": "188854"}, {"ref": "zaiddabaeen/notebook8bc787f688", "kernel_id": "188845"}, {"ref": "life2short/testss", "kernel_id": "27570"}, {"ref": "life2short/notebook-e8e19ffe6ff07be09efc", "kernel_id": "40713"}, {"ref": "hota911/notebook-d892d5303a3894705b9b", "kernel_id": "26368"}, {"ref": "russwill/notebook-bfa79342578655c1593b", "kernel_id": "26430"}, {"ref": "russwill/build-your-own-neural-network-in-r", "kernel_id": "32104"}, {"ref": "russwill/notebook-fed86926087d4ea6f80c", "kernel_id": "32105"}, {"ref": "jinzhao672/testcase1", "kernel_id": "26546"}, {"ref": "divyamohan/script", "kernel_id": "26528"}, {"ref": "ld0404/notebook7ac418a4d9", "kernel_id": "188227"}, {"ref": "ld0404/notebook95119901bf", "kernel_id": "188206"}, {"ref": "ld0404/notebooke9e393cb06", "kernel_id": "188202"}, {"ref": "ld0404/digit-recognize-temp1", "kernel_id": "188057"}, {"ref": "russlitianyu/notebook-853daaf53701646d3773", "kernel_id": "28371"}, {"ref": "thealphaking01/notebook-660c9647dfba5dc990f1", "kernel_id": "68618"}, {"ref": "thealphaking01/usingknn", "kernel_id": "68685"}, {"ref": "suimaru/3-layer-convolutional-neural-network-in-tensorflow", "kernel_id": "537684"}, {"ref": "uj2295/tensorflow-deep-nn", "kernel_id": "182890"}, {"ref": "thebardofcodes/theano-for-digit-recognizer", "kernel_id": "126776"}, {"ref": "fentwer/notebook-402aadeb736f5e310a58", "kernel_id": "68309"}, {"ref": "fentwer/digit-recognizer-simple", "kernel_id": "68321"}, {"ref": "fentwer/notebook-193743d347da99156c67", "kernel_id": "68329"}, {"ref": "fentwer/notebook-bdf26772dac065da43a2", "kernel_id": "68330"}, {"ref": "fentwer/notebook-f20935448b1a178dc484", "kernel_id": "68315"}, {"ref": "fentwer/notebook-782dad649cf397365f01", "kernel_id": "68338"}, {"ref": "fentwer/notebook-b52d342db98694459f7e", "kernel_id": "68340"}, {"ref": "shenyitao/notebook-1fedeeb1995593e2ea6d", "kernel_id": "27073"}, {"ref": "shenyitao/tested", "kernel_id": "27074"}, {"ref": "vvercruyssen/notebooka0926f2ddd", "kernel_id": "135774"}, {"ref": "haykirstin/mnist-tutorial", "kernel_id": "120585"}, {"ref": "am5800/digit-recognizer", "kernel_id": "60565"}, {"ref": "ftomiiwo/notebook-71ab8d3e4e18db3227b9", "kernel_id": "28721"}, {"ref": "erikreppel/tensorflow-deep-nn", "kernel_id": "47911"}, {"ref": "wanglingdeemo/notebook-3ec7a6df0d7d1d814840", "kernel_id": "27466"}, {"ref": "wanglingdeemo/my-nn", "kernel_id": "27748"}, {"ref": "wanglingdeemo/notebook-e519da442680224d7def", "kernel_id": "27744"}, {"ref": "wanglingdeemo/notebook-a8cf343d0b50ccf926b4", "kernel_id": "27425"}, {"ref": "seandot7/notebook7fc4e6c900", "kernel_id": "98038"}, {"ref": "seandot7/mnist-test", "kernel_id": "98052"}, {"ref": "seandot7/notebookf5e530b3dc", "kernel_id": "120166"}, {"ref": "seandot7/notebook8f27a4bcbc", "kernel_id": "109140"}, {"ref": "rafiki/notebook-b85ec7b98cdda66eaf99", "kernel_id": "27387"}, {"ref": "mlearning/read-handwritten-digits", "kernel_id": "37934"}, {"ref": "kytrick/test-submission", "kernel_id": "89416"}, {"ref": "kytrick/interactive-intro-to-dimensionality-reduction", "kernel_id": "186959"}, {"ref": "kytrick/tensorflow-deep-nn", "kernel_id": "186964"}, {"ref": "jiweeo/testtest", "kernel_id": "32414"}, {"ref": "chenhagn/test-1", "kernel_id": "27458"}, {"ref": "jaeholee/tensorflow-softmax-regression-deep-nn", "kernel_id": "30364"}, {"ref": "nathanb/digit-recognizer-in-python-using-cnn", "kernel_id": "38392"}, {"ref": "nathanb/notebook-63f2a021ffb5c8d91afe", "kernel_id": "38393"}, {"ref": "nathanb/notebook-f291f116cc9512429d30", "kernel_id": "38394"}, {"ref": "sudhirs/notebook-bb13d5dcca8f9942c679", "kernel_id": "27654"}, {"ref": "sudhirs/hw-recognition", "kernel_id": "27655"}, {"ref": "bhairavm/test-bjm", "kernel_id": "143403"}, {"ref": "ianhua/notebook-e6a64fc7fe7479b53c15", "kernel_id": "50414"}, {"ref": "ianhua/fuck-you", "kernel_id": "50418"}, {"ref": "ianhua/digit-recognizer", "kernel_id": "50421"}, {"ref": "ianhua/notebook-ac2c9473c61cb1957183", "kernel_id": "50669"}, {"ref": "poorvarane/notebook-aba9a48a2cfb8fa8ab81", "kernel_id": "67755"}, {"ref": "vaibhavlaturkar/notebookbc4efa60b7", "kernel_id": "202769"}, {"ref": "vaibhavlaturkar/notebook449c0c8938", "kernel_id": "203132"}, {"ref": "sudeshnakundu/deep-convolutional-network-using-keras-su1", "kernel_id": "238073"}, {"ref": "sudeshnakundu/deep-convolutional-network-using-keras-sudesn", "kernel_id": "145945"}, {"ref": "sudeshnakundu/deep-convolutional-network-using-keras-su", "kernel_id": "146783"}, {"ref": "tj2552/practice-nn-on-mnist", "kernel_id": "271181"}, {"ref": "somshubramajumdar/notebook-361b9da2dfd54cd5b9a7", "kernel_id": "63665"}, {"ref": "somshubramajumdar/squeezenet-for-mnist", "kernel_id": "63669"}, {"ref": "somshubramajumdar/notebook-d5c097456d3110da6f99", "kernel_id": "61295"}, {"ref": "somshubramajumdar/deep-convolutional-network-using-keras", "kernel_id": "54608"}, {"ref": "polkas/mxnet-r-99-acc-border-pixels", "kernel_id": "86185"}, {"ref": "polkas/notebook9a9a227c06", "kernel_id": "86041"}, {"ref": "zekelong/installed-r-packages", "kernel_id": "33001"}, {"ref": "dclinton/notebook-5a960631d1f0abd0bcd9", "kernel_id": "31134"}, {"ref": "dclinton/notebook-0674f5701bd17c403f4c", "kernel_id": "32383"}, {"ref": "dclinton/notebook-939eed8b78d69ff64f3b", "kernel_id": "32384"}, {"ref": "dclinton/notebook-0d95a55688fb8679a1e8", "kernel_id": "32385"}, {"ref": "dclinton/notebook-878d5519a15379de6e5c", "kernel_id": "32669"}, {"ref": "braain/notebook-02d3a9ee8453f8447331", "kernel_id": "32770"}, {"ref": "dhouse/tensorflow-deep-nn", "kernel_id": "111823"}, {"ref": "dhouse/notebook227bc5e575", "kernel_id": "111739"}, {"ref": "dhouse/pattern-recognition-yongjip-kim", "kernel_id": "111569"}, {"ref": "kakusuke/notebook-4c0816ddcdb15ea8192b", "kernel_id": "32032"}, {"ref": "kakusuke/first-tensorflow", "kernel_id": "31857"}, {"ref": "kakusuke/notebook-c5b06991ade97fcc8303", "kernel_id": "31930"}, {"ref": "kakusuke/nn-on-rf", "kernel_id": "31931"}, {"ref": "kakusuke/notebook-4b9c1e51667068ab9ada", "kernel_id": "32967"}, {"ref": "kakusuke/notebook-3e4bbc86ca2b8083b7c5", "kernel_id": "30967"}, {"ref": "kakusuke/mnist", "kernel_id": "30965"}, {"ref": "juanma/convolutional-nn-in-python-2", "kernel_id": "85237"}, {"ref": "juanma/convolutionnet-lasagne-lenet5", "kernel_id": "85238"}, {"ref": "anshu1106/welcome-to-deep-learning-cnn-99", "kernel_id": "820009"}, {"ref": "kyungtae/notebook-6281e71e0ffbe457766a", "kernel_id": "29717"}, {"ref": "kyungtae/notebook-0a6d86e33beac8198dbe", "kernel_id": "29772"}, {"ref": "kyungtae/notebook-caf25ef36346a6bc5971", "kernel_id": "28445"}, {"ref": "kyungtae/notebook-8038f773819000acd11b", "kernel_id": "28442"}, {"ref": "kyungtae/notebook-c9be376b1f7c57f2428b", "kernel_id": "28443"}, {"ref": "kyungtae/notebook-f59f7685c583bbf1de3e", "kernel_id": "28603"}, {"ref": "kyungtae/notebook-afa245e7e76ef3797abb", "kernel_id": "28619"}, {"ref": "jagangupta/keras-cnn-with-explanation", "kernel_id": "188119"}, {"ref": "bn121rajesh/notebook-eb6de5368232dca30426", "kernel_id": "45463"}, {"ref": "louchenyao/test-notebook", "kernel_id": "28625"}, {"ref": "louchenyao/notebook-c66e491b7bf9960ade4a", "kernel_id": "28626"}, {"ref": "enggarrio/trying", "kernel_id": "33605"}, {"ref": "ayank77/simple-logistic-reg-with-neural-network-mindset", "kernel_id": "364404"}, {"ref": "yanglinlee/notebook-e5e76cda034fa6f422b5", "kernel_id": "33534"}, {"ref": "datanerd0/interactive-intro-to-dimensionality-reduction", "kernel_id": "176429"}, {"ref": "datanerd0/manifold-learning-and-autoencoders", "kernel_id": "178776"}, {"ref": "datanerd0/tensorflow-deep-nn", "kernel_id": "189294"}, {"ref": "datanerd0/tensorflow-deep-nn-001e5d", "kernel_id": "189458"}, {"ref": "datanerd0/digit-recognizer-in-python-using-cnn", "kernel_id": "189459"}, {"ref": "datanerd0/interactive-intro-to-dimensionality-reducti-1d1aec", "kernel_id": "189460"}, {"ref": "datanerd0/manifold-learning-and-autoencoders-c0dbf7", "kernel_id": "189463"}, {"ref": "datanerd0/knn-from-scratch-in-python-at-97-1", "kernel_id": "189465"}, {"ref": "datanerd0/a-beginner-s-approach-to-classification", "kernel_id": "189467"}, {"ref": "jashimbd/tensorflow-deep-nn", "kernel_id": "35039"}, {"ref": "jashimbd/notebook-95e47f9219768c5e5b52", "kernel_id": "35040"}, {"ref": "drnickmartin/digit-learning", "kernel_id": "106482"}, {"ref": "antoinemercier/azert", "kernel_id": "28965"}, {"ref": "antoinemercier/notebook-2121af092f2f080f2582", "kernel_id": "28966"}, {"ref": "mmaria/digit-recognition-based-on-tutorial", "kernel_id": "241219"}, {"ref": "nikhil2008v/digit-recognizer-in-r", "kernel_id": "108974"}, {"ref": "aviatorx/clusters-in-2d-with-tsne-vs-pca", "kernel_id": "33220"}, {"ref": "liux0614/testscript", "kernel_id": "29319"}, {"ref": "akashshekara/something", "kernel_id": "35270"}, {"ref": "akashshekara/random", "kernel_id": "35633"}, {"ref": "shumakriss/example-handwritten-digits", "kernel_id": "84738"}, {"ref": "cuibing/notebook-c13e98642d6805d073ea", "kernel_id": "31293"}, {"ref": "cuibing/handwritten-digit", "kernel_id": "31294"}, {"ref": "puchatekwszortach/notebook12ff19a325", "kernel_id": "90239"}, {"ref": "mrotheram/notebook-907a88313ea0229aeb18", "kernel_id": "29544"}, {"ref": "kelesa/tensorflow-deep-nn", "kernel_id": "136653"}, {"ref": "thakkark1313/notebook20e94b4e0c", "kernel_id": "109521"}, {"ref": "vinayakrao/test-script", "kernel_id": "29724"}, {"ref": "zdwt04/notebook-681d0c85ce3b05d79156", "kernel_id": "32334"}, {"ref": "afiqcjohari/tensorflow-deep-nn", "kernel_id": "178618"}, {"ref": "takeshichka/digit-recognizer-in-python-using-cnn", "kernel_id": "61509"}, {"ref": "danielelton/notebook-d5fcbb7c33a349cf4bb5", "kernel_id": "33843"}, {"ref": "danielelton/notebook-d2d03db293aa837be017", "kernel_id": "34017"}, {"ref": "danielelton/notebook-d417c299768d7322769d", "kernel_id": "34446"}, {"ref": "danielelton/notebook-6e95d2c6ea68acf71f4c", "kernel_id": "32455"}, {"ref": "danielelton/tensorflow-deep-nn", "kernel_id": "74917"}, {"ref": "danielelton/notebook-e5fe016f8709a219d9c2", "kernel_id": "80511"}, {"ref": "danielelton/notebook-52a6c425f88d8a2f9be2", "kernel_id": "80652"}, {"ref": "danielelton/keras-cnn-with-explanation", "kernel_id": "133182"}, {"ref": "anario/notebook-4f4cb4ce9fae8c941d15", "kernel_id": "29971"}, {"ref": "fresh007/tensorflow-softmax-regression-deep-nn", "kernel_id": "30036"}, {"ref": "jonathanbouchet/digits-visualization-with-ggplot", "kernel_id": "795923"}, {"ref": "zhenhou/tensorflow-deep-nn", "kernel_id": "76949"}, {"ref": "cmadhok94/0-975-accuracy-2-hidden-layer-neural-net", "kernel_id": "105852"}, {"ref": "commanderaipa/best-practice", "kernel_id": "90237"}, {"ref": "c0dename/notebook-cb994b58913f58261e69", "kernel_id": "30280"}, {"ref": "sanderjb/new-trail", "kernel_id": "30477"}, {"ref": "sanderjb/test-randomforest", "kernel_id": "30894"}, {"ref": "amaryvk/notebook-d12dbdd80057af6765b4", "kernel_id": "68567"}, {"ref": "chhzhang/digit-recognizer-in-python-using-cnn", "kernel_id": "50055"}, {"ref": "fibrato/simple-perceptron-classifier", "kernel_id": "52796"}, {"ref": "lan13005/tensorflow-deep-nn", "kernel_id": "37170"}, {"ref": "lan13005/notebook-2b9ccdb81755c9a0bd73", "kernel_id": "37171"}, {"ref": "lan13005/notebook-8b69efe8282135a45938", "kernel_id": "37173"}, {"ref": "fireforg/notebook503b639942", "kernel_id": "228644"}, {"ref": "ayushagrawal/notebook-18b69a898e86d2913035", "kernel_id": "31847"}, {"ref": "ayushagrawal/notebook-b6f80c5991c06c02254a", "kernel_id": "31547"}, {"ref": "ayushagrawal/notebook-54b21a8bd403fb3df484", "kernel_id": "34040"}, {"ref": "ayushagrawal/notebook-812f1dd48f5a73a0ddfa", "kernel_id": "33976"}, {"ref": "rayanral/tensorflow-model-engineering", "kernel_id": "107249"}, {"ref": "mbroere/testc", "kernel_id": "31247"}, {"ref": "sanjeev2804/tensorflow-deep-nn", "kernel_id": "52265"}, {"ref": "lukasodaniel/mnist-first-attempt", "kernel_id": "30502"}, {"ref": "wangg12/tensorflow-deep-nn", "kernel_id": "94705"}, {"ref": "datafromkaggle/digit-recognizer-in-r", "kernel_id": "119052"}, {"ref": "rm1912/notebook4dae0267de", "kernel_id": "279901"}, {"ref": "trhodes/handwriting", "kernel_id": "30751"}, {"ref": "zaighum47/tensorflow-convolutional-neural-network-for-mnist", "kernel_id": "236180"}, {"ref": "royxue/notebook4518105099", "kernel_id": "228275"}, {"ref": "jiayetal/playground", "kernel_id": "31083"}, {"ref": "arjoonn/random-forests", "kernel_id": "37406"}, {"ref": "arjoonn/decision-tree", "kernel_id": "32969"}, {"ref": "arjoonn/notebook-75f2248495e790ccc9f5", "kernel_id": "32971"}, {"ref": "arjoonn/notebook-d3db2fdf8ec66e4162a0", "kernel_id": "74276"}, {"ref": "f0rtytw0/deep-convolutional-network-using-keras-e629704f", "kernel_id": "101231"}, {"ref": "f0rtytw0/dcnn-using-keras", "kernel_id": "101226"}, {"ref": "camigord/tensorflow-deep-nn", "kernel_id": "67611"}, {"ref": "camigord/notebook-a0bd0c338e41a1877656", "kernel_id": "67303"}, {"ref": "ericye/neural-network-with-tensorflow", "kernel_id": "241912"}, {"ref": "josephyu/first-test", "kernel_id": "44581"}, {"ref": "dkj199638/ohno123", "kernel_id": "56636"}, {"ref": "dkj199638/ohno1234", "kernel_id": "56650"}, {"ref": "dkj199638/asdff", "kernel_id": "56195"}, {"ref": "dkj199638/123546", "kernel_id": "55416"}, {"ref": "lukinegor/notebook818c0f5cf4", "kernel_id": "152616"}, {"ref": "lukinegor/notebook6badb07cd9", "kernel_id": "152620"}, {"ref": "lukinegor/notebook28e1822b4b", "kernel_id": "152629"}, {"ref": "johncookds/tensorflow-deep-nn", "kernel_id": "152022"}, {"ref": "chrispan1009/firsttry", "kernel_id": "36788"}, {"ref": "ryomiyazaki/notebook2dfa9e49d9", "kernel_id": "270090"}, {"ref": "parthchaudhary/digit-recognizer-in-python-using-cnn", "kernel_id": "256417"}, {"ref": "parthchaudhary/notebooka18862de95", "kernel_id": "131934"}, {"ref": "jigoum/notebook9c0eec5f64", "kernel_id": "90698"}, {"ref": "zhkirill/notebook-188f6cced9f208f9d7db", "kernel_id": "46082"}, {"ref": "zhkirill/solution", "kernel_id": "46084"}, {"ref": "wmitsuda/notebookbd374b2ae8", "kernel_id": "187712"}, {"ref": "zyczyc/digit-recognizer-in-python-using-cnn", "kernel_id": "35549"}, {"ref": "alessandroguida/simple-keras-in-r", "kernel_id": "352685"}, {"ref": "gandhirushabh2311/notebook1f42d49d31", "kernel_id": "138987"}, {"ref": "adamwgoh/my-first-script", "kernel_id": "35815"}, {"ref": "pritam/digit-recognizer-using-randomforest", "kernel_id": "232014"}, {"ref": "harshi23sharma/digit-recognizer-in-python-using-cnn", "kernel_id": "155405"}, {"ref": "westoshy/notebook659c0a4083", "kernel_id": "205255"}, {"ref": "sjtudesigner/pca-svm", "kernel_id": "34059"}, {"ref": "sjtudesigner/fisher-lda", "kernel_id": "34041"}, {"ref": "hongshuning/notebook-8a643a659680e513b2f4", "kernel_id": "31335"}, {"ref": "chunhsienhsu/notebookb3b84516c1", "kernel_id": "216277"}, {"ref": "juliensb137/first-nn-for-digit-reco", "kernel_id": "210113"}, {"ref": "ka201504/notebook-d6f1688e966d1c82a120", "kernel_id": "32501"}, {"ref": "ka201504/notebook-54b0dcc8076975809d4c", "kernel_id": "32502"}, {"ref": "andr3a/title2", "kernel_id": "104913"}, {"ref": "mrisdal/tensorflow-deep-nn-fork", "kernel_id": "205815"}, {"ref": "mrisdal/a-beginner-s-approach-to-classification-fork", "kernel_id": "205837"}, {"ref": "mrisdal/minimum-distance-classifier-fork", "kernel_id": "205860"}, {"ref": "mrisdal/new-to-kernels-start-here-1", "kernel_id": "211135"}, {"ref": "mrisdal/starter-kernel-python-script-1", "kernel_id": "211124"}, {"ref": "mrisdal/dimensionality-reduction-with-umap-on-mnist", "kernel_id": "712231"}, {"ref": "fireice110/test1", "kernel_id": "32161"}, {"ref": "fireice110/test3", "kernel_id": "32471"}, {"ref": "fireice110/h2o-randomforest2", "kernel_id": "32589"}, {"ref": "fireice110/notebook-e672500c697764bc036d", "kernel_id": "33327"}, {"ref": "fireice110/naivebayes-test", "kernel_id": "33932"}, {"ref": "gcoreb/r-script", "kernel_id": "31534"}, {"ref": "yonzhang/comparing-random-forest-pca-and-knn", "kernel_id": "176162"}, {"ref": "madlily/digit1", "kernel_id": "33145"}, {"ref": "madlily/build-your-own-neural-network-in-r", "kernel_id": "33146"}, {"ref": "dkkkaggle/notebook220ed78f04", "kernel_id": "123634"}, {"ref": "dixhom/digit-recognition-by-randomforest", "kernel_id": "55267"}, {"ref": "dixhom/notebook-931e746effaaeff20e69", "kernel_id": "54446"}, {"ref": "dixhom/random-forest-number-of-trees", "kernel_id": "54450"}, {"ref": "dixhom/notebook-4ab7763dda2e5542bad6", "kernel_id": "54371"}, {"ref": "mandarvaze/tensorflow", "kernel_id": "226237"}, {"ref": "mandarvaze/notebookf00fadfcab", "kernel_id": "219602"}, {"ref": "mandarvaze/notebookf3b6cbfe59", "kernel_id": "231834"}, {"ref": "mandarvaze/notebookf128978987", "kernel_id": "231835"}, {"ref": "phustak/ph-script1", "kernel_id": "31882"}, {"ref": "wdw110/digit-rec", "kernel_id": "196565"}, {"ref": "accraze/keras-cnn", "kernel_id": "318779"}, {"ref": "accraze/keras-autoencoder", "kernel_id": "327896"}, {"ref": "junsbaby/tensorflow-softmax-regression-deep-nn", "kernel_id": "32328"}, {"ref": "shigehisa/notebook0afa050e7e", "kernel_id": "90240"}, {"ref": "jrahul/notebook9e5f8ffd5f", "kernel_id": "202666"}, {"ref": "snoober/notebookb0ac23dcca", "kernel_id": "227488"}, {"ref": "bisgates/tensorflow-deep-nn", "kernel_id": "52013"}, {"ref": "pandax/tensorflow-deep-nn", "kernel_id": "44083"}, {"ref": "duygua/tensorflow-softmax-regression-deep-nn", "kernel_id": "31940"}, {"ref": "introbijaviersanchez/notebook-3414c227ab9cbb7ddfe6", "kernel_id": "33162"}, {"ref": "arcondo/tensorflow-deep-nn", "kernel_id": "155015"}, {"ref": "georgetailor/title", "kernel_id": "32367"}, {"ref": "menny83/notebook-53b99b54c5daf0c34206", "kernel_id": "43391"}, {"ref": "arjunrajjain/notebook-5c704e3702a1aa5dd4a0", "kernel_id": "49363"}, {"ref": "arjunrajjain/tensorflow-deep-nn", "kernel_id": "49359"}, {"ref": "arjunrajjain/notebook-8bb030e5b2a49b3143ac", "kernel_id": "66418"}, {"ref": "hanisunr/notebook-3687194fcf8463c0f0bd", "kernel_id": "32066"}, {"ref": "hanisunr/my-second-try", "kernel_id": "32067"}, {"ref": "hanisunr/my-first-thing", "kernel_id": "32064"}, {"ref": "hubin9062/notebook-cefabdbbd8da0f3c6ddc", "kernel_id": "74239"}, {"ref": "hubin9062/notebook-d27aef29f82c9647dd32", "kernel_id": "74242"}, {"ref": "hubin9062/first-test", "kernel_id": "74244"}, {"ref": "suny16907/library", "kernel_id": "32180"}, {"ref": "suny16907/notebook-6e2a739e64a54a288db8", "kernel_id": "32176"}, {"ref": "suny16907/notebook-44da80ba66f523348e1a", "kernel_id": "32177"}, {"ref": "taozhou/tensorflow-deep-nn", "kernel_id": "67865"}, {"ref": "eashankadam/notebook-76243337634dd4517bb6", "kernel_id": "34700"}, {"ref": "eashankadam/notebook-c48eccc7cb26d6de14d3", "kernel_id": "34703"}, {"ref": "eashankadam/notebook-dfa14888fb4372a22645", "kernel_id": "34710"}, {"ref": "eashankadam/notebook-4c7acf9b3cafceef5ba5", "kernel_id": "34714"}, {"ref": "eashankadam/notebook-fd76496bd454dd299ebc", "kernel_id": "34715"}, {"ref": "eashankadam/test1", "kernel_id": "32451"}, {"ref": "eashankadam/notebook-9abcdc9c8d5d54414394", "kernel_id": "32596"}, {"ref": "eashankadam/notebook-d3ff3a43283e281b7bf9", "kernel_id": "32457"}, {"ref": "eashankadam/tensorflow-test", "kernel_id": "32459"}, {"ref": "eashankadam/notebook-de9436b8e75247f7723d", "kernel_id": "32460"}, {"ref": "eashankadam/notebook-423f3a7d87b2a1768744", "kernel_id": "32461"}, {"ref": "eashankadam/eashan-tnflow", "kernel_id": "32462"}, {"ref": "eashankadam/notebook-0ccb4617d4436041ce36", "kernel_id": "32463"}, {"ref": "eashankadam/notebook-d1e554f64e2cb65f2231", "kernel_id": "35840"}, {"ref": "eashankadam/notebook-ef851323ce14ed387090", "kernel_id": "35100"}, {"ref": "eashankadam/notebook-a0c85380ab6b776d4f66", "kernel_id": "35113"}, {"ref": "eashankadam/notebook-539f745d60fc61a97dff", "kernel_id": "38301"}, {"ref": "eashankadam/notebook-910a559fe7f286885e9b", "kernel_id": "38307"}, {"ref": "e1prampa/bpr-test", "kernel_id": "33129"}, {"ref": "gztsoul/digit-recognizer-in-python-using-cnn", "kernel_id": "32226"}, {"ref": "shijunshuai/notebook-6ad47e70f1e54548650a", "kernel_id": "32339"}, {"ref": "qwertykk/one-py", "kernel_id": "98286"}, {"ref": "ferbncode/digit-recognizer", "kernel_id": "122901"}, {"ref": "pablodeazevedo/tensorflow-deep-nn", "kernel_id": "79583"}, {"ref": "indureddy/practice1", "kernel_id": "227236"}, {"ref": "aisurta/digit-recognizer-by-minimum-norm", "kernel_id": "35355"}, {"ref": "aisurta/notebook-cb8f2a42e6e8ddfcca2e", "kernel_id": "35357"}, {"ref": "aisurta/digit-recognizer-with-minimum-norm", "kernel_id": "35358"}, {"ref": "aisurta/digit-recognizer-by-svm", "kernel_id": "61932"}, {"ref": "tharkun/notebook-754066e045e28388b614", "kernel_id": "38127"}, {"ref": "tharkun/test-script", "kernel_id": "175247"}, {"ref": "zhaochd/digittest", "kernel_id": "37354"}, {"ref": "zhaochd/notebook-20e2a7d0c720f81a8f8c", "kernel_id": "52797"}, {"ref": "zhaochd/notebook-fbcd850f059949abc360", "kernel_id": "52795"}, {"ref": "zhaochd/notebook-412e87d09846cd177a46", "kernel_id": "52773"}, {"ref": "zhaochd/digit-test", "kernel_id": "52775"}, {"ref": "zhaochd/notebook-c81e933e4206fa9f97f3", "kernel_id": "52779"}, {"ref": "zhaochd/notebook-bd60f95a6147af418015", "kernel_id": "52790"}, {"ref": "jojotenya/tensorflow-deep-nn", "kernel_id": "114197"}, {"ref": "testgor/image-from-array", "kernel_id": "70590"}, {"ref": "lorali44/notebook-2e513f95c39eb077c91a", "kernel_id": "32418"}, {"ref": "xpirate/hellotest", "kernel_id": "32435"}, {"ref": "xpirate/notebook-af757f49210277fcc321", "kernel_id": "32437"}, {"ref": "dkchaitanya/notebook3b2c97b1f6", "kernel_id": "142455"}, {"ref": "pbeben/first", "kernel_id": "161847"}, {"ref": "ahmade/notebook-e5d27c95f8aa62cf4822", "kernel_id": "32614"}, {"ref": "prathikhegde/a-beginner-s-approach-to-classification", "kernel_id": "227884"}, {"ref": "lijingpeng/notebook-5cb5664f69a97f3795d6", "kernel_id": "72609"}, {"ref": "fanshi118/tensorflow-deep-nn", "kernel_id": "37062"}, {"ref": "swordfishray/idontknowhowtonametitle", "kernel_id": "34381"}, {"ref": "ggadon/try01", "kernel_id": "33597"}, {"ref": "ggadon/check12", "kernel_id": "39861"}, {"ref": "ggadon/notebook-f0f8ce54c9e9a9b7461f", "kernel_id": "39869"}, {"ref": "ggadon/digitrecognizer101", "kernel_id": "39870"}, {"ref": "broejyrne/joe-csv", "kernel_id": "32803"}, {"ref": "smrutiranjan/introduction-to-cnn-keras-0-997-top-6-f96753", "kernel_id": "926667"}, {"ref": "bainjamain/tensorflow-deep-nn", "kernel_id": "38243"}, {"ref": "rudydkr/digit-test1", "kernel_id": "47353"}, {"ref": "zomidata/digit-recognizer-in-python-using-cnn", "kernel_id": "45430"}, {"ref": "camelshang/digit-recognizer-in-python-using-cnn", "kernel_id": "86673"}, {"ref": "fjvj1975/notebook-6b77f6a211c4eee7132d", "kernel_id": "50565"}, {"ref": "nathangoulding/train-and-test", "kernel_id": "33039"}, {"ref": "fumaozhao/digit", "kernel_id": "33093"}, {"ref": "zakiya/notebook-4dc9ce2071013839c672", "kernel_id": "33130"}, {"ref": "zakiya/random-forest-benchmark", "kernel_id": "33131"}, {"ref": "ankitkul/mnist-keras", "kernel_id": "246396"}, {"ref": "ankitkul/mnist-svm-beginner-s-approach", "kernel_id": "246327"}, {"ref": "ankitkul/mnist-problem-svm-beginner", "kernel_id": "246349"}, {"ref": "kerik45/tensorflow-deep-nn", "kernel_id": "35220"}, {"ref": "owenju1/first-kaggle-project-mnist", "kernel_id": "280479"}, {"ref": "holt0102/testscript-digitrecognizer", "kernel_id": "33234"}, {"ref": "holt0102/notebook-70c3db28115d56a3eae6", "kernel_id": "33388"}, {"ref": "holt0102/notebook-ab033202457d58a43b19", "kernel_id": "34233"}, {"ref": "holt0102/notebook-156a32f3b19cab8281b2", "kernel_id": "34234"}, {"ref": "oblivionxx/notebookca200095d3", "kernel_id": "209248"}, {"ref": "pvarma/my-first-script-in-kaggle", "kernel_id": "55544"}, {"ref": "manishsannat/knn-from-scratch-in-python-at-97-1", "kernel_id": "100494"}, {"ref": "zhuyuhe/dsdafa", "kernel_id": "68891"}, {"ref": "andersp/notebook-eba452491884f8b3f789", "kernel_id": "33347"}, {"ref": "askformyhand/101-digits-rec-160313", "kernel_id": "46391"}, {"ref": "askformyhand/xxxxxx", "kernel_id": "46401"}, {"ref": "askformyhand/xoxoxox", "kernel_id": "46402"}, {"ref": "eunjilee/tensorflow-deep-nn", "kernel_id": "63891"}, {"ref": "wangbing1118/notebook052a687eba", "kernel_id": "240965"}, {"ref": "shihhaolin/notebooka41e3f2196", "kernel_id": "242143"}, {"ref": "wangkai/pixel-mean-and-variances-by-digit", "kernel_id": "81490"}, {"ref": "labon2016/notebookdc2be899a9", "kernel_id": "272998"}, {"ref": "himingway/notebook-6d61a6a3b508732e7663", "kernel_id": "33513"}, {"ref": "himingway/notebook-502b57e76744e6298688", "kernel_id": "33514"}, {"ref": "himingway/notebook-b5141d6f4e02aa0cab75", "kernel_id": "33515"}, {"ref": "atalapatra/tensorflow-deep-nn", "kernel_id": "50001"}, {"ref": "fightting/notebook-0555c22993c627d425f1", "kernel_id": "33478"}, {"ref": "fightting/notebook-2a60be218c17923e3a1c", "kernel_id": "33479"}, {"ref": "fightting/notebook-5044466de9318a6a8629", "kernel_id": "33480"}, {"ref": "hegupta/hgscript", "kernel_id": "34462"}, {"ref": "cd12631/using-r-and-tensorflow-to-build-cnn", "kernel_id": "427055"}, {"ref": "giribhushan/myfirstr", "kernel_id": "79423"}, {"ref": "wpmoradi/tensorflow-deep-nn", "kernel_id": "43047"}, {"ref": "barty777/notebook-b167cedaec121e3fb5dd", "kernel_id": "33763"}, {"ref": "chh931118/notebook-6802f736225554e6c722", "kernel_id": "63978"}, {"ref": "ryangao/boosted-trees", "kernel_id": "66206"}, {"ref": "dbykov/notebook-353fb47af8b7b252f414", "kernel_id": "63583"}, {"ref": "dbykov/notebook-23d067c30ec7e764e5d9", "kernel_id": "63584"}, {"ref": "xfsnowind/tensorflow-softmax-regression-deep-nn", "kernel_id": "33888"}, {"ref": "xfsnowind/notebook-fd039b89c1185b9c0dd9", "kernel_id": "33889"}, {"ref": "xfsnowind/notebook-8c3198f61ca330e22267", "kernel_id": "33890"}, {"ref": "ldontlt/tensorflow-softmax-regression-deep-nn", "kernel_id": "34863"}, {"ref": "ldontlt/random-forest-benchmark", "kernel_id": "34829"}, {"ref": "ldontlt/ldont", "kernel_id": "34022"}, {"ref": "shaansheikh/notebook-16f4455e01c0a04cc29d", "kernel_id": "33939"}, {"ref": "shaansheikh/notebook-9e129abf4ce35b5d0205", "kernel_id": "33940"}, {"ref": "rengaosheng/notebook-197fad0eea86e8dfd4e1", "kernel_id": "62821"}, {"ref": "wongalan2002/rcodetesting", "kernel_id": "47079"}, {"ref": "wongalan2002/mnist-with-pca-and-neural-network", "kernel_id": "70783"}, {"ref": "volcano/notebook-5fa7ea0d7cad99fb3735", "kernel_id": "34325"}, {"ref": "volcano/test-it", "kernel_id": "34075"}, {"ref": "keewonma/tensorflow-softmax-regression-deep-nn", "kernel_id": "34130"}, {"ref": "keewonma/minst", "kernel_id": "52270"}, {"ref": "denkuzin/tensorflow-example", "kernel_id": "259579"}, {"ref": "shankar3095/knn-from-scratch-in-python-at-97-1", "kernel_id": "99204"}, {"ref": "maramos/my-first-notebook", "kernel_id": "222534"}, {"ref": "mfleon/tensorflow-softmax-regression-deep-nn", "kernel_id": "34944"}, {"ref": "mfleon/notebook-089208d1014f94e0b78a", "kernel_id": "36237"}, {"ref": "valenkof/notebook-39d1093041fa244861dd", "kernel_id": "34267"}, {"ref": "filatenkova/notebook-c54ae85a530793114d6a", "kernel_id": "51078"}, {"ref": "filatenkova/notebook-9cf15fb576318af1a26c", "kernel_id": "51079"}, {"ref": "filatenkova/notebook-c244a7b3877af7f300a9", "kernel_id": "49960"}, {"ref": "filatenkova/notebook-26c970365c9c054ded22", "kernel_id": "49718"}, {"ref": "filatenkova/digit-read", "kernel_id": "49715"}, {"ref": "filatenkova/notebook-6676ed7d2099c2b8564c", "kernel_id": "49727"}, {"ref": "filatenkova/notebook-6483336dd2d16ca8d690", "kernel_id": "62764"}, {"ref": "zhujo01/notebook-155dacc51a7f40ec8122", "kernel_id": "35542"}, {"ref": "zhujo01/notebook-49f036f2039b947ca963", "kernel_id": "35642"}, {"ref": "zhujo01/notebook-46cc473d1c6ef0d4751d", "kernel_id": "35654"}, {"ref": "zhujo01/notebook-76cefeb3d38113f129be", "kernel_id": "35698"}, {"ref": "zhujo01/notebook-a45e7ec5aeafced35ed2", "kernel_id": "35825"}, {"ref": "zhujo01/notebook-c79ec9f5fa1a0a5e5b43", "kernel_id": "35361"}, {"ref": "zhujo01/notebook-5acf5b848e08c3aeed9e", "kernel_id": "35460"}, {"ref": "zhujo01/notebook-db7e707971201fbc1a9e", "kernel_id": "35193"}, {"ref": "zhujo01/notebook-51ad85bcef4337f618fa", "kernel_id": "35102"}, {"ref": "zhujo01/tensorflow-deep-nn", "kernel_id": "36117"}, {"ref": "zhujo01/notebook-676d7f4107df6656f66b", "kernel_id": "36118"}, {"ref": "zhujo01/notebook-4ca5483f875e3e94920b", "kernel_id": "36119"}, {"ref": "zhujo01/notebook-6eacb0062529722a553c", "kernel_id": "36120"}, {"ref": "zhujo01/notebook-06fc70104f0b12ebff55", "kernel_id": "36121"}, {"ref": "zhujo01/notebook-60bf247c2b5a2b968978", "kernel_id": "34932"}, {"ref": "zhujo01/tensorflow-softmax-regression-deep-nn", "kernel_id": "34803"}, {"ref": "lanbai001/notebook-53fc40b41671ffecce76", "kernel_id": "37077"}, {"ref": "sammyshinde14/notebook-74a3e696ec124d69484d", "kernel_id": "35108"}, {"ref": "sammyshinde14/notebook-38a64c45b4ca0fb820c7", "kernel_id": "36479"}, {"ref": "sammyshinde14/notebook-b653c01116217af14e17", "kernel_id": "36469"}, {"ref": "sammyshinde14/notebook-e6b6c8c3d1f05e727d88", "kernel_id": "36466"}, {"ref": "sammyshinde14/notebook-fe37e9c9b52a04ba00be", "kernel_id": "36869"}, {"ref": "sammyshinde14/tensorflow-test", "kernel_id": "36860"}, {"ref": "sammyshinde14/notebook-f49b834bdc03dd48bc26", "kernel_id": "38263"}, {"ref": "sammyshinde14/test1", "kernel_id": "38265"}, {"ref": "sammyshinde14/digit-recognizer", "kernel_id": "38266"}, {"ref": "sammyshinde14/notebook-2b43e9c458e2ddb5114c", "kernel_id": "34711"}, {"ref": "shahhena95/notebook-305097ef6cd93c1ea4bf", "kernel_id": "35106"}, {"ref": "shahhena95/notebook-1a022f011741c96d524b", "kernel_id": "34708"}, {"ref": "tianhuan/notebook-f97f2027c4b96e734fb3", "kernel_id": "39855"}, {"ref": "mpelland/testing-1", "kernel_id": "40322"}, {"ref": "sharmaparth17/ibm-hack", "kernel_id": "99272"}, {"ref": "pvomelveny/notebookfd9d9a18ff", "kernel_id": "152019"}, {"ref": "boomanaiden154/kmeans-clustering", "kernel_id": "98602"}, {"ref": "michaelgalarnyk/tensorflow-softmax-regression-deep-nn", "kernel_id": "34836"}, {"ref": "rishikksh20/notebook-a11d193cc3fcd522776f", "kernel_id": "61465"}, {"ref": "pragati11/digitrecognizer", "kernel_id": "34884"}, {"ref": "euhwang/eugene-hwang", "kernel_id": "50672"}, {"ref": "euhwang/notebook-6889d6758e1542c7e239", "kernel_id": "50667"}, {"ref": "euhwang/notebook-89ae1c2ec6c2892159a2", "kernel_id": "50681"}, {"ref": "euhwang/notebook-41952c3a16d709e9cdae", "kernel_id": "50682"}, {"ref": "euhwang/tensorflow-deep-nn", "kernel_id": "50620"}, {"ref": "ming030890/notebook-7c8c47cf834609267ad0", "kernel_id": "34963"}, {"ref": "ming030890/notebook-da0c09e58662bcef2d92", "kernel_id": "34964"}, {"ref": "ming030890/notebook-2102d29e632eb14794c6", "kernel_id": "34965"}, {"ref": "ming030890/notebook-dcde1321b00b9f349481", "kernel_id": "34966"}, {"ref": "ming030890/notebook-f72c851bae07a80eb5f4", "kernel_id": "34968"}, {"ref": "ming030890/notebook-11930d88faa13e7f38fa", "kernel_id": "34995"}, {"ref": "ming030890/notebook-a7b4da5864ccfc9c32e0", "kernel_id": "34996"}, {"ref": "ming030890/notebook-aee8eaab8bae5e49d179", "kernel_id": "36035"}, {"ref": "jeffmacaluso/notebook-663c1e40f8d199b33b14", "kernel_id": "35447"}, {"ref": "jeffmacaluso/notebook-b7c93f5de964c71886f3", "kernel_id": "35448"}, {"ref": "jeffmacaluso/notebook-2e8d9d06b7c02d98dd2f", "kernel_id": "35454"}, {"ref": "jeffmacaluso/notebook-adf30b3f35d8e94237ba", "kernel_id": "35445"}, {"ref": "chiragyadav/notebook-0aaec6b3a320157d935b", "kernel_id": "53669"}, {"ref": "pkelleher/digitrecognizer", "kernel_id": "35080"}, {"ref": "berandon/notebook56e7c27a15", "kernel_id": "220854"}, {"ref": "berandon/digit-recognizer-in-python-using-cnn", "kernel_id": "198174"}, {"ref": "wendyzhang1020/notebook-2aa85b60bf2912e18948", "kernel_id": "49574"}, {"ref": "blakholesun/notebook-11a7b2bd5af68a4e5363", "kernel_id": "45702"}, {"ref": "mlanier/keras-mnist", "kernel_id": "64394"}, {"ref": "parism/tensorflow-deep-nn", "kernel_id": "35120"}, {"ref": "parism/notebook-8959ab2923eb57bd34e0", "kernel_id": "35246"}, {"ref": "parism/notebook-d4ea79c6cb081ae57094", "kernel_id": "35570"}, {"ref": "parism/notebook-1a878a5a4a5cb35816cf", "kernel_id": "35571"}, {"ref": "geofly/tensorflow-deep-nn", "kernel_id": "169626"}, {"ref": "geofly/digit-recognizer-in-python-using-cnn", "kernel_id": "169653"}, {"ref": "piotrtrochim/tensorflow-mnist-classifier", "kernel_id": "187457"}, {"ref": "mhz1996/notebook-8e387f4f229de3f530f5", "kernel_id": "73978"}, {"ref": "presario/notebook3b56be5247", "kernel_id": "176457"}, {"ref": "larocca/interactive-intro-to-dimensionality-reduction", "kernel_id": "174301"}, {"ref": "ikkebr/1st-py", "kernel_id": "35203"}, {"ref": "palexis/digitrecognition", "kernel_id": "51919"}, {"ref": "postrocker/notebook-fb04ef73b4a7dd173626", "kernel_id": "63977"}, {"ref": "postrocker/pca-svm", "kernel_id": "70345"}, {"ref": "pritesh/example-handwritten-digits", "kernel_id": "55009"}, {"ref": "vizualni/testa", "kernel_id": "35752"}, {"ref": "bekemil/tensorflow-deep-nn", "kernel_id": "162376"}, {"ref": "haerick/notebook-62161ebfe9deae42f4ac", "kernel_id": "36231"}, {"ref": "haerick/test2", "kernel_id": "36229"}, {"ref": "m13r23/tensorflow-keras-cnn-with-data-augmentation", "kernel_id": "52414"}, {"ref": "rmtogether/yftest", "kernel_id": "211880"}, {"ref": "rlemasquerier/tensorflow-deep-nn-7eb55657", "kernel_id": "122560"}, {"ref": "rlemasquerier/test-nn", "kernel_id": "122563"}, {"ref": "rlemasquerier/tensor-flow-test", "kernel_id": "122501"}, {"ref": "rlemasquerier/notebookc622b392a9", "kernel_id": "122492"}, {"ref": "soulcoder/tensorflow-deep-nn", "kernel_id": "100009"}, {"ref": "sikaiwang/digitr-svm-pca-py", "kernel_id": "100557"}, {"ref": "sikaiwang/quick-look-at-the-digits-data", "kernel_id": "100774"}, {"ref": "xl1393/notebook-04320dea32741bf4d360", "kernel_id": "35577"}, {"ref": "liujxing/notebook-74df2b851dbb37e75b2d", "kernel_id": "38989"}, {"ref": "eastene/notebook5561d9d8a6", "kernel_id": "253502"}, {"ref": "yidhir/visualisation", "kernel_id": "43997"}, {"ref": "yidhir/testing-svm", "kernel_id": "43448"}, {"ref": "yidhir/starting-with-nearest-neighbour", "kernel_id": "41268"}, {"ref": "yidhir/notebook-d680b00d4e281109e488", "kernel_id": "40710"}, {"ref": "yidhir/randomforest", "kernel_id": "40711"}, {"ref": "tsrajack/deep-neural-network-keras-way-9e9228", "kernel_id": "271761"}, {"ref": "noobsdatalab/digit-recognizer-in-python-using-cnn", "kernel_id": "45842"}, {"ref": "jike321/notebook-7aa057cebb8265d56378", "kernel_id": "43974"}, {"ref": "jike321/notebook-374d35a3d722f63da28d", "kernel_id": "43975"}, {"ref": "jike321/mnist", "kernel_id": "43976"}, {"ref": "jike321/notebook42c66f5c88", "kernel_id": "104238"}, {"ref": "giranntu/notebook-39aa2621faebf61ed554", "kernel_id": "35993"}, {"ref": "giranntu/testff", "kernel_id": "35983"}, {"ref": "giranntu/notebook-7fa1fa00ee88b51ed5b2", "kernel_id": "35984"}, {"ref": "giranntu/residual-networks-and-mnistw", "kernel_id": "149068"}, {"ref": "burakyilmaz321/notebooke288221871", "kernel_id": "160355"}, {"ref": "bd569334590/notebook-e435b70f51a7e1cbf321", "kernel_id": "40601"}, {"ref": "gauss256/tensorflow-deep-nn", "kernel_id": "38311"}, {"ref": "linkxu/tensorflow-deep-nn", "kernel_id": "38299"}, {"ref": "plchung/rf-test1", "kernel_id": "348199"}, {"ref": "wanghui/knn-from-scratch-in-python-at-97-1", "kernel_id": "103125"}, {"ref": "nuclear/notebook4723d347cd", "kernel_id": "257972"}, {"ref": "siegmundwang/my-first-kernel", "kernel_id": "123725"}, {"ref": "thoolihan/notebook-d80018734e804652ee22", "kernel_id": "66408"}, {"ref": "thepup/tester", "kernel_id": "35939"}, {"ref": "toddsierens/convolutional-nn", "kernel_id": "36291"}, {"ref": "toddsierens/digit-recogniser-nn", "kernel_id": "36259"}, {"ref": "nehrkornludwig/plot-random-digits", "kernel_id": "65190"}, {"ref": "nehrkornludwig/first-rf", "kernel_id": "65197"}, {"ref": "nehrkornludwig/notebook-c10149d2e9fb110f39c9", "kernel_id": "65187"}, {"ref": "nehrkornludwig/read-data", "kernel_id": "65188"}, {"ref": "ablaikie/notebookec81e7ac94", "kernel_id": "158397"}, {"ref": "ablaikie/notebookccf201651f", "kernel_id": "158833"}, {"ref": "ablaikie/notebook2a93ab130d", "kernel_id": "160240"}, {"ref": "ablaikie/practice-theano-logistic-regression", "kernel_id": "161788"}, {"ref": "wzhwwhy/notebook0d12bce930", "kernel_id": "364746"}, {"ref": "jackspk/notebook-df44d19f5a9b9521d2bd", "kernel_id": "61788"}, {"ref": "jackspk/tensorflow-deep-nn-testing", "kernel_id": "61789"}, {"ref": "jackspk/notebook-c3091fd40ae4377457ad", "kernel_id": "61790"}, {"ref": "jackspk/notebook-6994fc663ba4ad5d937d", "kernel_id": "61791"}, {"ref": "chetanreddy/digit-recognizer-in-python-using-cnn", "kernel_id": "264830"}, {"ref": "kcai156/testingdescriptive", "kernel_id": "37312"}, {"ref": "khurshid/knn-96-8-accuracy", "kernel_id": "153424"}, {"ref": "corochann/deep-learning-cnn-with-chainer-lb-0-99700", "kernel_id": "467167"}, {"ref": "corochann/simple-deep-learning-with-chainer-by-sklearn-if", "kernel_id": "401627"}, {"ref": "alexdlm/test-digit", "kernel_id": "155545"}, {"ref": "ctilli/digit-recognizer-in-python-using-cnn", "kernel_id": "50901"}, {"ref": "auzyze/svm-for-digits-recognition", "kernel_id": "56881"}, {"ref": "salokr/a-simple-cnn-knn-based-model-to-get-99-score", "kernel_id": "389373"}, {"ref": "forsaint/notebook-c0979867eb857beb78b9", "kernel_id": "71362"}, {"ref": "forsaint/numberrecog", "kernel_id": "71364"}, {"ref": "horizon7/fast-lenet5-cnn-in-theano-for-gpu", "kernel_id": "36621"}, {"ref": "ibrahimsobh/tensorflow-deep-nn", "kernel_id": "43508"}, {"ref": "ibrahimsobh/digit-recognizer-in-python-using-cnn", "kernel_id": "36725"}, {"ref": "spmohanty/notebook-f0582b97c8a44897c7aa", "kernel_id": "37121"}, {"ref": "asikowitz/python-digits", "kernel_id": "37009"}, {"ref": "huangruoyu/doppler", "kernel_id": "373819"}, {"ref": "xytenski/my-first-kaggle-script", "kernel_id": "37043"}, {"ref": "orenmeiri/digit-recognition", "kernel_id": "38881"}, {"ref": "epattaro/comparing-random-forest-pca-and-knn", "kernel_id": "175846"}, {"ref": "epattaro/manifold-learning-and-autoencoders", "kernel_id": "175837"}, {"ref": "epattaro/conv-net-on-only-2-features", "kernel_id": "175844"}, {"ref": "kingali/notebook-934c021f8af1b0a98660", "kernel_id": "36981"}, {"ref": "kingali/notebook-b17205ce6e54e558e5ba", "kernel_id": "36982"}, {"ref": "kingali/classifier1", "kernel_id": "36984"}, {"ref": "ftrestour/notebooke7884f27f4", "kernel_id": "89516"}, {"ref": "bvdboom/tensorflow-deep-nn", "kernel_id": "106586"}, {"ref": "boyinggong/notebook-103ac36305e23c203a46", "kernel_id": "37023"}, {"ref": "j4jaunty/digittest", "kernel_id": "37182"}, {"ref": "jckhang/digit-recognizer", "kernel_id": "82012"}, {"ref": "jckhang/notebook-03d73b755eebb1ea80cd", "kernel_id": "82082"}, {"ref": "jckhang/notebook-0524af733573bd172df6", "kernel_id": "82090"}, {"ref": "jckhang/notebook-7b7ab277a79a6263f193", "kernel_id": "82059"}, {"ref": "djcotter/notebook-79513f7c4b8f875e02d8", "kernel_id": "37376"}, {"ref": "bhuvy1/notebook-0323b17e59c9ef5e5c99", "kernel_id": "70508"}, {"ref": "foxpowa/digit-recognizer-in-python-using-cnn", "kernel_id": "99995"}, {"ref": "ywceric/notebook-4779bb063b73c14e46d3", "kernel_id": "44465"}, {"ref": "ywceric/notebook-2d95d3daa4f9ffe5f574", "kernel_id": "44466"}, {"ref": "ywceric/testing-to-see-how-it-works", "kernel_id": "44467"}, {"ref": "ywceric/notebook-beadc294347c222ccff7", "kernel_id": "44463"}, {"ref": "ywceric/testing-to-see-how-this-works", "kernel_id": "53018"}, {"ref": "bradclymer/tensorflow-deep-nn", "kernel_id": "48699"}, {"ref": "bradclymer/notebook-b083f9e2bf7f8bb855bd", "kernel_id": "50289"}, {"ref": "bradclymer/notebook-3dc75650a8f22da41cae", "kernel_id": "49141"}, {"ref": "bradclymer/notebook-706291d34cfc76052882", "kernel_id": "49819"}, {"ref": "bradclymer/notebook-d3746e115ec863bb85e7", "kernel_id": "49798"}, {"ref": "bradclymer/notebook-408c637b089bbeda26ed", "kernel_id": "49538"}, {"ref": "bradclymer/notebook-55c764fcb3c37f361e26", "kernel_id": "52221"}, {"ref": "bradclymer/notebook-199ec64f19fb186bceef", "kernel_id": "52359"}, {"ref": "bradclymer/notebook-b61ae35aa1b885ff1f65", "kernel_id": "51976"}, {"ref": "bradclymer/notebook-39565ceeb95d836963c0", "kernel_id": "51762"}, {"ref": "ericboris/tensorflow-deep-nn", "kernel_id": "37962"}, {"ref": "ericboris/notebook-5621a56c38983756ba75", "kernel_id": "37963"}, {"ref": "ericboris/notebook-26909244f34a435a6454", "kernel_id": "37964"}, {"ref": "ericboris/notebook-15e68bdd40d75e2548fb", "kernel_id": "37965"}, {"ref": "ericboris/notebook-197085ca4551f805fdf4", "kernel_id": "37959"}, {"ref": "gtrimarc/notebook0243f2e466", "kernel_id": "274042"}, {"ref": "gtrimarc/notebook350e446df3", "kernel_id": "143760"}, {"ref": "gtrimarc/notebooke950dfe663", "kernel_id": "145556"}, {"ref": "gtrimarc/interactive-intro-to-dimensionality-reduction", "kernel_id": "169424"}, {"ref": "vishalsubbiah/logistic-regression", "kernel_id": "200940"}, {"ref": "vishalsubbiah/pytorch-cnn-for-mnist", "kernel_id": "262715"}, {"ref": "alexphillipmartinez/my-first-python-script-for-digits", "kernel_id": "43832"}, {"ref": "alexphillipmartinez/notebook509861e514", "kernel_id": "102501"}, {"ref": "alexphillipmartinez/digitreader", "kernel_id": "106707"}, {"ref": "nsemianenka/notebook-2391ed6174640ed05f2c", "kernel_id": "37617"}, {"ref": "hakanyaz/notebook-871573f987174f3d1479", "kernel_id": "37733"}, {"ref": "snteah/notebook-9db8ac2de782e569920e", "kernel_id": "73841"}, {"ref": "drjoness/testt", "kernel_id": "38189"}, {"ref": "utilisateur/notebook-22467bf9a4a8bd716fd3", "kernel_id": "39354"}, {"ref": "utilisateur/notebook-e281a585069b29bda2b6", "kernel_id": "39355"}, {"ref": "utilisateur/digit-recognizer-test1", "kernel_id": "39356"}, {"ref": "utilisateur/notebook-8431bec64c2d1db54458", "kernel_id": "40568"}, {"ref": "utilisateur/digit-recognizer-test2", "kernel_id": "40569"}, {"ref": "perdox/beginner-nn-recognizer-with-tensorflow-in-python", "kernel_id": "266386"}, {"ref": "elisasalamanca/tensorflow-deep-nn", "kernel_id": "121349"}, {"ref": "alejandrorivas/notebook-d951b2c3cbdd2fbb7141", "kernel_id": "63997"}, {"ref": "tedrand/notebook9bdfa9ec9b", "kernel_id": "100274"}, {"ref": "tedrand/initial-svm-pca", "kernel_id": "78051"}, {"ref": "tottokug/notebook-24e1c3646e5cddde2c48", "kernel_id": "38202"}, {"ref": "chaos12/very-simple-classification-tutorial-with-svc", "kernel_id": "183477"}, {"ref": "yaminikandamani/notebook-0d0b65a383c8a60689f1", "kernel_id": "69059"}, {"ref": "inactivatedvirus/digit-recognizer-in-r", "kernel_id": "39178"}, {"ref": "inactivatedvirus/notebook-a12cea1a74d9334dbaf9", "kernel_id": "39168"}, {"ref": "karolu/first-try", "kernel_id": "101648"}, {"ref": "murashin/digit-recognizer", "kernel_id": "38670"}, {"ref": "murashin/digit-recognition", "kernel_id": "38671"}, {"ref": "aagundez/notebookcb07b52da0", "kernel_id": "272794"}, {"ref": "alvarojoao/notebook-1b635a51a9a6883f3f5a", "kernel_id": "66599"}, {"ref": "alvarojoao/notebook-9853dcab7f0d77cb0a2d", "kernel_id": "66441"}, {"ref": "alvarojoao/notebook-265a76e53ddc7146b614", "kernel_id": "66442"}, {"ref": "alvarojoao/notebook-fe8741c9b4b541f4907d", "kernel_id": "67676"}, {"ref": "elcocodrilo/tensorflow-deep-nn", "kernel_id": "121810"}, {"ref": "osmanh/notebook-8cce315a9f6974d36d3c", "kernel_id": "50840"}, {"ref": "osmanh/notebook-ff403fa9786b82a40b57", "kernel_id": "53036"}, {"ref": "osmanh/notebook-a95e984908d8a7c45547", "kernel_id": "51441"}, {"ref": "iblard/notebook-a3de927dfe1723e06030", "kernel_id": "63275"}, {"ref": "iblard/testss", "kernel_id": "63277"}, {"ref": "iblard/notebook-50533b30858307613312", "kernel_id": "63278"}, {"ref": "iblard/notebook-4d6d120c3cc2b557e151", "kernel_id": "63273"}, {"ref": "goozky/try-on-xgboost", "kernel_id": "91978"}, {"ref": "goozky/try-on-xgb", "kernel_id": "91987"}, {"ref": "shengbaodong/tensorflow-deep-nn", "kernel_id": "56621"}, {"ref": "shengbaodong/notebook-8cb276d0cbc612f032fe", "kernel_id": "60037"}, {"ref": "anandpatel9998/notebookc6440e0635", "kernel_id": "213796"}, {"ref": "sebwbr/notebookbc428bb08c", "kernel_id": "101455"}, {"ref": "danielpv/digit-recognizer-in-python-using-cnn", "kernel_id": "38763"}, {"ref": "newman123/notebook8d07c50b97", "kernel_id": "268884"}, {"ref": "fountainoy/notebook-6e7c76231c7bf8332ef0", "kernel_id": "70529"}, {"ref": "joselmgo/notebook-0bea59dc0beb55ece8ae", "kernel_id": "43414"}, {"ref": "clechristophe/notebook-2460caf3a2620277abe2", "kernel_id": "64024"}, {"ref": "aparmar/mnist-1", "kernel_id": "41651"}, {"ref": "glenchao/tensorflow-deep-nn", "kernel_id": "39138"}, {"ref": "glenchao/notebook-f4b234ee17cf50bb0de5", "kernel_id": "53974"}, {"ref": "byeonggeonko/simple-deep-mlp-with-keras", "kernel_id": "40671"}, {"ref": "shahrukh/test-d1", "kernel_id": "39442"}, {"ref": "vihangpatil/benchmark-simplest-neural-network", "kernel_id": "122217"}, {"ref": "vihangpatil/deep-convolutional-n-w", "kernel_id": "122211"}, {"ref": "vihangpatil/deep-convolutional-network-using-keras", "kernel_id": "151721"}, {"ref": "takuyasakaguchi/notebook198844bf55", "kernel_id": "94190"}, {"ref": "takuyasakaguchi/tensorflow-deep-nn", "kernel_id": "61403"}, {"ref": "luenebus/digit-recognizer-in-python-using-cnn", "kernel_id": "48199"}, {"ref": "tsvetk0ff/trying-digits", "kernel_id": "87295"}, {"ref": "imaginationsuper/handwriting", "kernel_id": "66080"}, {"ref": "vishal1/notebook-4587b6323e9a400f50e9", "kernel_id": "50101"}, {"ref": "aryadav/mnist-with-cnn-0-99157-score", "kernel_id": "141067"}, {"ref": "aryadav/tensorflow-deep-nn-89f495b5", "kernel_id": "167623"}, {"ref": "ramkrishna19/digit-recognizer-in-python-using-cnn", "kernel_id": "60865"}, {"ref": "julianneeleman/mnist", "kernel_id": "39567"}, {"ref": "raibaz/notebook-eb1c50f623649389ecb8", "kernel_id": "42840"}, {"ref": "raibaz/tensorflow-deep-nn", "kernel_id": "42828"}, {"ref": "thallesbarba/thalles1st-titanic", "kernel_id": "123122"}, {"ref": "ccrypticc/testing-kaggle", "kernel_id": "39589"}, {"ref": "milindaj/notebook-9c14fc7cd49b80fd54f1", "kernel_id": "39857"}, {"ref": "merecommunication/notebook-e462b2ae30b319ab4e37", "kernel_id": "39937"}, {"ref": "merecommunication/notebook-683f9308034a2276b7aa", "kernel_id": "39938"}, {"ref": "merecommunication/first-review-not-useful", "kernel_id": "39939"}, {"ref": "iellabib/digit-recognizer-in-python-using-cnn", "kernel_id": "45932"}, {"ref": "iellabib/notebook-d8284958e10cd64d9113", "kernel_id": "45933"}, {"ref": "mhutchings/digit-recognizer-in-python-using-cnn", "kernel_id": "46817"}, {"ref": "w1305222/ngdrigjrdo", "kernel_id": "40331"}, {"ref": "dcs1308554/notebook-aa2a83edac70a5dbf7b4", "kernel_id": "40323"}, {"ref": "dcs1308554/tensorflow-deep-nn", "kernel_id": "40329"}, {"ref": "dcs1308554/notebook-21ae46bbb545b4584bf1", "kernel_id": "40330"}, {"ref": "dcs1308554/notebook-5b64e9297eb19911bae5", "kernel_id": "43123"}, {"ref": "dcs1308554/notebook-114c6ad27d9d805162f4", "kernel_id": "43124"}, {"ref": "tom1209917/notebook-a3f1d21ab02d9eca4fa5", "kernel_id": "46655"}, {"ref": "sudosudoohio/digit-recognizer-with-cnn-on-keras", "kernel_id": "306733"}, {"ref": "dhruvilshah/first", "kernel_id": "95765"}, {"ref": "danielzhu/ipython-test", "kernel_id": "43106"}, {"ref": "danielzhu/notebook-bc6a5804a8bd59a0223f", "kernel_id": "43592"}, {"ref": "danielzhu/notebook-0dd9f05173c229461b0b", "kernel_id": "43593"}, {"ref": "mh1311352/notebook-8876e9037c1af29baa79", "kernel_id": "49205"}, {"ref": "mh1311352/notebook-1c8005994c340e35e777", "kernel_id": "48640"}, {"ref": "alangdon1302539/notebook-3b44bfc4c97b19c85f9c", "kernel_id": "40862"}, {"ref": "alangdon1302539/notebook-7ebe5dcfb3dc1062723d", "kernel_id": "44392"}, {"ref": "u1560268/digit-recognizer-in-python-using-cnn", "kernel_id": "45900"}, {"ref": "u1560268/notebook-a3d39086ccedf0fe3465", "kernel_id": "45854"}, {"ref": "u1560268/jonascnn", "kernel_id": "45917"}, {"ref": "piotrdab/notebooke451facf65", "kernel_id": "91557"}, {"ref": "jizheng/ann-v1", "kernel_id": "40159"}, {"ref": "jizheng/notebook-a2a055f0f558295b6d15", "kernel_id": "40160"}, {"ref": "kl1316703/notebook-63a30c059b7ce08acc7c", "kernel_id": "46463"}, {"ref": "kl1316703/notebook-bfb5fbf0d2f2ff0a5bda", "kernel_id": "43900"}, {"ref": "kl1316703/notebook-d24ea661f0f8ae51c4a6", "kernel_id": "43913"}, {"ref": "kl1316703/notebook-ab18052be45187d3b77a", "kernel_id": "43914"}, {"ref": "kl1316703/notebook-38f75ae2dcf2870c658d", "kernel_id": "43915"}, {"ref": "kl1316703/notebook-aa20a4a0b02223649b7c", "kernel_id": "47015"}, {"ref": "hosaka/digit-recognizer", "kernel_id": "255952"}, {"ref": "cacruzl/digit-recognizer-in-python-using-cnn", "kernel_id": "127620"}, {"ref": "leenas/notebookfc0bc8b5af", "kernel_id": "92354"}, {"ref": "leenas/digit-recognizer-in-python-using-cnn", "kernel_id": "92381"}, {"ref": "w1312358/bettertree", "kernel_id": "40332"}, {"ref": "w1312358/kaggle-submission", "kernel_id": "46980"}, {"ref": "rd1316621/notebook-e74f85e028a602106220", "kernel_id": "43660"}, {"ref": "rd1316621/notebook-58193aeb9309c3863d01", "kernel_id": "43715"}, {"ref": "rd1316621/notebook-aac990c42a58b6ba841b", "kernel_id": "41489"}, {"ref": "kerrabi/digit-recognizer", "kernel_id": "40661"}, {"ref": "jwyatt1311168/notebook-bf7db4ccef82de3b5a3f", "kernel_id": "40692"}, {"ref": "bumohd/notebook-ea4860eed15fd14ef998", "kernel_id": "60840"}, {"ref": "thechadd/notebook-493694ae98b06a78b3d0", "kernel_id": "46957"}, {"ref": "thechadd/notebook-b01f62e990290d150a40", "kernel_id": "46958"}, {"ref": "christopherf/comp-practice", "kernel_id": "40606"}, {"ref": "jaychu/digit-recognizer-in-r", "kernel_id": "45400"}, {"ref": "jaychu/notebook-3909821c1f4da29eedb3", "kernel_id": "45403"}, {"ref": "sun1507/random-forest-mnc-k-nn-which-goes-best", "kernel_id": "170526"}, {"ref": "ngundotra/fully-connected-neural-network", "kernel_id": "262642"}, {"ref": "abhiagwl1010/notebook7803a46204", "kernel_id": "95495"}, {"ref": "ec1301124/notebook-b2071496cf27e4784e6a", "kernel_id": "44954"}, {"ref": "ec1301124/notebook-781853e08ef199052193", "kernel_id": "43282"}, {"ref": "ec1301124/notebook-35663cbd41a86ded45d1", "kernel_id": "43400"}, {"ref": "ec1301124/notebook-cb3db7a151ff5e9cad64", "kernel_id": "45230"}, {"ref": "ec1301124/assignment2", "kernel_id": "46201"}, {"ref": "ec1301124/notebook-b541653201bf70bcd246", "kernel_id": "40759"}, {"ref": "ec1301124/notebook-073414d2ce64898e5357", "kernel_id": "40754"}, {"ref": "ec1301124/notebook-4f468c710063d90e67c0", "kernel_id": "43166"}, {"ref": "ec1301124/notebook-278fea52ce3121556ea6", "kernel_id": "43188"}, {"ref": "ec1301124/notebook-d2ecddb416367f60b9d9", "kernel_id": "43189"}, {"ref": "tan1308475/notebook-063ddefc4a47cbfec971", "kernel_id": "46187"}, {"ref": "magicinside/convolutional-nn-with-tensorflow", "kernel_id": "48307"}, {"ref": "magicinside/notebook-749b9daa3c9f7ac185b6", "kernel_id": "40717"}, {"ref": "magicinside/welldone", "kernel_id": "40719"}, {"ref": "dbcerigo/notebookd53b7c8e1b", "kernel_id": "114539"}, {"ref": "jayshil221b/script1-r", "kernel_id": "40791"}, {"ref": "joecloud/joecloudtest1", "kernel_id": "46067"}, {"ref": "meryemschalck/deep-neural-network-keras-way", "kernel_id": "256245"}, {"ref": "bananamuffin/notebook401ae9b6c4", "kernel_id": "100870"}, {"ref": "kikimiaouw/tensorflow-deep-nn", "kernel_id": "77470"}, {"ref": "d1catt/project001", "kernel_id": "41047"}, {"ref": "dariusalaska/notebook-9e86b509a9d322b7b585", "kernel_id": "67322"}, {"ref": "dariusalaska/notebook-7fa39e0854e6879091ba", "kernel_id": "67323"}, {"ref": "dariusalaska/notebook-2e64e832d675fb5138b6", "kernel_id": "66802"}, {"ref": "dariusalaska/tensorflow-deep-nn", "kernel_id": "66800"}, {"ref": "dariusalaska/notebook-22b4b294454b7cfc19ff", "kernel_id": "68382"}, {"ref": "dariusalaska/notebook-e704287bb9ebfaca49d4", "kernel_id": "68375"}, {"ref": "dariusalaska/me-try-keras", "kernel_id": "68317"}, {"ref": "rajvinar/a-beginner-s-approach-to-classification", "kernel_id": "255539"}, {"ref": "likemike/digit-recognizer-in-python-using-cnn", "kernel_id": "52159"}, {"ref": "rise3812/notebook-45721ed0da99b6272db6", "kernel_id": "42844"}, {"ref": "rise3812/notebook-65425ac2c840536549f4", "kernel_id": "42845"}, {"ref": "ml1303401/kaggletest", "kernel_id": "46150"}, {"ref": "cs1211246/assignment-2", "kernel_id": "41527"}, {"ref": "cs1211246/notebook-4776aa6dcd7751ff0750", "kernel_id": "46926"}, {"ref": "cs1211246/notebook-887a7eb30d3da14a245e", "kernel_id": "46666"}, {"ref": "cs1211246/notebook-4add7326c8611b03a1c2", "kernel_id": "45902"}, {"ref": "cs1211246/notebook-6cdbf9e26ade7ca7794e", "kernel_id": "44230"}, {"ref": "cs1211246/notebook-4e8431199af765f175c0", "kernel_id": "44027"}, {"ref": "cs1211246/notebook-93b6de768e4bd93e49b4", "kernel_id": "43977"}, {"ref": "cs1211246/notebook-a3ae92c2360ea377d253", "kernel_id": "43949"}, {"ref": "fabianmm04/notebook-68fe42c46027a1d51572", "kernel_id": "41579"}, {"ref": "fabianmm04/linear-regression", "kernel_id": "41580"}, {"ref": "fabianmm04/notebook-20cac6b0e6437c3bc60b", "kernel_id": "42713"}, {"ref": "fabianmm04/notebook-9406573e0f5724c9f40f", "kernel_id": "42714"}, {"ref": "fabianmm04/random-f2", "kernel_id": "42717"}, {"ref": "fabianmm04/notebook-8f016ee855b84fdbe015", "kernel_id": "43018"}, {"ref": "fabianmm04/notebook-5939877289b1592d36fe", "kernel_id": "43016"}, {"ref": "fabianmm04/linearregression", "kernel_id": "43020"}, {"ref": "fabianmm04/notebook-c9571e4a555f84ff0f95", "kernel_id": "65841"}, {"ref": "fabianmm04/notebookbef43f8088", "kernel_id": "165671"}, {"ref": "luke1315814/tensorflow-deep-nn", "kernel_id": "41571"}, {"ref": "luke1315814/notebook-758e8394c8012276f5f3", "kernel_id": "43897"}, {"ref": "luke1315814/notebook-051951b93ccf89bc3052", "kernel_id": "43514"}, {"ref": "luke1315814/notebook-985fae8dc8548b747527", "kernel_id": "43516"}, {"ref": "ermutuxia33/notebook-3dd0f77e1b287c228edc", "kernel_id": "42728"}, {"ref": "rollypants/test-script", "kernel_id": "46580"}, {"ref": "chengzhenghitwh/notebook-5cef2319b44f61765502", "kernel_id": "66490"}, {"ref": "chengzhenghitwh/notebook-42aa3a2bdff3afb53668", "kernel_id": "66491"}, {"ref": "freyman/nn-with-dropuot", "kernel_id": "264584"}, {"ref": "jiangqinhong/trial", "kernel_id": "115609"}, {"ref": "tompago/notebook37cd68eb10", "kernel_id": "133151"}, {"ref": "tompago/notebookc4e2f13c37", "kernel_id": "131496"}, {"ref": "tompago/digit-recognizer-in-python-using-cnn", "kernel_id": "124399"}, {"ref": "seirge/notebook-49b4a93fa614b931620c", "kernel_id": "82374"}, {"ref": "cxwintheworld/test-for", "kernel_id": "211163"}, {"ref": "cxwintheworld/test-xchen", "kernel_id": "211096"}, {"ref": "cxwintheworld/notebookc19e73933a", "kernel_id": "211081"}, {"ref": "luokai/tensorflow-deep-nn", "kernel_id": "89969"}, {"ref": "luokai/digit-recognizer-test", "kernel_id": "150594"}, {"ref": "letfly/notebook-1309db3baa63fff43e6d", "kernel_id": "49204"}, {"ref": "letfly/notebook-be8d39f72774a66e1e0d", "kernel_id": "49923"}, {"ref": "mabelvj/notebook-add32406dcaab30bf1d9", "kernel_id": "48123"}, {"ref": "csunbu1313518/notebook-44de2a22d0e1135c6b6c", "kernel_id": "46149"}, {"ref": "csunbu1313518/notebook-fe9188d21a750005735a", "kernel_id": "46159"}, {"ref": "csunbu1313518/tensorflow-deep-nn", "kernel_id": "43141"}, {"ref": "j1310662/notebook-39f1a62ee71c319f5c3e", "kernel_id": "43153"}, {"ref": "j1310662/notebook-bc819e90bbf465cd9588", "kernel_id": "43159"}, {"ref": "j1310662/notebook-77af2cc77bc4225155d8", "kernel_id": "43160"}, {"ref": "j1310662/graphlabel", "kernel_id": "43161"}, {"ref": "j1310662/random", "kernel_id": "43169"}, {"ref": "j1310662/testrun1", "kernel_id": "46389"}, {"ref": "j1310662/notebook-de00833b48925414ee5f", "kernel_id": "45124"}, {"ref": "derek11/tensorflow-deep-nn-8e288f", "kernel_id": "222908"}, {"ref": "jamesdg/notebook-3300d19090cbd02caf53", "kernel_id": "43289"}, {"ref": "yayan24/scikit-learn-vs-tensorflow-mlp-implementation", "kernel_id": "377983"}, {"ref": "good88/cnn-with-tensorflow", "kernel_id": "88705"}, {"ref": "ccourtot/script-101", "kernel_id": "43398"}, {"ref": "ccourtot/notebook", "kernel_id": "58647"}, {"ref": "ccourtot/notebook-85ba47d9fe619c783414", "kernel_id": "58654"}, {"ref": "ccourtot/sklearn-decision-tree-classifier", "kernel_id": "58656"}, {"ref": "ccourtot/sklearn-svm", "kernel_id": "58675"}, {"ref": "ccourtot/sklearn-decision-tree-classifier-2-0", "kernel_id": "58658"}, {"ref": "ccourtot/sklearn-adaboostclassifier", "kernel_id": "58688"}, {"ref": "faisalqureshi1310392/notebook-c5a431f0bbd559a80c80", "kernel_id": "43450"}, {"ref": "faisalqureshi1310392/assignment2", "kernel_id": "43451"}, {"ref": "faisalqureshi1310392/assignment2-1", "kernel_id": "43455"}, {"ref": "faisalqureshi1310392/cnn-test", "kernel_id": "45736"}, {"ref": "faisalqureshi1310392/assignment2-attempt2", "kernel_id": "45748"}, {"ref": "faisalqureshi1310392/assignment2-attempt1", "kernel_id": "45746"}, {"ref": "faisalqureshi1310392/submission-a2", "kernel_id": "45778"}, {"ref": "faisalqureshi1310392/testttt", "kernel_id": "45757"}, {"ref": "faisalqureshi1310392/noise-reduction-test", "kernel_id": "45766"}, {"ref": "faisalqureshi1310392/assignment2-7", "kernel_id": "45677"}, {"ref": "faisalqureshi1310392/assignment2-a5", "kernel_id": "45891"}, {"ref": "faisalqureshi1310392/testtt2", "kernel_id": "45867"}, {"ref": "faisalqureshi1310392/notebook-aa2d73519155726a13c1", "kernel_id": "45926"}, {"ref": "faisalqureshi1310392/notebook-4a278b7d299ae38016e5", "kernel_id": "45447"}, {"ref": "faisalqureshi1310392/notebook-7585885e0fe96740c53b", "kernel_id": "45448"}, {"ref": "faisalqureshi1310392/notebook-7a91ce7115fcd562534d", "kernel_id": "45470"}, {"ref": "faisalqureshi1310392/notebook-2b5ebb799e8ae564a425", "kernel_id": "45443"}, {"ref": "faisalqureshi1310392/notebook-1142263578b6f7f4cdbe", "kernel_id": "45444"}, {"ref": "faisalqureshi1310392/assignment2-4", "kernel_id": "45445"}, {"ref": "faisalqureshi1310392/notebook-feb5a2c8065bdab4bf63", "kernel_id": "45389"}, {"ref": "faisalqureshi1310392/notebook-7a3f55d2146b9fcf3f45", "kernel_id": "45390"}, {"ref": "faisalqureshi1310392/assignment2-6", "kernel_id": "45519"}, {"ref": "faisalqureshi1310392/assignment2-2", "kernel_id": "45247"}, {"ref": "faisalqureshi1310392/notebook-82589cb81e0280927b28", "kernel_id": "45171"}, {"ref": "faisalqureshi1310392/notebook-9f216fb465061419db16", "kernel_id": "46341"}, {"ref": "faisalqureshi1310392/notebook-fdd9509e5df2044131c1", "kernel_id": "46330"}, {"ref": "faisalqureshi1310392/notebook-addc254c7d5170a4de9c", "kernel_id": "46343"}, {"ref": "faisalqureshi1310392/submission-b1", "kernel_id": "46303"}, {"ref": "faisalqureshi1310392/testtttt", "kernel_id": "46298"}, {"ref": "faisalqureshi1310392/notebook-6347443f0a81d8182dc2", "kernel_id": "46299"}, {"ref": "faisalqureshi1310392/submission-a5", "kernel_id": "46294"}, {"ref": "faisalqureshi1310392/submission-a6", "kernel_id": "46296"}, {"ref": "faisalqureshi1310392/cnn-submission", "kernel_id": "46738"}, {"ref": "faisalqureshi1310392/submission-cnn", "kernel_id": "46773"}, {"ref": "iramusa/notebook046df100ef", "kernel_id": "144832"}, {"ref": "iramusa/notebook260e8b929c", "kernel_id": "112207"}, {"ref": "option12/notebook-a97baa6d7ac63edc991e", "kernel_id": "84994"}, {"ref": "option12/notebook-ffdb73f0652fbc21f2e6", "kernel_id": "82717"}, {"ref": "option12/notebook-1c5a6f4d14fb4fdd80a8", "kernel_id": "82700"}, {"ref": "option12/mnist-digitrecognizer", "kernel_id": "82701"}, {"ref": "option12/notebook-abe5e8e85663661f66fa", "kernel_id": "83956"}, {"ref": "option12/notebook-ced530f78374f51663b5", "kernel_id": "83996"}, {"ref": "option12/notebook-2d426a5bac507852107e", "kernel_id": "83997"}, {"ref": "option12/notebook-d4dcc130785b9a610b46", "kernel_id": "84267"}, {"ref": "jackli/notebook207b1aca85", "kernel_id": "110237"}, {"ref": "jackli/keras-cnn", "kernel_id": "209073"}, {"ref": "jackli/notebookb289ae8241", "kernel_id": "209076"}, {"ref": "bithammer/notebook-80faaf457f72a4cdc518", "kernel_id": "43794"}, {"ref": "bithammer/simple-perceptron-classifier", "kernel_id": "65967"}, {"ref": "openarrow/notebook-72b9fab5b83bf98c08fa", "kernel_id": "67178"}, {"ref": "openarrow/notebook-a3af86fef79ac0b93788", "kernel_id": "61682"}, {"ref": "jasonjun/notebook-aea6447f099bac7447db", "kernel_id": "48160"}, {"ref": "jasonjun/notebook-91f066457214a1aa59f0", "kernel_id": "44225"}, {"ref": "jasonjun/notebook-94862fb9ea8cf4248fed", "kernel_id": "44227"}, {"ref": "jasonjun/practise", "kernel_id": "44218"}, {"ref": "doyeongjeong/ddaaaa", "kernel_id": "44741"}, {"ref": "eliotbarr/knn-explained", "kernel_id": "175951"}, {"ref": "rishav123/digit-recognizer", "kernel_id": "61211"}, {"ref": "nickl0l/notebook-89e47533534d16727da1", "kernel_id": "61382"}, {"ref": "fitrialif/tensorflow-deep-nn", "kernel_id": "168120"}, {"ref": "yokids/notebook-8516e9812f3f05718653", "kernel_id": "82780"}, {"ref": "yokids/average-mnist-digits-python", "kernel_id": "82771"}, {"ref": "yokids/notebook-8acb90b1bc8c6dba2682", "kernel_id": "82776"}, {"ref": "yokids/notebook-0d3016524b8a32cd606d", "kernel_id": "82778"}, {"ref": "evrial/tensorflow-deep-nn", "kernel_id": "43777"}, {"ref": "breakpoint123/notebook-fd5abd617cf816c49b21", "kernel_id": "63428"}, {"ref": "breakpoint123/notebook-38804a6ebdfead677e4b", "kernel_id": "63364"}, {"ref": "breakpoint123/notebook-70abdc937c5c2a24c32b", "kernel_id": "63362"}, {"ref": "breakpoint123/mydemo", "kernel_id": "63356"}, {"ref": "ots988/aaaaa", "kernel_id": "120408"}, {"ref": "williamzhu/notebook-a87eb87dc40d60c77de8", "kernel_id": "44112"}, {"ref": "williamzhu/notebook-10c862f12efbf131b84d", "kernel_id": "44115"}, {"ref": "jayasurya12/random-forest-benchmark", "kernel_id": "43999"}, {"ref": "jayasurya12/notebook-c5c77366beb5fdf94774", "kernel_id": "47322"}, {"ref": "stevepalley/test1", "kernel_id": "106700"}, {"ref": "bharathipriyaa/digit-recognizer-in-python-using-cnn", "kernel_id": "98552"}, {"ref": "gkreplak/digit-recognizer-in-python-using-cnn", "kernel_id": "256389"}, {"ref": "mikeleonardallen/notebooka8bc06cdb2", "kernel_id": "198892"}, {"ref": "mikeleonardallen/notebookd9e1ba59a2", "kernel_id": "200792"}, {"ref": "krsurajiitkgp/digitrecognition", "kernel_id": "45969"}, {"ref": "martijnde/simple-perceptron-classifier", "kernel_id": "66438"}, {"ref": "edwardzhang/notebook-6e0d7b4d3b8cb1b0b480", "kernel_id": "46727"}, {"ref": "helen2n/notebook-52f3ceef033fec16937a", "kernel_id": "45578"}, {"ref": "hyoilcha/notebook-37e3847e8bd17c3e735b", "kernel_id": "53474"}, {"ref": "hyoilcha/hyoil", "kernel_id": "51821"}, {"ref": "azerbe/notebook7224bc7c3e", "kernel_id": "97853"}, {"ref": "drees1/scriptr", "kernel_id": "74380"}, {"ref": "vievie31/notebook-de3c8c8b3d9e71c6889d", "kernel_id": "76242"}, {"ref": "vievie31/mnist-digits-classification", "kernel_id": "76243"}, {"ref": "vievie31/testing-keras-with-mnist", "kernel_id": "270733"}, {"ref": "vievie31/k-means-perceptron-on-mnist", "kernel_id": "217643"}, {"ref": "teoguso/notebook-906db3e5f8d43dfb5bae", "kernel_id": "73103"}, {"ref": "teoguso/digit-recognizer-a-novice-approach-with-svc", "kernel_id": "87586"}, {"ref": "teoguso/notebook734601c76f", "kernel_id": "87655"}, {"ref": "yishuaidu/notebook097cca826f", "kernel_id": "217948"}, {"ref": "yishuaidu/notebook36dda78462", "kernel_id": "220015"}, {"ref": "karus663/tensorflow-deep-nn", "kernel_id": "50704"}, {"ref": "karus663/notebook-0e0782fcfbdd42fa8e18", "kernel_id": "50841"}, {"ref": "alexluliu/notebookb3d5360e33", "kernel_id": "97598"}, {"ref": "turdakov/notebook-fc41e99c43f7d34232f2", "kernel_id": "45051"}, {"ref": "turdakov/notebook-676301413354cd028ac1", "kernel_id": "45053"}, {"ref": "francescolr/notebook-1ebbf47beed9f40c6ac1", "kernel_id": "59006"}, {"ref": "saifbd/notebook-5e9e4ee95ce3fb4f985b", "kernel_id": "72755"}, {"ref": "saifbd/kaggle-digit-recognition-competition", "kernel_id": "72749"}, {"ref": "saifbd/example-handwritten-digits-edited", "kernel_id": "73095"}, {"ref": "cyntgamarra/load-data-set", "kernel_id": "45941"}, {"ref": "kevogich/tensorflow-deep-nn", "kernel_id": "94973"}, {"ref": "cdcollins/k-means-digit-recognizer", "kernel_id": "48948"}, {"ref": "harisheng/start", "kernel_id": "52029"}, {"ref": "harisheng/notebook-d8288c7245b5d5ccf455", "kernel_id": "64450"}, {"ref": "harisheng/notebook-dc6eaf79ae1e27c3da51", "kernel_id": "66458"}, {"ref": "jatinjansari/tensorflow-deep-nn", "kernel_id": "168461"}, {"ref": "jatinjansari/tensorflow-deep-nn-9f770bf3", "kernel_id": "168462"}, {"ref": "veeramaninatarajan/xg-boost-script", "kernel_id": "45338"}, {"ref": "vishrtd/notebook-441217e7bdcc6da1e55e", "kernel_id": "74077"}, {"ref": "vishrtd/notebook-20c36f08afceccfb1032", "kernel_id": "74080"}, {"ref": "vishrtd/trial", "kernel_id": "74082"}, {"ref": "blargl/simple-occlusion-and-saliency-maps", "kernel_id": "224699"}, {"ref": "soyyo5159/prueba", "kernel_id": "53134"}, {"ref": "achraf112/notebook4920fa3882", "kernel_id": "95158"}, {"ref": "achraf112/mnist-with-tensorflow", "kernel_id": "93298"}, {"ref": "deepakgarg22396/testing", "kernel_id": "233695"}, {"ref": "ignaciorossi/ppppp", "kernel_id": "53633"}, {"ref": "ignaciorossi/qqqqq", "kernel_id": "53027"}, {"ref": "ignaciorossi/notebook-5359685656a8ee1fbf24", "kernel_id": "52883"}, {"ref": "ignaciorossi/zzzzz", "kernel_id": "52881"}, {"ref": "ignaciorossi/aaaaa", "kernel_id": "52186"}, {"ref": "ignaciorossi/aaaac", "kernel_id": "52191"}, {"ref": "ignaciorossi/bbbbb", "kernel_id": "52194"}, {"ref": "ignaciorossi/aaaaaaa", "kernel_id": "52355"}, {"ref": "ignaciorossi/notebook-6d0e124c5fd1ee485e6a", "kernel_id": "71200"}, {"ref": "ignaciorossi/notebook-bcb357a3e23c789d0e99", "kernel_id": "71244"}, {"ref": "ignaciorossi/notebook-cf9e742137cd0f9461cc", "kernel_id": "71245"}, {"ref": "ignaciorossi/intent", "kernel_id": "71246"}, {"ref": "ignaciorossi/leangay", "kernel_id": "71305"}, {"ref": "ignaciorossi/prueba", "kernel_id": "70474"}, {"ref": "marionni/notebook-196ad3135e9037b6604b", "kernel_id": "45507"}, {"ref": "csw1307383/tensorflow-deep-nn", "kernel_id": "45904"}, {"ref": "csw1307383/notebook-76cbbe4316b72c76d2c0", "kernel_id": "45905"}, {"ref": "csw1307383/notebook-8e2d3fd5dbdce0c73932", "kernel_id": "45906"}, {"ref": "csw1307383/notebook-34104a16ac243b66e348", "kernel_id": "45907"}, {"ref": "csw1307383/digit-recognizer-in-python-using-cnn", "kernel_id": "45908"}, {"ref": "voices117/notebook-82cd5cfc9261eb65d207", "kernel_id": "47254"}, {"ref": "voices117/random-forest-benchmark", "kernel_id": "47255"}, {"ref": "metallikapo/prueba-knn-4", "kernel_id": "52965"}, {"ref": "colemakdvorak/check", "kernel_id": "45577"}, {"ref": "djykim/notebookbaed64a906", "kernel_id": "235958"}, {"ref": "amitm94305/notebook-ab6a94a3c6dbd877120b", "kernel_id": "45792"}, {"ref": "congwang1985/tensorflow-deep-nn", "kernel_id": "74217"}, {"ref": "tchagrie/notebook0bd3695218", "kernel_id": "115196"}, {"ref": "dcs1317277/digit-recognizer-in-python-using-cnn", "kernel_id": "46403"}, {"ref": "yyyyyyyy/multi-algorithm-1-rfc-2-pcasvc-3-mlp", "kernel_id": "107485"}, {"ref": "yyyyyyyy/tensorflow-deep-nn", "kernel_id": "107567"}, {"ref": "gt1304879/notebook-a0cf67be3dba0461174b", "kernel_id": "46822"}, {"ref": "singularity42/first-play", "kernel_id": "46056"}, {"ref": "singularity42/tensorflow-tut", "kernel_id": "46062"}, {"ref": "kinrany/notebook-caf0b8afd8155a0ecfa6", "kernel_id": "74629"}, {"ref": "ericnana/notebook45ea700b04", "kernel_id": "249949"}, {"ref": "arvindwarka/tensorflow-deep-nn", "kernel_id": "56067"}, {"ref": "wmakarewicz/notebook-5a0b0a44ca8d7ff00ea8", "kernel_id": "46521"}, {"ref": "tapanpandey/tensorflow-deep-nn", "kernel_id": "101847"}, {"ref": "chenguanfu/mnist-cnn", "kernel_id": "328036"}, {"ref": "lyrlyr/notebookeda6302837", "kernel_id": "267266"}, {"ref": "byroncheng/digit-recognizer-in-python-using-cnn", "kernel_id": "142488"}, {"ref": "badoun/notebook-622fd1827cb60ccbaa85", "kernel_id": "74448"}, {"ref": "chirayus/deep-learning-numbers-keras-and-sklearn", "kernel_id": "330747"}, {"ref": "adhamgad/simple-perceptron-classifier", "kernel_id": "47013"}, {"ref": "testadicardi/notebook-7bfed693514028b69774", "kernel_id": "46879"}, {"ref": "testadicardi/loaddata", "kernel_id": "46880"}, {"ref": "anthonysegura/notebook76290db67e", "kernel_id": "202585"}, {"ref": "dritani/tensorflow-deep-nn", "kernel_id": "70507"}, {"ref": "girishpai/simple-perceptron-classifier", "kernel_id": "47019"}, {"ref": "girishpai/notebook41dd0e4690", "kernel_id": "254647"}, {"ref": "narisan25/simple-perceptron-classifier", "kernel_id": "47047"}, {"ref": "kukukakiki/notebook-344cb995c445481a7c7a", "kernel_id": "50933"}, {"ref": "kidjacky/notebook-108a80059bde5df07e0c", "kernel_id": "64284"}, {"ref": "kidjacky/cnn-script", "kernel_id": "64285"}, {"ref": "yanjiang1/welcome-to-deep-learning-cnn-99", "kernel_id": "252934"}, {"ref": "sunnyrao/tensorflow-deep-nn", "kernel_id": "47151"}, {"ref": "dmitrii1985/notebook93a5250a92", "kernel_id": "92655"}, {"ref": "ronnnwu/tensorflow-deep-nn", "kernel_id": "66787"}, {"ref": "ronnnwu/notebook-805201514328862d91f4", "kernel_id": "66774"}, {"ref": "utardm2016/notebook-9372ec43e925ac2ae02f", "kernel_id": "48924"}, {"ref": "amourdemai/notebook-3af88d6890d5a61a3802", "kernel_id": "72614"}, {"ref": "leandroborges/notebook-0705cb03c5a3fc4ccaae", "kernel_id": "69889"}, {"ref": "leandroborges/notebook-5b6a6b5e00da1b0b4bf4", "kernel_id": "69970"}, {"ref": "leandroborges/cnn-lstm", "kernel_id": "69971"}, {"ref": "xerofuzzion/lab1-mnist", "kernel_id": "47435"}, {"ref": "xerofuzzion/notebook-bb6a35ba2322416c6a09", "kernel_id": "48297"}, {"ref": "xerofuzzion/notebook-ad023b766743480b39c3", "kernel_id": "48156"}, {"ref": "klandry/digit1", "kernel_id": "137238"}, {"ref": "lolasgardner/digitrecognizer", "kernel_id": "93921"}, {"ref": "cbkumar/digit-recognizer-in-python-using-cnn", "kernel_id": "58924"}, {"ref": "tjjtds/notebook-9534d61bb5f96f484e9c", "kernel_id": "50685"}, {"ref": "tjjtds/notebook-21534bee4402fe35bd05", "kernel_id": "51854"}, {"ref": "abhishek333/firstscript", "kernel_id": "49023"}, {"ref": "abhishek333/tensorflow-deep-nn", "kernel_id": "49019"}, {"ref": "abhishek333/notebook-c298505bd212313a43e1", "kernel_id": "49057"}, {"ref": "alexhuang1012/test-sample-script", "kernel_id": "49224"}, {"ref": "davinnovation/vggnet-with-kfold-lb-0-99xx", "kernel_id": "212351"}, {"ref": "wandabwa2004/digit-recognizer-in-python-using-cnn", "kernel_id": "119197"}, {"ref": "yasirmir/digit-recognizer-in-python-using-cnn", "kernel_id": "58357"}, {"ref": "yasirmir/notebook-ee9ab5bc1c6e5bfa4f9c", "kernel_id": "58081"}, {"ref": "hlinden/notebook668074b66e", "kernel_id": "117887"}, {"ref": "harishbalasub/digit-test", "kernel_id": "47919"}, {"ref": "fieldtheory/tensorflow-deep-nn", "kernel_id": "58367"}, {"ref": "ybdesire/notebook0a8f38dfb0", "kernel_id": "201086"}, {"ref": "ybdesire/test-vhall", "kernel_id": "201111"}, {"ref": "ybdesire/notebook7c75c1b02d", "kernel_id": "199492"}, {"ref": "ybdesire/test-my", "kernel_id": "194101"}, {"ref": "ybdesire/bin-yin-test1", "kernel_id": "152435"}, {"ref": "ybdesire/notebookcfc6446407", "kernel_id": "175588"}, {"ref": "soumyajitdas/tensorflow-deep-nn", "kernel_id": "69725"}, {"ref": "soumyajitdas/tenforflow-code-cnn", "kernel_id": "69726"}, {"ref": "haraldnordgren/digit-recognizer", "kernel_id": "48045"}, {"ref": "hoooooou/notebook-af3bfaf0acba4776a4ec", "kernel_id": "50010"}, {"ref": "siwenyan/notebook-aa8d0287d025cc5e8a8f", "kernel_id": "52050"}, {"ref": "siwenyan/notebook-8902024a665e312a5150", "kernel_id": "52051"}, {"ref": "siwenyan/notebook-b2f8a3f6eb4779780475", "kernel_id": "52054"}, {"ref": "siwenyan/notebook-778ab40bea69b166ebef", "kernel_id": "52055"}, {"ref": "siwenyan/digitalrec", "kernel_id": "52056"}, {"ref": "siwenyan/notebook-e279a184ec84bbbbfe04", "kernel_id": "52057"}, {"ref": "siwenyan/digitalrec2", "kernel_id": "52058"}, {"ref": "songlei198974/notebookfb16ded09b", "kernel_id": "208693"}, {"ref": "songlei198974/test-csv-test", "kernel_id": "208700"}, {"ref": "matthew2003/notebook865f57cbcb", "kernel_id": "197878"}, {"ref": "saptarc/simple-cnn-for-digit-recognition", "kernel_id": "178946"}, {"ref": "saptarc/playing-with-svm", "kernel_id": "216487"}, {"ref": "brendanrius/simple-perceptron-classifier", "kernel_id": "48301"}, {"ref": "sirrigus/helloworld", "kernel_id": "48331"}, {"ref": "benwhite/simple-linear-svm-classifier", "kernel_id": "60801"}, {"ref": "candicezeng/tensorflow-deep-nn", "kernel_id": "170560"}, {"ref": "dpereira14/notebook1f2084605b", "kernel_id": "149334"}, {"ref": "thrustin/mnist-conv", "kernel_id": "223992"}, {"ref": "dxhighspirits/notebook-80c7a4ccd3b0485f4bfd", "kernel_id": "49809"}, {"ref": "shenba/shenbaga-1st-kernel-mnist-25sep2017", "kernel_id": "372368"}, {"ref": "shenba/shenbaga-mnist-cnn-20feb2018", "kernel_id": "671979"}, {"ref": "iralva/kaggle-test", "kernel_id": "139875"}, {"ref": "alanlegoallec/testt2", "kernel_id": "50569"}, {"ref": "alanlegoallec/testt", "kernel_id": "50343"}, {"ref": "rajeshnarasaiah/notebook-26557db23519f69075cb", "kernel_id": "51447"}, {"ref": "rajeshnarasaiah/notebook-50bb9ae71c757b9a634c", "kernel_id": "51452"}, {"ref": "rajeshnarasaiah/notebook-b30695508d8ad82b2a69", "kernel_id": "51457"}, {"ref": "rajeshnarasaiah/notebook-52c0d5f2ef6f2c50422d", "kernel_id": "51483"}, {"ref": "rajeshnarasaiah/notebook-7d7563894e2ff996e00d", "kernel_id": "51289"}, {"ref": "rajeshnarasaiah/notebook-d6925ba2653fc0e4b78a", "kernel_id": "51292"}, {"ref": "rajeshnarasaiah/notebook-a105c63eb71e3427bdfc", "kernel_id": "51293"}, {"ref": "rajeshnarasaiah/notebook-7aa0a8f219a0bfc557a8", "kernel_id": "51265"}, {"ref": "rajeshnarasaiah/notebook-3276a0af7aa27984aa41", "kernel_id": "52120"}, {"ref": "rajeshnarasaiah/notebook-d6ac7c45abc3ba56eaf6", "kernel_id": "52320"}, {"ref": "amberchen33/notebookef15e9acb5", "kernel_id": "194190"}, {"ref": "amberchen33/notebook11fad383aa", "kernel_id": "194192"}, {"ref": "mahvishponum/digit-recognition", "kernel_id": "49480"}, {"ref": "walidsalah/notebook8f50199db5", "kernel_id": "172410"}, {"ref": "thinkle/hello-digit-py", "kernel_id": "100389"}, {"ref": "thinkle/hello-digit", "kernel_id": "100390"}, {"ref": "badeuyer/digit", "kernel_id": "48808"}, {"ref": "kaelchan/notebookbf12a4a4aa", "kernel_id": "105421"}, {"ref": "kaelchan/tensorflow-deep-nn", "kernel_id": "101354"}, {"ref": "singha/kaggle-digit-mention", "kernel_id": "48850"}, {"ref": "mookie321/notebook-111bf52e836ad70180c2", "kernel_id": "70930"}, {"ref": "zematynnad/notebook-32d111208ee8fe7f98fa", "kernel_id": "67364"}, {"ref": "zematynnad/tamez-digits-rfc", "kernel_id": "65053"}, {"ref": "k2khanna/notebook-e21dcfabbb883022df40", "kernel_id": "56639"}, {"ref": "k2khanna/digitrecognition", "kernel_id": "56640"}, {"ref": "vincento/cnn-on-mnist-with-tensorflow-99-1", "kernel_id": "111613"}, {"ref": "meichengguang/test-1", "kernel_id": "68686"}, {"ref": "meichengguang/tensorflow-deep-nn", "kernel_id": "68688"}, {"ref": "mjjenkins11/digitanalyzer", "kernel_id": "51038"}, {"ref": "mathenri/digit-recognizer-2", "kernel_id": "58796"}, {"ref": "mathenri/digit-recognizer", "kernel_id": "58789"}, {"ref": "mathenri/logistic-regression", "kernel_id": "96970"}, {"ref": "dharness/notebook-9a70227486fe77a2242b", "kernel_id": "52893"}, {"ref": "dharness/notebook-994e075bf6a582f87b33", "kernel_id": "52895"}, {"ref": "dharness/notebook-9cc52cb88eb89682fadc", "kernel_id": "52896"}, {"ref": "dharness/tensorflow-deep-nn", "kernel_id": "52471"}, {"ref": "pocpay/firsto", "kernel_id": "112608"}, {"ref": "joehiggins/initial", "kernel_id": "58843"}, {"ref": "loganjyz/notebook330dd605f7", "kernel_id": "238608"}, {"ref": "withchris/notebookee73eaf5be", "kernel_id": "217457"}, {"ref": "erikleffler/mnist", "kernel_id": "142052"}, {"ref": "guruchai/learn1", "kernel_id": "49494"}, {"ref": "igauty/keras-mnist-v0-1", "kernel_id": "158385"}, {"ref": "matiasmolinas/simple-perceptron-classifier", "kernel_id": "49914"}, {"ref": "edtruji/tensorflow-deep-nn", "kernel_id": "49694"}, {"ref": "edtruji/notebook-1331dc9bfb114345d3e7", "kernel_id": "51507"}, {"ref": "jgzuke/notebook-bdaedf038ffdde2f9bf4", "kernel_id": "52887"}, {"ref": "jgzuke/notebook-a6f024a8d38ed4b231ce", "kernel_id": "52880"}, {"ref": "jgzuke/notebook-7a97355ad6949affe123", "kernel_id": "52876"}, {"ref": "joybowu/test-kaggle", "kernel_id": "49689"}, {"ref": "gracecheng/papayachips", "kernel_id": "73691"}, {"ref": "rghiglia/simple-perceptron-classifier", "kernel_id": "49788"}, {"ref": "notoriousjpd/notebook0839e73849", "kernel_id": "86051"}, {"ref": "yurket/notebookb7fab8d459", "kernel_id": "222690"}, {"ref": "xiaoshcihang/second", "kernel_id": "93040"}, {"ref": "xiaoshcihang/first", "kernel_id": "92999"}, {"ref": "vasilisck/notebooke02d55db72", "kernel_id": "86276"}, {"ref": "vasilisck/knn-from-scratch-in-python-at-97-1", "kernel_id": "86285"}, {"ref": "aeapen25/simple-perceptron-classifier", "kernel_id": "49948"}, {"ref": "aeapen25/notebook-88e8bf7292855986ae2f", "kernel_id": "49963"}, {"ref": "jeandarolt/notebook-fef0a44479d01b81dd7d", "kernel_id": "50305"}, {"ref": "jeandarolt/my-first-notebook", "kernel_id": "50579"}, {"ref": "jeandarolt/notebook-2795cc36823ee86a042b", "kernel_id": "50577"}, {"ref": "jeandarolt/notebook-4bd64aa624908ce99df6", "kernel_id": "50893"}, {"ref": "timing/notebook-fd4796916931fb2f962e", "kernel_id": "50143"}, {"ref": "eric6239/notebook-9748f455898a317811df", "kernel_id": "50216"}, {"ref": "eric6239/notebook-70a959145fb977ea4f35", "kernel_id": "50217"}, {"ref": "eric6239/notebook-37c78dba75b3ba38ee7c", "kernel_id": "50219"}, {"ref": "eric6239/notebook-09d5015282e4944be71f", "kernel_id": "50221"}, {"ref": "dmkaggle/tensorflow-deep-nn", "kernel_id": "50246"}, {"ref": "dmkaggle/test5", "kernel_id": "50248"}, {"ref": "vincentmo/digitrec", "kernel_id": "229096"}, {"ref": "nicklavers/shmoop", "kernel_id": "54118"}, {"ref": "lcamposgarrido/tensorflow-deep-nn", "kernel_id": "111161"}, {"ref": "lcamposgarrido/tensorflow-deep-nn-86b1d483", "kernel_id": "111165"}, {"ref": "songwhu/notebook519af9e75e", "kernel_id": "204823"}, {"ref": "songwhu/notebook5bf976b3a9", "kernel_id": "204375"}, {"ref": "songwhu/interactive-intro-to-dimensionality-reduction", "kernel_id": "197006"}, {"ref": "songwhu/notebookd34ff79692", "kernel_id": "197018"}, {"ref": "songwhu/notebookbfbdf88ffb", "kernel_id": "197020"}, {"ref": "songwhu/notebook4d7e9302e8", "kernel_id": "199165"}, {"ref": "songwhu/notebookfa0a5bff5e", "kernel_id": "198015"}, {"ref": "songwhu/notebook24648f061c", "kernel_id": "197904"}, {"ref": "songwhu/notebookdeb9578e15", "kernel_id": "201128"}, {"ref": "songwhu/using-random-forest", "kernel_id": "208952"}, {"ref": "ianpinnock/notebook3d7c64138a", "kernel_id": "163429"}, {"ref": "retopt/tensorflow-deep-nn", "kernel_id": "166330"}, {"ref": "epsonik/test-1", "kernel_id": "50427"}, {"ref": "redratz/digit-recognizer-test", "kernel_id": "50430"}, {"ref": "eliasgs/notebook-c041bc38a44316412ed2", "kernel_id": "58467"}, {"ref": "eliasgs/notebook-95226b2f4d67a100aa94", "kernel_id": "58470"}, {"ref": "hoj201/simple-perceptron-classifier", "kernel_id": "50465"}, {"ref": "linhvannguyen/tensorflow-deep-nn", "kernel_id": "64403"}, {"ref": "leonidpavlov/helloworld", "kernel_id": "102198"}, {"ref": "jc0411/digit-recognizer-in-python-using-cnn", "kernel_id": "52534"}, {"ref": "yanwii/notebook-0e281ec18a61205d1f27", "kernel_id": "50953"}, {"ref": "yanwii/cnn-with-keras", "kernel_id": "130140"}, {"ref": "yanwii/simple-cnn-with-keras", "kernel_id": "130176"}, {"ref": "yanwii/deep-convolutional-network-using-keras", "kernel_id": "130072"}, {"ref": "yanwii/notebook46be5ea251", "kernel_id": "130137"}, {"ref": "crackhopper/notebook-d3699e5e156e46323602", "kernel_id": "51910"}, {"ref": "whtopwindy/pca-log", "kernel_id": "55072"}, {"ref": "whtopwindy/notebook-346dd4f2914e1b9de1b5", "kernel_id": "55073"}, {"ref": "whtopwindy/notebook-95b009b493931ddbc759", "kernel_id": "56073"}, {"ref": "whtopwindy/tensorflow-deep-nn", "kernel_id": "56082"}, {"ref": "whtopwindy/notebook-fd2267f133755076fb92", "kernel_id": "56080"}, {"ref": "whtopwindy/notebook-0b97ddb6241420851146", "kernel_id": "56087"}, {"ref": "whtopwindy/notebook-018a6c06bc77af4d8333", "kernel_id": "56099"}, {"ref": "whtopwindy/notebook-4536de12072cab227b4b", "kernel_id": "56093"}, {"ref": "sevenmoon/notebook-f36223420f748b89d9ac", "kernel_id": "51183"}, {"ref": "sevenmoon/starter", "kernel_id": "51184"}, {"ref": "rodgexu/logistic-regression", "kernel_id": "73115"}, {"ref": "shihaozhang/random-forest-benchmark", "kernel_id": "95012"}, {"ref": "shihaozhang/tensorflow-deep-nn", "kernel_id": "95046"}, {"ref": "lonelyrobot/training-a-convnet-on-mnist-data", "kernel_id": "155411"}, {"ref": "lonelyrobot/linear-svm-model-for-mnist", "kernel_id": "156189"}, {"ref": "lonelyrobot/mnist-fully-connected-nn", "kernel_id": "162356"}, {"ref": "radbrawler/digit-recognizer-in-python-using-cnn", "kernel_id": "173311"}, {"ref": "wucebrayne/digit-recognition-using-rfc-totally-copied", "kernel_id": "168006"}, {"ref": "beckerz/my-fork-for-digital-recognizer", "kernel_id": "51061"}, {"ref": "beckerz/notebook-72177b4b804a75099d35", "kernel_id": "51064"}, {"ref": "meenamna/this-is-test02", "kernel_id": "54564"}, {"ref": "meenamna/notebook-c2179760495696c96f80", "kernel_id": "51879"}, {"ref": "meenamna/testttttt", "kernel_id": "51880"}, {"ref": "dinizime/tensorflow-deep-nn", "kernel_id": "51195"}, {"ref": "dinizime/digit-recognizer-in-python-using-cnn", "kernel_id": "51196"}, {"ref": "leandrf/leandro", "kernel_id": "52877"}, {"ref": "leandrf/notebook-3640e9a6e5623261ac64", "kernel_id": "70696"}, {"ref": "menonsandu/digit-recogniser", "kernel_id": "253361"}, {"ref": "notmytype/tensorflow-deep-nn", "kernel_id": "110580"}, {"ref": "raghavnagpal/01mar", "kernel_id": "213436"}, {"ref": "raghavnagpal/notebookdc2c5026e4", "kernel_id": "213434"}, {"ref": "cebs13/interactive-intro-to-dimensionality-reduction", "kernel_id": "170295"}, {"ref": "varunsinaster007/notebook-68079517f4ff02346dbb", "kernel_id": "51553"}, {"ref": "humananalog/basic-conv-net-with-tensorflow", "kernel_id": "105362"}, {"ref": "farpoint/simple-perceptron-classifier", "kernel_id": "51695"}, {"ref": "farpoint/notebook-de8819171b347bdea2b2", "kernel_id": "61205"}, {"ref": "karthikgotham/random-forest-benchmark", "kernel_id": "87889"}, {"ref": "anjumkaimal/sample", "kernel_id": "99289"}, {"ref": "idanbeker/notebook-9afc2ca782b5484826fe", "kernel_id": "73567"}, {"ref": "idanbeker/digitrecgonize", "kernel_id": "72173"}, {"ref": "idanbeker/notebook-c4ecbfc2a4777e1d508b", "kernel_id": "72174"}, {"ref": "idanbeker/notebook-0e5bcd34f01b1626f9ba", "kernel_id": "72175"}, {"ref": "idanbeker/notebook-4ff016406eefbf0419e6", "kernel_id": "72170"}, {"ref": "idanbeker/notebook-e4dc6997daf6801ba2b5", "kernel_id": "72171"}, {"ref": "stuffandthings/notebook20e58bcc29", "kernel_id": "256430"}, {"ref": "matsutomo/notebook-56767fdb5221cb7ad181", "kernel_id": "52030"}, {"ref": "matsutomo/test-text", "kernel_id": "52032"}, {"ref": "jonobiyo/trial", "kernel_id": "52107"}, {"ref": "neverever01/notebook-c571dce66c86222b1b63", "kernel_id": "52732"}, {"ref": "neverever01/notebook-0f5d3931789c1c2a2e95", "kernel_id": "52733"}, {"ref": "neverever01/notebook-362a58079b08a7986c4d", "kernel_id": "52729"}, {"ref": "neverever01/notebook-0ab00b21cf28b364f3d0", "kernel_id": "52730"}, {"ref": "neverever01/sample", "kernel_id": "52726"}, {"ref": "greenreddy0/rec-digits", "kernel_id": "130300"}, {"ref": "tcriscuolo/notebook-2fec0ca86407da3daa0a", "kernel_id": "52855"}, {"ref": "mbrecheteau/notebook398d61a027", "kernel_id": "174174"}, {"ref": "sauravgupta110/cnn-attempt", "kernel_id": "167580"}, {"ref": "sauravgupta110/kaggle1stscript", "kernel_id": "167290"}, {"ref": "vioquedu/notebook84fb7a8a31", "kernel_id": "192534"}, {"ref": "mboaretto/mlhw1", "kernel_id": "85378"}, {"ref": "limaeusarcturus/testing-handwriting-recognition", "kernel_id": "64197"}, {"ref": "logeekal/digitrecognizer", "kernel_id": "92183"}, {"ref": "lzhang57/script-py", "kernel_id": "52452"}, {"ref": "satoshitakahashi/notebooka238e207f4", "kernel_id": "234329"}, {"ref": "mcbuckner/knn-assignment", "kernel_id": "53084"}, {"ref": "seu1tyz/tyz-tensorflow-deep-nn", "kernel_id": "103110"}, {"ref": "aferritto/digits", "kernel_id": "52602"}, {"ref": "carterns/carterscriptforkfromikeda", "kernel_id": "53123"}, {"ref": "carterns/notebook-19cf3d581a3c9e3221e3", "kernel_id": "53126"}, {"ref": "carterns/scriptedforkofrf", "kernel_id": "53127"}, {"ref": "carterns/notebook-2341d8c872f0c5ca1424", "kernel_id": "53178"}, {"ref": "carterns/notebook-f04a9c41af2b588894fe", "kernel_id": "57129"}, {"ref": "carterns/math2090carter", "kernel_id": "57130"}, {"ref": "carterns/notebook-125285250f7867bcaa65", "kernel_id": "57136"}, {"ref": "carterns/notebook-8657cba59d08b87a8269", "kernel_id": "57309"}, {"ref": "carterns/notebook-44ac88ff975d42cfd1c4", "kernel_id": "57143"}, {"ref": "carterns/notebook-5056f5d6231ec1de8587", "kernel_id": "57144"}, {"ref": "carterns/math2090carter12", "kernel_id": "57546"}, {"ref": "carterns/notebook-c9628718b6d10fd1fc7d", "kernel_id": "57564"}, {"ref": "carterns/math2090carter6", "kernel_id": "57434"}, {"ref": "carterns/notebook-6394a451d2ac614366ec", "kernel_id": "59039"}, {"ref": "jieeyang/notebook-069172f100d4c0c83849", "kernel_id": "52640"}, {"ref": "jerryw/test-2016-0423", "kernel_id": "56699"}, {"ref": "jerryw/testbyjerry", "kernel_id": "53060"}, {"ref": "jerryw/tensorflow-deep-nn", "kernel_id": "53139"}, {"ref": "ttxs2016/notebook-edd9972c37e6de4868a9", "kernel_id": "52718"}, {"ref": "willarth/tensorflow-deep-nn", "kernel_id": "72893"}, {"ref": "yingcheng/tensorflow-deep-nn", "kernel_id": "157835"}, {"ref": "boxlau/first-r", "kernel_id": "60521"}, {"ref": "vikramyadav/trying-digits", "kernel_id": "106434"}, {"ref": "danieldong/installed-r-packages", "kernel_id": "55437"}, {"ref": "lontano/pixel-mean-and-variances-by-digit", "kernel_id": "53231"}, {"ref": "lontano/my-test", "kernel_id": "53201"}, {"ref": "clarkzhao/show-py", "kernel_id": "105665"}, {"ref": "clarkzhao/notebookd8dbf6d55e", "kernel_id": "105670"}, {"ref": "jiehong/notebook-5c92394cf228024a1df0", "kernel_id": "56135"}, {"ref": "jiehong/trial", "kernel_id": "56136"}, {"ref": "jiehong/knn-trial", "kernel_id": "56133"}, {"ref": "littlemind/tensorflow-deep-nn", "kernel_id": "53063"}, {"ref": "ducnh1022/notebook-3b573166068019d157fd", "kernel_id": "68627"}, {"ref": "cjyacmilan/dadadadada", "kernel_id": "56807"}, {"ref": "cjyacmilan/notebook-1c02912fbb14be6eecb1", "kernel_id": "57442"}, {"ref": "rwrdrk/digit-recognizer-in-python-using-cnn", "kernel_id": "66760"}, {"ref": "cdavis/exploration-of-handwritten-numbers", "kernel_id": "90821"}, {"ref": "peetszahut/digit-recognizer-in-python-using-cnn", "kernel_id": "56344"}, {"ref": "gonghangjun/tryversion", "kernel_id": "58246"}, {"ref": "abuihsan77/digits-recognizer-learning-ml", "kernel_id": "956232"}, {"ref": "gweijie/testing-this-script", "kernel_id": "64407"}, {"ref": "gweijie/first", "kernel_id": "119690"}, {"ref": "eltblg/notebook-aac575c5c23e01a07605", "kernel_id": "53692"}, {"ref": "kennyatyler/digit-recognizer-in-python-using-cnn", "kernel_id": "53722"}, {"ref": "jenhim/notebook8c8910642b", "kernel_id": "155660"}, {"ref": "mclerkin/numberid", "kernel_id": "85360"}, {"ref": "canarychirp/testscripts", "kernel_id": "53889"}, {"ref": "peregrin/blabla", "kernel_id": "53891"}, {"ref": "jmcelveen/digit-recognizer-in-python-using-cnn", "kernel_id": "58591"}, {"ref": "jmcelveen/notebook-f79102656aaa06ec6953", "kernel_id": "58592"}, {"ref": "jwaitzel/notebook-8033a7de6d45c8371c8f", "kernel_id": "54687"}, {"ref": "jwaitzel/notebook-4c8a7f2fd4173a3a8b99", "kernel_id": "54683"}, {"ref": "gunhochoi/digit-recognizer-train", "kernel_id": "143666"}, {"ref": "yihaoxia/notebook-c355d75b829b0ddee5ee", "kernel_id": "60901"}, {"ref": "yihaoxia/notebook-35f2f76705457d665472", "kernel_id": "60902"}, {"ref": "om1042/deep-convolutional-network-using-keras", "kernel_id": "84991"}, {"ref": "xdu2peter/tensorflow-deep-nn", "kernel_id": "94846"}, {"ref": "yadavsarthak/residual-networks-on-mnist", "kernel_id": "148384"}, {"ref": "yadavsarthak/residual-networks-and-mnist", "kernel_id": "148466"}, {"ref": "shahil93/third", "kernel_id": "90980"}, {"ref": "shahil93/second", "kernel_id": "90978"}, {"ref": "shahil93/fourth", "kernel_id": "91037"}, {"ref": "quartzing0/minst-random-forest", "kernel_id": "55250"}, {"ref": "quartzing0/notebook-1dbb579e7348896c192b", "kernel_id": "55251"}, {"ref": "quartzing0/minst-random-forest-python", "kernel_id": "55252"}, {"ref": "veeraperumal/image-augmentation-with-keras-and-output-into-csv", "kernel_id": "115010"}, {"ref": "shashankpulijala/notebooke36636dcde", "kernel_id": "139853"}, {"ref": "vikasp/mnist", "kernel_id": "144587"}, {"ref": "vikasp/usingtest", "kernel_id": "56863"}, {"ref": "sambit7/starting-with-mnist-data", "kernel_id": "145094"}, {"ref": "sambit7/notebook33f8bfce83", "kernel_id": "160994"}, {"ref": "sambit7/keras-mnist-cnn", "kernel_id": "161003"}, {"ref": "nguyen1318/digit-recognizer", "kernel_id": "123863"}, {"ref": "chrismeek/tensorflow-deep-nn", "kernel_id": "54124"}, {"ref": "robertsatya/notebook-87f9444aba48959dbcfd", "kernel_id": "59911"}, {"ref": "robertsatya/notebook-ab2d6d7da96bc3e9d185", "kernel_id": "59909"}, {"ref": "robertsatya/notebook-486ca1a9edcc13ada982", "kernel_id": "59903"}, {"ref": "dengbintao/first-kernel-in-mnist", "kernel_id": "123600"}, {"ref": "xierimin/edgedetection", "kernel_id": "99825"}, {"ref": "hugoperrier/deep-neural-network-keras-way", "kernel_id": "238017"}, {"ref": "primenumber/digit-classification", "kernel_id": "95760"}, {"ref": "rphull/notebook-86e27de75d80c56d6930", "kernel_id": "77271"}, {"ref": "acehanks/first-try", "kernel_id": "188857"}, {"ref": "acehanks/keras-cnn-with-explanation", "kernel_id": "188954"}, {"ref": "irinasha/notebook4152ca80a7", "kernel_id": "236609"}, {"ref": "limhanxian/notebook1f8d83c302", "kernel_id": "135200"}, {"ref": "nchallagandla/tensorflow-deep-nn", "kernel_id": "99281"}, {"ref": "karthik11/notebook37d6d36cf5", "kernel_id": "265853"}, {"ref": "nicobeck/notebook-4b9cd38f6a9d8982c50f", "kernel_id": "54815"}, {"ref": "nicobeck/notebook-f4e4572fe558b8324523", "kernel_id": "54816"}, {"ref": "nicobeck/notebook-894fff13b57a931b870b", "kernel_id": "61759"}, {"ref": "wpncrh/tensorflow-deep-nn", "kernel_id": "107982"}, {"ref": "adbies/simple-perceptron-classifier", "kernel_id": "75187"}, {"ref": "hepengpeng/digit-recognizer-in-python-using-cnn", "kernel_id": "130189"}, {"ref": "kawinkitt/knn-method", "kernel_id": "55021"}, {"ref": "bigpoo/notebook-a9393dd06eafa007c090", "kernel_id": "55056"}, {"ref": "bigpoo/notebook-3095a45e15c43127b860", "kernel_id": "55052"}, {"ref": "datascientist12/digittest", "kernel_id": "55038"}, {"ref": "datascientist12/digit-recognizer", "kernel_id": "55042"}, {"ref": "wolfius/first-tutorial-test", "kernel_id": "55144"}, {"ref": "pedrohaamorim/knn-from-scratch-in-python-at-97-1", "kernel_id": "86243"}, {"ref": "dingboy/test1", "kernel_id": "159857"}, {"ref": "dingboy/notebook2218fbd30d", "kernel_id": "159859"}, {"ref": "nagsdata/test-2-pca-svm", "kernel_id": "70981"}, {"ref": "dnlcrl/notebook-822565a44e196385842f", "kernel_id": "55902"}, {"ref": "dnlcrl/notebook-33db5208f2a8d958742d", "kernel_id": "55922"}, {"ref": "chaoshxxu/notebook-8ba7142a17528478f7b9", "kernel_id": "73637"}, {"ref": "chaoshxxu/trcnkq", "kernel_id": "55475"}, {"ref": "code1110/mnist-modeling-submission", "kernel_id": "361799"}, {"ref": "tokenyang/tensorflow-deep-nn", "kernel_id": "64942"}, {"ref": "tokenyang/notebook-3f878856ee732fe5fd14", "kernel_id": "64944"}, {"ref": "tokenyang/notebook-71ee4b8ed0bb800fb6a3", "kernel_id": "64958"}, {"ref": "tokenyang/notebook-fbb3b3197e5d392668cb", "kernel_id": "64959"}, {"ref": "swifter/notebook-f91000a9bded2ec677e3", "kernel_id": "55486"}, {"ref": "swifter/notebook-c8bd8f502f4083b141da", "kernel_id": "55483"}, {"ref": "koaras/notebookfe172c66f7", "kernel_id": "212054"}, {"ref": "koaras/just-for-test", "kernel_id": "212052"}, {"ref": "allisee/tensorflow-deep-nn", "kernel_id": "77592"}, {"ref": "allisee/notebook-2b913195325e553e452f", "kernel_id": "77593"}, {"ref": "spkrguy/notebook-8301c34bbdac0b106e3f", "kernel_id": "55435"}, {"ref": "suyue715/digitrecognizer-keras", "kernel_id": "504899"}, {"ref": "shadid12/notebook-dbbe342c6d01819e3c9c", "kernel_id": "55633"}, {"ref": "drasko/tensorflow-deep-nn", "kernel_id": "57443"}, {"ref": "drasko/1st-python-try-1", "kernel_id": "57427"}, {"ref": "cjd1989/notebook-d3f39351f624f2ab39e8", "kernel_id": "56592"}, {"ref": "cjd1989/digit-recognizing-knn", "kernel_id": "56594"}, {"ref": "cjd1989/notebook-65c4bb36053a3255fcaf", "kernel_id": "57852"}, {"ref": "cjd1989/notebook-ee1d546283390f0d92a9", "kernel_id": "58600"}, {"ref": "cjd1989/notebook-3c279bb1f4ce551259a3", "kernel_id": "59148"}, {"ref": "ronrest/notebook-7520dbcbe3ece37c3667", "kernel_id": "66473"}, {"ref": "majickdave/notebookd6c12a89cd", "kernel_id": "102427"}, {"ref": "miningjerry/tensorflow", "kernel_id": "200143"}, {"ref": "miningjerry/a-bad-case", "kernel_id": "200193"}, {"ref": "miningjerry/tensorflow2-mnist", "kernel_id": "200196"}, {"ref": "miningjerry/learn-from-tensorflow-deep-nn", "kernel_id": "189548"}, {"ref": "dmvigi/digitscript", "kernel_id": "56505"}, {"ref": "ravinimmi/notebook-0fa89dca29b907deddd6", "kernel_id": "66574"}, {"ref": "wangjy1112/notebook-9068377d019a1f0436dc", "kernel_id": "76901"}, {"ref": "felixlast/mnist-tutorial", "kernel_id": "97815"}, {"ref": "luisblanche/keras-deep-nn", "kernel_id": "344589"}, {"ref": "sqzhang/notebookab93d3b72b", "kernel_id": "118649"}, {"ref": "tomlahav/digit-recognizer-in-python-using-cnn", "kernel_id": "102548"}, {"ref": "nsynsy001/notebook-05ff1675517313a22846", "kernel_id": "60272"}, {"ref": "nsynsy001/notebook-c37c020d32b4d8430ef1", "kernel_id": "60260"}, {"ref": "nsynsy001/digitrecognizer-knn", "kernel_id": "60261"}, {"ref": "nsynsy001/notebook-f17f69516a657575864a", "kernel_id": "60268"}, {"ref": "alexwangbin/mytest", "kernel_id": "65342"}, {"ref": "alexwangbin/example-handwritten-digits", "kernel_id": "65336"}, {"ref": "ixiaoxi/notebook-71970c09b7645397822e", "kernel_id": "63586"}, {"ref": "ixiaoxi/tensorflow-deep-nn", "kernel_id": "62011"}, {"ref": "hemeng/notebook-71c0b1386b83be70eb7b", "kernel_id": "59394"}, {"ref": "hemeng/notebook-1bd2e53644ab2d658a0a", "kernel_id": "74785"}, {"ref": "gtouzin/knn-with-k-5", "kernel_id": "64853"}, {"ref": "abrady/notebook-d31686060e9047c41c7d", "kernel_id": "71189"}, {"ref": "weeliangng/handwriting-on-h2o", "kernel_id": "74830"}, {"ref": "weeliangng/neuralnet-on-r", "kernel_id": "74525"}, {"ref": "hlchen/notebook-e14debe2cf4520fb5f23", "kernel_id": "56866"}, {"ref": "tonyfy/notebook-3df158c493529013ef89", "kernel_id": "66726"}, {"ref": "zhor09/testi0001", "kernel_id": "56869"}, {"ref": "vnktsh/tensorflow-deep-nn", "kernel_id": "139234"}, {"ref": "skywice/tensorflow-deep-nn", "kernel_id": "101198"}, {"ref": "julesledru/notebook-1c446724d69b5fed248e", "kernel_id": "57247"}, {"ref": "joelovedatascience/notebook0ce6ed075c", "kernel_id": "246828"}, {"ref": "maksiub/interactive-intro-to-dimensionality-reduction", "kernel_id": "183659"}, {"ref": "sonusingh1988/sonu-script-1", "kernel_id": "98303"}, {"ref": "aryan16/notebook-4e0c051578d4af155c86", "kernel_id": "58929"}, {"ref": "aryan16/ag-16", "kernel_id": "58935"}, {"ref": "aiglesias/tensorflow-deep-nn", "kernel_id": "121357"}, {"ref": "jennymc/digit-recognizer", "kernel_id": "57403"}, {"ref": "adisagar/a-tensorflow-approach", "kernel_id": "255496"}, {"ref": "philipsun/svm-and-pca-in-sklearn", "kernel_id": "90921"}, {"ref": "ftence/keras-cnn-inspired-by-lenet-5", "kernel_id": "90350"}, {"ref": "ftence/keras-mlp-784-512-512-10", "kernel_id": "90341"}, {"ref": "assafler/manifold-learning-and-autoencoders", "kernel_id": "196098"}, {"ref": "coldfashioned/using-keras-tensorflow", "kernel_id": "159424"}, {"ref": "coldfashioned/notebook9eef0ab580", "kernel_id": "159484"}, {"ref": "shoufanzaid/version1", "kernel_id": "58488"}, {"ref": "shoufanzaid/version2", "kernel_id": "58489"}, {"ref": "azoryk/digits", "kernel_id": "117735"}, {"ref": "cjwker/interactive-intro-to-dimensionality-reduction", "kernel_id": "192576"}, {"ref": "cjwker/digit-recognizer-in-python-using-cnn", "kernel_id": "189345"}, {"ref": "cjwker/tensorflow-deep-nn", "kernel_id": "189272"}, {"ref": "naveensaim/notebook65a62efd39", "kernel_id": "90903"}, {"ref": "nikonov/notebook-34363cbd1dc7924d526b", "kernel_id": "57978"}, {"ref": "yeepom/notebook679d527959", "kernel_id": "192816"}, {"ref": "yeepom/notebook4ed428b3f7", "kernel_id": "192817"}, {"ref": "spruce/notebook-af87bf262a0872689f59", "kernel_id": "58385"}, {"ref": "kepler/hhh444", "kernel_id": "58504"}, {"ref": "badassd/notebook6b4643dedc", "kernel_id": "96371"}, {"ref": "jmoianes/some-basic-testing", "kernel_id": "105372"}, {"ref": "overseer66/notebook-58788c2433e882827192", "kernel_id": "58540"}, {"ref": "lancecrayon/testdigitcl", "kernel_id": "87552"}, {"ref": "cpssensor/digit-evan", "kernel_id": "75069"}, {"ref": "cpssensor/notebook-c37a9f1bc02e811885f6", "kernel_id": "58533"}, {"ref": "cpssensor/notebook-58da1409ab8d808fa3de", "kernel_id": "58534"}, {"ref": "cpssensor/calltest", "kernel_id": "58535"}, {"ref": "jinyunghong/tensorflow-deep-nn", "kernel_id": "58956"}, {"ref": "jinyunghong/notebook-de46b08fece89ea15b31", "kernel_id": "58958"}, {"ref": "jinyunghong/notebook-59ea00b4e7543c4a6bb8", "kernel_id": "58959"}, {"ref": "devrohitraj/tensorflow-deep-nn", "kernel_id": "141049"}, {"ref": "thomazcsantos/first-test", "kernel_id": "58761"}, {"ref": "noahzhang/tensorflow-deep-nn", "kernel_id": "58849"}, {"ref": "noahzhang/notebook-66b2f74ef09554f96482", "kernel_id": "58850"}, {"ref": "noahzhang/notebook-1fc796d58f6df8c89ac6", "kernel_id": "58852"}, {"ref": "nakanishi/kerasvm", "kernel_id": "90238"}, {"ref": "ateexd/notebook202ef52c40", "kernel_id": "144066"}, {"ref": "ateexd/knn-from-scratch-in-python-at-97-1", "kernel_id": "90710"}, {"ref": "ettoreriva/digit-analysis", "kernel_id": "229875"}, {"ref": "jinwhipark/notebook67fd9f5e22", "kernel_id": "117691"}, {"ref": "adriendoumergue/test00", "kernel_id": "59091"}, {"ref": "adriendoumergue/notebook-a166dc44c06d885488ff", "kernel_id": "59092"}, {"ref": "adriendoumergue/notebook-99ca5d4d2588a7fcc36a", "kernel_id": "59629"}, {"ref": "adriendoumergue/notebook-6a5a2cce3f5e4aa3402a", "kernel_id": "65637"}, {"ref": "adriendoumergue/notebook-4c5f6c15c23efad519c6", "kernel_id": "65686"}, {"ref": "adriendoumergue/notebook-18ccde66f847cfd29278", "kernel_id": "65646"}, {"ref": "watts2/notebook03b9f3fb3d", "kernel_id": "232633"}, {"ref": "khwunchai/knn-from-scratch-in-python-at-97-1", "kernel_id": "81514"}, {"ref": "pandelani/not-using-ml-so-it-s-imprecise", "kernel_id": "67976"}, {"ref": "pandelani/notebook-a450bb00d151ed506012", "kernel_id": "67977"}, {"ref": "pandelani/let-s-see-this", "kernel_id": "67978"}, {"ref": "pandelani/cnn-for-digits", "kernel_id": "121433"}, {"ref": "younghitchcock/notebook-dd3c73439ce2ef13d3cb", "kernel_id": "66524"}, {"ref": "younghitchcock/notebook-204848a9b31bbf5c4c9b", "kernel_id": "66527"}, {"ref": "younghitchcock/notebook-478377179ca46fe150df", "kernel_id": "66528"}, {"ref": "xemens/first-try-randomforest-pca", "kernel_id": "60861"}, {"ref": "chorissteve/notebook-c1e42fbf219ec5edc278", "kernel_id": "74246"}, {"ref": "chorissteve/notebook-eb01c9d0273486bcc948", "kernel_id": "74311"}, {"ref": "chorissteve/notebook-4e2eab0adedaf10b69ad", "kernel_id": "74347"}, {"ref": "lucasobara/cnn-theano-rmsprop-elu", "kernel_id": "125810"}, {"ref": "joaoamaral/notebook-fca7ed71f3cfff671c88", "kernel_id": "69071"}, {"ref": "joaoamaral/notebook-3bec8d178432501bd38c", "kernel_id": "69072"}, {"ref": "goooosick/begin", "kernel_id": "60189"}, {"ref": "cjyou2016/tensorflow-deep-nn", "kernel_id": "107795"}, {"ref": "kebniss/notebook-337118edc5124c670d68", "kernel_id": "60450"}, {"ref": "bonacinalucaasp/notebookdb6cf8a431", "kernel_id": "247887"}, {"ref": "lthqqmsn/digit-recognizer-in-python-using-cnn", "kernel_id": "94396"}, {"ref": "frankzyt/tensorflow-deep-nn", "kernel_id": "130754"}, {"ref": "aqpoona/number-recognition", "kernel_id": "60258"}, {"ref": "fangdenghui/simpletest", "kernel_id": "277493"}, {"ref": "theforecastkid/pca-knn-97-7-leaderboard-score", "kernel_id": "182029"}, {"ref": "theforecastkid/notebook056c816285", "kernel_id": "182034"}, {"ref": "theforecastkid/pca-knn-and-vizualization", "kernel_id": "242294"}, {"ref": "theforecastkid/notebookdc81ba1d4c", "kernel_id": "242291"}, {"ref": "overfit/notebook-3fda8d301203dcc76331", "kernel_id": "61801"}, {"ref": "namco1992/notebook2ebae9bc1f", "kernel_id": "243718"}, {"ref": "namco1992/notebook7dbf4193ff", "kernel_id": "243835"}, {"ref": "vineetkothari/notebookd5de2a6c58", "kernel_id": "164392"}, {"ref": "ahmetyazar/tensorflow-deep-nn", "kernel_id": "165699"}, {"ref": "nicolimar/tensorflow-deep-nn", "kernel_id": "96922"}, {"ref": "aeraeck/notebook-a3b5ce9a138543949dea", "kernel_id": "60585"}, {"ref": "davlia/tensorflow-deep-nn", "kernel_id": "60650"}, {"ref": "akinsola/random-forest", "kernel_id": "67821"}, {"ref": "blutea/digit-recognition-using-random-forest", "kernel_id": "66146"}, {"ref": "nekomimimi/first", "kernel_id": "173037"}, {"ref": "nekomimimi/notebook8217630176", "kernel_id": "173038"}, {"ref": "nekomimimi/notebookf7ff64c0e3", "kernel_id": "173067"}, {"ref": "nekomimimi/notebook8c8e64d4c0", "kernel_id": "173064"}, {"ref": "nekomimimi/notebookcc0c294bec", "kernel_id": "173077"}, {"ref": "nekomimimi/notebookcca6c102e2", "kernel_id": "173078"}, {"ref": "nekomimimi/notebookc5d171260d", "kernel_id": "173032"}, {"ref": "nekomimimi/notebookbe8235ce9e", "kernel_id": "173170"}, {"ref": "nekomimimi/test1", "kernel_id": "173171"}, {"ref": "nekomimimi/notebook65b82b0c4e", "kernel_id": "173184"}, {"ref": "nekomimimi/notebooka6f3874fda", "kernel_id": "173181"}, {"ref": "nekomimimi/interactive-intro-to-dimensionality-reduction", "kernel_id": "173166"}, {"ref": "nekomimimi/notebook873fdb9a0d", "kernel_id": "173736"}, {"ref": "nekomimimi/notebook3a0e530872", "kernel_id": "173737"}, {"ref": "eowyn5/sstem-predictive-data-sciene-project", "kernel_id": "60934"}, {"ref": "eowyn5/tensorflow-deep-nn", "kernel_id": "60955"}, {"ref": "linapb/randomforest", "kernel_id": "78556"}, {"ref": "vionaq/notebook946b0ed958", "kernel_id": "230954"}, {"ref": "vionaq/deep-mnist-using-tensorflow", "kernel_id": "207878"}, {"ref": "vionaq/deep-mnist-using-tensorflow-script", "kernel_id": "208981"}, {"ref": "vionaq/single-layer-nn-using-basic-python-libraries", "kernel_id": "219968"}, {"ref": "jameskerns/mnist", "kernel_id": "61436"}, {"ref": "jameskerns/notebook-ec74f027572ea3de48b2", "kernel_id": "61437"}, {"ref": "peterkirby/tensorflow-deep-nn", "kernel_id": "107857"}, {"ref": "dunder69/tensorflow-deep-nn", "kernel_id": "61190"}, {"ref": "dunder69/notebook-ac481c3287888c954445", "kernel_id": "61195"}, {"ref": "dunder69/notebook-b1842c1cebf42a95e60d", "kernel_id": "61196"}, {"ref": "murkalv/notebook-67ddd7d8ea5ce9021bb9", "kernel_id": "61735"}, {"ref": "murkalv/notebook-62fcbfb06ecfcf92853f", "kernel_id": "61736"}, {"ref": "murkalv/notebook-08b1743b25c1b2e86ac6", "kernel_id": "61737"}, {"ref": "murkalv/displaytraining", "kernel_id": "61180"}, {"ref": "showeru/minst", "kernel_id": "62000"}, {"ref": "kevinniemann/notebook-67ef9ee5c1154f0147c4", "kernel_id": "65138"}, {"ref": "kevinniemann/notebook-12c6e9722d00dd70ee6b", "kernel_id": "65139"}, {"ref": "bhavesh09/what-s-your-number", "kernel_id": "873427"}, {"ref": "takayuki1127/notebookbea0541523", "kernel_id": "106672"}, {"ref": "timinko/notebook-b0ba2740c27e9b521a5f", "kernel_id": "69901"}, {"ref": "wangkaiqiang/notebookb3c84207a2", "kernel_id": "95234"}, {"ref": "wangkaiqiang/notebook-e7ee4a03897a2676b6e2", "kernel_id": "68695"}, {"ref": "ecaceres/digit-recognizer-in-r", "kernel_id": "61718"}, {"ref": "ecaceres/notebook-4feaeb02088c2e0375f7", "kernel_id": "61719"}, {"ref": "ecaceres/notebook-a26c1af36c1cbdcda835", "kernel_id": "61721"}, {"ref": "ecaceres/notebook-ddf695a0180e197bfd20", "kernel_id": "61722"}, {"ref": "ecaceres/notebook-a04e64a2ce2838c29497", "kernel_id": "61816"}, {"ref": "ecaceres/notebook-fcab0a56f542f939488f", "kernel_id": "61812"}, {"ref": "ecaceres/ttt55665", "kernel_id": "61809"}, {"ref": "ecaceres/notebook-87de06691df9ede71696", "kernel_id": "61834"}, {"ref": "ecaceres/notebook-363c1acc378b70ca6635", "kernel_id": "66101"}, {"ref": "edwincapcha/knn-benchmark-with-96-7-accuracy", "kernel_id": "61863"}, {"ref": "liuwhoour/myfirstcnnfordigitrecognizer", "kernel_id": "223488"}, {"ref": "longcd/notebooke408817f82", "kernel_id": "129936"}, {"ref": "walterley/digit-recog-wl", "kernel_id": "69585"}, {"ref": "minhuaqiu/notebook-adba7e24d0052f1aea32", "kernel_id": "62259"}, {"ref": "minhuaqiu/notebook-3bab7dafb0049400e112", "kernel_id": "62218"}, {"ref": "minhuaqiu/tensorflowtest", "kernel_id": "62220"}, {"ref": "minhuaqiu/tensorflow-deep-nn", "kernel_id": "62199"}, {"ref": "minhuaqiu/notebook-2441a2b6891d6fae2dee", "kernel_id": "70732"}, {"ref": "minhuaqiu/notebook-2e22c3901147cf1a54c9", "kernel_id": "70733"}, {"ref": "minhuaqiu/notebook-7697ed1e46d52b1f21ff", "kernel_id": "70734"}, {"ref": "minhuaqiu/notebook-71d8f11f85b88ba3ff64", "kernel_id": "70735"}, {"ref": "minhuaqiu/notebook-15a112a36e6edf4ef510", "kernel_id": "70729"}, {"ref": "volg2ar/first", "kernel_id": "61905"}, {"ref": "ironstark/notebook3b304b28cd", "kernel_id": "142314"}, {"ref": "leejohn0516/cnn-on-mnist-with-tensorflow-99-1", "kernel_id": "62034"}, {"ref": "tim5754/notebook59e128d082", "kernel_id": "90241"}, {"ref": "garylai91/lenet-cnn", "kernel_id": "910387"}, {"ref": "shreeshaprabhu/my-first-script", "kernel_id": "71168"}, {"ref": "rmehta/test1-280616", "kernel_id": "74346"}, {"ref": "kuldeepldec/kuldeepldec", "kernel_id": "63743"}, {"ref": "tprofitt/tensorflow-deep-nn", "kernel_id": "62471"}, {"ref": "rksriram312/simple-support-vector-classifier", "kernel_id": "267979"}, {"ref": "yatharth96/notebook3f790814d0", "kernel_id": "228144"}, {"ref": "sebastianljs/tensorflow-deep-nn", "kernel_id": "154292"}, {"ref": "turingcomplete/notebook39f19d3aaa", "kernel_id": "91391"}, {"ref": "cooperxiong/ex-for-rfe", "kernel_id": "67015"}, {"ref": "cooperxiong/not-using-ml-so-it-s-imprecise", "kernel_id": "67269"}, {"ref": "robo87/tensorflow-deep-nn", "kernel_id": "97444"}, {"ref": "robo87/notebookb83a9df887", "kernel_id": "101613"}, {"ref": "robo87/notebook6b5cb5f4c3", "kernel_id": "99131"}, {"ref": "robo87/notebookaa6b6cd18b", "kernel_id": "99010"}, {"ref": "robo87/firstly", "kernel_id": "99012"}, {"ref": "robo87/notebook201fa07d95", "kernel_id": "100608"}, {"ref": "robo87/notebook9e30f2ba30", "kernel_id": "99818"}, {"ref": "robo87/notebookeb884ef426", "kernel_id": "99819"}, {"ref": "robo87/notebookdc0588de62", "kernel_id": "103737"}, {"ref": "robo87/notebook9c7163f503", "kernel_id": "107098"}, {"ref": "camillemasset/notebook-b67367802ebb1befebfd", "kernel_id": "63415"}, {"ref": "manuchroma/tensorflow-deep-nn", "kernel_id": "74969"}, {"ref": "raufbht/notebooke9098c485f", "kernel_id": "90054"}, {"ref": "xziems/digit-recognition", "kernel_id": "108945"}, {"ref": "xziems/keras-number-identification", "kernel_id": "129463"}, {"ref": "yuedang/test-1", "kernel_id": "254426"}, {"ref": "hassanaftab/deep-neural-network-keras-way", "kernel_id": "268069"}, {"ref": "btkrull/notebook-7512f2763179e75aa993", "kernel_id": "64158"}, {"ref": "pkuxiaoxiao/notebookbc1e94ce90", "kernel_id": "86652"}, {"ref": "yournote/simple-perceptron-classifier-0485b1e9", "kernel_id": "99740"}, {"ref": "yournote/simple-perceptron-classifier", "kernel_id": "99671"}, {"ref": "spcxtesla/notebook-0e590fb37586ade702b0", "kernel_id": "69822"}, {"ref": "keisei/knn-from-scratch-in-python-at-97-1", "kernel_id": "93112"}, {"ref": "keisei/test-notebook", "kernel_id": "92953"}, {"ref": "keisei/knn-from-scratch-in-python-at-97-1-ca209f4d", "kernel_id": "94327"}, {"ref": "keisei/notebook566fde8d93", "kernel_id": "239569"}, {"ref": "keisei/fork-of-notebook9c0e32fa91", "kernel_id": "220823"}, {"ref": "keisei/tfminibatch", "kernel_id": "215343"}, {"ref": "svakulenko/dnn-digit-recognizer", "kernel_id": "297273"}, {"ref": "travisb/notebook-e3c74dc461796392949b", "kernel_id": "79014"}, {"ref": "travisb/tensorflow-deep-nn", "kernel_id": "78769"}, {"ref": "fyasin/digit-recognition-fsy", "kernel_id": "161973"}, {"ref": "yichen123/tensorflow-lab", "kernel_id": "205163"}, {"ref": "yichen123/tensorflow-try", "kernel_id": "205174"}, {"ref": "yichen123/notebookc677e5dd4e", "kernel_id": "203492"}, {"ref": "dhayalkarsahilr/tensorflow-starter-pack-98-8-accuracy-with-cnn", "kernel_id": "389951"}, {"ref": "dhayalkarsahilr/easy-image-augmentation-techniques-for-mnist", "kernel_id": "389927"}, {"ref": "billfreeman44/default-script", "kernel_id": "63801"}, {"ref": "idchiang/built-in", "kernel_id": "65494"}, {"ref": "joaeechew/my-first-kaggle-script", "kernel_id": "64739"}, {"ref": "taksau/notebook08489a38cb", "kernel_id": "239487"}, {"ref": "taksau/notebook1a83e74ec9", "kernel_id": "234795"}, {"ref": "taksau/my-digit", "kernel_id": "234801"}, {"ref": "mraykay/digit-recognizer-in-python-using-cnn", "kernel_id": "92913"}, {"ref": "mraykay/digit-recognizer-in-python-using-cnn-27a1ca69", "kernel_id": "93135"}, {"ref": "tjones879/notebook-ec0364eebb231db840f0", "kernel_id": "64110"}, {"ref": "shreemoyeesarkar/deep-neural-network-keras-way", "kernel_id": "211278"}, {"ref": "shreemoyeesarkar/notebook9031c1c508", "kernel_id": "212889"}, {"ref": "shreemoyeesarkar/try2-deep-learning-keras", "kernel_id": "210721"}, {"ref": "kaky0922/tensorflow-deep-nn", "kernel_id": "65410"}, {"ref": "kaky0922/notebook-b219c164f1df740080d5", "kernel_id": "65443"}, {"ref": "kaky0922/notebook-231ab2f9b5c4d01e0868", "kernel_id": "66882"}, {"ref": "kaky0922/notebook-75abf5cce136f38a94d0", "kernel_id": "66759"}, {"ref": "gmrbbs/notebook-529edd78f1f28be8a0c4", "kernel_id": "64800"}, {"ref": "gmrbbs/tensorflow-deep-nn", "kernel_id": "64059"}, {"ref": "jorlando/a-beginner-s-approach-to-classification", "kernel_id": "163582"}, {"ref": "fgasparini/digit-recognition-1", "kernel_id": "65874"}, {"ref": "nitink12/test-kernel", "kernel_id": "247282"}, {"ref": "yuantsenwang/deep-convolutional-network-using-keras", "kernel_id": "84650"}, {"ref": "yuantsenwang/notebook-fd6ace05093a55a04615", "kernel_id": "81262"}, {"ref": "allencaixy/tensorflow-deep-nn", "kernel_id": "64298"}, {"ref": "longxingol/notebook92ced531c6", "kernel_id": "109162"}, {"ref": "longxingol/notebook71b1c40f6a", "kernel_id": "109964"}, {"ref": "longxingol/notebook-d05d10324c391d4f0036", "kernel_id": "70537"}, {"ref": "florianpaquet/notebook-bb4b2457585c8a3d0328", "kernel_id": "64309"}, {"ref": "florianpaquet/notebook-03f7bcd921e2f8e27d09", "kernel_id": "64310"}, {"ref": "florianpaquet/notebook-d5629f01a7d94f4f8ff1", "kernel_id": "64312"}, {"ref": "florianpaquet/notebook-c406b11395680da21447", "kernel_id": "64314"}, {"ref": "florianpaquet/notebook-36f3d3aada1bc8a2543c", "kernel_id": "64315"}, {"ref": "sofmonk/digit-recognizer-random-forest", "kernel_id": "194816"}, {"ref": "eshanashfaque/linear-svm-model-for-mnist", "kernel_id": "162149"}, {"ref": "javaeria/pca-with-logisitic-regression", "kernel_id": "148757"}, {"ref": "alvinjamur/tensorflow-deep-nn", "kernel_id": "116745"}, {"ref": "alwyndp/clusters-in-2d-with-tsne-vs-pca", "kernel_id": "231613"}, {"ref": "c4ptain/notebook-6815a5ea0aca4d4a28fc", "kernel_id": "66023"}, {"ref": "c4ptain/tests", "kernel_id": "66024"}, {"ref": "robotdaneel/notebook-fcb418e1bdb5d9224842", "kernel_id": "64632"}, {"ref": "skyle05/tensorflow-deep-nn", "kernel_id": "72931"}, {"ref": "skyle05/notebook-08f573e5892fdb84e83d", "kernel_id": "72934"}, {"ref": "willyboy0/a-simple-2-layer-neural-network-model", "kernel_id": "187478"}, {"ref": "souravsingh/notebook1a6450631a", "kernel_id": "137748"}, {"ref": "souravsingh/notebooke5354e3ca9", "kernel_id": "137723"}, {"ref": "souravsingh/notebook64eaaee164", "kernel_id": "137595"}, {"ref": "souravsingh/keras-digit-recognizer", "kernel_id": "137600"}, {"ref": "xdli05/tensorflow-deep-nn", "kernel_id": "73200"}, {"ref": "xdli05/deep-convolutional-network-using-keras", "kernel_id": "73190"}, {"ref": "wuweichina/simple-perceptron-classifier", "kernel_id": "84116"}, {"ref": "wuweichina/digit-recongnizer", "kernel_id": "92175"}, {"ref": "qianchao/97-9-accuracy-on-test-data-using-pca-before-svm", "kernel_id": "222683"}, {"ref": "anandravi/notebook6207063f8f", "kernel_id": "87085"}, {"ref": "kangaeyo/hello-r", "kernel_id": "77444"}, {"ref": "kangaeyo/jiken", "kernel_id": "77445"}, {"ref": "kuangliang/digit-recogniser", "kernel_id": "102337"}, {"ref": "debdaspur/digi-recog2", "kernel_id": "164276"}, {"ref": "debdaspur/notebook6b3fc26d70", "kernel_id": "164272"}, {"ref": "debdaspur/digi-recog", "kernel_id": "160125"}, {"ref": "lhassan/notebook-0d1e7fda544c367269e4", "kernel_id": "67121"}, {"ref": "lituanhui77/introduction-to-cnn-keras-0-997-top-6-870b5c", "kernel_id": "520140"}, {"ref": "scottlawsonbc/mnist-test", "kernel_id": "66866"}, {"ref": "jimliu/deep-learning-test", "kernel_id": "177076"}, {"ref": "jmwolberg/notebook-fb52174732581258d8a6", "kernel_id": "66824"}, {"ref": "jmwolberg/tensorflow-deep-nn", "kernel_id": "66119"}, {"ref": "jmwolberg/notebook-50cfb516df129dd10b79", "kernel_id": "71987"}, {"ref": "jmwolberg/notebook-e4024ec37322d37eae3a", "kernel_id": "71988"}, {"ref": "jmwolberg/notebook-4b94f0524c0c74911182", "kernel_id": "71985"}, {"ref": "jmwolberg/notebook-f4c6e9dbdec484846d5c", "kernel_id": "72010"}, {"ref": "jmwolberg/notebook-1020a8ad88bc271facb8", "kernel_id": "72011"}, {"ref": "jmwolberg/notebook-ebba16459a845e051d34", "kernel_id": "72897"}, {"ref": "akhrail/notebook-30e4731febdb648bd6cf", "kernel_id": "80744"}, {"ref": "janthony13/example", "kernel_id": "65715"}, {"ref": "janthony13/notebook-f473fd083b9e703f8061", "kernel_id": "65263"}, {"ref": "janthony13/mnist-janthony-5-21-16", "kernel_id": "65264"}, {"ref": "minimini/tensorflow-deep-nn", "kernel_id": "65379"}, {"ref": "minimini/notebook-73ad75a47c4dabdc06da", "kernel_id": "72287"}, {"ref": "rachitagrwl7/notebook4d1e4d7195", "kernel_id": "202558"}, {"ref": "atmaks/digits", "kernel_id": "216724"}, {"ref": "machinando/mnist-tutorial", "kernel_id": "125637"}, {"ref": "machinando/tensorflow-deep-nn", "kernel_id": "128806"}, {"ref": "trqj999/interactive-intro-to-dimensionality-reduction", "kernel_id": "177918"}, {"ref": "trqj999/fork-of-notebook62669b6fd6", "kernel_id": "169489"}, {"ref": "trqj999/notebooke21a14705e", "kernel_id": "161553"}, {"ref": "trqj999/tensorflow-deep-nn", "kernel_id": "161558"}, {"ref": "jordanhart/knn-from-scratch-in-python-at-97-1", "kernel_id": "93992"}, {"ref": "melvng/just-testing", "kernel_id": "204357"}, {"ref": "zubairahmed/mnist-with-keras", "kernel_id": "487198"}, {"ref": "zubairahmed/tensorflow-deep-nn", "kernel_id": "401684"}, {"ref": "zubairahmed/cnn-with-tensorflow-dlfn-udacity", "kernel_id": "403816"}, {"ref": "zubairahmed/digit-recognizer-in-python-using-cnn", "kernel_id": "403817"}, {"ref": "zubairahmed/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "403818"}, {"ref": "zubairahmed/welcome-to-deep-learning-cnn-99", "kernel_id": "403819"}, {"ref": "rtsrangel/notebook-36645fc3c9df953d58a7", "kernel_id": "65539"}, {"ref": "sunny1203046/digit-recognizer-in-python-using-cnn", "kernel_id": "87087"}, {"ref": "chriskaschner/simple-perceptron-classifier", "kernel_id": "74422"}, {"ref": "rajiv1990/ocr-rajiv1990", "kernel_id": "172810"}, {"ref": "lvxiuyuan90/tensorflow-deep-nn", "kernel_id": "90859"}, {"ref": "ark2393/classifier-comparation-for-digit-recognition", "kernel_id": "260798"}, {"ref": "joostgp/simple-perceptron-classifier", "kernel_id": "68167"}, {"ref": "americandesi/notebookdedf6d491b", "kernel_id": "104667"}, {"ref": "csyhuang/testing-rf-for-digits", "kernel_id": "109482"}, {"ref": "ernie55ernie/mnist-with-keras-visualization-and-saliency-map", "kernel_id": "190618"}, {"ref": "wfalcon/random-forest", "kernel_id": "66445"}, {"ref": "wfalcon/notebook-9591b09e39681e71e3c2", "kernel_id": "66446"}, {"ref": "argsno/notebook-f5ea15fed959c5f759d2", "kernel_id": "67186"}, {"ref": "codymcmahon/notebook-e7a703cc15a9d0eb7e36", "kernel_id": "66197"}, {"ref": "codymcmahon/read-numbers", "kernel_id": "66198"}, {"ref": "daisuke834/notebook-9bc171c05a8bd0b8e2ce", "kernel_id": "66185"}, {"ref": "hsokhey/example-handwritten-digits-fixed", "kernel_id": "135198"}, {"ref": "vadimus/mnistscan-001", "kernel_id": "68147"}, {"ref": "ruelemon/knn-from-scratch-in-python-at-97-1", "kernel_id": "112972"}, {"ref": "ruelemon/tensorflow-deep-nn", "kernel_id": "113577"}, {"ref": "ybping/digits-recognizer", "kernel_id": "97908"}, {"ref": "sadishradjefr/notebook-71e8038742d28324eee9", "kernel_id": "74354"}, {"ref": "tejank10/cnn-on-digit-recognition", "kernel_id": "149187"}, {"ref": "tejank10/notebook873c3aa9d8", "kernel_id": "148433"}, {"ref": "bissben/notebookbb3327db5d", "kernel_id": "96236"}, {"ref": "sherlockliao/simple-perceptron-classifier", "kernel_id": "97116"}, {"ref": "jspaine/tensorflow-conv-mnist", "kernel_id": "189986"}, {"ref": "jspaine/notebookd8db2525fc", "kernel_id": "189839"}, {"ref": "oanads/digitrecogniser", "kernel_id": "80615"}, {"ref": "coppensg/notebook5e816e8065", "kernel_id": "125355"}, {"ref": "xuwh02/knn-from-scratch-in-python-at-97-1", "kernel_id": "143212"}, {"ref": "xuwh02/tensorflow-deep-nn", "kernel_id": "143213"}, {"ref": "xuwh02/naive-bayes-multinomailnb", "kernel_id": "143615"}, {"ref": "xuwh02/comparing-random-forest-pca-and-knn", "kernel_id": "145662"}, {"ref": "yogiman/tests", "kernel_id": "68009"}, {"ref": "yogiman/notebook-14c2f0f2a9b7cbb80629", "kernel_id": "68010"}, {"ref": "yogiman/notebook-83e419fbc3a256b86de8", "kernel_id": "70314"}, {"ref": "mhjafari/notebook-8103b2b258416dc6e3ac", "kernel_id": "67023"}, {"ref": "walterps/notebook-83028252ff99a82bac51", "kernel_id": "72257"}, {"ref": "walterps/tensorflow-deep-nn", "kernel_id": "72259"}, {"ref": "nigredon1991/multilayer-perceptron-for-beginner-simple", "kernel_id": "135619"}, {"ref": "nigredon1991/keras-cnn-with-explanation", "kernel_id": "135643"}, {"ref": "avantdav/notebook-09f260eb81ef5df59a85", "kernel_id": "67133"}, {"ref": "rojopitiavana/notebookf6a534b462", "kernel_id": "150427"}, {"ref": "rojopitiavana/simple-neural-network-with-keras", "kernel_id": "150428"}, {"ref": "rojopitiavana/notebooke9c5cc9808", "kernel_id": "150431"}, {"ref": "wanmingyang/notebook-9358a2af3602a7cc1d16", "kernel_id": "68014"}, {"ref": "cdhawan/notebook12b13c82f3", "kernel_id": "94774"}, {"ref": "popythesailor/notebook-ad82d416d500652c54be", "kernel_id": "67260"}, {"ref": "qq275170977/simple-perceptron-classifier", "kernel_id": "67337"}, {"ref": "cjansen/grenholm-in-script-edited-lb-0-99286", "kernel_id": "299156"}, {"ref": "cjansen/tensorflow-deep-nn", "kernel_id": "251268"}, {"ref": "trgosselin14/notebook124d54f0e5", "kernel_id": "91624"}, {"ref": "abdulhamid/tensorflow-deep-nn-97e964eb", "kernel_id": "106240"}, {"ref": "abdulhamid/tensorflow-deep-nn", "kernel_id": "106233"}, {"ref": "hubbdeveloper/notebook-673a8ab49c567f7197b3", "kernel_id": "67469"}, {"ref": "yguobin/logistic-regression", "kernel_id": "89579"}, {"ref": "yuchenwang/tensorflow-deep-nn", "kernel_id": "164308"}, {"ref": "yuchenwang/tensorflow-deep-nn-2f81393f", "kernel_id": "164312"}, {"ref": "yuchenwang/tensorflow-deep-nn-a03c60f0", "kernel_id": "164930"}, {"ref": "gunjan1991/pca-and-svm-on-mnist-dataset", "kernel_id": "183212"}, {"ref": "gunjan1991/notebook1fc89cf5b6", "kernel_id": "100542"}, {"ref": "mikevdickson/deviation-from-average-penmanship", "kernel_id": "106714"}, {"ref": "simonholland/notebookabd5fce37b", "kernel_id": "171525"}, {"ref": "jstrout/tensorflow-deep-nn", "kernel_id": "67576"}, {"ref": "jstrout/notebook-8b8798b9c5019dfae9de", "kernel_id": "67577"}, {"ref": "jstrout/notebook-3aec2fa12365d7471a45", "kernel_id": "67641"}, {"ref": "manishdwibedy/digit-reconginer", "kernel_id": "86565"}, {"ref": "lucas001/mnist-recognizer", "kernel_id": "275486"}, {"ref": "liukang92/notebook-1b022c6ea6f203c03479", "kernel_id": "71893"}, {"ref": "keeks123/tensorflow-deep-nn", "kernel_id": "102867"}, {"ref": "x14115581/notebook-fa3403b1117133808a6f", "kernel_id": "77137"}, {"ref": "alesgb/state-of-the-art-cnn-in-pytorch-on-gpu", "kernel_id": "908760"}, {"ref": "alesgb/resnet-18-in-pytorch-on-gpu", "kernel_id": "908895"}, {"ref": "alesgb/pytorch-cnn-with-inralayer-connections-on-gpu", "kernel_id": "907617"}, {"ref": "alesgb/lenet-in-mxnet-for-mnist-classification", "kernel_id": "899290"}, {"ref": "divusree/simple-perceptron-classifier-c6a51ad0", "kernel_id": "85742"}, {"ref": "divusree/notebook-7c97d4c4b6f7881d826d", "kernel_id": "67794"}, {"ref": "divusree/simple-perceptron-classifier", "kernel_id": "67789"}, {"ref": "divusree/notebook-86f06256aeca57f62d80", "kernel_id": "67790"}, {"ref": "divusree/notebook-e791342279159641c9f4", "kernel_id": "67803"}, {"ref": "plasticmonkey/notebook-e222f049787b6b4867d9", "kernel_id": "82582"}, {"ref": "baltox61/baltos-attempt", "kernel_id": "67901"}, {"ref": "baltox61/python-test", "kernel_id": "67903"}, {"ref": "jrdoro/notebook-57b4ce6b0ac36db1743d", "kernel_id": "67955"}, {"ref": "qijialiu/notebook-70d758180a4abbfed1ac", "kernel_id": "67965"}, {"ref": "dashwang/notebook9ce105c030", "kernel_id": "231439"}, {"ref": "prakhar0409/tensorflow-deep-nn-hack", "kernel_id": "121794"}, {"ref": "asparago/unsupervised-learning-with-som", "kernel_id": "850066"}, {"ref": "bdaubney/numbers", "kernel_id": "124453"}, {"ref": "lovemyjean/tensorflow-deep-nn", "kernel_id": "93474"}, {"ref": "swoolery/notebook-64c7c0548f67fc6bde81", "kernel_id": "78282"}, {"ref": "swoolery/notebook-7222daac681927dbc33d", "kernel_id": "78283"}, {"ref": "swoolery/notebook-f19b7fdf0f574079501b", "kernel_id": "78659"}, {"ref": "swoolery/sw-digitrecog", "kernel_id": "78661"}, {"ref": "swoolery/notebook-13622e7d2086ce52e538", "kernel_id": "78697"}, {"ref": "swoolery/notebook-4add6a019b0bdf5585df", "kernel_id": "78634"}, {"ref": "swoolery/notebook-212edf2f0eaa6e931ebb", "kernel_id": "79020"}, {"ref": "dreamwave/tensorflow-deep-nn", "kernel_id": "124861"}, {"ref": "chahla/handwriting-to-text", "kernel_id": "68350"}, {"ref": "mier85/simple-perceptron-classifier", "kernel_id": "68596"}, {"ref": "anki08/digit-recogniser-using-pca-n-svm", "kernel_id": "103951"}, {"ref": "anki08/notebook66f9ef17a9", "kernel_id": "103917"}, {"ref": "anki08/knn-from-scratch-in-python-at-97-1", "kernel_id": "102255"}, {"ref": "shobhitbhatnagar1/notebook-bcedd8cf093677945854", "kernel_id": "79887"}, {"ref": "mheike86/notebook-04603c565930f78e97cf", "kernel_id": "85614"}, {"ref": "shengyg/notebook22721b059e", "kernel_id": "235193"}, {"ref": "lookis/helloworld", "kernel_id": "69115"}, {"ref": "lookis/tensorflow-deep-nn", "kernel_id": "69367"}, {"ref": "sergiofil/mainscript", "kernel_id": "68938"}, {"ref": "zyllcz/tensorflow-deep-nn", "kernel_id": "111267"}, {"ref": "genjou/recognizer", "kernel_id": "74374"}, {"ref": "fsotuyo/notebooka65c5e3d5e", "kernel_id": "134061"}, {"ref": "mariganeshkumar/tensorflow-deep-nn", "kernel_id": "69700"}, {"ref": "mixflow/randomforest", "kernel_id": "80490"}, {"ref": "pavan17/d12345", "kernel_id": "121078"}, {"ref": "pavan17/notebook1a08075aa9", "kernel_id": "121069"}, {"ref": "flaport/tensorflow-cnn-lb-0-98929", "kernel_id": "175320"}, {"ref": "trome17/tensorflow-2-layer-neural-net", "kernel_id": "182007"}, {"ref": "biosopher/simple-deep-mlp-with-keras", "kernel_id": "113019"}, {"ref": "jimmylian/notebook-df1255a5aa6c3ef43761", "kernel_id": "82019"}, {"ref": "jimmylian/notebook-de83ff675cd95cd418bb", "kernel_id": "82040"}, {"ref": "jimmylian/notebook-fdc7385f52acc2b88f26", "kernel_id": "82041"}, {"ref": "jimmylian/svm-and-pca-in-sklearn", "kernel_id": "82043"}, {"ref": "deniseyeo/notebook-bca38ddc1c05cf17bf91", "kernel_id": "82553"}, {"ref": "deniseyeo/notebook-6466d2a48d74b3f022a6", "kernel_id": "82555"}, {"ref": "jollyabject/notebook-9d2fe7b58f324168b265", "kernel_id": "69497"}, {"ref": "hc2016/test2-py", "kernel_id": "101683"}, {"ref": "hc2016/test-py", "kernel_id": "101647"}, {"ref": "blueberrybill/scribblescrabble", "kernel_id": "80516"}, {"ref": "jnconar/notebook9bc25bbd68", "kernel_id": "221839"}, {"ref": "aomega08/tensorflow-introduction", "kernel_id": "298255"}, {"ref": "mlhengin/notebook-c76793fdd3681d603d6b", "kernel_id": "70656"}, {"ref": "mlhengin/notebook-7fb0a5d991063dff0965", "kernel_id": "70662"}, {"ref": "cmtran/digit-reg", "kernel_id": "105933"}, {"ref": "gadishor/digits-randomforest", "kernel_id": "70375"}, {"ref": "gadishor/notebook-cb179ff4d9f1c388b163", "kernel_id": "70372"}, {"ref": "morisrand/notebook545d95dc81", "kernel_id": "161633"}, {"ref": "oortsaurus/notebook04e91e2784", "kernel_id": "118630"}, {"ref": "qingstanley/notebook-3b2289e8e34dd2d77088", "kernel_id": "70747"}, {"ref": "rohitjain3241/knn-from-scratch-in-python-at-97-1", "kernel_id": "87720"}, {"ref": "rohitjain3241/tensorflow-deep-nn", "kernel_id": "87721"}, {"ref": "longyangking/notebookd7133fe548", "kernel_id": "94877"}, {"ref": "longyangking/digitrecognition", "kernel_id": "94878"}, {"ref": "longyangking/dr-pca-svm", "kernel_id": "106404"}, {"ref": "longyangking/digit-recognition", "kernel_id": "105861"}, {"ref": "ruining/tensorflow-deep-nn", "kernel_id": "90760"}, {"ref": "slvabtop/notebook26abe66e08", "kernel_id": "138327"}, {"ref": "slvabtop/knn-96-8-accuracy", "kernel_id": "161543"}, {"ref": "syuchang/notebook-c8267332c5508a24eff8", "kernel_id": "74880"}, {"ref": "syuchang/canyoudig", "kernel_id": "74897"}, {"ref": "syuchang/notebook-db8f2e1a63a50b32fc0b", "kernel_id": "74898"}, {"ref": "syuchang/notebook-ab7057284ded5d8e6ad4", "kernel_id": "74899"}, {"ref": "syuchang/ooooooooo", "kernel_id": "74900"}, {"ref": "teddyshaw1992/my-first-test", "kernel_id": "73728"}, {"ref": "teddyshaw1992/testsasd-wdsd", "kernel_id": "73726"}, {"ref": "jhoon4574/tensorflow-deep-nn", "kernel_id": "70860"}, {"ref": "fengweikaggle/notebook-90a1cec616b426e3f64e", "kernel_id": "81535"}, {"ref": "fengweikaggle/notebook-51086dc24d95c5e4f905", "kernel_id": "81662"}, {"ref": "andypicke/introduction-to-deep-learning-with-keras", "kernel_id": "252592"}, {"ref": "sathyawb/title1", "kernel_id": "71055"}, {"ref": "semaphore/tensorflow-deep-nn", "kernel_id": "94177"}, {"ref": "diliptharuka/notebook-8049b85fa53827efeb67", "kernel_id": "74683"}, {"ref": "diliptharuka/notebook-24145e62ab79cf9bd9a9", "kernel_id": "74684"}, {"ref": "loseryao/notebook-a291e53b8d27d9922e29", "kernel_id": "72878"}, {"ref": "luudactam/tensorflow-deep-nn", "kernel_id": "193733"}, {"ref": "luudactam/tensorflow-deep-nn-05b7e8", "kernel_id": "193829"}, {"ref": "ashit10/tensorflow-deep-nn", "kernel_id": "172714"}, {"ref": "floweso/notebook-e7d87b0f8aae74a71c7e", "kernel_id": "71477"}, {"ref": "floweso/digit-recognizer", "kernel_id": "71479"}, {"ref": "yugoren/notebook-3ea67e2e6402309db1fd", "kernel_id": "71417"}, {"ref": "yugoren/notebook-2b6559b432733f115b1b", "kernel_id": "71412"}, {"ref": "yugoren/notebook-cbd901633852f77de7a0", "kernel_id": "71408"}, {"ref": "yjwang1222/notebook-3f5a1200604558657442", "kernel_id": "71525"}, {"ref": "wangchen1ren/notebookda35a8fce9", "kernel_id": "238688"}, {"ref": "redaaffane/digit-recognizer-in-python-using-cnn", "kernel_id": "96131"}, {"ref": "yhidaka/testcode", "kernel_id": "75755"}, {"ref": "yunzhizhou/use-pca-and-svm-to-recognize-digits", "kernel_id": "213717"}, {"ref": "yunzhizhou/notebookfbc3babd6a", "kernel_id": "213733"}, {"ref": "yunzhizhou/notebook055e163427", "kernel_id": "212448"}, {"ref": "route58/notebook17c4ba9e33", "kernel_id": "90247"}, {"ref": "kyu0110/testingtesting", "kernel_id": "73149"}, {"ref": "akshay0724/notebookba1989f33f", "kernel_id": "113355"}, {"ref": "mauddib/digit-recogniser-tutorial-using-a-cnn-tensorflow", "kernel_id": "727837"}, {"ref": "mauddib/digit-recogniser-cnn-in-r-tutorial", "kernel_id": "748356"}, {"ref": "mauddib/digit-recogniser-with-r-and-h2o", "kernel_id": "714258"}, {"ref": "jeremie123/tensorflow-deep-nn", "kernel_id": "146062"}, {"ref": "techlearner/notebook-e942ca22494926848402", "kernel_id": "78255"}, {"ref": "techlearner/notebook-a1a242a0839ba092b62a", "kernel_id": "78159"}, {"ref": "techlearner/notebook-71ed5571db75e4089853", "kernel_id": "78171"}, {"ref": "techlearner/notebook-84f0768d4a8580480526", "kernel_id": "78155"}, {"ref": "techlearner/notebook-8b4dfa42f6b663a915f3", "kernel_id": "78156"}, {"ref": "techlearner/notebook-87aa0d414eadc58fb964", "kernel_id": "78157"}, {"ref": "techlearner/simple-perceptron-classifier", "kernel_id": "78125"}, {"ref": "techlearner/notebook-14efca4a96223c21415e", "kernel_id": "78131"}, {"ref": "sriharirao/test1", "kernel_id": "101174"}, {"ref": "jbears9/notebook-d9b81721ec20c3b8ee90", "kernel_id": "72387"}, {"ref": "mattwills8/v-simple-cnn-with-keras", "kernel_id": "831604"}, {"ref": "zengjunwen/notebook-d68bbb0b9a6dd61f3428", "kernel_id": "72848"}, {"ref": "zengjunwen/testone", "kernel_id": "72746"}, {"ref": "zengjunwen/notebook-a0cc89805ffbec5ba89f", "kernel_id": "72748"}, {"ref": "zengjunwen/notebook-17ee1ef710655bf2744a", "kernel_id": "72752"}, {"ref": "zengjunwen/notebook-99a26b75d6020ac08b03", "kernel_id": "72754"}, {"ref": "zengjunwen/notebook-26a1d34a13392094e6e5", "kernel_id": "72756"}, {"ref": "freakyoiseau/tensorflow-deep-nn-8ad73a", "kernel_id": "196291"}, {"ref": "freakyoiseau/tensorflow-deep-nn", "kernel_id": "153985"}, {"ref": "dto123/pythoncrap", "kernel_id": "81588"}, {"ref": "prakritidevverma/notebook9efca280a6", "kernel_id": "215452"}, {"ref": "prakritidevverma/notebook2f7e821ea0", "kernel_id": "193802"}, {"ref": "davidyjun/interactive-intro-to-dimensionality-reduction", "kernel_id": "177112"}, {"ref": "martbr86/test01", "kernel_id": "114021"}, {"ref": "petergpinto/notebook-88d13351d0672235c787", "kernel_id": "81375"}, {"ref": "petergpinto/notebook-0ea43a463cc748ba207f", "kernel_id": "81602"}, {"ref": "petergpinto/notebook-33f4307a86c3b8bbeb1f", "kernel_id": "81654"}, {"ref": "binodaryal/annocr", "kernel_id": "76574"}, {"ref": "juliojaavier/notebook-6d25db269bd292e45b9b", "kernel_id": "74494"}, {"ref": "juliojaavier/digit-recognizer-using-svm-classifier", "kernel_id": "74465"}, {"ref": "edebrouwer/digit-classifier", "kernel_id": "111413"}, {"ref": "wittenator/notebook-ef9b65ae03d667ff48f1", "kernel_id": "73099"}, {"ref": "wittenator/plot-example", "kernel_id": "73101"}, {"ref": "thiaoqd/notebook1c00a53c89", "kernel_id": "272553"}, {"ref": "akki2825/notebooke31fef6f30", "kernel_id": "195001"}, {"ref": "pamyjeela/notebook469a5667ff", "kernel_id": "95033"}, {"ref": "ranjith9000/notebook-ac7691152b3f2f0b74b1", "kernel_id": "73524"}, {"ref": "berberhuang/notebook-e036a254fdd977256816", "kernel_id": "75929"}, {"ref": "berberhuang/digit-classfication", "kernel_id": "75930"}, {"ref": "berberhuang/notebook-ddb20a070c5c4a57cff3", "kernel_id": "76120"}, {"ref": "berberhuang/notebook-5b92d11a0146bc51f794", "kernel_id": "76131"}, {"ref": "berberhuang/notebook-54968488166b19452dee", "kernel_id": "76106"}, {"ref": "idenzo/mnist-tryout", "kernel_id": "96886"}, {"ref": "beechnutsanctions/notebook424107abf9", "kernel_id": "163831"}, {"ref": "beechnutsanctions/mnist-tensorflow", "kernel_id": "175948"}, {"ref": "sargismarkosyan/tensorflow", "kernel_id": "74809"}, {"ref": "fishface/edgedetection", "kernel_id": "84254"}, {"ref": "fishface/notebook-a17e79ad2195be342722", "kernel_id": "84288"}, {"ref": "fishface/notebook-1c286e17ede2e2bc5293", "kernel_id": "84249"}, {"ref": "fishface/dr-with-randomforest", "kernel_id": "84330"}, {"ref": "fishface/notebook-cb1be0fd8384cdd988fa", "kernel_id": "84335"}, {"ref": "fishface/notebook-b1481ed9b661f7d1ac46", "kernel_id": "84318"}, {"ref": "fishface/notebook-6c0218e212086d629d4b", "kernel_id": "84748"}, {"ref": "fishface/digit-recognition-with-eigenfaces", "kernel_id": "85761"}, {"ref": "pikabiu/notebook-8c866b38af3b66dff22a", "kernel_id": "73808"}, {"ref": "vivekanandeee/random-forest-benchmark", "kernel_id": "153153"}, {"ref": "icinnamon/mnist-scikit-learn-tutorial", "kernel_id": "117498"}, {"ref": "adiana/notebook-4adc360d16c6af6cd6cf", "kernel_id": "73927"}, {"ref": "roger24/try-001", "kernel_id": "150344"}, {"ref": "roger24/notebookf707dec61d", "kernel_id": "150324"}, {"ref": "roger24/notebookc0f074c2cb", "kernel_id": "150303"}, {"ref": "roger24/notebookfcd207b810", "kernel_id": "150284"}, {"ref": "roger24/note-try001", "kernel_id": "150391"}, {"ref": "roger24/notebookacde528bcd", "kernel_id": "149848"}, {"ref": "szgula/notebook-e9e7f41f0456e1454cb5", "kernel_id": "73932"}, {"ref": "cenbzh1/cnnnnn", "kernel_id": "74160"}, {"ref": "edisonxiao/tensorflow-deep-nn", "kernel_id": "168931"}, {"ref": "edisonxiao/first-cut", "kernel_id": "149458"}, {"ref": "iammangod96/mnist-digit-recognition-using-simple-randomforest", "kernel_id": "355049"}, {"ref": "elliotben/testkaggle", "kernel_id": "106737"}, {"ref": "glanglois/notebookf613928bfc", "kernel_id": "152132"}, {"ref": "fgrzeszc/multiclass-svm-with-artificial-training-samples", "kernel_id": "93037"}, {"ref": "fgrzeszc/knn-with-pca", "kernel_id": "93315"}, {"ref": "lavi061997/digit-recognizer", "kernel_id": "264709"}, {"ref": "fsmithus/comparison-of-common-classifiers", "kernel_id": "79091"}, {"ref": "cuizhongjiang/digit-recognizer-in-python-using-cnn", "kernel_id": "104342"}, {"ref": "angelmm/digits-mynn", "kernel_id": "94683"}, {"ref": "angelmm/digits-mynn-2layers", "kernel_id": "94728"}, {"ref": "angelmm/digits-keras", "kernel_id": "99885"}, {"ref": "saha96/tensorflow-deep-nn", "kernel_id": "111655"}, {"ref": "zgo2016/digit-recognizer-one-vs-all", "kernel_id": "99123"}, {"ref": "changyaochen/digit-recognizer-mnist", "kernel_id": "200058"}, {"ref": "eldermoha/mnist", "kernel_id": "76757"}, {"ref": "matthewlee711/tensorflow-deep-nn", "kernel_id": "74912"}, {"ref": "matthewlee711/fork-tensor-flow-nn", "kernel_id": "74913"}, {"ref": "peterfranciscook/notebookd58f1dce9d", "kernel_id": "248641"}, {"ref": "filatov/000-mnist", "kernel_id": "119963"}, {"ref": "intelxdesign/tensorflow-deep-nn", "kernel_id": "76100"}, {"ref": "tanduc96/digit-recognition-ducng", "kernel_id": "182671"}, {"ref": "xuxiangyang/notebook-83b2aba2776d154a8e5e", "kernel_id": "77435"}, {"ref": "xuxiangyang/simple-perceptron-classifier", "kernel_id": "77436"}, {"ref": "xuxiangyang/notebook-3a9cb80b81a48a758068", "kernel_id": "77437"}, {"ref": "aswanipranjal/digit-recognizer-in-python-using-cnn", "kernel_id": "138230"}, {"ref": "manujnarang/knn-from-scratch-in-python-at-97-1", "kernel_id": "105505"}, {"ref": "jasonjang/digit-rf", "kernel_id": "116590"}, {"ref": "jasonjang/digit-recognizer", "kernel_id": "116578"}, {"ref": "jasonjang/notebook-750a6ee624d997aad965", "kernel_id": "79947"}, {"ref": "hendraherviawan/logistic-regression-with-tensorflow", "kernel_id": "448277"}, {"ref": "tennissuperstar/notebook2ed168b6a9", "kernel_id": "101800"}, {"ref": "whatx4/notebook0d07968468", "kernel_id": "91005"}, {"ref": "whatx4/test-kaggle", "kernel_id": "92302"}, {"ref": "whatx4/testt", "kernel_id": "156045"}, {"ref": "lipeng/notebook-a810ba24252c15fdf015", "kernel_id": "75954"}, {"ref": "lserra/notebookb0f633f6a6", "kernel_id": "157872"}, {"ref": "nikhilpandey/notebookafed332d55", "kernel_id": "225352"}, {"ref": "gcoter/convnet-with-inception-module", "kernel_id": "97162"}, {"ref": "feshch/notebook14ed9560a1", "kernel_id": "138341"}, {"ref": "feshch/tensorflow-deep-nn", "kernel_id": "110985"}, {"ref": "crzchris/test-1", "kernel_id": "75725"}, {"ref": "alexionby/notebookf92c4744d7", "kernel_id": "233616"}, {"ref": "cherryjoyce/knn-from-scratch-in-python-at-97-1", "kernel_id": "117503"}, {"ref": "cherryjoyce/notebookea186476e8", "kernel_id": "107809"}, {"ref": "cherryjoyce/notebook846f380c53", "kernel_id": "107788"}, {"ref": "gogotutu/example-handwritten-digits", "kernel_id": "75824"}, {"ref": "gogotutu/notebook1f57dbe902", "kernel_id": "117924"}, {"ref": "gogotutu/notebook71661027c6", "kernel_id": "124556"}, {"ref": "gogotutu/notebook5da5790cd2", "kernel_id": "124557"}, {"ref": "abhmul/notebookcae68431b1", "kernel_id": "202546"}, {"ref": "darxtar/test-02", "kernel_id": "76125"}, {"ref": "darxtar/notebook-bdb858f6e525f07f5524", "kernel_id": "76126"}, {"ref": "mosewintner/intro-to-cnn-via-jumanji-p-99-4-acc-7-5min", "kernel_id": "562962"}, {"ref": "mix060514/notebook7bb3c0f8b5", "kernel_id": "202946"}, {"ref": "moon2tiga/notebookc0ff2176ca", "kernel_id": "96686"}, {"ref": "bernadsky/notebook-9993a775f03b03607a0b", "kernel_id": "76981"}, {"ref": "kptikku/notebook-f7a063dd4925ed4fde30", "kernel_id": "76260"}, {"ref": "huilongan/notebook-3f49c2b1d90b36040669", "kernel_id": "77239"}, {"ref": "akashbhatia/begining", "kernel_id": "119092"}, {"ref": "gvegayon/20160706-first-kaggle-script", "kernel_id": "76495"}, {"ref": "rajdeeps/a-simple-2-layer-neural-network-model", "kernel_id": "186169"}, {"ref": "rajdeeps/digitrecognizer", "kernel_id": "192977"}, {"ref": "cwehmeyer/notebook2092f5ed00", "kernel_id": "214393"}, {"ref": "adityaef/notebook-eafe4445ab25aba3fdb1", "kernel_id": "76653"}, {"ref": "adityaef/tensorflow-deep-nn", "kernel_id": "76654"}, {"ref": "aleksandram/notebook-dca88d58caa9d00bbb55", "kernel_id": "76647"}, {"ref": "laxypaxy/notebook02208e05fb", "kernel_id": "93812"}, {"ref": "kingarthurie/mnist-py", "kernel_id": "80332"}, {"ref": "jluther/notebook-ee750e63c8ae67c12b2c", "kernel_id": "82016"}, {"ref": "jluther/notebook-62be5bc4d80696b953f4", "kernel_id": "82017"}, {"ref": "jluther/tf-contrib-learn-dnn-mnist-fake-data", "kernel_id": "82018"}, {"ref": "jluther/mnist-convolutional-nn-using-tensorflow", "kernel_id": "85922"}, {"ref": "jluther/fork-of-mnist-convolutional-nn-using-tensorflow", "kernel_id": "85939"}, {"ref": "jluther/conv-nn-using-tensorflow", "kernel_id": "85941"}, {"ref": "jluther/98-public-test-tensorflow-with-fake-data", "kernel_id": "86079"}, {"ref": "jluther/notebookda27114c2c", "kernel_id": "87792"}, {"ref": "jluther/cnn-tf-distorted-data", "kernel_id": "87443"}, {"ref": "xealits/python3-notebook-on-digit-recognition", "kernel_id": "98511"}, {"ref": "jvdalen/notebook-dad12252a2348ee73e88", "kernel_id": "82473"}, {"ref": "jvdalen/tensorflow-deep-nn-test", "kernel_id": "82088"}, {"ref": "jvdalen/notebook-266cd295e1715fda7aad", "kernel_id": "82089"}, {"ref": "abdulmuqeet/notebook1202a0afb5", "kernel_id": "91643"}, {"ref": "abdulmuqeet/ipython-notebook", "kernel_id": "225200"}, {"ref": "abdulmuqeet/notebookbf45430127", "kernel_id": "227959"}, {"ref": "abdulmuqeet/notebookc56afb6eb5", "kernel_id": "227721"}, {"ref": "rowpri/tensorflow-deep-nn", "kernel_id": "117674"}, {"ref": "palcluster99/notebooke830086898", "kernel_id": "150806"}, {"ref": "palcluster99/notebook3368c3a3f8", "kernel_id": "141939"}, {"ref": "absurdity/digit-recognizer-r-sample", "kernel_id": "77361"}, {"ref": "sanketgujar/mnist", "kernel_id": "86946"}, {"ref": "sanketgujar/notebook5cde6fcef2", "kernel_id": "86947"}, {"ref": "grubenm/simple-perceptron-classifier", "kernel_id": "77481"}, {"ref": "grubenm/notebook-ae6dd912bcfd074fd9d0", "kernel_id": "77482"}, {"ref": "grubenm/perceptron", "kernel_id": "77483"}, {"ref": "urticazoku/tensorflow-deep-nn", "kernel_id": "93644"}, {"ref": "shuvanon/deep-cnn", "kernel_id": "110040"}, {"ref": "kyleschiller/notebook-18d9978dba91ef2daf55", "kernel_id": "77257"}, {"ref": "kyleschiller/my-first-script", "kernel_id": "77258"}, {"ref": "kyleschiller/my-second-script", "kernel_id": "77259"}, {"ref": "drburke/notebook-919efa036520ac0555b6", "kernel_id": "77275"}, {"ref": "kwcityhk/notebook33269ef282", "kernel_id": "249237"}, {"ref": "kwcityhk/deep-neural-network-keras-way", "kernel_id": "249152"}, {"ref": "kwcityhk/deep-neural-network-keras-way-3cb55f", "kernel_id": "249306"}, {"ref": "kwcityhk/deep-neural-network-keras-way-e2fde6", "kernel_id": "249516"}, {"ref": "barsbek10/notebook-cddacca58782b7ece6da", "kernel_id": "77334"}, {"ref": "barsbek10/notebook-c8d00b40985e277d1b88", "kernel_id": "77335"}, {"ref": "barsbek10/notebook-7b2d351fef7267580284", "kernel_id": "77336"}, {"ref": "barsbek10/notebook-9e2ca682bf851956852a", "kernel_id": "77411"}, {"ref": "barsbek10/notebook-1433efea5375a81d27ff", "kernel_id": "77612"}, {"ref": "barsbek10/notebook-2d596e6bd00a17b0ca34", "kernel_id": "77724"}, {"ref": "barsbek10/notebooke3c359e094", "kernel_id": "88459"}, {"ref": "luguodb/luguo", "kernel_id": "79936"}, {"ref": "cathyxuyt/notebook477bfe587b", "kernel_id": "105307"}, {"ref": "xingobar/digit-recognizer-in-python-using-cnn", "kernel_id": "98965"}, {"ref": "israelmugunga/notebook473f7be9da", "kernel_id": "96200"}, {"ref": "brookpang/notebook-eb24bfe0b642aef64414", "kernel_id": "77376"}, {"ref": "brookpang/notebook-a49531336616e10feb08", "kernel_id": "77378"}, {"ref": "brookpang/notebook-8beacc2d706364cf061f", "kernel_id": "77379"}, {"ref": "thibautf/notebook3615a839a3", "kernel_id": "237694"}, {"ref": "samithaj/notebooka9aa70c083", "kernel_id": "251499"}, {"ref": "helenho/notebook-0b893e19d540145ca8e0", "kernel_id": "77430"}, {"ref": "sharnam19/notebook5727f47830", "kernel_id": "113520"}, {"ref": "sharnam19/notebook6ddfb0d242", "kernel_id": "113572"}, {"ref": "sharnam19/notebook558874dc97", "kernel_id": "113764"}, {"ref": "sharnam19/notebook279cf2133c", "kernel_id": "113290"}, {"ref": "genieeeeeee/digit-recognizer-gradient-descent-approach", "kernel_id": "105561"}, {"ref": "continue/notebook-45e6d578231277da636b", "kernel_id": "78206"}, {"ref": "huanyan/simple-perceptron-classifier", "kernel_id": "78323"}, {"ref": "aqsmoke/notebook-214bdd9e00e45b349bbc", "kernel_id": "78006"}, {"ref": "aqsmoke/notebook-4863eb3fb44b10a3d771", "kernel_id": "77700"}, {"ref": "aqsmoke/notebook-19c21eef6cce35b4985d", "kernel_id": "77701"}, {"ref": "aqsmoke/notebook-cdbc41aacfac44496679", "kernel_id": "77702"}, {"ref": "aqsmoke/notebook-4110e7261557463a6a4d", "kernel_id": "77703"}, {"ref": "aqsmoke/notebook-9994e314300ead70cc31", "kernel_id": "77706"}, {"ref": "aqsmoke/notebook-edef7f6d8afbf8c4c286", "kernel_id": "77707"}, {"ref": "aqsmoke/tensorflow-deep-nn", "kernel_id": "77697"}, {"ref": "sourabhparime/notebook-digit-recon", "kernel_id": "78468"}, {"ref": "kaggledavid/tensorflow-deep-nn", "kernel_id": "82764"}, {"ref": "yaxianzhi/deep-neural-network-keras-way", "kernel_id": "251405"}, {"ref": "mhardin/digit-recognization-with-random-forests", "kernel_id": "82325"}, {"ref": "mhardin/notebook-5e99dd979c08dde1ed49", "kernel_id": "82320"}, {"ref": "yuanxu/tensorflow-deep-nn-46859d32", "kernel_id": "151177"}, {"ref": "yuanxu/tensorflow-deep-nn", "kernel_id": "150998"}, {"ref": "chaoji23/notebookb1477caee7", "kernel_id": "89152"}, {"ref": "yuanfei1984/notebook-aa9d126de9f46926f485", "kernel_id": "79363"}, {"ref": "yuanfei1984/random-forest-benchmark", "kernel_id": "79370"}, {"ref": "yuanfei1984/notebook-5ab9e315d95ba24a010e", "kernel_id": "79361"}, {"ref": "yuanfei1984/notebook-c73801bcc2040825f8f6", "kernel_id": "79357"}, {"ref": "yuanfei1984/notebook-5874b2afde13a59f4590", "kernel_id": "79327"}, {"ref": "yuanfei1984/test-script", "kernel_id": "79332"}, {"ref": "yuanfei1984/knn-from-scratch-in-python-at-97-1", "kernel_id": "88171"}, {"ref": "yuanfei1984/tensorflow-deep-nn", "kernel_id": "88211"}, {"ref": "sergproger/mlp-neural-network", "kernel_id": "78469"}, {"ref": "suyuti/notebookeb6660c7f9", "kernel_id": "96564"}, {"ref": "suyuti/suyuti", "kernel_id": "95008"}, {"ref": "lucyq228/notebook40837dc676", "kernel_id": "229104"}, {"ref": "stewarthr1/tensorflow-deep-nn", "kernel_id": "118275"}, {"ref": "maestrotf/deep-convolutional-network-using-keras", "kernel_id": "78575"}, {"ref": "jrsturge/notebook-efc272500625bfa238eb", "kernel_id": "80471"}, {"ref": "tsriharsha/simple-nn-to-recognize-digits", "kernel_id": "187680"}, {"ref": "tsriharsha/simple-nn-to-recognize-digits-76f438", "kernel_id": "188368"}, {"ref": "csbao7/digit-recognizer-in-python-using-cnn", "kernel_id": "89930"}, {"ref": "rahenri/tensorflow-deep-nn", "kernel_id": "95333"}, {"ref": "smilewx/notebook-5fef8a9aea4fcf1b55fb", "kernel_id": "78878"}, {"ref": "jaikhanna/notebookb0b6bee67f", "kernel_id": "236567"}, {"ref": "omorhefere1/tensorflow-deep-nn", "kernel_id": "96901"}, {"ref": "trojan00/notebook-5da4a945e5931a8ae2b0", "kernel_id": "81524"}, {"ref": "rubenpieters/notebook-1d1a2d35c1d87a45d8e5", "kernel_id": "80884"}, {"ref": "rubenpieters/notebook-d1ba332c418ee9b341e0", "kernel_id": "80885"}, {"ref": "rubenpieters/notebook-c5643b8704c51aefe59e", "kernel_id": "80892"}, {"ref": "rubenpieters/digit-recognizer-test-script", "kernel_id": "80894"}, {"ref": "rubenpieters/tensorflow-deep-nn", "kernel_id": "80879"}, {"ref": "rubenpieters/notebook-4e0c99e9793bac40f0a8", "kernel_id": "80880"}, {"ref": "vishalwa/ram123", "kernel_id": "80701"}, {"ref": "welyjs/notebookb5261c4ddb", "kernel_id": "86071"}, {"ref": "welyjs/digit-classifier-cnn", "kernel_id": "86072"}, {"ref": "welyjs/digit-classifier-improve-cnn", "kernel_id": "86074"}, {"ref": "xixiusa/knn-from-scratch-in-python-at-97-1", "kernel_id": "101719"}, {"ref": "xixiusa/t-sne", "kernel_id": "101522"}, {"ref": "eltonlaw/tensorflow-deep-nn", "kernel_id": "88375"}, {"ref": "sanzee/simple-nn-for-digit-recognizer-using-tflearn", "kernel_id": "243928"}, {"ref": "sanzee/convolutional-neural-network", "kernel_id": "243945"}, {"ref": "sanzee/with-3-layer-convolution", "kernel_id": "245773"}, {"ref": "thiruvengadamkalai/notebook638109edee", "kernel_id": "113834"}, {"ref": "vermashresth/digrecogniser", "kernel_id": "236218"}, {"ref": "vermashresth/kerasdf", "kernel_id": "239908"}, {"ref": "liutengjun/notebook-aa14104f5d3bec12cedf", "kernel_id": "79611"}, {"ref": "liutengjun/notebook-8e2469e82c03a136293b", "kernel_id": "79612"}, {"ref": "liutengjun/tensorflow-deep-nn", "kernel_id": "79603"}, {"ref": "liutengjun/notebook-a5682cb321aee7ba92a6", "kernel_id": "79604"}, {"ref": "a275909044/notebookca99884f74", "kernel_id": "96433"}, {"ref": "guoliangwang/pca-plus-rf-guoliang", "kernel_id": "88207"}, {"ref": "sunnyrain/tensorflow-deep-nn-3f7149c4", "kernel_id": "94952"}, {"ref": "sunnyrain/tensorflow-deep-nn", "kernel_id": "94266"}, {"ref": "sunnyrain/notebook62b47f47c1", "kernel_id": "99882"}, {"ref": "atitan/notebook-f7d00276eacd8deaffb8", "kernel_id": "81158"}, {"ref": "atitan/notebook-657dcdc4daccbc8efc72", "kernel_id": "80184"}, {"ref": "gzgzgz/recognition101-test", "kernel_id": "91715"}, {"ref": "gzgzgz/recognition-with-image-preprocessing", "kernel_id": "91815"}, {"ref": "skywoods2001/notebook1eb03c181e", "kernel_id": "166586"}, {"ref": "alexanderstadnikov/digitrecognizer", "kernel_id": "80585"}, {"ref": "statsnotmagic/fork-of-notebook8df064da16", "kernel_id": "101876"}, {"ref": "ed5813/notebook720f69fd29", "kernel_id": "208409"}, {"ref": "ed5813/notebookb6fffb3481", "kernel_id": "214063"}, {"ref": "ed5813/notebook8bc4cb33d0", "kernel_id": "214068"}, {"ref": "sunil01/train10", "kernel_id": "108744"}, {"ref": "naouss80/keras-cnn-with-explanation", "kernel_id": "188116"}, {"ref": "denespanta/bagging-cnn-with-keras", "kernel_id": "315036"}, {"ref": "diegoalejogm/my-first-attempt", "kernel_id": "91680"}, {"ref": "narmour/image", "kernel_id": "80513"}, {"ref": "jeremykohn/mnist-notebook", "kernel_id": "84259"}, {"ref": "jeremykohn/digit-recognizer-1", "kernel_id": "84232"}, {"ref": "arathee2/random-forest-vs-xgboost-vs-deep-neural-network", "kernel_id": "261506"}, {"ref": "rezarb/digit-recognizer-in-python-using-cnn", "kernel_id": "92343"}, {"ref": "gdshen/notebookdc163636bf", "kernel_id": "89753"}, {"ref": "tomashenco/tensorflow-deep-nn", "kernel_id": "232884"}, {"ref": "xiaoranone/digit", "kernel_id": "99605"}, {"ref": "skywalkereee/notebook-2f194bd5b8e085bbd6fd", "kernel_id": "81803"}, {"ref": "skywalkereee/notebook-0f3f800caf5ef59708f4", "kernel_id": "80992"}, {"ref": "epratt8181/practice-1", "kernel_id": "92396"}, {"ref": "shashgupta/notebook-c7c58d36308436dc3c20", "kernel_id": "81495"}, {"ref": "shashgupta/notebook-887a94af752803f81d46", "kernel_id": "82625"}, {"ref": "shashgupta/notebook-6598f0133a83721310ca", "kernel_id": "82257"}, {"ref": "jlacomis/neuralnet", "kernel_id": "81268"}, {"ref": "akhilcacharya/mnist-test", "kernel_id": "81619"}, {"ref": "psofronas/notebook8b2c81ed56", "kernel_id": "158771"}, {"ref": "andrewrib/interactive-mnist-autoencoder-experiments-1", "kernel_id": "722823"}, {"ref": "mhlee4/notebookf6daecfd10", "kernel_id": "88016"}, {"ref": "shuheiktgw/notebook9eab481e2e", "kernel_id": "227015"}, {"ref": "dongwoogjeong/mymnist", "kernel_id": "106516"}, {"ref": "mrgraham/a-beginner-s-approach-to-classification", "kernel_id": "179407"}, {"ref": "padmore/hello-world", "kernel_id": "81551"}, {"ref": "complexlife/minimum-distance-classifier", "kernel_id": "187365"}, {"ref": "cantstopwontstop/fig-newtons", "kernel_id": "81600"}, {"ref": "stonedl/digits-recognize-with-samme-r", "kernel_id": "222039"}, {"ref": "heywind/sample", "kernel_id": "81874"}, {"ref": "lucacanali/notebookd4c97e7739", "kernel_id": "95976"}, {"ref": "lucacanali/notebookc114225db2", "kernel_id": "101207"}, {"ref": "ruaram/notebook6ed95bc68d", "kernel_id": "190756"}, {"ref": "ruaram/mnist-for-ml-beginners", "kernel_id": "190816"}, {"ref": "ruaram/getting-started-with-tensorflow", "kernel_id": "190684"}, {"ref": "witalik/notebook469e1c9945", "kernel_id": "109212"}, {"ref": "happyv/digit-recognizer-rf", "kernel_id": "130818"}, {"ref": "happyv/digit-recognizer-in-python-using-cnn", "kernel_id": "130964"}, {"ref": "happyv/digit-recognizer-using-cnn", "kernel_id": "130967"}, {"ref": "happyv/digit-recognizer-in-python-using-cnn-4cff41cc", "kernel_id": "132723"}, {"ref": "brodykellish/notebook4cf2b54b46", "kernel_id": "86557"}, {"ref": "alessioros/first-cnn", "kernel_id": "189621"}, {"ref": "alessioros/notebook32b880b013", "kernel_id": "94387"}, {"ref": "alessioros/try11", "kernel_id": "94388"}, {"ref": "sudipcm/notebook-28345d7839b2d4a6979c", "kernel_id": "82572"}, {"ref": "tongcx/tensorflow-deep-nn", "kernel_id": "82786"}, {"ref": "chc442/digit-recog", "kernel_id": "164092"}, {"ref": "tnhabc/tensorflow-deep-nn", "kernel_id": "86602"}, {"ref": "tnhabc/keras-cnn", "kernel_id": "97811"}, {"ref": "yorkdata/notebook5c7ddbaf22", "kernel_id": "191828"}, {"ref": "joghivan/tester", "kernel_id": "84868"}, {"ref": "joghivan/notebook-82b2f26bc76535187eb3", "kernel_id": "84870"}, {"ref": "joghivan/new-test", "kernel_id": "84871"}, {"ref": "joghivan/notebook-4dd7b4ddaa463f53d8a6", "kernel_id": "84914"}, {"ref": "joghivan/notebook-4c2552806e0a1578b313", "kernel_id": "84194"}, {"ref": "jameskaruri/notebook22e1e0a413", "kernel_id": "94914"}, {"ref": "sampath1310/convnet", "kernel_id": "202802"}, {"ref": "junjiejin/tensorflow-deep-nn-56d803ae", "kernel_id": "145485"}, {"ref": "junjiejin/tensorflow-deep-nn", "kernel_id": "144967"}, {"ref": "dingyuyang/trykanngle", "kernel_id": "95973"}, {"ref": "janivanecky/notebook-abcc7a9c4b59a7533f5c", "kernel_id": "84147"}, {"ref": "janivanecky/notebook-97bd8d739f74afe51e36", "kernel_id": "84148"}, {"ref": "janivanecky/notebook-8da9f6d70b13496c15ee", "kernel_id": "84150"}, {"ref": "shridhar1991/shridhar", "kernel_id": "85662"}, {"ref": "dongdongwang/tensorflow-deep-nn", "kernel_id": "92867"}, {"ref": "mimilucky123/digit-recognizer-knn", "kernel_id": "93205"}, {"ref": "mimilucky123/digit-recognizer", "kernel_id": "92965"}, {"ref": "mimilucky123/digit-recognizer-2", "kernel_id": "92975"}, {"ref": "seraphimor/123qwer", "kernel_id": "84447"}, {"ref": "rrkc00/notebook2b15851d8d", "kernel_id": "181836"}, {"ref": "phillipinator/notebook-3db6606d0539be6b6f00", "kernel_id": "84567"}, {"ref": "phillipinator/mnist-fcnet", "kernel_id": "84568"}, {"ref": "kohjingyu/off-the-shelf", "kernel_id": "187978"}, {"ref": "sona58/digit-recognizer-in-r", "kernel_id": "90370"}, {"ref": "emre40/notebook4c80f3b95c", "kernel_id": "216047"}, {"ref": "emre40/98-with-image-preprocessing-pca-and-svm-v2", "kernel_id": "258897"}, {"ref": "emre40/98-with-image-preprocessing-pca-and-svm", "kernel_id": "251947"}, {"ref": "emre40/test-one-hot-encoding-and-reverse-it", "kernel_id": "252250"}, {"ref": "emre40/over-98-old-school-pca-svm-from-scratch", "kernel_id": "285855"}, {"ref": "emre40/over-98-pca-svm-from-scratch", "kernel_id": "299349"}, {"ref": "hamidsardar/multiclass-svm", "kernel_id": "133064"}, {"ref": "yagiznalcakan/knn-from-scratch-in-python-at-97-1", "kernel_id": "84876"}, {"ref": "jeromeboe/keras-nn", "kernel_id": "355201"}, {"ref": "bhill13/oooonnnneee-is-the-loneliest-number", "kernel_id": "233086"}, {"ref": "banisafar/neural-network-with-kera", "kernel_id": "131575"}, {"ref": "undefdev/notebooke38e8bf76c", "kernel_id": "255558"}, {"ref": "meganyin13/logregression", "kernel_id": "89819"}, {"ref": "meganyin13/logisticregression", "kernel_id": "89817"}, {"ref": "standsure/example-handwritten-digits-zzz", "kernel_id": "108797"}, {"ref": "standsure/example-handwritten-digits-sad", "kernel_id": "108802"}, {"ref": "luizparreira/notebook229d12e629", "kernel_id": "214112"}, {"ref": "luizparreira/luizparreira", "kernel_id": "85096"}, {"ref": "luizparreira/notebook-0cc750cf43c2ac87bd03", "kernel_id": "85086"}, {"ref": "yujunnes/notebook6a745fb91d", "kernel_id": "95067"}, {"ref": "woodrow/notebook-dd45a9c83633ba4a81e4", "kernel_id": "85261"}, {"ref": "woodrow/notebook-60aee7d8b3417ea8858b", "kernel_id": "85262"}, {"ref": "woodrow/notebook-ea09cd348e76921c439e", "kernel_id": "85263"}, {"ref": "woodrow/notebook-72206586918e4db3763c", "kernel_id": "85264"}, {"ref": "barzinm/notebook-cf5bbdd413f4db9de799", "kernel_id": "85391"}, {"ref": "devwratm/copy-of-deep-neural-network-keras-way", "kernel_id": "208621"}, {"ref": "ouroboross/firsttest", "kernel_id": "85587"}, {"ref": "haiwenzhang/notebook8ef4286351", "kernel_id": "202322"}, {"ref": "statinstilettos/notebook452ce6e896", "kernel_id": "149461"}, {"ref": "statinstilettos/neural-network-approach", "kernel_id": "149463"}, {"ref": "fzhurd/digit-recognition-v2s20160902", "kernel_id": "93949"}, {"ref": "fzhurd/digit-recognization-first-version", "kernel_id": "93952"}, {"ref": "fzhurd/digit-recognition-20160903v3", "kernel_id": "94003"}, {"ref": "fzhurd/digits-recognizaiton20160903v3s2", "kernel_id": "94009"}, {"ref": "fzhurd/digit-recognize-20160909v4", "kernel_id": "95409"}, {"ref": "fzhurd/digit-recognize-20160913v4", "kernel_id": "96767"}, {"ref": "fzhurd/digit-recognizer-v5s-20161209", "kernel_id": "133444"}, {"ref": "atulshanbhag/mnist-cnn", "kernel_id": "374385"}, {"ref": "atulshanbhag/mnist-pca-svc-rbf", "kernel_id": "313830"}, {"ref": "aurora27/notebooka6701728f2", "kernel_id": "202267"}, {"ref": "nitinvijay23/naive-bayes-multinomailnb", "kernel_id": "143106"}, {"ref": "nitinvijay23/k-nearest-neighbour", "kernel_id": "143113"}, {"ref": "nitinvijay23/randomforest", "kernel_id": "143111"}, {"ref": "nitinvijay23/notebookfa86d9373f", "kernel_id": "142308"}, {"ref": "nitinvijay23/notebookf82b0bb28e", "kernel_id": "141884"}, {"ref": "txt736/step1", "kernel_id": "98915"}, {"ref": "txt736/notebookcb7076126d", "kernel_id": "98916"}, {"ref": "nandys/digit-recognizer", "kernel_id": "88168"}, {"ref": "tempflip/notebookcba2a81c36", "kernel_id": "90199"}, {"ref": "plombardi/test-pl", "kernel_id": "96409"}, {"ref": "yugal9/notebook4b8a514d8e", "kernel_id": "114231"}, {"ref": "yugal9/notebooka7897dfbd1", "kernel_id": "113542"}, {"ref": "hechenfon/keras-cnn-with-explanation", "kernel_id": "166037"}, {"ref": "pandits/tensorflow-deep-nn", "kernel_id": "89746"}, {"ref": "pandits/tensorflow-deep-nn-c2db5351", "kernel_id": "89795"}, {"ref": "pandits/tf-digitrecogniser", "kernel_id": "86936"}, {"ref": "pandits/knn-from-scratch-in-python-at-97-1", "kernel_id": "86937"}, {"ref": "magneto77/digit-recognization", "kernel_id": "153997"}, {"ref": "magneto77/digit-learning", "kernel_id": "154020"}, {"ref": "hardev/hardev-01", "kernel_id": "138947"}, {"ref": "sarahstory/predicting-handwritten-numbers", "kernel_id": "87071"}, {"ref": "ankushjain/test01-py", "kernel_id": "104771"}, {"ref": "ankushjain/test04", "kernel_id": "105034"}, {"ref": "ankushjain/test05", "kernel_id": "105048"}, {"ref": "ankushjain/tes02", "kernel_id": "104786"}, {"ref": "ankushjain/test03", "kernel_id": "104813"}, {"ref": "ankushjain/test08", "kernel_id": "105759"}, {"ref": "ankushjain/test09", "kernel_id": "105763"}, {"ref": "ankushjain/test07", "kernel_id": "105739"}, {"ref": "gaurav1207/digit", "kernel_id": "96334"}, {"ref": "gaurav1207/notebook9b1f342408", "kernel_id": "204496"}, {"ref": "shpandya/test1", "kernel_id": "134718"}, {"ref": "shpandya/first-script", "kernel_id": "147018"}, {"ref": "tttamaki/svm-and-pca-in-sklearn", "kernel_id": "87190"}, {"ref": "tttamaki/sklearn-sgd-classifier", "kernel_id": "87191"}, {"ref": "ckchng/datareading", "kernel_id": "120717"}, {"ref": "shravankumar147/digit-recognizer-in-python-using-cnn-8c106212", "kernel_id": "99402"}, {"ref": "shravankumar147/digitrecognizer", "kernel_id": "89037"}, {"ref": "shravankumar147/notebook901b176018", "kernel_id": "89038"}, {"ref": "shravankumar147/digit-recognizer-in-python-using-cnn", "kernel_id": "89198"}, {"ref": "jeepkd/notebook-digit-recognizer", "kernel_id": "113064"}, {"ref": "toygamer/notebookb555e9be05", "kernel_id": "87313"}, {"ref": "toygamer/digit-recognizer-a-novice-approach-with-svc", "kernel_id": "87750"}, {"ref": "chubarevadina/example-handwritten-digits", "kernel_id": "87505"}, {"ref": "aria313/notebook59779a474d", "kernel_id": "87635"}, {"ref": "aria313/notebook95f7ffdf89", "kernel_id": "87640"}, {"ref": "aria313/simple-perceptron-classifier", "kernel_id": "87641"}, {"ref": "zaiyong/digit-recognizer-zzy", "kernel_id": "143505"}, {"ref": "harshitjn1/knn-from-scratch-in-python-at-97-1", "kernel_id": "88212"}, {"ref": "hsiaoyetgun/logisticregression-digitrecognizer", "kernel_id": "99563"}, {"ref": "newpiegyc/mnist-simple-nn-keras", "kernel_id": "190722"}, {"ref": "yukizhou/notebook73d76477df", "kernel_id": "216485"}, {"ref": "saurabhpradhan/mnist-digit-recognizer", "kernel_id": "324519"}, {"ref": "saurabhpradhan/notebookd3fb46a45b", "kernel_id": "186091"}, {"ref": "balakesavan/notebook16e0ee96d2", "kernel_id": "98935"}, {"ref": "balakesavan/notebook802da1025b", "kernel_id": "98711"}, {"ref": "balakesavan/notebook68ffadbc91", "kernel_id": "100032"}, {"ref": "balakesavan/notebook064a313936", "kernel_id": "107120"}, {"ref": "balakesavan/mnist-digits-recognition-cnn-python-keras", "kernel_id": "107121"}, {"ref": "balakesavan/cnn-keras", "kernel_id": "107130"}, {"ref": "balakesavan/cnn-keras-3", "kernel_id": "107157"}, {"ref": "balakesavan/cnn-keras-12", "kernel_id": "107468"}, {"ref": "balakesavan/notebook9305e3e4a4", "kernel_id": "106790"}, {"ref": "balakesavan/digit-recognizer-in-python-using-cnn", "kernel_id": "104116"}, {"ref": "balakesavan/digit-recog-cnn-hyper-para-optim", "kernel_id": "304431"}, {"ref": "balakesavan/digit-recog-cnn-hyper-param-optim-1", "kernel_id": "304359"}, {"ref": "isodhius/myfirstscript", "kernel_id": "89561"}, {"ref": "isodhius/myscriptfirst1", "kernel_id": "90028"}, {"ref": "isodhius/meridoosriscript", "kernel_id": "90711"}, {"ref": "breana/notebook0c852c868d", "kernel_id": "171169"}, {"ref": "breana/notebook4676f87efc", "kernel_id": "171172"}, {"ref": "apoteneggi/prova", "kernel_id": "88348"}, {"ref": "apoteneggi/tensorflow-deep-nn", "kernel_id": "88351"}, {"ref": "ssrivastva/tensorflow-deep-nn", "kernel_id": "110896"}, {"ref": "vandermode/a-simple-2-layer-neural-network-model", "kernel_id": "175753"}, {"ref": "hajimenagata/notebook852927b281", "kernel_id": "90243"}, {"ref": "snigdhendu/tensorflow-deep-nn", "kernel_id": "108063"}, {"ref": "jinrui/notebook793c928b42", "kernel_id": "99398"}, {"ref": "jinrui/notebook6dbae34d16", "kernel_id": "95670"}, {"ref": "b2nary/notebookc144fbcc08", "kernel_id": "129819"}, {"ref": "rahulkamma/rahul14", "kernel_id": "96616"}, {"ref": "rahulkamma/knn-from-scratch-in-python-at-97-1", "kernel_id": "96618"}, {"ref": "humewang/notebook8de846d00c", "kernel_id": "123258"}, {"ref": "humewang/notebook8a642b2852", "kernel_id": "123211"}, {"ref": "robberphex/notebook63320cf899", "kernel_id": "88910"}, {"ref": "teajin/notebookb084e712d5", "kernel_id": "103530"}, {"ref": "therakist/notebook3f2115bb8a", "kernel_id": "100704"}, {"ref": "pradhanyash/notebookedcf647838", "kernel_id": "163280"}, {"ref": "pradhanyash/demo1", "kernel_id": "93847"}, {"ref": "bytekiller/fork-of-tensorflow-deep-nn", "kernel_id": "99672"}, {"ref": "bytekiller/tensorflow-deep-nn", "kernel_id": "99669"}, {"ref": "llhthinker/digit-recognizer-in-python-using-cnn", "kernel_id": "89680"}, {"ref": "llhthinker/fork-of-digit-recognizer-in-python-using-cnn", "kernel_id": "89681"}, {"ref": "llhthinker/tensorflow-deep-nn", "kernel_id": "89675"}, {"ref": "hengyliu/tensorflow-deep-nn", "kernel_id": "113200"}, {"ref": "curtista/notebook10ed2d9dbe", "kernel_id": "90836"}, {"ref": "ddzsotjan/number-recognition-nn", "kernel_id": "271360"}, {"ref": "ddzsotjan/digit-recognizer", "kernel_id": "103896"}, {"ref": "ddzsotjan/notebook240d0e5a2d", "kernel_id": "104312"}, {"ref": "namsto/digitrecognizer", "kernel_id": "91311"}, {"ref": "namsto/notebook2f8524abe7", "kernel_id": "93854"}, {"ref": "namsto/deep-convolutional-network-using-keras", "kernel_id": "93855"}, {"ref": "namsto/random-forest-of-trees-and-accuracy", "kernel_id": "92163"}, {"ref": "ziwang55/notebook55e68d2b3f", "kernel_id": "100309"}, {"ref": "ziwang55/notebookb60ab91311", "kernel_id": "99808"}, {"ref": "pkar95/basic-script", "kernel_id": "89482"}, {"ref": "dreamworld/knn-svm-adaboost-compare", "kernel_id": "218326"}, {"ref": "dreamworld/notebook6b65200fa4", "kernel_id": "89954"}, {"ref": "dreamworld/testr", "kernel_id": "89955"}, {"ref": "hsong3/tensorflow-deep-nn", "kernel_id": "91240"}, {"ref": "shojiro/my-first-script", "kernel_id": "113661"}, {"ref": "krramasw/tensorflow-deep-nn", "kernel_id": "92217"}, {"ref": "minggli2015/tensorflow-deep-nn", "kernel_id": "104652"}, {"ref": "minggli2015/notebookbba705ce5a", "kernel_id": "138766"}, {"ref": "kalyanperi/notebookc071d4b3c6", "kernel_id": "187823"}, {"ref": "fatwhale/tensorflow-deep-nn", "kernel_id": "90287"}, {"ref": "bandari/digit", "kernel_id": "92596"}, {"ref": "gabcool/test-python", "kernel_id": "92625"}, {"ref": "anishieh/example-handwritten-digits", "kernel_id": "93877"}, {"ref": "anishieh/digit-recognizer-in-python-using-cnn", "kernel_id": "93879"}, {"ref": "propk27/notebook1042781523", "kernel_id": "221196"}, {"ref": "deedidi177/digit", "kernel_id": "257798"}, {"ref": "rtromacek/pca-knn-for-digit-recognition", "kernel_id": "91176"}, {"ref": "infinitone/vector-classifier", "kernel_id": "322362"}, {"ref": "pratikgoyal8/digit-recognizer-in-python-using-cnn", "kernel_id": "152382"}, {"ref": "weitingzhang/notebook0ce16d2be0", "kernel_id": "118680"}, {"ref": "weitingzhang/test1", "kernel_id": "118681"}, {"ref": "raresbarbantan/mnist-tensorflow", "kernel_id": "165647"}, {"ref": "nlprunner/digit-recognizer-with-scikit-learn", "kernel_id": "154298"}, {"ref": "reecerobinson/notebook43d8955940", "kernel_id": "90298"}, {"ref": "juicyjc/tensorflow-deep-nn", "kernel_id": "99753"}, {"ref": "mmona1/mnist-and-softmax-regression", "kernel_id": "280206"}, {"ref": "cklwankaggle/nmist-rf", "kernel_id": "113515"}, {"ref": "cklwankaggle/notebookb4d6edc78c", "kernel_id": "113508"}, {"ref": "cklwankaggle/r-random", "kernel_id": "113509"}, {"ref": "sahildur/mnist-predicted-neural-network", "kernel_id": "96104"}, {"ref": "bhavyapopli/notebookb72b7374c5", "kernel_id": "120320"}, {"ref": "rorsas2013g/tensorflow-deep-nn", "kernel_id": "198924"}, {"ref": "knehte/abcd1", "kernel_id": "105810"}, {"ref": "anixdiot/tensorflow-deep-nn", "kernel_id": "161544"}, {"ref": "horeso/tensorflow-deep-nn", "kernel_id": "111006"}, {"ref": "sanesanyo/digit-recognition-using-svm-with-98-accuracy", "kernel_id": "890033"}, {"ref": "ndbeste/first-script-test-py", "kernel_id": "90623"}, {"ref": "kangk1/image-augmentation-with-keras-and-output-into-csv", "kernel_id": "103216"}, {"ref": "kangk1/image-augmentation-with-keras", "kernel_id": "103090"}, {"ref": "zckly133/using-keras-on-handwriting-data-98-accuracy", "kernel_id": "245079"}, {"ref": "soocoolee/testabcd", "kernel_id": "96145"}, {"ref": "soocoolee/notebook582e28de4a", "kernel_id": "96141"}, {"ref": "fvzaur/cnn-on-keras", "kernel_id": "448184"}, {"ref": "matias3/interactive-intro-to-dimensionality-reduction", "kernel_id": "169905"}, {"ref": "shahzad2016/svm-and-pca-in-sklea", "kernel_id": "98715"}, {"ref": "shahzad2016/notebook97dd394b5d", "kernel_id": "98722"}, {"ref": "shahzad2016/digits-recognition", "kernel_id": "100102"}, {"ref": "vivekyadavofficial/0-9-in-9-lines", "kernel_id": "586427"}, {"ref": "bitschift/notebook86cc2c1b65", "kernel_id": "90812"}, {"ref": "flaviut/notebooke44c0f0271", "kernel_id": "90862"}, {"ref": "alexguo/tensorflow-deep-nn-459aa917", "kernel_id": "110943"}, {"ref": "alexguo/tensorflow-deep-nn", "kernel_id": "103016"}, {"ref": "pavanj/notebookbd51496af9", "kernel_id": "195628"}, {"ref": "jiegzhan/feedforward-networks-using-tensorflow", "kernel_id": "699207"}, {"ref": "a793620101/notebook00cbee3d98", "kernel_id": "220949"}, {"ref": "ttseng5897/digirecognizer-v1", "kernel_id": "435974"}, {"ref": "tianlai/notebook399893f50f", "kernel_id": "91997"}, {"ref": "chadcrowe/mnist-tensorflow", "kernel_id": "333736"}, {"ref": "chadcrowe/python-randomforestclassifier", "kernel_id": "333764"}, {"ref": "najib90/knn-from-scratch-in-python-at-97-1", "kernel_id": "92133"}, {"ref": "mbeierling/my-first-nn-using-tensorflow", "kernel_id": "157290"}, {"ref": "mbeierling/cnn-for-mnist-classification", "kernel_id": "513895"}, {"ref": "tgatti/notebook27aa86330c", "kernel_id": "168755"}, {"ref": "billjia/notebooka0e140d17e", "kernel_id": "93639"}, {"ref": "macumtb/notebook783d50d8d6", "kernel_id": "105209"}, {"ref": "macumtb/mlp-model-for-mnist", "kernel_id": "103693"}, {"ref": "macumtb/notebook4907d51aa4", "kernel_id": "103399"}, {"ref": "macumtb/notebook28e2d69bf4", "kernel_id": "103163"}, {"ref": "kj1414/hidden", "kernel_id": "122221"}, {"ref": "praveenkvaduvur/praveen-s-digit-recognition-basic", "kernel_id": "92352"}, {"ref": "praveenkvaduvur/tensorflow-deep-nn", "kernel_id": "92325"}, {"ref": "ankeshkhemani/ankesh-test1", "kernel_id": "96050"}, {"ref": "harshulsoni/digit-recognizer-in-python-using-cnn", "kernel_id": "135210"}, {"ref": "robertopellegrini/t-sne", "kernel_id": "102693"}, {"ref": "loicge/digit-analyser", "kernel_id": "100189"}, {"ref": "volkanaltintas/digit-recognizer-in-python-using-cnn", "kernel_id": "173639"}, {"ref": "destina/digit-recognizer", "kernel_id": "93884"}, {"ref": "sophiexxx/tensorflow-deep-nn", "kernel_id": "120283"}, {"ref": "hanx17/tensorflow-deep-nn", "kernel_id": "120288"}, {"ref": "ckljohn/notebookbb8dfba734", "kernel_id": "91726"}, {"ref": "ckljohn/tensorflow-deep-nn", "kernel_id": "98090"}, {"ref": "chuxuanhou/tensorflow-deep-nn", "kernel_id": "120289"}, {"ref": "rodrigosantis/first-steps-in-eagle-digits-recognition", "kernel_id": "142866"}, {"ref": "alevin1/notebook5e67aa2d08", "kernel_id": "175587"}, {"ref": "penmily/tensorflow-deep-nn", "kernel_id": "94317"}, {"ref": "penmily/notebook203410ddd9", "kernel_id": "95431"}, {"ref": "penmily/tensorflow-deep-nn-5c89a81f", "kernel_id": "95451"}, {"ref": "binilg/tensorflow-deep-nn", "kernel_id": "101624"}, {"ref": "binilg/sklearn-ensemble-randomforestclassifier", "kernel_id": "100560"}, {"ref": "binilg/randomforest", "kernel_id": "100561"}, {"ref": "zhuflower/svm-with-pca", "kernel_id": "93843"}, {"ref": "zhuflower/abcde-zhu", "kernel_id": "93753"}, {"ref": "stayingfoolish/tensorflow-convolutional-neural-network", "kernel_id": "177652"}, {"ref": "avannaldas/knn-from-scratch-in-python-at-97-1", "kernel_id": "127666"}, {"ref": "lp3ides/mnist-cnn-with-tensorflow", "kernel_id": "817289"}, {"ref": "piyushkabra/piyush1", "kernel_id": "271210"}, {"ref": "igumnovas/testrun", "kernel_id": "92210"}, {"ref": "igumnovas/testrun3", "kernel_id": "92702"}, {"ref": "observer17/notebook8f35de9568", "kernel_id": "231349"}, {"ref": "deepak95/digit-recognition-using-tensorflow", "kernel_id": "147615"}, {"ref": "thegenuismentalist/notebook41e85d414c", "kernel_id": "227123"}, {"ref": "thegenuismentalist/first-trial-with-kaggle", "kernel_id": "230875"}, {"ref": "thegenuismentalist/test-1", "kernel_id": "230876"}, {"ref": "taibai/house-prices-advanced-regression-techniques", "kernel_id": "204315"}, {"ref": "nojvek/digit-recognizer", "kernel_id": "297257"}, {"ref": "zhangzhiqian/notebook9ffb19b8d4", "kernel_id": "92174"}, {"ref": "zhangzhiqian/mytry", "kernel_id": "95090"}, {"ref": "zhangzhiqian/notebookfd167f1b10", "kernel_id": "95348"}, {"ref": "zhangzhiqian/mytry2", "kernel_id": "95350"}, {"ref": "saurabhrathor/digit-recognizer-2", "kernel_id": "496059"}, {"ref": "pacozaa/test1fd", "kernel_id": "92958"}, {"ref": "kanchanpal/notebookcf76ee553e", "kernel_id": "99611"}, {"ref": "sylyt62/yangtian", "kernel_id": "194194"}, {"ref": "sylyt62/notebookd67e801adc", "kernel_id": "194189"}, {"ref": "ashutosh1996/notebook4e74817bb5", "kernel_id": "209001"}, {"ref": "ashutosh1996/notebookceda911fb5", "kernel_id": "215363"}, {"ref": "ashutosh1996/notebook4ad4e0beca", "kernel_id": "206284"}, {"ref": "ashutosh1996/notebookf6010a3956", "kernel_id": "206305"}, {"ref": "ashutosh1996/notebookfc89c8d8c5", "kernel_id": "206111"}, {"ref": "coderyy/test1", "kernel_id": "100346"}, {"ref": "coderyy/digit-recognizer-in-python-using-cnn", "kernel_id": "100209"}, {"ref": "larshulstaert/basic-mlp-keras", "kernel_id": "92356"}, {"ref": "lop907/notebookf5e15d8c49", "kernel_id": "196552"}, {"ref": "roymario/digit-recognizer-in-python-using-cnn", "kernel_id": "95485"}, {"ref": "rogerz/notebookbab975a59a", "kernel_id": "92440"}, {"ref": "piyushcs/mnist", "kernel_id": "92524"}, {"ref": "issatingzon/mnist-with-random-forests", "kernel_id": "345079"}, {"ref": "fighterlxd/notebook19979b8dee", "kernel_id": "96094"}, {"ref": "fighterlxd/debug-digit", "kernel_id": "96095"}, {"ref": "shivam04/mlp-digit-recognizer", "kernel_id": "293822"}, {"ref": "shivam04/rnn-digit-recognizer", "kernel_id": "300289"}, {"ref": "shivam04/rnn-digit-recognizer-implemetation", "kernel_id": "300347"}, {"ref": "haitran/digit-reg-by-python", "kernel_id": "92614"}, {"ref": "haitran/tensorflow-deep-nn", "kernel_id": "92705"}, {"ref": "reakins/notebook84c6cc3c47", "kernel_id": "93652"}, {"ref": "duxinyuhi/simple-perceptron-classifier", "kernel_id": "92929"}, {"ref": "javiervlab/learning-to-predict-the-digits", "kernel_id": "107225"}, {"ref": "onesickkent/notebook390f1d8b5a", "kernel_id": "114183"}, {"ref": "liucharles/knn-from-scratch-in-python-at-97-1-1c83dfe3", "kernel_id": "135441"}, {"ref": "liucharles/my-second-competition-of-digit-recongnizer", "kernel_id": "135458"}, {"ref": "liucharles/tensorflow-deep-nn", "kernel_id": "134156"}, {"ref": "abhiram7/tensorflow-deep-nn", "kernel_id": "102776"}, {"ref": "saracha/notebook4b9c7f4e31", "kernel_id": "93381"}, {"ref": "konnermacias/identifying-numbers-using-neural-networks", "kernel_id": "112115"}, {"ref": "brendangraham/tensorflow-deep-nn", "kernel_id": "93220"}, {"ref": "jimzenn/tensorflow-implementation", "kernel_id": "246402"}, {"ref": "maxfromkaggle/test3", "kernel_id": "210328"}, {"ref": "maxfromkaggle/test1", "kernel_id": "210262"}, {"ref": "unalman/unalman", "kernel_id": "94923"}, {"ref": "lakshaysapra/test1", "kernel_id": "116431"}, {"ref": "lakshaysapra/test2", "kernel_id": "116432"}, {"ref": "uvcelokesh/digit-recognizer-simple-random-forest", "kernel_id": "143745"}, {"ref": "tuckerdarby/digit-recognizer", "kernel_id": "93491"}, {"ref": "tuckerdarby/digitizer", "kernel_id": "93499"}, {"ref": "asiffiiqbal/tensorflow-deep-nn", "kernel_id": "233289"}, {"ref": "asiffiiqbal/first", "kernel_id": "93456"}, {"ref": "jacklinggu/mnist-cnn-play", "kernel_id": "351506"}, {"ref": "jayantyadav/tensorflow-deep-nn", "kernel_id": "218705"}, {"ref": "smallhuihui/a-beginner-s-approach-to-classification-10e775", "kernel_id": "227673"}, {"ref": "shleedynamics/notebooka34666be97", "kernel_id": "101840"}, {"ref": "j2letters/notebook7d261a97d1", "kernel_id": "114986"}, {"ref": "j2letters/sklearn-discovery", "kernel_id": "119366"}, {"ref": "gaobocn/classifymnist", "kernel_id": "93605"}, {"ref": "gaobocn/knn-from-scratch-in-python-at-97-1", "kernel_id": "93872"}, {"ref": "slickskills/svm-digits-v01", "kernel_id": "108764"}, {"ref": "slickskills/notebook55d94e3638", "kernel_id": "106038"}, {"ref": "rabierre/rabierre-test1", "kernel_id": "93661"}, {"ref": "keithselover/notebook391d8464c1", "kernel_id": "96639"}, {"ref": "ashtavakra/interactive-intro-to-dimensionality-reduction", "kernel_id": "313953"}, {"ref": "peiqunyu/notebookd31044ff8d", "kernel_id": "179175"}, {"ref": "peiqunyu/notebook5f50f6cc27", "kernel_id": "179215"}, {"ref": "meetshah1995/cnn-using-tensorflow", "kernel_id": "96273"}, {"ref": "dict89/mnist", "kernel_id": "93785"}, {"ref": "linflus/notebookebe640e324", "kernel_id": "93784"}, {"ref": "sunlung/notebook77cf266230", "kernel_id": "95936"}, {"ref": "barley99/tensorflow-deep-nn-try", "kernel_id": "95637"}, {"ref": "barley99/notebook997dfab50a", "kernel_id": "97227"}, {"ref": "barley99/notebookf5c414efc8", "kernel_id": "97244"}, {"ref": "barley99/trying-digits-b7059c2a", "kernel_id": "95208"}, {"ref": "barley99/trying-digits", "kernel_id": "95166"}, {"ref": "ethanfetaya/notebookd82ad74282", "kernel_id": "122192"}, {"ref": "track217/sklearn-pca-svm", "kernel_id": "125122"}, {"ref": "track217/xgboost-test", "kernel_id": "129238"}, {"ref": "rochachan/tensorflow-cnn-lb-0-98929", "kernel_id": "303970"}, {"ref": "rochachan/tensorflow-deep-nn", "kernel_id": "303528"}, {"ref": "jspiner/notebooke029145eb0", "kernel_id": "94588"}, {"ref": "klyn2809/tensorflow-deep-nn", "kernel_id": "140194"}, {"ref": "klyn2809/mnist-scikit-learn-tutorial", "kernel_id": "140203"}, {"ref": "klyn2809/mnist-data-analysis", "kernel_id": "140204"}, {"ref": "klyn2809/digit-recognizer-in-python-using-cnn", "kernel_id": "140197"}, {"ref": "klyn2809/knn-from-scratch-in-python-at-97-1", "kernel_id": "140199"}, {"ref": "klyn2809/random-forest-digit-classifier", "kernel_id": "140201"}, {"ref": "ingrid/tensorflow-deep-nn", "kernel_id": "103394"}, {"ref": "ingrid/knn-from-scratch-in-python-at-97-1", "kernel_id": "103665"}, {"ref": "xinyijian/notebookc73e03a60e", "kernel_id": "120377"}, {"ref": "rsmars/digitr-test", "kernel_id": "94300"}, {"ref": "vampire2016/tensorflow-deep-nn", "kernel_id": "177356"}, {"ref": "fanrenlangzi/xgboost", "kernel_id": "291012"}, {"ref": "fanrenlangzi/pca-and-svm-97-94", "kernel_id": "287171"}, {"ref": "fanrenlangzi/random-forest", "kernel_id": "287562"}, {"ref": "fanrenlangzi/otsu-pca-svm", "kernel_id": "287772"}, {"ref": "akshara1/notebook3bad36eec1", "kernel_id": "114622"}, {"ref": "bhanukiran/notebook583419d13e", "kernel_id": "94618"}, {"ref": "bhanukiran/notebook1bcded45b0", "kernel_id": "95106"}, {"ref": "thuctran/learning-test", "kernel_id": "147851"}, {"ref": "jianfa/notebook82c9f6c52c", "kernel_id": "117768"}, {"ref": "mutumajm/john-me", "kernel_id": "136800"}, {"ref": "altairpearl/tensorflow-deep-nn", "kernel_id": "107874"}, {"ref": "davidfumo/mnist-with-cnn-0-99157-score", "kernel_id": "130613"}, {"ref": "davidfumo/deep-convolutional-nn-got-98-3-score", "kernel_id": "127853"}, {"ref": "davidfumo/mnist-with-cnn-0-99157-score-8b174469", "kernel_id": "132380"}, {"ref": "wayneho/the-first-try-digit-recogniser", "kernel_id": "97142"}, {"ref": "pvilas/notebook94d2a59d9f", "kernel_id": "94933"}, {"ref": "blynks/tensorflow-deep-nn", "kernel_id": "141777"}, {"ref": "irrwitz/random-forest-classifier", "kernel_id": "226568"}, {"ref": "irrwitz/randomforest", "kernel_id": "228167"}, {"ref": "irrwitz/fork-of-random-forest-classifier", "kernel_id": "243733"}, {"ref": "cnjn22/digit-recognizer", "kernel_id": "163278"}, {"ref": "jiashenliu/notebook6a3ed2d465", "kernel_id": "244782"}, {"ref": "manishym/a-beginner-s-approach-to-classification", "kernel_id": "194987"}, {"ref": "bibikaggle/notebook7b6fc0be58", "kernel_id": "122126"}, {"ref": "rahulkgupta/convnets-using-keras-on-theano", "kernel_id": "300168"}, {"ref": "zackenton/notebookfd380f04e4", "kernel_id": "99914"}, {"ref": "johnzhao/pca-ksvm-s-kernel-vanilladot", "kernel_id": "113137"}, {"ref": "johnzhao/pca-ann", "kernel_id": "113518"}, {"ref": "msondkar/digit-recognizer-using-cnn", "kernel_id": "357504"}, {"ref": "xidorn/notebookb28f4c96b9", "kernel_id": "176128"}, {"ref": "edoarad/firsttest", "kernel_id": "100946"}, {"ref": "edoarad/notebookfabd43b495", "kernel_id": "100947"}, {"ref": "ygdrasil/notebook7792e36689", "kernel_id": "95996"}, {"ref": "zcastial/neural-network-with-kera", "kernel_id": "129782"}, {"ref": "celiacelia/notebookc85d1996d7", "kernel_id": "95727"}, {"ref": "jingxili/digit-recogniser-jessie", "kernel_id": "96192"}, {"ref": "yhyu13/random-forest-benchmark", "kernel_id": "111473"}, {"ref": "yhyu13/tensorflow-deep-nn", "kernel_id": "111469"}, {"ref": "zwblst007/notebook91395ab944", "kernel_id": "136854"}, {"ref": "zwblst007/notebook1e704ea1c9", "kernel_id": "117643"}, {"ref": "xiao22/tensorflow-deep-nn", "kernel_id": "98558"}, {"ref": "xiao22/notebooka33070ff9f", "kernel_id": "97708"}, {"ref": "xiao22/notebook50095b2146", "kernel_id": "103149"}, {"ref": "xiao22/two-layer-simple-nn-from-scratch", "kernel_id": "102979"}, {"ref": "netrajmejari/numbers", "kernel_id": "95840"}, {"ref": "sym60123/tensorflow-deep-nn", "kernel_id": "193783"}, {"ref": "sym60123/tensorflow-deep-nn-9b726d", "kernel_id": "193869"}, {"ref": "sym60123/deep-neural-network-keras-way", "kernel_id": "227119"}, {"ref": "dementia/digit-recognizing-with-magic-nns", "kernel_id": "213196"}, {"ref": "pierretisseur/test-kaggle", "kernel_id": "167049"}, {"ref": "pierretisseur/tensorflow-convolutional-neural-network", "kernel_id": "180614"}, {"ref": "lipingzhao/example-handwritten-digits-2", "kernel_id": "100002"}, {"ref": "kbrendle/notebook6077f4dc95", "kernel_id": "254058"}, {"ref": "dreamcatcher96/tensorflow-deep-nn", "kernel_id": "113579"}, {"ref": "anbansal/ankur-1", "kernel_id": "147352"}, {"ref": "anbansal/ankurbbb", "kernel_id": "147995"}, {"ref": "aayush12/notebook9702a3328b", "kernel_id": "98416"}, {"ref": "affemitwaffel/mnist-test", "kernel_id": "96292"}, {"ref": "ep1804/digit-recognizer-with-cnn", "kernel_id": "281175"}, {"ref": "tupini07/predicting-mnist-labels-with-a-cnn-in-keras", "kernel_id": "211420"}, {"ref": "userad/catboost-from-yandex-0-90714", "kernel_id": "313800"}, {"ref": "siqidai27/keras-cnn-with-explanation-607bbb", "kernel_id": "253474"}, {"ref": "rojre1979/dcn-using-keras", "kernel_id": "126730"}, {"ref": "rojre1979/tensorflow-deep-nn-9771b351", "kernel_id": "126919"}, {"ref": "rojre1979/tensorflow-deep-nn", "kernel_id": "126907"}, {"ref": "rojre1979/tensorflow-deep-nn-28b053b0", "kernel_id": "126914"}, {"ref": "rojre1979/mnist-with-cnn-0-99157-score", "kernel_id": "122184"}, {"ref": "rojre1979/fork-of-mnist-with-cnn-0-99157-score", "kernel_id": "122374"}, {"ref": "rojre1979/digit-recognizer1", "kernel_id": "122121"}, {"ref": "rojre1979/random-forest-benchmark2", "kernel_id": "122148"}, {"ref": "rojre1979/random-forest-benchmark1", "kernel_id": "116251"}, {"ref": "olj23uob/notebook14e49da333", "kernel_id": "100911"}, {"ref": "elicococoo/notebookd099302bf5", "kernel_id": "96795"}, {"ref": "elicococoo/logistic-with-polynomial-kernel-and-pca", "kernel_id": "96764"}, {"ref": "dizzy1354/notebook5f58ba1295", "kernel_id": "124771"}, {"ref": "adwasabi/notebookc0e481da34", "kernel_id": "100347"}, {"ref": "markusheinonen/testing", "kernel_id": "118165"}, {"ref": "idayeh/notebookedaa7d9236", "kernel_id": "108015"}, {"ref": "gccode/example-handwritten-digits", "kernel_id": "113223"}, {"ref": "spencerma/notebookdc44e34307", "kernel_id": "104282"}, {"ref": "apriori/notebook8c2b623152", "kernel_id": "97187"}, {"ref": "bolavs/first-test", "kernel_id": "96890"}, {"ref": "themlguy/digitclassifier", "kernel_id": "149426"}, {"ref": "djovisic/simple-mlp-in-python", "kernel_id": "123015"}, {"ref": "lizididi/notebook2dd076a75c", "kernel_id": "237876"}, {"ref": "jbcool/interactive-intro-to-dimensionality-reduction", "kernel_id": "172774"}, {"ref": "jbcool/a-beginner-s-approach-to-classification", "kernel_id": "152785"}, {"ref": "girs1232/tensorflow-deep-nn", "kernel_id": "98243"}, {"ref": "girs1232/tensorflow-deep-nn-7e22a3f2", "kernel_id": "98789"}, {"ref": "dbruning/notebook8a1d298142", "kernel_id": "97059"}, {"ref": "ymao64/a-simple-2-layer-neural-network-model", "kernel_id": "181385"}, {"ref": "muratozkan/randomguys", "kernel_id": "384752"}, {"ref": "huanqiying/knn-from-scratch-in-python-at-97-1", "kernel_id": "134127"}, {"ref": "learningx/simple-nn-to-recognize-digits", "kernel_id": "186245"}, {"ref": "learningx/first-attempt-on-digit-recognization", "kernel_id": "186214"}, {"ref": "anuragti/simple-random-forest-script", "kernel_id": "234922"}, {"ref": "laurapple/digit-recognizer", "kernel_id": "210250"}, {"ref": "laurapple/tensorflow-deep-nn", "kernel_id": "122577"}, {"ref": "shankarj67/digit-recognizer-python-random-forest", "kernel_id": "120707"}, {"ref": "ayushiitd/svm-without-whitening", "kernel_id": "123610"}, {"ref": "ayushiitd/linear-regression", "kernel_id": "105578"}, {"ref": "ayushiitd/svm-and-pca", "kernel_id": "105921"}, {"ref": "ayushiitd/newaman", "kernel_id": "107904"}, {"ref": "jdhscripts/notebook65b576e0d3", "kernel_id": "103268"}, {"ref": "jdhscripts/attention-model-for-character-recognition", "kernel_id": "275870"}, {"ref": "adithyab/tensorflow-deep-nn", "kernel_id": "104324"}, {"ref": "adithyab/tensorflow-deep-nn-571e71d1", "kernel_id": "112897"}, {"ref": "gauravjoshi1986/predict-digits-data", "kernel_id": "97859"}, {"ref": "gauravjoshi1986/explore-digits", "kernel_id": "114745"}, {"ref": "gauravjoshi1986/gradient-decent-with-tensorflow", "kernel_id": "832237"}, {"ref": "zhouchennan/digit-recognizer", "kernel_id": "101604"}, {"ref": "zhouchennan/digit-recognizer-zhou", "kernel_id": "101611"}, {"ref": "sarishtwadhwa/assignment4", "kernel_id": "122103"}, {"ref": "sarishtwadhwa/submission", "kernel_id": "108042"}, {"ref": "sarishtwadhwa/yoyoo", "kernel_id": "108262"}, {"ref": "saloni12/digit-readable", "kernel_id": "335089"}, {"ref": "jenningsmao/notebookdfb9fe72c2", "kernel_id": "226472"}, {"ref": "rainson/tensorflow-deep-nn", "kernel_id": "102615"}, {"ref": "imhimanshoe/keras-cnn", "kernel_id": "115590"}, {"ref": "sarvesh278/cnn-and-batch-normalization-in-tensorflow", "kernel_id": "214147"}, {"ref": "sarvesh278/fork-of-cnn-and-batch-normalization-in-tensorflow", "kernel_id": "229115"}, {"ref": "jack604909/notebookca6d6f0a77", "kernel_id": "122370"}, {"ref": "mattlearning/testing", "kernel_id": "98324"}, {"ref": "ruthred/digit-classifier-in-python", "kernel_id": "101680"}, {"ref": "mikhailyurasov/notebook594465e5ae", "kernel_id": "98413"}, {"ref": "zweicoder/tensorflow-deep-nn", "kernel_id": "98444"}, {"ref": "flysamc/mnist-tensorflow", "kernel_id": "192874"}, {"ref": "thembani/digit-recognizer-in-python-using-cnn", "kernel_id": "107350"}, {"ref": "supriyasuresh/easiest-digit-recogniser-using-r", "kernel_id": "116587"}, {"ref": "supriyasuresh/easiest-way-of-predicting-digits", "kernel_id": "116570"}, {"ref": "man2manno/first-script-1", "kernel_id": "108722"}, {"ref": "georgeschmitz20/kaggle-digits", "kernel_id": "101332"}, {"ref": "karanvir/script-kv", "kernel_id": "105260"}, {"ref": "sgdantas/tensorflow-deep-nn", "kernel_id": "99048"}, {"ref": "silvioraof/rotate-all-the-features", "kernel_id": "102662"}, {"ref": "rajatbhati/keras", "kernel_id": "178300"}, {"ref": "pandynator/test-pandynator", "kernel_id": "102282"}, {"ref": "santoshsood/notebookab5e7412c5", "kernel_id": "161162"}, {"ref": "mrpiru/primero", "kernel_id": "100366"}, {"ref": "mrpiru/notebookadd02714e0", "kernel_id": "100369"}, {"ref": "mrpiru/prueba", "kernel_id": "100370"}, {"ref": "frednavruzov/digit-recognizer-comparing-approaches", "kernel_id": "241432"}, {"ref": "oussama14/notebooke4104ed389", "kernel_id": "99040"}, {"ref": "akhiludathu/notebook3b1558987e", "kernel_id": "144924"}, {"ref": "akhiludathu/simple-convolutional-nueral-network-keras", "kernel_id": "152636"}, {"ref": "akhiludathu/comparing-random-forest-pca-and-knn", "kernel_id": "152668"}, {"ref": "lolachao/handwritting", "kernel_id": "99030"}, {"ref": "hiroshun/notebook2ba831a29d", "kernel_id": "257861"}, {"ref": "samhattangady/sklearn-linearregression", "kernel_id": "171839"}, {"ref": "samhattangady/trial", "kernel_id": "171880"}, {"ref": "aidano22/tensorflow-deep-nn", "kernel_id": "99274"}, {"ref": "hybrideagle/keras-cnn", "kernel_id": "521049"}, {"ref": "chudovamarina/11111", "kernel_id": "115546"}, {"ref": "progr3ss/notebook433b16a5cc", "kernel_id": "230489"}, {"ref": "vikibytes/test1", "kernel_id": "117754"}, {"ref": "thatim/digit-recognizer-in-python-using-cnn", "kernel_id": "99494"}, {"ref": "hanishan/notebookedd14af7ab", "kernel_id": "197205"}, {"ref": "sidchat04/tensorflow-deep-nn", "kernel_id": "147365"}, {"ref": "taxus13/teste", "kernel_id": "99643"}, {"ref": "taxus13/comparing-random-forest-pca-and-knn", "kernel_id": "182638"}, {"ref": "siddharth691/pca-svm-random-forest", "kernel_id": "121271"}, {"ref": "xiaomaohoujiao2/test-py", "kernel_id": "99875"}, {"ref": "frankchen0130/notebookfcadec6459", "kernel_id": "107074"}, {"ref": "frankchen0130/show-and-compair-different-models", "kernel_id": "234232"}, {"ref": "frankchen0130/different-models", "kernel_id": "234234"}, {"ref": "frankchen0130/tensorflow-deep-nn", "kernel_id": "238143"}, {"ref": "arthurtok/interactive-intro-to-dimensionality-reduction", "kernel_id": "166861"}, {"ref": "trevorwitter/notebook4457969533", "kernel_id": "367115"}, {"ref": "tianpeiwen/notebookafbf8ebf78", "kernel_id": "99927"}, {"ref": "netguyhyun/notebook45468b41e1", "kernel_id": "102606"}, {"ref": "netguyhyun/netguytest", "kernel_id": "107886"}, {"ref": "netguyhyun/test-written-digit-recog", "kernel_id": "108236"}, {"ref": "sentdex/mnist-data", "kernel_id": "99897"}, {"ref": "xljxlj/mnist", "kernel_id": "103703"}, {"ref": "xljxlj/notebook60a161c9e0", "kernel_id": "103704"}, {"ref": "winneli/notebook034f861c2b", "kernel_id": "99946"}, {"ref": "mholub/qbi2017-digit-recognizer-challange", "kernel_id": "205269"}, {"ref": "leonardocardoso/digit-recognizer-in-python-using-cnn", "kernel_id": "115304"}, {"ref": "leonardocardoso/notebook5414d7d8db", "kernel_id": "115588"}, {"ref": "alexpomads/notebook24e7578d6b", "kernel_id": "201290"}, {"ref": "alexpomads/digit-recognizer", "kernel_id": "201291"}, {"ref": "alexpomads/notebook9bdc05a305", "kernel_id": "201292"}, {"ref": "alexpomads/notebook26226bf954", "kernel_id": "201288"}, {"ref": "keshavkumar007/simple-nn-to-recognize-digits", "kernel_id": "191706"}, {"ref": "ludongxu/notebooka05d3a80eb", "kernel_id": "101563"}, {"ref": "kagmon/tensorflow-deep-nn", "kernel_id": "121390"}, {"ref": "kagmon/my-example-handwritten-digits", "kernel_id": "121434"}, {"ref": "pranavcoder/pca-knn-digit-recognition", "kernel_id": "116018"}, {"ref": "jokandre/tensorflow-deep-nn", "kernel_id": "186829"}, {"ref": "yuntdeng/170223getstart", "kernel_id": "193282"}, {"ref": "yuntdeng/interactive-intro-to-dimensionality-reduction", "kernel_id": "193368"}, {"ref": "yuntdeng/yuntao", "kernel_id": "194185"}, {"ref": "yuntdeng/yuntaofirst", "kernel_id": "194171"}, {"ref": "codmax/tensorflow-deep-nn", "kernel_id": "136710"}, {"ref": "akhand/simple-nn-to-recognize-digits", "kernel_id": "182929"}, {"ref": "ipatcheer/a-beginner-s-approach-to-classification", "kernel_id": "263992"}, {"ref": "qccccc/svm-pca-0-98229", "kernel_id": "105760"}, {"ref": "qccccc/sklearn-knn", "kernel_id": "105699"}, {"ref": "elisayao/fork-the-mnist-again", "kernel_id": "245011"}, {"ref": "elisayao/jumbalaya-mnist", "kernel_id": "245789"}, {"ref": "elisayao/fork-the-mnist", "kernel_id": "241456"}, {"ref": "djsaunde/notebook4b1396d39d", "kernel_id": "121844"}, {"ref": "djsaunde/notebook3b46d67bd3", "kernel_id": "136505"}, {"ref": "chestnut3108/mnist", "kernel_id": "188630"}, {"ref": "anktplwl91/mnist-xgboost", "kernel_id": "479775"}, {"ref": "greepex/tensorflow-deep-nn", "kernel_id": "101618"}, {"ref": "greepex/mapping-digits-with-a-t-sne-lens", "kernel_id": "101619"}, {"ref": "greepex/tensorflow-deep-nn-f2a45c9d", "kernel_id": "101871"}, {"ref": "greepex/tensorflow-deep-nn-69074790", "kernel_id": "101889"}, {"ref": "b03901067/notebook3803120139", "kernel_id": "127007"}, {"ref": "dongsky/213232323212-py", "kernel_id": "116893"}, {"ref": "dongsky/233333333-py", "kernel_id": "116869"}, {"ref": "dongsky/112jhkhkjhk-py", "kernel_id": "117150"}, {"ref": "walkerps/mnist-prediction-on-randomforest-benchmark", "kernel_id": "200405"}, {"ref": "ayaseeli/cnn-digit-recognizer", "kernel_id": "156193"}, {"ref": "bcrad22/notebooka5041c9315", "kernel_id": "149118"}, {"ref": "bcrad22/2016-10-06-bc-mnist", "kernel_id": "102602"}, {"ref": "bcrad22/2016-10-02-bc-mnist-digit-recognizer", "kernel_id": "101372"}, {"ref": "yashbhat/try01", "kernel_id": "118199"}, {"ref": "iamcodephile/notebook048709c495", "kernel_id": "217161"}, {"ref": "drstrangelover/notebookb8409a5fc9", "kernel_id": "106560"}, {"ref": "drstrangelover/tensorflow-deep-nn", "kernel_id": "112488"}, {"ref": "kharita/notebook663112b9c4", "kernel_id": "242068"}, {"ref": "naxalov/digit-recognizer-with-neural-network-pca", "kernel_id": "102523"}, {"ref": "sevendeadlysins/sklearn-mlpclassifier", "kernel_id": "101588"}, {"ref": "sevendeadlysins/knn-from-scratch-in-python-at-97-1", "kernel_id": "116512"}, {"ref": "rocket1037/simple-perceptron-classifier", "kernel_id": "108529"}, {"ref": "rocket1037/tensorflow-deep-nn", "kernel_id": "142144"}, {"ref": "maniyar2jaimin/interactive-plotly-guide-to-pca-lda-t-sne", "kernel_id": "167777"}, {"ref": "maniyar2jaimin/tensorflow-deep-nn", "kernel_id": "144052"}, {"ref": "maniyar2jaimin/digit-recognizer-in-python-using-cnn", "kernel_id": "144053"}, {"ref": "yongwei/simple-perceptron-classifier", "kernel_id": "103148"}, {"ref": "alazark/handwritten-digit-classifier", "kernel_id": "118271"}, {"ref": "chenze/notebook984777e94f", "kernel_id": "126225"}, {"ref": "shojib327/getting-started", "kernel_id": "251355"}, {"ref": "edisonma/interactive-intro-to-dimensionality-reduction", "kernel_id": "241909"}, {"ref": "shunonoda/testtest-1", "kernel_id": "103392"}, {"ref": "shunonoda/notebook9179c6f104", "kernel_id": "104675"}, {"ref": "lionalio/recognizer", "kernel_id": "109630"}, {"ref": "adderbyte/tensorflow-deep-nn-624f4016", "kernel_id": "130809"}, {"ref": "vinny2095/notebook000580c826", "kernel_id": "232501"}, {"ref": "sethp1/tensorflow-deep-nn", "kernel_id": "103049"}, {"ref": "jjarquin/mnist-team-airoa", "kernel_id": "104642"}, {"ref": "firsec/example-handwritten-digits", "kernel_id": "102125"}, {"ref": "fanghon/tensorflow-deep-nn", "kernel_id": "110221"}, {"ref": "davidhou/myscript", "kernel_id": "119684"}, {"ref": "korirsammy/notebook20ee893ed9", "kernel_id": "191277"}, {"ref": "korirsammy/notebook86bf880ad5", "kernel_id": "191599"}, {"ref": "korirsammy/mnist", "kernel_id": "191468"}, {"ref": "kevalinder/notebook71df284fb4", "kernel_id": "103554"}, {"ref": "filantroop/tensorflow-deep-nn", "kernel_id": "111853"}, {"ref": "liboan/notebook5d0852b6e6", "kernel_id": "114340"}, {"ref": "nolsigan/notebookd1bbb74c8b", "kernel_id": "105745"}, {"ref": "nolsigan/notebook986f0232bd", "kernel_id": "106145"}, {"ref": "gujiani/tensorflow-deep-nn", "kernel_id": "145815"}, {"ref": "kingson/abcd-r", "kernel_id": "179752"}, {"ref": "ankitagrawal619/digit", "kernel_id": "147237"}, {"ref": "jagadeeshsv/notebook33bd190852", "kernel_id": "112779"}, {"ref": "jagadeeshsv/testscript", "kernel_id": "112782"}, {"ref": "lizhuping/knn-from-scratch-in-python-at-97-1-d40526e8", "kernel_id": "107584"}, {"ref": "lizhuping/knn-from-scratch-in-python-at-97-1", "kernel_id": "107433"}, {"ref": "hahaforscience/digital", "kernel_id": "107604"}, {"ref": "tuxmam/keras-cnn-with-explanation", "kernel_id": "179184"}, {"ref": "richwandell/neural-network", "kernel_id": "235328"}, {"ref": "iangarland/mnist", "kernel_id": "114023"}, {"ref": "xieyufish/notebook182a65e373", "kernel_id": "230798"}, {"ref": "xieyufish/notebook61769002d7", "kernel_id": "139558"}, {"ref": "xieyufish/notebookfc3eb094fe", "kernel_id": "139572"}, {"ref": "xieyufish/notebookd050db812a", "kernel_id": "139430"}, {"ref": "xieyufish/notebook4d67654b35", "kernel_id": "225492"}, {"ref": "tiandiao123/tensorflow-deep-nn", "kernel_id": "114254"}, {"ref": "polinaps/manifold-learning-and-autoencoders", "kernel_id": "184258"}, {"ref": "hal9zillion/tensorflow-deep-nn", "kernel_id": "102992"}, {"ref": "donmoritzio/tesst", "kernel_id": "103199"}, {"ref": "sgirkin/notebook830ba93780", "kernel_id": "110283"}, {"ref": "peggyyang/notebook0c809593be", "kernel_id": "136574"}, {"ref": "mihalybaci/tensorflow-for-beginners", "kernel_id": "291439"}, {"ref": "poslegm/pca-svm-97-8-accuracy", "kernel_id": "106508"}, {"ref": "premshah/mnist-dataset-using-keras", "kernel_id": "228861"}, {"ref": "vaibhao/digit-recognition", "kernel_id": "369620"}, {"ref": "yongjin87/notebook9bd85eba66", "kernel_id": "116206"}, {"ref": "jon40084/notebookd2d84ebd57", "kernel_id": "195843"}, {"ref": "jon40084/notebook38119ef26b", "kernel_id": "195891"}, {"ref": "zfrysrylmz/manifold-learning-and-autoencoders", "kernel_id": "189606"}, {"ref": "zfrysrylmz/tensorflow-deep-nn-7432c14", "kernel_id": "161095"}, {"ref": "zfrysrylmz/tensorflow-deep-nn-19cc70e6", "kernel_id": "161495"}, {"ref": "markmac/mc-first", "kernel_id": "154759"}, {"ref": "markmac/test-nihao", "kernel_id": "155160"}, {"ref": "dd2908/benchmark-simplest-neural-network", "kernel_id": "133761"}, {"ref": "jianshefeng/notebookae54ddb4b0", "kernel_id": "118026"}, {"ref": "kira0992/fork-of-handwritten-digit-recognition-bi-capston", "kernel_id": "243576"}, {"ref": "kira0992/handwritten-digit-recognition-bi-capstone", "kernel_id": "243409"}, {"ref": "lakshmi91/notebook3566127b3e", "kernel_id": "197678"}, {"ref": "rowanbruce/keras-convolutional-neural-network", "kernel_id": "520216"}, {"ref": "diodiodada/tryfirst", "kernel_id": "104424"}, {"ref": "diodiodada/tryfirst1", "kernel_id": "104427"}, {"ref": "pierreru/notebook2c284312f1", "kernel_id": "121147"}, {"ref": "chw333/first-kaggle", "kernel_id": "104871"}, {"ref": "reyhaneh/digit-recogniser", "kernel_id": "104939"}, {"ref": "golaso101/trainer-py", "kernel_id": "104929"}, {"ref": "kottok/digit-recognizer", "kernel_id": "119943"}, {"ref": "iridescence/tensorflow-cnn-lb-0-98929", "kernel_id": "197091"}, {"ref": "christianewert/keras-cnn-inspired-by-lenet-5", "kernel_id": "120355"}, {"ref": "yszhong/randomforestclassification", "kernel_id": "192943"}, {"ref": "sushobhan04/tensorflow-deep-nn", "kernel_id": "113191"}, {"ref": "nexusdevelopment/test-try", "kernel_id": "131335"}, {"ref": "cristianpb/digits-with-ggplot2-and-random-forest", "kernel_id": "119958"}, {"ref": "vladimirbudu/digit-recognizer-in-python-using-cnn", "kernel_id": "106817"}, {"ref": "ostruk/cnn-on-digit-recognition", "kernel_id": "122201"}, {"ref": "rchitic17/digit-recognizer-with-neural-nets-using-contrib", "kernel_id": "355132"}, {"ref": "yorickyip/notebook5eb5cea72e", "kernel_id": "238201"}, {"ref": "yorickyip/digitalrecognitionbysvm", "kernel_id": "237364"}, {"ref": "adamage/tensorflow-deep-nn", "kernel_id": "190059"}, {"ref": "eswai30/knn-from-scratch-in-python-at-97-1", "kernel_id": "132659"}, {"ref": "sonjju/my-first-mnist-exploration-by-randomforest", "kernel_id": "307538"}, {"ref": "jonnyevans/multiclass-svm", "kernel_id": "107605"}, {"ref": "twicebyte/digit-recognizer-one-vs-all", "kernel_id": "113425"}, {"ref": "twicebyte/test-0-1-1", "kernel_id": "114758"}, {"ref": "mattstammers/interactive-intro-to-dimensionality-reduction", "kernel_id": "180989"}, {"ref": "ainampudiraviteja/digit-recognition", "kernel_id": "280310"}, {"ref": "luojiejian/digit-recognizer-in-python-using-cnn", "kernel_id": "140351"}, {"ref": "marcelolajr/digit-recognizer-in-python-using-cnn", "kernel_id": "107068"}, {"ref": "marcelolajr/digit-recognizer-in-python-using-cnn-f1d6c3f5", "kernel_id": "107403"}, {"ref": "marcelolajr/digit-recognizer-in-python-using-cnn-4e1471df", "kernel_id": "110922"}, {"ref": "heirenzhanshen/notebook069c40bb0c", "kernel_id": "106708"}, {"ref": "enningxie/notebookc408df2482", "kernel_id": "202664"}, {"ref": "enningxie/test1", "kernel_id": "202665"}, {"ref": "datobig/digit-recognizer", "kernel_id": "106780"}, {"ref": "datobig/digit-recognizer-using-cnn-and-dropout-by-datobig", "kernel_id": "108294"}, {"ref": "davidecremonapoli/digit-test", "kernel_id": "256930"}, {"ref": "obiwang/deep-neural-network-hengjia-wang", "kernel_id": "229258"}, {"ref": "remirajao/tensorflow-deep-nn", "kernel_id": "155716"}, {"ref": "remirajao/hello-kaggle", "kernel_id": "108697"}, {"ref": "poliveira/tensorflow-deep-nn", "kernel_id": "146192"}, {"ref": "plus7zz/notebook012abe0c93", "kernel_id": "141960"}, {"ref": "andrewszot/digit-predictor", "kernel_id": "107382"}, {"ref": "amilton/tensorflow-deep-nn", "kernel_id": "121987"}, {"ref": "gsk967/notebook34a387d789", "kernel_id": "107478"}, {"ref": "rarana/tensorflow-deep-nn-b81c37", "kernel_id": "269412"}, {"ref": "kristofersoderstrom/simplenn", "kernel_id": "727476"}, {"ref": "baoli123/notebook0b704c944c", "kernel_id": "130339"}, {"ref": "dukedu/notebook7f3a490c9d", "kernel_id": "120669"}, {"ref": "quazar/notebook90538c3f1f", "kernel_id": "115380"}, {"ref": "quazar/notebook46d2e760bb", "kernel_id": "129758"}, {"ref": "rjralgar/mnist", "kernel_id": "108520"}, {"ref": "standouting/a-beginner-s-approach-to-classification", "kernel_id": "218747"}, {"ref": "standouting/tensorflow-cnn-lb-0-98929-ad5cac", "kernel_id": "218764"}, {"ref": "standouting/tensorflow-cnn-lb-0-98929", "kernel_id": "195686"}, {"ref": "standouting/notebook47a590ff00", "kernel_id": "195688"}, {"ref": "standouting/notebookf9d6484539", "kernel_id": "195697"}, {"ref": "drgarg/keras-version", "kernel_id": "138605"}, {"ref": "zhizhuo/notebooke69a137104", "kernel_id": "171796"}, {"ref": "zhizhuo/mnist-digits-recognition-with-tensorflow-basic", "kernel_id": "171798"}, {"ref": "yixvon/notebook79c3093f5b", "kernel_id": "167404"}, {"ref": "hackershi/notebookd35d8823f1", "kernel_id": "175058"}, {"ref": "hackershi/mytst", "kernel_id": "175045"}, {"ref": "roxanecz/notebookdf948ddda0", "kernel_id": "109245"}, {"ref": "hemulin/test1", "kernel_id": "111678"}, {"ref": "hanyi1798391733/simple-perceptron-classifier", "kernel_id": "108611"}, {"ref": "shibin/mnist-tutorial", "kernel_id": "146596"}, {"ref": "shumway/digit-recognizer-using-cnn-and-tensorflow", "kernel_id": "173413"}, {"ref": "shumway/manifold-learning-and-autoencoders", "kernel_id": "179138"}, {"ref": "shumway/manifold-learning-and-autoencoders-b97d89a2", "kernel_id": "179141"}, {"ref": "mathewsavage/neural-network-approach-using-tensorflow", "kernel_id": "240617"}, {"ref": "billhally/loaddata", "kernel_id": "109265"}, {"ref": "souravroy/digit-recognition-with-keras-acc-0-98", "kernel_id": "263357"}, {"ref": "caucxing/notebook67b959e3e3", "kernel_id": "109115"}, {"ref": "neuralmax/fcmodel", "kernel_id": "372381"}, {"ref": "neuralmax/mnstwrkshp", "kernel_id": "649828"}, {"ref": "neuralmax/pydata-kaunas-digit-recognition-workshop", "kernel_id": "650085"}, {"ref": "yangxiaocs/digit-recognizer-in-python-using-cnn", "kernel_id": "200023"}, {"ref": "yangxiaocs/interactive-intro-to-dimensionality-reduction", "kernel_id": "200074"}, {"ref": "jdrobles/notebook33a15b2cb1", "kernel_id": "224018"}, {"ref": "niucheng1991/tensorflow-deep-nn", "kernel_id": "114814"}, {"ref": "tracy4kaggle/notebook6510bd40c2", "kernel_id": "208035"}, {"ref": "garnetreds7/svc-simple", "kernel_id": "114226"}, {"ref": "garnetreds7/xgbclassifier", "kernel_id": "113975"}, {"ref": "garnetreds7/nn-digit", "kernel_id": "115086"}, {"ref": "davidprakash/minimum-distance-classifier", "kernel_id": "170516"}, {"ref": "davidprakash/minimum-distance-classifier-enhanced", "kernel_id": "170517"}, {"ref": "davidprakash/notebookc1afc299a3", "kernel_id": "171806"}, {"ref": "davidprakash/simplifying-the-data-by-binarizing-the-values", "kernel_id": "171898"}, {"ref": "davidprakash/h2o-s-deep-learning-algorithm-two-layer-nn", "kernel_id": "173468"}, {"ref": "davidprakash/nn-kernel-2", "kernel_id": "201367"}, {"ref": "davidprakash/tensor-flow", "kernel_id": "196632"}, {"ref": "hctsaie/notebookd2a832018b", "kernel_id": "231130"}, {"ref": "sarimsiddiqui/deep-convolutional-network-using-keras", "kernel_id": "123733"}, {"ref": "norconkm/notebookd91105f4e0", "kernel_id": "109377"}, {"ref": "chetankp/notebook6ef5cccd43", "kernel_id": "121982"}, {"ref": "wandeli/test11111", "kernel_id": "109449"}, {"ref": "autred/notebook2b6c86b1c4", "kernel_id": "167851"}, {"ref": "samuelkelada/test-num-ro-1", "kernel_id": "109564"}, {"ref": "pandaczm/notebook9561447b03", "kernel_id": "121193"}, {"ref": "erikxiang/notebook66f5fff030", "kernel_id": "154122"}, {"ref": "romanroibu/digits", "kernel_id": "133256"}, {"ref": "romanroibu/random-forest-digit-classifier", "kernel_id": "134341"}, {"ref": "jetieve/issou", "kernel_id": "109722"}, {"ref": "wenchenkof2001/notebookc6a81c96d9", "kernel_id": "116993"}, {"ref": "timho0110/notebookb58fb66af6", "kernel_id": "115094"}, {"ref": "frwjxwx/svm-pca", "kernel_id": "113730"}, {"ref": "mentorliu/notebookf9a533dc66", "kernel_id": "118126"}, {"ref": "flyingfire/tesorflow", "kernel_id": "179861"}, {"ref": "yuepeng/cnn-tensorflow-for-digit-recognizer", "kernel_id": "495018"}, {"ref": "shanech/score-0-99017-using-lenet-model", "kernel_id": "443100"}, {"ref": "yuanchima/digit-recognition", "kernel_id": "110678"}, {"ref": "hyungsuk/corea", "kernel_id": "110689"}, {"ref": "sethuiyer/self-normalizing-networks", "kernel_id": "283928"}, {"ref": "justuser/mnist-with-pytorch-fully-connected-network", "kernel_id": "853358"}, {"ref": "murgev/tensorflow-deep-nn-22186adc", "kernel_id": "144768"}, {"ref": "murgev/tensorflow-deep-nn", "kernel_id": "133164"}, {"ref": "murgev/knn-from-scratch-in-python-at-97-1", "kernel_id": "110910"}, {"ref": "rodrigosalles/keras-colaboratory-my-step-by-step", "kernel_id": "687842"}, {"ref": "oldriver/notebookd2d3236c5a", "kernel_id": "112147"}, {"ref": "seaneuron/notebookbe0ab3ac69", "kernel_id": "116366"}, {"ref": "zhouangjun/keras-cnn-with-explanation", "kernel_id": "189695"}, {"ref": "atiedag/tensorflow-deep-nn", "kernel_id": "180107"}, {"ref": "smr4849/notebook249681f715", "kernel_id": "267044"}, {"ref": "llchen/notebooka84617b5a1", "kernel_id": "240093"}, {"ref": "brentfagan/keras-cnn-with-explanation", "kernel_id": "190064"}, {"ref": "brentfagan/two-convolutions-cnn-for-digit-recoginission", "kernel_id": "190057"}, {"ref": "cbolinger/test1", "kernel_id": "111284"}, {"ref": "tannercarbonati/simple-convolutional-neural-network-keras", "kernel_id": "151185"}, {"ref": "tingwang01/notebook58e90b5771", "kernel_id": "217884"}, {"ref": "tlzhatao/notebook0920d0d0a6", "kernel_id": "112070"}, {"ref": "tlzhatao/notebooke5549ca954", "kernel_id": "112524"}, {"ref": "kingag/notebooke1dfa5f4a1", "kernel_id": "113404"}, {"ref": "sslkaggle/digit-recognizer-in-python-using-cnn", "kernel_id": "116418"}, {"ref": "sslkaggle/digit-recognizer-with-sci-kit-learn-mlp-classifier", "kernel_id": "116980"}, {"ref": "sslkaggle/digit-recognizer-mnist", "kernel_id": "116951"}, {"ref": "ratefu/notebooka31afcdfcf", "kernel_id": "169272"}, {"ref": "pjmcintyre/digit-recogniser-using-random-forest-64-8", "kernel_id": "301185"}, {"ref": "xianfengma/notebook83c1a3be93", "kernel_id": "118179"}, {"ref": "xianfengma/notebook66aa804646", "kernel_id": "118152"}, {"ref": "xianfengma/digit-recognition-by-svm", "kernel_id": "118174"}, {"ref": "rsa0123/test1", "kernel_id": "136229"}, {"ref": "rsa0123/notebookea7a6e451d", "kernel_id": "136232"}, {"ref": "rsa0123/test4", "kernel_id": "136239"}, {"ref": "rsa0123/notebook3566e41975", "kernel_id": "135726"}, {"ref": "rsa0123/misnt-numbers", "kernel_id": "135696"}, {"ref": "oukaishen/notebook36b2b36994", "kernel_id": "111630"}, {"ref": "runwitheez/digit-recognition-nnet", "kernel_id": "129396"}, {"ref": "runwitheez/digit-recognition", "kernel_id": "128848"}, {"ref": "mysshaz/tensorflow-deep-nn", "kernel_id": "120988"}, {"ref": "hzhu007/tensorflow-deep-nn-2007c3b7", "kernel_id": "120574"}, {"ref": "hzhu007/tensorflow-deep-nn-8e65dccc", "kernel_id": "118481"}, {"ref": "hzhu007/tensorflow-deep-nn-14dd5a58", "kernel_id": "118401"}, {"ref": "hzhu007/tensorflow-deep-nn", "kernel_id": "118083"}, {"ref": "songyl1991/notebook4dc90a3c46", "kernel_id": "169084"}, {"ref": "songyl1991/my-first-run", "kernel_id": "169088"}, {"ref": "alluxia/tf-learn-approach-for-digit-recognition", "kernel_id": "325783"}, {"ref": "alluxia/a-simple-tensorflow-convnet-approach", "kernel_id": "340134"}, {"ref": "wjsutton/digit-recognition-in-r", "kernel_id": "999346"}, {"ref": "silvertess/digitreco", "kernel_id": "142237"}, {"ref": "gergeux/tensorflow-deep-nn", "kernel_id": "124257"}, {"ref": "shuai2/kaggle1", "kernel_id": "114243"}, {"ref": "shuai2/kernels", "kernel_id": "114066"}, {"ref": "shuai2/notebook52ec0a9ae1", "kernel_id": "114053"}, {"ref": "shuai2/inroad", "kernel_id": "114056"}, {"ref": "jj11teen/test01", "kernel_id": "112344"}, {"ref": "ghdeng/notebook971064919c", "kernel_id": "139048"}, {"ref": "chundiliu/tensorflow-deep-nn", "kernel_id": "112679"}, {"ref": "asmith370/writing", "kernel_id": "112717"}, {"ref": "zzdu2013/notebook120acb413f", "kernel_id": "121813"}, {"ref": "xushengwei/simple-deep-mlp-with-keras1", "kernel_id": "117585"}, {"ref": "xushengwei/notebookacc3f3b9b8", "kernel_id": "117646"}, {"ref": "romanov6416/notebook1c0d68335b", "kernel_id": "142763"}, {"ref": "ishyworr/notebookbf57e3e18b", "kernel_id": "119917"}, {"ref": "oalopez/temp-firse", "kernel_id": "113088"}, {"ref": "arthurherbout/simple-nn-to-recognize-digits", "kernel_id": "187190"}, {"ref": "arthurherbout/neural-network-for-digit-recognizer", "kernel_id": "186191"}, {"ref": "arthurherbout/first-neural-network-for-digit-recognition", "kernel_id": "186194"}, {"ref": "arthurherbout/notebookf13c4ee581", "kernel_id": "213386"}, {"ref": "arthurherbout/neural-network", "kernel_id": "213387"}, {"ref": "arthurherbout/notebook3208227eff", "kernel_id": "213389"}, {"ref": "mrazzano/notebook182e935ab8", "kernel_id": "167196"}, {"ref": "darguelles/mnist-with-tensorflow", "kernel_id": "188037"}, {"ref": "princewang1994/neural-network-with-kera", "kernel_id": "144140"}, {"ref": "princewang1994/lenet-cnn", "kernel_id": "144118"}, {"ref": "dstraat/notebook4737dbd28a", "kernel_id": "221074"}, {"ref": "dstraat/cnn-with-keras-and-augmented-images", "kernel_id": "221075"}, {"ref": "ramonchen/notebookf01a542931", "kernel_id": "115732"}, {"ref": "yj7082126/tensorflow-deep-nn", "kernel_id": "148922"}, {"ref": "yj7082126/tensorflow-deep-nn-83ff5038", "kernel_id": "154362"}, {"ref": "vvinuv/digitrecoginizerneighbourrandomforest", "kernel_id": "358334"}, {"ref": "victorarkley/tensorflow-deep-nn", "kernel_id": "230222"}, {"ref": "rubab54504/notebookc5ad289c8b", "kernel_id": "120112"}, {"ref": "pruthviuvss/notebookd05047d8f7", "kernel_id": "258078"}, {"ref": "hanhsienhuang/notebookbe6ba2ad36", "kernel_id": "248017"}, {"ref": "hanhsienhuang/feedforward-neural-network", "kernel_id": "260911"}, {"ref": "nicort/notebook44fbe6f2f2", "kernel_id": "173048"}, {"ref": "nicort/tensorflow-deep-nn", "kernel_id": "114711"}, {"ref": "nicort/tensorflow-deep-nn-a2cdc876", "kernel_id": "115890"}, {"ref": "nicort/image-augmentation-with-keras-and-output-into-csv", "kernel_id": "116568"}, {"ref": "te87037/test5", "kernel_id": "117391"}, {"ref": "te87037/pca-rf", "kernel_id": "217294"}, {"ref": "te87037/trying-out-svm", "kernel_id": "151221"}, {"ref": "te87037/randonforest", "kernel_id": "162165"}, {"ref": "te87037/notebookf5cfdda326", "kernel_id": "271826"}, {"ref": "zhenhao/a-beginner-s-approach-to-classification", "kernel_id": "130126"}, {"ref": "zhenhao/notebook2608eddb9e", "kernel_id": "130129"}, {"ref": "zhenhao/digit-recognize-notebook", "kernel_id": "130094"}, {"ref": "zhenhao/notebook1c0a586544", "kernel_id": "130038"}, {"ref": "zhenhao/test-py", "kernel_id": "130040"}, {"ref": "manzilmalla/deep-convolutional-network-using-keras", "kernel_id": "125100"}, {"ref": "thefallentree/tensorflow-deep-nn", "kernel_id": "118902"}, {"ref": "nttrungmt/interactive-intro-to-dimensionality-reduction", "kernel_id": "195396"}, {"ref": "adamzurada/tensorflow-deep-nn", "kernel_id": "117701"}, {"ref": "byteme/digit-recognizer-in-python-using-cnn", "kernel_id": "227975"}, {"ref": "raphkas/t-sne", "kernel_id": "129362"}, {"ref": "dmitriic/notebook6f4c745f40", "kernel_id": "116342"}, {"ref": "nikitavemuri/notebook7d9998497d", "kernel_id": "145777"}, {"ref": "yoonjungaa/notebookf3a26b6d87", "kernel_id": "115489"}, {"ref": "yoonjungaa/notebook7530452d39", "kernel_id": "115511"}, {"ref": "rojarmoore/notebooka9b5fa9121", "kernel_id": "277505"}, {"ref": "pristavskiy/keras-cnn-with-explanation", "kernel_id": "134301"}, {"ref": "ashvinisharma/script", "kernel_id": "115938"}, {"ref": "ashvinisharma/myfile", "kernel_id": "116011"}, {"ref": "integjs/deep-learning-with-tensorflow", "kernel_id": "373948"}, {"ref": "joaoparana/digit-recognizer-in-python-using-cnn", "kernel_id": "115972"}, {"ref": "nubatama/notebook07fe8dbaa7", "kernel_id": "195553"}, {"ref": "alexschwantes/tensorflow-deep-nn", "kernel_id": "116061"}, {"ref": "darrellulm/digit-recognizer-test-run", "kernel_id": "210946"}, {"ref": "darrellulm/neural-network-approach-test-run", "kernel_id": "242455"}, {"ref": "randomtypos/digit-recognizer-in-python-using-cnn-6cf7923a", "kernel_id": "140354"}, {"ref": "akruger/a-beginner-s-approach-to-classification", "kernel_id": "214925"}, {"ref": "biancawang/notebookcffd65d57d", "kernel_id": "119984"}, {"ref": "danielmachado86/prueba-1", "kernel_id": "133355"}, {"ref": "burhankhan/neural-network", "kernel_id": "455337"}, {"ref": "tchiappisi/digit-recognizer-with-scikit-learn-9129e7f9", "kernel_id": "156871"}, {"ref": "tchiappisi/notebook73018f1d63", "kernel_id": "156677"}, {"ref": "tchiappisi/digit-recognizer-with-scikit-learn", "kernel_id": "156692"}, {"ref": "chungyehwang/digit-recognizer-in-python-using-cnn", "kernel_id": "146303"}, {"ref": "chungyehwang/digit-recognizer-using-cnn", "kernel_id": "147137"}, {"ref": "toshiakitoyama/keras-cnn-with-99-accuracy-v2", "kernel_id": "246667"}, {"ref": "toshiakitoyama/notebook7f814d52c2", "kernel_id": "246021"}, {"ref": "zhuoliliang/kaggledigitrecognizer", "kernel_id": "148565"}, {"ref": "aowal095/interactive-intro-to-dimensionality-reduction", "kernel_id": "203848"}, {"ref": "pandaqc/mlp-with-sickitlearn", "kernel_id": "294685"}, {"ref": "mkinsey/pca-test", "kernel_id": "121856"}, {"ref": "jetrobert/mnist-deep-learning-with-tensorflow-cnn", "kernel_id": "269452"}, {"ref": "tjbaur/simple-k-nearest-neighbors", "kernel_id": "245608"}, {"ref": "daniel036/digit-recognizer-in-python-using-cnn", "kernel_id": "252790"}, {"ref": "daniel036/digit-recognizer-in-python-using-cnn-7c27fc", "kernel_id": "252838"}, {"ref": "huiyingjiang/cnn-for-beginners-accuracy-around-98", "kernel_id": "136649"}, {"ref": "jackylao116/mnist-data-analysis", "kernel_id": "123796"}, {"ref": "aerknife/default", "kernel_id": "117769"}, {"ref": "aerknife/default5", "kernel_id": "117770"}, {"ref": "monkeydth/digit-recognizer-in-python-using-cnn", "kernel_id": "129372"}, {"ref": "monkeydth/digit-recognizer-in-python-using-cnn-cabc8ccd", "kernel_id": "129377"}, {"ref": "monkeydth/digit-recognizer-in-python-using-cnn-465f5fd0", "kernel_id": "129418"}, {"ref": "monkeydth/digit-recognizer-in-python-using-cnn-f3403076", "kernel_id": "129419"}, {"ref": "monkeydth/digit-recognizer-in-python-using-cnn-7b088f77", "kernel_id": "129421"}, {"ref": "monkeydth/digit-recognizer-in-python-using-cnn-8858f6a7", "kernel_id": "129426"}, {"ref": "monkeydth/digit-recognizer-in-python-using-cnn-34133568", "kernel_id": "129427"}, {"ref": "monkeydth/digit-recognizer-using-cnn", "kernel_id": "129428"}, {"ref": "monkeydth/notebook619306a0c6", "kernel_id": "131840"}, {"ref": "jelenas/test1", "kernel_id": "164469"}, {"ref": "teknozulu/mnist", "kernel_id": "141737"}, {"ref": "jbridge/notebook8a19299262", "kernel_id": "231702"}, {"ref": "jbridge/notebook53b260f69b", "kernel_id": "231714"}, {"ref": "jbridge/notebookd3e1e5c60e", "kernel_id": "234746"}, {"ref": "jbridge/r-rf-test", "kernel_id": "233431"}, {"ref": "jbridge/notebookf80b4a2e17", "kernel_id": "233382"}, {"ref": "clarkchong/fan-fei-s-grocery-understanding-mean-baseline", "kernel_id": "256299"}, {"ref": "hockeybro12/notebook166f30ebcb", "kernel_id": "164498"}, {"ref": "hockeybro12/digitrecognizer", "kernel_id": "164508"}, {"ref": "archaeocharlie/a-beginner-s-approach-to-classification", "kernel_id": "123426"}, {"ref": "westiger/keras", "kernel_id": "315594"}, {"ref": "westiger/pca-lda-t-sne", "kernel_id": "315682"}, {"ref": "westiger/sklearn-svm", "kernel_id": "315469"}, {"ref": "kaandemirel/digitrecognizeriron", "kernel_id": "143129"}, {"ref": "juna88/notebookacb496c1f0", "kernel_id": "118140"}, {"ref": "juna88/digit-recognizer-in-python-using-cnn", "kernel_id": "118159"}, {"ref": "singhamit2/digit-recognizer-prediction-using-randomfo", "kernel_id": "219692"}, {"ref": "noudald/test-kaggle-mnist", "kernel_id": "118295"}, {"ref": "noudald/small-test-with-mnist", "kernel_id": "200597"}, {"ref": "davidretana/keras-cnn", "kernel_id": "541479"}, {"ref": "cwd251/interactive-intro-to-dimensionality-reducti-ea6cc9", "kernel_id": "188997"}, {"ref": "cwd251/interactive-intro-to-dimensionality-reduction", "kernel_id": "188970"}, {"ref": "pilar92/digit-recognizer", "kernel_id": "146522"}, {"ref": "peaceplusone/tensorflow-deep-nn-53e69546", "kernel_id": "150523"}, {"ref": "chenwanqq/script1", "kernel_id": "119606"}, {"ref": "alvarego/tensorflow-tries", "kernel_id": "208157"}, {"ref": "alvarego/checking-greyscale-to-black-white-numbers", "kernel_id": "201914"}, {"ref": "maejor/digit-recognizer-python-random-forest", "kernel_id": "122051"}, {"ref": "cogsys/notebook94d7c0361a", "kernel_id": "118850"}, {"ref": "tariq1981/notebookfadac8e51b", "kernel_id": "249884"}, {"ref": "tariq1981/notebook99030e4d13", "kernel_id": "251970"}, {"ref": "jason123733/notebookaeefaa32a7", "kernel_id": "121917"}, {"ref": "sgmaldonado/stephs-code-test", "kernel_id": "138714"}, {"ref": "joemcdoe/notebook04c6f40066", "kernel_id": "271290"}, {"ref": "jerryhsieh/test1234", "kernel_id": "194613"}, {"ref": "florandomforest/premier-cnn", "kernel_id": "123416"}, {"ref": "jclaycsuf/asdfdd", "kernel_id": "119532"}, {"ref": "einsteinisiaq/mnist", "kernel_id": "227232"}, {"ref": "zainzin/conv-with-keras", "kernel_id": "213195"}, {"ref": "networkcai/linear-svc", "kernel_id": "176155"}, {"ref": "kumarnith03/digit-recognizer-in-python-using-cnn", "kernel_id": "165363"}, {"ref": "kumarnith03/tensorflow-deep-nn", "kernel_id": "165365"}, {"ref": "rybinlee/notebookc903b6760e", "kernel_id": "120680"}, {"ref": "rybinlee/knn-digited", "kernel_id": "120678"}, {"ref": "core66/notebookeaedb96ba7", "kernel_id": "135770"}, {"ref": "zhangxzx/tensorflow-cnn-lb-0-98929", "kernel_id": "192778"}, {"ref": "zhangxzx/pca-and-svm-on-mnist-dataset", "kernel_id": "192780"}, {"ref": "zhangxzx/pca-svm-in-r-0-9827", "kernel_id": "192782"}, {"ref": "zhangxzx/comparing-random-forest-pca-and-knn", "kernel_id": "192769"}, {"ref": "zhenghongyou/notebook5579d39a61", "kernel_id": "120211"}, {"ref": "fominss/notebookce153d6d25", "kernel_id": "153646"}, {"ref": "fominss/notebookfce7afbb32", "kernel_id": "153647"}, {"ref": "fominss/average-digit", "kernel_id": "153649"}, {"ref": "fominss/notebookdaae6d5739", "kernel_id": "153586"}, {"ref": "johnsonzyx/tensorflow-deep-nn", "kernel_id": "141086"}, {"ref": "kmmaller/notebookeb513ffd03", "kernel_id": "178942"}, {"ref": "kmmaller/notebook9c133b51cd", "kernel_id": "180093"}, {"ref": "kmmaller/notebook311d9f3395", "kernel_id": "180096"}, {"ref": "markwh1te/interactive-intro-to-dimensionality-reduction", "kernel_id": "186822"}, {"ref": "cloudly/interactive-intro-to-dimensionality-reduction", "kernel_id": "260529"}, {"ref": "obbkaggle/notebookfc72dad327", "kernel_id": "136935"}, {"ref": "obbkaggle/mnist-with-cnn-0-99157-score", "kernel_id": "120880"}, {"ref": "yaroshevskiy/digit-recognition-random-forest", "kernel_id": "152414"}, {"ref": "yaroshevskiy/digit-recognition-pca-svc", "kernel_id": "152399"}, {"ref": "willer/deep-neural-network-keras-way", "kernel_id": "233642"}, {"ref": "cjknobla/r-attempt-1", "kernel_id": "146029"}, {"ref": "zwangs/notebook4e9f6975af", "kernel_id": "230131"}, {"ref": "mnorrie/tensorflow-deep-nn", "kernel_id": "123051"}, {"ref": "barbaracoleman/bcoleman", "kernel_id": "122229"}, {"ref": "mireiaconsarnau/notebook9d79af1c35", "kernel_id": "161484"}, {"ref": "mireiaconsarnau/notebookc789ed336b", "kernel_id": "161418"}, {"ref": "romina72/simple-neural-net-for-digits", "kernel_id": "250069"}, {"ref": "garrettcreasy/notebooka0f04ea89b", "kernel_id": "209352"}, {"ref": "permanentfoot2/basic", "kernel_id": "122564"}, {"ref": "sippakorn/tensorflow-deep-nn", "kernel_id": "126322"}, {"ref": "nishantjain91/notebook967c62b4e0", "kernel_id": "203769"}, {"ref": "drsoller/digit-recognizer-in-python-using-cnn", "kernel_id": "122712"}, {"ref": "bruceokallau/simple-knn-model-93-accurate", "kernel_id": "383936"}, {"ref": "trevornyman/trevor-digrec-script", "kernel_id": "158271"}, {"ref": "aaronzhu/aa-digit-recognizer", "kernel_id": "128156"}, {"ref": "prototype96/demo1", "kernel_id": "127659"}, {"ref": "prototype96/mytest6", "kernel_id": "131086"}, {"ref": "prototype96/prototypemy8", "kernel_id": "132943"}, {"ref": "prototype96/neural-network-test", "kernel_id": "134753"}, {"ref": "prototype96/test2", "kernel_id": "136701"}, {"ref": "prototype96/testrfc", "kernel_id": "136878"}, {"ref": "kcdharma/tensorflow-deep-nn", "kernel_id": "133704"}, {"ref": "qunmeng/notebookc130bff040", "kernel_id": "192744"}, {"ref": "qunmeng/notebook9799a68c40", "kernel_id": "192750"}, {"ref": "qunmeng/digit-recognition", "kernel_id": "192756"}, {"ref": "liyi1991/notebookebb6ca1092", "kernel_id": "123502"}, {"ref": "liyi1991/notebook8aad414b36", "kernel_id": "123506"}, {"ref": "liyi1991/cnn-on-digit-recognition", "kernel_id": "123515"}, {"ref": "liyi1991/cnn-on-digit-recognition-4180d305", "kernel_id": "123567"}, {"ref": "liyi1991/fork-of-cnn-on-digit-recognition", "kernel_id": "123521"}, {"ref": "sinakhorami/digit-recognition-using-deep-learning", "kernel_id": "797209"}, {"ref": "drcoelho/notebooka90eb00e62", "kernel_id": "161731"}, {"ref": "drcoelho/very-simple-classification-tutorial-with-svc", "kernel_id": "183125"}, {"ref": "jstzhyd/cnn-on-digit-recognition-d79ad21d", "kernel_id": "124654"}, {"ref": "jstzhyd/tensorflow-deep-nn-959be037", "kernel_id": "130154"}, {"ref": "wr819697746/knn-study", "kernel_id": "131064"}, {"ref": "wr819697746/knn-from-scratch-in-python-at-97-1", "kernel_id": "126758"}, {"ref": "kkozhenov/notebook938774b0ea", "kernel_id": "243293"}, {"ref": "kkozhenov/average-digit", "kernel_id": "142442"}, {"ref": "kkozhenov/notebook3aff7aef92", "kernel_id": "123933"}, {"ref": "znielsen/image-catagorization", "kernel_id": "259920"}, {"ref": "loheek/digits", "kernel_id": "126662"}, {"ref": "zevayo/notebookd77da240d9", "kernel_id": "135010"}, {"ref": "mikolajbabiak/comparing-random-forest-pca-and-knn", "kernel_id": "172677"}, {"ref": "idtch001/test1", "kernel_id": "124206"}, {"ref": "freaksteryash/keras-cnn-with-explanation", "kernel_id": "136687"}, {"ref": "btlk48/densemnist", "kernel_id": "318714"}, {"ref": "ashteotia/digit-recognizer-model", "kernel_id": "962522"}, {"ref": "xiaopingchen/tensorflow-deep-nn", "kernel_id": "124652"}, {"ref": "shsnail/cnn-on-digit-recognition", "kernel_id": "124806"}, {"ref": "shsnail/mnist-with-cnn-0-99157-score", "kernel_id": "124810"}, {"ref": "shsnail/cnn-on-digit-recognition-cc8e9f5b", "kernel_id": "124812"}, {"ref": "shsnail/cnn-on-digit-recognition-b4274626", "kernel_id": "124813"}, {"ref": "shsnail/cnn-on-digit-recognition-5f9a016c", "kernel_id": "127247"}, {"ref": "xiaonimo/tensorflow-deep-nn", "kernel_id": "136882"}, {"ref": "goldobin/notebook38e9b8ca82", "kernel_id": "165087"}, {"ref": "mmfkit/mlp-playground", "kernel_id": "257748"}, {"ref": "gbarbaro/test-images", "kernel_id": "125014"}, {"ref": "yimingf/deep-convolutional-network-using-keras", "kernel_id": "145612"}, {"ref": "replicat/notebooke0b3e1db40", "kernel_id": "170906"}, {"ref": "replicat/testing", "kernel_id": "170907"}, {"ref": "tianji/tensorflow-deep-nn-digit-recognizer", "kernel_id": "138912"}, {"ref": "ugoood/691466", "kernel_id": "129005"}, {"ref": "poke36879/appelmoes", "kernel_id": "125219"}, {"ref": "yangchun00/simple-perceptron-classifier", "kernel_id": "183451"}, {"ref": "seiger/notebookfe05f98a98", "kernel_id": "208743"}, {"ref": "xukangde/notebook714716b148", "kernel_id": "125291"}, {"ref": "xukangde/digit-recognizer-kaggle-script", "kernel_id": "130824"}, {"ref": "xukangde/notebook9c548cf6d5", "kernel_id": "130840"}, {"ref": "vaijeyanthi/random-forest-benchmark", "kernel_id": "125292"}, {"ref": "rshaydu/a-beginner-s-approach-to-classification", "kernel_id": "211686"}, {"ref": "utkarshdeep/let-me-identify-you", "kernel_id": "700027"}, {"ref": "roguerui/ssl-dm", "kernel_id": "245538"}, {"ref": "paulhendi/digit-recognizer-first-try", "kernel_id": "524093"}, {"ref": "clemlaflemme/pca-and-randomforest-for-digit-recognition", "kernel_id": "132889"}, {"ref": "s55082/notebookbfb2157fed", "kernel_id": "184095"}, {"ref": "aaeyup/digit-recognizer", "kernel_id": "145358"}, {"ref": "forsakenrei/tensorflow-deep-nn", "kernel_id": "161200"}, {"ref": "venky18m/digit-recognizer-in-python-using-cnn", "kernel_id": "171158"}, {"ref": "getshao/testtest", "kernel_id": "128069"}, {"ref": "llplay/tensorflow-deep-nn", "kernel_id": "130965"}, {"ref": "ieee8023/digit-recognizer-in-python-using-cnn", "kernel_id": "129728"}, {"ref": "tempuser1/hello-world", "kernel_id": "128871"}, {"ref": "lilamar/comparing-random-forest-pca-and-knn", "kernel_id": "156520"}, {"ref": "ahahaha/tensorflow-deep-nn-original", "kernel_id": "196816"}, {"ref": "ahahaha/tensorflow-deep-nn", "kernel_id": "185980"}, {"ref": "aadibhumihar/notebook38078974a9", "kernel_id": "170468"}, {"ref": "samnight/tensorflowtest-py", "kernel_id": "131835"}, {"ref": "jasonw2104/digit-recognizer-in-python-using-cnn", "kernel_id": "167596"}, {"ref": "a798253982/digit-recognizer-with-keras", "kernel_id": "278822"}, {"ref": "b2nice/tensorflow-deep-nn-71dbc3b8", "kernel_id": "131255"}, {"ref": "b2nice/tensorflow-deep-nn-860572f1", "kernel_id": "131207"}, {"ref": "jiaruoran/tensorflow-deep-nn", "kernel_id": "130278"}, {"ref": "jiaruoran/tensorflow-deep-nn-c2180af5", "kernel_id": "130279"}, {"ref": "jiaruoran/tensorflow-deep-nn-f714099d", "kernel_id": "130280"}, {"ref": "gopietz/handwriting-0-1", "kernel_id": "135853"}, {"ref": "genuchi/a-beginner-s-approach-to-classification-e1cf57", "kernel_id": "266587"}, {"ref": "dishajindal/linear-svc", "kernel_id": "153934"}, {"ref": "dishajindal/svc-rbf-pca", "kernel_id": "157562"}, {"ref": "nyutopia/comparing-random-forest-pca-and-knn", "kernel_id": "140960"}, {"ref": "nyutopia/notebook1c7045d9f4", "kernel_id": "138206"}, {"ref": "bohdanzhylavksyi/notebookfc9b97619a", "kernel_id": "131361"}, {"ref": "bohdanzhylavksyi/new123", "kernel_id": "131356"}, {"ref": "bohdanzhylavksyi/recog", "kernel_id": "131344"}, {"ref": "toshiakiuno/notebook45db65d077", "kernel_id": "133611"}, {"ref": "zhylavskyibohdan/dasdas", "kernel_id": "131414"}, {"ref": "manukag/keras-cnn-with-explanation", "kernel_id": "138108"}, {"ref": "haichenliu/notebookb8cdc9bacf", "kernel_id": "246695"}, {"ref": "haichenliu/notebook8185611d22", "kernel_id": "246555"}, {"ref": "akhil4711/notebook813ca3223b", "kernel_id": "280475"}, {"ref": "akhil4711/notebook41d0b9b8a2", "kernel_id": "279788"}, {"ref": "gunjan17/recognize-with-logistic-regression", "kernel_id": "277580"}, {"ref": "gunjan17/reconize-with-svc", "kernel_id": "278478"}, {"ref": "gunjan17/reconize-with-knn", "kernel_id": "278474"}, {"ref": "dbrooks39/minimum-distance-classifier", "kernel_id": "190148"}, {"ref": "kwea123/notebook31c9caa2ed", "kernel_id": "132438"}, {"ref": "kwea123/tensorflow-deep-nn", "kernel_id": "133160"}, {"ref": "blueclay/first-kernel-entry", "kernel_id": "238574"}, {"ref": "blueclay/visualize-errors-by-activation-maps", "kernel_id": "324428"}, {"ref": "clempear/tensorflow-deep-nn", "kernel_id": "166567"}, {"ref": "urwamuaz/random-forest-benchmark", "kernel_id": "222624"}, {"ref": "urwamuaz/digit-recognizer2", "kernel_id": "222687"}, {"ref": "urwamuaz/test1", "kernel_id": "222691"}, {"ref": "danjordan/tidy-random-forest-with-ranger", "kernel_id": "141448"}, {"ref": "vishwa88/fork-of-tensorflow-cnn", "kernel_id": "179991"}, {"ref": "vishwa88/tensorflonn-forked-from-flaport", "kernel_id": "180728"}, {"ref": "vishwa88/tensorflow-cnn", "kernel_id": "178058"}, {"ref": "vishwa88/example-handwritten-digits", "kernel_id": "133099"}, {"ref": "vishwa88/notebook150e039bb2", "kernel_id": "133518"}, {"ref": "zhangjpn/edition1", "kernel_id": "148106"}, {"ref": "fossika/tensorflow-deep-nn", "kernel_id": "133498"}, {"ref": "fossika/tensorflow-deep-nn-e98f60e1", "kernel_id": "133500"}, {"ref": "fossika/tensorflow-deep-nn-e9154317", "kernel_id": "133503"}, {"ref": "fossika/tensorflow-deep-nn-292ef5c6", "kernel_id": "137148"}, {"ref": "gauravjumde26/notebook1aa95c5cc9", "kernel_id": "244532"}, {"ref": "sichuanfju/tensorflow-deep-nn", "kernel_id": "167685"}, {"ref": "stahamtan/digit-recognizer-systematic-model-improvement", "kernel_id": "650000"}, {"ref": "skytown123/notebook8b731d9b46", "kernel_id": "145088"}, {"ref": "ewiwi79/digit-recognizer-in-python-using-cnn", "kernel_id": "220264"}, {"ref": "youhailag/test01", "kernel_id": "135067"}, {"ref": "suntester/notebook70bcba2756", "kernel_id": "136587"}, {"ref": "rimpaljain/rimpaljain", "kernel_id": "134913"}, {"ref": "zkppv6/digit-recognizer", "kernel_id": "275710"}, {"ref": "zeddus/pixel-mean-and-variances-by-digit", "kernel_id": "150025"}, {"ref": "marionm/notebookfe36a7c674", "kernel_id": "228793"}, {"ref": "mmxhm94/notebook0b34da0762", "kernel_id": "209552"}, {"ref": "rdinya/a-beginner-s-approach-to-classification", "kernel_id": "163421"}, {"ref": "jaromiru/keras-cnn-dropout-augmentation-30-min-99-4", "kernel_id": "139210"}, {"ref": "jaromiru/notebook7d11548bf8", "kernel_id": "139199"}, {"ref": "jaromiru/keras-cnn-bn", "kernel_id": "163546"}, {"ref": "drpdforshaw/myfirstscript", "kernel_id": "135788"}, {"ref": "siriuscorp/notebook5ca2a8bf78", "kernel_id": "262243"}, {"ref": "jurijsteblaj/digit-recognition-using-keras", "kernel_id": "175238"}, {"ref": "sshallwey/tensorflow-deep-nn", "kernel_id": "136729"}, {"ref": "sshallwey/comparing-random-forest-pca-and-knn", "kernel_id": "147415"}, {"ref": "sshallwey/comparing-random-forest-pca-and-knn-59d30446", "kernel_id": "147417"}, {"ref": "volody/modified-tensorflow-mnist-sample", "kernel_id": "171003"}, {"ref": "viv696/notebooke6e2ac42ab", "kernel_id": "269822"}, {"ref": "tqhhfch/notebook7367930a1c", "kernel_id": "148018"}, {"ref": "adityaecdrid/mnist-with-keras-for-beginners-99457", "kernel_id": "231224"}, {"ref": "rakeshinnitk/notebook3f10b2a323", "kernel_id": "136720"}, {"ref": "himinchol8949/digit-recognizer-in-python-using-cnn", "kernel_id": "137597"}, {"ref": "chrystian9/tensorflow-deep-nn", "kernel_id": "136809"}, {"ref": "chrystian9/tensorflow-deep-nn-d6962289", "kernel_id": "136813"}, {"ref": "fadhli/recognizing-digit", "kernel_id": "492412"}, {"ref": "lv0123456/notebook1e66902772", "kernel_id": "232078"}, {"ref": "lv0123456/digits-svm-classifier", "kernel_id": "232081"}, {"ref": "telemaque/digits-classification-with-a-convnet-keras-tf", "kernel_id": "201937"}, {"ref": "chiszy/first-blood", "kernel_id": "260449"}, {"ref": "vijaynv/digit-recognizer-in-python-using-cnn", "kernel_id": "157297"}, {"ref": "ashish21/multinomial-logit-with-gradient-descent", "kernel_id": "174137"}, {"ref": "lbdcdb/notebook18c38a5b0d", "kernel_id": "146221"}, {"ref": "jason3/tensorflow-deep-nn-fc5dbf5c", "kernel_id": "160311"}, {"ref": "jason3/tensorflow-deep-nn", "kernel_id": "159664"}, {"ref": "danielll/notebooke3730e4a4b", "kernel_id": "200343"}, {"ref": "danielll/hello", "kernel_id": "200346"}, {"ref": "iapetus/example-handwritten-digits", "kernel_id": "137828"}, {"ref": "akshayrajdhamija/notebook24383aa2b5", "kernel_id": "266735"}, {"ref": "upashu/aaaaaa", "kernel_id": "138227"}, {"ref": "xuxiaoyu/interactive-intro-to-dimensionality-reduction", "kernel_id": "187009"}, {"ref": "fragout/notebook516b5b7a3b", "kernel_id": "139051"}, {"ref": "brudder/keras-cnn-with-explanation", "kernel_id": "138504"}, {"ref": "fedda1993/digit-dataset", "kernel_id": "240198"}, {"ref": "puremath86/tensorflow-deep-nn", "kernel_id": "151282"}, {"ref": "andreisavin/notebook24bde419b7", "kernel_id": "139878"}, {"ref": "shumink/notebook9cf0cdb0e1", "kernel_id": "219449"}, {"ref": "shulin/notebook51e1694e7d", "kernel_id": "176582"}, {"ref": "mkstar/helloworld", "kernel_id": "138916"}, {"ref": "usatie/digit-recognizer", "kernel_id": "191463"}, {"ref": "usatie/pca-and-svc", "kernel_id": "191821"}, {"ref": "usatie/pca-and-svm", "kernel_id": "191651"}, {"ref": "imrishabhgupta/notebook4bc34a8881", "kernel_id": "219113"}, {"ref": "hbracho/notebook65ea5adae0", "kernel_id": "170583"}, {"ref": "remibaar/digit-recognition-multilayer-neural-network", "kernel_id": "139265"}, {"ref": "noahsan/digit-recognizer-in-python-using-cnn", "kernel_id": "140022"}, {"ref": "chunfuyeh/neural-network-with-tensorflow", "kernel_id": "225547"}, {"ref": "vinayshanbhag/keras-cnn-optimization", "kernel_id": "396447"}, {"ref": "suhassherkar/deep-convolutional-network-using-keras", "kernel_id": "145297"}, {"ref": "suhassherkar/digit-recog-test", "kernel_id": "145634"}, {"ref": "triers/mnist-classifier", "kernel_id": "265695"}, {"ref": "freemangh/knn-svm-adaboost", "kernel_id": "211220"}, {"ref": "freemangh/knn-svm-adaboost-compare", "kernel_id": "211234"}, {"ref": "hustry/interactive-intro-to-dimensionality-reduction", "kernel_id": "243047"}, {"ref": "batzner/quick-mnist-weights-visualizaion", "kernel_id": "723478"}, {"ref": "immanuelj/notebooka8bc1afeaa", "kernel_id": "242034"}, {"ref": "jmgg88/digit-recognition", "kernel_id": "148344"}, {"ref": "quoniammm/notebook5c87b322bd", "kernel_id": "262534"}, {"ref": "gwujeff/digit-recognizer-version-1-1", "kernel_id": "290679"}, {"ref": "gwujeff/notebook1dbe9796b7", "kernel_id": "290421"}, {"ref": "tt1103/notebookc38704add7", "kernel_id": "146878"}, {"ref": "plum356/notebooka819191095", "kernel_id": "209448"}, {"ref": "plum356/notebook427cc843b7", "kernel_id": "209446"}, {"ref": "andyhu/a-beginner-s-approach-to-classification", "kernel_id": "210449"}, {"ref": "andyhu/notebook6367d52bde", "kernel_id": "210439"}, {"ref": "artxon/arrtx13", "kernel_id": "158123"}, {"ref": "michealyou/tensorflow-deep-nn", "kernel_id": "145084"}, {"ref": "chenhui/digit-recognizer-in-python-using-cnn", "kernel_id": "142605"}, {"ref": "sie16jj/gffdgdfsgsdfgdfsfgsdfgdfgdgdfd", "kernel_id": "154060"}, {"ref": "mathdieckman/tensorflow-deep-nn", "kernel_id": "178281"}, {"ref": "thepandas/fork-of-a-beginner-s-approach-to-classification", "kernel_id": "666059"}, {"ref": "olgabelitskaya/digit-recognition-models-1", "kernel_id": "594296"}, {"ref": "olgabelitskaya/digit-recognition-models-3", "kernel_id": "597948"}, {"ref": "olgabelitskaya/image-generator-2", "kernel_id": "528562"}, {"ref": "olgabelitskaya/image-generator-4", "kernel_id": "537182"}, {"ref": "olgabelitskaya/image-generator", "kernel_id": "383202"}, {"ref": "olgabelitskaya/digit-recognition-models-2", "kernel_id": "269323"}, {"ref": "shifu2778/notebook4d34e4c069", "kernel_id": "246056"}, {"ref": "shifu2778/notebookb8ec496263", "kernel_id": "246058"}, {"ref": "xiaoguo/notebook91161174de", "kernel_id": "270200"}, {"ref": "xiaoguo/digitstarter", "kernel_id": "270274"}, {"ref": "alexalexi/notebookc3999390cf", "kernel_id": "198266"}, {"ref": "alpena/notebook6bc990ea0f", "kernel_id": "159966"}, {"ref": "alpena/simple-random-forest", "kernel_id": "160465"}, {"ref": "hanyundo/simple-convolutional-nueral-network-keras", "kernel_id": "159743"}, {"ref": "kolszer/notebook0f144ae9ca", "kernel_id": "144836"}, {"ref": "prabhath144111/notebook96557c1193", "kernel_id": "144002"}, {"ref": "ahmedu2/digital-numerical-recognizer-intro-script", "kernel_id": "150873"}, {"ref": "mw12636/number-recognition", "kernel_id": "143956"}, {"ref": "bitzxcwc/notebook468d6bcf06", "kernel_id": "221889"}, {"ref": "bitzxcwc/notebook6f88ef9db9", "kernel_id": "221543"}, {"ref": "bitzxcwc/notebook69ba92163e", "kernel_id": "221551"}, {"ref": "vigneshj6/notebook589cc088da", "kernel_id": "188229"}, {"ref": "vigneshj6/notebook96feabe0f6", "kernel_id": "244646"}, {"ref": "daiearth22/tensorflow-deep-nn-bdb386", "kernel_id": "336571"}, {"ref": "daiearth22/tensorflow-deep-nn", "kernel_id": "336500"}, {"ref": "daiearth22/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "405689"}, {"ref": "gavinxgcao/knn-test", "kernel_id": "199343"}, {"ref": "guocheng/tensorflow-deep-nn-beb8fa6a", "kernel_id": "155356"}, {"ref": "chengmaoyu/chengmaoyu", "kernel_id": "150665"}, {"ref": "thabet/tensorflow-deep-nn", "kernel_id": "149480"}, {"ref": "thabet/simple-convolutional-nueral-network-keras", "kernel_id": "151569"}, {"ref": "rogrezende/digit-recognizer-random-forest", "kernel_id": "272811"}, {"ref": "guandong/test1", "kernel_id": "145712"}, {"ref": "akshay10/digit-recognition-with-tensorflow", "kernel_id": "213919"}, {"ref": "louisly/notebookc80f48b92a", "kernel_id": "148746"}, {"ref": "newriverchan/keras-cnn-with-explanation", "kernel_id": "194972"}, {"ref": "newriverchan/mnist-with-cnn-0-99157-score-fec0a7", "kernel_id": "185114"}, {"ref": "newriverchan/simple-convolutional-nueral-network-keras", "kernel_id": "152177"}, {"ref": "mashmn/notebook24b03ed708", "kernel_id": "216752"}, {"ref": "agnieszka1010/quick-look-at-the-digits-data", "kernel_id": "173203"}, {"ref": "alvasilvao/asilvao1", "kernel_id": "155514"}, {"ref": "alvasilvao/tensorflow-deep-nn", "kernel_id": "156391"}, {"ref": "ashay9/number-recognition", "kernel_id": "153315"}, {"ref": "daochen/tensorflow-deep-nn", "kernel_id": "191961"}, {"ref": "teddian/tensorflow-deep-nn", "kernel_id": "154701"}, {"ref": "shreyasri/mnist-with-cnn-0-99157-score", "kernel_id": "148407"}, {"ref": "ksanjay77/digital-recognizer", "kernel_id": "235161"}, {"ref": "jjz921024/notebook266c01e477", "kernel_id": "161411"}, {"ref": "zhangruiskyline/tensorflow-deep-nn", "kernel_id": "148682"}, {"ref": "luwenlong321/notebook8708ca8a08", "kernel_id": "202642"}, {"ref": "mjandy1126/digit-recognizer-in-python-using-cnn", "kernel_id": "147283"}, {"ref": "mjandy1126/digit-recognizer-in-python-using-cnn-37531b9d", "kernel_id": "147403"}, {"ref": "pratap001/example-handwritten-digits", "kernel_id": "158628"}, {"ref": "tyouyu/notebook27f8cfdceb", "kernel_id": "222435"}, {"ref": "freya1934/tensorflow-deep-nn", "kernel_id": "149215"}, {"ref": "adisaputra7/recognition", "kernel_id": "219137"}, {"ref": "adisaputra7/notebook11f4b96d39", "kernel_id": "219138"}, {"ref": "thisray/tensorflow-deep-nn", "kernel_id": "158874"}, {"ref": "leilayounesi/notebookecfcb28b88", "kernel_id": "148148"}, {"ref": "nvsabhilash/shallow-nn-classification-on-mnist-data", "kernel_id": "597278"}, {"ref": "nvsabhilash/classification-using-deep-nn-on-mnist-data", "kernel_id": "603520"}, {"ref": "nvsabhilash/keras-vgg-like-architecture-on-mnist-0-98471", "kernel_id": "987347"}, {"ref": "dexterfichuk/mnist-python", "kernel_id": "256481"}, {"ref": "lkhamsurenl/notebooke1dad1d94a", "kernel_id": "148970"}, {"ref": "lkhamsurenl/mnist", "kernel_id": "148908"}, {"ref": "lkhamsurenl/notebookf3e344fbde", "kernel_id": "148641"}, {"ref": "sooraj2189/notebook663893b3b2", "kernel_id": "200175"}, {"ref": "chintansheth/notebook4df17c0d1e", "kernel_id": "172382"}, {"ref": "liujilong/dnn-for-digit-recognizer", "kernel_id": "218118"}, {"ref": "liujilong/notebook48411cd682", "kernel_id": "217543"}, {"ref": "liujilong/user-sklearn-svm", "kernel_id": "217519"}, {"ref": "liujilong/notebookcc66769e58", "kernel_id": "242093"}, {"ref": "sridharls/digit-recognizer-h2o", "kernel_id": "807090"}, {"ref": "ambrwn/notebookcb86aa072a", "kernel_id": "149415"}, {"ref": "ambrwn/dgsvm", "kernel_id": "149416"}, {"ref": "sreelekshmyselvin/notebookf942317286", "kernel_id": "200172"}, {"ref": "sreelekshmyselvin/main-project-train", "kernel_id": "202784"}, {"ref": "sreelekshmyselvin/main-project-train1", "kernel_id": "202861"}, {"ref": "sreelekshmyselvin/notebook643b11def2", "kernel_id": "202821"}, {"ref": "changseoklee/notebook92b58faf97", "kernel_id": "154806"}, {"ref": "garimabhayana/random-forest-benchmark", "kernel_id": "165637"}, {"ref": "sahilfomoro/notebook1958e1cb47", "kernel_id": "150054"}, {"ref": "sahilfomoro/notebooke522415c60", "kernel_id": "150211"}, {"ref": "jwilson/digit-recognizer-with-scikit-learn", "kernel_id": "156618"}, {"ref": "honeybird/a-beginner-s-approach-to-classification", "kernel_id": "217115"}, {"ref": "galitnadler/notebook44fc2362bd", "kernel_id": "249417"}, {"ref": "taylorfarrar/notebook181f730ef6", "kernel_id": "150689"}, {"ref": "rodrigosantiss/exhaustive-search-pca-and-knn-pipeline", "kernel_id": "229562"}, {"ref": "rodrigosantiss/grid-search-pca-knn", "kernel_id": "229521"}, {"ref": "ilknuricke/fork-of-tensorflow-deep-nn", "kernel_id": "150957"}, {"ref": "ilknuricke/conv-net-on-only-2-features", "kernel_id": "151938"}, {"ref": "ilknuricke/tensorflow-deep-nn", "kernel_id": "150864"}, {"ref": "ananthreddy/mnist-with-cnn-s", "kernel_id": "718150"}, {"ref": "brentdimmig/digit-recognizer", "kernel_id": "151135"}, {"ref": "itsskyler/test1", "kernel_id": "151285"}, {"ref": "ecnuykh/digit-recognizer-in-python-using-cnn", "kernel_id": "173338"}, {"ref": "angelyu/notebook3823966329", "kernel_id": "152405"}, {"ref": "thebluesky/testing", "kernel_id": "151478"}, {"ref": "thebluesky/testing2", "kernel_id": "151488"}, {"ref": "thebluesky/testing3", "kernel_id": "151520"}, {"ref": "ankitsenghani/digit-recogniser", "kernel_id": "217540"}, {"ref": "ankitsenghani/digit-recognizer-by-ankit", "kernel_id": "224828"}, {"ref": "ankitsenghani/notebook8bcb29a9ce", "kernel_id": "231532"}, {"ref": "cseszo/testes", "kernel_id": "152588"}, {"ref": "rosettast/notebookd571120663", "kernel_id": "230595"}, {"ref": "rosettast/notebook99709d0045", "kernel_id": "268786"}, {"ref": "rosettast/notebookb5e2e4ddce", "kernel_id": "258783"}, {"ref": "miguelangelnieto/tflearn-neural-network-for-mnist", "kernel_id": "182625"}, {"ref": "klclone/notebookb23446ef3a", "kernel_id": "157524"}, {"ref": "thirupathipattipaka/tensorflow-deep-nn", "kernel_id": "151779"}, {"ref": "jacklongking/conv-net-on-only-2-features", "kernel_id": "154636"}, {"ref": "dmikrav/tensorflow-cnn", "kernel_id": "274276"}, {"ref": "tai001/digit-recognizer", "kernel_id": "177000"}, {"ref": "tai001/digit-rocognizer", "kernel_id": "177036"}, {"ref": "blgnksy/notebook88133f75ff", "kernel_id": "208065"}, {"ref": "ekethio/digit-recognition", "kernel_id": "209464"}, {"ref": "deercall/test01", "kernel_id": "153214"}, {"ref": "naivecharles/digit-recognizer-in-python-using-cnn", "kernel_id": "165192"}, {"ref": "sssaini/notebookfe30b4ccc0", "kernel_id": "226970"}, {"ref": "dadler6/driver-py", "kernel_id": "153672"}, {"ref": "dadler6/notebook6caaa5a9ff", "kernel_id": "153673"}, {"ref": "tsubuo/keras-cnn-with-explanation", "kernel_id": "165135"}, {"ref": "anuragw/interactive-intro-to-dimensionality-reduction", "kernel_id": "175732"}, {"ref": "malekbadreddine/tensorflow-convnet-lenet-5", "kernel_id": "258855"}, {"ref": "nimz911/digit-recognizer-cnn", "kernel_id": "847055"}, {"ref": "csvreel/notebooked742044ed", "kernel_id": "200705"}, {"ref": "harribo/digit-recognizer-in-python-using-cnn", "kernel_id": "155008"}, {"ref": "markdingee/digit-recognizer-with-scikit-learn", "kernel_id": "156709"}, {"ref": "habilebadger/notebook3f0cee4703", "kernel_id": "252844"}, {"ref": "rshorty30/from-scratch-mnist", "kernel_id": "423398"}, {"ref": "takagialan/testing", "kernel_id": "183154"}, {"ref": "takagialan/notebook27640751df", "kernel_id": "183146"}, {"ref": "wklwkl/digitrecognize", "kernel_id": "154831"}, {"ref": "stephanieblubaugh/digit-recognizer-with-scikit-learn", "kernel_id": "156682"}, {"ref": "maheshsk/tensorflow-deep-nn", "kernel_id": "174128"}, {"ref": "marktmw/digit-recognizer-with-scikit-learn", "kernel_id": "156658"}, {"ref": "dbertram/digit-recognizer-with-scikit-learn", "kernel_id": "156625"}, {"ref": "kalawww/notebook75341b6332", "kernel_id": "170720"}, {"ref": "ashutosh1/digit-recognizer-with-scikit-learn-ffcd1195", "kernel_id": "156704"}, {"ref": "ashutosh1/digit-recognizer-with-scikit-learn", "kernel_id": "156666"}, {"ref": "ellenrushe/untitled", "kernel_id": "161594"}, {"ref": "ellenrushe/notebook22259dd3ff", "kernel_id": "156316"}, {"ref": "ellenrushe/notebookb3c6eb7bc9", "kernel_id": "156319"}, {"ref": "no1coolguy/digit-recognizer-with-scikit-learn", "kernel_id": "156675"}, {"ref": "thrombo/digit-recognizer-with-scikit-learn", "kernel_id": "156613"}, {"ref": "davidwegscheid/digit-recognizer-with-scikit-learn", "kernel_id": "156610"}, {"ref": "shepmaster/digit-recognizer-with-scikit-learn", "kernel_id": "156640"}, {"ref": "lillywhite/digit-recognizer-with-scikit-learn", "kernel_id": "156642"}, {"ref": "mrit1979/digit-recognizer-with-scikit-learn", "kernel_id": "156627"}, {"ref": "timbergman/digit-recognizer-with-scikit-learn", "kernel_id": "156607"}, {"ref": "muvaulter16/digit-recognizer-with-scikit-learn", "kernel_id": "156635"}, {"ref": "brummy/notebookc05692e841", "kernel_id": "156678"}, {"ref": "brummy/digit-recognizer-with-scikit-learn", "kernel_id": "156688"}, {"ref": "taichi53719/notebook437554a0ba", "kernel_id": "242609"}, {"ref": "krobertson91/digit-recognizer-with-scikit-learn-86e5e0a9", "kernel_id": "156798"}, {"ref": "krobertson91/digit-recognizer-with-scikit-learn", "kernel_id": "156660"}, {"ref": "terranceliu/tensorflow-deep-nn", "kernel_id": "156450"}, {"ref": "mariomazzarella/digit-recognizer-in-python-using-cnn", "kernel_id": "203723"}, {"ref": "ryanfakir/digit-recognizer-with-scikit-learn", "kernel_id": "156453"}, {"ref": "ryanfakir/digit-recognizer-with-scikit-learn-b6349d40", "kernel_id": "156603"}, {"ref": "adurkin/digit-recognizer-with-scikit-learn", "kernel_id": "156671"}, {"ref": "mpirnat/digit-recognizer-with-scikit-learn", "kernel_id": "156649"}, {"ref": "magnificient/digit-recognizer-with-scikit-learn", "kernel_id": "156646"}, {"ref": "davidgrace/digit-recognizer-with-scikit-learn", "kernel_id": "156611"}, {"ref": "alanlguy/digit-recognizer-with-scikit-learn-4c3e2a40", "kernel_id": "156623"}, {"ref": "alanlguy/digit-recognizer-with-scikit-learn", "kernel_id": "156605"}, {"ref": "bbellanca/digit-recognizer-with-scikit-learn", "kernel_id": "156634"}, {"ref": "codecadwallader/digit-recognizer-with-scikit-learn", "kernel_id": "156608"}, {"ref": "cmorgan12/digit-recognizer-with-scikit-learn", "kernel_id": "156616"}, {"ref": "cmorgan12/digit-recognizer-with-scikit-learn-91871af1", "kernel_id": "156626"}, {"ref": "scascar/notebook0fcc99dfdb", "kernel_id": "164875"}, {"ref": "jmunderwood/digit-recognizer-with-scikit-learn", "kernel_id": "156706"}, {"ref": "n1nfmind/digit-recognizer-with-scikit-learn", "kernel_id": "156657"}, {"ref": "eciryanb/digit-recognizer-with-scikit-learn", "kernel_id": "156696"}, {"ref": "derple/digit-recognizer-with-scikit-learn", "kernel_id": "156621"}, {"ref": "dbartkowski/digit-recognizer-with-scikit-learn", "kernel_id": "156669"}, {"ref": "mnorby/digit-recognizer-with-scikit-learn", "kernel_id": "156700"}, {"ref": "bobbylcraig/digit-recognizer-with-scikit-learn", "kernel_id": "156644"}, {"ref": "sjmadsen/digit-recognizer-with-scikit-learn", "kernel_id": "156629"}, {"ref": "andorbal/digit-recognizer-with-scikit-learn", "kernel_id": "156676"}, {"ref": "herrdrjones/digit-recognizer-with-scikit-learn", "kernel_id": "156690"}, {"ref": "gjigsaw/digit-recognizer-with-scikit-learn", "kernel_id": "156638"}, {"ref": "chickensalad/digit-recognizer-with-scikit-learn", "kernel_id": "156648"}, {"ref": "tadlambjr/digit-recognizer-with-scikit-learn", "kernel_id": "156654"}, {"ref": "larrya/digit-recognizer-with-scikit-learn", "kernel_id": "156670"}, {"ref": "austinemser/digit-recognizer-with-scikit-learn-0ef0a5f9", "kernel_id": "156683"}, {"ref": "austinemser/digit-recognizer-with-scikit-learn", "kernel_id": "156614"}, {"ref": "akrabat/digit-recognizer-with-scikit-learn", "kernel_id": "156604"}, {"ref": "lrubel/digit-recognizer-with-scikit-learn", "kernel_id": "156664"}, {"ref": "llamalur/digit-recognizer-with-scikit-learn", "kernel_id": "156622"}, {"ref": "spoloha11/digit-recognizer-with-scikit-learn", "kernel_id": "156693"}, {"ref": "krswapna/digit-recognizer-with-scikit-learn", "kernel_id": "156663"}, {"ref": "benwallace/notebook060d84a6d7", "kernel_id": "156694"}, {"ref": "mohan252/digit-recognizer-with-scikit-learn-3c90d064", "kernel_id": "156659"}, {"ref": "mohan252/digit-recognizer-with-scikit-learn", "kernel_id": "156645"}, {"ref": "kknoflach/digit-recognizer-with-scikit-learn", "kernel_id": "156767"}, {"ref": "shakhak/digit-recognizer-with-scikit-learn-a5354fb5", "kernel_id": "156672"}, {"ref": "shakhak/digit-recognizer-with-scikit-learn", "kernel_id": "156641"}, {"ref": "k8tied1/digit-recognizer-with-scikit-learn", "kernel_id": "156668"}, {"ref": "himapaladugu/digit-recognizer-with-scikit-learn", "kernel_id": "156689"}, {"ref": "kingtorg/digit-recognizer-with-scikit-learn", "kernel_id": "156673"}, {"ref": "kinau25/notebook6145023e50", "kernel_id": "156792"}, {"ref": "quiddler/digit-recognizer-with-scikit-learn-643bd470", "kernel_id": "156862"}, {"ref": "quiddler/digit-recognizer-with-scikit-learn", "kernel_id": "156854"}, {"ref": "krogermd/digit-recognizer-with-scikit-learn", "kernel_id": "156789"}, {"ref": "dysonlin/tensorflow-deep-nn", "kernel_id": "171173"}, {"ref": "dysonlin/scikit-learn-digits-data-set", "kernel_id": "178304"}, {"ref": "dysonlin/a-beginner-s-approach-to-classification", "kernel_id": "178311"}, {"ref": "dysonlin/interactive-intro-to-dimensionality-reduction", "kernel_id": "178352"}, {"ref": "dysonlin/minimum-distance-classifier", "kernel_id": "178410"}, {"ref": "digimon/mnist-with-cnn-0-99157-score", "kernel_id": "157363"}, {"ref": "digimon/tensorflow-deep-nn", "kernel_id": "157369"}, {"ref": "xhwong/notebook8d9d9517b7", "kernel_id": "158263"}, {"ref": "ferrarilad/prova", "kernel_id": "157575"}, {"ref": "bmabir17/digit-recog-fully-connected", "kernel_id": "162357"}, {"ref": "jackzzj/testing", "kernel_id": "168854"}, {"ref": "jackzzj/notebook29761fe904", "kernel_id": "168863"}, {"ref": "artificialsherlock/yoyoy", "kernel_id": "224249"}, {"ref": "sispeks/using-random-forest", "kernel_id": "158329"}, {"ref": "ashwinichalla/randomforest", "kernel_id": "157853"}, {"ref": "ashwinichalla/randomforest-py", "kernel_id": "157855"}, {"ref": "pestipeti/step-by-step-improving-cnn-0-98414-0-99714", "kernel_id": "673844"}, {"ref": "michaelmotoki/tensorflow-deep-nn", "kernel_id": "160370"}, {"ref": "nithinnindi/scikit", "kernel_id": "158492"}, {"ref": "nithinnindi/digit", "kernel_id": "245352"}, {"ref": "runcpp/mnist-training", "kernel_id": "265709"}, {"ref": "kcviuas/using-xgboost", "kernel_id": "158470"}, {"ref": "kcviuas/keras-cnn-with-explanation", "kernel_id": "160798"}, {"ref": "kcviuas/use-pytorch", "kernel_id": "214091"}, {"ref": "jmbeat/tensorflow-deep-nn", "kernel_id": "167291"}, {"ref": "vicbap/digitrecon", "kernel_id": "163371"}, {"ref": "ngbolin/mnist-dataset-digit-recognizer", "kernel_id": "295668"}, {"ref": "kelles/notebook4d4ba5921e", "kernel_id": "207800"}, {"ref": "rickyhan/first-sample", "kernel_id": "170928"}, {"ref": "rickyhan/notebookeef29960c8", "kernel_id": "170929"}, {"ref": "rickyhan/first-samples", "kernel_id": "170930"}, {"ref": "muchen/notebookde5ad66b84", "kernel_id": "160862"}, {"ref": "muchen/notebook7bf41f512e", "kernel_id": "160864"}, {"ref": "yaozizhenjun/interactive-intro-to-dimensionality-reduction", "kernel_id": "195666"}, {"ref": "slavomirsovik/slavo-kod1", "kernel_id": "160202"}, {"ref": "xiecong/conv-net-on-only-2-features", "kernel_id": "331720"}, {"ref": "xiecong/handwriting", "kernel_id": "331672"}, {"ref": "shubhamnagaria/digit-recognizer", "kernel_id": "195601"}, {"ref": "heeroz/simple-perceptron-classifier", "kernel_id": "160663"}, {"ref": "talgatbkk/testing-py", "kernel_id": "176638"}, {"ref": "ddmngml/pca-and-svm-on-mnist-dataset", "kernel_id": "177415"}, {"ref": "liuke1993/digit-recognizer", "kernel_id": "336008"}, {"ref": "guardian1992/notebook288681e23d", "kernel_id": "162284"}, {"ref": "guardian1992/ffffff", "kernel_id": "162285"}, {"ref": "kevinchu/deep-neural-network-keras-way", "kernel_id": "227790"}, {"ref": "lingdai/notebook16ab53f5b0", "kernel_id": "245512"}, {"ref": "flaviostutz/notebooke7f1de63b5", "kernel_id": "166391"}, {"ref": "flaviostutz/tensorflow-cnn-digit-training", "kernel_id": "166392"}, {"ref": "rylynn/new-notebook", "kernel_id": "504088"}, {"ref": "linw1995/notebook5095fbd8a3", "kernel_id": "176314"}, {"ref": "linw1995/myscript", "kernel_id": "162458"}, {"ref": "linw1995/notebook1880426eb2", "kernel_id": "162636"}, {"ref": "stephenfzp/fork-of-notebook0a427ba43b", "kernel_id": "187981"}, {"ref": "vikrantthakur14/fork-of-interactive-intro-to-dimensionality-reduct", "kernel_id": "195753"}, {"ref": "vikrantthakur14/notebook80f5d6e166", "kernel_id": "195756"}, {"ref": "vikrantthakur14/digit-recog-pca-lda-impl", "kernel_id": "195757"}, {"ref": "vikrantthakur14/digit-recognizer", "kernel_id": "209121"}, {"ref": "liulin/digit-recognizer-in-python-using-cnn", "kernel_id": "218911"}, {"ref": "blackwong/notebook6b03af0d92", "kernel_id": "197325"}, {"ref": "tilakd/pca-and-svm-based-digit-recognizer", "kernel_id": "233081"}, {"ref": "tilakd/digit-recognizer-using-tensorflow", "kernel_id": "212130"}, {"ref": "tilakd/notebookaebe39de35", "kernel_id": "211743"}, {"ref": "heolin/digit-classification", "kernel_id": "175404"}, {"ref": "iabocar/notebook30b2b4e9fc", "kernel_id": "171329"}, {"ref": "iabocar/deep-nn-with-pretraining-on-tensorflow", "kernel_id": "173797"}, {"ref": "dong1985/a-simple-2-layer-neural-network-model", "kernel_id": "193201"}, {"ref": "rigelx/interactive-intro-to-dimensionality-reduction", "kernel_id": "172378"}, {"ref": "vish3011/simple-nn-to-recognize-digit", "kernel_id": "188203"}, {"ref": "manjusha26/easiest-way-of-predicting-digits", "kernel_id": "163265"}, {"ref": "alvaroff/random-forest-n", "kernel_id": "163368"}, {"ref": "alvaroff/threshold", "kernel_id": "163692"}, {"ref": "somania/training-a-convnet-on-mnist-data", "kernel_id": "163330"}, {"ref": "leeyj27/bagging-in-r", "kernel_id": "189298"}, {"ref": "leeyj27/randomforest-in-r", "kernel_id": "189321"}, {"ref": "leeyj27/notebookf40d8d2a48", "kernel_id": "189366"}, {"ref": "rohitmohan96/random-forest-vs-knn", "kernel_id": "176517"}, {"ref": "rohitmohan96/randomforestscript", "kernel_id": "176559"}, {"ref": "rohitmohan96/fork-of-random-forest", "kernel_id": "176564"}, {"ref": "vivipengpeng/digit-recognizer-bagging-classifier", "kernel_id": "167356"}, {"ref": "vivipengpeng/digit-recognizer-randomforest", "kernel_id": "166465"}, {"ref": "vivipengpeng/digit-recognizer-mlp-classifier", "kernel_id": "168094"}, {"ref": "stchau4work/3nn-pca", "kernel_id": "185058"}, {"ref": "stchau4work/tensor-flow", "kernel_id": "203961"}, {"ref": "stchau4work/tf-over-training", "kernel_id": "203965"}, {"ref": "wzz18191171661/notebook46820179fb", "kernel_id": "215559"}, {"ref": "wzz18191171661/notebooka5af0d4f7e", "kernel_id": "215555"}, {"ref": "wzz18191171661/notebook07709e453f", "kernel_id": "215556"}, {"ref": "pengchengchen/digit-recognizer", "kernel_id": "168235"}, {"ref": "sunlanchang/mnist-pca-svm-python", "kernel_id": "248444"}, {"ref": "youver/tensorflow-deep-nn", "kernel_id": "167183"}, {"ref": "ankasor/adversarial-autoencoding-with-keras", "kernel_id": "300269"}, {"ref": "timip8/mnist-deep-learning-with-tensorflow-cnn", "kernel_id": "269303"}, {"ref": "miaodds/tensorflow-deep-nn", "kernel_id": "164747"}, {"ref": "miaodds/tensorflow-deep-nn-199735d6", "kernel_id": "164748"}, {"ref": "canoktay/test1", "kernel_id": "169170"}, {"ref": "gravity0905/notebook5b27d5d1a4", "kernel_id": "166149"}, {"ref": "oskarvdb/digit-recognizer", "kernel_id": "178013"}, {"ref": "mitchfrump/mnist-tensorflow", "kernel_id": "165308"}, {"ref": "mitchfrump/fork-of-mnist-tensorflow", "kernel_id": "165413"}, {"ref": "aharless/keras-nist-dnn-from-laura3", "kernel_id": "244040"}, {"ref": "aharless/keras-mnist-cnn-from-laura-3", "kernel_id": "244072"}, {"ref": "aharless/keras-mnist-cnn-from-eike-dehling", "kernel_id": "243195"}, {"ref": "aharless/keras-mnist-cnn-from-peter-grenholm", "kernel_id": "244420"}, {"ref": "aharless/keras-cnn-lb-9971-with-full-version", "kernel_id": "366999"}, {"ref": "aharless/fishy-keras-model-with-tta", "kernel_id": "357522"}, {"ref": "aharless/fishy-keras-model-lb-9967-when-run-on-gtx1080", "kernel_id": "308154"}, {"ref": "skg9021/notebook3b00bb6129", "kernel_id": "165602"}, {"ref": "rio114/two-convolutions-cnn-for-digit-recoginission", "kernel_id": "180134"}, {"ref": "laxminarayana/notebook8c192ae749", "kernel_id": "191756"}, {"ref": "williamxie/tensorflow-cnn-lb-0-98929", "kernel_id": "216274"}, {"ref": "williamxie/tensorflow-cnn-lb-0-98929-173160", "kernel_id": "216275"}, {"ref": "williamxie/test-william", "kernel_id": "214540"}, {"ref": "williamxie/notebookd35a83e668", "kernel_id": "214538"}, {"ref": "ravi6252/digit", "kernel_id": "259600"}, {"ref": "kvignesh/demo1", "kernel_id": "166260"}, {"ref": "ygtong/comparing-random-forest-pca-and-knn", "kernel_id": "185921"}, {"ref": "ygtong/interactive-intro-to-dimensionality-reduction", "kernel_id": "179837"}, {"ref": "rethna30/tensorflow-deep-nn", "kernel_id": "165826"}, {"ref": "rahulbeniwal/handwritten-digit-recognition", "kernel_id": "230763"}, {"ref": "rahulbeniwal/digit-recognition-using-neural-network", "kernel_id": "233623"}, {"ref": "aofalyb/digitalnumber", "kernel_id": "166986"}, {"ref": "paulogeyer/foobar4", "kernel_id": "179173"}, {"ref": "postpascal/interactive-intro-to-dimensionality-reduction", "kernel_id": "176824"}, {"ref": "golfercwu/a-simple-2-layer-neural-network-model", "kernel_id": "191571"}, {"ref": "xd1234/mnist", "kernel_id": "177679"}, {"ref": "xd1234/notebook0779436831", "kernel_id": "197796"}, {"ref": "xd1234/notebook7740e1ddd2", "kernel_id": "226999"}, {"ref": "xd1234/notebookbe779295c1", "kernel_id": "226464"}, {"ref": "xd1234/tensorflow-basic-run", "kernel_id": "227783"}, {"ref": "xd1234/notebook5a9d8b6a76", "kernel_id": "227887"}, {"ref": "xd1234/cnn-tensorflow", "kernel_id": "227922"}, {"ref": "xd1234/notebook4a948cd556", "kernel_id": "257500"}, {"ref": "xd1234/aaaaa", "kernel_id": "257526"}, {"ref": "superarbus/notebook3299fca5d8", "kernel_id": "170509"}, {"ref": "vallym/first", "kernel_id": "168447"}, {"ref": "tomoto/digit-recognizer-exercise", "kernel_id": "261077"}, {"ref": "lindavid/tensorflow-deep-nn", "kernel_id": "173297"}, {"ref": "anirbanl/random-forest-with-varied-no-of-trees", "kernel_id": "348735"}, {"ref": "harshitsaini/cnn-kernel", "kernel_id": "925708"}, {"ref": "harshitsaini/clean-character-image", "kernel_id": "902445"}, {"ref": "harshitsaini/dimensionalty-reduction-pca-lda", "kernel_id": "902845"}, {"ref": "harshitsaini/kmeans-kernel", "kernel_id": "900267"}, {"ref": "harshitsaini/svm-kernel", "kernel_id": "884810"}, {"ref": "harshitsaini/knn-kernel", "kernel_id": "885316"}, {"ref": "qiweili/notebookcd7ca98c64", "kernel_id": "168137"}, {"ref": "qiweili/notebook6786835f60", "kernel_id": "168139"}, {"ref": "qiweili/notebook2c233f78a2", "kernel_id": "168129"}, {"ref": "elopez69/attention-model-for-character-recognition", "kernel_id": "278077"}, {"ref": "drnooj/initial-digit-script", "kernel_id": "179368"}, {"ref": "hcaiaa/cnn111", "kernel_id": "171520"}, {"ref": "qiongzoe/notebook1f7160faf5", "kernel_id": "168502"}, {"ref": "akshat7/notebookb8d9cfee83", "kernel_id": "235113"}, {"ref": "qiwang2015/minst-mlp10", "kernel_id": "172971"}, {"ref": "asdftoger/tensorflow-deep-nn", "kernel_id": "187714"}, {"ref": "asdftoger/manifold-learning-and-autoencoders-e47071", "kernel_id": "187757"}, {"ref": "asdftoger/tensorflow-deep-nn-a1aef9", "kernel_id": "187938"}, {"ref": "asdftoger/digit-recognizer-in-python-using-cnn", "kernel_id": "188573"}, {"ref": "asdftoger/tensorflow-deep-nn-1b5494", "kernel_id": "188574"}, {"ref": "asdftoger/manifold-learning-and-autoencoders", "kernel_id": "187085"}, {"ref": "asdftoger/manifold-learning-and-autoencoders-763b68", "kernel_id": "187086"}, {"ref": "asdftoger/manifold-learning-and-autoencoders-1cb5a4", "kernel_id": "187132"}, {"ref": "whitefusion/mnist-logreg", "kernel_id": "169036"}, {"ref": "whitefusion/notebookeef8a1a862", "kernel_id": "168685"}, {"ref": "mrbordeaux/notebook7bfd6ef8c8", "kernel_id": "168713"}, {"ref": "jarvis0910/digit-recognizer-in-python-using-cnn", "kernel_id": "192088"}, {"ref": "sahilrggupta/fork-of-notebook24868205a6", "kernel_id": "169603"}, {"ref": "davidmichael/notebook502244bd16", "kernel_id": "169128"}, {"ref": "nanguoyu/keras-cnn-with-explanation", "kernel_id": "195550"}, {"ref": "therandomdude/demo1", "kernel_id": "169267"}, {"ref": "therandomdude/notebook112cff0718", "kernel_id": "169271"}, {"ref": "therandomdude/test1", "kernel_id": "169326"}, {"ref": "therandomdude/notebook4d1cf60aec", "kernel_id": "169321"}, {"ref": "therandomdude/notebookf12790a085", "kernel_id": "169554"}, {"ref": "patelkevin/notebookb1a1f2be36", "kernel_id": "170281"}, {"ref": "patelkevin/keras-cnn-with-explanation", "kernel_id": "172209"}, {"ref": "patelkevin/keras-cnn-with-explanation-8dc3edde", "kernel_id": "172210"}, {"ref": "patelkevin/keras-cnn-with-explanation-75b96f9f", "kernel_id": "172211"}, {"ref": "patelkevin/deep-convolutional-network-using-keras", "kernel_id": "172214"}, {"ref": "xinyuwu/test-of-run-script", "kernel_id": "225149"}, {"ref": "xinyuwu/notebooka1580f2b54", "kernel_id": "228445"}, {"ref": "xinyuwu/notebookf288473fb2", "kernel_id": "228443"}, {"ref": "panflutes/notebook04915b8af5", "kernel_id": "169735"}, {"ref": "jvanvalkenhoef/a-simple-2-layer-neural-network-model-03296b", "kernel_id": "187319"}, {"ref": "jvanvalkenhoef/a-simple-2-layer-neural-network-model", "kernel_id": "187306"}, {"ref": "jndzero2/notebookc11ec10650", "kernel_id": "218394"}, {"ref": "lauralaureus/tensorflow", "kernel_id": "201807"}, {"ref": "ayanmaity/pytorch-cnn-tutorial", "kernel_id": "489558"}, {"ref": "ayanmaity/pytorch-cnn", "kernel_id": "487568"}, {"ref": "shariqfarooq/digits-in-life", "kernel_id": "227098"}, {"ref": "shariqfarooq/notebook1eb1d57cc0", "kernel_id": "227107"}, {"ref": "shariqfarooq/mnist1", "kernel_id": "172684"}, {"ref": "shariqfarooq/mnist", "kernel_id": "172622"}, {"ref": "northomas/using-cnn-with-data-augmentation-in-keras-python", "kernel_id": "237714"}, {"ref": "nightfantom/mnist-solution-base-on-svm-and-pca", "kernel_id": "302957"}, {"ref": "jingningli/notebookac0a98096b", "kernel_id": "233002"}, {"ref": "jingningli/notebookaff283dd04", "kernel_id": "232989"}, {"ref": "rameen/one-dimensional-cnn", "kernel_id": "170607"}, {"ref": "tate1010/keras-cnn-0-99-lb", "kernel_id": "285436"}, {"ref": "nucleosynthesis/tensorflow-deep-nn-9f1ed327", "kernel_id": "172060"}, {"ref": "nucleosynthesis/tensorflow-deep-nn", "kernel_id": "172006"}, {"ref": "nucleosynthesis/tensorflow-deep-nn-a07c194f", "kernel_id": "172007"}, {"ref": "trojanwars/notebooka0bd253322", "kernel_id": "236453"}, {"ref": "trojanwars/notebook8d33cee0ea", "kernel_id": "221876"}, {"ref": "trojanwars/notebook883e3f3038", "kernel_id": "221877"}, {"ref": "jpowierza/digit-recognizer-in-caffe2", "kernel_id": "250056"}, {"ref": "luxabor/notebook44e9297781", "kernel_id": "172047"}, {"ref": "williamswei/keras-cnn-with-explanation", "kernel_id": "174257"}, {"ref": "philipxue/tensorflow-deep-nn", "kernel_id": "172688"}, {"ref": "kazuhisa/notebook7e4a49c715", "kernel_id": "172431"}, {"ref": "kazuhisa/notebooke87b9563af", "kernel_id": "172433"}, {"ref": "nazanindelam/notebookcca932a229", "kernel_id": "187707"}, {"ref": "agraynel/resnet-using-keras11", "kernel_id": "251140"}, {"ref": "helloworldwq/deep-convolutional-network-using-keras", "kernel_id": "173007"}, {"ref": "tang0604/testthedata", "kernel_id": "178758"}, {"ref": "toshie/digit-recogniser-v1", "kernel_id": "173340"}, {"ref": "fox10225fox/cnn-with-tensorflow-v1-1-using-keras-functions", "kernel_id": "246238"}, {"ref": "fox10225fox/single-layer-network-with-tensorflow", "kernel_id": "236837"}, {"ref": "fox10225fox/multiclass-clasification-with-tensorflow", "kernel_id": "236842"}, {"ref": "fox10225fox/multi-layer-network-with-tensorflow", "kernel_id": "237391"}, {"ref": "fox10225fox/single-cnn-with-tensorflow", "kernel_id": "237935"}, {"ref": "fox10225fox/digit-recognizer-using-xgboost", "kernel_id": "339242"}, {"ref": "fox10225fox/randomforest", "kernel_id": "339123"}, {"ref": "mtcmr2/mnist-kerasexample", "kernel_id": "438388"}, {"ref": "ribhu97/basic-number-classifier", "kernel_id": "174699"}, {"ref": "suxuannan/notebookc77975312a", "kernel_id": "187628"}, {"ref": "minsoo91/interactive-intro-to-dimensio-practice", "kernel_id": "254222"}, {"ref": "jimchen65/digital", "kernel_id": "175661"}, {"ref": "johnyyan/tensorflow-convolutional-neural-network", "kernel_id": "185608"}, {"ref": "tanakajp/testfasdfsdaf", "kernel_id": "246901"}, {"ref": "ratkinson/notebook8e64c124a1", "kernel_id": "224697"}, {"ref": "ratkinson/notebookc7ae26a165", "kernel_id": "230937"}, {"ref": "charmingwho/tensorflow-deep-nn", "kernel_id": "175702"}, {"ref": "charmingwho/tensorflow-deep-nn-6aa61746", "kernel_id": "175703"}, {"ref": "aaronlou/notebook43aee9e64e", "kernel_id": "178920"}, {"ref": "mnguy127/testing-tensorflow-testing-1", "kernel_id": "182982"}, {"ref": "mnguy127/tensorflow-testing-2", "kernel_id": "216369"}, {"ref": "bphlmn/cnn-with-tensorflow", "kernel_id": "742541"}, {"ref": "chuanhaoli/tensorflow-nn", "kernel_id": "187182"}, {"ref": "liujinhua20/digit-recognizer", "kernel_id": "277799"}, {"ref": "alvysinger/fork-of-notebookc99b78e3e2", "kernel_id": "180682"}, {"ref": "alvysinger/notebookb9c981d728", "kernel_id": "177267"}, {"ref": "alvysinger/interactive-intro-to-dimensionality-reduction", "kernel_id": "186153"}, {"ref": "alvysinger/comparing-random-forest-pca-and-knn", "kernel_id": "185337"}, {"ref": "alvysinger/mnist-with-cnn-0-99157-score", "kernel_id": "188464"}, {"ref": "alvysinger/tensorflow-deep-nn-8d0108", "kernel_id": "188443"}, {"ref": "alvysinger/tensorflow-deep-nn", "kernel_id": "188428"}, {"ref": "nicooo/notebookd09fa0eb1f", "kernel_id": "233174"}, {"ref": "neerajpai/tensorflow-deep-nn", "kernel_id": "541321"}, {"ref": "mezno25/a-beginner-s-approach-to-classification-4fd1e1", "kernel_id": "226615"}, {"ref": "mezno25/introduction-la-reconnaissance-de-formes", "kernel_id": "210774"}, {"ref": "mezno25/notebookb3974adb0d", "kernel_id": "210609"}, {"ref": "rfdickerson/digit-classification-with-keras", "kernel_id": "267554"}, {"ref": "n3xtvision/a-simple-2-layer-neural-network-model", "kernel_id": "179374"}, {"ref": "iddy93/idham-halim-submission-data-star", "kernel_id": "492426"}, {"ref": "wuqiansheng/notebook79aaddf93b", "kernel_id": "177839"}, {"ref": "rainmanbj/notebook916627e29f", "kernel_id": "178979"}, {"ref": "arunpaul/interactive-intro-to-dimensionality-reduction", "kernel_id": "185301"}, {"ref": "arunpaul/interactive-intro-to-dimensionality-reducti-d62b80", "kernel_id": "190690"}, {"ref": "alexmii/test-digital", "kernel_id": "216417"}, {"ref": "alexmii/testkaggle", "kernel_id": "216419"}, {"ref": "maximmazurok/digit-recognizer-pca-knn-97", "kernel_id": "185296"}, {"ref": "unevilicorn/trying", "kernel_id": "178256"}, {"ref": "aer503/deep-learning-with-h2o-for-digit-recognizer-in-r", "kernel_id": "248060"}, {"ref": "olliejday/notebookcc964d58dc", "kernel_id": "186034"}, {"ref": "olliejday/neural-network-for-mnist", "kernel_id": "185689"}, {"ref": "olliejday/notebook0407c5d089", "kernel_id": "178499"}, {"ref": "olliejday/basic-neural-network-for-mnist", "kernel_id": "178502"}, {"ref": "pvs266/notebook2ea8171d53", "kernel_id": "218811"}, {"ref": "laser001/laser001", "kernel_id": "201477"}, {"ref": "davidcsgf/notebook0d8d5f73fd", "kernel_id": "187934"}, {"ref": "davidcsgf/zero-are-important-value", "kernel_id": "187941"}, {"ref": "davidcsgf/notebook536bbc432f", "kernel_id": "186246"}, {"ref": "yazeedalrubyli/convolutional-neural-network-with-keras", "kernel_id": "232402"}, {"ref": "pyhron/mnist-with-cnn-0-99157-score", "kernel_id": "179179"}, {"ref": "zhangyan0623/digit-recognizer", "kernel_id": "246371"}, {"ref": "zhangyan0623/digit-recognizer-in-r", "kernel_id": "255441"}, {"ref": "zhangyan0623/notebook47890e13ca", "kernel_id": "255448"}, {"ref": "zhangyan0623/notebookf30109ba72", "kernel_id": "255439"}, {"ref": "zhangyan0623/digit-recognizer-code", "kernel_id": "256340"}, {"ref": "lpanthi/prediction-using-h2o-in-r", "kernel_id": "226831"}, {"ref": "mengjiezheng/h2o-com", "kernel_id": "237065"}, {"ref": "chuang17/notebook85ac0999e4", "kernel_id": "233177"}, {"ref": "chuang17/notebook14eb11d0fc", "kernel_id": "233181"}, {"ref": "chuang17/notebookd1dec816cb", "kernel_id": "233194"}, {"ref": "insacca/naive-logic", "kernel_id": "179243"}, {"ref": "n3797556/a-simple-2-layer-neural-network-model", "kernel_id": "179384"}, {"ref": "superyao/interactive-intro-to-dimensionality-reduction", "kernel_id": "193486"}, {"ref": "youngfire/notebook3b54719a44", "kernel_id": "189849"}, {"ref": "wangyang2017/notebookb51f632cfb", "kernel_id": "210480"}, {"ref": "wangyang2017/notebook710764e78e", "kernel_id": "210269"}, {"ref": "wangyang2017/notebook98cfff31b3", "kernel_id": "195660"}, {"ref": "wangyang2017/notebook80f7059bc6", "kernel_id": "198049"}, {"ref": "leitasat/98-without-neural-nets", "kernel_id": "670245"}, {"ref": "antunes/tensorflow-deep-nn", "kernel_id": "185589"}, {"ref": "droplet/notebookba587ec699", "kernel_id": "262301"}, {"ref": "droplet/notebook10ec3018a9", "kernel_id": "262303"}, {"ref": "droplet/notebook20df742f9c", "kernel_id": "262308"}, {"ref": "chanyi/tensorflow-deep-nn-5d316b", "kernel_id": "272872"}, {"ref": "eceman/notebook98233092da", "kernel_id": "183863"}, {"ref": "jzl921111/notebookdced3425a3", "kernel_id": "203545"}, {"ref": "wchxu96/notebook79bb46a7cc", "kernel_id": "187605"}, {"ref": "wchxu96/123456", "kernel_id": "201516"}, {"ref": "wchxu96/notebook845e280cfc", "kernel_id": "201505"}, {"ref": "wchxu96/notebook7517e06db3", "kernel_id": "197868"}, {"ref": "wchxu96/notebook0c2b8524c7", "kernel_id": "200811"}, {"ref": "wchxu96/notebookaec592884a", "kernel_id": "201124"}, {"ref": "wchxu96/notebook7ba0b25d95", "kernel_id": "201126"}, {"ref": "wchxu96/notebook917c4d15a0", "kernel_id": "201135"}, {"ref": "wchxu96/notebookcced08d8bf", "kernel_id": "201136"}, {"ref": "wchxu96/11111111111111111", "kernel_id": "229282"}, {"ref": "wchxu96/my-first-kernel", "kernel_id": "232870"}, {"ref": "wchxu96/notebooke444cb21de", "kernel_id": "259465"}, {"ref": "ajniggles/notebooke64109f571", "kernel_id": "212760"}, {"ref": "niccolo/notebook89da1878f0", "kernel_id": "232361"}, {"ref": "lugark/nn-on-tensorflow", "kernel_id": "226238"}, {"ref": "pulkitk2/knn-from-scratch-in-python", "kernel_id": "183559"}, {"ref": "decentmakeover/notebook82d64397a3", "kernel_id": "222876"}, {"ref": "playwithdata/notebook124a68287a", "kernel_id": "196805"}, {"ref": "monnelh/notebookb8820afee6", "kernel_id": "201040"}, {"ref": "agnimon/notebook6996cd6f77", "kernel_id": "189634"}, {"ref": "leodisi/notebookd6cfa1aa69", "kernel_id": "243981"}, {"ref": "leodisi/notebookcf27a253f5", "kernel_id": "244038"}, {"ref": "mlsawyer/tensorflow-convolutional-neural-network", "kernel_id": "182898"}, {"ref": "most00/notebook97dd56f491", "kernel_id": "226930"}, {"ref": "vernyvernz/notebookae5f007b89", "kernel_id": "270374"}, {"ref": "liangxhao/interactive-intro-to-dimensionality-reduction", "kernel_id": "185079"}, {"ref": "coder81/bingo", "kernel_id": "183563"}, {"ref": "naxalpha/mnist-generator", "kernel_id": "199527"}, {"ref": "junjae/interactive-intro-to-dimensionality-reduction", "kernel_id": "185716"}, {"ref": "pablogalaviz/notebook9f05167376", "kernel_id": "184193"}, {"ref": "huihuangchh/cnn-for-digit-recognition", "kernel_id": "233051"}, {"ref": "mohcer/tflearn-neural-network-for-mnist", "kernel_id": "211245"}, {"ref": "leedlut/notebook5cb4389f6a", "kernel_id": "184413"}, {"ref": "andyzxcvbnm/notebook93d1ecaedd", "kernel_id": "184746"}, {"ref": "andyzxcvbnm/notebook7fb41b47ba", "kernel_id": "184632"}, {"ref": "yichangfeng/digit-recognizer", "kernel_id": "188320"}, {"ref": "yichangfeng/notebookde67a856a4", "kernel_id": "189340"}, {"ref": "yichangfeng/logistic-regression", "kernel_id": "189341"}, {"ref": "kei0226/study-mnist-classification", "kernel_id": "198239"}, {"ref": "kei0226/with-pytorch", "kernel_id": "227020"}, {"ref": "chenoo123/mnist-classification", "kernel_id": "214821"}, {"ref": "devill/mnist-notebook", "kernel_id": "193353"}, {"ref": "lingjian/a-beginner-s-approach-to-classification", "kernel_id": "224448"}, {"ref": "lingjian/deep-neural-network-keras-way", "kernel_id": "224450"}, {"ref": "lingjian/interactive-intro-to-dimensionality-reduction", "kernel_id": "224453"}, {"ref": "fenggoahead/acc-0-98-using-svm-without-pca", "kernel_id": "263658"}, {"ref": "fenggoahead/acc-0-98-with-svm-not-pca", "kernel_id": "263627"}, {"ref": "fenggoahead/acc-0-90-using-logistic-regression", "kernel_id": "262956"}, {"ref": "wire9frame/notebook5146f5c6e9", "kernel_id": "235023"}, {"ref": "baleal/test101", "kernel_id": "192758"}, {"ref": "shuer218/notebook95d7e9cca9", "kernel_id": "198960"}, {"ref": "stefantaubert/a-beginner-s-approach-to-classification", "kernel_id": "224572"}, {"ref": "trvrmgn/keras-image-recognition", "kernel_id": "207684"}, {"ref": "arnpal/digit-recognizer-kernel", "kernel_id": "213362"}, {"ref": "maximsk/notebookb4a78f85f5", "kernel_id": "581881"}, {"ref": "mark12345an/randforest", "kernel_id": "187337"}, {"ref": "mark12345an/notebookeeb799b9d4", "kernel_id": "193220"}, {"ref": "mark12345an/randfor", "kernel_id": "193221"}, {"ref": "jindongwang92/notebookc97dfc65d6", "kernel_id": "188557"}, {"ref": "tangjm/notebook177fbedc50", "kernel_id": "271182"}, {"ref": "sonnguyenkstn0707/notebooka350c32371", "kernel_id": "197152"}, {"ref": "toregil/welcome-to-deep-learning-cnn-99", "kernel_id": "202132"}, {"ref": "cerebrium/notebook8d1628447f", "kernel_id": "223283"}, {"ref": "yangshy/notebook71241f5fbf", "kernel_id": "189567"}, {"ref": "yangshy/notebook2881440f5f", "kernel_id": "188676"}, {"ref": "boiior/digit-recognizer", "kernel_id": "201156"}, {"ref": "himanish2006/notebookc51d7827ff", "kernel_id": "234675"}, {"ref": "himanish2006/digit-recognizer", "kernel_id": "234678"}, {"ref": "zeromint/a-beginner-s-approach-to-classification-edited", "kernel_id": "278381"}, {"ref": "issyou/deep-neural-network-keras-way-d08316", "kernel_id": "255497"}, {"ref": "issyou/deep-neural-network-keras-way", "kernel_id": "255494"}, {"ref": "qianshui/tensorflow-convolutional-neural-network", "kernel_id": "189761"}, {"ref": "evilstan/notebookc69e7b95ca", "kernel_id": "192975"}, {"ref": "evilstan/interactive-intro-to-dimensionality-reducti-8b088a", "kernel_id": "259635"}, {"ref": "wbronchart/notebook783befce2b", "kernel_id": "247078"}, {"ref": "djonik/fork-of-mnist-with-cnn-0-99157-score", "kernel_id": "190579"}, {"ref": "nsjoshi/notebook578d076e0f", "kernel_id": "201967"}, {"ref": "leetion/tensorflow-deep-nn", "kernel_id": "191703"}, {"ref": "dafengzai/notebook7db1bdb092", "kernel_id": "229498"}, {"ref": "trebouxj/comparing-random-forest-pca-and-knn", "kernel_id": "190990"}, {"ref": "michaelkang/fork-of-playing-around-with-mnist-data-and-method", "kernel_id": "232544"}, {"ref": "michaelkang/notebooka30afd8e1b", "kernel_id": "222251"}, {"ref": "michaelkang/playing-around-with-mnist-data-and-methods", "kernel_id": "222254"}, {"ref": "michaelkang/notebookd42ddc7af2", "kernel_id": "222260"}, {"ref": "iangsy/notebook89d4acd6c0", "kernel_id": "221424"}, {"ref": "sarajams/tensorflow-deep-nn", "kernel_id": "194532"}, {"ref": "cgangwar1/notebook6f10d6afd9", "kernel_id": "191229"}, {"ref": "ripples/notebook50771a41ab", "kernel_id": "205575"}, {"ref": "ripples/dimension-reduction-model-comparison", "kernel_id": "211424"}, {"ref": "qq573528886/notebook5fac56ac31", "kernel_id": "191824"}, {"ref": "lobsteravr/deep-neural-network-keras-way", "kernel_id": "212358"}, {"ref": "lobsteravr/notebookbe0c8e20ea", "kernel_id": "276044"}, {"ref": "kamratia/parser", "kernel_id": "192400"}, {"ref": "neomatrix/notebook0d8b309896", "kernel_id": "193477"}, {"ref": "neomatrix/mytry", "kernel_id": "231931"}, {"ref": "neomatrix/mytry2", "kernel_id": "231936"}, {"ref": "xiaotcoming/manifold-learning-and-autoencoders", "kernel_id": "192530"}, {"ref": "catherinezng/script-py", "kernel_id": "272021"}, {"ref": "tanzetao/notebooka42c474031", "kernel_id": "192892"}, {"ref": "tanzetao/firstdemo", "kernel_id": "192887"}, {"ref": "wxmachinelearning/pca-and-gradientboostingclassifier", "kernel_id": "193720"}, {"ref": "purushothamanayak/notebookbe03367834", "kernel_id": "216486"}, {"ref": "torkar1/tensorflow-deep-nn", "kernel_id": "193999"}, {"ref": "afly6899/just-getting-started", "kernel_id": "212985"}, {"ref": "laosvhe/tensorflow-convolutional-neural-network-for-mnist", "kernel_id": "258713"}, {"ref": "ianchute/random-mlp-ensembling-0-97", "kernel_id": "263693"}, {"ref": "zhanpon/simple-logistic-regression-and-mlp", "kernel_id": "208858"}, {"ref": "zhanpon/notebookd3f9165f7d", "kernel_id": "208889"}, {"ref": "zhanpon/notebook3351f4cb70", "kernel_id": "227034"}, {"ref": "xkiracn/digit-r-ml", "kernel_id": "194106"}, {"ref": "fadlanzunima/recognition", "kernel_id": "219140"}, {"ref": "fadlanzunima/notebook8a70d087c6", "kernel_id": "219141"}, {"ref": "jiangkunliu/interactive-intro-to-dimensionality-reduction", "kernel_id": "195071"}, {"ref": "jcodogno/neural-network-using-adam", "kernel_id": "383166"}, {"ref": "jcodogno/neural-network-using-sgd-98-9", "kernel_id": "207597"}, {"ref": "jcodogno/neural-network-and-support-vector-machine", "kernel_id": "748102"}, {"ref": "znoland1/notebook836714b064", "kernel_id": "194577"}, {"ref": "plarmuseau/deskewing", "kernel_id": "917822"}, {"ref": "plarmuseau/without-neural-networks-lsa-knn-gradient-logist", "kernel_id": "890000"}, {"ref": "ion2014/12333", "kernel_id": "194950"}, {"ref": "jhkrog/notebookb924a0a8a3", "kernel_id": "210838"}, {"ref": "asekede/interactive-intro-to-dimensionality-reduction", "kernel_id": "195141"}, {"ref": "lamlam009/keras", "kernel_id": "521835"}, {"ref": "gidsor/notebookd8033e6b22", "kernel_id": "197882"}, {"ref": "mkatre/notebookc4d7943bce", "kernel_id": "196640"}, {"ref": "tanvi29/welcome-to-deep-learning-cnn-99", "kernel_id": "249325"}, {"ref": "lt123456/notebook04b16d8967", "kernel_id": "202150"}, {"ref": "slavaglaps/notebook6dc96aeb0c", "kernel_id": "212630"}, {"ref": "nicole244/notebook09ae8c2428", "kernel_id": "197287"}, {"ref": "zxllcy/test1", "kernel_id": "197706"}, {"ref": "zxllcy/notebook76128c51c3", "kernel_id": "197689"}, {"ref": "frostzyh/tensorflow-deep-nn", "kernel_id": "210106"}, {"ref": "jackle45/notebookedc1c0d9de", "kernel_id": "198211"}, {"ref": "jackle45/digti-try", "kernel_id": "200391"}, {"ref": "qinnawang/nn-digital", "kernel_id": "277810"}, {"ref": "g12megha/digit-recognizer", "kernel_id": "287275"}, {"ref": "cat4m4r4n/notebook1674a61edd", "kernel_id": "198890"}, {"ref": "cat4m4r4n/notebook3f9dee6f7c", "kernel_id": "200789"}, {"ref": "cat4m4r4n/notebook2e828f533e", "kernel_id": "200055"}, {"ref": "tangzy/notebook0e1491205e", "kernel_id": "200299"}, {"ref": "wesleyshi/notebook2095fd4410", "kernel_id": "227767"}, {"ref": "mininin222/digit-recognizer-testing", "kernel_id": "239089"}, {"ref": "anjalinagaraj/notebook77f9e4a8b6", "kernel_id": "217031"}, {"ref": "a2296820/notebook8ac1417238", "kernel_id": "200101"}, {"ref": "a2296820/notebook4145ea3820", "kernel_id": "200105"}, {"ref": "a2296820/notebook7c41f95b33", "kernel_id": "200107"}, {"ref": "aurouaw/tensorflow-mlp", "kernel_id": "202142"}, {"ref": "lxghust/test-digital-recognition", "kernel_id": "200255"}, {"ref": "czw123/notebookc1a6d6a5cb", "kernel_id": "217458"}, {"ref": "lilukaggle/myfirstscript", "kernel_id": "209547"}, {"ref": "lilukaggle/interactive-intro-to-dimensionality-reduction", "kernel_id": "210627"}, {"ref": "dhinar1991/tensorflow-deep-nn", "kernel_id": "513698"}, {"ref": "dhinar1991/easy-neural-network-in-r-for-0-994", "kernel_id": "289259"}, {"ref": "akshaypunjabi/a-beginner-s-approach-to-classification", "kernel_id": "221688"}, {"ref": "yangfantrinity/digits-recognition-using-svm", "kernel_id": "202219"}, {"ref": "yangfantrinity/notebook5e270eb689", "kernel_id": "202051"}, {"ref": "ranggaacc/notebook5604e02e69", "kernel_id": "219139"}, {"ref": "azmiiqbalgp/notebook2401ce2614", "kernel_id": "219136"}, {"ref": "kunlaotou/firstpredict", "kernel_id": "203533"}, {"ref": "kunlaotou/notebookecbd6d259f", "kernel_id": "203516"}, {"ref": "kunlaotou/notebookb20e8716b7", "kernel_id": "205918"}, {"ref": "kunlaotou/notebookc54bae03f9", "kernel_id": "206016"}, {"ref": "kunlaotou/notebook41d3e9bd80", "kernel_id": "205940"}, {"ref": "kunlaotou/notebook80c26b08b0", "kernel_id": "221726"}, {"ref": "kunlaotou/notebook156b0ae1db", "kernel_id": "221728"}, {"ref": "kunlaotou/notebook3a144358c1", "kernel_id": "221571"}, {"ref": "kunlaotou/notebook612b97ffba", "kernel_id": "221554"}, {"ref": "kunlaotou/pca-knn-score-0-977", "kernel_id": "224482"}, {"ref": "kunlaotou/notebook7d331bb90e", "kernel_id": "224602"}, {"ref": "kunlaotou/notebookde6d13ad4e", "kernel_id": "224696"}, {"ref": "kunlaotou/notebook9b1891a059", "kernel_id": "225330"}, {"ref": "kunlaotou/notebook28b9a329c2", "kernel_id": "225323"}, {"ref": "pedrolcn/notebook4f69f4fb20", "kernel_id": "265888"}, {"ref": "pedrolcn/deep-tensorflow-ccn-cross-validation", "kernel_id": "263435"}, {"ref": "pedrolcn/image-augmentation-with-keras-preprocessing-api", "kernel_id": "263706"}, {"ref": "pedrolcn/notebook0ec1ce82a9", "kernel_id": "262241"}, {"ref": "noahhao/test-hao", "kernel_id": "201497"}, {"ref": "noahhao/notebook02905985d3", "kernel_id": "201522"}, {"ref": "svyueming/notebookbf58f2594f", "kernel_id": "201618"}, {"ref": "yuusuke/mnist-tutorial-with-keras", "kernel_id": "233832"}, {"ref": "hyogase/notebook8b5f8a9a38", "kernel_id": "271217"}, {"ref": "mi233dzc/notebooka78d3a1968", "kernel_id": "246084"}, {"ref": "atorin/mnist-digit-recognition-with-random-forests", "kernel_id": "293123"}, {"ref": "nesterovml/classification-test", "kernel_id": "216884"}, {"ref": "kenny21143/getting-started-by-mnist", "kernel_id": "264215"}, {"ref": "cnusapbo/digit-recognition-r", "kernel_id": "247054"}, {"ref": "cnusapbo/digit-recon", "kernel_id": "247049"}, {"ref": "sszilvasi/notebooke153bc19bb", "kernel_id": "214037"}, {"ref": "lach1991/notebooka564588326", "kernel_id": "212811"}, {"ref": "trenzalore888/my-first-attempt-at-digital-recognition", "kernel_id": "237266"}, {"ref": "serart/digit-recognizer", "kernel_id": "223699"}, {"ref": "haritha1313/digitreco", "kernel_id": "236213"}, {"ref": "haritha1313/willtfwork", "kernel_id": "239669"}, {"ref": "haritha1313/coconuts", "kernel_id": "239878"}, {"ref": "qiqiguaitm/notebookca9ecd609c", "kernel_id": "204051"}, {"ref": "pdima11/notebook53ee5886b3", "kernel_id": "222032"}, {"ref": "shifengwang/try1-py", "kernel_id": "222383"}, {"ref": "shifengwang/qwerty", "kernel_id": "222386"}, {"ref": "shifengwang/qwertyu", "kernel_id": "222410"}, {"ref": "shifengwang/notebook28e7d471c9", "kernel_id": "228046"}, {"ref": "jayniti/notebook2d5da29ece", "kernel_id": "214602"}, {"ref": "wztwayne/notebookec17fe8826", "kernel_id": "203658"}, {"ref": "sfailsthy/tensorflow-deep-nn-3f2f58", "kernel_id": "259021"}, {"ref": "sfailsthy/tensorflow-deep-nn", "kernel_id": "258857"}, {"ref": "sfailsthy/tensorflow-deep-nn-97ae4c", "kernel_id": "258859"}, {"ref": "gregory1w/notebook9d51a92ef6", "kernel_id": "222366"}, {"ref": "vennyfu/notebooke939b18b65", "kernel_id": "204151"}, {"ref": "wpriyambodo/notebookfc39c56c50", "kernel_id": "256021"}, {"ref": "mykagglename/notebooke09ec84c81", "kernel_id": "216025"}, {"ref": "funnytoken/keras-dnn-with-convolutional-layers", "kernel_id": "227487"}, {"ref": "jyotiprakash/digit-recogniser", "kernel_id": "254643"}, {"ref": "jyotiprakash/minst-using-randomforest-svm-and-neuralnet", "kernel_id": "256883"}, {"ref": "jyotiprakash/digit-recognizer-using-cnn", "kernel_id": "258100"}, {"ref": "mcg123/notebook222c1186f7", "kernel_id": "253954"}, {"ref": "kvnlng/mnist", "kernel_id": "233432"}, {"ref": "kvnlng/notebook922c12b191", "kernel_id": "233430"}, {"ref": "jesyfax/digit-recognizer", "kernel_id": "238117"}, {"ref": "jesyfax/digit-recognizer-with-keras", "kernel_id": "272238"}, {"ref": "jesyfax/notebook3c9813cfd9", "kernel_id": "261286"}, {"ref": "shfkhalifa/mnist-trial-1", "kernel_id": "587002"}, {"ref": "shfkhalifa/test-11", "kernel_id": "556699"}, {"ref": "flyingbryant/keras-cnn", "kernel_id": "224792"}, {"ref": "mopierre/qbi2017-introduction-to-contests", "kernel_id": "205245"}, {"ref": "minnab/qbi2017-introduction-to-contests", "kernel_id": "205287"}, {"ref": "teitei/mnist-simple-nn-keras", "kernel_id": "205355"}, {"ref": "nikolasagl/testedigits", "kernel_id": "208147"}, {"ref": "lockhartey/lockhartey", "kernel_id": "305086"}, {"ref": "lixiaoxiang2000/notebook75fd9a8439", "kernel_id": "232740"}, {"ref": "kent119/tensorflow-deep-nueralnetwork", "kernel_id": "226493"}, {"ref": "kent119/digit-recognizer-in-python-using-cnn", "kernel_id": "226467"}, {"ref": "dalgozzy/notebooke5f5cd5359", "kernel_id": "206203"}, {"ref": "czfshine/first", "kernel_id": "217238"}, {"ref": "czfshine/notebooked38bc47e6", "kernel_id": "240437"}, {"ref": "czfshine/notebook1dc2d53f25", "kernel_id": "240471"}, {"ref": "czfshine/test1", "kernel_id": "309818"}, {"ref": "eikedehling/keras-neural-network-top-10-of-leaderboard", "kernel_id": "232351"}, {"ref": "eikedehling/automatically-determine-the-best-keras-model", "kernel_id": "233868"}, {"ref": "narachannel/notebook9bb9af76e9", "kernel_id": "221620"}, {"ref": "kamal17/notebookf9aeb4f830", "kernel_id": "219134"}, {"ref": "simplex7/deep-neural-network-keras-way", "kernel_id": "214579"}, {"ref": "tiagobbatalhao/notebook132a2b7f5e", "kernel_id": "223989"}, {"ref": "lgmdl666/notebookffb89173aa", "kernel_id": "208143"}, {"ref": "kevinnatan/script1", "kernel_id": "208180"}, {"ref": "becacastilho/teste", "kernel_id": "208175"}, {"ref": "caio000/programashow", "kernel_id": "208183"}, {"ref": "mayradbueno/bpeajpefoaifa", "kernel_id": "208200"}, {"ref": "ferbiani/teste", "kernel_id": "208170"}, {"ref": "lucasperrotta/lucasperrotta", "kernel_id": "208169"}, {"ref": "lucasperrotta/lucasperrotta1", "kernel_id": "208201"}, {"ref": "fernandatarallo/aula1", "kernel_id": "208171"}, {"ref": "garotoenxaqueca/superlooser", "kernel_id": "208179"}, {"ref": "yellowcropsnake/aula-python", "kernel_id": "208189"}, {"ref": "yellowcropsnake/mnisteste", "kernel_id": "208210"}, {"ref": "larissahikao/teste", "kernel_id": "208174"}, {"ref": "jeanfbd/teste", "kernel_id": "208185"}, {"ref": "rodrigoborges97/zezinhoteste", "kernel_id": "208178"}, {"ref": "edesioneto10/neymar", "kernel_id": "208188"}, {"ref": "flaflu1803/muncher", "kernel_id": "208192"}, {"ref": "matheusladislau/digitrecognizer", "kernel_id": "208151"}, {"ref": "gabrielabrto/teste", "kernel_id": "208172"}, {"ref": "gabrielabrto/testee", "kernel_id": "208204"}, {"ref": "pscamila/introducao", "kernel_id": "208176"}, {"ref": "gisellehoekveld/redesneurais", "kernel_id": "208190"}, {"ref": "joaoalb/joao1", "kernel_id": "208186"}, {"ref": "macarenco/teste", "kernel_id": "208193"}, {"ref": "caveskyward/vamos", "kernel_id": "208167"}, {"ref": "guimaraesd/astolfo", "kernel_id": "208173"}, {"ref": "erivelton/teste", "kernel_id": "208187"}, {"ref": "alvesrafael17/rafael", "kernel_id": "208168"}, {"ref": "legoritma/building-autoencoders-in-keras-notebook", "kernel_id": "258314"}, {"ref": "legoritma/notebookf0a42c3bcb", "kernel_id": "208229"}, {"ref": "deepvyas/notebook271315c64e", "kernel_id": "208300"}, {"ref": "angshine/learning", "kernel_id": "230060"}, {"ref": "angshine/notebookbceca230cc", "kernel_id": "230054"}, {"ref": "angshine/digit-recognizer-in-python-using-cnn", "kernel_id": "254632"}, {"ref": "lisajing/written-digit-recognise-py", "kernel_id": "241982"}, {"ref": "lisajing/predict-written-digits-svm", "kernel_id": "241949"}, {"ref": "sudonuma/notebook7a2eebcad5", "kernel_id": "242022"}, {"ref": "kangyabing/mxnet-cnn", "kernel_id": "212839"}, {"ref": "guptaprakash/notebook4798938bb7", "kernel_id": "261876"}, {"ref": "zhanggengxin/notebook8735a234ae", "kernel_id": "218004"}, {"ref": "thele0nx/first-neural-network", "kernel_id": "217486"}, {"ref": "nicadancs/notebookbbb916b2bd", "kernel_id": "210507"}, {"ref": "bravoz/notebooka08bf45f5e", "kernel_id": "212707"}, {"ref": "ryukcu/notebook54fd0464eb", "kernel_id": "272095"}, {"ref": "ryukcu/notebookeafaddd4c0", "kernel_id": "272096"}, {"ref": "ryukcu/fork-of-notebook54fd0464eb", "kernel_id": "272157"}, {"ref": "georgeqq/notebook1fa977d3c7", "kernel_id": "210708"}, {"ref": "piotrekw/notebook34a2b57211", "kernel_id": "241395"}, {"ref": "matslundberg/notebook8818525fc6", "kernel_id": "211043"}, {"ref": "benjaminchai/notebook8a47820e21", "kernel_id": "211050"}, {"ref": "benjaminchai/notebooke071ae8271", "kernel_id": "221677"}, {"ref": "jayyin/digitrecognizer-svm", "kernel_id": "243100"}, {"ref": "jayyin/digitrecognizer", "kernel_id": "237179"}, {"ref": "hustrogeryu/notebook3038fd65c9", "kernel_id": "211403"}, {"ref": "aisa29/digit-recognizer", "kernel_id": "211231"}, {"ref": "aisa29/notebook4d149c082b", "kernel_id": "211238"}, {"ref": "xupanda/tensorflow-mnist", "kernel_id": "225189"}, {"ref": "alberto02/my-first-script", "kernel_id": "211616"}, {"ref": "ivalnic/notebook0138bf9dc5", "kernel_id": "235824"}, {"ref": "ivalnic/notebook7d59a6a607", "kernel_id": "234993"}, {"ref": "zezhong/notebook65886637f5", "kernel_id": "211352"}, {"ref": "ddemirci/notebook68dcf93ce6", "kernel_id": "211746"}, {"ref": "lynchlee/digit-recognizer-my-first-try", "kernel_id": "225317"}, {"ref": "lynchlee/digit-recognize-by-lynch201", "kernel_id": "225332"}, {"ref": "govardhan100/notebookdf95c3a65c", "kernel_id": "217379"}, {"ref": "yangfeiml/knn-svm-adaboost-compare", "kernel_id": "212072"}, {"ref": "yangfeiml/notebook18c6717fd1", "kernel_id": "333097"}, {"ref": "yangfeiml/notebookcb98bbc9cb", "kernel_id": "333283"}, {"ref": "dynastyforwang/notebook7a9d6667e4", "kernel_id": "212297"}, {"ref": "buer9402/knn-from-scratch-in-python-at-97-1", "kernel_id": "216231"}, {"ref": "buer9402/minst-using-randomforest-svm-and-neuralnet", "kernel_id": "216167"}, {"ref": "buer9402/digit-recognizer-using-randomforest", "kernel_id": "216173"}, {"ref": "bardyshborys/notebook0fd8a17b7c", "kernel_id": "223801"}, {"ref": "bardyshborys/notebooke9c132c8f7", "kernel_id": "223751"}, {"ref": "bardyshborys/notebook98959d2333", "kernel_id": "223752"}, {"ref": "jinaypatel/lenet-mnist", "kernel_id": "214525"}, {"ref": "jinaypatel/scikit-mnist-py", "kernel_id": "212503"}, {"ref": "jinaypatel/sample", "kernel_id": "212788"}, {"ref": "oxfanf/notebook2ea89298d9", "kernel_id": "212642"}, {"ref": "hectrix08/notebooke1836576bb", "kernel_id": "227106"}, {"ref": "junaidahmad/notebook80c5b3e0ba", "kernel_id": "213765"}, {"ref": "kkopitehong/train-mnist", "kernel_id": "248535"}, {"ref": "kkopitehong/a-beginner-s-approach-to-classification-d099ac", "kernel_id": "248529"}, {"ref": "salamandra/notebooka237ee187c", "kernel_id": "263077"}, {"ref": "miniwizard/notebooke10ba76206", "kernel_id": "213421"}, {"ref": "minininjia/notebook1741e4f5f3", "kernel_id": "238266"}, {"ref": "nikolaipopov/hand-written-digits-reconition-using-mnist", "kernel_id": "299753"}, {"ref": "wequalsfriend/tf-exampled", "kernel_id": "254969"}, {"ref": "wequalsfriend/tf-eg", "kernel_id": "261739"}, {"ref": "ldj6692240/digitrecognizerconv2d", "kernel_id": "268760"}, {"ref": "hypercross/notebooke0a486f294", "kernel_id": "227656"}, {"ref": "hypercross/uhh-testing", "kernel_id": "227658"}, {"ref": "ricky1993/notebook44e5b0036c", "kernel_id": "218427"}, {"ref": "ricky1993/test-for-first", "kernel_id": "218430"}, {"ref": "badalgupta/beginner-cnn-introduction-lenet5-architecture", "kernel_id": "890585"}, {"ref": "nabinn/digit-recognizer-using-cnn-in-keras", "kernel_id": "332994"}, {"ref": "alexbooth/digit-recognizer", "kernel_id": "218824"}, {"ref": "alexbooth/notebook9682510439", "kernel_id": "236026"}, {"ref": "drgaurav/notebookf649bd0a55", "kernel_id": "241215"}, {"ref": "evanmu96/a-starter-approach-using-svm-and-pca", "kernel_id": "330057"}, {"ref": "keerthirbollam/notebookf7cfb84f5e", "kernel_id": "263868"}, {"ref": "hakobtam/notebookda8e593468", "kernel_id": "216804"}, {"ref": "hakobtam/notebook42cb603d8a", "kernel_id": "216920"}, {"ref": "hakobtam/notebook85fb4700cd", "kernel_id": "216890"}, {"ref": "hakobtam/notebook8a874fa33d", "kernel_id": "216875"}, {"ref": "hakobtam/notebook6b27e36b55", "kernel_id": "227968"}, {"ref": "mluckydwyer/tf-nn", "kernel_id": "273786"}, {"ref": "rvislaywade/visualizing-mnist-using-a-variational-autoencoder", "kernel_id": "714307"}, {"ref": "rvislaywade/keras-vggnet-like-cnn", "kernel_id": "720016"}, {"ref": "rvislaywade/keras-deep-mlp", "kernel_id": "719889"}, {"ref": "rvislaywade/keras-simple-cnn", "kernel_id": "719904"}, {"ref": "rvislaywade/keras-simple-mlp", "kernel_id": "719805"}, {"ref": "rvislaywade/keras-vggnet-like-cnn-w-augmented-data-0-99285", "kernel_id": "720273"}, {"ref": "ashmat98/main-py", "kernel_id": "216893"}, {"ref": "bingshen1990/notebook01d943e734", "kernel_id": "218053"}, {"ref": "yuchiwang/notebook2e1bbc6ced", "kernel_id": "218757"}, {"ref": "yuchiwang/notebookecb0c374de", "kernel_id": "218810"}, {"ref": "philchiago/notebook65e8f46389", "kernel_id": "219180"}, {"ref": "nicolasbatistoni/notebook14ac3a9441", "kernel_id": "247198"}, {"ref": "abac00s/digit-recognizer-with-tensorflow", "kernel_id": "341547"}, {"ref": "kmichael/notebook179fe60d97", "kernel_id": "230812"}, {"ref": "andrioderhackboy/notebooke2de583051", "kernel_id": "220414"}, {"ref": "yexiaogil/digital-recognizition", "kernel_id": "219169"}, {"ref": "salilkansal/keras-with-nn", "kernel_id": "228265"}, {"ref": "srlmayor/easy-neural-network-in-r-for-0-994", "kernel_id": "246515"}, {"ref": "allamtb/minit-dimensionality-reduction", "kernel_id": "239777"}, {"ref": "sharpever/notebookca1ac98df7", "kernel_id": "221664"}, {"ref": "camandmum22/first-notebook", "kernel_id": "229841"}, {"ref": "gregnetols/mnist-with-pca-and-knn", "kernel_id": "368210"}, {"ref": "djay100/notebook0ae73c9c9c", "kernel_id": "219092"}, {"ref": "djay100/notebook968ce9d9c0", "kernel_id": "221045"}, {"ref": "djay100/notebook8db8e898d5", "kernel_id": "227204"}, {"ref": "openjny/introduction-to-cnn-keras-forked", "kernel_id": "878258"}, {"ref": "openjny/first-kernel", "kernel_id": "877466"}, {"ref": "chr1sgq/deep-neural-network-keras-way", "kernel_id": "249567"}, {"ref": "ncarkaci/swish-beta", "kernel_id": "408958"}, {"ref": "guhaifudeng/notebooke8e1d756a0", "kernel_id": "237770"}, {"ref": "guhaifudeng/notebookcb0e1224a8", "kernel_id": "237773"}, {"ref": "chunghaojuan/notebook47e2e52711", "kernel_id": "219560"}, {"ref": "justbeatit/notebook5ce035c54e", "kernel_id": "219608"}, {"ref": "happywsw/notebook6c915b066a", "kernel_id": "237468"}, {"ref": "happywsw/svm-for-digit-reconnoiter", "kernel_id": "237503"}, {"ref": "okcing/notebook007041af45", "kernel_id": "221922"}, {"ref": "cfeitong/mnist", "kernel_id": "222026"}, {"ref": "cfeitong/mnist2", "kernel_id": "222029"}, {"ref": "cfeitong/notebook018adb718b", "kernel_id": "259648"}, {"ref": "paullu/deep-neural-network-keras-way-49cf83", "kernel_id": "225275"}, {"ref": "zi0i3xftd8m5/notebook965d3df05c", "kernel_id": "223373"}, {"ref": "lhitomi/notebook5e3c8a3d17", "kernel_id": "226659"}, {"ref": "hankpeng03/notebook-1", "kernel_id": "220934"}, {"ref": "ravithejab/deep-neural-network-keras-way", "kernel_id": "249518"}, {"ref": "lightdisappear/python-test-for-digit-recognizer", "kernel_id": "510423"}, {"ref": "leopoldhaller/notebook05e4d9274f", "kernel_id": "239563"}, {"ref": "xsfree/test-py", "kernel_id": "245189"}, {"ref": "lc2222/notebook706ec84222", "kernel_id": "236371"}, {"ref": "anshumanm19/aaaaa", "kernel_id": "221159"}, {"ref": "colinlindley/deep-neural-network-keras-way", "kernel_id": "257996"}, {"ref": "colinlindley/deep-neural-network-keras-way-dc96fb", "kernel_id": "258002"}, {"ref": "thunderflash/svm-for-mnist", "kernel_id": "255417"}, {"ref": "rizzsum/notebook03d920e581", "kernel_id": "246464"}, {"ref": "dongs0104/notebook0cfa839706", "kernel_id": "222126"}, {"ref": "prijindal/mnist-scoring", "kernel_id": "279662"}, {"ref": "prijindal/mnist-dataset", "kernel_id": "279655"}, {"ref": "muzammuilkhan10133/keras-cnn-with-over-99-accuracy", "kernel_id": "232839"}, {"ref": "cezaryszulc/sklearn-simple-neural-network", "kernel_id": "904800"}, {"ref": "nshokeen/notebookdbef5da7db", "kernel_id": "236382"}, {"ref": "nshokeen/notebook276e374044", "kernel_id": "236273"}, {"ref": "nshokeen/shokeen-digit-recognizer", "kernel_id": "238125"}, {"ref": "nshokeen/notebook6231678903", "kernel_id": "231348"}, {"ref": "nshokeen/notebook870d1ed993", "kernel_id": "231382"}, {"ref": "nshokeen/notebook98012f17f5", "kernel_id": "233704"}, {"ref": "nshokeen/notebook1c485ff578", "kernel_id": "243688"}, {"ref": "nshokeen/notebook898cfc2e2b", "kernel_id": "244512"}, {"ref": "nshokeen/notebooka465187463", "kernel_id": "246671"}, {"ref": "nshokeen/notebooke65cbdcfbf", "kernel_id": "228751"}, {"ref": "nshokeen/notebookc9600f28b1", "kernel_id": "222614"}, {"ref": "wonder991/notebook2d73791f1c", "kernel_id": "223637"}, {"ref": "wonder991/notebook111837f4aa", "kernel_id": "223638"}, {"ref": "wonder991/stage-1", "kernel_id": "224580"}, {"ref": "harshit886/deep-neural-network-keras-way-3ac8c1", "kernel_id": "224953"}, {"ref": "b04202048/mnist-with-sklearn-rbm", "kernel_id": "247294"}, {"ref": "b04202048/deep-neural-network-keras-way", "kernel_id": "246595"}, {"ref": "hosinprime/a-beginner-s-approach-to-classification-35e708", "kernel_id": "237973"}, {"ref": "mzr2017/deep-neural-network-keras-way-7e1cf5", "kernel_id": "237820"}, {"ref": "mzr2017/notebook54767cbba3", "kernel_id": "232297"}, {"ref": "giacnott/notebook566549b966", "kernel_id": "223672"}, {"ref": "giacnott/notebook52eb858463", "kernel_id": "223673"}, {"ref": "akashdeepjassal/cnn-using-keras", "kernel_id": "247694"}, {"ref": "milindpawar/notebooke3259689fd", "kernel_id": "271979"}, {"ref": "susomena/mnist-with-lenet-5", "kernel_id": "232385"}, {"ref": "deardanielxd/digit-recognizer-in-python-using-cnn", "kernel_id": "224897"}, {"ref": "vishwa84012/notebookd182f68822", "kernel_id": "260177"}, {"ref": "catding/notebook1e99d57291", "kernel_id": "224976"}, {"ref": "ghulamrasool/notebooka67ccd4128", "kernel_id": "243256"}, {"ref": "sdduchao/deep-neural-network-keras-way-c0ee33", "kernel_id": "238774"}, {"ref": "actright/notebooka8f98d78ff", "kernel_id": "225475"}, {"ref": "conn2017/model2", "kernel_id": "226640"}, {"ref": "conn2017/notebookdf6e145401", "kernel_id": "226604"}, {"ref": "conn2017/notebook0730366ae6", "kernel_id": "226512"}, {"ref": "risyou/notebookfdb6847369", "kernel_id": "268976"}, {"ref": "risyou/nn-with-less-library-as-i-can-up-to-97", "kernel_id": "287966"}, {"ref": "toshi0607/notebookc785db71b7", "kernel_id": "227012"}, {"ref": "vikasvikkyd/digit-recognizer", "kernel_id": "633819"}, {"ref": "aqwis01/simple-deep-mlp-with-keras77", "kernel_id": "261384"}, {"ref": "muralie/notebooka957e5abff", "kernel_id": "244888"}, {"ref": "muralie/notebook14f2316c97", "kernel_id": "251793"}, {"ref": "deschanel/notebookc77a387f26", "kernel_id": "230280"}, {"ref": "dm1x4y10/digit-recognizer", "kernel_id": "226478"}, {"ref": "jsyqrt/kaggle-mnist-writeup-by-jason", "kernel_id": "226757"}, {"ref": "jsyqrt/nothing-just-a-test", "kernel_id": "226668"}, {"ref": "wangruoyu/notebookc7b1c815ab", "kernel_id": "226814"}, {"ref": "sanarafiq/assignment2-im-l", "kernel_id": "244115"}, {"ref": "sanarafiq/notebookf70e96aca3", "kernel_id": "245590"}, {"ref": "gourangamath/gouranga-google-quest-q-a-labelling", "kernel_id": "246253"}, {"ref": "inesja/digit-recognition-trying-neural-networks", "kernel_id": "237418"}, {"ref": "inesja/first-neural-network-for-digit-recognition", "kernel_id": "235960"}, {"ref": "inesja/digit-recognition-using-neural-network", "kernel_id": "235970"}, {"ref": "milano88/firstscript", "kernel_id": "227430"}, {"ref": "omkar25/digit-recognition", "kernel_id": "415560"}, {"ref": "germaingau/notebookb164857f5c", "kernel_id": "241440"}, {"ref": "germaingau/notebooka83fc19042", "kernel_id": "242074"}, {"ref": "biexingle/notebookafbc0a124f", "kernel_id": "228444"}, {"ref": "kakaisgrom/notebookf6b147ab53", "kernel_id": "248503"}, {"ref": "huangqizhen/notebookb8b5e08346", "kernel_id": "232829"}, {"ref": "huangqizhen/test1", "kernel_id": "232831"}, {"ref": "rachelyou/notebook4d486e91fc", "kernel_id": "238714"}, {"ref": "rachelyou/digital-recognizer", "kernel_id": "233829"}, {"ref": "rachelyou/fork-of-digital-recognizer-simulated-annealing", "kernel_id": "245623"}, {"ref": "rachelyou/fork-of-digital-recognizer-nelder-mead", "kernel_id": "245198"}, {"ref": "dbbbit/tensorflow-digit-recognizer", "kernel_id": "266105"}, {"ref": "dalematthews/notebook1aaa7b73eb", "kernel_id": "228953"}, {"ref": "magzhan161m/logistic-regression", "kernel_id": "264660"}, {"ref": "shinyming/test1", "kernel_id": "229404"}, {"ref": "alepacheco/mnist-convolutional-99-0", "kernel_id": "280977"}, {"ref": "anandaribeiro/python-simple-neural-network", "kernel_id": "979870"}, {"ref": "xinshu/notebook78a3addada", "kernel_id": "233604"}, {"ref": "billdavidzyb/notebook19cb3944ac", "kernel_id": "265371"}, {"ref": "nadroj21/notebookee01926267", "kernel_id": "229950"}, {"ref": "chinki/digit-recognizer-random-forest", "kernel_id": "284326"}, {"ref": "tesar2/mnist", "kernel_id": "233140"}, {"ref": "aurelienbl/mean-and-var-exploration-for-the-digits-dataset", "kernel_id": "266712"}, {"ref": "aurelienbl/2-layer-nn-for-the-digits-recognition-97", "kernel_id": "270380"}, {"ref": "aurelienbl/hand-made-cnn-98", "kernel_id": "288087"}, {"ref": "waynechen/digit-recog1", "kernel_id": "279517"}, {"ref": "linxinzhe/keras-cnn-digital-recognition", "kernel_id": "352665"}, {"ref": "dkleikesa/notebookffc3a7f3a3", "kernel_id": "235626"}, {"ref": "xbldev/my-first-notebook-for-mnist-competition", "kernel_id": "232680"}, {"ref": "cpattekar/notebook-for-digits-recognizer", "kernel_id": "239949"}, {"ref": "cpattekar/notebook4db0c85233", "kernel_id": "239946"}, {"ref": "vlionet/notebook7cbc735b17", "kernel_id": "233668"}, {"ref": "vlionet/cnn-by-tensorl", "kernel_id": "233672"}, {"ref": "siddhesh7/digit-recognizer-in-python-using-cnn", "kernel_id": "239115"}, {"ref": "matianjun1/simple-neural-network-sigmoid-and-softmax", "kernel_id": "275215"}, {"ref": "matianjun1/notebook77657b8462", "kernel_id": "275219"}, {"ref": "duttan/notebook6debd6be50", "kernel_id": "231645"}, {"ref": "xiang12383/just-a-test", "kernel_id": "233471"}, {"ref": "harmanpreet93/digit-recognizer-mnist", "kernel_id": "374216"}, {"ref": "harmanpreet93/mnist-using-nn", "kernel_id": "375571"}, {"ref": "neerajg/first-digits-classifier", "kernel_id": "232123"}, {"ref": "vichuinweb/notebook9d83b39ae3", "kernel_id": "464802"}, {"ref": "vichuinweb/notebook5ee8d0b120", "kernel_id": "464810"}, {"ref": "klcopp/ren-s-digit-identifier", "kernel_id": "404688"}, {"ref": "klcopp/ren-s-digit-identifier-20", "kernel_id": "422030"}, {"ref": "hungryarie/notebookac6c0c5864", "kernel_id": "249982"}, {"ref": "oneonezero/first-try-on-a-kaggle-competition-digits", "kernel_id": "340764"}, {"ref": "aidenaiden/notebook079b95c988", "kernel_id": "233639"}, {"ref": "aidenaiden/notebookaea29b33ab", "kernel_id": "243062"}, {"ref": "coderchris/testing", "kernel_id": "233408"}, {"ref": "scaleout/tensorflow-deep-nn", "kernel_id": "252122"}, {"ref": "atractor/keras-cnn-with-over-99-accuracy", "kernel_id": "233738"}, {"ref": "atractor/mnist-4f2e9b", "kernel_id": "234339"}, {"ref": "atractor/minst-tensorflow-py", "kernel_id": "318221"}, {"ref": "dataqi/notebookd36f35cb1c", "kernel_id": "236143"}, {"ref": "lukehan/notebook32d757e2ca", "kernel_id": "233929"}, {"ref": "rafalb/simply-keras-mlp-model", "kernel_id": "722099"}, {"ref": "nasdaqhe/notebooka9a60a7c32", "kernel_id": "237369"}, {"ref": "nasdaqhe/notebook1dc4ff9a56", "kernel_id": "237372"}, {"ref": "bubu123/notebook9561af8000", "kernel_id": "234437"}, {"ref": "mattfontana02/notebook3a2413fb7d", "kernel_id": "248968"}, {"ref": "bogikidd/build-digit-recognizer-with-tensorflow-cnn", "kernel_id": "546585"}, {"ref": "kamdongyun/notebookc47719a6d1", "kernel_id": "234979"}, {"ref": "justontheway/learning-tensorflow-deep-nn-b7c40c", "kernel_id": "261728"}, {"ref": "alianse77/keras-conv2d-model-adapted", "kernel_id": "238979"}, {"ref": "sriyam/digit-recognizer-in-python-using-cnn", "kernel_id": "237040"}, {"ref": "gsk694/resnet50-resnet101", "kernel_id": "924957"}, {"ref": "mitin001/notebook2b959179dc", "kernel_id": "237022"}, {"ref": "scotteven/test01", "kernel_id": "254177"}, {"ref": "krishnkant/notebook75bb2b08bf", "kernel_id": "277882"}, {"ref": "greatpxk1/notebookaceda4ceec", "kernel_id": "237239"}, {"ref": "zbasper/notebookcca1018482", "kernel_id": "238610"}, {"ref": "zbasper/test-for-digitrec", "kernel_id": "240226"}, {"ref": "jinhokim79/notebook47d5c2d072", "kernel_id": "248662"}, {"ref": "sforsyth6/digitz", "kernel_id": "326821"}, {"ref": "zj040045/svm-method", "kernel_id": "239856"}, {"ref": "zj040045/notebookb753c518e4", "kernel_id": "239858"}, {"ref": "bhoflack/notebook8d5aa761cd", "kernel_id": "238194"}, {"ref": "metzneca/classify-digits-with-svm-mlp", "kernel_id": "282539"}, {"ref": "skeate/notebook71db0c717d", "kernel_id": "238549"}, {"ref": "harish777/digit-recognition-cnn-svc-k-nn", "kernel_id": "247949"}, {"ref": "kunald216/digit", "kernel_id": "238838"}, {"ref": "kunald216/digitreco", "kernel_id": "239239"}, {"ref": "kunald216/digit-recognizer", "kernel_id": "239252"}, {"ref": "dongchangzuo/digit-recognition-cnn-svc-k-nn-37de3f", "kernel_id": "249446"}, {"ref": "mambosteve/digit-recognition-whs-ki", "kernel_id": "239091"}, {"ref": "escoban1/notebook189ff2fa5a", "kernel_id": "238985"}, {"ref": "amiedon/notebook3e54590acf", "kernel_id": "239906"}, {"ref": "aljannico/adapted-mnist-intro-example-from-tensorflow", "kernel_id": "243884"}, {"ref": "aljannico/kernel-solving-blatt-2-ki-wh-gelsenkirchen", "kernel_id": "244086"}, {"ref": "david97/notebook99f2fc7337", "kernel_id": "239120"}, {"ref": "qw19911991/notebook9fb74a2000", "kernel_id": "241351"}, {"ref": "qw19911991/notebookc14f9629e3", "kernel_id": "241346"}, {"ref": "xencox/digit-recognizer", "kernel_id": "239204"}, {"ref": "xencox/svc-94", "kernel_id": "252669"}, {"ref": "fantasyzwj/notebook950a469932", "kernel_id": "240294"}, {"ref": "fantasyzwj/test2", "kernel_id": "240301"}, {"ref": "plashchanski/notebookdd8c73ef46", "kernel_id": "239830"}, {"ref": "kennywong/notebookec7e1677e2", "kernel_id": "246833"}, {"ref": "randomshinichi/notebook631f772d50", "kernel_id": "240046"}, {"ref": "randomshinichi/notebook2e074a8bec", "kernel_id": "240071"}, {"ref": "shatiel/practicing-playing-with-mnist-decision-tree", "kernel_id": "919352"}, {"ref": "sumeetrajpal/mnist-py", "kernel_id": "256838"}, {"ref": "sumeetrajpal/mnist", "kernel_id": "256787"}, {"ref": "mendax29/notebookefd81a2498", "kernel_id": "270651"}, {"ref": "olcina/notebook008fb76cf6", "kernel_id": "260731"}, {"ref": "datty94/notebookb0f9ba66c2", "kernel_id": "242205"}, {"ref": "sijiangdu/notebook06439f2ced", "kernel_id": "260056"}, {"ref": "ayushi2/handwritten-digits-svm", "kernel_id": "433290"}, {"ref": "ayushi2/tensorflow-feedforward-neural-nets", "kernel_id": "713885"}, {"ref": "wojwoj/notebookec2d435bcc", "kernel_id": "246346"}, {"ref": "wojwoj/notebooka624e9e633", "kernel_id": "246341"}, {"ref": "xuxixi/notebookabbd63074f", "kernel_id": "241096"}, {"ref": "annikat/a-beginner-s-approach-to-classification", "kernel_id": "241250"}, {"ref": "kozistr/0-99757-lb-top-4-with-keras", "kernel_id": "385649"}, {"ref": "zkwkaggle/notebook620ced371c", "kernel_id": "242120"}, {"ref": "muhammadaziz/notebook245e145023", "kernel_id": "242048"}, {"ref": "dennisy/notebookd816013653", "kernel_id": "242438"}, {"ref": "newhardwarefound/notebookaca193a738", "kernel_id": "243369"}, {"ref": "newhardwarefound/artificial-neural-network", "kernel_id": "260885"}, {"ref": "yosisyo2/notebook3d5aaa16c1", "kernel_id": "244280"}, {"ref": "yosisyo2/test0000", "kernel_id": "243580"}, {"ref": "yutaonupt/notebooka29e1d124f", "kernel_id": "243707"}, {"ref": "mvincent/digit-recognizer-sample", "kernel_id": "280098"}, {"ref": "lexotrion/notebook8e08952a67", "kernel_id": "244054"}, {"ref": "lexotrion/mnist-for-ml-beginners", "kernel_id": "244055"}, {"ref": "maratzakirov/myfirstscript", "kernel_id": "243944"}, {"ref": "maratzakirov/mnist-notebook", "kernel_id": "243955"}, {"ref": "yoshiyukiito/interactive-intro-to-dimensionality-reduction", "kernel_id": "274075"}, {"ref": "robert8000/pytorch-sample", "kernel_id": "277755"}, {"ref": "ballxu/notebookd0840603a6", "kernel_id": "269440"}, {"ref": "diogoarantes/notebookc183b24301", "kernel_id": "273584"}, {"ref": "rafapia/main-py", "kernel_id": "245606"}, {"ref": "chientien/mnist-pca-nmf-lda-t-sne", "kernel_id": "319886"}, {"ref": "zjuxxd/notebookff57056807", "kernel_id": "246759"}, {"ref": "meownoid/tiny-resnet-with-keras-99-314", "kernel_id": "245752"}, {"ref": "scranney/digit-recognizer", "kernel_id": "247726"}, {"ref": "scranney/basic-mnist-prediction-using-neural-networks", "kernel_id": "247728"}, {"ref": "scranney/mnist-bare-bones-random-forest", "kernel_id": "271809"}, {"ref": "pranavp1/decision-tree", "kernel_id": "245929"}, {"ref": "jrw2252/notebook78f1c2474e", "kernel_id": "251763"}, {"ref": "sschafer/simple-keras-implementation-for-mnist-data", "kernel_id": "247175"}, {"ref": "eoinokeeffe/welcome-to-deep-learning-cnn-99", "kernel_id": "248228"}, {"ref": "jhsong/notebook6590dc5f82", "kernel_id": "279717"}, {"ref": "wikkefly/notebook2698349408", "kernel_id": "256508"}, {"ref": "shujisuzuki65/digit-recognizer-with-svm", "kernel_id": "248643"}, {"ref": "shujisuzuki65/classify-with-svm", "kernel_id": "248659"}, {"ref": "yeonjae/digit-recognizer-in-python-using-cnn", "kernel_id": "257694"}, {"ref": "lnguyen93/notebook551bfecf06", "kernel_id": "248995"}, {"ref": "apetitje/deep-neural-network-keras-way", "kernel_id": "251106"}, {"ref": "apetitje/notebookcbfacc5d1e", "kernel_id": "250083"}, {"ref": "apetitje/notebookf907984e2a", "kernel_id": "250085"}, {"ref": "tongdonglei/skicit-learn-pca-svm", "kernel_id": "277140"}, {"ref": "tongdonglei/mxnet-cnn", "kernel_id": "277367"}, {"ref": "yizibai/notebook5b27fbdc26", "kernel_id": "271543"}, {"ref": "yizibai/shouxie", "kernel_id": "271112"}, {"ref": "rogarm13/digit-recogniser", "kernel_id": "254008"}, {"ref": "vonuniko/wepo-s-code-for-mnist", "kernel_id": "252159"}, {"ref": "subraminion/deep-nn-mnist-attempt-1", "kernel_id": "567554"}, {"ref": "jiexus/tensorflow-deep-nn", "kernel_id": "276937"}, {"ref": "jiexus/cnn-with-tensorflow", "kernel_id": "276402"}, {"ref": "cassiomo/tensorflow-deep-nn", "kernel_id": "268010"}, {"ref": "nafisur/mnist-with-cnn", "kernel_id": "894779"}, {"ref": "nafisur/nr-mnist-functional-api", "kernel_id": "985392"}, {"ref": "ngxbac/digit-recognition-using-annoy", "kernel_id": "860929"}, {"ref": "phigasui/cnn-keras", "kernel_id": "723822"}, {"ref": "jaredwelch1/tensorflow-deep-nn-fork", "kernel_id": "264458"}, {"ref": "faer08/98-with-image-preprocessing-pca-and-svm", "kernel_id": "253334"}, {"ref": "peteryuming/randomforestfordigits", "kernel_id": "981574"}, {"ref": "rbotarleanu/conv2d-mnist-experiments", "kernel_id": "389359"}, {"ref": "laurentddw/notebookb5f02d4ff5", "kernel_id": "254411"}, {"ref": "laurentddw/notebook01d55f1a7c", "kernel_id": "254412"}, {"ref": "jinilcs/dimensionality-reduction-pca-nmf-t-sne", "kernel_id": "317486"}, {"ref": "lenabartell/a-beginner-s-approach-to-classification-ea5bc4", "kernel_id": "254131"}, {"ref": "zyh2015011372/tensorflow-deep-nn", "kernel_id": "275112"}, {"ref": "hilldi/nn-digit-recognizer", "kernel_id": "254485"}, {"ref": "liuchaofei/notebook8ca410f82a", "kernel_id": "255197"}, {"ref": "madhu367/madhu-s-digit-recognizer-perceptron", "kernel_id": "986925"}, {"ref": "captainjaneway/experiment-with-mnist", "kernel_id": "284034"}, {"ref": "sunny1423/test1234", "kernel_id": "256068"}, {"ref": "shivank98/mnist-svm", "kernel_id": "399680"}, {"ref": "sangeevs/basic-digit-recognition-using-cnn-in-keras", "kernel_id": "382052"}, {"ref": "nimodo/notebook9684279991", "kernel_id": "279721"}, {"ref": "barzilay/alan-e-thi-machine-learning", "kernel_id": "257219"}, {"ref": "sahilbansal27/ml-assignment-2-sahil-bansal-14b00086", "kernel_id": "257571"}, {"ref": "shubham808/deep-neural-network-keras-way", "kernel_id": "271737"}, {"ref": "li88394061/notebook676cbe7ec8", "kernel_id": "269080"}, {"ref": "nellytcu/onevsrestclassifier", "kernel_id": "279665"}, {"ref": "appsyoon/mnist-capsnet-tensorflow-exploration", "kernel_id": "853362"}, {"ref": "tuxiaokang/notebookaabecf11bd", "kernel_id": "268139"}, {"ref": "mahoro/deep-neural-network-keras-way", "kernel_id": "260237"}, {"ref": "reiko717/notebook2491ee70df", "kernel_id": "262089"}, {"ref": "reiko717/notebook1f8628d105", "kernel_id": "262087"}, {"ref": "reiko717/notebook51516f38c8", "kernel_id": "262078"}, {"ref": "deokateamber/random-forest-benchmark", "kernel_id": "260175"}, {"ref": "anveshv/keras-tensorflow-sgd-99-32", "kernel_id": "688501"}, {"ref": "keithwm/tensorflow-deep-nn", "kernel_id": "260358"}, {"ref": "juanumusic/simple-and-straightforward-keras-nn", "kernel_id": "412594"}, {"ref": "liaoweicong/mnist-with-tensorflow-lenet-5-architecture", "kernel_id": "277201"}, {"ref": "amanjalan1997/kernel5ab513fb15", "kernel_id": "627336"}, {"ref": "dersonluis/deep-neural-network-keras-way", "kernel_id": "263107"}, {"ref": "s9778409/notebook9cc28c2421", "kernel_id": "261631"}, {"ref": "kaustubholpadkar/digit-recognizer-dnn", "kernel_id": "547340"}, {"ref": "kaustubholpadkar/digit-recognizer-cnn2", "kernel_id": "547744"}, {"ref": "kaustubholpadkar/digit-recognizer-cnn1-2", "kernel_id": "547689"}, {"ref": "gillesdek/test-1", "kernel_id": "329869"}, {"ref": "tieralee/a-beginner-s-approach-to-classification", "kernel_id": "262338"}, {"ref": "thetabor/neural-nets-from-scratch-sorta-kinda", "kernel_id": "482969"}, {"ref": "villoro/cnn-with-tensorflow-accuracy-99", "kernel_id": "279619"}, {"ref": "villoro/cnn-with-tensorflow-dlfn-udacity", "kernel_id": "279623"}, {"ref": "nnair25/digit-recognizer", "kernel_id": "319613"}, {"ref": "jp3t14/digit-recognizer1", "kernel_id": "264468"}, {"ref": "anshulswarup/digit-recognizer-program", "kernel_id": "272258"}, {"ref": "tingtingdan/digit-recognizer", "kernel_id": "299363"}, {"ref": "sindresf/a-beginner-s-approach-to-classification", "kernel_id": "268269"}, {"ref": "rakeshbute/notebookadae352656", "kernel_id": "268287"}, {"ref": "panxiong/digit-recognizer-in-python-using-cnn", "kernel_id": "274458"}, {"ref": "lingbao/mnist-test", "kernel_id": "264984"}, {"ref": "sharanyalburgi/cnn-dropout1", "kernel_id": "315783"}, {"ref": "sharanyalburgi/cnn-dropout", "kernel_id": "315510"}, {"ref": "sharanyalburgi/cnn-vanilla", "kernel_id": "314969"}, {"ref": "iamvk7/digit-recognizer-mlp-classifier", "kernel_id": "735992"}, {"ref": "yaseenahmed988/digit-detection-python", "kernel_id": "269288"}, {"ref": "qasminadeem/1st-iteration-leaning-purpose", "kernel_id": "269009"}, {"ref": "danielburrueco/self-learning-series-neural-networks-with-nnet", "kernel_id": "317081"}, {"ref": "runninglsy/keras-mnist", "kernel_id": "266269"}, {"ref": "kozhabekovakniyet/logistic-regression", "kernel_id": "266790"}, {"ref": "kozhabekovakniyet/digit-recognizer-in-python-using-cnn", "kernel_id": "266775"}, {"ref": "thatsrich/simple-neural-net-with-mnist", "kernel_id": "270774"}, {"ref": "chaotic1988/hello", "kernel_id": "267203"}, {"ref": "pietruszka/notebookc15acbaaf7", "kernel_id": "270061"}, {"ref": "pietruszka/deep-neural-network-keras-way", "kernel_id": "269943"}, {"ref": "pietruszka/simple-deep-mlp-with-keras", "kernel_id": "269965"}, {"ref": "pietruszka/a-beginner-s-approach-to-classification", "kernel_id": "269372"}, {"ref": "gaurav9297/digit-recog", "kernel_id": "275139"}, {"ref": "gaurav9297/digit-recognition-using-simple-knn", "kernel_id": "280236"}, {"ref": "amthon/tensorflow-dnn", "kernel_id": "270684"}, {"ref": "zbayraktar/mnist-digit-classification-via-keras-cnn", "kernel_id": "682124"}, {"ref": "zbayraktar/mnist-classification-via-keras-fc-nn", "kernel_id": "668479"}, {"ref": "namssan/notebookf2d26e4718", "kernel_id": "271127"}, {"ref": "gaurav39/digit-recognition-using-randomforest", "kernel_id": "613971"}, {"ref": "gaurav39/digit-reconition-neural-network", "kernel_id": "742442"}, {"ref": "aoeiuv020/first-test", "kernel_id": "268248"}, {"ref": "aoeiuv020/first-notebook-test", "kernel_id": "268334"}, {"ref": "elkanathegreat/notebookeffedb9586", "kernel_id": "519612"}, {"ref": "karthik7395/cnn-modular-approach-tensorflow", "kernel_id": "392149"}, {"ref": "railgun/my-first-and-simplest-approach-trial", "kernel_id": "366772"}, {"ref": "mamichoco/interactive-intro-to-dimensionality-reduction", "kernel_id": "270837"}, {"ref": "rodrigokaggle/digit-recognizer-in-python-using-cnn", "kernel_id": "269551"}, {"ref": "awszelaka/notebookf5557c4b3c", "kernel_id": "269277"}, {"ref": "sarashahzad/randomforest-model", "kernel_id": "269331"}, {"ref": "xingke1116/knn-benchmark-with-96-7-accuracy", "kernel_id": "270013"}, {"ref": "jakubwaller/tensorflow-deep-nn", "kernel_id": "270846"}, {"ref": "chenjinnan/fork-version", "kernel_id": "365652"}, {"ref": "chenjinnan/ninechapter-knn-sklearn", "kernel_id": "410519"}, {"ref": "sunmiyoon/a-beginner-s-approach-to-computer-vision", "kernel_id": "708816"}, {"ref": "dkota1992/notebook10877269b6", "kernel_id": "273662"}, {"ref": "artmario/primeirarede", "kernel_id": "279322"}, {"ref": "gaotianyu1350/gtynet", "kernel_id": "271900"}, {"ref": "fengzhihui/interactive-intro-to-dimensionality-reduction", "kernel_id": "278793"}, {"ref": "onlyshadow/deep-learning-cnn-with-keras-explanation", "kernel_id": "328317"}, {"ref": "gardarandri/my-first-test", "kernel_id": "272747"}, {"ref": "ruanning/cnn-mnist", "kernel_id": "272914"}, {"ref": "sanginchun/mnist-lenet", "kernel_id": "276740"}, {"ref": "sanginchun/mnist-using-cnn-lenet-5-model", "kernel_id": "350877"}, {"ref": "rishabhshah/deep-neural-network-keras-way-d58119", "kernel_id": "278803"}, {"ref": "rishabhshah/deep-neural-network-keras-way-3c8f1a", "kernel_id": "278744"}, {"ref": "rishabhshah/deep-neural-network-keras-way-d1b859", "kernel_id": "278429"}, {"ref": "rishabhshah/deep-neural-network-keras-way", "kernel_id": "276763"}, {"ref": "wangkechun/notebook1054bf83fb", "kernel_id": "273957"}, {"ref": "wangkechun/a-beginner-s-approach-to-classification", "kernel_id": "274506"}, {"ref": "kenlicontact/fork-of-a-beginner-s-approach-to-classifica-39d50a", "kernel_id": "279569"}, {"ref": "kenlicontact/a-beginner-s-approach-to-classification-a62494", "kernel_id": "279317"}, {"ref": "kenlicontact/digit-recognizer-trained-with-more-data-v0-2", "kernel_id": "280377"}, {"ref": "kenlicontact/digit-recognizer-gradientboostingclassifier", "kernel_id": "280492"}, {"ref": "kenlicontact/digit-recognizer-trained-with-more-data", "kernel_id": "280149"}, {"ref": "binfengjia/notebook4ebd4c98f2", "kernel_id": "277292"}, {"ref": "mskrajnowski/notebook4834540e5b", "kernel_id": "275277"}, {"ref": "ramadugugowtham/simple-python-digit-recogniser-code", "kernel_id": "737543"}, {"ref": "evjrob/keras-cnn-for-the-mnist-dataset", "kernel_id": "537354"}, {"ref": "gullesnuffs/simpletest", "kernel_id": "277134"}, {"ref": "gullesnuffs/notebookf9dee7bef6", "kernel_id": "277109"}, {"ref": "fishbob/svm-with-pca-as-dimensionality-reduction-methods", "kernel_id": "319979"}, {"ref": "fishbob/svm-with-pca-as-dimensionality-reduction-method", "kernel_id": "319975"}, {"ref": "zhao857133608/a-beginner-s-approach-to-classification", "kernel_id": "335353"}, {"ref": "silenove/tensorflow-cnn", "kernel_id": "291978"}, {"ref": "erenst/test-ml", "kernel_id": "277548"}, {"ref": "musashisato/a-beginner-s-approach-to-classification", "kernel_id": "278391"}, {"ref": "waltyou/tensorflow-deep-nn-804426", "kernel_id": "279552"}, {"ref": "waltyou/first-notebook", "kernel_id": "280168"}, {"ref": "metasong/notebooke62f81230f", "kernel_id": "279421"}, {"ref": "amstuta/simple-k-nearest-neighbours-in-python", "kernel_id": "281331"}, {"ref": "jzp2015011259/test-1", "kernel_id": "280343"}, {"ref": "andusto/notebook4198fd6c1e", "kernel_id": "280789"}, {"ref": "sorzhe/neural-networks", "kernel_id": "434861"}, {"ref": "sorzhe/tensorflow-deep-neural-network", "kernel_id": "434490"}, {"ref": "andreimouraviev/nothing-to-see-here", "kernel_id": "352540"}, {"ref": "andreimouraviev/mnist-convnet-w-online-data-augmentation", "kernel_id": "397478"}, {"ref": "zbpvarun/pca-random-forests", "kernel_id": "282234"}, {"ref": "meenakshisundaram97/digit-recog", "kernel_id": "287093"}, {"ref": "legomushroom/digit-recognizer", "kernel_id": "344025"}, {"ref": "wzdark/cnn-for-digit-recognizer", "kernel_id": "292829"}, {"ref": "golugolu/high-dimentionality-reduction-and-clustering", "kernel_id": "298748"}, {"ref": "jrouhana/digit-recognizer-using-t-sne-into-svm", "kernel_id": "370936"}, {"ref": "binayc/testtensor", "kernel_id": "840498"}, {"ref": "shervini/notebook-f1", "kernel_id": "317158"}, {"ref": "patilaum/simple-cnn-batchnormalization-99-071", "kernel_id": "522675"}, {"ref": "stefanhans/a-beginner-s-approach-to-classification", "kernel_id": "376016"}, {"ref": "yakolle/cnn-with-boost", "kernel_id": "417782"}, {"ref": "pmmilewski/pca-decomposition-and-keras-neural-network", "kernel_id": "390367"}, {"ref": "rembertmagri/digit-recognizer-notebook-python", "kernel_id": "347055"}, {"ref": "gokul0803/notebook250290f0c7", "kernel_id": "332628"}, {"ref": "flacout/applying-your-classifier-to-real-images", "kernel_id": "311112"}, {"ref": "shahariar/keras-swish-activation-acc-0-996-top-7", "kernel_id": "407878"}, {"ref": "suchith0312/convolutional-neural-network-0-99542", "kernel_id": "546398"}, {"ref": "xirlomachine/handwritten-digit-recognizer", "kernel_id": "332911"}, {"ref": "cgundlach/mnist-with-simple-keras-cnn", "kernel_id": "728733"}, {"ref": "mtax687/a-simple-nerual-network-to-digit-reco-using-tf", "kernel_id": "362266"}, {"ref": "rskn1987/digit-recognizer-code", "kernel_id": "312961"}, {"ref": "matteovaghi/simple-deep-mlp-with-keras", "kernel_id": "300846"}, {"ref": "matteovaghi/digitrecon", "kernel_id": "300850"}, {"ref": "avicode/avibook-digit-recognizer", "kernel_id": "367090"}, {"ref": "willtkaufhold/dimensionality-reduction-and-embedding", "kernel_id": "349222"}, {"ref": "kairos03/basic-cnn", "kernel_id": "383629"}, {"ref": "ancientaxe/simple-tensorflow", "kernel_id": "448438"}, {"ref": "ancientaxe/understanding-convolution", "kernel_id": "493125"}, {"ref": "kanncaa1/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "991754"}, {"ref": "kanncaa1/recurrent-neural-network-with-pytorch", "kernel_id": "991905"}, {"ref": "yassineghouzam/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "314247"}, {"ref": "asmaaeltaher/digit-recognizer", "kernel_id": "673806"}, {"ref": "as3asddd/interactive-intro-to-dimensionality-reducti-ec8086", "kernel_id": "305931"}, {"ref": "jf2333/digit-recognizer-first-try", "kernel_id": "530644"}, {"ref": "codeastar/fast-and-easy-cnn-for-starters-in-keras-0-99471", "kernel_id": "594887"}, {"ref": "codeastar/visualize-a-cnn", "kernel_id": "634388"}, {"ref": "jayeshrane2107/mnist-for-ml-beginners", "kernel_id": "378737"}, {"ref": "sahilrider/deep-nn-using-keras", "kernel_id": "506353"}, {"ref": "feixianhu/digitrecognizer-cnn-with-keras", "kernel_id": "435646"}, {"ref": "feixianhu/digitrecognizer-svm-knn-rf", "kernel_id": "431707"}, {"ref": "optnio00/notebookfac30381cc", "kernel_id": "359029"}, {"ref": "chrundle/digit-recognizer-using-a-basic-cnn-template", "kernel_id": "392147"}, {"ref": "jainrashi2804/notebookf85f7c35bc", "kernel_id": "457696"}, {"ref": "rockyzhao/mnist-dl-demo", "kernel_id": "851303"}, {"ref": "manojvijayan/random-forest-and-neural-network-model-samples", "kernel_id": "390286"}, {"ref": "indreshrock/digit-recognizer-using-randomforest", "kernel_id": "319938"}, {"ref": "adithyakag/randomforestmnistdigit", "kernel_id": "674824"}, {"ref": "adithyakag/decisiontreemnistdigit", "kernel_id": "674619"}, {"ref": "adithyakag/knearestneighbours-mnist-digit", "kernel_id": "670078"}, {"ref": "adithyakag/svmmnistdigit", "kernel_id": "670089"}, {"ref": "adithyakag/naive-bayes-mnist-digit", "kernel_id": "670250"}, {"ref": "adithyakag/kernelsvm-mnist-digit", "kernel_id": "670118"}, {"ref": "adithyakag/logstic-regression-mnist-digit", "kernel_id": "667392"}, {"ref": "ndalziel/beginner-s-guide-to-classification-tensorflow", "kernel_id": "398421"}, {"ref": "ndalziel/beginner-s-guide-to-image-classification-keras", "kernel_id": "397061"}, {"ref": "amitkvikram/digit-recognizer-using-pca-logistic-and-svm", "kernel_id": "504337"}, {"ref": "harlanhong/notebookdae7bf20a0", "kernel_id": "319796"}, {"ref": "a529261027/easy-cnn-tesnorflow-over-98", "kernel_id": "320267"}, {"ref": "adityasinghce92/digit-recognizer-using-knn", "kernel_id": "485453"}, {"ref": "adityasinghce92/simple-neural-network-using-tensorflow", "kernel_id": "519511"}, {"ref": "adityasinghce92/rnn-using-tensorflow", "kernel_id": "526949"}, {"ref": "hansy822/mnist-classification-hsy", "kernel_id": "319958"}, {"ref": "drouholi/mnist-mlp", "kernel_id": "674709"}, {"ref": "konstadinosm/replicating-capsulenet-results-on-mnist", "kernel_id": "676236"}, {"ref": "weiyecheng/tensorflow-deep-nn", "kernel_id": "323652"}, {"ref": "tushar97/cnn-on-mnist-dataset", "kernel_id": "743235"}, {"ref": "jamesdhope/recurrent-neural-net-for-mnist-competition", "kernel_id": "324145"}, {"ref": "zionic/interactive-intro-to-dimensionality-reduction", "kernel_id": "354789"}, {"ref": "sheshitkarthikeya/digit-recognizer-problem-using-svm", "kernel_id": "508434"}, {"ref": "adodd202/first-notebook-first-image-classifier-with-tf", "kernel_id": "408210"}, {"ref": "dstewart207/mnist-challenge-tensorflow-dnn", "kernel_id": "334793"}, {"ref": "avikpal/cnn-for-handwriting-recognition", "kernel_id": "500435"}, {"ref": "mmmmmmz/keras-cnn-inspired-by-lenet-5", "kernel_id": "326985"}, {"ref": "gaelhuser/nn-from-scratch-with-some-visualizations", "kernel_id": "343060"}, {"ref": "dromosys/mnist-keras-cnn-v4", "kernel_id": "346151"}, {"ref": "dromosys/mnist-keras-cnn-v3", "kernel_id": "345310"}, {"ref": "dromosys/mnist-keras-cnn-bnorm", "kernel_id": "344933"}, {"ref": "sunnynevarekar/digit-recognizer-with-keras-fully-connected-nn", "kernel_id": "395266"}, {"ref": "sunnynevarekar/digit-recognizer-using-svm", "kernel_id": "381525"}, {"ref": "sunnynevarekar/logistic-regression-digit-recogniser-tensorflow", "kernel_id": "591173"}, {"ref": "reppic/simple-cnn-in-python-99", "kernel_id": "476859"}, {"ref": "soumikrakshit/digit-recog", "kernel_id": "510875"}, {"ref": "panitha/a-beginner-s-approach-to-classification", "kernel_id": "341428"}, {"ref": "meenavyas/mnist", "kernel_id": "625261"}, {"ref": "bantiitnab/keras-mnist-96-8-accuracy", "kernel_id": "473818"}, {"ref": "machineheart/mnist-with-knn", "kernel_id": "815703"}, {"ref": "couyang/when-keras-light-shine-in-r-you-shall-have-it-all", "kernel_id": "682462"}, {"ref": "couyang/easiest-cnn-with-99-6-accuracy-using-keras-top-5", "kernel_id": "695088"}, {"ref": "vominhcong05/mnist-keras", "kernel_id": "531037"}, {"ref": "leeyenchin/fork-of-minist-begin-826f6d", "kernel_id": "335829"}, {"ref": "shubhamcagel/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "674762"}, {"ref": "shubhamcagel/deep-neural-network-keras-way", "kernel_id": "674681"}, {"ref": "jeffcarp/mnist", "kernel_id": "438443"}, {"ref": "ericfeng84/mnist-tensorflow-introduction", "kernel_id": "377405"}, {"ref": "tcath2s/cnnclassifier", "kernel_id": "348338"}, {"ref": "tcath2s/fork-of-cnnclassifier", "kernel_id": "819185"}, {"ref": "gilbo123/mnist-classification", "kernel_id": "443345"}, {"ref": "flint1025/99-2-cnn-model-for-keras-beginners", "kernel_id": "347647"}, {"ref": "avnitm/hand-written-digits-recognizer-cnn", "kernel_id": "625889"}, {"ref": "natsu6767/mnist", "kernel_id": "404306"}, {"ref": "mnshlohia/a-beginner-s-approach-to-classification-using-svm", "kernel_id": "465403"}, {"ref": "eeelin/eeelin-s-kernel", "kernel_id": "347348"}, {"ref": "natashashafqat/keras-cnn-w-99-acc-peter-grenholm-tut", "kernel_id": "349313"}, {"ref": "emersonsilva/keras-neural-net", "kernel_id": "491843"}, {"ref": "bluerivers/digits-recognition-kernel", "kernel_id": "352641"}, {"ref": "alaa1234/fork-of-handwritten-digits-classification", "kernel_id": "530624"}, {"ref": "misirali/newbie-s-approach-to-xgboost", "kernel_id": "371892"}, {"ref": "phawkins/minst-keras-beginners-links-to-docs", "kernel_id": "367529"}, {"ref": "mongxmongx2/simple-way-svm", "kernel_id": "350382"}, {"ref": "jananesekaran/99-45-cnn-batchnorm-ensembling", "kernel_id": "354306"}, {"ref": "beaubellamy/digit-recognizer-deep-neural-network", "kernel_id": "887162"}, {"ref": "hungdo1291/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "368403"}, {"ref": "vedantpawar/digit-recognition-with-keras", "kernel_id": "537133"}, {"ref": "clairechung/mnist-keras-v2-cnn-98-8", "kernel_id": "538710"}, {"ref": "kiranj/digits-in-tflearn-with-visualisation-of-data", "kernel_id": "456628"}, {"ref": "hk1997/fork-of-svmhk1", "kernel_id": "355651"}, {"ref": "hk1997/my-kernel-digit-recognizer", "kernel_id": "430601"}, {"ref": "raoulma/mnist-image-class-tensorflow-cnn-99-51-test-acc", "kernel_id": "480900"}, {"ref": "silth1939/networks-convulsion", "kernel_id": "360336"}, {"ref": "scottieman/my-first-dnn-using-tensorflow", "kernel_id": "360209"}, {"ref": "jatina/notebook0891643d68", "kernel_id": "546915"}, {"ref": "hakantoguc/trial-with-image-manipulation-keras", "kernel_id": "378763"}, {"ref": "hakantoguc/digit-recognizer-trial-using-keras", "kernel_id": "365343"}, {"ref": "sanketbansal/keras-api", "kernel_id": "975747"}, {"ref": "zainatappslab/digit-recognizer-logistic-regression-mnist", "kernel_id": "683177"}, {"ref": "songyoupeng/deep-neural-network-keras-way", "kernel_id": "358908"}, {"ref": "shasija95/mnist-gg", "kernel_id": "361296"}, {"ref": "liusijun/test-digit-recoginzer", "kernel_id": "358567"}, {"ref": "wogus934/mnist-keras", "kernel_id": "380791"}, {"ref": "grayengineering425/tensorflow-neural-network-for-mnist-data", "kernel_id": "980376"}, {"ref": "tianchengli/mnist-with-keras-for-beginners-99457-f2f110", "kernel_id": "561994"}, {"ref": "dadwalakshay/mnist-digit-nn", "kernel_id": "625480"}, {"ref": "rohan359/mlpclassifier", "kernel_id": "852805"}, {"ref": "rupaljain93/keras-digit-recogniser", "kernel_id": "368408"}, {"ref": "rdcmdev/mnist-bymyself", "kernel_id": "973274"}, {"ref": "yuanzhoulvpi/a-simple-keras-base-of-r", "kernel_id": "761999"}, {"ref": "arpandhatt/conditional-generative-adversarial-network", "kernel_id": "852937"}, {"ref": "surya635/digit-recognition-with-keras-99", "kernel_id": "808873"}, {"ref": "herdofbears/tensorflow-5lnn-001", "kernel_id": "376264"}, {"ref": "justinhu/digit-cnn-v2", "kernel_id": "867016"}, {"ref": "aronysidoro/ml-alg-using-tf-ml-for-beginners-mnist-interface", "kernel_id": "525831"}, {"ref": "jatturat/cnn-for-digit-reading", "kernel_id": "453955"}, {"ref": "sr1993/testxx", "kernel_id": "373373"}, {"ref": "spatel4140/digit-recognizer", "kernel_id": "396116"}, {"ref": "bwdkaggle/digit-recognizer-kernel-tensorflow-convnet", "kernel_id": "672771"}, {"ref": "tooth15/keras-cnn", "kernel_id": "438748"}, {"ref": "mkdent/copy1", "kernel_id": "390672"}, {"ref": "mkdent/using-knn", "kernel_id": "390446"}, {"ref": "mkdent/digit-recognition-by-knn", "kernel_id": "390840"}, {"ref": "paultimothymooney/learning-rate-finder-for-keras", "kernel_id": "861600"}, {"ref": "paultimothymooney/mnist-method-comparison-with-capsules", "kernel_id": "401086"}, {"ref": "paultimothymooney/identifying-ships-in-satellite-images", "kernel_id": "506848"}, {"ref": "rhtsingh/cnn-with-keras", "kernel_id": "967865"}, {"ref": "youngseoklee/digit-recognizer-with-machine-learning", "kernel_id": "430550"}, {"ref": "dimahwang/notebook3688b7fce5", "kernel_id": "385782"}, {"ref": "ipg2014xxx/neural-network-using-tensorflow", "kernel_id": "613260"}, {"ref": "harunshimanto/digit-recognizetion-with-python", "kernel_id": "751853"}, {"ref": "benjamind123/knn-classifier", "kernel_id": "448734"}, {"ref": "sasha654/keras-and-tensorflow", "kernel_id": "419898"}, {"ref": "dedecu/a-simple-neural-network", "kernel_id": "400080"}, {"ref": "ztzhang1234/cnn-using-keras", "kernel_id": "397770"}, {"ref": "a6939612719/notebook30137b1023", "kernel_id": "397807"}, {"ref": "sabahkarim/digit-recognizer-using-cnn-accuracy-99-171", "kernel_id": "828848"}, {"ref": "sooooner/digit-recognizer-with-cousera-dl-course1", "kernel_id": "977648"}, {"ref": "aroten/homework-3", "kernel_id": "404677"}, {"ref": "eyan422/deep-learning-from-scratch", "kernel_id": "828619"}, {"ref": "haven2017/tensorflow-cnn-lb-0-98929", "kernel_id": "930765"}, {"ref": "mehmetburakeker/digit-recognition-neural-network-0-97", "kernel_id": "568578"}, {"ref": "jbuchner/random-forest-97-7-stroke-features-gaps-knots", "kernel_id": "550415"}, {"ref": "xuanyuwang/road-of-exploring-the-data", "kernel_id": "409887"}, {"ref": "kishan94/digit-recognizer-svm-and-other-algorithms", "kernel_id": "495817"}, {"ref": "liuyang1993/kernel1c4491bd8c", "kernel_id": "732782"}, {"ref": "harshthaker/tensorflow-softmax-regression-for-beginners", "kernel_id": "476029"}, {"ref": "qiaolan295/first-kernel", "kernel_id": "415546"}, {"ref": "qiaolan295/short-randomforest-code", "kernel_id": "426174"}, {"ref": "patricol/csci-435-hw3-patrick-collins", "kernel_id": "409908"}, {"ref": "jiuzhang/jiuzhang-knn-sk-learn", "kernel_id": "412954"}, {"ref": "jiuzhang/knn-framework", "kernel_id": "423540"}, {"ref": "jiuzhang/knn-20180121", "kernel_id": "555254"}, {"ref": "jiuzhang/welcome-to-deep-learning-cnn-99", "kernel_id": "458734"}, {"ref": "jiuzhang/ninechapter-knn", "kernel_id": "433378"}, {"ref": "jiuzhang/20180505", "kernel_id": "947353"}, {"ref": "linahali/digit-recognizer-in-python-rfc-classification", "kernel_id": "507660"}, {"ref": "dpetrini/machine-learning-comparison-for-mnist", "kernel_id": "430961"}, {"ref": "tnraddatz/notebook4b6000b47c", "kernel_id": "414966"}, {"ref": "louisayd/digit-recognizer-machine-learning", "kernel_id": "420792"}, {"ref": "grrddm/feed-forward-mnist", "kernel_id": "942221"}, {"ref": "grrddm/mnist-with-keras", "kernel_id": "847950"}, {"ref": "grrddm/mnist-with-ensemble-methods", "kernel_id": "766859"}, {"ref": "acarpenter/adam-carpenter-csci435-hw3", "kernel_id": "421063"}, {"ref": "kabacaly/simple-cnn-with-keras", "kernel_id": "753821"}, {"ref": "tomkelly0/dnn-with-gradient-descent", "kernel_id": "847995"}, {"ref": "tomkelly0/dnn-with-momentum-optimization", "kernel_id": "858923"}, {"ref": "claudiaestes/deep-learning-assignment", "kernel_id": "421987"}, {"ref": "ufoshen1/mnist-tensorflow", "kernel_id": "913919"}, {"ref": "zeesun/jiuzhang-knn-sk-learn-c9bf92", "kernel_id": "915952"}, {"ref": "wangtianzhen/notebook8ed8de1c01", "kernel_id": "458885"}, {"ref": "yiranchen1994/svm-of-yiranchen", "kernel_id": "444141"}, {"ref": "yiranchen1994/cnn-using-keras-for-mnist", "kernel_id": "445100"}, {"ref": "souravaggarwal/cnn-keras-for-beginners-0-992-on-test-csv", "kernel_id": "713254"}, {"ref": "arianprabowo/kr-01", "kernel_id": "477801"}, {"ref": "arianprabowo/t2-five", "kernel_id": "442486"}, {"ref": "arianprabowo/gann-01", "kernel_id": "456865"}, {"ref": "astandrik/classification-with-deepnn-using-tensorflow", "kernel_id": "504732"}, {"ref": "vishurai593/mnist-beginner-attempt", "kernel_id": "586515"}, {"ref": "abhimicro3/mnist-eda", "kernel_id": "877589"}, {"ref": "richardarendsen/snn-vs-cnn-visualisation", "kernel_id": "881064"}, {"ref": "nullpointer1866/mlda-final-project", "kernel_id": "477543"}, {"ref": "madpiano/hand-written-digits-recogniztion-using-knn", "kernel_id": "739103"}, {"ref": "m9harv/digitrecog-first-attempt-v1", "kernel_id": "593166"}, {"ref": "timniessen/mnist-without-deep-learning", "kernel_id": "454179"}, {"ref": "timniessen/mnist-simple-keras-hello-world-solution", "kernel_id": "502902"}, {"ref": "northon/digit-recognizer-neural-network-using-keras", "kernel_id": "880306"}, {"ref": "weeang763162/capsulenet-on-mnist-2ddbca", "kernel_id": "505885"}, {"ref": "guillermobp/digit-recognizer-con-pca-y-svc-score-0-98200", "kernel_id": "955642"}, {"ref": "juiyangchang/cnn-with-pytorch-0-995-accuracy", "kernel_id": "449205"}, {"ref": "srinivasmj/read-load-predict-keras-mnist", "kernel_id": "480964"}, {"ref": "ml2018/projet-ml", "kernel_id": "450535"}, {"ref": "michaelnie/unsupervised-learning-with-topic-modelling", "kernel_id": "458739"}, {"ref": "michaelnie/simple-random-forest-classification", "kernel_id": "462710"}, {"ref": "peterandy/cnn-predict-practice", "kernel_id": "508410"}, {"ref": "astoica/cnn-keras-exp", "kernel_id": "493235"}, {"ref": "mrtrustworthy/mnist-competition-test-submission", "kernel_id": "463184"}, {"ref": "rajasekarv/cnn-using-tf", "kernel_id": "478387"}, {"ref": "kuntalcse006/digit-recognition-using-cnn-with-tensorflow", "kernel_id": "579103"}, {"ref": "fuqiuai/pca-svm-in-sklearn", "kernel_id": "472525"}, {"ref": "fuqiuai/knn-in-sklearn-0-96800", "kernel_id": "466427"}, {"ref": "i13472889991/mnist", "kernel_id": "899564"}, {"ref": "keithmc/knn-from-scratch-in-python", "kernel_id": "466481"}, {"ref": "hedingxu/digit-recognize", "kernel_id": "466397"}, {"ref": "lalitharajesh/exploring-hand-written-digits", "kernel_id": "568051"}, {"ref": "mycheny/handwritten-digits", "kernel_id": "596072"}, {"ref": "sylvia23/digit-recognizer-in-python-using-cnn", "kernel_id": "503801"}, {"ref": "sylvia23/tensorflow-deep-nn", "kernel_id": "503806"}, {"ref": "ichengs/a-beginner-s-approach-to-classification-e5c5ec", "kernel_id": "494034"}, {"ref": "akashsrivastava995/digit-recognizer-with-sklearn-mlp-classifier", "kernel_id": "586517"}, {"ref": "robbie78669/tensorflow-deep-nn", "kernel_id": "484060"}, {"ref": "eshwar006/notebookebbacd6ac2", "kernel_id": "513902"}, {"ref": "chrisclem/digit-recognizer-with-cnn", "kernel_id": "999685"}, {"ref": "omarayman/predicting-digits-using-decision-tree", "kernel_id": "579386"}, {"ref": "omarayman/minst-for-bignners-using-cnn-acc-98-1", "kernel_id": "780494"}, {"ref": "omarayman/lenet-implementation", "kernel_id": "959216"}, {"ref": "omarayman/resnet-model-easy-implementation", "kernel_id": "990496"}, {"ref": "saurabhg476/tensorflow-feedforward-neural-network", "kernel_id": "716735"}, {"ref": "saurabhg476/plain-old-logistic-regression-with-pca", "kernel_id": "662925"}, {"ref": "saurabhg476/scikit-learn-mlp", "kernel_id": "669771"}, {"ref": "xalphahelix/digit-recognizer-cnn", "kernel_id": "671753"}, {"ref": "spmuppar/nearest-neighbor-for-handwritten-digit-recognition", "kernel_id": "728495"}, {"ref": "limitpointinf0/96-accuracy-knn-on-mnist", "kernel_id": "968040"}, {"ref": "limitpointinf0/mnist-simple-keras-nn", "kernel_id": "967808"}, {"ref": "ronaldpaul666/notebook8c07e148ae", "kernel_id": "571891"}, {"ref": "mnehete32/mnist-image-classification", "kernel_id": "528244"}, {"ref": "farheen28/minst-data-analysis-using-pca", "kernel_id": "516409"}, {"ref": "marwaf/handwritten-digits-classification", "kernel_id": "525321"}, {"ref": "aawadall/deep-nn-images", "kernel_id": "568867"}, {"ref": "aawadall/deep-neural-net", "kernel_id": "576450"}, {"ref": "aawadall/fork-of-deep-nn-cnn-implementation", "kernel_id": "659342"}, {"ref": "thuongtran12/logistic-regression", "kernel_id": "528036"}, {"ref": "tanreinama/chainer-mnistclassifier-base", "kernel_id": "564191"}, {"ref": "surya6492/random-forest-analysis", "kernel_id": "562316"}, {"ref": "ccccgp/deep-neural-network-keras-way", "kernel_id": "753914"}, {"ref": "duan123/duan-dingle", "kernel_id": "543550"}, {"ref": "fqiang/digital-recognization", "kernel_id": "558344"}, {"ref": "atrisaxena/neural-network-from-scratch-using-numpy", "kernel_id": "584354"}, {"ref": "abhikb11/digit-recognition-using-knn", "kernel_id": "748832"}, {"ref": "digitalcowboy/keras-mnist-example", "kernel_id": "537750"}, {"ref": "damienbeneschi/mnist-eda-preprocessing-classifiers", "kernel_id": "758301"}, {"ref": "damienbeneschi/preprocessing-clustering-visualizations", "kernel_id": "786055"}, {"ref": "damienbeneschi/mnist-deep-learning-with-keras", "kernel_id": "816766"}, {"ref": "g14140007/cnn-keras-v-0-2-97-62", "kernel_id": "648643"}, {"ref": "mataman/notebook4fad18329c", "kernel_id": "535685"}, {"ref": "chenyu2018/a-hahaha", "kernel_id": "536537"}, {"ref": "asterias99/mnist-handwritten-digits", "kernel_id": "795242"}, {"ref": "pranjalrajput/by-tensorflow", "kernel_id": "734939"}, {"ref": "sanjaykr/introduction-to-tensorflow-and-tensorboard", "kernel_id": "724182"}, {"ref": "ankitjaadoo/digit-recognizer", "kernel_id": "592375"}, {"ref": "sachindc/digit-recognition-using-keras-sequential", "kernel_id": "734287"}, {"ref": "aishanhang/mnist-cnn", "kernel_id": "805937"}, {"ref": "varungitboi/digit-recognition-with-keras", "kernel_id": "861525"}, {"ref": "mmotta319/mnist", "kernel_id": "695509"}, {"ref": "hiddensurprise/simple-logistic-regression", "kernel_id": "555401"}, {"ref": "xunxu1990/solving-digit-recognizer-with-pca-svm", "kernel_id": "555455"}, {"ref": "lafcadio/convolutional-neural-network-with-keras", "kernel_id": "583269"}, {"ref": "shivamb/a-very-comprehensive-tutorial-nn-cnn", "kernel_id": "989740"}, {"ref": "poojachiluvuri/cnn-for-mnist", "kernel_id": "580622"}, {"ref": "poojachiluvuri/cnn-for-mnist-using-keras", "kernel_id": "583466"}, {"ref": "madanchawla/digit-recognition-with-nearest-neighbors", "kernel_id": "908528"}, {"ref": "madanchawla/97-accuracy-with-simple-pca-svm", "kernel_id": "908321"}, {"ref": "blastchar/digit-recognizer-what-should-i-do", "kernel_id": "672823"}, {"ref": "blastchar/digit-recognizer-h2o-ensemble", "kernel_id": "679409"}, {"ref": "blastchar/digit-recognizer-using-mxnet-2", "kernel_id": "942861"}, {"ref": "blastchar/digit-recognizer-using-mxnet-1", "kernel_id": "942168"}, {"ref": "blastchar/digit-recognizer-using-keras-3", "kernel_id": "941235"}, {"ref": "blastchar/digit-recognizer-using-keras", "kernel_id": "880629"}, {"ref": "blastchar/digit-recognizer-h2o-can-beat-0-97", "kernel_id": "881022"}, {"ref": "blastchar/digit-recognizer-using-keras-2", "kernel_id": "911010"}, {"ref": "robertbm/extreme-learning-machine-example", "kernel_id": "628483"}, {"ref": "guilhermesantana/decision-tree", "kernel_id": "581583"}, {"ref": "gar283/digit-recognizer", "kernel_id": "735434"}, {"ref": "sakhta/digit-recognizer-net", "kernel_id": "878533"}, {"ref": "mharder42/digit-recognizer", "kernel_id": "584080"}, {"ref": "wuchangsheng/pytorch-cnn", "kernel_id": "981835"}, {"ref": "elocatov/mnist-digit-cnn-keras", "kernel_id": "766597"}, {"ref": "akki6843/digit-recognizer-simple-architecture", "kernel_id": "904282"}, {"ref": "daphnecor/csii-minst", "kernel_id": "956860"}, {"ref": "juancamachobd/digit-recognizer-with-pca-svm", "kernel_id": "625259"}, {"ref": "rickychwong/mnist-nb", "kernel_id": "737196"}, {"ref": "moichiaaron/abell-nnlabeler-gnumpy", "kernel_id": "817256"}, {"ref": "hikariakou/mlp-lb-0-99771", "kernel_id": "746450"}, {"ref": "bjexcavator/cnn-keras", "kernel_id": "613784"}, {"ref": "chetchaiyan/digit-recognizer-multilayer-perceptron", "kernel_id": "950963"}, {"ref": "chetchaiyan/digit-recognizer-convolution-neural-network", "kernel_id": "955758"}, {"ref": "nbuhagiar/recognizing-digits-with-cnns", "kernel_id": "886342"}, {"ref": "richardsun72/demo-how-to-use-kaggle-kernel-knn", "kernel_id": "777695"}, {"ref": "rohitmahor/digit-recognizer", "kernel_id": "745090"}, {"ref": "bingqingling/cnn-resnet50", "kernel_id": "888362"}, {"ref": "manisood001/mnist-tensorflow-99-accuracy", "kernel_id": "962979"}, {"ref": "yossigijrath/first-test-version", "kernel_id": "739998"}, {"ref": "willianw/digit-recognizing-with-keras-augmentation", "kernel_id": "897687"}, {"ref": "jastfkjg/convolutionnal-neural-networks", "kernel_id": "779220"}, {"ref": "ucdmcs70/kn-ndigital", "kernel_id": "727521"}, {"ref": "mtethan/digital-recogniser-with-keras-cnn", "kernel_id": "764609"}, {"ref": "mtethan/digital-recogniser-with-tensorflow-deep-nn", "kernel_id": "763454"}, {"ref": "leoay23/a-beginner-s-approach-to-classification", "kernel_id": "877544"}, {"ref": "guysapire/digit-recognizer-with-opencv-scikit-learn-s-svc", "kernel_id": "680875"}, {"ref": "shemlaya/vgg-like-neural-network-on-mnist-dataset", "kernel_id": "861454"}, {"ref": "kathleenwang/digit-recognizer", "kernel_id": "757060"}, {"ref": "kshitizrimal/digit-recognizer-submission-around-97-accuracy", "kernel_id": "684765"}, {"ref": "naveenc131/cnn-accuracy-0-99", "kernel_id": "800022"}, {"ref": "nitt0x0/mnist-image-cnn-recognition", "kernel_id": "831336"}, {"ref": "mahoto0523/digit-recognizer", "kernel_id": "702589"}, {"ref": "shadow1409/digit-recognizer-knn", "kernel_id": "744066"}, {"ref": "dguo456/digit-recognizer-knn", "kernel_id": "713764"}, {"ref": "fornitroll/simple-keras-nn", "kernel_id": "713566"}, {"ref": "fornitroll/neural-network-from-scratch", "kernel_id": "713071"}, {"ref": "chairco/mnist-svm-linear-poly", "kernel_id": "940283"}, {"ref": "zhongkuizhang/mnist-test", "kernel_id": "988390"}, {"ref": "nonreviad/messing-around-with-cnns", "kernel_id": "818012"}, {"ref": "umangnangal/digit-recognition-knn", "kernel_id": "727184"}, {"ref": "portudo/2-inception-layers", "kernel_id": "778761"}, {"ref": "naina04/dropout-and-strides-for-larger-models", "kernel_id": "974953"}, {"ref": "naina04/deep-learning-from-scratch", "kernel_id": "974770"}, {"ref": "tanapatkaggle/digit-recognizer", "kernel_id": "759542"}, {"ref": "dupengcheng/digit", "kernel_id": "931557"}, {"ref": "nrator/digit-recognizer-using-python-tensorflow", "kernel_id": "850999"}, {"ref": "gregorgullwi/first-script", "kernel_id": "794012"}, {"ref": "marco66/digit-recognizer-basic-nn-in-keras", "kernel_id": "774267"}, {"ref": "vipul92/mnist-handwritten-dataset-keras", "kernel_id": "789699"}, {"ref": "kuijinxia/using-logistic-regression-to-predict", "kernel_id": "995011"}, {"ref": "kraxximus/mista-mnista", "kernel_id": "818679"}, {"ref": "xuchunyang/a-beginner-s-approach-to-classification", "kernel_id": "850935"}, {"ref": "enigmabrk/cnn-with-digit-recognizer", "kernel_id": "820061"}, {"ref": "clauswrm/mnist-digit-recognizer", "kernel_id": "939020"}, {"ref": "normannator/ki-aufgabe-2-teil-a-b", "kernel_id": "902761"}, {"ref": "jonasreinhardt/ki-a2-digit-recognizer", "kernel_id": "913244"}, {"ref": "pascal2806/ki-aufgabe-2", "kernel_id": "902851"}, {"ref": "caoimhin1991/digit-recognition", "kernel_id": "902870"}, {"ref": "whitebock/zahlen-erkennen", "kernel_id": "927193"}, {"ref": "patrigo/digit-recognition-with-cnn", "kernel_id": "918335"}, {"ref": "tkk233/mnist-with-tflearn", "kernel_id": "913856"}, {"ref": "dlarionov/mnist-tensorflow", "kernel_id": "900993"}, {"ref": "mr1992/simple-mnist-python-code-96-6-accuracy", "kernel_id": "915691"}, {"ref": "marglit/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "927643"}, {"ref": "captaintimbertim/cnn-centralnewsnetwork-digitrecognizer", "kernel_id": "904129"}, {"ref": "currywurscht/digit-recognition-test", "kernel_id": "902749"}, {"ref": "kaggleleot/digit-recognition-using-scikit", "kernel_id": "911693"}, {"ref": "engrjk111/deep-neural-network-keras-way", "kernel_id": "913199"}, {"ref": "florian1994/2-layer-neural-network-model", "kernel_id": "912083"}, {"ref": "endlesslethe/siwei-digit-recognizer-top20", "kernel_id": "917118"}, {"ref": "sikora507/mnist-binary-classifier-precision-and-recall", "kernel_id": "992024"}, {"ref": "jmohitj/practicing-playing-with-mnist-decision-tree", "kernel_id": "921358"}, {"ref": "dgrafe/beginner-s-guide-to-image-classification-keras", "kernel_id": "921690"}, {"ref": "qinbaidu1266/mnist", "kernel_id": "930939"}, {"ref": "ramartya/digit-recogniser-cnn", "kernel_id": "978505"}, {"ref": "nothingcouldbebetter/kernelfa4ddf81d8", "kernel_id": "957454"}, {"ref": "mustafaali96/keras-mnist", "kernel_id": "983924"}, {"ref": "gushengming/keras-for-mnist", "kernel_id": "976842"}, {"ref": "kerneler/python-global-default", "kernel_id": "676364"}, {"ref": "iftekharanam/neural-network-approach", "kernel_id": "1950920"}, {"ref": "sorry99999/simple-cnn-for-starter", "kernel_id": "1003975"}, {"ref": "tobikaggle/keras-swish-activation-acc-0-996-top-7", "kernel_id": "1391613"}, {"ref": "tobikaggle/keras-mnist-cnn-learning-curve", "kernel_id": "1444156"}, {"ref": "mysticslice/simple-svm-quadratic-kernel", "kernel_id": "1052684"}, {"ref": "mysticslice/simple-svm-using-polynomial-kernel", "kernel_id": "1172701"}, {"ref": "muxxer/mnist-with-keras", "kernel_id": "1390091"}, {"ref": "jahan152970/basic-cnn-model-in-keras", "kernel_id": "1588891"}, {"ref": "gokultalele/handwritten-digit-recognition-using-svm", "kernel_id": "1651269"}, {"ref": "nmaheshw/mnist-dataset-practice", "kernel_id": "1082150"}, {"ref": "neillwhite0/mnist-cnn-using-keras-with-words-and-pics", "kernel_id": "1555624"}, {"ref": "bguberfain/lab-2-classifica-o-de-digitos", "kernel_id": "1729964"}, {"ref": "sanarasheed/classification-with-pytorch", "kernel_id": "1677439"}, {"ref": "mcwitt/mnist-cnn-with-pytorch", "kernel_id": "1791410"}, {"ref": "mohitsolanki/first-time-keras-and-tensorflow-for-mnist", "kernel_id": "1643958"}, {"ref": "shounakdey/mnist-digit-recognizer-using-keras", "kernel_id": "1172606"}, {"ref": "tnowicki/h2o-automl-0-96", "kernel_id": "1973600"}, {"ref": "sajjadheydari/mnist-using-cnn", "kernel_id": "1856068"}, {"ref": "varunsharma3/mnist-with-tensor-flow-for-deep-learning", "kernel_id": "1954766"}, {"ref": "markdavey/keras-tensorflow", "kernel_id": "1535180"}, {"ref": "usingtc/vgg19-example-with-tensorflow", "kernel_id": "1286073"}, {"ref": "mineshjethva/fork-of-fork-of-keras-beginner", "kernel_id": "1093749"}, {"ref": "vijayrajmeena/train-test-save-mnist-150818-py", "kernel_id": "1453618"}, {"ref": "michail/fork-of-kernelb44ee5f748", "kernel_id": "1491605"}, {"ref": "adityamangal410/basic-decision-tree", "kernel_id": "1464978"}, {"ref": "mhersafaryan/4-intro-to-ml-handwritten-digits", "kernel_id": "1232723"}, {"ref": "willjashford/minst-willjashford", "kernel_id": "1232210"}, {"ref": "lbronchal/keras-gpu-cpu-reproducibility-test", "kernel_id": "1058488"}, {"ref": "carlosaguayo/introduction-to-transfer-learning", "kernel_id": "1254956"}, {"ref": "carlosaguayo/using-inceptionv3", "kernel_id": "1254756"}, {"ref": "cilliand/mnist-cnn", "kernel_id": "1105343"}, {"ref": "mayukh18/tensorflow-inception-network", "kernel_id": "1086128"}, {"ref": "mayukh18/convnet-tensorflow", "kernel_id": "1049256"}, {"ref": "csesatheesh94/digit-recognization-for-everyone-0-99", "kernel_id": "1487972"}, {"ref": "priyankabedarkar/digit-recognizer-tf-nn", "kernel_id": "1236861"}, {"ref": "sharlatan/fast-ai-approach", "kernel_id": "1759439"}, {"ref": "vijaykris/mnist-classification-using-fast-ai-v2", "kernel_id": "1475427"}, {"ref": "stefanbuenten/mnist-test-with-fastai", "kernel_id": "1454682"}, {"ref": "renal128/digit-recognizer-cnn-model", "kernel_id": "1197052"}, {"ref": "timi01/digit-recognition-using-knn", "kernel_id": "1324453"}, {"ref": "subhendu/using-keras-cnn-and-imagegenerator", "kernel_id": "1166823"}, {"ref": "lzheng002/data-transforming-with-different-scaling-methods", "kernel_id": "1731806"}, {"ref": "yuvraj17/single-layer-nn-practise", "kernel_id": "1457291"}, {"ref": "niyipop/mnist-image-classification-with-pytorch-cnn", "kernel_id": "1279343"}, {"ref": "ivarvb/digit-recognizer", "kernel_id": "1982916"}, {"ref": "nmcuong81/simple-to-complex-models-91-to-99-acc", "kernel_id": "1598436"}, {"ref": "njanakiev/mnist-hog", "kernel_id": "1126340"}, {"ref": "linhliu/knn-framework-3ab156", "kernel_id": "1494152"}, {"ref": "panpluto/gridsearch-svc", "kernel_id": "1017621"}, {"ref": "harshavanama/data-visualization-with-pca", "kernel_id": "1615029"}, {"ref": "hcmarchezi/digit-classification-with-keras-conv-nets", "kernel_id": "1474932"}, {"ref": "kanishkapsingh/mnist-data-cnn-lenet-from-scratch", "kernel_id": "1317183"}, {"ref": "mrfawcett/digit-recognizer", "kernel_id": "1974445"}, {"ref": "abhinav08/pytorch-deep-neural-network", "kernel_id": "1166834"}, {"ref": "ravijp/basic-keras-with-mnist-digit-dataset", "kernel_id": "1563298"}, {"ref": "leekltw1/use-tensorboard-s-graph-lenet-to-understand-cnn", "kernel_id": "1343371"}, {"ref": "wwu651/cnn-keras-with-r", "kernel_id": "1379801"}, {"ref": "swarnabha/intro-to-gan-fashion-mnist-data", "kernel_id": "1539459"}, {"ref": "andrewrib/dai-june-2018-workshop-notebook-3", "kernel_id": "1110566"}, {"ref": "ammarmalik/mnist-kaggle-submission", "kernel_id": "1286254"}, {"ref": "sfilios/mnist-trials", "kernel_id": "1843787"}, {"ref": "kalyanrdy/dimensionality-reduction-pca", "kernel_id": "1375825"}, {"ref": "playtimez/knn-framework-46723e", "kernel_id": "1504558"}, {"ref": "timothyta12/cnn-for-mnist", "kernel_id": "1574305"}, {"ref": "gpreda/simple-introduction-to-cnn-for-mnist-99-37", "kernel_id": "1425655"}, {"ref": "moghazy/guide-to-cnns-with-data-augmentation-keras", "kernel_id": "1264167"}, {"ref": "moghazy/intro-to-cv-using-deep-nn-and-data-augmentation", "kernel_id": "1989426"}, {"ref": "joaquimmnetto/simple-mnist-cnn", "kernel_id": "1370478"}, {"ref": "danyfang/mnist-competition", "kernel_id": "1789972"}, {"ref": "recepinanc/mnist-classification-sklearn", "kernel_id": "1374760"}, {"ref": "mshokry/mnist-digital-recognizer", "kernel_id": "1029037"}, {"ref": "mshokry/mnist-keras-cnn-getting-started", "kernel_id": "1029364"}, {"ref": "sandeepkumar121995/cnn-implentation-classic-lenet-5-keras", "kernel_id": "1764464"}, {"ref": "rafsanjani/digit-recognizer", "kernel_id": "1093876"}, {"ref": "hemanth346/ocr-of-hand-written-digits-keras-cnn", "kernel_id": "1341066"}, {"ref": "krishanudb/pytorch-learning", "kernel_id": "1526648"}, {"ref": "thearchetype/a-minimal-mnist-solution-using-keras-tf-backend", "kernel_id": "1871485"}, {"ref": "thearchetype/a-minimal-mnist-solution-using-scikit-learn", "kernel_id": "1058918"}, {"ref": "jpdurham/mnist-tensorflow-simple-nn-and-cnn", "kernel_id": "1897386"}, {"ref": "olgabelitskaya/digit-recognition-models-r", "kernel_id": "1138919"}, {"ref": "olgabelitskaya/digit-recognition-models-r-2", "kernel_id": "1152857"}, {"ref": "anebzt/mnist-with-cnn-in-keras-detailed-explanation", "kernel_id": "1341875"}, {"ref": "anebzt/extended-mnist", "kernel_id": "1613434"}, {"ref": "anebzt/fashion-mnist-in-keras", "kernel_id": "1595396"}, {"ref": "anebzt/skin-cancer-mnist", "kernel_id": "1706821"}, {"ref": "rfernandes/mnist-dnn-model", "kernel_id": "1683704"}, {"ref": "rfernandes/minst-knn-model", "kernel_id": "1692910"}, {"ref": "karangautam/naive-cnn-for-digit-recognition", "kernel_id": "1425774"}, {"ref": "awantik/digit-perdictor", "kernel_id": "1538209"}, {"ref": "pranathik/digit-recognizer", "kernel_id": "1623439"}, {"ref": "krithi07/playing-with-the-mnist", "kernel_id": "1224600"}, {"ref": "ashishpatel26/mnist-alexnet-using-keras", "kernel_id": "1025457"}, {"ref": "ashishpatel26/mxnet-for-mnist", "kernel_id": "1261720"}, {"ref": "manjeet24feb/learning-machine-learning", "kernel_id": "1088716"}, {"ref": "keyurparalkar/mnist-dataset-cnn-using-pytorch-score-0-98814", "kernel_id": "1326404"}, {"ref": "zad1996/digit-recognizer-using-cnn", "kernel_id": "1374689"}, {"ref": "ayanmaity/ml-assignment-3", "kernel_id": "1508582"}, {"ref": "ayanmaity/digit-recognizer-using-rbf-nn", "kernel_id": "1801914"}, {"ref": "sabasiddiqi/svm-classification-parameter-selection-0-968", "kernel_id": "1773598"}, {"ref": "elbouziady/a-beginner-s-approach-to-classification", "kernel_id": "1367197"}, {"ref": "drscarlat/mnist-99-74-with-convoluted-nn-and-keras", "kernel_id": "1437082"}, {"ref": "edmilsonsantana/deep-learning-practical-project", "kernel_id": "1930309"}, {"ref": "imm2rik/digit-recognition-using-randomforest", "kernel_id": "1245488"}, {"ref": "amarjeet007/visualize-cnn-with-keras", "kernel_id": "1204028"}, {"ref": "ankurshukla03/mnist-using-ensemble-cnn-0-997", "kernel_id": "1988272"}, {"ref": "vishreddy/mnist-baseline-with-mlpclassifier", "kernel_id": "1369708"}, {"ref": "patrickrhbrown/digit-recognition", "kernel_id": "1312511"}, {"ref": "saurabh105/pca-visualization-on-mnist-data-from-scratch", "kernel_id": "1238283"}, {"ref": "saurabh105/t-sne-visualization-on-mnist-dataset", "kernel_id": "1240979"}, {"ref": "saurabh105/pca-on-f-mnist", "kernel_id": "1967160"}, {"ref": "addemelier/computer-vision-practice-kernel", "kernel_id": "1823840"}, {"ref": "dandeone/digit-recognizer", "kernel_id": "1540772"}, {"ref": "hammadzahidali/tensor-flow-basics-simple-examples", "kernel_id": "1561750"}, {"ref": "englishbo/a-beginner-s-approach-to-classification", "kernel_id": "1047986"}, {"ref": "tanejapranav/neural-network-and-cnn-implementation", "kernel_id": "1253472"}, {"ref": "gabbygab/handwritten-digit-recognition-for-newbie", "kernel_id": "1544354"}, {"ref": "gagandeep16/digits-classification-logistic-regression", "kernel_id": "1076044"}, {"ref": "gagandeep16/mnist-digit-classification-using-minibatches", "kernel_id": "1076530"}, {"ref": "dreamhome/digit-recognizer", "kernel_id": "1943209"}, {"ref": "lsc2data/minist", "kernel_id": "1021412"}, {"ref": "shatiel/practicing-playing-with-mnist-rnd-forest", "kernel_id": "1225259"}, {"ref": "mvsfnig/tutorial-simple-cnn-classifier", "kernel_id": "1851627"}, {"ref": "vyordanov/introduction-to-tensorflow-cnn-custom-estimator", "kernel_id": "1426076"}, {"ref": "ostaski/dropout-and-strides-for-larger-models", "kernel_id": "1356222"}, {"ref": "ostaski/deep-learning-from-scratch", "kernel_id": "1356004"}, {"ref": "danmoller/make-best-use-of-a-kernel-s-limited-uptime-keras", "kernel_id": "1384225"}, {"ref": "quicklearner/digit-recognizer-svm", "kernel_id": "1812017"}, {"ref": "parulm/basic-digit-recognizer-by-pm", "kernel_id": "1755611"}, {"ref": "pcarter/mnist-classification-kernel", "kernel_id": "1274908"}, {"ref": "rangnerok/digit-recognition-with-vanilla-nn", "kernel_id": "1063818"}, {"ref": "vbookshelf/sklearn-lightgbm", "kernel_id": "1841690"}, {"ref": "vbookshelf/sklearn-naive-bayes", "kernel_id": "1834723"}, {"ref": "acelaya0/digit-recognition-with-conv-nets-99-6", "kernel_id": "1417321"}, {"ref": "gunjanagicha/welcome-to-deep-learning-cnn-99", "kernel_id": "1741456"}, {"ref": "sanchitj/digit-recognizer-using-cnn", "kernel_id": "1181596"}, {"ref": "sanchitj/digit-recognizer", "kernel_id": "1180968"}, {"ref": "lokeshkumarn/cnn-on-mnist", "kernel_id": "1151735"}, {"ref": "akjain90/mnist-classifier", "kernel_id": "1378724"}, {"ref": "kartikdutt28/image-detection", "kernel_id": "1259811"}, {"ref": "nandvard/simple-keras-tensorflow-cnn-on-mnist", "kernel_id": "1410485"}, {"ref": "kanncaa1/convolutional-neural-network-cnn-tutorial", "kernel_id": "1607157"}, {"ref": "abhijit96/mnist-kernel-2", "kernel_id": "1252102"}, {"ref": "singareddy/mnist-kaggle-submission", "kernel_id": "1288269"}, {"ref": "bhagyeshvikani/digit-recognizer", "kernel_id": "1293845"}, {"ref": "tango911/digit-recognizer-test-acc-995", "kernel_id": "1331299"}, {"ref": "amitkvikram/knn-classifier", "kernel_id": "1751988"}, {"ref": "amitkvikram/neural-network", "kernel_id": "1842660"}, {"ref": "lenka98/mnist-number-recognition", "kernel_id": "1094114"}, {"ref": "dimitreoliveira/simple-keras-and-deep-learning-digit-recognizer", "kernel_id": "1636227"}, {"ref": "wordroid/usage-of-keras-pretrained-models", "kernel_id": "1996179"}, {"ref": "dhainjeamita/classifying-handwritten-digits", "kernel_id": "1165410"}, {"ref": "komi1230/train-py", "kernel_id": "1055030"}, {"ref": "vaibhav29498/resnet-with-keras", "kernel_id": "1383321"}, {"ref": "vaibhav29498/cnn-using-tensorflow", "kernel_id": "1278995"}, {"ref": "vaibhav29498/neural-network-using-tensorflow", "kernel_id": "1182272"}, {"ref": "virksaab/simple-cnn-with-true-99714-test-acc-keras", "kernel_id": "1366300"}, {"ref": "danglamtung199/minst-cnn", "kernel_id": "1070553"}, {"ref": "bulentsiyah/mnist-for-beginners-tensorflow-dnn-cnn-keras", "kernel_id": "1764430"}, {"ref": "reppic/stroke-path-approximation-rnn-keras", "kernel_id": "1375064"}, {"ref": "soumikrakshit/digit-recognition-using-lenet-5", "kernel_id": "1831706"}, {"ref": "navelniy/first-cnn", "kernel_id": "1877549"}, {"ref": "cihansoylu/digit-recognizer-with-feed-forward-network", "kernel_id": "1261248"}, {"ref": "dmayboroda/exercise-dropout-and-strides-for-larger-models", "kernel_id": "1921847"}, {"ref": "dmayboroda/exercise-modeling-from-scratch-a13665", "kernel_id": "1921428"}, {"ref": "hewani/deep-learning-with-keras", "kernel_id": "1345298"}, {"ref": "arnab1/digit-recognition-tf", "kernel_id": "1515638"}, {"ref": "kamote/optimizing-neural-networks-with-tensorboard", "kernel_id": "1956427"}, {"ref": "mahesh1026/digit-recog", "kernel_id": "1152470"}, {"ref": "parth05rohilla/mnist-digit-recognizer-using-keras-top-7", "kernel_id": "1079802"}, {"ref": "vedantpawar/digit-recognition-with-cnn", "kernel_id": "1936974"}, {"ref": "mvarun01/kernelb543b3a495", "kernel_id": "1372040"}, {"ref": "s00100624/getting-started-with-cnn-digit-recognition", "kernel_id": "1885099"}, {"ref": "shujunge/inroduction-to-mnist-classification-with-keras", "kernel_id": "1812274"}, {"ref": "sanikamal/digit-recognizer-using-cnn", "kernel_id": "1437768"}, {"ref": "sanjuktamitra1208/digit-recognition-using-svm", "kernel_id": "1249037"}, {"ref": "sarveshsinghsvn/naive-nn-model-using-tensorflow", "kernel_id": "1700437"}, {"ref": "katiej277/mnist-simple-random-forest", "kernel_id": "1022505"}, {"ref": "baoanh/gridsearchcv-to-improve-model-svc", "kernel_id": "1668223"}, {"ref": "baoanh/cnn-using-keras-top-4", "kernel_id": "1831090"}, {"ref": "startx/mnist-classifier", "kernel_id": "1207308"}, {"ref": "keyursjain/kerneldcbc626eee", "kernel_id": "1565724"}, {"ref": "priyanksharma/priyana-kernel", "kernel_id": "1527954"}, {"ref": "michaelmorr/digital-recognizer-using-pca-svm", "kernel_id": "1290452"}, {"ref": "michaelmorr/digital-recognizer-with-pca-logistic-regression", "kernel_id": "1294309"}, {"ref": "rahulbagga/mnist-using-simple-nn", "kernel_id": "1076298"}, {"ref": "jayakumarsekar/digit-recognition", "kernel_id": "1625403"}, {"ref": "saumyaraj1/99-accuracy-using-data-augmentation", "kernel_id": "1901371"}, {"ref": "mehranrafiee/kernel437f68dafb", "kernel_id": "1288673"}, {"ref": "rajivks/mnist-using-convnet", "kernel_id": "1662435"}, {"ref": "nairitbanerjee/deep-learning-from-scratch", "kernel_id": "1005083"}, {"ref": "mastermindbraveson/simple-digit-recognizer-algorithm", "kernel_id": "1302695"}, {"ref": "tarunpaparaju/mnist-digit-recognition-with-capsulenet", "kernel_id": "1899890"}, {"ref": "tarunpaparaju/mnist-digit-recognition-with-cnns", "kernel_id": "1899555"}, {"ref": "rachel115/digit-recognizer-using-cnn", "kernel_id": "1835134"}, {"ref": "kaeken/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "1517261"}, {"ref": "harshaneigapula/dnn-inspired-from-inceptionv3-model", "kernel_id": "1397095"}, {"ref": "henry32144/keras-cnn-0-99", "kernel_id": "1256394"}, {"ref": "giteshj/cnn-filter-visualization-using-keras", "kernel_id": "1814063"}, {"ref": "benbrooks/mnist-recognition", "kernel_id": "1148938"}, {"ref": "jasonduncanwilson/cnn-for-handwritten-digits", "kernel_id": "1767788"}, {"ref": "ernestme/simple-conv-net-for-digit-recongition", "kernel_id": "1442646"}, {"ref": "aakane/digits-recognition-by-randomforest", "kernel_id": "1658575"}, {"ref": "pronkinnikita/vanilatorchcnn", "kernel_id": "1908333"}, {"ref": "varian97/keras-basic-pipeline", "kernel_id": "1507161"}, {"ref": "bbloggsbott/digit-recognizer", "kernel_id": "1439676"}, {"ref": "faizkhan/mnist-with-cnn", "kernel_id": "1557163"}, {"ref": "dsajwan/kernel031668d3ef", "kernel_id": "1290249"}, {"ref": "hvardhan52/mnist-dataset-scikit", "kernel_id": "1705451"}, {"ref": "pritip/digit-recognintion", "kernel_id": "1831925"}, {"ref": "demonlord/exploring-cnn-by-keras", "kernel_id": "1769746"}, {"ref": "gauravgulati9c/intro-to-deep-learning-using-keras-and-tensorflow", "kernel_id": "1475659"}, {"ref": "toshikazuwatanabe/mnist-simple-tensorflow-keras", "kernel_id": "1522344"}, {"ref": "alistja/top-5-using-keras-tf-backend", "kernel_id": "1072562"}, {"ref": "plasticgrammer/digit-recognizer-playground", "kernel_id": "1480912"}, {"ref": "bobby33/digit-recognizer-with-a-convolution-neural-network", "kernel_id": "1283544"}, {"ref": "rihamhazem/svm-first-trial", "kernel_id": "1757791"}, {"ref": "ujwalv/svm-approach-to-image-classification", "kernel_id": "1932825"}, {"ref": "binrey/cnn-model-0-9945", "kernel_id": "1491152"}, {"ref": "binrey/k-neighbour-with-image-cutting-rescaling", "kernel_id": "1498167"}, {"ref": "ravip18596/mnsit", "kernel_id": "1007974"}, {"ref": "alecthekulak/digit-recognizer-01-sk-learn", "kernel_id": "1730958"}, {"ref": "korekim/mnist-digit-recognizer", "kernel_id": "1404564"}, {"ref": "rajaman/mnist-sk", "kernel_id": "1195586"}, {"ref": "anupamgh0sh/mnist-aka-hello-world", "kernel_id": "1840669"}, {"ref": "mallela432/cnn-implementation-with-keras-for-mnist", "kernel_id": "1518893"}, {"ref": "donatastamosauskas/first-take-on-mnist", "kernel_id": "1583430"}, {"ref": "donatastamosauskas/using-resnet-for-mnist", "kernel_id": "1909215"}, {"ref": "serkanpeldek/fork-of-el-yaz-s-rakamlar-n-tan-nmas", "kernel_id": "1286334"}, {"ref": "serkanpeldek/pca-svc-ile-el-yaz-s-rakamlar-n-tan-nmas", "kernel_id": "1252482"}, {"ref": "serkanpeldek/makine-renmesi-İ-in-lineer-cebir", "kernel_id": "1948635"}, {"ref": "pinocookie/pytorch-simple-mlp", "kernel_id": "1466159"}, {"ref": "pinocookie/pytorch-dataset-and-dataloader", "kernel_id": "1426205"}, {"ref": "puneetgrover/training-your-own-cnn-using-pytorch", "kernel_id": "1567801"}, {"ref": "inishchith/deep-neural-network-keras-way", "kernel_id": "1123390"}, {"ref": "burburbub/kernel9401fc7be1", "kernel_id": "1675027"}, {"ref": "naveen664385/hand-written-digits", "kernel_id": "1607832"}, {"ref": "kokheng/digit-recognizer", "kernel_id": "1812284"}, {"ref": "shettyh/recognizing-digits-using-neural-net", "kernel_id": "1202002"}, {"ref": "abhigupta4981/classifying-digits-with-pytorch", "kernel_id": "1900416"}, {"ref": "germey/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "1459812"}, {"ref": "anubhavnatnani99/mnist-keras-cnn", "kernel_id": "1430064"}, {"ref": "jayjoshi31/mnist-cnn-exploration", "kernel_id": "1719732"}, {"ref": "jayjoshi31/mnist-digit-classifier-cnn", "kernel_id": "1705382"}, {"ref": "raghav1810/mnist-digit-recognition-cnn", "kernel_id": "1238803"}, {"ref": "shubhamlink/digit-recognition", "kernel_id": "1078423"}, {"ref": "msousa/mdigitdetermine", "kernel_id": "1797383"}, {"ref": "pavansanagapati/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "1908308"}, {"ref": "acauveri/simple-mlp-classifier-nn", "kernel_id": "1581891"}, {"ref": "acauveri/simple-mlp-classifier", "kernel_id": "1582184"}, {"ref": "jiazhuang/cnn-with-pytorch-for-beginners", "kernel_id": "1009018"}, {"ref": "mlneo07/beginner-deep-learning-using-keras", "kernel_id": "1028873"}, {"ref": "dantelok/neural-networks-cnn", "kernel_id": "1317443"}, {"ref": "vigu93/digit-prediction-using-pca-and-rf-classifier", "kernel_id": "1675461"}, {"ref": "souravdas4/recognizing-digits-using-keras", "kernel_id": "1362116"}, {"ref": "yunjianxin/digit-recognizer-kernel", "kernel_id": "1085711"}, {"ref": "vvyomjjain/cnn-for-mnist", "kernel_id": "1737317"}, {"ref": "jlemains/mnist", "kernel_id": "1126543"}, {"ref": "veshitala/introduction-to-cnn-keras-0-997-top-6-801a04", "kernel_id": "1560676"}, {"ref": "kumar234/digit-rec0gni0n", "kernel_id": "1201364"}, {"ref": "mikelkn/mnist-prediction", "kernel_id": "1673256"}, {"ref": "gainknowledge/mnist-with-cnn-and-keras", "kernel_id": "1562612"}, {"ref": "gainknowledge/mnist-scikit-learn-tutorial", "kernel_id": "1427757"}, {"ref": "roba020/kernelbb43c61093", "kernel_id": "1240659"}, {"ref": "roba020/digit-recognizer-a-beginner-trial", "kernel_id": "1240717"}, {"ref": "richard0326/resnet-test-on-mnist", "kernel_id": "1852925"}, {"ref": "syhatrong/my-cnn-digit-recognition", "kernel_id": "1689765"}, {"ref": "ottpeterr/convolutional-digit-classification-99-acc", "kernel_id": "1186370"}, {"ref": "pragya29/randomforest-knn-digit-recog", "kernel_id": "1483721"}, {"ref": "margaretmz/mnist-with-tf-keras", "kernel_id": "1548638"}, {"ref": "wzx1102k/digit-recognize-use-tensorflow", "kernel_id": "1043700"}, {"ref": "deadskull7/t-sne", "kernel_id": "1232565"}, {"ref": "deadskull7/99-40-keras-top-20", "kernel_id": "1232497"}, {"ref": "deadskull7/99-70-keras-beginner-top-7", "kernel_id": "1276115"}, {"ref": "cla0709/mnist-cnn-vs-capsule", "kernel_id": "1307359"}, {"ref": "cla0709/autoencoder-based-on-convnet-with-keras", "kernel_id": "1308871"}, {"ref": "moichiaaron/numpynist-py", "kernel_id": "1923765"}, {"ref": "leighplt/pytorch-tutorial-dataset-data-preparetion-stage", "kernel_id": "1508835"}, {"ref": "tosin2b/digit-recognizer-using-keras-api", "kernel_id": "1455091"}, {"ref": "menanaeem/deep-cnn", "kernel_id": "1649064"}, {"ref": "niranjanjagannath/lenet-5-architecture-for-mnist-using-tensorflow", "kernel_id": "1310592"}, {"ref": "lonewolf95/classification-tutorial-with-pca-and-gridsearchcv", "kernel_id": "1352865"}, {"ref": "lonewolf95/digit-cnn", "kernel_id": "1709390"}, {"ref": "varunsharmaml/cnn-lenet5-using-keras-score-99-6", "kernel_id": "1359391"}, {"ref": "akshaypatil15/digit-recognizer-using-mlp-neural-net", "kernel_id": "1336941"}, {"ref": "anandthati/mnist-digit-recognition", "kernel_id": "1820192"}, {"ref": "faraazahmad/digits", "kernel_id": "1275053"}, {"ref": "cyrusian/tensorflow-experiment-1", "kernel_id": "1614332"}, {"ref": "lbarbosa/digit-recognizer-with-tensor-flow", "kernel_id": "1400022"}, {"ref": "janati/numberrecorgnisation", "kernel_id": "1883942"}, {"ref": "lakhindr/small-efficient-neural-network-for-mnist", "kernel_id": "1332805"}, {"ref": "lakhindr/mnist-lenet-5-vs-tf-tutorial-cnn-model", "kernel_id": "1333800"}, {"ref": "lakhindr/mnist-dense-layer-vs-resnet-residual-block", "kernel_id": "1287072"}, {"ref": "lakhindr/keras-sequential-functional-models", "kernel_id": "1285372"}, {"ref": "lakhindr/cnn-dense-layer-comparison", "kernel_id": "1141565"}, {"ref": "ybaojia/merge-deep-cnn-with-early-stopping", "kernel_id": "1229375"}, {"ref": "ybaojia/simple-cnn-trained-100-epochs", "kernel_id": "1172238"}, {"ref": "ybaojia/deep-cnn-with-dropout-training-100-epochs", "kernel_id": "1173355"}, {"ref": "ybaojia/merge-deep-cnn", "kernel_id": "1179609"}, {"ref": "ybaojia/deep-rnn", "kernel_id": "1178064"}, {"ref": "kvborkar100/digit-recognizer", "kernel_id": "1400232"}, {"ref": "niclasdoce/vgg16-transfer-learning-sample", "kernel_id": "1501712"}, {"ref": "tejasa97/deep-learning-with-digit-recognizer", "kernel_id": "1997595"}, {"ref": "serenetu/movie-sentiment-analysis", "kernel_id": "1570357"}, {"ref": "serenetu/jiuzhang-knn-sk-learn", "kernel_id": "1470359"}, {"ref": "lengjd/fork-of-knn-framework-37f33f", "kernel_id": "1486635"}, {"ref": "wangyije/kernel8d080de953", "kernel_id": "1372140"}, {"ref": "hmen97/cnn-using-keras", "kernel_id": "1965357"}, {"ref": "maghili/randomforest-96-7", "kernel_id": "1645189"}, {"ref": "maghili/voting98", "kernel_id": "1739744"}, {"ref": "jennyturbo/mnist-deep-learning-basics", "kernel_id": "1079964"}, {"ref": "ralbizures/reconocimiento-de-caracteres", "kernel_id": "1662827"}, {"ref": "ahmednassar/digit-recognizer-with-vgg16", "kernel_id": "1285437"}, {"ref": "maggotbrain/digit-classification", "kernel_id": "1364332"}, {"ref": "desabats/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "1567814"}, {"ref": "dhavaltaunk/digit-recognizer-using-svm", "kernel_id": "1371821"}, {"ref": "dhavaltaunk/digit-recognizer-using-lenet-5", "kernel_id": "1582758"}, {"ref": "dhavaltaunk/digit-recognizer-using-conv-net", "kernel_id": "1588286"}, {"ref": "santoshbothe/digit-recognition", "kernel_id": "1905703"}, {"ref": "shivam8375/mnist-dataset-trying-kaggle", "kernel_id": "1234134"}, {"ref": "rexplorations/keras-cnn-classifier-for-digits-dataset", "kernel_id": "1496273"}, {"ref": "nudeldi/interactive-intro-to-dimensionality-reduction", "kernel_id": "1943376"}, {"ref": "cdeotte/25-million-images-0-99757-mnist", "kernel_id": "1301491"}, {"ref": "cdeotte/how-to-choose-cnn-architecture-mnist", "kernel_id": "1349231"}, {"ref": "cdeotte/mnist-cnn-coded-in-c-0-995", "kernel_id": "1232765"}, {"ref": "cdeotte/mnist-perfect-100-using-knn", "kernel_id": "1282693"}, {"ref": "vidisha25/getting-started-digit-recognizer", "kernel_id": "1453778"}, {"ref": "mehulgupta2016154/my-first-cnn", "kernel_id": "1232868"}, {"ref": "gurpreet23/kernelce8dfefa83", "kernel_id": "1907293"}, {"ref": "gurpreet23/mnist-95-6-deep-nn-with-tesnorflow", "kernel_id": "1957620"}, {"ref": "vigneshwaran34/digitrecogniser", "kernel_id": "1950411"}, {"ref": "efeergun96/simple-deep-mnist", "kernel_id": "1482390"}, {"ref": "victorkuzn1986/mnist-exploration", "kernel_id": "1943467"}, {"ref": "portudo/xception-network", "kernel_id": "1030193"}, {"ref": "harshitavemula/mnist-pca-and-kmeans", "kernel_id": "1404233"}, {"ref": "aeverall/simple-mlpclassifier-neural-network", "kernel_id": "1510522"}, {"ref": "yumengshan/digitrecignizer", "kernel_id": "1004995"}, {"ref": "manishavenger/cnn-keras", "kernel_id": "1235478"}, {"ref": "akshita72/introduction-to-deep-neural-networks", "kernel_id": "1633579"}, {"ref": "kaistella/mnist-20180525-02", "kernel_id": "1024392"}, {"ref": "nidhikargathra/kernel78470774d1", "kernel_id": "1168600"}, {"ref": "nidhikargathra/first-svm", "kernel_id": "1168831"}, {"ref": "andresrios/resnet-50-keras-tf-beging", "kernel_id": "1416721"}, {"ref": "raahat98/digit-classification-with-keras-99-accuracy", "kernel_id": "1497234"}, {"ref": "bludwig0/basic-nn", "kernel_id": "1542110"}, {"ref": "mridul02/digit-recognizer-cnn-keras", "kernel_id": "1235800"}, {"ref": "superuser15/mnist-with-keras-for-beginners-99457-4abcd2", "kernel_id": "1662179"}, {"ref": "superuser15/digit-classification-using-keras", "kernel_id": "1662600"}, {"ref": "superuser15/practicing-image-classification", "kernel_id": "1403043"}, {"ref": "jack89roberts/the-journey-of-an-image-through-a-neural-network", "kernel_id": "1117984"}, {"ref": "hengulkakaty/hand-written-digit-recognition-and-error-analysis", "kernel_id": "1761266"}, {"ref": "hengulkakaty/digit-recogniotion-in-cnn", "kernel_id": "1723663"}, {"ref": "flagma/mnist-and-simple-keras-cnn", "kernel_id": "1011122"}, {"ref": "tatsuyai/cnn-with-keras", "kernel_id": "1519000"}, {"ref": "rumyantsevok/lab5ml", "kernel_id": "1072627"}, {"ref": "jasmeetkaur/my-first-notebook", "kernel_id": "1035260"}, {"ref": "supernew/predict-with-cnn", "kernel_id": "1248138"}, {"ref": "supernew/predict-with-linear-svm-and-random-forest", "kernel_id": "1088119"}, {"ref": "amneves/a-tensorflow-keras-cnn-approach", "kernel_id": "1811546"}, {"ref": "srisudheera/digit-recognizer", "kernel_id": "1373598"}, {"ref": "srisudheera/kernel2298e84a98", "kernel_id": "1368686"}, {"ref": "aorourke/digit-recognizer-with-r", "kernel_id": "1838149"}, {"ref": "eamonnmurray/mnist-digit-recognizer-with-pytorch", "kernel_id": "1053792"}, {"ref": "deltanullnull/tensorflow-mnist-classifier", "kernel_id": "1051209"}, {"ref": "john850512/digit-recognizer-top3-with-cnn", "kernel_id": "1443446"}, {"ref": "giojanjalia/knn-rf-and-svm", "kernel_id": "1070462"}, {"ref": "vincentman0403/mnist-classification-by-cnn-0-996-top-8", "kernel_id": "1224614"}, {"ref": "mrshih/exercise-deep-learning-modeling-from-scratch", "kernel_id": "1845037"}, {"ref": "mrshih/exercise-dropout-strides-for-larger-cnn-models", "kernel_id": "1845100"}, {"ref": "lehoanganh298/a-beginner-s-approach-to-classification", "kernel_id": "1420809"}, {"ref": "lehoanganh298/mnist-digit-recognizer-k-nearest-neighbors", "kernel_id": "1580543"}, {"ref": "lehoanganh298/mnist-digit-recognizer-nearest-center", "kernel_id": "1567275"}, {"ref": "alexgazagnes/mnist-from-ml-to-nn-from-nn-to-dl", "kernel_id": "1495833"}, {"ref": "chenbuntu/mnist-with-cnn-network-using-tensorflow", "kernel_id": "1756632"}, {"ref": "yyyokoy/denoising-autoencoder", "kernel_id": "1797014"}, {"ref": "annatu/knn-digit-recognizer", "kernel_id": "1782821"}, {"ref": "annatu/knn-implementation", "kernel_id": "1782402"}, {"ref": "ashar7/mnist-with-cnns", "kernel_id": "1161800"}, {"ref": "singhsatwinder/minst-digit-data-set-using-cnn-in-keras", "kernel_id": "1850069"}, {"ref": "wzw1985/kernel3b2701d8a0", "kernel_id": "1440082"}, {"ref": "shinyafujita/shinyafujita-digit-02", "kernel_id": "1189803"}, {"ref": "shinyafujita/shinyafujita-digit-01", "kernel_id": "1189196"}, {"ref": "seesea0203/digit-recognizer-knn-sickitlearn", "kernel_id": "1224117"}, {"ref": "seesea0203/digit-recognizer-knn-handwriting", "kernel_id": "1220425"}, {"ref": "iamsudiptasaha/knn-with-additional-data-preprocessing", "kernel_id": "1551253"}, {"ref": "ayush0510/comparing-random-forest-pca-and-knn", "kernel_id": "1017525"}, {"ref": "victorhz/knn-for-mnist", "kernel_id": "1537157"}, {"ref": "victorhz/simple-keras-tensorflow-cnn-on-mnist", "kernel_id": "1482565"}, {"ref": "victorhz/mnist-convoluted-nn-and-keras", "kernel_id": "1512215"}, {"ref": "russbeuker/cnn-with-fast-loading-and-bad-image-removal", "kernel_id": "1041036"}, {"ref": "davidkor/mnist-deepnn-rnn-keras", "kernel_id": "1387808"}, {"ref": "anumit/digit-recognizer", "kernel_id": "1187385"}, {"ref": "szaitseff/fast-lenet5-cnn-in-keras", "kernel_id": "1515892"}, {"ref": "szaitseff/under-the-hood-a-dense-net-w-mnist-dataset", "kernel_id": "1388755"}, {"ref": "bishwaraj/mnist-data-classification-using-tensorflow", "kernel_id": "1623335"}, {"ref": "omkarsabnis/digit-recognizer-using-cnn-keras", "kernel_id": "1054979"}, {"ref": "lljuan330/using-sklearn-knn-to-recognize-digit", "kernel_id": "1178747"}, {"ref": "shumpeiwatanabe/kaggle-shumpei-tutorial", "kernel_id": "1190106"}, {"ref": "rahultesla/digit1", "kernel_id": "1362061"}, {"ref": "indramani/a-beginner-s-approach-to-digit-recognizer", "kernel_id": "1018029"}, {"ref": "dwrafter/mnist-comp", "kernel_id": "1309704"}, {"ref": "pingween/ml-czwartek", "kernel_id": "1082723"}, {"ref": "tannergi/a-keras-intro-working-through-the-mnist-dataset", "kernel_id": "1780406"}, {"ref": "kimhyeongeon/cnn-lenet-keras-model-khg", "kernel_id": "1081457"}, {"ref": "rajmehra03/introduction-to-convnet-in-keras-with-mnist", "kernel_id": "1912593"}, {"ref": "taufikadi/digit-recognizer", "kernel_id": "1480988"}, {"ref": "prince1992/kaggle-mnist", "kernel_id": "1621448"}, {"ref": "mriduleecs/t-sne-visualization-basics-on-mnist-digits-dataset", "kernel_id": "1301380"}, {"ref": "woshiliziming/minist", "kernel_id": "1476476"}, {"ref": "simoniceberg/complex-but-easy-cnn-model-0-99942-top-2", "kernel_id": "1094138"}, {"ref": "shubham99bisht/mnist", "kernel_id": "1312059"}, {"ref": "tt44tt44/mnist-keras-notebook", "kernel_id": "1032900"}, {"ref": "karanjakhar/digit-recognizer", "kernel_id": "1525013"}, {"ref": "aszman/machinelearn", "kernel_id": "1021895"}, {"ref": "rusin321/ml-frycz", "kernel_id": "1021917"}, {"ref": "uysimty/get-start-image-classification", "kernel_id": "1424277"}, {"ref": "dwarkanath/implementing-lenet-on-mnist-dataset", "kernel_id": "1834667"}, {"ref": "hiktsu/a-sample-cnn-by-keras-for-mnist", "kernel_id": "1122877"}, {"ref": "aafrin/cnn-for-absolute-beginner-in-deep-learning-99-12", "kernel_id": "1951447"}, {"ref": "deek88/cnn-pytorch", "kernel_id": "1947832"}, {"ref": "avinsit109/mnist-keras-cnn", "kernel_id": "1402515"}, {"ref": "shikha130vv/mnist-how-close-can-we-get-to-a-full-100", "kernel_id": "1639629"}, {"ref": "pankul/simple-neural-network-accuracy-97-5", "kernel_id": "1090456"}, {"ref": "pkarkh/test-kernel-upload-random-forest", "kernel_id": "1209756"}, {"ref": "madanchi/keras-practice", "kernel_id": "1278341"}, {"ref": "arnavramamoorthy/fork-of-mnist", "kernel_id": "1029413"}, {"ref": "arnavramamoorthy/fork-of-fork-of-mnist", "kernel_id": "1553724"}, {"ref": "arnavramamoorthy/hindi-chars", "kernel_id": "1933996"}, {"ref": "aninditamandal/kernele0b62dd08c", "kernel_id": "1379697"}, {"ref": "mechboyabhishek/digitrecognizer25oct", "kernel_id": "1488646"}, {"ref": "spextreme/easy-neural-network-in-r-for-0-994", "kernel_id": "1188707"}, {"ref": "carlolepelaars/quick-and-small-keras-cnn", "kernel_id": "1899784"}, {"ref": "lmj5929/digit-recogonizer-cnn-deep-lenet", "kernel_id": "1121235"}, {"ref": "ishansoni/digit-recognizer-mnist-dataset", "kernel_id": "1662973"}, {"ref": "hassanamin/keras-neural-network-for-digit-recognition", "kernel_id": "1195173"}, {"ref": "dinuuu/best-recognizer", "kernel_id": "1257588"}, {"ref": "quickwater/a-simple-modification-of-charlie-h-kernel", "kernel_id": "1470154"}, {"ref": "fray88/cnn-for-mnist-script", "kernel_id": "1105347"}, {"ref": "gemaze/visualizing-convolutions", "kernel_id": "1210316"}, {"ref": "meghanarajeev/cnn-first-try", "kernel_id": "1419979"}, {"ref": "rajkkapadia/mnist-resnet-for-beginner", "kernel_id": "1716875"}, {"ref": "sameer99/kernel176d2219ea", "kernel_id": "1690432"}, {"ref": "rahul110/first-kaggle-competition-99-45-keras-cnn", "kernel_id": "1191702"}, {"ref": "cedarjp/keras-mnist", "kernel_id": "1134016"}, {"ref": "honeysingh/mnist-keras", "kernel_id": "1248729"}, {"ref": "honeysingh/cnn-on-mnist", "kernel_id": "1552329"}, {"ref": "jbarnes212/learning-project-digit-recognizer", "kernel_id": "1351792"}, {"ref": "captainilu/digit-recognition-rf", "kernel_id": "1529024"}, {"ref": "captainilu/digit-recognition-nn", "kernel_id": "1529071"}, {"ref": "captainilu/digit-recognizer-svm", "kernel_id": "1522892"}, {"ref": "captainilu/digit-recognition-knn", "kernel_id": "1523554"}, {"ref": "captainilu/digit-recognition-cnn", "kernel_id": "1536309"}, {"ref": "captainilu/digit-recognition-dt", "kernel_id": "1530718"}, {"ref": "cvfcyt/reconocimiento-de-digitos-fcyt", "kernel_id": "1243570"}, {"ref": "funkegoodvibe/a-beginner-s-approach-to-classification", "kernel_id": "1410992"}, {"ref": "fisubus/mnist", "kernel_id": "1657175"}, {"ref": "darkknight91/digits-recognize", "kernel_id": "1553681"}, {"ref": "cristiansalem/mnist-principiante-val-acc-0-99-y-algo-m-s", "kernel_id": "1702029"}, {"ref": "kadvani01/mnist-1st-cut", "kernel_id": "1203131"}, {"ref": "shravankumar9892/mnist-using-tensorflow", "kernel_id": "1432449"}, {"ref": "zhoulingyan0228/mnist-cnn-classifier", "kernel_id": "1230914"}, {"ref": "zhoulingyan0228/mnist-autoencoder-for-fun", "kernel_id": "1285369"}, {"ref": "zhoulingyan0228/generating-mnist-vae", "kernel_id": "1409266"}, {"ref": "zhoulingyan0228/generating-mnist-gan", "kernel_id": "1395354"}, {"ref": "blynxniranjan/keras-acc-0-996-top-10", "kernel_id": "1442592"}, {"ref": "shyamspr/deep-neural-network-with-keras", "kernel_id": "1803353"}, {"ref": "fuzzywizard/beginners-guide-to-cnn-accuracy-99-7", "kernel_id": "1533529"}, {"ref": "winiarski10/digital-recongniser-2-tensorflow", "kernel_id": "1366598"}, {"ref": "itukaiti/digit-recognizer", "kernel_id": "1634311"}, {"ref": "corvuslee/first-dl-notebook-for-mnist", "kernel_id": "1312397"}, {"ref": "kalyankkr/image-classification-from-scratch", "kernel_id": "1938995"}, {"ref": "khotveer1/digit-recognition-solution", "kernel_id": "1265141"}, {"ref": "rajnishtb/digit-recognition", "kernel_id": "1597001"}, {"ref": "optimalmorpher/digit-recognizer-tensorflow-keras", "kernel_id": "1810419"}, {"ref": "windblue/practise", "kernel_id": "1798679"}, {"ref": "josemacario/data-augmentation-data-cleaning-0-981-accuracy", "kernel_id": "1719438"}, {"ref": "josemacario/data-cleaning-for-mnist-score-0-98-w-simple-nn", "kernel_id": "1692557"}, {"ref": "iananich/simplest-keras-model-for-mnist-digit-recognizer", "kernel_id": "1238808"}, {"ref": "jaskarannagi19/getting-started", "kernel_id": "1263556"}, {"ref": "jaskarannagi19/lesson-for-kids-with-hand-digit-dataset-fork", "kernel_id": "1590350"}, {"ref": "jaskarannagi19/lesson-for-kids-with-hand-digit-dataset", "kernel_id": "1583549"}, {"ref": "elkilany/keras-cnn", "kernel_id": "1278972"}, {"ref": "m3eeza/mnist-cnn-classifier", "kernel_id": "1313187"}, {"ref": "mariamdessouki/cnn-mnist", "kernel_id": "1303298"}, {"ref": "peicao/digits-classification-lda", "kernel_id": "1374995"}, {"ref": "deepak525/digit-rec", "kernel_id": "1926321"}, {"ref": "huazaili/alexnet-1", "kernel_id": "1273102"}, {"ref": "mizomatic/mnist-cnn", "kernel_id": "1484816"}, {"ref": "perlinwarp/solving-mnist-using-a-more-complex-cnn", "kernel_id": "1275100"}, {"ref": "perlinwarp/introduction-to-solving-mnist-using-a-cnn", "kernel_id": "1273841"}, {"ref": "supratimhaldar/digit-recognizer-mnist-onevsall-approach", "kernel_id": "1725590"}, {"ref": "charel/learn-by-example-neural-networks-hello-world", "kernel_id": "1278424"}, {"ref": "fooeta/mnist-challenge-mlp", "kernel_id": "1337174"}, {"ref": "fooeta/my-first-mnist-challenge-svm", "kernel_id": "1330186"}, {"ref": "fooeta/fork-of-my-first-mnist-challenge-svm", "kernel_id": "1331789"}, {"ref": "fooeta/mnist-challenge-cnn-2", "kernel_id": "1343120"}, {"ref": "fooeta/mnist-challange-cnn", "kernel_id": "1341462"}, {"ref": "fooeta/mnist-challange-cnn-with-data-augmentation", "kernel_id": "1342019"}, {"ref": "sagar1729sagar/digit-recognition-my-first-ever-notebook", "kernel_id": "1636571"}, {"ref": "sagar1729sagar/classic-lenet-5-network", "kernel_id": "1655691"}, {"ref": "snaily16/digit-recognizer", "kernel_id": "1785316"}, {"ref": "hamahmi/cnnmnist", "kernel_id": "1309485"}, {"ref": "nadeenahmad/mnist-cnn", "kernel_id": "1281374"}, {"ref": "danpavlov/tensorflow-deep-nn-working-on-tensorflow-1-7", "kernel_id": "1336712"}, {"ref": "danpavlov/ref-mnist-cnn-python-classifier-detailed-breakdown", "kernel_id": "1337625"}, {"ref": "kaylio/digit-recognizer", "kernel_id": "1521225"}, {"ref": "kagglerdeepak/digit-recognizer-mnist-with-keras", "kernel_id": "1757575"}, {"ref": "omares/mnist-cnn-classifier", "kernel_id": "1297875"}, {"ref": "samsonqian/softmax-regression-with-tensorflow-mnist", "kernel_id": "1577905"}, {"ref": "samsonqian/keras-convolutional-neural-network", "kernel_id": "1617859"}, {"ref": "mayaralfares/digit-recognizer", "kernel_id": "1300234"}, {"ref": "shivam001/mnist-py", "kernel_id": "1608782"}, {"ref": "sdelecourt/cnn-with-pytorch-for-mnist", "kernel_id": "1981760"}, {"ref": "jasonhotsauce/mnist-cnn", "kernel_id": "1350343"}, {"ref": "seanyee/kernel2160957ab6", "kernel_id": "1605592"}, {"ref": "c0deb0t/mnist-using-mlp", "kernel_id": "1309612"}, {"ref": "c0deb0t/ensembled-cnn-for-mnist", "kernel_id": "1328779"}, {"ref": "fergusmclellan/digit-recognition-using-python-knn-from-scratch", "kernel_id": "1752642"}, {"ref": "abdullahemad12/kernelc841d3f938", "kernel_id": "1313378"}, {"ref": "akumetsu/reconocimiento-de-imagen", "kernel_id": "1341115"}, {"ref": "akashbangera758/mnist-classifier-tf-eager-nn", "kernel_id": "1924374"}, {"ref": "pra1210/digit-recognizer-with-cnn", "kernel_id": "1791766"}, {"ref": "lmzentner/som-mnist-digit-recognizer", "kernel_id": "1731194"}, {"ref": "santibermejo/predicting-digits-with-a-cnn-in-keras", "kernel_id": "1631620"}, {"ref": "kashyapdas/deep-learning-from-scratch", "kernel_id": "1450288"}, {"ref": "kashyapdas/dropout-and-strides-for-larger-models", "kernel_id": "1450345"}, {"ref": "juands/digit-recognizer-first-version", "kernel_id": "1581455"}, {"ref": "bhavanaveturi/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "1884295"}, {"ref": "bigkirill/mnist-db-using-keras", "kernel_id": "1574633"}, {"ref": "harshmp/kernele04f5bd0ea", "kernel_id": "1430559"}, {"ref": "lukascaha/digit-recogniser-cnn", "kernel_id": "1380528"}, {"ref": "majorli/mnist-kaggle-demo", "kernel_id": "1562263"}, {"ref": "guenterino/building-and-exploring-a-nn-from-scratch", "kernel_id": "1507662"}, {"ref": "hreeya/kernel041fa83040", "kernel_id": "1553239"}, {"ref": "hreeya/exercise-dropout-and-strides-for-larger-models", "kernel_id": "1780543"}, {"ref": "metetik/digit-recognization-with-different-alghorithms", "kernel_id": "1671180"}, {"ref": "esbazz/digit-recognizer-v-1-simple-cnn-0-98957", "kernel_id": "1914953"}, {"ref": "gaurav122197/kernele8d8073c50", "kernel_id": "1645910"}, {"ref": "kbalu99/using-google-colab-inference-demo", "kernel_id": "1604251"}, {"ref": "rajnishkgaur/digits-rajnishkgaur", "kernel_id": "1960283"}, {"ref": "markson14/resnet", "kernel_id": "1423738"}, {"ref": "thecodeinnovator/digit-recogniser", "kernel_id": "1425673"}, {"ref": "arebelapart/learning-computer-vision", "kernel_id": "1720574"}, {"ref": "kishore111/digit-recognizer", "kernel_id": "1996630"}, {"ref": "kuval999/kernel01adff727b", "kernel_id": "1557542"}, {"ref": "felper/cnn-with-keras", "kernel_id": "1909759"}, {"ref": "zeghraoui/kaggle-mnist", "kernel_id": "1590461"}, {"ref": "sonna0814/knn-framework", "kernel_id": "1586539"}, {"ref": "mlohit0/exercise-dropout-and-strides-for-larger-models", "kernel_id": "1861495"}, {"ref": "hotrank/knn-framework", "kernel_id": "1479224"}, {"ref": "adon1996/kernel0047f9674e", "kernel_id": "1853900"}, {"ref": "nalsadi/digit-reco", "kernel_id": "1585604"}, {"ref": "leonnie1213/minst-wy-2", "kernel_id": "1609724"}, {"ref": "leonnie1213/minst-wy", "kernel_id": "1609780"}, {"ref": "danrusei/digit-recognizer-cnn-keras", "kernel_id": "1660919"}, {"ref": "exilednick/implementing-softmax-in-nn-from-scratch", "kernel_id": "1509593"}, {"ref": "wwblovesvg/knn-1-w1l3-hw-wenbo-wang", "kernel_id": "1624566"}, {"ref": "guwuca/knn-framework-674f69", "kernel_id": "1505387"}, {"ref": "forestknn/knn-framework", "kernel_id": "1572303"}, {"ref": "helibu/digit-recognizer-with-knn", "kernel_id": "1540181"}, {"ref": "wlogic/mnist", "kernel_id": "1709181"}, {"ref": "celiendonze/mnist-digits", "kernel_id": "1487557"}, {"ref": "easter3163/basic-classification-using-tensorflow-tutorial", "kernel_id": "1808090"}, {"ref": "easter3163/a-beginner-s-approach-to-classification", "kernel_id": "1791716"}, {"ref": "easter3163/introduction-of-cnn", "kernel_id": "1971009"}, {"ref": "dhananjaysingh8969/digit-recogination-myfirst-neural-nets", "kernel_id": "1755580"}, {"ref": "brayanarrietaalfaro/digit-recognizer-with-keras", "kernel_id": "1608214"}, {"ref": "klospascal/short-kernel-random-forest-svc-0-98", "kernel_id": "1812604"}, {"ref": "mojolady/knn-framework-hw1", "kernel_id": "1554905"}, {"ref": "shindeshubham85/fork-digit-recognizer-cnns", "kernel_id": "1626606"}, {"ref": "shindeshubham85/digit-recognizer-basic-mlp", "kernel_id": "1626240"}, {"ref": "mullerlee/a-simple-cnn-with-pytorch-96-7", "kernel_id": "1840667"}, {"ref": "abbracadabra/digit-reckon", "kernel_id": "1632129"}, {"ref": "ramiejleh/digit-recogniser-with-pytorch-a-simple-approach", "kernel_id": "1590179"}, {"ref": "namedh/kernel725779791a", "kernel_id": "1534469"}, {"ref": "imvkhandelwal/mnist-first-submission", "kernel_id": "1615698"}, {"ref": "wangze3/lenet5-for-digital-recognizer", "kernel_id": "1651076"}, {"ref": "dalecl/mnist", "kernel_id": "1554694"}, {"ref": "befree2008/a-beginner-s-approach-to-classification", "kernel_id": "1795068"}, {"ref": "alokm014/mnist-digits-rec", "kernel_id": "1566939"}, {"ref": "kosta324/kernelaffce7a0ff", "kernel_id": "1570822"}, {"ref": "bsvetchine/convolutional-neural-network-for-mnist-using-keras", "kernel_id": "1909475"}, {"ref": "bharathbhat7/digit-recog-tensorflow-only", "kernel_id": "1719319"}, {"ref": "sohamhans19994/vgg-digit-recognizer", "kernel_id": "1930813"}, {"ref": "chaitanyapatil7/mnist-data-keras", "kernel_id": "1593900"}, {"ref": "chaitanyapatil7/titanic-dataset-by-filtering-the-dataset", "kernel_id": "1841002"}, {"ref": "liuxueyancoco/cnn-acc-0-982", "kernel_id": "1782569"}, {"ref": "abhisheksss/first-digit-recognit", "kernel_id": "1741108"}, {"ref": "yurimiguel/rede-neural-do-zero-com-pytorch", "kernel_id": "1808837"}, {"ref": "thangnd197/test-kernel", "kernel_id": "1614689"}, {"ref": "cherednichenkoa/exercise-modeling-from-scratch-54429a", "kernel_id": "1970740"}, {"ref": "johntucker/mnist-dnn", "kernel_id": "1732250"}, {"ref": "jmourad100/digit-recognizer-binaryclassification", "kernel_id": "1892576"}, {"ref": "taroyu/mnist", "kernel_id": "1633643"}, {"ref": "sedrak/cnn-digit-recognition", "kernel_id": "1701854"}, {"ref": "sedrak/digit-recognition-decisiontreeclassifier", "kernel_id": "1660329"}, {"ref": "danielsaromo/mnist-nn-recognizer-v3", "kernel_id": "1853324"}, {"ref": "regaipkurt/digit-recognizer", "kernel_id": "1767311"}, {"ref": "gcheung1/mnist-py", "kernel_id": "1852359"}, {"ref": "mekas0/digit-recognition-mnist", "kernel_id": "1849223"}, {"ref": "cdl1217096231/test-all", "kernel_id": "1955365"}, {"ref": "ilkerayti/mnist-with-keras-0-9938", "kernel_id": "1727964"}, {"ref": "dejoune/chps0942-td-2-run-in-mnist", "kernel_id": "1933068"}, {"ref": "sthanoon/siwei-digit-recognizer-top20", "kernel_id": "1730916"}, {"ref": "mycenae/testcase-of-digit-recognition", "kernel_id": "1866616"}, {"ref": "dadavis4/introduction-to-cnn-keras-0-997-top-6-01a0f2", "kernel_id": "1731768"}, {"ref": "mjidiba/digit-recognizer-with-keras-tutorial-top-18", "kernel_id": "1801185"}, {"ref": "irfzid/digit-recognizer", "kernel_id": "1854230"}, {"ref": "mrizaf/digit-classifier", "kernel_id": "1873152"}, {"ref": "mauraqoonitah/digit-recognition", "kernel_id": "1854223"}, {"ref": "salsarahmadati/digit-recognition", "kernel_id": "1854206"}, {"ref": "aripurnama/digit-recognition", "kernel_id": "1854210"}, {"ref": "faizakmal/digit-recognition", "kernel_id": "1854235"}, {"ref": "nafii06/digit-recognitionn", "kernel_id": "1920200"}, {"ref": "maldini4869/digit-recognition", "kernel_id": "1854212"}, {"ref": "vivi25/digit-recognition", "kernel_id": "1854215"}, {"ref": "fachrymuhammad/digit-recognition-fm", "kernel_id": "1854207"}, {"ref": "marbidwikissaputra/my-digit-classifier", "kernel_id": "1873505"}, {"ref": "maufirf/digit-classifier-forked", "kernel_id": "1873457"}, {"ref": "maufirf/digit-classifier", "kernel_id": "1873131"}, {"ref": "keremaltay/iterative-recognition-using-keras-cnn-s", "kernel_id": "1752803"}, {"ref": "lockheed/my-first-kaggle-project", "kernel_id": "1872059"}, {"ref": "lluthfiy/lecture-3", "kernel_id": "1873189"}, {"ref": "abtexp/fork-of-predtest", "kernel_id": "1940738"}, {"ref": "kangkung/digit-classifier", "kernel_id": "1873470"}, {"ref": "pythonnnn/mnist-with-keras", "kernel_id": "1832110"}, {"ref": "ilhamarr/competition-digit-classifier", "kernel_id": "1873432"}, {"ref": "razkaagniatara/digit-classifier", "kernel_id": "1873133"}, {"ref": "dhikagressa/invalid-title", "kernel_id": "1873144"}, {"ref": "antoniusadrianr/digit-recognition-mnist", "kernel_id": "1873176"}, {"ref": "billycrawford/convnn", "kernel_id": "1837918"}, {"ref": "badouwan/introduction-to-tensorflow-keras", "kernel_id": "1826987"}, {"ref": "soowhanpark/a-beginner-s-approach-to-classification", "kernel_id": "1879563"}, {"ref": "vaibhavbawej07/exercise-dropout-and-strides-for-larger-models", "kernel_id": "1810868"}, {"ref": "vaibhavbawej07/exercise-modeling-from-scratch", "kernel_id": "1810572"}, {"ref": "gasparq/digit-recognition", "kernel_id": "1988027"}, {"ref": "gauravim/handwrittendigitrecognition-using-neural-networks", "kernel_id": "1981288"}, {"ref": "rezkyfananda/digit-recognizer", "kernel_id": "1873186"}, {"ref": "ducklover/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "1933741"}, {"ref": "gsenkowski/kerneld5a9cf8bd2", "kernel_id": "1883900"}, {"ref": "horizonaut/mnist-nn-dense", "kernel_id": "1911024"}, {"ref": "tatlju/digit-recognizer-for-beginners", "kernel_id": "1920055"}, {"ref": "nonose/bung-2-mnist-dataset-auswerten", "kernel_id": "1918932"}, {"ref": "yunisu/test-data-recognizer", "kernel_id": "1910741"}, {"ref": "yunisu/digit-recog", "kernel_id": "1933923"}, {"ref": "phoihoanguyen/digit-recognizer-with-keras", "kernel_id": "1928359"}, {"ref": "th0sch/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "1930027"}, {"ref": "lexyschmitz/mnist-tensorflow", "kernel_id": "1941043"}, {"ref": "pwuerz/kernel876b878ef7", "kernel_id": "1925271"}, {"ref": "felixsatt/mnist-cnn-using-keras-for-dr-competition", "kernel_id": "1908204"}, {"ref": "lenavolbach/mnist-digit-recognizer-with-keras", "kernel_id": "1925942"}, {"ref": "aimdata/digit-recognizer", "kernel_id": "1980012"}, {"ref": "jennifera/mnist-digit-recognizer", "kernel_id": "1913374"}, {"ref": "cloudchaser91/praktische-aufgabe-2-mnist-erkennen-von-zahlen", "kernel_id": "1943616"}, {"ref": "annital/mnist-pytorch-first-try", "kernel_id": "1931630"}, {"ref": "maasda/int-digit-recognizer", "kernel_id": "1920983"}, {"ref": "karmikaramell/mnist-cnn-w-keras", "kernel_id": "1926333"}, {"ref": "dominik10041991/competition-digit-recognizer", "kernel_id": "1909489"}, {"ref": "peisuu/rookie-try-cnn-similar-with-alexnet", "kernel_id": "1877522"}, {"ref": "toegelmachine/mnist-digit-recognizer", "kernel_id": "1928650"}, {"ref": "kaisab/neural-network-approach", "kernel_id": "1932545"}, {"ref": "spiderschein/simple-approach-with-keras-and-cnn", "kernel_id": "1921237"}, {"ref": "ne75680/kernel74dfcb8ac3", "kernel_id": "1937497"}, {"ref": "jinrae/a-beginner-s-approach-to-classification", "kernel_id": "1900110"}, {"ref": "iftekharanam/ensemble-classifiers", "kernel_id": "2110387"}, {"ref": "wailapranav/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "2480453"}, {"ref": "dsoreo/two-layer-neural-network-with-tensorflow", "kernel_id": "2568703"}, {"ref": "yuikns/basic-cnn", "kernel_id": "2999133"}, {"ref": "shilparai/logistic-regression-with-pca-94-accuracy", "kernel_id": "2011363"}, {"ref": "udaygurugubelli/cnn-using-tensorflow-0-992", "kernel_id": "2479430"}, {"ref": "hamelg/intro-to-r-part-16-dealing-with-dates", "kernel_id": "2959549"}, {"ref": "antonk/mnist-trying-and-tuning-different-models", "kernel_id": "2075224"}, {"ref": "skathirmani/kernel265f4dfc32", "kernel_id": "2108741"}, {"ref": "shubhamaggarwal1/character-recognition-using-neural-network-sklearn", "kernel_id": "2624160"}, {"ref": "zhuxiaofengwww/knn-framework", "kernel_id": "2230757"}, {"ref": "cli1215789/mnist-rf-1", "kernel_id": "2893913"}, {"ref": "nadanai263/mnist-with-keras-template", "kernel_id": "2002809"}, {"ref": "scottclowe/testing-gpu-enabled-notebooks-mnist-pytorch", "kernel_id": "2144958"}, {"ref": "nitinaggarwal008/mnist-with-convnets-accuracy-0-999-top-3", "kernel_id": "2092129"}, {"ref": "nitinaggarwal008/digit-recognizer-using-cnn-basic-0-99-score", "kernel_id": "2027097"}, {"ref": "sherrytan/mnist", "kernel_id": "2811210"}, {"ref": "aneva338091/starter-code-svm-cnn-image-processing", "kernel_id": "2094353"}, {"ref": "chdhatri/mnist-with-cnn", "kernel_id": "2935495"}, {"ref": "tejaswi/first-cnn", "kernel_id": "2028253"}, {"ref": "couronne/drop-the-dropout", "kernel_id": "2910608"}, {"ref": "pikkupr/mnist-simple-ann", "kernel_id": "2057839"}, {"ref": "chintan5384/digit-recognition", "kernel_id": "2909909"}, {"ref": "kpthomasfu/try-cnn-from-the-code-from-deep-learning-coursera", "kernel_id": "2764413"}, {"ref": "mburum/digit-recognition", "kernel_id": "2586662"}, {"ref": "vabatista/laborat-rio-7-modelos-de-agrupamento", "kernel_id": "2405440"}, {"ref": "kopylovlvad/digit-recognizer-with-scikit-learn", "kernel_id": "2068203"}, {"ref": "davengo/kernel0b8ec03c27", "kernel_id": "2189641"}, {"ref": "junrong/diffractive-networks-for-optical-machine-learning", "kernel_id": "2168037"}, {"ref": "anodev/kernela5f5d376b3", "kernel_id": "2273469"}, {"ref": "andresarrieche7/digit-recognizer-k-nearest-neighbors-scikitlearn", "kernel_id": "2943798"}, {"ref": "valerasarapas/keras-siamese-network-on-mnist", "kernel_id": "2764760"}, {"ref": "majickdave/keras-mlp-0-995", "kernel_id": "2147329"}, {"ref": "bayern/practice-deep-learning-ai", "kernel_id": "2018215"}, {"ref": "rbk1988/mnist-using-neural-nets-part-1", "kernel_id": "2528389"}, {"ref": "bhavesh09/deep-learning-with-python-chapter-2", "kernel_id": "2144177"}, {"ref": "u6yuvi/mnist-in-keras", "kernel_id": "2761631"}, {"ref": "u6yuvi/dl-with-pytorch-mnist-classification", "kernel_id": "2143073"}, {"ref": "nielsdonders/detect-digits", "kernel_id": "2583616"}, {"ref": "pankaj1234/mnist-solver", "kernel_id": "2583104"}, {"ref": "akhilvjose/mnist-cnn-new", "kernel_id": "2519166"}, {"ref": "saiadityag/digit-recogniser-knn-demon9996", "kernel_id": "2564747"}, {"ref": "tharunreddy/simple-cnn-with-keras-callbacks-0-997-top-8", "kernel_id": "2385147"}, {"ref": "ruchibahl18/mnist-neural-networks", "kernel_id": "2051775"}, {"ref": "sourav13/digit-recognition-using-cnn-and-keras", "kernel_id": "2285148"}, {"ref": "sharathnair/digit-recognizer-kernel-using-svm", "kernel_id": "2660033"}, {"ref": "sharathnair/digit-recognizer-using-decision-tree", "kernel_id": "2682108"}, {"ref": "sharathnair/digit-recognizer-using-random-forest", "kernel_id": "2774038"}, {"ref": "kenichinakatani/create-adversarial-examples", "kernel_id": "2734620"}, {"ref": "matthewarthur/pytorch-mnist", "kernel_id": "2535747"}, {"ref": "ishaansaxena/mnist-with-cnn", "kernel_id": "2708500"}, {"ref": "manojitgordon/ml-assignment-accuracy-of-dt-rf-ada-boost", "kernel_id": "2134172"}, {"ref": "kimiyuan/mnist-practice-using-cnn-keras", "kernel_id": "2455575"}, {"ref": "rajashri/level-0-mnist", "kernel_id": "2068891"}, {"ref": "harrypotter0/beginner-s-guide-to-kaggle-kernels-1-cnn", "kernel_id": "2078901"}, {"ref": "residentmario/restricted-boltzmann-machines-and-pretraining", "kernel_id": "2266020"}, {"ref": "harris13/mnist", "kernel_id": "2799344"}, {"ref": "syslogg/knn-to-identify-digits", "kernel_id": "2336385"}, {"ref": "neuronq/the-unreasonable-effectiveness-of-random-forests", "kernel_id": "2734176"}, {"ref": "desiredewaele/achieving-99-on-mnist", "kernel_id": "2121830"}, {"ref": "njalan/cnn-for-hand-digit-recognition", "kernel_id": "2063988"}, {"ref": "njalan/linear-regression-for-hand-digit-recognition", "kernel_id": "2030275"}, {"ref": "ntchdy/mnist-basic-classifier-using-keras", "kernel_id": "2158849"}, {"ref": "a45632/fastai-example-wolf-vs-husky", "kernel_id": "2972061"}, {"ref": "thechange/kernel434c561ae0", "kernel_id": "2069509"}, {"ref": "ashishpatel26/tensorflow-for-beginner-to-advance", "kernel_id": "2441886"}, {"ref": "ashishpatel26/zero-to-hero-in-fastai", "kernel_id": "2179051"}, {"ref": "ddmngml/vgg16-trained-from-scratch-0-99600", "kernel_id": "2790951"}, {"ref": "ddmngml/data-augmentation-with-keras-imagedatagenerator", "kernel_id": "2715612"}, {"ref": "okdidns/exercise-deep-learning-from-scratch", "kernel_id": "2398134"}, {"ref": "okdidns/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2418969"}, {"ref": "sabasiddiqi/pickle-and-dump", "kernel_id": "2462220"}, {"ref": "bkhmsi/exploring-different-loss-functions-on-mnist", "kernel_id": "2112759"}, {"ref": "ilyajob05/mnist-ordinary-digitizer-classification-pytorch", "kernel_id": "2217921"}, {"ref": "munirsalman/kurzer-einblick-in-ml-mit-python", "kernel_id": "2487272"}, {"ref": "whitewizard/mnist-beginners-keras-model", "kernel_id": "2120964"}, {"ref": "jcatanza/fast-ai-machine-learning-lesson-4", "kernel_id": "2046672"}, {"ref": "arunkumarramanan/hands-on-ml-with-scikit-learn-and-tensorflow-tbu", "kernel_id": "2379569"}, {"ref": "arunkumarramanan/tensorflow-tutorial-and-housing-price-prediction", "kernel_id": "2379358"}, {"ref": "arunkumarramanan/practical-machine-learning-with-pytorch-tbu", "kernel_id": "2371261"}, {"ref": "arunkumarramanan/awesome-ds-for-beginners-with-titanic-exploration", "kernel_id": "2290269"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "arunkumarramanan/awesome-deep-learning-with-cnn-mnist-classifier", "kernel_id": "2272643"}, {"ref": "arunkumarramanan/awesome-ml-and-text-classification-movie-reviews", "kernel_id": "2272874"}, {"ref": "arunkumarramanan/awesome-ml-frameworks-and-mnist-classification", "kernel_id": "2270215"}, {"ref": "arunkumarramanan/data-science-python-fuel-efficiency-prediction", "kernel_id": "2272905"}, {"ref": "arunkumarramanan/data-science-in-r-and-titanic-survival-prediction", "kernel_id": "2272949"}, {"ref": "arunkumarramanan/machine-learning-toolkits-awesome-ml-resources", "kernel_id": "2518488"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "lider123/mnist", "kernel_id": "2158474"}, {"ref": "amawandia/keras-mnist", "kernel_id": "2380883"}, {"ref": "sparshdutta/can-you-predict-the-next-digit", "kernel_id": "2893246"}, {"ref": "meserr/convolutional-neural-network", "kernel_id": "2007512"}, {"ref": "yliu40/knn-framework-1f9892", "kernel_id": "2328714"}, {"ref": "sravan1701/digit-recognizer-keras-tensorflow", "kernel_id": "2045337"}, {"ref": "sahmadef/cnn-digit-recognizer-with-keras", "kernel_id": "2351573"}, {"ref": "igorslima/tutorial-empreenday", "kernel_id": "2216531"}, {"ref": "kaimingk/a-beginner-s-guide-cnn-with-keras", "kernel_id": "2617477"}, {"ref": "askhanna/intro-deep-learning-with-keras", "kernel_id": "2888955"}, {"ref": "venktesh/digit-recognizer", "kernel_id": "2851644"}, {"ref": "manutddeep/kernel46335c2924", "kernel_id": "2821610"}, {"ref": "manutddeep/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2833069"}, {"ref": "yuta0001/keras-cnn-score-0-99442-in-japanese", "kernel_id": "2215052"}, {"ref": "southman/cnn-model", "kernel_id": "2287728"}, {"ref": "siddharthroy/using-bidirectional-lstm", "kernel_id": "2616739"}, {"ref": "antoinekrajnc/digit-detection-with-svm", "kernel_id": "2460651"}, {"ref": "sagarjain2030/digit-recognizer", "kernel_id": "2803275"}, {"ref": "sagarjain2030/mnist-logisticregression", "kernel_id": "2908976"}, {"ref": "krunal3kapadiya/mnist-digit-recognition-with-tensoflow", "kernel_id": "2463236"}, {"ref": "diegomrod/numpy-neural-network-help-needed", "kernel_id": "2645177"}, {"ref": "nauyan/digitrecognizer", "kernel_id": "2237787"}, {"ref": "jorgeno/mnist-ensemble-with-separableconvolutions", "kernel_id": "2398330"}, {"ref": "ecardin/week-4-mnist-using-keras", "kernel_id": "2074204"}, {"ref": "ualex1/ten-lines-of-python-code-96-8-accuracy", "kernel_id": "2699151"}, {"ref": "jd81197/kernelb99c565923", "kernel_id": "2947950"}, {"ref": "jd81197/kernel0195d8b796", "kernel_id": "2936855"}, {"ref": "aniirudh/using-tf-estimators-96-accuracy-baseline", "kernel_id": "2762203"}, {"ref": "hyonirho/mnist-digit-recognizer", "kernel_id": "2380486"}, {"ref": "fawadahmed322/digit-recognition", "kernel_id": "2575217"}, {"ref": "vishnuvreddy/mnist", "kernel_id": "2692097"}, {"ref": "accepteddoge/mnist-knn-with-numpy", "kernel_id": "2309580"}, {"ref": "shivammittal99/exercise-modeling-from-scratch", "kernel_id": "2183563"}, {"ref": "shivammittal99/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2183616"}, {"ref": "franklemuchahary/mnist-digit-recognition-using-pytorch", "kernel_id": "2289225"}, {"ref": "dczerniawko/mnist-cnn", "kernel_id": "2401339"}, {"ref": "mshri628/mnist-kaggle", "kernel_id": "2400283"}, {"ref": "divyadeep/digit-recogniser-with-99-accuracy", "kernel_id": "2125915"}, {"ref": "wordroid/digit-recognizer-rbf-2-features-ensemble-0-99657", "kernel_id": "2797250"}, {"ref": "wordroid/digit28-2-features-gkernel-bn-gkgk-ensemble008", "kernel_id": "2801197"}, {"ref": "wordroid/digit28-2-features-gkernel-bn-gkgk-s10001", "kernel_id": "2779302"}, {"ref": "wordroid/digit28-2-features-gkernel-bn-gkgk-s10002", "kernel_id": "2779306"}, {"ref": "wordroid/digit28-2-features-gkernel-bn-gkgk-s10003", "kernel_id": "2779308"}, {"ref": "wordroid/digit28-2-features-gkernel-bn-gkgk-s10004", "kernel_id": "2779310"}, {"ref": "wordroid/digit28-2-features-gkernel-bn-gkgk-s10005", "kernel_id": "2779313"}, {"ref": "wordroid/digit28-2-features-gkernel-bn-gkgk-s10006", "kernel_id": "2779314"}, {"ref": "wordroid/digit28-2-features-gkernel-bn-ensemble018", "kernel_id": "2739690"}, {"ref": "wordroid/digit28-only-2-features-gkernel-bn-5-s10001", "kernel_id": "2720607"}, {"ref": "wordroid/digit28-only-2-features-gkernel-bn-5-s10002", "kernel_id": "2720728"}, {"ref": "wordroid/digit28-only-2-features-gkernel-bn-5-s10003", "kernel_id": "2720731"}, {"ref": "wordroid/digit28-only-2-features-gkernel-bn-5-s10004", "kernel_id": "2720874"}, {"ref": "wordroid/digit28-only-2-features-gkernel-bn-5-s10005", "kernel_id": "2720885"}, {"ref": "wordroid/digit28-only-2-features-gkernel-bn-5-s10006", "kernel_id": "2720899"}, {"ref": "wordroid/digit28-only-2-features-gkernel-bn-2-ensemble007", "kernel_id": "2720926"}, {"ref": "jprukundo/on-fourier-series-neural-network-architecture", "kernel_id": "2142212"}, {"ref": "jprukundo/on-taylor-series-neural-network-architecture", "kernel_id": "2128851"}, {"ref": "angelgmedina/digits-recognition-neural-network-cnn-with-keras", "kernel_id": "2136304"}, {"ref": "barbarasilveiraf/digit-recognizer-random-forest", "kernel_id": "2850242"}, {"ref": "hengzheng/no-dropout-vs-dropout-vs-dropconnect-on-cnn", "kernel_id": "2297704"}, {"ref": "hengzheng/no-dropout-vs-dropout-vs-dropconnect", "kernel_id": "2296414"}, {"ref": "hengzheng/autoencoder-and-classification", "kernel_id": "2335023"}, {"ref": "brekhnaa/digits-recognizer", "kernel_id": "2599330"}, {"ref": "tywangty/exercise-deep-learning-from-scratch", "kernel_id": "2428420"}, {"ref": "tywangty/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2428578"}, {"ref": "emadtolba/deep-learning-with-keras", "kernel_id": "2251754"}, {"ref": "emadtolba/cnn-with-keras", "kernel_id": "2386521"}, {"ref": "dudu197/digit-reconigition-with-keras-cnn", "kernel_id": "2227451"}, {"ref": "yoshitha5/mnist-digit-recognition", "kernel_id": "2269271"}, {"ref": "dejavu23/mnist-sklearn-and-keras", "kernel_id": "2908627"}, {"ref": "acaciopassos/testing-cnn-topologies", "kernel_id": "2010125"}, {"ref": "acaciopassos/digits-cnn-ensemble", "kernel_id": "2004105"}, {"ref": "nishankmagoo/learn-dimensionality-reduction-from-mnist-dataset", "kernel_id": "2455872"}, {"ref": "s00100624/digit-image-clustering-via-autoencoder-kmeans", "kernel_id": "2186151"}, {"ref": "shaitender/light-gbm-digit-recognizer-way-10-lines-tutorial", "kernel_id": "2112076"}, {"ref": "dileepkumarg/mnist-digit-recognition-cnn", "kernel_id": "2522954"}, {"ref": "rainversion3/a-cnn-approach-for-mnist-using-tensorflow", "kernel_id": "2359288"}, {"ref": "filipsivak/keras-dnn-hello-world", "kernel_id": "2786818"}, {"ref": "gauravnaruka/digit-recognizer-classification-algorithms", "kernel_id": "2252205"}, {"ref": "pranavraizada/digit-recogniser", "kernel_id": "2531975"}, {"ref": "andytran11996/mnist-with-k-nearest-neighbors", "kernel_id": "2140672"}, {"ref": "andytran11996/mnist-with-decisiontree", "kernel_id": "2192772"}, {"ref": "kevinyi/introduction-to-cnn-keras-0-997-top-6-114a13", "kernel_id": "2479538"}, {"ref": "vpatki08/myversion-1", "kernel_id": "2211504"}, {"ref": "michmzr/cnn-minimum-preprocessing", "kernel_id": "2452957"}, {"ref": "animikhaich/digit-recogniser-using-cnn", "kernel_id": "2030210"}, {"ref": "alokevil/simple-digit-recognition-with-accuracy-99-557", "kernel_id": "2530157"}, {"ref": "freddycoder/digitsrecongnitions", "kernel_id": "2147749"}, {"ref": "jasonduncanwilson/exercise-deep-learning-modeling-from-scratch", "kernel_id": "2072256"}, {"ref": "jasonduncanwilson/exercise-deep-dropout-stride-on-larger-model", "kernel_id": "2077934"}, {"ref": "x8x8d3n9/a-simple-cnn-conv-pooling-dense", "kernel_id": "2409218"}, {"ref": "debsy3/introduction-to-digit-recognition-using-knn", "kernel_id": "2081350"}, {"ref": "suniliitb96/fast-ai-classification-with-mnist-digits", "kernel_id": "2026689"}, {"ref": "vincentkr18/beginner-autoencoders-using-keras", "kernel_id": "2604987"}, {"ref": "sunilks1/digit-recognizer-ml", "kernel_id": "2211333"}, {"ref": "takaoo/digit-recognition-practice", "kernel_id": "2485600"}, {"ref": "anirbanshaw24/convnet-digit-recognizer", "kernel_id": "2898470"}, {"ref": "aktaruzzaman/digit-reco-aman", "kernel_id": "2074795"}, {"ref": "jingsheng/svm-with-smo", "kernel_id": "2058936"}, {"ref": "godofprogramming/mnist-raw-deeplearning", "kernel_id": "2900596"}, {"ref": "amarnathreddy/mnist-classification", "kernel_id": "2480076"}, {"ref": "mgiraygokirmak/keras-cnn-multi-model-ensemble-with-voting", "kernel_id": "2075583"}, {"ref": "mgiraygokirmak/keras-cnn-implementation", "kernel_id": "2066972"}, {"ref": "toodef/cnn-training-with-less-code", "kernel_id": "2934623"}, {"ref": "pemtaira/digit-recognizer-with-fast-ai-v3", "kernel_id": "2076573"}, {"ref": "pabloleo96/digit-recognizer-using-keras-cnn", "kernel_id": "2004911"}, {"ref": "choonje/mnist-digit-recognition-with-keras-and-tensorflow", "kernel_id": "2157608"}, {"ref": "vigneshsubramanians/digit-classifier", "kernel_id": "2899616"}, {"ref": "ramajinka/visualize-network-with-tensorboard", "kernel_id": "2005578"}, {"ref": "jhancock1975/exercise-deep-learning-from-scratch", "kernel_id": "2426679"}, {"ref": "jhancock1975/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2428027"}, {"ref": "premvardhan/simple-mlp-architecture-on-mnist", "kernel_id": "2669774"}, {"ref": "premvardhan/cnn-on-mnist-using-keras", "kernel_id": "2700585"}, {"ref": "wdsrocha/mnist-lenet", "kernel_id": "2448058"}, {"ref": "serkanpeldek/derin-renmenin-temelleri", "kernel_id": "2733571"}, {"ref": "arpitjain007/cnn-using-mnist-dataset", "kernel_id": "2485721"}, {"ref": "arpitjain007/visualizing-of-cnn", "kernel_id": "2667153"}, {"ref": "rodasoares/mnist-digit-recognizer-tf-keras", "kernel_id": "2751811"}, {"ref": "zhangyk11/knn-framework-0bad69", "kernel_id": "2314467"}, {"ref": "gabimelo/convolutional-neural-networks", "kernel_id": "2558700"}, {"ref": "gunishj/exercise-deep-learning-from-scratch", "kernel_id": "2648653"}, {"ref": "gunishj/exercise-dropout-and-strides-for-larger-model", "kernel_id": "2650400"}, {"ref": "vkhand/digit-recognition-using-cnn", "kernel_id": "2006851"}, {"ref": "iavinas/basics-of-cnn-accuracy-99-mnist", "kernel_id": "2744205"}, {"ref": "rappavu/mnist-digit-recognizer-using-keras", "kernel_id": "2494132"}, {"ref": "codesail/practice-cnn-with-keras", "kernel_id": "2577553"}, {"ref": "crystyfay/knn-framework-d1a911", "kernel_id": "2198390"}, {"ref": "faysalislam/25-million-images-0-99757-mnist-2df45f", "kernel_id": "2690602"}, {"ref": "rameezraza/mnist-digit-recognizer", "kernel_id": "2627894"}, {"ref": "mlpotter/pytorch-cnn-beginner", "kernel_id": "2787411"}, {"ref": "vj1998/try-various-cnn-networks-on-mnist", "kernel_id": "2234514"}, {"ref": "alexeydudchenko/onemoremnist", "kernel_id": "2727627"}, {"ref": "alexeydudchenko/first-mnist", "kernel_id": "2726968"}, {"ref": "leo223/keras-model-99-485-leaderboard-cnn", "kernel_id": "2584971"}, {"ref": "hellofriday/knn-framework-9673db", "kernel_id": "2446903"}, {"ref": "rabinandan/mnist-solution-with-sci-kit-learn-and-pytorch", "kernel_id": "2456632"}, {"ref": "thirumalalagu/cnn-for-beginner-digital-recognizer", "kernel_id": "2725313"}, {"ref": "dsaichand3/mnist-classifier-in-pytorch", "kernel_id": "2164564"}, {"ref": "lieblos/knn-cnn-ensembling", "kernel_id": "2127097"}, {"ref": "kmlukasiewicz/method-comparison-to-digit-recognizer", "kernel_id": "2073821"}, {"ref": "kbarun/kernel60d3884c04", "kernel_id": "2516879"}, {"ref": "ibtesama/unboxing-the-black-box", "kernel_id": "2709066"}, {"ref": "gayathrireddy/digit-recognition-1", "kernel_id": "2108867"}, {"ref": "kravigupta/digit-recognizer", "kernel_id": "2414757"}, {"ref": "ashishguptadss/kaggle-mnist-using-cnn", "kernel_id": "2658543"}, {"ref": "isr1512/simple-cnn-code-to-be-in-the-top-30-99-2", "kernel_id": "2873885"}, {"ref": "jander081/tf-using-datalab-google", "kernel_id": "2623557"}, {"ref": "rinki24/mnist-digit-classification", "kernel_id": "2079687"}, {"ref": "saths075/digit-recognition-with-img-cnn-aug-accuracy-99-4", "kernel_id": "2616125"}, {"ref": "srividyasure/hand-written-digit-recognizer", "kernel_id": "2315725"}, {"ref": "dumbo666/digit-recognizer-different-methods", "kernel_id": "2625112"}, {"ref": "caghank/logistic-regression-vs-neural-network-vs-cnn", "kernel_id": "2862211"}, {"ref": "tarptaeya/mnist-using-random-forest", "kernel_id": "2833549"}, {"ref": "tanmayvakare06/using-cnn-on-pytorch", "kernel_id": "2243185"}, {"ref": "haythemhsine/cnn-by-keras", "kernel_id": "2122672"}, {"ref": "shishishishi/cnn-with-tensorflow-gpu", "kernel_id": "2612891"}, {"ref": "vishwarrior/ml-models-for-assignment", "kernel_id": "2108926"}, {"ref": "moffidani/mnist-dataset-a-starting-point-notebook", "kernel_id": "2024945"}, {"ref": "kevintoms/kernelb73c2a193f", "kernel_id": "2811219"}, {"ref": "kralmachine/digit-recognizer", "kernel_id": "2196133"}, {"ref": "prasad0896/onehotencoder", "kernel_id": "2728279"}, {"ref": "vgadevik/mnist", "kernel_id": "2051596"}, {"ref": "rahulvs94/digit-recognizer-using-lstm-and-cudnn", "kernel_id": "2887786"}, {"ref": "yash872/mnist-digit-recognizer", "kernel_id": "2458068"}, {"ref": "xianng/deskew-hog-svm", "kernel_id": "2228433"}, {"ref": "zhffk37/starmooc-mnist-challenge-example", "kernel_id": "2308296"}, {"ref": "mentalwanderer/workflow-with-keras-cnn", "kernel_id": "2589223"}, {"ref": "mlobo1997/digit-recognizer-with-svm-binarization-and-pca", "kernel_id": "2763082"}, {"ref": "gangwareshita/digit-recog", "kernel_id": "2639800"}, {"ref": "pulkitjindal/mnist-using-convolution-neural-network", "kernel_id": "2493075"}, {"ref": "adheshgarg/testing-images", "kernel_id": "2619718"}, {"ref": "adheshgarg/testing-random-images-from-internet", "kernel_id": "2617126"}, {"ref": "adheshgarg/kernelc3ca7d051d", "kernel_id": "2747335"}, {"ref": "adheshgarg/cnn-with-4-layers", "kernel_id": "2537437"}, {"ref": "dharit/recurrent-neural-network-with-pytorch", "kernel_id": "2059667"}, {"ref": "josh24990/recognising-digits-with-keras-top-8-score", "kernel_id": "2742944"}, {"ref": "abdul002/digit-recogniser-using-keras", "kernel_id": "2161705"}, {"ref": "andriyantohalim/digits-kernel-v1-2", "kernel_id": "2734582"}, {"ref": "duketemon/introduction-to-deep-learning-for-beginners", "kernel_id": "2862113"}, {"ref": "babbler/mnist-data-augmentation-with-elastic-distortion", "kernel_id": "2391329"}, {"ref": "babbler/low-parameter-inception-model-for-mnist", "kernel_id": "2619265"}, {"ref": "apoorvakesarwani/digit-recognizer-classification-algorithms", "kernel_id": "2204240"}, {"ref": "iraless01/base-mnist-keras", "kernel_id": "2292497"}, {"ref": "ram03mld/digit-recognizer", "kernel_id": "2707906"}, {"ref": "w22yuan/knn-digit-revognizer", "kernel_id": "2275816"}, {"ref": "chuckivan/mnist-digit-classification", "kernel_id": "2095974"}, {"ref": "normanshan/digital-number-recognition", "kernel_id": "2430565"}, {"ref": "sreshtha/digit-recognizer", "kernel_id": "2650472"}, {"ref": "wbtoms74/digit-recognizer-cnn", "kernel_id": "2937784"}, {"ref": "mpollind/conv-net-mnist", "kernel_id": "2246192"}, {"ref": "mpollind/probabilstic-neural-network-mnist", "kernel_id": "2209941"}, {"ref": "mpollind/titanic-data-probabilistic-neural-network", "kernel_id": "2211640"}, {"ref": "naraque/keras-cnn", "kernel_id": "2480007"}, {"ref": "naraque/fork-of-keras-cnn-dropconnect", "kernel_id": "2498610"}, {"ref": "ratinkumar/kernel4e1dd0f91a", "kernel_id": "2568635"}, {"ref": "chaitanyamadaka/a-beginner-s-approach-to-classification", "kernel_id": "2732739"}, {"ref": "chaitanyamadaka/a-beginner-s-approach-to-classification-1f57d6", "kernel_id": "2732740"}, {"ref": "chaitanyamadaka/deep-neural-network-keras-way-1c5a44", "kernel_id": "2740542"}, {"ref": "chaitanyamadaka/deep-neural-network-keras-way", "kernel_id": "2739797"}, {"ref": "chaitanyamadaka/deep-neural-network-keras-way-4002bd", "kernel_id": "2741703"}, {"ref": "corrrado/is-100-accuracy-meaningless", "kernel_id": "2289010"}, {"ref": "farlley/digit-recognizer", "kernel_id": "2198541"}, {"ref": "hiroccini/simple-nn-with-no-tensorflow", "kernel_id": "2680916"}, {"ref": "arihant0497/introduction-to-neural-networks-using-pytorch", "kernel_id": "2171128"}, {"ref": "rvinamra/digit-recognizer-mnist", "kernel_id": "2408317"}, {"ref": "gauravkoradiya/neural-network-approach", "kernel_id": "2020243"}, {"ref": "marconijiang/kerneld1733eae1d", "kernel_id": "2409165"}, {"ref": "bigkizd/digit-recognizer-cnn-with-tensorflow", "kernel_id": "2404068"}, {"ref": "atulraj151/kernel15e57a9986", "kernel_id": "2949109"}, {"ref": "cedriclacrambe/digit-test", "kernel_id": "2367807"}, {"ref": "vasukalariya/mnist-using-cnn-keras-98-8-accuracy", "kernel_id": "2942813"}, {"ref": "onnsbrd/simple-digit-recognizer-using-cnn", "kernel_id": "2202918"}, {"ref": "hassanamin/perceptrons-and-other-animals", "kernel_id": "2233521"}, {"ref": "hassanamin/exploring-cnn-on-mnist", "kernel_id": "2523538"}, {"ref": "shrinjitdash/kernel054c057368", "kernel_id": "2205469"}, {"ref": "aaneloy/digit-recognizer-xgboost", "kernel_id": "2559678"}, {"ref": "motherhacker/digitrecognizer", "kernel_id": "2457399"}, {"ref": "enashay/ensemble-method-on-digit-recognizer", "kernel_id": "2701135"}, {"ref": "rdmisal/recognizing-digits-using-deep-learning", "kernel_id": "2724752"}, {"ref": "shrmis/digit-recognizer", "kernel_id": "2034540"}, {"ref": "navneetkr123/handwritten-digit-recognition-using-random-forest2", "kernel_id": "2273754"}, {"ref": "themousepotato/mnist-classification-pytorch-cnn", "kernel_id": "2720932"}, {"ref": "debanjan02/digit-recognizer", "kernel_id": "2974349"}, {"ref": "janakrathod/mnist-digit-recognizer-0-9", "kernel_id": "2102860"}, {"ref": "shyamspr/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "2262405"}, {"ref": "skjha98/digit-recognizer-cnn-keras", "kernel_id": "2427153"}, {"ref": "vishdumont/digit-recognizer", "kernel_id": "2023638"}, {"ref": "hongyuers/digit-recognizer-baseline", "kernel_id": "2257330"}, {"ref": "sanninjiraya/defining-capsule-net-using-pytorch", "kernel_id": "2371171"}, {"ref": "harines/digit-recognizer", "kernel_id": "2539513"}, {"ref": "ken8aisa/mnist", "kernel_id": "2168151"}, {"ref": "supratimhaldar/digit-recognizer-mnist-sandbox", "kernel_id": "2190536"}, {"ref": "ushanemani/digit-recognizer-with-deep-learning", "kernel_id": "2073771"}, {"ref": "thevinaymittal/hello-world", "kernel_id": "2186862"}, {"ref": "thevinaymittal/first-classifier-on-mnist", "kernel_id": "2123684"}, {"ref": "jatinmittal0001/digit-recognizer", "kernel_id": "2683608"}, {"ref": "ankitbasu/exercise-deep-learning-from-scratch", "kernel_id": "2445906"}, {"ref": "ankitbasu/deep-learning-from-scratch", "kernel_id": "2445754"}, {"ref": "ankitbasu/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2446685"}, {"ref": "ankitbasu/dropout-and-strides-for-larger-models", "kernel_id": "2446580"}, {"ref": "rhishikeshpadole/kernel7828541009", "kernel_id": "2117236"}, {"ref": "hemanthkumarmareedu/digit-knn-ml", "kernel_id": "2202461"}, {"ref": "ashuvishnoi/kernelc2b889aa76", "kernel_id": "2564815"}, {"ref": "halappa/kernel5bc99798af", "kernel_id": "2108860"}, {"ref": "dhiru29/digit-recognizer", "kernel_id": "2108859"}, {"ref": "wojtkep/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2103631"}, {"ref": "ankitsinghai/mnist-inception-cnn-data-gen", "kernel_id": "2292946"}, {"ref": "ankitsinghai/mnist-load-model-kernel", "kernel_id": "2290872"}, {"ref": "ankitsinghai/mnist-cnn-kernel", "kernel_id": "2291101"}, {"ref": "ankitsinghai/mnist-cnn-using-imagedatagenerator", "kernel_id": "2291358"}, {"ref": "ankitsinghai/mnist-inception-cnn-keras", "kernel_id": "2287646"}, {"ref": "jwong4494/beginner-cnn-using-keras", "kernel_id": "2505049"}, {"ref": "micky123/digit-recognition", "kernel_id": "2667420"}, {"ref": "amanvishnani/digit-recognizer", "kernel_id": "2140209"}, {"ref": "paradoges/my-first-try-on-cnn-using-pytorch", "kernel_id": "2709311"}, {"ref": "ahelis/mnist-using-lenet5", "kernel_id": "2232491"}, {"ref": "mikeccy/knn-framework-1b0a0b", "kernel_id": "2297583"}, {"ref": "pip33eeed/99-5-mnist-keras-data-aug-batchnorm", "kernel_id": "2811157"}, {"ref": "msahebi/mnist-naive-bayesian-classifier", "kernel_id": "2020322"}, {"ref": "gtyminski/tf-keras", "kernel_id": "2341561"}, {"ref": "gtyminski/tf-keras-cnn", "kernel_id": "2390638"}, {"ref": "subh970/digit-recognition", "kernel_id": "2779744"}, {"ref": "yashwanth3003/kernelcb108bf86e", "kernel_id": "2216934"}, {"ref": "mitulshah97/mlp-classifier", "kernel_id": "2532368"}, {"ref": "mitulshah97/rf-pca", "kernel_id": "2161532"}, {"ref": "mitulshah97/digit-xgb", "kernel_id": "2170956"}, {"ref": "shashanksai/cnn-on-mnist-keras-99-4", "kernel_id": "2404415"}, {"ref": "ahmetgeci/deep-learning-tutorial-cnn", "kernel_id": "2882268"}, {"ref": "faruktekgozoglu/digit-recognizer-with-keras-99-30-val-acc", "kernel_id": "2284519"}, {"ref": "avi667424/digit-recognition-cnn", "kernel_id": "2573182"}, {"ref": "avi667424/tensorflow-cnn-with-98-8-accuracy", "kernel_id": "2629941"}, {"ref": "tourist55/rnn-on-mnist-with-cuddnlstm-on-gpu-99-acc", "kernel_id": "2632436"}, {"ref": "kinoet/mnist-digit-recognition", "kernel_id": "2255659"}, {"ref": "kabilarasan/kernel7de6b152f9", "kernel_id": "2618759"}, {"ref": "harzeet/digit-recognizer-using-knn", "kernel_id": "2559765"}, {"ref": "jungan/knn-digit-recognizer-sklearn", "kernel_id": "2180927"}, {"ref": "jungan/knn-digit-recognizer-re-write-knn-tpdm", "kernel_id": "2187685"}, {"ref": "monthepp/digit-recognizer", "kernel_id": "2532720"}, {"ref": "cihanyatbaz/cnn-with-digit-recognizer", "kernel_id": "2282291"}, {"ref": "mukul96/kernele3540af5da", "kernel_id": "2937969"}, {"ref": "atiyah01/digit-recognizer", "kernel_id": "2095994"}, {"ref": "emberlilly/kernel0f720d81be", "kernel_id": "2639834"}, {"ref": "aashi46/digit-recognizer", "kernel_id": "2649474"}, {"ref": "aakashg1999/exercise-modeling-from-scratch", "kernel_id": "2038326"}, {"ref": "ai2prx/digit-recognizer-walkthrogh", "kernel_id": "2132220"}, {"ref": "mbromanowsky/cnn-for-digit-recognition", "kernel_id": "2219655"}, {"ref": "dn3dry/mnist-digit-recognition-with-keras-and-tensorflow", "kernel_id": "2155876"}, {"ref": "dungeonmaster081/pytorch-learning", "kernel_id": "2173357"}, {"ref": "charleslmen/digit-recognizer", "kernel_id": "2670659"}, {"ref": "andorhofecker/elvish-tengwar-digit-recognition", "kernel_id": "2839605"}, {"ref": "andorhofecker/99-4-model-pca-visualizations-error-analysis", "kernel_id": "2839254"}, {"ref": "lavasesha/mnest-deep", "kernel_id": "2295593"}, {"ref": "iconoclash/digit-recognizer-dataset-image-recognition", "kernel_id": "2192996"}, {"ref": "fabiobar/multiclass-classification-image-problem", "kernel_id": "2166005"}, {"ref": "ehsanolyaee/mnist-tutorial", "kernel_id": "2473267"}, {"ref": "mohitkatiyar/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "2384260"}, {"ref": "oendric/kerneld9caf6b096", "kernel_id": "2211606"}, {"ref": "geochatz/mnist-digit-recognizer-cnn", "kernel_id": "2278710"}, {"ref": "aditya100/digit-recognizer", "kernel_id": "2657871"}, {"ref": "bharathbhat7/digit-recog-convolutional", "kernel_id": "2160049"}, {"ref": "rosiejh/digit-recognizer-with-cnn", "kernel_id": "2716867"}, {"ref": "damminhtien/explore-mnist", "kernel_id": "2656199"}, {"ref": "gauravsinghania/digit-recognizer", "kernel_id": "2108881"}, {"ref": "gauravsinghania/digit-recognizer-ml-knn", "kernel_id": "2212327"}, {"ref": "isabeltseng/digit-recognition", "kernel_id": "2332229"}, {"ref": "phuhung273/mnist-beginner", "kernel_id": "2649818"}, {"ref": "sanjeevbiswas/digit-123", "kernel_id": "2647518"}, {"ref": "stschro/simple-fully-connected-model-in-keras", "kernel_id": "2509037"}, {"ref": "benigno/classification", "kernel_id": "2634296"}, {"ref": "niemtany/datamininghw4", "kernel_id": "2295082"}, {"ref": "bigdamnhero/digitrecognizer", "kernel_id": "2902854"}, {"ref": "mostafatahsin7/digit2", "kernel_id": "2787892"}, {"ref": "mkriteja/tensorflow-101", "kernel_id": "2620679"}, {"ref": "smeet159/digit-recognizer", "kernel_id": "2013853"}, {"ref": "soumya044/intro-to-ann-with-digit-recognizer-challenge", "kernel_id": "2022476"}, {"ref": "soumya044/mnist-digit-recognizer-using-kernel-svm", "kernel_id": "2000052"}, {"ref": "soumya044/introductions-to-anns-using-pytorch", "kernel_id": "2100096"}, {"ref": "adas33745/from-scratch-implementation-of-backprop-algorithm", "kernel_id": "2247410"}, {"ref": "freguglia/kernel3fe123ab38", "kernel_id": "2184486"}, {"ref": "hilltothesouth/exercise-deep-learning-from-scratch", "kernel_id": "2470931"}, {"ref": "hilltothesouth/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2471240"}, {"ref": "haydernasri/mnist-digit-recognizer-intro-to-cnn-acc-0-99", "kernel_id": "2082724"}, {"ref": "ramalingareddy/digit-analyser-random", "kernel_id": "2196049"}, {"ref": "ramalingareddy/digit-recogniser-ramalingareddy", "kernel_id": "2201003"}, {"ref": "varun0727/digit-recognizer-with-svm", "kernel_id": "2153945"}, {"ref": "ricardovar/classification-of-digits-with-pca-and-svm", "kernel_id": "2167212"}, {"ref": "shivi1992/ml-assignment-1", "kernel_id": "2651525"}, {"ref": "shivi1992/kernel6ef9335d52", "kernel_id": "2651001"}, {"ref": "anamalf/digit-rf", "kernel_id": "2216035"}, {"ref": "abhi22111992/digit-recognizer-for-beginners", "kernel_id": "2197825"}, {"ref": "omsrules/ml-first-assignment", "kernel_id": "2216803"}, {"ref": "chithsabesh123/ml-assignment-q3", "kernel_id": "2168022"}, {"ref": "pavanshankar/digit-recognizer", "kernel_id": "2646588"}, {"ref": "anaswaraelizabeth/digit-recongnizer", "kernel_id": "2651158"}, {"ref": "alexanderjeeshu/kernel010ea31c2e", "kernel_id": "2196680"}, {"ref": "sakarayajitesh/digit-recognizer", "kernel_id": "2907743"}, {"ref": "aayushmanipal/digit-recognizer-aayush", "kernel_id": "2205954"}, {"ref": "anushkini/mnist", "kernel_id": "2891773"}, {"ref": "tonteki4/mnist-with-keras-intuitive-way", "kernel_id": "2002877"}, {"ref": "sairam3795/assignment-1-q3", "kernel_id": "2108873"}, {"ref": "mousam11/mousam-digit-rec", "kernel_id": "2215469"}, {"ref": "bassjo/counting-with-random-forests", "kernel_id": "2716399"}, {"ref": "ashishkhuraishy/hand-written-digits", "kernel_id": "2493540"}, {"ref": "yasuo0/digit-recognizer-ml-classifier-model-comparison", "kernel_id": "2164659"}, {"ref": "asilaydying/kernel3f3b9bf18c", "kernel_id": "2458451"}, {"ref": "merveturhan/lda-not-using-any-framework", "kernel_id": "2759501"}, {"ref": "merveturhan/pca-not-using-any-framework", "kernel_id": "2605254"}, {"ref": "merveturhan/k-means-clustering-not-using-any-framework", "kernel_id": "2638804"}, {"ref": "nanosplitter/digit-recognizer", "kernel_id": "2228958"}, {"ref": "fuclid/mnist", "kernel_id": "2920502"}, {"ref": "creativebot/how-to-attack-a-machine-learning-model", "kernel_id": "2977695"}, {"ref": "anycode/mnist-recognition-using-star-v2", "kernel_id": "2386757"}, {"ref": "anycode/mnist-recognition-using-star", "kernel_id": "2259377"}, {"ref": "anycode/mnist-recognition", "kernel_id": "2041990"}, {"ref": "mehmetkasap/digit-recognizer-using-convolutional-neural-n", "kernel_id": "2252956"}, {"ref": "zombiecleansdata/digit-recognizer", "kernel_id": "2484472"}, {"ref": "myounus/mnist-prac", "kernel_id": "2769845"}, {"ref": "prasad22s/kernelc586a08586", "kernel_id": "2641179"}, {"ref": "darkside92/digit-recognition-with-a-single-hidden-layer-nn", "kernel_id": "2474250"}, {"ref": "cwcowell/digit-recognizer-cnn-with-keras-and-tensorflow", "kernel_id": "2919254"}, {"ref": "deeptrial/mnist-k-nearest-neighbor-with-hog-feature", "kernel_id": "2180645"}, {"ref": "gaddar/exercise-deep-learning-from-scratch", "kernel_id": "2386925"}, {"ref": "gaddar/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2393917"}, {"ref": "castetj/kernel8fd451ead9", "kernel_id": "2328704"}, {"ref": "skroll182/digit-recognizer-using-random-forest", "kernel_id": "2467081"}, {"ref": "n62169/svms-knn-and-random-forests", "kernel_id": "2249461"}, {"ref": "alexeykopylov/mnist", "kernel_id": "2921301"}, {"ref": "prabhjyot28/mnist-digit-recognizer", "kernel_id": "2542403"}, {"ref": "mprudentes/death-star", "kernel_id": "2150394"}, {"ref": "nikkisharma536/digit-recognisation", "kernel_id": "2695477"}, {"ref": "sanjoybijoy/my-digit-recognizer-using-cnn-keras", "kernel_id": "2624379"}, {"ref": "alukashenkov/nnnn-a-naive-neutral-network-introduction", "kernel_id": "2027969"}, {"ref": "alukashenkov/fast-ai-mnist", "kernel_id": "2159883"}, {"ref": "mgranada/my-first-kernel", "kernel_id": "2216211"}, {"ref": "tisbuet/cnn-crossvalidation-dataaugmentation-digit-reco", "kernel_id": "2117493"}, {"ref": "curiousprogrammer/l-layered-neural-network-from-scratch", "kernel_id": "2820502"}, {"ref": "curiousprogrammer/data-augmentation-in-python-tf-keras-imgaug", "kernel_id": "2944562"}, {"ref": "curiousprogrammer/digit-recognizer-tensorflow-nn-with-augmentation", "kernel_id": "2910059"}, {"ref": "curiousprogrammer/lenet-5-cnn-with-tensorflow-98-5", "kernel_id": "2982093"}, {"ref": "curiousprogrammer/deep-nn-with-keras-97-5", "kernel_id": "2978526"}, {"ref": "curiousprogrammer/lenet-5-cnn-with-keras-99-48", "kernel_id": "2991475"}, {"ref": "raipiyush558/neural-net-for-mnist", "kernel_id": "2612562"}, {"ref": "deepanshgoyal/mnistdeep", "kernel_id": "2911709"}, {"ref": "greg115/digit-recognizer-keras-cnn-0-995-lb", "kernel_id": "2190720"}, {"ref": "wiley1wonka1/view-data-as-an-image-svm-model-using-pca", "kernel_id": "2466195"}, {"ref": "ayushsaklani/intro-to-deep-learning", "kernel_id": "2898486"}, {"ref": "amundov/svm-and-dimensionality-reduction", "kernel_id": "2401644"}, {"ref": "gawarek/cnn-and-ensamble-method", "kernel_id": "2754373"}, {"ref": "zhjp1226/mnist-2", "kernel_id": "2100907"}, {"ref": "cemutku/digit-recognizer-with-logistic-regression", "kernel_id": "2812285"}, {"ref": "brussell757/digit-recognition", "kernel_id": "2679020"}, {"ref": "hakanozen/digit-recognition-by-lr-knn-svm-dtree-rforest-cnn", "kernel_id": "2247931"}, {"ref": "didimilikina/intro-to-dimensionality-reduction", "kernel_id": "2234747"}, {"ref": "didimilikina/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2003122"}, {"ref": "didimilikina/exercise-modeling-from-scratch", "kernel_id": "2002806"}, {"ref": "kartikay5/mnist-digit-recognizer1", "kernel_id": "2255984"}, {"ref": "juanlebk/exercise-modeling-from-scratch", "kernel_id": "2162351"}, {"ref": "juanlebk/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2163862"}, {"ref": "juanlebk/digit-reg-logistic-regression-with-one-vs-rest", "kernel_id": "2164174"}, {"ref": "juanlebk/apply-cnn-for-digit-recognition-with-keras", "kernel_id": "2093355"}, {"ref": "luantm/digits-competition-3", "kernel_id": "2021896"}, {"ref": "luantm/digits-competition-rnn", "kernel_id": "2021753"}, {"ref": "luantm/digits-competitions", "kernel_id": "2007814"}, {"ref": "luantm/digits-competition-2", "kernel_id": "2008592"}, {"ref": "vladislavk777/digit-recognizer-best-score-0-995", "kernel_id": "2202667"}, {"ref": "stefanogizmo/digit-recog", "kernel_id": "2785404"}, {"ref": "prithviramg/k-fold-knn-classification-of-mnist-dataset", "kernel_id": "2627643"}, {"ref": "codemastercpp/enhanced-digit-classifier", "kernel_id": "2072848"}, {"ref": "renanmoraes50/cnn-for-hand-digit-recognition", "kernel_id": "2226115"}, {"ref": "megaclick/digit-recognizer-using-conv2d-in-keras", "kernel_id": "2715710"}, {"ref": "victorsalgado/mnist", "kernel_id": "2913210"}, {"ref": "harshul23/kernel92287dc086", "kernel_id": "2425367"}, {"ref": "huayangshiboqi/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "2259277"}, {"ref": "huayangshiboqi/kernel0d10619143", "kernel_id": "2258807"}, {"ref": "mjwheele/mnist-convolutional-neural-network", "kernel_id": "2732592"}, {"ref": "ahmetaykol/mlp-multilayer-perceptron-for-minst-data", "kernel_id": "2030897"}, {"ref": "sohaibanwaar1203/beginners-deep-learning-cnn", "kernel_id": "2173042"}, {"ref": "ahmedbaz/how-to-choose-cnn-architecture-mnist", "kernel_id": "2711858"}, {"ref": "ahmedbaz/pandas-for-digit-recognizer-for-beginners", "kernel_id": "2453852"}, {"ref": "pandego/mnist-simple-digit-recognition-with-svm-and-scikit", "kernel_id": "2051654"}, {"ref": "sushmithajoshi7/keras", "kernel_id": "2563837"}, {"ref": "simransinha5514/data-augmentation-in-python-tf-keras-img", "kernel_id": "2969554"}, {"ref": "hupe1980/keras-digit-recognizer-mnist-data", "kernel_id": "2070501"}, {"ref": "kasikrit/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2099082"}, {"ref": "kasikrit/dropout-and-strides-for-larger-models", "kernel_id": "2098954"}, {"ref": "kasikrit/exercise-modeling-from-scratch", "kernel_id": "2093211"}, {"ref": "pierrenicolaspiquin/mnist-from-data-visualization-to-submission", "kernel_id": "2188530"}, {"ref": "pierrenicolaspiquin/understanding-image-filters", "kernel_id": "2317749"}, {"ref": "jcorpac/mnist-notebook", "kernel_id": "2295398"}, {"ref": "seand97/interactive-intro-to-dimensionality-reduction", "kernel_id": "2398730"}, {"ref": "berkaygurcan/my-deep-learning-with-cnn-hm-1", "kernel_id": "2648523"}, {"ref": "mnds18/digit-recognition-using-cnn-keras", "kernel_id": "2896075"}, {"ref": "tushars95/digit-recognizer-ml-knn", "kernel_id": "2164404"}, {"ref": "tiantliu/mnist", "kernel_id": "2296554"}, {"ref": "ronnierulz/decoding-digits-using-pca-and-logistic-regression", "kernel_id": "2889884"}, {"ref": "apoorvaramu/digit-recogniser", "kernel_id": "2164423"}, {"ref": "ericksa336/kernelc41fb0a2a9", "kernel_id": "2136705"}, {"ref": "davidashraf/exercise-deep-learning-from-scratch", "kernel_id": "2472026"}, {"ref": "davidashraf/exercise-dropout-and-strides-for-larger-models", "kernel_id": "2472174"}, {"ref": "jongseo/resnet-with-tensorflow", "kernel_id": "2305633"}, {"ref": "dongjulongpy/kneighbors-without-reduction-0-93028", "kernel_id": "2206538"}, {"ref": "lokeshbobbala/kaggle-assignment", "kernel_id": "2108865"}, {"ref": "wildoctopus/digit-recognizer", "kernel_id": "2229478"}, {"ref": "enrigaci/convolution-network-using-tensorflow", "kernel_id": "2107838"}, {"ref": "deepiblis/mnist-with-feature-engineering", "kernel_id": "2275803"}, {"ref": "test12345yu/knn-framework-562610", "kernel_id": "2206495"}, {"ref": "classical/deep-nn", "kernel_id": "2205724"}, {"ref": "classical/cnn-vgg-like", "kernel_id": "2305872"}, {"ref": "classical/cnn-lenet-like", "kernel_id": "2299667"}, {"ref": "leciel36/cnn-keras-learning-curve-w-wo-data-augmentation", "kernel_id": "2283714"}, {"ref": "janghsinyeh/fork-of-myfirst", "kernel_id": "2130271"}, {"ref": "janghsinyeh/logistic-regression-digit-recognization", "kernel_id": "2167400"}, {"ref": "janghsinyeh/myfirst", "kernel_id": "2089869"}, {"ref": "vrb1920/fork-of-mnist-digit-classifier-competition-7f5465", "kernel_id": "2529105"}, {"ref": "vrb1920/mnist-digit-classifier-competition", "kernel_id": "2528607"}, {"ref": "pinghe0902/kernel332d6eaeed", "kernel_id": "2266047"}, {"ref": "vimlord/digit-recognizer-cnn", "kernel_id": "2231411"}, {"ref": "ashuthoshdasari/kernelc762f546ba", "kernel_id": "2173814"}, {"ref": "csengor/mnist-with-pytorch-using-cnn", "kernel_id": "2303433"}, {"ref": "srivatsavnarasimhan/digit-recognizer-ml", "kernel_id": "2179528"}, {"ref": "jayantdpriyadarshi/digit-recognizer-jayant", "kernel_id": "2212217"}, {"ref": "ravindravenkat/digitrecogniserravindra", "kernel_id": "2108878"}, {"ref": "nagashyam/kernelda4c24a2a6", "kernel_id": "2171253"}, {"ref": "tanaylko/machine-learning-assignment-1-s-q-3", "kernel_id": "2216208"}, {"ref": "ananyabioinfo/digit-recognizer", "kernel_id": "2178675"}, {"ref": "ilufei/mnist-with-tensorflow-dnn-97", "kernel_id": "2114893"}, {"ref": "ilufei/mnist-with-cnn-baseline-99", "kernel_id": "2123100"}, {"ref": "droid021/mnist-with-tf-keras", "kernel_id": "2422351"}, {"ref": "pant0000/mnist-with-logistic-regression", "kernel_id": "2849953"}, {"ref": "cqncpdp/first-kaggle-competition-first-tensorflow-projet", "kernel_id": "2144893"}, {"ref": "barnasir/kerneld543713b2a", "kernel_id": "2138946"}, {"ref": "vishakhnairj/ml-models-for-classification", "kernel_id": "2173864"}, {"ref": "fraluc/cnn-keras-with-custom-data-augmentation-99-52", "kernel_id": "2216512"}, {"ref": "jiafengliao/knn-framework", "kernel_id": "2205125"}, {"ref": "jiafengliao/ninechapter-knn", "kernel_id": "2269195"}, {"ref": "jerrychens/knn-framework", "kernel_id": "2185491"}, {"ref": "qiuyu8290/1-digit-recognizer-svm", "kernel_id": "2382476"}, {"ref": "shushanxingzhe/digit-recognition", "kernel_id": "2315586"}, {"ref": "shushanxingzhe/introduction-to-cnn-keras-0-997-top-6-b79bb6", "kernel_id": "2315386"}, {"ref": "solotu/knn-framework", "kernel_id": "2323117"}, {"ref": "manimeghala/digit-recog", "kernel_id": "2206364"}, {"ref": "dawilkinson7/digit-recognizer", "kernel_id": "2787321"}, {"ref": "cat233/knn-framework", "kernel_id": "2188463"}, {"ref": "linxy777/cnn-test", "kernel_id": "2629339"}, {"ref": "deepfast/mnist-with-fast-ai-and-pytorch", "kernel_id": "2279618"}, {"ref": "noyznoyz/alex-net", "kernel_id": "2189029"}, {"ref": "winterhd/knn-framework", "kernel_id": "2194807"}, {"ref": "rpgfly/fork-of-knn-framework", "kernel_id": "2190797"}, {"ref": "lavzzz/my-first-kernal", "kernel_id": "2443700"}, {"ref": "shawnxa/knn-framework-48acc6", "kernel_id": "2204873"}, {"ref": "sunnhao/knn-framework-49e08e", "kernel_id": "2221383"}, {"ref": "riskiip/data-recognizer-fixed", "kernel_id": "2195701"}, {"ref": "riskiip/digit-recognition", "kernel_id": "2200734"}, {"ref": "riskiip/digit-recognizer-fix-bruh", "kernel_id": "2200930"}, {"ref": "dannymathew/5-mnist-using-cnn-nn", "kernel_id": "2284087"}, {"ref": "nanoha17/knn-framework-ce11e3", "kernel_id": "2210731"}, {"ref": "amaniyya/digit-recog-kel9", "kernel_id": "2202365"}, {"ref": "dineshmurali/ml-data-recognizer", "kernel_id": "2205984"}, {"ref": "aman9d/siwei-digit-recognizer-top20", "kernel_id": "2346773"}, {"ref": "aman9d/digit-recognizer-svm-88-3-data-visualization", "kernel_id": "2336144"}, {"ref": "bhgt4563/25-million-images-0-99757-mnist-final", "kernel_id": "2264996"}, {"ref": "lemuriec/kernel302e6d9e62", "kernel_id": "2453199"}, {"ref": "brightsunp/exercise-deep-learning-from-scratch", "kernel_id": "2439572"}, {"ref": "stevenmakai/cnn-mnist", "kernel_id": "2663991"}, {"ref": "smurli/digit-recognizer", "kernel_id": "2495405"}, {"ref": "lucas2019/knn-framework-a1d80e", "kernel_id": "2270906"}, {"ref": "nikhilsaunshi/kernel9bbf6b290c", "kernel_id": "2274950"}, {"ref": "devilsknight/classify-mnist-data-by-resnet50-and-fastai", "kernel_id": "2980171"}, {"ref": "stuhli/digit-recognizer-beginner-s-attempt-at-cnn", "kernel_id": "2812055"}, {"ref": "lethonomia/numbers-machine-learning", "kernel_id": "2644005"}, {"ref": "inlightful/ml-final-digit-recognition", "kernel_id": "2468110"}, {"ref": "amitj1jan/a-beginner-s-kernel-mnist-digitclassifier", "kernel_id": "2498475"}, {"ref": "abbahaddou/digit-recognizer-random-forest-0-94185-accuracy", "kernel_id": "2385957"}, {"ref": "gwgking/cnndemoformnist", "kernel_id": "2334652"}, {"ref": "randwlkr/yet-another-beginner-keras-cnn-approach", "kernel_id": "2399385"}, {"ref": "vikramseth/kernele2b4d269f3", "kernel_id": "2858410"}, {"ref": "gauhario98/digit-recognzer-random-forest", "kernel_id": "2468645"}, {"ref": "arousselotvi/digit-recognizer-antoine-rousselot", "kernel_id": "2380809"}, {"ref": "adrien92/tp1-ue-ia", "kernel_id": "2380910"}, {"ref": "rs8kaggle/intro-to-mnist", "kernel_id": "2478119"}, {"ref": "mansan/recognize-digits-with-decissiontree", "kernel_id": "2719341"}, {"ref": "dinarazholzhanova/kernel4c99541978", "kernel_id": "2469151"}, {"ref": "suhaspothedar/digit-recognizer", "kernel_id": "2425630"}, {"ref": "genesis16/digit-recogniser-using-cnn-in-keras-top-3", "kernel_id": "2664372"}, {"ref": "rockmaker/using-cnn", "kernel_id": "2349142"}, {"ref": "pengshuyuan/digit-recognizer", "kernel_id": "2708800"}, {"ref": "wjburns/mnist-ec-cnn-v-8", "kernel_id": "2863387"}, {"ref": "relativity2000/cnn-on-mnist-using-keras", "kernel_id": "2761277"}, {"ref": "sangwookchn/digit-recognizer-keras-ml", "kernel_id": "2395035"}, {"ref": "yhkee0404/kernelcfc4ef6dd9", "kernel_id": "2375298"}, {"ref": "monk78/digit-recognizer-with-keras", "kernel_id": "2650586"}, {"ref": "nicollis/msnit-cnn-recognizer-with-augmented-data-top-12", "kernel_id": "2605100"}, {"ref": "ryansunhanchi/digit-recognizer-0-2", "kernel_id": "2467043"}, {"ref": "oakkoa/model-1", "kernel_id": "2644266"}, {"ref": "marveljacob/kernel196f779bd5", "kernel_id": "2423821"}, {"ref": "seuprimrose/image-recognizer", "kernel_id": "2539517"}, {"ref": "prafuldevmk/digit-recognizer", "kernel_id": "2642815"}, {"ref": "devesh029/digit-recognizer-prediction", "kernel_id": "2632354"}, {"ref": "ebanhhu/practice-for-digit-recognizer", "kernel_id": "2412247"}, {"ref": "preetkaur02/digit-recognizer-using-knn-model", "kernel_id": "2571389"}, {"ref": "junaidpathan/digit", "kernel_id": "2642175"}, {"ref": "abhinavgaharwar/kernelf35492f7bb", "kernel_id": "2481555"}, {"ref": "vishaldeshwal/digit-classifier-notebook", "kernel_id": "2484492"}, {"ref": "girishkmr/digit", "kernel_id": "2498498"}, {"ref": "parmenidas/quick-intro-to-tensorflow-for-ann", "kernel_id": "2446773"}, {"ref": "emanyehya/digit-recognizer", "kernel_id": "2456126"}, {"ref": "dilnur/digit-recognizer", "kernel_id": "2468748"}, {"ref": "ah5049/data-mining-term-project", "kernel_id": "2459436"}, {"ref": "d25091c/data-science-and-machine-learning-cheatsheets", "kernel_id": "2563051"}, {"ref": "amitpphatak/cnn-with-advanced-image-augmentations", "kernel_id": "2602281"}, {"ref": "sameerdev7/99-2-accuracy-in-mnist-digit-recognizer", "kernel_id": "2894216"}, {"ref": "saqibm128/hello-world", "kernel_id": "2534037"}, {"ref": "ksadree/mnist-practice-with-keras", "kernel_id": "2606957"}, {"ref": "fruitvul/mnist-using-kneighbors-0-970", "kernel_id": "2812109"}, {"ref": "kunasiramesh/r121232-mnist-kernal", "kernel_id": "2651871"}, {"ref": "ilu000/convolution-network-in-keras", "kernel_id": "2653616"}, {"ref": "rlirey/mnist-dnn", "kernel_id": "2587454"}, {"ref": "mishra1993/pytorch-multi-layer-perceptron-mnist", "kernel_id": "2731279"}, {"ref": "chunyuan0221/cnn-with-tf-keras", "kernel_id": "2951432"}, {"ref": "bushank/kerneld1c409ebf4", "kernel_id": "2615936"}, {"ref": "dakshitatiwari/digit-recogniser", "kernel_id": "2642521"}, {"ref": "vlithinchowdary/digit", "kernel_id": "2649564"}, {"ref": "vlithinchowdary/kernel07e3febf5f", "kernel_id": "2650612"}, {"ref": "yanshuxuan/svc-to-predict-data", "kernel_id": "2748719"}, {"ref": "scrambledbrain/digit-recognition-with-r-and-keras", "kernel_id": "2939743"}, {"ref": "scrambledbrain/my-first-cnn", "kernel_id": "2930253"}, {"ref": "scrambledbrain/simple-neural-net-with-keras", "kernel_id": "2925699"}, {"ref": "joosee/netology-ds-pca-rfc", "kernel_id": "2985393"}, {"ref": "goodbyte/minst-fastai", "kernel_id": "2945715"}, {"ref": "annmakf/kernel9a86d92ccf", "kernel_id": "2973128"}, {"ref": "paviah/digit-recognizer-in-r-knn-and-qda", "kernel_id": "3801900"}, {"ref": "mchahhou/um6p-mnist", "kernel_id": "3332372"}, {"ref": "jaydeu/part-2-digit-recognition-with-simple-nn-keras", "kernel_id": "3703656"}, {"ref": "apundhir/model-optimization", "kernel_id": "3532021"}, {"ref": "sunsern/a-very-comprehensive-tutorial-nn-cnn", "kernel_id": "3677899"}, {"ref": "priteshshrivastava/mnist-pytorch-implementation-from-fast-ai-mooc", "kernel_id": "3789711"}, {"ref": "vidyasagarr7/digit-recognizer", "kernel_id": "3677443"}, {"ref": "atheeralattar/keras-simple-setup", "kernel_id": "3156793"}, {"ref": "lpierezan/mnist-mlp-and-cnn-with-tf-keras", "kernel_id": "3082161"}, {"ref": "eduardo4jesus/mnist-lenet-spatial-domain", "kernel_id": "3730391"}, {"ref": "patrickfalvey40/kernel25f1336124", "kernel_id": "3956622"}, {"ref": "adi160/minst-digit-recognizer-using-keras", "kernel_id": "3400349"}, {"ref": "mychen76/hand-writing-digit-recognition-in-deep-learning", "kernel_id": "3050804"}, {"ref": "jarpit83/jarpit83-mnist-svm", "kernel_id": "3512930"}, {"ref": "mingqianye/knn-framework", "kernel_id": "3204060"}, {"ref": "andresarrieche7/digit-recognizer-svm-scikitlearn", "kernel_id": "3052035"}, {"ref": "thewolf/mnist-convolutional-neural-network-keras", "kernel_id": "3412914"}, {"ref": "thewolf/minimal-mnist-tensorflow-keras", "kernel_id": "3335389"}, {"ref": "niyipop/classification-using-autoencoder", "kernel_id": "3947703"}, {"ref": "miketonson1006/pytorch-from-a-beginner-s-view", "kernel_id": "3946383"}, {"ref": "panpluto/ann-with-pre-defined-convolutional-filters-numpy", "kernel_id": "3871836"}, {"ref": "jubinmehta/digit-recognizer-algo", "kernel_id": "3252583"}, {"ref": "gowrishankarin/tf101-multi-layer-perceptron", "kernel_id": "3811922"}, {"ref": "jay031989/digit-recognition-using-svm", "kernel_id": "3682609"}, {"ref": "stephen37/introduction-to-deep-learning", "kernel_id": "3150856"}, {"ref": "guoyang0601/cnn-sample-for-mnist-dataset-use-tensorflow", "kernel_id": "3982537"}, {"ref": "guoyang0601/some-machine-learning-models-sample-for-reference", "kernel_id": "3995218"}, {"ref": "shadabhussain/digit-recognition-using-nearest-neighbors", "kernel_id": "3583797"}, {"ref": "sharathnair/digit-recognizer-understanding-pca", "kernel_id": "3074616"}, {"ref": "diegoinacio/digit-classification-using-nns", "kernel_id": "3462464"}, {"ref": "sourabharsh/mnist", "kernel_id": "3807869"}, {"ref": "prabanch/digit-recognition-using-cnn", "kernel_id": "3960902"}, {"ref": "elisus/digit-recognizer", "kernel_id": "3971858"}, {"ref": "steventesta/digit-recognizer-fast-ai-custom-databunch", "kernel_id": "3061412"}, {"ref": "stansidel/using-resnet-w-o-internet", "kernel_id": "3086390"}, {"ref": "stallians/mnist-digit-classifier", "kernel_id": "3864272"}, {"ref": "ljjblackpig/simple-tensorflow-keras", "kernel_id": "3439690"}, {"ref": "shubhams9k96/pca-vs-tsne-on-mnist-dataset", "kernel_id": "3089536"}, {"ref": "garipov/kernelc1d33509a9", "kernel_id": "3545584"}, {"ref": "kumarmanish/simple-dense-model-using-keras-for-digit-recognise", "kernel_id": "3889868"}, {"ref": "jsrshivam/mnist-digit-recognition-nn", "kernel_id": "3823766"}, {"ref": "svcuonghvktqs/cnn-with-mxnet", "kernel_id": "3267763"}, {"ref": "javadhelali/logistic-regression-using-scikit-learn", "kernel_id": "3574553"}, {"ref": "babameme/kernel967b61b3e5", "kernel_id": "3336849"}, {"ref": "ankschoubey/lenet5-based-cnn-with-98-94-using-pytorch", "kernel_id": "3933882"}, {"ref": "zhaonat/mnist-notebook", "kernel_id": "3172629"}, {"ref": "zhaonat/mnist-submission", "kernel_id": "3201385"}, {"ref": "fabriciosantana/digit-recognizer-mnist-classification", "kernel_id": "3572914"}, {"ref": "mokrochkov/mnist-with-15-neural-network-99-7", "kernel_id": "3260133"}, {"ref": "peter0749/additive-margin-softmax-loss-with-visualization", "kernel_id": "3247012"}, {"ref": "peter0749/angular-softmax-loss-with-visualization", "kernel_id": "3243675"}, {"ref": "tuzunneslihan/mnist-keras-sequential", "kernel_id": "3279190"}, {"ref": "gianfa/fastaiv1-resnet-model-definition", "kernel_id": "3965547"}, {"ref": "milesb/10-digit-image-classifier", "kernel_id": "3391793"}, {"ref": "vochicong/exercise-deep-learning-from-scratch-daily", "kernel_id": "3620602"}, {"ref": "jainamit333/25-million-images-0-99757-mnist", "kernel_id": "3977402"}, {"ref": "claudiav/digit-recognition-cnn-keras-data-augmentation", "kernel_id": "3793071"}, {"ref": "machinelrnr/deep-learning-mnist-tensorflow", "kernel_id": "3384664"}, {"ref": "asrivast/mnist-using-random-forest-and-boosting", "kernel_id": "3621740"}, {"ref": "asrivast/mnist-digit-recognizer-with-svm", "kernel_id": "3467334"}, {"ref": "karthik7395/advancements-in-ai-and-intro-to-cnn", "kernel_id": "3003998"}, {"ref": "rogerthatroach/basic-cnn-using-regularisations-99-64", "kernel_id": "3162993"}, {"ref": "t0m0ff3l/fastnumbers", "kernel_id": "3315334"}, {"ref": "t0m0ff3l/top-score-using-nearest-neighbours", "kernel_id": "3566234"}, {"ref": "amulyareddy/mnist-digit-recognition", "kernel_id": "3706547"}, {"ref": "thirumani/solving-mnist-problem-with-svm", "kernel_id": "3495669"}, {"ref": "whizzkid/cnn-pytorch-beginners-code", "kernel_id": "3558402"}, {"ref": "annametz/cnn-first-steps", "kernel_id": "3550806"}, {"ref": "alafan/digits-with-function-for-model-choose", "kernel_id": "3460674"}, {"ref": "abhijit96/mnist-using-lstm-keras", "kernel_id": "3644288"}, {"ref": "adithyayelloju/digit-recognition-lenet5", "kernel_id": "3558493"}, {"ref": "rhodiumbeng/digit-recognizer-convolutional-neural-network", "kernel_id": "3975332"}, {"ref": "wordroid/somclassifier-iris-moon-digit8", "kernel_id": "3844598"}, {"ref": "gabrielstpierre/optimization-algorithms-in-keras", "kernel_id": "3683174"}, {"ref": "cuberti/fastai-dl1-lesson-5-sgd", "kernel_id": "3254821"}, {"ref": "nhatle/kernel3f1b7bcb79", "kernel_id": "3350013"}, {"ref": "alexahdp/mnist2", "kernel_id": "3158337"}, {"ref": "lxyuan0420/cnn-2d-with-earlystopping-mnist", "kernel_id": "3556129"}, {"ref": "lxyuan0420/mlp-mnist", "kernel_id": "3555469"}, {"ref": "newmler/mnist-digit-recognizer", "kernel_id": "3579338"}, {"ref": "rhtsingh/a-dishonest-guide-to-100-accuracy", "kernel_id": "3455439"}, {"ref": "grim1412/keras-tutorial-submission-99", "kernel_id": "3101974"}, {"ref": "enwei26/mnist-digits-pytorch-cnn-99", "kernel_id": "3968122"}, {"ref": "geoffreygeo/mnist-digit-recognizer", "kernel_id": "3015140"}, {"ref": "loveunk/kaggle-digit-recognizer-keras-cnn-100-accuracy", "kernel_id": "3129559"}, {"ref": "rahool214/mnist-cnn", "kernel_id": "3726058"}, {"ref": "arielszabo/filter-steps-cnn", "kernel_id": "3174586"}, {"ref": "davidrpugh/mnist-data-augmentation-tutorial", "kernel_id": "3855632"}, {"ref": "davidrpugh/neural-networks-from-scratch-with-pytorch", "kernel_id": "3829005"}, {"ref": "davidrpugh/mnist-scikit-learn-classifiers", "kernel_id": "3878486"}, {"ref": "lavrikovav/1layer-conv-catboost", "kernel_id": "3540201"}, {"ref": "ksashok/very-basic-xgboost", "kernel_id": "3034028"}, {"ref": "vkuruvada/cnn-implementation", "kernel_id": "3903555"}, {"ref": "manzoormahmood/mnist-neural-network-from-scratch", "kernel_id": "3256549"}, {"ref": "ezzzio/digit-recogniser-on-mnist-dataset-using-keras", "kernel_id": "3712927"}, {"ref": "yanyadong/kernel2fb1dbde77", "kernel_id": "3504894"}, {"ref": "arpitjain007/classification", "kernel_id": "3702378"}, {"ref": "sumitsaxena23/ss-digitrecognizer", "kernel_id": "3245018"}, {"ref": "abhigupta4981/capsule-net-for-mnist-using-pytorch", "kernel_id": "3323005"}, {"ref": "abhishekkrsingh/keras-101-mnist-dataset", "kernel_id": "3646796"}, {"ref": "ronchi/simple-knn-to-predict-handwritten-mnist", "kernel_id": "3371337"}, {"ref": "sushmita79/digit-recognizer-with-cnn-score-98-91", "kernel_id": "3554045"}, {"ref": "mshaked/can-i-get-your-digits-computer-vision-with-knn", "kernel_id": "3168535"}, {"ref": "grossmend/mnist-simple-deep-learning-cnn-99-3-by-keras", "kernel_id": "3081290"}, {"ref": "gauravadhikari/playing-with-the-mnist-dataset-and-keras", "kernel_id": "3254923"}, {"ref": "ws10254/digit-recognizer-with-keras-cnn", "kernel_id": "3199611"}, {"ref": "ws10254/code-vectors-truncated-tdi", "kernel_id": "3805349"}, {"ref": "adityakuppa27/kernel9286b5b969", "kernel_id": "3667195"}, {"ref": "fazilbtopal/variantional-autoencoders-vae", "kernel_id": "3718994"}, {"ref": "leekocytes/mnist-image-train", "kernel_id": "3239091"}, {"ref": "shubham505/digit-recognizer-using-cnn", "kernel_id": "3878988"}, {"ref": "wahabakram45/kerasmnist", "kernel_id": "3892587"}, {"ref": "danielmakc/digit-recognizer", "kernel_id": "3574297"}, {"ref": "prashpal/mnist-prediciton-using-cnn-model", "kernel_id": "3136961"}, {"ref": "loovmj/mnist-challenge2-ver-3", "kernel_id": "3480957"}, {"ref": "rabbitmai87/cnn-model-on-digit-predictions", "kernel_id": "3868197"}, {"ref": "raju136/exercise-deep-learning-from-scratch", "kernel_id": "3581879"}, {"ref": "uvxy1234/mnist-lenet-implementation", "kernel_id": "3811526"}, {"ref": "jasperkoops/digits-clf-random-forest-gridsearch-pipeline", "kernel_id": "3833944"}, {"ref": "junhai/mnist", "kernel_id": "3634368"}, {"ref": "lorenzomnto/digit-recognizer-using-cnn-with-tensorflow-keras", "kernel_id": "3630145"}, {"ref": "nicolalandro/basic-keras-model", "kernel_id": "3445887"}, {"ref": "wsm1992/tensorflow-mnist", "kernel_id": "3903251"}, {"ref": "jasminetang/digit-rec-knn-kernel", "kernel_id": "3876805"}, {"ref": "ken10249/cnn-with-keras", "kernel_id": "3696887"}, {"ref": "ken10249/digit-recognizer-with-random-forest-classifier", "kernel_id": "3575362"}, {"ref": "frmatias/digitcognizer", "kernel_id": "3813964"}, {"ref": "martinab/digit-recognition", "kernel_id": "3199034"}, {"ref": "julfes/ensemble-classifier-out-of-seven-cnns-99-6", "kernel_id": "3048669"}, {"ref": "smivvla/mnist-kernel", "kernel_id": "3365490"}, {"ref": "pascalnoble/minst-fastai-3ab05b", "kernel_id": "3379220"}, {"ref": "chemont/digit-recognizer-2", "kernel_id": "3784308"}, {"ref": "chemont/digit-recognizer-1", "kernel_id": "3750449"}, {"ref": "held280/bung-1", "kernel_id": "3682213"}, {"ref": "janandd/neural-network-using-keras", "kernel_id": "3071712"}, {"ref": "omershect/cnn-digit-recognizer", "kernel_id": "3709470"}, {"ref": "iepsenn/sklearn-and-mlp", "kernel_id": "3663985"}, {"ref": "bcosta12/handwritten-digit-recognition-mxnet-cnn", "kernel_id": "3371230"}, {"ref": "bcosta12/handwritten-digit-recognition-mxnet-mlp", "kernel_id": "3363178"}, {"ref": "vijendra99/mnist-digit-recognition", "kernel_id": "3583200"}, {"ref": "interneuron/mnist-randomwire", "kernel_id": "3694485"}, {"ref": "brwalk/digitrecognizer1", "kernel_id": "3648270"}, {"ref": "yuhaya9/very-simple-example", "kernel_id": "3139296"}, {"ref": "anil777/dropout-and-strides-for-larger-models", "kernel_id": "3578412"}, {"ref": "anil777/deep-learning-from-scratch", "kernel_id": "3578325"}, {"ref": "anil777/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "3579663"}, {"ref": "anil777/welcome-to-deep-learning-cnn-99", "kernel_id": "3582243"}, {"ref": "anil777/capsulenet-on-mnist", "kernel_id": "3587115"}, {"ref": "anil777/exercise-deep-learning-from-scratch", "kernel_id": "3574536"}, {"ref": "anil777/exercise-dropout-and-strides-for-larger-models", "kernel_id": "3574538"}, {"ref": "anil777/digit-recognition-keras-neural-net", "kernel_id": "3540640"}, {"ref": "arnavramamoorthy/fork-of-digit-recognition", "kernel_id": "3566441"}, {"ref": "modojj/mnist-data-augmentation-and-ensembling", "kernel_id": "3233000"}, {"ref": "rivesunder/topless-alexnet-0-9947", "kernel_id": "3809504"}, {"ref": "rivesunder/optimizing-learning-rate-in-keras", "kernel_id": "3871784"}, {"ref": "cedriclacrambe/autokeras-fashion-small", "kernel_id": "3494411"}, {"ref": "cedriclacrambe/autokeras-emnist", "kernel_id": "3493463"}, {"ref": "cedriclacrambe/autokeras-iwildcvam", "kernel_id": "3882922"}, {"ref": "cedriclacrambe/autokeras-mnist", "kernel_id": "3252499"}, {"ref": "mohabdiab/digit-recognition", "kernel_id": "3852151"}, {"ref": "vik1511/pca-from-scratch-and-cnn-using-tensorflow", "kernel_id": "3627304"}, {"ref": "shaileshsingh1/neural-net-scratch-mlp-pytorch", "kernel_id": "3657331"}, {"ref": "anuradhakrishnan/kernel-for-mnist-digit", "kernel_id": "3547562"}, {"ref": "shobhit1998/self-study-6sem-mnist-dataset-digit-recognizer", "kernel_id": "3406906"}, {"ref": "nsvr57/digit", "kernel_id": "3807275"}, {"ref": "ahmedelsaied3210/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "3882657"}, {"ref": "telusupriya/kernel3f8bd57ba4", "kernel_id": "3423003"}, {"ref": "hs39ma/kaggle-digit-recognizer-and-keras-cnn-convol", "kernel_id": "3164757"}, {"ref": "hs39ma/keras-single-input-and-multiple-outputs", "kernel_id": "3729811"}, {"ref": "supratimhaldar/digit-recognizer-mnist-cnn-sandbox", "kernel_id": "3119021"}, {"ref": "frabbisw/auto-encoder", "kernel_id": "3003901"}, {"ref": "dannielr/deep-learning-mnist-demo", "kernel_id": "3986411"}, {"ref": "dannielr/exercise-deep-learning-fashion", "kernel_id": "3986433"}, {"ref": "fraxoe/simple-cnn-with-imagedatagenerator", "kernel_id": "3412515"}, {"ref": "akshat9412165881/mnist-nn", "kernel_id": "3435500"}, {"ref": "akshat9412165881/cnn-mnist", "kernel_id": "3424389"}, {"ref": "yashchoudhary/mnist-eda-and-keras-starter-code-99-53", "kernel_id": "3829911"}, {"ref": "sarques/mnist-digit-alphabets-recognizer", "kernel_id": "3954036"}, {"ref": "xlocus/cnn-with-pytorch", "kernel_id": "3816061"}, {"ref": "duansm/crnn-for-mnist", "kernel_id": "3137837"}, {"ref": "jagadeeshkotra/mnist-with-pytorch-the-easy-way-with-cnn-s", "kernel_id": "3335908"}, {"ref": "jagadeeshkotra/mnist-with-pytorch-the-easy-way", "kernel_id": "3334999"}, {"ref": "jagadeeshkotra/mnist-with-mxnet", "kernel_id": "3688273"}, {"ref": "zhibochen/mnist-classification-by-cnn", "kernel_id": "3818379"}, {"ref": "gazi13/convolutional-neural-network-cnn-example-1", "kernel_id": "3122866"}, {"ref": "anith88/keras-note-book-mnist", "kernel_id": "3294171"}, {"ref": "nayan082/interactive-intro-to-dimensionality-reduction", "kernel_id": "3738500"}, {"ref": "tikedameu/randomforest-digitrecognizer", "kernel_id": "3755861"}, {"ref": "brauns/hello-mnist", "kernel_id": "3881344"}, {"ref": "atulyadav01/digit-recognizer-deep-learning", "kernel_id": "3010286"}, {"ref": "fran77/predictions-on-mnist-data", "kernel_id": "3031329"}, {"ref": "firstbloody/build-your-own-cnn-step-by-step-and-voting-0-997", "kernel_id": "3863063"}, {"ref": "suademre/deep-learning-cnn-with-keras", "kernel_id": "3151265"}, {"ref": "sohailrajabi/mnist", "kernel_id": "3488437"}, {"ref": "ranjanhunt/basic-classification-using-tensorflow-s-keras-api", "kernel_id": "3148616"}, {"ref": "shyambajaj/digit-recognizer-using-deep-learning", "kernel_id": "3005089"}, {"ref": "nischay999/nischay-svm-non-linear", "kernel_id": "3338980"}, {"ref": "krasilnikov/mnistcompetition", "kernel_id": "3131525"}, {"ref": "tanchris/digit-recognizer-comparing-knn-mlp-and-keras", "kernel_id": "3867128"}, {"ref": "littleraj30/mnist-tensorflow-tutorial", "kernel_id": "3284075"}, {"ref": "aorujov/digit-recognizer-cnn-99-3-simple-nn-97-2", "kernel_id": "3761219"}, {"ref": "gondsourabh40/linear-svc-with-0-97600-accuracy", "kernel_id": "3768564"}, {"ref": "walidbachri/digits-recognition-tensorflow-vs-keras", "kernel_id": "3177034"}, {"ref": "sreeram1234/keras-cnn-ensemble-of-25-nets-lb-0-99685", "kernel_id": "3149669"}, {"ref": "dalip98/digit-recognizer", "kernel_id": "3437991"}, {"ref": "oguzhann/convolutional-neural-networks-digit-recognizer", "kernel_id": "3373281"}, {"ref": "ahmetkorkmaz/mnist-no-library", "kernel_id": "3687763"}, {"ref": "ahmetkorkmaz/mnist-keras-early-stopping", "kernel_id": "3558276"}, {"ref": "santoshcbit2002/digit-recognizer-using-2-layer-cnn", "kernel_id": "3897127"}, {"ref": "anhtu1197/kernel22ee08ee02", "kernel_id": "3530206"}, {"ref": "jorijnsmit/very-basic-approach-to-mnist-digit-recognition", "kernel_id": "3303130"}, {"ref": "shubhendra7/digit-recognizer-pca-kmeans", "kernel_id": "3575318"}, {"ref": "samarthsarin/simple-cnn-using-keras-with-4-different-models", "kernel_id": "3678034"}, {"ref": "samuellwl/typical-mnist-task", "kernel_id": "3045387"}, {"ref": "varun0727/digit-recognizer-with-neural-network", "kernel_id": "3176927"}, {"ref": "varun0727/digit-recognizer-with-cnn", "kernel_id": "3521571"}, {"ref": "peterjay/kernel9320ea62e5", "kernel_id": "3824877"}, {"ref": "galchechik/mnist-kernel-for", "kernel_id": "3211268"}, {"ref": "moamenahmed/digit-recognition-with-cnn", "kernel_id": "3106327"}, {"ref": "bassjo/counting-at-the-speed-of-lightgbm", "kernel_id": "3161210"}, {"ref": "kavyajeet/using-le-net", "kernel_id": "3766655"}, {"ref": "byterider/cnn-digit", "kernel_id": "3249115"}, {"ref": "wanghelen/mnist-pca-svm", "kernel_id": "3296893"}, {"ref": "darkside92/simple-best-digit-recognizer-with-cnn-top-5", "kernel_id": "3144008"}, {"ref": "vikasmanohar/mnist-vikas", "kernel_id": "3921402"}, {"ref": "raiaman15/mnist-digit-recognition-svm", "kernel_id": "3581843"}, {"ref": "laloromero/digit-recognition-knn-and-xgboosting", "kernel_id": "3540048"}, {"ref": "johnwugwu/simple-k-nn-for-new-learners", "kernel_id": "3032690"}, {"ref": "weixinxu666/residual-networks-and-mnist", "kernel_id": "3625013"}, {"ref": "bgmello/cnn-for-mnist", "kernel_id": "3021444"}, {"ref": "lenavolbach/asymnist", "kernel_id": "3987046"}, {"ref": "soounderground/torch", "kernel_id": "3088574"}, {"ref": "pashatikhonov/digitsrecognition", "kernel_id": "3755613"}, {"ref": "abc95007/keras-gan-test-0520", "kernel_id": "3959595"}, {"ref": "ahmadwaly/kernelc07466e5d6", "kernel_id": "3019637"}, {"ref": "cemutku/digit-recognizer-with-cnn", "kernel_id": "3049743"}, {"ref": "sunilsj99/digit-recognition-using-cnn-keras", "kernel_id": "3924162"}, {"ref": "sgankit93/applying-t-sne-on-mnist-dataset", "kernel_id": "3616019"}, {"ref": "sgankit93/learning-principal-component-analysis-pca", "kernel_id": "3602745"}, {"ref": "qwp8510/keras-digit-recognizee-by-cnn", "kernel_id": "3464756"}, {"ref": "noelmat/digit-recog", "kernel_id": "3383969"}, {"ref": "loktev/combining-incept-resnet-style-blocks", "kernel_id": "3020236"}, {"ref": "lalit527/digit-recognizer", "kernel_id": "3287070"}, {"ref": "yairhadad1/tensorflow-basic-deep-neural-network", "kernel_id": "3379496"}, {"ref": "yairhadad1/synthetic-data-generation-with-gaussianmixture", "kernel_id": "3778028"}, {"ref": "yairhadad1/detect-outliers-with-pca", "kernel_id": "3750455"}, {"ref": "faezakamran/deep-learning-from-scratch", "kernel_id": "3307205"}, {"ref": "faezakamran/exercise-deep-learning-from-scratch", "kernel_id": "3307266"}, {"ref": "faezakamran/exercise-dropout-and-strides-for-larger-models", "kernel_id": "3319220"}, {"ref": "faezakamran/dropout-and-strides-for-larger-models", "kernel_id": "3319132"}, {"ref": "nahidhasanpappu/interactive-intro-to-dimensionality-reduction", "kernel_id": "3523251"}, {"ref": "asauve/mnist-cnn-da-batchnorm-maxpool-kfold10", "kernel_id": "3696423"}, {"ref": "ksatis/digit-recognizer-linear-and-nonlinear-svm", "kernel_id": "3554979"}, {"ref": "nishan192/mnist-digit-recognition-using-svm", "kernel_id": "3569710"}, {"ref": "lucasfs/mnist", "kernel_id": "3385327"}, {"ref": "rania92/digit-recognizer-using-non-linear-svm", "kernel_id": "3559312"}, {"ref": "ishamandrekar/digitrecognizerusingsvm", "kernel_id": "3586357"}, {"ref": "androidloop/exercise-dropout-and-strides-for-larger-models", "kernel_id": "3084801"}, {"ref": "harshalzele/digit-recognizer", "kernel_id": "3260085"}, {"ref": "frauscoo/keras-mnist", "kernel_id": "3210030"}, {"ref": "aloksriva/kernel03e17e3be0", "kernel_id": "3901057"}, {"ref": "parnam/kernel5d6f3405fd", "kernel_id": "3584731"}, {"ref": "nidhielex/kernel374eecc964", "kernel_id": "3569554"}, {"ref": "sija13/digit-recognizer-w-neural-network-cnn-updated", "kernel_id": "3278872"}, {"ref": "shashwattiwary/mnist-comparison-of-accuracies-of-svm-kernels", "kernel_id": "3590427"}, {"ref": "shashwattiwary/mnist-svm-polynomial-kernel", "kernel_id": "3579176"}, {"ref": "yihaoyang/yolo-scratch", "kernel_id": "3936788"}, {"ref": "duykhanh99/cnn-architecture", "kernel_id": "3753998"}, {"ref": "pyy0715/mnist-deep-learning-by-h2o", "kernel_id": "3579334"}, {"ref": "msitapati/hello-mnist", "kernel_id": "3496203"}, {"ref": "aravindsairam1995/mnist-classification-using-3-layer-dnn-with-tf", "kernel_id": "3020466"}, {"ref": "elcaiseri/mnist-simple-machine-learning-algorithms", "kernel_id": "3265956"}, {"ref": "elcaiseri/mnist-simple-cnn-keras-accuracy-0-99-top-1", "kernel_id": "3266938"}, {"ref": "zjjszj/cnn-keras-digitrecognizer", "kernel_id": "3190374"}, {"ref": "sachinkun21/digit-recognition-mnist", "kernel_id": "3479174"}, {"ref": "sachinkun21/simple-cnn-with-nadam-opitmizer-99-5", "kernel_id": "3879208"}, {"ref": "shefalik/exercise-dropout-and-strides-for-larger-models", "kernel_id": "3286268"}, {"ref": "shefalik/exercise-deep-learning-from-scratch", "kernel_id": "3285641"}, {"ref": "shefalik/kernelf3da2ee363", "kernel_id": "3286688"}, {"ref": "shefalik/mnist-digit", "kernel_id": "3344731"}, {"ref": "caoboxiao/digit-recognizer", "kernel_id": "3610102"}, {"ref": "sherrytp/digit-recognition", "kernel_id": "3611984"}, {"ref": "yutaoc/cnn-on-mnist", "kernel_id": "3446609"}, {"ref": "naveen6gowda/mnist-digit-detection", "kernel_id": "3533712"}, {"ref": "paulmorio/simple-pytorch-mnist", "kernel_id": "3672326"}, {"ref": "desareca/reconocimiento-digitos-con-red-neuronal", "kernel_id": "3199824"}, {"ref": "itslek/keras-cnn-models-selection-no-cheating-mnist-v29", "kernel_id": "3028561"}, {"ref": "karoloz/consider-illegible-digits", "kernel_id": "3636898"}, {"ref": "matthew886/cnn-keras", "kernel_id": "3355967"}, {"ref": "tinurohith/kernel166eef745b", "kernel_id": "3532501"}, {"ref": "chingiz14/kernaldigitrecognizing", "kernel_id": "3832843"}, {"ref": "bashturtle/dropout-and-strides-for-larger-models", "kernel_id": "3028388"}, {"ref": "heye0507/fastai-1-0-with-customized-itemlist", "kernel_id": "3070649"}, {"ref": "heye0507/another-approach-with-fastai", "kernel_id": "3782654"}, {"ref": "hrush777/simple-cnn", "kernel_id": "3467623"}, {"ref": "tongshengliang/digit-recognizer-simple-dnn-with-keras", "kernel_id": "3678713"}, {"ref": "ujjwalguptanith/digit-recognizer-by-cnn", "kernel_id": "3422336"}, {"ref": "ankur1401/digit-recognizer-using-dnn", "kernel_id": "3463086"}, {"ref": "artem239/mnist-cnn-simple", "kernel_id": "3519574"}, {"ref": "lunasnow/knn-framework", "kernel_id": "3070115"}, {"ref": "dedztbh/yet-another-very-simple-digit-recognizer-cnn", "kernel_id": "3459154"}, {"ref": "ruslanperesy/histogram-of-oriented-gradients-svm", "kernel_id": "3437696"}, {"ref": "zhaipro/hello-deep-learning", "kernel_id": "3233045"}, {"ref": "vinilvadakkepurakkal/kernel0fa45e1bac", "kernel_id": "3852184"}, {"ref": "redreoicy/glm-exploration", "kernel_id": "3152745"}, {"ref": "deependrapushkar/handwritten-digit-recognition", "kernel_id": "3423687"}, {"ref": "gaoyirui/digital-recognizer-pca-svm", "kernel_id": "3841516"}, {"ref": "gaoyirui/digital-recognizer-logistics-one-vs-all", "kernel_id": "3850211"}, {"ref": "abhishekpaul1998/digitrecognizer", "kernel_id": "3720117"}, {"ref": "mailyousufkhan/digit-recognizer-keras-cnn", "kernel_id": "3233953"}, {"ref": "oktaysamur/convolutional-neural-network-tutorial", "kernel_id": "3290367"}, {"ref": "mareevn/kernel1cb9888ddf", "kernel_id": "3546951"}, {"ref": "jinjinguang/pytorch-cnn-model-for-digit-recognizer", "kernel_id": "3363628"}, {"ref": "hormflakes/understanding-image-filters", "kernel_id": "3722184"}, {"ref": "shaygu/fast-cnn-for-beginners-0-9955", "kernel_id": "3971606"}, {"ref": "cibi075/kernel-cb", "kernel_id": "3396049"}, {"ref": "nsilman/digit-recognizer-trial-1", "kernel_id": "3537131"}, {"ref": "scaomath/simple-neural-network-for-mnist-numpy-from-scratch", "kernel_id": "3328329"}, {"ref": "keshavramaiah/lenet-5-implementation-for-digit-recognition", "kernel_id": "3410082"}, {"ref": "qwerdf007/digit-recognizer-using-pytorch", "kernel_id": "3163092"}, {"ref": "dpamgautam/linear-and-logistic-regression-using-pytorch", "kernel_id": "3412343"}, {"ref": "dpamgautam/digit-recognizer-keras", "kernel_id": "3247508"}, {"ref": "dpamgautam/digit-recognition-using-keras-1", "kernel_id": "3167603"}, {"ref": "lennixm/kernel13135da892", "kernel_id": "3779540"}, {"ref": "makoukji/exercise-dropout-and-strides-for-larger-models", "kernel_id": "3085288"}, {"ref": "makoukji/exercise-deep-learning-from-scratch", "kernel_id": "3085028"}, {"ref": "kartikkks/attempt-digit-recogniser", "kernel_id": "3425034"}, {"ref": "pbessin/digit-recognizer-deep-learning-cnn-keras", "kernel_id": "3675279"}, {"ref": "samhiatt/mnist-digit-recognizer", "kernel_id": "3391357"}, {"ref": "khiwila/kernel62a8cb7ba7", "kernel_id": "3493447"}, {"ref": "mahas44/deep-learning-practice-digit-recognizer-cnn", "kernel_id": "3497398"}, {"ref": "datahackeer/mnist", "kernel_id": "3524376"}, {"ref": "shreeviknesh/digit-recognition-using-cnn-keras-score-99-1", "kernel_id": "3951220"}, {"ref": "thammuio/suri-mnist-with-tf-keras", "kernel_id": "3147279"}, {"ref": "toldo171/numbers-digit-recognition", "kernel_id": "3439980"}, {"ref": "armanniki/my-first-kernel-in-kaggle", "kernel_id": "3178474"}, {"ref": "zcugni/cnn-discovery", "kernel_id": "3047038"}, {"ref": "saurabhverma0129/kernel0246887171", "kernel_id": "3477159"}, {"ref": "ankur1507014/interactive-intro-to-dimensionality-reducti-f7c704", "kernel_id": "3373210"}, {"ref": "aworycom/digitrecognizer", "kernel_id": "3034165"}, {"ref": "bstrayer0/exercise-deep-learning-from-scratch", "kernel_id": "3225221"}, {"ref": "bstrayer0/exercise-dropout-and-strides-for-larger-models", "kernel_id": "3225222"}, {"ref": "yukiuto/cnn-keras-0-996", "kernel_id": "3451611"}, {"ref": "yukiuto/15cnn", "kernel_id": "3461229"}, {"ref": "brandonbooth/glm-exploration", "kernel_id": "3773520"}, {"ref": "azure0102/mnist", "kernel_id": "3695397"}, {"ref": "iluvmahheart/simple-beginner-digit-recognisation", "kernel_id": "3934610"}, {"ref": "sdoctor86/keras-cnn-with-image-augmentation", "kernel_id": "3885820"}, {"ref": "nsparikh/mnist", "kernel_id": "3256996"}, {"ref": "imabhilash/simple-cnn-using-keras", "kernel_id": "3932052"}, {"ref": "hezhongpan/mnsit-test", "kernel_id": "3152694"}, {"ref": "daneiref/yet-another-mnist-using-fastai", "kernel_id": "3189496"}, {"ref": "qadassi/digit-recognizer-mnist", "kernel_id": "3528180"}, {"ref": "shahidul034/interactive-intro-to-dimensionality-reduction2", "kernel_id": "3523245"}, {"ref": "shahidul034/interactive-intro-to-dimensionality-reduc-practise", "kernel_id": "3575646"}, {"ref": "somir049/interactive-intro-to-dimensionality-reduction", "kernel_id": "3523256"}, {"ref": "nazim21/digit-recognition-using-pytorch", "kernel_id": "3566446"}, {"ref": "tareqjoy/interactive-intro-to-dimensionality-reduction", "kernel_id": "3531217"}, {"ref": "arafat1507115/interactive-intro-to-dimensionality-reducti-208658", "kernel_id": "3531300"}, {"ref": "mongrelbeast/digit-mnist", "kernel_id": "3740696"}, {"ref": "terminate9298/digit-predictions", "kernel_id": "3513537"}, {"ref": "kaggle2007/mnist-digit-recognizer-simple-solutions", "kernel_id": "3286368"}, {"ref": "narenderbansl/digit-recogniser", "kernel_id": "3691755"}, {"ref": "jan1892/digit-recognition-with-keras-99-75", "kernel_id": "3605350"}, {"ref": "ianatk/secondkernel", "kernel_id": "3696142"}, {"ref": "adikeshri/digit-recogniser-using-keras-0-964", "kernel_id": "3790526"}, {"ref": "ibrahimmadani/recognising-mnist-digits-cnn-keras", "kernel_id": "3909107"}, {"ref": "descrierx/recognize-digit", "kernel_id": "3948321"}, {"ref": "kingrose/testtsttest", "kernel_id": "3852652"}, {"ref": "iricardoi/exercise-deep-learning-from-scratch", "kernel_id": "3084010"}, {"ref": "umemiyaumeume/cnn-in-keras-japanese-comment-include", "kernel_id": "3995435"}, {"ref": "takepkaggle/my-mnist-prediction", "kernel_id": "3523023"}, {"ref": "viewside/digit-recognizer", "kernel_id": "3171820"}, {"ref": "longzai/kernele93746cf18", "kernel_id": "3175489"}, {"ref": "dajiaoyang/knn-framework", "kernel_id": "3358712"}, {"ref": "addono/digit-recognizer-fast-ai", "kernel_id": "3545087"}, {"ref": "raxtemur/digit-recognizer", "kernel_id": "3209778"}, {"ref": "easonic/knn-framework", "kernel_id": "3359975"}, {"ref": "amypeople/knn-framework-2da7f4", "kernel_id": "3215228"}, {"ref": "verylazycat/kernele62c278b93", "kernel_id": "3207316"}, {"ref": "ilyamazein/kernel1bba012356", "kernel_id": "3783551"}, {"ref": "choudharyvish73/kernelc3e608a9b8", "kernel_id": "3617113"}, {"ref": "anirudhjack/digit-recognising-using-inception-modules-keras", "kernel_id": "3857852"}, {"ref": "tmkggl/tensorflow-cnn-digit-recognizer", "kernel_id": "3569183"}, {"ref": "adamlouisky/mnist-image-class-tensorflow-cnn-99-51-test-acc", "kernel_id": "3197559"}, {"ref": "martinoywa/mnist-using-tensorflow", "kernel_id": "3770449"}, {"ref": "educatedgucci/digit-recognizer-by-cnn", "kernel_id": "3471206"}, {"ref": "sachinsingh21/digit-recognizer", "kernel_id": "3468075"}, {"ref": "pksx01/digit-recognition-using-keras-with-accuracy-99", "kernel_id": "3661386"}, {"ref": "dobriigoblin/nad-lab-2", "kernel_id": "3574915"}, {"ref": "sandera/laba2", "kernel_id": "3574899"}, {"ref": "blackdar/kostin-soloveva-davletshina-2", "kernel_id": "3574876"}, {"ref": "ke1604nid06/kernelc1d33509a9", "kernel_id": "3574893"}, {"ref": "ivijayraj/kernel08dea8f311", "kernel_id": "3286778"}, {"ref": "linsing/mnist", "kernel_id": "3344360"}, {"ref": "gutomitai/rbm-softmax-mnist-digit-classifier", "kernel_id": "3960713"}, {"ref": "rongxu/cnn-test-with-mnist-datasets", "kernel_id": "3672541"}, {"ref": "rakeshvd/digit-recognizer-tensorflow-keras", "kernel_id": "3916180"}, {"ref": "jdongchen/study-cnn-with-keras-thanks-yassine-ghouzam", "kernel_id": "3361875"}, {"ref": "albertegron/digits-recognizer-2nd", "kernel_id": "3342413"}, {"ref": "papeloto/simple-random-forest-manual-data-augmentation", "kernel_id": "3579492"}, {"ref": "akumaldo/mnist-classification-study-keras-nn", "kernel_id": "3552618"}, {"ref": "khangtran97/digit-recognizer", "kernel_id": "3821285"}, {"ref": "nguyenvlm/digit-recognizer-cnn", "kernel_id": "3821292"}, {"ref": "ngahn80/mnist-keras-cnn-with-99-07", "kernel_id": "3523270"}, {"ref": "ngahn80/kernal-mnist-with-ensemble-get-99-67", "kernel_id": "3610903"}, {"ref": "jekyllandhyde8999/recognizing-handwritten-digits-with-lenet5", "kernel_id": "3918624"}, {"ref": "mohit131/digit-recognizer", "kernel_id": "3624907"}, {"ref": "arcsinh/digit-classifier-w-mnist", "kernel_id": "3760599"}, {"ref": "fdev11/make-your-own-neural-network", "kernel_id": "3468955"}, {"ref": "fdev11/pa1-anpassung-von-vorbereitung", "kernel_id": "3543512"}, {"ref": "assassinee/zahlen-erkennen", "kernel_id": "3583637"}, {"ref": "javadevel/multilayer-perceptron-mnist", "kernel_id": "3579528"}, {"ref": "osmano/kernel4a7704b9da", "kernel_id": "3478253"}, {"ref": "doganv/digit-recognizer-challenge", "kernel_id": "3586379"}, {"ref": "doganv/digit-recognizer-challenge-trying-some-things-out", "kernel_id": "3673989"}, {"ref": "rhandhir/mlp-nns-f-r-mnist-abgabe", "kernel_id": "3674356"}, {"ref": "tiagodeliberali/neural-networks", "kernel_id": "3768085"}, {"ref": "tiagodeliberali/svm-and-python", "kernel_id": "3714771"}, {"ref": "tiagodeliberali/mnist-mdc-unicamp", "kernel_id": "3710144"}, {"ref": "wucao115/kernel-svm", "kernel_id": "3524767"}, {"ref": "iqwedre/kernel20564dbb14", "kernel_id": "3810006"}, {"ref": "bennylau/data-scaling-and-model-comparison", "kernel_id": "3998076"}, {"ref": "georgiasi/ki-ueb1", "kernel_id": "3679857"}, {"ref": "kascedric/introduction-aux-r-seaux-de-neurones", "kernel_id": "3653964"}, {"ref": "cdonohue/mnist-digit-recognition", "kernel_id": "3607150"}, {"ref": "lobird/cnn-with-tensorflow", "kernel_id": "3892893"}, {"ref": "mondaysu/digit-recognizer-tensorflow-cnn", "kernel_id": "3791798"}, {"ref": "clelong95/digits-classifier", "kernel_id": "3692069"}, {"ref": "se18m502/trying-cnn-for-digit-recognizer", "kernel_id": "3891805"}, {"ref": "uditsharmaai/digit-classifier-keras", "kernel_id": "3722409"}, {"ref": "noopurb/digitrecognition-using-cnn", "kernel_id": "3685182"}, {"ref": "snorlex/lenet5-vs-modified-lenet5", "kernel_id": "3648591"}, {"ref": "trannhut/support-vector-machine", "kernel_id": "3933594"}, {"ref": "trannhut/random-forest", "kernel_id": "3928194"}, {"ref": "trannhut/stochastic-gradient-descent", "kernel_id": "3928651"}, {"ref": "manjureddygl/digit-recognizer", "kernel_id": "3668600"}, {"ref": "shashank411/mnist-digit-recogniser", "kernel_id": "3756548"}, {"ref": "tonysun94/pytorch-1-0-1-on-mnist-acc-99-8", "kernel_id": "3934186"}, {"ref": "franlopezguzman/kernel1a3b1bd26d", "kernel_id": "3913434"}, {"ref": "abhishek494/kernel-naive-bayes", "kernel_id": "3789768"}, {"ref": "yourkg/digit-recognizer-cnn-pytorch", "kernel_id": "3946592"}, {"ref": "jane2020/digit-recognition-linear-svm-with-sgd", "kernel_id": "3857401"}, {"ref": "ydeepak/digitrecognizer", "kernel_id": "3840161"}, {"ref": "lucasmelin/digit-recognition", "kernel_id": "3963165"}, {"ref": "brandonallen1996/kernelae2282605b", "kernel_id": "3877692"}, {"ref": "gustafsilva/mpl-digit-recognizer-pytorch", "kernel_id": "3980966"}, {"ref": "paulfeakins/digit-recogniser-first-attempt", "kernel_id": "3935585"}, {"ref": "huangsiyu/mnist-keras", "kernel_id": "3971821"}, {"ref": "huangsiyu/mnist-pytorch", "kernel_id": "3984430"}, {"ref": "alanshawn/start-kaggle-journey-with-minst", "kernel_id": "3994523"}, {"ref": "lucasbruscato/exercise-deep-learning-from-scratch", "kernel_id": "4625916"}, {"ref": "lucasbruscato/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4640243"}, {"ref": "jiweiliu/mnist-pytorch-cnn", "kernel_id": "4697285"}, {"ref": "jiweiliu/mnist-fastai-cnn", "kernel_id": "4697513"}, {"ref": "jiweiliu/mnist-pytorch", "kernel_id": "4677638"}, {"ref": "utahrandall/reservoir-computing-and-generalized-learning", "kernel_id": "4286584"}, {"ref": "jaydeu/part-3-digit-recognition-with-cnns", "kernel_id": "4146251"}, {"ref": "jaydeu/part-1-digit-recognition-with-xgboost", "kernel_id": "4078015"}, {"ref": "priteshshrivastava/mnist-digit-recognizer-using-pytorch-fastai", "kernel_id": "4031590"}, {"ref": "zezo360/intro-to-computer-vision-with-pytorch", "kernel_id": "4314924"}, {"ref": "sonu1401/digit-recogniser-with-92-accuracy", "kernel_id": "4690041"}, {"ref": "ziweisong/knn-framework", "kernel_id": "4667775"}, {"ref": "vkat72293/cnn-digit-recognizer", "kernel_id": "4245522"}, {"ref": "pikkupr/mnist-convnn-1", "kernel_id": "4201892"}, {"ref": "pikkupr/mnist-exploringsimplednn-withensembling", "kernel_id": "4095872"}, {"ref": "pikkupr/mnist-convnn-ensemble", "kernel_id": "4328604"}, {"ref": "krajkumar/first-mnist-implementation", "kernel_id": "4610582"}, {"ref": "harshith246/keras-mnist", "kernel_id": "4843207"}, {"ref": "harshith246/rd-keras-mnist", "kernel_id": "4845691"}, {"ref": "harshith246/mnist-pytorch", "kernel_id": "4765507"}, {"ref": "harshith246/pytorch-starter-mnist", "kernel_id": "4765859"}, {"ref": "infernop/cartesian-jtf-computer-vision-and-cnns", "kernel_id": "4209426"}, {"ref": "jakzhang/imperfect-and-perfect-digits", "kernel_id": "4808245"}, {"ref": "nyxcat61/knn-framework", "kernel_id": "4618124"}, {"ref": "nyxcat61/knn-from-scratch", "kernel_id": "4835573"}, {"ref": "sanjurm16/cnn-keras", "kernel_id": "4136400"}, {"ref": "code1110/how-to-submit-from-google-colab", "kernel_id": "4427243"}, {"ref": "lherbeur/digit-recognizer", "kernel_id": "4758069"}, {"ref": "u6yuvi/digit-recognizer-pytorch", "kernel_id": "4576597"}, {"ref": "yogeshchandra/cnn-on-mnist-public-score-0-99271", "kernel_id": "4404951"}, {"ref": "gowrishankarin/precision-recall-roc-auc-validation-metrics", "kernel_id": "4269312"}, {"ref": "harshitmakkar/digit-recogniser-nn-vs-cnn", "kernel_id": "4038881"}, {"ref": "tanlikesmath/oversampling-mnist-with-fastai", "kernel_id": "4512188"}, {"ref": "mouli123/ann-images-batch-15", "kernel_id": "4195360"}, {"ref": "vuanhduc/first-try-mnist-with-fastai", "kernel_id": "4889946"}, {"ref": "moghazy/week2-dnn", "kernel_id": "4796289"}, {"ref": "karnakarthoorpu/digit-recognition-using-deep-nn", "kernel_id": "4438356"}, {"ref": "karnakarthoorpu/digit-recognition-using-nn", "kernel_id": "4195484"}, {"ref": "neonninja/cnn2d-train-on-entire-dataset", "kernel_id": "4382324"}, {"ref": "fabiorocha/svm-minist", "kernel_id": "4343130"}, {"ref": "omkar99/pca-t-sne-mnist", "kernel_id": "4455301"}, {"ref": "mitchfrump/deep-neural-network-keras-way", "kernel_id": "4743531"}, {"ref": "maheshak04/exercise-deep-learning-from-scratch", "kernel_id": "4698650"}, {"ref": "maheshak04/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4698800"}, {"ref": "ddb1995/digit-recognition", "kernel_id": "4231046"}, {"ref": "ddb1995/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4020829"}, {"ref": "ddb1995/exercise-deep-learning-from-scratch", "kernel_id": "4020098"}, {"ref": "ddb1995/check-best-score-mnist", "kernel_id": "4089547"}, {"ref": "yuchengluo/lenet", "kernel_id": "4849562"}, {"ref": "xswat696/kernelcb7a95af8b", "kernel_id": "4576068"}, {"ref": "shubham2306/cnn-on-mnist-using-keras-accuracy-0-993", "kernel_id": "4659472"}, {"ref": "dipeshpoudel/mnist-digitrecognition-using-cnn", "kernel_id": "4646477"}, {"ref": "vochicong/fast-ai-mnist", "kernel_id": "4996129"}, {"ref": "abefukasawa/how-to-choose-cnn-architecture-mnist", "kernel_id": "4870303"}, {"ref": "gsdeepakkumar/training-mnist-using-pytorch", "kernel_id": "4116060"}, {"ref": "grapestone5321/digit-recognizer-why-use-keras", "kernel_id": "4571592"}, {"ref": "grapestone5321/simple-convnet", "kernel_id": "4891336"}, {"ref": "unityrift/mnist-cnn-notebook-patrick-t", "kernel_id": "4040451"}, {"ref": "ymayank97/starter-s-guide-digit-recognizer", "kernel_id": "4486519"}, {"ref": "whizzkid/training-best-cnn-model-pytorch", "kernel_id": "4474691"}, {"ref": "harsh3369/kernel-digit-recognizer", "kernel_id": "4661180"}, {"ref": "tonyzheng/exercise-deep-learning-from-scratch", "kernel_id": "4403033"}, {"ref": "tonyzheng/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4403401"}, {"ref": "akshaymewada7/mnist-dataset-with-pca-randomforest", "kernel_id": "4594971"}, {"ref": "jhyun0919/mnist-study-tf-2-0-manual", "kernel_id": "4735554"}, {"ref": "jhyun0919/mnist-study-tf2-0-keras", "kernel_id": "4764143"}, {"ref": "rhodiumbeng/generating-handwritten-digits-wgan", "kernel_id": "4915420"}, {"ref": "rhodiumbeng/generating-handwritten-digits-gan", "kernel_id": "4670508"}, {"ref": "wordroid/digit-recognizer-with-acgan", "kernel_id": "4437070"}, {"ref": "aptx0218/gaijinmnist", "kernel_id": "4167705"}, {"ref": "minc33/k-nearest-neighbours-with-data-augmentation", "kernel_id": "4177791"}, {"ref": "ajisamudra/digit-classifier-mnist-data", "kernel_id": "4473007"}, {"ref": "kagglemlearner/error-analysis-for-digit-recognition-cnn-0-996", "kernel_id": "4478406"}, {"ref": "kagglemlearner/digit-recognition-cnn-in-keras-0-996-updated", "kernel_id": "4433878"}, {"ref": "arnavvats/from-logistic-regression-to-cnn", "kernel_id": "4334457"}, {"ref": "jackt153/neural-network-using-numpy", "kernel_id": "4160265"}, {"ref": "navjindervirdee/convolutional-neural-network-from-scratch", "kernel_id": "4364773"}, {"ref": "tonylek/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "4162873"}, {"ref": "tonylek/kernelf0b89abdfa", "kernel_id": "4163284"}, {"ref": "ayotui/model-selection-in-digit-recogniser", "kernel_id": "4564916"}, {"ref": "weiwei142/keras-cnn", "kernel_id": "4449954"}, {"ref": "ateplyuk/kernel-1", "kernel_id": "4635300"}, {"ref": "ateplyuk/kernel-3", "kernel_id": "4791662"}, {"ref": "ateplyuk/kernel-2", "kernel_id": "4771219"}, {"ref": "ateplyuk/mnist-pytorch-starter", "kernel_id": "4283435"}, {"ref": "ateplyuk/mnist-efficientnet", "kernel_id": "4218833"}, {"ref": "ryanmcd/good-performance-from-a-standard-convolutional-net", "kernel_id": "4861404"}, {"ref": "miteshchakma/kernele7b37c154f", "kernel_id": "4059589"}, {"ref": "arifromadhan19/mnist-classification-keras", "kernel_id": "4952227"}, {"ref": "tauseef6462/cnn-lenet-architecture-using-pytorch", "kernel_id": "4703307"}, {"ref": "dragonduck/tensorflow-dataset-api-for-mnist", "kernel_id": "4647034"}, {"ref": "harshthaker/pytorch-basics", "kernel_id": "4311304"}, {"ref": "kantarr/pca-code-1", "kernel_id": "4187298"}, {"ref": "arshadgeek/digit", "kernel_id": "4204812"}, {"ref": "carolineyi/knn-framework", "kernel_id": "4666788"}, {"ref": "mukultiwari/mnist-digit-recognizer-0-99614", "kernel_id": "4653699"}, {"ref": "sereuk/testing", "kernel_id": "4431578"}, {"ref": "raghaw/mnist-cnn-external-data-perfect-score", "kernel_id": "4552907"}, {"ref": "mamtadhaker/deep-learning-to-recognise-digits", "kernel_id": "4455809"}, {"ref": "myairforce1/keras-fully-connected", "kernel_id": "4152186"}, {"ref": "codhek/digit-recogniser-cnn", "kernel_id": "4008678"}, {"ref": "arpitjain007/dimensional-reduction-on-mnist-pca", "kernel_id": "4929676"}, {"ref": "akang0919/training-neural-networks-with-cnns-mnist", "kernel_id": "4979151"}, {"ref": "robvanmaris/mnist-with-fastai", "kernel_id": "4985920"}, {"ref": "vadhri/digit-recognizer-cnn-c-mp-c-mp-d-d", "kernel_id": "4658957"}, {"ref": "tenffe/fastai-v1-for-mnist", "kernel_id": "4114841"}, {"ref": "santidev/digit-recognizion-santidev", "kernel_id": "4739404"}, {"ref": "eoinoconn/lenet-5", "kernel_id": "4339304"}, {"ref": "fazilbtopal/introduction-to-generative-adversarial-networks", "kernel_id": "4427566"}, {"ref": "lakshyagupta/mnist-digit-recognition", "kernel_id": "4990895"}, {"ref": "mahadevmm9/digitrecognizer", "kernel_id": "4225663"}, {"ref": "prudvinit/keras-cnn", "kernel_id": "4699202"}, {"ref": "voidspiral/cnn-lenet-vgg16-architecture-using-pytorch", "kernel_id": "4904037"}, {"ref": "anshuljdhingra/mnsit-digit-recognizer", "kernel_id": "4726592"}, {"ref": "moazmagdy/cnn-for-minst-dataset-public-score-0-99658", "kernel_id": "4062553"}, {"ref": "slehkyi/image-recognition-building-simple-digit-detector", "kernel_id": "4780662"}, {"ref": "watanabe2362/mnist-vgg16", "kernel_id": "4915297"}, {"ref": "lonewolf45/model-2", "kernel_id": "4034945"}, {"ref": "shailendrayadav/cnn-for-mnist-kaggle-competition", "kernel_id": "4608399"}, {"ref": "shailendrayadav/tensorflow-deep-learning-mnist-dataset", "kernel_id": "4429036"}, {"ref": "sanwal092/3-layer-neural-network-from-scratch", "kernel_id": "4728315"}, {"ref": "wsm1992/tensorflow-cnn-mnist", "kernel_id": "4152422"}, {"ref": "siddheshsathe/digit-recognizer", "kernel_id": "4068462"}, {"ref": "siddheshsathe/digit-recognition-conv2d", "kernel_id": "4083826"}, {"ref": "ricardtrinchet/digit-recognizer", "kernel_id": "4609836"}, {"ref": "greatraiden/digit-recognizer", "kernel_id": "4366819"}, {"ref": "selvaria/kernel-mnist-basic-0-991acc", "kernel_id": "4472917"}, {"ref": "manmohan291/minst-dataset-classification-with-error-analysis", "kernel_id": "4032600"}, {"ref": "prodzar/comparing-cnn-architectures-on-digit-recognition", "kernel_id": "4901120"}, {"ref": "chinmay08/simplest-cnn-implementation-with-more-than-99-acc", "kernel_id": "4487369"}, {"ref": "vijendra99/mnist-digit-recognition-v2", "kernel_id": "4229095"}, {"ref": "chaitanyamadaka/pca-for-visualisation-classification", "kernel_id": "4813153"}, {"ref": "kaushal2896/digit-recognizer-using-simplest-nn", "kernel_id": "4456342"}, {"ref": "nahumsa/mnist-with-keras", "kernel_id": "4682912"}, {"ref": "arpitashenoy/cnn-keras-mnist", "kernel_id": "4574273"}, {"ref": "erinsweet/helloworldml", "kernel_id": "4154472"}, {"ref": "revanthrex/digit-recognizer", "kernel_id": "4410959"}, {"ref": "manojkumarm/mnist-data-first-model", "kernel_id": "4686528"}, {"ref": "anirudhchak/keras-cnn-for-digit-recognition", "kernel_id": "4223111"}, {"ref": "asvinth/digit-recognition-keras", "kernel_id": "4224969"}, {"ref": "asvinth/tesing-mnist-with-tensorflow", "kernel_id": "4394889"}, {"ref": "ajhinsvark/digit-classifier", "kernel_id": "4126860"}, {"ref": "avinashlalith/cnn-with-tensorflow-2-0", "kernel_id": "4372332"}, {"ref": "sunixliu/digit-recognition-cnn-keras", "kernel_id": "4143339"}, {"ref": "saurabhghosh/mnist-with-cnn", "kernel_id": "4829753"}, {"ref": "taru58/kernel67049594f1", "kernel_id": "4219784"}, {"ref": "gopeshk/mnist-cnns", "kernel_id": "4870065"}, {"ref": "siddheshsingh/kernel3223b789c3", "kernel_id": "4891541"}, {"ref": "jobzhf88/mnist-myself", "kernel_id": "4651196"}, {"ref": "shisigang/network-in-network-with-tensorflow2-0", "kernel_id": "4862525"}, {"ref": "dhruvgupta2801/digit-recogniser-cnn-99-1", "kernel_id": "4356513"}, {"ref": "shashwat422/digit-recognizer-cnn-keras", "kernel_id": "4047742"}, {"ref": "rsingh99/simple-cnn-for-mnist", "kernel_id": "4925726"}, {"ref": "googlemkunthe/plain-neural-network", "kernel_id": "4797438"}, {"ref": "apresswala52/digit-recognizer-simple-model-with-99-accuracy", "kernel_id": "4679614"}, {"ref": "tippu89/mnist-keras-dnn-gan", "kernel_id": "4810169"}, {"ref": "dpkagg/kernelf635fa404b", "kernel_id": "4941577"}, {"ref": "zecklar/mnist", "kernel_id": "4864231"}, {"ref": "martinkondor/digitrecognizer", "kernel_id": "4476593"}, {"ref": "arkajyotimukherjee/mnist-using-cnn-v2", "kernel_id": "4441086"}, {"ref": "wikifed/first-keras-model-mnist", "kernel_id": "4754243"}, {"ref": "gopalcbala/cnn-digit-recognition", "kernel_id": "4178221"}, {"ref": "mctschecker/mnistfastairesnet50", "kernel_id": "4596375"}, {"ref": "aakashg1999/mnist-fai", "kernel_id": "4749945"}, {"ref": "rozamira/mnist-keras-mlp-no-augmentation", "kernel_id": "4872207"}, {"ref": "rozamira/mnist-keras-cnn", "kernel_id": "4894903"}, {"ref": "ant3ng/fastai-dl2-01-matmul", "kernel_id": "4793702"}, {"ref": "animeshsinha1309/digit-recognition-using-keras-cnn", "kernel_id": "4957251"}, {"ref": "irfanarif39/mnist-classifier-with-cnn-keras", "kernel_id": "4695419"}, {"ref": "hieu1344/neural-network-with-tensorflow-beginner", "kernel_id": "4548453"}, {"ref": "hieu1344/resnet", "kernel_id": "4625434"}, {"ref": "hieu1344/lenet-5", "kernel_id": "4667722"}, {"ref": "joeljoaquim/hml-chap03-classification", "kernel_id": "4742448"}, {"ref": "yukang001/using-cnn", "kernel_id": "4252985"}, {"ref": "liux3021/digit-recognizer", "kernel_id": "4566454"}, {"ref": "mehras/digit-recognisation-using-pytorch", "kernel_id": "4390581"}, {"ref": "orzeuek/digit-recognizer-simple-svm-based-model", "kernel_id": "4296862"}, {"ref": "shreyansh1304/cnn-using-keras-99-3-accuracy", "kernel_id": "4475156"}, {"ref": "nitron/mnist-fastai", "kernel_id": "4405357"}, {"ref": "nitron/mnist-keras", "kernel_id": "4341090"}, {"ref": "mrvturan96/convolutional-neural-network-cnn-tutorial", "kernel_id": "4562824"}, {"ref": "deepanshu277/cnn-digit-recognizer", "kernel_id": "4324543"}, {"ref": "xinyouren1995/mnist-mlp", "kernel_id": "4208832"}, {"ref": "tommzzhou/mnist-with-tf-keras", "kernel_id": "4760129"}, {"ref": "synnfusion/softmax-on-mnist-from-scratch", "kernel_id": "4910869"}, {"ref": "sunyuanxi/digit-recognizer-keras-solution", "kernel_id": "4636846"}, {"ref": "sunyuanxi/digit-recognizer-sklearn-solution", "kernel_id": "4523855"}, {"ref": "selvarajvenkatesan/digit-recognizer-using-keras", "kernel_id": "4932868"}, {"ref": "handabaldeep/kernel016ed106e6", "kernel_id": "4413088"}, {"ref": "pierpaolo28/pytorch-digit-recognizer", "kernel_id": "4641810"}, {"ref": "ankit275/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4598828"}, {"ref": "ankit275/exercise-deep-learning-from-scratch", "kernel_id": "4588386"}, {"ref": "aakashg339/digit-recognizer", "kernel_id": "4540563"}, {"ref": "akshayvyas/digit-recognition-mnist-data-deep-learning", "kernel_id": "4282413"}, {"ref": "aysenursoyturk/cnn-digit", "kernel_id": "4655756"}, {"ref": "kapileshkothavale/mnist-handwriting-recognition-numbers", "kernel_id": "4405125"}, {"ref": "author33/digit-recognizer", "kernel_id": "4473965"}, {"ref": "saikumar587/digit-recognizer-using-keras-pca-and-knn", "kernel_id": "4842416"}, {"ref": "hadehdhayor/handwritten-digit-recognition-using-mnist-dataset", "kernel_id": "4409803"}, {"ref": "mahdirahbar/digit-recognizer", "kernel_id": "4585324"}, {"ref": "leighlin0511/cnn-tensorboard-and-gpu-0-99657", "kernel_id": "4423262"}, {"ref": "kumakuma324/mnist-keras-easiest-simple", "kernel_id": "4572059"}, {"ref": "sohaibanwaar1203/how-to-choose-cnn-architecture-mnist", "kernel_id": "4394935"}, {"ref": "stephanedc/tutorial-keras-autoencoders", "kernel_id": "4958581"}, {"ref": "stephanedc/tutorial-cnn-partie-1-mnist-digits-classification", "kernel_id": "4566279"}, {"ref": "bhavesh98/digit-recogniz", "kernel_id": "4763142"}, {"ref": "rahulcs068/digit-recognition-using-svm", "kernel_id": "4912696"}, {"ref": "makvihas/mnist", "kernel_id": "4121326"}, {"ref": "divypandya/kernel77b6762b62", "kernel_id": "4583381"}, {"ref": "nudetiger/20190708-cnn", "kernel_id": "4682355"}, {"ref": "gipark2001/exercise-deep-learning-from-scratch", "kernel_id": "4876926"}, {"ref": "gipark2001/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4891088"}, {"ref": "geewynn/digit-recog", "kernel_id": "4296631"}, {"ref": "jjjokkker/cgan-for-mnist", "kernel_id": "4573452"}, {"ref": "niloykundu03/digit-recognizer", "kernel_id": "4874952"}, {"ref": "febriyantojefri/introduction-to-cnn-keras-yassine-ghouzam-s", "kernel_id": "4297932"}, {"ref": "swannnn/digits-recognizer-gl", "kernel_id": "4090566"}, {"ref": "giovanninig/minst-cnn-image-classifier", "kernel_id": "4616634"}, {"ref": "pratimah/kernel4196411aff", "kernel_id": "4796443"}, {"ref": "ahmadreza76/kernelabe042a6ce", "kernel_id": "4573143"}, {"ref": "vh1981/digit-recognizer-keras", "kernel_id": "4762341"}, {"ref": "suddho/digit", "kernel_id": "4770485"}, {"ref": "patertrap/mnist-classical-algorithms-pca", "kernel_id": "4128359"}, {"ref": "ashish8085/ashish-s-kernel", "kernel_id": "4040856"}, {"ref": "elhmadany/mnist-keras", "kernel_id": "4018359"}, {"ref": "elhmadany/minst-keras2", "kernel_id": "4048866"}, {"ref": "abhinand05/mnist-introduction-to-computervision-with-pytorch", "kernel_id": "4211063"}, {"ref": "louplus/digit-recognizer-used-auto-sklearn", "kernel_id": "4931607"}, {"ref": "joashjw/conditional-dcgan-cnn-using-32-images", "kernel_id": "4220148"}, {"ref": "gaurav8341/digit-recognization", "kernel_id": "4524344"}, {"ref": "kerryxie/recognize-digit-by-cnn", "kernel_id": "4880725"}, {"ref": "swatimalik650/digit-recognizer", "kernel_id": "4053282"}, {"ref": "honglou/kernel62809dded2", "kernel_id": "4474840"}, {"ref": "surananitish/exercise-deep-learning-from-scratch", "kernel_id": "4845696"}, {"ref": "surananitish/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4846241"}, {"ref": "ashukaraiya/digit-recognizer-using-keras", "kernel_id": "4405810"}, {"ref": "ojashreebhandare/beginner-s-digit-recognizer-with-keras-acc-99-3", "kernel_id": "4821780"}, {"ref": "mesaqib/digit-recognition-using-cnn", "kernel_id": "4801238"}, {"ref": "zithiat/mnist-tour", "kernel_id": "4259873"}, {"ref": "akhileshrai/intro-cnn-pytorch-pca-tnse-isomap", "kernel_id": "4093646"}, {"ref": "akhileshrai/pca-for-visualisation-classification", "kernel_id": "4001376"}, {"ref": "brittosabu/simple-cnn", "kernel_id": "4639822"}, {"ref": "chayannaskar26/digit-recognizer-keras-cnn", "kernel_id": "4135502"}, {"ref": "chayannaskar26/stratified-k-fold-cnn", "kernel_id": "4598229"}, {"ref": "petopunkki/digit-recognizer-v2", "kernel_id": "4463642"}, {"ref": "yizhang353/knn-framework-69dd58", "kernel_id": "4666896"}, {"ref": "mdkhan001/digit-recognizer", "kernel_id": "4384813"}, {"ref": "hughzhangcy/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4343396"}, {"ref": "hughzhangcy/exercise-deep-learning-from-scratch", "kernel_id": "4331525"}, {"ref": "ashishshrma/mnist-try-1", "kernel_id": "4165577"}, {"ref": "samlinz/simple-mnist-autoencoder", "kernel_id": "4023815"}, {"ref": "akashs2021/using-pytorch-for-beginners", "kernel_id": "4613620"}, {"ref": "sheik0/cnn-using-keras", "kernel_id": "4245852"}, {"ref": "zhou77711/mnist-fastai", "kernel_id": "4323931"}, {"ref": "batibayburak/digit-recognizer", "kernel_id": "4659079"}, {"ref": "pramodini18/handwritten-digit-recognition-using-svm", "kernel_id": "4936739"}, {"ref": "circlejerkhug/digit-recognizer-using-cnn-and-keras", "kernel_id": "4320818"}, {"ref": "gulshansharma/kernel79e6633de8", "kernel_id": "4591109"}, {"ref": "virajbagal/cnn-in-10-steps-with-100-acc-on-validation", "kernel_id": "4759877"}, {"ref": "freedomhappy/digitrecognizer", "kernel_id": "4188803"}, {"ref": "shobhit1thor/kernel39c4f69d0f", "kernel_id": "4661160"}, {"ref": "fireball684/digit-recon", "kernel_id": "4117598"}, {"ref": "okeaditya/begginers-guide-keras-cnn", "kernel_id": "4385369"}, {"ref": "fillerink/digit-recognizer", "kernel_id": "4609410"}, {"ref": "jmdatasci/number-recognition", "kernel_id": "4087176"}, {"ref": "shaygu/mnist-using-keras-cnn-top-7", "kernel_id": "4002601"}, {"ref": "shaygu/fashion-mnist-keras-cnn-94", "kernel_id": "4085744"}, {"ref": "khimrajsuthar/cnn-with-tenserflow", "kernel_id": "4982134"}, {"ref": "abstruse020/mnist-1", "kernel_id": "4048733"}, {"ref": "sovitrath/mnist-cnn", "kernel_id": "4538037"}, {"ref": "junxnone/kernel1747f00882", "kernel_id": "4813370"}, {"ref": "udayreddie/digit-recognizer", "kernel_id": "4759502"}, {"ref": "jatinkohli1979/pca-and-svc-0-97614", "kernel_id": "4899755"}, {"ref": "kayo11/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4356543"}, {"ref": "kayo11/exercise-deep-learning-from-scratch", "kernel_id": "4356360"}, {"ref": "calder10/digit-recognizer-using-cnn", "kernel_id": "4408047"}, {"ref": "gphilmod/my-great-kernel", "kernel_id": "4484101"}, {"ref": "gphilmod/kernel79e54431b8", "kernel_id": "4480035"}, {"ref": "gphilmod/my-breakthrough", "kernel_id": "4443809"}, {"ref": "srhsyk/kernela5f9250944", "kernel_id": "4374118"}, {"ref": "alexzhou007/knn-framework-hw1", "kernel_id": "4636510"}, {"ref": "arunkumishra/mnist-using-tf-1", "kernel_id": "4425290"}, {"ref": "hiks13/first-cnn", "kernel_id": "4187374"}, {"ref": "shashankdeshpande/tensorflow-cnn-intermediate", "kernel_id": "4249570"}, {"ref": "harishreddy18/lenet-greyscale-image-digit-classification", "kernel_id": "4065500"}, {"ref": "hoodini/number-detection-nn", "kernel_id": "4100463"}, {"ref": "umairnsr87/mnist", "kernel_id": "4585336"}, {"ref": "khalidzaki/digit-recognizer", "kernel_id": "4755318"}, {"ref": "rolfrokseth/digit-recognizer-fastai-resnet34", "kernel_id": "4794965"}, {"ref": "rolfrokseth/digit-recognizer-fastai-resnet50", "kernel_id": "4795843"}, {"ref": "soufianesys/conv-nn", "kernel_id": "4900628"}, {"ref": "alextowers123443/digitrecognizer-comp", "kernel_id": "4028792"}, {"ref": "kingofmidas/kernela5cc5811c4", "kernel_id": "4017353"}, {"ref": "nullcharacter/kernelc7c4f8d6eb", "kernel_id": "4217743"}, {"ref": "purvesh7/kernel93a4506675", "kernel_id": "4269364"}, {"ref": "mben429/beginner-dimensionality-reduction", "kernel_id": "4730205"}, {"ref": "majingliang/minist-with-cnn", "kernel_id": "4129323"}, {"ref": "gulu4857/digit-recognizer", "kernel_id": "4037398"}, {"ref": "dsandeep97/digit-recognizer-using-deep-neural-networks", "kernel_id": "4572711"}, {"ref": "abhishek24021996/digit-recogniser-keras", "kernel_id": "4984405"}, {"ref": "tungnguyen99tn/digit-recognition-cnn", "kernel_id": "4795206"}, {"ref": "ke1604pvs39/laba2", "kernel_id": "4016043"}, {"ref": "harisrinevas/kernel8ad463533b", "kernel_id": "4516043"}, {"ref": "youssephahmed/digits-model", "kernel_id": "4377008"}, {"ref": "infhyroyage/hello-pytorch-resnet18", "kernel_id": "4802297"}, {"ref": "billynguyen/from-svm-to-cnn", "kernel_id": "4673853"}, {"ref": "utkarshtiwari/simple-cnn-implementation-using-keras", "kernel_id": "4081536"}, {"ref": "utkarshtiwari/digit-recognizer-using-mlp-for-beginners", "kernel_id": "4073628"}, {"ref": "joshnarani/digit-prediction-using-cnn", "kernel_id": "4042652"}, {"ref": "maggiecao/knn-framework-229256", "kernel_id": "4667555"}, {"ref": "abdelrahmangamil/my-digits-are-better-than-yours", "kernel_id": "4049109"}, {"ref": "imranmik/digit-recognizer-using-cnn-98-9-accuracy", "kernel_id": "4647648"}, {"ref": "imranmik/digit-recognizer", "kernel_id": "4273741"}, {"ref": "ma7555/97-in-9-lines", "kernel_id": "4369498"}, {"ref": "ma7555/fisher-s-linear-discriminant-from-scratch-85-98", "kernel_id": "4012939"}, {"ref": "mohamed1993/kernelb12c992fc6", "kernel_id": "4060699"}, {"ref": "deekay13/digit-recognizer-random-forest", "kernel_id": "4220275"}, {"ref": "zhouchen1998/mnist-keras-densenet", "kernel_id": "4767567"}, {"ref": "vikrantdh/simple-tensorflow", "kernel_id": "4309959"}, {"ref": "michelmelo/reconhecimento-de-imagem", "kernel_id": "4177638"}, {"ref": "kyos1704/mnist-cnn-kernel5092957bf9", "kernel_id": "4620598"}, {"ref": "vivkvv/digits-cnn-3-times-by-10-iterations-top-10", "kernel_id": "4654010"}, {"ref": "alemvangrieken/proyecto-2-cnn-emergente-marcano-suarez-graterol", "kernel_id": "4286597"}, {"ref": "saifurrahman699/mnistdigitrecognizerusingtensorflow-accuracy-98", "kernel_id": "4995849"}, {"ref": "seraphwedd18/image-rec-conv", "kernel_id": "4039987"}, {"ref": "ifeng90/kernel18b27680ff", "kernel_id": "4064633"}, {"ref": "husseinadell/kernel881d6dbd62", "kernel_id": "4332228"}, {"ref": "baksvijay/digit-recognizer", "kernel_id": "4702077"}, {"ref": "younannagy/kerneld11d68bfc2", "kernel_id": "4338852"}, {"ref": "coolleer789/t-sne-reduction", "kernel_id": "4222508"}, {"ref": "vanquan/digit-recognizing-cnn-keras", "kernel_id": "4489795"}, {"ref": "qingyingliu/kernel858eb5d0f6", "kernel_id": "4082669"}, {"ref": "magedtalaat/digitcnn", "kernel_id": "4213236"}, {"ref": "abyaadrafid/fastai-vision-versus-tabular-learner", "kernel_id": "4072605"}, {"ref": "handerblue/knn-framework", "kernel_id": "4682783"}, {"ref": "yukikitayama/neural-network-classification-to-digit-images", "kernel_id": "4977594"}, {"ref": "prasadpatil99/digit-recognizer-with-cnn", "kernel_id": "4439703"}, {"ref": "masfour/99-7-accuracy-top-10-digit-classifier-tutorial", "kernel_id": "4549263"}, {"ref": "a4aakash/kernel46f078cc55", "kernel_id": "4931829"}, {"ref": "niladmirari/digits-recognizer-with-fast-ai", "kernel_id": "4442168"}, {"ref": "niladmirari/mnist-to-imagenet-folders", "kernel_id": "4440848"}, {"ref": "fedeliuyang/digit-recognizer-competition", "kernel_id": "4633911"}, {"ref": "sajaldeb25/digit-recognizer-by-cnn-sajal", "kernel_id": "4325729"}, {"ref": "casianmiron/1-6k-param-0-98-in-1-min-training", "kernel_id": "4002090"}, {"ref": "arturojose19/proyecto-2-mnist", "kernel_id": "4225358"}, {"ref": "zoomelectrico/proyecto-2-emergente", "kernel_id": "4285477"}, {"ref": "aishu25/digit-recognizer-keras", "kernel_id": "4782104"}, {"ref": "thexapholox/proyect", "kernel_id": "4303818"}, {"ref": "gustafsilva/cnn-digit-recognizer-pytorch", "kernel_id": "4038945"}, {"ref": "earama/proyecto2-cnn-mnist-arama-d-lacoste-de-castro", "kernel_id": "4298189"}, {"ref": "nazeernazeer/cnn-with-keras-99-accuracy", "kernel_id": "4674196"}, {"ref": "tongxue35/digit-recognizer", "kernel_id": "4259077"}, {"ref": "jay2jaykp/my-first-cnn-on-minst", "kernel_id": "4065780"}, {"ref": "careforyourcandy/proyecto-2", "kernel_id": "4255750"}, {"ref": "richardeascanio/convolutional-neural-networks-p2", "kernel_id": "4303471"}, {"ref": "wpan2019/digit-recognizer", "kernel_id": "4009145"}, {"ref": "vivianatepedino/vvcp2", "kernel_id": "4315566"}, {"ref": "cristianjacob1/kernelbe0a498694", "kernel_id": "4281397"}, {"ref": "slvdev/digit-recognizer-cnn-keras-99", "kernel_id": "4369818"}, {"ref": "nandin999/mnist-using-keras-improving-accuracy-13-99-96", "kernel_id": "4034019"}, {"ref": "peraktong/20190619-basic-example", "kernel_id": "4401419"}, {"ref": "ruqiyas/digit-recognizer", "kernel_id": "4090267"}, {"ref": "francescoalotto/seq-for-digits", "kernel_id": "4223023"}, {"ref": "drcapa/digit-recognizer-cnn", "kernel_id": "4899984"}, {"ref": "christinali91/knn-framework", "kernel_id": "4638157"}, {"ref": "mohder/fnn-w-tensorflow-w-o-keras-api-applied-to-mnist", "kernel_id": "4120018"}, {"ref": "vanshikachauhan/kernel01cec58915", "kernel_id": "4033797"}, {"ref": "aidanscottwilson/mnist-simple", "kernel_id": "4115209"}, {"ref": "gontcharovd/denis-mnist-deep-learning-practice", "kernel_id": "4629064"}, {"ref": "abhikbr/exercise-deep-learning-from-scratch", "kernel_id": "4404583"}, {"ref": "walidbenchikha/digit-recognizer", "kernel_id": "4853857"}, {"ref": "farrisdarawsheh/darawsheh-numrec", "kernel_id": "4527962"}, {"ref": "mike201905/digit-recognizer-by-cnn", "kernel_id": "4320589"}, {"ref": "ouss172/hand-written-digits-cnn-with-keras", "kernel_id": "4290144"}, {"ref": "crklausenburg/exercise-deep-learning-from-scratch", "kernel_id": "4923212"}, {"ref": "aishwaryamallampati/kernel36888188d0", "kernel_id": "4183875"}, {"ref": "jica98/digit-recognizer-using-tensorflow", "kernel_id": "4818968"}, {"ref": "kirtisamdevil21/first-try", "kernel_id": "4746392"}, {"ref": "kafeniaz/kerneld32cb6daab", "kernel_id": "4123772"}, {"ref": "modihere/exercise-deep-learning-from-scratch", "kernel_id": "4169206"}, {"ref": "iamsdt/pytorch-with-mila-activation-fuction", "kernel_id": "4845532"}, {"ref": "lance030201/digit-recognizer-test", "kernel_id": "4204606"}, {"ref": "mouri11/mnist-digit-recognition-using-deep-learning", "kernel_id": "4346121"}, {"ref": "kingne007/kernel2444b8a197", "kernel_id": "4220667"}, {"ref": "aplayer98/cactus-recognizer-with-predict-generator", "kernel_id": "4205988"}, {"ref": "unkownhihi/kernel-lb-score-bug", "kernel_id": "4338832"}, {"ref": "leekaggle123/mnist-numpy-from-scratch", "kernel_id": "4309193"}, {"ref": "hanslee01/digit-recognizer-with-cnn-fastai", "kernel_id": "4208051"}, {"ref": "gukang/digit-recognition-using-senet-and-inception", "kernel_id": "4917167"}, {"ref": "cedben/cnn-with-rfa-objective", "kernel_id": "4211659"}, {"ref": "orion12345/kerneleb4cc4e03b", "kernel_id": "4850263"}, {"ref": "tanmayvijay27/digit-recognizer-using-conv", "kernel_id": "4518406"}, {"ref": "tiaodengzhe/kernel64ecafd804", "kernel_id": "4429857"}, {"ref": "jakubwal/pytorch-cnn-digits-recognition", "kernel_id": "4327229"}, {"ref": "xiaoenn/kernel-one", "kernel_id": "4361589"}, {"ref": "alperozer/digit-recognizer", "kernel_id": "4865382"}, {"ref": "timtimjin/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "4429145"}, {"ref": "jaiguptaa/mnist-w-sequential-nn", "kernel_id": "4827628"}, {"ref": "aurelienmontmejat/digit-rocognizer-notebook", "kernel_id": "4430782"}, {"ref": "batuhan35/cnn-exercise-99-50-acc", "kernel_id": "4859372"}, {"ref": "descending99/mnist-data", "kernel_id": "4844677"}, {"ref": "ylei18/knn-framework", "kernel_id": "4571707"}, {"ref": "charlespoletowin/digit-recognize-knn", "kernel_id": "4471812"}, {"ref": "valentynsichkar/cnn-for-mnist-competition", "kernel_id": "4950920"}, {"ref": "cyannani123/recognizing-digits-with-keras-cnn-and-augmentation", "kernel_id": "4618727"}, {"ref": "philquinn/cnn-compitiation-mnist", "kernel_id": "4896060"}, {"ref": "milkitten/knn-framework", "kernel_id": "4598929"}, {"ref": "sarina129/knn-framework-bb9e22", "kernel_id": "4676701"}, {"ref": "lilih123/week1-session3-homework-knn-framework", "kernel_id": "4668765"}, {"ref": "ercjul/digit-recognizer-by-cnn", "kernel_id": "4700222"}, {"ref": "mahisoni/kernel771c53f08d", "kernel_id": "4840816"}, {"ref": "abajad/digit-2", "kernel_id": "4830728"}, {"ref": "cviv90/handwritten-digit-recognition", "kernel_id": "4801469"}, {"ref": "systemvaz/mnist-cnn-with-data-augmentation-lr-reduction", "kernel_id": "4784662"}, {"ref": "shadowfish/digit-cnn-via-tensorflow-for-begginer", "kernel_id": "4758345"}, {"ref": "aravindraju/wondering-if-it-s-really-true-part-2", "kernel_id": "4856115"}, {"ref": "aravindraju/wondering-if-it-s-really-true-part-1", "kernel_id": "4898487"}, {"ref": "hongmingzhang/exercise-deep-learning-from-scratch", "kernel_id": "4810207"}, {"ref": "hongmingzhang/exercise-dropout-and-strides-for-larger-models", "kernel_id": "4810500"}, {"ref": "sishenging/mnist", "kernel_id": "4855664"}, {"ref": "suneelpatel/digit-recognition-tf", "kernel_id": "4907015"}, {"ref": "kennyvh/mnist-nn", "kernel_id": "4980685"}, {"ref": "kmader/jigsaw-puzzle-solving-with-spatialtransformer", "kernel_id": "5420320"}, {"ref": "kmader/unsupervised-jigsaw-puzzle-solving-on-cifar10", "kernel_id": "5404224"}, {"ref": "kmader/unsupervised-jigsaw-puzzle-solving-auto-encoder", "kernel_id": "5414186"}, {"ref": "kmader/cifar-jigsaw-puzzle-solving-auto-encoder", "kernel_id": "5416470"}, {"ref": "kmader/unsupervised-jigsaw-puzzle-solving-on-mnist", "kernel_id": "5398470"}, {"ref": "kmader/jigsaw-solving-with-lstmspatialtransformer", "kernel_id": "5457246"}, {"ref": "kmader/personalizing-models-on-mnist", "kernel_id": "5001673"}, {"ref": "jiweiliu/fastai-resnet", "kernel_id": "5820646"}, {"ref": "remongabra/gdg-cairo-24-08-2019", "kernel_id": "5368012"}, {"ref": "emillarsson/cnn-with-keras-and-tensorflow-2-0", "kernel_id": "5254161"}, {"ref": "alosat/digit-reco", "kernel_id": "5582597"}, {"ref": "alosat/digit-reco-tf", "kernel_id": "5765938"}, {"ref": "arnocandel/mnist-with-h2o-deeplearning", "kernel_id": "5761172"}, {"ref": "nickel/intro-a-cnn", "kernel_id": "5217452"}, {"ref": "rpeer333/simple-pytorch-conv-net-for-mnist", "kernel_id": "5013803"}, {"ref": "akarshi07/kerneld6f1266d78", "kernel_id": "5123016"}, {"ref": "saurograndi/tf-dnn-tensorflow-deepnn", "kernel_id": "5354386"}, {"ref": "saurograndi/tf-cnn-tensorflow-convolutional-nn", "kernel_id": "5385148"}, {"ref": "saurograndi/svm-poly-2", "kernel_id": "5284504"}, {"ref": "ankush87/simple-neural-model-for-mnist-with-accurac-98", "kernel_id": "5024599"}, {"ref": "ankush87/cnn-model-data-augmentation-with-99-3-accuracy", "kernel_id": "5017009"}, {"ref": "alinagherman/digit-recognition-in-python-testing-svc-and-knn", "kernel_id": "5615756"}, {"ref": "skrjha20/mnist-cnn", "kernel_id": "5032795"}, {"ref": "joyjeni/mnist-99", "kernel_id": "5038978"}, {"ref": "vjha2280/mnist-kernel", "kernel_id": "5366305"}, {"ref": "tunguz/mnist-with-h2o-automl", "kernel_id": "5759849"}, {"ref": "tunguz/mnist-logistic-regression-baseline", "kernel_id": "5759546"}, {"ref": "tunguz/pca-with-nusvm", "kernel_id": "5945521"}, {"ref": "pyoupyou/digitrecognizer", "kernel_id": "5929995"}, {"ref": "joddle/convnet", "kernel_id": "5776523"}, {"ref": "laimonas/mnist-draft", "kernel_id": "5106856"}, {"ref": "edumerckx/kernel51f792d564", "kernel_id": "5551731"}, {"ref": "amarpandey/d-neural-network-for-mnist-handwritten-digits", "kernel_id": "5905300"}, {"ref": "phamquoc94/vinid", "kernel_id": "5766850"}, {"ref": "mkashif/dimensionality-reduction-and-viz-of-mnist-dataset", "kernel_id": "5063548"}, {"ref": "kostdiek/mnist-kernel", "kernel_id": "5946144"}, {"ref": "a77887/enas-mnist-macro-search", "kernel_id": "5596232"}, {"ref": "patricksu/minst-simplified-resnet-v3-radam", "kernel_id": "5286899"}, {"ref": "thuyngandao/fully-connected-nn-1-hidden-layer", "kernel_id": "5297477"}, {"ref": "thuyngandao/digit-recognizer-using-knn", "kernel_id": "5037791"}, {"ref": "thuyngandao/digit-recognizer-using-cnn", "kernel_id": "5030538"}, {"ref": "lightforever/mnist-catalyst", "kernel_id": "5209300"}, {"ref": "nestormontano/mnist-using-keras-from-r", "kernel_id": "5272114"}, {"ref": "tiandaye/digit-recognizer-using-lstm", "kernel_id": "5769888"}, {"ref": "tiandaye/pytorch-style-for-cv", "kernel_id": "5764477"}, {"ref": "idv2005/simple-xgboost-for-mnist", "kernel_id": "5004318"}, {"ref": "habibmrad1983/exercise-dropout-and-strides-for-larger-models", "kernel_id": "5591586"}, {"ref": "habibmrad1983/exercise-deep-learning-from-scratch", "kernel_id": "5590956"}, {"ref": "habibmrad1983/deep-neural-network-keras-way", "kernel_id": "5616235"}, {"ref": "habibmrad1983/simple-deep-mlp-with-keras", "kernel_id": "5617978"}, {"ref": "habibmrad1983/interactive-intro-to-dimensionality-reduction", "kernel_id": "5618516"}, {"ref": "jagannathrk/mnist-by-cnn-keras", "kernel_id": "5934921"}, {"ref": "nachiket273/simple-mnist-transfer-learning", "kernel_id": "5581565"}, {"ref": "deepakjhanji/mnist-training", "kernel_id": "5752958"}, {"ref": "karthikcs1/digit-recognizer-using-t-sne-cuda-using-gpu", "kernel_id": "5473661"}, {"ref": "karthikcs1/digit-recognizer-using-t-sne-using-sklearn-cpu", "kernel_id": "5432112"}, {"ref": "christofferr94/simple-cnn-with-keras-top-9", "kernel_id": "5226136"}, {"ref": "stevengolo/introduction-to-deep-learning-with-keras", "kernel_id": "5081762"}, {"ref": "stevengolo/backpropagation-in-mlp-with-numpy", "kernel_id": "5308888"}, {"ref": "sanath123/simple-keras-model", "kernel_id": "5956481"}, {"ref": "migom6/cnn-implementation-using-keras", "kernel_id": "5650937"}, {"ref": "jiaofenx/digit-recognizer-cnn-keras-tutorial-top-10", "kernel_id": "5052155"}, {"ref": "magokecol/mnist-cnn", "kernel_id": "5690702"}, {"ref": "magokecol/mnist-fc", "kernel_id": "5633967"}, {"ref": "kvsnoufal/autoencoder", "kernel_id": "5023642"}, {"ref": "arpitp/mnist-ann-pytorch", "kernel_id": "5157418"}, {"ref": "fernandoeac/simple-keras-conv2d-no-outside-data", "kernel_id": "5217179"}, {"ref": "mikkojkvaak/digit-training-with-imagedataaugmentor", "kernel_id": "5231526"}, {"ref": "zarphenus/mnist-with-random-trees", "kernel_id": "5044644"}, {"ref": "gomes555/rstudio-keras-mnist-example-study", "kernel_id": "5734705"}, {"ref": "diskandar69/beginners-guide-to-mnist-with-fast-ai", "kernel_id": "5406432"}, {"ref": "arateris/exercise-dropout-and-strides-for-larger-models", "kernel_id": "5098516"}, {"ref": "abhilash1910/mnist-convolution", "kernel_id": "5880335"}, {"ref": "charlesbird3/sklearn-svm", "kernel_id": "5305294"}, {"ref": "sanikamal/exercise-deep-learning-from-scratch", "kernel_id": "5096488"}, {"ref": "sanikamal/exercise-dropout-and-strides-for-larger-models", "kernel_id": "5097023"}, {"ref": "alexanderdbooth/exercise-deep-learning-from-scratch", "kernel_id": "5736076"}, {"ref": "alexanderdbooth/exercise-dropout-and-strides-for-larger-models", "kernel_id": "5736212"}, {"ref": "alexanderdbooth/digit-recognizer2-from-deep-learning-course", "kernel_id": "5760941"}, {"ref": "ishootlaser/getting-started-with-tfp", "kernel_id": "5568158"}, {"ref": "suoires1/mnist-a-gentle-introduction-to-classification", "kernel_id": "5721131"}, {"ref": "cgurkan/mnist-with-pytorch-cnn", "kernel_id": "5551289"}, {"ref": "askolkova/practicing-image-recognition-a-s", "kernel_id": "5191768"}, {"ref": "askolkova/fork-of-practicing-image-recognition-a-s", "kernel_id": "5516649"}, {"ref": "anuraglal1/digit-recognizer", "kernel_id": "5102803"}, {"ref": "rakin12/digit-recognizer-using-random-forest", "kernel_id": "5809594"}, {"ref": "rakin12/digit-recognizer-using-ann", "kernel_id": "5694088"}, {"ref": "shamrat3628/a-digit-recogniser", "kernel_id": "5758930"}, {"ref": "marcthalen/simple-cnn-in-keras-99", "kernel_id": "5872474"}, {"ref": "tanreinama/fastai-and-pytorch-baseline", "kernel_id": "5900648"}, {"ref": "tanreinama/lightgbm-baseline", "kernel_id": "5900664"}, {"ref": "pravinpawar/mnist-digit-recognizer", "kernel_id": "5816503"}, {"ref": "jweatheritt/digit-recognizer-fastai", "kernel_id": "5043480"}, {"ref": "oceancode/digit-recognizer", "kernel_id": "5165887"}, {"ref": "bombzhang/digit-mnist", "kernel_id": "5966755"}, {"ref": "heshamasem/digit-recognizer-cnn", "kernel_id": "5616376"}, {"ref": "diamondsnake/digit-recognizer-cnn", "kernel_id": "5873213"}, {"ref": "acleon/the-acleon-s-first-competion", "kernel_id": "5844541"}, {"ref": "arjunsinghrathod/cnn-hands-on-2", "kernel_id": "5978431"}, {"ref": "wainwetun/mnist-digit-recognition-pytorch", "kernel_id": "5273041"}, {"ref": "lavanyashukla01/activation-maps", "kernel_id": "5438861"}, {"ref": "lavanyashukla01/mnist-deep-dive", "kernel_id": "5442398"}, {"ref": "sachingg/digit-recognizer-using-tensorflow-convolutions", "kernel_id": "5434267"}, {"ref": "thehelixx/deep-nn", "kernel_id": "5056419"}, {"ref": "lymenlee/fast-ai-random-forest-mnist-model", "kernel_id": "5531780"}, {"ref": "hitluca/kernelf80f7c4a3c", "kernel_id": "5154050"}, {"ref": "rashmiek99/digit-recognition", "kernel_id": "5611411"}, {"ref": "rashmiek99/digit-recognition-cnn", "kernel_id": "5713277"}, {"ref": "moudip/mnist-keras-dip", "kernel_id": "5674715"}, {"ref": "timyouell/tim-youell-digit-recognizer-and-image-slicer", "kernel_id": "5828067"}, {"ref": "mehulgupta2016154/fork-of-my-first-cnn", "kernel_id": "5728468"}, {"ref": "sanwal092/tensorflow-and-cnn-99-accuracy", "kernel_id": "5811807"}, {"ref": "khoongweihao/mnist-eda-keras-cnn-baseline-walkthrough", "kernel_id": "5363426"}, {"ref": "sateesh110/usl-scikit-models-tsne-mds-lle-lda", "kernel_id": "5181263"}, {"ref": "sateesh110/sl-scikit-random-forest-with-without-pca", "kernel_id": "5108445"}, {"ref": "zhslzcz/tensorflow-mnist", "kernel_id": "5106478"}, {"ref": "gehadrabab138/my-solution-with-scikit-learn", "kernel_id": "5962411"}, {"ref": "petitbonney/digit-recognizer-with-keras", "kernel_id": "5546921"}, {"ref": "polyzer/beginners-tutorial-keras-nn-mnist-digits-0-81", "kernel_id": "5998265"}, {"ref": "sandeepnie/digit-recognizer-for-beginners", "kernel_id": "5948149"}, {"ref": "isaacbb/printing-layer-weights", "kernel_id": "5347237"}, {"ref": "mchomicz/digitrecognizer-simple-model", "kernel_id": "5146253"}, {"ref": "tricky999/mnist-inference", "kernel_id": "5243053"}, {"ref": "rashaddism/cnn-for-mnist-competition", "kernel_id": "5037291"}, {"ref": "pandadumpling/digit-recognizer-cnn", "kernel_id": "5407723"}, {"ref": "srinivas365/digit-recognizer-pytorch", "kernel_id": "5690657"}, {"ref": "misterion777/digitsclassifier", "kernel_id": "5174726"}, {"ref": "carlolepelaars/compressing-mnist-images-to-784-bits", "kernel_id": "5934970"}, {"ref": "carlolepelaars/97-on-mnist-with-a-single-decision-tree-t-sne", "kernel_id": "5863702"}, {"ref": "harshildarji/simple-cnn-with-tf-keras", "kernel_id": "5630402"}, {"ref": "manas0991/basic-cnn-with-keras", "kernel_id": "5985558"}, {"ref": "manas0991/basic-multi-layer-perceptron-with-keras", "kernel_id": "5942752"}, {"ref": "josephvm/mnist-with-pytorch", "kernel_id": "5683569"}, {"ref": "mchavoshi/digit-recognizer", "kernel_id": "5944129"}, {"ref": "sandra2905/cnn-keras-my-first-kaggle-notebook-accuracy-99", "kernel_id": "5755744"}, {"ref": "rajjai3/mnist-digitrecognition-withoutcnn-97-7-accuracy", "kernel_id": "5752140"}, {"ref": "tustunkok/an-implementation-of-mdig-xuan-y-and-pu-j", "kernel_id": "5905524"}, {"ref": "tustunkok/vann-mnist-tbd", "kernel_id": "5548432"}, {"ref": "tahasmt/digit-recognizer-cnn-99-6", "kernel_id": "5191172"}, {"ref": "ashishohri/digit-recognition-cnn-pytorch", "kernel_id": "5646106"}, {"ref": "risusanto/introduction-to-cnn-mnist-digit-recognition", "kernel_id": "5866368"}, {"ref": "mbeliu/handwritten-digit-recognizer-challenge", "kernel_id": "5733149"}, {"ref": "christianwallenwein/beginners-guide-to-mnist-with-fast-ai", "kernel_id": "5371331"}, {"ref": "andrebienemann/digital-recognizer-cnn", "kernel_id": "5812942"}, {"ref": "andrebienemann/digital-recognizer-ann", "kernel_id": "5809093"}, {"ref": "srivera/mnist-srivera-competition", "kernel_id": "5357381"}, {"ref": "linlin1007/cifar10", "kernel_id": "5627616"}, {"ref": "tippu89/mnist-keras-weights-initialization-activation-func", "kernel_id": "5086192"}, {"ref": "tippu89/mnist-digit-auto-encoder", "kernel_id": "5802791"}, {"ref": "anujsahay112/cnn-for-mnist-digit-recognizer", "kernel_id": "5869736"}, {"ref": "rozamira/mlp-keras-digit", "kernel_id": "5009698"}, {"ref": "abdeljalil/handwritten-digits-classification-with-keras-cnn", "kernel_id": "5241311"}, {"ref": "vineel369/digit-recognisation-with-dnn-tensorflow", "kernel_id": "5624019"}, {"ref": "umangjpatel/mnist-notebook", "kernel_id": "5976131"}, {"ref": "weixukong/a-simple-resnet-implementation", "kernel_id": "5802310"}, {"ref": "gregorypierce/mnist-learning-notebook", "kernel_id": "5709470"}, {"ref": "navneetsajwan/mnist-digit-classifier-with-adam-leaky-relu", "kernel_id": "5153086"}, {"ref": "tanyildizderya/convolutional-neural-network-cnn-tutorial", "kernel_id": "5530845"}, {"ref": "egjiriti/cnn-with-ensembles", "kernel_id": "5534092"}, {"ref": "camille004/lenet-5-cnn-with-keras", "kernel_id": "5143717"}, {"ref": "blackbirdj50/deep-learning-with-keras-mnsit-dataset", "kernel_id": "5172754"}, {"ref": "murats/cnn-on-digit-recognizer-competition", "kernel_id": "5059104"}, {"ref": "tianyuz/gan-keras", "kernel_id": "5200657"}, {"ref": "anthony35813/trying-out-a-cnn-on-mnist-digits", "kernel_id": "5885309"}, {"ref": "gipark2001/exercise-dropout-and-strides-for-larger-models-d", "kernel_id": "5096472"}, {"ref": "gipark2001/exercise-deep-learning-from-scratch-daily", "kernel_id": "5143713"}, {"ref": "mrlucasfischer/image-recognition-tutorial-with-cnns-99-4", "kernel_id": "5503097"}, {"ref": "rafay12/deep-learning-using-keras", "kernel_id": "5755474"}, {"ref": "jayachander123/mnist-keras-tensorflow", "kernel_id": "5947412"}, {"ref": "keerthana2/digit-recognizer-cnn", "kernel_id": "5529569"}, {"ref": "aakankshaws/digit-recognizer-using-pytorch", "kernel_id": "5125600"}, {"ref": "liujiantao/cnn-first", "kernel_id": "5885641"}, {"ref": "liujiantao/cnn-ensemble-for-digit-recognizer", "kernel_id": "5924234"}, {"ref": "liujiantao/kernel5bcbb36669", "kernel_id": "5927799"}, {"ref": "liujiantao/svm-for-binary-image-digit-recognize-submit", "kernel_id": "5943091"}, {"ref": "liujiantao/svm-for-gray-image-digit-recognize-submit", "kernel_id": "5943139"}, {"ref": "cavishek/digit-recognizer", "kernel_id": "5789259"}, {"ref": "aniketdixit/digit-recognizer", "kernel_id": "5827388"}, {"ref": "ashwin89872/mnist-digit-classifier-in-keras", "kernel_id": "5090616"}, {"ref": "kcsener/cnn-tutorial-with-digit-recognizer", "kernel_id": "5000773"}, {"ref": "ercoargante/neural-networks-workshop-5-ai1", "kernel_id": "5731694"}, {"ref": "tanvi471/digit-recognizer-pca-kmeans", "kernel_id": "5919644"}, {"ref": "chaitanyagarikipati/minist-with-pca-and-tensorflow", "kernel_id": "5572833"}, {"ref": "ashoksuthar93/mnist-99-7-digit-recognizer-using-keras-cnn", "kernel_id": "5976273"}, {"ref": "ankur1401/digit-recognizer-with-cnn-using-keras", "kernel_id": "5242311"}, {"ref": "yanzuolu/digit-recognizer-with-pytorch-torchvision", "kernel_id": "5782620"}, {"ref": "yyzz1010/exercise-dropout-and-strides-for-larger-models", "kernel_id": "5511804"}, {"ref": "yyzz1010/exercise-deep-learning-from-scratch", "kernel_id": "5511571"}, {"ref": "phykn88/backpropagation-example", "kernel_id": "5642523"}, {"ref": "erenat77/clustering-with-pca", "kernel_id": "5996706"}, {"ref": "avannigudimetla/svm-digitrecognizer", "kernel_id": "5100226"}, {"ref": "lalithmovva/kernel7f63dab21e", "kernel_id": "5227144"}, {"ref": "mtszkw/top-10-99-6-with-ensemble-of-8-cnns", "kernel_id": "5751226"}, {"ref": "roshangupta13/cnn-for-beginner", "kernel_id": "5402466"}, {"ref": "ashtonap/digit-recognizer", "kernel_id": "5814590"}, {"ref": "chandraveshchaudhari/mnist-dataset-digit-recognition", "kernel_id": "5162587"}, {"ref": "need4data/using-tensorflow-to-implement-lenet-5-modern", "kernel_id": "5381437"}, {"ref": "milindsoorya/mnist-dataset-digit-recognizer", "kernel_id": "5617798"}, {"ref": "marjankh/mnist-keras", "kernel_id": "5334639"}, {"ref": "ghousethanedar/minst-dataset", "kernel_id": "5249585"}, {"ref": "mzp0625/titanic-machine-learning-from-disaster", "kernel_id": "5651222"}, {"ref": "mzp0625/digit-recognizer-using-neural-networks", "kernel_id": "5926446"}, {"ref": "nihalbey/knn-with-tensorflow", "kernel_id": "5123984"}, {"ref": "anazmy14/neural-network-from-scratch-0-98", "kernel_id": "5234133"}, {"ref": "moatazkhaled/digit-recognition-with-acc-98", "kernel_id": "5844330"}, {"ref": "tvtejas/mnist-fnn", "kernel_id": "5209975"}, {"ref": "tvtejas/mnist-cnn", "kernel_id": "5214999"}, {"ref": "martinoywa/mnist-with-pytorch", "kernel_id": "5711322"}, {"ref": "gowtamsingulur/dimensionality-reduction-using-pca-vs-t-sne", "kernel_id": "5094500"}, {"ref": "khanheena69/digit-recognizer-khanheena6977", "kernel_id": "5625025"}, {"ref": "karthik65432/karthik-pytorch-mnist-cnn", "kernel_id": "5213083"}, {"ref": "karthik65432/mnist-ffn-pytorch", "kernel_id": "5211853"}, {"ref": "onkarank/pytorch-mnist-cnn-classification", "kernel_id": "5214998"}, {"ref": "onkarank/mnist-ffn-pytorch", "kernel_id": "5160934"}, {"ref": "kketand2/mnist-cnn", "kernel_id": "5212937"}, {"ref": "kketand2/mnist-ffn", "kernel_id": "5213589"}, {"ref": "vikas34904/kernelfe9edf7ae1", "kernel_id": "5214125"}, {"ref": "ujjal02/digit-recognition", "kernel_id": "5753038"}, {"ref": "hyeminoh/korean-ver", "kernel_id": "5343242"}, {"ref": "jianyzhu/minist-digital-recognition", "kernel_id": "5807343"}, {"ref": "leifuer/exercise-dropout-and-strides-for-larger-models", "kernel_id": "5963369"}, {"ref": "leifuer/exercise-deep-learning-from-scratch", "kernel_id": "5950135"}, {"ref": "neelmishra26/pca-t-sne", "kernel_id": "5765265"}, {"ref": "niefangchao/simple-but-not-bad-model", "kernel_id": "5850781"}, {"ref": "singhgurudeep/kernel6022017c6b", "kernel_id": "5776357"}, {"ref": "vishnupy/kaggle-mnist-digits-ann-cnn", "kernel_id": "5966701"}, {"ref": "alymohamedaly/hello-nn", "kernel_id": "5103736"}, {"ref": "zxcvasdfqwer1234/digit-recognizer", "kernel_id": "5788870"}, {"ref": "therahasya00/kaggle-winning-solutions-github-link", "kernel_id": "5192125"}, {"ref": "elmehdichouki/using-r-and-tensorflow-to-build-cnn", "kernel_id": "5228019"}, {"ref": "elmehdichouki/easiest-cnn-with-99-6-accuracy-using-keras-top-5", "kernel_id": "5255703"}, {"ref": "elmehdichouki/easy-convolutional-neural-network-in-r-for-0-994", "kernel_id": "5244727"}, {"ref": "paragraf22/mnist-cnn", "kernel_id": "5551544"}, {"ref": "junheeshin/digitclassify-mnist-cnn-imagedatagenerator-simple", "kernel_id": "5633011"}, {"ref": "erikhass/digit-recognition-cnn-99-4-accuracy", "kernel_id": "5742147"}, {"ref": "yukikitayama/exercise-dropout-and-strides-for-larger-models-d", "kernel_id": "5710392"}, {"ref": "yukikitayama/recurrent-neural-network-for-digit-recognizer", "kernel_id": "5719998"}, {"ref": "yukikitayama/exercise-deep-learning-from-scratch-daily", "kernel_id": "5693208"}, {"ref": "yukikitayama/transfer-learning-resnet50-for-digit-recognizer", "kernel_id": "5772301"}, {"ref": "yukikitayama/bidirectional-rnn-gru-cells-for-digit-recognizer", "kernel_id": "5756817"}, {"ref": "jagamts1/cifar10-classification", "kernel_id": "5281009"}, {"ref": "layediop/digit-recognizer", "kernel_id": "5859729"}, {"ref": "polunwang/lenet-5-by-keras", "kernel_id": "5882328"}, {"ref": "mani23493/pytorch-submission-ffn-deep-learning", "kernel_id": "5160015"}, {"ref": "mani23493/cnn-pytorch-mnist-classification", "kernel_id": "5157192"}, {"ref": "hilla4/mnist-very-simple-code-97-5", "kernel_id": "5765636"}, {"ref": "venkat47/mnist-feedforward-nn", "kernel_id": "5175751"}, {"ref": "sajaldeb25/kaggle-digit-recognizer-my-best-model-cnn-999", "kernel_id": "5699490"}, {"ref": "chhinna/mnist-attack", "kernel_id": "5805276"}, {"ref": "rohan9889/keras-augmentation-digit-recognition", "kernel_id": "5816781"}, {"ref": "weiwangk/simple-vgg-with-keras-0-99-accuracy", "kernel_id": "5034005"}, {"ref": "coffeeman123/mnist-cnn", "kernel_id": "5271542"}, {"ref": "fatemeh88/exercise-deep-learning-from-scratch", "kernel_id": "5103294"}, {"ref": "lukeswalks/digit-recognizer-decision-tree-and-random-forest", "kernel_id": "5178874"}, {"ref": "hungtp/mnist-cnn", "kernel_id": "5903638"}, {"ref": "seanhwang10/kernel122fe4076d", "kernel_id": "5703676"}, {"ref": "mati90/mnist-keras", "kernel_id": "5576333"}, {"ref": "cuuuurry/comparing-the-effects-batchnormalization", "kernel_id": "5981688"}, {"ref": "cuuuurry/try-to-use-cnn", "kernel_id": "5687132"}, {"ref": "stenivan/digit-recognizer-deep-neural-network-with-keras", "kernel_id": "5370327"}, {"ref": "bustam/cnn-in-keras", "kernel_id": "5786490"}, {"ref": "georgeheinemann/cnist-simple-cnn", "kernel_id": "5525010"}, {"ref": "kfurudate/multi-layer-perceptron-mlp-network", "kernel_id": "5442088"}, {"ref": "kfurudate/multilayer-perceptron-using-tensorflow", "kernel_id": "5458334"}, {"ref": "kfurudate/3layer-perceptron-using-keras", "kernel_id": "5744405"}, {"ref": "seanlewis08/kernel567ea50d65", "kernel_id": "5419908"}, {"ref": "kedar11/simple-cnn-implementation-on-mnist-99-51", "kernel_id": "5155161"}, {"ref": "epdrumond/simple-cnn", "kernel_id": "5425360"}, {"ref": "haridhungel/minst-keras-cnn", "kernel_id": "5009720"}, {"ref": "pr1c3f1eld/using-lenet-and-dropout-regularizing", "kernel_id": "5119055"}, {"ref": "pratikbudruk/conv-2d", "kernel_id": "5472413"}, {"ref": "cedben/uncovering-correlations-in-mnist-with-rfa", "kernel_id": "5699665"}, {"ref": "fightant1w1ll/pytorch-resnet", "kernel_id": "5275345"}, {"ref": "bilokin/simple-sklearn-solution-using-svc", "kernel_id": "5156384"}, {"ref": "mahdishadkamfarrokhi/cnn-using-keras-ffnn-using-tensorflow", "kernel_id": "5362665"}, {"ref": "schateau/hands-on-kaggle-s-mnist-dataset-99-07", "kernel_id": "5841534"}, {"ref": "ashishbarvaliya/mnist-using-simple-cnn-0-99", "kernel_id": "5679255"}, {"ref": "dineshydv/randomforest-with-gridsearch", "kernel_id": "5485448"}, {"ref": "dineshydv/few-steps-with-keras", "kernel_id": "5644657"}, {"ref": "dineshydv/cnn-basic-99-accuracy", "kernel_id": "5844917"}, {"ref": "aqk2k18iitg/digit-recognition-by-using-svm-accuracy-96-02", "kernel_id": "5818814"}, {"ref": "mittalh/mnist", "kernel_id": "5803400"}, {"ref": "sutapadutta/kernel4b24cb86be", "kernel_id": "5875945"}, {"ref": "intelliance/fabia-cnn-keras", "kernel_id": "5844772"}, {"ref": "rameshkamath/mnist-keras-cnn", "kernel_id": "5483052"}, {"ref": "cyannani123/keras-cnn-and-augmentation-for-dr", "kernel_id": "5387371"}, {"ref": "gnaneeswar/e19011-pytorch-mnist-gnanee", "kernel_id": "5159556"}, {"ref": "fyq1999/mnist", "kernel_id": "5612868"}, {"ref": "coledie/fashionvae", "kernel_id": "5461957"}, {"ref": "caglarcankaya/tbdpractice", "kernel_id": "5543024"}, {"ref": "hilel93/mnist-hilel", "kernel_id": "5483745"}, {"ref": "faizu07/mnist", "kernel_id": "5813101"}, {"ref": "kennyinkaggle/mnist-keras-resnetbased", "kernel_id": "5306584"}, {"ref": "wrecked22/digit-recognizer-99-accuracy-using-cnn", "kernel_id": "5253484"}, {"ref": "rahulkumarsavariya/keras-in-cnn", "kernel_id": "5624856"}, {"ref": "vitorgamalemos/recognizing-digits-using-cnn", "kernel_id": "5275560"}, {"ref": "imoisharma/digit-recognizer-using-keras-implementation", "kernel_id": "5012508"}, {"ref": "adwaitbhope/mnist-digit-recognizer-using-cnn", "kernel_id": "5257634"}, {"ref": "lou2432499325/digit-recognizer-with-svm", "kernel_id": "5398865"}, {"ref": "cgchiraggrg/exercise-dropout-and-strides-for-larger-models", "kernel_id": "5233422"}, {"ref": "cgchiraggrg/exercise-deep-learning-from-scratch-try-outs", "kernel_id": "5230825"}, {"ref": "kishanyadav/digit-recognizer", "kernel_id": "5280372"}, {"ref": "abhishekhegde1998/digit-recognizer-v1-0", "kernel_id": "5925581"}, {"ref": "rkailas/digit-recognizer-svm", "kernel_id": "5639258"}, {"ref": "yiguihuang/digit-recognizer", "kernel_id": "5171856"}, {"ref": "tim4ous/cnn-mnist-recognition-with-keras", "kernel_id": "5885014"}, {"ref": "yusuftaha/keras-on-mnist", "kernel_id": "5244254"}, {"ref": "ppicheta/mnist-0-995-in-a-few-lines-of-code", "kernel_id": "5082686"}, {"ref": "manjotpahwa/kernel4fc91b7964", "kernel_id": "5542416"}, {"ref": "xiashu09/cnn-digit-recognizer-pytorch", "kernel_id": "5071076"}, {"ref": "rohit1277/digit-recognizer-using-tensorflow-session", "kernel_id": "5101228"}, {"ref": "prasannathandhul/mnist-ffn-pytorch", "kernel_id": "5156928"}, {"ref": "prasannathandhul/mnist-cnn-pytorch", "kernel_id": "5157294"}, {"ref": "deepnetwork/simple-cnn-for-mnist-dataset", "kernel_id": "5384865"}, {"ref": "moorthysiva/kernel-digitrecognizer1", "kernel_id": "5736519"}, {"ref": "pinderschloss/kernel3a557e133d", "kernel_id": "5766022"}, {"ref": "nandor65/c3c3c5c5c7c7c4", "kernel_id": "5929295"}, {"ref": "divyaph01/digit-recognizer", "kernel_id": "5263479"}, {"ref": "mckay1999/2019-08-15-7-digit", "kernel_id": "5323374"}, {"ref": "hli2020/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "5333721"}, {"ref": "sondregj/digit-recognition", "kernel_id": "5866910"}, {"ref": "chaisameboy/kernel33e2f7efc5", "kernel_id": "5594620"}, {"ref": "scythezzz/kernel7cf9637511", "kernel_id": "5465805"}, {"ref": "wzshubu/kernel1", "kernel_id": "5466285"}, {"ref": "shengzi/logisticreg-batchgd-for-mnist", "kernel_id": "5485492"}, {"ref": "xiejialun/triplet-loss-on-mnist-classification", "kernel_id": "5480969"}, {"ref": "ahmedosman1/gdg-cairo-24-08-2019", "kernel_id": "5490727"}, {"ref": "malavparekh/mnist-digit-recognizer", "kernel_id": "5978631"}, {"ref": "senakorkut/practicetbd", "kernel_id": "5543019"}, {"ref": "alpkarademir/tbd-dgrec", "kernel_id": "5543011"}, {"ref": "berkantaras/tbd-mnist", "kernel_id": "5543640"}, {"ref": "fordreaming1/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "5606695"}, {"ref": "deepakdeepu8978/beginners-guide-to-cnn-with-intro", "kernel_id": "5872671"}, {"ref": "yuriii/kernel25817c534e", "kernel_id": "5734316"}, {"ref": "aimanj/digit-recognition-draft-1", "kernel_id": "5941475"}, {"ref": "avoke17/digit-recognizer", "kernel_id": "5809150"}, {"ref": "idasss/kernel1d03be1826", "kernel_id": "5960976"}, {"ref": "idasss/kernel7b21f4ff75", "kernel_id": "5913313"}, {"ref": "banupriyan/digit01", "kernel_id": "5884569"}, {"ref": "zakariafs2/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "5884082"}, {"ref": "zakariafs2/mnist-with-tf-keras", "kernel_id": "5886892"}, {"ref": "yashwanthm0330/kernel4ea9659d33", "kernel_id": "5894814"}, {"ref": "marcossantanauff/basic-digits-recognizer-with-fastai", "kernel_id": "5997183"}, {"ref": "chayaninchomchuen/eda-low-back-pain-dataset", "kernel_id": "5929882"}, {"ref": "kmader/mnist-graph-deep-learning", "kernel_id": "6848393"}, {"ref": "kmader/disjoint-mnist-graph-deep-learning", "kernel_id": "6892913"}, {"ref": "kmader/disjoint-mnist-graph-with-xy", "kernel_id": "6894807"}, {"ref": "kmader/mnist-graph-nn-with-pooling", "kernel_id": "6851805"}, {"ref": "kmader/simple-graph-nn-overview", "kernel_id": "6923537"}, {"ref": "kmader/deep-disjoint-mnist-fully-connected-graph", "kernel_id": "6907674"}, {"ref": "maximefr/simple-neural-network-for-mnist", "kernel_id": "6184694"}, {"ref": "maximefr/mnist-cnn", "kernel_id": "6915241"}, {"ref": "chriscc/logistic-regression-for-mnist", "kernel_id": "6445502"}, {"ref": "liweicai/resnet-18-data-augmentation-with-torchvision", "kernel_id": "6437968"}, {"ref": "usharengaraju/moa-differential-privacy-using-tfprivacy-tpu", "kernel_id": "6147367"}, {"ref": "cutietechie/model-building-scikit-learn-and-pytorch", "kernel_id": "6732887"}, {"ref": "tunguz/mnist-ridge-regression-baseline", "kernel_id": "6727953"}, {"ref": "tunguz/mnist-mlpclassifier-baseline", "kernel_id": "6728062"}, {"ref": "tunguz/mnist-histgradientboostingclassifier-baseline", "kernel_id": "6932508"}, {"ref": "tunguz/mnist-xgboost-baseline", "kernel_id": "6231717"}, {"ref": "sasamos/mnist-formation", "kernel_id": "6634984"}, {"ref": "datahobbit/mnist-cnn-architecture-from-kannada-mnist", "kernel_id": "6399101"}, {"ref": "anand0427/recognizer-with-cnn-augmentation-and-annealing", "kernel_id": "6166956"}, {"ref": "atlantistin/digit-recognizer", "kernel_id": "6445816"}, {"ref": "prem134/digit-recognizer-using-cnn", "kernel_id": "6394606"}, {"ref": "ee15mtech11021/tuning-parameters-for-neural-network", "kernel_id": "6287713"}, {"ref": "gaurav041/digit-recognizer", "kernel_id": "6448087"}, {"ref": "michaeldc/autoenconder", "kernel_id": "6424098"}, {"ref": "rahulloha/digit-recognizer", "kernel_id": "6841530"}, {"ref": "kheroxelleon/mnist-classificationwithcnnwithtensorflow2", "kernel_id": "6685381"}, {"ref": "eklavyas/mnist", "kernel_id": "6110973"}, {"ref": "diegozurita/digits-recognizer", "kernel_id": "6519898"}, {"ref": "kimtaegwan/lenet-5-using-keras-99-2", "kernel_id": "6425542"}, {"ref": "leegang0911/kernelemnist", "kernel_id": "6773610"}, {"ref": "kdorichev/my-kannada-mnist", "kernel_id": "6457576"}, {"ref": "yeonghyeon/digit-recognizer-based-on-senet", "kernel_id": "6814248"}, {"ref": "ajaysh/mnist-with-mlp-using-keras", "kernel_id": "6164869"}, {"ref": "jatinbalodhi/digit-prediction-using-keras", "kernel_id": "6865188"}, {"ref": "sanjitschouhan/digit-recognition-using-cnn-tensorflow-2-0", "kernel_id": "6018724"}, {"ref": "ar90ngas/mnist-pytorch-derived", "kernel_id": "6810539"}, {"ref": "vladimirn/mnist-classification-issue", "kernel_id": "6082169"}, {"ref": "vladimirn/mnist-classification-issue-with-cnn", "kernel_id": "6099107"}, {"ref": "whizzkid/autoencoders", "kernel_id": "6274898"}, {"ref": "whizzkid/aditya-singh", "kernel_id": "6705294"}, {"ref": "pratik2901/pytorch-cnn-digit-recognizer", "kernel_id": "6827272"}, {"ref": "geemunz/simple-cnn-implementation-using-tensorflow", "kernel_id": "6618570"}, {"ref": "wordroid/rbfclassifier-moon-data-example", "kernel_id": "6162237"}, {"ref": "yufengg/kaggledays-china-novice-comp1", "kernel_id": "6296537"}, {"ref": "pawankjha25/mnist-dataset-digit-recognizer", "kernel_id": "6050177"}, {"ref": "user5566/mnist-cnn", "kernel_id": "6057111"}, {"ref": "sandhaya4u/exercise-deep-learning-from-scratch", "kernel_id": "6286084"}, {"ref": "sandhaya4u/exercise-dropout-and-strides-for-larger-models", "kernel_id": "6286678"}, {"ref": "srahuliitb/rsk-imageclassifier", "kernel_id": "6215916"}, {"ref": "kkaruna/digit-recognizer", "kernel_id": "6309728"}, {"ref": "immortalmind/mnist-with-lenet-give-high-accuracy-using-keras", "kernel_id": "6509290"}, {"ref": "jirifilip/neural-networks-implemented-from-scratch", "kernel_id": "6342176"}, {"ref": "lemonov/digits", "kernel_id": "6385780"}, {"ref": "imdevskp/digits-mnist-classification-using-cnn", "kernel_id": "6397808"}, {"ref": "eddididi/residual-attention-networks-on-mnist", "kernel_id": "6695287"}, {"ref": "itsikmantin/ai-deception-ex1", "kernel_id": "6767417"}, {"ref": "mrugeles/digit-recognizer", "kernel_id": "6294573"}, {"ref": "monset/mnistrecognition", "kernel_id": "6780387"}, {"ref": "jiangyl/mnist", "kernel_id": "6592264"}, {"ref": "prajwalnkb/randomforestclassifer-digit-rec", "kernel_id": "6972358"}, {"ref": "fatmakursun/digit-recognizer-cnn-image-detection", "kernel_id": "6958423"}, {"ref": "hocop1/but-what-is-neuron", "kernel_id": "6618750"}, {"ref": "hocop1/transfer-learning-sample", "kernel_id": "6683166"}, {"ref": "indrajitkumar/kernel45a9f43a79", "kernel_id": "6105991"}, {"ref": "fab711/mnist-classification-using-cnn", "kernel_id": "6077020"}, {"ref": "rdenadai/mnist", "kernel_id": "6402396"}, {"ref": "gopalsingh5/mnist-with-random-forrest", "kernel_id": "6552568"}, {"ref": "shaliniyaramada/svm-vs-keras", "kernel_id": "6224388"}, {"ref": "sanwal092/fastai-and-mnist-top-10", "kernel_id": "6485130"}, {"ref": "khoongweihao/auto-keras-mnist", "kernel_id": "6744971"}, {"ref": "adnanzaidi/introduction-toc-nn-keras-0-997-top-6", "kernel_id": "6167093"}, {"ref": "dundappakamate/kernel22ce17a19b", "kernel_id": "6859138"}, {"ref": "ak1352/93-accuracy-in-18-lines-of-code-for-beginners", "kernel_id": "6751374"}, {"ref": "amneves/top-5-with-keras-auto-hypertuning", "kernel_id": "6583149"}, {"ref": "ivarmaeland/digit-recognizer-pytorch", "kernel_id": "6938607"}, {"ref": "maxboels/mnist", "kernel_id": "6127800"}, {"ref": "kabilan45/mnistpytorch", "kernel_id": "6806365"}, {"ref": "mithlesh14/mnist-image-processing", "kernel_id": "6226483"}, {"ref": "ahernandez1/mnist-solution-exploration", "kernel_id": "6925490"}, {"ref": "ratinkumar/rnn-mnist1", "kernel_id": "6634150"}, {"ref": "kaitmlee/beginner-cnn-in-pytorch", "kernel_id": "6589612"}, {"ref": "prashant111/mnist-deep-neural-network-with-keras", "kernel_id": "6512878"}, {"ref": "prashant111/comprehensive-guide-to-cnn-with-keras", "kernel_id": "6433416"}, {"ref": "prashant111/comprehensive-guide-to-ann-with-keras", "kernel_id": "6291080"}, {"ref": "guidosalimbeni/handwritten-digits-classification", "kernel_id": "6851433"}, {"ref": "manish25297/digit-recog", "kernel_id": "6342250"}, {"ref": "abhiswain/pytorch-mnist-using-pretrained-resnet50", "kernel_id": "6816244"}, {"ref": "mikechentf/digit-recognition", "kernel_id": "6363238"}, {"ref": "manas0991/basic-deep-learning-with-keras", "kernel_id": "6022931"}, {"ref": "frankyroeder/pytorch-cnn", "kernel_id": "6011015"}, {"ref": "rajjai3/mnist-digitrecognizer-cnn-99-accuracy", "kernel_id": "6023064"}, {"ref": "samrat77/digit-recognition-mnist", "kernel_id": "6945324"}, {"ref": "samrat77/digit-recognition-using-cnn-with-keras-0-9942", "kernel_id": "6956162"}, {"ref": "christianwallenwein/beginners-guide-to-mnist-with-pytorch", "kernel_id": "6563906"}, {"ref": "sarthak3398/cnn-mnnist", "kernel_id": "6596891"}, {"ref": "pseroul/cnn-on-mnist", "kernel_id": "6507217"}, {"ref": "jakelj/mnist-digits-novice-to-master", "kernel_id": "6487634"}, {"ref": "praveeny20/briefly-explained-mnist-problem-with-pytorch", "kernel_id": "6861199"}, {"ref": "ashmani999/dimensionality-reduction-using-pca-and-t-sne", "kernel_id": "6199217"}, {"ref": "jumpingdino/licao-reconhecimento-de-d-gitos-mnist", "kernel_id": "6632734"}, {"ref": "iamsiddhant/digit-recogniser-using-python-99-2", "kernel_id": "6293082"}, {"ref": "jsvishnuj/image-classification-using-cnn-for-beginners", "kernel_id": "6065217"}, {"ref": "brudi16/mnist-cnn", "kernel_id": "6134540"}, {"ref": "rraheja/kernel24f201f660", "kernel_id": "6577577"}, {"ref": "asilkanv/mnist-digit-recognizer-cnn-with-gpu", "kernel_id": "6228435"}, {"ref": "dilsher1995/digit-recognition", "kernel_id": "6382068"}, {"ref": "c7934597/getting-started-with-mnist", "kernel_id": "6552233"}, {"ref": "didarul/hello-world", "kernel_id": "6419278"}, {"ref": "bgmello/how-top-lb-got-their-score-use-mnist-to-learn", "kernel_id": "6529290"}, {"ref": "fmscole/pure-python-with-numpy-from-scratch-for-mnist", "kernel_id": "6009051"}, {"ref": "jackluu/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "6039840"}, {"ref": "mmraza/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "6188808"}, {"ref": "bgr2089/digitrecognizer", "kernel_id": "6708304"}, {"ref": "super233/digit-recognizer-based-on-lenet5", "kernel_id": "6863803"}, {"ref": "srinivasav22/digit-using-cnn-keras-0-997-top-6", "kernel_id": "6497717"}, {"ref": "miorgash/deeplearning", "kernel_id": "6951742"}, {"ref": "glien10/digit-recognizer-cnn-with-99-26-accuracy", "kernel_id": "6809527"}, {"ref": "adarshbiradar/mnist-cnn", "kernel_id": "6303082"}, {"ref": "jimimao/minist-recognizer", "kernel_id": "6930836"}, {"ref": "fbt97119/degit-recognize", "kernel_id": "6072882"}, {"ref": "bikash91/digit-recog-mnist", "kernel_id": "6693446"}, {"ref": "artstein/tensorflow-keras-cnn-data-augmentation-99-6", "kernel_id": "6259920"}, {"ref": "akhileshrai/tutorial-early-stopping-vanilla-rnn-pytorch", "kernel_id": "6073376"}, {"ref": "subinium/interpretable-cnn-with-shap-mnist", "kernel_id": "6689030"}, {"ref": "firzgz/exercise-deep-learning-from-scratch", "kernel_id": "6341310"}, {"ref": "firzgz/exercise-dropout-and-strides-for-larger-models", "kernel_id": "6342105"}, {"ref": "shankarnara/digit-recognition-attempt-1", "kernel_id": "6317801"}, {"ref": "jaydeep991/kernel6b09b7c872", "kernel_id": "6198450"}, {"ref": "adldotori/digit-recognizer-starter", "kernel_id": "6223683"}, {"ref": "manoj1998/mark1-mnist", "kernel_id": "6121068"}, {"ref": "louisalexisnomura/mnist", "kernel_id": "6852802"}, {"ref": "alekseykobylin/pytorch-cnn-mnist-0-99428", "kernel_id": "6974039"}, {"ref": "rachanabisht/mnist-data-fst-nn", "kernel_id": "6072851"}, {"ref": "hatemalamir/digit-recognizer-lenet-5-cnn", "kernel_id": "6083562"}, {"ref": "francescomandru/mnist-pytorch", "kernel_id": "6636089"}, {"ref": "jbaprouse/mnist-deep-learning", "kernel_id": "6355273"}, {"ref": "toldo171/digit-recognition-from-scratch", "kernel_id": "6025206"}, {"ref": "manimannu/accuracy-saved-by-learning-rate", "kernel_id": "6393530"}, {"ref": "ayoubabozer/explained-cnn-solution-for-mnist", "kernel_id": "6489743"}, {"ref": "vipul97/handwritten-digit-recognition-using-knn", "kernel_id": "6546688"}, {"ref": "oguzhansahin/digit-recognizer-by-using-cnn", "kernel_id": "6950261"}, {"ref": "karthiknc/digit-recogniser-pca", "kernel_id": "6972314"}, {"ref": "yushg123/base-pipeline-for-mnist-98-8-accuracy", "kernel_id": "6089931"}, {"ref": "shamaunalam/digit-2ndver", "kernel_id": "6017108"}, {"ref": "sumitai/digit-recognizer-using-cnn-keras-0-99", "kernel_id": "6921964"}, {"ref": "georgezakharov/mnist-digit-recognition-on-keras", "kernel_id": "6139949"}, {"ref": "dannydoeslight/digit-predict-trying-some-new-libs", "kernel_id": "6699674"}, {"ref": "starktony45/mnist-digit-recognizer", "kernel_id": "6078806"}, {"ref": "mohammadamini89/mnist-cnn-keras-99-5", "kernel_id": "6412267"}, {"ref": "ch1170258/hello-world-of-computer-vision", "kernel_id": "6184071"}, {"ref": "arunrk7/digit-recognition-using-cnn-99-accuracy", "kernel_id": "6392965"}, {"ref": "tannerdolby/digit-classifier", "kernel_id": "6391818"}, {"ref": "billynguyen/tf2-beginner-with-original-mnist", "kernel_id": "6762101"}, {"ref": "zw2492/digit-recognizer", "kernel_id": "6699630"}, {"ref": "nigam84/kernel1df20fc52f", "kernel_id": "6246720"}, {"ref": "hydraze/digits-recogniser", "kernel_id": "6316090"}, {"ref": "seraphwedd18/conv-net-mnist", "kernel_id": "6346736"}, {"ref": "lipunova/digit-recognizer-keras", "kernel_id": "6973661"}, {"ref": "ajersovs/mnist-dnn-with-numpy-estimators", "kernel_id": "6068585"}, {"ref": "ahmed4fee/deep-learning-network-for-digital-recognition", "kernel_id": "6976942"}, {"ref": "iamsaksham/digit-recognizer-mnist", "kernel_id": "6526412"}, {"ref": "mcrapet/digit-recognizer-very-simple-cnn", "kernel_id": "6320507"}, {"ref": "riwat7/keras-from-easy-to-advanced", "kernel_id": "6931400"}, {"ref": "dingding123/kaggledays-china-novice-comp1", "kernel_id": "6298731"}, {"ref": "gianlab/principal-component-and-random-forest", "kernel_id": "6009233"}, {"ref": "elgendy5576/kernel7965f0bc5d", "kernel_id": "6637622"}, {"ref": "elgendy5576/classification-using-neural-and-cnn", "kernel_id": "6635265"}, {"ref": "schorsi/exercise-deep-learning-from-scratch", "kernel_id": "6098530"}, {"ref": "proxyy/digit", "kernel_id": "6030464"}, {"ref": "daniilpastukhov/pytorch-cnn", "kernel_id": "6633513"}, {"ref": "rishabhx3/digit-recognizer", "kernel_id": "6287245"}, {"ref": "illuminator/basic-mnist-pytorch", "kernel_id": "6752270"}, {"ref": "sgteja/sgteja-minist", "kernel_id": "6550123"}, {"ref": "vandan20/kernel4f71977d79", "kernel_id": "6797426"}, {"ref": "faressayah/fashion-mnist-classification-using-cnns", "kernel_id": "6811764"}, {"ref": "vikassingh1996/tensorflow-2-0-create-and-train-ann-cnn", "kernel_id": "6240204"}, {"ref": "mmmarchetti/digit-recognizer-model", "kernel_id": "6531629"}, {"ref": "ameerhamza1474/digit-recog", "kernel_id": "6449515"}, {"ref": "mehdislim01/very-simple-cnn-model-for-beginners-99", "kernel_id": "6626321"}, {"ref": "chandanshinde/digit-recognizer-keras", "kernel_id": "6040079"}, {"ref": "ezzaldin6/simple-digit-recognizer", "kernel_id": "6751582"}, {"ref": "anjana22/handwritten-digits-recognition", "kernel_id": "6647552"}, {"ref": "masinga/exercise-deep-learning-from-scratch", "kernel_id": "6786562"}, {"ref": "masinga/exercise-dropout-and-strides-for-larger-models", "kernel_id": "6786623"}, {"ref": "mohamed22369/kernel3b4319bf75", "kernel_id": "6932227"}, {"ref": "yahengwu/digit-recognizer", "kernel_id": "6640072"}, {"ref": "khaledmgamal/mnist-tenorflow", "kernel_id": "6478894"}, {"ref": "khaledmgamal/mnist-keras", "kernel_id": "6478865"}, {"ref": "pengzhansun/digit-recognizer-based-on-pytorch", "kernel_id": "6675153"}, {"ref": "gdstoica/mnist-knn", "kernel_id": "6634762"}, {"ref": "raajparekh/mnist-digit-recognizer-using-cnn", "kernel_id": "6239989"}, {"ref": "maisonhai3/a-try-to-lenet", "kernel_id": "6401246"}, {"ref": "maisonhai3/ap-dung-thu", "kernel_id": "6384299"}, {"ref": "atika19/cnn-digit-recognition", "kernel_id": "6024595"}, {"ref": "dmikar/digits-k-neighbors-classifier-with-pca", "kernel_id": "6200028"}, {"ref": "amal19/digit-recognizer", "kernel_id": "6897459"}, {"ref": "sahukishan/digit-recognizer", "kernel_id": "6594796"}, {"ref": "abigcleverdog/digit-recognizer-starter", "kernel_id": "6548894"}, {"ref": "indyogi/digit-recognition", "kernel_id": "6016750"}, {"ref": "umang5916/cnn-digit-reconizer-accuracy-0-9990", "kernel_id": "6950584"}, {"ref": "umang5916/ann-digit-reconizer", "kernel_id": "6873068"}, {"ref": "kajolg/digit-recognizer", "kernel_id": "6127049"}, {"ref": "okiane/digit-recognizer", "kernel_id": "6280333"}, {"ref": "praveen101997/digit-recognizer", "kernel_id": "6653282"}, {"ref": "somykamble/nnet-in-r", "kernel_id": "6361492"}, {"ref": "somykamble/somykamble-h2o-digit-recogniser", "kernel_id": "6294352"}, {"ref": "shengzi/resnet50-in-pure-tf-1-x-api-for-mnist", "kernel_id": "6677869"}, {"ref": "robotwizard/looking-at-the-2-wrongly-classified-digits", "kernel_id": "6062080"}, {"ref": "kantapong/mnist-cnn-kantapong-62199130227", "kernel_id": "6724621"}, {"ref": "williamhuybui/easy-introduction-to-cnn-with-pytorch", "kernel_id": "6559578"}, {"ref": "ceocampo/digit-recognition-using-the-mnist-dataset", "kernel_id": "6887223"}, {"ref": "panida1995/digit-recognizer-mnist-homework", "kernel_id": "6750246"}, {"ref": "starattack/fc-model", "kernel_id": "6411597"}, {"ref": "starattack/cnn-model", "kernel_id": "6427638"}, {"ref": "alexcawley97/convolutional-neural-network-cnn-tutorial", "kernel_id": "6039618"}, {"ref": "greentearus/exercise-dropout-and-strides-for-larger-models", "kernel_id": "6680317"}, {"ref": "greentearus/exercise-deep-learning-from-scratch", "kernel_id": "6673956"}, {"ref": "samoondehghan/digit-recognition", "kernel_id": "6528790"}, {"ref": "stopmosk/mnist-lenet-relu", "kernel_id": "6343116"}, {"ref": "stopmosk/mnist-fnn-1-test", "kernel_id": "6339546"}, {"ref": "c0unt0fm0nt3/mnist-data-example", "kernel_id": "6266217"}, {"ref": "sma1le1/digit", "kernel_id": "6891473"}, {"ref": "shreyapawaskar/kernel5cda1f9c38", "kernel_id": "6106454"}, {"ref": "hatorix/mnist-4-099271", "kernel_id": "6066161"}, {"ref": "sarachilson/keras-cnn-resnet", "kernel_id": "6808382"}, {"ref": "aalier/the-simplest-digit-recognizer", "kernel_id": "6026698"}, {"ref": "gsingh20/digit-recognizer-tensorflow-beginner-friendly", "kernel_id": "6922072"}, {"ref": "vidheeshnacode/digit-recognition-using-cnn-keras", "kernel_id": "6432685"}, {"ref": "finnbao/digit-recognizer-knn", "kernel_id": "6127367"}, {"ref": "littlepinhorse/mnist-cnn", "kernel_id": "6057678"}, {"ref": "willy880124/mnist-cnn", "kernel_id": "6056785"}, {"ref": "willy880124/mnist-cnn-813424", "kernel_id": "6067537"}, {"ref": "m10626/mnist-cnn", "kernel_id": "6056857"}, {"ref": "wei0328/mnist-cnn", "kernel_id": "6056926"}, {"ref": "j00653044/mnist-cnn", "kernel_id": "6056775"}, {"ref": "allomyfriend/mnist-cnn-127395", "kernel_id": "6056906"}, {"ref": "allomyfriend/mnist-cnn", "kernel_id": "6056814"}, {"ref": "c00653026/mnist-cnn", "kernel_id": "6056782"}, {"ref": "webby123/mnist-cnn", "kernel_id": "6056792"}, {"ref": "a25900293/mnist-cnn", "kernel_id": "6057177"}, {"ref": "harry0709/mnist-cnn", "kernel_id": "6056880"}, {"ref": "benny20169677/mnist-cnn", "kernel_id": "6056885"}, {"ref": "diorzhang/mnist-cnn", "kernel_id": "6056750"}, {"ref": "amigosmomo/digit-recognizer-using-keras", "kernel_id": "6693356"}, {"ref": "snatarajan6/digit-recognizer-pca", "kernel_id": "6410956"}, {"ref": "chaandh/digitrecognizer", "kernel_id": "6808005"}, {"ref": "niteshksingh/99-2-explained-simple-cnn-model", "kernel_id": "6288183"}, {"ref": "zanin259/cnn-for-reading-digits", "kernel_id": "6478977"}, {"ref": "yixinchen1/kernel-mnist", "kernel_id": "6075615"}, {"ref": "hank210126/mnist-cnn", "kernel_id": "6056802"}, {"ref": "a4ba8657/mnist-cnn", "kernel_id": "6056831"}, {"ref": "eeeennn/mnist-cnn", "kernel_id": "6056774"}, {"ref": "blue1029910/mnist-cnn", "kernel_id": "6056827"}, {"ref": "ken6061622/mnist-cnn", "kernel_id": "6057236"}, {"ref": "fish1999731/mnist-cnn", "kernel_id": "6056940"}, {"ref": "zegas0/mnist-cnn", "kernel_id": "6057105"}, {"ref": "softai/mnist-digits-task-a-modern-approach", "kernel_id": "6945507"}, {"ref": "samidaretw/mnist-cnn", "kernel_id": "6057140"}, {"ref": "kafuuchinochan/mnist-cnn", "kernel_id": "6057262"}, {"ref": "andyme1014/mnist-cnn", "kernel_id": "6057451"}, {"ref": "hankzhaung/mnist-cnn", "kernel_id": "6057781"}, {"ref": "ji3g4zo6/mnist-cnn-68ce56", "kernel_id": "6058726"}, {"ref": "jeffiscool/mnist-cnn", "kernel_id": "6058269"}, {"ref": "linuscago/mnist-cnn", "kernel_id": "6059550"}, {"ref": "feng28225970/mnist-cnn-e792f6", "kernel_id": "6059016"}, {"ref": "elison1026/mnist-cnn", "kernel_id": "6058979"}, {"ref": "oscaryen/mnist-cnn", "kernel_id": "6059503"}, {"ref": "oscaryen/mnist-cnn-5f1fa5", "kernel_id": "6060257"}, {"ref": "yenni1258/mnist-cnn-68ce56", "kernel_id": "6060162"}, {"ref": "jainsanket/kernel4f2401ff22", "kernel_id": "6109182"}, {"ref": "wesselmartens/cnn-for-digit-recognizer-99-4", "kernel_id": "6558933"}, {"ref": "tiger729/mnist-cnn", "kernel_id": "6066385"}, {"ref": "doms2a/simple-pytorch-cnn-solution", "kernel_id": "6521313"}, {"ref": "piesposito/bayesian-nerual-networks-with-tensorflow-2-0", "kernel_id": "6134976"}, {"ref": "androbomb/mnist-ale-decisiontree", "kernel_id": "6866616"}, {"ref": "androbomb/mnist-ale-cnn", "kernel_id": "6890059"}, {"ref": "utsavdm/t-sne-visualization-mnist-dataset", "kernel_id": "6958789"}, {"ref": "utsavdm/pca-visualization-mnist-dataset", "kernel_id": "6955121"}, {"ref": "startchasing/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "6176118"}, {"ref": "pandamia92/digit-recognizer", "kernel_id": "6342445"}, {"ref": "tanmoy7/using-simple-random-forest", "kernel_id": "6632056"}, {"ref": "alexkct/mnist-fast-ai-alexkct", "kernel_id": "6789424"}, {"ref": "lilydong/kannada-mnist-lilydong", "kernel_id": "6298764"}, {"ref": "hanwenzhu/mnist-convolutional-0-99-train-test", "kernel_id": "6889038"}, {"ref": "mastdove/lab66", "kernel_id": "6697725"}, {"ref": "johannesosv/jonje-mnist", "kernel_id": "6372448"}, {"ref": "kushalsharma123/mnist-digit-recognizer", "kernel_id": "6570394"}, {"ref": "gkhungenel/g-khun-digit-recognizer-competition", "kernel_id": "6568533"}, {"ref": "pranitbankar/keras-conv2d-digitrec", "kernel_id": "6479529"}, {"ref": "fredmarlton/digit-recognizer-keras", "kernel_id": "6452147"}, {"ref": "p208p2002/keras-mnist-cnn-from-laura-3", "kernel_id": "6692583"}, {"ref": "raniphore/digit-recognition-using-keras", "kernel_id": "6500737"}, {"ref": "leticiapeixoto/digit-recognizer-v1", "kernel_id": "6909881"}, {"ref": "eduardooo/digit-recognizer", "kernel_id": "6721018"}, {"ref": "nitzanshulman/pytorch-cnn-digit-recognizer", "kernel_id": "6767054"}, {"ref": "nitzanshulman/fastai-digit-recognizer", "kernel_id": "6673575"}, {"ref": "gurleenkaur1109/mnist-classificationwithcnn", "kernel_id": "6677637"}, {"ref": "michanowak/numbers", "kernel_id": "6838245"}, {"ref": "kw123123/kernel47594d04aa", "kernel_id": "6958895"}, {"ref": "deviaiml/digit-recognizer-cnn", "kernel_id": "6828004"}, {"ref": "deviaiml/digit-recognizer-mlp", "kernel_id": "6724964"}, {"ref": "yunseo47/mnist-12-layer-cnn-classification", "kernel_id": "6732418"}, {"ref": "arielamittai/my-perceptron", "kernel_id": "6795997"}, {"ref": "stanislavmatkov/mnist-keras", "kernel_id": "6826919"}, {"ref": "sasidharturaga/basic-cnn-without-data-augmentation", "kernel_id": "6919531"}, {"ref": "domoldo/digit-recognizer-basic", "kernel_id": "7970803"}, {"ref": "tambal/digit-recognition-on-minst-nn-data-augmentation", "kernel_id": "7534567"}, {"ref": "ravzillaa/simple-mnist-numpy-from-scratch", "kernel_id": "7568099"}, {"ref": "roymurphy99/neural-network-using-keras-in-r", "kernel_id": "7393214"}, {"ref": "roymurphy99/tuning-epoch-and-batch-size-of-neural-net", "kernel_id": "7801754"}, {"ref": "ibraheemmoosa/kannada-mnist-fully-conv-with-dropout", "kernel_id": "7062637"}, {"ref": "paulopcpl/digit-recognizer-keras-project", "kernel_id": "7733274"}, {"ref": "sukumarburra/digit-recognizer-using-cnn", "kernel_id": "7275588"}, {"ref": "pikkupr/exploring-mnist-using-recurrent-neural-network", "kernel_id": "7338862"}, {"ref": "tunguz/mnist-2d-umap-with-rapids", "kernel_id": "7865949"}, {"ref": "tunguz/rapids-logistic-regression-with-t-sne-and-umap", "kernel_id": "7877517"}, {"ref": "tunguz/mnist-2d-t-sne-with-rapids", "kernel_id": "7851511"}, {"ref": "tunguz/mnist-2d-t-sne", "kernel_id": "7849937"}, {"ref": "tunguz/mnist-2d-umap", "kernel_id": "7865853"}, {"ref": "tunguz/mnist-extratreesclassifier-baseline", "kernel_id": "7592056"}, {"ref": "tunguz/mnist-randomforestclassifier-baseline", "kernel_id": "7592075"}, {"ref": "tunguz/mnist-decisiontreeclassifier-baseline", "kernel_id": "7591992"}, {"ref": "tunguz/mnist-kneighborsclassifier-baseline", "kernel_id": "7244224"}, {"ref": "tunguz/mnist-nusvc-baseline", "kernel_id": "7258910"}, {"ref": "tunguz/mnist-linear-svc-baseline", "kernel_id": "7258935"}, {"ref": "tunguz/mnist-svc-baseline", "kernel_id": "7258943"}, {"ref": "adhok93/mlr-xgboost-0-97137", "kernel_id": "7656567"}, {"ref": "sv1ple/mnist-digits-algorithms-comparison-notebook", "kernel_id": "7997238"}, {"ref": "edguiu/kernel294d1f5a62", "kernel_id": "7934953"}, {"ref": "subham07/digit-recognizer-using-rfc", "kernel_id": "7320540"}, {"ref": "gadaadhaarigeek/visualize-dim-reduction-using-plotly", "kernel_id": "7306906"}, {"ref": "gadaadhaarigeek/digit-recognizer-ann-cnn-and-data-augmentation", "kernel_id": "7303076"}, {"ref": "anjanatiha/mnist-classification", "kernel_id": "7903646"}, {"ref": "jagannathrk/digit-recognizer", "kernel_id": "7405218"}, {"ref": "wernerechezuria/digit-recognizer", "kernel_id": "7390641"}, {"ref": "christianhritter/shap-keras", "kernel_id": "7002180"}, {"ref": "yclaudel/mnist-data-augmentation", "kernel_id": "7753580"}, {"ref": "emstrakhov/mnist-dense-vs-lenet", "kernel_id": "7773117"}, {"ref": "kdorichev/digit-recognizer-kaggle-competition-with-fastai-v1", "kernel_id": "7195594"}, {"ref": "hyang1985/kernel655ac05010", "kernel_id": "7503371"}, {"ref": "hyang1985/deeplearning", "kernel_id": "7586951"}, {"ref": "sebastiandro/mnist-digit-recognizer", "kernel_id": "7318001"}, {"ref": "ar90ngas/kkt-example", "kernel_id": "7475507"}, {"ref": "grapestone5321/digit-recognizer-sample-submission", "kernel_id": "7047604"}, {"ref": "mayurgpt07/digit-recognizer-using-keras", "kernel_id": "7765919"}, {"ref": "krazygaurav93/digit-recognizer", "kernel_id": "7286659"}, {"ref": "trungha/pytorch-improved-lenet5-augmentation-ensemble", "kernel_id": "7287517"}, {"ref": "trungha/improved-lenet5-augmentation-ensemble-0-997", "kernel_id": "7500544"}, {"ref": "pdx250697/keras-cnn-model", "kernel_id": "7415193"}, {"ref": "hachemsfar/mnist", "kernel_id": "7802638"}, {"ref": "bmk007/digit-recognizer", "kernel_id": "7141392"}, {"ref": "rkuo2000/mnist-vae", "kernel_id": "7580493"}, {"ref": "ateplyuk/tpu-tensor-processing-unit-mnist-starter-keras", "kernel_id": "7968728"}, {"ref": "ateplyuk/pytorch-mnist-easy-starter", "kernel_id": "7717174"}, {"ref": "ateplyuk/pytorch-mnist-easy-starter-2-cnn", "kernel_id": "7727307"}, {"ref": "smhrcn/dl-with-python-francois-chollet-nn-mnist", "kernel_id": "7203339"}, {"ref": "shubham1992/mnist-using-tensorflow", "kernel_id": "7733855"}, {"ref": "shivamanhar/tensorflow-start", "kernel_id": "7255521"}, {"ref": "tugrulguner/mnistclassifier", "kernel_id": "7904899"}, {"ref": "godric160/spatial-transformer-network-with-pytorch", "kernel_id": "7366377"}, {"ref": "odyssey33/digit-recognizer-neural-networks", "kernel_id": "7379298"}, {"ref": "chekoduadarsh/starters-guide-convolutional-xgboost", "kernel_id": "7206401"}, {"ref": "econdata/exercise-dropout-and-strides-for-larger-models", "kernel_id": "7467621"}, {"ref": "doctorde/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "7040666"}, {"ref": "abbbhishekkk/simple-approach-for-mnist-digit-recognizer", "kernel_id": "7682693"}, {"ref": "kokecacao/generating-meiling-han-s-words-from-heaven", "kernel_id": "7348787"}, {"ref": "svaibhavsingh/kernel-for-mnist-data-set", "kernel_id": "7239175"}, {"ref": "leihao1313/digit-recognizer", "kernel_id": "7026788"}, {"ref": "leihao1313/exercise-deep-learning-from-scratch", "kernel_id": "7046408"}, {"ref": "cedricb/mnist-cnn-grid-search-data-augmentation", "kernel_id": "7320821"}, {"ref": "sachingg/digit-recognizer-using-keras-convolution", "kernel_id": "7796522"}, {"ref": "mcoplan/digit-recognizer-notebook", "kernel_id": "7904381"}, {"ref": "cdeotte/rapids-gpu-knn-mnist-0-97", "kernel_id": "7689561"}, {"ref": "cdeotte/rapids-data-augmentation-mnist-0-985", "kernel_id": "7735691"}, {"ref": "khoongweihao/auto-pytorch-mnist", "kernel_id": "7080100"}, {"ref": "marketneutral/mnist-99-57-human-in-the-loop-fastai-pytorch", "kernel_id": "7034662"}, {"ref": "usamahjundia/hidden-inside-a-randomly-initialized-nn-is", "kernel_id": "7024872"}, {"ref": "harishvutukuri/mnist-tf-2-0", "kernel_id": "7987790"}, {"ref": "dileep3549/digitrecogniser", "kernel_id": "7795251"}, {"ref": "amarlove/kernel22d2059d52", "kernel_id": "7373614"}, {"ref": "amarlove/data-recognizer-100-score", "kernel_id": "7927835"}, {"ref": "joshi1289/mnist-by-nn-via-pytorch", "kernel_id": "7658592"}, {"ref": "vashistnarayansingh/digit-recognizer", "kernel_id": "7978817"}, {"ref": "dglindner2/mnist-practice", "kernel_id": "7363818"}, {"ref": "jaffarjawed/cnn-for-digit-recognizer", "kernel_id": "7809624"}, {"ref": "hirotaka0122/triplet-loss-with-pytorch", "kernel_id": "7467910"}, {"ref": "jadenqee/kernel4c6d92ad30", "kernel_id": "7415208"}, {"ref": "hashtagkehl/simple-neural-network-mnist", "kernel_id": "7261039"}, {"ref": "gundamb2/my-attempt-at-mnist", "kernel_id": "7366854"}, {"ref": "akhil1729/ak-mnist", "kernel_id": "7718581"}, {"ref": "elikapati/exercise-dropout-and-strides-for-larger-models", "kernel_id": "7095114"}, {"ref": "elikapati/exercise-deep-learning-from-scratch", "kernel_id": "7093907"}, {"ref": "pranaysingh25/dimensionality-reduction-visualization-mnist", "kernel_id": "7661805"}, {"ref": "pouya71/digit-recognizer", "kernel_id": "7008969"}, {"ref": "jcardenzana/mnist-pytorch-convolutional-neural-nets", "kernel_id": "7482102"}, {"ref": "aspinc/convolutional-neural-network-cnn-tutorial", "kernel_id": "7430536"}, {"ref": "parikshitag/kernel2ac58fd11e", "kernel_id": "7765720"}, {"ref": "ssaketh97/number-prediction", "kernel_id": "7324632"}, {"ref": "clairence/random-forest-classification-with-pca", "kernel_id": "7902571"}, {"ref": "an5human/neural-network-using-keras-upto-98-acc", "kernel_id": "7793750"}, {"ref": "hidetaketakahashi/mnist-spectrum-analysis-by-pca-svm", "kernel_id": "7805659"}, {"ref": "volodymyrgavrysh/pytorch-simple-custom-class", "kernel_id": "7643108"}, {"ref": "sauravmishra1710/digit-recognizer", "kernel_id": "7965743"}, {"ref": "taivokasper/mnist-digit-recognition-competition", "kernel_id": "7385588"}, {"ref": "nazrinjariya/exercise-dropout-and-strides-for-larger-models", "kernel_id": "7601200"}, {"ref": "mojtylor/digit-recognizer-for-beginners", "kernel_id": "7974440"}, {"ref": "shakeebbk/digit-recognizer", "kernel_id": "7481381"}, {"ref": "abc95007/mnist", "kernel_id": "7310245"}, {"ref": "ayahramahi/cnn-mnist", "kernel_id": "7830980"}, {"ref": "sawrupesh04/kernel64d8bbbb55", "kernel_id": "7967064"}, {"ref": "ftamur/digit-recognizer", "kernel_id": "7756085"}, {"ref": "eiffelwong1/pushing-the-limit-with-data-augmentation", "kernel_id": "7567606"}, {"ref": "eiffelwong1/brutally-simple-cnn-with-keras-explained-98", "kernel_id": "7426562"}, {"ref": "parikshitbangde/mnist-data1", "kernel_id": "7014545"}, {"ref": "ahmedsmara/digits-recognition-using-conv-neural-network", "kernel_id": "7297375"}, {"ref": "ramsukh/digit-recognition-with-cnn", "kernel_id": "7253469"}, {"ref": "marcelotsj/digit-recognizer-pytorch", "kernel_id": "7510327"}, {"ref": "ahmetarifsarioglu/convolutional-neural-network-cnn", "kernel_id": "7732528"}, {"ref": "pramod265/digit-recogniser-random-forrest-model", "kernel_id": "7840268"}, {"ref": "sanyamdhawan99/mnist-notebook", "kernel_id": "7526598"}, {"ref": "matelds/mnist-basic-mlp", "kernel_id": "7390462"}, {"ref": "matelds/mnist-basic-cnn", "kernel_id": "7413844"}, {"ref": "baudouindet/ml-club-nn-digit-recognizer", "kernel_id": "7594532"}, {"ref": "weslleysilva/digit-recognizer-competition", "kernel_id": "7720145"}, {"ref": "gauravsb/digit-recognition-cnn", "kernel_id": "7159464"}, {"ref": "gauravsb/2-digit-recognition-mnist-nn", "kernel_id": "7014592"}, {"ref": "uoojin95/mnist-with-vanilla-neural-network", "kernel_id": "7536580"}, {"ref": "stephenconneely/kernel605c5f392f", "kernel_id": "7838698"}, {"ref": "chaerink/mnist-mlp", "kernel_id": "7756058"}, {"ref": "danielefrancisz/digit-recognition", "kernel_id": "7329805"}, {"ref": "motornyio/simple-neural-network-for-mnist", "kernel_id": "7070031"}, {"ref": "derpimort/initial-tests-c32-c64-c64-d128-mnist-99-25", "kernel_id": "7387724"}, {"ref": "ashank19/mnist-dataset", "kernel_id": "7886153"}, {"ref": "yangpeng1995/cnn-digit-recognizer-pytorch", "kernel_id": "7993682"}, {"ref": "yangpeng1995/image-claasification-based-on-rs-dataset", "kernel_id": "7976872"}, {"ref": "venky29/kernel591af6935a", "kernel_id": "7645187"}, {"ref": "saga21/digit-recognizer-comp-studying-cnn-architectures", "kernel_id": "7898019"}, {"ref": "prashant268/digit-recognizer", "kernel_id": "7485362"}, {"ref": "jainshukal/introduction-to-cnn-keras", "kernel_id": "7170487"}, {"ref": "amanooo/digit-recognizer-small-densenet", "kernel_id": "7468239"}, {"ref": "maniramu47/digit-recognizer-using-keras", "kernel_id": "7511519"}, {"ref": "imtypo/digit-recognizer-cnn", "kernel_id": "7835943"}, {"ref": "seraphwedd18/keras-cnn-with-multi-tower-convolution", "kernel_id": "7764469"}, {"ref": "azacus/digit-recognizer-v1", "kernel_id": "7228346"}, {"ref": "priyanshu69/digit-recognisation-with-mnist", "kernel_id": "7591343"}, {"ref": "harrytsz520/digit-recognizer-pytorch", "kernel_id": "7198449"}, {"ref": "vicky1999/digit-recognition-using-cnn", "kernel_id": "7785322"}, {"ref": "zekaiz1/simple-mnist-numpy-from-scratch", "kernel_id": "7533920"}, {"ref": "xerous/kernel4e0e0c0b32", "kernel_id": "7888986"}, {"ref": "hemantbhora/cnn-mnist-98-8-accuracy", "kernel_id": "7392268"}, {"ref": "yannnnnnnnnnnn/kernel5d66c76231", "kernel_id": "7836969"}, {"ref": "emeraldn/emerald-ngo-simple-mnist-numpy-from-scratch", "kernel_id": "7530492"}, {"ref": "bobbyscience/keras-cnn-top-5", "kernel_id": "7608760"}, {"ref": "chahatagarwal96/exercise-deep-learning-from-scratch", "kernel_id": "7240113"}, {"ref": "chahatagarwal96/exercise-dropout-and-strides-for-larger-models", "kernel_id": "7240114"}, {"ref": "anishbittu/digitrecozcnn", "kernel_id": "7423489"}, {"ref": "palakurthianirudh/cnn-mnist-keras", "kernel_id": "7059815"}, {"ref": "bunnyyy/cnn-with-mnist", "kernel_id": "7044267"}, {"ref": "bmagnetta/auto-tune-tf-keras", "kernel_id": "7071271"}, {"ref": "carsons/digit-recognizer", "kernel_id": "7108034"}, {"ref": "gpdsec/digit-recognizer", "kernel_id": "7407207"}, {"ref": "amrhaj/simple-keras-model-score-of-98-757", "kernel_id": "7422728"}, {"ref": "yashrathi96/digit-recogniser", "kernel_id": "7837816"}, {"ref": "dks2000/digit-recogniser-using-cnn", "kernel_id": "7641810"}, {"ref": "dks2000/digit-recogniser-using-nn", "kernel_id": "7590028"}, {"ref": "muhammad4hmed/easily-get-into-top-29", "kernel_id": "7987456"}, {"ref": "sudosudh/digit-recog-basic", "kernel_id": "7134527"}, {"ref": "faressayah/tensorflow-2-tutorial-get-started-in-deep-learning", "kernel_id": "7475896"}, {"ref": "nickshow11/digit-recognizer-nn", "kernel_id": "7601057"}, {"ref": "komalaftab/introduction-to-cnn", "kernel_id": "7834995"}, {"ref": "coledie/neural-network-w-numpy", "kernel_id": "7549602"}, {"ref": "sumit189/digit-classification-using-tensorflow", "kernel_id": "7243469"}, {"ref": "galenoshea/mnist", "kernel_id": "7316195"}, {"ref": "arifali77/introduction-to-cnn-keras-digit-recognizer", "kernel_id": "7038110"}, {"ref": "carletonai/let-s-talk-computer-vision", "kernel_id": "7707594"}, {"ref": "g3rnosh/keras-cnn-digit-recognizer-99", "kernel_id": "7692195"}, {"ref": "andrifnatius/exercise-dropout-and-strides-for-larger-models", "kernel_id": "7020407"}, {"ref": "andrifnatius/exercise-deep-learning-from-scratch", "kernel_id": "7019752"}, {"ref": "souro12/mnist-cnn-with-keras", "kernel_id": "7461989"}, {"ref": "abbasidaniyal/digit-recognizer-using-sklearn", "kernel_id": "7392500"}, {"ref": "abbasidaniyal/n-layer-neural-network-from-scratch", "kernel_id": "7113199"}, {"ref": "abbasidaniyal/digit-recogniser-cnn", "kernel_id": "7960918"}, {"ref": "gdstoica/mnist-with-voting-classifier-blender", "kernel_id": "7175455"}, {"ref": "isunil/digit-recognizer-cnn", "kernel_id": "7673637"}, {"ref": "pcyslm/basic-model-for-mnist-solution-tf-v1-top-10", "kernel_id": "7280484"}, {"ref": "ttminh27/digit-recognizer", "kernel_id": "7331649"}, {"ref": "andy6804tw/digit-recognizer-using-t-sne-xgboost-1-1-gpu", "kernel_id": "7057957"}, {"ref": "kentropy/mnist-classification-with-cnn-w-batchnorm", "kernel_id": "7459317"}, {"ref": "kentropy/mnist-classification-with-simple-2-layer-nn", "kernel_id": "7424879"}, {"ref": "akshaymalviya/mnist-digit-recognition", "kernel_id": "7151686"}, {"ref": "koshiu/pytorch-aug-with-albumentation-model-ensemble", "kernel_id": "7033760"}, {"ref": "sanket2407/pca-and-t-sne", "kernel_id": "7676499"}, {"ref": "tuhinssam/digit-recognizer-using-keras-starter", "kernel_id": "7900310"}, {"ref": "ayushimishra2809/mnist-dataset-model-and-gui-application", "kernel_id": "7573702"}, {"ref": "vyzytor/kernel4ee278a363", "kernel_id": "7905657"}, {"ref": "mascck/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "7334179"}, {"ref": "ganeshmundra/do-not-underestimate-power-of-cnn", "kernel_id": "7429783"}, {"ref": "mayurmate12/digit-recognizer", "kernel_id": "7686186"}, {"ref": "melihkanbay/cnn-on-mnist", "kernel_id": "7961078"}, {"ref": "immu0001/digit-recognizer", "kernel_id": "7795196"}, {"ref": "ghomsi/digit-recov1", "kernel_id": "7172317"}, {"ref": "ankitkumarsaini/resnet18", "kernel_id": "7484184"}, {"ref": "ryomakawata/mnist-ffnn", "kernel_id": "7450719"}, {"ref": "vvijay83/digit-recognizer-using-svm", "kernel_id": "7543335"}, {"ref": "xv7d111/simple-code-for-97-accuracy-for-beginners", "kernel_id": "7699075"}, {"ref": "wahib04/simple-keras-model-get-a-score-of-0-95", "kernel_id": "7862688"}, {"ref": "bhavikjain/eda-neural-network", "kernel_id": "7884225"}, {"ref": "yuanjiajie1010/knn-pca-rfc-0-97-accuracy", "kernel_id": "7363216"}, {"ref": "jouleffect/digit-top", "kernel_id": "7945168"}, {"ref": "priyankapothala/svm-with-rbf-kernel-and-pca", "kernel_id": "7108173"}, {"ref": "anandsm7/intro-to-cnn-using-tensorflow-2-0-98", "kernel_id": "7484632"}, {"ref": "arunmastermind/digitrecognition-randomforest", "kernel_id": "7824513"}, {"ref": "vishal9839/simple-digit-recognizer-with-99-accuracy-mnist", "kernel_id": "7738630"}, {"ref": "dmitriykorzik/digit-recognizer", "kernel_id": "7172287"}, {"ref": "yzppzy/digit-recognizer-cnn", "kernel_id": "7927058"}, {"ref": "minakshikarwa/digit-recognizer-cnn", "kernel_id": "7194272"}, {"ref": "minakshikarwa/digit-recognizer", "kernel_id": "7175323"}, {"ref": "arjunraghunandanan/mnist-dataset-digit-recognizer", "kernel_id": "7843783"}, {"ref": "chandansitlani/digit-recog", "kernel_id": "7169462"}, {"ref": "koralturkk/tensorflow-practice-with-cnn", "kernel_id": "7454104"}, {"ref": "mohammadpooshesh/data-recognizer-100-score", "kernel_id": "7556493"}, {"ref": "anaskamel/simple-digit-recognizer-with-cnn-99", "kernel_id": "7737845"}, {"ref": "louisdelloye/mnist-cnn", "kernel_id": "7204493"}, {"ref": "louisdelloye/data-recognizer-100-score", "kernel_id": "7204871"}, {"ref": "rishabhm76/mnist-using-tensorflow-keras", "kernel_id": "7957705"}, {"ref": "sureshkothakota/digit-recognizer", "kernel_id": "7793448"}, {"ref": "priyankabnl/mnist-solved-using-tensorflow", "kernel_id": "7499996"}, {"ref": "vydyam/digit-recognizer-basic", "kernel_id": "7445753"}, {"ref": "errohitshende/handwritten-digit-recognition-using-svms-with-pca", "kernel_id": "7944502"}, {"ref": "errohitshende/handwritten-digit-recognition-using-svms", "kernel_id": "7603900"}, {"ref": "taherhaggui/svm-vs-dnn", "kernel_id": "7296349"}, {"ref": "guanyingc/kernel2b9d925d1c", "kernel_id": "7201639"}, {"ref": "siddharth2711/cnn-digit-recognizer", "kernel_id": "7094361"}, {"ref": "okadaryotaro/mnist-keras-tutorial-composing-some-networks", "kernel_id": "7065336"}, {"ref": "okadaryotaro/tensorflow-keras-mnist-base", "kernel_id": "7054774"}, {"ref": "okadaryotaro/mnist-data-check-visualization-no-submission", "kernel_id": "7050978"}, {"ref": "meysambostak/mb-cnn-keras", "kernel_id": "7198904"}, {"ref": "meysambostak/mb-cnn-keras1", "kernel_id": "7199265"}, {"ref": "sglee487/tf2-1-w-data-augmentation", "kernel_id": "7816601"}, {"ref": "sglee487/tf2-1-w-o-data-augmentation", "kernel_id": "7808761"}, {"ref": "vitost/kernel-keras-2", "kernel_id": "7450854"}, {"ref": "luukhofman/digit-recognizer", "kernel_id": "7130763"}, {"ref": "mattmaufemoog/mnist-classification-example", "kernel_id": "7957757"}, {"ref": "utkunal/how-to-attack-a-machine-learning-model", "kernel_id": "7945514"}, {"ref": "abdelaliezzyn/kernel8399bd54fb", "kernel_id": "7291850"}, {"ref": "harshwadhawe/kernelf3a40bf762", "kernel_id": "7116978"}, {"ref": "mohitkhanna15/kernel10c2c11851", "kernel_id": "7615176"}, {"ref": "ngbihu/course-2019", "kernel_id": "7214134"}, {"ref": "ngbihu/kernel1210d3ca2d", "kernel_id": "7278892"}, {"ref": "ericnian/my-digital-recognizer", "kernel_id": "7192346"}, {"ref": "kevinelong/mnist-with-keras-lumious", "kernel_id": "7568299"}, {"ref": "maurodidonna/ao-cnn-mnist-classification", "kernel_id": "7177962"}, {"ref": "jacquelinehsteen/mnist-recognition", "kernel_id": "7561918"}, {"ref": "fireballbyedimyrnmom/predictions-with-mnist", "kernel_id": "7749021"}, {"ref": "zero101010/classifica-o-mnist-numeros-keras", "kernel_id": "7666645"}, {"ref": "judithkatzy/mnist-dataset-digit-recognizer", "kernel_id": "7660778"}, {"ref": "kostyamoshkin/digit-recognizer-the-simplest-algorithm", "kernel_id": "7697596"}, {"ref": "kostyamoshkin/digit-recognizer-easy-cnn", "kernel_id": "7706038"}, {"ref": "yousefalkafif/digit-recognizer-mnist-using-fastai", "kernel_id": "7278790"}, {"ref": "winvoker/my-first-cnn-96-86-accuracy", "kernel_id": "7784802"}, {"ref": "hemchandrapadhalni/kernele0b1ce64a4", "kernel_id": "7484338"}, {"ref": "subhomajumder/digit-recognizer-cnn-pytorch-course", "kernel_id": "7369620"}, {"ref": "diannepham/kernel53ad39f673", "kernel_id": "7903807"}, {"ref": "marwanedaoudi/kerneldigitrecognition", "kernel_id": "7433485"}, {"ref": "guillaumepechon/kernel7537915833", "kernel_id": "7436746"}, {"ref": "sikidiabelle/r-gression-bay-sienne", "kernel_id": "7432471"}, {"ref": "mikhaillmv/kernel1180ae4246", "kernel_id": "7501094"}, {"ref": "phylake1337/minst-classification", "kernel_id": "7985923"}, {"ref": "kennblee/kernel687813517c", "kernel_id": "7882362"}, {"ref": "sf2021/kernel31f5b74543", "kernel_id": "7906758"}, {"ref": "ggiuffre/mnist-cnn-1", "kernel_id": "7994240"}, {"ref": "henrygordonsmith/simple-mnist-numpy-from-scratch", "kernel_id": "7564239"}, {"ref": "gauravdhiman05/tensorflow-mnist-dnn-digit-recognizer", "kernel_id": "7967469"}, {"ref": "roushik/mnist-keras-cnn", "kernel_id": "7581622"}, {"ref": "biswarupray/digit-recognition", "kernel_id": "7768976"}, {"ref": "biswarupray/15-cnn-models-99", "kernel_id": "7780225"}, {"ref": "eqchee/digits", "kernel_id": "7982781"}, {"ref": "jugglingsnakeboarder/simplecnnmlpmnisttestingtpu", "kernel_id": "7799089"}, {"ref": "christiangawron/mnist-sklearn", "kernel_id": "7721251"}, {"ref": "drovia99/cnn-notes", "kernel_id": "7821705"}, {"ref": "oliverfy/mnistcnn", "kernel_id": "7829333"}, {"ref": "hugoperesdefreitas/mnist", "kernel_id": "7936362"}, {"ref": "patsabpisal/get-start-image-classification", "kernel_id": "7895785"}, {"ref": "wiseking93/kernel635f03f926", "kernel_id": "7903376"}, {"ref": "tadehalexani/minst-using-decision-tree-and-tsne", "kernel_id": "7968131"}, {"ref": "alexandrepetrachini/mnist-simple-conv2d-cnn", "kernel_id": "7882821"}, {"ref": "alexandrepetrachini/mnist-transfer-learning-using-resnetv2-plaidml", "kernel_id": "7882915"}, {"ref": "alexandrepetrachini/mnist-simple-approach", "kernel_id": "7864141"}, {"ref": "atomicreactor/kernel4b9550947c", "kernel_id": "7983205"}, {"ref": "kambarakun/mnist-bench-svr-cpu-scikit-learn", "kernel_id": "8504776"}, {"ref": "kambarakun/mnist-bench-svc-bin-clf-multi-gpu-rapids", "kernel_id": "8504936"}, {"ref": "kambarakun/mnist-bench-knn-gpu-rapids", "kernel_id": "8503905"}, {"ref": "kambarakun/mnist-bench-knn-cpu-scikit-learn", "kernel_id": "8503808"}, {"ref": "kambarakun/mnist-bench-svr-gpu-rapids", "kernel_id": "8504471"}, {"ref": "kambarakun/mnist-bench-svc-cpu-scikit-learn", "kernel_id": "8506725"}, {"ref": "jamesmcguigan/minst-random-seed-search", "kernel_id": "8210947"}, {"ref": "baranikumar/exercise-deep-learning-from-scratch", "kernel_id": "8805939"}, {"ref": "baranikumar/exercise-dropout-and-strides-for-larger-models", "kernel_id": "8806421"}, {"ref": "xinformatics/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "8455252"}, {"ref": "adhok93/neural-network-implementation-in-numpy", "kernel_id": "8918135"}, {"ref": "mayankg/mnist", "kernel_id": "8523719"}, {"ref": "mayankg/mnist-w-augmentation", "kernel_id": "8541251"}, {"ref": "ladidinesh/digit-recognizer-using-keras", "kernel_id": "8751908"}, {"ref": "manojacharya/random-forest", "kernel_id": "8049422"}, {"ref": "mohitsital/0-984-accuracy-simple-multi-layer-perceptron-nn", "kernel_id": "8940167"}, {"ref": "mohitsital/pca-step-by-step-learn-inside-working", "kernel_id": "8855542"}, {"ref": "ashishgupta1992/digit-recognizer", "kernel_id": "8323949"}, {"ref": "preeti1980/digit-recognizer", "kernel_id": "8055788"}, {"ref": "habibmrad1983/neural-network-with-tensorflow", "kernel_id": "8242258"}, {"ref": "jagannathrk/generating-digits-dcgan-using-keras", "kernel_id": "8779737"}, {"ref": "vissu27/kernel1c54b0f633", "kernel_id": "8679428"}, {"ref": "ettorerizza/first-try-on-digits-with-knn-and-svm-0-982", "kernel_id": "8190422"}, {"ref": "stevengolo/multilayer-neural-network-in-tensorflow", "kernel_id": "8955935"}, {"ref": "ankschoubey/20200326-pytorch-mnist", "kernel_id": "8530185"}, {"ref": "amirzakhmet/digit-recognizer", "kernel_id": "8203513"}, {"ref": "veritasium42/mnist-digit-recognition", "kernel_id": "8515286"}, {"ref": "louis925/spiking-neural-net", "kernel_id": "8654523"}, {"ref": "daniel601/digits-cnn-pytorch-99-1", "kernel_id": "8342266"}, {"ref": "ddhawan/mnist-exp-achieved-99-4", "kernel_id": "8276869"}, {"ref": "saravananoppila/mnist-lenet-5-cnn-train-acc-99-86-test-acc-99-62", "kernel_id": "8872016"}, {"ref": "kanncaa1/long-short-term-memory-with-pytorch", "kernel_id": "8732827"}, {"ref": "franckepeixoto/digit-recognizer-tensorflow-rff-vs-cnn", "kernel_id": "8977342"}, {"ref": "pawan28a95/mnist-training-fastai", "kernel_id": "8102161"}, {"ref": "ajisamudra/cnn-on-mnist-dataset", "kernel_id": "8367797"}, {"ref": "ajisamudra/solving-mnist-using-cnn-mlp-and-stacking", "kernel_id": "8329060"}, {"ref": "blairwang/knn-framework", "kernel_id": "8747754"}, {"ref": "vivekpandain/99-5-cnn", "kernel_id": "8436687"}, {"ref": "maheswarareddyp/digit-recognizer-mahesh-notebook", "kernel_id": "8408283"}, {"ref": "jsaltz/kernel-intro-mnist", "kernel_id": "8166562"}, {"ref": "jsaltz/image-classification-example", "kernel_id": "8167406"}, {"ref": "ateplyuk/tpu-tensor-processing-unit-mnist-efficientnet", "kernel_id": "8005232"}, {"ref": "mobasshir/rapids-gpu-knn-mnist-0-97", "kernel_id": "8112191"}, {"ref": "mobasshir/rapids-data-augmentation-mnist-0-985", "kernel_id": "8112877"}, {"ref": "arshadgeek/digit-recognition-with-svm-cnn", "kernel_id": "8101848"}, {"ref": "vinu64/digital-recognizer", "kernel_id": "8103734"}, {"ref": "ncyjain/mnist-digit-base", "kernel_id": "8665404"}, {"ref": "ncyjain/mnist-digit-base-accumulate-gradient", "kernel_id": "8755892"}, {"ref": "mmatvienko/pytorch-cnn", "kernel_id": "8034836"}, {"ref": "giangtran2408/original-gan-mnist", "kernel_id": "8696579"}, {"ref": "tackes/digit-recognizer", "kernel_id": "8194656"}, {"ref": "eggwhites2705/pytorch-practice-digit-02", "kernel_id": "8974661"}, {"ref": "eggwhites2705/pytorch-practice-digit-01", "kernel_id": "8973076"}, {"ref": "alberto467/digit-recognizer", "kernel_id": "8147528"}, {"ref": "fleanend/homegrown-nn-cookbook-pytorch", "kernel_id": "8368438"}, {"ref": "lyubomirkushev/digit-recognizer-from-csv", "kernel_id": "8169168"}, {"ref": "harishvutukuri/mnist-pytorch", "kernel_id": "8010696"}, {"ref": "harishvutukuri/mnist-fast-ai", "kernel_id": "8009991"}, {"ref": "benfraser/mnist-digit-recognition-three-different-methods", "kernel_id": "8048992"}, {"ref": "duketemon/digit-recognizer-using-the-fast-ai-library", "kernel_id": "8280871"}, {"ref": "aeromateen/mnist", "kernel_id": "8420970"}, {"ref": "jongwonwoo/hello-mnist", "kernel_id": "8468905"}, {"ref": "jatinhabibkar/getting-started-with-pytorch", "kernel_id": "8837667"}, {"ref": "mendiza/digit-recognition-cnn-keras-data-augmentation", "kernel_id": "8960454"}, {"ref": "bhairaveeoza/using-cnn", "kernel_id": "8216722"}, {"ref": "karanjakhar/digit-recognizer-using-pytoch", "kernel_id": "8878253"}, {"ref": "sairam6087/chpt-3-hands-on-ml2-classification", "kernel_id": "8110211"}, {"ref": "aniket12/digit-recognizer-through-cnn", "kernel_id": "8678113"}, {"ref": "ipythonx/bengali-numeral-classification-in-capsule-network", "kernel_id": "8583758"}, {"ref": "johnnyhopp/digit-recognizer-competition", "kernel_id": "8103098"}, {"ref": "salihacur/digit-recognizer-cnn-model-with-keras", "kernel_id": "8424641"}, {"ref": "ajsssss/mnist-digit-recognizer-built-with-tf-2-0", "kernel_id": "8980528"}, {"ref": "usam9048/for-beginners-to-dl-with-99-70-acc", "kernel_id": "8659870"}, {"ref": "narenvivek08/mnist-using-cnn-tensorflow", "kernel_id": "8835594"}, {"ref": "ahmedjimy/digitrecognizer", "kernel_id": "8134409"}, {"ref": "ramprakasism/digit-recognizer-with-mnist-data", "kernel_id": "8150228"}, {"ref": "mustafa32/basic-keras-90", "kernel_id": "8215600"}, {"ref": "amanat9/digit-recognition-cnn", "kernel_id": "8768991"}, {"ref": "prudhvi9999/digit-recognizer", "kernel_id": "8396610"}, {"ref": "shotatakahashi/kernel77867fe584", "kernel_id": "8085613"}, {"ref": "mrumuly/hopfield-network-mnist", "kernel_id": "8996107"}, {"ref": "moradi/kernel64fabafd3d", "kernel_id": "8759259"}, {"ref": "jatannvyas/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "8807295"}, {"ref": "jason03/digit-recognizer", "kernel_id": "8159775"}, {"ref": "raman09/mnist-cnn", "kernel_id": "8287664"}, {"ref": "oktayh/cnn-w-callback", "kernel_id": "8558822"}, {"ref": "gauravsharma99/getting-started-with-digit-mnist-using-keras", "kernel_id": "8011469"}, {"ref": "pravinborate/digit-recognizer-with-keras", "kernel_id": "8301322"}, {"ref": "anthony358/mnist-with-mlp-cnn", "kernel_id": "8558899"}, {"ref": "flo2607/kernel44c519693b", "kernel_id": "8208250"}, {"ref": "sergey55/digit-recognizer-99-6-keras", "kernel_id": "8609647"}, {"ref": "matveevgennadiy/kernel74d4e0f859", "kernel_id": "8105325"}, {"ref": "ftamur/digit-recognizer-top-12", "kernel_id": "8212979"}, {"ref": "mattbast/image-classification-tensorflow-cnn", "kernel_id": "8921813"}, {"ref": "c2beat/dynamic-fixed-point-quantization-on-mnist", "kernel_id": "8046882"}, {"ref": "mateusz8005/mnist-cnn-keras", "kernel_id": "8629463"}, {"ref": "mateusz8005/generating-digits-gan-using-keras", "kernel_id": "8645169"}, {"ref": "drozdyuk/digit-recognizer", "kernel_id": "8814505"}, {"ref": "bluewizard/mnist-digit-recognition-cnn-with-99-accuracy", "kernel_id": "8650461"}, {"ref": "taukir707/deeplearning-digit-recognition", "kernel_id": "8594246"}, {"ref": "anand498/mnist", "kernel_id": "8013275"}, {"ref": "khotijahs1/digit-recognizer-support-vector-machine", "kernel_id": "8687602"}, {"ref": "elhmadany/deeplearningpractice", "kernel_id": "8754082"}, {"ref": "sarthakmaggu/mnist", "kernel_id": "8871266"}, {"ref": "saff000/digit", "kernel_id": "8826553"}, {"ref": "michalinho/michal-dyczko-digit-recognizer", "kernel_id": "8700624"}, {"ref": "nixonz/digit-recognizer", "kernel_id": "8348922"}, {"ref": "artemshramko/cnn-sandbox", "kernel_id": "8502451"}, {"ref": "trolukovich/glorot-vs-he-weight-initialization-experiment", "kernel_id": "8726512"}, {"ref": "brendan45774/digit-recognizer-solution", "kernel_id": "8738762"}, {"ref": "shekharbanerjee/mnist-neural-net", "kernel_id": "8601430"}, {"ref": "poonehts/mnist-digit", "kernel_id": "8034577"}, {"ref": "p4prabhat/digit-recognizer", "kernel_id": "8019155"}, {"ref": "myndel/shared-feature-extraction-layer", "kernel_id": "8155553"}, {"ref": "kumareshbabuns/digit-recognizer", "kernel_id": "8988984"}, {"ref": "sumitkumar9865/1st-kaggle-project", "kernel_id": "8724958"}, {"ref": "shekhark22/image-classification-mnst", "kernel_id": "8736326"}, {"ref": "dhavanshah99/digit-recognizer-using-neural-nets", "kernel_id": "8447147"}, {"ref": "chaerink/mnist-cnn-keras", "kernel_id": "8259116"}, {"ref": "chaerink/mnist-cnn-keras-v2", "kernel_id": "8267203"}, {"ref": "chaerink/mnist-cnn-keras-v4", "kernel_id": "8267377"}, {"ref": "vijayjoyz/digit-classifier", "kernel_id": "8234639"}, {"ref": "akshatj52/kernel7216ca0c45", "kernel_id": "8631352"}, {"ref": "rprtr258/mnist-classification", "kernel_id": "8310956"}, {"ref": "jordischaaf/deep-learning-mnist-nns", "kernel_id": "8335191"}, {"ref": "tcrammond/mnist-digit-prediction", "kernel_id": "8587901"}, {"ref": "pratt3000/kernel-sanders-99-97-on-cv-99-4-on-test", "kernel_id": "8261004"}, {"ref": "chaitu2595/digit-recognition-using-cnn", "kernel_id": "8383954"}, {"ref": "tmkggl/tensorflow-cnn-hand-digit-recognizer", "kernel_id": "8946188"}, {"ref": "eniacc/step-by-step-using-resnet", "kernel_id": "8505936"}, {"ref": "eniacc/step-by-step-promote-score-cn", "kernel_id": "8405727"}, {"ref": "natsudragnoeel/digit-recognizer-fundamental", "kernel_id": "8753889"}, {"ref": "saik4t/digit-recognizer", "kernel_id": "8109385"}, {"ref": "to95diqu/mnist", "kernel_id": "8140327"}, {"ref": "nikhilthapa11/digit-recognizer-cnn", "kernel_id": "8866181"}, {"ref": "engahmedabbas/dr-cnn-keras-0-994", "kernel_id": "8569997"}, {"ref": "anmspro/a-very-comprehensive-tutorial-nn-cnn", "kernel_id": "8220843"}, {"ref": "sukanthen/basic-digit-classifier", "kernel_id": "8553559"}, {"ref": "ahzeyyy/digit-recognizer", "kernel_id": "8113751"}, {"ref": "kalinaxl/cnn-with-keras-12-minute-cpu-running", "kernel_id": "8045284"}, {"ref": "gb00000/pytorchexample", "kernel_id": "8372022"}, {"ref": "prakharrathi25/mnist-digit-recoginizer", "kernel_id": "8908917"}, {"ref": "munire/kernel4d4aacc13f", "kernel_id": "8080893"}, {"ref": "deepakrajpurohit/prediction-using-xgboost-hyperparameter-tuning", "kernel_id": "8767009"}, {"ref": "amypeniston/mnist-neural-network-experimentation", "kernel_id": "8414205"}, {"ref": "amypeniston/eda-logistic-regression-baseline", "kernel_id": "8364964"}, {"ref": "amypeniston/beginner-s-guide-to-nn-hyperparameters", "kernel_id": "8197274"}, {"ref": "arghyabiswas0/cnn-fundamentals-mnist-handwritten-digits", "kernel_id": "8039080"}, {"ref": "awadhi123/digit-recognizer-approach", "kernel_id": "8833650"}, {"ref": "loleiying/convolutional-neural-network", "kernel_id": "8078720"}, {"ref": "chireia/rn-reconhecimento-digitos", "kernel_id": "8312637"}, {"ref": "sivakumarai/mnist-digit-classification-96-6-accuracy", "kernel_id": "8714458"}, {"ref": "adityasingh177/simplecnn-with-visualizations-99-4", "kernel_id": "8475530"}, {"ref": "faressayah/digit-recognizer-using-anns-cnns", "kernel_id": "8946531"}, {"ref": "chiraggodaw/kernel96d7450387", "kernel_id": "8102635"}, {"ref": "whitetiger1399/kernel7a3cbdc615", "kernel_id": "8891106"}, {"ref": "lomen0857/explaining-cnn-using-shap", "kernel_id": "8959201"}, {"ref": "yogeshkumarsingla/a-beginner-guide-to-mnist-dataset-digit-recognizer", "kernel_id": "8317397"}, {"ref": "gauthampughazh/digit-recognizer-using-cnn-top-9", "kernel_id": "8460609"}, {"ref": "gauthampughazh/digit-recognition-using-knn", "kernel_id": "8405050"}, {"ref": "harrycode7/mnist-digit-recognizer-deep-learning", "kernel_id": "8996949"}, {"ref": "ashar7777/digit-recognition-using-a-cnn", "kernel_id": "8931418"}, {"ref": "alinedebenath/first-approach-of-neural-network", "kernel_id": "8029008"}, {"ref": "sumitpatnaik/digit", "kernel_id": "8794826"}, {"ref": "coolmancommet/number-identification", "kernel_id": "8177716"}, {"ref": "anushakarthik1991/introduction-to-keras-beginner-public-score-9978", "kernel_id": "8217809"}, {"ref": "saifahmadalig/mnist-deep-nn-keras-tensorflow", "kernel_id": "8806392"}, {"ref": "spiiiii/digit-recognizer-nn", "kernel_id": "8042252"}, {"ref": "lukasgajdosech/digits-basic-mlp", "kernel_id": "8631232"}, {"ref": "marinaramalhete/mnist-cnn", "kernel_id": "8075398"}, {"ref": "tariqmhmd5/hand-digit-recognition", "kernel_id": "8174247"}, {"ref": "ksaxena10/mnist-data-aug-with-cnn", "kernel_id": "8131079"}, {"ref": "rakeshsahoo/digit-recognizer-with-tensorflow", "kernel_id": "8768829"}, {"ref": "nofreewill/train-on-small-images-transfer-to-bigger-ones", "kernel_id": "8379528"}, {"ref": "ibrahimds/convolutional-neural-network", "kernel_id": "8849494"}, {"ref": "mghanava/mnist-handwritten-digit-classification-thru-mlp", "kernel_id": "8256205"}, {"ref": "mghanava/mnist-handwritten-digit-classification-thru-cnn", "kernel_id": "8428136"}, {"ref": "kongkonpratim29/numeric-recognition-mnist-using-cnn", "kernel_id": "8761428"}, {"ref": "cjpjg007/kernel22fc5b6031", "kernel_id": "8202618"}, {"ref": "faisalahmedbijoy/a-very-comprehensive-tutorial-nn-cnn", "kernel_id": "8228334"}, {"ref": "jyuvaraj03/convolutional-neural-network-cnn", "kernel_id": "8787688"}, {"ref": "fus144/convnn-0-976-mnist", "kernel_id": "8791037"}, {"ref": "shahar3/digit-reconizer-with-cnn", "kernel_id": "8848345"}, {"ref": "yssbharadwaj/hand-written-digit-recognizer-using-tensorflow", "kernel_id": "8352918"}, {"ref": "akskshay007/fastai-mnist", "kernel_id": "8282311"}, {"ref": "ufukasil/say-resimlerinin-deep-learning-ile-tan-nmas", "kernel_id": "8033299"}, {"ref": "ufukasil/convolutional-neural-network-cnn-e-itimi", "kernel_id": "8136693"}, {"ref": "pandeysiddhartha915/digitrecogniser", "kernel_id": "8145746"}, {"ref": "sarachilson/wolfgang-resnet-mnist", "kernel_id": "8585361"}, {"ref": "nikilreddy/digit-recognizer-using-cnn-keras-0-99", "kernel_id": "8206454"}, {"ref": "tarunbisht11/mnist-digit-recognition-convnet-with-leakyrelu", "kernel_id": "8946883"}, {"ref": "ravirajsinh45/digit-recognizer-with-keras", "kernel_id": "8608230"}, {"ref": "vaishnavibv/digit-recognizer", "kernel_id": "8905918"}, {"ref": "debasisdotcom/digit-recognizer", "kernel_id": "8146561"}, {"ref": "nickteim/mnist-fastai-v3", "kernel_id": "8655915"}, {"ref": "adilchkaf/digit-recognizer-with-cnn", "kernel_id": "8691541"}, {"ref": "ovsienkobohdan/digit-recognizer", "kernel_id": "8326415"}, {"ref": "zichengsaber/zicheng-cnn-digital", "kernel_id": "8526265"}, {"ref": "elesawy/kernelc1f4f70235", "kernel_id": "8701578"}, {"ref": "subhashachutha/99-1-accuracy", "kernel_id": "8856587"}, {"ref": "saumyaborwankar/digit-classification", "kernel_id": "8964386"}, {"ref": "thunder2901/mnist-digit", "kernel_id": "8029951"}, {"ref": "jullang/digit-recognition-via-cnn-using-batchnorm-dataaug", "kernel_id": "8601275"}, {"ref": "siddharthcha519810/accuracy-achieved-0-9920", "kernel_id": "8284255"}, {"ref": "raibektussupbekov/mnist-data-visualization", "kernel_id": "8802197"}, {"ref": "arunkumarpyramid/digit-recognizer-in-cnn", "kernel_id": "8240012"}, {"ref": "pooyamoini/digits", "kernel_id": "8448187"}, {"ref": "pooyamoini/digits-sklean-knn", "kernel_id": "8133290"}, {"ref": "pooyamoini/mnist-sklearn-digits", "kernel_id": "8124582"}, {"ref": "huseyinefe/digit-recognizer-with-cnn", "kernel_id": "8468424"}, {"ref": "terryabraham/beginner-mnist-using-cnn-tpu", "kernel_id": "8007862"}, {"ref": "hdotyildiz/big-data-analysis", "kernel_id": "8319005"}, {"ref": "vitost/kernel-keras-injection-sol", "kernel_id": "8005635"}, {"ref": "teodorbogoeski/mnist-cnn", "kernel_id": "8237815"}, {"ref": "fkdplc/snapshot-ensemble-tutorial-with-keras", "kernel_id": "8497709"}, {"ref": "blakemoore/mnist-aug2-simp", "kernel_id": "8212338"}, {"ref": "danaelisanicolas/digit-recognition", "kernel_id": "8171427"}, {"ref": "kapral42/handwritten-digits-recognition-cnn", "kernel_id": "8308856"}, {"ref": "roblexnana/mnist-digit-recognition-with-lenet-on-keras", "kernel_id": "8885855"}, {"ref": "prabhavsingh/mnist-data", "kernel_id": "8389961"}, {"ref": "khushboon/digit-recognizer-rf-classifier", "kernel_id": "8584059"}, {"ref": "kevinelong/mnist-digits-pytorch-cnn-lumioustmus", "kernel_id": "8498689"}, {"ref": "kevinelong/simple-mnist-numpy-from-scratch-no-cnn-lumious", "kernel_id": "8251910"}, {"ref": "kevinelong/beginner-s-guide-to-nn-hyperparameters-lumious", "kernel_id": "8254093"}, {"ref": "kevinelong/running-your-first-gan-lumioustmus", "kernel_id": "8256608"}, {"ref": "thejasvini/digit-recognizer-svm", "kernel_id": "8723928"}, {"ref": "davidkolb/digit-cnn-idg-lrs", "kernel_id": "8135514"}, {"ref": "gustavocarmoh/rumo-top-1", "kernel_id": "8013305"}, {"ref": "palakshichoksi/image-classification", "kernel_id": "8557722"}, {"ref": "tathagatbanerjee/digit-recognition", "kernel_id": "8883784"}, {"ref": "ratneshchandak/digit-recognition", "kernel_id": "8936333"}, {"ref": "phenomarc/from-a-beginner-to-beginners", "kernel_id": "8861223"}, {"ref": "issactai/simple-cnn-for-mnist-with-keras-99-37", "kernel_id": "8392115"}, {"ref": "robbiebeane/nnet-02-mnist", "kernel_id": "8076556"}, {"ref": "robbiebeane/nnet-03-mnist-cnn", "kernel_id": "8179292"}, {"ref": "sidshukla97/pca-vs-t-sne", "kernel_id": "8472694"}, {"ref": "derek1317/exercise-deep-learning-from-scratch", "kernel_id": "8279450"}, {"ref": "anmolarora01/kaggle-mnist-digit-recognition", "kernel_id": "8801939"}, {"ref": "oskarfirlej/exercise-deep-learning-from-scratch", "kernel_id": "8802633"}, {"ref": "oskarfirlej/exercise-dropout-and-strides-for-larger-models", "kernel_id": "8806209"}, {"ref": "saishreddykomalla/digit-recognizer-acc-99-6", "kernel_id": "8757284"}, {"ref": "diggee/dl-image-augmentation-in-tf-lb-score-0-99", "kernel_id": "8750837"}, {"ref": "ankitanurag7/mnist-digit-recog", "kernel_id": "8134549"}, {"ref": "jhonathanortiz/mnist-with-residual-blocks", "kernel_id": "8936031"}, {"ref": "philippbykov/best-model", "kernel_id": "8372221"}, {"ref": "mehakjamil/kernel22f3162e13", "kernel_id": "8066068"}, {"ref": "fedorovyury/simple-model-with-0-99285-accuracy", "kernel_id": "8366107"}, {"ref": "ysanojpn/digit-recognizer-convnet-dataaug-lrreduction", "kernel_id": "8035242"}, {"ref": "shivamsinghal1012/digit-recognizer", "kernel_id": "8575426"}, {"ref": "shubhankartiwari/interactive-intro-to-dimensionality-reduction", "kernel_id": "8505572"}, {"ref": "maxr43/number-classification", "kernel_id": "8295598"}, {"ref": "bharathms/exercise-deep-learning-from-scratch", "kernel_id": "8945470"}, {"ref": "leifzimmermann/failing-mnist", "kernel_id": "8312805"}, {"ref": "javierduran/letter-recognition", "kernel_id": "8142945"}, {"ref": "orumukawai/introtocnnkeras-0-997", "kernel_id": "8389120"}, {"ref": "hedimejri/m2-msi-digit-recogniser-cnn", "kernel_id": "8372031"}, {"ref": "operationalamplifier/chainer-mnistclassifier-base", "kernel_id": "8419489"}, {"ref": "gregbultman/exploring-classification-techniques-in-r", "kernel_id": "8124629"}, {"ref": "ekzemplaro/digitrecognizer-mar27-2020", "kernel_id": "8571927"}, {"ref": "kailongwong/digit-recognizer-by-keras", "kernel_id": "8501189"}, {"ref": "darwinwin/digit-recognizer-used-auto-sklearn", "kernel_id": "8086795"}, {"ref": "darwinwin/mnist-sklearn-and-keras", "kernel_id": "8190835"}, {"ref": "wangqiyuan/digit-recognizer-used-auto-sklearn", "kernel_id": "8112313"}, {"ref": "ahmdtolba/neural-network-approach", "kernel_id": "8476380"}, {"ref": "mdashikuzzaman/assignment-on-nn", "kernel_id": "8325328"}, {"ref": "sahilpatni95/digit-recognizer-using-cnn-keras", "kernel_id": "8348213"}, {"ref": "alfarias/mnist-with-pytorch-catalyst-amp-nvidia-apex", "kernel_id": "8994009"}, {"ref": "stefanbschneider/minst-modular-deep-cnn-mlp-classification", "kernel_id": "8168126"}, {"ref": "smailhakk/firstkernel-cnn", "kernel_id": "8836960"}, {"ref": "eraviral34/exercise-deep-learning-from-scratch", "kernel_id": "8965743"}, {"ref": "eraviral34/exercise-dropout-and-strides-for-larger-models", "kernel_id": "8966173"}, {"ref": "nikhilbartwal001/handwriiten-digit-recognition-with-mnist-dataset", "kernel_id": "8870130"}, {"ref": "omniaabdelrahman/digit-recognizer", "kernel_id": "8742289"}, {"ref": "elenastein/digit-recognizer-test", "kernel_id": "8817227"}, {"ref": "ohorodnikovs/mnist-scv-rbf", "kernel_id": "8845842"}, {"ref": "krparekh24/digit-recognization", "kernel_id": "8856122"}, {"ref": "michaellinlzc/t-sne-cuda-using-gpu", "kernel_id": "8519166"}, {"ref": "peeushagarwal/notebook-for-digit-recognizer", "kernel_id": "8706564"}, {"ref": "toshikinakashima/nn-with-numpy", "kernel_id": "8555260"}, {"ref": "toshikinakashima/digit", "kernel_id": "8563114"}, {"ref": "yiyuqian/exercise-dropout-and-strides-for-larger-models", "kernel_id": "8735768"}, {"ref": "nouudi/ml-mnist", "kernel_id": "8666733"}, {"ref": "wenzhengding/digit-recognition", "kernel_id": "8516225"}, {"ref": "furkanyilmaz99/cnn-first-study", "kernel_id": "8671662"}, {"ref": "blueturtle/mnist-cnn-train-inference", "kernel_id": "8708408"}, {"ref": "zenmikhail/mnist-kneighborsclassifier-lite", "kernel_id": "8868407"}, {"ref": "danielflevine/lda-digit-recognizer", "kernel_id": "8550218"}, {"ref": "arupa07/dimensionality-reduction-using-augmentation", "kernel_id": "8979491"}, {"ref": "senthilskm/digitsrecognizer-tensorflowcnn", "kernel_id": "8974393"}, {"ref": "kamilbakierzyski/digit-recog", "kernel_id": "8793220"}, {"ref": "justinflanagan/exercise-dropout-and-strides-for-larger-models", "kernel_id": "8965158"}, {"ref": "justinflanagan/exercise-deep-learning-from-scratch", "kernel_id": "8964541"}, {"ref": "architpatel96/introduction-to-generative-adversarial-networks", "kernel_id": "8843941"}, {"ref": "aryankolapkar/mnist-code", "kernel_id": "8889131"}, {"ref": "sarthakdixit/cnn-recognize-this-digit-99", "kernel_id": "8969987"}, {"ref": "jmosinski/resnets-are-awesome-state-of-the-art", "kernel_id": "8921515"}, {"ref": "tjac718/digit-recogniser-using-pytorch", "kernel_id": "8943514"}, {"ref": "tjac718/digit-recogniser-using-keras", "kernel_id": "8937174"}, {"ref": "cairo43227/mnist-digit-recognition-with-cnn-99-15", "kernel_id": "9087845"}, {"ref": "sumantindurkhya/understanding-cnn-architecture", "kernel_id": "9412525"}, {"ref": "kuberiitb/applied-machine-learning", "kernel_id": "9398582"}, {"ref": "sophieb/mnist-using-the-fastai-library", "kernel_id": "9568647"}, {"ref": "poonaml/building-resnet34-from-scratch-using-pytorch", "kernel_id": "9897899"}, {"ref": "saisatish09/a-simple-tutorial-on-cnn", "kernel_id": "9977118"}, {"ref": "wojciechmigda/classification-with-pytsetlini-classifier", "kernel_id": "9718856"}, {"ref": "wojciechmigda/pytsetlini-classifier-1-bit", "kernel_id": "9737324"}, {"ref": "chriscc/logistic-regression-for-mnist-ganify", "kernel_id": "9635229"}, {"ref": "chriscc/mnist-mlp-pytorch", "kernel_id": "9601079"}, {"ref": "chriscc/logistic-regression-for-mnist-with-regularization", "kernel_id": "9593387"}, {"ref": "daman1807/digit-recognizer-with-cnn", "kernel_id": "9675350"}, {"ref": "navdeeppal/introduction-to-convolution-neural-network", "kernel_id": "9087796"}, {"ref": "tunguz/mnist-with-rapids-svr", "kernel_id": "9084675"}, {"ref": "noemir/digit-recognizer-using-cnn-in-keras", "kernel_id": "9258224"}, {"ref": "mdp1990/cnn-keras-using-multilayer-perceptrons", "kernel_id": "9113013"}, {"ref": "mdp1990/cnn-keras-digit-recognizer-predictve-model", "kernel_id": "9111865"}, {"ref": "nestormontano/deeplearning-keras-desde-r-2020-rkeras", "kernel_id": "9503636"}, {"ref": "tyadav/exercise-deep-learning-from-scratch", "kernel_id": "9727718"}, {"ref": "subhamoybhaduri/solving-handwritten-digit-recognition-problem", "kernel_id": "9367969"}, {"ref": "apsivanesan/exploring-deep-neural-networks-using-keras", "kernel_id": "9247978"}, {"ref": "abahnasy/lenet-5-pytorch-digit-recognizer", "kernel_id": "9475918"}, {"ref": "karanchhabra99/exercise-dropout-and-strides-for-larger-models", "kernel_id": "9876477"}, {"ref": "karanchhabra99/exercise-deep-learning-from-scratch-497fed", "kernel_id": "9873413"}, {"ref": "bryanb/keras-cnn-for-mnist-digit-recognition-with-tpus", "kernel_id": "9658588"}, {"ref": "bryanb/gans-for-handwritten-digits-generation-with-keras", "kernel_id": "9916780"}, {"ref": "dkrocks/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "9799147"}, {"ref": "suvabratadas/keras-digit-recognizer", "kernel_id": "9787092"}, {"ref": "olgabelitskaya/nnet-r", "kernel_id": "9189363"}, {"ref": "olgabelitskaya/xgb-symbol-classification", "kernel_id": "9086273"}, {"ref": "anuragbisht12/mnist-digits-classification", "kernel_id": "9246274"}, {"ref": "duboviy/kernel14edef7d01", "kernel_id": "9133089"}, {"ref": "vadimbezdushny/mnist", "kernel_id": "9782103"}, {"ref": "ardrey0823/mnist-digit-recognizer-99-25", "kernel_id": "9284592"}, {"ref": "v3dsingh/mnist-cnn", "kernel_id": "9026628"}, {"ref": "amsharma7/mnist-pytorch-for-beginners-detailed-desc", "kernel_id": "9103032"}, {"ref": "fotone/tensorflow2-keras-vgg-style-mnist-99", "kernel_id": "9835110"}, {"ref": "mastergogo/fashionmnistassignment", "kernel_id": "9551211"}, {"ref": "afraakbas/mnsit", "kernel_id": "9306445"}, {"ref": "dehanlazuardi/dl-academy-nn-regularization", "kernel_id": "9466542"}, {"ref": "demidova/handwritten-digit-recognition-with-pytorch-fnn", "kernel_id": "9366037"}, {"ref": "tarunpaparaju/mnist-competition-pytorch-nn", "kernel_id": "9867892"}, {"ref": "chenrz925/kernel74198bc53c", "kernel_id": "9687925"}, {"ref": "gasparavit/digit-recognizer-cnn-99-58-acc", "kernel_id": "9246679"}, {"ref": "shanu1988/digit-recognize", "kernel_id": "9532577"}, {"ref": "cschup/cnn-architecture-guide", "kernel_id": "9522020"}, {"ref": "tugrulguner/mnist-tensorflow", "kernel_id": "9250606"}, {"ref": "sunnyville01/digit-recognizer-deep-neural-networks", "kernel_id": "9004984"}, {"ref": "serkanpeldek/fork-of-makine-renmesi-in-lineer-cebir", "kernel_id": "9241566"}, {"ref": "ahmednour/keras-mnist", "kernel_id": "9404526"}, {"ref": "esa2018/mnist-detector-and-displaying-results", "kernel_id": "9671918"}, {"ref": "sarahjaynekessler/mnist-with-fastai-and-data-resizing", "kernel_id": "9158318"}, {"ref": "syamkakarla/mnist-basic-tutorial", "kernel_id": "9163203"}, {"ref": "syamkakarla/digit-recognizer-using-cnn-99-55", "kernel_id": "9166124"}, {"ref": "dinasinclair/intro-to-cnns-and-keras-tuner-using-mnist", "kernel_id": "9177988"}, {"ref": "mangelfg/digit-recognizer-my-first-s-cnn-0-99", "kernel_id": "9628121"}, {"ref": "bassbone/pytorch-mnist", "kernel_id": "9895998"}, {"ref": "activenikhilg/all-for-0-99757", "kernel_id": "9988485"}, {"ref": "aligh474/cnn-best-practice-2", "kernel_id": "9275992"}, {"ref": "samslondon/learn-mnist-with-fastai", "kernel_id": "9574585"}, {"ref": "acschaap/introduction-to-deep-learning", "kernel_id": "9883970"}, {"ref": "anamikasingh874/digit-recogniser", "kernel_id": "9549249"}, {"ref": "mauriciofigueiredo/cnn-simples-com-keras-para-iniciantes", "kernel_id": "9912251"}, {"ref": "mauriciofigueiredo/mlp-simples-com-keras-para-iniciantes", "kernel_id": "9895043"}, {"ref": "derekxia/lenet-on-mnist-augmentations-adam", "kernel_id": "9789109"}, {"ref": "akirahirohashi/v16-of-digit-rcognizer", "kernel_id": "9877165"}, {"ref": "anmolkumar/mnist-digit-classification-99-5-accuracy", "kernel_id": "9566226"}, {"ref": "chtalhaanwar/mnist-cnn-external-data-perfect-score", "kernel_id": "9209051"}, {"ref": "lanle793/mnist-cnn-keras", "kernel_id": "9744326"}, {"ref": "congtru/first-cnn-model", "kernel_id": "9452182"}, {"ref": "servietsky/introduction-to-nn-hyperparameter-tuning-keras", "kernel_id": "9922353"}, {"ref": "rahulbana/digit-recognizer", "kernel_id": "9866350"}, {"ref": "ashah9497/mnist", "kernel_id": "9510402"}, {"ref": "abhiswain/mnist-using-myvision", "kernel_id": "9956951"}, {"ref": "limyunjie1999/digit-recogniser-using-cnn-keras", "kernel_id": "9820816"}, {"ref": "fx757887/digit-recognizer-dnn-keras-augument-1", "kernel_id": "9710180"}, {"ref": "rishabhdhiman/resnet-keras-lb-0-997", "kernel_id": "9458657"}, {"ref": "hellyjain/tensorflow-tuning", "kernel_id": "9984098"}, {"ref": "vipina/digit-recognizer", "kernel_id": "9819374"}, {"ref": "yinjishen/projecting-mnist-with-variational-autoencoder", "kernel_id": "9071035"}, {"ref": "endoruk1234/pytorch-cnn-digit-recognizer-gpu", "kernel_id": "9443293"}, {"ref": "rahulgarg28/kernel420be88e48", "kernel_id": "9526441"}, {"ref": "narenvivek08/mnist-cnn", "kernel_id": "9820522"}, {"ref": "sanjayar/cnn-comparison-vgg-inception-xception", "kernel_id": "9798797"}, {"ref": "jamnik99/digit-recognizer-eda-fastai-cnn", "kernel_id": "9145371"}, {"ref": "vineetk/mnist", "kernel_id": "9381787"}, {"ref": "bpkapkar/digit-identifier-pytorch", "kernel_id": "9755311"}, {"ref": "meetcv/digit-recognition", "kernel_id": "9141289"}, {"ref": "medyasun/digit-recognizer-cnn-with-keras", "kernel_id": "9703655"}, {"ref": "etudiant233/neural-network-without-conv-layers-pytorch", "kernel_id": "9985092"}, {"ref": "mrumuly/supervised-vae-on-mnist", "kernel_id": "9034204"}, {"ref": "farhanreezaa/digit-recognizer", "kernel_id": "9804019"}, {"ref": "zhoufen/pytorch-with-dcgan-for-classification", "kernel_id": "9690914"}, {"ref": "murat2538/digit-recognizer", "kernel_id": "9489440"}, {"ref": "vishalrao2000/digit-recog-cnn", "kernel_id": "9056096"}, {"ref": "pmath001/dmvhacks-helyx-ai-workshop-day-2", "kernel_id": "9538045"}, {"ref": "saurabh1411/digit-recognizer-using-vgg19", "kernel_id": "9474716"}, {"ref": "saurabh1411/mnist-res-net", "kernel_id": "9477820"}, {"ref": "spiderweb3009/digit-recognizer", "kernel_id": "9885146"}, {"ref": "rajatkatiyar/kernel263fb25017", "kernel_id": "9057212"}, {"ref": "ntyagic/mnist-digit-recognition", "kernel_id": "9251955"}, {"ref": "muhammadumarfarrukh/digit-recogniser", "kernel_id": "9589131"}, {"ref": "noelmat/mnist-99-5-acc-with-less-than-8000-parameters", "kernel_id": "9149413"}, {"ref": "captaintyping/mnist-challenging-with-ml-conquering-with-dl", "kernel_id": "9556788"}, {"ref": "manthan9/digit-recognizer-manthan", "kernel_id": "9891767"}, {"ref": "bhavesh98/handwritten-text-recognition", "kernel_id": "9020881"}, {"ref": "elifnkaraca/cnn-for-digits", "kernel_id": "9801163"}, {"ref": "leogalbu/kernelf8fae817ba", "kernel_id": "9608247"}, {"ref": "bbyclub/mnist-digit-recognizer-ann-logistic-regression", "kernel_id": "9083621"}, {"ref": "andre13andre/digits-recognizer", "kernel_id": "9615316"}, {"ref": "blaxkdolphin/tpustarter-xla", "kernel_id": "9179431"}, {"ref": "arifintahu/pytorch-handwritten-digit-prediction", "kernel_id": "9704543"}, {"ref": "nusretgencal/digit-recognizer-example", "kernel_id": "9397025"}, {"ref": "amithasanshuvo/mnist-classification-using-tensorflow", "kernel_id": "9366478"}, {"ref": "amithasanshuvo/mnist-classification-with-scikit-learn-beginners", "kernel_id": "9406533"}, {"ref": "amithasanshuvo/digit-recognizer-using-cnn", "kernel_id": "9410569"}, {"ref": "nzhongahtan/beginner-classification-models", "kernel_id": "9813100"}, {"ref": "suryadeepti/digit-recognizer", "kernel_id": "9273788"}, {"ref": "prasadkumkar/extreme-learning-machine-example", "kernel_id": "9797982"}, {"ref": "ayushmankumar7/tensorflow-keras-convnet", "kernel_id": "9859245"}, {"ref": "balogi85/minst-dnn", "kernel_id": "9366384"}, {"ref": "batibayburak/update-97-76-accuracy-predictions-with-keras", "kernel_id": "9147381"}, {"ref": "soham1024/easy-learn-cnn-keras-99-81-accuracy", "kernel_id": "9041790"}, {"ref": "soham1024/basic-neural-network-from-scratch-in-python", "kernel_id": "9080374"}, {"ref": "soham1024/all-avaialable-visualizations", "kernel_id": "9351975"}, {"ref": "melihkacaman/digit-recognation", "kernel_id": "9329261"}, {"ref": "ouwyukha/dl-academy-nn-regularization", "kernel_id": "9487858"}, {"ref": "vivek8080/cnn-for-beginners-pytorch-0-9827", "kernel_id": "9101182"}, {"ref": "anyatrivedi/digit-recogniser", "kernel_id": "9713582"}, {"ref": "anubhabrick/mnist-sol", "kernel_id": "9394153"}, {"ref": "yehyachali/kemnist", "kernel_id": "9281452"}, {"ref": "sairahul98/mnist-using-cnn", "kernel_id": "9220632"}, {"ref": "smagni/kernel420be88e48", "kernel_id": "9527306"}, {"ref": "gphilmod/python-gpu-digit-recognizer", "kernel_id": "9413578"}, {"ref": "anhvle/digit-recognizer", "kernel_id": "9791761"}, {"ref": "shubhamdivakar/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "9525421"}, {"ref": "sripriya568/mnist-handwritten-digit-recognition", "kernel_id": "9522833"}, {"ref": "prateekarma/tensorflow-with-batch-normalization-and-dropout", "kernel_id": "9263289"}, {"ref": "prateekarma/keras-with-hyperparameter-tuning-sklearn", "kernel_id": "9327595"}, {"ref": "prateekarma/straightforward-implementation-of-softmax-on-mnist", "kernel_id": "9224583"}, {"ref": "prateekarma/visualizing-different-layers-of-a-cnn", "kernel_id": "9364941"}, {"ref": "yushg123/introduction-to-gans-with-keras", "kernel_id": "9649683"}, {"ref": "cthierfelder/mnist-digit-recognition", "kernel_id": "9180929"}, {"ref": "dbardhan/beginners-guide-to-cnns-99-47", "kernel_id": "9576497"}, {"ref": "saritablue/kernel3e10339659", "kernel_id": "9933981"}, {"ref": "schopenhacker75/use-pca-t-sne-encodings-as-additional-features", "kernel_id": "9121694"}, {"ref": "jiajun27/kaggle-digit-recognizer", "kernel_id": "9678543"}, {"ref": "minhngau2804/generative-adversial-network", "kernel_id": "9308024"}, {"ref": "aniruddhkb/dnn-in-keras", "kernel_id": "9166101"}, {"ref": "aniruddhkb/dnn-in-pytorch", "kernel_id": "9166703"}, {"ref": "aniruddhkb/visualizing-the-convolutional-layers-in-mnist", "kernel_id": "9296031"}, {"ref": "priyaranjanreddy/mnist", "kernel_id": "9163221"}, {"ref": "shalithapathiranage/kernela9fcf876db", "kernel_id": "9498050"}, {"ref": "dwayne99/mnist-pytorch", "kernel_id": "9820076"}, {"ref": "jagadeesh23/digit-recognizer-cnn-99-585", "kernel_id": "9468425"}, {"ref": "ashimdahal/neural-net-from-scratch-for-classifier", "kernel_id": "9949900"}, {"ref": "ashimdahal/digits-classifier-with-scikit-learn", "kernel_id": "9948216"}, {"ref": "nitbrok/short-and-simple-mnist-digit-recognizer", "kernel_id": "9128240"}, {"ref": "rahanapa/digitkernellatest", "kernel_id": "9622661"}, {"ref": "sadhun/cnn-with-different-optimizers", "kernel_id": "9194385"}, {"ref": "girijeshcse/interactive-intro-to-dimensionality-reduction", "kernel_id": "9238252"}, {"ref": "austinpowers/mnist-fastai-0-99500-accuracy-on-kaggle", "kernel_id": "9647467"}, {"ref": "anmspro/implementing-callbacks-fashion-mnist", "kernel_id": "9620397"}, {"ref": "anmspro/beyond-hello-world-dnn-fashion-mnist", "kernel_id": "9619842"}, {"ref": "anmspro/hello-world-of-deep-learning-with-neural-networks", "kernel_id": "9618836"}, {"ref": "pkalra001/exercise-deep-learning-from-scratch", "kernel_id": "9710273"}, {"ref": "pkalra001/exercise-dropout-and-strides-for-larger-models", "kernel_id": "9713760"}, {"ref": "kdecision/mnist-try", "kernel_id": "9076755"}, {"ref": "gb00000/keras-cnn-digit", "kernel_id": "9217405"}, {"ref": "soumyajit4419/simple-multilayer-cnn-99-10-accuracy", "kernel_id": "9046618"}, {"ref": "priyajais/digit-recognizer", "kernel_id": "9536541"}, {"ref": "priyajais/basic-implementation-cnn-and-keras-0-997-top-7", "kernel_id": "9584902"}, {"ref": "burnoutminer/reusable-template-classification", "kernel_id": "9602857"}, {"ref": "gabmansur/digit-recognizer", "kernel_id": "9474415"}, {"ref": "mahmoudima/cnn-he-normal-elu", "kernel_id": "9579036"}, {"ref": "mahmoudima/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "9581031"}, {"ref": "rgaur28/digit-recognizer-with-svm", "kernel_id": "9837886"}, {"ref": "pansofluck/custom-residual-network-keras-digits-recognition", "kernel_id": "9914401"}, {"ref": "berkeyilmaz/convolutional-neural-network-cnn", "kernel_id": "9972783"}, {"ref": "simonand/a-simple-notebook-with-99-5", "kernel_id": "9537829"}, {"ref": "an0utlier/digit-recognizer-using-cnn", "kernel_id": "9959337"}, {"ref": "souravkgoyal/truth-behind-achieving-100-accuracy", "kernel_id": "9353421"}, {"ref": "souravkgoyal/digit-recognizer-cnn-keras-top-3", "kernel_id": "9491978"}, {"ref": "destefanim/mnist", "kernel_id": "9196687"}, {"ref": "barindersingh/digit-recognizer-with-100-accuracy-with-keras", "kernel_id": "9154869"}, {"ref": "ahmedmedrah/mnist-using-cnn-data-augmentation-99-accuracy", "kernel_id": "9417410"}, {"ref": "shivank856/mnist-keras", "kernel_id": "9547992"}, {"ref": "kush1729/mnist", "kernel_id": "9449497"}, {"ref": "raphealjones/mnist-dataset", "kernel_id": "9964423"}, {"ref": "smiteshp/mnist-digits-cnn", "kernel_id": "9264149"}, {"ref": "manthanmotu/kernel1088cda66b", "kernel_id": "9163279"}, {"ref": "batjoker/mnist-pca-knn", "kernel_id": "9952159"}, {"ref": "souravkp14/digit-recognizer-data-augmentation", "kernel_id": "9684304"}, {"ref": "haresh1234/mnist", "kernel_id": "9353886"}, {"ref": "jbrummer/digit-recognizer-with-cnn", "kernel_id": "9496305"}, {"ref": "brunovpm/nn-with-regularization-keras-and-sklearn", "kernel_id": "9957775"}, {"ref": "saifahmadalig/mnist-cnn-keras-99-371", "kernel_id": "9258361"}, {"ref": "wuhao1996/digit-recognizer-with-cnn-in-keras", "kernel_id": "9484758"}, {"ref": "daenys2000/mnist-digit-recognition", "kernel_id": "9132153"}, {"ref": "thelonecoder/cnn-mnist", "kernel_id": "9729805"}, {"ref": "rajgupta5/digit-recognizer-cnn", "kernel_id": "9281724"}, {"ref": "sanghviss/mnist-digit-classification", "kernel_id": "9368296"}, {"ref": "dabawse/mnist", "kernel_id": "9411050"}, {"ref": "andradaolteanu/convolutional-neural-nets-cnns-explained", "kernel_id": "9267170"}, {"ref": "andradaolteanu/pytorch-rnns-and-lstms-explained-acc-0-99", "kernel_id": "9337929"}, {"ref": "kayadagli/introduction-to-convolutional-neural-network-cnn", "kernel_id": "9928244"}, {"ref": "technocoder/kernel5c75051d34", "kernel_id": "9263913"}, {"ref": "ndhpro/mnist-cnn-ensemble", "kernel_id": "9303840"}, {"ref": "balaka18/digit-recognition-challenge", "kernel_id": "9631806"}, {"ref": "talalhassan141/mnist-dataset-hogfe", "kernel_id": "9206685"}, {"ref": "urmisen1202/digit-recognizer-cnn-auc-100-0", "kernel_id": "9671849"}, {"ref": "avanijindal1804/mnist-digits", "kernel_id": "9462058"}, {"ref": "sidagar/digit-recogniser-using-pca-and-knn", "kernel_id": "9665951"}, {"ref": "sidagar/digit-recognizer-using-a-cnn", "kernel_id": "9989086"}, {"ref": "sidagar/digit-recognizer-using-simple-neural-network", "kernel_id": "9824549"}, {"ref": "sidagar/pca-explained-with-animated-visuals", "kernel_id": "9735035"}, {"ref": "prakash711/digit-recognizer-with-cnn", "kernel_id": "9255198"}, {"ref": "namanj27/beginner-code-top-2-solution", "kernel_id": "9870532"}, {"ref": "anandsubbu007/cnn-for-beginner-digit-recognition", "kernel_id": "9020805"}, {"ref": "sanyam83/digit-recognition-using-cnn", "kernel_id": "9495459"}, {"ref": "dmitri9149/pytorch-simple-model-s-from-scratch-v1", "kernel_id": "9146030"}, {"ref": "tavanesh4/mnist-dataset-with-deep-learning-cnn", "kernel_id": "9282987"}, {"ref": "ashkhagan/simple-tutorial-to-data-visulaization-bokehmodex", "kernel_id": "9426243"}, {"ref": "imspiedy/basic-cnn-in-tensorflow-accuracy-99", "kernel_id": "9421782"}, {"ref": "morenovanton/cnn-batchnormalization-and-data-addition-pca", "kernel_id": "9009055"}, {"ref": "morenovanton/data-supplement", "kernel_id": "9489763"}, {"ref": "layahaasini/digit-recognizer", "kernel_id": "9426972"}, {"ref": "sohamsave44/d1g1t-r3c0gn1zer", "kernel_id": "9003270"}, {"ref": "samprati97/digits-recognizer-using-keras-0-974-accuracy", "kernel_id": "9239361"}, {"ref": "doala0155/0-98-digit-recognizer-train-cnn-with-keras", "kernel_id": "9359434"}, {"ref": "michalbrezk/digit-recognizer-cnn-tensorflow-2-0-top-10", "kernel_id": "9904099"}, {"ref": "aritrasurroy/mnist-digit-classification-using-cnn", "kernel_id": "9434923"}, {"ref": "saumyaborwankar/final-digit", "kernel_id": "9039809"}, {"ref": "rhhassan/digit-clf", "kernel_id": "9303488"}, {"ref": "nagarajukuruva/cnn-keras-with-99", "kernel_id": "9055787"}, {"ref": "dilawarmahmood/mnist", "kernel_id": "9098882"}, {"ref": "falconcode/digit-recognizer-lenet5", "kernel_id": "9939984"}, {"ref": "sidharkal/digit-recognizer", "kernel_id": "9118888"}, {"ref": "gvsnikhilreddy/convolutional-neural-networks-eda", "kernel_id": "9627537"}, {"ref": "surinderdhawan/cnn-on-mnist-with-layer-visualization-0-993-acc", "kernel_id": "9753291"}, {"ref": "kanikakhattar/digit-recognizer-using-pca-and-svm", "kernel_id": "9142316"}, {"ref": "capcrox/digit-recognizer", "kernel_id": "9066011"}, {"ref": "shingosakamoto/cnn-trial", "kernel_id": "9075466"}, {"ref": "shingosakamoto/logistic-regression-beginner", "kernel_id": "9037453"}, {"ref": "gauravgawade951999/first-nn-work-with-mnist-cnn-by-keras", "kernel_id": "9728094"}, {"ref": "gneshkaggle/cnn-using-tensorflow", "kernel_id": "9207695"}, {"ref": "ishalgarg/digit-recognization-using-pytorch-convnet", "kernel_id": "9221318"}, {"ref": "ishalgarg/digit-encoder-dataset-using-pytorch-neuralnet", "kernel_id": "9168777"}, {"ref": "medhinishetty/digit-recognition", "kernel_id": "9056418"}, {"ref": "mohitmandlecha/fork-of-mnist-kernel", "kernel_id": "9128493"}, {"ref": "sudeshmate/handwrittendigitrecognizer", "kernel_id": "9045149"}, {"ref": "nishantpatyal/check-poor-predictions-manually-99-9", "kernel_id": "9206571"}, {"ref": "kevinelong/digits-basic-mlp", "kernel_id": "9085738"}, {"ref": "kevinelong/mnist-neural-network-visualization", "kernel_id": "9085749"}, {"ref": "aritrogg/digit-recognizer-using-cnn-with-tensorflow", "kernel_id": "9154091"}, {"ref": "mdmahmudferdous/load-pre-trained-cnn-model", "kernel_id": "9108499"}, {"ref": "anishghiya/top-3-score-0-99214-position-223-cnnmodel", "kernel_id": "9547077"}, {"ref": "hyuckjaerhee/cnn-mnist", "kernel_id": "9053673"}, {"ref": "prajwalsamarth/mnist-digit-recognition-using-data-augmentation", "kernel_id": "9569887"}, {"ref": "writuparnabanerjee/digit-recognizer", "kernel_id": "9806045"}, {"ref": "meet3010/cnn-on-mnist-dataset-using-lenet-5-architecture-98", "kernel_id": "9778838"}, {"ref": "meet3010/simple-cnn-on-mnist-dataset-getting-99-01", "kernel_id": "9733231"}, {"ref": "meet3010/cnn-on-mnist-dataset-maxpool-batchnormalization", "kernel_id": "9798340"}, {"ref": "mdediana/kernel-digital-recognizer", "kernel_id": "9613598"}, {"ref": "alisharifi2000/mnist-cnn", "kernel_id": "9935319"}, {"ref": "target3/digit-recognizer-1", "kernel_id": "9902733"}, {"ref": "bhupendergiri/25-million-images-0-99757-mnist", "kernel_id": "9419619"}, {"ref": "briansxu/digit-recognition-w-keras-cnn", "kernel_id": "9964670"}, {"ref": "outinimehdi/cnn-fine-tuning-classification-vgg-mobilenet", "kernel_id": "9068890"}, {"ref": "iamabhishekdas/pytorch-cnn-implementation-on-mnist-dataset", "kernel_id": "9791806"}, {"ref": "shashanknigam/getting-started-with-cnn", "kernel_id": "9011974"}, {"ref": "nikunjheda/digitrecognition-mnsit", "kernel_id": "9928843"}, {"ref": "yuhboi/digitrecognizer", "kernel_id": "9691076"}, {"ref": "ankitz007/digit-recognition-using-keras-99-657", "kernel_id": "9969688"}, {"ref": "prometheus172/exercise-deep-learning-from-scratch", "kernel_id": "9850983"}, {"ref": "kareem3egm/learn-machine-learning-faster-1", "kernel_id": "9271522"}, {"ref": "kapbi4/pytorch-mnist-0-99885-1-0000", "kernel_id": "9582481"}, {"ref": "fumioeihara/classification-by-fully-connected-and-cnn-20200503", "kernel_id": "9271257"}, {"ref": "imsanjoykb/tensorflow-cnn-digit-recognizer-solved", "kernel_id": "9114042"}, {"ref": "imsanjoykb/tensorflow-cnn-hand-digit-recognizer-solved", "kernel_id": "9111998"}, {"ref": "markmeyers/digit-recog-neural-net", "kernel_id": "9534021"}, {"ref": "markmeyers/digit-recog-rf-and-pca", "kernel_id": "9390006"}, {"ref": "elenavelychko/unsupervised-learning-with-som", "kernel_id": "9747619"}, {"ref": "eduardkonoplov/kernel-1", "kernel_id": "9474291"}, {"ref": "adeephande/mnist-kerascnn", "kernel_id": "9213852"}, {"ref": "neerajarora21dec/digit-classifier-tf", "kernel_id": "9289085"}, {"ref": "filippopietrobon/0-98757-simpler-cnn", "kernel_id": "9990529"}, {"ref": "shounakdesai/shounak-data-recognizer", "kernel_id": "9083488"}, {"ref": "hmdprs/exercise-deep-learning-from-scratch", "kernel_id": "9174147"}, {"ref": "hmdprs/exercise-dropout-and-strides-for-larger-models", "kernel_id": "9206750"}, {"ref": "ahmdtolba/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "9038702"}, {"ref": "devendra45/digit-prediction-using-cnn", "kernel_id": "9497255"}, {"ref": "devendra45/digit-recognizer-using-ann", "kernel_id": "9455590"}, {"ref": "mitceylan/titanicfunctioned", "kernel_id": "9172242"}, {"ref": "sofiamartinsson/digital-recorgnizer", "kernel_id": "9588646"}, {"ref": "madz2000/digit-recognizer-using-cnn-99-67-accuracy", "kernel_id": "9021815"}, {"ref": "parthp94/digit-cnn-final", "kernel_id": "9011146"}, {"ref": "pranav082001/beginner-digit-recognizer-keras-ffn", "kernel_id": "9821660"}, {"ref": "cerentahtasiz/mnsit-ceren", "kernel_id": "9392072"}, {"ref": "kaifujii/mnist", "kernel_id": "9105230"}, {"ref": "debayandutta/cnn-digit-recognizer-pytorch", "kernel_id": "9056433"}, {"ref": "davidmendes/exercise-dropout-and-strides-for-larger-models", "kernel_id": "9508929"}, {"ref": "davidmendes/exercise-deep-learning-from-scratch", "kernel_id": "9508169"}, {"ref": "shivamburnwal/digit-recognition-using-keras-99-accuracy", "kernel_id": "9314229"}, {"ref": "digvijayyadav/deep-learning-from-scratch", "kernel_id": "9470951"}, {"ref": "digvijayyadav/cnn-digit-recognizer", "kernel_id": "9627776"}, {"ref": "felixhaba/mlp-digit-recognizer", "kernel_id": "9156173"}, {"ref": "daniilgerasimenko/digit-recognizer-da-ml", "kernel_id": "9861207"}, {"ref": "prashantcodes/digit-recognizer", "kernel_id": "9371461"}, {"ref": "stealthflow/resnest-for-mnist", "kernel_id": "9451576"}, {"ref": "karthikpuranik/digit-recognizer-mnist", "kernel_id": "9999514"}, {"ref": "ktasome/mnist-classification-with-cnn", "kernel_id": "9056488"}, {"ref": "hogfeldt/mnist-cnn-notebook", "kernel_id": "9883436"}, {"ref": "garweetsresth/mnist-digit-recognition", "kernel_id": "9243747"}, {"ref": "shirishsharma/getting-into-the-top-10-with-a-score-of-0-996", "kernel_id": "9946831"}, {"ref": "michalskuba/kernel7c35e1a579", "kernel_id": "9556185"}, {"ref": "ramsyy/kernel47446de211", "kernel_id": "9042318"}, {"ref": "lhanburakzhan/digit-recognizer-prediction-model-with-keras-cnn", "kernel_id": "9131720"}, {"ref": "yamaimo/digit-recognizer-transfer-learning-using-resnet50", "kernel_id": "9589130"}, {"ref": "naokinnn/minist-original", "kernel_id": "9627583"}, {"ref": "sarasoueidan/11-02-soueidan-sequential", "kernel_id": "9854104"}, {"ref": "sarasoueidan/11-02-soueidan-cnn", "kernel_id": "9869658"}, {"ref": "mohdsadiq058/digit-recognizer", "kernel_id": "9498784"}, {"ref": "rungta/digit-recognizer-using-fast-ai", "kernel_id": "9477132"}, {"ref": "shubhankarsharma73/deep-learning-model-for-mnist-fashion-dataset", "kernel_id": "9060571"}, {"ref": "shivamsouravjha/cnn-for-noobs", "kernel_id": "9309487"}, {"ref": "guillermocampollo/digits-99-acc", "kernel_id": "9772249"}, {"ref": "cryptofox/mnist-using-pytorch", "kernel_id": "9004371"}, {"ref": "aishwaryapalit/digit-recognizer-using-cnn-top-17", "kernel_id": "9712805"}, {"ref": "juniehyun/random-forest-and-pca", "kernel_id": "9402036"}, {"ref": "sachinssingh/digit-recognition-cnn-keras", "kernel_id": "9056795"}, {"ref": "annabelled/mnist", "kernel_id": "9149877"}, {"ref": "abdurrehman458/digit-recog-98-acc-with-simple-model", "kernel_id": "9225251"}, {"ref": "rahulkumarpatro/mnist-digit-recognition", "kernel_id": "9074570"}, {"ref": "abdilatifssou/tutorial-into-cnn-keras-achieved-99-2", "kernel_id": "9615689"}, {"ref": "anuraggupta29/digit-recognizer-using-svm", "kernel_id": "9140899"}, {"ref": "junaidsaleem/knn-using-python", "kernel_id": "9288372"}, {"ref": "hassaanmaajid/the-code-bandits", "kernel_id": "9199990"}, {"ref": "alincijov/digital-numbers-cnn-numpy-from-scratch", "kernel_id": "9209313"}, {"ref": "levanchi/lenet-5", "kernel_id": "9438256"}, {"ref": "tachodril/kernel5884e55162", "kernel_id": "9753857"}, {"ref": "sushilraajau/mnist-dataset-prediction-using-keras", "kernel_id": "9419804"}, {"ref": "bryanafreeman/mnist-digit-recognizer-99", "kernel_id": "9480482"}, {"ref": "mohammedmurtuzalabib/mnist-ensemble-of-5-cnns-0-99742", "kernel_id": "9374108"}, {"ref": "mohdaltaf/kernel743843147a", "kernel_id": "9894364"}, {"ref": "pinakimishrads/exercise-dropout-and-strides-for-larger-models", "kernel_id": "9224358"}, {"ref": "pinakimishrads/exercise-deep-learning-from-scratch", "kernel_id": "9224071"}, {"ref": "timheller/mnist-digits-classifier", "kernel_id": "9233815"}, {"ref": "timheller/mnist-digits-classifier-v2", "kernel_id": "9267909"}, {"ref": "mohammadariyan/using-convolutional-nn-for-mnist-dataset", "kernel_id": "9235788"}, {"ref": "cbackes000/exercise-dropout-and-strides-for-larger-mo-99a230", "kernel_id": "9597663"}, {"ref": "cbackes000/exercise-deep-learning-from-scratch-79237c", "kernel_id": "9595980"}, {"ref": "joshwi/mlu-cv-final-project", "kernel_id": "9851143"}, {"ref": "ab2810/data-mnist", "kernel_id": "9999167"}, {"ref": "nicolapiovesan/cnn-for-mnist-dataset-classification", "kernel_id": "9339673"}, {"ref": "edkahara/fast-ai-v3-digit-recognizer", "kernel_id": "9997824"}, {"ref": "jwmyers82/msds422-assignment5", "kernel_id": "9368598"}, {"ref": "aryamanmishra/digit-recognizer-using-cnn", "kernel_id": "9740221"}, {"ref": "yasminehemmati/digit-recognizer", "kernel_id": "9552563"}, {"ref": "zhanyanzhu/digit-recognizer-svm", "kernel_id": "9917714"}, {"ref": "ruchirwalia/digit-recognizer-final", "kernel_id": "9526426"}, {"ref": "shivranjangupta/kernelabc478c138", "kernel_id": "9971367"}, {"ref": "taktakhi/cnn-categorical-reducing-learning-rate", "kernel_id": "9596099"}, {"ref": "starkk99/mnist-fingers-first", "kernel_id": "9868223"}, {"ref": "adhirajbhagawati/keras-basics-and-digit-recognizer", "kernel_id": "9903678"}, {"ref": "arashamd/alone-on-a-wide-wide-sea", "kernel_id": "9592339"}, {"ref": "robertogomes/digit-recognizer-0-99342", "kernel_id": "9901491"}, {"ref": "martin5959/3i0203-ui1", "kernel_id": "9702269"}, {"ref": "saemhasan/digit", "kernel_id": "9854874"}, {"ref": "tjiajun27/kaggle-digitrecognizer-dnn", "kernel_id": "9772227"}, {"ref": "abhimanyusethi/digits-recognizer", "kernel_id": "9864770"}, {"ref": "lucijaaher/kernel795edce6c7", "kernel_id": "9907375"}, {"ref": "raghavendrarao/beginner-s-guide-to-solve-mnist-99-4-top-20", "kernel_id": "10874400"}, {"ref": "liberifatali/mnist-with-pytorch-basic", "kernel_id": "10932097"}, {"ref": "loveall/digit-recognizer-using-cnn-99-accuracy", "kernel_id": "10620298"}, {"ref": "chriscc/fork-of-mnist-lenet-pytorch", "kernel_id": "10247007"}, {"ref": "kalashnimov/keras-cnn-with-99-6-acc", "kernel_id": "10844943"}, {"ref": "iamnibedita/mnist-digit-id-using-a-8-layer-nn", "kernel_id": "10845728"}, {"ref": "biyuyang/digit-recognizer-hands-on-ml-chapter-3-learning", "kernel_id": "10509470"}, {"ref": "hmendonca/mnist-pytorch-lightning-gpu-demo", "kernel_id": "10367186"}, {"ref": "sijunhe9248/mnist-vs-inverted-mnist", "kernel_id": "10260800"}, {"ref": "vishalkediya/cnn-with-mnsit-dataset", "kernel_id": "10688984"}, {"ref": "himelbarua/deep-learning-for-starter-handwriting-recognition", "kernel_id": "10576237"}, {"ref": "mksaad/mnist-digit-recognizer-cnn", "kernel_id": "10719118"}, {"ref": "socathie/mnist-w-vgg16", "kernel_id": "10865688"}, {"ref": "socathie/mnist-w-resnet-and-data-augmentation", "kernel_id": "10851833"}, {"ref": "socathie/mnist-w-fg-unet", "kernel_id": "10831177"}, {"ref": "socathie/multiple-model-ensemble", "kernel_id": "10939062"}, {"ref": "sanjayiyengar/digit-recognizer-0-99430", "kernel_id": "10691123"}, {"ref": "mmadkour/visualizing-mnist-using-a-variational-autoencoder", "kernel_id": "10407414"}, {"ref": "amanlp7/digit-recognizer", "kernel_id": "10474313"}, {"ref": "uuiodo/mnist-resnet", "kernel_id": "10558223"}, {"ref": "linykc/digit-recognizer", "kernel_id": "10899916"}, {"ref": "linykc/fish-detection", "kernel_id": "10880365"}, {"ref": "harshaldalvi007/cnn-architecture-keras", "kernel_id": "10253484"}, {"ref": "taimour/digit-recognizer-competition", "kernel_id": "10343240"}, {"ref": "vsevicky/cnn-basic", "kernel_id": "10947580"}, {"ref": "mkbond777/digit-recognition", "kernel_id": "10724891"}, {"ref": "ar90ngas/mnist-efficientnet", "kernel_id": "10525999"}, {"ref": "ar90ngas/pytorch-xla-cnn", "kernel_id": "10826550"}, {"ref": "okazaki0608/prediction-by-scikit-learn-keras", "kernel_id": "10772949"}, {"ref": "akhilgupta/digit-recognition-using-cnn-and-augmentaion-99", "kernel_id": "10307437"}, {"ref": "tappeikawasaki/kernel7b6e52f067", "kernel_id": "10465890"}, {"ref": "returnofsputnik/mnist-2d-t-sne-with-fit-sne-cpu-only", "kernel_id": "10822300"}, {"ref": "sandeepkumarkushwaha/exercise-deep-learning-from-scratch", "kernel_id": "10647609"}, {"ref": "joydeb28/data-science-cheatsheet", "kernel_id": "10070695"}, {"ref": "sanikamal/digit-recognition-eda-viz-gradienttape", "kernel_id": "10728166"}, {"ref": "maheswarareddyp/m-study-imageclassification", "kernel_id": "10945675"}, {"ref": "gunnep/mnist-challenge", "kernel_id": "10271770"}, {"ref": "ihelon/pytorch-efficientnet-cutout-augmentation", "kernel_id": "10394678"}, {"ref": "arbazkhan971/image-classification-using-cnn-94-accuracy", "kernel_id": "10626936"}, {"ref": "bondrewd/kernel-test", "kernel_id": "10340297"}, {"ref": "veb101/mnist-cnn", "kernel_id": "10439289"}, {"ref": "abnerneves/cnn-simples-com-keras-para-iniciantes-abner", "kernel_id": "10974991"}, {"ref": "funxexcel/p1-digit-recognizer-basic-model", "kernel_id": "10805876"}, {"ref": "iestarie/exercise-dropout-and-strides-for-larger-models", "kernel_id": "10545796"}, {"ref": "shashwatwork/hello-world-with-mnist", "kernel_id": "10266915"}, {"ref": "dohaessam22/kernel22c0752d3d", "kernel_id": "10764039"}, {"ref": "ryanliwag1/pytorch-mnist-cnn", "kernel_id": "10759072"}, {"ref": "ryanliwag1/pytorch-mnist-mlp", "kernel_id": "10522852"}, {"ref": "brenootsuka/kernel3d4343233c", "kernel_id": "10799576"}, {"ref": "brenootsuka/cnn-for-digit-classification", "kernel_id": "10783452"}, {"ref": "sahilsingla/digit-recognizer", "kernel_id": "10276707"}, {"ref": "bibhudas/digit-recognizer", "kernel_id": "10202679"}, {"ref": "saraivaufc/digit-recognizer-using-simple-cnn-top-16", "kernel_id": "10352760"}, {"ref": "vishnu123/digits-recognizer-with-99-30-acc", "kernel_id": "10394297"}, {"ref": "vishnu123/digits-recognizer-with-99-775-acc-top-5", "kernel_id": "10414635"}, {"ref": "yahoodep/easy-way-to-get-great-score-mnist-dataset", "kernel_id": "10577244"}, {"ref": "mohitduklan/simplest-keras-model", "kernel_id": "10487256"}, {"ref": "mohitduklan/tsne-callback-datagenerator", "kernel_id": "10614116"}, {"ref": "kaushalk/digit-recognition-cnn", "kernel_id": "10266482"}, {"ref": "vardaanbajaj/illustration-of-pca-through-mnist-dataset", "kernel_id": "10925222"}, {"ref": "apocalypse535/mnist", "kernel_id": "10848069"}, {"ref": "chaitanyamadaka/exercise-deep-learning-from-scratch", "kernel_id": "10650656"}, {"ref": "chaitanyamadaka/exercise-dropout-and-strides-for-larger-models", "kernel_id": "10651500"}, {"ref": "abhisingh1/digit-recognizer-cnn", "kernel_id": "10722778"}, {"ref": "aksr27/mnist-digit-recognizer", "kernel_id": "10158657"}, {"ref": "slm37102/0-9955-using-diff-arch-of-cnn-in-mnist-fastai-v1", "kernel_id": "10774499"}, {"ref": "jaishanker/digit-recognition-using-cnn-model", "kernel_id": "10965808"}, {"ref": "apoorvyadav/digit-clf-mlp", "kernel_id": "10442355"}, {"ref": "apoorvyadav/digit-clf-cnn", "kernel_id": "10493733"}, {"ref": "tarakndutta/digit-recognizer-cnn", "kernel_id": "10673437"}, {"ref": "anhtu96/digit-recognizer-with-simple-neural-network", "kernel_id": "10370534"}, {"ref": "anhtu96/digit-recognizer-with-cnn", "kernel_id": "10594850"}, {"ref": "divyakamat/mnist-cnn", "kernel_id": "10455838"}, {"ref": "divyakamat/mnist-feed-forward", "kernel_id": "10455753"}, {"ref": "divyakamat/mnist-fine-tuned-cnn", "kernel_id": "10463647"}, {"ref": "parthplc/datascience-blogs-p1-t-sne", "kernel_id": "10567905"}, {"ref": "vithal2311/simple-digit-recognizer-code-cnn", "kernel_id": "10934751"}, {"ref": "aritrag/mnist-demo", "kernel_id": "10941180"}, {"ref": "darkcore/prediction-with-cnn", "kernel_id": "10881722"}, {"ref": "puzzleleaf/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "10363955"}, {"ref": "vermavinay982/cnn-version-tf-digit-recognizer", "kernel_id": "10510302"}, {"ref": "jvdahemad/mnist-with-keras-99-72-acc-top-7", "kernel_id": "10855808"}, {"ref": "willnn/simple-cnn-explanation", "kernel_id": "10163033"}, {"ref": "harshaggarwal7/digit-recognition-eda-neural-networks", "kernel_id": "10722501"}, {"ref": "tasneemkapadia/digit-recognizer-using-tensorflow-my-first", "kernel_id": "10094856"}, {"ref": "argaadya/nn-learning", "kernel_id": "10282804"}, {"ref": "mukutkhandelwal/digit-recgonizer-99-05-score", "kernel_id": "10352343"}, {"ref": "cdefreitas/mnist-digit-recognition", "kernel_id": "10793146"}, {"ref": "somilrastogi/digit-recognizer", "kernel_id": "10221740"}, {"ref": "maskaravivek/mnist-simple-2-layer-neural-network", "kernel_id": "10857869"}, {"ref": "vitkov/digit-recognizer-kaggle", "kernel_id": "10291093"}, {"ref": "maryamgaber/mnist-classification", "kernel_id": "10754931"}, {"ref": "arideno/mnist-99-99", "kernel_id": "10078396"}, {"ref": "reviveer/faster-training-using-pca", "kernel_id": "10820367"}, {"ref": "grt2707/kernel244d18d295", "kernel_id": "10168081"}, {"ref": "grt2707/kernel6bee62d023", "kernel_id": "10168874"}, {"ref": "susantotm/digit-recognizer", "kernel_id": "10539678"}, {"ref": "imeintanis/cnn-track-your-experiments-weights-biases", "kernel_id": "10996890"}, {"ref": "imeintanis/tutorial-cnn-keras-hyper-parameter-opt-w-b-p2", "kernel_id": "10997389"}, {"ref": "doncovkonstantin/cnn-with-lr-cosine-annealing-and-model-checkpoints", "kernel_id": "10425390"}, {"ref": "mohaliy2016/digit-classification", "kernel_id": "10345823"}, {"ref": "parikshitsaikia1619/mnist-pytorch-simple-approach", "kernel_id": "10741772"}, {"ref": "ocakhsn/digit-recognition-convolutional-neural-networks", "kernel_id": "10125411"}, {"ref": "subinium/dimension-reduction-1-pca", "kernel_id": "10913040"}, {"ref": "subinium/dimension-reduction-3-t-sne", "kernel_id": "10935925"}, {"ref": "subinium/dimension-reduction-4-umap", "kernel_id": "10936078"}, {"ref": "subinium/dimension-reduction-2-lda", "kernel_id": "10935697"}, {"ref": "okeaditya/tensorflow-2-x-style-cnn-in-pytorch", "kernel_id": "10878383"}, {"ref": "okeaditya/mixed-precision-training-using-pytorch-1-6", "kernel_id": "10969558"}, {"ref": "chandakanish7/digit-recognizer", "kernel_id": "10517389"}, {"ref": "hrupam/digit-recognizer-using-svm-accuracy-0-97", "kernel_id": "10061460"}, {"ref": "pushkarasharma11/mnist-digit-recognizatiom", "kernel_id": "10653000"}, {"ref": "aastha6/kernel14ce24f639", "kernel_id": "10871609"}, {"ref": "kmldas/mnist-generative-adverserial-networks-in-pytorch", "kernel_id": "10592213"}, {"ref": "kmldas/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10574310"}, {"ref": "victoriya99/ensemble-of-6-cnn-acc-0-997", "kernel_id": "10660222"}, {"ref": "zrthxn/torch-demo", "kernel_id": "10934190"}, {"ref": "dhruvagg/mnist-competition-keras-model-with-cnn", "kernel_id": "10781452"}, {"ref": "efradgamer/gradient-calculation-in-pytorch-forward-backward", "kernel_id": "10180080"}, {"ref": "efradgamer/model-pipeline-in-pytorch", "kernel_id": "10181892"}, {"ref": "efradgamer/basic-tensor-in-pytorch", "kernel_id": "10178010"}, {"ref": "jamiil92/digit-recognizer-jami", "kernel_id": "10208397"}, {"ref": "vishal121/mnist-digit-recogniser", "kernel_id": "10332918"}, {"ref": "andreylh/simple-cnn", "kernel_id": "10335710"}, {"ref": "indronil2489/digit-recognizer-using-neural-networks", "kernel_id": "10119606"}, {"ref": "yushg123/filtering-noisy-images-with-nns-autoencoders", "kernel_id": "10351141"}, {"ref": "vtaquet/cnn-for-mnist-dataset", "kernel_id": "10975504"}, {"ref": "bencbenc/introduction-to-cnn-using-tensorflow-keras", "kernel_id": "10255920"}, {"ref": "bencbenc/exercise-intro-to-cnn-with-tensorflow-keras", "kernel_id": "10251177"}, {"ref": "muhammetcakmak/ann-model-with-hyperparameter-optimization", "kernel_id": "10323926"}, {"ref": "muhammetcakmak/ann-workshop-with-digit-recognizer", "kernel_id": "10314736"}, {"ref": "harsh368/mnist-digit-recognizer-keras-tuner", "kernel_id": "10650319"}, {"ref": "harsh368/dimention-reduction", "kernel_id": "10761733"}, {"ref": "harsh368/mnist-with-keras", "kernel_id": "10751731"}, {"ref": "gordotron85/introduction-to-cnn-with-mnist", "kernel_id": "10762457"}, {"ref": "sawantvishwajeet729/mnist-digit-classifier", "kernel_id": "10253039"}, {"ref": "sawantvishwajeet729/mnist-digit-classifier-using-hog-transforma-and-sv", "kernel_id": "10822542"}, {"ref": "baradaprasad/kernel2ae9e71971", "kernel_id": "10731948"}, {"ref": "rubustjay/digit-efficientnet-b2", "kernel_id": "10722818"}, {"ref": "turksoyomer/pytorch-tutorial-on-mnist-dataset", "kernel_id": "10395848"}, {"ref": "amanymounas/digits-cnn-99-33", "kernel_id": "10780539"}, {"ref": "lulzseq/tensorflow-mnist-accuracy-99-542", "kernel_id": "10987682"}, {"ref": "redwankarimsony/mnist-cnn-callbacks-visualizations", "kernel_id": "10367301"}, {"ref": "sahaabhi/cnn-digit-mnist", "kernel_id": "10989246"}, {"ref": "victorvianaom/image-classification-traditional-machine-learning", "kernel_id": "10335546"}, {"ref": "victorvianaom/image-classification-using-neural-networks", "kernel_id": "10317630"}, {"ref": "victorvianaom/image-classification-using-cnns", "kernel_id": "10318404"}, {"ref": "yashsks24/kernel7fa4cd3c62", "kernel_id": "10998952"}, {"ref": "yldzqj/digit-recognizer-using-alexnet-in-pytorch", "kernel_id": "10289039"}, {"ref": "hopereal/writting", "kernel_id": "10036156"}, {"ref": "hassanms/digit-recognizer-computer-vision", "kernel_id": "10837472"}, {"ref": "aizardar/mnist-cnn", "kernel_id": "10339700"}, {"ref": "jitenderkahlon/optimized-cnn-with-hyperparameter-tuning-0-99-acc", "kernel_id": "10302928"}, {"ref": "iamsomiljain/digit-recognization-rmsprop", "kernel_id": "10000832"}, {"ref": "aaroha33/digit-recognizer", "kernel_id": "10136637"}, {"ref": "aku0810/digit-recognizer", "kernel_id": "10373804"}, {"ref": "abhinavtalari/intel-image-classifier", "kernel_id": "10279200"}, {"ref": "abhishekpundir/digits-recognizer", "kernel_id": "10131664"}, {"ref": "tejubhat123/dimensionality-reduction-pca-tutorial-and-t-sne", "kernel_id": "10499680"}, {"ref": "rahulbordoloi/digit-recognizer", "kernel_id": "10988912"}, {"ref": "mushaya/digit-recog", "kernel_id": "10008635"}, {"ref": "cdaman/digit-recognizer", "kernel_id": "10337468"}, {"ref": "kotlanikhil222/digit-recognizer", "kernel_id": "10849672"}, {"ref": "gpdsec/mnist", "kernel_id": "10938950"}, {"ref": "sdhudan/digit-classifier-nn-cnn-dataaugmentation-0-98996", "kernel_id": "10144317"}, {"ref": "umer7267/kernel47ad5e7d2e", "kernel_id": "10326096"}, {"ref": "hod101s/mnist-99-79-accuracy-tensorflow-bagging-dataaug", "kernel_id": "10327285"}, {"ref": "saisamyukta/introduction-to-cnn-using-keras-0-99", "kernel_id": "10288908"}, {"ref": "shehataa/digit-recognizer", "kernel_id": "10599759"}, {"ref": "ngvighnesh/simple-lenet-5-architecture-with-model-image", "kernel_id": "10161662"}, {"ref": "ansh422/digirecognizer", "kernel_id": "10741275"}, {"ref": "ckay16/simple-cnn-digit-recognizer-99-3-accuracy", "kernel_id": "10679256"}, {"ref": "thelastprime/mnist-15-cnn-ensemble-0-99664", "kernel_id": "10416457"}, {"ref": "sjstarkiller/digit-recognizer-using-keras", "kernel_id": "10330562"}, {"ref": "diasctiago/digit-recognizer-td", "kernel_id": "10416016"}, {"ref": "kamlesh1102/digit-recognizer-using-tensorflow", "kernel_id": "10671992"}, {"ref": "bilel09/digit-recognizer-parameters-tuning", "kernel_id": "10851365"}, {"ref": "ligtfeather/introduction-to-fastai", "kernel_id": "10953593"}, {"ref": "t4t5u0/kernel5f1561a82e", "kernel_id": "10394490"}, {"ref": "t4t5u0/kernel4c811b3d6d", "kernel_id": "10365330"}, {"ref": "t4t5u0/kernel56763ee529", "kernel_id": "10452658"}, {"ref": "pratikpatil13/mnist-top-15-99-54-accuracy", "kernel_id": "10753340"}, {"ref": "subbhashit/mnist-digit-recognizer", "kernel_id": "10304914"}, {"ref": "sahil2398/mnist-digit-recognizer-keras-tuner", "kernel_id": "10640524"}, {"ref": "sahil2398/mnist-digits-using-cnn", "kernel_id": "10626666"}, {"ref": "sahil2398/mnist-digits-using-adv-model", "kernel_id": "10686186"}, {"ref": "abhijeetbhilare/digit-recognition-98-88", "kernel_id": "10719412"}, {"ref": "anirudhachal/digit-recognizer", "kernel_id": "10237511"}, {"ref": "nojinoji/digit-recognizer", "kernel_id": "10678753"}, {"ref": "ayushsood65/mnist-ayushnotebook", "kernel_id": "10544355"}, {"ref": "maziprimareza/digit-recognition-with-cnn", "kernel_id": "10033229"}, {"ref": "koushik2511/kernel29948b027e", "kernel_id": "10826734"}, {"ref": "shafkatrahman/kernel445a20b030", "kernel_id": "10344380"}, {"ref": "mosharofhossen/digit-recognizer-cnn-top-10-position", "kernel_id": "10722556"}, {"ref": "hamiddd/final-test-cnn", "kernel_id": "10345020"}, {"ref": "hamiddd/test-cnn", "kernel_id": "10345485"}, {"ref": "keshavmandal/mnsit-using-cnn-and-augmentation", "kernel_id": "10758464"}, {"ref": "mustisid/digit-predection", "kernel_id": "10895973"}, {"ref": "junaidcharaniya/digit-recognizer-ensemble-learning", "kernel_id": "10226967"}, {"ref": "junaidcharaniya/digit-recognizer-neural-network", "kernel_id": "10227011"}, {"ref": "singhshresth/mnist-99-accuracy", "kernel_id": "10680298"}, {"ref": "airbender/kernel4683e84869", "kernel_id": "10556641"}, {"ref": "sanathnair09/digit-recognizer", "kernel_id": "10754230"}, {"ref": "nike0good/knn-for-mnist", "kernel_id": "10390893"}, {"ref": "cabetop/proyecto-1-computacion-emergente", "kernel_id": "10173089"}, {"ref": "havinath/digit-recognizer-using-resnet50-in-pytorch", "kernel_id": "10302287"}, {"ref": "waelkh/digits-recognizer-with-restnet", "kernel_id": "10565733"}, {"ref": "manuelmendoza/resnet-18-for-mnist-prediction", "kernel_id": "10192233"}, {"ref": "seemanegi/mnist-datasets", "kernel_id": "10333704"}, {"ref": "vchauhanusf/96-78-accuracy-simple-model", "kernel_id": "10022769"}, {"ref": "oppsece/exercise-deep-learning-from-scratch", "kernel_id": "10628401"}, {"ref": "oppsece/exercise-dropout-and-strides-for-larger-models", "kernel_id": "10631486"}, {"ref": "nishakr/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604268"}, {"ref": "shauryaa117/ensemble-learning-digit-recognizer", "kernel_id": "10349429"}, {"ref": "surajkum1198/digitrecognizer-using-cnn-top-20", "kernel_id": "10058467"}, {"ref": "shazol/mnist-digit-classification", "kernel_id": "10872126"}, {"ref": "chinmaymaganur/first-cnn-model", "kernel_id": "10727117"}, {"ref": "vamsikurapati/handwritten-digits", "kernel_id": "10798779"}, {"ref": "palakpatwa/mnist-data-using-svm", "kernel_id": "10518953"}, {"ref": "kumaran1992/digit-recognizer-prediction", "kernel_id": "10853718"}, {"ref": "prishamu/exercise-dropout-and-strides-for-larger-models", "kernel_id": "10545370"}, {"ref": "prishamu/exercise-deep-learning-from-scratch", "kernel_id": "10545024"}, {"ref": "mintlemon/digit-recognizer-cnn", "kernel_id": "10999655"}, {"ref": "aibeats/digit-recognizer-knn-manual-implementation", "kernel_id": "10872492"}, {"ref": "aibeats/digit-recognizer-knn-sklearn", "kernel_id": "10804075"}, {"ref": "elvinagammed/keras-99", "kernel_id": "10964993"}, {"ref": "bgov600/very-basic-model-for-mnsit-datasetwih-98-acc", "kernel_id": "10700754"}, {"ref": "kothandaramans/digit-recognizer", "kernel_id": "10414476"}, {"ref": "simo333/digit-recog", "kernel_id": "10965883"}, {"ref": "ansh8755/digit-recognizer-classification-model", "kernel_id": "10245854"}, {"ref": "prakashjiban/keras-cnn-vs-simple-neural-network-98-acc", "kernel_id": "10830300"}, {"ref": "luizfernandogontijo/minist-competition", "kernel_id": "10124639"}, {"ref": "ahmedabolfadl/kernel76d58b0432", "kernel_id": "10580570"}, {"ref": "niksapraljak/mnist-activation-maps", "kernel_id": "10695343"}, {"ref": "subhamp7/kaggle-mnist-cnn-accuracy-99-top-5", "kernel_id": "10267414"}, {"ref": "lgreig/basic-cnn", "kernel_id": "10701644"}, {"ref": "lgreig/using-vgg16-for-mnist-in-keras-gpu", "kernel_id": "10770776"}, {"ref": "yashbhavsar99/using-keras", "kernel_id": "10390737"}, {"ref": "malicksene/my-mnist-challenge", "kernel_id": "10179697"}, {"ref": "wesleyneill/implementing-lenet-5-with-adam-and-decay", "kernel_id": "10403617"}, {"ref": "nanangkasim/cnn-with-tensorflow-keras-on-mnist", "kernel_id": "10407722"}, {"ref": "kartml/kernel6b8230ea25", "kernel_id": "10224054"}, {"ref": "prakharjain1608/kernel3317e9e229", "kernel_id": "10577210"}, {"ref": "mominqureshi/mnist", "kernel_id": "10086231"}, {"ref": "abhishekprajapat/t-sne-vs-pca", "kernel_id": "10107312"}, {"ref": "ahmedazabnasr/digit-recoginition-training", "kernel_id": "10690092"}, {"ref": "aczy156/digit-recognizer-data-argumentation-cnn", "kernel_id": "10828001"}, {"ref": "agsam23/pca-vs-t-sne", "kernel_id": "10589297"}, {"ref": "thirunayandinesh/mnist-classifcation-convnets", "kernel_id": "10550356"}, {"ref": "imakaruamikurah/digit-recognizer", "kernel_id": "10486299"}, {"ref": "guilhermesdas/mnist-digit-classification-lenet5", "kernel_id": "10925345"}, {"ref": "frankmollard/inception-v4", "kernel_id": "10848291"}, {"ref": "sadiyasyed/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604232"}, {"ref": "prafullnayan/digit-recognizer-using-cnn-accuracy-0-9924", "kernel_id": "10698957"}, {"ref": "ismailkaya83/ann-model-and-optimization", "kernel_id": "10325626"}, {"ref": "johntgz/mnist-cnn-2", "kernel_id": "10854841"}, {"ref": "yanghuml/digset-v1", "kernel_id": "10774453"}, {"ref": "anarthal/mnist-digit-recognition-transfer-learning-cnn", "kernel_id": "10917390"}, {"ref": "anarthal/mnist-digit-recognition-plain-network-in-keras", "kernel_id": "10901055"}, {"ref": "archanghosh/deep-cnn-using-tensorflow", "kernel_id": "10762909"}, {"ref": "yashguptaab99/digit-recognizer", "kernel_id": "10435922"}, {"ref": "ananysharma/digit-recognizer", "kernel_id": "10482686"}, {"ref": "austinlyons/mnist-classifier-example", "kernel_id": "10456060"}, {"ref": "espsiyam/mnist-advance", "kernel_id": "10666792"}, {"ref": "shakirulhasan/digitrecognizer", "kernel_id": "10319318"}, {"ref": "akhilkasare/digit-recognizer-with-99-accuracy-and-tuning", "kernel_id": "10861423"}, {"ref": "damoonshahhosseini/digitrec", "kernel_id": "10869544"}, {"ref": "saswatsarangi99/mnist-dataset-99-24-accuracy", "kernel_id": "10843606"}, {"ref": "ankitz007/ensemble-learning-with-99-685", "kernel_id": "10016110"}, {"ref": "cyberl0rd/handwritten-digit-recognization", "kernel_id": "10242261"}, {"ref": "sksahidulislam/mnist-digit-recognizer", "kernel_id": "10048979"}, {"ref": "ahmetfurkandemr/digit-recognizer-mnist", "kernel_id": "10118817"}, {"ref": "sornaswetha/digit-recognizer-cnn", "kernel_id": "10412407"}, {"ref": "kenkpixdev/pytorch-mnist", "kernel_id": "10485775"}, {"ref": "mannsaradva/digit-recognizer", "kernel_id": "10037074"}, {"ref": "shilpisirohi/digit-recognizer", "kernel_id": "10353365"}, {"ref": "kumarranjankamila/applied-machine-learning", "kernel_id": "10708575"}, {"ref": "jaiminp/digit-recognition-mnist", "kernel_id": "10876363"}, {"ref": "ashishkumarpanigrahy/mnist-predict", "kernel_id": "10121241"}, {"ref": "subhojitsaha/digit-recognition", "kernel_id": "10343761"}, {"ref": "rohandixit/digit-recognizer-mnist", "kernel_id": "10122384"}, {"ref": "farji402/building-cnn-with-mnist-0-99528", "kernel_id": "10980644"}, {"ref": "atifrahman/kernel7460553d55", "kernel_id": "10870520"}, {"ref": "itsdivya/digit-recogniser-cnn-approx-0-98-accuracy", "kernel_id": "10432863"}, {"ref": "myasiny/numero-digit-recognition", "kernel_id": "10959700"}, {"ref": "arushii/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604208"}, {"ref": "muhammetcimci/digit-recog-with-ann", "kernel_id": "10316529"}, {"ref": "muhammetcimci/digit-recognizer-with-ann-keras", "kernel_id": "10308624"}, {"ref": "muhammetcimci/digit-recognizer-with-cnn-layers", "kernel_id": "10439728"}, {"ref": "pauldubois/basic-classifiers-vs-cnn", "kernel_id": "10163494"}, {"ref": "aycancal/exercise-deep-learning-from-scratch", "kernel_id": "10921527"}, {"ref": "aycancal/exercise-dropout-and-strides-for-larger-models", "kernel_id": "10942842"}, {"ref": "kushagrakinjawadekar/handwrittendigit-recognition", "kernel_id": "10972425"}, {"ref": "vivekhn/cnn-98-57-accuracy-in-5-epochs", "kernel_id": "10490382"}, {"ref": "zeeniye/simple-digit-recog-mnist-z", "kernel_id": "10050741"}, {"ref": "johnryu/mnist-cnn-korean", "kernel_id": "10994716"}, {"ref": "eclipser33/mnist-with-pytorch-0-994", "kernel_id": "10794435"}, {"ref": "kirillklyukvin/digit-recognizing-competition", "kernel_id": "10680645"}, {"ref": "atanuchowdhury/mnist", "kernel_id": "10775186"}, {"ref": "nidhaypancholi/recognizing-digits", "kernel_id": "10594398"}, {"ref": "venkateshdharmaraj/digit-recogonizer-using-keras-and-cnn", "kernel_id": "10580089"}, {"ref": "jeffersonfreire/using-pytorch", "kernel_id": "10397784"}, {"ref": "atharvaj77/cnn-for-digit-identification-using-mnist-dataset", "kernel_id": "10995984"}, {"ref": "mrhippo/data-science-notes5-deep-learning-ann", "kernel_id": "10837911"}, {"ref": "janmejaisingh/basics-of-image-denoising-using-autoencoders", "kernel_id": "10572596"}, {"ref": "namansood/digit-recognizer-convolutional-nn", "kernel_id": "10340524"}, {"ref": "umang09/cnn-digit", "kernel_id": "10800552"}, {"ref": "berkaykurhan/digit-recognizer-cnn", "kernel_id": "10486471"}, {"ref": "berkaykurhan/digit-recogniser-ann", "kernel_id": "10461230"}, {"ref": "burhangarari/intro-to-computer-vision", "kernel_id": "10063354"}, {"ref": "ntutjames/final-keras-digit-recognizer", "kernel_id": "10322759"}, {"ref": "ntutjames/final-digital-recognizer", "kernel_id": "10112861"}, {"ref": "shellymathur/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604238"}, {"ref": "shivambhardwaj0101/digit-recognizer-easy-implementation", "kernel_id": "10097920"}, {"ref": "shivambhardwaj0101/digit-recognizer-cnn", "kernel_id": "10106631"}, {"ref": "sumittak/digit-recognizer-with-simple-cnn", "kernel_id": "10632565"}, {"ref": "jairammohan/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604151"}, {"ref": "arindambaruah/mnist-using-ann", "kernel_id": "10329829"}, {"ref": "jamesd5/cnn-walkthrough", "kernel_id": "10408151"}, {"ref": "sayantankarmakar/mnist-digit-recognizer-pytorch-cnn", "kernel_id": "10057348"}, {"ref": "rajabhi1/kernel5a6ddd5e48", "kernel_id": "10862857"}, {"ref": "vikasbhadoria/mnist-data-99-5-accuracy-using-pytorch", "kernel_id": "10196004"}, {"ref": "dmkravtsov/1-0-digits", "kernel_id": "10535974"}, {"ref": "ratul6/digit-recognizer-using-cnn-99-accuracy", "kernel_id": "10625685"}, {"ref": "ratul6/mnist-digit-classification-with-99-7-accuracy", "kernel_id": "10796340"}, {"ref": "mustang007/mnist-digits", "kernel_id": "10522496"}, {"ref": "bethanyconnolly/digit-recogniser-cnn-and-data-plotting", "kernel_id": "10571503"}, {"ref": "gauravsahani/mnist-digit-recognizer-beginner-s-approach-99-10", "kernel_id": "10070449"}, {"ref": "shubhamchauda/digit-recogizer", "kernel_id": "10737286"}, {"ref": "rodrimc/revisiting-cnns-with-keras", "kernel_id": "10595707"}, {"ref": "timmccabe/kernel48218b2136", "kernel_id": "10400192"}, {"ref": "mohitkaushik12/cnn-keras", "kernel_id": "10464334"}, {"ref": "junooolee/practice-cnn-keras", "kernel_id": "10427138"}, {"ref": "kimsohyeons/20200701-cnn-keras-kimsohyeon", "kernel_id": "10427008"}, {"ref": "keletsomaleka/kernel6de864aa6f", "kernel_id": "10419805"}, {"ref": "sankha1998/hyperparameter-tuning-of-knn", "kernel_id": "10343611"}, {"ref": "arslanbajwa/digit-recognition-ml", "kernel_id": "10078274"}, {"ref": "priscilatamang/2-in-1-kaggle-digit", "kernel_id": "10203013"}, {"ref": "maxmar/random-forest-to-recognize-image", "kernel_id": "10934618"}, {"ref": "t105360710/digital-recorgnizer", "kernel_id": "10112401"}, {"ref": "nandakishore323/mnist", "kernel_id": "10223690"}, {"ref": "mushfiqurrobin/digit-recognition", "kernel_id": "10028407"}, {"ref": "palashiitk/digitrecognizer-using-svc", "kernel_id": "10309849"}, {"ref": "palashiitk/digit-recognizer-by-ensemble", "kernel_id": "10855336"}, {"ref": "mirmahathirmohammad/kaggle-digit-recognizer", "kernel_id": "10340614"}, {"ref": "apurvgude/digit-prediction-using-cnns", "kernel_id": "10243873"}, {"ref": "anuragbantu/stacking-ensemble-learning-beginner-s-guide", "kernel_id": "10950809"}, {"ref": "akashsdas/digit-recognizer-for-pros", "kernel_id": "10475153"}, {"ref": "perryshoham/digit-recognizer", "kernel_id": "10779416"}, {"ref": "rambocoders/svmalongwithhog-handwrittendigits", "kernel_id": "10087700"}, {"ref": "rambocoders/feed-forward-neural-network-handwrittendigits", "kernel_id": "10087641"}, {"ref": "rambocoders/knnclassifier-handwrittendigits", "kernel_id": "10087472"}, {"ref": "rambocoders/knn-classifier-for-handwritten-digits", "kernel_id": "10087266"}, {"ref": "fancyviper/digit-recognizer-using-cnn-and-tensorflow", "kernel_id": "10563476"}, {"ref": "angular/feed-forward", "kernel_id": "10086401"}, {"ref": "angular/svm-hog", "kernel_id": "10086477"}, {"ref": "angular/knn-classifier", "kernel_id": "10086284"}, {"ref": "vishwateja321/mnist", "kernel_id": "10967759"}, {"ref": "vadimsokolov/mnist-digits-using-keras", "kernel_id": "10296992"}, {"ref": "sanchitvj/deep-learning-cnn", "kernel_id": "10345580"}, {"ref": "sleymanemreik/cnn-predict-numbers", "kernel_id": "10351204"}, {"ref": "maksimbahdanchyk/digits-dry-solution-0-992", "kernel_id": "10218138"}, {"ref": "abdulhanan287/sequentialmodelmnist", "kernel_id": "10203847"}, {"ref": "vipinochiramani/mnist", "kernel_id": "10131836"}, {"ref": "apurvasharma866/digit-recognition", "kernel_id": "10253845"}, {"ref": "rahulverma99/digit-recognistion", "kernel_id": "10198023"}, {"ref": "stoneroggy/digit-recognizer", "kernel_id": "10642013"}, {"ref": "prashantgulave/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10606429"}, {"ref": "grafstor/mnist-classification-from-scratch", "kernel_id": "10349224"}, {"ref": "derinformatiker/simple-nn-from-scratch-without-nn-frameworks", "kernel_id": "10818207"}, {"ref": "manthankyada/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10608451"}, {"ref": "senaxionaria/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "10850638"}, {"ref": "shubhankitsirvaiya06/intro-to-cnn", "kernel_id": "10015276"}, {"ref": "rishikts/rishikts-mnist", "kernel_id": "10116977"}, {"ref": "peterfriedrich1/pytorch-intro-mnist", "kernel_id": "10383347"}, {"ref": "friskycodeur/image-recognition-using-cnn-explained", "kernel_id": "10578668"}, {"ref": "perfectiods/mnist-digit-recognizer-cnn-model", "kernel_id": "10194836"}, {"ref": "mariyajojy/kernel3cc0949017", "kernel_id": "10205490"}, {"ref": "kumarselvakumaran/cnn-a-newbie-friendly-guide-with-visual-knowhow", "kernel_id": "10172245"}, {"ref": "surya2196/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604189"}, {"ref": "siddheshsreedar/mnist-classification", "kernel_id": "10557281"}, {"ref": "nachiketnema/mnist-digit-recognition", "kernel_id": "10096835"}, {"ref": "cj13633603348/lenet-5-cnn-hwpred", "kernel_id": "10467853"}, {"ref": "ahmedshaykhon/convolution-cnn-and-pooling-starter-0-98-accuracy", "kernel_id": "10761492"}, {"ref": "badrinathnookala/beginner-prediction-on-mnist-acc-of-98-using-cnn", "kernel_id": "10825625"}, {"ref": "suryaaseran/a-lenet-approach-to-digit-recognizer", "kernel_id": "10759906"}, {"ref": "animesh05/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604184"}, {"ref": "nafemuhtasim/applied-machine-learning", "kernel_id": "10326445"}, {"ref": "souvikdeb/digit-recognition-code-for-beginners", "kernel_id": "10162464"}, {"ref": "muhammeddalkran/review-on-cnn-with-digit-recognizer-0-99325", "kernel_id": "10318430"}, {"ref": "riketagoel/digit-recognizer", "kernel_id": "10686817"}, {"ref": "rajgandhi98/digitrecogonizercnn1", "kernel_id": "10436011"}, {"ref": "dibyawantrivedi/first-neural-net", "kernel_id": "10953526"}, {"ref": "alberto256/digit-recognizer", "kernel_id": "10237751"}, {"ref": "aronighosh/digit-recognition", "kernel_id": "10505940"}, {"ref": "samuelevera/proyecto-1-emergente-natera-vera-mnist-cnn", "kernel_id": "10005149"}, {"ref": "prathadongre/mnist-learning", "kernel_id": "10174131"}, {"ref": "ceja55/mnist-data", "kernel_id": "10146584"}, {"ref": "richitakamal/mnist-fashion-and-digit-recogniser-for-kunal", "kernel_id": "10764496"}, {"ref": "aklimasauskas/mnist-classification-99-6-accuracy-top-10", "kernel_id": "10274424"}, {"ref": "olivergardiner/digit-recogniser-cnn-keras", "kernel_id": "10181118"}, {"ref": "gilbertopucciarelli/proyecto1-computaci-nemergente", "kernel_id": "10166983"}, {"ref": "valeriamadio/proyecto-jaimes-madio", "kernel_id": "10167995"}, {"ref": "monicashyamsukha/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604169"}, {"ref": "shivanshuagnihotri/digit-recognition-cnn-simple-solution-0-99-score", "kernel_id": "10186879"}, {"ref": "gokulprasads/mnist", "kernel_id": "10456167"}, {"ref": "manuelprieto/proyectopytorch", "kernel_id": "10224226"}, {"ref": "samuelvelasquez/proyecto1-samuel-velasquez", "kernel_id": "10298431"}, {"ref": "yashnalawade/digit-recognition", "kernel_id": "10295372"}, {"ref": "shivabhatt/digit-recognizer", "kernel_id": "10925075"}, {"ref": "nicolassilveira/mnist-classifier-p1-cnn", "kernel_id": "10084061"}, {"ref": "alfredojahn/pytorch-cnn-for-mnist-a-jahn", "kernel_id": "10171627"}, {"ref": "tonyrho/mnist-cnn", "kernel_id": "10013576"}, {"ref": "hemanthkumarkarangi/digit-recognition", "kernel_id": "10929963"}, {"ref": "kamiri/drmlab", "kernel_id": "10567540"}, {"ref": "marcosrozic/project-1-boada-de-andrade-cnn", "kernel_id": "10227771"}, {"ref": "sabrinagarcia/proyecto1-cuadrado-g-garc-a-s", "kernel_id": "10191320"}, {"ref": "pratikbarua/digit-recognizer-using-cnn-keras", "kernel_id": "10028378"}, {"ref": "deeppatel23/digit-recognizer-mnist", "kernel_id": "10103011"}, {"ref": "blurredmachine/mnist-classification-eda-pca-cnn-99-7-score", "kernel_id": "10029170"}, {"ref": "lichaoquna/kernel38f995606a", "kernel_id": "10688004"}, {"ref": "dsonyy/silent-interruption-of-fit-generator", "kernel_id": "10759249"}, {"ref": "dsonyy/mnist-cnn-just-another-99-5", "kernel_id": "10783290"}, {"ref": "alexanderkalen/kalen-landi-p1", "kernel_id": "10319402"}, {"ref": "ulhaqi12/digit-classification-using-cnn-in-tensorflow", "kernel_id": "10593255"}, {"ref": "anubhvagrawal/digit-recognizer-by-anubhav", "kernel_id": "10924086"}, {"ref": "tanjinaproma/mnist-digit-recognition-with-cnn", "kernel_id": "10871297"}, {"ref": "snehalkumar05/digit-classifier-1", "kernel_id": "10286233"}, {"ref": "darkknight98/mnist-digits-dataset-a-simple-cnn-99", "kernel_id": "10876864"}, {"ref": "paramz/mnist-accuracy-96", "kernel_id": "10504995"}, {"ref": "bulbulbhati/digit-recognition-model", "kernel_id": "10169967"}, {"ref": "bulbulbhati/fork-of-digit-recognition-model", "kernel_id": "10206245"}, {"ref": "hanztantiangco/cnn-for-digit-recognition", "kernel_id": "10486512"}, {"ref": "amrit09singh/tensorflow-cnn-mnist", "kernel_id": "10403729"}, {"ref": "yashsingh25/mnistanalysis", "kernel_id": "10198949"}, {"ref": "gameszone/digit-predict", "kernel_id": "10162739"}, {"ref": "doukanlelolu/convolutional-neural-network-cnn-tutorial", "kernel_id": "10350375"}, {"ref": "doukanlelolu/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "10316336"}, {"ref": "adinishad/digit", "kernel_id": "10287955"}, {"ref": "chinmaysalvi/digit-mnist-recognizer", "kernel_id": "10951671"}, {"ref": "vshourie/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604200"}, {"ref": "ja4todayzenki/kernel3a7013dc5b", "kernel_id": "10621772"}, {"ref": "konishisaki/kernel4e4273dd23", "kernel_id": "10589890"}, {"ref": "kaggluserjp/kernel7e3c996bf5", "kernel_id": "10490865"}, {"ref": "kaito1412/mnist-test", "kernel_id": "10469589"}, {"ref": "kaito1412/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "10467979"}, {"ref": "kaito1412/mnist-e10-b86", "kernel_id": "10722231"}, {"ref": "hiromaru/fork-of-data-sciencee", "kernel_id": "10922821"}, {"ref": "neuralsection/neuralsection-digit-recognizer", "kernel_id": "10301505"}, {"ref": "madara416/triplet-loss-with-pytorch", "kernel_id": "10591165"}, {"ref": "geetikabhandari/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604203"}, {"ref": "sidsharma97/mnist-using-cnn-accuracy-98-5", "kernel_id": "10662261"}, {"ref": "bhaveshgupta3421/image-recognition-using-cnn-keras", "kernel_id": "10586643"}, {"ref": "islammohaisen/digit-recognizer-simple-cnn", "kernel_id": "10848428"}, {"ref": "shotaroueda/kernel23331a1a56", "kernel_id": "10685964"}, {"ref": "shotaroueda/kernel6466450d57", "kernel_id": "10683499"}, {"ref": "sakata0141/kernel56137a6b73", "kernel_id": "10900744"}, {"ref": "sakata0141/kernel3a7013dc5b", "kernel_id": "10900500"}, {"ref": "eisukeyamamoto/kernel289b126d77", "kernel_id": "10482804"}, {"ref": "hideyukimimura/kernel2406033f43", "kernel_id": "10342107"}, {"ref": "gackji/kernel5cec856154", "kernel_id": "10576877"}, {"ref": "junasa/kernel796c60fb39", "kernel_id": "10965505"}, {"ref": "ishaanaditya/digit-classifier-cnn", "kernel_id": "10740718"}, {"ref": "tatsuyaichikawa/kernel8c9bae7671", "kernel_id": "10720588"}, {"ref": "yugonishida/kernel2cff2ce820", "kernel_id": "10239040"}, {"ref": "engnadersarsour/digit-recognizer-competition", "kernel_id": "10905997"}, {"ref": "maimahdi/digitrecognizer", "kernel_id": "10923554"}, {"ref": "mariaelisarodriguez/rodriguezsansonetti", "kernel_id": "10242444"}, {"ref": "tennisjatmgezwebnejp/kernel35d63dc33d", "kernel_id": "10893877"}, {"ref": "tennisjatmgezwebnejp/kernel249ba6aa6f", "kernel_id": "10892767"}, {"ref": "irene56/digit-recognition", "kernel_id": "10264082"}, {"ref": "bluetriad/digit-recognizer", "kernel_id": "10718452"}, {"ref": "bluetriad/kernelfaafca974d", "kernel_id": "10718045"}, {"ref": "gkalpolukcu/convolutional-neural-network-cnn-homework", "kernel_id": "10509476"}, {"ref": "poweronreset/kernel4b930cdd91", "kernel_id": "10442051"}, {"ref": "harukayoshioka/kernel30e722ce50", "kernel_id": "10717942"}, {"ref": "bobsapps/kernel713a5df073", "kernel_id": "10846346"}, {"ref": "bobsapps/kernel27bfd1f363", "kernel_id": "10966393"}, {"ref": "subhransukumarnayak/mnist-2", "kernel_id": "10374012"}, {"ref": "doanhphng/digit-ricognizer", "kernel_id": "10323762"}, {"ref": "so4to2mi9no/kernel73c7078c7b", "kernel_id": "10715396"}, {"ref": "so4to2mi9no/kernel49b695142b", "kernel_id": "10715125"}, {"ref": "so4to2mi9no/kernel9ed4f7e1ea", "kernel_id": "10846623"}, {"ref": "tikuwaaa/kernel570ae8c772", "kernel_id": "10792346"}, {"ref": "datasciencebio/data-science-e-200731", "kernel_id": "10932587"}, {"ref": "ritamaria/digit-recognizer", "kernel_id": "10560854"}, {"ref": "dungnguynthkim/ttknn", "kernel_id": "10455204"}, {"ref": "shivamchaturvedi/digit-classifier-by-random-forest", "kernel_id": "10917385"}, {"ref": "zk201810224216/kernel52c5f125da", "kernel_id": "10432466"}, {"ref": "kyawzinhtet/kernel773192297d", "kernel_id": "10481977"}, {"ref": "mirzamujtaba/image-recognition-for-beginners", "kernel_id": "10306753"}, {"ref": "hamzasahin/digit-recognizer", "kernel_id": "10439708"}, {"ref": "tokuntokum/kernel6c5db4381f", "kernel_id": "10505187"}, {"ref": "thayashi02/kernel62b6b95555", "kernel_id": "10468502"}, {"ref": "daikiwakiyama/ds-digit", "kernel_id": "10580346"}, {"ref": "joaovitorcampos/cnn-simples-com-keras-joao", "kernel_id": "10974997"}, {"ref": "kaitokawasaka/digit-recognizer-d864fd", "kernel_id": "10720169"}, {"ref": "kaleozhou/pytorch-digit-recongnizer", "kernel_id": "10559485"}, {"ref": "avulapatiniranjan/number-detection", "kernel_id": "10865517"}, {"ref": "hellohellotest123/kernel7da984eb37", "kernel_id": "10390701"}, {"ref": "group02/kerneld7e123a424", "kernel_id": "10682420"}, {"ref": "suguruu/kernel154c1b6940", "kernel_id": "10720766"}, {"ref": "quentinfortier/mnist", "kernel_id": "10916524"}, {"ref": "kasevgen/mnist", "kernel_id": "10620083"}, {"ref": "alpbintuuzun/digitrecognizer", "kernel_id": "10828842"}, {"ref": "janninga/digit-recognizer", "kernel_id": "10661730"}, {"ref": "anujverma126/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604188"}, {"ref": "virajwani/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604167"}, {"ref": "santoshdonthiri/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604162"}, {"ref": "nandakrishnat/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604138"}, {"ref": "tejasvikumarsankhla/mnist-digit-classification-cnn-beginner-s-2116fe", "kernel_id": "10604556"}, {"ref": "krishnakamath/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604275"}, {"ref": "pratikchougule/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604143"}, {"ref": "vishimaroo/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604166"}, {"ref": "ravipakhare/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10605278"}, {"ref": "kumarkamble/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604489"}, {"ref": "manishchauhan17/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604202"}, {"ref": "umangvashishtha/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604194"}, {"ref": "sudeepkshrivastava/mnist-digit-classification-cnn-beginner-s-guide", "kernel_id": "10604294"}, {"ref": "anwesande/convolution-nn-and-pooling-starter-0-98-acc", "kernel_id": "10755803"}, {"ref": "joaossmacedo/mnist-basic-nn", "kernel_id": "10874331"}, {"ref": "joaossmacedo/mnist-cnn", "kernel_id": "10977592"}, {"ref": "sandeepbhuiya29/simplest-cnn-99-acc", "kernel_id": "10915771"}, {"ref": "hectrdurnlv/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "10696037"}, {"ref": "yoshikyoto/digit", "kernel_id": "10777359"}, {"ref": "sebastiniglesias/97-mnist-tree-classifier-with-tsvd-t-sne", "kernel_id": "10803437"}, {"ref": "sainiviv/fully-connected-neural-network-using-numpy", "kernel_id": "10831014"}, {"ref": "georgiyshalygin/mnistdig-self-maid-ann", "kernel_id": "10902663"}, {"ref": "georgiyshalygin/mnistdkeras", "kernel_id": "10954800"}, {"ref": "fchollet/keras-kerastuner-best-practices", "kernel_id": "11199418"}, {"ref": "sudhanshuraheja/mnist", "kernel_id": "11086336"}, {"ref": "dumbgeek/mnist-digit-recognizer-basic-nn-vs-cnn", "kernel_id": "11310994"}, {"ref": "tunguz/keras-kerastuner-best-practices", "kernel_id": "11245893"}, {"ref": "ksvmuralidhar/digit-recognizer-cnn", "kernel_id": "11803156"}, {"ref": "ankitdatascience/neural-network-for-digit-recogniser-from-scratch", "kernel_id": "11934539"}, {"ref": "anmolkapoor/simple-neural-network-multiclass-classification", "kernel_id": "11406665"}, {"ref": "sumitkant/say-hello-world-with-cnns", "kernel_id": "11086248"}, {"ref": "gowrishankarin/roll-ur-sleeves-let-s-do-some-partial-derivatives", "kernel_id": "11225449"}, {"ref": "angadp/simple-cnn-to-predict-digits", "kernel_id": "11950572"}, {"ref": "habibmrad1983/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "11660313"}, {"ref": "habibmrad1983/convolutional-neural-network-cnn-tutorial", "kernel_id": "11761557"}, {"ref": "habibmrad1983/recurrent-neural-network-with-pytorch", "kernel_id": "11766843"}, {"ref": "habibmrad1983/long-short-term-memory-with-pytorch", "kernel_id": "11768534"}, {"ref": "jameswgoddard/digit-recognition-algorithm-comparison", "kernel_id": "11573039"}, {"ref": "gajjadarahul/cnn-mnist-tensorflow2", "kernel_id": "11210143"}, {"ref": "mobijoker/simple-model-with-keras-for-mnist", "kernel_id": "11226473"}, {"ref": "qrsforever/pytorch-lightning-digit-recognizer-on-squeezenet", "kernel_id": "11902336"}, {"ref": "indermohanbains/digit-recogniser", "kernel_id": "11828766"}, {"ref": "ayushexel/kaggle-dl-scratch", "kernel_id": "11012515"}, {"ref": "hoangnguyen719/simple-conv-net-accuracy-0-99360", "kernel_id": "11492746"}, {"ref": "hoangnguyen719/simple-tricks-that-greatly-improve-your-nets", "kernel_id": "11046742"}, {"ref": "paulo890/mnist-with-pytorch", "kernel_id": "11423208"}, {"ref": "vsevicky/mnist-cnn", "kernel_id": "11498671"}, {"ref": "fuinki/pytorch-testcode", "kernel_id": "11664799"}, {"ref": "nikhileshkos/cnn-or-regression-comparison-90-acc", "kernel_id": "11365929"}, {"ref": "sachinichake/digit-recognizer-pytorch-cnn-0-99014", "kernel_id": "11097394"}, {"ref": "mritunjaisingh/digit-recognizer-cnn", "kernel_id": "11361952"}, {"ref": "asmaaeltaher/digit-recognizer-dl", "kernel_id": "11629801"}, {"ref": "tchristie/mnist-current", "kernel_id": "11503477"}, {"ref": "vedraiyani/myhandwritten", "kernel_id": "11530014"}, {"ref": "alanchn31/mnist-efficientnet-99-in-5-epochs", "kernel_id": "11949480"}, {"ref": "alanchn31/mnist-fastai-v2-cnn", "kernel_id": "11881198"}, {"ref": "alexinicab/neural-network-scikit-learn", "kernel_id": "11883776"}, {"ref": "alexinicab/keras-convnet", "kernel_id": "11991339"}, {"ref": "jatinbabbar1696/keras-mnist", "kernel_id": "11907964"}, {"ref": "miqdude11/kaggledigitrecognizer", "kernel_id": "11898183"}, {"ref": "vibivij/exercise-deep-learning-from-scratch", "kernel_id": "11889971"}, {"ref": "renesis88/h20-automl", "kernel_id": "11212432"}, {"ref": "renesis88/mnist-auto-gluon-lb-0-97978", "kernel_id": "11218449"}, {"ref": "samansiadati/digit-recognizer", "kernel_id": "11209621"}, {"ref": "sachin93/digit-recognizer-fastai", "kernel_id": "11023722"}, {"ref": "beingresilient/cnn-keras-0-9976", "kernel_id": "11576920"}, {"ref": "changezakram/image-recognizer-v1", "kernel_id": "11738441"}, {"ref": "aashmawy/digit-recognizer", "kernel_id": "11310650"}, {"ref": "anupamuit/digit-recognizer-using-decision-tree", "kernel_id": "11370190"}, {"ref": "anupamuit/digit-classifier-using-cnn", "kernel_id": "11387493"}, {"ref": "greenarrow2018/minist-recognizer-with-cnn-with-0-996-acurracy", "kernel_id": "11789295"}, {"ref": "fanbyprinciple/mnist-classification-using-fastai-v3", "kernel_id": "11299196"}, {"ref": "taryll/classificando-numeros", "kernel_id": "11104316"}, {"ref": "servietsky/dimensionality-reduction-methods-epic-fight", "kernel_id": "11312274"}, {"ref": "taiga518/keras-deep-learning", "kernel_id": "11306427"}, {"ref": "beamers/exercise-dropout-and-strides-for-larger-models", "kernel_id": "11154885"}, {"ref": "beamers/exercise-deep-learning-from-scratch", "kernel_id": "11154400"}, {"ref": "aditi81k/digit-recognizer", "kernel_id": "11265589"}, {"ref": "instalok/digit-recognition-cnn", "kernel_id": "11460728"}, {"ref": "ghaiyur/mnist-vcv2", "kernel_id": "11282263"}, {"ref": "pratyush1999/exercise-deep-learning-from-scratch", "kernel_id": "11127652"}, {"ref": "mfrancis23/intro-to-efficientnet-0-99646-accuracy", "kernel_id": "11247216"}, {"ref": "abhinav007/digit-recognizer-using-pytorch", "kernel_id": "11181935"}, {"ref": "amethyst1012/notebookf61df64cfc", "kernel_id": "11621562"}, {"ref": "dhruvesh2103/digit-recognizer-tensorflow-cnn", "kernel_id": "11232489"}, {"ref": "aman10kr/what-99-25-accuracy-with-9-5k-parameters", "kernel_id": "11252494"}, {"ref": "aranga81/kickoff-with-simple-cnn-tf2", "kernel_id": "11088963"}, {"ref": "shubhamkhandale/digit-recognition", "kernel_id": "11456822"}, {"ref": "aakashak2000/beginner-friendly-exploring-anns-cnns-callbacks", "kernel_id": "11178613"}, {"ref": "bryangray/diginetx2", "kernel_id": "11852236"}, {"ref": "mmkuznecov/mnist-classification-with-autoencoder-and-svm", "kernel_id": "11346788"}, {"ref": "gabrielmilan/efficientnet-baseline", "kernel_id": "11088069"}, {"ref": "bhaskar47/score-0-9927-on-mnist-with-indepth-detailed-analys", "kernel_id": "11955886"}, {"ref": "rahulsingh731/mnist-digits-recogniser-beginner-easy", "kernel_id": "11068573"}, {"ref": "rahulsingh731/mnist-autoencoder-and-classification-easy", "kernel_id": "11125973"}, {"ref": "argaadya/kernel7310453654", "kernel_id": "11050664"}, {"ref": "vaibhavs2/simple-code-for-absolute-beginners-acc-0-99064", "kernel_id": "11303007"}, {"ref": "windmen/digit-recognizer", "kernel_id": "11384903"}, {"ref": "sedkii/digit-recognizer-cnn", "kernel_id": "11674330"}, {"ref": "bigeldi/digit-recognizer-v1-0-99", "kernel_id": "11730047"}, {"ref": "coalbear/mnist-simple", "kernel_id": "11488332"}, {"ref": "natra2k2/adversarial-autoencoding-with-keras", "kernel_id": "11622253"}, {"ref": "manoj8867/digit-recognizer-using-cnn-keras-for-beginners", "kernel_id": "11415351"}, {"ref": "lailaelmahmoudi123/binary-classification-for-the-mnist-dataset", "kernel_id": "11102495"}, {"ref": "prasoon16/notebook267dc2701b", "kernel_id": "11339951"}, {"ref": "sshikamaru/beginner-cnn-99-2-accuracy", "kernel_id": "11152468"}, {"ref": "reviveer/effects-of-dimensionality-reduction-techniques", "kernel_id": "11196367"}, {"ref": "reviveer/98-accuracy-using-simple-keras-model", "kernel_id": "11423725"}, {"ref": "yeanwei/learn-pytorch-with-mnist", "kernel_id": "11055119"}, {"ref": "blaxkdolphin/nn-embedding-with-triplet-loss", "kernel_id": "11016756"}, {"ref": "vesuvius13/digit-recognizer-cnn-with-tensorflow-and-keras", "kernel_id": "11322032"}, {"ref": "g9jiggy/digit-recognizer-without-deep-learning", "kernel_id": "11355485"}, {"ref": "g9jiggy/image-augmentation-in-digit-recognizer-with-numpy", "kernel_id": "11433261"}, {"ref": "pawan300/digit-recognition", "kernel_id": "11475252"}, {"ref": "nzhongahtan/simple-preprocessing-techinques-using-minst-data", "kernel_id": "11248335"}, {"ref": "nakulsingh1289/score-1-00-in-digit-recognizer", "kernel_id": "11722614"}, {"ref": "brandonnova/digit-perfect", "kernel_id": "11183947"}, {"ref": "atmaraiprince/digit-recognizer-accuracy-0-971285", "kernel_id": "11416904"}, {"ref": "aishwaryab4/exercise-dropout-and-strides-for-larger-models", "kernel_id": "11704725"}, {"ref": "aishwaryab4/deep-learning-from-scratch", "kernel_id": "11702740"}, {"ref": "masoodanzar/kaggle-digit-recognition", "kernel_id": "11702225"}, {"ref": "ecemboluk/convolutional-neural-network-98-accuracy", "kernel_id": "11257055"}, {"ref": "omfuke123/getting-started-with-pytorch", "kernel_id": "11097368"}, {"ref": "mrinath/image-analysis-with-tsne-and-kmeans", "kernel_id": "11211995"}, {"ref": "hhs1516/mnist-digit", "kernel_id": "11016032"}, {"ref": "akiboy96/digit-recognizer-stocks-use-case", "kernel_id": "11887052"}, {"ref": "akiboy96/mnist-digit-recognize-cnn", "kernel_id": "11908409"}, {"ref": "akiboy96/handwritten-mnist-aakash", "kernel_id": "11905744"}, {"ref": "vivekyadav21/digit-recognizer-using-cnn-using-keras", "kernel_id": "11332869"}, {"ref": "sidvsukhi/mnist-digit-solution", "kernel_id": "11232712"}, {"ref": "wolwire/dc-gan-on-mnist", "kernel_id": "11161815"}, {"ref": "hayrilatif/digit-recognizer-with-numpy-adam-optimizer", "kernel_id": "11356858"}, {"ref": "hughpearse/hughs-digitrecognizer", "kernel_id": "11290831"}, {"ref": "dehaozhang/t-sne-visualization", "kernel_id": "11156422"}, {"ref": "bodislam/random-models-test", "kernel_id": "11822331"}, {"ref": "pramodgupta92/deep-learning-standard-image-classification-design", "kernel_id": "11543431"}, {"ref": "heitorfalcao/digit-recognizer-notebook-99-446", "kernel_id": "11341257"}, {"ref": "viroviro/introduction-to-cnns", "kernel_id": "11048711"}, {"ref": "arnabark/beginner-digit-recognizer", "kernel_id": "11657904"}, {"ref": "towsifahamed/digitrecog", "kernel_id": "11613250"}, {"ref": "aloksahu7478/keras-digit-recognizer", "kernel_id": "11822007"}, {"ref": "benai9916/principal-component-analysis-pca", "kernel_id": "11152070"}, {"ref": "lhernand/mnist-svc", "kernel_id": "11402854"}, {"ref": "maheer/mnist-keras-99-47-acc", "kernel_id": "11392508"}, {"ref": "emnikkhil/digit-recognizer-using-cnn", "kernel_id": "11953506"}, {"ref": "dohunkim/gnb-1", "kernel_id": "11179393"}, {"ref": "pradyut23/cnn-keras-ensemble-model-mnist-99-6-accuracy", "kernel_id": "11590103"}, {"ref": "pratik321/mnist-dataset-first-challenge", "kernel_id": "11988013"}, {"ref": "jhonatanluna/digitrecognizer", "kernel_id": "11546501"}, {"ref": "shrey821/digit-recognition-using-cnn-model", "kernel_id": "11305870"}, {"ref": "snehashukla777/modeldigitrecognizer", "kernel_id": "11500867"}, {"ref": "l0new0lf/knn-cv-and-hyperparameter-tuning-py", "kernel_id": "11814623"}, {"ref": "mohamedtayser/cnn-with-tpu-for-mnist", "kernel_id": "11102074"}, {"ref": "wongguoxuan/beginner-digit-recognition-with-convnet", "kernel_id": "11398365"}, {"ref": "yaytorp/kaggle-mnist-v6", "kernel_id": "11729990"}, {"ref": "pkmisra/linear-regression-using-maths", "kernel_id": "11676186"}, {"ref": "mani97/cnn-99-57-visualise-filters-activation-layers", "kernel_id": "11650794"}, {"ref": "abdelwahed43/handwritten-digits-recognizer-0-999-simple-model", "kernel_id": "11040563"}, {"ref": "mehmetsanis/mnist-mehmetsanis-eda", "kernel_id": "11992387"}, {"ref": "kambojharyana/exploring-mnist-dataset", "kernel_id": "11999850"}, {"ref": "sak2129/digitrecognizer-neural-network-approach", "kernel_id": "11842667"}, {"ref": "akashkash/sgh-nn-project", "kernel_id": "11825066"}, {"ref": "rameez471/mnist-with-lenet-5", "kernel_id": "11000118"}, {"ref": "mete6944/convolutional-neural-network-cnn-tutorial", "kernel_id": "11390739"}, {"ref": "dakshdave9/digit-recognizer-mnist-dataset", "kernel_id": "11041563"}, {"ref": "pavan9065/digit-recognizer-v2-0", "kernel_id": "11792160"}, {"ref": "shashankpy/explaining-cnn-digit-recogniser-using-shap", "kernel_id": "11052959"}, {"ref": "rama99999/image-classification", "kernel_id": "11459677"}, {"ref": "tanushrees98/mnist-basic", "kernel_id": "11340919"}, {"ref": "xhdhr10000/lenet5", "kernel_id": "11381668"}, {"ref": "lokeshrao/solve-by-machine-learning", "kernel_id": "11273622"}, {"ref": "lokeshrao/simple-classification-algorithm-98", "kernel_id": "11280451"}, {"ref": "mikhailg0/digit-recognizer-solution-sklearn", "kernel_id": "11179877"}, {"ref": "mikhailg0/digit-recognizer-solution-keras", "kernel_id": "11181155"}, {"ref": "ankur95/digit-recognition-using-cnn", "kernel_id": "11199239"}, {"ref": "ggarkoti02/handwritten-mnist", "kernel_id": "11902735"}, {"ref": "khv1999/mnist-digits-recognition-begginer", "kernel_id": "11325292"}, {"ref": "rajatkumar794/digitrecognizer", "kernel_id": "11476155"}, {"ref": "shweta2407/mnist-digit-recognition-using-cnn", "kernel_id": "11949112"}, {"ref": "rude009/mnist-with-keras-cnn-model-99-5", "kernel_id": "11983532"}, {"ref": "codeblogger/recognize-handwritten-digits-a-web-app", "kernel_id": "11266596"}, {"ref": "ankitapaithankar/digit-recognizer-using-cnn-acc-upto-0-9927", "kernel_id": "11199017"}, {"ref": "shaurov/recognizing-digits-using-deep-learning", "kernel_id": "11669818"}, {"ref": "shyamprasath/digit", "kernel_id": "11698797"}, {"ref": "dongdongsyo/yd-digit", "kernel_id": "11247476"}, {"ref": "sudiptog81/mnist-digit-predictions", "kernel_id": "11499669"}, {"ref": "rexfelix/digit-r", "kernel_id": "11836923"}, {"ref": "kwjcndocjn/mnist", "kernel_id": "11464132"}, {"ref": "amolambkar/digit-recognition-using-cnn", "kernel_id": "11351888"}, {"ref": "raviet/new-way-of-dealing-with-digit-recognizer-dataset", "kernel_id": "11525216"}, {"ref": "yuntant/digit-recognizer-pytorch", "kernel_id": "11699459"}, {"ref": "pjpkvarma/digit-recognizer-using-keras-0-9955", "kernel_id": "11148833"}, {"ref": "ayushikaushik/convolutional-neural-network-tensorflow2-0", "kernel_id": "11801842"}, {"ref": "omarmohamed22/cnn-code-mnist-csv-dataset", "kernel_id": "11089012"}, {"ref": "musama619/mnist-using-cnn-lenet-5-99-accuracy", "kernel_id": "11485880"}, {"ref": "sahidvelji/mnist-digits-with-pytorch", "kernel_id": "11368221"}, {"ref": "minhajuddin/mnist-digit-data-classification", "kernel_id": "11647522"}, {"ref": "krishnakaushikreddy/recognising-hand-written-digits-using-dl", "kernel_id": "11190110"}, {"ref": "ranitradas/digit-recognition-using-cnn", "kernel_id": "11329379"}, {"ref": "higuuu/notebook8743eed7fd", "kernel_id": "11403082"}, {"ref": "phileinsophos/digit-recognizer-kaggle-competition", "kernel_id": "11448221"}, {"ref": "rog007/digit-recognizer", "kernel_id": "11828923"}, {"ref": "ighack/digit-recognizer", "kernel_id": "11075012"}, {"ref": "ivankalinchuk/digit-recognition-cnn", "kernel_id": "11272720"}, {"ref": "maximknyazev/notebookc92e1024e8", "kernel_id": "11959463"}, {"ref": "elvinagammed/download-csv-file-from-kernel-as-link-kaggle", "kernel_id": "11445859"}, {"ref": "sachinkadlimatti/digit-recognizer", "kernel_id": "11459042"}, {"ref": "lokeshduvvuru/mnist-squeeze-and-excite-block", "kernel_id": "11298742"}, {"ref": "lokeshduvvuru/implementation-of-lenet", "kernel_id": "11280163"}, {"ref": "lokeshduvvuru/mnist-neural-network-hyperparameters", "kernel_id": "11248517"}, {"ref": "ravisingh26/digit-recognizer", "kernel_id": "11399828"}, {"ref": "arpitbajpai771/digit-recognizer-using-cnn", "kernel_id": "11487173"}, {"ref": "simo333/digit-rec-repeatedkfold-99", "kernel_id": "11248388"}, {"ref": "simo333/digit-recog3-0-kfold-99", "kernel_id": "11025326"}, {"ref": "simo333/mnist-base-model1", "kernel_id": "11008433"}, {"ref": "rajviishah/pca-mnist", "kernel_id": "11955498"}, {"ref": "rajviishah/t-sne-mnist", "kernel_id": "11955521"}, {"ref": "niksapraljak/comprehensive-walkthrough-for-autoencoders", "kernel_id": "11104277"}, {"ref": "tanvithanekar/introduction-to-cnn-using-tensorflow-keras", "kernel_id": "11249787"}, {"ref": "adityakr1001/digit-recognizer", "kernel_id": "11379476"}, {"ref": "ozkanozturk/cnn-deeplearning-with-99-05-accuracy", "kernel_id": "11019056"}, {"ref": "shamiulislamshifat/digit-recognizing-using-cnn", "kernel_id": "11596179"}, {"ref": "laytsw/simple-multiclass-classification-model", "kernel_id": "11427431"}, {"ref": "mansimeena/digit-recognition-using-cnn", "kernel_id": "11917107"}, {"ref": "ethanhunt1080/cnn-first-try", "kernel_id": "11484816"}, {"ref": "sametevik/cnn-first-step", "kernel_id": "11858542"}, {"ref": "nitishksingh/handwriting-classifier-decision-trees", "kernel_id": "11558237"}, {"ref": "wickkiey/digit-recognizer-tf2-starter-97-with-10-epochs", "kernel_id": "11834863"}, {"ref": "aymen311/kernel28920e353a", "kernel_id": "11056782"}, {"ref": "aymen311/digit-recognizer-with-cnn-data-augmentation", "kernel_id": "11148198"}, {"ref": "harkiratvasir/digit-recognition-accuracy-99-50-score-in-top-10", "kernel_id": "11858028"}, {"ref": "nahianrifaat/cnn-digit-recognizer-on-mnist-data-with-99-acc", "kernel_id": "11400265"}, {"ref": "shyroserazwani/msds-458-ai-as1-digit-recognizer", "kernel_id": "11842668"}, {"ref": "agsam23/neuron-to-network", "kernel_id": "11167599"}, {"ref": "adityagamer786/digit-recognition", "kernel_id": "11427773"}, {"ref": "alifrahman/digit-recognizer-for-beginners-0-9966", "kernel_id": "11762664"}, {"ref": "pranjalsoni17/resnet50-for-hand-written-digit-recognizer", "kernel_id": "11070203"}, {"ref": "shankarj/cnn-for-digit-recognition-using-keras", "kernel_id": "11448567"}, {"ref": "divya1gupta/handwritten-digits-using-cnn-ensembles", "kernel_id": "11876589"}, {"ref": "mohamedfarag96/transfer-learning-for-digit-recognizer", "kernel_id": "11030626"}, {"ref": "mohamedfarag96/cnn-for-digit-recognition", "kernel_id": "11013847"}, {"ref": "barshalomlaniado/digits-recognition", "kernel_id": "11145042"}, {"ref": "vensonchiang/digit-recognizer-capsule-net", "kernel_id": "11218446"}, {"ref": "kunalgupta3001/kernel787d5c3c2a", "kernel_id": "11123532"}, {"ref": "archanghosh/dc-gan-using-tf2-0-on-mnist", "kernel_id": "11068500"}, {"ref": "bronyashijiayang/mnist-pytorch-cnn-for-0-experienced", "kernel_id": "11978455"}, {"ref": "pranaykankariya/digit-classifier-using-keras-accuracy-99-14", "kernel_id": "11901781"}, {"ref": "hamiltonts/mlp-simples-com-keras-para-iniciantes", "kernel_id": "11172389"}, {"ref": "pallavisinha12/digit-recognizer", "kernel_id": "11698912"}, {"ref": "tirth0110/cnn-keras-0-997", "kernel_id": "11443306"}, {"ref": "mrinalsaini/digit-recognizer-mnist-data-cnn", "kernel_id": "11684407"}, {"ref": "choubane/cnn-digit-recognizer-99-00-validation-accuracy", "kernel_id": "11275190"}, {"ref": "wahyusetianto/cnn-keras-cv-0-996-tpu", "kernel_id": "11273039"}, {"ref": "canozer/digit-recognizer-cnn", "kernel_id": "11504761"}, {"ref": "venkateshthota/mnist-digits-classification-using-svm", "kernel_id": "11301119"}, {"ref": "karthikb19/mnist-cnn-using-keras", "kernel_id": "11247296"}, {"ref": "cauthur/basic-deep-learning-with-pytorch", "kernel_id": "11859937"}, {"ref": "jedrzejdudzicz/mnist-dataset-100-accuracy", "kernel_id": "11252037"}, {"ref": "nickelkumawat/digit-recognizer-cnn-keras", "kernel_id": "11201042"}, {"ref": "ravisane1/mnist-cnn", "kernel_id": "11482137"}, {"ref": "bishabpokharel/mnist-digit-recognizer", "kernel_id": "11606054"}, {"ref": "arunjathari/digit-recognition", "kernel_id": "11870532"}, {"ref": "soumikdey/decision-tree", "kernel_id": "11558231"}, {"ref": "trinadhreddy1/digit-recogniser", "kernel_id": "11267720"}, {"ref": "soumyaranjannayak/autoencoder", "kernel_id": "11105090"}, {"ref": "divyasinghal1996/notebookfbd9eefaa5", "kernel_id": "11713096"}, {"ref": "iamsvp/digit-recognizer-with-pytorch", "kernel_id": "11223578"}, {"ref": "jayantawasthi/mnist", "kernel_id": "11914085"}, {"ref": "aakashawesome/cnn-model-digit", "kernel_id": "11108214"}, {"ref": "aadeshbaral/digit-recognizer", "kernel_id": "11462953"}, {"ref": "akhiljohnson226/digit-recognition-cnn-98-79-accuracy", "kernel_id": "11060617"}, {"ref": "himahima/cnn-model", "kernel_id": "11440745"}, {"ref": "saumandas/intro-to-transfer-learning-with-mnist", "kernel_id": "11214881"}, {"ref": "mrhippo/denoising-mnist-with-autoencoders", "kernel_id": "11210804"}, {"ref": "mrhippo/generating-mnist-digists-with-vaes", "kernel_id": "11288964"}, {"ref": "elmetejon/digit-recognizer-using-pytorch-from-scratch", "kernel_id": "11955185"}, {"ref": "cetinkayaevren/digit-classifier-with-cnn", "kernel_id": "11884254"}, {"ref": "ayoubsandali/degit-recognizer", "kernel_id": "11791803"}, {"ref": "nbe1233/digit-recognizer-cnn", "kernel_id": "11204806"}, {"ref": "royganz/keras-mnist", "kernel_id": "11475742"}, {"ref": "rajabhi1/kernel24bf39ba19", "kernel_id": "11142293"}, {"ref": "prashanthprince/98-2-accuracy-digit-recognizer-using-simple-cnn", "kernel_id": "11234442"}, {"ref": "ratul6/exercise-dropout-and-strides-for-larger-models", "kernel_id": "11178847"}, {"ref": "sabindcoster/digit-recognition", "kernel_id": "11970199"}, {"ref": "kazukiiwa/convnet", "kernel_id": "11492583"}, {"ref": "mustang007/digit-recognizer-cnn-with-tensorflow-and-keras", "kernel_id": "11337987"}, {"ref": "yashk07/cnn-digit-recognizer", "kernel_id": "11045221"}, {"ref": "manishkc06/simple-mlp-classifier-to-recognize-digits", "kernel_id": "11560039"}, {"ref": "ezeanyi/mnist-digits-classification", "kernel_id": "11400559"}, {"ref": "canberkarc/0-9955-score-mnist-digit-recognizer-cnn-keras", "kernel_id": "11691016"}, {"ref": "fatihhazir/cnn-classification", "kernel_id": "11071889"}, {"ref": "italomarcelo/keras-03", "kernel_id": "11182616"}, {"ref": "maxmar/random-forest-with-data-augmentation", "kernel_id": "11153080"}, {"ref": "maxmar/digit-recognizer-ensemble", "kernel_id": "11333538"}, {"ref": "blackhurt/notebook3f5f2ef7ab", "kernel_id": "11438418"}, {"ref": "blackhurt/top-2-in-cometition", "kernel_id": "11442170"}, {"ref": "kundnjha/pca-and-t-sne-visualization", "kernel_id": "11458260"}, {"ref": "zjj097/image-classification-using-svm", "kernel_id": "11145727"}, {"ref": "artemkostrikin/digit-recognition-introduction-to-keras", "kernel_id": "11151292"}, {"ref": "zacharywyman/classifying-digits-quick-beginner-s-tutorial", "kernel_id": "11737531"}, {"ref": "mohamedsamymohamed/mnist-data-with-cnn-without-data-augmentation", "kernel_id": "11956350"}, {"ref": "jaydewz/digit-recognizer-using-mlpclassifier", "kernel_id": "11907515"}, {"ref": "alincijov/mnist-scipy-numpy-from-scratch", "kernel_id": "11546903"}, {"ref": "amitjadhav96/cnn-keras", "kernel_id": "11375053"}, {"ref": "jayfaldu/lenet5-model-for-digit-recognition", "kernel_id": "11541596"}, {"ref": "jayfaldu/hand-written-digit-recognition-using-cnn", "kernel_id": "11437677"}, {"ref": "wzhou007/digit-recognizer-with-keras", "kernel_id": "11014172"}, {"ref": "alankritamishra/learncnn", "kernel_id": "11301453"}, {"ref": "tristansaminadayar/my-digit-recognizer", "kernel_id": "11241542"}, {"ref": "pravdychvitalii/mnist", "kernel_id": "11056755"}, {"ref": "parkwonbin/a-beginner-s-classifier-comparison-with-pca", "kernel_id": "11059178"}, {"ref": "parkwonbin/coding-exercise-mnist-confusion-roc-pca", "kernel_id": "11054148"}, {"ref": "maleroy/digit-recognizer-cnn-with-data-aug", "kernel_id": "11984527"}, {"ref": "kshitijkarnawat/basic-3-layer-neural-network", "kernel_id": "11388187"}, {"ref": "juniorcl/lenet-5-cnn-architecture-digit-recognizer", "kernel_id": "11869267"}, {"ref": "juniorcl/cnn-digit-recognizer-0-99178-score", "kernel_id": "11601712"}, {"ref": "takamotoki/simple-neural-network-from-scratch", "kernel_id": "11454275"}, {"ref": "munjaldesai/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "11706049"}, {"ref": "vivekky57/mnist-visualization-pca", "kernel_id": "11325430"}, {"ref": "akushe08/digit-recognizer", "kernel_id": "11858565"}, {"ref": "muhammeddalkran/cnn-with-mnist-dataset", "kernel_id": "11002517"}, {"ref": "amolikvivian/mnist-keras-cnn", "kernel_id": "11631678"}, {"ref": "yuhaoooo/kernel48a7a41929", "kernel_id": "11012899"}, {"ref": "manjjimnav/fastai2-mxresnet-ranger", "kernel_id": "11968832"}, {"ref": "katchupalvarenga/mnist-cnn-tensorflow-99", "kernel_id": "11129033"}, {"ref": "katchupalvarenga/mnist-cnn-em-portugu-s", "kernel_id": "11055227"}, {"ref": "onurakkse/digit-recognizer-with-keras", "kernel_id": "11722940"}, {"ref": "nguyendaitruongthanh/digit-recognizer-with-cnn", "kernel_id": "11359692"}, {"ref": "shivam316/mnist-with-tensorflow-and-nn-97-acc", "kernel_id": "11446598"}, {"ref": "shivam316/mnist-via-covnets-3-models-all-99-acc", "kernel_id": "11740711"}, {"ref": "nityam091097/nityam-digit-recognizer", "kernel_id": "11414432"}, {"ref": "utcarshagrawal/keras-vs-pytorch-a-perfect-guide", "kernel_id": "11195196"}, {"ref": "utcarshagrawal/digit-recognizer-detailed-explanation-of-cnn", "kernel_id": "11026933"}, {"ref": "karanshivsharan/mnist", "kernel_id": "11955850"}, {"ref": "armanjr/mnist-digit-recognizer", "kernel_id": "11633506"}, {"ref": "yuehaopan/mnist-data-classification-using-tensorflow-api", "kernel_id": "11320843"}, {"ref": "rafayelmkrtchyan/mnist", "kernel_id": "11517111"}, {"ref": "sejalkshirsagar/digit-recognizer-cnn-keras", "kernel_id": "11718807"}, {"ref": "anuragmishra2311/digit-recognizer-using-ann", "kernel_id": "11673697"}, {"ref": "muhammadshahzadkhan/mnist-digit-recognizer-using-cnn-0-99457-keras", "kernel_id": "11485474"}, {"ref": "sreyareddy15/digit-recog", "kernel_id": "11414718"}, {"ref": "ankan1998/digit-recognizer-using-ensemble-neural-nets-97-7", "kernel_id": "11446687"}, {"ref": "maciejgronczynski/digit-recognizer-my-take", "kernel_id": "11335922"}, {"ref": "tracyporter/recognise-the-digit-easy-sequential", "kernel_id": "11549076"}, {"ref": "tracyporter/recognise-the-digit-decision-tree", "kernel_id": "11508385"}, {"ref": "tracyporter/recognise-the-digit-xgb", "kernel_id": "11518344"}, {"ref": "jumpingmandt/various-approaches-for-digital-recognition", "kernel_id": "11109035"}, {"ref": "jumpingmandt/digital-recognition", "kernel_id": "11107968"}, {"ref": "jumpingmandt/digit-recognizer-easy-compare", "kernel_id": "11098601"}, {"ref": "danielpearson7/digit-recognizer-attempt-with-augmentation-0-993", "kernel_id": "11987910"}, {"ref": "hangy6/pytorch-simple-perceptron-96-585", "kernel_id": "11615875"}, {"ref": "toyox2020/mnist-with-keras-cnn-0-995-accuracy", "kernel_id": "11964083"}, {"ref": "gilf641/digit-recognition-using-pytorch", "kernel_id": "11114551"}, {"ref": "ahmedmurad1990/leaf-classification", "kernel_id": "11486725"}, {"ref": "gopalrameshdahale/mnist-digit-recognizer-knowledge", "kernel_id": "11791024"}, {"ref": "rahulpawade/digit-recognizer-xgboost", "kernel_id": "11181921"}, {"ref": "heeraldedhia/mnist-classifier-first-deep-learning-project", "kernel_id": "11821654"}, {"ref": "lokeshkum/keras-digit-recognizer-99-05-acuracy", "kernel_id": "11901108"}, {"ref": "qiyuange/8-epochs-0-99607-score-mnist-for-beginner-pytorch", "kernel_id": "11740787"}, {"ref": "safayet1610039/mnist-digit-recognizer-in-tf-image-augmentation", "kernel_id": "11441803"}, {"ref": "sahilmaheshwari/very-important-beginner-plots-with-mnist", "kernel_id": "11839729"}, {"ref": "sahilmaheshwari/the-lazy-person-s-guide-to-pytorch", "kernel_id": "11434573"}, {"ref": "rohjoshi828/mnist-neural-network", "kernel_id": "11200397"}, {"ref": "rohjoshi828/mnistgan", "kernel_id": "11921738"}, {"ref": "namanjain08/dnn-on-digitrecogniser-scratch", "kernel_id": "11612922"}, {"ref": "halljc/cnn-with-mnist-dataset", "kernel_id": "11059333"}, {"ref": "diksha659/digit-recognizer", "kernel_id": "11560697"}, {"ref": "deepak5960/simple-cnn-keras", "kernel_id": "11650108"}, {"ref": "utkarshvats/digit-recogniser-dnn-in-numpy", "kernel_id": "11612915"}, {"ref": "yujiyamauchi/kernel2cffdab16b", "kernel_id": "11064537"}, {"ref": "ravindrab/kernel1eb15e53fb", "kernel_id": "11075445"}, {"ref": "ravindrab/digit-recognition-first-competition", "kernel_id": "11075147"}, {"ref": "afrniomelo/epv-peq-aula-3-classifica-o", "kernel_id": "11978590"}, {"ref": "deipakksati/digit-recognizer-python-cnn-with-995-accuracy", "kernel_id": "11120463"}, {"ref": "gagandeepsohal/digit-cognizer-01", "kernel_id": "11519835"}, {"ref": "amarshah1999/amar-and-aarjav-digit-recognizer-nn", "kernel_id": "11590649"}, {"ref": "joshuabriones/cnn-for-digit-recognition", "kernel_id": "11214198"}, {"ref": "manthanbhagat/digitrecognizer-using-keras", "kernel_id": "11226330"}, {"ref": "ibrahimnofal/convolutional-neural-network-digits-recognizer", "kernel_id": "11287531"}, {"ref": "ritanshiagarwal/mnist-digit-recogniser-using-tensorflow", "kernel_id": "11468750"}, {"ref": "nknshmasaki/notebooked5b194b22", "kernel_id": "11666099"}, {"ref": "nknshmasaki/notebookc1493f48d8", "kernel_id": "11410763"}, {"ref": "sharvils/digit-recognizer", "kernel_id": "11396557"}, {"ref": "datawarriors/digit-recognizer-detailed-step-wise", "kernel_id": "11168270"}, {"ref": "weixsu/deep-learning-digital-recognizer-with-submissi", "kernel_id": "11953900"}, {"ref": "rohansahana/digit-recognization-with-random-forest", "kernel_id": "11402922"}, {"ref": "rohansahana/digit-recognization-using-logistic-regression", "kernel_id": "11396922"}, {"ref": "shubhibansal/digit-recognizer-accuracy-96-23", "kernel_id": "11447579"}, {"ref": "thomasstokes/digit-recognizer-using-keras", "kernel_id": "11458367"}, {"ref": "tangwoyih/different-architecture-of-cnn-in-mnist-fastai-v1", "kernel_id": "11412024"}, {"ref": "recursion17/digit-recognizer-kernel-simple-cnn-99-5", "kernel_id": "11001279"}, {"ref": "douglaskgaraujo/large-dense-layers-and-intense-dropout-mnist", "kernel_id": "11479473"}, {"ref": "vinesmsuic/digit-recognizer-cnn-data-augmentation", "kernel_id": "11220007"}, {"ref": "tejaschaudhari2811/digit-recogniser-solution", "kernel_id": "11332453"}, {"ref": "akshitrai/digit-recognizer", "kernel_id": "11255647"}, {"ref": "skoneti12/notebookc0fa83ec32", "kernel_id": "11669847"}, {"ref": "mia111111/kernel404", "kernel_id": "11054002"}, {"ref": "fabianbaf/notebookaf4593a5d4", "kernel_id": "11429495"}, {"ref": "darthmanav/explaining-alexnet-model-tutorial-fine-tuning-pca", "kernel_id": "11770597"}, {"ref": "darthmanav/multilayer-perceptron-fine-tuning-pca-t-sne-mnist", "kernel_id": "11966042"}, {"ref": "atuldhamijasvnit/digit-recognizer-sochastic-gradient-descent", "kernel_id": "11612563"}, {"ref": "joylunkad/digit-recognizer", "kernel_id": "11129698"}, {"ref": "abhishektyagi001/digit-recognizer", "kernel_id": "11862169"}, {"ref": "arseniybelkov/digit-recognizer", "kernel_id": "11439980"}, {"ref": "pushparajnimbalkar/cnn-first-try", "kernel_id": "11521681"}, {"ref": "krishanuadhikary/cv-basics-mnist-digit-classifier", "kernel_id": "11175672"}, {"ref": "krishanuadhikary/cv-basics-mnist-digit-classifier-convnet-0-99264", "kernel_id": "11286850"}, {"ref": "sergeycherepanov/digit-recognizer-kaggle-hello-world", "kernel_id": "11192704"}, {"ref": "foucardm/tutorial-top-15-mnist-digit-recognizer-on-tpu", "kernel_id": "11150782"}, {"ref": "foucardm/end-to-end-mnist-introduction-to-pytoch", "kernel_id": "11159547"}, {"ref": "foucardm/data-augmentation-on-tpu-for-mnist-classification", "kernel_id": "11159809"}, {"ref": "ekesif/mnist-with-ann-sklearn", "kernel_id": "11400091"}, {"ref": "marionhesse/cnn-for-digit-recognition", "kernel_id": "11516406"}, {"ref": "amandhanery/mlp-simples-com-keras-para-iniciantes", "kernel_id": "11172279"}, {"ref": "tamoghnobhattacharya/mnist-digit-classification", "kernel_id": "11432877"}, {"ref": "binavgautam/notebook056779dbb3", "kernel_id": "11817997"}, {"ref": "techpy/mnist-with-pytorch-cnn", "kernel_id": "11221430"}, {"ref": "yash92328/mnist-digit-recognizer", "kernel_id": "11949316"}, {"ref": "bugragundog/mnist-classifier", "kernel_id": "11257036"}, {"ref": "sahilofficial74/cnn-mnist", "kernel_id": "11984724"}, {"ref": "stanen/digit-recognizer-mnist", "kernel_id": "11634714"}, {"ref": "pybear/cnn-100-transfer-learning-data-augmentation", "kernel_id": "11420133"}, {"ref": "faker666/digit-recognizer-using-knn-cover-chris-deotte", "kernel_id": "11737222"}, {"ref": "mdrafiulbiswas/digit-recog-hbku", "kernel_id": "11828367"}, {"ref": "connectkishan1/digit-recognizer-mnist", "kernel_id": "11990076"}, {"ref": "ankege/digit-recognizer-sklearn-svm-approach", "kernel_id": "11782304"}, {"ref": "georgescriven/digit-recognition", "kernel_id": "11593117"}, {"ref": "parsasam/hand-written-number-recognition-2-mnist-model", "kernel_id": "11600662"}, {"ref": "flacotree/leaf-classification", "kernel_id": "11530975"}, {"ref": "saurabhprakashgiri/digit-recognizer", "kernel_id": "11936627"}, {"ref": "bilgehanaygun/notebooka0f381b0db", "kernel_id": "11783620"}, {"ref": "dextermojo/mnist-digit-recognizer", "kernel_id": "11696372"}, {"ref": "dietzschdaniel/cnn-digit-recognition", "kernel_id": "11786525"}, {"ref": "juliakislitsyna/notebookef5b4e3e6a", "kernel_id": "11724019"}, {"ref": "youssefkizou/tensorflow-digit-recognizer-using-keras", "kernel_id": "11966944"}, {"ref": "thomasartin/digit-recognizer-cnn-keras", "kernel_id": "11949999"}, {"ref": "raghuramr/mnist-by-beginner-with-fastai-resnet34", "kernel_id": "11981551"}, {"ref": "joseerlang/pytorch-ligthning", "kernel_id": "12748509"}, {"ref": "sunsern/fashion-mnist-keras-cnn-94", "kernel_id": "12111218"}, {"ref": "rishushrivastava/mnist-training-using-pytorch-cnn", "kernel_id": "12227852"}, {"ref": "jsdae1/mnist-sklearn-tutorial", "kernel_id": "12432184"}, {"ref": "amrnasr/exercise-deep-learning-from-scratch", "kernel_id": "12138873"}, {"ref": "ankitdatascience/cnn-for-digit-recognizer", "kernel_id": "12572279"}, {"ref": "yasermarey/mnist-is-a-solved-problem-0-997-accuracy-top-6", "kernel_id": "12241452"}, {"ref": "espressofx/22p22c0480-weerasak-w4hw1-12102020-mnist-model", "kernel_id": "12253272"}, {"ref": "agentauers/demo-mnist", "kernel_id": "12234781"}, {"ref": "olgabelitskaya/recipes-of-classification", "kernel_id": "12275253"}, {"ref": "geekysaint/solving-mnist-using-pytorch", "kernel_id": "12595471"}, {"ref": "hungphan/keras", "kernel_id": "12229499"}, {"ref": "hungphan/pytorch-version", "kernel_id": "12206059"}, {"ref": "mohityayadav/ann-and-knn", "kernel_id": "12373018"}, {"ref": "thulesen/mnist-basic", "kernel_id": "12004549"}, {"ref": "nitinranjansharma/mnist-try-1", "kernel_id": "12327863"}, {"ref": "heitorbaldo/digit-recognition-with-cnn-using-keras", "kernel_id": "12762404"}, {"ref": "spaghettiidawg666/mnist-arnav-sangamnerkar", "kernel_id": "12617004"}, {"ref": "dalemu/intro-to-resnet-digit-recognizer-competition", "kernel_id": "12345695"}, {"ref": "swastik25/mnist-digit-recognizer-with-pytorch", "kernel_id": "12263000"}, {"ref": "alexinicab/keras-lenet5", "kernel_id": "12012172"}, {"ref": "alexinicab/keras-largenet", "kernel_id": "12012446"}, {"ref": "docxian/the-beauty-of-correlation", "kernel_id": "12611204"}, {"ref": "arbazkhan971/datascience-for-beginner-python", "kernel_id": "12092239"}, {"ref": "khangai11/notebookea071f8a8a", "kernel_id": "12220473"}, {"ref": "ravikiranbhonagiri/digit-recognizer-classifiers", "kernel_id": "12297935"}, {"ref": "ravikiranbhonagiri/digit-recognizer-tf-dnn-classifier", "kernel_id": "12299991"}, {"ref": "tianpang/pytorch-very-simple-yet-accurate-tutorial-99", "kernel_id": "12686477"}, {"ref": "leangab/cnn-keras-0-995", "kernel_id": "12120426"}, {"ref": "mahmoud1youssef/logistic-regression-from-scratch", "kernel_id": "12895956"}, {"ref": "yauhenm/notebookb637431ffa", "kernel_id": "12875042"}, {"ref": "henry090/r-and-fastai", "kernel_id": "12453195"}, {"ref": "aemeliazar/digit-recognizer-with-random-forest", "kernel_id": "12923895"}, {"ref": "bjoernjostein/mnist-using-mlp", "kernel_id": "12505160"}, {"ref": "cristianfat/digit-recogniser", "kernel_id": "12075990"}, {"ref": "tomasmantero/digit-recognition-mnist-keras-cnn", "kernel_id": "12286806"}, {"ref": "philsaurabh/digit-recognizer-trying-alexnet-mobilenet", "kernel_id": "12838303"}, {"ref": "rosebv/old-train-model-with-tensorflow-cloud", "kernel_id": "12290285"}, {"ref": "rosebv/test-deploy-tensorflow-model-to-ai-platform", "kernel_id": "12870924"}, {"ref": "rosebv/train-model-with-tensorflow-cloud", "kernel_id": "12984932"}, {"ref": "pavelpy/lenet-5-cnn", "kernel_id": "12522935"}, {"ref": "jagdmir/digit-recognizer-simple-model-with-0-98150-score", "kernel_id": "12644849"}, {"ref": "gabrielmilan/wisard-baseline", "kernel_id": "12670856"}, {"ref": "bhaskar47/scoring-almost-100-on-mnist", "kernel_id": "12201447"}, {"ref": "pankajg24/digit-recognition-with-lenet-5", "kernel_id": "12305706"}, {"ref": "pankajg24/digit-recognition-with-basic-cnn", "kernel_id": "12093469"}, {"ref": "taiguang/simple-cnn-model-for-mnist", "kernel_id": "12216311"}, {"ref": "lpugens/digit-recognizer", "kernel_id": "12944885"}, {"ref": "howlingwolfs1989/digit-recognizer", "kernel_id": "12973217"}, {"ref": "holoong9291/cnn-keras-acc-0-997-top-6", "kernel_id": "12427459"}, {"ref": "christianalvarez/umap-for-classification-problems", "kernel_id": "12632052"}, {"ref": "e194235/mnist-digit-recognition-with-cnn-keras", "kernel_id": "12242884"}, {"ref": "akoraingdkb/dkb-mnist-with-cnn-accuracy-98", "kernel_id": "12704519"}, {"ref": "alfredomaussa/basic-digit-classification", "kernel_id": "12636553"}, {"ref": "kentaroh34/mnist-2cnn", "kernel_id": "12505636"}, {"ref": "kentaroh34/mnist-data-augmentation", "kernel_id": "12508460"}, {"ref": "kentaroh34/mnist-mlp", "kernel_id": "12500723"}, {"ref": "kentaroh34/mnist-2cnn-with-augment", "kernel_id": "12509734"}, {"ref": "anujsoni/notebooka8ebb2330b", "kernel_id": "12000878"}, {"ref": "dattavarma/back-propagation-algorithm-neural-net", "kernel_id": "12104908"}, {"ref": "rajasayanam/mnist-cnn", "kernel_id": "12730322"}, {"ref": "rajasayanam/neuralnetwork-mnist-assignment", "kernel_id": "12322025"}, {"ref": "orion29/mnist-fastai-v2", "kernel_id": "12786845"}, {"ref": "ikaynov/kaggle-introduction-digit-recognition", "kernel_id": "12510073"}, {"ref": "soham1024/plotly-all-visualizations", "kernel_id": "12484299"}, {"ref": "soham1024/know-about-different-automl-frameworks", "kernel_id": "12022920"}, {"ref": "ouwyukha/day-7-challenge-digit-recognizer", "kernel_id": "12430234"}, {"ref": "bhavikpandya79/digit-recogniser-bhavik", "kernel_id": "12670322"}, {"ref": "hemendrasr/mnist-dataset-classification", "kernel_id": "12156955"}, {"ref": "offmann/digit-recognizer-cv-classics", "kernel_id": "12817377"}, {"ref": "tt195361/digit-recognizer-resnet50-only-train-csv-0-99778", "kernel_id": "12607235"}, {"ref": "ajithmurugaian1/mnist-classification-cnn-ajith", "kernel_id": "12557804"}, {"ref": "ajithmurugaian1/dl-with-pytorch-mnist-classification-ajith", "kernel_id": "12201875"}, {"ref": "aqibjavaid0910/96-accuracy-pytorch-digitrecognizer-simple-nnet", "kernel_id": "12690470"}, {"ref": "bhaskar321/svm-digit-recognition-for-beginners", "kernel_id": "12667547"}, {"ref": "osmanballi/transfer-learning-ann-knn-svm-dt", "kernel_id": "12769716"}, {"ref": "heitorfalcao/digit-recognizer-with-data-augmentation-99-610", "kernel_id": "12195055"}, {"ref": "supplejade/mnist-pytorch-cnn-model", "kernel_id": "12286174"}, {"ref": "sumeetraj14/dl-with-pytorch-mnist-classification", "kernel_id": "12322701"}, {"ref": "maheer/fastai", "kernel_id": "12289554"}, {"ref": "matlaz/mnist-digit-recognizer-fft-cnn", "kernel_id": "12653007"}, {"ref": "vedica1011/notebook9685617f69", "kernel_id": "12429228"}, {"ref": "harshavc123/dl-with-pytorch-mnist-classification", "kernel_id": "12323299"}, {"ref": "kaustubhshirpurkar/cnn-mnist-ensemble-method", "kernel_id": "12860543"}, {"ref": "affand20/cnn-deep-digit-recognizer", "kernel_id": "12468040"}, {"ref": "affand20/svm-deep-digit-recognizer", "kernel_id": "12940809"}, {"ref": "darshanapatel/digitrecognizer-cnn", "kernel_id": "12778146"}, {"ref": "saranggokte/dl-with-pytorch-mnist-classification", "kernel_id": "12325659"}, {"ref": "nipunarora8/cnn-from-scratch-99-test-accuracy", "kernel_id": "12287915"}, {"ref": "akshayamrit/digit-recognizer-pytorch", "kernel_id": "12321511"}, {"ref": "mdhamani/digitrecognizer-pytorch-ann", "kernel_id": "12158968"}, {"ref": "image69of69pie/digit-recognizer-cnn", "kernel_id": "12183464"}, {"ref": "tfukuda675/pytorch-for-mnist-and-cifar10", "kernel_id": "12214565"}, {"ref": "tfukuda675/mnist-numpy-neural-net", "kernel_id": "12339420"}, {"ref": "tfukuda675/simple-nn-with-pytorch", "kernel_id": "12318612"}, {"ref": "tfukuda675/anaconda-pkg-lic-check", "kernel_id": "12023115"}, {"ref": "tfukuda675/for-mnist-pytorch", "kernel_id": "12060595"}, {"ref": "anujpr/digit-recognition-using-pytorch", "kernel_id": "12354122"}, {"ref": "cstungthanh/mnist-tung", "kernel_id": "12182094"}, {"ref": "shweta2407/mnist-digits-recognizer-using-pytorch", "kernel_id": "12098814"}, {"ref": "swetanikki/notebook50e75b3278", "kernel_id": "12410863"}, {"ref": "calcium1992/digit-recognizer-knn-cvaccuracy0-97", "kernel_id": "12635988"}, {"ref": "isurualagiyawanna/digit-recognizer-with-keras-mobilenet", "kernel_id": "12521355"}, {"ref": "teyjusdarshan/digit-recognition", "kernel_id": "12237646"}, {"ref": "aman1608/dl-with-pytorch-mnist-classification-aman-gupta", "kernel_id": "12327031"}, {"ref": "aman1608/mnist-cnn-aman-gupta", "kernel_id": "12729821"}, {"ref": "jackstapleton/mnist-mlp-baseline", "kernel_id": "12444775"}, {"ref": "tharhtetsan/getting-start-with-tensorflow-cnn", "kernel_id": "12233585"}, {"ref": "imamrizaldi28/day-7-challenge-digit-recognizer-imamrizaldi", "kernel_id": "12451030"}, {"ref": "rishabhdhyani4/digit-recognizer-using-keras-acc-0-99625", "kernel_id": "12353296"}, {"ref": "colinsky/mnist-digit-recognition-using-svm", "kernel_id": "12438098"}, {"ref": "ankur561999/digit-recognition-using-cnn", "kernel_id": "12325524"}, {"ref": "mabalogun/data-recognition-with-cnn", "kernel_id": "12115975"}, {"ref": "mabalogun/data-recognition-with-conv-neural-network", "kernel_id": "12506433"}, {"ref": "chs3846/mnist", "kernel_id": "12456499"}, {"ref": "sohamsave44/cs755-research-project-notebook-3", "kernel_id": "12898128"}, {"ref": "myuvarajmp/digit-recognizer-classifier", "kernel_id": "12302991"}, {"ref": "zhuowenzou/visualizing-mnist-using-a-variational-autoencoder", "kernel_id": "12001968"}, {"ref": "johntharian/mnist-cnn-with-0-98857-acc", "kernel_id": "12775107"}, {"ref": "ivanmsiegfried/digit-recognizer-using-mnist-dataset", "kernel_id": "12274381"}, {"ref": "chumajin/digitrecognizer-practice", "kernel_id": "12145914"}, {"ref": "aibeats/kannadamnist-knn-funjavasf", "kernel_id": "12292119"}, {"ref": "martinhaha/practice-cv", "kernel_id": "12790887"}, {"ref": "lukaszborecki/digit-recognizer-cnn-99-67", "kernel_id": "12094088"}, {"ref": "yongjunl/digit-recognizer", "kernel_id": "12130991"}, {"ref": "rizkioktafianto/vgg-like-model-to-mnist", "kernel_id": "12282829"}, {"ref": "shantamkar/notebook20df787221", "kernel_id": "12326701"}, {"ref": "czyzi0/digit-recognizer", "kernel_id": "12244931"}, {"ref": "niksapraljak/variational-autoencoders-pytorch", "kernel_id": "12845863"}, {"ref": "arturnrnberg/digit-recognizer-keras-cnn-0-993", "kernel_id": "12305349"}, {"ref": "arturnrnberg/digit-recognizer-keras", "kernel_id": "12114097"}, {"ref": "nizarmasmoudi/digit-recognizer", "kernel_id": "12302438"}, {"ref": "safacanmetin/exercise-dropout-and-strides-for-larger-models", "kernel_id": "12027088"}, {"ref": "safacanmetin/exercise-deep-learning-from-scratch", "kernel_id": "12026728"}, {"ref": "belugawhale/a-simple-approach-to-apply-cnn", "kernel_id": "12435556"}, {"ref": "ashrafkhan94/numbers-classification-pytorch-for-beginners", "kernel_id": "12938821"}, {"ref": "muhammadhasnainkhan/mnist-99-96-accuracy-using-cnn", "kernel_id": "12742518"}, {"ref": "tanutapiwong/mnist-keras-101", "kernel_id": "12703024"}, {"ref": "tanutapiwong/mnist-101", "kernel_id": "12701479"}, {"ref": "harishkrishna0412/dl-with-pytorch-mnist-classification", "kernel_id": "12325138"}, {"ref": "jayeshbelsare/dl-with-pytorch-mnist-classification", "kernel_id": "12319255"}, {"ref": "anandkodakkad/dl-with-pytorch-mnist", "kernel_id": "12239026"}, {"ref": "anandkodakkad/mnist-cnn", "kernel_id": "12730255"}, {"ref": "sankethudupi/mnist-cnn-sanketh-udupi", "kernel_id": "12733231"}, {"ref": "sankethudupi/mnist-digit-recognizer", "kernel_id": "12326381"}, {"ref": "ahmetyasrakbal/mnist-ensemble-learning", "kernel_id": "12936864"}, {"ref": "darshanvr/dl-with-pytorch-mnist-classification", "kernel_id": "12323834"}, {"ref": "phaninanugonda/mnist", "kernel_id": "12244639"}, {"ref": "vaibhavkumar808/introduction-to-ann-on-digit-set-keras", "kernel_id": "12974744"}, {"ref": "vishalsingh123/data-augmentation-model-stacking-cnn-acc-99-621", "kernel_id": "12348758"}, {"ref": "vishalsingh123/mnist", "kernel_id": "12005125"}, {"ref": "temmyzeus/mnist-with-pytorch-for-beginners", "kernel_id": "12395726"}, {"ref": "aymenhanzouli006/first-submission", "kernel_id": "12141768"}, {"ref": "akashdusane/mnist-a-basic-cnn-model-99", "kernel_id": "12592967"}, {"ref": "mratel/digit-recognizer", "kernel_id": "12531495"}, {"ref": "thibautlemarchand/mnist-data", "kernel_id": "12006608"}, {"ref": "danusshgarlapati/convolutional-neural-network-cnn-tutorial", "kernel_id": "12855752"}, {"ref": "shuntakinami/practice-digit-recog", "kernel_id": "12680723"}, {"ref": "shivambabbar/pytorch-digit-recognizer", "kernel_id": "12326087"}, {"ref": "benroshan/digit-fashion-mnist-ann", "kernel_id": "12417824"}, {"ref": "thomaskonstantin/digit-recognition-a-mathematical-approach", "kernel_id": "12506708"}, {"ref": "viacheeselove/voting-mnist", "kernel_id": "12713765"}, {"ref": "viacheeselove/cnn-mnist", "kernel_id": "12714797"}, {"ref": "lngnam/number-digit-recognizer-using-deepneural", "kernel_id": "12329427"}, {"ref": "namansood/resnet50-training-on-mnist-transfer-learning", "kernel_id": "12974709"}, {"ref": "shrutisnair/dl-mnist-classification", "kernel_id": "12320382"}, {"ref": "furkanyilmaz99/ba-l-yorum", "kernel_id": "12433980"}, {"ref": "takeshikobayashi/mnist-cnn-keras-with-optuna-visualization", "kernel_id": "12217544"}, {"ref": "jamesajeeth/mnist-classification-using-pytorch", "kernel_id": "12250590"}, {"ref": "jamesajeeth/mnist-cnn", "kernel_id": "12730058"}, {"ref": "tqch2020/mnist-torch-cnn-da-bn-dropout-ensemble-acc99-6", "kernel_id": "12477197"}, {"ref": "omkarkonduskar/digit-recognizor-keras-cnn", "kernel_id": "12297004"}, {"ref": "prajwalballal/dl-with-pytorch-mnist-classification", "kernel_id": "12325763"}, {"ref": "iamandrewliao/mnist-cnn", "kernel_id": "12482444"}, {"ref": "germanoyoneda/keras-cnn-digit-recognizer", "kernel_id": "12877382"}, {"ref": "saishankargyenagi/recognising-handwritten-digits", "kernel_id": "12183569"}, {"ref": "shubham76/digit-reconizer-with-cnn", "kernel_id": "12367280"}, {"ref": "giwrgosagg/notebook1778b4ec23", "kernel_id": "12156867"}, {"ref": "sachinsharma1123/mnist-for-freshers", "kernel_id": "12107650"}, {"ref": "tanguyperennec/tf-from-scratch-with-exemples-digit-recognizer", "kernel_id": "12529129"}, {"ref": "rohitumredkar/mnist-digit-reconizer-with-simple-nn", "kernel_id": "12319521"}, {"ref": "suryanshagarwal/digit-classifier-cnn", "kernel_id": "12687012"}, {"ref": "ssaisuryateja/digit-recognizer", "kernel_id": "12110917"}, {"ref": "rajkumarthiruchelvam/neuralnetwork-mnist-assignment", "kernel_id": "12300997"}, {"ref": "sratnaadhikari/digit-recognizer-pytorch", "kernel_id": "12911135"}, {"ref": "aayush9753/digitrecognition-using-pytorch", "kernel_id": "12169128"}, {"ref": "muhammadhanif08/mnist", "kernel_id": "12816125"}, {"ref": "markuslill/simple-cnn-for-mnist-digit-recognizing", "kernel_id": "12165565"}, {"ref": "renancarvalho/digit-recognition", "kernel_id": "12696466"}, {"ref": "sudhakordassubeen/data-recognization-with-the-help-of-cnn", "kernel_id": "12053990"}, {"ref": "hansonchao/gpu-vs-cpu-in-digit-recognizer", "kernel_id": "12684742"}, {"ref": "suryaaseran/different-approach-to-digit-recognizer", "kernel_id": "12921629"}, {"ref": "rajeevtyagi/mnist-first-look", "kernel_id": "12963297"}, {"ref": "rajeevtyagi/digit-recognizer-through-tf2-x-keras", "kernel_id": "12997499"}, {"ref": "geunwoosong/deep-neural-network-keras-way", "kernel_id": "12664944"}, {"ref": "kkt4828/multi-layer-perceptron-score-0-90417", "kernel_id": "12093076"}, {"ref": "yudhishthirsingh/from-total-intro-to-hands-on-prediction", "kernel_id": "12915783"}, {"ref": "gzemmert/digit-recognizer", "kernel_id": "12702227"}, {"ref": "vivekmuraleedharan/dl-with-pytorch-mnist-classification", "kernel_id": "12293847"}, {"ref": "shivamjohri/mnist-with-cnn-and-data-augmentation", "kernel_id": "12001799"}, {"ref": "christopherlemke/cnn-using-keras-tuner", "kernel_id": "12805249"}, {"ref": "wwsalmon/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "12946207"}, {"ref": "toyox2020/mnist-using-keras-cnn-ensembling-0-996-accuracy", "kernel_id": "12099647"}, {"ref": "mahdimahdi55/leaf-classification", "kernel_id": "12882914"}, {"ref": "heeraldedhia/know-about-different-automl-frameworks", "kernel_id": "12037247"}, {"ref": "charanrajshetty/digit-recognition-with-lenet-98-6-accuracy", "kernel_id": "12392363"}, {"ref": "raghavjha858/hand-written-digit-recognized-dnn-cnn", "kernel_id": "12700679"}, {"ref": "lingyuxiong/digit-recognizer", "kernel_id": "12240204"}, {"ref": "alok10/number-classification-cnn", "kernel_id": "12233077"}, {"ref": "msiddhu/digit-recognizer", "kernel_id": "12419932"}, {"ref": "mohandgamal/cnn-for-begineers", "kernel_id": "12247040"}, {"ref": "rajeev064/cnn-keras-accuracy-0-95553-mnist", "kernel_id": "12763275"}, {"ref": "bhaveshnaidu/pca-and-t-sne-on-digit-mnist", "kernel_id": "12545382"}, {"ref": "ruandiassantana/digit-recognizer", "kernel_id": "12061993"}, {"ref": "rociojube/mnist-rocio", "kernel_id": "12305434"}, {"ref": "kgmgyan57/digit-recognizer-with-tensorflow", "kernel_id": "12722446"}, {"ref": "waquarhaseeb/digit-recognizer-the-finest-example-for-beginners", "kernel_id": "12351449"}, {"ref": "onurbaris/mnist-digit-recognition-with-0-994-accuracy", "kernel_id": "12281424"}, {"ref": "sifonsoul/97-on-mnist-with-a-single-decision-tree-t-sne", "kernel_id": "12366617"}, {"ref": "siddarthdayasagar/digit-recognizer-easy-99-acc", "kernel_id": "12334179"}, {"ref": "aarontanjaya/cnn-digit-recognizer", "kernel_id": "12047031"}, {"ref": "poramintrlimpaporn/digit-recogniser", "kernel_id": "12541301"}, {"ref": "aadarshraj4444/cnn-digit-recognizer-classification-0-992", "kernel_id": "12138733"}, {"ref": "bartoszpieniak/mnist-cnn-da-ensemble", "kernel_id": "12445197"}, {"ref": "vikrantrajput/notebook2bdffffaf6", "kernel_id": "12468048"}, {"ref": "ashishsingh226/cnn-model-using-image-generator", "kernel_id": "12682895"}, {"ref": "aniroxx/mnist-data-kaggle", "kernel_id": "12577732"}, {"ref": "brunotriebus/notebookaaa955e698", "kernel_id": "12685240"}, {"ref": "mehmetlaudatekman/mnist-dataset-cnn-with-keras", "kernel_id": "12086307"}, {"ref": "dmitriyushakov/digit-recognizer-cnn-keras", "kernel_id": "12744464"}, {"ref": "dmitriyushakov/digit-recognizer-cnn", "kernel_id": "12623933"}, {"ref": "wevertonmdrs/basic-cnn-digit-recognition", "kernel_id": "12787718"}, {"ref": "harshalgadhe/digit-recognition", "kernel_id": "12641723"}, {"ref": "artemnaumchak/notebook1bdc317289", "kernel_id": "12591772"}, {"ref": "mohamedhasballa/digit-recognizer", "kernel_id": "12428211"}, {"ref": "tomsegal/tom-segal-s-digit-recognizer", "kernel_id": "12139336"}, {"ref": "quantumsnowball/digit-recognizer", "kernel_id": "12012054"}, {"ref": "anantgupt/mnist-digit-recognition-99567-score", "kernel_id": "12294222"}, {"ref": "martinlay/cnn-keras", "kernel_id": "12875372"}, {"ref": "nurrona/convolutional-neural-network-cnn", "kernel_id": "12777104"}, {"ref": "koanam/notebook-digit-recognition", "kernel_id": "12382365"}, {"ref": "yingminzhao/digireco-final-submission-99-953-20201012", "kernel_id": "12230744"}, {"ref": "datakagglesem/handwritten-digits-recognition-with-random-forest", "kernel_id": "12828665"}, {"ref": "semueltumbal/letter-recognition", "kernel_id": "12965619"}, {"ref": "goliothzorenfredrik/handwritten-digits-recognition-random-forest", "kernel_id": "12964824"}, {"ref": "abinayajayaprakash/cnn-digit-recognition", "kernel_id": "12648433"}, {"ref": "pranoseedavoor/notebook48e809666f", "kernel_id": "12219286"}, {"ref": "guanyj/digit-recognizer", "kernel_id": "12370963"}, {"ref": "bfgrainger/convolutions-tensorflow2", "kernel_id": "12768232"}, {"ref": "yommnamohamed/digit-reconizier", "kernel_id": "12421751"}, {"ref": "paulpernalon/mnist-dl", "kernel_id": "12185623"}, {"ref": "iamyajat/cnn-digit-recognizer", "kernel_id": "12856244"}, {"ref": "sumedhagupta01/notebooke8c7d6bb70", "kernel_id": "12016967"}, {"ref": "yaogengqi/mnist-by-lenet", "kernel_id": "12075272"}, {"ref": "vatshimanshu/mnist-dataset-mlp-gpu-pytorch", "kernel_id": "12081314"}, {"ref": "peternagymathe/notebook-mnist-first-kaggle", "kernel_id": "12671672"}, {"ref": "aerrkhis/digit-recognizer", "kernel_id": "12174258"}, {"ref": "shlezinger/mnist-digit-recognition", "kernel_id": "12145521"}, {"ref": "marinescuana/digit-recognizer-tensorflow-mnist-keras", "kernel_id": "12278049"}, {"ref": "israasaleh/notebooke5f5f7d047", "kernel_id": "12457916"}, {"ref": "nehasingh999/digit-recognizer-solution", "kernel_id": "12357998"}, {"ref": "sorasl/digit-reconize-by-cnn", "kernel_id": "12292244"}, {"ref": "nikosraftogiannis/digit-recognizer-cnn", "kernel_id": "12631151"}, {"ref": "tharakasampath/digitrecognizer", "kernel_id": "12686729"}, {"ref": "franklinperseuds/cnn-simples-com-keras-para-iniciantes", "kernel_id": "12445853"}, {"ref": "davidbhunter/david-s-digit-recogniser", "kernel_id": "12806312"}, {"ref": "foolishboi/mnist-99-sequential", "kernel_id": "12957898"}, {"ref": "praneedhaweerakoon/digitrecognizer", "kernel_id": "12959002"}, {"ref": "rahmawans/day-7-challenge-digit-recognizer-hooboy", "kernel_id": "12450473"}, {"ref": "anujmangla93/digit-recognizer-pytorch", "kernel_id": "12322313"}, {"ref": "alekseibragin/kaggle-mnist-recognizer", "kernel_id": "12405397"}, {"ref": "pingan001/knn-framework", "kernel_id": "12424494"}, {"ref": "ebrahimshoman/notebook937b035266", "kernel_id": "12371579"}, {"ref": "saztorralba/mnist-cnnimageclassifier", "kernel_id": "12615806"}, {"ref": "rafaelzinnilopes/cnn-simples-com-keras-para-iniciantes", "kernel_id": "12445848"}, {"ref": "indrapratamax/convolutional-neural-network-cnn-tutorial", "kernel_id": "12812930"}, {"ref": "jianchangliu/mnist-a-basic-cnn-model-99", "kernel_id": "12697874"}, {"ref": "shiben/success", "kernel_id": "12583329"}, {"ref": "haoyuandong/homework4-question3", "kernel_id": "12735109"}, {"ref": "haoyuandong/homework4-question-2", "kernel_id": "12722153"}, {"ref": "haoyuandong/homework-4-question-1", "kernel_id": "12723867"}, {"ref": "chuckedfromspace/image-augmentation-with-preprocessing-layers", "kernel_id": "12983127"}, {"ref": "vbtiai/kaggle-introduction-digit-recognition", "kernel_id": "12624748"}, {"ref": "malechi/notebook51515391bd", "kernel_id": "12698465"}, {"ref": "alexandremaneta/introduction-cnn-avec-keras", "kernel_id": "12709290"}, {"ref": "qijun5683/digit-recognizer", "kernel_id": "12862208"}, {"ref": "yeheskielwonte/handwrittendigitsrecognition-dataset", "kernel_id": "12923799"}, {"ref": "raynerhansyesenduk/handwritten-digits-recognition-with-random-forest", "kernel_id": "12923986"}, {"ref": "rooshroosh/mlp-mnist-dataset-digit-recognizer", "kernel_id": "13748672"}, {"ref": "thoolihan/keras-cnn-mnist", "kernel_id": "13371489"}, {"ref": "hyohei/digit-recognizer-sample", "kernel_id": "13360039"}, {"ref": "nagsdata/cnn-from-scratch", "kernel_id": "13754915"}, {"ref": "vinayjaju/tensorflow-2-starter", "kernel_id": "13827598"}, {"ref": "lc4311/notebook179a5e2372", "kernel_id": "13403116"}, {"ref": "wanyuaaaa/digit-recognition-xgboost", "kernel_id": "13854406"}, {"ref": "ouba64/digit-recognizer-cnn-ensemble-source", "kernel_id": "13747932"}, {"ref": "martinborgt/notebook675fd47011", "kernel_id": "13846525"}, {"ref": "vaisakhvenugopal/mnist-digitrecogniser-submission", "kernel_id": "13661018"}, {"ref": "tallesviana/basic-pytorch-kornia-mnist", "kernel_id": "13414325"}, {"ref": "ashwanikumar04/digit-recognizer-inception-model-from-scratch", "kernel_id": "13792513"}, {"ref": "ashwanikumar04/digit-recognizer-kfold-validation", "kernel_id": "13797994"}, {"ref": "ashwanikumar04/digit-recognizer-keras-classes", "kernel_id": "13773093"}, {"ref": "dalemu/image-reconstruction-with-autoencoders", "kernel_id": "13374670"}, {"ref": "chandraroy/unsupervised-learning-with-t-sne", "kernel_id": "13775200"}, {"ref": "howeverforever/digit-recognizer-cnn-using-tf-keras", "kernel_id": "13498210"}, {"ref": "nurdin132/digit-recognizer", "kernel_id": "13486470"}, {"ref": "gomes555/simple-gpu-deep-learning-keras-cnn-in-r", "kernel_id": "13006576"}, {"ref": "mischva11/cnn-mnist", "kernel_id": "13862328"}, {"ref": "mooncrater/mnist", "kernel_id": "13009821"}, {"ref": "parthpandey394/mnist-cnn", "kernel_id": "13051349"}, {"ref": "pemtaira/digit-recognizer-fastai-v2-2020", "kernel_id": "13783954"}, {"ref": "fomfom/digit-recognizer-torch", "kernel_id": "13819614"}, {"ref": "prabhat12/gans-mnist", "kernel_id": "13359104"}, {"ref": "antonisk6/digit-recognizer-nn", "kernel_id": "13674955"}, {"ref": "aemeliazar/digit-recognision-with-perceptron", "kernel_id": "13379506"}, {"ref": "rahulbana/pytorch-digit-recognizer", "kernel_id": "13478202"}, {"ref": "craigmthomas/beginner-guide-to-digit-recognition", "kernel_id": "13867423"}, {"ref": "craigmthomas/beginner-guide-to-digit-recognition-part-2", "kernel_id": "13915125"}, {"ref": "peterpetrov826/digit-recognizer", "kernel_id": "13214038"}, {"ref": "abakamousa/digit-recongnizer-with-cnn", "kernel_id": "13858887"}, {"ref": "aicentral/image-transfer-learning-using-resnet50", "kernel_id": "13103724"}, {"ref": "aicentral/mnist-using-cnn-keras", "kernel_id": "13021235"}, {"ref": "pranshu29/sklearn-classifiers-knn", "kernel_id": "13311073"}, {"ref": "adityagupta008/mutli-class-classification-tensorflow", "kernel_id": "13235142"}, {"ref": "najiaboo/notebook37488bd23f", "kernel_id": "13315815"}, {"ref": "fengjim/mnist", "kernel_id": "13598763"}, {"ref": "volkandl/mnist-turkce-aciklamali-derin-ogrenmeye-giris-2", "kernel_id": "13957060"}, {"ref": "ekshusingh/my-torch-implementation", "kernel_id": "13485002"}, {"ref": "mrinath/another-simple-and-fast-pytorch-pipeline", "kernel_id": "13806268"}, {"ref": "baptistelen/digit-recognizer-avec-lenet-5", "kernel_id": "13178983"}, {"ref": "adi9999/mnist", "kernel_id": "13425279"}, {"ref": "nelsongomesneto/digit-recognizer-tcc", "kernel_id": "13816969"}, {"ref": "yogeshsangtani/digit-recognizer-competition", "kernel_id": "13601681"}, {"ref": "acuacalee/assignment", "kernel_id": "13148729"}, {"ref": "hankarmostafa/digit-recognizer-using-cnn-model", "kernel_id": "13136919"}, {"ref": "tobiasmmmmmm/digitrecognizer", "kernel_id": "13659408"}, {"ref": "sungho93/chainer-mnistclassifier-base", "kernel_id": "13765645"}, {"ref": "bschuss02/mnist-daml", "kernel_id": "13609813"}, {"ref": "kritikseth/mnist-99-98-cnn-flask-application", "kernel_id": "13352732"}, {"ref": "miesnerjacob/digit-recognizer-cnn", "kernel_id": "13093045"}, {"ref": "hassanw65/digit-recognizer-cnn", "kernel_id": "13780555"}, {"ref": "jaytwo97/novel-mnist-committee-digit-classifier-with-keras", "kernel_id": "13088098"}, {"ref": "alexnatal/cnn-data-augmentation", "kernel_id": "13237351"}, {"ref": "siddalore/mnist-convnet-keras", "kernel_id": "13917457"}, {"ref": "lmtorax/mnist-barycenters", "kernel_id": "13518698"}, {"ref": "lmtorax/digitrecognizer-ml-lab-leo", "kernel_id": "13368512"}, {"ref": "vitorgamalemos/generating-digits-with-gans", "kernel_id": "13776382"}, {"ref": "rithik27/digit-recognizer-hand-written", "kernel_id": "13072805"}, {"ref": "rawanmajedlazkani/digit-recognizer", "kernel_id": "13379516"}, {"ref": "aquaregis32/digit-recognition", "kernel_id": "13657467"}, {"ref": "mathlasker/digits-recognizer", "kernel_id": "13971433"}, {"ref": "muslump/basic-digit-classification-mlp", "kernel_id": "13624418"}, {"ref": "mohsin999/digit-recognizer-using-ensemble-learning", "kernel_id": "13338393"}, {"ref": "siddharth1234/siddigit", "kernel_id": "13478806"}, {"ref": "gsmoura/digits-recognizer", "kernel_id": "13231007"}, {"ref": "kushagratandon12/digit-recognizer-tensorflow-keras", "kernel_id": "13999596"}, {"ref": "cosmosankur/cnn-keras-mnsit-for-beginners", "kernel_id": "13388382"}, {"ref": "shwetaketu/mnist-classification-using-gradient-boost", "kernel_id": "13500141"}, {"ref": "ashwinrachha1/digit-recognizer", "kernel_id": "13036569"}, {"ref": "nayuts/how-to-use-mxnet-gluon-and-tune-by-optuna", "kernel_id": "13449808"}, {"ref": "shyam21/mnist-strater-code", "kernel_id": "13752109"}, {"ref": "azuremis/digit-recogniser", "kernel_id": "13883499"}, {"ref": "ravijain01/mnist-using-cnn-for-beginners", "kernel_id": "13071393"}, {"ref": "andreykozlov/pytorch-with-resnet18", "kernel_id": "13169903"}, {"ref": "jacquelinehong/easy-to-follow-cnn-digit-recognizer", "kernel_id": "13278269"}, {"ref": "dhruv19/digit-recognizer-cnn-using-tensorflow", "kernel_id": "13356226"}, {"ref": "ibrahimyildiz/digit-recognizer-mnist", "kernel_id": "13366101"}, {"ref": "tomoshimo/mnist-tensorflow", "kernel_id": "13822918"}, {"ref": "aliwagdy/digit-recognizer-using-cnn-acc-99", "kernel_id": "13873604"}, {"ref": "loremipsuma/digit-numbers", "kernel_id": "13279878"}, {"ref": "devanshgoyal/my-digit-recognizor", "kernel_id": "13855430"}, {"ref": "apeinthecoat/digit-recognition-via-tensorflow", "kernel_id": "13101837"}, {"ref": "madhurimamaji/digit-recognizer", "kernel_id": "13940892"}, {"ref": "omeroruccelik/first-try", "kernel_id": "13452017"}, {"ref": "priyankajagota/fashion-mnist-analysis", "kernel_id": "13738652"}, {"ref": "mrifkiw/cnn-klasifikasi-angka", "kernel_id": "13599536"}, {"ref": "menseki/keras-alexnet", "kernel_id": "13545492"}, {"ref": "konstanter/mnist-on-keras-publilb-0-99475-by-konstanter", "kernel_id": "13673359"}, {"ref": "jyalex/mnist-digit-recognition-using-svm", "kernel_id": "13034164"}, {"ref": "shambhavisoman/digit-recognizer", "kernel_id": "13630920"}, {"ref": "josephassaker/cnn-mnist-digit-classification", "kernel_id": "13515461"}, {"ref": "chachiawacef/digit-recognizer-99-accuracy-fast-cnn", "kernel_id": "13793863"}, {"ref": "furkankarakuz/digit-recognizer-keras", "kernel_id": "13089477"}, {"ref": "shahulsha/digit-recognizer-tensorflow-keras-kaggle", "kernel_id": "13317044"}, {"ref": "ektadubey38/mnist-digit-recognition", "kernel_id": "13061551"}, {"ref": "andrejkubis/semestr-lna-pr-ca-ui2", "kernel_id": "13287941"}, {"ref": "kartikasharma/easy-way-through-mnist-99", "kernel_id": "13534908"}, {"ref": "vishwasrawat/mnist-digit-recognition-using-svm", "kernel_id": "13224373"}, {"ref": "kenconstable/mnist-classifer", "kernel_id": "13491778"}, {"ref": "phsaikiran/mnist-digit-lenet", "kernel_id": "13798349"}, {"ref": "mariuszgaljan/pca-dimension-reduction", "kernel_id": "13607367"}, {"ref": "devanshchowdhury/digit-classfier-acc-99", "kernel_id": "13625802"}, {"ref": "mithra06/mnist-using-keras-and-tensorflow", "kernel_id": "13238746"}, {"ref": "anirudhjain2712/mnist-digit-recognizer-convolutional-nn", "kernel_id": "13194982"}, {"ref": "mohdkashifakhtar/notebook336b10bff5", "kernel_id": "13307296"}, {"ref": "samiptimalsena/t-sne-approach-to-mnist", "kernel_id": "13927945"}, {"ref": "sagnik1511/how-to-participate-in-a-competition", "kernel_id": "13008011"}, {"ref": "austinwright1/mnist-tf-practice", "kernel_id": "13967443"}, {"ref": "ywhenlyn/digit-recognizer-in-r-xgboost-h2o-cnn", "kernel_id": "13094211"}, {"ref": "nadezdascosyrskih/notebook0b47f99e7e", "kernel_id": "13777734"}, {"ref": "stanleyjzheng/exploring-pseudolabelling-schemes-pydata", "kernel_id": "13585392"}, {"ref": "mohitkarelia/cnn-on-mnist", "kernel_id": "13208178"}, {"ref": "yuichikuriyama/simple-minst-for-kaggle", "kernel_id": "13395603"}, {"ref": "homayoonkhadivi/cnn-for-mnist-digit-datasets", "kernel_id": "13706409"}, {"ref": "vivekgediya/handwritten-digits-recognition-with-python", "kernel_id": "13631893"}, {"ref": "vaishnavikhilari/digit-recognizer", "kernel_id": "13441242"}, {"ref": "jaekisenagarwal/digitrecognizer-cnn", "kernel_id": "13467185"}, {"ref": "darshjasani/digit-recognizer-cnn-beginner", "kernel_id": "13319326"}, {"ref": "danieltruesdale/test-a-digit", "kernel_id": "13394019"}, {"ref": "lightxkun/mnist-digit-recognition", "kernel_id": "13683611"}, {"ref": "tanling/digit-recognizer", "kernel_id": "13421382"}, {"ref": "shanmukh05/mnist-hand-written-digits-tensorflow", "kernel_id": "13401857"}, {"ref": "namankohliml/dogs-vs-cats-noob-version", "kernel_id": "13336346"}, {"ref": "paulrohan2020/tutorial-dimensionality-reduction-pca-maths", "kernel_id": "13404090"}, {"ref": "kerimelebiler/digit-recognizer-with-squeezenet", "kernel_id": "13339891"}, {"ref": "shutupandsquat/rnn-with-pytorch", "kernel_id": "13976926"}, {"ref": "jima21/tensorflow-deep-nn", "kernel_id": "13006128"}, {"ref": "bingchangzhu/digit-recongizer", "kernel_id": "13436440"}, {"ref": "brendanartley/mnist-keras-cnn-99-6", "kernel_id": "13709795"}, {"ref": "ludovicchangeon/digitrecognizer-simplecnn", "kernel_id": "13330495"}, {"ref": "davidabelin/digiteerx", "kernel_id": "13182620"}, {"ref": "erenkrmzolu/cnn-digit-recognizer", "kernel_id": "13107702"}, {"ref": "mitunkantipaul/digit-recognition-tensorflow", "kernel_id": "13036955"}, {"ref": "startover205/fastai-2-digit-recognizer", "kernel_id": "13720425"}, {"ref": "sayooj98/digit-recognizer", "kernel_id": "13128051"}, {"ref": "vladimirperdih/digit-recognition", "kernel_id": "13657652"}, {"ref": "anaszi/digit-recognizer-score-0-988", "kernel_id": "13735287"}, {"ref": "akshitmadan/digits-recognition-cnn", "kernel_id": "13678228"}, {"ref": "devanshusingh/notebook9c3803cb2a", "kernel_id": "13843329"}, {"ref": "nidhinmohan/handwriting-digit-recognizer", "kernel_id": "13176399"}, {"ref": "vldrud/my-mnist-exe-by-nn", "kernel_id": "13491345"}, {"ref": "mostafahegab/digit-recognizer-using-svc", "kernel_id": "13355711"}, {"ref": "chesterwicipto/digitrecognition3-5", "kernel_id": "13264064"}, {"ref": "goliothzorenfredrik/handwritten-digits-recognition-perceptron", "kernel_id": "13260262"}, {"ref": "thirdeyecyborg/simplesvcdigitrecognizer", "kernel_id": "13929233"}, {"ref": "nandhinirajesh29/notebook1ffda58289", "kernel_id": "13106716"}, {"ref": "dattaprasadfandat/digit-recognizer-cnn", "kernel_id": "13911778"}, {"ref": "birdychen/mnist-cnn", "kernel_id": "13144025"}, {"ref": "tymonhuchla/introduction-to-digit-classification-with-keras", "kernel_id": "13020289"}, {"ref": "datajameson/mnist-eda-prediction-explained", "kernel_id": "13400432"}, {"ref": "datajameson/mnist-top-5-using-cnn-accuracy-0-997", "kernel_id": "13423365"}, {"ref": "mehmetkaygusuz/digit", "kernel_id": "13827501"}, {"ref": "direwolf770/mnist-99-4-99-5-accuracy-with-image-augmentation", "kernel_id": "13825967"}, {"ref": "aryansakhala/cnn-first-step-towards-project", "kernel_id": "13892249"}, {"ref": "akashramugade/notebookbe19ebcb91", "kernel_id": "13919991"}, {"ref": "nishantdeshmukh/digit-recognizer-a-43", "kernel_id": "13921699"}, {"ref": "shwetabhujbal/digit-recognizer-a-26", "kernel_id": "13923447"}, {"ref": "nvatuan/2020dec17-digit-recognizer", "kernel_id": "13601591"}, {"ref": "allisonfernndez/final-project-digit-recognizer", "kernel_id": "13687277"}, {"ref": "shubham07prasad/mnist", "kernel_id": "13593310"}, {"ref": "dipeshkurasau/digit-recognition-tf", "kernel_id": "13723466"}, {"ref": "acarahmet/cnn-on-sign-digits", "kernel_id": "13899176"}, {"ref": "yalikesifulei/modified-lenet", "kernel_id": "13663724"}, {"ref": "sametbayraktar/digit-recognizer-with-cnn-keras-for-beginners", "kernel_id": "13901174"}, {"ref": "illgoshat/simple-logreg-on-mnist", "kernel_id": "13179035"}, {"ref": "poulamibakshi/digit-recognizer", "kernel_id": "13805364"}, {"ref": "masakimurakami/digits-cnn", "kernel_id": "13982136"}, {"ref": "eshulyak/mnist-final-exam", "kernel_id": "13732306"}, {"ref": "daotan/digitrecognizer-using-cnn", "kernel_id": "13447302"}, {"ref": "kaggledis/mnist-cnn-v1", "kernel_id": "13783879"}, {"ref": "mclitao/0000-public-01-mnist-simple-cnn-keras-ipynb", "kernel_id": "13713604"}, {"ref": "amirsher/cnn-digit-recognizer-using-boosted-lenet5", "kernel_id": "13570098"}, {"ref": "ayubdarmawan/digit-recognizer", "kernel_id": "13486290"}, {"ref": "ibnuthoriqh/digit-recognizer-with-cnn-tensorflow-keras", "kernel_id": "13244373"}, {"ref": "ibnuthoriqh/digit-recognizer-with-tensorflow-keras", "kernel_id": "13238106"}, {"ref": "anastasiiablyzniuk/digital-recognizer-cnn", "kernel_id": "13324252"}, {"ref": "firatkizilboga/mat-271e-homework", "kernel_id": "13778115"}, {"ref": "kiainio/digit-recognizer", "kernel_id": "13255052"}, {"ref": "bakidemirel/notebook938abc4959", "kernel_id": "13321143"}, {"ref": "amitalexander/digital-recognizer-cnn", "kernel_id": "13384771"}, {"ref": "minatighosh2020/cnn-mnist-digit-classification", "kernel_id": "13529294"}, {"ref": "liyilang/digit-recognizer", "kernel_id": "13642278"}, {"ref": "shohel1/handwritten-digit-recognition-problem-solving", "kernel_id": "13429062"}, {"ref": "leeminhwan/cnn-on-mnist", "kernel_id": "13487037"}, {"ref": "abolfazlmalekahmadi/notebook46413d1334", "kernel_id": "13493861"}, {"ref": "ziyuwangcn/mnist-digit-recognizer-pytorch", "kernel_id": "13989884"}, {"ref": "ivanskadorva/mnist-recognizer", "kernel_id": "13866999"}, {"ref": "patrickrussell314/recognizing-digits-with-keras-cnn", "kernel_id": "13621458"}, {"ref": "gg9435/digit-recognizer", "kernel_id": "13705566"}, {"ref": "alexbas/lr-finder", "kernel_id": "13909199"}, {"ref": "yashaswitasingh/beginner-friendly", "kernel_id": "13805641"}, {"ref": "ilnazkhafizov/notebook3cad9f340b", "kernel_id": "13864483"}, {"ref": "doanhieunguyen/mnist-cnn", "kernel_id": "13984746"}, {"ref": "sumeetspisal/notebookbb429528ca", "kernel_id": "13929071"}, {"ref": "nitinbasantwani/digit-recognizer-using-basic-cnn-my-1st-notebook", "kernel_id": "13990226"}, {"ref": "nitinbasantwani/digit-recognizer-using-basic-cnn-rmsprop-my-2nd", "kernel_id": "13999840"}, {"ref": "bisakharay/convolutional-neural-network-cnn", "kernel_id": "14568439"}, {"ref": "merles18/character-recognition-with-fastai", "kernel_id": "14184820"}, {"ref": "naveenk903/digit-recognizer-pytorch", "kernel_id": "14746949"}, {"ref": "allunia/differential-evolution", "kernel_id": "14027842"}, {"ref": "aditagrawal/mnist-classifier-v1", "kernel_id": "14026302"}, {"ref": "marcoisajoke/pytorch-small-model-to-high-approach", "kernel_id": "14259513"}, {"ref": "yanxunus/99-625-some-learnings-from-digit-recogniser", "kernel_id": "14049481"}, {"ref": "suhasgupta1/mnist-digit-recognition", "kernel_id": "14494687"}, {"ref": "yjaiswal007/digit-recognizer-cnn", "kernel_id": "14170270"}, {"ref": "bauyrjanj/cnn-mnist-tensorflow", "kernel_id": "14525535"}, {"ref": "bryanb/pytorch-cnn-for-mnist-digit-recognition-with-gpus", "kernel_id": "14245980"}, {"ref": "bryanb/image-segmentation-u-net", "kernel_id": "14776612"}, {"ref": "masrur007/simple-cnn-using-pytorch", "kernel_id": "14872921"}, {"ref": "ouba64/digit-recognizer-cnn-ensemble", "kernel_id": "14235927"}, {"ref": "rafat97/pytorch-wasserstein-gan-wgan", "kernel_id": "14767454"}, {"ref": "rafat97/pytorch-conditional-gan", "kernel_id": "14778674"}, {"ref": "lucabasa/decision-trees-pca-and-data-compression", "kernel_id": "14867387"}, {"ref": "ateplyuk/pytorch", "kernel_id": "14236588"}, {"ref": "thekatiebr/dsl-meeting-2-2-2021-n2", "kernel_id": "14560432"}, {"ref": "sauravkantkumar/mnist-digit-recognition-using-keras", "kernel_id": "14552688"}, {"ref": "naushads/mnist-pca", "kernel_id": "14801427"}, {"ref": "naushads/mnist-t-sne", "kernel_id": "14819879"}, {"ref": "jishaanujose/my-first-note", "kernel_id": "14664456"}, {"ref": "legendsplay/mnist-keras-tuner-smart-work", "kernel_id": "14522880"}, {"ref": "legendsplay/simple-cnn-model-acc-99", "kernel_id": "14208528"}, {"ref": "fanbyprinciple/fastai-v4-mnist-again", "kernel_id": "14506878"}, {"ref": "fanbyprinciple/fastai-v4-mnist", "kernel_id": "14452936"}, {"ref": "wolfy73/mnist-projet-fil-th-o", "kernel_id": "14669937"}, {"ref": "herbison/duplicate-dataset-name-test", "kernel_id": "14938762"}, {"ref": "jurk06/mnist-data-with-tsne", "kernel_id": "14449532"}, {"ref": "space4vv/mnist-challenge-using-cnns", "kernel_id": "14146755"}, {"ref": "kaerunantoka/tpu-starter2-createtfrecorddatasetclassv2", "kernel_id": "14986701"}, {"ref": "kaerunantoka/tpu-starter1-createtfrecorddataset", "kernel_id": "14978570"}, {"ref": "kppetrov/fast-knn-using-scikit-learn-intelex-for-mnist", "kernel_id": "14126927"}, {"ref": "kppetrov/fast-svc-using-scikit-learn-intelex-for-mnist", "kernel_id": "14736535"}, {"ref": "aicentral/image-classification-mnist-with-automl", "kernel_id": "14382741"}, {"ref": "sachinrastogi/mnistusingcnn", "kernel_id": "14725175"}, {"ref": "gontoracq1991/digit-recognizer-using-neural-networks-1", "kernel_id": "14798959"}, {"ref": "shivamsingh96/mnist-classification-svm-rf-1vsrest-voting", "kernel_id": "14128712"}, {"ref": "rohitw/digit-recognizer-svm-v1-2", "kernel_id": "14895891"}, {"ref": "glushko/digit-recognizer-0-99657-3-approaches-tpu", "kernel_id": "14226221"}, {"ref": "meenaaa/mnist-digit-recogniser-knn-decisiontree-rf", "kernel_id": "14184158"}, {"ref": "kesavsivakumar/conv2d-btachnorm-leakyrelu-mnist-digit-recognizer", "kernel_id": "14924115"}, {"ref": "eladwar/catboost-any-better", "kernel_id": "14875794"}, {"ref": "eladwar/cascade-forests", "kernel_id": "14875429"}, {"ref": "eladwar/trees-overfit", "kernel_id": "14875009"}, {"ref": "srandria/digit-recognition-with-cnn", "kernel_id": "14876365"}, {"ref": "rahulkumarp/digit-recognizer", "kernel_id": "14651554"}, {"ref": "navjotbansal/digit-recognition-cnn-0-98535-score", "kernel_id": "14419433"}, {"ref": "ivankunyankin/resnet18-from-scratch-using-pytorch", "kernel_id": "14750475"}, {"ref": "anubhavsrivastava30/mnist-using-sota-mish-activation", "kernel_id": "14931703"}, {"ref": "pranayreddy99/digit-recognizer-using-cnn-for-beginners", "kernel_id": "14964502"}, {"ref": "yyounghun/cnn-bn-for-mnist", "kernel_id": "14797776"}, {"ref": "giyan17/digit-recogniser", "kernel_id": "14644447"}, {"ref": "nouranali/mnist-handwritten-digits", "kernel_id": "14911532"}, {"ref": "dohunkim/mnist-20210203", "kernel_id": "14645241"}, {"ref": "ikraminf/digit-recognizer-mnist", "kernel_id": "14640152"}, {"ref": "eschibli/simple-cnn-with-random-hyperparameter-search", "kernel_id": "14043653"}, {"ref": "marto24/digit-predictions-tta-cnn-s-visualizations", "kernel_id": "14804136"}, {"ref": "blagoyh/identifying-handwriting-with-ai-99-6", "kernel_id": "14227432"}, {"ref": "vineeth1999/automated-eda-for-titanic-dataset", "kernel_id": "14134910"}, {"ref": "thekalkulator/tensorflow-keras-beginners", "kernel_id": "14154523"}, {"ref": "slothfulwave612/pytorch-building-a-digit-recognizer", "kernel_id": "14453334"}, {"ref": "dkdevmallya/comprehensive-guide-to-cnn-with-keras", "kernel_id": "14406690"}, {"ref": "jayashree4/digit-recognizer-comparing-models", "kernel_id": "14993992"}, {"ref": "meghal17/digits-with-cnn", "kernel_id": "14473049"}, {"ref": "lvalencia/digit-recognizer-keras-data-augmentation", "kernel_id": "14189071"}, {"ref": "sulemansalmani/handwritten", "kernel_id": "14344941"}, {"ref": "heyytanay/tensorflow-model-custom-keras-data-generators", "kernel_id": "14815912"}, {"ref": "federicorabinovich/mnist-with-cnn-on-keras-99-38-test-acc", "kernel_id": "14309277"}, {"ref": "andreshg/automatic-eda-libraries-comparisson", "kernel_id": "14537721"}, {"ref": "prajittr/digit-recognizer-cnn-98-93-accuracy", "kernel_id": "14740096"}, {"ref": "micheomaano/introduction-to-neural-networks", "kernel_id": "14053159"}, {"ref": "harsh0823/digit-recognition", "kernel_id": "14012258"}, {"ref": "shaileshkumar1597/digit-recognizer-using-pytorch", "kernel_id": "14370902"}, {"ref": "archisha26/digit-recognizer-with-augmentation-cnn", "kernel_id": "14439479"}, {"ref": "hiabhi/digit-recognition-with-tensorflow", "kernel_id": "14633477"}, {"ref": "calcium1992/digit-recognizer-cnn-accu0-99", "kernel_id": "14258463"}, {"ref": "hpoddar2810/mnist", "kernel_id": "14109903"}, {"ref": "mohsin999/digit-recognizer-ensemble-learning-bagging-2", "kernel_id": "14926594"}, {"ref": "mohsin999/transfer-learning-workshop-1", "kernel_id": "14439231"}, {"ref": "stevedeltora/numbermist", "kernel_id": "14722883"}, {"ref": "faisalahmedbijoy/mnist-digit-recognizer-keras-cnn-99-6", "kernel_id": "14102917"}, {"ref": "supreet123/notebookfa7e5d23d0", "kernel_id": "14204717"}, {"ref": "dlrudgns987/kyunghunlee-03", "kernel_id": "14246105"}, {"ref": "anshumakkar/digit-recognition", "kernel_id": "14265340"}, {"ref": "aryan27/recognising-handwritten-digits-on-mnist", "kernel_id": "14040198"}, {"ref": "ashwinrachha1/intro-to-fastai-with-mnist-image-classification", "kernel_id": "14446954"}, {"ref": "karthisena/simple-cnn-with-mnist", "kernel_id": "14777392"}, {"ref": "songwonmin/for-korean-mnist-beginning", "kernel_id": "14614496"}, {"ref": "songwonmin/for-beginner-digit-recognizer-cnn", "kernel_id": "14308089"}, {"ref": "ralphguo/cnn-for-minst-data", "kernel_id": "14315639"}, {"ref": "vislupus/cnn-model-digit-recognition", "kernel_id": "14907459"}, {"ref": "sameekshashri/recognising-handwritten-digits-on-mnist", "kernel_id": "14465514"}, {"ref": "yacinerouizi/digit-recognition-with-cnn", "kernel_id": "14775803"}, {"ref": "gabrielbaishev/mnist-digit-recognizer-keras-cnn-99-6", "kernel_id": "14142932"}, {"ref": "enriqueabad/using-tensorflow-from-scratch-without-keras", "kernel_id": "14105207"}, {"ref": "harshalgupta101/handwritten-digit-classifier-1", "kernel_id": "14604413"}, {"ref": "mahmoudkhaled11/digit-recognizer-cnn-2021-98-9-acc", "kernel_id": "14818453"}, {"ref": "jyothishmohan/lenet5-modified", "kernel_id": "14993457"}, {"ref": "andytagne/digits-recognize-andy", "kernel_id": "14991244"}, {"ref": "smartyalien/svm-classification-digit-recognizer", "kernel_id": "14022056"}, {"ref": "mohedi/neural-network-from-scratch-just-numpy", "kernel_id": "14604405"}, {"ref": "vinayharyan/learningcnn-digit-recongnizer", "kernel_id": "14276918"}, {"ref": "marselaaliaj/aliaj-nnet-02-mnist", "kernel_id": "14910524"}, {"ref": "technicalapps/digit-recognizer", "kernel_id": "14099500"}, {"ref": "okiehomarismail/digit-recognation", "kernel_id": "14696372"}, {"ref": "erenalar/aysenur", "kernel_id": "14033036"}, {"ref": "davidblumenstiel/digit-recognition-simple-cnn", "kernel_id": "14110957"}, {"ref": "ricardocepedaraza/mnist-competition-draft-1", "kernel_id": "14318525"}, {"ref": "milinddronoid1/digitrecognizer-accuracy-99-07", "kernel_id": "14926922"}, {"ref": "rouansiri/minst-digit-recognition", "kernel_id": "14356298"}, {"ref": "mohdbilalhaider/mnist-basic-fast-ai", "kernel_id": "14903156"}, {"ref": "baptistemistral/a-simplecnn-mnist", "kernel_id": "14210600"}, {"ref": "rohansingh9001/digit-recognition", "kernel_id": "14524106"}, {"ref": "sumitkrai/mnist-dataset-using-mlp-in-pytorch", "kernel_id": "14713221"}, {"ref": "melihekici/digit-recognizer-with-knn-97-878", "kernel_id": "14023544"}, {"ref": "hassanikram/digit-recognizer", "kernel_id": "14934709"}, {"ref": "ashishpapanai/mnist", "kernel_id": "14468122"}, {"ref": "omeram/digit-recognizer-gan-experiment", "kernel_id": "14968579"}, {"ref": "shashankrajput9/digit-recognizer-ml", "kernel_id": "14542096"}, {"ref": "phoenix23/digit-recognizer-with-a-simple-cnn-model", "kernel_id": "14243242"}, {"ref": "lakshita2002/implementing-cnn-with-keras-data-augmentation", "kernel_id": "14355205"}, {"ref": "bumjunkoo/digit-recognizer-cnn", "kernel_id": "14460407"}, {"ref": "brajasekharreddy/digitrecognizer", "kernel_id": "14927611"}, {"ref": "manojkumars00/digit-recognition-tensorflow", "kernel_id": "14523553"}, {"ref": "nkitgupta/who-will-leave-a-job", "kernel_id": "14310012"}, {"ref": "songrise/simple-lenet-5-keras-data-augmentation", "kernel_id": "14403737"}, {"ref": "balaramk/digitrecognition-using-adam-sgd-99", "kernel_id": "14571206"}, {"ref": "mohdsarfarazali/digit-recognizer", "kernel_id": "14113635"}, {"ref": "tracyporter/nmist-pytorch-skorch", "kernel_id": "14100127"}, {"ref": "alekseysergeev/pytorch-cnn-lenet5-russian-version", "kernel_id": "14394700"}, {"ref": "alekseysergeev/pytorch-fnn-practice-russian-version", "kernel_id": "14424976"}, {"ref": "devkumar247/mnist-digit-recognizer", "kernel_id": "14075682"}, {"ref": "sauravjoshi23/digit-recognition-using-cnn-99-835-acc-top-4", "kernel_id": "14334322"}, {"ref": "crusher083/digit-recognizer-cnn-in-keras", "kernel_id": "14051573"}, {"ref": "skanderhaddad/digit-recognizer", "kernel_id": "14506100"}, {"ref": "mayank1897/digit-recognizer-ann", "kernel_id": "14216783"}, {"ref": "mayank1897/digit-recognizer-using-cnn", "kernel_id": "14633699"}, {"ref": "kasevgen/mnist-cnn-0-9955", "kernel_id": "14085919"}, {"ref": "kasevgen/pytorch-multiclass-classification-mnist-ensemble", "kernel_id": "14843152"}, {"ref": "kasevgen/mnist-ensemble-cnn-top-8", "kernel_id": "14584011"}, {"ref": "kasevgen/pytorch-multiclass-classification-mnist-2", "kernel_id": "14908428"}, {"ref": "sanskarram/mnist-begineer-pytorch-simple-explanation", "kernel_id": "14137556"}, {"ref": "hhp07022000/digit-recognizer-using-tensorflow", "kernel_id": "14927298"}, {"ref": "ghulamkibriya/mnist-digit", "kernel_id": "14407403"}, {"ref": "subalaki/hand-written-recogniser-with-sklearn-scikit", "kernel_id": "14362034"}, {"ref": "vujean/digit-recognizer-using-svm-in-r", "kernel_id": "14444298"}, {"ref": "vujean/giangvdq", "kernel_id": "14444821"}, {"ref": "yyangsshh/mnist-pytorch-acc-99", "kernel_id": "14724531"}, {"ref": "ramlalnaik/digit-recognizer-using-cnn-method", "kernel_id": "14390539"}, {"ref": "srishtikumari97089/digit-rec-hyperparameter", "kernel_id": "14858792"}, {"ref": "aliguzmanadan/digit-recognition-pca-svm", "kernel_id": "14985219"}, {"ref": "ahateshambhuiyan/handwritten-digit-classification-with-keras", "kernel_id": "14160703"}, {"ref": "sanketmathur7/digit-classifier-beginner-experimentation", "kernel_id": "14850499"}, {"ref": "manfrommars/notebook70d6e1e502", "kernel_id": "14213178"}, {"ref": "startover205/fastai-2-tpu-getting-started-xla-extension", "kernel_id": "14156994"}, {"ref": "ishantkukreti/getting-starting-with-tensorflow", "kernel_id": "14185659"}, {"ref": "sahilofficial74/digit-recognizer", "kernel_id": "14441295"}, {"ref": "riteshpatil8998/digit-recognizer-cracking-top-rankings", "kernel_id": "14478178"}, {"ref": "raghav2002sharma/digit-recognizer-using-neural-networks", "kernel_id": "14144855"}, {"ref": "lukowiakja/svm-linear-gaussian-gaussian-with-deskew", "kernel_id": "14042314"}, {"ref": "tonytrieu/mnsit-cnn-classifier", "kernel_id": "14335264"}, {"ref": "valeriisielikhov/digit-recognizer", "kernel_id": "14802087"}, {"ref": "antoniofurioso/cnn-mnist-digit-recognizer", "kernel_id": "14393098"}, {"ref": "kukeshk/mnist", "kernel_id": "14520641"}, {"ref": "satyamkryadav/cart-and-optuna", "kernel_id": "14835286"}, {"ref": "aymenkhaled/neural-net-from-scratch", "kernel_id": "14601739"}, {"ref": "lynnshin/pca-conv1d", "kernel_id": "14260409"}, {"ref": "napster01/ml-svm-mnist-dataset-98-7-accuracy", "kernel_id": "14180449"}, {"ref": "napster01/notebookfbcb571892", "kernel_id": "14180718"}, {"ref": "randommmjy/cnn-digit-recognition", "kernel_id": "14556937"}, {"ref": "vamsikrishna500466/mnist-by-svm-model", "kernel_id": "14439011"}, {"ref": "nilaykhare/mnist-tensorflow-2-0-nilaykhare", "kernel_id": "14320869"}, {"ref": "rajpraveenpradhan/digit-classifier-using-cnn-with-application", "kernel_id": "14003072"}, {"ref": "ownit4137/implementing-lenet-5-and-recognizing-digits", "kernel_id": "14580713"}, {"ref": "eudossodicnido/digit-recognizer-mnist", "kernel_id": "14868826"}, {"ref": "henseljahja/simple-tensorflow-cnn-98-8", "kernel_id": "14592751"}, {"ref": "joolousada/mnist-digitrecognizer", "kernel_id": "14582508"}, {"ref": "nguyentienduy/using-svm", "kernel_id": "14393657"}, {"ref": "nguyentienduy/svm-cnn", "kernel_id": "14392582"}, {"ref": "nguyentienduy/cnn-d", "kernel_id": "14448364"}, {"ref": "nguyentienduy/randomforest-r", "kernel_id": "14453348"}, {"ref": "sambor1313/cnn-digits-recognition-knowledge-summary", "kernel_id": "14453230"}, {"ref": "kamlendrarathour/digit-classification", "kernel_id": "14555653"}, {"ref": "nguynvnphong/mnist-with-cnn-basic", "kernel_id": "14595493"}, {"ref": "itsbhups/digit-recognizer", "kernel_id": "14703629"}, {"ref": "hongseyoung/use-pca-for-mnist", "kernel_id": "14202670"}, {"ref": "pranityawalkar/digits-recognizer", "kernel_id": "14116649"}, {"ref": "vimarich/cnn-digit-recognizer", "kernel_id": "14372338"}, {"ref": "nghianguyentrong/digit-recognition-using-nn", "kernel_id": "14105173"}, {"ref": "nghianguyentrong/digit-recognition-using-cnn", "kernel_id": "14106137"}, {"ref": "sadfilll/sadfil-s-digit-recognizer", "kernel_id": "14624682"}, {"ref": "danielnilsson/digit-recognizer-dn", "kernel_id": "14443774"}, {"ref": "kyleberdy/basic-mnist-visualization", "kernel_id": "14087441"}, {"ref": "yyuan94/using-mnist-to-visualize-basic-conv-filtering", "kernel_id": "14536072"}, {"ref": "basel99/digit-recognizer", "kernel_id": "14529390"}, {"ref": "danyakomlev/simple-cnn-pytorch-99-2", "kernel_id": "14579836"}, {"ref": "haidoviet/digit-recognizer-k-nearest-neighbors-knn", "kernel_id": "14429775"}, {"ref": "gurharkhalsa/99-with-pytorch-resnet", "kernel_id": "14586885"}, {"ref": "nakulll/digit-recog", "kernel_id": "14601428"}, {"ref": "luisbedia/reconocimiento-de-d-gitos-97-65", "kernel_id": "14556275"}, {"ref": "sergeiborisov/simple-logistic-regression", "kernel_id": "14169721"}, {"ref": "alexbas/pytorch-lightening", "kernel_id": "14079394"}, {"ref": "ducvovananh/digit-recognition-using-cnn-by-duc", "kernel_id": "14221931"}, {"ref": "kenjishioya/digit-recognizer", "kernel_id": "14490421"}, {"ref": "anamika1999/mnist-digit-recognition", "kernel_id": "14244369"}, {"ref": "irawatt/unsupervised-pre-training-guide-with-keras", "kernel_id": "14807781"}, {"ref": "irawatt/mnist-digits-stacked-autoencoder-implementation", "kernel_id": "14969649"}, {"ref": "jokyeongmin/mnist-resnet18-in-pytorch", "kernel_id": "14238959"}, {"ref": "condados/first-project-mnist-digit-nn", "kernel_id": "14723349"}, {"ref": "parthdedhia/capsule-network-in-tensorflow-digit-recognizer", "kernel_id": "14341666"}, {"ref": "jeffreyyang19/pytorch-mnist", "kernel_id": "14138898"}, {"ref": "atultyagi2000/mnist-digit-recognition-lr", "kernel_id": "14137730"}, {"ref": "koheiyamamoto11/notebookb714eb9f61", "kernel_id": "14180343"}, {"ref": "natsukitsukamoto/assignment-a-4", "kernel_id": "14240248"}, {"ref": "natsukitsukamoto/assignment-a-5", "kernel_id": "14242648"}, {"ref": "natsukitsukamoto/assignment-a-2", "kernel_id": "14242574"}, {"ref": "natsukitsukamoto/assignment-a-6", "kernel_id": "14242796"}, {"ref": "natsukitsukamoto/assignment-a-3", "kernel_id": "14200987"}, {"ref": "abd931/kaggel-digit-recognizer", "kernel_id": "14247769"}, {"ref": "shunsuke1201/digit-recognizer-mnist", "kernel_id": "14908616"}, {"ref": "shunsuke1201/digit-recognizer-with-earlystopping", "kernel_id": "14908382"}, {"ref": "smitshah00/digit-recognition-using-cnn-pytorch", "kernel_id": "14296580"}, {"ref": "alewicka/mnist-digit-recognizer-cnn-in-keras-99-63", "kernel_id": "14272089"}, {"ref": "wakeupneo777/digit-reconize", "kernel_id": "14661343"}, {"ref": "yogeshlearn/mnist-classfication", "kernel_id": "14921982"}, {"ref": "ninotomo/notebook-digitrecognizer-cnn", "kernel_id": "14318308"}, {"ref": "ninotomo/notebook-digitrecognizer-resnet", "kernel_id": "14764084"}, {"ref": "gahdenebisone/cccnn", "kernel_id": "14324548"}, {"ref": "austinpack/digit-recognition", "kernel_id": "14857121"}, {"ref": "yasinughur/digit-recognizer-with-pytorch", "kernel_id": "14741224"}, {"ref": "qiuhanji/digit-recogniter", "kernel_id": "14507523"}, {"ref": "chjinny/korean-simple-flow-for-beginners", "kernel_id": "14623108"}, {"ref": "vishalvishwa/handwriting-classifier-using-decision-tree", "kernel_id": "14775846"}, {"ref": "yeoneuikim/group2", "kernel_id": "14506673"}, {"ref": "onejlly/mnist-team-04-0-99132", "kernel_id": "14507345"}, {"ref": "ldgbobby/mnint-1-final", "kernel_id": "14513913"}, {"ref": "sanggyu3/mnist-with-neural-nets", "kernel_id": "14513237"}, {"ref": "ignaciomorenomarn/digit-recognition", "kernel_id": "14579168"}, {"ref": "guptavishu1000/basic-intro", "kernel_id": "14757933"}, {"ref": "aidenfoster/mnist-cnn", "kernel_id": "14694358"}, {"ref": "tarunk04/digit-recognition-tutorial-cnn-99-67-accuracy", "kernel_id": "14711561"}, {"ref": "tarunk04/autoencoder-denoising-image-mnist-cifar10", "kernel_id": "14711170"}, {"ref": "jaymessidney/cnn-transfer-learning-and-data-augmentation", "kernel_id": "14721631"}, {"ref": "exterex/numerical-classification", "kernel_id": "14809527"}, {"ref": "rosanigel/mnist", "kernel_id": "14915570"}, {"ref": "juanhubert/99-with-pytorch-resnet", "kernel_id": "14973031"}, {"ref": "christopherhoman/simple-deep-mlp-with-keras", "kernel_id": "15616010"}, {"ref": "funky15/mnist-object-detection-v2", "kernel_id": "15499401"}, {"ref": "funky15/mnist-object-detection-v3-yolo-w-data-import", "kernel_id": "15639974"}, {"ref": "funky15/mnist-object-detection", "kernel_id": "15458494"}, {"ref": "scirpus/energy-based-convolution", "kernel_id": "15832909"}, {"ref": "laurauzcategui/tensorflow-cnn-with-normalization", "kernel_id": "15719038"}, {"ref": "mmirandam/cnn-simples-com-keras-para-iniciantes", "kernel_id": "15436640"}, {"ref": "vkthakur90/generative-model", "kernel_id": "15765920"}, {"ref": "krishnarajut/digits-recognition-using-only-svm", "kernel_id": "15196341"}, {"ref": "leomauro/deep-learning-reconhecimento-de-d-gitos", "kernel_id": "15616024"}, {"ref": "larsmadsen/triple-track-cnn-99-4-score", "kernel_id": "15128419"}, {"ref": "larsmadsen/image-recognition-in-26-lines-tf-keras-starter", "kernel_id": "15081975"}, {"ref": "kazakan/simple-digit-recognizer", "kernel_id": "15424120"}, {"ref": "afifahussain/cnn-beginner", "kernel_id": "15985416"}, {"ref": "soniakash/digit-recognizer-using-tensorflow", "kernel_id": "15475920"}, {"ref": "nitsin/notebookda5b8c421a", "kernel_id": "15323749"}, {"ref": "nitsin/notebook30be90aebd", "kernel_id": "15278404"}, {"ref": "nitsin/notebook8ec6a21fe6", "kernel_id": "15131328"}, {"ref": "nageshwari/digit-recognizer", "kernel_id": "15743830"}, {"ref": "anjalia8/digitrecognizer-top-13", "kernel_id": "15150163"}, {"ref": "kaerunantoka/tpu-starter5-training-and-inference-with-my-ds", "kernel_id": "15035018"}, {"ref": "romanzu/mnist-svc-nonlinear", "kernel_id": "15718118"}, {"ref": "manabendrarout/unsupervised-learning-for-mnist-with-eda", "kernel_id": "15576782"}, {"ref": "mashodrana/digit-recognition", "kernel_id": "15095379"}, {"ref": "yeogaa/mnist-train-digit-recognizer", "kernel_id": "15657786"}, {"ref": "faelk8/digit-recognizer-mnist-99-2", "kernel_id": "15642042"}, {"ref": "christianorr/digit-detection-tensorflow-2", "kernel_id": "15811596"}, {"ref": "ajayostawal/cnn-digit-recognizer1", "kernel_id": "15573878"}, {"ref": "piotrwawrzyniec/mnist-cnn-prediction-model", "kernel_id": "15920992"}, {"ref": "subinium/dark-mode-visualization-apple-version", "kernel_id": "15667229"}, {"ref": "ecemboluk/what-is-autoencoder-network", "kernel_id": "15453010"}, {"ref": "lalbabusah/digit-recognizer-computer-vision-fundamentals", "kernel_id": "15423519"}, {"ref": "sanpier/image-augmentation-with-cnn-99-6-top-7", "kernel_id": "15913575"}, {"ref": "newra008/using-single-layer-neural-network", "kernel_id": "15303128"}, {"ref": "johannes919/digit-recognizer", "kernel_id": "15961368"}, {"ref": "skhalili/mnist-neural-network", "kernel_id": "15226347"}, {"ref": "seraphwedd18/tpu-get-gcs-path-check", "kernel_id": "15808954"}, {"ref": "mateuszz5b/digit-recognition", "kernel_id": "15965370"}, {"ref": "anirudhg15/intro-to-cnn-using-mnist", "kernel_id": "15803301"}, {"ref": "leeminwoo/keras-basiccnn-99-01", "kernel_id": "15264677"}, {"ref": "shanan93/digit-recognizer-accuracy-99-33", "kernel_id": "15173475"}, {"ref": "accountstatus/capsule-network", "kernel_id": "15053484"}, {"ref": "mattwall3/notebook5dc62895d7", "kernel_id": "15465807"}, {"ref": "vimesh92/digit-recognizer-0-98742", "kernel_id": "15492260"}, {"ref": "kailichou/cnn-for-digit-classification", "kernel_id": "15934199"}, {"ref": "ninaddaithankar/digit-recognizer-pytorch", "kernel_id": "15733972"}, {"ref": "nehakumar31/digitrecognizer-cnn-standardization", "kernel_id": "15632974"}, {"ref": "nehakumar31/digitrecognizer-cnn", "kernel_id": "15008081"}, {"ref": "douha96/digit-recognizer-with-cnn", "kernel_id": "15595761"}, {"ref": "emmanuelmess/using-mnist-model-for-emnist-89-w-keras", "kernel_id": "15947417"}, {"ref": "ligtfeather/tutorial-nfnet-on-mnist-using-fastai", "kernel_id": "15227360"}, {"ref": "mohsin999/digit-recognizer-ensemble-learning-boosting-4", "kernel_id": "15003798"}, {"ref": "jasminely/mnist", "kernel_id": "15673276"}, {"ref": "siddharthpchauhan/digit-recognizer-dataset", "kernel_id": "15426056"}, {"ref": "tarunbisht11/fashion-mnist-convnet-with-leaky", "kernel_id": "15738581"}, {"ref": "justin6x16/minst-prediction-by-softmax-regression", "kernel_id": "15215261"}, {"ref": "theguywiththehat/mnist-random-forest-vs-cnn", "kernel_id": "15644224"}, {"ref": "harishgunas/optidash-mnist-harishgunas", "kernel_id": "15687152"}, {"ref": "mishraay/digit-recognition-using-keras", "kernel_id": "15933642"}, {"ref": "alankaraevefmsu/mlda-karaev-a-t-minmax-normalization-and-3conv", "kernel_id": "15945019"}, {"ref": "prateekv12f/computer-vision-mnist", "kernel_id": "15042449"}, {"ref": "lucasmullers/digit-recognize", "kernel_id": "15618382"}, {"ref": "alerium/fork-of-notebooke829121e3a", "kernel_id": "15939015"}, {"ref": "alerium/fcn-forgery", "kernel_id": "15939802"}, {"ref": "julienmihai/mnist", "kernel_id": "15760930"}, {"ref": "jonathanakaggle/into-to-tf-through-mnist-workshop-2", "kernel_id": "15379078"}, {"ref": "suriyaks/digit-recognizer-training-custom-cnn-99-inference", "kernel_id": "15674335"}, {"ref": "suriyaks/digit-recognizer-training-custom-cnn-99", "kernel_id": "15489417"}, {"ref": "arnrob/mnist-custom-cnn-data-augmentation-99-6", "kernel_id": "15789237"}, {"ref": "ladcva/comparision-of-tuning-methods", "kernel_id": "15097417"}, {"ref": "vraizen/digit-recognizer", "kernel_id": "15797679"}, {"ref": "vaibhav021099/digit-recognition-using-cnn", "kernel_id": "15415672"}, {"ref": "jerinm/digit-recognizer-deep-learning-with-keras", "kernel_id": "15585448"}, {"ref": "firebee/image-beginner", "kernel_id": "15755307"}, {"ref": "mouadriali/flex-neural-network-digit-recognizer-from-scratch", "kernel_id": "15194522"}, {"ref": "weicheng1997/learning", "kernel_id": "15552418"}, {"ref": "ajaynain/notebook3825cf3d41", "kernel_id": "15274453"}, {"ref": "ajaynain/digits-recognition-using-2d-cnn", "kernel_id": "15228378"}, {"ref": "osamabinlaggin/mnist-classifier", "kernel_id": "15294714"}, {"ref": "frankmollard/a-story-about-unsupervised-learning", "kernel_id": "15917112"}, {"ref": "njmmaryem/digit-recognizer-using-cnn", "kernel_id": "15034302"}, {"ref": "aishwaryakhatwani/ml-project", "kernel_id": "15809580"}, {"ref": "jmsayson/mnist-scratch-neural-network", "kernel_id": "15523405"}, {"ref": "melodytsekeni/digit-recognizer-convolutional-neural-network", "kernel_id": "15985655"}, {"ref": "melodytsekeni/digit-recognizer-logistic-regression", "kernel_id": "15889365"}, {"ref": "lonnieqin/mnist-classification-with-cnn", "kernel_id": "15596638"}, {"ref": "mmohamedmaged/digit-recognizer", "kernel_id": "15673767"}, {"ref": "filipsedivy/cnn-digit-recognizer-mnist-tpu", "kernel_id": "15966797"}, {"ref": "thomaspmcg/mnist", "kernel_id": "15384285"}, {"ref": "shamimmahbub/digit-recognition-237", "kernel_id": "15159658"}, {"ref": "jinayjain/digits-recognizer", "kernel_id": "15489338"}, {"ref": "kutaykutlu/svm-pca-digit-recognizer-98-4", "kernel_id": "15033520"}, {"ref": "omerbartal/mnist-classification", "kernel_id": "15977239"}, {"ref": "sahasradityathyadi/mnist-image", "kernel_id": "15629126"}, {"ref": "jamesmoro/mnist-cnn", "kernel_id": "15820617"}, {"ref": "sparkyjunior/beginner-friendly-notebook", "kernel_id": "15552903"}, {"ref": "riderlord/mnist-digit-recognizer-for-beginners", "kernel_id": "15983910"}, {"ref": "stutisehgal/digit-recognizer-mnist", "kernel_id": "15553059"}, {"ref": "omeram/digit-recognizer-pytorch", "kernel_id": "15433199"}, {"ref": "chaudharypriyanshu/rmsprop-vs-adam", "kernel_id": "15425650"}, {"ref": "laramir/notebook1683111be9", "kernel_id": "15459351"}, {"ref": "sergeyzelenovskiy/attack-digit-recognition-problem", "kernel_id": "15120918"}, {"ref": "metalmachine13/mnist-digit-recognition", "kernel_id": "15792536"}, {"ref": "suryaaseran/international-immigration-svm", "kernel_id": "15861006"}, {"ref": "tillmandegens/tillman-in-class-project", "kernel_id": "15606414"}, {"ref": "cahidarda/digit-recognizer-tf-cnn-kfold", "kernel_id": "15559517"}, {"ref": "nkitgupta/evaluation-metrics-for-multi-class-classification", "kernel_id": "15668053"}, {"ref": "suchadraggg/ml-project1", "kernel_id": "15844892"}, {"ref": "anhmluong/digit-recognizer-anhluong", "kernel_id": "15981232"}, {"ref": "aminghani/over-99-2-with-resnet", "kernel_id": "15016200"}, {"ref": "neomaster/nfnet-demo", "kernel_id": "15788034"}, {"ref": "hasiburniloy/adding-custom-layer", "kernel_id": "15054358"}, {"ref": "dicksonchng/tutorial-cnn-in-depth-with-digit", "kernel_id": "15830083"}, {"ref": "mikhailkuzmenkov/just-cnn-and-graphs-for-mnist", "kernel_id": "15950022"}, {"ref": "emrecanakgz/mnist-pytorch", "kernel_id": "15879068"}, {"ref": "emrecanakgz/mnist", "kernel_id": "15724438"}, {"ref": "digaamberdhamija/digit-recognition-basic-convnet", "kernel_id": "15106397"}, {"ref": "doxyly/project-1", "kernel_id": "15398127"}, {"ref": "zayanmakar/digits-recognition-using-only-tensorflow", "kernel_id": "15209353"}, {"ref": "zayanmakar/cnn-keras-digit-recognition", "kernel_id": "15385247"}, {"ref": "maozragab/use-r-cnn-digit-recognizer-99", "kernel_id": "15106142"}, {"ref": "vinesmsuic/digit-recognizer-cnn-99-2", "kernel_id": "15180177"}, {"ref": "logisticprogression/mnist-digit-recognizer", "kernel_id": "15108523"}, {"ref": "jorgefalcon/digit-recognizer-svm", "kernel_id": "15458521"}, {"ref": "jorgefalcon/digit-recognizer-cnn", "kernel_id": "15474024"}, {"ref": "sarthaksshukla/digits-recogniser", "kernel_id": "15074148"}, {"ref": "tejaswinikamath/digit-recognizer", "kernel_id": "15575783"}, {"ref": "rowanjacqueshamilton/digit-recognition-a-simple-cnn-with-keras-99-36", "kernel_id": "15700303"}, {"ref": "firozk/project47-4-mnist", "kernel_id": "15356442"}, {"ref": "shreyasur29/bagging-classifier-vs-randomforest-classifier", "kernel_id": "15278409"}, {"ref": "mohammadhy/cnn-mnist-adam-sgd-acc-99-with-plot", "kernel_id": "15853186"}, {"ref": "merveeyuboglu/mnist-digit-recognizer", "kernel_id": "15094003"}, {"ref": "vamsikrishna500466/mnist-by-deep-learning-gpu", "kernel_id": "15200801"}, {"ref": "vamsikrishna500466/mnist-by-deeplearning-cnn-1st-time", "kernel_id": "15196592"}, {"ref": "vamsikrishna500466/mnist-by-logistic-regression", "kernel_id": "15060157"}, {"ref": "dhavalkanani/digit-recognizer", "kernel_id": "15214686"}, {"ref": "khushalpujara/notebook3d42f32f58", "kernel_id": "15909079"}, {"ref": "ownit4137/gan-make-your-own-digit-writing-model", "kernel_id": "15737605"}, {"ref": "winternguyen/digit-recognizer", "kernel_id": "15776741"}, {"ref": "maxvandijck/mnist-classification-using-fastai-pytorch", "kernel_id": "15843572"}, {"ref": "deckezip/notebook-digit", "kernel_id": "15668994"}, {"ref": "henriquegaspar/convolutional-neural-network-with-keras", "kernel_id": "15181795"}, {"ref": "franvaluch/easy-digit-recognizer-with-cnn-acc-95", "kernel_id": "15409930"}, {"ref": "markstent/digit-recognizer-cnn-mnist-tpu", "kernel_id": "15632014"}, {"ref": "markstent/digit-recognizer-beginner-cnn-v2", "kernel_id": "15618323"}, {"ref": "pandekp/digit-recognizer-using-tf-cnn", "kernel_id": "15215271"}, {"ref": "wuchenhong/digit-recognize-using-pca-and-svm", "kernel_id": "15891635"}, {"ref": "kundankumarmandal/mnist-data-recognizer", "kernel_id": "15552367"}, {"ref": "michaeltehc/digitrecsimple", "kernel_id": "15678731"}, {"ref": "brunoarcanjo/binary-cnn-for-digit-classification-mnst", "kernel_id": "15653629"}, {"ref": "afsanehm/mnist-digit-recogniser-using-pytorch", "kernel_id": "15285605"}, {"ref": "greynolan/digit-recognizer-accuracy-99-3", "kernel_id": "15051042"}, {"ref": "ryzhovdmitry/keras-cnn-with-dropout", "kernel_id": "15013526"}, {"ref": "janus1337/digit-recognition-simple-solution-99", "kernel_id": "15939285"}, {"ref": "yyuan94/svm-classifier-with-gpu-acceleration", "kernel_id": "15106193"}, {"ref": "rookgordon/simple-cnn-with-data-augmentation", "kernel_id": "15432490"}, {"ref": "riyahedaoo/digits", "kernel_id": "15125988"}, {"ref": "korjmorj/digit-recognizer-lenet-alexnet-pytorch-vs-keras", "kernel_id": "15277165"}, {"ref": "alexandergilmore/mnist-pytorch-cnn", "kernel_id": "15158685"}, {"ref": "tammamkhan/digit-image-recognizer-keras-cnn", "kernel_id": "15260842"}, {"ref": "kdrortatas/digit-recognizer-with-cnn", "kernel_id": "15427154"}, {"ref": "aldoukancert/digit-recognizer-cnn", "kernel_id": "15427282"}, {"ref": "kartik2khandelwal/start-for-beginners", "kernel_id": "15249820"}, {"ref": "akshatpattiwar/digit-recognizer", "kernel_id": "15253533"}, {"ref": "mattmccoy/extra-credit-rf", "kernel_id": "15564367"}, {"ref": "devinbunch/in-class-extra-credit-predicting-pixels", "kernel_id": "15417252"}, {"ref": "yulingwu1/in-class-project", "kernel_id": "15416871"}, {"ref": "zhichaoshan/restaurants", "kernel_id": "15415019"}, {"ref": "zhichaoshan/boost", "kernel_id": "15403124"}, {"ref": "eander462/notebook011a20a713", "kernel_id": "15416781"}, {"ref": "rahulmish/mnist-explained-simply-using-random-forest-keras", "kernel_id": "15671769"}, {"ref": "fatmagler/digit-recognizer-with-cnn", "kernel_id": "15031889"}, {"ref": "sainiamit/mnist-with-cnn", "kernel_id": "15432782"}, {"ref": "yogeshlearn/mnist-neural-network", "kernel_id": "15549646"}, {"ref": "yogeshlearn/mnist-autoencoder", "kernel_id": "15548500"}, {"ref": "alekseikaravaev/mnist", "kernel_id": "15347053"}, {"ref": "coralierobert/projet-big-data-groupe-12", "kernel_id": "15853033"}, {"ref": "jcy1996/digit-recognizer-baseline", "kernel_id": "15716305"}, {"ref": "jcy1996/image-augmentation", "kernel_id": "15920576"}, {"ref": "shumailimam/mnist-dataset-digit-recognizer", "kernel_id": "15131378"}, {"ref": "mayasakaguchi/ring-counting-algorithm", "kernel_id": "15187582"}, {"ref": "harshpatel66/mnist-cnn", "kernel_id": "15189360"}, {"ref": "ismailerkilic/digit-recognizer-mnist-data", "kernel_id": "15835183"}, {"ref": "rahul253801/a-beginner-s-approach-to-mnist-99-16-accuracy", "kernel_id": "15804767"}, {"ref": "yasinsoylu123/convolutional-neural-network-cnn-tutorial", "kernel_id": "15117292"}, {"ref": "maxreis/digit-recognizer-submission-with-h2o-automl", "kernel_id": "15968920"}, {"ref": "lyndenduncan/mnist-convnet", "kernel_id": "15132998"}, {"ref": "mujeeb07/notebook23597638bf", "kernel_id": "15825519"}, {"ref": "sanchitpathak/digit-recognizer-nn", "kernel_id": "15175876"}, {"ref": "fathurmajid/digit-recognizer-cnn", "kernel_id": "15708615"}, {"ref": "jamieleech/digit-recognizer-v3-0", "kernel_id": "15162783"}, {"ref": "fathhalak/notebook6f96e2e2ca", "kernel_id": "15275395"}, {"ref": "fathhalak/digit-cnn", "kernel_id": "15401793"}, {"ref": "ibrahimhalilsakar/digit-recognizer-with-cnn", "kernel_id": "15703497"}, {"ref": "shaequeen/svm-pca-digit-recognizer-98-4", "kernel_id": "15048317"}, {"ref": "zaidez/digit-recognizer-accuracy-99-3", "kernel_id": "15070821"}, {"ref": "theathena/mnist-dataset-digit-recognizer", "kernel_id": "15111734"}, {"ref": "edisonthk/cnn-model-with-99-accuracy", "kernel_id": "15212789"}, {"ref": "allenbrownz/mnist-cnn", "kernel_id": "15263948"}, {"ref": "abigaildorsa/mnist-top-scorer", "kernel_id": "15221711"}, {"ref": "williamfsavage/de-mnistifyers", "kernel_id": "15823399"}, {"ref": "aiguna/beginner-digit-recognizer-using-tensorflow", "kernel_id": "15731882"}, {"ref": "matthewormson/project1", "kernel_id": "15767099"}, {"ref": "pardeepsingh01/digit-recognizer-ml", "kernel_id": "15774583"}, {"ref": "almamun4r/activation4digit-recognizer-mnist", "kernel_id": "15719989"}, {"ref": "amrutayemul/mnist-digit-recognizer-using-cnn", "kernel_id": "15560073"}, {"ref": "arlleygabriel/mnist-cnn-arlley", "kernel_id": "15436655"}, {"ref": "venelouis/mlp-simples-com-keras-para-iniciantes", "kernel_id": "15414923"}, {"ref": "p3t23th10/huan-luyen-mang-neural-sgd", "kernel_id": "15539500"}, {"ref": "bochrabenjaballah/digit-recognizer-competition", "kernel_id": "15983562"}, {"ref": "cubibabo/neuralnetworksgd-nguy-n-c-trung-59th3-175a071327", "kernel_id": "15550167"}, {"ref": "nguynhongtrung2304/bt4-175a071152", "kernel_id": "15539189"}, {"ref": "nonthakornolaranont/225chw1", "kernel_id": "15975237"}, {"ref": "mt77pp/mljar-automl-digit-recognizer", "kernel_id": "16061340"}, {"ref": "miguelarribas/pytorch-mlp-with-1-hidden-layer", "kernel_id": "16970270"}, {"ref": "laurauzcategui/digit-recognizer-using-csvdataset-transferlearn", "kernel_id": "16855222"}, {"ref": "abee82/commonlit-readability-using-fastai-v2", "kernel_id": "16767264"}, {"ref": "abee82/99-5-on-mnist-classification-using-fastai-v2", "kernel_id": "16631093"}, {"ref": "abhishekgar/digit-recogniser-explorin-2", "kernel_id": "16825424"}, {"ref": "skiplik/another-mnist-try", "kernel_id": "16352661"}, {"ref": "lenalei/mnist-simple-example", "kernel_id": "16835120"}, {"ref": "akaash/digit-recognizer-using-xgboost-lightgbm", "kernel_id": "16444312"}, {"ref": "pr2tik1/logistic-regression-in-pytorch-from-scratch", "kernel_id": "16341386"}, {"ref": "pr2tik1/multi-layered-perceptron-pytorch", "kernel_id": "16346688"}, {"ref": "gokhankesler/comparison-of-basic-ml-classification-algorithms", "kernel_id": "16855738"}, {"ref": "tonystark117/mnist-visualization", "kernel_id": "16671124"}, {"ref": "nitsin/pca-demo", "kernel_id": "16374669"}, {"ref": "nitsin/pca-demo-1", "kernel_id": "16771140"}, {"ref": "tej1234/deep-nn-using-tensorflow-0-977", "kernel_id": "16399652"}, {"ref": "wolfy73/benford-s-law-and-neural-networks", "kernel_id": "16583463"}, {"ref": "ankitp013/digit-recognition-using-cnn", "kernel_id": "16925743"}, {"ref": "rybhatt27/getting-started-with-digit-recognition-mnist", "kernel_id": "16137922"}, {"ref": "gopiyedla/mnist-with-tf", "kernel_id": "16001396"}, {"ref": "dijiswiki/digit-recognizer-capsule-networks", "kernel_id": "16575518"}, {"ref": "stpeteishii/mnist-conv2d-comparison", "kernel_id": "16394338"}, {"ref": "stpeteishii/mnist-prediction-densenet201", "kernel_id": "16278398"}, {"ref": "stpeteishii/mnist-conv2d", "kernel_id": "16183732"}, {"ref": "pharamund/chainer-mnistclassifier-base", "kernel_id": "16936151"}, {"ref": "sushakanaujia/digit-model", "kernel_id": "16639554"}, {"ref": "kelvar/digit-recognizer-competition", "kernel_id": "16250474"}, {"ref": "toldo171/tutorial-how-to-get-99-2-from-scratch-indepth", "kernel_id": "16000160"}, {"ref": "simplism/mnist-predictions", "kernel_id": "16614383"}, {"ref": "ufffnick/cnn-model-without-recreate-images-form-data-set", "kernel_id": "16811586"}, {"ref": "akashdixit0905/handwritten-digit-recognization-cnn-acc-98-7", "kernel_id": "16947275"}, {"ref": "aniruddha001/digit-recognition", "kernel_id": "16112003"}, {"ref": "naokiokada/digit-recognizer", "kernel_id": "16438657"}, {"ref": "mohamedahmedae/digit-recognizer", "kernel_id": "16139087"}, {"ref": "mxhmovd/digit-recognizer-0-98", "kernel_id": "16481134"}, {"ref": "kliuiev/mnist-lenet5", "kernel_id": "16782954"}, {"ref": "kliuiev/mnist-lenet5-kaggle-data", "kernel_id": "16759477"}, {"ref": "tarzon/mnist0-1", "kernel_id": "16346991"}, {"ref": "gahogg/notebookcb25808694", "kernel_id": "16504240"}, {"ref": "walras/digits-with-cnn", "kernel_id": "16081097"}, {"ref": "walras/mnist-knn-and-rf", "kernel_id": "16041467"}, {"ref": "adhamlucas/mnist-digit-recgnizer-adham", "kernel_id": "16938783"}, {"ref": "gurujaing/mnist", "kernel_id": "16752902"}, {"ref": "suchismitabh/digit-recogniser-mnist", "kernel_id": "16780729"}, {"ref": "samanemami/feature-extraction", "kernel_id": "16852560"}, {"ref": "saipriyareddi03/digit-recognizer", "kernel_id": "16592999"}, {"ref": "visheshagrawal/notebook6e955e6041", "kernel_id": "16331965"}, {"ref": "sakshaymahna/digitrecognizer-dl-resnet", "kernel_id": "16951074"}, {"ref": "sakshaymahna/exploratorydataanalysis-digitrecognizer", "kernel_id": "16782606"}, {"ref": "sakshaymahna/digitrecognizer-dl", "kernel_id": "16746344"}, {"ref": "sakshaymahna/digitrecognizer-nondl", "kernel_id": "16523981"}, {"ref": "brunosan2018/boosting-models-for-digits-97-accuracy", "kernel_id": "16708361"}, {"ref": "srikarkodakandla/25-million-images-0-99757-mnist", "kernel_id": "16302236"}, {"ref": "gokussj2/cnn-with-pytorch-for-mnist", "kernel_id": "16910345"}, {"ref": "rasheedaz/mnist-classification-using-lenet-5-architecture", "kernel_id": "16939129"}, {"ref": "raghava95/digit-recognition-with-pytorch", "kernel_id": "16662063"}, {"ref": "abhilashrajan/digit-recognizer-with-neural-network", "kernel_id": "16351893"}, {"ref": "ylzheng/simple-mnist-numpy-from-scratch", "kernel_id": "16086320"}, {"ref": "anthonyyiu/mnist-lenet", "kernel_id": "16159499"}, {"ref": "ahmadrezasezavar/simple-cnn", "kernel_id": "16989944"}, {"ref": "vaibhavwagaskar/digit-recognizer-tensorflow-basics", "kernel_id": "16805336"}, {"ref": "minhn520/handwritten-digit-recognizer", "kernel_id": "16379070"}, {"ref": "johnkoumentis/mnist-pytorch", "kernel_id": "16082262"}, {"ref": "jswxhd/tf2-x-customize-your-digit-recognizer-pipeline", "kernel_id": "16977218"}, {"ref": "max398434434/dimensionality-reduction-for-eda-cnn-acc-98-9", "kernel_id": "16127583"}, {"ref": "piotrcichacki/mnist", "kernel_id": "16481271"}, {"ref": "farhanhaikhan/tastytsnewithkrunchyknn", "kernel_id": "16894666"}, {"ref": "imaginationnokami/vector-matrix-multiplication", "kernel_id": "16227881"}, {"ref": "shyamgupta196/digit-recognizer-98-convnets-basic", "kernel_id": "16307758"}, {"ref": "manjilkarki/digits-recognizer", "kernel_id": "16626965"}, {"ref": "justabhishekprasad/comparitive-models-for-digit-recognizer", "kernel_id": "16070869"}, {"ref": "allenxuanyuwang/mnist-classification-based-on-cnn", "kernel_id": "16946218"}, {"ref": "abhaporwal/mnist-digit-cnn", "kernel_id": "16673793"}, {"ref": "prashantkhorana/pk-digit-recognizer-mnist", "kernel_id": "16291609"}, {"ref": "prashantkhorana/prashant-khorana-digit-recognition-using-ann", "kernel_id": "16291748"}, {"ref": "jamesbond00700/digit-recognizer-cnn-pytorch", "kernel_id": "16939119"}, {"ref": "mrigendraagrawal/introduction-to-ganime", "kernel_id": "16680737"}, {"ref": "shreyaspj/digit-recognizer", "kernel_id": "16272466"}, {"ref": "wangyuren/mnist-efficientnet-gpu", "kernel_id": "16172075"}, {"ref": "graphnull/mnist-tensorflowjs", "kernel_id": "16970072"}, {"ref": "aayushvohra/notebook5768c9f360", "kernel_id": "16063102"}, {"ref": "saaisudarsanand/learning-digits-over-again", "kernel_id": "16823850"}, {"ref": "yhirakawa/introduction-to-cnn-keras", "kernel_id": "16500336"}, {"ref": "danielkorth/visualizing-neural-networks-using-t-sne-and-umap", "kernel_id": "16163379"}, {"ref": "suryaaseran/mnist-decision-tree", "kernel_id": "16013466"}, {"ref": "chunzps/mnist-cnn", "kernel_id": "16546231"}, {"ref": "vikasshivalingaiah/model-evolved-from-supercodeepneat-algorithm", "kernel_id": "16113540"}, {"ref": "nikitaglazunov/mnist-pytorch-99-5-accuracy", "kernel_id": "16010921"}, {"ref": "kirillrazumov/cnn-digit-recognizer-tf-keras", "kernel_id": "16481406"}, {"ref": "dicksonchng/tutorial-simple-hyperparam-with-digit-data", "kernel_id": "16526171"}, {"ref": "ma4ypic4y/top-4-rus-sub", "kernel_id": "16139837"}, {"ref": "ragilhadip/digit-recognition-svm", "kernel_id": "16551762"}, {"ref": "pathikghugare/digit-recognizer", "kernel_id": "16990390"}, {"ref": "akashkanojiya/hand-digits", "kernel_id": "16281281"}, {"ref": "valensioleonard/mnist-eda-and-cnn", "kernel_id": "16259038"}, {"ref": "amangope/digit-recognizer", "kernel_id": "16260512"}, {"ref": "konstantinsuspitsyn/neural-network-from-scratch-numpy-only", "kernel_id": "16815687"}, {"ref": "preetviradiya/mnist", "kernel_id": "16031515"}, {"ref": "chandrarajsingh/in-depth-introduction-to-cnn-keras-0-99845", "kernel_id": "16805997"}, {"ref": "ashishcode/digit-recognizer-99-accuracy-cnn", "kernel_id": "16952575"}, {"ref": "rickyanashita/majestic-blueberries-digit-recognizer", "kernel_id": "16689194"}, {"ref": "niteshsharmaiitk/digit-recognizer1", "kernel_id": "16163398"}, {"ref": "aliguzmanadan/cnn-batchnorm-gd-momentum-in-pytorch", "kernel_id": "16399208"}, {"ref": "dariushbahrami/mnist-classification-with-tensorflow", "kernel_id": "16223523"}, {"ref": "jeetu0980/digit-recognizer", "kernel_id": "16347671"}, {"ref": "dssouvikganguly/digit-recognition-99-55-acc-indepth-tutorial", "kernel_id": "16313986"}, {"ref": "ayush472/mnist", "kernel_id": "16059119"}, {"ref": "gwenlegate/handwritten-digit-model-98-9-accuracy", "kernel_id": "16602040"}, {"ref": "mehrotraaditya/notebookd118356230", "kernel_id": "16594167"}, {"ref": "anujyadav1/simple-deep-learning", "kernel_id": "16151502"}, {"ref": "adi282123/mnist-overview-and-prediciton-model", "kernel_id": "16189715"}, {"ref": "dldmedeiros/mlp-simples-com-keras-para-iniciantes", "kernel_id": "16938785"}, {"ref": "riyabansal/notebooka15dadc809", "kernel_id": "16156171"}, {"ref": "muhammadismail99/cnn-on-mnist", "kernel_id": "16517282"}, {"ref": "alperenspr/digit-recognizer-with-cnn", "kernel_id": "16233803"}, {"ref": "noelyoda/cnn-practising-as-digit-recognization-for-beginner", "kernel_id": "16662723"}, {"ref": "siupark/digit-recognizer-using-cnn", "kernel_id": "16300649"}, {"ref": "ryotakun/digit-recognizer-with-tensorflow-cnn", "kernel_id": "16541292"}, {"ref": "greynolan/digit-recognizer-pytorch", "kernel_id": "16710885"}, {"ref": "xxanderr/mnist-digit-recognizer-using-fully-connected-nn", "kernel_id": "16343737"}, {"ref": "ilyapozdnyakov/mnist-cnn-using-pytorch", "kernel_id": "16671167"}, {"ref": "srishtayy/digit-recognizer-using-svm", "kernel_id": "16554778"}, {"ref": "ashxyz998/digit-recogniser-1", "kernel_id": "16492293"}, {"ref": "nafiularaf/digit-recognizer-using-cnn", "kernel_id": "16847606"}, {"ref": "nafiularaf/digit-recognition-using-ann", "kernel_id": "16279235"}, {"ref": "mishradiwakar24/digit-recognizer", "kernel_id": "16976617"}, {"ref": "matashenrquez/digit-recognizer-98", "kernel_id": "16141800"}, {"ref": "samarthgupta39/mnist-digit-recognizer", "kernel_id": "16152257"}, {"ref": "hocohelper/mnist-sgd-knn-acc-97", "kernel_id": "16847015"}, {"ref": "attaullahshafiq/digitrecognizer", "kernel_id": "16891590"}, {"ref": "ezzghalibtomizi/digit-reconnizer-solution-without-cnn", "kernel_id": "16173861"}, {"ref": "thrineshduvvuru/digit-recognizer-99-13-accuracy", "kernel_id": "16219706"}, {"ref": "thoengb/handwritten-digits-identification-cnn", "kernel_id": "16160576"}, {"ref": "michaellutz/eda-data-augmentation", "kernel_id": "16259713"}, {"ref": "alexmanens/eda-data-augmentation-4e9fa6", "kernel_id": "16683943"}, {"ref": "phamvudung/mnist", "kernel_id": "16398808"}, {"ref": "jasontsiscn/0506digit-easy-test", "kernel_id": "16774383"}, {"ref": "omarelbanaoui/digit-recognition", "kernel_id": "16674185"}, {"ref": "marcogherbezza/digit-recognizer", "kernel_id": "16625532"}, {"ref": "itsandrew/eda-data-augmentation-ac8623", "kernel_id": "16683946"}, {"ref": "haydenboone/boone-minst-img-recognition-cnn-keras", "kernel_id": "16497659"}, {"ref": "yangwang3074897/digit", "kernel_id": "16264124"}, {"ref": "isumanthparuchuri/digitrecognition-understanding-data", "kernel_id": "16032074"}, {"ref": "darkhorcrux/cnn-digit-recognizer", "kernel_id": "16604296"}, {"ref": "maxreis/digit-recognizer-submission-with-tensorflow", "kernel_id": "16029042"}, {"ref": "vishwasyogi/mnist-digits-classifier", "kernel_id": "16881672"}, {"ref": "utkarshm25/digit-recognition-using-a-cnn", "kernel_id": "16748955"}, {"ref": "ajazahmedturki/digit-recognizer", "kernel_id": "16934634"}, {"ref": "mrbasaran/notebookd2f07ed5a8", "kernel_id": "16798180"}, {"ref": "chenduanyun/cnn-for-mnist-get-99-accuracy", "kernel_id": "16218952"}, {"ref": "chenduanyun/cnn-minist-99", "kernel_id": "16213978"}, {"ref": "aymanlafaz/mnist-resnet50-transfer-learning", "kernel_id": "16960601"}, {"ref": "rafetcan/convolutional-neural-network-cnn-tutorial", "kernel_id": "16272181"}, {"ref": "nehaabansal/digit-recognizer", "kernel_id": "16964915"}, {"ref": "innocentmchechesi/my-nueral-network-from", "kernel_id": "16937059"}, {"ref": "kurtjonach/mnist-handwritten-digit-classifier", "kernel_id": "16076071"}, {"ref": "brunofevereiro/digit-recognizer-pae-imt-vers-o-final", "kernel_id": "16051890"}, {"ref": "sinanenocak/digit-recognizer-convolutional-neural-network", "kernel_id": "16842267"}, {"ref": "sylvainreboux/digit-recognizer3", "kernel_id": "16370379"}, {"ref": "rambabuchaurasiya/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "16477185"}, {"ref": "sgneves/digit-recognizer-models-comparison-and-tuning", "kernel_id": "16269261"}, {"ref": "jimregan/mnist-digit-cnn", "kernel_id": "16853452"}, {"ref": "leonardoarouck/pae-digit", "kernel_id": "16051880"}, {"ref": "naufilmajid/my-first-submit", "kernel_id": "16195774"}, {"ref": "naufilmajid/my-first-submit-1", "kernel_id": "16196374"}, {"ref": "meetbhalia/mnist-digitrecognizer-cnn", "kernel_id": "16068617"}, {"ref": "antoniopatriarca/digit-recognizer-cnn", "kernel_id": "16276106"}, {"ref": "kurochkinalexey/digit-recognizer", "kernel_id": "16785386"}, {"ref": "brsdincer/digit-recognizer-explanation-classifiers-ann", "kernel_id": "16166682"}, {"ref": "nguynminhphng/convolutional-neural-network", "kernel_id": "16876407"}, {"ref": "legago/mnist-with-sklearn-votingclassifier-0-9825", "kernel_id": "16791797"}, {"ref": "jithinnambiarj/digitrecognizerlmao", "kernel_id": "16112271"}, {"ref": "jingrongwei/simple-mnist-numpy-from-scratch", "kernel_id": "16075729"}, {"ref": "thrillroyd/99-with-simple-cnn", "kernel_id": "16437622"}, {"ref": "jyang24/225c-hw1-fnn-for-mnist", "kernel_id": "16067470"}, {"ref": "georgiisirotenko/pytorch-mnist-transferlearning-ensemble-99-714", "kernel_id": "16709948"}, {"ref": "augustocamaral/simple-cnn-to-recognize-digits", "kernel_id": "16373329"}, {"ref": "changzhange/digit-recognizer-tf", "kernel_id": "16129829"}, {"ref": "sefe224/notebook8b335a3df6", "kernel_id": "16986815"}, {"ref": "faisalsheikh/notebookccc07dfedf", "kernel_id": "16292217"}, {"ref": "mlevytskyi/randomforest-97", "kernel_id": "16538076"}, {"ref": "vanvietcao/digit-recognition-using-keras-improved-by-vietcv", "kernel_id": "16507945"}, {"ref": "mjjames/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "16591754"}, {"ref": "yoongyungcho/notebook-00001", "kernel_id": "16987085"}, {"ref": "pauldyachek/easy-for-begginers-cnn-dataloader-example-pytorch", "kernel_id": "16748934"}, {"ref": "shreyanshratnamkhare/digit1", "kernel_id": "16907230"}, {"ref": "tatsyaishikawa/chainer-mnistclassifier-base", "kernel_id": "16937818"}, {"ref": "ryomasuemura/chainer-mnistclassifier-base", "kernel_id": "16942707"}, {"ref": "lurkerich/notebookf24549ba81", "kernel_id": "16977752"}, {"ref": "miguelarribas/pytorch-cnn", "kernel_id": "17263076"}, {"ref": "subinek/simple-keras-based-digit-classifier", "kernel_id": "17043270"}, {"ref": "scirpus/supercool-knn", "kernel_id": "17270866"}, {"ref": "nrhan0623/digit-recognizer-with-knn", "kernel_id": "17775680"}, {"ref": "nrhan0623/digit-recognizer-with-cnn", "kernel_id": "17780452"}, {"ref": "rajasuman09/mnist-competition", "kernel_id": "17447255"}, {"ref": "sakshamgulati/hello-computer-vision", "kernel_id": "17846883"}, {"ref": "sravyaysk/solving-mnist-using-tensorflow", "kernel_id": "17469360"}, {"ref": "sravyaysk/improving-mnist-with-cnn", "kernel_id": "17555866"}, {"ref": "jitender786/dr-nn-97", "kernel_id": "17329350"}, {"ref": "aayushkubba/initial-submission-cv-problem-1", "kernel_id": "17708344"}, {"ref": "aayushkubba/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "17706737"}, {"ref": "aayushkubba/convolutional-neural-network-cnn-tutorial", "kernel_id": "17672537"}, {"ref": "alvaromarx/face-detection-notebook", "kernel_id": "17170028"}, {"ref": "alvaromarx/face-detection-notebook-tarefas", "kernel_id": "17717096"}, {"ref": "unfinishedgod/cnn-with-mnist", "kernel_id": "17871405"}, {"ref": "lipeng2/mnist-demo", "kernel_id": "17795416"}, {"ref": "yeonghyeon/step-by-step-mnist-full-package-eda-tensorflow", "kernel_id": "17448533"}, {"ref": "shilpaar/mnist-digit-classification-using-tensorflow", "kernel_id": "17292810"}, {"ref": "abhilash1910/tfmodelquantizer-quantization-of-tf-models", "kernel_id": "17165107"}, {"ref": "shihwei1115/digit-recognizer", "kernel_id": "17149274"}, {"ref": "wdsrocha/yet-another-cnn", "kernel_id": "17365074"}, {"ref": "uphogat/simple-perceptron-classifier", "kernel_id": "17249953"}, {"ref": "am3z0la/classification-tree-notebook", "kernel_id": "17339144"}, {"ref": "fanbyprinciple/implementing-lenet-using-pytorch-beginner", "kernel_id": "17412182"}, {"ref": "williamu32/digit-recognizer-deeplearning", "kernel_id": "17253784"}, {"ref": "ric1903/18bce1086-da-2", "kernel_id": "17491635"}, {"ref": "rozamira/mlp-digit", "kernel_id": "17303075"}, {"ref": "gabrielmilan/mnist-classification-using-autoencoders-baseline", "kernel_id": "17046671"}, {"ref": "sachinsaj/digit-recognizer-using-cnn", "kernel_id": "17449686"}, {"ref": "nimabm/simple-neural-network", "kernel_id": "17243492"}, {"ref": "blossom1994/digit-recognition-with-cnn", "kernel_id": "17326352"}, {"ref": "stpeteishii/mnist-classify-xgboost", "kernel_id": "17551413"}, {"ref": "salikhussaini49/digit-classifier-86-accuracy", "kernel_id": "17950726"}, {"ref": "azhar2ds/mnist-tensorflow", "kernel_id": "17465466"}, {"ref": "devkrishnakc/mnist-digit-recognizer", "kernel_id": "17804844"}, {"ref": "sourabhbaldwa/digit-reocog", "kernel_id": "17915715"}, {"ref": "srikarummineni/mnist-checksum", "kernel_id": "17283349"}, {"ref": "bhargavrko619/digit-recognizer-top-17", "kernel_id": "17131438"}, {"ref": "dileepsahu/digit-recognizer", "kernel_id": "17224243"}, {"ref": "shangeetha/mnist-digit-classification", "kernel_id": "17414763"}, {"ref": "mantena2377/digitrecognizer-using-svm", "kernel_id": "17665230"}, {"ref": "gdmito/digit-recognition-using-cnns", "kernel_id": "17920540"}, {"ref": "codears/digit-classifier-97-2", "kernel_id": "17986348"}, {"ref": "lykin22/digit-recognition-with-simple-cnn", "kernel_id": "17028948"}, {"ref": "ashfarhangi/mnist-2", "kernel_id": "17856732"}, {"ref": "ashfarhangi/mnist-1", "kernel_id": "17856755"}, {"ref": "adhamlucas/cnn-adham", "kernel_id": "17361556"}, {"ref": "fuyumai12/digit-recognizer-very-very-simple-notebook", "kernel_id": "17047414"}, {"ref": "arunpurakkatt/handwritten-digit-recognition-cnn", "kernel_id": "17159331"}, {"ref": "vkshah20/digit-recognizer-task", "kernel_id": "17260631"}, {"ref": "souparnabose99/mnist-deep-learning-99-8-accuracy", "kernel_id": "17689633"}, {"ref": "cuihua2020/simple-autoencoder-digit-recognizer", "kernel_id": "17501973"}, {"ref": "ahmedhani/mnisit-single-digit-recognizer-neural-network", "kernel_id": "17314171"}, {"ref": "the0electronic0guy/digit-recognise-cnn-keras-99-accuracy", "kernel_id": "17991612"}, {"ref": "wkalim/digit-recognizer-accuracy-99-278", "kernel_id": "17000530"}, {"ref": "vinaypratap/digit-recognizer-using-cnn-acc-upto-0-9927", "kernel_id": "17999368"}, {"ref": "satwikd/digit-recognizer-nn", "kernel_id": "17850788"}, {"ref": "samanemami/mnist-training-with-a-model-different-than-cnn", "kernel_id": "17584340"}, {"ref": "jesusdourado/jesus-cnn-simples-com-keras-para-iniciantes", "kernel_id": "17251859"}, {"ref": "ianalves21/topii-2020-2-digitrecognizer", "kernel_id": "17251867"}, {"ref": "douglassilvademelo/cnn-simples-com-keras-para-iniciantes-douglas", "kernel_id": "17252509"}, {"ref": "fabianstadler/build-a-cnn-for-digit-recognition-with-keras", "kernel_id": "17543173"}, {"ref": "songseungwon/clone-conditional-generative-adversarial-network", "kernel_id": "17436483"}, {"ref": "songseungwon/pytorch-gan-basic-tutorial-for-beginner", "kernel_id": "17679911"}, {"ref": "songseungwon/clone-pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "17650243"}, {"ref": "nettasav/mnist-digit-recognizer-top-14", "kernel_id": "17484229"}, {"ref": "josephchoi2173/digit-recognizer", "kernel_id": "17552230"}, {"ref": "sharadhaviswanathan/mnist-digit-classifier-svm-98-cnn-top-15", "kernel_id": "17428248"}, {"ref": "sharadhaviswanathan/mnist-digit-classifier-svm-98", "kernel_id": "17406676"}, {"ref": "priyankdubey/digit-recognition-using-lenet", "kernel_id": "17541546"}, {"ref": "aashaypatel/mnsit", "kernel_id": "17285224"}, {"ref": "niloyswe/minimalistic-mnist-cnn", "kernel_id": "17541810"}, {"ref": "sarthak2001/digit-recognizer", "kernel_id": "17323558"}, {"ref": "chiranjeevibiradar/digit-recogniser", "kernel_id": "17219395"}, {"ref": "manseeh/digit-recognizer-with-cnn", "kernel_id": "17718138"}, {"ref": "duartediogo/digit-recognizer", "kernel_id": "17362263"}, {"ref": "manvendrasrathore/pca-on-digits-data-principal-component-analysis", "kernel_id": "17722942"}, {"ref": "ritikpnayak/mnist-ann-from-scratch", "kernel_id": "17169650"}, {"ref": "nitinbansal02/cnn-classification", "kernel_id": "17315536"}, {"ref": "leoyuguanall/mnist-digit-recognizer-starter-notebook", "kernel_id": "17728192"}, {"ref": "wilbertmarins/cnn-simples-com-keras-para-iniciantes", "kernel_id": "17353575"}, {"ref": "harshdhamecha/digit-recognizer", "kernel_id": "17264144"}, {"ref": "pradeepmiriyala/digit-recognition-98-875", "kernel_id": "17168461"}, {"ref": "ssmohanty/digit-recog-cnn-exploration", "kernel_id": "17444685"}, {"ref": "shashanksinghals/digit-recognition-with-4-regression-model", "kernel_id": "17163541"}, {"ref": "baranaldemir1/mnist-classification", "kernel_id": "17189980"}, {"ref": "danilkrivoshein/best-try-digit-recognizer-0-99", "kernel_id": "17682119"}, {"ref": "raksh710/mnist-using-cnn-99-6-test-accuracy", "kernel_id": "17534453"}, {"ref": "abrahamanderson/advanced-classification-99-accuracy", "kernel_id": "17899574"}, {"ref": "sounakmandal/cnn-architecture", "kernel_id": "17295356"}, {"ref": "keremkargn/digit-recognizer", "kernel_id": "17150534"}, {"ref": "miguelgonzlezortiz/cnn-digit-recognizer", "kernel_id": "17292126"}, {"ref": "prateekkkumar/digit-recognition-99-2-simple-cnn", "kernel_id": "17014738"}, {"ref": "chunzps/mnist-cnn-99-4", "kernel_id": "17422453"}, {"ref": "yasharora905/digit-recognizer", "kernel_id": "17265965"}, {"ref": "sashankmvv/digit-recognizer", "kernel_id": "17690052"}, {"ref": "parsakh/digit-recognizer", "kernel_id": "17325299"}, {"ref": "shantanusoni/multiclass-classification", "kernel_id": "17540997"}, {"ref": "rahulsingla5209/grid-search-for-hyper-parameter-mnsit", "kernel_id": "17167983"}, {"ref": "jeetmajumdar/exercise-mnist-pytorch", "kernel_id": "17914752"}, {"ref": "greeshmanbilla/onevsoneclassifier", "kernel_id": "17355518"}, {"ref": "amanmaheshwari24/18bce1230-mlda2", "kernel_id": "17481806"}, {"ref": "amanmaheshwari24/digit-recognizer", "kernel_id": "17480545"}, {"ref": "hhp07022000/object-localization-with-mnist", "kernel_id": "17128610"}, {"ref": "krishnamore/mnist-digit-recognizer-cnn", "kernel_id": "17664631"}, {"ref": "abdelrahmanzied/digit-recognizer-classification-cnn-98-accuracy", "kernel_id": "17437446"}, {"ref": "jonatastravessa/reconhecimento-de-d-gitos-com-cnn", "kernel_id": "17286983"}, {"ref": "foramkavathiya/digit-recognizer", "kernel_id": "17494442"}, {"ref": "x6tenz/digit-recognizer", "kernel_id": "17142949"}, {"ref": "brendanartley/mnist-pytorch-cnn-99-2", "kernel_id": "17531813"}, {"ref": "riyadmorshedshoeb/mnist-with-convnet", "kernel_id": "17518206"}, {"ref": "ashishsingh226/mnist-digits-conditional-dcgan", "kernel_id": "17483051"}, {"ref": "thoeer/cnn-handwritten-digit-recognition", "kernel_id": "17052029"}, {"ref": "fernandapratama/digit-recognizer-using-svm", "kernel_id": "17348857"}, {"ref": "mdmustafijurrahman/digit-recognizer", "kernel_id": "17924236"}, {"ref": "twaritshah/digit-recognition-on-mnist-0-989-score", "kernel_id": "17244120"}, {"ref": "arnoldyanga/mnist-classification-using-lenet5", "kernel_id": "17408668"}, {"ref": "datakagglesem/mnist-database-with-cnn-deep-learning", "kernel_id": "17693856"}, {"ref": "abbasitc/freeman-chain-code", "kernel_id": "17329143"}, {"ref": "sahilbhatia08/mnist-using-svm-knn-rf-xgb-acc-97-8", "kernel_id": "17308190"}, {"ref": "priyanshu173/mnist", "kernel_id": "17162480"}, {"ref": "nayaracerdeira/cnn-simples-com-keras-para-iniciantes", "kernel_id": "17360718"}, {"ref": "virjakawade/step-by-step-mnist-digit-recognition", "kernel_id": "17671107"}, {"ref": "erikatiliosilvarey/cnn-simples-com-keras", "kernel_id": "17251915"}, {"ref": "rafaelameloferreira/cnn-simples-com-keras-para-iniciantes-rafaela-m", "kernel_id": "17251864"}, {"ref": "zohaib30/digit-recognizer-using-cnn-updated-99-acc", "kernel_id": "17076582"}, {"ref": "tommyott/simple-neural-net-from-scratch-89-accuracy", "kernel_id": "17677397"}, {"ref": "sergheyhmeli/digit-recognition-99-3", "kernel_id": "17991975"}, {"ref": "keenanzhuo/digit-recogniser-cnn", "kernel_id": "17152862"}, {"ref": "palakmejpara/hello-world-of-ml-digit-recognizer", "kernel_id": "17216505"}, {"ref": "nishant3047/digit-recognizer", "kernel_id": "17674826"}, {"ref": "dogukanl/hello-world", "kernel_id": "17334548"}, {"ref": "suyashlakhani/mnist-digit-recognizer-cnn-99-01", "kernel_id": "17962821"}, {"ref": "xhanxux/mnist", "kernel_id": "17517415"}, {"ref": "mayankrajpurohit/mnist-digit-recognizer", "kernel_id": "17544575"}, {"ref": "jerifate/digit-recognizer-pytorch-baseline-for-starter", "kernel_id": "17740858"}, {"ref": "miseryjerry/mnist-pytorch", "kernel_id": "17219527"}, {"ref": "jellanalica/digit-recognizer-june10-2021", "kernel_id": "17616432"}, {"ref": "harshdubey78/deep-learning-digit-recognizer-keras", "kernel_id": "17545828"}, {"ref": "highonmaths/notebook8d3e7f5a04", "kernel_id": "17180395"}, {"ref": "djibrilissoufou/transfert-learnig-with-mobilenetv2", "kernel_id": "17463184"}, {"ref": "rml2020/digit-recognizer-using-knn-beginners", "kernel_id": "17717120"}, {"ref": "ashleypaloalto2020/tutorial-dimensionality-reduction-pca-maths", "kernel_id": "17994981"}, {"ref": "raminbakhtiyari/digit-recognizer-cnn-with-tunined-hyperparameters", "kernel_id": "17182911"}, {"ref": "ikarosalpha/digit-recognizer-rdx710", "kernel_id": "17085341"}, {"ref": "sayfhussain/handwritten-digit-recognition-using-decision-trees", "kernel_id": "17585785"}, {"ref": "fedesoriano/the-convolutional-tsetlin-machine-0-99342", "kernel_id": "17471537"}, {"ref": "pranjalchatterjee/digit-recognizer-submission", "kernel_id": "17799527"}, {"ref": "kudasovdmitriy/numbers-rec-by-torch", "kernel_id": "17558566"}, {"ref": "kapilposwal/mnist-cnn", "kernel_id": "17396442"}, {"ref": "atasaygin/digit-recognition-using-cnn-acc-0-991", "kernel_id": "17089464"}, {"ref": "fatmazohrabensalem/semisup-mlc", "kernel_id": "17250908"}, {"ref": "muhammadzubairkhan92/mnist-top-5-using-cnn-accuracy-0-997", "kernel_id": "17110661"}, {"ref": "rhul007/digit-recognizer-using-knn-beginners", "kernel_id": "17324347"}, {"ref": "carlosparaciari/nearest-neighbors-classifiers", "kernel_id": "17822695"}, {"ref": "ayoubchaoui/digit-recognizer-dimensionality-reduction", "kernel_id": "17164844"}, {"ref": "xmj7777/mnist-predictions", "kernel_id": "17144817"}, {"ref": "labeebalam/labeeb-alam-digit-recogniser", "kernel_id": "17441916"}, {"ref": "labeebalam/labeeb-alam-digit-recogniser-1", "kernel_id": "17292377"}, {"ref": "purvitsharma/digit-recognizer-pytorch-lstm-acc-0-99", "kernel_id": "17349352"}, {"ref": "santosh1974/data-aug-cnn", "kernel_id": "17782694"}, {"ref": "santosh1974/digit-classification-using-deep-learning-ann", "kernel_id": "17017959"}, {"ref": "santosh1974/digit-recognizer-using-cnn", "kernel_id": "17168522"}, {"ref": "aaronchen0316/cnn-but-nothing-crazy", "kernel_id": "17451846"}, {"ref": "santhoshkakarla/notebookf6b34615f9", "kernel_id": "17683257"}, {"ref": "santhoshkakarla/notebookd75829b0cc", "kernel_id": "17688783"}, {"ref": "anshalsingh/digit-recognizition-cnn", "kernel_id": "17141558"}, {"ref": "rishabhkesarwanii/notebookd133e87212", "kernel_id": "17717508"}, {"ref": "jordipuigrabat/learn-ml-2", "kernel_id": "17969821"}, {"ref": "anubhav202/digit-prediction", "kernel_id": "17330511"}, {"ref": "andreasloeffler/digit-recognizer-sectry", "kernel_id": "17949778"}, {"ref": "andreasloeffler/digit-recognizer-usingconv2d", "kernel_id": "17961685"}, {"ref": "ashwinramachandran/digitclassifier", "kernel_id": "17010256"}, {"ref": "alampalsingh/digit-recognizer-with-keras", "kernel_id": "17594085"}, {"ref": "aviral23/mnist-digit-recognizer-cnn-99-21", "kernel_id": "17629981"}, {"ref": "yaquijumaramos/digit-recognizer", "kernel_id": "17155215"}, {"ref": "trulsbendiktjemsland/aip-assignment-1-cnn-mnist", "kernel_id": "17112564"}, {"ref": "sushmadewangan/notebookd2194aaa42", "kernel_id": "17294074"}, {"ref": "maherdissem/digits-recognition-using-cnn-98-accuracy", "kernel_id": "17134148"}, {"ref": "dariyakharytonova/notebooka82627b8f9", "kernel_id": "17079596"}, {"ref": "ishitasarin/digit-recognizer", "kernel_id": "17684227"}, {"ref": "mysarahmadbhat/types-of-transformations-for-better-distribution", "kernel_id": "17423661"}, {"ref": "reddykishore/mnist", "kernel_id": "17747968"}, {"ref": "ohhyunah/notebook8a4087a1dc", "kernel_id": "17413078"}, {"ref": "vaishali99sharma/mnist-digit-recognizer", "kernel_id": "17725870"}, {"ref": "pkang0831/extra-tree-classifier-0-999-train-0-963-test", "kernel_id": "17921861"}, {"ref": "mohwali/introduction-to-nn-optimization-keras", "kernel_id": "17551673"}, {"ref": "elshadai/perceptron-handwritten", "kernel_id": "17445825"}, {"ref": "elshadai/svc-handwritten", "kernel_id": "17554248"}, {"ref": "osiasdfarias/digit-recognizer-dataset-mnist", "kernel_id": "17320279"}, {"ref": "adamjanowski/k-srednie-mnist", "kernel_id": "17585593"}, {"ref": "rohitbaney/mist-digit-classification-99-6-top-7", "kernel_id": "17511971"}, {"ref": "burakerdoan/deep-neural-network-keras-way", "kernel_id": "17361407"}, {"ref": "burakerdoan/digitrecognizer-mysample", "kernel_id": "17361032"}, {"ref": "anmolsharma00002/digit-recognition-cnn", "kernel_id": "17252127"}, {"ref": "georgiterziev/notebooke8108ef20d", "kernel_id": "17783212"}, {"ref": "richardsonsouza/digit-recognizer-cnn", "kernel_id": "17363305"}, {"ref": "richardsonsouza/digit-recognizer-mlp", "kernel_id": "17334851"}, {"ref": "davilopesribeiro/cnn-no-uso-de-reconhecimento-de-escrita-manual", "kernel_id": "17236436"}, {"ref": "harmonialeoleo/keras-2-3-1-resnet-50-chinese-notes", "kernel_id": "17349889"}, {"ref": "harmonialeoleo/cnn-for-mnist-chinese-notes", "kernel_id": "17391097"}, {"ref": "alekseygustov/digit-recognizer-using-tensorflow-keras", "kernel_id": "17040849"}, {"ref": "jrpark3797/house-prices-titanic-automl", "kernel_id": "17058230"}, {"ref": "nohrud/simplest-cnn-in-a-simple-way-for-digit-recognizer", "kernel_id": "17001548"}, {"ref": "nohrud/simple-cnn-models-for-mnist-with-tensorflow-keras", "kernel_id": "17914122"}, {"ref": "carmensirena/begginers-guide-keras-cnn", "kernel_id": "17251050"}, {"ref": "chang23/digit-recognizer", "kernel_id": "17065044"}, {"ref": "oleksandrlendiel/simple-nn", "kernel_id": "17289658"}, {"ref": "minhhngchong/hand-writing", "kernel_id": "17862039"}, {"ref": "rijudasgupta/decision-tree-example", "kernel_id": "17692509"}, {"ref": "felipehbastos/topii-2020-2-digitrecognizer-cnn", "kernel_id": "17251863"}, {"ref": "gabrielbarrosouea/digit-recognizer-notebook", "kernel_id": "17251860"}, {"ref": "marcosguibson/cnn-simples-com-keras-guibson", "kernel_id": "17358235"}, {"ref": "diegomenezeslopes/reconhecimento-de-d-gitos", "kernel_id": "17354332"}, {"ref": "evandrofilho/cnn-simples-com-keras-para-iniciantes-tarefa", "kernel_id": "17252591"}, {"ref": "pinkaxe/pytorch-cnn-digit-recognizer", "kernel_id": "17300933"}, {"ref": "vitorsimesazevedo/cnn-simples-com-keras-para-iniciantes", "kernel_id": "17362387"}, {"ref": "parthlawania/handwritten-digit-recognization-cnn-acc-98-7", "kernel_id": "17060563"}, {"ref": "nicksocalheiros/cnn-simples-com-keras-para-iniciantes-nickso", "kernel_id": "17361133"}, {"ref": "noritomowatanabe/chainer-mnistclassifier-base", "kernel_id": "17089601"}, {"ref": "theblazingone/knn-implementation", "kernel_id": "17707866"}, {"ref": "drishtiawasthi/notebook000a8e3cf4", "kernel_id": "17719075"}, {"ref": "eggkimkr/digit-recognizer-svc", "kernel_id": "17806334"}, {"ref": "marvengers/digit-recognizer-model-6", "kernel_id": "17891560"}, {"ref": "johnsonwuu/cnn-mnist", "kernel_id": "17569714"}, {"ref": "markjibrilmononutu/mnist-database-perceptron-mark", "kernel_id": "17491967"}, {"ref": "markjibrilmononutu/mnist-database-svm-mark", "kernel_id": "17569955"}, {"ref": "markjibrilmononutu/mnist-database-cnn-mark", "kernel_id": "17649242"}, {"ref": "venisatewu/handwritten-digits-recognition-random-forest", "kernel_id": "17449735"}, {"ref": "elshacgr/cnn-handwritten", "kernel_id": "17661604"}, {"ref": "markosthabit/digit-recognizer-using-numpy", "kernel_id": "17289578"}, {"ref": "masturaomar/mlp-mnist-testing-mastura", "kernel_id": "17303099"}, {"ref": "karlafelix/mlp-simples-com-keras-para-iniciantes", "kernel_id": "17363988"}, {"ref": "giancpv/cnn-simples-com-keras-para-iniciantes", "kernel_id": "17388300"}, {"ref": "nfleng16/mlp-simples-com-keras-para-iniciantes", "kernel_id": "17363629"}, {"ref": "suvinkollabathula/mnist-cnn-suvin-raj", "kernel_id": "17709924"}, {"ref": "timeisenhardt/mnist-2-daten-erkunden", "kernel_id": "17836050"}, {"ref": "lokeshgautham/mnist-attempt", "kernel_id": "17511200"}, {"ref": "kmishmael/mnist-digit-recognizer", "kernel_id": "17628358"}, {"ref": "m3chd09/digit-recognizer", "kernel_id": "17887653"}, {"ref": "ben519/deep-neural-network-from-scratch", "kernel_id": "18751748"}, {"ref": "lilkaskitc/mnist-basic-neural-networks", "kernel_id": "18757253"}, {"ref": "lilkaskitc/mnist-convolution-neural-networks", "kernel_id": "18775979"}, {"ref": "guillaumes/sklearn-ensembling-keras-cnn", "kernel_id": "18427064"}, {"ref": "amitg0161/digit-recognizer-with-keras", "kernel_id": "18037616"}, {"ref": "amitg0161/mnist-with-mlcp-and-hyperparameter-tuning-98-acc", "kernel_id": "18126512"}, {"ref": "snowynguyen/digit-recognizer", "kernel_id": "18477108"}, {"ref": "skiplik/digit-recognition-with-a-deep-neural-network", "kernel_id": "18735912"}, {"ref": "zyper26/mnist-svm-xgboost", "kernel_id": "18342992"}, {"ref": "zyper26/mnist-digit-recognition-cnn", "kernel_id": "18374802"}, {"ref": "zizonpingu/mnist-for-novice-1-deep-learning-from-scratch-1", "kernel_id": "18762482"}, {"ref": "harveydeng/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "18649383"}, {"ref": "darkwingduck1987/mnist-with-cnn", "kernel_id": "18788363"}, {"ref": "prabhat12/digit-recog", "kernel_id": "18458294"}, {"ref": "fanbyprinciple/simple-cnn-with-tensorboard", "kernel_id": "18172298"}, {"ref": "kooaslansefat/evidential-deep-learning-and-reliability", "kernel_id": "18921936"}, {"ref": "ashrafr/simple-mnist-cnn-using-tensorflow", "kernel_id": "18781375"}, {"ref": "ivoruaro/mnist-xgboost-r", "kernel_id": "18763289"}, {"ref": "paulofilho/mlp-simples-com-keras-para-iniciantes", "kernel_id": "18434727"}, {"ref": "mlevine/digit-recognizer-random-classifier", "kernel_id": "18381753"}, {"ref": "mlevine/digit-recognizer-dense-classifier", "kernel_id": "18382201"}, {"ref": "mlevine/digit-recognizer-cnn-classifier", "kernel_id": "18382509"}, {"ref": "pranshulrs/digit-recognizer-using-cnn-97-percent-accuracy", "kernel_id": "18768705"}, {"ref": "hongpeiyi/tackle-mnist-dataset-with-pytorch-and-fastai", "kernel_id": "18892803"}, {"ref": "devishu14/how-yann-lecunn-implemented-cnn", "kernel_id": "18595155"}, {"ref": "achyutsaxena/digit-recognizer-using-skip-connection", "kernel_id": "18377131"}, {"ref": "derrelldsouza/digit-recognizer-dct-pca-ann-98-accuracy", "kernel_id": "18794973"}, {"ref": "crazyhedgehog/mnist-version-1", "kernel_id": "18743995"}, {"ref": "stpeteishii/vertical-2-digit-mnist-conv2d", "kernel_id": "18435579"}, {"ref": "stpeteishii/horizontal-3-digit-mnist-conv2d", "kernel_id": "18456125"}, {"ref": "stpeteishii/mnist-lgbm-with-optuna-tuning", "kernel_id": "18107209"}, {"ref": "stpeteishii/mnist-conv2d-datagen", "kernel_id": "18758079"}, {"ref": "biyani/resnet-digitrecognizer-pytorch", "kernel_id": "18930822"}, {"ref": "enesbayturk/digitrecognizer", "kernel_id": "18986224"}, {"ref": "uriyaba/digit-recognizer", "kernel_id": "18971487"}, {"ref": "csaraogi15/digit-recognizer-mlp-classifier", "kernel_id": "18227658"}, {"ref": "tu3f1718036/digit-recognizer", "kernel_id": "18056399"}, {"ref": "r17v1hasan/mnist-digit-classification", "kernel_id": "18470340"}, {"ref": "sergeykubarev/mnist-digits-with-cnn", "kernel_id": "18784464"}, {"ref": "zhzhzh0925/simple-dnn-for-digit-recognizer", "kernel_id": "18992317"}, {"ref": "ananyapam7/cnn-from-scratch-beats-transfer-learning-on-vgg16", "kernel_id": "18008571"}, {"ref": "ahsen1330/autoencoders-and-cnn-classifier-on-mnist-images", "kernel_id": "18602749"}, {"ref": "meghal17/digit-recognition-using-k-fold-cross-validation", "kernel_id": "18842494"}, {"ref": "trungle98hn/cnn-with-pytorch-99-99-accuracy", "kernel_id": "18481572"}, {"ref": "nehakumar31/digitrecognizer-cnn-augmentation", "kernel_id": "18243428"}, {"ref": "machiavelli81/minst-digit-recognizer-resnet18", "kernel_id": "18907580"}, {"ref": "yutaroshimizu/neural-networks-implementation-from-scratch", "kernel_id": "18395881"}, {"ref": "zzdaodanzi/digit-recognizer-cnn", "kernel_id": "18210859"}, {"ref": "ridhijhamb/digit-recognizer-cnn-image-classification", "kernel_id": "18649366"}, {"ref": "vaasudevans/augmentation-as-a-layer-in-cnn-model", "kernel_id": "18466952"}, {"ref": "falconcode/digit-recognizer-tflite-micro", "kernel_id": "18649269"}, {"ref": "patrickb1912/simplest-digit-recognizer-knn", "kernel_id": "18967724"}, {"ref": "vishalkundar/ann-builtfromscratch", "kernel_id": "18438253"}, {"ref": "ahmedsheded/digit-recognizer", "kernel_id": "18483373"}, {"ref": "thatsme123/digit-recogniser-mlp-classifier-for-beginners", "kernel_id": "18131450"}, {"ref": "gaurav3435/cnn-digit-recognizer", "kernel_id": "18959896"}, {"ref": "mansisaxena/pca-and-svm-kernels", "kernel_id": "18787270"}, {"ref": "urayukitaka/bayesian-optimization-with-gpyopt", "kernel_id": "18984471"}, {"ref": "rochieg/mnist-lenet-keras", "kernel_id": "18575213"}, {"ref": "davidanimaddo/recognize-digits-with-tensorflow-cnn", "kernel_id": "18672863"}, {"ref": "ahmed121ashraf131/mnist-simple-cnn-knn-accuracy-100-top-1", "kernel_id": "18665924"}, {"ref": "dongdori/arcface-versus-cross-entropy-better-embeddings", "kernel_id": "18216872"}, {"ref": "bextuychiev/every-pandas-function-to-manipulate-time-series", "kernel_id": "18466860"}, {"ref": "bextuychiev/advanced-time-series-analysis-decomposition", "kernel_id": "18552057"}, {"ref": "bextuychiev/how-to-detect-white-noise-and-random-walks-in-ts", "kernel_id": "18616439"}, {"ref": "bextuychiev/no-bs-guide-to-hyperparameter-tuning-with-optuna", "kernel_id": "18951360"}, {"ref": "ajaypalsinghlo/digit-recognizer", "kernel_id": "18029896"}, {"ref": "lasindudemel/digit-recognizer-cnn", "kernel_id": "18437859"}, {"ref": "dipabalihalder/pca-mnist-stp2021", "kernel_id": "18043075"}, {"ref": "feritebrargrler/mnist-digit-recognition", "kernel_id": "18641575"}, {"ref": "dipesh8/digit-recognizer", "kernel_id": "18845673"}, {"ref": "tejas2000/mnist", "kernel_id": "18734708"}, {"ref": "abhimanyu314/mnist-cnn", "kernel_id": "18394847"}, {"ref": "denchai/digit-recognizer-resnet34-load-png", "kernel_id": "18516205"}, {"ref": "denchai/digit-recognizer-resnet34", "kernel_id": "18511045"}, {"ref": "nikhilthakur2311/mnist-digit-classifier", "kernel_id": "18451967"}, {"ref": "swarajpande/cnn-without-using-data-augmentation", "kernel_id": "18995728"}, {"ref": "mdrakibuzzaman/digit-recognizer", "kernel_id": "18905714"}, {"ref": "isaaclopez/digit-recognizer-with-cnn", "kernel_id": "18494675"}, {"ref": "mohamedzayton/digit-cnn", "kernel_id": "18784272"}, {"ref": "rajpatel16/digit-recognizer-using-cnn", "kernel_id": "18422502"}, {"ref": "raymondlo84/mnist-with-openvino-and-tensorflow-on-kaggle", "kernel_id": "18538105"}, {"ref": "mjain12/predicting-digits-using-cnn", "kernel_id": "18286309"}, {"ref": "iravad/digit-recognizer-tensorflow", "kernel_id": "18843631"}, {"ref": "heejunyoon/basic-cnn-with-gradcam", "kernel_id": "18839284"}, {"ref": "prashanthviswanatham/digit-recognizer-v3-0", "kernel_id": "18376102"}, {"ref": "prashanthviswanatham/prashanth-digit", "kernel_id": "18644328"}, {"ref": "prashanthviswanatham/kaggle-digit-recognizer-my-best-model-cnn-999", "kernel_id": "18426791"}, {"ref": "prashanthviswanatham/digit-recognizer-prasshanth", "kernel_id": "18942371"}, {"ref": "ankitbhagasra/digit-recognizer-simple-code", "kernel_id": "18228364"}, {"ref": "katuniq/cnn-ver1", "kernel_id": "18752947"}, {"ref": "vivekpat/digitrecognizer", "kernel_id": "18423899"}, {"ref": "iamsushantverma/pca-on-mnist", "kernel_id": "18843908"}, {"ref": "ubiratanfilho/digit-recognizer-with-cnns", "kernel_id": "18453332"}, {"ref": "sanketchavan5595/digit-recognizer", "kernel_id": "18482346"}, {"ref": "lmaddalena/digit-recognizer-cnn", "kernel_id": "18422089"}, {"ref": "rustamz/mnist-digit-recognition", "kernel_id": "18509071"}, {"ref": "kentoa/mnist-pytorch", "kernel_id": "18968671"}, {"ref": "paulmerceur/mnist-dataset", "kernel_id": "18822538"}, {"ref": "balasubramaniamv/cnn-based-digit-recognizer", "kernel_id": "18654370"}, {"ref": "bomaich/multi-digit-images-generate-mnist", "kernel_id": "18806520"}, {"ref": "nerthigabalakrishnan/digit-recognizer", "kernel_id": "18299623"}, {"ref": "agathiyanbragadeesh/mnist-convolutional-network", "kernel_id": "18584222"}, {"ref": "gudisesaichand/digit-recogniser-random-forest", "kernel_id": "18418832"}, {"ref": "gudisesaichand/digit-recogniser-prediction", "kernel_id": "18212571"}, {"ref": "matthewadamson/activity-classification-with-mhis-and-cnn", "kernel_id": "18880865"}, {"ref": "deewakarchakraborty/pytorchlitdigitclassifier", "kernel_id": "18568474"}, {"ref": "muhammetzahitaydn/cnn-hyperparameter-tuning", "kernel_id": "18918580"}, {"ref": "anvithaaravinda/knn-classifier-with-hyperparameter-tuning", "kernel_id": "18096569"}, {"ref": "anvithaaravinda/first-try-with-neural-networks", "kernel_id": "18012484"}, {"ref": "afan0918/mnist", "kernel_id": "18382743"}, {"ref": "leshabirukov/mnist-pytorch-1", "kernel_id": "18821338"}, {"ref": "yassinebelarbi/sonede01", "kernel_id": "18138132"}, {"ref": "arpitkesharwani/digit-recognizer", "kernel_id": "18597807"}, {"ref": "yeinsaristizabal/digit-recognizer-with-cnn-using-keras", "kernel_id": "18646266"}, {"ref": "atultyagi2000/mnist-digit-recognition-cnn-99", "kernel_id": "18243332"}, {"ref": "nizado/digit-identification-with-keras", "kernel_id": "18899411"}, {"ref": "adarshvishwakarma12/digit-recognizer", "kernel_id": "18001642"}, {"ref": "lucashohmann/simple-tensorflow-mnist-digits", "kernel_id": "18640904"}, {"ref": "sergeevalex/digit-recognizer", "kernel_id": "18406802"}, {"ref": "glitchr/760-to-800", "kernel_id": "18634473"}, {"ref": "atharvadumbre/mnist-cnn-99-val-acc", "kernel_id": "18531555"}, {"ref": "aryansharma2/notebook65b22f9d06", "kernel_id": "18139041"}, {"ref": "ihazun01/mlp-from-scratch-tf-v2-x-x", "kernel_id": "18283217"}, {"ref": "santhoshkakarla/notebook687ebd24e4", "kernel_id": "18204848"}, {"ref": "arminar/digit-recognizer", "kernel_id": "18331831"}, {"ref": "anantishvashist/digit-classifier", "kernel_id": "18349155"}, {"ref": "gimaoki/digitrecognizer-keras-with-grad-cam", "kernel_id": "18708840"}, {"ref": "frankngugi/digit-recognizer-project-new-to-ml", "kernel_id": "18403848"}, {"ref": "ashishkumar8529/digit-recognizer-using-cnn", "kernel_id": "18054113"}, {"ref": "saruhangngr/digit-recognizer-with-cnn-and-svm-98-accuracy", "kernel_id": "18400409"}, {"ref": "furkanuysl/digit-recognizer-cnn-99", "kernel_id": "18787127"}, {"ref": "geningzhen/digitrecognizer-with-lenet-cbam", "kernel_id": "18827604"}, {"ref": "jaredteoh/cnn-using-keras-api", "kernel_id": "18867855"}, {"ref": "caiofernandeslima/96-accuracymnist", "kernel_id": "18933780"}, {"ref": "bunnyistaken/cnn-model-99-accuracy-digit-recognizer", "kernel_id": "18292541"}, {"ref": "shikha1608/digit-recognizer-with-neural-network-90-accuracy", "kernel_id": "18372894"}, {"ref": "duckandcover/cnn-with-without-augmentation-0-99496-vs-0-99317", "kernel_id": "18417498"}, {"ref": "givkashi/tf-digit-recognizer-cnn-model-99", "kernel_id": "18717177"}, {"ref": "ivankontic/001-digit-recognizer", "kernel_id": "18724793"}, {"ref": "hariprabu/digit-recognizer-ann-96-accuracy", "kernel_id": "18723692"}, {"ref": "gabri4/digits-recognizer", "kernel_id": "18861175"}, {"ref": "tahadouaji/cnn-digit-recognizer", "kernel_id": "18161092"}, {"ref": "nohrud/from-scratch-challenge-mnist-without-frameworks", "kernel_id": "18754947"}, {"ref": "hayatomotegi/introduction-to-cnn-keras-0-997-top-6-study", "kernel_id": "18947999"}, {"ref": "tns870/notebook62e5349a9b", "kernel_id": "18120787"}, {"ref": "riokanaizumi/a-very-comprehensive-tutorial-nn-cnn", "kernel_id": "18567832"}, {"ref": "stephenwilsonboyd/dense-neural-network-scaling", "kernel_id": "18585807"}, {"ref": "rogerszzz/mnist", "kernel_id": "18651217"}, {"ref": "shub20/digit-recognizer-using-2d-cnn", "kernel_id": "18968817"}, {"ref": "advaitvagerwal/mnist-digit-recognizer-cnn", "kernel_id": "18555598"}, {"ref": "rajadv/neural-network-from-scratch-on-mnist-using-numpy", "kernel_id": "18679297"}, {"ref": "cavfiumella/digits-recognizer", "kernel_id": "18625663"}, {"ref": "boshrabesharat/digit-recognizer-nn", "kernel_id": "18783470"}, {"ref": "stanislavvasyl/digit-recognition-with-simple-cnn", "kernel_id": "18120837"}, {"ref": "pritampaulcrow/digit-recognition", "kernel_id": "18847629"}, {"ref": "yugalkishore/digit-recognition", "kernel_id": "18759220"}, {"ref": "madhumohanty/digit-recognizer-using-cnn", "kernel_id": "18778583"}, {"ref": "oleggayduk/test-filters", "kernel_id": "18409363"}, {"ref": "oleggayduk/digit-recognizer-compet2", "kernel_id": "18550941"}, {"ref": "idaidai/digit-recognizer", "kernel_id": "18048563"}, {"ref": "idaidai/0-996-top7-augmentation-resnet-mc-dropout", "kernel_id": "18487180"}, {"ref": "nikitakrasnikov/notebookc75158b951", "kernel_id": "18279030"}, {"ref": "adarshsaurabh/notebookebdcccce2e", "kernel_id": "18094031"}, {"ref": "hrdkcodes/mnist-object-character-recognition-model", "kernel_id": "18115094"}, {"ref": "imanmkhamis/mnist-dataset-digit-recognizer", "kernel_id": "18992984"}, {"ref": "imanmkhamis/mnist-pca-and-kmeans", "kernel_id": "18995030"}, {"ref": "naturalnature/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "18528321"}, {"ref": "umesh11/digit-recognizer", "kernel_id": "18016278"}, {"ref": "lavanyasakthivel/ml-major-may", "kernel_id": "18467485"}, {"ref": "ramsegaurav/mnist-dataset-with-tensorflow", "kernel_id": "18801705"}, {"ref": "ramsegaurav/mnist-with-conv2d", "kernel_id": "18860078"}, {"ref": "balajinagappan/pytroch-cnn", "kernel_id": "18674548"}, {"ref": "arpitagirl/digit-recognizer-notebook", "kernel_id": "18412435"}, {"ref": "srinivasprince/kaggle-digit-recognizer-my-best-model-cnn-999", "kernel_id": "18427092"}, {"ref": "luizricardo88/mlp-simples-com-keras-para-iniciantes-233a3d", "kernel_id": "18434698"}, {"ref": "jefmelo/mlp-simples-com-keras-para-iniciantes", "kernel_id": "18434637"}, {"ref": "boneacrabonjac/autoencoder-with-mnist", "kernel_id": "18860139"}, {"ref": "boneacrabonjac/vgg-like-cnn-99-acc", "kernel_id": "18804592"}, {"ref": "jaeyuyeh/digit-recognizer-with-keras-and-cnn", "kernel_id": "18626492"}, {"ref": "chansocheattieng/digit-recognition-with-cnn", "kernel_id": "18990193"}, {"ref": "arjunrkaushik/digit-recognizer", "kernel_id": "18799657"}, {"ref": "johnyokoyama/mnist-from-scratch", "kernel_id": "18883142"}, {"ref": "yosikristian/mnist", "kernel_id": "19310402"}, {"ref": "errearanhas/mnist-simple-cnn", "kernel_id": "19484834"}, {"ref": "mx41dx41/mnist-classifer", "kernel_id": "19114944"}, {"ref": "zizonpingu/mnist-for-novice-2-deep-learning-from-scratch-1", "kernel_id": "19407255"}, {"ref": "zizonpingu/mnist-for-novice-3-deep-learning-from-scratch-1", "kernel_id": "19741885"}, {"ref": "himalayaashish/digit-recognizer-0-98-lb", "kernel_id": "19944942"}, {"ref": "milanvarghese/classifying-handwritten-digits-using-dl", "kernel_id": "19497677"}, {"ref": "nikeshlama/cnn-mnist", "kernel_id": "19988234"}, {"ref": "dlarionov/mnist-spiking-neural-network", "kernel_id": "19240222"}, {"ref": "mahak13/occlusion-senstivity", "kernel_id": "19619489"}, {"ref": "wolfgangrannetbauer/digit-recognition-in-r", "kernel_id": "19736363"}, {"ref": "sumitkhajanchi/mnist-digit-recognizer-96", "kernel_id": "19472351"}, {"ref": "hongpeiyi/cnn-with-pytorch-and-fastai", "kernel_id": "19600894"}, {"ref": "rozamira/digit-blank", "kernel_id": "19926419"}, {"ref": "heartnoxill/digit-recog-cnn", "kernel_id": "19017974"}, {"ref": "burakozuesen/digit-recognizer", "kernel_id": "19909646"}, {"ref": "shaunkoon/mnist-digit-recogniser", "kernel_id": "19371863"}, {"ref": "tongkhangte/digit-recognizer", "kernel_id": "19873311"}, {"ref": "zikang/notebook52c0bcfb78", "kernel_id": "19868945"}, {"ref": "dliang7234/notebooka427241bcf", "kernel_id": "19468875"}, {"ref": "saisadhu/digit-recognizer-using-machine-learning", "kernel_id": "19988659"}, {"ref": "saisadhu/digit-recognizer-using-sklearn-machine-learning", "kernel_id": "19847061"}, {"ref": "mur1ok/digit-recognition", "kernel_id": "19099682"}, {"ref": "bcprescott/mnist-single-hidden-layer-activation-values", "kernel_id": "19478343"}, {"ref": "jacky72503/digit-recognizer-prediction-by-xgboost", "kernel_id": "19207514"}, {"ref": "playerz/digitrecognizer-svm", "kernel_id": "19569561"}, {"ref": "haikalardikatama/digit-recognizer", "kernel_id": "19014531"}, {"ref": "rohitganji13/digit-recognizer-cnn", "kernel_id": "19626243"}, {"ref": "anasbot/digit-recognizer", "kernel_id": "19897685"}, {"ref": "saileshnair/digit-recognizer", "kernel_id": "19271979"}, {"ref": "abdellah991/cnn-tensorflow-mnist-0-99807", "kernel_id": "19966294"}, {"ref": "miguelquiceno/digit-recognizer-cnn-data-augmentation", "kernel_id": "19223927"}, {"ref": "bextuychiev/25-pandas-functions-you-didn-t-know-existed", "kernel_id": "19078762"}, {"ref": "bextuychiev/7-coolest-packages-top-kagglers-are-using", "kernel_id": "19265054"}, {"ref": "joslucasbrandomontes/mnist-digitrecognizer-first-solution", "kernel_id": "19819523"}, {"ref": "joslucasbrandomontes/mnist-digitrecognizer-cnn-on-keras", "kernel_id": "19861570"}, {"ref": "dasinenisaideepthi/digit-recognition", "kernel_id": "19974934"}, {"ref": "arunkumar1809/digits-recognizer", "kernel_id": "19012140"}, {"ref": "karad1818/mnist", "kernel_id": "19461294"}, {"ref": "karad1818/dimensionality-reduction-using-pca", "kernel_id": "19939192"}, {"ref": "abdelsanea/notebook5bef66c118", "kernel_id": "19324451"}, {"ref": "abdelsanea/notebook65201471b0", "kernel_id": "19324538"}, {"ref": "abdelsanea/notebook99f0b7e867", "kernel_id": "19324223"}, {"ref": "pixeladed/digits-recognizer", "kernel_id": "19797779"}, {"ref": "shantanusoni/digit-recognizer", "kernel_id": "19940821"}, {"ref": "dineshpiyasamara/digit-recognizer-neural-network", "kernel_id": "19012597"}, {"ref": "ahmadkaleem/kaggle-digit-recognizer", "kernel_id": "19278103"}, {"ref": "iravad/digit-recognizer-with-cnn", "kernel_id": "19775394"}, {"ref": "abanobmorgan/digits-recognition-with-cnn-using-tensorflow", "kernel_id": "19430658"}, {"ref": "shunsukenishijima/cnn-for-beginners", "kernel_id": "19729502"}, {"ref": "saiabhitejachepuri/digit-04", "kernel_id": "19356896"}, {"ref": "anuranroy/pytorch-mnist", "kernel_id": "19546684"}, {"ref": "lordxerxes/digit-recognizer-97-7", "kernel_id": "19609606"}, {"ref": "mecha027ankitsingh/top-10-cnn-approach-can-indentif-all-angle-imag", "kernel_id": "19260301"}, {"ref": "heuiseunghyun/mnist-handwritten-digit-recognition", "kernel_id": "19016365"}, {"ref": "mhmdsyed/digital-handwriting-recognizer", "kernel_id": "19478081"}, {"ref": "msh2481/dense-mnist-2", "kernel_id": "19020769"}, {"ref": "astashiro/anomaly-detection-by-autoencoder-with-keras", "kernel_id": "19606446"}, {"ref": "asthamular/digits-recognition-using-ann-and-cnn", "kernel_id": "19462703"}, {"ref": "fedesoriano/qmnist-0-999-using-cnn-top-1", "kernel_id": "19020980"}, {"ref": "eksaskh/notebookef84059c96", "kernel_id": "19603607"}, {"ref": "aymanhassan121/digit-recognizer-using-linear-svm", "kernel_id": "19042340"}, {"ref": "iffishells/digitrecognizer", "kernel_id": "19469649"}, {"ref": "mrcruise/mnist-digits-classifier-using-cnn", "kernel_id": "19011310"}, {"ref": "sandipannag/digit-recogniser-using-pca-lr-model", "kernel_id": "19704834"}, {"ref": "yashbohra/digit-recognizer", "kernel_id": "19683673"}, {"ref": "jenilsavani/cnn-with-99-44-accuracy", "kernel_id": "19567958"}, {"ref": "erenicoz/cnn-with-digit-recognizer", "kernel_id": "19360852"}, {"ref": "guillermofantoni/handwriting-digit-recognizer-cnn", "kernel_id": "19979054"}, {"ref": "yavuzselimkaraman/digit-recognizer", "kernel_id": "19512597"}, {"ref": "yeonekim/mnist-densenet-xgboosting", "kernel_id": "19874537"}, {"ref": "berkayemre/digit-recognizer-with-simple-cnn", "kernel_id": "19984222"}, {"ref": "mlanangafkaar/mnist-digits-with-cnn-1d", "kernel_id": "19797355"}, {"ref": "tuhinkumardutta/digit-recognizer-nn-accuracy-97", "kernel_id": "19641881"}, {"ref": "vigneshbaalaji/osvkm-digit-recogniser-2d-cnn", "kernel_id": "19812519"}, {"ref": "i1see1you163com/using-resnet-for-mnist", "kernel_id": "19600923"}, {"ref": "matthewmaddock/mnist-with-neural-networks-from-scratch", "kernel_id": "19241922"}, {"ref": "k589k589/digit-recognizer-mandarin", "kernel_id": "19638328"}, {"ref": "arindam35/digit-recognizer-svm", "kernel_id": "19312945"}, {"ref": "yogeshwaranma/notebookbe6e3e0108", "kernel_id": "19467693"}, {"ref": "hareeshnayak/number-detector", "kernel_id": "19637296"}, {"ref": "garyyehyl/mnist-digits-simple-cnn-model", "kernel_id": "19346979"}, {"ref": "luckyjhariya/notebookff506da957", "kernel_id": "19066596"}, {"ref": "dhinakarswamy/digit-recogizer", "kernel_id": "19272070"}, {"ref": "jacobswindell/mnist-resnet9-pytorch", "kernel_id": "19455370"}, {"ref": "kalpikhamogha/mnist-with-tensorflow-keras", "kernel_id": "19230504"}, {"ref": "jjbennett/cnn-digit-classifier-using-tensorflow-and-keras", "kernel_id": "19833077"}, {"ref": "mohamedatef321/digit-recognizer-with-tensorflow", "kernel_id": "19943128"}, {"ref": "jlg17373/digit-recogniser", "kernel_id": "19022559"}, {"ref": "soumenksarker/autoencoder-denoising-image-mnist-cifar10", "kernel_id": "19934891"}, {"ref": "lildatascientist/multiclass-classification-from-scratch", "kernel_id": "19510228"}, {"ref": "lildatascientist/importance-of-scaling-data", "kernel_id": "19470135"}, {"ref": "lildatascientist/neural-network-from-scratch", "kernel_id": "19792433"}, {"ref": "maraneane/mlp-simples-com-keras-para-iniciantes", "kernel_id": "19192968"}, {"ref": "dacianpeng/digit-hello-world", "kernel_id": "19875064"}, {"ref": "hemasowjanya/digit-recognizer", "kernel_id": "19987792"}, {"ref": "endy3032/mnist-digit-recognizer", "kernel_id": "19308449"}, {"ref": "ijinjung/ijin-digit-recognizer", "kernel_id": "19638923"}, {"ref": "sewonshin/mnist-digit-recognizer-using-cnn", "kernel_id": "19642755"}, {"ref": "sewonshin/mnist-cnn-using-keras", "kernel_id": "19869004"}, {"ref": "enriquelimanas/mlp-simples-com-keras", "kernel_id": "19626876"}, {"ref": "enriquelimanas/simple-mlp-with-keras", "kernel_id": "19626878"}, {"ref": "henriquelimanas/mlp-simples-com-keras", "kernel_id": "19627431"}, {"ref": "henriquelimanas/simple-mlp-with-keras", "kernel_id": "19627441"}, {"ref": "yujeong16/bbabbiggo", "kernel_id": "19957901"}, {"ref": "scirpus/digitrecognizer-using-svc", "kernel_id": "20787945"}, {"ref": "ankittomar1/digit-mnist", "kernel_id": "20354520"}, {"ref": "art3mis/digit-recognition", "kernel_id": "20650911"}, {"ref": "aayushkubba/get-start-image-classification", "kernel_id": "20476753"}, {"ref": "aayushkubba/25-million-images-0-99757-mnist", "kernel_id": "20476865"}, {"ref": "aayushkubba/tensorflow-2-tutorial-get-started-in-deep-learning", "kernel_id": "20287046"}, {"ref": "aayushkubba/how-to-choose-cnn-architecture-mnist", "kernel_id": "20321331"}, {"ref": "smithsmith/minimum-distance-classifier", "kernel_id": "20844632"}, {"ref": "devwlad92/cnn-simples-com-keras-wladimir", "kernel_id": "20563616"}, {"ref": "kiftiyani/dr-rnn-pytorch", "kernel_id": "20984314"}, {"ref": "joey0201/pytorch-complete-training-template-tta-ranger", "kernel_id": "20263042"}, {"ref": "skiplik/finetuning-hyperparameters-in-deep-neural-network", "kernel_id": "20361765"}, {"ref": "faguiar/cnn-simples-com-keras-atividade-1-uea", "kernel_id": "20675117"}, {"ref": "ksarvakar/restricted-boltzmann-machines-and-pretraining", "kernel_id": "20901015"}, {"ref": "yamanizm/mnist-cnn-with-pytorch-iamdatamonkey", "kernel_id": "20132251"}, {"ref": "ahmedmohsin22/fork-of-mnist", "kernel_id": "20675371"}, {"ref": "levibessa/cnn-simplekeras-atv1", "kernel_id": "20563944"}, {"ref": "eneszvo/pytorch-tensorflow-pytorch-baseline-tutorial", "kernel_id": "20561084"}, {"ref": "farookfazni/digit-recognizer", "kernel_id": "20161073"}, {"ref": "hongpeiyi/build-resnet-with-pytorch", "kernel_id": "20011049"}, {"ref": "mrinalsourav87/thecuriouscaseofinvertedmnist", "kernel_id": "20612502"}, {"ref": "djagatiya/simple-cnn-for-digit-recognizer", "kernel_id": "20585539"}, {"ref": "lucifergd192/mnist-augmentation-cnn-tensorflow-0-995", "kernel_id": "20973959"}, {"ref": "yaumilsitta/digit-recognizer", "kernel_id": "20532034"}, {"ref": "bvldgit/digit-recognizer", "kernel_id": "20429761"}, {"ref": "mzhao8/mnist-test-mzhao", "kernel_id": "20306304"}, {"ref": "hhs1516/mnist-with-cnn-vit", "kernel_id": "20549576"}, {"ref": "haiur00/poutyne-mnist", "kernel_id": "20144769"}, {"ref": "muhammadayman/mnist-multilayer-perceptron", "kernel_id": "20674767"}, {"ref": "nilaychauhan/convert-digit-recognizer-mnist-to-tfrecord", "kernel_id": "20365194"}, {"ref": "alkautsarm/simple-digit-recognizer-using-cnn", "kernel_id": "20559849"}, {"ref": "omargamal064/digit-recognizer-with-cnn", "kernel_id": "20323471"}, {"ref": "arti1117/digit-recognizer", "kernel_id": "20781681"}, {"ref": "yashdeepsinghdahiya/sodalabs-mnist-with-keras-challenge", "kernel_id": "20658020"}, {"ref": "chinmaymaganur/25-million-images-0-99757-mnist", "kernel_id": "20198954"}, {"ref": "travad/digit-recognizer-cnn", "kernel_id": "20367694"}, {"ref": "patrickb1912/multiclass-classification-with-svms", "kernel_id": "20761838"}, {"ref": "mrud17/digit-classification-nn-basic", "kernel_id": "20588400"}, {"ref": "ahmedsheded/mnist-cnn", "kernel_id": "20221192"}, {"ref": "chethanbr86/digit-recognizer", "kernel_id": "20323357"}, {"ref": "campusx/notebook3afe31570f", "kernel_id": "20952652"}, {"ref": "ramkiran55devireddy/digit-recognizer-using-keras-and-matplotlib", "kernel_id": "20842319"}, {"ref": "arihantsingh/mnist-cnn-practice", "kernel_id": "20663303"}, {"ref": "hossamzaabl/digit-recognizer-keras", "kernel_id": "20447830"}, {"ref": "leeminhyung/mnist-dnn", "kernel_id": "20154383"}, {"ref": "zacharyluscher/long-short-term-memory-with-pytorch", "kernel_id": "20228825"}, {"ref": "lonnieqin/tf-df-mnist-classification", "kernel_id": "20419874"}, {"ref": "lonnieqin/catboost-mnist-classification", "kernel_id": "20402126"}, {"ref": "lonnieqin/digits-generation-with-wgan", "kernel_id": "20486334"}, {"ref": "lonnieqin/data-augmentation-with-kerascv", "kernel_id": "20287499"}, {"ref": "lonnieqin/digits-generation-with-gan", "kernel_id": "20628086"}, {"ref": "lonnieqin/digits-generation-with-dcgan", "kernel_id": "20629298"}, {"ref": "lonnieqin/digits-generation-with-vae", "kernel_id": "20637836"}, {"ref": "lonnieqin/digits-generation-with-auto-encoder", "kernel_id": "20633869"}, {"ref": "lonnieqin/mnist-regression", "kernel_id": "20645599"}, {"ref": "lonnieqin/mnist-classification-with-kerastuner-hypermodels", "kernel_id": "20970707"}, {"ref": "williamaffonso/atividade-1", "kernel_id": "20609984"}, {"ref": "morrisbundi/notebookdadca0e2a8", "kernel_id": "20685269"}, {"ref": "muhammedjaabir/digit-clf-using-svm-97", "kernel_id": "20215519"}, {"ref": "omneyaessamkamal/mnist-deep-neural-network-with-keras", "kernel_id": "20585832"}, {"ref": "mdtanviranjum/mnist-from-scratch", "kernel_id": "20399621"}, {"ref": "pauloigorms/cnn-simples-com-keras-para-iniciantes-paulo-i-m", "kernel_id": "20565101"}, {"ref": "vinayakshanawad/digit-recognizer-with-cnn-pooling-acc-98-867", "kernel_id": "20436440"}, {"ref": "asai04/verzeomainproj", "kernel_id": "20487167"}, {"ref": "muki2003/digit-recognizer", "kernel_id": "20890342"}, {"ref": "feritebrargrler/cnn-from-scratch-1-theory", "kernel_id": "20417918"}, {"ref": "mohamednabill7/digit-recognizer", "kernel_id": "20855887"}, {"ref": "khalidbenlyazid/degit-recognizer", "kernel_id": "20718753"}, {"ref": "saiki2001/mnist-cnn", "kernel_id": "20227511"}, {"ref": "shreyastaware/deep-neural-network-keras-way", "kernel_id": "20767271"}, {"ref": "jessycamoraes/cnn-simples-com-keras-para-iniciantes", "kernel_id": "20470165"}, {"ref": "netomap/number-classification-pytorch", "kernel_id": "20379743"}, {"ref": "bhavinmoriya/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "20144519"}, {"ref": "bhavinmoriya/convolutional-neural-network-cnn-tutorial", "kernel_id": "20724287"}, {"ref": "bhavinmoriya/25-million-images-0-99757-mnist", "kernel_id": "20562300"}, {"ref": "alyeasin/deep-convolutional-generative-adversarial-network", "kernel_id": "20239463"}, {"ref": "tracyporter/nmist-udemy-course", "kernel_id": "20369278"}, {"ref": "giseonkang/mnist-digit-recognizer", "kernel_id": "20025480"}, {"ref": "stuartsul/digit-recognizer", "kernel_id": "20706284"}, {"ref": "kowshirbitto/ann-vs-cnn-for-prediction", "kernel_id": "20266973"}, {"ref": "dariushbahrami/mnist-with-pytorch", "kernel_id": "20068930"}, {"ref": "patricktapajos/cnn-simples-com-keras-para-iniciantes", "kernel_id": "20470182"}, {"ref": "lelsonnascimento/cnn-simples-com-keras-para-iniciantes-lln-cid10", "kernel_id": "20470180"}, {"ref": "deepak915/99-accuracy-achieved-using-cnn", "kernel_id": "20338561"}, {"ref": "dilmaraferreira/cnn-simples-com-keras-para-iniciantes-dilmara", "kernel_id": "20586259"}, {"ref": "thanhdanh17/mnist-from-scratch", "kernel_id": "20524002"}, {"ref": "shoumanbaruashuvo/digit-cnn", "kernel_id": "20264737"}, {"ref": "ericacferreira/99-56-with-pytorch", "kernel_id": "20846146"}, {"ref": "akshaymanthekar/mnist-cnn", "kernel_id": "20367437"}, {"ref": "furieux/extremely-simple-digit-recognizer", "kernel_id": "20482624"}, {"ref": "riyanpahuja04/digit-recognizer-using-cnn-98", "kernel_id": "20158842"}, {"ref": "niteshranjansingh/digit-recognizer-without-using-tensorflow", "kernel_id": "20970829"}, {"ref": "ashishkapasiya/digit-recong-with-tensorflow-resnet50", "kernel_id": "20053860"}, {"ref": "lengochoanglam/mnist-from-scratch", "kernel_id": "20509117"}, {"ref": "nishantdhingra/mnist-cnn-with-pytorch", "kernel_id": "20536926"}, {"ref": "paulplanchon/cnn-mnist-data-augmentation-99-9", "kernel_id": "20918485"}, {"ref": "bmendes00/cnn-simples-com-keras-para-iniciantes", "kernel_id": "20470178"}, {"ref": "rosianebritodelima/cnn-simples-com-keras-para-iniciantes", "kernel_id": "20470172"}, {"ref": "cassiodepaula/cnn-simples-com-keras-para-iniciantes-cassio", "kernel_id": "20470208"}, {"ref": "saimaaakhan/digit-recognizer", "kernel_id": "20266533"}, {"ref": "luongduongminh/digit-recognizer-99", "kernel_id": "20928585"}, {"ref": "thalitaalves/cnn-simples-com-keras-para-iniciantes-thalita", "kernel_id": "20697024"}, {"ref": "yakuholiu/mnist09train", "kernel_id": "20389507"}, {"ref": "mazenramadan/digits-recognizer-with-cnn", "kernel_id": "20039530"}, {"ref": "pratinavseth/neural-networks-from-scratch-mnist", "kernel_id": "20846587"}, {"ref": "tammygusmao/cnn-simples-com-keras-para-iniciantes", "kernel_id": "20582817"}, {"ref": "akshayr009/digit-rec", "kernel_id": "20174128"}, {"ref": "akshayr009/tensorflow", "kernel_id": "20317719"}, {"ref": "felipeguim/cnn-simples-com-keras-para-iniciantes", "kernel_id": "20470170"}, {"ref": "tejassinghpatoi/mnist", "kernel_id": "20882129"}, {"ref": "farhanmalik371/mnist-attempt", "kernel_id": "20913189"}, {"ref": "danielmoreiradesousa/98-score-mnist", "kernel_id": "20290146"}, {"ref": "roihezkiyahu/digit-recognizer-using-cnn-and-data-augmentation", "kernel_id": "20995271"}, {"ref": "badar78/digits-recognizer-cnn", "kernel_id": "20847611"}, {"ref": "buiquangbao/competition-digit-recognizer-mnist", "kernel_id": "20631894"}, {"ref": "mishrashivani/cnn-model-with-padding-pooling-with-99-3-accuracy", "kernel_id": "20283740"}, {"ref": "nizado/digit-recognizer-using-auto-keras", "kernel_id": "20984195"}, {"ref": "tharunnayak14/digit-recognition-cnn-0-999-accuracy-49", "kernel_id": "20961380"}, {"ref": "bhd233/morphology-as-enhance-function-and-resnet-as-backb", "kernel_id": "20739063"}, {"ref": "sonyd4d/digit-recognition-using-cnn-tf", "kernel_id": "20982918"}, {"ref": "shichaoming/mxnet-for-mnist", "kernel_id": "20728739"}, {"ref": "dhananjaydewangan/digit-recognizer-cnn", "kernel_id": "20589174"}, {"ref": "anikamim/digit-recognizer", "kernel_id": "20281111"}, {"ref": "skferhankm/11810892-ferhan", "kernel_id": "20886100"}, {"ref": "sazidnur/digit-recognizer", "kernel_id": "20282324"}, {"ref": "elemento/digitrecognizer-1", "kernel_id": "20375137"}, {"ref": "elemento/digitrecognizer-2", "kernel_id": "20534579"}, {"ref": "mdemran312/digitrecognizer-ann-cnn", "kernel_id": "20264936"}, {"ref": "sonjabutler/cnn-on-mnist-data-with-keras", "kernel_id": "20091568"}, {"ref": "mhnaeem/digit-recognizer", "kernel_id": "20275873"}, {"ref": "adhishwar0597/digit-recognition-cnn", "kernel_id": "20604561"}, {"ref": "artemsolomko/digits-recognition-with-keras-cnn-and-dnn-on-tfv1", "kernel_id": "20291447"}, {"ref": "alisherzhubanyshev/keras-dense", "kernel_id": "20020767"}, {"ref": "zouhirmkns/pca-for-dimensionality-reduction", "kernel_id": "20976040"}, {"ref": "staeros/notebook5be5a56184", "kernel_id": "20752134"}, {"ref": "sahilmohsinshah/digit-recognition-by-nave-bayesian", "kernel_id": "20976734"}, {"ref": "hasnurjahan181352297/digit-recognizer-using-tensor-flow-and-keras", "kernel_id": "20253510"}, {"ref": "emreustundag/mnist-digit-classifier", "kernel_id": "20684434"}, {"ref": "dtduttra/cnn-simples-com-keras-para-iniciantes", "kernel_id": "20563560"}, {"ref": "movsisyanm/msxcn-multilabel-classification", "kernel_id": "20164631"}, {"ref": "arslangujjar/digit-recognizer-with-tensorflow-neural-network", "kernel_id": "20657918"}, {"ref": "leandrodacruzfarias/exerc-cio-1-cnn-simples-com-keras", "kernel_id": "20589383"}, {"ref": "mdazharulislam/digit-recognition-cnn-ann", "kernel_id": "20254710"}, {"ref": "arpitadaschaity/digitrecognizer2327", "kernel_id": "20262190"}, {"ref": "sumaiya66/digit-recognizer-sumaiya", "kernel_id": "20252398"}, {"ref": "ganeshishwarpatil/1digit-recognizer", "kernel_id": "20290875"}, {"ref": "rishabh222/digit-recognizer", "kernel_id": "20555746"}, {"ref": "mimrahman/digitrecognizer-ann-cnn-2292", "kernel_id": "20260453"}, {"ref": "rakhi181352416/digit-recognizer-using-keras-and-tensor-flow", "kernel_id": "20263367"}, {"ref": "faridtaghiyev/digit-recognition-convolutional-neural-networks", "kernel_id": "20945369"}, {"ref": "takeshun4418/01-digitrecognizer", "kernel_id": "20126964"}, {"ref": "amitchowdhury2475/digit-recognizer", "kernel_id": "20267652"}, {"ref": "lukebeck/buchkapitel8-digit-recognizer", "kernel_id": "20666855"}, {"ref": "kevinvanbecelaere/mnist-cnn-digit-classifier", "kernel_id": "20996521"}, {"ref": "nohrud/digit-recognizer-with-pytorch-for-beginners", "kernel_id": "20853946"}, {"ref": "nohrud/acc99-in-r-language-with-keras-deep-learning", "kernel_id": "20779821"}, {"ref": "hugolearn/digit-recognizer-practice", "kernel_id": "20447006"}, {"ref": "soumyasharma20/handwritten-digit-recognition-cnn-keras", "kernel_id": "20119647"}, {"ref": "alicewulim/digit-recognizer-2", "kernel_id": "20269808"}, {"ref": "eliasdemoura/notebook6e0765f49b", "kernel_id": "20860371"}, {"ref": "ippudkiippude/starter-mnist-digits-nn", "kernel_id": "20855878"}, {"ref": "mehmetsahingil/digit-recognizing-with-cnn-tutorial", "kernel_id": "20785617"}, {"ref": "ehdobcid20/cnn-simples-com-keras-para-iniciantes", "kernel_id": "20470184"}, {"ref": "wojciechbatruszewicz/digit-recognizer", "kernel_id": "20889552"}, {"ref": "balon94/pytorch-cnn-with-resnet-inspiration-0-99164", "kernel_id": "20816491"}, {"ref": "emrebor/digit-recognizer-mnist", "kernel_id": "20883162"}, {"ref": "prantapaul181352448/digit-recognizer", "kernel_id": "20267936"}, {"ref": "mertyiit/cnn-practice-digit-recognizer", "kernel_id": "20617878"}, {"ref": "ahmadarif17/mnist-prediction-using-cnn", "kernel_id": "20025435"}, {"ref": "mitishaagarwal/digit-recognizer-cnn", "kernel_id": "20467819"}, {"ref": "ramsegaurav/all-optimizer-from-scratch-with-animation", "kernel_id": "20938920"}, {"ref": "quangluu/digit-recognizer-with-tensorflow", "kernel_id": "20321883"}, {"ref": "abhipsrajsahoo/digit-classification-project", "kernel_id": "20628430"}, {"ref": "suchitravelusamy/mnist-digit-classifier-using-svm", "kernel_id": "20242181"}, {"ref": "mmilli/notebook7cf782bc47", "kernel_id": "20732180"}, {"ref": "lildatascientist/decision-tree-and-random-forest-from-scratch", "kernel_id": "20036909"}, {"ref": "bhindevishal/mnist-with-keras-99-5", "kernel_id": "20811051"}, {"ref": "lzfilms4/keras-99-25", "kernel_id": "20418686"}, {"ref": "takahiroyoshida012/cnn-tensorflow-keras-vs-randomforest-acc-99", "kernel_id": "20170140"}, {"ref": "takahiroyoshida012/efficientnetb7-baseline", "kernel_id": "20343341"}, {"ref": "vivekchundru/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "20917661"}, {"ref": "vmuzhichenko/mnist-cnn", "kernel_id": "20482051"}, {"ref": "ddrustamova/digitmnist-cnn", "kernel_id": "20303042"}, {"ref": "darkomedin/nnet-dt4", "kernel_id": "20180276"}, {"ref": "alwanwirawan/mnist-nn", "kernel_id": "20087211"}, {"ref": "sushmakumaria/verzeo-main-project", "kernel_id": "20710650"}, {"ref": "sushmakumaria/verzeo-main-project-ad4612", "kernel_id": "20710653"}, {"ref": "andreibakulin/first-attempt", "kernel_id": "20289047"}, {"ref": "anivesh01/digit-recognizer", "kernel_id": "20983905"}, {"ref": "ax76kk/fork-of-digits-demo", "kernel_id": "20560798"}, {"ref": "grakercharms/basic-digital-recognize", "kernel_id": "20613196"}, {"ref": "jacksonhellmers/digit-recognition", "kernel_id": "20678339"}, {"ref": "waizoongwong/notebook0d00ffcb92", "kernel_id": "20848768"}, {"ref": "nallurikavya/artificial-intelligence-august-minor-project", "kernel_id": "20910135"}, {"ref": "balasuthar/artificial-intelligence-august-minor-project", "kernel_id": "20912257"}, {"ref": "hassanrehmanmsds2021/mnist-naivebayes-from-scratch", "kernel_id": "20956676"}, {"ref": "stepanrepin/notebook8f0e9675fb", "kernel_id": "20967754"}, {"ref": "muhammadali21l7319/21l-7319-assignment-1", "kernel_id": "20971965"}, {"ref": "abhijeetptl5/mnist-metric-learning-siamese-networks", "kernel_id": "21070021"}, {"ref": "milkway/redes-neurais-cnn", "kernel_id": "21426713"}, {"ref": "milkway/redes-neurais", "kernel_id": "21372112"}, {"ref": "scirpus/gp-monster", "kernel_id": "21826798"}, {"ref": "rumasinha/understandingcnnarchitecturewithmnistdataset", "kernel_id": "21884877"}, {"ref": "fconcas/cnn-for-the-mnist-dataset", "kernel_id": "21021971"}, {"ref": "olgabelitskaya/digit-recognition-models-4", "kernel_id": "21648756"}, {"ref": "valou7/mnist-cnn-with-keras", "kernel_id": "21613872"}, {"ref": "bhushan3819/digit-recognizer", "kernel_id": "21280079"}, {"ref": "skiplik/cnn-for-digit-recognition-mnist", "kernel_id": "21958833"}, {"ref": "suneetsaini/beginner-s-digit-recognizer", "kernel_id": "21052731"}, {"ref": "vikasgoyal/mnist-digit-recognition", "kernel_id": "21026985"}, {"ref": "hevean110/mlp-simples-com-keras-para-iniciantes", "kernel_id": "21281290"}, {"ref": "rushi11/mnist-digit-recognizer", "kernel_id": "21566349"}, {"ref": "giovanadelucca/trabalho-1-deep-learning-p-s-ci-ncia-dos-dados", "kernel_id": "21899113"}, {"ref": "shenurisumanasekara/digit-recognizer", "kernel_id": "21042230"}, {"ref": "wenneton/mlp-simples-com-keras-para-iniciantes-marcos", "kernel_id": "21479623"}, {"ref": "andreamonique/mlp-simples-com-keras-para-iniciantes-c4a9f5", "kernel_id": "21281227"}, {"ref": "raqhea/digit-classification-with-a-linear-model-pytorch", "kernel_id": "21599370"}, {"ref": "dk2502/mnist-with-pytorch-fully-connected-network", "kernel_id": "21063081"}, {"ref": "mbmlearner/autoencoder-mnist", "kernel_id": "21745358"}, {"ref": "tuananh112/mnist-novice-s-approach-99-9-accuracy", "kernel_id": "21389418"}, {"ref": "stpeteishii/mnist-pytorch-linear-sample", "kernel_id": "21604221"}, {"ref": "stpeteishii/mnist-pytorch-lightning-sample", "kernel_id": "21606281"}, {"ref": "stpeteishii/mnist-from-pytorch-to-pytorch-lightning", "kernel_id": "21606504"}, {"ref": "stpeteishii/mnist-keras-auxiliary-classifier-gan-sample", "kernel_id": "21579791"}, {"ref": "stpeteishii/mnist-classify-monai-pytorch", "kernel_id": "21840294"}, {"ref": "stpeteishii/mnist-cnn-pytorch", "kernel_id": "21269258"}, {"ref": "cathayamin/mnist-prediction-with-keras-cnn", "kernel_id": "21962800"}, {"ref": "datauma/digit-recognizer-using-cnn", "kernel_id": "21989601"}, {"ref": "abhi2goku/mnist-compare-naive-bayes-decision-trees", "kernel_id": "21579027"}, {"ref": "rsizem2/mnist-simple-keras-models-w-gpu", "kernel_id": "21791600"}, {"ref": "mgerdas/first-attempt-at-neural-networks", "kernel_id": "21881595"}, {"ref": "moizkhan11/digitrecognizer-99-acc", "kernel_id": "21423632"}, {"ref": "ayushxx7/digit-recognizer-linear-models", "kernel_id": "21668180"}, {"ref": "lorddiablo74/mnist-keras-and-imagedatagenerator", "kernel_id": "21687333"}, {"ref": "sarthaksg/cnn-digit-recognizer", "kernel_id": "21691202"}, {"ref": "eliasgreen/lr-7-zhuk", "kernel_id": "21987117"}, {"ref": "ae4505571/notebook0a79ae4522", "kernel_id": "21717817"}, {"ref": "ae4505571/digit-recognizer", "kernel_id": "21617609"}, {"ref": "samsb94/digit-recognizer-using-svm-96-4-accuracy", "kernel_id": "21463862"}, {"ref": "ashkhagan/pytorch-digit-mnist", "kernel_id": "21866574"}, {"ref": "lukavaljin/cnn-digit-recognizer", "kernel_id": "21014133"}, {"ref": "luucasgb/mnist-simple-cnn", "kernel_id": "21281801"}, {"ref": "weilinc/mnist-chen", "kernel_id": "21731178"}, {"ref": "kalfirst/week2-empty", "kernel_id": "21570427"}, {"ref": "tom99763/disentangled-representation", "kernel_id": "21580606"}, {"ref": "dmitryzaykov/sklearn-pca-svc-0-98", "kernel_id": "21140609"}, {"ref": "mbasacokile/digit-recognizer-2", "kernel_id": "21370596"}, {"ref": "mustafacicek/mnist-cnn-data-augmentation", "kernel_id": "21903595"}, {"ref": "hummy7943/digitrecognitionnaivebayes", "kernel_id": "21121452"}, {"ref": "raulsena/variational-autoencoder-with-mnist", "kernel_id": "21857988"}, {"ref": "juancgonzalez/pytorch-rnns-and-lstms-explained-acc-0-99", "kernel_id": "21242626"}, {"ref": "lonnieqin/mnist-classification-with-autokeras", "kernel_id": "21819208"}, {"ref": "lincolnreiselias/mlp-op", "kernel_id": "21140470"}, {"ref": "ripudamannaidu/digit-recognizer-cnn-keras", "kernel_id": "21039193"}, {"ref": "mukeshmanral/pca-basic", "kernel_id": "21206209"}, {"ref": "simonedegasperis/digitrecognizer-0-995-acc", "kernel_id": "21744538"}, {"ref": "ransakaravihara/practice-auto-encoders-with-mnist", "kernel_id": "21299519"}, {"ref": "ransakaravihara/digit-recognizer-pytorch-cnn", "kernel_id": "21438336"}, {"ref": "ransakaravihara/torch-mnist", "kernel_id": "21133053"}, {"ref": "pcorrea/pcorrea-mlp-simples-com-keras-exercicio-01", "kernel_id": "21281291"}, {"ref": "neerajkaroshi/digit-recognizer-draft2", "kernel_id": "21594484"}, {"ref": "virjinfanesa/handwritten-digits-recognition-random-forest", "kernel_id": "21882360"}, {"ref": "virjinfanesa/letter-recognition-perceptron", "kernel_id": "21899870"}, {"ref": "virjinfanesa/handwritten-digits-recognition-perceptron", "kernel_id": "21901061"}, {"ref": "ohseokkim/let-s-understanding-cnn-model", "kernel_id": "21096598"}, {"ref": "ohseokkim/funny-cnn-layers-filter-pooling-activation", "kernel_id": "21081388"}, {"ref": "ohseokkim/gan-how-does-gan-work", "kernel_id": "21321683"}, {"ref": "ohseokkim/the-curse-of-dimensionality-dimension-reduction", "kernel_id": "21346087"}, {"ref": "klemersoncastro/trabalho-aula-01-mlp-com-keras-klemerson", "kernel_id": "21281513"}, {"ref": "andrewsantos/mlp-simples-com-keras-para-iniciantes", "kernel_id": "21281344"}, {"ref": "antimathmathclub/my-submission", "kernel_id": "21005790"}, {"ref": "rahuljoysoyal/digit-recognizer-using-mnist", "kernel_id": "21989630"}, {"ref": "almirnurm/0-999-score-qmnist-lenet5-improved", "kernel_id": "21147244"}, {"ref": "rahul228646/pca-mnist", "kernel_id": "21611096"}, {"ref": "ankitkalauni/beginner-understanding-on-dimension-reduction", "kernel_id": "21095658"}, {"ref": "ccaitlum/predict-digits-with-lenet5-plus-vgg16-99-29", "kernel_id": "21533683"}, {"ref": "enigmak/simple-digit-recognizer", "kernel_id": "21448089"}, {"ref": "artemsslepov/digit-prediction-by-randomforest", "kernel_id": "21801710"}, {"ref": "efekurdoglu/ann-using-pytorch", "kernel_id": "21327319"}, {"ref": "efekurdoglu/cnn-using-pytorch", "kernel_id": "21433604"}, {"ref": "efekurdoglu/logistic-regression-using-pytorch", "kernel_id": "21254810"}, {"ref": "vishvamurthy/mnist-digits-recognition-with-keras-98-accuracy", "kernel_id": "21113395"}, {"ref": "leonardocadasrocha/mlp-simples-keras-leonardo-ver1", "kernel_id": "21281430"}, {"ref": "danielleitesoares/mlp-simples-com-keras-p-iniciantes-c-pia", "kernel_id": "21350899"}, {"ref": "faridrizqis/digitrecognizer-cnn-98", "kernel_id": "21047556"}, {"ref": "faridrizqis/digitrecognize-nn-95", "kernel_id": "21006975"}, {"ref": "yvtsanlevy/mnsit-cnn-recognition", "kernel_id": "21779184"}, {"ref": "kobeerose/digit-recognizer-a-beginner-s-notebook", "kernel_id": "21065805"}, {"ref": "vikassharma12911/cnn-in-pytorch", "kernel_id": "21689597"}, {"ref": "jackwong33/digit-recognizer-using-cnn-99-6-test-accuracy", "kernel_id": "21268625"}, {"ref": "vardhansiramdasu/kaggle-digit-recognizer", "kernel_id": "21942733"}, {"ref": "tsiswriter/ykml-practice-1-1", "kernel_id": "21931305"}, {"ref": "zakharpetrov/mnist-digits-recognition-cnn-with-keras-tuner", "kernel_id": "21829294"}, {"ref": "jucicarlap/aula-1-mlp-simples-com-keras-para-iniciantes", "kernel_id": "21281329"}, {"ref": "thomasdubail/mnist-tuto-keras-cnn-generalize-99-5", "kernel_id": "21995859"}, {"ref": "nurullahyksel/digit-recognation-with-cnn", "kernel_id": "21152542"}, {"ref": "fmmdamasceno/trab-1-experimenta-es-com-o-mnist-com-keras", "kernel_id": "21452389"}, {"ref": "eberthfelipe/mlp-simples-com-keras-para-iniciantes", "kernel_id": "21281300"}, {"ref": "charlessantarosa/mlp-simples-com-keras-para-iniciantes", "kernel_id": "21281338"}, {"ref": "wendelsilva/cnn-keras-for-beginners", "kernel_id": "21362042"}, {"ref": "fedesoriano/qmnist-simple-cnn-accuracy-0-99917-top-1", "kernel_id": "21141973"}, {"ref": "officialsubhash/digit-recognizer-with-qmnist-and-cv2", "kernel_id": "21038424"}, {"ref": "ajiiscbanglore/digit-recognition-using-cnn", "kernel_id": "21259254"}, {"ref": "anirbansarkar823/mnist-digit-recognition-using-multi-l-perceptron", "kernel_id": "21644997"}, {"ref": "georgesaavedra/mnist-prediction-99-4-accuracy", "kernel_id": "21993960"}, {"ref": "drbeane/intro-to-neural-networks-mnist", "kernel_id": "21356842"}, {"ref": "drbeane/intro-to-convolutional-neural-networks-mnist", "kernel_id": "21358542"}, {"ref": "drbeane/mnist-submission-v02", "kernel_id": "21361009"}, {"ref": "drbeane/mnist-submission-v01", "kernel_id": "21360363"}, {"ref": "jamilistiaq/cnn-on-mnist", "kernel_id": "21448167"}, {"ref": "yasinsoylu123/digit-recognizer-cnn-keras", "kernel_id": "21270742"}, {"ref": "hoikinyu/digit-recognizer", "kernel_id": "21347426"}, {"ref": "alehandro35/neuralnetwork-from-scratch", "kernel_id": "21594017"}, {"ref": "pratikrout/neural-network-practice-project", "kernel_id": "21800073"}, {"ref": "florolimareisjunior/mlp-simples-com-keras-para-iniciantes", "kernel_id": "21456903"}, {"ref": "maisavidaltexeira/maisa-mlp-simples-com-keras-para-iniciantes", "kernel_id": "21281279"}, {"ref": "andrey23/digit-recognizer-using-a-naive-bayes", "kernel_id": "21290866"}, {"ref": "andrey23/random-forest-classifying-digits", "kernel_id": "21291677"}, {"ref": "shahyash27/digit-recognizer-tensorflow-cnn", "kernel_id": "21003853"}, {"ref": "profpiccione/mnist-neunet", "kernel_id": "21594161"}, {"ref": "gabedossantos/digit-recognizer-augmentation-0-9985", "kernel_id": "21297082"}, {"ref": "gabedossantos/the-ideal-cnn-and-predictions-0-995", "kernel_id": "21450137"}, {"ref": "cinthiachristina/cnn-simples-com-keras-para-iniciantes", "kernel_id": "21263037"}, {"ref": "manavgarg663/data-augmentation-and-cnn-in-digit-recognition", "kernel_id": "21579757"}, {"ref": "zhengkunzhang/keras-digit-recognizer", "kernel_id": "21644166"}, {"ref": "durukoak/iabd-tp2-partie-1", "kernel_id": "21680427"}, {"ref": "sandhyakrishnan02/mnsit-cnn-with-augmentation", "kernel_id": "21453630"}, {"ref": "mohamedelsrogy/digit-recognition-cnn-and-svm", "kernel_id": "21012771"}, {"ref": "kiernanmcguigan/digit-regognizer-notebook", "kernel_id": "21502654"}, {"ref": "konstantinkonov/digit-recognizer-how-random-forest-makes-decision", "kernel_id": "21098077"}, {"ref": "ania186/digit-r", "kernel_id": "21886798"}, {"ref": "shiromeow/digit-recognizer-with-deep-learning", "kernel_id": "21936597"}, {"ref": "meetvora090201/mnist-ensemble-cnns", "kernel_id": "21326228"}, {"ref": "konstantinsuloevjr/visualization-cnn-augumentation", "kernel_id": "21304203"}, {"ref": "duaraujo26/mlp-simples-com-keras-t1", "kernel_id": "21460570"}, {"ref": "imcr00z/how-cnn-works-feature-maps-visualization", "kernel_id": "21951675"}, {"ref": "paulasamanta33/mlp-simples-com-keras-para-iniciantes-paula", "kernel_id": "21415448"}, {"ref": "rajwinder2000/digit-recognizer", "kernel_id": "21942923"}, {"ref": "nohrud/deep-learning-with-sklearn-mlp-classifier", "kernel_id": "21036376"}, {"ref": "errorplay/digit-recognizer-multiple-classifying-algorithms", "kernel_id": "21612521"}, {"ref": "alexnikiporenko/kaggle-digit-recognizer-99-val-acc", "kernel_id": "21961287"}, {"ref": "oskarstachowski/digit-recognizer-skni-course", "kernel_id": "21881974"}, {"ref": "sandeepbelamagi/digital-recognizer-with-cnn", "kernel_id": "21487591"}, {"ref": "minhhngchong/cgan-on-mnist-dataset", "kernel_id": "21557904"}, {"ref": "vidushibhatia/1-digit-recognizer", "kernel_id": "21971001"}, {"ref": "jaipawar/digit-recognizer", "kernel_id": "21467591"}, {"ref": "omidghorbani79/mnist-data", "kernel_id": "21778914"}, {"ref": "ahmedabdelmonim/digit-recognizer-minist-data-set", "kernel_id": "21170263"}, {"ref": "shakshyathedetector/digit-recognizer", "kernel_id": "21271171"}, {"ref": "ramsegaurav/implementation-of-softmax-regression-from-scratch", "kernel_id": "21053759"}, {"ref": "agrawalarpit/basic-neural-network-cnn", "kernel_id": "21717755"}, {"ref": "mah101/kneighbors", "kernel_id": "21980071"}, {"ref": "kidmendes/experimenta-es-com-o-mnist-com-keras", "kernel_id": "21480825"}, {"ref": "heryck/mlp-simples-com-keras-para-iniciantes-heryck", "kernel_id": "21474562"}, {"ref": "renatomarqueslessa/mlp-simples-com-keras-para-iniciantes", "kernel_id": "21450093"}, {"ref": "pkmstr/digit-recognizer", "kernel_id": "21023608"}, {"ref": "szymonrosaniec/mnist-competition-cnn", "kernel_id": "21323660"}, {"ref": "sb01167719/sb-digit-recognizer", "kernel_id": "21004144"}, {"ref": "ferrenkalalo/handwritten-digits-perceptron-algorithms", "kernel_id": "21809634"}, {"ref": "ferrenkalalo/handwritten-digits-random-forest", "kernel_id": "21808655"}, {"ref": "septianorctumulo/digit-recognizer-septiano-tumulo-random-f-a", "kernel_id": "21886916"}, {"ref": "septianorctumulo/digit-recognizer-septiano-tumulo-perceptron-a", "kernel_id": "21899750"}, {"ref": "folkenmarcello/digit-recognizer-random-forest", "kernel_id": "21306374"}, {"ref": "calvincostanngalo/digits-recognition-with-random-forest", "kernel_id": "21910560"}, {"ref": "michelltene/handwritten-digit-recogniton-random-forest", "kernel_id": "21305982"}, {"ref": "rohiniselvaraj0107/cnn-digit-recognizer-with-1-0-accuracy", "kernel_id": "21299231"}, {"ref": "spiderkomik/digit-recogniser-using-pca-or-without", "kernel_id": "21500390"}, {"ref": "inv1ctus1/digit-recognizer", "kernel_id": "21911520"}, {"ref": "antoninabugayova/digit-recognizer-2021-much-better", "kernel_id": "21381392"}, {"ref": "antoninabugayova/digit-recognizer-2021-1", "kernel_id": "21321679"}, {"ref": "lllchak/digit-recognizer-cnn", "kernel_id": "21435864"}, {"ref": "sergeyshevelev/digit-recognizer", "kernel_id": "21104380"}, {"ref": "ridamahmood54/notebook2f2028bde0", "kernel_id": "21150973"}, {"ref": "slavavolkonenkov/deg-rec", "kernel_id": "21020745"}, {"ref": "byankakarolinee/rede-neural-cnn", "kernel_id": "21426783"}, {"ref": "maragarcagirn/digit-recognizer-i-mar-a", "kernel_id": "21710775"}, {"ref": "vandana12911/mnist-with-cnn-pytorch", "kernel_id": "21679939"}, {"ref": "vandana12911/digit-recognizer-using-pytorch", "kernel_id": "21498264"}, {"ref": "diegogonzlezlpez/cnn-with-keras", "kernel_id": "21735904"}, {"ref": "denizaytacc/beginner-digit-recognizer-with-lenet-architecture", "kernel_id": "21368283"}, {"ref": "svalbr00/red-convolucional-0-9944-acc", "kernel_id": "21732044"}, {"ref": "mokhnatkinkirill/digit-recogniser-with-cnn-keras", "kernel_id": "21825982"}, {"ref": "alexanderkaigorodov/notebook687ebd24e4", "kernel_id": "21335744"}, {"ref": "maxkovtun/cnn-digit-recognizer", "kernel_id": "21525708"}, {"ref": "wade1111/digit-recognizer", "kernel_id": "21880076"}, {"ref": "nikitatsyganyuk/notebook4518e9394e", "kernel_id": "21842178"}, {"ref": "aershov/ml2021-lab-1-digit-recognizer", "kernel_id": "21097741"}, {"ref": "grigorypetrov/digit-recognizer-with-svc", "kernel_id": "21638960"}, {"ref": "alinadovzhenko/notebook4ec39e8c1d", "kernel_id": "21151328"}, {"ref": "renatzemtsov/lab-1", "kernel_id": "21164784"}, {"ref": "veratumanova/lab2-t", "kernel_id": "21707701"}, {"ref": "kseniiaplatunova/notebookb26dac83e1", "kernel_id": "21181003"}, {"ref": "annabelyaeva/belyaeva-lab1", "kernel_id": "21183082"}, {"ref": "batonny/digit", "kernel_id": "21181022"}, {"ref": "maca11/digit-images-classification", "kernel_id": "21318390"}, {"ref": "cflr123/notebookcafc103280", "kernel_id": "21143478"}, {"ref": "saprykinalexander/digit", "kernel_id": "21737893"}, {"ref": "alexandrpanarin/digit-recognizer", "kernel_id": "21170267"}, {"ref": "nikitalukashov/labnotebook", "kernel_id": "21150324"}, {"ref": "vladislavsergeev/digit-recognizer", "kernel_id": "21180548"}, {"ref": "dmirtyenikeev/notebookbbaf65dac8", "kernel_id": "21164574"}, {"ref": "anastasiyachapurina/lab-1", "kernel_id": "21256766"}, {"ref": "alexanderbubnovman1/lab1-bubnov", "kernel_id": "21180568"}, {"ref": "polinamaltseva/lr-1-digit-recognizer", "kernel_id": "21181819"}, {"ref": "elwinner23/notebookfa97680501", "kernel_id": "21316164"}, {"ref": "elwinner23/mc-learn-lab1", "kernel_id": "21316401"}, {"ref": "java1999/notebook05c6b0cf85", "kernel_id": "21257517"}, {"ref": "przemyslawpietrzak/digit-recognizer-skni-course-pp", "kernel_id": "21945779"}, {"ref": "tomimotomasaya/chainer-mnistclassifier-base", "kernel_id": "21358870"}, {"ref": "israelrosaleslaguan/digit-recognizer-model-focus", "kernel_id": "21550245"}, {"ref": "israelrosaleslaguan/digit-recognizer-optimizations-focus", "kernel_id": "21460484"}, {"ref": "krist0phersmith/torching-some-cnn", "kernel_id": "21928181"}, {"ref": "georgiymozgunov/xgboost-on-trees", "kernel_id": "21967858"}, {"ref": "kazrico/week2", "kernel_id": "21751028"}, {"ref": "amogh2106/handwrittendigit-recognition", "kernel_id": "21655443"}, {"ref": "amogh2106/handwrittendigit-recognition-572276", "kernel_id": "21657472"}, {"ref": "cezarydymicki/notes", "kernel_id": "21886796"}, {"ref": "juliavassilenko/vassilenko-lab1", "kernel_id": "21936867"}, {"ref": "sachin/pytorch-crash-course-mnist", "kernel_id": "22904303"}, {"ref": "mchahhou/mnist", "kernel_id": "22789761"}, {"ref": "scirpus/skewy-results", "kernel_id": "22331615"}, {"ref": "scirpus/gptinyi", "kernel_id": "22841314"}, {"ref": "aggarwalrahul/ml-automl-frameworks", "kernel_id": "22009332"}, {"ref": "kyuriy/evaluation-metrics-for-multi-class-classification", "kernel_id": "22218589"}, {"ref": "devdgohil/digit-recognizer-cnn-99-3-acc", "kernel_id": "22708590"}, {"ref": "issactoast/torch-for-r-digit-recognizer-baseline", "kernel_id": "22194255"}, {"ref": "coldfir3/mnist-fastai-resnet", "kernel_id": "22245078"}, {"ref": "coldfir3/mnist-fastai-resnet50-train-inference-v2", "kernel_id": "22052054"}, {"ref": "jaderabbit/cnn-with-pytorch-for-mnist", "kernel_id": "22964578"}, {"ref": "diegoterras/equipe-g", "kernel_id": "22712633"}, {"ref": "suddharshan/digit-recognizer-ensemble-voting", "kernel_id": "22161338"}, {"ref": "rishabsingh/a-simple-keras-cnn-model-for-mnist", "kernel_id": "22439801"}, {"ref": "jrreda/simple-mlp-digit-recognizer-with-keras-97", "kernel_id": "22967240"}, {"ref": "bvarkoly/mnist-with-keras", "kernel_id": "22139709"}, {"ref": "phanttan/cnn-keras-99-accuracy", "kernel_id": "22127357"}, {"ref": "phanttan/reproducible-model", "kernel_id": "22254238"}, {"ref": "shlomiziskin/digit-recognizer-with-classic-ml-timing", "kernel_id": "22513551"}, {"ref": "tapliershiru/cgan-w-projection-disc-mnist-tensorflow-2-x", "kernel_id": "22906087"}, {"ref": "tapliershiru/conditional-gan-on-mnist-dataset-tensorflow-2-x", "kernel_id": "22887993"}, {"ref": "minfa1207/pytorch-mobilenetv1", "kernel_id": "22446405"}, {"ref": "lance13blaze/mnist-digit-recognizer-0-996-accuracy", "kernel_id": "22601967"}, {"ref": "jinde001/mnist-simple-keras-models-w-gpu-j1127", "kernel_id": "22348339"}, {"ref": "drcapa/digit-recognizer-shuffle-pixel", "kernel_id": "22859707"}, {"ref": "hinepo/transfer-learning-with-timm-models-and-pytorch", "kernel_id": "22368059"}, {"ref": "hinepo/pytorch-tutorial-for-image-classification", "kernel_id": "22317318"}, {"ref": "hinepo/ensemble-by-probabilities", "kernel_id": "22733250"}, {"ref": "nagasai524/hand-written-digit-recognition-using-mnist-dataset", "kernel_id": "22004970"}, {"ref": "samanemami/mnist-in-train-overall-performance", "kernel_id": "22871401"}, {"ref": "leo45890/mnist-with-keras-cnn-and-gpu", "kernel_id": "22834546"}, {"ref": "vislupus/gan-digit-recognizer", "kernel_id": "22303786"}, {"ref": "sarawaniolka/digit-recognizer-skni-course", "kernel_id": "22068345"}, {"ref": "reponislam/ann-from-scratch-with-2-hidden-layer-using-mnist", "kernel_id": "22300822"}, {"ref": "andaoai/variantional-autoencoders-vae", "kernel_id": "22014240"}, {"ref": "sytuannguyen/keras-convnets", "kernel_id": "22970115"}, {"ref": "mustafacicek/mnist-lenet-5-implementation-on-keras", "kernel_id": "22118576"}, {"ref": "muhammedjaabir/sequential-model-dropout-batch-norm-98", "kernel_id": "22440515"}, {"ref": "lucasneiva/equipe-g-rf", "kernel_id": "22729925"}, {"ref": "virjinfanesa/handwritten-digits-recognition-svm", "kernel_id": "22164020"}, {"ref": "ohseokkim/little-labeled-data-then-sgan-is-the-answer", "kernel_id": "22884705"}, {"ref": "manojkumars00/gans-tf-starting", "kernel_id": "22403582"}, {"ref": "araujogabriel/notebooka1fd5bbc2f", "kernel_id": "22075389"}, {"ref": "reubenlee/data-augmentation-cnn-99-4-accuracy", "kernel_id": "22768493"}, {"ref": "balajisrirajdu/digit-rego-tensorflow", "kernel_id": "22464683"}, {"ref": "leorrose/mnist-digit-recognition-bernoulli-naive-bayes", "kernel_id": "22188681"}, {"ref": "nithyasharma/imageclassifier-rfc", "kernel_id": "22415842"}, {"ref": "ankitkalauni/deep-learning-neural-networks-starter-pack", "kernel_id": "22633917"}, {"ref": "abanobmorgan/digital-recognition-using-nn", "kernel_id": "22153366"}, {"ref": "kgxiao/getting-started-with-neural-networks-keras", "kernel_id": "22742834"}, {"ref": "aryantuteja/digit-recognizer-deep-learning", "kernel_id": "22233799"}, {"ref": "nikhiltidke/mnist-digit-recognition-using-svm", "kernel_id": "22558849"}, {"ref": "benhursantana/notebookcdeb2c0c87", "kernel_id": "22077373"}, {"ref": "richez/digit-recognizer-cnn-keras-99", "kernel_id": "22642808"}, {"ref": "mdsaiful6854/1607003-two-hidden-ann-scratch-using-mnist-dataset", "kernel_id": "22377653"}, {"ref": "upinderkahlon28/digit-recognizer", "kernel_id": "22003780"}, {"ref": "rizkynindra/extraction-digit-recognizer", "kernel_id": "22205370"}, {"ref": "demydteslenko/mlpclassifier-0-969-score", "kernel_id": "22362788"}, {"ref": "roboroaster/digit-recognizer", "kernel_id": "22986173"}, {"ref": "zahragarshasbi/rbm-on-mnist", "kernel_id": "22903059"}, {"ref": "ridsonal/cnn-pytorch-callback", "kernel_id": "22296315"}, {"ref": "wyctorfogos/digit-recognizer", "kernel_id": "22776783"}, {"ref": "matanmizrachi/simplest-mnist-model-w-dimensionality-reduction", "kernel_id": "22681423"}, {"ref": "cmglonly/re-follow-cnn-classifiers-for-confusion-matrix", "kernel_id": "22343383"}, {"ref": "ayoubchaoui/algorithm-dimensional-reduction", "kernel_id": "22969244"}, {"ref": "sanchitpathak/digit-recognizer-using-cnn", "kernel_id": "22558489"}, {"ref": "alexsmolyakov/simple-cnn-99-2-accuracy-on-validation", "kernel_id": "22180460"}, {"ref": "spameron/learning-cnn", "kernel_id": "22447831"}, {"ref": "seregabdx/notebookce60c7d027", "kernel_id": "22170481"}, {"ref": "ravikumarmn/digit-recognizer-svm", "kernel_id": "22411745"}, {"ref": "mysarahmadbhat/python-from-zero-to", "kernel_id": "22809589"}, {"ref": "dhyeydabhi/resnet50", "kernel_id": "22839137"}, {"ref": "goelyash/convolution-neural-network-with-99-4-accuracy", "kernel_id": "22577913"}, {"ref": "goelyash/mnist-training-set-torchvision", "kernel_id": "22536863"}, {"ref": "mario123475/fork-of-my-digit-recognizer", "kernel_id": "22008186"}, {"ref": "imcr00z/autoencoders", "kernel_id": "22736608"}, {"ref": "imcr00z/variational-autoencoder-mnist", "kernel_id": "22961148"}, {"ref": "imcr00z/catalyst-mnist-baseline", "kernel_id": "22536386"}, {"ref": "iliasabdouni/digit-recognizer-using-svm", "kernel_id": "22428431"}, {"ref": "rhythmcam/keras-basic-fashion-mnist-recognizer", "kernel_id": "22687505"}, {"ref": "rhythmcam/keras-basic-digit-recognizer", "kernel_id": "22679944"}, {"ref": "rhythmcam/matplotlib-color-basic-draw-digit", "kernel_id": "22666238"}, {"ref": "rhythmcam/cnn-basic-digit-mnist-0-99007", "kernel_id": "22794730"}, {"ref": "kokyongteo/digit-recognizer", "kernel_id": "22560252"}, {"ref": "philippstarzacher/exercise04", "kernel_id": "22613712"}, {"ref": "lry89757/mnist-naive-pytorch-only-by-numpy", "kernel_id": "22941848"}, {"ref": "mohamedlamgarraj/digits-classifer-lmgrj", "kernel_id": "22415997"}, {"ref": "black99ylunar/digit-recognize-image-model-predict", "kernel_id": "22717001"}, {"ref": "maxcohen31/simple-digit-recognizer", "kernel_id": "22613928"}, {"ref": "dientruongchi/mnist-from-scratch", "kernel_id": "22435908"}, {"ref": "himanshusirsat/cnn-99-09-accuracy-in-mnist", "kernel_id": "22969138"}, {"ref": "himanshusirsat/mnist-ann", "kernel_id": "22956430"}, {"ref": "ayushagarwal05/handwritten-number-detector", "kernel_id": "22833517"}, {"ref": "jearllyabputra/hw-digit-recognizer-perceptron", "kernel_id": "22227013"}, {"ref": "jearllyabputra/hw-digits-recognizer-random-forest", "kernel_id": "22227136"}, {"ref": "claudiorezytendean/handwritten-digits-recognition", "kernel_id": "22112243"}, {"ref": "juanpetertyuune/ass-22-handwritten-digit-recognition-svm", "kernel_id": "22141629"}, {"ref": "juanpetertyuune/ass-22-handwritten-digit-recognition-random-fore", "kernel_id": "22009500"}, {"ref": "juanpetertyuune/ass-22-handwritten-digit-recognition-perceptron", "kernel_id": "22009936"}, {"ref": "ferrenkalalo/handwritten-digits-svm", "kernel_id": "22064793"}, {"ref": "janicemonica/digits-recognition-perceptron", "kernel_id": "22167600"}, {"ref": "janicemonica/digits-recognition-svm", "kernel_id": "22177854"}, {"ref": "janicemonica/digits-recognition-random-forest", "kernel_id": "22178127"}, {"ref": "christabellakainama/digits-recognition-svm", "kernel_id": "22167347"}, {"ref": "christabellakainama/digits-recognition-random-forest", "kernel_id": "22167658"}, {"ref": "christabellakainama/digits-recognition-perceptron", "kernel_id": "22167539"}, {"ref": "rivaldoterok/digits-recognition-random-forest", "kernel_id": "22163299"}, {"ref": "rivaldoterok/digits-recognition-perceptron", "kernel_id": "22162734"}, {"ref": "rivaldoterok/digits-recognition-svm", "kernel_id": "22162950"}, {"ref": "septianorctumulo/digit-recognizer-septiano-tumulo-svm-a", "kernel_id": "22166669"}, {"ref": "folkenmarcello/digit-recognition-perceptron", "kernel_id": "22020721"}, {"ref": "folkenmarcello/digit-recognition-svm", "kernel_id": "22020453"}, {"ref": "maestropythagoras/handwritten-digits-recognition-svm", "kernel_id": "22164548"}, {"ref": "maestropythagoras/handwritten-digits-recognition-perceptron", "kernel_id": "22162883"}, {"ref": "maestropythagoras/handwritten-digits-recognition-random-forest", "kernel_id": "22160354"}, {"ref": "carolinelahengke/handwritten-digits-svm", "kernel_id": "22254765"}, {"ref": "carolinelahengke/handwritten-randomforest", "kernel_id": "22256210"}, {"ref": "carolinelahengke/handwritten-digits-perceptron-algorithms", "kernel_id": "22256125"}, {"ref": "vinivanisa/handwritten-random-forest", "kernel_id": "22186772"}, {"ref": "vinivanisa/handwritten-svm", "kernel_id": "22186630"}, {"ref": "vinivanisa/handwritten-perceptron", "kernel_id": "22186517"}, {"ref": "calvincostanngalo/digit-recognition-with-perceptron", "kernel_id": "22127077"}, {"ref": "calvincostanngalo/digit-recognition-with-svm", "kernel_id": "22126336"}, {"ref": "michelltene/handwritten-digit-recognizer-perceptron", "kernel_id": "22011851"}, {"ref": "jovanvrunturambi/digit-recognizer-svm", "kernel_id": "22244120"}, {"ref": "jovanvrunturambi/digits-recognizer-perceptron", "kernel_id": "22244261"}, {"ref": "jovanvrunturambi/digits-recognizer-random-forest", "kernel_id": "22244434"}, {"ref": "tesalonikawangania/handwritten-digits-svm-tw", "kernel_id": "22167029"}, {"ref": "tesalonikawangania/handwritten-digits-perceptron-tw", "kernel_id": "22166300"}, {"ref": "tesalonikawangania/handwritten-digits-random-forest-tw", "kernel_id": "22166611"}, {"ref": "keyziakumontoy/handwritten-digits-recognition-svm", "kernel_id": "22257198"}, {"ref": "keyziakumontoy/handwritten-digits-recognition-perceptron", "kernel_id": "22257464"}, {"ref": "keyziakumontoy/handwritten-digits-recognition-random-forest", "kernel_id": "22257632"}, {"ref": "esterrotuatampubolon/handwritten-digits-recognition-random-forest", "kernel_id": "22163454"}, {"ref": "esterrotuatampubolon/handwritten-digits-recognition-perceptron", "kernel_id": "22162962"}, {"ref": "esterrotuatampubolon/handwritten-digits-recognition-svm", "kernel_id": "22163710"}, {"ref": "saumilagrawal10/getting-started-with-neural-networks-keras", "kernel_id": "22789362"}, {"ref": "demakotajhosuaricky/digit-recognizer-perceptron-algorithm", "kernel_id": "22267571"}, {"ref": "demakotajhosuaricky/digit-recognizer-random-forest-algorithm", "kernel_id": "22267742"}, {"ref": "demakotajhosuaricky/digit-recognizer-svm-algorithm", "kernel_id": "22267881"}, {"ref": "gabrielathaniasela/handwritten-digits-recognition-p", "kernel_id": "22216169"}, {"ref": "gabrielathaniasela/hadwritten-digits-recognition-s", "kernel_id": "22226246"}, {"ref": "gabrielathaniasela/handwritten-digits-recognition-r-f", "kernel_id": "22226071"}, {"ref": "frangkywongkar/digit-recognition-svm", "kernel_id": "22257557"}, {"ref": "frangkywongkar/digit-recognition-perceptron", "kernel_id": "22257397"}, {"ref": "frangkywongkar/digit-recognition-random-forest", "kernel_id": "22257478"}, {"ref": "satwiksrivastava/using-a-cnn-for-mnist", "kernel_id": "22879065"}, {"ref": "sp12125/cnn-demo3", "kernel_id": "22633196"}, {"ref": "durgeshmaurya/mnist", "kernel_id": "22876256"}, {"ref": "southeslem/digit-recongnizer-taisumov", "kernel_id": "22169095"}, {"ref": "andrewlysanets/notebookd81a9539b5", "kernel_id": "22273298"}, {"ref": "shustikovvladislav/notebook94e3fcaef5", "kernel_id": "22938077"}, {"ref": "byankakarolinee/rede-neural-cnn-3", "kernel_id": "22076727"}, {"ref": "byankakarolinee/rede-neural-cnn-2", "kernel_id": "22076466"}, {"ref": "sumeetbohra/fine-tuned-knn", "kernel_id": "22879775"}, {"ref": "sumeetbohra/classic-ml", "kernel_id": "22878100"}, {"ref": "sumeetbohra/simple-random-forest", "kernel_id": "22881113"}, {"ref": "enzogg/digit-recognizer-ai-club", "kernel_id": "22731600"}, {"ref": "almahmudalmamun/cnn-activation-digit-recognizer", "kernel_id": "22742658"}, {"ref": "akhmadthalibarrifqi/cnn-digit-recognizer", "kernel_id": "22055229"}, {"ref": "ildarkhuzin/mnist", "kernel_id": "22802299"}, {"ref": "yldzeyyup/digital-recognizer-mnist", "kernel_id": "22430537"}, {"ref": "vladislavsemenyonok/notebook5ffe372c16", "kernel_id": "22601576"}, {"ref": "ivansibiryakov/lab1-sibiryakov-8305", "kernel_id": "22760812"}, {"ref": "shprit/digit-recogniser-svm", "kernel_id": "22385405"}, {"ref": "vinayakunde/digit-recognizer-using-cnn", "kernel_id": "22795265"}, {"ref": "turtlezxd/devpres", "kernel_id": "22136206"}, {"ref": "akshinguseinov/dgrczr", "kernel_id": "22109691"}, {"ref": "tkachevigor/notebookaab66d79f9", "kernel_id": "22914081"}, {"ref": "sharumaan/mnist-digits", "kernel_id": "22732422"}, {"ref": "lamnguynthanh/digit-lamnguyen-diveintodeeplearning", "kernel_id": "22807280"}, {"ref": "hsgo2000/notebook002b43d736", "kernel_id": "22599874"}, {"ref": "qtphan110522604/notebook-cnn", "kernel_id": "22553299"}, {"ref": "lovroselic/digitrecognizer-ls", "kernel_id": "22210753"}, {"ref": "samuelcortinhas/mnist-cnn-data-augmentation-99-6-accuracy", "kernel_id": "22214110"}, {"ref": "samuelcortinhas/mnist-simple-neural-network", "kernel_id": "22116852"}, {"ref": "automate9000/deeper-conv2d-tfds-callback-adamax-and-9975", "kernel_id": "22849218"}, {"ref": "rusalnabdullin18/notebookae0a5c8d69", "kernel_id": "22651681"}, {"ref": "michaloracki/digit-recognizer-skni-course", "kernel_id": "22060979"}, {"ref": "cattypkung/digit-recognizer-batch-size-2000-epoch-10", "kernel_id": "22055589"}, {"ref": "lvarosncheztrtola/ex4ml-dl", "kernel_id": "22747303"}, {"ref": "patricksto/mnist", "kernel_id": "22404806"}, {"ref": "justynacebrat/zadanie1", "kernel_id": "22048104"}, {"ref": "davidheiss/notebook587d687106", "kernel_id": "22862862"}, {"ref": "titichayajojo/notebook94e618147c", "kernel_id": "22841791"}, {"ref": "mateusliwka/digit-recognizer", "kernel_id": "22020483"}, {"ref": "eadavis/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "22091903"}, {"ref": "soloveve/telushkina-dr", "kernel_id": "22893153"}, {"ref": "polinadubatovka/digit-recognition", "kernel_id": "22751552"}, {"ref": "syntax3rr0r/noah-jaster-digit-recognition", "kernel_id": "22145453"}, {"ref": "njr1009/nannar-rubach-digit-recognition", "kernel_id": "22145628"}, {"ref": "shadyslither/ezra-nyberg-digit-recognition", "kernel_id": "22145624"}, {"ref": "snekss/carden-taylor-digit-recognition", "kernel_id": "22145627"}, {"ref": "wilmatuker/eldon-pindell-digit-recogition", "kernel_id": "22145642"}, {"ref": "cheesenacho007/mnist-with-keras-for-beginners-99457", "kernel_id": "22145685"}, {"ref": "trippwillis/tripp-willis-s-data-set", "kernel_id": "22145712"}, {"ref": "ronaldokainama/digit-recognition-with-perceptron", "kernel_id": "22175769"}, {"ref": "ronaldokainama/digit-recognition-with-svm", "kernel_id": "22175877"}, {"ref": "ronaldokainama/digit-recognizer-random-forest", "kernel_id": "22165795"}, {"ref": "fabianstiegler/digit-recognition-mlp", "kernel_id": "22544565"}, {"ref": "milenamiskevich/digit-recognizer", "kernel_id": "22446314"}, {"ref": "anastaciasskuron/handwritten-digits-recognition-perceptron", "kernel_id": "22242463"}, {"ref": "anastaciasskuron/handwritten-digits-recognition-random-forest", "kernel_id": "22241586"}, {"ref": "anastaciasskuron/handwritten-digits-recognition-svm", "kernel_id": "22242773"}, {"ref": "oguzhankapukaya/mnist-with-keras-for-beginners-99457", "kernel_id": "22606846"}, {"ref": "tayfurkatkat/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "22494390"}, {"ref": "mattimaginecosmos/mustafa-lab7-8", "kernel_id": "22268803"}, {"ref": "carlosgut/mnist-full-eda-to-cnn-99-4-on-test", "kernel_id": "22513176"}, {"ref": "lebyby/ml1-notebook", "kernel_id": "22465973"}, {"ref": "veronikasmirnova/smirnovaveronika-1", "kernel_id": "22469110"}, {"ref": "aerialflame7125/aiden-foard", "kernel_id": "22469027"}, {"ref": "olivermontoya/convolutional-neural-network-cnn-tutorial", "kernel_id": "22493379"}, {"ref": "andreyshestaev/labor1", "kernel_id": "22702558"}, {"ref": "aidachernyavskaya/digit", "kernel_id": "22643360"}, {"ref": "sandycardnell/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "22563786"}, {"ref": "marcosdavilima/mnist-digit-recognition-with-random-forests", "kernel_id": "22702213"}, {"ref": "egortuliandin/notebook5a21fae3ab", "kernel_id": "22932579"}, {"ref": "kirsonbrz/digit-recognizer-830504", "kernel_id": "22886970"}, {"ref": "misterr0b0t/my-first-kaggle-notebook-scored-0-98564", "kernel_id": "22830097"}, {"ref": "leonidspiridonov/digitrecignizer", "kernel_id": "22847169"}, {"ref": "lxxmik/ml1-5chr", "kernel_id": "22871246"}, {"ref": "chimchoppa/digit-recognizer-8308-smi", "kernel_id": "22887719"}, {"ref": "rmnv1488/shubinov-8308-lab1", "kernel_id": "22908052"}, {"ref": "anirudhnegi24/digit-recognizer", "kernel_id": "23521414"}, {"ref": "scirpus/qmistmotherofnonenn", "kernel_id": "23588889"}, {"ref": "scirpus/motherofnonenn", "kernel_id": "23583653"}, {"ref": "mnaqvi2/mnist-cnn-multiclassification", "kernel_id": "23013908"}, {"ref": "abhijeetgupta23/digit-recognizer-cnn-99-3-submission-accuracy", "kernel_id": "23912511"}, {"ref": "suddharshan/digit-recognizer-quick-cnn-for-beginners", "kernel_id": "23028024"}, {"ref": "andrewaf1/capstone-assignment-1-digit-recognition", "kernel_id": "23976232"}, {"ref": "redomy/red-rabie", "kernel_id": "23831503"}, {"ref": "coalbear/mnist-knn", "kernel_id": "23722780"}, {"ref": "saauraav/simplestkeras", "kernel_id": "23998275"}, {"ref": "lorenzovngl/digit-recognizer", "kernel_id": "23187741"}, {"ref": "lucasdmr/reconhecimento-digito", "kernel_id": "23596920"}, {"ref": "tanmaymane18/autoencoder-for-anomaly-detection-tf-and-wandb", "kernel_id": "23889604"}, {"ref": "drcapa/minst-fcnn-vs-cnn-pytorch-tutorial", "kernel_id": "23184748"}, {"ref": "gerult/efficientnet-0-98707", "kernel_id": "23594855"}, {"ref": "p7476762/cnn-model-for-acuraccy-0-992", "kernel_id": "23024927"}, {"ref": "paulojunqueira/cnn-for-mnist-with-pytorch", "kernel_id": "23673367"}, {"ref": "prabhjotkaur21/layerwise-unsupervised-pre-training", "kernel_id": "23961116"}, {"ref": "arnrob/autoencoders-and-vae", "kernel_id": "23966183"}, {"ref": "gabrielvinicius/simple-cnn-and-data-augmentation-with-pytorch", "kernel_id": "23640753"}, {"ref": "djowsdfe/mnist-simple-neural-network", "kernel_id": "23871900"}, {"ref": "sytuannguyen/digit-recognizer-with-torch-nn", "kernel_id": "23603968"}, {"ref": "sytuannguyen/digit-recognizer-cnn-keras", "kernel_id": "23590336"}, {"ref": "sytuannguyen/digit-recognizer-with-vgg16", "kernel_id": "23595360"}, {"ref": "sytuannguyen/the-power-of-ensemble-model", "kernel_id": "23692624"}, {"ref": "yogeshrampariya/mnist-classification-using-lenet-on-pytorch", "kernel_id": "23919968"}, {"ref": "yogeshrampariya/gan-model-for-mnist-data-generation", "kernel_id": "23969354"}, {"ref": "hwangchanghyun/2022-pytorch-wrap-code", "kernel_id": "23769470"}, {"ref": "hwangchanghyun/2022-tensorflow-tutorial-code-with-me", "kernel_id": "23605084"}, {"ref": "sanjaylalwani/digit-recognizer-with-tensorflow", "kernel_id": "23820894"}, {"ref": "andy8744/simple-beginner-cnn-with-augmentation", "kernel_id": "23489033"}, {"ref": "andy8744/simple-beginner-fc-neural-network", "kernel_id": "23484430"}, {"ref": "hummy7943/fork-of-digitrecognitionnaivebayes", "kernel_id": "23986208"}, {"ref": "lonnieqin/mnist-classification-pseudo-labeling", "kernel_id": "23768972"}, {"ref": "paddytheprogrammer/cnn-score-0-99171", "kernel_id": "23433906"}, {"ref": "mallapraveen/digit-recognizer", "kernel_id": "23641917"}, {"ref": "kurmapuhymavathi/illustration-of-pca-through-mnist-dataset", "kernel_id": "23566318"}, {"ref": "kurmapuhymavathi/project-pca", "kernel_id": "23567414"}, {"ref": "berkandonder/simple-digit-recognizer-with-svm-and-cnn", "kernel_id": "23022469"}, {"ref": "milosmrkajic/digit-recognizer-getting-started", "kernel_id": "23935774"}, {"ref": "luisresendiz/digit-recognizer-rf-nn", "kernel_id": "23837550"}, {"ref": "nikhil21092001/notebook0f135a7b80", "kernel_id": "23888062"}, {"ref": "mustiztemiz/convolutional-neural-networks-cnn", "kernel_id": "23978934"}, {"ref": "jaynilvaidya/ffnn-mnist", "kernel_id": "23837628"}, {"ref": "junior10/machine-learning-from-scratch", "kernel_id": "23890438"}, {"ref": "abbastailor/mnist-digit-recogniser", "kernel_id": "23044254"}, {"ref": "pabloruizponce/mnist-cnn-easysolution-0-98", "kernel_id": "23098075"}, {"ref": "lekuid/simple-tensorflow-cnn-for-97-mnist-prediction", "kernel_id": "23367321"}, {"ref": "wonchanleee/simple-dnn", "kernel_id": "23085870"}, {"ref": "rajivaiml/digitrecognizer-with-cnn", "kernel_id": "23901544"}, {"ref": "haruomiyoshikawa/mnist-spiking-neural-network-bindsnet", "kernel_id": "23374609"}, {"ref": "egorbondarenko/mnist-with-cnn-pytorch", "kernel_id": "23976394"}, {"ref": "ahmedmohameddawoud/mnist-0-98928-accuracy", "kernel_id": "23678706"}, {"ref": "ikhlasahmad/mnist-digit-recognizer-cnn", "kernel_id": "23866564"}, {"ref": "mustafamu/random-forest-classifier-using-hog-95-78", "kernel_id": "23899662"}, {"ref": "beren01/follow-along-25-million-images-0-99757-mnist", "kernel_id": "23059656"}, {"ref": "aditya01233/cnn-based-approach-98-79", "kernel_id": "23582708"}, {"ref": "ermismbatuhan/image-classification-anomaly-detection", "kernel_id": "23624451"}, {"ref": "ravikumarmn/digit-classification-deep-neural-network", "kernel_id": "23077126"}, {"ref": "amazingshon/pytorch-mnist-with-resnet", "kernel_id": "23614513"}, {"ref": "alexjercan/digitrecognition", "kernel_id": "23817515"}, {"ref": "vijayjaisankar/nnsfromscratch", "kernel_id": "23100314"}, {"ref": "ammarsayedtaha/digit-recognizer-using-ann-98-accuracy", "kernel_id": "23110196"}, {"ref": "lawrence664/mnist", "kernel_id": "23825384"}, {"ref": "satoshiss/digits-recognizer-simple-cnn", "kernel_id": "23882764"}, {"ref": "satoshiss/digits-recognizer-simple-xgb-classifier", "kernel_id": "23215778"}, {"ref": "ammarabbasi1040/digit-recognizer-made-simple-99-acc", "kernel_id": "23895512"}, {"ref": "nilshmeier/digit-classification-using-cnn", "kernel_id": "23033114"}, {"ref": "shmagijariashvili/cifar-10-tpu-97", "kernel_id": "23019079"}, {"ref": "sokhengdin/digit-recognizer-cnn-99-83", "kernel_id": "23932370"}, {"ref": "teeratatperomtukorn/mnist-with-keras-cnn-model-99-5-copy", "kernel_id": "23837361"}, {"ref": "aichekhalid/digit-recognizer", "kernel_id": "23844746"}, {"ref": "ungsumalynn/digit-recognizer-sequential", "kernel_id": "23999042"}, {"ref": "phuc16102001/digit-recognizer-mlp-model", "kernel_id": "23527020"}, {"ref": "hirparaharshal/digit-recognition", "kernel_id": "23837717"}, {"ref": "kuntalmaity/digit-recognizer", "kernel_id": "23819793"}, {"ref": "saquibali7/notebookab9777b8cc", "kernel_id": "23768063"}, {"ref": "alyonairinina/digit", "kernel_id": "23659976"}, {"ref": "lchnguynng/cnn-accuary-0-9999", "kernel_id": "23851798"}, {"ref": "isbahmehar/21l-7313-asbah-khalid-naive-bayes-dr-notebook", "kernel_id": "23445500"}, {"ref": "evgenypotapov/notebookf57603b6ae", "kernel_id": "23923144"}, {"ref": "evgenypotapov/notebook36f9ae12a6", "kernel_id": "23934960"}, {"ref": "evgenypotapov/notebookb1d2e4a428", "kernel_id": "23934863"}, {"ref": "kalelpark/mnist-classification-ensemble-kor-eng-ac-99-6", "kernel_id": "23986108"}, {"ref": "carrtesy/pytorch-cnn", "kernel_id": "23788297"}, {"ref": "thomaslemontagner/mnist-cnn-rf-svm-ensembling", "kernel_id": "23857482"}, {"ref": "maryragozina/notebookf57603b6ae", "kernel_id": "23915061"}, {"ref": "maryragozina/notebookb0fed309c9", "kernel_id": "23914778"}, {"ref": "ridamahmood54/20l-2301", "kernel_id": "23443883"}, {"ref": "jeenhammink/simple-mnist-nn", "kernel_id": "23779463"}, {"ref": "sumeetbohra/a-very-basic-neural-network", "kernel_id": "23095035"}, {"ref": "oguze3s/digit-recognizer-cnn", "kernel_id": "23123056"}, {"ref": "gargmanav/digit-recognition-using-cnn", "kernel_id": "23837690"}, {"ref": "tatyy555/digit-recognizer-computer-vision", "kernel_id": "23408884"}, {"ref": "mikhailkovzalov/kaggle1", "kernel_id": "23918053"}, {"ref": "alroger/mnist-cnn-svm-knn", "kernel_id": "23799630"}, {"ref": "alroger/mnist-cnn", "kernel_id": "23382176"}, {"ref": "adityasud/mnist-digit-recogniser-prac-1", "kernel_id": "23838832"}, {"ref": "rudraman/digit-recogniser-using-convolutional-neural-networ", "kernel_id": "23431478"}, {"ref": "ehabyahia/digit-recognizer", "kernel_id": "23439048"}, {"ref": "orianapalmacalabokis/mnist-digit-oriana", "kernel_id": "23796325"}, {"ref": "demko1/digit-recognizer-98-accuracy", "kernel_id": "23494441"}, {"ref": "mishrasiddhant/digit-recognizer-using-svm", "kernel_id": "23973184"}, {"ref": "yugorshkov/digit-recognizer-without-cv-methods-score-0-971", "kernel_id": "23435181"}, {"ref": "mdjafrilalamshihab/digit-recognizer-using-classic-ml", "kernel_id": "23077471"}, {"ref": "arnoldlth/lth-p107443-mnist-00", "kernel_id": "23715172"}, {"ref": "narenmohan97/mnist-knn-implementation-with-image-augmentation", "kernel_id": "23699135"}, {"ref": "danielcwq/digit-recogniser-with-fast-ai", "kernel_id": "23630305"}, {"ref": "valeriaoseneva/8306-oseneva-dr", "kernel_id": "23676891"}, {"ref": "lyudalapkina/smth-new", "kernel_id": "23928759"}, {"ref": "chrismysen/mnist-digits-basic-2d-conv", "kernel_id": "23949525"}, {"ref": "lisyuan0930/cnn-classification", "kernel_id": "23876954"}, {"ref": "yakeworld126/unet-mnist", "kernel_id": "23824009"}, {"ref": "rajlakshmisinha/digit-classification-rls", "kernel_id": "23385551"}, {"ref": "ivansmeyukha/smeyukha-8305-lab1", "kernel_id": "23000939"}, {"ref": "alexanderkostin/kostinav-8305-lab1", "kernel_id": "23001022"}, {"ref": "denisshvetsov811/lr1-shvetsov8305", "kernel_id": "23100959"}, {"ref": "nikitadyagilev/lr1-dyagilev8305", "kernel_id": "23101092"}, {"ref": "simonfedorov/fedorov-8305-lab-1", "kernel_id": "23156580"}, {"ref": "aleksandrkolbin/kolbin-8305-lr1", "kernel_id": "23156584"}, {"ref": "dmtnikolaev/notebook0a6bbd7fa6", "kernel_id": "23295196"}, {"ref": "antonsharandin/lr1-anton-sharandin", "kernel_id": "23299654"}, {"ref": "newu2012/digit-recognizer-newu2012", "kernel_id": "23447045"}, {"ref": "kevinsunpark/get-start-image-classification", "kernel_id": "23546651"}, {"ref": "waynewhying/digit-recognizer-cnn-tf", "kernel_id": "23690043"}, {"ref": "iamolivia/digit-recognizer-with-dl-model", "kernel_id": "23689307"}, {"ref": "minhvnhat/mnist-digit-recognizer", "kernel_id": "23757305"}, {"ref": "mikhailutk/8308tresko-digit-recognizer", "kernel_id": "23858841"}, {"ref": "badridavra/pract-1-irs-mnist", "kernel_id": "23838661"}, {"ref": "chrismuckel/notebook9f901cc110", "kernel_id": "23870042"}, {"ref": "sarafarooqi/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "23907806"}, {"ref": "aguspippi/first-digit-recognizer", "kernel_id": "23976956"}, {"ref": "egyfirst/get-97-using-simple-yet-one-parameter-algorithm", "kernel_id": "24201631"}, {"ref": "egyfirst/training-mnist-dataset-to-get-97", "kernel_id": "24267083"}, {"ref": "milkway/redes-neurais-aula-2", "kernel_id": "24511112"}, {"ref": "milkway/et645-atividade-3", "kernel_id": "24700437"}, {"ref": "rohitnagpal/solving-mnist-with-convnn", "kernel_id": "24398046"}, {"ref": "jangsoopark/digit-recognizer-simple-cnn-with-pytorch", "kernel_id": "24723926"}, {"ref": "jangsoopark/digit-recognizer-simple-residual-block", "kernel_id": "24758569"}, {"ref": "jagatbhat09/coding-nn-from-scratch-using-numpy", "kernel_id": "24547346"}, {"ref": "tunguz/mnist-rapids-svc-baseline", "kernel_id": "24875419"}, {"ref": "scottyiu/most-basic-tensorflow-scott-yiu", "kernel_id": "24900533"}, {"ref": "habibmrad1983/awesome-ml-frameworks-and-mnist-classification", "kernel_id": "24850859"}, {"ref": "skiplik/autoencoding-mnist-denoising-autoencoder", "kernel_id": "24560575"}, {"ref": "gopalsingh5/simple-digit-recognizer", "kernel_id": "24561446"}, {"ref": "lucasdmr/digit-recognizer-with-pytorch-timm", "kernel_id": "24746963"}, {"ref": "rabinadk1/mnist-classifier", "kernel_id": "24411080"}, {"ref": "palash97/pytorch-cnn", "kernel_id": "24048844"}, {"ref": "tapliershiru/cgan-on-mnist-dataset-tensorflow-2-x-onnx", "kernel_id": "24244178"}, {"ref": "allrgab/unusual-stacked-extratrees-and-randomforest", "kernel_id": "24628439"}, {"ref": "choupeiyuan/minist-simple-tensorflow-98", "kernel_id": "24772107"}, {"ref": "proff1/two-layer-convnets-with-mnist-data-0-994", "kernel_id": "24069947"}, {"ref": "marioeid/digit-recognizer-cnn-k-cross-tuner-99-625", "kernel_id": "24917068"}, {"ref": "nilaychauhan/digit-recognizer-using-jax-flax", "kernel_id": "24846771"}, {"ref": "rafffael/mnist-fastai", "kernel_id": "24882726"}, {"ref": "adenarayana/mnist-simple-cnn", "kernel_id": "24899034"}, {"ref": "mocochori/digit-recognizer-with-pytorch", "kernel_id": "24642919"}, {"ref": "hakanyuzbasioglu/neural-networks-study", "kernel_id": "24576899"}, {"ref": "paulojunqueira/mnist-with-pytorch-and-transfer-learning-timm", "kernel_id": "24687822"}, {"ref": "ravjotsandhu/kaggle-digit-recognizer", "kernel_id": "24377641"}, {"ref": "taranmarley/shufflenet-with-neural-surgery", "kernel_id": "24324180"}, {"ref": "taranmarley/stacked-extratrees-and-randomforest", "kernel_id": "24381682"}, {"ref": "taranmarley/dimension-reduction-and-knn", "kernel_id": "24728268"}, {"ref": "chumajin/acc97-3-by-only-cosine-similarity", "kernel_id": "24410823"}, {"ref": "huangjingstark/digit-recognizer-with-keras-personal-images", "kernel_id": "24374427"}, {"ref": "alifvianmarco/mnist-pytorch", "kernel_id": "24728552"}, {"ref": "vimalpillai/digit-recognizer", "kernel_id": "24285488"}, {"ref": "mehulraheja/transformer-for-vision-playground", "kernel_id": "24814749"}, {"ref": "mohamedalsayad/beginners-guide-to-mnist-dataset-classification", "kernel_id": "24281245"}, {"ref": "bextuychiev/full-tutorial-on-image-processing-in-skimage", "kernel_id": "24757175"}, {"ref": "amakis/digit-rec", "kernel_id": "24607921"}, {"ref": "neerajkaroshi/mnist-with-keras-for-beginners-0-97775-0-9906", "kernel_id": "24518950"}, {"ref": "deepalimish/mnist-recognizer-using-cnn", "kernel_id": "24617683"}, {"ref": "ohseokkim/mnist-let-s-see-it-from-a-new-perspective", "kernel_id": "24111166"}, {"ref": "vyegyanathan/digit-recognizer-my-attempt", "kernel_id": "24777935"}, {"ref": "sanjayanbu/pytorch-mnist", "kernel_id": "24696548"}, {"ref": "yahiamohamed/digit-recognizer", "kernel_id": "24520940"}, {"ref": "arinjaypathak/kaggle-digit-recognizer", "kernel_id": "24376900"}, {"ref": "gokulprasads/notebook1a0cb58743", "kernel_id": "24869660"}, {"ref": "jainishsavalia/mnist-cnn-pyotrch-99-625", "kernel_id": "24559886"}, {"ref": "nikhil21092001/digit-recognizer", "kernel_id": "24408228"}, {"ref": "omniasalahmahmoud/cnn-model-for-digit-recognition-with-99-accuracy", "kernel_id": "24537479"}, {"ref": "shivanir23/lung-colon-cancer-histopathological-images-monk", "kernel_id": "24359310"}, {"ref": "prakhars77/classificationusingtensorflow", "kernel_id": "24026663"}, {"ref": "yangleotrino/mnist-with-cnn-and-cuda", "kernel_id": "24116850"}, {"ref": "nersesaghababyan/mnist-cnn-99-6-top", "kernel_id": "24161624"}, {"ref": "hisoka2020/digit-recognizer-cnn-98-9", "kernel_id": "24723120"}, {"ref": "akshitmadan/digit-recognizer-cnn", "kernel_id": "24872354"}, {"ref": "nikhilchowdary1999/simple-tensorflow-model-97-935-accuracy", "kernel_id": "24171304"}, {"ref": "jaynilvaidya/dl-mnist", "kernel_id": "24203071"}, {"ref": "lilpegasus/mnist-mobilenet", "kernel_id": "24787055"}, {"ref": "henriqueweber/digit-recognizer", "kernel_id": "24676419"}, {"ref": "firatkizilboga/digit-recognizer", "kernel_id": "24559820"}, {"ref": "abdallamahmoudamin/digit-recognize-with-cnn", "kernel_id": "24335831"}, {"ref": "kirasmith509/apply-cnn-to-digit-recognizer", "kernel_id": "24542898"}, {"ref": "sabarish2611/digit-recognization-using-dnn", "kernel_id": "24599961"}, {"ref": "sabarish2611/digit-recognization-using-cnn", "kernel_id": "24775950"}, {"ref": "sabarish2611/alexnet-vs-mobilenet-using-mnist-data", "kernel_id": "24777415"}, {"ref": "sabarish2611/alexnet-vs-mobilenet-using-cifar10-data", "kernel_id": "24936082"}, {"ref": "muhammadmuzammil196/pca-algorithm-apply-on-mnist-data", "kernel_id": "24991576"}, {"ref": "ritzig/binary-classifiers-classification-metrics-tutorial", "kernel_id": "24218649"}, {"ref": "ritzig/multiclass-classification-metrics-tutorial-97", "kernel_id": "24852669"}, {"ref": "ahmedkafrana/ml-exercise4", "kernel_id": "24389025"}, {"ref": "alehandro35/neuralnetwork-using-keras-a-bit-of-cheating", "kernel_id": "24345637"}, {"ref": "mustafamu/convolutional-neural-network-cnn-using-hog-97-30", "kernel_id": "24060150"}, {"ref": "shinichioto/cnn-99-4-kerastuner-hv-tb", "kernel_id": "24915060"}, {"ref": "ramtinhamavar/feedforwardnetwork", "kernel_id": "24983944"}, {"ref": "anshumansharma002/mnist", "kernel_id": "24315891"}, {"ref": "meetvora090201/digit-recognizer-mv-ann", "kernel_id": "24396577"}, {"ref": "meetvora090201/digit-classification-using-cnn-99-6-accuracy", "kernel_id": "24037839"}, {"ref": "growbigger/mnist-cnn", "kernel_id": "24301787"}, {"ref": "givkashi/gan-tutorial-with-pytorch", "kernel_id": "24931206"}, {"ref": "dev1111/cnn-mnist", "kernel_id": "24508346"}, {"ref": "dev1111/ffnn-mnist", "kernel_id": "24303718"}, {"ref": "jeeltttt/irs-prac1-19bce283", "kernel_id": "24105153"}, {"ref": "alibugraoktay/digit-recognizer-competition", "kernel_id": "24293684"}, {"ref": "yashrathod0909/cnn-mnist-dataset", "kernel_id": "24554919"}, {"ref": "yashrathod0909/feed-forward-neural-network-mnist-digitrecognition", "kernel_id": "24202200"}, {"ref": "shahsmit45/digit-recognizer-using-ann", "kernel_id": "24590532"}, {"ref": "harshitshah1409/mastering-digit-recognition-achieving-99-48-accu", "kernel_id": "24075680"}, {"ref": "harshitshah1409/digit-recogniszer-ffnn-dl-lab", "kernel_id": "24584921"}, {"ref": "shahrushabh/ffnn-v1", "kernel_id": "24585391"}, {"ref": "malaydhami/cnn-ensemble-method", "kernel_id": "24554415"}, {"ref": "rizkykiky/fork-of-convnet", "kernel_id": "24754344"}, {"ref": "prnshv/19bce060-mnist-sub", "kernel_id": "24012823"}, {"ref": "gustavoliberado/lrimageprediction", "kernel_id": "24720981"}, {"ref": "dhruvinkakadia/mnist-recognizer-using-cnn-with-keras", "kernel_id": "24529753"}, {"ref": "dhruvinkakadia/mnist-recognizer-using-simple-nn-with-keras", "kernel_id": "24203839"}, {"ref": "dhruvinkakadia/irs-prac-1", "kernel_id": "24012598"}, {"ref": "martymavis/notebookad653aabb6", "kernel_id": "24107816"}, {"ref": "dariasvasileva/digit-recognizer-with-keras", "kernel_id": "24687858"}, {"ref": "ishanlamba/cs4664-machine-learning-notebook", "kernel_id": "24400883"}, {"ref": "imanmkhamis/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "24517848"}, {"ref": "kalpikhamogha/digit-recognizer-cnn", "kernel_id": "24386511"}, {"ref": "sharathshebbar/mnsit-scratch", "kernel_id": "24728332"}, {"ref": "deepernet/vgg-net-transfer-learning", "kernel_id": "24919975"}, {"ref": "williansoliveira/mlp-simples-com-keras-para-iniciantes", "kernel_id": "24954924"}, {"ref": "tanmayj3601/19bce089-cnn-final-digit-recognizer", "kernel_id": "24592733"}, {"ref": "tanmayj3601/19bce089-prac-3-final", "kernel_id": "24557095"}, {"ref": "ahmedelsayed777/handwritten-digit-recognizer", "kernel_id": "24837086"}, {"ref": "hirparaharshal/dl-lab2-dnn", "kernel_id": "24377627"}, {"ref": "hirparaharshal/dl-2-cnn", "kernel_id": "24543076"}, {"ref": "maryiaznak/mnist-using-deep-learning-with-python-book", "kernel_id": "24285335"}, {"ref": "tanakridfataweeporn/minst-nvidia", "kernel_id": "24775435"}, {"ref": "patelsiddharth/cnn-baseline-in-keras", "kernel_id": "24585132"}, {"ref": "patelsiddharth/ffnn-baseline-in-keras-sir-s-notebook", "kernel_id": "24405499"}, {"ref": "emre1k/stacked-cnn-mnist", "kernel_id": "24920218"}, {"ref": "rolfschuller/convolutional-neural-network-cnn-tutorial", "kernel_id": "24431739"}, {"ref": "mkamadeus/mnist-maas", "kernel_id": "24368418"}, {"ref": "wasdac/digit-recog", "kernel_id": "24902670"}, {"ref": "pranshushah176/mnist-cnn", "kernel_id": "24392404"}, {"ref": "kalariabhargav/19bce090-cnn-mnist", "kernel_id": "24558974"}, {"ref": "kalariabhargav/ffnn-mnist-19bce90", "kernel_id": "24557243"}, {"ref": "almahmudalmamun/notebooka049913574", "kernel_id": "24839827"}, {"ref": "tristanverbeeck/digit-recognizer-cnn", "kernel_id": "24845859"}, {"ref": "rahulkumarvarma/digit-recognization-using-svm", "kernel_id": "24329388"}, {"ref": "samuelcortinhas/mnist-dataset-distillation", "kernel_id": "24492829"}, {"ref": "shashwatsachan/intro-to-tensorflow", "kernel_id": "24177786"}, {"ref": "sarayavari/deep-neural-network-fully-connected", "kernel_id": "24643863"}, {"ref": "gopalgoyal612002/using-tensor-and-keras-flow", "kernel_id": "24207205"}, {"ref": "gopalgoyal612002/digit-recognizer-using-svm", "kernel_id": "24207206"}, {"ref": "tashijeshong/tashi-digit-recognizer-test-case-1", "kernel_id": "24318245"}, {"ref": "alexmorinvt/alex-morin-cs-4664-a1", "kernel_id": "24213839"}, {"ref": "aumkhant/dl-practical-4-cnn", "kernel_id": "24760249"}, {"ref": "aumkhant/19bce096-dl-practical-4", "kernel_id": "24557100"}, {"ref": "kahansheth/digit-recognizer-using-dense-layers-98-425", "kernel_id": "24585436"}, {"ref": "kahansheth/digit-recognizer-using-cnn-99-4", "kernel_id": "24206478"}, {"ref": "nurbekserzhanov/digit-recognizer-difference-between-cnn-and-ann", "kernel_id": "24073018"}, {"ref": "richardbaczur1/digit-recognizer-using-lenet-5", "kernel_id": "24563465"}, {"ref": "richardbaczur1/digit-recognizer-keras-conv-neural-network", "kernel_id": "24239482"}, {"ref": "skrynnik/digitizer", "kernel_id": "24414416"}, {"ref": "dhamur/digits-recognizer-1-2-3-4-5-6-7-8-9", "kernel_id": "24636461"}, {"ref": "priyankdl/cnn-baseline-in-keras", "kernel_id": "24185949"}, {"ref": "priyankdl/digit-reco-99-6plus-noleaks-cnn-ensemble-aug", "kernel_id": "24177211"}, {"ref": "priyankdl/ffnn-baseline-in-keras", "kernel_id": "24180334"}, {"ref": "marcosdavilima/fork-of-digit-recognition-using-mnist-digit-965a67", "kernel_id": "24318927"}, {"ref": "marcosdavilima/digit-recognition-using-mnist-digit-dataset-532fac", "kernel_id": "24162495"}, {"ref": "marcosdavilima/digit-recognition-using-mnist-digit-dataset", "kernel_id": "24134200"}, {"ref": "aetelfinch/digit-recognizer-with-pytorch-timm-resnet34", "kernel_id": "24263488"}, {"ref": "aishwarya2210/prediction-of-digits-from-handwritten-images", "kernel_id": "24337610"}, {"ref": "waynewhying/digit-recognizer-transferlearning-resnet50v2", "kernel_id": "24068303"}, {"ref": "waynewhying/digit-recognizer-e-capsnet", "kernel_id": "24075730"}, {"ref": "waynewhying/digit-recognizer-mobilenetv3-tf", "kernel_id": "24066305"}, {"ref": "michaelliangau/mnist", "kernel_id": "24274207"}, {"ref": "chengchuan1024/0213-mnist-resnet-pytorch", "kernel_id": "24638251"}, {"ref": "kapadiamayank/irs-p1-19bce092", "kernel_id": "24022171"}, {"ref": "kapadiamayank/digit-recognizer-using-ann", "kernel_id": "24063646"}, {"ref": "lakdawalaneel/ffnn-digit-recognizer", "kernel_id": "24555181"}, {"ref": "lakdawalaneel/irs-prac-1", "kernel_id": "24001546"}, {"ref": "dhairyajadav19bce050/digit-recognizer", "kernel_id": "24303720"}, {"ref": "dhairyajadav19bce050/mnist-cnn", "kernel_id": "24380694"}, {"ref": "gohilaayush/digit-recognition-notebook", "kernel_id": "24378954"}, {"ref": "mepanikalp/19bce127-dl-practical3-digit-recognizer-ann", "kernel_id": "24203054"}, {"ref": "lakshita08/dlprac3-ffnn", "kernel_id": "24557274"}, {"ref": "rijucoder/mnist-with-tensorflow-keras-backend", "kernel_id": "24839085"}, {"ref": "mitulnakrani/19bce139-irs-practical1", "kernel_id": "24021064"}, {"ref": "shagalsajid/simplest-cnn-for-mnist-99", "kernel_id": "24790181"}, {"ref": "shagalsajid/basic-tensorflow-model-for-mnist-96-7", "kernel_id": "24787669"}, {"ref": "preet45/irs-prac1", "kernel_id": "24368948"}, {"ref": "ahmetcelik158/digit-recognition-with-a-simple-pytorch-model", "kernel_id": "24668336"}, {"ref": "ahmetcelik158/digit-recognition-cnn-with-pytorch", "kernel_id": "24703553"}, {"ref": "kanisha9/mlp-mnist", "kernel_id": "24037914"}, {"ref": "kanisha9/cnn-mnist-19bce253", "kernel_id": "24231509"}, {"ref": "priyalpalkhiwala/19bce214-irs-practical-1", "kernel_id": "24393427"}, {"ref": "anshray/mnist-irs-prac-1", "kernel_id": "24231241"}, {"ref": "shailshah611/irs-prac1", "kernel_id": "24217467"}, {"ref": "rathodmayur3/practical1-digit-recognizer-svm", "kernel_id": "24228868"}, {"ref": "aayush349/practical1-irs-19bce245", "kernel_id": "24368746"}, {"ref": "vachhanijurin/19bce286-digitrecognizer-ann", "kernel_id": "24585394"}, {"ref": "sachichaudhary/19bce230-prac-1", "kernel_id": "24218450"}, {"ref": "zafarkheshki/digit-recognizer-simple-svm-with-scikit-learn", "kernel_id": "24826175"}, {"ref": "shibamoon/cnn-approach-to-mnist-problem", "kernel_id": "24166771"}, {"ref": "nicholasfrankenberg/mnist-notebook", "kernel_id": "24247139"}, {"ref": "sr2pnn/digit-recognition-nb", "kernel_id": "24481393"}, {"ref": "jaykumar2862/mnsit-ffnn", "kernel_id": "24244053"}, {"ref": "tvergeres/notebook77aee81b64", "kernel_id": "24347382"}, {"ref": "batuhanberkayaydin/fully-connected-layer-digit-recognizer", "kernel_id": "24414272"}, {"ref": "shubhamjaiswal4/digit-recognition-using-keras", "kernel_id": "24971237"}, {"ref": "gregorkaretka/resnet-with-data-augmentation-99-3-on-ver-19", "kernel_id": "24742300"}, {"ref": "augustojb/mlp-simples-com-keras-para-iniciantes", "kernel_id": "24498759"}, {"ref": "augustojb/cnn-simples-com-keras-para-iniciantes", "kernel_id": "24525223"}, {"ref": "giulliabraga/atividade-3-giullia-braga", "kernel_id": "24741884"}, {"ref": "alirashnabadi/notebookee256e32f9", "kernel_id": "24695426"}, {"ref": "pravesh647/mnist-ffnn", "kernel_id": "24965419"}, {"ref": "galchris/mnist-modified-lenet-pytorch", "kernel_id": "24738730"}, {"ref": "bretzoule/3-layers-mnist-bretzoule", "kernel_id": "24766798"}, {"ref": "akashsdevbanshi/mnist-using-ann-diff-when-you-scale-data-not", "kernel_id": "24987610"}, {"ref": "ibrahimroshan/fastai-digitrecognizer", "kernel_id": "24881275"}, {"ref": "abhishek/digit-recognizer-using-tez", "kernel_id": "25730591"}, {"ref": "willstanton/cnn-mnist-digit-recognizer-demo", "kernel_id": "25163931"}, {"ref": "darshansharma007/mnist-nn-with-tensorrt", "kernel_id": "25601420"}, {"ref": "milkway/et645-atividade-3-modelo-3", "kernel_id": "25415313"}, {"ref": "sarattatineni/freeman-chain-code-second-attempt", "kernel_id": "25120497"}, {"ref": "zoupet/exercice-5deep", "kernel_id": "25856500"}, {"ref": "saianirudharra/mnist-cnn-implementation", "kernel_id": "25014281"}, {"ref": "farazrahman/digit-recognizer-getting-started-with-tf", "kernel_id": "25814889"}, {"ref": "dmerve/digit-recognizer-with-cnn-and-tensorflow", "kernel_id": "25178335"}, {"ref": "joey0201/dcgan-with-pytorch", "kernel_id": "25593467"}, {"ref": "andyzeu/cnn-experimentation", "kernel_id": "25828291"}, {"ref": "mastrofran/digit-recognizer-using-cnns-with-keras", "kernel_id": "25134177"}, {"ref": "rvalieris/mnist-with-fastai", "kernel_id": "25756167"}, {"ref": "cnjameshu/mnist-multi-cnn-99-65", "kernel_id": "25107646"}, {"ref": "pelagial/cnn-w-keras-subclassing-0-995-acc", "kernel_id": "25467021"}, {"ref": "huynhthaihoa1995/pytorch-tutorial-rnn", "kernel_id": "25552361"}, {"ref": "huynhthaihoa1995/pytorch-tutorial-lstm", "kernel_id": "25552805"}, {"ref": "tomaru5963/digit-recognizer", "kernel_id": "25893431"}, {"ref": "ingledarshan/mnist-working-with-restricted-boltzmann-machines", "kernel_id": "25678486"}, {"ref": "hadasu92/mnist-encoder-decoder-in-keras", "kernel_id": "25603487"}, {"ref": "a165079/digit-classifier-using-log-and-rfs", "kernel_id": "25082487"}, {"ref": "stpeteishii/mnist-detection-yolov5", "kernel_id": "25789431"}, {"ref": "stpeteishii/digit-csv-data-to-png", "kernel_id": "25333784"}, {"ref": "stpeteishii/mnist-images-albumentations", "kernel_id": "25082008"}, {"ref": "stpeteishii/rolling-mnist-slide-show", "kernel_id": "25508440"}, {"ref": "hali666/digit-recognizer-python", "kernel_id": "25080040"}, {"ref": "bouchenemehdi/hog-pca37-svm", "kernel_id": "25374101"}, {"ref": "michaelscheinfeilda/simplest-cnn-for-mnist-99", "kernel_id": "25015893"}, {"ref": "enriqueizel/cnn-simples-com-keras-para-iniciantes-atividade1", "kernel_id": "25267458"}, {"ref": "harlayfr/digit-recon", "kernel_id": "25258418"}, {"ref": "dyonekura/tec-2-uea", "kernel_id": "25258547"}, {"ref": "ledizia/top-ii-an-lise-explorat-ria-do-digit-recognizer", "kernel_id": "25126170"}, {"ref": "mchilamwar/digit-recognizer-mnist-cnn", "kernel_id": "25258396"}, {"ref": "arkhanzada/mnist-loves-cnn-99-acc", "kernel_id": "25386916"}, {"ref": "yongwonjin/digit-recognizer", "kernel_id": "25296780"}, {"ref": "zeeshanarif7/mnist-digit-classification-using-cnn", "kernel_id": "25864826"}, {"ref": "paulojunqueira/rbm-boltzmann-experiment", "kernel_id": "25909904"}, {"ref": "chumajin/visualization-to-progress-of-ml-using-umap", "kernel_id": "25087009"}, {"ref": "kevinkwan/digit-recognizer", "kernel_id": "25517861"}, {"ref": "carlmcbrideellis/mnist-digits-randomforest-solver-usage-example", "kernel_id": "25306892"}, {"ref": "carlmcbrideellis/mnist-with-no-neural-network", "kernel_id": "25252404"}, {"ref": "mohamedelhakim/digit-recognizer", "kernel_id": "25470782"}, {"ref": "anabeg/desafio-digit-recognizer-cnn-simples-com-keras", "kernel_id": "25286030"}, {"ref": "suraz11/mnist-cnn-with-grid-search", "kernel_id": "25163750"}, {"ref": "markusorblom/digit-recognition-with-pytorch-neural-networks", "kernel_id": "25144897"}, {"ref": "markusorblom/machine-learning-basics-with-pytorch", "kernel_id": "25233197"}, {"ref": "allanyiinai/mnist-demo", "kernel_id": "25031952"}, {"ref": "grzegorzzawadzki/mnist-from-scratch-with-numpy-and-t-softmax", "kernel_id": "25253235"}, {"ref": "juanromera/digit-recognizer", "kernel_id": "25874813"}, {"ref": "talissamoura/utilizando-bagging-ensemble-com-cnns", "kernel_id": "25257245"}, {"ref": "talissamoura/cnn-simples-para-o-mnist", "kernel_id": "25288386"}, {"ref": "shikameow/multi-branch-99-9", "kernel_id": "25594445"}, {"ref": "nofishno/simple-cnn-with-pytorch", "kernel_id": "25799506"}, {"ref": "ruddyguerreroalvarez/digit-recognizer-ensemble-methods-cnn-99-625", "kernel_id": "25276879"}, {"ref": "matheusdouglas/cnn-simples-md", "kernel_id": "25288505"}, {"ref": "ariskoumplis/loading-mnist-data", "kernel_id": "25771428"}, {"ref": "hanselliott/mnist-mlp-with-keras-for-r", "kernel_id": "25688555"}, {"ref": "bekbolsultankulov/cnn-mnist-data-set", "kernel_id": "25926581"}, {"ref": "kimchanyoung/mnist-classifier-baseline-for-starter-99-4", "kernel_id": "25659526"}, {"ref": "kimchanyoung/pytorch-anomaly-detection-with-autoencoder", "kernel_id": "25646634"}, {"ref": "raj1720/digit-recognizer", "kernel_id": "25368111"}, {"ref": "bhavinmoriya/deep-learning-visualizing-cnn-layers", "kernel_id": "25933707"}, {"ref": "bhavinmoriya/mnist-with-no-neural-network", "kernel_id": "25390502"}, {"ref": "shivanir23/vgg-digit-recogniser-dataset", "kernel_id": "25067478"}, {"ref": "ishan2851/digit-neural-network", "kernel_id": "25725635"}, {"ref": "neslihansogur/convolutional-neural-network-cnn-tutorial", "kernel_id": "25959911"}, {"ref": "marianpanyar/deep-hebbian-network-no-bp-from-scratch", "kernel_id": "25549574"}, {"ref": "jagannathmanchiraju/kaggle-digit-recognizer-my-best-model-cnn-999", "kernel_id": "25080543"}, {"ref": "toutatsu/mnist-pytorch-cnn", "kernel_id": "25030695"}, {"ref": "rubemsilas/cnn-simples-com-keras-para-iniciantes-02a63b", "kernel_id": "25126187"}, {"ref": "tiagosa/cnn-mnist-dataset", "kernel_id": "25289284"}, {"ref": "joshuainkaggle/mnist", "kernel_id": "25856620"}, {"ref": "chaithrakc/decision-tree-and-naive-bayes-digit-recongnizer", "kernel_id": "25842673"}, {"ref": "tatfi32/mnist-basic", "kernel_id": "25133474"}, {"ref": "arushansinnadurai/cais-2022-convolutional-neural-network-project", "kernel_id": "25210249"}, {"ref": "arushansinnadurai/cais-2022-workshop-6-introduction-to-cnn", "kernel_id": "25029423"}, {"ref": "jeonghyunha/mnist-classification-pca", "kernel_id": "25746956"}, {"ref": "krishnapatel58/krishna-patel-cnn-model", "kernel_id": "25166183"}, {"ref": "lucaslima21/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126169"}, {"ref": "benjaminbsb/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126172"}, {"ref": "amirpourmand/mnist-tensorflow", "kernel_id": "25370228"}, {"ref": "oishikg/random-forest-based-digit-classifier", "kernel_id": "25296007"}, {"ref": "nataliacavalcantex/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126201"}, {"ref": "shimjongsoo/speed-up-by-dimension-reduction-pca-lda", "kernel_id": "25646400"}, {"ref": "abhijeetmeshram/digit-recognizer-with-random-forest", "kernel_id": "25317143"}, {"ref": "tahafirozbharucha/digit-recognizer-ann", "kernel_id": "25272400"}, {"ref": "tahafirozbharucha/digit-recognizer-cnn", "kernel_id": "25293827"}, {"ref": "danielmoreiradesousa/tensorflow-predicting-digits-99-07", "kernel_id": "25080057"}, {"ref": "brunocardoso10/atv-1-digit-recognize", "kernel_id": "25266359"}, {"ref": "chaitalithakkar/irs-mnist-prac-1", "kernel_id": "25284049"}, {"ref": "chaitalithakkar/mnist-data-cnn", "kernel_id": "25651061"}, {"ref": "abbicici/cnn-mnist-98-960", "kernel_id": "25206660"}, {"ref": "mithilvasava/cnn-mnist", "kernel_id": "25287331"}, {"ref": "mithilvasava/mnist-mlp", "kernel_id": "25287125"}, {"ref": "nataliamakferson/notebook3952a45045", "kernel_id": "25087444"}, {"ref": "raj401/subset-digit-recognition27", "kernel_id": "25412022"}, {"ref": "emansalah2000/digit-recogntion", "kernel_id": "25254684"}, {"ref": "walteralvarado/cnn-digit-recognizer", "kernel_id": "25107291"}, {"ref": "dev1111/ensemble-mnist", "kernel_id": "25044888"}, {"ref": "yam0214/mnist-assignment", "kernel_id": "25445380"}, {"ref": "yashrathod0909/mnist-cnn-ensemble-learning", "kernel_id": "25047288"}, {"ref": "shahsmit45/digit-recognizer-using-cnn", "kernel_id": "25329056"}, {"ref": "jorengijsbrechts/apa-w1", "kernel_id": "25006427"}, {"ref": "jkanthony/deep-neural-networks-using-keras", "kernel_id": "25546352"}, {"ref": "stutipatel44/digit-recogniser-ann", "kernel_id": "25271696"}, {"ref": "stutipatel44/digit-recognizer-cnn", "kernel_id": "25294417"}, {"ref": "bhingradiyameet/digit-recognizer-ann", "kernel_id": "25220002"}, {"ref": "bhingradiyameet/digit-recogizer-cnn", "kernel_id": "25208185"}, {"ref": "danushkumarv/mnist-svm", "kernel_id": "25833763"}, {"ref": "danushkumarv/mnist-cnn", "kernel_id": "25803665"}, {"ref": "thiagosantosborges/cnn-simples-com-keras-para-iniciantes-topii-2021-2", "kernel_id": "25268726"}, {"ref": "dhruvinkakadia/cnn-ensemble", "kernel_id": "25049593"}, {"ref": "leejulian/digit-recongnizer-first-try", "kernel_id": "25491984"}, {"ref": "koalaswelcome/keras-conv2-w-imagedatag", "kernel_id": "25682058"}, {"ref": "koalaswelcome/keras-conv1-w-imagedatagen", "kernel_id": "25621208"}, {"ref": "koalaswelcome/keras-conv1", "kernel_id": "25569490"}, {"ref": "williansoliveira/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126327"}, {"ref": "danielbm/an-lise-explorat-ria-de-cnn", "kernel_id": "25126160"}, {"ref": "ericaamoedo/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126183"}, {"ref": "robertoan/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25288275"}, {"ref": "yassertuma/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126164"}, {"ref": "jognovezujunior/topii-cnn-simples-mnist-keras", "kernel_id": "25526296"}, {"ref": "vinipessoa8/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25191945"}, {"ref": "icarosantospereira/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126173"}, {"ref": "rprkh15/mnist-99-546-ensembling-10-cnns", "kernel_id": "25255803"}, {"ref": "vivek005k/digit-classifier-using-cnn-pytorch", "kernel_id": "25668116"}, {"ref": "lordkun/cnn-model", "kernel_id": "25677662"}, {"ref": "joovictsousa/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25288772"}, {"ref": "veerpalsingh/pca-analysis-and-visualization", "kernel_id": "25420228"}, {"ref": "vipulshukla/mnist-digits-tf-with-keras", "kernel_id": "25650943"}, {"ref": "aayushdeswal/98-6-digit-recognizer-cnn", "kernel_id": "25351027"}, {"ref": "darvikitaliya/20bce509-ffnn-minst", "kernel_id": "25270938"}, {"ref": "darvikitaliya/20bce509-cnn-minst", "kernel_id": "25261498"}, {"ref": "dkurbatovv/digit-recognizer-0-998", "kernel_id": "25726145"}, {"ref": "joonasyoon/mnist-classification-99-446", "kernel_id": "25719798"}, {"ref": "dmitrylessy/mnist-cnn-ensemble-99-7-accuracy", "kernel_id": "25089438"}, {"ref": "donandjuliepartner/notebookd13f4adf49", "kernel_id": "25119404"}, {"ref": "vaibhavkundaliya/cnn-squ", "kernel_id": "25204983"}, {"ref": "emilienw/pca-logreg-svc-knn-randforest-cnn-vit", "kernel_id": "25343834"}, {"ref": "shorliu/simple-cnn-to-repcnn-with-pytorch", "kernel_id": "25819202"}, {"ref": "gagandshivamadhu/mnist-modified-lenet-epoch-20-pytorch", "kernel_id": "25959913"}, {"ref": "pranshushah176/mnist-dense-output", "kernel_id": "25267623"}, {"ref": "liangyz2019/r-lenet-digit", "kernel_id": "25180967"}, {"ref": "boulahchichenadir/cnn-beginner-guide", "kernel_id": "25132907"}, {"ref": "khooshalikapopara/ann-p3", "kernel_id": "25220969"}, {"ref": "khooshalikapopara/digit-recognizer-cnn", "kernel_id": "25057922"}, {"ref": "napoleonperez/convolutional-neural-network-cnn-tutorial", "kernel_id": "25413666"}, {"ref": "niekvanderzwaag/knn-data-augmentation", "kernel_id": "25556425"}, {"ref": "shashwatsachan/mnist-cnn-guide-99-27-accurate", "kernel_id": "25057943"}, {"ref": "dvijeshbhatt/ffnn-baseline-in-keras", "kernel_id": "25660719"}, {"ref": "paveltrusov/mnist-keras-cnn-with-tf-data-pipeline", "kernel_id": "25659486"}, {"ref": "paveltrusov/mnist-1-00000-full-dataset-and-cnn", "kernel_id": "25790145"}, {"ref": "abhinandanreddy/mnist-using-plain-cnn-data-augmentation-100-ep", "kernel_id": "25662267"}, {"ref": "abhinandanreddy/mnist-using-keras", "kernel_id": "25593960"}, {"ref": "rochavit/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126163"}, {"ref": "allanpardinho/trab1-keras", "kernel_id": "25290364"}, {"ref": "asaadmohamed/digit-recognizer-with-cnn", "kernel_id": "25201904"}, {"ref": "josuealves/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126050"}, {"ref": "arkpatel/19bce014-irs-prac-1", "kernel_id": "25293480"}, {"ref": "adrienbouvais/keras-score-0-9864-conv2d-data-augmentation", "kernel_id": "25374559"}, {"ref": "vduchauffour/vit-digits-with-pytorch", "kernel_id": "25622758"}, {"ref": "aizawatoya/kerascnn", "kernel_id": "25899714"}, {"ref": "aizawatoya/notebookc39e972da6", "kernel_id": "25695027"}, {"ref": "bartoszdorobek/digit-recognition-with-cnn", "kernel_id": "25148163"}, {"ref": "sanjaytanwar/pca-analysis", "kernel_id": "25177625"}, {"ref": "melonpasta/mnist-pytorch", "kernel_id": "25919482"}, {"ref": "memariyachirag/19bce126-mnsit-ann", "kernel_id": "25233778"}, {"ref": "memariyachirag/19bce126-cnn-fi", "kernel_id": "25239247"}, {"ref": "manil913/19bce116-prac3-ann", "kernel_id": "25238961"}, {"ref": "manil913/19bce116-prac3-cnn", "kernel_id": "25220638"}, {"ref": "kapadiamayank/digit-recognizer-using-cnn", "kernel_id": "25045533"}, {"ref": "jashmavani/dl-pract-3-ann", "kernel_id": "25221131"}, {"ref": "jashmavani/mnist-cnn", "kernel_id": "25207955"}, {"ref": "lakdawalaneel/cnn-mnist", "kernel_id": "25056575"}, {"ref": "vk19bce099/dl-prac-3-fnn-sequential", "kernel_id": "25043201"}, {"ref": "mankodiyaharsh/19bce117-dl-prac3", "kernel_id": "25221194"}, {"ref": "makavananikhil/mnist-cnn", "kernel_id": "25219706"}, {"ref": "makavananikhil/mnist-ann", "kernel_id": "25271864"}, {"ref": "poojandabhi/fnn-mnist", "kernel_id": "25281059"}, {"ref": "mihirbhanderi1310/irs-prac-1", "kernel_id": "25195584"}, {"ref": "mihirbhanderi1310/ann-mnist", "kernel_id": "25089657"}, {"ref": "kushbhatt123/cnn-mnist-irs-prac1", "kernel_id": "25766544"}, {"ref": "mananpatell/dl-prac3-cnn", "kernel_id": "25047791"}, {"ref": "mananpatell/dl-prac3-ann", "kernel_id": "25048017"}, {"ref": "vishalmakwana111/19bce111-dl-prac3", "kernel_id": "25233422"}, {"ref": "vishalmakwana111/19bce111-dl-prac2", "kernel_id": "25233518"}, {"ref": "manushimunshi/ann-digit", "kernel_id": "25040687"}, {"ref": "manushimunshi/cnn-digit", "kernel_id": "25006012"}, {"ref": "makwanaronik/19bce110-dl-prac2", "kernel_id": "25234906"}, {"ref": "makwanaronik/19bce110-dl-prac3", "kernel_id": "25238287"}, {"ref": "mepanikalp/19bce127-dl-practical3-digit-recognizer-cnn", "kernel_id": "25212216"}, {"ref": "lakshita08/dlprac3cnn", "kernel_id": "25049178"}, {"ref": "reemaljaber/practice-neural-network-2", "kernel_id": "25798566"}, {"ref": "preet45/digitrecffnn", "kernel_id": "25235781"}, {"ref": "preet45/digitreccnn", "kernel_id": "25272220"}, {"ref": "kanisha9/ann-mnist-19bce253", "kernel_id": "25293090"}, {"ref": "radadiyachirag/19bce215-irs-practical1", "kernel_id": "25282138"}, {"ref": "mayusharathod/mnist-cnn", "kernel_id": "25261411"}, {"ref": "raviyavatsal/mnist-sequential-3", "kernel_id": "25256874"}, {"ref": "raviyavatsal/irs-prac1", "kernel_id": "25269320"}, {"ref": "raviyavatsal/dl-prac-cnn-4", "kernel_id": "25270867"}, {"ref": "shivam0105/dl-practical-2-ffnn", "kernel_id": "25260510"}, {"ref": "shivam0105/dl-practical-3-cnn", "kernel_id": "25260860"}, {"ref": "shivam0105/irs-practical-1-cnn", "kernel_id": "25285413"}, {"ref": "rathodmayur3/digit-recognizer-cnn", "kernel_id": "25270988"}, {"ref": "aayush349/cnn-ensemble", "kernel_id": "25268644"}, {"ref": "aayush349/ffnn-trial-2", "kernel_id": "25256961"}, {"ref": "aayush349/ffnn-trial-1", "kernel_id": "25257664"}, {"ref": "pooja42/irs-practical-1-mnist-digit-recognizer", "kernel_id": "25290117"}, {"ref": "patelesha04/19bce169-irs-practical1", "kernel_id": "25292825"}, {"ref": "nish1104/irs-prac1", "kernel_id": "25292955"}, {"ref": "vachhanijurin/19bce286-digitrecognizer-cnn", "kernel_id": "25339811"}, {"ref": "harshwardhanyadav/19bce301-mnist-ann", "kernel_id": "25271783"}, {"ref": "harshwardhanyadav/19bce301-mnist-cnn", "kernel_id": "25273561"}, {"ref": "shahsmitkiran/digit-recognizer-using-cnn", "kernel_id": "25108315"}, {"ref": "shahsmitkiran/digit-recognizer-using-ann", "kernel_id": "25108117"}, {"ref": "hudasaleh1/cnn-using-keras", "kernel_id": "25980759"}, {"ref": "ansumansamal/digitrecognizer-convnet", "kernel_id": "25354055"}, {"ref": "gabrieldu69/tensorflow-cnn-model", "kernel_id": "25997505"}, {"ref": "rajatharigasp/mnist-simple-cnn", "kernel_id": "25093988"}, {"ref": "rajatharigasp/mnist-cnn-using-imagedatagenerator", "kernel_id": "25070855"}, {"ref": "jaykumar2862/mnist-cnn-ensemble", "kernel_id": "25059148"}, {"ref": "jaykumar2862/mnist-cnn", "kernel_id": "25043118"}, {"ref": "shantanudhakadd/mnist-beginner-friendly-notebook", "kernel_id": "25491238"}, {"ref": "siridean/mnist-cnn-number-predictions", "kernel_id": "25836938"}, {"ref": "giulliabraga/atividade-7-giullia", "kernel_id": "25285886"}, {"ref": "diegosilvadacunha/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25126165"}, {"ref": "ramesaliyev/mnist-digit-recognizer-with-cnn-tutorial", "kernel_id": "25315054"}, {"ref": "dogukanalparslan/cnn-model", "kernel_id": "25675495"}, {"ref": "damascenogabriela/atividade-1-cnn-simples-com-keras", "kernel_id": "25126285"}, {"ref": "yutosz/cnn-atividade-uea-est", "kernel_id": "25126154"}, {"ref": "luizglomyer/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25267644"}, {"ref": "kevensoares/atividade-uea-cnn", "kernel_id": "25235535"}, {"ref": "pssfjruea/tep2-cnn-an-lise", "kernel_id": "25289536"}, {"ref": "kylcianefreitas/cnn-simples-com-keras-para-iniciantes-kylciane-f", "kernel_id": "25102704"}, {"ref": "arthurgomesvalado/cnn-simples-com-keras-para-iniciantes-arthur", "kernel_id": "25286837"}, {"ref": "wushengtao/mlp-for-mnist-with-numpy", "kernel_id": "25095026"}, {"ref": "fabriciomady/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25287440"}, {"ref": "adoger/convolutional-neural-network-cnn", "kernel_id": "25108905"}, {"ref": "wonjinkim1010/mnist-0-991-cnn-model", "kernel_id": "25670669"}, {"ref": "bybaymax/cnn-simples-com-keras-bayma", "kernel_id": "25126197"}, {"ref": "laiscalderado/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25290307"}, {"ref": "lillybrl/cifar10-autoencodeurs-08-03-eval", "kernel_id": "25200354"}, {"ref": "brunofreireuea/cnn-simples-com-keras-para-iniciantes-bruno", "kernel_id": "25242023"}, {"ref": "olgaalves/cnn-simples-com-keras", "kernel_id": "25242184"}, {"ref": "holyversvinicius/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25265657"}, {"ref": "msoaresms/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25243349"}, {"ref": "gabriellestephanie/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25265992"}, {"ref": "edwardjunior/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25266389"}, {"ref": "willfreitas/mlp-simples-com-keras-para-iniciantes-dde236", "kernel_id": "25290995"}, {"ref": "deboramorae/top2-digital-recognizer-cnn", "kernel_id": "25269450"}, {"ref": "sgabrielsantos/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25284781"}, {"ref": "robertobevilaqua/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25290382"}, {"ref": "vinciuspiinheiro/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25286670"}, {"ref": "isaquevilsonuea/cnn-simples-com-keras-para-iniciantes", "kernel_id": "25287048"}, {"ref": "eduardosouzanogueira/cnn-simples-com-keras-para-iniciantes-c13f19", "kernel_id": "25290419"}, {"ref": "prashanthacsq/mnist-mlp", "kernel_id": "25420287"}, {"ref": "prashanthacsq/mnist-cnn-64", "kernel_id": "25622706"}, {"ref": "prashanthacsq/mnist-resnet-64", "kernel_id": "25566713"}, {"ref": "prashanthacsq/mnist-cnn", "kernel_id": "25563271"}, {"ref": "isaacritharson/predicting-digits-using-tensorflow", "kernel_id": "25737089"}, {"ref": "hafidhhabibie/simple-mnist-autoencoder", "kernel_id": "25612505"}, {"ref": "chizuruichinose/chapuisjulien-digitrecognizer", "kernel_id": "25664964"}, {"ref": "anmolbindroo/mnist-digit-recognition-nn-670b20", "kernel_id": "25882273"}, {"ref": "vishalsharma235/mnist-digit-recognition-nn-670b20", "kernel_id": "25910177"}, {"ref": "kseporque/digits-recognizer-with-different-approaches", "kernel_id": "25935676"}, {"ref": "motloch/demonstrating-pseudolabelling-on-mnist", "kernel_id": "26371939"}, {"ref": "milkway/et645-autoencoders-2", "kernel_id": "26579080"}, {"ref": "aowada/mnist-notebook-adam", "kernel_id": "26840144"}, {"ref": "haqishen/simulate-background", "kernel_id": "26284844"}, {"ref": "garbo999/digit-recognizer-w-elliot", "kernel_id": "26103024"}, {"ref": "nnjjpp/digit-recognition-neural-network-classifier", "kernel_id": "26843764"}, {"ref": "akshat4112/t-sne-on-mnist", "kernel_id": "26356860"}, {"ref": "akshat4112/principal-component-analysis-on-mnist", "kernel_id": "26331231"}, {"ref": "harryulysses/digit-recognizer", "kernel_id": "26805780"}, {"ref": "tejasurya/cnn-resnet-from-scratch-top-10-0-1-2-3-4", "kernel_id": "26851162"}, {"ref": "div1996p/digit-recognizer-pytorch-0-96", "kernel_id": "26793510"}, {"ref": "pdenieves/digit-recognizer-cnn", "kernel_id": "26956885"}, {"ref": "sachinthadilshan/notebook1295e23596", "kernel_id": "26889376"}, {"ref": "jsxyhelu2019/digit-recognizer-fastaiv2", "kernel_id": "26310134"}, {"ref": "sgreiner/digit-recognizer-small-model", "kernel_id": "26477023"}, {"ref": "blank13/mnist-deep-neural-network-with-keras", "kernel_id": "26821640"}, {"ref": "athul3000/digit-recog-comparison-of-cnn-and-knn-t-sne", "kernel_id": "26691475"}, {"ref": "nancydrew/cnn-mnist-digits", "kernel_id": "26628464"}, {"ref": "rameshrallapalli/digit-recognizer", "kernel_id": "26324020"}, {"ref": "sgiuri/ml-pd-digits", "kernel_id": "26686787"}, {"ref": "georgeputhean/project-team-big-data", "kernel_id": "26750316"}, {"ref": "zmark10/digit-bench", "kernel_id": "26160642"}, {"ref": "sachinkumar413/cnn-keras-v1-0", "kernel_id": "26491918"}, {"ref": "selmanaka/mnist-tensorflow-exercise", "kernel_id": "26502444"}, {"ref": "nadezhda2019/mlp-example-telecom", "kernel_id": "26300837"}, {"ref": "ardip222/backprop-nn-on-digit-data", "kernel_id": "26081322"}, {"ref": "denis07/digit-recognization-pytorch", "kernel_id": "26273020"}, {"ref": "denis07/digit-recognization-tf", "kernel_id": "26273103"}, {"ref": "centyfanoarnold/digit-recognizer-using-cnn-and-imagedatagenerator", "kernel_id": "26904177"}, {"ref": "shreydan/digit-recognizer-pytorch-nn-beginner-0-97046", "kernel_id": "26022186"}, {"ref": "lonnieqin/mnist-cnn-recognizer-with-sonnet", "kernel_id": "26111876"}, {"ref": "ishantj/handwritten-digit-recognizer-on-mnist-dataset", "kernel_id": "26601372"}, {"ref": "koralkulacoglu/digitrecognizer", "kernel_id": "26990470"}, {"ref": "kevinajames/simple-deep-mlp-with-keras", "kernel_id": "26370579"}, {"ref": "mehmetramazanektirir/cnn-implementation", "kernel_id": "26024382"}, {"ref": "atulsharma287/digit-recognisor-nn", "kernel_id": "26972894"}, {"ref": "olaabdallah/neural-network-approach", "kernel_id": "26587226"}, {"ref": "olaabdallah/a-beginner-s-approach-to-classification", "kernel_id": "26569373"}, {"ref": "hamzakhld/0-98-accuracy-using-convolution-technique", "kernel_id": "26588125"}, {"ref": "mdnam2410/digit-recognizer", "kernel_id": "26479108"}, {"ref": "jiakangchen2/16th-meeting-template", "kernel_id": "26196714"}, {"ref": "hemasowjanyamamidi/mnist-conv", "kernel_id": "26527833"}, {"ref": "helgesander/pytorch-mnist", "kernel_id": "26254911"}, {"ref": "kgxiao/learn-pytorch-and-tf", "kernel_id": "26961329"}, {"ref": "kgxiao/pytorch-beginner", "kernel_id": "26512028"}, {"ref": "rickpcf/digit-recognizer-ricardo-paiva-cavalcante-filho", "kernel_id": "26669435"}, {"ref": "sihyunlee/normal-cnn-with-pytorch", "kernel_id": "26165898"}, {"ref": "sahilmadaan0204/notebook7e0f3ddabb", "kernel_id": "26997877"}, {"ref": "artem8verbov/pytorch-cnn-98-accuracy", "kernel_id": "26666645"}, {"ref": "calebreigada/tensorflow-image-classification-guide", "kernel_id": "26474090"}, {"ref": "rashid2048/digit-recognition-using-tensorflow", "kernel_id": "26784793"}, {"ref": "sujithanumala/digit-recognition-98-accurate-within-5s-runtime", "kernel_id": "26310456"}, {"ref": "renukadevird/digit-recognizer", "kernel_id": "26352589"}, {"ref": "darshitsharma2000/mnist", "kernel_id": "26908906"}, {"ref": "riyabisht/handdigitrecognition", "kernel_id": "26151535"}, {"ref": "sisharaneranjana/digit-recognition-with-cnn-kerastuner", "kernel_id": "26084461"}, {"ref": "bulter22/minst-cnn", "kernel_id": "26824720"}, {"ref": "sakshimishradata/mnist-classification-using-random-forest", "kernel_id": "26595410"}, {"ref": "chingiznurzhanov/digits-keras-cnn-acc-0-99564", "kernel_id": "26676041"}, {"ref": "chingiznurzhanov/digit-recognizer-rf-score-0-96325", "kernel_id": "26749894"}, {"ref": "kanishkpareek/digit-recognition", "kernel_id": "26467068"}, {"ref": "kdsharmaai/digit-recognizer-non-predicted-images-by-cnn", "kernel_id": "26253811"}, {"ref": "oguzsaglam/pytorch-mnist", "kernel_id": "26240743"}, {"ref": "alexey95/code-mnist-torch", "kernel_id": "26032388"}, {"ref": "pranjalsriv/mnist-data-augmentation-97-accuracy", "kernel_id": "26699177"}, {"ref": "mvlakshman/mnist-dataset-digit-recognizer", "kernel_id": "26813584"}, {"ref": "kamyaedrine/digit-recognizer-net", "kernel_id": "26739374"}, {"ref": "yusufbudak/convolutional-neural-network", "kernel_id": "26379672"}, {"ref": "th4tkh13m/digit-recognizer-with-tf-beginner", "kernel_id": "26437939"}, {"ref": "danielcoloma/pruebaceste-comparativa", "kernel_id": "26479260"}, {"ref": "danielcoloma/testmnist", "kernel_id": "26421360"}, {"ref": "raj401/resnet34cutmix-inference-mnist", "kernel_id": "26458476"}, {"ref": "raj401/exp3-mnist", "kernel_id": "26501562"}, {"ref": "raj401/exp2-mnist", "kernel_id": "26498945"}, {"ref": "raj401/exp7-mnist", "kernel_id": "26519668"}, {"ref": "raj401/exp6-mnist", "kernel_id": "26514723"}, {"ref": "raj401/resnet34-inference-mnist", "kernel_id": "26425948"}, {"ref": "raj401/inference-mnist", "kernel_id": "26362155"}, {"ref": "zocainviken/digit-recognition-svm", "kernel_id": "26925285"}, {"ref": "vidiqlogy/digit-recognizer", "kernel_id": "26499486"}, {"ref": "beardslt/minimal-mnist-example", "kernel_id": "26510573"}, {"ref": "beardslt/minimal-mnist-main-example", "kernel_id": "26961596"}, {"ref": "michaelrocchio/easy-keras-examples-7-3-8", "kernel_id": "26540217"}, {"ref": "andreamontemurro/lenet-tf-mnist", "kernel_id": "26129239"}, {"ref": "sasidharreddyvajrala/notebook9d9b3144ab", "kernel_id": "26960642"}, {"ref": "wesleysilvaalves/digit-recognizer", "kernel_id": "26863038"}, {"ref": "somildh/digit-recognizer-using-sequential-api-keras", "kernel_id": "26889303"}, {"ref": "rhythmcam/digit-recognizer-using-imagedatagenerator", "kernel_id": "26885061"}, {"ref": "weirdblink/digit-recognizer", "kernel_id": "26779157"}, {"ref": "sujvalrai/digit-recognizer", "kernel_id": "26613357"}, {"ref": "asdpod/nn-backprop-by-hand", "kernel_id": "26129641"}, {"ref": "achmadnoer/digit-recognizer-with-cnn-data-augmentation", "kernel_id": "26764780"}, {"ref": "shahrushabh/mnist-stacked-autoencoder", "kernel_id": "26436263"}, {"ref": "akanshakhandelwal08/digit-recognizer-cnn", "kernel_id": "26994756"}, {"ref": "aryamazloomi/digit-rec", "kernel_id": "26727328"}, {"ref": "nainapandey96/cnn-starter-with-mnist", "kernel_id": "26143279"}, {"ref": "jorengijsbrechts/apa-w2-cnn", "kernel_id": "26047262"}, {"ref": "juliustabery/surprisingly-accurate-for-how-simple-it-is", "kernel_id": "26853287"}, {"ref": "venisatewu/handwritten-digits-recognition-using-svm-algorithm", "kernel_id": "26738186"}, {"ref": "hristinaaleksandrova/digit-recognizer-notebook-accuracy-0-97", "kernel_id": "26663067"}, {"ref": "mareism/low-dimensional-approximation-by-pca-on-mnist", "kernel_id": "26491134"}, {"ref": "sohailmasood/mnist-using-cnn-accuracy-98-5", "kernel_id": "26276223"}, {"ref": "orangecatman/scikit-learn-william", "kernel_id": "26658250"}, {"ref": "shaikmunna/digit-recognition", "kernel_id": "26483858"}, {"ref": "dsxavier/mnist-getting-start-with-cv-with-pytorch-f1-0-99", "kernel_id": "26091249"}, {"ref": "ahedjneed/mnist-with-fastai", "kernel_id": "26592297"}, {"ref": "uditsharma72/mnist-digit-recognizer-acc-96", "kernel_id": "26740404"}, {"ref": "frozengymnast/digit-recognizer-using-cnn", "kernel_id": "26128538"}, {"ref": "spyrosrigas/pytorch-cnn-for-digit-recognition", "kernel_id": "26157954"}, {"ref": "mlope305/digit-dataa1", "kernel_id": "26498477"}, {"ref": "arnavr10880/cnn-ensemble-for-better-accuracy-99-5", "kernel_id": "26761349"}, {"ref": "natanclouzada/nn-digit-recognizer-pandas-numpy-and-math", "kernel_id": "26273782"}, {"ref": "willianhaeberlin/simple-multilayer-percetpron-application", "kernel_id": "26703331"}, {"ref": "greshmapk/digit-recognizer", "kernel_id": "26070665"}, {"ref": "parvathicg/digit-recoginizer", "kernel_id": "26070327"}, {"ref": "simonedangelo/digit-recognizer-basic-model", "kernel_id": "26264934"}, {"ref": "bnshivadattakumar/interactive-intro-to-dimensionality-reduction", "kernel_id": "26347021"}, {"ref": "yunkangxiao/0-995-small-cnn-net-dropout", "kernel_id": "26601910"}, {"ref": "bhavishs28/digit-recognizer", "kernel_id": "26108549"}, {"ref": "shruthimshruthim/digit-recognizer", "kernel_id": "26408645"}, {"ref": "husnakhan/digit-recognizer", "kernel_id": "26070325"}, {"ref": "hquchphthnh/digit-recognizer", "kernel_id": "26066622"}, {"ref": "bhutbhavya/sequential", "kernel_id": "26582568"}, {"ref": "ahmedameenhassan/digit-recognizer", "kernel_id": "26070218"}, {"ref": "movaliyajaykumar/19bce134-mnist-cnn", "kernel_id": "26084967"}, {"ref": "movaliyajaykumar/19bce134-mnist-ann1", "kernel_id": "26084737"}, {"ref": "suprithahalesh/digit-recognizer", "kernel_id": "26096116"}, {"ref": "nizarkarkar/digit-recog-with-details", "kernel_id": "26433066"}, {"ref": "darkwyvern/digit-recognizer-pca-svm", "kernel_id": "26373093"}, {"ref": "preethamganiga/digit-recognizer", "kernel_id": "26106488"}, {"ref": "bhattdevansh/kaggle-hdr", "kernel_id": "26799404"}, {"ref": "supersecurehuman/mnist-lenet-val-acc-99-63-at-23rd-epoch", "kernel_id": "26065774"}, {"ref": "shailshah611/irs-prac10", "kernel_id": "26834700"}, {"ref": "aayush349/dl-p7-stacked-autoencoder", "kernel_id": "26920539"}, {"ref": "pooja42/irs-practical-10", "kernel_id": "26855651"}, {"ref": "mistrysunny/19bce131-cnn", "kernel_id": "26095632"}, {"ref": "mistrysunny/19bce131-ann", "kernel_id": "26083903"}, {"ref": "wuyunjia/deep-learning-from-scratch", "kernel_id": "26243128"}, {"ref": "abhishek123maurya/digit-classifiers", "kernel_id": "26054964"}, {"ref": "ruslanbredun/what-are-classification-metrics-and-how-it-works", "kernel_id": "26821570"}, {"ref": "ruslanbredun/digit-recognition-0-99-score-cnn", "kernel_id": "26588525"}, {"ref": "harshikashrivastava/mnist-classification-using-random-forest", "kernel_id": "26898126"}, {"ref": "harshikashrivastava/mnist-using-random-forest", "kernel_id": "26595148"}, {"ref": "pedrogmfernandes/regress-o-linear", "kernel_id": "26274448"}, {"ref": "aromadsouza/digit-recognizer-mnist-dataset", "kernel_id": "26070382"}, {"ref": "arpithadata/mnistclassificationusingrandomforestalphabets", "kernel_id": "26596959"}, {"ref": "nicoladare/digit-test", "kernel_id": "26686963"}, {"ref": "pavaniedara/hand-written-digit-recognition-using-cnn", "kernel_id": "26384681"}, {"ref": "tranduchuy2107/convolutional-neural-network-cnn-tutorial", "kernel_id": "26495198"}, {"ref": "biraj21/digit-recognizer", "kernel_id": "26668540"}, {"ref": "miinee/digit-recognizer", "kernel_id": "26922772"}, {"ref": "aishasana/digit-recognizer", "kernel_id": "26070173"}, {"ref": "alexishenko/pytorch-digit-recognizer-cnn", "kernel_id": "26563598"}, {"ref": "stephanievelezrph/learning-digit-recognizer", "kernel_id": "26457073"}, {"ref": "thomasflahault/mnist-convmixer", "kernel_id": "26861112"}, {"ref": "vishalsharma235/mnist-digit-recognition-nn", "kernel_id": "26135511"}, {"ref": "nuttunyodsanga/convolutional-neural-network-for-digits-recognizer", "kernel_id": "26791981"}, {"ref": "juanbadaldesportes/digitrecognizer-4-layer-cnn-with-data-augmentation", "kernel_id": "26613848"}, {"ref": "wag1m8/apa-w1", "kernel_id": "26391095"}, {"ref": "wag1m8/apa-w2-cnn-final", "kernel_id": "26237422"}, {"ref": "thikhuyenle/lenet-model-with-mnist-recognition", "kernel_id": "26108364"}, {"ref": "nguyenbahuy/btvn-cifar100", "kernel_id": "26857116"}, {"ref": "jayanthic/digit-identification", "kernel_id": "26582704"}, {"ref": "guilhermetheanalyst/apa-w1", "kernel_id": "26161644"}, {"ref": "l1ter4lly/digit-recognizer", "kernel_id": "26214494"}, {"ref": "zacheenoao/tensorflow-cnn-tutorial-optimize", "kernel_id": "26410858"}, {"ref": "kekada/beadando-szamfelismeres", "kernel_id": "26365578"}, {"ref": "chenyangwang666/chenyang-wang-mnist", "kernel_id": "26507115"}, {"ref": "aluiziopires/guto-pires-digit-recognition", "kernel_id": "26509895"}, {"ref": "paloisdeter/notebookf47f721cf2", "kernel_id": "26534679"}, {"ref": "yentinglin0307/digit-recognizer", "kernel_id": "26579456"}, {"ref": "rebecaalbuquerke/digit-recognizer-rebeca", "kernel_id": "26613177"}, {"ref": "tommasopaolino/notebook6da7582e94", "kernel_id": "26686795"}, {"ref": "emanueleostanello/ml-pd-ostanello", "kernel_id": "26686812"}, {"ref": "marcodeboni02/digits", "kernel_id": "26686792"}, {"ref": "mattiacallegaro02/ml-pd-digits-grosso", "kernel_id": "26686789"}, {"ref": "hug000/digit-recognizer-convolution", "kernel_id": "26836052"}, {"ref": "ankybhadauria/image-classifier-using-mnist", "kernel_id": "26829179"}, {"ref": "efepinar/pure-pytorch-model-easy-to-run-code-93-8-acc", "kernel_id": "27240399"}, {"ref": "ripcurl/2-digit-classifier-v2", "kernel_id": "27982340"}, {"ref": "ripcurl/2-digits-classification", "kernel_id": "27709649"}, {"ref": "hobbsaustin/pytorch-try", "kernel_id": "27311765"}, {"ref": "vikkach/xgboost-digits-recognition", "kernel_id": "27368697"}, {"ref": "zjjc123/mnist-classification-gpu-tpu-0-99439", "kernel_id": "27527851"}, {"ref": "dlarionov/sirius-digit-recognizer", "kernel_id": "27706432"}, {"ref": "pdenieves/digit-recognizer-cnn-augmentation", "kernel_id": "27147794"}, {"ref": "ollyrennard/logistic-regression-attempt", "kernel_id": "27763150"}, {"ref": "jagdmir/digit-recognizer-ann-cnn-cnn-ensemble-top-8", "kernel_id": "27988740"}, {"ref": "ravit2839/mnist-classification-int", "kernel_id": "27344917"}, {"ref": "amss10/digit-classifier-with-conv-neural-net", "kernel_id": "27976407"}, {"ref": "abubakar11/notebook210e30777f", "kernel_id": "27657350"}, {"ref": "sushovansaha9/mnist-cnn-pytorch", "kernel_id": "27082925"}, {"ref": "sukeshtech17/digit-recogniser-beginners-99-5-acc", "kernel_id": "27730210"}, {"ref": "siddharthmandgi/digit-recognizer-above-0-99-score", "kernel_id": "27202480"}, {"ref": "wuxinyun/py-mnist-digit-recognizer-notebook", "kernel_id": "27291787"}, {"ref": "alisonyao/digit-recognizer-eda", "kernel_id": "27327807"}, {"ref": "manishlapasi/cnn-digit-recognizer", "kernel_id": "27909568"}, {"ref": "taranmarley/lenet-1-1989-technology", "kernel_id": "27920137"}, {"ref": "tauilabdelilah/generate-minist-with-simple-gan", "kernel_id": "27520816"}, {"ref": "antonalexandrin/xai-xai", "kernel_id": "27447931"}, {"ref": "maxdanylewitch/mnist-with-keras", "kernel_id": "27992653"}, {"ref": "amandajudyandrade/mnist-digit-classification-notebook-ml", "kernel_id": "27383783"}, {"ref": "koralkulacoglu/digit-recognition-contest", "kernel_id": "27043760"}, {"ref": "austenjeremysugiarto/mnist-competition", "kernel_id": "27453894"}, {"ref": "hanselliott/mnist-neural-net-from-scratch", "kernel_id": "27530007"}, {"ref": "kanisfatemashanta/visualizing-mnist-using-a-variational-autoencoder", "kernel_id": "27367280"}, {"ref": "saritham/pca-demo", "kernel_id": "27359159"}, {"ref": "learningnotes/simple-mnist-nn-from-scratch", "kernel_id": "27828007"}, {"ref": "jagannathmanchiraju/cse010", "kernel_id": "27990777"}, {"ref": "marioshadjiantonis/digitrecognizer", "kernel_id": "27967560"}, {"ref": "kuhelisen/mnist-cnn-99-4-acc", "kernel_id": "27834763"}, {"ref": "halitb/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "27366041"}, {"ref": "erikmanukyan/handwritten-digit-recognition", "kernel_id": "27636101"}, {"ref": "timurhukmatov/mnist", "kernel_id": "27604129"}, {"ref": "arunasivapragasam/0-1-2-3-pca-4-5-6-7", "kernel_id": "27459402"}, {"ref": "sgdoc7/handwritten-digit-recognizer", "kernel_id": "27339517"}, {"ref": "pythonkumar/onlymachinelearning-voting-classifier-acc-97", "kernel_id": "27151752"}, {"ref": "ayns123/digit-recognizer-with-cnn-acc-98", "kernel_id": "27141785"}, {"ref": "gfxtaha/mnist-project", "kernel_id": "27037774"}, {"ref": "jarredpriester/my-first-cnn", "kernel_id": "27308427"}, {"ref": "victoragbesi/neaural-networks-without-tf-python", "kernel_id": "27614067"}, {"ref": "pranjalsriv/data-visualization-using-t-sne-and-pca", "kernel_id": "27292964"}, {"ref": "romanderunets/mnist-numpy-with-conv-layers-from-scratch", "kernel_id": "27587496"}, {"ref": "igorprikhodko/classification-cnn-digit-recognizer", "kernel_id": "27991899"}, {"ref": "priyanagda/mnist-cnn-0-99185-score", "kernel_id": "27003718"}, {"ref": "beardslt/cnn-mnist-example", "kernel_id": "27742450"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "larryzxai/mnist", "kernel_id": "27590901"}, {"ref": "felipebezerrabarbosa/deep-learning-computer-vision-mnist", "kernel_id": "27050772"}, {"ref": "arijitsau/digit-recognizer", "kernel_id": "27317764"}, {"ref": "jeffackitch1/digit-recog", "kernel_id": "27646988"}, {"ref": "nonrice/digit-recognizer", "kernel_id": "27906219"}, {"ref": "karlpetz/simple-deep-learning-mnist-model", "kernel_id": "27997567"}, {"ref": "mitishaagarwal/dimensionality-reduction-vae-int", "kernel_id": "27320126"}, {"ref": "mitishaagarwal/variational-autoencoder-on-mnist-int", "kernel_id": "27215776"}, {"ref": "mitishaagarwal/mnist-classification-dnn-cnn-int", "kernel_id": "27110455"}, {"ref": "ramniwashkumar/digit-rocognizer-cnn", "kernel_id": "27881911"}, {"ref": "zplusdragon/digit-recognizer-resnet18", "kernel_id": "27956703"}, {"ref": "imperio59/mnist-submission-99-85-score-using-simple-cnn", "kernel_id": "27748375"}, {"ref": "mohittomar2008/pca-and-regularization-technique", "kernel_id": "27918353"}, {"ref": "srivatsas05/digit-recognizer-voting-classifier", "kernel_id": "27008559"}, {"ref": "maryiaznak/mnist-keras-cnn", "kernel_id": "27483367"}, {"ref": "maryiaznak/mnist-pytorch-cnn", "kernel_id": "27399257"}, {"ref": "arnavr10880/interpreting-mnist-cnn-model-with-cam", "kernel_id": "27525684"}, {"ref": "alok15ranjan/notebook63640116d1", "kernel_id": "27592284"}, {"ref": "sameerudgirkar/digit-recognizer-with-svm-pca-t-sne", "kernel_id": "27802397"}, {"ref": "uppulurimadhuri/optimized-version-using-keras", "kernel_id": "27087015"}, {"ref": "uppulurimadhuri/mnist-dataset-using-keras-api", "kernel_id": "27078544"}, {"ref": "uppulurimadhuri/mnist-dataset-using-conv-nets-and-functional-api", "kernel_id": "27211478"}, {"ref": "samuelcortinhas/a-piece-of-history-lenet-5-alexnet-from-scratch", "kernel_id": "27705800"}, {"ref": "yy5022/digit-recognizer-simple-cnn", "kernel_id": "27387908"}, {"ref": "yy5022/mnist-cnn", "kernel_id": "27388480"}, {"ref": "yy5022/cnn-mnist", "kernel_id": "27413349"}, {"ref": "rodionshkokov/hand-made-neural-network-on-mnist", "kernel_id": "27590344"}, {"ref": "roy2004/neural-network-from-scratch-xor-problem", "kernel_id": "27870635"}, {"ref": "asmaabdolahpoor/digit-recognizer-svm-keras-score-99", "kernel_id": "27100695"}, {"ref": "tw544814347/digits-rec", "kernel_id": "27007811"}, {"ref": "ngphngnam2002/mnist-kmeans", "kernel_id": "27365856"}, {"ref": "vick3788/mnist-cnn-with-acc-98-5", "kernel_id": "27310310"}, {"ref": "tiantengwang/convolutional-neural-network-cnn-example", "kernel_id": "27414387"}, {"ref": "kuchhbhi/mnist-image-classification-using-ann-98", "kernel_id": "27430975"}, {"ref": "sosheand/mnist-final", "kernel_id": "27507149"}, {"ref": "sosheand/mnist-class", "kernel_id": "27557749"}, {"ref": "llnovall/pytorch-digit-recognizer", "kernel_id": "27179538"}, {"ref": "darkwyvern/digit-recognizer-cnn", "kernel_id": "27107586"}, {"ref": "alexeyshakov/pic-classif-mnist", "kernel_id": "27361353"}, {"ref": "abdalrahmanshahrour/digit-recognizer-top-2", "kernel_id": "27064351"}, {"ref": "reemaljaber/ensemble-practice-neural-network-2", "kernel_id": "27293704"}, {"ref": "alogomachine/alexnet-digit-recognizer", "kernel_id": "27359738"}, {"ref": "frankschindler1/digit-recognition-mnist-with-neural-network-98", "kernel_id": "27393511"}, {"ref": "dapin1490/urop-cnn-example-study", "kernel_id": "27439599"}, {"ref": "paulmaitre/mnist-pm", "kernel_id": "27172524"}, {"ref": "rugvedmanoorkar/question-3-minst-digit-recognizer", "kernel_id": "27344311"}, {"ref": "sabinanurdolotova/zero-task", "kernel_id": "27506459"}, {"ref": "tanakritngamnun/test-tensorflow-cnn", "kernel_id": "27319209"}, {"ref": "muhannadmansour/digit-recognizer-cnn-model", "kernel_id": "27050430"}, {"ref": "biraj21/lenet-5", "kernel_id": "27668869"}, {"ref": "aratab/mnist-using-cnn-inception", "kernel_id": "27163519"}, {"ref": "riccardobollati01/ensemble-learning-lenet-5-on-mnist-99-325-accuracy", "kernel_id": "27706282"}, {"ref": "royanshul/erc-induction-assignment-mnist-classifier", "kernel_id": "27040381"}, {"ref": "apoorvauplap/mnist-digit-recognizer", "kernel_id": "27373780"}, {"ref": "rocode35/digit-recognition", "kernel_id": "27073220"}, {"ref": "alexanderyyy/mnist-fastai", "kernel_id": "27923709"}, {"ref": "werus23/digit-recognizer-keras-gpu", "kernel_id": "27206203"}, {"ref": "chetan723/notebook7af4218545", "kernel_id": "27295111"}, {"ref": "madhurk2511/mnist-introduction-to-computervision-with-pytorch", "kernel_id": "27432820"}, {"ref": "jatinmotwani12/implementation-of-vgg16-v2", "kernel_id": "27112468"}, {"ref": "laurinschaller/mnist-cnn-0-99", "kernel_id": "27211164"}, {"ref": "hpchagas/digit-recognition-0-98235-dnn-with-instructions", "kernel_id": "27713375"}, {"ref": "saurabhprajapat/digit-recogniser-solution-competition-rank-8th", "kernel_id": "27573243"}, {"ref": "parroly1908/cnn-identificar-n-meros", "kernel_id": "27306915"}, {"ref": "quandang1210/handwritingrecognizeqd", "kernel_id": "27270680"}, {"ref": "easkwon/mnist-database-reccognize", "kernel_id": "27236985"}, {"ref": "cod10phile/mnist-stacking-cnn-keras", "kernel_id": "27297880"}, {"ref": "cod10phile/mnist-dl-keras", "kernel_id": "27243474"}, {"ref": "ranamrabee/svm-digit-recognizer", "kernel_id": "27823120"}, {"ref": "vincentxing/digit-recognition", "kernel_id": "27388250"}, {"ref": "neopoleones/top-10-augmentation-cnn", "kernel_id": "27818036"}, {"ref": "mingyuwang1/digitrecongnizer-using-cnn", "kernel_id": "27526558"}, {"ref": "rafaelkrzonkalla/identifica-o-de-d-gitos", "kernel_id": "27574260"}, {"ref": "ashainx/mnist-nn", "kernel_id": "27750020"}, {"ref": "someshranjan/notebooka1810af18a", "kernel_id": "27971501"}, {"ref": "frothgar/digit-recognizer", "kernel_id": "27804880"}, {"ref": "baekjj/simple-mnist-classifier-with-just-numpy", "kernel_id": "27950526"}, {"ref": "ranydwicahyaningtyas/inclass-keras-day-1", "kernel_id": "27957832"}, {"ref": "athews/mnist-tf-mlp-vs-cnn-vs-transfer-learning", "kernel_id": "28586191"}, {"ref": "ripcurl/4-machine-learning-classification-basics", "kernel_id": "28352221"}, {"ref": "ripcurl/3-machine-learning-classification-ipynb", "kernel_id": "28166684"}, {"ref": "rama3282/mnist-using-simpleann-baseline-pytorch", "kernel_id": "28405826"}, {"ref": "habibmrad1983/welcome-to-deep-learning-cnn-99", "kernel_id": "28618013"}, {"ref": "waldemar/super-easy-introduction-to-kaggle-directories", "kernel_id": "28938171"}, {"ref": "capslock/resnet-34-art-of-hyperparam-tuning", "kernel_id": "28277156"}, {"ref": "soheiltehranipour/digit-recognizer-solution-deep-learning", "kernel_id": "28534539"}, {"ref": "jagdmir/how-to-write-and-read-tfrecords", "kernel_id": "28628206"}, {"ref": "viniciuslima/digit-recognizer-with-mlp", "kernel_id": "28298081"}, {"ref": "shalaby97/mnist-digits-classification-using-cnn-99", "kernel_id": "28520140"}, {"ref": "armandsauzay/keras-all-you-need-to-know", "kernel_id": "28322669"}, {"ref": "armandsauzay/pytorch-quickstart", "kernel_id": "28417097"}, {"ref": "guanpin51/digit-recognization-with-keras", "kernel_id": "28946049"}, {"ref": "bavrabi/freeman-chain-code-second-attempt", "kernel_id": "28277499"}, {"ref": "abhikuks/pca-step-by-step-demo-for-beginners", "kernel_id": "28376460"}, {"ref": "ridhanf/ann-from-scratch", "kernel_id": "28044582"}, {"ref": "zaber666/mnist-challenge", "kernel_id": "28295578"}, {"ref": "songwonmin/for-korean-lenet", "kernel_id": "28056146"}, {"ref": "prjge1/jax-cnn-0-97", "kernel_id": "28798060"}, {"ref": "taranmarley/tiny-encoder-network-3740-parameters", "kernel_id": "28268579"}, {"ref": "yeonseokcho/digital-image-classification-by-neural-network", "kernel_id": "28479571"}, {"ref": "shreydan/training-with-pytorch-lightning-0-98746", "kernel_id": "28326215"}, {"ref": "prathishmurugan/cnn-for-beginners-98-keras", "kernel_id": "28669851"}, {"ref": "taos2000/mnist-cnn-vgg16-lenet-5", "kernel_id": "28912187"}, {"ref": "myominhtet/digit-recognizer-using-cnn-with-pytorch", "kernel_id": "28604648"}, {"ref": "hanselliott/mnist-rnn-vs-cnn-tf", "kernel_id": "28201784"}, {"ref": "nurullahahin/cnn-digit-learn", "kernel_id": "28042812"}, {"ref": "souravkrshukla/simple-cnn", "kernel_id": "28315661"}, {"ref": "moatazbellahahmed/digit-recognizer", "kernel_id": "28489340"}, {"ref": "datakagglesem/mnist-handwritten-digit-with-svm", "kernel_id": "28165210"}, {"ref": "shamiljamion/lenet-cnn-implementation", "kernel_id": "28818346"}, {"ref": "rahulgolder/custom-mnist-tensorflow", "kernel_id": "28180957"}, {"ref": "pasuvulasaikiran/pytorch-tez-digit-recognizer-resnet", "kernel_id": "28737208"}, {"ref": "abdulaziz04/mnist-using-randomforests-and-cnns", "kernel_id": "28148703"}, {"ref": "mesofianeyou/handwritten-digit-recognition-with-cnn", "kernel_id": "28809402"}, {"ref": "jarredpriester/2nd-attempt-mnist-accuracy-99", "kernel_id": "28109984"}, {"ref": "parthabera/digit-recognizer-tensorflow", "kernel_id": "28278561"}, {"ref": "brendanprichards/cnn-with-some-augmentation", "kernel_id": "28263837"}, {"ref": "tgslash/digit-recognizer-cnn", "kernel_id": "28775558"}, {"ref": "tgslash/digit-recognizer-fully-connected-network-97-7", "kernel_id": "28760378"}, {"ref": "chandanakuntala/digit-recognizer-ann-99-acc", "kernel_id": "28618553"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "noelsudhish/mnist-digit-recog", "kernel_id": "28211723"}, {"ref": "davidhjek/mnist-keras", "kernel_id": "28435122"}, {"ref": "ismailelbouknify/deep-learning-with-sklearn-mlp-classifier", "kernel_id": "28344948"}, {"ref": "rajasreer/convolutional-neural-network-cnn-tutorial", "kernel_id": "28111708"}, {"ref": "shrutimathew/digit-recognizer-using-cnn", "kernel_id": "28694671"}, {"ref": "praxeologist/scattering2d-redunet-only-5000-training-samples", "kernel_id": "28767284"}, {"ref": "shivamtaneja2304/cnn-digit-classifier-99-9", "kernel_id": "28462051"}, {"ref": "ahmedgamal12/digit-cnn-classifier", "kernel_id": "28928070"}, {"ref": "mahmoudftolba/mnist-using-cnn-architectures", "kernel_id": "28179636"}, {"ref": "iketuba/digit-recognizer-2022-06-25", "kernel_id": "28233393"}, {"ref": "abdulghaffaransari/digit-recognizer-0-98", "kernel_id": "28770651"}, {"ref": "ashmalvayani/resnet50-transferlearning", "kernel_id": "28339810"}, {"ref": "atenavakili/digit-recognizer-solution-deep-learning", "kernel_id": "28766276"}, {"ref": "yakupbilen/mnist-digit-cnn", "kernel_id": "28198836"}, {"ref": "emrearslan123/digit-recognizer-cnn-keras", "kernel_id": "28454147"}, {"ref": "rm1000/basic-cnn-model-with-imagedatagenerator", "kernel_id": "28236609"}, {"ref": "jvachier/classification-with-neural-network-using-numpy", "kernel_id": "28402616"}, {"ref": "jvachier/classification-with-neural-network-adam-numpy", "kernel_id": "28644423"}, {"ref": "parkjohnychae/quick-and-painless-99-2-mnist-model-150k-param", "kernel_id": "28735722"}, {"ref": "banerz/pytorch-cnn-pointwise-conv-layers-loss-0-0012", "kernel_id": "28962724"}, {"ref": "benjaminallen24/cnn-digit-recognition", "kernel_id": "28653078"}, {"ref": "alaeddinehamroun/multi-column-dnns-for-image-classification", "kernel_id": "28076811"}, {"ref": "liuta0/digit-recognizer", "kernel_id": "28109609"}, {"ref": "olcayhankorkut/digit-recognizer", "kernel_id": "28802950"}, {"ref": "abdelrhamanfakhry/deep-learning-mnist-data", "kernel_id": "28439218"}, {"ref": "suyashsunilraomorale/handwritten-digit-recognization", "kernel_id": "28033002"}, {"ref": "taufiqtusar/image-segmentation-u-net", "kernel_id": "28984730"}, {"ref": "kazushiadachi/autoencoder-and-variational-autoencoder-tutorial", "kernel_id": "28662129"}, {"ref": "mahahussien/fork-of-cnn-fine-tuning-classification-96-57", "kernel_id": "28434211"}, {"ref": "tonyrubanrajraja/digit-recognition-using-cnn", "kernel_id": "28583531"}, {"ref": "waynewhying/digit-recognizer-cnn-pytorch", "kernel_id": "28374029"}, {"ref": "waynewhying/digit-recognizer-mobilenetv3-pytorch", "kernel_id": "28677547"}, {"ref": "sandeepmnair/digi-recognition-using-dnn", "kernel_id": "28388861"}, {"ref": "sindhuinti/digit-rec-1", "kernel_id": "28823658"}, {"ref": "prateetichinchore/digitrecognizer1", "kernel_id": "28917428"}, {"ref": "azzamohamed/mnist-digits", "kernel_id": "28034716"}, {"ref": "kareemusama/mnist-using-numpy-1-10-neuron-hidden-layer", "kernel_id": "28842860"}, {"ref": "ziadhamadafathy/using-some-classifiers-models-of-ml", "kernel_id": "28548171"}, {"ref": "imbikramsaha/mnist-digit-recognize-with-fast-ai-loss-0-00625", "kernel_id": "28737141"}, {"ref": "pavankumar20/mnist-complete-analysis", "kernel_id": "28213776"}, {"ref": "oliverkangshilong/digit-recognizer-kang", "kernel_id": "28655764"}, {"ref": "abdulrehmankaggle/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "28334104"}, {"ref": "rumbleftw/98-89-cnn-with-filters-visualization", "kernel_id": "28647458"}, {"ref": "abdelrahimabdelazim/achieving-accuracy-of-96-8-without-deep-learning", "kernel_id": "28991844"}, {"ref": "fburaschi/digits-classification-using-keras", "kernel_id": "28634744"}, {"ref": "imrises/mnist-ml-svc-99", "kernel_id": "28217862"}, {"ref": "zakariajoudar/cnn-digit-recognizer", "kernel_id": "28364920"}, {"ref": "itsmohammadshahid/7-cnn-handwritten-digit-recognition", "kernel_id": "28301313"}, {"ref": "itsmohammadshahid/digit-recognizer-with-extended-mnist-acc-99-5", "kernel_id": "28501987"}, {"ref": "usamabalochhh/image-processing-full-explained-with-eda", "kernel_id": "28909263"}, {"ref": "rahulvarmac/basic-mlp-digit-recognizer", "kernel_id": "28071004"}, {"ref": "deslumoprime/notebookada8d4f093", "kernel_id": "28762687"}, {"ref": "vedantgulve/digit-recognizer-cnn", "kernel_id": "28301205"}, {"ref": "mridulviralka/cnn-vgg16-alexnet-lenet-resnet50-inception", "kernel_id": "28207056"}, {"ref": "mridulviralka/mnist-cnn-algorithm-lenet-99-4", "kernel_id": "28142044"}, {"ref": "akashkotal/99-mnist-digits-classification", "kernel_id": "28646955"}, {"ref": "edwardlouis/mnist-submission", "kernel_id": "28179600"}, {"ref": "lucasportodealmeida/digit-recognizer-with-ann-accuracy-0-97628", "kernel_id": "28469922"}, {"ref": "yousofnanis/number-recognition-using-keras", "kernel_id": "28427115"}, {"ref": "mackstathis/mnist-cnn", "kernel_id": "28105203"}, {"ref": "tirzamatulatuwa/mnist-handwritten-digit-with-svm-7504", "kernel_id": "28165598"}, {"ref": "ratneshkumarratan/digit-recognization", "kernel_id": "28211625"}, {"ref": "corazon17/digit-recognition-using-cnn-99-accuracy", "kernel_id": "28815453"}, {"ref": "angellv/mnist-kg", "kernel_id": "28202062"}, {"ref": "kinjalakpathak/notebookbf334b400c", "kernel_id": "28201836"}, {"ref": "calebelino/implementing-simple-dnn-from-scratch", "kernel_id": "28049882"}, {"ref": "aaroncg26/digit-recognizer-using-custom-cnn", "kernel_id": "28734582"}, {"ref": "davidberghaus/mnist", "kernel_id": "28185495"}, {"ref": "aneesh10/digit-recognizer-pytorch", "kernel_id": "28340145"}, {"ref": "duyhoang156/neuralnetwork", "kernel_id": "28294308"}, {"ref": "cashfeg/digit-recognizer-randomforest", "kernel_id": "29056092"}, {"ref": "milkway/drrecog", "kernel_id": "29099933"}, {"ref": "naubergois/introduction-to-gans-with-keras", "kernel_id": "29477752"}, {"ref": "teddylee777/machine-learning-day2", "kernel_id": "29878690"}, {"ref": "dwoodlock/ml201-notebook1-data-exploration-start", "kernel_id": "29823854"}, {"ref": "dwoodlock/ml201-notebook2-logistic-regression-start", "kernel_id": "29879035"}, {"ref": "dwoodlock/ml201-notebook3-neural-network-start", "kernel_id": "29879279"}, {"ref": "dwoodlock/ml201-notebook4-convolutional-network-start", "kernel_id": "29879369"}, {"ref": "dwoodlock/ml201-notebook5-final-after-all-exercises", "kernel_id": "29879451"}, {"ref": "ollyrennard/nn-implementation", "kernel_id": "29485313"}, {"ref": "raqhea/visualizing-cnn-activations-gradcam-tutorial", "kernel_id": "29712415"}, {"ref": "khotijahs1/track-ml-experiments-with-truefoundry", "kernel_id": "29089675"}, {"ref": "stpeteishii/mnist-lgbm-predict-and-visualize-importance", "kernel_id": "29523047"}, {"ref": "stg44g3g36hk416hk417/mnist-pytorch-score-0-99628", "kernel_id": "29842210"}, {"ref": "ihsncnkz/my-first-convolutional-neural-network-cnn-work", "kernel_id": "29744648"}, {"ref": "rishabhkausish/digit-recognizer-by-rkausish", "kernel_id": "29296628"}, {"ref": "vsmirn00/digit-recognizer", "kernel_id": "29689586"}, {"ref": "prjge1/vit-64layers-heads-16-embed-512-jax-dm-haiku", "kernel_id": "29294295"}, {"ref": "taranmarley/gan-experiment", "kernel_id": "29352493"}, {"ref": "pmassouf/simple-knn-0-96-accuracy", "kernel_id": "29486185"}, {"ref": "katia2145/mnist", "kernel_id": "29305342"}, {"ref": "axlebucamp/mmist-test-memory-down-sampling", "kernel_id": "29735338"}, {"ref": "abdulbasitniazi/pytorch-feedforwad-network-explained-for-beginners", "kernel_id": "29041062"}, {"ref": "billint/very-simple-pytorch-baseline-for-beginner", "kernel_id": "29141313"}, {"ref": "dongbinna/digit-recognition-with-pytorch-cnn", "kernel_id": "29375626"}, {"ref": "amanymaayah/mnist-classification-using-ml", "kernel_id": "29162299"}, {"ref": "imranulhaquenoor/pca-digit-mnist", "kernel_id": "29459614"}, {"ref": "sinclairg/digit-recognition-model-comparison", "kernel_id": "29018775"}, {"ref": "helgesander/mnist-pytorchlightning", "kernel_id": "29988489"}, {"ref": "abdullahfazili/main1", "kernel_id": "29934675"}, {"ref": "umangsavani/digit-recognizer-with-cnn-for-beginner", "kernel_id": "29221266"}, {"ref": "yefimsokolov/simple-cnn-lenet-5-pytorch", "kernel_id": "29871090"}, {"ref": "yefimsokolov/simple-nn-pytorch", "kernel_id": "29715701"}, {"ref": "ayushrathi47/digit-recognizer-using-tensorflow-cnn", "kernel_id": "29144676"}, {"ref": "kaledhoshme/digit-recognizer-cnn-acc-100", "kernel_id": "29925793"}, {"ref": "cyrilbourgeois/convolution-tests", "kernel_id": "29491237"}, {"ref": "saharshlaud/handwritten-charachter-recognition", "kernel_id": "29198268"}, {"ref": "chidubemndukwe/mnist-basic-neural-network-from-scratch", "kernel_id": "29302737"}, {"ref": "ahmetcalis/vectorized-implementation-of-nn-w-numpy", "kernel_id": "29550277"}, {"ref": "rohanprospects/simple-covnet", "kernel_id": "29375154"}, {"ref": "tysonhayes/mnist-gan", "kernel_id": "29153307"}, {"ref": "pragya1110/digit-recoganizer-using-cnn-accuracy-99", "kernel_id": "29368753"}, {"ref": "mouckeytoumoulongui/get-started-cnn", "kernel_id": "29745526"}, {"ref": "raj401/image-feature-extraction-using-rl", "kernel_id": "29152917"}, {"ref": "ranxi169/digit-recognizer-with-cnn-for-beginner", "kernel_id": "29235847"}, {"ref": "gauravmalik26/mnist-detailed-notebook", "kernel_id": "29213416"}, {"ref": "muhammadsameerr/digit-recognization-with-6-ml-models-0-975", "kernel_id": "29463865"}, {"ref": "muhammadsameerr/digit-recoginizer-using-pca-accuracy-improved", "kernel_id": "29760316"}, {"ref": "akileshkumar/digitrec", "kernel_id": "29776006"}, {"ref": "oykuer/mnist-digit-recognition-pytorch-99", "kernel_id": "29299037"}, {"ref": "peremartramanonellas/mnist-digit-recognigtion-0-9974-with-tensorflow", "kernel_id": "29686558"}, {"ref": "danrosa10/mnist-competition", "kernel_id": "29602076"}, {"ref": "hiraki01/mnist-competition-xgboost-0-96", "kernel_id": "29726822"}, {"ref": "roshan81/digit-classifier-cnn-vgg16-resnet", "kernel_id": "29719460"}, {"ref": "suranjan2002/digit-recognization", "kernel_id": "29283245"}, {"ref": "adamlaurenk/notebook1b06b7820f", "kernel_id": "29611870"}, {"ref": "nonrice/erics-mnist-prediction", "kernel_id": "29105882"}, {"ref": "michaelfromoldwick/hello-world-example-basic-nn-code", "kernel_id": "29858178"}, {"ref": "bhatnagardaksh/comparing-anns-and-cnns-on-image-data", "kernel_id": "29309005"}, {"ref": "gowthamramesh7/192ct111-neural-networks", "kernel_id": "29614949"}, {"ref": "jeetjagtap/mnist-using-tensorflow", "kernel_id": "29700606"}, {"ref": "jeetjagtap/mnist-using-a-pytorch", "kernel_id": "29670790"}, {"ref": "rm1000/mlp-is-all-you-need-no-cnn-used", "kernel_id": "29048597"}, {"ref": "advaitchavan/mnist-digit-recogniser", "kernel_id": "29686957"}, {"ref": "advaitchavan/digit-recognizer", "kernel_id": "29688540"}, {"ref": "antonioisacmoreno/ml-digits", "kernel_id": "29970877"}, {"ref": "kemalfarukbaaran/digitrecognizer-cnn-99-23-accuracy", "kernel_id": "29453125"}, {"ref": "sergeyyakovlev1312/digit-recognizer-with-cnn", "kernel_id": "29782144"}, {"ref": "tianwin/math-110b-project2", "kernel_id": "29985657"}, {"ref": "samuelcortinhas/pt3-neural-networks-with-pytorch", "kernel_id": "29764547"}, {"ref": "samuelcortinhas/pt5-save-load-models-with-pytorch", "kernel_id": "29852734"}, {"ref": "samuelcortinhas/pt4-cnns-with-pytorch", "kernel_id": "29844809"}, {"ref": "lusfernandotorres/getting-started-with-computer-vision", "kernel_id": "29517423"}, {"ref": "andrewmanigault/samson-zhang-s-neural-network-tutorial-but-in-r", "kernel_id": "29510596"}, {"ref": "junkroy/mnist-pytorch-convolutional-neural-nets", "kernel_id": "29429542"}, {"ref": "alexreddy/digit-recognition-using-dropout", "kernel_id": "29675594"}, {"ref": "alexreddy/digit-recognition-using-nn", "kernel_id": "29058027"}, {"ref": "uraninjo/trying-to-beat-score-0-988", "kernel_id": "29386839"}, {"ref": "ammar777/notebook4bbe066602", "kernel_id": "29932093"}, {"ref": "arvindkale/cnn-mnist-data", "kernel_id": "29661922"}, {"ref": "kareemusama/mnist-numpy-only-2-10-10-neuron-hidden-layer", "kernel_id": "29175311"}, {"ref": "kareemusama/digit-autoencoder", "kernel_id": "29712538"}, {"ref": "javigallego/digit-recognizer-keras-approach", "kernel_id": "29685045"}, {"ref": "ebrukrkkay/convolutional-neural-network-practice", "kernel_id": "29900827"}, {"ref": "xixihaha318/digit-recognizer-with-pytorch", "kernel_id": "29872531"}, {"ref": "niralibijalmodi/digit-recogniser-using-cnn", "kernel_id": "29905703"}, {"ref": "darylyang/mnist-0803", "kernel_id": "29291351"}, {"ref": "paulnepomuceno/digit-recognizer-cnn", "kernel_id": "29123588"}, {"ref": "usamabalochhh/comparison-of-tree-based-models-with-explanation", "kernel_id": "29050750"}, {"ref": "usamabalochhh/x-ray-bodypart-prediction-eda-cnn", "kernel_id": "29071517"}, {"ref": "komalparakh2509/notebook-digit-recognizer", "kernel_id": "29610124"}, {"ref": "dngngy/cnn-mnist-digit", "kernel_id": "29867341"}, {"ref": "nataliavsreis/atividade3-conv", "kernel_id": "29627381"}, {"ref": "nataliavsreis/atividade3-rn", "kernel_id": "29456054"}, {"ref": "pranavkannepalli/convolutionalneuralnetworktrial", "kernel_id": "29080169"}, {"ref": "akashkotal/digit-recognizer-using-deep-learning", "kernel_id": "29875635"}, {"ref": "stellartrajano/atividade-2-convolu-o", "kernel_id": "29627479"}, {"ref": "stellartrajano/redes-neurais-atv", "kernel_id": "29257385"}, {"ref": "stellartrajano/redes-neurais-atividade", "kernel_id": "29456119"}, {"ref": "caruazu/mnist", "kernel_id": "29747143"}, {"ref": "tamakoto/exercise-deep-learning-from-scratch-daily", "kernel_id": "29011478"}, {"ref": "outofskills/digit-recognition-using-convolutional-nn", "kernel_id": "29017493"}, {"ref": "rudyschn/entry-level-mnist-ensemble-classifier", "kernel_id": "29076599"}, {"ref": "gokulvasanr/convolutional-neural-network", "kernel_id": "29616669"}, {"ref": "gokulvasanr/convolutional-neural-network-cnn", "kernel_id": "29616397"}, {"ref": "ahmedramsey/mnist", "kernel_id": "29821020"}, {"ref": "mahmoodzunayedfarazi/mnist-keras-sequential-model", "kernel_id": "29515704"}, {"ref": "kostavukicevic/tensorflow-100-simple-cnn-250k-weights", "kernel_id": "29253367"}, {"ref": "gauharsingh/digits", "kernel_id": "29533950"}, {"ref": "arielguerchenzon/mnist-using-mlho", "kernel_id": "29112187"}, {"ref": "yt776styjsu/99-5-introduction-to-cnn-w-pytorch", "kernel_id": "29677849"}, {"ref": "omerrtopcu/digit-recognizer-cnn-predict", "kernel_id": "29798275"}, {"ref": "ivanzoizi/score-0-99346", "kernel_id": "29811057"}, {"ref": "pashadevacc/tf-mnist", "kernel_id": "29192300"}, {"ref": "pashadevacc/cnn-mnist-99-275-acc", "kernel_id": "29677029"}, {"ref": "pashadevacc/pytorch-cnn-mnist", "kernel_id": "29798960"}, {"ref": "bigguysahaj/neural-network-to-image-classify-numbers-0-9", "kernel_id": "29064744"}, {"ref": "marceloleaumm/notebookda46f65b02", "kernel_id": "29287542"}, {"ref": "marceloleaumm/atividade-2-cnn", "kernel_id": "29799307"}, {"ref": "hygorfernando/atv-2", "kernel_id": "29999691"}, {"ref": "hygorfernando/notebookc61178032b", "kernel_id": "29287668"}, {"ref": "alexanderblira/et645-atividade-1", "kernel_id": "29456200"}, {"ref": "alexanderblira/et645-atividade-2-cnn", "kernel_id": "29817043"}, {"ref": "precioux/deep-learning-analysis-pca-svm", "kernel_id": "29982484"}, {"ref": "mehmetegekacar/digit-recognizer-keras-sequential-method", "kernel_id": "29509941"}, {"ref": "lau01b/mnist-train", "kernel_id": "29777961"}, {"ref": "kallefischer/mnist-convnet", "kernel_id": "29331906"}, {"ref": "jefferydou/jeff-s-intro-to-ml-final-project", "kernel_id": "29137250"}, {"ref": "jidongzhang123/number-predict", "kernel_id": "29137314"}, {"ref": "johnjohnliu/my-ml", "kernel_id": "29137280"}, {"ref": "jeonghyunyoon/mnist", "kernel_id": "29221311"}, {"ref": "francescoliveras/digit-recognizer-cnn", "kernel_id": "29472864"}, {"ref": "kkaiwwang/no-cheating-easy-99-for-cnn-beginer", "kernel_id": "29748031"}, {"ref": "kkaiwwang/99-67-no-cheating-multi-simple-cnn-model", "kernel_id": "29697839"}, {"ref": "yuganksingh1/pca-visualisation", "kernel_id": "29412059"}, {"ref": "martinappel/ann-from-scratch", "kernel_id": "29557648"}, {"ref": "utkarshsaxenadn/custom-cnn-models-99-5-accuracy", "kernel_id": "29887711"}, {"ref": "matthieugouel/digit-recognizer-easy-with-fastai-99-accuracy", "kernel_id": "29974605"}, {"ref": "caiojcavalcante/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "29924379"}, {"ref": "mercedeszkistoth/building-a-neural-network-only-with-numpy", "kernel_id": "29989583"}, {"ref": "megan3/keras-cnn-tutorial", "kernel_id": "30147781"}, {"ref": "nnjjpp/digit-recognition-keras-neural-network", "kernel_id": "30437445"}, {"ref": "arpanpathak/handwritten-digits-recogniton", "kernel_id": "30852236"}, {"ref": "shuric80/number-recognize", "kernel_id": "30249959"}, {"ref": "dwoodlock/marta-ml201-notebook1-data-exploration-start", "kernel_id": "30205064"}, {"ref": "rishikeshkonapure/dimensionality-reduction-pca-t-sne", "kernel_id": "30657918"}, {"ref": "oscarm524/simple-cnn-98-8-accuracy", "kernel_id": "30033256"}, {"ref": "fourteenflames/digits", "kernel_id": "30233985"}, {"ref": "stpeteishii/png-mnist-classify-sgan", "kernel_id": "30977916"}, {"ref": "rahulpaikar/image-classification-tensorflow-cnn", "kernel_id": "30852831"}, {"ref": "adnanshikh/digit-recognizer-using-pca-kneighborsclassifier", "kernel_id": "30849441"}, {"ref": "achandra1/kaggle-digit-recognizer-keras-eval0-996", "kernel_id": "30682358"}, {"ref": "rohitgadhwar/image-classifier-using-the-keras-api", "kernel_id": "30199740"}, {"ref": "kevinwibowo/inclass-mnist-immobi", "kernel_id": "30558744"}, {"ref": "rahmahkn/convolution-tests", "kernel_id": "30872094"}, {"ref": "princeneo/digit-recognizer-kaggle", "kernel_id": "30576859"}, {"ref": "zhongyanmin/digit-recognizer", "kernel_id": "30424484"}, {"ref": "taranmarley/variational-auto-encoder", "kernel_id": "30135933"}, {"ref": "aadilzikre/digit-recognizer-with-pca-and-knn", "kernel_id": "30000749"}, {"ref": "aadilzikre/digit-recognizer-using-cnn-with-pytorch", "kernel_id": "30482734"}, {"ref": "katia2145/mnist-r", "kernel_id": "30243667"}, {"ref": "csmohamedayman/dl-cv-digit-recognizer", "kernel_id": "30872208"}, {"ref": "mkimiti/mnist-vae", "kernel_id": "30962697"}, {"ref": "ahsanulislam/teaching-numbers-to-your-computer-with-cnn", "kernel_id": "30673734"}, {"ref": "germanbundur/relu-digit-recognizer", "kernel_id": "30522261"}, {"ref": "aveocr/knn0-963", "kernel_id": "30454204"}, {"ref": "albertcompany/mlp-model-for-digit-classification", "kernel_id": "30339654"}, {"ref": "alaminbhuyan/digit-recognizer", "kernel_id": "30194974"}, {"ref": "alaminbhuyan/digit-recognizer-using-pca", "kernel_id": "30212761"}, {"ref": "alaminbhuyan/digits-recognizer-using-cnn", "kernel_id": "30213976"}, {"ref": "ciryandil/mnist-spiking-neural-network", "kernel_id": "30563115"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "shadowdk/mnist-digit-pytroch-resnet50-pretrain-99-27", "kernel_id": "30064272"}, {"ref": "ahmedashraf123/digit-recognizer", "kernel_id": "30487128"}, {"ref": "iravad/t-sne-to-understand-how-neural-network-thinks", "kernel_id": "30923098"}, {"ref": "kgxiao/pytorch-attention-cnn", "kernel_id": "30199951"}, {"ref": "tajinderpalsingh61/cnn-code-tutorial-for-beginners", "kernel_id": "30523555"}, {"ref": "henriupton/digit-classification-hyperparametertuning", "kernel_id": "30106981"}, {"ref": "pietromaldini1/keras-for-digit-recognition", "kernel_id": "30719157"}, {"ref": "jonathanpro/notebooke61780b870", "kernel_id": "30313008"}, {"ref": "abedsultan/a-modern-variant-of-lenet-by-tf-keras-on-mnist", "kernel_id": "30286905"}, {"ref": "mostafajhn/digit-recognizer-competition-cnn-tesnorflow", "kernel_id": "30461845"}, {"ref": "raibabar/digit-recognizer-with-simple-cnn-model", "kernel_id": "30431066"}, {"ref": "hazemhamed/digit-recognizer-vgg16-fine-tune-acc-99-38", "kernel_id": "30315933"}, {"ref": "muhammadfurqon/testconvolution", "kernel_id": "30848786"}, {"ref": "alexowens/kagglexelassubmissioncnn", "kernel_id": "30648187"}, {"ref": "bobsideshow/mymnist-2022-9-15", "kernel_id": "30421666"}, {"ref": "iman1733/digitrecogniserknn", "kernel_id": "30529235"}, {"ref": "iman1733/digitrecognisernn", "kernel_id": "30184358"}, {"ref": "zahrafazel/digit-recognizer-neural-network-pytorch", "kernel_id": "30569686"}, {"ref": "tawfikbeghriche/mnist-sklearn-and-keras", "kernel_id": "30760298"}, {"ref": "ramisoussi/notebook3794511f91", "kernel_id": "30316714"}, {"ref": "dyddyd/pytorch-simple-mlp", "kernel_id": "30709824"}, {"ref": "akshaydattatraykhare/digit-recognition", "kernel_id": "30890667"}, {"ref": "yashrajkarwa/denoising-autoencoder-with-mnist", "kernel_id": "30906278"}, {"ref": "lx23333/fedavg", "kernel_id": "30760512"}, {"ref": "uroosharahat/pca-digit-recogniation", "kernel_id": "30155526"}, {"ref": "louislepez/mnist-version-1", "kernel_id": "30362116"}, {"ref": "parthivakilesh/mnist-digitrecognition-dlapproach", "kernel_id": "30601363"}, {"ref": "nikitkashyap/nikitcnn", "kernel_id": "30529005"}, {"ref": "rizkykiky/digit-recognizer-with-augmentation-0-996", "kernel_id": "30281440"}, {"ref": "thamannah/digital-recognition-using-ann", "kernel_id": "30475397"}, {"ref": "shadowhat/exercise-mnist-with-efficientnet-gpu", "kernel_id": "30571836"}, {"ref": "shadowhat/exercise-mnist", "kernel_id": "30542956"}, {"ref": "hahunavth/simple-cnn", "kernel_id": "30093607"}, {"ref": "aakashyeddu/mnist-aakash-yeddu", "kernel_id": "30157237"}, {"ref": "stelioskaralis/digit-recognizer-using-cnn", "kernel_id": "30282351"}, {"ref": "apeksha23/96-opencv-image-classification", "kernel_id": "30765861"}, {"ref": "act18l/mnist-mindspore-baseline", "kernel_id": "30260843"}, {"ref": "srivatsas05/digit-recognizer-using-deep-network", "kernel_id": "30220807"}, {"ref": "sujaykapadnis/logistic-regression", "kernel_id": "30682323"}, {"ref": "chrisnick92/dl-for-digitrecognition-mlp-98-cnn-99", "kernel_id": "30765036"}, {"ref": "sergeyche/mnistcompetition", "kernel_id": "30253301"}, {"ref": "aleynakrmz/digit-recognition-keras-cnn-accuracy-0-997", "kernel_id": "30927279"}, {"ref": "kostasgeorgiadi2310/mnist", "kernel_id": "30563237"}, {"ref": "muhriddinmalik/digit-recognition-model-for-cv-beginners-using-cnn", "kernel_id": "30173544"}, {"ref": "anthonyovishekbaroi/mnist-nn-from-scratch", "kernel_id": "30737242"}, {"ref": "naoshigedoi/try-digit-recognizer", "kernel_id": "30858860"}, {"ref": "rohitdatchanamourty/reconnaissance-de-chiffres", "kernel_id": "30714956"}, {"ref": "ravikumarthakur07/image-classification-tensorflow-cnn", "kernel_id": "30850181"}, {"ref": "prasadposture121/randomforestclassifier", "kernel_id": "30902002"}, {"ref": "prasadposture121/beginner-s-approch", "kernel_id": "30413404"}, {"ref": "abdelrahmanmelsayed/mnist-nns-with-earlystopping", "kernel_id": "30662185"}, {"ref": "mahmoudfahmy77/digits-recognizer-with-neural-network", "kernel_id": "30389575"}, {"ref": "khashayarrahimi94/no-ml-just-statistical-analysis", "kernel_id": "30637667"}, {"ref": "pawankumargunjan/mnist-handwritten-digit-classification", "kernel_id": "30635460"}, {"ref": "aleemaparakatta/mnist-digitrecogniser", "kernel_id": "30885487"}, {"ref": "greegtitan/digit-recognizer-for-monkeys", "kernel_id": "30496735"}, {"ref": "enesenyrek/digit-cnn", "kernel_id": "30605803"}, {"ref": "baselanaya/digits-recognizer-using-cnn", "kernel_id": "30317233"}, {"ref": "quentin42fr/getting-started-cnn-with-pytorch-lightning", "kernel_id": "30124667"}, {"ref": "sagshk/digit-recognizer-cnn", "kernel_id": "30715622"}, {"ref": "abanoubkased/mnist-simple-cnn", "kernel_id": "30072380"}, {"ref": "raghavgarg12/digit-recognizer", "kernel_id": "30168030"}, {"ref": "abdurrahmanyakar/convolutional-neural-networks-cnn", "kernel_id": "30416348"}, {"ref": "chunkrose/digit-recogonization", "kernel_id": "30693676"}, {"ref": "rutikachavan/digit-recognizer-by-cnn", "kernel_id": "30727455"}, {"ref": "miata99/miatamath110project2", "kernel_id": "30000594"}, {"ref": "nuozhou1/digit-recognizer", "kernel_id": "30036965"}, {"ref": "nataliavsreis/autoencoders-2", "kernel_id": "30555045"}, {"ref": "swetarajsinha/digit-recognizer-randomforestclassifier", "kernel_id": "30199971"}, {"ref": "opppo1/study-cnn-for-assignment-1", "kernel_id": "30624327"}, {"ref": "omarsaad34/digit-recognizer", "kernel_id": "30305271"}, {"ref": "taylantatl/digit-recognizer-project-with-tensroflow", "kernel_id": "30420715"}, {"ref": "nobodymartin/lightgbm-explanation-practice-with-dataset", "kernel_id": "30786405"}, {"ref": "gobals89/digit-recognition-cnn-2", "kernel_id": "30993502"}, {"ref": "kevinmorgado/cnn-mnist-prediction-99", "kernel_id": "30061888"}, {"ref": "marcrr/digit-recognizer-notebook-for-cnn", "kernel_id": "30008582"}, {"ref": "rayenghali023/digit-recognizer-tensorflow-model-for-cv", "kernel_id": "30229969"}, {"ref": "avinashrola/digit-recognization-cnn-98-19", "kernel_id": "30802726"}, {"ref": "manojgowda65/what-s-the-number-tf-sequentialapi-nn", "kernel_id": "30241169"}, {"ref": "manojgowda65/digit-recognizer-simple-cnn-model-99-4-score", "kernel_id": "30402797"}, {"ref": "anilkumarpathak/pca-on-digit-recoizer", "kernel_id": "30497747"}, {"ref": "sesburg/lenet5-vggnet-and-resnet-with-tf-on-mnist-data", "kernel_id": "30252982"}, {"ref": "alimohtadi/digit-recognition", "kernel_id": "30284955"}, {"ref": "lilyon/digit-recognizer-dl-tensorflow-mlp", "kernel_id": "30223587"}, {"ref": "bhavyabhola/digit-recognizer-with-0-98-accuracy", "kernel_id": "30957182"}, {"ref": "michaeltang6649/handwriten-digit-eda-using-pca", "kernel_id": "30193615"}, {"ref": "michaeltang6649/digit-recognizer-with-cnns", "kernel_id": "30193326"}, {"ref": "abhijnagrao/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "30511526"}, {"ref": "invhnd/u-net-practice", "kernel_id": "30119816"}, {"ref": "praghaadeeshr/21035-cnn", "kernel_id": "30353748"}, {"ref": "mraafat7/mnist-neural-network-for-digit-recognition", "kernel_id": "30330026"}, {"ref": "anshv2/first-neural-net", "kernel_id": "30305287"}, {"ref": "stwaynexg/mnist-classifier", "kernel_id": "30431688"}, {"ref": "abhipshadash/digitrecognizer-adash", "kernel_id": "30686069"}, {"ref": "kagggggllllle/digit-recognizer", "kernel_id": "30889572"}, {"ref": "mathewsarti/neuralnetworkpr", "kernel_id": "30432678"}, {"ref": "rajatsandeepsen/digit-recogintion-withouttensorflow", "kernel_id": "30642427"}, {"ref": "kaneru/assignment-1-getting-your-feet-wet", "kernel_id": "30590553"}, {"ref": "rohitunni/ml-class-demo", "kernel_id": "30748567"}, {"ref": "cvhv242/notebook354a3d342c", "kernel_id": "30866567"}, {"ref": "yosikristian/mnist-2022", "kernel_id": "31412323"}, {"ref": "ardakshalkarbayuli/mnist-neural-network", "kernel_id": "31381685"}, {"ref": "lianglu/pytorch-arcface-example", "kernel_id": "31628151"}, {"ref": "xiefei/03-digit-recognizer", "kernel_id": "31577622"}, {"ref": "vkoriukina/digit-recognizer-py", "kernel_id": "31114850"}, {"ref": "selcukcan/ml-4-2-evaluate-the-multiclass-classification", "kernel_id": "31655929"}, {"ref": "dwoodlock/ml201-terry", "kernel_id": "31289673"}, {"ref": "stpeteishii/mnist-train-weights-by-yolov7", "kernel_id": "31088568"}, {"ref": "strunkin/digit-recognizer", "kernel_id": "31742135"}, {"ref": "gitanjali1425/digit-neural-network", "kernel_id": "31214621"}, {"ref": "mysha1rysh/digit-recognition-my-first-neural-network", "kernel_id": "31420642"}, {"ref": "linchiyeh/digitrecognizer-lin-resnet-cam-implementation", "kernel_id": "31024464"}, {"ref": "makorromanuel/tutorial-redes-neuronales-convolucionales-cnn", "kernel_id": "31395788"}, {"ref": "ahsanulislam/teaching-numbers-to-your-computer-with-ml", "kernel_id": "31313538"}, {"ref": "jamesanavatan/digit-recognition-with-logistic-regression", "kernel_id": "31025359"}, {"ref": "haron54/chertkov-8305", "kernel_id": "31296151"}, {"ref": "adityanaik42/digit-recognition", "kernel_id": "31232077"}, {"ref": "cosmiccat/mnist-numbers-first-approach", "kernel_id": "31649902"}, {"ref": "waferthin/digit-recognizer-cnn-using-r-keras", "kernel_id": "31896435"}, {"ref": "l0c4lhost/digits-recognizer", "kernel_id": "31601955"}, {"ref": "tenzintsundue/hand-digit-regonization-using-ann", "kernel_id": "31826740"}, {"ref": "ready234/digit-recogniser", "kernel_id": "31433726"}, {"ref": "juwonyeo/mnist", "kernel_id": "31447669"}, {"ref": "ayushksingh28/mnist-digit-classification", "kernel_id": "31779200"}, {"ref": "ayushksingh28/mnist-digit-classification-explore", "kernel_id": "31909184"}, {"ref": "ankit8467/gan-implimentation", "kernel_id": "31063520"}, {"ref": "andreypomortsev/mnist", "kernel_id": "31081005"}, {"ref": "minhhngchong/svm-digit-from-scratch", "kernel_id": "31644770"}, {"ref": "peremartramanonellas/how-to-create-a-siamese-network-to-compare-images", "kernel_id": "31065141"}, {"ref": "mertadgn/digit-recognizer-solution-with-cnn", "kernel_id": "31326825"}, {"ref": "maharshipandya/what-is-pca-dimensionality-reduction", "kernel_id": "31766490"}, {"ref": "drondasgupta/lenet-with-different-optimizers", "kernel_id": "31390348"}, {"ref": "pranavadarisansv/digit-recognizer-using-neural-network-cnn", "kernel_id": "31556893"}, {"ref": "srihithbharadwaj/mnist-tf", "kernel_id": "31374370"}, {"ref": "phuc16102001/digit-recognizer-cnn-model", "kernel_id": "31973661"}, {"ref": "satishgunasekaran/digit-recognizer-cnn", "kernel_id": "31549854"}, {"ref": "dianalaveena/digit-recognizer-pytorch", "kernel_id": "31268765"}, {"ref": "dianalaveena/digit-recognizer-pytorch-cnn", "kernel_id": "31420364"}, {"ref": "dianalaveena/digit-recognizer-pytorch-transferlearning-resnet", "kernel_id": "31483565"}, {"ref": "yosebnam/digit-recognizer", "kernel_id": "31600129"}, {"ref": "gopalkholade/digit-recogniser", "kernel_id": "31703339"}, {"ref": "meeratif/digit-recognize-cnn-with-99", "kernel_id": "31971346"}, {"ref": "meeratif/digit-recognizer-using-cnn-99-accuracy", "kernel_id": "31940364"}, {"ref": "mikolajhojda/digit-recognizer-using-cnn", "kernel_id": "31858173"}, {"ref": "jairjiramuoz/digitsmnist", "kernel_id": "31483867"}, {"ref": "anhvutruong/digit-recognition-using-cnn", "kernel_id": "31878717"}, {"ref": "kafkarps/feature-selection-on-mnist", "kernel_id": "31287177"}, {"ref": "shivam2111/mnist-digit-recognition-unet-residualblock", "kernel_id": "31816918"}, {"ref": "sourakantighosh/digits-multiclass-cnn", "kernel_id": "31816022"}, {"ref": "avamiller/ganproj-ava-first", "kernel_id": "31978974"}, {"ref": "kosmasu/mnist-digits-recognizer-2022", "kernel_id": "31411336"}, {"ref": "manonstr/tipe-keras", "kernel_id": "31043133"}, {"ref": "akankshalokhande/digit-recognition-mnist-dataset-using-cnn", "kernel_id": "31788235"}, {"ref": "alvarobertin/competitiondigitrecognize", "kernel_id": "31102240"}, {"ref": "fareselmenshawii/mnist-99-994-val-accuracy", "kernel_id": "31039044"}, {"ref": "fareselmenshawii/comprehensive-tensorflow-tutorial", "kernel_id": "31953853"}, {"ref": "wonduk/explained-tensorflow-cnn-digit-classification", "kernel_id": "31054789"}, {"ref": "amrokahla/residual-network-for-digit-recognition", "kernel_id": "31616982"}, {"ref": "prismana/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "31796824"}, {"ref": "abrorshopulatov/training-sota-model-with-fastai-to-99-52-accuracy", "kernel_id": "31308012"}, {"ref": "nacholavaggi/my-first-approach-on-computer-vision-es", "kernel_id": "31878344"}, {"ref": "winterhuz/cnn-digit-recognizer", "kernel_id": "31004196"}, {"ref": "prathameshchaudhary/digit-recognizer", "kernel_id": "31138010"}, {"ref": "zacharyzhangg/mnist-cnn", "kernel_id": "31753318"}, {"ref": "vedumrajkar/digit-classification-with-pytorch", "kernel_id": "31005226"}, {"ref": "jocker3/digit-recognizer", "kernel_id": "31473342"}, {"ref": "timurrashitov/embedding-concept-by-the-example-of-trained-cnn", "kernel_id": "31802150"}, {"ref": "timurrashitov/metric-learning-embedding-generation-on-mnist", "kernel_id": "31868376"}, {"ref": "muralidharbhusal/digit-classification-keras", "kernel_id": "31846226"}, {"ref": "swagata14das/digit-recognition", "kernel_id": "31016408"}, {"ref": "brunocprado/digit-recognizer-w-tf-keras-99-accuracy", "kernel_id": "31509611"}, {"ref": "gauharsingh/digit-conv", "kernel_id": "31120104"}, {"ref": "smjishanulislam/handwritten-digit-prediction", "kernel_id": "31666327"}, {"ref": "suyashkapil/basic-digit-recognizer", "kernel_id": "31448315"}, {"ref": "hygorfernando/atividade-5", "kernel_id": "31478713"}, {"ref": "ajayvarada/multiclassclassification1", "kernel_id": "31104897"}, {"ref": "tompaulat/cnn-classifying-architectural-photography", "kernel_id": "31413678"}, {"ref": "masayaeki/handson", "kernel_id": "31679159"}, {"ref": "ahmeturunveren/digit-recognizer-cnn", "kernel_id": "31875576"}, {"ref": "iabahmad19/mnist-digit-recog", "kernel_id": "31063957"}, {"ref": "alimohtadi/dimension-reduction-on-digit-recognizer-and-fashio", "kernel_id": "31690120"}, {"ref": "paulbacher/mnist-99-6-accuracy-top-10-leaderboard", "kernel_id": "31280641"}, {"ref": "ivanavdeevr/mnist", "kernel_id": "31977160"}, {"ref": "ahmedmohsen2002/mnist-classic-dnn-vs-cnn", "kernel_id": "31774620"}, {"ref": "purnataghosal/my-mnist-classifier", "kernel_id": "31892988"}, {"ref": "phanquct/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "31399592"}, {"ref": "keerthana1208/long-short-term-memory", "kernel_id": "31113451"}, {"ref": "sobhanmohammadids/digit-recognizer-kr-99-acc", "kernel_id": "31568451"}, {"ref": "tiansztianszs/digit-recognizer", "kernel_id": "31814515"}, {"ref": "suyingw/python-knn-digit-recognizer", "kernel_id": "31944506"}, {"ref": "glebbessudnov/digit-recognizer", "kernel_id": "31586298"}, {"ref": "feeko256/notebookccb2b8a354", "kernel_id": "31600965"}, {"ref": "sergean/8305-anukhin-sergey", "kernel_id": "31589663"}, {"ref": "nirmalkondreddy/digit-recognizer-using-cnn-and-custom-activation", "kernel_id": "31690317"}, {"ref": "takec0ver/digit-recognizer-v-1", "kernel_id": "31597216"}, {"ref": "mohamzaazam/mnist-digit-recognizer", "kernel_id": "31060119"}, {"ref": "prasadmjadhav2/notebook64af7e331", "kernel_id": "31541222"}, {"ref": "joehteates/mnist-thing", "kernel_id": "31071195"}, {"ref": "misha21/notebook1", "kernel_id": "31194745"}, {"ref": "dezhnev8305/dr-dezhnev-8305", "kernel_id": "31356191"}, {"ref": "reginaasylguzina/8305-asylguzina", "kernel_id": "31618313"}, {"ref": "artemiivoilokov/voilokov", "kernel_id": "31435448"}, {"ref": "editama/digit-recogniser-4", "kernel_id": "31690369"}, {"ref": "editama/lost-digits", "kernel_id": "31856164"}, {"ref": "editama/digit-recogniser", "kernel_id": "31958998"}, {"ref": "yanxc1123/notebookc671960b72", "kernel_id": "31600612"}, {"ref": "nikita8305/notebook3d31121379", "kernel_id": "31600389"}, {"ref": "yantik/notebook58d0807c52", "kernel_id": "31600583"}, {"ref": "ivanmoldovanu1/notebook7fe70e5c86", "kernel_id": "31600585"}, {"ref": "ozzzu277/notebookffb249fbb8", "kernel_id": "31632752"}, {"ref": "makariyp/mnist-numbers-cnn-keras", "kernel_id": "31695805"}, {"ref": "luseduard/notebook34d929b93d", "kernel_id": "31711495"}, {"ref": "abhayratti/mnist-model-w-numpy", "kernel_id": "31751601"}, {"ref": "raghavareddytera23/notebookbed0ced9fe", "kernel_id": "31756767"}, {"ref": "lgiahuy/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "31949172"}, {"ref": "gopi1035/mnist-using-ann", "kernel_id": "32406935"}, {"ref": "tejasurya/convolutional-vs-stacked-autoencoder-for-images", "kernel_id": "32150645"}, {"ref": "selcukcan/ai-6-4-early-stoping", "kernel_id": "32131824"}, {"ref": "selcukcan/ai-5-3-evaluating-the-ann-for-multiclassification", "kernel_id": "32123440"}, {"ref": "selcukcan/ai-6-2-no-regularization", "kernel_id": "32132257"}, {"ref": "selcukcan/ai-6-3-regularization", "kernel_id": "32132486"}, {"ref": "sarvagya23/convolutional-neural-network-cnn-tutorial", "kernel_id": "32142852"}, {"ref": "awgross/mnist-digits", "kernel_id": "32445859"}, {"ref": "mjulianimsj75/digit-recognizer-v2", "kernel_id": "32685846"}, {"ref": "mjulianimsj75/digit-recognizer-v3", "kernel_id": "32716657"}, {"ref": "mjulianimsj75/digit-recognizer", "kernel_id": "32268533"}, {"ref": "johnrobinsn/fastai2-imagedataloader-mnist-2022", "kernel_id": "32452964"}, {"ref": "johnrobinsn/fastai2-datablock-mnist-2022-99", "kernel_id": "32438110"}, {"ref": "avulic/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "32300219"}, {"ref": "ted0071/digit-recognizer-pytorch-onnx", "kernel_id": "32972384"}, {"ref": "u101116fcs142/mnist-resnet50-transfer-learning", "kernel_id": "32260549"}, {"ref": "aniruddhkb/notebookb3f8be320d", "kernel_id": "32558010"}, {"ref": "dhruv1234/kerastuner-customcnn", "kernel_id": "32266859"}, {"ref": "dhruv1234/cnntransferlearning", "kernel_id": "32326821"}, {"ref": "samanemami/pytorch-a-complete-tutorial", "kernel_id": "32727773"}, {"ref": "vipulshahi/kcc-digit-recognizer", "kernel_id": "32416067"}, {"ref": "taranmarley/unet-based-attention-network", "kernel_id": "32580191"}, {"ref": "taranmarley/tiny-cnn-99-validation-2922-parameters", "kernel_id": "32656587"}, {"ref": "taranmarley/vision-transformer-from-scratch", "kernel_id": "32345757"}, {"ref": "avamys/base-cnn-vs-lenet", "kernel_id": "32555057"}, {"ref": "antoniobrych/digit-recognition-without-cnn-ml-perceptron", "kernel_id": "32617642"}, {"ref": "chuyuewu/mnist-fastai", "kernel_id": "32448537"}, {"ref": "bharatbansal/digit-gan", "kernel_id": "32381893"}, {"ref": "ridwanultanvir/digit-recognize-adam-and-sgd-optimizer", "kernel_id": "32201894"}, {"ref": "karray/stylegan-with-encoder", "kernel_id": "32633370"}, {"ref": "vivekgediya/principle-component-analysis-on-mnist", "kernel_id": "32239843"}, {"ref": "billlucas/explaining-cnn-lstm-using-shap", "kernel_id": "32303393"}, {"ref": "hosseinfaridnasr/tensorflow-digit-classification-accuracy-91", "kernel_id": "32247635"}, {"ref": "alphinjain/handwritten-digits-classification", "kernel_id": "32580511"}, {"ref": "nnsssadithya/kdigits-v3", "kernel_id": "32187245"}, {"ref": "jeonghojo00/digit-recognizer-gradient-boosting", "kernel_id": "32444615"}, {"ref": "tothanhphong/practice-cnn", "kernel_id": "32565949"}, {"ref": "tenzintsundue/hand-digits-recognizing-using-cnn", "kernel_id": "32154270"}, {"ref": "megalino111/tensorflow-keras-tutorial", "kernel_id": "32570278"}, {"ref": "norifumiirie/simple-neural-network-pytorch-udemy-adoption", "kernel_id": "32654120"}, {"ref": "lionsai/batch-normalization", "kernel_id": "32100712"}, {"ref": "emreustundag/pytorch-tutorials", "kernel_id": "32557374"}, {"ref": "emreustundag/generative-adversarial-networks-gans-tutorial", "kernel_id": "32460336"}, {"ref": "timgid/simple-introduction-to-cnn-with-the-mnist-dataset", "kernel_id": "32627734"}, {"ref": "matheuslopesvivas/mnist-digit-machine-vision-using-pytorch", "kernel_id": "32816735"}, {"ref": "anishnatekar/neural-networks-from-scratch", "kernel_id": "32764140"}, {"ref": "shambhurajpatil/minst", "kernel_id": "32951812"}, {"ref": "muhammadsameerr/digit-recoginizer-using-cnn", "kernel_id": "32611873"}, {"ref": "vishalshinde323/mnist-by-vishal", "kernel_id": "32970884"}, {"ref": "devashishshriwas/notebook804496606a", "kernel_id": "32972533"}, {"ref": "arpitmaurya01/digit-recognition", "kernel_id": "32261923"}, {"ref": "srinijasaladi2409/411974-lenet", "kernel_id": "32607803"}, {"ref": "srinijasaladi2409/411974-effnet", "kernel_id": "32618125"}, {"ref": "keivanipchihagh/digit-recognizer", "kernel_id": "32743735"}, {"ref": "raifgaripov/notebooka9a7dbd23e", "kernel_id": "32325594"}, {"ref": "suvedhas/mnist-deeplearning", "kernel_id": "32416645"}, {"ref": "srinivasansa/mnist-code", "kernel_id": "32417086"}, {"ref": "harshareddy122/digit-recognization-using-cnn", "kernel_id": "32492005"}, {"ref": "suziikage/v-ri-h-man", "kernel_id": "32789685"}, {"ref": "carrypotter/mnist", "kernel_id": "32008703"}, {"ref": "carrypotter/dl-for-digitrecognition-cnn-mpl", "kernel_id": "32004056"}, {"ref": "hingphan/cnn-mnist", "kernel_id": "32098209"}, {"ref": "priyanshusahu23/mnist-classification", "kernel_id": "32267765"}, {"ref": "mustafatayyipbayram/mnist", "kernel_id": "32273702"}, {"ref": "mustafatayyipbayram/bonus-mnist-with-cnn", "kernel_id": "32763751"}, {"ref": "denisshvetsov811/shetsov-drc", "kernel_id": "32003247"}, {"ref": "denisshvetsov811/shvetsov-drc", "kernel_id": "32004281"}, {"ref": "nikitadyagilev/dyagilev-lr1", "kernel_id": "32100884"}, {"ref": "antonsharandin/sharandin-lr1", "kernel_id": "32100880"}, {"ref": "rodrigomoor/solution-digit-classifier-cnn", "kernel_id": "32462901"}, {"ref": "ahmedgadoo/digit-recognizer-98-accuracy", "kernel_id": "32499452"}, {"ref": "today0110/detectnumber", "kernel_id": "32988702"}, {"ref": "fatemeheslaminasab/hand-written-digit-classifier-using-numpy", "kernel_id": "32299333"}, {"ref": "larjeck/convolution", "kernel_id": "32299996"}, {"ref": "duosun123/digital-network", "kernel_id": "32412672"}, {"ref": "thomasdesousa/digitsv2", "kernel_id": "32033045"}, {"ref": "himanshubhenwal/mnist", "kernel_id": "32007307"}, {"ref": "samsonbezu/cnn-using-mnist-data", "kernel_id": "32489722"}, {"ref": "samsonbezu/mnist-handwritten-digit-dataset", "kernel_id": "32487214"}, {"ref": "trzyszcz/notebook0bba9fca9c", "kernel_id": "32311364"}, {"ref": "amitbakde/digit-recognizer", "kernel_id": "32346570"}, {"ref": "karamnamat/notebookab8ae0407c", "kernel_id": "32866713"}, {"ref": "farshadjafari97/mnist", "kernel_id": "32587809"}, {"ref": "aryannagpal/labassignment5", "kernel_id": "32919546"}, {"ref": "addestromberg/playing-with-digit-recognizer-challenge", "kernel_id": "32176117"}, {"ref": "mirkosnguyn/plain-vanilla-nn-from-scratch", "kernel_id": "32580301"}, {"ref": "isoyeverkin/classification-with-nn", "kernel_id": "32839929"}, {"ref": "ahmedashrafahmed/digit-recognizer-using-cnn-99-4", "kernel_id": "32918141"}, {"ref": "suyashkapil/ann-digit-recognizer", "kernel_id": "32936829"}, {"ref": "alimohtadi/mnist-with-neural-network", "kernel_id": "32308952"}, {"ref": "nouhailamezyan/autoencoder-for-dimensionality-reduction", "kernel_id": "32206448"}, {"ref": "prem113/digit-recognizer", "kernel_id": "32125761"}, {"ref": "ninanuraidha/freeman-chain-code-second-attempt", "kernel_id": "32303967"}, {"ref": "mazami/digit-recognizer-dimension-reduction", "kernel_id": "32720850"}, {"ref": "tripathiharsh/95-accuracy-numpy-from-scratch-no-tf-keras", "kernel_id": "32770169"}, {"ref": "nikitalyzia/digit-recognizer-notebook", "kernel_id": "32592927"}, {"ref": "akhilthakur17/digit-recognition-using-cnn-99-accuracy", "kernel_id": "32523956"}, {"ref": "joachimasare/handwriting-digit-recognizer", "kernel_id": "32321941"}, {"ref": "rhaberkorn/notebook7ede07cc60", "kernel_id": "32231658"}, {"ref": "rhaberkorn/notebook2b8f0a14d8", "kernel_id": "32822555"}, {"ref": "glebivakin/digit-recogniser-neural-network", "kernel_id": "32764906"}, {"ref": "vaffa201/notebook15566579e8", "kernel_id": "32353363"}, {"ref": "vaffa201/digit-cnn", "kernel_id": "32350645"}, {"ref": "kmdev1/digitre", "kernel_id": "32769897"}, {"ref": "vladkontsevykh/kneighborsclassifiersolution", "kernel_id": "32324051"}, {"ref": "varvaroliver/savintseva-8305-digit", "kernel_id": "32885872"}, {"ref": "thibautjuill/digit-recognizer-keras", "kernel_id": "32122137"}, {"ref": "prasadmjadhav2/classification-metrics-multi-mnist", "kernel_id": "32053455"}, {"ref": "prasadmjadhav2/notebook45d008cef4", "kernel_id": "32062152"}, {"ref": "bjoved00/digit-recognizer-beatriz", "kernel_id": "32696871"}, {"ref": "editama/2022-11-05-digit-recogniser", "kernel_id": "32031300"}, {"ref": "parsagouran/mnist-recognizer", "kernel_id": "32329088"}, {"ref": "orestkyyak/vgg-19-architecture-on-mnist-and-omniglot-datasets", "kernel_id": "32105683"}, {"ref": "lgiahuy/bayesian-nerual-networks-with-tensorflow-2-0", "kernel_id": "32619908"}, {"ref": "georgiamichou/neural", "kernel_id": "32765575"}, {"ref": "percedal/26k-params-cnn-98-3-acc", "kernel_id": "32918577"}, {"ref": "zhouxiaotong1937/notebook-digit-recognizer", "kernel_id": "32277704"}, {"ref": "berkemk/digit-recognizer-using-cnn", "kernel_id": "32578094"}, {"ref": "mohamedabdelrahman22/digit-recognizer", "kernel_id": "32309664"}, {"ref": "shaunstanlee/random-forest-mnist", "kernel_id": "32994572"}, {"ref": "shaunstanlee/mnist-classification-using-random-forest", "kernel_id": "32995889"}, {"ref": "satish2011/iml-programs", "kernel_id": "32417599"}, {"ref": "antfilatov/mnist", "kernel_id": "32914447"}, {"ref": "s528661/s528661-cnn-digit", "kernel_id": "32965833"}, {"ref": "motrix235/neuralnetwork1", "kernel_id": "32935959"}, {"ref": "saeesaraf/notebooke04fdf5e8a", "kernel_id": "32971585"}, {"ref": "aresekb/mnist-using-pytorch-mlp-128-64", "kernel_id": "33259095"}, {"ref": "aresekb/mnist-using-pytorch-cnn-32-16", "kernel_id": "33342289"}, {"ref": "ignazio/vision-transformers-in-pytorch-for-mnist-handwritt", "kernel_id": "33843290"}, {"ref": "coldfir3/pytorch-lightning-onnx-export", "kernel_id": "33597453"}, {"ref": "coldfir3/onnx-inference-example", "kernel_id": "33597483"}, {"ref": "coldfir3/baseline-w-pytorch-lightning", "kernel_id": "33588695"}, {"ref": "pedromlsreis/mnist-cnns-pmr", "kernel_id": "33915387"}, {"ref": "pedromlsreis/convolutional-neural-network-cnn-tutorial", "kernel_id": "33908736"}, {"ref": "hachemsfar/predict-0-9", "kernel_id": "33850575"}, {"ref": "hachemsfar/predict-0-1", "kernel_id": "33884511"}, {"ref": "hachemsfar/predict-0-3", "kernel_id": "33887100"}, {"ref": "zainahmed1990/digit-recognizer", "kernel_id": "33626318"}, {"ref": "jacoporepossi/fastai-datablock-augmentation-ensembling-tta", "kernel_id": "33439118"}, {"ref": "crocoraffe/digit-recognizer-with-fastai-score-0-996", "kernel_id": "33701983"}, {"ref": "cloycebox/mnist-digit-recognition", "kernel_id": "33106366"}, {"ref": "onoyiza/digitrecognizer", "kernel_id": "33346858"}, {"ref": "amitkumar1860/ganproj", "kernel_id": "33550905"}, {"ref": "kajubadaam/digit-identifier-support-vector", "kernel_id": "33992429"}, {"ref": "kevvad/starter-mnist-with-fast-ai", "kernel_id": "33548623"}, {"ref": "lovewz/digit-recognizer-w-tensorflow-cnn-from-scratch", "kernel_id": "33186042"}, {"ref": "prem00/digit-recognizer-using-deep-learning-ann", "kernel_id": "33687701"}, {"ref": "isaacdbc/digit-reconizer-tutorial", "kernel_id": "33464420"}, {"ref": "prachi13/digit-recoginiser-with-100-accuracy", "kernel_id": "33426721"}, {"ref": "selensalman/digit-recognize-with-cnn", "kernel_id": "33687129"}, {"ref": "auhide/digit-recognition-svm", "kernel_id": "33874184"}, {"ref": "lavagod/digit-recognizer-minimum-code-0-97846", "kernel_id": "33302491"}, {"ref": "gabrieldennis/tf-mnist", "kernel_id": "33775075"}, {"ref": "winvoker/keras-neural-network", "kernel_id": "33441712"}, {"ref": "satyanarayanam/easy-baseline-with-fastai-99-accuracy", "kernel_id": "33573564"}, {"ref": "lorenzorota23/cnn-with-keras", "kernel_id": "33514312"}, {"ref": "widhiwinata/mnist-cnn-keras-with-optuna-visualization", "kernel_id": "33401801"}, {"ref": "sukanyabag/alexnet-deep-cnn-beginners-best", "kernel_id": "33033859"}, {"ref": "gerhardbesserneto/fiep-digit-recognizer-c-h2o-automl", "kernel_id": "33676034"}, {"ref": "gerhardbesserneto/fiep-digit-recognizer-c-pytorch", "kernel_id": "33676046"}, {"ref": "pranjalrathore/digit-recognizer-minst", "kernel_id": "33487672"}, {"ref": "harrywangatx/beginner-s-guide-to-mnist-with-cnns-in-tensorflow", "kernel_id": "33365423"}, {"ref": "behroozsohrabi/digit-recognizer-using-pca-and-svm", "kernel_id": "33305713"}, {"ref": "liuxudong1986/digit-recognizer-includ-ensemble-neural-network", "kernel_id": "33507549"}, {"ref": "shivamshinde123/digit-recognizer-using-cnn-architecture", "kernel_id": "33520039"}, {"ref": "shivamshinde123/digit-recognizer-using-ann", "kernel_id": "33462760"}, {"ref": "muhammadmuaviamalik/mnist-loves-cnn-99-acc-3966ca", "kernel_id": "33685246"}, {"ref": "hikmatullahmohammadi/mnist-digit-classification-cnn", "kernel_id": "33871217"}, {"ref": "testanother/votingclassifier-cnn-tuning-for-99-accuracy", "kernel_id": "33935036"}, {"ref": "maxreis/fiep-digit-recognizer-c-pytorch", "kernel_id": "33188113"}, {"ref": "maxreis/fiep-digit-recognizer-c-h2o-automl", "kernel_id": "33187488"}, {"ref": "maxreis/fiep-digit-recognizer-c-keras", "kernel_id": "33187926"}, {"ref": "kinantytasya/inclass-keras-day-1-updated", "kernel_id": "33108800"}, {"ref": "noir3747/digit-recognizer-v1-score-99-139", "kernel_id": "33656469"}, {"ref": "toshpulatovazamat/mnist-with-dnn", "kernel_id": "33449436"}, {"ref": "hugolearn/dcgan-practice", "kernel_id": "33922067"}, {"ref": "ndegwakimunyu/convolutional-neural-networks-99-accuracy", "kernel_id": "33236697"}, {"ref": "meln1337/digit-recognizer-using-pytorch", "kernel_id": "33961238"}, {"ref": "advaitamallik/first-neural-network", "kernel_id": "33280208"}, {"ref": "mackuber/ai-03-digit-reconnizer-nn", "kernel_id": "33941378"}, {"ref": "gokulachalamk/digit-recognizer-gokul", "kernel_id": "33806201"}, {"ref": "leohfigueiredo/leonardo-figueiredo-digit-recognizer-c-h2o-automl", "kernel_id": "33499199"}, {"ref": "leohfigueiredo/leonardo-figueiredo-digit-recognizer-c-pytorch", "kernel_id": "33499455"}, {"ref": "leohfigueiredo/leonardo-figueiredo-digit-recognizer-c-keras", "kernel_id": "33499267"}, {"ref": "mateusmmessias/fiep-digit-recognizer-c-h2o-automl", "kernel_id": "33618151"}, {"ref": "mateusmmessias/fiep-digit-recognizer-c-keras", "kernel_id": "33618161"}, {"ref": "yosebnam/notebook5cfea6fdab", "kernel_id": "33332604"}, {"ref": "freddehagman/gamifying-a-multi-class-svc", "kernel_id": "33234586"}, {"ref": "prakashmahatra/mnist-using-numpy-and-math", "kernel_id": "33446702"}, {"ref": "aneridalwadi/cnn-deep-peek-into-mnist", "kernel_id": "33673966"}, {"ref": "ducbao/conditional-gans", "kernel_id": "33328159"}, {"ref": "gilbertospilma/fiep-digit-recognizer-c-pytorch", "kernel_id": "33505031"}, {"ref": "gilbertospilma/fiep-digit-recognizer-c-keras", "kernel_id": "33504281"}, {"ref": "gilbertospilma/fiep-digit-recognizer-c-h2o-automl-d6ac46", "kernel_id": "33504162"}, {"ref": "samuelcortinhas/chatgpt-does-mnist", "kernel_id": "33149459"}, {"ref": "allanpardinho/allan-mlp-simples-com-keras-para-iniciantes", "kernel_id": "33412280"}, {"ref": "famapa/digit-recognizer", "kernel_id": "33863640"}, {"ref": "kafkarps/artificial-neural-network-model-on-mnist-dataset", "kernel_id": "33744558"}, {"ref": "fotisavgoustidis/digit-recognizer-competition-cnn-start", "kernel_id": "33963358"}, {"ref": "semenvasilev/deep-learning-coursera", "kernel_id": "33984795"}, {"ref": "hsniyesakmak/convolution-neurol-network", "kernel_id": "33669335"}, {"ref": "sanandachowdhury/digit-recognizer", "kernel_id": "33232137"}, {"ref": "weiwsc/digit-recognizer-modeling-with-keras", "kernel_id": "33258241"}, {"ref": "danyowcheung/digits-classification-dense-dropout", "kernel_id": "33203584"}, {"ref": "kumardineshdeon/digit-recognizer-using-pytorch", "kernel_id": "33858828"}, {"ref": "mohamedahmedx2/build-a-simple-l-neural-network-from-scratch", "kernel_id": "33763258"}, {"ref": "mrhamburg/kneighborsclassifier-for-96-6-accuracy", "kernel_id": "33051223"}, {"ref": "alphaghostusmc/mnist-cnnv2", "kernel_id": "33608804"}, {"ref": "alphaghostusmc/mnist-dnnv1", "kernel_id": "33665018"}, {"ref": "alphaghostusmc/mnist-cnnv1", "kernel_id": "33518970"}, {"ref": "alphaghostusmc/mnist-vnnv2", "kernel_id": "33322735"}, {"ref": "alphaghostusmc/mnist-vnnv1", "kernel_id": "33351147"}, {"ref": "alphaghostusmc/mnist-randomforest", "kernel_id": "33100960"}, {"ref": "alphaghostusmc/mnist-decisiontree", "kernel_id": "33100715"}, {"ref": "alphaghostusmc/mnist-logreg-v1", "kernel_id": "33098986"}, {"ref": "alphaghostusmc/mnist-logreg-v2", "kernel_id": "33099440"}, {"ref": "alphaghostusmc/mnist-svm-v1-default-param", "kernel_id": "33199131"}, {"ref": "alphaghostusmc/mnist-svm-v2-tuned-parameters", "kernel_id": "33206445"}, {"ref": "ankitmodak/digit-recognizer-deeplearning", "kernel_id": "33480207"}, {"ref": "mattzhou/neural-ntw", "kernel_id": "33083041"}, {"ref": "smackia/digit-recognizer", "kernel_id": "33954516"}, {"ref": "abdulrahimakhter/mnist-dataset-digit-recognizer", "kernel_id": "33866541"}, {"ref": "ehtck13/simple-mnist-0-92350", "kernel_id": "33379805"}, {"ref": "felipegmartins/fiep-digit-recognizer-c-h2o-automl", "kernel_id": "33674897"}, {"ref": "felipegmartins/fiep-digit-recognizer-c-pytorch", "kernel_id": "33680653"}, {"ref": "felipegmartins/fiep-digit-recognizer-c-keras", "kernel_id": "33680457"}, {"ref": "mohamedalisalama/digit-reconizer-ann-0-98107", "kernel_id": "33187058"}, {"ref": "trangthieu/mnist-train", "kernel_id": "33221228"}, {"ref": "dmitriysosnovskiy/digits-recognizer", "kernel_id": "33002142"}, {"ref": "taigamasuda10969/digit-recognizer-cnn-beginner", "kernel_id": "33982930"}, {"ref": "killswitch10/mnist-cnn-1", "kernel_id": "33667831"}, {"ref": "nmbailey/resnet50", "kernel_id": "33679968"}, {"ref": "waimingtai/digit-recongnizer", "kernel_id": "33391404"}, {"ref": "pravendrapatel/digit-recognizer-cnn", "kernel_id": "33953849"}, {"ref": "ranydwicahyaningtyas/yno-keras-d4", "kernel_id": "33119355"}, {"ref": "sumit46656/digit-recognizer", "kernel_id": "33143484"}, {"ref": "ignoreandfly/trying-mnist-dataset", "kernel_id": "33693424"}, {"ref": "badice/digit-recognizer-tensorflow", "kernel_id": "33817982"}, {"ref": "manu135/dimensionality-reduction-techniques", "kernel_id": "33217716"}, {"ref": "arjokundu/mnist-digit-recognizer", "kernel_id": "33716986"}, {"ref": "royshih23/topic-10-mlp", "kernel_id": "33022896"}, {"ref": "debjyotipaul/digit-recognizer-mnist-dataset", "kernel_id": "33367558"}, {"ref": "khaledmahmoud100/mnist-khaled-mahmoud", "kernel_id": "33184864"}, {"ref": "librayzl/03-digit-recognizer", "kernel_id": "33351230"}, {"ref": "utkarshgaikwad1994/digit-recognizer-utkarsh", "kernel_id": "33233103"}, {"ref": "tcmaso/mnist-guide-cnn-augmentation-tuning-99-5", "kernel_id": "33205787"}, {"ref": "mahalakshmi2003/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "33921000"}, {"ref": "nikolaypopurey/neironki-popurey-nikolay-lab1", "kernel_id": "33438925"}, {"ref": "ivanmoldovanu/notebook2c74c442ba", "kernel_id": "33373206"}, {"ref": "feeko256/notebook1d186ca96f", "kernel_id": "33380103"}, {"ref": "anjalimkiresur/digit-recognizer", "kernel_id": "33348731"}, {"ref": "sergean/neurondigitsasa", "kernel_id": "33100699"}, {"ref": "takec0ver/vns-v1", "kernel_id": "33402495"}, {"ref": "a1exfench/notebook61ecd32d77", "kernel_id": "33329169"}, {"ref": "a1exfench/notebookccd17b618e", "kernel_id": "33380251"}, {"ref": "ashest/digit", "kernel_id": "33806106"}, {"ref": "satoru90/digit-recognizer-cnn-with-98-83-acc", "kernel_id": "33441948"}, {"ref": "semjinwu/digit-recognizer-by-simple-cnn", "kernel_id": "33804606"}, {"ref": "melihcalis/cnn-deep-learning-model-with-99-31-accuracy-score", "kernel_id": "33749149"}, {"ref": "eamonntweedy/training-a-cnn-model-on-mnist-digits", "kernel_id": "33416409"}, {"ref": "lakithadinuwan/digital-recognizer-kaggle", "kernel_id": "33509786"}, {"ref": "yanxc1123/notebook73c1614387", "kernel_id": "33444615"}, {"ref": "nikita8305/notebook745f3b990f", "kernel_id": "33333224"}, {"ref": "yantik/notebook5488f3ecc2", "kernel_id": "33357763"}, {"ref": "ivanvoronkov/fork-of-laboratornaya2", "kernel_id": "33616533"}, {"ref": "anhcuongtran/mnist-cnn-accuracy-around-0-997", "kernel_id": "33599157"}, {"ref": "aymanebensalah/digit-recognizer-97-77", "kernel_id": "33761927"}, {"ref": "notisaacmak/digit-recognizer-base-on-tensorflow", "kernel_id": "33539495"}, {"ref": "nikoolaylovyagin/digit-recognizer", "kernel_id": "33170506"}, {"ref": "abhi0708/testing-ml-algorithm-max-accuracy", "kernel_id": "33931040"}, {"ref": "kaizen97/contrastive-loss-cosine-annoy-pytorch", "kernel_id": "33425857"}, {"ref": "kaizen97/mnist-cnn-gpu-pytorch-using-dataset-dataloader", "kernel_id": "33402006"}, {"ref": "zachharel/digitdetector", "kernel_id": "33134536"}, {"ref": "yukiharada1228/resnet34-by-pytorch", "kernel_id": "33231619"}, {"ref": "yukiharada1228/resnet34-adam-dataaugmentation", "kernel_id": "33167000"}, {"ref": "raniahashim/tks-replicate-code-woo", "kernel_id": "33462182"}, {"ref": "orpkoobcam/test-cuml", "kernel_id": "33085546"}, {"ref": "swayampendgaonkar/mnist-from-scratch", "kernel_id": "33316645"}, {"ref": "garythisside/notebook95449a079e", "kernel_id": "33538704"}, {"ref": "ardacimen/mlp-simples-com-keras-para-iniciantes", "kernel_id": "33455917"}, {"ref": "sumiranverma/digit-recognizer-working", "kernel_id": "33490475"}, {"ref": "mohansharma0777/mnist-digit-recognizer-with-99-36-accuracy", "kernel_id": "33561283"}, {"ref": "hongyangao/convolutional-neural-networks-99-accuracy", "kernel_id": "33589608"}, {"ref": "hayouni/digit-recognizer-using-6-algorithms-and-pca", "kernel_id": "33747856"}, {"ref": "walkalone2002/digitrecognition", "kernel_id": "33892618"}, {"ref": "bencook1212/mnist-nn", "kernel_id": "33808451"}, {"ref": "muhfaizan001/digits-recognizer-classification-using-cnn", "kernel_id": "33849063"}, {"ref": "thelosencronbach/keras-in-r", "kernel_id": "33766945"}, {"ref": "santiagopiovesanel/number-recognizer-nn-khd469", "kernel_id": "33950458"}, {"ref": "arcane96/mnist", "kernel_id": "34498968"}, {"ref": "luxcem/digit-recognizer-with-fastai", "kernel_id": "34624804"}, {"ref": "bjoernjostein/train-keras-model-using-gradient-tape", "kernel_id": "34351789"}, {"ref": "mukit0/pytorch-lightning-on-mnist-with-references-98", "kernel_id": "34139960"}, {"ref": "jrreda/denoising-autoencoders-dae-in-pt-pt", "kernel_id": "34327785"}, {"ref": "fernandoarraz/pseudoinverse-parallelization-with-multiprocessing", "kernel_id": "34473214"}, {"ref": "sharanharsoor/building-a-cnn-module-for-mnist", "kernel_id": "34979698"}, {"ref": "shitalandhalkar/handwritten-digit-recognizer-multiple-models", "kernel_id": "34731834"}, {"ref": "refat094/cnn-hand-written-digit", "kernel_id": "34471000"}, {"ref": "gillevi88/digit-recognizer", "kernel_id": "34225720"}, {"ref": "randyhuynh5815/hack-at-uci-2023-intro-to-practical-ai", "kernel_id": "34705015"}, {"ref": "isaacdbc/cnn-tutorial-easy-to-read-98-accuracy", "kernel_id": "34080881"}, {"ref": "oollysh/finalml", "kernel_id": "34069226"}, {"ref": "taranmarley/learn-linear-algebra-with-code-1", "kernel_id": "34357267"}, {"ref": "toshikinakashima/nn-library-with-numpy", "kernel_id": "34989359"}, {"ref": "shyamgupta196/all-approaches-for-mnist-beginner-to-advanced", "kernel_id": "34907827"}, {"ref": "grantwiersum/simple-xor-nn-numpy-only", "kernel_id": "34131087"}, {"ref": "vijethrai/100-accuracy-nn", "kernel_id": "34107660"}, {"ref": "nishantraghuvanshi/mnist-using-nn", "kernel_id": "34006618"}, {"ref": "peterbull/mnist-digit-classification-with-fastai", "kernel_id": "34559417"}, {"ref": "nitishbhardwaj123/digit-recognition", "kernel_id": "34832669"}, {"ref": "caoofficial/digit-recognizer", "kernel_id": "34857080"}, {"ref": "imkushwaha/principal-component-analysis-code-and-viz", "kernel_id": "34225490"}, {"ref": "fahaddalwai/digit-recogniser-with-keras", "kernel_id": "34904276"}, {"ref": "alexkonse/digit-recognizer", "kernel_id": "34772525"}, {"ref": "alexkonse/resnet-digit-recognizer", "kernel_id": "34915129"}, {"ref": "leshabirukov/mnist-to-ein-2", "kernel_id": "34609518"}, {"ref": "megalino111/deeplearningwithpython", "kernel_id": "34625616"}, {"ref": "pingsirivoravijit/digit-recognition", "kernel_id": "34659696"}, {"ref": "abbicici/classification-mnist", "kernel_id": "34521638"}, {"ref": "marinedemonchaux/compare-gaussians", "kernel_id": "34352780"}, {"ref": "marinedemonchaux/compare-knn-gaussian", "kernel_id": "34352685"}, {"ref": "archetype/number-recognition", "kernel_id": "34623215"}, {"ref": "chemistahmedkamel/digit-recognizer-using-artificial-nn", "kernel_id": "34695245"}, {"ref": "madushanranasinhe/number-recognizer-tensorflow", "kernel_id": "34343053"}, {"ref": "akshaysom/mnist-digit-using-cnn-0-989", "kernel_id": "34904380"}, {"ref": "watcher2747/digit-recognizer-with-pytorch", "kernel_id": "34828257"}, {"ref": "denisrudakov/stacking-xgb", "kernel_id": "34360920"}, {"ref": "denisrudakov/simple-cnn-keras-image-data-generator", "kernel_id": "34520060"}, {"ref": "zakikurdya/under-the-hood-of-neural-networks", "kernel_id": "34180242"}, {"ref": "karandeepsaluja/notebook658ddc3db6", "kernel_id": "34239609"}, {"ref": "arnavmodanwal/mnist", "kernel_id": "34125436"}, {"ref": "muhammadtayyab212/predict-gameplay", "kernel_id": "34124906"}, {"ref": "mackuber/ai-04-digit-reconnizer-cnn", "kernel_id": "34095323"}, {"ref": "umanglodaya/digit-recognizer-ann", "kernel_id": "34397425"}, {"ref": "sujaykapadnis/simple-neural-network", "kernel_id": "34093122"}, {"ref": "sujaykapadnis/svm-digit-recognizer", "kernel_id": "34114975"}, {"ref": "sujaykapadnis/model-4-neural-net", "kernel_id": "34116999"}, {"ref": "thevectorguy/notebookbd5d150ef7", "kernel_id": "34994335"}, {"ref": "yassminsaber/digit-recognizer", "kernel_id": "34806049"}, {"ref": "varunracha/digit-recognition", "kernel_id": "34409462"}, {"ref": "christianharries/kaggle-project-digit-recognizer", "kernel_id": "34904640"}, {"ref": "sajeevyadav/image-classification-rapids-random-forest", "kernel_id": "34913602"}, {"ref": "kattat/digit-recognizer", "kernel_id": "34488690"}, {"ref": "serplzgven/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "34108682"}, {"ref": "siddhvr/svr-solution-using-cnn", "kernel_id": "34678853"}, {"ref": "tolgatanrisever/convolutional-neural-network-cnn-tutorial", "kernel_id": "34736411"}, {"ref": "manonstr/numpy", "kernel_id": "34130108"}, {"ref": "manonstr/tipe-keras-code-propre", "kernel_id": "34324388"}, {"ref": "samra22/digitrecognizer-cnn", "kernel_id": "34419332"}, {"ref": "shiraeharuto/digitrecognizer-cnn-classification", "kernel_id": "34765273"}, {"ref": "fareselmenshawii/cnn-from-scratch", "kernel_id": "34673641"}, {"ref": "agustin222/tf-different-approach", "kernel_id": "34631865"}, {"ref": "tomsbourdain/digitrecognizer-pytorch-tutorial-98-accuracy", "kernel_id": "34601509"}, {"ref": "amirrezamasoumi/mnist-project-96-score", "kernel_id": "34170126"}, {"ref": "snorfyang/mnist-cnn-easy-approach", "kernel_id": "34166025"}, {"ref": "usamabalochhh/neural-network-from-scratch-using-numpy", "kernel_id": "34900268"}, {"ref": "getnymba/simple-cnn-for-digit-recognizing", "kernel_id": "34016299"}, {"ref": "mrjouh4/digit-recognizer-using-ann", "kernel_id": "34155293"}, {"ref": "rupeshmahanty/digit-recognizer", "kernel_id": "34918017"}, {"ref": "kagleo123/digit-recognizer-cnn", "kernel_id": "34409871"}, {"ref": "universalus/digit-recognizer", "kernel_id": "34316628"}, {"ref": "mohammadothmankebbi/convolutional-neural-network-cnn-tutorial", "kernel_id": "34495652"}, {"ref": "lizhecheng/lenet-digit-recognize", "kernel_id": "34510022"}, {"ref": "okmldl/digit-recognition-using-cnn", "kernel_id": "34105455"}, {"ref": "farshadjafari97/mnist-with-lstm", "kernel_id": "34881157"}, {"ref": "johnsonchishimba/digit-recognition-model-with-accuracy-of-99-571", "kernel_id": "34510585"}, {"ref": "tohidyousefi/recognizing-handwritten-numbers-using-ann", "kernel_id": "34355011"}, {"ref": "howlghi/tp-gan-correction", "kernel_id": "34236670"}, {"ref": "nhuerp00/minst-cnn-2nd-attempt", "kernel_id": "34793332"}, {"ref": "gautamrmenon/finding-anthony", "kernel_id": "34723472"}, {"ref": "yuhexiong/digit-recognition-cnn", "kernel_id": "34359575"}, {"ref": "utkarsh1236/digit-recognizer-from-scratch", "kernel_id": "34624834"}, {"ref": "akshitasana/mnist-digit-recognizer", "kernel_id": "34615631"}, {"ref": "pumpkin18/digit-recognizer-using-cnn", "kernel_id": "34972223"}, {"ref": "saidislombek/digit-recognizer-simple-cnn-model", "kernel_id": "34747777"}, {"ref": "johnybhiduri/handwritten-digits-recognition-multiple-models", "kernel_id": "34309947"}, {"ref": "rohan8771/mnist-cnn-augmentation-visualizing-activations", "kernel_id": "34282408"}, {"ref": "yasithapiyumal/digit-recogniser", "kernel_id": "34927756"}, {"ref": "cykadyy/digit-recog", "kernel_id": "34621766"}, {"ref": "ramkan07/digits", "kernel_id": "34684726"}, {"ref": "markbruderer/mnist", "kernel_id": "34981442"}, {"ref": "christiandeangelis1/digit-recognizer-with-pytorch", "kernel_id": "34024921"}, {"ref": "riasengar123/notebookceb02fc3e4", "kernel_id": "34998343"}, {"ref": "amin0mohamed/digit-recognizer-using-cnn-99", "kernel_id": "34835194"}, {"ref": "moh3we5/digit-recognizer-mnist-project-0-9791", "kernel_id": "34193934"}, {"ref": "ouckah/mnist-digit-classifier-from-scratch", "kernel_id": "34722645"}, {"ref": "sunny9999/introduction-to-cnn-keras-0-997", "kernel_id": "34668810"}, {"ref": "adrianrodrigueza/the-digit-recognizer", "kernel_id": "34664652"}, {"ref": "mirolimjon/cnn-number-recognition-with-score-0-99142", "kernel_id": "34165490"}, {"ref": "sashabobrov/digit-recognizer", "kernel_id": "34264861"}, {"ref": "barborakudlov/mnist-cnn-acc-0-99-val-acc-0-99", "kernel_id": "34459020"}, {"ref": "kosimon/start-230208-digit-recognizer-cnn", "kernel_id": "34877824"}, {"ref": "salmaeddaoudi/digit-recognizerr3", "kernel_id": "34277181"}, {"ref": "salmaeddaoudi/digit-recognizerr", "kernel_id": "34276468"}, {"ref": "meylistoylyyev/meylis-toylyyev-final-retake-exam", "kernel_id": "34270923"}, {"ref": "meylistoylyyev/applied-machine-learning-meylis-toylyyev-final", "kernel_id": "34069192"}, {"ref": "amrmohamed319/mnist-cnn-from-scratch-transfer-learning", "kernel_id": "34294712"}, {"ref": "kaanxtr/cnn-digit-recognization-with-gpu", "kernel_id": "34764178"}, {"ref": "shivachintu/multi-classification-digit-recognition", "kernel_id": "34390777"}, {"ref": "pritishkumardash/digit-recognizer-with-200-epochs-and-64-batch-size", "kernel_id": "34502016"}, {"ref": "marouanehardizi/ml-final-exam", "kernel_id": "34263435"}, {"ref": "alihajjvistula/ml-final-ali-hajj", "kernel_id": "34263889"}, {"ref": "ashrithaganji/muliti-classification-digit-recognition", "kernel_id": "34390739"}, {"ref": "cr1msonthenooby/digitrecognizer-conv2d", "kernel_id": "34390023"}, {"ref": "pablo94/digit-recognition-just-with-knn", "kernel_id": "34551301"}, {"ref": "satyadewangan05/digit-recognizer", "kernel_id": "34556469"}, {"ref": "dettaup/digit-recognizer", "kernel_id": "34281833"}, {"ref": "syncwork/mnist-using-mlp-scratch", "kernel_id": "34252345"}, {"ref": "marwaelsherif/cnn-digit-recognizer", "kernel_id": "34614669"}, {"ref": "adivireza/digit-recognizer-keras", "kernel_id": "34477615"}, {"ref": "manuellabbe/paper-replicating-pytorch", "kernel_id": "34958644"}, {"ref": "luyeluye/lenet-5-cnn-with-keras", "kernel_id": "34235593"}, {"ref": "ddzzu2/notebook5bbda6284e", "kernel_id": "34480690"}, {"ref": "pamdi8888/mnist", "kernel_id": "34062827"}, {"ref": "ronancoutinho/mnist-neural", "kernel_id": "34147998"}, {"ref": "guilhermerigacci/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "34210540"}, {"ref": "justinsiow/build-the-lenet-5-from-scratch", "kernel_id": "34744546"}, {"ref": "tobibode/mnist-digit-recognizing-with-cnn", "kernel_id": "34297928"}, {"ref": "sachinsrinivasa/cnn-digit-recogniser", "kernel_id": "34592656"}, {"ref": "mnokno/pytorch-cnn-data-argumentation-99-6", "kernel_id": "34627555"}, {"ref": "pufferbitch/mnist-digit-recognizer-with-cnn", "kernel_id": "34629504"}, {"ref": "chaihailun/digit-recognizer-cnn", "kernel_id": "34840525"}, {"ref": "alphonotso/ann-pytorch-3-layers", "kernel_id": "34915810"}, {"ref": "rashpreetsingh021/notebookf80bba62d5", "kernel_id": "34755922"}, {"ref": "oyeyemidayo/notebook4f9372fbcf", "kernel_id": "34916318"}, {"ref": "jamesdavies1/digit-recognizer", "kernel_id": "35903049"}, {"ref": "evilpsycho42/pytorch-baseline", "kernel_id": "35672663"}, {"ref": "evilpsycho42/comparison-of-sota-pretrained-models-with-pytorch", "kernel_id": "35631568"}, {"ref": "rnk707/mnist-digit-classifier", "kernel_id": "35064807"}, {"ref": "siddharthkumarsah/digit-recognizer-top-solution", "kernel_id": "35930128"}, {"ref": "iamvinitk/digit-recognizer", "kernel_id": "35354903"}, {"ref": "ivanvaccari/neural-network-with-gpus", "kernel_id": "35861984"}, {"ref": "stpeteishii/mnist-autoencoder-vs-decoder", "kernel_id": "35806504"}, {"ref": "validmodel/25-million-images-0-99482-mnist", "kernel_id": "35848551"}, {"ref": "juhotuho10/keras-digit-recognizer", "kernel_id": "35142372"}, {"ref": "jeongeun0205/mnist-w-mlp", "kernel_id": "35228223"}, {"ref": "shvmgrg/convolutional-neural-network-cnn-tutorial", "kernel_id": "35666967"}, {"ref": "jaeryong/mnist", "kernel_id": "35677123"}, {"ref": "eriiiicus/handwriting-mnist-with-ann", "kernel_id": "35735343"}, {"ref": "puiggrosd/session-5-mnist-fastai", "kernel_id": "35967612"}, {"ref": "goduguanilhimam/digit-recogniser-98-36-accuracy", "kernel_id": "35584208"}, {"ref": "klaidenx/digitrecognizer", "kernel_id": "35082016"}, {"ref": "tracyporter/nmist-keras", "kernel_id": "35574348"}, {"ref": "enesztrk/mnist-dataset-classification-with-deep-learning", "kernel_id": "35179686"}, {"ref": "iiilzy/pytorch-sklearn", "kernel_id": "35351972"}, {"ref": "tanchengtc/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "35675061"}, {"ref": "jvthunder/simple-cnn-starters-mnist", "kernel_id": "35105240"}, {"ref": "eslamfouad/digit-recognizer-using-neural-network-with-numpy", "kernel_id": "35476106"}, {"ref": "vpatryk/cnn-model-data-augmentation-using-tf-keras-layers", "kernel_id": "35552534"}, {"ref": "dshassan/tensorflow-on-mnist", "kernel_id": "35511561"}, {"ref": "carloszamorazamora/simple-cnn-first-competition", "kernel_id": "35207121"}, {"ref": "pavlyremon/cv-digit-recognizer", "kernel_id": "35938884"}, {"ref": "umutdenizz/cnn-digit-recognizer", "kernel_id": "35431920"}, {"ref": "jessypango/cnn-model-for-dummies", "kernel_id": "35427885"}, {"ref": "robertbarak/digit-recognition-practicing", "kernel_id": "35274772"}, {"ref": "janagurbanova/digit-recogniser-using-svm-hog-descriptor", "kernel_id": "35206236"}, {"ref": "nilaygaitonde/mnist-from-scratch", "kernel_id": "35721341"}, {"ref": "nikolaiglushchenko/notebooke695322362", "kernel_id": "35738996"}, {"ref": "anqiyan96/simple-cnn-digit-recognizer", "kernel_id": "35315232"}, {"ref": "rawsontabassum/digit-recognizer-sub1", "kernel_id": "35550499"}, {"ref": "nhnnguynngc/digit-recognizer-gpu-cnn-with-acc-above-99", "kernel_id": "35052673"}, {"ref": "lsj23893251/mnist-0308", "kernel_id": "35904862"}, {"ref": "dwijbavisi/20bce070-2csde61-practical-3", "kernel_id": "35597158"}, {"ref": "jinishtrivedi/digit-recognition", "kernel_id": "35120400"}, {"ref": "stefancomanita/digit-recognizer-using-feed-forward-nn-in-pytorch", "kernel_id": "35714305"}, {"ref": "ewanwallace/mnist-99-6", "kernel_id": "35911622"}, {"ref": "krzysztofkepinski/digits-recognizer", "kernel_id": "35370823"}, {"ref": "sandragracenelson/numerical-digit-recognition-on-mnist-dataset", "kernel_id": "35391235"}, {"ref": "adrienriaux/cnn-on-mnist", "kernel_id": "35499188"}, {"ref": "adrienriaux/pca-svm-on-mnist", "kernel_id": "35272574"}, {"ref": "chongzhenjie/digit-recognizer-cnn-with-data-augmentation", "kernel_id": "35123264"}, {"ref": "archanatrivedi/pcademo", "kernel_id": "35539547"}, {"ref": "arifenesaydn/mnist", "kernel_id": "35656028"}, {"ref": "serifoz/digit-recognizer-data-processing", "kernel_id": "35841068"}, {"ref": "serifoz/model-with-pytorch-0-99164", "kernel_id": "35887108"}, {"ref": "austinchao/notebook-digit-recognizer", "kernel_id": "35764693"}, {"ref": "kaiju8/mnist-ann", "kernel_id": "35312966"}, {"ref": "smitikothari/notebook609ba6cfeb", "kernel_id": "35855028"}, {"ref": "sarvesh42kesharwani/numerical-digit-recognition-on-mnist-dataset", "kernel_id": "35413520"}, {"ref": "aliasgarpadaria/mnist", "kernel_id": "35120732"}, {"ref": "anubhavgoyal10/pytorch-tutorial", "kernel_id": "35155052"}, {"ref": "avamiller/ganproj-version-15", "kernel_id": "35717068"}, {"ref": "anishnaskar/lenet5-keras-modelsubclass-api", "kernel_id": "35503799"}, {"ref": "anishnaskar/alexnet-keras-modelsubclass-api", "kernel_id": "35509660"}, {"ref": "riyaelizashaju/digit-recognition-cnn", "kernel_id": "35002756"}, {"ref": "linashyshova/notebook41b5294812", "kernel_id": "35227366"}, {"ref": "bretzoule/2-layer-mnist-nn", "kernel_id": "35473124"}, {"ref": "mariooo3/identifying-digits", "kernel_id": "35737731"}, {"ref": "abedi756/boltzmann-machine", "kernel_id": "35090065"}, {"ref": "kunjgandhi/notebook1c00cfd61b", "kernel_id": "35582085"}, {"ref": "sabahesaraki/digit-recognizer", "kernel_id": "35555586"}, {"ref": "malcomkim1115/lenet", "kernel_id": "35121227"}, {"ref": "kamleshsahoo730/mnist", "kernel_id": "35937336"}, {"ref": "dariusjurjiu/mnist-digit-predictions", "kernel_id": "35906699"}, {"ref": "sonisaumya/digit-recog-ann", "kernel_id": "35158331"}, {"ref": "umitemreilhan/digit-recognizer", "kernel_id": "35383564"}, {"ref": "alaaadell/digit-recognizer-99", "kernel_id": "35504166"}, {"ref": "christiananabeza/anabeza-ece668m-midterms", "kernel_id": "35795379"}, {"ref": "abhinavmangalore/mnist-digit-recognition-w-o-dl", "kernel_id": "35402523"}, {"ref": "andrewkuncevit/simple-recognition-with-pytorch", "kernel_id": "35538667"}, {"ref": "seanmulholland/mnist-digits-keras-convnets", "kernel_id": "35378818"}, {"ref": "lizhecheng/pytorch-simplecnn-digit-classification", "kernel_id": "35945450"}, {"ref": "alfiyafakhrutdinova/cnn-0-9935-score", "kernel_id": "35306399"}, {"ref": "manvikamuthyapu/digit-recognizer-using-logistic-regression", "kernel_id": "35701986"}, {"ref": "muhammadtalharasool/easiest-mnist-digit-recognition", "kernel_id": "35297003"}, {"ref": "venkateshambore/number-recog", "kernel_id": "35454639"}, {"ref": "deeppatel22/digit-recognizer", "kernel_id": "35617439"}, {"ref": "kaibaur/simplemnist-with-tensorflow-keras-imagedatagen", "kernel_id": "35613778"}, {"ref": "hodinhtrieu/digit-recognizer-using-numpy", "kernel_id": "35199947"}, {"ref": "nhttinnguynbch/digit-recognition-tien", "kernel_id": "35302078"}, {"ref": "bsurya27/notebook2181391318", "kernel_id": "35694148"}, {"ref": "wahyuagungbudiyanto/handwritten", "kernel_id": "35018525"}, {"ref": "diyaa2605/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "35778928"}, {"ref": "iabdulw/pytorch-gan", "kernel_id": "35592524"}, {"ref": "ac1808/kaggle-digit-recognizer-neural-networks", "kernel_id": "35189001"}, {"ref": "meastanmay/digit-recognizer-using-deep-neural-networks", "kernel_id": "35593896"}, {"ref": "saianirudhkarumuri/p1-digit-recognizer-basic-model", "kernel_id": "35189699"}, {"ref": "sakaitt/mnist-with-cnn-0-99", "kernel_id": "35070574"}, {"ref": "kirze2206/mnist-digit", "kernel_id": "35483669"}, {"ref": "beydaguler/digit-recognizer", "kernel_id": "35205576"}, {"ref": "soudabehghafourian/mnist-simple-cnn-keras-accuracy-0-99-top-1", "kernel_id": "35472650"}, {"ref": "mohamedahmednaji/nn-mcc", "kernel_id": "35966299"}, {"ref": "mvschamanth/mlp-model-in-keras-with-high-accuracy-of-97", "kernel_id": "35437873"}, {"ref": "mvschamanth/lenet-5-model-explanation-with-99-accuracy", "kernel_id": "35678144"}, {"ref": "alexanderguillen/notebook432e35a021", "kernel_id": "35873366"}, {"ref": "ashmithasudhakar/digit-recognizer-from-sci-kit-learn-library", "kernel_id": "35909535"}, {"ref": "sanjanasatish68l/digit-recognizer-cnn-using-pytorch-99-2-accuracy", "kernel_id": "35897830"}, {"ref": "leopoldvonranke/mnist-cnn-with-pytorch", "kernel_id": "35558210"}, {"ref": "asrithvatsal/digit-recognizer", "kernel_id": "35436222"}, {"ref": "fyz666666/mnist-rf-svm-cnn", "kernel_id": "35933958"}, {"ref": "kazuhiramiller/mnistclassificationfromscratch2hiddenlayers", "kernel_id": "35393953"}, {"ref": "kazuhiramiller/mnistclassificationfromscratchsinglehiddenlayer", "kernel_id": "35582644"}, {"ref": "amaanmansuri/mnist-cnn2", "kernel_id": "35121862"}, {"ref": "hansikatharindi/digit-recognizer", "kernel_id": "35179201"}, {"ref": "atirsakhrelia/mnist-sub", "kernel_id": "35120927"}, {"ref": "lucasrathgeb/digit-recognizer-neural-network-with-numpy", "kernel_id": "35784228"}, {"ref": "fid0did0/understandig-cnn-layer-by-layer-on-digit-reco", "kernel_id": "35379935"}, {"ref": "fid0did0/understandig-cnn-layer-by-layer-part-2", "kernel_id": "35454329"}, {"ref": "dhconnelly/mnist-without-neural-nets", "kernel_id": "35553260"}, {"ref": "juventop/xgboost-on-mnist-data", "kernel_id": "35074080"}, {"ref": "zayanniaz/neural-network-from-scratch", "kernel_id": "35217891"}, {"ref": "anushreebiswas/pca-on-digit-recognition", "kernel_id": "35043131"}, {"ref": "hobbyai/mnist-toy-example-with-pytorch", "kernel_id": "35456476"}, {"ref": "beomsulee/mnist", "kernel_id": "35456349"}, {"ref": "daeseung/exercise-mnist", "kernel_id": "35495996"}, {"ref": "atrlkwqr/exercise-mnist", "kernel_id": "35300666"}, {"ref": "andreynesterov/digit-recognizer-pca-votingclassifier", "kernel_id": "35615857"}, {"ref": "fsergeev/notebookef222ed1c2", "kernel_id": "35164954"}, {"ref": "rzvanfilea/digit-recognition", "kernel_id": "35909097"}, {"ref": "lakshmipriyadarshini/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "35779398"}, {"ref": "zackbudai/numerical-identification-model", "kernel_id": "35433707"}, {"ref": "rani753/exploringkerasand-hand-written-digit", "kernel_id": "35903330"}, {"ref": "shubhammsaraswat/pca-learning", "kernel_id": "35665553"}, {"ref": "stankarz/mnist-cnn", "kernel_id": "35583982"}, {"ref": "rubanisuri/mnist-rubani-trial", "kernel_id": "35599076"}, {"ref": "zertalian/notebooke9a7e5810a", "kernel_id": "35973919"}, {"ref": "annabozhko/notebook8d887bbb66", "kernel_id": "35694007"}, {"ref": "abdulazizpak/digit-recognizer", "kernel_id": "35641051"}, {"ref": "vladiordache/notebookc6b290cee1", "kernel_id": "35987351"}, {"ref": "andreigalitianu/was-steht-dort-neural-network", "kernel_id": "35917872"}, {"ref": "andreigalitianu/was-steht-dort-svm", "kernel_id": "35974372"}, {"ref": "andreigalitianu/was-steht-dort-k-nearest-neighbor", "kernel_id": "35952698"}, {"ref": "marcgrec/notebook6bc20dc637", "kernel_id": "35858994"}, {"ref": "n3n77i/smallnet", "kernel_id": "36611592"}, {"ref": "aria54586/mnist-exploration-pixel-similarity", "kernel_id": "36861794"}, {"ref": "anmolkohli1/0-99282-pytorch-model", "kernel_id": "36576282"}, {"ref": "ignazio/pytorch-multi-layer-perceptron-mnist", "kernel_id": "36215023"}, {"ref": "bbondy/mnist-notebook", "kernel_id": "36561673"}, {"ref": "vishalkr/mnist-classifier", "kernel_id": "36998351"}, {"ref": "otrebor2solrac/digits-recognizer-by-using-cnn", "kernel_id": "36423983"}, {"ref": "siddharthkumarsah/simple-recurrent-neural-network-rnn-pytorch", "kernel_id": "36192703"}, {"ref": "ridloalin/inclass-keras-v2-0-solution", "kernel_id": "36835931"}, {"ref": "ridloalin/inclass-keras-v2-0", "kernel_id": "36877713"}, {"ref": "nguyene/mnist-baseline", "kernel_id": "36826308"}, {"ref": "nguyene/mnist-eda", "kernel_id": "36702463"}, {"ref": "fengshaodi/pytorch-gan-basic-tutorial-for-beginner", "kernel_id": "36809710"}, {"ref": "stpeteishii/mnist-cnn-nets-unsemble", "kernel_id": "36146975"}, {"ref": "stpeteishii/mnist-numpy-cnn-pytorch", "kernel_id": "36756843"}, {"ref": "stpeteishii/digit-rcognizer-numpy-torch-cnn", "kernel_id": "36971428"}, {"ref": "mrinath/data-generation", "kernel_id": "36975139"}, {"ref": "selmanaka/2023-mnist", "kernel_id": "36398026"}, {"ref": "daphne4sg/kernelreg-math", "kernel_id": "36008918"}, {"ref": "andreinovikov90/training-a-triplet-loss-model-on-mnist", "kernel_id": "36550331"}, {"ref": "paulojunqueira/autoencoder-implementation-with-mnist", "kernel_id": "36927769"}, {"ref": "taranmarley/vitransformer-step-by-step", "kernel_id": "36264125"}, {"ref": "taranmarley/chatgpt4-created-vision-transformer", "kernel_id": "36124909"}, {"ref": "mtulgac/cnn-with-data-augmentation", "kernel_id": "36025238"}, {"ref": "deveshsurve/dnn-from-scratch-only-numpy-with-maths-eqn", "kernel_id": "36127856"}, {"ref": "jagdishchavan/handwritten-digit-classification-using-ann", "kernel_id": "36538366"}, {"ref": "thitiwat/digit-recognizer-with-vgg16", "kernel_id": "36230747"}, {"ref": "tracyporter/mnist-tf-cnn", "kernel_id": "36205624"}, {"ref": "flexime/simplenn", "kernel_id": "36487540"}, {"ref": "fafafwzn/digit-recognizer", "kernel_id": "36174954"}, {"ref": "shaharband/digit-recognizer", "kernel_id": "36071060"}, {"ref": "felixnewportmangell/98-8-accuracy-simple-pytorch-convnet", "kernel_id": "36409166"}, {"ref": "zhukovoleksiy/digit-recognizer-keras-0-995-accuracy", "kernel_id": "36346183"}, {"ref": "tahsinmasruf/digit-recognizer-pytorch", "kernel_id": "36167393"}, {"ref": "ozgurbayram00/mnist-digit-recognizer-cnn-with-keras", "kernel_id": "36595373"}, {"ref": "drbeane/dsci-408-hw-04-username", "kernel_id": "36418673"}, {"ref": "daking97/simple-cnn-99", "kernel_id": "36303784"}, {"ref": "musasinaerturul/mnist-with-autoencoder", "kernel_id": "36371975"}, {"ref": "musasinaerturul/mnist-for-competition", "kernel_id": "36026043"}, {"ref": "jagkrinoprasad/digit-recognizer", "kernel_id": "36892467"}, {"ref": "mokinjay/mnist-digit-classification", "kernel_id": "36653975"}, {"ref": "sthiti04/digit-recognizer-using-pytorch", "kernel_id": "36430433"}, {"ref": "tuhinm2002/digit-recognition-with-emojis-and-93-acc-pytorch", "kernel_id": "36133792"}, {"ref": "aryan2003/hand-digit-classification", "kernel_id": "36150043"}, {"ref": "lucasbensaid/digit-recognizer-top-8-99-521", "kernel_id": "36622351"}, {"ref": "jivinvaidya/mnist-using-pytorch-97-accuracy", "kernel_id": "36253389"}, {"ref": "masterbolu/mnist-using-knn", "kernel_id": "36459734"}, {"ref": "poojapramanik/drugs-classification-using-ann", "kernel_id": "36799414"}, {"ref": "shiimiing/mai391-project", "kernel_id": "36283916"}, {"ref": "hiteshpanwar/8-different-ml-algorithms", "kernel_id": "36403684"}, {"ref": "konhugo/mnist", "kernel_id": "36320823"}, {"ref": "konhugo/anomaly-detection-mnist", "kernel_id": "36661280"}, {"ref": "adrienriaux/nca-knn-on-mnist", "kernel_id": "36601311"}, {"ref": "linjiadegou/digit-recognizer-cnn-using-pytorch", "kernel_id": "36129845"}, {"ref": "aleksandermisztal1/digit-recogniser", "kernel_id": "36525190"}, {"ref": "aleksandermisztal1/99-38-mnist", "kernel_id": "36524265"}, {"ref": "mabduvoitov/digit-recognizer-cnn", "kernel_id": "36659017"}, {"ref": "michaelmoffatt/introduction-to-cnn-keras-student-version", "kernel_id": "36488664"}, {"ref": "alexkolesnik/hw-kolesnik-cv1-1", "kernel_id": "36201448"}, {"ref": "andredejesus/digit-recognizer-using-kneighborsclassifier", "kernel_id": "36748770"}, {"ref": "sanandachowdhury/digit-recognizer-using-feed-forward-nn-in-pytorch", "kernel_id": "36626615"}, {"ref": "sanandachowdhury/denoising-autoencoders-dae-in-pt-pt", "kernel_id": "36932259"}, {"ref": "smailaar/digit-recognizer-competiton", "kernel_id": "36184627"}, {"ref": "lionkhan/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "36488717"}, {"ref": "ahmetesmer/cnn-code1", "kernel_id": "36394691"}, {"ref": "klu2000030172/digit-recognizer", "kernel_id": "36674671"}, {"ref": "johnycooly/tensorflow-cnn-0-99", "kernel_id": "36840007"}, {"ref": "saicharan2003/mnist", "kernel_id": "36195716"}, {"ref": "exactful/mastering-digit-recognition-a-classic-nn-approach", "kernel_id": "36515290"}, {"ref": "lezilv/vitransformer-step-by-step", "kernel_id": "36283680"}, {"ref": "abhashrai/cnn-digit-recognizer-for-beginners", "kernel_id": "36511765"}, {"ref": "lvgang623/vit-cifar10", "kernel_id": "36489693"}, {"ref": "venkatganesh98/digit-recognizer-tiny-vgg-98-acc", "kernel_id": "36194149"}, {"ref": "satvik7/digit-recognition-using-cnn-on-mnist", "kernel_id": "36678237"}, {"ref": "tylerpoff/pytorch-mnist-digit-recognizer-99-68-accuracy", "kernel_id": "36593246"}, {"ref": "nickseader/use-tensorflow-cnns-and-image-augmentation", "kernel_id": "36186136"}, {"ref": "princeroysharma/principle-component-anlysis-practice", "kernel_id": "36229403"}, {"ref": "princeroysharma/multiclass-classification-metrics", "kernel_id": "36882848"}, {"ref": "afreentyagi/pca-demo-1", "kernel_id": "36622534"}, {"ref": "youssefzayn/neural-network-from-scratch", "kernel_id": "36300227"}, {"ref": "sebastiengac/mnist-simple-linear-neural-network-model", "kernel_id": "36107901"}, {"ref": "paulrowland/digit-recogniser-tensor-flow", "kernel_id": "36974041"}, {"ref": "chetantalele/digit-recognition-with-image-as-input", "kernel_id": "36881834"}, {"ref": "chetantalele/digit-recognition-using-images-from-device-as-inp", "kernel_id": "36822585"}, {"ref": "chetantalele/digitrecognition-using-random-forest-on-mnist", "kernel_id": "36812218"}, {"ref": "alekyaarra/mnist-pytorch-cnn", "kernel_id": "36425773"}, {"ref": "rafiromolo/digit-recognizer-code", "kernel_id": "36013096"}, {"ref": "ahmettademir/neural-network-from-scratch-python-numpy", "kernel_id": "36464890"}, {"ref": "parinlkhitworasak/digit-recognition-with-cnn-kerastuner", "kernel_id": "36814735"}, {"ref": "hemil09/introduction-to-cnn-keras-solution", "kernel_id": "36525365"}, {"ref": "jaskiratjk/handwritten-digit-recogniser", "kernel_id": "36560139"}, {"ref": "obobojk/digit-recognizer-to-get-contributor-0-949", "kernel_id": "36533917"}, {"ref": "mikhillal/digit-recognizer", "kernel_id": "36937385"}, {"ref": "geoffreyarumba/dsci-508-hw-04-garumba1", "kernel_id": "36553253"}, {"ref": "chloemaurel/resnet50-vs-vgg16-feature-extraction", "kernel_id": "36003447"}, {"ref": "vode33/classic-mnist-using-cnn-tensorflow", "kernel_id": "36070150"}, {"ref": "adithyahegdekota/mnsit-with-98-accuracy-for-beginners", "kernel_id": "36559125"}, {"ref": "mitanshuchakrawarty/digit-recognision-using-cnn-99-432-accuracy", "kernel_id": "36972512"}, {"ref": "sundqvist/mnist", "kernel_id": "36548988"}, {"ref": "siyungcho/frank-siyung-cho-digit-recognizer", "kernel_id": "36476674"}, {"ref": "jaidenkettleson/dsci-408-hw-04-jkettleson1", "kernel_id": "36528309"}, {"ref": "leomckeereid/simple-mnist-nn", "kernel_id": "36564524"}, {"ref": "kristinapoberezhna/simple-solution-with-knn-and-images-shifting", "kernel_id": "36667541"}, {"ref": "isaakmartin/dsci-408-hw-04-isaakmartin", "kernel_id": "36775519"}, {"ref": "pradeepsapparapu/join-to-build-neural-network", "kernel_id": "36768884"}, {"ref": "eishkaran/mnist-data-set", "kernel_id": "36993570"}, {"ref": "heewonyoo/handwritten-digit-classification-resnet", "kernel_id": "36583354"}, {"ref": "nekomei/digit-recog", "kernel_id": "36799110"}, {"ref": "aravindhanarun/digit-recognizer-with-different-hyper-parameters", "kernel_id": "36180385"}, {"ref": "manuelsierramunoz/pytorch-95", "kernel_id": "36770821"}, {"ref": "wepasabyrow/digit-recognizer", "kernel_id": "36067190"}, {"ref": "swahajraza/principle-component-analysis", "kernel_id": "36821315"}, {"ref": "raulstefanpop/digit-recognizer-bm", "kernel_id": "36015916"}, {"ref": "raulstefanpop/digit-recognizer-advanced", "kernel_id": "36016540"}, {"ref": "mateuszk013/mnist-road-to-99-5-with-cnn-1cycle-scheduling", "kernel_id": "36554031"}, {"ref": "ayshamohammedasif/dsci-508-hw-04-aasif1", "kernel_id": "36563475"}, {"ref": "kelseypuetz/dsci-408-hw-04-kelseypuetz", "kernel_id": "36677625"}, {"ref": "kennethcrussell/dsci-408-hw-04-krussell3", "kernel_id": "36780959"}, {"ref": "rjohnson27/dsci-408-hw-04-rjohnson27", "kernel_id": "36523199"}, {"ref": "benwalker24/dsci-508-hw-04-bwalker6", "kernel_id": "36565013"}, {"ref": "gracetucci/fork-of-dsci-408-hw-04-gtucci2", "kernel_id": "36782414"}, {"ref": "gracetucci/dsci-408-hw-04-gtucci2", "kernel_id": "36517748"}, {"ref": "johncayamanda/dsci-408-hw-04-jcayamanda1", "kernel_id": "36774952"}, {"ref": "bioxes/top-score-using-nearest-neighbours", "kernel_id": "36099210"}, {"ref": "bioxes/mnist-99-74-with-convoluted-nn-and-keras", "kernel_id": "36183925"}, {"ref": "idhantranjan/neuralnetworktoidentifydigits", "kernel_id": "36638851"}, {"ref": "selitha98/digit-recognise-final", "kernel_id": "36091580"}, {"ref": "rohitkumarkovuri/dsci-408-hw-04-rohitkumarkovuri", "kernel_id": "36474978"}, {"ref": "vladimirtrifunovic/dsci-508-hw-04-vtrifunovic1", "kernel_id": "36564941"}, {"ref": "muhammadsaadnaveed/dsci-508-hw-04-mnaveed1", "kernel_id": "36782868"}, {"ref": "joshuacudney/dsci-408-hw-04-jcudney1", "kernel_id": "36631135"}, {"ref": "hasanemrebaryank/digit-recognizer-logistic-regression-deep-learning", "kernel_id": "36579516"}, {"ref": "hasanemrebaryank/digit-recognizer-with-cnn", "kernel_id": "36875584"}, {"ref": "andrewc137/mnist-digit-recognition-using-logistic-regression", "kernel_id": "36128762"}, {"ref": "rishithasrivastav/dsci-508-hw-04-frishitha1", "kernel_id": "36699061"}, {"ref": "rohitkovuri/dsci-408-hw-04-krohit1", "kernel_id": "36699327"}, {"ref": "rzvanfilea/digit-recognizer-2", "kernel_id": "36017182"}, {"ref": "anggamalikahmad/studen-activity-siamese-neural-network", "kernel_id": "36393561"}, {"ref": "rywang26/digit-recognizer", "kernel_id": "36785410"}, {"ref": "ceyhunc/mnist-pytorch-cnn-0-97-acc", "kernel_id": "36193689"}, {"ref": "butorinvasiliy/notebook-digit-recognizer", "kernel_id": "36345894"}, {"ref": "butorinvasiliy/notebook-1-digit-recognizer-1", "kernel_id": "36542554"}, {"ref": "ranjitapoudel/mnist-horizontalflip", "kernel_id": "36027270"}, {"ref": "okoloboga/mnist-conv2d", "kernel_id": "36157826"}, {"ref": "dawidkacperczyk/mnist-digit-recognizer-numpy-pandas", "kernel_id": "36448726"}, {"ref": "alexanderevans92/digit-classifier-using-fastai", "kernel_id": "36029658"}, {"ref": "aaryamanrattan2001/recognising-numbers-from-scratch", "kernel_id": "36131045"}, {"ref": "stevenbooke/digit-recognizer-convolutional-neural-network", "kernel_id": "36823501"}, {"ref": "mhogervo/a-textbook-digit-recognizer-in-keras", "kernel_id": "36431980"}, {"ref": "naojiroueno/digitrecognizer", "kernel_id": "36883049"}, {"ref": "maichibao/multi-digit-images-generate-mnist", "kernel_id": "36806057"}, {"ref": "marcaogrossi/mnist-from-scratch", "kernel_id": "36945078"}, {"ref": "marcuschongkc/mnist-but-math", "kernel_id": "36986141"}, {"ref": "andreaschandra/digit-recognizer-baseline", "kernel_id": "37440037"}, {"ref": "dongjinseo/mnist-pytorch-multi-gpu-test", "kernel_id": "37295945"}, {"ref": "dongjinseo/pytorch", "kernel_id": "37326882"}, {"ref": "dongjinseo/pytorch-to-tf", "kernel_id": "37508929"}, {"ref": "kooaslansefat/mnist-adversarial-attack-using-genetic-algorithm", "kernel_id": "37710128"}, {"ref": "nguyene/mnist-improved", "kernel_id": "37093726"}, {"ref": "yakinoki/digit-recognizer", "kernel_id": "37619250"}, {"ref": "stpeteishii/mnist-torch-cnn-transfer-learning", "kernel_id": "37491994"}, {"ref": "wilsbt/notebookff0540ae7e", "kernel_id": "37965937"}, {"ref": "mrinath/training", "kernel_id": "37324675"}, {"ref": "hozaifa/guidednn-1layer-learning", "kernel_id": "37744920"}, {"ref": "averma111/rekognizer", "kernel_id": "37382874"}, {"ref": "jurgendn/fine-grain-image-classification", "kernel_id": "37857539"}, {"ref": "aliciaouyang/notebook43f45477f9", "kernel_id": "37262265"}, {"ref": "faroukkadri/very-easy-step-by-step-dl-with-99-accuracy", "kernel_id": "37172507"}, {"ref": "simonedegasperis/pytorch-digitrecognizer", "kernel_id": "37562882"}, {"ref": "adsuman7/digit-recognizer-in-r", "kernel_id": "37507672"}, {"ref": "nathanschneider22/mnist-notebook", "kernel_id": "37140501"}, {"ref": "khageshorgiri/intro-to-interactive-dimensionality-reduction", "kernel_id": "37508811"}, {"ref": "ryanbarretto/notebook46b78c98e9", "kernel_id": "37435338"}, {"ref": "olemagnushiback/introduction-to-cnn-data-augmentation-with-mnist", "kernel_id": "37357900"}, {"ref": "anutural/digit-recognizer-logisticregression-20230417", "kernel_id": "37380121"}, {"ref": "anutural/digit-recognizer-cnn", "kernel_id": "37557430"}, {"ref": "anutural/digit-recognizer-deepnet", "kernel_id": "37614445"}, {"ref": "alien2327/simple-cnn-classification-mnist", "kernel_id": "37416540"}, {"ref": "blamerx/digit-recognizer-solution-easy-way", "kernel_id": "37259367"}, {"ref": "adrianhayler/building-my-first-neural-net-with-pytorch", "kernel_id": "37052151"}, {"ref": "sarvarxasanov/digit-recognizer", "kernel_id": "37514183"}, {"ref": "sidelmeril/mnist-lenet5-pca-98-62-accuracy", "kernel_id": "37669672"}, {"ref": "abdullah0sama/notebookdce433220b", "kernel_id": "37667700"}, {"ref": "hosshi/cnn-version1", "kernel_id": "37576214"}, {"ref": "aymenkhouja/building-your-first-neural-network", "kernel_id": "37140532"}, {"ref": "aymenkhouja/gentle-intoduction-to-multiclass-classification", "kernel_id": "37139741"}, {"ref": "suraj520/dnn-97-2-val-acc-know-train-infer", "kernel_id": "37888333"}, {"ref": "suraj520/variational-auto-encoders-know-train-infer", "kernel_id": "37939758"}, {"ref": "suraj520/autoencoders-know-train-infer", "kernel_id": "37939623"}, {"ref": "dietzschenostoevsky/mnist-multiple-classifiers", "kernel_id": "37578031"}, {"ref": "dietzschenostoevsky/mnist-svm-augmented-data", "kernel_id": "37648620"}, {"ref": "wuchengpei/minst", "kernel_id": "37568943"}, {"ref": "kmarkey/introduction-to-cnn-and-pytorch", "kernel_id": "37551687"}, {"ref": "simrankaushik/mnist-digits", "kernel_id": "37489234"}, {"ref": "indraneeldey/digit-recognizer", "kernel_id": "37727403"}, {"ref": "aliciachuang/math-110b-neural-network-for-mnist", "kernel_id": "37431044"}, {"ref": "johnycooly/cnn-simple-explanation", "kernel_id": "37178032"}, {"ref": "wessamwalid/handwritten-digit-recognition-99-2-accuracy", "kernel_id": "37929960"}, {"ref": "sabahesaraki/tensorflow-2-version-tutorial", "kernel_id": "37512866"}, {"ref": "zzgzzz/mnist-competition", "kernel_id": "37001939"}, {"ref": "vanquitu/digitrecognizer-pytorch", "kernel_id": "37825101"}, {"ref": "bssmeghana/digit-recognition-using-python-cnn", "kernel_id": "37965107"}, {"ref": "parinzee/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "37814007"}, {"ref": "hassankhalid95/convolutional-neural-network-cnn-tutorial", "kernel_id": "37498646"}, {"ref": "imenbakir/mnist-auto-encoders", "kernel_id": "37776373"}, {"ref": "sagarcharaniya/digit-prediction", "kernel_id": "37706714"}, {"ref": "crocuta/digitrecognizerwithnotes", "kernel_id": "37061117"}, {"ref": "crocuta/mnist-98-9-withoutdataaugmentation", "kernel_id": "37488936"}, {"ref": "adimulamshashank/digit-recognizer", "kernel_id": "37236960"}, {"ref": "arthurmatsidonskiy/gan-cifar10", "kernel_id": "37184206"}, {"ref": "shrinidhi18/mnist-digits", "kernel_id": "37442692"}, {"ref": "noelcmathew/mnist-data", "kernel_id": "37443171"}, {"ref": "dharavathramdas/digit-recognizer-cnn-accuracy-99-9-ipynb", "kernel_id": "37454533"}, {"ref": "utkrishtdutta/digit-rocogniser", "kernel_id": "37044626"}, {"ref": "artemkhadris/digit-recognizer-tensorflow-95", "kernel_id": "37296291"}, {"ref": "abdalrahmanabdallah/handwritten-digit-recognition-pytorch", "kernel_id": "37785528"}, {"ref": "sabienn/mnist-pytorch", "kernel_id": "37772830"}, {"ref": "kaizen97/arcface-on-mnist-data", "kernel_id": "37426212"}, {"ref": "shalopayk/vladarskiy-neyr-lab4", "kernel_id": "37777813"}, {"ref": "begzodabdumutalliev/digit-recognition-model-for-cv-beginners-using-cnn", "kernel_id": "37462203"}, {"ref": "manuelsierramunoz/pytorch-lightning-97-8", "kernel_id": "37107101"}, {"ref": "jeromelgutierrez/digit-recognizer", "kernel_id": "37803020"}, {"ref": "anaschafikpraydos/hand-written-digits", "kernel_id": "37215917"}, {"ref": "beingneer/digit-prediction", "kernel_id": "37180265"}, {"ref": "dezcvr/notebook9693ff4622", "kernel_id": "37063671"}, {"ref": "kushanbhagya/digit-recognizer-nmist", "kernel_id": "37491874"}, {"ref": "shahadhatem/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "37927326"}, {"ref": "zertalian/fork-of-notebooke9a7e5810a-1eb0a2", "kernel_id": "37296390"}, {"ref": "dyimahansah/digit-recognizer-competition", "kernel_id": "37797825"}, {"ref": "furikus/notebook0cfb6616da", "kernel_id": "37767842"}, {"ref": "magggg/notebook7734bef4b1", "kernel_id": "37447357"}, {"ref": "samfouad/digit-recognizer-cnn", "kernel_id": "37682206"}, {"ref": "tanvinaikk/digit-recognizer-solution-easy-way", "kernel_id": "37281518"}, {"ref": "dimitrijemiljkovic/convmnist", "kernel_id": "37972514"}, {"ref": "leonhardpiff/mnist-ood-using-vae-poorly-executed-lazy", "kernel_id": "37259611"}, {"ref": "aprikot07/python-cnn-for-digit-recognition-99-4", "kernel_id": "37797674"}, {"ref": "rfeng12/decent-accuracy-model-experimenting-with-xgboost", "kernel_id": "37798137"}, {"ref": "ammarbagasrawala54/digit-recognization-using-neural-networks-numpy", "kernel_id": "37221357"}, {"ref": "emmarodrigue/knn-svm-and-random-forest", "kernel_id": "37923497"}, {"ref": "shaofeigong/cnn-two", "kernel_id": "37453692"}, {"ref": "tonyhrule/introtoaicrashcourseproject", "kernel_id": "37268432"}, {"ref": "imperfections/example-ai", "kernel_id": "37268439"}, {"ref": "abdelrhmanahmed1/digit-recognizer-using-ann", "kernel_id": "37797812"}, {"ref": "ivarvb/ia-01", "kernel_id": "38174366"}, {"ref": "seancase/mnist-digit-classifier-fastai-resnet50", "kernel_id": "38782151"}, {"ref": "xpehutta/vgg16-vs-resnet50", "kernel_id": "38649575"}, {"ref": "yannsay/fastai-digit-recognizer", "kernel_id": "38161730"}, {"ref": "julisam/digit-recognizer", "kernel_id": "38194389"}, {"ref": "adityam1311/digit-recognition-using-pytorch-lightening-ai", "kernel_id": "38127959"}, {"ref": "erikanesse/mnist-gan", "kernel_id": "38608892"}, {"ref": "erikanesse/mnist-gan-ac775a", "kernel_id": "38646850"}, {"ref": "haider12/exploratory-analysis-of-the-iris-data-set", "kernel_id": "38047243"}, {"ref": "chandergoyal/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "38474092"}, {"ref": "arnavjain1/cats-vs-dogs-cnn", "kernel_id": "38571450"}, {"ref": "ankithmotha/abalone-dataset", "kernel_id": "38186903"}, {"ref": "antoinegruson/mnist-pytorch-cnn-tuto", "kernel_id": "38352455"}, {"ref": "angevalli/resnet18-on-mnist", "kernel_id": "38750033"}, {"ref": "mdsalmanshams/cnn-with-tensorflow-0-9833-in-3-epochs-top-10", "kernel_id": "38949886"}, {"ref": "polaternez/mnist-cnn-keras", "kernel_id": "38556547"}, {"ref": "oliverharboe/mnist-nn", "kernel_id": "38856960"}, {"ref": "joaquintornello/digit-classifier", "kernel_id": "38169014"}, {"ref": "adityayadav009/aditya-yadav-trying-to-improve-in-mnist", "kernel_id": "38368607"}, {"ref": "muhammadahmedansari/eda-on-cifar10-mnist-iris-twitter", "kernel_id": "38985094"}, {"ref": "ayushksingh28/mnist-high-accuracy", "kernel_id": "38759468"}, {"ref": "sarashahin/digitrecognizer", "kernel_id": "38109364"}, {"ref": "satzil/digit-recognizer", "kernel_id": "38977738"}, {"ref": "srilaasyakandukuri/digit-recognizer-score-0-99071", "kernel_id": "38883768"}, {"ref": "yeehawww/digit-recognizer-using-neural-network", "kernel_id": "38147542"}, {"ref": "goodnessonunwa/digit-recognizer", "kernel_id": "38839500"}, {"ref": "bhuvanagayathri/digit-recognition", "kernel_id": "38948733"}, {"ref": "eslamshaban/mnist-cnn-datagen", "kernel_id": "38449398"}, {"ref": "goddiao/rnn-of-digit-recognizer", "kernel_id": "38045363"}, {"ref": "batuhanumay/deeplearning-mnist", "kernel_id": "38262633"}, {"ref": "meghanachebolu/01-digi-recognition", "kernel_id": "38860670"}, {"ref": "jeremysaputra/handwritten-digit-recognizer", "kernel_id": "38497230"}, {"ref": "secondarypemail/mnist-digit-recognition-using-pytorch", "kernel_id": "38053284"}, {"ref": "alexkalita/digit-recognizer", "kernel_id": "38216421"}, {"ref": "hosammhmdali/digit-recognizer-cnn-98-25-accuracy", "kernel_id": "38146242"}, {"ref": "kushagrathisside/artificial-neural-network-with-tensorflow-beginner", "kernel_id": "38658556"}, {"ref": "furkanerhan/bim416-deep-learning-project", "kernel_id": "38055339"}, {"ref": "somanathguptha/somanath", "kernel_id": "38085823"}, {"ref": "oceancloud/mnist-recognition-with-lenet-5", "kernel_id": "38097471"}, {"ref": "suvarnayandapalli/digit-recognizer", "kernel_id": "38886945"}, {"ref": "vanquitu/digitrecognizer-keras", "kernel_id": "38146472"}, {"ref": "gamalahmed32/variantional-autoencoders-vae-task", "kernel_id": "38604088"}, {"ref": "pranavnadimpali/1-digit-recognizer", "kernel_id": "38286574"}, {"ref": "ternarystorm/pytorch-conv2d-10-epochs", "kernel_id": "38976885"}, {"ref": "prathameshpahilwan/task-3", "kernel_id": "38343562"}, {"ref": "utisop/mnist-svm-bagging-97-682", "kernel_id": "38779729"}, {"ref": "gkaran07/mnist-simple-ann-from-scratch", "kernel_id": "38650902"}, {"ref": "gautamrmenon/mnist-using-fast-ai", "kernel_id": "38912958"}, {"ref": "keerthi4701/mnist-degit-classification-cnn", "kernel_id": "38475290"}, {"ref": "keerthi4701/mnist-random-forest", "kernel_id": "38737261"}, {"ref": "ademox02/digit-recognizer-for-beginners", "kernel_id": "38651110"}, {"ref": "aayaanhasnain/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "38396671"}, {"ref": "mohamedabuelnasr/digit-recognizer", "kernel_id": "38319189"}, {"ref": "rahulrock123/digit-classification-using-cnns", "kernel_id": "38161467"}, {"ref": "tobetek/digit-recognizer-simple-tf-cnn", "kernel_id": "38001151"}, {"ref": "sunshinerabbitrabbit/notebookb5d61f16d5", "kernel_id": "38738540"}, {"ref": "youssefzayn/dynamic-neural-network-from-scratch", "kernel_id": "38745535"}, {"ref": "librayzl/mnist-cnn-external-data-perfect-score", "kernel_id": "38492280"}, {"ref": "waalbannyantudre/digit-recognizer-with-simple-ann", "kernel_id": "38788292"}, {"ref": "pavan4679/notebookfee4378978", "kernel_id": "38885682"}, {"ref": "jairusmartinez/digit-recognizer", "kernel_id": "38140543"}, {"ref": "jldc17/yilmaz-cnn-lab", "kernel_id": "38702641"}, {"ref": "koyiljonvaliev/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "38586447"}, {"ref": "kondetisandeep/digit-recognizer", "kernel_id": "38832737"}, {"ref": "lincolnruwambara/variational-autoencoder", "kernel_id": "38654365"}, {"ref": "minalijain/digit-recognizer", "kernel_id": "38540219"}, {"ref": "aksahaha/ml-pca01", "kernel_id": "38695972"}, {"ref": "omyadav90/digit-recognizer-with-pca", "kernel_id": "38216745"}, {"ref": "vincentzeroneemie/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "38086572"}, {"ref": "drgalal/cnn-mnist-keras", "kernel_id": "38593072"}, {"ref": "smokeyscraper/digitrecognizer", "kernel_id": "38145331"}, {"ref": "damianlewandowski7/digit-v1", "kernel_id": "38147863"}, {"ref": "kadyrkulovsaiid/mnist-conv", "kernel_id": "38108029"}, {"ref": "andreynesterov/mnist-keras-tuner-cnns-99-614-accuracy", "kernel_id": "38434214"}, {"ref": "aaaaaadssdasdasd/digit-recognizer", "kernel_id": "38568713"}, {"ref": "pillasaipavan/digit-recognition", "kernel_id": "38482564"}, {"ref": "baireddypranayreddy/notebook0d03d0194e", "kernel_id": "38945881"}, {"ref": "deba15/pca-demo", "kernel_id": "38050573"}, {"ref": "vcode1509/digit-classifier-svm-model-tutorial", "kernel_id": "38021717"}, {"ref": "wuxiaoyu123/number", "kernel_id": "38993189"}, {"ref": "higashimura/digit-recognizer", "kernel_id": "38942249"}, {"ref": "abdulrahmanatef/kaggle-digit-recognizer", "kernel_id": "38741733"}, {"ref": "vincenthepola/notebook4065681110", "kernel_id": "38098027"}, {"ref": "kyledev/scratch-1-building-a-neural-network", "kernel_id": "38752930"}, {"ref": "shchalex/digit-recognizer-cnn-with-residuals-0-994", "kernel_id": "38945631"}, {"ref": "sanjayramrr/neural-networks-digit-recognizer", "kernel_id": "38007445"}, {"ref": "aprilmixdev/nearest-neighbors", "kernel_id": "38368401"}, {"ref": "scumtb/notebooke5d38bda1f", "kernel_id": "38839609"}, {"ref": "kypcode/mnist-digit-recognizer-with-cnn", "kernel_id": "38682439"}, {"ref": "akilanbabu/mnist-gan", "kernel_id": "38616943"}, {"ref": "n0an0n/tensorflow-lenet5-adam-optimizer-early-stopping", "kernel_id": "38674899"}, {"ref": "timryall/simple-cnns-digit-recognizer", "kernel_id": "38753296"}, {"ref": "ggdelhi/number-predictor", "kernel_id": "38976341"}, {"ref": "cashfeg/digit-recognizer-randomforest-bench", "kernel_id": "39054494"}, {"ref": "evilpsycho42/pytorch-multi-gpus-train-infer", "kernel_id": "39248027"}, {"ref": "stpeteishii/ultra-mnist-like-images-yolov8-train-w-wandb", "kernel_id": "39911536"}, {"ref": "stpeteishii/ultra-mnist-like-images-using-7-7-for-yolov8", "kernel_id": "39911200"}, {"ref": "stpeteishii/digit-csv-data-to-14-14-png", "kernel_id": "39468546"}, {"ref": "stpeteishii/mnist-pytorch-lightning", "kernel_id": "39475567"}, {"ref": "stpeteishii/digit-csv-data-to-10-10-png", "kernel_id": "39474495"}, {"ref": "stpeteishii/mnist-28-28-png-pytorch-lightning", "kernel_id": "39494902"}, {"ref": "stpeteishii/mnist-14-14-png-pytorch-lightning", "kernel_id": "39501061"}, {"ref": "stpeteishii/digit-csv-data-to-5-5-png", "kernel_id": "39518887"}, {"ref": "stpeteishii/digit-csv-data-to-3-3-png", "kernel_id": "39518909"}, {"ref": "stpeteishii/mnist-5-5-png-pytorch-lightning", "kernel_id": "39519121"}, {"ref": "stpeteishii/mnist-3-3-png-pytorch-lightning", "kernel_id": "39519125"}, {"ref": "stpeteishii/mnist-10-10-png-pytorch-lightning", "kernel_id": "39513473"}, {"ref": "stpeteishii/digit-csv-data-to-7-7-png", "kernel_id": "39516084"}, {"ref": "stpeteishii/mnist-7-7-png-pytorch-lightning", "kernel_id": "39516422"}, {"ref": "lexuanhieu131297/pytorch-cnn-mnist-fashion", "kernel_id": "39144206"}, {"ref": "derekxue/digit-recognizer", "kernel_id": "39054955"}, {"ref": "mathersonantonio/notebook72be6c6bef", "kernel_id": "39806570"}, {"ref": "aadyac/leakyrelugaussiannoisecnn", "kernel_id": "39026143"}, {"ref": "caiogomide/redes-neurais-mnist", "kernel_id": "39329498"}, {"ref": "ozgurbayram00/mnist-dimensionality-reduction", "kernel_id": "39053192"}, {"ref": "mondolmridulprovakar/mnist-mondol", "kernel_id": "39188491"}, {"ref": "dendyandra/mnist-digit-recognition", "kernel_id": "39165840"}, {"ref": "hungyichousvm/stackoverflow-5441945", "kernel_id": "39760543"}, {"ref": "kathykg/2dcnn", "kernel_id": "39899201"}, {"ref": "robertobonilla/introducci-n-al-deep-learning", "kernel_id": "39175371"}, {"ref": "pranayrishith16/ohh-which-number-is-it-simple-cnn-0-96", "kernel_id": "39528981"}, {"ref": "rishabh222/digit-recognizer-with-ann", "kernel_id": "39995261"}, {"ref": "askeeee/baseline-for-unsupervised-learning-with-snn", "kernel_id": "39900027"}, {"ref": "engssg/nn-from-scratch", "kernel_id": "39360258"}, {"ref": "rukaiyahasan/image-segmentation-u-net", "kernel_id": "39445137"}, {"ref": "jahidul99/digit-recognizer-tf", "kernel_id": "39021658"}, {"ref": "rasoulisaeid/mnist-resnet-pytorch", "kernel_id": "39533025"}, {"ref": "jonblanchard/mnist-classification-with-lenet-5-architecture", "kernel_id": "39721746"}, {"ref": "maxenceheitz/mnist-etudiant", "kernel_id": "39216903"}, {"ref": "mark906012/410822001cnn", "kernel_id": "39880628"}, {"ref": "mark906012/kaggle-hw", "kernel_id": "39760651"}, {"ref": "abhijitkshinde/notebooka01c9e37a8", "kernel_id": "39775766"}, {"ref": "sriharshaeedala/digit-recognizer-mnist", "kernel_id": "39347878"}, {"ref": "sarthakbhatore/96-beginner-code", "kernel_id": "39981445"}, {"ref": "raghavgarg12/digit-recognizer-baseline", "kernel_id": "39981454"}, {"ref": "iambestfeeder/digit-recognizer-0-5", "kernel_id": "39092423"}, {"ref": "tracccer/2-3-perceptron-neural-network", "kernel_id": "39799647"}, {"ref": "aldhanekadev/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "39293384"}, {"ref": "kalethething/pytorch-cnn-for-digit-classification", "kernel_id": "39138237"}, {"ref": "greyisbetter/mnist-classification", "kernel_id": "39960655"}, {"ref": "olcaybolat1/basic-hand-digit-recognition-with-mlp", "kernel_id": "39119940"}, {"ref": "hbsaakashyadav/digit-recognizer", "kernel_id": "39103709"}, {"ref": "isoyeverkin/digit-recognizer2-5f050c", "kernel_id": "39574440"}, {"ref": "rakkarande/mnist-handwritten-digital-recognision", "kernel_id": "39885893"}, {"ref": "abhijeetagarwal21/lecture-2-1", "kernel_id": "39225537"}, {"ref": "shivanshuverma/user-and-beginner-friendly-nlp", "kernel_id": "39198989"}, {"ref": "ashx010/digit-recognizer-cnn-computer-vision-0-986", "kernel_id": "39063603"}, {"ref": "asritha706/digitrecognizer", "kernel_id": "39165706"}, {"ref": "mastersaint/digit-recognition-using-neural-network", "kernel_id": "39818049"}, {"ref": "hariharan0708/hand-sign-identification", "kernel_id": "39876824"}, {"ref": "cristianscutaru/comp-digit-recognizer", "kernel_id": "39386018"}, {"ref": "kerimcanbasarir/digit-recognizer-cnn", "kernel_id": "39137004"}, {"ref": "shieldshield/notebook5198164d09", "kernel_id": "39519725"}, {"ref": "m4nugnzl/easy-0-989-using-le-net5", "kernel_id": "39959052"}, {"ref": "dinhtoanthangk16hl/number-detect-using-mnist-0-9975", "kernel_id": "39148414"}, {"ref": "ashishjagdishsharma/digit-recognizer", "kernel_id": "39446166"}, {"ref": "ishantgargml/digit-recognizer", "kernel_id": "39051198"}, {"ref": "theiturhs/digit-recognizer", "kernel_id": "39875888"}, {"ref": "yunsuxiaozi/the-hello-world-of-computer-vision-0-99414", "kernel_id": "39349561"}, {"ref": "yunsuxiaozi/auto-encoder-95-707", "kernel_id": "39515289"}, {"ref": "akshitsharma1/easy-peasy-detailed-cnn-tutorial-for-beginners", "kernel_id": "39804567"}, {"ref": "sherdllahamad/handwritten-digit-recognition-on-mnist", "kernel_id": "39143574"}, {"ref": "aadikabhatia/digit-recognizer", "kernel_id": "39061299"}, {"ref": "vinhvovvvv/97-on-mnist-with-a-single-decision-tree-ptdltm", "kernel_id": "39923380"}, {"ref": "viktorreichert/t-sne-with-mnist-great-visualization", "kernel_id": "39103149"}, {"ref": "kylwood/digit-recognizer-analysis", "kernel_id": "39800466"}, {"ref": "mandapallijahnavi/digit-recognisition", "kernel_id": "39015974"}, {"ref": "ryanbell62101/digit-recognizer", "kernel_id": "39665048"}, {"ref": "keerthanasujitha/digit-recognition", "kernel_id": "39016081"}, {"ref": "nihelghennani/visualization-of-digits-pca-correlation-matrix", "kernel_id": "39485541"}, {"ref": "profwoo/ai-final-project1", "kernel_id": "39950031"}, {"ref": "hannafasya/praktikum1-part1-hanna", "kernel_id": "39217022"}, {"ref": "hannafasya/praktikum1-part2hanna", "kernel_id": "39218891"}, {"ref": "retnovega/digit-recognizer-cnn-with-tensorflow", "kernel_id": "39216141"}, {"ref": "retnovega/digit-recognizer-with-qmnist-and-cv2", "kernel_id": "39228989"}, {"ref": "retnovega/digit-recognizer-with-ann", "kernel_id": "39253311"}, {"ref": "atuljo/introduction-to-cnn-99-6-accuracy-top-10", "kernel_id": "39349456"}, {"ref": "lakshyabaveja/digit-pca", "kernel_id": "39711732"}, {"ref": "leonhardpiff/network-architecture-evolution-attempt", "kernel_id": "39067698"}, {"ref": "patthanawut/digits-recognizer-with-cnn", "kernel_id": "39816195"}, {"ref": "visvignesh/forward-forward-algorithm", "kernel_id": "39747876"}, {"ref": "kedarhaldankar/notebooke98d3b5ab9", "kernel_id": "39673085"}, {"ref": "divariotaufiq1/digit-recognisor-nn", "kernel_id": "39285947"}, {"ref": "divariotaufiq1/digit-recognizer-with-ann", "kernel_id": "39285044"}, {"ref": "nyarlaw/fork-of-test001", "kernel_id": "39574515"}, {"ref": "littlewhite666/datamining", "kernel_id": "39497115"}, {"ref": "shashwatsaini04/digit-recognizer", "kernel_id": "39903653"}, {"ref": "ayushmannaggarwal/digit-recognizer", "kernel_id": "39742670"}, {"ref": "felipececconello/notebook-felipefontana", "kernel_id": "39447817"}, {"ref": "saipavankumaryedduri/digitrecognizer-using-knn-0-977-dataaugmentation", "kernel_id": "39536757"}, {"ref": "georgepullen/digit-recognition-cnn", "kernel_id": "39821828"}, {"ref": "fjaviermartinez/digit-recognizer-1st-attempt", "kernel_id": "39008237"}, {"ref": "nithinx/mnist-classifier", "kernel_id": "39138875"}, {"ref": "udittmodi/digit-prediction-using-knn-with-97-accuracy", "kernel_id": "39764307"}, {"ref": "weichens/a-learning-process-knn-mlp", "kernel_id": "39216907"}, {"ref": "tgflame/digit-recognition-basic-nn", "kernel_id": "39176707"}, {"ref": "xofid0806/digit-reecognizer", "kernel_id": "39017302"}, {"ref": "xofid0806/csv-to-tensor", "kernel_id": "39828367"}, {"ref": "harsharanshyamsundar/102122032-harsharan-ipynb", "kernel_id": "39104587"}, {"ref": "foof23/mnistdigitrecognizer", "kernel_id": "39023389"}, {"ref": "nicholastetreault/nick-t-mnist-number-classifier", "kernel_id": "39005556"}, {"ref": "iamnotpi/cnn-mnist", "kernel_id": "39268530"}, {"ref": "dhruvisachinshah/ml-pre-induction-task-106122038", "kernel_id": "39275009"}, {"ref": "riceballlll/notebookd007b5d38c", "kernel_id": "39570452"}, {"ref": "muhammadfahadalikhan/digit-regonization", "kernel_id": "39812095"}, {"ref": "markveerasingam/simple-nn-for-mnist", "kernel_id": "39192210"}, {"ref": "asenapati/mnist-dataset-digit-recognizer", "kernel_id": "39434397"}, {"ref": "atien243/notebook6e201a095d", "kernel_id": "39567975"}, {"ref": "lityung/mnist-learn", "kernel_id": "39489047"}, {"ref": "leeladhardewangan/digit-recognizer", "kernel_id": "39530357"}, {"ref": "flpassun/notebook-md", "kernel_id": "39817647"}, {"ref": "ctsnff/notebook18b1a2ced2", "kernel_id": "39675507"}, {"ref": "asmaalbalaji/mnist-task", "kernel_id": "39877959"}, {"ref": "anisharitakula/cnn-from-scratch", "kernel_id": "40623416"}, {"ref": "samimourched/mnist-classification", "kernel_id": "40278046"}, {"ref": "jvisa4031/characters-recognition", "kernel_id": "40992067"}, {"ref": "suriyakrishna/transfer-learning-resnet50-digit-recognizer", "kernel_id": "40703164"}, {"ref": "movich/mnist-cnn-neuralnets", "kernel_id": "40665888"}, {"ref": "nisarbalti/digit-recognizer-with-tf", "kernel_id": "40068965"}, {"ref": "mrinath/clip-training-step-1", "kernel_id": "40946089"}, {"ref": "crimsoneer/ml-for-senior-leaders-workshop-complete", "kernel_id": "40520626"}, {"ref": "crimsoneer/ml-for-senior-leaders-workshop-tutorial", "kernel_id": "40579189"}, {"ref": "crimsoneer/rapid-data-science-for-senior-leaders-tutorial", "kernel_id": "40869924"}, {"ref": "crimsoneer/rapid-data-science-for-senior-leaders-complete", "kernel_id": "40784599"}, {"ref": "niramay/digit-recognition-mnist", "kernel_id": "40531997"}, {"ref": "franciscoramirez/cnn-for-digit-recognition", "kernel_id": "40372818"}, {"ref": "lokidan/comprehensive-dnn-and-cnn-using-pytorch", "kernel_id": "40370128"}, {"ref": "nicoladisabato/cnn-with-keras-top-16", "kernel_id": "40207615"}, {"ref": "nivedithavudayagiri/digit-recognizer-with-cnn-gpu", "kernel_id": "40370750"}, {"ref": "wachzetina/think-tech-image-recognition", "kernel_id": "40526682"}, {"ref": "dishmaheshwari/handwritten-digit-recognizer-using-cnn", "kernel_id": "40404369"}, {"ref": "aitordonado/convolutional-neural-network-cnn-tutorial", "kernel_id": "40609200"}, {"ref": "arqamp/autoencoders", "kernel_id": "40249540"}, {"ref": "karanshetti/digit-recognizer-fastai-v2-2023", "kernel_id": "40546043"}, {"ref": "danfb23/transfer-learning-ensemble-pytorch", "kernel_id": "40938231"}, {"ref": "rustamakimov/digit-recognizer", "kernel_id": "40959411"}, {"ref": "daking97/easy-cnn-99", "kernel_id": "40223531"}, {"ref": "tanavbajaj/introduction-to-generative-adversarial-networks", "kernel_id": "40706819"}, {"ref": "murph99/eda-and-basic-models", "kernel_id": "40769538"}, {"ref": "cengizalbayrak/digit-recognizer-with-cnn", "kernel_id": "40968206"}, {"ref": "farrukh3/mnist-nn", "kernel_id": "40283571"}, {"ref": "rahulsingh787/digit-recognizer", "kernel_id": "40350676"}, {"ref": "marconashaat/khamsat-ham10000", "kernel_id": "40840071"}, {"ref": "ahmedelsayedrashad/digit-recognizer", "kernel_id": "40707630"}, {"ref": "abbasdehghand/digit-recognizer-simple-cnn", "kernel_id": "40242483"}, {"ref": "no0rulain/digit-recognizer-noorulain", "kernel_id": "40399936"}, {"ref": "g0nsalvus/cnn-tutorial-mnist-digit-recognition-dataset", "kernel_id": "40335266"}, {"ref": "ghazanfarali96/digit-recognizer-using-lenet", "kernel_id": "40851234"}, {"ref": "raakar/k-mnist-cv03", "kernel_id": "40725638"}, {"ref": "iqmansingh/digit-recognizer-baseline", "kernel_id": "40015079"}, {"ref": "maciejpaneta/pytorch-notebook", "kernel_id": "40176028"}, {"ref": "maulikjain26/generative-adversarial-networks", "kernel_id": "40816156"}, {"ref": "legendmortal07/mnist-number-prediction", "kernel_id": "40769443"}, {"ref": "kaipo1467/notebookc40ec3dcb6", "kernel_id": "40573267"}, {"ref": "sertanakkus/digit-recognizer-using-ann", "kernel_id": "40070322"}, {"ref": "chanchal24/mnist", "kernel_id": "40095959"}, {"ref": "nikhilvaddepudi/digit-recognizer-using-cnn", "kernel_id": "40509589"}, {"ref": "rachitjain124/mnist-deep-learning-for-beginners", "kernel_id": "40559941"}, {"ref": "tychen14/digit-recognizer-via-cnn-method", "kernel_id": "40532042"}, {"ref": "dehghaniyasin/mnist-lenet-architecture", "kernel_id": "40100410"}, {"ref": "rhysalexander/digit-recogniser", "kernel_id": "40829062"}, {"ref": "yeemeitsang/digit-recognition-cnn", "kernel_id": "40720543"}, {"ref": "diaaessam/cnn-for-digit-recognizing", "kernel_id": "40108635"}, {"ref": "nargesfayazbakhsh/digit-recognizer-svm-lg-dt", "kernel_id": "40506916"}, {"ref": "nargesfayazbakhsh/digit-recognize-find-best-component-in-pca", "kernel_id": "40048205"}, {"ref": "abhay005/digit-recognizer-using-cnn", "kernel_id": "40532852"}, {"ref": "seyyedrezamoslemi/digit-recognizer", "kernel_id": "40819153"}, {"ref": "anushreek15/digit-recogniser", "kernel_id": "40817335"}, {"ref": "ragaa5/resnet50-training-on-ham10000-transfer-learning", "kernel_id": "40714423"}, {"ref": "prajwalkanade/digit-recognition", "kernel_id": "40820632"}, {"ref": "prajwalkanade/digit-recognizer", "kernel_id": "40778968"}, {"ref": "kavehrasouli/abracadabra", "kernel_id": "40597853"}, {"ref": "cj1234567890/keras", "kernel_id": "40789211"}, {"ref": "yunsuxiaozi/siamese-network", "kernel_id": "40612061"}, {"ref": "yunsuxiaozi/cnn-prune", "kernel_id": "40932192"}, {"ref": "akshitsharma1/a-fascinating-introduction-to-cnns-tutorial", "kernel_id": "40097364"}, {"ref": "bangvietvu/exercice-5deep", "kernel_id": "40724460"}, {"ref": "sinazab/mnist", "kernel_id": "40633138"}, {"ref": "marianos42/1-neural-network-mnist-digit-recognizer-mlp", "kernel_id": "40955984"}, {"ref": "marianos42/2-neural-network-mnist-digit-recognizer-cnn", "kernel_id": "40944991"}, {"ref": "sharadsisodiya/pca-demo", "kernel_id": "40810212"}, {"ref": "abdullah7aled/digit-recognizer-tutorial", "kernel_id": "40370112"}, {"ref": "yianwuolivia/ann-mnist", "kernel_id": "40531727"}, {"ref": "liltoeturtle/simple-tensorflow-digitrecognizer", "kernel_id": "40378804"}, {"ref": "cafalena/mnist-hand-writing", "kernel_id": "40715947"}, {"ref": "viktorreichert/mnist-basics", "kernel_id": "40799250"}, {"ref": "utkarshx27/digit-recognizer", "kernel_id": "40093481"}, {"ref": "jeyaramanr/mnist-from-scratch", "kernel_id": "40804103"}, {"ref": "sumitgunjal/digitrecogniser-svm", "kernel_id": "40823690"}, {"ref": "sumitgunjal/digitrecogniser-cnn", "kernel_id": "40828831"}, {"ref": "garima1412/mnist-digit-recognizer", "kernel_id": "40411448"}, {"ref": "lyxbash/digit-recognition-using-neural-network", "kernel_id": "40355716"}, {"ref": "peterzsoldos/digit-recognizer", "kernel_id": "40439179"}, {"ref": "nostal1563/mnist", "kernel_id": "40983677"}, {"ref": "coinshot/digit-recognizer-model", "kernel_id": "40535778"}, {"ref": "leepanti/lee-panti-think-tech-image-recognition", "kernel_id": "40975406"}, {"ref": "bengazjuk/digit-recognizer-with-pytorch", "kernel_id": "40518503"}, {"ref": "stepantikhonov/digit-recognizer", "kernel_id": "40215131"}, {"ref": "lilflerkin/digit-recognizer", "kernel_id": "40355521"}, {"ref": "bongseok9999/the-simplest-digit-recognizer-with-deep-learning", "kernel_id": "40983829"}, {"ref": "abdelrhmanahmed1/softmax-regression-for-digit-recognizer", "kernel_id": "40602255"}, {"ref": "mohamedelhawary0/neural-network-approach", "kernel_id": "40213707"}, {"ref": "ibrohimislomov/notebookcd29346775", "kernel_id": "40273057"}, {"ref": "rifatmamayusupov/slp-vs-mlp-examples", "kernel_id": "40076817"}, {"ref": "jinhuijeon/digit-recogniger-jinn", "kernel_id": "40740632"}, {"ref": "zhassur10/notebook4cc9dd8436", "kernel_id": "40200965"}, {"ref": "zhassur10/digit-equal-recognizer", "kernel_id": "40278507"}, {"ref": "saipavankumaryedduri/digit-recognizer-using-pca", "kernel_id": "40444089"}, {"ref": "saipavankumaryedduri/digit-recognizer-with-voting-classifier", "kernel_id": "40444174"}, {"ref": "anubhashukla/digit-recognizer-using-ann", "kernel_id": "40057073"}, {"ref": "leokagglelk/digit-recognizer-using-tensorflow", "kernel_id": "40250319"}, {"ref": "leokagglelk/digit-recognizer-with-r", "kernel_id": "40322182"}, {"ref": "mathieupelo/mathieu-peloquin-digit-recognizer", "kernel_id": "40160968"}, {"ref": "vanshikam28/digit-recognizer-baseline", "kernel_id": "40202669"}, {"ref": "nabilti20/99-2-using-l2-regularization", "kernel_id": "40038665"}, {"ref": "ohdatascience/neural-networks-mnist", "kernel_id": "40241767"}, {"ref": "alihaiders/cnn-for-digit-recognition", "kernel_id": "40390107"}, {"ref": "rateshkumar/digit-regonization", "kernel_id": "40368384"}, {"ref": "yldzburhan/deep-learning-cnn-practical", "kernel_id": "40937342"}, {"ref": "kkamal2003/introduction-to-generative-adversarial-networks", "kernel_id": "40719483"}, {"ref": "hzahar/digit-recognizer-cnn-with-keras-98-accuracy", "kernel_id": "40358597"}, {"ref": "namanch/introduction-to-generative-adversarial-networks", "kernel_id": "40719661"}, {"ref": "shathaalturke/digit-recognizer-one-vs-all", "kernel_id": "40326953"}, {"ref": "ankitrajput77/ann-tutorial-digit-recognizer", "kernel_id": "40984023"}, {"ref": "javiersnchezsanjos/digitrecognizer-ensemble-method-99-65", "kernel_id": "40052587"}, {"ref": "diyorarti/digit-recognition-by-randomforestclassifier", "kernel_id": "40551977"}, {"ref": "samakshahuja605/digit-recognizer-baseline", "kernel_id": "40001567"}, {"ref": "arshnoor7389/generative-adversarial-networks", "kernel_id": "40719704"}, {"ref": "arshnoor7389/digit-recognizer-baseline", "kernel_id": "40015161"}, {"ref": "aayushi03puri/digit-recognizer-baseline", "kernel_id": "40015038"}, {"ref": "namangoyal3246/digit-recognizer-baseline", "kernel_id": "40015041"}, {"ref": "snk125/notebooke610f9e98f", "kernel_id": "40397063"}, {"ref": "lucianoaguirre/titanic-ml-from-disaster-submit", "kernel_id": "40179532"}, {"ref": "norr3ll/dig-rec-cnn", "kernel_id": "40526585"}, {"ref": "davidchenproof/digit-recognition", "kernel_id": "40823615"}, {"ref": "wasifjavedmalik/notebook5dc12b231b", "kernel_id": "40355668"}, {"ref": "dylanmeleisea/nn-for-mnist-using-numpy", "kernel_id": "40453646"}, {"ref": "qazihumayoon/pca-prac", "kernel_id": "40930697"}, {"ref": "tonnguyn1234/97-accuracy-cnn-model-really-simple", "kernel_id": "40687847"}, {"ref": "zacstewart/pytorch-mnist", "kernel_id": "41160695"}, {"ref": "jayantyadav/digit-recognizer-nn-from-scratch", "kernel_id": "41128150"}, {"ref": "tas820/mnist-using-deep-neural-net-pytorch", "kernel_id": "41612178"}, {"ref": "paulopinheiro/automl-digit-recogniser", "kernel_id": "41674913"}, {"ref": "mrinath/clip-training-2", "kernel_id": "41185125"}, {"ref": "syerramilli/mnist-simple-cnn-keras-optuna", "kernel_id": "41633339"}, {"ref": "rainrein/digit-recognizer-notebook1", "kernel_id": "41330057"}, {"ref": "rainrein/digit-recognizer-fast", "kernel_id": "41057231"}, {"ref": "yannicksteph/cnn-cv-mnist-classification", "kernel_id": "41093105"}, {"ref": "utshabkumarghosh/mnist-without-cnn", "kernel_id": "41103233"}, {"ref": "nikhilchapre/mnist-tensorflow", "kernel_id": "41821497"}, {"ref": "habibirani/digit-recognizer", "kernel_id": "41654301"}, {"ref": "ramsesmdlc/mnist-linear-classification", "kernel_id": "41981396"}, {"ref": "franklinshih0617/tensorflow-mnist-tutorial", "kernel_id": "41777152"}, {"ref": "yousseftouama/mnist-deep-neural-network-with-keras", "kernel_id": "41674451"}, {"ref": "asheniranga/digit-recognizer-pytorch-starter", "kernel_id": "41705076"}, {"ref": "psrj1919/mnist-digit-classification-tutorial-using-fastai", "kernel_id": "41296420"}, {"ref": "gurucharant/digit-recognizer", "kernel_id": "41893911"}, {"ref": "momiradzemovic/vae-dimensionality-reduction-image-generation", "kernel_id": "41353182"}, {"ref": "kaledhoshme/generate-semi-conditional-data-augmentation", "kernel_id": "41099313"}, {"ref": "divakartika/inclass-keras-day-1-vulcan-night", "kernel_id": "41687758"}, {"ref": "divakartika/inclass-keras-day-1", "kernel_id": "41687096"}, {"ref": "khajistanizam/notebook-digit-recognizer", "kernel_id": "41292622"}, {"ref": "mcpenguin/digit-recognizer", "kernel_id": "41810143"}, {"ref": "jvthunder/pytorch-resnet-for-mnist", "kernel_id": "41257347"}, {"ref": "nasruddinaz/handdigits-handwritten-digit-recognition-mnist", "kernel_id": "41042255"}, {"ref": "yunsongli/vae-fashion", "kernel_id": "41256442"}, {"ref": "electricuser/image-classification-mnist-dataset", "kernel_id": "41666539"}, {"ref": "oussamahadad/digit-recognition-with-98-accuracy-score", "kernel_id": "41371215"}, {"ref": "katerynamedvedieva/digit-recognizer-score-0-987", "kernel_id": "41404558"}, {"ref": "andrewlxm/neuralode-robustness", "kernel_id": "41481970"}, {"ref": "yashcode00/task4-research", "kernel_id": "41696576"}, {"ref": "mohamedalimosleh/digit-recognizer-notebook", "kernel_id": "41397763"}, {"ref": "hasnaaelsawi/build-your-own-ann-from-scratch-mnist-dataset", "kernel_id": "41585342"}, {"ref": "seifeldinwael/session2", "kernel_id": "41311347"}, {"ref": "mgzotero/mnist-pytorch", "kernel_id": "41751987"}, {"ref": "saraghasemirad/digit-recognizer", "kernel_id": "41294486"}, {"ref": "dhruv7302/extracting-important-features-using-random-forest", "kernel_id": "41010032"}, {"ref": "mahmoudghareeb/thought-process-to-get-99-9", "kernel_id": "41867377"}, {"ref": "stefancomanita/lenet5-nn-in-pytorch-applied-to-digit-recognition", "kernel_id": "41080764"}, {"ref": "orianenedey/digits-recognizer", "kernel_id": "41931967"}, {"ref": "geromeandrewducduc/digit-recognizer-99-accuracy", "kernel_id": "41930873"}, {"ref": "lukabarbakadze/visiontransformer-from-scratch", "kernel_id": "41486570"}, {"ref": "aravindas01/digit-recognition-using-pca-and-svm", "kernel_id": "41701328"}, {"ref": "ghazanfarali96/digits-identify-using-conv2d", "kernel_id": "41776754"}, {"ref": "cuneyterem8/notebookfd103cbe7c", "kernel_id": "41968847"}, {"ref": "avishekchy1578/mnist-784-cnn-handwritten-digit-recognition", "kernel_id": "41436583"}, {"ref": "mayukham/nn-from-scratch", "kernel_id": "41671600"}, {"ref": "abrorbalxiyev/classification-with-nn", "kernel_id": "41797745"}, {"ref": "azimi2kht/mnist-simple-cnn-model-with-dropout-98-48", "kernel_id": "41785559"}, {"ref": "katsuya1112/digit-recognizer", "kernel_id": "41388267"}, {"ref": "alexwerben/mnist-digits-classification-98-9-accuracy", "kernel_id": "41033021"}, {"ref": "kryko7/digit-recognizer-with-pytorch", "kernel_id": "41718591"}, {"ref": "golammostofas/digit-classification-easy-with-cnn", "kernel_id": "41540083"}, {"ref": "shariqaftab333/digit-recognition", "kernel_id": "41492743"}, {"ref": "melnikdm/digit-recognizer-svm-catboost", "kernel_id": "41361028"}, {"ref": "commoncoder/assignment-2-part-2", "kernel_id": "41073389"}, {"ref": "mustafasoner/mnist-digit-dataset", "kernel_id": "41439554"}, {"ref": "chanchal24/digit-recognizer", "kernel_id": "41802618"}, {"ref": "cezarr/mnist-tutorial-using-fastai-and-pytorch", "kernel_id": "41733302"}, {"ref": "liamarguedas/mnist-deep-learning", "kernel_id": "41388630"}, {"ref": "reshes/cnn-on-pytorch-with-0-99571-accuracy", "kernel_id": "41926896"}, {"ref": "isoyeverkin/feed-forward-network", "kernel_id": "41967934"}, {"ref": "sanjanchaudhari/digit-recogniser-using-python", "kernel_id": "41181188"}, {"ref": "sonu1maheshwari/applying-pca-on-mnist", "kernel_id": "41999773"}, {"ref": "mingyuchen/final", "kernel_id": "41482363"}, {"ref": "surajsinha10/digit-recognition-rf-xgb-ann-cnn-99", "kernel_id": "41619047"}, {"ref": "achrafkhabar/cnn-digits-recognition", "kernel_id": "41323469"}, {"ref": "artemhrachov/notebookaa0b5f9c7e", "kernel_id": "41656156"}, {"ref": "priyash07/cnn-98", "kernel_id": "41535935"}, {"ref": "emadbazmandegan/digit-recognizer-with-conv-layers", "kernel_id": "41477299"}, {"ref": "jovanchua/digit-recognizer", "kernel_id": "41116075"}, {"ref": "aounullahkhan/digit-recongnization-using-cnn", "kernel_id": "41007006"}, {"ref": "dharshanadhanendran/digitreconizer-cnn", "kernel_id": "41628283"}, {"ref": "speedystrider/mnist-neural-network-fixed", "kernel_id": "41912531"}, {"ref": "marcobonato09/neural-network-with-numpy", "kernel_id": "41042247"}, {"ref": "osmansefacoar/digit-recognizer-cnn-accuracy-0-989", "kernel_id": "41542782"}, {"ref": "osmansefacoar/resnet18-with-pytorch", "kernel_id": "41791453"}, {"ref": "osmansefacoar/cnn-with-pytorch-0-9923-accuracy", "kernel_id": "41775631"}, {"ref": "kesanamashinee/digit-recognizer-using-tensorflow-and-keras", "kernel_id": "41355419"}, {"ref": "abdelrahmanahmed110/digit-recognizer", "kernel_id": "41569093"}, {"ref": "mdshojebhossain/resnet50-and-squeezenet-vgg16-ham10000", "kernel_id": "41133342"}, {"ref": "rundalomary/deep-c", "kernel_id": "41465847"}, {"ref": "yunsuxiaozi/crnn-ctcloss", "kernel_id": "41817491"}, {"ref": "yunsuxiaozi/study-note-capsule-network", "kernel_id": "41213574"}, {"ref": "naziakamali/hyper-parameter-tuning", "kernel_id": "41518547"}, {"ref": "naziakamali/digit-recogniser", "kernel_id": "41445631"}, {"ref": "kausthubkannan/digit-recogniser", "kernel_id": "41763319"}, {"ref": "marianos42/3-mnist-cnn-cross-validation-lrscheduler", "kernel_id": "41266691"}, {"ref": "marianos42/4-mnist-ensemble-bagging", "kernel_id": "41874221"}, {"ref": "wukongjie/follow-me-to-the-mnist-pytorch-cnn-0-995", "kernel_id": "41566397"}, {"ref": "wukongjie/cnn-mnist-pytorch-gpu", "kernel_id": "41409814"}, {"ref": "himanshukumar7079/neural-network-digit-recoginition", "kernel_id": "41119493"}, {"ref": "manshirathour/digit-recognizer", "kernel_id": "41422574"}, {"ref": "busangmfaladi/mnist-resnet18-with-fast-ai", "kernel_id": "41997233"}, {"ref": "pentakrishnakishore/digit-recognition-neural-network", "kernel_id": "41919348"}, {"ref": "stormy420/mnist", "kernel_id": "41296071"}, {"ref": "cavidanzeynalov/mnist-digit-recognizer-with-no-tf-pytorch", "kernel_id": "41462062"}, {"ref": "maxagrafa/solution-with-cnn-99-5-accuracy", "kernel_id": "41786910"}, {"ref": "kemalfaruktalay/digitrecognizer-with-cnn-acc-99", "kernel_id": "41495401"}, {"ref": "ahmedali74/digit-recog-using-knn-and-pca-confusionmatrix", "kernel_id": "41473886"}, {"ref": "sairushikjasti/digitrecogniser", "kernel_id": "41559087"}, {"ref": "sairushikjasti/digitrecog-pytorch", "kernel_id": "41596109"}, {"ref": "moazeldsokyx/mnist-digit-recognizer-cnn-with-99-accuracy", "kernel_id": "41647240"}, {"ref": "enricopiffer/classifier-with-simple-custom-cnn", "kernel_id": "41995700"}, {"ref": "cody11null/simple-keras-deep-learning-top-1", "kernel_id": "41373772"}, {"ref": "osamaabobakr/thought-process-to-get-99-9", "kernel_id": "41947504"}, {"ref": "thanos8p/digit-recognizer", "kernel_id": "41640133"}, {"ref": "vijaysubhashp/handwritten-digit-recognition", "kernel_id": "41276066"}, {"ref": "akimlavrinenko/my-digitrrecognition-nn", "kernel_id": "41622064"}, {"ref": "abuhuzaifahbidin/nn-from-scratch", "kernel_id": "41139346"}, {"ref": "leonhardpiff/looped-dense-layer-success", "kernel_id": "41996731"}, {"ref": "divyanshsharma2280/simple-mnist-nn-from-scratch-numpy-no-tf-13bc56", "kernel_id": "41101141"}, {"ref": "omariovic/digits-neural-networks-and-u", "kernel_id": "41718746"}, {"ref": "dhairyapandya1/pca-component-reduction", "kernel_id": "41068300"}, {"ref": "beratkargin/digit-recognizer-with-cnn", "kernel_id": "41778402"}, {"ref": "ayush12nagar/digit-recognizer", "kernel_id": "41412549"}, {"ref": "mohammeddasif/cnn-tf", "kernel_id": "41501341"}, {"ref": "shashankshekhar1205/mnist-nn-from-scratch", "kernel_id": "41074430"}, {"ref": "marquis03/mnist-digit-recognizer-using-knn", "kernel_id": "41330051"}, {"ref": "marquis03/mnist-digit-recognizer-using-lightgbm", "kernel_id": "41330924"}, {"ref": "marquis03/mnist-digit-recognizer-using-random-forest", "kernel_id": "41330570"}, {"ref": "marquis03/mnist-digit-recognizer-using-naive-bayes", "kernel_id": "41330376"}, {"ref": "marquis03/mnist-digit-recognizer-using-xgboost", "kernel_id": "41330752"}, {"ref": "marquis03/mnist-digit-recognizer-using-svm", "kernel_id": "41300968"}, {"ref": "mu6tf2/digit-recognition-neural-network", "kernel_id": "41510720"}, {"ref": "drewku42/dm-digit-recognizer-1", "kernel_id": "41744610"}, {"ref": "tanyaarya19/digit-recognizer-2023", "kernel_id": "41610421"}, {"ref": "maharnabsaikia/convolutional-nets-for-kaggle-digit-recognition", "kernel_id": "41855312"}, {"ref": "kaushikkrsarma/digit-recogniser-random-forest", "kernel_id": "41239219"}, {"ref": "ashwiniwawale/minist-dataset", "kernel_id": "41322834"}, {"ref": "shathaalturke/digits-recognition-with-data-agumentation-use-knn", "kernel_id": "41794418"}, {"ref": "prathameshdjoshi/notebook45f0485705", "kernel_id": "41729317"}, {"ref": "anouartayi/digit-recognizer", "kernel_id": "41105302"}, {"ref": "xujinyi2003/digit", "kernel_id": "41302120"}, {"ref": "engmac/digit-recogniser", "kernel_id": "41113266"}, {"ref": "denyskryvytskyi/digit-recognizer-tf-cnn", "kernel_id": "41423363"}, {"ref": "srikanthsamy/digitrecognizer", "kernel_id": "41406339"}, {"ref": "kendeng123/template-mnist-pytorch", "kernel_id": "41502072"}, {"ref": "maxr2418/simple-digit-recognizer-with-cnn-99-95-top-2", "kernel_id": "41098139"}, {"ref": "maxr2418/multiple-cnn-ensemble-learning", "kernel_id": "41139952"}, {"ref": "positivesas/digit-recognizer-with-cnn", "kernel_id": "41905210"}, {"ref": "supemovaa/digit-recognizer-with-resnet18", "kernel_id": "41363147"}, {"ref": "python8723/digit-reco-multi-layer-perceptron", "kernel_id": "41248339"}, {"ref": "neelabhv3/digit-recognizer", "kernel_id": "41289193"}, {"ref": "orangekitten/mnist-digit-recognizer-using-svm", "kernel_id": "41342887"}, {"ref": "plivdan/capsule-network-99-47", "kernel_id": "41473410"}, {"ref": "fayizmohideen/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "41444567"}, {"ref": "ashutoshdevpura/digit-recognizer-keras-and-tensorflow", "kernel_id": "41916919"}, {"ref": "hsw1212/mnist-digitrecognizer-convnet", "kernel_id": "41816212"}, {"ref": "hubble0123/mnist", "kernel_id": "41945499"}, {"ref": "ccjulia/20230820-digit-rec", "kernel_id": "42268166"}, {"ref": "ccjulia/kmeans-mnist", "kernel_id": "42271010"}, {"ref": "hlud6646/digits", "kernel_id": "42617212"}, {"ref": "natasha23/digit-recognizer-mnist-data-python", "kernel_id": "42555847"}, {"ref": "ivanburmaka/simple-cnn-classifier", "kernel_id": "42134959"}, {"ref": "abhi10699/autoencoders-01-mnist", "kernel_id": "42535900"}, {"ref": "rainrein/digit-recognizer-notebook2-using-keras", "kernel_id": "42681126"}, {"ref": "skywolfmo/ml-in-depth-generative-ai-how-to-train-your-gan", "kernel_id": "42041077"}, {"ref": "adikaboost/digits-tinyvgg-model-pytorch", "kernel_id": "42949515"}, {"ref": "dmitryellison/fcnn-with-lasso-and-ridge-regularization-pytorch", "kernel_id": "42422427"}, {"ref": "dillonmyrick/keras-mnist-with-cnn-transfer-learning", "kernel_id": "42011216"}, {"ref": "sergenkaraoglan/keras-core-mnist", "kernel_id": "42226936"}, {"ref": "brianliangtw/self-training-domain-adaptation-mnist-usps", "kernel_id": "42452240"}, {"ref": "cihangiryiit/mnist-playground", "kernel_id": "42425810"}, {"ref": "dsypasit/ai-experiment", "kernel_id": "42479564"}, {"ref": "chanzone/notebook-degit-recognizer", "kernel_id": "42418476"}, {"ref": "aycone/digit-recognition", "kernel_id": "42689947"}, {"ref": "bhaveshmittal/digit-recognition-using-cnn-top-4", "kernel_id": "42047965"}, {"ref": "haadbhutta/mnist-99-5-easy-well-documented", "kernel_id": "42574341"}, {"ref": "yyangsshh/random-affine-noise-99-guaranteed-pytorch", "kernel_id": "42152236"}, {"ref": "chandlerkenworthy/mnist-digits-cnn-99-03", "kernel_id": "42981286"}, {"ref": "akshpreetsingh/pca-demo-1", "kernel_id": "42942914"}, {"ref": "chetwinlow/mnist-with-dataset", "kernel_id": "42514747"}, {"ref": "nishchay331/c3-digit-recognizer", "kernel_id": "42714221"}, {"ref": "snehalbhagwatkar/bidirectional-lstm-on-mnist", "kernel_id": "42178524"}, {"ref": "nehareddym/challenge-digit", "kernel_id": "42021396"}, {"ref": "yonkotoshiro/digit-recognizer-with-pytorch-cnn", "kernel_id": "42038221"}, {"ref": "per0xy/digit-recognizer", "kernel_id": "42996930"}, {"ref": "amankumar234/digit-classification-cnn-score-99-8-rank-36", "kernel_id": "42891714"}, {"ref": "khan7715/digit-recognizer-with-resnet18", "kernel_id": "42531220"}, {"ref": "minemine12345678/mnist", "kernel_id": "42903966"}, {"ref": "mohankrishnan08/notebooke18da5317b", "kernel_id": "42545712"}, {"ref": "shineychandan/digit-recognizer-using-various-activation-function", "kernel_id": "42357696"}, {"ref": "iamalok73/build-neural-network", "kernel_id": "42148559"}, {"ref": "chetkiypocik/digit-recognizer-comp", "kernel_id": "42655031"}, {"ref": "dmytrokainara/cnn-with-accuracy-over-0-99", "kernel_id": "42333395"}, {"ref": "martinvelkov/digit-recognizer", "kernel_id": "42247558"}, {"ref": "dhruv7302/digit-recognizer-using-ann", "kernel_id": "42968400"}, {"ref": "ahmedelashrybdm/digit-recognizer", "kernel_id": "42249150"}, {"ref": "varunnagpalspyz/generative-bayesian-classification-from-scratch", "kernel_id": "42682690"}, {"ref": "witoldnowogrski/mnist-digit-recognizer-using-cnn", "kernel_id": "42349519"}, {"ref": "glebmokeev/mnist", "kernel_id": "42334717"}, {"ref": "vidhikishorwaghela/digit-recognizer-mnist-98-43-accuracy-dnn", "kernel_id": "42186783"}, {"ref": "priyamsaha17/three-approaches-mnist-99-30-accuracy", "kernel_id": "42925186"}, {"ref": "jackksoncsie/navie-bayes-from-scratch", "kernel_id": "42715388"}, {"ref": "mostafamohammednouh/handwritten-digit-recognition-cnn-keras", "kernel_id": "42765989"}, {"ref": "ayahazem6103/mnist-digit-recognizer-acc-99-375", "kernel_id": "42461052"}, {"ref": "parsasadeghiasl/cnn-with-pytorch", "kernel_id": "42130463"}, {"ref": "roshansalunke/digit-recognition-using-cnn-acc-99", "kernel_id": "42718563"}, {"ref": "yassin01/mnist-cnn", "kernel_id": "42427122"}, {"ref": "danielalbarracinm/digit-recognizer-kneighborsclassifier-97", "kernel_id": "42857878"}, {"ref": "ir1snvtien/mnist-classification-with-ml-methods-and-cnn", "kernel_id": "42940638"}, {"ref": "mdjubaerhosain/digit-recognizer-cnn", "kernel_id": "42994080"}, {"ref": "bhanux18/mnist-99", "kernel_id": "42338720"}, {"ref": "mychkvad/digit-recognizer-with-fast-ai-deep-learning", "kernel_id": "42604007"}, {"ref": "hardikjain230/digit-recognizer", "kernel_id": "42100541"}, {"ref": "tanmaybakare/digit-recognition-using-keras-cnn", "kernel_id": "42813071"}, {"ref": "rayenbouafif/deep-learning-mnist-dataset", "kernel_id": "42160228"}, {"ref": "ohagwucollinspatrick/digit-recognizer-w-cnn-keras", "kernel_id": "42738411"}, {"ref": "mh0386/digit-recognizer", "kernel_id": "42548093"}, {"ref": "jorjo2009/digit-recognition-by-numpy", "kernel_id": "42026637"}, {"ref": "ogabrieln/easy-digit-recognition-with-cnn-99-49-top-9", "kernel_id": "42637625"}, {"ref": "avinashsingh2000/simple-digit-recognizer", "kernel_id": "42009574"}, {"ref": "ang007/digit-recognizer-2", "kernel_id": "42792122"}, {"ref": "skv1436/mnist-cnn-accuracy-0-99", "kernel_id": "42666783"}, {"ref": "sitanshuanmol/digit-recognizer-using-neural-networks", "kernel_id": "42010062"}, {"ref": "enricomanosperti/digit-recognizer-99-score", "kernel_id": "42181214"}, {"ref": "pyrotech/image-datagen-99-score-mnist", "kernel_id": "42605494"}, {"ref": "teerthpatel1701/mnist-competition", "kernel_id": "42735749"}, {"ref": "kabeer2004/recognizing-digits-with-keras-mnist", "kernel_id": "42994332"}, {"ref": "aryankoganti/digit-recognizer", "kernel_id": "42553862"}, {"ref": "maryamnoroozi68/generate-images-by-using-rbm-on-mnist", "kernel_id": "42588762"}, {"ref": "mehmetarifkuzgunnn/digit-recognizer-cnn-with-pytorch", "kernel_id": "42472638"}, {"ref": "muhammadmustehson2/digit-recognizer-pytorch-0-99", "kernel_id": "42715409"}, {"ref": "kaineyamashiro/99-ac-digit-recognizer-using-best-ac-model", "kernel_id": "42931332"}, {"ref": "kaineyamashiro/high-accuracy-with-a-simplified-nn-model", "kernel_id": "42855204"}, {"ref": "midhunlalvs/digit-recognizer-mnist-dataset-with-cnn-99", "kernel_id": "42360359"}, {"ref": "ndsds42/digit-recognizer-pca-linearsvc-k-nn-svd", "kernel_id": "42591367"}, {"ref": "ndsds42/digit-recognizer-simple-mlp-2hl-pytorch", "kernel_id": "42631120"}, {"ref": "narberalgamma/mnist-classification-neural-network-from-scratch", "kernel_id": "42442449"}, {"ref": "pawankrgunjan/digit-recognizer", "kernel_id": "42111902"}, {"ref": "rcmanish27/top-13-cnn-approach", "kernel_id": "42343159"}, {"ref": "cheekati1/mnist-digit-recognizer", "kernel_id": "42038417"}, {"ref": "rongjianyee/mnist", "kernel_id": "42012349"}, {"ref": "boohdaaaan/mnist-simple-cnn-pytorch", "kernel_id": "42433290"}, {"ref": "prateiklohani/pca-mnist", "kernel_id": "42658233"}, {"ref": "kanishkbakshi2004/digit-recognition-softmax-using-tensorflow", "kernel_id": "42197376"}, {"ref": "vladbujoreanu/neural-mnist", "kernel_id": "42151880"}, {"ref": "osamaabobakr/digit-recognizer-99-accuracy", "kernel_id": "42175666"}, {"ref": "osamaabobakr/digit-recognizer-99-11", "kernel_id": "42043142"}, {"ref": "osamaabobakr/mnist-cnn-accuracy-0-9911", "kernel_id": "42734108"}, {"ref": "osamaabobakr/digit-classification-using-cnn-0-9974-score", "kernel_id": "42734233"}, {"ref": "osamaabobakr/digit-recognition-with-cnn-99-49-top-9", "kernel_id": "42734390"}, {"ref": "muhammadrifkyuntara/mnist-simple-deep-learning", "kernel_id": "42880389"}, {"ref": "sayedshaun/digit-recognizer-cnn", "kernel_id": "42449778"}, {"ref": "leonhardpiff/synthetic-gradient-attempt", "kernel_id": "42684993"}, {"ref": "leonhardpiff/mnist-cycle-gan", "kernel_id": "42947117"}, {"ref": "leonhardpiff/lightweight-memory-based-classifier-attention", "kernel_id": "42998545"}, {"ref": "amirhoseinsedaghati/digit-classification-using-cnn-0-9974-score", "kernel_id": "42633106"}, {"ref": "ahmetcanertekn/mnist", "kernel_id": "42908561"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "arijitchada/digit-recognizer-from-scratch-0-89060", "kernel_id": "42719158"}, {"ref": "goolkinsnose/notebook97d8263153", "kernel_id": "42471314"}, {"ref": "anastasiaastafeva/competition-digit-recognizer", "kernel_id": "42657451"}, {"ref": "ismetgocer/deep-learning-cnn-for-mnist", "kernel_id": "42787799"}, {"ref": "itsnavinsingh/digit-recognizer", "kernel_id": "42920618"}, {"ref": "mervzkan/mnist-with-cnn", "kernel_id": "42821935"}, {"ref": "duynguyen148/digit-recognizer", "kernel_id": "42481675"}, {"ref": "abdulwasay003958/handwriting-classifier", "kernel_id": "42580713"}, {"ref": "himrajdas/digit-recognizer", "kernel_id": "42304037"}, {"ref": "dsehkim/digit-rec", "kernel_id": "42872640"}, {"ref": "shimaazizi/digit-recognizer", "kernel_id": "42764754"}, {"ref": "muhammadawaistayyab/digit-recognizer-using-deep-learning", "kernel_id": "42883762"}, {"ref": "rizwanahmedabbasi/digit-recognizer", "kernel_id": "42918256"}, {"ref": "drewku42/dm-digit-recognizer-2", "kernel_id": "42596236"}, {"ref": "valeriamulina/digit-recognizer-image-recognition-cnn", "kernel_id": "42603952"}, {"ref": "aryanbhatt007/mnist-digit-recognizer", "kernel_id": "42723803"}, {"ref": "zacharymessinger/mnist-classification", "kernel_id": "42475301"}, {"ref": "talhabarkaatahmad/digit-recognization-deep-learning-ann", "kernel_id": "42918495"}, {"ref": "malabhbakshi/digit-recognizer-using-resnets", "kernel_id": "42217360"}, {"ref": "adelinmil/road-to-the-99", "kernel_id": "42350729"}, {"ref": "naliniajwani/image-recognition", "kernel_id": "42601736"}, {"ref": "mansi0123/digit", "kernel_id": "42550064"}, {"ref": "sachinpatil1280/digit-recognition-image-classification-cnn-99-6", "kernel_id": "42905701"}, {"ref": "ahmadjahangard/mnist-with-lenet-and-resnet", "kernel_id": "42065120"}, {"ref": "sainneha/pca-demo", "kernel_id": "42110783"}, {"ref": "hbiris/resnet18", "kernel_id": "42799356"}, {"ref": "plivdan/mnist-fourier-squeeze-excitation", "kernel_id": "42203979"}, {"ref": "amparviz/notebook8eac0f7de6", "kernel_id": "42753694"}, {"ref": "atuzen/how-powerful-are-regularizations-in-cnn", "kernel_id": "42724507"}, {"ref": "leotopalogloumundy/mlp-digit-recognizer", "kernel_id": "42434317"}, {"ref": "hsw1212/pytorch-gan-basic-tutorial-for-beginner", "kernel_id": "42323375"}, {"ref": "leongqijin/digit-recognizer", "kernel_id": "42272146"}, {"ref": "mumarkhan/cross-validation-on-decision-tree-classification", "kernel_id": "42145459"}, {"ref": "mumarkhan/avoiding-the-curse-of-dimensionality-using-pca", "kernel_id": "42147513"}, {"ref": "mumarkhan/pca-on-multiple-classification-algorithms-on-mnist", "kernel_id": "42152235"}, {"ref": "krishnamishras/pca-technique", "kernel_id": "42963628"}, {"ref": "ankitanain/principleca3", "kernel_id": "42806952"}, {"ref": "peterkagglelong/mnist-linear-classification", "kernel_id": "42141520"}, {"ref": "rugvedpalodkar/digit-recognition-only-numpy-and-python", "kernel_id": "42120096"}, {"ref": "devyanichavan/pca-demo", "kernel_id": "42284380"}, {"ref": "def0017/digit-recognizer-using-cnn", "kernel_id": "42519200"}, {"ref": "hamimhuzaifa/mnist-with-basic-nn", "kernel_id": "42239790"}, {"ref": "keeeeeen/digit-recognition-4", "kernel_id": "42929401"}, {"ref": "sriyanshsrivastava99/mnist-with-pca-and-without-pca-model-training", "kernel_id": "42906385"}, {"ref": "japeralrashid/digit-recognizer-classification-sequential-api", "kernel_id": "42764821"}, {"ref": "lovenkatesh123/venkat-digit-recognizer", "kernel_id": "42704651"}, {"ref": "pasindujr/digit-recognition", "kernel_id": "42667457"}, {"ref": "shahramzs/mnist-cnn-model", "kernel_id": "42720982"}, {"ref": "qr1025/classifier", "kernel_id": "42839060"}, {"ref": "quackaddict7/how-i-scored-top-5-on-mnist-without-cheating", "kernel_id": "42793882"}, {"ref": "bigyanbhatta1193/pca-mnist-dataset", "kernel_id": "42937248"}, {"ref": "elanderos/mnist-data-augmentation-and-cnn-tuning", "kernel_id": "43278165"}, {"ref": "stopwhispering/mnist-digits-classification-simple-torch-cnn", "kernel_id": "43340467"}, {"ref": "stopwhispering/mnist-digits-classification-extended-torch-cnn", "kernel_id": "43323071"}, {"ref": "nimisha21/pca-application-on-mnist", "kernel_id": "43941259"}, {"ref": "lexuanhieu131297/fork-of-pytorch-multi-layer-perceptron-mnist", "kernel_id": "43458847"}, {"ref": "lanzy007/25-million-images-0-99757-mnist", "kernel_id": "43592379"}, {"ref": "uygarkk/youtube-vit-implementation", "kernel_id": "43531605"}, {"ref": "sh2orc/mnist-with-cnn-expanded-dataset-99-95-top-2", "kernel_id": "43585139"}, {"ref": "hoangminhle/mnist-digit-recognizer-with-multi-layer-perceptron", "kernel_id": "43778946"}, {"ref": "kushal1506/pytorch-vae-mnist", "kernel_id": "43726366"}, {"ref": "yazanjian/mnist-dataset", "kernel_id": "43916329"}, {"ref": "jeffreyesedo/1st-svm-model-notebook", "kernel_id": "43146308"}, {"ref": "jeffreyesedo/1st-knn-model-notebook", "kernel_id": "43147585"}, {"ref": "jeffreyesedo/1st-nn-model-notebook", "kernel_id": "43048974"}, {"ref": "ahmedhosni00/mnist-with-cnn", "kernel_id": "43469578"}, {"ref": "chamathkamaddugoda/digit-recognizer", "kernel_id": "43520244"}, {"ref": "gokulprazath/digit-recognization-using-cnn", "kernel_id": "43407136"}, {"ref": "revanth2509/pytorch-cnn-regularization-accuracy-99", "kernel_id": "43287318"}, {"ref": "surbhitk/mnist-digit-classifier-cnn", "kernel_id": "43845354"}, {"ref": "sakalarahul/digit-recognition-image-classification-using-cnn", "kernel_id": "43296350"}, {"ref": "stuartfong/qm-6-mnist-pytorch", "kernel_id": "43573334"}, {"ref": "dragon2002/mnist-cnn", "kernel_id": "43244213"}, {"ref": "mohammadsanjakdar/mnist-first", "kernel_id": "43601498"}, {"ref": "amanmukati/digit-recognizer", "kernel_id": "43532191"}, {"ref": "yannan90/digit-recognizer-cnn-ensemble", "kernel_id": "43608380"}, {"ref": "mathurmudit2022/cnn-model-pure-mathematics", "kernel_id": "43805466"}, {"ref": "fareselmenshawii/comprehensive-pytorch-tutorial", "kernel_id": "43856297"}, {"ref": "sergeypolivin/digits-recognition-using-cnn-in-pytorch", "kernel_id": "43914246"}, {"ref": "nathanrichard/quick-view-knn-classifier-and-cnn-with-keras", "kernel_id": "43348321"}, {"ref": "yusuphmustaphaladi/simple-random-forest-for-beginners", "kernel_id": "43801480"}, {"ref": "yusuphmustaphaladi/implementing-fastai-for-computer-vision", "kernel_id": "43803495"}, {"ref": "issamansour/mnist-no-overfitting-top-5-accuracy-99-6", "kernel_id": "43881445"}, {"ref": "sofiakravchenko/digit-recognizer-with-some-reshapes-and-cnn", "kernel_id": "43032276"}, {"ref": "harmandeepsinghpadam/rnn-with-architecture-for-beginner-pytorch", "kernel_id": "43377551"}, {"ref": "izammohammed/all-ml-algos", "kernel_id": "43226186"}, {"ref": "jackmisaac/digitrecognitionmnist", "kernel_id": "43765346"}, {"ref": "vladislavudalov/number-recognition", "kernel_id": "43603796"}, {"ref": "proffreakenstien/cr-from-scratch", "kernel_id": "43442617"}, {"ref": "hossamahmedsalah/unsupervised-learn-msp-ica-pca-k-means", "kernel_id": "43271408"}, {"ref": "hossamahmedsalah/artifitial-neural-networks-msp", "kernel_id": "43397630"}, {"ref": "sunilthite/digit-recognizer-using-cnn-testing-data-acc-99", "kernel_id": "43494408"}, {"ref": "sunilthite/digit-recognizer-using-cnn-accuracy-99", "kernel_id": "43324168"}, {"ref": "sunilthite/digit-recognizer-using-ann-accuracy-99", "kernel_id": "43319880"}, {"ref": "vaibhavsanepara/digit-recognizer-simple-ann", "kernel_id": "43375276"}, {"ref": "vishakhprakash/notebook522fd9ec49", "kernel_id": "43023361"}, {"ref": "satyajeetjadhav27/digit-recognizer", "kernel_id": "43832819"}, {"ref": "satyajeetjadhav27/fork-of-digit-recognizer", "kernel_id": "43855899"}, {"ref": "mahmoudhussienmo/supportvectorclassifier-svc-97-5-score", "kernel_id": "43509331"}, {"ref": "mahmoudhussienmo/knearestneighbors-knn-97-score", "kernel_id": "43509058"}, {"ref": "prasadmeesala/digit-recognizer-mnist", "kernel_id": "43894045"}, {"ref": "endofnight17j03/digit-recognizer", "kernel_id": "43969887"}, {"ref": "sreyaash/handwritten12", "kernel_id": "43025998"}, {"ref": "laxminarayanasahu/mnist-dataclassification", "kernel_id": "43372832"}, {"ref": "harshinithangavelts/ml-digit-recognition", "kernel_id": "43640473"}, {"ref": "tawfikelmetwally/mnist-digit-recognizer-99-38-accuracy", "kernel_id": "43466875"}, {"ref": "psyreddy07/digit-recognition", "kernel_id": "43809542"}, {"ref": "mahdisyed/digit-recognizer", "kernel_id": "43209489"}, {"ref": "sontymto/fork-of-mnist-resnet-for-beginner", "kernel_id": "43136416"}, {"ref": "alexeyshevchenko/digit-recognition-with-cnn-mnist-top-7", "kernel_id": "43530816"}, {"ref": "anhoangvo/ann-model-tuning-and-cnn-model-score-0-99435", "kernel_id": "43102005"}, {"ref": "galalqassas/digit-recognizer-using-k-nearest-neighbors-knn", "kernel_id": "43517561"}, {"ref": "galalqassas/digits-recognizer-using-cnn", "kernel_id": "43548413"}, {"ref": "mahmoudalshazly/digitrecognizer-with-cnn-acc-99", "kernel_id": "43190290"}, {"ref": "tushar9085/hand-digit-classification-using-one-layer-nn", "kernel_id": "43393137"}, {"ref": "hoanglongroai/99-accuracy-in-digit-recognization", "kernel_id": "43210450"}, {"ref": "uom200389c/artificial-neural-network-from-scratch", "kernel_id": "43804409"}, {"ref": "leonhardpiff/custom-gradient-starter-tensorflow", "kernel_id": "43683506"}, {"ref": "singhayush16/digit-recognizer-using-deep-learning", "kernel_id": "43283924"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "nuqman/mnist-from-scratch-2-hidden-layers", "kernel_id": "43103875"}, {"ref": "muhammadawaistayyab/digit-recognizer-using-cnn", "kernel_id": "43184022"}, {"ref": "rizwanahmedabbasi/digit-recognition-using-cnn", "kernel_id": "43188347"}, {"ref": "wtstephens/digit-recognizer-with-chainer-mlp-model", "kernel_id": "43744617"}, {"ref": "talhabarkaatahmad/digit-recognization-cnn", "kernel_id": "43335796"}, {"ref": "dnayan/digit-recognition-mnist-dataset", "kernel_id": "43291134"}, {"ref": "dnayan/mnist-using-cnn", "kernel_id": "43295208"}, {"ref": "harshpatelind13/digit-recognition-ann", "kernel_id": "43379191"}, {"ref": "gabrieldossantoslima/curso-mlp-simples-com-keras-para-iniciantes", "kernel_id": "43383867"}, {"ref": "abderraouflahmar/mnist-handwritten-digits-recognition-with-softmax", "kernel_id": "43620951"}, {"ref": "urbanspr1nter/digit-recognizer-mnist", "kernel_id": "43875995"}, {"ref": "parv09/neural-network-from-scratch", "kernel_id": "43557538"}, {"ref": "anthonytherrien/99-61-number-nemesis", "kernel_id": "43301904"}, {"ref": "anthonytherrien/99-12-small", "kernel_id": "43366112"}, {"ref": "touhidurrr/recognize-digits-with-cnn", "kernel_id": "43065943"}, {"ref": "aqeelaaseem1/notebookfeff956596", "kernel_id": "43005995"}, {"ref": "aqeelaaseem1/notebook0735636cbb", "kernel_id": "43006143"}, {"ref": "rishijith/notebookc99cf47a79", "kernel_id": "43023335"}, {"ref": "nivedb/notebooke2dd321ac5", "kernel_id": "43026704"}, {"ref": "mohamedelsayedoh/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "43123307"}, {"ref": "junaidiqbalji/junaid-iqbal-pca-and-without-pca", "kernel_id": "43112101"}, {"ref": "andrewjrowe/digit-finder", "kernel_id": "43163490"}, {"ref": "nickoreese/digit-recognizer-cnn-rfc-parameter-tuning", "kernel_id": "43233241"}, {"ref": "tlridr/mnist-number-pred", "kernel_id": "43417095"}, {"ref": "johnnydoyes/all-ml-algos", "kernel_id": "43488039"}, {"ref": "nishantpatel54/digitclassifiernn", "kernel_id": "43502555"}, {"ref": "vintuss/demo-chap2-multilayer-perceptron-mnist", "kernel_id": "43724210"}, {"ref": "alexandremartel2201/start-go-apprentissagene-alexandre-martel", "kernel_id": "43604841"}, {"ref": "regnens/dqt-fork-of-pytorch-multi-layer-perceptron", "kernel_id": "43818456"}, {"ref": "junweileee/mnist-digit-recognizer", "kernel_id": "43901112"}, {"ref": "tombmnt/test-nn-mnist", "kernel_id": "43817245"}, {"ref": "wagnerikeda/mnist-vector-database-00-score-0-968", "kernel_id": "44444218"}, {"ref": "twinpilgrim/using-fastai-to-find-the-best-resnet-model", "kernel_id": "44695480"}, {"ref": "twinpilgrim/basic-fastai-and-resnet34", "kernel_id": "44592001"}, {"ref": "jackvial/uiua-inference", "kernel_id": "44677849"}, {"ref": "renegf/mnist-digit-recognition-3-solutions", "kernel_id": "44416636"}, {"ref": "barrettotte/digit-recognizer-pytorch", "kernel_id": "44054811"}, {"ref": "mmellinger66/multiple-classifiers-from-scratch-6-86x", "kernel_id": "44772297"}, {"ref": "rainrein/datarec3", "kernel_id": "44025958"}, {"ref": "rainrein/digitrecogniser4", "kernel_id": "44391313"}, {"ref": "ruyannasser/deep-learning", "kernel_id": "44758723"}, {"ref": "turhancankargin/recognizing-handwritten-digits-with-cnn", "kernel_id": "44219513"}, {"ref": "mexwell/pytorch-cnn-digit-recognizer", "kernel_id": "44995016"}, {"ref": "johnnyfung3/mnist-simple-cnn", "kernel_id": "44861720"}, {"ref": "thomaswarford/mnist-autoencoder-clustering", "kernel_id": "44533653"}, {"ref": "asheniranga/variational-autoencoder-with-pytorch", "kernel_id": "44901737"}, {"ref": "kushal1506/pytorch-conditional-gan", "kernel_id": "44591419"}, {"ref": "jigglyjonny/first-mnist", "kernel_id": "44934639"}, {"ref": "hiroshisakiyama/top-score-using-nearest-neighbours-without-gpu", "kernel_id": "44567772"}, {"ref": "alexmehta/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "44744166"}, {"ref": "notsosimppole/stacking-ensemble-of-resnet-and-efficientnet", "kernel_id": "44155157"}, {"ref": "gulsahseher/digit-recognizer-using-cnn", "kernel_id": "44664811"}, {"ref": "icees8/icees8-aivctf-solutions", "kernel_id": "44302005"}, {"ref": "cleytoncandeira/digit-recognizer-0-99210", "kernel_id": "44517450"}, {"ref": "junhyeonkwon/comprehensive-pytorch-tutorial-cell-4-3", "kernel_id": "44900145"}, {"ref": "ghazouanihaythem/introduction-to-cnn-keras", "kernel_id": "44008329"}, {"ref": "mdsajjad333/digit-recognition-ml-ann", "kernel_id": "44645688"}, {"ref": "ryuukkk/mnist-digits-recognition", "kernel_id": "44075862"}, {"ref": "otakuking/hhhhh", "kernel_id": "44126988"}, {"ref": "anujsingh55/mnist-resnet50-transfer-learning", "kernel_id": "44127064"}, {"ref": "chuongthi/cnn-digit-recognizer", "kernel_id": "44522624"}, {"ref": "musaalamdar/digit-recognize", "kernel_id": "44876122"}, {"ref": "zhijiao/lzu-oss-example", "kernel_id": "44032757"}, {"ref": "x1akshay/cnn-digit-recog", "kernel_id": "44306953"}, {"ref": "aagyapalkaur/top10-digit-recognizer-cnn", "kernel_id": "44422576"}, {"ref": "rahul416/mnist-dataset", "kernel_id": "44633654"}, {"ref": "shellsquareganeshan/handwritten-digit-recognizer-using-cnn", "kernel_id": "44395405"}, {"ref": "tusharchauhan04/mnist-resnet50-transfer-learning-6709ed", "kernel_id": "44129235"}, {"ref": "rajsahu2004/pytorch", "kernel_id": "44639384"}, {"ref": "ashx010/digit-recognizer-99-6-computer-vision", "kernel_id": "44163738"}, {"ref": "luizclaudioandrade/digit-recognizer-competition-lightning", "kernel_id": "44047372"}, {"ref": "luizclaudioandrade/digit-recognizer-competition-pytorch", "kernel_id": "44824995"}, {"ref": "leutrim/digit-recognizer-nns", "kernel_id": "44459820"}, {"ref": "travin5/keras-convolutional-neural-network", "kernel_id": "44670383"}, {"ref": "alisafaeifar/how-to-reach-0-996-accuracy", "kernel_id": "44036364"}, {"ref": "i202437fizaaamir/convolutional-neural-network-cnn-tutorial", "kernel_id": "44666535"}, {"ref": "prernashekhawat/pca-digit-recognizer", "kernel_id": "44039206"}, {"ref": "neerajkumar75260/digit-recognizer-analysis-cnn-model", "kernel_id": "44941235"}, {"ref": "marissacook/mc-digit-recognizer", "kernel_id": "44069241"}, {"ref": "ashutosh39/pca-on-mnist-dataset", "kernel_id": "44629475"}, {"ref": "shahriyar1988/notebook8-digit-recognizer", "kernel_id": "44062754"}, {"ref": "kruthisb999/mnist-classification-using-neural-networks", "kernel_id": "44101817"}, {"ref": "swahajraza/digit-recognizer", "kernel_id": "44836079"}, {"ref": "singhnavjot2062001/digit-recognition-using-cnn-from-scratch", "kernel_id": "44213115"}, {"ref": "georgiyfedorov/mlp-digit-classification", "kernel_id": "44179915"}, {"ref": "manoharkolla/digit-recognizer", "kernel_id": "44978133"}, {"ref": "saurabhru/digit-recognizer-using-confusion-matrix", "kernel_id": "44301354"}, {"ref": "nikitapolovnikov/mnist", "kernel_id": "44955700"}, {"ref": "seyitaliyorun/convolutional-neural-network-cnn-tutorial", "kernel_id": "44171264"}, {"ref": "seyitaliyorun/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "44169305"}, {"ref": "alberbshara/digit-recognizer-just-using-python", "kernel_id": "44088318"}, {"ref": "tatuanhai/mnist-using-neural-network-from-scratch", "kernel_id": "44919309"}, {"ref": "omariovic/mnist-with-cnn-99-95", "kernel_id": "44359996"}, {"ref": "waltuu/mnist-fast-ai", "kernel_id": "44643157"}, {"ref": "nexuswho/digit-recognizer-99-3-accurate-no-leakage", "kernel_id": "44917090"}, {"ref": "moonsolol/terry-su-digit-recognizer", "kernel_id": "44058156"}, {"ref": "rehmanbatt/convolutional-neural-network-cnn-tutorial", "kernel_id": "44654564"}, {"ref": "nameless143/digitrecog2", "kernel_id": "44883286"}, {"ref": "harshsoni2001/digit-recognition-with-cnn-0-977", "kernel_id": "44663370"}, {"ref": "gabensstuff/kaggle-digit-recognizer-cnn-with-keras", "kernel_id": "44654804"}, {"ref": "evrendurmus/my-first-digit-recognizer", "kernel_id": "44246769"}, {"ref": "jainsid24/mnist-cnn-maxpool-batchnorm-leakyrelu", "kernel_id": "44376870"}, {"ref": "rohitchintakindi/cnn-practice-mnist", "kernel_id": "44855365"}, {"ref": "furkantasci/cnn-practice-mnist", "kernel_id": "44675723"}, {"ref": "ahmedmostafaelsayed/digit-recognize-using-tf", "kernel_id": "44567042"}, {"ref": "avkrylovv/notebook50c3a3f31b", "kernel_id": "44651106"}, {"ref": "fl0a1e/digit-recognizer-0-99035-pytorch-cnn", "kernel_id": "44126771"}, {"ref": "hafizsyedmuhamadhur/notebook9d558f7f22", "kernel_id": "44184702"}, {"ref": "imenbelhechmi/introduction-to-cnn-keras1", "kernel_id": "44012726"}, {"ref": "gennadybrenkov/notebook2a8eef5f9c", "kernel_id": "44876352"}, {"ref": "zhaoxiaoda/start-go-apprentissagene-alexandre-mart-76c653", "kernel_id": "44094881"}, {"ref": "ltntin/letantien-ex3-cnn-mnist-fashion", "kernel_id": "44138826"}, {"ref": "javierspdatabase/submission-alpha", "kernel_id": "44109412"}, {"ref": "evananders/digit-recognizer-01-compare-to-mean-pixel-value", "kernel_id": "44359694"}, {"ref": "evananders/digit-recognizer-03-better-fastai-vision-model", "kernel_id": "44673115"}, {"ref": "evananders/digit-recognizer-02-fine-tune-fastai-vision-mode", "kernel_id": "44431619"}, {"ref": "aminalswidi/notebook2b62a82495", "kernel_id": "44975470"}, {"ref": "captaindeadpool53/handwritten-digit-predictor-without-frameworks", "kernel_id": "44365906"}, {"ref": "g0v1nd/simple-mnist-nn", "kernel_id": "44564040"}, {"ref": "voiceofarsalan/convolutional-neural-network-cnn-tutorial", "kernel_id": "44663889"}, {"ref": "suchithbalne/digit-recognizer", "kernel_id": "44715028"}, {"ref": "husanrahmatullayev/neural-network-digit-recognition", "kernel_id": "44826113"}, {"ref": "matthewgregson123/neural-network-for-mnist", "kernel_id": "44890623"}, {"ref": "aowada/class-13-tensorflow-demo", "kernel_id": "45271162"}, {"ref": "emphymachine/lges-dl-pytorch-tutorial", "kernel_id": "45674876"}, {"ref": "aditya1234/digitrecognizer-aditya-demo", "kernel_id": "45747917"}, {"ref": "aditya1234/digitrecognizer-aditya", "kernel_id": "45653068"}, {"ref": "shuthdar/tuning-parts-of-an-ensemble-model-separately", "kernel_id": "45876794"}, {"ref": "shuthdar/pca-and-knn", "kernel_id": "45018837"}, {"ref": "abbajabalroba/digit-recognition-with-cnn-0-977", "kernel_id": "45767359"}, {"ref": "maxim9012/digit-recognizer", "kernel_id": "45173889"}, {"ref": "tarunreddy007/digit-recognizer-with-knn-approach", "kernel_id": "45755751"}, {"ref": "karankamat/digit-recognizer-using-tensorflow", "kernel_id": "45990774"}, {"ref": "askboxnet/lb-99-446-lightning-resnet18-digit-recognizer", "kernel_id": "45443456"}, {"ref": "askboxnet/lb-97-32-lightgbm-stratifiedkfold-digit-recognizer", "kernel_id": "45441308"}, {"ref": "usmani52/pca-and-knn-on-digit-recognizer-dataset", "kernel_id": "45980485"}, {"ref": "tanvirrahmanornob/digit-recognizer-compitition", "kernel_id": "45388336"}, {"ref": "rafaelmagnusson/mnist-mlp", "kernel_id": "45279911"}, {"ref": "rafaelmagnusson/mnist-randomforest", "kernel_id": "45187873"}, {"ref": "xslyrs/digit-recognizer", "kernel_id": "45262581"}, {"ref": "marcpaulo/sklearn-mlp", "kernel_id": "45003453"}, {"ref": "sadigsago/digit-recognizer", "kernel_id": "45274160"}, {"ref": "aalexanderpanov/my-digit-recognizer", "kernel_id": "45701752"}, {"ref": "pedroamavizca/cnn-digit-recognizer", "kernel_id": "45889920"}, {"ref": "sridharstreaks/deeplearning-part-3-logistic-regression", "kernel_id": "45210632"}, {"ref": "manasvijaipurkar/digit-recognizer", "kernel_id": "45590117"}, {"ref": "kuvambhardwaj/digits-with-cnn-and-anns", "kernel_id": "45529911"}, {"ref": "aaditshukla/digit-recognize-using-logistic-regression", "kernel_id": "45215724"}, {"ref": "sanket8151/mnist-digit-recogniser", "kernel_id": "45114520"}, {"ref": "pelinkeskin/cnn-with-tensorflow-practice", "kernel_id": "45176810"}, {"ref": "priyamsaha17/mnist-study-on-5-architectures-99-30-accuracy", "kernel_id": "45352482"}, {"ref": "priyamsaha17/mnist-weighted-ensemble-99-60-accuracy", "kernel_id": "45371851"}, {"ref": "mariusborel/mnist-digits-identification", "kernel_id": "45621038"}, {"ref": "kapturovalexander/kapturov-s-solution-of-digit-recognizer", "kernel_id": "45873123"}, {"ref": "elif2000/mn-st", "kernel_id": "45489197"}, {"ref": "ridhimamishra1022/01501172021-lab4", "kernel_id": "45451234"}, {"ref": "janasamra/handwritten-digit-recognition", "kernel_id": "45738172"}, {"ref": "hoangitus0303/digit-recognize-one-hidden-layer-numpy-pandas-only", "kernel_id": "45502530"}, {"ref": "ziadwael/lenet-5-implementation-mnist-cifar10", "kernel_id": "45876597"}, {"ref": "ziadwael/colored-eginfaces-pca-implementation", "kernel_id": "45972073"}, {"ref": "akscodes/simple-pytorch-cnn-elastic-distortion-0-99lb", "kernel_id": "45735266"}, {"ref": "forgetabhi/handwritten-digit-prediction-using-knn-pca", "kernel_id": "45673458"}, {"ref": "yusuf03/digit-using-cnn-99", "kernel_id": "45554415"}, {"ref": "andyvolkov/pca-and-svc-volkov-a-a", "kernel_id": "45175004"}, {"ref": "josredondo/reconocimiento-de-caracteres", "kernel_id": "45888117"}, {"ref": "rvinitha03/digit-recognizer-compitition", "kernel_id": "45476366"}, {"ref": "omarshaaban2/mnist-using-pytorch-98-accurecy", "kernel_id": "45636772"}, {"ref": "atifmagsi/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "45116123"}, {"ref": "dishaagarwal7001/calculating-feature-importance-using-random-forest", "kernel_id": "45959183"}, {"ref": "dishaagarwal7001/precision-recall-f1-score", "kernel_id": "45630108"}, {"ref": "dishaagarwal7001/how-to-find-accuracy-metrics", "kernel_id": "45620491"}, {"ref": "chhelp/digit-recognizer", "kernel_id": "45252558"}, {"ref": "chhelp/lb-99-446-lightning-resnet18-digit-recognizer", "kernel_id": "45627703"}, {"ref": "leonhardpiff/simple-cnn-ensembler", "kernel_id": "45825108"}, {"ref": "maichibao/digit-recognize-using-logistic-regression", "kernel_id": "45241579"}, {"ref": "lipsitac/conv2d-basics-blueprint-for-success", "kernel_id": "45333506"}, {"ref": "muzammilbaloch/hand-digit-recognition-using-cnn", "kernel_id": "45740842"}, {"ref": "newzhong/digit-recognization", "kernel_id": "45973136"}, {"ref": "inderai/pytorch-starter-code", "kernel_id": "45271082"}, {"ref": "laught3/digits-recognizer-cnn-approach", "kernel_id": "45213324"}, {"ref": "lizasareen/notebook8b60ce05fe", "kernel_id": "45289488"}, {"ref": "jacobsmith927/mnist-from-scratch", "kernel_id": "45874698"}, {"ref": "goshak/basic-cnn-model-for-mnist-99-val-accuracy", "kernel_id": "45636698"}, {"ref": "rish2003abh/digit-recognition", "kernel_id": "45857041"}, {"ref": "robertlowens/bobassignment8-17", "kernel_id": "45994988"}, {"ref": "davidemad01/comp-03-digits-02", "kernel_id": "45816924"}, {"ref": "davidemad01/comp-03-digit-recognizer", "kernel_id": "45797734"}, {"ref": "stepankarpov/mnist-solver", "kernel_id": "45532135"}, {"ref": "hiddenneuron/mnist-pytorch-cnn", "kernel_id": "45560549"}, {"ref": "chasepd/classifying-handwritten-digits-with-a-keras-cnn", "kernel_id": "45129588"}, {"ref": "basmalamoustafa/cnn-digit-recognizer", "kernel_id": "45204080"}, {"ref": "dorukardaceviz/digit-recognizer-using-cnn", "kernel_id": "45723634"}, {"ref": "ankitanain/classification-metrics-multi-mnist1", "kernel_id": "45118448"}, {"ref": "thedfdgdfgdfg/digit-rec-notebook", "kernel_id": "45094755"}, {"ref": "pranjalameta/digit-recognizer-using-functional-api", "kernel_id": "45299586"}, {"ref": "ishikagoyal946/digit-recognizer", "kernel_id": "45718484"}, {"ref": "talbiothmane/notebook6dc8b60d28", "kernel_id": "45741537"}, {"ref": "daniilstepanenko/mnist-test-1", "kernel_id": "45147810"}, {"ref": "habibanaeem123/notebook23k-7819", "kernel_id": "45167392"}, {"ref": "mahnoorj/notebook23k-7811", "kernel_id": "45700398"}, {"ref": "dipayancodes/mnist-digit-recognition-with-optimized-cnn", "kernel_id": "45725703"}, {"ref": "berghidanaim/exercices", "kernel_id": "45763616"}, {"ref": "zuoshiyao/start-go-apprentisage-machine-shiyao-zuo", "kernel_id": "45690209"}, {"ref": "purusharthagarwal/purusharth-219310002-scm-2023-5e", "kernel_id": "45333024"}, {"ref": "victoriabasnina/work2", "kernel_id": "45243169"}, {"ref": "phyllomeduska/bimbimbambam", "kernel_id": "45981338"}, {"ref": "datamlengineer/recognize-handwritten-digits-using-dnn", "kernel_id": "45265042"}, {"ref": "aleixisusgrau/neuralnetwork-onlynumpy", "kernel_id": "45156740"}, {"ref": "ofirpaz/simple-cnn-for-digit-recognition", "kernel_id": "45293869"}, {"ref": "srujanmv/handwritten-digit-recognition", "kernel_id": "45289997"}, {"ref": "srujanmv/mnist-dataset-eda", "kernel_id": "45294965"}, {"ref": "srujanmv/resnet-for-mnist", "kernel_id": "45294162"}, {"ref": "bitana007/digit-recoginizer", "kernel_id": "45375880"}, {"ref": "batoulzaraket/digit-recognizer-competition-using-dl-pytorch", "kernel_id": "45520636"}, {"ref": "phanisrikanth/defcon31-llm-challenges-prompt-evolution", "kernel_id": "46206002"}, {"ref": "xavier17/mnist-simple-fastai-visionlearner", "kernel_id": "46087217"}, {"ref": "jankuper192/r-with-tensorflows-and-keras", "kernel_id": "46923277"}, {"ref": "ianchute/mnist-kernel-features-via-exemplars", "kernel_id": "46399451"}, {"ref": "ianchute/mnist-pixel-groups", "kernel_id": "46717141"}, {"ref": "tamsquare/digit-recognizer-with-keras", "kernel_id": "46374265"}, {"ref": "icefall/mnist-from-scratch", "kernel_id": "46280500"}, {"ref": "jonery/lecture-demo", "kernel_id": "46986036"}, {"ref": "simonftwi/digit-recognizer-smon", "kernel_id": "46866939"}, {"ref": "matheusparracho/creating-a-cnn-model-mnist", "kernel_id": "46624269"}, {"ref": "shahediqbalchowdhury/cnn-on-mnist-dataset-using-pytorch", "kernel_id": "46532541"}, {"ref": "a7madmostafa/effect-of-dimension-reduction", "kernel_id": "46767870"}, {"ref": "harshbansalcoder/digit-recognizer", "kernel_id": "46997526"}, {"ref": "divakartika/inclass-keras-wizard-d1", "kernel_id": "46109252"}, {"ref": "divakartika/inclass-keras-wizard-d2", "kernel_id": "46227625"}, {"ref": "divakartika/inclass-keras-wizard-d3", "kernel_id": "46283981"}, {"ref": "alaqsa/uas-deep-learning", "kernel_id": "46715231"}, {"ref": "xuanhung/mnist-pca", "kernel_id": "46601734"}, {"ref": "gvs007/cse575-hw03-q1", "kernel_id": "46895371"}, {"ref": "tanvirrahmanornob/mnist-with-and-without-convnet", "kernel_id": "46358980"}, {"ref": "eryaww/intro-to-computer-vision", "kernel_id": "46369002"}, {"ref": "mdismielhossenabir/digit-recognizer", "kernel_id": "46295884"}, {"ref": "marcpaulo/mnist-pca-knn", "kernel_id": "46616158"}, {"ref": "marcpaulo/pytorch-cnn-tutorial", "kernel_id": "46236298"}, {"ref": "stuartfong/qm-6-variational-autoencoders", "kernel_id": "46045570"}, {"ref": "sridharstreaks/deeplearning-part-4-training-on-gpus", "kernel_id": "46844664"}, {"ref": "gaddampavan/leveraging-vgg16-in-cnns-for-focused-number-identi", "kernel_id": "46367308"}, {"ref": "muhammedesaddoan/digit-recognizer-with-cnn", "kernel_id": "46945237"}, {"ref": "debrc99/mnist-simple-analysis", "kernel_id": "46316702"}, {"ref": "debrc99/svm-digit-recognizer", "kernel_id": "46324960"}, {"ref": "markkostantine/digit-recognizer-by-tensorflow-and-vgg-like", "kernel_id": "46905608"}, {"ref": "saidurabir/numerical-digit-recognition-on-mnist-dataset", "kernel_id": "46851879"}, {"ref": "orzlala/an-image-classification-model-was-trained-using-hu", "kernel_id": "46495376"}, {"ref": "danishelahi/digits-recognition", "kernel_id": "46352390"}, {"ref": "feigned/linear-project-digit-recognizer", "kernel_id": "46203285"}, {"ref": "nafiswalid/handwritten-characters", "kernel_id": "46730682"}, {"ref": "alberto95bernardi/digit-rec-keras", "kernel_id": "46872377"}, {"ref": "saigokulatmakur/kaggle-digit-recognizer", "kernel_id": "46005663"}, {"ref": "cristhianccalah/mnist-tf-cnn-digit-recognizer", "kernel_id": "46103059"}, {"ref": "haseebwar07/digit-recognizer-using-cnn", "kernel_id": "46714853"}, {"ref": "viktoriiafo/notebook68e2791d7c", "kernel_id": "46305721"}, {"ref": "prateeksingh12/digits-recognition-using-cnn-with-98-accuracy", "kernel_id": "46794638"}, {"ref": "ahmedali74/cnn-model-lenet5", "kernel_id": "46425954"}, {"ref": "deeponur/mnist-cnn", "kernel_id": "46558188"}, {"ref": "abhasmalguri/classifications-metrics", "kernel_id": "46786682"}, {"ref": "ziadehab0/digit-recognition-knn", "kernel_id": "46877904"}, {"ref": "mohammedsalahuddin/mnist-digit-recognition-with-97-accuracy", "kernel_id": "46554983"}, {"ref": "sukhmani0910/handwritten-digit-recognition", "kernel_id": "46583745"}, {"ref": "dsumarks/csc-402-4-4-digit-classifier", "kernel_id": "46765711"}, {"ref": "dsumarks/csc-402-ap17-f24", "kernel_id": "46953163"}, {"ref": "lipsitac/transfer-learning-tune-up-with-grid-search", "kernel_id": "46233409"}, {"ref": "christianlippai/cnn-for-digit-recognition", "kernel_id": "46996801"}, {"ref": "zoologiacomjp/mnist-model-with-accuracy-99", "kernel_id": "46747911"}, {"ref": "baltikainside/borisenko", "kernel_id": "46287893"}, {"ref": "xuezhouxu/mnist-classifier", "kernel_id": "46445716"}, {"ref": "siyangwu1234/0-998-augmentation-and-cnn", "kernel_id": "46867135"}, {"ref": "paulhenryngounou/handwritten-digit-recognition", "kernel_id": "46122212"}, {"ref": "bramjit/digit-recogniser-mnist-dataset", "kernel_id": "46035642"}, {"ref": "immortalcyborg/digitrecogniser", "kernel_id": "46242904"}, {"ref": "gureev1371/notebookba0695269d", "kernel_id": "46029189"}, {"ref": "karavaevsavely/labanomer2", "kernel_id": "46467112"}, {"ref": "vladislavpapenkin/digit-recognizing", "kernel_id": "46246451"}, {"ref": "tomatointhedark/ivanov-ml-lab1", "kernel_id": "46269857"}, {"ref": "s1lencef/notebookf74a7497ba", "kernel_id": "46406647"}, {"ref": "kommynest28/digit-recognizer", "kernel_id": "46449043"}, {"ref": "dmitriymikhaylov/2-numbers", "kernel_id": "46424323"}, {"ref": "elinadyadkina/notebook51d08890de", "kernel_id": "46471059"}, {"ref": "askdna/digit-recognizer-rf-svc-knn", "kernel_id": "46100190"}, {"ref": "dariamerezhepova/notebook3fc267d95b", "kernel_id": "46457425"}, {"ref": "dariamerezhepova/notebook42a9d96c15", "kernel_id": "46497997"}, {"ref": "zhuravlevavaleriya/notebook36e1adab9e", "kernel_id": "46497459"}, {"ref": "georgemgannon/cs523-p3", "kernel_id": "46426429"}, {"ref": "euginiaoya/notebookbfb98bfb79", "kernel_id": "46447716"}, {"ref": "alex410023/notebook901c47e855", "kernel_id": "46489438"}, {"ref": "makssssuper/notebook902bec391a", "kernel_id": "46526362"}, {"ref": "erdemcaliskan/group15-3", "kernel_id": "46533875"}, {"ref": "mucluo/based-on-a-simple-cnn", "kernel_id": "46541452"}, {"ref": "yarikbench/notebook1fbfa3493a", "kernel_id": "46030826"}, {"ref": "asherdmckoy/mnist-adm", "kernel_id": "46216300"}, {"ref": "arpit078/mnist-digits-detection-numpy", "kernel_id": "46316519"}, {"ref": "jonahburke/mnist-neural-network", "kernel_id": "46322696"}, {"ref": "mishaokeeffe/mishamnist", "kernel_id": "46385879"}, {"ref": "alirezafmg/az-neural-network1-0", "kernel_id": "46651393"}, {"ref": "parkersm1th/parker-s-first-neural-network", "kernel_id": "46663970"}, {"ref": "criticalchlorine/erc-nn", "kernel_id": "46816605"}, {"ref": "dheerajmpai/training-a-trillion-parameter-model-on-mnist", "kernel_id": "47054831"}, {"ref": "sabiipoks/digit-recognition-deep-learning-tutorial", "kernel_id": "47548731"}, {"ref": "kirkdco/gan-deep-dive", "kernel_id": "47219157"}, {"ref": "ianchute/mnist-pixels-t-sne-catboost", "kernel_id": "47751811"}, {"ref": "ianchute/mnist-t-sne-features", "kernel_id": "47605752"}, {"ref": "ianchute/mnist-monte-carlo-inference-zero-ml", "kernel_id": "47446300"}, {"ref": "hutch1221/ai-neuralnetwork", "kernel_id": "47394153"}, {"ref": "jojoyin/minst", "kernel_id": "47417162"}, {"ref": "mansooralam559/digit-recognition-custom-cnn-model", "kernel_id": "47817989"}, {"ref": "skrymr/mldl-mnist", "kernel_id": "47142134"}, {"ref": "morvin/nn-from-scratch", "kernel_id": "47853855"}, {"ref": "skywolfmo/ml-in-depth-contrastive-learning-visual-language", "kernel_id": "47592417"}, {"ref": "ntukai402050/simplecnn-with-batch-normalization-example", "kernel_id": "47184833"}, {"ref": "meherunnesashraboni/digit-recognition-from-scratch", "kernel_id": "47286688"}, {"ref": "vineetkumar98/digit-recognizer", "kernel_id": "47827199"}, {"ref": "shahediqbalchowdhury/cnn-on-minist-data-tensorflow", "kernel_id": "47523505"}, {"ref": "narayani99/handwritten-digit-classification-narayani-patil", "kernel_id": "47569603"}, {"ref": "danielpopov/digitrecognizer-with-cnn-tensorflow", "kernel_id": "47158660"}, {"ref": "anamariamidoripreda/how-to-choose-cnn-architecture-mnist", "kernel_id": "47668769"}, {"ref": "mohamedaradwan/digits-recognizer", "kernel_id": "47751169"}, {"ref": "rauffatali/digit-recognition-using-nn-but-from-scratch", "kernel_id": "47193072"}, {"ref": "shefalishettyy/introduction-to-cnn-keras", "kernel_id": "47781791"}, {"ref": "augustaklug/at-fundamentos-de-vis-o-computacional", "kernel_id": "47721828"}, {"ref": "jiya7316/digitrecognizer", "kernel_id": "47923919"}, {"ref": "nasimmahmud/recognizing-digits-cnn", "kernel_id": "47329892"}, {"ref": "pachecopacheco4/introduction-to-computer-vision", "kernel_id": "47742044"}, {"ref": "marinaefstratiou/notebook5af0988071", "kernel_id": "47249520"}, {"ref": "yashas252/neural-network-implementation", "kernel_id": "47767948"}, {"ref": "totoro29/digit-recognizer-cnn", "kernel_id": "47637821"}, {"ref": "tirthpatel70/digit-recognizer-basic-ann", "kernel_id": "47290004"}, {"ref": "whyrequiredaccount/the-frunkus-bumbo", "kernel_id": "47856306"}, {"ref": "zakariajoudar/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "47842862"}, {"ref": "werus23/demo-notebook", "kernel_id": "47858807"}, {"ref": "abrarjahinniloy/introduction-to-cnn-pytorch", "kernel_id": "47623472"}, {"ref": "abrarjahinniloy/mnist", "kernel_id": "47403195"}, {"ref": "sumitpardhiya/digit-recognizer", "kernel_id": "47797608"}, {"ref": "sruthik003/deep-digit-detective-score-0-9876", "kernel_id": "47783893"}, {"ref": "pushkar007/learn-applying-cnn-in-digit-recognizer-tutorial", "kernel_id": "47444047"}, {"ref": "ritikchaurasia4815/number", "kernel_id": "47332290"}, {"ref": "arnabmusouwir/noobmnist", "kernel_id": "47714035"}, {"ref": "benjaminrapkin/332-data-gen", "kernel_id": "47473743"}, {"ref": "mukulsaini01/your-first-deeplearning-notebook", "kernel_id": "47236696"}, {"ref": "maicolab/mnist-nn-practice", "kernel_id": "47980489"}, {"ref": "manueldlabra/digit-recogizer-with-cnn", "kernel_id": "47329526"}, {"ref": "carloscll/mnist-simplistic-approach", "kernel_id": "47357806"}, {"ref": "nazimcherpanov/prediction-digit-recognizer-deep-learning", "kernel_id": "47504950"}, {"ref": "aryaadithyan/deep-neural-network", "kernel_id": "47253890"}, {"ref": "aryaadithyan/simple-neural-network", "kernel_id": "47250383"}, {"ref": "aryaadithyan/convolutional-neural-network", "kernel_id": "47255483"}, {"ref": "ziadwael/create-and-train-vgg16-resnet50-from-scratch", "kernel_id": "47092952"}, {"ref": "nithinthuruthipally/handwritting-using-dnn-cnn-keras", "kernel_id": "47244814"}, {"ref": "loannfeidt1/day2-digit-recogniser", "kernel_id": "47113039"}, {"ref": "shanakk/cnn-dnn-snn", "kernel_id": "47189383"}, {"ref": "neupane9sujal/multi-level-perceptron-from-scratch", "kernel_id": "47140699"}, {"ref": "sakhawatalilarik/digit-recognition-with-knn", "kernel_id": "47605379"}, {"ref": "jatking03/task-group-3", "kernel_id": "47063901"}, {"ref": "kritsadakruapat/just-simple-deep-model", "kernel_id": "47132963"}, {"ref": "pahirathannithilan/machine-learning-with-mnist-digit-classification", "kernel_id": "47890659"}, {"ref": "k1rsn7/ru-digit-recognizer-98-accuracy", "kernel_id": "47493194"}, {"ref": "k1rsn7/en-digit-recognizer-98-accuracy", "kernel_id": "47496930"}, {"ref": "omkarmirji/mnist-with-pca-and-exploration", "kernel_id": "47578196"}, {"ref": "samcantcode/variationalautoencoder", "kernel_id": "47536201"}, {"ref": "samcantcode/basicencoderdecoder", "kernel_id": "47624167"}, {"ref": "nortonperez/csci-331-digit-recognizer-notebook", "kernel_id": "47523275"}, {"ref": "theopomies/part5-mli-supervised", "kernel_id": "47403704"}, {"ref": "dsumarks/csc-402-ap18-f24", "kernel_id": "47206647"}, {"ref": "jacobmillet/mnist-a-cnn-approach-with-tensorflow", "kernel_id": "47169754"}, {"ref": "notdroid/tutorial-3-cnn-basics-to-efficientnetv2", "kernel_id": "47413848"}, {"ref": "paulabal/digit-recognizer-p-balazhy", "kernel_id": "47603463"}, {"ref": "mattspotify2023/mnist-w-cnn-98-7", "kernel_id": "47318116"}, {"ref": "kubagarncarek/digit-recognizer", "kernel_id": "47639343"}, {"ref": "prthmgoyl/handwritten-digits", "kernel_id": "47574086"}, {"ref": "shivam6862/deep-digit-detective-score-0-9876", "kernel_id": "47191028"}, {"ref": "yanlukianchik/cnn-digit-98-65", "kernel_id": "47301470"}, {"ref": "luke2642/luke-s-fast-cpu-digits", "kernel_id": "47832161"}, {"ref": "archit6t5t/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "47588667"}, {"ref": "ashishasharma/mnist-digit-recongnizer-dataset", "kernel_id": "47996240"}, {"ref": "anthonytherrien/enhanced-residual-connection-deep-learning", "kernel_id": "47702152"}, {"ref": "anthonytherrien/residual-dense-layer-deep-learning", "kernel_id": "47904030"}, {"ref": "kirillmaslov13/maslov-lab1", "kernel_id": "47410128"}, {"ref": "chaudharyanshul/cnn-digitrecognizer", "kernel_id": "47570878"}, {"ref": "jianghonghuang123/knn-logregression", "kernel_id": "47909282"}, {"ref": "tolikstalker/notebook3cb054c831", "kernel_id": "47409193"}, {"ref": "c70321019023/mloa-exp1", "kernel_id": "47708760"}, {"ref": "ignachos/keras-lab2", "kernel_id": "47674106"}, {"ref": "alinagdartmouth/digitrecognizer", "kernel_id": "47660795"}, {"ref": "kebinrom/mnist-database-hand-written-digit-database", "kernel_id": "47465095"}, {"ref": "lorenzozanolin/digit-recognizer", "kernel_id": "47558913"}, {"ref": "revathimuthukrishnan/digit-recognizer", "kernel_id": "47524143"}, {"ref": "federicoscrobe/3-exercise-mnist", "kernel_id": "47100283"}, {"ref": "law2460/logistic-regression-vs-decision-tree-classifier", "kernel_id": "47900570"}, {"ref": "vidrebol/mnist-notebook", "kernel_id": "47644215"}, {"ref": "bryanguan24/syde-522-pokemon-gan", "kernel_id": "47845873"}, {"ref": "ethanhhartman/finalproject", "kernel_id": "47110408"}, {"ref": "julianheuser/notebook7272876bdf", "kernel_id": "47260451"}, {"ref": "ranto1304/kannada-mnist", "kernel_id": "47311648"}, {"ref": "sherman5737/project4", "kernel_id": "47978172"}, {"ref": "jakeedelstein/ai-project-4", "kernel_id": "47567938"}, {"ref": "markcwatson/a-deep-neural-network-with-python-and-numpy", "kernel_id": "47928618"}, {"ref": "nikitabannikov2001/digit-recognizer-bannikov-nikita-9305", "kernel_id": "47836101"}, {"ref": "alexjohannesson/project4aj", "kernel_id": "47902132"}, {"ref": "votahoan/bayesian-nerual-networks-with-tensorflow-2-0", "kernel_id": "47870071"}, {"ref": "noahleightley/notebookfa8b98ef32", "kernel_id": "47952721"}, {"ref": "zoewheatcroft/epic-and-awesome", "kernel_id": "47994059"}, {"ref": "helper2424/cv-digit-recognizer", "kernel_id": "48506616"}, {"ref": "vaibhavbawej07/digit-recogniser-convnet-98-95-accuracy", "kernel_id": "48949671"}, {"ref": "hithesh15173/digit-recognizer-code", "kernel_id": "48046956"}, {"ref": "afolakebaiyewu/0-1-solution-for-digit-recognizing2-3", "kernel_id": "48704666"}, {"ref": "sciencelabwork/notebookb7a3a169bf", "kernel_id": "48942071"}, {"ref": "atilaysamiloglu/deep-neural-network-vs-xgboost-vs-random-forest", "kernel_id": "48079885"}, {"ref": "pzivic/digit-recognition-pa3lo", "kernel_id": "48662035"}, {"ref": "pzivic/simple-nn-pa3lo", "kernel_id": "48811794"}, {"ref": "aritrabag/digit-classification", "kernel_id": "48563862"}, {"ref": "aakash143rathee/exercise-3", "kernel_id": "48331125"}, {"ref": "kennethkiang/multilayer-perception-practice", "kernel_id": "48467733"}, {"ref": "siddhuneehal/cnnxlstm-used-lstm-for-99-3-accuracy", "kernel_id": "48010292"}, {"ref": "xxxxxxxyyyyyyyyy/digit-recognition-ex4", "kernel_id": "48883606"}, {"ref": "minemine12345678/mnist-pytorch", "kernel_id": "48105126"}, {"ref": "kachirika/digit-recognizer-competition", "kernel_id": "48196926"}, {"ref": "lequocc/cnn-with-pytorch-for-mnist", "kernel_id": "48051685"}, {"ref": "chukwudioranu/digit-recognizer", "kernel_id": "48446654"}, {"ref": "oussamalariouch/digit-recognizer-keras", "kernel_id": "48388145"}, {"ref": "quntrnhongng/digit-recognizer-pytorch-lightning-simple-cnn", "kernel_id": "48214783"}, {"ref": "nursultankurmanbekov/digit-recognizer-mnist", "kernel_id": "48950345"}, {"ref": "sriharshaeedala/digit-recognizer-mnist-99-9", "kernel_id": "48599263"}, {"ref": "sriharshaeedala/xgb-mnist", "kernel_id": "48541370"}, {"ref": "shuvendumoharana/digit-recognition-using-ann", "kernel_id": "48946513"}, {"ref": "jhinxzed/digit-recognition-98", "kernel_id": "48554782"}, {"ref": "tomdujsk/image-classification-and-generation", "kernel_id": "48601061"}, {"ref": "tolgabolat/digit-recognition", "kernel_id": "48136397"}, {"ref": "anastasiamonasturska/deep-neural-network-keras-way", "kernel_id": "48614120"}, {"ref": "deasadiqbal/autoencoder", "kernel_id": "48811458"}, {"ref": "tahmidmir/hand-written-digit-recognition-using-mnist-dataset", "kernel_id": "48762781"}, {"ref": "antoinetheissen75/mnist-model-for-begginer", "kernel_id": "48016191"}, {"ref": "sumaiyaany/emnist", "kernel_id": "48779840"}, {"ref": "eslamesame/cnn-digitrecognizer", "kernel_id": "48273990"}, {"ref": "eslamesame/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "48273500"}, {"ref": "eslamesame/cnn-on-minist-data-tensorflow", "kernel_id": "48275141"}, {"ref": "elikestella/resnet50-transfer-learning", "kernel_id": "48693846"}, {"ref": "shivamardeshna/digit-recognizer", "kernel_id": "48916070"}, {"ref": "jackilove/digitalnumberdetect", "kernel_id": "48222336"}, {"ref": "wowthecoder/digit-classification", "kernel_id": "48278503"}, {"ref": "virajhemantha/deep-learning-for-digit-categorization", "kernel_id": "48256214"}, {"ref": "prakashraushan/principle-component-analysis-digit-recognizer", "kernel_id": "48390327"}, {"ref": "yaminh/imageflow-classifier-vgg16-vgg19", "kernel_id": "48392795"}, {"ref": "priyash07/pytorch-revision-with-mnist", "kernel_id": "48174861"}, {"ref": "smitraval24/easy-to-understand-cnn", "kernel_id": "48769039"}, {"ref": "vicmangiltafolla/cnn-vs-dnn-vs-svm-for-image-classification", "kernel_id": "48890984"}, {"ref": "gurneetsingh1928/digit-recognize-attempt1", "kernel_id": "48578364"}, {"ref": "waterlock/mnist-98-9", "kernel_id": "48569253"}, {"ref": "aliamrali/simple-cnn-for-digit-recognizer", "kernel_id": "48743342"}, {"ref": "benjaminquiring/cours", "kernel_id": "48018803"}, {"ref": "anacrosatto/digit-recognition-with-vector-databases", "kernel_id": "48480777"}, {"ref": "anacrosatto/machine-learning-strategies-in-digit-recognition", "kernel_id": "48687050"}, {"ref": "sanketwalunj/mnist-ann-classification", "kernel_id": "48580109"}, {"ref": "anmolarora15/digit-recognition-using-neural-networks", "kernel_id": "48250039"}, {"ref": "vigyasharma20bce1559/vit-pract", "kernel_id": "48075593"}, {"ref": "abdurrahman22224/pca-in-mnist-dataset", "kernel_id": "48825889"}, {"ref": "samiratpadkar/digit-classification-using-ann", "kernel_id": "48395819"}, {"ref": "michaeloliver137/digit-recognizer-2-targeted-resampling", "kernel_id": "48843624"}, {"ref": "ahmetharunalt/digit-recognizer", "kernel_id": "48482565"}, {"ref": "skipperad/digit-recognizer-linear-model", "kernel_id": "48570537"}, {"ref": "anannoasif/digit-recognizer-using-cnn-with-97-acc", "kernel_id": "48822801"}, {"ref": "satchamp11/mnist-satyarth", "kernel_id": "48805963"}, {"ref": "mdsumonali02/handwritten-digit-prediction-with-ann", "kernel_id": "48965627"}, {"ref": "sauravbisht0129/digit-recognizer", "kernel_id": "48084365"}, {"ref": "tongviethoang/convolutional-neural-network-cnn-tutorial", "kernel_id": "48395533"}, {"ref": "kavilaviswanathan/digit-recognition-using-xgboost", "kernel_id": "48959107"}, {"ref": "ilhambagaz/kompetisi-digit-recognizer", "kernel_id": "48983538"}, {"ref": "adityabdhruva/ann-using-keras", "kernel_id": "48872257"}, {"ref": "bohdanmaksymchuk/digit-recognizer-pytorch", "kernel_id": "48971155"}, {"ref": "mariushinsberger/cnn-with-dynamic-learning-rate-on-mnist", "kernel_id": "48600766"}, {"ref": "timeisfly1/simple-mlp-digit-recognizer-with-keras-97", "kernel_id": "48176527"}, {"ref": "josephinelsy/handwrite-digit-recogniser-cnn", "kernel_id": "48802178"}, {"ref": "riddhidumre/mloa-exp1-3355af", "kernel_id": "48220035"}, {"ref": "bhaskarboruah/digit-recognizer", "kernel_id": "48925297"}, {"ref": "c70321019023/mloa-exp2", "kernel_id": "48940980"}, {"ref": "alessandromajumba/ex3-ml", "kernel_id": "48814318"}, {"ref": "artemikonnikov/ex-3-digits-recognition", "kernel_id": "48024992"}, {"ref": "yousefr/digit-recognizer", "kernel_id": "48664524"}, {"ref": "filipkjellgren/03-mnist-pr-mldl", "kernel_id": "48077923"}, {"ref": "oviemichaelodafe/digit-recognizer-ovie-michael-odafe", "kernel_id": "48968753"}, {"ref": "itachiuchihadesu09/digit-recognizer-without-using-tensorflow-keras", "kernel_id": "48960915"}, {"ref": "donaldburke/learning-from-examples-ai-project-4", "kernel_id": "48046256"}, {"ref": "violetta00/03-mnist", "kernel_id": "48326475"}, {"ref": "isabelocastillo/reconocimiento-de-numeros-cnn", "kernel_id": "48233005"}, {"ref": "elaheesl/digit-recognizer-predicted-by-vector-d-r-n", "kernel_id": "48906405"}, {"ref": "nethsaranidwd/digit-recognizer", "kernel_id": "48938177"}, {"ref": "thekazisakib/decode-digits-ml-image-analysis", "kernel_id": "48876869"}, {"ref": "abdelhadibahij/digit-recognizer", "kernel_id": "48599345"}, {"ref": "gaganreddygt/mnist-ml", "kernel_id": "48930483"}, {"ref": "wanana20/digit-recognizer-cnn-99-1", "kernel_id": "48770290"}, {"ref": "artems90/digit-recognition", "kernel_id": "48572419"}, {"ref": "jlynxdev/digit-recognizer-pytorch-solution", "kernel_id": "48934295"}, {"ref": "apavlov1371/notebook587ec3ff91", "kernel_id": "48368298"}, {"ref": "renhuang8/digit-recognizer-lenet", "kernel_id": "48895016"}, {"ref": "cattocat3/simple-perceptron-classifier", "kernel_id": "48206826"}, {"ref": "maehashitatsuya/convolutional-neural-network-and-keras", "kernel_id": "48437858"}, {"ref": "pkumar534/firstmnisttry", "kernel_id": "48067213"}, {"ref": "theboyroy/first-a-i", "kernel_id": "48085755"}, {"ref": "adigen/digit-recognizer", "kernel_id": "48421895"}, {"ref": "yungchopps/tensorflow-mlp-vs-cnn-vs-resnet-99-3-accuracy", "kernel_id": "48184630"}, {"ref": "adilagagagah/build-nn-from-scratch", "kernel_id": "48831995"}, {"ref": "dharshdk/dharshini-rf-for-digit-recognizer", "kernel_id": "48874340"}, {"ref": "dheekumar/cnn-model", "kernel_id": "48861147"}, {"ref": "samnet/nn-refresher", "kernel_id": "49209212"}, {"ref": "pardeep19singh/pytorch-lightning-p2-cnn-arch-0-98810", "kernel_id": "49263311"}, {"ref": "pardeep19singh/pytorch-lightning-p4-resnet18-with-aug-0-9926", "kernel_id": "49325991"}, {"ref": "pardeep19singh/pytorch-lightning-p1-mlp-arch-0-97832", "kernel_id": "49324972"}, {"ref": "pardeep19singh/pytorch-lightning-p3-resnet18-arch-0-98885", "kernel_id": "49306195"}, {"ref": "kevinmariogerard/digit-recognizer-with-cnn", "kernel_id": "49576685"}, {"ref": "codecoder/digit-recognizer-classifier-with-cnns-vggnet", "kernel_id": "49516302"}, {"ref": "dalao1002/mnist-digit-recognizer", "kernel_id": "49005632"}, {"ref": "apalladi/99-5-accuracy-with-a-simple-cnn-in-keras", "kernel_id": "49934778"}, {"ref": "skywolfmo/mlascent-cv-pretraining-deep-learning-models", "kernel_id": "49052727"}, {"ref": "shrutidceit/cnn-explained-in-detail-using-classes-functions", "kernel_id": "49994534"}, {"ref": "seungwanhong/97-pytorch-eda-with-cuda-gpu", "kernel_id": "49912970"}, {"ref": "jinttt/digit-recognizer-pytorch-impl-spinalnet", "kernel_id": "49082125"}, {"ref": "garfield2021/digit-recognizer-keras-cnn", "kernel_id": "49282620"}, {"ref": "iambee/mnist-dataset-for-digit-recognition", "kernel_id": "49726051"}, {"ref": "nickchotik/mnist-digit-recognizer-with-svm-for-practicing", "kernel_id": "49562192"}, {"ref": "nonameforyougoodsir/notebook0f319e4a7b", "kernel_id": "49091094"}, {"ref": "jhanvishah25/handwritten-digit-recogniser-cnn", "kernel_id": "49593673"}, {"ref": "abdulkalamazadshaik/introduction-to-cnn-with-modified-alexnet-98-97", "kernel_id": "49133584"}, {"ref": "elijahkurien/utra-hacks", "kernel_id": "49764827"}, {"ref": "vineetkukreti/mnist-using-ann-and-cnn", "kernel_id": "49378233"}, {"ref": "vineetkukreti/digit-recognizer", "kernel_id": "49712019"}, {"ref": "brklikm/autoencoders", "kernel_id": "49365028"}, {"ref": "priyankdl/simple-cnn-digit-recognizer-pytorch", "kernel_id": "49815319"}, {"ref": "figolm10/digit-recognizer-by-lightbgm", "kernel_id": "49716339"}, {"ref": "suryasure/mnist-classifier-w-numpy", "kernel_id": "49119592"}, {"ref": "nakulbawa/exploring-timm-models-fastai-tta-dive-99-acc", "kernel_id": "49865878"}, {"ref": "shagalsajid/mnist-cnn-custom-architecture-99-accuracy", "kernel_id": "49518295"}, {"ref": "czy111/python-3-6-6", "kernel_id": "49727712"}, {"ref": "kadaliakshay/notebookdc17234d09", "kernel_id": "49392781"}, {"ref": "lnsywzq/notebook80fc966ad4", "kernel_id": "49102865"}, {"ref": "arjitdsce/digit-recognizer-vit", "kernel_id": "49394239"}, {"ref": "kriti264/digit-recognizer-using-cnn-and-various-optimizers", "kernel_id": "49770170"}, {"ref": "virajhemantha/digit-catagorization-with-tensorflow-functional-ap", "kernel_id": "49404256"}, {"ref": "naveensadanandan/mnist-digit-recognizer", "kernel_id": "49047395"}, {"ref": "naveenkumars20isr031/digit-recog-using-cnn", "kernel_id": "49325915"}, {"ref": "mukulsaini01/digits-recognization-using-ann", "kernel_id": "49463388"}, {"ref": "hirdayeshraghav/good-for-beginners-deep-learning-ann-cnn", "kernel_id": "49774492"}, {"ref": "rayanbessadi/neural-net-from-scratch-with-explanations", "kernel_id": "49120984"}, {"ref": "goutham01/mnist", "kernel_id": "49816762"}, {"ref": "dilmurodgoyupov/digit-recognizer-csv", "kernel_id": "49135120"}, {"ref": "eouedraogo4/digit-recognizer-gradient-boot", "kernel_id": "49703318"}, {"ref": "venkatasaigudisa/pytorch-cnn", "kernel_id": "49495387"}, {"ref": "akshatkjain/simple-neural-network-from-scratch", "kernel_id": "49458573"}, {"ref": "akashdeepkataria/digit-recognizer", "kernel_id": "49780860"}, {"ref": "apurvachavan12/digit-recognizer-solution", "kernel_id": "49810300"}, {"ref": "gauravsaroha/96-21-digitrecognizer", "kernel_id": "49158138"}, {"ref": "skipperad/digit", "kernel_id": "49262942"}, {"ref": "sitaberete/handwritten-digit-recognizer-99-73-val-accuracy", "kernel_id": "49899772"}, {"ref": "roxyyyy/simple-cnn-pytorch", "kernel_id": "49820152"}, {"ref": "aniketdvd/classification-matrics-on-digit-recognizer-set", "kernel_id": "49695776"}, {"ref": "nickyarovoi/top-4-digit-recognizer-competition-cnn", "kernel_id": "49542471"}, {"ref": "miichaaeel/keras-mnist", "kernel_id": "49289408"}, {"ref": "aimenboukhari/digitsrecognizerwithaccuracy98", "kernel_id": "49155220"}, {"ref": "bharathtoutireddy/generative-adversarial-network-on-mnist-data", "kernel_id": "49395718"}, {"ref": "jpankajk/digit-recognization-deep-learning", "kernel_id": "49608816"}, {"ref": "shaunakmandal/digit-recogniser", "kernel_id": "49385936"}, {"ref": "sundayabraham/nueral-network-using-numpy", "kernel_id": "49619185"}, {"ref": "salazhiev/keras-cnn", "kernel_id": "49799783"}, {"ref": "balaramnaidu/digit-recognizer", "kernel_id": "49077293"}, {"ref": "gvirajg/ex-4-ml-lab", "kernel_id": "49134924"}, {"ref": "gunjan2509/pca-analysis-2", "kernel_id": "49674312"}, {"ref": "saswattulo/digit-magic-a-journey-into-the-world-of-number", "kernel_id": "49525392"}, {"ref": "saswattulo/simple-neural-network-from-scratch", "kernel_id": "49529855"}, {"ref": "aryangupta30/simple-neural-network-for-mnist-numpy-from-scratch", "kernel_id": "49987944"}, {"ref": "yassineyahyaouii/digit-recognizer-multi-image-c-deep-learning", "kernel_id": "49549207"}, {"ref": "ksrali/pca-application-on-mnist-dataset", "kernel_id": "49984114"}, {"ref": "akhilpm1996/digit-recognizer-ann", "kernel_id": "49140595"}, {"ref": "lisavandendriest/digit-recognizer-solution", "kernel_id": "49779244"}, {"ref": "eliocordeiropereira/digit-recogniser-scikit-learn-s-pca-and-knn", "kernel_id": "49581827"}, {"ref": "jatinthakur706/digit-recognizer-using-cnn", "kernel_id": "49732448"}, {"ref": "def0017/digit-recognizer-using-vit", "kernel_id": "49189884"}, {"ref": "joyygoswami/digit-recognizer", "kernel_id": "49579973"}, {"ref": "jasmeet0516/digit-recognizer-using-cnn", "kernel_id": "49732388"}, {"ref": "aniroshan04/pca-demo", "kernel_id": "49164274"}, {"ref": "kirun1/notebookaa9acc394f", "kernel_id": "49312315"}, {"ref": "michaelsurya/cnn-identifikasi-angka", "kernel_id": "49460926"}, {"ref": "abiramisankarmurthy/digit-recogniser-2-abi", "kernel_id": "49839480"}, {"ref": "muhumuzadeusai/digit-recognizer-notebook", "kernel_id": "49424344"}, {"ref": "summerbhqm/variantional-autoencoders-vae", "kernel_id": "49931321"}, {"ref": "isabelocastillo/reconocimiento-de-numeros", "kernel_id": "49161257"}, {"ref": "pony1013/implementation-of-mlp-no-tf-keras-pytorch", "kernel_id": "49868015"}, {"ref": "leventeszabo1/digit-recognition-ml", "kernel_id": "49091958"}, {"ref": "hieunguyendsml/fork-of-pytorch-multi-layer-perceptron-mnist", "kernel_id": "49056199"}, {"ref": "tanyamak/digitrecognition", "kernel_id": "49288200"}, {"ref": "amirrouhbakhsh/digit-recognizer", "kernel_id": "49145049"}, {"ref": "madckull/digit-recognizer-analysis-using-svm", "kernel_id": "49921065"}, {"ref": "hitengoel/mnist-from-scratch", "kernel_id": "49741927"}, {"ref": "akramabdulkhakimov/digit-identifier", "kernel_id": "49880897"}, {"ref": "janix24/mnist-w-asne", "kernel_id": "49221416"}, {"ref": "dipansujoshi/pca-doing-demo", "kernel_id": "49976644"}, {"ref": "thienbao1909/digitrecognize", "kernel_id": "49442788"}, {"ref": "shivamjoshi007/digit-recognizer", "kernel_id": "49917417"}, {"ref": "ritikaxg/mnist-dataset", "kernel_id": "49870607"}, {"ref": "drsadegh/accuracy-100-is-real-introduce-a-new-way", "kernel_id": "49095809"}, {"ref": "kaypeekay/numpyassignment1-1layernn", "kernel_id": "49624114"}, {"ref": "desolationofsmaug/a-beginner-friendly-guide-to-tensorflow-cnns", "kernel_id": "49112653"}, {"ref": "jiacaijun9/l1cla-pytorch-datamnist-20240122-1", "kernel_id": "49138755"}, {"ref": "samarjeetsinghgandhi/digit-recognizer-with-0-83-accuracy", "kernel_id": "49876123"}, {"ref": "jameslindseyjones/digitrecognition", "kernel_id": "49221784"}, {"ref": "jakariahossain/digit-reconizer-using-convolutional-neural-network", "kernel_id": "49562016"}, {"ref": "marklbennett/digit-recognizer", "kernel_id": "49297954"}, {"ref": "kaurneetlove/digit-recognizer", "kernel_id": "49746419"}, {"ref": "aboo745/image-classification-nevine", "kernel_id": "49603186"}, {"ref": "semtex6412/sujirou-mnist-no-frameworks", "kernel_id": "49611984"}, {"ref": "ambrustorok/digit-recognizer", "kernel_id": "49642750"}, {"ref": "raghavendrarao/digit-recognizer-v3", "kernel_id": "50766469"}, {"ref": "davidrpugh/basic-starter-solution", "kernel_id": "50089370"}, {"ref": "himanshi1095/digit-recogniser", "kernel_id": "50724366"}, {"ref": "apalladi/99-with-mobilenet-v2", "kernel_id": "50323367"}, {"ref": "kentaro7/pytorch-training-kentaro", "kernel_id": "50392152"}, {"ref": "skywolfmo/mlascent-2-cv-representation-learning", "kernel_id": "50287844"}, {"ref": "aishwaryanandakumar/digit-recognition-mnist-handwritten-data", "kernel_id": "50800025"}, {"ref": "shubhams652/digit-recognition-0-9825", "kernel_id": "50365170"}, {"ref": "shikameow/inception-block-tensorflow-using-the-mnist-99-acc", "kernel_id": "50560225"}, {"ref": "phobosio/simple-mnist-using-pytorch", "kernel_id": "50107417"}, {"ref": "iremsen/notebook40c2e3bd38", "kernel_id": "50962214"}, {"ref": "eduardod/digit-recognizer-with-pytorch-97-65", "kernel_id": "50884393"}, {"ref": "petrkozyrev/digit-recog", "kernel_id": "50107297"}, {"ref": "dikshantjoshi/digit-recognizer-using-cnn", "kernel_id": "50583208"}, {"ref": "rohan843/digit-recognizer-5dfbd7", "kernel_id": "50657846"}, {"ref": "thomkell/digitrecognizer", "kernel_id": "50966087"}, {"ref": "fatihilhan/handwritten-digit-recognition-project-with-mnist", "kernel_id": "50546525"}, {"ref": "rajrup911/mnist-ann-custom", "kernel_id": "50145878"}, {"ref": "karamalhanatleh/deep-learning-cnn-digit-recognizer-0-992-best", "kernel_id": "50942758"}, {"ref": "rashidrk/simple-tricks-for-getting-99-5-acc", "kernel_id": "50406627"}, {"ref": "zachbarrett/neural-net-from-scratch", "kernel_id": "50000100"}, {"ref": "nithunith/mnist-classification", "kernel_id": "50528004"}, {"ref": "mrnabhill/digit-recognizer-cnn-0-994", "kernel_id": "50181384"}, {"ref": "steinfire/keras-cnn-our-mnist", "kernel_id": "50551733"}, {"ref": "niharpatel03/mnist-dataset", "kernel_id": "50284647"}, {"ref": "singhkunal/neural-network-without-tf-keras", "kernel_id": "50931574"}, {"ref": "kokorokawamoto/digit-recognizer", "kernel_id": "50089833"}, {"ref": "dhruvlotia/digitrecognizermnist", "kernel_id": "50354658"}, {"ref": "shreyasharma28/digital-recognizer", "kernel_id": "50767957"}, {"ref": "vaibhavshaharwale/digit-recognizer-accuracy-98-91", "kernel_id": "50980280"}, {"ref": "amandawangg/cnnspart2", "kernel_id": "50841048"}, {"ref": "hanshgoyal/aiml-aat-hansh-goyal", "kernel_id": "50813936"}, {"ref": "shourovj/ann-aiml-lab", "kernel_id": "50058050"}, {"ref": "humbleyll/aaamlp", "kernel_id": "50263307"}, {"ref": "yashasgarg/digit-recogniser", "kernel_id": "50255568"}, {"ref": "adelanseur/digit-recognizer-fnn", "kernel_id": "50752455"}, {"ref": "alihasnainch/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "50542796"}, {"ref": "hossamahmedsalah/lenet-implmentation-a-cnn-architecture", "kernel_id": "50235610"}, {"ref": "parmesh021/digit-classification-acc-99-17", "kernel_id": "50351479"}, {"ref": "eliasbiondo/digitrecognizer", "kernel_id": "50880818"}, {"ref": "tombillo1/mnist-c1", "kernel_id": "50919019"}, {"ref": "raiedessamaabohejji/conv2d-from-scratch", "kernel_id": "50455622"}, {"ref": "vishakhdapat/mnist-digit-recognizer-using-cnn", "kernel_id": "50310158"}, {"ref": "samiyasamiya/digit-classification-using-k-nearest-neighbors-pca", "kernel_id": "50780646"}, {"ref": "carloscll/debut-success-your-first-mnist-submission", "kernel_id": "50655797"}, {"ref": "joanpau/digit-recognizer-using-deep-learning-top-4", "kernel_id": "50510569"}, {"ref": "pavlobaranchuk/digit-recognizer", "kernel_id": "50991222"}, {"ref": "raihan150146/convolutional-neural-network-cnn-tutorial", "kernel_id": "50230563"}, {"ref": "ship9422/digit-recognizer", "kernel_id": "50791311"}, {"ref": "akaashtripathi/ncr-ml-olympiad", "kernel_id": "50788490"}, {"ref": "siangwunsiao/cnn-digit-recognizer", "kernel_id": "50557737"}, {"ref": "kausthubkannan/aiml-aat", "kernel_id": "50657632"}, {"ref": "kelseaa/mnist-assignment-1", "kernel_id": "50960163"}, {"ref": "vanshbatra10/playing-with-digits-easy-ensemble-cnn-99-4", "kernel_id": "50697086"}, {"ref": "yessicatuteja/digit-recognition-deep-cnn", "kernel_id": "50202995"}, {"ref": "saquib7hussain/pca-on-mnist-dataset", "kernel_id": "50271704"}, {"ref": "titan22903/nirma-dl-digit-recog", "kernel_id": "50352444"}, {"ref": "kartikkumaria/digitclassifier-using-tensorflow", "kernel_id": "50726649"}, {"ref": "richolson/mnist-xgboost-super-simple", "kernel_id": "50185905"}, {"ref": "natchananprabhong/digit-recognizer-using-ann", "kernel_id": "50975475"}, {"ref": "palliplease/digit-recognizer-97-3-super-simple-solution", "kernel_id": "50911357"}, {"ref": "christina0626/keras-simple-nuaral-network", "kernel_id": "50393259"}, {"ref": "riyaraizada/digit-recognizer", "kernel_id": "50687519"}, {"ref": "vishwasmishra1234/symbolic-equation-from-neural-network-using-symphy", "kernel_id": "50484864"}, {"ref": "ananthak2/mnist-digit-recognizer", "kernel_id": "50802873"}, {"ref": "abdullahsakib5/notebook3b9a1f61cd", "kernel_id": "50094417"}, {"ref": "samarjeet09/digit-recognizer-cnn-basic", "kernel_id": "50101425"}, {"ref": "aestroe/digit-recogniser-with-explanation", "kernel_id": "50458655"}, {"ref": "tanishajpatel/simple-cnn-digit-recognizer-pytorch", "kernel_id": "50352639"}, {"ref": "rehanapervin/convolutional-neural-network-cnn-tutorial", "kernel_id": "50248968"}, {"ref": "chiragmohangupta/digit-recognizer-using-cnn", "kernel_id": "50775941"}, {"ref": "ahmetbayraktar98/digit-recognizer-usingcnn-score-0-98957", "kernel_id": "50514573"}, {"ref": "mdrezaulkarimkyau/tutorial-of-convolutional-neural-network-cnn", "kernel_id": "50565006"}, {"ref": "cheesecke/neural-network-implementation", "kernel_id": "50257913"}, {"ref": "akhiltomar/notebookc90c1f753c", "kernel_id": "50331307"}, {"ref": "dormyyy/digitrecognition", "kernel_id": "50554229"}, {"ref": "timgluhkikh/mnist-superrelora", "kernel_id": "50740342"}, {"ref": "sundayabraham/digit-recognizer", "kernel_id": "50866400"}, {"ref": "zabihullah18/digit-recognizer-0-9834", "kernel_id": "50317576"}, {"ref": "abdoashraf90/digit-recognation-with-98-accuracy", "kernel_id": "50528445"}, {"ref": "parthmittal21/notebook9f26664907", "kernel_id": "50877131"}, {"ref": "khushiagarwal2068/digit-recognizer-using-cnn-and-various-optimizers", "kernel_id": "50090741"}, {"ref": "khushiagarwal2068/top-score-using-nearest-neighbours", "kernel_id": "50090330"}, {"ref": "simarjitkaur123/digit-recognizer", "kernel_id": "50502368"}, {"ref": "feperetz/custom-resnet-and-densenet-performance-analysis", "kernel_id": "50830630"}, {"ref": "siamhosaain/digit-reconizer-using-convolutional-neural-network", "kernel_id": "50591766"}, {"ref": "mdsozibsarkar/convolutional-neural-network-cnn-tutorial", "kernel_id": "50586154"}, {"ref": "maksudaakter01/cnn-digit", "kernel_id": "50249329"}, {"ref": "sardorwwe/digit-recognizer-predict", "kernel_id": "50227754"}, {"ref": "amirmohammadparvizi/mnist", "kernel_id": "50573934"}, {"ref": "cyz020403/digit-reco", "kernel_id": "50470747"}, {"ref": "luke2642/umap-for-classification-with-no-nn", "kernel_id": "50549063"}, {"ref": "bramjit/digits-mnist-pytorch", "kernel_id": "50010944"}, {"ref": "arinrada/cnn-2", "kernel_id": "50151734"}, {"ref": "eliocordeiropereira/digit-recogniser-pytorch-s-cnn-a-lenet-5", "kernel_id": "50508019"}, {"ref": "eliocordeiropereira/digit-recogniser-scikit-learn-s-mlp", "kernel_id": "50207128"}, {"ref": "ivgusev/mnist", "kernel_id": "50608053"}, {"ref": "bhurimoongviriya/28-digit-recogniser-pca-and-knn", "kernel_id": "50204754"}, {"ref": "bhurimoongviriya/28-mnist-pca-knn", "kernel_id": "50203465"}, {"ref": "thamolwanjaru/16-digit-recogniser-pca-and-knn", "kernel_id": "50203347"}, {"ref": "thamolwanjaru/16-mnist-pca-knn", "kernel_id": "50204632"}, {"ref": "riteshrk/dnn-vs-cnn-vs-lstm", "kernel_id": "50995625"}, {"ref": "riteshrk/pca-vs-random-forest-vs-k-means", "kernel_id": "50783821"}, {"ref": "ankit1743/digit-recognizer-convolve-to-solve", "kernel_id": "50202996"}, {"ref": "shresthapundir/introduction-to-cnn-keras", "kernel_id": "50333192"}, {"ref": "ujjvalvashisht/digit-recognizer-using-cnn", "kernel_id": "50476815"}, {"ref": "yashpuri1912/digit-recog", "kernel_id": "50099839"}, {"ref": "rnubis/34-mnist-pca-knn", "kernel_id": "50202703"}, {"ref": "rnubis/34-digit-recogniser-pca-and-knn", "kernel_id": "50202919"}, {"ref": "vyom71/mnist-deep-neural-network-with-keras", "kernel_id": "50951299"}, {"ref": "hanzalahwaheed/aiml-tejal", "kernel_id": "50689665"}, {"ref": "chetalipushkarna/using-svm", "kernel_id": "50555034"}, {"ref": "kanyaratp29/57-mnist-pca-knn", "kernel_id": "50202961"}, {"ref": "kanyaratp29/57-digit-recogniser-pca-and-knn", "kernel_id": "50204068"}, {"ref": "sorrawitkwanja/71-digit-recognizer-pca-and-knn", "kernel_id": "50203558"}, {"ref": "sorrawitkwanja/71-mnist-pca-and-knn", "kernel_id": "50202662"}, {"ref": "kirun1/notebook8120be2256", "kernel_id": "50201496"}, {"ref": "annaselinabaniakina/digit-recognizer", "kernel_id": "50386016"}, {"ref": "petrovpetr00/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "50303520"}, {"ref": "lakshyasingh354/digit-recognizer-no-tf-pytorch", "kernel_id": "50549826"}, {"ref": "kyunghyunhan/digit-recognizer-with-rust-burn", "kernel_id": "50584520"}, {"ref": "shimizu074402/digit-regognizer-cnn-by-keras", "kernel_id": "50155278"}, {"ref": "bhavyagoyal867/digit-recognizer-comp", "kernel_id": "50383493"}, {"ref": "notsau/digit-recognizer", "kernel_id": "50271258"}, {"ref": "trubnikovanatolii/digit-recognizer", "kernel_id": "50027995"}, {"ref": "ssgayathri/digit-recogniser", "kernel_id": "50106917"}, {"ref": "priyalsingla/digit-recognizer-priyalsingla", "kernel_id": "50056649"}, {"ref": "icksir/98-17-digit-recognizer-with-pytorch", "kernel_id": "50961472"}, {"ref": "margaritanupreichik/digit-recogniser", "kernel_id": "50067227"}, {"ref": "akashkashinathshelar/digits-recognition-cnn-c73c3d", "kernel_id": "50188444"}, {"ref": "shirastromer/digit-recognizer", "kernel_id": "50955589"}, {"ref": "hridoymolla/convolutional-neural-network-cnn-tutorial", "kernel_id": "50582782"}, {"ref": "matthislee/digit-recognizer-simple-cnn", "kernel_id": "50719822"}, {"ref": "gabrielribeirocsilva/digit-recognizer-score-0-99532", "kernel_id": "50869739"}, {"ref": "adityashah2901/cnn-digit-recognizer", "kernel_id": "50411142"}, {"ref": "ishanmathurkaggle28/digit-recognation-easy-approach", "kernel_id": "50995347"}, {"ref": "siblihossain/convolutional-neural-network-digit-recognizer", "kernel_id": "50586511"}, {"ref": "tarndeepsingh16/digit-recognizer", "kernel_id": "50613466"}, {"ref": "mohammadsdtmnd/ai-class-image-project", "kernel_id": "50654408"}, {"ref": "nguyenbnguyen/digit-recognizer-tensorflow-keras", "kernel_id": "50324045"}, {"ref": "prikshitbhagat1/digit-recognizer", "kernel_id": "50725227"}, {"ref": "jeeteshrajpal2/digits-recognizer", "kernel_id": "50590217"}, {"ref": "zaharya/nn-using-np", "kernel_id": "50558720"}, {"ref": "aiexercise2024yh0/digit-recognition-0", "kernel_id": "50855481"}, {"ref": "devanshsingh0228/digit-recognizer-2nd-project-ip", "kernel_id": "50735700"}, {"ref": "anikathat/digit-recognizer-submission", "kernel_id": "50951877"}, {"ref": "solisd/digit-recognizer", "kernel_id": "50872983"}, {"ref": "suvojitmaity/pca-2", "kernel_id": "50796466"}, {"ref": "abdulrahmanriyad/complete-python-only-ml-project-mnist-dataset", "kernel_id": "50717804"}, {"ref": "sarmadahmad8/digit-recognizer", "kernel_id": "50733176"}, {"ref": "chardonarthur/shallow-neural-network-numpy-mnist", "kernel_id": "50785066"}, {"ref": "nonameform/mnist-training", "kernel_id": "50808432"}, {"ref": "khsu5497/capstone", "kernel_id": "50958599"}, {"ref": "fancifulcrow/digit-recognizer", "kernel_id": "50914471"}, {"ref": "ilovetacos/teresa-thomas-digit-recognizer-assignment-1", "kernel_id": "50959373"}, {"ref": "raghavendrarao/digitrecognizer-mlp", "kernel_id": "51013318"}, {"ref": "timno1/simple-cnn-for-mnist-99", "kernel_id": "51429800"}, {"ref": "sgiuri/ai-ds-deeplearning-example", "kernel_id": "51412372"}, {"ref": "vbparanchi/mnist-classifier-demo", "kernel_id": "51571556"}, {"ref": "crevious/digit-recognizer-with-cnn", "kernel_id": "51471902"}, {"ref": "nickfecondo/neural-network-computer-vision", "kernel_id": "51133006"}, {"ref": "amitamanna/digit-recognizer-submissions", "kernel_id": "51427063"}, {"ref": "sayakgoswami/pca-visualized-using-knn", "kernel_id": "51673855"}, {"ref": "jiansong2222/simple-cnn-for-mnist-99", "kernel_id": "51679177"}, {"ref": "kyvipro113/mnist-digit-classfication", "kernel_id": "51262911"}, {"ref": "eslamfouad/deep-learning-and-machine-learning-2", "kernel_id": "51266597"}, {"ref": "eslamfouad/deep-learning-and-machine-learning", "kernel_id": "51266285"}, {"ref": "matthewmaddock/resnet-18-from-scratch-pytorch-99-1-accuracy", "kernel_id": "51165811"}, {"ref": "margaretgathoni/digit-recognizer", "kernel_id": "51202998"}, {"ref": "stormy13/digit-recognition", "kernel_id": "51470134"}, {"ref": "arnavmangla3094/mnist-nn", "kernel_id": "51441188"}, {"ref": "sourenakhanzadeh/mnist-svm-cnn-98", "kernel_id": "51710613"}, {"ref": "venutalla/mnist-handwritten-digit-recognizer", "kernel_id": "51102051"}, {"ref": "srinivaslakshman75/digit-digitizer-sl-lstm", "kernel_id": "51090794"}, {"ref": "ajanraj25/mnist-challenge-99-44-accuracy", "kernel_id": "51877818"}, {"ref": "crocsinsocks/capsulenet-cotton-disease", "kernel_id": "51926871"}, {"ref": "shamsin/notebookfd26da3cc5", "kernel_id": "51044676"}, {"ref": "hardikgarg03/digit-recognizer-cnn", "kernel_id": "51287759"}, {"ref": "laxminarayanasahu/mnist-digits", "kernel_id": "51644571"}, {"ref": "shaikhabdulrafay/digit", "kernel_id": "51289620"}, {"ref": "mamoruiwasaki/digit-recognizer2", "kernel_id": "51456786"}, {"ref": "muhammadaliahson/knn-digit-recognization-dataset", "kernel_id": "51240673"}, {"ref": "shaikhabdulrafay03/mnist-dataset", "kernel_id": "51281869"}, {"ref": "ashadullah/easy-way-using-ann-at-98-accuracy", "kernel_id": "51838705"}, {"ref": "seifwael123/digit-recognizer-99", "kernel_id": "51242219"}, {"ref": "nikitooos/digit-recognizer", "kernel_id": "51553841"}, {"ref": "aezersx/digits-recog", "kernel_id": "51472322"}, {"ref": "ankurchanda/digit-recognizer", "kernel_id": "51281793"}, {"ref": "palliplease/98-5-accuracy-digit-recognizer-using-cnn", "kernel_id": "51056191"}, {"ref": "santoshraii/pca-with-knn", "kernel_id": "51104931"}, {"ref": "ahmadabdoelslamony/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "51731612"}, {"ref": "richardhhong/beginner-neural-network", "kernel_id": "51599572"}, {"ref": "leonhardpiff/mnist-autoencoder-image-generator", "kernel_id": "51066403"}, {"ref": "rishitaverma02/digit-recognizer", "kernel_id": "51127969"}, {"ref": "pranavkumar19/mnist-beginners-guide", "kernel_id": "51589944"}, {"ref": "nikitavet/digit-prediction-cnn-98-7-accuracy", "kernel_id": "51923946"}, {"ref": "abhinavvvvvvvvvv/digit-recognizer", "kernel_id": "51936109"}, {"ref": "przem8k/mnist-simple-statistics", "kernel_id": "51461565"}, {"ref": "dodat12/mnist-dataset-generator-using-gans", "kernel_id": "51738535"}, {"ref": "abubacker/digit-recognizer-on-mnist", "kernel_id": "51915997"}, {"ref": "minaalalam/digit-code", "kernel_id": "51405717"}, {"ref": "onetwobucklemyshoe/neural-networks-lesson", "kernel_id": "51096957"}, {"ref": "amulyat29/multi-class-classification-using-cnn", "kernel_id": "51190293"}, {"ref": "mihaail/nist-conv-nn", "kernel_id": "51042443"}, {"ref": "sarath02003/mnist-cnn-architectures-compared", "kernel_id": "51668547"}, {"ref": "atanumondal01/digitprediction-by-atanu", "kernel_id": "51404936"}, {"ref": "canippacaci/mnist-digit-recognizer-cnn-99-5-accuracy", "kernel_id": "51877574"}, {"ref": "bairuigong/cnn-98", "kernel_id": "51855007"}, {"ref": "janamapatel/cnn-digit-recogniser", "kernel_id": "51572404"}, {"ref": "umeshsharma03/digit-recognizer", "kernel_id": "51886490"}, {"ref": "ravaghi/handwritten-digit-recognition-with-cnn-t-sne", "kernel_id": "51866094"}, {"ref": "praneykalra/digit-recognizer", "kernel_id": "51480205"}, {"ref": "hubble0123/mnist-tenserflow-test", "kernel_id": "51648989"}, {"ref": "himanshu230/digitrecg", "kernel_id": "51468217"}, {"ref": "datadudesaad/principle-component-analysis-on-digit-recognizer", "kernel_id": "51214481"}, {"ref": "mayankgupta9/notebook0db6efece2", "kernel_id": "51933473"}, {"ref": "jiarusim/digit-recognizer", "kernel_id": "51010049"}, {"ref": "aannu13/digit-recognition-with-fast-ai", "kernel_id": "51615416"}, {"ref": "dnptap/mnist-numpy", "kernel_id": "51582196"}, {"ref": "dani45786/mnist-conv", "kernel_id": "51841131"}, {"ref": "cieldt/digit-recognizer-mnist", "kernel_id": "51115962"}, {"ref": "whitecanvas/digit-recognizer-test", "kernel_id": "51927182"}, {"ref": "bamanboi/digit-recognizer", "kernel_id": "51078038"}, {"ref": "ioancristianbratu/28x28-mnist-classifier-with-numpy-and-pandas", "kernel_id": "51519753"}, {"ref": "ethanabimelech/mnist-cnn-from-scratch", "kernel_id": "51232225"}, {"ref": "baconallday/digit-recognizer", "kernel_id": "51242531"}, {"ref": "alexandersmyatskih/complete-torch-guide-for-beginners", "kernel_id": "51157414"}, {"ref": "ccpuuuk/austin", "kernel_id": "51051748"}, {"ref": "yuvam21/digit-recognizer21", "kernel_id": "51063677"}, {"ref": "jiaojay28/digit-recognizer-mnist", "kernel_id": "51268131"}, {"ref": "fedilansari/digit-recognizer", "kernel_id": "51227149"}, {"ref": "shikharc11/digit-recognizer-9d1d5a", "kernel_id": "51111233"}, {"ref": "madhusudhanv58/digit-recognizer", "kernel_id": "51899439"}, {"ref": "joshsloggett/neural-network", "kernel_id": "51943130"}, {"ref": "kamel90/mnist-torch-competition", "kernel_id": "52869297"}, {"ref": "jprukundo/quantum-artificial-intelligence-demo", "kernel_id": "52947077"}, {"ref": "owenpb/mnist-for-beginners-cnn-with-pytorch-3-3", "kernel_id": "52792972"}, {"ref": "owenpb/mnist-for-beginners-neural-net-with-pytorch-2-3", "kernel_id": "52310973"}, {"ref": "owenpb/mnist-for-beginners-with-scikit-learn-1-3", "kernel_id": "52249195"}, {"ref": "ivanvaccari/0-99667-yolov8x-cls-model", "kernel_id": "52104489"}, {"ref": "hasancanzkan/digit-recognizer-mlp", "kernel_id": "52639189"}, {"ref": "hasancanzkan/digit-recognizer-cnn", "kernel_id": "52908551"}, {"ref": "sprojects18/digits-recognizer", "kernel_id": "52768002"}, {"ref": "bunny11/digit-recognizer-by-gurpreetsingh", "kernel_id": "52584635"}, {"ref": "alaatahaelmaria/handwritten-digit-recognition", "kernel_id": "52480557"}, {"ref": "jollychappies/neural-network-from-scratch-using-numpy", "kernel_id": "52728883"}, {"ref": "hakancangunerli/simple-mnist-nn-from-scratch-jax-no-tf-keras", "kernel_id": "52822291"}, {"ref": "yusufsercantnk/cnn-digit-recognizer-0-9886", "kernel_id": "52103522"}, {"ref": "aryamazloomi/digit-recognizer", "kernel_id": "52077798"}, {"ref": "virenavy/stephen-tantowi-cnn-digit-recognizer", "kernel_id": "52521777"}, {"ref": "tadesseabateneh/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "52422109"}, {"ref": "rashidrk/digit-recognizer-with-vit-99-4-acc", "kernel_id": "52522882"}, {"ref": "vitanhon/digit-regconizer-with-neural-network", "kernel_id": "52376030"}, {"ref": "vitanhon/cnn-for-digit-classifier", "kernel_id": "52393514"}, {"ref": "yowamishi/zero-to-cnn-digit-recognizer-pytorch", "kernel_id": "52705739"}, {"ref": "devbachani/digit-recognizer-using-cnn", "kernel_id": "52020755"}, {"ref": "czy111/gan-camel", "kernel_id": "52968420"}, {"ref": "czy111/vae-mnist-and-celeba", "kernel_id": "52616802"}, {"ref": "ehababoelnaga/mnist-classification", "kernel_id": "52809413"}, {"ref": "miracgokmen/how-to-use-pytorch", "kernel_id": "52759250"}, {"ref": "miracgokmen/cnn-with-keras", "kernel_id": "52903040"}, {"ref": "miracgokmen/cnn-with-digit-recognizer-using-pytorch", "kernel_id": "52828091"}, {"ref": "waalbannyantudre/mnist-handwritten-digits-cnn-with-keras", "kernel_id": "52999878"}, {"ref": "dharnidhardeshmukh/digit-recogniser", "kernel_id": "52096996"}, {"ref": "mahmoudsaadmahmoud/digit-recognizer", "kernel_id": "52412398"}, {"ref": "ajaswanthkiran/digit-recognizer-competition", "kernel_id": "52969462"}, {"ref": "abdullahkhan098/digit-recognizer-lenet", "kernel_id": "52568979"}, {"ref": "ziadwael/feature-extraction-using-centroid", "kernel_id": "52498428"}, {"ref": "yunsuxiaozi/mnist-dataset-starter-notebook", "kernel_id": "52975062"}, {"ref": "mohammedbahgat/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "52590906"}, {"ref": "shaikhabdulrafay03/mnist-as-unsupervised-data", "kernel_id": "52351195"}, {"ref": "anmolarora15/digit-recognition-using-cnn-98-8-accuracy", "kernel_id": "52256333"}, {"ref": "abhyuday0409singh/transfer-learning", "kernel_id": "52440566"}, {"ref": "ahmedali74/centroid-feature-extraction-on-mnist", "kernel_id": "52419399"}, {"ref": "bartezky/digit-recognizer-cnn", "kernel_id": "52124075"}, {"ref": "titan22903/nirma-dl-ffnn", "kernel_id": "52697497"}, {"ref": "kashyapankush/mnist-dataset", "kernel_id": "52640780"}, {"ref": "anikethhhh/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "52735159"}, {"ref": "hetpatel10/cnn-digit-recognizer", "kernel_id": "52568244"}, {"ref": "userniki/mnist-classification", "kernel_id": "52482407"}, {"ref": "shadesh/digit-recognizer", "kernel_id": "52369697"}, {"ref": "mhamza786/digits-recognizer-with-pytorch", "kernel_id": "52502299"}, {"ref": "zeeshanyounas001/digit-recognizer", "kernel_id": "52379784"}, {"ref": "kevinkcui/mnist-introduction-to-computervision-with-pytorch", "kernel_id": "52445825"}, {"ref": "marquis03/pytorch-lightning-baseline-digit-recognizer", "kernel_id": "52512096"}, {"ref": "kyquac/onxx-run", "kernel_id": "52200070"}, {"ref": "adriansansi/autoencoder-svm-easy-approach", "kernel_id": "52252442"}, {"ref": "fr4nc1slee/still-painful-mnist-by-tensorflow", "kernel_id": "52461478"}, {"ref": "mellyclass/melly-dc-digit-recognition", "kernel_id": "52583498"}, {"ref": "boboliao/digit", "kernel_id": "52149806"}, {"ref": "gufengjin/notebook7ac6346122", "kernel_id": "52436413"}, {"ref": "venkatamanibabu/mnist-nn-from-scratch-practice", "kernel_id": "52946814"}, {"ref": "fibleep/pytorch-lightning-cnn-99", "kernel_id": "52520963"}, {"ref": "ravaghi/neural-networks-from-scratch-using-only-numpy", "kernel_id": "52911640"}, {"ref": "rakhidhama/digit-recognizer", "kernel_id": "52421571"}, {"ref": "rakhidhama/notebook78957a76e9", "kernel_id": "52520612"}, {"ref": "seymurqribov/optimization-algortithms-and-wieghts", "kernel_id": "52571902"}, {"ref": "kavindukokila/digit-recognizer", "kernel_id": "52156008"}, {"ref": "zzqwps/mnist-distinguish", "kernel_id": "52040820"}, {"ref": "mohammadmauludin/mohammad-mauludin-adv-machine-learning", "kernel_id": "52577559"}, {"ref": "dakur17/davidk-digitrecognizer", "kernel_id": "52575513"}, {"ref": "rizaldiekoprasetyo/fork-of-mnist-2022", "kernel_id": "52592404"}, {"ref": "rizaldiekoprasetyo/rizaldi-eko-prasetyo-digitrecognizer", "kernel_id": "52590726"}, {"ref": "purnomo/purnomohadi-sutedjo-digit-recognizer", "kernel_id": "52623632"}, {"ref": "mohammedaabith/digit-recognizer-using-neural-network", "kernel_id": "52578341"}, {"ref": "lulukshartono/luluk-sh-digit-recognizer-cnn", "kernel_id": "52500334"}, {"ref": "hanyaohui/mnist-pytorch", "kernel_id": "52402090"}, {"ref": "alifougi/digit-recognizer-without-tf", "kernel_id": "52113112"}, {"ref": "carolls/carol-digit-recognizer", "kernel_id": "52559856"}, {"ref": "walkingwizard0/mnist-digit-recognizer-using-tensorflow", "kernel_id": "52150776"}, {"ref": "ahmadh23mhsisttsacid/ahmad-habib-digit-recognizer", "kernel_id": "52161772"}, {"ref": "magdalenaobrembska/digit-recognizer-competition", "kernel_id": "52096580"}, {"ref": "asadahmad19/digit-recogizer-using-knn", "kernel_id": "52580822"}, {"ref": "hafidhamrullah/hafidh-digit-recognizer-competition", "kernel_id": "52583047"}, {"ref": "gokul9405/notebookeef517c9dc", "kernel_id": "52431710"}, {"ref": "ellbeh/transferlearning-mobilenetv2-only-architecture", "kernel_id": "52519599"}, {"ref": "melikechan/mnist-98-9-accuracy-using-cnn", "kernel_id": "52052050"}, {"ref": "jamessuryaputra/implementing-digit-recognition", "kernel_id": "52078111"}, {"ref": "katariyavivek/mnist-data", "kernel_id": "52981127"}, {"ref": "eileenchen03/digit-recognition", "kernel_id": "52054283"}, {"ref": "linxishuixin/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "52214627"}, {"ref": "gustavodomin/digit-recognizer", "kernel_id": "52587328"}, {"ref": "jonathanyuri0/digit-recognizer", "kernel_id": "52451703"}, {"ref": "michellejolink/neural-network-from-scratch", "kernel_id": "52491521"}, {"ref": "bibekbhusal0/digit-recognizer-with-keras-99-978-accurate", "kernel_id": "52831089"}, {"ref": "angelina0202/neural-network", "kernel_id": "52837592"}, {"ref": "rminator/kaggle-mnist-nn-xgb", "kernel_id": "53401023"}, {"ref": "mikedelong/sklearn-sgd-classifier", "kernel_id": "53574200"}, {"ref": "mikedelong/knn-acc-0-96", "kernel_id": "53513909"}, {"ref": "mikedelong/knn-resnet-f1-0-9685", "kernel_id": "53528668"}, {"ref": "mikedelong/simple-keras-cnn", "kernel_id": "53753811"}, {"ref": "abhi10699/mnist-gan", "kernel_id": "53351536"}, {"ref": "asubasi/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "53408831"}, {"ref": "shwetalishimangaud/digit-recognizer-with-pytorch", "kernel_id": "53633459"}, {"ref": "rodrigocorreia/digit-recognizer", "kernel_id": "53039680"}, {"ref": "gladyswahito/digit-recognition-using-cnn-on-mnist-dataset", "kernel_id": "53924009"}, {"ref": "hasancanzkan/digit-recognizer-torch-resnet18", "kernel_id": "53148667"}, {"ref": "leonjye/mnist-ann-cnn", "kernel_id": "53738862"}, {"ref": "dibkb9/comparing-different-optimizers-tensorflow", "kernel_id": "53624282"}, {"ref": "freacle/neural-network-from-scratch-with-numpy", "kernel_id": "53609027"}, {"ref": "freacle/convolutional-neural-network-from-scratch-numpy", "kernel_id": "53628776"}, {"ref": "robertchihaia/exploratory-work", "kernel_id": "53641560"}, {"ref": "garfield2021/digit-recognizer-keras-simple-layers", "kernel_id": "53894600"}, {"ref": "jvthunder/tutorial-neural-network", "kernel_id": "53556766"}, {"ref": "subhamsrivastavaml/solving-mnist-using-svm", "kernel_id": "53599411"}, {"ref": "lucasnastariziza/mnist-pytorch-custom-cnn-acc-0-991", "kernel_id": "53081493"}, {"ref": "manas28/digit-recognition-pytorch-cnn", "kernel_id": "53342531"}, {"ref": "devbachani/digit-recognizer-using-transfer-learning", "kernel_id": "53151258"}, {"ref": "uviiiii/prediction-cnn", "kernel_id": "53457181"}, {"ref": "kleberjunior/cnn-mnist", "kernel_id": "53275045"}, {"ref": "mariaoussadi/cnn-with-keras-tensorflow-on-mnist-dataset", "kernel_id": "53456118"}, {"ref": "rathlavathshivakumar/digit-recognizer-using-pca", "kernel_id": "53522384"}, {"ref": "rubenaloukou/digit-recognizer-cnn-model", "kernel_id": "53397016"}, {"ref": "karthiprasad04/digit-recognizer-cnn-torch", "kernel_id": "53324101"}, {"ref": "emadanas/digit-recognizer-cnn", "kernel_id": "53364414"}, {"ref": "avtnshm/mnist-cv-with-deep-learning-basic-notebook", "kernel_id": "53201451"}, {"ref": "rafe12/digit-recognizer", "kernel_id": "53717633"}, {"ref": "mo7amed3twan/digitrecognizerwithcnn-99-074", "kernel_id": "53615302"}, {"ref": "jorjo2009/gan-digits", "kernel_id": "53740673"}, {"ref": "shkim03/sh-pytorch-digitrecognizer", "kernel_id": "53490424"}, {"ref": "ashishsabraham/keras-mnistdigit", "kernel_id": "53477857"}, {"ref": "vl9124/mnist-digit-recognizer", "kernel_id": "53583885"}, {"ref": "youssefhassan1234/fork-of-digit-recognizer", "kernel_id": "53724413"}, {"ref": "abacaxiguy/digit-recognizer", "kernel_id": "53212011"}, {"ref": "souravhada/digit-recogniser", "kernel_id": "53575078"}, {"ref": "luluw8071/mnist-trained-on-tinyvgg-model-with-pytorch", "kernel_id": "53429371"}, {"ref": "abeshith/digit-recoginizer", "kernel_id": "53801367"}, {"ref": "viktormoskovchenko/mnist-netology-hw1", "kernel_id": "53816854"}, {"ref": "shouvikdey21/digit-recogniser-99-5-beginner-friendly", "kernel_id": "53246270"}, {"ref": "mateomiller/notebook1754b3c16c", "kernel_id": "53007293"}, {"ref": "mateomiller/mnist-digit-recognizer-convolutional-nn", "kernel_id": "53014291"}, {"ref": "nuezzz/mnist-from-scratch", "kernel_id": "53788507"}, {"ref": "arvindvasa/digit-classification-with-pca-and-visualization-3d", "kernel_id": "53962041"}, {"ref": "nikitavet/your-own-neural-network-mnist-97-9", "kernel_id": "53620217"}, {"ref": "rgarg1234/digit-recognizer-cnn", "kernel_id": "53514471"}, {"ref": "kodaichi/notebookb169d7401b", "kernel_id": "53939225"}, {"ref": "jikadrahimanshu/practical-08-flatten-simple-network", "kernel_id": "53491890"}, {"ref": "adends/digit-recognizer-with-pytorch", "kernel_id": "53469749"}, {"ref": "kelvenalca/ml-mnist-pt-br", "kernel_id": "53473317"}, {"ref": "sohamnimale/introduction-to-gans-with-keras-bfa972", "kernel_id": "53939266"}, {"ref": "abhinavdubey00/cnn-keras-guide-0-98", "kernel_id": "53145908"}, {"ref": "hiteshgtr/digit-recognizer-support-vector-classifier", "kernel_id": "53181967"}, {"ref": "okendowycliffe/brain-tumor-classification-using-vision-transforme", "kernel_id": "53959366"}, {"ref": "brotiger/mnist-pytorch-nn", "kernel_id": "53600891"}, {"ref": "priyabratabhoumik/notebook", "kernel_id": "53790585"}, {"ref": "tssilva93/digit-recognizer-keras-cnn", "kernel_id": "53005592"}, {"ref": "victorhugosilvangelo/ab2-1-dl-2023-2", "kernel_id": "53247221"}, {"ref": "luke2642/tinygrad-mnist", "kernel_id": "53880659"}, {"ref": "shahjhanalam/digit-recognizer-using-keras-97-95", "kernel_id": "53123139"}, {"ref": "believer0708/pca-on-mnist", "kernel_id": "53500768"}, {"ref": "yusufsefa/convolutional-neural-network-cnn-tutorial", "kernel_id": "53337204"}, {"ref": "abduxamidovjaxongir/cnn-sign-numbers", "kernel_id": "53528663"}, {"ref": "karan8013/digit-recognizer-with-vision-transformers-99-4", "kernel_id": "53743239"}, {"ref": "insanecoder69/digit-recognizer", "kernel_id": "53913869"}, {"ref": "khaledmofa/drm-with-tf", "kernel_id": "53767045"}, {"ref": "nadhembenhadjali/pytorch-mnist", "kernel_id": "53336233"}, {"ref": "maiadox/digit-recognizer-from-scratch", "kernel_id": "53620308"}, {"ref": "connectamamidzu/simple-97-test-set-accuracy-architecture", "kernel_id": "53832191"}, {"ref": "zhifine/week6fzhcnn-from-scratch", "kernel_id": "53687404"}, {"ref": "siddharthdash123/digit-recognition", "kernel_id": "53659273"}, {"ref": "adrianasalcedo/mnist-lenet-model-96", "kernel_id": "53975942"}, {"ref": "aaronfriasr/mnist-simple-cnn-keras-accuracy-0-99-top-1", "kernel_id": "53658685"}, {"ref": "nathanaeltamirat/cnn-digit-recognition", "kernel_id": "53536944"}, {"ref": "aditya0kumar0tiwari/digit-recognizer-with-keras", "kernel_id": "53599916"}, {"ref": "matheusryan/mnist", "kernel_id": "53250366"}, {"ref": "alokkumar175358/day-49-csa-code", "kernel_id": "53621741"}, {"ref": "athusvasconcelos/athus-vasconcelos-digit-recognizer", "kernel_id": "53260294"}, {"ref": "avats8484/final-ensemble-digit-recognizer-avr", "kernel_id": "53708859"}, {"ref": "imaneall/notebookaf4c22c81a", "kernel_id": "54211228"}, {"ref": "member09/digit-nn", "kernel_id": "54590857"}, {"ref": "maruichi01/digit-submit-public", "kernel_id": "54761797"}, {"ref": "hementsharam/tensorflow-model-for-digit-recognition", "kernel_id": "54670849"}, {"ref": "wenchenhuang/notebook559b5865af", "kernel_id": "54907261"}, {"ref": "skywolfmo/mlascent-4-how-to-train-your-cl", "kernel_id": "54680534"}, {"ref": "gladyswahito/digit-recognizer-using-pytorch", "kernel_id": "54927782"}, {"ref": "utkarshdabholkar/building-a-neural-network-from-scratch", "kernel_id": "54775565"}, {"ref": "markvernin/numbers-classification-pytorch-for-beginners", "kernel_id": "54304657"}, {"ref": "gowtham58/digit-recognizer-with-pytorch-cnn", "kernel_id": "54974861"}, {"ref": "moonisj/digit-recognizer-tf", "kernel_id": "54153580"}, {"ref": "parthbagda/mnist-from-scratch-without-tensorflow-pytroch", "kernel_id": "54899587"}, {"ref": "subhiarjaria09/digit-recogniser", "kernel_id": "54075436"}, {"ref": "wellyw/mnist-digit-adam-optimizer-from-scratch-97", "kernel_id": "54160435"}, {"ref": "onetooth/introduction-to-gans-with-keras-bfa972", "kernel_id": "54045631"}, {"ref": "tamirtsogbayar/notebook9611c119e8", "kernel_id": "54445401"}, {"ref": "piyushborhade/handwritten-digits-classification-using-neural-net", "kernel_id": "54498762"}, {"ref": "golammostofas/distributed-training-using-gpu-data-parallelism", "kernel_id": "54713935"}, {"ref": "hevenshchen/kaggle-tuitor", "kernel_id": "54656998"}, {"ref": "konomuabe/digit-recognizer-with-keras3-efficientnet", "kernel_id": "54649345"}, {"ref": "ohagwucollinspatrick/neural-networks-with-numpy-on-mnist-images", "kernel_id": "54302985"}, {"ref": "nmsriharsha576/mnistmetrics", "kernel_id": "54483770"}, {"ref": "danielnaryshev/digit-deep-learning-cnn", "kernel_id": "54522302"}, {"ref": "khaledshaheen/digit-recognizer-simple-nn-using-tf", "kernel_id": "54974102"}, {"ref": "engamohammed/digit-recognizer", "kernel_id": "54581867"}, {"ref": "sakshamsaklani/mnist-digit-recog", "kernel_id": "54772713"}, {"ref": "alphatheta/random-mnist", "kernel_id": "54089204"}, {"ref": "gabrielbaiduc/99-6-cnn-with-keras-and-tf-data-api", "kernel_id": "54972902"}, {"ref": "kairo0628/mnist-using-cnn", "kernel_id": "54207735"}, {"ref": "omariovic/one-shot-learning-with-pytorch", "kernel_id": "54133921"}, {"ref": "dhruv308/pca-demo", "kernel_id": "54517149"}, {"ref": "mohamedelhawary0/digit-recognizer", "kernel_id": "54314102"}, {"ref": "shwetakk/notebookcf718cf8b2", "kernel_id": "54221330"}, {"ref": "brunouranus/digit-recognizer-ann-simple-cnn-cnn", "kernel_id": "54083078"}, {"ref": "nithul/mnist", "kernel_id": "54350912"}, {"ref": "sehajbirsinghbains/digit-recognizer", "kernel_id": "54224766"}, {"ref": "akoirala111/using-cnn", "kernel_id": "54348538"}, {"ref": "kartikye10/digit-recognizer-tenserflow", "kernel_id": "54127141"}, {"ref": "klixel/digit-recognizer", "kernel_id": "54849360"}, {"ref": "thomas1999h/digit-thomas", "kernel_id": "54063190"}, {"ref": "connectamamidzu/simple-99-test-set-accuracy-architecture", "kernel_id": "54314670"}, {"ref": "varunngupta/digitrecognizer", "kernel_id": "54058139"}, {"ref": "maehashitatsuya/cnn-batchnormalization-dropout", "kernel_id": "54324096"}, {"ref": "kianay/handwritten-digit-recognizer-from-scratch", "kernel_id": "54805069"}, {"ref": "sakshigoyal001/digitrecognizer", "kernel_id": "54663626"}, {"ref": "sametayyldz/mnist-recognizer", "kernel_id": "54875859"}, {"ref": "chaitanyajakate42004/beuty-of-pca", "kernel_id": "54703323"}, {"ref": "pranavijs/handwritten-digits-classification", "kernel_id": "54520226"}, {"ref": "amankumarprajapatii/notebook1f79f97fd7", "kernel_id": "54153361"}, {"ref": "ialtun/2-introduction-cnn-with-keras", "kernel_id": "54673908"}, {"ref": "sawkumar/pca-demo", "kernel_id": "54513725"}, {"ref": "samanvaysiddharth/digitrecognizer", "kernel_id": "54256514"}, {"ref": "dapoopy/migrainedata-nn", "kernel_id": "54292404"}, {"ref": "aryamansharma813/mnist-from-scratch-for-self-learning", "kernel_id": "54986472"}, {"ref": "yfchauhk/mnist-from-scratch", "kernel_id": "54295316"}, {"ref": "bibekbhusal0/digit-recognizer-with-pytorch-accuracy-99-685", "kernel_id": "54037617"}, {"ref": "yongwookim1/mnist-pytorch-cnn", "kernel_id": "54298332"}, {"ref": "umarfaruksidat/digit-recognizer", "kernel_id": "54930243"}, {"ref": "divu2001/mnist-classifier-using-knn-pca", "kernel_id": "54567138"}, {"ref": "messianhamster/simple-pytorch-cnn-solution", "kernel_id": "54356639"}, {"ref": "messianhamster/pytorch-inception-solution", "kernel_id": "54420259"}, {"ref": "cheshta09/digit-recognizer", "kernel_id": "54211090"}, {"ref": "chiragchiku25/digit-recogniser-tensorflow", "kernel_id": "54224428"}, {"ref": "tienweihsu/digit-recognizer-cnn-test", "kernel_id": "54110187"}, {"ref": "mukkupretski/matikkamaanantai", "kernel_id": "54303647"}, {"ref": "forsesonocri/nn-da-zero", "kernel_id": "54683069"}, {"ref": "wangchenxu/digit-recognizer-cnn", "kernel_id": "55446460"}, {"ref": "wwwflx/light-cnn-digit-recognizer-with-augumentation", "kernel_id": "55095080"}, {"ref": "dwaipayanduttadd/digit-recognizer", "kernel_id": "55299586"}, {"ref": "vikramsandu/ddpm-from-scratch-in-pytorch", "kernel_id": "55700120"}, {"ref": "shankarrajappa/classification-mnist-digit-recogniser", "kernel_id": "55152276"}, {"ref": "mihiranpasindu/digit-recognizer", "kernel_id": "55702491"}, {"ref": "hoanganh911/2001202008-hoangtheanh-xulyanh", "kernel_id": "55536740"}, {"ref": "neuwcx/digit", "kernel_id": "55111498"}, {"ref": "neuwcx/a-beginner-s-approach-to-classification", "kernel_id": "55141038"}, {"ref": "muhammadmagistra/digit-recognizer-cnn-98-val-acc", "kernel_id": "55893476"}, {"ref": "mahmoudmoawed/digit-recognizer-score-97-5", "kernel_id": "55498044"}, {"ref": "vassiliph/2b-simplest-one-layer-nn-in-pytorch-classificat", "kernel_id": "55744460"}, {"ref": "vassiliph/1a-just-format-plain-python", "kernel_id": "55736014"}, {"ref": "vassiliph/1b-just-format-pandas", "kernel_id": "55739296"}, {"ref": "vassiliph/2a-simplest-one-layer-nn-in-pytorch-regression", "kernel_id": "55739694"}, {"ref": "golammostofas/distributed-traning-hybrid-parallelism", "kernel_id": "55248804"}, {"ref": "mornstar13/digit-rcognizer-mnist", "kernel_id": "55872644"}, {"ref": "robertgravelle/digit-recognizer-1st", "kernel_id": "55592146"}, {"ref": "kavya2099/digit-recognizer", "kernel_id": "55643457"}, {"ref": "thirupatireddy/digit-recognition", "kernel_id": "55540190"}, {"ref": "joshuamao/learn-svm", "kernel_id": "55428693"}, {"ref": "nikhilteja21/character-recognition-cnn", "kernel_id": "55905632"}, {"ref": "eneskosar19/mnist-ann-cnn-99-7-accuracy", "kernel_id": "55208896"}, {"ref": "aleksandrastartov/digit", "kernel_id": "55823726"}, {"ref": "aidinhan/digit-recognizer", "kernel_id": "55984545"}, {"ref": "satvshr/gan-mnist", "kernel_id": "55291748"}, {"ref": "lehoquoc/2001200755-lehoquoc-1200-1299", "kernel_id": "55536292"}, {"ref": "lehoquoc/2001200755-lehoquoc-9-04-2024", "kernel_id": "55001623"}, {"ref": "kulvardhan/mnist-digit-classification-99-5-accuracy", "kernel_id": "55716890"}, {"ref": "pawelkauf/autoencoders-simplified-a-step-by-step-guide", "kernel_id": "55300108"}, {"ref": "chubar/2001207195-trankimphung-26-04-2024", "kernel_id": "55536825"}, {"ref": "wangchenghao00/digit-recognizer", "kernel_id": "55249009"}, {"ref": "sachinsd/digit-recognizer-xgb", "kernel_id": "55364134"}, {"ref": "ichigoe/h2o-automl-deeplearning-baseline-digit-recognizer", "kernel_id": "55627833"}, {"ref": "pratik1001/emnist-pca", "kernel_id": "55592059"}, {"ref": "ahmetburakbier/handwritten-digit-recognition", "kernel_id": "55563762"}, {"ref": "brotiger/mnist-cnn", "kernel_id": "55040744"}, {"ref": "kirtanbhavsar8888/making-a-neural-network-from-scratch", "kernel_id": "55985724"}, {"ref": "hikageshinomori/99-48-accuracy", "kernel_id": "55092187"}, {"ref": "aniketmahajan1104/digit-recognizer", "kernel_id": "55394717"}, {"ref": "abhishektyagi01/neural-network-from-scratch", "kernel_id": "55070976"}, {"ref": "edwardduong/2001200657-duongtrongbinh-2500-2599", "kernel_id": "55317615"}, {"ref": "hebamaher/digit-recognizer-notebook", "kernel_id": "55502031"}, {"ref": "hebamaher/digit-recognizer", "kernel_id": "55496783"}, {"ref": "monikag7/fashionmnist", "kernel_id": "55640002"}, {"ref": "nguynhul/doan-hocmay-n11", "kernel_id": "55248619"}, {"ref": "chopper53/mnistdigitrecognizerusingcnn", "kernel_id": "55135560"}, {"ref": "nguyentronghoangphuc/2001210239-nguyentronghoangphuc-0-99", "kernel_id": "55314571"}, {"ref": "williamjorshop/svm-knn-randomforest-digit-recognition", "kernel_id": "55430308"}, {"ref": "williamjorshop/cnn-digital-recognition", "kernel_id": "55471583"}, {"ref": "dainguyen155/2001215687-nguyenvoquocdai-23-04-2024", "kernel_id": "55244908"}, {"ref": "nguyenthanhnhatanh/2033210412-nguyenthanhnhatanh-1600-1699", "kernel_id": "55315422"}, {"ref": "maelghrib/digit-recognizer", "kernel_id": "55997518"}, {"ref": "vrajrafe/4-digit-recognizer", "kernel_id": "55459798"}, {"ref": "zhiyuzhang03/25-million-images-0-99757-mnist", "kernel_id": "55805527"}, {"ref": "zhiyuzhang03/how-to-choose-cnn-architecture-mnist", "kernel_id": "55805537"}, {"ref": "yashkumardragon/rnn-for-images", "kernel_id": "55384221"}, {"ref": "toughstone/digit-recognizer-beginner-s-guide-series", "kernel_id": "55418360"}, {"ref": "shahjalalkhan/rgb-image-to-grayscale-image", "kernel_id": "55598054"}, {"ref": "fatihonuragac/cnn-with-digit-recognizer-99", "kernel_id": "55896554"}, {"ref": "joelknapp/mnist-analysis-using-keras", "kernel_id": "55497866"}, {"ref": "parkjunhopjh/notebook27f73aae51", "kernel_id": "55205411"}, {"ref": "phuongnhuphat/2001216029-phuongnhuphat-3300-3399-24-05-2024", "kernel_id": "55538409"}, {"ref": "qungthianh/2001210241-thaianhquang-3100-3199", "kernel_id": "55538854"}, {"ref": "trongnhan02/2001200022-nguyentrongnhan-knn-pca", "kernel_id": "55003310"}, {"ref": "trongnhan02/2001200022-nguyentrongnhan-1400-1499", "kernel_id": "55535453"}, {"ref": "samavedulashashank/digit-recognizer", "kernel_id": "55277959"}, {"ref": "marcschnathmeier/mnist-only-numpy", "kernel_id": "55019167"}, {"ref": "nguynquytchin/2001215636-nguy-n-quy-t-chi-n-23-04", "kernel_id": "55244113"}, {"ref": "ngominhvuongg/2001207306-ngominhvuong-23-4-2024", "kernel_id": "55244475"}, {"ref": "baotran2713/2001215623-trangiabao", "kernel_id": "55244295"}, {"ref": "tulord/2001216274-nguyenthanhtu-21-05-2024", "kernel_id": "55244542"}, {"ref": "trngcnh/2001200696-truongcanhtruong-2600-2699", "kernel_id": "55317629"}, {"ref": "trungnhann/2033210409-trantrungnhan-1900-1999", "kernel_id": "55418984"}, {"ref": "robertlorenz/digit-recognizer-using-pytorch-with-custom-dataset", "kernel_id": "55543721"}, {"ref": "dlarionov/continual-learning-on-permuted-mnist", "kernel_id": "56439341"}, {"ref": "zehrakorkusuz/pytorch-cnn-w-b-data-augmentation-99-367", "kernel_id": "56448050"}, {"ref": "abdalruhmanmohamed/digit-advanced-dnn", "kernel_id": "56108446"}, {"ref": "abdullatifkaban/digit-recognizer-with-deep-learning", "kernel_id": "56479989"}, {"ref": "subhamsrivastavaml/25-million-images-0-99757-mnist", "kernel_id": "56349062"}, {"ref": "abhishekmungoli/gan-ann-based-implementation-on-mnist-dataset", "kernel_id": "56718348"}, {"ref": "abhishekmungoli/gan-cnn-based-implementation-on-mnist-dataset", "kernel_id": "56718586"}, {"ref": "huyhoang333/tgmt-ann", "kernel_id": "56865905"}, {"ref": "tashyab/digits-recognition-with-99-9-accuracy-keras", "kernel_id": "56261219"}, {"ref": "syaifulhendriirawan/digit-recognizer-using-cnn", "kernel_id": "56947191"}, {"ref": "gjaynir0508/nn-from-scratch", "kernel_id": "56581003"}, {"ref": "abushayid/english-digits-recognization-using-cnn", "kernel_id": "56126871"}, {"ref": "nkt16062001/2001190863-nguyenxuantinh-3300-3399", "kernel_id": "56218607"}, {"ref": "amalieshi/digit-recognizer-with-pytorch-ryan-nolan", "kernel_id": "56336764"}, {"ref": "tahseenislamsajon/image-classification-intro-w-tensorflow", "kernel_id": "56518995"}, {"ref": "valentingans/notebook-mnist-vgans", "kernel_id": "56153483"}, {"ref": "akshitsharma1/recurrent-neural-networks-for-digit-recognition", "kernel_id": "56353447"}, {"ref": "victornuez/multilayer-perceptron-mlp-hello-world", "kernel_id": "56390638"}, {"ref": "anhphongdo/2001200675-hoanganhphong-xla-4-5-3100-3199", "kernel_id": "56219471"}, {"ref": "phonghoi/2001207319-tongvanhoaiphong-3600-3699-xulyanhbuoi3", "kernel_id": "56127009"}, {"ref": "caoducdat1/caoducdat-2001207078-25-5-2024-2200-2299", "kernel_id": "56219898"}, {"ref": "rabianaz22/handwritten-digit-classification-with-cnn", "kernel_id": "56518070"}, {"ref": "shakilkhan24/resnet50-trial", "kernel_id": "56522164"}, {"ref": "sayedul45/digit-recognizer", "kernel_id": "56073343"}, {"ref": "sayedul45/digit-recognizer-by-bongodev", "kernel_id": "56681293"}, {"ref": "baseershah/mnist-cnn-0-99053", "kernel_id": "56747786"}, {"ref": "alyhassanshehata/numper-detection", "kernel_id": "56334104"}, {"ref": "lintss/mnist-cnn", "kernel_id": "56334644"}, {"ref": "lintss/mnist-nn", "kernel_id": "56409639"}, {"ref": "leotopalogloumundy/encoder-no-pretrain-digit-recognizer", "kernel_id": "56096962"}, {"ref": "swekerr/mnist-using-svm-90-9-accuracy", "kernel_id": "56828362"}, {"ref": "mostafazakt/build-a-nn-from-scratch", "kernel_id": "56805182"}, {"ref": "pavelermolin/pytorch-digit-recognizer-with-mnist", "kernel_id": "56934906"}, {"ref": "thienanlnguyen/vgg16-with-mnist", "kernel_id": "56854145"}, {"ref": "thienanlnguyen/inspiration-towards-topology-ann-manifold-viz", "kernel_id": "56859347"}, {"ref": "mrecho/mnist-prediction-using-cnn", "kernel_id": "56734023"}, {"ref": "huniro/2001216078-maclenhuquan-1100-1199-01-06-2024", "kernel_id": "56217800"}, {"ref": "shahjalalkhan/image-classification-intro", "kernel_id": "56713173"}, {"ref": "martinpelaezdiaz/mnist-cnn-from-scratch", "kernel_id": "56240523"}, {"ref": "vladyslavmustyatsa/digit-classifier-with-tensorflow", "kernel_id": "56797228"}, {"ref": "ethereal111/mnist-digit-recognizer-with-svm", "kernel_id": "56883020"}, {"ref": "jayc00009/neural-network-mnist-digits", "kernel_id": "56455246"}, {"ref": "viethungtran86/xulyanh2", "kernel_id": "56217770"}, {"ref": "akunoikiga1/project-mnist", "kernel_id": "56808501"}, {"ref": "davidemartinelli710/experimenting-autoencoders", "kernel_id": "56526143"}, {"ref": "lvnquan/2001200692-levanquan-1000-1099-04-05-2024", "kernel_id": "56217853"}, {"ref": "huynhthanhnhasss/2001210125-huynhthanhnha-xla-buoi1-600-699", "kernel_id": "56217635"}, {"ref": "anhqunl/2001216075-leanhquan-buoi1-2300-2399", "kernel_id": "56220063"}, {"ref": "trngphanthanh/2001180172-phanthanhtrong-400-499-4-5", "kernel_id": "56217825"}, {"ref": "vominhquoc/2001210820-vominhquoc-thbuoi1-2400-2499", "kernel_id": "56217720"}, {"ref": "trngphchnglc/2001180914-tr-ng-ph-c-h-ng-l-c-xulyanh-3600-3699", "kernel_id": "56217599"}, {"ref": "ngckiu/2001215898-lathingockieu-04-05-24-800-899", "kernel_id": "56217803"}, {"ref": "phmdonnguyntng/2001181406-phamdoannguyentung-xla-buoi3-300-399", "kernel_id": "56217756"}, {"ref": "vuduykhng/2001190128-vuduykhuong-1600-1699-4", "kernel_id": "56217880"}, {"ref": "lechikhanh/2001210797-lechikhanh-1900-1999", "kernel_id": "56217722"}, {"ref": "phmnhhng/20001215803-phamdinhhung-2800-2899-4-5", "kernel_id": "56218108"}, {"ref": "tranthengocmai/2005217964-tranthengocmai-04-05-3500-3599", "kernel_id": "56218111"}, {"ref": "alaala1212/2001210570-nguyenhaidang-baibuoi01-4-5-2900-2999", "kernel_id": "56218358"}, {"ref": "minhqunchu/2001206948-chauminhquan-25-05-2024-500-599", "kernel_id": "56221097"}, {"ref": "huynhminhtri22012/2201200019-huynhminhtri-3400-3499-04052024", "kernel_id": "56219733"}, {"ref": "hector192667/rna-mnist-imagenes-con-pruebas-en-paint", "kernel_id": "56446371"}, {"ref": "ebrahemmostafa1/sgan-ai-448", "kernel_id": "56832797"}, {"ref": "cashfeg/digit-lr", "kernel_id": "57034983"}, {"ref": "ivarvb/notebookpc2", "kernel_id": "57514216"}, {"ref": "ajinkyakolhe112/digit-recognition-reusable-template-educational", "kernel_id": "57647831"}, {"ref": "holajuwon/cnn-with-pytorch", "kernel_id": "57015929"}, {"ref": "niketanmoon/implement-digit-recognizer-research-paper-pytorch", "kernel_id": "57765170"}, {"ref": "vikramsandu/guided-diffusion-by-openai-from-scratch", "kernel_id": "57044566"}, {"ref": "yyue11/hand-digit-recognition-cnn-simple-code-for-all", "kernel_id": "57391474"}, {"ref": "sergeyarhipov/digit-recognition", "kernel_id": "57456263"}, {"ref": "ghazouanihaythem/digit-recognizer-with-ann", "kernel_id": "57269136"}, {"ref": "mohidabdulrehman/mnist-cnn-cracking-digits", "kernel_id": "57563678"}, {"ref": "sugataraychaudhary/digit-recognizion", "kernel_id": "57166284"}, {"ref": "mohsinsial/mnist-digits-using-keras-for-beginners", "kernel_id": "57816910"}, {"ref": "rodrigojgalmeida/knn-acc-0-96", "kernel_id": "57014755"}, {"ref": "yuyanthat/mnist-cnn-digits-analysis", "kernel_id": "57837143"}, {"ref": "karolinajonczyk/nih-chest-xray-data-analysis", "kernel_id": "57973234"}, {"ref": "nguyenthilamtra/explainableai-he", "kernel_id": "57911626"}, {"ref": "atharvexr/numpynn-for-mnist", "kernel_id": "57937842"}, {"ref": "ignasialemany/cnn-data-augmentation", "kernel_id": "57566181"}, {"ref": "whoasked0/convolutional-neural-network-cnn-tutorial", "kernel_id": "57860042"}, {"ref": "phkhng/anns-for-digit-recognition", "kernel_id": "57398974"}, {"ref": "phkhng/cnn-for-digit-handwritten-number", "kernel_id": "57831877"}, {"ref": "bhargaviyer108/digit-recognizer", "kernel_id": "57383892"}, {"ref": "amanshah960/pca-demo", "kernel_id": "57393643"}, {"ref": "olumideoluwuyi/digit-recognizer-ipynb", "kernel_id": "57570718"}, {"ref": "ezschneider/mnist-cnn-with-data-augmentation", "kernel_id": "57695760"}, {"ref": "devilbornfire/mnist-nn", "kernel_id": "57536392"}, {"ref": "dmitrytrubitsin/digit-recognizer", "kernel_id": "57405501"}, {"ref": "rionandosoeksinputra/digit-recognizer-tf-cnn", "kernel_id": "57216999"}, {"ref": "sivakarthikai/gan-s", "kernel_id": "57296871"}, {"ref": "jimpickrell/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "57686161"}, {"ref": "eliasproger/mnist-tf-keras", "kernel_id": "57591584"}, {"ref": "fadynabilmofeed/cnn-early-stopping-data-augmentation-and-visual", "kernel_id": "57520768"}, {"ref": "jinhuazhhhhh/cnn-with-digit-recognizer-99", "kernel_id": "57054050"}, {"ref": "edwardduong/2001200657-duongtrongbinh-2500-2599-ver2", "kernel_id": "57210904"}, {"ref": "adewarajames/mnist-digit-recognizer", "kernel_id": "57794634"}, {"ref": "dainguyen155/2001215687-nguyenvoquocdai-04-06-2024", "kernel_id": "57133476"}, {"ref": "quan30/2001216084-thaihoangquan-1200-1299-29-5-2024", "kernel_id": "57209214"}, {"ref": "draganpinsent98/mnist-svm-dnn-and-cnn-python", "kernel_id": "57861677"}, {"ref": "mudit2007/pca-demo", "kernel_id": "57924850"}, {"ref": "ethereal111/mnist-digit-recognizer-with-knn", "kernel_id": "57933591"}, {"ref": "ethereal111/mnist-digit-recognizer-with-cnn", "kernel_id": "57762042"}, {"ref": "manasvi0105/digit-recognition", "kernel_id": "57186800"}, {"ref": "adrianoinacaru/baseline-model", "kernel_id": "57844720"}, {"ref": "stanisawstankiewicz/digitrecognition", "kernel_id": "57268746"}, {"ref": "dacxj0/digits-recognizer-using-transfer-learning", "kernel_id": "57265440"}, {"ref": "jasper166/vaes-workbook", "kernel_id": "57066293"}, {"ref": "pitosk/2001216146-nguyenlebathanh-3200-3299", "kernel_id": "57217672"}, {"ref": "irenekorir/variational-autoencoder-with-pytorch", "kernel_id": "57503591"}, {"ref": "qungthianh/2001210241-thaianhquang-xulyanh2-cnn", "kernel_id": "57810414"}, {"ref": "sheldonic/mnistdataset-naive", "kernel_id": "57976480"}, {"ref": "nguynquytchin/2001215636-nguy-n-quy-t-chi-n-14-05-2024", "kernel_id": "57136417"}, {"ref": "maivnhng/2001200034-maivanhung-28-05-2900-2999", "kernel_id": "57133961"}, {"ref": "luinhkhoa/2001215877-luudinhkhoa-4-6-2024", "kernel_id": "57133931"}, {"ref": "nguynbonhn/2001200817-nguyenbaonhan-14-05-2024", "kernel_id": "57139477"}, {"ref": "hunhthailetung/2001202295-huynhthailetung-21-05-2024", "kernel_id": "57132888"}, {"ref": "thanhhungvo/2001210677-vothanhhung-14-05-2024-2000-2099", "kernel_id": "57136237"}, {"ref": "trngcnh/2001200696-truongcanhtruong-2600-2699-12-06", "kernel_id": "57220649"}, {"ref": "antrn111/2001215588-tranbaoan-xla-1400-1499-15-05-2024", "kernel_id": "57210252"}, {"ref": "gabrielparaipan/cnn-with-data-augmentation-pytorch", "kernel_id": "57831679"}, {"ref": "anlthnh/2001207166-lethanhan-14-05-2024-900-999", "kernel_id": "57130242"}, {"ref": "giathuan17/2001207369-huynhgiathuan-23-04-2024-500-599", "kernel_id": "57132182"}, {"ref": "giathuan17/2001207369-huynhgiathuan-14-04-24-500-599", "kernel_id": "57138767"}, {"ref": "giathuan17/2001207369-huynhgiathuan-21-04-24-500-599", "kernel_id": "57727770"}, {"ref": "hongsnnguynquc/2001190787-nguyenquochoangson-23-04-2024", "kernel_id": "57129593"}, {"ref": "quinfieeee/2001216094-dinhlethaoquynh-3300-3399", "kernel_id": "57209017"}, {"ref": "nguyentrongdinh1803/2001191211-nguyen-trong-dinh-1400-1499", "kernel_id": "57210911"}, {"ref": "tennysonw/mnist", "kernel_id": "57355924"}, {"ref": "tringuyn/2001216234-nguyenhoangtri-3500-3599", "kernel_id": "57485589"}, {"ref": "nguynanhhuy512/2001215818-nguyenanhhuy-buoi01-3300-3399", "kernel_id": "57490676"}, {"ref": "divyanshu2000/digit-recognizer-pytorch-simplified", "kernel_id": "57783387"}, {"ref": "navindasgupta/digit-recognizer-with-pytorch", "kernel_id": "57795688"}, {"ref": "yucanyang/train-data", "kernel_id": "57839150"}, {"ref": "catalinmandru/improved-model", "kernel_id": "57855973"}, {"ref": "catalinmandru/baseline-model", "kernel_id": "57850495"}, {"ref": "eb0x143839/pytorch-model-of-mnist-dataset-exportable", "kernel_id": "58278871"}, {"ref": "ajinkyakolhe112/digit-recognizer-simplest-tensorflow-pipeline", "kernel_id": "58267825"}, {"ref": "mmontiel/cnn-workshop", "kernel_id": "58536121"}, {"ref": "plavak10/digit-recognizer", "kernel_id": "58074358"}, {"ref": "aishwaryasharma1992/tf-keras-ftw", "kernel_id": "58176425"}, {"ref": "sonnylowe/mnist-digits-with-keras-cnn-accuracy-tricks", "kernel_id": "58736732"}, {"ref": "hseyinfurkanceran/mnist-digit-recognition-using-pytorch", "kernel_id": "58169663"}, {"ref": "ahmedsaad5/mnist-classification-with-tensorflow", "kernel_id": "58286754"}, {"ref": "namnb1/digitizer", "kernel_id": "58411284"}, {"ref": "hoanganh911/xulyanh2-2001202008-hoangtheanh", "kernel_id": "58024280"}, {"ref": "mateo252/k-means-from-scratch", "kernel_id": "58402268"}, {"ref": "samadazimiabriz/rf-adaboost", "kernel_id": "58290350"}, {"ref": "samadazimiabriz/knn-minist", "kernel_id": "58291740"}, {"ref": "samadazimiabriz/classfication-svm", "kernel_id": "58225604"}, {"ref": "esraatahersaad/handwritten-digit-recognition-using-cnn", "kernel_id": "58057411"}, {"ref": "jayambe36/notebookec6ae7704d", "kernel_id": "58114320"}, {"ref": "ilapro53/3n4dr-vgg-face-py3-6-6-submit-kaggle", "kernel_id": "58998631"}, {"ref": "hishamsharaf/digit-recognizer-using-custom-model-vgg-network", "kernel_id": "58109158"}, {"ref": "golammostofas/federated-learning-on-cnn-model-with-pytorch", "kernel_id": "58342328"}, {"ref": "bhaveshg20/kan-for-mnist", "kernel_id": "58670965"}, {"ref": "lucatudor/notebookbed853830b", "kernel_id": "58276140"}, {"ref": "k214744nizamuldin/digit-recognizer-lenet5-architecture", "kernel_id": "58807122"}, {"ref": "sabamadadi/autoencoder", "kernel_id": "58462089"}, {"ref": "prathamjoshi2002/mnist-dataset-digit-recognizer", "kernel_id": "58471324"}, {"ref": "aaroosh/realdigitrecognizer", "kernel_id": "58078781"}, {"ref": "khan1803115/digit-recognizer-using-cnn", "kernel_id": "58034163"}, {"ref": "vaishakmurali/pca-digit-recognition", "kernel_id": "58142333"}, {"ref": "lehoquoc/xulyanh2-2001200755-lehoquoc-1200-1299", "kernel_id": "58019473"}, {"ref": "chubar/2001207195-trankimphung-ck", "kernel_id": "58019143"}, {"ref": "adibur6/digit-recognizer-simple-cnn-acc-98-6-pytorch", "kernel_id": "58383975"}, {"ref": "hunhthanhtn/2001216131-huynhthanhtan-3400-3499", "kernel_id": "58018949"}, {"ref": "vnguynduylnh/2001202131-vonguyenduylinh-24-05-2024", "kernel_id": "58018799"}, {"ref": "tcngtrng/tucongtruong-2001202288-4-06-2024", "kernel_id": "58341272"}, {"ref": "gtun304/2001200359-phamtrangiatuan-300-399-28-05-2024", "kernel_id": "58338611"}, {"ref": "nam23102002/2001207281-nguyenhoangnam-28-5-2024-800-899", "kernel_id": "58341192"}, {"ref": "caoducdat1/2001207078-caoducdat-25-5-2024", "kernel_id": "58091109"}, {"ref": "zeynepbaydemir/cnn-digit-recognizer", "kernel_id": "58652961"}, {"ref": "librautoo/cnns-with-tensorflow", "kernel_id": "58012087"}, {"ref": "priyanshurana724/digit-recognizer-from-scratch-no-tenserflow", "kernel_id": "58493642"}, {"ref": "siddhartha5356/pca-demo", "kernel_id": "58559153"}, {"ref": "zeyadawdallah/neural-network-for-minst-with-only-numpy", "kernel_id": "58823577"}, {"ref": "nguyen2510/cnn-mnist-handwrite-number", "kernel_id": "58443568"}, {"ref": "mycoaldough/notebook0601879500", "kernel_id": "58495677"}, {"ref": "egorandreasyan/digit-recognizer-ml-dl", "kernel_id": "58346384"}, {"ref": "sathishgsmss/hand-written-digit-recognizer-using-cnn", "kernel_id": "58554258"}, {"ref": "ashutosh598/pca-practice", "kernel_id": "58603585"}, {"ref": "tacticularcancer/digit-recognizer", "kernel_id": "58508593"}, {"ref": "mohamedtarek111/mnist-classification-using-cnn-with-99-2-acc", "kernel_id": "58042328"}, {"ref": "mukund604/digit-recognition-cnn", "kernel_id": "58772491"}, {"ref": "ayushsingh7863/mnist-dataset-using-fc-neural-network", "kernel_id": "58984866"}, {"ref": "tranchikhanh/2001210862-tranchikhanh-cnn", "kernel_id": "58027549"}, {"ref": "fuknguyn/2001216053-nguyenthanhphuc-15-05-2024-1800-1899fn", "kernel_id": "58405878"}, {"ref": "nguynhul/2001215949-nguyenhuuly-500-599-26-4-2024-cnn2", "kernel_id": "58021766"}, {"ref": "phatnee/2001210216-nguyenthaotram-24-5", "kernel_id": "58026789"}, {"ref": "hfhf4464/2001210585-lephuochien-11-06-2024", "kernel_id": "58018387"}, {"ref": "furkanblt35/mnist-with-pytorch", "kernel_id": "58129548"}, {"ref": "nguyenthanhnhatanh/2033210412-nguyenthanhnhatanh-1600-1699-xla2", "kernel_id": "58405071"}, {"ref": "krishnams0ni/digit-recognizer-with-pytorch-mlp-fnn", "kernel_id": "58438015"}, {"ref": "fantomwin5/classification-of-numbers-pytorch-mnist-resnet", "kernel_id": "58668323"}, {"ref": "buixuanloc/2001215927-buixuanloc-25-05-2024", "kernel_id": "58091089"}, {"ref": "adityakharbanda25/lenet-5-mnist-classification", "kernel_id": "58181337"}, {"ref": "dakshdadeech/digit-recognizer", "kernel_id": "58109908"}, {"ref": "brahimy/digit-recognizer", "kernel_id": "58839197"}, {"ref": "nguynngcminhpht/2001216024-nguyenngocminhphat-700-799-ver2", "kernel_id": "58406086"}, {"ref": "ethereal111/mnist-digit-recognizer-with-ann", "kernel_id": "58082058"}, {"ref": "hwbw1202/2001215823-nguyenquocgiahuy-07-06-2024", "kernel_id": "58018604"}, {"ref": "monish38/using-only-numpy-with-91-3-accuracy", "kernel_id": "58093815"}, {"ref": "bogdanoprisiu/improved-model", "kernel_id": "58499061"}, {"ref": "bogdanoprisiu/baseline-model", "kernel_id": "58496693"}, {"ref": "antoniakocsis/baseline-model", "kernel_id": "58107217"}, {"ref": "antoniakocsis/digit-recognizer", "kernel_id": "58470679"}, {"ref": "mircearautoiu/notebook50070a15d0", "kernel_id": "58280624"}, {"ref": "cristiantoader/notebookf003967397", "kernel_id": "58528722"}, {"ref": "cristipampu/improved-model", "kernel_id": "58489594"}, {"ref": "cristipampu/baseline-model", "kernel_id": "58481852"}, {"ref": "dopdavidmihai/notebook9c84590f68", "kernel_id": "58383197"}, {"ref": "trangmtran1/cnn-2001210678-tranminhtrang-24-5", "kernel_id": "58019437"}, {"ref": "vladendroiu/notebooka0fa771169", "kernel_id": "58311514"}, {"ref": "phuongnhuphat/2001216029-phuongnhuphat-25-5-2024-3300-3399", "kernel_id": "58094365"}, {"ref": "phuongnhuphat/2001216029-phuongnhuphat-8-6-2024-1700-1799-xla2", "kernel_id": "58018649"}, {"ref": "maximchanturiay/assignment-02", "kernel_id": "58104657"}, {"ref": "pitosk/2001216146-nguyenlebathanh-3200-3299-p2", "kernel_id": "58408303"}, {"ref": "qungthianh/xulyanh2-thaianhquang-2001210241", "kernel_id": "58018713"}, {"ref": "trongnhan02/xulyanh2-2001200022-nguyentrongnhan-1400-1499", "kernel_id": "58019495"}, {"ref": "hunhquangtrng/2001190901-huynhquangtruong-24-05-xulyanh2", "kernel_id": "58018586"}, {"ref": "nguyenvian0529/2001210529-nguyenvian-24-05-20024", "kernel_id": "58018515"}, {"ref": "nguyenvian0529/2001210529-nguyenvian-24-05-2024", "kernel_id": "58055275"}, {"ref": "quocthinh2003/2001210621-nguyenquocthinh-xulyanh", "kernel_id": "58018555"}, {"ref": "quocthai2003/nguyenquocthai-2001216138-24-5", "kernel_id": "58018444"}, {"ref": "nguyenthehien/2001215767-nguyenthehien-cnn-24-05-2024-4900-4999", "kernel_id": "58027892"}, {"ref": "b2001216317hophivinh/2001216317-hophivinh-cuoiky2-0", "kernel_id": "58028040"}, {"ref": "dangvanphong/2001210470-dangvanphong-7-6", "kernel_id": "58028016"}, {"ref": "hihi23/2001210345-nguyentanphat-24-05-2024", "kernel_id": "58027724"}, {"ref": "kunjjasoria/notebook9e6fc92169", "kernel_id": "58497886"}, {"ref": "dakfat311/2001216017-ledacphat-3600-3699-xulyanh2", "kernel_id": "58333436"}, {"ref": "nguynquytchin/2001215636-nguyenquyetchien", "kernel_id": "58858750"}, {"ref": "phandhoiminh/2001202157-phanduhoaiminh-28-05-2024", "kernel_id": "58338948"}, {"ref": "phandhoiminh/2001202157-phanduhoaiminh-28-05-2024-1500-1599", "kernel_id": "58343921"}, {"ref": "ngominhvuongg/2001207306-ngominhvuong-28-05-2024", "kernel_id": "58339124"}, {"ref": "baotran2713/2001215623-trangiabao-28-05-2024-3100-3199", "kernel_id": "58332661"}, {"ref": "trngnguynhongl/2001200297-truongnguyenhoangle-28-05-2024", "kernel_id": "58335891"}, {"ref": "vhonglong2001215926/2001215926-vuhoanglong-2400-2499", "kernel_id": "58858631"}, {"ref": "inhththumy/2001207164-dinhthithumy", "kernel_id": "58338396"}, {"ref": "maivnhng/2001200034-maivanhung-04-06-2900-2999-tk", "kernel_id": "58340105"}, {"ref": "luinhkhoa/2001215877-luudinhkhoa-21-5-2024", "kernel_id": "58337331"}, {"ref": "nguynngkhoa2/2001210844-nguyendangkhoa1-11-06-2024-0-99", "kernel_id": "58862162"}, {"ref": "thanhtran403/2001216143-tranthaithanh-28-05-2024", "kernel_id": "58857840"}, {"ref": "lhoiphong/2001216035-lehoaiphong-28-05-2024", "kernel_id": "58343300"}, {"ref": "caophu/xulyanh2-caoquocphu-2001207023", "kernel_id": "58332839"}, {"ref": "nguynbonhn/xulyanh2-nguyenbaonhan-2001200817-thaychamroi", "kernel_id": "58341458"}, {"ref": "vomanhphi/2001216034-vomanhphi-04-06-2024", "kernel_id": "58334526"}, {"ref": "tranthanhtam2104/2001190248-tranthanhtam-1800-1899-28-04-2024", "kernel_id": "58340565"}, {"ref": "hunhthailetung/2001202295-huynhthailetung-28-05-2024", "kernel_id": "58340091"}, {"ref": "thanhhungvo/2001210677-vothanhhung-28-05-2024-2000-2099", "kernel_id": "58860585"}, {"ref": "tulord/2001216274-nguyenthanhtu-28-05", "kernel_id": "58336416"}, {"ref": "cattuongnguyen03/2001216298-nguyencattuong-28-05-2024-700-799", "kernel_id": "58102766"}, {"ref": "roronoazoro2508/2001215715-trantiendat-28-05-2024-200-299", "kernel_id": "58406432"}, {"ref": "huyviet274/2001215825-nguyenviethuy-xla2", "kernel_id": "58404744"}, {"ref": "trngcnh/2001200696-truongcanhtruong-xulyanh2-29-5", "kernel_id": "58404666"}, {"ref": "trntun3anh/2001215602-tuananh-29-05-2024", "kernel_id": "58405012"}, {"ref": "trntun3anh/2001215602-ttanh-05-06-24", "kernel_id": "58961127"}, {"ref": "nhutnam1/2001210609-xulyanh2-update", "kernel_id": "58405098"}, {"ref": "yoruuwu/2001210732-nguyenductungbach-24-05-2024", "kernel_id": "58020805"}, {"ref": "lvnt2001210124/2001210124-levantu-1500-1599-xla2", "kernel_id": "58091204"}, {"ref": "lvnquan/2001200692-levanquan-1000-1099", "kernel_id": "58091216"}, {"ref": "lehoainamsss/lehoainam-buoi4-xla-3000-3099", "kernel_id": "58645169"}, {"ref": "masfandraza/convolutional-neural-network-cnn-tutorial", "kernel_id": "58448467"}, {"ref": "huynhthanhnhasss/2001210125-huynhthanhnha-xla-buoi3-600-699", "kernel_id": "58091102"}, {"ref": "anhqunl/2001216075-leanhquan-2300-2399-25-05", "kernel_id": "58629658"}, {"ref": "trngphanthanh/2001180172-phanthanhtrong-400-499-4-5-ver3", "kernel_id": "58638651"}, {"ref": "trngphanthanh/2001180172-phanthanhtrong-400-499-4-5-ver2", "kernel_id": "58095149"}, {"ref": "vominhquoc/2001210820-vominhquoc-2400-2499", "kernel_id": "58091157"}, {"ref": "trngphchnglc/2001180914-h-ng-l-c-xulyanh2-3600-3699", "kernel_id": "58091112"}, {"ref": "lamnhattruongbui/2001190900-builamnhattruong-1400-1499-0405-2024", "kernel_id": "58632877"}, {"ref": "xuannphuoc/2001216058-banhxuanphuoc-25-5-2024-2100-2199-xlab4", "kernel_id": "58638319"}, {"ref": "xuannphuoc/2001216058-banhxuanphuoc-25-5-2024-2100-2199-xla2", "kernel_id": "58103489"}, {"ref": "ngckiu/2001215898-lathingockieu-01-06-24-800-899", "kernel_id": "58633823"}, {"ref": "phmdonnguyntng/2001181406-phamdoannguyentung-xla2-buoi5-300-399", "kernel_id": "58093218"}, {"ref": "vuduykhng/xulyanh2", "kernel_id": "58091408"}, {"ref": "nguyendthong/2001190273-nguyendatthong-final-0-99", "kernel_id": "58091252"}, {"ref": "lechikhanh/2001210797-lechikhanh-1900-1999-xla2", "kernel_id": "58630121"}, {"ref": "phmnhhng/2001215803-phamdinhhung-2800-2899-25-5", "kernel_id": "58091569"}, {"ref": "tranthengocmai/2005217964-tranthengocmai-25-05-3500-3599", "kernel_id": "58091489"}, {"ref": "alaala1212/2001210570-nguyenhaidang-xla2-2900-2999", "kernel_id": "58652782"}, {"ref": "tdanh1902/2001215652-nguyenthanhdanh-6-1-2024-2600-2699", "kernel_id": "58633467"}, {"ref": "tdanh1902/2001215652-nguyenthanhdanh-25-5-2024-2600-2699", "kernel_id": "58091099"}, {"ref": "huynhminhtri22012/2201200019-huynhminhtri-3400-3499-01062024", "kernel_id": "58630354"}, {"ref": "khanghunhminh/2001215848-huynhminhkhang-28-5-2024-600-699", "kernel_id": "58332695"}, {"ref": "lhngnhn/2001215997-lehongnhan-28-05-2024-1000-1099", "kernel_id": "58332748"}, {"ref": "anlthnh/2001207166-lethanhan-28-05-2024-900-999", "kernel_id": "58341790"}, {"ref": "giathuan17/2001207369-huynhgiathuan-xulyanh2", "kernel_id": "58341616"}, {"ref": "giathuan17/2001207369-huynhgiathuan-14-05-2024-new", "kernel_id": "58290461"}, {"ref": "giathuan17/2001207369-huynhgiathuan-xulyanh2-500-599", "kernel_id": "58862194"}, {"ref": "giathuan17/2001207369-huynhgiathuan-28-05-2024-500-599", "kernel_id": "58861431"}, {"ref": "maingckhang/2001207120-maingockhang-28-05-2024-400-499", "kernel_id": "58861923"}, {"ref": "sakshamjr10/digit-recognizer-mnist", "kernel_id": "58368447"}, {"ref": "quinfieeee/2001216094-dinhlethaoquynh-3300-3399-cnn", "kernel_id": "58406738"}, {"ref": "kimquhunhth/2001210787-huynhthikimquy-3500-3599-cnn", "kernel_id": "58405340"}, {"ref": "nguyentrongdinh1803/2001191211-nguyentrongdinh-xulyanh2", "kernel_id": "58404437"}, {"ref": "hecker56/digit-recognizer", "kernel_id": "58408307"}, {"ref": "tringuyn/2001216234-nguyenhoangtri-3500-3599-25-05", "kernel_id": "58115439"}, {"ref": "devjinwoohong/quickstart-digit-recognizer-pytorch-without-eda", "kernel_id": "58908569"}, {"ref": "profsergiorodrigues/cnn-em-reconhecimento-de-d-gitos", "kernel_id": "58904602"}, {"ref": "zzamanrashed/digit-recognizer-with-cnn", "kernel_id": "58431552"}, {"ref": "augustasrinkevicius/mnist-model", "kernel_id": "58644199"}, {"ref": "lambdafx/hwr-model-fromuni", "kernel_id": "58860055"}, {"ref": "yaangliu/mnist-dnn-from-scratch", "kernel_id": "58743808"}, {"ref": "qintel/notebook81bd73fd6b", "kernel_id": "58784503"}, {"ref": "shravankumar147/digit-recognizer-read-as-images", "kernel_id": "59665930"}, {"ref": "shravankumar147/pytorch-lightning-digit-recognizer", "kernel_id": "59669747"}, {"ref": "shravankumar147/digit-recognizer-dino-v2-custom-classifier", "kernel_id": "59673545"}, {"ref": "parijatr/w1-cnns", "kernel_id": "59641099"}, {"ref": "parijatr/w1-cnns-with-pytorch", "kernel_id": "59914637"}, {"ref": "stpeteishii/mnist-cnn-pytorch-with-onnx", "kernel_id": "59893338"}, {"ref": "ganeshdasrla/notebooka635bfb848", "kernel_id": "59582505"}, {"ref": "atifmasih/cnn-for-classification-of-digits-mnist-dataset", "kernel_id": "59557086"}, {"ref": "awojidemargaret/digitrecgonizer", "kernel_id": "59989964"}, {"ref": "besuto/efficientkan-implementation", "kernel_id": "59202846"}, {"ref": "abdalruhmanmohamed/generative-fashion-mnist", "kernel_id": "59066084"}, {"ref": "furioussavenger/neural-network-visualization-mnist", "kernel_id": "59667302"}, {"ref": "jackysywk/pytorch-mnist-resnet-implmentation-using-timm", "kernel_id": "59146646"}, {"ref": "madcontender/mnist-simple-fastai-visionlearner", "kernel_id": "59523639"}, {"ref": "shauryasingh0003/pca-and-data", "kernel_id": "59152737"}, {"ref": "trngmaik/2001190313-maitruong3400-3499-xla3", "kernel_id": "59257298"}, {"ref": "papaji89989/bert-spacy-nltk", "kernel_id": "59185296"}, {"ref": "danbraswell/digit-recognizer-timm-resnet-18-cv-0-9923", "kernel_id": "59516123"}, {"ref": "zyadsowilam/scratch-nuero", "kernel_id": "59050323"}, {"ref": "bedantsharma/making-a-gan-generator", "kernel_id": "59934864"}, {"ref": "chubar/2001207195-ck", "kernel_id": "59723999"}, {"ref": "chubar/2001207195-trankimphung-11-06-2024", "kernel_id": "59502385"}, {"ref": "bnthach/2001216131-huynhthanhtan-3100-3200", "kernel_id": "59655858"}, {"ref": "hunhthanhtn/2001216323-phamdinhthienvu-400-hm", "kernel_id": "59928872"}, {"ref": "hunhthanhtn/2001216131-huynhthanhtan-3400-3499-14-6", "kernel_id": "59925545"}, {"ref": "vnguynduylnh/xulyanh-2001202131-vonguyenduylinh-2800-2899-ck", "kernel_id": "59872162"}, {"ref": "tcngtrng/2001202288-tucongtruong-28-05-2024", "kernel_id": "59510262"}, {"ref": "gtun304/2001200359-phamtrangiatuan-300-399-11-06-2024", "kernel_id": "59502332"}, {"ref": "thimyl/2001200683-lethimyle-12-06-2024", "kernel_id": "59619907"}, {"ref": "phonghoi/phong-2001207319-ck", "kernel_id": "59731030"}, {"ref": "zidnyyasrah/digit-recognizer-for-beginner-cnn-98-9-accuracy", "kernel_id": "59238945"}, {"ref": "ozermehmet/digit-recognizer-with-cnn-tensorflow", "kernel_id": "59281856"}, {"ref": "priyabratabhoumik/final-year-project-2024", "kernel_id": "59435136"}, {"ref": "vishalginni/digit-recognizer-using-keras", "kernel_id": "59516666"}, {"ref": "drbekirsahin/cnn-for-mnist-digit-recognizer-99-accuracy", "kernel_id": "59918750"}, {"ref": "mshaheernadeem/competition-notebook-kerastuner-accuracy-99-8", "kernel_id": "59444567"}, {"ref": "chetanprabhakarsonar/digit-recognition", "kernel_id": "59661405"}, {"ref": "middlehigh/mnist-neuralnet-from-scratch-no-keras-just-numpy", "kernel_id": "59456030"}, {"ref": "workfiles99999/digitrecognition-ab", "kernel_id": "59523300"}, {"ref": "pierrelegall22/tp-3-4-apr", "kernel_id": "59145981"}, {"ref": "akarshannirwan/handwritten-digit-recognizer-using-cnn", "kernel_id": "59341246"}, {"ref": "edwardduong/2001200657-duongtrongbinh-2500-2599-xla3", "kernel_id": "59644098"}, {"ref": "ancol2207/2001200625-nguyenvietthanhcong-2900-2999-final", "kernel_id": "59640655"}, {"ref": "ranjan2215d/principle-component-analysis-pca", "kernel_id": "59791350"}, {"ref": "tranchikhanh/2001210862-tranchikhanh-ket", "kernel_id": "59164709"}, {"ref": "fuknguyn/2001216053-nguyenthanhphuc-12-06-2024-1800-1899fn", "kernel_id": "59639321"}, {"ref": "nguynhul/2001215949-nguyenhuuly-xla3-1700-1799", "kernel_id": "59639409"}, {"ref": "nguynhul/2001215949-nguyenhuuly-500-599-hocmay", "kernel_id": "59797229"}, {"ref": "dainguyen155/2001215687-nguyenvoquocdai-3000-3099", "kernel_id": "59504951"}, {"ref": "dainguyen155/nguyenthanhdanh", "kernel_id": "59881141"}, {"ref": "phatnee/2001210216-nguyenthaotram-xulyanh3", "kernel_id": "59925229"}, {"ref": "hfhf4464/2001210585-lephuochien-07-06-2024", "kernel_id": "59156022"}, {"ref": "phamdinhthienvu/2001216323-phamdinhthienvu-hocmayxla3", "kernel_id": "59532453"}, {"ref": "nguyenthanhnhatanh/2033210412-nguyenthanhnhatanh-xla", "kernel_id": "59641080"}, {"ref": "huniro/2001216078-maclenhuquan-1100-1199-08-06-2024", "kernel_id": "59263395"}, {"ref": "adonis12345/2001215805-dieuthieutranhuy-11-06-2021", "kernel_id": "59502184"}, {"ref": "lethetrung/2001216254-lethetrung-xla3", "kernel_id": "59646546"}, {"ref": "szaminabbas/zamin-1115019-digit-recognizer", "kernel_id": "59170430"}, {"ref": "szaminabbas/zamin-final-computer-vision", "kernel_id": "59522596"}, {"ref": "szaminabbas/zamin-digit-final-report-computer-vision", "kernel_id": "59531324"}, {"ref": "nnjeen/nn-numpy", "kernel_id": "59358446"}, {"ref": "maisamee56/2001202131-vonguyenduylinh-24-05-2024", "kernel_id": "59175864"}, {"ref": "chaitanyajakate42004/pca-mnist", "kernel_id": "59321049"}, {"ref": "nguynngcminhpht/2001216024-nguyenngocminhphat-xla3", "kernel_id": "59639600"}, {"ref": "ethereal111/mnist-digit-recognizer-with-xgboost", "kernel_id": "59935441"}, {"ref": "hwbw1202/mnist-pca-knn", "kernel_id": "59922967"}, {"ref": "viethungtran86/xulyanh3-phamnguyen", "kernel_id": "59249982"}, {"ref": "trangmtran1/xulyanh3-2001210678-tranminhtrang", "kernel_id": "59925212"}, {"ref": "phuongnhuphat/2001216029-phuongnhuphat-7-6-2024-3300-3399-hocmay", "kernel_id": "59146443"}, {"ref": "phuongnhuphat/2001216029-phuongnhuphat-1700-1799-xla2-8-6-2024", "kernel_id": "59246801"}, {"ref": "phuongnhuphat/phuongnhuphat-2001216029-2001216029-xulyanh3", "kernel_id": "59928686"}, {"ref": "phuongnhuphat/14-06-2023-phuongnhuphat-hocmay-2001216029", "kernel_id": "59922976"}, {"ref": "nhd2345/2001215705-nguyenhuudat-xla3", "kernel_id": "59923683"}, {"ref": "qungthianh/xulyanh3-thaianhquang-2001210241", "kernel_id": "59641597"}, {"ref": "phanvantuphap/2001216015-xulyanh3", "kernel_id": "59639809"}, {"ref": "levutien/2001216209-le-vu-tien-xla3", "kernel_id": "59922617"}, {"ref": "trongnhan02/xulyanh3-2001200022-nguyentrongnhan", "kernel_id": "59925549"}, {"ref": "dt2001216212/2001216212-nguyenduytien-14-06", "kernel_id": "59923103"}, {"ref": "dt2001216212/2001216212-nguyenduytien-cnn-xulyanh2", "kernel_id": "59146029"}, {"ref": "quocthinh2003/2001210621-nguyenquocthinh-xla2", "kernel_id": "59929160"}, {"ref": "quocthai2003/xulyanh3-thai", "kernel_id": "59926581"}, {"ref": "nguynthycttng/xulyanh3-2001210098-nguyenthuycattuong-900-999", "kernel_id": "59927190"}, {"ref": "nguynthycttng/xla2-2001210098-nguyenthuycattuong-2400-2499", "kernel_id": "59153604"}, {"ref": "nguynthycttng/xulyanh2-2001210098-nguyenthuycattuong-900-999", "kernel_id": "59179124"}, {"ref": "phanthanhhung/2001215839-phanthanhhung-xulyanh2-1800-1899", "kernel_id": "59147017"}, {"ref": "phanthanhhung/mnist-handwritten-digits-recognition", "kernel_id": "59922156"}, {"ref": "trnthbchhnh/2001215745-tr-n-th-b-ch-h-nh-14-6-2024", "kernel_id": "59923869"}, {"ref": "b2001216317hophivinh/2001216317-hophivinh-cuoiky3-0", "kernel_id": "59924721"}, {"ref": "b2001216317hophivinh/2001216317-hophivinh-cuoiky1-0", "kernel_id": "59896275"}, {"ref": "h2001215697tandat/2001215697-huynhtandat-3100-3199-12-06", "kernel_id": "59609454"}, {"ref": "hthhphng/2001210661-hothihaphuong-xulyanh3", "kernel_id": "59925375"}, {"ref": "hthhphng/2001210661-hothihaphuong", "kernel_id": "59147077"}, {"ref": "hthhphng/2001210661-hothihaphuong-xulyanh2", "kernel_id": "59242842"}, {"ref": "dangvanphong/2001210470-ng-v-n-phong", "kernel_id": "59927785"}, {"ref": "hihi23/2001210345-nguyentanphat-xla3", "kernel_id": "59925271"}, {"ref": "tvnhtrung/2001216258-tovinhtrung-buoi5", "kernel_id": "59145499"}, {"ref": "phandhoiminh/2001202157-phanduhoaiminh-ck", "kernel_id": "59503480"}, {"ref": "phandhoiminh/2001202157-phanduhoaiminh-04-06-2024", "kernel_id": "59358494"}, {"ref": "baotran2713/2001215623-trangiabao-11-06-2024-3100-3199", "kernel_id": "59502224"}, {"ref": "trngnguynhongl/2001200297-truongnguyenhoangle-11-06-2024", "kernel_id": "59502520"}, {"ref": "inhththumy/dinhthithumy-2001207164", "kernel_id": "59502749"}, {"ref": "thanhtran403/2001216143-tranthaithanh-11-06-2024", "kernel_id": "59502320"}, {"ref": "nguynbonhn/xulyanh3-nguyenbaonhan", "kernel_id": "59502574"}, {"ref": "vomanhphi/2001216034-vomanhphi-11-06-2024", "kernel_id": "59502673"}, {"ref": "tranthanhtam2104/2001190248-tranthanhtam-11-06-2024", "kernel_id": "59503629"}, {"ref": "hunhthailetung/2001202295-huynhthailetung-11-06-2024", "kernel_id": "59503169"}, {"ref": "hunhthailetung/2001202295-huynhthailetung-28-05-2024-1300-1399", "kernel_id": "59392799"}, {"ref": "thanhhungvo/2001210677-vothanhhung-11-06-2024", "kernel_id": "59505492"}, {"ref": "tulord/nguyenthanhtu-2001216274", "kernel_id": "59502988"}, {"ref": "cattuongnguyen03/2001216298-nguyencattuong-11-6-2024-700-799", "kernel_id": "59502912"}, {"ref": "roronoazoro2508/2001215715-trantiendat-11-06-2024-200-299", "kernel_id": "59502085"}, {"ref": "nhantrong1203/2001210774-xulyanh3-nguyentrongnhan-ck", "kernel_id": "59641629"}, {"ref": "huyviet274/2001215825-nguyenviethuy-200-299-xla3", "kernel_id": "59640031"}, {"ref": "ngocyen10/2001210914-lethingocyen-800-899", "kernel_id": "59640928"}, {"ref": "tuytnguyenthianh/2001210973-nguyenthianhtuyet-1300-1399-12-06", "kernel_id": "59639728"}, {"ref": "trntun3anh/2001215602-trantuananh-xla3", "kernel_id": "59640841"}, {"ref": "trntun3anh/2001215602-trantuananh-check", "kernel_id": "59602080"}, {"ref": "nhutnam1/2001210609-xulyanh3", "kernel_id": "59639583"}, {"ref": "ttrinhnguyen12/2001210814-nguyenthitotrinh-1500-1599-12-6-2024-x3", "kernel_id": "59639319"}, {"ref": "levanngocnghia/2001200626-levanngocnghia-3000-3099", "kernel_id": "59640180"}, {"ref": "trungnhann/2033210409-trantrungnhan-1900-1999-xylyanh3", "kernel_id": "59642063"}, {"ref": "phmvntrungnam/2001210155", "kernel_id": "59158893"}, {"ref": "bixunlc/2001215927-machine-learning-final", "kernel_id": "59913274"}, {"ref": "bixunlc/image-processing-v2", "kernel_id": "59950238"}, {"ref": "bixunlc/2001215927-buixuanloc-image-processing", "kernel_id": "59948329"}, {"ref": "lvnt2001210124/2001210124-levantu-1500-1599-xla3", "kernel_id": "59251047"}, {"ref": "anhqunl/2001216075-leanhquan-xla-2300-2399", "kernel_id": "59258242"}, {"ref": "anhqunl/2001216075-leanhquan-xla3-2300-2399", "kernel_id": "59259085"}, {"ref": "anhqunl/2001216075-leanhquan-xla03-2300-2399", "kernel_id": "59263854"}, {"ref": "trivinh/xulyanh3-2001210331-lamtrivinh-2600-2699", "kernel_id": "59251049"}, {"ref": "trngphanthanh/2001180172-phanthanhtrong-400-499-4-5-ver4", "kernel_id": "59252393"}, {"ref": "huytoan/2001216222-nguyenhuytoan-3200-3299-xla3", "kernel_id": "59252454"}, {"ref": "dangphuc357/2001216047-danghuuphuc-2000-2099-4-5-xla3", "kernel_id": "59252392"}, {"ref": "xuannphuoc/xulyanh2-2001216058-banhxuanphuoc-2100-2199", "kernel_id": "59260968"}, {"ref": "ngckiu/2001215898-lathingockieu-08-06-24-800-899", "kernel_id": "59412497"}, {"ref": "ngckiu/2001215898-lathingockieu-14-06-24", "kernel_id": "59741938"}, {"ref": "ngckiu/2001215898-lathingockieu-800-899", "kernel_id": "59957147"}, {"ref": "lechikhanh/2001210797-lechikhanh-98-xla2", "kernel_id": "59252785"}, {"ref": "phmnhhng/2001215803-phamdinhhung-2800-2899-8-6", "kernel_id": "59252572"}, {"ref": "tranthengocmai/2005217964-tranthengocmai-08-06-3500-3599", "kernel_id": "59254274"}, {"ref": "alaala1212/2001210570-nguyenhaidang-xla3-2900-2999", "kernel_id": "59259850"}, {"ref": "tdanh1902/2001215652-nguyenthanhdanh-13-6-2024-2600-2699", "kernel_id": "59882158"}, {"ref": "minhqunchu/2001206948-chauminhquan-xl3", "kernel_id": "59844362"}, {"ref": "vishalyginny/digit-recognizer", "kernel_id": "59150670"}, {"ref": "khanghunhminh/2001215848-hu-nhminhkhang-06-11-2024-600-699", "kernel_id": "59502258"}, {"ref": "lhngnhn/2001215997-lehongnhan-11-6-2024-1000-1099", "kernel_id": "59503080"}, {"ref": "anlthnh/2001207166-lethanhan-900-999", "kernel_id": "59503104"}, {"ref": "giathuan17/2001207369-huynhgiathuan-xl3", "kernel_id": "59507126"}, {"ref": "maingckhang/2001207120-maingockhang-11-06-2024", "kernel_id": "59508679"}, {"ref": "maingckhang/2001207120-maingockhang-28-05-2024-400-499-xl3", "kernel_id": "59512356"}, {"ref": "profilelocated/2001210019-leminhtrieu-xla3-3100-3199", "kernel_id": "59640903"}, {"ref": "nguyentrongdinh1803/nguyentrongdinh-2001191211-xulyanh3", "kernel_id": "59640240"}, {"ref": "tringuyn/2001216234-nguyenhoangtri-3500-3599-15-06", "kernel_id": "59430833"}, {"ref": "wasim1122/wasim-2024", "kernel_id": "59463478"}, {"ref": "umaimabashir/umaima-1125025", "kernel_id": "59532392"}, {"ref": "umaimabashir/umaima-computer-vision-final", "kernel_id": "59555033"}, {"ref": "heroice/digit-recognizer", "kernel_id": "59345648"}, {"ref": "phcxuann/banhxuanphuoc-buoi4-xla-2100-2199", "kernel_id": "59464426"}, {"ref": "quamon/phong-2001207319-ckv2", "kernel_id": "59731666"}, {"ref": "cashfeg/svm-for-digit-recognizer", "kernel_id": "60198228"}, {"ref": "shravankumar147/dino-v2-to-clustering-image", "kernel_id": "60472463"}, {"ref": "shravankumar147/multi-gpu-utilization-dinov2-cluster-analysis", "kernel_id": "60492781"}, {"ref": "voltvipin/neural-network-97-8", "kernel_id": "60551033"}, {"ref": "sauron03/trabalho-machine-learning-caso-bin-rio", "kernel_id": "60917576"}, {"ref": "abdelrhmanashraf/hand-written-digits", "kernel_id": "60515859"}, {"ref": "wouldyoujustfocus/llama3-8b-llm20-questions-lb-750", "kernel_id": "60990185"}, {"ref": "gzakharov/digitrecognizer-ivan-george", "kernel_id": "60994194"}, {"ref": "atharva001/mnist-1", "kernel_id": "60857094"}, {"ref": "gmquangducnguyen/digitrecog", "kernel_id": "60069959"}, {"ref": "vinezz/multilayer-perceptron-with-conv2d", "kernel_id": "60897915"}, {"ref": "chinmoydutta/handwritten-digit-recognition-using-cnn-keras", "kernel_id": "60106123"}, {"ref": "rajeshkgl/project-digit-recognition", "kernel_id": "60357797"}, {"ref": "mguvenc/mnist-turkce-aciklamali-derin-ogrenmeye-giris-2", "kernel_id": "60851568"}, {"ref": "bhaveshg20/convolutional-kan-for-mnist", "kernel_id": "60597952"}, {"ref": "maksimspiridonov/mnist-with-pytorch", "kernel_id": "60649987"}, {"ref": "sarveshkhandelwal10/mnist-handwritten-digits", "kernel_id": "60002745"}, {"ref": "hetpatel01/digit-recognizer-using-ann", "kernel_id": "60930286"}, {"ref": "umerrtx/neural-network-98-3-acc", "kernel_id": "60747494"}, {"ref": "yosefibrahim/clip-for-diffusion", "kernel_id": "60430317"}, {"ref": "robbylew/my-first-kaggle-notebook-simple-cnn-for-mnist-dig", "kernel_id": "60282995"}, {"ref": "shadesh/pytorch-instead-of-tensorflow-keras", "kernel_id": "60404973"}, {"ref": "shadesh/convolutional-neural-network-cnn-for-the-digit-r", "kernel_id": "60404210"}, {"ref": "anhphongdo/2001200675-hoanganhphong-3100-3199-xla3", "kernel_id": "60058489"}, {"ref": "finodawn/test1", "kernel_id": "60482518"}, {"ref": "caokhoihuynh/mnist", "kernel_id": "60406089"}, {"ref": "shaludeen/mnist-handwritten-digit-classification", "kernel_id": "60190000"}, {"ref": "arifabsar/digit-recognizer-using-cnn-mnist-dataset", "kernel_id": "60648839"}, {"ref": "eduardotvn/digitscanner", "kernel_id": "60621537"}, {"ref": "himanshubarange/digit-recognition-cnn", "kernel_id": "60990249"}, {"ref": "lvangge/cnn-on-minst", "kernel_id": "60557319"}, {"ref": "sojibbhattacharjee/digit-classifier", "kernel_id": "60310376"}, {"ref": "shivammishra010ece24/digit-reader", "kernel_id": "60663476"}, {"ref": "vladislavzamuruev/digit-recognizer-submission", "kernel_id": "60500923"}, {"ref": "praveen2207/neural-network", "kernel_id": "60840769"}, {"ref": "sujalsingla/pca-demo-1", "kernel_id": "60569892"}, {"ref": "antobenedetti/digit-recognizer", "kernel_id": "60267696"}, {"ref": "yardnh/cnn-0-94278", "kernel_id": "60256747"}, {"ref": "varutriparihar/pca-demo", "kernel_id": "60235619"}, {"ref": "cartoonistbeard/digitrecognizerlenet", "kernel_id": "60568742"}, {"ref": "dmitrievdmitriy/notebook0f5c687669", "kernel_id": "60058939"}, {"ref": "rahul703350/pca-m", "kernel_id": "60571854"}, {"ref": "iamalredygod/cnn-model-0-98485", "kernel_id": "60078641"}, {"ref": "abdulazizmuhammed98/mnist-digit-recognizer", "kernel_id": "60001269"}, {"ref": "hthhphng/2001210661-hothihaphuong-xla3", "kernel_id": "60058461"}, {"ref": "raynaldowinson/digit-recognizer-simple-pytorch-solution", "kernel_id": "60745440"}, {"ref": "ngckiu/2001215898-lathingockieu-15-06", "kernel_id": "60058411"}, {"ref": "monicadrechsler/trabalho-machine-learning-caso-bin-rio", "kernel_id": "60753137"}, {"ref": "monicadrechsler/trabalho-machine-learning-caso-decimal", "kernel_id": "60761748"}, {"ref": "phcxuann/xulyanh3-2001216058-banhxuanphuoc-2100-2199", "kernel_id": "60058367"}, {"ref": "yevhendb/lab-2", "kernel_id": "60262161"}, {"ref": "mateuszgolebiewski/mnist-competition", "kernel_id": "60815939"}, {"ref": "mwrites/top-6-fastai-blueprint-for-any-vision-classif", "kernel_id": "60978042"}, {"ref": "fcostartistican/comparing-models-in-keras", "kernel_id": "61385765"}, {"ref": "bonyiii/trial-digit-recognizer-with-keras", "kernel_id": "61763191"}, {"ref": "indians37/digit-recognizer-pytorch-dense-network", "kernel_id": "61374810"}, {"ref": "shuthdar/lenet-based-network-with-keras-tf", "kernel_id": "61598584"}, {"ref": "benbenwang/pytorch-dataset-and-dataloader", "kernel_id": "61805052"}, {"ref": "stpeteishii/random-forest-minist-image-with-pca", "kernel_id": "61533001"}, {"ref": "stpeteishii/random-forest-minist-with-pca-reduced-dimensions", "kernel_id": "61493663"}, {"ref": "akitsuyoshi/notebook80e58dcbf0", "kernel_id": "61422711"}, {"ref": "mashallandme/digit-recognizer-using-tensorflow", "kernel_id": "61856546"}, {"ref": "crevious/notebook4bed0c7872", "kernel_id": "61786288"}, {"ref": "crevious/notebook255d753367", "kernel_id": "61931448"}, {"ref": "alexsandroj/transfer-learning-and-fine-tuning-tensorflow-core", "kernel_id": "61222628"}, {"ref": "jatinag/cnn-with-dropout-and-data-augmentation", "kernel_id": "61555698"}, {"ref": "mustafacivici/mnist-w-kaggle-and-keras-dataset-cnn", "kernel_id": "61884175"}, {"ref": "muskan9698/generating-handwritten-digits-using-gan", "kernel_id": "61543182"}, {"ref": "tahmidulkashfi/first-time-cnn", "kernel_id": "61711276"}, {"ref": "arnav0103/2-hidden-layer-try-digit", "kernel_id": "61545386"}, {"ref": "luqmanzaceria/mnist-0-975-simple-digit-recognizer-nn", "kernel_id": "61797186"}, {"ref": "kovanh/digit-recogniser", "kernel_id": "61317216"}, {"ref": "ankandebnath/digit-recognizer", "kernel_id": "61383459"}, {"ref": "syedmuhammadjafar/mnist-dataset-100-accuracy", "kernel_id": "61124065"}, {"ref": "nassimlouissi/using-only-numpy-math-boosted-version", "kernel_id": "61838170"}, {"ref": "ragulsurya/mnist-digit-recognizer", "kernel_id": "61556762"}, {"ref": "mahazainab28/digit-recognizer", "kernel_id": "61221818"}, {"ref": "kubilaykucuk/nn-using-only-numpy", "kernel_id": "61812667"}, {"ref": "chogerlate/digit-recognition-cnn-pytorch", "kernel_id": "61122304"}, {"ref": "tariveadhikari/nn-from-scratch", "kernel_id": "61065067"}, {"ref": "almaktashi/digit-recognizer-using-cnn", "kernel_id": "61794682"}, {"ref": "sohamndeshmukh/digit-recognition-using-cnns", "kernel_id": "61420707"}, {"ref": "sohamndeshmukh/digit-recognizer-using-svms", "kernel_id": "61895374"}, {"ref": "evelynartoria/digit-recognizer-tinyvgg-pytorch", "kernel_id": "61557847"}, {"ref": "evelynartoria/digit-recognizer-with-flat-model", "kernel_id": "61513889"}, {"ref": "masinasaisatish/cnn-with-accuracy-99-307", "kernel_id": "61673066"}, {"ref": "furkanbt/digit-recognizer", "kernel_id": "61310284"}, {"ref": "shaiksalman28/mnist-knn", "kernel_id": "61075431"}, {"ref": "sheryshisingh/pca-demo", "kernel_id": "61234691"}, {"ref": "davidtan123/digit-recognizer-cnn-score-0-99325", "kernel_id": "61690668"}, {"ref": "musattudortudi/dl-adam-relu", "kernel_id": "61666649"}, {"ref": "yuvalmehta/digit-recognizer", "kernel_id": "61664320"}, {"ref": "sabrinaphan/ex-buoi-2-kannada-mnist", "kernel_id": "61766343"}, {"ref": "nameless143/digitrecog1", "kernel_id": "61419241"}, {"ref": "shubhranshu331/handwritten-digit-recognition-model", "kernel_id": "61816038"}, {"ref": "achrefboudhina/digit-recognizer", "kernel_id": "61053052"}, {"ref": "nagesh90899/mnist-digit-recognition", "kernel_id": "61766101"}, {"ref": "nisha272004gmailcom/digit-recognizer", "kernel_id": "61468602"}, {"ref": "khachuy/neural-network-from-scratch", "kernel_id": "61228271"}, {"ref": "syuz00/digit-cnn", "kernel_id": "61527002"}, {"ref": "syuz00/cnn-stratifiedkfold", "kernel_id": "61580327"}, {"ref": "saurabhkumargupta23/pca-demo", "kernel_id": "61461176"}, {"ref": "arjupaudel/image-classification-pca-mnist", "kernel_id": "61029663"}, {"ref": "muhammadfurqan0/pytorch-101-mastering-mnist-digit-recognition", "kernel_id": "61851628"}, {"ref": "satyajeetrai/digitrecognizer-simplest-model-96-2-accuracy", "kernel_id": "61653292"}, {"ref": "albankiz/digit-recognizer", "kernel_id": "61677786"}, {"ref": "viditgandhi/hand-written-digit-recognizer", "kernel_id": "61033702"}, {"ref": "ddddddeon/digit-recognizer", "kernel_id": "61920357"}, {"ref": "syugesh/mnist-digit-prediction", "kernel_id": "61352087"}, {"ref": "monish38/cnn-algorithm-using-tensorflow-93-28-accuracy", "kernel_id": "61117466"}, {"ref": "pouyashaterzadeh/neural-networks-for-handwritten-digit-recognition", "kernel_id": "61706327"}, {"ref": "creatorlogs/digital-recogniser-tensorflow-cnn", "kernel_id": "61357390"}, {"ref": "hafizkhanil/digit-recognizer-competition", "kernel_id": "61282332"}, {"ref": "abhi124421/pca-demo", "kernel_id": "61406812"}, {"ref": "sarohy/notebookd64f655b8a", "kernel_id": "61496527"}, {"ref": "irfanqs/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "61164268"}, {"ref": "howidaabdelhalim/digit-recognizer-submission", "kernel_id": "61916183"}, {"ref": "naveennas/hand-written-digit-recognizer", "kernel_id": "61696074"}, {"ref": "santhankarnala/digit-rec-cnn", "kernel_id": "61028361"}, {"ref": "raj2026/mnist-dataset", "kernel_id": "61757632"}, {"ref": "olehdiakov/digit-recognizer", "kernel_id": "61535181"}, {"ref": "monicadrechsler/trabalho-de-ml-caso-decimal-com-ru-do", "kernel_id": "61337407"}, {"ref": "monicadrechsler/trabalho-ml-caso-bin-rio-com-ru-do", "kernel_id": "61353028"}, {"ref": "animeshsh/convolutional-neural-network-cnn-tutorial", "kernel_id": "61324042"}, {"ref": "asadullahfaisal/task2-raid-dsslm", "kernel_id": "61882281"}, {"ref": "hrithikpatel/digit-identifier-28x28", "kernel_id": "61121574"}, {"ref": "vedkulkarni17/digit-rec-cnn", "kernel_id": "61534082"}, {"ref": "mwrites/your-first-neural-net-in-pytorch-94-accuracy", "kernel_id": "61501593"}, {"ref": "ahmedgaitani/digit-recognizer-code-dl-tf-vs-pt-99", "kernel_id": "61076288"}, {"ref": "ahmedgaitani/digit-recognizer-code-ml", "kernel_id": "61075212"}, {"ref": "evantakahashi/model-to-detect-numbers-neural-network", "kernel_id": "61320491"}, {"ref": "soumyasnigdhakundu/end-to-end-jax-mnist-classification", "kernel_id": "61976111"}, {"ref": "indians37/hebbnet-solution-for-mnist", "kernel_id": "62217119"}, {"ref": "sashankm/mnist-simple-cnn-keras-accuracy-0-99-top-1", "kernel_id": "62328641"}, {"ref": "stpeteishii/japanese-character-cnn-pytorch", "kernel_id": "62634293"}, {"ref": "stpeteishii/japanese-character-random-forest-with-pca", "kernel_id": "62635226"}, {"ref": "stpeteishii/fashion-mnist-csv-data-to-png", "kernel_id": "62737753"}, {"ref": "e0337884/evan-mnist-notebook", "kernel_id": "62368341"}, {"ref": "yitaoyu/mnist-homeworks", "kernel_id": "62623288"}, {"ref": "debasishbal/rnn-digit-recognition", "kernel_id": "62953799"}, {"ref": "ubaidabbas/digit-recognizer-using-torch", "kernel_id": "62294999"}, {"ref": "promminvutivivatchai/digit-recog-pv", "kernel_id": "62879303"}, {"ref": "satyammishra0/96-6-accuracy-fastai-simple-implementation", "kernel_id": "62138041"}, {"ref": "mariusborel/cnn-on-mnist", "kernel_id": "62625110"}, {"ref": "danielbozbay/building-a-neural-network-from-scratch-numpy", "kernel_id": "62450593"}, {"ref": "ahmedmsaber/digit-recognizer-using-cnn-val-accuracy-99", "kernel_id": "62078460"}, {"ref": "cs21b2033arpitsingh/digit-recognizer-notebook", "kernel_id": "62532432"}, {"ref": "mariuszuchwat/lenet5-in-pytorch", "kernel_id": "62579164"}, {"ref": "abdelazizsami/kaggle-mnist-digit-recognizer", "kernel_id": "62266324"}, {"ref": "vsevolodrakita/pca-and-robust-pca-theory-and-examples", "kernel_id": "62742045"}, {"ref": "syednazmussakib/alexnet-pytorch-digit-recognizer-99-acc", "kernel_id": "62353115"}, {"ref": "syednazmussakib/digit-recognizer-cnn-pytorch", "kernel_id": "62351284"}, {"ref": "syednazmussakib/digit-recognizer-simple-svm", "kernel_id": "62350500"}, {"ref": "syednazmussakib/cnn-with-pytorch-99-43-accuracy", "kernel_id": "62354842"}, {"ref": "tejasvisjain1407/digit-recognizer-cnn", "kernel_id": "62411751"}, {"ref": "aezersx/digit-recognizer-using-only-numpy", "kernel_id": "62259854"}, {"ref": "evelynartoria/vision-tranformer-patch-embedding-pytorch", "kernel_id": "62242912"}, {"ref": "evelynartoria/solving-mnist-with-vit-from-scratch-pytorch", "kernel_id": "62279228"}, {"ref": "marwaneelmajdoub/mnist-dataset-project", "kernel_id": "62613993"}, {"ref": "skipperad/cnn-model", "kernel_id": "62741085"}, {"ref": "arnavmishra6996/neural-network-model-0-93-accuracy", "kernel_id": "62436061"}, {"ref": "mohamedmaher5/digit-recognizer-cnn", "kernel_id": "62718455"}, {"ref": "asmitkumar12/digitrecog", "kernel_id": "62513727"}, {"ref": "gannayasser/cnns-in-the-spotlight-digit-recognizer", "kernel_id": "62373519"}, {"ref": "meetsolanki530/decision-tree-on-digit-recognizer-dataset", "kernel_id": "62592725"}, {"ref": "rajeshkumarjena123/notebook7af716c250", "kernel_id": "62302472"}, {"ref": "blazingphoenix12345/hybrid-qcnn-cnn-implementation-99-16-accuracy", "kernel_id": "62311218"}, {"ref": "blazingphoenix12345/lenet-model-with-97-accuracy-in-detail", "kernel_id": "62140722"}, {"ref": "abderrahimelmouden/submission-digit-rec", "kernel_id": "62395923"}, {"ref": "thiagoteixeiraa/mlp-simples-com-keras-para-iniciantes", "kernel_id": "62779240"}, {"ref": "begumarici/digit-recognition-with-cnn", "kernel_id": "62813583"}, {"ref": "jawadali1231/pca-code", "kernel_id": "62795686"}, {"ref": "hasnainkhan0123/feature-engineering-digit-recognizetion", "kernel_id": "62890872"}, {"ref": "sahilraj3733/digit-recognizer", "kernel_id": "62929703"}, {"ref": "masharjavid/convolutional-neural-nets-cnns-explained", "kernel_id": "62530762"}, {"ref": "gatabhjsbaj/pca-and-visualization-of-digits", "kernel_id": "62654065"}, {"ref": "gatabhjsbaj/multiclass-classification-matrics-in-mnist-dataset", "kernel_id": "62489978"}, {"ref": "khachuy/mlp-for-mnist-data", "kernel_id": "62065530"}, {"ref": "ryanadidaru/mnist-number-predictor-multilayers-version", "kernel_id": "62400547"}, {"ref": "mohammedborhanuddin/digit-recognizer-with-deep-learning-tensorflow", "kernel_id": "62091745"}, {"ref": "adityadoza/convolutional-kan-for-mnist", "kernel_id": "62956253"}, {"ref": "abdul92/pca-for-digit-recognition", "kernel_id": "62940171"}, {"ref": "khaledalrashidi1/digit-recognizer-cnn-99", "kernel_id": "62373262"}, {"ref": "chengfg/llama3-8b-llm20-questions-lb-750", "kernel_id": "62011807"}, {"ref": "satyajeetpani1/dense-nn", "kernel_id": "62044930"}, {"ref": "piyushkumar2424/pca-demo-code", "kernel_id": "62259126"}, {"ref": "melikechan/fork-of-mnist-98-9-accuracy-using-cnn", "kernel_id": "62015909"}, {"ref": "thomasrzeznik/mnist-neural-network", "kernel_id": "62723730"}, {"ref": "batuhanakcan/hand-written-digit-recognition-98-79", "kernel_id": "62480552"}, {"ref": "adhul000/mnist-99", "kernel_id": "62346962"}, {"ref": "atw31uwf/deeplearningproject", "kernel_id": "62367501"}, {"ref": "arnavaku/digit-recognizer-24-07-2024", "kernel_id": "62711640"}, {"ref": "ulasucan/digit-recognizer-aciklama", "kernel_id": "62412520"}, {"ref": "sagarchhabriya/pca-digit-recognizer", "kernel_id": "62032299"}, {"ref": "pranjaldhing/pca-explorer1", "kernel_id": "62346136"}, {"ref": "chandnisdatainsights/digit-recognizer-cnn", "kernel_id": "62429945"}, {"ref": "atharvmohanjadhav/pca-principle-component-analysis", "kernel_id": "62341194"}, {"ref": "nishantsingh96/digit-recognizer", "kernel_id": "62812594"}, {"ref": "zahranakhaei/adversary-attacks-in-neural-networks-fgsm-pgd", "kernel_id": "62341873"}, {"ref": "kgenki/digit-recognizer-0-99614", "kernel_id": "62180439"}, {"ref": "kayleescanlin/mnist-nn-final-acmtalk", "kernel_id": "62012531"}, {"ref": "danylokuznietsov/digit-recognition-99", "kernel_id": "62750846"}, {"ref": "himanshubhangale/digit-recognizer-with-cnn", "kernel_id": "62480640"}, {"ref": "sandiklitugce/convolutional-neural-network-tutorial-cnn", "kernel_id": "62648997"}, {"ref": "yomritoyj06/pca-scikit-learn", "kernel_id": "62201211"}, {"ref": "sneha31415/mnist-sneha", "kernel_id": "62070441"}, {"ref": "chrisstarsky/cnn-resnet-for-handwriting", "kernel_id": "62633330"}, {"ref": "ofire369/fully-cnn-without-any-linear-layers-accuracy-98", "kernel_id": "62095538"}, {"ref": "clawpirates/mnist-nn", "kernel_id": "62156677"}, {"ref": "clawpirates/mnist", "kernel_id": "62205925"}, {"ref": "abubakarabid/digit-recognizer", "kernel_id": "62746135"}, {"ref": "chizkidd/digit-recognizer-competition", "kernel_id": "63113065"}, {"ref": "chizkidd/cnn-mnist-99-578-accuracy", "kernel_id": "63135805"}, {"ref": "raashii/k-nearest-neighbor", "kernel_id": "63317163"}, {"ref": "arnrob/mnist-predicting-hand-written-digits-with-vit", "kernel_id": "63731505"}, {"ref": "ahsenwaheed/cnn-data-augmentation-implementation", "kernel_id": "63033068"}, {"ref": "rushabhmiyani/identified-digit", "kernel_id": "63073706"}, {"ref": "vithlanisunil/pca-demo-3-features-to-2-pca", "kernel_id": "63506665"}, {"ref": "ethanwchen/digit-recognization-w-pytorch", "kernel_id": "63523103"}, {"ref": "setyoab/mnist-from-scratch", "kernel_id": "63809502"}, {"ref": "aymanerbaati/digitrecognitionpytorch", "kernel_id": "63519605"}, {"ref": "shaunyoon/mnist-cnn", "kernel_id": "63497999"}, {"ref": "leonidaskaragkounis/mnist", "kernel_id": "63210360"}, {"ref": "danlesnar/digit-recognizer", "kernel_id": "63880935"}, {"ref": "edmund24/odl-gan", "kernel_id": "63508126"}, {"ref": "edmund24/odl-cnn-rnn-gan", "kernel_id": "63490597"}, {"ref": "dnyaneshwalwadkar/mnistlite-sota-lightweight-solution-99-90-accuracy", "kernel_id": "63454817"}, {"ref": "priyankdl/word2vec-skipgraom-cbow", "kernel_id": "63987707"}, {"ref": "abdullahahmed98/digital-recognition", "kernel_id": "63802923"}, {"ref": "dngovn/digit-recognition-image-classification-using-cnn", "kernel_id": "63530165"}, {"ref": "durukandemir/mnist-digit-recognizer-from-scratch", "kernel_id": "63113489"}, {"ref": "imyash23/digit-recognizer", "kernel_id": "63232298"}, {"ref": "alex56mod/digit-recognizer-for-training", "kernel_id": "63078903"}, {"ref": "aboodai/mnist-classification", "kernel_id": "63509341"}, {"ref": "kk8998/minst-submission", "kernel_id": "63084729"}, {"ref": "whoishmk/mnist-using-tensorflow-ann", "kernel_id": "63289524"}, {"ref": "dwivedia/feature-engineering-pca", "kernel_id": "63384125"}, {"ref": "malyala11211/dl-lab", "kernel_id": "63340163"}, {"ref": "masterhumberto/mnist-hardcore", "kernel_id": "63893370"}, {"ref": "sanidhyashukla/mnist-model", "kernel_id": "63515232"}, {"ref": "taitruong256/digit-recognizer-high-resolution-network", "kernel_id": "63192390"}, {"ref": "guilhermerigacci/simple-mnist-nn-from-scratch-numpy-no-tf-dc4023", "kernel_id": "63570859"}, {"ref": "hasanbasriuzun/digit-recognizer-v3", "kernel_id": "63670265"}, {"ref": "b39durgaprasad/digits-mnist-classification-using-cnn", "kernel_id": "63139614"}, {"ref": "shadesh/cnn-and-random-forest-process-and-code-explanatio", "kernel_id": "63104345"}, {"ref": "shadesh/cnn-implementation-for-mnist-dataset", "kernel_id": "63171116"}, {"ref": "khaledashrafm3wad/digit-classification-using-pca-and-lda-techniques", "kernel_id": "63549984"}, {"ref": "vladxavier/mnist-from-scratch", "kernel_id": "63036678"}, {"ref": "prathamjyotsingh/digit-recognition-using-cnn-99-3-accuracy", "kernel_id": "63883040"}, {"ref": "chrisleechrislee/softmax", "kernel_id": "63636180"}, {"ref": "chirayumadishetty/digit-recognizer", "kernel_id": "63877039"}, {"ref": "goodnightz/scratch-neural-network-with-optimization-0-97178", "kernel_id": "63187202"}, {"ref": "annatar1987/mnist", "kernel_id": "63092463"}, {"ref": "berkayozturkx/digit-recognition-with-cnn", "kernel_id": "63284463"}, {"ref": "harshvir04/pca-notebook", "kernel_id": "63407514"}, {"ref": "anthonytherrien/efficient-digit-recognition-pipeline", "kernel_id": "63560885"}, {"ref": "lokeswar56/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "63739148"}, {"ref": "koshijain/digit-recognition-tensorflow", "kernel_id": "63723838"}, {"ref": "sudarshan24byte/pytorch-digit-recognizer", "kernel_id": "63389559"}, {"ref": "akhil838/digit-recognition-pytorch-96-7", "kernel_id": "63473061"}, {"ref": "draganpinsent98/resnet152v2-for-mnist", "kernel_id": "63591021"}, {"ref": "ismaeldwikat/digit-recognizer", "kernel_id": "63111523"}, {"ref": "anggayulian/project-digit-recognizer-cnn-model", "kernel_id": "63217238"}, {"ref": "abhayayare/digit-recognizer-using-tensorflow", "kernel_id": "63455030"}, {"ref": "kamilandrzejewski/digit-recognizer", "kernel_id": "63022677"}, {"ref": "abdulrhmaneldeeb/hand-write-digit", "kernel_id": "63068028"}, {"ref": "muhammadirfansajid/digit-recognizer", "kernel_id": "63387419"}, {"ref": "jorgejeriacortes/jorge-jeria-dr", "kernel_id": "63568864"}, {"ref": "esspy99/digit-recogniser-pytorch", "kernel_id": "63019837"}, {"ref": "lainconn/digit-recog-with-kerastuner-python-keras3", "kernel_id": "63782105"}, {"ref": "yrmoore/pytorch-mnist-cnn", "kernel_id": "63340586"}, {"ref": "chaman001/pca-real-dataset", "kernel_id": "63317420"}, {"ref": "johnatanfelipe/simple-mnist-nn-from-scratch-numpy-no-tf-dc4023", "kernel_id": "63569452"}, {"ref": "aryanwd/feed-forward-network-mnist-pytorch", "kernel_id": "63388411"}, {"ref": "hiankur20/meltdown-ctf", "kernel_id": "63373882"}, {"ref": "leilonghao/digit-number", "kernel_id": "63042030"}, {"ref": "kexinzheng123/notebookf2761746a0", "kernel_id": "63458802"}, {"ref": "kexinzheng123/notebookb3aa07437c", "kernel_id": "63538673"}, {"ref": "surajthakur21/pca-demo", "kernel_id": "63104869"}, {"ref": "tphmaaa/digit-recognizer-using-cnn", "kernel_id": "63578190"}, {"ref": "sarpersen/digit-recognizer-with-cnn", "kernel_id": "63225663"}, {"ref": "shamekhing/digit-recognizer-mnist-pytorch", "kernel_id": "63662028"}, {"ref": "soumyadityanandy/nn-mnist", "kernel_id": "63417759"}, {"ref": "krishnanshverma/notebookb4965c20f2", "kernel_id": "63653641"}, {"ref": "dimashtab/first-digit-recognizer", "kernel_id": "63294108"}, {"ref": "absolomb/mnist-cnn", "kernel_id": "63709079"}, {"ref": "ericle3121/pytorch-mlp-mnist", "kernel_id": "63729396"}, {"ref": "rechardtconradie/rzc-mnist", "kernel_id": "63222868"}, {"ref": "kavish2004/devsoc-assgnmt", "kernel_id": "63522462"}, {"ref": "amannpatell/devsoc-nn-aman-1", "kernel_id": "63860932"}, {"ref": "xuhonghao2024/notebook041be710cc", "kernel_id": "63636794"}, {"ref": "usernumber909/test-emnist-data-project-edited", "kernel_id": "63897621"}, {"ref": "bonyiii/keras-restart", "kernel_id": "64227446"}, {"ref": "malyaj/digit-recognizer", "kernel_id": "64809708"}, {"ref": "aritrase/visiontransformer-from-scratch-pytorch", "kernel_id": "64118543"}, {"ref": "wmiscio/achieving-98-73-with-convolutional-neural-network", "kernel_id": "64377567"}, {"ref": "voldie/digit-recognizer", "kernel_id": "64260745"}, {"ref": "haobo8/plain-mlp-with-pytorch", "kernel_id": "64956870"}, {"ref": "haobo8/my-first-plain-mlp", "kernel_id": "64737348"}, {"ref": "arnrob/mnist-siamese-network-with-contrastive-loss", "kernel_id": "64268183"}, {"ref": "vyacheslavshen/are-vision-language-models-good-for-mnist", "kernel_id": "64980345"}, {"ref": "bilgekaanszen/mnist-dataset", "kernel_id": "64273053"}, {"ref": "skshmjn/pca-demo-1", "kernel_id": "64044846"}, {"ref": "vithlanisunil/pca-lab-digit-recognizer", "kernel_id": "64622844"}, {"ref": "takaoasaba/digit-recognizer-asaba", "kernel_id": "64820207"}, {"ref": "davinascimento/digit-classification", "kernel_id": "64736077"}, {"ref": "luqmanzaceria/simple-nn-from-scratch-97-6-no-tf-pytorch", "kernel_id": "64963975"}, {"ref": "yoannjaisenlollmun/digit-recognizer-kaggle", "kernel_id": "64387838"}, {"ref": "kasimovaslbek/digit-recognizer-with-cnn", "kernel_id": "64129969"}, {"ref": "rykerdz/handwritten-digit-recognition", "kernel_id": "64303617"}, {"ref": "krzysztofszafraski/simple-nn-and-visualizing-misclassified-examples", "kernel_id": "64222225"}, {"ref": "kasyfilalbar/vision-transformers-from-scratch", "kernel_id": "64701565"}, {"ref": "gatanherinne/mnist-classification-exploration-logit", "kernel_id": "64437202"}, {"ref": "gatanherinne/mnist-classification-logit-from-scratch", "kernel_id": "64639696"}, {"ref": "gatanherinne/mnist-classification-cnn-opti", "kernel_id": "64716510"}, {"ref": "gatanherinne/mnist-classification-densenet", "kernel_id": "64874668"}, {"ref": "gatanherinne/mnist-classification-vision-transformer-train", "kernel_id": "64961027"}, {"ref": "ishasinghrao/vit-trans", "kernel_id": "64288515"}, {"ref": "baotranquoc685/mnist", "kernel_id": "64732688"}, {"ref": "aditibabu/handwritten-digit-classifier-using-keras", "kernel_id": "64776082"}, {"ref": "kunrittyhe/mnist-cnn", "kernel_id": "64987211"}, {"ref": "phulamquang/mnist-using-ann-build-by-numpy-ipynb", "kernel_id": "64548745"}, {"ref": "arpit786/pca-softmax", "kernel_id": "64728284"}, {"ref": "taitruong256/digit-recognizer-neural-network-using-numpy", "kernel_id": "64370512"}, {"ref": "arbincand/notebook5f2ddd9c9a", "kernel_id": "64394688"}, {"ref": "samiul2172/neural-network-with-raw-python-digit-recognizer", "kernel_id": "64242988"}, {"ref": "jandyndor/digit-recognizer-svc-vs-pytorch", "kernel_id": "64653284"}, {"ref": "nicolasbarbado/neural-network-for-digit-recognition", "kernel_id": "64199924"}, {"ref": "selimmustafaaltnz/cnn-mn-st", "kernel_id": "64207228"}, {"ref": "zeroiq/torch-digit-recognizer", "kernel_id": "64125882"}, {"ref": "sudhanshu3112/pca-demo", "kernel_id": "64836903"}, {"ref": "innomight/digit-recognizer-from-scratch-with-explanation", "kernel_id": "64544683"}, {"ref": "yuriipolulikh/digit-recognition-99-4-accuracy", "kernel_id": "64774402"}, {"ref": "shahane806/digit-recognization", "kernel_id": "64156426"}, {"ref": "neeraj8180/cnn-le-net-model-for-mnist-digit-prediction", "kernel_id": "64444680"}, {"ref": "uzia01328/enlarging-dataset-digit-recognition-cnn", "kernel_id": "64707128"}, {"ref": "he186309trungkin/knowledge-graph", "kernel_id": "64801553"}, {"ref": "uditanshsri/notebookccab92e01d", "kernel_id": "64957991"}, {"ref": "ismail703/digit-recognation-using-keras-api", "kernel_id": "64190648"}, {"ref": "aranyakbanerjee007/digit-recognizer", "kernel_id": "64293611"}, {"ref": "rainiwijewantha/digit-recognizer", "kernel_id": "64148529"}, {"ref": "tombernado/digit-recognizer", "kernel_id": "64339777"}, {"ref": "rodelrahman/digit-recognizer-using-numpy", "kernel_id": "64273458"}, {"ref": "mdrahatulrabbi/7-cnn-handwritten-digit-recognition", "kernel_id": "64236076"}, {"ref": "sifonfelipe/digit-recognition-99-1", "kernel_id": "64532650"}, {"ref": "masatochino/digit-recognizer-mc", "kernel_id": "64482094"}, {"ref": "vermashubh2005/pca-demo", "kernel_id": "64725063"}, {"ref": "aaryamanshinde/final-implementation-of-nn-on-mnist", "kernel_id": "64624542"}, {"ref": "objenzh/mnist-digit-recognizer", "kernel_id": "64826845"}, {"ref": "isono5/digit-recognizer", "kernel_id": "64866831"}, {"ref": "schand98/use-cnn-fc", "kernel_id": "64919565"}, {"ref": "shinokazu/20240828", "kernel_id": "64867032"}, {"ref": "sakumakeisuke/digit-recognizer", "kernel_id": "64754364"}, {"ref": "shinymack/mnist", "kernel_id": "64730535"}, {"ref": "katherynnep/cnn-tutorial", "kernel_id": "64843939"}, {"ref": "harshd3344/mnist", "kernel_id": "64786758"}, {"ref": "spoildyao/digit-recognizer", "kernel_id": "64702491"}, {"ref": "adveino/notebooka3f1634af7", "kernel_id": "64261772"}, {"ref": "jumanajuju/digit-recognizer", "kernel_id": "64276780"}, {"ref": "pawaraliyanage24/digit-recognizer", "kernel_id": "64837290"}, {"ref": "marat102/dl3-cnn-mnist", "kernel_id": "65122578"}, {"ref": "gperpinan/mnist-deep-neural-network-with-keras", "kernel_id": "65147979"}, {"ref": "seyong73/recognizing-digits-using-tiny-vgg", "kernel_id": "65858381"}, {"ref": "taruchit/digitclassifier-keras", "kernel_id": "65848319"}, {"ref": "prokshitha/svm-digit-recognition-classification", "kernel_id": "65909781"}, {"ref": "nataliatimoshchuk/digit-recognizer-competition-notebook", "kernel_id": "65972581"}, {"ref": "haobo8/lenet5-in-pytorch-originally-by-y-lecun-et-al", "kernel_id": "65018473"}, {"ref": "valentinakotova/dl2-cnn", "kernel_id": "65139333"}, {"ref": "pavelkopka/mnist-digit-recognizer", "kernel_id": "65267949"}, {"ref": "changsoojung/cnn-digit-recognizer-pytorch-lightning-0-99646", "kernel_id": "65869699"}, {"ref": "mithilpoojary/mnist-neural-network-in-numpy", "kernel_id": "65804043"}, {"ref": "edmund24/odl-cnn-rnn-gan-97d2d2", "kernel_id": "65755598"}, {"ref": "rayenbenfathallah/convolutional-neural-network-cnn-tutorial", "kernel_id": "65540939"}, {"ref": "angelogg/mnist-99-310-3-cnns-comparison", "kernel_id": "65602711"}, {"ref": "carloscabas/number-classifier-rna", "kernel_id": "65453017"}, {"ref": "oommoo/odl-cnn-rnn-gan", "kernel_id": "65152055"}, {"ref": "priyankdl/sentiment-analysis-imdb-torchtext-gru", "kernel_id": "65881261"}, {"ref": "rv1922/mnist-rf-model-97", "kernel_id": "65597967"}, {"ref": "rv1922/mnist-knn-97", "kernel_id": "65481654"}, {"ref": "rv1922/mnist-knn-97-acc", "kernel_id": "65130587"}, {"ref": "serdarbicici1/example-nns-cnns-98-6", "kernel_id": "65221259"}, {"ref": "firazztrk/digit-recognizer-cnn-score-0-989", "kernel_id": "65401652"}, {"ref": "gatanherinne/mnist-classification-phi3", "kernel_id": "65039939"}, {"ref": "gatanherinne/mnist-classification-vision-transformer-infere", "kernel_id": "65082162"}, {"ref": "piotrmachaj/digit-recognizer-mnist", "kernel_id": "65227601"}, {"ref": "danielhalwell/kaggle-digit", "kernel_id": "65542471"}, {"ref": "inancolak/digit-recognizer-hyperparameter-tunning", "kernel_id": "65116118"}, {"ref": "markstephenthomas/mnist-nnscratch", "kernel_id": "65206992"}, {"ref": "jamalshah811/random-forest", "kernel_id": "65535543"}, {"ref": "minhtucanh/digit-recognizer-competition", "kernel_id": "65663803"}, {"ref": "ildarismaghilov/cnn-dl", "kernel_id": "65826582"}, {"ref": "ankoosh/simple-nn-from-scratch-just-numpy-and-math", "kernel_id": "65301717"}, {"ref": "syednazmussakib/pytorch-cnn-hyper-parameter-tuning-99-45-acc", "kernel_id": "65959796"}, {"ref": "janemathieuasmo/mean-virtual-age", "kernel_id": "65717036"}, {"ref": "anmatngu/simple-pytorch-for-digit-recognizer", "kernel_id": "65494577"}, {"ref": "sc0v1n0/explore-flaml-digit-recognizer", "kernel_id": "65785734"}, {"ref": "idrissamdicko/digit-recognization-deep-learning-models", "kernel_id": "65790581"}, {"ref": "harshitpathak18/fashion-mnist-classification", "kernel_id": "65580873"}, {"ref": "harshitpathak18/cnn-99-41-digits-recognizer", "kernel_id": "65205909"}, {"ref": "kevindudesilva/mnist-trial", "kernel_id": "65992872"}, {"ref": "latypovramil/data-augmentation-using-cgan-pytorch", "kernel_id": "65722218"}, {"ref": "njagadeesh/digit-recognizer-98-pytorch", "kernel_id": "65813397"}, {"ref": "vikrant1902/digit-recognizer", "kernel_id": "65474463"}, {"ref": "vivekkmr07/digit-recognizer", "kernel_id": "65972919"}, {"ref": "whatharini/neural-network-with-tensorflow", "kernel_id": "65863062"}, {"ref": "whatharini/neural-network-with-math", "kernel_id": "65818065"}, {"ref": "zarnainsyed0/digit-recognizer-pytorch", "kernel_id": "65984452"}, {"ref": "manarm7md/digit-recognizer-cnn", "kernel_id": "65767236"}, {"ref": "tusharbadlani0/digit-recogniser", "kernel_id": "65966171"}, {"ref": "vaibhavpawar41/pca-demo-1", "kernel_id": "65392496"}, {"ref": "zhiyue666/308-digit-recognizer-infer-baseline-1", "kernel_id": "65792965"}, {"ref": "zhiyue666/308-digit-recognizer-train-baseline-1", "kernel_id": "65790656"}, {"ref": "hassaneskikri/image-digit-classification-using-cnn-0-993-score", "kernel_id": "65720646"}, {"ref": "naveenn004/digit-recognization", "kernel_id": "65962092"}, {"ref": "josmiguelvilches/digit-recognition", "kernel_id": "65166796"}, {"ref": "mitryboss/digit-recognizer-keras-cnn3layers", "kernel_id": "65575566"}, {"ref": "jenilhareshbhaighori/pca-demo-0-to-9-images", "kernel_id": "65480880"}, {"ref": "jorgevegagamero/notebook-mnist", "kernel_id": "65229440"}, {"ref": "alexandrelemercier/all-best-tabular-classifiers-comparative-study", "kernel_id": "65430377"}, {"ref": "shaurya410/notebookccab92e01d", "kernel_id": "65360028"}, {"ref": "junaidashrafbudoo/principal-component-analysis-of-mnist-with-knn", "kernel_id": "65079535"}, {"ref": "leozervos/leozervosdigitrecognizer", "kernel_id": "65446763"}, {"ref": "mrheavenly/digit-classification", "kernel_id": "65786782"}, {"ref": "filippgg/digit-recognizer-torch-ru", "kernel_id": "65487725"}, {"ref": "c0mpl3xalpha/digit-recognizer", "kernel_id": "65009213"}, {"ref": "zainebkhalid/digit-recognization-using-cnn-classification", "kernel_id": "65421350"}, {"ref": "efedenzakmansoy/digit-recognizer", "kernel_id": "65338516"}, {"ref": "abdelrhmantarek37/mnist-classification-with-cnn-99-5", "kernel_id": "65084791"}, {"ref": "pranaych100/digit-recognizer-using-cnn-with-99-accuracy", "kernel_id": "65804083"}, {"ref": "binaykushwaha/mnist-ab", "kernel_id": "65518453"}, {"ref": "metinhsimimi/digit-recognizer-deepneuraknetwork", "kernel_id": "65734663"}, {"ref": "hemanshugarg/custom-neural-net-mnist-test", "kernel_id": "65401053"}, {"ref": "matchabrainlatte/digit-recog", "kernel_id": "65167591"}, {"ref": "ammanrizwan/digit-recognizer-notebook", "kernel_id": "65482947"}, {"ref": "bhavya3549/digit-recognizer-prediction", "kernel_id": "65522255"}, {"ref": "ecealmirakaya/digit-recognizer", "kernel_id": "65191204"}, {"ref": "adamridene/digit-recognizer-competition-notebook", "kernel_id": "65864955"}, {"ref": "gabrielparaipan/pytorch-cnn-augmentation", "kernel_id": "65607712"}, {"ref": "trietp1253201581/digit-recognizer-mnist", "kernel_id": "65528291"}, {"ref": "kpatel00/handwritten-digits-recognizer-using-tf-keras", "kernel_id": "65386308"}, {"ref": "enikopoulos/attempt-with-randomforestclassifier-knn", "kernel_id": "65686412"}, {"ref": "kanakonakamura/digit-recognizer-by-nkmr", "kernel_id": "65543964"}, {"ref": "yuriyoshii/digit-recognizer-yoshii", "kernel_id": "65425640"}, {"ref": "iniyangiri/digit-recognizer", "kernel_id": "65480726"}, {"ref": "mixvn731/fully-connected-for-mnist", "kernel_id": "65538640"}, {"ref": "aldol07/pca-demo", "kernel_id": "65376141"}, {"ref": "vthngcnguyn/notebook16ef3acd66", "kernel_id": "65456496"}, {"ref": "ngkhnhh/khdl-g4", "kernel_id": "65030059"}, {"ref": "maximthomasml/digit-classifier-pytorch-cnn", "kernel_id": "65486096"}, {"ref": "aliaagamal/digit-recognizer-with-visualization", "kernel_id": "65026402"}, {"ref": "ivlevaanna/notebookb322900c67", "kernel_id": "65857538"}, {"ref": "marcelus87/reconocimiento-de-n-meros", "kernel_id": "65430146"}, {"ref": "faisalaryan/digit-recognizer-cnn-99-12-accuracy", "kernel_id": "65967427"}, {"ref": "daniellucasbuckner/demo-neural-network", "kernel_id": "65202534"}, {"ref": "swapnilkumarnorge/mynameistorchpytorch", "kernel_id": "65727706"}, {"ref": "mustansirmuhammad/neural-network-from-scratch", "kernel_id": "65756633"}, {"ref": "barkha05/neural-network", "kernel_id": "65475026"}, {"ref": "belnrobustillo/digit-recognizer-by-brc", "kernel_id": "65708251"}, {"ref": "donatomarino/notebook1f6ad34b78", "kernel_id": "65672809"}, {"ref": "renatoarmentacamacho/mlp-mnist-sin-tf", "kernel_id": "65893026"}, {"ref": "davidrpugh/cs-294w-fall-2024-week-3", "kernel_id": "66656770"}, {"ref": "annastasy/cnn-in-digit-recognition-99-5", "kernel_id": "66345088"}, {"ref": "trucnguyen2k19/imageclss-toy", "kernel_id": "66252390"}, {"ref": "masatakasuzuki/can-a-local-llm-be-used-for-image-classification", "kernel_id": "66980521"}, {"ref": "arnrob/learning-representations-with-simclr", "kernel_id": "66563193"}, {"ref": "ilyacampos/digit-recognizer-cnn", "kernel_id": "66666469"}, {"ref": "zvxayr/mnist-classification", "kernel_id": "66417376"}, {"ref": "chaosfractal/mnist-with-keras", "kernel_id": "66827179"}, {"ref": "fongwaiyong/convolutional-neural-network-cnn-tutorial", "kernel_id": "66011044"}, {"ref": "sspan0019/digit-recognition-cnn-classifier-99", "kernel_id": "66841503"}, {"ref": "changsoojung/simple-cnn-digit-recognizer-pytorch-lightning", "kernel_id": "66305218"}, {"ref": "muhiqdata/digit-prediction-cnn-99-5", "kernel_id": "66957806"}, {"ref": "authenticradio/build-a-neural-network-from-scratch", "kernel_id": "66066455"}, {"ref": "sarvenazchaeibakhsh/digit-recognizer", "kernel_id": "66421509"}, {"ref": "aruneshtiwari/mnist-digit-recognition-notebook", "kernel_id": "66384480"}, {"ref": "axeldawne/cs-294w-fall-2024-week-3", "kernel_id": "66988683"}, {"ref": "ismetsemedov/digit-recognizer", "kernel_id": "66056294"}, {"ref": "jesusdeleon19/digit-recognizer-with-tensorflow", "kernel_id": "66740695"}, {"ref": "carloscll/on-understanding-keras-flatten", "kernel_id": "66320842"}, {"ref": "georgeballos/notebookf6c90be491", "kernel_id": "66547057"}, {"ref": "ramyhafez/approach-to-classification", "kernel_id": "66368419"}, {"ref": "orvile/mnist-classfication-using-tf-keras", "kernel_id": "66323004"}, {"ref": "idowuadamo/mnist-from-dense-networks-to-cnns", "kernel_id": "66373391"}, {"ref": "prashudas/image-classification-mnist-using-ann-and-cnn", "kernel_id": "66599507"}, {"ref": "marlenatpanagiotakou/ieee-ntua-sb-ml-team-digit-recognizer", "kernel_id": "66507549"}, {"ref": "richardhhong/neural-network-numpy", "kernel_id": "66954377"}, {"ref": "abhiramuppuluri/fed-llm", "kernel_id": "66035464"}, {"ref": "ayushuttarwar/pca-implementation", "kernel_id": "66360483"}, {"ref": "ronitkorat/word2vec-skipgraom-cbow", "kernel_id": "66309089"}, {"ref": "zhiyue666/308-digit-recognizer-train-baseline-2", "kernel_id": "66643609"}, {"ref": "zhiyue666/308-digit-recognizer-make-img", "kernel_id": "66642499"}, {"ref": "zhiyue666/308-digit-recognizer-infer-baseline-2", "kernel_id": "66649669"}, {"ref": "dikshantjha/pca-on-mnest", "kernel_id": "66322463"}, {"ref": "suojuntan/deep-neural-network-keras-way", "kernel_id": "66040787"}, {"ref": "ahmedfathygwely/digit-recognition-neural-network-with-numpy-90-ac", "kernel_id": "66126728"}, {"ref": "sulaniishara/handwritten-digit-recognition", "kernel_id": "66280154"}, {"ref": "muhammadanasmuqeem/digit-classifier-using-cnn", "kernel_id": "66472761"}, {"ref": "matthewgregson123/mnist-with-pytorch", "kernel_id": "66611816"}, {"ref": "sajedibouttane/notebook54dcc2d7ed", "kernel_id": "66437482"}, {"ref": "shipa129/digit-recognizer-with-cnn-and-cross-validation", "kernel_id": "66016253"}, {"ref": "jacopoferretti/digit-recognizer-competition-with-cnns", "kernel_id": "66478869"}, {"ref": "dheerajcl/pytorch-starter", "kernel_id": "66889762"}, {"ref": "anshulroy28/notebook-for-presentation", "kernel_id": "66517627"}, {"ref": "tarekmohamedadel/digit-recognize-cnn", "kernel_id": "66118239"}, {"ref": "sandeepadalagiyawana/digit-recognizer-cnn-with-0-986-accuracy", "kernel_id": "66896248"}, {"ref": "dimabutko/use-cnn-for-mnist-classification", "kernel_id": "66384971"}, {"ref": "danielfnll/red-neuronal-simple-desde-cero-sin-tf-keras-pyt", "kernel_id": "66219992"}, {"ref": "harshahalpara/fnn-digit-classification", "kernel_id": "66666561"}, {"ref": "nattawat1234/pytorch-resnet152-acc0-99282", "kernel_id": "66976819"}, {"ref": "b14ucky/vision-transformer", "kernel_id": "66336368"}, {"ref": "ianmckinnerney/notebook4737400572", "kernel_id": "66563598"}, {"ref": "ivyfiecas/digit-recognition-with-cnn", "kernel_id": "66499195"}, {"ref": "saisameer2457/mnist-digit-recognizer", "kernel_id": "66272581"}, {"ref": "jennyzzhu/my-first-digit-recognizer", "kernel_id": "66682204"}, {"ref": "wongueshin/25-million-images-0-99757-mnist", "kernel_id": "66861506"}, {"ref": "muhammadmujtabaai/neural-network-scratch-with-momentum", "kernel_id": "66492560"}, {"ref": "hydrolyzed/indiv-cnn-prac", "kernel_id": "66020821"}, {"ref": "ahmedhamidaddeen/digit-recognizer", "kernel_id": "66722736"}, {"ref": "limgieg/cs-294w-fall-2024-week-3", "kernel_id": "66659531"}, {"ref": "vladislav7av/cnn-mnist-hw", "kernel_id": "66722910"}, {"ref": "allansoaresduarte/cnn-w-data-augmentation", "kernel_id": "66457541"}, {"ref": "singhashish004/mnist-datasets", "kernel_id": "66558591"}, {"ref": "anashassar/cnn-mnist", "kernel_id": "66040114"}, {"ref": "anweshaghatak/pca-demo", "kernel_id": "66855626"}, {"ref": "hermannsteinrtter/digit-recognizer-competition-notebook", "kernel_id": "66978162"}, {"ref": "yaroslavstrukevych/semisupervised-sa-caps-with-data-augmentation", "kernel_id": "66472542"}, {"ref": "aaghaazkhan/handwritten-recognition", "kernel_id": "66838098"}, {"ref": "ozark95/mnist", "kernel_id": "67669322"}, {"ref": "akhil123stats/pca-demo-practice", "kernel_id": "67086729"}, {"ref": "goduguanilhimam/a-computer-vision-playground", "kernel_id": "67464545"}, {"ref": "goduguanilhimam/self-proclaimed-god-of-handwritten-digits", "kernel_id": "67063835"}, {"ref": "arunin18/digit-recognizer-with-mnist-99-11", "kernel_id": "67320051"}, {"ref": "calingribble/notebook925a83f7dc", "kernel_id": "67231712"}, {"ref": "waelrash/mnist-cnn", "kernel_id": "67089313"}, {"ref": "waelrash/mnist-cnnmodel-0-994v4", "kernel_id": "67146523"}, {"ref": "zebinma/cs-294w-fall-2024-week-3", "kernel_id": "67038631"}, {"ref": "bhaveshg20/poly-neuron-net-for-mnist", "kernel_id": "67327748"}, {"ref": "bhaveshg20/hermite-interpolation-network-for-mnist", "kernel_id": "67225282"}, {"ref": "ayanch/notebookb8de0fdb9b", "kernel_id": "67704332"}, {"ref": "yuuthk/fork-of-digits-template", "kernel_id": "67934057"}, {"ref": "yuuthk/digits-template", "kernel_id": "67930992"}, {"ref": "eli2022/ann-mnist", "kernel_id": "67318683"}, {"ref": "othmanshbeir/mnist-cnn-classifier-99-5-accuracy", "kernel_id": "67489873"}, {"ref": "editama/digit-recognizer-with-pytorch-tutorial", "kernel_id": "67804919"}, {"ref": "georgeballos/ieee-ntua-sb-ml-team-digit-recognizer", "kernel_id": "67229598"}, {"ref": "khan1803115/mnist", "kernel_id": "67394735"}, {"ref": "ahmedsharaf09/digit-recognizer-using-cnn-accuracy-98", "kernel_id": "67342130"}, {"ref": "gandemnitin/notebook2171f90853", "kernel_id": "67961603"}, {"ref": "gunj234/neural-network", "kernel_id": "67595573"}, {"ref": "unnatisat/mnist-digit-recognition", "kernel_id": "67052291"}, {"ref": "alikken/25-million-images-0-99757-mnist", "kernel_id": "67147433"}, {"ref": "ahmedalmohamdy/digit-recognizer-using-cnn-accuracy-98-76", "kernel_id": "67344049"}, {"ref": "maryampirjamaat/mnist-classifiction", "kernel_id": "67684067"}, {"ref": "lucasvmigotto/torch-mnist-cnn", "kernel_id": "67917689"}, {"ref": "shivamaryan10/digit-recognizer", "kernel_id": "67132555"}, {"ref": "vincent1chen/notebook73f512c4c6", "kernel_id": "67221661"}, {"ref": "mohamedmoustache/mnist-xgboost", "kernel_id": "67575044"}, {"ref": "whq0q7/attention-se-cnn", "kernel_id": "67199656"}, {"ref": "mohamedtah00n/digit-recognizer-cnn-98-0", "kernel_id": "67034776"}, {"ref": "asserhassan/digit-recognizer-ann", "kernel_id": "67113347"}, {"ref": "beforeend/cv-cnn-keras", "kernel_id": "67248302"}, {"ref": "chardonarthur/shallow-neural-network-tensorflow", "kernel_id": "67720350"}, {"ref": "chardonarthur/shallow-neural-network-pytorch", "kernel_id": "67834151"}, {"ref": "nicolaspillin/mnist-cnn-200k", "kernel_id": "67229997"}, {"ref": "nicolaspillin/mnist-cnn-100k", "kernel_id": "67173775"}, {"ref": "lenhat543/mnist-digit-recognizer-using-svm", "kernel_id": "67980335"}, {"ref": "waelmoham6d/handwritten-digit-recognation", "kernel_id": "67045136"}, {"ref": "deniskolenko/digit-recognizer-with-pytorch-tutorial", "kernel_id": "67093980"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "iskkarina/digit-recognizer-with-pytorch-tutorial", "kernel_id": "67803152"}, {"ref": "raafatnagy/digit-recognizer-using-cnn-mnist-pytorch", "kernel_id": "67941688"}, {"ref": "prashantkumar02/pca-demo", "kernel_id": "67067361"}, {"ref": "ctrngquang/khdl-g4", "kernel_id": "67361954"}, {"ref": "ngkhnhh/th-ng-k-m-t", "kernel_id": "67382765"}, {"ref": "usernumber909/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "67160498"}, {"ref": "seifali432/handwritten-number-recognizer", "kernel_id": "67807825"}, {"ref": "ahmedghouneimy/cs-294w-fall-2024-week-3", "kernel_id": "67841829"}, {"ref": "tanishakhan1403/cs-294w-fall-2024-week-3", "kernel_id": "67534019"}, {"ref": "lintangrihn/klompok-10-digit-recognizer", "kernel_id": "67971579"}, {"ref": "albaraaj/digit-recog-albaraaj", "kernel_id": "67847424"}, {"ref": "sriharithirumaligai/cnn-based-digit-recognizer-99-4-accuracy", "kernel_id": "67286269"}, {"ref": "victorfflorensa/mnist-project-knn-data-augmentation", "kernel_id": "67032841"}, {"ref": "beatagancevska/digits-2024-10-23", "kernel_id": "67915250"}, {"ref": "yuriyuri12/simple-nn", "kernel_id": "67880095"}, {"ref": "wadzim/mnist-logistic-regression", "kernel_id": "68750068"}, {"ref": "mehdichardoli/notebook-mnist", "kernel_id": "68837102"}, {"ref": "pajaysaikrishna/mnist-using-nn", "kernel_id": "68619130"}, {"ref": "neelnirajjoshi/mnist-spiking-neural-network", "kernel_id": "68149635"}, {"ref": "phngnguynng/tutorial-digit-recognizer", "kernel_id": "68552947"}, {"ref": "mnikhil1/fork-of-tsa-net-optim-loss", "kernel_id": "68866419"}, {"ref": "mnikhil1/tsa-net-python-3-6-6", "kernel_id": "68071690"}, {"ref": "davidlist/simple-starter-model", "kernel_id": "68892963"}, {"ref": "yuuthk/fork-of-digits-template-a0425d", "kernel_id": "68569278"}, {"ref": "aungkaungpyaepaing/high-accuracy-cnn-based-digit-recognizer", "kernel_id": "68063194"}, {"ref": "tanuverma21/mnist-recognition", "kernel_id": "68349876"}, {"ref": "bikramjeetsinghbedi/digit-recognizer-with-cnn-new-to-kaggle", "kernel_id": "68031979"}, {"ref": "asmahachaichi/digit-recognizer-mnist-cnn", "kernel_id": "68560145"}, {"ref": "ashikshahriar/cnn-mnist-lenet5", "kernel_id": "68441822"}, {"ref": "ashikshahriar/mnist-accuracy-best", "kernel_id": "68579022"}, {"ref": "amitsubhashchejara/internship-deep-learning-task", "kernel_id": "68728042"}, {"ref": "vanshitaaggarwal/mnist-pca-knn", "kernel_id": "68027132"}, {"ref": "rishabhindoria22/numberclassifier", "kernel_id": "68534010"}, {"ref": "ganeshgaikwad1/digit-recognization-using-knn", "kernel_id": "68001042"}, {"ref": "chardonarthur/snn-vs-cnn-pytorch-mnist", "kernel_id": "68171023"}, {"ref": "chardonarthur/alexnet-pytorch-imagenet-1000-mini", "kernel_id": "68175581"}, {"ref": "fateneb/cnn-hand-writen-digits", "kernel_id": "68570320"}, {"ref": "amirkasseb/mind-cloud-ai-task", "kernel_id": "68024697"}, {"ref": "mxcc001/mnist", "kernel_id": "68578225"}, {"ref": "j2530046/digitrecognization-pca", "kernel_id": "68149146"}, {"ref": "mingyan111/cnn-with-pytorch-for-beginners", "kernel_id": "68554482"}, {"ref": "saivinayakula/mnist-digit-recognizer", "kernel_id": "68604309"}, {"ref": "taotaoyuzhou119/cnn-with-pytorch-for-beginners", "kernel_id": "68553370"}, {"ref": "tykkk5/cnn-with-pytorch-for-beginners", "kernel_id": "68568208"}, {"ref": "ngkhnhh/th-ng-k", "kernel_id": "68096356"}, {"ref": "ngkhnhh/khdl-g4-final", "kernel_id": "68621434"}, {"ref": "neshumaev/digit-recognizer-with-pytorch", "kernel_id": "68907217"}, {"ref": "vickystutter/digit-recognizer", "kernel_id": "68013339"}, {"ref": "manuelasoares/digit-recognizer-competition", "kernel_id": "68204557"}, {"ref": "alejalvez/notebook9f3604882d", "kernel_id": "68884780"}, {"ref": "kalyangautam53/notebook9f3604882d", "kernel_id": "68958614"}, {"ref": "r4m0nm4rt1n3z/notebook9f3604882d", "kernel_id": "68884894"}, {"ref": "mnik55/digit-recognizer-ml", "kernel_id": "68150308"}, {"ref": "markpelico/notebook9f3604882d-d5e1c4", "kernel_id": "68885090"}, {"ref": "laimwhite/digits-template", "kernel_id": "68632533"}, {"ref": "e23aoaoa/digits-template", "kernel_id": "68635453"}, {"ref": "yoonddn/mnist-tuto", "kernel_id": "68377141"}, {"ref": "kaiyoo88/tutorial-digit-recognizer-cnn", "kernel_id": "68529102"}, {"ref": "kaiyoo88/tutorial-digit-recognizer", "kernel_id": "68377214"}, {"ref": "cesarefaccio/mnist-from-scratch", "kernel_id": "68421402"}, {"ref": "krodriguez0409/notebook9f3604882d", "kernel_id": "68884796"}, {"ref": "datanerd2233/poly-neuron-net-for-mnist", "kernel_id": "68729780"}, {"ref": "sakana5280/digits-template", "kernel_id": "68634053"}, {"ref": "lincaa/digits-template", "kernel_id": "68641055"}, {"ref": "davidrpugh/ensemble-methods-for-classification", "kernel_id": "69726046"}, {"ref": "davidrpugh/stacking-methods-for-classification", "kernel_id": "69746542"}, {"ref": "lixian0205/simple-mnist-nn-from-scratch-numpy-or-pytorch", "kernel_id": "69753646"}, {"ref": "mrmarlo/mnist-dense-denoiser-autoencoder", "kernel_id": "69431001"}, {"ref": "wadzim/mnist-alexnet", "kernel_id": "69744571"}, {"ref": "jayanthbhansali/digit-recognizer-pca", "kernel_id": "69623832"}, {"ref": "vikhyatagarwal/completed-acm-intro-to-ml-logistic-regression", "kernel_id": "69274584"}, {"ref": "vikhyatagarwal/acm-intro-to-ml-logistic-regression", "kernel_id": "69055780"}, {"ref": "trex99/mnist-0", "kernel_id": "69969663"}, {"ref": "trex99/mnist-1", "kernel_id": "69970305"}, {"ref": "trex99/mnist-2", "kernel_id": "69970488"}, {"ref": "trex99/mnist-3", "kernel_id": "69975905"}, {"ref": "reidnersantos/digito-re", "kernel_id": "69329592"}, {"ref": "seasonxc/a2-vanilla-gan", "kernel_id": "69234967"}, {"ref": "adityayadav01/all-about-pca", "kernel_id": "69903995"}, {"ref": "georgeballos/fork-of-ml-ntua-g", "kernel_id": "69913349"}, {"ref": "ryanbell62101/cnn-digit-recognizer", "kernel_id": "69524630"}, {"ref": "asmitkumar12/anndigitsrcog", "kernel_id": "69048962"}, {"ref": "shreemayid/mnist-1d-dataset-digit-recognizer", "kernel_id": "69059237"}, {"ref": "debottambhowmick/effectiveness-of-pca-for-classification", "kernel_id": "69829526"}, {"ref": "tanmaysharma77/mnist-with-only-numpy", "kernel_id": "69227628"}, {"ref": "vedantkpatel/building-a-cnn-using-pytorch-digit-recognizer", "kernel_id": "69150911"}, {"ref": "zhiyue666/308-digit-recognizer-infer-baseline-3", "kernel_id": "69112628"}, {"ref": "zhiyue666/308-digit-recognizer-train-baseline-3", "kernel_id": "69112538"}, {"ref": "zhiyue666/308-digit-recognizer-with-simple-learnable-fusion", "kernel_id": "69423890"}, {"ref": "samanyuk/digit-recognizer-0-9928", "kernel_id": "69279702"}, {"ref": "sherifsamyabdelkarem/mnist-dataset-cnn-acc-99-7", "kernel_id": "69356359"}, {"ref": "msravanthi67/digit01", "kernel_id": "69651563"}, {"ref": "msravanthi67/digit1", "kernel_id": "69062736"}, {"ref": "rafi01001/gans-with-keras", "kernel_id": "69177447"}, {"ref": "thienanlnguyen/test-model-genaralizability-with-ccgs-ann-manifold", "kernel_id": "69662477"}, {"ref": "changyeopoh/mnist-deep-neural-network", "kernel_id": "69677574"}, {"ref": "waheedhussain2/mnist-k-fold-resnet-cnn-acc-99-43", "kernel_id": "69823256"}, {"ref": "ikramdjai/25-million-images-0-99757-mnist", "kernel_id": "69681841"}, {"ref": "danishyousuf19/digit-recognizer-score-1", "kernel_id": "69235437"}, {"ref": "timsinadipesh/my-mnist", "kernel_id": "69729232"}, {"ref": "shubhamsojitra/pca-demo-1", "kernel_id": "69239879"}, {"ref": "n4navii/principle-component-analysis", "kernel_id": "69348294"}, {"ref": "fardinahosanshawon98/pca-demo-digit-recognition", "kernel_id": "69766614"}, {"ref": "saffywaffy/mnist-classifying-digits", "kernel_id": "69875026"}, {"ref": "moridata/digit-recognizer-99-accuracy", "kernel_id": "69515918"}, {"ref": "olexii123/lenet-like-digit-recognizer", "kernel_id": "69249381"}, {"ref": "justinsteve/computer-vision-for-digits", "kernel_id": "69426129"}, {"ref": "justinsteve/data-augmentation-for-computer-vision-predictions", "kernel_id": "69502510"}, {"ref": "equitz/digit-recognizer-comp", "kernel_id": "69110240"}, {"ref": "hmutlu/simple-cnn-starter-with-early-stopping", "kernel_id": "69817134"}, {"ref": "vinzzent/mnist-digit-recognizer-cnn", "kernel_id": "69357838"}, {"ref": "abnerrodrigues/tensorflow-test-2", "kernel_id": "70041997"}, {"ref": "snehachalla/mnist-digit-recognizer", "kernel_id": "70295667"}, {"ref": "davidrpugh/manifold-learning-digit-recognizer", "kernel_id": "70327053"}, {"ref": "davidrpugh/pca-digit-recognizer", "kernel_id": "70242009"}, {"ref": "sandeepmutkule/find-optimal-number-of-principal-components-in-pca", "kernel_id": "70170441"}, {"ref": "immolator/mnist-digit-recognition-cnn", "kernel_id": "70659988"}, {"ref": "ngavus1/vu-s-digit-recognizer", "kernel_id": "70562193"}, {"ref": "limwenyang/digit-recognizer-cnn", "kernel_id": "70887594"}, {"ref": "santhoshmamidisetti/notebookf1f489f999", "kernel_id": "70490619"}, {"ref": "xbrunocruzx/digit-recognizer-classification", "kernel_id": "70496278"}, {"ref": "nadilanizam/digit-recognition-with-deep-learning", "kernel_id": "70068411"}, {"ref": "inbeomha/mnist-classifier-baseline", "kernel_id": "70071292"}, {"ref": "speedystrider/neural-network-mnist", "kernel_id": "70304798"}, {"ref": "janetanand/mnist-with-stochastic-opt-of-plain-cnns", "kernel_id": "70362194"}, {"ref": "aliochilov/digit-recognizer-cnn-acc-99", "kernel_id": "70324949"}, {"ref": "avibee/handwritten-digit-classifier-using-ann", "kernel_id": "70916018"}, {"ref": "igshchukin/flowers-dataset-base-nn", "kernel_id": "70378407"}, {"ref": "kaop11/digit-recognizer-optuna", "kernel_id": "70152554"}, {"ref": "maksym853/mnist-classification-using-ghostnet", "kernel_id": "70666353"}, {"ref": "cheesecke/ann-pytorch", "kernel_id": "70234561"}, {"ref": "nishamathur/25-million-images-0-99757-mnist", "kernel_id": "70822263"}, {"ref": "sachinthadilahan/digit-recognizer-99-16", "kernel_id": "70562947"}, {"ref": "iamshohruh/mnist-nn-fromscratch", "kernel_id": "70793331"}, {"ref": "almer9/nnpw3", "kernel_id": "70950170"}, {"ref": "sichoixbryan/digit-recognizer", "kernel_id": "70110077"}, {"ref": "pony1013/cnn-implementation-of-mnist-image-recognition", "kernel_id": "70931783"}, {"ref": "xiyuanwu/digit-recognizer-cnn-tensorflow-99-26", "kernel_id": "70329077"}, {"ref": "nvvs773g/fashion", "kernel_id": "70699752"}, {"ref": "sheemamasood/digit-recognizer-accuracy-1", "kernel_id": "70200378"}, {"ref": "samoilovmikhail/mnist-digit-recognizer-tutorial-keras-sequental", "kernel_id": "70961129"}, {"ref": "mushei/digit-recognizer", "kernel_id": "70156973"}, {"ref": "jiangwm/notebook31caf5f83c", "kernel_id": "70143128"}, {"ref": "zahidulislamturjo/pca-demo1", "kernel_id": "70891937"}, {"ref": "anjygupta/deeplearning-da6", "kernel_id": "70115098"}, {"ref": "t8101349/notebooka962e569ee", "kernel_id": "70101097"}, {"ref": "giuseppeschintuutk/cosc523-group9-m8-16-digit-recognizer", "kernel_id": "70539067"}, {"ref": "hmutlu/improved-cnn-with-early-stop-training", "kernel_id": "70043634"}, {"ref": "ralph1/mnist-tutorial", "kernel_id": "71986370"}, {"ref": "andandand/starter-notebook-mlp-mnist-competition", "kernel_id": "71978743"}, {"ref": "selcukcan/ai-lab-7", "kernel_id": "71751535"}, {"ref": "davidrpugh/outlier-detection-digit-recognizer", "kernel_id": "71548908"}, {"ref": "civahg/derin-renme-a-lk-rne-i-mnist", "kernel_id": "71598206"}, {"ref": "nguyenthanhktdt/thi-thanh-nguyen-73208-ai-lab-7", "kernel_id": "71752394"}, {"ref": "tuscarora/simple-introduction-to-cnn-for-mnist-99-37", "kernel_id": "71787211"}, {"ref": "hemed77/digit-recognizer", "kernel_id": "71865645"}, {"ref": "mrmarlo/tb-chest-x-ray-cnn-classifier", "kernel_id": "71971722"}, {"ref": "carlmcbrideellis/notebook-gan-mnist", "kernel_id": "71973156"}, {"ref": "aliane1/ai-lab-7", "kernel_id": "71753083"}, {"ref": "puspendubiswaspaul/mnist-for-beginners-tensorflow-dnn-cnn-keras", "kernel_id": "71113375"}, {"ref": "martynovandrey/cnn-ensemble", "kernel_id": "71603299"}, {"ref": "amal2001/ai-lab-7", "kernel_id": "71752921"}, {"ref": "irynapashchuk/ai-lab-7", "kernel_id": "71754166"}, {"ref": "aritramaji/digit-recognizer-cnn-tensorflow", "kernel_id": "71523813"}, {"ref": "nirmalbapatla23/notebook4f7a7d4e64", "kernel_id": "71853182"}, {"ref": "nitinjoy/73651-ai-lab-7", "kernel_id": "71759074"}, {"ref": "sarcasmbabachannel/digit-recognition-using-tensorflow", "kernel_id": "71924588"}, {"ref": "drapraks/notebooke324b286af", "kernel_id": "71062424"}, {"ref": "manuelsierramunoz/neural-network-from-scratch", "kernel_id": "71828677"}, {"ref": "mbu9ua/ai-lab-7-73572", "kernel_id": "71752908"}, {"ref": "rajnishkumarcse02/pca-implementation", "kernel_id": "71420482"}, {"ref": "omarsoudy/ai-lab-7", "kernel_id": "71752402"}, {"ref": "manishrai98/73774-ai-lab-7", "kernel_id": "71752740"}, {"ref": "sumitpatidar22/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "71660004"}, {"ref": "yaowenhao/mnist-svm", "kernel_id": "71691415"}, {"ref": "tadiwah/ai-lab-7", "kernel_id": "71759946"}, {"ref": "khushijaatni/notebook3ec3beea37", "kernel_id": "71225128"}, {"ref": "h4kr007/mnist", "kernel_id": "71559529"}, {"ref": "prajapatirishabh/pca-code", "kernel_id": "71740100"}, {"ref": "sarthak4/notebooka8c6e30a21", "kernel_id": "71397439"}, {"ref": "benitoramirez/digit-recognizer-cnn", "kernel_id": "71633695"}, {"ref": "adarshsudheer/digit-recognition", "kernel_id": "71534959"}, {"ref": "kejvipeti/notebook6cfba41b58", "kernel_id": "71640814"}, {"ref": "korlilarryaddo/fastai", "kernel_id": "71683992"}, {"ref": "yussufkadir/ai-lab-7", "kernel_id": "71751981"}, {"ref": "rishithakoppada/group2-digitrecognizernotebook", "kernel_id": "71727172"}, {"ref": "emmasonkalangi/ai-lab-7", "kernel_id": "71752668"}, {"ref": "biniamdege/ai-lab-7-biniyam", "kernel_id": "71765246"}, {"ref": "abirbiba/ai-lab-7", "kernel_id": "71752385"}, {"ref": "montassirgarnaout/ai-lab-7-results", "kernel_id": "71752465"}, {"ref": "ntiqamsmayilzade/ai-lab-7", "kernel_id": "71756193"}, {"ref": "lisamaziwa/ai-lab-7", "kernel_id": "71752482"}, {"ref": "dieudonnemhizha/ai-lab-7", "kernel_id": "71752593"}, {"ref": "fathimathsoofiyaen/ai-lab-7", "kernel_id": "71752832"}, {"ref": "rawarashid/rawarashid-70412-ai-lab-7", "kernel_id": "71752586"}, {"ref": "fuadmammadov02/ai-lab-7", "kernel_id": "71752749"}, {"ref": "mangalisosambo/ai-lab-7", "kernel_id": "71753166"}, {"ref": "premmatthiasbiswas/prem-matthias-biswas-70328-ai-lab-7", "kernel_id": "71755979"}, {"ref": "aymanelmajdoubi/ai-lab-7", "kernel_id": "71757274"}, {"ref": "patrichzampa/ai-lab-7-patrick-70406", "kernel_id": "71752746"}, {"ref": "arjunarithayibabu/ai-lab-7-70409", "kernel_id": "71753086"}, {"ref": "wiemabbassi/handwritten-digit-recognition-using-cnn", "kernel_id": "71358670"}, {"ref": "muhammedafreed/ai-lab-7", "kernel_id": "71753693"}, {"ref": "dhiyaeddineazzouz/ai-lab-7-f", "kernel_id": "71757890"}, {"ref": "saradalk/ai-lab-7", "kernel_id": "71755330"}, {"ref": "shenshiyun/infer-third", "kernel_id": "71515440"}, {"ref": "shenshiyun/train-third", "kernel_id": "71485929"}, {"ref": "danielnorthcott/image-detection-mnist", "kernel_id": "71290249"}, {"ref": "ucyastrophile/ai-lab-7", "kernel_id": "71752415"}, {"ref": "faizanhaji/ai-lab-faizan-70900", "kernel_id": "71752534"}, {"ref": "venkatanavya/ai-lab-7", "kernel_id": "71757236"}, {"ref": "rushikesh303/rushikesh-sonawane-70809ai-lab-7", "kernel_id": "71757350"}, {"ref": "rokonuzzamanshaad/digit-recognition-with-vgg16-like-cnn-architechtur", "kernel_id": "71422328"}, {"ref": "melettamathew/ai-lab-7-70895", "kernel_id": "71752366"}, {"ref": "spmohanty09/digit-recognition-model-v0-1", "kernel_id": "71862359"}, {"ref": "kevinann/ai-lab-7-kevin-70410", "kernel_id": "71755054"}, {"ref": "kjaehun/model-like-xception-for-mnist", "kernel_id": "71464864"}, {"ref": "anikmahmud77/anik-mahmud-70877-ai-lab-7", "kernel_id": "71754015"}, {"ref": "nehatandel/ai-lab-7-nehaben-tandel", "kernel_id": "71752996"}, {"ref": "darpanmadhavi01/72466-darpan-dl-lab", "kernel_id": "71753022"}, {"ref": "darpanmadhavi01/darpanm-72466-ai-lab-7", "kernel_id": "71759507"}, {"ref": "missssha/digit-recognizer", "kernel_id": "71825717"}, {"ref": "pratikyuvrajchougule/digit-recognization-99-54-accuracy", "kernel_id": "71705025"}, {"ref": "lakshyatri/tensorflow-for-beginner-to-advance", "kernel_id": "71785336"}, {"ref": "ahmedmqassem/nn-from-scratch", "kernel_id": "71608432"}, {"ref": "nourhankarm/handwritten-digits-recognition", "kernel_id": "71561195"}, {"ref": "ussefmohsen/digit-recognizer-cnn-99-24", "kernel_id": "71270861"}, {"ref": "muhammadsaadchohan/principal-component-analysis", "kernel_id": "71987193"}, {"ref": "shardulggore/pca-code", "kernel_id": "71883977"}, {"ref": "thehammadishaq/notebook2b2164920b", "kernel_id": "71558213"}, {"ref": "aungchannyein/digit-recognizer-with-cnn-99-07-accuracy", "kernel_id": "71734608"}, {"ref": "iamteekay/neural-network-from-scratch", "kernel_id": "71086698"}, {"ref": "krishnachaithanya99/digit-recognition", "kernel_id": "71433391"}, {"ref": "abdullahnadim/ai-lab-7", "kernel_id": "71824363"}, {"ref": "kaushal2712/ai-lab-7-kaushal-jasani-53100", "kernel_id": "71752560"}, {"ref": "jebrai/tensorflow-9973-accu-0-99tst-10-epochs-cnn", "kernel_id": "71903751"}, {"ref": "barik20/ai-lab-7", "kernel_id": "71752703"}, {"ref": "oussamaansal/ai-lab-7", "kernel_id": "71757831"}, {"ref": "dpdfkm/ai-lab-7-aleksander-bolczyk-53549", "kernel_id": "71752544"}, {"ref": "ashutosh48/ai-lab-7-73853", "kernel_id": "71759080"}, {"ref": "rashmiravikumarc/ai-lab-7-rashmi-ravikumar", "kernel_id": "71752658"}, {"ref": "deepshah12/deep-ai-lab-7", "kernel_id": "71752757"}, {"ref": "yakupmalikov/ai-lab-7-yakupguly-malikov", "kernel_id": "71752458"}, {"ref": "badreddinezaim/ai-lab-7", "kernel_id": "71753521"}, {"ref": "anisdjelid6/ai-lab-7", "kernel_id": "71753302"}, {"ref": "yelyzavetanechyporuk/ai-lab-7-liza", "kernel_id": "71753438"}, {"ref": "ramoncitotec/ai-lab-7", "kernel_id": "71752453"}, {"ref": "ashishnama6/73753-ashish-lab-7", "kernel_id": "71756054"}, {"ref": "jaguarmf/ai-lab-7", "kernel_id": "71753133"}, {"ref": "hmadamohssine/ai-lab-7", "kernel_id": "71752729"}, {"ref": "alisherrakhimov1/ai-lab-7", "kernel_id": "71754414"}, {"ref": "jaouadechchaouy1/ai-lab-7", "kernel_id": "71752748"}, {"ref": "sohamdrajpure/from-scratch-digit-recognition", "kernel_id": "71647829"}, {"ref": "asifshahar/ai-lab-7", "kernel_id": "71757525"}, {"ref": "natiqhaciyev/ai-lab-7", "kernel_id": "71755856"}, {"ref": "yimayushman/nn-of-mnist-for-ga", "kernel_id": "71242372"}, {"ref": "ajaytony45/ajay-74361", "kernel_id": "71754482"}, {"ref": "sambasivaraopoojala/ai-lab-7", "kernel_id": "71754963"}, {"ref": "anusha2362/ai-lab-7", "kernel_id": "71755367"}, {"ref": "banghai/number-recognition", "kernel_id": "71582639"}, {"ref": "halldor/99-3-cnn-210k-augmented-images-w-pytorch", "kernel_id": "72794588"}, {"ref": "mchahhou/digits-conv-mql-m2i", "kernel_id": "72834739"}, {"ref": "ralph1/mnist-pytorch-version", "kernel_id": "72980849"}, {"ref": "djbaruah/digit-recognizer-djb", "kernel_id": "72851753"}, {"ref": "datadoodler/nn-from-scratch-digit-classifier", "kernel_id": "72075013"}, {"ref": "selcukcan/ai-lab-7b", "kernel_id": "72754842"}, {"ref": "davidrpugh/mlpclassifier-digit-recognizer", "kernel_id": "72014030"}, {"ref": "nguyenthanhktdt/thi-thanh-nguyen-73208-ai-lab-7b", "kernel_id": "72756757"}, {"ref": "stpeteishii/digit-recognizer-cnn-keras-2024", "kernel_id": "72477592"}, {"ref": "carlosmatos97/mnist-mlp-recognition", "kernel_id": "72940164"}, {"ref": "vivekgediya/pca-vs-srp-sparse-random-projection-in-nutshell", "kernel_id": "72571592"}, {"ref": "aliane1/ai-lab-7b", "kernel_id": "72757842"}, {"ref": "iamtapendu/simple-gan-implementation", "kernel_id": "72566764"}, {"ref": "olaelshiekh/cnn-digitalrecognizer", "kernel_id": "72084771"}, {"ref": "axeldawne/digit-recognizer", "kernel_id": "72413748"}, {"ref": "gouravgulia/pca-demo", "kernel_id": "72292191"}, {"ref": "kiaralost/ai-lab-7b-akim-aiganym-74397", "kernel_id": "72757742"}, {"ref": "amal2001/ai-lab-7b", "kernel_id": "72767091"}, {"ref": "irynapashchuk/ai-lab-7b", "kernel_id": "72756980"}, {"ref": "kelixirr/mnist-digit-classification-99-3-accuracy", "kernel_id": "72902960"}, {"ref": "alimortezaie/digit-recognizer", "kernel_id": "72994292"}, {"ref": "minhdunglqunh/pytorch-kannada-mnist", "kernel_id": "72081764"}, {"ref": "nitinjoy/ai-lab73651", "kernel_id": "72769312"}, {"ref": "alicedaisyethirajs/digit-recognition-using-nueral-network", "kernel_id": "72482787"}, {"ref": "begzodbekturgunov/ai-lab-7b-begzodbek-turgunov", "kernel_id": "72767922"}, {"ref": "abjpaul/mnist-dataset-digit-recognizer", "kernel_id": "72885539"}, {"ref": "mbu9ua/ai-lab-7b-73572", "kernel_id": "72760184"}, {"ref": "stephanpuget/digit-recognizer", "kernel_id": "72567713"}, {"ref": "mariambouzidi/convolutional-neural-network-cnn-tutorial", "kernel_id": "72633553"}, {"ref": "dsumarks/csc-402-e2-f24-p2-imageclassification", "kernel_id": "72519968"}, {"ref": "akramrais/ai-lab-7b", "kernel_id": "72767074"}, {"ref": "omarsoudy/ai-lab-7b", "kernel_id": "72756997"}, {"ref": "manishrai98/ai-lab-7b-73774", "kernel_id": "72756694"}, {"ref": "deivissonvaz/reconhecedor-de-d-gito-por-vizinhos-pr-ximos-tf", "kernel_id": "72172609"}, {"ref": "abdullahtanveer123/notebook4dc3093fbf", "kernel_id": "72699970"}, {"ref": "whitedevil4648/introduction-to-gans-with-keras", "kernel_id": "72475488"}, {"ref": "tadiwah/ai-lab-7b", "kernel_id": "72756779"}, {"ref": "ahmedessammoh/mnist-cnn", "kernel_id": "72137758"}, {"ref": "almer9/nnpw4", "kernel_id": "72104892"}, {"ref": "obzngs/cnn-aug-digit-recognizer", "kernel_id": "72040131"}, {"ref": "mohamedastitou/cgan-on-mnist-dataset", "kernel_id": "72990035"}, {"ref": "traffys/ai-lab-7", "kernel_id": "72324867"}, {"ref": "yussufkadir/ai-lab-7b", "kernel_id": "72756727"}, {"ref": "chaoqunyang/notebook24dbc42c66", "kernel_id": "72539714"}, {"ref": "axselvitsel/ai-lab-7", "kernel_id": "72587038"}, {"ref": "emmasonkalangi/ai-lab-7b", "kernel_id": "72758478"}, {"ref": "biniamdege/ai-lab-7b-biniyam", "kernel_id": "72764715"}, {"ref": "abirbiba/ai-lab-7b", "kernel_id": "72757486"}, {"ref": "montassirgarnaout/ai-lab-7b-result", "kernel_id": "72756856"}, {"ref": "ntiqamsmayilzade/ai-lab-7b", "kernel_id": "72760440"}, {"ref": "lisamaziwa/ai-lab-7b", "kernel_id": "72756811"}, {"ref": "fathimathsoofiyaen/ai-lab-7b", "kernel_id": "72757828"}, {"ref": "rawarashid/rawarashid-70412-ai-lab-7b", "kernel_id": "72757483"}, {"ref": "fuadmammadov02/ai-lab-7b", "kernel_id": "72758728"}, {"ref": "mangalisosambo/ai-lab-7b-bd4be5", "kernel_id": "72765166"}, {"ref": "aymanelmajdoubi/ai-lab-7b", "kernel_id": "72763553"}, {"ref": "patrichzampa/ai-lab-7b-patrick-70406", "kernel_id": "72757882"}, {"ref": "arjunarithayibabu/ai-lab-7b", "kernel_id": "72758863"}, {"ref": "muhammedafreed/ai-lab-7b", "kernel_id": "72759089"}, {"ref": "athulyamurukan/ai-lab-7b", "kernel_id": "72757983"}, {"ref": "dhiyaeddineazzouz/ai-lab-7b", "kernel_id": "72764992"}, {"ref": "saradalk/ai-lab-7b", "kernel_id": "72757763"}, {"ref": "roninvers/digit-recognition-using-dt-rf", "kernel_id": "72970941"}, {"ref": "ucyastrophile/ai-lab-7b", "kernel_id": "72756819"}, {"ref": "faizanhaji/ai-lab-7b", "kernel_id": "72757079"}, {"ref": "shubhamsojitra/feature-importance-demo", "kernel_id": "72543200"}, {"ref": "venkatanavya/ai-lab-7b-venkata-navya-lakshmi-duggi-70879", "kernel_id": "72764956"}, {"ref": "rushikesh303/rushikesh-sonawane-70809ai-lab-7b", "kernel_id": "72761173"}, {"ref": "mohamedmostafa23334/dcgan-mnist", "kernel_id": "72132071"}, {"ref": "melettamathew/ai-lab-7b-70895", "kernel_id": "72756716"}, {"ref": "ravesandstorm/ensemble-digit-recogniser", "kernel_id": "72409497"}, {"ref": "kevinann/ai-lab-7b-kevin-70410", "kernel_id": "72756805"}, {"ref": "danieltshuma/ai-lab-7", "kernel_id": "72617482"}, {"ref": "anikmahmud77/ai-lab-7b", "kernel_id": "72759548"}, {"ref": "nehatandel/ai-lab-7b-nehaben-tandel-70393", "kernel_id": "72758243"}, {"ref": "mehmetsaidnl/ai-lab-7", "kernel_id": "72340668"}, {"ref": "stefanluncanu/0-991-a-quick-start-for-beginners-using-keras", "kernel_id": "72587044"}, {"ref": "sabra15/digit-recognition-using-tensorflow", "kernel_id": "72969503"}, {"ref": "huyhxun/number-recognition-dcbad5", "kernel_id": "72246169"}, {"ref": "anushachaudhuri3/digit-recognizer-using-svm", "kernel_id": "72793761"}, {"ref": "tamernada/cnn-competition-notebook-digit-recognizer", "kernel_id": "72085084"}, {"ref": "ramiabdullah/13-handwritten-digit-recognition-cnn", "kernel_id": "72952278"}, {"ref": "ferasalshash/digit-recognizer-cnn-model-training-and-evaluatio", "kernel_id": "72104584"}, {"ref": "takundacbnhando/ai-lab-7", "kernel_id": "72587689"}, {"ref": "ferdinandonuh/ai-lab-7", "kernel_id": "72551721"}, {"ref": "nazarnykyforuk/ai-lab-7", "kernel_id": "72586037"}, {"ref": "jormay/ai-lab-7", "kernel_id": "72587247"}, {"ref": "akezhanyergali/ai-lab-7", "kernel_id": "72634094"}, {"ref": "chzhuyevhen/ai-lab-7", "kernel_id": "72586959"}, {"ref": "seymuruvarov/ai-lab-7", "kernel_id": "72623317"}, {"ref": "alesiaamelchanka/ai-lab-7", "kernel_id": "72624312"}, {"ref": "feritsen/ai-lab-7", "kernel_id": "72632749"}, {"ref": "talentchipokazembe/ai-lab-7-68844", "kernel_id": "72608589"}, {"ref": "yassineramdani/digit-recognizer-pw", "kernel_id": "72316072"}, {"ref": "senhadjimohamedsaid/digit-recognizer", "kernel_id": "72943948"}, {"ref": "vaibsa/ai-lab-7", "kernel_id": "72343447"}, {"ref": "oleksiikhomaziuk/ai-lab-7", "kernel_id": "72317210"}, {"ref": "gtmsrsh/ai-lab-7", "kernel_id": "72324947"}, {"ref": "artembredak/ai-lab-7", "kernel_id": "72324802"}, {"ref": "aigerimaldabergen/ai-lab-7", "kernel_id": "72336253"}, {"ref": "kakkadu69783/ai-lab-7", "kernel_id": "72325193"}, {"ref": "dandendan/ai-lab-7", "kernel_id": "72324891"}, {"ref": "asiborjoan/ai-lab-7", "kernel_id": "72336547"}, {"ref": "faithmupambiki/ai-lab-7-faith-mupambiki-68809", "kernel_id": "72325254"}, {"ref": "halivartem/ai-lab-7", "kernel_id": "72323981"}, {"ref": "sofiiayankina/ai-lab-7", "kernel_id": "72333367"}, {"ref": "argynkarimkhan/ai-lab-7", "kernel_id": "72332237"}, {"ref": "argynkarimkhan/ai-lab-7-d1a4aa", "kernel_id": "72341779"}, {"ref": "salemlombard/ai-lab-7", "kernel_id": "72336129"}, {"ref": "princessolaoke/ai-lab-7", "kernel_id": "72343049"}, {"ref": "abdelrahamansoliman/ai-lab-7", "kernel_id": "72635807"}, {"ref": "kassym123/ai-lab-7", "kernel_id": "72632398"}, {"ref": "majedkheir/ai-lab-7", "kernel_id": "72635198"}, {"ref": "majedkheir/ai-lab-7-681f10", "kernel_id": "72635257"}, {"ref": "vladyslav214/ai-lab-7", "kernel_id": "72624135"}, {"ref": "febinfrancis77/ai-lab-7", "kernel_id": "72624524"}, {"ref": "ibrokhimjonaliev/ai-lab-7", "kernel_id": "72630667"}, {"ref": "arsenflorykian66704/ai-lab-7", "kernel_id": "72630817"}, {"ref": "burakergin/ai-lab-7", "kernel_id": "72332057"}, {"ref": "kaushal2712/ai-lab-7b", "kernel_id": "72756725"}, {"ref": "bulganina/ai-lab-7", "kernel_id": "72595689"}, {"ref": "abenezerberhanuabera/notebook747910f4ce", "kernel_id": "72601401"}, {"ref": "odinaev/ai-lab-7-c4b100", "kernel_id": "72328895"}, {"ref": "tinotendaziko/ai-lab-7-68870", "kernel_id": "72332190"}, {"ref": "grkembadan/ai-lab-7", "kernel_id": "72631273"}, {"ref": "zhyldyzesenbekova/ai-lab-7", "kernel_id": "72591066"}, {"ref": "ruslanshpakovskii/ai-lab-7", "kernel_id": "72608761"}, {"ref": "winneralabo/ai-lab-7", "kernel_id": "72596610"}, {"ref": "garethmubaiwa/ai-lab-7", "kernel_id": "72630880"}, {"ref": "mersuatderin/ai-lab-7", "kernel_id": "72624477"}, {"ref": "vitaliigolovko/ai-lab-7", "kernel_id": "72631840"}, {"ref": "mnrayhan/ai-lab-7", "kernel_id": "72631892"}, {"ref": "denysboiko2112/ai-lab-7", "kernel_id": "72630690"}, {"ref": "kusanovbaiastan/ai-lab-7", "kernel_id": "72634022"}, {"ref": "bhumi68998/ai-lab-7", "kernel_id": "72602425"}, {"ref": "alperenocak/ai-lab-7", "kernel_id": "72633013"}, {"ref": "eneskaracali/ai-lab-7", "kernel_id": "72633028"}, {"ref": "usmonkhujamuydinov/ai-lab-7", "kernel_id": "72631957"}, {"ref": "oleksandrsteshenko/ai-lab-7", "kernel_id": "72632440"}, {"ref": "oussamaansal/ai-lab-7b", "kernel_id": "72760332"}, {"ref": "dpdfkm/ai-lab-7b-aleksander-bolczyk-53549", "kernel_id": "72756847"}, {"ref": "ashutosh48/ai-lab-7b-72466", "kernel_id": "72764636"}, {"ref": "ashutosh48/ai-lab-7b-73852", "kernel_id": "72762587"}, {"ref": "rashmiravikumarc/ai-lab-7b-rashmi-ravikumar", "kernel_id": "72757568"}, {"ref": "deepshah12/ai-lab-7b-deep", "kernel_id": "72756833"}, {"ref": "yakupmalikov/ai-lab-7b-yakupguly-malikov", "kernel_id": "72756781"}, {"ref": "badreddinezaim/ai-lab-7b", "kernel_id": "72759123"}, {"ref": "rasimsaidaydogdu/ai-lab-7", "kernel_id": "72332064"}, {"ref": "ahmetberaky/ai-lab-7", "kernel_id": "72328208"}, {"ref": "mehmettarikbas/ai-lab-7", "kernel_id": "72331613"}, {"ref": "alinalytvynenko/ai-lab-7", "kernel_id": "72325075"}, {"ref": "ashwinstands/ai-lab-7", "kernel_id": "72326258"}, {"ref": "vladyslavop/ai-lab-7", "kernel_id": "72324960"}, {"ref": "iliasnuruiasov69546/ai-lab-7", "kernel_id": "72335695"}, {"ref": "ilddsilva/ai-lab-7", "kernel_id": "72341113"}, {"ref": "melaniemubaiwa/ai-lab-7", "kernel_id": "72332883"}, {"ref": "dmaranga/ai-lab-7", "kernel_id": "72338214"}, {"ref": "yuyafimava/ai-lab-7", "kernel_id": "72332143"}, {"ref": "madzo10/ai-lab-7", "kernel_id": "72342865"}, {"ref": "yehorbuss/ai-lab-7", "kernel_id": "72330745"}, {"ref": "zekaiylmaz/ai-lab-7", "kernel_id": "72332151"}, {"ref": "adilkhanasanov/ai-lab-7-96ada8", "kernel_id": "72340788"}, {"ref": "kupryianau/ai-lab-7", "kernel_id": "72599981"}, {"ref": "kutmanmamatkulov/ai-lab-7", "kernel_id": "72633459"}, {"ref": "panashechipomhomj/ai-lab-7", "kernel_id": "72623943"}, {"ref": "zalkaravtandiluulu/ai-lab-7", "kernel_id": "72635291"}, {"ref": "anisdjelid6/ai-lab-7b", "kernel_id": "72757260"}, {"ref": "shannonmandude/ai-lab-7", "kernel_id": "72341212"}, {"ref": "naslmm10/ai-lab-7", "kernel_id": "72631830"}, {"ref": "teykk4/ai-lab-7", "kernel_id": "72333976"}, {"ref": "ndethi/digit-recognizer-cnn-ndethi", "kernel_id": "72042005"}, {"ref": "yelyzavetanechyporuk/ai-lab-7b-liza", "kernel_id": "72756708"}, {"ref": "ramoncitotec/ai-lab-7b", "kernel_id": "72756774"}, {"ref": "ashishnama6/ai-lab-7b", "kernel_id": "72760214"}, {"ref": "jaguarmf/ai-lab-7b", "kernel_id": "72760594"}, {"ref": "hmadamohssine/ai-lab-7b", "kernel_id": "72756943"}, {"ref": "alisherrakhimov1/ai-lab-7b", "kernel_id": "72757636"}, {"ref": "jaouadechchaouy1/ai-lab-7b", "kernel_id": "72760383"}, {"ref": "tafadzwarwizi/ai-lab-7", "kernel_id": "72340661"}, {"ref": "tafadzwarwizi/ai-lab-7b", "kernel_id": "72867578"}, {"ref": "asifshahar/ai-lab-7b", "kernel_id": "72759586"}, {"ref": "natiqhaciyev/ai-lab-7b", "kernel_id": "72757385"}, {"ref": "los3r1/cnn-draft", "kernel_id": "72079198"}, {"ref": "ajaytony45/ai-lab-7b-74361", "kernel_id": "72760057"}, {"ref": "sambasivaraopoojala/ai-lab-7b", "kernel_id": "72757711"}, {"ref": "aromalpashokan/ai-lab-7b", "kernel_id": "72758561"}, {"ref": "aromalpashokan/ai-lab-7b-74256-8c0568", "kernel_id": "72764816"}, {"ref": "anusha2362/ai-lab-7b", "kernel_id": "72762922"}, {"ref": "marionrv/99-567-digit-recognizer-with-tensorflow-cnn", "kernel_id": "72929511"}, {"ref": "thaliastraatman/tw3-ml-2425-rixt-thalia-f51349", "kernel_id": "72169140"}, {"ref": "rixtaalberda/tw3-ml-2425-rixt-thalia-f51349", "kernel_id": "72185754"}, {"ref": "rixtaalberda/tw3-ml-2425-rixt-thalia", "kernel_id": "72109170"}, {"ref": "lavanyapasupuleti1/ai-lab-7b-74341", "kernel_id": "72762100"}, {"ref": "auxxx0/notebookb74d33ef70", "kernel_id": "72386400"}, {"ref": "aleksandrkriukov/notebooka34c1614f5", "kernel_id": "72199165"}, {"ref": "dataweaver32/mnist-ave", "kernel_id": "72357833"}, {"ref": "manavmaheshwari2468/mnist-digitrecognizer", "kernel_id": "72824168"}, {"ref": "sarthakarora108/number-recogniser-nn", "kernel_id": "72844755"}, {"ref": "laodriverayu/99-64-pytorch-resnet-optuna-aug-with-guide", "kernel_id": "72965457"}, {"ref": "anishghoshghosh/ai-project", "kernel_id": "72992822"}, {"ref": "tkoyama010/digit-recognizer-a-beginner-s-approach-with-keras", "kernel_id": "73992432"}, {"ref": "annettelianchiu/deep-learning-from-scratch-daily", "kernel_id": "73406580"}, {"ref": "freacle/notebook981215b8da", "kernel_id": "73542589"}, {"ref": "umairinayat/digit-recognizer", "kernel_id": "73872850"}, {"ref": "alfaecho/digit-recognizer-with-nn", "kernel_id": "73749415"}, {"ref": "itsyoursumit/digit-recognizer", "kernel_id": "73470370"}, {"ref": "ak3639/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "73769444"}, {"ref": "jijagallery/digit-classifier-from-rf-to-neural-network", "kernel_id": "73968068"}, {"ref": "mohamedshafeekt/neuralnetworkfromscratch", "kernel_id": "73685070"}, {"ref": "shivamkumar090/digit-recognizer", "kernel_id": "73739610"}, {"ref": "arundandiboina/mnist-with-dnn", "kernel_id": "73399000"}, {"ref": "tabassumoyshee/multi-layer-perceptron", "kernel_id": "73708144"}, {"ref": "vutukuripavankumar10/understanding-the-working-of-pca", "kernel_id": "73714875"}, {"ref": "vutukuripavankumar10/classification-metrics-mnist", "kernel_id": "73987193"}, {"ref": "abdullahafzal09/pca-demo-1", "kernel_id": "73869467"}, {"ref": "khseon7/data-augmentation-resnet", "kernel_id": "73620599"}, {"ref": "cvvcvccvvcvc/mnist-conv", "kernel_id": "73283210"}, {"ref": "akhilpm1996/dcgan-implementation-tensorflow", "kernel_id": "73165126"}, {"ref": "almer9/nnpw5", "kernel_id": "73024383"}, {"ref": "gayatrimehta/kan-for-mnist-519bdc", "kernel_id": "73326892"}, {"ref": "challashabdswaroop/dcgan-for-mnist", "kernel_id": "73035908"}, {"ref": "farisaboueid/deeplearning-number-detection", "kernel_id": "73781688"}, {"ref": "aftabmohammad/mnist-deep-neural-network-with-keras", "kernel_id": "73128679"}, {"ref": "mohamedsaeedgoda/cnn-convolutional-neural-network", "kernel_id": "73480920"}, {"ref": "metinmekiabullrahman/digit-recognizer", "kernel_id": "73863482"}, {"ref": "christinajoslin/cnn-digit-recognizer", "kernel_id": "73536317"}, {"ref": "nikkyg27/principle-component-analysis", "kernel_id": "73342840"}, {"ref": "adityaakuskar/pca-minst", "kernel_id": "73286826"}, {"ref": "adhnanjeff/msint-nn-with-numpy", "kernel_id": "73913109"}, {"ref": "ajfaisal002/digit-recognition-beginner-friendly-cnn-99", "kernel_id": "73426614"}, {"ref": "alphaanas/practise-digit-recognizer", "kernel_id": "73830361"}, {"ref": "diegocarneiro/digit-recognizer", "kernel_id": "73147785"}, {"ref": "thithanhxuantu/demo-digit-recognizer", "kernel_id": "73666127"}, {"ref": "johnsonmugarra2/predictive-modelling-with-a-neural-network", "kernel_id": "73428827"}, {"ref": "furkanbaykal/kaggle-digit-recognizer", "kernel_id": "73958388"}, {"ref": "pallavrastogi/notebookdc522bb062", "kernel_id": "73830968"}, {"ref": "bilal500/mnist-cnn", "kernel_id": "73531853"}, {"ref": "anismarrouchi/classify-mnist-digits-using-cnn", "kernel_id": "73591256"}, {"ref": "fatihakar5/digit-recognizer", "kernel_id": "73085180"}, {"ref": "leor0gers/digit-recogiser-neural-net-from-scratch", "kernel_id": "73819725"}, {"ref": "nguyenhathaison/lenet-5-implementation-with-pytorch", "kernel_id": "73093013"}, {"ref": "jacksonasiligwa/mnistdatasetnew-99-0", "kernel_id": "73855444"}, {"ref": "abubakar99/digit-classification-using-gaussian-naive-bayes", "kernel_id": "73050971"}, {"ref": "abubakar99/digit-recognizer-naive-bayes-discrete-approach", "kernel_id": "73049907"}, {"ref": "yassineramdani/digit-transfer-learning", "kernel_id": "73480055"}, {"ref": "yassineramdani/image-text-multilabel", "kernel_id": "73480159"}, {"ref": "yassineramdani/financial-sentiment-analysis-bert", "kernel_id": "73487874"}, {"ref": "yassineramdani/digits-conv-test", "kernel_id": "73443830"}, {"ref": "yassineramdani/digit-rec-conv", "kernel_id": "73443364"}, {"ref": "prognam0r/digits-conv-mql-m2i-c0291f", "kernel_id": "73235517"}, {"ref": "monoon/shuzisb", "kernel_id": "73235923"}, {"ref": "ttaiaiai/lightgbm-score1-0", "kernel_id": "73358358"}, {"ref": "meesamr/mnist-1-nn", "kernel_id": "73943545"}, {"ref": "rgontijof/digit-recognizer-1", "kernel_id": "73964654"}, {"ref": "oscgcs/digit-recognition-beginner-friendly-cnn-99", "kernel_id": "73449637"}, {"ref": "carlospmr/carlos-pinto-digitrecognizer-tensorflow", "kernel_id": "73228927"}, {"ref": "jaysurender/notebook73578ad44d", "kernel_id": "73750078"}, {"ref": "maikua/reconocimiento-digitos-jos-hern-ndez", "kernel_id": "73459248"}, {"ref": "dcodernikhil1/mnist-nn-from-scratch", "kernel_id": "73561341"}, {"ref": "fredycabrera/neural-network-digit-recognizer", "kernel_id": "73751500"}, {"ref": "gallanonimm/mnist", "kernel_id": "73820161"}, {"ref": "dhruvjain260203/digitrecognier", "kernel_id": "73874632"}, {"ref": "mikedev/flow-matching-with-mnist-dataset", "kernel_id": "74282514"}, {"ref": "elintrix/classifying-handwritten-digits-with-python", "kernel_id": "74333428"}, {"ref": "mrumuly/chainpost-unreasonably-deep-gradient-descent", "kernel_id": "74975653"}, {"ref": "stpeteishii/pendigit-recognizer-cnn-keras-2024", "kernel_id": "74308038"}, {"ref": "wguesdon/minist-xgboost", "kernel_id": "74925905"}, {"ref": "wguesdon/minist-pytorch", "kernel_id": "74917375"}, {"ref": "kunalkishore01/mnist-handwritten-digit-classifier", "kernel_id": "74867941"}, {"ref": "teenasapra/notebookeceed6207c", "kernel_id": "74542238"}, {"ref": "nhernandezz/digit-recognizer-model-comparison", "kernel_id": "74021392"}, {"ref": "gabrielschaldach/simple-convnet-with-keras", "kernel_id": "74291900"}, {"ref": "indeedinspiring/convolutional-neural-network-cnn-tutorial", "kernel_id": "74447296"}, {"ref": "abenezertesfaye/mnist-digit-recognition-with-cnn", "kernel_id": "74280486"}, {"ref": "khatarnum1/23l8046-shehryar-a3", "kernel_id": "74108074"}, {"ref": "csaresafloresmartnez/notebooke3f13eb445", "kernel_id": "74268259"}, {"ref": "djs100201/mnist", "kernel_id": "74103545"}, {"ref": "duongvanhiepk18hl/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "74995714"}, {"ref": "gladiator8911/cnn-pytorch", "kernel_id": "74221598"}, {"ref": "divi20/resnet50-training-on-mnist-transfer-learning", "kernel_id": "74758979"}, {"ref": "zyh1104/digit-recognizer-sequential", "kernel_id": "74369495"}, {"ref": "amitsubhashchejara/svm-classifier-on-mnist-using-one-versus-all", "kernel_id": "74440842"}, {"ref": "pafonso/urlnet-phishing-url-detection", "kernel_id": "74876073"}, {"ref": "dhahbeouimeriem11/projet-cnn-2025", "kernel_id": "74605923"}, {"ref": "shitichowdhury/digit-recognizer-cnn-accuracy-99", "kernel_id": "74918043"}, {"ref": "safaladhikari9x/gan-dl", "kernel_id": "74936661"}, {"ref": "scientificstephen/digit-recognizer", "kernel_id": "74105664"}, {"ref": "amankumarprajapatii/simple-nn-from-scratch", "kernel_id": "74715081"}, {"ref": "misbacodes/digit-recognizer-w-logistic-regreression-scratch", "kernel_id": "74729226"}, {"ref": "jayant445/pca-demo-1", "kernel_id": "74966578"}, {"ref": "anuragsingh23110035/vision-transformer-attacks", "kernel_id": "74892409"}, {"ref": "phiduyanh/digit-recognizer-tensorflow-cnn", "kernel_id": "74851127"}, {"ref": "vrajesh0sharma7/ml-meets-mnist", "kernel_id": "74919342"}, {"ref": "srivatchangv/decision-tree", "kernel_id": "74256216"}, {"ref": "dziobex/mnist-digit-recognition-cnn", "kernel_id": "74090812"}, {"ref": "kushubhai/notebook383df3cda0", "kernel_id": "74947093"}, {"ref": "nmtclone/bigru-mnist", "kernel_id": "74800069"}, {"ref": "cesarefaccio/simple-torch-mnist-viz", "kernel_id": "74335195"}, {"ref": "nainabhalla24/mnist-using-random-forest", "kernel_id": "74285028"}, {"ref": "jaouadechchaouy1/ai-lab-7-069e59", "kernel_id": "74916208"}, {"ref": "himnish001/crypto-dashboard", "kernel_id": "74051987"}, {"ref": "bmhall79/digit-recog", "kernel_id": "74726656"}, {"ref": "filesrif/cnn-keras", "kernel_id": "74204848"}, {"ref": "parthhkothari/neural-network-from-scratch", "kernel_id": "74030721"}, {"ref": "cyrinemseddi111/projet-deeplearning", "kernel_id": "74631334"}, {"ref": "kamauedwingithinji/kaggle-1", "kernel_id": "74418178"}, {"ref": "andrewdng/my-practice-neural-network", "kernel_id": "74527883"}, {"ref": "neculageorge/hand-written-digit-recognition-using-mnist-dataset", "kernel_id": "74968900"}, {"ref": "tashyab/implementing-cnn-from-scratch-w-just-numpy", "kernel_id": "75184118"}, {"ref": "tashyab/digits-recognition-with-99-9-accuracy-torch", "kernel_id": "75601781"}, {"ref": "everythingcanbedone/mnist-digit-torch-cnn", "kernel_id": "75345877"}, {"ref": "purveshsohony/ann-mnist", "kernel_id": "75440814"}, {"ref": "basilejezequel/basic-cnn-for-mnist-in-tensorflow", "kernel_id": "75465595"}, {"ref": "basilejezequel/basic-cnn-for-mnist-in-pytorch", "kernel_id": "75470856"}, {"ref": "wojciechgrotkiewicz/convolutional-neural-networks-digit-recognizer", "kernel_id": "75453058"}, {"ref": "blackdragonk333/mnist-digit-classifier-competition", "kernel_id": "75214172"}, {"ref": "blackdragonk333/digit-recognizer-finding-best-models", "kernel_id": "75273877"}, {"ref": "daksh786/pca-steps", "kernel_id": "75273816"}, {"ref": "sklpsingh/mnist-dataset", "kernel_id": "75813999"}, {"ref": "belalomran/handwritten-digit-recognition-using-tensorflow", "kernel_id": "75452066"}, {"ref": "oliverchamberlain/digit-recognition-2025", "kernel_id": "75424460"}, {"ref": "ganeshreddy0616/digit-classification-cnn-conv2d-pooling-dropout", "kernel_id": "75697463"}, {"ref": "n00bcak/mnist-supervised-dl", "kernel_id": "75904970"}, {"ref": "meetgoti07/practical-5", "kernel_id": "75838244"}, {"ref": "stephenzyh/variatianalautoencoder-pytorch", "kernel_id": "75234920"}, {"ref": "kaustubh2k5/ml-exercise-3-neural-network", "kernel_id": "75984665"}, {"ref": "umutalkn/mnist-digit-recognition-98-accuracy-with-cnn", "kernel_id": "75606340"}, {"ref": "hskha23/bigru-mnist", "kernel_id": "75146139"}, {"ref": "divyanshmanhas/notebookfa4c8dded3", "kernel_id": "75026026"}, {"ref": "sumit2garg/digits-recognizer-prediction", "kernel_id": "75796910"}, {"ref": "omarashraf3/digit-recognizer", "kernel_id": "75421239"}, {"ref": "srinivasaraobittla/digits-mnist-classification-using-cnn", "kernel_id": "75371466"}, {"ref": "aadarshvani/principal-component-analysis-on-mnist-dataset", "kernel_id": "75252763"}, {"ref": "sadriwala/mnist-classification", "kernel_id": "75243112"}, {"ref": "mrbudd/mnist-classifier", "kernel_id": "75169805"}, {"ref": "serhiiyanovskii1/best-sol", "kernel_id": "75526391"}, {"ref": "rahulg12911/handwrittern-digit-classfier", "kernel_id": "75496401"}, {"ref": "alperhakl/digits-recognizer-prediction-95-acc-rate", "kernel_id": "75638592"}, {"ref": "tanishjain0604/digit-recogniser", "kernel_id": "75516081"}, {"ref": "suyash0707/introduction-to-cnn-keras-0-997-top-6", "kernel_id": "75142220"}, {"ref": "ibrahimnibrahim/digit-recognizer-cnn-val-acc-100", "kernel_id": "75502843"}, {"ref": "shiva2416/digit-rec", "kernel_id": "75492400"}, {"ref": "hassanmuhammed1/digit-recognizer", "kernel_id": "75515522"}, {"ref": "gogadaharshavardhan/pca-beginner-implementation", "kernel_id": "75086759"}, {"ref": "nadejong/mnist-digit-classification-using-keras", "kernel_id": "75094338"}, {"ref": "chowdhuryadithi/machine-learning-models-with-gradient-descent-tech", "kernel_id": "75296668"}, {"ref": "sg2006/neural-network-from-scratch-using-numpy-and-math", "kernel_id": "75207659"}, {"ref": "martinhoffmannrdf/convolutional-neural-network-cnn-tutorial", "kernel_id": "75387542"}, {"ref": "fredycabrera/neural-network-v2", "kernel_id": "75598402"}, {"ref": "adityamsingh/pca-demo1", "kernel_id": "75139629"}, {"ref": "ernestvalvenyllobet/implementaci-n-de-una-red-neuronal", "kernel_id": "75627483"}, {"ref": "xalbertd/mnist-mlp-neural-network", "kernel_id": "75786827"}, {"ref": "ratneshdawar/mnist-simple-ann-beginner", "kernel_id": "75874779"}, {"ref": "ahmadhassan061/lec8-fastai", "kernel_id": "76643747"}, {"ref": "selcukcan/ml-3-6-fish-classification-task", "kernel_id": "76614325"}, {"ref": "swatipandey503/mnist-pytorch-ann-cnn", "kernel_id": "76462927"}, {"ref": "nicholaspellegrin/digit-classifier-98-6acc-torch-no-ext-dataset", "kernel_id": "76614172"}, {"ref": "masayakawamata/transformer-for-mnist", "kernel_id": "76141164"}, {"ref": "masayakawamata/simple-code-resnet-pytorch", "kernel_id": "76825545"}, {"ref": "ohagwucollinspatrick/perceptron-algorithm-with-numpy-on-mnist-images", "kernel_id": "76760416"}, {"ref": "belalomran/mnist-digit-recognition0-1-2-cnn-99-9", "kernel_id": "76067190"}, {"ref": "edwardbickerton/digit-recognizer", "kernel_id": "76308478"}, {"ref": "gauravsaroha/high-accuracy-updated-recognizer", "kernel_id": "76790388"}, {"ref": "vcode1509/dst-model", "kernel_id": "76176973"}, {"ref": "ruban1015/nn-from-scratch", "kernel_id": "76315283"}, {"ref": "prateekmhatre/dl-practise", "kernel_id": "76823231"}, {"ref": "n00bcak/baby-s-first-mnist-attempts-12-02-25", "kernel_id": "76318352"}, {"ref": "ayamamdouhh/digit-recognizer-multiclassification-nn", "kernel_id": "76668329"}, {"ref": "eliasproger/mnist-via-pytorch-conv", "kernel_id": "76799164"}, {"ref": "michaelpjankov/etu-dd-mnist", "kernel_id": "76026048"}, {"ref": "youknowjp/cnn-from-scratch", "kernel_id": "76648838"}, {"ref": "abdulrahmanmohammed3/mnist-simple-cnn-keras", "kernel_id": "76623338"}, {"ref": "ektaaaaa/pca-demo", "kernel_id": "76382692"}, {"ref": "katherill/timo1", "kernel_id": "76706908"}, {"ref": "yanplayz08/digit-recognition-97-accuracy", "kernel_id": "76909417"}, {"ref": "robottticsss/nnmnist", "kernel_id": "76136469"}, {"ref": "karimtawfik/handwritten-digit-recognizer", "kernel_id": "76250805"}, {"ref": "muhammadaiesh/digit-recognizer-mnist", "kernel_id": "76324846"}, {"ref": "thomassesame/digit-recognizer-1-pytorch", "kernel_id": "76464022"}, {"ref": "stillnotred/ai-project", "kernel_id": "76878772"}, {"ref": "tanishtaywade/digital-recognizer-acc-85-26", "kernel_id": "76548238"}, {"ref": "tmastliu/the-road-to-kaggle-competitions-from-scratch", "kernel_id": "76976619"}, {"ref": "iyuviiiiiii27/classification-metric-for-multi", "kernel_id": "76712382"}, {"ref": "iyuviiiiiii27/softmax-regression", "kernel_id": "76822615"}, {"ref": "soethandar/csc532-256-mnist-chatgpt", "kernel_id": "76426069"}, {"ref": "himasnhuat/mnist-custom-neuralnet", "kernel_id": "76594377"}, {"ref": "mounirbh/rec11", "kernel_id": "76408637"}, {"ref": "aashuraj001/mnist", "kernel_id": "76102941"}, {"ref": "akashanandani/digit-detect", "kernel_id": "76720212"}, {"ref": "khinkaungsanthutun/csc532-253svm-and-pca-in-sklearn", "kernel_id": "76427481"}, {"ref": "hngnguyntrangdim/nh-n-d-ng-ch-s-vi-t-tay-b-ng-cnn", "kernel_id": "76456576"}, {"ref": "dda2k6/digit-recogniser", "kernel_id": "76108712"}, {"ref": "xleepy/mnist-digit-recognition", "kernel_id": "76303263"}, {"ref": "santipabsanmad/digit-recognition-using-cnn-keras-464-465", "kernel_id": "76603798"}, {"ref": "rememberful/notebook121f3a79d6", "kernel_id": "76951491"}, {"ref": "jhenweiwu/digit-recognizer-practice", "kernel_id": "76565430"}, {"ref": "priyadarshankarnati/mnist-digit-recognizer", "kernel_id": "76249073"}, {"ref": "stpeteishii/mnist-image-dqn-prediction", "kernel_id": "77171853"}, {"ref": "stpeteishii/mnist-tabular-data-dqn-prediction", "kernel_id": "77441206"}, {"ref": "kasikritd/digit-recognition-using-cnn-keras-kasikrit", "kernel_id": "77159129"}, {"ref": "shoaib03339770257/hand-written-digit-recognition-using-mnist-dataset", "kernel_id": "77969778"}, {"ref": "untitleddocument/ground-up-digit-recognizer-neural-network", "kernel_id": "77571822"}, {"ref": "holdengs/tiny-mnist-classifier", "kernel_id": "77828955"}, {"ref": "yamakeeee/fix-univ", "kernel_id": "77809666"}, {"ref": "bestealtiner/logisticregression-ann-cnn-homework", "kernel_id": "77660627"}, {"ref": "bestealtiner/recurrent-neural-network-rnn", "kernel_id": "77881822"}, {"ref": "bestealtiner/lstm-long-short-term-memory-with-pytorch", "kernel_id": "77898277"}, {"ref": "ngochoangtran1992/cnn-models-hoangtn-ai1801", "kernel_id": "77288632"}, {"ref": "ameniayedi/digit-recognizer", "kernel_id": "77204351"}, {"ref": "basilejezequel/image-generation-with-vae-pytorch", "kernel_id": "77392683"}, {"ref": "masayakawamata/mnist-cnn-vit", "kernel_id": "77788266"}, {"ref": "akumagrey/handwritten-digit-recogniser-mnsit", "kernel_id": "77182241"}, {"ref": "abdelrahmanbadr88/notebook822a0dd1dd", "kernel_id": "77446317"}, {"ref": "anmuser/digit-recognizer-rf", "kernel_id": "77723772"}, {"ref": "piotrpowroznik/digits-recognizer-keras", "kernel_id": "77943156"}, {"ref": "koabou/cnn-models-hoangtn-ai1801", "kernel_id": "77301303"}, {"ref": "amjadkhaliliah/digits-by-amjad", "kernel_id": "77521168"}, {"ref": "liliiashrainer/digit-recognition-model-softmax-competition", "kernel_id": "77063460"}, {"ref": "abdallaellaithy/neural-network-from-scratch-step-by-step-tutorial", "kernel_id": "77324290"}, {"ref": "surawutkittikaiwan/digit-recognition-using-cnn-pytorch", "kernel_id": "77306254"}, {"ref": "rezaghanbariadivi/digit-recognizer-pytorch", "kernel_id": "77114482"}, {"ref": "jakubkmn/mnist-competition-notebook", "kernel_id": "77821255"}, {"ref": "tadktthai/pytorch-basics", "kernel_id": "77642001"}, {"ref": "lakshaykahai/digit-recognizer-using-deep-learning", "kernel_id": "77659506"}, {"ref": "motaweamohammed/digit-recognizer", "kernel_id": "77185449"}, {"ref": "abdallah11/simple-cnn-with-score-0-98878", "kernel_id": "77264482"}, {"ref": "daofoah/cnn-models-hoangtn-ai1801", "kernel_id": "77301138"}, {"ref": "phnghunh2704/cnn-models-hoangtn-ai1801-phuong", "kernel_id": "77361385"}, {"ref": "hosanchau/cnn-dr", "kernel_id": "77161442"}, {"ref": "trinhnguyen24/cnn-models-trinknkce182226-ai1801", "kernel_id": "77363509"}, {"ref": "saddasdaasda/digit-recognizer1", "kernel_id": "77798120"}, {"ref": "sdfnmghj/digit-recog-using-pca", "kernel_id": "77643848"}, {"ref": "parastak/mnist-from-scratch", "kernel_id": "77598381"}, {"ref": "iyuviiiiiii27/feature-importance", "kernel_id": "77849067"}, {"ref": "suleymanertekin/digitrecognizer", "kernel_id": "77584269"}, {"ref": "rsbit30/digit-recognizer", "kernel_id": "77230533"}, {"ref": "lizk75/mnist-cnn-model-98", "kernel_id": "77965110"}, {"ref": "aman2626786/principle-component-analysis-full-process", "kernel_id": "77162635"}, {"ref": "lyudmylakaluzhynova/digit-recognizer-with-pytorch", "kernel_id": "77814440"}, {"ref": "bhaveshyelekar01/principle-component-analysis-feature-reduction", "kernel_id": "77439587"}, {"ref": "bhaveshyelekar01/using-pca-and-visualising", "kernel_id": "77448756"}, {"ref": "sumelahmad/digit-recognizer", "kernel_id": "77993131"}, {"ref": "jvkousthub/mnist-nn-from-scratch-without-tf-keras", "kernel_id": "77708937"}, {"ref": "neerapatchalearmsri/digit-recognition-using-cnn-6710210429", "kernel_id": "77609770"}, {"ref": "sorasitnakyim/digit-recognition-using-cnn-keras-464-465", "kernel_id": "77585339"}, {"ref": "damianvtran/local-operator-mnist-digits-auto-ml-99-3", "kernel_id": "77493579"}, {"ref": "juneauxmaeder/numberros-ariba", "kernel_id": "77625357"}, {"ref": "sherifzabel/hand-written-cnn", "kernel_id": "77757610"}, {"ref": "edwardarubin/start-cifar", "kernel_id": "78387184"}, {"ref": "ffaraz/using-clustering-for-digit-recognition-mnist", "kernel_id": "78223142"}, {"ref": "nurlanyan/pytorch-gan-basic-tutorial-for-beginner", "kernel_id": "78802629"}, {"ref": "raoaliarmaghan/deep-learning-1", "kernel_id": "78063840"}, {"ref": "faizanaliabdulali/dlp-assignment-2", "kernel_id": "78807825"}, {"ref": "monarchuwu/mnist-cuda", "kernel_id": "78717128"}, {"ref": "wiktoria0209/mnist-dataset-digit-recognizer", "kernel_id": "78683140"}, {"ref": "shutovalexey/mnist-knn", "kernel_id": "78737180"}, {"ref": "shutovalexey/mnist-xgboost", "kernel_id": "78746197"}, {"ref": "shutovalexey/mnist-log-reg", "kernel_id": "78521786"}, {"ref": "prabhjitsingh2401/digit-classifier", "kernel_id": "78699211"}, {"ref": "skylerjordan/digitrecog", "kernel_id": "78657356"}, {"ref": "purveshsohony/resnet-for-mnist", "kernel_id": "78287678"}, {"ref": "alyalsayed/handwritten-digit-recognition-with-pytorch", "kernel_id": "78145933"}, {"ref": "basilejezequel/image-generation-with-gan-pytorch", "kernel_id": "78140392"}, {"ref": "teddy1804/cnn-introduction", "kernel_id": "78836466"}, {"ref": "loclaffineur/digit-recognizer-cnn", "kernel_id": "78034807"}, {"ref": "aastha2004singh/exp-6-dl", "kernel_id": "78345879"}, {"ref": "haithamelmekaoui/digit-recognizer-with-k-n-n-and-external-data", "kernel_id": "78151493"}, {"ref": "prasanna2r/mnist-digit-class", "kernel_id": "78686059"}, {"ref": "arnoldoduor/neural-net-from-scratch-numpy", "kernel_id": "78293577"}, {"ref": "bairuigong/s-v-m", "kernel_id": "78667657"}, {"ref": "shuvokumarbasak4004/digit4004", "kernel_id": "78244270"}, {"ref": "pulkittarora/shap-explainable-ai", "kernel_id": "78865649"}, {"ref": "abdelhakkana/digit-recognizer-98-accuracy", "kernel_id": "78625884"}, {"ref": "abhishekallaboina/w1-cnns-with-pytorch", "kernel_id": "78451936"}, {"ref": "srikanthgunja/digitsusingrandomforest", "kernel_id": "78061917"}, {"ref": "mouadenna/computer-vision-101", "kernel_id": "78882516"}, {"ref": "hemachandrak/mlp-mnist", "kernel_id": "78096768"}, {"ref": "alexandrelemercier/resources-for-image-dataset-augmentation", "kernel_id": "78885189"}, {"ref": "duriangarcia/exploring-deep-neural-networks-using-keras", "kernel_id": "78826915"}, {"ref": "antonoof/99-3-easy-torch-mirea-task", "kernel_id": "78151697"}, {"ref": "shubhranshiagarwal/digit-recognizer", "kernel_id": "78523121"}, {"ref": "olena4564/cnn-for-mnist", "kernel_id": "78812938"}, {"ref": "tirth1149/notebook1d7b010a4a", "kernel_id": "78402409"}, {"ref": "harikrushnagoti/sentiment-analysis-with-gru", "kernel_id": "78112937"}, {"ref": "harikrushnagoti/word2vec-implementation", "kernel_id": "78109220"}, {"ref": "atharvasoundankar/digit-recognizer-1", "kernel_id": "78165578"}, {"ref": "mirzanasrullah/pca-on-mnist-data", "kernel_id": "78727232"}, {"ref": "jatayu000/mlassignment01", "kernel_id": "78788676"}, {"ref": "rohitsingh6101/pca-demo", "kernel_id": "78342934"}, {"ref": "jnvibhrdwj/mnist", "kernel_id": "78963793"}, {"ref": "snekhasv/7-cnn-handwritten-digit-recognition", "kernel_id": "78942708"}, {"ref": "sayanganguly72/mnist-dataset-prediction", "kernel_id": "78738384"}, {"ref": "phiduyanh/digit-recognizer-simple-pytorch", "kernel_id": "78714280"}, {"ref": "muqingyu666/cbam-se-residuals-my-showoff-recipe", "kernel_id": "78723737"}, {"ref": "muqingyu666/multi-block-cnn-dynamic-learning-rate", "kernel_id": "78664494"}, {"ref": "salehahmedsaleh/simple-cnn-with-score-0-93", "kernel_id": "78188849"}, {"ref": "lumingfie/digti-cognizer", "kernel_id": "78932889"}, {"ref": "priyansh7iitd11/digit-classifier-cnn", "kernel_id": "78668949"}, {"ref": "ar1tr0/ml-march-algorithms", "kernel_id": "78478199"}, {"ref": "s1lent21/dlp-assignment-02-cnn", "kernel_id": "78678988"}, {"ref": "ocearobertsthompson/neural-net-project-ec524", "kernel_id": "78387209"}, {"ref": "usmanabbasi2002/mnist-dataset", "kernel_id": "78174469"}, {"ref": "eminaanapaydn/digit-prediction", "kernel_id": "78206151"}, {"ref": "bedirhankeser/convolutional-neural-network-cnn", "kernel_id": "78746740"}, {"ref": "darianmirandaolivas/convolutional-neural-networks-r-code-example", "kernel_id": "78462563"}, {"ref": "nouhidsiddiqui/mnist-numpy-nn", "kernel_id": "78732892"}, {"ref": "coderkr/digit-recognizer", "kernel_id": "78838761"}, {"ref": "ahmetyt380/notebook58013f5f55", "kernel_id": "78649906"}, {"ref": "kirthibagrechajain/simple-mnist-from-scratch-optimized-93-accurate", "kernel_id": "78718407"}, {"ref": "anieroseirawati/notebook2bbbf51855", "kernel_id": "78687711"}, {"ref": "andandand/lenet5-digit-recognition", "kernel_id": "79301970"}, {"ref": "khalilboumalala/projet-deeplearning", "kernel_id": "79654718"}, {"ref": "gabrielcabas/image-generation-using-pca", "kernel_id": "79937397"}, {"ref": "sc0v1n0/dp-i-cnn", "kernel_id": "79063449"}, {"ref": "nisansher/digit-recognizer-only-linear-algebra-score-82", "kernel_id": "79583205"}, {"ref": "daltongabrielomondi/25-million-images-0-99757-mnist", "kernel_id": "79910005"}, {"ref": "alexandrelemercier/generating-the-400k-augmented-mnist-dataset", "kernel_id": "79241397"}, {"ref": "alexandrelemercier/package-resources-for-image-dataset-augmentation", "kernel_id": "79241949"}, {"ref": "alexandrelemercier/generating-the-60k-augmented-chest-x-ray-dataset", "kernel_id": "79682926"}, {"ref": "darshanjajoria/mnist-kaggle-competition-cnn", "kernel_id": "79690197"}, {"ref": "priyanshupadhi/digit-recogniser-s040", "kernel_id": "79740062"}, {"ref": "leila413y/digit-recognizer-logistic-regression-cnn", "kernel_id": "79268441"}, {"ref": "ompanpatil12/compet-mnist-nn-from-scratch-numpy-no-tf-keras-c", "kernel_id": "79584837"}, {"ref": "jayavishal/hand-digit-recognition", "kernel_id": "79118240"}, {"ref": "aditya2134/neural-network-from-scratch", "kernel_id": "79799705"}, {"ref": "aditya2134/neural-network-with-tensor-flow", "kernel_id": "79892396"}, {"ref": "moizpasha/digitrecognizer-twohiddenlayers", "kernel_id": "79375591"}, {"ref": "cpvnidhinp/digit-recognizer-cnn-keras-99", "kernel_id": "79454073"}, {"ref": "mohamedshoaib25/digit-recognizer-cnn-with-keras", "kernel_id": "79445316"}, {"ref": "samuelvangu/naive-bayes-classifier", "kernel_id": "79430803"}, {"ref": "fahadabid545/pca-implementaion", "kernel_id": "79320729"}, {"ref": "racoonpratapsingh/digit-recognizer", "kernel_id": "79035018"}, {"ref": "shlokkumar2303/digit-recog-w-tf", "kernel_id": "79803152"}, {"ref": "jacksongee/mnist-uwa-ai-club-notebook", "kernel_id": "79436273"}, {"ref": "rinfra90/digit-recognizer-simple-mlp-model", "kernel_id": "79685802"}, {"ref": "anubhabsaha1000/numberclassification", "kernel_id": "79635486"}, {"ref": "nisargpatelk/style-transfer", "kernel_id": "79152698"}, {"ref": "natehuanghao/numpy", "kernel_id": "79255890"}, {"ref": "inarathussain/notebook2b46aedf22", "kernel_id": "79465424"}, {"ref": "clairegraham01/digit-recognition-notebook-claire-graham", "kernel_id": "79771330"}, {"ref": "andandand/scratchpad-lenet-5-digit-recognizer", "kernel_id": "80210037"}, {"ref": "ackien/sequential-mnist", "kernel_id": "80777895"}, {"ref": "carlosmatos97/triplet-loss-with-pytorch-using-transferlearning", "kernel_id": "80937899"}, {"ref": "deva0703/pca-mnist", "kernel_id": "80188731"}, {"ref": "rlakshminarayanan/neural-network-from-scratch-using-numpy", "kernel_id": "80372353"}, {"ref": "raedaddala/deep-learning-3-lab-1-cnn-pytorch-example", "kernel_id": "80899748"}, {"ref": "crabtrap/aditya-patel-ndlinear-digit-recognizer", "kernel_id": "80721106"}, {"ref": "azharsaleem/handwritten-digit-recognition-cnn-masterpiece", "kernel_id": "80339631"}, {"ref": "rajamanasa1904/digit-recognizer-cnn-datagen", "kernel_id": "80737520"}, {"ref": "shivkkkk/digit-reco", "kernel_id": "80615214"}, {"ref": "subhranilnandy/mnist-digit-recognizer-using-cnn", "kernel_id": "80524722"}, {"ref": "wangyiyiyiqing/lenet5-vggnet-and-resnet-with-tf-on-mnist-data", "kernel_id": "80257341"}, {"ref": "anupampaul005/digit-classifier-comp", "kernel_id": "80440838"}, {"ref": "shrushtikaza/nn-from-scratch", "kernel_id": "80723674"}, {"ref": "egekemalkaraca/lamc-yhp", "kernel_id": "80916583"}, {"ref": "jonnester/nn-from-zero", "kernel_id": "80820390"}, {"ref": "kapiljangir13/num-train", "kernel_id": "80272039"}, {"ref": "abdelrahmanalaa135/digit-recognizer", "kernel_id": "80794002"}, {"ref": "cpvnidhinp/digit-recognition-0-9948-accuracy", "kernel_id": "80089381"}, {"ref": "aleeakbar/handwritten-digit-recognition-ml-approach", "kernel_id": "80768327"}, {"ref": "lamkiet/digit-recognizer-pytorch", "kernel_id": "80952845"}, {"ref": "singhsahej/digit-recognizer", "kernel_id": "80322230"}, {"ref": "mehrankhani/mnist-digit-recognition-using-cnn-keras", "kernel_id": "80290590"}, {"ref": "guidohe/digitrecognizercompetition", "kernel_id": "80401539"}, {"ref": "israfilarnob/minst-comp", "kernel_id": "80277108"}, {"ref": "galaxyo1/no-neural-network-0-97903", "kernel_id": "80950026"}, {"ref": "saminmahmood/notebookf5c3fde747", "kernel_id": "80025518"}, {"ref": "mianiqbal/basic-with-instructions", "kernel_id": "80025520"}, {"ref": "khalidnadeem/nn4mnist-basic-with-instructions", "kernel_id": "80025532"}, {"ref": "aaronscott2025/neural-network-demo", "kernel_id": "80025523"}, {"ref": "ferdt4/csc467-mod8-lab", "kernel_id": "80025524"}, {"ref": "afaqwaris/notebook343e8f0028", "kernel_id": "80025613"}, {"ref": "relxsh/mnist-from-scratch", "kernel_id": "80060603"}, {"ref": "dexterxiao/digit-recognizer", "kernel_id": "80838179"}, {"ref": "ricakim/digit-recognition-convolution-imgdatagenerator", "kernel_id": "80920322"}, {"ref": "ulisesandradegonzlez/digit-recognizer", "kernel_id": "80253407"}, {"ref": "zhenghanyue/dsml-02-38", "kernel_id": "80551374"}, {"ref": "winstymintie/vit-cifar10", "kernel_id": "80329964"}, {"ref": "leeoflee/number", "kernel_id": "80947467"}, {"ref": "weizhezhang/notebooke5e5240b36", "kernel_id": "81211680"}, {"ref": "fizcogar/intro-ia-3-0-dl-imagen-clasificacion-1", "kernel_id": "81695904"}, {"ref": "fizcogar/intro-ia-3-0-dl-imagen-clasificacion-2", "kernel_id": "81831674"}, {"ref": "mayankgbrc/digitrecognition-cnn-99-24", "kernel_id": "81644969"}, {"ref": "kumarkatariya/digit-recognizer-cnn-deep-learning-model", "kernel_id": "81413345"}, {"ref": "catadanna/cnn-hexagone-j2", "kernel_id": "81092888"}, {"ref": "catadanna/cnn-hexagone-j1", "kernel_id": "81045720"}, {"ref": "ra1711003030107/implementing-nn-s-from-scratch", "kernel_id": "81904404"}, {"ref": "tanmayapisal/tanmaya-mnist-digitrecognizer", "kernel_id": "81730057"}, {"ref": "quctrungnguyn/digit-recognizer", "kernel_id": "81585959"}, {"ref": "westranger/digit-recognizer-solution", "kernel_id": "81846531"}, {"ref": "audricsabatier/cnn-hexagone-j2", "kernel_id": "81093679"}, {"ref": "audricsabatier/cnn-hexagone-j1", "kernel_id": "81046773"}, {"ref": "jaswanthsunkara1122/the-curse-of-dimensionality-dimension-reduction", "kernel_id": "81230037"}, {"ref": "abadlibadreddine/convolutional-neural-network-cnn-tutorial", "kernel_id": "81949847"}, {"ref": "nandikaagrawal/digit-classification", "kernel_id": "81249950"}, {"ref": "dimitrimondzola/cnn-hexagone-j1", "kernel_id": "81046678"}, {"ref": "prithvirajjadhav/notebook7be6f0af7e", "kernel_id": "81025190"}, {"ref": "wahab0789/convolutional-neural-network-cnn-tutorial", "kernel_id": "81646733"}, {"ref": "hosnyabdullahmohamed/digits-98", "kernel_id": "81384674"}, {"ref": "ismailaliahmed/digit-recognizer-notebook", "kernel_id": "81943348"}, {"ref": "sadscientist32/ml-sem6", "kernel_id": "81859107"}, {"ref": "roshanharip/neural-network", "kernel_id": "81067791"}, {"ref": "azopss/cnn-hexagone-j1", "kernel_id": "81046550"}, {"ref": "azopss/cnn-hexagone-j2", "kernel_id": "81093931"}, {"ref": "leonardovo/digits", "kernel_id": "81957878"}, {"ref": "karan2718/mnist-proj", "kernel_id": "81772561"}, {"ref": "rudraprasadbhuyan/principal-component-analysis-knn", "kernel_id": "81485703"}, {"ref": "mohamedbassat/neural-network-from-scratch", "kernel_id": "81231733"}, {"ref": "minggyul/digit-recognizer-using-cnn", "kernel_id": "81496347"}, {"ref": "minggyul/digit-recognizer-using-random-forest", "kernel_id": "81497834"}, {"ref": "alexis1663/cnn-hexagone-j2", "kernel_id": "81093613"}, {"ref": "alexis1663/cnn-hexagone-j1", "kernel_id": "81046733"}, {"ref": "jonnester/nn-using-numpy", "kernel_id": "81108907"}, {"ref": "raj110/tensorflow-mnist", "kernel_id": "81003379"}, {"ref": "giakhanhlvc/cv-practice", "kernel_id": "81465368"}, {"ref": "rokayyaalyhosny/mnist-nn-from-scratch", "kernel_id": "81588824"}, {"ref": "andreiglushenko/lab1-mnist", "kernel_id": "81040764"}, {"ref": "anasemadmousa/neural-network-from-scratch-mnist", "kernel_id": "81166115"}, {"ref": "attrideszhang/digit-recognizer-lenet-baseline", "kernel_id": "81580690"}, {"ref": "harios/cv-helloworld", "kernel_id": "81554135"}, {"ref": "ducnguyenttt/notebookc00e8131eb", "kernel_id": "81911286"}, {"ref": "kamilagrniak/mnist-dataset", "kernel_id": "81873958"}, {"ref": "skaricheti/digit-recognizer-beginner-friendly", "kernel_id": "81944672"}, {"ref": "henrymccarty/digit-recognizer", "kernel_id": "81808150"}, {"ref": "msdivya44/digit-recognizer", "kernel_id": "81902335"}, {"ref": "samytabayem/cnn-hexagone-j2", "kernel_id": "81097261"}, {"ref": "samytabayem/cnn-hexagone-j1", "kernel_id": "81047679"}, {"ref": "hugorochellespam/cnn-hexagone-j1", "kernel_id": "81046493"}, {"ref": "hugorochellespam/cnn-hexagone-j2", "kernel_id": "81093614"}, {"ref": "kylian123/cnn-hexagone-j2", "kernel_id": "81095131"}, {"ref": "kylian123/cnn-hexagone-j1", "kernel_id": "81047256"}, {"ref": "muhammedeminsarihan/notebookb3fcfc9d01", "kernel_id": "81350092"}, {"ref": "shrekai/my-digit-recognizer", "kernel_id": "81441265"}, {"ref": "nielco/digit-recognizer", "kernel_id": "81737695"}, {"ref": "nielco/digit-recognizer2", "kernel_id": "81903859"}, {"ref": "vedrakholia/mnist-from-scratch", "kernel_id": "81399062"}, {"ref": "kantasaito/nn-from-scratch-mnist", "kernel_id": "81013704"}, {"ref": "sillujones/digit-recognizer-my-notebook", "kernel_id": "81946594"}, {"ref": "israkkayum/play-with-pca", "kernel_id": "81825264"}, {"ref": "kishlayambastha/pca-digit-recognis-using-knn-basics", "kernel_id": "81214725"}, {"ref": "mahagamelsid/mnist-digit-recognition-nn", "kernel_id": "81049447"}, {"ref": "batyrpro/cnn-digit", "kernel_id": "81976397"}, {"ref": "arvidbrgeson/notebook21d616126a", "kernel_id": "81237646"}, {"ref": "jklein25/nn-project", "kernel_id": "81317311"}, {"ref": "akabakakag/mnist-pure-math", "kernel_id": "81550656"}, {"ref": "andandand/lenet5-wandb-experiment-tracking", "kernel_id": "82334504"}, {"ref": "andandand/scratchpad-digit-recognition", "kernel_id": "82547163"}, {"ref": "hadimaster/pca-vs-t-sne-vs-umap-vs-trimap-vs-pacmap", "kernel_id": "82758467"}, {"ref": "fizcogar/intro-ia-3-0-dl-imagen-clasificacion-3", "kernel_id": "82098320"}, {"ref": "tkoyama010/notebook42ff57dda0", "kernel_id": "82106747"}, {"ref": "huyhuynhhoang/mnist-digit-alphabets-recognizer", "kernel_id": "82003527"}, {"ref": "yerassylabylkassym/cnn-nn", "kernel_id": "82187678"}, {"ref": "ahmedelsany/mnist-digit-classification-a-beginner-s-guide", "kernel_id": "82738241"}, {"ref": "gouravgulia/softmaxmnist", "kernel_id": "82608728"}, {"ref": "siddddd17/2-layer-nueral-network-from-scratch", "kernel_id": "82660209"}, {"ref": "twobitpng/introduction-to-cnn-keras-0-997-top-6-0b5e97", "kernel_id": "82716390"}, {"ref": "irakizadidier/ai-lab-7", "kernel_id": "82883246"}, {"ref": "jorjo2009/cvae-digits", "kernel_id": "82359461"}, {"ref": "raedaddala/digit-recognizer-pytorch-cnn-models-score-0-99296", "kernel_id": "82637086"}, {"ref": "elsaeedelbaz/digit-classification-using-cnn", "kernel_id": "82091186"}, {"ref": "mugdhasandipkulkarni/mnist-case-study", "kernel_id": "82156656"}, {"ref": "mkastekin/mnist-cnn", "kernel_id": "82974547"}, {"ref": "chillix/resnet-training-respa", "kernel_id": "82131333"}, {"ref": "evrardle/digitrecognizerv2", "kernel_id": "82102097"}, {"ref": "muskantariq/pca-demo", "kernel_id": "82675216"}, {"ref": "alperugurca/digitrecognizer", "kernel_id": "82620900"}, {"ref": "joe074/ffnn-pro", "kernel_id": "82354245"}, {"ref": "ayushraj911/neural-network-using-numpy", "kernel_id": "82746450"}, {"ref": "adarsharimal7/pca-on-mnist", "kernel_id": "82027525"}, {"ref": "yadavabhishekz/mnist-digit-recognition", "kernel_id": "82628060"}, {"ref": "ebrahim25/mnist-dataset-digit-recognizer", "kernel_id": "82316266"}, {"ref": "loktungchanc/digit-recognizer", "kernel_id": "82773188"}, {"ref": "mirzashahbazalibaig/pca-demo", "kernel_id": "82382873"}, {"ref": "matintofighi/digit-recognizer-with-pytorch", "kernel_id": "82040239"}, {"ref": "canozensoy/getting-started-digit-recognizer", "kernel_id": "82466140"}, {"ref": "randomniebukvi/resnet-training-respa", "kernel_id": "82133633"}, {"ref": "mahmoudwalid1/written-number-prediction", "kernel_id": "82416344"}, {"ref": "gurinayatkaurmangat/convolutional-neural-network-cnn-tutorial", "kernel_id": "82139442"}, {"ref": "mennlouie/cnn-catdog", "kernel_id": "82939795"}, {"ref": "fardiabdullazade/ai-lab-7", "kernel_id": "82883423"}, {"ref": "rafaelrahimli/ai-lab-7", "kernel_id": "82883819"}, {"ref": "ugurozbiberci/digit-recognizerr", "kernel_id": "82008148"}, {"ref": "batyrpro/digit-recognizer-resnet", "kernel_id": "82096724"}, {"ref": "muhammadaliasghar01/digit-recognition-neural-network", "kernel_id": "82182317"}, {"ref": "featherlessbipod/mnist-h-n", "kernel_id": "82527864"}, {"ref": "shadowsalone/mnist-pytorch-recode", "kernel_id": "82466308"}, {"ref": "aaaldx/mnist-with-pytorch", "kernel_id": "82466456"}, {"ref": "kongbai6666/mnist-introduction-to-computervision-with-pytorch", "kernel_id": "82466617"}, {"ref": "mongosaurusrex/mnist-cnn", "kernel_id": "83793366"}, {"ref": "codingloading/variational-autoencoders-on-mnist", "kernel_id": "83213471"}, {"ref": "earlpeterjg/digit-recognizer-using-simple-feedforward-networks", "kernel_id": "83499472"}, {"ref": "earlpeterjg/digit-recognizer-using-cnns-in-keras", "kernel_id": "83501866"}, {"ref": "endofnight17j03/25-million-images-0-99757-mnist-competition", "kernel_id": "83353910"}, {"ref": "raedaddala/hyperparameter-fine-tuned-pytorch-cnn-models", "kernel_id": "83332189"}, {"ref": "raedaddala/pytorch-cnns-hyperparameters-tuning-mnist", "kernel_id": "83236130"}, {"ref": "jaydeepvaishya/digit-recognizer-end-to-end", "kernel_id": "83657994"}, {"ref": "jaydeepvaishya/notebook5780204a9f", "kernel_id": "83775709"}, {"ref": "jpvargas/cnn-from-scratch-handwritten-digit-recognition", "kernel_id": "83500352"}, {"ref": "pranava2004/notebook49811585f9", "kernel_id": "83642759"}, {"ref": "pauloherclio/digit-recognizer", "kernel_id": "83889183"}, {"ref": "giorgoskleftogiannis/digit-recognizer", "kernel_id": "83220952"}, {"ref": "tuca22/mymnist-without-framework-tensorflow-pytorch", "kernel_id": "83704147"}, {"ref": "johntimeson/algorithm-homework3", "kernel_id": "83533198"}, {"ref": "westoon/digit-classification-hog-svm", "kernel_id": "83021660"}, {"ref": "leeedev/30213", "kernel_id": "83238039"}, {"ref": "leeedev/30213-1", "kernel_id": "83157540"}, {"ref": "wojciech321/mnisi-int", "kernel_id": "83903279"}, {"ref": "usernameofnik/image-classification", "kernel_id": "83820194"}, {"ref": "atreidesss/manifold-learning-autoencoders-fashion-version", "kernel_id": "83238785"}, {"ref": "atreidesss/visualizing-mnist-using-a-variational-autoencoder", "kernel_id": "83238839"}, {"ref": "elenaryashchentceva/wetestpca", "kernel_id": "83736445"}, {"ref": "abdulrahmanalnehare/digit-recognizer-cnn", "kernel_id": "83957619"}, {"ref": "vimlendudubey/pca-demo", "kernel_id": "83232341"}, {"ref": "manshujaiswal47/mnist-classifier-first-deep-learning-project", "kernel_id": "83352100"}, {"ref": "ayushrajtamta/digit-recognation-using-pytorch", "kernel_id": "83905863"}, {"ref": "heqinghappystar/neighbor2neighbor", "kernel_id": "83705318"}, {"ref": "abutaher03/performed-pca-on-mnist-dataset", "kernel_id": "83961403"}, {"ref": "mnnbnsl/neural-network", "kernel_id": "83618410"}, {"ref": "chiragsharma1201/digital-recognizer", "kernel_id": "83579790"}, {"ref": "pranavkohli2410/implementing-neural-networks-mnist", "kernel_id": "83563756"}, {"ref": "sutimi/notebook266e8c1655", "kernel_id": "83027258"}, {"ref": "sutimi/qmzylllll", "kernel_id": "83030934"}, {"ref": "devkarankh/ann-from-scratch-no-tensorflow-pytorch", "kernel_id": "83125113"}, {"ref": "chengruyi00200/qimo000100", "kernel_id": "83691252"}, {"ref": "kaonai/123456", "kernel_id": "83027313"}, {"ref": "emoja8/llllllllllllllls", "kernel_id": "83933000"}, {"ref": "lijinhhan/notebook16b1d2388a", "kernel_id": "83931713"}, {"ref": "h661666/69645656", "kernel_id": "83934653"}, {"ref": "h661666/11111", "kernel_id": "83027280"}, {"ref": "lixm24/digit-recognizer", "kernel_id": "83717863"}, {"ref": "revanyusifov/ai-lab-7-fe4eed", "kernel_id": "83373426"}, {"ref": "lewxuwei/digit-recognizer", "kernel_id": "83846564"}, {"ref": "nataliasirt/digit-recognizer-v1", "kernel_id": "83747941"}, {"ref": "noarabeherisoa/nn-from-scracth", "kernel_id": "83446040"}, {"ref": "barry24/digit-recognizer-pytorch-cnn-models-score-0-ffd31f", "kernel_id": "83241965"}, {"ref": "aaalaity/digit-recognizer-pytorch-cnn-models-score-0-e14c56", "kernel_id": "83314454"}, {"ref": "xiaoaluuuuu/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "83594305"}, {"ref": "remedya/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "83455369"}, {"ref": "huxuebing/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "83799289"}, {"ref": "govindnair07/mnist-neural-network-numpy-no-tf-keras", "kernel_id": "83730238"}, {"ref": "lliu333/cnn-copy-version", "kernel_id": "83945466"}, {"ref": "yonghumingzhanyong/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "83943603"}, {"ref": "jamesmcguigan/minst-pytorch-cnn", "kernel_id": "84088068"}, {"ref": "herrmilt/mnist-classification", "kernel_id": "84654870"}, {"ref": "kaanyuxel/anomaly-aware-digit-classification", "kernel_id": "84504710"}, {"ref": "subhangaupadhaya/mnist-97", "kernel_id": "84077096"}, {"ref": "yuvrajdeshmukh/digit-recognizer-using-only-numpy-no-tf-keras", "kernel_id": "84404596"}, {"ref": "naveenda/cnn-based-approach", "kernel_id": "84678457"}, {"ref": "petermoorhouse/keras-digit-classification", "kernel_id": "84931912"}, {"ref": "soumyam23/mnist-notebook-1", "kernel_id": "84262348"}, {"ref": "amerhu/ffn-foundations-digit-recognition-challenge", "kernel_id": "84257672"}, {"ref": "joshma1024/notebooka1afc7cfff", "kernel_id": "84291521"}, {"ref": "supersnowva/simple-digit-recognizer-neural-network", "kernel_id": "84272532"}, {"ref": "danuherath/mnist-handwritten-digit-classification", "kernel_id": "84265442"}, {"ref": "divyanshvishwkarma/convolutional-neural-networks-from-scratch", "kernel_id": "84057106"}, {"ref": "erikvandenbroek/digit-recognizer-99-44", "kernel_id": "84514296"}, {"ref": "ricemaster/basic-pytorch", "kernel_id": "84661100"}, {"ref": "adityaraaj7/basic-feed-forward-on-mnist", "kernel_id": "84530395"}, {"ref": "elenaryashchentceva/fork-of-withnurolnetwork", "kernel_id": "84100738"}, {"ref": "mtoshidesu/kaggle-s-mnist-digit-recognizer-with-pytorch-ver3", "kernel_id": "84979751"}, {"ref": "siyachopra/nn-from-scratch", "kernel_id": "84798960"}, {"ref": "kubtem/awesome-deep-learning-with-cnn-mnist-classifier", "kernel_id": "84273612"}, {"ref": "samraddhigupta/digit-recogniser", "kernel_id": "84924247"}, {"ref": "supratikbhowal/digit-recognizer-from-scratch-mnist", "kernel_id": "84316621"}, {"ref": "abhranshusarkar/pca-demo-1", "kernel_id": "84749342"}, {"ref": "dakshbhatnagar08/digit-recognizer-top-score", "kernel_id": "84864670"}, {"ref": "riyazmaind/digit-recognizer-by-riyaz-maind", "kernel_id": "84601164"}, {"ref": "nishchal29/mnist-digit-classifier", "kernel_id": "84007645"}, {"ref": "nisarg0016/notebook7c49fc5277", "kernel_id": "84577013"}, {"ref": "emrecd/mnist", "kernel_id": "84951738"}, {"ref": "komaljain13/hand-written-digit-recognition-using-mnist-dataset", "kernel_id": "84955486"}, {"ref": "harshit12120/performing-using-pca", "kernel_id": "84045977"}, {"ref": "satyammchaturvedi/mnist-pca", "kernel_id": "84839480"}, {"ref": "anushree237/pca-demo", "kernel_id": "84835499"}, {"ref": "iriswang6666/mnist-digit-recognition", "kernel_id": "84472108"}, {"ref": "hasnainyaqooob/digit-recognizer", "kernel_id": "84258121"}, {"ref": "piririp/cnn-for-mnist-classification", "kernel_id": "84117704"}, {"ref": "muzammalihsan/digit-recognizer-by-logisgtic-regression", "kernel_id": "84033449"}, {"ref": "mariscc/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84585969"}, {"ref": "justcode1/digit-recognizer", "kernel_id": "84430870"}, {"ref": "lunhuanzha/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84288235"}, {"ref": "elkraps/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84651547"}, {"ref": "xlqinglong/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84620160"}, {"ref": "hemajitpatel/digits-prediction-hem", "kernel_id": "84323381"}, {"ref": "lj2300170153/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84051814"}, {"ref": "jdkqdkhd1/digit-recognizer-pytorch-cnn-models-score-0-d47c62", "kernel_id": "84213005"}, {"ref": "jdkqdkhd1/fork-of-digit-recognizer-pytorch-cnn-models-score", "kernel_id": "84285364"}, {"ref": "momo1111111/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84274148"}, {"ref": "dantadawang/digit-recognizer-pytorch-cnn-models-score-0-0f85ae", "kernel_id": "84473199"}, {"ref": "pundir12/digitrecognizer", "kernel_id": "84381609"}, {"ref": "myssss11/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84596969"}, {"ref": "xionger23/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84634397"}, {"ref": "reogriffin/digit-recognizer-pytorch-cnn-models-score-0-0a39d6", "kernel_id": "84623916"}, {"ref": "yinshihao123/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84588285"}, {"ref": "erfffa/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84589965"}, {"ref": "yangxian2023/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84590425"}, {"ref": "chengxiandie/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84625292"}, {"ref": "longjun555/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84637211"}, {"ref": "fanxing666/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84624795"}, {"ref": "yuzhoudiyi/digit-recognizer-pytorch-cnn-models-score-0-b2f981", "kernel_id": "84624692"}, {"ref": "liuyiwan/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84625830"}, {"ref": "icesea2miss/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84647853"}, {"ref": "bzd041109/digit-recognizer-pytorch-cnn-models-score-0-359278", "kernel_id": "84629573"}, {"ref": "yxcokok/123331", "kernel_id": "84646397"}, {"ref": "yxcokok/yxc-cnn", "kernel_id": "84644197"}, {"ref": "qiguiyuan/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84639745"}, {"ref": "luoyyyy/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84651686"}, {"ref": "jth214/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84651846"}, {"ref": "zhuxiaguan/digit-recognizer-pytorch-cnn-models-score-0-99275", "kernel_id": "84673415"}, {"ref": "yyy520dd/digit-recognizer-pytorch-cnn-models-score-0-09dad5", "kernel_id": "84688874"}, {"ref": "rhxhibiki/digit-recognizer-pytorch-cnn-models-score-0-4eca32", "kernel_id": "84691679"}, {"ref": "cashfeg/mnist-datamining-fc-sample", "kernel_id": "85706333"}, {"ref": "cashfeg/mnist-datamining-cnn-sample", "kernel_id": "85708498"}, {"ref": "cashfeg/mnist-sample-sgd", "kernel_id": "85911676"}, {"ref": "cashfeg/mnist-sample", "kernel_id": "85472666"}, {"ref": "herrmilt/mnist-vae", "kernel_id": "85293312"}, {"ref": "herrmilt/mnist-autoencoder", "kernel_id": "85274881"}, {"ref": "hadimaster/pca-vs-t-sne-vs-umap-on-mnist-dataset-r-version", "kernel_id": "85415300"}, {"ref": "abhinav2020/basic-neural-network", "kernel_id": "85731433"}, {"ref": "abdohamadnallah/mnist-digit-recognizer", "kernel_id": "85758899"}, {"ref": "kyrian330/deep-cnn-acc-99-5", "kernel_id": "85199270"}, {"ref": "lplalbert/notebook2aeab0cb5e", "kernel_id": "85790849"}, {"ref": "ibrakdabra/solver-warmup-digit-recognizer", "kernel_id": "85557530"}, {"ref": "nghianguyenduy1601/convolutional-neural-network-cnn-tutorial", "kernel_id": "85146737"}, {"ref": "amankhan98/pca-demo", "kernel_id": "85793084"}, {"ref": "summerfreda/digital-recognizer", "kernel_id": "85641577"}, {"ref": "nomi707/pca-project-implementation", "kernel_id": "85935377"}, {"ref": "anuragchaudhuri/mnist-from-scratch", "kernel_id": "85610241"}, {"ref": "alvinfan1990/digit-recognizer-based-on-second-version", "kernel_id": "85259876"}, {"ref": "saqibshoaibdz/digits-classification-using-cnn", "kernel_id": "85360684"}, {"ref": "mananrafiq/digit-recognizer-using-xgboost", "kernel_id": "85263793"}, {"ref": "trnhvu/digit-recognizer-cnn", "kernel_id": "85810386"}, {"ref": "isabek96/digit-recognizer", "kernel_id": "85244287"}, {"ref": "ashwinv47/digit-recognizer", "kernel_id": "85841501"}, {"ref": "feitandodatascience/cnns-for-mnist", "kernel_id": "85634461"}, {"ref": "mayankmohata/pca-ondigitsclassifier", "kernel_id": "85592034"}, {"ref": "arnavagarwal1/mnist-cnn-implementation", "kernel_id": "85113507"}, {"ref": "sanidhyavijay24/pure-mlp-ensamble", "kernel_id": "85056903"}, {"ref": "ralphraout/mnist-numpy-using-numba", "kernel_id": "85376898"}, {"ref": "anujtrivedib23ch1006/digit-recognizer-from-scratch", "kernel_id": "85139563"}, {"ref": "khoa05ai/ail-knn-pca", "kernel_id": "85017526"}, {"ref": "xxshss/convolutional-neural-network-cnn-tutorial", "kernel_id": "85943819"}, {"ref": "mah20050/notebook-my-pred-2", "kernel_id": "85368222"}, {"ref": "resious/resious-mnistclassifier-for-learning", "kernel_id": "85914025"}, {"ref": "shuaibkhan2k3/dcgan-digitrec", "kernel_id": "85876369"}, {"ref": "adnanzamanniloy/handwritten-digit-recognition-hdr", "kernel_id": "85352522"}, {"ref": "bamboonotes/ann-from-scratch", "kernel_id": "85663990"}, {"ref": "spike688023/vgg-with-vcross-feature", "kernel_id": "85332401"}, {"ref": "batyrpro/digit-recognizer-cnn-day-2", "kernel_id": "85730712"}, {"ref": "meesumfanumm/nns-from-scratch", "kernel_id": "85723868"}, {"ref": "azharlodge/mnist", "kernel_id": "85536128"}, {"ref": "telikhushi/mnist", "kernel_id": "85432753"}, {"ref": "victoryanson/first-neural-network-xd", "kernel_id": "85063312"}, {"ref": "anirudhkumar281/notebookfe63310781", "kernel_id": "85260665"}, {"ref": "hemantgodve/notebook9ea7c96deb", "kernel_id": "85944503"}, {"ref": "karansr01/mnist-from-scratch-and-tensorflow", "kernel_id": "85551211"}, {"ref": "prakharporwal1/digit-recognizer", "kernel_id": "85828736"}, {"ref": "herrmilt/digits-rnn", "kernel_id": "86068773"}, {"ref": "xiaoleiwww/cnn-mnist", "kernel_id": "86780604"}, {"ref": "kentshibata/digit-recognizer-notebook", "kernel_id": "86550526"}, {"ref": "khusyasy/digit-recognizer-using-modified-vggnet-cnn", "kernel_id": "86401159"}, {"ref": "agammehta/agamkagglemnist", "kernel_id": "86718690"}, {"ref": "ravi20076/mnist-baseline-v1", "kernel_id": "86069482"}, {"ref": "davideandreoli/digit-recognizer", "kernel_id": "86871041"}, {"ref": "salkochoa/digit-recognizer", "kernel_id": "86597673"}, {"ref": "hossamahmedsalah/session-10-unsupervised-learning-practice", "kernel_id": "86244639"}, {"ref": "tiktikimelbo/mnist-classification-from-scratch", "kernel_id": "86734024"}, {"ref": "mahdikhodarahimi/generate-digit-images-using-vae", "kernel_id": "86143595"}, {"ref": "mahdikhodarahimi/generate-digit-images-wgan", "kernel_id": "86150059"}, {"ref": "agnieszkakaplukhaasa/digit-recognizer-pca-ann-boost-97", "kernel_id": "86872781"}, {"ref": "rahuljaisy/foundational-cnn-baseline-mnist-pytorch", "kernel_id": "86628457"}, {"ref": "shanthankompally/visualizing-mnist-using-a-variational-autoencoder", "kernel_id": "86431316"}, {"ref": "raj336699/mnist-pca", "kernel_id": "86434991"}, {"ref": "adityay2j/mnist-digirecog-cnn-99-167", "kernel_id": "86266451"}, {"ref": "aakcodebreaker/mnist-classification-from-scratch", "kernel_id": "86413563"}, {"ref": "hellbruh/digit-recogniser-with-0-97-rate", "kernel_id": "86131202"}, {"ref": "sumanbera19/is-cnn-learn-the-digit-99-39-eda", "kernel_id": "86175197"}, {"ref": "aditis4ble/neuralnetwork-from-scratch", "kernel_id": "86085601"}, {"ref": "yashhvardhan/nn-scratch-w-o-keras", "kernel_id": "86096439"}, {"ref": "yashhvardhan/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "86099368"}, {"ref": "mehtabahmad6/pca-on-mnist", "kernel_id": "86107831"}, {"ref": "fortfanop/unscrambler-mnist", "kernel_id": "86483212"}, {"ref": "jawhersadok01/svm-algo", "kernel_id": "86348451"}, {"ref": "dhruvguptaai/nn-from-scratch", "kernel_id": "86871072"}, {"ref": "saveegupta/problem1", "kernel_id": "86341754"}, {"ref": "mati12/notebook15c33ad84c", "kernel_id": "86649957"}, {"ref": "nidaamir/digitrecognizer-cnn-lr-rf", "kernel_id": "86941096"}, {"ref": "dewstend/mnist-digit-recognizer", "kernel_id": "86177239"}, {"ref": "obotobo2005/mnist-from-scratch", "kernel_id": "86398812"}, {"ref": "hearuzj/digitrecognizer-mlp97", "kernel_id": "86084398"}, {"ref": "nanipro/firstsubmitbynanipro", "kernel_id": "86079380"}, {"ref": "dguthyh/notebook6689c7752c", "kernel_id": "86122200"}, {"ref": "dguthyh/digit-recognizer-cnn", "kernel_id": "86118990"}, {"ref": "panzerkampfwagen/mnist", "kernel_id": "86301495"}, {"ref": "sarthaksingh0903/notebook642412ebce", "kernel_id": "86540883"}, {"ref": "darshanpareek/multiclass-classification", "kernel_id": "86291001"}, {"ref": "mrmelvin/digit-classifier-from-scratch-with-96-91-accuracy", "kernel_id": "86785150"}, {"ref": "kospintr/digrecog-cnn-aug-layer-monte-carlo-aug", "kernel_id": "86557648"}, {"ref": "agarwalronakagarwal/pca-demo", "kernel_id": "86913189"}, {"ref": "furyfist/digit-recognizer", "kernel_id": "86974560"}, {"ref": "shreeyasrivastava12/pca-demo", "kernel_id": "86284746"}, {"ref": "xiangli1986/digit-recognizer-is-there-a-pi", "kernel_id": "86138092"}, {"ref": "purabravi/notebook740b512f69", "kernel_id": "86492450"}, {"ref": "shubzk17/mnist-dataset", "kernel_id": "86736397"}, {"ref": "maita27/digit-recognizer", "kernel_id": "86945620"}, {"ref": "carlosravanelli/atividade-reconhecimento-de-caracteres", "kernel_id": "86303995"}, {"ref": "harishmogili/visualizing-mnist-using-a-variational-autoencoder", "kernel_id": "86431366"}, {"ref": "adityasinha5730/eigen-vision-project", "kernel_id": "86089570"}, {"ref": "amankrshaw/applying-pca-in-minst-dataset", "kernel_id": "86348622"}, {"ref": "oleksandrdziuniak/digitrecognizer", "kernel_id": "86366747"}, {"ref": "tahiro09/neural-network", "kernel_id": "86950984"}, {"ref": "aaka19/notebookd83a8c4bd6", "kernel_id": "86528805"}, {"ref": "adamzurada/ml-from-scratch-part-3-nn", "kernel_id": "87580194"}, {"ref": "jcl1992/mnist-digits-recognition-cnn-keras-jcl", "kernel_id": "87299993"}, {"ref": "jcl1992/mnist-digits-recognition-cnn-pytorch-jcl", "kernel_id": "87287539"}, {"ref": "jordirosell/97-in-2min-using-cosine-similarity-in-base-r", "kernel_id": "87549996"}, {"ref": "farhadmohseni/digit-recognizer-2-augmentations", "kernel_id": "87278900"}, {"ref": "izhanfakhruzi/belajar-multilayer-perceptron-digit-pytorch", "kernel_id": "87843605"}, {"ref": "taylorsamarel/simple-neural-network-for-mnist-numpy-from-scratch", "kernel_id": "87621695"}, {"ref": "xero07m/vanilla-gan-iitm-tutorial-w2t5", "kernel_id": "87546271"}, {"ref": "shreyarao2003/nn-from-scratch", "kernel_id": "87842504"}, {"ref": "qiaozhiling/ddpm-code", "kernel_id": "87476839"}, {"ref": "kashif03371733/pca-using-sklearn", "kernel_id": "87597581"}, {"ref": "amineipad/digit-recognizer-test", "kernel_id": "87443258"}, {"ref": "yashpalthakor/mnist-digit-recognizer-with-pytorch", "kernel_id": "87524036"}, {"ref": "ahmedxhamada/cnn-digit-recognition", "kernel_id": "87011094"}, {"ref": "vaibhavpadghane12/digit-recognition-mnist", "kernel_id": "87182063"}, {"ref": "discard/digital-recognition", "kernel_id": "87401347"}, {"ref": "nguynhngphi/test-ai-digit-recognizer", "kernel_id": "87278846"}, {"ref": "immortalxxadi/hand-written-digit-recognize-using-keras", "kernel_id": "87834473"}, {"ref": "ducthanh127/notebookabcf127ec9", "kernel_id": "87481433"}, {"ref": "hyyccx/notebookb62251e968", "kernel_id": "87512658"}, {"ref": "muddw1/digitrecognizer", "kernel_id": "87272736"}, {"ref": "vlmtrnh/bai-test-so-3", "kernel_id": "87590955"}, {"ref": "tiheli/digit-recognizer-project-with-cnn", "kernel_id": "87110586"}, {"ref": "atunnah/pretrain-code", "kernel_id": "87546443"}, {"ref": "atunnah/digit-recognizer-test", "kernel_id": "87343092"}, {"ref": "adamridene/digit-recognizer-with-pytorch", "kernel_id": "87601529"}, {"ref": "azharuddin112/digitrecognizer-15fa34", "kernel_id": "87405282"}, {"ref": "mohamedramadan2040/catch-digit", "kernel_id": "87928910"}, {"ref": "gauripatil2299/digit-recognizer", "kernel_id": "87268109"}, {"ref": "divyaearya/vit-implementation", "kernel_id": "87998774"}, {"ref": "mdzunayed02/digit-recognizer-99-564-accuracy", "kernel_id": "87345129"}, {"ref": "thutho4444/digit-recognizer", "kernel_id": "87408029"}, {"ref": "veynvennie/pca-example", "kernel_id": "87821779"}, {"ref": "anmolsinghchhabra/pca-mnist-datatset", "kernel_id": "87755862"}, {"ref": "aashraykhairnar/mnist-digit-recognizer-with-tensorflow-99-296", "kernel_id": "87593418"}, {"ref": "vdhieu/digit", "kernel_id": "87479878"}, {"ref": "photienanh/digit-recognition", "kernel_id": "87276387"}, {"ref": "nicdeluc/resnet-18-for-mnist-overkill-but-fun", "kernel_id": "87849176"}, {"ref": "devanshshukla123/lenet-5", "kernel_id": "87530065"}, {"ref": "mzulqarnain17/pca-practice", "kernel_id": "87410267"}, {"ref": "niharika609chauhan/pca-1", "kernel_id": "87140586"}, {"ref": "rafymemon/fork-of-pca-demo", "kernel_id": "87707199"}, {"ref": "cherrmittal/digit-classification-using-cnn", "kernel_id": "87085544"}, {"ref": "gani910000/notebooke3dd303254", "kernel_id": "87948512"}, {"ref": "chawthinn21/mnist-digit-classification", "kernel_id": "87313718"}, {"ref": "dakshpraveen123/mnist-digit-recognizer", "kernel_id": "87616407"}, {"ref": "theitperson/pca-on-mnist", "kernel_id": "87004245"}, {"ref": "turandemir/digit-recogniser", "kernel_id": "87283726"}, {"ref": "prasanthisandaka/notebook9eca412188", "kernel_id": "87764120"}, {"ref": "asherkamal1/cnn-tutorial", "kernel_id": "87549099"}, {"ref": "molozhenko/cracked-the-mnist-code-from-scratch-to-99", "kernel_id": "88804594"}, {"ref": "wordroid/fet60-smart-gif", "kernel_id": "88417182"}, {"ref": "wordroid/e-greedy-gmm-finds-63-styles-in-mnist-digits", "kernel_id": "88363005"}, {"ref": "wordroid/fet24-eg-gmm-selector", "kernel_id": "88340809"}, {"ref": "wordroid/fet24-smart-gif", "kernel_id": "88292939"}, {"ref": "ridamansour/digit-recognizer", "kernel_id": "88029593"}, {"ref": "jatin2055/pca-feature-extraction", "kernel_id": "88131553"}, {"ref": "pwpoon/digit-recognized-training", "kernel_id": "88430067"}, {"ref": "vusieunhan04/digit-recognizer", "kernel_id": "88273155"}, {"ref": "ayasamirabdelhalim/pytorch-with-mnist-beginner", "kernel_id": "88213602"}, {"ref": "giang123nguynvn/cnn-mnist", "kernel_id": "88755993"}, {"ref": "tirdadlajmouraki/cnn-pytorch-full-guide", "kernel_id": "88425325"}, {"ref": "subhranilwayne/handwritten-digit-prediction", "kernel_id": "88784801"}, {"ref": "duongquanghuy/test-final", "kernel_id": "88369167"}, {"ref": "duongquanghuy/final-test", "kernel_id": "88352613"}, {"ref": "duongquanghuy/010803", "kernel_id": "88347132"}, {"ref": "aakcodebreaker/mnist-classification-cnn-data-augmentation", "kernel_id": "88575377"}, {"ref": "gayathrisunilnambiar/digit-recognizer-handwritten", "kernel_id": "88579221"}, {"ref": "youssefbouali/mnist-scikit-learn-tutorial", "kernel_id": "88242740"}, {"ref": "cranky1104/hncranky-digit-recognizer", "kernel_id": "88121609"}, {"ref": "lamnhtn/digit-recognized", "kernel_id": "88359882"}, {"ref": "hbistechie/pca-implementation", "kernel_id": "88433807"}, {"ref": "rogermskim/vit-mnist", "kernel_id": "88492753"}, {"ref": "ninggxd/digit-recognizer", "kernel_id": "88415453"}, {"ref": "ngvminh/digit-recognizer", "kernel_id": "88432458"}, {"ref": "khushalupadhayay/digit-recognizer-ann", "kernel_id": "88410619"}, {"ref": "meetdarji29/mnist-from-sratch", "kernel_id": "88600989"}, {"ref": "marlen01/mnist-pytorch-cnn", "kernel_id": "88457163"}, {"ref": "marlen01/simple-solution-mnist", "kernel_id": "88510454"}, {"ref": "dvnamm/digit-recognizer-1", "kernel_id": "88564061"}, {"ref": "eshwaronkaggle/swin-mnist", "kernel_id": "88654882"}, {"ref": "eshwaronkaggle/resnet-mnist", "kernel_id": "88136283"}, {"ref": "eshwaronkaggle/vit-mnist", "kernel_id": "88230802"}, {"ref": "kingshukpal/digit-recognizer-cnn-2", "kernel_id": "88507742"}, {"ref": "kingshukpal/number-classifier", "kernel_id": "88453209"}, {"ref": "youssefkaram222/digit-recognizer-umap-kmeans", "kernel_id": "88474390"}, {"ref": "isaiapedro/digit-recognizer-using-cnn", "kernel_id": "88925167"}, {"ref": "amirmohamadaskari/digit-recognizer-with-simple-cnn-on-tensorflow", "kernel_id": "88086135"}, {"ref": "hkgilee/digit-recognizer", "kernel_id": "88114435"}, {"ref": "qung12/test-ai-intern-ng-ng-c-qu", "kernel_id": "88345318"}, {"ref": "antonglushko1/digit", "kernel_id": "88513134"}, {"ref": "kaustukjaiswal/pca-implementation", "kernel_id": "88949405"}, {"ref": "leducthang1/notebook52cdc06a1e", "kernel_id": "88073245"}, {"ref": "riddhimaiti/digit-recognizer-using-ann", "kernel_id": "88151043"}, {"ref": "rayyan973/neural-network-for-mnist-database", "kernel_id": "88873903"}, {"ref": "ankit07chy/261-pca-demo", "kernel_id": "88446419"}, {"ref": "aayb10/digit-recognizer-98-9-accuracy-with-cnn", "kernel_id": "88363138"}, {"ref": "nathanbensoussan/mnist-sub", "kernel_id": "88764603"}, {"ref": "mosaicstat/6-digit-recognizer", "kernel_id": "88622730"}, {"ref": "jamescake/digit-recogniser", "kernel_id": "88398796"}, {"ref": "antonyshibupaul/mnist-with-numpy-math", "kernel_id": "88016312"}, {"ref": "adarshdineshdevadiga/english-numerals-digit-recognition", "kernel_id": "88683620"}, {"ref": "praveen5733/solving-mnist-using-pytorch-excercise", "kernel_id": "89880025"}, {"ref": "mussadiqnazeer/mussadiq-digitrecognizer", "kernel_id": "89342909"}, {"ref": "joecorrales/mnist-nn-p1", "kernel_id": "89324661"}, {"ref": "judeboachie/mnist-dataset-digit-recognizer", "kernel_id": "89694606"}, {"ref": "gayandinipunika/digitrecognizer-imageclassification", "kernel_id": "89288887"}, {"ref": "abdullahasiff/mnist-using-ann", "kernel_id": "89419797"}, {"ref": "daltongabrielomondi/simple-mnist-nn-from-scratch-numpy-no-tf-40a4a5", "kernel_id": "89728758"}, {"ref": "vishwax/ann-mnist-01", "kernel_id": "89300044"}, {"ref": "skanx7/mnist-dataset-classification-cnn", "kernel_id": "89481937"}, {"ref": "harsh12sh/digits-mnist-classification-using-cnn", "kernel_id": "89515727"}, {"ref": "nischlthapa/pca-on-mnist-datasets", "kernel_id": "89991027"}, {"ref": "lvarogonzlezplaza/reconocedor-de-digitos", "kernel_id": "89474640"}, {"ref": "gauravsambhajipatil/pca-on-mnist", "kernel_id": "89319153"}, {"ref": "yul04ek/digit-1", "kernel_id": "89259010"}, {"ref": "priyamghosh66/nn-with-np", "kernel_id": "89265743"}, {"ref": "njuspy/digit-recognizer-cnn", "kernel_id": "89371782"}, {"ref": "ayushsyntax/digit-recognizer-mnist", "kernel_id": "89889623"}, {"ref": "shorfulalam/principle-component-analysis-pca-on-mnist-dataset", "kernel_id": "89917401"}, {"ref": "tanh2405/softmax", "kernel_id": "89901132"}, {"ref": "tungdd2009/test-cnn-mnist", "kernel_id": "89982118"}, {"ref": "thangnguyen12939445/assignment8", "kernel_id": "89100436"}, {"ref": "sarangivenkat/mnist-99-6", "kernel_id": "89545849"}, {"ref": "telmenbayarbaatar/nn-from-scratch-telmen", "kernel_id": "89199881"}, {"ref": "amritbharadwaj/pca-demo", "kernel_id": "89049116"}, {"ref": "jingminghuang/ddpm-from-scratch-in-pytorch", "kernel_id": "89380496"}, {"ref": "mosaicstat/notebook4264d80db2", "kernel_id": "89218155"}, {"ref": "fakaruddin/pca-demo-1", "kernel_id": "89122089"}, {"ref": "sagsan/digit-recognizer-w-neural-nets", "kernel_id": "89090866"}, {"ref": "nebuladev/mnist-using-deeplearning", "kernel_id": "89770834"}, {"ref": "ihavealaptop/digit-recognizer", "kernel_id": "89319865"}, {"ref": "mayasha01/digit-reco", "kernel_id": "89898761"}, {"ref": "wissunpower/notebook-digit-recognizer", "kernel_id": "90597969"}, {"ref": "bodiijhjhbn/task-3-round-2", "kernel_id": "90945950"}, {"ref": "apoorvagondane/digit-recognizer", "kernel_id": "90007579"}, {"ref": "apoorvagondane/notebook-digit-recognizer", "kernel_id": "90667289"}, {"ref": "kartikyanigar/flax-based", "kernel_id": "90415134"}, {"ref": "matteosisti/digit-recognizer-comp", "kernel_id": "90067266"}, {"ref": "yaroslav53/digit-recognizer-mnist-mlp", "kernel_id": "90924974"}, {"ref": "raninikki/digit-recognizer", "kernel_id": "90667463"}, {"ref": "raninikki/digit-recognizer-cnn-with-augmentation-schedule", "kernel_id": "90010380"}, {"ref": "dasdasdada/digit-recognition", "kernel_id": "90005746"}, {"ref": "subhranilwayne/hand-written-digit-recognition-using-ml", "kernel_id": "90065946"}, {"ref": "cemresude/cnn-digitrecognizer", "kernel_id": "90682629"}, {"ref": "antimoni/cnn-mnist", "kernel_id": "90101435"}, {"ref": "jitamxb/digit-recognition-with-deep-learning", "kernel_id": "90408394"}, {"ref": "nguyenbnguyen/digit-recognizer-pytorch", "kernel_id": "90088634"}, {"ref": "abhitirachelk/digit-recognizer", "kernel_id": "90760118"}, {"ref": "mayuringle8890/cnn-from-scratch-understand-every-weight-act", "kernel_id": "90726110"}, {"ref": "bissenabbassi/rqsan-mnist", "kernel_id": "90156724"}, {"ref": "ahsaber21/simplecnn", "kernel_id": "90106909"}, {"ref": "sumedhapal/mnist-dig-recognizer-using-numpy-and-pandas", "kernel_id": "90211701"}, {"ref": "shubzk17/lenet-5-architecture-implementation", "kernel_id": "90945676"}, {"ref": "aarushprasad/mnist-digit-classifier", "kernel_id": "90042427"}, {"ref": "kundrarubal/pca-demo-1", "kernel_id": "90582336"}, {"ref": "deepaksingh2w34/cnnnotebook", "kernel_id": "90288721"}, {"ref": "mubashir24/pca-demo", "kernel_id": "90696964"}, {"ref": "anishajlaoui/notebookbd0502022c", "kernel_id": "90959015"}, {"ref": "adityasharma100203/digit-recognition-99-17", "kernel_id": "90006311"}, {"ref": "aadvikskosuru/mnist-from-scratch", "kernel_id": "90501707"}, {"ref": "mennatallahattia/gradientboosting-randomforest-classifier", "kernel_id": "90642410"}, {"ref": "vietleds/digit-recognizer", "kernel_id": "90508173"}, {"ref": "khalod05/notebook074c028ec1", "kernel_id": "90574114"}, {"ref": "esraamohamedis404/notebook2246f0bc2a", "kernel_id": "90633844"}, {"ref": "suhailab/d-recognizer", "kernel_id": "91561596"}, {"ref": "npo100kpo/notebookf2213430e5", "kernel_id": "91821026"}, {"ref": "ashikshahriar/demystifying-gan-from-scratch", "kernel_id": "91457209"}, {"ref": "wassimhichri/notebook2245df23c9", "kernel_id": "91402823"}, {"ref": "suryatejadevarako/notebook151fb89b27", "kernel_id": "91432093"}, {"ref": "sonalchittode/notebookad3a284ba5", "kernel_id": "91312301"}, {"ref": "nguynhongilinh/22634681-nguyenhoangailinh-dl-lab2-bai2", "kernel_id": "91169471"}, {"ref": "tantanhoang/mnist-cnn-for-handwritten-digit-recognition-v-1", "kernel_id": "91523720"}, {"ref": "rudravavadiya/the-swin-trsnfrm", "kernel_id": "91232914"}, {"ref": "yasminemeriem12/digit-recognizer", "kernel_id": "91848491"}, {"ref": "satypunk/creating-new-neural-network", "kernel_id": "91319593"}, {"ref": "shrish34/neural-network-for-digit-classification", "kernel_id": "91970984"}, {"ref": "srisujal/word2vec-skipgram-cbow-sujal", "kernel_id": "91311864"}, {"ref": "mushtaq1ahmad/pca-demo", "kernel_id": "91465155"}, {"ref": "yuighoc/digit-recognizer", "kernel_id": "91634254"}, {"ref": "jubaamari/mnist-with-cnn", "kernel_id": "91811685"}, {"ref": "leobaumgardner/neural-network-using-numpy", "kernel_id": "91348368"}, {"ref": "nazmiye/digit-recognizer-acc-0-974", "kernel_id": "91169195"}, {"ref": "zihaogong20/digit-recognizer-submission", "kernel_id": "91997453"}, {"ref": "arunmaniyan1/mnist-digit-recognizer-competition", "kernel_id": "91798854"}, {"ref": "mwdatakaggle/mnist-digit-recognition", "kernel_id": "91396191"}, {"ref": "viratkewal/pca-demo", "kernel_id": "91352502"}, {"ref": "nomannic19/digit-recognizer-simple-cnn-augmentation", "kernel_id": "91823269"}, {"ref": "adrymm/digit-recognizer", "kernel_id": "91986164"}, {"ref": "nouranmagedmenshawy/convolutional-neural-network-cnn-tutorial", "kernel_id": "91824714"}, {"ref": "marcusgonzales/nndecimalrecognition", "kernel_id": "91697668"}, {"ref": "herrmilt/mnist-understanding", "kernel_id": "92474573"}, {"ref": "davidrpugh/cs209-week-4-multi-classification", "kernel_id": "92721418"}, {"ref": "aroraaakansha/digit-recognizer", "kernel_id": "92131146"}, {"ref": "samithsachidanandan/neural-network-from-scratch-mnist", "kernel_id": "92581963"}, {"ref": "bridgeoverwater/4-layer-fc-nn-scores-96", "kernel_id": "92670424"}, {"ref": "bridgeoverwater/beginner-digit-recognizer-baseline-gpu", "kernel_id": "92533021"}, {"ref": "jacobfredse/digit-recognizer-mnist-competition", "kernel_id": "92552648"}, {"ref": "anthonytherrien/let-s-gooo", "kernel_id": "92611734"}, {"ref": "grigoryshvetsov/mnist-digits-cnn", "kernel_id": "92077492"}, {"ref": "warconqurer/pca-work", "kernel_id": "92846588"}, {"ref": "smarcle/2025-sejong-1", "kernel_id": "92217668"}, {"ref": "rogerzhu0109/mnist-demo", "kernel_id": "92180940"}, {"ref": "alharthalhajhussein/digits-mnist-classification-using-cnn", "kernel_id": "92846179"}, {"ref": "krishnayadav456wrsty/25-million-images-0-99757-mnist", "kernel_id": "92220965"}, {"ref": "hassanmehmood413/pca-implementation-0-96-mnist", "kernel_id": "92868054"}, {"ref": "franciscoangulo/optical-neural-networks-for-image-classification", "kernel_id": "92264015"}, {"ref": "ganboldg/my-cnn-keras-now", "kernel_id": "92888557"}, {"ref": "nilanjansaha123/mnist-digit-recog-98-5-val-acc-minimal", "kernel_id": "92164520"}, {"ref": "avi70687/mnist-digit-recognition-knn", "kernel_id": "92071214"}, {"ref": "tantanhoang/mnist-cnn-for-handwritten-digit-recognition-v-2", "kernel_id": "92311451"}, {"ref": "dexterxiao/digit-recognizer-20250915", "kernel_id": "92103807"}, {"ref": "hadeerahmed12/convolutional-neural-network-cnn-tutorial", "kernel_id": "92091577"}, {"ref": "mani787060/pca-demo-notebook", "kernel_id": "92793671"}, {"ref": "hvselbaatar/digit-welcome-to-deep-learning-cnn-99", "kernel_id": "92890811"}, {"ref": "temuulen0313/digit-recognizer-compitation", "kernel_id": "92890449"}, {"ref": "subanitishnapoleon/digit-recognising-code", "kernel_id": "92450345"}, {"ref": "miracle555/digit-recognizer", "kernel_id": "92786797"}, {"ref": "naskoequ/my-first-attempt-with-help", "kernel_id": "92082123"}, {"ref": "bhuttamohammadakbar/cnn-implementation", "kernel_id": "92515109"}, {"ref": "jwu372/ml-club-coding-challenge-1-linear-logistic-reg", "kernel_id": "92611027"}, {"ref": "egbertwangarry/mnist-improvement-dl", "kernel_id": "92774738"}, {"ref": "davidrpugh/cs209-week-6-decisiontreeclassifier", "kernel_id": "93996895"}, {"ref": "kdmitrie/digit-recognizer", "kernel_id": "93336161"}, {"ref": "bouazizfortas/cnn-mnist-digit-recognizer", "kernel_id": "93956408"}, {"ref": "meduzka/mnist-classifier-p2p-dgd", "kernel_id": "93421548"}, {"ref": "bridgeoverwater/fork-of-infer-digit-recognizer-efficientnet", "kernel_id": "93484023"}, {"ref": "sugurutsujioka/digit-recognizer-svm", "kernel_id": "93556044"}, {"ref": "yaroslav53/digit-recognizer-mnist-with-seed-averaging", "kernel_id": "93821612"}, {"ref": "surajksharma7/pca-demo", "kernel_id": "93350639"}, {"ref": "ouzhanakr/building-a-simple-ann-from-scratch-math", "kernel_id": "93720331"}, {"ref": "nazmussakibnafiz/digit-recognizer", "kernel_id": "93520658"}, {"ref": "viknitt/pca-demo", "kernel_id": "93818635"}, {"ref": "suchetars/ml-supervised-learning", "kernel_id": "93796708"}, {"ref": "khamertaj/digit-recognition", "kernel_id": "93840118"}, {"ref": "leviyoder/ml2-deeplearning-project", "kernel_id": "93123756"}, {"ref": "shenshiyun/308-digit-recognizer-train-baseline-1", "kernel_id": "93268507"}, {"ref": "shenshiyun/308-digit-recognizer-infer-baseline-1", "kernel_id": "93269488"}, {"ref": "parthzadeshwariya/digit-recognizer-pytorch-99-accuracy", "kernel_id": "93516152"}, {"ref": "umeshkumarrai123/mnist-digit-recognition", "kernel_id": "93054347"}, {"ref": "datatalesbyagos/digit-recognizer", "kernel_id": "93211405"}, {"ref": "ruhul20/digit-recognizer-cnn-pytorch-acc-99", "kernel_id": "93587768"}, {"ref": "ruhul20/digit-recognizer-rnn-pytorch-acc-98", "kernel_id": "93577479"}, {"ref": "lazyambitious33/digit-recognizer-neural-network-from-scratch", "kernel_id": "93352674"}, {"ref": "rahatshahid105/mnist-digit-recognizer", "kernel_id": "93193906"}, {"ref": "tamgujoa/ddim-of-mnist", "kernel_id": "93974913"}, {"ref": "abhinyashuklacu/convolutional-neural-network-cnn-tutorial", "kernel_id": "93528725"}, {"ref": "boluosnow/train", "kernel_id": "93164412"}, {"ref": "boluosnow/infer", "kernel_id": "93411487"}, {"ref": "secret247k/high-accuracy-digit-recognizer-0-992-using-cpu", "kernel_id": "93457290"}, {"ref": "secret247k/digit-recognizer-high-accuracy-fast-cnn-model", "kernel_id": "93468044"}, {"ref": "hvselbaatar/digit-welcome-to-deep-learning-cnn-99-may", "kernel_id": "93427476"}, {"ref": "hvselbaatar/digit-recognizer-welcome-to-deep-learning-cnn-99", "kernel_id": "93423223"}, {"ref": "hvselbaatar/digit-v1-welcome-to-deep-learning-cnn-99", "kernel_id": "93188207"}, {"ref": "mervealtnk/digitvision", "kernel_id": "93025903"}, {"ref": "kerry0829/digital-recognizer", "kernel_id": "93462884"}, {"ref": "jenishsurani/pca-code-visulization", "kernel_id": "93470256"}, {"ref": "zxtxtxt/train1", "kernel_id": "93827451"}, {"ref": "zxtxtxt/infer", "kernel_id": "93829122"}, {"ref": "davidrpugh/handling-outliers-digit-recognizer", "kernel_id": "94458249"}, {"ref": "kammy01/my-digit-recognizer-6th-oct", "kernel_id": "94094183"}, {"ref": "sspan0019/99-8-transfer-learning-mobilenetv2", "kernel_id": "94418100"}, {"ref": "mahmoudmtamer/digit-recognizer-with-data-augmentation", "kernel_id": "94779173"}, {"ref": "sugurutsujioka/digit-recognizer-random-forest", "kernel_id": "94343726"}, {"ref": "nikelchieh/manually-constructed-nn-mnist", "kernel_id": "94018467"}, {"ref": "yaroslav53/digit-recognizer-mnist-cnn", "kernel_id": "94113624"}, {"ref": "ahmetruhanavc/notebook8376b89987", "kernel_id": "94646821"}, {"ref": "tulayppppp/8-9-2025minst-data", "kernel_id": "94399736"}, {"ref": "souilemaymen/digit-recognizer-version1", "kernel_id": "94178841"}, {"ref": "kagmark/mnist-ddpm-using-pytorch", "kernel_id": "94405538"}, {"ref": "danielisakov/digit-recognizer-of-1k-lbls-for-symbol", "kernel_id": "94797610"}, {"ref": "quantumcluse/231189-syedm-hadihassandllab4", "kernel_id": "94480319"}, {"ref": "shashanksaraswat09/check-bagging-result-on-digit-recognizer", "kernel_id": "94624761"}, {"ref": "hiepnx/digit-recognizer", "kernel_id": "94125030"}, {"ref": "lasebb/cnn-model", "kernel_id": "94562281"}, {"ref": "varunr18/mnist-nn-numpy", "kernel_id": "94019859"}, {"ref": "saumyajeetvarma/mnist-knn", "kernel_id": "94473201"}, {"ref": "ahoney7/simple-mnist-neural-network", "kernel_id": "94545374"}, {"ref": "dohyeoplim/digit-recognizer-convnet-only", "kernel_id": "94600445"}, {"ref": "analyticaobscura/blazing-fast-mnist-with-pytorch-cuda", "kernel_id": "94277637"}, {"ref": "quangnguynv/digit-recognizer-mnist-simple-cnn", "kernel_id": "94980994"}, {"ref": "slimemk/digit-recognizer", "kernel_id": "94368765"}, {"ref": "vaibhavranjan9/hand-digit-classification", "kernel_id": "94794269"}, {"ref": "dngnguyn19/digit-recognizer", "kernel_id": "94355153"}, {"ref": "notnbhd/cnn-approach", "kernel_id": "94737871"}, {"ref": "tamanna18204/change-detector", "kernel_id": "94122764"}, {"ref": "allan143/notebook8f74fc9d5e", "kernel_id": "95784575"}, {"ref": "mmoiseenko/notebook26f24f79ef", "kernel_id": "95962600"}, {"ref": "kavanakpadaki/digit-recognizer-using-ann-and-dropout-layers", "kernel_id": "95366279"}, {"ref": "bombom21/digit-recognition", "kernel_id": "95378828"}, {"ref": "hungnvv/cnn-datagen", "kernel_id": "95814075"}, {"ref": "namnguyenba/digit-recognizer", "kernel_id": "95515881"}, {"ref": "shenshiyun/308-digit-recognizer-train-baseline-2", "kernel_id": "95760251"}, {"ref": "phong2611/digit-recognizer", "kernel_id": "95830426"}, {"ref": "alaaelshaer22/handwritten-recognizer", "kernel_id": "95277793"}, {"ref": "xueyueicu/mnist-tutorial", "kernel_id": "95326240"}, {"ref": "luckysntso/compvis-gemastik-digitrecognizer", "kernel_id": "95252361"}, {"ref": "hmnshudhmn24/digit-recognizer-competition", "kernel_id": "95212515"}, {"ref": "abhishekkumarabsie/cnn-digit-classifier-tensorflow", "kernel_id": "95369470"}, {"ref": "mani787060/feature-selection-using-random-forest", "kernel_id": "95214789"}, {"ref": "temuulen0313/shalgalt-1", "kernel_id": "95000954"}, {"ref": "smujtabahussain/randomforest-digitrecognizer", "kernel_id": "95909566"}, {"ref": "kovalkostiantyn/colab-lab3", "kernel_id": "95080908"}, {"ref": "youxiongchin/notebook-oct28-v4", "kernel_id": "95641582"}, {"ref": "kondoudesu/teisyutyll", "kernel_id": "95199466"}, {"ref": "kondoudesu/notebook7c5d36ecfb", "kernel_id": "95084336"}, {"ref": "andreivezeteu/rn-hw2", "kernel_id": "95612931"}, {"ref": "kamilstaszewski/d2l-chapter-4", "kernel_id": "96340322"}, {"ref": "katechubarova/digit-recognizer-score-0-98957-simple-nn", "kernel_id": "96793372"}, {"ref": "masterofdeath/notebooke61796a1aa", "kernel_id": "96653272"}, {"ref": "mahinsanklecha/digi-recognizer-agv-mlp", "kernel_id": "96652383"}, {"ref": "chrismundwa/convolutional-neural-network-cnn-tutorial", "kernel_id": "96231523"}, {"ref": "sandipdas0001/digit-recognizer-practice", "kernel_id": "96384431"}, {"ref": "gl3mon/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "96971156"}, {"ref": "lovekumar143/basic-implementation-of-digit-classification", "kernel_id": "96377238"}, {"ref": "shenshiyun/308-digit-recognizer-infer-baseline-2", "kernel_id": "96252354"}, {"ref": "shenshiyun/308-digit-recognizer-make-image", "kernel_id": "96476514"}, {"ref": "abhinavt1704/digit-recognizer", "kernel_id": "96654239"}, {"ref": "ananyagrawal3/mnist-nn", "kernel_id": "96837759"}, {"ref": "yasuyasub/notebook9f155f4474", "kernel_id": "96652213"}, {"ref": "knaasas/mnist-no-torch-nn", "kernel_id": "96652196"}, {"ref": "udaykalyansreenivasa/notebook9ccbb400aa", "kernel_id": "96653564"}, {"ref": "uddiptomandal/mnist", "kernel_id": "96652167"}, {"ref": "surjodey/mnist-digit-recognizer", "kernel_id": "96903255"}, {"ref": "yugbargaway/mnist", "kernel_id": "96652173"}, {"ref": "anshumaanmishra02/custom-mlp", "kernel_id": "96653254"}, {"ref": "rahuld484/digit-recognizer-using-cnn", "kernel_id": "96433723"}, {"ref": "iftekharcs/fixed-introduction-to-cnn-keras", "kernel_id": "96008216"}, {"ref": "jinanshdalal/mnist", "kernel_id": "96652253"}, {"ref": "shreynayakpara/mnist-final", "kernel_id": "96826122"}, {"ref": "oishinandi/mnist-digit-classifier", "kernel_id": "96652189"}, {"ref": "prabhutiarora/notebook1cb8f117d0", "kernel_id": "96653739"}, {"ref": "saxenatanishq/mnist", "kernel_id": "96652591"}, {"ref": "xiaotao89/digit-recognizer", "kernel_id": "96257406"}, {"ref": "kath1512/fc-nn-for-mnist", "kernel_id": "96241918"}, {"ref": "kt0707/digit-detector", "kernel_id": "96652777"}, {"ref": "netranan/notebookfc8ddd8c03", "kernel_id": "96781154"}, {"ref": "kadenchow/mnist-datatset-neural-network-practice", "kernel_id": "96437404"}, {"ref": "aryanraut245/notebook48a2b997b2", "kernel_id": "96654654"}, {"ref": "kranthikumarkoneti/nn-with-numpy-math", "kernel_id": "96947586"}, {"ref": "iamabhaydawar/neural-net-from-scratch", "kernel_id": "97888644"}, {"ref": "harshithvarma007/convolutional-neural-network-cnn", "kernel_id": "97818971"}, {"ref": "dolevevenhaim/digit-recognizer-knn", "kernel_id": "97841138"}, {"ref": "talhasiddique123/pca-on-mnist", "kernel_id": "97841292"}, {"ref": "afonsojulio/ame-unidade-2-reconhecimento-de-imagem", "kernel_id": "97747241"}, {"ref": "ayushsahu882004/notebook63db2d20a0", "kernel_id": "97537537"}, {"ref": "kaustubhkaka/mnistkaka", "kernel_id": "97523169"}, {"ref": "nahidsarkar/pca-algorithm", "kernel_id": "97995603"}, {"ref": "sofiyanshaik/all-ml-algos-updated-to-new-version", "kernel_id": "97116394"}, {"ref": "astrocircuit/active-learning-mnist-comparison", "kernel_id": "97966134"}, {"ref": "sudeuyr/r-nt-tan-ma-3", "kernel_id": "97987836"}, {"ref": "zy1842732381/cnn-digit-recognition", "kernel_id": "97824104"}, {"ref": "winvoker/digit-recognizer", "kernel_id": "98217223"}, {"ref": "assylzhanizbassar/digit-recognizer-with-nn", "kernel_id": "98316518"}, {"ref": "bridgeoverwater/efficientnet-with-lr-scheduler-scores-0-993", "kernel_id": "98134162"}, {"ref": "jay25patel/notebookfaaea6d2cd", "kernel_id": "98332704"}, {"ref": "vanshika100/code-neural-fuzzy-project", "kernel_id": "98115175"}, {"ref": "aminrezabahrami/pytorch-tutorial-for-deep-learning-lovers", "kernel_id": "98223566"}, {"ref": "aadhvikakoundinya/feedforward-nn-practice", "kernel_id": "98065909"}, {"ref": "tanishkalkal/tanish-202401100700195-c-ece-case-study3", "kernel_id": "98953112"}, {"ref": "kath1512/cnn-for-mnist", "kernel_id": "98289008"}, {"ref": "kath1512/cnn-for-fashion-mnist", "kernel_id": "98407791"}, {"ref": "tanishq2477/tanishq-202501200700001-ece-c-casestudy-3", "kernel_id": "98953971"}, {"ref": "sunghyuneun/numpy-mnist", "kernel_id": "98686423"}, {"ref": "hadal84/digit-recognizer-with-mnist", "kernel_id": "98607508"}, {"ref": "tushyakhandelwal/pranavvvvv", "kernel_id": "98674801"}, {"ref": "sakshamgupta000/notebook96f25060e1", "kernel_id": "98947118"}, {"ref": "theriseof9/cnn-task-2", "kernel_id": "99202486"}, {"ref": "avinashkarthik08/feedforward-nn-practice-avi", "kernel_id": "99180710"}, {"ref": "ajitashwath/digit-classifier", "kernel_id": "99141838"}, {"ref": "myeonghwanhan/distillvit-vit-for-mnist-from-scratch", "kernel_id": "99639222"}, {"ref": "kifayatullahe/explain-pca-with-graphs", "kernel_id": "99343795"}, {"ref": "afr1ste/afr1ste-s-answer-for-digit-recognition", "kernel_id": "99380679"}, {"ref": "vishalchoudhary7731/assignment2", "kernel_id": "99896755"}, {"ref": "borivan/small-but-accurate-attention-on-pixels-53k-model", "kernel_id": "100802791"}, {"ref": "luoabooe/ml-final-project-mnist-detection-yolov5", "kernel_id": "100264743"}, {"ref": "yousefahmedyousef/nn-from-scratch", "kernel_id": "100534442"}, {"ref": "eunhagfriend/notebooke119a3132c", "kernel_id": "100103517"}, {"ref": "aadhvikakoundinya/convolutional-nn-tutorial", "kernel_id": "100069220"}, {"ref": "shriyadiya0807/pca-learn", "kernel_id": "100377404"}, {"ref": "shubhamrenuke/pca-practice", "kernel_id": "100218298"}, {"ref": "thisau/chay-duoc-di", "kernel_id": "100426663"}, {"ref": "masayakawamata/fold-avg-vs-full-data-mnist", "kernel_id": "101089482"}, {"ref": "avinashkarthik08/notebookcf315da0c4", "kernel_id": "101801196"}, {"ref": "renka1/19-11-25-renka-ai-5", "kernel_id": "101490298"}, {"ref": "jawwadgul/pca-demo", "kernel_id": "101136015"}, {"ref": "shanmukh0991/mnist-neural-network-using-math", "kernel_id": "101855431"}, {"ref": "jaizzer/142-nnn", "kernel_id": "101122400"}, {"ref": "jaizzer/142-cnn", "kernel_id": "101122401"}, {"ref": "gamzebabayigit/digitrecognizer", "kernel_id": "101902436"}, {"ref": "davidrpugh/cs-209-assignment-3-starter", "kernel_id": "102938010"}, {"ref": "stpeteishii/mnist-classification-with-tensorflow-js-export", "kernel_id": "102932918"}, {"ref": "mminbaol/digit-recognizer", "kernel_id": "102912918"}, {"ref": "syedhussain11123/mnist-digit-classifier-model", "kernel_id": "102650935"}, {"ref": "kunalkashyap29/pca-logistic-regression", "kernel_id": "102688595"}, {"ref": "amiraabdalla/projectversion2", "kernel_id": "102810908"}, {"ref": "santoshanand102030/notebook4f9d98c04a", "kernel_id": "102442325"}, {"ref": "dinethrandula/digit-recognizer-cnn", "kernel_id": "102540093"}, {"ref": "shahdashrafrabiey/detection-yolov5", "kernel_id": "102140235"}, {"ref": "nizarahmadbaihaqi/mnist-simple-cnn-keras-accuracy-0-99-top-1", "kernel_id": "102392367"}, {"ref": "shivanshbhargav/digit-recognizer", "kernel_id": "102450275"}, {"ref": "khwahishseth/digit-recognizer", "kernel_id": "102793058"}, {"ref": "ahmadalbinali/notebook222affc3bd", "kernel_id": "102724708"}, {"ref": "mai2025/digit-recognizer-challange", "kernel_id": "102102953"}, {"ref": "friedelepple/digits-pytorch-lightning", "kernel_id": "102337789"}, {"ref": "rostick/math-for-ai", "kernel_id": "102119413"}, {"ref": "yeefanlu/digit-recognizer-by-google-net-and-resnet", "kernel_id": "102843394"}, {"ref": "jawdatshaat12/final-project", "kernel_id": "102806689"}, {"ref": "elifsyigit/neural-network-from-scratch", "kernel_id": "102810910"}, {"ref": "augusto259/algoritmo", "kernel_id": "102911178"}, {"ref": "ridhanf/digit-recognizer-pytorch", "kernel_id": "103930788"}, {"ref": "ahmsag/cs209-assignment-3", "kernel_id": "103619603"}, {"ref": "mysha1rysh/digit-recognizer-pytorch", "kernel_id": "103968926"}, {"ref": "gabriel1122/digit-recognizer", "kernel_id": "103099231"}, {"ref": "cziguan/notebook22f7b57f9b", "kernel_id": "103161311"}, {"ref": "natiqali/cs-209-assignment-3-starter", "kernel_id": "103844462"}, {"ref": "chillajagadesh/digit-recognizer", "kernel_id": "103811119"}, {"ref": "chandrikabuddha415/training-nn-from-scratch", "kernel_id": "103768924"}, {"ref": "ayushbhosale/backprop-from-scratch", "kernel_id": "103465565"}, {"ref": "saadjawad/cs-209-assignment-3-starter", "kernel_id": "103558902"}, {"ref": "ganeshawh/mnist-model", "kernel_id": "103634041"}, {"ref": "haadiyaiman/neural-net-from-scratch-mnist", "kernel_id": "103343403"}, {"ref": "shenshiyun/308-digit-recognizer-train-baseline-3", "kernel_id": "103972008"}, {"ref": "shenshiyun/308-digit-recognizer-infer-baseline-3", "kernel_id": "103972851"}, {"ref": "shenshiyun/308-digit-recognizer-pseudo", "kernel_id": "103977189"}, {"ref": "pamalkrmondal/digit-recognizer-computer-vision-fundamental", "kernel_id": "103464519"}, {"ref": "yusufmurtaza01/digit-recognizer-lr-lgr-rf-svm-knn", "kernel_id": "103274229"}, {"ref": "yusufmurtaza01/digit-recognizer-simple-ann-guide", "kernel_id": "103278611"}, {"ref": "abdulfetahadem/digit-recognize", "kernel_id": "103156608"}, {"ref": "vineethvaranasi/mnist-upload", "kernel_id": "103147367"}, {"ref": "ahmedsayed0007/impelementation-for-ann-from-scratch", "kernel_id": "103390872"}, {"ref": "buthainahalobaidli/dseg660-final-project-digit-recognizer", "kernel_id": "103839196"}, {"ref": "rishiakkina/digits-from-scratch", "kernel_id": "103447116"}, {"ref": "ayaessam12/mnist-dataset-100-accuracy", "kernel_id": "103276713"}, {"ref": "sanjogbhalla/part3-pca-demo", "kernel_id": "103549089"}, {"ref": "manuqueie/digit-recognizer-cnn-in-pytorch-vs-tensorflow", "kernel_id": "103442922"}, {"ref": "tritonmei/fork-of-project-7-mnist-small-cnn-46-3", "kernel_id": "103425902"}, {"ref": "dinosabotic/cs-209-assignment-3-starter", "kernel_id": "103647662"}, {"ref": "rayanshahzad/cs-209-assignment-3-rayanshahzad", "kernel_id": "103455220"}, {"ref": "thiagovirginio/assignment-3", "kernel_id": "103643288"}, {"ref": "alsaiariabdulrahman/assignment-3-submission", "kernel_id": "103661302"}, {"ref": "khalidjaris/cs-209-mnist-dataframe-hw3-khalid-siraj", "kernel_id": "103545523"}, {"ref": "yazeedalroogi/cs-209-assignment-3-starter", "kernel_id": "103962018"}, {"ref": "hassanhizeh7/cs-209-assignment-3-starter", "kernel_id": "103404413"}, {"ref": "marykro/mnist-nn-digit-recognizer", "kernel_id": "103745946"}, {"ref": "marykro/mnist-digit-recognizer-with-logistic-regression", "kernel_id": "103763805"}, {"ref": "randsar/rand-cs209-assignment-3", "kernel_id": "103884889"}, {"ref": "menacara/cs-209-project3-menacarafael", "kernel_id": "103648667"}, {"ref": "fazilkamar/cs-209-assignment-3-fazil", "kernel_id": "103398226"}, {"ref": "elmaghawryisf/cs-209-assignment-3-starter", "kernel_id": "103403659"}, {"ref": "shaymaamahmoud/cs-209-assignment-3", "kernel_id": "103653309"}, {"ref": "alimohamed216736/cs-209-assignment-3-starter", "kernel_id": "103404053"}, {"ref": "sondosquqandi/cs-209-assignment-3-starter", "kernel_id": "103636314"}, {"ref": "vaibhavimalemath7/mnist-dataset-digit-recognizer", "kernel_id": "103818684"}, {"ref": "yessirkepova/notebook1f77607ca5", "kernel_id": "103793055"}, {"ref": "abdulmannaan12/digit-recognizer-cnn-in-pytorch-vs-tensorflow", "kernel_id": "103132882"}, {"ref": "salmachtouroubi/impl-mentation-d-un-mod-le-de-diffusion-avec-u-net", "kernel_id": "103310790"}, {"ref": "anjalirayyy/pca-mnist", "kernel_id": "103928295"}, {"ref": "mohitrajemdramahajan/minst-dataset-digit-classification", "kernel_id": "103246887"}, {"ref": "hosseinbadrnezhad/com-centering-cnn-3-seed-9-shift-tta", "kernel_id": "103676608"}, {"ref": "hosseinbadrnezhad/digit-recognizer-high-accuracy-cnn-with-tta-en", "kernel_id": "103632716"}, {"ref": "elidar/elidar-notebook", "kernel_id": "103052145"}, {"ref": "shivprakash13/dl-mnist-classification", "kernel_id": "103173317"}, {"ref": "lyy1027/mnist-lyy", "kernel_id": "103373121"}, {"ref": "mysha1rysh/mnist-pytorch-mlp-99-24-accuracy", "kernel_id": "104360204"}, {"ref": "saurabhjumnalkar/notebook4e7e08126e", "kernel_id": "104389063"}, {"ref": "hadjahmed/cs-209-assignment-3-starter", "kernel_id": "104370351"}, {"ref": "brucemcgoose/cs-209-assignment-3-starter-youssef-alalawi", "kernel_id": "104301464"}, {"ref": "silamine/cs-209-assignment-3-starter", "kernel_id": "104073500"}, {"ref": "fot66hg76/modified-mnist", "kernel_id": "104531720"}, {"ref": "nikee7/leakage-sklearn-knn-lb-1-00", "kernel_id": "104989602"}, {"ref": "saumyayadav25/pca-demo", "kernel_id": "104987902"}, {"ref": "raymoa/assignment3-cs209", "kernel_id": "104075889"}, {"ref": "inhvnphc/digit-recog", "kernel_id": "104424673"}, {"ref": "ayatelzook/simple-mnist-nn-from-scratch", "kernel_id": "104004507"}, {"ref": "ahmedsayed0007/impelementation-for-cnn-from-scratch", "kernel_id": "104568542"}, {"ref": "shreeyashah/pca-knn-digits-recognizer", "kernel_id": "104333310"}, {"ref": "shreeyashah/pca-optuna-digits-recognizer", "kernel_id": "104287032"}, {"ref": "starwarsyoda/pca-demo", "kernel_id": "104996036"}, {"ref": "shivams811/mnist-digit-classification-using-cnn-cv-ensemble", "kernel_id": "104629519"}, {"ref": "muhammadhassnain11/comparative-analysis-of-ml-vs-dl-models-on-images", "kernel_id": "104901260"}, {"ref": "charankulal0987/charankulal-digit-recogniser", "kernel_id": "104858291"}, {"ref": "zaahaa/digit-prediction", "kernel_id": "104882749"}, {"ref": "gundophalanndwa/mnist-machine-learning", "kernel_id": "104294150"}, {"ref": "nishu65/digit-recognize", "kernel_id": "104543322"}, {"ref": "djo090/assignment-3-frih-jawhar", "kernel_id": "104345498"}, {"ref": "r1ta1slearn1ngn0w/notebook960877afa2", "kernel_id": "104674776"}, {"ref": "eleftheria14/digit-recognizer-introduction-to-computer-vision", "kernel_id": "104802880"}, {"ref": "hadeerahmedmourad/convolutional-neural-network-cnn-tutorial", "kernel_id": "104278591"}, {"ref": "jorgeava99/cs-209-assignment-3-jorgevazquez", "kernel_id": "104366635"}, {"ref": "ashhadm785/cs-209-assignment-3-ashhad", "kernel_id": "104267728"}, {"ref": "batoolahmedaleid/cs-209-assignment-3-starter", "kernel_id": "104085151"}, {"ref": "ahmedfelemban/ahmed-felemban-mnist", "kernel_id": "104087506"}, {"ref": "naifturkialotaibi/cs-209-assignment-3", "kernel_id": "104389160"}, {"ref": "itzelalcalrivas/asst-3-itzelalcala", "kernel_id": "104021417"}, {"ref": "taibazeya001/cs-209-assignment-3-starter", "kernel_id": "104094884"}, {"ref": "fhakimihsan/cs-209-assignment-3-starter", "kernel_id": "104275037"}, {"ref": "malostaz123/cs209-hw3-ma", "kernel_id": "104289468"}, {"ref": "shraddha4ever20/pcademo2", "kernel_id": "104933217"}, {"ref": "kewang24/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "104184813"}, {"ref": "meishihao/notebook7393a5120c", "kernel_id": "104362415"}, {"ref": "nnsssadithya/kdigits-pytorch", "kernel_id": "105777651"}, {"ref": "nnsssadithya/kdigits-ml", "kernel_id": "105945215"}, {"ref": "ahmedmaherelsaeidy/en-ar-handwritten-digits-recognizer", "kernel_id": "105238887"}, {"ref": "sakibbai/digit-recognition-demo", "kernel_id": "105144354"}, {"ref": "sarahhdd/comment-fonctionne-un-gan", "kernel_id": "105831428"}, {"ref": "sakethcherukuri/nn-from-scratch", "kernel_id": "105385175"}, {"ref": "fsb2210/cnn-architecture-lab-systematic-design", "kernel_id": "105795876"}, {"ref": "garvsachdeva0205/mnist-digit-recognizer-from-eda-to-cnn-beginner", "kernel_id": "105703352"}, {"ref": "adityasharma20032005/voting-ensemble", "kernel_id": "105231550"}, {"ref": "vickskigoli/pca-demo", "kernel_id": "105603111"}, {"ref": "bavatharanivethamani/notebook374935f14d", "kernel_id": "105229423"}, {"ref": "bavatharanivethamani/notebooke016ab8f50", "kernel_id": "105221924"}, {"ref": "atifkhan12/cnn-hand-written-digit", "kernel_id": "105494922"}, {"ref": "rudrapratapsingh1534/learning-neural-net", "kernel_id": "105247026"}, {"ref": "uma234/handwritten-digit-recognition-using-convolutional", "kernel_id": "105687389"}, {"ref": "mohammedalalii/neural-network-from-scratch-for-handwritten-digit", "kernel_id": "105609091"}, {"ref": "harshitashibe24/cnn-features-vs-raw-pixels-ml-on-mnist", "kernel_id": "105158624"}, {"ref": "silwaldipin/pca-demo", "kernel_id": "105357204"}, {"ref": "odvut1/knn-pca-mnist-digit-recognizer", "kernel_id": "105474419"}, {"ref": "harshvardhanrathore1/pca2-ipynb", "kernel_id": "105646801"}, {"ref": "hitarthpatel24/ml-learn-4", "kernel_id": "105228581"}, {"ref": "anthonytoffetti/digit-recognition-lenet-5-ai-is-old-cat", "kernel_id": "105004165"}, {"ref": "harshanaperianayakib/notebook3560777522", "kernel_id": "105318140"}, {"ref": "harshanaperianayakib/day-3-cnn-on-mnist", "kernel_id": "105523910"}, {"ref": "emretarran/nn-with-just-numpy-for-mnist-dataset", "kernel_id": "105972722"}, {"ref": "nngocthienn2004/notebook9749589a8a", "kernel_id": "105527742"}, {"ref": "srivishnuvikyaths/my-first-neural-network", "kernel_id": "105698799"}, {"ref": "fffhyun/digit-recognizer-using-resnet18", "kernel_id": "105848906"}, {"ref": "masanakashima/digit-recognizer-solution-baseline", "kernel_id": "106001937"}, {"ref": "masanakashima/digit-recognizer-resnet18-pytorch", "kernel_id": "106002718"}, {"ref": "masanakashima/digit-recognizer-solution-v2-cnn-batchnorm", "kernel_id": "106002623"}, {"ref": "ayush1k/digit-recognition-pca", "kernel_id": "106584828"}, {"ref": "rishabhkannaujiya/99-5-accuracy-cnn-tensorflow", "kernel_id": "106087660"}, {"ref": "prashantdubey2107/3-hiddenlayerneuralnetwork", "kernel_id": "106364925"}, {"ref": "smnahidhasannascenia/convolutional-neural-network-cnn-on-mnist-digit-2", "kernel_id": "106556132"}, {"ref": "sumangiri2002/pca-demo", "kernel_id": "106843731"}, {"ref": "rudranshmathur/digit-recognizer-practice", "kernel_id": "106374872"}, {"ref": "halilbrahimzkul/variantional-autoencoders-vae", "kernel_id": "106357173"}, {"ref": "halilbrahimzkul/mnist-with-dcgan", "kernel_id": "106099029"}, {"ref": "federicorausa/backprop-in-pytorch", "kernel_id": "106106936"}, {"ref": "srishti52/pca-demo", "kernel_id": "106718992"}, {"ref": "reubenjosephisidoro/simple-architecture-for-mnist-0-9955", "kernel_id": "106761896"}, {"ref": "reigarefalda/belajar-multilayer-perceptron-digit-pytorch", "kernel_id": "106708709"}, {"ref": "lostdecimal27/digitrecognizer", "kernel_id": "106702013"}, {"ref": "pratikdeshmukh212121/neural-network-from-scratch", "kernel_id": "106883932"}, {"ref": "syedmuhammadqasim/handwritten-digit-classification-using-ann-mnist", "kernel_id": "106158002"}, {"ref": "junesdata/digit-recognizer", "kernel_id": "106857379"}, {"ref": "kindasomethin/pca-t-sne-mnist-knn", "kernel_id": "106618893"}, {"ref": "zaahaa/simple-nn-97-accuracy-for-recognizing-numbers", "kernel_id": "106168297"}, {"ref": "ummiisnani/ummiisnani-multilayer-perceptron-digit-pytorch", "kernel_id": "106976974"}, {"ref": "ommane5676/notebook471be52249", "kernel_id": "106697459"}, {"ref": "mrshawk/digit-recognizer-mnist", "kernel_id": "106596680"}, {"ref": "pranavsridhar07/classification-using-mnist-dataset", "kernel_id": "106075252"}, {"ref": "kanishthakkar/mnist-from-scratch", "kernel_id": "106143056"}, {"ref": "kanishthakkar/digiclassifier-tensorflow", "kernel_id": "106165603"}, {"ref": "hazuna/figo-firnanda-multilayer-perceptron-digit-pytorc", "kernel_id": "106550692"}, {"ref": "hendyk/belajar-multilayer-perceptron-digit-pytorch-62c7c7", "kernel_id": "106935289"}, {"ref": "syarwanii/belajar-multilayer-perceptron-digit-pytorch", "kernel_id": "106934844"}, {"ref": "pranavkocharlakota/firstmodel", "kernel_id": "106457768"}, {"ref": "xiaoleiwww/spiking-neural-network-mnist", "kernel_id": "107126342"}, {"ref": "csmimrankhan/knn-with-accuracy-96-55", "kernel_id": "107829274"}, {"ref": "learnmore1/mnist-architecture-optimizer-shootout", "kernel_id": "107002080"}, {"ref": "izhanfakhruzi/belajar-cnn-digit-pytorch", "kernel_id": "107147829"}, {"ref": "varadvaste/ann-from-scratch-for-mnist", "kernel_id": "107178463"}, {"ref": "annisaauliaputri/annisa-aulia-putri-221230026-praktikum-mlp", "kernel_id": "107021450"}, {"ref": "lavinialei/mnist-mlp-neural-network-2026", "kernel_id": "107904268"}, {"ref": "carp0308/data-augmentation-and-neural-networks", "kernel_id": "107802148"}, {"ref": "debjitdas112/pca-demo", "kernel_id": "107248396"}, {"ref": "salshageona/praktikum-mlp-salsha", "kernel_id": "107104297"}, {"ref": "dimsskurn/belajar-multilayer-perceptron-digit-pytorch", "kernel_id": "107125299"}, {"ref": "fazlulkarim18/nearest-neighbor-classification-using-mnist", "kernel_id": "107583845"}, {"ref": "andika78687/praktikum-mlp-andika", "kernel_id": "107008876"}, {"ref": "raanggasa/belajar-multilayer-perceptron-digit-pytorch-be4b81", "kernel_id": "107127756"}, {"ref": "raanggasa/belajar-multilayer-perceptron-digit-pytorch", "kernel_id": "107126013"}, {"ref": "priyansupanda03/emnist-pca-knn", "kernel_id": "107945732"}, {"ref": "speedyankit/digit-recognizer", "kernel_id": "107364885"}, {"ref": "eupphh/eupph-dr-cnn", "kernel_id": "107263987"}, {"ref": "priyanshudebugs/implementing-pca", "kernel_id": "107279693"}, {"ref": "yashtayal28763/pca-lab-assignment", "kernel_id": "107060792"}, {"ref": "fitarimaudyani/belajar-cnn-digit-pytorch", "kernel_id": "107600783"}, {"ref": "ranirani12/belajar-multilayer-perceptron-digit-pytorch", "kernel_id": "107135123"}, {"ref": "kshubham0315/pca-demo", "kernel_id": "107376998"}, {"ref": "edwardjohnwashins/number-predict", "kernel_id": "107193238"}, {"ref": "namnguynnnn/digit-recognizer-cnn", "kernel_id": "107673104"}, {"ref": "namnguynnnn/eda-digit-mnist", "kernel_id": "107951016"}, {"ref": "namnguynnnn/data-augumentation-cnn", "kernel_id": "107832764"}, {"ref": "hassaan2580/mnist-handwritten-pytorch-classification", "kernel_id": "107829176"}, {"ref": "odvut1/pytorch-mnist", "kernel_id": "107329294"}, {"ref": "umyaldixit/nn-from-minst-dataset-using-linear-algebra", "kernel_id": "107509644"}, {"ref": "putrisapela/putri-sapela-l-s-221230044", "kernel_id": "107022224"}, {"ref": "mrdeptrai/cnn-mnist", "kernel_id": "107205613"}, {"ref": "gattudeepa/ai-lab-7-solution", "kernel_id": "107179035"}, {"ref": "hongyuwu1654/2-10-final", "kernel_id": "107724529"}, {"ref": "nabilanurwanyr/belajar-multilayer-perceptron-digit-pytorch", "kernel_id": "107137832"}, {"ref": "rizkyaditiaps/belajar-multilayer-perceptron-digit-pytorch", "kernel_id": "107119971"}, {"ref": "abiyufaraszzzzzz/belajar-cnn-digit-pytorch", "kernel_id": "107331090"}, {"ref": "abiyufaraszzzzzz/multilayerperceptron-abbiyyu", "kernel_id": "107127251"}, {"ref": "ciansheppard/ai-lab-7", "kernel_id": "107193797"}, {"ref": "akzhankalimatov/mnist-recognizer-kaggle", "kernel_id": "107963674"}, {"ref": "shahnawazthefather/pca-on-real-dataset", "kernel_id": "107569776"}, {"ref": "shravanbhosale03/tensorflow-for-beginner-to-advance", "kernel_id": "107515498"}, {"ref": "dimasnurrrrr/digit-recognizer", "kernel_id": "107052238"}, {"ref": "raiqahalifia/raiqahalifialinady-221230056-praktikum06mlp", "kernel_id": "107055847"}, {"ref": "bahri1234/belajar-multilayer-perceptron-digit-pytorch", "kernel_id": "107139021"}, {"ref": "brwalk/image-similarity", "kernel_id": "108714253"}, {"ref": "karlambrosius2020/novanet-max-accuracy-training", "kernel_id": "108568061"}, {"ref": "karlambrosius2020/novanet-benchmark-digit-recognizer", "kernel_id": "108562908"}, {"ref": "karlambrosius2020/novanet-clean-benchmark-feb2026", "kernel_id": "108565648"}, {"ref": "rg18aa/digit-recognizer-cnn-with-error-analysis", "kernel_id": "108908039"}, {"ref": "rabihalahmadieh/cnn-solution", "kernel_id": "108751151"}, {"ref": "durganivibalaaiandds/mlp-classifier", "kernel_id": "108065768"}, {"ref": "durganivibalaaiandds/logistic-regression", "kernel_id": "108057089"}, {"ref": "suhanigupta04/mnist-classification-cnn-99-5-accuracy", "kernel_id": "108078798"}, {"ref": "pranjalambast/neural-network", "kernel_id": "108598081"}, {"ref": "takatophy/digit-recognizer-cnn-from-scratch", "kernel_id": "108151558"}, {"ref": "krushnapalekar/pca-demo", "kernel_id": "108225887"}, {"ref": "abhineetsahay/digit-reconizer", "kernel_id": "108980353"}, {"ref": "rhythmghai/mnist-ensemble-0-99-accuracy", "kernel_id": "108703217"}, {"ref": "muralivardhani/mnist-pca", "kernel_id": "108027902"}, {"ref": "doomslayer16/mnist", "kernel_id": "108280531"}, {"ref": "angvalen/the-math-behind-a-cnn", "kernel_id": "108539665"}, {"ref": "shanquangao/digit-recognizer-1", "kernel_id": "108326665"}, {"ref": "anmolcancode/pca-practice-for-ml", "kernel_id": "108386067"}, {"ref": "beyzatopbas/digit-recognizer-mnist", "kernel_id": "108718413"}, {"ref": "magdalenasynowiec/digit-recognizer", "kernel_id": "108909391"}, {"ref": "leyuzakoksoken/digit-recognizer-mnist-computer-vision", "kernel_id": "108155661"}, {"ref": "tushardobal/digit-recognizer-with-convolutional-neural-network", "kernel_id": "108895814"}, {"ref": "pabloku/convolutional-neural-network-cnn-tutorial", "kernel_id": "108797085"}, {"ref": "alyhamdy/minst", "kernel_id": "109526906"}, {"ref": "umutcanetin/pytorch-digit-recognizer-starter-99-1-acc", "kernel_id": "109240727"}, {"ref": "diyanshipatel/word2vec", "kernel_id": "109106948"}, {"ref": "rudrapatel2833/word2vec-skipgraom-cbow-b287ff", "kernel_id": "109110424"}, {"ref": "emranalbiek/digit-recognizer", "kernel_id": "109251672"}, {"ref": "nagendrakushwah/project", "kernel_id": "109066684"}, {"ref": "lamhuy8904/he-v-i-xai-cho-minist", "kernel_id": "109526774"}, {"ref": "kayamiaki/digit-recognizer-1", "kernel_id": "109054407"}, {"ref": "mukulghai/digit-recognizer", "kernel_id": "109204482"}, {"ref": "goodkn1ght/lab-1-nn", "kernel_id": "109637873"}, {"ref": "nishu65/digit-recognizer", "kernel_id": "109685867"}, {"ref": "krishverma6797/pca-demo", "kernel_id": "109387976"}, {"ref": "sehaj1104/mnist-digit-recognizer-starter", "kernel_id": "109205360"}, {"ref": "sehaj1104/digit-recognizer-99-deep-cnn-pipeline", "kernel_id": "109207982"}, {"ref": "rajashekharreddy227/pca-on-digit-recognition", "kernel_id": "109329691"}, {"ref": "abdullah3243/tensorflow", "kernel_id": "109521466"}, {"ref": "lorenzoscaturchio/digit-recognizer-cnn-to-99-percent", "kernel_id": "110275469"}, {"ref": "emrebaranarca/cnn-digit-recognizer", "kernel_id": "110721026"}, {"ref": "patrycjagociniak/mnist-digit-recognizer-lr-mlp-cnn-5-fold-cv", "kernel_id": "110091966"}, {"ref": "zahramollaey/digits-classification-cnn-mastery", "kernel_id": "110343363"}, {"ref": "enavayaz/notebookabd1cddf35", "kernel_id": "110071415"}, {"ref": "skarin/from-pixels-to-predictions-percep-vs-ann-vs-cnn", "kernel_id": "110962697"}, {"ref": "femaledeveloper/dcgan", "kernel_id": "110829052"}, {"ref": "kuusistotuomas/digit-recognizer", "kernel_id": "110336680"}, {"ref": "njuspy/digit-recognizer-pytorch", "kernel_id": "110916841"}, {"ref": "saadmohamed99/svm-acc97", "kernel_id": "110068065"}, {"ref": "arslanrejepov/knn-class", "kernel_id": "110983879"}, {"ref": "goodkn1ght/lab-2-nn", "kernel_id": "110180017"}, {"ref": "goyalmayaankk/pca-on-mnist-dataset", "kernel_id": "110010407"}, {"ref": "tanvirmahamood/recognizing-digits-with-pca", "kernel_id": "110661264"}, {"ref": "abhishekgupta56447/digit-recognizer", "kernel_id": "110177054"}, {"ref": "jeanjfernandes/digit-recognizer-prediction", "kernel_id": "110753503"}, {"ref": "beyzatopbas/project-digit-recognizer-mnist", "kernel_id": "110791367"}, {"ref": "bikrambarik/pca-demo", "kernel_id": "110184593"}, {"ref": "aiwithanu/pca-applied-on-mnist", "kernel_id": "110061870"}, {"ref": "onlyniteshh/using-pca", "kernel_id": "110148597"}, {"ref": "muhtasintowkir/digit-recogniser-ann-towkir", "kernel_id": "110187576"}, {"ref": "arthurmarquess/trabalho-final-minera-o-de-dados", "kernel_id": "110848268"}, {"ref": "shahadalqahtani92/dl-assignment1", "kernel_id": "110242163"}, {"ref": "aurotac/a-simple-digit-recognizer-using-xgboost-classifier", "kernel_id": "110308024"}, {"ref": "kiranf31/l248003", "kernel_id": "110793425"}, {"ref": "vedattumen/derin-renmenin-temelleri", "kernel_id": "111837912"}, {"ref": "akhmadfajri/mnist-2022", "kernel_id": "111984309"}, {"ref": "avik090/digit-recognizer", "kernel_id": "111454006"}, {"ref": "hunter10bt/mnist-2022", "kernel_id": "111863225"}, {"ref": "rabahmokhtari/workshop-nhsm26-p2", "kernel_id": "111738885"}, {"ref": "jjleesunny/mnist-dnn", "kernel_id": "111320518"}, {"ref": "mrsohelranapro/data-driven-digit-recognizer-ai", "kernel_id": "111255291"}, {"ref": "platonperov/cv-hw-ml", "kernel_id": "111866798"}, {"ref": "mohaffan/mnist-2022", "kernel_id": "111865074"}, {"ref": "sabaafirdous/mnist-handwritten-digit-classification-comparison", "kernel_id": "111374467"}, {"ref": "yusuferenkaragz/mnist-number-classification-0-9-no-tf-only-numpy", "kernel_id": "111571607"}, {"ref": "arnavde/digitrecognizer", "kernel_id": "111556545"}, {"ref": "cerxxxx/digit-recognizer", "kernel_id": "111077252"}, {"ref": "b0o0da/multi-hidden-layer-digit-recognizer", "kernel_id": "111356770"}, {"ref": "daoviet/neural-network-from-tensor", "kernel_id": "111816085"}, {"ref": "daoviet/neural-network-from-numpy", "kernel_id": "111817845"}, {"ref": "rana963/digit-recognition-kaggle-notebook", "kernel_id": "111400352"}, {"ref": "zezinnnhnh/fork1-of-notebookbaa5eb5aa8", "kernel_id": "111339886"}, {"ref": "zezinnnhnh/fork2-of-notebookbaa5eb5aa8", "kernel_id": "111348781"}, {"ref": "zezinnnhnh/notebookbaa5eb5aa8", "kernel_id": "111332986"}, {"ref": "saifhany259/digit-recognizer-acc-99-5", "kernel_id": "111432376"}, {"ref": "od1nlm/cnn-var-1", "kernel_id": "111336310"}, {"ref": "kostya138/mnist-resnet-training-0-993-accuracy", "kernel_id": "111394096"}, {"ref": "pateldarshil44/mnist-pca", "kernel_id": "111292709"}, {"ref": "silvinahariati/mnist-2022-silvina", "kernel_id": "111863509"}, {"ref": "christopherlucasj/mnist-2022", "kernel_id": "111863249"}, {"ref": "zaeemnasir7/deeplearning-assignment-1", "kernel_id": "111846995"}, {"ref": "williamfh91/mnist-2022", "kernel_id": "111863208"}, {"ref": "jalesummak/digitrecognition-mnist", "kernel_id": "111560577"}, {"ref": "kemaldemirba/mnist-cnn-classifier-99-accuracy", "kernel_id": "111459790"}, {"ref": "arkanzahir/digit-recognizer-cnn-pytorch-99-4-accuracy", "kernel_id": "111219061"}, {"ref": "smgrieggs/mnist-expands", "kernel_id": "112584796"}, {"ref": "elvenmonk/sine-multi-scale-cnn-99-1399-params-11-class", "kernel_id": "112157649"}, {"ref": "faizanatif/performance-comparison-of-perceptron-mlp-and-cnn", "kernel_id": "112256498"}, {"ref": "muhammadtalharao/weighing-up-single-layer-multi-layer-and-cnn", "kernel_id": "112557244"}, {"ref": "edeniyanda/imagerecognitionnb", "kernel_id": "112725115"}, {"ref": "barackaboba/notebook8c7fe7ae7c", "kernel_id": "112164605"}, {"ref": "kamalpasha/perceptron", "kernel_id": "112365181"}, {"ref": "noorulainnnn/mnist-handwritten-digit-classification", "kernel_id": "112093032"}, {"ref": "nnv747/conv-pytorch", "kernel_id": "112548226"}, {"ref": "xuanhuydinh/principle-component-analysis-on-mnist", "kernel_id": "112278650"}, {"ref": "yameteshka/yameteshka-digit-recognizer-svm", "kernel_id": "112166839"}, {"ref": "daoviet/cnn-from-tensor", "kernel_id": "112168106"}, {"ref": "goodkn1ght/lab-4-nn", "kernel_id": "112192250"}, {"ref": "izanmoyaromero/digit-recognizer", "kernel_id": "112837597"}, {"ref": "niearanie/mnist-2022", "kernel_id": "112007848"}, {"ref": "zaeemnasir7/mlp-mnist", "kernel_id": "112095320"}, {"ref": "zaeemnasir7/cnn-lenet-mnist", "kernel_id": "112095154"}, {"ref": "zaeemnasir7/perceptron-mnist", "kernel_id": "112094144"}, {"ref": "zaeemnasir7/deeplearning-assignment1-25l-8021", "kernel_id": "112087593"}, {"ref": "rodiyatulfathonah/mnist-2022", "kernel_id": "112007971"}, {"ref": "dellahartikaputri/mnist-2022", "kernel_id": "112006937"}, {"ref": "rupeshkumar780/pca-digit-recognizer", "kernel_id": "112494782"}, {"ref": "rishabhmall/nnscratch", "kernel_id": "112845177"}, {"ref": "plkwok16/convolutional-neural-network-for-digit-recognition", "kernel_id": "112062572"}, {"ref": "abdullahmsds2025/notebook8b0cc3deb1", "kernel_id": "112504173"}, {"ref": "hiyamazumder/notebook52817b3e61", "kernel_id": "112752695"}, {"ref": "gastnhugo/fc-layers2", "kernel_id": "113000120"}, {"ref": "guillermolvarez/simple-jepa-mnist-dataset", "kernel_id": "113092760"}, {"ref": "amlear/notebook7777", "kernel_id": "113533054"}, {"ref": "amlear/cnn-mnist-data-augmentation-99-9", "kernel_id": "113527460"}, {"ref": "apachikoff/mnist-99-74-with-convoluted-nn-and-keras", "kernel_id": "113456314"}, {"ref": "apachikoff/notebook20a6e62fa0", "kernel_id": "113456882"}, {"ref": "camilotorres26/handwritten-digit-classification-using-cnn", "kernel_id": "113056364"}, {"ref": "steavendavidson/mnist-225210736", "kernel_id": "113690823"}, {"ref": "shravankumarmurki/mnist-classifier", "kernel_id": "113001641"}, {"ref": "varunchourasia/pca-guide", "kernel_id": "113597041"}, {"ref": "michaelnabil88/digits-recognition", "kernel_id": "113701568"}, {"ref": "hienhiengaga/23127057-tgmt-lab03-ann", "kernel_id": "113713825"}, {"ref": "lengocnamk18hl/dbm301m", "kernel_id": "113037138"}, {"ref": "ebjdoe/digit-recognizer-what-the-pixels-actually-tell-you", "kernel_id": "113043465"}, {"ref": "omjbhisra/pca-practice", "kernel_id": "113730098"}, {"ref": "koushikupadhyay/digi-recogniser", "kernel_id": "113865198"}, {"ref": "romanrajan/notebookfbad5f43a5", "kernel_id": "113059554"}, {"ref": "abdullah65621/pca-part-2", "kernel_id": "113448039"}, {"ref": "abeldoni/notebook55695d3c25", "kernel_id": "113688211"}, {"ref": "justikhsan/mnist-2022", "kernel_id": "113597684"}, {"ref": "jimjeremyjustin/mnist-2022", "kernel_id": "113691175"}, {"ref": "richardqin404/cnn-digit-recognizer", "kernel_id": "113029438"}, {"ref": "ankan255/notebookfd93847ec6", "kernel_id": "113179544"}, {"ref": "guneetbaweja16/lab9-aiml", "kernel_id": "113381961"}, {"ref": "abhi4ever28/pca-demo", "kernel_id": "113112006"}, {"ref": "rohitv18/digit-recognizer-pytorch", "kernel_id": "113085192"}, {"ref": "sewaobe/python-3-6-6", "kernel_id": "113966223"}, {"ref": "daniilsv/notebookb05415d6f5", "kernel_id": "113467380"}, {"ref": "ankan2/notebook7f48f16496", "kernel_id": "113387221"}, {"ref": "abdulrafay1402/mnist", "kernel_id": "113533648"}, {"ref": "palegreendot/understanding-cnn-for-beginners-pytorch", "kernel_id": "113682973"}, {"ref": "raihan1803115/digits-mnist-classification-using-cnn", "kernel_id": "114785924"}, {"ref": "vtrnhiunhn2/notebook3400ea527a", "kernel_id": "114668805"}, {"ref": "y21cb004mahesh/mnist-nn-from-scratch", "kernel_id": "114554036"}, {"ref": "thanha26/python-3-6-6", "kernel_id": "114180333"}, {"ref": "omvhargal/pca-demo", "kernel_id": "114745050"}, {"ref": "mehmetcansever/notebook1bf35933b5", "kernel_id": "114899481"}, {"ref": "aliasgherzoaib/handwritten-digit-classification-using-cnn", "kernel_id": "114995520"}, {"ref": "leonavalluri/notebook0922c59f1a", "kernel_id": "114745047"}, {"ref": "aryahatta/fashion-mnist-classification-using-cnns", "kernel_id": "114719757"}, {"ref": "malavpatel17/digit-recognizer-pca", "kernel_id": "114843843"}, {"ref": "xaithhusnain/p-c-a", "kernel_id": "114489677"}, {"ref": "xaithhusnain/visualization", "kernel_id": "114617225"}, {"ref": "xaithhusnain/pca-ev", "kernel_id": "114792562"}, {"ref": "rudranshhh/mnist", "kernel_id": "114649661"}, {"ref": "warishaaa/cnn-assignment", "kernel_id": "114995791"}, {"ref": "palegreendot/speed-up-1-6x-gpu-p100-t4-pytorch-mnist", "kernel_id": "114245083"}, {"ref": "soulsgpt/notebooka13687ad1a", "kernel_id": "115372588"}, {"ref": "yousefelgendy/notebook549d337871", "kernel_id": "115545299"}, {"ref": "kabynks/cnn-solution", "kernel_id": "115504227"}, {"ref": "b0o0da/cnn-scratch-vs-lenet-5-digit-classification", "kernel_id": "115706566"}, {"ref": "yashlund/lenet-5-on-mnist", "kernel_id": "115169898"}, {"ref": "ohuykhi/digit-recognizer", "kernel_id": "115107029"}, {"ref": "yashbankar1412/iiiii", "kernel_id": "115872136"}, {"ref": "alsomostafiz/digits-diagnostics-domination-99-42-validation", "kernel_id": "115255909"}, {"ref": "harukayao/handwritten-digit-recognition", "kernel_id": "115686007"}, {"ref": "mericcaparrr/building-segmentation", "kernel_id": "116375342"}, {"ref": "sabaafirdous/gd-learning-midii-q1", "kernel_id": "116686043"}, {"ref": "naiyakhalid/pca-digit-recognizer-practice-1", "kernel_id": "116694348"}, {"ref": "liamislazy/mnist", "kernel_id": "116914175"}, {"ref": "reynaldhiananda/bagian2-final-kelompok1", "kernel_id": "116904501"}, {"ref": "prathikshamulgund/notebook78037f0080", "kernel_id": "116527953"}, {"ref": "lokeshpuma/digit-recognizer-g", "kernel_id": "116717321"}, {"ref": "lokeshpuma/digit-recognizer", "kernel_id": "116613453"}, {"ref": "aiaiaiooo/mnist-first-cnn", "kernel_id": "116825641"}, {"ref": "gaurikbose/pca-demo", "kernel_id": "116917799"}, {"ref": "prabhat8799/mnist-classification", "kernel_id": "116885844"}, {"ref": "yefferssonstiven/cnn0lot", "kernel_id": "116685670"}, {"ref": "hideself/bp-digit-recoginze", "kernel_id": "116616318"}, {"ref": "nabhagsorathiya/pca-implementation-with-mnist-dataset", "kernel_id": "116822884"}, {"ref": "shivcharanrajuanga/99-2-accuracy-modular-pytorch-cnn-m-series-opti", "kernel_id": "116720133"}, {"ref": "deepankishore/notebook9360e10c0e", "kernel_id": "116250590"}, {"ref": "jek1wantaufik/digit-recognition-with-cnn-tensorflow", "kernel_id": "116660223"}, {"ref": "alexdemkin/notebooke312ba2951", "kernel_id": "116098411"}, {"ref": "rebeccairlin/digit-recognizer", "kernel_id": "116451609"}, {"ref": "destinylesnowy/digit-recognizer", "kernel_id": "116202511"}, {"ref": "gibranrezaalghazzali/supervisedsoftmaxregression", "kernel_id": "116911221"}, {"ref": "devanshibhankhodia/digit-recognition", "kernel_id": "116185252"}, {"ref": "mayankpatel0404/digit-recognizer-nn-using-mnist-dataset", "kernel_id": "116289797"}, {"ref": "ivarvb/unaj26004", "kernel_id": "117216061"}, {"ref": "sadiq18/cnn-learning", "kernel_id": "117579005"}, {"ref": "wordroid/fet60-cuml50x100-ai-fa-eg-gmm", "kernel_id": "117475046"}, {"ref": "wordroid/fet60-cuml50x100-ai-fa-eg-gmm-res", "kernel_id": "117635516"}, {"ref": "wordroid/fet60-use-col-wgt-ai-fa-eg-gmm", "kernel_id": "117195841"}, {"ref": "wordroid/fet60-cuml", "kernel_id": "117049346"}, {"ref": "mtoshidesu/test-introduction-to-cnn-keras-0-997-top-6", "kernel_id": "117041281"}, {"ref": "mariamwaleeddd/mariam-s-mnist-autoencoder", "kernel_id": "117801472"}, {"ref": "shreeyashah/digit-recognizer-using-cnn", "kernel_id": "117951836"}, {"ref": "sudeerkmen/biyoinformatikresnet50", "kernel_id": "117448229"}, {"ref": "jek1wantaufik/mnist-1-nn-with-pytorch", "kernel_id": "117770108"}, {"ref": "farhodjonergashov/top50", "kernel_id": "117253715"}, {"ref": "amankhanalds123/pca-visualize", "kernel_id": "117390952"}, {"ref": "cerenannac/hw-kaggle-2", "kernel_id": "117045826"}, {"ref": "galaxy133/423830114", "kernel_id": "117272683"}, {"ref": "nlharshavardhan/digit-recognizer-system", "kernel_id": "117049603"}, {"ref": "ivarvb/unaj26008", "kernel_id": "118498943"}, {"ref": "wordroid/fet60-use-col-wgt-ai-fa-eg-gmm-res", "kernel_id": "118549140"}, {"ref": "wordroid/fet60-use-col-wgt-ai-fa-eg-gmm-res2", "kernel_id": "118989445"}, {"ref": "nishantssoni/pca-mnist", "kernel_id": "118330740"}, {"ref": "aryanathelete/pca-using-digit-recognizer", "kernel_id": "118761554"}, {"ref": "anuraggoyal2203/randomforest-mnist", "kernel_id": "118201121"}, {"ref": "praveensoni06/pca-demo", "kernel_id": "118586593"}, {"ref": "shubhammalkar/pca-using-sklearn", "kernel_id": "118949906"}, {"ref": "nbridelancetb/digit-recognizer-cnn", "kernel_id": "118104439"}, {"ref": "basaktamer/digit-recognizer", "kernel_id": "118955041"}, {"ref": "daniyadennis/ml-frameworks-and-mnist-classification", "kernel_id": "118752852"}, {"ref": "arkadutta87/arka-neural-network-v1", "kernel_id": "119564510"}, {"ref": "aakashjoshi123/mnist-multiple-models-scaling-cnn", "kernel_id": "119670556"}, {"ref": "anggidwifiani/pytorch-95-acc-without-overfitting-underfitting", "kernel_id": "119945034"}, {"ref": "mostafaelsayed7/handwritten-digit-recognition-using-cnn-mnist", "kernel_id": "119438620"}, {"ref": "praneeel/mnist-digit-classifier-1", "kernel_id": "119531029"}, {"ref": "saniarahmn/nn-numpy", "kernel_id": "119416681"}, {"ref": "bissenabbassi/rqsan-lidc-idri", "kernel_id": "119829406"}, {"ref": "srikumarsahoo/pca-method", "kernel_id": "119668782"}, {"ref": "edonisraci/mnist-pixel-images", "kernel_id": "119357595"}, {"ref": "ededa1589/mnist-worshop", "kernel_id": "119423136"}, {"ref": "hoahungnguyen/number-regconition", "kernel_id": "119904254"}, {"ref": "doanlethanhphi/05-20-22", "kernel_id": "119910168"}, {"ref": "trnna11111/xulyanh2", "kernel_id": "119904873"}, {"ref": "adam977/mnist-acc-99-70", "kernel_id": "119025854"}, {"ref": "dagenhat/notebookb883cbfc8d", "kernel_id": "119747393"}, {"ref": "manavmalik2405/pca-demo", "kernel_id": "119345674"}, {"ref": "brookdach/notebookb752c3623a", "kernel_id": "119516428"}, {"ref": "kumarsambhav04/pca-practice", "kernel_id": "119230184"}, {"ref": "naveengandepalli/mnist", "kernel_id": "119676245"}, {"ref": "tuantran2206/b-i-t-p-nh-m", "kernel_id": "119905702"}, {"ref": "wordroid/new-adaptivekde-pca-prepare-cuml", "kernel_id": "120819014"}, {"ref": "wordroid/akde-som4900", "kernel_id": "120819747"}, {"ref": "wordroid/akde-kmeans4900", "kernel_id": "120835459"}, {"ref": "wordroid/sklearn-kde", "kernel_id": "120846343"}, {"ref": "wordroid/new-adaptivekde-pca-prepare", "kernel_id": "120537394"}, {"ref": "wordroid/new-adaptivekde-pca-prepare-som4900", "kernel_id": "120595745"}, {"ref": "adessz/mlp-simples-com-keras-para-iniciantes", "kernel_id": "120134325"}, {"ref": "evgendvorkin/top-7-a-clean-cnn-with-data-aug", "kernel_id": "120413103"}, {"ref": "pushkalg/mnist-from-scratch-only-numpy", "kernel_id": "120841526"}, {"ref": "amitchauhanai/pca-demo", "kernel_id": "120672945"}, {"ref": "abdalrahman70/neural-network-from-scratch", "kernel_id": "120266044"}, {"ref": "animeshsrivastava68/neuralnetworksusingnumpy", "kernel_id": "120517672"}, {"ref": "thinhphan272/nhomthinhtai-kt1-th-deeplearning", "kernel_id": "120623444"}, {"ref": "ryuminhyuk/mnist", "kernel_id": "120506771"}, {"ref": "ryuminhyuk/mnist-resnet", "kernel_id": "120481706"}, {"ref": "darthfarhad/pca-edmo", "kernel_id": "120294659"}, {"ref": "nguynquccnh/xulyanh2-btnhom", "kernel_id": "120621128"}, {"ref": "krishsharma36907/notebook234a72b000", "kernel_id": "120696694"}, {"ref": "bharathpolisetti/pca-day49", "kernel_id": "120239558"}, {"ref": "rondii/hw1-ds", "kernel_id": "120436618"}, {"ref": "matkardivesh/digit-recognition", "kernel_id": "120317706"}, {"ref": "aryanshuklak/digit-recognizer-with-just-math", "kernel_id": "120265230"}, {"ref": "sanjeevkumarpatel/nmist-digit-recogizer", "kernel_id": "120188338"}, {"ref": "nhtkanz/b-o-c-o-dl-cnn-21-30-32", "kernel_id": "120696875"}, {"ref": "thanhchi1310/stt-28-31-33", "kernel_id": "120661935"}, {"ref": "phongtranthnh/notebook0eec12c1e1", "kernel_id": "120660998"}, {"ref": "nguynthbao05/caitienxulyanh-nhom2", "kernel_id": "120424487"}, {"ref": "deimos0810/stt-06-19-35", "kernel_id": "120695294"}, {"ref": "giavinhhhh/xulyanh", "kernel_id": "120555022"}, {"ref": "hoangcam/notebook74b2d2e604", "kernel_id": "120533458"}, {"ref": "nishantssoni/pytorch-mnist", "kernel_id": "121262268"}, {"ref": "srishtigauraha/digit-recognizer-99-9", "kernel_id": "121392132"}, {"ref": "neelkachalia/competition-mnist-image-classifier", "kernel_id": "121889007"}, {"ref": "adittoahosankabbo/mnist-digit-classification-with-cnn-tensorflow", "kernel_id": "121109162"}, {"ref": "shravankumarpandey/digit-recognizer-using-cnn", "kernel_id": "121078219"}, {"ref": "shravankumarpandey/mnist-handwritten-digit-classification-using-cnn", "kernel_id": "121068379"}, {"ref": "ledongphuoc2010/xulyanh-2001230699", "kernel_id": "121699395"}, {"ref": "baonguyenqwerty/digitrecognizer", "kernel_id": "121683764"}, {"ref": "shahahmadnoorani/pca-modeling-on-mnist", "kernel_id": "121830568"}, {"ref": "guoz112/digit-recognizer", "kernel_id": "121663263"}, {"ref": "ye070301/notebookd749e5b2f3", "kernel_id": "121645201"}, {"ref": "kutlay07/mnist-with-mlp-cnn-pytorch", "kernel_id": "121913969"}, {"ref": "afr1ste/digit-recognizer-cnn-public70k-high-score", "kernel_id": "121308891"}, {"ref": "afr1ste/digit-recognizer-cnn-public60k-high-score", "kernel_id": "121308906"}, {"ref": "afr1ste/digit-recognizer-perfect-public-mnist-match", "kernel_id": "121304921"}, {"ref": "afr1ste/digit-recognizer-cnn-public-mnist-variants", "kernel_id": "121304932"}, {"ref": "afr1ste/digit-recognizer-official-5-seed-cnn-tta", "kernel_id": "121315870"}, {"ref": "trieukhac/team-8-17-18-21-37-39-kagglemnistdataset", "kernel_id": "121825318"}, {"ref": "trieukhac/caongockhactrieu-miniresnet-kaggledataset", "kernel_id": "121786070"}, {"ref": "huangmei2504/repvgg-kaggledataset", "kernel_id": "121827082"}, {"ref": "clemencecadic/ml-digit-recognizer", "kernel_id": "121333941"}, {"ref": "zhrong/digit", "kernel_id": "121736259"}, {"ref": "rikkidholariya/pca-demo", "kernel_id": "121300732"}, {"ref": "guanjablo/digit-recognizer", "kernel_id": "121493532"}, {"ref": "kvenkatanandakumar/mnist-digit-classification-with-cnn-tensorflow", "kernel_id": "121508612"}, {"ref": "chrisopherjoshy/digit-recognizer-chunked-sgd-baseline", "kernel_id": "121019708"}, {"ref": "hovantin/th-deeplearning-s5-1-3-nhom-6-23-33-34-35", "kernel_id": "121422008"}, {"ref": "sophiahussain22/neutal-network-from-scratch-using-mnist", "kernel_id": "121673184"}, {"ref": "vdnk7k/digit-recognizer-w-mlp-relu-softmax", "kernel_id": "122371711"}, {"ref": "danasydyk/nn-from-scratch-86", "kernel_id": "122159840"}, {"ref": "adamfayz/lesson-4", "kernel_id": "122894474"}, {"ref": "kutlay07/mnist-with-cnn", "kernel_id": "122747044"}, {"ref": "nguyennhatphat0272/m-h-nh-cnn", "kernel_id": "122894830"}, {"ref": "tuanphanthai/btn-stt-23-24-38-mnist", "kernel_id": "122343860"}, {"ref": "vannhattienphan/th-deeplearning-nhom-6-23-33-34-35", "kernel_id": "122434310"}, {"ref": "kagleenjoer/notebook8f0fb1437c", "kernel_id": "123018728"}, {"ref": "rajlaxmikasture/pca-demo", "kernel_id": "123202801"}, {"ref": "kpraveenkumar566/mnist-from-scratch-nn", "kernel_id": "123486944"}, {"ref": "kishankushavaha/handwritten-digit-recognition", "kernel_id": "123065523"}, {"ref": "phakphoomwongchaiya/digit-recognizer", "kernel_id": "123457324"}, {"ref": "sdev807/cnn-digit-classifier", "kernel_id": "123996407"}, {"ref": "sodeep0986/pca-workflow", "kernel_id": "123108366"}, {"ref": "kasr21/classification-metrics-multi-mnist1", "kernel_id": "123013492"}, {"ref": "yamanop/ok-lets-do", "kernel_id": "123274470"}, {"ref": "momoneykahlon/digit-recog", "kernel_id": "123464980"}, {"ref": "rutangpatel/digit-recognizer-using-cnn", "kernel_id": "123586149"}, {"ref": "rahilpinjari/digit-reco", "kernel_id": "123119207"}, {"ref": "lehoangphuckhang/lehoangphuckhangcnn", "kernel_id": "123000084"}, {"ref": "jaithawal/pca-demo", "kernel_id": "123859471"}, {"ref": "theobustamante/digit-recognizer-test", "kernel_id": "124717171"}, {"ref": "perastra/digit-recognizer-pytorch-mlp", "kernel_id": "124388865"}, {"ref": "perastra/digit-recognizer-classical-ml-hub", "kernel_id": "124388897"}, {"ref": "perastra/digit-recognizer-cnn-ensemble", "kernel_id": "124388903"}, {"ref": "perastra/digit-recognizer-tensorflow-mlp", "kernel_id": "124388908"}, {"ref": "shambhurajejagadale/pca-practice1", "kernel_id": "124337884"}, {"ref": "altaww/mnist", "kernel_id": "124629250"}, {"ref": "wejunn/mnist-364b95", "kernel_id": "124670484"}, {"ref": "italocapuzzo/symbolic-optimizer-discovery-on-mnist-via-gp", "kernel_id": "124549793"}, {"ref": "jayantvermav73/scratch", "kernel_id": "125389716"}, {"ref": "deepshrestha/digit-recognizer-with-decision-tree-classifier", "kernel_id": "125168899"}, {"ref": "liamob96/principal-component-analysis", "kernel_id": "125214554"}, {"ref": "muhammadaqeelkabir/principle-component-analysis-with-mnist-dataset", "kernel_id": "125033533"}, {"ref": "farhanishraqq/digit-recognize-vanilla", "kernel_id": "125345134"}, {"ref": "samiullah9/neural-networks-implementation-from-scratch", "kernel_id": "125949153"}, {"ref": "santoshyadavaiexpert/digit-recognizer-cnn", "kernel_id": "125527683"}, {"ref": "soheilkhdpnh/digit-recognizer", "kernel_id": "125806470"}, {"ref": "udayawasthi/day-49-pca-ipynb", "kernel_id": "125168838"}, {"ref": "jaykumar1912/pca-demo", "kernel_id": "125668766"}, {"ref": "roshanshaik1908/pca-demo", "kernel_id": "125056151"}, {"ref": "superviseddeep/pca-prac", "kernel_id": "125181831"}, {"ref": "varunikashrees/notebookcae63e9b84", "kernel_id": "125033138"}, {"ref": "liampcassidy/neural-networks-example-summer-scholars", "kernel_id": "125671747"}, {"ref": "evanrachwalski/neural-networks-example-summer-scholars", "kernel_id": "125825175"}, {"ref": "trungfun/digital-recognizer", "kernel_id": "126972643"}, {"ref": "carlmcbrideellis/mnist-digit-recognizer-using-tabpfn-3", "kernel_id": "126222226"}, {"ref": "lukaspanos/mnist-log-reg-snn-cnn", "kernel_id": "126385699"}, {"ref": "mohammedsemai/mnist-classification-with-a-custom-pytorch-mlp", "kernel_id": "126860567"}, {"ref": "maximendacleu/digit-recognizer", "kernel_id": "126070600"}, {"ref": "tankharsh07/digit-recognizer", "kernel_id": "126142705"}, {"ref": "itsparmeet007/pca-implementation-cs2", "kernel_id": "126349640"}, {"ref": "itsparmeet007/pca-knn", "kernel_id": "126392444"}, {"ref": "karar1deepvision/lstm-long-short-term-memory", "kernel_id": "126466524"}, {"ref": "karar1deepvision/efficientnetb0-transfer-learning", "kernel_id": "126271051"}, {"ref": "karar1deepvision/mobilenetv2-transfer-learning", "kernel_id": "126248546"}, {"ref": "karar1deepvision/ann-model", "kernel_id": "126240032"}, {"ref": "karar1deepvision/transfer-learning", "kernel_id": "126244208"}, {"ref": "karar1deepvision/resnet50", "kernel_id": "126242494"}, {"ref": "karar1deepvision/deep-ann", "kernel_id": "126241630"}, {"ref": "karar1deepvision/notebook2256cbdc19", "kernel_id": "126242074"}, {"ref": "karar1deepvision/inceptionv3-transfer-learning", "kernel_id": "126281431"}, {"ref": "karar1deepvision/rnn-recurrent-neural-network", "kernel_id": "126283038"}, {"ref": "karar1deepvision/autoencoder-anomaly-detection", "kernel_id": "126630722"}, {"ref": "karar1deepvision/variational-autoencoder-vae", "kernel_id": "126631062"}, {"ref": "karar1deepvision/pytorch-neural-network", "kernel_id": "126631137"}, {"ref": "karar1deepvision/bidirectional-lstm", "kernel_id": "126630524"}, {"ref": "karar1deepvision/gru-gated-recurrent-unit", "kernel_id": "126629488"}, {"ref": "harshgupta995/pca-understanding", "kernel_id": "126955608"}, {"ref": "zqx960151285/digit-recognizer", "kernel_id": "126098444"}, {"ref": "mudassarshabir/digits-prediction", "kernel_id": "126542415"}, {"ref": "amralhorimy/digit-keras-cnn", "kernel_id": "126633460"}, {"ref": "muradmusah/mnist-from-scratch", "kernel_id": "126398020"}, {"ref": "trungfun/digit-recognizer-cnn", "kernel_id": "127462895"}, {"ref": "patrickoneil/cnnmlpkeratensorai", "kernel_id": "127259952"}, {"ref": "patrickoneil/examplenotebookensemble", "kernel_id": "127086195"}, {"ref": "patrickoneil/mlp-ensemble-cnn", "kernel_id": "127013304"}, {"ref": "travistrego45/digit-recognizer", "kernel_id": "127396121"}, {"ref": "lukaspanos/mnist-pca-k-means", "kernel_id": "127706280"}, {"ref": "xiaoniu142857/digit-recognizer", "kernel_id": "127752685"}, {"ref": "nilswernecke/simple-neural-network", "kernel_id": "127906804"}, {"ref": "asmitbaldi/pca-on-mnsit", "kernel_id": "127543240"}, {"ref": "karar1deepvision/cyclegan-unpaired-image-to-image-translation", "kernel_id": "127155122"}, {"ref": "karar1deepvision/rcgan-conditional-gan-cgan", "kernel_id": "127148890"}, {"ref": "karar1deepvision/dcgan-deep-convolutional-gan", "kernel_id": "127149146"}, {"ref": "karar1deepvision/vanilla-gan-generative-adversarial-network", "kernel_id": "127130131"}, {"ref": "sudeeppaul01/mnist", "kernel_id": "127374269"}, {"ref": "dakshyadav3957/pca-testing", "kernel_id": "127745698"}, {"ref": "sumonmohammadmahfuz/digit-recognition", "kernel_id": "127476702"}, {"ref": "phoenix3139/practice-notebook-minist", "kernel_id": "127748354"}, {"ref": "lalitkumar1997/digital-recognizer", "kernel_id": "128012709"}, {"ref": "denchai/digit-recognizer-taist-intensive-2026-teacher", "kernel_id": "128080818"}, {"ref": "utkarshtomar736/mnist-00-barecnn", "kernel_id": "128942566"}, {"ref": "masayakawamata/do-gan-generated-images-actually-help-a-classifier", "kernel_id": "128769870"}, {"ref": "vdnk7k/digit-recognizer-w-cnn-98", "kernel_id": "128139034"}, {"ref": "lamrimeriem/digit-recognizer-cnn-pytorch", "kernel_id": "128688273"}, {"ref": "tva2005/digit-recognition-nb", "kernel_id": "128856801"}, {"ref": "arminshafiei/notebook4beb08e651", "kernel_id": "128920176"}, {"ref": "arminshafiei/notebookd96599ca12", "kernel_id": "128926962"}, {"ref": "mhassan2005/pca-demo", "kernel_id": "128785729"}, {"ref": "vanha2301/digitcnn", "kernel_id": "128985326"}, {"ref": "divyanshmaheshwari56/notebook05f45fde6e", "kernel_id": "128336180"}, {"ref": "hangpm1008/mnist-dataset-digit-recognizer", "kernel_id": "128192483"}, {"ref": "hangpm1008/digit-recognition", "kernel_id": "128105509"}, {"ref": "nishanpandey2006/pca-demo-nishanxyz", "kernel_id": "128654710"}, {"ref": "pranamkumarchand/digit-recognizer-cnn-model", "kernel_id": "128383374"}, {"ref": "smilymouth/digit-recognizer", "kernel_id": "128233719"}, {"ref": "ponycarl/mnist", "kernel_id": "128892913"}, {"ref": "yhay81/your-mnist-loader-leaks-85-77-of-the-test-set", "kernel_id": "129965230"}, {"ref": "yhay81/a-typo-has-been-spreading-here-for-6-7-years", "kernel_id": "129976477"}, {"ref": "hittmg/260801mnist-day1-eda-lightgbm", "kernel_id": "129320510"}, {"ref": "anirbanmaitra/pca-using-sklearn", "kernel_id": "129054664"}, {"ref": "luoying050601/digit-recognizer-ying", "kernel_id": "129665831"}, {"ref": "ameenhasan/simple-mnist-nn-from-scratch-numpy-no-tf-keras", "kernel_id": "129882013"}, {"ref": "shivambzt/mnist-shivam", "kernel_id": "129382450"}, {"ref": "asifkhan0710/notebook5d8f2bf057", "kernel_id": "129781693"}, {"ref": "kureeltanishq/mnist-digit-recognizer-random-forest-pca-kmeans", "kernel_id": "129619572"}, {"ref": "dyyahqurniatun/digit-recognizer-cnn", "kernel_id": "129345177"}, {"ref": "ne24kit/training-workflow-pytorch-lightning-cometml", "kernel_id": "129571684"}, {"ref": "jagpreetsinghkhurana/digit-rec", "kernel_id": "129872215"}, {"ref": "nilswernecke/simple-cnn", "kernel_id": "129497620"}, {"ref": "supriyakusuma09/notebook2f54dbacb7", "kernel_id": "129571256"}, {"ref": "mrahtashamulhaq/mastering-the-digit-recognizer-with-pca", "kernel_id": "129365825"}, {"ref": "mrahtashamulhaq/pca-basic-to-advance", "kernel_id": "129374273"}, {"ref": "mohammedslimane/digit-recognition-cnn-data-augmentation", "kernel_id": "129698161"}, {"ref": "tamasnayak/principle-of-component", "kernel_id": "129064270"}, {"ref": "hasnainaliasghar941/digit-recognizer-model", "kernel_id": "129266470"}, {"ref": "michaelpirson/nielsens-network-modified", "kernel_id": "129364400"}, {"ref": "yutsyouknow/digit-recognizer", "kernel_id": "129909277"}, {"ref": "himanshu2l/digital-recognizer-pytorch", "kernel_id": "129684139"}, {"ref": "raccoon2/digit-recognizer-cnn-pytorch-score-0-99657", "kernel_id": "129412343"}, {"ref": "yhay81/a-vlm-reads-mnist-but-only-through-its-eyes", "kernel_id": "130046875"}, {"ref": "yhay81/four-mnist-classifiers-that-are-not-a-cnn", "kernel_id": "130009683"}, {"ref": "yhay81/a-clean-mnist-baseline-train-csv-only", "kernel_id": "130001565"}, {"ref": "shashvatsingham/the-learning-curve-is-a-power-law", "kernel_id": "130573414"}, {"ref": "vincenthwq/digit-recognizer-mlp", "kernel_id": "130901107"}, {"ref": "viralgangani/pca44", "kernel_id": "130903961"}, {"ref": "azrapatvi/notebook6fd518de17", "kernel_id": "130769932"}, {"ref": "shrutihore/shruti-nn", "kernel_id": "130596271"}, {"ref": "scheiren/notebook8ea9b22adf", "kernel_id": "130285798"}, {"ref": "sakshichaudhary91/digit-recognizer-mlp-baseline", "kernel_id": "130931712"}, {"ref": "prabhatkumararya/pca-demo", "kernel_id": "130933713"}, {"ref": "apoorvagupta2005/mnist", "kernel_id": "130942076"}, {"ref": "amanpathak1302/prinicipal-component-analysis13", "kernel_id": "130083257"}, {"ref": "ahmedfakhar123/ml-27-pca-on-mnist-using-scikit-learn", "kernel_id": "130406153"}, {"ref": "sohamkanse123/pca-learning", "kernel_id": "130843481"}, {"ref": "michaelpirson/digit-reco-with-pytorch", "kernel_id": "130504482"}, {"ref": "diogoff/pre-trained-model-for-digit-recognition", "kernel_id": "131283823"}, {"ref": "zahidbd/lecture6-nb2", "kernel_id": "131893206"}, {"ref": "hittmg/260822mnist-day2-cnn-visualizing-progress", "kernel_id": "131434611"}, {"ref": "swethaboddu/mnist-from-scratch-learned-from-samson-zhang", "kernel_id": "131285091"}, {"ref": "ayushgupta05/mnist-classification-optuna-model-ensemble", "kernel_id": "131955043"}, {"ref": "zaidrasool/mnist-nn-scratch", "kernel_id": "131931107"}, {"ref": "sudhakarverma09/digit-reconizer-using-pcas-mnist", "kernel_id": "131767618"}, {"ref": "akshaypratapsingh007/digit-recorganizer", "kernel_id": "131784161"}, {"ref": "nitinraghuvanshi19/pca-demo-visualization", "kernel_id": "131390207"}, {"ref": "prabhanshusinha/pca-demo", "kernel_id": "131181166"}, {"ref": "piyudatas/pca-first-view", "kernel_id": "131178870"}, {"ref": "aakashrajawat75/pca-demo", "kernel_id": "131509042"}, {"ref": "ahmedfakhar123/ml-39-confusion-matrix-metrics", "kernel_id": "131949273"}, {"ref": "ayushkhandelwal501/pca-try-on-digital-recognizer-dataset", "kernel_id": "131347671"}, {"ref": "g2430027/first", "kernel_id": "131452584"}, {"ref": "safianaam/digit-recognizer-mnist-handwritten-digit-classifi", "kernel_id": "131187425"}, {"ref": "miloszzembrzycki/comparing-logistic-regression-and-neural-networks", "kernel_id": "131828946"}, {"ref": "dedquoc/digit-recognizer-pytorch-cnn-baseline", "kernel_id": "132413299"}, {"ref": "hittmg/260829mnist-day3-cnn", "kernel_id": "132285687"}, {"ref": "akmo03/mnist-classifier-own", "kernel_id": "132391927"}, {"ref": "themanysh/digit-recognizer-cnn-gpu", "kernel_id": "132027475"}, {"ref": "alluvenkatareddy/notebookbacda81a16", "kernel_id": "132450491"}, {"ref": "mdmuftihabib/pca-demo1", "kernel_id": "132360594"}, {"ref": "mdmuftihabib/pca-demo", "kernel_id": "132337851"}, {"ref": "shaik11yasmin/notebook7bef26ec04", "kernel_id": "132109349"}, {"ref": "priyanshumanish/recurrent-neural-network-with-pytorch", "kernel_id": "132186185"}, {"ref": "malikahmadrasheed223/mnist-datset-using-pca", "kernel_id": "132532309"}, {"ref": "elainejose22/mnist-digit-recognizer-using-cnn", "kernel_id": "132228120"}, {"ref": "isabellaiurk24cs1181/notebook0ed1edc44b", "kernel_id": "132237008"}, {"ref": "keerthanasas2006/notebook02e766e246", "kernel_id": "132331079"}, {"ref": "iramhussain07/pca-applicaton", "kernel_id": "132178500"}, {"ref": "rajeswari6/notebook35c8399b1c", "kernel_id": "132310807"}, {"ref": "azrielgershomraj/notebook6e489e0d84", "kernel_id": "132233953"}, {"ref": "mansurulabrar/handwritten-digit-recognition-ann", "kernel_id": "132352098"}, {"ref": "blessygiftar/notebook973d53bcf8", "kernel_id": "132244138"}, {"ref": "jeedijoshua/notebook829d95deb1", "kernel_id": "132019622"}, {"ref": "shaunjoseph10/notebooka58774772d", "kernel_id": "132095194"}, {"ref": "jerinjacobj/digit-recogniser", "kernel_id": "132175843"}, {"ref": "mvsanjayniranjan/oday1", "kernel_id": "132284392"}, {"ref": "richardgracious/kaggle-digit-recogniser", "kernel_id": "132294952"}, {"ref": "hittmg/260905mnist-day4-3-xavier-vs-he", "kernel_id": "133166423"}, {"ref": "hittmg/260905mnist-day4-2-dropout", "kernel_id": "133164557"}, {"ref": "hittmg/260905mnist-day4-batchnorm", "kernel_id": "133162762"}, {"ref": "ahsanulislam/introduction-to-vit-for-mnist-digits", "kernel_id": "133527593"}, {"ref": "radhahardikar/minst", "kernel_id": "133122499"}, {"ref": "jessicaw08/digit-recognizer", "kernel_id": "133389699"}, {"ref": "mayankbhatt22/pca-demo-1", "kernel_id": "133461120"}, {"ref": "gsampathkumar01/pca-on-mnist", "kernel_id": "133724535"}, {"ref": "ryuminhyuk/variational-autoencoder", "kernel_id": "133293468"}, {"ref": "jakiduy/number-prediction", "kernel_id": "133968658"}, {"ref": "minhmeo23/digit-recognizer-v3-wide48-96-ensemble", "kernel_id": "133945646"}, {"ref": "tolentinomatthew/notebook9ee97b3918", "kernel_id": "133552875"}, {"ref": "michaelthompsondev/michael-thompson-neural-network-project", "kernel_id": "133490883"}, {"ref": "hittmg/260919mnist-day6-resnet", "kernel_id": "134910383"}, {"ref": "hittmg/260912mnist-day5-dnn", "kernel_id": "134002920"}, {"ref": "hittmg/260912mnist-day5-2-dnn-batchnorm", "kernel_id": "134054049"}, {"ref": "skynet404/mnist-digit-recognition-with-a-compact-cnn", "kernel_id": "134248128"}, {"ref": "walidwaccub/acpnn", "kernel_id": "134239423"}, {"ref": "beraterolelk/0-997-sota-digit-recognizer-deep-cnn-ensemble", "kernel_id": "134654502"}, {"ref": "beraterolelk/rank-81-sota-digit-recognizer-resnet-vgg-ensemble", "kernel_id": "134761332"}, {"ref": "sara22elgazwy/digit-recognizer-ultimatecnn-pytorch", "kernel_id": "134764382"}, {"ref": "nvimalcbn05/notebooke99fdd1bab", "kernel_id": "134522762"}, {"ref": "wesamkhalil/tk-fahdedalqasim2", "kernel_id": "134509999"}, {"ref": "saqrameen/notebookeaea65ffa8", "kernel_id": "134619594"}, {"ref": "ahmedfakhar123/ml-49-random-forest-intuition-code", "kernel_id": "134617447"}, {"ref": "channejayesh/recurrent-neural-network-with-pytorch", "kernel_id": "134633017"}, {"ref": "nastijakalugina/notebook14521c4044", "kernel_id": "134312993"}, {"ref": "ayashalmoliky/digit-recognizer-handwritten-digit-classificatio", "kernel_id": "134387505"}, {"ref": "datawithabxrehman/digit-recognizer-mnist-with-a-simple-mlp", "kernel_id": "134140590"}, {"ref": "habibalahdal/digit-recognizer-individual-submission-habib-ahmed", "kernel_id": "134609759"}, {"ref": "kkwdfd/minst-digit-recognizer-with-catboost", "kernel_id": "134840763"}, {"ref": "hittmg/260926mnist-day7-resnet-augmentation", "kernel_id": "135945037"}, {"ref": "adlmayo/mnist-digit-recognizer", "kernel_id": "135479262"}, {"ref": "alessandroflati/0-9969-with-cnn-ensembles-test-time-augmentation", "kernel_id": "135983826"}, {"ref": "randynho/digit-recognizer", "kernel_id": "135307404"}, {"ref": "urjagajera12/mnist-digit-recognizer-using-cnn", "kernel_id": "135481492"}, {"ref": "surajkaggle001/pca-on-digit-recognizer", "kernel_id": "135250120"}, {"ref": "adishisingh/pca-mnist", "kernel_id": "135378111"}, {"ref": "aryangoyal17/pca-on-mnist-dataset", "kernel_id": "135260976"}, {"ref": "sayedsamiullah/pca-on-digit-recognizer", "kernel_id": "135021329"}, {"ref": "wuyaohong/notebook0750f53618", "kernel_id": "135261242"}, {"ref": "alyhamdy/full-minsttest", "kernel_id": "136093168"}, {"ref": "raghavheloo/notebookcfe3d1a7ad", "kernel_id": "136309034"}, {"ref": "harshwardhan56/digitrecognition-ann", "kernel_id": "136424032"}, {"ref": "samarthrajput15/pca-demo-mnist", "kernel_id": "136489425"}, {"ref": "hitarthjain0/digit-recognizer-what-gets-98-percent-on-cpu", "kernel_id": "136540527"}, {"ref": "naynthedev/solve-digit-recognizer", "kernel_id": "136335928"}, {"ref": "kunkorun/notebook2909", "kernel_id": "136412145"}, {"ref": "hwoojo/cnn-digit-recognizer", "kernel_id": "136331636"}, {"ref": "tobioparinde/practice-neural-network-digit-recognition", "kernel_id": "136231139"}]}
{"competition_id": "3023", "kernels": [{"ref": "rishabhgarg1023/detecting-insults-from-social-commentary", "kernel_id": "8327738"}, {"ref": "jozefkond/silvo-sematicky", "kernel_id": "22793612"}, {"ref": "suraj520/cyberbully-detection-basics-to-advanced", "kernel_id": "37933419"}, {"ref": "pabuwalnikhil/insults", "kernel_id": "57767249"}]}
{"competition_id": "3043", "kernels": [{"ref": "imabhilash/stackoverflowproject", "kernel_id": "14286342"}, {"ref": "akhisreelibra/stack-overflow-basic-setup", "kernel_id": "15685825"}, {"ref": "aganguly/predict-closed-stackoverflowquestions-bert", "kernel_id": "15658319"}, {"ref": "hemanthhari/stack-hemanth", "kernel_id": "15879808"}, {"ref": "melanievallejos/stackoverflowproject", "kernel_id": "18857369"}, {"ref": "gulshanmishra/eda-feature-engineering-dl-modelling", "kernel_id": "24963396"}, {"ref": "themadprogramer/stack-overflow-run", "kernel_id": "26925215"}, {"ref": "aravindanr22052001/stackoverflowrun", "kernel_id": "28469557"}, {"ref": "reubenjohn/stackoverflowproject", "kernel_id": "31475509"}, {"ref": "aneeshtickoo/stackoverflowrun", "kernel_id": "32278814"}, {"ref": "fahadp/stack-overflow-closed-question", "kernel_id": "39218302"}, {"ref": "funytan/stackoverflowrun-simple-bert-classifier", "kernel_id": "40536866"}, {"ref": "atharvawerulkar/stackoverflowanalysis", "kernel_id": "52364918"}, {"ref": "priyamsaha17/predict-closed-questions-on-stackoverflow", "kernel_id": "54677716"}, {"ref": "kmohandatta/rough-work", "kernel_id": "58500831"}, {"ref": "nermeensoliman/predict-stackoverflow", "kernel_id": "58612246"}, {"ref": "rohanjulka19/notebook6e318ece8f", "kernel_id": "62290218"}, {"ref": "researcherdata/2012-stackoverflow-closed-questions", "kernel_id": "92555870"}]}
{"competition_id": "3046", "kernels": [{"ref": "augustodenevreze/users-jobs-exploration", "kernel_id": "12363857"}, {"ref": "sehandev/keras-starter-code", "kernel_id": "24874633"}, {"ref": "swofde/keras-starter-code", "kernel_id": "28069110"}, {"ref": "mracadmic/rs-project", "kernel_id": "47258568"}, {"ref": "omarkhaled002/job-recommender", "kernel_id": "49377884"}]}
{"competition_id": "3064", "kernels": [{"ref": "mpwolke/best-buy-mobile-web-site-hackathon", "kernel_id": "40220581"}, {"ref": "alejandropenagos84/xgboost", "kernel_id": "120645008"}, {"ref": "alejandropenagos84/bert4rec", "kernel_id": "120647475"}]}
{"competition_id": "3065", "kernels": [{"ref": "sriramanush123/causal-ml-gef-load-forecasting", "kernel_id": "108081558"}]}
{"competition_id": "3066", "kernels": [{"ref": "kwheng2014/eda-train", "kernel_id": "30422581"}, {"ref": "sebastianjcastro/forecasting-multiple-time-series", "kernel_id": "30107696"}, {"ref": "mohitkhurana21/mk-wind-forecast", "kernel_id": "36026444"}, {"ref": "chen527/wind-power-preidct", "kernel_id": "38624279"}, {"ref": "gmudit/time-series-analysis-ml-statmodel-tsa", "kernel_id": "40752791"}, {"ref": "shashwat5139/wind-forecasting", "kernel_id": "42257814"}, {"ref": "lmatejka/notebook-lm-12996fb6cb", "kernel_id": "43919810"}]}
{"competition_id": "3080", "kernels": [{"ref": "arsenismagilov/arsen-second", "kernel_id": "15307314"}, {"ref": "voonadhanvanth/arsen-second", "kernel_id": "29251015"}, {"ref": "koushikl/kaggle", "kernel_id": "32654054"}, {"ref": "huanguyen/random-forest", "kernel_id": "33186130"}]}
{"competition_id": "3084", "kernels": [{"ref": "mpwolke/darkworlds-skies-galaxys-zip-tar", "kernel_id": "39282764"}]}
{"competition_id": "3090", "kernels": []}
{"competition_id": "3108", "kernels": []}
{"competition_id": "3112", "kernels": []}
{"competition_id": "3126", "kernels": []}
{"competition_id": "3136", "kernels": [{"ref": "antgoldbloom/most-common-passenger-firstnames", "kernel_id": "314"}, {"ref": "antgoldbloom/lucky-names", "kernel_id": "316"}, {"ref": "antgoldbloom/testdebug", "kernel_id": "15297"}, {"ref": "antgoldbloom/a-journey-through-titanic", "kernel_id": "74801"}, {"ref": "antgoldbloom/notebook17c99052b3", "kernel_id": "100190"}, {"ref": "antgoldbloom/notebookd86c2a2ea4", "kernel_id": "102779"}, {"ref": "antgoldbloom/a-journey-through-titanic-e3a8f3be", "kernel_id": "124379"}, {"ref": "kenamaher/titanic-best-working-classifier-50e9a4", "kernel_id": "195774"}, {"ref": "kenamaher/titanic-random-forest-82-78", "kernel_id": "195779"}, {"ref": "kenamaher/titanic-how-many-factor-levels", "kernel_id": "195783"}, {"ref": "kenamaher/titanic-data-science-solutions", "kernel_id": "195768"}, {"ref": "benhamner/julia-default-script-3", "kernel_id": "3105"}, {"ref": "benhamner/t-sne-survivor-visualization", "kernel_id": "339"}, {"ref": "benhamner/fiddling-with-r", "kernel_id": "231"}, {"ref": "benhamner/random-forest-benchmark-r", "kernel_id": "232"}, {"ref": "benhamner/exploratory-analysis-in-r", "kernel_id": "233"}, {"ref": "benhamner/default-r-script-2", "kernel_id": "234"}, {"ref": "benhamner/python-seaborn-pairplot-example", "kernel_id": "253"}, {"ref": "benhamner/installed-r-packages-2", "kernel_id": "254"}, {"ref": "benhamner/installed-python-packages", "kernel_id": "255"}, {"ref": "benhamner/fiddling-with-python-1", "kernel_id": "240"}, {"ref": "benhamner/r-environment-now-has-all-of-cran", "kernel_id": "5975"}, {"ref": "benhamner/demo-asdf-4", "kernel_id": "136497"}, {"ref": "benhamner/notebook9b871fba5a", "kernel_id": "89602"}, {"ref": "benhamner/notebook2687503b0b", "kernel_id": "78424"}, {"ref": "benhamner/notebookb3d67ec1ef", "kernel_id": "78425"}, {"ref": "benhamner/notebooka0fb877b15", "kernel_id": "78426"}, {"ref": "benhamner/notebookc1a9a9de79", "kernel_id": "78428"}, {"ref": "benhamner/a-journey-through-titanic", "kernel_id": "78439"}, {"ref": "benhamner/notebook3b9cee9850", "kernel_id": "78695"}, {"ref": "benhamner/notebookc17262836a", "kernel_id": "78768"}, {"ref": "benhamner/notebookddfcebbb39", "kernel_id": "78772"}, {"ref": "benhamner/notebookd5ce90df74", "kernel_id": "78775"}, {"ref": "benhamner/notebook2aee936810", "kernel_id": "78784"}, {"ref": "benhamner/notebook-4c755d200a5e82d6d842", "kernel_id": "74727"}, {"ref": "benhamner/notebookc14849a80f", "kernel_id": "247852"}, {"ref": "nissimnabar/test-titanic", "kernel_id": "78835"}, {"ref": "borntomine/titanic-survival-prediction", "kernel_id": "336617"}, {"ref": "nellaivijay/titanic-random-forest-82-78", "kernel_id": "177972"}, {"ref": "subrasan/test-subrasan", "kernel_id": "193603"}, {"ref": "andland/notebook-2812883168a5a061a3b8", "kernel_id": "23790"}, {"ref": "jeffmoser/notebook-a6e6c104de33eabf4ffc", "kernel_id": "85631"}, {"ref": "jeffmoser/notebook1897da6bb1", "kernel_id": "219411"}, {"ref": "jeffmoser/rolling-in-the-deep", "kernel_id": "208637"}, {"ref": "hanihamdan/notebook36652e610e", "kernel_id": "150730"}, {"ref": "hanihamdan/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "158150"}, {"ref": "alvasvoboda/pythontitanic", "kernel_id": "249022"}, {"ref": "yiducn/tutorial", "kernel_id": "273098"}, {"ref": "tubisoft/random-forest-benchmark-r", "kernel_id": "1022"}, {"ref": "ajayohri/head-start-for-data-scientist", "kernel_id": "871410"}, {"ref": "dchudz/notebook-1451a212bf9ddd9e168f", "kernel_id": "22354"}, {"ref": "dchudz/notebook-b8a1c8f3d4f3e7693205", "kernel_id": "22356"}, {"ref": "brego81/notebook-1bb8fad80c4d857a618c", "kernel_id": "45742"}, {"ref": "milesmcbain/ttitanic-mm", "kernel_id": "91359"}, {"ref": "naissus/notebook-6be92d18485892e9f720", "kernel_id": "31046"}, {"ref": "cyague/a-journey-through-titanic", "kernel_id": "169221"}, {"ref": "daywednes/a-journey-through-titanic", "kernel_id": "100345"}, {"ref": "kagglemiracle/notebook-b60824a47605774c1445", "kernel_id": "29103"}, {"ref": "kagglemiracle/notebook-d740e5a0f94e7b8112a7", "kernel_id": "29104"}, {"ref": "yongyeol/notebookfbf9a5e383", "kernel_id": "138543"}, {"ref": "jared1/a-journey-through-titanic", "kernel_id": "74942"}, {"ref": "ducknorris/notebook908e9c5471", "kernel_id": "239627"}, {"ref": "coffeebean/baseline", "kernel_id": "12058"}, {"ref": "subratac/introduction-to-ensembling-stacking-in-python", "kernel_id": "192673"}, {"ref": "gedankenexperiment/notebook-1b8a1eb799e885068b3b", "kernel_id": "21331"}, {"ref": "mco995/titanic1", "kernel_id": "19841"}, {"ref": "dansbecker/partial-dependence-plots", "kernel_id": "377831"}, {"ref": "jjmmzz/notebook-2cf7efefa644ef032425", "kernel_id": "55907"}, {"ref": "bayesianaveraging/a-journey-through-titanic-5027d6b4", "kernel_id": "89741"}, {"ref": "bayesianaveraging/a-journey-through-titanic", "kernel_id": "89725"}, {"ref": "wywismygod/exploratory-tutorial-titanic", "kernel_id": "208543"}, {"ref": "wywismygod/notebooke73332712d", "kernel_id": "208544"}, {"ref": "rgbkrk/grewewy", "kernel_id": "49588"}, {"ref": "rgbkrk/watadfasdf", "kernel_id": "49590"}, {"ref": "ifrain/titanicv1", "kernel_id": "54288"}, {"ref": "nigeln1975/a-journey-through-titanic", "kernel_id": "154007"}, {"ref": "wellingtonbengtson/notebookcfb89d198d", "kernel_id": "146985"}, {"ref": "wellingtonbengtson/titanic-first-try", "kernel_id": "146987"}, {"ref": "wellingtonbengtson/notebook87736927cd", "kernel_id": "146989"}, {"ref": "wellingtonbengtson/notebook67cbe6b254", "kernel_id": "147438"}, {"ref": "sureshshanmugam/titanic-script", "kernel_id": "40368"}, {"ref": "nishikantdhanuka/notebook-4075976007d19e6afd19", "kernel_id": "25156"}, {"ref": "melbournecomputing/notebook8f8505b903", "kernel_id": "236443"}, {"ref": "melbournecomputing/titanic-machine-learning-from-disaster", "kernel_id": "236444"}, {"ref": "chaseos/notebook-927b5358d8a48af6eb83", "kernel_id": "45693"}, {"ref": "dshchung/notebook-66d70b15cf1a00eeef96", "kernel_id": "28410"}, {"ref": "pepacz/randomforestclassifier-with-sklearn-pipeline", "kernel_id": "672789"}, {"ref": "pepacz/titanic-dataset-exploratory-analysis", "kernel_id": "712775"}, {"ref": "gerich/resample", "kernel_id": "5322"}, {"ref": "dansum/exploring-survival-on-the-titanic", "kernel_id": "243381"}, {"ref": "buehler/buehler-s-titanic-kernel-test", "kernel_id": "124406"}, {"ref": "darkstarone/titanic-learning-kernel", "kernel_id": "412540"}, {"ref": "jefflinwood/jeff-s-fork-of-journey-through-titanic-dataset", "kernel_id": "177300"}, {"ref": "guedieu/introduction-to-ensembling-stacking-in-python", "kernel_id": "231514"}, {"ref": "cristinuca/titanic-data-science-solutions-65c3db", "kernel_id": "189588"}, {"ref": "cristinuca/an-interactive-data-science-tutorial", "kernel_id": "185193"}, {"ref": "cristinuca/an-interactive-data-science-tutorial-2235d0", "kernel_id": "185294"}, {"ref": "gualtieri/notebook7e5bb56e18", "kernel_id": "141260"}, {"ref": "gualtieri/titanic-survivorship-analysis", "kernel_id": "148389"}, {"ref": "paoduromacmoney/notebook6ac57600d2", "kernel_id": "118229"}, {"ref": "glusus/an-interactive-data-science-tutorial", "kernel_id": "174317"}, {"ref": "regivm/titanic-exploring-the-interaction-of-sex-and-age", "kernel_id": "586232"}, {"ref": "edk217/scikit-learn-ml-from-start-to-finish", "kernel_id": "88835"}, {"ref": "magsgiust/practicing-python-with-the-titanic", "kernel_id": "666443"}, {"ref": "mesolithic/tryone", "kernel_id": "161455"}, {"ref": "zoli333/exploring-survival-on-the-titanic", "kernel_id": "221324"}, {"ref": "dh2011/a-journey-through-titanic-dh", "kernel_id": "262425"}, {"ref": "datacanary/notebook-27950351a5acaedde877", "kernel_id": "22087"}, {"ref": "datacanary/notebook-cff3cd615faf8ca4fb8b", "kernel_id": "22098"}, {"ref": "datacanary/notebook-cf8980ea95510150d872", "kernel_id": "22100"}, {"ref": "datacanary/python-basic", "kernel_id": "22060"}, {"ref": "datacanary/notebook-399c0369e5d1fe63999a", "kernel_id": "22090"}, {"ref": "datacanary/notebook-f29874ee0bf64c58d9ce", "kernel_id": "22091"}, {"ref": "datacanary/notebook-b4fa9cd26ee0f5c260b8", "kernel_id": "22092"}, {"ref": "datacanary/notebook-4560805bc2650751c722", "kernel_id": "22093"}, {"ref": "datacanary/notebook-80f43c82fba50fc8fe96", "kernel_id": "22094"}, {"ref": "datacanary/xgboost-example-python", "kernel_id": "235"}, {"ref": "datacanary/notebook-9e6b01ad6ce86138239a", "kernel_id": "38115"}, {"ref": "datacanary/notebook-60a3e26e68784e6de501", "kernel_id": "38116"}, {"ref": "datacanary/beat-the-benchmark-with-one-cool-trick", "kernel_id": "51792"}, {"ref": "datacanary/notebookddcd5ccaf4", "kernel_id": "117304"}, {"ref": "datacanary/notebookb10b4e4908", "kernel_id": "130118"}, {"ref": "datacanary/notebook7a480e0943", "kernel_id": "130309"}, {"ref": "datacanary/kaggle-titanic-001", "kernel_id": "136271"}, {"ref": "datacanary/kaggle-titanic-001-77a0cb01", "kernel_id": "136295"}, {"ref": "datacanary/kaggle-titanic-001-14915106", "kernel_id": "136373"}, {"ref": "datacanary/notebookde5372f6ad", "kernel_id": "88621"}, {"ref": "datacanary/notebook6634a29c0e", "kernel_id": "94311"}, {"ref": "datacanary/test-template", "kernel_id": "81171"}, {"ref": "datacanary/test-template-2", "kernel_id": "81172"}, {"ref": "datacanary/test-script-55", "kernel_id": "80209"}, {"ref": "datacanary/notebook345172f1ed", "kernel_id": "79916"}, {"ref": "datacanary/notebook48899e916f", "kernel_id": "75662"}, {"ref": "datacanary/notebook8c0221ee07", "kernel_id": "173162"}, {"ref": "datacanary/test-script-1", "kernel_id": "137409"}, {"ref": "datacanary/notebookd747d6fa6e", "kernel_id": "140988"}, {"ref": "datacanary/notebook9c5d6e1c68", "kernel_id": "150131"}, {"ref": "datacanary/notebook58b4fda2fa", "kernel_id": "156976"}, {"ref": "datacanary/test-kernel-2000", "kernel_id": "595934"}, {"ref": "datacanary/notebook473dc8d860", "kernel_id": "243675"}, {"ref": "tiljeset/a-journey-through-titanic", "kernel_id": "117031"}, {"ref": "knservis/notebookd2c9418e75", "kernel_id": "261354"}, {"ref": "bigcloud/titanic", "kernel_id": "221746"}, {"ref": "varun2145/xgboost-hypertuned", "kernel_id": "63775"}, {"ref": "varun2145/notebook0b90e7965c", "kernel_id": "196821"}, {"ref": "varun2145/feature-engineering-and-adaboost", "kernel_id": "196916"}, {"ref": "varun2145/0-81-lb-feat-engg-logistic-regression", "kernel_id": "196242"}, {"ref": "varun2145/feature-engineering-and-svm", "kernel_id": "196263"}, {"ref": "jaceksz/jacek", "kernel_id": "149842"}, {"ref": "digitalex/baseline-gender-based", "kernel_id": "112375"}, {"ref": "digitalex/baseline-coin-toss", "kernel_id": "112377"}, {"ref": "digitalex/random-forest", "kernel_id": "112381"}, {"ref": "valueq/notebook-93e403d361a2afe9e24a", "kernel_id": "77629"}, {"ref": "folcon/notebook-d754b1bec1dedea4068a", "kernel_id": "28293"}, {"ref": "folcon/notebook-3c7478a5fa2f631e9275", "kernel_id": "28294"}, {"ref": "folcon/notebook-9aab711d2ae0ce146b73", "kernel_id": "28295"}, {"ref": "folcon/notebook-21d27da1186541401c92", "kernel_id": "28083"}, {"ref": "zaq1xsw2tktk/first-kernel", "kernel_id": "150552"}, {"ref": "rslenser/notebook-4c40b27b4cd1277e336a", "kernel_id": "43049"}, {"ref": "rslenser/a-journey-through-titanic", "kernel_id": "43043"}, {"ref": "rslenser/titanic-ml", "kernel_id": "43044"}, {"ref": "rslenser/notebook-90a02a6487bfbc47d88b", "kernel_id": "43051"}, {"ref": "dreamflasher/titanic-test", "kernel_id": "96602"}, {"ref": "dreamflasher/testing-the-output-of-kernels", "kernel_id": "96617"}, {"ref": "dreamflasher/notebookc8b4927583", "kernel_id": "104492"}, {"ref": "mumbower/testing-a-new-script", "kernel_id": "30088"}, {"ref": "mumbower/a-journey-through-titanic", "kernel_id": "30081"}, {"ref": "automake/first-try", "kernel_id": "12018"}, {"ref": "qingpocai/titanic-best-working-classifier", "kernel_id": "193156"}, {"ref": "qingpocai/introduction-to-ensembling-stacking-in-python", "kernel_id": "193157"}, {"ref": "jimmychu0807/a-journey-through-titanic", "kernel_id": "101883"}, {"ref": "rfouyang/titanic-notes", "kernel_id": "177256"}, {"ref": "rfouyang/xgboost-for-titanic", "kernel_id": "115452"}, {"ref": "esigler/rearranging-the-deck-chairs", "kernel_id": "214916"}, {"ref": "fordants/notebook-a9c6c1ce25966779c19f", "kernel_id": "44047"}, {"ref": "fordants/notebook-57cc807a5f263d0f2ed2", "kernel_id": "44050"}, {"ref": "fordants/titanic", "kernel_id": "44032"}, {"ref": "fordants/notebook-136fc2c486648e1d74a5", "kernel_id": "44035"}, {"ref": "fordants/notebook-86f9ae200b387af965c0", "kernel_id": "44021"}, {"ref": "fordants/starter", "kernel_id": "119974"}, {"ref": "yellowduck/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "158663"}, {"ref": "leon01/notebook970a0a363c", "kernel_id": "99002"}, {"ref": "paulovila/titanic-eda-v1-2", "kernel_id": "346034"}, {"ref": "xag105/kjshdsd", "kernel_id": "167511"}, {"ref": "lwgray/notebookc4a284d8c9", "kernel_id": "212493"}, {"ref": "rirakkuma/first", "kernel_id": "51257"}, {"ref": "vnn255/notebookd025ac4a88", "kernel_id": "207985"}, {"ref": "raghavatal/a-journey-through-titanic", "kernel_id": "174482"}, {"ref": "sd2365/notebookc37f4cd411", "kernel_id": "247352"}, {"ref": "valeriyischenko/visualization-and-feature-engineering", "kernel_id": "68000"}, {"ref": "trollycn/notebooka8c136292e", "kernel_id": "99591"}, {"ref": "keith1/notebook-1cad1b5b05ea6fbd2931", "kernel_id": "33816"}, {"ref": "keith1/titanic-eda", "kernel_id": "33817"}, {"ref": "piplimoon/notebook-b8db04639516a8813f38", "kernel_id": "54101"}, {"ref": "piplimoon/leaderboard-0-8134", "kernel_id": "54102"}, {"ref": "piplimoon/notebook-4de58abe9372c8b21a36", "kernel_id": "49998"}, {"ref": "piplimoon/notebook-5395edb1814886f93478", "kernel_id": "49999"}, {"ref": "piplimoon/notebook-00d5953241d1a4606296", "kernel_id": "50334"}, {"ref": "wbierbower/notebooka44cdbc0a0", "kernel_id": "204962"}, {"ref": "wbierbower/notebook842f1e30c0", "kernel_id": "204987"}, {"ref": "wbierbower/notebook87bac266df", "kernel_id": "204992"}, {"ref": "alexginsca/kaggle-first-ipythonnotebook", "kernel_id": "40038"}, {"ref": "hmnshu/notebook682503c397", "kernel_id": "199246"}, {"ref": "hmnshu/testing", "kernel_id": "199249"}, {"ref": "hmnshu/testme", "kernel_id": "198199"}, {"ref": "srikiran/notebook95d06131a1", "kernel_id": "197015"}, {"ref": "aconsapart/notebook-85a5404f10388f7833c8", "kernel_id": "61677"}, {"ref": "aconsapart/notebook-be5d3a9b0a7ad4aa01da", "kernel_id": "61207"}, {"ref": "aconsapart/notebook-022c731a563aa948e1dc", "kernel_id": "61365"}, {"ref": "aconsapart/running-xgboost-on-the-titanic-dataset", "kernel_id": "123443"}, {"ref": "aconsapart/notebooka7933140f5", "kernel_id": "123356"}, {"ref": "aconsapart/notebookb55cb30d3c", "kernel_id": "123357"}, {"ref": "promsoft/notebook-3cdc86461615dcf29510", "kernel_id": "81876"}, {"ref": "promsoft/notebook-9ea4074bf62c447d9323", "kernel_id": "81879"}, {"ref": "vganesh46/fdfdfdfdffd", "kernel_id": "24971"}, {"ref": "sarawagi/titanic-ctrl-c", "kernel_id": "223983"}, {"ref": "jfgobin/titanic-survival-rate", "kernel_id": "150590"}, {"ref": "sabirribas/notebook40bba9a6e7", "kernel_id": "120338"}, {"ref": "rnmehta5/titanic-predictions-practice-sklearn", "kernel_id": "346654"}, {"ref": "talonen/testing-code-is-not-mine-megan-l-risdal", "kernel_id": "173395"}, {"ref": "talonen/notebook8921504369", "kernel_id": "172465"}, {"ref": "talonen/new-kernel-py-testi", "kernel_id": "172466"}, {"ref": "danielmclaury/notebookebfd53c2c9", "kernel_id": "111830"}, {"ref": "lastplacelarry/how-to-get-last-place", "kernel_id": "10865"}, {"ref": "lastplacelarry/testing-stuff", "kernel_id": "252575"}, {"ref": "slothouber/experiment", "kernel_id": "1517"}, {"ref": "slothouber/another-experment", "kernel_id": "1521"}, {"ref": "slothouber/traveling-alone-or-with-family", "kernel_id": "266"}, {"ref": "vikaslbishnoi/titanic-data-science-solutions", "kernel_id": "643345"}, {"ref": "krishna123/notebook-d8c2727012de21e68793", "kernel_id": "24025"}, {"ref": "zhangyang/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "247975"}, {"ref": "zhangyang/a-journey-through-titanic-ecd5e7", "kernel_id": "244138"}, {"ref": "zhangyang/introduction-to-ensembling-stacking-in-python", "kernel_id": "244161"}, {"ref": "zhangyang/a-journey-through-titanic", "kernel_id": "161116"}, {"ref": "jasonkuruzovich/firsttitanictest", "kernel_id": "18998"}, {"ref": "jasonkuruzovich/mgmt6963-lab6-python", "kernel_id": "19896"}, {"ref": "jasonkuruzovich/mgmt6963-lab6", "kernel_id": "19881"}, {"ref": "jasonkuruzovich/mgmt6963-lab6-solution-r2", "kernel_id": "19977"}, {"ref": "jasonkuruzovich/logistic-regression", "kernel_id": "20755"}, {"ref": "jasonkuruzovich/a-journey-through-titanic-f236d52b", "kernel_id": "97983"}, {"ref": "jasonkuruzovich/a-journey-through-titanic", "kernel_id": "90786"}, {"ref": "karthikkashyap/practice-notebooks", "kernel_id": "204219"}, {"ref": "isaacaidoo/titanic-data-science-solutions", "kernel_id": "248493"}, {"ref": "chisquared/titanic-1d-convolution-on-symbols-embeddings", "kernel_id": "117865"}, {"ref": "simecek/a-journey-through-titanic", "kernel_id": "79281"}, {"ref": "oiuuio/notebooka2926bbca8", "kernel_id": "89130"}, {"ref": "rajeshmanikka/titanic-tutorial", "kernel_id": "387557"}, {"ref": "j1o1h1n/a-journey-through-titanic", "kernel_id": "174609"}, {"ref": "apertu/notebook669fda0dbd", "kernel_id": "247032"}, {"ref": "giorgiop2it/notebookeef6279682", "kernel_id": "229511"}, {"ref": "andrewtrice/notebook-5cde107cb39b8f65379f", "kernel_id": "43703"}, {"ref": "andrewtrice/notebook-99d4d6178c813c7552eb", "kernel_id": "43704"}, {"ref": "andrewtrice/sparctitanicdemo3", "kernel_id": "43719"}, {"ref": "andrewtrice/testscript1asdf", "kernel_id": "43532"}, {"ref": "wangbing/notebook47db668d5d", "kernel_id": "238738"}, {"ref": "twmaunu/a-journey-through-titanic", "kernel_id": "94562"}, {"ref": "lingcheng/notebooke32e2ff871", "kernel_id": "143242"}, {"ref": "dingli/titanic-survivor-prediction-by-machine-learning", "kernel_id": "814344"}, {"ref": "dingli/titanic-survivor-prediction-machine-learning", "kernel_id": "868482"}, {"ref": "twotoys/test-script", "kernel_id": "99223"}, {"ref": "akhillohchab/titanic-random-forest-82-78", "kernel_id": "185624"}, {"ref": "darbin/titanic-logistic-regression-76-5", "kernel_id": "188242"}, {"ref": "ruhilv/notebook075e0483a2", "kernel_id": "183301"}, {"ref": "sovannt/exploring-survival-public-fork", "kernel_id": "113628"}, {"ref": "kirkbroadhurst/exploring-survival-on-the-titanic", "kernel_id": "146200"}, {"ref": "kirkbroadhurst/kb-20150426", "kernel_id": "851"}, {"ref": "kirkbroadhurst/learning", "kernel_id": "939"}, {"ref": "phillipgurbacki/5676test", "kernel_id": "36980"}, {"ref": "marshalwong/titanic-dataset-walkthrough", "kernel_id": "115494"}, {"ref": "maxbeaud/titanic-predictions", "kernel_id": "266959"}, {"ref": "xiaolinz/notebook59bc747c1c", "kernel_id": "177060"}, {"ref": "abhinavkgp/titanic", "kernel_id": "79977"}, {"ref": "abhinavkgp/notebook-60960f3a87154753d572", "kernel_id": "80004"}, {"ref": "abhinavkgp/notebook-c2ee959bfc7852a5c4cd", "kernel_id": "80014"}, {"ref": "sauvikde/fork-of-notebookdf3d426597", "kernel_id": "155193"}, {"ref": "sauvikde/predicting-survival-on-titanic", "kernel_id": "155252"}, {"ref": "andrejsio/xgboost-example-python", "kernel_id": "780"}, {"ref": "bicepjai/notebook-734bd9fa5df1cdbb85dd", "kernel_id": "34200"}, {"ref": "jonfry/notebook-56660e4685cd3f209b59", "kernel_id": "54597"}, {"ref": "vrkhare/a-journey-through-titanic", "kernel_id": "92428"}, {"ref": "vrkhare/a-journey-through-titanic-30cb78fb", "kernel_id": "92441"}, {"ref": "vrkhare/a-journey-through-titanic-e2bae8f5", "kernel_id": "92442"}, {"ref": "mazurov/copy-of-titanic-best-working-classifier", "kernel_id": "197243"}, {"ref": "jiaoyang/titanicrandomforest", "kernel_id": "20895"}, {"ref": "jiaoyang/notebook-955c2995d650b4e3cc14", "kernel_id": "20896"}, {"ref": "gsantoro/notebooka01b22ce64", "kernel_id": "101931"}, {"ref": "reachfish/a-journey-through-titanic", "kernel_id": "186955"}, {"ref": "saurabh2086/titanicsurvivaldata", "kernel_id": "5909"}, {"ref": "agarwalsneha/exploring-name", "kernel_id": "86550"}, {"ref": "agarwalsneha/linear-svm-with-feature-engineering", "kernel_id": "84207"}, {"ref": "weiouyang/titanic02", "kernel_id": "95275"}, {"ref": "zhaoyiliang/notebook-67fe8ef3a58451618b67", "kernel_id": "35479"}, {"ref": "khushsi/notebook-3d013da6237ebc8e72ef", "kernel_id": "39275"}, {"ref": "khushsi/titanic", "kernel_id": "39276"}, {"ref": "redward/notebook-e99a16ec2f5744266a05", "kernel_id": "50862"}, {"ref": "davidfernandez/first-test-of-kaggle-script", "kernel_id": "23413"}, {"ref": "ivanbaj/notebook653bc917b3", "kernel_id": "162751"}, {"ref": "ivanbaj/part-2-titanic-encounters-vowpal-wabbit-and-r", "kernel_id": "159446"}, {"ref": "ivanbaj/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "158030"}, {"ref": "ivanbaj/library-dplyr", "kernel_id": "157786"}, {"ref": "ivanbaj/part-1-titanic-encounters-vowpal-wabbit-and-r", "kernel_id": "157787"}, {"ref": "ivanbaj/notebooka33abf5519", "kernel_id": "162085"}, {"ref": "sumitc/notebook77843e1738", "kernel_id": "254354"}, {"ref": "jaipurchamp/sample-svm-model-with-x-validation", "kernel_id": "106249"}, {"ref": "phcostello/titanic-prediciton", "kernel_id": "106066"}, {"ref": "phcostello/titanic-notebook", "kernel_id": "106067"}, {"ref": "sachirakuruppu/decision-tree-visualization-submission", "kernel_id": "129603"}, {"ref": "rerumnatura/a-journey-through-titanic", "kernel_id": "112270"}, {"ref": "rerumnatura/fork-of-a-journey-through-titanic-5efc63f7", "kernel_id": "174415"}, {"ref": "kyranw/notebook74ca89fb09", "kernel_id": "241236"}, {"ref": "singularity2045/titanic-test-exploratory", "kernel_id": "209226"}, {"ref": "alceufc/notebook72ea4bf8f9", "kernel_id": "260657"}, {"ref": "uioreanu/randomforest-cforest-method", "kernel_id": "6549"}, {"ref": "maufee/titanic", "kernel_id": "13972"}, {"ref": "cavendish/interactive-widgets-in-a-notebook", "kernel_id": "33607"}, {"ref": "s0182840/a-journey-through-titanic", "kernel_id": "121209"}, {"ref": "gynagy/an-interactive-data-science-tutorial", "kernel_id": "182639"}, {"ref": "gynagy/an-interactive-data-science-tutorial-512cd654", "kernel_id": "182646"}, {"ref": "gynagy/an-interactive-data-science-tutorial-0d44f9", "kernel_id": "184301"}, {"ref": "gynagy/an-interactive-data-science-tutorial-9cbd1c", "kernel_id": "184304"}, {"ref": "gynagy/titanic-data-science-solutions", "kernel_id": "187501"}, {"ref": "aumahesh/notebookebd952fc42", "kernel_id": "238576"}, {"ref": "aumahesh/notebooke0f32a83ab", "kernel_id": "238566"}, {"ref": "pvithayathil/notebook2561579599", "kernel_id": "116471"}, {"ref": "scalacoder/titanic-random-forest", "kernel_id": "221087"}, {"ref": "astrokuang/exploring-titanic", "kernel_id": "116157"}, {"ref": "data01nerd/notebook-f1bdf2f3be0d2f5b5ac0", "kernel_id": "62669"}, {"ref": "dfmrrd/notebooke255a8f7e4", "kernel_id": "249031"}, {"ref": "dfmrrd/an-interactive-data-science-tutorial", "kernel_id": "239267"}, {"ref": "lakshmikandh/titanic-best-working-classifier", "kernel_id": "140404"}, {"ref": "rajatshah/scikit-learn-ml-from-start-to-finish", "kernel_id": "264388"}, {"ref": "rajatshah/solving-titanic-dataset-challenge", "kernel_id": "264396"}, {"ref": "mikraig/notebooke898987e5b", "kernel_id": "109635"}, {"ref": "fuxiang90/notebookaa93b3fa3e", "kernel_id": "106210"}, {"ref": "lcd545/random-forest-benchmark-r", "kernel_id": "681"}, {"ref": "chaowang05/tf-env", "kernel_id": "204910"}, {"ref": "chaowang05/tor-env", "kernel_id": "204915"}, {"ref": "eismailov/a-journey-through-titanic", "kernel_id": "136689"}, {"ref": "hafeezpalagiri/notebooka0ddf725d6", "kernel_id": "243446"}, {"ref": "alexkitchens/mytitanic2", "kernel_id": "36576"}, {"ref": "alexkitchens/mytitanic", "kernel_id": "35740"}, {"ref": "dullurix/titanic-best-working-classifier", "kernel_id": "195734"}, {"ref": "elyase/notebook-af952763c38e74856e51", "kernel_id": "45995"}, {"ref": "mathseer/titanic-randomforrest-v1-2", "kernel_id": "7521"}, {"ref": "mathseer/titanic-randomforrest-v1-2-stuff", "kernel_id": "7523"}, {"ref": "bigbaobab/titanic", "kernel_id": "110478"}, {"ref": "bigbaobab/titanic-101", "kernel_id": "110505"}, {"ref": "kylewurtz/sample-script", "kernel_id": "23348"}, {"ref": "ljoffe/a-journey-through-titanic", "kernel_id": "112944"}, {"ref": "noziar/notebookd9ce60d656", "kernel_id": "138562"}, {"ref": "noziar/hello", "kernel_id": "138559"}, {"ref": "brainopia/notebook-a253117ba9bd6cf3c872", "kernel_id": "46412"}, {"ref": "brainopia/notebook-3fd1e16af06fc3dd2fc2", "kernel_id": "46555"}, {"ref": "brainopia/notebook-40560cf1316ccf1ae2da", "kernel_id": "46574"}, {"ref": "lordastinus/notebook-85c612988a88e0f1d34f", "kernel_id": "24288"}, {"ref": "lordastinus/test-20151115", "kernel_id": "24289"}, {"ref": "lordastinus/test-titanic-20151115", "kernel_id": "24290"}, {"ref": "nonnormalizable/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "161753"}, {"ref": "salilpradhan/titanic-data-science-solutions", "kernel_id": "253340"}, {"ref": "omarkhu/notebook904faba46a", "kernel_id": "216044"}, {"ref": "olivierfontaine/fork-of-introduction-to-ensembling-stacking-in-pyt", "kernel_id": "191971"}, {"ref": "jlaventall/an-interactive-data-science-tutorial", "kernel_id": "176257"}, {"ref": "abundrew/getting-started-copy-paste", "kernel_id": "207831"}, {"ref": "dantepawn/an-interactive-data-science-tutorial", "kernel_id": "169436"}, {"ref": "joannecheng/notebook-7a881fce5207052f8632", "kernel_id": "79344"}, {"ref": "joannecheng/notebook-644d521e045a2ff8460d", "kernel_id": "79345"}, {"ref": "joannecheng/notebook-263d0f748e266d24d18f", "kernel_id": "79773"}, {"ref": "vtomar/notebook-4c9f1f19d16880ae5129", "kernel_id": "27935"}, {"ref": "yuningalexliu/exploratory-tutorial-titanic", "kernel_id": "146359"}, {"ref": "yuningalexliu/kaggle-titanic-001", "kernel_id": "145354"}, {"ref": "yuningalexliu/notebook15af317947", "kernel_id": "143949"}, {"ref": "rminator/test-of-kaggle-backend", "kernel_id": "88996"}, {"ref": "shenzie/notebookd35d0e34de", "kernel_id": "254754"}, {"ref": "shenzie/notebookb49e1b2bf3", "kernel_id": "254755"}, {"ref": "patricktung/notebook4c2832e010", "kernel_id": "233882"}, {"ref": "harleypellowe/titanic", "kernel_id": "205606"}, {"ref": "harleypellowe/harley-titanic", "kernel_id": "205614"}, {"ref": "appmathdoc/kaggle-first-ipythonnotebook", "kernel_id": "50328"}, {"ref": "appmathdoc/notebook-2aaabbf52d48e74d896b", "kernel_id": "51697"}, {"ref": "vnazarenko/a-journey-through-titanic", "kernel_id": "179255"}, {"ref": "anubrata/titanic", "kernel_id": "26707"}, {"ref": "julienpennecot/notebook30389feb1a", "kernel_id": "196272"}, {"ref": "imrojq/test1", "kernel_id": "31102"}, {"ref": "tausifahmad/a-journey-through-titanic", "kernel_id": "177028"}, {"ref": "tausifahmad/a-journey-through-titanic-fcac34cb", "kernel_id": "178465"}, {"ref": "chu1990/study-of-tree-and-forest-algorithms", "kernel_id": "66602"}, {"ref": "jayadevmateti/random-forest-benchmark-r", "kernel_id": "7704"}, {"ref": "jayadevmateti/titanic-randomforrest-v1-2", "kernel_id": "8015"}, {"ref": "statis/titanic-best-working-classifier", "kernel_id": "263097"}, {"ref": "erichstuderus/notebook947270b750", "kernel_id": "130477"}, {"ref": "famargar/titanic-random-forest-82-78", "kernel_id": "179312"}, {"ref": "famargar/a-journey-through-titanic", "kernel_id": "171218"}, {"ref": "amoyakd/randomforest-method-v1-0", "kernel_id": "7050"}, {"ref": "amoyakd/titanic-randomforrest-v1-2", "kernel_id": "7052"}, {"ref": "mbadros/titanic-script-v1", "kernel_id": "46739"}, {"ref": "farouqzaib/titanic-decision-trees", "kernel_id": "19684"}, {"ref": "sohanjain/a-journey-through-titanic", "kernel_id": "88827"}, {"ref": "bakiev/popular-man-names", "kernel_id": "40404"}, {"ref": "bakiev/notebook-666bb162fa1af2b846c7", "kernel_id": "40583"}, {"ref": "bakiev/important-features-are-sex-and-fare", "kernel_id": "40585"}, {"ref": "bakiev/popular-lady-name", "kernel_id": "40386"}, {"ref": "vineeth52/titanic-survival-data", "kernel_id": "160543"}, {"ref": "mikowals/tensorflow-slim-batch-norm-test", "kernel_id": "119134"}, {"ref": "cast42/xgboost-example-python", "kernel_id": "17877"}, {"ref": "cast42/randomforest-cforest-method", "kernel_id": "19678"}, {"ref": "cast42/randomforest-method-v1-0", "kernel_id": "43378"}, {"ref": "cast42/cohen-effect-size-and-p-values", "kernel_id": "218929"}, {"ref": "dchaimow/titanic-01", "kernel_id": "121617"}, {"ref": "dchaimow/notebook3d33a6ded2", "kernel_id": "121615"}, {"ref": "tomask/notebook7bdf3e525f", "kernel_id": "276294"}, {"ref": "sivakarthikeyan/titanic-kernel-with-python", "kernel_id": "523395"}, {"ref": "woters/python-seaborn-pairplot-example", "kernel_id": "7840"}, {"ref": "dmvoit/titanic-test-notebook", "kernel_id": "229703"}, {"ref": "eldiab/titanic-predict-survival", "kernel_id": "201887"}, {"ref": "vishalsharma/notebook1bd8bd53c3", "kernel_id": "103795"}, {"ref": "skohari/my-first-kaggle-script", "kernel_id": "88277"}, {"ref": "cwhitson/titanic-learning", "kernel_id": "218653"}, {"ref": "jonathan16/simple-tutorial-for-beginners", "kernel_id": "980462"}, {"ref": "tomsitek/notebook3b4a139492", "kernel_id": "210158"}, {"ref": "tomsitek/titanic", "kernel_id": "210160"}, {"ref": "mdmilgrom/a-journey-through-titanic", "kernel_id": "127331"}, {"ref": "jigyasa/titanic", "kernel_id": "68874"}, {"ref": "hsfarahani/notebook16437dfa67", "kernel_id": "201474"}, {"ref": "hsfarahani/test1", "kernel_id": "200901"}, {"ref": "hsfarahani/test-titanic-2", "kernel_id": "200941"}, {"ref": "ahuaay/notebook93b85d3f57", "kernel_id": "99980"}, {"ref": "ahuaay/a-journey-through-titanic", "kernel_id": "100075"}, {"ref": "phanyoung/notebooka5f91ba83c", "kernel_id": "91072"}, {"ref": "quark314/notebookddd2a15fbf", "kernel_id": "150208"}, {"ref": "superjom2/notebooka02ad886a1", "kernel_id": "110223"}, {"ref": "superjom2/a-journey-through-titanic", "kernel_id": "118042"}, {"ref": "tryharder/my-first", "kernel_id": "22682"}, {"ref": "hoanggiavu/notebook-8fc5ac2c069d2d7e23d0", "kernel_id": "26046"}, {"ref": "hoanggiavu/titanic-experiments", "kernel_id": "26048"}, {"ref": "maneman/titanic", "kernel_id": "232931"}, {"ref": "mackenchan/notebook-fa26312056bad2a559b0", "kernel_id": "73279"}, {"ref": "yuikns/hello-notebook", "kernel_id": "211717"}, {"ref": "yuikns/hello-world-yuikns-titanic", "kernel_id": "211724"}, {"ref": "lukechen526/notebook1829f6760b", "kernel_id": "165673"}, {"ref": "lukechen526/a-journey-through-titanic", "kernel_id": "165743"}, {"ref": "lukechen526/notebook-8ea168dcc8dd4377226a", "kernel_id": "77277"}, {"ref": "lukechen526/titanic-test", "kernel_id": "77278"}, {"ref": "lukechen526/notebook-8d85b258aa05af3b10b9", "kernel_id": "77279"}, {"ref": "lukechen526/titanic-t", "kernel_id": "77280"}, {"ref": "pabtorre/notebook-2ec078953cf182a361a7", "kernel_id": "84725"}, {"ref": "fredman/bergenmlmeetup-barebonestitanicr", "kernel_id": "249500"}, {"ref": "fredman/titanic-barebones-benchmark-r", "kernel_id": "249565"}, {"ref": "fredman/python-test", "kernel_id": "249600"}, {"ref": "fredman/notebook414f35383c", "kernel_id": "251782"}, {"ref": "vwlcheun/a-journey-through-titanic", "kernel_id": "168999"}, {"ref": "vwlcheun/notebookabd8df5d59", "kernel_id": "169004"}, {"ref": "diaokelu/test0", "kernel_id": "17261"}, {"ref": "shaochuanwang/titanic-ml-tutorial-on-small-dataset-0-82296", "kernel_id": "902619"}, {"ref": "kbhits/notebook639d6bd35b", "kernel_id": "96728"}, {"ref": "kbhits/notebook11c3fdd27d", "kernel_id": "96462"}, {"ref": "hugokoopmans/a-journey-through-titanic", "kernel_id": "159096"}, {"ref": "joetheshow/notebook-da7a925cd3733ed8e992", "kernel_id": "32671"}, {"ref": "mahendra246/notebook-7ddce7db75771b882097", "kernel_id": "71536"}, {"ref": "lvicente/notebook-021ccc04195acf847d4b", "kernel_id": "45901"}, {"ref": "plotkin/notebook92d9f492bd", "kernel_id": "174336"}, {"ref": "niranjansonachalam/notebook-9d4fd80ffe37d81cfe65", "kernel_id": "31592"}, {"ref": "mbalar/testing", "kernel_id": "102134"}, {"ref": "egavas/popular-names", "kernel_id": "20569"}, {"ref": "egavas/lucky-names", "kernel_id": "20369"}, {"ref": "egavas/survival-rate-by-age", "kernel_id": "20384"}, {"ref": "yamaton/notebook-1432a4e9f445023c4fd2", "kernel_id": "84968"}, {"ref": "kusum007/a-journey-through-titanic", "kernel_id": "189899"}, {"ref": "retroam/ro-test", "kernel_id": "607"}, {"ref": "ashwins/a-journey-through-titanic", "kernel_id": "193987"}, {"ref": "darthxeth/titanic-survivor-analysis", "kernel_id": "214417"}, {"ref": "frathgeber/submission-1", "kernel_id": "24901"}, {"ref": "frathgeber/notebook-42ec359ec7e61d269d0c", "kernel_id": "24902"}, {"ref": "tndesai/scikit-learn-ml-from-start-to-finish", "kernel_id": "230233"}, {"ref": "tndesai/an-interactive-data-science-tutorial-e67527", "kernel_id": "230245"}, {"ref": "ericfeinstein/notebook903007f1e6", "kernel_id": "99072"}, {"ref": "helainschoonjans/notebook0804d6a7f2", "kernel_id": "97662"}, {"ref": "helainschoonjans/exploration", "kernel_id": "97654"}, {"ref": "dericpan/test-titannic", "kernel_id": "76760"}, {"ref": "dericpan/a-journey-through-titanic", "kernel_id": "77358"}, {"ref": "dericpan/study-of-tree-and-forest-algorithms", "kernel_id": "77359"}, {"ref": "mihirdas/a-journey-through-titanic", "kernel_id": "191757"}, {"ref": "cristianbalint/notebook267a342682", "kernel_id": "190298"}, {"ref": "miguelmalvarez/notebook52e4d48ff3", "kernel_id": "119309"}, {"ref": "elbaro/notebook4515780351", "kernel_id": "196729"}, {"ref": "briantrewlee/a-journey-through-titanic-381c4dd7", "kernel_id": "164757"}, {"ref": "briantrewlee/random-forest-benchmark-r-a1", "kernel_id": "165328"}, {"ref": "briantrewlee/decision-tree-visualization-submission-a1", "kernel_id": "165339"}, {"ref": "briantrewlee/random-forest-benchmark-r-a3", "kernel_id": "165348"}, {"ref": "briantrewlee/random-forest-benchmark-r-va", "kernel_id": "163221"}, {"ref": "briantrewlee/random-forest-benchmark-r-vd", "kernel_id": "166649"}, {"ref": "briantrewlee/random-forest-benchmark-r-5000trees", "kernel_id": "162645"}, {"ref": "archismanm/firstsubmissiontest", "kernel_id": "178875"}, {"ref": "sundong/titanic-data-science-solutions", "kernel_id": "280413"}, {"ref": "chandravadan/notebook-4a0f99d980072e704923", "kernel_id": "23654"}, {"ref": "rakannan/notebook42f852ab59", "kernel_id": "245020"}, {"ref": "kmohanrao/a-journey-through-titanic", "kernel_id": "140691"}, {"ref": "kmohanrao/a-journey-through-titanic-fc0fe717", "kernel_id": "143849"}, {"ref": "fleitz/titanic", "kernel_id": "279574"}, {"ref": "attilatamask/a-journey-through-titanic", "kernel_id": "169638"}, {"ref": "attilatamask/a-journey-through-titanic-9ff25718", "kernel_id": "170041"}, {"ref": "felipesouzalima/notebookb822dd2a3b", "kernel_id": "201182"}, {"ref": "rdmurugan/notebook-f3bbefdf8e3326c8b289", "kernel_id": "30508"}, {"ref": "galaxyr/notebook7f56f66e11", "kernel_id": "231520"}, {"ref": "subhasisdatta/ensembling-stacking-in-python-for-titanic-data-set", "kernel_id": "191108"}, {"ref": "adeuandrew/extensive-seaborn-for-exploratory-analysis", "kernel_id": "246356"}, {"ref": "johnkiran/an-interactive-data-science-tutorial", "kernel_id": "178680"}, {"ref": "ayratzay/python-pandas-decision-tree", "kernel_id": "17862"}, {"ref": "sgerat/introduction-to-ensembling-stacking-in-python", "kernel_id": "191400"}, {"ref": "abhidesai/titanic", "kernel_id": "19034"}, {"ref": "abhidesai/titanic-nb", "kernel_id": "206154"}, {"ref": "tiemoon/input-output", "kernel_id": "76935"}, {"ref": "tiemoon/notebook-beb6b433311130db1283", "kernel_id": "79177"}, {"ref": "tiemoon/hello-world", "kernel_id": "79178"}, {"ref": "tiemoon/exploratory-analysis-in-r", "kernel_id": "78421"}, {"ref": "tiemoon/notebook-0c66857b1bee5ff48d40", "kernel_id": "80921"}, {"ref": "tiemoon/test1", "kernel_id": "80922"}, {"ref": "bigshot/a-journey-through-titanic", "kernel_id": "38293"}, {"ref": "bigshot/notebook-af3469db3cfdacb3aac8", "kernel_id": "38294"}, {"ref": "bigshot/notebook-89ea65fc17d09d25273b", "kernel_id": "38345"}, {"ref": "bigshot/notebook-18877d944ebf2203a0ba", "kernel_id": "37238"}, {"ref": "wangheyu/introduction-to-ensembling-stacking-in-python", "kernel_id": "190596"}, {"ref": "ericgustavson/simple-random-forest", "kernel_id": "108112"}, {"ref": "shanlu/notebookc153621939", "kernel_id": "182830"}, {"ref": "csalive/kaggle-titanic-001", "kernel_id": "117281"}, {"ref": "jeffbmartinez/notebook8fd1201056", "kernel_id": "138930"}, {"ref": "adamsaliu/notebook-56ba8b52338f8f54234c", "kernel_id": "30781"}, {"ref": "adamsaliu/adamskaggletrial", "kernel_id": "26994"}, {"ref": "adamsaliu/notebook-79d42e271cc78e098bf2", "kernel_id": "26996"}, {"ref": "simpetre/notebookd0b72729e5", "kernel_id": "224721"}, {"ref": "apeter/notebook9534f259f1", "kernel_id": "233208"}, {"ref": "chiragarora001/notebooka251de0fc1", "kernel_id": "263223"}, {"ref": "naiveadam/titanic-attempt-in-r-datasci-course", "kernel_id": "30653"}, {"ref": "naiveadam/titanic-attemp-datasci-course", "kernel_id": "30658"}, {"ref": "noralink/notebookd0ab8ed8f2", "kernel_id": "196592"}, {"ref": "sdilip/a-journey-through-titanic-c153559a", "kernel_id": "136243"}, {"ref": "sdilip/a-journey-through-titanic", "kernel_id": "124913"}, {"ref": "atulrajdhar/a-journey-through-titanic", "kernel_id": "108679"}, {"ref": "losttitan/notebook9f5541fee9", "kernel_id": "162540"}, {"ref": "jakubborkowski/feature-extraction-for-random-forest", "kernel_id": "106724"}, {"ref": "hadigharibi/an-interactive-data-science-tutorial", "kernel_id": "169425"}, {"ref": "liuqqxi/titanic", "kernel_id": "219219"}, {"ref": "christophergrant/notebook271b313b94", "kernel_id": "180531"}, {"ref": "yashwanthreddy/introduction-to-ensembling-stacking-in-python", "kernel_id": "197328"}, {"ref": "pengvin/a-journey-through-titanic", "kernel_id": "66061"}, {"ref": "maydogdu/a-journey-through-titanic", "kernel_id": "109735"}, {"ref": "asharma/notebook1e80791268", "kernel_id": "107380"}, {"ref": "manikandanr/a-journey-through-titanic", "kernel_id": "86899"}, {"ref": "chriseagle/an-interactive-data-science-tutorial", "kernel_id": "230806"}, {"ref": "jephdo/notebookdc7a4db701", "kernel_id": "227712"}, {"ref": "lorena/sample-kaggle-code", "kernel_id": "234767"}, {"ref": "jreguero/demo1", "kernel_id": "23350"}, {"ref": "jreguero/testing", "kernel_id": "58590"}, {"ref": "jreguero/notebook-83c32bcac2aef958e607", "kernel_id": "58631"}, {"ref": "jreguero/notebook-20f9dcd9c08f64144302", "kernel_id": "58954"}, {"ref": "pjbss165/me-figuring-stuff-out", "kernel_id": "209408"}, {"ref": "tlapusan/titanic-decision-tree-implemented-as-lean-startup", "kernel_id": "524128"}, {"ref": "neojason/titanic-000", "kernel_id": "22631"}, {"ref": "snaphappi/notebooked4b0e04e2", "kernel_id": "232949"}, {"ref": "salvarico/salvarico", "kernel_id": "49706"}, {"ref": "salvarico/notebook-9371090e553d039f21df", "kernel_id": "49701"}, {"ref": "salvarico/notebook-494f5f9cc00249ecb252", "kernel_id": "49702"}, {"ref": "salvarico/notebook-9bcb246ecf747c20c4da", "kernel_id": "49703"}, {"ref": "salvarico/preliminary-exploration", "kernel_id": "68672"}, {"ref": "raeisi/notebook46afe869cd", "kernel_id": "266709"}, {"ref": "hanyan/titanic", "kernel_id": "329"}, {"ref": "pieorswirls/a-journey-through-titanic", "kernel_id": "135589"}, {"ref": "crosswords/titanic-adaboost", "kernel_id": "337539"}, {"ref": "tigrangr/notebook-8e9f23b624e7c89feacd", "kernel_id": "48033"}, {"ref": "tigrangr/notebook-cd037775ebad114efe59", "kernel_id": "48034"}, {"ref": "tigrangr/notebook-e366024e47850c501d60", "kernel_id": "48035"}, {"ref": "tigrangr/test-notebook-1", "kernel_id": "48036"}, {"ref": "rchardzhu/notebook450194a83c", "kernel_id": "226714"}, {"ref": "rchardzhu/titantic", "kernel_id": "226715"}, {"ref": "ueg1990/notebook-8fe986be8424c2ca78e0", "kernel_id": "29767"}, {"ref": "ueg1990/titanic", "kernel_id": "29769"}, {"ref": "ueg1990/notebook-d17dca422b82f3b681e5", "kernel_id": "29770"}, {"ref": "zeroblue/first-script", "kernel_id": "5710"}, {"ref": "zeroblue/dtree", "kernel_id": "6259"}, {"ref": "oo7feynman/a-journey-through-titanic", "kernel_id": "124896"}, {"ref": "oo7feynman/exploratory-tutorial-titanic", "kernel_id": "104232"}, {"ref": "oo7feynman/notebook70fc5c4dc0", "kernel_id": "221624"}, {"ref": "oo7feynman/titanic-practice", "kernel_id": "221625"}, {"ref": "oo7feynman/introduction-to-ensembling-stacking-in-python", "kernel_id": "190761"}, {"ref": "hyzhak/titanic-for-beginners", "kernel_id": "425333"}, {"ref": "kafonek/titanic-dataset", "kernel_id": "221412"}, {"ref": "kafonek/notebook23db0c3133", "kernel_id": "221407"}, {"ref": "rushi245/notebook9c1de7ebe2", "kernel_id": "227239"}, {"ref": "rushi245/notebook24d980869e", "kernel_id": "211157"}, {"ref": "searchs/a-journey-through-titanic", "kernel_id": "147792"}, {"ref": "renlang97/notebookf704849c00", "kernel_id": "202797"}, {"ref": "thomeou/a-journey-through-titanic", "kernel_id": "89784"}, {"ref": "jennxf/xgboost-example-python", "kernel_id": "100266"}, {"ref": "samuelcyrusmarkson/xgboost-example-python", "kernel_id": "18248"}, {"ref": "c4p1v4r4/test1", "kernel_id": "11079"}, {"ref": "afaq404alam/notebook-d600406933817e7b2b63", "kernel_id": "79152"}, {"ref": "afaq404alam/notebook-1bcb171e41c00e41564b", "kernel_id": "79153"}, {"ref": "afaq404alam/learning-from-titanic", "kernel_id": "76962"}, {"ref": "jmleoni/exploratory-tutorial-titanic", "kernel_id": "113389"}, {"ref": "zhenv5/a-journey-through-titanic", "kernel_id": "34629"}, {"ref": "baogorek/titanic-logistic-regression", "kernel_id": "136912"}, {"ref": "rowang/notebook7544c3a5c9", "kernel_id": "147833"}, {"ref": "rowang/notebook6ea848c74d", "kernel_id": "147834"}, {"ref": "rajendrakumar/notebook-ddeb0588c26eb1e549a8", "kernel_id": "27885"}, {"ref": "rajendrakumar/xgboost-example-python", "kernel_id": "27886"}, {"ref": "biplob/a-journey-through-titanic", "kernel_id": "167383"}, {"ref": "fbrignoli/titanic", "kernel_id": "216000"}, {"ref": "mdjmay/notebook6b1c116416", "kernel_id": "202765"}, {"ref": "mdjmay/notebook11b8a345c9", "kernel_id": "201501"}, {"ref": "tonycao/a-journey-through-titanic-6dd7a2bc", "kernel_id": "162360"}, {"ref": "tonycao/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "162369"}, {"ref": "tonycao/a-journey-through-titanic", "kernel_id": "162278"}, {"ref": "zichen/notebook-d4e733444c4b962c4a16", "kernel_id": "44036"}, {"ref": "tugisuwon/titanic-using-simple-randomforest", "kernel_id": "169642"}, {"ref": "srividyakr/a-journey-through-titanic-4e80da70", "kernel_id": "170590"}, {"ref": "srividyakr/a-journey-through-titanic", "kernel_id": "170588"}, {"ref": "ajayram/a-journey-through-titanic", "kernel_id": "124052"}, {"ref": "ajayram/a-journey-through-titanic-7f3fd5f2", "kernel_id": "124054"}, {"ref": "minben/random-forrest", "kernel_id": "221729"}, {"ref": "minben/decision-tree", "kernel_id": "221522"}, {"ref": "coding2fun/notebook51ab1109a8", "kernel_id": "145385"}, {"ref": "coding2fun/titanic-dataset", "kernel_id": "145386"}, {"ref": "coding2fun/could-the-titanic-have-been-saved", "kernel_id": "145395"}, {"ref": "tkrajesh/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "170695"}, {"ref": "tkrajesh/simple-stacking-with-xgboost-0-808", "kernel_id": "170784"}, {"ref": "tkrajesh/a-journey-through-titanic-02142047", "kernel_id": "170589"}, {"ref": "tkrajesh/a-journey-through-titanic", "kernel_id": "170586"}, {"ref": "polonglin/notebook-61884653e5e47f87b38a", "kernel_id": "67643"}, {"ref": "polonglin/notebook-1431185e61c12af225c3", "kernel_id": "62584"}, {"ref": "pradeep3819/notebook-46eac8024ae22e796730", "kernel_id": "20991"}, {"ref": "kiran116889/titanic-survival", "kernel_id": "370576"}, {"ref": "tsundara/an-interactive-data-science-tutorial", "kernel_id": "171280"}, {"ref": "dawny33/scikit-learn-ml-from-start-to-finish", "kernel_id": "359794"}, {"ref": "dawny33/titanic-analytics", "kernel_id": "97053"}, {"ref": "jwitten/a-journey-through-titanic", "kernel_id": "38268"}, {"ref": "geminigal/a-journey-through-titanic", "kernel_id": "185947"}, {"ref": "themasteralgorithm/model-stacking", "kernel_id": "65258"}, {"ref": "lovejeet/notebook-5f33ee5aa990fca20139", "kernel_id": "37404"}, {"ref": "lovejeet/notebook-e6f7ce321f85c6b12f94", "kernel_id": "37405"}, {"ref": "lovejeet/titanic-survival", "kernel_id": "37386"}, {"ref": "errollee/titanic-data-science-solutions-el", "kernel_id": "242095"}, {"ref": "moonunit432/titanic", "kernel_id": "212281"}, {"ref": "rianahmamy/a-journey-through-titanic", "kernel_id": "100337"}, {"ref": "drsimonj/notebook98aaf21851", "kernel_id": "126029"}, {"ref": "ilancooke/notebook-8a3536c0401851b8e417", "kernel_id": "30110"}, {"ref": "emmalzhang/titanic-data-science-solutions", "kernel_id": "203285"}, {"ref": "emmalzhang/notebookea018ed772", "kernel_id": "207751"}, {"ref": "emmalzhang/a-journey-through-titanic", "kernel_id": "177513"}, {"ref": "srikarappal/notebook-37526844df9f28f44148", "kernel_id": "24181"}, {"ref": "vinni482/notebook-b8af440c2243aa79109e", "kernel_id": "61551"}, {"ref": "vinni482/understanding-data", "kernel_id": "61553"}, {"ref": "vinni482/notebook-abcc3913594aaae0d89a", "kernel_id": "61561"}, {"ref": "timdockins/testing-notebooks-with-titanic", "kernel_id": "200675"}, {"ref": "timdockins/tim-testing-notebooks-with-titanic", "kernel_id": "200677"}, {"ref": "nikhilkhandelwal/notebookac4667b63f", "kernel_id": "114712"}, {"ref": "bgoldfeder/titanic-learning-kaggle-bgoldfe2", "kernel_id": "209825"}, {"ref": "bgoldfeder/an-interactive-data-science-tutorial", "kernel_id": "209855"}, {"ref": "sandeepkomatireddy/notebook7d62388a97", "kernel_id": "133778"}, {"ref": "saptarshi207/titanic-try", "kernel_id": "106755"}, {"ref": "valentinascipione/titanic-prediction-competition", "kernel_id": "227957"}, {"ref": "valentinascipione/titanic-prediction-with-decision-trees", "kernel_id": "228056"}, {"ref": "ningyuwhut/notebook0387d0b35f", "kernel_id": "264068"}, {"ref": "ningyuwhut/ensembling-stacking-in-python-backup", "kernel_id": "270661"}, {"ref": "noracode/titanic", "kernel_id": "92118"}, {"ref": "vikramtiwari/a-journey-through-titanic", "kernel_id": "183290"}, {"ref": "jerrytseng/introduction-to-ensembling-stacking-in-python", "kernel_id": "188688"}, {"ref": "jerrytseng/fork-of-introduction-to-ensembling-stacking-in-pyt", "kernel_id": "188697"}, {"ref": "jerrytseng/titanic-random-forest-82-78", "kernel_id": "187917"}, {"ref": "vikramdutt/titanic-problem", "kernel_id": "30854"}, {"ref": "theacetoace/notebook-1cc1914b736bad53dde9", "kernel_id": "35512"}, {"ref": "cuttlefish/notebook277b603ae1", "kernel_id": "106054"}, {"ref": "nsharan/titanic-data-science-solutions", "kernel_id": "149557"}, {"ref": "nsharan/titanic-data-science-solutions-5a541082", "kernel_id": "149640"}, {"ref": "raghavprasad/titanic-data-science-solutions", "kernel_id": "423915"}, {"ref": "viveksrinivasan/analyzing-titanic-dataset", "kernel_id": "172395"}, {"ref": "gpevans/notebook4d60f3f9e9", "kernel_id": "241857"}, {"ref": "loveall/a-journey-through-titanic", "kernel_id": "119669"}, {"ref": "sozykin/titanic-tutorial", "kernel_id": "103282"}, {"ref": "rmr949/titanic-eda", "kernel_id": "255091"}, {"ref": "lelandfy/titanic-data-science-solutions", "kernel_id": "151066"}, {"ref": "rebordao/sinking-of-the-titanic-from-data-to-insights", "kernel_id": "363048"}, {"ref": "southwlm/notebook270333b0a7", "kernel_id": "237680"}, {"ref": "nparrott/notebookd88aa90bc0", "kernel_id": "210069"}, {"ref": "hrinnecco/titanic-data-science-solutions", "kernel_id": "210270"}, {"ref": "mohan15243/first-ever", "kernel_id": "32576"}, {"ref": "sarrowsmith/notebook128bfd55f8", "kernel_id": "181478"}, {"ref": "ssarangi/notebook5fe789da53", "kernel_id": "261840"}, {"ref": "ssarangi/titanic-data-exploration", "kernel_id": "265066"}, {"ref": "biasedcoin/titanic-survival-predictions-beginner", "kernel_id": "538368"}, {"ref": "aelise/benchmarking-random-forests", "kernel_id": "6925"}, {"ref": "isaac7/titanic", "kernel_id": "76449"}, {"ref": "isaac7/notebook-4e91a7f5dfe7ee483fbe", "kernel_id": "76475"}, {"ref": "isaac7/notebook-3d561c30e055981ca089", "kernel_id": "76476"}, {"ref": "gairolap/titanic", "kernel_id": "139749"}, {"ref": "shishirkumarprasad/notebook-dc60014df69b33f16941", "kernel_id": "62268"}, {"ref": "jakobinsky/notebookd19b3ae1a3", "kernel_id": "248077"}, {"ref": "victornaidu/notebook24f548b7bd", "kernel_id": "240322"}, {"ref": "skorsun/a-journey-through-titanic", "kernel_id": "88663"}, {"ref": "saddlethen/a-journey-through-titanic", "kernel_id": "88047"}, {"ref": "micseb/notebook-2d10e692f4c2ca64c231", "kernel_id": "31214"}, {"ref": "micseb/notebook-5dae30494e770dee40fe", "kernel_id": "72886"}, {"ref": "micseb/notebook-eb10a26a1109b195a95a", "kernel_id": "72887"}, {"ref": "jrmeland/predicting-survivors", "kernel_id": "64218"}, {"ref": "jrmeland/predict-survivors", "kernel_id": "64224"}, {"ref": "jrmeland/notebook-d8e4dc948ce96d3f202e", "kernel_id": "66562"}, {"ref": "vpaharia/titanic-survivors", "kernel_id": "336520"}, {"ref": "petermaier/tester", "kernel_id": "17943"}, {"ref": "dimitrivrehen/notebook-30d760b858f0e24f6d6f", "kernel_id": "27113"}, {"ref": "briantcs/titanic-model-training-with-xgboost", "kernel_id": "115537"}, {"ref": "luzhao/decision-tree-random-forest", "kernel_id": "24339"}, {"ref": "lizhaoliu/virgintest", "kernel_id": "17689"}, {"ref": "vinceallenvince/titanic-finding-the-guarantee-group", "kernel_id": "102651"}, {"ref": "vinceallenvince/titanic-guided-by-a-confusion-matrix", "kernel_id": "102658"}, {"ref": "vinceallenvince/notebook44fd54b41a", "kernel_id": "93358"}, {"ref": "chenhuang/titanic-test", "kernel_id": "11786"}, {"ref": "kshitijmathur/a-journey-through-titanic", "kernel_id": "315544"}, {"ref": "benblunt/a-journey-through-titanic-a9ee8721", "kernel_id": "121400"}, {"ref": "benblunt/a-journey-through-titanic", "kernel_id": "88123"}, {"ref": "iwant2py/notebookc1b0c4f050", "kernel_id": "95163"}, {"ref": "iwant2py/notebook296f467c30", "kernel_id": "92727"}, {"ref": "iwant2py/notebook51e3012a35", "kernel_id": "92766"}, {"ref": "iwant2py/notebook10bd9723ee", "kernel_id": "97995"}, {"ref": "iwant2py/notebook9b05c05936", "kernel_id": "96245"}, {"ref": "dumbo44/pppppppppp", "kernel_id": "28578"}, {"ref": "dumbo44/titanic", "kernel_id": "28363"}, {"ref": "condereis/notebook-17880026ef30f1e8fe90", "kernel_id": "72624"}, {"ref": "condereis/notebook-5b05cef04ef26e9e2618", "kernel_id": "71531"}, {"ref": "condereis/notebook-733cf55955ee4a66f38f", "kernel_id": "71532"}, {"ref": "condereis/notebook-e0d47ed0c466da41b85f", "kernel_id": "71533"}, {"ref": "condereis/notebook-39adbcaf802b8eb28a26", "kernel_id": "71534"}, {"ref": "condereis/exploratory-data-analysis-1", "kernel_id": "71711"}, {"ref": "neuro17/a-journey-through-titanic", "kernel_id": "100451"}, {"ref": "edwinksl/notebook-9352267b1977bff1cd7e", "kernel_id": "32658"}, {"ref": "denisgordeev/train", "kernel_id": "24330"}, {"ref": "nlothian/notebook-15eb3cf633eacc56ccaf", "kernel_id": "30323"}, {"ref": "effendy/notebookc10926f4ef", "kernel_id": "239836"}, {"ref": "allanwbrooks/exploring-survival-on-the-titanic", "kernel_id": "106179"}, {"ref": "agnassar/digit-recognizer", "kernel_id": "155735"}, {"ref": "wallytaylor/titanic-practice", "kernel_id": "260836"}, {"ref": "deveshbatra/script1-py", "kernel_id": "37177"}, {"ref": "kivielizalde/titanic-first-steps", "kernel_id": "230704"}, {"ref": "naraquev/notebook362f9d25ee", "kernel_id": "224307"}, {"ref": "bjwiley/tutorial-practice", "kernel_id": "20618"}, {"ref": "zhoularry/scikit-learn-ml-from-start-to-finish", "kernel_id": "251298"}, {"ref": "eugenpt/notebookfd5fe8efb2", "kernel_id": "261826"}, {"ref": "david101/notebook-78260417bbf62a10c097", "kernel_id": "56086"}, {"ref": "lucasschm/notebook8684f4a009", "kernel_id": "234328"}, {"ref": "owencorrigan/titanic", "kernel_id": "50177"}, {"ref": "carsongoeke/notebook7d3a101075", "kernel_id": "201299"}, {"ref": "jwegas/notebooka084c1c24f", "kernel_id": "129909"}, {"ref": "jwegas/notebook1c0cb1fcef", "kernel_id": "102109"}, {"ref": "sumit6b/notebooka90d1ba11e", "kernel_id": "177146"}, {"ref": "saitoxu/test-kaggle", "kernel_id": "146656"}, {"ref": "dineshgds/an-interactive-data-science-tutorial", "kernel_id": "177512"}, {"ref": "charlesmatarles/simple-random-forests-approach-for-titanic", "kernel_id": "497552"}, {"ref": "charlesmatarles/testing-xgb-on-titanic", "kernel_id": "498813"}, {"ref": "mploner/random-forest-benchmark-r", "kernel_id": "62158"}, {"ref": "tautvydas/titanic-challenge", "kernel_id": "484523"}, {"ref": "freeborn/notebookdb9f39c655", "kernel_id": "258256"}, {"ref": "janet7061/notebookcde8f8c2ed", "kernel_id": "218609"}, {"ref": "tiltedace/notebook-aa488cbe79d8dc5ef112", "kernel_id": "40637"}, {"ref": "edwinhe/a-journey-through-titanic", "kernel_id": "46146"}, {"ref": "edwinhe/titanic", "kernel_id": "264751"}, {"ref": "niranr/my-first-script", "kernel_id": "114435"}, {"ref": "niranr/my-first-notebook", "kernel_id": "114437"}, {"ref": "lpfahler/my-first-kernel-the-titanic-dataset", "kernel_id": "230213"}, {"ref": "snorreeikeland/simple-analysis-for-titanic", "kernel_id": "481342"}, {"ref": "nicoring/notebooka5a3b4c822", "kernel_id": "199316"}, {"ref": "kannandreams/titanic-survival-prediction-end-to-end-ml-p-57a55f", "kernel_id": "249489"}, {"ref": "ganeshan/sample", "kernel_id": "85496"}, {"ref": "ganeshan/sample1", "kernel_id": "85500"}, {"ref": "vrathee/notebookb360a54f0b", "kernel_id": "236749"}, {"ref": "varunnambiar/kaggle-session", "kernel_id": "328071"}, {"ref": "hiteshlall/a-journey-through-titanic", "kernel_id": "183232"}, {"ref": "terrencechin/notebook7c5d10bf8f", "kernel_id": "140212"}, {"ref": "analystanand/titanic-surivival", "kernel_id": "561405"}, {"ref": "parvindersingh/notebook8251024fb0", "kernel_id": "190886"}, {"ref": "quej07/notebook-53fc4d731a2e008ed1cf", "kernel_id": "50203"}, {"ref": "quej07/myfirstforest-py", "kernel_id": "143250"}, {"ref": "cjpanpan/a-journey-through-titanic", "kernel_id": "95915"}, {"ref": "cjpanpan/titanic-survival-exploration", "kernel_id": "95921"}, {"ref": "fflc67/a-journey-through-titanic-329b4d1f", "kernel_id": "168275"}, {"ref": "fflc67/a-journey-through-titanic-79c4e66e", "kernel_id": "168277"}, {"ref": "fflc67/a-journey-through-titanic", "kernel_id": "166674"}, {"ref": "fflc67/a-journey-through-titanic-test", "kernel_id": "166677"}, {"ref": "fflc67/a-journey-through-titanic-2ab783d5", "kernel_id": "166697"}, {"ref": "jesuraj/titanic-deepnet-using-keras", "kernel_id": "327508"}, {"ref": "jesuraj/titanic-survival-model-in-sas", "kernel_id": "238776"}, {"ref": "mahsahassankashi/predict-titanic-survival-accuracy-0-83", "kernel_id": "359719"}, {"ref": "mahsahassankashi/titanic-survival-prediction-accuracy-0-82", "kernel_id": "359748"}, {"ref": "siganapathy/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "152987"}, {"ref": "siganapathy/notebookf1dbc4e25f", "kernel_id": "152988"}, {"ref": "siganapathy/a-journey-through-titanic", "kernel_id": "152088"}, {"ref": "kalpuk/fork-of-titanic-kk-python", "kernel_id": "119528"}, {"ref": "kalpuk/fork-of-titanic-kk-python-70afb73f", "kernel_id": "120684"}, {"ref": "kalpuk/random-forest", "kernel_id": "120766"}, {"ref": "kalpuk/titanic-kk-python", "kernel_id": "118361"}, {"ref": "kalpuk/notebook00cee8518a", "kernel_id": "118800"}, {"ref": "yusakuomasa/notebooka3b5edb679", "kernel_id": "218752"}, {"ref": "overdose/titanic-basic-modelling", "kernel_id": "258512"}, {"ref": "dennisye/notebook-8e35b3b5d19e15c2c24e", "kernel_id": "62413"}, {"ref": "radarthreat/notebook6783a544ba", "kernel_id": "97446"}, {"ref": "bcarande/script1", "kernel_id": "71297"}, {"ref": "bcarande/script2test", "kernel_id": "71298"}, {"ref": "bcarande/notebook-c17d361af72d5f6d9a40", "kernel_id": "71466"}, {"ref": "bcarande/notebook-95c05c8a498e38a32be3", "kernel_id": "71468"}, {"ref": "bcarande/notebook-7e788e1739fdee9aa91e", "kernel_id": "71470"}, {"ref": "bcarande/notebook-cf0efc8410f40081ec6a", "kernel_id": "71472"}, {"ref": "garretraziel/basic-model-of-gbc-for-titanic-challenge", "kernel_id": "226644"}, {"ref": "ganeshdata/notebook99f322e90c", "kernel_id": "268799"}, {"ref": "salemameen/notebookbc155063ca", "kernel_id": "88674"}, {"ref": "sreeramganesan/notebook-ab8cd4c65e1e31499944", "kernel_id": "58649"}, {"ref": "jurrienrietveld/simple-dashboards-in-r", "kernel_id": "262908"}, {"ref": "rodriguesra/a-journey-through-titanic", "kernel_id": "31288"}, {"ref": "sousaplex/titanic-first-r", "kernel_id": "161007"}, {"ref": "alfakini/joinville-ml-titanic", "kernel_id": "221434"}, {"ref": "jeremyvoltz/an-interactive-data-science-tutorial", "kernel_id": "179681"}, {"ref": "jeremyvoltz/a-journey-through-titanic", "kernel_id": "179658"}, {"ref": "naixlee/titanic", "kernel_id": "212679"}, {"ref": "devenderbabu/introduction-to-ensembling-stacking-in-python", "kernel_id": "186204"}, {"ref": "jumenta/titanicset1", "kernel_id": "33997"}, {"ref": "avcode/notebook-78a2b23c404daa0d85d0", "kernel_id": "80817"}, {"ref": "elainexia/notebook15978706e4", "kernel_id": "239469"}, {"ref": "jaredcross/simple-regression-titanic", "kernel_id": "38707"}, {"ref": "barrywang/a-journey-through-titanic", "kernel_id": "166050"}, {"ref": "kevaclysm/titanic", "kernel_id": "48818"}, {"ref": "kevaclysm/notebook-a544c005814d1e0f02c2", "kernel_id": "49129"}, {"ref": "rybakovw/titatnic-1", "kernel_id": "162482"}, {"ref": "gdapsy1/notebook-22f998b47cdb410bd3cb", "kernel_id": "29282"}, {"ref": "ciprykyser/cold-as-ice-surviving-titanic-with-xgboost", "kernel_id": "169649"}, {"ref": "anandpatil20/notebookab6dc282f2", "kernel_id": "273206"}, {"ref": "anandpatil20/exploring-survival-on-the-titanic", "kernel_id": "273101"}, {"ref": "alexsmith21/randomforest-benchmark", "kernel_id": "6776"}, {"ref": "mohdatir/nnet1", "kernel_id": "19476"}, {"ref": "mohdatir/random1", "kernel_id": "19406"}, {"ref": "mohdatir/random2", "kernel_id": "19408"}, {"ref": "mohdatir/randomfores", "kernel_id": "19263"}, {"ref": "mohdatir/ragt5", "kernel_id": "19264"}, {"ref": "mohdatir/random", "kernel_id": "19267"}, {"ref": "mohdatir/random-forest", "kernel_id": "19268"}, {"ref": "mohdatir/decisiontree", "kernel_id": "19696"}, {"ref": "mohdatir/random-forest-benchmark-r-1", "kernel_id": "19160"}, {"ref": "mohdatir/randomforest", "kernel_id": "19161"}, {"ref": "mohdatir/rpart-tree", "kernel_id": "20801"}, {"ref": "mohdatir/cforest", "kernel_id": "21240"}, {"ref": "mohdatir/randomforest-borrowed", "kernel_id": "21243"}, {"ref": "mohdatir/trial-borrowed", "kernel_id": "22295"}, {"ref": "mohdatir/xgboost-1", "kernel_id": "22975"}, {"ref": "mohdatir/python", "kernel_id": "24526"}, {"ref": "mohdatir/decision-tree-visualization-submission", "kernel_id": "24517"}, {"ref": "rchanda/notebook-d92da21dbe25f91063aa", "kernel_id": "39988"}, {"ref": "rchanda/notebook-730c99e15a21ef8a07f8", "kernel_id": "39989"}, {"ref": "rchanda/solving-titanic", "kernel_id": "39990"}, {"ref": "rchanda/notebook-d1b1d779f23d828986c7", "kernel_id": "39992"}, {"ref": "rchanda/solving-titanic-1-py", "kernel_id": "39993"}, {"ref": "rchanda/notebook-fdde3e21bea1791f6673", "kernel_id": "39995"}, {"ref": "rchanda/notebook-07dd84c3f48d5665852f", "kernel_id": "40002"}, {"ref": "manojsingh/notebook-ca7cde73454e995f1059", "kernel_id": "65072"}, {"ref": "manojsingh/notebook-c7a07cb6dfa13e5498be", "kernel_id": "65073"}, {"ref": "oyassuu/notebook1dbed6f9f5", "kernel_id": "109171"}, {"ref": "oyassuu/20161031-apply-logistic-to-titanic", "kernel_id": "111737"}, {"ref": "jc3939/notebook37bc03c48a", "kernel_id": "236734"}, {"ref": "adharshrajaram/titanic-hello-world", "kernel_id": "276989"}, {"ref": "jraj0615/notebook9833cc5697", "kernel_id": "199879"}, {"ref": "jasonjz/notebookb2c7440ab8", "kernel_id": "226243"}, {"ref": "jasonjz/titanic-data-science-solutions-b356df", "kernel_id": "226244"}, {"ref": "jasonjz/titanic-data-science-solutions", "kernel_id": "207838"}, {"ref": "jasonjz/introduction-to-ensembling-stacking-in-pyth-c18fb8", "kernel_id": "230818"}, {"ref": "jasonjz/titanic-project", "kernel_id": "230982"}, {"ref": "mahendra1/notebook-6afff58ed5c3f4ff3490", "kernel_id": "21596"}, {"ref": "detroitteatime/notebook-aa1d12b9bcbf72a6ad7e", "kernel_id": "33797"}, {"ref": "detroitteatime/notebook-b3e7062027482c5ebfc2", "kernel_id": "33799"}, {"ref": "detroitteatime/a-journey-through-titanic", "kernel_id": "33794"}, {"ref": "detroitteatime/exploring-survival-on-the-titanic", "kernel_id": "74251"}, {"ref": "detroitteatime/titanic-example", "kernel_id": "74255"}, {"ref": "detroitteatime/kaggle-titanic-001", "kernel_id": "74256"}, {"ref": "seanokeefe/notebook-7f5c1afe5f292cd1fc83", "kernel_id": "82738"}, {"ref": "seanokeefe/notebook-3942f06e6842dc7cc3b7", "kernel_id": "82759"}, {"ref": "seanokeefe/notebook-9f61ab934d23523e160f", "kernel_id": "81846"}, {"ref": "seanokeefe/notebook-7d05c957e3089381a407", "kernel_id": "85075"}, {"ref": "seanokeefe/notebook-2f4f2dcf1f8d54a0fd2c", "kernel_id": "84715"}, {"ref": "seanokeefe/notebook-7048749a9a5a78358bb4", "kernel_id": "84716"}, {"ref": "lastdylan/notebook2b911814d7", "kernel_id": "236814"}, {"ref": "lastdylan/notebook45100e1d0e", "kernel_id": "236816"}, {"ref": "lastdylan/example-of-logistic-regression-on-titanic-data", "kernel_id": "238459"}, {"ref": "ktrueda/notebook-a17a2282041455098b34", "kernel_id": "70855"}, {"ref": "chrisvasquez/notebookcf36f9f949", "kernel_id": "164566"}, {"ref": "codingonthetrain/predict-ages", "kernel_id": "152863"}, {"ref": "codingonthetrain/notebook-f6e376e5d57486c92392", "kernel_id": "22410"}, {"ref": "wingsfan/notebook-c81bf9dadd9bf04bf83e", "kernel_id": "58903"}, {"ref": "wingsfan/notebook-34100440781e71c67f15", "kernel_id": "58904"}, {"ref": "wingsfan/notebook-6f5b879643b1826a17be", "kernel_id": "58880"}, {"ref": "jimmybrown/notebookcc80a60e6e", "kernel_id": "202555"}, {"ref": "shivam2509/01explore", "kernel_id": "101397"}, {"ref": "daivdwang/notebook-0cacdd2a58aba03a241e", "kernel_id": "30113"}, {"ref": "daivdwang/a-journey-through-titanic", "kernel_id": "30008"}, {"ref": "ggdhines/notebook8f843af9bb", "kernel_id": "105103"}, {"ref": "ggdhines/test1", "kernel_id": "105104"}, {"ref": "oburstein/notebookf14664fafe", "kernel_id": "210131"}, {"ref": "nousayma/predicting-survival", "kernel_id": "238883"}, {"ref": "xmnlab/titanic", "kernel_id": "85444"}, {"ref": "xmnlab/fork-of-titanic", "kernel_id": "85710"}, {"ref": "xmnlab/notebook167e51dbdf", "kernel_id": "85688"}, {"ref": "cosminro/a-journey-through-titanic", "kernel_id": "168865"}, {"ref": "xinyic/a-journey-through-titanic", "kernel_id": "111526"}, {"ref": "karthiv/notebook8dc00e83f0", "kernel_id": "278494"}, {"ref": "jscan1/notebook37817ab970", "kernel_id": "219230"}, {"ref": "miniontv/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "156983"}, {"ref": "vimalankvk80/titanic-survival-prediction", "kernel_id": "247359"}, {"ref": "nubeee/notebook-9bc9fa4f4a866a6d7ef7", "kernel_id": "37367"}, {"ref": "nubeee/notebook-072327fa0638bc669ae0", "kernel_id": "37368"}, {"ref": "nubeee/a-journey-through-titanic", "kernel_id": "37369"}, {"ref": "suryanersu/a-journey-through-titanic", "kernel_id": "75865"}, {"ref": "suryanersu/notebook-6b80681a250f0ef61775", "kernel_id": "76179"}, {"ref": "jahchaisang/testing-python-notetbook", "kernel_id": "96209"}, {"ref": "vicky166545/fork-of-titanic-data-science-solutions", "kernel_id": "362990"}, {"ref": "eyecon/kertenkelebek1", "kernel_id": "247738"}, {"ref": "jestonekaggle/titanic-practice", "kernel_id": "100024"}, {"ref": "jestonekaggle/titanic-nb-draft", "kernel_id": "100218"}, {"ref": "ishmaelc/titanic-data-science-solutions", "kernel_id": "275405"}, {"ref": "kirtiranjan/kira-py", "kernel_id": "98599"}, {"ref": "sinankt/notebook-a1d014fa5cb302eb8cf5", "kernel_id": "26681"}, {"ref": "lctsai/test-kaggle-script-function-1", "kernel_id": "18219"}, {"ref": "jensen/notebook-053d200bbc7d2eea2b05", "kernel_id": "79143"}, {"ref": "noruen/introduction-to-ensembling-stacking-in-python", "kernel_id": "184821"}, {"ref": "noruen/a-journey-through-titanic-fe7b9e7f", "kernel_id": "109412"}, {"ref": "noruen/a-journey-through-titanic", "kernel_id": "108637"}, {"ref": "vikrame/notebook-851f5b0cc7dbaa28ddf9", "kernel_id": "30602"}, {"ref": "arunvsuresh/notebook4a8182c826", "kernel_id": "272991"}, {"ref": "arunvsuresh/notebook066a97a492", "kernel_id": "272993"}, {"ref": "mbp14mtp/titanic-failure", "kernel_id": "205611"}, {"ref": "adagupt/titanic", "kernel_id": "25100"}, {"ref": "adagupt/notebook-713e36418624fd90d1cd", "kernel_id": "25087"}, {"ref": "redpine/a-journey-through-titanic", "kernel_id": "124502"}, {"ref": "yatshanau/a-journey-through-titanic", "kernel_id": "99577"}, {"ref": "sandermartijnkerkdijk/random-forest-benchmark-r", "kernel_id": "259"}, {"ref": "qbytesteven/a-journey-through-titanic", "kernel_id": "90692"}, {"ref": "krasnobaev/a-journey-through-titanic", "kernel_id": "95918"}, {"ref": "moandcompany/a-journey-through-titanic", "kernel_id": "42750"}, {"ref": "moandcompany/notebook-c2cf0e45daa73eb3fb31", "kernel_id": "42751"}, {"ref": "soliton647/a-journey-through-titanic", "kernel_id": "121784"}, {"ref": "rahulkumaraws/notebookba9441b350", "kernel_id": "275655"}, {"ref": "paularmand/notebook4746fe2090", "kernel_id": "213485"}, {"ref": "lemoner/notebook9af0c3da4f", "kernel_id": "233862"}, {"ref": "harshaofdevireddy/notebook-1ec0160eaf242b04ef6e", "kernel_id": "75853"}, {"ref": "harshaofdevireddy/notebook-91eb3ab942c14415481a", "kernel_id": "75854"}, {"ref": "harshaofdevireddy/notebook-c82d22342af0db432c33", "kernel_id": "75855"}, {"ref": "harshaofdevireddy/notebook-d78c38b2d54d2edc39c4", "kernel_id": "76133"}, {"ref": "garidian/an-interactive-data-science-tutorial", "kernel_id": "262183"}, {"ref": "petermc/python-seaborn-pairplot-example", "kernel_id": "6957"}, {"ref": "cleberamaral/scp23", "kernel_id": "16413"}, {"ref": "sacherus/a-journey-through-titanic", "kernel_id": "98226"}, {"ref": "pmarcelino/data-analysis-and-feature-extraction-with-python", "kernel_id": "831877"}, {"ref": "theofilos/notebook-a95f67391a60949736b8", "kernel_id": "74148"}, {"ref": "theofilos/notebook-de1df484da5ddd8cc8c9", "kernel_id": "73981"}, {"ref": "theofilos/notebook-81d27d64a0f9205aaeba", "kernel_id": "73982"}, {"ref": "theofilos/notebook-b5180a761a19f6a3ef75", "kernel_id": "73984"}, {"ref": "gyurisc/notebook-483ee59dc3654e22abfc", "kernel_id": "75771"}, {"ref": "jensonjoy/introduction-to-ensembling-stacking-in-python", "kernel_id": "185526"}, {"ref": "madraziw/a-journey-through-titanic", "kernel_id": "118177"}, {"ref": "madraziw/a-journey-through-titanic-39b67722", "kernel_id": "118204"}, {"ref": "shangtai/notebook136d256c03", "kernel_id": "272436"}, {"ref": "amirahff/notebook2ee1029ec7", "kernel_id": "156071"}, {"ref": "martijn/exploring-survival-on-the-titanic", "kernel_id": "99909"}, {"ref": "blakeburge/notebook56a5b76703", "kernel_id": "247143"}, {"ref": "madan0ram/tutorial", "kernel_id": "294"}, {"ref": "shiruizhi1234/notebook-7a1d5211fbe7c8a251ac", "kernel_id": "22591"}, {"ref": "zeworst/a-journey-through-titanic", "kernel_id": "156410"}, {"ref": "zeworst/a-journey-through-titanic-e2ed8983", "kernel_id": "156411"}, {"ref": "zeworst/a-journey-through-titanic-10da3319", "kernel_id": "156412"}, {"ref": "cfsnyder/testing", "kernel_id": "114446"}, {"ref": "saurabhbhatt/titanic-survival-prediction", "kernel_id": "244780"}, {"ref": "cheunjm/notebookd58bd1df0c", "kernel_id": "114995"}, {"ref": "aaronhunt/notebook172e30f814", "kernel_id": "170324"}, {"ref": "aaronhunt/notebookeda212166c", "kernel_id": "170325"}, {"ref": "sakshigp/notebook-e6360f46dcf1f531f701", "kernel_id": "79854"}, {"ref": "sakshigp/scikit-learn-ml-from-start-to-finish", "kernel_id": "79632"}, {"ref": "emeeks/notebook763cf0a0b4", "kernel_id": "92935"}, {"ref": "y00y00/notebook74cd626ea9", "kernel_id": "247591"}, {"ref": "azraelyg/notebook-3a443c95209f9b7ab035", "kernel_id": "33016"}, {"ref": "misgod/titanic", "kernel_id": "85248"}, {"ref": "misgod/notebook-5780f6b2e504d37a7b53", "kernel_id": "85250"}, {"ref": "misgod/notebook-7a2c696dd53468c3f607", "kernel_id": "85252"}, {"ref": "jadeddib/test2", "kernel_id": "20244"}, {"ref": "varimp/a-mostly-tidyverse-tour-of-the-titanic", "kernel_id": "271167"}, {"ref": "varimp/notebook796ec554fa", "kernel_id": "269727"}, {"ref": "varimp/tutorial-workbook", "kernel_id": "573060"}, {"ref": "behemoth/a-journey-through-titanic", "kernel_id": "220187"}, {"ref": "shailrk/notebook73a72435b1", "kernel_id": "104126"}, {"ref": "shailrk/a-journey-through-titanic", "kernel_id": "116308"}, {"ref": "xiqianchen/titanic-survival-prediction-1-00", "kernel_id": "240818"}, {"ref": "coderchenzhi/randomforest-cforest-method", "kernel_id": "17587"}, {"ref": "ayushkumar/submission-titanic", "kernel_id": "572663"}, {"ref": "anujkumar/titanic-classifier-ensemble-stacking-with-xgboost", "kernel_id": "233944"}, {"ref": "teckkoon/basic-model-using-pandas-and-sklearn", "kernel_id": "100551"}, {"ref": "dsinha3/notebook6230fe992d", "kernel_id": "242632"}, {"ref": "viveknitj/test9999", "kernel_id": "6565"}, {"ref": "ljavier/notebook-f8e01815d0572c849fb4", "kernel_id": "24031"}, {"ref": "illusion1912/notebook-607b0d50c073efaf5b2f", "kernel_id": "52544"}, {"ref": "zhaozhiyong1989/notebook6854418628", "kernel_id": "90007"}, {"ref": "tomas23s/exploring-survival-on-the-titanic", "kernel_id": "276205"}, {"ref": "wwang107/notebook11fe474144", "kernel_id": "94052"}, {"ref": "wwang107/notebook1645bc1c34", "kernel_id": "94085"}, {"ref": "wwang107/notebookb64ce3568d", "kernel_id": "94121"}, {"ref": "wwang107/titanic-age-imputation-using-random-forest", "kernel_id": "94080"}, {"ref": "wwang107/notebookd028733649", "kernel_id": "93338"}, {"ref": "nickcedwards/test-notebook", "kernel_id": "140260"}, {"ref": "nickcedwards/a-journey-through-titanic", "kernel_id": "140256"}, {"ref": "sidon1/a-journey-through-titanic", "kernel_id": "107045"}, {"ref": "sidon1/exploratory-tutorial-titanic", "kernel_id": "107050"}, {"ref": "relguzman/a-journey-through-titanic", "kernel_id": "160459"}, {"ref": "algony/myfirstkernel", "kernel_id": "271073"}, {"ref": "harrycohen/fork-of-an-interactive-data-science-tutorial-ad84e", "kernel_id": "245614"}, {"ref": "harrycohen/an-interactive-data-science-tutorial-ad84ee", "kernel_id": "237585"}, {"ref": "apachaves/notebook6ad22b9110", "kernel_id": "112683"}, {"ref": "romaingrandchamp/titanic-data-science-solutions", "kernel_id": "239896"}, {"ref": "eacontang/titanic-disaster", "kernel_id": "244384"}, {"ref": "demien/a-journey-through-titanic", "kernel_id": "123667"}, {"ref": "demien/first-try", "kernel_id": "121915"}, {"ref": "digitalninja/titanic-multiple-models", "kernel_id": "21654"}, {"ref": "digitalninja/mgmt-lab6-1", "kernel_id": "19952"}, {"ref": "nagelandreas/training1", "kernel_id": "148649"}, {"ref": "ovallbe/notebook-21d881b9b37924d4a300", "kernel_id": "65203"}, {"ref": "ovallbe/notebook-7e71e9de37037fcacc61", "kernel_id": "65204"}, {"ref": "gauravgupta/notebook-88087c1c637bace031c7", "kernel_id": "37742"}, {"ref": "jomisilfe/entry", "kernel_id": "14561"}, {"ref": "jomisilfe/mas-un", "kernel_id": "14565"}, {"ref": "jomisilfe/brabu", "kernel_id": "14566"}, {"ref": "jitens/scikit-learn-ml-from-start-to-finish", "kernel_id": "239892"}, {"ref": "terrychen0302/a-journey-through-titanic", "kernel_id": "91205"}, {"ref": "theagarajan/titantic", "kernel_id": "479948"}, {"ref": "keisuke213/titanic", "kernel_id": "194855"}, {"ref": "oshokumar1993/try123", "kernel_id": "165044"}, {"ref": "joshuacortez/notebook-e03c34332565c75dedeb", "kernel_id": "44619"}, {"ref": "joshuacortez/notebook-c731f07ba7b1db351acf", "kernel_id": "79563"}, {"ref": "grixxy/a-journey-through-titanic-f5e0c692", "kernel_id": "163787"}, {"ref": "grixxy/a-journey-through-titanic", "kernel_id": "163785"}, {"ref": "eaarico/title", "kernel_id": "856"}, {"ref": "justinkuspa/dl-titanic", "kernel_id": "308260"}, {"ref": "justinkuspa/decision-lab-titanic", "kernel_id": "308264"}, {"ref": "kennethchan/notebook5c1c5915e8", "kernel_id": "142742"}, {"ref": "yasha02/survival", "kernel_id": "106669"}, {"ref": "mukundv/titanic-1", "kernel_id": "675"}, {"ref": "mukundv/titanic-2", "kernel_id": "676"}, {"ref": "tiwarisiddhant/notebook-667adbf34c815357dd35", "kernel_id": "27613"}, {"ref": "tiwarisiddhant/titanic-kaggle", "kernel_id": "27614"}, {"ref": "jeradrose/playing-around", "kernel_id": "4804"}, {"ref": "jeradrose/a-quick-test", "kernel_id": "4807"}, {"ref": "jeradrose/testing-comments", "kernel_id": "4814"}, {"ref": "fsgp1973/a-journey-through-titanic", "kernel_id": "104336"}, {"ref": "blueorange/titanic-data-science-solutions", "kernel_id": "255984"}, {"ref": "blueorange/notebooke8557abc2c", "kernel_id": "256023"}, {"ref": "yuntai/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "157049"}, {"ref": "amitpatell/a-journey-through-titanic", "kernel_id": "98791"}, {"ref": "hjunaid40/scikit-learn-ml-from-start-to-finish", "kernel_id": "88667"}, {"ref": "matce20/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "167175"}, {"ref": "benybrahim/notebook-1ccbae4926045e925039", "kernel_id": "64428"}, {"ref": "benybrahim/notebook70539c9c4a", "kernel_id": "111699"}, {"ref": "benybrahim/notebook6539c7e332", "kernel_id": "111687"}, {"ref": "benybrahim/best-titanic-benchmark", "kernel_id": "107936"}, {"ref": "benybrahim/brahim", "kernel_id": "104881"}, {"ref": "simhadri/notebook03f7d9eacb", "kernel_id": "190180"}, {"ref": "pablodiegorosell/notebook-63d93b22fa83277c0dfd", "kernel_id": "30626"}, {"ref": "pablodiegorosell/sinking", "kernel_id": "30671"}, {"ref": "pablodiegorosell/kaggle-titanic-001", "kernel_id": "30680"}, {"ref": "pablodiegorosell/notebook-f2f0f55ee2a1602368dc", "kernel_id": "30681"}, {"ref": "orestophe/title", "kernel_id": "247046"}, {"ref": "orestophe/something-v0-1", "kernel_id": "246225"}, {"ref": "djmmoss/notebook-f80715ce4e9f851c33e7", "kernel_id": "21448"}, {"ref": "vacant/test-templete", "kernel_id": "53271"}, {"ref": "vacant/notebook-d462bf62d34c21169642", "kernel_id": "53272"}, {"ref": "ivanpopov/notebooka9ef54d292", "kernel_id": "131951"}, {"ref": "jesusjsc/notebook5b1fd25884", "kernel_id": "247329"}, {"ref": "andrewsmedina/notebooka9f2d38eef", "kernel_id": "101546"}, {"ref": "heyengel/kaggle-titanic-001", "kernel_id": "22701"}, {"ref": "konglq/an-interactive-data-science-tutorial-e37f27", "kernel_id": "233980"}, {"ref": "dorraelabed/notebook51febf2748", "kernel_id": "210871"}, {"ref": "dorraelabed/notebookc15d78bc2d", "kernel_id": "210878"}, {"ref": "krusheel/titanic-exploratory-analysis", "kernel_id": "829306"}, {"ref": "ayocca/notebook-e1d434f78f8f210f3db4", "kernel_id": "84342"}, {"ref": "mbenkhemis/an-interactive-data-science-tutorial", "kernel_id": "171872"}, {"ref": "mbenkhemis/an-interactive-data-science-tutorial-7d2bbddf", "kernel_id": "173299"}, {"ref": "aguschin/notebook79d6458c53", "kernel_id": "251584"}, {"ref": "domokane/titaniclearningqi", "kernel_id": "244877"}, {"ref": "uberstig/kaggle-first-ipythonnotebook", "kernel_id": "31849"}, {"ref": "deepjyotisaha/titanic-sample", "kernel_id": "259478"}, {"ref": "yuqingxue/notebook-eb13e6f2940844ed18d8", "kernel_id": "58791"}, {"ref": "yuqingxue/exploring-survival-on-the-titanic1", "kernel_id": "95040"}, {"ref": "yuqingxue/eda-to-prediction-dietanic", "kernel_id": "435597"}, {"ref": "yuqingxue/yuqing", "kernel_id": "162759"}, {"ref": "ricardodfilipe/notebooke4c9b41c0c", "kernel_id": "103629"}, {"ref": "kwangjing/notebook47dbc14bf5", "kernel_id": "95118"}, {"ref": "puneethnarayan/titanic-data", "kernel_id": "255215"}, {"ref": "biubiu/test111", "kernel_id": "2891"}, {"ref": "ioannisyannou/simple-logistic-regression-model", "kernel_id": "241622"}, {"ref": "ioannisyannou/simple-svm-model-with-a-linear-kernel", "kernel_id": "242327"}, {"ref": "xudong/first-try", "kernel_id": "7927"}, {"ref": "bakanchevn/titanic-test", "kernel_id": "208386"}, {"ref": "mjalajel/jalajel-titanic", "kernel_id": "97667"}, {"ref": "sauravghosh/stacking-python", "kernel_id": "407722"}, {"ref": "anuraggupta/titanic-classifier", "kernel_id": "240491"}, {"ref": "dataninja2014/exploring-survival-on-the-titanic", "kernel_id": "153561"}, {"ref": "sarsho/scripts-test-1", "kernel_id": "12696"}, {"ref": "sarsho/scripts-test-2", "kernel_id": "12697"}, {"ref": "strask/a-journey-through-titanic", "kernel_id": "118012"}, {"ref": "samukuosmanen/test2", "kernel_id": "54787"}, {"ref": "samukuosmanen/notebook-c55c0a8183ca682338a2", "kernel_id": "54762"}, {"ref": "samukuosmanen/notebook-093f0a0464e69af256ec", "kernel_id": "54688"}, {"ref": "samukuosmanen/titanic-test", "kernel_id": "54690"}, {"ref": "sebbue/notebookd298dc1b01", "kernel_id": "184574"}, {"ref": "sebbue/a-journey-through-titanic", "kernel_id": "184572"}, {"ref": "ksaluja/a-journey-through-titanic", "kernel_id": "174361"}, {"ref": "locomotion/decision-tree", "kernel_id": "241386"}, {"ref": "eneskemalergin/notebook-2889e4d3c14925ee7a2d", "kernel_id": "20726"}, {"ref": "eneskemalergin/notebook-775b79bea4e7418a2bac", "kernel_id": "22539"}, {"ref": "zbedenko/notebook652ea7c6fe", "kernel_id": "236422"}, {"ref": "joep89/a-journey-through-titanic", "kernel_id": "30620"}, {"ref": "arkadiuszj/firstscript", "kernel_id": "83943"}, {"ref": "spowers/titanic", "kernel_id": "11003"}, {"ref": "spowers/notebook58ce790b1e", "kernel_id": "173333"}, {"ref": "johncotter/notebook2051c6d28c", "kernel_id": "276936"}, {"ref": "honzas/notebook-a51bde23c182bfbf90ba", "kernel_id": "21032"}, {"ref": "geekybit/titanic-data-science-solutions", "kernel_id": "185792"}, {"ref": "timkung/notebooka35c1889d8", "kernel_id": "121300"}, {"ref": "martinduys/titanic-wip", "kernel_id": "149979"}, {"ref": "martinduys/titanic-data-science-solutions", "kernel_id": "160133"}, {"ref": "andymitrich/notebookbe642f4b1a", "kernel_id": "206279"}, {"ref": "crosofg/a-journey-through-titanic", "kernel_id": "119767"}, {"ref": "andyhe/a-journey-through-titanic", "kernel_id": "163046"}, {"ref": "nmaheshw/a-journey-through-titanic", "kernel_id": "114534"}, {"ref": "zhiliweng/test1", "kernel_id": "107221"}, {"ref": "swarnimsoni/a-journey-through-titanic", "kernel_id": "93791"}, {"ref": "agarwalgopi/exploratory-tutorial-titanic-disaster", "kernel_id": "113949"}, {"ref": "zhenbinwu/a-journey-through-titanic", "kernel_id": "119002"}, {"ref": "feirie/notebook3d11a5b71b", "kernel_id": "117013"}, {"ref": "nameyy/a-journey-through-titanic", "kernel_id": "101852"}, {"ref": "cdupin/using-boruta-feature-selection-wtih-random-forest", "kernel_id": "164342"}, {"ref": "savarin/titanic-test", "kernel_id": "116403"}, {"ref": "savarin/notebook-4994ee21f41b56e4c18a", "kernel_id": "62662"}, {"ref": "savarin/notebook-22dd0ab6f5fa65537ee8", "kernel_id": "62664"}, {"ref": "savarin/notebook-995eab177856a4cac0c6", "kernel_id": "67172"}, {"ref": "savarin/notebook-1783ad8f9e428f46265d", "kernel_id": "67147"}, {"ref": "savarin/pycon-uk-introductory-tutorial", "kernel_id": "67148"}, {"ref": "savarin/notebook-d145ef56199ee651d956", "kernel_id": "67149"}, {"ref": "savarin/notebook-a09dca8e95db22e86cf2", "kernel_id": "67150"}, {"ref": "savarin/notebook-6a02880eb2ae2bc7f2ad", "kernel_id": "67183"}, {"ref": "savarin/notebook-b3134412f7bfba809ef4", "kernel_id": "67184"}, {"ref": "ksjpswaroop/kaggle-starter", "kernel_id": "570772"}, {"ref": "venknar/titanic-venknar", "kernel_id": "272260"}, {"ref": "gravity/testing", "kernel_id": "5402"}, {"ref": "gravity/feature-engineering", "kernel_id": "5859"}, {"ref": "keshavkumar/tutorial-from-datacamp", "kernel_id": "48203"}, {"ref": "keshavkumar/tutorial-from-data-camp-decision-tree", "kernel_id": "170455"}, {"ref": "keshavkumar/tutorial-data-camp-decision-tree-2", "kernel_id": "170470"}, {"ref": "totalrecall/model-for-titanic", "kernel_id": "17641"}, {"ref": "totalrecall/titanic-notebook", "kernel_id": "35363"}, {"ref": "totalrecall/titanic-random-forest-python", "kernel_id": "106997"}, {"ref": "edmarkovich/titanic", "kernel_id": "144304"}, {"ref": "brajen259/notebook603dc218e6", "kernel_id": "223489"}, {"ref": "bobajet/notebook9fb89c4e25", "kernel_id": "129315"}, {"ref": "vbarbarosh/vbarbaros-titanic-model", "kernel_id": "245832"}, {"ref": "wwbeyond/a-journey-through-titanic-8105b119", "kernel_id": "105319"}, {"ref": "wwbeyond/notebookeec68ee36c", "kernel_id": "105302"}, {"ref": "mtsardakas/a-journey-through-titanic", "kernel_id": "167007"}, {"ref": "strangecoder69/titanicdoobi", "kernel_id": "82510"}, {"ref": "whammy1106/notebook-c1a10c8ac2efd13a8269", "kernel_id": "82226"}, {"ref": "crazysona/notebook842a7dc873", "kernel_id": "204173"}, {"ref": "edwardckw/an-interactive-data-science-tutorial", "kernel_id": "168467"}, {"ref": "edwardckw/a-journey-through-titanic", "kernel_id": "100600"}, {"ref": "manasm/titanic1", "kernel_id": "35751"}, {"ref": "soutik/omg-viz", "kernel_id": "27869"}, {"ref": "ramonafli/titanic", "kernel_id": "271198"}, {"ref": "ramonafli/notebook3cb47e3f54", "kernel_id": "272369"}, {"ref": "ramonafli/pytanic", "kernel_id": "271742"}, {"ref": "kyanyoga/exploring-survival-on-the-titanic", "kernel_id": "121920"}, {"ref": "iamanshulmalk/first", "kernel_id": "187720"}, {"ref": "ramjikannanakar/notebook-1a3f56892117569d1e16", "kernel_id": "71883"}, {"ref": "ramjikannanakar/notebook-41f1cfad552eb7a6a14c", "kernel_id": "71884"}, {"ref": "ramjikannanakar/notebook-b21500cc9592c79d098f", "kernel_id": "71886"}, {"ref": "wangjue444/about-a-journey-of-titanic", "kernel_id": "202900"}, {"ref": "wangjue444/exploring-survival-on-the-titanic", "kernel_id": "200244"}, {"ref": "wangjue444/wangjue-s-stab-on-titanic", "kernel_id": "200254"}, {"ref": "wangjue444/notebook13b8e3dfd3", "kernel_id": "200332"}, {"ref": "wangjue444/introduction-to-ensembling-stacking-in-python", "kernel_id": "199156"}, {"ref": "wangjue444/notebook5db4cc1b41", "kernel_id": "199052"}, {"ref": "wangjue444/notebook-e77e02c5ef860eb53c96", "kernel_id": "71102"}, {"ref": "bengballard/notebook2654bc60a4", "kernel_id": "205817"}, {"ref": "bibins/randomforest", "kernel_id": "160683"}, {"ref": "architdxb/my-script-2", "kernel_id": "117600"}, {"ref": "architdxb/titanic-3", "kernel_id": "121014"}, {"ref": "architdxb/my-script", "kernel_id": "114289"}, {"ref": "anishkny/notebooka0c8ef117e", "kernel_id": "265092"}, {"ref": "charubutr/a-journey-through-titanic", "kernel_id": "51848"}, {"ref": "bradfordblack/notebook-07d5f98ed193b4fdb977", "kernel_id": "62612"}, {"ref": "beepboopbeepboop/a-journey-through-titanic", "kernel_id": "92750"}, {"ref": "bloomy/exploratory-tutorial-titanic", "kernel_id": "109605"}, {"ref": "arvindsp/notebookda553fec00", "kernel_id": "105276"}, {"ref": "vedsarkushwaha/notebook6996f51ef7", "kernel_id": "101982"}, {"ref": "ddandur/notebook-f0d20995ec65008f2ea8", "kernel_id": "33869"}, {"ref": "effydog/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "162502"}, {"ref": "kesamet/notebook-06bc2ac33a06b226ec9f", "kernel_id": "33455"}, {"ref": "kesamet/getting-started-with-titanic", "kernel_id": "33456"}, {"ref": "kesamet/a-journey-through-titanic", "kernel_id": "33450"}, {"ref": "renegarxia/titanic-r", "kernel_id": "79126"}, {"ref": "zhangyi0037/notebook-ebdf03bd19a598749e87", "kernel_id": "31368"}, {"ref": "butterkaffee/r-notebook1", "kernel_id": "44820"}, {"ref": "mlefkovitz/a-journey-through-titanic", "kernel_id": "174712"}, {"ref": "ricardoyabe/notebookbc7d959e33", "kernel_id": "95084"}, {"ref": "abhinav213/notebookbaa90adebe", "kernel_id": "120274"}, {"ref": "lucasevsala/notebook-7154a64c3796f9c7cab4", "kernel_id": "50884"}, {"ref": "cgnolo/titanic-data-science-solutions-personal-training", "kernel_id": "239755"}, {"ref": "melodiemoorefieldwilson/testing", "kernel_id": "646"}, {"ref": "johnnystrings/r-gbm-method", "kernel_id": "19215"}, {"ref": "wrudebusch/xgboost-example-python", "kernel_id": "55249"}, {"ref": "princelysid/a-journey-through-titanic", "kernel_id": "105790"}, {"ref": "bulutcocuk/notebook0aa93d93fa", "kernel_id": "164768"}, {"ref": "momentaj/notebook065fa36205", "kernel_id": "108337"}, {"ref": "momentaj/notebook7844a4be26", "kernel_id": "110501"}, {"ref": "momentaj/notebookd36f171cf3", "kernel_id": "112187"}, {"ref": "momentaj/titanic-randomforest-mice", "kernel_id": "112190"}, {"ref": "viethoangcr/notebook-19926a356dec130ee44f", "kernel_id": "22477"}, {"ref": "viethoangcr/notebook-42edbc00b7850ec0b095", "kernel_id": "22479"}, {"ref": "ericren/test-cod", "kernel_id": "12037"}, {"ref": "kkremski/titanic-survivors-v3-1", "kernel_id": "114557"}, {"ref": "llgigll/notebook8ca1ea2d5b", "kernel_id": "162196"}, {"ref": "natsu05/notebook91d713e7a5", "kernel_id": "161067"}, {"ref": "natsu05/myfirstscript", "kernel_id": "161043"}, {"ref": "natsu05/test-script-1-titanic", "kernel_id": "166809"}, {"ref": "natsu05/notebooke779c8b0f8", "kernel_id": "166813"}, {"ref": "natsu05/titanic-using-r", "kernel_id": "166951"}, {"ref": "squishymage/titanic-testing", "kernel_id": "270552"}, {"ref": "squishymage/titanic-data-science-solutions", "kernel_id": "270558"}, {"ref": "okezie/titanic-data-science-solutions", "kernel_id": "229977"}, {"ref": "vsmolyakov/ml-analysis-of-titanic-dataset", "kernel_id": "88024"}, {"ref": "kkanazawa/notebook-fa43b89a98977d833c79", "kernel_id": "27691"}, {"ref": "ganeshkaggle/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "172766"}, {"ref": "ganeshkaggle/notebook0b504a3acd", "kernel_id": "174819"}, {"ref": "oberoigagan/notebookf8f5b28f54", "kernel_id": "89310"}, {"ref": "oberoigagan/titanic", "kernel_id": "89313"}, {"ref": "saravia/notebook476a1aa24e", "kernel_id": "185405"}, {"ref": "jameskhoo/deep-learning-with-keras-and-tensorflow", "kernel_id": "376558"}, {"ref": "llfelicilda/titanic-machine-learning", "kernel_id": "115611"}, {"ref": "llfelicilda/a-journey-through-titanic-9d35daa3", "kernel_id": "115984"}, {"ref": "jmccabe/notebookbb3a07490f", "kernel_id": "181222"}, {"ref": "cpamieta/testersss", "kernel_id": "217156"}, {"ref": "cpamieta/testerrrr", "kernel_id": "218790"}, {"ref": "cpamieta/notebook89c0cb623e", "kernel_id": "218537"}, {"ref": "kevinalai/notebook00944a35cb", "kernel_id": "109443"}, {"ref": "crisliu/titanic-1", "kernel_id": "29360"}, {"ref": "crisliu/titanic-1-notebook", "kernel_id": "29361"}, {"ref": "asif31iqbal/simple-linear-regression", "kernel_id": "704779"}, {"ref": "gandroz/notebook749e625808", "kernel_id": "118958"}, {"ref": "juanarias/notebook96c0d21741", "kernel_id": "102223"}, {"ref": "emillarsson/titanic-xgboost", "kernel_id": "136877"}, {"ref": "mikebobrov/notebook035a6e53bf", "kernel_id": "263928"}, {"ref": "yashwantsagar/notebook8a5df093c1", "kernel_id": "123215"}, {"ref": "akashansari/a-journey-through-titanic", "kernel_id": "89673"}, {"ref": "marbel/titanic-eda-with-python-seaborn", "kernel_id": "136056"}, {"ref": "bodowd/notebook1e8b8b2057", "kernel_id": "111202"}, {"ref": "luyaoxu/a-journey-through-titanic", "kernel_id": "191436"}, {"ref": "imanol/notebook7f54aaef65", "kernel_id": "97400"}, {"ref": "ruslans/a-journey-through-titanic", "kernel_id": "102384"}, {"ref": "joaopcoelho/notebook-0c2cb3026c325d5b4356", "kernel_id": "30668"}, {"ref": "subhashbylaiah/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "168282"}, {"ref": "jiqiujia/a-journey-through-titanic", "kernel_id": "211052"}, {"ref": "lvraikkonen/logistic-model-using-scikit-learn", "kernel_id": "18090"}, {"ref": "manuelsalgueiro/a-journey-through-titanic-36851d58", "kernel_id": "142474"}, {"ref": "n1tn31ht/titanic-first-tutorial", "kernel_id": "275794"}, {"ref": "redroy44/tidy-titanic-script", "kernel_id": "124747"}, {"ref": "alexeym/notebook-bf4fb98be18eb1060d56", "kernel_id": "53741"}, {"ref": "alexeym/notebook-dbd3a0b9e513dfe1a929", "kernel_id": "53746"}, {"ref": "alexeym/notebook-54ff9ed5af026f61baca", "kernel_id": "53747"}, {"ref": "alexeym/notebook-a42a177d3c55ffa3d4e6", "kernel_id": "53748"}, {"ref": "alexeym/notebook-a49c8e160728c92eb6c8", "kernel_id": "53749"}, {"ref": "saopayne/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "166434"}, {"ref": "saopayne/a-journey-through-titanic", "kernel_id": "166266"}, {"ref": "kensei/notebookaa6827221a", "kernel_id": "99899"}, {"ref": "shivendraiitkgp/notebooke606786eff", "kernel_id": "90517"}, {"ref": "shivendraiitkgp/scikit-learn-ml-from-start-to-finish", "kernel_id": "90600"}, {"ref": "pedmiston/notebook44515822ff", "kernel_id": "102942"}, {"ref": "milin15/notebook13512d96b4", "kernel_id": "96569"}, {"ref": "afetisov/titanic-classification-hw5", "kernel_id": "470616"}, {"ref": "dpaurelio/notebook-074d3c9637e08cfd6992", "kernel_id": "20605"}, {"ref": "octavianh/a-journey-through-titanic-2", "kernel_id": "119879"}, {"ref": "hfchoi/an-interactive-data-science-tutorial-e37f27", "kernel_id": "233874"}, {"ref": "gandalf1292/titanictest", "kernel_id": "17143"}, {"ref": "bhorkar/abhijeet-bhorkar", "kernel_id": "86351"}, {"ref": "essalj/notebooka778b03bce", "kernel_id": "135359"}, {"ref": "bisaria/titanic-lasso-ridge-implementation", "kernel_id": "66042"}, {"ref": "willamette/introduction-to-ensembling-stacking-in-python", "kernel_id": "188461"}, {"ref": "psahoo/exploratory-tutorial-titanic", "kernel_id": "108472"}, {"ref": "jiminottawa/introduction-to-ensembling-stacking-in-python", "kernel_id": "196207"}, {"ref": "jasper7/practice-titanic", "kernel_id": "168780"}, {"ref": "jasper7/a-journey-through-titanic", "kernel_id": "109769"}, {"ref": "jasper7/random-forest-benchmark-r", "kernel_id": "109770"}, {"ref": "beckyb/notebook-5dacb02c5de004bf4143", "kernel_id": "43988"}, {"ref": "apratim87/basic", "kernel_id": "107447"}, {"ref": "smartsn123/titanic-random-forest", "kernel_id": "175912"}, {"ref": "mindexodus/a-journey-through-titanic", "kernel_id": "170579"}, {"ref": "shuangdouhuang/exploring-survival-on-the-titanic", "kernel_id": "261129"}, {"ref": "anaskad/step-by-step-solving-titanic-problem", "kernel_id": "317100"}, {"ref": "vasudha/naive-bayes-visualization-and-submission", "kernel_id": "11014"}, {"ref": "sayanpaul/notebook3076c3eb59", "kernel_id": "175949"}, {"ref": "silvermoonlight/random-forest-benchmark-r", "kernel_id": "137974"}, {"ref": "sayontan/a-journey-through-titanic", "kernel_id": "90833"}, {"ref": "princujain/notebookb141c2b55a", "kernel_id": "112462"}, {"ref": "nareshbabral/notebook17f07a8ffa", "kernel_id": "203118"}, {"ref": "thegandhi/titanic-practice", "kernel_id": "215112"}, {"ref": "austinharrison/notebook-924198866c4f005ad69a", "kernel_id": "72270"}, {"ref": "austinharrison/notebook-5b821038643edfc4328a", "kernel_id": "72271"}, {"ref": "austinharrison/practicing-r-with-titanic-dataset", "kernel_id": "73131"}, {"ref": "andrasczigany/notebook930e84fce1", "kernel_id": "92863"}, {"ref": "jtitusj/a-journey-through-titanic", "kernel_id": "115911"}, {"ref": "qbbian/a-journey-through-titanic", "kernel_id": "116293"}, {"ref": "roblevin/notebookaa53b51f48", "kernel_id": "124849"}, {"ref": "yuxiangzh/python", "kernel_id": "19870"}, {"ref": "rayhanmomin/first-kaggle", "kernel_id": "76409"}, {"ref": "alexgecontrol/notebook-97a73e678b5e0a2ccac0", "kernel_id": "31851"}, {"ref": "pratik1390/notebook948303435d", "kernel_id": "172792"}, {"ref": "pratik1390/starting", "kernel_id": "172351"}, {"ref": "pratik1390/notebook773f93b608", "kernel_id": "172349"}, {"ref": "greatdzx/titanic-test-1", "kernel_id": "177160"}, {"ref": "pranalijalgam/titanic-classification-using-k-fold-cv", "kernel_id": "446989"}, {"ref": "minipci/notebook-e5df67c4a7d214114b25", "kernel_id": "37297"}, {"ref": "kalanden/notebookf0986d6c24", "kernel_id": "120193"}, {"ref": "dscientist/notebook55b1d1576b", "kernel_id": "102605"}, {"ref": "sumone/notebookbc01110182", "kernel_id": "264153"}, {"ref": "sumone/first", "kernel_id": "66766"}, {"ref": "contemplator/beat-the-benchmark-with-one-cool-trick", "kernel_id": "54043"}, {"ref": "neilzhang/notebookc1d21d50c4", "kernel_id": "133006"}, {"ref": "neilzhang/a-journey-through-titanic", "kernel_id": "135072"}, {"ref": "anand1989/notebook53fe115164", "kernel_id": "223086"}, {"ref": "korymath/kmathewson-testing", "kernel_id": "95796"}, {"ref": "naffyy/notebook", "kernel_id": "28318"}, {"ref": "naffyy/train-new-and-test-new-are-available-i", "kernel_id": "28319"}, {"ref": "naffyy/notebook-8d97ed030a529b3ef42f", "kernel_id": "28320"}, {"ref": "unknot/qqqqq", "kernel_id": "1244"}, {"ref": "anmol07/titanic-survival-prediction", "kernel_id": "229120"}, {"ref": "feixia/a-journey-through-titanic", "kernel_id": "86007"}, {"ref": "shashi12533/roy-s-titanic-notebook", "kernel_id": "129414"}, {"ref": "gnperdue/a-journey-through-titanic", "kernel_id": "38625"}, {"ref": "peterabdou/titanic-learn-from-others", "kernel_id": "132765"}, {"ref": "joyrahman/a-journey-through-titanic", "kernel_id": "100282"}, {"ref": "tiagosgc/isto-um-teste", "kernel_id": "32097"}, {"ref": "leengsmile/notebook5f286c3ece", "kernel_id": "97205"}, {"ref": "leengsmile/what-is-this", "kernel_id": "97206"}, {"ref": "leengsmile/titanic-guided-by-a-confusion-matrix", "kernel_id": "102980"}, {"ref": "kranthisai/notebookccdd236ddb", "kernel_id": "174532"}, {"ref": "tienyang/a-journey-through-titanic", "kernel_id": "86588"}, {"ref": "tienyang/titanic", "kernel_id": "107523"}, {"ref": "tienyang/a-journey-through-titanic-b2e1b837", "kernel_id": "107246"}, {"ref": "redmelon/trial", "kernel_id": "4357"}, {"ref": "ethannguyen/ethan-s-script", "kernel_id": "6877"}, {"ref": "oduvan/notebook36465f353d", "kernel_id": "162406"}, {"ref": "zhenjuan/a-journey-through-titanic", "kernel_id": "91660"}, {"ref": "zhenjuan/titanic-data-exploration", "kernel_id": "87814"}, {"ref": "zhenjuan/learning", "kernel_id": "88167"}, {"ref": "colehpage/test-script-1", "kernel_id": "86006"}, {"ref": "eileencyy/notebookc5b56c9d31", "kernel_id": "205472"}, {"ref": "kartikpadmanabhan/a-journey-through-titanic", "kernel_id": "157713"}, {"ref": "evaxue/first-try", "kernel_id": "5555"}, {"ref": "abhishm/notebook96fa551173", "kernel_id": "224435"}, {"ref": "abhishm/first-try-with-titanic-data", "kernel_id": "224436"}, {"ref": "abhishm/titanic-with-sklearn-pipeline", "kernel_id": "227726"}, {"ref": "daenohuang/taitanic-tut", "kernel_id": "130325"}, {"ref": "alexperrier/randomforest-method", "kernel_id": "7431"}, {"ref": "marksman/exploring-survival-on-the-titanic", "kernel_id": "77931"}, {"ref": "praveen7728/notebooke4366c6561", "kernel_id": "210309"}, {"ref": "millsk/titanic-py", "kernel_id": "53322"}, {"ref": "trsumit/notebook009abf3f08", "kernel_id": "205371"}, {"ref": "sallamdas/notebookf78f12282f", "kernel_id": "231871"}, {"ref": "xfz666/notebook-1c4166073ca3084ac943", "kernel_id": "52463"}, {"ref": "krvperera/a-journey-through-titanic", "kernel_id": "90589"}, {"ref": "knrajago/notebook462be0bfe5", "kernel_id": "233551"}, {"ref": "knrajago/age-vs-survivability", "kernel_id": "233428"}, {"ref": "santoshgundu/exploring-titanic-e74b209f", "kernel_id": "88915"}, {"ref": "nvijayv/testing", "kernel_id": "3294"}, {"ref": "andresmack/titanic-practice", "kernel_id": "78067"}, {"ref": "gmunutmunu/titanic-data-science-solutions", "kernel_id": "193050"}, {"ref": "elephantum/notebook3c94065b62", "kernel_id": "239043"}, {"ref": "celniker/a-journey-through-titanic", "kernel_id": "135173"}, {"ref": "uronce/a-journey-through-titanic", "kernel_id": "198047"}, {"ref": "pagunsun/a-journey-through-titanic", "kernel_id": "184760"}, {"ref": "liu124470/notebooke04f04c83e", "kernel_id": "222064"}, {"ref": "liu124470/notebook897e1129ec", "kernel_id": "222074"}, {"ref": "liu124470/kaggle-the-first-project-titanic", "kernel_id": "204307"}, {"ref": "karthe/notebook8988cf81e7", "kernel_id": "272787"}, {"ref": "anomaly/titanic-data-analysis-and-machine-learning", "kernel_id": "157769"}, {"ref": "slaborde/notebook12a62c39e7", "kernel_id": "118477"}, {"ref": "slaborde/notebook83e3d1a78c", "kernel_id": "119083"}, {"ref": "slaborde/a-journey-through-titanic", "kernel_id": "119155"}, {"ref": "franckjay/a-titanic-of-a-tensorflow", "kernel_id": "216005"}, {"ref": "elsayedmt/test-script", "kernel_id": "269676"}, {"ref": "fightingmethodist/notebook349e023c0c", "kernel_id": "259675"}, {"ref": "scirpus/lb-89-using-gp-with-c", "kernel_id": "23120"}, {"ref": "scirpus/genetic-programming-lb-0-88", "kernel_id": "38553"}, {"ref": "scirpus/my-first-gp-in-r", "kernel_id": "562011"}, {"ref": "manjhunathkr/titanic-trials", "kernel_id": "80794"}, {"ref": "manjhunathkr/notebook-a8127ec3ba93bd671c76", "kernel_id": "80796"}, {"ref": "manjhunathkr/notebook-39a77422e7e7227eb8c9", "kernel_id": "80797"}, {"ref": "manjhunathkr/notebook-ad431a0c821696683fb7", "kernel_id": "80798"}, {"ref": "sadgnome/notebook0afd278e28", "kernel_id": "127148"}, {"ref": "sadgnome/notebookb9d49437cd", "kernel_id": "127156"}, {"ref": "sachinsachdeva/a-journey-through-titanic", "kernel_id": "89768"}, {"ref": "samlaf92/titanic-try", "kernel_id": "258427"}, {"ref": "samlaf92/notebookd67c92044f", "kernel_id": "258436"}, {"ref": "way2edata/exercise-notebook", "kernel_id": "94241"}, {"ref": "franperez/notebook-589cb8925665779f3bb3", "kernel_id": "59329"}, {"ref": "franperez/notebook-4be7ad333422f1e8bcca", "kernel_id": "59331"}, {"ref": "franperez/journal", "kernel_id": "59332"}, {"ref": "ruppesh/notebook3a76233cbd", "kernel_id": "208452"}, {"ref": "santhoshkanna/a-journey-through-titanic", "kernel_id": "107422"}, {"ref": "neoneuro/decision-tree-visualization-submission", "kernel_id": "46837"}, {"ref": "neoneuro/notebook-8424f6850a790c95abee", "kernel_id": "46395"}, {"ref": "blackmagicbox/a-journey-through-titanic-ae2afb50", "kernel_id": "114491"}, {"ref": "blackmagicbox/a-journey-through-titanic", "kernel_id": "114421"}, {"ref": "dhanush/titanic-r", "kernel_id": "21583"}, {"ref": "pwbryant/a-journey-through-titanic", "kernel_id": "136311"}, {"ref": "sekoul/notebook-ba84bcb13dd6d344f31a", "kernel_id": "68637"}, {"ref": "emilkayumov/notebook2597bd3b48", "kernel_id": "276562"}, {"ref": "xiaopingzhao/notebook-7e3c30181922fd5ede8b", "kernel_id": "48429"}, {"ref": "cselefendi/titanic-v2", "kernel_id": "161960"}, {"ref": "hongqi0314/a-journey-through-titanic", "kernel_id": "101490"}, {"ref": "hongqi0314/fork-of-a-journey-through-titanic", "kernel_id": "101494"}, {"ref": "shuimuxixiha/my-random-forest", "kernel_id": "5285"}, {"ref": "tahash/notebook1d4b0d2791", "kernel_id": "221241"}, {"ref": "tahash/notebook1a78617a53", "kernel_id": "220555"}, {"ref": "erolcan/a-journey-through-titanic", "kernel_id": "29110"}, {"ref": "erolcan/notebook-e6a6430327758a9ad89f", "kernel_id": "29363"}, {"ref": "erolcan/notebook-c59f1943c877804b749c", "kernel_id": "29364"}, {"ref": "erolcan/notebook-8f5464e27e7dd047a5aa", "kernel_id": "29365"}, {"ref": "andylin512/1st-try", "kernel_id": "16890"}, {"ref": "lalitm/notebook-e41bfff0fb6ac68fd2f6", "kernel_id": "36853"}, {"ref": "lalitm/notebook-28c3d4274cfb0ea86a75", "kernel_id": "36696"}, {"ref": "lalitm/xgboost-test", "kernel_id": "36693"}, {"ref": "lalitm/notebook-7434f5c87afd605e8dfb", "kernel_id": "36690"}, {"ref": "xchen1989/notebook2c224bd9a7", "kernel_id": "180838"}, {"ref": "darksidehascookies/installed-python-packages", "kernel_id": "3246"}, {"ref": "ivanl1/notebook-50f68fba76a0cd232d70", "kernel_id": "24163"}, {"ref": "leemithun/titanic", "kernel_id": "238196"}, {"ref": "realshijjang/tensorflow-binary-classification-with-sigmoid", "kernel_id": "691161"}, {"ref": "vuppala/a-journey-through-titanic", "kernel_id": "104094"}, {"ref": "speedoheck/kaggle-titanic-001", "kernel_id": "22516"}, {"ref": "sbenhamou/test-script", "kernel_id": "22680"}, {"ref": "kallin/notebookfbc73a12c2", "kernel_id": "203938"}, {"ref": "kallin/first-script", "kernel_id": "203945"}, {"ref": "thiagomatos/a-journey-through-titanic", "kernel_id": "181529"}, {"ref": "nikitag/notebook-cfa34ab36d14f1b002d5", "kernel_id": "23082"}, {"ref": "nikitag/notebook-aa3772955d9b390a2426", "kernel_id": "23083"}, {"ref": "neheckman/a-journey-through-titanic-5f4b6a", "kernel_id": "192381"}, {"ref": "neheckman/a-journey-through-titanic", "kernel_id": "187384"}, {"ref": "jiakunli/notebookb590c96c89", "kernel_id": "111907"}, {"ref": "jiakunli/model", "kernel_id": "111891"}, {"ref": "eminik/notebook-04ddba47b608994a52cc", "kernel_id": "64688"}, {"ref": "crisanais/rf-featuresel", "kernel_id": "9949"}, {"ref": "xiaoxixie/notebook-23787a77a1c06e0c8a90", "kernel_id": "39001"}, {"ref": "idgetto/notebook-bb24082428ad28c1b985", "kernel_id": "36516"}, {"ref": "idgetto/notebook-8d07147896033f6bbd63", "kernel_id": "36517"}, {"ref": "utah12005/titanic-guided-by-a-confusion-matrix", "kernel_id": "119846"}, {"ref": "sheenammittal/a-journey-through-titanic", "kernel_id": "104656"}, {"ref": "sheenammittal/an-interactive-data-science-tutorial", "kernel_id": "183706"}, {"ref": "akhan114/notebook2f2ac3010c", "kernel_id": "244960"}, {"ref": "andraspalfi/a-journey-through-titanic", "kernel_id": "104946"}, {"ref": "andraspalfi/a-journey-through-titanic-1399ac", "kernel_id": "194282"}, {"ref": "andraspalfi/a-journey-through-titanic-77d878", "kernel_id": "194223"}, {"ref": "ballbear13/titanic-analysis-lee-baring", "kernel_id": "265926"}, {"ref": "ballbear13/titanic-data-science-solutions", "kernel_id": "231741"}, {"ref": "nico33/scikit-learn-ml-from-start-to-finish", "kernel_id": "274510"}, {"ref": "nico33/titanic-data-science-solutions", "kernel_id": "274526"}, {"ref": "tperenboom/a-journey-through-titanic", "kernel_id": "106568"}, {"ref": "bahramimaryam/deal-with-missing-values-in-cabin-featur", "kernel_id": "36494"}, {"ref": "gogocatmario/notebooke21f6982e8", "kernel_id": "212883"}, {"ref": "debnomics/titanic-first-randomforest", "kernel_id": "102175"}, {"ref": "selva743/notebook582455a93c", "kernel_id": "100907"}, {"ref": "sandyscience/notebook8594ed5dd0", "kernel_id": "103442"}, {"ref": "udaychettiar/notebookb40339774a", "kernel_id": "204098"}, {"ref": "savvidis/titanic-example", "kernel_id": "260584"}, {"ref": "cristiano/a-journey-through-titanic", "kernel_id": "74690"}, {"ref": "arthas/notebook8aee1eb09b", "kernel_id": "119706"}, {"ref": "berwin/installed-python-packages2", "kernel_id": "107984"}, {"ref": "berwin/installed-python-packages3", "kernel_id": "107987"}, {"ref": "berwin/a-journey-through-titanic", "kernel_id": "93134"}, {"ref": "dannyfriar93/titanic-script", "kernel_id": "28668"}, {"ref": "edobrien/a-journey-through-titanic", "kernel_id": "33546"}, {"ref": "edobrien/testing", "kernel_id": "34140"}, {"ref": "edobrien/edeo-pandas-ti", "kernel_id": "34137"}, {"ref": "edobrien/notebook-7a87aafe6ba69718eb4f", "kernel_id": "34138"}, {"ref": "edobrien/practice-ml", "kernel_id": "81936"}, {"ref": "edobrien/notebook409ea660f1", "kernel_id": "172008"}, {"ref": "edobrien/titanic-try-r", "kernel_id": "172010"}, {"ref": "karolis/titanic-survival-data-analysis", "kernel_id": "107123"}, {"ref": "karolis/notebook515bfaa1e9", "kernel_id": "107198"}, {"ref": "karolis/notebooka29f52382b", "kernel_id": "107199"}, {"ref": "airwindh/notebook0cce8de2b1", "kernel_id": "279802"}, {"ref": "airwindh/notebookbaf0daecad", "kernel_id": "279776"}, {"ref": "airwindh/my-first-attempt", "kernel_id": "280727"}, {"ref": "yangxiao/notebook-d01a1927e4421603d612", "kernel_id": "30335"}, {"ref": "dkomlev/disaster-explore", "kernel_id": "213500"}, {"ref": "edwardchor/titanic", "kernel_id": "124706"}, {"ref": "javkhlanochir/titanic-test", "kernel_id": "106565"}, {"ref": "tysonni/extracting-passenger-titiles-in-r", "kernel_id": "14474"}, {"ref": "manasi/titanice-logistic-regression-v1", "kernel_id": "36861"}, {"ref": "malais/kaggle-first-ipythonnotebook", "kernel_id": "22224"}, {"ref": "malais/notebook-ffce0fb89dc874af026c", "kernel_id": "41316"}, {"ref": "bobminnich/a-journey-through-titanic", "kernel_id": "184603"}, {"ref": "xwan010/notebook-f741c2a9b8b662ce035b", "kernel_id": "51111"}, {"ref": "silpara/randomforest-method", "kernel_id": "16516"}, {"ref": "liirusik/notebook4b9cf87741", "kernel_id": "248323"}, {"ref": "rezamahani/a-journey-through-titanic-hi", "kernel_id": "107593"}, {"ref": "therealtolo/a-journey-through-titanic", "kernel_id": "101493"}, {"ref": "hiro106/a-journey-through-titanic", "kernel_id": "166093"}, {"ref": "hiro106/a-journey-through-titanic-dc2d4b01", "kernel_id": "166099"}, {"ref": "nsabbour/a-journey-through-titanic", "kernel_id": "99655"}, {"ref": "nsabbour/a-journey-through-titanic-e3d2e860", "kernel_id": "99663"}, {"ref": "nsabbour/a-journey-through-titanic-cf7126ca", "kernel_id": "117071"}, {"ref": "forainychen/notebook-6beec46a11fed55639aa", "kernel_id": "47819"}, {"ref": "forainychen/testsc", "kernel_id": "47820"}, {"ref": "lakcodes/testing", "kernel_id": "223497"}, {"ref": "lakcodes/notebook6b3e7c7f4b", "kernel_id": "223498"}, {"ref": "sylvainbourrat/random-forest-benchmark-r", "kernel_id": "30732"}, {"ref": "sylvainbourrat/notebook-e697719c8dd8e77dc5ef", "kernel_id": "30733"}, {"ref": "sylvainbourrat/notebook-42571c8c4398e9838ab7", "kernel_id": "30734"}, {"ref": "mcallaghan/notebooka5c827d94a", "kernel_id": "103244"}, {"ref": "mcallaghan/notebook68893d9d10", "kernel_id": "96879"}, {"ref": "anaerobeth/notebook011b3fe1e4", "kernel_id": "164617"}, {"ref": "yajasd/notebook7b5bdf3916", "kernel_id": "192675"}, {"ref": "yajasd/notebookf42cdd1644", "kernel_id": "192657"}, {"ref": "kartheekpnsn/r-end-to-end-survival-analysis", "kernel_id": "729896"}, {"ref": "vinaysingh25/introduction-to-ensembling-stacking-in-python", "kernel_id": "188548"}, {"ref": "bzerroug/notebook-c5ce833e2940531f84a8", "kernel_id": "76895"}, {"ref": "psakuru/notebookaa38ebfa61", "kernel_id": "260121"}, {"ref": "michaelclifford/notebook3fda39f8e9", "kernel_id": "219875"}, {"ref": "varshitdusad/titanic-save-machine-learning-tutorial", "kernel_id": "972663"}, {"ref": "nagato/demo-1", "kernel_id": "514"}, {"ref": "moshe157/notebook-88b8fe16c6314eb648c0", "kernel_id": "22137"}, {"ref": "moshe157/notebook-35894c25ddc69ad82b64", "kernel_id": "22138"}, {"ref": "moshe157/asdasdasd", "kernel_id": "22139"}, {"ref": "ajbattan/notebook09780b522f", "kernel_id": "219902"}, {"ref": "ajbattan/hello-world", "kernel_id": "219905"}, {"ref": "codedump/test111", "kernel_id": "26479"}, {"ref": "codedump/mytitaic", "kernel_id": "26480"}, {"ref": "aniketshukla/notebook-f38762d844126b32a382", "kernel_id": "57973"}, {"ref": "ckruger/titanic-logistic-regression", "kernel_id": "88072"}, {"ref": "ckruger/notebook6e9fe03e23", "kernel_id": "88068"}, {"ref": "junlinw/ai-group-meeting", "kernel_id": "579100"}, {"ref": "junlinw/ai-group-meeting-week7", "kernel_id": "676597"}, {"ref": "junlinw/ai-group-meeting-week9", "kernel_id": "677134"}, {"ref": "junlinw/ai-group-meeting-hand-code", "kernel_id": "673414"}, {"ref": "navneethc/notebook-2602bbc1a4978bb3b3fe", "kernel_id": "35188"}, {"ref": "itcheeban/decision-tree-visualization-submission", "kernel_id": "10556"}, {"ref": "markopuza/notebook98ec26a241", "kernel_id": "124263"}, {"ref": "ralphlozano/notebook642bb8bd12", "kernel_id": "202043"}, {"ref": "annavictoria/notebook9881d80181", "kernel_id": "172053"}, {"ref": "annavictoria/notebookef887ff001", "kernel_id": "172054"}, {"ref": "annavictoria/notebook3286db3a40", "kernel_id": "137905"}, {"ref": "vipulrai/titanic-survival", "kernel_id": "445344"}, {"ref": "andreasthomik/a-journey-through-titanic", "kernel_id": "141974"}, {"ref": "mrxair/a-journey-through-titanic", "kernel_id": "114648"}, {"ref": "ilievski/a-journey-through-titanic", "kernel_id": "137115"}, {"ref": "alejandrozf/try-titanic-problem", "kernel_id": "251673"}, {"ref": "manvindra/titanic-predict-survival-first-kernel", "kernel_id": "363451"}, {"ref": "tomspikeandhenry/randomforestmodel", "kernel_id": "29421"}, {"ref": "tomspikeandhenry/notebook-870689ce704da8278cef", "kernel_id": "29422"}, {"ref": "duesentrieb/kaggle-titanic-001", "kernel_id": "27089"}, {"ref": "mibmiranda/titanic-disaster-a-genetic-algorithm-approach", "kernel_id": "255679"}, {"ref": "gregeuhar0/a-journey-through-titanic-gregeuhar", "kernel_id": "369098"}, {"ref": "tweelah/notebook-29d007d600ffde1c1281", "kernel_id": "20381"}, {"ref": "tweelah/titanic", "kernel_id": "20382"}, {"ref": "tweelah/notebook-24787c710c162239937c", "kernel_id": "20383"}, {"ref": "aknvictor/titanic-rf", "kernel_id": "136945"}, {"ref": "solivier/adfdfad", "kernel_id": "34624"}, {"ref": "solivier/notebook-101d360167506a73261c", "kernel_id": "34625"}, {"ref": "vharissh14/notebook-5dd4e6207a1ae0d9bb1d", "kernel_id": "44557"}, {"ref": "vharissh14/titanic-12", "kernel_id": "44565"}, {"ref": "vharissh14/titanic-machine-learning-from-disaster", "kernel_id": "347591"}, {"ref": "ixique/exploratory-tutorial-titanic", "kernel_id": "104698"}, {"ref": "hinwongman/notebook-ca67257e16a51f440f59", "kernel_id": "78436"}, {"ref": "hinwongman/titanic-test-kernel", "kernel_id": "78420"}, {"ref": "hinwongman/notebook-946c2c83e3d17a17f7d5", "kernel_id": "78253"}, {"ref": "hinwongman/notebook-809a5adb3235ce245948", "kernel_id": "78388"}, {"ref": "maddula/python-seaborn-pairplot-example", "kernel_id": "4451"}, {"ref": "maddula/study-of-tree-and-forest-algorithms", "kernel_id": "65228"}, {"ref": "maddula/fork-study-of-tree-and-forest-algorithms", "kernel_id": "65229"}, {"ref": "ericawh/titanic-data-decision-tree-storage-in-python", "kernel_id": "416507"}, {"ref": "wyhgood123/hahadd", "kernel_id": "18635"}, {"ref": "ilutiu/notebook97876d0a85", "kernel_id": "233027"}, {"ref": "hamzafar/titanic-random-forest-82-78", "kernel_id": "205680"}, {"ref": "kishoretrk/notebook88f98f8d1c", "kernel_id": "252372"}, {"ref": "joseadiazg02/descriptive-statistics-and-exploratory-analysis", "kernel_id": "157486"}, {"ref": "rbhadra/titanic-data-science-solutions", "kernel_id": "196657"}, {"ref": "chrissparshott/a-journey-through-titanic", "kernel_id": "137880"}, {"ref": "cemileserce/titanic", "kernel_id": "37729"}, {"ref": "cemileserce/titanicr1", "kernel_id": "37754"}, {"ref": "johnson1991/test-py", "kernel_id": "106862"}, {"ref": "ryanchae/notebook-4f9bfb63fd9ad91690fa", "kernel_id": "55365"}, {"ref": "kamendula/a-journey-through-titanic", "kernel_id": "86457"}, {"ref": "kaggleurl/notebook73dbbc8ce8", "kernel_id": "270893"}, {"ref": "kaggleurl/notebooka58bdbb41e", "kernel_id": "246522"}, {"ref": "neerajbhukania/notebook0f21c3d918", "kernel_id": "102276"}, {"ref": "samppan/notebook23edaa8a21", "kernel_id": "115461"}, {"ref": "samppan/first-script", "kernel_id": "115463"}, {"ref": "ryutek/randomforest-cforest-method", "kernel_id": "37007"}, {"ref": "hanjun/test-script", "kernel_id": "20637"}, {"ref": "sento82/random-forest-with-dummy-bariables", "kernel_id": "21531"}, {"ref": "sento82/randomforest-01", "kernel_id": "21497"}, {"ref": "sento82/decision-tree", "kernel_id": "21573"}, {"ref": "sento82/svm-01", "kernel_id": "21561"}, {"ref": "sento82/random-forest-02", "kernel_id": "21769"}, {"ref": "priyankagarg/titanic-practice-with-random-forest", "kernel_id": "510514"}, {"ref": "theodoreju/notebook00897bebe8", "kernel_id": "222104"}, {"ref": "datadrb/notebook734ff17604", "kernel_id": "118065"}, {"ref": "isnehal/notebook07c9103558", "kernel_id": "121341"}, {"ref": "okaken/notebook-6b6b0a2deb8785692427", "kernel_id": "30986"}, {"ref": "okaken/notebook-abab7c7c90ed500c0db5", "kernel_id": "30987"}, {"ref": "okaken/notebook-9d6fd89adf8617bfa292", "kernel_id": "31006"}, {"ref": "okaken/notebook-b75ac1774ca852ad1482", "kernel_id": "31007"}, {"ref": "okaken/notebook-a21e0ad501927871fa86", "kernel_id": "31008"}, {"ref": "karteeksai/data-science-new", "kernel_id": "211783"}, {"ref": "karthikeyan85/titanic-prediction-using-gbm", "kernel_id": "196068"}, {"ref": "hyg1985/notebook-7b40814a08b3e7d2b016", "kernel_id": "78414"}, {"ref": "hyg1985/jkfdjsklfjsd", "kernel_id": "78415"}, {"ref": "kingmbc/notebookb7ec826b43", "kernel_id": "90753"}, {"ref": "janeite/a-journey-through-titanic", "kernel_id": "29557"}, {"ref": "rtre84/a-journey-through-titanic-forked", "kernel_id": "118051"}, {"ref": "leogump/notebook1794ce7390", "kernel_id": "114258"}, {"ref": "cbillman/notebookd1a7e0d1cd", "kernel_id": "172338"}, {"ref": "wislish/a-journey-through-titanic", "kernel_id": "92770"}, {"ref": "ezhilvelme/practice", "kernel_id": "172515"}, {"ref": "ezhilvelme/titanic-neural-network-c-4-2", "kernel_id": "169780"}, {"ref": "ezhilvelme/titanic-keras", "kernel_id": "173980"}, {"ref": "thakurjitu/a-journey-through-titanic", "kernel_id": "97585"}, {"ref": "yhuangy/notebook4c1e8909a0", "kernel_id": "204890"}, {"ref": "dbr522/0922test-titanic", "kernel_id": "98956"}, {"ref": "dbr522/0927titanictest", "kernel_id": "100059"}, {"ref": "gamency/a-journey-through-titanic", "kernel_id": "107149"}, {"ref": "gamency/a-journey-through-titanic-7ed0a8ca", "kernel_id": "115951"}, {"ref": "chapagain/titanic-solution-a-beginner-s-guide", "kernel_id": "350870"}, {"ref": "ruifengzheng/notebook81e0c18423", "kernel_id": "94854"}, {"ref": "ppetrov/introduction-to-ensembling-stacking-in-python", "kernel_id": "202515"}, {"ref": "denniskaggle/notebook-3763e7e078e96dd83127", "kernel_id": "77354"}, {"ref": "littlebuzzybee/explore-titanic-data", "kernel_id": "191074"}, {"ref": "rmisra/random-forest-model", "kernel_id": "169808"}, {"ref": "rmisra/logistic-regression", "kernel_id": "169584"}, {"ref": "rmisra/svm-model", "kernel_id": "170448"}, {"ref": "tonylau/a-journey-through-titanic", "kernel_id": "93103"}, {"ref": "tonylau/learn-from-titanic", "kernel_id": "92081"}, {"ref": "tonylau/notebook426f2797ef", "kernel_id": "92079"}, {"ref": "yqyang/notebookd776cb5a0a", "kernel_id": "204874"}, {"ref": "yqyang/notebookf66d9cd902", "kernel_id": "200516"}, {"ref": "saugatoghosh/saugatatitanic", "kernel_id": "24514"}, {"ref": "akhileshsk/notebookf6759fb2f4", "kernel_id": "137445"}, {"ref": "akhileshsk/notebook19f90fcb1e", "kernel_id": "137453"}, {"ref": "brunhilde/notebookdf9a7f4da7", "kernel_id": "125842"}, {"ref": "ravidatascience/a-journey-through-titanic", "kernel_id": "91186"}, {"ref": "jasminelily/cabin-position-may-affect-survival", "kernel_id": "6087"}, {"ref": "fertueros/could-the-titanic-have-been-saved", "kernel_id": "135247"}, {"ref": "fertueros/exploring-survival-on-the-titanic", "kernel_id": "148546"}, {"ref": "zeearend/kaggle-titanic-001", "kernel_id": "22436"}, {"ref": "zeearend/notebook-bbac81e0d73c4d4b85a1", "kernel_id": "22437"}, {"ref": "zeearend/notebook-de8b39df42d48b6cf82a", "kernel_id": "22439"}, {"ref": "xounox/titanic", "kernel_id": "7634"}, {"ref": "raghavendra990/notebook-3b193fd15d37212fc94d", "kernel_id": "22945"}, {"ref": "morganm/notebook-d9592efc8728c913e800", "kernel_id": "35064"}, {"ref": "yifanma/notebooka645fe1fa9", "kernel_id": "180593"}, {"ref": "kumaresanmanickavelu/titanic-machine-learning-with-keras", "kernel_id": "691531"}, {"ref": "deanrobertcook/notebookc90e0752f9", "kernel_id": "145520"}, {"ref": "countryboy/titanic-on-the-rocks-with-a-lime", "kernel_id": "379168"}, {"ref": "pankant/notebookce07745ef6", "kernel_id": "228009"}, {"ref": "pankant/notebooke7dcfb2fcd", "kernel_id": "228012"}, {"ref": "pankant/titanic", "kernel_id": "230691"}, {"ref": "pankant/notebook95ffbb5100", "kernel_id": "231437"}, {"ref": "sadhi009/notebook-1f7e353404c7dc877339", "kernel_id": "23878"}, {"ref": "catherineang89/lb-0-813-top-3-2-level-model", "kernel_id": "333332"}, {"ref": "catherineang89/basic-visualization", "kernel_id": "331319"}, {"ref": "catherineang89/random-forest-with-cv", "kernel_id": "331185"}, {"ref": "mohamedwafa/tutorial-part-1-naive-gender-prediction", "kernel_id": "5349"}, {"ref": "nataliasmirnova/first-step", "kernel_id": "10751"}, {"ref": "dlcarey88/notebook611730a274", "kernel_id": "93524"}, {"ref": "dhruvkapur91/notebook5adedbdc4e", "kernel_id": "101823"}, {"ref": "hekkon/testing", "kernel_id": "12049"}, {"ref": "vigneshk/vignesh-trail", "kernel_id": "252316"}, {"ref": "karupps/notebookb373f7a8b1", "kernel_id": "229436"}, {"ref": "drorata/notebookfd89fd962e", "kernel_id": "178817"}, {"ref": "crisbio89/notebook410e9012d9", "kernel_id": "204478"}, {"ref": "bergie/titanic-1", "kernel_id": "34994"}, {"ref": "nitinpasumarthy/decision-tree-based-solution", "kernel_id": "468116"}, {"ref": "azriobr/titanic-dataset-my-first-basic-approach", "kernel_id": "737908"}, {"ref": "deoppressoliber/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "163850"}, {"ref": "ywenlu/notebook1de90aef3f", "kernel_id": "157663"}, {"ref": "ywenlu/notebook8e2ac2ddaf", "kernel_id": "156867"}, {"ref": "ywenlu/titanic-data-science-solutions", "kernel_id": "156878"}, {"ref": "ywenlu/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "156553"}, {"ref": "wenqingfu/a-journey-through-titanic", "kernel_id": "169034"}, {"ref": "joashc/abcde", "kernel_id": "81198"}, {"ref": "kcmbonu/decision-tree-visualization-submission", "kernel_id": "153819"}, {"ref": "kcmbonu/notebook8dc169f068", "kernel_id": "153781"}, {"ref": "luki16/introduction-to-decision-trees-titanic-dataset", "kernel_id": "204406"}, {"ref": "philipjhj/titantic-first-script", "kernel_id": "31866"}, {"ref": "chadestep/notebook97995a073b", "kernel_id": "216156"}, {"ref": "allenjian/test1", "kernel_id": "15322"}, {"ref": "lhlxyjly/a-journey-through-titanic", "kernel_id": "95068"}, {"ref": "arnaudlievin/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "160330"}, {"ref": "justfor/just-playing-with-the-titanic", "kernel_id": "88583"}, {"ref": "venkat2036/a-journey-through-titanic", "kernel_id": "155305"}, {"ref": "iezepov/my-random-forest", "kernel_id": "5669"}, {"ref": "wkuzhpkb/notebook9fab9780ea", "kernel_id": "254545"}, {"ref": "francksylla/teet1", "kernel_id": "29251"}, {"ref": "francksylla/notebook-85399493fddff6390a7b", "kernel_id": "29237"}, {"ref": "francksylla/test01", "kernel_id": "29238"}, {"ref": "francksylla/titanic-machine-learning-from-disaster", "kernel_id": "80421"}, {"ref": "francksylla/roy-s-titanic-notebook", "kernel_id": "137734"}, {"ref": "francksylla/r-titanic-machine-learning-from-disaster", "kernel_id": "146767"}, {"ref": "geethik/temprrr", "kernel_id": "30844"}, {"ref": "wvandoesburg/notebook-6de9ae56082dd8d71f5d", "kernel_id": "64373"}, {"ref": "prateekkolhar/a-journey-through-titanic", "kernel_id": "93206"}, {"ref": "amirtasbihi/a-journey-through-titanic", "kernel_id": "139286"}, {"ref": "arung80/a-journey-through-titanic", "kernel_id": "163215"}, {"ref": "cdeanj/exploring-survival-on-the-titanic", "kernel_id": "243566"}, {"ref": "yuenshome/notebook-f3f1450af024467aaf3b", "kernel_id": "30826"}, {"ref": "tinytot/notebook30cd38bc3f", "kernel_id": "109048"}, {"ref": "poonaml/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "145170"}, {"ref": "shubhamagrawal/notebook17c002656e", "kernel_id": "132452"}, {"ref": "gkjegan/titanic-survival-2", "kernel_id": "346810"}, {"ref": "vickianand/a-journey-through-titanic", "kernel_id": "235887"}, {"ref": "albertliu/first-try", "kernel_id": "189738"}, {"ref": "albertliu/exploring-survival-on-the-titanic", "kernel_id": "187661"}, {"ref": "albertliu/notebook6ad1d150be", "kernel_id": "187655"}, {"ref": "albertliu/titanic-random-forest-79", "kernel_id": "187664"}, {"ref": "albertliu/titanic-data-science-solutions", "kernel_id": "188571"}, {"ref": "albertliu/titanic-predict", "kernel_id": "188572"}, {"ref": "kshitijtayal/first-submission", "kernel_id": "28187"}, {"ref": "kshitijtayal/notebook-a95caadf379e0b77f745", "kernel_id": "28218"}, {"ref": "kshitijtayal/titanic-competition", "kernel_id": "28055"}, {"ref": "simonstolz/logistic-regression", "kernel_id": "32491"}, {"ref": "victorchenli/using-logistic-svm-and-tensorflow-to-explore", "kernel_id": "361683"}, {"ref": "joshualee/notebookf131a35f70", "kernel_id": "144996"}, {"ref": "huzefabw/a-journey-through-titanic", "kernel_id": "150189"}, {"ref": "axelderomblay/running-mlbox-auto-ml-package-on-titanic", "kernel_id": "321272"}, {"ref": "axelderomblay/notebookdfd0cb13c0", "kernel_id": "321215"}, {"ref": "alphadiallo/notebook08caa0716c", "kernel_id": "95472"}, {"ref": "lrodlima/first", "kernel_id": "159567"}, {"ref": "cariaads15/notebook8f7d87639f", "kernel_id": "110078"}, {"ref": "odinvanguard/notebook-5fb4b910371913f72248", "kernel_id": "52449"}, {"ref": "odinvanguard/gender-age-class-model-r", "kernel_id": "52450"}, {"ref": "billwang/a-journey-through-titanic-f9300eef", "kernel_id": "142747"}, {"ref": "billwang/a-journey-through-titanic-e67764ed", "kernel_id": "167683"}, {"ref": "mikikobazeley/notebookc997694dd9", "kernel_id": "245103"}, {"ref": "shahvicky1992/titanic-data-science-solutions", "kernel_id": "238789"}, {"ref": "htomov/introduction-to-ensembling-stacking-in-python", "kernel_id": "318707"}, {"ref": "htomov/notebook419830e054", "kernel_id": "104917"}, {"ref": "mateuszklimek/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "153266"}, {"ref": "patrickguan/titanic1", "kernel_id": "1327"}, {"ref": "yayson/notebook6d9c95b902", "kernel_id": "134223"}, {"ref": "trialanderror/notebook0a07dcc943", "kernel_id": "278609"}, {"ref": "hwilliams/titanic-r", "kernel_id": "38166"}, {"ref": "ankitpac/notebook764fb3c165", "kernel_id": "238430"}, {"ref": "murphy89/a-journey-through-titanic", "kernel_id": "79885"}, {"ref": "murphy89/notebook-7eb9e53b51375b36ea26", "kernel_id": "79886"}, {"ref": "murphy89/notebook-9d9564d1b22bd18fd713", "kernel_id": "79888"}, {"ref": "murphy89/study-of-tree-and-forest-algorithms", "kernel_id": "79889"}, {"ref": "murphy89/notebook-36d7d89839597e552bfd", "kernel_id": "79892"}, {"ref": "murphy89/notebook-7d78702287fa3599f5de", "kernel_id": "79893"}, {"ref": "murphy89/notebook-05c3ff333eadac17b3c8", "kernel_id": "79894"}, {"ref": "murphy89/kaggle-titanic-001", "kernel_id": "81696"}, {"ref": "murphy89/notebook-411897bcca1149d7e81e", "kernel_id": "81698"}, {"ref": "murphy89/testsample1", "kernel_id": "81699"}, {"ref": "murphy89/notebook-7fc4f0262bc8d44b34b9", "kernel_id": "80231"}, {"ref": "murphy89/notebook-a0eb63bd3d6af25d2e20", "kernel_id": "80232"}, {"ref": "murphy89/notebook-1bf03ceb9b75186fda33", "kernel_id": "80233"}, {"ref": "murphy89/notebook-0548008c290cf644e442", "kernel_id": "80234"}, {"ref": "murphy89/notebook-b9f27ebf362a3c4f3737", "kernel_id": "80237"}, {"ref": "murphy89/notebook-d9a3a96da66dcf675e2f", "kernel_id": "80163"}, {"ref": "murphy89/notebook-3df18af371d1963ea21d", "kernel_id": "80164"}, {"ref": "murphy89/gggggg", "kernel_id": "80134"}, {"ref": "murphy89/notebook-17fd6f8af8cbffc5774c", "kernel_id": "80137"}, {"ref": "murphy89/notebook-310a0c434f463a653a26", "kernel_id": "80138"}, {"ref": "murphy89/ggggg", "kernel_id": "80139"}, {"ref": "murphy89/notebook-0299e5a9a749c00d9a58", "kernel_id": "80140"}, {"ref": "murphy89/testest2", "kernel_id": "80153"}, {"ref": "murphy89/notebook-f04aba4654835f90a864", "kernel_id": "80154"}, {"ref": "murphy89/notebook-681fa5483762aae84d8d", "kernel_id": "80155"}, {"ref": "murphy89/test22", "kernel_id": "80156"}, {"ref": "murphy89/notebook-e293a44aa0cea74918c1", "kernel_id": "80157"}, {"ref": "murphy89/notebook-5735f114ceec7aa9b5fe", "kernel_id": "80158"}, {"ref": "murphy89/notebook-6db58c223b8de6e670b7", "kernel_id": "80159"}, {"ref": "murphy89/notebook-3cc39b8cb1e89e5a487d", "kernel_id": "80160"}, {"ref": "murphy89/notebook-d4c6e2315b3e031ffb6a", "kernel_id": "80161"}, {"ref": "murphy89/notebook-c095182f8cd70b62dd81", "kernel_id": "80737"}, {"ref": "murphy89/a-journey-through-titanic-6901264d", "kernel_id": "100833"}, {"ref": "murphy89/study-of-tree-and-forest-algorithms-27399814", "kernel_id": "99378"}, {"ref": "murphy89/a-journey-through-titanic-2c61501e", "kernel_id": "97522"}, {"ref": "murphy89/divide-and-conquer-0-82297", "kernel_id": "277404"}, {"ref": "rcolomina/random-forest-approach-for-titanic-disaster", "kernel_id": "751406"}, {"ref": "jackklpan/notebook6052c28eb4", "kernel_id": "169656"}, {"ref": "jackklpan/titanic-1", "kernel_id": "173268"}, {"ref": "jackklpan/titanic-machine-learning-from-disaster", "kernel_id": "173420"}, {"ref": "iliasmir/notebook1bfbbbe264", "kernel_id": "256880"}, {"ref": "gkjohns/notebookbc1de01b4c", "kernel_id": "231075"}, {"ref": "gkjohns/notebook2d7d05a044", "kernel_id": "231076"}, {"ref": "ronaksvyas/notebook2a87d746fb", "kernel_id": "203679"}, {"ref": "ronaksvyas/notebooke30194cbe7", "kernel_id": "203668"}, {"ref": "ronaksvyas/notebookf2a6254599", "kernel_id": "203669"}, {"ref": "milian/notebook60994f9df0", "kernel_id": "120602"}, {"ref": "milian/a-journey-through-titanic", "kernel_id": "118666"}, {"ref": "rahulanandtalk/a-journey-through-titanic-0543ee7d", "kernel_id": "129232"}, {"ref": "rahulanandtalk/a-journey-through-titanic", "kernel_id": "128618"}, {"ref": "inyxia/notebook-ef5bf1c530c8c7a02435", "kernel_id": "38750"}, {"ref": "siddpatny/notebook61cbcd6139", "kernel_id": "214048"}, {"ref": "jmosko/a-journey-through-titanic", "kernel_id": "94204"}, {"ref": "aaronsmith/notebook7a4da78a2c", "kernel_id": "89861"}, {"ref": "nirumand/random-forest-benchmark-r", "kernel_id": "20362"}, {"ref": "hardike/notebookf0ab6ad190", "kernel_id": "225314"}, {"ref": "bhavinshah/test1", "kernel_id": "94727"}, {"ref": "hyunjae/notebook9320bac986", "kernel_id": "142196"}, {"ref": "hyunjae/notebook355232db2e", "kernel_id": "140293"}, {"ref": "dharmesh93/dhama", "kernel_id": "106801"}, {"ref": "nealbouwman/rf-based-on-existing-kernel", "kernel_id": "89217"}, {"ref": "mira5b/exploring-survival-on-the-titanic", "kernel_id": "110470"}, {"ref": "missingdays/a-journey-through-titanic", "kernel_id": "91050"}, {"ref": "matteby/notebook0809e69694", "kernel_id": "236820"}, {"ref": "yuebanguo/first-try", "kernel_id": "162211"}, {"ref": "yuebanguo/genetic-programming-lb-0-88", "kernel_id": "156100"}, {"ref": "murphy93/notebook-ab3bfb70683f20b65ba6", "kernel_id": "53308"}, {"ref": "nalhajri/first-code", "kernel_id": "248269"}, {"ref": "sugeerth/a-journey-through-titanic", "kernel_id": "86442"}, {"ref": "veereshgb/a-journey-through-titanic", "kernel_id": "115025"}, {"ref": "ozgur33/notebookaf819a8ea0", "kernel_id": "237661"}, {"ref": "mp1118/testing", "kernel_id": "1268"}, {"ref": "nhejazi7/notebook-694c67aa4fa21610bb98", "kernel_id": "31163"}, {"ref": "lkroloff/notebook24b0684812", "kernel_id": "231104"}, {"ref": "lkroloff/notebook3fb7c076a8", "kernel_id": "231118"}, {"ref": "shubsja/working-w-varun", "kernel_id": "94183"}, {"ref": "liangzhou/notebook-9f1d0aacab721c069dd2", "kernel_id": "62758"}, {"ref": "esmeetu/kaggle-titanic-001", "kernel_id": "32057"}, {"ref": "esmeetu/notebook-a8e6486ba3e57f114d1d", "kernel_id": "32058"}, {"ref": "esmeetu/notebook-42ba738114640556e882", "kernel_id": "32059"}, {"ref": "fangzhoulee/notebook-d7c906c69d6051b60ae7", "kernel_id": "26400"}, {"ref": "fangzhoulee/notebook-a3f773c4ee0bd74c3401", "kernel_id": "26401"}, {"ref": "fangzhoulee/failedpca", "kernel_id": "26402"}, {"ref": "murphyc/notebookb0fda0b70e", "kernel_id": "275479"}, {"ref": "aksmit94/notebookfbe0c68786", "kernel_id": "170990"}, {"ref": "manishranjan0805/studying-titanic-data-and-creating-features", "kernel_id": "176076"}, {"ref": "garywang/notebook837babe4de", "kernel_id": "97733"}, {"ref": "hoguejm/test-run", "kernel_id": "5557"}, {"ref": "sinafamouri/titanic-test", "kernel_id": "13042"}, {"ref": "vishaljindal0/titanic-r-code", "kernel_id": "925147"}, {"ref": "scollins/notebook-c8fd17f2c1d98d416a5d", "kernel_id": "28814"}, {"ref": "julia0222/notebook-cf5ecbdb259f12c078ce", "kernel_id": "75198"}, {"ref": "ghutty/notebook-74069af37118938d2a08", "kernel_id": "37711"}, {"ref": "hulisi/notebook-dfc2caf8b13b570006d0", "kernel_id": "39028"}, {"ref": "hulisi/amber", "kernel_id": "39030"}, {"ref": "jletteboer/first-prediction-all-female-survived", "kernel_id": "141369"}, {"ref": "jletteboer/predict-survivals-with-random-forest", "kernel_id": "143000"}, {"ref": "karlkonz/exploring-the-titanic-dataset-with-r", "kernel_id": "215703"}, {"ref": "astromis/notebook-f707e0561e0acf6de510", "kernel_id": "23113"}, {"ref": "astromis/notebook-ec2487b6bc297413d6c8", "kernel_id": "23129"}, {"ref": "astromis/python-test", "kernel_id": "23131"}, {"ref": "astromis/notebook-4ae45dfb8fe7d3442334", "kernel_id": "23157"}, {"ref": "astromis/titanic-practice", "kernel_id": "23094"}, {"ref": "mtjandra/testing", "kernel_id": "26705"}, {"ref": "dmatekenya/titanic-visualization", "kernel_id": "43826"}, {"ref": "dmatekenya/notebook-39443189ecde35c7191b", "kernel_id": "46528"}, {"ref": "wangchi/ttttt", "kernel_id": "22650"}, {"ref": "rafaelgcpp/notebook581f48dcac", "kernel_id": "212597"}, {"ref": "adityaganjoo1991/test-script", "kernel_id": "10990"}, {"ref": "madcat/notebook-2a6f94e607a85094810e", "kernel_id": "24276"}, {"ref": "varunvarghese/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "161478"}, {"ref": "annemarie/notebook-e8e0d765968e59c45181", "kernel_id": "71131"}, {"ref": "annemarie/notebook-533eb995f0ff1cac0eb2", "kernel_id": "71132"}, {"ref": "scolianni/titanic-kaggletrial-disection", "kernel_id": "213458"}, {"ref": "scolianni/titanic-notebook-vol-2-adding-improvements", "kernel_id": "210447"}, {"ref": "scolianni/this-is-my-first-time-using-a-kaggle-notebook", "kernel_id": "204200"}, {"ref": "alinagator/notebook-0462867898d613ffcdc4", "kernel_id": "27642"}, {"ref": "mufuteevc/notebook1fdeba74ff", "kernel_id": "165571"}, {"ref": "bharat77/notebook38fec4c659", "kernel_id": "274032"}, {"ref": "bharat77/notebook3fb6e5c870", "kernel_id": "277202"}, {"ref": "bharat77/notebookde2a750f4a", "kernel_id": "277250"}, {"ref": "bharat77/notebook299d286198", "kernel_id": "218833"}, {"ref": "bharat77/notebook71f4fa95a7", "kernel_id": "129953"}, {"ref": "bharat77/notebooka08f19c48e", "kernel_id": "129955"}, {"ref": "bharat77/a-journey-through-titanic-d4b11839", "kernel_id": "116134"}, {"ref": "bharat77/basic-model-using-pandas-and-sklearn", "kernel_id": "99992"}, {"ref": "bharat77/a-journey-through-titanic", "kernel_id": "92510"}, {"ref": "connerchang/a-journey-through-titanic", "kernel_id": "103138"}, {"ref": "zhaoze/titanic", "kernel_id": "220067"}, {"ref": "sundyy/taitannikehao", "kernel_id": "332320"}, {"ref": "zeus1729/notebook-e6b6d481e4a3f12558f0", "kernel_id": "82508"}, {"ref": "kenmatsu4/notebook-e2d30db73d50bc45ad1b", "kernel_id": "22519"}, {"ref": "shgshy/notebookae36eba2e9", "kernel_id": "128259"}, {"ref": "leemiracle/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "227666"}, {"ref": "liorrokach2/notebookd0e07fda45", "kernel_id": "256744"}, {"ref": "xuancanh/notebook-58a6aacf91868a58ae3e", "kernel_id": "68812"}, {"ref": "marcose18/a-journey-through-titanic", "kernel_id": "182124"}, {"ref": "marcose18/notebook38bc997287", "kernel_id": "228984"}, {"ref": "marcose18/notebook320ecbcb64", "kernel_id": "226476"}, {"ref": "marcose18/a-journey-through-titanic-07082f", "kernel_id": "186370"}, {"ref": "nicholashartmann/trial-1", "kernel_id": "70992"}, {"ref": "rowdyrabbit/notebook24fa2eb813", "kernel_id": "166333"}, {"ref": "maburto00/notebook0865b9bc54", "kernel_id": "208408"}, {"ref": "giacnotto/a-journey-through-titanic", "kernel_id": "196054"}, {"ref": "giacnotto/notebook2506328bb8", "kernel_id": "112055"}, {"ref": "supratikbose/data-imputation-followed-by-ada-boosting", "kernel_id": "179245"}, {"ref": "anastasia874/notebooke21efab3c0", "kernel_id": "162457"}, {"ref": "anastasia874/a-journey-through-titanic", "kernel_id": "162417"}, {"ref": "buaahsh/a-journey-through-titanic", "kernel_id": "43048"}, {"ref": "satishjasthi/a-journey-through-titanic-17887ac6", "kernel_id": "179842"}, {"ref": "satishjasthi/a-journey-through-titanic-ca07d438", "kernel_id": "175264"}, {"ref": "chemaplana/the-accountant-titanic-prediction", "kernel_id": "501278"}, {"ref": "ahorjia/a-journey-through-titanic", "kernel_id": "128391"}, {"ref": "ahorjia/a-journey-through-titanic-b40124a5", "kernel_id": "132644"}, {"ref": "nikhilmishra2110/titanic-best-working-classifier", "kernel_id": "134559"}, {"ref": "michielkalkman/kaggle-titanic-001", "kernel_id": "22311"}, {"ref": "michielkalkman/notebook-bd09dd76d5fa3999916a", "kernel_id": "22315"}, {"ref": "rafalszota/titanic-learning", "kernel_id": "275485"}, {"ref": "rafalszota/notebook54ec1793a0", "kernel_id": "275487"}, {"ref": "uniisland/notebook-9a3a4e4a4432460e9c73", "kernel_id": "29186"}, {"ref": "nirajftw/titanic-tutorial-from-dataquest", "kernel_id": "60141"}, {"ref": "nirajftw/notebook-3b5feee3eb4b8b7d5f43", "kernel_id": "60143"}, {"ref": "nirajftw/notebook-9aa11efc42bf17400624", "kernel_id": "60311"}, {"ref": "nirajftw/notebook-c055188d0e9f6a239024", "kernel_id": "60284"}, {"ref": "nirajftw/notebook-89bc74cc9944c1ad2f8a", "kernel_id": "60302"}, {"ref": "nirajftw/notebook-cf2940020d255d12bed9", "kernel_id": "60278"}, {"ref": "jamesmcguigan/titanic-guessing-with-simple-assumptions", "kernel_id": "280932"}, {"ref": "jamesmcguigan/python-titanic-exploration", "kernel_id": "270463"}, {"ref": "kezarmader/titanic-survived-v1", "kernel_id": "123341"}, {"ref": "msznajder/titanic-dataset-eda-found-error-in-the-data", "kernel_id": "532474"}, {"ref": "eugenius/simple-notebook-for-beginners", "kernel_id": "691259"}, {"ref": "citrucel/notebooka829aeb95e", "kernel_id": "90170"}, {"ref": "aydogankaragoz/trytt", "kernel_id": "20344"}, {"ref": "czak41/notebook029a80d9b5", "kernel_id": "211656"}, {"ref": "afuyo1/exploratory-tutorial-titanic", "kernel_id": "108723"}, {"ref": "bjcost/notebook32ce295d54", "kernel_id": "204925"}, {"ref": "tushartilwankar/xgboost-example-python", "kernel_id": "25959"}, {"ref": "gobithemansoe/notebook6290fc0f90", "kernel_id": "159401"}, {"ref": "muppal/introduction-to-ensembling-stacking-in-python", "kernel_id": "190203"}, {"ref": "juiz007/notebooke0cd9d14fe", "kernel_id": "218947"}, {"ref": "rajkiran/a-journey-through-titanic", "kernel_id": "134710"}, {"ref": "rajkiran/a-journey-through-titanic-3b4142f6", "kernel_id": "134767"}, {"ref": "rajkiran/a-journey-through-titanic-5d764748", "kernel_id": "177737"}, {"ref": "rajkiran/a-journey-through-titanic-037d0d1a", "kernel_id": "179430"}, {"ref": "rajkiran/notebook3484ba53d0", "kernel_id": "227700"}, {"ref": "cbouey/notebook-c3199b8b153fcef4597d", "kernel_id": "24774"}, {"ref": "cbouey/notebook-1d7349e812bfbe8d8eb2", "kernel_id": "24779"}, {"ref": "cbouey/initial", "kernel_id": "24780"}, {"ref": "apollostar/titanic1", "kernel_id": "15288"}, {"ref": "olinguyen/a-journey-through-titanic", "kernel_id": "97787"}, {"ref": "irfaandomun/notebook531f9fec46", "kernel_id": "132942"}, {"ref": "jaredchung/testing-r", "kernel_id": "85447"}, {"ref": "demart78/a-journey-through-titanic", "kernel_id": "150280"}, {"ref": "xinyutan/a-journey-through-titanic", "kernel_id": "89292"}, {"ref": "carishmashetty/trial", "kernel_id": "38225"}, {"ref": "iliasemenov/logistic-regression", "kernel_id": "11458"}, {"ref": "anthony041992/a-journey-through-titanic", "kernel_id": "170479"}, {"ref": "turnerem/a-journey-through-titanic-fded9dc4", "kernel_id": "128432"}, {"ref": "samirid/a-journey-through-titanic", "kernel_id": "177607"}, {"ref": "makhozo/titanic-data-exploration", "kernel_id": "820225"}, {"ref": "cbrogan/test-random-forest", "kernel_id": "335"}, {"ref": "cbrogan/testing", "kernel_id": "346"}, {"ref": "cbrogan/lucky-namesvv", "kernel_id": "349"}, {"ref": "cbrogan/xgboost-example-python", "kernel_id": "264"}, {"ref": "cbrogan/titanic-ml-script-v1", "kernel_id": "265"}, {"ref": "cbrogan/titanic-v2", "kernel_id": "60643"}, {"ref": "cbrogan/notebook-4b23571ffb704f233ad0", "kernel_id": "60644"}, {"ref": "cbrogan/titanic", "kernel_id": "60636"}, {"ref": "cbrogan/titanic-v1", "kernel_id": "60638"}, {"ref": "cbrogan/notebook-c30da8d2b8d82100aae3", "kernel_id": "60846"}, {"ref": "cbrogan/notebook-d185eca70a0650e2185e", "kernel_id": "60847"}, {"ref": "malayka/titanic", "kernel_id": "198446"}, {"ref": "atlas7/atlas7-kaggle-titanic-version-1", "kernel_id": "623921"}, {"ref": "lukeaus/a-journey-through-titanic", "kernel_id": "108222"}, {"ref": "reality/notebook741b8956a7", "kernel_id": "200069"}, {"ref": "sumendar/notebook7f3359b1bf", "kernel_id": "105332"}, {"ref": "sansanohmygod/mytitanic", "kernel_id": "365"}, {"ref": "raghavansandhya/predict-possible-survivors-on-the-titanic", "kernel_id": "410006"}, {"ref": "szamil/where-is-my-output-file", "kernel_id": "370529"}, {"ref": "jagadishm/notebookf9b25b7fb3", "kernel_id": "99226"}, {"ref": "orrymr/hello-kaggle", "kernel_id": "219675"}, {"ref": "shouvik/notebookea2f815d11", "kernel_id": "215549"}, {"ref": "seoterran/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "152880"}, {"ref": "eelcowiechert/notebooka76b10cf38", "kernel_id": "193066"}, {"ref": "ngcthuong/titanic-py-test", "kernel_id": "197914"}, {"ref": "serlabel/notebook03d7ad95f5", "kernel_id": "164966"}, {"ref": "serlabel/titanic", "kernel_id": "165120"}, {"ref": "riletti/titanic", "kernel_id": "98418"}, {"ref": "computermage/test-titanic-survival-script", "kernel_id": "235981"}, {"ref": "sanupl/notebook89ffd2f608", "kernel_id": "276513"}, {"ref": "jsanch/learning-ml-with-kaggle", "kernel_id": "178128"}, {"ref": "stevito/a-journey-through-titanic", "kernel_id": "120791"}, {"ref": "shankarpandala/titanic-submission-using-python", "kernel_id": "24352"}, {"ref": "yeshwanthv/notebooke21277edea", "kernel_id": "93773"}, {"ref": "mnpathak1/titanic-survival-analysis-and-prediction", "kernel_id": "340617"}, {"ref": "srinid/titanic-best-working-classifier", "kernel_id": "148781"}, {"ref": "srinid/notebook1564d01c8f", "kernel_id": "148532"}, {"ref": "yoannjanvier/notebook-74ae351f8d05255e232a", "kernel_id": "56470"}, {"ref": "arpitsharma/notebooke2f7a9f4ab", "kernel_id": "108812"}, {"ref": "arpitsharma/notebook8c93a635af", "kernel_id": "101344"}, {"ref": "alwond/survival-probability-on-board-titanic-model", "kernel_id": "199739"}, {"ref": "nomonoho/a-journey-through-titanic", "kernel_id": "131491"}, {"ref": "thodime/titanic-v1", "kernel_id": "11587"}, {"ref": "thodime/titanic-data-science-solutions", "kernel_id": "170856"}, {"ref": "thodime/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "170846"}, {"ref": "dashwieland/titanic-machine-learning-notebook", "kernel_id": "224960"}, {"ref": "alviur/multilayer-perceptron-based-using-tensorflow", "kernel_id": "116785"}, {"ref": "alviur/logistic-regretion-based", "kernel_id": "113273"}, {"ref": "ymcdull/tensorflow-test", "kernel_id": "65671"}, {"ref": "ymcdull/frank-titanic-first-test", "kernel_id": "69498"}, {"ref": "nathanpatrick/iiiiiii", "kernel_id": "1263"}, {"ref": "nathanpatrick/python-test", "kernel_id": "825"}, {"ref": "mylesoneill/tutorial-1-gender-based-model-0-76555", "kernel_id": "5329"}, {"ref": "mylesoneill/tutorial-2-gender-price-class-model", "kernel_id": "6384"}, {"ref": "stupidjoey/notebook03ac56b1c6", "kernel_id": "206377"}, {"ref": "stupidjoey/notebookc7494e2397", "kernel_id": "206380"}, {"ref": "cameronsim/notebook34b8c2fd81", "kernel_id": "174476"}, {"ref": "cameronsim/an-interactive-data-science-tutorial", "kernel_id": "173041"}, {"ref": "ucabhoa/notebook351a9a1d9d", "kernel_id": "112443"}, {"ref": "adgupt/a-journey-through-titanic", "kernel_id": "173370"}, {"ref": "javierllaca/titanic-py", "kernel_id": "111616"}, {"ref": "duthchao/a-journey-through-titanic", "kernel_id": "30514"}, {"ref": "nkaufman/titanic-exploration", "kernel_id": "118553"}, {"ref": "tokyocity0406/notebook59c43021df", "kernel_id": "176329"}, {"ref": "nodata/notebook39404be813", "kernel_id": "218114"}, {"ref": "nodata/notebook35a7dc3863", "kernel_id": "217015"}, {"ref": "nodata/notebookbbde4914c2", "kernel_id": "193784"}, {"ref": "chinwee/notebook-19748e0510fe80ef2011", "kernel_id": "34547"}, {"ref": "chinwee/notebook-4a7fdf969fa20e8977b8", "kernel_id": "34548"}, {"ref": "radugheorghiu/titanic-machine-learning-from-disaster", "kernel_id": "256824"}, {"ref": "rajarja/titanic-best-working-classifier", "kernel_id": "143980"}, {"ref": "sabihachoudhry/notebook00d8599c11", "kernel_id": "138586"}, {"ref": "sabihachoudhry/notebook8e4c5c827e", "kernel_id": "135285"}, {"ref": "litvinov/notebook1586007f7d", "kernel_id": "219339"}, {"ref": "qf2016/a-journey-through-titanic", "kernel_id": "117917"}, {"ref": "qf2016/notebookdc3ee40920", "kernel_id": "118058"}, {"ref": "qf2016/a-journey-through-titanic-1264cca7", "kernel_id": "118091"}, {"ref": "washer/a-journey-through-titanic", "kernel_id": "162808"}, {"ref": "squirrelparty/notebook31dcd72bd5", "kernel_id": "248124"}, {"ref": "datakraken/learning-kernel", "kernel_id": "224983"}, {"ref": "messiran/notebook-c571afad2d4e2a35e934", "kernel_id": "36694"}, {"ref": "messiran/mytest", "kernel_id": "36695"}, {"ref": "messiran/notebook-5f052e3e111d7fec362e", "kernel_id": "36697"}, {"ref": "messiran/study", "kernel_id": "36700"}, {"ref": "messiran/mytest1", "kernel_id": "36701"}, {"ref": "messiran/notebook-ab84f8fbbe6e48b39ce7", "kernel_id": "36830"}, {"ref": "fester/notebook1b7939295a", "kernel_id": "278144"}, {"ref": "fester/notebooke3c05b4fb9", "kernel_id": "278156"}, {"ref": "sanazb/notebook3f45a247b2", "kernel_id": "209542"}, {"ref": "lyndonarmitage/notebook-6a876f8b9212f4154827", "kernel_id": "30851"}, {"ref": "laurencelau0636/installed-python-packages", "kernel_id": "5088"}, {"ref": "malymandalay/titanic-book-3-decision-trees", "kernel_id": "208856"}, {"ref": "malymandalay/titanic-from-cleaning-to-visualisation", "kernel_id": "205644"}, {"ref": "ammarzaher/a-journey-through-titanic", "kernel_id": "141187"}, {"ref": "ammarzaher/a-journey-through-titanic-5754d517", "kernel_id": "141190"}, {"ref": "sagjounkani/an-interactive-data-science-tutorial", "kernel_id": "178763"}, {"ref": "zazzycat/titanic-experiment", "kernel_id": "235959"}, {"ref": "zazzycat/notebook2f506d126d", "kernel_id": "235963"}, {"ref": "zazzycat/my-titanic-experiment", "kernel_id": "235969"}, {"ref": "venkatramakrishnan/titanic-predictions-with-decision-tree", "kernel_id": "234414"}, {"ref": "venkatramakrishnan/notebook79245e2905", "kernel_id": "233745"}, {"ref": "rishabh8492/titanic-data-analysis-and-machine-learning", "kernel_id": "188545"}, {"ref": "rishabh8492/titanic-maritime-machine-learning", "kernel_id": "188541"}, {"ref": "rishabh8492/introduction-to-ensembling-stacking-in-python", "kernel_id": "188542"}, {"ref": "rishabh8492/a-journey-through-titanic", "kernel_id": "177904"}, {"ref": "rishabh8492/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "177906"}, {"ref": "rishabh8492/an-interactive-data-science-tutorial", "kernel_id": "177230"}, {"ref": "youssefb/a-journey-through-titanic", "kernel_id": "77027"}, {"ref": "kmgteano/titanictest", "kernel_id": "546"}, {"ref": "develbyte/notebook9173b5cbaf", "kernel_id": "145881"}, {"ref": "develbyte/titanic-version2", "kernel_id": "145886"}, {"ref": "sslampa/notebooka9b9c75890", "kernel_id": "86377"}, {"ref": "sslampa/notebook19113496b6", "kernel_id": "86378"}, {"ref": "restabrook/titanic-passenger-survival", "kernel_id": "105887"}, {"ref": "yuhongliu/testtitanic", "kernel_id": "8769"}, {"ref": "huhugravity/explore-training-data", "kernel_id": "1092"}, {"ref": "hazium/notebook-fd7426318c52a172825b", "kernel_id": "60103"}, {"ref": "canran/titanic-rf", "kernel_id": "54581"}, {"ref": "canran/notebook-d51fd388e18c9bb55e3c", "kernel_id": "57292"}, {"ref": "canran/notebook-e554e2b07967b5659f31", "kernel_id": "57295"}, {"ref": "canran/notebook-bae01bdcb03df6d07273", "kernel_id": "57296"}, {"ref": "mlgeek21/randomforest-method-v1-0", "kernel_id": "16514"}, {"ref": "wangscot/a-journey-through-titanic", "kernel_id": "107475"}, {"ref": "abhishekbera/a-simple-nn-in-tensorflow", "kernel_id": "396191"}, {"ref": "atppath/notebook28012df10c", "kernel_id": "100710"}, {"ref": "jalajkumar/jalajkumar-r-script", "kernel_id": "91484"}, {"ref": "jalajkumar/notebook286c90b6b4", "kernel_id": "91478"}, {"ref": "rednaxel22/titanic-first-approach", "kernel_id": "226936"}, {"ref": "zachzeyuchen/notebook8629a65211", "kernel_id": "86283"}, {"ref": "pradithyaaria/titanic-first-attempt", "kernel_id": "547047"}, {"ref": "ishtiaque/a-journey-through-titanic", "kernel_id": "101662"}, {"ref": "sankethmopuru/testing-scripts", "kernel_id": "99675"}, {"ref": "sankethmopuru/test-script", "kernel_id": "99676"}, {"ref": "dataisdestiny/titanic-ml", "kernel_id": "49335"}, {"ref": "vishnoiprem/fork-of-prem02-ds", "kernel_id": "180899"}, {"ref": "vishnoiprem/prem02-ds", "kernel_id": "180184"}, {"ref": "andheroe/a-journey-through-titanic-51a25dca", "kernel_id": "86439"}, {"ref": "andheroe/a-journey-through-titanic-7f349a56", "kernel_id": "86440"}, {"ref": "andheroe/a-journey-through-titanic", "kernel_id": "86437"}, {"ref": "chaserchap/notebook72f93890d7", "kernel_id": "137769"}, {"ref": "ksuenaga/notebook4cd8330d67", "kernel_id": "226555"}, {"ref": "marek5050/an-interactive-data-science-tutorial", "kernel_id": "169443"}, {"ref": "rohitdhankar/feature-engineering", "kernel_id": "162716"}, {"ref": "rohitdhankar/multiple-imputation-of-missing-values", "kernel_id": "158981"}, {"ref": "ronakmalviya/titanic-the-worlds-end", "kernel_id": "24336"}, {"ref": "sylviasun/titanic1", "kernel_id": "16553"}, {"ref": "seanmccrdy/sean-script-1", "kernel_id": "73112"}, {"ref": "franticcc/testing-12345", "kernel_id": "205621"}, {"ref": "franticcc/notebookdf36c22ab7", "kernel_id": "205615"}, {"ref": "duochen/a-journey-through-titanic", "kernel_id": "101348"}, {"ref": "yufeizhao1/python-seaborn-pairplot-example", "kernel_id": "799"}, {"ref": "cpruce/kaggle-titanic-001", "kernel_id": "97691"}, {"ref": "rickwoe/notebook739577e450", "kernel_id": "221853"}, {"ref": "ingeniosus/titanic-py", "kernel_id": "40042"}, {"ref": "rpifiona/logistic-regression-0-78469", "kernel_id": "23241"}, {"ref": "aruams/notebookeb43ba2c6f", "kernel_id": "189346"}, {"ref": "yethindran/titanic-r-v-0-0", "kernel_id": "7076"}, {"ref": "mangetic356/mxf123", "kernel_id": "203519"}, {"ref": "mangetic356/notebook139210ecc3", "kernel_id": "202675"}, {"ref": "mangetic356/notebookb2ef46f65c", "kernel_id": "201780"}, {"ref": "mangetic356/mxf-tatanic", "kernel_id": "201777"}, {"ref": "mvgkbhat/some-pandas", "kernel_id": "187355"}, {"ref": "konjunyiha/working-with-pandas-and-scikit-learn", "kernel_id": "30982"}, {"ref": "konjunyiha/notebook-3e7026bb359aa2cbc196", "kernel_id": "30983"}, {"ref": "konjunyiha/first-try-py", "kernel_id": "28119"}, {"ref": "golgrif/an-interactive-data-science-tutorial", "kernel_id": "175569"}, {"ref": "golgrif/an-interactive-data-science-tutorial-d2fe5ab7", "kernel_id": "175776"}, {"ref": "benbenqiang/notebook-583549872840ea59a77f", "kernel_id": "24193"}, {"ref": "shystrilla/testing", "kernel_id": "48604"}, {"ref": "shystrilla/notebook-c40ec8acfbda2a942442", "kernel_id": "48513"}, {"ref": "shystrilla/test-example", "kernel_id": "47561"}, {"ref": "mikkelb/mikkelbtest", "kernel_id": "107493"}, {"ref": "taralparker/notebookcc3b779390", "kernel_id": "229278"}, {"ref": "ajkells/a-journey-through-titanic", "kernel_id": "166360"}, {"ref": "cdbajorin/notebookdd6edcc729", "kernel_id": "148395"}, {"ref": "daryadedik/notebook948e5b51c4", "kernel_id": "90039"}, {"ref": "daryadedik/notebookb71a630a3f", "kernel_id": "90040"}, {"ref": "daryadedik/notebookac96219276", "kernel_id": "90041"}, {"ref": "daryadedik/notebook85733fad7d", "kernel_id": "90042"}, {"ref": "daryadedik/could-the-titanic-have-been-saved", "kernel_id": "90549"}, {"ref": "daryadedik/titanic-rescue", "kernel_id": "89878"}, {"ref": "piznaul/an-interactive-data-science-tutorial", "kernel_id": "210714"}, {"ref": "yoyosisco/randomforest-cforest-method", "kernel_id": "27472"}, {"ref": "twsthomas/a-journey-through-titanic", "kernel_id": "101400"}, {"ref": "jayanthphegde/my-titanic", "kernel_id": "154925"}, {"ref": "jamesenelson/notebook-a1f90c160ca7c067943e", "kernel_id": "27944"}, {"ref": "doufunao/notebook-cd63c9015a292b2f3020", "kernel_id": "81859"}, {"ref": "doufunao/scikit-learn-ml-from-start-to-finish", "kernel_id": "90460"}, {"ref": "lxinbit/exploratory-tutorial-titanic-9cb0c312", "kernel_id": "108321"}, {"ref": "christer/a-journey-through-titanic", "kernel_id": "180621"}, {"ref": "christer/a-journey-through-titanic-81ca0350", "kernel_id": "180624"}, {"ref": "sharkand/notebook-b0a85968855af2e7c4a5", "kernel_id": "34767"}, {"ref": "samliu/notebook-c76afddd752740ceb452", "kernel_id": "36737"}, {"ref": "samliu/notebook-986a805fde9096312a50", "kernel_id": "36738"}, {"ref": "samliu/titanic", "kernel_id": "36739"}, {"ref": "venskut/kaggle-competition-titanic-survival", "kernel_id": "132006"}, {"ref": "liziyuann/notebook-57506697cec507e7596a", "kernel_id": "52331"}, {"ref": "liziyuann/a-journey-through-titanic", "kernel_id": "52080"}, {"ref": "liziyuann/notebook-7c64be6bbcd63b5263b8", "kernel_id": "52086"}, {"ref": "liziyuann/notebook-0a0a783274b39a043ce1", "kernel_id": "52089"}, {"ref": "say2deepak/notebookb4736a721b", "kernel_id": "179751"}, {"ref": "say2deepak/a-journey-through-titanic", "kernel_id": "179737"}, {"ref": "say2deepak/notebook187206a6c2", "kernel_id": "276422"}, {"ref": "haijohn/a-journey-through-titanic", "kernel_id": "34540"}, {"ref": "haijohn/notebook-b626b8fa88dc04c59604", "kernel_id": "34541"}, {"ref": "haijohn/random-forest-benchmark-r", "kernel_id": "34542"}, {"ref": "supradeep/notebook8320392b55", "kernel_id": "89634"}, {"ref": "starparvin/test1", "kernel_id": "32111"}, {"ref": "mcwalters/pythonscikitlearnexample", "kernel_id": "22050"}, {"ref": "amineteffal/notebook8ad04001f6", "kernel_id": "128526"}, {"ref": "amineteffal/script-rf", "kernel_id": "25358"}, {"ref": "xiaoyuwang/titanic-data-science-solutions", "kernel_id": "192385"}, {"ref": "bayron/an-interactive-data-science-tutorial", "kernel_id": "226041"}, {"ref": "tanuj12345/notebook58e6227de1", "kernel_id": "267236"}, {"ref": "nagallapradeep/titanic-test", "kernel_id": "179352"}, {"ref": "thinkdata/logistic", "kernel_id": "64354"}, {"ref": "thinkdata/notebook-3e3a6df0b50b35ce0d08", "kernel_id": "64356"}, {"ref": "thinkdata/notebook-5d8644953d9fb3b92b22", "kernel_id": "64357"}, {"ref": "thinkdata/notebook-ab1994c856f07c5f165b", "kernel_id": "64364"}, {"ref": "thinkdata/study-of-tree-and-forest-algorithms", "kernel_id": "64893"}, {"ref": "thinkdata/notebook-7a21ee065c2f9cb646b7", "kernel_id": "64906"}, {"ref": "thinkdata/notebook-903e10d189240fe6aaa7", "kernel_id": "64907"}, {"ref": "thinkdata/notebook-85f64e1ac0b8696bc53e", "kernel_id": "64908"}, {"ref": "thinkdata/the-2th-titanic", "kernel_id": "64909"}, {"ref": "thinkdata/notebook-b7d362b98d577edcd033", "kernel_id": "65227"}, {"ref": "thinkdata/notebook-0c0cbdb1ea590a1ea66c", "kernel_id": "65149"}, {"ref": "thinkdata/notebook-1bc28574c95963c0fcd1", "kernel_id": "65150"}, {"ref": "thinkdata/notebook-68598bc6b9e97d0f98da", "kernel_id": "62464"}, {"ref": "thinkdata/a-journey-through-titanic", "kernel_id": "63440"}, {"ref": "ostotsky/a-journey-through-titanic", "kernel_id": "121189"}, {"ref": "dinreddy/titanic-problem", "kernel_id": "184222"}, {"ref": "ramirojc/notebook4d1aa03d0d", "kernel_id": "106003"}, {"ref": "garysham/first", "kernel_id": "876"}, {"ref": "probe301/introduction-to-ensembling-stacking-in-python", "kernel_id": "233403"}, {"ref": "sunnyin/notebooka5e9c25e58", "kernel_id": "115418"}, {"ref": "sunnyin/notebook1c58ef6977", "kernel_id": "115167"}, {"ref": "ygolub/titanic", "kernel_id": "261084"}, {"ref": "jerrythomas/surviving-titanic-and-learning-r", "kernel_id": "109902"}, {"ref": "jerrythomas/a-journey-through-titanic", "kernel_id": "109903"}, {"ref": "sweetram/sweetram", "kernel_id": "122650"}, {"ref": "jduan1/test001", "kernel_id": "8522"}, {"ref": "freddiez/random-forest-benchmark-r", "kernel_id": "76334"}, {"ref": "freddiez/a-journey-through-titanic", "kernel_id": "76328"}, {"ref": "ferrarisf50/test-random-forest-unbalanced-class", "kernel_id": "224923"}, {"ref": "ferrarisf50/titanic-rf", "kernel_id": "224860"}, {"ref": "gameking157/notebooke624bcd477", "kernel_id": "168985"}, {"ref": "gameking157/notebook107a6fefd9", "kernel_id": "168289"}, {"ref": "gameking157/notebook0209e30a1a", "kernel_id": "170935"}, {"ref": "vicontek/notebookbb5ef4f30b", "kernel_id": "117726"}, {"ref": "jlquiros/notebook9befa1f8f2", "kernel_id": "102697"}, {"ref": "petriroi/notebook10811b0325", "kernel_id": "199714"}, {"ref": "petriroi/notebooke7695cf930", "kernel_id": "199725"}, {"ref": "petriroi/testing-how-to-run-kernel", "kernel_id": "199730"}, {"ref": "petriroi/my-first-script", "kernel_id": "200608"}, {"ref": "anilkagak2/decisiontreeswithtitle", "kernel_id": "19541"}, {"ref": "nileshnayak/a-journey-through-titanic", "kernel_id": "161490"}, {"ref": "shorey/a-journey-through-titanic-522f41e7", "kernel_id": "119806"}, {"ref": "shorey/exploratory-tutorial-titanic", "kernel_id": "205428"}, {"ref": "agend07/notebook-dbefe8fe373effed0da8", "kernel_id": "50044"}, {"ref": "agend07/a-journey-through-titanic", "kernel_id": "50032"}, {"ref": "agend07/notebook-be164635448752beacc1", "kernel_id": "49617"}, {"ref": "agend07/notebook-a0ec43fa621211c21369", "kernel_id": "49618"}, {"ref": "filipovicivan/pypypy", "kernel_id": "28084"}, {"ref": "filipovicivan/assasasa", "kernel_id": "28087"}, {"ref": "huseyincelik/notebookc0a6ff6dbb", "kernel_id": "230939"}, {"ref": "benainscough/a-journey-through-titanic", "kernel_id": "97465"}, {"ref": "puccaa/notebookaab2c8432c", "kernel_id": "166413"}, {"ref": "psodhi/a-journey-through-titanic", "kernel_id": "105912"}, {"ref": "nickibeaks/notebook-582b8c69440fd16275b0", "kernel_id": "34553"}, {"ref": "corybacher/notebook8281a447ad", "kernel_id": "233420"}, {"ref": "ankit25/mmmmmmjjnj", "kernel_id": "406"}, {"ref": "bobbykenny/notebook-29b3619d585c361bf630", "kernel_id": "27805"}, {"ref": "marchhare/notebook-50ccbe07f9150f25854d", "kernel_id": "23262"}, {"ref": "twbattaglia/random-forests", "kernel_id": "204483"}, {"ref": "lgadsden/notebookdf03372ac8", "kernel_id": "119850"}, {"ref": "rubuntang/titanic-best-working-classifier", "kernel_id": "137931"}, {"ref": "minniekabra/a-journey-through-titanic", "kernel_id": "90955"}, {"ref": "kornislaw/notebookad6ed40430", "kernel_id": "271715"}, {"ref": "mingkun/titanic-test", "kernel_id": "138000"}, {"ref": "vanimesh76/titanic-data-science-solutions", "kernel_id": "221761"}, {"ref": "ertugrulural/notebook98cc575179", "kernel_id": "95526"}, {"ref": "inlovidual/hello-ds", "kernel_id": "116575"}, {"ref": "mathewlee/firsttest", "kernel_id": "7681"}, {"ref": "aishijiang/titanic-2", "kernel_id": "15653"}, {"ref": "aishijiang/titanic-3", "kernel_id": "16713"}, {"ref": "aishijiang/matlab-test", "kernel_id": "16714"}, {"ref": "isfelix/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "167313"}, {"ref": "fcostartistican/titanic-in-r-few-words-a-lot-of-plots", "kernel_id": "373844"}, {"ref": "aceisnotmycard/titanic", "kernel_id": "22669"}, {"ref": "deepaksharmaindia/notebookea0ddbcba8", "kernel_id": "173380"}, {"ref": "deepaksharmaindia/notebook91b6eea5f9", "kernel_id": "173378"}, {"ref": "tranvinhcuong/a-journey-through-titanic", "kernel_id": "135507"}, {"ref": "aselad/exploratory-data-analysis-on-the-titanic-dataset", "kernel_id": "328808"}, {"ref": "shriram3nerkar/notebook-cacb7fbc4be8290d0a81", "kernel_id": "78940"}, {"ref": "neviadomski/titanic-data-exploration-starter", "kernel_id": "424760"}, {"ref": "zhehangt/notebook-574bb96eb3e73fa6bf26", "kernel_id": "26496"}, {"ref": "haifengxu9/notebookf9da341b81", "kernel_id": "95866"}, {"ref": "vishy730/titanic", "kernel_id": "89205"}, {"ref": "kjitender/notebooke851df720b", "kernel_id": "117659"}, {"ref": "kjitender/test1", "kernel_id": "117660"}, {"ref": "kjitender/decision-tree-test1", "kernel_id": "118639"}, {"ref": "kjitender/gender-fare-model", "kernel_id": "118240"}, {"ref": "kjitender/tree-model1", "kernel_id": "139099"}, {"ref": "matamata/a-journey-through-titanic", "kernel_id": "129438"}, {"ref": "angubenko/titanic", "kernel_id": "207783"}, {"ref": "phstudy/notebook72a0ee73aa", "kernel_id": "162797"}, {"ref": "platalytics/notebook-ac57a8010a8c7e0eb4b3", "kernel_id": "33127"}, {"ref": "platalytics/notebook-7f05d199bbb6e55a8861", "kernel_id": "33128"}, {"ref": "platalytics/a-journey-through-titanic", "kernel_id": "33124"}, {"ref": "katrinadataing/introduction-to-ensembling-stacking-in-python", "kernel_id": "192495"}, {"ref": "khaledfayed/beat-the-benchmark-with-one-cool-trick", "kernel_id": "52692"}, {"ref": "sudeepn/titanic-best-working-classifier", "kernel_id": "136305"}, {"ref": "chaatak/notebook-b92f9967912886e540aa", "kernel_id": "58499"}, {"ref": "chaatak/notebook-840c06964a9b85837526", "kernel_id": "58500"}, {"ref": "pchormai/a-journey-through-titanic", "kernel_id": "103057"}, {"ref": "amitansh/logistic-regression", "kernel_id": "158068"}, {"ref": "jrnation22/test1", "kernel_id": "110464"}, {"ref": "charleschanlee/titanic-survival-tree", "kernel_id": "143284"}, {"ref": "charleschanlee/notebook07a85bf448", "kernel_id": "143288"}, {"ref": "vikash2829/titanic-random-forest-82-78", "kernel_id": "200424"}, {"ref": "byrony/titanic-majority-vote-of-ridge-rf-and-gbm", "kernel_id": "98592"}, {"ref": "drevan/notebook-16d1219ffbd4f0acf6dc", "kernel_id": "76709"}, {"ref": "drevan/dataexplore1", "kernel_id": "76711"}, {"ref": "drevan/notebook-46b60faebe5152c12d60", "kernel_id": "76707"}, {"ref": "thedatascienceguy/notebooke76e2e5f51", "kernel_id": "132045"}, {"ref": "thedatascienceguy/notebookcd68973176", "kernel_id": "131083"}, {"ref": "rwarrier/titanic-cross-validation", "kernel_id": "256443"}, {"ref": "user001/introduction-to-ensembling-stacking-in-python", "kernel_id": "190484"}, {"ref": "dougolson/a-journey-through-titanic", "kernel_id": "124322"}, {"ref": "bikramdahal/notebook-6a010c50a3843ec9feb3", "kernel_id": "40119"}, {"ref": "bikramdahal/notebook-1ec144401ea402b88b31", "kernel_id": "40120"}, {"ref": "bikramdahal/notebook-1251c06271a41b0a4ff2", "kernel_id": "40121"}, {"ref": "bikramdahal/titanic-random-forest-r", "kernel_id": "43586"}, {"ref": "bikramdahal/notebook-e04603b183fec1c80129", "kernel_id": "43587"}, {"ref": "bikramdahal/titanic-deeplearning-ofg-r", "kernel_id": "46841"}, {"ref": "bikramdahal/test-12d-r", "kernel_id": "45551"}, {"ref": "bikramdahal/notebook-315e744f46093083dab0", "kernel_id": "45360"}, {"ref": "azamoglan/notebookefb4b12bcc", "kernel_id": "246200"}, {"ref": "ryankung/notebook15652d86c2", "kernel_id": "251604"}, {"ref": "ryankung/test-rk", "kernel_id": "251605"}, {"ref": "peaceful0907/study-of-tree-and-forest-algorithms", "kernel_id": "76956"}, {"ref": "peaceful0907/notebook-3f744e8705a7eca0518b", "kernel_id": "76957"}, {"ref": "annacarolinabarros/meu-script", "kernel_id": "143091"}, {"ref": "anthonyyeo/testing-1", "kernel_id": "26068"}, {"ref": "zxstest/random-forest-benchmark-r", "kernel_id": "7205"}, {"ref": "santhoshkumar199/notebookced85de326", "kernel_id": "233618"}, {"ref": "kronos455/notebook03abad3bfe", "kernel_id": "235249"}, {"ref": "zhangjunustc0405/a-journey-through-titanic", "kernel_id": "93116"}, {"ref": "zhangjunustc0405/notebook271f1566b2", "kernel_id": "92922"}, {"ref": "ankitagrawal/notebooke6be9a1ca8", "kernel_id": "244511"}, {"ref": "sai993/notebook-8964040a7f737526c464", "kernel_id": "25361"}, {"ref": "pquinn91/random-forest-benchmark-r", "kernel_id": "20819"}, {"ref": "njimenezcol/a-journey-through-titanic", "kernel_id": "110524"}, {"ref": "njimenezcol/titanic-version2", "kernel_id": "142910"}, {"ref": "njimenezcol/a-journey-through-titanic-with-some-notes", "kernel_id": "140843"}, {"ref": "njimenezcol/titanic-version3", "kernel_id": "146227"}, {"ref": "njimenezcol/could-the-titanic-have-been-saved-183473ef", "kernel_id": "146235"}, {"ref": "njimenezcol/exploratory-tutorial-titanic", "kernel_id": "146291"}, {"ref": "monicab/a-journey-through-titanic", "kernel_id": "104429"}, {"ref": "jmanish/notebook011b9d3e8a", "kernel_id": "549889"}, {"ref": "jmanish/notebook-d9c9ef61a9086bff9da2", "kernel_id": "24576"}, {"ref": "pminmin/randomforest", "kernel_id": "233445"}, {"ref": "chaoranliu/randomforest-method", "kernel_id": "5368"}, {"ref": "chaoranliu/cabin-position-may-affect-survival", "kernel_id": "6032"}, {"ref": "pagpires/notebook-93372bd7ff788bd0714c", "kernel_id": "68854"}, {"ref": "pagpires/titanic-first-journey", "kernel_id": "59904"}, {"ref": "necromancer/notebookfd766a60c1", "kernel_id": "123234"}, {"ref": "girishramnani/notebook3afb97513f", "kernel_id": "221153"}, {"ref": "bboyrichardcu/a-journey-through-titanic", "kernel_id": "95323"}, {"ref": "Kharonsride/a-journey-through-titanic", "kernel_id": "109399"}, {"ref": "stevenpark/a-journey-through-titanic-df8c011c", "kernel_id": "87486"}, {"ref": "adilemrebilgic/making-prediction-titanic", "kernel_id": "657643"}, {"ref": "abladeth/notebookb86a3a58ab", "kernel_id": "235294"}, {"ref": "xdeadbeef/a-journey-through-titanic", "kernel_id": "101688"}, {"ref": "tocca1/notebook-77693ea3340317b39454", "kernel_id": "31615"}, {"ref": "jgomezromero/myfirst-test-titanic", "kernel_id": "209721"}, {"ref": "fabiolana/notebook7b6ba8286a", "kernel_id": "241430"}, {"ref": "negwest1/my0000", "kernel_id": "123422"}, {"ref": "negwest1/my-hello-world-notebook", "kernel_id": "162654"}, {"ref": "ianwells/titanic-simple-rf-with-name-and-age-features", "kernel_id": "332177"}, {"ref": "chrislef/study-of-tree-and-forest-algorithms", "kernel_id": "69261"}, {"ref": "wyliechee/first-trial-py", "kernel_id": "148576"}, {"ref": "dogatuncay/notebookd2cd51f6d9", "kernel_id": "240773"}, {"ref": "varunsharma3/titanic-disaster", "kernel_id": "518035"}, {"ref": "varunsharma3/notebook32bfb23a68", "kernel_id": "121132"}, {"ref": "varunsharma3/a-journey-through-titanic", "kernel_id": "123480"}, {"ref": "varunsharma3/notebook8e69340ada", "kernel_id": "123993"}, {"ref": "varunsharma3/titatnic", "kernel_id": "120961"}, {"ref": "varunsharma3/notebook7a3a3accb7", "kernel_id": "126323"}, {"ref": "lsy643/notebook-89bc35e742e37b124ae3", "kernel_id": "67979"}, {"ref": "lsy643/notebook-e2e7c73a31838b5e179c", "kernel_id": "68095"}, {"ref": "vivekkhetan/titanic1", "kernel_id": "110640"}, {"ref": "vivekkhetan/exploratory-tutorial-titanic", "kernel_id": "107347"}, {"ref": "rajanurag14/survival-analysis", "kernel_id": "171782"}, {"ref": "rajanurag14/notebook15bb14b956", "kernel_id": "172427"}, {"ref": "rajanurag14/notebooked8d569e18", "kernel_id": "172452"}, {"ref": "caseyiannone/notebook-754de99493d6a035884b", "kernel_id": "39555"}, {"ref": "caseyiannone/notebook-d3c4e211e3fa646e5be2", "kernel_id": "39556"}, {"ref": "rganeshprasath/notebook-eeebdd912822bfad9ca4", "kernel_id": "45958"}, {"ref": "rganeshprasath/notebook-fbd6de1a247499884a06", "kernel_id": "46194"}, {"ref": "rganeshprasath/notebook-7ceddcaab6099201b3fa", "kernel_id": "46195"}, {"ref": "rganeshprasath/titanic-exploratory-scripts", "kernel_id": "63258"}, {"ref": "nickh2/titanic-one", "kernel_id": "326"}, {"ref": "jamiecollinson/titanic-tutorial-with-python-first-submission", "kernel_id": "161583"}, {"ref": "jamiecollinson/titanic-random-forests", "kernel_id": "162445"}, {"ref": "jamiecollinson/notebook-9a131e773473b35617e5", "kernel_id": "81867"}, {"ref": "jamiecollinson/notebook-1422d052a96e41cd134a", "kernel_id": "81504"}, {"ref": "jamiecollinson/notebook-92ece0faab0854adbf2d", "kernel_id": "81517"}, {"ref": "jamiecollinson/titanic-tutorial", "kernel_id": "81518"}, {"ref": "yiranelainexu/notebookd8214d6753", "kernel_id": "185846"}, {"ref": "yiranelainexu/a-journey-through-titanic", "kernel_id": "184933"}, {"ref": "sodanuo/fork-dataquest-v2", "kernel_id": "55869"}, {"ref": "sodanuo/fork-dataquest", "kernel_id": "55830"}, {"ref": "sodanuo/fork-dataquest-imp-ex", "kernel_id": "56108"}, {"ref": "peopleanalytics/notebook4833ccf404", "kernel_id": "123154"}, {"ref": "peopleanalytics/titanic-data-set", "kernel_id": "123156"}, {"ref": "tygavin/a-journey-through-titanic", "kernel_id": "100684"}, {"ref": "zard1991/a-journey-through-titanic-c207c2f5", "kernel_id": "119585"}, {"ref": "zard1991/a-journey-through-titanic", "kernel_id": "119409"}, {"ref": "zard1991/a-journey-through-titanic-5b365c63", "kernel_id": "125215"}, {"ref": "nikeros1974/a-journey-through-titanic", "kernel_id": "158047"}, {"ref": "machinelearningpy/notebook4139abc530", "kernel_id": "163624"}, {"ref": "sinekor/test01", "kernel_id": "25431"}, {"ref": "jasonlai0408/titanic", "kernel_id": "22678"}, {"ref": "nanocular/fork-of-an-interactive-data-science-tutorial", "kernel_id": "220553"}, {"ref": "nanocular/an-interactive-data-science-tutorial", "kernel_id": "220481"}, {"ref": "nanocular/titanic-data-science-solutions", "kernel_id": "219908"}, {"ref": "sn3fru/the-simple-xgboost-application-with-auc-89", "kernel_id": "569128"}, {"ref": "panic1/demo-run", "kernel_id": "492"}, {"ref": "zhoujj/notebook7257c6846d", "kernel_id": "202741"}, {"ref": "chamandahy/machinelearningfromdisaster", "kernel_id": "247280"}, {"ref": "chamandahy/test1", "kernel_id": "247278"}, {"ref": "praveenprashant/titanic-newbie", "kernel_id": "214372"}, {"ref": "poptangyang/an-interactive-data-science-tutorial", "kernel_id": "235615"}, {"ref": "poptangyang/notebook-84de285f3b0d36daae7f", "kernel_id": "32521"}, {"ref": "justinqtaylor/notebookee03654e91", "kernel_id": "162889"}, {"ref": "justinqtaylor/notebookcd765f5a9d", "kernel_id": "162880"}, {"ref": "chdhatri/exploring-survival-on-the-titanic", "kernel_id": "77992"}, {"ref": "chsovankrishna/notebookca8eaeda70", "kernel_id": "93938"}, {"ref": "ensathishkumar/randomforesten", "kernel_id": "19024"}, {"ref": "whitewhim/testing", "kernel_id": "663"}, {"ref": "eustin/first-script-test", "kernel_id": "241095"}, {"ref": "zxjzxj9/notebookcb3c6c601d", "kernel_id": "185285"}, {"ref": "flott341401/aahaa", "kernel_id": "912"}, {"ref": "zengping/an-interactive-data-science-tutorial-test", "kernel_id": "204889"}, {"ref": "zengping/zengping-s-first-kernal-titanic", "kernel_id": "217381"}, {"ref": "maotanzi/titanic", "kernel_id": "111657"}, {"ref": "preethikandhalu/a-journey-through-titanic", "kernel_id": "89114"}, {"ref": "preethikandhalu/a-journey-through-titanic-2a3c4854", "kernel_id": "91426"}, {"ref": "preethikandhalu/a-journey-through-titanic-dcf39c10", "kernel_id": "91204"}, {"ref": "thetaosu/exploratory-tutorial-titanic", "kernel_id": "111406"}, {"ref": "hirochan/titanic-machine-learning", "kernel_id": "952"}, {"ref": "gsysbm/notebooka9dc80927a", "kernel_id": "124468"}, {"ref": "allenjin118/kaggle-titanic-001", "kernel_id": "29269"}, {"ref": "anwarpasaribu/random-forest-benchmark-r", "kernel_id": "887"}, {"ref": "bharatsaraswat/beginning-notes-for-titanic", "kernel_id": "570037"}, {"ref": "zuckgo/exploring-survival-on-the-titanic-python-version", "kernel_id": "394495"}, {"ref": "schumi543/titanic-data-science-solutions", "kernel_id": "808103"}, {"ref": "sriramvalluri/notebookf0a9759940", "kernel_id": "200548"}, {"ref": "harshbansal/notebook8e37cfb967", "kernel_id": "241427"}, {"ref": "shubham1/titanic-sa", "kernel_id": "109746"}, {"ref": "shubham1/titanic", "kernel_id": "109747"}, {"ref": "michaelmccraw/python-seaborn-pairplot-example", "kernel_id": "1103"}, {"ref": "tubabucak/notebook-f8ad8af9d55722f2091f", "kernel_id": "35667"}, {"ref": "jianyuyouyin/test1", "kernel_id": "1059"}, {"ref": "ashroxz/a-journey-through-titanic", "kernel_id": "37675"}, {"ref": "ashroxz/ashwin-trial", "kernel_id": "37657"}, {"ref": "pabgamu/notebook-73c78b70959055effc0b", "kernel_id": "38865"}, {"ref": "pabgamu/titaniclinearreg", "kernel_id": "38866"}, {"ref": "sxiong/script-py", "kernel_id": "36943"}, {"ref": "lifengmiao/first-script", "kernel_id": "5723"}, {"ref": "lifengmiao/titanic", "kernel_id": "5831"}, {"ref": "dbsnail/notebookd527af419f", "kernel_id": "101981"}, {"ref": "nerdcat/notebook-e66a71036b63e3a2dc6f", "kernel_id": "82550"}, {"ref": "yusongwang/testrun", "kernel_id": "2832"}, {"ref": "copyfriend/first-kernel-submission", "kernel_id": "186926"}, {"ref": "copyfriend/notebooka3938f4356", "kernel_id": "186927"}, {"ref": "abassetiawan/notebookf5f958e008", "kernel_id": "123664"}, {"ref": "cryptomanic/power-of-random-forest", "kernel_id": "136968"}, {"ref": "rcasellas/titanic-kernel-random-forest-classifier", "kernel_id": "204860"}, {"ref": "rcasellas/titanic-extra-trees-classifier", "kernel_id": "226923"}, {"ref": "rcasellas/titanic-xgboost-model", "kernel_id": "226267"}, {"ref": "rcasellas/titanic-feature-exploration", "kernel_id": "229807"}, {"ref": "rcasellas/notebook1babad4f3a", "kernel_id": "236828"}, {"ref": "rcasellas/titanic-extra-trees-classifier-mk3", "kernel_id": "230949"}, {"ref": "rcasellas/ensemble-stacking-with-et-script", "kernel_id": "231013"}, {"ref": "rcasellas/titanic-classifier-ensemble-stacking-with-xgboost", "kernel_id": "230440"}, {"ref": "rcasellas/notebook7cf109967d", "kernel_id": "234562"}, {"ref": "rcasellas/ensemble-stacking-with-xgboost-script-tuned", "kernel_id": "234598"}, {"ref": "rcasellas/notebookb9b65f50ba", "kernel_id": "234710"}, {"ref": "rcasellas/notebookf746569e2b", "kernel_id": "234700"}, {"ref": "rcasellas/ensemble-stacking-with-xgboost-script-mk3", "kernel_id": "234691"}, {"ref": "rcasellas/titanic-perceptron", "kernel_id": "241529"}, {"ref": "rcasellas/notebook8344379e04", "kernel_id": "243467"}, {"ref": "rcasellas/xgboost-tuned", "kernel_id": "247233"}, {"ref": "prakashanand/notebookfe30153523", "kernel_id": "230547"}, {"ref": "prakashanand/klsnflksnbklsndbl", "kernel_id": "10333"}, {"ref": "tkngch/data-exploration-in-r", "kernel_id": "230311"}, {"ref": "rajeevkumar/testing", "kernel_id": "24291"}, {"ref": "torenunez/notebook-0eb31dbac724623a16d0", "kernel_id": "69474"}, {"ref": "torenunez/kaggle-titanic-001", "kernel_id": "168273"}, {"ref": "torenunez/notebooke3dfb12f52", "kernel_id": "168280"}, {"ref": "torenunez/random-forest-benchmark-r-torenunez", "kernel_id": "168278"}, {"ref": "abhilashawasthi/xgboost-example-python", "kernel_id": "27772"}, {"ref": "yugosha/titanic-test", "kernel_id": "109244"}, {"ref": "yugosha/notebookbfe6a3805d", "kernel_id": "109248"}, {"ref": "beckman16/kaggle-titanic-001", "kernel_id": "26441"}, {"ref": "beckman16/notebook-bf003b1ff6ffff9a6ecf", "kernel_id": "26443"}, {"ref": "beckman16/a-journey-through-titanic", "kernel_id": "26449"}, {"ref": "jaygrayson/titanic-v3", "kernel_id": "305563"}, {"ref": "nkummer/exploring-titanic-survival-rates", "kernel_id": "174553"}, {"ref": "ewenwang/notebook-1b96d29da8bc34c9cf3c", "kernel_id": "34977"}, {"ref": "ewenwang/notebook-ff931da77b51d81e00b8", "kernel_id": "63847"}, {"ref": "sukingkong/test01", "kernel_id": "1407"}, {"ref": "paviya/random-forest-benchmark-r", "kernel_id": "5095"}, {"ref": "vijaysathish/traveling-alone-or-with-family", "kernel_id": "1518"}, {"ref": "vijaysathish/python-seaborn-pairplot-example", "kernel_id": "1519"}, {"ref": "edwinshi/a-journey-through-titanic-9a212c60", "kernel_id": "106266"}, {"ref": "edwinshi/a-journey-through-titanic-d917360f", "kernel_id": "106260"}, {"ref": "edwinshi/a-journey-through-titanic", "kernel_id": "106250"}, {"ref": "edwinshi/a-journey-through-titanic-24ee93db", "kernel_id": "106252"}, {"ref": "dineshkumarm/notebook757f34aa1f", "kernel_id": "236061"}, {"ref": "deepthinrao/notebookd2f1b9d487", "kernel_id": "276807"}, {"ref": "bigdit/test00002", "kernel_id": "15298"}, {"ref": "bigdit/test00000", "kernel_id": "7948"}, {"ref": "eduardostalinho/notebook-f104a1798fb17df582ce", "kernel_id": "75233"}, {"ref": "chetansastry/chetan-s-titanic-notebook", "kernel_id": "204105"}, {"ref": "thedojo/notebook-ef8dad7dbe11086ede8f", "kernel_id": "31629"}, {"ref": "dileepmunugoti/a-journey-through-titanic", "kernel_id": "132669"}, {"ref": "mumohk/notebook-9ea01f4cb4375f3d4aff", "kernel_id": "56632"}, {"ref": "markdavey/notebook5ced9e9659", "kernel_id": "106863"}, {"ref": "markdavey/predicting-survival-on-the-titanic", "kernel_id": "118908"}, {"ref": "markdavey/junker", "kernel_id": "184813"}, {"ref": "psuero/titanic-1", "kernel_id": "48819"}, {"ref": "ralphgragutaya/a-journey-through-titanic", "kernel_id": "115998"}, {"ref": "niranjan0272/titanic-kaggle", "kernel_id": "111262"}, {"ref": "cattom/notebookce57a46886", "kernel_id": "202635"}, {"ref": "miguelrayon/a-journey-through-titanic", "kernel_id": "144202"}, {"ref": "miguelrayon/quick-random-forest-and-comparison-with-trees", "kernel_id": "106959"}, {"ref": "vertic/test1", "kernel_id": "22203"}, {"ref": "romy25/notebooke94cb5c2c5", "kernel_id": "265804"}, {"ref": "romy25/notebookb1ac4b1030", "kernel_id": "263470"}, {"ref": "rrp9999/notebook69b03bdb41", "kernel_id": "156117"}, {"ref": "cbates/titanicintro", "kernel_id": "182212"}, {"ref": "cbates/titanic", "kernel_id": "182202"}, {"ref": "shubhamagarwal92/starting-script", "kernel_id": "100149"}, {"ref": "jeanyutongchen/notebook-4c2365ae0dde3e0e52d9", "kernel_id": "24426"}, {"ref": "jeanyutongchen/trial", "kernel_id": "24428"}, {"ref": "jeanyutongchen/kaggle-titanic-001", "kernel_id": "22919"}, {"ref": "hongjie/notebookcf52c7c52c", "kernel_id": "178218"}, {"ref": "saideepg/fork-of-a-journey-through-titanic-s", "kernel_id": "177495"}, {"ref": "bartekmarcinowski/notebook9f8bf8bb1c", "kernel_id": "214886"}, {"ref": "cl003351507/influential-factors-r", "kernel_id": "2752"}, {"ref": "proboscis/notebook-8385d049ae8045d65cca", "kernel_id": "39038"}, {"ref": "renqiang/notebook16fff076fc", "kernel_id": "99210"}, {"ref": "jgbandini/a-journey-through-titanic", "kernel_id": "109601"}, {"ref": "swaroopg790/to-get-survival-info", "kernel_id": "3281"}, {"ref": "ryanhausen/titanic-mlp", "kernel_id": "26765"}, {"ref": "hnkryden/titanic-rydn", "kernel_id": "234444"}, {"ref": "esawtooth/notebook-7ccc11ea459bcc677582", "kernel_id": "28205"}, {"ref": "joeo1352609/traveling-alone-or-with-family", "kernel_id": "2846"}, {"ref": "cwallaceh/notebook-9404508cab617eeaefb2", "kernel_id": "38213"}, {"ref": "danielblazevski/first-script", "kernel_id": "2887"}, {"ref": "danielblazevski/a-journey-through-titanic", "kernel_id": "94391"}, {"ref": "jonnagra/froga", "kernel_id": "50806"}, {"ref": "jonnagra/froga-1", "kernel_id": "50807"}, {"ref": "jonnagra/proba-kaggle", "kernel_id": "50809"}, {"ref": "ys19931006/titanic-randomforrest-v1-2", "kernel_id": "16593"}, {"ref": "mgill25/a-journey-through-titanic", "kernel_id": "107557"}, {"ref": "mgill25/notebook9d6d1dd80a", "kernel_id": "107621"}, {"ref": "zhenxu1/notebook-f11194049b2399c627d4", "kernel_id": "21850"}, {"ref": "semmytaju/titanic-tfidfvectorizer-with-word-level-n-gram", "kernel_id": "834243"}, {"ref": "orchidmajumder/notebook39d6487a8c", "kernel_id": "199391"}, {"ref": "shreyasraut/random-forest-benchmark-r", "kernel_id": "6336"}, {"ref": "sathley/notebook3bd5d8d5c6", "kernel_id": "262385"}, {"ref": "sheelabhadra/notebook1c3a7442b9", "kernel_id": "141683"}, {"ref": "abutaleb/test1", "kernel_id": "23008"}, {"ref": "wangsg/zillow-eda", "kernel_id": "329650"}, {"ref": "xiaoyiyy/notebook-b22f0860f2f9b39c39ac", "kernel_id": "20573"}, {"ref": "andreumora/notebookc122d778c0", "kernel_id": "134941"}, {"ref": "andreumora/notebooke90dc00fac", "kernel_id": "134942"}, {"ref": "andreumora/notebook173a1fa69a", "kernel_id": "134946"}, {"ref": "andreumora/notebook4a3d19c3da", "kernel_id": "126340"}, {"ref": "andreumora/notebook7da4657ec3", "kernel_id": "123875"}, {"ref": "viczmliu/testing", "kernel_id": "6522"}, {"ref": "lagaunne/patrick", "kernel_id": "31663"}, {"ref": "patrickchan/a-journey-through-titanic", "kernel_id": "189927"}, {"ref": "vinodmang/liblinear-model", "kernel_id": "8100"}, {"ref": "betterwang/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "247884"}, {"ref": "freesoft/random-forest-benchmark-tweaked", "kernel_id": "3221"}, {"ref": "kabramova/exploretitanic", "kernel_id": "3218"}, {"ref": "ioananegrut/titanic-1st-try", "kernel_id": "30569"}, {"ref": "aiswaryaramachandran/dataprocessing", "kernel_id": "7545"}, {"ref": "aiswaryaramachandran/notebook-6d915ff8273d970dc341", "kernel_id": "22102"}, {"ref": "aiswaryaramachandran/notebook-211e596d03b48a0b9c17", "kernel_id": "22103"}, {"ref": "aiswaryaramachandran/titanic-survival-prediction", "kernel_id": "22099"}, {"ref": "aiswaryaramachandran/notebook-fafa5ce11917e033d907", "kernel_id": "22105"}, {"ref": "aiswaryaramachandran/notebook-e66857414c75f58f0803", "kernel_id": "22107"}, {"ref": "aiswaryaramachandran/titanic-logistic-regression", "kernel_id": "22263"}, {"ref": "mywatch/notebook0ec9a0f78c", "kernel_id": "245313"}, {"ref": "mywatch/notebook266f167cf4", "kernel_id": "241015"}, {"ref": "chaitanyasai/notebook4e1e91641c", "kernel_id": "255246"}, {"ref": "chaitanyasai/notebookd1c564892f", "kernel_id": "221803"}, {"ref": "jafarpour/notebook418216a841", "kernel_id": "119468"}, {"ref": "jafarpour/my-first-go-at-the-titanic-dataset", "kernel_id": "119434"}, {"ref": "keithleit/notebook6c04be071f", "kernel_id": "140085"}, {"ref": "keithleit/notebook30c84b2cb1", "kernel_id": "140086"}, {"ref": "ekkirinaldi/a-journey-through-titanic", "kernel_id": "121613"}, {"ref": "andy12290/a-journey-through-titanic", "kernel_id": "109084"}, {"ref": "arcluke/exploring-survival-on-the-titanic", "kernel_id": "93061"}, {"ref": "grishasizov/notebook-f8df415aa16adc909c07", "kernel_id": "71770"}, {"ref": "dgamelin/djg12", "kernel_id": "31159"}, {"ref": "alanleefd/a-journey-through-titanic", "kernel_id": "154645"}, {"ref": "kenkenp/a-journey-through-titanic", "kernel_id": "32628"}, {"ref": "kenkenp/notebook-ad56cce4ffb5592705f4", "kernel_id": "32629"}, {"ref": "chengyao/a-journey-through-titanic", "kernel_id": "191610"}, {"ref": "chengyao/tatanic-yaoc", "kernel_id": "192027"}, {"ref": "mathematix/exploring-survival-on-the-titanic", "kernel_id": "77143"}, {"ref": "dscientist15/notebookdd1b16feef", "kernel_id": "222468"}, {"ref": "ibacaraujo/getting-started-in-competitions", "kernel_id": "274900"}, {"ref": "ibacaraujo/notebook4c0028ee22", "kernel_id": "274907"}, {"ref": "ibacaraujo/notebook27d97e937c", "kernel_id": "274921"}, {"ref": "ramnakumar/a-journey-through-titanic-062b885d", "kernel_id": "168385"}, {"ref": "ramnakumar/a-journey-through-titanic", "kernel_id": "167834"}, {"ref": "ramnakumar/a-journey-through-titanic-bb0ceebd", "kernel_id": "167837"}, {"ref": "partumer/a-journey-through-titanic", "kernel_id": "114123"}, {"ref": "tropianhs/simple-randomforest", "kernel_id": "6424"}, {"ref": "mtothej/notebook-d698b6fc305f6c4be974", "kernel_id": "22379"}, {"ref": "mtothej/notebook-03e2f2441fef2b631e95", "kernel_id": "22380"}, {"ref": "cankoklu/xgboost-example-python", "kernel_id": "80949"}, {"ref": "minhhoangtcu/an-interactive-data-science-tutorial", "kernel_id": "173928"}, {"ref": "lichlee/introduction-to-ensembling-stacking", "kernel_id": "238641"}, {"ref": "burakhmmtgl/logisticregression", "kernel_id": "37010"}, {"ref": "agundry/gradient-boosted-tree-python", "kernel_id": "5387"}, {"ref": "bensel1234/python-seaborn-pairplot-example", "kernel_id": "4509"}, {"ref": "markiemarkus/simple-titanic-sub", "kernel_id": "114180"}, {"ref": "paullo0106/testtest", "kernel_id": "4527"}, {"ref": "enileda3/simple-titanic-prediction-for-absolute-beginners", "kernel_id": "382370"}, {"ref": "diogoncalves/titanic-first-journey", "kernel_id": "58269"}, {"ref": "diogoncalves/notebook-911321fa470e45cfe0a7", "kernel_id": "58273"}, {"ref": "michalsiwek/notebook9d6c592a1e", "kernel_id": "202975"}, {"ref": "michalsiwek/2017-03-06-titanic-script", "kernel_id": "202977"}, {"ref": "chuongnguyen/titanic", "kernel_id": "110493"}, {"ref": "chuongnguyen/notebookaaceb17ed0", "kernel_id": "110699"}, {"ref": "inthebackofmymind/an-interactive-data-science-tutorial", "kernel_id": "173427"}, {"ref": "inthebackofmymind/an-interactive-data-science-tutorial-aa4d1634", "kernel_id": "173429"}, {"ref": "inthebackofmymind/an-interactive-data-science-tutorial-7ff87c22", "kernel_id": "173432"}, {"ref": "yuanliust/notebookd4636648d3", "kernel_id": "117431"}, {"ref": "stevenotu/a-journey-through-titanic", "kernel_id": "93999"}, {"ref": "wuyunsdu/exploratory-tutorial-titanic-44527948", "kernel_id": "108199"}, {"ref": "wuyunsdu/exploratory-tutorial-titanic", "kernel_id": "107850"}, {"ref": "wuyunsdu/kaggle-titanic-001", "kernel_id": "107990"}, {"ref": "wuyunsdu/logistic-regression", "kernel_id": "200437"}, {"ref": "madberdin/notebook-2992d4e618f8564a93fb", "kernel_id": "65784"}, {"ref": "parpulovdmitry/my-script", "kernel_id": "22314"}, {"ref": "ravikumarn/a-journey-through-titanic", "kernel_id": "109191"}, {"ref": "jamesfung/testnew", "kernel_id": "33041"}, {"ref": "jamesfung/notebook-5720f61a7e8556310f5e", "kernel_id": "33042"}, {"ref": "nitinmahajan/titanic-survivorship-analysis", "kernel_id": "160400"}, {"ref": "junhopark/scikit-learn-ml-from-start-to-finish-1", "kernel_id": "414562"}, {"ref": "myszkiewicz92/titanic-r", "kernel_id": "238234"}, {"ref": "mbeach/a-journey-through-titanic", "kernel_id": "39199"}, {"ref": "mbeach/notebook-9046cc63c21d5ff19a00", "kernel_id": "39200"}, {"ref": "bdwyer/notebook-d9e902c5a4743ded0214", "kernel_id": "78300"}, {"ref": "bdwyer/a-journey-through-titanic", "kernel_id": "78297"}, {"ref": "franciscoalonso/test1titanic", "kernel_id": "186185"}, {"ref": "kelvinkong/notebook3d2b2270f5", "kernel_id": "248312"}, {"ref": "geniilz/notebook-a159a6abe5fc4364ca0c", "kernel_id": "71191"}, {"ref": "patricktu/a-journey-through-titanic", "kernel_id": "146523"}, {"ref": "aalapparikh95/an-interactive-data-science-tutorial", "kernel_id": "174216"}, {"ref": "anthonyalford/pyladies-rdu", "kernel_id": "261594"}, {"ref": "anthonyalford/learning-about-notebooks", "kernel_id": "254814"}, {"ref": "davidmedvedev/titanic", "kernel_id": "4825"}, {"ref": "iamdata/notebook-7fc9acf9d47f325fc7ba", "kernel_id": "37619"}, {"ref": "annseb/titanic-as", "kernel_id": "64175"}, {"ref": "yoyocm/classifiers-push-your-hands-up-to-vote", "kernel_id": "97967"}, {"ref": "yoyocm/one-class-one-model-two-classes-two-models", "kernel_id": "100770"}, {"ref": "manu92/an-interactive-data-science-tutorial", "kernel_id": "170773"}, {"ref": "manu92/an-interactive-data-science-tutorial-5ebee9ed", "kernel_id": "170832"}, {"ref": "ianstream/notebook576c2b69f4", "kernel_id": "111730"}, {"ref": "kstathou/notebookb10deb51a0", "kernel_id": "210787"}, {"ref": "praneethkumar/python-seaborn-pairplot-example", "kernel_id": "4975"}, {"ref": "insaneguy/notebook-6c87746d19d54093cc81", "kernel_id": "47559"}, {"ref": "yshvrdhn/notebook-537f2700b6bb6d3c4cf5", "kernel_id": "66695"}, {"ref": "yshvrdhn/a-journey-through-titanic", "kernel_id": "124856"}, {"ref": "jessicayung/titanic-dataset-getting-started-tutorials", "kernel_id": "93063"}, {"ref": "ywtk1991/titanic-data-science-solutions", "kernel_id": "254462"}, {"ref": "geauxeric/pythonic", "kernel_id": "5073"}, {"ref": "jarontang/a-journey-through-titanic", "kernel_id": "120488"}, {"ref": "cycl0ps/test1", "kernel_id": "5358"}, {"ref": "kenjioda/test-kernel-for-titanic-disaster", "kernel_id": "221592"}, {"ref": "alemozz/pclassagesex", "kernel_id": "24401"}, {"ref": "alemozz/script-py", "kernel_id": "23444"}, {"ref": "serelk/notebook-df2d0454cdb155cb217d", "kernel_id": "33781"}, {"ref": "willrenius/an-interactive-data-science-tutorial-d3219e", "kernel_id": "212636"}, {"ref": "willrenius/first-kaggle-entry", "kernel_id": "212637"}, {"ref": "samuelding/kaggle-first-ipythonnotebook", "kernel_id": "52324"}, {"ref": "abnerchen/test1", "kernel_id": "5308"}, {"ref": "brunocfnba/a-journey-through-titanic", "kernel_id": "120342"}, {"ref": "sskapci/notebookeeac1ae1fd", "kernel_id": "94959"}, {"ref": "antonov/logistic-regression-for-titanic", "kernel_id": "8759"}, {"ref": "matheus/titanic", "kernel_id": "111142"}, {"ref": "coconuthack/jads-coconut-predictions", "kernel_id": "368194"}, {"ref": "mageswaran/a-journey-through-titanic", "kernel_id": "97495"}, {"ref": "thiagoavadore/notebook02596575b3", "kernel_id": "136748"}, {"ref": "lynnqiaoyazhang/a-journey-through-titanic", "kernel_id": "99962"}, {"ref": "philipkalinda/titanic-modelling", "kernel_id": "113488"}, {"ref": "hermetist/notebook6d95551372", "kernel_id": "228728"}, {"ref": "hermetist/come-from-south-park", "kernel_id": "228734"}, {"ref": "hermetist/notebook28ef5e2b96", "kernel_id": "229389"}, {"ref": "pippobaudos/notebook-c1fe37ee895710b98506", "kernel_id": "26777"}, {"ref": "pippobaudos/test-ipython-notebook", "kernel_id": "26527"}, {"ref": "pippobaudos/decision-tree-visualization-submission", "kernel_id": "26530"}, {"ref": "pippobaudos/notebook-2478b0cc6d637f1bfea6", "kernel_id": "26532"}, {"ref": "pippobaudos/notebook-1355b862e1ba8dca7bd8", "kernel_id": "26499"}, {"ref": "pippobaudos/notebook-79c2f954c4f994e974af", "kernel_id": "26501"}, {"ref": "pippobaudos/my-notebook", "kernel_id": "26504"}, {"ref": "pippobaudos/test-r-script-on-titanic", "kernel_id": "26483"}, {"ref": "thebrocean/benchmarking-random-forests", "kernel_id": "5949"}, {"ref": "vishkegg/notebook5f897f8e4e", "kernel_id": "231069"}, {"ref": "jediwanderer/notebook-692550f57df0f1af7b10", "kernel_id": "35277"}, {"ref": "jediwanderer/notebook-3b07bf1b2a70abd182aa", "kernel_id": "35278"}, {"ref": "jediwanderer/notebook-aade9b48513d8711c220", "kernel_id": "35279"}, {"ref": "jediwanderer/notebook-6adcd59134a15484d9fd", "kernel_id": "35280"}, {"ref": "ghyslain/case-study-predict-survival-on-the-titanic", "kernel_id": "88721"}, {"ref": "theskulls/testas", "kernel_id": "16282"}, {"ref": "rishic/titanic-randomforrest-v1-2", "kernel_id": "7074"}, {"ref": "venkatmuthu/1st-running", "kernel_id": "142785"}, {"ref": "soumyaparida/notebook98074aeaf9", "kernel_id": "165588"}, {"ref": "soumyaparida/notebookc8cffd5a29", "kernel_id": "182045"}, {"ref": "soumyaparida/notebookaaf5b72e66", "kernel_id": "181969"}, {"ref": "soumyaparida/titanic-test", "kernel_id": "181979"}, {"ref": "soumyaparida/notebook9720077a48", "kernel_id": "181960"}, {"ref": "soumyaparida/titanic-solution", "kernel_id": "181966"}, {"ref": "imsayantan/getting-started", "kernel_id": "12164"}, {"ref": "luke3d/titanic-random-forest-82-78", "kernel_id": "178561"}, {"ref": "manskj/random-forest-benchmark-r", "kernel_id": "5560"}, {"ref": "manskj/machine-learning-and-titanic", "kernel_id": "5688"}, {"ref": "manskj/new-rf-script", "kernel_id": "6006"}, {"ref": "manskj/ctree-test", "kernel_id": "5946"}, {"ref": "libra202ma/exploring-survival-on-the-titanic", "kernel_id": "254831"}, {"ref": "sandyyadav/titanic-survival-prediction", "kernel_id": "337528"}, {"ref": "rishabhbitsg/notebook57830d6ada", "kernel_id": "133973"}, {"ref": "sinebria/notebook-a09906460e31f9949403", "kernel_id": "28145"}, {"ref": "bshatp/testit", "kernel_id": "5749"}, {"ref": "steven0307/notebook-9df2048aeabbe9f8798b", "kernel_id": "47511"}, {"ref": "jordandotdata/a-journey-through-titanic", "kernel_id": "181138"}, {"ref": "zzxneuq/a-journey-through-titanic", "kernel_id": "117012"}, {"ref": "zzxneuq/exploratory-tutorial-titanic-disaster-44760cfe", "kernel_id": "120923"}, {"ref": "nicolasj/notebook-6ac34100f82e5ba6240f", "kernel_id": "36978"}, {"ref": "nicolasj/notebook-6ee35f93060a1c36f231", "kernel_id": "36975"}, {"ref": "nicolasj/notebook-2822bcbf6c6f512952ed", "kernel_id": "36976"}, {"ref": "gioaccurso/notebook-1a940c11ae97f243c0a4", "kernel_id": "24113"}, {"ref": "gioaccurso/notebook-972f2e3e3a4bfbcd8c61", "kernel_id": "24114"}, {"ref": "gioaccurso/notebook-0821bd55704896f01b64", "kernel_id": "24115"}, {"ref": "donkeyfire/an-interactive-data-science-tutorial", "kernel_id": "227114"}, {"ref": "paul356/titanic-ph-1", "kernel_id": "158328"}, {"ref": "lastactionhero/firstlesson", "kernel_id": "31977"}, {"ref": "lastactionhero/titanic-random-forest-learning-0-76555", "kernel_id": "32274"}, {"ref": "ajitmotra/test-script", "kernel_id": "6490"}, {"ref": "saili1091/testing", "kernel_id": "5924"}, {"ref": "masaya1982/lucky-names", "kernel_id": "5937"}, {"ref": "skamat95/titanic", "kernel_id": "5931"}, {"ref": "shaodan/deleted", "kernel_id": "218838"}, {"ref": "imtiaz4ds/a-journey-through-titanic", "kernel_id": "107522"}, {"ref": "kirankunapuli/summary-statistics-of-training-data", "kernel_id": "86395"}, {"ref": "dharmatej/random-forest-python", "kernel_id": "14632"}, {"ref": "dharmatej/python-seaborn-pairplot", "kernel_id": "14494"}, {"ref": "dharmatej/1234567", "kernel_id": "15286"}, {"ref": "dharmatej/x12345", "kernel_id": "15268"}, {"ref": "ghezal75/riune", "kernel_id": "6727"}, {"ref": "ghezal75/script", "kernel_id": "6914"}, {"ref": "kushalbohra/notebook97e0ffd4b4", "kernel_id": "246399"}, {"ref": "exotol/notebook2912ee2786", "kernel_id": "249297"}, {"ref": "xelonix/a-journey-through-titanic", "kernel_id": "116000"}, {"ref": "mschou/titanic001", "kernel_id": "23442"}, {"ref": "mschou/notebook-a3f1ab8deb25605c67a1", "kernel_id": "23445"}, {"ref": "silviuganea/notebook6f5517edd4", "kernel_id": "91545"}, {"ref": "silviuganea/random-forest-benchmark-r", "kernel_id": "89836"}, {"ref": "john1connor/introduction-to-ensembling-stacking-in-python", "kernel_id": "190413"}, {"ref": "john1connor/introduction-to-ensembling-stacking-in-pyth-9f6c81", "kernel_id": "190414"}, {"ref": "john1connor/introduction-to-ensembling-stacking-in-pyth-5ed09b", "kernel_id": "190431"}, {"ref": "hitler1991/titanic", "kernel_id": "156234"}, {"ref": "siddharthtandon/notebook880f65723e", "kernel_id": "90992"}, {"ref": "muthu4all/a-journey-through-titanic", "kernel_id": "75524"}, {"ref": "slowika/an-interactive-data-science-tutorial", "kernel_id": "178082"}, {"ref": "slowika/a-journey-through-titanic", "kernel_id": "178078"}, {"ref": "dimaku/notebook6f58edb502", "kernel_id": "139245"}, {"ref": "dimaku/test-py", "kernel_id": "139247"}, {"ref": "cbryant/the-15-minute-titanic", "kernel_id": "568828"}, {"ref": "mxmxtj/mxmxtj-p0", "kernel_id": "79759"}, {"ref": "shlim76/a-journey-through-titanic", "kernel_id": "187223"}, {"ref": "klpickrell/cold-as-ice-surviving-titanic-with-xgboost", "kernel_id": "168893"}, {"ref": "leoloh/notebook-f59374ca27bc3a1d0dc7", "kernel_id": "68808"}, {"ref": "maoxing/a-journey-through-titanic", "kernel_id": "86965"}, {"ref": "charitycase/test-run", "kernel_id": "24303"}, {"ref": "vinchan/titanic-ml", "kernel_id": "387202"}, {"ref": "vinchan/titanic-r", "kernel_id": "396314"}, {"ref": "dpratap/dps-test", "kernel_id": "319525"}, {"ref": "hannarud/experimental-script", "kernel_id": "172693"}, {"ref": "hannarud/an-interactive-data-science-tutorial", "kernel_id": "172704"}, {"ref": "dave0420/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "165913"}, {"ref": "dave0420/a-journey-through-titanic", "kernel_id": "165915"}, {"ref": "tputnam/a-journey-through-titanic", "kernel_id": "187409"}, {"ref": "meisin/notebook54b8135447", "kernel_id": "112406"}, {"ref": "dushy2734/notebook662782f581", "kernel_id": "170937"}, {"ref": "nitin1/notebook-7c58dfcc598fca3f5b50", "kernel_id": "77141"}, {"ref": "nitin1/study-of-tree-and-forest-algorithms", "kernel_id": "77112"}, {"ref": "nitin1/notebook-0f48cf055a2a2429538b", "kernel_id": "77113"}, {"ref": "nitin1/notebook-0dca8fb814c322c1daef", "kernel_id": "77114"}, {"ref": "bjcomposer/titanic-data-exploration", "kernel_id": "169109"}, {"ref": "linkanray/titanic-logistic-regression", "kernel_id": "11209"}, {"ref": "lewisstaples/titanicsample", "kernel_id": "6933"}, {"ref": "kourouklides/my-second-kernel-titanic", "kernel_id": "372679"}, {"ref": "baldoino/hello", "kernel_id": "16672"}, {"ref": "baldoino/testing", "kernel_id": "16666"}, {"ref": "imsharad/a-journey-through-titanic-45aff1db", "kernel_id": "178094"}, {"ref": "imsharad/a-journey-through-titanic", "kernel_id": "178026"}, {"ref": "akshatiitj/randomforest-method-v1-0", "kernel_id": "61555"}, {"ref": "siyaozheng/notebookfd87b51e9b", "kernel_id": "146664"}, {"ref": "siyaozheng/notebook4f90e2c170", "kernel_id": "146666"}, {"ref": "siyaozheng/notebook28a461b91e", "kernel_id": "146667"}, {"ref": "eduinhserna/notebook230ee28a95", "kernel_id": "110005"}, {"ref": "eduinhserna/notebook8b8b51ed9f", "kernel_id": "109977"}, {"ref": "manuelatadvice/feature-engineering-titles", "kernel_id": "7560"}, {"ref": "aethertide/cabin-position-may-affect-survival", "kernel_id": "6780"}, {"ref": "mdave25/notebook1b1f1cc8d5", "kernel_id": "273266"}, {"ref": "mdave25/titanic-data-science-solutions", "kernel_id": "263601"}, {"ref": "drgilermo/playing-with-the-knobs-of-sklearn-decision-tree", "kernel_id": "272437"}, {"ref": "drgilermo/a-tutorial-for-complete-beginners", "kernel_id": "494489"}, {"ref": "jiangh52/notebook-01a66212e340d67f8a86", "kernel_id": "44366"}, {"ref": "crimsonlander/exploratory-tutorial-titanic", "kernel_id": "112553"}, {"ref": "luheng/randomforest", "kernel_id": "10399"}, {"ref": "hareshchudgar/sample1", "kernel_id": "17200"}, {"ref": "nulldata/random-forest-benchmark-r", "kernel_id": "18551"}, {"ref": "nulldata/understanding-dplyr-verbs-with-titanic-dataset", "kernel_id": "506694"}, {"ref": "jpires/scikit-learn-ml-from-start-to-finish", "kernel_id": "82628"}, {"ref": "shreyiitj/aaaa11", "kernel_id": "21138"}, {"ref": "sharankumar/notebook-ae53f24766fefd49d9a5", "kernel_id": "84416"}, {"ref": "sharankumar/notebookb97e59b09c", "kernel_id": "92399"}, {"ref": "sharankumar/titanic", "kernel_id": "92400"}, {"ref": "viswanathravindran/titanic-basic-eda-output", "kernel_id": "215516"}, {"ref": "viswanathravindran/applying-deep-learning-for-titanic", "kernel_id": "244541"}, {"ref": "viswanathravindran/titanic-attempt-trying-with-xgboost", "kernel_id": "242803"}, {"ref": "hamaki/notebook-8eb426d85f1d961c0113", "kernel_id": "25653"}, {"ref": "hamaki/test-test", "kernel_id": "25654"}, {"ref": "hamaki/notebook-2b4fca1d504ba18cee1b", "kernel_id": "25703"}, {"ref": "hamaki/testtest", "kernel_id": "25721"}, {"ref": "hamaki/notebook-2703742e7fbc18ddfeb5", "kernel_id": "25677"}, {"ref": "hamaki/notebook-035c7f369bd11b2d0f03", "kernel_id": "25678"}, {"ref": "hamaki/xxxxxxxxx", "kernel_id": "25679"}, {"ref": "hamaki/lit-ml", "kernel_id": "25681"}, {"ref": "hamaki/lit-svm", "kernel_id": "25660"}, {"ref": "hamaki/notebook-9c1309a448ac5f510aee", "kernel_id": "25661"}, {"ref": "hamaki/lit-svm2", "kernel_id": "25662"}, {"ref": "hamaki/notebook-9e6671bc56ce0cbff2d2", "kernel_id": "25666"}, {"ref": "hamaki/notebook-93aa1fcccd83ada859c9", "kernel_id": "25739"}, {"ref": "hamaki/notebook-33fb2c4ef515b3030028", "kernel_id": "25740"}, {"ref": "hamaki/notebook-6a08ba8f0478c99cd798", "kernel_id": "26058"}, {"ref": "hamaki/notebook-9e5d2d1d86f147f3b3be", "kernel_id": "26052"}, {"ref": "hamaki/notebook-87da1bbf5f1a5187cf86", "kernel_id": "40797"}, {"ref": "jchledowski93/a-journey-through-titanic", "kernel_id": "104860"}, {"ref": "jchledowski93/a-journey-through-titanic-334c5a24", "kernel_id": "104900"}, {"ref": "kapliy/a-journey-through-titanic", "kernel_id": "28930"}, {"ref": "kapliy/notebook-8289b95911d3c636a4e3", "kernel_id": "28931"}, {"ref": "kapliy/titanic-playground", "kernel_id": "28932"}, {"ref": "kapliy/notebook-6a0487f0f8e8c39f498f", "kernel_id": "28936"}, {"ref": "pikkupr/titanic-attempt2", "kernel_id": "265764"}, {"ref": "jamesdavidrobinson/notebook-5f09be6fadb26951791a", "kernel_id": "36875"}, {"ref": "butteronbread/first-model-on-titanic-dataset", "kernel_id": "86615"}, {"ref": "jimmyqiao/titanic-machine-learning-exercise", "kernel_id": "241848"}, {"ref": "mikecui/explore-data", "kernel_id": "221065"}, {"ref": "anuchee/titanicanu1", "kernel_id": "93402"}, {"ref": "chetkhatri/kaggle-first-ipythonnotebook", "kernel_id": "33981"}, {"ref": "akshay15894/notebook-e74e519db582eeb29aed", "kernel_id": "35154"}, {"ref": "akshay15894/akshay", "kernel_id": "35155"}, {"ref": "nit123/titanic-random-forest-82-78", "kernel_id": "188400"}, {"ref": "nit123/titanic-data-science-solutions", "kernel_id": "188396"}, {"ref": "cteant/titanic-with-ensembling-and-stacking", "kernel_id": "195091"}, {"ref": "cteant/notebookb28bb07a74", "kernel_id": "195642"}, {"ref": "cteant/introduction-to-ensembling-stacking-in-python", "kernel_id": "195643"}, {"ref": "cteant/titanic-mechanic-machine-learning", "kernel_id": "157573"}, {"ref": "cteant/notebook292e4ff590", "kernel_id": "157522"}, {"ref": "cteant/notebook7bb7c60fbe", "kernel_id": "157523"}, {"ref": "cteant/titanicexercise", "kernel_id": "157531"}, {"ref": "cteant/a-journey-through-titanic-4a0e058f", "kernel_id": "153831"}, {"ref": "cteant/a-journey-through-titanic", "kernel_id": "137418"}, {"ref": "cteant/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "167867"}, {"ref": "javierfinez/a-journey-through-titanic", "kernel_id": "103209"}, {"ref": "javierfinez/exploring-survival-on-the-titanic", "kernel_id": "103211"}, {"ref": "larryzh08/footest", "kernel_id": "127159"}, {"ref": "emanuelsygal/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "169921"}, {"ref": "test001/myxgboost-tutorial", "kernel_id": "77224"}, {"ref": "test001/notebook-3c07cfcc387529e8abc6", "kernel_id": "77227"}, {"ref": "test001/notebook-9f1748d2e632ef15c6c3", "kernel_id": "37322"}, {"ref": "test001/a-journey-through-titanic", "kernel_id": "61962"}, {"ref": "karanb94/basic-model-using-pandas-and-sklearn", "kernel_id": "100545"}, {"ref": "karanb94/notebook7bb24f95b4", "kernel_id": "239319"}, {"ref": "jabeer/notebook724c8ef73d", "kernel_id": "158691"}, {"ref": "carande/notebook-457762dc0f3076d23088", "kernel_id": "71504"}, {"ref": "romainvincent/notebook18630dd5e2", "kernel_id": "133445"}, {"ref": "quang123/notebook-for-data-science-training-2016-axa", "kernel_id": "110260"}, {"ref": "quang123/a-journey-through-titanic", "kernel_id": "110820"}, {"ref": "markma/123456", "kernel_id": "28347"}, {"ref": "gcouti/i-am-titanic", "kernel_id": "84174"}, {"ref": "keyshin/randomforest-method-v1-0", "kernel_id": "59749"}, {"ref": "dsrkie/this-is-a-random-forest-implementation", "kernel_id": "10204"}, {"ref": "popoola/basic-model-using-pandas-and-sklearn", "kernel_id": "101751"}, {"ref": "popoola/exploratory-tutorial-titanic", "kernel_id": "107108"}, {"ref": "wyq136/kaggle", "kernel_id": "227305"}, {"ref": "wyq136/mytest-1", "kernel_id": "227295"}, {"ref": "wyq136/notebookea9423db6f", "kernel_id": "227300"}, {"ref": "antonigno/a-journey-through-titanic", "kernel_id": "192091"}, {"ref": "andeeleo/tantantan-v1-0", "kernel_id": "36989"}, {"ref": "marathon54/titanic-check-1", "kernel_id": "22349"}, {"ref": "manoded10s/titanic", "kernel_id": "59640"}, {"ref": "egma00/understanding-the-data", "kernel_id": "525426"}, {"ref": "vigneshdhanabal/notebook8a4c5a6171", "kernel_id": "91345"}, {"ref": "rmpeake3/a-journey-through-titanic", "kernel_id": "40445"}, {"ref": "zhengchao/titanic", "kernel_id": "18328"}, {"ref": "doobopp/notebookf12c8e10c2", "kernel_id": "253257"}, {"ref": "ribery77/a-journey-through-titanic", "kernel_id": "110334"}, {"ref": "srini2446/first-code", "kernel_id": "18646"}, {"ref": "gpapadop79/a-journey-through-titanic", "kernel_id": "29400"}, {"ref": "markharper/exploratory-tutorial-titanic", "kernel_id": "110873"}, {"ref": "rhoslug/logistic-model", "kernel_id": "7352"}, {"ref": "nanu146/a-journey-through-titanic", "kernel_id": "158554"}, {"ref": "nanu146/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "175798"}, {"ref": "ishita12/titanic-data-science-solutions-ecd6891f", "kernel_id": "150484"}, {"ref": "sdimig/titanic", "kernel_id": "188373"}, {"ref": "sdimig/notebook338698b40d", "kernel_id": "188813"}, {"ref": "vancyw/a-journey-through-titanic-d1224be1", "kernel_id": "130912"}, {"ref": "vancyw/notebookdc26459c89", "kernel_id": "129344"}, {"ref": "ashutosha/notebookc78131973d", "kernel_id": "271204"}, {"ref": "arpangupta87/preliminary-exploration", "kernel_id": "73045"}, {"ref": "denorma/abcde", "kernel_id": "8722"}, {"ref": "zllake/test-py", "kernel_id": "7469"}, {"ref": "benbrahim777/titanic-data-notebook", "kernel_id": "152182"}, {"ref": "preritsaxena/ml-basics-on-titanic-data", "kernel_id": "700718"}, {"ref": "preritsaxena/cart-and-rf-with-pre-processing", "kernel_id": "702438"}, {"ref": "preritsaxena/fork-of-ml-basics-on-titanic-data", "kernel_id": "705303"}, {"ref": "alexleut/a-journey-through-titanic", "kernel_id": "147072"}, {"ref": "sonaam1234/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "162695"}, {"ref": "sonaam1234/mdoel", "kernel_id": "162745"}, {"ref": "jaimehp/titanic-s-survival", "kernel_id": "86450"}, {"ref": "zhouyi06/test-titanic", "kernel_id": "10898"}, {"ref": "iyerashwathi/notebook54f205e8bd", "kernel_id": "274753"}, {"ref": "iyerashwathi/notebooka23477d4fb", "kernel_id": "274741"}, {"ref": "mhamano/titanic-r-script", "kernel_id": "390371"}, {"ref": "arupkamal/titanic", "kernel_id": "205617"}, {"ref": "granit/notebook5f944eb4cb", "kernel_id": "136052"}, {"ref": "granit/fork-of-notebook5f944eb4cb", "kernel_id": "193152"}, {"ref": "mayankdehgal94/installed-python-packages", "kernel_id": "12478"}, {"ref": "kusuma1294/titanic-baseline-models-analyticsdojo", "kernel_id": "99520"}, {"ref": "issouluch/notebookf785ce7d61", "kernel_id": "198410"}, {"ref": "vedashreegowda/vxg142830veda", "kernel_id": "80534"}, {"ref": "izderadicka/test-random-forest-perf-with-cv-data", "kernel_id": "13916"}, {"ref": "johngunawan/exploring-survival-on-the-titanic", "kernel_id": "271575"}, {"ref": "ttobias/a-journey-through-titanic", "kernel_id": "124525"}, {"ref": "ttobias/a-journey-through-titanic-352539d3", "kernel_id": "124546"}, {"ref": "xophe92/visualisation-of-nn-model-perf-rmd", "kernel_id": "9963"}, {"ref": "xophe92/visualisation-of-nn-model-performance", "kernel_id": "8628"}, {"ref": "sandippatil/titanic", "kernel_id": "375546"}, {"ref": "yildirimarda/a-journey-through-titanic", "kernel_id": "31557"}, {"ref": "yildirimarda/titanic-test2", "kernel_id": "8119"}, {"ref": "yildirimarda/titanic-test1", "kernel_id": "7967"}, {"ref": "yildirimarda/random-forest-visualisation-submission", "kernel_id": "10622"}, {"ref": "yildirimarda/decision-tree-visualization-submission", "kernel_id": "8683"}, {"ref": "yildirimarda/naive-bayes-visualization-and-submission", "kernel_id": "11257"}, {"ref": "yildirimarda/installed-python-packages", "kernel_id": "104896"}, {"ref": "aasthaverma/testing", "kernel_id": "23061"}, {"ref": "captcalculator/logistic-regression-and-roc-curve-primer", "kernel_id": "378934"}, {"ref": "kublakhan/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "156824"}, {"ref": "raghamec/titanic-raghav", "kernel_id": "145022"}, {"ref": "raghamec/titanic-r-raghav", "kernel_id": "145024"}, {"ref": "gnujoow/notebook-090fe7404fac6114525d", "kernel_id": "33773"}, {"ref": "kaloyannikov/notebook-2c2706773b8bf937d798", "kernel_id": "37136"}, {"ref": "kaloyannikov/titanic-script-test", "kernel_id": "37137"}, {"ref": "harphajan/a-journey-through-titanic-88ef3346", "kernel_id": "181856"}, {"ref": "silviomoreto/notebookc47969c92d", "kernel_id": "260840"}, {"ref": "violinbeats/notebook-6b10e5bd6116bb53c231", "kernel_id": "25359"}, {"ref": "ramgathreya/a-journey-through-titanic", "kernel_id": "185654"}, {"ref": "nishank/randomforestclassifier-0-854748603352", "kernel_id": "506367"}, {"ref": "wenqinye/my-first-kaggle", "kernel_id": "93732"}, {"ref": "menkeleev/python-seaborn-pairplot-example", "kernel_id": "10239"}, {"ref": "nicolaerosca/notebook5d0395ec6e", "kernel_id": "266531"}, {"ref": "samhithachalla/titanic-survivors-v2", "kernel_id": "199242"}, {"ref": "samhithachalla/titanic-survivors", "kernel_id": "199204"}, {"ref": "samhithachalla/notebookdc62b4dab1", "kernel_id": "148638"}, {"ref": "samhithachalla/notebookf573b9b3d9", "kernel_id": "148646"}, {"ref": "samhithachalla/titanic-problem-trial-1", "kernel_id": "148254"}, {"ref": "samhithachalla/notebookc455eed8d6", "kernel_id": "173179"}, {"ref": "samhithachalla/notebooke28d9c5715", "kernel_id": "170995"}, {"ref": "samhithachalla/notebook4cc5dd15d6", "kernel_id": "175664"}, {"ref": "samhithachalla/notebookcc08649f8a", "kernel_id": "174804"}, {"ref": "oussamaahmia/testt", "kernel_id": "48758"}, {"ref": "drsaupton/learning-kaggle", "kernel_id": "252364"}, {"ref": "drsaupton/first-notebook-just-learning", "kernel_id": "252359"}, {"ref": "samhashmi/notebookbe4df86823", "kernel_id": "89539"}, {"ref": "frankxiao/notebook4df7133295", "kernel_id": "223312"}, {"ref": "frankxiao/notebook1ab946527d", "kernel_id": "223295"}, {"ref": "celiasiu/notebook71f8901c49", "kernel_id": "195592"}, {"ref": "celiasiu/titanic-how-many-factor-levels", "kernel_id": "195593"}, {"ref": "celiasiu/notebook706b2c6db4", "kernel_id": "195375"}, {"ref": "celiasiu/notebooka6984cb9e4", "kernel_id": "195383"}, {"ref": "abaskm/a-journey-through-titanic-462933f3", "kernel_id": "150132"}, {"ref": "abaskm/mastering-the-basics-on-the-rms-titanic", "kernel_id": "150135"}, {"ref": "abaskm/a-journey-through-titanic", "kernel_id": "150100"}, {"ref": "chrisreichel/random-forest-benchmark-r", "kernel_id": "8211"}, {"ref": "hechaohui/notebook-91e8d19051cf73f6772d", "kernel_id": "47576"}, {"ref": "jessegu/notebook5747ef10b3", "kernel_id": "95107"}, {"ref": "djonafegnem/titanic-eda", "kernel_id": "363236"}, {"ref": "linls1912/titanic-randomforrest-v1-2", "kernel_id": "8231"}, {"ref": "jainayush/try-1", "kernel_id": "96540"}, {"ref": "jainayush/try-2", "kernel_id": "96542"}, {"ref": "nels2248/exploratory-tutorial-titanic", "kernel_id": "108670"}, {"ref": "jinchieh/a-journey-through-titanic", "kernel_id": "104668"}, {"ref": "alobad/notebook7f9a37bb4d", "kernel_id": "213929"}, {"ref": "marvaniamehul/notebookdc04e33c58", "kernel_id": "115082"}, {"ref": "antrix/sample-classifier", "kernel_id": "202293"}, {"ref": "vadimmalykh/test-for-titanic", "kernel_id": "20231"}, {"ref": "vadimmalykh/random-forest-for-titanic", "kernel_id": "26615"}, {"ref": "vadimmalykh/random-forest-with-cv-for-titanic", "kernel_id": "26810"}, {"ref": "bizkar/a-journey-through-titanic", "kernel_id": "40549"}, {"ref": "bizkar/notebook-74894d6c4ff5963a55c5", "kernel_id": "40567"}, {"ref": "zyf873753/notebook86f35fb184", "kernel_id": "209742"}, {"ref": "zyf873753/introduction-to-ensembling-stacking-in-pyth-54530f", "kernel_id": "209735"}, {"ref": "zyf873753/notebook9324d874bb", "kernel_id": "209740"}, {"ref": "rajat1995/titanic-data-science-solutions", "kernel_id": "316302"}, {"ref": "rookielab/notebook685edabf6f", "kernel_id": "115570"}, {"ref": "little7/titanic-data-science-solutions", "kernel_id": "205392"}, {"ref": "kibretzb/notebookd5ee305a4f", "kernel_id": "206346"}, {"ref": "kibretzb/titanic-data-science-solutions", "kernel_id": "206348"}, {"ref": "debasis123/a-journey-through-titanic", "kernel_id": "100269"}, {"ref": "cobraimovic/i-will-survive", "kernel_id": "37444"}, {"ref": "russellbywaters/notebookcd7562d4a4", "kernel_id": "111724"}, {"ref": "potentialwjy/test001", "kernel_id": "100237"}, {"ref": "atabarezz/aa123456", "kernel_id": "8707"}, {"ref": "acasce/notebook-2b9c5c2440b02b5bca8a", "kernel_id": "56465"}, {"ref": "unlikelybutpossible/scratch22", "kernel_id": "174152"}, {"ref": "unlikelybutpossible/scratch2", "kernel_id": "157463"}, {"ref": "unlikelybutpossible/surviving-random-forest-and-logistic-regression", "kernel_id": "157270"}, {"ref": "unlikelybutpossible/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "153380"}, {"ref": "unlikelybutpossible/notebook2948dbb863", "kernel_id": "156114"}, {"ref": "unlikelybutpossible/scratch1", "kernel_id": "156043"}, {"ref": "unlikelybutpossible/introduction-to-ensembling-stacking-in-pyth-25ffe4", "kernel_id": "188742"}, {"ref": "unlikelybutpossible/introduction-to-ensembling-stacking-in-pyth-9a798d", "kernel_id": "188743"}, {"ref": "unlikelybutpossible/introduction-to-ensembling-stacking-in-pyth-3f18c8", "kernel_id": "188691"}, {"ref": "unlikelybutpossible/introduction-to-ensembling-stacking-in-python", "kernel_id": "187885"}, {"ref": "unlikelybutpossible/introduction-to-ensembling-stacking-in-pyth-e5900b", "kernel_id": "191915"}, {"ref": "unlikelybutpossible/randomforest-leaderboard-0-8134", "kernel_id": "204160"}, {"ref": "unlikelybutpossible/genetic-programming-lb-0-88", "kernel_id": "204194"}, {"ref": "unlikelybutpossible/logistic", "kernel_id": "227861"}, {"ref": "unlikelybutpossible/stacking-the-titanic-simple-1-level-lb-0-799", "kernel_id": "227698"}, {"ref": "mashimo/a-very-simple-logistic-regression-model", "kernel_id": "802531"}, {"ref": "edwardcooper/notebook96ccc4b618", "kernel_id": "203186"}, {"ref": "iangrotton/a-journey-through-titanic", "kernel_id": "139255"}, {"ref": "ptc24k/notebook7442a34659", "kernel_id": "233688"}, {"ref": "ptc24k/thisisatest", "kernel_id": "233693"}, {"ref": "gcasier/titanic-tutorial", "kernel_id": "278757"}, {"ref": "mohini/random-forest-benchmark-r", "kernel_id": "9913"}, {"ref": "frangarnopflectar/introduction-to-ensembling-stacking-in-python", "kernel_id": "188645"}, {"ref": "rajnehra123/a-journey-through-titanic", "kernel_id": "175347"}, {"ref": "rajnehra123/first-kaggle", "kernel_id": "175319"}, {"ref": "pemim85/temp-py", "kernel_id": "164745"}, {"ref": "ewarest/1st-titanic-attempt", "kernel_id": "222296"}, {"ref": "kunwarshivam/notebookb0d4e99174", "kernel_id": "97229"}, {"ref": "maheshps/notebook-f3f35f6aece68a63a863", "kernel_id": "52935"}, {"ref": "mmc2015/notebook28d6d07cb3", "kernel_id": "86808"}, {"ref": "emmap21/a-journey-through-titanic", "kernel_id": "30675"}, {"ref": "emmap21/notebook-ba28e90cf681fe52c457", "kernel_id": "30676"}, {"ref": "mikeair/titanic-nn-bruteforce", "kernel_id": "108428"}, {"ref": "deneb84/test-titanic", "kernel_id": "221358"}, {"ref": "sitworld/decision-tree-visualization-submission", "kernel_id": "38396"}, {"ref": "davidcb/partial-dependence-plots", "kernel_id": "962453"}, {"ref": "rohitkpr/notebook8917eaddad", "kernel_id": "230196"}, {"ref": "markneville/notebooke6f7940d60", "kernel_id": "109666"}, {"ref": "markneville/a-journey-through-titanic", "kernel_id": "96414"}, {"ref": "slaondata/notebook-000a66e99fffe039d92b", "kernel_id": "32233"}, {"ref": "syedaamir/titanic", "kernel_id": "18636"}, {"ref": "jacobjm/notebooka2971f7164", "kernel_id": "255001"}, {"ref": "maviator/top-32-with-simple-sklearn-models", "kernel_id": "459352"}, {"ref": "maviator/data-exploration-and-sklearn-models", "kernel_id": "355118"}, {"ref": "vishallakha/oscar-wala-actor", "kernel_id": "90540"}, {"ref": "mwongkee/test1", "kernel_id": "10334"}, {"ref": "jonmichaels/testtitanic", "kernel_id": "10358"}, {"ref": "evbettor/gender-test", "kernel_id": "13524"}, {"ref": "cheunglf/fanny", "kernel_id": "100399"}, {"ref": "cheunglf/notebook6a0bfd2fa8", "kernel_id": "100407"}, {"ref": "cheunglf/notebookc8c6f0de2c", "kernel_id": "100408"}, {"ref": "cheunglf/notebookb7a431c009", "kernel_id": "130866"}, {"ref": "casuru/notebook9bec30bc4f", "kernel_id": "123029"}, {"ref": "casuru/notebook-b4773e69173f78009a65", "kernel_id": "51886"}, {"ref": "nachiketmp/notebookf5ff372a6d", "kernel_id": "216834"}, {"ref": "helga1192/a-journey-through-titanic", "kernel_id": "178429"}, {"ref": "javoros/pprueba1", "kernel_id": "24028"}, {"ref": "appanacca/titanic-data-science-solutions", "kernel_id": "263069"}, {"ref": "wenruliu/a-journey-through-titanic", "kernel_id": "102210"}, {"ref": "madhulika189/titanicsurvival-gender-based-model", "kernel_id": "18081"}, {"ref": "salman143/a-journey-through-titanic", "kernel_id": "121566"}, {"ref": "enriquesantos/a-journey-through-titanic", "kernel_id": "34380"}, {"ref": "jethard/a-journey-through-titanic", "kernel_id": "89430"}, {"ref": "gabovailati/notebook-81dc71fe962b77fb8ddc", "kernel_id": "34597"}, {"ref": "jmulholland/a-journey-through-titanic", "kernel_id": "184842"}, {"ref": "ipaqpaq/an-interactive-data-science-tutorial-4481f8", "kernel_id": "227529"}, {"ref": "yanjun/titanic-logistic-regression", "kernel_id": "11566"}, {"ref": "cswiercz/titanic-first-neural-network-approach", "kernel_id": "100521"}, {"ref": "dlajeunesse/notebookb63fe519a1", "kernel_id": "142416"}, {"ref": "wewuyi/a-journey-through-titanic", "kernel_id": "97352"}, {"ref": "noob00/a-journey-through-titanic", "kernel_id": "27721"}, {"ref": "anshmania/notebookce05110512", "kernel_id": "210566"}, {"ref": "sigrist/my-first-test", "kernel_id": "117145"}, {"ref": "bigbright/notebook-4758138fdbacf1e682a9", "kernel_id": "26995"}, {"ref": "bigbright/notebook-bbe41e8a3b7e970b9546", "kernel_id": "26998"}, {"ref": "namrog84/adamtitantic1", "kernel_id": "12997"}, {"ref": "adityamangal410/titanic-ml", "kernel_id": "232583"}, {"ref": "vinicius/a-journey-through-titanic", "kernel_id": "95086"}, {"ref": "dkaushik/notebook399dddb266", "kernel_id": "267031"}, {"ref": "breakdark/notebook1968dca914", "kernel_id": "343371"}, {"ref": "tayidat/mosaicplot", "kernel_id": "17688"}, {"ref": "tayidat/test1", "kernel_id": "17170"}, {"ref": "fedeisas/notebookd4621b540f", "kernel_id": "110123"}, {"ref": "akshaykumarj/a-journey-through-titanic", "kernel_id": "169341"}, {"ref": "amthorp/notebooka891cf6a91", "kernel_id": "252716"}, {"ref": "mahakmnit/notebookb18dfef748", "kernel_id": "361440"}, {"ref": "mahakmnit/mahak", "kernel_id": "18715"}, {"ref": "kelngar/first-kaggle-submission", "kernel_id": "11790"}, {"ref": "sealevel/a-journey-through-titanic", "kernel_id": "177015"}, {"ref": "navdeeppal/unraveling-survival-on-titanic-through-science", "kernel_id": "364779"}, {"ref": "kmotone/notebook-1cee99f50d863c4791d7", "kernel_id": "33736"}, {"ref": "kmotone/notebook-6a23c782aa052988144a", "kernel_id": "33739"}, {"ref": "kmotone/lit-mlcode", "kernel_id": "33742"}, {"ref": "kmotone/lit-ml", "kernel_id": "33677"}, {"ref": "kmotone/notebook-f7c63eec6dd250221fc3", "kernel_id": "33697"}, {"ref": "kmotone/notebook-957c01843dfa0ea967a4", "kernel_id": "33707"}, {"ref": "kmotone/notebook-912e47e1869607639355", "kernel_id": "33716"}, {"ref": "kmotone/notebook-a413dbf5f73f56c4543c", "kernel_id": "33725"}, {"ref": "dc4data/notebook-163a9d9d7af1a7d1d270", "kernel_id": "48790"}, {"ref": "dc4data/titanic-dc", "kernel_id": "128016"}, {"ref": "dc4data/fork-of-python-by-dc", "kernel_id": "127950"}, {"ref": "dc4data/notebooka7fbb7b03c", "kernel_id": "127907"}, {"ref": "dc4data/notebook24ba1b2657", "kernel_id": "127882"}, {"ref": "dc4data/titanic-by-dc", "kernel_id": "127884"}, {"ref": "dc4data/pandas-titanic", "kernel_id": "130256"}, {"ref": "dc4data/notebook8dddecdfa7", "kernel_id": "130277"}, {"ref": "dc4data/pandas-random-forest-experiment-titanic", "kernel_id": "130281"}, {"ref": "dc4data/notebook3159d3c898", "kernel_id": "115506"}, {"ref": "dc4data/notebookc8b326b04b", "kernel_id": "109283"}, {"ref": "dc4data/notebook155c3e8c32", "kernel_id": "97481"}, {"ref": "prashu123/knn-classifier-model-for-titanic", "kernel_id": "702349"}, {"ref": "kecksdose/exploratory-tutorial-titanic", "kernel_id": "109346"}, {"ref": "tahir1053/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "233216"}, {"ref": "yingliang/first-forest", "kernel_id": "12628"}, {"ref": "jlagunag/notebook3f2f322d04", "kernel_id": "178996"}, {"ref": "jwstone/my-first-kaggle-script-titanic-r", "kernel_id": "11656"}, {"ref": "nishanth478/notebook-21a7e5ab4bd46ffb2f49", "kernel_id": "49180"}, {"ref": "fernandoramacciotti/ocean-data-science", "kernel_id": "375204"}, {"ref": "ajaychat3/cabin-position-may-affect-survival", "kernel_id": "12455"}, {"ref": "tomek87/titanic", "kernel_id": "105370"}, {"ref": "shubvyas/notebookd64ab71fb9", "kernel_id": "110917"}, {"ref": "shubvyas/exploratory-tutorial-titanic", "kernel_id": "127825"}, {"ref": "shubvyas/titanic-best-working-classifier", "kernel_id": "138353"}, {"ref": "vispra/titanic1", "kernel_id": "90047"}, {"ref": "modestyao/sink-or-survive", "kernel_id": "137365"}, {"ref": "modestyao/sink-or-survive-decc3724", "kernel_id": "137368"}, {"ref": "linhnguyenle/notebookc9f8d3beab", "kernel_id": "109039"}, {"ref": "alwortman/titanic-test-script", "kernel_id": "12183"}, {"ref": "lfgomez/data-exploration-inm-pt-br", "kernel_id": "355802"}, {"ref": "danielprieto/titanic-prediction-analysis", "kernel_id": "47422"}, {"ref": "sanjeevpuri/notebook-6529f9a70c9bb403234b", "kernel_id": "67727"}, {"ref": "camdenclark/testing-1", "kernel_id": "23980"}, {"ref": "henohenotsuyoshi/notebook2300d39592", "kernel_id": "112526"}, {"ref": "lekaha/a-journey-through-titanic-384383", "kernel_id": "246657"}, {"ref": "meetyourmaker/notebook74a6df4715", "kernel_id": "226385"}, {"ref": "gunter24/a-journey-through-titanic", "kernel_id": "92203"}, {"ref": "sleepyliu/titanic", "kernel_id": "57949"}, {"ref": "frawzey/a-journey-through-titanic", "kernel_id": "186312"}, {"ref": "oleksiibieliaiev/notebookd8f14158d8", "kernel_id": "105050"}, {"ref": "mrchill/mmmmmm", "kernel_id": "108192"}, {"ref": "pawelrak/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "171816"}, {"ref": "pawelrak/notebookd707443226", "kernel_id": "171817"}, {"ref": "mayukhgoswami/notebook6ba9c74b43", "kernel_id": "246680"}, {"ref": "ddtt4u/titanic-ensemble-voting-lambda-expressions", "kernel_id": "156205"}, {"ref": "yoyomanyoyo/test2", "kernel_id": "12561"}, {"ref": "wagamama/titanic-data-science-solutions", "kernel_id": "248411"}, {"ref": "niketim/a-journey-through-titanic", "kernel_id": "124233"}, {"ref": "gildas/a-journey-through-titanic", "kernel_id": "121299"}, {"ref": "bmathew/notebook-c2952628e1c9cc3b7066", "kernel_id": "31230"}, {"ref": "idozeh/a-journey-through-titanic", "kernel_id": "45098"}, {"ref": "northz/a-journey-through-titanic-a7e1323d", "kernel_id": "95635"}, {"ref": "northz/a-journey-through-titanic", "kernel_id": "95518"}, {"ref": "einarbui/benchmarking-random-forests", "kernel_id": "13210"}, {"ref": "arumaikani/xgboost-example-python", "kernel_id": "12499"}, {"ref": "feifeng/notebook-af72add0cc7e85b3904d", "kernel_id": "45381"}, {"ref": "feifeng/notebook-f68b1c6232f717f5b0af", "kernel_id": "45345"}, {"ref": "feifeng/notebook-fc526f22ae1472a1dcb5", "kernel_id": "45346"}, {"ref": "windell495/notebook6f6b5d4323", "kernel_id": "181177"}, {"ref": "timato/titanicmodel", "kernel_id": "163000"}, {"ref": "timato/test1", "kernel_id": "163003"}, {"ref": "vinaymarpina/notebook840ebe30bd", "kernel_id": "213592"}, {"ref": "sarbanes/notebookc77a2a9a37", "kernel_id": "219379"}, {"ref": "pjoshi15/testing", "kernel_id": "28200"}, {"ref": "swatyk/notebooka974a77535", "kernel_id": "105379"}, {"ref": "bijay81/titanic", "kernel_id": "73791"}, {"ref": "quevedin/notebook-1d12c3976fc298d8240a", "kernel_id": "50071"}, {"ref": "ivanova/titanic-my-first-attempt", "kernel_id": "178968"}, {"ref": "leonardo711/python-seaborn-pairplot-example", "kernel_id": "15917"}, {"ref": "leonardo711/test1", "kernel_id": "15918"}, {"ref": "metjush/titanic-test", "kernel_id": "17205"}, {"ref": "xiiicyw/xgboost-0-79909", "kernel_id": "87061"}, {"ref": "xiiicyw/xgboost-example-accuracy-0-79909", "kernel_id": "87064"}, {"ref": "xiiicyw/notebooka4ca603552", "kernel_id": "87065"}, {"ref": "xiiicyw/xgboost-example", "kernel_id": "87067"}, {"ref": "binback/a-journey-through-titanic", "kernel_id": "90418"}, {"ref": "valdes/a-journey-through-titanic", "kernel_id": "169040"}, {"ref": "rutledge/surviving-the-titanic-endeavor-of-warming-up", "kernel_id": "129564"}, {"ref": "rutledge/testing", "kernel_id": "132348"}, {"ref": "christinequan1/titanic", "kernel_id": "29169"}, {"ref": "rleenstra/ronald-test", "kernel_id": "155012"}, {"ref": "thallium/a-journey-through-titanic", "kernel_id": "199354"}, {"ref": "keetus89/titanic", "kernel_id": "61140"}, {"ref": "mstoepel/notebooka1872a9116", "kernel_id": "374738"}, {"ref": "mweirath/notebook775b5fa1df", "kernel_id": "200896"}, {"ref": "mweirath/notebooke9cf3920c7", "kernel_id": "204011"}, {"ref": "mweirath/fork-of-test-workbook-for-titantic-dataset", "kernel_id": "225243"}, {"ref": "mweirath/test-workbook-for-titantic-dataset", "kernel_id": "209113"}, {"ref": "vrsanaidu9/notebook5c50fd179a", "kernel_id": "252321"}, {"ref": "ywfscu/testx", "kernel_id": "15675"}, {"ref": "amommendes/a-journey-through-titanic", "kernel_id": "164711"}, {"ref": "nipunsadvilkar/notebook-4000e8780917b8a55368", "kernel_id": "52147"}, {"ref": "bakman329/notebookffa1b07ee9", "kernel_id": "125341"}, {"ref": "benedictes/exploring-1", "kernel_id": "16362"}, {"ref": "mmssddss/222222", "kernel_id": "237317"}, {"ref": "mmssddss/notebook2fe74ec0a5", "kernel_id": "237318"}, {"ref": "mmssddss/notebook263e872060", "kernel_id": "249758"}, {"ref": "zoegreen/notebook-64ac73edd107629daf8e", "kernel_id": "34854"}, {"ref": "zoegreen/zoe-s-commit-of-titanic-problem", "kernel_id": "34857"}, {"ref": "zoegreen/notebook-c2561c3a9d6b7b8a13a7", "kernel_id": "44767"}, {"ref": "debanjana09/titanic-data-science-solutions", "kernel_id": "234861"}, {"ref": "kirbycircle/titanicinr", "kernel_id": "32281"}, {"ref": "janpreets/notebook77f5a23422", "kernel_id": "249368"}, {"ref": "janpreets/notebook702bd8a739", "kernel_id": "249369"}, {"ref": "divijwadhawan/notebookf10055ecba", "kernel_id": "156500"}, {"ref": "datadick/notebook-13c9b31fa87f04097965", "kernel_id": "30259"}, {"ref": "datadick/djg-test", "kernel_id": "30260"}, {"ref": "vedavyas/machinelearning", "kernel_id": "13275"}, {"ref": "fhlgood/glm-model2", "kernel_id": "40888"}, {"ref": "fhlgood/notebook-ed5aa549ba77828cde58", "kernel_id": "40651"}, {"ref": "fhlgood/glm-titanic", "kernel_id": "39474"}, {"ref": "pushetty/machine-learning-presentation", "kernel_id": "249934"}, {"ref": "cleytonmessias/notebook-00fc42ad08024378963b", "kernel_id": "31950"}, {"ref": "cleytonmessias/titanic-notebook", "kernel_id": "31951"}, {"ref": "wittykitty/a-journey-through-titanic", "kernel_id": "121774"}, {"ref": "wittykitty/notebookbcac420828", "kernel_id": "122268"}, {"ref": "ppr122/a-journey-through-titanic", "kernel_id": "98756"}, {"ref": "upperbounder/trial-with-titanic-data-on-kaggle", "kernel_id": "175606"}, {"ref": "lkaigorodova/a-journey-through-titanic", "kernel_id": "166992"}, {"ref": "lkaigorodova/a-journey-through-titanic-baf26d84", "kernel_id": "166997"}, {"ref": "wilbertdebie/titanic-data-science-solutions", "kernel_id": "235855"}, {"ref": "ovikch/notebook-0386afbd5b2ef80120cf", "kernel_id": "27776"}, {"ref": "gsfamily/notebook-61bff808d7334927959a", "kernel_id": "23608"}, {"ref": "shrikeler/notebook-0957edc6d8c363686b64", "kernel_id": "32606"}, {"ref": "amitminj10/titanic", "kernel_id": "17777"}, {"ref": "lyonneu/arsen-s", "kernel_id": "98675"}, {"ref": "lyonneu/a-journey-through-titanic", "kernel_id": "98489"}, {"ref": "kakashimon/notebook3c69724d34", "kernel_id": "100752"}, {"ref": "binbuom/exploratory-tutorial-titanic", "kernel_id": "109253"}, {"ref": "kuznets/notebook8c0e630df4", "kernel_id": "99873"}, {"ref": "amramjoshi/introduction-to-ensembling-stacking-in-python", "kernel_id": "257845"}, {"ref": "madfox/madfox-1st-try", "kernel_id": "14469"}, {"ref": "madfox/python-seaborn-pairplot-example1", "kernel_id": "14472"}, {"ref": "imadsalimi/notebook07e56d0783", "kernel_id": "150239"}, {"ref": "imadsalimi/learning-pandas", "kernel_id": "150906"}, {"ref": "savannahp/notebook-9f7b3b2dd28c23676acf", "kernel_id": "23581"}, {"ref": "jaming/notebook-7262674d14f5353954da", "kernel_id": "59710"}, {"ref": "jaming/notebook-6557fb20288716923562", "kernel_id": "59713"}, {"ref": "yangfengzzz/introduction-to-ensembling-stacking-in-python", "kernel_id": "200344"}, {"ref": "matloo/titanic", "kernel_id": "13674"}, {"ref": "anishratnawat/titanic-python", "kernel_id": "270627"}, {"ref": "shubhz007/titanic-ship-dataset-analysis", "kernel_id": "203053"}, {"ref": "gowthamfrank/titanic-logistic-regression", "kernel_id": "13821"}, {"ref": "aleggitt/notebook-8eb76b12fedbcec23c46", "kernel_id": "79254"}, {"ref": "aleggitt/notebooke2f7f7963a", "kernel_id": "98885"}, {"ref": "aleggitt/notebook-0baa93a20a781a1250d2", "kernel_id": "23667"}, {"ref": "marceloamancio/a-journey-through-titanic", "kernel_id": "44952"}, {"ref": "chandan2495/a-journey-through-titanic", "kernel_id": "115995"}, {"ref": "samirfarooq/samir-s-test-kernal", "kernel_id": "96604"}, {"ref": "sunilkumarpotnuru/notebookde94b2b8cf", "kernel_id": "90839"}, {"ref": "sandeep1978/notebook-4408c2a1e53b5c0b01c4", "kernel_id": "30355"}, {"ref": "cblockiitr/titanic-data-model", "kernel_id": "94072"}, {"ref": "stgiles/a-journey-through-titanic", "kernel_id": "99903"}, {"ref": "venkadeshwarank/notebook-9b3157d7beb537278666", "kernel_id": "47446"}, {"ref": "zhangqinglin/notebook-beb4ed5f516d93929550", "kernel_id": "20429"}, {"ref": "pbhosale/titanic", "kernel_id": "141489"}, {"ref": "pbhosale/notebook74220887b1", "kernel_id": "139458"}, {"ref": "anushriyapal/r-trial-titanic", "kernel_id": "68494"}, {"ref": "sosenthilkumar/notebook-08a9c417f7262b27e514", "kernel_id": "68977"}, {"ref": "rpalsaxena/titanic-eda", "kernel_id": "116404"}, {"ref": "asalvati/cabin-position-may-affect-survival", "kernel_id": "14664"}, {"ref": "kaushalshetty/titanic-prediction", "kernel_id": "174836"}, {"ref": "kaushalshetty/a-journey-through-titanic", "kernel_id": "173953"}, {"ref": "kaushalshetty/notebookbffeeb027b", "kernel_id": "173956"}, {"ref": "beletecheneke/a-journey-through-titanic", "kernel_id": "166630"}, {"ref": "wufan0920/titanictest", "kernel_id": "93340"}, {"ref": "hawkcoder/test1-1", "kernel_id": "14752"}, {"ref": "djvulee/a-journey-through-titanic", "kernel_id": "55821"}, {"ref": "djvulee/notebook-6f46f8931a5df4358d5c", "kernel_id": "56497"}, {"ref": "juanlopez/titanic-first-submission", "kernel_id": "105246"}, {"ref": "priyaragavi/notebook-0e2b76e286928fa91575", "kernel_id": "33791"}, {"ref": "kruan8/titanic", "kernel_id": "41556"}, {"ref": "kruan8/notebook8ed11810bf", "kernel_id": "266650"}, {"ref": "keerthip/logistic-regression-first-kernel", "kernel_id": "106487"}, {"ref": "yugan2005/data-explore", "kernel_id": "24897"}, {"ref": "yugan2005/notebook98f5b00ce2", "kernel_id": "220803"}, {"ref": "cdo03c/notebook-a879c4e356d88c56f32a", "kernel_id": "24672"}, {"ref": "buujunyip/notebooke742c935d1", "kernel_id": "96229"}, {"ref": "buujunyip/rubish", "kernel_id": "96230"}, {"ref": "venky606/introduction-to-ensembling-stacking-in-python", "kernel_id": "188570"}, {"ref": "muditrastogi/notebookf07a156e79", "kernel_id": "249944"}, {"ref": "kousukekikuchi/notebook-1d578bb796b5ce845828", "kernel_id": "39804"}, {"ref": "kousukekikuchi/testabc", "kernel_id": "39805"}, {"ref": "kousukekikuchi/logistic-regression", "kernel_id": "39814"}, {"ref": "kousukekikuchi/anyway-test", "kernel_id": "39539"}, {"ref": "nickzylove/ensemble-for-titanic", "kernel_id": "445147"}, {"ref": "amolnayak/titanic-survival-analysis", "kernel_id": "308485"}, {"ref": "sshuair/notebook64b76ae039", "kernel_id": "119607"}, {"ref": "juliew/test1", "kernel_id": "14873"}, {"ref": "zpin21/test-python", "kernel_id": "57699"}, {"ref": "aviksagi/kaggle-titanic-001", "kernel_id": "23203"}, {"ref": "mukundranjan/notebook190d4ac020", "kernel_id": "209645"}, {"ref": "mukundranjan/notebook16a7978c2a", "kernel_id": "229809"}, {"ref": "mukundranjan/notebook0b075a5919", "kernel_id": "229813"}, {"ref": "seichis/notebookd77949c496", "kernel_id": "104615"}, {"ref": "manatee/notebook-40493fbe641b81f47328", "kernel_id": "38163"}, {"ref": "manatee/notebook-3dcef55568d213bfec25", "kernel_id": "38161"}, {"ref": "manatee/notebook-0418c0610f634fd10c43", "kernel_id": "38183"}, {"ref": "manatee/notebook-588a0afdb6353b150d46", "kernel_id": "38172"}, {"ref": "manatee/notebook-0c589b61b7c5360f1717", "kernel_id": "38180"}, {"ref": "manatee/notebook-cd1fd0a1f0600469848e", "kernel_id": "38048"}, {"ref": "praveenkotekal/introduction-to-ensembling-stacking-in-python", "kernel_id": "192118"}, {"ref": "hoomanhm/tests", "kernel_id": "16258"}, {"ref": "jkane3/a-journey-through-titanic", "kernel_id": "28438"}, {"ref": "jkane3/gridsearchrandomforest", "kernel_id": "25604"}, {"ref": "takeaki/notebook99339b2cbf", "kernel_id": "152348"}, {"ref": "mkrum10/literallylifeanddeath", "kernel_id": "15104"}, {"ref": "epripstein/notebook-39b5a757a283732c7a48", "kernel_id": "36850"}, {"ref": "nshad94/notebook822ab24009", "kernel_id": "218697"}, {"ref": "mdiabakhate/notebook201c8a00f2", "kernel_id": "223905"}, {"ref": "mdiabakhate/notebookd3709e6816", "kernel_id": "223895"}, {"ref": "mdiabakhate/notebooke24a200c0e", "kernel_id": "223677"}, {"ref": "gerardlouw/tests", "kernel_id": "15192"}, {"ref": "ktsoto/an-interactive-data-science-tutorial", "kernel_id": "184782"}, {"ref": "scogill/titanic-test-sbc", "kernel_id": "89645"}, {"ref": "gaggin/make-neural-networks-compete", "kernel_id": "15669"}, {"ref": "gaggin/default", "kernel_id": "15514"}, {"ref": "zoupet/titanicsurvival-dataanalysis-machinelearning", "kernel_id": "742633"}, {"ref": "gribeiro/notebook-2f9064e579fd4cb91e97", "kernel_id": "84286"}, {"ref": "longrc1221/introduction-to-ensembling-stacking-in-python", "kernel_id": "189043"}, {"ref": "cfagan101/visualization-and-running-various-models", "kernel_id": "37840"}, {"ref": "cfagan101/notebook-fb66aeb65706931aeee4", "kernel_id": "37847"}, {"ref": "cfagan101/notebook-7c185dee19dfa81dfb21", "kernel_id": "37838"}, {"ref": "alcaspar37/titanic-random-forest", "kernel_id": "170034"}, {"ref": "ayushpatel/trying", "kernel_id": "16603"}, {"ref": "lijantropez/notebook6326d87817", "kernel_id": "92815"}, {"ref": "galmeriol/an-interactive-data-science-tutorial", "kernel_id": "229047"}, {"ref": "naveenmarri/notebook3630ff2824", "kernel_id": "174943"}, {"ref": "jerryscott/notebooka7c6db7b21", "kernel_id": "157395"}, {"ref": "jerryscott/kaggle-titanic-001", "kernel_id": "157408"}, {"ref": "jerryscott/myfirsttest-py", "kernel_id": "156081"}, {"ref": "upendra35/testp", "kernel_id": "40272"}, {"ref": "upendra35/notebook-03fe59de9d73f47e7596", "kernel_id": "40274"}, {"ref": "upendra35/pie123", "kernel_id": "49569"}, {"ref": "upendra35/piechart-test", "kernel_id": "49396"}, {"ref": "upendra35/piec-123", "kernel_id": "49397"}, {"ref": "upendra35/tst2ere", "kernel_id": "49405"}, {"ref": "upendra35/challenge-1", "kernel_id": "47931"}, {"ref": "upendra35/reddit", "kernel_id": "45298"}, {"ref": "upendra35/notebook-d9ee64c6964b3beb5641", "kernel_id": "45299"}, {"ref": "upendra35/test123", "kernel_id": "45295"}, {"ref": "cpoli83/introduction-to-ensembling-stacking-in-python", "kernel_id": "194861"}, {"ref": "kuchiki/a-journey-through-titanic", "kernel_id": "121350"}, {"ref": "atirpetkar/a-journey-through-titanic", "kernel_id": "108022"}, {"ref": "drt0xx/notebook-06ec6d40b2bca7acce0c", "kernel_id": "25631"}, {"ref": "chenchaodev/basic-ml-on-titanic", "kernel_id": "95372"}, {"ref": "chenchaodev/a-journey-through-titanic", "kernel_id": "36143"}, {"ref": "chenchaodev/kaggle-titanic-001", "kernel_id": "47310"}, {"ref": "chenchaodev/notebook-74b717dc6c1e0ce613c1", "kernel_id": "47312"}, {"ref": "chenchaodev/notebooka26ae5b74e", "kernel_id": "231990"}, {"ref": "lmurawsk/a-journey-through-titanic", "kernel_id": "32033"}, {"ref": "lmurawsk/notebook-68c4943764cd9a7a8a13", "kernel_id": "32037"}, {"ref": "wabalubdubdub/notebook-9332c7c3bb689e7cdedc", "kernel_id": "36752"}, {"ref": "wabalubdubdub/titanic-script", "kernel_id": "17655"}, {"ref": "viccalexander/a-journey-through-titanic-ace5b5dd", "kernel_id": "90060"}, {"ref": "viccalexander/titanic-disaster-notebook", "kernel_id": "90063"}, {"ref": "viccalexander/a-journey-through-titanic", "kernel_id": "90051"}, {"ref": "pistak/simple-glm-model", "kernel_id": "76676"}, {"ref": "sivanou/notebook-1468d2846d3f76e96503", "kernel_id": "27023"}, {"ref": "srinisid/titanic3", "kernel_id": "19972"}, {"ref": "srinisid/titanic", "kernel_id": "19949"}, {"ref": "srinisid/titanic1", "kernel_id": "19963"}, {"ref": "srinisid/brbrr", "kernel_id": "21773"}, {"ref": "srinisid/test1", "kernel_id": "21617"}, {"ref": "gwwang/introduction-to-ensembling-stacking-in-pyth-ace527", "kernel_id": "232088"}, {"ref": "gwwang/genetic-programming-lb-0-88", "kernel_id": "232278"}, {"ref": "jak131/a-journey-through-titanic", "kernel_id": "88442"}, {"ref": "varunpurohit76/back-to-the-past", "kernel_id": "264799"}, {"ref": "vvcepheia/a-journey-through-titanic-281a9625", "kernel_id": "101050"}, {"ref": "vvcepheia/a-journey-through-titanic", "kernel_id": "96601"}, {"ref": "imitation/titanic-survival-rf", "kernel_id": "202801"}, {"ref": "imitation/exploring-survival-on-the-titanic", "kernel_id": "111524"}, {"ref": "herossa/notebookd570cc1f43", "kernel_id": "147890"}, {"ref": "tamreff3290/titanic-simple-code-with-xgboost-0-80382", "kernel_id": "948713"}, {"ref": "vishalgokhale/spizaetus-titanic", "kernel_id": "812243"}, {"ref": "ashvins/notebook2c435661b9", "kernel_id": "219994"}, {"ref": "ashvins/titanic-initial-script", "kernel_id": "219996"}, {"ref": "mona123/titanic-dataset-exploratory-analysis", "kernel_id": "273655"}, {"ref": "sidgupta/cannons-to-the-left-of-them", "kernel_id": "34986"}, {"ref": "kalidoss/titanic-survival-exploratory-analysis", "kernel_id": "224048"}, {"ref": "lostking91/notebook-463cf8f1d4e0bbd38062", "kernel_id": "81447"}, {"ref": "lostking91/titanic", "kernel_id": "81448"}, {"ref": "jobshiach/titanic", "kernel_id": "16316"}, {"ref": "neela23/notebook04d79f561a", "kernel_id": "209312"}, {"ref": "sunnyxi91/notebook-7461384e6ac5f79acee3", "kernel_id": "59538"}, {"ref": "sunnyxi91/titanic", "kernel_id": "59535"}, {"ref": "sunnyxi91/notebook-811d9b37284440d77c52", "kernel_id": "59175"}, {"ref": "mohanpb/notebook-7f7c5618cdc1ada1d2b5", "kernel_id": "25049"}, {"ref": "mohanpb/titanic", "kernel_id": "25050"}, {"ref": "mohanpb/notebook-5b4b68ddac45c8ea60ee", "kernel_id": "25207"}, {"ref": "mohanpb/notebook-af119f4f27e17399b2d1", "kernel_id": "25208"}, {"ref": "kosala/notebookb641d8c49c", "kernel_id": "100882"}, {"ref": "mayukhc/myfirstkernel", "kernel_id": "81995"}, {"ref": "agrawalramkrishna/test1", "kernel_id": "210419"}, {"ref": "agrawalramkrishna/introduction-to-ensembling-stacking-in-python", "kernel_id": "210431"}, {"ref": "varunagarwal/varun-s-submission", "kernel_id": "94185"}, {"ref": "sb1700/titame", "kernel_id": "59757"}, {"ref": "vshlpunjabi/notebook-a8bc08733d5b3b62ca12", "kernel_id": "52503"}, {"ref": "seuwangcy/deprecated-5", "kernel_id": "159117"}, {"ref": "vaibhav07/notebook-3517800d83dceb349e0f", "kernel_id": "74304"}, {"ref": "ldifer/notebook-e36f0774cdedb6999a5c", "kernel_id": "70000"}, {"ref": "ldifer/notebook-8f73f45c86f3bb1297cb", "kernel_id": "69834"}, {"ref": "ldifer/notebook-f3b6f5605d7c6386ebc8", "kernel_id": "69835"}, {"ref": "ldifer/notebook-72d4e47a764941b7ee95", "kernel_id": "69837"}, {"ref": "ldifer/study-of-tree-and-forest-algorithms", "kernel_id": "69828"}, {"ref": "ldifer/notebook-ee067923cdc0f126cd59", "kernel_id": "69829"}, {"ref": "ldifer/notebook-fb77e0e2d16db9e3af68", "kernel_id": "69831"}, {"ref": "ldifer/notebook-728e1cadfb23fbaa1fe1", "kernel_id": "69832"}, {"ref": "ldifer/notebook-4e4766e2578243162531", "kernel_id": "70422"}, {"ref": "ldifer/notebook-a1b72da73f158bc3a06a", "kernel_id": "70215"}, {"ref": "ldifer/notebook4cce5d69f0", "kernel_id": "242578"}, {"ref": "seancollins/notebook-f30b7d98184edbe79db9", "kernel_id": "67505"}, {"ref": "adityaprasanna/titanic-simple-logit-with-interaction", "kernel_id": "29680"}, {"ref": "jidong/a-journey-through-titanic", "kernel_id": "178770"}, {"ref": "jidong/titanic", "kernel_id": "109127"}, {"ref": "kishokumar/titanic-passenger-survival", "kernel_id": "91839"}, {"ref": "rahul2992/finding-missing-boarding-details", "kernel_id": "187136"}, {"ref": "liuxiaoyuan/notebook51e6f0a7e5", "kernel_id": "85798"}, {"ref": "veere0/notebook239a2b4083", "kernel_id": "243679"}, {"ref": "amitgodbole/machine-learning-classifier-using-titanic-dataset", "kernel_id": "315109"}, {"ref": "lonhan/titanic-py", "kernel_id": "16550"}, {"ref": "fabrizioff/a-journey-through-titanic", "kernel_id": "32251"}, {"ref": "fabrizioff/notebook-f4c1a8c1d132304d3e9d", "kernel_id": "32252"}, {"ref": "srauan205/a-journey-through-titanic", "kernel_id": "97482"}, {"ref": "kippinei/notebook-aaa8f5bb95b10837266c", "kernel_id": "35942"}, {"ref": "kippinei/notebook-94d5fbf8df35ae66b274", "kernel_id": "35943"}, {"ref": "chenxixi/notebook-c3092feaa5ae17477b5e", "kernel_id": "36965"}, {"ref": "dmdale/logistic-regression", "kernel_id": "139440"}, {"ref": "sandeepcrpunk/titanic-survival-prediction-r", "kernel_id": "102924"}, {"ref": "huangh/a-journey-through-titanic-5415d3e5", "kernel_id": "91278"}, {"ref": "lukashkinsi/notebook-4fcd47aa9d9b1cf05729", "kernel_id": "62795"}, {"ref": "vonoshun/a-journey-through-titanic", "kernel_id": "170104"}, {"ref": "gralgomez/kaggle-tit-r", "kernel_id": "207628"}, {"ref": "fabriceb/a-journey-through-titanic", "kernel_id": "100766"}, {"ref": "sohrabrahimi88/fork-of-titanic-rediscovered", "kernel_id": "135759"}, {"ref": "sohrabrahimi88/titanic-rediscovered", "kernel_id": "135748"}, {"ref": "buntyke/titanicsurvivalpredictor", "kernel_id": "159024"}, {"ref": "andriimakar/random-forest-benchmark-r", "kernel_id": "24435"}, {"ref": "seryog/solutions-1", "kernel_id": "19505"}, {"ref": "hjinoo/notebook-a92bbe60d8ba450e4a06", "kernel_id": "22129"}, {"ref": "hjinoo/myfirstforest", "kernel_id": "22130"}, {"ref": "soloman/exploratory-data-analysis-titans", "kernel_id": "134998"}, {"ref": "bendjedouattia/exploring-the-data", "kernel_id": "36005"}, {"ref": "gintro/bayesian-network-approach-using-libpgm", "kernel_id": "289788"}, {"ref": "tareksalhi/notebook-2220934417fccdc2af2a", "kernel_id": "44498"}, {"ref": "tareksalhi/notebook-f939686bfde5c3778339", "kernel_id": "70373"}, {"ref": "tareksalhi/study-of-tree-and-forest-algorithms", "kernel_id": "70370"}, {"ref": "mpatel21/titanic-kaggle-notebook", "kernel_id": "222179"}, {"ref": "sglembocki/fork-of-titanic-predictions", "kernel_id": "135682"}, {"ref": "sglembocki/notebook39b204e074", "kernel_id": "135511"}, {"ref": "sglembocki/notebookf6b28751b6", "kernel_id": "135512"}, {"ref": "sglembocki/notebook0db3c53dd3", "kernel_id": "135513"}, {"ref": "sglembocki/notebook9caf7639aa", "kernel_id": "135317"}, {"ref": "mazelx/test-2", "kernel_id": "32650"}, {"ref": "mazelx/notebook-3faafdc6649e83bd915b", "kernel_id": "32557"}, {"ref": "mazelx/notebook-d4b4dade699fe244bde9", "kernel_id": "32553"}, {"ref": "sonali1/titanic", "kernel_id": "19681"}, {"ref": "mariogs/notebook-ca826c29b69420bc17b2", "kernel_id": "69309"}, {"ref": "mariogs/hello", "kernel_id": "69307"}, {"ref": "tvanesse/notebook8ef411b4cb", "kernel_id": "175820"}, {"ref": "tvanesse/my-first-attempt-at-titanic", "kernel_id": "172692"}, {"ref": "tvanesse/notebooka2b9f69983", "kernel_id": "172564"}, {"ref": "sac18803/here1", "kernel_id": "42838"}, {"ref": "robsonfveiga/notebook04ac4baf81", "kernel_id": "94432"}, {"ref": "robsonfveiga/titanic", "kernel_id": "94433"}, {"ref": "robsonfveiga/notebook82e65d82c2", "kernel_id": "256313"}, {"ref": "rkulkarni/notebook-5d7a651c7cab49a11510", "kernel_id": "72943"}, {"ref": "dujekmancin/notebook-6bad1d416e301837794d", "kernel_id": "53987"}, {"ref": "dujekmancin/notebook-62951a0fc0c4256ec709", "kernel_id": "53988"}, {"ref": "dujekmancin/titanic-py", "kernel_id": "53990"}, {"ref": "dujekmancin/notebook-622137edf66c6dddd511", "kernel_id": "53984"}, {"ref": "nrgolovich/a-journey-through-titanic", "kernel_id": "182738"}, {"ref": "terrytan/a-journey-through-titanic", "kernel_id": "91342"}, {"ref": "terrytan/a-journey-through-titanic-7d92ff0f", "kernel_id": "91374"}, {"ref": "snbhanja/notebookf7fbbe029c", "kernel_id": "124774"}, {"ref": "anaghajoshi/trial1", "kernel_id": "21235"}, {"ref": "mkbs1419/test1", "kernel_id": "31281"}, {"ref": "mkbs1419/a-journey-through-titanic", "kernel_id": "32196"}, {"ref": "mkbs1419/notebook-a52f2209bc5de0253ea0", "kernel_id": "32318"}, {"ref": "mkbs1419/random-forest", "kernel_id": "32903"}, {"ref": "mkbs1419/notebook-18ed67e10417ffd7a35c", "kernel_id": "32904"}, {"ref": "mkbs1419/notebook-11e7f7555b13918b9672", "kernel_id": "32905"}, {"ref": "mkbs1419/started-python", "kernel_id": "32760"}, {"ref": "mkbs1419/notebook-d9fe21590a6996581cc9", "kernel_id": "32946"}, {"ref": "mkbs1419/notebook-fb167da59b3eec656aa7", "kernel_id": "32939"}, {"ref": "mkbs1419/notebook-a288d68c5f8af2274e0d", "kernel_id": "32942"}, {"ref": "ksaltsoy/a-journey-through-titanic", "kernel_id": "98657"}, {"ref": "johnsonwu/titanic-survival-prediction-nice-tutorial", "kernel_id": "160122"}, {"ref": "johnsonwu/scikit-learn-ml-from-start-to-finish", "kernel_id": "90257"}, {"ref": "kamidox/notebook1370006d28", "kernel_id": "204394"}, {"ref": "suosssss/notebookda402b7502", "kernel_id": "87360"}, {"ref": "adioshun/tensorflow", "kernel_id": "180514"}, {"ref": "adioshun/tensorflow-cb507870", "kernel_id": "180532"}, {"ref": "derekchen14/test-script-1", "kernel_id": "17629"}, {"ref": "raeger/notebook-b11decf58476a1858e88", "kernel_id": "49860"}, {"ref": "raeger/notebook-2fb20f3ded47e69d9bac", "kernel_id": "49861"}, {"ref": "lestatzhang/notebook4ce2b31a9c", "kernel_id": "211733"}, {"ref": "lyg0722/titanic-test", "kernel_id": "17039"}, {"ref": "nneema/a-journey-through-titanic", "kernel_id": "81261"}, {"ref": "nneema/notebook-40bb4e28c970a3a7fbf3", "kernel_id": "85188"}, {"ref": "nneema/notebook-bb685952c2ce1deaa404", "kernel_id": "85189"}, {"ref": "yibing/exploratory-tutorial-titanic", "kernel_id": "138863"}, {"ref": "rsharipov/initial", "kernel_id": "23260"}, {"ref": "timib1203/prediction-simple-logistic-regression-classifier", "kernel_id": "359261"}, {"ref": "injeans/titanic-script", "kernel_id": "136293"}, {"ref": "luispalmab/titanic-default", "kernel_id": "59328"}, {"ref": "gianluigi/exploratory-tutorial-titanic", "kernel_id": "104454"}, {"ref": "vgupta495/tester", "kernel_id": "17192"}, {"ref": "guscampbell/r-and-ds", "kernel_id": "18440"}, {"ref": "magicsea/test-run", "kernel_id": "46783"}, {"ref": "rahulvks/random-forest-benchmark-r", "kernel_id": "18853"}, {"ref": "hutianyou/titanic-firsttry-exploringexistingideas", "kernel_id": "114381"}, {"ref": "hutianyou/titan", "kernel_id": "114378"}, {"ref": "anna28/an-interactive-data-science-tutorial", "kernel_id": "211436"}, {"ref": "lsmwell/first-test", "kernel_id": "17324"}, {"ref": "juank334/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "161280"}, {"ref": "anandprakash/random-forest-benchmark", "kernel_id": "21424"}, {"ref": "smaraki/first-kaggle-submission", "kernel_id": "20952"}, {"ref": "smaraki/cabin-position-may-affect-survival", "kernel_id": "20953"}, {"ref": "smaraki/cabin-position-may-affect-surviva", "kernel_id": "20956"}, {"ref": "smaraki/logistic-regression-0-78469", "kernel_id": "20985"}, {"ref": "emaninspace/notebook-29ae3b87dbf2b5dda7d0", "kernel_id": "81368"}, {"ref": "mpanderson/kaggle-titanic-001", "kernel_id": "27542"}, {"ref": "dengshijiao/titanic-bruyont", "kernel_id": "169418"}, {"ref": "dengshijiao/titanic-python-notebook", "kernel_id": "816442"}, {"ref": "dariyaprishchepa/test3", "kernel_id": "17891"}, {"ref": "dariyaprishchepa/test1", "kernel_id": "17544"}, {"ref": "dariyaprishchepa/test2", "kernel_id": "17635"}, {"ref": "dariyaprishchepa/subm1", "kernel_id": "18059"}, {"ref": "despinakalfakakou/notebook6ed762d1a9", "kernel_id": "180022"}, {"ref": "hoticevijay/a-journey-through-titanic", "kernel_id": "130966"}, {"ref": "datadiesel/titanic-data-science-solutions", "kernel_id": "256543"}, {"ref": "devowl/justlearning", "kernel_id": "18022"}, {"ref": "gladtosee/python-seaborn-pairplot-example", "kernel_id": "17389"}, {"ref": "peterching/titanic-data-science-solutions", "kernel_id": "154820"}, {"ref": "peterching/titanic-data-science-solutions-b34a7346", "kernel_id": "154821"}, {"ref": "flipback/notebook-3df8d7b9eef9f4a8013b", "kernel_id": "28800"}, {"ref": "flipback/test1", "kernel_id": "28699"}, {"ref": "davidzhang/notebook-d5b995411ba36ba1fb81", "kernel_id": "27389"}, {"ref": "davidzhang/notebook-dd8b8f58144e93c04630", "kernel_id": "27391"}, {"ref": "warther/titanic-randomforest", "kernel_id": "131260"}, {"ref": "warther/titanic-reg-log", "kernel_id": "332660"}, {"ref": "maxpavlovdp/titanic-1-play-book", "kernel_id": "132191"}, {"ref": "giongto35/titanic", "kernel_id": "17475"}, {"ref": "lolayu/notebook-0d1f1ac4fdd7a017b674", "kernel_id": "20486"}, {"ref": "tedzhao/notebook-152acc94121ff913d52d", "kernel_id": "64583"}, {"ref": "fabriciosn/beautiful-dashboards-in-r", "kernel_id": "287954"}, {"ref": "kshushlyamin/sssss", "kernel_id": "17585"}, {"ref": "ypscut/test6", "kernel_id": "24175"}, {"ref": "ypscut/test1-1", "kernel_id": "17843"}, {"ref": "ypscut/test-3", "kernel_id": "17914"}, {"ref": "ypscut/test-5", "kernel_id": "17987"}, {"ref": "ypscut/12345", "kernel_id": "18070"}, {"ref": "sdeepakc/exploring-survival-on-the-titanic", "kernel_id": "191895"}, {"ref": "franktang2015/notebook-29dcd73b82750626fddb", "kernel_id": "77197"}, {"ref": "franktang2015/notebook-5d1f012dab33511c0cfc", "kernel_id": "77202"}, {"ref": "luyanhua/model-for-titanic", "kernel_id": "19168"}, {"ref": "prithvirajck/building-a-decision-tree-1", "kernel_id": "93307"}, {"ref": "ganliu/notebook-38b1f3636f20a047961c", "kernel_id": "60381"}, {"ref": "kotagirisujith/notebookec2494ff46", "kernel_id": "235474"}, {"ref": "pseudobyron/notebook-a2667001409726ba2ade", "kernel_id": "34774"}, {"ref": "bernardlin/kaggle-first-ipythonnotebook", "kernel_id": "50483"}, {"ref": "besedin/random-desicion-tree", "kernel_id": "17733"}, {"ref": "fsbdsffa2/testefelipe", "kernel_id": "17895"}, {"ref": "wonderkid/a-journey-through-titanic", "kernel_id": "134369"}, {"ref": "wonderkid/titanic-classifier", "kernel_id": "576435"}, {"ref": "everestman/notebookff3c828f85", "kernel_id": "203447"}, {"ref": "gauravvk/titanic", "kernel_id": "243648"}, {"ref": "xjm1021/12345", "kernel_id": "21587"}, {"ref": "xjm1021/notebook-18c9d80a8f654bc6567f", "kernel_id": "21588"}, {"ref": "elkali/notebook-062c47231818c14f2c12", "kernel_id": "21055"}, {"ref": "elkali/notebook-95679b29854488276687", "kernel_id": "21066"}, {"ref": "caozhiyuan/qqqddd", "kernel_id": "18471"}, {"ref": "marcobr/a-journey-through-titanic", "kernel_id": "134377"}, {"ref": "yogeshparte/a-journey-through-titanic", "kernel_id": "100176"}, {"ref": "mnottheone/notebook-cd5856a3323c360283d4", "kernel_id": "58584"}, {"ref": "akabdul/linearsvc-prediction", "kernel_id": "99919"}, {"ref": "akabdul/exploring-survival-on-the-titanic", "kernel_id": "100763"}, {"ref": "gython1/titanic-dataset-check-up", "kernel_id": "171053"}, {"ref": "mdsloan2000/notebook-3154922acf4c253f3969", "kernel_id": "64120"}, {"ref": "ramjir/notebook59ab22de03", "kernel_id": "230531"}, {"ref": "muxinghan/notebooka5b063b63a", "kernel_id": "184229"}, {"ref": "eriklindernoren/a-journey-through-titanic", "kernel_id": "87093"}, {"ref": "humogrammer/notebook-748c0377bc5677796ce4", "kernel_id": "72321"}, {"ref": "alokra/notebook-1b3e8d8690c8c793ff3f", "kernel_id": "48690"}, {"ref": "lindsayxlin/notebookddf83e7f4d", "kernel_id": "234285"}, {"ref": "michaelfan/titanic-xgboost", "kernel_id": "35810"}, {"ref": "michaelfan/tensorflow", "kernel_id": "35889"}, {"ref": "michaelfan/xgboost", "kernel_id": "25198"}, {"ref": "jparchure/ridge-regression-vs-glm", "kernel_id": "28312"}, {"ref": "caowenhong/notebook-beb38c0d449e860b7162", "kernel_id": "78473"}, {"ref": "moonbury/data-visualization-on-titanic-dataset", "kernel_id": "106398"}, {"ref": "ruoyuwu/notebookfcf5827745", "kernel_id": "148621"}, {"ref": "kevins/titanic-script", "kernel_id": "57948"}, {"ref": "hasnaa/notebooked69063322", "kernel_id": "96380"}, {"ref": "pitesatit/notebook5c7c6bc750", "kernel_id": "224027"}, {"ref": "pitesatit/titanic", "kernel_id": "224047"}, {"ref": "huili0140/data-munging-of-the-titanic", "kernel_id": "20342"}, {"ref": "sarvesh1990/a-journey-through-titanic", "kernel_id": "104473"}, {"ref": "austinmcconnell/first-attempt", "kernel_id": "18107"}, {"ref": "dimplexion/titanic-test", "kernel_id": "18057"}, {"ref": "yaduchittampalli/trouble-with-random-forest", "kernel_id": "708602"}, {"ref": "yaduchittampalli/fork-of-trouble-with-random-forest-c294f2", "kernel_id": "708641"}, {"ref": "yaduchittampalli/randomforest-acting-weird", "kernel_id": "711705"}, {"ref": "yaduchittampalli/trouble-with-knn", "kernel_id": "720450"}, {"ref": "yaduchittampalli/regression-models-and-evaluations", "kernel_id": "807500"}, {"ref": "yaduchittampalli/regression-models-and-evaluations-2", "kernel_id": "807540"}, {"ref": "nikitaefoshkin/a-journey-through-titanic", "kernel_id": "115179"}, {"ref": "jintgeorge/notebookc7cb912c3f", "kernel_id": "179443"}, {"ref": "jintgeorge/notebookd0a1b116c5", "kernel_id": "179463"}, {"ref": "jintgeorge/fork-of-titanic-trials", "kernel_id": "184642"}, {"ref": "jintgeorge/titanic-tight", "kernel_id": "185556"}, {"ref": "anirudh2403/notebook8fa2af9665", "kernel_id": "88201"}, {"ref": "wfarah/notebook6e7004a18a", "kernel_id": "143926"}, {"ref": "wfarah/notebook691a5591c3", "kernel_id": "154506"}, {"ref": "andaced/notebook8a1cacc486", "kernel_id": "216112"}, {"ref": "rohitchawla/a-journey-through-titanic", "kernel_id": "101775"}, {"ref": "zlatankr/notebookf76c9ac0fa", "kernel_id": "174454"}, {"ref": "zlatankr/notebook60750a9ef5", "kernel_id": "174448"}, {"ref": "zlatankr/titanic-random-forest-82-78", "kernel_id": "175260"}, {"ref": "david4221/an-interactive-data-science-tutorial", "kernel_id": "181449"}, {"ref": "rajdeepsaha/big-ship-bigger-iceberg", "kernel_id": "31743"}, {"ref": "ethanrocks/notebook-c8da174a85aca45aa283", "kernel_id": "32608"}, {"ref": "songze/a-journey-through-titanic", "kernel_id": "166158"}, {"ref": "saurabhkumar/a-journey-through-titanic", "kernel_id": "125327"}, {"ref": "dish42/getting-started", "kernel_id": "18211"}, {"ref": "sreevasthavsv/notebook903a2bb40c", "kernel_id": "197373"}, {"ref": "sreevasthavsv/notebookd57f73c5ae", "kernel_id": "197374"}, {"ref": "mickeylyh/decision-tree-visualization-submission", "kernel_id": "21075"}, {"ref": "mickeylyh/titanic-myfirsttest", "kernel_id": "21087"}, {"ref": "mickeylyh/randomforest-method", "kernel_id": "21091"}, {"ref": "mickeylyh/randomforest-method00", "kernel_id": "21097"}, {"ref": "mickeylyh/first-kaggle-submission", "kernel_id": "21111"}, {"ref": "mickeylyh/test-1", "kernel_id": "21638"}, {"ref": "srinivaskcg/notebook-e138410b3f38785a1708", "kernel_id": "49357"}, {"ref": "miles0302/baseline", "kernel_id": "18536"}, {"ref": "ilovetlic/kaggle-titanic-001", "kernel_id": "25641"}, {"ref": "jeu1987/titanic", "kernel_id": "73917"}, {"ref": "dhoracy/random-forest-benchmark-r", "kernel_id": "18302"}, {"ref": "dhoracy/negr9", "kernel_id": "18314"}, {"ref": "priyankabedarkar/notebookd7eed2e2d7", "kernel_id": "206184"}, {"ref": "rhizome/notebookce6e55fee1", "kernel_id": "102595"}, {"ref": "rhizome/titanic-logistic-regression-with-patsy", "kernel_id": "102344"}, {"ref": "valerydanilik/notebookdf1dd21f6b", "kernel_id": "128769"}, {"ref": "valerydanilik/titanic-first-bigdata-experience", "kernel_id": "128771"}, {"ref": "valerydanilik/notebookc707109a66", "kernel_id": "131408"}, {"ref": "valerydanilik/titanic-second-try", "kernel_id": "131156"}, {"ref": "vekapex/titanic-0-1", "kernel_id": "24286"}, {"ref": "takayuki81/notebook-420c058f310125a4d391", "kernel_id": "35466"}, {"ref": "cappuccinos/shen-test-20150929", "kernel_id": "18394"}, {"ref": "rasnes/titanic-test", "kernel_id": "148780"}, {"ref": "dlabbe1005/notebook-9939ac27d95a77c71421", "kernel_id": "80146"}, {"ref": "sijojose/tutorial", "kernel_id": "87633"}, {"ref": "king8023/introduction-to-ensembling-stacking-in-python", "kernel_id": "191835"}, {"ref": "king8023/notebook3aa58dd9a4", "kernel_id": "90512"}, {"ref": "nfrancois/notebook-01fbede5fdf7d79e0e09", "kernel_id": "21018"}, {"ref": "misechko/predict-survival-on-the-titanic-title", "kernel_id": "46329"}, {"ref": "jay994797/exploratory-tutorial-titanic-disaster", "kernel_id": "116599"}, {"ref": "thejoker07/notebook1ad85cbf91", "kernel_id": "335275"}, {"ref": "jns2292/titanicsurvivors-r", "kernel_id": "84004"}, {"ref": "banstick/titanic-logistic-regression", "kernel_id": "21369"}, {"ref": "tommyttf/learn", "kernel_id": "19838"}, {"ref": "dehaan/titanic", "kernel_id": "39444"}, {"ref": "szczeles/notebook-75a1c71e35873ce47bc8", "kernel_id": "63657"}, {"ref": "szczeles/notebook-23c969de140a2cea5c76", "kernel_id": "63659"}, {"ref": "szczeles/notebook-d4b8b90655faf25b3e88", "kernel_id": "55232"}, {"ref": "rmsrms/titanic-logistic-regression-75", "kernel_id": "181808"}, {"ref": "rmsrms/decision-tree-visualization-submission", "kernel_id": "181819"}, {"ref": "alpoza/test-titanic", "kernel_id": "22828"}, {"ref": "colinwc0/a-journey-through-titanic", "kernel_id": "74758"}, {"ref": "colinwc0/notebook-3a2d62ccd75897edf7f5", "kernel_id": "74759"}, {"ref": "robherold/initial-script", "kernel_id": "27043"}, {"ref": "timelys/introduction-to-ensembling-stacking-in-python", "kernel_id": "222856"}, {"ref": "florisr/notebook874f1125ee", "kernel_id": "135142"}, {"ref": "momopie/gradient-boosting", "kernel_id": "123707"}, {"ref": "lockywolf/drop-table", "kernel_id": "258505"}, {"ref": "faxlad/a-journey-through-titanic", "kernel_id": "123429"}, {"ref": "nikhilp/a-journey-through-titanic", "kernel_id": "118559"}, {"ref": "allhailtheking/a-journey-through-titanic-ab39dcab", "kernel_id": "136200"}, {"ref": "allhailtheking/a-journey-through-titanic-c10c396b", "kernel_id": "136194"}, {"ref": "allhailtheking/a-journey-through-titanic", "kernel_id": "136155"}, {"ref": "jtrausch/notebook12c6f27e43", "kernel_id": "106673"}, {"ref": "meenal19/titanic-0623", "kernel_id": "73342"}, {"ref": "mterzolo/kaggle-first-ipythonnotebook", "kernel_id": "54705"}, {"ref": "sandeeppatra/notebook0ea666b89e", "kernel_id": "112706"}, {"ref": "peirancao/a-journey-through-titanic", "kernel_id": "31889"}, {"ref": "amitjena05/notebook445f9bb50e", "kernel_id": "202798"}, {"ref": "amitjena05/titanic-data-analysis-in-r", "kernel_id": "202793"}, {"ref": "steeeveee/notebook-97f20211f3c35818bbc0", "kernel_id": "22548"}, {"ref": "riotboyer/notebook-1e4fb9117dcf3a18f8ba", "kernel_id": "38416"}, {"ref": "thefreighttrain/was-the-titanic-racist", "kernel_id": "19244"}, {"ref": "lmurtinho/notebook7dad0285a1", "kernel_id": "87266"}, {"ref": "poslannik/notebook-4a6bf752aa00fe87eed0", "kernel_id": "29581"}, {"ref": "poslannik/titanic", "kernel_id": "29582"}, {"ref": "divyanshu057/notebook32e3da691f", "kernel_id": "192995"}, {"ref": "eidanch/notebooka31721af95", "kernel_id": "99434"}, {"ref": "eidanch/notebookc35b3ddf37", "kernel_id": "205577"}, {"ref": "elcinergin/a-journey-through-titanic", "kernel_id": "156946"}, {"ref": "joemckendrick/test1", "kernel_id": "225479"}, {"ref": "arioston/notebook81c731070c", "kernel_id": "98028"}, {"ref": "arioston/notebookde0a3c484b", "kernel_id": "98364"}, {"ref": "world1mehdi/redouane", "kernel_id": "23336"}, {"ref": "andwhat/notebook-00377845c119e41619a0", "kernel_id": "23332"}, {"ref": "andwhat/notebook-f793b145b78cc329fb95", "kernel_id": "23643"}, {"ref": "andwhat/runbb", "kernel_id": "22191"}, {"ref": "andwhat/notebook-cb361b8250cd2b12439d", "kernel_id": "22192"}, {"ref": "andwhat/notebook-c3f467df9775cf372608", "kernel_id": "22193"}, {"ref": "andwhat/eeeee", "kernel_id": "22194"}, {"ref": "andwhat/notebook-5b9cb5b8f1276389cb49", "kernel_id": "22225"}, {"ref": "andwhat/notebook-03d4c76d3112a3598690", "kernel_id": "22331"}, {"ref": "andwhat/notebook-6f5b693c421b406864ac", "kernel_id": "22332"}, {"ref": "andwhat/notebook-d96ecc0f673d1ffadf44", "kernel_id": "21988"}, {"ref": "andwhat/notebook-50efc2a3bd985983a777", "kernel_id": "21636"}, {"ref": "andwhat/notebook-9c7aebe98a8ae29f9cbc", "kernel_id": "21591"}, {"ref": "andwhat/notebook-f3a4f0c0c451db4bb230", "kernel_id": "21237"}, {"ref": "andwhat/notebook-49c231542dbea5555f7f", "kernel_id": "21537"}, {"ref": "andwhat/notebook-32564ec45b35a7b34b08", "kernel_id": "20802"}, {"ref": "andwhat/first1", "kernel_id": "20089"}, {"ref": "andwhat/notebook-56365e337a7de6982b90", "kernel_id": "24360"}, {"ref": "andwhat/notebook-cec408d4576554eb634f", "kernel_id": "23668"}, {"ref": "andwhat/notebook-45ba4be639d63075aec4", "kernel_id": "23892"}, {"ref": "andwhat/notebook-b7fc3441ca73d3db639d", "kernel_id": "23786"}, {"ref": "andwhat/notebook-43e70bdab006e571011f", "kernel_id": "30817"}, {"ref": "andwhat/notebook-3d1ba3be3920b795a281", "kernel_id": "30813"}, {"ref": "andwhat/notebook-66acbd8e0b2fd1ee5aca", "kernel_id": "31834"}, {"ref": "andwhat/notebook-3036977d7819a6ec621c", "kernel_id": "31694"}, {"ref": "zachwong/notebookf88f8637e5", "kernel_id": "240967"}, {"ref": "yaopengx/titanic-random-forest-82-78", "kernel_id": "178740"}, {"ref": "whalejasmine/rf-1st", "kernel_id": "156084"}, {"ref": "pandatime/notebook-aeb57e1d5bb1637036ea", "kernel_id": "34018"}, {"ref": "pandatime/notebook-441ae23f0299bee5ba24", "kernel_id": "34019"}, {"ref": "dujianjun79/notebook3debfd4fc1", "kernel_id": "247927"}, {"ref": "dujianjun79/notebook10df10dbb0", "kernel_id": "245924"}, {"ref": "dujianjun79/titanic-machine-learing", "kernel_id": "48812"}, {"ref": "artinyam/lab-6-for-tech-fundamentals", "kernel_id": "19960"}, {"ref": "mahadeb/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "175892"}, {"ref": "mighelone/first-notebook", "kernel_id": "53870"}, {"ref": "mighelone/notebook-c78f867c7b588ca3c59b", "kernel_id": "22282"}, {"ref": "gaursin/using-mice-to-impute-data", "kernel_id": "196198"}, {"ref": "joe1234/notebook-863d5b3b3b30b0e7fd09", "kernel_id": "74879"}, {"ref": "danogillam/notebook-03937232abc749c79212", "kernel_id": "36999"}, {"ref": "abhishekmshr956/getting-started-with-kaggle-titanic-dataset", "kernel_id": "547461"}, {"ref": "rodrigomalacarne/introduction-to-ensembling-stacking-in-python", "kernel_id": "194657"}, {"ref": "shekharj/notebookf62a43afd6", "kernel_id": "136480"}, {"ref": "kaneroy/notebook983d5a3508", "kernel_id": "203858"}, {"ref": "kaneroy/notebook662adb31a2", "kernel_id": "203860"}, {"ref": "vousmevoyez/getting-started-with-python", "kernel_id": "105457"}, {"ref": "prashant8488/a-journey-through-titanic", "kernel_id": "32142"}, {"ref": "yoheik/titanic1", "kernel_id": "29479"}, {"ref": "weiweihuang/titanic-myfirsttest", "kernel_id": "19171"}, {"ref": "vihari/titanic-survival-predictions", "kernel_id": "39979"}, {"ref": "janlauge/glmnet-with-feature-engineering", "kernel_id": "51735"}, {"ref": "janlauge/notebook-5c07430f33af7f07d9ab", "kernel_id": "51744"}, {"ref": "gedawei1984/titanic-test", "kernel_id": "102585"}, {"ref": "gedawei1984/notebook14af0df575", "kernel_id": "102587"}, {"ref": "tplandow/c5-0-with-caret", "kernel_id": "22065"}, {"ref": "warsfor42/notebook-caff8ad5b448c4ee4b98", "kernel_id": "53092"}, {"ref": "warsfor42/notebook-06eefde9cb19ed0e1cd0", "kernel_id": "53096"}, {"ref": "warsfor42/lasttit", "kernel_id": "52983"}, {"ref": "warsfor42/notebook-48c119d301f1c56eac11", "kernel_id": "52872"}, {"ref": "warsfor42/notebook-3821877024a4607f450c", "kernel_id": "52912"}, {"ref": "warsfor42/notebook-1a8a9fb5247ee336ae0f", "kernel_id": "52918"}, {"ref": "warsfor42/notebook-3791429d1df1d16f209b", "kernel_id": "52882"}, {"ref": "warsfor42/notebook-498acd58477657b8dd23", "kernel_id": "52227"}, {"ref": "warsfor42/notebook-fa4988ce1110c97c3f12", "kernel_id": "52203"}, {"ref": "warsfor42/titanic", "kernel_id": "52205"}, {"ref": "warsfor42/titanic1", "kernel_id": "52206"}, {"ref": "warsfor42/notebook-e2f3412c0841b36d0aa4", "kernel_id": "52193"}, {"ref": "warsfor42/warsfor42", "kernel_id": "52195"}, {"ref": "warsfor42/notebook-3b8e904a82011e0b069e", "kernel_id": "52676"}, {"ref": "warsfor42/test1", "kernel_id": "52671"}, {"ref": "warsfor42/notebook-b763909e62954cc626a5", "kernel_id": "72159"}, {"ref": "maximspiryaev/notebook-b8883d2b957f1bf10948", "kernel_id": "38040"}, {"ref": "lucmioulet/notebook-5e0650ce54f6b64f7305", "kernel_id": "35734"}, {"ref": "udayvakalapudi/notebook2e8ecce8cb", "kernel_id": "96197"}, {"ref": "shanchuanruge/exploring-survival-on-the-titanic", "kernel_id": "142720"}, {"ref": "dreamsicl/helloworld", "kernel_id": "76918"}, {"ref": "sherlock777/notebook-d30b95fc795260e546d8", "kernel_id": "24166"}, {"ref": "sherlock777/test1", "kernel_id": "24167"}, {"ref": "zeshan/notebook2df28924ce", "kernel_id": "183089"}, {"ref": "natalidedik/notebook0659777f89", "kernel_id": "112923"}, {"ref": "phiswap/titanic-maritime-machine-learning", "kernel_id": "181022"}, {"ref": "rajmanda/titanic-random-forest", "kernel_id": "20141"}, {"ref": "anantb/notebook-77e2daf53b2b3900f7d5", "kernel_id": "24176"}, {"ref": "anantb/notebook-d13b9a42e66ca9d1942f", "kernel_id": "24177"}, {"ref": "ryannroach/original", "kernel_id": "30331"}, {"ref": "wallone/sample-titanic", "kernel_id": "92233"}, {"ref": "fatihuludag78/titanic-machine-learning-from-disaster-889b00", "kernel_id": "237388"}, {"ref": "maharshi/notebook-7ca78fa41e9d65981d3c", "kernel_id": "44249"}, {"ref": "maharshi/notebook-1ab348171c0b34a07abd", "kernel_id": "44067"}, {"ref": "maharshi/notebook-6284a9927aed79ed8d64", "kernel_id": "44069"}, {"ref": "liutianyi/star-titanic-survival-prediction", "kernel_id": "166781"}, {"ref": "sergeyaksenov/notebook-663553555e1844566f10", "kernel_id": "51270"}, {"ref": "amadou/testing-this-script", "kernel_id": "36253"}, {"ref": "aayushiagg/titanic-survival-prediction", "kernel_id": "47579"}, {"ref": "gustave/a-journey-through-titanic", "kernel_id": "107830"}, {"ref": "dyc941126/a-journey-through-titanic", "kernel_id": "128631"}, {"ref": "kanavvats/titanic-xgboost", "kernel_id": "201812"}, {"ref": "divir94/titanic", "kernel_id": "19551"}, {"ref": "keelezibel/exploratory-tutorial-titanic-disaster", "kernel_id": "115830"}, {"ref": "garywyj/test1", "kernel_id": "19606"}, {"ref": "itaispiegel/notebook5e651293e7", "kernel_id": "237646"}, {"ref": "profversaggi/new-titanic-script", "kernel_id": "30170"}, {"ref": "profversaggi/notebook-004b69e548622bb94207", "kernel_id": "30171"}, {"ref": "loucru1/notebook-4debbc42e6c64d71a1dd", "kernel_id": "73176"}, {"ref": "loucru1/notebook-4a7e3e9369891182d0c9", "kernel_id": "73181"}, {"ref": "anushveeranala/default", "kernel_id": "52314"}, {"ref": "alexbird99/notebook-72a8a35244c3b81614aa", "kernel_id": "26649"}, {"ref": "alexbird99/titanic", "kernel_id": "26650"}, {"ref": "ucasxzq/notebook-c3237725bab9912da6c1", "kernel_id": "33111"}, {"ref": "danycold/an-interactive-data-science-tutorial", "kernel_id": "184337"}, {"ref": "lorifei/decision-tree-visualization-submission", "kernel_id": "19748"}, {"ref": "ipaolucci/notebook6073ed30ab", "kernel_id": "280359"}, {"ref": "ipaolucci/notebook6dc5282a6f", "kernel_id": "280557"}, {"ref": "darreng/notebook-465580bc865577667cad", "kernel_id": "32888"}, {"ref": "darreng/notebook-62bb2afc2fc09ae4b80e", "kernel_id": "32882"}, {"ref": "darreng/titanic-data", "kernel_id": "32878"}, {"ref": "flowy00/titanic-notebook-datacamp-kaggle-tutorial", "kernel_id": "177931"}, {"ref": "soungno/notebook406519d30e", "kernel_id": "91236"}, {"ref": "smnkmr/okokook", "kernel_id": "21053"}, {"ref": "arun388758/python-titanic", "kernel_id": "264494"}, {"ref": "iustines/titanic-best-working-classifier", "kernel_id": "140449"}, {"ref": "diegohueltes/notebook80156feb76", "kernel_id": "234479"}, {"ref": "kishenr/notebook-90391691d398aecdfbbc", "kernel_id": "39622"}, {"ref": "aditibehl27/randomforest-method", "kernel_id": "21763"}, {"ref": "peggy88/titanic-data-eda-by-peggy", "kernel_id": "271708"}, {"ref": "samuli/notebook-326fb2dfd35db2c8e186", "kernel_id": "65266"}, {"ref": "arunve/titanicr", "kernel_id": "19958"}, {"ref": "devonmedlin/titanic", "kernel_id": "19965"}, {"ref": "javaib/kaggle-titanic-001", "kernel_id": "26776"}, {"ref": "javaib/decision-tree-visualization-submission", "kernel_id": "21446"}, {"ref": "javaib/randomforest-method", "kernel_id": "21443"}, {"ref": "javaib/cabin-position-may-affect-survival", "kernel_id": "21427"}, {"ref": "javaib/cabin-survival", "kernel_id": "21440"}, {"ref": "javaib/cabin-new-script", "kernel_id": "21441"}, {"ref": "terc11/first-kaggle-submission", "kernel_id": "20897"}, {"ref": "fhillery82/mgmt6963-lab6", "kernel_id": "19955"}, {"ref": "fhillery82/class-try1", "kernel_id": "19970"}, {"ref": "xiangxlu/titanic1", "kernel_id": "246183"}, {"ref": "sisira/decision-tree-visualization-submission", "kernel_id": "20934"}, {"ref": "sisira/notebook-05a3567d188f1c934020", "kernel_id": "20936"}, {"ref": "sisira/random-forest-benchmark-r", "kernel_id": "20827"}, {"ref": "sisira/notebook-f9b8745b17b7c5932bc9", "kernel_id": "20828"}, {"ref": "sisira/notebook-c8f204bdcfba59222cc6", "kernel_id": "20829"}, {"ref": "sisira/notebook-14bffb7b7669a5c612aa", "kernel_id": "20830"}, {"ref": "sisira/firstkaggle-submission", "kernel_id": "21782"}, {"ref": "sisira/decisiontree-visualization-submission", "kernel_id": "21605"}, {"ref": "sisira/naive-bayes-visualization-submission", "kernel_id": "21565"}, {"ref": "sisira/notebook-e6b1a84c36520120b79e", "kernel_id": "21567"}, {"ref": "erm93ct/tutorial-1-gender-based-model-0-7655", "kernel_id": "19956"}, {"ref": "erm93ct/titanic-python", "kernel_id": "19966"}, {"ref": "erm93ct/mgmt6963-lab6", "kernel_id": "19947"}, {"ref": "erm93ct/decision-tree-visualization-submission", "kernel_id": "21828"}, {"ref": "cheny23/logistic-regression-0-78469", "kernel_id": "21056"}, {"ref": "cheny23/first-kaggle-submission", "kernel_id": "21058"}, {"ref": "bynumi/logistic-regression-0-78469", "kernel_id": "22084"}, {"ref": "bynumi/lab6inclass2", "kernel_id": "19982"}, {"ref": "aijiaosa/titanic-logistic-regression", "kernel_id": "21593"}, {"ref": "joezhoujinjing/notebook-15c2068393fedeb9697e", "kernel_id": "44161"}, {"ref": "congruili/test1", "kernel_id": "20333"}, {"ref": "sumitg/first-script", "kernel_id": "49293"}, {"ref": "wangwei123/notebookfd191583b6", "kernel_id": "279543"}, {"ref": "yennanliu/notebookd03e59d992", "kernel_id": "162542"}, {"ref": "yennanliu/notebook-316e5e7f21428249ba49", "kernel_id": "20681"}, {"ref": "yennanliu/notebook-7e7e92f62a8766da0b25", "kernel_id": "20682"}, {"ref": "sidgupta94/notebook293ff05029", "kernel_id": "94992"}, {"ref": "popoago/notebook-ce8483ff4d9048df5a4d", "kernel_id": "28303"}, {"ref": "popoago/notebook-18f14cf77a0ed562578f", "kernel_id": "28305"}, {"ref": "eshanjain/exploring-survival-on-the-titanic", "kernel_id": "149858"}, {"ref": "maxalonzohuaman/notebook-33b596b38e264d3a26b9", "kernel_id": "23691"}, {"ref": "pvsdileep/practice", "kernel_id": "77364"}, {"ref": "pvsdileep/notebook-0cf3be89e05dd116eccf", "kernel_id": "77369"}, {"ref": "pvsdileep/notebook-fbdc6611b3d367acad7d", "kernel_id": "77370"}, {"ref": "dthakore/titanic-101-pr1", "kernel_id": "39526"}, {"ref": "gravil/a-journey-through-titanic", "kernel_id": "94333"}, {"ref": "nakashima/lit-mlcode", "kernel_id": "33746"}, {"ref": "nakashima/lit-ml", "kernel_id": "33679"}, {"ref": "nakashima/notebook-9fd6afac843e55804ab4", "kernel_id": "33710"}, {"ref": "nakashima/notebook-7373420f6936a20774a5", "kernel_id": "33700"}, {"ref": "joy1381993/a-journey-through-titanic", "kernel_id": "35133"}, {"ref": "ryanfras/a-journey-through-titanic", "kernel_id": "107491"}, {"ref": "nvpopov/my-first-kaggle-kernel", "kernel_id": "186302"}, {"ref": "elixyra/first-titan", "kernel_id": "43614"}, {"ref": "shiaurys/a-journey-through-titanic", "kernel_id": "87279"}, {"ref": "group16/notebook0a572b26db", "kernel_id": "87960"}, {"ref": "group16/notebookcc15ac3e29", "kernel_id": "87977"}, {"ref": "xyliaa2336/notebookdabb801afd", "kernel_id": "215416"}, {"ref": "sorooshnazem/test1", "kernel_id": "105100"}, {"ref": "abhinav12121/titanic-randomforrest-v1-2", "kernel_id": "20566"}, {"ref": "zeamxie/an-interactive-data-science-tutorial", "kernel_id": "186506"}, {"ref": "zeamxie/an-interactive-data-science-tutorial-cd276c", "kernel_id": "186522"}, {"ref": "zeamxie/a-journey-through-titanic", "kernel_id": "186536"}, {"ref": "davidalbertbrewer/notebook64ca421cb1", "kernel_id": "141906"}, {"ref": "artyart/notebook-17df6a431e43661753fd", "kernel_id": "21934"}, {"ref": "karl60/notebook-e9598af38ebda41e8acf", "kernel_id": "23259"}, {"ref": "jchenstat/titanic-random-forest-82-78", "kernel_id": "177538"}, {"ref": "argolof/1st-kaggle-script-linear-kern-svm", "kernel_id": "79075"}, {"ref": "argolof/notebook-c61063aa96037863b799", "kernel_id": "79067"}, {"ref": "argolof/notebook-cae6fe686d38396e0dbd", "kernel_id": "79069"}, {"ref": "argolof/notebook-828b79fdad06a70c6ae4", "kernel_id": "79070"}, {"ref": "mreza1/notebook-fe3aade1a02bae7b6a07", "kernel_id": "31413"}, {"ref": "tienduong/titanic", "kernel_id": "224520"}, {"ref": "jacoblchapman/notebookebc35b60f5", "kernel_id": "182769"}, {"ref": "brucezheng/a-journey-through-titanic", "kernel_id": "109967"}, {"ref": "jacksonpontsler/random-forest-benchmark-r", "kernel_id": "20631"}, {"ref": "jacksonpontsler/notebook-21ad1662e09e40681597", "kernel_id": "20632"}, {"ref": "jacksonpontsler/notebook-8272161092d366f3bcb7", "kernel_id": "20633"}, {"ref": "headings/notebook-1295b91cd0940a16b519", "kernel_id": "56983"}, {"ref": "shivong27/titanic", "kernel_id": "55565"}, {"ref": "lanqin/head-start-for-data-scientist", "kernel_id": "665380"}, {"ref": "austinpoulton/test1", "kernel_id": "25071"}, {"ref": "austinpoulton/a-journey-through-titanic", "kernel_id": "114857"}, {"ref": "stunner1608/notebook-d912661a4d70116f6d88", "kernel_id": "69128"}, {"ref": "saimanikanta/trail", "kernel_id": "20935"}, {"ref": "luiyezheng/titanic", "kernel_id": "20524"}, {"ref": "miogawabach/readingdata", "kernel_id": "20571"}, {"ref": "manuelledyc/notebook-3bd88e6d0cd79282b176", "kernel_id": "85290"}, {"ref": "physicsmichael/notebook-f037fbe2e8dd0fa045ca", "kernel_id": "20683"}, {"ref": "wbjohnston/notebook-41bef49e1754ff8caffc", "kernel_id": "21141"}, {"ref": "pwicked/notebook-cafe8b9b122dad1d26a6", "kernel_id": "20612"}, {"ref": "pwicked/notebook-7dd5cfd40eb9ca115585", "kernel_id": "20613"}, {"ref": "pwicked/notebook-04d55dcda0886c4718ee", "kernel_id": "20616"}, {"ref": "wacholder/notebook-13f1802d17c0bd7d8f91", "kernel_id": "20615"}, {"ref": "bfortuner/notebookbadede2599", "kernel_id": "110081"}, {"ref": "alfredchenchen/titanic-survival-prediction", "kernel_id": "183237"}, {"ref": "rkumar3147/exploring-survival-on-the-titanic1", "kernel_id": "97471"}, {"ref": "wojciechk/a-journey-through-titanic", "kernel_id": "161463"}, {"ref": "admitry/xgbmastering", "kernel_id": "55509"}, {"ref": "admitry/notebook-732d483bab0695ef81f9", "kernel_id": "55518"}, {"ref": "alanre/don-t-get-lost-in-a-forest", "kernel_id": "139862"}, {"ref": "shellinghum/notebook-22cca5090dc122e3bca2", "kernel_id": "43037"}, {"ref": "shenheng/introduction-to-ensembling-stacking-in-python", "kernel_id": "329676"}, {"ref": "lobisi/notebookc512173929", "kernel_id": "116422"}, {"ref": "abhinavgpt/fork-of-titanic-prediction", "kernel_id": "170875"}, {"ref": "abhinavgpt/titanic-prediction", "kernel_id": "170779"}, {"ref": "abhinavgpt/notebook2f1ecb96ea", "kernel_id": "170776"}, {"ref": "terry86/notebook-3ce35130cb8664e90119", "kernel_id": "21025"}, {"ref": "qwex99/notebook-62f67be0101c9eafdc82", "kernel_id": "21725"}, {"ref": "qwex99/test1", "kernel_id": "21726"}, {"ref": "creepykoala/notebook-fca960299a5ff1a62390", "kernel_id": "63526"}, {"ref": "creepykoala/notebook-d792a0acabb10e9a2132", "kernel_id": "63527"}, {"ref": "creepykoala/notebook-075e722c507d6c7aed45", "kernel_id": "63520"}, {"ref": "creepykoala/study-of-tree-and-forest-algorithms", "kernel_id": "63522"}, {"ref": "itashiev/notebook-01c77ae8234526ad1d7f", "kernel_id": "40401"}, {"ref": "itashiev/notebook-88a945904f4c67414dda", "kernel_id": "33579"}, {"ref": "benfindeisen/a-journey-through-titanic", "kernel_id": "99653"}, {"ref": "lighterkey/a-journey-through-titanic", "kernel_id": "197584"}, {"ref": "sasaa9/notebook-9f5abe634033112abc63", "kernel_id": "28457"}, {"ref": "sasaa9/kaggle-first-ipythonnotebook", "kernel_id": "27900"}, {"ref": "haiboni/notebookae064a39ab", "kernel_id": "228364"}, {"ref": "paulocirinoneto/notebook57da8e6340", "kernel_id": "183374"}, {"ref": "bin0511/rf-featuresel", "kernel_id": "21397"}, {"ref": "bin0511/titanic", "kernel_id": "21392"}, {"ref": "bin0511/notebook-73e742cfb0e72463e0af", "kernel_id": "21393"}, {"ref": "hogsgonewild/notebook-21a5e9e1c29e977c29d6", "kernel_id": "25552"}, {"ref": "hogsgonewild/kaggle-titanic-001", "kernel_id": "25547"}, {"ref": "hogsgonewild/notebook-000f42222d859b1ae25e", "kernel_id": "25548"}, {"ref": "hogsgonewild/notebook-18eb432df3e4fdd1a77b", "kernel_id": "25549"}, {"ref": "hogsgonewild/notebook-98a0218178e162f098d3", "kernel_id": "25550"}, {"ref": "hogsgonewild/notebook-015aa5d5f72f36f0c72c", "kernel_id": "24014"}, {"ref": "pclear/titanic-data-science-solutions", "kernel_id": "207685"}, {"ref": "thangelane/titanic-prediction", "kernel_id": "102260"}, {"ref": "julianafontolan/oi-teste", "kernel_id": "127681"}, {"ref": "julianafontolan/notebookf4087c81a0", "kernel_id": "124365"}, {"ref": "ragekitty/a-journey-through-titanic", "kernel_id": "28231"}, {"ref": "ragekitty/notebook-e6ec5c63ad5d3951601b", "kernel_id": "28232"}, {"ref": "ragekitty/notebook-62862ae96eff8246e26a", "kernel_id": "28233"}, {"ref": "wuwuwuxxx/notebook86ba48250c", "kernel_id": "224582"}, {"ref": "arjunb18/random-forest-benchmark-r", "kernel_id": "124205"}, {"ref": "thomasbmnor/titanic", "kernel_id": "33924"}, {"ref": "nickycan/a-journey-through-titanic", "kernel_id": "91746"}, {"ref": "nickycan/an-interactive-data-science-tutorial", "kernel_id": "228465"}, {"ref": "nickycan/introduction-to-ensembling-stacking-in-python", "kernel_id": "227897"}, {"ref": "kusala9/some-stuff", "kernel_id": "24040"}, {"ref": "theashwanigupta/randomforest-cforest-method", "kernel_id": "28026"}, {"ref": "zhenxing/titanicexample", "kernel_id": "24852"}, {"ref": "zhenxing/titanicexampleimproved", "kernel_id": "25197"}, {"ref": "tfglaser/notebook-66b5a7dfa93ed17b91c2", "kernel_id": "31825"}, {"ref": "tfglaser/notebook-8fa4ff30ddc6568e8c2f", "kernel_id": "30770"}, {"ref": "tfglaser/titanic-visualization", "kernel_id": "35247"}, {"ref": "tfglaser/titanic-ml", "kernel_id": "35264"}, {"ref": "replacedwings/testa", "kernel_id": "27386"}, {"ref": "arasaraja/myfirstkernel", "kernel_id": "276754"}, {"ref": "coridc/notebook8837443ee8", "kernel_id": "134957"}, {"ref": "coridc/fork-of-notebook0f2afd36f8", "kernel_id": "174706"}, {"ref": "sitalakshmi/notebook90dfccc802", "kernel_id": "143612"}, {"ref": "jishanbaig/titanic-data-science-solutions", "kernel_id": "246286"}, {"ref": "jishanbaig/notebook27360d52c7", "kernel_id": "107151"}, {"ref": "jishanbaig/notebook62d2b28ec7", "kernel_id": "96819"}, {"ref": "jishanbaig/a-journey-through-titanic", "kernel_id": "89489"}, {"ref": "anicolau/exploratory-tutorial-titanic", "kernel_id": "106601"}, {"ref": "anicolau/firtsscript", "kernel_id": "58389"}, {"ref": "teuscoelho/notebook-c2bba18c2f27f2747b13", "kernel_id": "22055"}, {"ref": "teuscoelho/notebook-3feacae63cf5e3553f54", "kernel_id": "22592"}, {"ref": "mnoguchi/titanic-pandas", "kernel_id": "27652"}, {"ref": "mnoguchi/titanic", "kernel_id": "27635"}, {"ref": "mnoguchi/notebook-3ad6f59721fb34c512f4", "kernel_id": "27636"}, {"ref": "mnoguchi/notebook-82580add4d3724857bd5", "kernel_id": "27637"}, {"ref": "iniykfrost/notebook-3d0287a35e4a5b0a18fd", "kernel_id": "63325"}, {"ref": "iniykfrost/disaster-init", "kernel_id": "63326"}, {"ref": "ericwang915/a-journey-through-titanic", "kernel_id": "134030"}, {"ref": "koppel/test123", "kernel_id": "105223"}, {"ref": "wuheng/notebook-aa1ef13375d85a65cad8", "kernel_id": "32012"}, {"ref": "wuheng/a-journey-through-titanic", "kernel_id": "34010"}, {"ref": "wuheng/notebook-87af47075bcfd0cc106b", "kernel_id": "39681"}, {"ref": "oliviama/titanic", "kernel_id": "241928"}, {"ref": "kevinhan0/script", "kernel_id": "29900"}, {"ref": "hntddt1/a-journey-through-titanic", "kernel_id": "25473"}, {"ref": "vikassingh1909/random-forest-survivors", "kernel_id": "46101"}, {"ref": "hitanshupande/random-forest-benchmark-r", "kernel_id": "105126"}, {"ref": "twinklesachdeva/notebook76a86222ad", "kernel_id": "215444"}, {"ref": "davidm20/notebook36246b5d2e", "kernel_id": "237819"}, {"ref": "rajiv13531/a-journey-through-titanic-e3e98340", "kernel_id": "98216"}, {"ref": "rajiv13531/a-journey-through-titanic-99a44be1", "kernel_id": "97897"}, {"ref": "rajiv13531/a-journey-through-titanic", "kernel_id": "97706"}, {"ref": "bshsuresh/notebook-226aea15c3447f8ab514", "kernel_id": "71606"}, {"ref": "fantasycheng/exploratory-tutorial-titanic", "kernel_id": "263976"}, {"ref": "fantasycheng/a-journey-through-titanic-bc3c8b6d", "kernel_id": "123238"}, {"ref": "fantasycheng/a-journey-through-titanic", "kernel_id": "109499"}, {"ref": "abenavs/notebook-0464309297d52eb953c7", "kernel_id": "24182"}, {"ref": "dauren95/notebook-bf9399afbcde064bfcf0", "kernel_id": "22264"}, {"ref": "dauren95/notebook-8f81633bd29020c9bbaa", "kernel_id": "22269"}, {"ref": "dauren95/trgfhgjgj", "kernel_id": "22270"}, {"ref": "dauren95/dauren", "kernel_id": "22260"}, {"ref": "gaelrichard/notebook-b66a66432c0863ab4a9e", "kernel_id": "26210"}, {"ref": "gaelrichard/titanic-gr", "kernel_id": "26211"}, {"ref": "amimaro/notebook3e3908247d", "kernel_id": "109422"}, {"ref": "ayooshmah/a-journey-through-titanic", "kernel_id": "26692"}, {"ref": "ayooshmah/notebook-adbfb61ccf17750cc030", "kernel_id": "26693"}, {"ref": "janga1997/titanic-best-working-classifier", "kernel_id": "138384"}, {"ref": "janga1997/titanic-best-working-classifier-8f9c400f", "kernel_id": "138837"}, {"ref": "jeffreygrover/notebook-25aa3cd5e62375523187", "kernel_id": "28172"}, {"ref": "sakenk/myfirstforest", "kernel_id": "22271"}, {"ref": "sakenk/random-forest", "kernel_id": "22247"}, {"ref": "angulia/notebook-83b69f2015b4f355f26a", "kernel_id": "49193"}, {"ref": "angulia/notebook-bc4d95d3da328f7bccdd", "kernel_id": "49194"}, {"ref": "angulia/notebook-d06484151911c693507a", "kernel_id": "49196"}, {"ref": "angulia/notebook-ff616a1278bff9d9cbbd", "kernel_id": "49197"}, {"ref": "angulia/notebook-68f8f95436a6cf9f3906", "kernel_id": "49198"}, {"ref": "angulia/notebook-cfd8cc4c1aab82015f28", "kernel_id": "49200"}, {"ref": "trhtran/a-journey-through-titanic", "kernel_id": "35762"}, {"ref": "muthu1086/notebook-3ac9adf06647ff32d986", "kernel_id": "23600"}, {"ref": "muthu1086/mplabs", "kernel_id": "23992"}, {"ref": "omarelgabry/notebook-70c087e6fc1a4009137c", "kernel_id": "23770"}, {"ref": "omarelgabry/notebook-23947a42378bc8c08635", "kernel_id": "23772"}, {"ref": "omarelgabry/a-journey-through-titanic", "kernel_id": "24037"}, {"ref": "omarelgabry/notebook-8dd07d107c124f8c15d7", "kernel_id": "24038"}, {"ref": "omarelgabry/notebook-b6c2a0fa4f8ee7c03cd6", "kernel_id": "24161"}, {"ref": "omarelgabry/notebookd2d68b6f1a", "kernel_id": "117849"}, {"ref": "omarelgabry/notebook-25737bf6ecadb6ab4011", "kernel_id": "74635"}, {"ref": "yhotdog/notebook-d820c3c67f96a163025f", "kernel_id": "48359"}, {"ref": "yhotdog/titanic-random-forests", "kernel_id": "48357"}, {"ref": "yhotdog/notebook-51ff3fd713a8cac839d9", "kernel_id": "49234"}, {"ref": "shatabdichoudhury/kaggle-first-ipythonnotebook", "kernel_id": "40192"}, {"ref": "shatabdichoudhury/notebook-c9deb1e6a6c54b8f1e2c", "kernel_id": "39183"}, {"ref": "shatabdichoudhury/a-journey-through-titanic", "kernel_id": "45511"}, {"ref": "yuanyepku/notebookea4d97a2dc", "kernel_id": "277268"}, {"ref": "datadynamo/notebook-87ef62d271059d407f74", "kernel_id": "27694"}, {"ref": "datadynamo/notebook-3e2b08a931f77812d6a5", "kernel_id": "27695"}, {"ref": "jasonmcboyd/my-titanic-scratchpad", "kernel_id": "75813"}, {"ref": "jasonmcboyd/notebook-80669bf5c3f7d6db07f6", "kernel_id": "75815"}, {"ref": "jasonmcboyd/notebook-f149b8e5ef1401825b7a", "kernel_id": "84717"}, {"ref": "aayushmittal/titanic-script", "kernel_id": "225108"}, {"ref": "arunkhattri/titanic-logistic-regression", "kernel_id": "707299"}, {"ref": "belovedcong/notebook-8b6dcce921fdbc36a71c", "kernel_id": "29231"}, {"ref": "ojasvi/rtitanicproblem", "kernel_id": "30822"}, {"ref": "ojasvi/rpart", "kernel_id": "31549"}, {"ref": "reneboy/sample-titanic-decision-tree", "kernel_id": "41355"}, {"ref": "perrylu21/basic-model-using-pandas-and-sklearn", "kernel_id": "98783"}, {"ref": "perrylu21/a-journey-through-titanic", "kernel_id": "100120"}, {"ref": "itzprintz/titanic-die", "kernel_id": "227385"}, {"ref": "nozzo1/my-titanic-r-entry-2", "kernel_id": "240010"}, {"ref": "nozzo1/titanic-randomforrest-v1-2", "kernel_id": "238520"}, {"ref": "mrguyorama/notebook-9c55d21bdd7f4093b313", "kernel_id": "23767"}, {"ref": "ammara/notebook-4a15ffe2476a1f483a2b", "kernel_id": "36687"}, {"ref": "ammara/titanic-competition-using-boosting", "kernel_id": "36254"}, {"ref": "ammara/titanic-competition-using-adaboost", "kernel_id": "36255"}, {"ref": "ammara/titanic-competition-using-svm", "kernel_id": "36257"}, {"ref": "ammara/titanic-competition-using-xgboost", "kernel_id": "36258"}, {"ref": "ammara/titanic-competition-script-using-rf-2", "kernel_id": "36249"}, {"ref": "ammara/titanic-competition-using-cparty", "kernel_id": "36251"}, {"ref": "vasilis73/classification-algorithms", "kernel_id": "538185"}, {"ref": "vasilis73/kernel1260b1e8c3", "kernel_id": "914932"}, {"ref": "ydmrain/yudemeirain", "kernel_id": "223059"}, {"ref": "chaityacshah/notebook-from-dml-meetup", "kernel_id": "97696"}, {"ref": "danieleewww/beginners-titanic", "kernel_id": "503169"}, {"ref": "fragnatic66/notebook-c9201805628374a2b302", "kernel_id": "22559"}, {"ref": "fragnatic66/notebook-90bc988270fde24b89b9", "kernel_id": "22560"}, {"ref": "motivic/notebooka3c951ecdd", "kernel_id": "228457"}, {"ref": "michaelcaramat/a-journey-through-titanic-e1ca3fc7", "kernel_id": "117984"}, {"ref": "michaelcaramat/a-journey-through-titanic", "kernel_id": "117211"}, {"ref": "ravichand/sample-svm-model-with-x-validation", "kernel_id": "52611"}, {"ref": "jstnphan/learning-python", "kernel_id": "75825"}, {"ref": "yamolekula/notebook-694a1d670853934f6d82", "kernel_id": "32074"}, {"ref": "yamolekula/notebook-4695a1f0582a8a6365c3", "kernel_id": "34563"}, {"ref": "yamolekula/my-attempts-py", "kernel_id": "34564"}, {"ref": "yamolekula/kaggle-titanic-001", "kernel_id": "34565"}, {"ref": "yamolekula/my-attempts", "kernel_id": "34558"}, {"ref": "yamolekula/randomforest-cforest-method-0-81818", "kernel_id": "34303"}, {"ref": "yamolekula/randomforest-cforest-method", "kernel_id": "34230"}, {"ref": "yamolekula/notebook-4e270bed6dfd33b8a357", "kernel_id": "33931"}, {"ref": "yamolekula/fscript", "kernel_id": "33922"}, {"ref": "yamolekula/notebook-3fe34af3db64bb0ad4cd", "kernel_id": "36347"}, {"ref": "yamolekula/notebook-2ccc742496a7ea74a818", "kernel_id": "35058"}, {"ref": "yamolekula/the-script-that-make-me-sad", "kernel_id": "35059"}, {"ref": "yamolekula/notebook-f61c85de96d831cd6360", "kernel_id": "35056"}, {"ref": "yamolekula/notebook-c782faccce72b2df9215", "kernel_id": "35067"}, {"ref": "yamolekula/notebook-c7bb287a0a31e8c882dd", "kernel_id": "35068"}, {"ref": "yamolekula/notebook-027e35d4a34e9cb28d13", "kernel_id": "35069"}, {"ref": "yamolekula/a-journey-through-titanic", "kernel_id": "99352"}, {"ref": "gaurav6351/notebookfca188f96e", "kernel_id": "172630"}, {"ref": "harshgod/harsh", "kernel_id": "58790"}, {"ref": "prajwal967/titanic", "kernel_id": "88467"}, {"ref": "ashishlakhani/a-journey-through-titanic", "kernel_id": "123186"}, {"ref": "ashishlakhani/a-journey-through-titanic-36765287", "kernel_id": "130008"}, {"ref": "superancetre/notebook-5ecc043468819bba9f4d", "kernel_id": "51092"}, {"ref": "superancetre/notebook-325a9e114239b38dfb0e", "kernel_id": "51103"}, {"ref": "superancetre/titanic-test", "kernel_id": "51019"}, {"ref": "nopthakorn/investigate-titanic-py", "kernel_id": "25520"}, {"ref": "nopthakorn/analys-titanic-data", "kernel_id": "26876"}, {"ref": "stardestroyer85/notebook-7cecb1d872ada4af2fcf", "kernel_id": "24707"}, {"ref": "rsjudka/testing", "kernel_id": "24694"}, {"ref": "rsjudka/testing-1", "kernel_id": "24698"}, {"ref": "srushtipai/titanic-survival-games", "kernel_id": "25017"}, {"ref": "sadeghjokar/notebookc08512dbcf", "kernel_id": "97165"}, {"ref": "sadeghjokar/notebooka0d29e3fd5", "kernel_id": "97439"}, {"ref": "sadeghjokar/decision-trees-sj", "kernel_id": "97395"}, {"ref": "sadeghjokar/notebook5e7c8afc74", "kernel_id": "97372"}, {"ref": "sadeghjokar/notebooka418d2c7f4", "kernel_id": "97497"}, {"ref": "sadeghjokar/notebook13b6758bc7", "kernel_id": "98995"}, {"ref": "philiphossu/tutorial-1-gender-based-model-0-7655", "kernel_id": "25014"}, {"ref": "philiphossu/notebook739075d14b", "kernel_id": "100951"}, {"ref": "jsalas4/workshop", "kernel_id": "24875"}, {"ref": "jsalas4/notebook-479e1f90faff1f521e58", "kernel_id": "24877"}, {"ref": "jsalas4/blahhhh", "kernel_id": "24878"}, {"ref": "jsalas4/notebook-102efa5b158ca8c2015a", "kernel_id": "24873"}, {"ref": "jsalas4/notebook-a20e478fdda229df64aa", "kernel_id": "24689"}, {"ref": "jsalas4/notebook-5740525cc2fbfc0b0870", "kernel_id": "24709"}, {"ref": "jsalas4/notebook-fb42fb6b66e38ecbf4ae", "kernel_id": "24724"}, {"ref": "mohsinh/marki", "kernel_id": "24701"}, {"ref": "mohsinh/notebook-719e4182ee3e3b28a189", "kernel_id": "24686"}, {"ref": "huangzhen1997/cs100demo", "kernel_id": "25012"}, {"ref": "huangzhen1997/tutorial-1-gender-based-model-0-7655", "kernel_id": "25041"}, {"ref": "huangzhen1997/gender-and-age-based-model", "kernel_id": "25093"}, {"ref": "mkotlyar/titanic-mikey-theo-hasani", "kernel_id": "24725"}, {"ref": "luigiassenza/survival-prediction-with-decision-tree", "kernel_id": "84015"}, {"ref": "nkgomm/notebook-15d52ed7655022f610c5", "kernel_id": "26329"}, {"ref": "nkgomm/kaggle-first-ipythonnotebook", "kernel_id": "26076"}, {"ref": "nkgomm/a-journey-through-titanic", "kernel_id": "26039"}, {"ref": "nkgomm/notebook-fd9ff14a835866d7e383", "kernel_id": "26041"}, {"ref": "nkgomm/notebook-c1206ffaff88a8eb3041", "kernel_id": "26042"}, {"ref": "nkgomm/kaggle-titanic-001", "kernel_id": "26037"}, {"ref": "nkgomm/notebook-a868bc47a5eaf144ed65", "kernel_id": "26062"}, {"ref": "nkgomm/notebook-bd03dbec1a177f3e01c4", "kernel_id": "26066"}, {"ref": "nkgomm/notebook-e32117551950c32e3d0c", "kernel_id": "25946"}, {"ref": "jellevde/trying-to-use-kernels", "kernel_id": "661864"}, {"ref": "dondapati/titanic-visualization", "kernel_id": "313603"}, {"ref": "mouna199/notebookfa5bd73b1f", "kernel_id": "236847"}, {"ref": "jacobfoard/notebook38f1b03cd0", "kernel_id": "208305"}, {"ref": "msgauthaman/notebook2803b2f122", "kernel_id": "220063"}, {"ref": "usersumit/first-kaggle-script-titanic", "kernel_id": "104814"}, {"ref": "charleshan/notebook-056da30b08e8300106d3", "kernel_id": "50914"}, {"ref": "utwodownson/notebook-82c80cd8e5d1765058d9", "kernel_id": "26659"}, {"ref": "farhanshariq1/notebookc112a6579a", "kernel_id": "242298"}, {"ref": "sheraf/notebook-a01b12fe9c61364777ab", "kernel_id": "27638"}, {"ref": "sheraf/notebook-557715b3f1c0c72dc851", "kernel_id": "27639"}, {"ref": "bhavikat/titanic-data-science-solutions", "kernel_id": "150473"}, {"ref": "mablic/train", "kernel_id": "69631"}, {"ref": "johnlee1001/kaggle-titanic-001", "kernel_id": "52712"}, {"ref": "johnlee1001/notebook-49bf29828197092657ae", "kernel_id": "52708"}, {"ref": "johnlee1001/notebook-87c59a6188960240314d", "kernel_id": "52709"}, {"ref": "johnlee1001/notebook-8340c9e850931b2bb76d", "kernel_id": "52710"}, {"ref": "johnlee1001/introduction-to-ensembling-stacking-in-python", "kernel_id": "277086"}, {"ref": "bastienhaller/titanic-dataset-caret", "kernel_id": "426866"}, {"ref": "lothor/age-vs-summary", "kernel_id": "22833"}, {"ref": "shiyiwang222/exploratory-data-analysis", "kernel_id": "71848"}, {"ref": "kristenhuber/titanic-best-working-classifier", "kernel_id": "138081"}, {"ref": "kristenhuber/study-of-tree-and-forest-algorithms", "kernel_id": "151663"}, {"ref": "kristenhuber/a-journey-through-titanic", "kernel_id": "130061"}, {"ref": "kristenhuber/i-m-flying-jack-soaring-through-titanic", "kernel_id": "129137"}, {"ref": "faamin/show-plot", "kernel_id": "207546"}, {"ref": "faamin/notebook3113d3fd95", "kernel_id": "207972"}, {"ref": "sajuas/fork-of-titanic-best-working-classifier", "kernel_id": "146883"}, {"ref": "sajuas/titanic-best-working-classifier", "kernel_id": "146867"}, {"ref": "fimalyst/a-journey-through-titanic", "kernel_id": "168009"}, {"ref": "lauramcannas/kaggle-datacamp-tutorial", "kernel_id": "243214"}, {"ref": "zachandtired/titanic-eda-regression-knn-rfc-and-grad-boost", "kernel_id": "447509"}, {"ref": "lingyuzhu/a-journey-through-titanic", "kernel_id": "154145"}, {"ref": "juanjomartin/titanic-01", "kernel_id": "22910"}, {"ref": "thellama/a-journey-through-titanic", "kernel_id": "130520"}, {"ref": "sheepdog/titanic", "kernel_id": "84007"}, {"ref": "studiocardo/notebook-bdc4bcb1dbd6934c9ccd", "kernel_id": "23937"}, {"ref": "lszhang/kaggle-titanic-001", "kernel_id": "23140"}, {"ref": "jonasbeullens/notebook-7a057446d7fb869f5ca9", "kernel_id": "50392"}, {"ref": "nagrajn/a-journey-through-titanic", "kernel_id": "114012"}, {"ref": "rinkeshchokshi/notebook-db4fc015bca83561e395", "kernel_id": "76941"}, {"ref": "noogakl81/titanic-script", "kernel_id": "96638"}, {"ref": "ug2409/titanic", "kernel_id": "118781"}, {"ref": "zengty/titanic", "kernel_id": "23466"}, {"ref": "zengty/notebook-065727dc4c106510d8aa", "kernel_id": "23467"}, {"ref": "ctrlaltdelete/notebook-25c3527ab0e9122897fb", "kernel_id": "38169"}, {"ref": "jklinger/notebook-93b018576dbd8c373bff", "kernel_id": "74692"}, {"ref": "jklinger/notebook-2b0d3137ab62000d28ab", "kernel_id": "62460"}, {"ref": "jklinger/notebook-02460141c8df6b6d5c3e", "kernel_id": "62446"}, {"ref": "jklinger/preliminary-investigation", "kernel_id": "62447"}, {"ref": "jklinger/understanding-example-csv-outputs", "kernel_id": "62441"}, {"ref": "mitake/kaggle-titanic-001", "kernel_id": "22988"}, {"ref": "mitake/notebook-1f7db9d074800dc3ea09", "kernel_id": "22989"}, {"ref": "mitake/notebook-ed7f9830a3ee148de7f6", "kernel_id": "22990"}, {"ref": "txwd0033/exploratory-tutorial-titanic", "kernel_id": "112751"}, {"ref": "txwd0033/an-interactive-data-science-tutorial", "kernel_id": "224730"}, {"ref": "jasonm/large-families-not-good-for-survival", "kernel_id": "23876"}, {"ref": "swchen0215/notebook-2f4feb9cd22f8408ac5c", "kernel_id": "23481"}, {"ref": "swchen0215/notebook-bfdee2bb9eb6ffcbc026", "kernel_id": "23458"}, {"ref": "rybo21/notebookb03159f436", "kernel_id": "85681"}, {"ref": "sharath58/notebook34f4db1490", "kernel_id": "160377"}, {"ref": "sharath58/a-journey-through-titanic", "kernel_id": "160371"}, {"ref": "sharath58/notebook83c095b57b", "kernel_id": "184062"}, {"ref": "sharath58/titanic-survival-prediction-random-forest", "kernel_id": "184063"}, {"ref": "rmessick/kingoftheworld", "kernel_id": "30608"}, {"ref": "kragle285/titanic-submission-2", "kernel_id": "25470"}, {"ref": "kragle285/titanic-dataset", "kernel_id": "24706"}, {"ref": "kragle285/tutorial-1-gender-based-model-0-76555", "kernel_id": "24715"}, {"ref": "kragle285/notebook-28fcfb488c6ee2a90196", "kernel_id": "24688"}, {"ref": "shashwat12/titanic-script-my-way", "kernel_id": "56426"}, {"ref": "gaohong/roy-s-titanic-notebook", "kernel_id": "115613"}, {"ref": "gaohong/roy-gao-s-practice", "kernel_id": "115515"}, {"ref": "vadapav/notebook-d5e0bf6c6f4e9b5e32d8", "kernel_id": "80911"}, {"ref": "sknaruto/first", "kernel_id": "35992"}, {"ref": "sknaruto/first-s", "kernel_id": "36169"}, {"ref": "sknaruto/preliminary-exploration", "kernel_id": "69424"}, {"ref": "xkl121/notebookcdb1e6667a", "kernel_id": "145822"}, {"ref": "zz7atan/notebook-b7699e3d6644367a69f6", "kernel_id": "27338"}, {"ref": "zz7atan/notebook-10d6e4393813e93c69a5", "kernel_id": "27339"}, {"ref": "zz7atan/kaggle-first-ipythonnotebook", "kernel_id": "27436"}, {"ref": "jason1/a-journey-through-titanic", "kernel_id": "43415"}, {"ref": "naejin/notebook-3f44d3711ee8c52a408b", "kernel_id": "32798"}, {"ref": "gsayer/notebook-232aa2d88060be8f4427", "kernel_id": "23092"}, {"ref": "mvarhola/cs-100-demo", "kernel_id": "24708"}, {"ref": "papabigcock/cs-100-titanic", "kernel_id": "24697"}, {"ref": "papabigcock/11110", "kernel_id": "25600"}, {"ref": "ftadros/cs100", "kernel_id": "24703"}, {"ref": "ftadros/notebook-d87ca644ddabbd866bbc", "kernel_id": "24691"}, {"ref": "ftadros/cs1-0303", "kernel_id": "24710"}, {"ref": "ftadros/notebook-22774537a3629ea82e64", "kernel_id": "24711"}, {"ref": "ftadros/notebook-88ba312d10d9fdc978cc", "kernel_id": "24712"}, {"ref": "ftadros/cs107", "kernel_id": "24721"}, {"ref": "kerruh/notebook-297e55dbdfd5d7ad4c40", "kernel_id": "24713"}, {"ref": "kerruh/praccs", "kernel_id": "25009"}, {"ref": "kerruh/notebook-5542b6afc377d6396b08", "kernel_id": "25037"}, {"ref": "kerruh/notebook-98d72c8ec9a281bd9a1a", "kernel_id": "25030"}, {"ref": "kerruh/mwfhurrah", "kernel_id": "25028"}, {"ref": "kerruh/tutorial-1-gender-based-model-0-76555", "kernel_id": "25044"}, {"ref": "garnav/trying", "kernel_id": "49791"}, {"ref": "mascotinme/notebook", "kernel_id": "158915"}, {"ref": "angieswanepoel/abcde", "kernel_id": "23576"}, {"ref": "mingweigu/titanic-mingwei", "kernel_id": "30937"}, {"ref": "lifeforrent/a-journey-through-titanic", "kernel_id": "171034"}, {"ref": "juverstraeten/titanic-test-5-decision-tree-w-cabin", "kernel_id": "24185"}, {"ref": "juverstraeten/titanic-test-4", "kernel_id": "24180"}, {"ref": "juverstraeten/titanic-test-3-decision-tree", "kernel_id": "23803"}, {"ref": "juverstraeten/notebook-e101fbaa34efca38e1e1", "kernel_id": "23720"}, {"ref": "juverstraeten/titanic-test-2", "kernel_id": "23723"}, {"ref": "simoboh/notebook-e83130a6645f6d3287af", "kernel_id": "31305"}, {"ref": "yuvalbaroz/notebook-fd5bd73d7bbad9c4c07c", "kernel_id": "54023"}, {"ref": "oav711/a-journey-through-titanic", "kernel_id": "186160"}, {"ref": "oav711/a-journey-through-titanic-70cfce", "kernel_id": "186166"}, {"ref": "oav711/a-journey-through-titanic-6c4140", "kernel_id": "186164"}, {"ref": "oav711/learn-ml-through-titanic", "kernel_id": "514282"}, {"ref": "mangalanks/an-interactive-data-science-tutorial", "kernel_id": "179274"}, {"ref": "bdcallen/titanic-knn-r", "kernel_id": "109293"}, {"ref": "trivikram18/titanic", "kernel_id": "925432"}, {"ref": "ships147/titenic-data", "kernel_id": "264285"}, {"ref": "jchachere/notebook8bf3c2793a", "kernel_id": "96727"}, {"ref": "ramlaki/titanic", "kernel_id": "79738"}, {"ref": "yingxiangjiang/titanic-data-science-solutions", "kernel_id": "151983"}, {"ref": "macaruchi/notebook-f6688153e9fd7c9a2cc2", "kernel_id": "73735"}, {"ref": "juanli/notebook-163156ec4ade73ef382b", "kernel_id": "24996"}, {"ref": "caspik/kaggle-titanic-001", "kernel_id": "31331"}, {"ref": "caspik/titanic", "kernel_id": "31329"}, {"ref": "dongheerhie/titanic-in-r", "kernel_id": "243078"}, {"ref": "apurveyajnik/notebook-4c6fe2ab630801d3f9c0", "kernel_id": "59080"}, {"ref": "vdnguyen/titanic", "kernel_id": "261143"}, {"ref": "mrmaksimize/notebook-353c0bf8de8f9787e9f3", "kernel_id": "23564"}, {"ref": "iserendipitous/notebookfc458f1740", "kernel_id": "134804"}, {"ref": "iserendipitous/notebookb587ad178a", "kernel_id": "134806"}, {"ref": "iserendipitous/notebook9cabc7987f", "kernel_id": "136078"}, {"ref": "iserendipitous/titanic-preprocessing-ml-tutorial", "kernel_id": "118116"}, {"ref": "iserendipitous/notebook33771fea40", "kernel_id": "140255"}, {"ref": "iserendipitous/notebook4755ed1be9", "kernel_id": "137346"}, {"ref": "akalur92/titanic-machine-learning-version2", "kernel_id": "48887"}, {"ref": "bernardas78/notebookae96e589fc", "kernel_id": "94836"}, {"ref": "nethask/notebooke5adb5f662", "kernel_id": "91367"}, {"ref": "alexandermol/notebook7f67cb36f5", "kernel_id": "246243"}, {"ref": "agarwalvivek92/draft1", "kernel_id": "238777"}, {"ref": "amansharma/notebook-d0eca728d2ee5d9a3f21", "kernel_id": "60617"}, {"ref": "congnie/titanic-data-science-solutions-01", "kernel_id": "227709"}, {"ref": "quakeroatsman/notebook-a60be3d1ac64deba323c", "kernel_id": "23675"}, {"ref": "bfactura/titanic-data-analysis-and-machine-learning", "kernel_id": "165278"}, {"ref": "nobunobunobu/notebook03b7f2f6af", "kernel_id": "238734"}, {"ref": "javadnoor/notebook1aebed9cb7", "kernel_id": "208484"}, {"ref": "javadnoor/my-fir", "kernel_id": "208491"}, {"ref": "javadnoor/notebook1cd6624f3a", "kernel_id": "208478"}, {"ref": "bigeyedestroyer/my-first-forked-notebook-in-kaggle", "kernel_id": "126817"}, {"ref": "bigeyedestroyer/fork-of-my-first-forked-notebook-in-kaggle", "kernel_id": "126820"}, {"ref": "bigeyedestroyer/a-journey-through-titanic", "kernel_id": "122166"}, {"ref": "bigeyedestroyer/fork-of-a-journey-through-titanic", "kernel_id": "122170"}, {"ref": "yinpatt/patrick-s-titanic", "kernel_id": "149117"}, {"ref": "gianlucacalamia/notebook-1adafb62de3b07580f34", "kernel_id": "31589"}, {"ref": "mantaray/a-journey-through-titanic-55e79a27", "kernel_id": "87642"}, {"ref": "ttychshenko/notebook-7878f2b1b443c54a13ea", "kernel_id": "25224"}, {"ref": "mbchap/hallo", "kernel_id": "33353"}, {"ref": "animesh371/introduction-to-ensembling-stacking-in-python", "kernel_id": "190129"}, {"ref": "rvignes75008/2nd-model-titanic", "kernel_id": "31704"}, {"ref": "rvignes75008/first-script-titanic", "kernel_id": "31685"}, {"ref": "rvignes75008/xgboost-python", "kernel_id": "31971"}, {"ref": "rvignes75008/gradientboost", "kernel_id": "31988"}, {"ref": "rvignes75008/learning-pandas", "kernel_id": "31780"}, {"ref": "rvignes75008/random-forest", "kernel_id": "31856"}, {"ref": "dharan/notebook-e7907ec99d3d815a1d14", "kernel_id": "24214"}, {"ref": "prasit/notebook-ad7162d5a20405c8f0eb", "kernel_id": "32642"}, {"ref": "prasit/notebook-b2cc2cd986ad0e6aac18", "kernel_id": "30989"}, {"ref": "prasit/notebook-e757b46e9133bdf2a249", "kernel_id": "30990"}, {"ref": "rmuellerjr03/random-forest-benchmark-r", "kernel_id": "29074"}, {"ref": "rmuellerjr03/notebook-e609340b20cfd6ea2d64", "kernel_id": "29075"}, {"ref": "wuchangjung/notebook5034c76d29", "kernel_id": "132498"}, {"ref": "southdee/a-journey-through-titanic", "kernel_id": "99140"}, {"ref": "ngbinghao/tester", "kernel_id": "23973"}, {"ref": "yananwu/introduction-to-ensembling-stacking-in-pyth-4efca6", "kernel_id": "194928"}, {"ref": "yananwu/titanic-data-science-solutions", "kernel_id": "185816"}, {"ref": "yananwu/introduction-to-ensembling-stacking-in-python", "kernel_id": "188389"}, {"ref": "pavchip/notebook-3196a65966dd932bb626", "kernel_id": "53546"}, {"ref": "pavchip/notebook-abedad6ac0fc18d62031", "kernel_id": "53547"}, {"ref": "pavchip/logistic-regression-cross-validation", "kernel_id": "53548"}, {"ref": "r02246013/notebook-6ca94cb9d0fbc17c4eb9", "kernel_id": "36003"}, {"ref": "chrisderv/notebook-e316db191993ffe9aa8f", "kernel_id": "66781"}, {"ref": "chrisderv/notebook-8e391f23e7fb61e98e71", "kernel_id": "66779"}, {"ref": "mantis1/trying-out-kaggle-notebook", "kernel_id": "40393"}, {"ref": "mantis1/notebook-8f98974ef9f7bd5ff65e", "kernel_id": "40397"}, {"ref": "gtrgdss/notebook-723fd56278531a9c9467", "kernel_id": "24495"}, {"ref": "udicuty/a-journey-through-titanic", "kernel_id": "96740"}, {"ref": "phitha/notebookf2d41944fc", "kernel_id": "109514"}, {"ref": "triplem/notebook-ee66ed60d0e85e458438", "kernel_id": "24039"}, {"ref": "triplem/notebook-3eb65ad0427443d438f1", "kernel_id": "24043"}, {"ref": "hiruz3n/titanictest1", "kernel_id": "52755"}, {"ref": "sachin2/sachin-titanic", "kernel_id": "62453"}, {"ref": "johnwang2461/notebook-eb2f01e837856ab8e63f", "kernel_id": "68832"}, {"ref": "francis7999/notebook-620b6323dfc08f2a84fe", "kernel_id": "25139"}, {"ref": "atallari/examplescript", "kernel_id": "24705"}, {"ref": "bosun001/titanic-r-01", "kernel_id": "99083"}, {"ref": "hiterstone/a-journey-through-titanic", "kernel_id": "106517"}, {"ref": "shzygmyx/a-journey-through-titanic-copy", "kernel_id": "164744"}, {"ref": "kirillgerman/notebookb609ee1da2", "kernel_id": "119681"}, {"ref": "tisfarah17/a-journey-through-titanic", "kernel_id": "151793"}, {"ref": "akaakaaka/notebookb37eaf5c19", "kernel_id": "110108"}, {"ref": "liangzp/thefirst", "kernel_id": "26466"}, {"ref": "liangzp/notebook-8259f94c8ad499bce4ba", "kernel_id": "26469"}, {"ref": "rohansadale/multiple-machine-learning-models", "kernel_id": "73677"}, {"ref": "lvrzhn/notebook-fb6726624cf32d39406e", "kernel_id": "28892"}, {"ref": "ravipandey/notebook1a90b1dd66", "kernel_id": "105182"}, {"ref": "ravipandey/first-exploration-in-r", "kernel_id": "105178"}, {"ref": "ravipandey/logistic-regression-in-r", "kernel_id": "105616"}, {"ref": "benjaryu/titanic-kaggle-1", "kernel_id": "24321"}, {"ref": "bcarloy/notebook-0427b1bdf38247a3f970", "kernel_id": "71008"}, {"ref": "jliuvt/a-journey-through-titanic", "kernel_id": "108989"}, {"ref": "dolphindumpling/introduction-to-ensembling-stacking-in-python", "kernel_id": "190269"}, {"ref": "youlitong/script-py", "kernel_id": "24827"}, {"ref": "youlitong/notebook-938d1125d3ec456ec383", "kernel_id": "24828"}, {"ref": "mt1064/test-titanic", "kernel_id": "89017"}, {"ref": "mt1064/test-script", "kernel_id": "88725"}, {"ref": "mt1064/test-other", "kernel_id": "88746"}, {"ref": "tratshidaho/notebook888903a715", "kernel_id": "245413"}, {"ref": "tratshidaho/testingtitanic", "kernel_id": "245415"}, {"ref": "jianglong608/notebook-b8b048d98bb7883f37f6", "kernel_id": "55222"}, {"ref": "jianglong608/notebook-0ad5abd5da188cfac7af", "kernel_id": "55212"}, {"ref": "snakeee/notebook-ea46a583942483ac28ed", "kernel_id": "24436"}, {"ref": "dloranc/notebook-5a442707388f225fa690", "kernel_id": "55521"}, {"ref": "dloranc/getting-started-with-python-i", "kernel_id": "55508"}, {"ref": "dloranc/getting-started-with-random-forests", "kernel_id": "56754"}, {"ref": "dloranc/getting-started-with-python-ii", "kernel_id": "56741"}, {"ref": "dloranc/02-model-titanic", "kernel_id": "58112"}, {"ref": "dloranc/02-model-with-fare-mean-titanic", "kernel_id": "58116"}, {"ref": "dloranc/02-model-without-fares-titanic", "kernel_id": "58117"}, {"ref": "dloranc/03-model-fix-titanic", "kernel_id": "58125"}, {"ref": "dloranc/03-model-titanic", "kernel_id": "58121"}, {"ref": "dloranc/04-model-titanic", "kernel_id": "58132"}, {"ref": "abskaro/notebook-e74c656d83e2675440e9", "kernel_id": "55047"}, {"ref": "abskaro/notebook-367996b3f4f9af75392a", "kernel_id": "55039"}, {"ref": "abskaro/notebook-9bb5732ebb48b0c78399", "kernel_id": "55040"}, {"ref": "abskaro/a-journey-through-titanic", "kernel_id": "55041"}, {"ref": "cjw0726/cjw-test", "kernel_id": "24649"}, {"ref": "shrutisingh15/notebook-9373860aeb9d737a87d8", "kernel_id": "29953"}, {"ref": "shrutisingh15/notebook-82eca9639d5c504767fc", "kernel_id": "29955"}, {"ref": "ronnypetson/notebookd3bdd39480", "kernel_id": "227615"}, {"ref": "murugesan/basic-r-modelling-script", "kernel_id": "68316"}, {"ref": "liorsidi/notebook-b8fdddd7647b40e5cdad", "kernel_id": "78958"}, {"ref": "liorsidi/notebook-0ece963ba259ec80cd7f", "kernel_id": "78960"}, {"ref": "liorsidi/notebook-a0270fdf05ecd170958e", "kernel_id": "78967"}, {"ref": "liorsidi/notebook-13e6304a6971db3d7081", "kernel_id": "78963"}, {"ref": "liorsidi/titanic1", "kernel_id": "78964"}, {"ref": "adamgibbons/titanicsubmission", "kernel_id": "27490"}, {"ref": "ivanseverin/notebook6c6d468f74", "kernel_id": "162801"}, {"ref": "yiizzz/notebook-c350232ef8de47a91f61", "kernel_id": "35904"}, {"ref": "yiizzz/notebook-973bbf60e05d03936d5f", "kernel_id": "35905"}, {"ref": "nisommer/test-scripts-notebook", "kernel_id": "24662"}, {"ref": "kabelan/notebook-32d6de8bb307a9d59abc", "kernel_id": "32527"}, {"ref": "andremarques/titanic-ds", "kernel_id": "54667"}, {"ref": "wenyikuang/first-notebook-for-titanic", "kernel_id": "213524"}, {"ref": "pierrehm/a-journey-through-titanic", "kernel_id": "101386"}, {"ref": "ankurbhartiya/notebook-9a76343fa4ecba25f631", "kernel_id": "24678"}, {"ref": "ankurbhartiya/titanicpy1", "kernel_id": "24679"}, {"ref": "ankurbhartiya/notebook-4e90b97e17737cca1f4e", "kernel_id": "24839"}, {"ref": "ankurbhartiya/notebook-b658b9668c269eb8282e", "kernel_id": "24854"}, {"ref": "ankurbhartiya/titanicpy2", "kernel_id": "24835"}, {"ref": "ankurbhartiya/notebook-3334d07db05c877d4ec8", "kernel_id": "24885"}, {"ref": "ankurbhartiya/titanicrandomforestspy", "kernel_id": "24886"}, {"ref": "ankurbhartiya/cleantitanic-py", "kernel_id": "24991"}, {"ref": "ankurbhartiya/notebook-5936546a7a3ab535fa30", "kernel_id": "24992"}, {"ref": "ankurbhartiya/plotting1-py", "kernel_id": "24993"}, {"ref": "micidr/notebook7078e5f5ab", "kernel_id": "211619"}, {"ref": "micidr/notebook32e75fb98f", "kernel_id": "228927"}, {"ref": "micidr/titanic-challenge", "kernel_id": "228928"}, {"ref": "thecodegod/titanic", "kernel_id": "24720"}, {"ref": "thecodegod/tiatanic", "kernel_id": "24700"}, {"ref": "fazfar/demo1", "kernel_id": "25005"}, {"ref": "fazfar/notebook-424aa85996a324e47923", "kernel_id": "25003"}, {"ref": "turkoh/notebook-8ec4247ac9702417ec4f", "kernel_id": "24735"}, {"ref": "archimitra/a-journey-through-titanic", "kernel_id": "28394"}, {"ref": "codefly/titanic-notebook-1", "kernel_id": "24813"}, {"ref": "varunpa/titanic-random-forest-82-78", "kernel_id": "215967"}, {"ref": "craigaddyman/titanic", "kernel_id": "24840"}, {"ref": "abhi04/notebook-bf26223d61587df8db53", "kernel_id": "37387"}, {"ref": "abhi04/notebook-a4e307e6695505a5e869", "kernel_id": "37403"}, {"ref": "frosty060609/notebook-65adef3acd69367496fc", "kernel_id": "38986"}, {"ref": "frosty060609/titanic", "kernel_id": "38968"}, {"ref": "dzh1991/1dsfsdff", "kernel_id": "24927"}, {"ref": "jhansell/titanic", "kernel_id": "28722"}, {"ref": "garbo999/a-journey-through-titanic", "kernel_id": "91598"}, {"ref": "somendra11/notebook-44ba3cfe8ced9b853ffe", "kernel_id": "32366"}, {"ref": "somendra11/test1", "kernel_id": "26706"}, {"ref": "somendra11/notebook-2d94f8e729690ec59a6b", "kernel_id": "26654"}, {"ref": "somendra11/first-script", "kernel_id": "26655"}, {"ref": "somendra11/notebook-d38c9bb78d624da79dcd", "kernel_id": "81528"}, {"ref": "somendra11/notebook-af03b7a35df8cac87cb5", "kernel_id": "81525"}, {"ref": "augustusmyc/study-of-tree-and-forest-algorithms", "kernel_id": "79718"}, {"ref": "olivierderuyver/test1", "kernel_id": "216693"}, {"ref": "scottlpartacz/notebook-f44585659d8ab6331bb8", "kernel_id": "25008"}, {"ref": "scottlpartacz/first-try", "kernel_id": "25011"}, {"ref": "scottlpartacz/brabu", "kernel_id": "25016"}, {"ref": "saruhz/saugatatitanic", "kernel_id": "25024"}, {"ref": "saruhz/tutorial-1-gender-based-model-0-7655", "kernel_id": "25018"}, {"ref": "raphaeldo/tutorial-1-gender-based-model-0-76555", "kernel_id": "25036"}, {"ref": "dmitriidatsenko/notebook998d07bb4a", "kernel_id": "249407"}, {"ref": "philiplessner/a-journey-through-titanic", "kernel_id": "29160"}, {"ref": "philiplessner/notebook-0669203d57f1232db5d3", "kernel_id": "29162"}, {"ref": "philiplessner/notebook-6055549ce8085401241d", "kernel_id": "29163"}, {"ref": "pjpaulpj/titanic", "kernel_id": "25110"}, {"ref": "antoniosilva/myfirstscript", "kernel_id": "52802"}, {"ref": "thomasmktong/notebook-6ef526d45006f4705a1f", "kernel_id": "49916"}, {"ref": "thomasmktong/titanic", "kernel_id": "49904"}, {"ref": "liqinglong/neural-networks-predicting-passengers-survived", "kernel_id": "132474"}, {"ref": "liqinglong/notebook6144b3e606", "kernel_id": "130777"}, {"ref": "znsvs1/a-journey-through-titanic", "kernel_id": "80539"}, {"ref": "gavarrajunanduri/a-journey-through-titanic", "kernel_id": "145771"}, {"ref": "stevendeng/notebook-da6cfe9850f4ca6ab3ee", "kernel_id": "49531"}, {"ref": "stevendeng/notebook-ae663cf689e6409fa9b6", "kernel_id": "49532"}, {"ref": "stevendeng/notebook-38fcaf16a1de75845518", "kernel_id": "49533"}, {"ref": "stevendeng/notebook-266ac9e61cea56d3fba0", "kernel_id": "49615"}, {"ref": "stevendeng/notebook-1653b2453c5ba6dcdf27", "kernel_id": "49541"}, {"ref": "lightspeedrich/a-journey-through-titanic", "kernel_id": "156317"}, {"ref": "triffid/notebook-73cc0f031efdc87cac59", "kernel_id": "33044"}, {"ref": "bberger94/titanic", "kernel_id": "25304"}, {"ref": "renaudy/notebook-eb43c8448a6019b9b663", "kernel_id": "63017"}, {"ref": "renaudy/test-titanic", "kernel_id": "27877"}, {"ref": "jackywong1825/notebook27a72636aa", "kernel_id": "218754"}, {"ref": "wxywxyyxw/a-journey-through-titanic", "kernel_id": "87904"}, {"ref": "wxywxyyxw/a-journey-through-titanic-0e81efe2", "kernel_id": "87905"}, {"ref": "wxywxyyxw/a-journey-through-titanic-e98bcd84", "kernel_id": "89014"}, {"ref": "wxywxyyxw/a-journey-through-titanic-3f0e8cfd", "kernel_id": "89025"}, {"ref": "wxywxyyxw/a-journey-through-titanic-1543a6e7", "kernel_id": "89743"}, {"ref": "cihancnr/a-journey-through-titanic", "kernel_id": "27777"}, {"ref": "chrgosset/introduction-to-ensembling-stacking-in-python", "kernel_id": "185909"}, {"ref": "chrgosset/notebook7522bdcc1c", "kernel_id": "185544"}, {"ref": "alexgomes3/notebook-1314d38ed9b4695a7f36", "kernel_id": "35055"}, {"ref": "alexgomes3/titanic-with-r-datacamp-tutorial", "kernel_id": "340428"}, {"ref": "zsorif/notebook-7eed18f19b102888e94b", "kernel_id": "25504"}, {"ref": "zsorif/train", "kernel_id": "25505"}, {"ref": "payambahr/notebook-a954c5d968d3a0d87262", "kernel_id": "63237"}, {"ref": "payambahr/notebook-35b8671f7ffe8a2fc7b8", "kernel_id": "63238"}, {"ref": "selvamjn/notebook-d5d6df56c1c3af0bb680", "kernel_id": "37377"}, {"ref": "selvamjn/decision-tree-visualization-submission", "kernel_id": "37378"}, {"ref": "selvamjn/sample-svm-model-with-x-validation", "kernel_id": "37400"}, {"ref": "selvamjn/notebook-e4b86f6d7adfa2fe4136", "kernel_id": "37401"}, {"ref": "terfilip/notebook-b03e6e8794dc8b811084", "kernel_id": "26889"}, {"ref": "terfilip/sample", "kernel_id": "60138"}, {"ref": "terfilip/titanic", "kernel_id": "60145"}, {"ref": "infinitelegend/notebook-09461822f1bc84584e3e", "kernel_id": "45627"}, {"ref": "kalinstoyanov/notebook57a6391dd8", "kernel_id": "125848"}, {"ref": "davidchris/notebook6e511a803d", "kernel_id": "269064"}, {"ref": "purplecoffee/titaniclogisticregression", "kernel_id": "28804"}, {"ref": "purplecoffee/notebook-a70ae3c6283b08d1fb76", "kernel_id": "28805"}, {"ref": "purplecoffee/notebook-3a1eeb670db56d8c201a", "kernel_id": "28806"}, {"ref": "purplecoffee/notebook-fd6a9e03b70cb06ae189", "kernel_id": "28807"}, {"ref": "purplecoffee/notebook-006d69bc7e614ca48c08", "kernel_id": "28808"}, {"ref": "ksknysn/deneme", "kernel_id": "249354"}, {"ref": "mattstringer/titanic-data-science-solutions", "kernel_id": "190239"}, {"ref": "thomaskahn/notebookd16ab63734", "kernel_id": "217104"}, {"ref": "amitkumarjaiswal/beginner-s-tutorial-to-titanic-using-scikit-learn", "kernel_id": "916831"}, {"ref": "apartmentguru/ujhojh", "kernel_id": "135616"}, {"ref": "apartmentguru/notebook-ef933966e52f24532f79", "kernel_id": "36262"}, {"ref": "apartmentguru/notebook-aaa9f4d5590d742fea49", "kernel_id": "37735"}, {"ref": "apartmentguru/aliens-and-the-titantic", "kernel_id": "37728"}, {"ref": "apartmentguru/notebook-296e3e31487b67bb1768", "kernel_id": "30430"}, {"ref": "apartmentguru/a-journey-through-titanic", "kernel_id": "30427"}, {"ref": "apartmentguru/test-1", "kernel_id": "60611"}, {"ref": "apartmentguru/notebook-a0481daa01b88cfb19e3", "kernel_id": "60627"}, {"ref": "jasonxie/titanic", "kernel_id": "49817"}, {"ref": "shubhamkumar13/notebooka9fff57c10", "kernel_id": "246961"}, {"ref": "exploitcat/titanic-work-using-decisiontree", "kernel_id": "29506"}, {"ref": "exploitcat/notebook-cf3ea99f18abe888a750", "kernel_id": "28669"}, {"ref": "impratik/a-journey-through-titanic", "kernel_id": "107346"}, {"ref": "impratik/a-journey-through-titanic-bb378dcd", "kernel_id": "108051"}, {"ref": "impratik/fork-of-kaggle-1", "kernel_id": "326937"}, {"ref": "mlfloyd390/a-journey-through-titanic", "kernel_id": "25759"}, {"ref": "mlfloyd390/titanic-notebook", "kernel_id": "25760"}, {"ref": "afournier/xgboost-example-python", "kernel_id": "215758"}, {"ref": "alasdairc/titanic", "kernel_id": "79835"}, {"ref": "geegeegeek/a-journey-through-titanic-e8e4ac0d", "kernel_id": "103140"}, {"ref": "museum/notebook-371ed6768c100cde9ad8", "kernel_id": "25880"}, {"ref": "museum/notebook-724fb2bc73352ad55951", "kernel_id": "25882"}, {"ref": "emotiv/a-journey-through-titanic", "kernel_id": "90409"}, {"ref": "emotiv/notebook-01e1c5bfa9679c1f0f74", "kernel_id": "29580"}, {"ref": "takumi0306/titanic-data-science-solutions", "kernel_id": "185395"}, {"ref": "liviastacey/notebook-ebee765e5a7791a99fcb", "kernel_id": "25920"}, {"ref": "liviastacey/notebook-9fbe57d46b0e739230ae", "kernel_id": "25921"}, {"ref": "liviastacey/notebook-fc292cdd49fdf3a8bf18", "kernel_id": "25922"}, {"ref": "jordyvl/notebook-22ac160eee8cce8969f1", "kernel_id": "74193"}, {"ref": "mastepau/testing", "kernel_id": "31442"}, {"ref": "mastepau/testing1", "kernel_id": "31445"}, {"ref": "alexisbercion/majority-voting-ensemble", "kernel_id": "242135"}, {"ref": "dynastyking/notebook-93aef5c810079fe96605", "kernel_id": "25974"}, {"ref": "dynastyking/something", "kernel_id": "25975"}, {"ref": "dynastyking/test1", "kernel_id": "26535"}, {"ref": "toastbruder/a-journey-through-titanic", "kernel_id": "178822"}, {"ref": "patron/titanic1", "kernel_id": "45614"}, {"ref": "martinxtm/notebook17cf245140", "kernel_id": "90620"}, {"ref": "wardje2812/notebookfa85572536", "kernel_id": "221353"}, {"ref": "uc18uc/lit-ml", "kernel_id": "26110"}, {"ref": "uc18uc/notebook-552986f269ca6b4ac628", "kernel_id": "26111"}, {"ref": "uc18uc/notebook-fa26fcac847dfb925991", "kernel_id": "26113"}, {"ref": "uc18uc/hogehoge", "kernel_id": "26120"}, {"ref": "uc18uc/notebook-6e87dc5bffd49db91f21", "kernel_id": "26123"}, {"ref": "uc18uc/notebook-76f1255f6ba8b4305a7e", "kernel_id": "26133"}, {"ref": "uc18uc/hogehoge11", "kernel_id": "26136"}, {"ref": "uc18uc/notebook-3fb7efcf8737a34af98d", "kernel_id": "26139"}, {"ref": "uc18uc/notebook-4910e5302591777a60d2", "kernel_id": "26140"}, {"ref": "uc18uc/notebook-d27ab8c0d7c824605cad", "kernel_id": "26146"}, {"ref": "uc18uc/notebook-4d79c932cc675c26a62b", "kernel_id": "26149"}, {"ref": "uc18uc/notebook-37a1d9cbd0618e3a8e5d", "kernel_id": "26157"}, {"ref": "uc18uc/notebook-e21f859b8a62bea7a657", "kernel_id": "26158"}, {"ref": "sakuragiyoshimasa/notebook-cf0adfdb4a43ebcd2409", "kernel_id": "26159"}, {"ref": "sakuragiyoshimasa/notebook-32a32e8ebd0d894f06b6", "kernel_id": "26160"}, {"ref": "sakuragiyoshimasa/script-py", "kernel_id": "26161"}, {"ref": "sakuragiyoshimasa/notebook-cdda1444a2e665a85f83", "kernel_id": "26150"}, {"ref": "sakuragiyoshimasa/notebook-10d81ec35cd85fa99491", "kernel_id": "26153"}, {"ref": "sakuragiyoshimasa/notebook-9c0a7be0d9f3e5ad768f", "kernel_id": "26147"}, {"ref": "sakuragiyoshimasa/notebook-44574a94b851da1ada70", "kernel_id": "26144"}, {"ref": "sakuragiyoshimasa/notebook-2ce3c88b0824d34e220f", "kernel_id": "26142"}, {"ref": "sakuragiyoshimasa/notebook-e393c65e97ab973ff191", "kernel_id": "26129"}, {"ref": "sakuragiyoshimasa/notebook-b51b940cfe17ec9c8748", "kernel_id": "26124"}, {"ref": "sakuragiyoshimasa/notebook-049f6ef8b39e1c8816ea", "kernel_id": "26126"}, {"ref": "sakuragiyoshimasa/lit-ml", "kernel_id": "26112"}, {"ref": "sakuragiyoshimasa/notebook-4e6edc3b71b6d9d31ac0", "kernel_id": "26115"}, {"ref": "sakuragiyoshimasa/notebook-e9160587a9c8609e3ed0", "kernel_id": "26118"}, {"ref": "tyoshida/notebook-c255a93323e171ff7e09", "kernel_id": "26162"}, {"ref": "tyoshida/lit-mlcode", "kernel_id": "26165"}, {"ref": "asakasa/lit-mlcode", "kernel_id": "26166"}, {"ref": "asakasa/notebook-d6cdd5110f5e75c378dd", "kernel_id": "26130"}, {"ref": "asakasa/notebook-0f2b755bba86db8d37d3", "kernel_id": "26138"}, {"ref": "asakasa/notebook-60c9539fcde42d74148f", "kernel_id": "26193"}, {"ref": "asakasa/notebook-fd4461fb83a336bae519", "kernel_id": "26119"}, {"ref": "asakasa/notebook-ea57f594be88a17644ee", "kernel_id": "26116"}, {"ref": "asakasa/notebook-dee48643d4ccc17bfa7f", "kernel_id": "26127"}, {"ref": "asakasa/notebook-2fd2346d8c3c882515b6", "kernel_id": "26122"}, {"ref": "karushi/lit-ml", "kernel_id": "26109"}, {"ref": "karushi/notebook-6bc518f59f5a457f1dc6", "kernel_id": "26128"}, {"ref": "karushi/notebook-0e57e7899f8be35af7f2", "kernel_id": "26114"}, {"ref": "karushi/notebook-3c2eea60438b824b1e85", "kernel_id": "26180"}, {"ref": "karushi/notebook-b8355d07417b98d144d0", "kernel_id": "26181"}, {"ref": "karushi/notebook-0fae50da4d51caf8ef88", "kernel_id": "26183"}, {"ref": "karushi/notebook-a74dcc6971e45511d39b", "kernel_id": "26185"}, {"ref": "karushi/notebook-35c7f91d72b9dacccc1b", "kernel_id": "26187"}, {"ref": "karushi/notebook-8a5cf6e3af96818983d8", "kernel_id": "26189"}, {"ref": "karushi/notebook-60d39b0d6bcd40e349c6", "kernel_id": "26170"}, {"ref": "karushi/notebook-8c94fd43cdb3686b7935", "kernel_id": "26172"}, {"ref": "karushi/notebook-6733e6ac177d318a98db", "kernel_id": "26173"}, {"ref": "karushi/notebook-33fc36525869bb625862", "kernel_id": "26176"}, {"ref": "karushi/notebook-259c2d09f1b45d0bf1a3", "kernel_id": "26177"}, {"ref": "karushi/notebook-5447c6945a8b61361d90", "kernel_id": "26131"}, {"ref": "karushi/notebook-bd18c515184aabe904a5", "kernel_id": "26134"}, {"ref": "karushi/notebook-bcf3f9ac99173ffa8f25", "kernel_id": "26135"}, {"ref": "karushi/notebook-f56352abd12f3c7a49ef", "kernel_id": "26143"}, {"ref": "karushi/notebook-02797ed6be863ffa453c", "kernel_id": "26141"}, {"ref": "karushi/notebook-1ceb0b815368cbf25078", "kernel_id": "26148"}, {"ref": "karushi/notebook-7baa3c1f53734c4b0e71", "kernel_id": "26167"}, {"ref": "karushi/notebook-1bfa3ac01021094c9c67", "kernel_id": "26168"}, {"ref": "karushi/notebook-d1bb2961b351ca283fe8", "kernel_id": "26154"}, {"ref": "karushi/notebook-f05838847ce9aeb65bf8", "kernel_id": "26155"}, {"ref": "karushi/notebook-8d254fd610a5b55e21e0", "kernel_id": "26156"}, {"ref": "karushi/notebook-74959b9263d86c48143d", "kernel_id": "26151"}, {"ref": "karushi/notebook-2375a79bc5722ed75a1b", "kernel_id": "26152"}, {"ref": "hal0taso/lit-mlcode", "kernel_id": "26179"}, {"ref": "tsuyoppe/lit-mlcode", "kernel_id": "26174"}, {"ref": "tsuyoppe/notebook-ad7a458669d672a4e4e7", "kernel_id": "26145"}, {"ref": "tsuyoppe/notebook-777f89537e3ee8fa230e", "kernel_id": "26137"}, {"ref": "tsuyoppe/notebook-636061695503fe7902b2", "kernel_id": "26132"}, {"ref": "tsuyoppe/notebook-6435178e551ca68e6d32", "kernel_id": "26117"}, {"ref": "tsuyoppe/notebook-86e4a404a2c9dd5722ef", "kernel_id": "26125"}, {"ref": "tsuyoppe/notebook-bda46b4b5c237c3ee4e2", "kernel_id": "26121"}, {"ref": "tsuyoppe/lit-ml", "kernel_id": "26108"}, {"ref": "enkaism/lit-mlcode", "kernel_id": "26182"}, {"ref": "omargh/notebook-2b1b076f1d767f48aeed", "kernel_id": "30030"}, {"ref": "agkulkarni2103/notebook-af4cc407683c7350c5e6", "kernel_id": "32806"}, {"ref": "shubahm/a-journey-through-titanic", "kernel_id": "172511"}, {"ref": "shubahm/notebook0e4aefaa10", "kernel_id": "213871"}, {"ref": "life2short/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "163345"}, {"ref": "cassan/notebookb8bb431cea", "kernel_id": "142053"}, {"ref": "cassan/notebook8c8989a999", "kernel_id": "141594"}, {"ref": "henviso/a-journey-through-titanic", "kernel_id": "138530"}, {"ref": "swordart/notebook-8d5842509c74f49c7c3d", "kernel_id": "26657"}, {"ref": "bubica/notebookc4e7b4c358", "kernel_id": "95750"}, {"ref": "bubica/exploring-survival-on-the-titanic", "kernel_id": "95756"}, {"ref": "rafaeldurana/a-journey-through-titanic", "kernel_id": "158101"}, {"ref": "jeikei/notebook-fb3ac5c66231edbab59a", "kernel_id": "34215"}, {"ref": "xiawei/notebook-5c90861ed34179fc5082", "kernel_id": "43901"}, {"ref": "xiawei/testrf-1", "kernel_id": "43950"}, {"ref": "xiawei/test-rf22", "kernel_id": "43952"}, {"ref": "xiawei/atext-rf-1", "kernel_id": "43953"}, {"ref": "robinsu/titanic-data-science-solutions", "kernel_id": "227960"}, {"ref": "umriyaev/getting-started", "kernel_id": "67282"}, {"ref": "cyecandyds/titanic1", "kernel_id": "159651"}, {"ref": "ld0404/notebook616d2fa28a", "kernel_id": "193290"}, {"ref": "ld0404/titaic-temp1", "kernel_id": "188054"}, {"ref": "maxibloba/notebook-c268261201235b274d21", "kernel_id": "28557"}, {"ref": "maxibloba/notebook-e8d09d653502658e44d2", "kernel_id": "28458"}, {"ref": "maxibloba/notebook-e3a7bc2ee95feb19bb31", "kernel_id": "28466"}, {"ref": "maxibloba/hello", "kernel_id": "28467"}, {"ref": "maxibloba/notebook-0d57cf5b306f41cd40e7", "kernel_id": "28473"}, {"ref": "colinjohnston/a-journey-through-titanic", "kernel_id": "101670"}, {"ref": "hefeiqiu/a-journey-through-titanic", "kernel_id": "172317"}, {"ref": "wuhongle/scikit-learn-ml-from-start-to-finish", "kernel_id": "216363"}, {"ref": "anirudhkunte/titanic", "kernel_id": "115950"}, {"ref": "arthurlin/a-journey-through-titanic", "kernel_id": "181665"}, {"ref": "abhinavl/notebook256af354f0", "kernel_id": "210221"}, {"ref": "mathieu2312/notebook-d73d8c2f5eba072e4508", "kernel_id": "45364"}, {"ref": "thebardofcodes/scikit-learn-ml-from-start-to-finish-a624ea27", "kernel_id": "89186"}, {"ref": "thebardofcodes/scikit-learn-ml-from-start-to-finish-53c366aa", "kernel_id": "89088"}, {"ref": "thebardofcodes/scikit-learn-ml-from-start-to-finish", "kernel_id": "88945"}, {"ref": "yougaindra/notebook-aff6b512ea8c03c2af2b", "kernel_id": "30697"}, {"ref": "anaquib/titanic-data-science-solutions-4f0d4e", "kernel_id": "229642"}, {"ref": "easonl/notebook-a7f2bd355b78fb6066ff", "kernel_id": "27086"}, {"ref": "easonl/kaggle-titanic-001", "kernel_id": "27083"}, {"ref": "easonl/notebook-fb16da7c071eda6f33b0", "kernel_id": "27084"}, {"ref": "easonl/test-fork-001", "kernel_id": "27088"}, {"ref": "tomliau33/titanickeras", "kernel_id": "209005"}, {"ref": "tomliau33/learning-from-exploratory-tutorial-titanic", "kernel_id": "207853"}, {"ref": "lenawon/notebook-3b4a60216012847ee2c4", "kernel_id": "27238"}, {"ref": "vivekgupta/an-interactive-data-science-tutorial", "kernel_id": "174069"}, {"ref": "rooierakker/a-journey-through-titanic", "kernel_id": "229560"}, {"ref": "haykirstin/a-journey-through-titanic", "kernel_id": "120599"}, {"ref": "atnguyen/first-try", "kernel_id": "28107"}, {"ref": "atnguyen/notebook-a579f4942ce30a15b647", "kernel_id": "29454"}, {"ref": "danbarros/notebook-17d7a73eabebd6ac8d7b", "kernel_id": "28417"}, {"ref": "franklindong/a-journey-through-titanic-cb016d1e", "kernel_id": "104061"}, {"ref": "franklindong/a-journey-through-titanic-e63544ab", "kernel_id": "110035"}, {"ref": "franklindong/a-journey-through-titanic", "kernel_id": "102014"}, {"ref": "franklindong/a-journey-through-titanic-05fd4755", "kernel_id": "102091"}, {"ref": "mkeldridge/dataquest-intro", "kernel_id": "174403"}, {"ref": "mkeldridge/dataquest-random-forests", "kernel_id": "174576"}, {"ref": "schubbei/titanic", "kernel_id": "27230"}, {"ref": "yangjiulang/notebook154b60d325", "kernel_id": "197471"}, {"ref": "seandot7/titanic-logistic-regression", "kernel_id": "107981"}, {"ref": "rskulkar/notebook-a66eca7a7ec0a1b3b2fd", "kernel_id": "28075"}, {"ref": "jessie0712/notebook-cc8710564b4657808d4c", "kernel_id": "29177"}, {"ref": "rutgerclaes/notebook-5fed84f5a480bd44fbcb", "kernel_id": "27336"}, {"ref": "solteszjozsef/notebook-ed4d68eb2d5f2a7d17d7", "kernel_id": "27812"}, {"ref": "draschemus/notebook-78b21e5f63e024bd9d88", "kernel_id": "53881"}, {"ref": "draschemus/sample", "kernel_id": "53877"}, {"ref": "draschemus/notebook-d4663b3903732f3acc5b", "kernel_id": "44329"}, {"ref": "draschemus/notebook-788410b31b82c058583b", "kernel_id": "44287"}, {"ref": "draschemus/notebook-7e63eb02efe981773956", "kernel_id": "44290"}, {"ref": "draschemus/notebook-3e2e09d90c4769db17e0", "kernel_id": "44291"}, {"ref": "draschemus/notebook-7098a315aae60dd75e31", "kernel_id": "44302"}, {"ref": "draschemus/notebook-4cf657bfb8bb3fe0a5f3", "kernel_id": "44279"}, {"ref": "abhayraj/a-journey-through-titanic", "kernel_id": "27380"}, {"ref": "jianangail/notebookdb7d49280e", "kernel_id": "160552"}, {"ref": "jianangail/notebookd6a3ca79cb", "kernel_id": "160553"}, {"ref": "stephenlee/notebook-58800aea2fbd6b9931c4", "kernel_id": "45589"}, {"ref": "stephenlee/notebook-dfc15bd13f475fabc318", "kernel_id": "45590"}, {"ref": "stephenlee/notebook-6d3c4da7307b83b2e7b9", "kernel_id": "45591"}, {"ref": "stephenlee/notebook-cf3b08d747d0e309e138", "kernel_id": "45414"}, {"ref": "stephenlee/notebook-4c7f3ced59a0452f17c8", "kernel_id": "45416"}, {"ref": "kytrick/a-journey-through-titanic", "kernel_id": "187430"}, {"ref": "tanyouweismile/introduction-to-ensembling-stacking-in-pyth-751ab2", "kernel_id": "190490"}, {"ref": "tanyouweismile/introduction-to-ensembling-stacking-in-pyth-b4c8d2", "kernel_id": "190492"}, {"ref": "tanyouweismile/introduction-to-ensembling-stacking-in-pyth-9b4322", "kernel_id": "190493"}, {"ref": "tanyouweismile/introduction-to-ensembling-stacking-in-pyth-890b42", "kernel_id": "190494"}, {"ref": "tanyouweismile/introduction-to-ensembling-stacking-in-python", "kernel_id": "190480"}, {"ref": "tanyouweismile/introduction-to-ensembling-stacking-in-pyth-a56c70", "kernel_id": "190482"}, {"ref": "bdyjkb/titanic-data-science-solutions-cloned", "kernel_id": "172469"}, {"ref": "bdyjkb/an-interactive-data-science-tutorial", "kernel_id": "171544"}, {"ref": "dobardan/kaggle-titanic-001", "kernel_id": "32322"}, {"ref": "kummie/notebookc8c9a3742d", "kernel_id": "193278"}, {"ref": "kummie/notebook024d91c885", "kernel_id": "193279"}, {"ref": "nathanb/xgboost", "kernel_id": "38342"}, {"ref": "jgcasatejada/primero", "kernel_id": "30654"}, {"ref": "sergioe21/notebook-886159cc47c6cbf5825f", "kernel_id": "28621"}, {"ref": "tsingcoo/r-version-1-1", "kernel_id": "31842"}, {"ref": "agzamovr/introduction-to-ensembling-stacking-in-python", "kernel_id": "196617"}, {"ref": "hackpoetic/notebookaa28276108", "kernel_id": "158727"}, {"ref": "hackpoetic/notebook026a50e399", "kernel_id": "158658"}, {"ref": "zijguan/traveling-alone-or-with-family", "kernel_id": "29368"}, {"ref": "zijguan/notebook-4fd0e189e73de399aa11", "kernel_id": "29376"}, {"ref": "jkmsmith33/notebook-c568cebd4a4b41e770da", "kernel_id": "33239"}, {"ref": "jkmsmith33/notebook-56396972b80719c6641f", "kernel_id": "33240"}, {"ref": "bhairavm/firsttest", "kernel_id": "70301"}, {"ref": "thirumalvt/notebook-cc80d1d91d80e2a2a0af", "kernel_id": "27752"}, {"ref": "a12patel/notebook-9ebdf5d7d14a5c026810", "kernel_id": "28392"}, {"ref": "a12patel/notebook-f59fa3cc2090bd26d883", "kernel_id": "28393"}, {"ref": "vaibhavlaturkar/notebooka14c3ecf75", "kernel_id": "252389"}, {"ref": "vaibhavlaturkar/notebook-f9efb28734772fa279f6", "kernel_id": "28133"}, {"ref": "grksriram/notebook-8e35bbe1818f65f3ff95", "kernel_id": "82844"}, {"ref": "ritaotao/a-journey-through-titanic", "kernel_id": "56492"}, {"ref": "ritaotao/notebook-c9901ba32818aba966ea", "kernel_id": "56494"}, {"ref": "ritaotao/first-kaggle-script", "kernel_id": "39597"}, {"ref": "kolapkarda/notebook-0bc887740719bd00c49d", "kernel_id": "33005"}, {"ref": "kolapkarda/scripts-for-fiest", "kernel_id": "35491"}, {"ref": "kolapkarda/notebook141b43cacd", "kernel_id": "202766"}, {"ref": "kolapkarda/notebook8338b5d43d", "kernel_id": "205433"}, {"ref": "carlhong/a-journey-through-titanic", "kernel_id": "27848"}, {"ref": "legkiy/notebook1b98d9f014", "kernel_id": "261479"}, {"ref": "amarbayasgalan/projectz", "kernel_id": "28166"}, {"ref": "rahamoon/titanic", "kernel_id": "69226"}, {"ref": "rahamoon/notebook-508fd0f9969db5a4f796", "kernel_id": "69238"}, {"ref": "gamecode23/exploring-tensorflow-and-titanic-dataset", "kernel_id": "210602"}, {"ref": "jezifm/notebook-04302b6e7bdf7888a7dc", "kernel_id": "29813"}, {"ref": "mgajewski/titanic-basic-data-exploration", "kernel_id": "708216"}, {"ref": "ravilehri/notebook-95806e19e92f809f1beb", "kernel_id": "29230"}, {"ref": "wen974/notebook9c715cb2b5", "kernel_id": "228320"}, {"ref": "hungtaoc/a-journey-through-titanic", "kernel_id": "34212"}, {"ref": "kyohei0429/notebook7571bf188f", "kernel_id": "103733"}, {"ref": "randywake/notebook6ea02355a6", "kernel_id": "238795"}, {"ref": "zjxyl25/notebookffb0c2b337", "kernel_id": "234355"}, {"ref": "zjxyl25/notebook29fe8cb1aa", "kernel_id": "234367"}, {"ref": "kkelly6/notebook-315df4906c4cf839331f", "kernel_id": "57376"}, {"ref": "sadeus/notebook-76840b32f460cce6cca4", "kernel_id": "28552"}, {"ref": "sadeus/titanic-kaggle-sschiavinato", "kernel_id": "32005"}, {"ref": "sadeus/notebook-32ebd437710624438852", "kernel_id": "45530"}, {"ref": "malcolmsun/a-journey-through-titanic", "kernel_id": "28460"}, {"ref": "evitbolt/evi-is-so-smart", "kernel_id": "33352"}, {"ref": "netmerc/my-script", "kernel_id": "33351"}, {"ref": "netmerc/muh-fren", "kernel_id": "34461"}, {"ref": "dhouse/titanic-yongjip-kim", "kernel_id": "105949"}, {"ref": "kakusuke/titanic", "kernel_id": "30348"}, {"ref": "kakusuke/titanic2", "kernel_id": "65986"}, {"ref": "kakusuke/titanic3", "kernel_id": "65997"}, {"ref": "kyungtae/notebook-cd1b1288e3dd38f61e94", "kernel_id": "30342"}, {"ref": "kyungtae/notebook-b40d9bccb124bb99e139", "kernel_id": "30384"}, {"ref": "kyungtae/notebook-e2278685670f6ad2ce6a", "kernel_id": "30478"}, {"ref": "kyungtae/notebook-3094523aee05d041d545", "kernel_id": "30503"}, {"ref": "kyungtae/notebook-48d27695d4a237c1f1ab", "kernel_id": "29838"}, {"ref": "kyungtae/notebook-8b6cadf9a5199bc1667c", "kernel_id": "29839"}, {"ref": "kyungtae/notebook-e68dfd5e5417fbc803dd", "kernel_id": "29827"}, {"ref": "kyungtae/titanic-problem", "kernel_id": "29800"}, {"ref": "kyungtae/notebook-0ffdc5b0e41b208b1c66", "kernel_id": "29995"}, {"ref": "kyungtae/notebook-a73a06718527cfed4284", "kernel_id": "29962"}, {"ref": "kennethmak/a-journey-through-titanic", "kernel_id": "28468"}, {"ref": "kennethmak/notebook-29e2c86886454e7fd935", "kernel_id": "28469"}, {"ref": "kennethmak/kaggle-titanic-001", "kernel_id": "28471"}, {"ref": "kennethmak/notebook-77b80396a18c4c5db92e", "kernel_id": "28600"}, {"ref": "kennethmak/notebook-9b9daffdbdf5f6c10058", "kernel_id": "28595"}, {"ref": "kennethmak/notebook-7145da1e30d90ea1dab9", "kernel_id": "28596"}, {"ref": "kennethmak/notebook-1c7ba7f95c96316417f2", "kernel_id": "28597"}, {"ref": "kennethmak/notebook-9f2a519e037a80d2fa4a", "kernel_id": "31365"}, {"ref": "kigawas/hello-kaggle", "kernel_id": "202343"}, {"ref": "rbvictor/titanic-notebook", "kernel_id": "38913"}, {"ref": "mattskone/notebook0e3bf7021f", "kernel_id": "143357"}, {"ref": "mattskone/getting-familiar-with-kaggle", "kernel_id": "143634"}, {"ref": "kramerkramer/notebook-918fad3e4b75bb9fa626", "kernel_id": "28527"}, {"ref": "justingosses/notebook-24ca95c4ff2103be81ec", "kernel_id": "28610"}, {"ref": "justingosses/notebook-208ebd04652d933e93ed", "kernel_id": "28611"}, {"ref": "justingosses/notebook-f8129adeeb6484803ed1", "kernel_id": "28612"}, {"ref": "justingosses/notebook-b755f6c5874e62fa46ce", "kernel_id": "28613"}, {"ref": "justingosses/notebook-e93ccb05c01ab99a306e", "kernel_id": "28614"}, {"ref": "justingosses/test-v1-tutorial", "kernel_id": "28615"}, {"ref": "tasharafna/a-journey-through-titanic", "kernel_id": "100248"}, {"ref": "shababa/notebookdafeb9806c", "kernel_id": "211826"}, {"ref": "oailton/notebook-6e31363a6f497bcca08b", "kernel_id": "28674"}, {"ref": "oailton/notebook-b8760df8d1b56f95e94a", "kernel_id": "28675"}, {"ref": "jasjotiitr/study-of-tree-and-forest-algorithms", "kernel_id": "67191"}, {"ref": "jasjotiitr/notebook-8cf6deb15406cd1690c4", "kernel_id": "67270"}, {"ref": "victorwhz/titanic-1", "kernel_id": "202993"}, {"ref": "victorwhz/notebook681c6acb62", "kernel_id": "205238"}, {"ref": "victorwhz/notebook1a7a07f1f2", "kernel_id": "237792"}, {"ref": "victorwhz/notebook2a55d4d2f4", "kernel_id": "233395"}, {"ref": "victorwhz/notebooke1083a7420", "kernel_id": "233398"}, {"ref": "mredmundto/testing-the-fork", "kernel_id": "238315"}, {"ref": "mredmundto/helloworld-mredmundto", "kernel_id": "111084"}, {"ref": "mredmundto/hello-world", "kernel_id": "111070"}, {"ref": "jviveret/notebook8ef6d4e2c0", "kernel_id": "88518"}, {"ref": "jviveret/notito", "kernel_id": "88519"}, {"ref": "div5yesh/ml-for-dummies-predict-survival-on-the-titanic", "kernel_id": "214699"}, {"ref": "himanshusanghi/titanic-data-science-solutions", "kernel_id": "179226"}, {"ref": "tanejamohit/titanic", "kernel_id": "28736"}, {"ref": "stardustsky/notebook1c540bd260", "kernel_id": "220852"}, {"ref": "artemmesha/notebook-342747b4701e274989ee", "kernel_id": "28787"}, {"ref": "juditb/notebook475fcf1784", "kernel_id": "96976"}, {"ref": "mikkolj1/testi", "kernel_id": "48312"}, {"ref": "wangzuo/a-journey-through-titanic", "kernel_id": "175486"}, {"ref": "yanglinlee/notebook-983a8468d4e7aa98bb3d", "kernel_id": "30860"}, {"ref": "yanglinlee/notebook-2ddd63af036c97fd4f61", "kernel_id": "30861"}, {"ref": "yanglinlee/kaggle-titanic-001", "kernel_id": "30780"}, {"ref": "dearkafka/oscar-wala-actor", "kernel_id": "92893"}, {"ref": "datanerd0/titanic-data-science-solutions", "kernel_id": "187992"}, {"ref": "datanerd0/titanic-data-science-solutions-b011e4", "kernel_id": "192871"}, {"ref": "datanerd0/notebookc2d4c33e85", "kernel_id": "192898"}, {"ref": "datanerd0/a-journey-through-titanic", "kernel_id": "189279"}, {"ref": "datanerd0/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "189280"}, {"ref": "datanerd0/an-interactive-data-science-tutorial", "kernel_id": "189282"}, {"ref": "datanerd0/exploratory-tutorial-titanic", "kernel_id": "189286"}, {"ref": "datanerd0/exploratory-tutorial-titanic-16028c", "kernel_id": "189288"}, {"ref": "datanerd0/introduction-to-ensembling-stacking-in-python", "kernel_id": "189277"}, {"ref": "datanerd0/kaggle-titanic-001", "kernel_id": "189450"}, {"ref": "datanerd0/study-of-tree-and-forest-algorithms", "kernel_id": "189453"}, {"ref": "datanerd0/titanic-passenger-survival", "kernel_id": "189454"}, {"ref": "datanerd0/titanic-with-adaboost", "kernel_id": "189563"}, {"ref": "jashimbd/notebook-9870fa13793e86b6023a", "kernel_id": "71597"}, {"ref": "jashimbd/titanic-disaster", "kernel_id": "71598"}, {"ref": "jashimbd/notebook-4241373d954d8df0f8e0", "kernel_id": "69154"}, {"ref": "jashimbd/notebook-5019db3f36aa80fb1033", "kernel_id": "69116"}, {"ref": "jashimbd/notebook-b64ee136672e520d1134", "kernel_id": "56065"}, {"ref": "jashimbd/titanic-ml", "kernel_id": "38010"}, {"ref": "jashimbd/installed-python-packages", "kernel_id": "37361"}, {"ref": "jashimbd/python-seaborn-pairplot-example", "kernel_id": "37362"}, {"ref": "lxtmyworld/test-1", "kernel_id": "265393"}, {"ref": "nodp53/notebook-fba607f63c99f498b9b9", "kernel_id": "39676"}, {"ref": "vivekwisdom/an-interactive-data-science-tutorial", "kernel_id": "174153"}, {"ref": "vivekwisdom/titanic-data-science-solutions", "kernel_id": "296923"}, {"ref": "mmaria/notebookeec6163e30", "kernel_id": "240742"}, {"ref": "mmaria/titanic-based-on-tutorial", "kernel_id": "240772"}, {"ref": "mmaria/an-interactive-data-science-tutorial", "kernel_id": "240779"}, {"ref": "mmaria/notebook1eb3aa35ef", "kernel_id": "236684"}, {"ref": "mmaria/tita-1", "kernel_id": "236686"}, {"ref": "mmaria/notebookbed4199631", "kernel_id": "236692"}, {"ref": "mohdshadab14/a-journey-through-titanic", "kernel_id": "117234"}, {"ref": "workingcreating/notebook-93530758340151e6ff4a", "kernel_id": "29084"}, {"ref": "xubingran/an-interactive-data-science-tutorial", "kernel_id": "176045"}, {"ref": "sergeighomsi/notebook5886e35154", "kernel_id": "145383"}, {"ref": "sergeighomsi/notebookcf12ff4724", "kernel_id": "147848"}, {"ref": "curtisfocht/notebook-6ed284271706dc4c2d8e", "kernel_id": "29448"}, {"ref": "bohnen/my-fi-st-kaggle", "kernel_id": "80502"}, {"ref": "bohnen/my-first-script", "kernel_id": "80503"}, {"ref": "bohnen/myfirstscript", "kernel_id": "82197"}, {"ref": "joannahsu/notebook-5d69c2014bac8f1ce285", "kernel_id": "31543"}, {"ref": "jupitergranite/notebookb8deb43050", "kernel_id": "203706"}, {"ref": "weichen618/titanic-r01", "kernel_id": "29265"}, {"ref": "weichen618/sample-script-py01", "kernel_id": "29259"}, {"ref": "calixte/titanic-random-forest-82-78", "kernel_id": "179090"}, {"ref": "bdossman/notebook-3507ca993cf6ca6b3283", "kernel_id": "29749"}, {"ref": "bdossman/test1", "kernel_id": "29750"}, {"ref": "akashshekara/a-journey-through-titanic", "kernel_id": "101965"}, {"ref": "akashshekara/a-journey-through-titanic-b870bbbf", "kernel_id": "102025"}, {"ref": "vinialbano/notebookb3585c68f8", "kernel_id": "186226"}, {"ref": "deepen/a-journey-through-titanic", "kernel_id": "150156"}, {"ref": "laurenfitch/first-try", "kernel_id": "29410"}, {"ref": "laurenfitch/sample-notebook", "kernel_id": "29408"}, {"ref": "sarthak96agarwal/a-journey-through-titanic", "kernel_id": "103181"}, {"ref": "tiagoantao/titanic-exploratory-analysis-with-pca", "kernel_id": "92848"}, {"ref": "rpedro/notebook950efa23b7", "kernel_id": "105277"}, {"ref": "ajcarts/testscript2-r", "kernel_id": "30279"}, {"ref": "mariusthart/deep-into-titanic", "kernel_id": "75404"}, {"ref": "rotimi/kaggle-first-ipythonnotebook", "kernel_id": "33173"}, {"ref": "rotimi/a-journey-through-titanic", "kernel_id": "33174"}, {"ref": "kkaluskar/trial1", "kernel_id": "220528"}, {"ref": "mexzer0/notebook-d7edad7e3ea50a607aab", "kernel_id": "52497"}, {"ref": "mexzer0/notebook-1bd6932272250081cfdd", "kernel_id": "52509"}, {"ref": "mexzer0/notebook-d55703271d25880b5c7a", "kernel_id": "52510"}, {"ref": "mexzer0/notebook-71f094306682a5930c26", "kernel_id": "52226"}, {"ref": "mexzer0/a-journey-through-titanic-4d1abacc", "kernel_id": "87798"}, {"ref": "mexzer0/notebook-9f22ed4084b00e2d3d17", "kernel_id": "82482"}, {"ref": "jalywu/test01", "kernel_id": "29708"}, {"ref": "deitrich/notebook9dd499f4da", "kernel_id": "213412"}, {"ref": "wysobj/a-journey-through-titanic", "kernel_id": "137436"}, {"ref": "manuelc/best-model-mixed-classifier", "kernel_id": "149633"}, {"ref": "manuelc/titanic-best-working-classifier", "kernel_id": "149610"}, {"ref": "manuelc/notebook42eeedfc47", "kernel_id": "149621"}, {"ref": "vurmux/titanic-test", "kernel_id": "81502"}, {"ref": "roquentin/a-journey-through-titanic", "kernel_id": "133712"}, {"ref": "arvindshekar07/notebook318d1b8efc", "kernel_id": "101133"}, {"ref": "yohanfp/sinking-py", "kernel_id": "30011"}, {"ref": "tengyan/notebook-5534a3d3f770be284ed5", "kernel_id": "54830"}, {"ref": "tengyan/notebook-97767e4fb84296c81406", "kernel_id": "49403"}, {"ref": "tengyan/tengs-titanic-notebook", "kernel_id": "49404"}, {"ref": "chuangwang/testw", "kernel_id": "29697"}, {"ref": "chuangwang/notebook-60de0fe3569bee1edd45", "kernel_id": "29698"}, {"ref": "pvsravanth/random-forest", "kernel_id": "82384"}, {"ref": "jdp123/a-journey-through-titanic", "kernel_id": "95704"}, {"ref": "himsingh/notebook-90341de0161e9125cf7b", "kernel_id": "64931"}, {"ref": "himsingh/titanic-practice", "kernel_id": "68012"}, {"ref": "alvinstars/introduction-to-ensembling-stacking-in-python", "kernel_id": "192446"}, {"ref": "moki2911/notebook-9c2b38cddb434cb00c43", "kernel_id": "75904"}, {"ref": "moki2911/notebook-21faed07d0f6a1b5db12", "kernel_id": "75258"}, {"ref": "hsinwenchang/titanic-survival-learn", "kernel_id": "31348"}, {"ref": "sarreddym/notebook-6bf21d4a7e815b4276e9", "kernel_id": "36899"}, {"ref": "glibert/notebook-ab6cb9023b45e63eaebf", "kernel_id": "33905"}, {"ref": "sidpat/notebook-89e0bf6c32e695f6510f", "kernel_id": "57675"}, {"ref": "jatinm2593/notebook-d5d3a8ae49777048aaea", "kernel_id": "39873"}, {"ref": "jatinm2593/titanic", "kernel_id": "39875"}, {"ref": "danielelton/notebook-19be2df6d9cb9fc046fc", "kernel_id": "73884"}, {"ref": "danielelton/notebook-8d62fd450f84ef8f17b8", "kernel_id": "73885"}, {"ref": "danielelton/notebook-e6085e51046ddf5f8817", "kernel_id": "74967"}, {"ref": "danielelton/test-sci-kit-learn", "kernel_id": "74714"}, {"ref": "danielelton/notebook-f0d9e2892ddfac41ce48", "kernel_id": "80520"}, {"ref": "danielelton/notebook-77010ee93445f78da96f", "kernel_id": "80651"}, {"ref": "danielelton/fork-of-test-sci-kit-learn", "kernel_id": "88584"}, {"ref": "ivovkanych/titanic-try", "kernel_id": "100670"}, {"ref": "xixiaxinxiang/a-journey-through-titanic", "kernel_id": "195918"}, {"ref": "xixiaxinxiang/introduction-to-ensembling-stacking-in-python", "kernel_id": "192386"}, {"ref": "corissa/titanic", "kernel_id": "29942"}, {"ref": "corissa/notebook-fa33cee9b20ee0a8f1f1", "kernel_id": "30418"}, {"ref": "corissa/notebook-1f17ef3ad1913a39b4de", "kernel_id": "31274"}, {"ref": "marcfresquet/notebook-1eed24fc386fbcd92f17", "kernel_id": "29949"}, {"ref": "ashtonbaker/a-journey-through-titanic", "kernel_id": "87809"}, {"ref": "abhishekshrm071/notebook-4c420c24ce855e38adc0", "kernel_id": "63197"}, {"ref": "konstov/first-attempt-with-titanic", "kernel_id": "181186"}, {"ref": "premchand10/notebookc37a076e89", "kernel_id": "95888"}, {"ref": "isra312/predicting-titanic-survivors", "kernel_id": "175473"}, {"ref": "katarz/notebook-34f0b20040c7d46c654e", "kernel_id": "32116"}, {"ref": "songyuzhou324/notebook-d6a5bcc96cb575c3a691", "kernel_id": "80486"}, {"ref": "songyuzhou324/ticket-info", "kernel_id": "80487"}, {"ref": "saisri/notebook94cb8392ee", "kernel_id": "265483"}, {"ref": "teuffy/titanic-data-science-solutions", "kernel_id": "186979"}, {"ref": "kipster/notebook70521c4ebc", "kernel_id": "218658"}, {"ref": "kipster/notebook3619a40ec3", "kernel_id": "274651"}, {"ref": "patternproject/a-journey-through-titanic", "kernel_id": "141147"}, {"ref": "sunilzs/notebook-59437f2ca80f5d3f1ef1", "kernel_id": "49361"}, {"ref": "sunilzs/notebook-b221e8ba37b63daa072f", "kernel_id": "49362"}, {"ref": "chhzhang/genetic-programming-lb-0-88", "kernel_id": "50047"}, {"ref": "ladidinesh/a-journey-through-titanic", "kernel_id": "186993"}, {"ref": "sahil95/titanic-survival", "kernel_id": "269892"}, {"ref": "sahil95/notebook-2f0c748d2a3cae78176a", "kernel_id": "30291"}, {"ref": "maite2015/notebook60cf2e715b", "kernel_id": "154801"}, {"ref": "maite2015/notebook66a822e933", "kernel_id": "154808"}, {"ref": "paulbd/original-script", "kernel_id": "72900"}, {"ref": "nicowe/notebook-e0db58629b4b2a2084be", "kernel_id": "30316"}, {"ref": "joshuaze/notebook-8f72a329181b008a7b05", "kernel_id": "48392"}, {"ref": "fireforg/survivepredict", "kernel_id": "225397"}, {"ref": "lmeraz/notebook-10af9fba7507940472f2", "kernel_id": "31985"}, {"ref": "lmeraz/script", "kernel_id": "31986"}, {"ref": "skhalla/first-kernal-titanic", "kernel_id": "249747"}, {"ref": "bebetter/notebook-d9570deb5e12507b53ae", "kernel_id": "43042"}, {"ref": "ishaanv/a-journey-through-titanic", "kernel_id": "111043"}, {"ref": "sergi2k/notebook-b98c873b3c39ff9399af", "kernel_id": "30369"}, {"ref": "mbroere/firsttest", "kernel_id": "31587"}, {"ref": "leksmaz/notebook2df4e3b9f0", "kernel_id": "150676"}, {"ref": "jamaralex/titanictrain", "kernel_id": "33286"}, {"ref": "colonwq/notebook9ab57c3c6d", "kernel_id": "123372"}, {"ref": "alexissa/gradient-for-logistic-regression", "kernel_id": "236029"}, {"ref": "gavin2318/study-of-tree-and-forest-algorithms", "kernel_id": "68737"}, {"ref": "elliewei/titanic", "kernel_id": "56896"}, {"ref": "akholad/learningr", "kernel_id": "30701"}, {"ref": "trhodes/titanic", "kernel_id": "30745"}, {"ref": "trhodes/notebook-a11c004334602926ed2f", "kernel_id": "30750"}, {"ref": "chinahechuan/notebook20d2148dab", "kernel_id": "202213"}, {"ref": "arjoonn/ticket-fare-analysis", "kernel_id": "37325"}, {"ref": "arjoonn/notebook-810185826a2d3d4ac9d8", "kernel_id": "32528"}, {"ref": "arjoonn/notebook-40c330f68562ae480b60", "kernel_id": "56500"}, {"ref": "arjoonn/random-forests-1", "kernel_id": "56501"}, {"ref": "arjoonn/notebook-22900ca5f8f5323b061e", "kernel_id": "56506"}, {"ref": "arjoonn/notebook-046acf3c9bc6d4029f0a", "kernel_id": "56428"}, {"ref": "arjoonn/notebook-6b83f1f1907c9ef78895", "kernel_id": "51173"}, {"ref": "naresh31/titanic-machine-learning-from-disaster", "kernel_id": "651405"}, {"ref": "subhendu/a-journey-through-titanic", "kernel_id": "97420"}, {"ref": "kierlan/notebookd08b294dc1", "kernel_id": "90689"}, {"ref": "kierlan/test-notebook", "kernel_id": "234438"}, {"ref": "kierlan/notebook94b455763e", "kernel_id": "205359"}, {"ref": "sanki101/notebook2956473ab4", "kernel_id": "125444"}, {"ref": "degninou/titanic-survival-guide", "kernel_id": "252591"}, {"ref": "altus88/a-journey-through-titanic", "kernel_id": "99741"}, {"ref": "jimmyfeterman/a-journey-through-titanic", "kernel_id": "95261"}, {"ref": "mattsu/titanic-deeplearning-keras-sigmoid", "kernel_id": "581073"}, {"ref": "mattsu/titanic-with-deeplearning-simple-tensorflow", "kernel_id": "578227"}, {"ref": "xiangnanyue/a-journey-through-titanic-f56e454f", "kernel_id": "116829"}, {"ref": "xiangnanyue/a-journey-through-titanic", "kernel_id": "115606"}, {"ref": "ryomiyazaki/notebook0d7cd77959", "kernel_id": "276287"}, {"ref": "parthchaudhary/titanic-submission", "kernel_id": "72304"}, {"ref": "parthchaudhary/notebook-aea33193eb5295047c68", "kernel_id": "72300"}, {"ref": "prudhviraj12/notebook-7bf3de0caff9ab879ceb", "kernel_id": "70895"}, {"ref": "prudhviraj12/script-101-1", "kernel_id": "70882"}, {"ref": "prudhviraj12/script-101", "kernel_id": "70197"}, {"ref": "prudhviraj12/script-201", "kernel_id": "72804"}, {"ref": "prudhviraj12/notebook-d81fa864fddb0d8e54a9", "kernel_id": "72809"}, {"ref": "prudhviraj12/intro", "kernel_id": "61470"}, {"ref": "jamaal/notebook-ab090356f5ba976c1689", "kernel_id": "34987"}, {"ref": "harshdeepgupta/notebook-596439e8c3af50d76294", "kernel_id": "62138"}, {"ref": "ishitaagrawal/notebook-c5aca594e0a49587f15d", "kernel_id": "64397"}, {"ref": "ishitaagrawal/study-of-tree-and-forest-algorithms", "kernel_id": "64398"}, {"ref": "rahulyadav170923/a-journey-through-titanic-7fa9b692", "kernel_id": "112168"}, {"ref": "rahulyadav170923/a-journey-through-titanic", "kernel_id": "95741"}, {"ref": "rahulyadav170923/notebook789d6103e7", "kernel_id": "97826"}, {"ref": "rahulyadav170923/titanic", "kernel_id": "94586"}, {"ref": "sat12341234/kaggle-first-ipythonnotebook", "kernel_id": "31070"}, {"ref": "sat12341234/notebook-d45ade31b159e4813a63", "kernel_id": "31071"}, {"ref": "sat12341234/notebook-fc729c9f495eb09a7f92", "kernel_id": "31072"}, {"ref": "sunglasses1011/study-of-tree-and-forest-algorithms", "kernel_id": "64176"}, {"ref": "andrewwhe/notebookac7fa5b91e", "kernel_id": "248565"}, {"ref": "hdyhdy/notebook-c84bb5028951f2645417", "kernel_id": "46547"}, {"ref": "hdyhdy/notebook-7a9601ae11791440b6e2", "kernel_id": "46835"}, {"ref": "gmsharpe/first-attempt-trying-not-to-sink", "kernel_id": "31103"}, {"ref": "yajiesun/notebook-063762ad8480aa256ec0", "kernel_id": "32640"}, {"ref": "yajiesun/notebook-d05e07036b8d38702982", "kernel_id": "32641"}, {"ref": "gandhirushabh2311/scikit-learn-ml-from-start-to-finish", "kernel_id": "85334"}, {"ref": "zwg19931120/notebook-4e1099ab7f06ed239c82", "kernel_id": "48755"}, {"ref": "denisogr/notebook-5373e5aacf403e27aa78", "kernel_id": "37487"}, {"ref": "andrex/notebook-8e6b09ca6e170f665878", "kernel_id": "39416"}, {"ref": "lauraokeeffe/titantic", "kernel_id": "48741"}, {"ref": "alexisdrx/notebook1237234538", "kernel_id": "109533"}, {"ref": "bhushank/randomforest", "kernel_id": "46286"}, {"ref": "bhushank/firstscript", "kernel_id": "46496"}, {"ref": "sofiddr/test01", "kernel_id": "31560"}, {"ref": "tar159/top-8", "kernel_id": "538783"}, {"ref": "tar159/top-8-by-majority-vote", "kernel_id": "522997"}, {"ref": "rjhere23/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "228028"}, {"ref": "gopigrip7/test1", "kernel_id": "31551"}, {"ref": "gopigrip7/notebook-9febc06a08288dea9688", "kernel_id": "31552"}, {"ref": "anu2analytics/a-journey-through-titanic", "kernel_id": "98260"}, {"ref": "mozziemo/titanic-random-forest", "kernel_id": "57212"}, {"ref": "urnak26/notebook-99d45f9630bb54982d31", "kernel_id": "31375"}, {"ref": "juliensb137/notebook-a2d2964558754b2e843b", "kernel_id": "81596"}, {"ref": "mrisdal/notebook043b6a53c9", "kernel_id": "165132"}, {"ref": "mrisdal/an-interactive-data-science-tutorial", "kernel_id": "172871"}, {"ref": "mrisdal/titanic-survival-rate", "kernel_id": "152638"}, {"ref": "mrisdal/exploring-survival-on-the-titanic", "kernel_id": "44675"}, {"ref": "xephys/jaf-test", "kernel_id": "31471"}, {"ref": "jawedwards/test1", "kernel_id": "31477"}, {"ref": "mbergeron/notebook-1b3dc87032749b378c66", "kernel_id": "31484"}, {"ref": "mbergeron/notebook-92c2d6e822014aa537ef", "kernel_id": "31485"}, {"ref": "mbergeron/titanic", "kernel_id": "31488"}, {"ref": "tomwalk/a-journey-through-titanic", "kernel_id": "264101"}, {"ref": "kaiweiang/notebook-31d5a17c1d9f545974f7", "kernel_id": "37050"}, {"ref": "kaiweiang/notebook-c5673ac045c802a30695", "kernel_id": "37053"}, {"ref": "rhyando/r-embulan-titanic-notebook", "kernel_id": "104704"}, {"ref": "rhyando/r-embulan-titanic", "kernel_id": "104142"}, {"ref": "adityaasharma/notebook872dd77361", "kernel_id": "155569"}, {"ref": "adityaasharma/notebookcee4f1777b", "kernel_id": "155632"}, {"ref": "vovcick/notebook-408212893f45283faa4a", "kernel_id": "40779"}, {"ref": "jrskane/notebook-f858b3626e27d5e6003f", "kernel_id": "31650"}, {"ref": "jrskane/notebook-3d05b05689fba72663cf", "kernel_id": "31653"}, {"ref": "needonature/notebook39646ca010", "kernel_id": "196479"}, {"ref": "needonature/notebookc67d019452", "kernel_id": "201889"}, {"ref": "vibharohilla/titanic", "kernel_id": "79672"}, {"ref": "vibharohilla/notebook-1ac8388385a41111cf07", "kernel_id": "79673"}, {"ref": "vibharohilla/notebook-7ad5497f58e197c9ffe9", "kernel_id": "79957"}, {"ref": "wmwmss/random-forest-benchmark-r", "kernel_id": "158892"}, {"ref": "pandoju/a-journey-through-titanic", "kernel_id": "103603"}, {"ref": "gautam1168/exploring-survival-on-the-titanic", "kernel_id": "116560"}, {"ref": "gmidhun95/testda", "kernel_id": "31916"}, {"ref": "andyveloper/titanic", "kernel_id": "156044"}, {"ref": "minqixie/titanic-mar2016", "kernel_id": "47459"}, {"ref": "minqixie/titanic-py", "kernel_id": "47461"}, {"ref": "xogns3512/notebooke1eeb9631e", "kernel_id": "89450"}, {"ref": "weiboyi/notebook09fe7be9f1", "kernel_id": "119291"}, {"ref": "weiboyi/test1", "kernel_id": "119292"}, {"ref": "ductran258/notebook18e70780c7", "kernel_id": "93149"}, {"ref": "ductran258/fork-of-basic-model-using-pandas-and-sklearn", "kernel_id": "101963"}, {"ref": "ductran258/basic-model-using-pandas-and-sklearn", "kernel_id": "101957"}, {"ref": "eladkatz/notebookfcc7afc80e", "kernel_id": "186488"}, {"ref": "eladkatz/notebook37b4cb30ec", "kernel_id": "187331"}, {"ref": "accraze/tensorflow-logistic-regression", "kernel_id": "987464"}, {"ref": "veerabhadrappa/exploring-titanic-data-using-r", "kernel_id": "229299"}, {"ref": "dhedges/notebook944f524f95", "kernel_id": "90535"}, {"ref": "ertinfagor/notebookd8c560ba50", "kernel_id": "193300"}, {"ref": "snoober/notebooke7567c12a4", "kernel_id": "227534"}, {"ref": "milkingcows4u/notebook-72d408a0d24cefbacba8", "kernel_id": "56802"}, {"ref": "milkingcows4u/notebook-5a732800d54fca381931", "kernel_id": "56790"}, {"ref": "milkingcows4u/notebook-3ae6ddd745b92b4d0245", "kernel_id": "56784"}, {"ref": "milkingcows4u/attempt1", "kernel_id": "56785"}, {"ref": "milkingcows4u/notebook-a7df1574c83827bd11b8", "kernel_id": "63342"}, {"ref": "milkingcows4u/notebook-bce19b0583f225b38b9c", "kernel_id": "63248"}, {"ref": "milkingcows4u/choooo", "kernel_id": "63251"}, {"ref": "milkingcows4u/random-forests", "kernel_id": "62775"}, {"ref": "milkingcows4u/random-forests-ii", "kernel_id": "89890"}, {"ref": "jellyk/an-interactive-data-science-tutorial", "kernel_id": "212862"}, {"ref": "darkingwing/a-journey-through-titanic-a43f86be", "kernel_id": "118490"}, {"ref": "darkingwing/a-journey-through-titanic", "kernel_id": "94943"}, {"ref": "sourabhxiii/notebook-1f7b94228785dc85fa2c", "kernel_id": "68609"}, {"ref": "sourabhxiii/titanic1", "kernel_id": "68610"}, {"ref": "yashubhi/partial-dependence-plots", "kernel_id": "556124"}, {"ref": "leonardoomarchese/notebook372e4396f3", "kernel_id": "106698"}, {"ref": "amateos/testa23", "kernel_id": "39585"}, {"ref": "himukin/notebook-9ec2ac2bd19fe6d1012b", "kernel_id": "33813"}, {"ref": "himukin/random-forest-benchmark-r", "kernel_id": "33814"}, {"ref": "vincentlino/notebookd2105cb79c", "kernel_id": "232766"}, {"ref": "vincentlino/titanic-data-science-solutions-d3a853", "kernel_id": "238784"}, {"ref": "deathcoder007/notebook73fe6f7fae", "kernel_id": "108635"}, {"ref": "deathcoder007/a-journey-through-titanic", "kernel_id": "94276"}, {"ref": "ibadia/k-nearest-neighbour-from-scratch", "kernel_id": "685568"}, {"ref": "yaoxue1993/titanic-r", "kernel_id": "46464"}, {"ref": "elfourari/test0", "kernel_id": "32364"}, {"ref": "aradhya0510/beginners-guide-to-titanic-disaster", "kernel_id": "312922"}, {"ref": "jbullers/notebook195c78c4d6", "kernel_id": "222114"}, {"ref": "jbullers/notebook05c5ce9470", "kernel_id": "222117"}, {"ref": "frolfingqnet/introduction-to-ensembling-stacking-in-python", "kernel_id": "190271"}, {"ref": "mathtodon/notebookaffa0eab20", "kernel_id": "171486"}, {"ref": "piesie/titanic", "kernel_id": "111233"}, {"ref": "rpmunoz/uso-de-random-forest", "kernel_id": "466193"}, {"ref": "suny16907/eva123", "kernel_id": "94402"}, {"ref": "schroedb38/notebook-2cae28481e5b17f32fc0", "kernel_id": "37037"}, {"ref": "fenge21/titanic", "kernel_id": "477938"}, {"ref": "ludwikprzyrowski/titanic-first-try", "kernel_id": "208239"}, {"ref": "rjtshrma/notebook-f99d45b2c2ca6938e3a0", "kernel_id": "32773"}, {"ref": "sendolc/notebook-de88ddb1cced8e68e606", "kernel_id": "32533"}, {"ref": "sendolc/notebook-2ed342366fa2538e2fb0", "kernel_id": "32585"}, {"ref": "sendolc/titanicwork", "kernel_id": "32574"}, {"ref": "sendolc/notebook-e5685eb407cce9a1df3b", "kernel_id": "32727"}, {"ref": "sendolc/notebook-bc9a9e16ba1f96ffa093", "kernel_id": "32732"}, {"ref": "sendolc/notebook-55b2683c312907d57807", "kernel_id": "32733"}, {"ref": "sendolc/notebook-da20cbbf5e16a6a5c7a5", "kernel_id": "37191"}, {"ref": "soniatul83/notebook-184334388dbd6ec2f3ca", "kernel_id": "32988"}, {"ref": "soniatul83/first-titanic-ml", "kernel_id": "32554"}, {"ref": "sajagshakya/testrunoutput", "kernel_id": "238195"}, {"ref": "ferbncode/notebookb968f77c20", "kernel_id": "105883"}, {"ref": "ferbncode/titanic", "kernel_id": "70713"}, {"ref": "ferbncode/notebook-60dcf9a5c3be129a7f31", "kernel_id": "70717"}, {"ref": "ferbncode/titanic-suyash", "kernel_id": "70718"}, {"ref": "ferbncode/notebook-1b2a3e908f3c08a25fa3", "kernel_id": "71122"}, {"ref": "lydialaseur/titanic-project", "kernel_id": "48112"}, {"ref": "yijiezhu/a-journey-through-titanic-9cf3ce4f", "kernel_id": "109622"}, {"ref": "yijiezhu/a-journey-through-titanic", "kernel_id": "109612"}, {"ref": "tayden/titanic-death-decider", "kernel_id": "105233"}, {"ref": "tayden/fork-of-titanic-death-decider", "kernel_id": "121272"}, {"ref": "benbenbang/notebook-316fb34f52e99d678d29", "kernel_id": "71837"}, {"ref": "benbenbang/notebook-e86e3007f6c68b1a75d0", "kernel_id": "71839"}, {"ref": "benbenbang/notebook-98479e5e5f200b0ca073", "kernel_id": "71834"}, {"ref": "bvandewe/test1", "kernel_id": "32352"}, {"ref": "staronj/notebook89aaa2addf", "kernel_id": "115554"}, {"ref": "jojotenya/notebook-a756cbe9db85d763acda", "kernel_id": "32866"}, {"ref": "fredfav/notebook1248a5c15c", "kernel_id": "205597"}, {"ref": "beckwang/notebook-a403d5cf1b03d97374ca", "kernel_id": "53439"}, {"ref": "beckwang/titanic-ml", "kernel_id": "53441"}, {"ref": "beckwang/a-journey-through-titanic", "kernel_id": "53443"}, {"ref": "beckwang/notebook-b3b453fb047c0397a3b6", "kernel_id": "44836"}, {"ref": "therealnoahwhereman/a-journey-through-titanic", "kernel_id": "97523"}, {"ref": "beyondbeneath/notebookf0f9452963", "kernel_id": "118455"}, {"ref": "adamward/titanic-playbook", "kernel_id": "115080"}, {"ref": "unease/notebook6794860400", "kernel_id": "166645"}, {"ref": "amakaijo/a-journey-through-titanic", "kernel_id": "90103"}, {"ref": "sasamos/a-journey-through-titanic", "kernel_id": "106040"}, {"ref": "edurnita/titanic-machine-learning", "kernel_id": "35685"}, {"ref": "edurnita/notebook-00fd17ec7c0633d1f6a7", "kernel_id": "35686"}, {"ref": "phammt/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "229576"}, {"ref": "fullmetalfifi/basic-model-using-pandas-and-sklearn-012dcb6c", "kernel_id": "100973"}, {"ref": "fullmetalfifi/basic-model-using-pandas-and-sklearn", "kernel_id": "100943"}, {"ref": "ldavim/code01", "kernel_id": "155828"}, {"ref": "xusparrow/notebook3ddd496525", "kernel_id": "117073"}, {"ref": "xusparrow/notebookb392b9fda7", "kernel_id": "121571"}, {"ref": "suyuzhuang/a-journey-through-titanic", "kernel_id": "147891"}, {"ref": "brothermalcolm/datacamptitanic", "kernel_id": "257020"}, {"ref": "brothermalcolm/helloworld", "kernel_id": "215762"}, {"ref": "amitsahoo1997/model-comparison-sklearn", "kernel_id": "93057"}, {"ref": "generativist/notebooka05ff73c5f", "kernel_id": "147502"}, {"ref": "jamiebell/testscript", "kernel_id": "33029"}, {"ref": "prathikhegde/a-journey-through-titanic", "kernel_id": "157357"}, {"ref": "nsyuyu/sample", "kernel_id": "56905"}, {"ref": "nsyuyu/notebook-0a72da5defc4b58f490d", "kernel_id": "56911"}, {"ref": "balaanand/predicting-survival-on-the-titanic", "kernel_id": "127538"}, {"ref": "chenhlcasiop/notebook-0ef4586e682281b80995", "kernel_id": "39196"}, {"ref": "tomateos/titanictutorial", "kernel_id": "228399"}, {"ref": "marcolinodev/titanic-with-dataquest-help", "kernel_id": "96990"}, {"ref": "marcolinodev/notebookdb011f02a0", "kernel_id": "97487"}, {"ref": "mdnguyen/a-journey-through-titanic", "kernel_id": "105069"}, {"ref": "amrsharaf/notebook2fe35c880d", "kernel_id": "145997"}, {"ref": "amrsharaf/a-journey-through-titanic", "kernel_id": "144779"}, {"ref": "amrsharaf/exploring-titanic-survival-with-chainer", "kernel_id": "144780"}, {"ref": "hydrosquall/kaggle-first-ipythonnotebook", "kernel_id": "32717"}, {"ref": "sooyeong/notebookdcce764e7e", "kernel_id": "217318"}, {"ref": "pjain35/sample-svm-model-with-x-validation", "kernel_id": "32761"}, {"ref": "ggadon/notebook-0fd1768a83cb574da730", "kernel_id": "39891"}, {"ref": "siddhantsai/notebook4a23bc4036", "kernel_id": "171133"}, {"ref": "tannercook/testscript1", "kernel_id": "32859"}, {"ref": "rbinnun/notebook-768ce825bf3837485c8f", "kernel_id": "32883"}, {"ref": "ankitagarwal/logistic-regression-with-k-fold", "kernel_id": "329783"}, {"ref": "ankitagarwal/notebook5da50aaf4e", "kernel_id": "168347"}, {"ref": "ankitagarwal/starting-with-first", "kernel_id": "217329"}, {"ref": "bioman82/notebook9104cd106c", "kernel_id": "211180"}, {"ref": "fredomarcus/notebook-b42e2c1b341c66e7c497", "kernel_id": "54229"}, {"ref": "msalihg/salih", "kernel_id": "32900"}, {"ref": "fisimon/notebookb7f3922a3e", "kernel_id": "103921"}, {"ref": "techacolyte42/a-journey-through-titanic", "kernel_id": "105988"}, {"ref": "prableen20/titanic-dataset-eda-and-decision-trees-svm", "kernel_id": "731632"}, {"ref": "axapascal/notebook-85ff158d840fde24c0ea", "kernel_id": "32957"}, {"ref": "axapascal/notebook-a6ba03f1735ea93d655b", "kernel_id": "32983"}, {"ref": "toadvine/titanic", "kernel_id": "130286"}, {"ref": "hazyhxj/hazy-s-titanic", "kernel_id": "588034"}, {"ref": "andreaw/a-journey-through-titanic", "kernel_id": "33399"}, {"ref": "andreaw/titanic-first-journey", "kernel_id": "57979"}, {"ref": "andreaw/notebook-4c7ac666469add102d40", "kernel_id": "57980"}, {"ref": "andreaw/notebook-1aa3b9023c55847ad6d0", "kernel_id": "60300"}, {"ref": "andreaw/titanic-logistic-regression", "kernel_id": "60309"}, {"ref": "andreaw/notebook-f3b8378468ab70121f3e", "kernel_id": "60310"}, {"ref": "alperskot/titanic-toy-model", "kernel_id": "33066"}, {"ref": "hermit84/notebook92bb36b810", "kernel_id": "90952"}, {"ref": "ankitkul/titanic-problem", "kernel_id": "258247"}, {"ref": "manual/sure-it-sank", "kernel_id": "221426"}, {"ref": "manual/an-interactive-data-science-tutorial", "kernel_id": "221428"}, {"ref": "ticheek/a-journey-through-titanic", "kernel_id": "74673"}, {"ref": "dnychennnn/notebook785503347a", "kernel_id": "120084"}, {"ref": "narasimmanr/a-journey-through-titanic", "kernel_id": "105587"}, {"ref": "rkunes/russell", "kernel_id": "86528"}, {"ref": "tbeede/notebook-7e19994310fce58fe760", "kernel_id": "53888"}, {"ref": "mbornstein/a-journey-through-titanic", "kernel_id": "48259"}, {"ref": "mbornstein/notebook-67bc669277cec769e8ac", "kernel_id": "48260"}, {"ref": "mbornstein/notebook-77ba16c56523454cf500", "kernel_id": "48261"}, {"ref": "ox4ec7/notebook241f25af73", "kernel_id": "198013"}, {"ref": "timbirb/kaggle-titanic-001", "kernel_id": "33266"}, {"ref": "chensteven/titanic", "kernel_id": "89123"}, {"ref": "abhijeetchauhan/titanic", "kernel_id": "38145"}, {"ref": "mfm2161/notebook-11d54f42654e8617c93d", "kernel_id": "40014"}, {"ref": "mfm2161/notebook-728d181cb4c13f8d3692", "kernel_id": "69598"}, {"ref": "avnsharsha/sample", "kernel_id": "80665"}, {"ref": "phphong/notebook-90c4748b0730bd844b48", "kernel_id": "61780"}, {"ref": "phphong/a-journey-through-titanic", "kernel_id": "61777"}, {"ref": "wangbing1118/notebooke9ac0ec498", "kernel_id": "101813"}, {"ref": "ywfang/notebook-df6c2f2443cd98f1d451", "kernel_id": "84390"}, {"ref": "hayato/lit-ml", "kernel_id": "33413"}, {"ref": "hayato/notebook-3b7ae3a56d2200472862", "kernel_id": "33414"}, {"ref": "mingcaiqin/notebook-9d3f0805ad98243525a0", "kernel_id": "49751"}, {"ref": "mingcaiqin/notebook-2f6a59a15a1e4363f383", "kernel_id": "49753"}, {"ref": "bridgetrose/titanic", "kernel_id": "98841"}, {"ref": "philsouth/a-journey-through-titanic", "kernel_id": "185920"}, {"ref": "maroofmf/a-journey-through-titanic", "kernel_id": "116588"}, {"ref": "guoziqi/notebook-f3a82c1e5638bf0e5235", "kernel_id": "77154"}, {"ref": "guoziqi/notebook-c36662f3a1d506b7e821", "kernel_id": "77155"}, {"ref": "aurelienbenard/kaggle-first-ipythonnotebook", "kernel_id": "36819"}, {"ref": "aurelienbenard/notebook-9f92409dea32887608f9", "kernel_id": "38596"}, {"ref": "swissj74/titanic1", "kernel_id": "35186"}, {"ref": "swissj74/a-journey-through-titanic", "kernel_id": "38583"}, {"ref": "indy9000/notebook-f21344bff01dfca805df", "kernel_id": "39673"}, {"ref": "xiaoyaozi/notebook8096f1afac", "kernel_id": "110314"}, {"ref": "qq710467272/12345", "kernel_id": "116989"}, {"ref": "qq710467272/notebook9ea6ad261c", "kernel_id": "116991"}, {"ref": "shubham0420/a-journey-through-titanic", "kernel_id": "92732"}, {"ref": "shubham0420/a-journey-through-titanic-e761124c", "kernel_id": "93208"}, {"ref": "shrishtiwahal/notebooka631f0ccac", "kernel_id": "360707"}, {"ref": "strangeattractor/a-journey-through-titanic", "kernel_id": "43374"}, {"ref": "strangeattractor/notebook-bb32edd0220d98ee6d0c", "kernel_id": "43375"}, {"ref": "samueljobert/notebook-680e627238c117d7109c", "kernel_id": "33820"}, {"ref": "samueljobert/notebook-7be474739310ba2eb9de", "kernel_id": "33806"}, {"ref": "divush/titanic-prediction", "kernel_id": "480435"}, {"ref": "harpuia/a-journey-through-titanic", "kernel_id": "193007"}, {"ref": "lovanesyan/notebook-40627cbe4c3c2b066020", "kernel_id": "33648"}, {"ref": "lovanesyan/notebook-e11f67e52376d6df514f", "kernel_id": "33649"}, {"ref": "aionsm7/notebook-1e1139539f76f75ad385", "kernel_id": "33689"}, {"ref": "aionsm7/notebook-b9ad7041839ea05748a9", "kernel_id": "33691"}, {"ref": "aionsm7/first-ml", "kernel_id": "33703"}, {"ref": "aionsm7/notebook-e9e9583d7744feb1e0a5", "kernel_id": "33705"}, {"ref": "aionsm7/notebook-d0de0bdbb6ed8fd8656a", "kernel_id": "33706"}, {"ref": "aionsm7/notebook-6bf8b878e87400039bfa", "kernel_id": "33727"}, {"ref": "aionsm7/notebook-ef70b7590ad8ad2e0b7f", "kernel_id": "33712"}, {"ref": "aionsm7/notebook-6f19c0de67cd643540e7", "kernel_id": "33749"}, {"ref": "aionsm7/notebook-eb144999ddaf457a651c", "kernel_id": "33734"}, {"ref": "carumisu/testcode-code", "kernel_id": "33743"}, {"ref": "carumisu/testc", "kernel_id": "33745"}, {"ref": "carumisu/lit-ml", "kernel_id": "33678"}, {"ref": "onodatakshi/notebook-f45484f8a8d1586cfff1", "kernel_id": "33713"}, {"ref": "onodatakshi/notebook-bd07ddfef2c994f45dc1", "kernel_id": "33702"}, {"ref": "onodatakshi/notebook-68ffbca57b5892aa23c5", "kernel_id": "33720"}, {"ref": "onodatakshi/notebook-c879be7f677ef6b825e2", "kernel_id": "33722"}, {"ref": "onodatakshi/lit-ml", "kernel_id": "33687"}, {"ref": "onodatakshi/lit-mlcode", "kernel_id": "33741"}, {"ref": "kabutomusi/notebook-1a8bde4589340617a60e", "kernel_id": "33733"}, {"ref": "kabutomusi/notebook-8ba8ef5d2d9c9b406e9c", "kernel_id": "33729"}, {"ref": "kabutomusi/kabuomusi", "kernel_id": "33747"}, {"ref": "kabutomusi/lit-ml", "kernel_id": "33685"}, {"ref": "kabutomusi/notebook-5949ccb19cfbb8de5a7b", "kernel_id": "33699"}, {"ref": "kabutomusi/notebook-ea6f49a4e7ad8ef0faef", "kernel_id": "33711"}, {"ref": "shokofujita/notebook-f1ac580f28e597e9808b", "kernel_id": "33708"}, {"ref": "shokofujita/notebook-265b02ae3caf09d05914", "kernel_id": "33698"}, {"ref": "shokofujita/notebook-595e530fee98fd835645", "kernel_id": "33723"}, {"ref": "shokofujita/notebook-884e2b0f7de2f82898b7", "kernel_id": "33692"}, {"ref": "shokofujita/lit-mlcode", "kernel_id": "33755"}, {"ref": "shokofujita/notebook-767f8f860ee4a88a9a09", "kernel_id": "33730"}, {"ref": "shokofujita/notebook-0c7a02e369d8221a2b51", "kernel_id": "33719"}, {"ref": "moriaki3193/ml-sample-code01", "kernel_id": "33756"}, {"ref": "moriaki3193/titanic-sample", "kernel_id": "91524"}, {"ref": "skzwksk/notebook-e2bfc4f751007e1870f5", "kernel_id": "33750"}, {"ref": "skzwksk/lit-mlcode", "kernel_id": "33744"}, {"ref": "skzwksk/notebook-fdc1a74ae672b1e1ee07", "kernel_id": "33714"}, {"ref": "skzwksk/lit-ml", "kernel_id": "33704"}, {"ref": "komega/taitan123", "kernel_id": "33696"}, {"ref": "komega/notebook-c90deb7c359b961a2f08", "kernel_id": "33715"}, {"ref": "komega/notebook-8da93b83ff2dff6a85c9", "kernel_id": "33718"}, {"ref": "komega/notebook-9249df843e0344f80faf", "kernel_id": "33724"}, {"ref": "komega/notebook-1a50d4c8302a288b7397", "kernel_id": "33728"}, {"ref": "komega/lit-ml", "kernel_id": "33684"}, {"ref": "komega/notebook-6e44e3d297a24efb7d6b", "kernel_id": "33740"}, {"ref": "komega/notebook-c98a9087f77f9f93bf01", "kernel_id": "33737"}, {"ref": "komega/notebook-f6762da3694eee5d8aa7", "kernel_id": "33738"}, {"ref": "komega/notebook-c5c0fa4403a0d4f62a58", "kernel_id": "33731"}, {"ref": "komega/notebook-298c6f7ec8526cfe976c", "kernel_id": "33732"}, {"ref": "keisuke1012/lit-ml", "kernel_id": "33680"}, {"ref": "keisuke1012/notebook-130a4419b27a85f67fb8", "kernel_id": "33726"}, {"ref": "keisuke1012/notebook-395850d4ac69a7b63905", "kernel_id": "33717"}, {"ref": "keisuke1012/notebook-33554902abb7e84f01a4", "kernel_id": "33701"}, {"ref": "keisuke1012/notebook-42f193c4bcbc59518593", "kernel_id": "33709"}, {"ref": "msrshintn/lit-ml", "kernel_id": "33681"}, {"ref": "msrshintn/notebook-032be7f55f1028be861d", "kernel_id": "33693"}, {"ref": "ueokayusei/lit-ml", "kernel_id": "33721"}, {"ref": "kdskaggle/notebook-6eaf5bd37896c2992439", "kernel_id": "72524"}, {"ref": "kdskaggle/test-2", "kernel_id": "72525"}, {"ref": "redsputnik/myfirsttry", "kernel_id": "34991"}, {"ref": "swap9047/titanic-analysis", "kernel_id": "105613"}, {"ref": "annat22/notebook-3a8c71f65ba45416ac95", "kernel_id": "75726"}, {"ref": "annat22/notebook-da3d477c9339a980f778", "kernel_id": "75727"}, {"ref": "bluekidds/titanic-data-science-solutions", "kernel_id": "620599"}, {"ref": "z3193631/a-journey-through-titanic", "kernel_id": "118095"}, {"ref": "henrytly/notebook-bc487a9a0b928cb62283", "kernel_id": "40382"}, {"ref": "henrytly/a-journey-through-titanic", "kernel_id": "173540"}, {"ref": "sneha29shukla/titanic-datascience-notebook", "kernel_id": "237527"}, {"ref": "farhodkalonov/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "171605"}, {"ref": "abner288/introduction-to-ensembling-stacking-in-python", "kernel_id": "218769"}, {"ref": "sheshu/titanic-random-forest-82-78", "kernel_id": "180686"}, {"ref": "sheshu/basic-model-using-pandas-and-sklearn", "kernel_id": "100411"}, {"ref": "doruchiulan/swimming-in-the-titanic-data-python-way", "kernel_id": "194569"}, {"ref": "powell314/testing-out-titanic", "kernel_id": "35190"}, {"ref": "powell314/adding-more-features", "kernel_id": "58364"}, {"ref": "adrialuz/notebookc87b6f1c19", "kernel_id": "114081"}, {"ref": "luisgasco/notebook-f016f70b437bc197fedf", "kernel_id": "65779"}, {"ref": "window98/a-journey-through-titanic", "kernel_id": "56147"}, {"ref": "window98/my-first-script", "kernel_id": "56499"}, {"ref": "window98/scikit-learn-ml-from-start-to-finish", "kernel_id": "93109"}, {"ref": "luckyscharms2000/notebookcc96f6c5ad", "kernel_id": "246533"}, {"ref": "stobbe99/myjob2", "kernel_id": "33985"}, {"ref": "fkoh111/hello1", "kernel_id": "45715"}, {"ref": "langzhining/notebook11eba2a827", "kernel_id": "89728"}, {"ref": "evanwang1028/notebook-510475eccab1da9b5238", "kernel_id": "78242"}, {"ref": "yds1024/notebookd1a0f5137b", "kernel_id": "207932"}, {"ref": "wongalan2002/titanic-with-neural-network", "kernel_id": "70791"}, {"ref": "wongalan2002/random-forest-1", "kernel_id": "70739"}, {"ref": "cologneblue/herold", "kernel_id": "163182"}, {"ref": "chavakula/notebook-c616f091877122716022", "kernel_id": "34097"}, {"ref": "brudfors/random-forest-benchmark-r", "kernel_id": "34297"}, {"ref": "grasshaha/notebook-af68f98d5d305939c674", "kernel_id": "34415"}, {"ref": "grasshaha/aaaaa", "kernel_id": "34416"}, {"ref": "grasshaha/notebook-ed1df29246816d3bd202", "kernel_id": "34417"}, {"ref": "shankar3095/notebook-2a3da8cf8efc0343e068", "kernel_id": "50171"}, {"ref": "hyc399/titanic", "kernel_id": "186925"}, {"ref": "jeffalltogether/baggedtrees", "kernel_id": "34191"}, {"ref": "evanagovino/evan-test1", "kernel_id": "34218"}, {"ref": "flash6969/titanic-classification-kernel", "kernel_id": "478037"}, {"ref": "lukexyz/notebook0524b3c0bf", "kernel_id": "99480"}, {"ref": "lukexyz/titanic-notebook1", "kernel_id": "77382"}, {"ref": "emptycasket/notebook-cab09218b4ab9166e60b", "kernel_id": "72411"}, {"ref": "sreefs/notebook-d88fad710ee0c9de93bc", "kernel_id": "40442"}, {"ref": "sreefs/notebook-6378d22bddf24b1f97ea", "kernel_id": "45735"}, {"ref": "sreefs/notebook-a3a00f22e74eaefa2c4f", "kernel_id": "45738"}, {"ref": "sreefs/notebook-158fe64b375278c730d2", "kernel_id": "45739"}, {"ref": "brightenlx/notebook6a6d4c4dff", "kernel_id": "237465"}, {"ref": "yiclwh/first", "kernel_id": "34365"}, {"ref": "metrox/notebookc666574e40", "kernel_id": "162416"}, {"ref": "snelson3/test-for-teals", "kernel_id": "728572"}, {"ref": "portkeys/notebook920dfcdc4f", "kernel_id": "158962"}, {"ref": "srini509/preliminary-exploration", "kernel_id": "69992"}, {"ref": "srini509/notebook-c7b63b032c10fa5c56a0", "kernel_id": "70208"}, {"ref": "srini509/notebook-034d357ec1086ba1a677", "kernel_id": "70210"}, {"ref": "srini509/notebook-b25a3142d7a39a2ff6aa", "kernel_id": "70256"}, {"ref": "msmenegol/titanic-tutorial", "kernel_id": "202627"}, {"ref": "ryangoy/geneticprogramming", "kernel_id": "200021"}, {"ref": "ladipoore/titanic-one", "kernel_id": "233183"}, {"ref": "chengyunxin/introduction-to-ensembling-stacking-in-python", "kernel_id": "337243"}, {"ref": "mcdavies/a-journey-through-titanic-faadcc10", "kernel_id": "112576"}, {"ref": "mcdavies/a-journey-through-titanic-d4034468", "kernel_id": "112645"}, {"ref": "mcdavies/a-journey-through-titanic", "kernel_id": "111476"}, {"ref": "thebear19/testscript-titanic", "kernel_id": "78503"}, {"ref": "newbiettn/foo-script", "kernel_id": "84787"}, {"ref": "lanigma/a-journey-through-titanic", "kernel_id": "39321"}, {"ref": "nostream/xgboost-example-python", "kernel_id": "35649"}, {"ref": "nostream/notebook-707f54533aaca309c775", "kernel_id": "76357"}, {"ref": "nostream/basic-sns", "kernel_id": "76350"}, {"ref": "nostream/notebook-42cd73a732f80760e061", "kernel_id": "76425"}, {"ref": "nostream/a-journey-through-titanic", "kernel_id": "76431"}, {"ref": "barthur/notebookc764b9b6de", "kernel_id": "90561"}, {"ref": "peanutberry/titanic-test", "kernel_id": "34842"}, {"ref": "ymubarka/notebookf83e9ac6ac", "kernel_id": "90974"}, {"ref": "juanabe/titanic-data-science-solutions", "kernel_id": "166426"}, {"ref": "juanabe/titanic-tutorial-python-ii-pandas", "kernel_id": "166421"}, {"ref": "bllitu12345/notebooke0e20d7c75", "kernel_id": "170043"}, {"ref": "bllitu12345/titanic-code", "kernel_id": "170045"}, {"ref": "pkollenda/notebook5cd3be389e", "kernel_id": "214392"}, {"ref": "pkollenda/notebook7b96fdf2af", "kernel_id": "214386"}, {"ref": "pkollenda/testingscript", "kernel_id": "214388"}, {"ref": "pkollenda/notebooke2982138f7", "kernel_id": "214401"}, {"ref": "krosaen/notebook-508e931b51041d9db17a", "kernel_id": "68066"}, {"ref": "yinbing/kaggle-first-ipythonnotebook", "kernel_id": "50373"}, {"ref": "yinbing/a-journey-through-titanic", "kernel_id": "52019"}, {"ref": "yinbing/notebook2d72574316", "kernel_id": "102969"}, {"ref": "benlove/a-journey-through-titanic", "kernel_id": "153114"}, {"ref": "benlove/a-forked-journey-through-titanic", "kernel_id": "153115"}, {"ref": "vsesham/stepping-into-the-world-of-data-science", "kernel_id": "283307"}, {"ref": "sharmaparth17/notebook216044f111", "kernel_id": "97624"}, {"ref": "sharmaparth17/decision-tree-rpart", "kernel_id": "98378"}, {"ref": "sharmaparth17/party", "kernel_id": "98395"}, {"ref": "pvomelveny/notebook018f545f2e", "kernel_id": "152283"}, {"ref": "pvomelveny/titanic-dataquest-tutorial-follow-along", "kernel_id": "152240"}, {"ref": "kingofthenerds/notebook-a9c557c916edd4d4984b", "kernel_id": "62465"}, {"ref": "kingofthenerds/titanic-python", "kernel_id": "62468"}, {"ref": "kingofthenerds/titanic", "kernel_id": "62462"}, {"ref": "nlpgoer/emory378-team", "kernel_id": "219582"}, {"ref": "shastrysan/notebook-e6c63621e8ee335dd7ff", "kernel_id": "39226"}, {"ref": "bjustice/titanic-eda", "kernel_id": "253855"}, {"ref": "benhzn07/a-journey-through-titanic", "kernel_id": "118549"}, {"ref": "benhzn07/titanic-data-science-solutions", "kernel_id": "226295"}, {"ref": "yanfulin/notebook-e91aae8c304eea62c46a", "kernel_id": "85605"}, {"ref": "yanfulin/notebook-00ef56b786f007d54189", "kernel_id": "85622"}, {"ref": "yanfulin/notebook-1a7d48f87c4d9c29ed1e", "kernel_id": "85624"}, {"ref": "yanfulin/notebook-f73e4c5e2627e23cdb9a", "kernel_id": "85626"}, {"ref": "yanfulin/notebook-890ee5ec4025f34e10cd", "kernel_id": "85627"}, {"ref": "yanfulin/notebook-39b87a1579457b7bdc1a", "kernel_id": "85628"}, {"ref": "yzhou86/titanic-binary-classification", "kernel_id": "320680"}, {"ref": "cameronlcross/a-journey-through-titanic", "kernel_id": "174700"}, {"ref": "howardat/random-forest-benchmark-r", "kernel_id": "34970"}, {"ref": "renewliu/a-journey-through-titanic", "kernel_id": "106859"}, {"ref": "praveenmg/titanic-decision-tree-machine-learning", "kernel_id": "86170"}, {"ref": "alexsu/a-journey-through-titanic", "kernel_id": "46800"}, {"ref": "harijiang/titanic-with-sgd", "kernel_id": "36176"}, {"ref": "harijiang/notebook-071e86097965db3a380c", "kernel_id": "36328"}, {"ref": "wilhelmroscher/titanic", "kernel_id": "36008"}, {"ref": "naman25/titanic-first-attempt", "kernel_id": "288222"}, {"ref": "jaimisk/titanic-survival-logistic-regression", "kernel_id": "155568"}, {"ref": "jaimisk/notebook375bb0fa4d", "kernel_id": "109139"}, {"ref": "kdragonet/a-journey-through-titanic", "kernel_id": "36280"}, {"ref": "spraveengupta/notebook-8856eb063a51f3282cd9", "kernel_id": "43168"}, {"ref": "mishaa/notebook-3d95d07ba918140b4043", "kernel_id": "71392"}, {"ref": "wendyzhang1020/exploring-survival-on-the-titanic", "kernel_id": "49559"}, {"ref": "jhildreth/notebookae8e74a2e0", "kernel_id": "224934"}, {"ref": "vcadventures/a-journey-through-titanic", "kernel_id": "111305"}, {"ref": "gameboy4393/notebookb58e3b6b1b", "kernel_id": "131106"}, {"ref": "choonohlee/random-forest-benchmark-r", "kernel_id": "35109"}, {"ref": "choonohlee/test-script1", "kernel_id": "35118"}, {"ref": "silentboy302/pytry-tml", "kernel_id": "262953"}, {"ref": "dylancui/a-journey-through-titanic", "kernel_id": "142864"}, {"ref": "piotrtrochim/mytitanicpredictor", "kernel_id": "188835"}, {"ref": "fomge96/titanic", "kernel_id": "40173"}, {"ref": "rtaig1/notebook-4343040accd64177dc6a", "kernel_id": "39525"}, {"ref": "fabsod/introduction-to-ensembling-stacking-in-python", "kernel_id": "185761"}, {"ref": "baileysw/notebook-11ddfbe8db2a4de02240", "kernel_id": "35688"}, {"ref": "baileysw/titanic-ml", "kernel_id": "35349"}, {"ref": "presario/notebook12f3ba2c06", "kernel_id": "176204"}, {"ref": "larocca/an-interactive-data-science-tutorial", "kernel_id": "175942"}, {"ref": "andywan/data-import", "kernel_id": "249836"}, {"ref": "cstabb/notebook-d51a152557ec5f185447", "kernel_id": "35191"}, {"ref": "slyrena/notebookdf751e2a08", "kernel_id": "170059"}, {"ref": "filipj/notebook-2040729e188756f8bbc1", "kernel_id": "74677"}, {"ref": "filipj/notebook-0178a34885eef99962c9", "kernel_id": "74678"}, {"ref": "pkalmane/titanic-baseline-models-analyticsdojo", "kernel_id": "99227"}, {"ref": "pkalmane/notebookda4f95381a", "kernel_id": "99220"}, {"ref": "morninghapppy/first-python-scripy", "kernel_id": "80275"}, {"ref": "midshipman/a-journey-through-titanic", "kernel_id": "172773"}, {"ref": "midshipman/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "172761"}, {"ref": "thesarfaraz/a-journey-through-titanic", "kernel_id": "120081"}, {"ref": "zhouyzzz/notebook-3b861b08e5d12cdb9d67", "kernel_id": "35475"}, {"ref": "zhouyzzz/test-py", "kernel_id": "35472"}, {"ref": "prestonprice/notebookaa6ef07362", "kernel_id": "168308"}, {"ref": "dmitryfink/notebookf01d0cd546", "kernel_id": "213156"}, {"ref": "emorman/an-interactive-data-science-tutorial", "kernel_id": "239352"}, {"ref": "lizadams/titanic-data-science-solutions-liz", "kernel_id": "204689"}, {"ref": "christy0209/notebookae51bbd22b", "kernel_id": "256919"}, {"ref": "kookoo/notebook-fad813977f88fc5de353", "kernel_id": "36493"}, {"ref": "utkarshbharadwaj/an-interactive-data-science-tutorial", "kernel_id": "176620"}, {"ref": "utkarshbharadwaj/an-interactive-data-science-tutorial-2ef7d110", "kernel_id": "176631"}, {"ref": "weiyu322/kaggle-titanic-001", "kernel_id": "39243"}, {"ref": "ecobill/exploring-the-titanic-dataset", "kernel_id": "73535"}, {"ref": "ecobill/notebook-5b074294cb2ed248c888", "kernel_id": "73536"}, {"ref": "ecobill/notebook-32ed62dbfa9a0bbb1d3b", "kernel_id": "73537"}, {"ref": "ecobill/notebook-b28b91e2842863b3d929", "kernel_id": "73538"}, {"ref": "ecobill/notebook-24ba2fb0d6d012d3ceb9", "kernel_id": "73540"}, {"ref": "ecobill/notebook-03cf33c927b7ea9324df", "kernel_id": "67367"}, {"ref": "ecobill/study-of-tree-and-forest-algorithms", "kernel_id": "67362"}, {"ref": "manan1993/notebook-91fc02ccce3b7bf0fe7c", "kernel_id": "53273"}, {"ref": "myawarren/notebook-bc7ae2ac26b749aacccd", "kernel_id": "55306"}, {"ref": "josvdw/notebook-ad2c0d088b4ed4cb5e4b", "kernel_id": "35600"}, {"ref": "josvdw/a-journey-through-titanic", "kernel_id": "35593"}, {"ref": "josvdw/notebook-48193b7a15ad4951b78c", "kernel_id": "35594"}, {"ref": "josvdw/notebook-8c6e05e38e76df066626", "kernel_id": "35595"}, {"ref": "josvdw/notebook-833d9f04cd26b2dc8f62", "kernel_id": "36801"}, {"ref": "tbelkhei/notebook-e8fff74b4a9b18848706", "kernel_id": "64174"}, {"ref": "tbelkhei/titanic-disaster-kaggle-score-0-81818-top-4", "kernel_id": "284765"}, {"ref": "mtdonovan/a-journey-through-titanic-f2abf838", "kernel_id": "140570"}, {"ref": "mtdonovan/a-journey-through-titanic", "kernel_id": "140556"}, {"ref": "crytics/sales-forecasting", "kernel_id": "44454"}, {"ref": "crytics/notebook-348d350ed893d86c7131", "kernel_id": "44456"}, {"ref": "crytics/notebook-ea6c9aaefb8bf2085ee9", "kernel_id": "44457"}, {"ref": "crytics/notebook-94c8c405a28a6e14d876", "kernel_id": "44459"}, {"ref": "crytics/notebook-4db56438d03f9e9102a7", "kernel_id": "44460"}, {"ref": "crytics/decision-tree-visualization-submission", "kernel_id": "38765"}, {"ref": "crytics/notebook-5ec17833867156c91b2b", "kernel_id": "38779"}, {"ref": "crytics/notebook-d4b296909e0f4c002ab7", "kernel_id": "38801"}, {"ref": "crytics/notebook-c2a4178c2b851a35f867", "kernel_id": "38802"}, {"ref": "crytics/notebook-33990d8165d63f241a35", "kernel_id": "38804"}, {"ref": "crytics/notebook-cea00b799e6e12176f60", "kernel_id": "38805"}, {"ref": "crytics/notebook-e222fcd8cee12f6086aa", "kernel_id": "38806"}, {"ref": "crytics/notebook-15125e6a007edeb29609", "kernel_id": "38769"}, {"ref": "crytics/notebook-253c11810d8951f1eba1", "kernel_id": "38770"}, {"ref": "crytics/notebook-d46b869eea1efed52b5d", "kernel_id": "38771"}, {"ref": "crytics/titanic-decision", "kernel_id": "38772"}, {"ref": "crytics/notebook-041706d3707a9ee8b4c2", "kernel_id": "38774"}, {"ref": "han928/notebook-7990a0d82ba210f43afa", "kernel_id": "35650"}, {"ref": "jnthnwng/notebook-7c47f37e818e8cc4a3b9", "kernel_id": "73417"}, {"ref": "jnthnwng/titanic-eda", "kernel_id": "73418"}, {"ref": "prarthanarao/notebook1027198491", "kernel_id": "230451"}, {"ref": "freezer4ever/predictive-analysis-of-survival-rate-on-tit-0f01a0", "kernel_id": "247871"}, {"ref": "freezer4ever/notebooka75de1255b", "kernel_id": "247874"}, {"ref": "phsilveira/notebookb11c373671", "kernel_id": "88747"}, {"ref": "sethinico/premier-test", "kernel_id": "36728"}, {"ref": "sethinico/notebook-d59a49dead554a9e240b", "kernel_id": "37166"}, {"ref": "sethinico/a-journey-through-titanic", "kernel_id": "37169"}, {"ref": "vfilinkov/a-journey-through-titanic", "kernel_id": "88837"}, {"ref": "briangue/notebook-039f9fc9603783368c12", "kernel_id": "53584"}, {"ref": "willace/notebookd3e2b6a602", "kernel_id": "96157"}, {"ref": "sumitz/a-journey-through-titanic", "kernel_id": "98800"}, {"ref": "tdeep17/kaggle-titanic-001", "kernel_id": "158043"}, {"ref": "tdeep17/exploring-survival-on-the-titanic", "kernel_id": "158039"}, {"ref": "chuntakung/a-journey-through-titanic-532842d6", "kernel_id": "121545"}, {"ref": "chuntakung/a-journey-through-titanic", "kernel_id": "121533"}, {"ref": "debuggermalhotra/notebook516f436408", "kernel_id": "204107"}, {"ref": "debuggermalhotra/notebookb02e935443", "kernel_id": "245487"}, {"ref": "nuclear/notebook585f3abbc4", "kernel_id": "156509"}, {"ref": "voldov/ihiuhkjhu", "kernel_id": "41658"}, {"ref": "voldov/rf-with-k-folds", "kernel_id": "41659"}, {"ref": "voldov/notebook-bce6a211208a6d4be7e5", "kernel_id": "36979"}, {"ref": "voldov/random-forest-benchmark-r", "kernel_id": "35887"}, {"ref": "benakiva/titanic-xgboost", "kernel_id": "144663"}, {"ref": "benakiva/xgboost-trial", "kernel_id": "144666"}, {"ref": "thoolihan/notebook-2a16e185c4267396af21", "kernel_id": "73485"}, {"ref": "thoolihan/notebook-2f32b4b6807b8bcd6fb5", "kernel_id": "73479"}, {"ref": "thoolihan/titanicedainr", "kernel_id": "73480"}, {"ref": "thoolihan/notebook-ebc5560215707c2a0311", "kernel_id": "76844"}, {"ref": "xiaojunmeng/testing", "kernel_id": "117876"}, {"ref": "aritra8195/notebook4296724195", "kernel_id": "116701"}, {"ref": "victorbible/notebook6e05b4ebfd", "kernel_id": "219254"}, {"ref": "hollojeff/attempt1", "kernel_id": "38251"}, {"ref": "ablaikie/notebook-b69d76b9ed3871b9bd03", "kernel_id": "36842"}, {"ref": "ablaikie/tutorial", "kernel_id": "36843"}, {"ref": "ablaikie/notebook-330d0927d77a53d2d7f3", "kernel_id": "36638"}, {"ref": "quispiam/first-time-testing-scripts", "kernel_id": "80828"}, {"ref": "gemartin/exploring-matplotlib-api", "kernel_id": "709555"}, {"ref": "aceman/checkdatascript", "kernel_id": "201171"}, {"ref": "insunym/notebook-f34b8c21c4d0b90dc142", "kernel_id": "36001"}, {"ref": "insunym/titanic-first", "kernel_id": "36004"}, {"ref": "vranovaz/titanic", "kernel_id": "61847"}, {"ref": "shubhendugautam/notebook-7907bbe299f636fcd892", "kernel_id": "36022"}, {"ref": "chetanreddy/an-interactive-data-science-tutorial", "kernel_id": "262992"}, {"ref": "rjfahey/rjf001", "kernel_id": "40260"}, {"ref": "groovyydhruvy/notebook-aad27841426a79ea2164", "kernel_id": "36100"}, {"ref": "tong2016/notebook-e59640637367400939b5", "kernel_id": "57776"}, {"ref": "carly88/a-journey-through-titanic", "kernel_id": "117082"}, {"ref": "rubel20/notebook71ff8aecf8", "kernel_id": "217369"}, {"ref": "rubel20/notebookf1b3d73933", "kernel_id": "216882"}, {"ref": "rubel20/notebook", "kernel_id": "219948"}, {"ref": "rubel20/notebook91d089dcb8", "kernel_id": "219949"}, {"ref": "rinkey/a-journey-through-titanic", "kernel_id": "110330"}, {"ref": "bchan77/an-interactive-data-science-tutorial", "kernel_id": "169031"}, {"ref": "nerskin/predict", "kernel_id": "205067"}, {"ref": "anirbasu/titanic-script", "kernel_id": "52474"}, {"ref": "mayanksoni/notebookd9e5a5e61b", "kernel_id": "180066"}, {"ref": "mayanksoni/notebookc20a303ac6", "kernel_id": "180068"}, {"ref": "mayanksoni/notebook35ae828263", "kernel_id": "180071"}, {"ref": "mayanksoni/titanic-dataset", "kernel_id": "180076"}, {"ref": "mayanksoni/notebook9fcf38d513", "kernel_id": "180079"}, {"ref": "s7uff3r/57uff3r-titanic", "kernel_id": "138839"}, {"ref": "s7uff3r/titanic-best-working-classifier", "kernel_id": "138990"}, {"ref": "bigbigdata/notebook-badf9529e0825479efb1", "kernel_id": "36430"}, {"ref": "hpatel86/notebook869ea523bd", "kernel_id": "114527"}, {"ref": "thamaliw/random-forest-benchmark-r", "kernel_id": "98684"}, {"ref": "ketihf/notebook-a49bef0a7e6273d71ce8", "kernel_id": "63249"}, {"ref": "rishab031092/notebook8a95ce19d9", "kernel_id": "90487"}, {"ref": "vanjacksing/a-journey-through-titanic", "kernel_id": "100740"}, {"ref": "vanjacksing/titanic-data-science-solutions", "kernel_id": "189777"}, {"ref": "yarosh/notebook4665b37629", "kernel_id": "124392"}, {"ref": "yarosh/a-journey-through-titanic", "kernel_id": "136782"}, {"ref": "vincentlevasseur/notebook-35cc6012f42cc00f0296", "kernel_id": "36213"}, {"ref": "vincentlevasseur/titanic-script-examples", "kernel_id": "36214"}, {"ref": "khurshid/titanic-the-first-ride", "kernel_id": "149198"}, {"ref": "khurshid/notebook68ad484ab2", "kernel_id": "148940"}, {"ref": "jbakirov/another-titanic-kernel-54e7c6", "kernel_id": "307291"}, {"ref": "guspavia/scratchy", "kernel_id": "37330"}, {"ref": "guspavia/notebook-5157ff891dd58eb2e3d1", "kernel_id": "37331"}, {"ref": "zelongq/notebook60e7f7fcaa", "kernel_id": "245806"}, {"ref": "zelongq/simple-mlp-for-titanic-survival", "kernel_id": "245839"}, {"ref": "aman2690/first-kaggle1", "kernel_id": "80017"}, {"ref": "aman2690/notebook-d2d6a8c3f841c69a254e", "kernel_id": "80323"}, {"ref": "aman2690/notebook-511b95290ed28346aad7", "kernel_id": "80320"}, {"ref": "aman2690/notebook-29e360abe0fd74d61229", "kernel_id": "80321"}, {"ref": "aman2690/first-kaggle", "kernel_id": "79480"}, {"ref": "aman2690/notebooka4e9e80ec5", "kernel_id": "92260"}, {"ref": "shrey92/notebook-b34cc8db574185c032a6", "kernel_id": "75352"}, {"ref": "shrey92/notebook-a6a9bc4fd0a2f74d7efd", "kernel_id": "75353"}, {"ref": "shrey92/notebook-f0df6c98e390529a845e", "kernel_id": "75367"}, {"ref": "eng543/notebook4d1dafe174", "kernel_id": "233393"}, {"ref": "pdelano5/notebook4b1ed5460b", "kernel_id": "194449"}, {"ref": "phantom1911/a-journey-through-titanic", "kernel_id": "89796"}, {"ref": "susantosoh/has-tut", "kernel_id": "273596"}, {"ref": "susantosoh/an-interactive-data-science-tutorial-990437", "kernel_id": "273854"}, {"ref": "maximus19/notebook03d971e36b", "kernel_id": "187780"}, {"ref": "uchiboss/notebookd2ffefdf8e", "kernel_id": "104491"}, {"ref": "vbs333/notebookb3e7a03ff0", "kernel_id": "159781"}, {"ref": "lefnire/just-a-test", "kernel_id": "218057"}, {"ref": "jarppa/notebookf23e15c91d", "kernel_id": "224020"}, {"ref": "yiklunlee/notebook-e0350ca706b4103422f8", "kernel_id": "43784"}, {"ref": "yiklunlee/notebook-8c315dfec898e72726e9", "kernel_id": "43785"}, {"ref": "yiklunlee/notebook-870031105d3059cdd75a", "kernel_id": "45187"}, {"ref": "martinanaumovska/notebook53ef03c3df", "kernel_id": "164978"}, {"ref": "fancoo/a-journey-through-titanic", "kernel_id": "151570"}, {"ref": "fancoo/titanic-data-science-solutions-2fe8da", "kernel_id": "204356"}, {"ref": "jcoolin8s/titanic-survival-predictions-with-randomfor-4b484e", "kernel_id": "429728"}, {"ref": "mikeayen/notebook-2e6e7653852eca8ea72c", "kernel_id": "56025"}, {"ref": "rishikeshkushwaha/notebookd3a57f1e0e", "kernel_id": "145897"}, {"ref": "adamringhede/notebookc94c977a59", "kernel_id": "235675"}, {"ref": "pgratia/notebook-c7498168dfadd504ed67", "kernel_id": "52870"}, {"ref": "bhagyaraj212/a-journey-through-titanic", "kernel_id": "186892"}, {"ref": "auzyze/exploring-features-on-titanic-dataset", "kernel_id": "56646"}, {"ref": "suivi11/titanic-machine-learning-from-disaster", "kernel_id": "241632"}, {"ref": "yonatanf/first-exploration", "kernel_id": "36577"}, {"ref": "bp249507/a-journey-through-titanic", "kernel_id": "95300"}, {"ref": "angelmejiabrito/titanic-angel", "kernel_id": "60399"}, {"ref": "angelmejiabrito/notebook-3862b9482f1412558dc3", "kernel_id": "60400"}, {"ref": "jeffhoeber522/visualization-and-running-various-models", "kernel_id": "50231"}, {"ref": "zoe4028/notebooke24b64df2f", "kernel_id": "196268"}, {"ref": "zoe4028/notebook1461fdc78c", "kernel_id": "196266"}, {"ref": "zoe4028/a-journey-through-titanic", "kernel_id": "179199"}, {"ref": "yuikita/a-journey-through-titanic-6275a80b", "kernel_id": "92978"}, {"ref": "yuikita/a-journey-through-titanic-295b523c", "kernel_id": "93001"}, {"ref": "yuikita/a-journey-through-titanic", "kernel_id": "92675"}, {"ref": "issaisasank/notebook14de4ea0b8", "kernel_id": "280288"}, {"ref": "grag2015/random-forest", "kernel_id": "100908"}, {"ref": "kristenwitte/preliminary-exploration", "kernel_id": "71410"}, {"ref": "wangyujie/notebook-445ba1578fd1a7a7e34d", "kernel_id": "38823"}, {"ref": "wangyujie/titanic-ml", "kernel_id": "38815"}, {"ref": "wangyujie/a-journey-through-titanic", "kernel_id": "38794"}, {"ref": "lisenegger/kaggle-titanic-lir", "kernel_id": "38082"}, {"ref": "huangruoyu/notebook-4d8174066bdcba9b99ba", "kernel_id": "44547"}, {"ref": "prantikbubun/a-journey-through-titanic", "kernel_id": "171376"}, {"ref": "prantikbubun/a-journey-through-titanic-7d6a80a7", "kernel_id": "171377"}, {"ref": "ripcurl/1-titanic-survival-python", "kernel_id": "963374"}, {"ref": "darshilbabel/notebook8e689f90ca", "kernel_id": "251339"}, {"ref": "briouf/study-of-tree-and-forest-algorithms", "kernel_id": "66480"}, {"ref": "prashastigodara/practicing-eda", "kernel_id": "57471"}, {"ref": "datageekuro/exploratory-tutorial-titanic", "kernel_id": "104495"}, {"ref": "qiubite31/default-script", "kernel_id": "108677"}, {"ref": "rickyall/notebook3e6c910570", "kernel_id": "93002"}, {"ref": "rickyall/notebook3785404a2b", "kernel_id": "92531"}, {"ref": "boyarka/notebook-fdec316011b29f54de32", "kernel_id": "37106"}, {"ref": "boyarka/r-lda-script", "kernel_id": "37110"}, {"ref": "vavrutov/a-journey-through-titanic", "kernel_id": "184995"}, {"ref": "kimpronk/notebookbbb9e95d68", "kernel_id": "104567"}, {"ref": "ktorimaru/titanic-test", "kernel_id": "40239"}, {"ref": "ktorimaru/notebook-d7a41934466202a13660", "kernel_id": "40237"}, {"ref": "jckhang/a-journey-through-titanic", "kernel_id": "82010"}, {"ref": "q4tiksprk/33shipst", "kernel_id": "429128"}, {"ref": "kotaroito/notebook-6d09f6d8eea080ff97d3", "kernel_id": "81647"}, {"ref": "kotaroito/titanic", "kernel_id": "80192"}, {"ref": "sendos/titanic-analysis", "kernel_id": "249955"}, {"ref": "djcotter/notebook-cb202a0f2856bec74713", "kernel_id": "37224"}, {"ref": "pjesser/notebook-0143b70a5ff1626d75b6", "kernel_id": "37977"}, {"ref": "pjesser/notebook-132c9ca10b9a9b8c9900", "kernel_id": "37975"}, {"ref": "ratna364/titanic-data-set", "kernel_id": "260953"}, {"ref": "hmarlowe/titanic-regressions", "kernel_id": "498273"}, {"ref": "stratussox/a-journey-through-titanic", "kernel_id": "90218"}, {"ref": "tdiwan/a-journey-through-titanic", "kernel_id": "90596"}, {"ref": "foxpowa/a-journey-through-titanic", "kernel_id": "101432"}, {"ref": "xinlutan/notebook3bb9f75969", "kernel_id": "93460"}, {"ref": "xinlutan/notebook29c8c886d8", "kernel_id": "93442"}, {"ref": "dawehner/notebook1c4477799d", "kernel_id": "188143"}, {"ref": "tancredo/a-journey-through-titanic", "kernel_id": "130621"}, {"ref": "gogogovictor/preliminary-exploration", "kernel_id": "73419"}, {"ref": "linonymous/temptemp", "kernel_id": "175020"}, {"ref": "ankush56k/a-journey-through-titanic", "kernel_id": "99401"}, {"ref": "gabtab/notebook0f2dce38a9", "kernel_id": "91386"}, {"ref": "gabtab/fork-of-notebook9f73e9c803", "kernel_id": "91282"}, {"ref": "gabtab/notebook622cb04295", "kernel_id": "204622"}, {"ref": "luoyuweidu1/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "155721"}, {"ref": "jfallon/notebook-b7802c9c0407fe040d29", "kernel_id": "38840"}, {"ref": "jfallon/notebook-f960f53aaa31a36117bc", "kernel_id": "38841"}, {"ref": "wangjiahong666/a-journey-through-titanic", "kernel_id": "61535"}, {"ref": "bfoutty/notebook-74e2e148a422c62bf461", "kernel_id": "37459"}, {"ref": "wufasa/test-r", "kernel_id": "130378"}, {"ref": "tomiwa/test-notebook", "kernel_id": "47482"}, {"ref": "tomiwa/notebook-26692608efdd49bac708", "kernel_id": "72692"}, {"ref": "tomiwa/python-seaborn-pairplot-example", "kernel_id": "72667"}, {"ref": "tomiwa/notebook-06f4db9afaac164e7ee0", "kernel_id": "72669"}, {"ref": "ericboris/raising-anchor", "kernel_id": "37522"}, {"ref": "lucianoviola/notebook-70a1179b27b41c18e1cf", "kernel_id": "44245"}, {"ref": "yychen/testofdata", "kernel_id": "180683"}, {"ref": "yychen/firststep", "kernel_id": "179486"}, {"ref": "xiaofei/a-journey-through-titanic", "kernel_id": "93679"}, {"ref": "acknostar/notebook3ed20e0592", "kernel_id": "98195"}, {"ref": "byandby/notebook55d8cf0448", "kernel_id": "193397"}, {"ref": "byandby/revisit-on-titanic", "kernel_id": "193444"}, {"ref": "zetta217/stupid-title", "kernel_id": "38412"}, {"ref": "shubhi18/notebook-07d6aa11e7268cec5de3", "kernel_id": "37753"}, {"ref": "jalota16/titanic-first-neural-network-approach", "kernel_id": "100628"}, {"ref": "allanzhou/notebook-892c824a7873e27c4661", "kernel_id": "81407"}, {"ref": "goncaloazinheiro/exploring-survival-on-the-titanic", "kernel_id": "105142"}, {"ref": "goncaloazinheiro/notebook00324c843e", "kernel_id": "229928"}, {"ref": "cclzxl/a-journey-through-titanic", "kernel_id": "176548"}, {"ref": "cclzxl/notebook0d17bf8705", "kernel_id": "176578"}, {"ref": "lucasyliu/notebook-ca92dd6fac78e96f45c2", "kernel_id": "58455"}, {"ref": "utilisateur/notebookb9e5c33a72", "kernel_id": "123315"}, {"ref": "mrmessy/titanic", "kernel_id": "237803"}, {"ref": "erccarls/notebook-1550dbd47d7adfdaaddb", "kernel_id": "43775"}, {"ref": "soappowder/notebookfd1d9a1309", "kernel_id": "92101"}, {"ref": "vincentt/notebookc9681ca417", "kernel_id": "133048"}, {"ref": "alejandrorivas/titanic-beginners-principiantes-espa-ol", "kernel_id": "80045"}, {"ref": "alejandrorivas/exploring-survival-on-the-titanic", "kernel_id": "80369"}, {"ref": "tedrand/model-comparison-sklearn", "kernel_id": "92482"}, {"ref": "tedrand/test-run", "kernel_id": "78012"}, {"ref": "tedrand/notebook-cd68d0618c373a101c3a", "kernel_id": "78385"}, {"ref": "tedrand/notebook-24e9b868c142e6f80192", "kernel_id": "78367"}, {"ref": "vladislavkargin/predicting-survival", "kernel_id": "46053"}, {"ref": "xjd0kag/a-journey-through-titanic", "kernel_id": "67154"}, {"ref": "xjd0kag/kaggle-titanic-001", "kernel_id": "67232"}, {"ref": "gosuddin/myfirstattempt", "kernel_id": "163638"}, {"ref": "f1ngaa/kaggle-titanic-001", "kernel_id": "39329"}, {"ref": "tranquangdai007/study-of-tree-and-forest-algorithms", "kernel_id": "81712"}, {"ref": "tranquangdai007/notebook-4874149f713b6a947a3a", "kernel_id": "81713"}, {"ref": "tranquangdai007/notebook-eb77e88a1fea409baa44", "kernel_id": "81714"}, {"ref": "javiersanchezmedina/ranger", "kernel_id": "103789"}, {"ref": "javiersanchezmedina/decision-tree-visualization-submission", "kernel_id": "94937"}, {"ref": "ijeenalee/notebook-29278f4c6972cb5b4027", "kernel_id": "38241"}, {"ref": "johnandrews/notebook-4368bf2562a41ed84b58", "kernel_id": "40535"}, {"ref": "johnandrews/notebook-35b04877a31e14044d1d", "kernel_id": "40538"}, {"ref": "kozonishida/mytitanic2", "kernel_id": "355861"}, {"ref": "vpetranovic/notebook-452e7954d313bd286704", "kernel_id": "40068"}, {"ref": "nishanthjois/notebooka52092b7e0", "kernel_id": "248244"}, {"ref": "nishanthjois/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "248245"}, {"ref": "altini/notebook9ded26d6a8", "kernel_id": "113368"}, {"ref": "giamluc/titanic-best-working-classifier", "kernel_id": "142408"}, {"ref": "giamluc/titanic", "kernel_id": "144216"}, {"ref": "giamluc/notebooka6b36c7b7f", "kernel_id": "144217"}, {"ref": "sunyuanfish/notebookcd1452b35e", "kernel_id": "248441"}, {"ref": "emily2016/titanic-random-forest-82-78", "kernel_id": "182105"}, {"ref": "emily2016/exploratory-tutorial-titanic-5d57f6", "kernel_id": "191433"}, {"ref": "emily2016/exploratory-tutorial-titanic-c16d2ea6", "kernel_id": "123781"}, {"ref": "emily2016/exploratory-tutorial-titanic-5a3b4256", "kernel_id": "123147"}, {"ref": "emily2016/exploratory-tutorial-titanic", "kernel_id": "118023"}, {"ref": "jeremyloscheider/notebook2e0d2055b9", "kernel_id": "200908"}, {"ref": "thijshermans/notebook082afaad1d", "kernel_id": "212203"}, {"ref": "aagundez/notebook021d514e07", "kernel_id": "271857"}, {"ref": "aagundez/notebook30c8b2deca", "kernel_id": "198645"}, {"ref": "aagundez/notebookacbb87b6ea", "kernel_id": "196331"}, {"ref": "aagundez/notebook7a4af7cab2", "kernel_id": "196332"}, {"ref": "aagundez/notebookf82f4d84b9", "kernel_id": "195619"}, {"ref": "aagundez/titanic", "kernel_id": "58777"}, {"ref": "aagundez/titanic-xgboost", "kernel_id": "66953"}, {"ref": "aagundez/notebook75f5300310", "kernel_id": "91636"}, {"ref": "baileyhsu/titanic-data-science-solutions", "kernel_id": "192711"}, {"ref": "suresh9043/attempt-1", "kernel_id": "58359"}, {"ref": "younasm/notebookc2ead57379", "kernel_id": "117926"}, {"ref": "younasm/notebook8251070720", "kernel_id": "118721"}, {"ref": "younasm/notebookdde881ad48", "kernel_id": "118180"}, {"ref": "chinstan/titanic-data-science-solutionsa", "kernel_id": "209585"}, {"ref": "tarekbs/a-journey-through-titanic", "kernel_id": "94636"}, {"ref": "etellier/a-journey-through-titanic", "kernel_id": "150984"}, {"ref": "mehryar/firstscript", "kernel_id": "158765"}, {"ref": "jsoishi/notebook6bfa9e591f", "kernel_id": "142397"}, {"ref": "aniketb/a-journey-through-titanic-486fec42", "kernel_id": "157544"}, {"ref": "aniketb/a-journey-through-titanic", "kernel_id": "155275"}, {"ref": "rahulkumarvij/notebookdbb71692e2", "kernel_id": "249233"}, {"ref": "krishnamadgula/krishna-titanic-proj", "kernel_id": "51662"}, {"ref": "charlesbernando/notebook-5e60a8c7bb8481c3c4de", "kernel_id": "48723"}, {"ref": "charlesbernando/notebook-5a7a97a6bee2e3ac0ca1", "kernel_id": "48744"}, {"ref": "charlesbernando/notebook-44e9a3b62859c69dcd63", "kernel_id": "48745"}, {"ref": "ss123687400/notebook-777d51085d2702e77f15", "kernel_id": "44995"}, {"ref": "sungmin1010/notebook69271ce9e5", "kernel_id": "112582"}, {"ref": "helgejo/a-journey-through-titanic", "kernel_id": "159250"}, {"ref": "helgejo/titanic-data-science-solutions", "kernel_id": "150584"}, {"ref": "helgejo/an-interactive-data-science-tutorial", "kernel_id": "167795"}, {"ref": "sstudyer/a-journey-through-titanic", "kernel_id": "91153"}, {"ref": "abhijeetbiswasiitb/a-journey-through-titanic", "kernel_id": "172077"}, {"ref": "newman123/notebook344e8762b6", "kernel_id": "162625"}, {"ref": "newman123/notebook1a7e2254a1", "kernel_id": "259657"}, {"ref": "ronakanch/notebook7c27015cae", "kernel_id": "177087"}, {"ref": "ronakanch/notebookdaaa9901f7", "kernel_id": "177139"}, {"ref": "mdash19/titanic11", "kernel_id": "42804"}, {"ref": "bam865/notebook7200c330f6", "kernel_id": "217900"}, {"ref": "gotaras/training-script", "kernel_id": "39388"}, {"ref": "avi123/awanish-py", "kernel_id": "55614"}, {"ref": "deviprasanth/titanic", "kernel_id": "226706"}, {"ref": "mculman/testy", "kernel_id": "38930"}, {"ref": "mlussa/titanic-exploration-rl", "kernel_id": "689911"}, {"ref": "arunan/kaggle-titanic-001", "kernel_id": "40220"}, {"ref": "kumiko/test-notebook", "kernel_id": "65570"}, {"ref": "kumiko/notebook-9207cfc10cb05d4ea30f", "kernel_id": "65400"}, {"ref": "bryantbiggs/notebook9c4734adcf", "kernel_id": "86728"}, {"ref": "asharm/titanic-data-science-solutions", "kernel_id": "175114"}, {"ref": "kyletabor/introduction-to-ensembling-stacking-in-python", "kernel_id": "200435"}, {"ref": "michielvm/a-journey-through-titanic", "kernel_id": "98442"}, {"ref": "marcobirck/notebook-8fa0ada659e31d9c9080", "kernel_id": "84323"}, {"ref": "asjchen/titanic-machine-learning-from-disaster", "kernel_id": "321002"}, {"ref": "jasonbelle/notebook-5adfb1e43e9e246fecae", "kernel_id": "40246"}, {"ref": "marcelpedroso/titaniclearningqi", "kernel_id": "245251"}, {"ref": "trangmx/a-journey-through-titanic", "kernel_id": "95136"}, {"ref": "trangmx/start-ml-journey-with-titanic", "kernel_id": "107870"}, {"ref": "shradz18/an-interactive-data-science-tutorial", "kernel_id": "271626"}, {"ref": "shradz18/exploring-survival-on-the-titanic", "kernel_id": "157278"}, {"ref": "vihangpatil/first-model-on-titanic-dataset", "kernel_id": "82833"}, {"ref": "takuyasakaguchi/cleveland-data-science-code-1-6-18", "kernel_id": "525572"}, {"ref": "takuyasakaguchi/first-titanic-notebook", "kernel_id": "97293"}, {"ref": "mbottjer/titanic-best-working-classifier", "kernel_id": "194963"}, {"ref": "mbottjer/the-beginning", "kernel_id": "194964"}, {"ref": "mbottjer/introduction-to-ensembling-stacking-in-python", "kernel_id": "194960"}, {"ref": "gurukatagi/notebook7430eef093", "kernel_id": "279632"}, {"ref": "ivashin/notebook6f695c05eb", "kernel_id": "203591"}, {"ref": "zarradmh/notebook30e245ce01", "kernel_id": "213224"}, {"ref": "zarradmh/notebookc64a4a57d1", "kernel_id": "214059"}, {"ref": "deetaurus/titanic-notebook", "kernel_id": "39568"}, {"ref": "deetaurus/notebook-f73ea51eb354161ccc43", "kernel_id": "39600"}, {"ref": "mhsn06/test-karnel", "kernel_id": "118556"}, {"ref": "astralcc/titanic", "kernel_id": "270848"}, {"ref": "tsvetk0ff/notebook-9f5628d092a8c541e6bf", "kernel_id": "84939"}, {"ref": "tsvetk0ff/notebook-d4ec12fa46415a75f607", "kernel_id": "83932"}, {"ref": "tsvetk0ff/titanic-1st", "kernel_id": "80115"}, {"ref": "dwright3/notebook-29c156c99ebf78acbde0", "kernel_id": "53188"}, {"ref": "lasseboerresen/notebook-acdad9de5eddaf337a48", "kernel_id": "39394"}, {"ref": "lasseboerresen/notebook-317d05de6d0aaf62590d", "kernel_id": "39412"}, {"ref": "lasseboerresen/notebook-6263c0952bab16c2e77e", "kernel_id": "39413"}, {"ref": "lasseboerresen/notebook-421ed418ad234e26ac76", "kernel_id": "39414"}, {"ref": "classykaggler/titanic", "kernel_id": "51725"}, {"ref": "imaginationsuper/notebook-e8036766f4cc49b3ef62", "kernel_id": "66447"}, {"ref": "imaginationsuper/notebook-44b888257170d570f212", "kernel_id": "66448"}, {"ref": "imaginationsuper/solution", "kernel_id": "66449"}, {"ref": "zhuangyan2005/a-journey-through-titanic", "kernel_id": "177599"}, {"ref": "duffyd/notebookd799611a4c", "kernel_id": "123917"}, {"ref": "babanath/notebook-5f8dfaf6ddb8dc465d5e", "kernel_id": "43283"}, {"ref": "hcljas/installed-r-packages", "kernel_id": "43640"}, {"ref": "leocalzavara/notebook251f6ccc09", "kernel_id": "265733"}, {"ref": "leocalzavara/titanic", "kernel_id": "265720"}, {"ref": "bolids/notebook-f537fd466b781f834369", "kernel_id": "54843"}, {"ref": "bolids/test1", "kernel_id": "69060"}, {"ref": "pituganov/notebook4fff2bf1bb", "kernel_id": "235904"}, {"ref": "devanshdalal/a-journey-through-titanic", "kernel_id": "185264"}, {"ref": "devanshdalal/a-journey-through-titanic-e65fa3", "kernel_id": "189044"}, {"ref": "devanshdalal/titanic-survivor-predictions", "kernel_id": "195921"}, {"ref": "cpeng13/study-of-tree-and-forest-algorithms", "kernel_id": "67446"}, {"ref": "cpeng13/titanic", "kernel_id": "68689"}, {"ref": "cpeng13/notebook-dc3c0f4f7fe8fa1456ab", "kernel_id": "71917"}, {"ref": "cpeng13/notebook-f8554fa67f57441a54a2", "kernel_id": "71918"}, {"ref": "cpeng13/notebook-ad03a06e127ccde273be", "kernel_id": "71868"}, {"ref": "cpeng13/notebook-ff23b9938de8670f151f", "kernel_id": "71870"}, {"ref": "adrianprayoga/visualization-and-feature-engineering", "kernel_id": "71073"}, {"ref": "bouscaa/notebook-e70629c608cd20151aef", "kernel_id": "39886"}, {"ref": "thallesbarba/notebook3f7214ea4c", "kernel_id": "152482"}, {"ref": "velicci/titanic", "kernel_id": "39639"}, {"ref": "cocu23/titanic-data-analysis-and-machine-learning", "kernel_id": "157511"}, {"ref": "dingyang/introduction-to-ensembling-stacking-in-python", "kernel_id": "196923"}, {"ref": "ralphsmeenk/a-journey-through-titanic", "kernel_id": "39848"}, {"ref": "ralphsmeenk/notebook-ca85f5950a0e89cebe40", "kernel_id": "39849"}, {"ref": "ralphsmeenk/notebook-712cdf0212408c757e57", "kernel_id": "39851"}, {"ref": "ratndeo/a-journey-through-titanic-aabf13bd", "kernel_id": "123693"}, {"ref": "ratndeo/a-journey-through-titanic-c707fbb3", "kernel_id": "123694"}, {"ref": "visteraxel/notebookf8bbc8adc4", "kernel_id": "103023"}, {"ref": "alicepike/notebook7ea58647bc", "kernel_id": "277014"}, {"ref": "hanlinyeo/notebook-20db13ac6a5459117e64", "kernel_id": "43427"}, {"ref": "hanlinyeo/model-v1-0", "kernel_id": "43424"}, {"ref": "xiaoxing/notebook4a8fcb21b0", "kernel_id": "223982"}, {"ref": "xiaoxing/notebook9276860102", "kernel_id": "224803"}, {"ref": "sagar3213/titanic", "kernel_id": "41409"}, {"ref": "akash110/titanic-ml-from-diaster", "kernel_id": "80023"}, {"ref": "milindaj/notebook-ca8d7fbc84bee18667a3", "kernel_id": "47855"}, {"ref": "wing168/exploratory-tutorial-titanic-disaster", "kernel_id": "121694"}, {"ref": "goudot/notebook-e596c21bf0b580b05513", "kernel_id": "40319"}, {"ref": "goudot/notebook-6cc72e58ba27cc0a3028", "kernel_id": "40320"}, {"ref": "smilesydney/notebook-b5ba6a837d0402da5257", "kernel_id": "46514"}, {"ref": "notia81/exploratory", "kernel_id": "196390"}, {"ref": "notia81/notebookef04766c13", "kernel_id": "196392"}, {"ref": "zpengseu/exploratory-tutorial-titanic", "kernel_id": "109087"}, {"ref": "mayosuke/python-notebook-for-titanic-competition", "kernel_id": "281939"}, {"ref": "hellonearthv2/test-readfile", "kernel_id": "44792"}, {"ref": "hellonearthv2/titanicsurvival-rfmodel", "kernel_id": "44794"}, {"ref": "llboss/notebook-a8ae0e88a4aae677c722", "kernel_id": "44527"}, {"ref": "gongzero/notebookb86cf75994", "kernel_id": "114064"}, {"ref": "anthonyhu/simple-stacking-with-xgboost-0-808", "kernel_id": "168175"}, {"ref": "sagar799/titanic-random-forest-82-78", "kernel_id": "181241"}, {"ref": "smartolivia/notebook-2f8e414e269fa692864e", "kernel_id": "66184"}, {"ref": "ashishagg/roy-s-titanic-notebook", "kernel_id": "154695"}, {"ref": "khvoric/notebooka7bca292a4", "kernel_id": "159520"}, {"ref": "khvoric/notebook43e2496b4d", "kernel_id": "238411"}, {"ref": "tangyudi/a-journey-through-titanic", "kernel_id": "115497"}, {"ref": "pwinslow/notebook47be7dec4a", "kernel_id": "103099"}, {"ref": "pwinslow/titanic-survival-prediction", "kernel_id": "103446"}, {"ref": "codington/notebookc48d5cbc53", "kernel_id": "321917"}, {"ref": "taeheekim/notebook89f44beb08", "kernel_id": "114742"}, {"ref": "alangdon1302539/titanic-test", "kernel_id": "43150"}, {"ref": "teja86955/notebookfc0a6e4480", "kernel_id": "206515"}, {"ref": "alomoreau/notebook-2393f5f64e01c12e0cec", "kernel_id": "46587"}, {"ref": "liz1411/script-1-0-2", "kernel_id": "40432"}, {"ref": "liz1411/script-1-0-1", "kernel_id": "40163"}, {"ref": "robertknight/titanic-mechanic-machine-learning", "kernel_id": "152654"}, {"ref": "michaelmmeskhi/titanic-survival", "kernel_id": "283076"}, {"ref": "frost07/notebook-dbdacc99b59debb3f057", "kernel_id": "48606"}, {"ref": "frost07/eeeee", "kernel_id": "48608"}, {"ref": "muellerm/notebook-10b35765fbbf93a7b177", "kernel_id": "70471"}, {"ref": "muellerm/notebook-a6fb004906d3f5e1dbb2", "kernel_id": "67437"}, {"ref": "muellerm/notebook-a76288cbe5919c83f27b", "kernel_id": "66156"}, {"ref": "muellerm/notebook-f2b3aa2a2516de71bfc2", "kernel_id": "66157"}, {"ref": "muellerm/notebook-7a359363eaf81885ee52", "kernel_id": "66158"}, {"ref": "muellerm/notebook-48f794f8a39e0983273b", "kernel_id": "66159"}, {"ref": "muellerm/notebook-7feca8f3d9aa37d18a8b", "kernel_id": "66454"}, {"ref": "muellerm/notebook-ad3881d38dc369eb5c8f", "kernel_id": "65770"}, {"ref": "muellerm/notebook-aa6f23ceb59367b711e2", "kernel_id": "65771"}, {"ref": "muellerm/study-of-tree-and-forest-algorithms", "kernel_id": "65768"}, {"ref": "muellerm/notebook-0a181a698879ee04f482", "kernel_id": "65821"}, {"ref": "muellerm/notebook-1b1b3f61f01ee65e4b9d", "kernel_id": "74424"}, {"ref": "muellerm/notebook-468f795750e93e9f53ad", "kernel_id": "74199"}, {"ref": "muellerm/notebook-87256b3b00b57c05d8fa", "kernel_id": "76092"}, {"ref": "leenas/notebook49cbda6a0c", "kernel_id": "95810"}, {"ref": "leenas/kaggle-practice101-titanic", "kernel_id": "95814"}, {"ref": "leenas/a-journey-through-titanic", "kernel_id": "95770"}, {"ref": "dreyxvx/titanic", "kernel_id": "40607"}, {"ref": "vekumar/notebook2c24be2565", "kernel_id": "93223"}, {"ref": "dawsonhenry/test-script-editor", "kernel_id": "56458"}, {"ref": "luoling/notebook2705a04e04", "kernel_id": "183344"}, {"ref": "prasannaj164/script-py", "kernel_id": "96765"}, {"ref": "jinchengjun/notebook7082752b3e", "kernel_id": "97407"}, {"ref": "arnaumerc/simple-glm", "kernel_id": "344420"}, {"ref": "amrnasr/exploring-survival-on-the-titanic", "kernel_id": "373469"}, {"ref": "graceno/notebook-54b4bffa7088e258c14c", "kernel_id": "40400"}, {"ref": "nebooch/a-journey-through-titanic", "kernel_id": "118840"}, {"ref": "babebe/notebook-23297d2f4f58760384a0", "kernel_id": "46731"}, {"ref": "babebe/test1-run-script", "kernel_id": "46474"}, {"ref": "ravich999/titanic-ml", "kernel_id": "40563"}, {"ref": "ravich999/notebook-6bde6ba5d291bb4f98fe", "kernel_id": "40565"}, {"ref": "dataggle08/a-journey-through-titanic", "kernel_id": "101723"}, {"ref": "adv34715/a-journey-through-titanic-ed8d3636", "kernel_id": "101551"}, {"ref": "adv34715/a-journey-through-titanic", "kernel_id": "101475"}, {"ref": "adv34715/notebookc14e1652ca", "kernel_id": "102441"}, {"ref": "jaychu/notebook-61bba1f36198747b4a4b", "kernel_id": "43732"}, {"ref": "jaychu/logisticregression-of-titanic", "kernel_id": "43733"}, {"ref": "sun1507/exploratory-tutorial-titanic", "kernel_id": "166718"}, {"ref": "sun1507/exploratory-tutorial-titanic-disaster", "kernel_id": "158939"}, {"ref": "sun1507/mastering-the-basics-on-the-rms-titanic", "kernel_id": "158937"}, {"ref": "dataking1990/random-forest-benchmark-r", "kernel_id": "42956"}, {"ref": "dvvudaykiran/notebookf93f390610", "kernel_id": "405390"}, {"ref": "ravitej310/submit-1-first-time-ever", "kernel_id": "80646"}, {"ref": "nargiza/notebook-4543b4aaab74638c6c88", "kernel_id": "56083"}, {"ref": "nargiza/notebook-b5c2ef0af35a32ee2afb", "kernel_id": "56081"}, {"ref": "jax6969/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "158281"}, {"ref": "rah5ff/exploring-the-titanic-survival", "kernel_id": "41131"}, {"ref": "rah5ff/test-python", "kernel_id": "41140"}, {"ref": "rah5ff/notebook-2a23e99054e83906c368", "kernel_id": "41150"}, {"ref": "rah5ff/notebook-81762bcf7417ccd7f010", "kernel_id": "41151"}, {"ref": "rah5ff/notebook-a5e9f05ad9f281cfd818", "kernel_id": "41152"}, {"ref": "samiuddin/a-journey-through-titanic", "kernel_id": "134272"}, {"ref": "brunoparis/teststsss", "kernel_id": "43907"}, {"ref": "b3nj4m/titanic", "kernel_id": "64219"}, {"ref": "bmithun/notebook-89bfeed1fc78f27eb76d", "kernel_id": "77078"}, {"ref": "bmithun/notebook-8baf787f4b9d433c103a", "kernel_id": "77067"}, {"ref": "bmithun/notebook-7fcc1da6c4deb64f9fc0", "kernel_id": "77064"}, {"ref": "bmithun/notebook-5d4c187cdd639bf8d63b", "kernel_id": "77065"}, {"ref": "bmithun/notebook-375364de7e2184512389", "kernel_id": "77092"}, {"ref": "bmithun/notebook-94a498b008a41cb069ad", "kernel_id": "77303"}, {"ref": "bmithun/notebook-82ed2e9b47f7a28aacc7", "kernel_id": "77172"}, {"ref": "bmithun/titanic-survival", "kernel_id": "65374"}, {"ref": "bmithun/notebook-c7e4a3149cf1257c97a8", "kernel_id": "66131"}, {"ref": "bmithun/notebook-cc7ebf9f152d39d9b380", "kernel_id": "66098"}, {"ref": "rtcliffo/first-script", "kernel_id": "42944"}, {"ref": "rtcliffo/notebook-fa40668b1a45dbad74a0", "kernel_id": "46785"}, {"ref": "rtcliffo/notebook-41666a6fd6daa3f035c3", "kernel_id": "46786"}, {"ref": "rtcliffo/default-code", "kernel_id": "46791"}, {"ref": "rtcliffo/pythontutorial1-2", "kernel_id": "46793"}, {"ref": "rtcliffo/python-tut-1-4", "kernel_id": "46794"}, {"ref": "rtcliffo/python-tut-1-7-second-submission", "kernel_id": "47064"}, {"ref": "rtcliffo/python-tut-1-5", "kernel_id": "47058"}, {"ref": "rtcliffo/python-tut-1-6-read-write-as-csv", "kernel_id": "47060"}, {"ref": "rtcliffo/python-tut-1-8-2nd-submission", "kernel_id": "47551"}, {"ref": "rtcliffo/python-tut-1-9-2nd-submission", "kernel_id": "47562"}, {"ref": "rtcliffo/notebook-06e2176c2385f113142d", "kernel_id": "47564"}, {"ref": "rtcliffo/python-tut-1-using-providing-file", "kernel_id": "47565"}, {"ref": "rtcliffo/randomforestprovidedfile", "kernel_id": "47771"}, {"ref": "rtcliffo/random-forest-paramete-change-1", "kernel_id": "48935"}, {"ref": "rtcliffo/rf-no-embarcation", "kernel_id": "49600"}, {"ref": "rtcliffo/change-from-random-forest-attempt", "kernel_id": "49564"}, {"ref": "rtcliffo/multinomialnb", "kernel_id": "57891"}, {"ref": "rtcliffo/bi-t2", "kernel_id": "55044"}, {"ref": "rtcliffo/bi-test", "kernel_id": "55033"}, {"ref": "rtcliffo/rf-maxfeatures-eq-3", "kernel_id": "53461"}, {"ref": "sidv1993/cdiscount-image-recognition", "kernel_id": "348121"}, {"ref": "sidv1993/movie-recommendation", "kernel_id": "141684"}, {"ref": "sidv1993/titanic", "kernel_id": "141691"}, {"ref": "gwenole/notebook-176d0a52d9fbe66c4864", "kernel_id": "41240"}, {"ref": "gwenole/notebook-b6bfc418ee55b8efce3f", "kernel_id": "41241"}, {"ref": "tanmaydisoriya/just-trying-out-keras-framework", "kernel_id": "384342"}, {"ref": "architagrawal/trial", "kernel_id": "41517"}, {"ref": "arthurlu/exploratory-tutorial-titanic", "kernel_id": "103613"}, {"ref": "walteramorim/notebook656a002d47", "kernel_id": "104400"}, {"ref": "ka84668w/an-interactive-data-science-tutorial", "kernel_id": "228053"}, {"ref": "ka84668w/introduction-to-ensembling-stacking-in-python", "kernel_id": "228057"}, {"ref": "chrisdick14/notebook-2e4eed3ca9492ac4d3a0", "kernel_id": "59438"}, {"ref": "pganesha/notebookbe733165e3", "kernel_id": "173708"}, {"ref": "pganesha/titanic-practice", "kernel_id": "175378"}, {"ref": "pganesha/notebooka900e7609f", "kernel_id": "175195"}, {"ref": "liao10080034/introduction-to-ensembling-stacking-in-python", "kernel_id": "196163"}, {"ref": "kumarsh8483/basic-model-using-pandas-and-sklearn", "kernel_id": "99977"}, {"ref": "pmanwani/notebookd04be75a27", "kernel_id": "96181"}, {"ref": "lytrongtrung/notebook-e83dfa8a997dba7e96b8", "kernel_id": "60016"}, {"ref": "aselda/could-the-titanic-have-been-saved", "kernel_id": "151233"}, {"ref": "aselda/could-the-titanic-have-been-saved-7efc763e", "kernel_id": "151238"}, {"ref": "keitabr/notebook-4e5a4605d18bd7853a79", "kernel_id": "45773"}, {"ref": "keitabr/notebook6b168c7033", "kernel_id": "240982"}, {"ref": "zhangyuanxun/notebook5821285cf9", "kernel_id": "220047"}, {"ref": "jinsol/titanic-1", "kernel_id": "78806"}, {"ref": "rise3812/titanic-randomforest", "kernel_id": "42772"}, {"ref": "rise3812/titanic-2-decision-tree", "kernel_id": "42710"}, {"ref": "rise3812/notebook-e2d5dc33512c7e258625", "kernel_id": "42741"}, {"ref": "rise3812/titanic-decision-tree-2", "kernel_id": "42734"}, {"ref": "rise3812/my-first-kaggle-notebook", "kernel_id": "41529"}, {"ref": "fabianmm04/titanic", "kernel_id": "128002"}, {"ref": "wh1sper/dubl4", "kernel_id": "48619"}, {"ref": "wh1sper/rver1", "kernel_id": "72935"}, {"ref": "wh1sper/rfver2", "kernel_id": "72936"}, {"ref": "hungtraan/notebook-18b7c824261430371554", "kernel_id": "72968"}, {"ref": "hadend/tuning-random-forest-parameters", "kernel_id": "86851"}, {"ref": "hadend/notebookcbf9cde68d", "kernel_id": "86559"}, {"ref": "hadend/notebook-3a5a1941ad2975adb21a", "kernel_id": "84976"}, {"ref": "hadend/notebook-ad33be8decbedccddd95", "kernel_id": "84977"}, {"ref": "hadend/notebook-00d439e4451f891135ff", "kernel_id": "84978"}, {"ref": "hadend/notebook-25a8662a1cebc1ee62b9", "kernel_id": "84519"}, {"ref": "hadend/notebook-b7c21bd5baf5294c30a4", "kernel_id": "84520"}, {"ref": "hadend/notebook-1c5df39fd1fc14b4a167", "kernel_id": "84521"}, {"ref": "hszhoushen/ttnkh", "kernel_id": "178963"}, {"ref": "mkoson/random-forest-titanic-model-r", "kernel_id": "42863"}, {"ref": "cczaixian/notebook-2a9be643a945551bd6b8", "kernel_id": "58726"}, {"ref": "youzi2016/a-journey-through-titanic", "kernel_id": "123525"}, {"ref": "theexodiuss/titanic", "kernel_id": "65917"}, {"ref": "tompago/a-journey-through-titanic-288cefac", "kernel_id": "124860"}, {"ref": "tompago/notebook946e9610c0", "kernel_id": "124355"}, {"ref": "brianle/notebook1bc13d68a6", "kernel_id": "224584"}, {"ref": "val111/a-journey-through-titanic", "kernel_id": "109321"}, {"ref": "gioroulden/notebook444755c43e", "kernel_id": "253831"}, {"ref": "luokai/a-journey-through-titanic-60fea761", "kernel_id": "89558"}, {"ref": "luokai/a-journey-through-titanic", "kernel_id": "88939"}, {"ref": "luokai/a-journey-through-titanic-40a9c7d6", "kernel_id": "89005"}, {"ref": "luokai/a-journey-through-titanic-0592a5a8", "kernel_id": "89007"}, {"ref": "luokai/a-journey-through-titanic-e6926cb2", "kernel_id": "89008"}, {"ref": "tjudayan/notebook-bd20464daee31cc7925c", "kernel_id": "43068"}, {"ref": "konyrevdmitriy/notebook5828adde71", "kernel_id": "92746"}, {"ref": "letfly/notebook-993327c62df02aebedb8", "kernel_id": "56399"}, {"ref": "letfly/notebook-bceebb3158bc59d34419", "kernel_id": "56418"}, {"ref": "letfly/notebook-b4ef3881d8fc16c7f3d3", "kernel_id": "56366"}, {"ref": "letfly/notebook-3f698bba9c3157fb3978", "kernel_id": "56367"}, {"ref": "letfly/notebook-80073c7f87fc0b0f2ba5", "kernel_id": "56368"}, {"ref": "letfly/notebook-38e3cf53e7ff08fa5b52", "kernel_id": "56369"}, {"ref": "letfly/notebook-fbc657d4f8bac735f210", "kernel_id": "56373"}, {"ref": "letfly/preliminary-exploration", "kernel_id": "56356"}, {"ref": "letfly/notebook-5db038fae4f57f891c96", "kernel_id": "56359"}, {"ref": "letfly/notebook-41dcb7ad54ca5a2dfac8", "kernel_id": "56361"}, {"ref": "letfly/notebook-aecdb10b531a1f4c85fc", "kernel_id": "56362"}, {"ref": "sunfoot/notebook8895598cfc", "kernel_id": "227037"}, {"ref": "sunfoot/notebookb84fba8c34", "kernel_id": "221949"}, {"ref": "sunfoot/test1", "kernel_id": "221952"}, {"ref": "prashanttz/fork-of-a-journey-through-titanic", "kernel_id": "150937"}, {"ref": "prashanttz/a-journey-through-titanic", "kernel_id": "150095"}, {"ref": "sruthiravula/titanic-sampletest", "kernel_id": "50307"}, {"ref": "watsonc/random-forest-titanic", "kernel_id": "45813"}, {"ref": "watsonc/notebook-e258763ea0c7ba73a123", "kernel_id": "45811"}, {"ref": "watsonc/titanic-fare-sex-and-class", "kernel_id": "94772"}, {"ref": "watsonc/titanic-random-forest", "kernel_id": "94296"}, {"ref": "ryankenning/a-journey-through-titanic", "kernel_id": "97124"}, {"ref": "ghostbuster/example", "kernel_id": "60152"}, {"ref": "ghostbuster/notebook-7f9d1ed69457da0f4639", "kernel_id": "61149"}, {"ref": "aozaki/notebook-68c2416c4cb515c161d4", "kernel_id": "45728"}, {"ref": "aozaki/a-journey-through-titanic", "kernel_id": "160318"}, {"ref": "sn7ghost/a-journey-through-titanic-forked-notebook", "kernel_id": "154344"}, {"ref": "sn7ghost/titanic-random-forest-and-logistic-regression", "kernel_id": "150819"}, {"ref": "itwalker1618/testa", "kernel_id": "43648"}, {"ref": "itwalker1618/notebook-c65ad778399d96ee523b", "kernel_id": "43610"}, {"ref": "itwalker1618/firsttry", "kernel_id": "43611"}, {"ref": "syguang/notebook-2b3abb61fc278fdc3dec", "kernel_id": "43857"}, {"ref": "syguang/notebook-262931c8901b7b19a927", "kernel_id": "82766"}, {"ref": "shrutibilgundi/notebookee4599fdd8", "kernel_id": "141745"}, {"ref": "im2608/notebook3d92997be0", "kernel_id": "129002"}, {"ref": "ishita0301/notebook-4831cc4ef2e2dfd2825f", "kernel_id": "43387"}, {"ref": "ccourtot/titanic-random-forest", "kernel_id": "63241"}, {"ref": "ccourtot/titanic-with-regressed-nan-age", "kernel_id": "63809"}, {"ref": "ccourtot/titanic-v3", "kernel_id": "63812"}, {"ref": "ccourtot/titanic-gbc-feature-selection", "kernel_id": "63817"}, {"ref": "ccourtot/notebook-a40014320220b7ee6063", "kernel_id": "58743"}, {"ref": "ccourtot/cleaning-data-sample", "kernel_id": "58728"}, {"ref": "ccourtot/titanic-voting-classifier", "kernel_id": "58707"}, {"ref": "ccourtot/notebook-db27c8c7fa17e5cc62f6", "kernel_id": "58708"}, {"ref": "ccourtot/titanic-first-approach", "kernel_id": "58704"}, {"ref": "arpitade/titanic-competition", "kernel_id": "45060"}, {"ref": "iramusa/notebook6b54359e5a", "kernel_id": "86212"}, {"ref": "iramusa/a-journey-through-titanic", "kernel_id": "86214"}, {"ref": "iramusa/study-of-tree-and-forest-algorithms", "kernel_id": "86217"}, {"ref": "estefaniaperalta26/notebook-c1d016e394e05df3eafc", "kernel_id": "43493"}, {"ref": "staldelu/notebook-6ef83df2ceb637856e61", "kernel_id": "46136"}, {"ref": "mharkus/notebook93aa55f4bb", "kernel_id": "223878"}, {"ref": "prcobol/a-journey-through-titanic", "kernel_id": "112233"}, {"ref": "ransheng/notebook-3011de98563db487a0f3", "kernel_id": "43604"}, {"ref": "ransheng/notebook-fcb44df674c15f781211", "kernel_id": "43605"}, {"ref": "ransheng/notebook-6104a7f6f036f00105d3", "kernel_id": "43602"}, {"ref": "openarrow/scripttitanic", "kernel_id": "61623"}, {"ref": "btvaroska/titanic-1", "kernel_id": "49555"}, {"ref": "ckboss/mytest", "kernel_id": "98760"}, {"ref": "suribes/notebook4ef1978800", "kernel_id": "153434"}, {"ref": "suribes/titanic-survive-analysis", "kernel_id": "153442"}, {"ref": "laurao/titanic-survival-with-several-classifiers", "kernel_id": "217370"}, {"ref": "herber523/test-kaggle", "kernel_id": "209515"}, {"ref": "kprabhat/notebook-84c1c02afea9b15ac76f", "kernel_id": "45309"}, {"ref": "aishniparab/notebook-1c30070b7560f06387db", "kernel_id": "44060"}, {"ref": "daferlopez/newscript", "kernel_id": "226775"}, {"ref": "walleiv/a-journey-through-titanic", "kernel_id": "152150"}, {"ref": "touzimarwen/testt", "kernel_id": "44915"}, {"ref": "touzimarwen/notebook-96ea7349e7b5c02bc506", "kernel_id": "57862"}, {"ref": "touzimarwen/notebook-cf4b2acfb22a2708bbb0", "kernel_id": "57860"}, {"ref": "vkarani/titanic-1", "kernel_id": "43805"}, {"ref": "breakpoint123/introduction-to-ensembling-stacking-in-pyth-07f7d8", "kernel_id": "196621"}, {"ref": "breakpoint123/notebook1ad522ee6b", "kernel_id": "196546"}, {"ref": "breakpoint123/notebookfdd389bc7d", "kernel_id": "195736"}, {"ref": "breakpoint123/introduction-to-ensembling-stacking-in-python", "kernel_id": "195758"}, {"ref": "ebnavarro/primary-model-with-random-forest", "kernel_id": "92361"}, {"ref": "ebnavarro/descriptive-analysis-rmd", "kernel_id": "73313"}, {"ref": "ebnavarro/notebook-5f7a6a61a58dd0d7c6eb", "kernel_id": "73305"}, {"ref": "ebnavarro/notebook-a07a77850f55f4ec7ff7", "kernel_id": "73308"}, {"ref": "ebnavarro/notebook-3b57f3999ee2300755b1", "kernel_id": "73310"}, {"ref": "jteruya/notebook34c01d9253", "kernel_id": "158908"}, {"ref": "jteruya/notebook3ba14c50c6", "kernel_id": "158910"}, {"ref": "boadata/titanic", "kernel_id": "45337"}, {"ref": "ots988/titanic", "kernel_id": "120466"}, {"ref": "vladshikhov/first-test", "kernel_id": "56637"}, {"ref": "wusy1209/study-of-tree-and-forest-algorithms", "kernel_id": "66694"}, {"ref": "rishisd/notebookb5e7eeee8a", "kernel_id": "130537"}, {"ref": "mryapss/notebook-e005ddcf104f90a28c5c", "kernel_id": "56451"}, {"ref": "mryapss/random-forest-benchmark-r", "kernel_id": "56443"}, {"ref": "mryapss/first-rf-r-script", "kernel_id": "56447"}, {"ref": "mryapss/random-forest-r-fare-age", "kernel_id": "56714"}, {"ref": "mryapss/randomforest-method-v1-0", "kernel_id": "56718"}, {"ref": "janewangzhenzhen/a-journey-through-titanic", "kernel_id": "119717"}, {"ref": "kjwook/notebook-33feb76bd61ff01088c9", "kernel_id": "49050"}, {"ref": "sergekrstic/titantic-learning-from-disaster", "kernel_id": "280245"}, {"ref": "garvey/notebookbf931fd50e", "kernel_id": "164049"}, {"ref": "rwongone/notebook-aa4ef6f1fffd4def6aac", "kernel_id": "84457"}, {"ref": "rwongone/notebook-014d90e4d84d210fbe5c", "kernel_id": "84458"}, {"ref": "alcret/a-journey-through-titanic", "kernel_id": "176442"}, {"ref": "wvds89/notebookd40cdc7f20", "kernel_id": "263618"}, {"ref": "wvds89/test-wvds89", "kernel_id": "263626"}, {"ref": "elecjack/kaggle-titanic-001", "kernel_id": "45543"}, {"ref": "dmaringanti/notebookfd5486a743", "kernel_id": "94075"}, {"ref": "roy104/notebook46e09a6f36", "kernel_id": "235627"}, {"ref": "greatredone/titanic-survival-simple-logistic-regression", "kernel_id": "363814"}, {"ref": "adamski/titanic-prediction", "kernel_id": "230178"}, {"ref": "gkreplak/a-journey-through-titanic", "kernel_id": "91007"}, {"ref": "gkreplak/a-journey-through-titanic-be8f722a", "kernel_id": "91341"}, {"ref": "jakesherman/titanic-submission", "kernel_id": "71020"}, {"ref": "mangeption/notebook55c82cc1d9", "kernel_id": "92581"}, {"ref": "lisastuart/exploring-survival-on-the-titanic", "kernel_id": "181586"}, {"ref": "lisastuart/titanic-python-decision-trees", "kernel_id": "514248"}, {"ref": "mkdika/a-journey-through-titanic", "kernel_id": "146509"}, {"ref": "randomprime/titanic-python", "kernel_id": "44336"}, {"ref": "michalkalinowski/my-heart-will-go-on-2", "kernel_id": "270517"}, {"ref": "muhammadusman/exploring-survival-on-the-titanic", "kernel_id": "101472"}, {"ref": "martijnde/notebook-2d8393b134c9c5a4e50c", "kernel_id": "65076"}, {"ref": "martijnde/notebook-07cd932227efba34e73f", "kernel_id": "64223"}, {"ref": "martijnde/notebook-1370cf87018e3ea79490", "kernel_id": "64418"}, {"ref": "martijnde/notebook-1f1b0aa91762d0692036", "kernel_id": "64741"}, {"ref": "martijnde/notebook-cdaf4192add58a943248", "kernel_id": "64799"}, {"ref": "martijnde/notebook-d1073e2e129bdb3867b7", "kernel_id": "64783"}, {"ref": "wyjss08/a-journey-through-titanic", "kernel_id": "86389"}, {"ref": "kemical/notebook-21b965c7548a55e0073a", "kernel_id": "45094"}, {"ref": "iamvoid13/a-journey-through-titanic", "kernel_id": "150502"}, {"ref": "srishtigautam/a-journey-through-titanic", "kernel_id": "171038"}, {"ref": "marklazz/a-journey-through-titanic", "kernel_id": "194515"}, {"ref": "ziyangcong4/notebook-2917de73a266ab17b52c", "kernel_id": "48245"}, {"ref": "mb3647/first-test", "kernel_id": "44536"}, {"ref": "bshyamm/notebooke756ce8409", "kernel_id": "116213"}, {"ref": "marieth/mt-kaggle-1", "kernel_id": "96043"}, {"ref": "hiagopd/notebook-c2b40e6b4534de181fa8", "kernel_id": "46348"}, {"ref": "marcoalmada/notebook-325747fb88f4035a0edd", "kernel_id": "59733"}, {"ref": "marcoalmada/notebook-20d5482f222fa09148ca", "kernel_id": "59735"}, {"ref": "shilotb/r-script", "kernel_id": "109765"}, {"ref": "wmrussell/notebook-c2c2f7f92392fb1eca47", "kernel_id": "44698"}, {"ref": "wenxin/notebook0f736941ff", "kernel_id": "85733"}, {"ref": "wenxin/trial", "kernel_id": "85734"}, {"ref": "sunnypig/notebook2d75788e16", "kernel_id": "115859"}, {"ref": "rhavens/titanic", "kernel_id": "202579"}, {"ref": "manjunath10/titanic-script", "kernel_id": "218079"}, {"ref": "manjunath10/notebook44eb249763", "kernel_id": "218077"}, {"ref": "smalltalk/a-journey-through-titanic-copycat", "kernel_id": "378462"}, {"ref": "keweishang/mytitanic", "kernel_id": "79821"}, {"ref": "keweishang/notebook-c8ba2c2827821566c71d", "kernel_id": "79823"}, {"ref": "keweishang/titanic", "kernel_id": "79824"}, {"ref": "keweishang/notebook-c223d717833b5d38fad2", "kernel_id": "79825"}, {"ref": "keweishang/notebook-369d85f9fa1630864972", "kernel_id": "79818"}, {"ref": "keweishang/first-competition-titanic", "kernel_id": "79819"}, {"ref": "keweishang/a-journey-through-titanic", "kernel_id": "79173"}, {"ref": "keweishang/my-titanic", "kernel_id": "79256"}, {"ref": "vaibhavinsf/notebook4a95b089d1", "kernel_id": "117092"}, {"ref": "lynnsha/script2-traindata-cleaned", "kernel_id": "151650"}, {"ref": "lynnsha/script1", "kernel_id": "148614"}, {"ref": "gini76/an-interactive-data-science-tutorial", "kernel_id": "204743"}, {"ref": "jeroldchen/data-analysis", "kernel_id": "164911"}, {"ref": "elpeepirate/exploring-survival-on-the-titanic", "kernel_id": "118189"}, {"ref": "alok170893/notebook7af2aee5d6", "kernel_id": "196704"}, {"ref": "mellon/notebook-7f741fcad1b2f4905e75", "kernel_id": "58526"}, {"ref": "fpirra/playing-with-the-titanic-dataset", "kernel_id": "348460"}, {"ref": "michaelxox/a-journey-through-titanic", "kernel_id": "90643"}, {"ref": "karus663/a-journey-through-titanic", "kernel_id": "47899"}, {"ref": "karus663/notebook-5ef3fec84a0b0a11a208", "kernel_id": "47900"}, {"ref": "karus663/notebook-49f6df1f9a1af3d19546", "kernel_id": "47901"}, {"ref": "karus663/notebook-7470a5811bd569102a0c", "kernel_id": "47902"}, {"ref": "karus663/testnotebook", "kernel_id": "47903"}, {"ref": "karus663/notebook-45501283e2fba21a6fd0", "kernel_id": "47915"}, {"ref": "juliaf/notebooke9f7074107", "kernel_id": "196764"}, {"ref": "juliaf/notebook59074a6a8e", "kernel_id": "198173"}, {"ref": "juliaf/notebook58913d7503", "kernel_id": "198151"}, {"ref": "lilixu/firsttest", "kernel_id": "95031"}, {"ref": "lilixu/fork-of-firsttest", "kernel_id": "95037"}, {"ref": "lilixu/notebook9370c4501d", "kernel_id": "95057"}, {"ref": "lilixu/notebook0125cd9858", "kernel_id": "95600"}, {"ref": "lilixu/random-forest", "kernel_id": "96321"}, {"ref": "tomaszw/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "232349"}, {"ref": "weidel/titanic", "kernel_id": "241026"}, {"ref": "ankurnepalia/notebook8388c232bf", "kernel_id": "88830"}, {"ref": "ankurnepalia/predictingtitanicsurvivors", "kernel_id": "88831"}, {"ref": "adityabhuwania/titanic-data-science-solutions", "kernel_id": "242515"}, {"ref": "kevogich/a-journey-through-titanic", "kernel_id": "93606"}, {"ref": "q1134644022/notebook-a8126270c83a6c8e31f3", "kernel_id": "55706"}, {"ref": "aks198/notebooka27adb6c2e", "kernel_id": "87601"}, {"ref": "hkzy2001/glm-titanic", "kernel_id": "56364"}, {"ref": "zhihuaover/trainover", "kernel_id": "100622"}, {"ref": "zhihuaover/notebookb70e46e929", "kernel_id": "100624"}, {"ref": "rahulagarwal/notebook4ef81a472e", "kernel_id": "185084"}, {"ref": "kkulka2/notebookfde5a13133", "kernel_id": "201731"}, {"ref": "jatinjansari/titanic-data-science-solutions-f6f1ff89", "kernel_id": "152680"}, {"ref": "jatinjansari/titanic-data-science-solutions", "kernel_id": "152639"}, {"ref": "jatinjansari/titanic-data-science-solutions-d1fdf890", "kernel_id": "152641"}, {"ref": "sakshamsamj22/titanic47", "kernel_id": "64244"}, {"ref": "sbischof/titanic", "kernel_id": "45388"}, {"ref": "mackmpn/getting-started-on-titanic", "kernel_id": "103147"}, {"ref": "ywis647/notebook-473640936a9c822d1b09", "kernel_id": "53926"}, {"ref": "ywis647/notebook-518df6a4336c983be945", "kernel_id": "54075"}, {"ref": "mikekutzma/notebook-a01b67f3aba24f7a1d3e", "kernel_id": "47937"}, {"ref": "mustufain/survived-prediction-using-xgboost-on-5-fold-cv", "kernel_id": "245104"}, {"ref": "rwikdutta/titanic-data-science-solutions-6b931b", "kernel_id": "222933"}, {"ref": "bugfix/notebook-121ef2f556dfd337ad93", "kernel_id": "45454"}, {"ref": "bugfix/notebook-13e4f8529c6113d98e8f", "kernel_id": "45450"}, {"ref": "bugfix/titanic", "kernel_id": "46398"}, {"ref": "bugfix/notebook-15170fc92449fc73c637", "kernel_id": "46414"}, {"ref": "bugfix/notebook-d39f8442c395fbf0a929", "kernel_id": "46448"}, {"ref": "bugfix/notebook-61f6eb5b402a8fe54493", "kernel_id": "46970"}, {"ref": "bugfix/notebook-334d42540b83c01ef1b6", "kernel_id": "49747"}, {"ref": "bugfix/notebook-3afdb76fb9bef187ce0c", "kernel_id": "58101"}, {"ref": "bugfix/notebook-dd5deb84ffe930a19c19", "kernel_id": "58926"}, {"ref": "bugfix/notebook-673bcf507dfcb004c534", "kernel_id": "58943"}, {"ref": "bugfix/notebook-804b456937ff57f64e37", "kernel_id": "58944"}, {"ref": "garrysuka/titanic", "kernel_id": "45647"}, {"ref": "mocogin/notebook137addf5b3", "kernel_id": "225491"}, {"ref": "cochung/a-journey-through-titanic", "kernel_id": "51434"}, {"ref": "song94/notebook-3c4659f43d257f26de0e", "kernel_id": "63334"}, {"ref": "song94/first", "kernel_id": "63335"}, {"ref": "nrajani/titanic-first-code", "kernel_id": "131136"}, {"ref": "nrajani/first", "kernel_id": "131133"}, {"ref": "ashishtripathy/a-data-science-primer", "kernel_id": "954105"}, {"ref": "zoegroes/notebook-1a123f1f927bd6081667", "kernel_id": "74317"}, {"ref": "coltonpaul/lost-in-a-forest-titanic", "kernel_id": "231913"}, {"ref": "klepacz/tensor-flow", "kernel_id": "106511"}, {"ref": "c4bo3l/notebook-efc62fdb2b1de97a4883", "kernel_id": "47191"}, {"ref": "rajathkumarmp/notebook-494e41ad68d1ecb5e840", "kernel_id": "45846"}, {"ref": "rajathkumarmp/notebook-76ffca6eecfa148a7286", "kernel_id": "46173"}, {"ref": "yaochloe/mytestscript", "kernel_id": "46584"}, {"ref": "djykim/notebookebdf5d2583", "kernel_id": "235917"}, {"ref": "djykim/start-with-titanic", "kernel_id": "235889"}, {"ref": "mohkar123/a-journey-through-titanic", "kernel_id": "160756"}, {"ref": "kirshnee/notebook-7fc8553d45ddbe04f5be", "kernel_id": "56386"}, {"ref": "leonghio/titanic-machine-learning-from-disaster", "kernel_id": "241961"}, {"ref": "leonghio/titanic-data-science-solutions", "kernel_id": "261852"}, {"ref": "xinyuli/a-journey-through-titanic", "kernel_id": "190822"}, {"ref": "denikekate/a-journey-through-titanic", "kernel_id": "90809"}, {"ref": "ritvikraj/titanicrits", "kernel_id": "281390"}, {"ref": "amcarpintero/test1", "kernel_id": "53585"}, {"ref": "mxyqiu/llm-starter", "kernel_id": "65838"}, {"ref": "oeermanz/a-journey-through-titanic-bd3d5b70", "kernel_id": "108097"}, {"ref": "zabaxer/first-try-python", "kernel_id": "100499"}, {"ref": "calvingerus/a-journey-through-titanic", "kernel_id": "110451"}, {"ref": "clementwan/notebook-9e45e3da2c00b713df65", "kernel_id": "81981"}, {"ref": "tomo0321/notebook15956ce85a", "kernel_id": "184262"}, {"ref": "dnfinal/titanic-data-science-solutions", "kernel_id": "209462"}, {"ref": "alllexey/first-try", "kernel_id": "47987"}, {"ref": "venkysmily/notebook-c86fdee3a85e980ce7d4", "kernel_id": "60271"}, {"ref": "ashwinmoorthy/titanic", "kernel_id": "50309"}, {"ref": "ashwinmoorthy/team3", "kernel_id": "52813"}, {"ref": "ashwinmoorthy/testest", "kernel_id": "52810"}, {"ref": "ashwinmoorthy/ayayay", "kernel_id": "52483"}, {"ref": "ashwinmoorthy/naive-bayes", "kernel_id": "52486"}, {"ref": "ashwinmoorthy/teamm", "kernel_id": "51456"}, {"ref": "ashwinmoorthy/practice", "kernel_id": "51450"}, {"ref": "ashwinmoorthy/team-3", "kernel_id": "56720"}, {"ref": "ericnana/fork-of-trying-to-kaggle-titanic-from-newbie", "kernel_id": "97940"}, {"ref": "ericnana/trying-to-kaggle-titanic-from-newbie", "kernel_id": "97928"}, {"ref": "ericnana/fork-of-newbie-trying-to-save-the-titanic", "kernel_id": "95775"}, {"ref": "ericnana/fork-of-save-the-titanic", "kernel_id": "95269"}, {"ref": "ericnana/newbie-trying-to-save-the-titanic", "kernel_id": "94797"}, {"ref": "ericnana/notebook5028455f3c", "kernel_id": "94222"}, {"ref": "ericnana/titanic-survival", "kernel_id": "94159"}, {"ref": "zeonsunlight/notebook-da8966a61628e35605ee", "kernel_id": "74257"}, {"ref": "jccochran3/random-forest-titanic-by-c-cochran", "kernel_id": "149106"}, {"ref": "oniononion/randomforest-approch-with-caret-package", "kernel_id": "224695"}, {"ref": "andychen/notebook0c5f13ad4e", "kernel_id": "226884"}, {"ref": "andychen/notebookc813d1c803", "kernel_id": "261518"}, {"ref": "guoxun/notebook-c5a1504813b718488c7f", "kernel_id": "67220"}, {"ref": "guoxun/notebook-9639c823661e2f24d647", "kernel_id": "67221"}, {"ref": "guoxun/first", "kernel_id": "67223"}, {"ref": "guoxun/study-of-tree-and-forest-algorithms", "kernel_id": "67212"}, {"ref": "cuteboy07/notebookf0bf564cbe", "kernel_id": "260000"}, {"ref": "karengreen/decision-tree-visualization-submission", "kernel_id": "176955"}, {"ref": "wavegu/titanic-best-working-classifier", "kernel_id": "147317"}, {"ref": "mohmmadhossein/random-forest-benchmark-r", "kernel_id": "74561"}, {"ref": "xzvtt0611/exploring-survival-on-the-titanic", "kernel_id": "91336"}, {"ref": "xzvtt0611/a-journey-through-titanic", "kernel_id": "91788"}, {"ref": "llwc1993/mytitanic", "kernel_id": "50225"}, {"ref": "llwc1993/notebook-2d40b298a1fa1b59e077", "kernel_id": "50254"}, {"ref": "llwc1993/tatanic-prediction", "kernel_id": "48694"}, {"ref": "arronsa/a-journey-through-titanic", "kernel_id": "163632"}, {"ref": "zhangyuanlong/notebook8d38b5dc5d", "kernel_id": "274692"}, {"ref": "adriaanslechten/introduction-to-ensembling-stacking-in-python", "kernel_id": "185257"}, {"ref": "adriaanslechten/notebooke5c936bb29", "kernel_id": "185259"}, {"ref": "rkamalf/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "156925"}, {"ref": "adistars/a-journey-through-titanic", "kernel_id": "90276"}, {"ref": "adistars/a-journey-through-titanic-8788a900", "kernel_id": "90286"}, {"ref": "adistars/practice", "kernel_id": "90278"}, {"ref": "juaychen2016/notebook7235dc75f5", "kernel_id": "205153"}, {"ref": "juaychen2016/notebookd89117a28a", "kernel_id": "194819"}, {"ref": "helixx/a-journey-through-titanic", "kernel_id": "117210"}, {"ref": "ankitdatascience/visualization-of-data-in-r", "kernel_id": "151765"}, {"ref": "lyrlyr/notebook02c712b195", "kernel_id": "268202"}, {"ref": "triksh/testing-titanic", "kernel_id": "62804"}, {"ref": "triksh/notebook-f111ab58d5d540a54395", "kernel_id": "62805"}, {"ref": "vbachhav/a-journey-through-titanic", "kernel_id": "120834"}, {"ref": "jihyeseo/titanic-classifier-1st-attempt", "kernel_id": "465099"}, {"ref": "mitchseeman/notebook15266f8869", "kernel_id": "204742"}, {"ref": "byroncheng/a-journey-through-titanic-7de279a5", "kernel_id": "121678"}, {"ref": "byroncheng/a-journey-through-titanic-4c323e5e", "kernel_id": "122056"}, {"ref": "badoun/end-to-end-ml-pipeline", "kernel_id": "160124"}, {"ref": "direcision/tatanic", "kernel_id": "268173"}, {"ref": "anshumahi/fork-of-notebookf42c37d111-8d4a0ddc", "kernel_id": "163625"}, {"ref": "anshumahi/notebook472b87e62e", "kernel_id": "163539"}, {"ref": "anshumahi/fork-of-notebookf42c37d111", "kernel_id": "163554"}, {"ref": "anshumahi/titanic-ship", "kernel_id": "163543"}, {"ref": "anshumahi/notebooke911ba42cd", "kernel_id": "163534"}, {"ref": "anshumahi/notebookf42c37d111", "kernel_id": "163535"}, {"ref": "cstahl12/titanic-with-keras", "kernel_id": "185648"}, {"ref": "qidanei/notebook-4cff0680e229f822eb72", "kernel_id": "50173"}, {"ref": "giridhark/xgboost", "kernel_id": "137466"}, {"ref": "jianhangwen/decisiontree", "kernel_id": "47116"}, {"ref": "rtochtermann/titanic-disaster-dataset-practice-notebook", "kernel_id": "229083"}, {"ref": "rtochtermann/titanic-data-exploration-with-r", "kernel_id": "234617"}, {"ref": "armadillabs/firstscript", "kernel_id": "46925"}, {"ref": "guangminshen/test-try", "kernel_id": "49140"}, {"ref": "iamthemzi/iamthemzi", "kernel_id": "103377"}, {"ref": "haoyangrice/notebook40300b05db", "kernel_id": "97491"}, {"ref": "haoyangrice/notebook56f017e68e", "kernel_id": "97549"}, {"ref": "haoyangrice/notebook6e0a189af7", "kernel_id": "98642"}, {"ref": "haoyangrice/surviving-titanic", "kernel_id": "98626"}, {"ref": "alexpl292/notebook-d0b372ebf493bf43aa4e", "kernel_id": "47701"}, {"ref": "alexpl292/notebook-8fc7c6ea46a942d1356a", "kernel_id": "47702"}, {"ref": "pedrocwb/notebook6f935611e5", "kernel_id": "140621"}, {"ref": "antoniofelipe/teste-1", "kernel_id": "47036"}, {"ref": "dautovri/notebook-f8b4644c34b5d99ee491", "kernel_id": "74783"}, {"ref": "wzwrwjbsy/titanic-ml", "kernel_id": "51841"}, {"ref": "huhuzju/test-py", "kernel_id": "102591"}, {"ref": "huhuzju/notebook04f4df0fd2", "kernel_id": "102592"}, {"ref": "omniscientist/titanic-1", "kernel_id": "204393"}, {"ref": "seiseman/1st-script", "kernel_id": "59271"}, {"ref": "jodiealaine/titanic-survival-predictor", "kernel_id": "216924"}, {"ref": "grichardson/notebook4827f2f295", "kernel_id": "107746"}, {"ref": "semenovykh/fork-of-a-journey-through-titanic", "kernel_id": "133516"}, {"ref": "semenovykh/a-journey-through-titanic", "kernel_id": "87893"}, {"ref": "semenovykh/a-journey-through-titanic-85809fcf", "kernel_id": "87899"}, {"ref": "marjinal1st/notebook6792b37888", "kernel_id": "247732"}, {"ref": "surajrusc/titanic", "kernel_id": "241816"}, {"ref": "fanchcollin/aaaaaa", "kernel_id": "47328"}, {"ref": "vganga/decision-tree-visualization-submission1", "kernel_id": "159571"}, {"ref": "ronnnwu/notebook4cb4b4f157", "kernel_id": "134604"}, {"ref": "jollyhrothgar/notebook6d3509ce03", "kernel_id": "240255"}, {"ref": "bishiq/1st-test", "kernel_id": "81703"}, {"ref": "bishiq/firstr", "kernel_id": "89699"}, {"ref": "xxxw567/nemotitanic", "kernel_id": "92370"}, {"ref": "yohnishi/a-journey-through-titanic", "kernel_id": "86406"}, {"ref": "leozhuo/learning-xgboost", "kernel_id": "204031"}, {"ref": "pnguyen11/notebook3b4040c42b", "kernel_id": "139909"}, {"ref": "nghyun/firsttrt", "kernel_id": "75623"}, {"ref": "nghyun/notebook-2dd71ec219b31135a455", "kernel_id": "75624"}, {"ref": "nghyun/notebook-9904388bbfd8b145f71c", "kernel_id": "75630"}, {"ref": "nghyun/notebook-14ea69f5483fc80cce70", "kernel_id": "75633"}, {"ref": "nghyun/eda-on-titanic", "kernel_id": "76259"}, {"ref": "nghyun/an-interactive-data-science-tutorial-a231b7", "kernel_id": "211014"}, {"ref": "doroth/notebookb191115293", "kernel_id": "234163"}, {"ref": "doroth/notebook24e37bc262", "kernel_id": "233780"}, {"ref": "doroth/notebook2d0e9c39fc", "kernel_id": "228762"}, {"ref": "doroth/notebook61d683d6a6", "kernel_id": "222388"}, {"ref": "katyar/notebook7931858a15", "kernel_id": "270577"}, {"ref": "contactsheetal/notebook0efbb7422e", "kernel_id": "137503"}, {"ref": "contactsheetal/exploring-survival-on-the-titanic", "kernel_id": "137525"}, {"ref": "contactsheetal/notebook9bcd6591c5", "kernel_id": "137532"}, {"ref": "contactsheetal/experiment", "kernel_id": "138079"}, {"ref": "aoxmxoa/titanic", "kernel_id": "47378"}, {"ref": "edwvil/titanic-data-science-solutions", "kernel_id": "266446"}, {"ref": "csufsrivatsav/titanana", "kernel_id": "58482"}, {"ref": "csufsrivatsav/titanic-surviour", "kernel_id": "58485"}, {"ref": "csufsrivatsav/titanic", "kernel_id": "58471"}, {"ref": "csufsrivatsav/tititi", "kernel_id": "58473"}, {"ref": "csufsrivatsav/srivatsav-titanic", "kernel_id": "58496"}, {"ref": "csufsrivatsav/titan", "kernel_id": "58503"}, {"ref": "csufsrivatsav/titanicsc", "kernel_id": "58557"}, {"ref": "csufsrivatsav/sunny", "kernel_id": "58573"}, {"ref": "csufsrivatsav/sunny-titanic", "kernel_id": "58574"}, {"ref": "csufsrivatsav/titititi", "kernel_id": "58578"}, {"ref": "csufsrivatsav/titan-sad", "kernel_id": "58579"}, {"ref": "csufsrivatsav/analysistitanic", "kernel_id": "64009"}, {"ref": "csufsrivatsav/titatnic0526", "kernel_id": "64103"}, {"ref": "isaevpd/my-first-submission", "kernel_id": "90430"}, {"ref": "pukhlyakova/using-catboost", "kernel_id": "315278"}, {"ref": "mehulmshah/titanicscript", "kernel_id": "47768"}, {"ref": "zhanglei/testxgboost", "kernel_id": "47557"}, {"ref": "behzadip/notebook63c7f54247", "kernel_id": "102298"}, {"ref": "lmingzhi/a-journey-through-titanic", "kernel_id": "104696"}, {"ref": "lmingzhi/a-journey-through-titanic-8222f82e", "kernel_id": "183226"}, {"ref": "actank/a-journey-through-titanic", "kernel_id": "91297"}, {"ref": "actank/actank-1st", "kernel_id": "88503"}, {"ref": "mcantarutti/notebook13f8c98708", "kernel_id": "270777"}, {"ref": "miroag/notebook-c81c4d99992329230946", "kernel_id": "51837"}, {"ref": "miroag/a-journey-through-titanic", "kernel_id": "50765"}, {"ref": "julienlegras/test-2", "kernel_id": "49249"}, {"ref": "sherifalaa/notebook31b392a125", "kernel_id": "106980"}, {"ref": "einsqiang/reference1", "kernel_id": "55014"}, {"ref": "einsqiang/notebook-2384a75625f0543f770c", "kernel_id": "55015"}, {"ref": "xinliu2/an-interactive-data-science-tutorial", "kernel_id": "196029"}, {"ref": "shmdatas/notebook-f437e3270785ce5226f3", "kernel_id": "49360"}, {"ref": "shmdatas/notebook-aee0ecdb359e542140f8", "kernel_id": "49365"}, {"ref": "rawdatum/titanic-random-forest-82-78", "kernel_id": "187967"}, {"ref": "rchereji/notebook4d7b4e16af", "kernel_id": "195108"}, {"ref": "serenachan/notebook19ac6831dc", "kernel_id": "160390"}, {"ref": "catalinadelacuesta/a-journey-through-titanic", "kernel_id": "48108"}, {"ref": "rohit1996/titanic-1", "kernel_id": "152267"}, {"ref": "rohit1996/random-forest-benchmark-r", "kernel_id": "152655"}, {"ref": "dmanojbabu/notebook-676a13c7a4436fd8a5db", "kernel_id": "73920"}, {"ref": "chaos33/notebookf5c725938c", "kernel_id": "97060"}, {"ref": "fzxneil/a-journey-through-titanic", "kernel_id": "47790"}, {"ref": "yunxileo/random-forest-benchmark-r", "kernel_id": "65439"}, {"ref": "yunxileo/notebook-6b0dd6a276bbf9f207fe", "kernel_id": "65440"}, {"ref": "gokulvanan/notebook-200c9af6be3708bdb1e5", "kernel_id": "47965"}, {"ref": "kensai/titanic-python", "kernel_id": "49090"}, {"ref": "ca2016nadudvarivirag/notebook5b301cd4b7", "kernel_id": "222208"}, {"ref": "thinktheta/abctitanic1", "kernel_id": "106582"}, {"ref": "thinktheta/abhinavtitanic1", "kernel_id": "106578"}, {"ref": "nickster/notebook-3339d00707c9be23b3fa", "kernel_id": "47895"}, {"ref": "sonamkoul2/multiple-linear-regression", "kernel_id": "88737"}, {"ref": "sonamkoul2/fork-of-getting-familier-with-kaggle-environment", "kernel_id": "88797"}, {"ref": "sonamkoul2/fork-of-notebook3217eb1290", "kernel_id": "91366"}, {"ref": "sonamkoul2/a-journey-through-titanic", "kernel_id": "88132"}, {"ref": "sebastial/notebook-aafaa993418a17e0437c", "kernel_id": "47927"}, {"ref": "frankzyx/titanic", "kernel_id": "151424"}, {"ref": "jonasyang/tatitanic", "kernel_id": "242021"}, {"ref": "vkaplarevic/notebookc26e423d6f", "kernel_id": "276595"}, {"ref": "richbrosius/demo-py", "kernel_id": "96126"}, {"ref": "richbrosius/notebookedc455e8e4", "kernel_id": "96724"}, {"ref": "richbrosius/notebookcfe8ff0b3a", "kernel_id": "96685"}, {"ref": "feech0/titani", "kernel_id": "61289"}, {"ref": "ohlindoh/notebookb5e1e523cb", "kernel_id": "242612"}, {"ref": "songlei198974/titanic-data-science-solutions", "kernel_id": "195483"}, {"ref": "songlei198974/notebook9a70e4e20d", "kernel_id": "202017"}, {"ref": "kimono/a-journey-through-titanic", "kernel_id": "92234"}, {"ref": "kimono/a-journey-through-titanic-8231aff7", "kernel_id": "92243"}, {"ref": "akash211/exploring-survival-on-the-titanic", "kernel_id": "284852"}, {"ref": "fcinter/hello-world", "kernel_id": "52744"}, {"ref": "zhengbuqian/a-journey-through-titanic", "kernel_id": "90738"}, {"ref": "ninjavsdev/notebooke94aff26f7", "kernel_id": "215183"}, {"ref": "ninjavsdev/my-tatanic-kernel-using-svc-sklearn", "kernel_id": "459713"}, {"ref": "emredjan/notebook-f66c314d700edaca7ea2", "kernel_id": "56127"}, {"ref": "emredjan/tutorial-script", "kernel_id": "56125"}, {"ref": "burriswj/notebook-eb509e854e43afbc6de8", "kernel_id": "48306"}, {"ref": "burriswj/otbscript", "kernel_id": "52087"}, {"ref": "burriswj/installed-python-packages-for-dsi", "kernel_id": "52174"}, {"ref": "burriswj/playwithscripts", "kernel_id": "52144"}, {"ref": "burriswj/forked-pandas-example", "kernel_id": "52192"}, {"ref": "lumper/notebook-527750c4a598593ffc68", "kernel_id": "48318"}, {"ref": "lumper/notebook-549fc9ec3e1b74c1aafd", "kernel_id": "48323"}, {"ref": "candicezeng/titanic-random-forest-82-78", "kernel_id": "191880"}, {"ref": "candicezeng/titanic-random-forest-82-78-e6c9af", "kernel_id": "193878"}, {"ref": "candicezeng/titanic-data-analysis-and-machine-learning", "kernel_id": "170439"}, {"ref": "simoncjs/a-journey-through-titanic", "kernel_id": "127238"}, {"ref": "dmg123/a-journey-through-titanic", "kernel_id": "186466"}, {"ref": "arthursun/notebookefb857b497", "kernel_id": "99637"}, {"ref": "arthursun/a-journey-through-titanic", "kernel_id": "149235"}, {"ref": "niyati90/a-journey-through-titanic", "kernel_id": "48491"}, {"ref": "puzhao961121/notebook-65991f5b902cf766d6db", "kernel_id": "63049"}, {"ref": "abhishekshetty/notebook-adbd4d4c6f4925a5ca41", "kernel_id": "71575"}, {"ref": "kinetik/contest-of-algorithms", "kernel_id": "166355"}, {"ref": "kinetik/a-journey-through-titanic", "kernel_id": "168904"}, {"ref": "kinetik/titanic-random-forest-82-78", "kernel_id": "176496"}, {"ref": "abner0908/a-journey-through-titanic", "kernel_id": "189728"}, {"ref": "abner0908/a-journey-through-titanic-100fdd", "kernel_id": "189734"}, {"ref": "abner0908/a-journey-through-titanic-cc56e4", "kernel_id": "190686"}, {"ref": "dochero/myfirstscriptkaggletitanic", "kernel_id": "78976"}, {"ref": "xuantutran/exploratory-tutorial-titanic", "kernel_id": "113166"}, {"ref": "oilover/hikjhikhui", "kernel_id": "68222"}, {"ref": "utkarsh1002/notebook48c1553448", "kernel_id": "177742"}, {"ref": "madsingwar/notebook72a7f42529", "kernel_id": "96681"}, {"ref": "madsingwar/notebookf23a8cbf90", "kernel_id": "97008"}, {"ref": "mumonobert/exploring-survival-on-the-titanic", "kernel_id": "91801"}, {"ref": "barrysianturi/looking-into-titanic-disaster", "kernel_id": "154216"}, {"ref": "shenba/a-journey-through-titanic-648cdbb2", "kernel_id": "112396"}, {"ref": "shenba/a-journey-through-titanic", "kernel_id": "110257"}, {"ref": "imhuim982/xiang", "kernel_id": "109148"}, {"ref": "baibaiw5/a-journey-through-titanic", "kernel_id": "88433"}, {"ref": "tbskmmm/notebook52411b3f1a", "kernel_id": "196158"}, {"ref": "bbuituong/titanic-random-forest-82-78", "kernel_id": "185064"}, {"ref": "emachines735/titanic", "kernel_id": "48593"}, {"ref": "emachines735/notebook-c31e6595c0e2bd3450e9", "kernel_id": "48584"}, {"ref": "emachines735/notebook-38ba336a354a406e112d", "kernel_id": "48585"}, {"ref": "emachines735/notebook-fa4d79a95f15429948e1", "kernel_id": "48586"}, {"ref": "emachines735/prog-1", "kernel_id": "48587"}, {"ref": "emachines735/notebook-060c3e5cc3bd1de26d3a", "kernel_id": "48589"}, {"ref": "edeastwood/titanic-random-forest-using-sklearn-and-pandas", "kernel_id": "210888"}, {"ref": "rpowell1/notebook035fcfb8e3", "kernel_id": "187326"}, {"ref": "bwozniak/titanic-in-r", "kernel_id": "299348"}, {"ref": "bwozniak/my-first-kernel-titanic", "kernel_id": "262477"}, {"ref": "sendon/notebookcb26492136", "kernel_id": "236886"}, {"ref": "lbergami/prova", "kernel_id": "62113"}, {"ref": "lbergami/notebook-9c395dd994f4a5e94b54", "kernel_id": "62107"}, {"ref": "lbergami/notebook-aa46854afda52a50c554", "kernel_id": "62108"}, {"ref": "lbergami/prova-1", "kernel_id": "62109"}, {"ref": "lbergami/notebook-7f3be2a42a0bdb5299b3", "kernel_id": "62110"}, {"ref": "tylerolson17/exploring-survival-on-the-titanic", "kernel_id": "71180"}, {"ref": "caixiabi/titanic-test-1", "kernel_id": "49393"}, {"ref": "jinmin/notebookaab78ec300", "kernel_id": "157885"}, {"ref": "jinmin/a-journey-through-titanic-a55b5153", "kernel_id": "156007"}, {"ref": "tellusium/notebookef21a557ff", "kernel_id": "204046"}, {"ref": "tellusium/notebook5cf5f9a84a", "kernel_id": "182458"}, {"ref": "songbo/exploratory-tutorial-titanic", "kernel_id": "108213"}, {"ref": "rajeshnarasaiah/titanic", "kernel_id": "50600"}, {"ref": "chemalytics/exploring-survival-on-the-titanic", "kernel_id": "113254"}, {"ref": "chemalytics/titanic-new", "kernel_id": "239631"}, {"ref": "pureheart/a-journey-through-titanic", "kernel_id": "125142"}, {"ref": "siddsk/notebook-091de551d1f729c33a48", "kernel_id": "48736"}, {"ref": "siddsk/a-journey-through-titanic", "kernel_id": "50448"}, {"ref": "walidsalah/titanic-a-journey-through-python", "kernel_id": "140094"}, {"ref": "walidsalah/fork-of-notebook9cc2aaef49", "kernel_id": "160807"}, {"ref": "ashishpahwa7/exploring-survival-on-the-titanic", "kernel_id": "123250"}, {"ref": "zafar092/titanic", "kernel_id": "198823"}, {"ref": "solidsun/notebook-c65e5899a53601113cb9", "kernel_id": "54011"}, {"ref": "solidsun/notebook-c5c22a1bf84a53af9f97", "kernel_id": "54012"}, {"ref": "solidsun/notebook-c4ff63a2da8c5136b03c", "kernel_id": "54014"}, {"ref": "solidsun/notebook-306dfc82a0f05a91e351", "kernel_id": "54007"}, {"ref": "thinkle/a-journey-through-titanic", "kernel_id": "185272"}, {"ref": "thinkle/notebookcdab2fb546", "kernel_id": "185338"}, {"ref": "wisitlertsakwimarn/notebook-3a9e4816433b548bd8f2", "kernel_id": "48973"}, {"ref": "wisitlertsakwimarn/random-forest-benchmark-r-2", "kernel_id": "48978"}, {"ref": "danipar/notebookb1dad157da", "kernel_id": "226662"}, {"ref": "kaelchan/notebook904b89a602", "kernel_id": "98352"}, {"ref": "hvrigazov/notebook-17c7f5d3ea04ac95282a", "kernel_id": "48802"}, {"ref": "davidkohcw/david-koh", "kernel_id": "208562"}, {"ref": "joseph9252/a-journey-through-titanic", "kernel_id": "89437"}, {"ref": "witchdasha/firsttime", "kernel_id": "48849"}, {"ref": "devrath7s/edanalysis", "kernel_id": "123494"}, {"ref": "devrath7s/exploringdata", "kernel_id": "123497"}, {"ref": "devrath7s/exploringtitanic", "kernel_id": "123498"}, {"ref": "ceebrent/testing2", "kernel_id": "48865"}, {"ref": "ceebrent/notebook-0890ec7d1210e9d902b0", "kernel_id": "48869"}, {"ref": "ceebrent/notebook-2a8546ce94d6448007cb", "kernel_id": "49202"}, {"ref": "gveliopoulos/exploring-survival-on-the-titanic", "kernel_id": "49783"}, {"ref": "cwollett/titanic-machine-learning-from-disaster", "kernel_id": "51663"}, {"ref": "cwollett/notebook-6acb99951fd1c22c27c4", "kernel_id": "51664"}, {"ref": "cwollett/notebook-3dedd06051ddad84707b", "kernel_id": "51665"}, {"ref": "cwollett/notebook-ae6e3d1daf4cef2cadde", "kernel_id": "51772"}, {"ref": "mookie321/notebook-d7c80a7fcba19f4e0ee6", "kernel_id": "72925"}, {"ref": "xinqing100/notebook-26074a44518c06367433", "kernel_id": "69196"}, {"ref": "xinqing100/a-journey-through-titanic", "kernel_id": "90655"}, {"ref": "jmarthernandez/notebookbcd8ecadd3", "kernel_id": "176302"}, {"ref": "jamiewan/notebook-40bd43a0ce5b5b2c364b", "kernel_id": "48934"}, {"ref": "jamiewan/notebook-1c77d5587c78101c6c15", "kernel_id": "48936"}, {"ref": "jamiewan/notebook-a9ffb93816d133af7dfe", "kernel_id": "48938"}, {"ref": "jamiewan/notebook-e30e7da39d5272c6ca35", "kernel_id": "48939"}, {"ref": "jamiewan/notebook-81535dbf8e32baae2a1b", "kernel_id": "48915"}, {"ref": "jamiewan/tryout", "kernel_id": "48921"}, {"ref": "jamiewan/notebook-9e3821416aefb781206b", "kernel_id": "48917"}, {"ref": "jamiewan/notebook-f6d3d65ef2743d68b82d", "kernel_id": "49135"}, {"ref": "jamiewan/notebook-bbfd94f496f6ce25d491", "kernel_id": "49136"}, {"ref": "jamiewan/notebook-0aa0bd3e6d07e7540e78", "kernel_id": "49137"}, {"ref": "jamiewan/notebook-5003d120265e7f2e42ee", "kernel_id": "49132"}, {"ref": "jamiewan/notebook-b0096f4426ae1e04370c", "kernel_id": "49133"}, {"ref": "luisferfranco/deriving-data-from-people-s-title-salutation", "kernel_id": "100577"}, {"ref": "raychae/notebookf841cfdec6", "kernel_id": "275908"}, {"ref": "akkarachai/bondbond", "kernel_id": "49443"}, {"ref": "akkarachai/akkarachai", "kernel_id": "49431"}, {"ref": "akkarachai/notebook-396749dc9a75efcc61e4", "kernel_id": "49453"}, {"ref": "donghfhard/notebook-f164a0147d7c514ed031", "kernel_id": "67842"}, {"ref": "marwandebbiche/titanic", "kernel_id": "49025"}, {"ref": "beubzz/genderclassmodel", "kernel_id": "49252"}, {"ref": "beubzz/testt", "kernel_id": "49237"}, {"ref": "beubzz/myfirstforest", "kernel_id": "50125"}, {"ref": "ccihiocil/titanic-2", "kernel_id": "49216"}, {"ref": "ccihiocil/notebook-3acaab561ebe0af18af9", "kernel_id": "49088"}, {"ref": "ccihiocil/notebook-3f13db1da0e96c7381b0", "kernel_id": "49089"}, {"ref": "ccihiocil/notebook-35e5acfde58cb105faa7", "kernel_id": "49105"}, {"ref": "ccihiocil/hello-world-kaggle", "kernel_id": "49106"}, {"ref": "ccihiocil/notebook-b3ceb64f25845f3ec3ef", "kernel_id": "49108"}, {"ref": "ccihiocil/notebook-ef9e28006751588b2d4d", "kernel_id": "49102"}, {"ref": "winwin1234/notebook64f83852ae", "kernel_id": "157881"}, {"ref": "jgregory/exploratory-tutorial-titanic", "kernel_id": "110607"}, {"ref": "dandanw/notebookb3dcc43346", "kernel_id": "85869"}, {"ref": "diegomagalhaesm/exploring-survival-on-the-titanic", "kernel_id": "118883"}, {"ref": "mchano/notebook-e05c21fa2707532b83d1", "kernel_id": "49340"}, {"ref": "wrightlb/notebook-d7e242b0f057137bc2b0", "kernel_id": "53664"}, {"ref": "wrightlb/notebook-c69ebefd0f9e426dcf73", "kernel_id": "53665"}, {"ref": "wrightlb/notebook-b90d190dec59f43bf9d8", "kernel_id": "53666"}, {"ref": "wrightlb/prediction-alteration2", "kernel_id": "53667"}, {"ref": "wrightlb/notebook-b5538d60ff6334161ee1", "kernel_id": "52946"}, {"ref": "wrightlb/notebook-35fc827182c7d03a0ada", "kernel_id": "52947"}, {"ref": "wrightlb/notebook-f86636ee672ab39fe440", "kernel_id": "52948"}, {"ref": "wrightlb/notebook-3236b8c0f7f485b13b54", "kernel_id": "52846"}, {"ref": "wrightlb/notebook-da9b5151c2f8331b703a", "kernel_id": "52847"}, {"ref": "shantanug/firsttry", "kernel_id": "49364"}, {"ref": "moorfox/notebook2a7510d2f1", "kernel_id": "201778"}, {"ref": "theinoo/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "159009"}, {"ref": "jsleroux/notebook-823d48bca1542480957a", "kernel_id": "49383"}, {"ref": "erikleffler/notebook7ebd10b81c", "kernel_id": "140462"}, {"ref": "erikleffler/titanic", "kernel_id": "140466"}, {"ref": "igauty/ml-analysis-of-titanic-dataset", "kernel_id": "92391"}, {"ref": "igauty/a-journey-through-titanic", "kernel_id": "74889"}, {"ref": "lucasg/a-journey-through-titanic", "kernel_id": "191004"}, {"ref": "lucasg/notebooke7eeeb43a1", "kernel_id": "189787"}, {"ref": "jgk000/a-journey-through-titanic", "kernel_id": "110879"}, {"ref": "mrklees/applying-keras-scikit-learn-to-titanic", "kernel_id": "264345"}, {"ref": "sora4222/exploratory-tutorial-titanic", "kernel_id": "116958"}, {"ref": "pivs96/notebook-08029004c4d67b10df90", "kernel_id": "49667"}, {"ref": "pivs96/notebook-e056e270419d3b186bb2", "kernel_id": "49668"}, {"ref": "esajunttila/notebook-cbaefdcd5d97dec77e30", "kernel_id": "49712"}, {"ref": "esajunttila/testing-a-titanic", "kernel_id": "49713"}, {"ref": "kwonsoonwoo/first-test", "kernel_id": "107452"}, {"ref": "limjingyu/who-survived-the-titanic", "kernel_id": "460768"}, {"ref": "limjingyu/titanic-model-exploration", "kernel_id": "463423"}, {"ref": "sambone/titanic", "kernel_id": "49732"}, {"ref": "sambone/what-hwa", "kernel_id": "49734"}, {"ref": "cardoso/titanic-women-and-children-first", "kernel_id": "90351"}, {"ref": "murkho/a-journey-through-titanic", "kernel_id": "169091"}, {"ref": "wfrick/notebookae78368de7", "kernel_id": "216007"}, {"ref": "jiajingyue123/notebook-b68f7c46d63da81d28ec", "kernel_id": "49957"}, {"ref": "jiajingyue123/notebook-780d6bcd33b497849533", "kernel_id": "50240"}, {"ref": "jinmm1992/notebook88dbda51db", "kernel_id": "215990"}, {"ref": "rubenga/forest1", "kernel_id": "52874"}, {"ref": "rubenga/extratreeregression", "kernel_id": "52989"}, {"ref": "rubenga/randomforestiterator", "kernel_id": "53003"}, {"ref": "rubenga/test-2", "kernel_id": "50024"}, {"ref": "rubenga/test-3", "kernel_id": "50026"}, {"ref": "gogototo/a-journey-through-titanic", "kernel_id": "100860"}, {"ref": "babizanalyst/notebook7eb5508294", "kernel_id": "233825"}, {"ref": "hartleyg/a-journey-through-titanic", "kernel_id": "155192"}, {"ref": "tianyuzhao/notebook3c332a3269", "kernel_id": "204989"}, {"ref": "mattfelz1/r-script", "kernel_id": "50070"}, {"ref": "mattfelz1/first-attempt", "kernel_id": "50053"}, {"ref": "pedrofoliveira/notebook-187d607924b81273edbd", "kernel_id": "54227"}, {"ref": "pedrofoliveira/notebook-e1624c5b39e5aca7001e", "kernel_id": "54228"}, {"ref": "pedrofoliveira/notebook-767b14f8f4532514b35e", "kernel_id": "78250"}, {"ref": "loller/a-journey-through-titanic", "kernel_id": "169231"}, {"ref": "jingsai/titanic", "kernel_id": "53447"}, {"ref": "chiwei0104/notebook-46ede211147ef2aea08d", "kernel_id": "52828"}, {"ref": "poolmoon/notebook-d0a944838f53644a382e", "kernel_id": "82471"}, {"ref": "poolmoon/titanic-competition-2016-scipt", "kernel_id": "91608"}, {"ref": "poolmoon/titanic-competition-2016-demo", "kernel_id": "91602"}, {"ref": "poolmoon/titanic-competition-2016", "kernel_id": "91752"}, {"ref": "poolmoon/a-journey-through-titanic", "kernel_id": "91750"}, {"ref": "poolmoon/wb-titanic-competition-2017", "kernel_id": "285380"}, {"ref": "lifinger/titanic-practice", "kernel_id": "107134"}, {"ref": "jeolas/id-survived", "kernel_id": "50495"}, {"ref": "songwhu/notebook6c04f38070", "kernel_id": "180992"}, {"ref": "songwhu/titanic-data-science-solutions-6edb2c", "kernel_id": "208092"}, {"ref": "songwhu/copy-ml-from-start-to-finish-with-sklearn", "kernel_id": "225950"}, {"ref": "songwhu/notebook42d49c5edb", "kernel_id": "226452"}, {"ref": "songwhu/xgboost-example-copy", "kernel_id": "226559"}, {"ref": "songwhu/learn-it-use-it", "kernel_id": "222809"}, {"ref": "songwhu/notebookcf1d07446b", "kernel_id": "222641"}, {"ref": "songwhu/titanic", "kernel_id": "220836"}, {"ref": "songwhu/notebook61a1e9d07d", "kernel_id": "220908"}, {"ref": "songwhu/an-interactive-data-science-tutorial-92d4ff", "kernel_id": "211369"}, {"ref": "songwhu/notebookc6d3db6efb", "kernel_id": "212304"}, {"ref": "songwhu/notebooka7583de37e", "kernel_id": "209411"}, {"ref": "songwhu/notebookc4845b853b", "kernel_id": "209428"}, {"ref": "songwhu/a-journey-through-titanic", "kernel_id": "209433"}, {"ref": "songwhu/using-random-forest-1", "kernel_id": "208960"}, {"ref": "songwhu/an-interactive-data-science-tutorial", "kernel_id": "209741"}, {"ref": "villena/titanic-testing", "kernel_id": "50787"}, {"ref": "villena/titanic-testing-1", "kernel_id": "50795"}, {"ref": "villena/notebook-4f1864639ad6544fd63a", "kernel_id": "51433"}, {"ref": "villena/notebook-5cf5de4caad25f8f0a4d", "kernel_id": "51244"}, {"ref": "nitani/titanic", "kernel_id": "50382"}, {"ref": "nitani/notebook-f95b039ca9208a2dcb48", "kernel_id": "50973"}, {"ref": "heyarnaud/notebooke0f466918a", "kernel_id": "161615"}, {"ref": "heyarnaud/a-journey-through-titanic", "kernel_id": "108931"}, {"ref": "mokbernard/first-script", "kernel_id": "60088"}, {"ref": "georgewr/titanic-data-science-solutions", "kernel_id": "259776"}, {"ref": "arkazantsev/notebook-f01232b4f9a27ce86f8d", "kernel_id": "60608"}, {"ref": "kristinka28/titanic", "kernel_id": "50515"}, {"ref": "ihopethiswillfi/titanic-survival-prediction-in-python-with-xgboost", "kernel_id": "87334"}, {"ref": "garethjns/microsoft-lightgbm-with-parameter-tuning-0-823", "kernel_id": "260478"}, {"ref": "garethjns/microsoft-lightgbm-0-795", "kernel_id": "257968"}, {"ref": "garethjns/3-seconds-and-3-features-top-10", "kernel_id": "432107"}, {"ref": "sumitsen/notebookb6edda33ab", "kernel_id": "182377"}, {"ref": "sumitsen/a-journey-through-titanic", "kernel_id": "182380"}, {"ref": "sumitsen/learning-to-use-kaggle", "kernel_id": "202120"}, {"ref": "dongguo/test1", "kernel_id": "173113"}, {"ref": "ascote/notebookeb0e4d4733", "kernel_id": "203900"}, {"ref": "jersonrok/random-forest-survivors", "kernel_id": "55888"}, {"ref": "penakazato/notebookd91df8e0ed", "kernel_id": "218399"}, {"ref": "penakazato/titanic-2", "kernel_id": "221152"}, {"ref": "chrisbee/titanic-data-science-solutions", "kernel_id": "225134"}, {"ref": "thobat/notebook-8a3b2ba9ec87fbc70c02", "kernel_id": "56471"}, {"ref": "forthright48/a-journey-through-titanic-0d1c3d4a", "kernel_id": "136790"}, {"ref": "forthright48/notebook3b0cb92002", "kernel_id": "136838"}, {"ref": "forthright48/a-journey-through-titanic", "kernel_id": "136784"}, {"ref": "forthright48/first-kernel-learning-by-doing", "kernel_id": "153187"}, {"ref": "rodgexu/notebook-1fd70d0cb15c2c876c5c", "kernel_id": "73632"}, {"ref": "rodgexu/notebook-54bcecf97dd3e62949ea", "kernel_id": "73635"}, {"ref": "rodgexu/notebook-85504614e9f2eac29a0f", "kernel_id": "73636"}, {"ref": "rodgexu/notebook-861589c49365e647e1ee", "kernel_id": "73622"}, {"ref": "rodgexu/notebook-1e6d18260f796a7fbdb2", "kernel_id": "73623"}, {"ref": "rodgexu/study-of-tree-and-forest-algorithms", "kernel_id": "73617"}, {"ref": "rodgexu/notebookc1c1fb5f16", "kernel_id": "124836"}, {"ref": "simonletort/titanic-first-try-at-kernel", "kernel_id": "108883"}, {"ref": "simonletort/exploratory-tutorial-titanic", "kernel_id": "108739"}, {"ref": "tomatolovely/notebook-395d1a848e7f863b7400", "kernel_id": "63957"}, {"ref": "tomatolovely/notebook-75091ea50ada245ea46c", "kernel_id": "64577"}, {"ref": "tomatolovely/study-feature", "kernel_id": "64551"}, {"ref": "bridoux/1sttry", "kernel_id": "132023"}, {"ref": "danielthu/notebook-ad4b10df12890f30ff6b", "kernel_id": "63962"}, {"ref": "danielthu/notebook-74fc03763e3e39f882c2", "kernel_id": "63963"}, {"ref": "waransa/titanic-using-the-pseudo-labeling-method", "kernel_id": "376005"}, {"ref": "aykazesayan/notebook-275624d45d19a15a7e32", "kernel_id": "51376"}, {"ref": "aykazesayan/practica2", "kernel_id": "51378"}, {"ref": "mikejewell/notebook50e6ca4336", "kernel_id": "110292"}, {"ref": "mikejewell/test-script", "kernel_id": "110293"}, {"ref": "jdclark28/notebook64eb77a42a", "kernel_id": "109307"}, {"ref": "theorangejuice/test-001", "kernel_id": "60292"}, {"ref": "andrewnguyen/randomforest", "kernel_id": "110629"}, {"ref": "andrewnguyen/notebookecf51018bd", "kernel_id": "110674"}, {"ref": "anushakowdeed/notebook-c98373393c2ac1a735e7", "kernel_id": "77605"}, {"ref": "tiagocaruso/basic-model-using-pandas-and-sklearn", "kernel_id": "101570"}, {"ref": "karanpathak/notebook8299842937", "kernel_id": "96875"}, {"ref": "sam1001/testt", "kernel_id": "70873"}, {"ref": "sam1001/notebook-9ccdc07f496412b4acf6", "kernel_id": "70871"}, {"ref": "sam1001/testbb", "kernel_id": "70888"}, {"ref": "msourav01/notebook01f4d274ff", "kernel_id": "193681"}, {"ref": "phuongduyen/notebook187694ed1b", "kernel_id": "232925"}, {"ref": "arunchouhan/script", "kernel_id": "104262"}, {"ref": "priyatham/a-journey-through-titanic", "kernel_id": "146773"}, {"ref": "kurt7799/notebook7fe4ef993b", "kernel_id": "184423"}, {"ref": "sophiemc/notebook-02e7aa0c5e503641cdb3", "kernel_id": "71413"}, {"ref": "sophiemc/notebook-b4f910084d8129ff0e44", "kernel_id": "71414"}, {"ref": "sophiemc/study-of-tree-and-forest-algorithms", "kernel_id": "71165"}, {"ref": "sophiemc/notebook-1338a3fbe0985aec8d4c", "kernel_id": "75298"}, {"ref": "saradomin/notebook-6c40f2ea82b8be2a5043", "kernel_id": "52567"}, {"ref": "sblack/titanicsurvivalpredictions", "kernel_id": "227637"}, {"ref": "harshvaj/notebookfbce1a8cb8", "kernel_id": "247743"}, {"ref": "sociotech/a-journey-through-titanic", "kernel_id": "96851"}, {"ref": "ziyuanliu/a-journey-through-titanic", "kernel_id": "91942"}, {"ref": "fnbalves/learning-ds", "kernel_id": "247203"}, {"ref": "imanojkumar/notebook-d41fc07f676a752b20c5", "kernel_id": "55273"}, {"ref": "notmytype/interesting", "kernel_id": "105920"}, {"ref": "elleryleung/my-tutorial-test-script", "kernel_id": "107866"}, {"ref": "shakurova/titanic-machine-learning-from-disaster", "kernel_id": "236483"}, {"ref": "shakurova/an-interactive-data-science-tutorial-15eb68-copy", "kernel_id": "238047"}, {"ref": "hrvojeb89/testis", "kernel_id": "53782"}, {"ref": "hrvojeb89/notebook-50e9808716ac20c6e35c", "kernel_id": "53783"}, {"ref": "testuser32/a-journey-through-titanic", "kernel_id": "193396"}, {"ref": "testuser32/a-journey-through-titanic-551cf9", "kernel_id": "195346"}, {"ref": "iviglious/notebook8c7dccb9af", "kernel_id": "124545"}, {"ref": "iviglious/teamysi-titanic-rf-a", "kernel_id": "124540"}, {"ref": "shellyli/a-journey-through-titanic", "kernel_id": "86617"}, {"ref": "shenc3/notebook368e0ce0fe", "kernel_id": "227664"}, {"ref": "shenc3/notebook7387128643", "kernel_id": "227665"}, {"ref": "gcrowder/notebook-1815884cfbcf33c5c455", "kernel_id": "51630"}, {"ref": "chapay/a-journey-through-titanic", "kernel_id": "59796"}, {"ref": "chbimo/notebook40e23cccee", "kernel_id": "110673"}, {"ref": "cfadnavis/a-journey-through-titanic", "kernel_id": "102406"}, {"ref": "cfadnavis/hello-world", "kernel_id": "251171"}, {"ref": "sakibsunny/notebook819481441e", "kernel_id": "104524"}, {"ref": "eanderson/notebook-77dbecb8f702700b8194", "kernel_id": "61091"}, {"ref": "vijaypk10/trail", "kernel_id": "111742"}, {"ref": "smirnov/first-lab", "kernel_id": "54183"}, {"ref": "smirnov/first-lab123", "kernel_id": "55816"}, {"ref": "hbwinther/ml-hands-on-random-forest", "kernel_id": "368368"}, {"ref": "kewang/notebook-b3a7e26cae2370b8e9d3", "kernel_id": "52521"}, {"ref": "allanx/titanic-tests", "kernel_id": "103193"}, {"ref": "jianyiyang/a-journey-through-titanic", "kernel_id": "91242"}, {"ref": "jianyiyang/a-journey-through-titanic-78b660ba", "kernel_id": "91507"}, {"ref": "jianyiyang/copy-of-titanic-0-79-score-for-learning", "kernel_id": "142802"}, {"ref": "jianyiyang/titanic-0-79-score", "kernel_id": "143431"}, {"ref": "cherishuuu/notebook-570227d6bd2feddbbe4b", "kernel_id": "71138"}, {"ref": "zhaotianjing/titanic", "kernel_id": "109934"}, {"ref": "zhaotianjing/titanic-v2", "kernel_id": "109937"}, {"ref": "lesslaw/notebookf2ef29a1ab", "kernel_id": "112530"}, {"ref": "arata3/notebookfd5dabb040", "kernel_id": "234956"}, {"ref": "tsuruchan/notebook-40d6d4381d310969ffbc", "kernel_id": "54674"}, {"ref": "tsuruchan/notebooke3c0ff0790", "kernel_id": "214716"}, {"ref": "lpveeken/notebook82a154fd93", "kernel_id": "86881"}, {"ref": "victorgomes/eda-on-titanic", "kernel_id": "294016"}, {"ref": "victorgomes/notebook6f05e7ca4e", "kernel_id": "278971"}, {"ref": "aayush025/notebookf402e74f94", "kernel_id": "181643"}, {"ref": "rasnickr/notebook-15fc8ba693830c38609e", "kernel_id": "53707"}, {"ref": "rasnickr/glm-titanic", "kernel_id": "53118"}, {"ref": "pankajmishra/visualization-and-feature-engineering", "kernel_id": "71571"}, {"ref": "pankajmishra/titanic-sinking-revision", "kernel_id": "98380"}, {"ref": "pankajmishra/notebooka1c1d4cb41", "kernel_id": "97804"}, {"ref": "rmenendezm/exploring-survival-on-the-titanic", "kernel_id": "101712"}, {"ref": "rmenendezm/notebook-8569c2efdec26b39f9d0", "kernel_id": "52111"}, {"ref": "maheshcr21/notebook462b1d1015", "kernel_id": "237882"}, {"ref": "shamszaman99/a-journey-through-titanic", "kernel_id": "118533"}, {"ref": "youzunwen/a-journey-through-titanic", "kernel_id": "111439"}, {"ref": "erdemdevge/notebook49cf7c89b7", "kernel_id": "214158"}, {"ref": "tbarrueco/exploratory-data-analysis", "kernel_id": "223075"}, {"ref": "tbarrueco/notebook44976ccac6", "kernel_id": "196106"}, {"ref": "mbrecheteau/notebooka35fce263f", "kernel_id": "178113"}, {"ref": "amp1996/notebook03141061c5", "kernel_id": "236666"}, {"ref": "amp1996/an-interactive-data-science-tutorial", "kernel_id": "236970"}, {"ref": "pravguj/exploring-survival-on-the-titanic", "kernel_id": "53641"}, {"ref": "dlanza/classifier", "kernel_id": "60031"}, {"ref": "sergeymenis/titanic-dataset-analysis", "kernel_id": "66936"}, {"ref": "sergeymenis/notebook-b0aebfea1b4a78f5c0f0", "kernel_id": "66938"}, {"ref": "sergeymenis/notebook-d44ad8db6c817e23bcc1", "kernel_id": "66939"}, {"ref": "sergeymenis/notebook-d3fdf2b1cb7ba6b18f09", "kernel_id": "66941"}, {"ref": "sergeymenis/notebook-de9aefa29b1f53a13bb5", "kernel_id": "66943"}, {"ref": "almaya/introduction-to-ensembling-stacking-in-python", "kernel_id": "193600"}, {"ref": "almaya/titanic-best-working-classifier", "kernel_id": "195433"}, {"ref": "sauravgupta110/first", "kernel_id": "108949"}, {"ref": "sauravgupta110/introduction-to-ensembling-stacking-in-python", "kernel_id": "194328"}, {"ref": "izeyes/titanic-data-science-solutions-59c286", "kernel_id": "248953"}, {"ref": "izeyes/titanic-data-science-solutions", "kernel_id": "248403"}, {"ref": "luanshixia/an-interactive-data-science-tutorial", "kernel_id": "221482"}, {"ref": "prabhubct2/titanic-learning-1", "kernel_id": "104977"}, {"ref": "prabhubct2/notebook604598c3dd", "kernel_id": "104974"}, {"ref": "arsenalbyr/titanic-best-working-classifier", "kernel_id": "139597"}, {"ref": "arsenalbyr/fork-of-titanic-best-working-classifier", "kernel_id": "139598"}, {"ref": "arsenalbyr/exploratory-tutorial-titanic", "kernel_id": "139603"}, {"ref": "greenpencil/notebook-cf9eaa77e023a5ca9ee6", "kernel_id": "69977"}, {"ref": "greenpencil/notebook-7fb0d6d9dfe6f7dfd62a", "kernel_id": "70159"}, {"ref": "greenpencil/notebook-ca1a5c0b25f9cf665670", "kernel_id": "70160"}, {"ref": "mboaretto/marco-boaretto-1st-sub", "kernel_id": "162647"}, {"ref": "xiaoxu/titanic", "kernel_id": "57028"}, {"ref": "xiaoxu/notebook-39303268a08e3a364a00", "kernel_id": "57029"}, {"ref": "xiaoxu/titanic-python", "kernel_id": "57030"}, {"ref": "qwdm74/a-journey-through-titanic", "kernel_id": "116385"}, {"ref": "akhilp2020/notebook145a498f98", "kernel_id": "136116"}, {"ref": "pkacprzak/notebook1352b8acb9", "kernel_id": "202566"}, {"ref": "seu1tyz/a-journey-through-titanic-7e4eb6a8", "kernel_id": "94704"}, {"ref": "seu1tyz/a-journey-through-titanic-efc6b446", "kernel_id": "95212"}, {"ref": "seu1tyz/a-journey-through-titanic-1db4cd57", "kernel_id": "95103"}, {"ref": "seu1tyz/a-journey-through-titanic-12ea44bc", "kernel_id": "94354"}, {"ref": "krzysztofg/my-first-kaggle-script", "kernel_id": "206498"}, {"ref": "chujiu/notebooke5fcbf8edb", "kernel_id": "109041"}, {"ref": "xjywt123/notebookb59f5da190", "kernel_id": "128368"}, {"ref": "akarshzingade/notebook72890b5f28", "kernel_id": "241837"}, {"ref": "alacerdan/a-journey-through-titanic", "kernel_id": "94242"}, {"ref": "cuiyanzhe/notebookf2dce8cdd7", "kernel_id": "212751"}, {"ref": "jieeyang/random-forest-survivors", "kernel_id": "52642"}, {"ref": "nyuhx462/random-forest-benchmark-r", "kernel_id": "52851"}, {"ref": "nyuhx462/notebook-12b668aa6439bffb65f5", "kernel_id": "52853"}, {"ref": "sombeet/titanic", "kernel_id": "80248"}, {"ref": "csufprithviravikumar/titanic-survived-gender", "kernel_id": "58217"}, {"ref": "csufprithviravikumar/titanic-survived", "kernel_id": "58208"}, {"ref": "csufprithviravikumar/trial", "kernel_id": "58187"}, {"ref": "ariffyasri/fork-of-a-journey-through-titanic", "kernel_id": "91485"}, {"ref": "ariffyasri/a-journey-through-titanic", "kernel_id": "91483"}, {"ref": "ttxs2016/notebookeddc27c2eb", "kernel_id": "135654"}, {"ref": "yingcheng/a-journey-through-titanic", "kernel_id": "110055"}, {"ref": "chanida/testpython", "kernel_id": "56384"}, {"ref": "shravandhanuka/notebook71f64a7e8e", "kernel_id": "94457"}, {"ref": "berkju/titanic", "kernel_id": "143678"}, {"ref": "berkju/notebook2e92da94cc", "kernel_id": "143676"}, {"ref": "berkju/titanic1", "kernel_id": "143131"}, {"ref": "georgeha/notebookf77bf59dea", "kernel_id": "207978"}, {"ref": "georgeha/notebook072169f7f7", "kernel_id": "207980"}, {"ref": "georgeha/notebook27dd461fc9", "kernel_id": "208410"}, {"ref": "akilesh/survival-analysis-on-the-titanic", "kernel_id": "188932"}, {"ref": "akilesh/titanic-data-science-solutions-70c218", "kernel_id": "343615"}, {"ref": "babatee/a-journey-through-titanic", "kernel_id": "89968"}, {"ref": "yongle/a-journey-through-titanic", "kernel_id": "56561"}, {"ref": "nawfalabbassisaber/notebookcc349d293a", "kernel_id": "223669"}, {"ref": "sonercan/a-journey-through-titanic", "kernel_id": "194977"}, {"ref": "chezydan/titan", "kernel_id": "68625"}, {"ref": "idiakite/titanic-try-1", "kernel_id": "87440"}, {"ref": "rubtsovvasiliy/a-journey-through-titanic", "kernel_id": "87618"}, {"ref": "bvi1994/notebook8c296fb363", "kernel_id": "112637"}, {"ref": "bvi1994/exploring-survival-on-the-titanic", "kernel_id": "112643"}, {"ref": "rbales/titanic-xgboost-solution", "kernel_id": "266671"}, {"ref": "rbales/notebookb2ccc41885", "kernel_id": "243856"}, {"ref": "mithilajoshi/notebook-0b8e9cd13979a15cb2a1", "kernel_id": "55331"}, {"ref": "kisnastar/hello", "kernel_id": "59586"}, {"ref": "waterfling2008/a-journey-through-titanic", "kernel_id": "96232"}, {"ref": "saurabhnaik/first-try", "kernel_id": "170152"}, {"ref": "chrisgill/notebooke238cb2c6a", "kernel_id": "241343"}, {"ref": "xuyixuan/firsttest", "kernel_id": "102147"}, {"ref": "gweijie/test-titanic", "kernel_id": "119692"}, {"ref": "lh3400/rexus-mundi", "kernel_id": "262413"}, {"ref": "soumyaansh/titanic-2", "kernel_id": "230150"}, {"ref": "soumyaansh/notebook-cfaee3af2e1efcd8a76f", "kernel_id": "84105"}, {"ref": "soumyaansh/notebook-7dd4d1a474da0fdad311", "kernel_id": "84139"}, {"ref": "soumyaansh/notebook-5906e1941259b31c0150", "kernel_id": "82819"}, {"ref": "soumyaansh/titanic-revisit", "kernel_id": "82827"}, {"ref": "soumyaansh/notebook-b12f557f84d075a1a90d", "kernel_id": "82837"}, {"ref": "soumyaansh/notebook-0c8eeffab9d1e44a7664", "kernel_id": "83862"}, {"ref": "soumyaansh/notebook-3d5777c74a4a17a4f131", "kernel_id": "83916"}, {"ref": "soumyaansh/notebook-675625509c261d930ff4", "kernel_id": "82656"}, {"ref": "soumyaansh/notebook-b094102282a7a7f7425e", "kernel_id": "82632"}, {"ref": "soumyaansh/notebook-be3485a7d02e7616dec4", "kernel_id": "82635"}, {"ref": "soumyaansh/notebook-317dedfaa5c2d57749c2", "kernel_id": "82637"}, {"ref": "soumyaansh/notebook-746a8fa2e1115891bd5e", "kernel_id": "82638"}, {"ref": "soumyaansh/notebook-ec60871dfa80a6ebb2b9", "kernel_id": "82624"}, {"ref": "soumyaansh/notebook-1217540e16fa2e2d5311", "kernel_id": "82642"}, {"ref": "gnaleep/introduction-to-ensembling-stacking-in-python", "kernel_id": "190101"}, {"ref": "oanpapa/a-journey-through-titanic", "kernel_id": "146729"}, {"ref": "efmorgan92/titanic-knn-analysis-r", "kernel_id": "69069"}, {"ref": "terryli/geneticprogramming", "kernel_id": "225902"}, {"ref": "terryli/an-interactive-data-science-tutorial-b3e00d", "kernel_id": "225885"}, {"ref": "terryli/notebookb3c604e735", "kernel_id": "224611"}, {"ref": "kmilo89/notebook-95e1e0f166b3bf394f48", "kernel_id": "78830"}, {"ref": "kmilo89/hello-world", "kernel_id": "78827"}, {"ref": "josephguan/notebook-e150c0d37e663cbe005e", "kernel_id": "53723"}, {"ref": "dhdsjy/introduction-to-ensembling-stacking-in-python", "kernel_id": "223313"}, {"ref": "dhdsjy/introduction-to-ensembling-stacking-in-pyth-b30bbe", "kernel_id": "230120"}, {"ref": "dhdsjy/an-interactive-data-science-tutorial-dac666", "kernel_id": "229293"}, {"ref": "dhdsjy/an-interactive-data-science-tutorial", "kernel_id": "218011"}, {"ref": "jonamx/a-journey-through-titanic", "kernel_id": "102456"}, {"ref": "rickard19/a-journey-through-titanic", "kernel_id": "93397"}, {"ref": "jenhim/notebook339092a4ca", "kernel_id": "135949"}, {"ref": "surelyourejoking/test123sa", "kernel_id": "53829"}, {"ref": "dingqh14/titan", "kernel_id": "113956"}, {"ref": "kittu2015/julia", "kernel_id": "53838"}, {"ref": "hubertg86/titanic", "kernel_id": "65251"}, {"ref": "gauravd2196/visualization-of-data", "kernel_id": "73070"}, {"ref": "gauravd2196/notebook-624e023b13db1bb766f7", "kernel_id": "73098"}, {"ref": "goldob/titanic", "kernel_id": "53876"}, {"ref": "paulyoung/first-check", "kernel_id": "55361"}, {"ref": "sarat65/a-journey-through-titanic", "kernel_id": "103275"}, {"ref": "lbaresse/titanic", "kernel_id": "53911"}, {"ref": "lbaresse/notebook-8ec931f54c22e96fa739", "kernel_id": "53913"}, {"ref": "lbaresse/notebook-3740dc875a8281a30612", "kernel_id": "53914"}, {"ref": "ericwbzhang/notebook3bfa1da47e", "kernel_id": "90933"}, {"ref": "canhunan/notebook6cab630b31", "kernel_id": "212075"}, {"ref": "sreenivasvrao/titanic", "kernel_id": "130451"}, {"ref": "kylemede/basic", "kernel_id": "113547"}, {"ref": "kylemede/basic-random-forests-approach", "kernel_id": "113582"}, {"ref": "kylemede/random-forest-upgrade-with-xgboost", "kernel_id": "113585"}, {"ref": "kylemede/sklearn-logisticregression-enhanced", "kernel_id": "113974"}, {"ref": "kylemede/sklearn-randomforest-enhanced", "kernel_id": "113982"}, {"ref": "whitebeast/mnklkk", "kernel_id": "126761"}, {"ref": "saganoky/titanic-script", "kernel_id": "64764"}, {"ref": "scardinam/introduction-to-ensembling-stacking-in-python", "kernel_id": "194527"}, {"ref": "dataprojects/notebook-caf415d46d2f692563e1", "kernel_id": "69232"}, {"ref": "dataprojects/notebook-e011908c961d1be1e41b", "kernel_id": "69230"}, {"ref": "dataprojects/notebook-5310aad9bc983f515e9f", "kernel_id": "69697"}, {"ref": "dataprojects/notebook-cb02a55a55a0f6f023a5", "kernel_id": "71329"}, {"ref": "dataprojects/notebook-a1981a6c827731f9084a", "kernel_id": "71344"}, {"ref": "dataprojects/titanic", "kernel_id": "71346"}, {"ref": "anwartheravian/notebook-97feed69da8e7eff9ac9", "kernel_id": "85228"}, {"ref": "anwartheravian/notebook-8a22bce2cad8bb7d119e", "kernel_id": "85229"}, {"ref": "shamo002/empty", "kernel_id": "103516"}, {"ref": "shamo002/emptyyyy", "kernel_id": "108867"}, {"ref": "shamo002/notebook5fd38322ff", "kernel_id": "93534"}, {"ref": "payall4u/notebookfc09a3a443", "kernel_id": "275014"}, {"ref": "payall4u/notebooked883f4984", "kernel_id": "274947"}, {"ref": "payall4u/mytest", "kernel_id": "251400"}, {"ref": "payall4u/notebookaf407f97e5", "kernel_id": "252199"}, {"ref": "payall4u/demo-titanic", "kernel_id": "252191"}, {"ref": "payall4u/titanic", "kernel_id": "252193"}, {"ref": "gtmd2017/titanic-data-science-solutions", "kernel_id": "191801"}, {"ref": "euler57/a-journey-through-titanic", "kernel_id": "91669"}, {"ref": "euler57/a-journey-through-titanic-7da94b5f", "kernel_id": "91670"}, {"ref": "atsushirs/exploring-survival-on-the-titanic", "kernel_id": "129148"}, {"ref": "alisonp/my-titanic-attempt", "kernel_id": "407043"}, {"ref": "alisonp/my-titanic-attempt-improved-feature-selection", "kernel_id": "411804"}, {"ref": "ashinde/first-script", "kernel_id": "135596"}, {"ref": "ashinde/a-journey-through-titanic", "kernel_id": "175613"}, {"ref": "ashinde/titanic-data-science-solutions", "kernel_id": "188097"}, {"ref": "ashinde/amit-shinde-iteration-2", "kernel_id": "188103"}, {"ref": "ashinde/amit-shinde-iteration-1", "kernel_id": "187612"}, {"ref": "jezcope/notebookaa266c5998", "kernel_id": "246362"}, {"ref": "sr33kanth/a-journey-through-titanic", "kernel_id": "140160"}, {"ref": "sr33kanth/a-journey-through-titanic-1ec8f7df", "kernel_id": "140161"}, {"ref": "alexon/notebooka1f8deec8c", "kernel_id": "91896"}, {"ref": "acehanks/notebooka630c8976e", "kernel_id": "97318"}, {"ref": "mpradyumna/exploration-in-r", "kernel_id": "96233"}, {"ref": "mpradyumna/notebook58eab10767", "kernel_id": "96248"}, {"ref": "mpradyumna/notebook27beee4f8c", "kernel_id": "96283"}, {"ref": "mpradyumna/logit", "kernel_id": "96278"}, {"ref": "ankit864/getting-started-with-python-ii", "kernel_id": "72941"}, {"ref": "ankit864/preliminary-exploration", "kernel_id": "72942"}, {"ref": "dwskwkm/test-test-py", "kernel_id": "260497"}, {"ref": "jappwilson/notebook0c09fff66c", "kernel_id": "274569"}, {"ref": "jappwilson/lake-titinacca", "kernel_id": "269811"}, {"ref": "knivetes/an-interactive-data-science-tutorial", "kernel_id": "174989"}, {"ref": "knivetes/a-journey-through-titanic", "kernel_id": "177667"}, {"ref": "knivetes/titanic-data-science-solutions", "kernel_id": "175787"}, {"ref": "seyguai/notebook-0ecac6211058cfc3a698", "kernel_id": "54538"}, {"ref": "seyguai/demo-test1", "kernel_id": "54539"}, {"ref": "knt001/notebookabb5d2eb11", "kernel_id": "202298"}, {"ref": "stiley/titanic-simple-3-layer-neural-network", "kernel_id": "149378"}, {"ref": "bachirh/a-journey-through-titanic", "kernel_id": "94803"}, {"ref": "yishan/notebook-7fe4e0b4e6ef4b1b6de1", "kernel_id": "78181"}, {"ref": "pattyodesu/notebook86c10c8c8f", "kernel_id": "205524"}, {"ref": "amanskochhar/first-one", "kernel_id": "171969"}, {"ref": "robinfaber/notebook-fce891db7d1f4eb86b4c", "kernel_id": "77553"}, {"ref": "robinfaber/a-journey-through-titanic", "kernel_id": "75192"}, {"ref": "maza91/notebook-cfec280fd10e46ec0441", "kernel_id": "81473"}, {"ref": "maza91/titanic-neural-network-try", "kernel_id": "81474"}, {"ref": "maza91/titanic-logistic-regression", "kernel_id": "81573"}, {"ref": "efeliu/titan-dataset-prediction", "kernel_id": "192611"}, {"ref": "rmalshe/an-interactive-data-science-tutorial", "kernel_id": "175909"}, {"ref": "busfahren/notebook-bc57f9f8f0094418906b", "kernel_id": "54987"}, {"ref": "busfahren/notebook-7d524ee52ba66cffc39e", "kernel_id": "54971"}, {"ref": "aerie47/aaron-s-approach", "kernel_id": "199012"}, {"ref": "csufornelas1765/notebook-d714f45071c42e6b4b3b", "kernel_id": "55001"}, {"ref": "csufornelas1765/notebook-4ce1c3416a3a01b02c52", "kernel_id": "56017"}, {"ref": "csufornelas1765/mikeo1", "kernel_id": "56035"}, {"ref": "csufornelas1765/notebook-2285a078b0dbb1483559", "kernel_id": "56038"}, {"ref": "csufornelas1765/notebook-de33f5f1cf245e5503bf", "kernel_id": "56812"}, {"ref": "csufornelas1765/titanic-mo", "kernel_id": "56810"}, {"ref": "jozy0123/notebook8493364a98", "kernel_id": "245274"}, {"ref": "bigpoo/survival-rate-in-randomforest", "kernel_id": "59604"}, {"ref": "adrianspataru/first-submission", "kernel_id": "97000"}, {"ref": "adrianspataru/notebook871b0d8873", "kernel_id": "135860"}, {"ref": "adrianspataru/notebook2219bface3", "kernel_id": "136048"}, {"ref": "adrianspataru/notebook1cb53a121e", "kernel_id": "136050"}, {"ref": "adrianspataru/kaggle-meetup-01-edit1", "kernel_id": "136051"}, {"ref": "adrianspataru/notebook11b58e273d", "kernel_id": "124374"}, {"ref": "gian12/notebook1372115a83", "kernel_id": "175444"}, {"ref": "adamkaczmarek/titanic-1", "kernel_id": "87270"}, {"ref": "haolinwei/introduction-to-ensembling-stacking-in-pyth-689887", "kernel_id": "209734"}, {"ref": "yeremk/yerem-titanicscript", "kernel_id": "92155"}, {"ref": "yeremk/notebookf367a7b963", "kernel_id": "92148"}, {"ref": "josephbudin/notebook-1c595c01a024b7eb9ff9", "kernel_id": "74404"}, {"ref": "josephbudin/neural-networks-try", "kernel_id": "74405"}, {"ref": "code1110/titanic-model-prediction-submission", "kernel_id": "81272"}, {"ref": "mertserin/a-journey-through-titanic", "kernel_id": "164860"}, {"ref": "tokenyang/a-journey-through-titanic", "kernel_id": "55289"}, {"ref": "tokenyang/notebook-7ff0a3cb8b0459a04227", "kernel_id": "55290"}, {"ref": "tokenyang/notebook-69a2d96a13f62b553c5c", "kernel_id": "55291"}, {"ref": "tokenyang/notebook-fa1e302f5859b559f3f3", "kernel_id": "62990"}, {"ref": "tokenyang/notebook-3c2549eb6196875955e2", "kernel_id": "63696"}, {"ref": "tokenyang/notebook-48f4b28d2750a23c434c", "kernel_id": "63697"}, {"ref": "tokenyang/notebook-0b1c138f5aca6effdfad", "kernel_id": "63533"}, {"ref": "tokenyang/notebook-571a38e95dab53b1669b", "kernel_id": "63534"}, {"ref": "tokenyang/kaggle-first-ipythonnotebook", "kernel_id": "63535"}, {"ref": "tokenyang/notebook-4d4705263f0d61476e5c", "kernel_id": "63437"}, {"ref": "tokenyang/notebook-0a63f52f04fe7a2ee038", "kernel_id": "63427"}, {"ref": "pugen676/notebook-ee0abe5adbe2595953fc", "kernel_id": "55322"}, {"ref": "yaoxufeng/notebook4d20698928", "kernel_id": "129051"}, {"ref": "memsengineer/notebook-c19aa45885521ce88f0e", "kernel_id": "58527"}, {"ref": "purbohadi/notebook802510c5fe", "kernel_id": "183202"}, {"ref": "win2cs/notebooke6f21e4025", "kernel_id": "134918"}, {"ref": "win2cs/test-1", "kernel_id": "134924"}, {"ref": "win2cs/a-journey-through-titanic", "kernel_id": "134895"}, {"ref": "win2cs/a-journey-through-titanic-61e1d1ce", "kernel_id": "134904"}, {"ref": "andresmoreira/titanic-problem-based-on-helge-bjorland", "kernel_id": "203332"}, {"ref": "andresmoreira/titanic-competition-am", "kernel_id": "203097"}, {"ref": "raulle/a-journey-through-titanic", "kernel_id": "87981"}, {"ref": "njjnex/titanic-prediction", "kernel_id": "227908"}, {"ref": "cathairmoustache/notebook-9672bac056c2dce1bc20", "kernel_id": "55575"}, {"ref": "thyrland/tuto-titanic", "kernel_id": "63529"}, {"ref": "weil41/titanic", "kernel_id": "71169"}, {"ref": "junepark/a-journey-through-titanic", "kernel_id": "92288"}, {"ref": "jorgepit/notebook-f7624ee1fcac0e59046d", "kernel_id": "59897"}, {"ref": "doublefox/a-journey-through-titanic", "kernel_id": "107538"}, {"ref": "amaids/resultat", "kernel_id": "65769"}, {"ref": "amaids/lastlast", "kernel_id": "67155"}, {"ref": "amaids/notebook-2010e97ad72cd58f6514", "kernel_id": "60575"}, {"ref": "amaids/data-sc", "kernel_id": "60577"}, {"ref": "amaids/notebook-bbc6088823effab7423c", "kernel_id": "65455"}, {"ref": "amaids/notebook-9c7ea8eeed327d9a3484", "kernel_id": "65448"}, {"ref": "amaids/sortie", "kernel_id": "65449"}, {"ref": "actuben/quick-eda-for-beginners", "kernel_id": "747198"}, {"ref": "edmwanza1/notebookc925880a0a", "kernel_id": "127083"}, {"ref": "squaresurf/geneticprogramming", "kernel_id": "207599"}, {"ref": "squaresurf/an-interactive-data-science-tutorial", "kernel_id": "206079"}, {"ref": "xliang/titanic-survival-prediction", "kernel_id": "71564"}, {"ref": "miningjerry/notebook6e130c86f3", "kernel_id": "141897"}, {"ref": "miningjerry/notebook5968544113", "kernel_id": "141894"}, {"ref": "huynguyen88/notebookd1fc7ee64c", "kernel_id": "208310"}, {"ref": "huynguyen88/notebook351563fe80", "kernel_id": "228884"}, {"ref": "weiyuxing/train-dataset-script", "kernel_id": "92939"}, {"ref": "weiyuxing/a-journey-through-titanic", "kernel_id": "102626"}, {"ref": "sieurdulhut/notebook4beab25e5d", "kernel_id": "118593"}, {"ref": "talk2cshah/a-journey-through-titanic", "kernel_id": "197175"}, {"ref": "rmgservices/notebook-d2db7942bf3898ae0f45", "kernel_id": "56114"}, {"ref": "scsh2010/notebook-13e18d4ec02574528a1c", "kernel_id": "59577"}, {"ref": "chaitanyapusuluri/notebook600c64a3ec", "kernel_id": "230852"}, {"ref": "gzw8210/notebooke8209ee086", "kernel_id": "112114"}, {"ref": "gzw8210/a-journey-through-titanic", "kernel_id": "124627"}, {"ref": "gzw8210/predicting-survival-on-the-titanic", "kernel_id": "124658"}, {"ref": "gzw8210/fork-of-the-titanic-project", "kernel_id": "124682"}, {"ref": "gzw8210/the-titanic-project2", "kernel_id": "124684"}, {"ref": "gzw8210/notebook240a204204", "kernel_id": "124677"}, {"ref": "jinfuyearn/notebook-b5e729cd4a70b6cba62b", "kernel_id": "57740"}, {"ref": "satyabratarath/python-titanic", "kernel_id": "87512"}, {"ref": "satyabratarath/a-journey-through-titanic", "kernel_id": "125381"}, {"ref": "jinlchristopher/notebookab47a72c76", "kernel_id": "234982"}, {"ref": "luoxiaoyu/notebook939af1206a", "kernel_id": "235235"}, {"ref": "kuliksv/notebook2caf1c35c0", "kernel_id": "108738"}, {"ref": "mnd1892/manav-titanic-r", "kernel_id": "202702"}, {"ref": "mnd1892/notebook655e3fa0ea", "kernel_id": "203962"}, {"ref": "dreamsfuture/introduction-to-decision-trees-titanic-dataset", "kernel_id": "199283"}, {"ref": "bearylogical/titanic", "kernel_id": "106428"}, {"ref": "alexanderkegel/exploring-the-titanic-dataset", "kernel_id": "132255"}, {"ref": "virinchi/decision-tree-visualization-submission", "kernel_id": "161297"}, {"ref": "santham/a-journey-through-titanic", "kernel_id": "191046"}, {"ref": "csuflohit33/titanic-2016", "kernel_id": "58577"}, {"ref": "csuflohit33/titititit", "kernel_id": "58450"}, {"ref": "csuflohit33/titaniccc", "kernel_id": "58484"}, {"ref": "csuflohit33/notebook-1f28c9a457f285f4043f", "kernel_id": "58492"}, {"ref": "csuflohit33/lohit", "kernel_id": "58493"}, {"ref": "csuflohit33/lohit-titanic", "kernel_id": "58494"}, {"ref": "csuflohit33/titanic007", "kernel_id": "64111"}, {"ref": "csuflohit33/titinaic2621", "kernel_id": "64106"}, {"ref": "antonn/titanicmustlive", "kernel_id": "56441"}, {"ref": "danielarnason/test-daniel", "kernel_id": "178944"}, {"ref": "danielarnason/notebook8b6109933b", "kernel_id": "178939"}, {"ref": "danielarnason/an-interactive-data-science-tutorial-2dc2fab3", "kernel_id": "178928"}, {"ref": "danielarnason/an-interactive-data-science-tutorial", "kernel_id": "178778"}, {"ref": "danielarnason/notebookefdb110f87", "kernel_id": "184264"}, {"ref": "liujialin/notebookd2e672bb60", "kernel_id": "173678"}, {"ref": "liujialin/notebook18358a634e", "kernel_id": "246471"}, {"ref": "vanitymoi/firs-test", "kernel_id": "56509"}, {"ref": "sammous/titanic", "kernel_id": "90785"}, {"ref": "solino/titanik-0804", "kernel_id": "86028"}, {"ref": "niklasa/test1-titanic", "kernel_id": "62874"}, {"ref": "sangchengyan/notebook-f52940790ba0d5fa55d1", "kernel_id": "80015"}, {"ref": "farrell90/apprentissage-stat", "kernel_id": "61354"}, {"ref": "farrell90/notebook-c72d5b4c2764551e72d6", "kernel_id": "62010"}, {"ref": "farrell90/notebook-7bfd56526c6f6ed11c3f", "kernel_id": "61506"}, {"ref": "farrell90/projet-apprentissage-statistique", "kernel_id": "60572"}, {"ref": "farrell90/logistic", "kernel_id": "67230"}, {"ref": "gtouzin/titanic-data-science-solutions", "kernel_id": "150221"}, {"ref": "pysim8/a-journey-through-titanic", "kernel_id": "89035"}, {"ref": "mariammohamed/training-different-models", "kernel_id": "209717"}, {"ref": "somnathmit/trainhard", "kernel_id": "274730"}, {"ref": "treina/titanic-with-adaboost", "kernel_id": "105589"}, {"ref": "weeliangng/notebookde150e16a6", "kernel_id": "136899"}, {"ref": "weeliangng/titanic", "kernel_id": "136901"}, {"ref": "trialsat/trialsat", "kernel_id": "57533"}, {"ref": "trialsat/testing-titanic-survival", "kernel_id": "56819"}, {"ref": "trialsat/code-trial", "kernel_id": "56822"}, {"ref": "trialsat/trialtuesday", "kernel_id": "57818"}, {"ref": "bthesorceror/notebook5a53a97d8b", "kernel_id": "225310"}, {"ref": "harshuljain/a-journey-through-titanic", "kernel_id": "108249"}, {"ref": "christfan868/a-journey-through-titanic", "kernel_id": "100342"}, {"ref": "samuelecozzi/notebook166d4aa031", "kernel_id": "147519"}, {"ref": "dwalker/notebookd2f39f7eca", "kernel_id": "193532"}, {"ref": "csufalekhyak92/abcde-2", "kernel_id": "58479"}, {"ref": "csufalekhyak92/new-submission-alekhya", "kernel_id": "58463"}, {"ref": "csufalekhyak92/alekhya", "kernel_id": "58434"}, {"ref": "yohanesgultom/titanic", "kernel_id": "330737"}, {"ref": "ziheli/a-journey-through-titanic", "kernel_id": "104846"}, {"ref": "uhealin/notebookad4fcb7a5b", "kernel_id": "330613"}, {"ref": "kstory/notebooka7fb78bfa3", "kernel_id": "254037"}, {"ref": "kstory/notebook12b3576b28", "kernel_id": "258443"}, {"ref": "abdelkafiahmed/notebookaacfbcc03b", "kernel_id": "112980"}, {"ref": "jd2062/notebook0bc30c2f7e", "kernel_id": "110425"}, {"ref": "pcm1312/notebook8f47dcae76", "kernel_id": "104773"}, {"ref": "pcm1312/notebook595d55c7d6", "kernel_id": "102921"}, {"ref": "pcm1312/notebook4ed8b6e72f", "kernel_id": "102462"}, {"ref": "sunq85/learning-note-on-titanic", "kernel_id": "100816"}, {"ref": "armiwin/notebook3cc6d716bf", "kernel_id": "94497"}, {"ref": "cnheider/introduction-to-ensembling-stacking-in-python", "kernel_id": "190920"}, {"ref": "bayern/transformation-for-titanic-data", "kernel_id": "441389"}, {"ref": "bodigrim/notebookc7fc737804", "kernel_id": "229590"}, {"ref": "jeanns/notebook-a45b31ed82c035082628", "kernel_id": "64026"}, {"ref": "journeycheng/notebook-1d26920d35d3848575a8", "kernel_id": "71849"}, {"ref": "journeycheng/script-py", "kernel_id": "71851"}, {"ref": "jenliu/randomforest-leaderboard-0-8134", "kernel_id": "61453"}, {"ref": "tbroiles/notebook1f9b8608f9", "kernel_id": "191465"}, {"ref": "tbroiles/tom-s-notebook", "kernel_id": "191471"}, {"ref": "tbroiles/notebook8467d10854", "kernel_id": "191473"}, {"ref": "thisisbad/notebook-bbc437e99adaa90dfa9d", "kernel_id": "76794"}, {"ref": "sfinegold/notebookaa6517c37b", "kernel_id": "258424"}, {"ref": "vietanh/titanic", "kernel_id": "97359"}, {"ref": "lakshya90/a-journey-through-titanic", "kernel_id": "167761"}, {"ref": "zenoofelea/notebooked3cc18902", "kernel_id": "99182"}, {"ref": "muhammadmagdi/notebook176a915b5e", "kernel_id": "88712"}, {"ref": "muhammadmagdi/fork-of-titanic-survival-exploration", "kernel_id": "88702"}, {"ref": "muhammadmagdi/fork-of-titanic-survival-exploration-eea3585b", "kernel_id": "88703"}, {"ref": "winedix/hello-world-of-titanic-data-science", "kernel_id": "109724"}, {"ref": "ddfigueiredo/experimenting-with-neural-networks", "kernel_id": "76742"}, {"ref": "hcmarchezi/random-forest-with-clustering-to-interpret-data", "kernel_id": "103384"}, {"ref": "hcmarchezi/random-forest-for-titanic-problem", "kernel_id": "62090"}, {"ref": "nishantagarwal1990/titanic", "kernel_id": "273829"}, {"ref": "nishantagarwal1990/titanic-kernel", "kernel_id": "273832"}, {"ref": "kartheek588/notebooka1de25ca1e", "kernel_id": "344988"}, {"ref": "anusha91/notebook-1886bf1feaba49fb4627", "kernel_id": "66683"}, {"ref": "anusha91/a-journey-through-titanic", "kernel_id": "108570"}, {"ref": "anusha91/a-journey-through-titanic-f817705c", "kernel_id": "108591"}, {"ref": "cjwker/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "165357"}, {"ref": "cjwker/exploratory-tutorial-titanic", "kernel_id": "171552"}, {"ref": "cjwker/a-journey-through-titanic-f980e628", "kernel_id": "170320"}, {"ref": "cjwker/a-journey-through-titanic-f7eca098", "kernel_id": "170321"}, {"ref": "cjwker/introduction-to-ensembling-stacking-in-python", "kernel_id": "193580"}, {"ref": "cjwker/an-interactive-data-science-tutorial", "kernel_id": "192855"}, {"ref": "cjwker/machine-and-deep-learning-stacking-classi-9eeffb", "kernel_id": "200749"}, {"ref": "blast11/trversion1", "kernel_id": "58194"}, {"ref": "naveensaim/nav-titanic", "kernel_id": "68866"}, {"ref": "naveensaim/notebook-e6fd95bb206742fa3f6f", "kernel_id": "71645"}, {"ref": "naveensaim/nav-titanic-2", "kernel_id": "71650"}, {"ref": "bytedd/xgboost-benchmark", "kernel_id": "72362"}, {"ref": "bytedd/notebook-83f46a7c327a2398502e", "kernel_id": "72363"}, {"ref": "bytedd/notebook-be01b295c1892c2a98a4", "kernel_id": "72369"}, {"ref": "christopherfrank/notebook22a9df1dc9", "kernel_id": "212717"}, {"ref": "mailong25/notebookd954b5e168", "kernel_id": "100602"}, {"ref": "mailong25/notebook155bb7bffc", "kernel_id": "100612"}, {"ref": "acmiyaguchi/notebook-9b823851fbdadadf303e", "kernel_id": "59880"}, {"ref": "acmiyaguchi/titanic", "kernel_id": "59875"}, {"ref": "maitrayee/a-journey-through-titanic", "kernel_id": "102120"}, {"ref": "csufnashik25/titanic-exam", "kernel_id": "58202"}, {"ref": "katsuma/a-journey-through-titanic", "kernel_id": "110036"}, {"ref": "katsuma/titnic-training-py", "kernel_id": "108835"}, {"ref": "yongwang/notebook96d72d9f6a", "kernel_id": "90291"}, {"ref": "bmsams/notebook9820b94494", "kernel_id": "149594"}, {"ref": "cheffyu/notebook-ee9af90c06ebb0c581de", "kernel_id": "79861"}, {"ref": "cheffyu/a-journey-through-titanic", "kernel_id": "79154"}, {"ref": "kewalshah4/titanic-s-journey", "kernel_id": "58319"}, {"ref": "kewalshah4/notebook-3dfe4bc38b6e7499a7ee", "kernel_id": "58337"}, {"ref": "kewalshah4/notebook-3babdf79b91f940c875f", "kernel_id": "58585"}, {"ref": "slmouradian/titanic-data-science-solutions", "kernel_id": "186064"}, {"ref": "vladimirpereverzev/my-sandbox", "kernel_id": "174064"}, {"ref": "vladimirpereverzev/my-first-pen-test", "kernel_id": "178246"}, {"ref": "pexea12/titanic", "kernel_id": "811191"}, {"ref": "csufprithvi/predict", "kernel_id": "58466"}, {"ref": "csufprithvi/graph-of-survived", "kernel_id": "58451"}, {"ref": "csufprithvi/prediction", "kernel_id": "58457"}, {"ref": "csufprithvi/titanic", "kernel_id": "58419"}, {"ref": "csufprithvi/result", "kernel_id": "58445"}, {"ref": "csufprithvi/titanic-gendersurvived", "kernel_id": "58402"}, {"ref": "csufelisetti/karthik", "kernel_id": "58572"}, {"ref": "tomasz92/notebook-3a664369db1055d79761", "kernel_id": "61784"}, {"ref": "njitram/logistic-regression-exercise", "kernel_id": "235428"}, {"ref": "xaiyeon/random-forest-survivors", "kernel_id": "62006"}, {"ref": "csufpuneethaalla/titanic-pooh-last", "kernel_id": "58559"}, {"ref": "csufpuneethaalla/titanic-pooh-2", "kernel_id": "58564"}, {"ref": "csufpuneethaalla/titititio", "kernel_id": "58565"}, {"ref": "csufpuneethaalla/tititi", "kernel_id": "58566"}, {"ref": "csufpuneethaalla/titanic-puneeth", "kernel_id": "58576"}, {"ref": "panda1023/svm-example-for-titanic", "kernel_id": "176223"}, {"ref": "panda1023/random-forest-benchmark-r", "kernel_id": "176158"}, {"ref": "overseer66/a-journey-through-titanic", "kernel_id": "63617"}, {"ref": "overseer66/notebook-d90615cf7835ba61fc76", "kernel_id": "63620"}, {"ref": "cpssensor/titanic-evan", "kernel_id": "66715"}, {"ref": "rajeev921/notebook-1a9a69e2d5cf4e646bcd", "kernel_id": "60223"}, {"ref": "rajeev921/notebook-63a771eb84c484fd2586", "kernel_id": "76611"}, {"ref": "bhaskar2443053/a-journey-through-titanic", "kernel_id": "115619"}, {"ref": "petrinac/notebook443a0d5b08", "kernel_id": "275634"}, {"ref": "pavanyrpr/notebook-32788cbc57310b6378a4", "kernel_id": "59998"}, {"ref": "andyryansmith/notebook-3fcc8570a17559ea5158", "kernel_id": "60851"}, {"ref": "andyryansmith/notebook-e7863c5ef4481505aaa1", "kernel_id": "60852"}, {"ref": "andyryansmith/titantic-script", "kernel_id": "60853"}, {"ref": "sanjames/my-first-attempt-in-titanic-analysis", "kernel_id": "359879"}, {"ref": "cjopengler/a-journey-through-titanic", "kernel_id": "90997"}, {"ref": "nixon93/first-try", "kernel_id": "65282"}, {"ref": "ankitamehta90/first", "kernel_id": "64697"}, {"ref": "jamway/notebook-7e4e4bf77b544539a30b", "kernel_id": "62069"}, {"ref": "luistj/notebook-923b49e7d1e359415da4", "kernel_id": "63014"}, {"ref": "nonbeing/notebook-744f5193729e1e3433c7", "kernel_id": "58951"}, {"ref": "nileshsutar/a-journey-through-titanic", "kernel_id": "95457"}, {"ref": "nileshsutar/a-journey-through-titanic-00f63242", "kernel_id": "96179"}, {"ref": "anand0427/classification-for-beginners", "kernel_id": "855755"}, {"ref": "mritunjaynitr/notebookd083205d3f", "kernel_id": "90556"}, {"ref": "jinwhipark/test-01", "kernel_id": "120476"}, {"ref": "marcinsalaterski/titanic-tensorflow", "kernel_id": "321480"}, {"ref": "mangrio/test-random-forest-perf-with-cv-data", "kernel_id": "59167"}, {"ref": "dodo5575/a-journey-through-titanic", "kernel_id": "92043"}, {"ref": "kevbonham/notebookfe1d7f26c3", "kernel_id": "169079"}, {"ref": "cjullian/first-test", "kernel_id": "256150"}, {"ref": "colladete/over-0-8-with-votingclassifier", "kernel_id": "270421"}, {"ref": "suki99/titanic-1", "kernel_id": "71166"}, {"ref": "cpwhidden/titanic", "kernel_id": "172443"}, {"ref": "cpwhidden/notebook0865c3f0db", "kernel_id": "172444"}, {"ref": "vladistan/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "166411"}, {"ref": "scottz/titanic-disaster", "kernel_id": "62222"}, {"ref": "tekbasel/titanic-data-science-solutions", "kernel_id": "150072"}, {"ref": "xavierfu1989/notebook-7ffaa1432a4feb926dd3", "kernel_id": "60564"}, {"ref": "xavierfu1989/notebook-361ce03229b6160c3bdf", "kernel_id": "60553"}, {"ref": "opeoluwabanwo/notebook-f3c8ac15e9ad5a0e7696", "kernel_id": "66337"}, {"ref": "arjun1/installed-python-packages", "kernel_id": "65207"}, {"ref": "eliyaz60/notebook83b645043b", "kernel_id": "111399"}, {"ref": "punkfood/notebook25542cced7", "kernel_id": "258467"}, {"ref": "bburns/exploring-the-titanic-dataset", "kernel_id": "107658"}, {"ref": "yezupei/notebook-4eb6a2050a148093b663", "kernel_id": "72345"}, {"ref": "abrar123/titanic-data-wrangling-and-analysis", "kernel_id": "137495"}, {"ref": "sugethakch/a-journey-through-titanic", "kernel_id": "100265"}, {"ref": "nickevans3976/notebook-23f62728c4acf733190d", "kernel_id": "61567"}, {"ref": "nickevans3976/notebook-976ca8f8553279282898", "kernel_id": "61545"}, {"ref": "defang/titanic", "kernel_id": "63789"}, {"ref": "defang/titanics", "kernel_id": "63790"}, {"ref": "schirmerchad/mlnd-p1-titanic-survival-exploration", "kernel_id": "269762"}, {"ref": "pjhahn1/notebook0fb6f1b8a4", "kernel_id": "99692"}, {"ref": "sjsingh/rf-benchmark", "kernel_id": "99501"}, {"ref": "sjsingh/notebook11497787bf", "kernel_id": "99382"}, {"ref": "danache/a-journey-through-titanic", "kernel_id": "101367"}, {"ref": "marypopko/testaaa", "kernel_id": "60347"}, {"ref": "liudongqing/titanic-dqliu-1", "kernel_id": "78476"}, {"ref": "pradeeptrical/notebook38b94a3bfe", "kernel_id": "140437"}, {"ref": "ryosuke/titanic-data-science-solutions", "kernel_id": "152496"}, {"ref": "ryosuke/a-journey-through-titanic", "kernel_id": "155272"}, {"ref": "tiggi74/titanic-survival-py", "kernel_id": "81035"}, {"ref": "tiggi74/myfirstml", "kernel_id": "92499"}, {"ref": "tms1337/titanic-random-forest-82-78", "kernel_id": "177812"}, {"ref": "jester/titanic-disaster-prediction", "kernel_id": "349858"}, {"ref": "jayana/a-journey-through-titanic", "kernel_id": "102896"}, {"ref": "idansc/titanic-machine-learning-from-a-disaster", "kernel_id": "116689"}, {"ref": "serappa/a-journey-through-titanic", "kernel_id": "92811"}, {"ref": "grubby/titanic-random-forest-82-78-e6c9af", "kernel_id": "214329"}, {"ref": "longhao/test-tatanic", "kernel_id": "66880"}, {"ref": "harvardn777/an-interactive-data-science-tutorial", "kernel_id": "171028"}, {"ref": "sachingupta0285/notebook8f0aab2196", "kernel_id": "115527"}, {"ref": "sachingupta0285/notebookfbbd112828", "kernel_id": "115915"}, {"ref": "sachingupta0285/notebookb8575ef405", "kernel_id": "115173"}, {"ref": "sachingupta0285/notebook3e86018ded", "kernel_id": "117638"}, {"ref": "sachingupta0285/notebook730eb20519", "kernel_id": "118232"}, {"ref": "swarup09/notebook22ec70681a", "kernel_id": "216643"}, {"ref": "gybelle/a-journey-through-titanic", "kernel_id": "100130"}, {"ref": "dnturner/notebook-4025c692dacd925fdc29", "kernel_id": "62947"}, {"ref": "dnturner/notebook-78dcb9846a54e1b128b7", "kernel_id": "62940"}, {"ref": "dnturner/notebook-1963145c6a1baef6c78c", "kernel_id": "62941"}, {"ref": "pauloo7/finalscriptnn", "kernel_id": "282584"}, {"ref": "watrool/titanic-data-science-solutions", "kernel_id": "324893"}, {"ref": "insanitymonkey/first-solution", "kernel_id": "77118"}, {"ref": "jromio/titanic", "kernel_id": "62742"}, {"ref": "jromio/titanicf", "kernel_id": "62746"}, {"ref": "maxmaxz/notebookd64dce71fa", "kernel_id": "267270"}, {"ref": "maxonr/notebook-88cb1c4175b110d0fc98", "kernel_id": "81991"}, {"ref": "hasibmujtaba/gravity-first", "kernel_id": "147616"}, {"ref": "hasibmujtaba/gravity-wave", "kernel_id": "150869"}, {"ref": "govinds106/notebook9c9857d545", "kernel_id": "165808"}, {"ref": "ahmetyazar/notebook-d7c070c11c97c8f825fe", "kernel_id": "73055"}, {"ref": "ahmetyazar/exploratory-tutorial-titanic-disaster", "kernel_id": "115698"}, {"ref": "tawonque/titanic-by-tawonque-lr-and-rf", "kernel_id": "104635"}, {"ref": "xpanchito380/titanic-disaster", "kernel_id": "142566"}, {"ref": "vsawhney/notebook-f54e82473b9ff23d52c7", "kernel_id": "61896"}, {"ref": "blutea/notebook-d4977856e4e5f6eb5e1b", "kernel_id": "66138"}, {"ref": "blutea/notebook-872ad5ac25f5f477fbae", "kernel_id": "66139"}, {"ref": "willhappen/an-interactive-data-science-tutorial-6f4ec8", "kernel_id": "214314"}, {"ref": "gauss17/notebook-cd70860aadfa03d9bd0b", "kernel_id": "63374"}, {"ref": "jww001/exploring-survival-on-the-titanicqw", "kernel_id": "181030"}, {"ref": "jww001/weoipwirtjpwofio", "kernel_id": "217823"}, {"ref": "juneja/titanic", "kernel_id": "153260"}, {"ref": "chenpeikai/stacking-methold", "kernel_id": "356882"}, {"ref": "valent1ne/trying-to-process-cabin", "kernel_id": "147402"}, {"ref": "valent1ne/trying-to-process-cabin-titanic-dataframe", "kernel_id": "147406"}, {"ref": "valent1ne/fork-of-notebook13b8fe093f", "kernel_id": "147388"}, {"ref": "manojbalaji1/a-journey-through-titanic", "kernel_id": "195716"}, {"ref": "nanar69m/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "162740"}, {"ref": "joku91/a-journey-through-titanic", "kernel_id": "125315"}, {"ref": "akakkilaya/python-decisiontreeclassifier", "kernel_id": "64910"}, {"ref": "akakkilaya/python-randomforestclassifier", "kernel_id": "64982"}, {"ref": "olzhasnu/titanic-best-working-classifier", "kernel_id": "169243"}, {"ref": "wuzhiguo/titanic-data-science-solutions-e3ac45", "kernel_id": "256106"}, {"ref": "bhargavkathivarapu/a-journey-through-titanic", "kernel_id": "105502"}, {"ref": "omerbarsadeh/a-journey-through-titanic-a1eeca4a", "kernel_id": "127525"}, {"ref": "omerbarsadeh/a-journey-through-titanic", "kernel_id": "119236"}, {"ref": "vineetrao123/titanic-competition", "kernel_id": "87179"}, {"ref": "ruzeil/notebooka1f76490fa", "kernel_id": "102191"}, {"ref": "sunkun/titaniclearningqi", "kernel_id": "239803"}, {"ref": "chengzi123/notebook-570b4c10cacdedd9c794", "kernel_id": "67291"}, {"ref": "cody1984/notebook94c1a7f4d9", "kernel_id": "246628"}, {"ref": "cookepm/explorsdd", "kernel_id": "138549"}, {"ref": "cookepm/exploring-survival-on-the-titanic", "kernel_id": "138513"}, {"ref": "sifaserdarozen/notebook-33ae172cee4d7c706e2a", "kernel_id": "61034"}, {"ref": "sifaserdarozen/notebook-8b9ff0ec22cec88b23de", "kernel_id": "61311"}, {"ref": "sifaserdarozen/notebook-5e00d4f087ef1879fcbd", "kernel_id": "61312"}, {"ref": "vionaq/titanic-second-script", "kernel_id": "179796"}, {"ref": "vionaq/titanic-first-script-py", "kernel_id": "177840"}, {"ref": "arunprasad/notebook5ce6cf8d47", "kernel_id": "118013"}, {"ref": "mannyyip/titantic", "kernel_id": "61944"}, {"ref": "beyoglubora/titanic-data-science-solutions", "kernel_id": "215244"}, {"ref": "beyoglubora/notebooke9062fc26b", "kernel_id": "215213"}, {"ref": "liuyihunter/notebook-022d63c9cdee4d5fa91e", "kernel_id": "64498"}, {"ref": "bhavesh09/titanic-prediction", "kernel_id": "222135"}, {"ref": "bhavesh09/titanicprediction", "kernel_id": "222136"}, {"ref": "bhavesh09/titanicsurvivalprediction", "kernel_id": "222139"}, {"ref": "bhavesh09/notebook48fd0dabf0", "kernel_id": "222823"}, {"ref": "bhavesh09/simplemodelbasedongendre", "kernel_id": "227290"}, {"ref": "bhavesh09/randomforesttrial", "kernel_id": "235846"}, {"ref": "bhavesh09/notebookd5589b34b0", "kernel_id": "235760"}, {"ref": "bhavesh09/onemoremodel", "kernel_id": "232133"}, {"ref": "bhavesh09/simple-decision-tree-public-lb-0-80861", "kernel_id": "300118"}, {"ref": "bhavesh09/understanding-of-decision-tree", "kernel_id": "297214"}, {"ref": "bhavesh09/titanic-exploration", "kernel_id": "392991"}, {"ref": "bhavesh09/stacking-example", "kernel_id": "428720"}, {"ref": "bhavesh09/titanic-decision-tree-visual-with-d3-js", "kernel_id": "741952"}, {"ref": "chrisaddy/notebook124cb9b95b", "kernel_id": "268764"}, {"ref": "chrisaddy/titanic-survivr", "kernel_id": "268757"}, {"ref": "fyuanfen/a-journey-through-titanic-20252331", "kernel_id": "103473"}, {"ref": "fyuanfen/notebookbfff86a313", "kernel_id": "103470"}, {"ref": "fyuanfen/kaggle-titanic-001", "kernel_id": "103465"}, {"ref": "reuilb2/as-a-test", "kernel_id": "70668"}, {"ref": "vladsmiljanic/titanic-1-1", "kernel_id": "61679"}, {"ref": "vladsmiljanic/notebook-5ef57e295b16bbed3bdc", "kernel_id": "61674"}, {"ref": "vladsmiljanic/titanic", "kernel_id": "61675"}, {"ref": "takayuki1127/notebookea795b5523", "kernel_id": "109506"}, {"ref": "angler1975/a-journey-through-titanic", "kernel_id": "99026"}, {"ref": "colinleverger/exploring-the-titanic-dataset", "kernel_id": "106831"}, {"ref": "sjkobayashi/notebook4ab9cbe447", "kernel_id": "111007"}, {"ref": "sunrita/a-journey-through-titanic", "kernel_id": "182180"}, {"ref": "gmunoz/notebook0681ffa1df", "kernel_id": "246604"}, {"ref": "temperedmettle/an-interactive-data-science-tutorial", "kernel_id": "211763"}, {"ref": "programng/introduction-to-ensembling-stacking-in-python", "kernel_id": "190118"}, {"ref": "programng/notebook6a37cbe7f9", "kernel_id": "176735"}, {"ref": "programng/titanic-with-logistic-regression", "kernel_id": "176806"}, {"ref": "sathish2987/notebook-813557a985d651672383", "kernel_id": "62005"}, {"ref": "vidmath25/a-journey-through-titanic", "kernel_id": "130115"}, {"ref": "vidmath25/notebook21b2893dd9", "kernel_id": "128532"}, {"ref": "vidmath25/notebook2c6e568193", "kernel_id": "128847"}, {"ref": "chauhanheta/exploring-survival-on-the-titanic", "kernel_id": "143424"}, {"ref": "rosiecampbell/notebooka313533920", "kernel_id": "217762"}, {"ref": "andreaskanel/notebookeb12104221", "kernel_id": "221941"}, {"ref": "andreaskanel/notebook52ce1eac07", "kernel_id": "221968"}, {"ref": "sriranjani/a-journey-through-titanic", "kernel_id": "136962"}, {"ref": "walterblair/titanic-learnin", "kernel_id": "229140"}, {"ref": "hjorturh88/notebook-b61a1f92531d45254bed", "kernel_id": "73481"}, {"ref": "hjorturh88/notebook-b6eb7c2501dd0bde2eed", "kernel_id": "74152"}, {"ref": "hjorturh88/disastrous-data", "kernel_id": "74153"}, {"ref": "get2bpadmana/titanic", "kernel_id": "102741"}, {"ref": "get2bpadmana/titanic-data-exploration", "kernel_id": "102742"}, {"ref": "get2bpadmana/brat-titanic-analysis", "kernel_id": "102752"}, {"ref": "payoub/notebook166319e039", "kernel_id": "211165"}, {"ref": "fuchai/rtitanic", "kernel_id": "120461"}, {"ref": "sanesanjay/python-seaborn-pairplot-example", "kernel_id": "91644"}, {"ref": "sanesanjay/study-of-tree-and-forest-algorithms", "kernel_id": "91645"}, {"ref": "sanesanjay/a-journey-through-titanic-bbc4d094", "kernel_id": "89636"}, {"ref": "sanesanjay/a-journey-through-titanic", "kernel_id": "89630"}, {"ref": "ajinkya97/first-code", "kernel_id": "141859"}, {"ref": "ajinkya97/glmnet-with-feature-engineering", "kernel_id": "146146"}, {"ref": "liuwhoour/myfirstcnnfordigitrecognizer", "kernel_id": "223488"}, {"ref": "chiluvuriskr/ml-titanic", "kernel_id": "179019"}, {"ref": "amylll/notebook688a9ec7f7", "kernel_id": "208933"}, {"ref": "narimiran/exploring-titanic", "kernel_id": "88772"}, {"ref": "narimiran/democracy-in-ml-ensembles", "kernel_id": "88773"}, {"ref": "gauravgupta2k/survival-by-class", "kernel_id": "170987"}, {"ref": "mdlee6/a-journey-through-titanic", "kernel_id": "134071"}, {"ref": "muhlenjj/notebookabfcd141ae", "kernel_id": "219587"}, {"ref": "xchans/notebook-5cc835561f9a74262c6d", "kernel_id": "62211"}, {"ref": "xchans/notebook-915d90179adec83d39b7", "kernel_id": "62313"}, {"ref": "xchans/notebook-39f369060f800f8439e2", "kernel_id": "62314"}, {"ref": "xchans/notebook-fedf8b0e3a690c8b7601", "kernel_id": "62315"}, {"ref": "ambika04/notebookc9c075bedb", "kernel_id": "211585"}, {"ref": "ambika04/titanic", "kernel_id": "211995"}, {"ref": "ambika04/titanic4", "kernel_id": "211996"}, {"ref": "ambika04/notebook031d764e41", "kernel_id": "212087"}, {"ref": "ambika04/notebookb07b42c356", "kernel_id": "262674"}, {"ref": "anishanalytics/oscar-wala-actor-leo", "kernel_id": "94676"}, {"ref": "alexhanbing2016/notebook6674ef37c3", "kernel_id": "242586"}, {"ref": "alexhanbing2016/notebook8a5de440e2", "kernel_id": "242139"}, {"ref": "alexhanbing2016/an-interactive-data-science-tutorial", "kernel_id": "242140"}, {"ref": "chrisneb/titanic", "kernel_id": "76578"}, {"ref": "chrisneb/a-journey-through-titanic", "kernel_id": "76579"}, {"ref": "nourgalaby/notebook-2df088e1240cfedc1d2e", "kernel_id": "62045"}, {"ref": "saidunoyer/titanic-challenge", "kernel_id": "224145"}, {"ref": "chrome787/notebook-6b33d4684baf5316849c", "kernel_id": "62063"}, {"ref": "wolong/2016-05-24-step-1", "kernel_id": "65910"}, {"ref": "scubadiver007/notebook-0cfe569c36dfb6cdccb6", "kernel_id": "68709"}, {"ref": "scubadiver007/notebook-316da73b717361de52b6", "kernel_id": "68710"}, {"ref": "gilsonfaria/notebook-42574c9a313fabc4fcfb", "kernel_id": "71186"}, {"ref": "gilsonfaria/script-test", "kernel_id": "71273"}, {"ref": "gilsonfaria/sex-and-name-conversion", "kernel_id": "72435"}, {"ref": "gilsonfaria/script3-title-dummies", "kernel_id": "72655"}, {"ref": "gilsonfaria/script4-removepassengerid", "kernel_id": "80489"}, {"ref": "gilsonfaria/script4-boolsibsp-parch", "kernel_id": "80492"}, {"ref": "gilsonfaria/script3-2-correction", "kernel_id": "80519"}, {"ref": "gilsonfaria/script4-sorttest", "kernel_id": "80517"}, {"ref": "gilsonfaria/mykernel", "kernel_id": "80525"}, {"ref": "gilsonfaria/scriptfinal", "kernel_id": "85730"}, {"ref": "gilsonfaria/script-6-fare", "kernel_id": "85770"}, {"ref": "rahmanizadeh/exploring-survival-on-the-titanic", "kernel_id": "100685"}, {"ref": "rajkmaurya111/notebookc55c58842b", "kernel_id": "223222"}, {"ref": "trustmeimadoctor/titanic-script", "kernel_id": "62525"}, {"ref": "swatipatel/testscript", "kernel_id": "62219"}, {"ref": "miketan516/notebookea4183f624", "kernel_id": "276881"}, {"ref": "miketan516/notebookbeea1e7eaf", "kernel_id": "276939"}, {"ref": "slompo/teste", "kernel_id": "63003"}, {"ref": "dungpt3003/a-journey-through-titanic", "kernel_id": "188512"}, {"ref": "hotham/a-journey-through-titanic-2", "kernel_id": "147273"}, {"ref": "paullastname/test-script", "kernel_id": "99074"}, {"ref": "paullastname/test-python-template", "kernel_id": "93202"}, {"ref": "paullastname/template", "kernel_id": "78001"}, {"ref": "paullastname/notebook-0750632cb39bd722b128", "kernel_id": "76772"}, {"ref": "paullastname/notebook-ce9cbdb006d32f72b330", "kernel_id": "76773"}, {"ref": "paullastname/notebook7898587f05", "kernel_id": "121975"}, {"ref": "paullastname/test-titanic", "kernel_id": "121976"}, {"ref": "oluwadara/a-journey-through-titanic", "kernel_id": "107966"}, {"ref": "tasugi/test-py", "kernel_id": "72293"}, {"ref": "giannismo/notebook36324b1a75", "kernel_id": "122549"}, {"ref": "giannismo/exploring-survival-on-the-titanic", "kernel_id": "122550"}, {"ref": "stasiekabyszkin/notebook-6216681599f5a5be6b82", "kernel_id": "72812"}, {"ref": "stasiekabyszkin/study-of-tree-and-forest-algorithms", "kernel_id": "72790"}, {"ref": "stasiekabyszkin/an-interactive-data-science-tutorial", "kernel_id": "183866"}, {"ref": "shilpig/notebook6b8d772904", "kernel_id": "215597"}, {"ref": "hodzanassredin/notebook86102f93f0", "kernel_id": "109515"}, {"ref": "adityamnk/notebook7217390725", "kernel_id": "175580"}, {"ref": "adityamnk/my-titanic-tutorial", "kernel_id": "175583"}, {"ref": "adityamnk/a-journey-through-titanic", "kernel_id": "173407"}, {"ref": "anshbansal/test-123", "kernel_id": "431378"}, {"ref": "roxannef/notebook6d0af8b012", "kernel_id": "98872"}, {"ref": "avikmukherjee/titanic-data-science-solutions-ed0334", "kernel_id": "240268"}, {"ref": "jeffreypage/titanic-data-exploration", "kernel_id": "218678"}, {"ref": "ianvince/notebook9ac0ecba4e", "kernel_id": "94796"}, {"ref": "ianvince/notebookf11a9b2f96", "kernel_id": "94805"}, {"ref": "ianvince/notebook92f19c5fa4", "kernel_id": "93673"}, {"ref": "ianvince/notebook795f26d492", "kernel_id": "93663"}, {"ref": "adeshpande3/simple-k-nearest-neighbors-for-titanic-challenge", "kernel_id": "111031"}, {"ref": "adeshpande3/notebookf09df1a2ea", "kernel_id": "110372"}, {"ref": "mkfmiku/introduction-to-ensembling-stacking-in-python", "kernel_id": "222190"}, {"ref": "mortmogh/notebook6da7eaa492", "kernel_id": "273963"}, {"ref": "darenz0u/titanic-3", "kernel_id": "68865"}, {"ref": "darenz0u/titanic-2", "kernel_id": "68860"}, {"ref": "darenz0u/titanic-model-i", "kernel_id": "65847"}, {"ref": "joeymo/notebook-ddf4cff74daa77e35811", "kernel_id": "63391"}, {"ref": "joeymo/notebook-7e504f0604fbdfe771c6", "kernel_id": "63388"}, {"ref": "joeymo/xgboost-example-python", "kernel_id": "77100"}, {"ref": "shiv1410/notebook71ec00a7b1", "kernel_id": "218158"}, {"ref": "pydevhacker/savepassengers", "kernel_id": "64293"}, {"ref": "pydevhacker/notebook-0ebcbf27a6ae8fa67311", "kernel_id": "64294"}, {"ref": "pydevhacker/notebook-b724ffbf279d4324072a", "kernel_id": "65616"}, {"ref": "pydevhacker/notebook-9402f02894eb9e529aec", "kernel_id": "65589"}, {"ref": "pydevhacker/notebook-520f0c78e7e4e3fbc9b9", "kernel_id": "65590"}, {"ref": "pydevhacker/notebook-1dc66b38bc6531850ce4", "kernel_id": "65593"}, {"ref": "pydevhacker/notebook-84e62b632d735e095b78", "kernel_id": "65597"}, {"ref": "pydevhacker/titanic-journey", "kernel_id": "98980"}, {"ref": "willacy/notebook9a2465b516", "kernel_id": "98223"}, {"ref": "willacy/exploratory-tutorial-titanic", "kernel_id": "109710"}, {"ref": "willacy/a-journey-through-titanic", "kernel_id": "103976"}, {"ref": "willacy/exploratory-tutorial-titanic-eca2442c", "kernel_id": "112272"}, {"ref": "algaddis/a-journey-through-titanic", "kernel_id": "62966"}, {"ref": "divyabudale/conditional-inference-tree-model-titanic", "kernel_id": "116900"}, {"ref": "simongraham5/a-journey-through-titanic", "kernel_id": "183415"}, {"ref": "simongraham5/a-journey-through-titanic-2c13f2c7", "kernel_id": "183417"}, {"ref": "otwmoo/notebook-da32cb5fde69b019424a", "kernel_id": "66095"}, {"ref": "otwmoo/notebook-c7225e46b724f5d48885", "kernel_id": "66116"}, {"ref": "otwmoo/notebook-a97eb6e83503cb64c8bc", "kernel_id": "65094"}, {"ref": "otwmoo/notebook-d9e4a8af9a15528d6382", "kernel_id": "65104"}, {"ref": "otwmoo/notebook-385bc4e86cad41087ff5", "kernel_id": "63394"}, {"ref": "otwmoo/notebook-812d2384186a42db4bf2", "kernel_id": "63380"}, {"ref": "otwmoo/notebook-8a86645d2abba83685ff", "kernel_id": "63375"}, {"ref": "otwmoo/notebook-15c8e0ef407b986027f0", "kernel_id": "63376"}, {"ref": "otwmoo/notebook-12bd65df3dbcedf754dc", "kernel_id": "63296"}, {"ref": "otwmoo/notebook-ec9df13c7daf0a2fb8f9", "kernel_id": "63297"}, {"ref": "otwmoo/notebook-8ee474fb864c626d08ba", "kernel_id": "63298"}, {"ref": "otwmoo/notebook-3e2b9d6acd0be0921431", "kernel_id": "63542"}, {"ref": "surajpai/titanic-random-forest-implementation", "kernel_id": "64938"}, {"ref": "surajpai/notebook-d83eb67a5e9c93436072", "kernel_id": "64939"}, {"ref": "timothychenallen/titanic-r-randomforest", "kernel_id": "65447"}, {"ref": "dipeshg/first-run", "kernel_id": "65421"}, {"ref": "dipeshg/run123", "kernel_id": "65428"}, {"ref": "dipeshg/runner", "kernel_id": "65429"}, {"ref": "amitgoswami/titanic-predictions", "kernel_id": "78717"}, {"ref": "dudhathimani/titanic-1", "kernel_id": "63164"}, {"ref": "shivi2909/titanic-rolling-in-the-deep", "kernel_id": "207715"}, {"ref": "awildeman/a-journey-through-titanic", "kernel_id": "99732"}, {"ref": "yanzhensong/notebook-eb60e7122082c68c4e25", "kernel_id": "65165"}, {"ref": "alanmbarr/notebook5556a8e3fc", "kernel_id": "106365"}, {"ref": "aantonets/notebook215104b23b", "kernel_id": "205807"}, {"ref": "qianws/notebook6e7a0b1f06", "kernel_id": "89555"}, {"ref": "qianws/first-trial-kaggle", "kernel_id": "89557"}, {"ref": "zaczou/notebook-6214c04fc91899f7b380", "kernel_id": "74005"}, {"ref": "zaczou/study-of-tree-and-forest-algorithms", "kernel_id": "74048"}, {"ref": "dilipajm/titanic-survivors-ann", "kernel_id": "373033"}, {"ref": "smirnovam/lucky-tickets", "kernel_id": "70092"}, {"ref": "kaboroevich/test00-noidea", "kernel_id": "63416"}, {"ref": "kaboroevich/notebook-f6abe49c2ed372198363", "kernel_id": "64301"}, {"ref": "rayed19/titanic", "kernel_id": "67972"}, {"ref": "rayed19/notebook-7e25c22c0803d549e40c", "kernel_id": "67999"}, {"ref": "rayed19/notebook-979350e16d7eb0d59148", "kernel_id": "68090"}, {"ref": "zhigeng/newss", "kernel_id": "66012"}, {"ref": "zhigeng/study-of-tree-and-forest-algorithms", "kernel_id": "66008"}, {"ref": "penghou/titanic-machine-learning-from-disaster", "kernel_id": "239499"}, {"ref": "mrwelch3345/a-journey-through-titanic", "kernel_id": "101726"}, {"ref": "mldm16fe/mytest051603", "kernel_id": "63685"}, {"ref": "mldm16fe/preliminary-exploration", "kernel_id": "63647"}, {"ref": "mldm16fe/notebook-f6c398a363cd043ce2a1", "kernel_id": "63648"}, {"ref": "mldm16fe/notebook-b7663415d6626bb0ec00", "kernel_id": "63649"}, {"ref": "mldm16fe/study-of-tree-and-forest-algorithms", "kernel_id": "63650"}, {"ref": "mldm16fe/myfirst", "kernel_id": "63654"}, {"ref": "mldm16fe/notebook-9d6f98d943c5e3684069", "kernel_id": "63674"}, {"ref": "mldm16fe/titanic", "kernel_id": "63675"}, {"ref": "mkfwyy/kftest", "kernel_id": "72195"}, {"ref": "mkfwyy/notebook6d0a84899d", "kernel_id": "221154"}, {"ref": "mkfwyy/notebook40ce2a3796", "kernel_id": "221203"}, {"ref": "mkfwyy/introduction-to-ensembling-stacking-in-pyth-1c5151", "kernel_id": "217227"}, {"ref": "mkfwyy/a-journey-through-titanic", "kernel_id": "217214"}, {"ref": "mkfwyy/notebook88d54ac3aa", "kernel_id": "217195"}, {"ref": "sugirthapaulraj/notebook-b5a277f9bcdfd7b195f2", "kernel_id": "63744"}, {"ref": "starxuan/titanic-best-working-classifier", "kernel_id": "138321"}, {"ref": "erikschafer/titanic-data-solutions-tutorial", "kernel_id": "222267"}, {"ref": "ccortes492/notebooka910064e78", "kernel_id": "106191"}, {"ref": "ccortes492/notebook303631dc00", "kernel_id": "264093"}, {"ref": "kporterf/titanic", "kernel_id": "63788"}, {"ref": "billfreeman44/titanic-basics", "kernel_id": "817239"}, {"ref": "abizerjafferjee/notebook-4e3b5c39f58d77df0633", "kernel_id": "75569"}, {"ref": "tx210sii/notebook-ddc812bae3354214f3c9", "kernel_id": "63842"}, {"ref": "chanypark/notebook-e0ce21431c5e2d94d0e3", "kernel_id": "63845"}, {"ref": "tiagochaves/notebook-8340f9f1a8ca1de573b2", "kernel_id": "65463"}, {"ref": "tiagochaves/teste", "kernel_id": "65461"}, {"ref": "kevimwe/titanic-exploratory-data-analysis", "kernel_id": "890082"}, {"ref": "akhilgarg7/installed-r-packages", "kernel_id": "68306"}, {"ref": "simonm3/notebook-342ac13e15d8e5e15782", "kernel_id": "66809"}, {"ref": "simonm3/notebook-1c2d46aa951144211443", "kernel_id": "66807"}, {"ref": "agvccc/notebook2d4e13f68a", "kernel_id": "135776"}, {"ref": "agvccc/a-journey-through-titanic", "kernel_id": "135767"}, {"ref": "agvccc/notebookc84c0ae98f", "kernel_id": "135801"}, {"ref": "agvccc/notebook318bc7998c", "kernel_id": "136034"}, {"ref": "agvccc/notebooke53123f9f9", "kernel_id": "136037"}, {"ref": "derekpyne/notebook-c4fa147c169202c670c8", "kernel_id": "72857"}, {"ref": "derekpyne/notebook-37e7f7642bdbb2f50001", "kernel_id": "72858"}, {"ref": "cassiommpereira/notebookf00499643f", "kernel_id": "169913"}, {"ref": "richasharma08/notebook367ca8f909", "kernel_id": "150979"}, {"ref": "jorlando/a-journey-through-titanic", "kernel_id": "163341"}, {"ref": "smzimran/first-kernel-learning-from-disaster-titanic", "kernel_id": "425192"}, {"ref": "davidecaldara/first-attempt", "kernel_id": "64102"}, {"ref": "mgfischer/titanic-data-analysis", "kernel_id": "109428"}, {"ref": "mgfischer/notebook33978ff33f", "kernel_id": "108736"}, {"ref": "mgfischer/naive-bayes-script", "kernel_id": "112754"}, {"ref": "mgfischer/notebook753160214d", "kernel_id": "112719"}, {"ref": "mgfischer/titanic-competition-code", "kernel_id": "114728"}, {"ref": "mgfischer/python-tutorial-algo-1", "kernel_id": "113862"}, {"ref": "mgfischer/python-tutorial-algo-2", "kernel_id": "113868"}, {"ref": "mgfischer/svm-split-by-gender", "kernel_id": "279148"}, {"ref": "daign836/notebook-8caf851b0661bcbf2792", "kernel_id": "75282"}, {"ref": "simmerchan/notebookdbc9193ddd", "kernel_id": "203565"}, {"ref": "gayers/a-journey-through-titanic", "kernel_id": "88866"}, {"ref": "satyarthnegi/a-journey-through-titanic", "kernel_id": "118110"}, {"ref": "chemjong/titanic-survival-prediction", "kernel_id": "81210"}, {"ref": "chemjong/notebook-bab07ed57b70112ff5ca", "kernel_id": "81186"}, {"ref": "chemjong/notebook-10f473058ac2cc5678a5", "kernel_id": "81133"}, {"ref": "chemjong/notebook-181c0a9ea17903345180", "kernel_id": "81135"}, {"ref": "chemjong/notebook-1e17268c649f0f210ef7", "kernel_id": "81136"}, {"ref": "chemjong/notebook-c5b9f4107f255bb82ecc", "kernel_id": "81131"}, {"ref": "chemjong/first-scrip-in-r", "kernel_id": "75722"}, {"ref": "chemjong/test0001", "kernel_id": "75715"}, {"ref": "chemjong/missing-values-data-exploration-and-prediction", "kernel_id": "158209"}, {"ref": "chemjong/exploring-survival-on-the-titanic", "kernel_id": "158211"}, {"ref": "joshim/notebook4d086225d8", "kernel_id": "98947"}, {"ref": "joshim/basic-model-using-pandas-and-sklearn", "kernel_id": "98752"}, {"ref": "longxingol/notebook639ec5b659", "kernel_id": "111354"}, {"ref": "longxingol/notebook3a7fb0037f", "kernel_id": "159912"}, {"ref": "longxingol/notebook3c0d33c7e6", "kernel_id": "243660"}, {"ref": "praveenky/notebook-236eed6ce650391a459e", "kernel_id": "68882"}, {"ref": "prokil/a-journey-through-titanic", "kernel_id": "90493"}, {"ref": "dazongshi/titanic-data-science-solutions", "kernel_id": "382260"}, {"ref": "sofmonk/a-journey-through-titanic", "kernel_id": "181723"}, {"ref": "sofmonk/exploratory-tutorial-titanic", "kernel_id": "188772"}, {"ref": "sofmonk/a-journey-through-titanic-c52982", "kernel_id": "188759"}, {"ref": "sofmonk/a-journey-through-titanic-31cd97", "kernel_id": "188614"}, {"ref": "sofmonk/a-journey-through-titanic-5ca86b", "kernel_id": "188532"}, {"ref": "sofmonk/a-journey-through-titanic-2bacca", "kernel_id": "188527"}, {"ref": "mbaltus/kaggle-titanic-001", "kernel_id": "117313"}, {"ref": "llliush/a-journey-through-titanic", "kernel_id": "172479"}, {"ref": "lizardgreen/a-journey-through-titanic", "kernel_id": "105757"}, {"ref": "justsung/notebook-3ae2c86e3b0e3d9c53a6", "kernel_id": "68424"}, {"ref": "justsung/notebook-a960ac6eed2c46225f00", "kernel_id": "68425"}, {"ref": "justsung/study-of-tree-and-forest-algorithms", "kernel_id": "68417"}, {"ref": "voyageth/notebookd6a80e6708", "kernel_id": "150268"}, {"ref": "voyageth/titanic-machine-learning-from-disaster", "kernel_id": "145604"}, {"ref": "bheath/notebook-90e98dbf1f5b5d92c9c5", "kernel_id": "64507"}, {"ref": "bheath/notebook-ea89df152ed3201e8a2d", "kernel_id": "64508"}, {"ref": "daisong/titanic", "kernel_id": "64518"}, {"ref": "akholia/titanic-machine-learning-from-disaster", "kernel_id": "260886"}, {"ref": "ankitakalra/titanic-data-science-solutions", "kernel_id": "235327"}, {"ref": "manikkumar/notebook-c9241ba554c2e4195c07", "kernel_id": "84752"}, {"ref": "manikkumar/a-journey-through-titanic", "kernel_id": "85078"}, {"ref": "manikkumar/notebook-156df6f59dbf037ac490", "kernel_id": "85076"}, {"ref": "manikkumar/notebook-60aa3802d283e95d0e5e", "kernel_id": "75757"}, {"ref": "manikkumar/notebook-a612e429c93c6dccac29", "kernel_id": "75758"}, {"ref": "manikkumar/notebook-ac6f15f3d1d21d82673e", "kernel_id": "66167"}, {"ref": "chelimin/titanic-with-datacamp", "kernel_id": "201582"}, {"ref": "chelimin/titanic-testing", "kernel_id": "108869"}, {"ref": "ameyapandilwar/titanic-machine-learning-from-disaster", "kernel_id": "236134"}, {"ref": "florabigdata/notebook50f3c1ae66", "kernel_id": "111975"}, {"ref": "lhy9381/notebook-08f535fc985bc1628c84", "kernel_id": "82653"}, {"ref": "aevinq/a-journey-through-titanic", "kernel_id": "147494"}, {"ref": "aevinq/notebookb78a54c868", "kernel_id": "147320"}, {"ref": "rahvirao/my-first-project", "kernel_id": "266532"}, {"ref": "rahvirao/my-first-kaggle-project", "kernel_id": "266538"}, {"ref": "rahvirao/notebookdb42ca2704", "kernel_id": "232744"}, {"ref": "rahvirao/notebook7d92c757c7", "kernel_id": "233582"}, {"ref": "ritheshsb/titanic-first-dataset-on-kaggle", "kernel_id": "166150"}, {"ref": "darquesm/running-mlbox-auto-ml-package-on-titanic", "kernel_id": "321996"}, {"ref": "song751/titanic", "kernel_id": "74825"}, {"ref": "song751/notebook-b7e6fa5edc3424d7abe2", "kernel_id": "74826"}, {"ref": "vanessacarmean/titantic", "kernel_id": "64805"}, {"ref": "xdli05/study-of-tree-and-forest-algorithms", "kernel_id": "66654"}, {"ref": "xdli05/preliminary-exploration", "kernel_id": "66656"}, {"ref": "xdli05/titanic-solution", "kernel_id": "65837"}, {"ref": "scrubber/notebook083951efb6", "kernel_id": "223485"}, {"ref": "wuweichina/titanic", "kernel_id": "79564"}, {"ref": "jvaldiviezo/test1", "kernel_id": "206134"}, {"ref": "rogerhuang/qqqqq", "kernel_id": "66659"}, {"ref": "rkakkad/notebook658c82566a", "kernel_id": "177091"}, {"ref": "rkakkad/surviving-the-titanic-using-randomforest", "kernel_id": "177114"}, {"ref": "rkakkad/notebooked52297ef2", "kernel_id": "175754"}, {"ref": "maielld1/titanic-dataquest-tutorial", "kernel_id": "100697"}, {"ref": "maielld1/notebook-3056100c1d3275b38b57", "kernel_id": "74243"}, {"ref": "snsharma/notebookacc2804630", "kernel_id": "184209"}, {"ref": "nathanli3636/titanic-crash-test", "kernel_id": "81129"}, {"ref": "sylvie38660/exploring-survival-on-the-titanic", "kernel_id": "67021"}, {"ref": "sahilg/exploring-and-predicting-titanic-dataset", "kernel_id": "177966"}, {"ref": "hudsonsantos/notebook9a7ca60d1f", "kernel_id": "213498"}, {"ref": "shlsumy/11bbb", "kernel_id": "101046"}, {"ref": "shlsumy/nnnnn", "kernel_id": "101047"}, {"ref": "danielchalef/notebook-8699b101b393f8240de2", "kernel_id": "65074"}, {"ref": "zellint/mytest", "kernel_id": "65839"}, {"ref": "tjgerot/main-py", "kernel_id": "87533"}, {"ref": "tjgerot/notebook7f7dbe11d1", "kernel_id": "87534"}, {"ref": "tjgerot/titanic-script", "kernel_id": "87535"}, {"ref": "tjgerot/firsttry", "kernel_id": "102374"}, {"ref": "siniy80/notebook1cffccc913", "kernel_id": "208750"}, {"ref": "siniy80/notebookb05bbed0b5", "kernel_id": "208752"}, {"ref": "rakshparmar/an-interactive-data-science-tutorial", "kernel_id": "263492"}, {"ref": "rakshparmar/titanicsurvical", "kernel_id": "263504"}, {"ref": "fuqqra/performance-comparison-of-different-estimators", "kernel_id": "95925"}, {"ref": "harsha652/exploring-survival-on-the-titanic", "kernel_id": "65403"}, {"ref": "frankherfert/titanic-random-forest-82-78", "kernel_id": "181169"}, {"ref": "edwardtsai/notebook9c100b7c5e", "kernel_id": "98577"}, {"ref": "dylanmr/notebook-d3214c2b35465decf8be", "kernel_id": "65702"}, {"ref": "dylanmr/titanic", "kernel_id": "65703"}, {"ref": "dylanmr/notebook-e2512a55fe62a2dcd8e0", "kernel_id": "65698"}, {"ref": "dylanmr/notebook-af161fdba9cc52b7b374", "kernel_id": "65792"}, {"ref": "dylanmr/notebook-9251b0368812a8f12db1", "kernel_id": "65793"}, {"ref": "dylanmr/notebook-9f09eec1035cbf8bd384", "kernel_id": "65805"}, {"ref": "dylanmr/notebook-7e2b08bd5fc438988ea5", "kernel_id": "65773"}, {"ref": "dylanmr/notebook-083f4203c8414f1ebee7", "kernel_id": "65774"}, {"ref": "dylanmr/notebook-1b05229c5e896ace735a", "kernel_id": "65757"}, {"ref": "dylanmr/notebook-c41c0e14120a4541110a", "kernel_id": "67883"}, {"ref": "dylanmr/notebook-8fe41abe496538472406", "kernel_id": "67884"}, {"ref": "dylanmr/notebook-16dba21406ff1e6c3703", "kernel_id": "67889"}, {"ref": "dylanmr/notebook-18cde2e3b8719a3df78a", "kernel_id": "67890"}, {"ref": "dylanmr/notebook-14b871d9355b48389f35", "kernel_id": "67878"}, {"ref": "dylanmr/notebook-652d8bb923e2be0fcfb7", "kernel_id": "67933"}, {"ref": "dylanmr/notebook-b5515ac907709e3196d1", "kernel_id": "67934"}, {"ref": "atmaks/titanic-predictions", "kernel_id": "204923"}, {"ref": "qiaohaoforever/titanic1", "kernel_id": "300174"}, {"ref": "claudiu/classification-tree", "kernel_id": "65474"}, {"ref": "claudiu/notebook-6a3685cc317b91854073", "kernel_id": "66756"}, {"ref": "claudiu/titanic-analysis", "kernel_id": "65995"}, {"ref": "vankads/a-journey-through-titanic", "kernel_id": "106554"}, {"ref": "sidhs77/first-entry", "kernel_id": "400821"}, {"ref": "trqj999/introduction-to-ensembling-stacking-in-python", "kernel_id": "189382"}, {"ref": "haydenrabel/notebook-e7dd2082b2ffa0d7eac2", "kernel_id": "67549"}, {"ref": "alexatomei/test-script", "kernel_id": "65996"}, {"ref": "melintemada/random-forest", "kernel_id": "66358"}, {"ref": "wumpwump/notebook0c333a42b7", "kernel_id": "214104"}, {"ref": "wumpwump/learning-to-how-to-kaggle", "kernel_id": "214109"}, {"ref": "zubairahmed/titanic-data-science-solutions", "kernel_id": "220917"}, {"ref": "zubairahmed/an-interactive-data-science-tutorial", "kernel_id": "220344"}, {"ref": "zubairahmed/titanic-best-working-classifier", "kernel_id": "222054"}, {"ref": "zubairahmed/a-journey-through-titanic", "kernel_id": "224503"}, {"ref": "ssu008/study-of-tree-and-forest-algorithms", "kernel_id": "99068"}, {"ref": "sorensen/00-start", "kernel_id": "72168"}, {"ref": "praveen0989/first-script", "kernel_id": "69490"}, {"ref": "praveen0989/notebook-806a5e1596c14931ea3b", "kernel_id": "75425"}, {"ref": "richardbanh/titanic-notebook-1", "kernel_id": "111274"}, {"ref": "lichengqi/a-journey-through-titanic", "kernel_id": "166647"}, {"ref": "elvisilunga/notebookebeead737f", "kernel_id": "148891"}, {"ref": "nccu104971020/notebook-1694ee25b6baa4a16362", "kernel_id": "66149"}, {"ref": "heidoji/notebook-4bc8348798828d487e3e", "kernel_id": "67296"}, {"ref": "heidoji/notebook-12e2038a4e5a0aec0a26", "kernel_id": "67258"}, {"ref": "hailiangren/a-journey-through-titanic-tarrence", "kernel_id": "87188"}, {"ref": "hailiangren/notebook9e6b8fc031", "kernel_id": "87192"}, {"ref": "hailiangren/a-journey-through-titanic-11ea5b5d", "kernel_id": "87229"}, {"ref": "rahulab/a-journey-through-titanic", "kernel_id": "88217"}, {"ref": "virusandy/notebook-b79f399a32c479a4334c", "kernel_id": "81230"}, {"ref": "virusandy/notebook-c585dcc8080bbcb6d58d", "kernel_id": "81231"}, {"ref": "virusandy/notebook-605bbe67eedd0b96b011", "kernel_id": "81289"}, {"ref": "virusandy/notebook-42bf7d5beb40f6126d8a", "kernel_id": "81290"}, {"ref": "virusandy/test-notebook-not-for-competition", "kernel_id": "81026"}, {"ref": "virusandy/notebook-b3cca707bd62ed4eaaad", "kernel_id": "81034"}, {"ref": "kkitase/notebook-83d78dc07f233b4d098c", "kernel_id": "66033"}, {"ref": "kkitase/kkitase-1", "kernel_id": "66034"}, {"ref": "kkitase/notebook-1c5bb2ad040dcae959dc", "kernel_id": "66035"}, {"ref": "veerbajaj/notebook-e786a2974786a45a142b", "kernel_id": "80974"}, {"ref": "veerbajaj/bmjbn", "kernel_id": "80977"}, {"ref": "veerbajaj/notebook-743edbaec252561857c4", "kernel_id": "80978"}, {"ref": "veerbajaj/titanic-survival-exploration", "kernel_id": "80970"}, {"ref": "veerbajaj/notebook-c664ecd61115777f78e8", "kernel_id": "81153"}, {"ref": "tetevi/notebookc45bb8fe20", "kernel_id": "98035"}, {"ref": "zolasiyo/summary-1", "kernel_id": "65758"}, {"ref": "zolasiyo/exploring-survival-on-the-titanic", "kernel_id": "65756"}, {"ref": "mtytus/titanic-first-project", "kernel_id": "242781"}, {"ref": "rajiv1990/titanic-notebook", "kernel_id": "168348"}, {"ref": "liaoxun1227/notebook87c050db7f", "kernel_id": "96674"}, {"ref": "liaoxun1227/titanic", "kernel_id": "96657"}, {"ref": "ark2393/titanic-survival-forecast-a-first-kaggle-submit", "kernel_id": "229864"}, {"ref": "goodwinc/scikit-learn-ml-from-start-to-finish", "kernel_id": "219333"}, {"ref": "goodwinc/scikit-learn-ml-from-start-to-finish-347531", "kernel_id": "233481"}, {"ref": "jkittler/titanic", "kernel_id": "122873"}, {"ref": "americandesi/a-journey-through-titanic", "kernel_id": "90660"}, {"ref": "finlay/introduction-to-ensembling-stacking-in-python", "kernel_id": "192772"}, {"ref": "droid732545/titanic", "kernel_id": "263640"}, {"ref": "gaoyu67/titanic-data-science-solutions", "kernel_id": "256596"}, {"ref": "akrsrivastava/simple-data-exploration-and-xgboost", "kernel_id": "92721"}, {"ref": "baleia/firsttry", "kernel_id": "110497"}, {"ref": "cbcb1209/test-one-two-three", "kernel_id": "66369"}, {"ref": "besttinaes/titanicjuly2016", "kernel_id": "82240"}, {"ref": "venkatalaxmi/titanic-r", "kernel_id": "65956"}, {"ref": "arodionoff/the-first-python-code-knn-classifier", "kernel_id": "69812"}, {"ref": "omarhosny/titanic", "kernel_id": "66073"}, {"ref": "reemii/titanic", "kernel_id": "66233"}, {"ref": "luizpellegrini/notebookc25cdc7665", "kernel_id": "139903"}, {"ref": "phinny/notebook39ec16a945", "kernel_id": "102963"}, {"ref": "argsno/notebookb3da4ba548", "kernel_id": "166847"}, {"ref": "argsno/notebook98e6ec6ca6", "kernel_id": "121897"}, {"ref": "vinayhp83/titanic-data-science-solutions", "kernel_id": "175694"}, {"ref": "chengshenggan/a-journey-through-titanic", "kernel_id": "127427"}, {"ref": "konpats/testrun", "kernel_id": "66191"}, {"ref": "evgenid/a-journey-through-titanic", "kernel_id": "195289"}, {"ref": "evgenid/my-titanic-python-notebook", "kernel_id": "195282"}, {"ref": "vbirbal/titanic-practice", "kernel_id": "279645"}, {"ref": "cdedieu/random-forest-benchmark-r", "kernel_id": "66285"}, {"ref": "cdedieu/random-forest-benchmark-rddd", "kernel_id": "66294"}, {"ref": "cdedieu/random-forest-benchmark-rddd-1", "kernel_id": "66295"}, {"ref": "cdedieu/notebook-41c42b3c47694d791ee8", "kernel_id": "66309"}, {"ref": "pascal2b/notebook-a5121f3c18688414eba3", "kernel_id": "66314"}, {"ref": "narayanmahto/notebookbe0a48ee82", "kernel_id": "174895"}, {"ref": "samueldarkblade/teseting", "kernel_id": "162124"}, {"ref": "raghavrv/sklearn-rf-s-new-missing-val-support", "kernel_id": "77842"}, {"ref": "biancaelder/notebook-41097f51e4c81c4f5076", "kernel_id": "85011"}, {"ref": "ybping/titanics", "kernel_id": "100131"}, {"ref": "arielis/titanic-data-science-solutions", "kernel_id": "205883"}, {"ref": "oklimova/tengs-titanic-notebook", "kernel_id": "70170"}, {"ref": "oklimova/random-forest-benchmark-r", "kernel_id": "70154"}, {"ref": "oklimova/titanic", "kernel_id": "70158"}, {"ref": "pierrebousquie/testing", "kernel_id": "66372"}, {"ref": "theodorebloom/notebook-9a86974f0ea7c230eb23", "kernel_id": "66409"}, {"ref": "theodorebloom/notebook-ac86b49f288e04be31bb", "kernel_id": "66407"}, {"ref": "wolfcastle21/titanictest", "kernel_id": "66431"}, {"ref": "cyang019/predict-survival-rate", "kernel_id": "111440"}, {"ref": "sunouchi/notebookbc71901d54", "kernel_id": "258035"}, {"ref": "sunouchi/titanic", "kernel_id": "257470"}, {"ref": "imnair/notebook-082784e00c564b5787ee", "kernel_id": "73852"}, {"ref": "goutham794/an-interactive-data-science-tutorial", "kernel_id": "169498"}, {"ref": "tejank10/notebook098b949aa0", "kernel_id": "146126"}, {"ref": "tejank10/notebook4b5c1c00f1", "kernel_id": "132816"}, {"ref": "a654653361/a-journey-through-titanic", "kernel_id": "191726"}, {"ref": "a654653361/titanic-random-forest-82-78", "kernel_id": "193134"}, {"ref": "pozharsky/notebook-767fdd5ca721da11dfdb", "kernel_id": "70460"}, {"ref": "bhanupal/a-journey-through-titanic", "kernel_id": "181627"}, {"ref": "bhanupal/notebook4bb857a3e3", "kernel_id": "225178"}, {"ref": "bhanupal/titanic-data-science-solutions-c11433", "kernel_id": "227370"}, {"ref": "bhanupal/notebook6460df62ec", "kernel_id": "226495"}, {"ref": "pipehappy/titanic-data-science-solutions", "kernel_id": "290732"}, {"ref": "abedben/titanic-test", "kernel_id": "73067"}, {"ref": "abedben/exploring-survival-on-the-titanic", "kernel_id": "93850"}, {"ref": "abedben/testing-svm-classifier", "kernel_id": "94107"}, {"ref": "hugoallard/notebook-123089f66fd28df87767", "kernel_id": "66604"}, {"ref": "itaibl/kaggle-titanic-tutorial-passing-82-part-1", "kernel_id": "411052"}, {"ref": "emirkuljanin/notebook993db8893f", "kernel_id": "229484"}, {"ref": "nnp2329/afevee", "kernel_id": "67063"}, {"ref": "kidman007/notebook5eacb8d02c", "kernel_id": "257955"}, {"ref": "orpheus/notebook-b7342654cf75941fce24", "kernel_id": "66815"}, {"ref": "dabaker/it-had-to-be-done-titanic-competition", "kernel_id": "666290"}, {"ref": "jeevanm/titanic", "kernel_id": "153042"}, {"ref": "lopus83/logreg", "kernel_id": "175597"}, {"ref": "jspaine/titanic-survivors", "kernel_id": "151984"}, {"ref": "shaktidas/a-journey-through-titanic", "kernel_id": "91766"}, {"ref": "praalankar/a-journey-through-titanic", "kernel_id": "105294"}, {"ref": "cuiran/notebook-3f95d3cee1bdb73eefcc", "kernel_id": "73340"}, {"ref": "cuiran/notebook-43ad7d30f019b2eb28ed", "kernel_id": "70990"}, {"ref": "elmadj/tensor-flow", "kernel_id": "140025"}, {"ref": "ambalika/titanic-survival-analysis", "kernel_id": "413140"}, {"ref": "xuwh02/a-journey-through-titanic", "kernel_id": "111300"}, {"ref": "xuwh02/a-journey-through-titanic-a496aa8d", "kernel_id": "117441"}, {"ref": "jmichaels/titanic", "kernel_id": "66968"}, {"ref": "niteshkv/rf-titanic", "kernel_id": "267625"}, {"ref": "niteshkv/notebook57c5a9381f", "kernel_id": "264485"}, {"ref": "nickwong64/trial-random-forest-with-titanic-dataset", "kernel_id": "68752"}, {"ref": "ravikarri/titanic-challenge", "kernel_id": "554042"}, {"ref": "sponde/titanic-first-attempt", "kernel_id": "265115"}, {"ref": "amznit/a1test", "kernel_id": "94522"}, {"ref": "davidzornek/notebookd0c2aa4d72", "kernel_id": "178721"}, {"ref": "davidzornek/notebooka004cd18e1", "kernel_id": "178724"}, {"ref": "matkins205/firstscript", "kernel_id": "75393"}, {"ref": "matkins205/first-go-at-kaggle", "kernel_id": "252019"}, {"ref": "imranbijapure/exploring-survival-on-the-titanic", "kernel_id": "267087"}, {"ref": "avinash0161/notebooka4de860bbd", "kernel_id": "258736"}, {"ref": "mdyaqub21/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "153255"}, {"ref": "anshu4321/notebooka42c7793e2", "kernel_id": "237036"}, {"ref": "moto600f/notebook1cf4d5d69a", "kernel_id": "158645"}, {"ref": "moto600f/notebooka7873cb6a4", "kernel_id": "159643"}, {"ref": "yannickabba/titanic-ml-from-disaster-1st-trial", "kernel_id": "347895"}, {"ref": "dukasguo/exploring-survival-on-the-titanic", "kernel_id": "75984"}, {"ref": "dukasguo/titanicrf", "kernel_id": "75489"}, {"ref": "seattletcp/notebookbbe28116a7", "kernel_id": "101675"}, {"ref": "tuesday/notebooka891c89cc6", "kernel_id": "246300"}, {"ref": "tuesday/notebooke9328484a3", "kernel_id": "246301"}, {"ref": "phupham1991/a-journey-through-titanic", "kernel_id": "90289"}, {"ref": "pratikkaggle/notebook76e804b3da", "kernel_id": "202358"}, {"ref": "vyasgiridhar/notebookb440159f2a", "kernel_id": "232475"}, {"ref": "altowk/notebook1a685d9f8e", "kernel_id": "208132"}, {"ref": "sealneaward/a-journey-through-titanic", "kernel_id": "118395"}, {"ref": "verios/notebook93da8dd545", "kernel_id": "199385"}, {"ref": "sarahk/a-journey-through-titanic", "kernel_id": "74651"}, {"ref": "sarahk/notebook-236bfebcd86458b1875c", "kernel_id": "74652"}, {"ref": "vishvesh/introduction-to-ensembling-stacking-in-python", "kernel_id": "190443"}, {"ref": "trgosselin14/a-journey-through-titanic", "kernel_id": "87694"}, {"ref": "trgosselin14/a-journey-through-titanic-e44cd22a", "kernel_id": "87696"}, {"ref": "abdulhamid/exploratory-tutorial-titanic-test", "kernel_id": "106218"}, {"ref": "rxxts12/notebook-d0dd85a9688b8012e890", "kernel_id": "67368"}, {"ref": "maxmccann/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "156018"}, {"ref": "maxmccann/titanic-data-science-solutions", "kernel_id": "263144"}, {"ref": "malikrocks/notebook97315fb6bc", "kernel_id": "240536"}, {"ref": "ntgeorge/notebookcf46dcf35d", "kernel_id": "240116"}, {"ref": "yingwei13mei/first-try", "kernel_id": "67582"}, {"ref": "forword/notebooke0efccb4d4", "kernel_id": "208134"}, {"ref": "dhanvanthri94/a-journey-through-titanic-9d352c54", "kernel_id": "108057"}, {"ref": "dhanvanthri94/a-journey-through-titanic", "kernel_id": "108025"}, {"ref": "ansantacruz/prueba2", "kernel_id": "67487"}, {"ref": "ansantacruz/prueba1", "kernel_id": "67488"}, {"ref": "ansantacruz/prueba3", "kernel_id": "67496"}, {"ref": "zakkchen/fork-of-xgboost-example-python-by-datacanary", "kernel_id": "176599"}, {"ref": "zakkchen/notebook0b172712c9", "kernel_id": "173559"}, {"ref": "zakkchen/notebook92c7ebcf6c", "kernel_id": "173579"}, {"ref": "zakkchen/newbie", "kernel_id": "169493"}, {"ref": "arvmohan/notebook929a630d40", "kernel_id": "123025"}, {"ref": "simonholland/notebook1d4565dfb0", "kernel_id": "205907"}, {"ref": "pjacob/titanic-first-r", "kernel_id": "67580"}, {"ref": "agnaldocunha/titanic-data-science-solutions", "kernel_id": "228076"}, {"ref": "seemamishra33/titanic-survival-prediction", "kernel_id": "366479"}, {"ref": "rmaduro/teste1", "kernel_id": "67648"}, {"ref": "muhabek/notebook4ebac31ef7", "kernel_id": "102502"}, {"ref": "oliviaz/titanic-survived-married-women-with-kids", "kernel_id": "165056"}, {"ref": "sunshinearong/titanic-data-science-solutions", "kernel_id": "205998"}, {"ref": "tyburam/notebook77c2f55d44", "kernel_id": "160044"}, {"ref": "keeks123/notebookb64f7a02cf", "kernel_id": "97809"}, {"ref": "keeks123/a-journey-through-titanic", "kernel_id": "97827"}, {"ref": "subhransuss/notebooke6de2b56cc", "kernel_id": "264813"}, {"ref": "petecook/notebookff25a862a9", "kernel_id": "148733"}, {"ref": "tdimitrov/notebookf540a81ed2", "kernel_id": "189115"}, {"ref": "boldlygo109/a-journey-through-titanic", "kernel_id": "176300"}, {"ref": "boldlygo109/notebookdd9b3d83b7", "kernel_id": "176297"}, {"ref": "dssariya/exploratory-on-titanic-survival", "kernel_id": "109916"}, {"ref": "takanoriakiyama/study-of-tree-and-forest-algorithms", "kernel_id": "69109"}, {"ref": "takanoriakiyama/notebook-5bbedbe541325f63584d", "kernel_id": "69114"}, {"ref": "rayleigh/notebookd41f90f9b7", "kernel_id": "259228"}, {"ref": "rayleigh/tutorial", "kernel_id": "259232"}, {"ref": "aleksandricm/working-it-out", "kernel_id": "193432"}, {"ref": "lxchavez/notebook-d69e23038264cb085f53", "kernel_id": "67949"}, {"ref": "haiyun202/notebook0c3658c2a9", "kernel_id": "119173"}, {"ref": "danting/notebook-5139c39862fdd323f597", "kernel_id": "68238"}, {"ref": "danting/notebook-ddcbd369987239387bee", "kernel_id": "68239"}, {"ref": "vaibhavbhujbal/notebookb1e5273cd5", "kernel_id": "219002"}, {"ref": "cesartrevisan/scikit-learn-and-gridsearchcv", "kernel_id": "203975"}, {"ref": "cesartrevisan/a-journey-through-titanic", "kernel_id": "171138"}, {"ref": "datadatum/exploring-survival-on-the-titanic", "kernel_id": "71254"}, {"ref": "marioho/coolcool", "kernel_id": "78803"}, {"ref": "marioho/coolmario", "kernel_id": "69652"}, {"ref": "marioho/cooolcool", "kernel_id": "69653"}, {"ref": "anupv1310/fork-of-notebookaea8e959c0", "kernel_id": "99492"}, {"ref": "anupv1310/notebookb7ff1b5028", "kernel_id": "95085"}, {"ref": "anupv1310/notebookaea8e959c0", "kernel_id": "94089"}, {"ref": "abelku/exploring-survival-on-the-titanic", "kernel_id": "109989"}, {"ref": "shreyashsaraf/notebook3b8bf0625c", "kernel_id": "91008"}, {"ref": "dreamwave/a-journey-through-titanic", "kernel_id": "96512"}, {"ref": "andrewhuang1995/notebookc9a14ef051", "kernel_id": "222938"}, {"ref": "leifnotleaf/titanictest", "kernel_id": "68357"}, {"ref": "leifnotleaf/notebook-c0a9d13284345738a1e3", "kernel_id": "68359"}, {"ref": "thejohnbackes/notebookf9687069b7", "kernel_id": "178649"}, {"ref": "akshayvenkatesha/akshay-titanic", "kernel_id": "273009"}, {"ref": "sandraezidiegwu/exploratoryanalysis-prediction-titanic", "kernel_id": "91908"}, {"ref": "sandraezidiegwu/notebookfcd0a0f58d", "kernel_id": "91905"}, {"ref": "pawisnie/notebook-a6b960bbd9703ad05bc5", "kernel_id": "68367"}, {"ref": "mrugankakarte/notebook-5be6dd152e6d9d3e9f28", "kernel_id": "69160"}, {"ref": "mrugankakarte/notebook-baafa963f0f7d31d24c1", "kernel_id": "69161"}, {"ref": "mrugankakarte/intro", "kernel_id": "69162"}, {"ref": "jamaral68/a-journey-through-titanic", "kernel_id": "119357"}, {"ref": "sinayoko/titanic", "kernel_id": "68766"}, {"ref": "sinayoko/notebook-423de2ef0f98ed079aae", "kernel_id": "68769"}, {"ref": "migcar429/notebook-d092cbdf455fe79950b6", "kernel_id": "68419"}, {"ref": "testebd2/notebook-cb1e86de597beaccf23c", "kernel_id": "68598"}, {"ref": "leonzyz/mytest", "kernel_id": "74479"}, {"ref": "leonzyz/decision-tree-id3", "kernel_id": "74617"}, {"ref": "leonzyz/svm-test", "kernel_id": "68588"}, {"ref": "leonzyz/test-notebook", "kernel_id": "68584"}, {"ref": "ar27111994/notebookaa510586db", "kernel_id": "237292"}, {"ref": "twoapple/my-first-titanic-script", "kernel_id": "168601"}, {"ref": "elvyna/test-notebook", "kernel_id": "108862"}, {"ref": "anki08/titanic", "kernel_id": "103257"}, {"ref": "anki08/a-journey-through-titanic", "kernel_id": "101837"}, {"ref": "anki08/titanic-data-science-solutions", "kernel_id": "160604"}, {"ref": "anki08/forked", "kernel_id": "160545"}, {"ref": "anki08/random-forest", "kernel_id": "160582"}, {"ref": "anki08/using-xgboost", "kernel_id": "157649"}, {"ref": "hydnrich/logitmodel", "kernel_id": "68657"}, {"ref": "rishisankineni/a-journey-through-titanic", "kernel_id": "126292"}, {"ref": "rishisankineni/roy-s-titanic-notebook", "kernel_id": "127446"}, {"ref": "naveenkpitchai/notebookf3f38d6938", "kernel_id": "236043"}, {"ref": "howardchiang/notebook-98172b171ba3567dd573", "kernel_id": "68795"}, {"ref": "melhaz4/notebook-4632425b087e4026e7c1", "kernel_id": "68774"}, {"ref": "melhaz4/notebook-712bba95ea0ca2d7ef7c", "kernel_id": "68690"}, {"ref": "saikrishh/titanic", "kernel_id": "210972"}, {"ref": "autoptr/notebook-3fdd24bca0af278f642c", "kernel_id": "78580"}, {"ref": "autoptr/notebook-fdfc69bcf00b903649d8", "kernel_id": "78581"}, {"ref": "autoptr/a-journey-through-titanic", "kernel_id": "80639"}, {"ref": "zalpha/exploratory-data-analysis", "kernel_id": "85936"}, {"ref": "zalpha/a-journey-through-titanic", "kernel_id": "94123"}, {"ref": "ryanyuan42/a-journey-through-titanic", "kernel_id": "74402"}, {"ref": "diedericka/notebook81b1395b45", "kernel_id": "229674"}, {"ref": "diedericka/notebook172039a808", "kernel_id": "237457"}, {"ref": "diedericka/notebooke60dc48d42", "kernel_id": "238078"}, {"ref": "vedantc6/titanic-survival-analysis", "kernel_id": "366723"}, {"ref": "pfpimenta/notebook3f25745265", "kernel_id": "234677"}, {"ref": "xaaero/notebook3cfbc39269", "kernel_id": "147033"}, {"ref": "vladimir123/a-journey-through-titanic", "kernel_id": "159116"}, {"ref": "vladimir123/a-journey-through-titanic-240fa70f", "kernel_id": "159206"}, {"ref": "asukak47ca/myfirst", "kernel_id": "93308"}, {"ref": "asukak47ca/aaaaaa", "kernel_id": "93297"}, {"ref": "asukak47ca/firstscript", "kernel_id": "99565"}, {"ref": "asukak47ca/notebook2a47752fa1", "kernel_id": "99566"}, {"ref": "pbd0929/exploring-survival-on-the-titanic", "kernel_id": "68935"}, {"ref": "jshilshah/notebook708b803972", "kernel_id": "259286"}, {"ref": "ghassan/notebook-3d8174d5cdfef0c1a7cc", "kernel_id": "79731"}, {"ref": "tomtum/titanic-v1", "kernel_id": "127931"}, {"ref": "joewkaggle/notebook309b3fe1a0", "kernel_id": "125326"}, {"ref": "joewkaggle/dfdfdfdf", "kernel_id": "125320"}, {"ref": "joewkaggle/notebookfe6ffd6b8a", "kernel_id": "125329"}, {"ref": "joewkaggle/notebook6edbae9b8b", "kernel_id": "125330"}, {"ref": "loiclannelongue/notebook-029c497dd69eed72c6c9", "kernel_id": "69019"}, {"ref": "girlbananan/a-journey-through-titanic", "kernel_id": "105989"}, {"ref": "schristd/a-journey-through-titanic", "kernel_id": "92198"}, {"ref": "jiayue9/titanic", "kernel_id": "69027"}, {"ref": "kyuboh/notebook-fb74c695de573b7a7399", "kernel_id": "69338"}, {"ref": "radaelli/titanic-test-notebook", "kernel_id": "78836"}, {"ref": "radaelli/titanic-test", "kernel_id": "78700"}, {"ref": "samiadrappeau/tutorial-titanic-kaggle", "kernel_id": "79409"}, {"ref": "willsmyth/notebook-7cfe6964090b2dcbd87c", "kernel_id": "69331"}, {"ref": "dorianb96/notebook3d1bfb6aec", "kernel_id": "243848"}, {"ref": "marjukavic/notebook-67799c8f7f3ae9ebf858", "kernel_id": "69871"}, {"ref": "adhish/a-journey-through-titanic", "kernel_id": "101720"}, {"ref": "nixgdill/titanic", "kernel_id": "69286"}, {"ref": "trome17/notebook0edfbf238d", "kernel_id": "182024"}, {"ref": "trome17/notebook710fc0b68a", "kernel_id": "196524"}, {"ref": "juhopy/notebookcfc45b6f98", "kernel_id": "112215"}, {"ref": "jeffd23/notebook-c14b7855bd99245101d6", "kernel_id": "79463"}, {"ref": "jeffd23/scikit-learn-ml-from-start-to-finish", "kernel_id": "79464"}, {"ref": "jeffd23/debugging", "kernel_id": "85611"}, {"ref": "cfrichardson/notebook-7f478f1c2e0c93342027", "kernel_id": "82651"}, {"ref": "cfrichardson/notebook-6d71818d23fcb2b53b5c", "kernel_id": "82774"}, {"ref": "cfrichardson/notebook-022d60ac411d40c24a2e", "kernel_id": "84099"}, {"ref": "cfrichardson/notebook-85b9bd3283433f8f9ed2", "kernel_id": "84095"}, {"ref": "cfrichardson/notebook-48f197755e31b847a77a", "kernel_id": "85150"}, {"ref": "cfrichardson/notebook-227b0980b5b235c82453", "kernel_id": "85151"}, {"ref": "cfrichardson/notebook-dd11e40efcbf1a72ad3f", "kernel_id": "85154"}, {"ref": "cfrichardson/experi", "kernel_id": "85155"}, {"ref": "biosopher/a-journey-through-titanic", "kernel_id": "125899"}, {"ref": "joshhayes747/notebook-e016644118e07fb483ce", "kernel_id": "69376"}, {"ref": "jimmylian/a-journey-through-titanic", "kernel_id": "78147"}, {"ref": "staunchjun/notebook69be0df963", "kernel_id": "126181"}, {"ref": "staunchjun/notebook2950ff9c8a", "kernel_id": "127459"}, {"ref": "staunchjun/titanic-passenger-survival", "kernel_id": "127456"}, {"ref": "anweshaghosh/titanic-forkofmultiplescripts-r", "kernel_id": "108526"}, {"ref": "ggopikrishna/notebook-02553b2e8410a3478b8f", "kernel_id": "69422"}, {"ref": "krietallo64/exploring-survival-on-the-titanic", "kernel_id": "89560"}, {"ref": "pclavel/notebook839210fe50", "kernel_id": "94697"}, {"ref": "slnadh/titanic-survival", "kernel_id": "69479"}, {"ref": "ritsuki/notebook-8a8ccd836f7bb395b23c", "kernel_id": "71110"}, {"ref": "pramnk/test-titanic", "kernel_id": "150402"}, {"ref": "sagardutta/foozball-titanic", "kernel_id": "351195"}, {"ref": "emanreyalp/a-journey-through-titanic", "kernel_id": "95593"}, {"ref": "rosman/a-journey-through-titanic", "kernel_id": "107325"}, {"ref": "pksridhar/notebook-8a473a42a68b42e5aedd", "kernel_id": "77095"}, {"ref": "tabora/titanic-tensorflow-canned-estimators-beginners", "kernel_id": "421677"}, {"ref": "caizkun/a-journey-through-titanic", "kernel_id": "97670"}, {"ref": "jonathanbechtel/setting-sail-on-the-rms-titanic", "kernel_id": "96127"}, {"ref": "jonathanbechtel/mastering-the-basics-on-the-rms-titanic", "kernel_id": "96072"}, {"ref": "captainslowmo/notebook4141e4a0a9", "kernel_id": "197896"}, {"ref": "captainslowmo/notebook60d2f6bc68", "kernel_id": "216548"}, {"ref": "adityak204/notebook-ae7ec742f3e0474e0476", "kernel_id": "84262"}, {"ref": "farisai/titanic-using-the-pseudo-labeling-method", "kernel_id": "355072"}, {"ref": "cwklui/notebook2aa2d857d7", "kernel_id": "240640"}, {"ref": "cwklui/notebook8610f9d8f5", "kernel_id": "240641"}, {"ref": "cwklui/notebook550c1f9b5b", "kernel_id": "239807"}, {"ref": "mazamaadi/notebook-cbff8273ea387a8ba1b0", "kernel_id": "70884"}, {"ref": "mazamaadi/notebook072328a822", "kernel_id": "92422"}, {"ref": "mundadaharish/a-journey-through-titanic-8fccd90d", "kernel_id": "85647"}, {"ref": "mundadaharish/a-journey-through-titanic-de508301", "kernel_id": "85649"}, {"ref": "mundadaharish/a-journey-through-titanic", "kernel_id": "85643"}, {"ref": "njardus/notebooked5e2744da", "kernel_id": "100945"}, {"ref": "t2520dn/notebook2ede814757", "kernel_id": "235484"}, {"ref": "zhujj09/titanic-data-science-solutions", "kernel_id": "220452"}, {"ref": "smufflarn/notebook3817688004", "kernel_id": "244110"}, {"ref": "alisigude/notebook-a01f57bc7ed568e1057e", "kernel_id": "70389"}, {"ref": "alisigude/notebook-5bed4ffa1eb3d1121a5a", "kernel_id": "70363"}, {"ref": "alisigude/notebook-835ff4778c816896b074", "kernel_id": "70364"}, {"ref": "alisigude/notebook-f12c60c9759f54f65baa", "kernel_id": "70365"}, {"ref": "alisigude/notebook-eaf7a039cb87c738e950", "kernel_id": "70366"}, {"ref": "alisigude/notebook-74b17268fbb0d590d8cb", "kernel_id": "70367"}, {"ref": "alisigude/notebook-cab744053aab5fbcdd97", "kernel_id": "70589"}, {"ref": "vidhushini/kaggle-csv", "kernel_id": "106463"}, {"ref": "pooya13/notebooke874d60047", "kernel_id": "273705"}, {"ref": "nithish007/notebook0d8747895b", "kernel_id": "137312"}, {"ref": "nithish007/my-script", "kernel_id": "157090"}, {"ref": "nithish007/notebook97cf671235", "kernel_id": "108073"}, {"ref": "jnconar/feldspar-conard-hack-1", "kernel_id": "220271"}, {"ref": "nashit93/titanic-kaggle", "kernel_id": "148197"}, {"ref": "thilinapiyadasun/titanic-my", "kernel_id": "72976"}, {"ref": "thilinapiyadasun/notebook-1b7bb3764dc75d21f9b5", "kernel_id": "72970"}, {"ref": "thilinapiyadasun/notebook-bcadfaa2c00dde9c9711", "kernel_id": "72971"}, {"ref": "thilinapiyadasun/notebook-8277e8e5ce6f29f7a4e5", "kernel_id": "72972"}, {"ref": "thilinapiyadasun/notebook-d2faacb49991dfc68171", "kernel_id": "72974"}, {"ref": "thilinapiyadasun/titanic-my-2", "kernel_id": "120226"}, {"ref": "chimilouski/notebook780ea947ed", "kernel_id": "227429"}, {"ref": "leijtenss/a-journey-through-titanic", "kernel_id": "74839"}, {"ref": "gunnarlr/titanic-data-science-solutions", "kernel_id": "259851"}, {"ref": "awatts/dicking-with-script", "kernel_id": "72966"}, {"ref": "kreck30590/notebook-62ee59f6f7f594723e96", "kernel_id": "70259"}, {"ref": "parihar123/a-journey-through-titanic", "kernel_id": "140599"}, {"ref": "swadhwa/swads", "kernel_id": "263464"}, {"ref": "swadhwa/notebook-232d287668bcc4174f1d", "kernel_id": "70384"}, {"ref": "rakeshcm/getting-started-with-titanic", "kernel_id": "90681"}, {"ref": "espdan/tests", "kernel_id": "111339"}, {"ref": "bretterism/notebooke01cf7880f", "kernel_id": "215994"}, {"ref": "bretterism/notebook36b1aaa0d9", "kernel_id": "215997"}, {"ref": "bretterism/learning", "kernel_id": "216002"}, {"ref": "loveautumnlan/exploratoryanalysis-prediction-titanic", "kernel_id": "121702"}, {"ref": "oortsaurus/test-script", "kernel_id": "70532"}, {"ref": "kevinnp/notebook953794c742", "kernel_id": "112958"}, {"ref": "kevinnp/intro", "kernel_id": "70517"}, {"ref": "pramitg/output", "kernel_id": "70544"}, {"ref": "kzjeef/a-journey-through-titanic", "kernel_id": "167672"}, {"ref": "longyangking/titantic", "kernel_id": "95618"}, {"ref": "ruining/a-journey-through-titanic-9e93a1b5", "kernel_id": "95127"}, {"ref": "ruining/a-journey-through-titanic-2f0a358d", "kernel_id": "89997"}, {"ref": "ruining/a-journey-through-titanic", "kernel_id": "89951"}, {"ref": "invoker69/notebook-43e79a42e1a9ec931ca2", "kernel_id": "74181"}, {"ref": "davidjdiebold/notebook-133f1c501545da08e5a1", "kernel_id": "70681"}, {"ref": "davidjdiebold/my-titanic", "kernel_id": "70670"}, {"ref": "windrunner/try-for-one", "kernel_id": "70654"}, {"ref": "roxyshuwang/notebook26641e9196", "kernel_id": "89643"}, {"ref": "gaurikris/notebooke10e68bce0", "kernel_id": "244529"}, {"ref": "gaurikris/titaniclearningqi", "kernel_id": "244509"}, {"ref": "miladsayad/notebookfeadec99c4", "kernel_id": "202764"}, {"ref": "slarlar/notebook-473993743a8f3c8fc4a7", "kernel_id": "77168"}, {"ref": "dhrubkumar0216/practice-2", "kernel_id": "71081"}, {"ref": "dhrubkumar0216/r-practice", "kernel_id": "71088"}, {"ref": "dhrubkumar0216/dhrub", "kernel_id": "71070"}, {"ref": "dhrubkumar0216/dhrub-1", "kernel_id": "71071"}, {"ref": "dhrubkumar0216/dhrub-s-project", "kernel_id": "71593"}, {"ref": "aswinrobert/notebook-ffc5e86750d2e0ecb72f", "kernel_id": "70769"}, {"ref": "yutaimai/a-journey-through-titanic", "kernel_id": "113554"}, {"ref": "fahmiamir15/svmtitanic", "kernel_id": "80938"}, {"ref": "fahmiamir15/notebook-406ffd755034ae8ad8f0", "kernel_id": "80939"}, {"ref": "fahmiamir15/notebook-a6f5ab80bfd9849e5372", "kernel_id": "80941"}, {"ref": "fahmiamir15/notebook-2d224ccb4fbc80cc01da", "kernel_id": "80942"}, {"ref": "fahmiamir15/notebook-e34a8183dd950ff04b44", "kernel_id": "80943"}, {"ref": "fahmiamir15/input-output-check", "kernel_id": "70829"}, {"ref": "eleijonmarck/notebook5215664b25", "kernel_id": "231459"}, {"ref": "mohiitaa/titanic-skyhawks", "kernel_id": "385638"}, {"ref": "ingaaa/notebooka78a6f9639", "kernel_id": "121706"}, {"ref": "twinkoskull56/a-journey-through-titanic", "kernel_id": "108728"}, {"ref": "rohan213/notebook0e7f7fee69", "kernel_id": "101016"}, {"ref": "hannahhsu/a-journey-through-titanic", "kernel_id": "176846"}, {"ref": "hannahhsu/notebook39d45e7225", "kernel_id": "174774"}, {"ref": "stronggale/titatinc-data-set-and-islr-book", "kernel_id": "210381"}, {"ref": "thomasbritton/first-attempt", "kernel_id": "71026"}, {"ref": "andypicke/titantic-eda-and-random-forest-model", "kernel_id": "218573"}, {"ref": "rainyjain975/a-journey-through-titanic", "kernel_id": "194390"}, {"ref": "cyinwei/notebooke0ef366e05", "kernel_id": "108105"}, {"ref": "cyinwei/a-journey-through-titanic", "kernel_id": "148386"}, {"ref": "sixiuchen/notebook-9c81cdc4d775d25bf3f2", "kernel_id": "72798"}, {"ref": "joanzi/notebook-856996804c7ac2625774", "kernel_id": "71118"}, {"ref": "anurag4messi/notebook9b06d83fdb", "kernel_id": "216147"}, {"ref": "kevi793/notebookc8b449b456", "kernel_id": "143709"}, {"ref": "rcanand/exploring-survival-on-the-titanic", "kernel_id": "124403"}, {"ref": "saboni/first-test", "kernel_id": "216747"}, {"ref": "kapillehar/titanic-rf-prediction-0-81818", "kernel_id": "247669"}, {"ref": "ranjit58/titanic-disaster-exploration-long-tutorial-1", "kernel_id": "258674"}, {"ref": "marsam/a-journey-through-titanic-b770d268", "kernel_id": "130505"}, {"ref": "marsam/a-journey-through-titanic", "kernel_id": "129498"}, {"ref": "michaelboyers/titanic", "kernel_id": "71198"}, {"ref": "uctorius7/modeling-the-titanic", "kernel_id": "403032"}, {"ref": "ruaidhri/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "160738"}, {"ref": "mstk344/titanic-with-randomforestclassifier", "kernel_id": "100883"}, {"ref": "mstk344/titanic", "kernel_id": "97858"}, {"ref": "moonshot91/a-journey-through-titanic-80ac3e35", "kernel_id": "150128"}, {"ref": "moonshot91/a-journey-through-titanic-a70f0b5e", "kernel_id": "151175"}, {"ref": "ditiano/julio-s-first-encounter-with-kaggle", "kernel_id": "165585"}, {"ref": "ditiano/a-journey-through-titanic-forked", "kernel_id": "165596"}, {"ref": "ditiano/first-encounter-with-kaggle", "kernel_id": "165590"}, {"ref": "lunafire/notebook-cc02b12fd644526ce970", "kernel_id": "71784"}, {"ref": "lunafire/notebook-142eeccc2a36fb6f3d16", "kernel_id": "71785"}, {"ref": "lunafire/titanic", "kernel_id": "71786"}, {"ref": "lunafire/notebook-430d4b3180953be7df52", "kernel_id": "71787"}, {"ref": "andymai/a-journey-through-titanic", "kernel_id": "74757"}, {"ref": "vaitheeswaran/notebook-5aebaf8dbc235fc70935", "kernel_id": "71826"}, {"ref": "bcg0006/titanic-competition", "kernel_id": "157365"}, {"ref": "bcg0006/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "162596"}, {"ref": "c34klh123/using-svm-to-predict-titanic-in-r", "kernel_id": "208040"}, {"ref": "enjoyb/titanic-passenger-survival-6c0a4be4", "kernel_id": "96521"}, {"ref": "enjoyb/titanic-passenger-survival", "kernel_id": "96453"}, {"ref": "igbatov/titanic-data-exploration-with-glm", "kernel_id": "96959"}, {"ref": "metal32/exploring-survival-on-the-titanic", "kernel_id": "87317"}, {"ref": "bren077s/titanic-survivors", "kernel_id": "71516"}, {"ref": "marcsun/a-journey-through-titanic", "kernel_id": "113052"}, {"ref": "mvosouza/naivemvosouza", "kernel_id": "72422"}, {"ref": "dwarakauttarkar/titanic-data-science-solutions", "kernel_id": "150332"}, {"ref": "dwarakauttarkar/titanic-data-science-solutions-cb8da872", "kernel_id": "150872"}, {"ref": "dataisknowledge/fork-of-visualization-and-feature-engineering", "kernel_id": "96260"}, {"ref": "dataisknowledge/visualization-and-feature-engineering", "kernel_id": "71673"}, {"ref": "dataisknowledge/notebook-1453103b4b82fad9d394", "kernel_id": "71686"}, {"ref": "dataisknowledge/notebook-78ad0b68f7b09a452c9e", "kernel_id": "71687"}, {"ref": "dataisknowledge/notebook-b2aad9663505fa4cabfe", "kernel_id": "71698"}, {"ref": "pcurry/startertitanic", "kernel_id": "71481"}, {"ref": "vinay2020/7-steps-for-solving-data-science-problem", "kernel_id": "159693"}, {"ref": "nthakor/titanic", "kernel_id": "278557"}, {"ref": "lahcen/test-python", "kernel_id": "77052"}, {"ref": "surajpoojary/unearthing-the-mystery-titanic", "kernel_id": "92795"}, {"ref": "surajpoojary/a-journey-through-titanic", "kernel_id": "92450"}, {"ref": "abenshoof/titanic-data-science-solutions", "kernel_id": "257889"}, {"ref": "himamehta/titanic", "kernel_id": "151960"}, {"ref": "dkurtaev/notebook-9e938f6cc10597f92ff8", "kernel_id": "73267"}, {"ref": "dkurtaev/default-example", "kernel_id": "72319"}, {"ref": "dkurtaev/notebook-caf2f72ba30147643161", "kernel_id": "72485"}, {"ref": "dkurtaev/split-parch", "kernel_id": "72782"}, {"ref": "mduseja/a-journey-through-titanic", "kernel_id": "123107"}, {"ref": "mduseja/notebookc757062c28", "kernel_id": "123009"}, {"ref": "wangchen1ren/titanic-test", "kernel_id": "114773"}, {"ref": "hoss3inf/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "160783"}, {"ref": "apmfifty/a-journey-through-titanic", "kernel_id": "107775"}, {"ref": "apmfifty/exploratory-tutorial-titanic-01-learning", "kernel_id": "107782"}, {"ref": "ktorquem/notebook-1c2955788f3870d1737e", "kernel_id": "71764"}, {"ref": "ktorquem/titanic", "kernel_id": "71760"}, {"ref": "ktorquem/notebook-9018e830cee076954a91", "kernel_id": "71773"}, {"ref": "ktorquem/notebook-eafe324abaeddaf23eaa", "kernel_id": "71767"}, {"ref": "redaaffane/a-journey-through-titanic-266587f4", "kernel_id": "111124"}, {"ref": "redaaffane/a-journey-through-titanic", "kernel_id": "97153"}, {"ref": "redaaffane/a-journey-through-titanic-9366ba09", "kernel_id": "97426"}, {"ref": "withsnaveen/exploring-survival-on-the-titanic", "kernel_id": "158971"}, {"ref": "withsnaveen/5-days-challenge-day-1", "kernel_id": "472678"}, {"ref": "withsnaveen/5-day-data-challenge-day-1", "kernel_id": "541401"}, {"ref": "suraj123/titanic-best-working-classifier-dc71a387", "kernel_id": "139872"}, {"ref": "suraj123/titanic-best-working-classifier", "kernel_id": "139654"}, {"ref": "dancambs/notebook-1994c11d4bb27776542a", "kernel_id": "74188"}, {"ref": "dancambs/notebook-89922860a8fe9a133e33", "kernel_id": "74185"}, {"ref": "daisy412/a-journey-through-titanic", "kernel_id": "72147"}, {"ref": "zhangrong/notebook6b6e18a95c", "kernel_id": "218276"}, {"ref": "bazylrei/random-forest-benchmark-r", "kernel_id": "75782"}, {"ref": "bazylrei/notebook-7d11e0330fab1d421262", "kernel_id": "75783"}, {"ref": "bazylrei/notebook-76ba41e6fdbc54590f1f", "kernel_id": "75785"}, {"ref": "nicensboy/fork-of-fork-of-exploring-survival-on-the-titanic", "kernel_id": "660167"}, {"ref": "tboymike/a-journey-through-titanic", "kernel_id": "122037"}, {"ref": "lynknowsbest/notebook3bcaeb36a3", "kernel_id": "153631"}, {"ref": "akshay0724/makeit", "kernel_id": "77162"}, {"ref": "akshay0724/study-of-tree-and-forest-algorithms", "kernel_id": "79101"}, {"ref": "hilberath/notebook-ecdb86a466fce63a6e1c", "kernel_id": "73169"}, {"ref": "hilberath/teste1", "kernel_id": "72036"}, {"ref": "hilberath/teste2", "kernel_id": "72063"}, {"ref": "hilberath/teste4", "kernel_id": "72213"}, {"ref": "niozhan/notebook-982ff840ab797712efd9", "kernel_id": "72872"}, {"ref": "niozhan/notebook-9c6ad3d90c3805939f26", "kernel_id": "72874"}, {"ref": "niozhan/notebook-d2a2565937c176c6ff45", "kernel_id": "72870"}, {"ref": "icandoit/notebook-9840012836922a565f96", "kernel_id": "76926"}, {"ref": "icandoit/notebook-f0bf4625f3988563b2e0", "kernel_id": "76927"}, {"ref": "icandoit/notebook-f6335d98d4ce766b9384", "kernel_id": "76928"}, {"ref": "icandoit/notebook-ef9706e60e20b0361de8", "kernel_id": "76826"}, {"ref": "icandoit/notebook-cbd0754637f74906ccba", "kernel_id": "76801"}, {"ref": "icandoit/notebook-fad1e9afd15bf7b711e5", "kernel_id": "76802"}, {"ref": "icandoit/notebook-ac298e9f47728703e513", "kernel_id": "76803"}, {"ref": "icandoit/prediction-comparison-of-random-forest-w", "kernel_id": "76804"}, {"ref": "icandoit/notebook-6f4ab6d1bec5ececb555", "kernel_id": "76820"}, {"ref": "icandoit/comparison-of-random-forest-and-svm", "kernel_id": "76821"}, {"ref": "icandoit/notebook-e6c5c84f557bb56af5b4", "kernel_id": "76823"}, {"ref": "icandoit/notebook-6aaad85691eea83d1b98", "kernel_id": "76824"}, {"ref": "icandoit/notebook-d4b644c2390ebbcc15ad", "kernel_id": "75867"}, {"ref": "icandoit/notebook-ec19a168b3ce0a156827", "kernel_id": "75870"}, {"ref": "lydorn/titanic-test", "kernel_id": "72155"}, {"ref": "sarsoura/notebook1f1169bfe5", "kernel_id": "262758"}, {"ref": "sabarishramachandran/titanic-exploration", "kernel_id": "149678"}, {"ref": "gaurav12/random-forest-benchmark-age-rpart-r", "kernel_id": "110379"}, {"ref": "noronha1978/titanic-script", "kernel_id": "173509"}, {"ref": "yangkeao/notebook43a209d152", "kernel_id": "175839"}, {"ref": "weixing777/a-journey-through-titanic", "kernel_id": "109078"}, {"ref": "bhandarytejas92/notebook968a5f8307", "kernel_id": "91189"}, {"ref": "nitingulati/titanic-data-survival", "kernel_id": "152916"}, {"ref": "jmdaniel/a-journey-through-titanic", "kernel_id": "146027"}, {"ref": "jarivalesin/myfirsttry", "kernel_id": "212366"}, {"ref": "hirokiii/a-journey-through-titanic", "kernel_id": "221983"}, {"ref": "hirokiii/training-with-titanic", "kernel_id": "231483"}, {"ref": "etongnusmas/notebook-a4f2828eba95331e5e2b", "kernel_id": "83948"}, {"ref": "etongnusmas/notebook95edfa744f", "kernel_id": "88508"}, {"ref": "hdixit/titanic-machine-learning-from-disaster", "kernel_id": "192487"}, {"ref": "yilmazalp/a-journey-through-titanic", "kernel_id": "90344"}, {"ref": "yilmazalp/a-journey-through-titanic-cb7b1edb", "kernel_id": "90849"}, {"ref": "shubham8garg/notebook39c23ba594", "kernel_id": "202031"}, {"ref": "oysteijo/titanic-passenger-survival", "kernel_id": "79519"}, {"ref": "rohanraj/lucky-tickets", "kernel_id": "73321"}, {"ref": "freakyoiseau/introduction-to-ensembling-stacking-in-python", "kernel_id": "190727"}, {"ref": "kezako/notebook5d3ba0cef1", "kernel_id": "209023"}, {"ref": "prakritidevverma/notebook349e133886", "kernel_id": "173411"}, {"ref": "prakritidevverma/titanic", "kernel_id": "142963"}, {"ref": "prakritidevverma/notebook543ed3b715", "kernel_id": "146705"}, {"ref": "prakritidevverma/notebook8168c3be8d", "kernel_id": "186505"}, {"ref": "awesomeguptaji/triala", "kernel_id": "211580"}, {"ref": "courche9/notebook-9d1c1149ddb95d8d2812", "kernel_id": "74412"}, {"ref": "stalin18/notebookcdba7b6c9b", "kernel_id": "115336"}, {"ref": "bradden/notebook-d2645c9060e5066cf10d", "kernel_id": "72866"}, {"ref": "bradden/notebook-848e18638faa12bcd99d", "kernel_id": "72861"}, {"ref": "bradden/titanic", "kernel_id": "72712"}, {"ref": "bradden/notebook-eaa502ae6277797075e7", "kernel_id": "72847"}, {"ref": "splendidbird/kaggle-titanic-001", "kernel_id": "96049"}, {"ref": "rayblick/notebook58e55c46c6", "kernel_id": "87129"}, {"ref": "rayblick/a-titanic-test", "kernel_id": "87885"}, {"ref": "rayblick/notebooka013b369a9", "kernel_id": "87883"}, {"ref": "sangsulee92/titanic-analysis", "kernel_id": "88257"}, {"ref": "basswan/lasso-ridge-implementation", "kernel_id": "91044"}, {"ref": "basswan/lri-another", "kernel_id": "91045"}, {"ref": "basswan/python-script", "kernel_id": "75970"}, {"ref": "basswan/da-for-beginner", "kernel_id": "74134"}, {"ref": "jainul/notebook989e3376f3", "kernel_id": "228434"}, {"ref": "gp2493/notebookcfb6f10538", "kernel_id": "205112"}, {"ref": "ksmvsn/titanic-survival-python-solution", "kernel_id": "163186"}, {"ref": "jamesleeyichan/notebook658eaed59d", "kernel_id": "151115"}, {"ref": "mistborn/titanic", "kernel_id": "131882"}, {"ref": "chinandrei/notebook0dc2970b5c", "kernel_id": "211913"}, {"ref": "fabiohsmachado/notebookd84f8c4a6e", "kernel_id": "115045"}, {"ref": "joaquinmd93/notebookd4681b920e", "kernel_id": "203371"}, {"ref": "joaquinmd93/1st-submission-jm", "kernel_id": "203372"}, {"ref": "amolmane/trial", "kernel_id": "95332"}, {"ref": "xhting/demo-py", "kernel_id": "144921"}, {"ref": "ttmizu/notebook-f00b4d30cea842153fba", "kernel_id": "78614"}, {"ref": "ttmizu/mytitanic", "kernel_id": "78617"}, {"ref": "ttmizu/notebook-c587ed5ddb7f4facfc93", "kernel_id": "79013"}, {"ref": "xanonid/my-titanic-dashboard", "kernel_id": "73056"}, {"ref": "kamalkrishh1992/a-journey-through-titanic", "kernel_id": "98526"}, {"ref": "sidds8132/first-script", "kernel_id": "78165"}, {"ref": "nishnik/notebook876a826608", "kernel_id": "101061"}, {"ref": "alexbella/notebook1c8b85cede", "kernel_id": "116990"}, {"ref": "kikeuchi/a-journey-through-titanic", "kernel_id": "75156"}, {"ref": "kikeuchi/notebook-ddba11f4a380f59c764c", "kernel_id": "75205"}, {"ref": "kikeuchi/notebook-9894da7a1ead17e7a2f3", "kernel_id": "75188"}, {"ref": "kikeuchi/notebook-57fe44fc579f872c2128", "kernel_id": "75200"}, {"ref": "zeratul021/notebook-1c121a869dccbb8d6c29", "kernel_id": "73156"}, {"ref": "tuttoaposto/notebook-b1a11a49e7c291dab3bd", "kernel_id": "80727"}, {"ref": "telliott27/notebook-fa36c3b2c6ec6eb34e4f", "kernel_id": "73178"}, {"ref": "jacktroy/first", "kernel_id": "79360"}, {"ref": "jacktroy/a-journey-through-titanic", "kernel_id": "79362"}, {"ref": "kagglelsc/notebook613e4c0bc1", "kernel_id": "258234"}, {"ref": "lihongqiang/pythontest", "kernel_id": "93104"}, {"ref": "lihongqiang/notebookcb21fe087d", "kernel_id": "92748"}, {"ref": "lihongqiang/myscripttesting", "kernel_id": "92764"}, {"ref": "lihongqiang/notebook1da0aaf609", "kernel_id": "92759"}, {"ref": "lihongqiang/randomforest", "kernel_id": "93994"}, {"ref": "sungguni/notebook-143971b5b2a92ff1941b", "kernel_id": "74073"}, {"ref": "jabbok/sample", "kernel_id": "73328"}, {"ref": "jabbok/notebook-69bc0aba7a90411fbd54", "kernel_id": "73329"}, {"ref": "datahefe/notebook-2671f4b36bba849c16fe", "kernel_id": "73641"}, {"ref": "celineye/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "178184"}, {"ref": "celineye/titanic-survival-prediction-end-to-end-ml-p-603185", "kernel_id": "200485"}, {"ref": "razor123/a-journey-through-titanic", "kernel_id": "88732"}, {"ref": "natashasm/neural-networks-predicting-passengers-survived", "kernel_id": "116507"}, {"ref": "hshewood/a-journey-through-titanic", "kernel_id": "90901"}, {"ref": "hshewood/titanic", "kernel_id": "243231"}, {"ref": "bashlee/a-journey-through-titanic", "kernel_id": "77003"}, {"ref": "amitkohli0/first-run", "kernel_id": "73696"}, {"ref": "deatharthas/a-journey-through-titanic", "kernel_id": "112077"}, {"ref": "deatharthas/a-journey-through-titanic-v2", "kernel_id": "112753"}, {"ref": "deatharthas/notebook7c1e4c5d4b", "kernel_id": "112723"}, {"ref": "deatharthas/titanic-survival-prediction", "kernel_id": "171863"}, {"ref": "abhi094/my-first-kaggle", "kernel_id": "93599"}, {"ref": "hgunawan/titanic-survival-kernel", "kernel_id": "117543"}, {"ref": "sunshine8641/notebook-ab9cfe989458976bc847", "kernel_id": "75625"}, {"ref": "andreidi/notebook78d4bffc3e", "kernel_id": "88282"}, {"ref": "kashyap32/notebooke089413361", "kernel_id": "232097"}, {"ref": "pawangupta06/scikit-learn-ml-from-start-to-finish", "kernel_id": "265368"}, {"ref": "fdsaqwer/default", "kernel_id": "123046"}, {"ref": "michaelmtz20/notebook-3cea6dae7a151eda59ee", "kernel_id": "73640"}, {"ref": "jarmopih/a-journey-through-titanic", "kernel_id": "89328"}, {"ref": "pujasingh/notebook6ff6b982f8", "kernel_id": "275678"}, {"ref": "sargismarkosyan/notebook-a42d062250f499f47bf1", "kernel_id": "73770"}, {"ref": "robhardwick/notebook-bf14b82fa322eb719a96", "kernel_id": "75362"}, {"ref": "robhardwick/notebook-3f620ff420cdf5719783", "kernel_id": "75363"}, {"ref": "robhardwick/my-first-kaggle-script", "kernel_id": "75326"}, {"ref": "robhardwick/notebook-676b9d7a5503c3d00e53", "kernel_id": "75153"}, {"ref": "gschro/titanic-v1", "kernel_id": "76127"}, {"ref": "n1hads/test1", "kernel_id": "80002"}, {"ref": "n1hads/demo1", "kernel_id": "80003"}, {"ref": "kcorpse/titanic-ml", "kernel_id": "142888"}, {"ref": "elrusho/titanlearnings", "kernel_id": "73992"}, {"ref": "elrusho/notebook-a97d94e82cb468edb88a", "kernel_id": "73995"}, {"ref": "elrusho/notebook-f05dd35807bcd4613017", "kernel_id": "73996"}, {"ref": "elrusho/titan-second-attempt", "kernel_id": "73997"}, {"ref": "diegosan/a-journey-through-titanic", "kernel_id": "79406"}, {"ref": "diegosan/a-journey-through-titanic-f7d6ac3e", "kernel_id": "133560"}, {"ref": "diegosan/a-journey-through-titanic-67f5e04a", "kernel_id": "133556"}, {"ref": "diegosan/a-journey-through-titanic-4a59d230", "kernel_id": "133961"}, {"ref": "diegosan/a-journey-through-titanic-81e74085", "kernel_id": "134681"}, {"ref": "diegosan/a-journey-through-titanic-0ed03f74", "kernel_id": "136628"}, {"ref": "scratbai/titanic", "kernel_id": "73914"}, {"ref": "sasi513/titanicnewscript", "kernel_id": "187183"}, {"ref": "icinnamon/titanic-preprocessing-ml-tutorial", "kernel_id": "117312"}, {"ref": "nadavatar/titanic", "kernel_id": "76529"}, {"ref": "mavass/teste", "kernel_id": "75817"}, {"ref": "sethzgold/titanic", "kernel_id": "194993"}, {"ref": "supernathan/notebook-fccd1c2bb4b2cc07882e", "kernel_id": "74009"}, {"ref": "akshaykumarvikram/notebook4ef872213d", "kernel_id": "159854"}, {"ref": "harpreetsingh8357/dabler-harpreet-singh", "kernel_id": "234462"}, {"ref": "harpreetsingh8357/notebook183630e903", "kernel_id": "234336"}, {"ref": "kiranthota/model-comparison-sklearn", "kernel_id": "122585"}, {"ref": "bokenzzo/boki-piton", "kernel_id": "273693"}, {"ref": "mslingzhu/notebook-e8b08f39085a2be5a692", "kernel_id": "81603"}, {"ref": "mslingzhu/notebook-e38c237fc944ebf32cb5", "kernel_id": "81601"}, {"ref": "mslingzhu/notebook-b7c7833657ff4cd3539d", "kernel_id": "81583"}, {"ref": "mslingzhu/notebook-e0a736f6a628d4b38be2", "kernel_id": "77402"}, {"ref": "mslingzhu/notebook-978bd60a7f1a02071ffd", "kernel_id": "77393"}, {"ref": "mslingzhu/notebook-e2245f0b1f3498d2d36c", "kernel_id": "77394"}, {"ref": "mslingzhu/notebook-1d61750d764ad4cc26b0", "kernel_id": "77823"}, {"ref": "mslingzhu/notebook-0f9fbfc06d5079d645f4", "kernel_id": "77960"}, {"ref": "mslingzhu/notebook-3f76fffa042edde55049", "kernel_id": "77961"}, {"ref": "mslingzhu/notebook-1ccfc6c2480afbdd65e0", "kernel_id": "77232"}, {"ref": "mslingzhu/notebook-6f55ded78bdb38a322df", "kernel_id": "73989"}, {"ref": "mslingzhu/different-formula-on-different-gender", "kernel_id": "73990"}, {"ref": "mslingzhu/notebook-3d2002db3c11a883bfde", "kernel_id": "74113"}, {"ref": "mslingzhu/notebook-bf32cff644129ccbbb53", "kernel_id": "74365"}, {"ref": "mslingzhu/notebook-5d2fadc23a5ffa36c3bd", "kernel_id": "74366"}, {"ref": "edisonxiao/first-attempt", "kernel_id": "145549"}, {"ref": "zachsachs/simple-random-forest", "kernel_id": "75186"}, {"ref": "zachsachs/notebook-f955b2988cd6502c79bd", "kernel_id": "75189"}, {"ref": "yayaya0411/555555", "kernel_id": "74271"}, {"ref": "yayaya0411/notebook-fd841e84a20fffbc4c31", "kernel_id": "74272"}, {"ref": "anthonypino/titanic-with-logistical-regression", "kernel_id": "349801"}, {"ref": "srinivasjammu/notebook5481bab3c8", "kernel_id": "331613"}, {"ref": "asdm5623/notebook2f251056c5", "kernel_id": "214868"}, {"ref": "nicolasdupont/titanicsurvival-dataanalysis-machinelearning", "kernel_id": "107541"}, {"ref": "slseager78/notebook067bed3dc3", "kernel_id": "100386"}, {"ref": "woahboy/playing-around", "kernel_id": "172747"}, {"ref": "ankurtagra/a-journey-through-titanic", "kernel_id": "132789"}, {"ref": "dragonheart/a-journey-through-titanic", "kernel_id": "98908"}, {"ref": "dragonheart/kaggle-titanic-001", "kernel_id": "92165"}, {"ref": "dragonheart/study-of-tree-and-forest-algorithms", "kernel_id": "92170"}, {"ref": "dragonheart/scikit-learn-ml-from-start-to-finish", "kernel_id": "92261"}, {"ref": "dragonheart/kaggle-titanic-001-52e2913b", "kernel_id": "92250"}, {"ref": "dragonheart/tuning-random-forest-parameters", "kernel_id": "92254"}, {"ref": "dragonheart/a-journey-through-titanic-ff83ee7f", "kernel_id": "109120"}, {"ref": "dragonheart/titanic-data-science-solutions-5f9cf5", "kernel_id": "447569"}, {"ref": "dragonheart/study-of-tree-and-forest-algorithms-608e6f", "kernel_id": "229439"}, {"ref": "dragonheart/an-interactive-data-science-tutorial-85a67d", "kernel_id": "229441"}, {"ref": "chrigisenn/notebook-8e6a7ff32ea135368ade", "kernel_id": "74363"}, {"ref": "priyankaraghavan/a-journey-through-titanic", "kernel_id": "110268"}, {"ref": "priyankaraghavan/notebook61b3e166bd", "kernel_id": "260230"}, {"ref": "priyankaraghavan/notebookb4ff41a6d9", "kernel_id": "260225"}, {"ref": "fursova/notebook66f58c468d", "kernel_id": "214878"}, {"ref": "chuanh/a-journey-through-titanic", "kernel_id": "88814"}, {"ref": "chuanh/a-journey-through-titanic-0ea52acf", "kernel_id": "89125"}, {"ref": "chuanh/a-journey-through-titanic-841e3adb", "kernel_id": "89363"}, {"ref": "gsordyl/a-journey-through-titanic", "kernel_id": "92846"}, {"ref": "gsordyl/notebook167565debb", "kernel_id": "214276"}, {"ref": "ashleyshi/titanic-machine-learning-with-python", "kernel_id": "89423"}, {"ref": "alfredzux/a-journey-through-titanic-bad7a233", "kernel_id": "100147"}, {"ref": "alfredzux/fork-of-a-journey-through-titanic-bad7a233", "kernel_id": "100168"}, {"ref": "alfredzux/a-journey-through-titanic", "kernel_id": "99926"}, {"ref": "rickrock89/simple-aproach-with-tidyverse-and-caret", "kernel_id": "278973"}, {"ref": "lordsauron/titanic-20170121", "kernel_id": "165879"}, {"ref": "angunz/r-notebook", "kernel_id": "76598"}, {"ref": "emilyzhang/notebooka22918d47c", "kernel_id": "94371"}, {"ref": "emilyzhang/a-journey-through-titanic", "kernel_id": "94543"}, {"ref": "emilyzhang/a-journey-through-titanic-daf4a5bd", "kernel_id": "94580"}, {"ref": "cuizhongjiang/a-journey-through-titanic", "kernel_id": "98464"}, {"ref": "dieudonneo/notebookbe3fb5291c", "kernel_id": "123896"}, {"ref": "scottafunkhouser/notebook-fa9d67a9a0f1956fb6dd", "kernel_id": "76717"}, {"ref": "scottafunkhouser/elastic-net", "kernel_id": "76718"}, {"ref": "mayankdhingra02/notebook5136f09220", "kernel_id": "230674"}, {"ref": "mayankdhingra02/notebookad1c28817b", "kernel_id": "228537"}, {"ref": "mayankdhingra02/notebookca72020ccc", "kernel_id": "218410"}, {"ref": "willbridges/exploring-survival-on-the-titanic", "kernel_id": "75167"}, {"ref": "gouveia944/try-nr1", "kernel_id": "263058"}, {"ref": "suryaveer/titanic-pred", "kernel_id": "499281"}, {"ref": "didikk/notebooka59ac9126c", "kernel_id": "110083"}, {"ref": "pyxide/notebookd98952e071", "kernel_id": "96081"}, {"ref": "tresdon/titanic-survival-classification-script", "kernel_id": "75886"}, {"ref": "zgo2016/titanic-logistic-regression", "kernel_id": "87481"}, {"ref": "shuimulinxi/notebook-eee8e16a9e187d22ce28", "kernel_id": "74761"}, {"ref": "shuimulinxi/notebook-05d981a66392b0982254", "kernel_id": "74763"}, {"ref": "shuimulinxi/a-journey-through-titanic", "kernel_id": "74750"}, {"ref": "shuimulinxi/notebook-e18c3d249b6b8b4ba0d2", "kernel_id": "74751"}, {"ref": "shuimulinxi/notebook-74d8d551b1a50ef37673", "kernel_id": "74753"}, {"ref": "shuimulinxi/notebook-70251cc97e096035b500", "kernel_id": "74754"}, {"ref": "bradleyscot/example", "kernel_id": "97255"}, {"ref": "ienoob/notebook319daded88", "kernel_id": "157076"}, {"ref": "changyaochen/titanic-first-try-on-kaggle", "kernel_id": "173393"}, {"ref": "changyaochen/fork-of-titanic", "kernel_id": "190194"}, {"ref": "changyaochen/titanic-prediction", "kernel_id": "190213"}, {"ref": "yahuheihei/fyj-s-test", "kernel_id": "174752"}, {"ref": "yahuheihei/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "174747"}, {"ref": "canderson30/notebook-ae267e777781f144691b", "kernel_id": "74770"}, {"ref": "harveywang/first-competition", "kernel_id": "130606"}, {"ref": "artpanov/notebook011aceee04", "kernel_id": "185054"}, {"ref": "dataprober/titanic-riddle", "kernel_id": "87292"}, {"ref": "tizzac/a-journey-through-titanic", "kernel_id": "74832"}, {"ref": "manujosephv/exploratory-data-analysis", "kernel_id": "81740"}, {"ref": "manujosephv/scikit-learn-ml-from-start-to-finish", "kernel_id": "81726"}, {"ref": "manujosephv/notebook-3b3d3f0dd32ab49f09ae", "kernel_id": "81763"}, {"ref": "reubensahae/preliminary-exploration", "kernel_id": "75975"}, {"ref": "eldermoha/mohafirstatempt", "kernel_id": "74824"}, {"ref": "frisonig/a-journey-through-titanic-59a03723", "kernel_id": "113296"}, {"ref": "mauricio88/first-model-on-titanic-dataset", "kernel_id": "75812"}, {"ref": "shantanugoel/notebook-b2d8ffd31e707122ac63", "kernel_id": "76324"}, {"ref": "nabazgh/titanic-data", "kernel_id": "122572"}, {"ref": "xtalita/exploratory-analysis", "kernel_id": "156369"}, {"ref": "xtalita/notebookd86bdd402c", "kernel_id": "156364"}, {"ref": "emma2016/notebook9d7fe4b700", "kernel_id": "218605"}, {"ref": "ddataguru/a-first-go-at-the-titanis", "kernel_id": "77570"}, {"ref": "aswanipranjal/a-journey-through-titanic", "kernel_id": "112482"}, {"ref": "antonm/decisiontree-score-0-81340", "kernel_id": "87941"}, {"ref": "antonm/randomforest", "kernel_id": "85879"}, {"ref": "antonm/scikit-learn-ml-from-start-to-finish", "kernel_id": "85592"}, {"ref": "askorde/notebook44818d1d1f", "kernel_id": "179265"}, {"ref": "askorde/script1-py", "kernel_id": "179267"}, {"ref": "andybuv/notebook46383e8192", "kernel_id": "201695"}, {"ref": "omoithesane/introduction-to-ensembling-stacking-in-python", "kernel_id": "190831"}, {"ref": "omoithesane/titanic-best-working-classifier", "kernel_id": "191024"}, {"ref": "omoithesane/first-test-tutorial-code", "kernel_id": "186123"}, {"ref": "jasonjang/titanic", "kernel_id": "116595"}, {"ref": "muditbhutani/notebookf04b64395e", "kernel_id": "99194"}, {"ref": "apudlomurillo/notebook-b3b99b05ba197091d578", "kernel_id": "76543"}, {"ref": "apudlomurillo/titanic-r", "kernel_id": "76548"}, {"ref": "crlane/titanic-learning", "kernel_id": "259005"}, {"ref": "chidoziemgbemena/exploring-survival-on-the-titanic", "kernel_id": "75144"}, {"ref": "ramyakoneru/titanic", "kernel_id": "76747"}, {"ref": "sharma72/titanic-survival-prediction", "kernel_id": "84916"}, {"ref": "sharma72/test-first", "kernel_id": "75251"}, {"ref": "prateeks/titanic-passenger-survival", "kernel_id": "97898"}, {"ref": "derceto/testsdf", "kernel_id": "123706"}, {"ref": "tennissuperstar/a-journey-through-titanic", "kernel_id": "87005"}, {"ref": "tennissuperstar/notebookb393e446dc", "kernel_id": "86997"}, {"ref": "tennissuperstar/notebook34e5e816dd", "kernel_id": "86998"}, {"ref": "tennissuperstar/dataquest-2", "kernel_id": "87000"}, {"ref": "tennissuperstar/notebook7bac32e799", "kernel_id": "86268"}, {"ref": "tennissuperstar/dataquest-tutorial", "kernel_id": "86269"}, {"ref": "alcazar90/first-incursion-to-the-titanic-disaster-and-kaggle", "kernel_id": "598127"}, {"ref": "davetch/titanic-test", "kernel_id": "96108"}, {"ref": "kashchilakamarthy/starting-i", "kernel_id": "183117"}, {"ref": "kashchilakamarthy/kash-s-notebook", "kernel_id": "182938"}, {"ref": "kashchilakamarthy/titanic-random-forest-82-78", "kernel_id": "184589"}, {"ref": "yamashiro/notebook8184cfba28", "kernel_id": "115112"}, {"ref": "yamashiro/first-kaggle-titanic", "kernel_id": "115145"}, {"ref": "zhongweili/notebook-9f1d09b92447250e9869", "kernel_id": "77263"}, {"ref": "snailcoder/notebook-54425a52b11b3a7bdf65", "kernel_id": "80060"}, {"ref": "superwell/notebook1ea1dea943", "kernel_id": "104694"}, {"ref": "superwell/testing", "kernel_id": "104699"}, {"ref": "jchess/notebook-8534a8924c4ab56bceef", "kernel_id": "75327"}, {"ref": "chlakshminarayana/notebook1eb9736667", "kernel_id": "233251"}, {"ref": "lserra/titanic-data-analysis-and-machine-learning", "kernel_id": "157863"}, {"ref": "touhami/a-journey-through-titanic", "kernel_id": "149195"}, {"ref": "nikhilpandey/an-interactive-data-science-tutorial", "kernel_id": "211239"}, {"ref": "nikhilpandey/titanic-survival-project", "kernel_id": "132163"}, {"ref": "yifant/test1", "kernel_id": "115963"}, {"ref": "yuichiro1988/a-journey-through-titanic", "kernel_id": "108624"}, {"ref": "namsbhulawat/a-journey-through-titanic", "kernel_id": "182620"}, {"ref": "namsbhulawat/notebook5954c4485b", "kernel_id": "180004"}, {"ref": "takigiku/test-0", "kernel_id": "167005"}, {"ref": "mugenjoka/notebookfeb86797d7", "kernel_id": "132262"}, {"ref": "mugenjoka/notebook3927dca8e0", "kernel_id": "132264"}, {"ref": "mugenjoka/titanic-survival-prediction", "kernel_id": "132266"}, {"ref": "anuraagl/notebook-6f58ab7f6d34378ece32", "kernel_id": "75531"}, {"ref": "veetil09/playground-titanic-dataset", "kernel_id": "98901"}, {"ref": "mailakshdeep/titanic-survival-prediction-r", "kernel_id": "264112"}, {"ref": "mreca89/titanic-tutorial-practice-mreca", "kernel_id": "126130"}, {"ref": "hhesse/notebooke46ba3a54c", "kernel_id": "278141"}, {"ref": "liangfenglei/notebookfa1477af64", "kernel_id": "123689"}, {"ref": "amangadia/titanic", "kernel_id": "102214"}, {"ref": "antimatter31093/first", "kernel_id": "77023"}, {"ref": "pshepjr/a-journey-through-titanic", "kernel_id": "92419"}, {"ref": "nguyenhoduy/duy-titanic", "kernel_id": "78005"}, {"ref": "allafr/a-journey-through-titanic", "kernel_id": "105341"}, {"ref": "cherryjoyce/notebook7498fee01f", "kernel_id": "107813"}, {"ref": "nimitshah/titanic", "kernel_id": "84395"}, {"ref": "dofollow/notebook-31e476c021e540881e44", "kernel_id": "81006"}, {"ref": "dofollow/notebook4a19ff2b7b", "kernel_id": "87352"}, {"ref": "sachinkv/notebook3b277cfad7", "kernel_id": "187652"}, {"ref": "kyleedwards/notebookf89fa8e0b6", "kernel_id": "86572"}, {"ref": "kyleedwards/notebook3bba9482f4", "kernel_id": "86570"}, {"ref": "ishantanu/a-journey-through-titanic", "kernel_id": "99673"}, {"ref": "paras33/exploring-survival-on-the-titanic", "kernel_id": "97094"}, {"ref": "bhatkeys/kaggle-titanic-001", "kernel_id": "81314"}, {"ref": "macintyre/notebook-ffe57e75d523bdf13333", "kernel_id": "77062"}, {"ref": "macintyre/notebook-158f952e3d39c67ad32c", "kernel_id": "78543"}, {"ref": "linhsuan/notebook09dcfb5361", "kernel_id": "228097"}, {"ref": "alfonzo/exploring-survival-on-the-titanic", "kernel_id": "87293"}, {"ref": "shahand/notebook61e7733fff", "kernel_id": "222937"}, {"ref": "mchowning/notebook-7ac7644515c99b6bdf61", "kernel_id": "76265"}, {"ref": "vkalashn/a-journey-through-titanic", "kernel_id": "76585"}, {"ref": "vkalashn/notebook-71de19e88479ec4bc8a5", "kernel_id": "76588"}, {"ref": "vkalashn/this-one-titanic", "kernel_id": "76589"}, {"ref": "fanyou/notebook-9ae467c37dcd3e8d9224", "kernel_id": "76330"}, {"ref": "cyykaggle/titanic", "kernel_id": "92179"}, {"ref": "pariscm/notebookdf8e97c97e", "kernel_id": "198737"}, {"ref": "pariscm/notebook5d1028d7a3", "kernel_id": "198757"}, {"ref": "franckh/notebookcfb0a12011", "kernel_id": "97973"}, {"ref": "leomcl/notebook2d6b531eb0", "kernel_id": "90925"}, {"ref": "darxtar/notebook-2f77932fc6e9c4a1424b", "kernel_id": "76121"}, {"ref": "darxtar/notebook-ca2341a11d50a252c2b9", "kernel_id": "76122"}, {"ref": "darxtar/test-01", "kernel_id": "76123"}, {"ref": "nicholasli/a-journey-through-titanic", "kernel_id": "106923"}, {"ref": "jgfrisk/installed-python-packages", "kernel_id": "76311"}, {"ref": "frankfeng/titanic", "kernel_id": "76386"}, {"ref": "bernolt/discovering-kaggle", "kernel_id": "76288"}, {"ref": "kushiwakamaru/notebooke4cbb68d51", "kernel_id": "198871"}, {"ref": "kushiwakamaru/notebook6c66e1e2f3", "kernel_id": "202952"}, {"ref": "mirofurtado/first-script", "kernel_id": "83884"}, {"ref": "mirofurtado/new-try", "kernel_id": "83960"}, {"ref": "ricgby/notebook8ff88bbc9f", "kernel_id": "244975"}, {"ref": "dihan666/notebook62b5c3825a", "kernel_id": "87212"}, {"ref": "mix060514/notebookd342a7bcb2", "kernel_id": "199127"}, {"ref": "mix060514/notebookc59d2e2996", "kernel_id": "199117"}, {"ref": "robmaslh/notebook8817d20706", "kernel_id": "94999"}, {"ref": "xingkong/titanic-data-analysis-and-machine-learning", "kernel_id": "158244"}, {"ref": "xingkong/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "158250"}, {"ref": "ykouame/notebookfb13e2c9e2", "kernel_id": "245656"}, {"ref": "lizamcmc/titanic-predictions-random-forests-80", "kernel_id": "211798"}, {"ref": "lojian/notebook-6ab01377cc97701a7c53", "kernel_id": "76293"}, {"ref": "craigalb/first-script-titanic-data", "kernel_id": "76362"}, {"ref": "ilona0925/notebook-2c1f00dba832d993c30d", "kernel_id": "78412"}, {"ref": "isaaczurn/notebook-a87ea278cf422977bbf6", "kernel_id": "76390"}, {"ref": "xchiron/bokeh-test-with-titanic", "kernel_id": "114057"}, {"ref": "kvsista/titanic1onkaggle", "kernel_id": "79193"}, {"ref": "ankur30/a-journey-through-titanic", "kernel_id": "80116"}, {"ref": "niveln/mxnet-1", "kernel_id": "80631"}, {"ref": "mklkmr/notebook55baed90da", "kernel_id": "206401"}, {"ref": "gbouts/notebooka7e4abd098", "kernel_id": "228273"}, {"ref": "gbouts/test123", "kernel_id": "228260"}, {"ref": "ykprasad/titanic-data-science-solutions", "kernel_id": "209736"}, {"ref": "kaustabh93/a-journey-through-titanic", "kernel_id": "117747"}, {"ref": "aceloc/a-journey-through-titanic-671d5b", "kernel_id": "193089"}, {"ref": "aceloc/a-journey-through-titanic", "kernel_id": "169488"}, {"ref": "kingjuliyen/notebook2787f456e5", "kernel_id": "278820"}, {"ref": "parasgeni/a-journey-through-titanic", "kernel_id": "100048"}, {"ref": "justindomingue/notebook-a7952e54c042de8c5555", "kernel_id": "79479"}, {"ref": "garrettlevine/notebook1209a1569b", "kernel_id": "91315"}, {"ref": "lelpresidente/titanic-data-science-solutions", "kernel_id": "194857"}, {"ref": "jasonborn/notebook-81d0ec4f0a09a912b472", "kernel_id": "80069"}, {"ref": "jasonborn/titanic-starter", "kernel_id": "80070"}, {"ref": "anonymous6/titanic", "kernel_id": "78265"}, {"ref": "anonymous6/random-forests", "kernel_id": "78577"}, {"ref": "sandratierno/predictive-analytics-for-titanic", "kernel_id": "111717"}, {"ref": "dom1997/notebook43f7386757", "kernel_id": "111718"}, {"ref": "hxshine/a-journey-through-titanic", "kernel_id": "76817"}, {"ref": "safekidda/notebook-d572547241044cbff5b1", "kernel_id": "76812"}, {"ref": "safekidda/notebook559641270a", "kernel_id": "156302"}, {"ref": "safekidda/notebook48ef28d180", "kernel_id": "151704"}, {"ref": "safekidda/titanic-random-forest-82-78", "kernel_id": "184356"}, {"ref": "safekidda/notebook92f1bd7d8f", "kernel_id": "255234"}, {"ref": "qlzdq5688/titanic", "kernel_id": "148998"}, {"ref": "laxypaxy/notebook-7a87730fc520821d5e05", "kernel_id": "84507"}, {"ref": "badicst/a-journey-through-titanic", "kernel_id": "97237"}, {"ref": "badicst/decision-trees-sj", "kernel_id": "97660"}, {"ref": "badicst/a-journey-through-titanic-03065b85", "kernel_id": "97652"}, {"ref": "bdsines007/a-journey-through-titanic", "kernel_id": "137020"}, {"ref": "zjplab/introduction-to-ensembling-stacking-in-python", "kernel_id": "202951"}, {"ref": "kingarthurie/titanik", "kernel_id": "80274"}, {"ref": "kingarthurie/gendermodel", "kernel_id": "80282"}, {"ref": "kingarthurie/titanic-practice", "kernel_id": "102275"}, {"ref": "farmerbob/notebook-51a46fcee23ba24ce037", "kernel_id": "76977"}, {"ref": "farmerbob/notebook-1ac80efeca4a47cd5e4b", "kernel_id": "76978"}, {"ref": "jungleczj/pytanic", "kernel_id": "276575"}, {"ref": "rammohan1994/random-forest-benchmark-r", "kernel_id": "78845"}, {"ref": "cepheaus/notebook29eb42edfc", "kernel_id": "121535"}, {"ref": "lateagain/titanic-test-script", "kernel_id": "77178"}, {"ref": "ijontichy/firstattempt", "kernel_id": "82271"}, {"ref": "ijontichy/notebook-ed59b2bd3b26e3189377", "kernel_id": "82566"}, {"ref": "ashutosh3197/a-journey-through-titanic-30eb2ce0", "kernel_id": "98806"}, {"ref": "ashutosh3197/a-journey-through-titanic-b12d3e8f", "kernel_id": "98754"}, {"ref": "ashutosh3197/a-journey-through-titanic-e778ece9", "kernel_id": "97966"}, {"ref": "ashutosh3197/a-journey-through-titanic", "kernel_id": "97952"}, {"ref": "lseiyjg/a-journey-through-titanic", "kernel_id": "135580"}, {"ref": "lseiyjg/titanic-best-working-classifier", "kernel_id": "135830"}, {"ref": "lseiyjg/titanic-best-working-classifier-c06e90be", "kernel_id": "135836"}, {"ref": "johndahomey/notebook0d3902426b", "kernel_id": "253868"}, {"ref": "norio0925/titanic-data-science-solutions", "kernel_id": "244473"}, {"ref": "skinij/notebook132ce2f46f", "kernel_id": "119901"}, {"ref": "vishalprem/myfirstkagglescript", "kernel_id": "79162"}, {"ref": "rowpri/try02", "kernel_id": "77123"}, {"ref": "preexistent/notebook2fca30f1a9", "kernel_id": "105483"}, {"ref": "preexistent/exploratory-tutorial-titanic", "kernel_id": "106874"}, {"ref": "bartekwolowiec/installed-python-packages", "kernel_id": "80103"}, {"ref": "bartekwolowiec/test2", "kernel_id": "80105"}, {"ref": "bartekwolowiec/test-notebook", "kernel_id": "80100"}, {"ref": "bartekwolowiec/test-bartekw", "kernel_id": "80101"}, {"ref": "rdevgon/notebook2ebc653b4c", "kernel_id": "89348"}, {"ref": "magicsaltyfish/notebook-232f67bbc87ef2cdc334", "kernel_id": "77192"}, {"ref": "magicsaltyfish/notebook-98c9363b04c731ef1ef2", "kernel_id": "77193"}, {"ref": "magicsaltyfish/hihihi", "kernel_id": "77194"}, {"ref": "red79phoenix/scriptautogen", "kernel_id": "86300"}, {"ref": "red79phoenix/titanic-passenger-survival", "kernel_id": "89096"}, {"ref": "red79phoenix/partial-workflow-statistics-visualizations-r", "kernel_id": "101997"}, {"ref": "red79phoenix/partial-workflow-stats-visualizations-py", "kernel_id": "102407"}, {"ref": "sgladwe/a-journey-through-titanic", "kernel_id": "202581"}, {"ref": "drburke/notebookf0bbefa1d5", "kernel_id": "177700"}, {"ref": "mattschwartz/a-journey-through-titanic", "kernel_id": "191425"}, {"ref": "meeththakkar/perceptron-implementation", "kernel_id": "79593"}, {"ref": "meeththakkar/titanic-randomforest-kfold-python", "kernel_id": "81716"}, {"ref": "axelius/analyzing-data", "kernel_id": "91831"}, {"ref": "luguodb/testetes", "kernel_id": "79946"}, {"ref": "dckyoung/let-s-roll-with-titanic", "kernel_id": "234341"}, {"ref": "dckyoung/notebook11e2bf838c", "kernel_id": "202681"}, {"ref": "dckyoung/notebooked7208643c", "kernel_id": "202669"}, {"ref": "joezhu/notebook-6beb119a94cdeb673517", "kernel_id": "78995"}, {"ref": "karandesai16/train1", "kernel_id": "77443"}, {"ref": "buhaozi/titanic", "kernel_id": "90964"}, {"ref": "buhaozi/my-first-script-for-titanic-wreck", "kernel_id": "90969"}, {"ref": "cindyxinyiwang/notebook-300374c3dc6623009125", "kernel_id": "80499"}, {"ref": "bulletcross/notebook49f07e1863", "kernel_id": "272450"}, {"ref": "sharnam19/notebook42c23a9abc", "kernel_id": "123007"}, {"ref": "sharnam19/notebook108cbebf0c", "kernel_id": "107197"}, {"ref": "rockmama/titanic-using-python", "kernel_id": "342002"}, {"ref": "dancoombs/testing", "kernel_id": "98595"}, {"ref": "dancoombs/a-journey-through-titanic", "kernel_id": "98591"}, {"ref": "genieeeeeee/exploring-python-data-vis", "kernel_id": "82219"}, {"ref": "genieeeeeee/a-journey-through-titanic", "kernel_id": "177444"}, {"ref": "ahoiii/notebook545288e8a0", "kernel_id": "203082"}, {"ref": "ahoiii/titanic-data-science-solutions-a996e5", "kernel_id": "203469"}, {"ref": "zishan/notebook97ecaed330", "kernel_id": "91031"}, {"ref": "gkmishra/a-journey-through-titanic", "kernel_id": "125252"}, {"ref": "kemuel/xgboost-no-feature-engineering", "kernel_id": "276000"}, {"ref": "sourabhparime/sourabh-s-notebook", "kernel_id": "78466"}, {"ref": "zhangbaba/a-journey-through-titanic", "kernel_id": "186148"}, {"ref": "satchel/fork-of-a-journey-through-titanic-test", "kernel_id": "155432"}, {"ref": "satchel/a-journey-through-titanic", "kernel_id": "86246"}, {"ref": "satchel/a-journey-through-titanic-test", "kernel_id": "86248"}, {"ref": "velteit/notebook781c66cac9", "kernel_id": "246783"}, {"ref": "ahoerman/titanic", "kernel_id": "92717"}, {"ref": "ahoerman/notebook9496e52f39", "kernel_id": "92718"}, {"ref": "cnukaus/a-journey-through-titanic", "kernel_id": "95071"}, {"ref": "fiensop/tests-random-forest", "kernel_id": "84692"}, {"ref": "kooshatp/a-journey-through-titanic", "kernel_id": "101520"}, {"ref": "gnomeosaurus/pytanic", "kernel_id": "267255"}, {"ref": "arnaudd/notebook8ccdfefcb7", "kernel_id": "122241"}, {"ref": "mhardin/titanic-with-random-forest", "kernel_id": "77983"}, {"ref": "mhardin/titanic-simple-gender-and-age-criteria", "kernel_id": "82328"}, {"ref": "yuanxu/a-journey-through-titanic", "kernel_id": "91244"}, {"ref": "jgoldschmidt/notebook1c47b27898", "kernel_id": "219205"}, {"ref": "jkvetnaya/myfirstforest-py", "kernel_id": "168866"}, {"ref": "helinhai/notebookb1c6e04598", "kernel_id": "233461"}, {"ref": "helinhai/tatanic-learning", "kernel_id": "233462"}, {"ref": "xxorg3/test2", "kernel_id": "153135"}, {"ref": "r3dmaotech/notebook-7c97025193b187161cb4", "kernel_id": "79130"}, {"ref": "r3dmaotech/notebook-c0c21a159850e96a46fe", "kernel_id": "79131"}, {"ref": "r3dmaotech/rf-replace-missing-value-automatically", "kernel_id": "79334"}, {"ref": "saados/notebook5efd2c3db9", "kernel_id": "214823"}, {"ref": "christhomas17/notebook-b4df5f5d65f3ba18bd79", "kernel_id": "78229"}, {"ref": "vignanl/introduction-to-ensembling-stacking-in-python", "kernel_id": "188544"}, {"ref": "vignanl/notebook58c402845a", "kernel_id": "174205"}, {"ref": "emirates/bbbbbb", "kernel_id": "127814"}, {"ref": "jayavardhanr/notebookf1443d6802", "kernel_id": "240110"}, {"ref": "suyuti/notebookae01bb5533", "kernel_id": "260531"}, {"ref": "annamittermair/notebook4dda4207ba", "kernel_id": "142361"}, {"ref": "annamittermair/notebook0b371a115b", "kernel_id": "142201"}, {"ref": "lianyangfeng/titanic-data-science-solutions", "kernel_id": "187950"}, {"ref": "lianyangfeng/titanic-data-science-solutions-a6f51e", "kernel_id": "190378"}, {"ref": "lucyq228/a-journey-through-titanic", "kernel_id": "109444"}, {"ref": "lucyq228/social-network-for-titanic-family-members", "kernel_id": "228402"}, {"ref": "katiej16/titanic", "kernel_id": "86018"}, {"ref": "rajat97/a-journey-through-titanic", "kernel_id": "80243"}, {"ref": "rudyaxle/notebook-7e4d29112b598e9c41b4", "kernel_id": "78972"}, {"ref": "sivpee/machine-learning-titanic-sivpee", "kernel_id": "697078"}, {"ref": "vishwas00000/notebookcf25432f40", "kernel_id": "248298"}, {"ref": "vishwas00000/notebook3531ae808d", "kernel_id": "243969"}, {"ref": "vishwas00000/titanic-first-try", "kernel_id": "243922"}, {"ref": "liuchengxu/a-journey-through-titanic-fa5c6bf7", "kernel_id": "100609"}, {"ref": "stewarthr1/introduction-to-ensembling-stacking-in-python", "kernel_id": "185403"}, {"ref": "stewarthr1/a-journey-through-titanic-cffb2e", "kernel_id": "185415"}, {"ref": "snakefinger/default-script", "kernel_id": "188945"}, {"ref": "mohammedkhamisamro/an-interactive-data-science-tutorial", "kernel_id": "181200"}, {"ref": "sidhere/exploring-survival-on-the-titanic", "kernel_id": "84214"}, {"ref": "anurag551/a-journey-through-titanic", "kernel_id": "87231"}, {"ref": "utsavbhargava/utsav-titanic", "kernel_id": "107932"}, {"ref": "utsavbhargava/notebook1e8eb0e309", "kernel_id": "107934"}, {"ref": "klin90/simple-and-parsimonious-5-features-79-9", "kernel_id": "294576"}, {"ref": "rilindkr/notebook43fa3fa7ee", "kernel_id": "208435"}, {"ref": "lzbthb/gender-test", "kernel_id": "120962"}, {"ref": "degravek/notebook-6ad1f91b6eff9844ec04", "kernel_id": "78745"}, {"ref": "degravek/notebook-7fcea6ad6127852191a2", "kernel_id": "78735"}, {"ref": "degravek/notebook-d9d7f561461beabc8e55", "kernel_id": "78738"}, {"ref": "degravek/notebook-628cbcd5eb4a30848200", "kernel_id": "78733"}, {"ref": "degravek/notebook-2d6e0734ad1ba241b2b1", "kernel_id": "78730"}, {"ref": "degravek/notebook-4c7d8ab99cc63ca3684d", "kernel_id": "78731"}, {"ref": "degravek/notebook-1741cb9a4a07aaf1b5df", "kernel_id": "78722"}, {"ref": "degravek/titanic-machine-learning-from-disaster", "kernel_id": "78723"}, {"ref": "degravek/notebook-28f5a1812689214f24d3", "kernel_id": "78724"}, {"ref": "degravek/notebook-bfced21f3f6044775495", "kernel_id": "78725"}, {"ref": "degravek/notebook-3a3f2fa4655cec24242a", "kernel_id": "78726"}, {"ref": "degravek/notebook-d725bf69c80a3446633b", "kernel_id": "78727"}, {"ref": "dixonhu/study-of-tree-and-forest-algorithms", "kernel_id": "95264"}, {"ref": "dixonhu/titanic-survival-prediction-in-python-with-xgboost", "kernel_id": "94723"}, {"ref": "dixonhu/democracy-in-ml-ensembles", "kernel_id": "95284"}, {"ref": "dixonhu/random-forest-from-dixon", "kernel_id": "95539"}, {"ref": "rahenri/tensorflow", "kernel_id": "97220"}, {"ref": "rahenri/train", "kernel_id": "97215"}, {"ref": "rahenri/data-analysis", "kernel_id": "102983"}, {"ref": "neopalmas/a-journey-through-titanic", "kernel_id": "80555"}, {"ref": "fehiepsi/a-journey-through-titanic-e3738683", "kernel_id": "140430"}, {"ref": "fehiepsi/a-journey-through-titanic", "kernel_id": "139768"}, {"ref": "kotobormot/notebooke86b162a5d", "kernel_id": "158231"}, {"ref": "akshayub/notebook04ee539aae", "kernel_id": "148701"}, {"ref": "ivanukhov/titanic", "kernel_id": "525022"}, {"ref": "eliekawerk/titanic-learning-from-a-disaster", "kernel_id": "179299"}, {"ref": "welyjs/notebook-62d1ed03be8b9cb7cf15", "kernel_id": "79324"}, {"ref": "artandplay/notebook47a6fd41d6", "kernel_id": "113222"}, {"ref": "tylerwince/a-journey-through-titanic", "kernel_id": "141630"}, {"ref": "tylerwince/a-journey-through-titanic-c36bdca2", "kernel_id": "143072"}, {"ref": "tylerwince/notebook08f47125dc", "kernel_id": "161726"}, {"ref": "alexindata/titanic-kernel-1st-run-python-3-sklearn-rf", "kernel_id": "175489"}, {"ref": "alexindata/titanic-kernel-1st-run-r-caret-random-forest", "kernel_id": "184191"}, {"ref": "pengkj/titantic", "kernel_id": "202164"}, {"ref": "deepburner/an-interactive-data-science-tutorial", "kernel_id": "171072"}, {"ref": "gopi34/notebook6b4e7b6b24", "kernel_id": "203666"}, {"ref": "koenigsreiter/notebook-ad467572ea13d124cdb6", "kernel_id": "79210"}, {"ref": "anzch1999/titanicdisaster", "kernel_id": "115389"}, {"ref": "anzch1999/titanicdisastergeneralizer", "kernel_id": "115399"}, {"ref": "anzch1999/titanicdiastergeneralizer", "kernel_id": "115405"}, {"ref": "hiteshp/head-start-for-data-scientist", "kernel_id": "507847"}, {"ref": "hiteshp/r-to-python-tutorial", "kernel_id": "678890"}, {"ref": "hiteshp/python-to-r-tutorial", "kernel_id": "678906"}, {"ref": "gordothegecko/titanic", "kernel_id": "115401"}, {"ref": "fmughal/notebook363de91a31", "kernel_id": "166658"}, {"ref": "thiruvengadamkalai/a-journey-through-titanic", "kernel_id": "113877"}, {"ref": "xydeng/notebook026566efda", "kernel_id": "263167"}, {"ref": "peerac/a-journey-through-titanic", "kernel_id": "164876"}, {"ref": "megala29/notebookc45fe10cb8", "kernel_id": "280382"}, {"ref": "tejasrd/notebooka8146ec9d5", "kernel_id": "216992"}, {"ref": "oliver5/start", "kernel_id": "167840"}, {"ref": "oliver5/notebook4c75885d7e", "kernel_id": "167835"}, {"ref": "brianaround/working-with-the-ticket", "kernel_id": "85322"}, {"ref": "myelinji/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "152529"}, {"ref": "ganj28/a-journey-through-titanic", "kernel_id": "102101"}, {"ref": "hcq201603/titanic", "kernel_id": "79567"}, {"ref": "hcq201603/hello", "kernel_id": "79704"}, {"ref": "abalki/a-journey-through-titanic", "kernel_id": "135887"}, {"ref": "alokdixit/lolqwedf", "kernel_id": "79655"}, {"ref": "guoliangwang/transform-by-rf", "kernel_id": "86159"}, {"ref": "guoliangwang/notebook-528c03d80b1fb4211dac", "kernel_id": "85480"}, {"ref": "jayasimhagp4r/titanic-basic", "kernel_id": "93121"}, {"ref": "sunnyrain/a-journey-through-titanic-67837e1e", "kernel_id": "93086"}, {"ref": "sunnyrain/a-journey-through-titanic-e71946da", "kernel_id": "93079"}, {"ref": "sunnyrain/a-journey-through-titanic-872a7a30", "kernel_id": "92609"}, {"ref": "sunnyrain/a-journey-through-titanic", "kernel_id": "92511"}, {"ref": "iashraf/testing-1", "kernel_id": "87218"}, {"ref": "iashraf/testing", "kernel_id": "87200"}, {"ref": "lunafire1989/notebook-63be82f20d0ac1cd96f6", "kernel_id": "79690"}, {"ref": "lunafire1989/notebook-3cdf04031f45896f1565", "kernel_id": "79691"}, {"ref": "lunafire1989/titanic", "kernel_id": "79692"}, {"ref": "inam2u/a-journey-through-titanic", "kernel_id": "120523"}, {"ref": "alekseyklementiev/notebook1d2c2477bc", "kernel_id": "102876"}, {"ref": "prasadpagade/notebook6aa4a0061b", "kernel_id": "111471"}, {"ref": "prasadpagade/titanic-survival-data-challenge", "kernel_id": "111275"}, {"ref": "defmycroft/notebook44b52dd185", "kernel_id": "122653"}, {"ref": "darcyyaoting/exploring-survival-on-the-titanic", "kernel_id": "79798"}, {"ref": "qeltium/notebookbba5d25c6d", "kernel_id": "219231"}, {"ref": "arbintimilsina/a-journey-through-titanic", "kernel_id": "88090"}, {"ref": "arbintimilsina/a-journey-through-titanic-1332c1a0", "kernel_id": "90880"}, {"ref": "arbintimilsina/a-journey-through-titanic-86e71f39", "kernel_id": "89546"}, {"ref": "rahulkush30/notebook0b9efd2cf8", "kernel_id": "161376"}, {"ref": "soapysoftware/titanic", "kernel_id": "80133"}, {"ref": "glaucooptions/a-journey-through-titanic", "kernel_id": "171516"}, {"ref": "mqvist/notebook-b5ed188d9c5a119f7eba", "kernel_id": "79979"}, {"ref": "mqvist/titanic", "kernel_id": "79980"}, {"ref": "simonzhang0158/notebook36ae3088ac", "kernel_id": "92459"}, {"ref": "ericfokou/notebook2d27407cbd", "kernel_id": "112412"}, {"ref": "guidoman/a-journey-through-titanic", "kernel_id": "113258"}, {"ref": "aideruike/notebook-titanic", "kernel_id": "268464"}, {"ref": "chasesc99/titanic-analysis-1", "kernel_id": "80108"}, {"ref": "vishwanath1997/first-project", "kernel_id": "91059"}, {"ref": "shubham15/notebook-8a22210dc24c9129f838", "kernel_id": "80096"}, {"ref": "shubham15/titanic-prediction", "kernel_id": "80097"}, {"ref": "unowhat/notebook-9533f9784a94fadfbfaf", "kernel_id": "80118"}, {"ref": "charlescostello/titanic-notebook", "kernel_id": "117250"}, {"ref": "gxexakis/and-that-s-my-first-kernel-notebook", "kernel_id": "80756"}, {"ref": "aws24689/notebook66e79daf41", "kernel_id": "118030"}, {"ref": "pingya/notebook-b695f573d3bde8620113", "kernel_id": "80469"}, {"ref": "zhiboyang/first-competition", "kernel_id": "191198"}, {"ref": "bewithgaurav/pehla-kaam", "kernel_id": "204623"}, {"ref": "pdelcoco/starting", "kernel_id": "277628"}, {"ref": "pdelcoco/notebookd98b6a665b", "kernel_id": "277632"}, {"ref": "denespanta/ensemble-8-algorithms", "kernel_id": "320615"}, {"ref": "tancent/a-journey-through-titanic", "kernel_id": "182227"}, {"ref": "amauryf/notebook-50fec660fe080f9f2f76", "kernel_id": "80960"}, {"ref": "billcohen/bills-book", "kernel_id": "80370"}, {"ref": "billcohen/notebook-e2fb0424dfaa180d0cca", "kernel_id": "80371"}, {"ref": "billcohen/notebook-74cdc0da9af12083cded", "kernel_id": "80373"}, {"ref": "shkliarskiy/notebook-e5698e3953dadfec4f46", "kernel_id": "80398"}, {"ref": "abistarun/titanic-survived-analysis-abistarun", "kernel_id": "346172"}, {"ref": "fortunezhang/a-journey-through-titanic", "kernel_id": "96477"}, {"ref": "montaigne66/titanic-data-science-solutions-d0a874-5c1bc6", "kernel_id": "237491"}, {"ref": "montaigne66/notebook717bcaafef", "kernel_id": "237193"}, {"ref": "montaigne66/test2", "kernel_id": "237195"}, {"ref": "montaigne66/titanic-machine-learning-from-disaster", "kernel_id": "237180"}, {"ref": "kateswierz/titanicr", "kernel_id": "85664"}, {"ref": "lmarchesoti/testt", "kernel_id": "81140"}, {"ref": "skxsephiroth/runtitanicscript", "kernel_id": "89724"}, {"ref": "rroy7504/titanic", "kernel_id": "139915"}, {"ref": "saranthiagarajan/notebookb8f319f1c1", "kernel_id": "86451"}, {"ref": "saranthiagarajan/survival", "kernel_id": "86452"}, {"ref": "anjowall/notebook8f4e49f479", "kernel_id": "109825"}, {"ref": "hoshigumo/notebook07df519371", "kernel_id": "226367"}, {"ref": "kswada/notebook-59c46af0567a17b938c6", "kernel_id": "81810"}, {"ref": "kevincbrosnan/titanic-an-exploration", "kernel_id": "109348"}, {"ref": "devarajanshiva/notebook98ee4fac08", "kernel_id": "149921"}, {"ref": "shyamogic/notebook961b8f0b75", "kernel_id": "276158"}, {"ref": "dylanrich/notebook-38e06376a1b8d0758809", "kernel_id": "81533"}, {"ref": "svesal/notebook8358deda03", "kernel_id": "169380"}, {"ref": "robingertenbach/notebook-3536be5198cab3a2c07a", "kernel_id": "82679"}, {"ref": "medavis30/titanic-s01", "kernel_id": "81036"}, {"ref": "xortical/fork-of-a-journey-through-titanic", "kernel_id": "219978"}, {"ref": "xortical/a-journey-through-titanic", "kernel_id": "219657"}, {"ref": "music2177/titanic-data-science-solutions", "kernel_id": "245843"}, {"ref": "marcosdemasi/teste", "kernel_id": "89912"}, {"ref": "celestewang/titanic-project-kaggle", "kernel_id": "89751"}, {"ref": "kirankaranth1/notebook8ba8aff462", "kernel_id": "264117"}, {"ref": "kirankaranth1/test1", "kernel_id": "264159"}, {"ref": "kirankaranth1/testnote", "kernel_id": "264192"}, {"ref": "kirankaranth1/notebook4b3cd3074b", "kernel_id": "264061"}, {"ref": "tariqsheikh01/notebook-cd06b9b7ef1bfa8323f9", "kernel_id": "80915"}, {"ref": "grdixit65/gaurav-first-test", "kernel_id": "231366"}, {"ref": "striderking/linear-regression-with-multiple-variable", "kernel_id": "213714"}, {"ref": "phamcong/notebook066dcfb894", "kernel_id": "154916"}, {"ref": "phamcong/notebook5ecfb39b29", "kernel_id": "154918"}, {"ref": "phamcong/notebook933050f9b4", "kernel_id": "154923"}, {"ref": "phamcong/a-journey-through-titanic", "kernel_id": "133319"}, {"ref": "gflorio/notebookb59717900f", "kernel_id": "113856"}, {"ref": "kanishk19/notebooke97f7c51a3", "kernel_id": "130306"}, {"ref": "kanishk19/notebook4f9f1ed23d", "kernel_id": "130317"}, {"ref": "kanishk19/notebook9b7243c2c2", "kernel_id": "277562"}, {"ref": "kratzlo/notebookdc4dc54df5", "kernel_id": "151685"}, {"ref": "praveshsj/a-journey-through-titanic-294958f4", "kernel_id": "123810"}, {"ref": "praveshsj/a-journey-through-titanic", "kernel_id": "113380"}, {"ref": "liveashish/notebook10d4366029", "kernel_id": "239686"}, {"ref": "xiaoranone/notebookd62dc42330", "kernel_id": "204020"}, {"ref": "xenots/titanic-pred-r", "kernel_id": "141180"}, {"ref": "luisapires/random-forest-benchmark-r", "kernel_id": "170616"}, {"ref": "psilveira/notebooka55f7330a9", "kernel_id": "247245"}, {"ref": "psilveira/tictanic-plinio", "kernel_id": "247234"}, {"ref": "psilveira/titanic-plinio", "kernel_id": "247223"}, {"ref": "mchinna/trytitanic1", "kernel_id": "84754"}, {"ref": "danyonyx/notebook976dd6fc0b", "kernel_id": "99176"}, {"ref": "snehilp/titanic-predictive-modelling", "kernel_id": "285161"}, {"ref": "skywalkerhc/notebook12093672cb", "kernel_id": "133436"}, {"ref": "skywalkerhc/titanic-best-working-classifier", "kernel_id": "143321"}, {"ref": "skywalkerhc/machine-learning-for-survival-prediction-2", "kernel_id": "143600"}, {"ref": "livc95/notebookf8b2a19c1e", "kernel_id": "94731"}, {"ref": "rkrimpen/titanictraining", "kernel_id": "82599"}, {"ref": "rkrimpen/notebook-e1fa844d829ca05c71c7", "kernel_id": "84100"}, {"ref": "mysalt/titanic-machine-learning-from-disaster", "kernel_id": "268214"}, {"ref": "doliwa/test-notebook", "kernel_id": "86514"}, {"ref": "adamflanagan/notebook7c642ad7be", "kernel_id": "152059"}, {"ref": "akshit2810/a-journey-through-titanic", "kernel_id": "88463"}, {"ref": "themarv/notebook0adbeb199a", "kernel_id": "92378"}, {"ref": "themarv/a-journey-through-titanic", "kernel_id": "109921"}, {"ref": "themarv/titanic", "kernel_id": "173392"}, {"ref": "themarv/a-journey-through-titanic-fbf4c0", "kernel_id": "194415"}, {"ref": "themarv/introduction-to-ensembling-stacking-in-python", "kernel_id": "194956"}, {"ref": "yurkin/test-1", "kernel_id": "91317"}, {"ref": "fasalmt/titanic-2", "kernel_id": "903196"}, {"ref": "ivanlflj/first-try-to-solve", "kernel_id": "95217"}, {"ref": "rpanchal1996/a-journey-through-titanic", "kernel_id": "94722"}, {"ref": "cta003/a-journey-through-titanic-274811ee", "kernel_id": "94278"}, {"ref": "maheshoruganti/notebook-80434154bad0e6259a1f", "kernel_id": "81835"}, {"ref": "maheshoruganti/notebook-998a1aa23b7fc8f5d7c8", "kernel_id": "81840"}, {"ref": "datafixer/testsd", "kernel_id": "81438"}, {"ref": "axc111/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "507979"}, {"ref": "abhilekhsingh041992/notebook-0f0a175815a2f287e022", "kernel_id": "84186"}, {"ref": "nhaksar/titanic", "kernel_id": "87726"}, {"ref": "tcousins/firsttry", "kernel_id": "88321"}, {"ref": "tcousins/notebookde016dca70", "kernel_id": "88294"}, {"ref": "mayankkk/an-interactive-data-science-tutorial", "kernel_id": "239656"}, {"ref": "cburke/notebook81074e6ea6", "kernel_id": "201335"}, {"ref": "ewinge/testing-iris", "kernel_id": "93638"}, {"ref": "dakele123/a-journey-through-titanic", "kernel_id": "97857"}, {"ref": "dakele123/a-journey-through-titanic-c70567fd", "kernel_id": "97861"}, {"ref": "mymkyt/xgb-fitting-practice", "kernel_id": "121277"}, {"ref": "moscolitos/a-journey-through-titanic", "kernel_id": "103073"}, {"ref": "mrgraham/a-journey-through-titanic", "kernel_id": "180279"}, {"ref": "mrgraham/titanic-random-forest-82-78", "kernel_id": "180449"}, {"ref": "mrgraham/titanic-random-forest-82-78-0a508ad4", "kernel_id": "180468"}, {"ref": "cmichy/dataset-processing-and-analysis", "kernel_id": "256363"}, {"ref": "danylchuk/gaussian-naive-bayes", "kernel_id": "81576"}, {"ref": "danylchuk/bernoulli-naive-bayes", "kernel_id": "84268"}, {"ref": "ayushmanmaku/notebook-33a4e3ea39f0098480ea", "kernel_id": "81612"}, {"ref": "genmao/titanic-view", "kernel_id": "140071"}, {"ref": "remylebeau/titanic-survivor-ml", "kernel_id": "216672"}, {"ref": "kurtis/kernel-test", "kernel_id": "258404"}, {"ref": "kurtis/notebook0156fba57a", "kernel_id": "258405"}, {"ref": "thomasgarman/a-journey-through-titanic", "kernel_id": "87384"}, {"ref": "thomasgarman/a-journey-through-titanic-9a06100d", "kernel_id": "87398"}, {"ref": "gwsetra/a-journey-through-titanic", "kernel_id": "153352"}, {"ref": "gwsetra/notebookfa7b31c3ed", "kernel_id": "156308"}, {"ref": "gwsetra/notebook6b98ba61ca", "kernel_id": "156309"}, {"ref": "justgettingstarted/predicting-titanic-deaths", "kernel_id": "81640"}, {"ref": "mkamson/intro-to-titanic", "kernel_id": "279575"}, {"ref": "elishay/titanic", "kernel_id": "209361"}, {"ref": "ddiaz23/a-journey-through-titanic", "kernel_id": "111575"}, {"ref": "ddiaz23/titantic-exploration", "kernel_id": "111527"}, {"ref": "registering/aaaaa", "kernel_id": "81739"}, {"ref": "wujustin/a-journey-through-titanic", "kernel_id": "131024"}, {"ref": "wujustin/notebook66701b778a", "kernel_id": "131765"}, {"ref": "wujustin/fork-of-a-journey-through-titanic-0cf6d5", "kernel_id": "238882"}, {"ref": "wujustin/fork-of-a-journey-through-titanic", "kernel_id": "238859"}, {"ref": "jankneumann/titanic-data-science-solutions", "kernel_id": "186559"}, {"ref": "stonedl/notebook5e81a58044", "kernel_id": "197862"}, {"ref": "ruaram/notebook7b910d127a", "kernel_id": "187165"}, {"ref": "ruaram/exploring-survival-on-the-titanic", "kernel_id": "96495"}, {"ref": "ruaram/notebookcad394c31b", "kernel_id": "135852"}, {"ref": "vbabchenkov/notebook4e1809ddc6", "kernel_id": "215539"}, {"ref": "witalik/notebook97b21085a7", "kernel_id": "109216"}, {"ref": "bshelton141/notebook25702fe5ed", "kernel_id": "248355"}, {"ref": "deevisha/notebook025d3a2f96", "kernel_id": "230646"}, {"ref": "miker2016/notebook382967de79", "kernel_id": "89670"}, {"ref": "miker2016/notebook89d8a6999f", "kernel_id": "89609"}, {"ref": "guled7/titanic-survival-predictions-data-analysis", "kernel_id": "315496"}, {"ref": "krishnaganesh/kaggle-try-1", "kernel_id": "224700"}, {"ref": "neerish/notebook-5a20001441c679d75ed6", "kernel_id": "82488"}, {"ref": "nithishthirmul/titanic-data-test1", "kernel_id": "145905"}, {"ref": "bruseinustc/script-py", "kernel_id": "89572"}, {"ref": "bruseinustc/script2-py", "kernel_id": "89722"}, {"ref": "adrianronayne/titanic-passenger-survival", "kernel_id": "106019"}, {"ref": "adrianronayne/titanic", "kernel_id": "93915"}, {"ref": "sagargupta36/sagar", "kernel_id": "246178"}, {"ref": "moonwalker/notebook04583c0339", "kernel_id": "88249"}, {"ref": "varad2512/titanic-survival-prediction", "kernel_id": "277777"}, {"ref": "varad2512/notebook22692962ee", "kernel_id": "393177"}, {"ref": "ynarapar/notebookaa68354cea", "kernel_id": "235492"}, {"ref": "igormurovannyi/notebook-ac470d6647131dbf6ad5", "kernel_id": "85578"}, {"ref": "mohammadshadan/random-forest-benchmark-r", "kernel_id": "146078"}, {"ref": "rmaurya/exploring-survival-on-the-titanic", "kernel_id": "139415"}, {"ref": "juanm12i/notebook-84252fb73eee752b8e95", "kernel_id": "84729"}, {"ref": "juanm12i/notebook-c16770bfe28d08c3b99f", "kernel_id": "84724"}, {"ref": "juanm12i/notebook-afbc780679b64a8fa5e8", "kernel_id": "82716"}, {"ref": "juanm12i/titanic2", "kernel_id": "82303"}, {"ref": "juanm12i/notebook-101c4e4036ac337f96cf", "kernel_id": "82305"}, {"ref": "juanm12i/titanic", "kernel_id": "82300"}, {"ref": "popularmit/first-r-in-titanic", "kernel_id": "90976"}, {"ref": "f19009/notebook597d8b1a1a", "kernel_id": "89597"}, {"ref": "zz0802/titanic-ml", "kernel_id": "101250"}, {"ref": "zz0802/titanic", "kernel_id": "101246"}, {"ref": "mjay27/notebook9a8c87247c", "kernel_id": "91423"}, {"ref": "seanzou/notebook44d9bacb85", "kernel_id": "164752"}, {"ref": "yanyushu/notebook82b06bf53d", "kernel_id": "208099"}, {"ref": "chaitya62/playing-around-with-titanic-dataset", "kernel_id": "436413"}, {"ref": "sid8491/titanic-svm", "kernel_id": "343474"}, {"ref": "invisibleman/exploring-survival-on-the-titanic", "kernel_id": "148163"}, {"ref": "pankaj810/notebook023eb69ddf", "kernel_id": "234553"}, {"ref": "ankit2406/notebook03cd3c8ee8", "kernel_id": "185091"}, {"ref": "kabya94/notebook-ae4cef83e9b96d9b5e14", "kernel_id": "84213"}, {"ref": "crieve/notebook-4221cfc3255e481167ee", "kernel_id": "82552"}, {"ref": "rakeshray/notebook6110db6f2d", "kernel_id": "184354"}, {"ref": "edopic/exploring-survival-on-the-titanic", "kernel_id": "82588"}, {"ref": "chc442/a-journey-through-titanic", "kernel_id": "159657"}, {"ref": "douglaspicolotto/a-journey-through-titanic-f5a35407", "kernel_id": "116779"}, {"ref": "douglaspicolotto/a-journey-through-titanic", "kernel_id": "112279"}, {"ref": "douglaspicolotto/notebook789258dbad", "kernel_id": "216160"}, {"ref": "douglaspicolotto/notebook0d9953dd55", "kernel_id": "212572"}, {"ref": "mwinnel/notebook-12e163094366bc0f45c4", "kernel_id": "85477"}, {"ref": "prevso1088/a-journey-through-titanic", "kernel_id": "160517"}, {"ref": "roman90/training-script-titanic", "kernel_id": "85603"}, {"ref": "seantacular/boarding-a-sinking-ship", "kernel_id": "82839"}, {"ref": "seantacular/notebook-de510cd7ca1bfc8736f6", "kernel_id": "82843"}, {"ref": "seantacular/notebook-234b5ad5a9f3a85a88a7", "kernel_id": "83928"}, {"ref": "seantacular/notebook-efc6b32253d2d2948956", "kernel_id": "84014"}, {"ref": "seantacular/notebook-498e0618fd64d568eaad", "kernel_id": "84011"}, {"ref": "seantacular/notebook-7a216c2874d9fb12be1b", "kernel_id": "84001"}, {"ref": "seantacular/notebook-3a552a0dbcf99de3584c", "kernel_id": "84002"}, {"ref": "seantacular/direct-copy", "kernel_id": "84183"}, {"ref": "seantacular/notebook-e5718da2ef7e550baccb", "kernel_id": "84140"}, {"ref": "seantacular/notebook-3e1dd5cf31575a68761d", "kernel_id": "84142"}, {"ref": "dascanvas/titanic-random-forest", "kernel_id": "642545"}, {"ref": "somitmittal/a-journey-through-titanic", "kernel_id": "192117"}, {"ref": "somitmittal/notebook86fbab230e", "kernel_id": "192089"}, {"ref": "somitmittal/titanic-notebook", "kernel_id": "274209"}, {"ref": "somitmittal/notebook8bd0c09bb5", "kernel_id": "273377"}, {"ref": "somitmittal/titanic", "kernel_id": "273379"}, {"ref": "violaciao/an-interactive-data-science-tutorial", "kernel_id": "177044"}, {"ref": "tanlikesmath/titanic", "kernel_id": "91668"}, {"ref": "tanlikesmath/xgboost", "kernel_id": "91440"}, {"ref": "tanlikesmath/titanic-xgboost", "kernel_id": "92519"}, {"ref": "rickyqiao1130/hehe1234", "kernel_id": "84094"}, {"ref": "imtechmonk/myfirst", "kernel_id": "84062"}, {"ref": "kshashank/first-titanic-implementation", "kernel_id": "84796"}, {"ref": "kshashank/notebook-ef833e14644d73a4ccd4", "kernel_id": "84808"}, {"ref": "kshashank/notebook-688e94ded26b1b8b0743", "kernel_id": "84809"}, {"ref": "kshashank/my-first-titanic-implementation", "kernel_id": "84810"}, {"ref": "kshashank/notebook-69ae141c8c75f4f17642", "kernel_id": "84811"}, {"ref": "kshashank/notebook-ab8b6d4be18dfd984bf9", "kernel_id": "84837"}, {"ref": "fanlu7311/a-journey-through-titanic", "kernel_id": "100405"}, {"ref": "threezj/titanic2", "kernel_id": "93529"}, {"ref": "threezj/titanic", "kernel_id": "93377"}, {"ref": "dingyuyang/a-journey-through-titanic", "kernel_id": "175676"}, {"ref": "dingyuyang/notebook15e3c9f8f8", "kernel_id": "175698"}, {"ref": "dingyuyang/titanic", "kernel_id": "175701"}, {"ref": "dingyuyang/notebook2f3eaa8aab", "kernel_id": "257018"}, {"ref": "nitant/notebook37261d2957", "kernel_id": "93272"}, {"ref": "eakalak/a-journey-through-titanic-26310b0a", "kernel_id": "92409"}, {"ref": "eakalak/titanic-survival-logistic-regression", "kernel_id": "92124"}, {"ref": "eakalak/a-journey-through-titanic", "kernel_id": "92112"}, {"ref": "moibnj/notebookd4a986dad8", "kernel_id": "131265"}, {"ref": "shridhar1991/randomforest-implementation-of-titanic", "kernel_id": "177083"}, {"ref": "shridhar1991/exploring-survival-on-the-titanic", "kernel_id": "177092"}, {"ref": "shridhar1991/titanic-random-forest-82-78", "kernel_id": "186128"}, {"ref": "mhl0116/notebook0736148d17", "kernel_id": "217689"}, {"ref": "nehabatra/notebookb125666609", "kernel_id": "212933"}, {"ref": "nehabatra/notebook3711d21be9", "kernel_id": "135668"}, {"ref": "xinmeng/introduction-to-ensembling-stacking-in-python", "kernel_id": "212856"}, {"ref": "xinmeng/titanic-best-working-classifier", "kernel_id": "237190"}, {"ref": "kofferdahl/notebook-653ac7c32afd25aecb12", "kernel_id": "84321"}, {"ref": "kofferdahl/notebook-21897841c738abfd50f4", "kernel_id": "84325"}, {"ref": "mountaindata/titanic-linear-svm-approach", "kernel_id": "120906"}, {"ref": "priyanka15047/a-journey-through-titanic", "kernel_id": "133672"}, {"ref": "priyanka15047/a-journey-through-titanic-6dbb6fe0", "kernel_id": "133700"}, {"ref": "priyanka15047/a-journey-through-titanic-3f9b0ff7", "kernel_id": "133683"}, {"ref": "sumitpathak92/titanic-machine-learning-from-disaster", "kernel_id": "238670"}, {"ref": "ivbelkin97/notebookaab15281e9", "kernel_id": "87910"}, {"ref": "youks99/titanic-study-youks99", "kernel_id": "593206"}, {"ref": "rishabh1khurana/titanic-visualization", "kernel_id": "231477"}, {"ref": "rishabh1khurana/notebook8e88a60f1c", "kernel_id": "231473"}, {"ref": "rishabh1khurana/logistic-regression-machine-learning-beginners", "kernel_id": "323402"}, {"ref": "rishabh1khurana/implementing-decision-tree", "kernel_id": "293381"}, {"ref": "rishabh1khurana/fork-of-notebook713e9c444d", "kernel_id": "292480"}, {"ref": "rrkc00/notebookbd55681bee", "kernel_id": "267504"}, {"ref": "rishhabhgarodia/first-run-on-titanic-notebook", "kernel_id": "219795"}, {"ref": "akash007/titanic-machine-learning", "kernel_id": "199592"}, {"ref": "phaseshift/notebook-b7a51b4c81eab1e73742", "kernel_id": "85059"}, {"ref": "phillipinator/titanic-test", "kernel_id": "84555"}, {"ref": "yogi007/wip-eda-titanic-machine-learning-from-disaster", "kernel_id": "975591"}, {"ref": "jagguu/passenger-survival-prediction-titanic", "kernel_id": "86712"}, {"ref": "grozzz/a-journey-through-titanic", "kernel_id": "124461"}, {"ref": "yoshubham/a-journey-through-titanic", "kernel_id": "86516"}, {"ref": "yoshubham/a-journey-through-titanic-54191669", "kernel_id": "86517"}, {"ref": "sona58/titanic-using-r", "kernel_id": "102965"}, {"ref": "kortex/a-journey-through-titanic", "kernel_id": "113876"}, {"ref": "srikanthnarayanan/a-journey-through-titanic", "kernel_id": "90551"}, {"ref": "fredlyy/a-journey-through-titanic", "kernel_id": "104130"}, {"ref": "rajdeepbasu/first-go-at-kaggle", "kernel_id": "252383"}, {"ref": "shitman/a-journey-through-titanic", "kernel_id": "99613"}, {"ref": "shitman/notebook3f6c645ca1", "kernel_id": "89274"}, {"ref": "firice/an-interactive-data-science-tutorial", "kernel_id": "239726"}, {"ref": "jeromeboe/cleaning-randomforest", "kernel_id": "362736"}, {"ref": "adktyakirloskar/titanicsubmmission", "kernel_id": "107632"}, {"ref": "bhill13/my-first-kaggle", "kernel_id": "123413"}, {"ref": "statisticalpirate/introduction-to-ensembling-stacking-in-python", "kernel_id": "191312"}, {"ref": "sourabh90/notebook3d2258292e", "kernel_id": "159513"}, {"ref": "pearsonk/a-naive-approach-to-prediction", "kernel_id": "730273"}, {"ref": "zaverichintan/titanic-predictions", "kernel_id": "97596"}, {"ref": "karvio/random-forest-benchmark-r", "kernel_id": "85008"}, {"ref": "odeliss/titanic-upgrade-06-06", "kernel_id": "278049"}, {"ref": "odeliss/titanic-prediction", "kernel_id": "276878"}, {"ref": "odeliss/notebook781f9fe209", "kernel_id": "276885"}, {"ref": "odeliss/titanic", "kernel_id": "276921"}, {"ref": "iforgotmynick/notebook66053f61e1", "kernel_id": "89072"}, {"ref": "tienanh2007/cse-627-titanic-challenge", "kernel_id": "415955"}, {"ref": "mackliu/scikit-learn-ml-from-start-to-finish", "kernel_id": "709380"}, {"ref": "franklinma/notebook9d75277a97", "kernel_id": "92228"}, {"ref": "cheerygirl9/notebookd3e8aba74d", "kernel_id": "116544"}, {"ref": "himanshuc971/notebook578c844cd6", "kernel_id": "208645"}, {"ref": "vmrosario/notebook9a8396f219", "kernel_id": "121187"}, {"ref": "hermitmax/titanic-python", "kernel_id": "413525"}, {"ref": "fenris/playing-with-titanic-s-data", "kernel_id": "85762"}, {"ref": "babacarmbengue/sctripttest", "kernel_id": "220657"}, {"ref": "ilavarshney/an-interactive-data-science-tutorial", "kernel_id": "172726"}, {"ref": "cpjain/myfirst", "kernel_id": "152477"}, {"ref": "marcmigge/exploring-the-titanic-competition-with-keras", "kernel_id": "201964"}, {"ref": "marcmigge/exploring-the-titanic-competition-with-tensorflow", "kernel_id": "194337"}, {"ref": "vladimirmironov/a-journey-through-titanic", "kernel_id": "103628"}, {"ref": "jaheduddin/notebook2d1817fcc5", "kernel_id": "246182"}, {"ref": "jerrywang/python-script", "kernel_id": "85793"}, {"ref": "varunpuligilla/varun2", "kernel_id": "86876"}, {"ref": "youngwill/notebook34988bbfbb", "kernel_id": "213703"}, {"ref": "shaxar/notebookf426a10e0d", "kernel_id": "129135"}, {"ref": "alekseyluchko/first-script", "kernel_id": "88272"}, {"ref": "jameswong1234/notebooka21c7511c2", "kernel_id": "182262"}, {"ref": "jameswong1234/titanic-machine-learning-from-disaster", "kernel_id": "88423"}, {"ref": "ahmedsaoudi/a-journey-through-titanic", "kernel_id": "86753"}, {"ref": "ahmedsaoudi/a-journey-through-titanic-68f6f09a", "kernel_id": "88491"}, {"ref": "kantologist/a-journey-through-titanic", "kernel_id": "184650"}, {"ref": "pierreaumjaud/notebookbfb96b778e", "kernel_id": "91811"}, {"ref": "gryph66/notebooke78c3d376d", "kernel_id": "86004"}, {"ref": "statinstilettos/titanic-survivals-random-forest", "kernel_id": "136107"}, {"ref": "lucasguarisco/exploring-survival-on-the-titanic", "kernel_id": "95256"}, {"ref": "jparlitsis/jdptest", "kernel_id": "126933"}, {"ref": "jparlitsis/testjdp", "kernel_id": "126934"}, {"ref": "sarahpark23/random-forest-benchmark-r-sarah", "kernel_id": "158541"}, {"ref": "sarahpark23/titanic-death-prediction-playground", "kernel_id": "158478"}, {"ref": "helloimyames/a-journey-through-titanic", "kernel_id": "99311"}, {"ref": "helloimyames/a-journey-through-titanic-cf6c53d3", "kernel_id": "104021"}, {"ref": "jahanzebk/a-journey-through-titanic", "kernel_id": "97713"}, {"ref": "nianhua/titanic-try", "kernel_id": "297573"}, {"ref": "keleiustc/notebookbf39230a67", "kernel_id": "237098"}, {"ref": "fzhurd/titanic-v11h4-20161230", "kernel_id": "148666"}, {"ref": "fzhurd/titanic-v11h4-20161231", "kernel_id": "148667"}, {"ref": "fzhurd/titanic-v11h4-20161230b", "kernel_id": "148670"}, {"ref": "fzhurd/titanic-v11h3-20161219", "kernel_id": "141087"}, {"ref": "fzhurd/titanic-v11h2-20161217", "kernel_id": "139332"}, {"ref": "fzhurd/tianic-v11h-20161216", "kernel_id": "138885"}, {"ref": "fzhurd/titanic-survive20161002v7s2", "kernel_id": "101542"}, {"ref": "fzhurd/titianic-survive20161002v7s", "kernel_id": "101539"}, {"ref": "fzhurd/titanic-suvive-initial-test-20160924v1", "kernel_id": "99385"}, {"ref": "fzhurd/titanic-20160924v1", "kernel_id": "99386"}, {"ref": "fzhurd/titanic-suvive20160924v4", "kernel_id": "99513"}, {"ref": "fzhurd/titanic-v8h2-20161210", "kernel_id": "134055"}, {"ref": "fzhurd/a-journey-through-titanic", "kernel_id": "135635"}, {"ref": "fzhurd/a-journey-through-titanic-efaa5a5a", "kernel_id": "135637"}, {"ref": "rahulv017/a-journey-through-titanic", "kernel_id": "86612"}, {"ref": "danstiner/titanic-attempt-1", "kernel_id": "158972"}, {"ref": "danstiner/a-journey-through-titanic", "kernel_id": "159064"}, {"ref": "rakesh2010/eedp-titanic-disaster-predict-passenger", "kernel_id": "86820"}, {"ref": "lingyili/testt", "kernel_id": "97932"}, {"ref": "yidatao/test-titanic", "kernel_id": "85856"}, {"ref": "yidatao/titanic-tutorial", "kernel_id": "85861"}, {"ref": "linzhun/a-journey-through-titanic", "kernel_id": "109562"}, {"ref": "brucexiaok2013/a-journey-through-titanic", "kernel_id": "85878"}, {"ref": "mehrdadmizani/no-excel-pivot-table-using-pandas-draft", "kernel_id": "124254"}, {"ref": "mehrdadmizani/notebook0663d294e9", "kernel_id": "124196"}, {"ref": "pankajtamhane/titanic-machine-learning-from-a-disaster", "kernel_id": "116609"}, {"ref": "timonv/a-journey-through-titanic", "kernel_id": "95722"}, {"ref": "sivasateeshi/titanic1", "kernel_id": "86671"}, {"ref": "dawson/visualization", "kernel_id": "123659"}, {"ref": "jross2/titanic-test", "kernel_id": "86280"}, {"ref": "jross2/titanic-1", "kernel_id": "86278"}, {"ref": "jross2/notebook42e42829ea", "kernel_id": "85988"}, {"ref": "bes0m3b0dy/notebook0c6f7a79aa", "kernel_id": "109439"}, {"ref": "bes0m3b0dy/titanic", "kernel_id": "109629"}, {"ref": "godfather2991/notebook8e66943295", "kernel_id": "254742"}, {"ref": "zkrakower/a-journey-through-titanic", "kernel_id": "111762"}, {"ref": "harshitrajgadia/exploring-survival-on-the-titanic", "kernel_id": "89295"}, {"ref": "fk1912/titanic-data-analysis-and-machine-learning", "kernel_id": "156905"}, {"ref": "kokod1/notebookdd83b78950", "kernel_id": "86592"}, {"ref": "kokod1/titanic-disaster-exploration", "kernel_id": "254945"}, {"ref": "oldflag/an-interactive-data-science-tutorial", "kernel_id": "223207"}, {"ref": "oldflag/exploring-survival-on-the-titanic-inr-frommegan", "kernel_id": "92509"}, {"ref": "oldflag/notebookf2487e0044", "kernel_id": "92505"}, {"ref": "oldflag/notebook099ce8f5ed", "kernel_id": "114632"}, {"ref": "waring/a-journey-through-titanic", "kernel_id": "140232"}, {"ref": "waring/fork-of-a-journey-through-titanic", "kernel_id": "140272"}, {"ref": "thucpk/first-script-run", "kernel_id": "104180"}, {"ref": "mrinal89/a-journey-through-titanic", "kernel_id": "100746"}, {"ref": "tkumari/ml1-titanic", "kernel_id": "217753"}, {"ref": "aaronchou/a-journey-through-titanic", "kernel_id": "95428"}, {"ref": "pcullen11/titanic1", "kernel_id": "86478"}, {"ref": "mikesch/a-journey-through-titanic", "kernel_id": "112358"}, {"ref": "v1s10n/notebook1a41a8215f", "kernel_id": "86354"}, {"ref": "evgiur/notebook0a35e9a4fc", "kernel_id": "134474"}, {"ref": "ravigoku/notebook40c9646cbf", "kernel_id": "86360"}, {"ref": "ducnm2305/notebook994e27c35c", "kernel_id": "89176"}, {"ref": "armandjohn/notebookf16bc53424", "kernel_id": "224772"}, {"ref": "armandjohn/notebookb25139ec64", "kernel_id": "224773"}, {"ref": "sudheer464/prediction-6-feature-engineering-randomforest", "kernel_id": "118500"}, {"ref": "sudheer464/prediction-3-on-fare-level", "kernel_id": "118382"}, {"ref": "sudheer464/prediction-5-on-decision-tree-rattle-package", "kernel_id": "118409"}, {"ref": "sudheer464/prediction-4-decision-tree", "kernel_id": "118396"}, {"ref": "sudheer464/prediction-9-working-on-decision-tree", "kernel_id": "119010"}, {"ref": "sudheer464/prediction-8-deep-dive-into-decision-tree", "kernel_id": "118988"}, {"ref": "sudheer464/prediction-3-1-assume-male-1st-class-survived", "kernel_id": "118911"}, {"ref": "sudheer464/prediction-1-on-titanic-dataset", "kernel_id": "117856"}, {"ref": "sudheer464/prediction-2-gender-class-model", "kernel_id": "118017"}, {"ref": "sudheer464/svm-model", "kernel_id": "119047"}, {"ref": "goonerrish/notebook12e237b5d5", "kernel_id": "205327"}, {"ref": "goonerrish/notebook73200e3f42", "kernel_id": "180070"}, {"ref": "vivekg342/notebook5ae7ef9d83", "kernel_id": "93387"}, {"ref": "vivekg342/notebookf8a67f3690", "kernel_id": "97225"}, {"ref": "vivekg342/explore-titanic-data-with-python", "kernel_id": "112963"}, {"ref": "mangalutsav/notebook23ff697a6c", "kernel_id": "160778"}, {"ref": "nidhisatrawala1992/first-code", "kernel_id": "152512"}, {"ref": "jialonso/a-journey-through-titanic", "kernel_id": "86690"}, {"ref": "eduardoli/a-journey-through-titanic", "kernel_id": "89316"}, {"ref": "eduardoli/study-of-tree-and-forest-algorithms", "kernel_id": "90157"}, {"ref": "toster/test-titanic", "kernel_id": "104170"}, {"ref": "toster/a-journey-through-titanic", "kernel_id": "104432"}, {"ref": "toster/choose-model-for-titanic-prediction", "kernel_id": "105046"}, {"ref": "toster/simple-voting-ensemble-for-the-titanic", "kernel_id": "106272"}, {"ref": "yzhao91/notebook6f045b5def", "kernel_id": "86488"}, {"ref": "caocongcong/a-journey-through-titanic", "kernel_id": "159295"}, {"ref": "caocongcong/a-journey-through-titanic-9f26c020", "kernel_id": "162615"}, {"ref": "supernihui/a-journey-through-titanic", "kernel_id": "160974"}, {"ref": "an07yu/notebooka90214efb8", "kernel_id": "233936"}, {"ref": "faustogc/my-first-kaggle-challenge", "kernel_id": "319697"}, {"ref": "faustogc/notebook27025156b3", "kernel_id": "214155"}, {"ref": "faustogc/notebook1d3dc45c3e", "kernel_id": "215869"}, {"ref": "remypasco/notebook5ebf1dddf8", "kernel_id": "268646"}, {"ref": "giladashpis/a-journey-through-titanic", "kernel_id": "86552"}, {"ref": "joaomenano/scikit-learn-ml-from-start-to-finish", "kernel_id": "86556"}, {"ref": "plombardi/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "156825"}, {"ref": "plombardi/notebook9be18f178f", "kernel_id": "156506"}, {"ref": "liamzheng0/titanic", "kernel_id": "101364"}, {"ref": "tantrinh/notebookec279d2e8f", "kernel_id": "145002"}, {"ref": "tantrinh/titanic-rf-prediction-0-81818", "kernel_id": "245188"}, {"ref": "zzqoxygen/notebookb2a4bbedc1", "kernel_id": "96893"}, {"ref": "zzqoxygen/a-journey-through-titanic", "kernel_id": "97445"}, {"ref": "zzqoxygen/first-script", "kernel_id": "97616"}, {"ref": "zzqoxygen/a-journey-through-titanic-32c55d0c", "kernel_id": "97617"}, {"ref": "mumumuyanyanyan/notebook7c0306a507", "kernel_id": "192135"}, {"ref": "mumumuyanyanyan/a-journey-through-titanic-9242a90a", "kernel_id": "178127"}, {"ref": "mumumuyanyanyan/a-journey-through-titanic", "kernel_id": "177360"}, {"ref": "mumumuyanyanyan/titanic-data-science-solutions", "kernel_id": "177381"}, {"ref": "mumumuyanyanyan/notebooka60f25d3ba", "kernel_id": "248477"}, {"ref": "nysun325/notebook8e380fd35a", "kernel_id": "96150"}, {"ref": "nysun325/firstkaggletest", "kernel_id": "95994"}, {"ref": "kurage10/notebookf60d937dfc", "kernel_id": "169894"}, {"ref": "theultimatecrouton/a-bit-further-into-the-wreckage", "kernel_id": "86718"}, {"ref": "akshatt94/a-journey-through-titanic", "kernel_id": "103408"}, {"ref": "margaretpearce/notebook696d2248c5", "kernel_id": "87111"}, {"ref": "margaretpearce/python-titanic", "kernel_id": "87112"}, {"ref": "sudeep135/kaggle-titanic-001", "kernel_id": "100198"}, {"ref": "sudeep135/a-journey-through-titanic", "kernel_id": "100018"}, {"ref": "kiranks/random-forest-benchmark-r", "kernel_id": "86722"}, {"ref": "kiranks/kiran10", "kernel_id": "86771"}, {"ref": "kiranks/notebook3f792f454f", "kernel_id": "86767"}, {"ref": "kiranks/kiran6", "kernel_id": "86769"}, {"ref": "morenull/5-day-data-challenge-day-1-python", "kernel_id": "472144"}, {"ref": "jok10gf/testing-titanic", "kernel_id": "86791"}, {"ref": "lambdanaut/titanic", "kernel_id": "90461"}, {"ref": "solankismitahamir/notebookac6ee05010", "kernel_id": "93987"}, {"ref": "solankismitahamir/exploring-survival-on-the-titanic", "kernel_id": "93988"}, {"ref": "aturner/exploring-survival-on-the-titanic", "kernel_id": "212669"}, {"ref": "mahesh27/titanic-data-science-solutions", "kernel_id": "208115"}, {"ref": "mahesh27/titanic-data-science-solutions-247902", "kernel_id": "208116"}, {"ref": "hal1013/notebookcf6209de1d", "kernel_id": "226366"}, {"ref": "danielshie/notebooka3994a828c", "kernel_id": "86867"}, {"ref": "skyagrawal/random-forest-benchmark-r", "kernel_id": "86850"}, {"ref": "spiderwasp42/a-journey-through-titanic", "kernel_id": "86939"}, {"ref": "blackbee2016/another-introduction-to-data-science", "kernel_id": "189129"}, {"ref": "blackbee2016/data-prep-cross-val-and-top-11", "kernel_id": "894965"}, {"ref": "natpasukit/notebookc3426c24ea", "kernel_id": "86873"}, {"ref": "natpasukit/natpatitanic", "kernel_id": "86874"}, {"ref": "tongjinle/notebooke2574babd5", "kernel_id": "220909"}, {"ref": "alexanderlv/notebook1e6d9eb68b", "kernel_id": "86893"}, {"ref": "alexanderlv/notebook38ad7aed7f", "kernel_id": "86888"}, {"ref": "alexanderlv/a-journey-through-titanic", "kernel_id": "121558"}, {"ref": "richarde/easy-pipeline-and-model-selection", "kernel_id": "423621"}, {"ref": "angadp/trying-for-top-10", "kernel_id": "400033"}, {"ref": "nithinmurali/a-journey-through-titanic", "kernel_id": "91872"}, {"ref": "smizzy/a-journey-through-titanic", "kernel_id": "104374"}, {"ref": "romikukreja/notebook0ee1e418db", "kernel_id": "106142"}, {"ref": "tracetidwell/trace-titanic-python-1", "kernel_id": "87017"}, {"ref": "tracetidwell/trace-titanic-python-solution", "kernel_id": "88084"}, {"ref": "tracetidwell/trace-titanic-python-2", "kernel_id": "87369"}, {"ref": "tracetidwell/notebookd27e4d603d", "kernel_id": "87264"}, {"ref": "tracetidwell/fork-of-trace-titanic-python-solution", "kernel_id": "88512"}, {"ref": "tracetidwell/rainforest", "kernel_id": "95258"}, {"ref": "tracetidwell/notebooke1ad574f19", "kernel_id": "138378"}, {"ref": "tracetidwell/notebook699d40da6e", "kernel_id": "138375"}, {"ref": "rgvanwesep/a-journey-through-titanic", "kernel_id": "89285"}, {"ref": "basanthjenuhb/notebook2ec77c5581", "kernel_id": "185433"}, {"ref": "basanthjenuhb/notebook5e8db1f2c3", "kernel_id": "185452"}, {"ref": "twillsie/a-journey-through-titanic", "kernel_id": "105035"}, {"ref": "sarahstory/a-journey-through-titanic", "kernel_id": "87069"}, {"ref": "sarahstory/a-journey-through-titanic-6c261f5b", "kernel_id": "87070"}, {"ref": "mmulthaup/notebookdad299260f", "kernel_id": "87030"}, {"ref": "balagopalks/notebook9cb3a2c98a", "kernel_id": "184391"}, {"ref": "gaurav1207/a-journey-through-titanic", "kernel_id": "96859"}, {"ref": "sanich/exploring-survival-on-the-titanic", "kernel_id": "89660"}, {"ref": "ekami66/notebookee12614b24", "kernel_id": "149941"}, {"ref": "shpandya/using-ml-to-predict-survival-of-the-titanic", "kernel_id": "220078"}, {"ref": "sauz2126/notebookda75e16c4e", "kernel_id": "115831"}, {"ref": "jychstar/notebookeb7e486b9f", "kernel_id": "131581"}, {"ref": "jychstar/titanic", "kernel_id": "131572"}, {"ref": "jychstar/a-journey-through-titanic-31ae97ca", "kernel_id": "131338"}, {"ref": "jychstar/a-journey-through-titanic", "kernel_id": "131333"}, {"ref": "jychstar/notebooke824b3e910", "kernel_id": "149460"}, {"ref": "bobur554396/titanic", "kernel_id": "98854"}, {"ref": "shantanuthakoor/scikit-learn-ml-from-start-to-finish", "kernel_id": "88562"}, {"ref": "reisel/imputation-and-feature-engineering", "kernel_id": "522801"}, {"ref": "reisel/save-the-families", "kernel_id": "134241"}, {"ref": "reisel/iterative-prediction-of-survival", "kernel_id": "937146"}, {"ref": "wutao1530663/introduction-to-ensembling-stacking-in-python", "kernel_id": "198091"}, {"ref": "wutao1530663/notebooka62fdadf6f", "kernel_id": "87612"}, {"ref": "wutao1530663/a-journey-through-titanic-4523f7cd", "kernel_id": "87625"}, {"ref": "wutao1530663/preliminary-exploration", "kernel_id": "87510"}, {"ref": "wutao1530663/a-journey-through-titanic", "kernel_id": "87453"}, {"ref": "wutao1530663/a-journey-through-titanic-856632df", "kernel_id": "88429"}, {"ref": "wutao1530663/a-journey-through-titanic-a0f2028c", "kernel_id": "88280"}, {"ref": "wutao1530663/a-journey-through-titanic-c5a66678", "kernel_id": "88980"}, {"ref": "wutao1530663/study-of-tree-and-forest-algorithms", "kernel_id": "88870"}, {"ref": "dawidmf/a-journey-through-titanic", "kernel_id": "102322"}, {"ref": "shansari25/notebookacbb897707", "kernel_id": "91569"}, {"ref": "shansari25/exploring-survival-on-the-titanic", "kernel_id": "91570"}, {"ref": "junfenggao/a-journey-through-titanic", "kernel_id": "167811"}, {"ref": "qiyuanzh/titanic-first-neural-network-approach", "kernel_id": "113529"}, {"ref": "jeepkd/notebooke101104823", "kernel_id": "203039"}, {"ref": "jeepkd/titanic-survival-analysis-sandbox-with-r", "kernel_id": "203041"}, {"ref": "jeepkd/notebooka1d4224cc3", "kernel_id": "203788"}, {"ref": "toygamer/a-journey-through-titanic", "kernel_id": "87302"}, {"ref": "toygamer/a-journey-through-titanic-2a2affa4", "kernel_id": "87304"}, {"ref": "datagyrl/notebookbaf9414db9", "kernel_id": "87271"}, {"ref": "arun2sasi/a-journey-through-titanic", "kernel_id": "87272"}, {"ref": "expatinuk/test1", "kernel_id": "230362"}, {"ref": "pantsu/a-journey-through-titanic", "kernel_id": "94642"}, {"ref": "bzmccarthy/notebookb069710359", "kernel_id": "90100"}, {"ref": "luspra/notebook5d82668929", "kernel_id": "111856"}, {"ref": "deenaliz/titanic-code", "kernel_id": "268385"}, {"ref": "coderdada97/notebookdfbcda79bc", "kernel_id": "176317"}, {"ref": "zertrin/notebook1d7774d71c", "kernel_id": "87383"}, {"ref": "bastortz/titanic1", "kernel_id": "87339"}, {"ref": "pritamkhaire/notebook546651504e", "kernel_id": "236040"}, {"ref": "pengli1221/a-journey-through-titanic", "kernel_id": "92458"}, {"ref": "pengli1221/titanic", "kernel_id": "92461"}, {"ref": "truenomad/titanic-predictive-analysis-of-survival-rate", "kernel_id": "425172"}, {"ref": "ashishksingh/a-journey-through-titanic-6a54b75c", "kernel_id": "88474"}, {"ref": "ashishksingh/a-journey-through-titanic-c14c0056", "kernel_id": "88092"}, {"ref": "ashishksingh/a-journey-through-titanic-05720c2d", "kernel_id": "88170"}, {"ref": "ashishksingh/a-journey-through-titanic", "kernel_id": "87946"}, {"ref": "sidedish/wwcai-titanic-test", "kernel_id": "94934"}, {"ref": "leonhardt/a-journey-through-titanic", "kernel_id": "87482"}, {"ref": "leonhardt/a-journey-through-titanic-04287bc8", "kernel_id": "87484"}, {"ref": "leonhardt/a-journey-through-titanic-test", "kernel_id": "87485"}, {"ref": "theone10211024/a-journey-through-titanic", "kernel_id": "87869"}, {"ref": "tirthgajjar/my-first-nb", "kernel_id": "319896"}, {"ref": "kawalmaras/exploring-data", "kernel_id": "98981"}, {"ref": "aabdulla1/a-journey-through-titanic", "kernel_id": "87819"}, {"ref": "aabdulla1/notebook6a38938935", "kernel_id": "87789"}, {"ref": "sharathyaji/titan-firstcode", "kernel_id": "87514"}, {"ref": "agolovan/titanic-2", "kernel_id": "90024"}, {"ref": "agolovan/test-3", "kernel_id": "90762"}, {"ref": "agolovan/new-data", "kernel_id": "91283"}, {"ref": "kblee91/a-journey-through-titanic", "kernel_id": "104741"}, {"ref": "kblee91/titanic-random-forest-82-78", "kernel_id": "175693"}, {"ref": "kblee91/a-journey-through-titanic-fc1d7a1b", "kernel_id": "173237"}, {"ref": "haikent/a-journey-through-titanic", "kernel_id": "116310"}, {"ref": "lekkerry/notebook7ea13f6361", "kernel_id": "87564"}, {"ref": "jeankwizera/exploring-survival-on-the-titanic", "kernel_id": "130241"}, {"ref": "hrossman/test1-ba", "kernel_id": "87595"}, {"ref": "lydtjcn/notebookd738b5ad20", "kernel_id": "87624"}, {"ref": "aria313/notebook514dc1a928", "kernel_id": "87638"}, {"ref": "jayfran/a-journey-through-titanic", "kernel_id": "178614"}, {"ref": "jayfran/a-journey-through-titanic-5cd845cb", "kernel_id": "178623"}, {"ref": "yaunxqq/a-journey-through-titanic", "kernel_id": "121906"}, {"ref": "derekgrant/derek", "kernel_id": "166302"}, {"ref": "zaiyong/titannic", "kernel_id": "143498"}, {"ref": "alekseiaseev/basic-model-using-pandas-and-sklearn", "kernel_id": "98805"}, {"ref": "poojagulati/exploring-survival-on-the-titanic", "kernel_id": "93434"}, {"ref": "alsombra/a-journey-through-titanic-d0becd0e", "kernel_id": "91382"}, {"ref": "alsombra/a-journey-through-titanic", "kernel_id": "89320"}, {"ref": "gillejw/notebookd8708e3390", "kernel_id": "88444"}, {"ref": "gillejw/fork-of-notebook6b9bcd6523", "kernel_id": "88445"}, {"ref": "johannha/a-journey-through-titanic", "kernel_id": "94438"}, {"ref": "wildcountry/exploring-survival-on-the-titanic", "kernel_id": "90215"}, {"ref": "rishabh007/notebookd2dda29eef", "kernel_id": "135729"}, {"ref": "knjals/notebook156d1a5c04", "kernel_id": "90483"}, {"ref": "darshanrai/a-journey-through-titanic", "kernel_id": "87737"}, {"ref": "markkb/a-journey-through-titanic", "kernel_id": "87754"}, {"ref": "ratliffj/notebook3a6e88f7b3", "kernel_id": "260151"}, {"ref": "nreith/a-journey-through-titanic-251d3b61", "kernel_id": "88088"}, {"ref": "nreith/a-journey-through-titanic-6fadfeaa", "kernel_id": "88083"}, {"ref": "nreith/titanic-python-practice", "kernel_id": "88073"}, {"ref": "nreith/a-journey-through-titanic", "kernel_id": "88046"}, {"ref": "drghifari/a-journey-through-titanic", "kernel_id": "89677"}, {"ref": "drghifari/titanic", "kernel_id": "87796"}, {"ref": "carlspackler/notebook8892d2edfe", "kernel_id": "95247"}, {"ref": "samching/log-and-linear-regression-for-titanic", "kernel_id": "97183"}, {"ref": "magalibc/a-journey-through-titanic", "kernel_id": "90696"}, {"ref": "ronaldfisher/notebook082b2b8af2", "kernel_id": "87911"}, {"ref": "jiefangeking/a-journey-through-titanic-ae14066b", "kernel_id": "87955"}, {"ref": "jiefangeking/fork-of-a-journey-through-titanic-ae14066b", "kernel_id": "87957"}, {"ref": "benfduffy/pandas-titanic", "kernel_id": "108302"}, {"ref": "maheshd/titanic", "kernel_id": "209867"}, {"ref": "fdubinsk/a-journey-through-titanic", "kernel_id": "88031"}, {"ref": "faameem/fm-titanic-machine-learning-from-sisaster", "kernel_id": "278993"}, {"ref": "sriethig/firstkagglecompetition-titanic", "kernel_id": "89012"}, {"ref": "xyd945/a-journey-through-titanic", "kernel_id": "88062"}, {"ref": "m4witko/notebook36c1946105", "kernel_id": "88499"}, {"ref": "saatchibhalla/a-journey-through-titanic", "kernel_id": "88121"}, {"ref": "victorgarritano/a-journey-through-titanic", "kernel_id": "93467"}, {"ref": "pedramnavid/notebooka6f27a53dc", "kernel_id": "102672"}, {"ref": "andrewsturges/titanic-v1", "kernel_id": "88149"}, {"ref": "binyi10/notebookda36d6f284", "kernel_id": "89812"}, {"ref": "binyi10/notebook1348015f6b", "kernel_id": "90034"}, {"ref": "haphamngoc/titanic", "kernel_id": "112090"}, {"ref": "surajitbhunia/skb-test1", "kernel_id": "89985"}, {"ref": "balakesavan/titanicbalakesavan20160921", "kernel_id": "98689"}, {"ref": "venkybuddy/a-journey-through-titanic", "kernel_id": "93540"}, {"ref": "totorol12/notebook5c06a92398", "kernel_id": "89193"}, {"ref": "bugix96/titanic-solution", "kernel_id": "120078"}, {"ref": "sagars960/jeevan-raksha", "kernel_id": "88248"}, {"ref": "sagars960/a-journey-through-titanic", "kernel_id": "88244"}, {"ref": "vadi23/a-journey-through-titanic", "kernel_id": "117174"}, {"ref": "silviup/a-journey-through-titanic-e417c6da", "kernel_id": "90124"}, {"ref": "silviup/fork-of-a-journey-through-titanic", "kernel_id": "90290"}, {"ref": "silviup/titanic-rf-classification", "kernel_id": "90301"}, {"ref": "breana/titanic-survival-analysis", "kernel_id": "89271"}, {"ref": "vbaswal/titanic-v1-0", "kernel_id": "730592"}, {"ref": "ljc391/a-journey-through-titanic", "kernel_id": "110506"}, {"ref": "jburkemail/runtest1", "kernel_id": "88439"}, {"ref": "ssrivastva/notebook3f4b8231a5", "kernel_id": "186295"}, {"ref": "ssrivastva/a-journey-through-titanic", "kernel_id": "186303"}, {"ref": "philosophy/exploring-survival-on-the-titanic", "kernel_id": "88376"}, {"ref": "srauschmayer/learning-kaggle-script-interface", "kernel_id": "88713"}, {"ref": "hajimenagata/notebook0641ce706e", "kernel_id": "106055"}, {"ref": "aadhi444/quick-analysis-and-model-building", "kernel_id": "994472"}, {"ref": "snigdhendu/study-of-tree-and-forest-algorithms", "kernel_id": "91647"}, {"ref": "snigdhendu/study-of-tree-and-forest-algorithms-66fb88d2", "kernel_id": "91861"}, {"ref": "aspaccela/a-journey-through-titanic", "kernel_id": "92119"}, {"ref": "aspaccela/titanic-first", "kernel_id": "88788"}, {"ref": "akash837/titanic-sinking", "kernel_id": "88487"}, {"ref": "freemans/the-titanic", "kernel_id": "227283"}, {"ref": "freemans/notebook1ca2b2b533", "kernel_id": "227680"}, {"ref": "shashidharme/notebookd0505f7161", "kernel_id": "236923"}, {"ref": "pearlr/titanic-test", "kernel_id": "90858"}, {"ref": "pearlr/titanic-tutorial", "kernel_id": "90819"}, {"ref": "jinrui/a-journey-through-titanic", "kernel_id": "95643"}, {"ref": "jinrui/a-journey-through-titanic-9ebcf70b", "kernel_id": "95661"}, {"ref": "shreeshajay/python-titanic-part-1", "kernel_id": "112287"}, {"ref": "rahulkamma/a-journey-through-titanic", "kernel_id": "88668"}, {"ref": "marc000/copy-of-titanic-0-79-score-for-learning", "kernel_id": "110229"}, {"ref": "humewang/a-journey-through-titanic", "kernel_id": "123260"}, {"ref": "dannyhou/a-journey-through-titanic", "kernel_id": "124141"}, {"ref": "workingdm/testdemo", "kernel_id": "94658"}, {"ref": "trivisonno10/a-journey-through-titanic", "kernel_id": "88731"}, {"ref": "giansegato/testing", "kernel_id": "193422"}, {"ref": "tiagobras/a-journey-through-titanic", "kernel_id": "89112"}, {"ref": "akshatbhardwaj/rand-forest1", "kernel_id": "160717"}, {"ref": "danieljl/notebook953987c2bd", "kernel_id": "88784"}, {"ref": "danieljl/notebook470da27c0f", "kernel_id": "88785"}, {"ref": "nooranie/a-journey-through-titanic", "kernel_id": "90385"}, {"ref": "chazcv/notebook2dad4bd89b", "kernel_id": "90576"}, {"ref": "kurtholst/notebookc398cbff47", "kernel_id": "94786"}, {"ref": "kurtholst/notebook2a7958cdf3", "kernel_id": "94466"}, {"ref": "alioancea/first-test", "kernel_id": "191027"}, {"ref": "pritamjena/c50-tuning", "kernel_id": "297031"}, {"ref": "isaacabhishek/a-journey-through-titanic", "kernel_id": "91101"}, {"ref": "neotoad/learning", "kernel_id": "92414"}, {"ref": "mohitagr18/titanic-survival-prediction", "kernel_id": "103685"}, {"ref": "sjoanes/a-journey-through-titanic", "kernel_id": "89036"}, {"ref": "tanvibhandarkar/getting-started-with-titanic", "kernel_id": "323820"}, {"ref": "moidhasan/a-journey-through-titanic", "kernel_id": "162791"}, {"ref": "analystamit/exploring-survival-on-the-titanic", "kernel_id": "136297"}, {"ref": "nishupbh/titanic-gbc", "kernel_id": "321195"}, {"ref": "kylexy999/a-journey-through-titanic", "kernel_id": "114334"}, {"ref": "kylexy999/practice-cf", "kernel_id": "94274"}, {"ref": "kylexy999/notebook5e29b2cbbe", "kernel_id": "89364"}, {"ref": "jeffkt2/a-journey-through-titanic", "kernel_id": "89365"}, {"ref": "zhanghaifeng/titanic-data-science-solutions", "kernel_id": "155541"}, {"ref": "saurabhsharan/kfjsld", "kernel_id": "89445"}, {"ref": "wilsonpowlous/notebook231fc47d2f", "kernel_id": "89543"}, {"ref": "bruceruibotu/notebookec9cecba38", "kernel_id": "200606"}, {"ref": "zeniens/a-journey-through-titanic-ed820d", "kernel_id": "225919"}, {"ref": "heisengarg/notebook85068228f0", "kernel_id": "89341"}, {"ref": "abhinayyar93/my-first-solution", "kernel_id": "104252"}, {"ref": "lavishm58/starting", "kernel_id": "89345"}, {"ref": "jtmartin/titanic", "kernel_id": "90917"}, {"ref": "henrythomas/titanic-test-1", "kernel_id": "89355"}, {"ref": "rhu1988/titanic", "kernel_id": "266432"}, {"ref": "ddzsotjan/titanic-analysis-omar", "kernel_id": "98859"}, {"ref": "ddzsotjan/sink-or-survive", "kernel_id": "137102"}, {"ref": "rajnikanth/titanic-data", "kernel_id": "89417"}, {"ref": "ahmedelgammal/notebook7ad774a349", "kernel_id": "228413"}, {"ref": "joshdelacerna/notebook21b6260f41", "kernel_id": "89431"}, {"ref": "joshdelacerna/assds", "kernel_id": "89513"}, {"ref": "shub01iu/introduction-to-ensembling-stacking-in-python", "kernel_id": "212033"}, {"ref": "shub01iu/notebookdc43c0d66b", "kernel_id": "210353"}, {"ref": "liupatrick/first-try", "kernel_id": "242614"}, {"ref": "liupatrick/notebook70478a4ee8", "kernel_id": "120432"}, {"ref": "liupatrick/notebook1f43bd0689", "kernel_id": "120521"}, {"ref": "matthewfitch23/notebookd2fcea4db9", "kernel_id": "189717"}, {"ref": "ufocdy/a-journey-through-titanic", "kernel_id": "89511"}, {"ref": "sedacavdaroglu/predicting-survival-in-titanic", "kernel_id": "93140"}, {"ref": "sedacavdaroglu/titanic-python", "kernel_id": "100145"}, {"ref": "sedacavdaroglu/a-journey-through-titanic", "kernel_id": "100148"}, {"ref": "freddieyuyi/notebook4284d3d243", "kernel_id": "89988"}, {"ref": "sharonaire/preliminary-exploration", "kernel_id": "107033"}, {"ref": "sharonaire/notebook7ee1cca84d", "kernel_id": "105274"}, {"ref": "jyothish/notebookf8bdfeecd1", "kernel_id": "226338"}, {"ref": "wangming/a-journey-through-titanic", "kernel_id": "163829"}, {"ref": "yarimarchetti/asdasd", "kernel_id": "89570"}, {"ref": "satjeet/first", "kernel_id": "95764"}, {"ref": "mukeshj/swimming-in-the-titanic-data", "kernel_id": "194482"}, {"ref": "almondhive/a-journey-through-titanic-eb036bc2", "kernel_id": "89938"}, {"ref": "almondhive/a-journey-through-titanic", "kernel_id": "89831"}, {"ref": "saurabhzx/notebookcd0c108d3d", "kernel_id": "237469"}, {"ref": "zmykaggle/a-journey-through-titanic", "kernel_id": "89644"}, {"ref": "zmykaggle/notebook74076e0559", "kernel_id": "102792"}, {"ref": "zmykaggle/titanic", "kernel_id": "102455"}, {"ref": "zmykaggle/exploratory-tutorial-titanic", "kernel_id": "106382"}, {"ref": "zmykaggle/an-interactive-data-science-tutorial", "kernel_id": "262230"}, {"ref": "robmurtagh/a-journey-through-titanic", "kernel_id": "111131"}, {"ref": "wboning/random-forest-benchmark-r", "kernel_id": "89620"}, {"ref": "peatschmo/a-journey-through-titanic", "kernel_id": "89625"}, {"ref": "daneelrolivaw1/test1-1", "kernel_id": "126818"}, {"ref": "jortola/a-journey-through-titanic", "kernel_id": "128732"}, {"ref": "collett19/titanic-r-script-testing-testing-one-two-three", "kernel_id": "226152"}, {"ref": "mapestree/notebook1d1a4d4146", "kernel_id": "90457"}, {"ref": "sfilios/first-script", "kernel_id": "97274"}, {"ref": "sfilios/a-journey-through-titanic", "kernel_id": "97230"}, {"ref": "osbornej/test1122", "kernel_id": "99983"}, {"ref": "osbornej/adsfadsf", "kernel_id": "96962"}, {"ref": "osbornej/goodtest123", "kernel_id": "94312"}, {"ref": "osbornej/mytest123", "kernel_id": "94736"}, {"ref": "osbornej/myprog123", "kernel_id": "94738"}, {"ref": "osbornej/mytest12", "kernel_id": "94789"}, {"ref": "osbornej/testingnew123", "kernel_id": "95048"}, {"ref": "osbornej/trainingdata1", "kernel_id": "95053"}, {"ref": "zhaogj/mytitanic", "kernel_id": "124139"}, {"ref": "zhaogj/titanic22", "kernel_id": "124171"}, {"ref": "zhaogj/haha1", "kernel_id": "124172"}, {"ref": "zhaogj/notebook68c93cf4ad", "kernel_id": "124167"}, {"ref": "zhaogj/titanic2", "kernel_id": "124169"}, {"ref": "zhaogj/titanic-explore", "kernel_id": "822643"}, {"ref": "fatwhale/a-journey-through-titanic", "kernel_id": "123819"}, {"ref": "masumrumi/a-statistical-analysis-ml-workflow-of-titanic", "kernel_id": "467142"}, {"ref": "huangpan/a-journey-through-titanic", "kernel_id": "96719"}, {"ref": "ccq0221/njuccq20170317", "kernel_id": "212870"}, {"ref": "naeembudhwani/myscript", "kernel_id": "102816"}, {"ref": "caesium/random-forest-benchmark-r", "kernel_id": "89767"}, {"ref": "codeninja007/notebook9b74b553b7", "kernel_id": "89772"}, {"ref": "categitau/a-journey-through-titanic", "kernel_id": "158188"}, {"ref": "mustafaabbs2/titanic", "kernel_id": "89983"}, {"ref": "mustafaabbs2/titanic-must", "kernel_id": "89976"}, {"ref": "inselaffe/a-journey-through-titanic", "kernel_id": "89792"}, {"ref": "buo1064/first", "kernel_id": "94724"}, {"ref": "buo1064/notebook11ad951857", "kernel_id": "94725"}, {"ref": "buo1064/notebook26eb622bd4", "kernel_id": "96913"}, {"ref": "sroose/titanic-test2", "kernel_id": "89837"}, {"ref": "sroose/titanic-testset", "kernel_id": "89841"}, {"ref": "mabnote/a-journey-through-titanic", "kernel_id": "89816"}, {"ref": "mabnote/a-journey-through-titanic-476c2d4f", "kernel_id": "93957"}, {"ref": "tangbinh/a-journey-through-titanic", "kernel_id": "89857"}, {"ref": "rayuga/exploring-survival-on-the-titanic", "kernel_id": "89844"}, {"ref": "rodericksd/dr-titanic-on-kaggle-8-28", "kernel_id": "92236"}, {"ref": "rodericksd/dr-titanic-on-kaggle", "kernel_id": "91838"}, {"ref": "rodericksd/notebook9faedb44b6", "kernel_id": "91770"}, {"ref": "rodericksd/notebook84431d32a4", "kernel_id": "91832"}, {"ref": "rodericksd/notebook264091ca4e", "kernel_id": "93172"}, {"ref": "rodericksd/dr-titanic-on-kaggle-9-1-2016", "kernel_id": "93440"}, {"ref": "rodericksd/dr-titanic-on-kaggle-9-2-2016", "kernel_id": "93646"}, {"ref": "rodericksd/dr-titanic-on-kaggle-9-5-2016", "kernel_id": "94510"}, {"ref": "rodericksd/dr-titanic-on-kaggle-9-15-2016", "kernel_id": "96897"}, {"ref": "rodericksd/dr-titanic-on-kaggle-9-13-2016", "kernel_id": "96613"}, {"ref": "rodericksd/dr-titanic-on-kaggle-9-12-2016", "kernel_id": "96306"}, {"ref": "rodericksd/dr-titanic-on-kaggle-9-15-2016-part-2", "kernel_id": "97276"}, {"ref": "wertzaj/titanic", "kernel_id": "93276"}, {"ref": "battuzz94/a-guide-to-titanic-challenge", "kernel_id": "226451"}, {"ref": "battuzz94/scikit-learn-ml-from-start-to-finish", "kernel_id": "219961"}, {"ref": "xdamanx/a-journey-through-titanic", "kernel_id": "89893"}, {"ref": "hkarimi/titanictutorial", "kernel_id": "90128"}, {"ref": "hkarimi/notebookbc7c9eb0d2", "kernel_id": "90207"}, {"ref": "hkarimi/notebook0ec479ab51", "kernel_id": "90626"}, {"ref": "abhimanu29/titanic", "kernel_id": "114105"}, {"ref": "abhimanu29/a-journey-through-titanic", "kernel_id": "105595"}, {"ref": "rbbarclay/notebookc711f6c71f", "kernel_id": "90865"}, {"ref": "oftomorrow/titanic-disaster-analysis", "kernel_id": "120597"}, {"ref": "msnagata/notebookd2022bb490", "kernel_id": "96555"}, {"ref": "gbhojraj/first-test", "kernel_id": "112346"}, {"ref": "gpellis/getting-started-with-python-notebook-edition", "kernel_id": "90113"}, {"ref": "gpellis/exploring-survival-on-the-titanic-with-r-notebook", "kernel_id": "89993"}, {"ref": "robinonsay/notebook9c25e29e42", "kernel_id": "103055"}, {"ref": "bijawatsparsh/a-journey-through-titanic", "kernel_id": "165905"}, {"ref": "himakund/predictions-using-logistic-regression", "kernel_id": "217524"}, {"ref": "adolstar/wtfff", "kernel_id": "106534"}, {"ref": "adolstar/wtffff", "kernel_id": "106540"}, {"ref": "adolstar/first-try-by-jiahao", "kernel_id": "106543"}, {"ref": "lohanii/titanic-survival-prediction-r-markdown-code", "kernel_id": "214911"}, {"ref": "hbk008/notebook6b216dda50", "kernel_id": "104361"}, {"ref": "hbk008/a-journey-through-titanic", "kernel_id": "104715"}, {"ref": "shivamkotwalia/a-journey-through-titanic", "kernel_id": "90050"}, {"ref": "aaksh26/notebook31324e9f42", "kernel_id": "108841"}, {"ref": "quixotte/notebook6db885b63f", "kernel_id": "232326"}, {"ref": "phoanghuong86/roy-s-titanic-notebook", "kernel_id": "146622"}, {"ref": "phoanghuong86/notebookfa4bbf4a31", "kernel_id": "147307"}, {"ref": "phoanghuong86/exploring-survival-on-the-titanic", "kernel_id": "212997"}, {"ref": "phoanghuong86/fork-of-roy-s-titanic-notebook", "kernel_id": "206272"}, {"ref": "phoanghuong86/titanic-beginners-female-will-be-survived", "kernel_id": "205011"}, {"ref": "rturyatemba/notebookb09183580b", "kernel_id": "102297"}, {"ref": "nexgencode3/introduction-to-ensembling-stacking-in-python", "kernel_id": "197545"}, {"ref": "jigardafda/notebook061f42f47c", "kernel_id": "90105"}, {"ref": "jigardafda/a-journey-through-titanic", "kernel_id": "90193"}, {"ref": "himanshu09/titanic-best-working-classifier-3121b202", "kernel_id": "145269"}, {"ref": "himanshu09/titanic-best-working-classifier-bbb7f32a", "kernel_id": "145261"}, {"ref": "himanshu09/titanic-best-working-classifier", "kernel_id": "145029"}, {"ref": "superegg/a-journey-through-titanic", "kernel_id": "196967"}, {"ref": "diegosiebra/rf-titanic-prediction-th3one", "kernel_id": "103015"}, {"ref": "nlprunner/titanic-practice-with-scikit-learn", "kernel_id": "154389"}, {"ref": "nestorkrm/a-journey-through-titanic", "kernel_id": "160544"}, {"ref": "aheyman11/notebooke4fdec8dda", "kernel_id": "90202"}, {"ref": "aheyman11/notebook187662fdeb", "kernel_id": "91125"}, {"ref": "xiaoshuang30428/1st-script", "kernel_id": "90502"}, {"ref": "minjkang89/could-the-titanic-have-been-saved", "kernel_id": "116682"}, {"ref": "harshit15/notebook41e8d60df2", "kernel_id": "90315"}, {"ref": "reshav/notebook050ec2ebba", "kernel_id": "105870"}, {"ref": "reshav/notebook21b939f22f", "kernel_id": "105879"}, {"ref": "pprat2000/a-journey-through-titanic", "kernel_id": "95405"}, {"ref": "mrahman4/notebook1c55c60fdb", "kernel_id": "90489"}, {"ref": "xiaoyuan6861/a-journey-through-titanic", "kernel_id": "90686"}, {"ref": "xiaoyuan6861/notebookc82e5b7714", "kernel_id": "92335"}, {"ref": "justin1904/a-journey-through-titanic", "kernel_id": "92384"}, {"ref": "tejusg/a-journey-through-titanic", "kernel_id": "101943"}, {"ref": "tejusg/a-journey-through-titanic-ee72f82f", "kernel_id": "102039"}, {"ref": "krish1996sk/notebook6c8e4c87b2", "kernel_id": "90343"}, {"ref": "scoffm/notebooke5d7396f6e", "kernel_id": "90365"}, {"ref": "munyari/first-submission-titanic-dataset", "kernel_id": "112130"}, {"ref": "munyari/a-journey-through-titanic", "kernel_id": "112143"}, {"ref": "bkirubak/notebookaa5a3ae54f", "kernel_id": "180850"}, {"ref": "devanshugupta27/predicting-the-titanic-survival-rate", "kernel_id": "378645"}, {"ref": "andersy005/introduction-to-ensembling-stacking-in-python", "kernel_id": "573318"}, {"ref": "jackeown/testing-for-titanic", "kernel_id": "90387"}, {"ref": "emmaschwarz/notebook836f82ebc4", "kernel_id": "90391"}, {"ref": "lunaisblack/notebook3dea823e0b", "kernel_id": "91631"}, {"ref": "willbrackenbury1/a-journey-through-titanic", "kernel_id": "111115"}, {"ref": "codecipher0/a-journey-through-titanic", "kernel_id": "95487"}, {"ref": "anakornk/notebook10cba9497d", "kernel_id": "92387"}, {"ref": "sahildur/titanic", "kernel_id": "95743"}, {"ref": "yohairosen/my-first-test", "kernel_id": "90490"}, {"ref": "lagotus/notebookdd178e6176", "kernel_id": "112522"}, {"ref": "luming/a-journey-through-titanic", "kernel_id": "90509"}, {"ref": "armiamali/notebookb3139d1053", "kernel_id": "90521"}, {"ref": "abdulbudiaji/notebook9b3cbdf903", "kernel_id": "246063"}, {"ref": "rudolph0724/notebook3c86b7fb52", "kernel_id": "139630"}, {"ref": "rudolph0724/notebookc2d66b2215", "kernel_id": "139632"}, {"ref": "rudolph0724/notebook6cdfc55646", "kernel_id": "139644"}, {"ref": "ludejun/exploring-survival-on-the-titanic", "kernel_id": "95511"}, {"ref": "ludejun/notebook83371c5509", "kernel_id": "95659"}, {"ref": "funboarder13920/notebook1a5842030e", "kernel_id": "211144"}, {"ref": "funboarder13920/titanic", "kernel_id": "90545"}, {"ref": "saiteja3010/notebooka954185e46", "kernel_id": "114433"}, {"ref": "saiteja3010/notebook3517132b0f", "kernel_id": "114523"}, {"ref": "nurbu5/a-journey-through-titanic", "kernel_id": "202719"}, {"ref": "nurbu5/a-journey-through-titanic-6376b2", "kernel_id": "202721"}, {"ref": "skrakesh5/test-titanic", "kernel_id": "200954"}, {"ref": "gopenshaw/a-journey-through-titanic", "kernel_id": "90563"}, {"ref": "darcnyte/titanic-dataset", "kernel_id": "144724"}, {"ref": "alaakhaled/titanic-dataset-second-attempt", "kernel_id": "101219"}, {"ref": "alaakhaled/a-journey-through-titanic", "kernel_id": "100496"}, {"ref": "stylusfrost/notebookad9bbef977", "kernel_id": "97740"}, {"ref": "stylusfrost/notebookdf71c029c5", "kernel_id": "97263"}, {"ref": "stylusfrost/aprendiendo-de-titanic", "kernel_id": "96090"}, {"ref": "taraskuzyo/titanic", "kernel_id": "90599"}, {"ref": "vincentdu101/titanic", "kernel_id": "90675"}, {"ref": "kevinsong/a-journey-through-titanic", "kernel_id": "105969"}, {"ref": "zckly133/exploring-survival-on-the-titanic", "kernel_id": "97785"}, {"ref": "zckly133/notebooka61a7004c0", "kernel_id": "97786"}, {"ref": "zckly133/titanic-predictions", "kernel_id": "238319"}, {"ref": "zckly133/titanic", "kernel_id": "238322"}, {"ref": "zckly133/basic-exploration", "kernel_id": "337908"}, {"ref": "xxsneezixx/notebook35cacaafdc", "kernel_id": "90647"}, {"ref": "gamaleldin/notebookade3fdaa5e", "kernel_id": "90659"}, {"ref": "leilanorouzi/exploring-survival-on-the-titanic", "kernel_id": "91162"}, {"ref": "leilanorouzi/notebook804c0af30a", "kernel_id": "92069"}, {"ref": "hamakihito/a-journey-through-titanic", "kernel_id": "91504"}, {"ref": "whonghui/notebook4eb99d6518", "kernel_id": "91248"}, {"ref": "whonghui/a-journey-through-titanic", "kernel_id": "93835"}, {"ref": "qcjiang/a-journey-through-titanic", "kernel_id": "90739"}, {"ref": "aditvenk/titanic", "kernel_id": "90667"}, {"ref": "aditvenk/notebookb7d2c87ad3", "kernel_id": "95402"}, {"ref": "hushenglang/fork-of-titanic-survival-prediction-end-to-end-ml", "kernel_id": "284669"}, {"ref": "hushenglang/notebook0610877562", "kernel_id": "284670"}, {"ref": "hitprox/kaggle-titanic-001", "kernel_id": "92329"}, {"ref": "jakelee/a-journey-through-titanic", "kernel_id": "90971"}, {"ref": "jakelee/notebookf9a8f46e90", "kernel_id": "95907"}, {"ref": "jakelee/notebookb5fb88645c", "kernel_id": "112037"}, {"ref": "matias3/titanic-mechanic-machine-learning", "kernel_id": "161671"}, {"ref": "matias3/a-journey-through-titanic", "kernel_id": "161974"}, {"ref": "matias3/a-journey-through-titanic-66d04a91", "kernel_id": "161989"}, {"ref": "pandeydivesh16/a-journey-through-titanic", "kernel_id": "107335"}, {"ref": "jamiechung/exploratory-tutorial-titanic", "kernel_id": "116361"}, {"ref": "antoineboyer/a-journey-through-titanic", "kernel_id": "93077"}, {"ref": "shahzad2016/a-journey-through-titanic", "kernel_id": "96154"}, {"ref": "karanpreet/a-journey-through-titanic", "kernel_id": "99082"}, {"ref": "karanpreet/a-journey-through-titanic-24bda8c7", "kernel_id": "101243"}, {"ref": "mahewitt/notebook88c342506a", "kernel_id": "95134"}, {"ref": "mahewitt/titanic-entry", "kernel_id": "91239"}, {"ref": "mahewitt/a-journey-through-titanic", "kernel_id": "90963"}, {"ref": "mahewitt/titanic-test", "kernel_id": "91028"}, {"ref": "mahewitt/notebook4ff2a657d0", "kernel_id": "91032"}, {"ref": "raspoutyne/a-journey-through-titanic", "kernel_id": "90766"}, {"ref": "raspoutyne/notebook339111fcc9", "kernel_id": "90816"}, {"ref": "ja33man/titanic-data-science-solutions", "kernel_id": "246565"}, {"ref": "rahulr7/notebooka64ab58517", "kernel_id": "90970"}, {"ref": "addiction/a-journey-through-titanic", "kernel_id": "91034"}, {"ref": "addiction/first-script", "kernel_id": "91039"}, {"ref": "davidkuhta/notebook511c01afe1", "kernel_id": "96448"}, {"ref": "natdesert/test-1-0-viewing-the-training-set", "kernel_id": "90814"}, {"ref": "tomaszmikus/a-journey-through-titanic", "kernel_id": "90828"}, {"ref": "gmatta/exploring-survival-on-the-titanic", "kernel_id": "94262"}, {"ref": "gmatta/notebook44d617e784", "kernel_id": "99270"}, {"ref": "jmartinezuy/a-journey-through-titanic", "kernel_id": "90863"}, {"ref": "flyingollie/flyingollie-meets-kaggle-s-titanic", "kernel_id": "91890"}, {"ref": "vodaza36/titanic-competition-my-first-steps", "kernel_id": "94344"}, {"ref": "alexguo/notebook8a41a3b2e8", "kernel_id": "102966"}, {"ref": "yuzhourady/notebookf566076b13", "kernel_id": "91114"}, {"ref": "yuzhourady/a-journey-through-titanic", "kernel_id": "92205"}, {"ref": "kswamy15/test-kaggle-competition", "kernel_id": "199885"}, {"ref": "kswamy15/notebooke476d0495b", "kernel_id": "199881"}, {"ref": "kswamy15/testing-kaggle-competition", "kernel_id": "199871"}, {"ref": "albertholmes/svm-xgboost-random-forest-journey-for-titanic", "kernel_id": "489424"}, {"ref": "albertholmes/nn-journey-for-titanic", "kernel_id": "489273"}, {"ref": "aselvarathin/a-journey-through-titanic", "kernel_id": "91482"}, {"ref": "ravichinoy/notebook1a07042b67", "kernel_id": "106638"}, {"ref": "pavanj/notebookb85440a1b8", "kernel_id": "174796"}, {"ref": "suavemint/titanic-starting-space", "kernel_id": "127059"}, {"ref": "henry1116/a-journey-through-titanic", "kernel_id": "90951"}, {"ref": "henry1116/a-journey-through-titanic-ea20bacc", "kernel_id": "106181"}, {"ref": "umranabdulla/titanic", "kernel_id": "90962"}, {"ref": "akshaythepoet/a-journey-through-titanic", "kernel_id": "179795"}, {"ref": "vamshivjkrsna/a-journey-through-titanic", "kernel_id": "90990"}, {"ref": "meghananaik/fork-of-fork-of-titanic-1", "kernel_id": "222372"}, {"ref": "simonwong/notebooke2c1233af5", "kernel_id": "90999"}, {"ref": "sfymachinlearning/a-journey-through-titanic", "kernel_id": "114749"}, {"ref": "alphyelsa/a-journey-through-titanic", "kernel_id": "91001"}, {"ref": "alphyelsa/notebook9d58e754e3", "kernel_id": "103560"}, {"ref": "mvellegeorge/notebookc8ea80d184", "kernel_id": "123934"}, {"ref": "mvellegeorge/a-journey-through-titanic", "kernel_id": "123922"}, {"ref": "isaiasanchez/a-journey-through-titanic", "kernel_id": "91042"}, {"ref": "sairus/a-journey-through-titanic", "kernel_id": "100477"}, {"ref": "eanean81/notebook8b702f112c", "kernel_id": "94793"}, {"ref": "eanean81/notebookddb06f885c", "kernel_id": "95005"}, {"ref": "malikos/notebook3f7c64250a", "kernel_id": "104016"}, {"ref": "malikos/exploratory-tutorial-titanic", "kernel_id": "107705"}, {"ref": "lndmitry/a-journey-through-titanic", "kernel_id": "92725"}, {"ref": "qbetterk/a-journey-through-titanic", "kernel_id": "91688"}, {"ref": "abbassi/notebook1f5fbd48c9", "kernel_id": "94987"}, {"ref": "tgatti/titanic-survival-exploration", "kernel_id": "91104"}, {"ref": "demonicastronaut/qc-ml-club-week-1", "kernel_id": "369193"}, {"ref": "gary92/a-journey-through-titanic", "kernel_id": "119884"}, {"ref": "samyff/first-algo", "kernel_id": "91115"}, {"ref": "sanchitg/notebookc92b423995", "kernel_id": "100142"}, {"ref": "sanchitg/notebook02cf866127", "kernel_id": "204264"}, {"ref": "thestrider3/notebook88753696c9", "kernel_id": "229626"}, {"ref": "thestrider3/notebook4d4b60e876", "kernel_id": "229624"}, {"ref": "ramijack/titanicsurvival", "kernel_id": "212900"}, {"ref": "ramijack/notebooka454ff1d7b", "kernel_id": "212895"}, {"ref": "currie32/notebook76a102506f", "kernel_id": "91124"}, {"ref": "kevinchang/titanic-notebook", "kernel_id": "91134"}, {"ref": "pharic/titanic-ml", "kernel_id": "283346"}, {"ref": "kbechtel/a-journey-through-titanic", "kernel_id": "91170"}, {"ref": "marinafouto/could-the-titanic-have-been-saved", "kernel_id": "112687"}, {"ref": "clocasto/notebook949f045350", "kernel_id": "91199"}, {"ref": "liav3000/notebook3489c1f440", "kernel_id": "95065"}, {"ref": "macumtb/a-journey-through-titanic", "kernel_id": "111714"}, {"ref": "anataliocs/a-journey-through-titanic", "kernel_id": "92071"}, {"ref": "austinpower/a-journey-through-titanic", "kernel_id": "91451"}, {"ref": "vipinagrahari/titanic-prediction", "kernel_id": "93775"}, {"ref": "jayonline/notebook5fe47b909f", "kernel_id": "94365"}, {"ref": "jayonline/notebook17740c988b", "kernel_id": "94640"}, {"ref": "sylvao08/test-script", "kernel_id": "100682"}, {"ref": "yixiaoyang2016/titanic-data-science-solutions-fork", "kernel_id": "215323"}, {"ref": "akshay7194/a-journey-through-titanic", "kernel_id": "96574"}, {"ref": "praveenkvaduvur/a-journey-through-titanic", "kernel_id": "91751"}, {"ref": "natejhall89/a-journey-through-titanic", "kernel_id": "101959"}, {"ref": "sebasggx/a-journey-through-titanic-6830fd14", "kernel_id": "180500"}, {"ref": "sebasggx/a-journey-through-titanic", "kernel_id": "176869"}, {"ref": "gargmanish/kaggle-titanic-001", "kernel_id": "97386"}, {"ref": "gargmanish/titanic-passenger-survival", "kernel_id": "97379"}, {"ref": "gargmanish/notebook4cff0718dd", "kernel_id": "103111"}, {"ref": "deepnet/titanic-draft", "kernel_id": "91577"}, {"ref": "deepnet/notebook0ed8a91018", "kernel_id": "92154"}, {"ref": "sandykok/notebookcefae01207", "kernel_id": "256781"}, {"ref": "rahulpatra/notebook928bebb792", "kernel_id": "240830"}, {"ref": "elmike/notebookf2123e62bb", "kernel_id": "91339"}, {"ref": "druswick/titanic-prediction", "kernel_id": "94208"}, {"ref": "druswick/titanic", "kernel_id": "94179"}, {"ref": "jabraham55/study-of-survival-on-the-titanic", "kernel_id": "163495"}, {"ref": "harinsingh/swimming-in-the-titanic-data-1eb2d8", "kernel_id": "194447"}, {"ref": "harinsingh/swimming-in-the-titanic-data-python-way", "kernel_id": "194437"}, {"ref": "loicge/titanic", "kernel_id": "198432"}, {"ref": "loicge/titanic-python", "kernel_id": "203213"}, {"ref": "loicge/new-start", "kernel_id": "209928"}, {"ref": "loicge/genetic-programming-lb-0-88", "kernel_id": "211334"}, {"ref": "loicge/myscript", "kernel_id": "98508"}, {"ref": "kylorensdad/notebook7004c25b6c", "kernel_id": "123736"}, {"ref": "cristo/notebookde0fc33099", "kernel_id": "104842"}, {"ref": "onestone/titanic-v1-7", "kernel_id": "91638"}, {"ref": "lekkiduchem/my-take-on-titanic", "kernel_id": "319344"}, {"ref": "idespindola/01-titanic", "kernel_id": "126665"}, {"ref": "idespindola/titanic-python-kaggler", "kernel_id": "171214"}, {"ref": "destina/a-journey-through-titanic", "kernel_id": "91447"}, {"ref": "map171/notebooke2811750d9", "kernel_id": "91452"}, {"ref": "dwillis/notebook839d11d2a2", "kernel_id": "91456"}, {"ref": "rodojusakman/a-journey-through-titanic", "kernel_id": "91472"}, {"ref": "rodojusakman/survival-prediction-with-neural-net", "kernel_id": "180734"}, {"ref": "rodojusakman/survival-prediction-with-neural-net-8569deff", "kernel_id": "180735"}, {"ref": "pratikashokdhumal/notebook46f6a999a6", "kernel_id": "91475"}, {"ref": "neeraj1/a-journey-through-titanic-264c7318", "kernel_id": "95698"}, {"ref": "neeraj1/a-journey-through-titanic-eaef4bfe", "kernel_id": "95926"}, {"ref": "neeraj1/a-journey-through-titanic", "kernel_id": "93080"}, {"ref": "neeraj1/a-journey-through-titanic-88cb0343", "kernel_id": "106870"}, {"ref": "sindhujaa/titanic-sindhuja", "kernel_id": "191481"}, {"ref": "sindhujaa/notebookd8a2f94e33", "kernel_id": "188450"}, {"ref": "sindhujaa/andhra-titanic", "kernel_id": "188453"}, {"ref": "kronprinserik/exploring-survival-on-the-titanic", "kernel_id": "91576"}, {"ref": "kronprinserik/notebooka616f5a937", "kernel_id": "91572"}, {"ref": "chargeorg/a-journey-through-titanic", "kernel_id": "111387"}, {"ref": "unicorncharm/a-journey-through-titanic", "kernel_id": "158143"}, {"ref": "scotthuang1989/a-journey-through-titanic-041fc849", "kernel_id": "120966"}, {"ref": "scotthuang1989/a-journey-through-titanic", "kernel_id": "105751"}, {"ref": "parambole/a-journey-through-titanic", "kernel_id": "111320"}, {"ref": "nicksonsone/notebookb061e0bf03", "kernel_id": "101113"}, {"ref": "iamabug/notebook70b4d327b8", "kernel_id": "156068"}, {"ref": "rikker/rikker-titanic-survival-test", "kernel_id": "276058"}, {"ref": "wizrato/a-journey-through-titanic", "kernel_id": "97479"}, {"ref": "sidproquo/notebook628283b230", "kernel_id": "91662"}, {"ref": "ashisha/a-journey-through-titanic", "kernel_id": "91824"}, {"ref": "mlaster/a-journey-through-titanic", "kernel_id": "179045"}, {"ref": "pontriagin/notebookbbad5c5894", "kernel_id": "240826"}, {"ref": "rmarzovilla/notebookc185cdd1b7", "kernel_id": "227463"}, {"ref": "rmarzovilla/titanic-best-working-classifier", "kernel_id": "227427"}, {"ref": "penmily/20161123", "kernel_id": "121440"}, {"ref": "penmily/titanic02", "kernel_id": "95147"}, {"ref": "penmily/a-journey-through-titanic", "kernel_id": "94902"}, {"ref": "penmily/a-journey-through-titanic-75d3eaa6", "kernel_id": "95452"}, {"ref": "penmily/titanic-dt", "kernel_id": "97385"}, {"ref": "franklinz/notebookee52062f24", "kernel_id": "91691"}, {"ref": "binilg/randomforst", "kernel_id": "94841"}, {"ref": "binilg/a-journey-through-titanic", "kernel_id": "95093"}, {"ref": "binilg/binilg", "kernel_id": "94730"}, {"ref": "binilg/notebook127f7909b4", "kernel_id": "94777"}, {"ref": "binilg/titanic-genderprediction", "kernel_id": "95622"}, {"ref": "binilg/titanicsimplestsolution1", "kernel_id": "96016"}, {"ref": "andresistor/notebook2de9ad073a", "kernel_id": "91705"}, {"ref": "dustintt123/titanicnotebook", "kernel_id": "402477"}, {"ref": "rahman96/exploring-survival-on-the-titanic", "kernel_id": "91758"}, {"ref": "forceraven/sdgsdg", "kernel_id": "112499"}, {"ref": "forceraven/decision-tree-visualization-submission", "kernel_id": "115192"}, {"ref": "matrachma/notebooka790446527", "kernel_id": "102877"}, {"ref": "fengchengjue/notebook2761341745", "kernel_id": "169794"}, {"ref": "avannaldas/titanic", "kernel_id": "127828"}, {"ref": "pmehyu/notebook012dc9eae6", "kernel_id": "96726"}, {"ref": "alexsvozil/notebook462606ef39", "kernel_id": "105635"}, {"ref": "alexsvozil/notebook2438e7c0ae", "kernel_id": "105651"}, {"ref": "alexsvozil/titanictest", "kernel_id": "105633"}, {"ref": "alexsvozil/first-try", "kernel_id": "91867"}, {"ref": "orpheuscrypt/notebook76c4512520", "kernel_id": "130958"}, {"ref": "aramirezt/a-journey-through-titanic", "kernel_id": "91869"}, {"ref": "jerzyney/titanic-score-about-80", "kernel_id": "98317"}, {"ref": "selagranto/3-mar-titanic-2-evening", "kernel_id": "201528"}, {"ref": "selagranto/3-mar-titanic-2", "kernel_id": "201526"}, {"ref": "selagranto/notebook6fddad8765", "kernel_id": "201312"}, {"ref": "selagranto/titanic-second", "kernel_id": "210877"}, {"ref": "hardawaykr/titanic", "kernel_id": "91907"}, {"ref": "hardawaykr/notebookff95057139", "kernel_id": "94865"}, {"ref": "idv2005/a-journey-through-titanic", "kernel_id": "91916"}, {"ref": "dt1219/a-journey-through-titanic-fork", "kernel_id": "102875"}, {"ref": "qiuyu719/a-journey-through-titanic", "kernel_id": "92088"}, {"ref": "qiuyu719/titanic-random-forest-82-78", "kernel_id": "191838"}, {"ref": "jeremymaurer/a-journey-through-titanic", "kernel_id": "100843"}, {"ref": "namluu/titanic", "kernel_id": "218681"}, {"ref": "bitbucketeer/notebook320c8c0944", "kernel_id": "91936"}, {"ref": "smallfang/notebook925880da63", "kernel_id": "92004"}, {"ref": "smallfang/using-two-layer-neural-network-for-titanic-problem", "kernel_id": "222357"}, {"ref": "smallfang/fork-of-using-two-layer-neural-network-for-titanic", "kernel_id": "224481"}, {"ref": "xfzhang1030/a-journey-through-titanic", "kernel_id": "92150"}, {"ref": "xfzhang1030/a-journey-through-titanic-d0f11dd3", "kernel_id": "142894"}, {"ref": "nhw1068/notebook69f77f5f39", "kernel_id": "223293"}, {"ref": "nhw1068/notebooke6fa853cee", "kernel_id": "201651"}, {"ref": "deepak95/titanic", "kernel_id": "129604"}, {"ref": "bhatdivakar/titanic-machine-learning-from-disaster-seminar", "kernel_id": "166743"}, {"ref": "jiangmulong/what-is-this", "kernel_id": "92376"}, {"ref": "jiangmulong/jml-spython", "kernel_id": "92373"}, {"ref": "jiangmulong/scrip2", "kernel_id": "92374"}, {"ref": "jiangmulong/notebook478923f569", "kernel_id": "93366"}, {"ref": "jiangmulong/titanic", "kernel_id": "93368"}, {"ref": "luboyang/can-you-survive", "kernel_id": "92375"}, {"ref": "luboyang/notebookaebc6f2fe4", "kernel_id": "92377"}, {"ref": "luboyang/titanic-jounery-begins-with-python", "kernel_id": "93722"}, {"ref": "taibai/titanic-machine-learning-from-disaster", "kernel_id": "204306"}, {"ref": "pgaggar/rms-titanic", "kernel_id": "92406"}, {"ref": "andreabduque/notebook40381b5c06", "kernel_id": "161745"}, {"ref": "raviix/test12345", "kernel_id": "92039"}, {"ref": "adesh09/a-journey-through-titanic", "kernel_id": "182255"}, {"ref": "gudhipraveen/titanic-logistic-regression", "kernel_id": "92105"}, {"ref": "pollux751/titanic-dataset-ml-to-predict-survivors", "kernel_id": "446243"}, {"ref": "hernando/edo-s-journey-through-titanic", "kernel_id": "217429"}, {"ref": "hernando/notebook5e30686470", "kernel_id": "216337"}, {"ref": "aabidkhursheed/titanic-day1", "kernel_id": "107683"}, {"ref": "neerajnk/notebookb23c8a816a", "kernel_id": "92135"}, {"ref": "aditya1702/notebook287e3c2c43", "kernel_id": "98279"}, {"ref": "aditya1702/sssssss", "kernel_id": "132926"}, {"ref": "schatt/titanictest", "kernel_id": "93867"}, {"ref": "pankian/notebook591eb207c8", "kernel_id": "151719"}, {"ref": "nikhilraj/a-journey-through-titanic", "kernel_id": "92144"}, {"ref": "datamine06/notebookefbb9666ed", "kernel_id": "93326"}, {"ref": "tommytdh/a-journey-through-titanic", "kernel_id": "113270"}, {"ref": "saurabhrathor/eda-to-prediction-dietanic", "kernel_id": "589584"}, {"ref": "innotamir/notebook893d253644", "kernel_id": "92188"}, {"ref": "adamdaube/a-journey-through-titanic", "kernel_id": "94623"}, {"ref": "holl42/notebooka7b30e2cc8", "kernel_id": "93007"}, {"ref": "holl42/first-try", "kernel_id": "93008"}, {"ref": "zak1729/test-titanic", "kernel_id": "92486"}, {"ref": "zak1729/notebook7ec9f2ac71", "kernel_id": "92478"}, {"ref": "ooladipo1/titanic-learn-to-kaggle", "kernel_id": "109594"}, {"ref": "martynovr/a-journey-through-titanic", "kernel_id": "92270"}, {"ref": "jdgrabis/a-journey-through-titanic", "kernel_id": "92383"}, {"ref": "abhilashreddyy/an-interactive-data-science-tutorial", "kernel_id": "220370"}, {"ref": "ashutosh1996/notebookb0115c8aa5", "kernel_id": "204085"}, {"ref": "ashutosh1996/notebookc7aca91288", "kernel_id": "203592"}, {"ref": "ashutosh1996/notebookf99c0dbf19", "kernel_id": "205261"}, {"ref": "ashutosh1996/notebook8efa6b2148", "kernel_id": "205081"}, {"ref": "ashutosh1996/notebook44fe414c98", "kernel_id": "205074"}, {"ref": "ashutosh1996/notebook90db14c2c0", "kernel_id": "205177"}, {"ref": "ashutosh1996/notebook20bc6894ab", "kernel_id": "205179"}, {"ref": "ashutosh1996/titanic-problem", "kernel_id": "204586"}, {"ref": "ashutosh1996/with-normalization", "kernel_id": "206056"}, {"ref": "samkitjain/titanic-an-attempt-to-save", "kernel_id": "93532"}, {"ref": "mrmcnerd/titanic-python", "kernel_id": "93734"}, {"ref": "aravind5/notebookfb26b981ec", "kernel_id": "92303"}, {"ref": "aravind5/titanic", "kernel_id": "92305"}, {"ref": "aravind5/kaggle-titanic", "kernel_id": "92411"}, {"ref": "komodoroot/a-journey-through-titanic-bac5718b", "kernel_id": "136764"}, {"ref": "komodoroot/a-journey-through-titanic", "kernel_id": "135234"}, {"ref": "pouya16/a-journey-through-titanic", "kernel_id": "92297"}, {"ref": "moopoon/testtitanic", "kernel_id": "92313"}, {"ref": "theminer/notebookfb3ccc7ad9", "kernel_id": "238085"}, {"ref": "dhfromkorea/a-journey-through-titanic", "kernel_id": "138377"}, {"ref": "rupanjana/firsttry", "kernel_id": "109984"}, {"ref": "bharath4246/notebook5cc7e8250e", "kernel_id": "93760"}, {"ref": "bharath4246/notebooka044ff5100", "kernel_id": "93617"}, {"ref": "bharath4246/titanic", "kernel_id": "93620"}, {"ref": "bharath4246/notebook82dad5b27c", "kernel_id": "95148"}, {"ref": "vishesh21/notebook7c7511d055", "kernel_id": "93036"}, {"ref": "joelone/titanic-logistic-regression", "kernel_id": "105075"}, {"ref": "devvishal/notebook122e51ef22", "kernel_id": "93582"}, {"ref": "shastri17/exploring-survival-on-the-titanic", "kernel_id": "172586"}, {"ref": "shamim/notebook5067aed457", "kernel_id": "429924"}, {"ref": "shamim/play-around-with-titanic-dataset", "kernel_id": "429930"}, {"ref": "nikhitasagar/titanic-first-neural-network-approach", "kernel_id": "102716"}, {"ref": "roymario/a-journey-through-titanic", "kernel_id": "98305"}, {"ref": "roymario/a-journey-through-titanic-7c717d04", "kernel_id": "99880"}, {"ref": "dylanmj/exploring-survival-on-the-titanic", "kernel_id": "93215"}, {"ref": "draugustine/predicting-survival-cart-ensemble-methods", "kernel_id": "396396"}, {"ref": "sitakumar/a-journey-through-titanic", "kernel_id": "92487"}, {"ref": "fl0r3k/titanic-survival-modeling", "kernel_id": "94437"}, {"ref": "britmegan05/first-go", "kernel_id": "92507"}, {"ref": "rishabmarkand/titanic", "kernel_id": "92448"}, {"ref": "davidsaffo/notebook0f0a31993e", "kernel_id": "92500"}, {"ref": "verita/notebook8fd0647f49", "kernel_id": "232603"}, {"ref": "dionnedasdcruz/a-journey-through-titanic", "kernel_id": "99541"}, {"ref": "ildefonso/a-journey-through-titanic", "kernel_id": "92918"}, {"ref": "jeonghunyoon/logistic-randomforest-svm-svm-with-pca", "kernel_id": "834161"}, {"ref": "stevenknguyen/first-kernel-submission", "kernel_id": "176289"}, {"ref": "olliecodes/notebookd9c05df149", "kernel_id": "174715"}, {"ref": "srevisan/a-journey-through-titanic", "kernel_id": "105918"}, {"ref": "spagadala/notebooke5050133b3", "kernel_id": "95839"}, {"ref": "spagadala/notebook4d6c283f41", "kernel_id": "95018"}, {"ref": "shivam04/survivor", "kernel_id": "174920"}, {"ref": "shivam04/titanic-survivor", "kernel_id": "174927"}, {"ref": "shivam04/notebook34819a5621", "kernel_id": "198033"}, {"ref": "shivam04/titanic-1", "kernel_id": "198088"}, {"ref": "shivam04/titanic-1h", "kernel_id": "293717"}, {"ref": "johnluo721/titanic-survival", "kernel_id": "151217"}, {"ref": "psawant/a-journey-through-titanic", "kernel_id": "92637"}, {"ref": "horbycheu/a-journey-through-titanic", "kernel_id": "178839"}, {"ref": "horbycheu/titanic-data-science-solutions", "kernel_id": "185968"}, {"ref": "xcgyoona/a-journey-through-titanic", "kernel_id": "92673"}, {"ref": "reakins/titanictest", "kernel_id": "92606"}, {"ref": "asherlee/a-journey-through-titanic-922fd5d7", "kernel_id": "93568"}, {"ref": "asherlee/a-journey-through-titanic", "kernel_id": "92667"}, {"ref": "huangkx/notebook575487dc32", "kernel_id": "226782"}, {"ref": "bichukrishnan/titat", "kernel_id": "92688"}, {"ref": "cheninkaggle/a-journey-through-titanic", "kernel_id": "92660"}, {"ref": "aljojose/a-journey-through-titanic", "kernel_id": "92698"}, {"ref": "gahlotmohit/notebookd7aeb838bc", "kernel_id": "230227"}, {"ref": "gahlotmohit/notebook76ed28c3d2", "kernel_id": "230232"}, {"ref": "clusterduck/my-submission", "kernel_id": "142956"}, {"ref": "clusterduck/first-run", "kernel_id": "142951"}, {"ref": "gwangmin/a-journey-through-titanic", "kernel_id": "92772"}, {"ref": "trarbish/a-journey-through-titanic", "kernel_id": "92711"}, {"ref": "trarbish/fork-of-a-journey-through-titanic", "kernel_id": "92713"}, {"ref": "felixinml/a-journey-through-titanic", "kernel_id": "92954"}, {"ref": "citation/titanic", "kernel_id": "93971"}, {"ref": "jesustorres/notebookcb5f67c007", "kernel_id": "92762"}, {"ref": "haymor/random-forest-benchmark-r", "kernel_id": "92771"}, {"ref": "hawkinsliam/simple-random-forest", "kernel_id": "189192"}, {"ref": "rclotion/trial", "kernel_id": "92818"}, {"ref": "saswatasanaa/testooo", "kernel_id": "93187"}, {"ref": "saswatasanaa/random-forest-benchmark-r", "kernel_id": "93188"}, {"ref": "dhatfiel/a-journey-through-titanic", "kernel_id": "93615"}, {"ref": "javiervlab/exploring-titanic", "kernel_id": "104032"}, {"ref": "jeschroeder/notebookec5241642b", "kernel_id": "105628"}, {"ref": "jeschroeder/first-titanic-upload", "kernel_id": "105629"}, {"ref": "jeschroeder/notebook508c7159f9", "kernel_id": "105640"}, {"ref": "slemasne/notebookcb86d23e28", "kernel_id": "92866"}, {"ref": "ddoice/first", "kernel_id": "97258"}, {"ref": "jvidhi/titanic-survival-prdeiction", "kernel_id": "149587"}, {"ref": "shenchun/a-journey-through-titanic", "kernel_id": "93253"}, {"ref": "shenchun/a-journey-through-titanic-ae787770", "kernel_id": "98474"}, {"ref": "dataer2016/myfirstcompetition", "kernel_id": "278267"}, {"ref": "dataer2016/a-journey-through-titanic", "kernel_id": "125097"}, {"ref": "dataer2016/a-journey-through-titanic-63063dc3", "kernel_id": "125102"}, {"ref": "fyzhsn/titanic-survival-svm", "kernel_id": "105536"}, {"ref": "fyzhsn/titanic-survival-with-svm", "kernel_id": "105517"}, {"ref": "fyzhsn/titanic-logistic-regression", "kernel_id": "105522"}, {"ref": "fyzhsn/a-journey-through-titanic", "kernel_id": "105444"}, {"ref": "xuejunwinner/a-journey-through-titanic", "kernel_id": "98445"}, {"ref": "xuejunwinner/a-journey-through-titanic-597c770e", "kernel_id": "98734"}, {"ref": "diddypwn/notebook3a00f68026", "kernel_id": "93465"}, {"ref": "apandeet/notebookf7a692d098", "kernel_id": "111536"}, {"ref": "rashmitarouy01/titanic-predicting-the-survivors", "kernel_id": "244349"}, {"ref": "dims33/testing", "kernel_id": "117656"}, {"ref": "joaogl/a-journey-through-titanic", "kernel_id": "93066"}, {"ref": "mrsaxobeat/a-journey-through-titanic", "kernel_id": "101736"}, {"ref": "liucharles/notebookd139fb4e66", "kernel_id": "134639"}, {"ref": "liucharles/notebook99894d0d88", "kernel_id": "134828"}, {"ref": "liucharles/titanic-best-working-classifier", "kernel_id": "134814"}, {"ref": "liucharles/roy-s-titanic-notebook", "kernel_id": "134297"}, {"ref": "liucharles/a-journey-through-titanic-0156e743", "kernel_id": "133335"}, {"ref": "liucharles/a-journey-through-titanic-a055a7e7", "kernel_id": "132960"}, {"ref": "ibersh/notebook158e9d991b", "kernel_id": "101842"}, {"ref": "colinobrienbi/random-forest-classifier-titanic-dataset", "kernel_id": "95470"}, {"ref": "bslaks/a-journey-through-titanic", "kernel_id": "94734"}, {"ref": "shihaojing/a-journey-through-titanic-538d7901", "kernel_id": "109650"}, {"ref": "konnermacias/notebook8c236e5c79", "kernel_id": "95751"}, {"ref": "shreeraj/notebookc64a33792d", "kernel_id": "94503"}, {"ref": "arj0013/titanic-competition", "kernel_id": "93239"}, {"ref": "webzjuyujun/notebookce76440078", "kernel_id": "95422"}, {"ref": "mootwo7/notebook84f70e92f3", "kernel_id": "175025"}, {"ref": "cfgauss/notebook3fb30a902f", "kernel_id": "100354"}, {"ref": "wlsanders/a-journey-through-titanic", "kernel_id": "93277"}, {"ref": "maxfromkaggle/hello", "kernel_id": "201050"}, {"ref": "maxfromkaggle/notebook56d450bfa6", "kernel_id": "201036"}, {"ref": "hannibalsb/a-journey-through-titanic", "kernel_id": "106180"}, {"ref": "ilmcconnell/a-journey-through-titanic", "kernel_id": "97069"}, {"ref": "ilmcconnell/a-journey-through-titanic-247430eb", "kernel_id": "97316"}, {"ref": "feilele/trytry", "kernel_id": "98041"}, {"ref": "feilele/trynow", "kernel_id": "96173"}, {"ref": "victorambonati/kaggle-competition-titanic-survival", "kernel_id": "131046"}, {"ref": "bhavneetsi/exploring-survival-on-the-titanic", "kernel_id": "132863"}, {"ref": "kakinokki/a-journey-through-titanic", "kernel_id": "180724"}, {"ref": "loesknoben/notebookdd669c8ab5", "kernel_id": "93623"}, {"ref": "fluchi/titanic-competition-dataset-analysis", "kernel_id": "477424"}, {"ref": "ltelwest/a-journey-through-titanic", "kernel_id": "174328"}, {"ref": "ltelwest/a-journey-through-titanic-07118ce6", "kernel_id": "174357"}, {"ref": "roggin/titanic-exploratory-analysis-with-pca", "kernel_id": "95268"}, {"ref": "uvcelokesh/titanic-survivor-analysis-different-perspectives", "kernel_id": "121470"}, {"ref": "mehdib/a-titanic-voyage", "kernel_id": "93447"}, {"ref": "tuckerdarby/titanic-learning", "kernel_id": "93449"}, {"ref": "ashishjagani/titanic-data-science-solutions", "kernel_id": "151627"}, {"ref": "ashishjagani/my-first-kernel-credit-goes-to-a-lot-of-resources", "kernel_id": "151755"}, {"ref": "ashishjagani/titanic-exploration-demo", "kernel_id": "151734"}, {"ref": "amogh100/notebook88b34c20ad", "kernel_id": "160528"}, {"ref": "amogh100/solution", "kernel_id": "160529"}, {"ref": "tmfdk333/notebook3d22ee001d", "kernel_id": "93587"}, {"ref": "saketsingh/titanic", "kernel_id": "93548"}, {"ref": "danjan1234/a-journey-through-titanic", "kernel_id": "119923"}, {"ref": "augusto91/titanic", "kernel_id": "93553"}, {"ref": "shayan360/a-journey-through-titanic", "kernel_id": "93555"}, {"ref": "shayan360/a-journey-through-titanic-2df29fa3", "kernel_id": "93575"}, {"ref": "ppushpa/notebook4febd9e234", "kernel_id": "178951"}, {"ref": "ywlisdsr001/a-journey-through-titanic", "kernel_id": "135719"}, {"ref": "smallhuihui/scikit-learn-ml-from-start-to-finish", "kernel_id": "223023"}, {"ref": "smallhuihui/an-interactive-data-science-tutorial-e26a24", "kernel_id": "222838"}, {"ref": "smallhuihui/titanic-random-forest-82-78", "kernel_id": "222122"}, {"ref": "smallhuihui/introduction-to-ensembling-stacking-in-python", "kernel_id": "222115"}, {"ref": "smallhuihui/titanic-data-science-solutions-ecd905", "kernel_id": "220074"}, {"ref": "smallhuihui/the-optimal-parameters-of-the-random-forest-model", "kernel_id": "226679"}, {"ref": "smallhuihui/introduction-to-ensembling-stacking-in-pyth-515cdc", "kernel_id": "226387"}, {"ref": "smallhuihui/test1", "kernel_id": "227359"}, {"ref": "mickmccart/notebookb1808ac775", "kernel_id": "185699"}, {"ref": "mickmccart/notebook9dc3da2241", "kernel_id": "185672"}, {"ref": "mickmccart/initial-forays", "kernel_id": "185681"}, {"ref": "mickmccart/a-journey-through-titanic", "kernel_id": "185678"}, {"ref": "harshdingwani/my-script", "kernel_id": "232152"}, {"ref": "prash027/notebookd405d94130", "kernel_id": "93598"}, {"ref": "j2letters/first-script-logistic-regression", "kernel_id": "113314"}, {"ref": "o10aadm/mierdaejercicio", "kernel_id": "93657"}, {"ref": "bending0/sample-script", "kernel_id": "94745"}, {"ref": "bending0/this-is-only-a-test-learning", "kernel_id": "94462"}, {"ref": "slickskills/notebook62dc5dca45", "kernel_id": "93627"}, {"ref": "slickskills/titanic-v2", "kernel_id": "105664"}, {"ref": "slickskills/notebookd3501e1414", "kernel_id": "105667"}, {"ref": "slickskills/a-journey-through-titanic", "kernel_id": "103325"}, {"ref": "sanchavan/notebookcbc6bd3d72", "kernel_id": "219580"}, {"ref": "jkanugo/a-journey-through-titanic", "kernel_id": "99362"}, {"ref": "hemanthsavasere/notebook8ed5e2758d", "kernel_id": "228851"}, {"ref": "paulvineeth/notebook994c8e7446", "kernel_id": "219717"}, {"ref": "alexm88/titanic-test", "kernel_id": "93658"}, {"ref": "sabrinahan/data-visualization-about-titanic-2", "kernel_id": "298780"}, {"ref": "niketkot/a-journey-through-titanic", "kernel_id": "194985"}, {"ref": "nkdxczh/notebook3a13078249", "kernel_id": "93691"}, {"ref": "aquintero/notebook5c8f66bd8e", "kernel_id": "93718"}, {"ref": "aquintero/titanic", "kernel_id": "93761"}, {"ref": "graydon/testing", "kernel_id": "107708"}, {"ref": "vx2008/a-journey-through-titanic", "kernel_id": "124068"}, {"ref": "parthassatpathy/complete-visualization-randomforest", "kernel_id": "245280"}, {"ref": "ashtavakra/notebooka9348391a4", "kernel_id": "313786"}, {"ref": "srraob/titanic-first-script", "kernel_id": "93902"}, {"ref": "stmatengss/a-journey-through-titanic", "kernel_id": "94150"}, {"ref": "stmatengss/my-first-submit", "kernel_id": "94147"}, {"ref": "sourabhswain/notebook1d210836db", "kernel_id": "94647"}, {"ref": "xiaohuilu/a-journey-through-titanic", "kernel_id": "94286"}, {"ref": "xiaohuilu/notebookebc9050d00", "kernel_id": "231229"}, {"ref": "xiaohuilu/notebook5ab6400239", "kernel_id": "231231"}, {"ref": "xiaohuilu/notebook8d8486bf62", "kernel_id": "231232"}, {"ref": "andlan/fork-of-notebook72d9c83f2f", "kernel_id": "97364"}, {"ref": "lewwel/notebook147eb04997", "kernel_id": "93819"}, {"ref": "ngocvuong/a-journey-through-titanic", "kernel_id": "181591"}, {"ref": "alexspas/fork-of-a-journey-through-titanic", "kernel_id": "149531"}, {"ref": "alexspas/mastering-the-basics-on-the-rms-titanic", "kernel_id": "149927"}, {"ref": "gayatripushpita/a-journey-through-titanic", "kernel_id": "513523"}, {"ref": "maxlagraauw/notebookd75beefcc3", "kernel_id": "186157"}, {"ref": "dixdan2008/titanic", "kernel_id": "100490"}, {"ref": "areebaatif/titanic", "kernel_id": "93861"}, {"ref": "siddharthoza/sid-s-code-titanic", "kernel_id": "93925"}, {"ref": "devsks/a-journey-through-titanic", "kernel_id": "93909"}, {"ref": "adslwang4602/notebooke869ad6b17", "kernel_id": "127621"}, {"ref": "ajthomp2/notebook80e1939362", "kernel_id": "207799"}, {"ref": "rkapoor3/test-1-titanic", "kernel_id": "105547"}, {"ref": "yuduow/a-journey-through-titanic-1fa98d2a", "kernel_id": "157758"}, {"ref": "yuduow/a-journey-through-titanic-33b9931a", "kernel_id": "157309"}, {"ref": "yuduow/a-journey-through-titanic", "kernel_id": "154980"}, {"ref": "ihunter/a-journey-through-titanic", "kernel_id": "96369"}, {"ref": "zhaoqi94/exploratory-tutorial-titanic", "kernel_id": "111959"}, {"ref": "zhaoqi94/a-journey-through-titanic", "kernel_id": "127668"}, {"ref": "yafngzh/a-journey-through-titanic", "kernel_id": "93997"}, {"ref": "aaronyang/a-journey-through-titanic", "kernel_id": "94002"}, {"ref": "aaronyang/a-journey-through-titanic-25985002", "kernel_id": "94062"}, {"ref": "aloisiohenrique/notebook5875eef2d5", "kernel_id": "121674"}, {"ref": "zerafachris/titanic-py", "kernel_id": "94017"}, {"ref": "zerafachris/titanic-r", "kernel_id": "94015"}, {"ref": "zerafachris/notebook9e840fa675", "kernel_id": "94013"}, {"ref": "soumenseth/notebook9757a41c42", "kernel_id": "98682"}, {"ref": "kagglehh/notebooke1c62cb87d", "kernel_id": "189650"}, {"ref": "lawftymike/a-journey-through-titanic", "kernel_id": "94028"}, {"ref": "track217/notebook4fec851623", "kernel_id": "94741"}, {"ref": "cybajdata/notebook3c1d2c80fa", "kernel_id": "185912"}, {"ref": "cybajdata/titanic-data-science-solutions", "kernel_id": "185914"}, {"ref": "cybajdata/notebooka914b6e13d", "kernel_id": "185770"}, {"ref": "cybajdata/a-journey-through-titanic", "kernel_id": "185777"}, {"ref": "danielhanchen/dhc-titanic-random-forests-80", "kernel_id": "211024"}, {"ref": "danielhanchen/datasoc-titanic-analysis-no-ml-experience", "kernel_id": "354804"}, {"ref": "danielhanchen/notebook329c69e57f", "kernel_id": "231159"}, {"ref": "azazdeaz/title", "kernel_id": "266426"}, {"ref": "shreyasbakre/mtcars123", "kernel_id": "205043"}, {"ref": "shreyasbakre/awesomestat", "kernel_id": "204130"}, {"ref": "shreyasbakre/matrix-inversion", "kernel_id": "183263"}, {"ref": "shreyasbakre/notebook7a89abf1af", "kernel_id": "181663"}, {"ref": "shreyasbakre/tritanic", "kernel_id": "171845"}, {"ref": "shreyasbakre/titanic", "kernel_id": "171852"}, {"ref": "hisajesh/notebook10c2a71dcb", "kernel_id": "94100"}, {"ref": "weizhengwei/titanic-disaster-prediction", "kernel_id": "214060"}, {"ref": "kgtmyk/notebook984846c1c4", "kernel_id": "121463"}, {"ref": "kgtmyk/notebook66611e5bb7", "kernel_id": "121465"}, {"ref": "kgtmyk/notebookb247ac8c8c", "kernel_id": "94095"}, {"ref": "rochachan/introduction-to-ensembling-stacking-in-python", "kernel_id": "258566"}, {"ref": "rochachan/an-interactive-data-science-tutorial", "kernel_id": "238577"}, {"ref": "crimsonfox/notebook916c621a73", "kernel_id": "95625"}, {"ref": "klyn2809/a-journey-through-titanic", "kernel_id": "140188"}, {"ref": "klyn2809/kaggle-titanic-001", "kernel_id": "140189"}, {"ref": "klyn2809/titanic-best-working-classifier", "kernel_id": "140190"}, {"ref": "klyn2809/a-journey-through-titanic-aad1adde", "kernel_id": "140192"}, {"ref": "bharathbs93/notebookcda5dc6323", "kernel_id": "227561"}, {"ref": "bharathbs93/titanic-tutorial", "kernel_id": "263079"}, {"ref": "ducatte/exploring-survival-on-the-titanic", "kernel_id": "103809"}, {"ref": "naeemkh/tuned-cforest-public-score-0-80861", "kernel_id": "151215"}, {"ref": "jerrylinkaggle/gender", "kernel_id": "98485"}, {"ref": "jerrylinkaggle/titannic", "kernel_id": "98486"}, {"ref": "vicomedina/notebookaa6bed5cfb", "kernel_id": "149618"}, {"ref": "vicomedina/notebook709b64e6b2", "kernel_id": "94269"}, {"ref": "vicomedina/fork-of-notebook9fb26800f0", "kernel_id": "94489"}, {"ref": "vicomedina/notebook9fb26800f0", "kernel_id": "94415"}, {"ref": "dushyantgoyal/titanic", "kernel_id": "94273"}, {"ref": "rsmars/hello-world", "kernel_id": "94298"}, {"ref": "jerrywu0904/a-journey-through-titanic", "kernel_id": "94542"}, {"ref": "jerrywu0904/a-journey-through-titanic-a591843f", "kernel_id": "101304"}, {"ref": "vampire2016/a-journey-through-titanic", "kernel_id": "177327"}, {"ref": "vampire2016/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "177354"}, {"ref": "demolaakande/exploratory-tutorial-titanic-disaster", "kernel_id": "115893"}, {"ref": "demolaakande/a-journey-through-titanic", "kernel_id": "132695"}, {"ref": "demolaakande/a-journey-through-titanic-2098f76d", "kernel_id": "132697"}, {"ref": "vipyaohaobin/an-interactive-data-science-tutorial-d7edf2", "kernel_id": "212035"}, {"ref": "somil1992/notebook552586531f", "kernel_id": "213231"}, {"ref": "hasanhameed/notebookdd1e1f4544", "kernel_id": "94352"}, {"ref": "r0zeabi/a-journey-through-titanic", "kernel_id": "100396"}, {"ref": "charlie1s/notebookfc10b04c5d", "kernel_id": "251239"}, {"ref": "charlie1s/notebook3516ec6c72", "kernel_id": "251220"}, {"ref": "thpeti/a-journey-through-titanic", "kernel_id": "94476"}, {"ref": "claudioratke/modelo-regress-o-logistica", "kernel_id": "94675"}, {"ref": "joaquinreina/notebookd8af9d69a6", "kernel_id": "169456"}, {"ref": "fanrenlangzi/feature-engineering", "kernel_id": "306821"}, {"ref": "fanrenlangzi/training-with-xgboost", "kernel_id": "296006"}, {"ref": "mahdads/notebookbef00c0d67", "kernel_id": "259771"}, {"ref": "deeded/20161211-test", "kernel_id": "134075"}, {"ref": "acewhite/cold-as-ice-surviving-titanic-with-xgboost", "kernel_id": "171492"}, {"ref": "hwa123/titanic-survival-prediction", "kernel_id": "94490"}, {"ref": "leukone/a-journey-through-titanic", "kernel_id": "119773"}, {"ref": "kangyu/try-titanic", "kernel_id": "173993"}, {"ref": "hugstone/heheh", "kernel_id": "94572"}, {"ref": "alaershov/titanic-r", "kernel_id": "95079"}, {"ref": "chanakya18/notebook96e5748f52", "kernel_id": "227084"}, {"ref": "pacham/kilerd", "kernel_id": "206212"}, {"ref": "echodll/second", "kernel_id": "94834"}, {"ref": "echodll/first", "kernel_id": "94832"}, {"ref": "psramkumar25/titanic-practice-notebook", "kernel_id": "95122"}, {"ref": "psramkumar25/titanic-practice-script", "kernel_id": "95110"}, {"ref": "lizhili/a-journey-through-titanic", "kernel_id": "119066"}, {"ref": "marqram/notebookd31a154922", "kernel_id": "94628"}, {"ref": "devang18/notebook97c515011a", "kernel_id": "138823"}, {"ref": "devang18/a-journey-through-titanic", "kernel_id": "138846"}, {"ref": "dddreku/notebookaf117d8808", "kernel_id": "260609"}, {"ref": "trunglv/a-journey-through-titanic", "kernel_id": "96803"}, {"ref": "trunglv/titanic-passenger-survival", "kernel_id": "94656"}, {"ref": "ipalash/a-journey-through-titanic", "kernel_id": "94679"}, {"ref": "jalfano/a-journey-through-titanic-bc94af43", "kernel_id": "172621"}, {"ref": "jalfano/a-journey-through-titanic-c652d9c1", "kernel_id": "172725"}, {"ref": "jalfano/a-journey-through-titanic-9887c4dc", "kernel_id": "174239"}, {"ref": "jalfano/a-journey-through-titanic-53d464cd", "kernel_id": "174450"}, {"ref": "jalfano/a-journey-through-titanic-e1e2b298", "kernel_id": "174421"}, {"ref": "jalfano/a-journey-through-titanic-4971bc", "kernel_id": "194295"}, {"ref": "jalfano/a-journey-through-titanic-154aac", "kernel_id": "194270"}, {"ref": "jalfano/a-journey-through-titanic-dd0dc0", "kernel_id": "192157"}, {"ref": "jalfano/a-journey-through-titanic-c391c5", "kernel_id": "192160"}, {"ref": "jalfano/a-journey-through-titanic-4187cd", "kernel_id": "192144"}, {"ref": "jalfano/a-journey-through-titanic-2f2101", "kernel_id": "194260"}, {"ref": "jalfano/a-journey-through-titanic-49b3eb", "kernel_id": "194246"}, {"ref": "jalfano/a-journey-through-titanic-0f9362", "kernel_id": "189973"}, {"ref": "jalfano/a-journey-through-titanic-65ec4c", "kernel_id": "189970"}, {"ref": "jalfano/fork-of-a-journey-through-titanic-dd0dc0", "kernel_id": "213265"}, {"ref": "jalfano/a-journey-through-titanic", "kernel_id": "124273"}, {"ref": "jalfano/2nd-degree-pred-try-to-get-8-score-finalpeng", "kernel_id": "922527"}, {"ref": "jalfano/titanic-27april2018-small-withnosmallcorrels", "kernel_id": "912849"}, {"ref": "jalfano/try-to-get-8-score-using-2nd-degree-pred-pengja", "kernel_id": "912519"}, {"ref": "jalfano/titanic-27april2018am-fall2017codeverbatim", "kernel_id": "912251"}, {"ref": "jalfano/titanic-24april2018logregexplorer-a", "kernel_id": "965649"}, {"ref": "jalfano/a-journey-through-titanic-joea-runs-philyaz-code", "kernel_id": "965722"}, {"ref": "jalfano/titanic-final-robbieoliphant-joea-copy", "kernel_id": "953619"}, {"ref": "jalfano/titanic-9april2018pm", "kernel_id": "833605"}, {"ref": "jalfano/titanic-11april2018amcrude3c", "kernel_id": "847913"}, {"ref": "jalfano/titanic-16april2018latenitecrude7a", "kernel_id": "871013"}, {"ref": "jalfano/titanic-16april2018latenitecrude7b", "kernel_id": "871040"}, {"ref": "jalfano/titanic-16april2018latenitecrude7c", "kernel_id": "871081"}, {"ref": "jalfano/titanic-16april2018latenitecrude7e", "kernel_id": "871222"}, {"ref": "jalfano/titanic-16april2018latenitecrude7d", "kernel_id": "871134"}, {"ref": "jalfano/fork-of-titanic-16april2018pmcrude6itstillworks", "kernel_id": "869680"}, {"ref": "jalfano/titanic-16april2018pmcrude6itworks", "kernel_id": "869022"}, {"ref": "jalfano/titanic-13april2018pmcrude4itworks", "kernel_id": "858236"}, {"ref": "jalfano/try-to-get-8-score-using-anything-pengpmfinal", "kernel_id": "904778"}, {"ref": "jalfano/titanic-25april2018logregexplorer-amcfinal", "kernel_id": "904787"}, {"ref": "jalfano/titanic-25april2018logregexplorer-amc", "kernel_id": "904133"}, {"ref": "jalfano/try-to-get-8-score-using-anything-peng-and-joe", "kernel_id": "904258"}, {"ref": "jalfano/titanic-23april2018logregexplorer-amc", "kernel_id": "895963"}, {"ref": "jalfano/titanic-23april2018logregexplorer-ama", "kernel_id": "895848"}, {"ref": "jalfano/titanic-23april2018logregexplorer-pmcwithkeys", "kernel_id": "896622"}, {"ref": "jalfano/titanic-23april2018logregexplorer-pmc", "kernel_id": "896458"}, {"ref": "jalfano/titanic-23april2018logregexplorer-amb", "kernel_id": "895894"}, {"ref": "jalfano/titanic-16april2018latenitecrude8b", "kernel_id": "878140"}, {"ref": "jalfano/titanic-18april2018latenitecrude8", "kernel_id": "877593"}, {"ref": "jalfano/titanic-16april2018logregexplorer-a", "kernel_id": "885463"}, {"ref": "jalfano/titanic-20april2018logregexplorer-b", "kernel_id": "886051"}, {"ref": "jalfano/titanic-20april2018logregexplorer-c", "kernel_id": "886089"}, {"ref": "jalfano/titanic-20april2018logregexplorer-a", "kernel_id": "885981"}, {"ref": "jalfano/learning-adaline-on-titanic-joea-copy", "kernel_id": "978596"}, {"ref": "jalfano/joesamazingnotebook", "kernel_id": "824552"}, {"ref": "jalfano/joealfanosinkingship2", "kernel_id": "824089"}, {"ref": "jalfano/first-taste-of-ml-using-adaline-peng", "kernel_id": "681408"}, {"ref": "jalfano/a-journey-through-titanic-by-joseph-anthony-alfano", "kernel_id": "681684"}, {"ref": "tomorrowready/titanic-dd-1", "kernel_id": "95901"}, {"ref": "daragari/notebook89931bb709", "kernel_id": "94890"}, {"ref": "roboli/fork-of-a-journey-through-titanic-9eb96c", "kernel_id": "213275"}, {"ref": "roboli/fork-of-a-journey-through-titanic-9eb96c-98c739", "kernel_id": "213288"}, {"ref": "roboli/fork-of-fork-of-a-journey-through-titanic-6-403277", "kernel_id": "210844"}, {"ref": "roboli/fork-of-fork-of-fork-of-fork-of-fork-of-a-journey", "kernel_id": "217645"}, {"ref": "roboli/fork-of-fork-of-fork-of-fork-of-a-journey-t-7295db", "kernel_id": "217642"}, {"ref": "roboli/fork-of-a-journey-through-titanic-9eb96c-b532f4", "kernel_id": "215787"}, {"ref": "roboli/fork-of-fork-of-a-journey-through-titanic-9eb96c-b", "kernel_id": "215791"}, {"ref": "roboli/fork-of-fork-of-fork-of-a-journey-through-titanic", "kernel_id": "215792"}, {"ref": "roboli/a-journey-through-titanic-6a7a83", "kernel_id": "189967"}, {"ref": "roboli/a-journey-through-titanic-25cd2b", "kernel_id": "194241"}, {"ref": "roboli/a-journey-through-titanic-a8601f", "kernel_id": "194255"}, {"ref": "roboli/a-journey-through-titanic-9eb96c", "kernel_id": "192140"}, {"ref": "roboli/a-journey-through-titanic-fbd2f0", "kernel_id": "192158"}, {"ref": "roboli/fork-of-a-journey-through-titanic-fbd2f0", "kernel_id": "192168"}, {"ref": "roboli/a-journey-through-titanic-21d091", "kernel_id": "192173"}, {"ref": "roboli/a-journey-through-titanic-93c9b7", "kernel_id": "194269"}, {"ref": "roboli/a-journey-through-titanic-e5c490", "kernel_id": "194263"}, {"ref": "roboli/a-journey-through-titanic-42d82b", "kernel_id": "194288"}, {"ref": "roboli/fork-of-a-journey-through-titanic-601f89-4d00a7", "kernel_id": "201261"}, {"ref": "roboli/a-journey-through-titanic-601f89", "kernel_id": "197194"}, {"ref": "roboli/a-journey-through-titanic", "kernel_id": "124290"}, {"ref": "roboli/titanic-final-robbieoliphant", "kernel_id": "949062"}, {"ref": "zhsong/a-journey-through-titanic", "kernel_id": "124293"}, {"ref": "zhsong/a-journey-through-titanic-6af0153a", "kernel_id": "125344"}, {"ref": "zhsong/a-journey-through-titanic-30fb841a", "kernel_id": "174242"}, {"ref": "pankajagrawalla/notebook824d431682", "kernel_id": "100878"}, {"ref": "pankajagrawalla/notebookb34ff3456e", "kernel_id": "101569"}, {"ref": "mdonaghey3195/a-journey-through-titanic", "kernel_id": "124291"}, {"ref": "tjamescf28/a-journey-through-titanic-4cdf9d", "kernel_id": "197193"}, {"ref": "tjamescf28/a-journey-through-titanic-cf101a", "kernel_id": "197236"}, {"ref": "tjamescf28/fork-of-a-journey-through-titanic-61023c", "kernel_id": "194286"}, {"ref": "tjamescf28/a-journey-through-titanic-7e01da", "kernel_id": "194293"}, {"ref": "tjamescf28/a-journey-through-titanic-32a6ca", "kernel_id": "194298"}, {"ref": "tjamescf28/a-journey-through-titanic-68afdd", "kernel_id": "194257"}, {"ref": "tjamescf28/a-journey-through-titanic-57598a", "kernel_id": "194267"}, {"ref": "tjamescf28/a-journey-through-titanic-61023c", "kernel_id": "194275"}, {"ref": "tjamescf28/a-journey-through-titanic-24f732", "kernel_id": "192162"}, {"ref": "tjamescf28/a-journey-through-titanic-586aad", "kernel_id": "194248"}, {"ref": "tjamescf28/a-journey-through-titanic", "kernel_id": "189971"}, {"ref": "tjamescf28/a-journey-through-titanic-703315", "kernel_id": "189987"}, {"ref": "isaacfeng/a-journey-through-titanic", "kernel_id": "94961"}, {"ref": "isaacfeng/notebooke401e890f6", "kernel_id": "95073"}, {"ref": "rsinha877/notebookf858a74982", "kernel_id": "267151"}, {"ref": "sweetman/notebook92b6fae6f0", "kernel_id": "118084"}, {"ref": "sweetman/a-journey-through-titanic", "kernel_id": "113027"}, {"ref": "sweetman/notebook35ad07578a", "kernel_id": "109990"}, {"ref": "johncenzersr/notebook2b43235b4f", "kernel_id": "113691"}, {"ref": "johncenzersr/notebookfbdaf35bba", "kernel_id": "113845"}, {"ref": "goinlum/a-journey-through-titanic", "kernel_id": "94780"}, {"ref": "aleklim/notebook5ea61efb84", "kernel_id": "103702"}, {"ref": "abhaikollara/a-journey-through-titanic", "kernel_id": "98969"}, {"ref": "dhruvesh/beautiful-dashboards-in-r", "kernel_id": "283870"}, {"ref": "dhruvesh/ensembling", "kernel_id": "306371"}, {"ref": "jtillett/a-journey-through-titanic", "kernel_id": "99452"}, {"ref": "lubosm/titanic-sandbox", "kernel_id": "95281"}, {"ref": "dankrahenbuhl/notebookf858e46d8f", "kernel_id": "94847"}, {"ref": "dbenny42/a-journey-through-titanic", "kernel_id": "98802"}, {"ref": "jessicagurewitz/notebook96b906195f", "kernel_id": "97542"}, {"ref": "davidfumo/exploratory-tutorial-titanic-disaster", "kernel_id": "113640"}, {"ref": "davidfumo/titanic-machine-learning-from-a-disaster", "kernel_id": "113591"}, {"ref": "davidfumo/exploring-survival-on-the-titanic", "kernel_id": "115358"}, {"ref": "davidfumo/machine-learning-from-disaster", "kernel_id": "113451"}, {"ref": "woooody/notebook1e82fe8438", "kernel_id": "178590"}, {"ref": "paulorismmm/titanic-comparing-multiple-classifiers", "kernel_id": "950107"}, {"ref": "nickgoumas/a-journey-through-titanic", "kernel_id": "94844"}, {"ref": "howardlee603/a-journey-through-titanic-cdb36bc5", "kernel_id": "95445"}, {"ref": "howardlee603/a-journey-through-titanic", "kernel_id": "95152"}, {"ref": "audreyqvial/notebookc2cff5ba3a", "kernel_id": "162434"}, {"ref": "shashaalam/exploring-the-titanic-dataset", "kernel_id": "173374"}, {"ref": "mcelikkaya/notebook8f7b9a2bb3", "kernel_id": "94960"}, {"ref": "sahilmoza/the-titanic-classification", "kernel_id": "273403"}, {"ref": "npat0003/titanic-data-wrangling-and-analysis", "kernel_id": "136704"}, {"ref": "cnjn22/first-try-in-kaggle", "kernel_id": "135839"}, {"ref": "cnjn22/notebook16821f7554", "kernel_id": "134087"}, {"ref": "hbzhangchn/a-journey-through-titanic", "kernel_id": "129585"}, {"ref": "hbzhangchn/a-journey-through-titanic-908fa541", "kernel_id": "130217"}, {"ref": "profawsm/a-journey-through-titanic", "kernel_id": "160176"}, {"ref": "nehagoyal/notebookecba8acb8f", "kernel_id": "141167"}, {"ref": "nehagoyal/notebookb63d36c80a", "kernel_id": "201927"}, {"ref": "amitchiku/notebookfeafe1683a", "kernel_id": "197336"}, {"ref": "liketheflower/titanic-practise", "kernel_id": "232675"}, {"ref": "liketheflower/a-journey-through-titanic", "kernel_id": "98691"}, {"ref": "yanfen/an-interactive-data-science-tutorial", "kernel_id": "259950"}, {"ref": "yanfen/notebook5881f09843", "kernel_id": "259978"}, {"ref": "yanfen/titanic-data-science-solutions", "kernel_id": "258689"}, {"ref": "haukursig/notebookddc7556ac5", "kernel_id": "117310"}, {"ref": "alexks8/notebook624445cd76", "kernel_id": "138873"}, {"ref": "vociferousonion/flyingollie-meets-kaggle-s-titanic", "kernel_id": "95072"}, {"ref": "manishym/titanic-best-working-classifier-87e47b", "kernel_id": "194814"}, {"ref": "manishym/titanic-best-working-classifier-d55459", "kernel_id": "195587"}, {"ref": "manishym/titanic-best-working-classifier", "kernel_id": "192828"}, {"ref": "mylearn/myfisrt-py", "kernel_id": "111689"}, {"ref": "ichabod93/a-journey-through-titanic-4ef8bb55", "kernel_id": "115598"}, {"ref": "kongshuchenecnu/a-journey-through-titanic", "kernel_id": "95145"}, {"ref": "dishant19/a-journey-through-titanic", "kernel_id": "98440"}, {"ref": "dishant19/a-journey-through-titanic-d294052c", "kernel_id": "98484"}, {"ref": "kotduhogna/notebook5ded8d5ab5", "kernel_id": "228485"}, {"ref": "kotduhogna/first-one", "kernel_id": "228486"}, {"ref": "zackenton/a-journey-through-titanic", "kernel_id": "95175"}, {"ref": "hertan/0-808-with-simple-stacking", "kernel_id": "252398"}, {"ref": "hertan/titanic-surviving-dataset-simple-expression", "kernel_id": "202783"}, {"ref": "wangdingding/a-journey-through-titanic", "kernel_id": "95222"}, {"ref": "johnzhao/notebookf01837f9c4", "kernel_id": "95361"}, {"ref": "ameld93/kaggle-try-codezen", "kernel_id": "136054"}, {"ref": "codetako/titanic-data-science-solutions", "kernel_id": "241008"}, {"ref": "mmurry/notebook3b383dfdd9", "kernel_id": "95386"}, {"ref": "mmurry/murry-s-struggle-berg", "kernel_id": "95387"}, {"ref": "coffeycathal/random-forest-benchmark-r", "kernel_id": "95719"}, {"ref": "iloop2/notebookfca9028831", "kernel_id": "95282"}, {"ref": "jjk257/dudley-code", "kernel_id": "99089"}, {"ref": "kevinspahr/a-journey-through-titanic-d316302b", "kernel_id": "95807"}, {"ref": "kevinspahr/a-journey-through-titanic", "kernel_id": "95336"}, {"ref": "kevinspahr/a-journey-through-titanic-d0a3c955", "kernel_id": "95376"}, {"ref": "kevinspahr/a-journey-through-titanic-e16f3e99", "kernel_id": "95498"}, {"ref": "kevinspahr/a-journey-through-titanic-ab4c2062", "kernel_id": "96348"}, {"ref": "kevinspahr/a-journey-through-titanic-493e215e", "kernel_id": "96360"}, {"ref": "datasmrt/a-journey-through-titanic-96d23552", "kernel_id": "114259"}, {"ref": "datasmrt/a-journey-through-titanic", "kernel_id": "101786"}, {"ref": "jelenakitanovic/notebook6e7e5c31b3", "kernel_id": "95808"}, {"ref": "zjjhxkc/notebook3c386d3db1", "kernel_id": "122325"}, {"ref": "tsahay/a-journey-through-titanic", "kernel_id": "150083"}, {"ref": "quadmx08/notebookf87507b3b0", "kernel_id": "171175"}, {"ref": "rambler1/notebooka46c5d602c", "kernel_id": "95377"}, {"ref": "huyaxin/notebooke5297a1fbe", "kernel_id": "95391"}, {"ref": "sjyxzqwx2016/notebook8c3c67e2f7", "kernel_id": "100418"}, {"ref": "snayak88/titanic", "kernel_id": "116896"}, {"ref": "snayak88/random-forest-benchmark-r", "kernel_id": "119406"}, {"ref": "simonweiss/introduction-to-ensembling-stacking-in-python", "kernel_id": "191011"}, {"ref": "ralphdewit/a-journey-through-titanic", "kernel_id": "96203"}, {"ref": "machapujitha/notebook38f83f1caf", "kernel_id": "180730"}, {"ref": "machapujitha/notebook319e18e4e8", "kernel_id": "158237"}, {"ref": "osawill/notebooka05790c2e6", "kernel_id": "96720"}, {"ref": "mingyuz/notebookd9ffd20c44", "kernel_id": "96171"}, {"ref": "mobavarian/a-journey-through-titanic-f9c6a944", "kernel_id": "165912"}, {"ref": "mobavarian/a-journey-through-titanic", "kernel_id": "165853"}, {"ref": "mobavarian/a-journey-through-titanic-54d1d945", "kernel_id": "166701"}, {"ref": "mobavarian/notebookf33e1b8de2", "kernel_id": "165253"}, {"ref": "javierdejuan/notebookd665550426", "kernel_id": "106280"}, {"ref": "javierdejuan/basic-model-using-pandas-and-sklearn", "kernel_id": "99888"}, {"ref": "platzh1rsch/notebook6bcecbee50", "kernel_id": "95566"}, {"ref": "tingxiao/titanic", "kernel_id": "250031"}, {"ref": "mas0nic/titanic-data", "kernel_id": "96779"}, {"ref": "nsrose7224/titanic-best-working-classifier-fork", "kernel_id": "136379"}, {"ref": "zacpez/dataexploration-titanicml", "kernel_id": "248769"}, {"ref": "flyingbee/a-journey-through-titanic", "kernel_id": "95607"}, {"ref": "jingxili/a-journey-through-titanic", "kernel_id": "96240"}, {"ref": "wadakei/testcode", "kernel_id": "95628"}, {"ref": "wadakei/random-forest-benchmark-r", "kernel_id": "98977"}, {"ref": "yhyu13/genetic-programming-lb-0-88-forked", "kernel_id": "111821"}, {"ref": "haanmo/tutorial-1", "kernel_id": "95624"}, {"ref": "cpiano/exploratory-tutorial-titanic", "kernel_id": "113506"}, {"ref": "robmarkcole/a-journey-through-titanic", "kernel_id": "95734"}, {"ref": "pantelispanka/notebook658dab8b64", "kernel_id": "156581"}, {"ref": "jeffsd/titanic-essaie-1", "kernel_id": "96253"}, {"ref": "kevintan101/notebook73ee747662", "kernel_id": "95729"}, {"ref": "zerotang/first-testing", "kernel_id": "95728"}, {"ref": "zerotang/fork-of-first-testing", "kernel_id": "95896"}, {"ref": "spchou/a-journey-through-titanic", "kernel_id": "95802"}, {"ref": "agilajah/myfirstkaggle", "kernel_id": "269847"}, {"ref": "xiao22/a-journey-through-titanic", "kernel_id": "96315"}, {"ref": "xiao22/titanic", "kernel_id": "95753"}, {"ref": "troyskygt/a-journey-through-titanic-a7a14cab", "kernel_id": "123324"}, {"ref": "troyskygt/a-journey-through-titanic", "kernel_id": "123312"}, {"ref": "abhi199624/titanic", "kernel_id": "99246"}, {"ref": "naqoyqatsi/notebook7bd2eeddf9", "kernel_id": "155544"}, {"ref": "samilyak/titanic", "kernel_id": "95816"}, {"ref": "aksiii/a-journey-through-titanic", "kernel_id": "96570"}, {"ref": "rgopinath/notebook4a87fa7a22", "kernel_id": "232517"}, {"ref": "rgopinath/titanic", "kernel_id": "232520"}, {"ref": "netrajmejari/notebook1dcbeb310c", "kernel_id": "256370"}, {"ref": "netrajmejari/titanic-survival-prediction", "kernel_id": "256380"}, {"ref": "dannytang/titantic-test", "kernel_id": "95843"}, {"ref": "hulaman/testtitanic", "kernel_id": "95861"}, {"ref": "tianzhuwang/train", "kernel_id": "96747"}, {"ref": "sym60123/titanic-survival-prediction-8855e6", "kernel_id": "192577"}, {"ref": "sym60123/titanic-survival-prediction", "kernel_id": "191873"}, {"ref": "sym60123/titanic-random-forest-82-78-1d872e", "kernel_id": "191755"}, {"ref": "sym60123/titanic-random-forest-82-78-2952e8", "kernel_id": "191782"}, {"ref": "sym60123/titanic-random-forest-82-78-709f33", "kernel_id": "191785"}, {"ref": "sym60123/titanic-random-forest-82-78", "kernel_id": "191744"}, {"ref": "sym60123/titanic-data-science-solutions-ebbe68", "kernel_id": "191655"}, {"ref": "sym60123/titanic-data-science-solutions", "kernel_id": "191652"}, {"ref": "rajeevprasanna/notebook08a73c159c", "kernel_id": "95887"}, {"ref": "neeraj1519/notebook0753e0b9f2", "kernel_id": "95946"}, {"ref": "sunnytonymichael/kaggle-titanic-analyticsdojo", "kernel_id": "100569"}, {"ref": "viczyf/titanic-survival-prediction-forked", "kernel_id": "187157"}, {"ref": "viczyf/a-journey-through-titanic", "kernel_id": "185020"}, {"ref": "viczyf/titanic-random-forest-82-78", "kernel_id": "185160"}, {"ref": "wangjiawei0823/2016-9-17-1", "kernel_id": "97552"}, {"ref": "abheet22/notebook144706dd02", "kernel_id": "95955"}, {"ref": "abheet22/notebook073fb026d4", "kernel_id": "95934"}, {"ref": "humin127/titanic-test", "kernel_id": "218985"}, {"ref": "nyokinyoki/notebook1a804d2110", "kernel_id": "148358"}, {"ref": "vizcharlie/exploring-survival-on-the-titanic", "kernel_id": "95944"}, {"ref": "amit2312/titanic", "kernel_id": "110711"}, {"ref": "lipingzhao/a-journey-through-titanic", "kernel_id": "97414"}, {"ref": "ketanhwr/notebook8bbb45c582", "kernel_id": "131175"}, {"ref": "aashay96/notebookfe743ae160", "kernel_id": "201293"}, {"ref": "ofnovember/notebook205f60ec0e", "kernel_id": "109239"}, {"ref": "ofnovember/a-journey-through-titanic", "kernel_id": "109165"}, {"ref": "ofnovember/titanic-test", "kernel_id": "109353"}, {"ref": "jam459/notebookbe5a9c67bc", "kernel_id": "136761"}, {"ref": "bill3000/a-journey-through-titanic", "kernel_id": "101718"}, {"ref": "mariuszwilk/titanic-1-0", "kernel_id": "99937"}, {"ref": "oforia/a-journey-through-titanic", "kernel_id": "100240"}, {"ref": "jungwon/notebook4404ca2bfc", "kernel_id": "212506"}, {"ref": "jungwon/notebookc77a405ab3", "kernel_id": "99312"}, {"ref": "j2kann/a-journey-through-titanic", "kernel_id": "100424"}, {"ref": "rwhitt2049/a-journey-through-titanic", "kernel_id": "106713"}, {"ref": "lauragwilliams/titanic-analysis", "kernel_id": "96102"}, {"ref": "jc5000/notebook8bb1ce62f5", "kernel_id": "96147"}, {"ref": "jc5000/titanic", "kernel_id": "97791"}, {"ref": "jc5000/test5", "kernel_id": "97796"}, {"ref": "llykaggle/notebooka8e477ab67", "kernel_id": "280402"}, {"ref": "llykaggle/notebookb7173f2e69", "kernel_id": "275029"}, {"ref": "llykaggle/notebookdfb4e6bbe0", "kernel_id": "277354"}, {"ref": "denstorti/a-journey-through-titanic", "kernel_id": "110187"}, {"ref": "hemantkhurana/random-forest-on-titanic-data", "kernel_id": "192840"}, {"ref": "hemantkhurana/exploring-survival-on-the-titanic", "kernel_id": "180799"}, {"ref": "nickyang/a-journey-through-titanic", "kernel_id": "96218"}, {"ref": "priyankgupta86/a-journey-through-titanic", "kernel_id": "97099"}, {"ref": "shreyakupadhyay/titanic", "kernel_id": "97917"}, {"ref": "kabled/life-and-death-on-the-titanic", "kernel_id": "179510"}, {"ref": "mcrtransctns/mainscript", "kernel_id": "268924"}, {"ref": "karthiml/notebook51bb364881", "kernel_id": "186107"}, {"ref": "roggiezhang/a-journey-through-titanic-be288aa3", "kernel_id": "98045"}, {"ref": "roggiezhang/a-journey-through-titanic", "kernel_id": "97644"}, {"ref": "kerrja/titanictest", "kernel_id": "101904"}, {"ref": "ppallesen/notebook388ea683bf", "kernel_id": "216784"}, {"ref": "purpledevil47/an-interactive-data-science-tutorial", "kernel_id": "255355"}, {"ref": "affemitwaffel/notebook03d1b314c7", "kernel_id": "96281"}, {"ref": "mvdults/notebook53a91b53a2", "kernel_id": "96297"}, {"ref": "mvdults/notebook5895d45f76", "kernel_id": "98958"}, {"ref": "saranyakm/a-journey-through-titanic", "kernel_id": "183888"}, {"ref": "qvajou/fork-of-kaggle-titanic-001-2930bad1", "kernel_id": "146151"}, {"ref": "qvajou/fork-of-kaggle-titanic-001", "kernel_id": "145878"}, {"ref": "qvajou/titanic-disaster-first-test", "kernel_id": "209808"}, {"ref": "ep1804/titanic-survival", "kernel_id": "101692"}, {"ref": "droogs/survivor", "kernel_id": "102729"}, {"ref": "munichpavel/a-journey-through-titanic", "kernel_id": "96311"}, {"ref": "munichpavel/a-journey-through-titanic-65101ff2", "kernel_id": "96352"}, {"ref": "indhushreyas/notebook70fa0334ea", "kernel_id": "101101"}, {"ref": "gkchaitu/notebook3993304bd1", "kernel_id": "96327"}, {"ref": "branchwarren/notebook3cbdfa956f", "kernel_id": "96678"}, {"ref": "branchwarren/version1", "kernel_id": "96679"}, {"ref": "ayusha/notebook71e60764c1", "kernel_id": "253052"}, {"ref": "ayush261/notebook9a40e9f054", "kernel_id": "227907"}, {"ref": "gomesbruna/titanic-v2-0", "kernel_id": "184994"}, {"ref": "gomesbruna/titanic-survival-prediction-1", "kernel_id": "173950"}, {"ref": "gomesbruna/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "167252"}, {"ref": "gomesbruna/testando", "kernel_id": "167289"}, {"ref": "gomesbruna/test-2", "kernel_id": "167270"}, {"ref": "cbrioso/titanic-rf", "kernel_id": "140065"}, {"ref": "cbrioso/notebook814b1be793", "kernel_id": "112351"}, {"ref": "cbrioso/titanic", "kernel_id": "112355"}, {"ref": "venkataramesh/a-journey-through-titanic", "kernel_id": "121506"}, {"ref": "kay2mj/fork-of-titanic-by-neural-network-with-keras", "kernel_id": "306908"}, {"ref": "kay2mj/titanic-by-neural-network-with-keras", "kernel_id": "306863"}, {"ref": "kay2mj/simple-titanic-2017-06-27", "kernel_id": "295509"}, {"ref": "athebard/notebook68e767285d", "kernel_id": "96475"}, {"ref": "mothiki/mytitanic", "kernel_id": "97742"}, {"ref": "mothiki/mytitanicusf", "kernel_id": "97744"}, {"ref": "piatskia/a-journey-through-titanic", "kernel_id": "96429"}, {"ref": "damleadwait/notebook21815d9f77", "kernel_id": "96551"}, {"ref": "damleadwait/firstscript", "kernel_id": "96470"}, {"ref": "damleadwait/notebookc99f995d7f", "kernel_id": "96466"}, {"ref": "damleadwait/firstsubmission", "kernel_id": "96493"}, {"ref": "damleadwait/notebook7636c1ac8e", "kernel_id": "240347"}, {"ref": "damleadwait/notebookcd35284ceb", "kernel_id": "214662"}, {"ref": "irgaliyev/titanic", "kernel_id": "96774"}, {"ref": "rojre1979/a-journey-through-titanic-9722ade4", "kernel_id": "154500"}, {"ref": "rojre1979/exploring-survival-on-the-titanic", "kernel_id": "138503"}, {"ref": "rojre1979/a-journey-through-titanic", "kernel_id": "133512"}, {"ref": "rojre1979/decision-tree-visualization-example", "kernel_id": "102818"}, {"ref": "stevenc49/hello2", "kernel_id": "220659"}, {"ref": "stevenc49/notebookafdfe94859", "kernel_id": "218104"}, {"ref": "stevenc49/hello", "kernel_id": "218106"}, {"ref": "stevenc49/tolist", "kernel_id": "218608"}, {"ref": "nitin007/a-journey-to-begin-with", "kernel_id": "248421"}, {"ref": "nitin007/a-journey-through-titanic", "kernel_id": "153474"}, {"ref": "derter/notebooka08b6040fc", "kernel_id": "108377"}, {"ref": "derter/notebook0ad89a38eb", "kernel_id": "109219"}, {"ref": "derter/notebook8c921476b5", "kernel_id": "107650"}, {"ref": "mfandreas/xxxxxc", "kernel_id": "237550"}, {"ref": "mfandreas/notebookf24bbd1380", "kernel_id": "237553"}, {"ref": "mfandreas/mlugs-hands-on", "kernel_id": "238098"}, {"ref": "mfandreas/notebook8516ae5e5a", "kernel_id": "238102"}, {"ref": "mfandreas/notebooke78effa888", "kernel_id": "233786"}, {"ref": "mfandreas/first-try", "kernel_id": "233793"}, {"ref": "yuanwxu/exploring-survival-on-the-titanic", "kernel_id": "97641"}, {"ref": "pleask/notebooka197657a4b", "kernel_id": "221117"}, {"ref": "matheom/neural-network-example-using-titanic-dataset", "kernel_id": "105501"}, {"ref": "wolfgangpfnuer/notebook91381475e8", "kernel_id": "97167"}, {"ref": "wolfgangpfnuer/testa", "kernel_id": "97168"}, {"ref": "sriramv16/titanic", "kernel_id": "130482"}, {"ref": "gangu28/titanic", "kernel_id": "117822"}, {"ref": "kein1945/titanic", "kernel_id": "102327"}, {"ref": "gman321/titanic", "kernel_id": "100715"}, {"ref": "ddaniel/a-journey-through-titanic-7e6c5592", "kernel_id": "102447"}, {"ref": "ddaniel/a-journey-through-titanic", "kernel_id": "101924"}, {"ref": "sidselpn/test1-0", "kernel_id": "96642"}, {"ref": "jespino/a-journey-through-titanic", "kernel_id": "105961"}, {"ref": "jespino/my-random-forest-implementation", "kernel_id": "105965"}, {"ref": "alexiad/titanic-neural-net", "kernel_id": "181827"}, {"ref": "jmblackmer/titanic", "kernel_id": "96693"}, {"ref": "leesainhe/notebookc60ccaef2e", "kernel_id": "264952"}, {"ref": "msegedi/notebook41582588e8", "kernel_id": "96725"}, {"ref": "mtseman/notebooke523d1ff64", "kernel_id": "96730"}, {"ref": "gauravnemade/survival-prediction-on-titanic", "kernel_id": "219422"}, {"ref": "zhiyangcai/notebook715fd9a74b", "kernel_id": "99113"}, {"ref": "kwacute/a-journey-through-titanic", "kernel_id": "97573"}, {"ref": "kwacute/a-journey-through-titanic-a323aaf8", "kernel_id": "97614"}, {"ref": "sonder/a-journey-through-titanic-c2b47e32", "kernel_id": "96770"}, {"ref": "sonder/a-journey-through-titanic", "kernel_id": "96744"}, {"ref": "sonder/sonder-titanic", "kernel_id": "98106"}, {"ref": "sonder/fork-of-a-journey-through-titanic-c2b47e32", "kernel_id": "151241"}, {"ref": "sonder/a-journey-through-titanic-590620fe", "kernel_id": "150978"}, {"ref": "bianxiaotuan/a-journey-through-titanic", "kernel_id": "124128"}, {"ref": "bianxiaotuan/exploratory-tutorial-titanic", "kernel_id": "129407"}, {"ref": "nightshade7/titanic-for-python-3", "kernel_id": "116581"}, {"ref": "nightshade7/notebooka78b9d1c31", "kernel_id": "205939"}, {"ref": "nightshade7/notebook216660be42", "kernel_id": "205937"}, {"ref": "altrickter/notebookcd01f6a723", "kernel_id": "219498"}, {"ref": "altrickter/notebookbe917c57fb", "kernel_id": "221220"}, {"ref": "blackbunny/titanic-warmup", "kernel_id": "103245"}, {"ref": "nikeshpraj/titanic-testing", "kernel_id": "202633"}, {"ref": "nikeshpraj/testing", "kernel_id": "202604"}, {"ref": "tcxyuwl/a-journey-through-titanic", "kernel_id": "101747"}, {"ref": "clairetian/a-journey-through-titanic", "kernel_id": "120861"}, {"ref": "shikhargupta95/notebook092809d586", "kernel_id": "182498"}, {"ref": "shikhargupta95/notebook868b74c80a", "kernel_id": "182655"}, {"ref": "dineshpamanji/notebook983861a4e6", "kernel_id": "201075"}, {"ref": "domkwok/a-journey-through-titanic", "kernel_id": "99906"}, {"ref": "rchatterjee/blabla", "kernel_id": "96896"}, {"ref": "idayeh/notebookf070a16c85", "kernel_id": "100379"}, {"ref": "idayeh/notebook8d14416a2c", "kernel_id": "106208"}, {"ref": "gccode/exploring-survival-on-the-titanic", "kernel_id": "99801"}, {"ref": "spencerma/first-trial", "kernel_id": "104290"}, {"ref": "lcsuperman2011/a-journey-through-titanic", "kernel_id": "96894"}, {"ref": "nandofarias/a-journey-through-titanic", "kernel_id": "96908"}, {"ref": "zaradata/notebookb2d0c583de", "kernel_id": "108072"}, {"ref": "zaradata/survived-or-not-survived", "kernel_id": "108074"}, {"ref": "kallar/myfirsttry", "kernel_id": "96947"}, {"ref": "kallar/myfirsttry1", "kernel_id": "96954"}, {"ref": "kallar/notebook082fad29d1", "kernel_id": "97081"}, {"ref": "kallar/a-journey-through-titanic-5faabcbb", "kernel_id": "97347"}, {"ref": "yogi045/preprocess-and-predicting-using-random-forest", "kernel_id": "325911"}, {"ref": "ksukmanskaya/notebook33a2534ae4", "kernel_id": "96930"}, {"ref": "phanikiran99/basic-model-using-pandas-and-sklearn", "kernel_id": "98450"}, {"ref": "phanikiran99/titanic-survivals-using-rf-logistic-regression", "kernel_id": "100330"}, {"ref": "mikaelm/a-journey-through-titanic", "kernel_id": "97207"}, {"ref": "tyagin/a-journey-through-titanic", "kernel_id": "97751"}, {"ref": "kiran05/notebookf63a4376d1", "kernel_id": "220954"}, {"ref": "baharazari/notebooka1e6e7d9af", "kernel_id": "97366"}, {"ref": "sfdbbb/notebookbaf8ce97a9", "kernel_id": "142380"}, {"ref": "sfdbbb/notebook20108fff64", "kernel_id": "142390"}, {"ref": "atulit123/scikit-learn-ml-from-start-to-finish", "kernel_id": "109947"}, {"ref": "atulit123/notebook41153c155e", "kernel_id": "106477"}, {"ref": "omd123/a-journey-through-titanic", "kernel_id": "110168"}, {"ref": "cryogenetic/a-journey-through-titanic", "kernel_id": "96991"}, {"ref": "pkamath/notebook692568707d", "kernel_id": "97006"}, {"ref": "vaishnavj/a-journey-through-titanic", "kernel_id": "97025"}, {"ref": "mlameya/a-journey-through-titanic", "kernel_id": "97024"}, {"ref": "watermelone/a-journey-through-titanic", "kernel_id": "97580"}, {"ref": "watermelone/a-journey-through-titanic-17d75d7b", "kernel_id": "99067"}, {"ref": "amittu/my-model-rf", "kernel_id": "542205"}, {"ref": "venkatkolli/exploratory-data-analysis-of-titanic-dataset", "kernel_id": "814859"}, {"ref": "venkatkolli/eda-of-titanic-dataset", "kernel_id": "843991"}, {"ref": "chenqi13/titanic-best-working-classifier", "kernel_id": "152607"}, {"ref": "dineshr/notebookfa3ef9a979", "kernel_id": "97067"}, {"ref": "dineshr/notebook2fb5de1fdc", "kernel_id": "98334"}, {"ref": "dineshr/notebookb1e5324c8f", "kernel_id": "98360"}, {"ref": "jpalatty/notebookf69ba3f420", "kernel_id": "245732"}, {"ref": "manojpothuganti/an-interactive-data-science-tutorial", "kernel_id": "168360"}, {"ref": "tompeng1/others-just-try", "kernel_id": "134319"}, {"ref": "tompeng1/project-1", "kernel_id": "122887"}, {"ref": "kiopli/exploring-survival-on-the-titanic", "kernel_id": "136011"}, {"ref": "liujingyang/abcdefg", "kernel_id": "97360"}, {"ref": "liujingyang/notebookdb1ef213ac", "kernel_id": "97358"}, {"ref": "deepanjalgupta/titanic-deepanjal-gupta", "kernel_id": "730589"}, {"ref": "l3nnys/notebookca652520a7", "kernel_id": "147015"}, {"ref": "l3nnys/dense-highway-neural-network-for-titanic", "kernel_id": "147016"}, {"ref": "sarunaskas/titanic", "kernel_id": "124765"}, {"ref": "sarunaskas/main-one", "kernel_id": "249509"}, {"ref": "edouardmalet/a-journey-through-titanic-40224c14", "kernel_id": "102207"}, {"ref": "edouardmalet/machine-learning-from-disaster-first-kernel", "kernel_id": "101934"}, {"ref": "edouardmalet/a-journey-through-titanic-f31b887e", "kernel_id": "101951"}, {"ref": "edouardmalet/a-journey-through-titanic", "kernel_id": "101907"}, {"ref": "edouardmalet/titanic", "kernel_id": "101880"}, {"ref": "akshu935/titianic", "kernel_id": "255740"}, {"ref": "kamalsam/titanic-best-working-classifier", "kernel_id": "222845"}, {"ref": "kamalsam/notebookf9653e1ce1", "kernel_id": "222802"}, {"ref": "kamalsam/notebooka2c9f91a20", "kernel_id": "223622"}, {"ref": "ericgrasby/titanic-data-challenge-ecgrasby", "kernel_id": "222275"}, {"ref": "menoseegood/juliapractice", "kernel_id": "97245"}, {"ref": "menoseegood/notebookba6fefa339", "kernel_id": "97247"}, {"ref": "susheelg5/a-journey-through-titanic", "kernel_id": "110547"}, {"ref": "tadeucomp/titanic", "kernel_id": "200831"}, {"ref": "tadeucomp/notebook30441fa8eb", "kernel_id": "195677"}, {"ref": "unalakunal/notebook41cc768cc3", "kernel_id": "264859"}, {"ref": "bretthandrews/titanic-v1", "kernel_id": "142968"}, {"ref": "epxjk82/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "155032"}, {"ref": "learningx/naive-random-forest-approach", "kernel_id": "186930"}, {"ref": "learningx/using-random-forest", "kernel_id": "186339"}, {"ref": "d1d13rj00/notebooka435e24b13", "kernel_id": "101442"}, {"ref": "zhxiangxyang/titanic", "kernel_id": "102513"}, {"ref": "zhxiangxyang/titanic1", "kernel_id": "102514"}, {"ref": "chalusf3/a-journey-through-titanic", "kernel_id": "127717"}, {"ref": "mihinsumaria/kaggle-titanic", "kernel_id": "234519"}, {"ref": "lanwu1994/notebook406180f08a", "kernel_id": "209305"}, {"ref": "laurapple/a-journey-through-titanic-10bc1725", "kernel_id": "158054"}, {"ref": "laurapple/a-journey-through-titanic", "kernel_id": "98109"}, {"ref": "laurapple/a-journey-through-titanic-8fc65a38", "kernel_id": "111089"}, {"ref": "muhammadputera/titanic-notebook", "kernel_id": "103487"}, {"ref": "asquad/a-journey-through-titanic", "kernel_id": "97404"}, {"ref": "jeru666/aboard-the-titanic-new-features-modeling", "kernel_id": "341510"}, {"ref": "jeru666/titanic-with-reduced-memory-by-57", "kernel_id": "342126"}, {"ref": "dbenson/derek-s-first-script", "kernel_id": "98189"}, {"ref": "dbenson/derek-s-1st-script", "kernel_id": "98190"}, {"ref": "dbenson/exploring-survival-on-the-titanic", "kernel_id": "98191"}, {"ref": "avinashkaitha/a-journey-through-titanic", "kernel_id": "98026"}, {"ref": "avinashkaitha/a-journey-through-titanic-79f48301", "kernel_id": "159916"}, {"ref": "spaceanubis/a-journey-through-titanic", "kernel_id": "97610"}, {"ref": "xbeiba/xbeiba-titanic", "kernel_id": "97981"}, {"ref": "jroy17/decision-tree-visualization-submission", "kernel_id": "167486"}, {"ref": "jeremysilver/first-shot-at-titanic", "kernel_id": "97538"}, {"ref": "malberg/notebook1529a7f22d", "kernel_id": "99075"}, {"ref": "jjcruzhernandez/notebook04d54d86b7", "kernel_id": "103044"}, {"ref": "aadimator/notebookdafae7a3e6", "kernel_id": "225368"}, {"ref": "gauravjoshi1986/studying-the-titanic-dataset", "kernel_id": "98693"}, {"ref": "d4rk1nj3ra/titanic-data-science-solutions", "kernel_id": "248059"}, {"ref": "keisuke0826/titanic-random-forest-classifier", "kernel_id": "106125"}, {"ref": "helloworld123/notebook3c77860e19", "kernel_id": "202241"}, {"ref": "pacifik80/yandex-catboost-demo", "kernel_id": "320089"}, {"ref": "thrinity/notebook2390c141b3", "kernel_id": "99213"}, {"ref": "thrinity/a-journey-through-titanic", "kernel_id": "100073"}, {"ref": "wetdumpling/notebook5b198188ea", "kernel_id": "139533"}, {"ref": "shreydatta/notebook1eb69d4f84", "kernel_id": "221441"}, {"ref": "mrichard/notebook47cf7625c4", "kernel_id": "240030"}, {"ref": "mrichard/notebookc618c3b8a5", "kernel_id": "240829"}, {"ref": "anushree20/notebooka25d1a8188", "kernel_id": "182120"}, {"ref": "christiebeauchamp/titanic", "kernel_id": "98697"}, {"ref": "andybega/notebook6b7f424ee9", "kernel_id": "97676"}, {"ref": "andybega/titanic", "kernel_id": "97680"}, {"ref": "getchaz/a-journey-through-titanic", "kernel_id": "190911"}, {"ref": "enowang/notebook29645b0754", "kernel_id": "115297"}, {"ref": "enowang/a-journey-through-titanic", "kernel_id": "116949"}, {"ref": "joelmateo3/prueba-titanic", "kernel_id": "97707"}, {"ref": "espanto28/titantic-challenge-with-tensorflow", "kernel_id": "830503"}, {"ref": "abcrank/a-journey-through-titanic", "kernel_id": "107032"}, {"ref": "nishantsinha/titanic-competition", "kernel_id": "97807"}, {"ref": "peteski/notebook9cc657d7ee", "kernel_id": "98048"}, {"ref": "rtmartin35/exploring-survival-on-the-titanic", "kernel_id": "97784"}, {"ref": "weirdpaper/hiddd", "kernel_id": "97788"}, {"ref": "jingbinxu/titanic-evaluation", "kernel_id": "117785"}, {"ref": "jingbinxu/preliminary-exploration", "kernel_id": "148793"}, {"ref": "jingbinxu/fork-of-titanic-evaluation", "kernel_id": "148812"}, {"ref": "zhanghaoastro/titanic-empty", "kernel_id": "97798"}, {"ref": "maikeywc/a-journey-through-titanic", "kernel_id": "111603"}, {"ref": "leapoahead/titanic-run-through-ii", "kernel_id": "98571"}, {"ref": "dmiller/titanic-survival-analysis-prediction", "kernel_id": "423714"}, {"ref": "st3ve3/hbvbjhl", "kernel_id": "137030"}, {"ref": "silverspringn81/notebookbc2035274f", "kernel_id": "148492"}, {"ref": "machinist1996/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "173190"}, {"ref": "spulkit/notebookb57535585a", "kernel_id": "260423"}, {"ref": "alibaba164/notebookc94d118427", "kernel_id": "204260"}, {"ref": "alibaba164/notebookb886640884", "kernel_id": "200975"}, {"ref": "wlgchqh/a-journey-through-titanic", "kernel_id": "97881"}, {"ref": "irandy/a-journey-through-titanic", "kernel_id": "108216"}, {"ref": "mareklew/a-journey-through-titanic", "kernel_id": "98154"}, {"ref": "rainson/a-journey-through-titanic", "kernel_id": "112509"}, {"ref": "rainson/trial", "kernel_id": "101143"}, {"ref": "liuhaokun/test1", "kernel_id": "100078"}, {"ref": "deveshs22/titanictest", "kernel_id": "98122"}, {"ref": "analyticsdojo/kaggle-titanic-analyticsdojo", "kernel_id": "97986"}, {"ref": "analyticsdojo/titanic-baseline-models-analyticsdojo-python", "kernel_id": "98042"}, {"ref": "analyticsdojo/titanic-baseline-models-analyticsdojo-r", "kernel_id": "99970"}, {"ref": "yshweta/notebook52e9e9a306", "kernel_id": "203316"}, {"ref": "sheenag/notebookad994128f9", "kernel_id": "102727"}, {"ref": "ilanaradinsky/a-journey-through-titanic-ilana-v1", "kernel_id": "176944"}, {"ref": "ilanaradinsky/experimenting-with-titanic-dataset-in-python", "kernel_id": "215013"}, {"ref": "jechovarta/a-journey-through-titanic", "kernel_id": "98029"}, {"ref": "damonhao/a-journey-through-titanic", "kernel_id": "178180"}, {"ref": "damonhao/fork-of-a-journey-through-titanic", "kernel_id": "181499"}, {"ref": "rotems/a-journey-through-titanic", "kernel_id": "176828"}, {"ref": "akhilkoditala/a-journey-through-titanic-516f4cd6", "kernel_id": "112271"}, {"ref": "akhilkoditala/a-journey-through-titanic", "kernel_id": "112110"}, {"ref": "akhilkoditala/a-journey-through-titanic-fae4a9c0", "kernel_id": "113937"}, {"ref": "gvravi/exploring-survival-on-the-titanic", "kernel_id": "266299"}, {"ref": "lizhxtu/notebookac125b862e", "kernel_id": "101251"}, {"ref": "lizhxtu/notebook7d799b3489", "kernel_id": "103210"}, {"ref": "mohitkundu/notebook9b2eb2c0fc", "kernel_id": "238138"}, {"ref": "mayerc/kaggle-titanic-001", "kernel_id": "98105"}, {"ref": "codingma/titanic-best-working-classifier-ma", "kernel_id": "177782"}, {"ref": "yaswanthsvist/notebook15881505d5", "kernel_id": "181987"}, {"ref": "holgerkemper/notebook9c3b3986eb", "kernel_id": "123786"}, {"ref": "holgerkemper/notebook31e1e3d97a", "kernel_id": "142090"}, {"ref": "atuljjoshi05/titanic-random-forest", "kernel_id": "100885"}, {"ref": "florianlegris/notebook0cdb9ead03", "kernel_id": "98516"}, {"ref": "florianlegris/titanic-descriptive", "kernel_id": "98162"}, {"ref": "florianlegris/sandbox", "kernel_id": "165539"}, {"ref": "ftraian/notebookd3264ae1e9", "kernel_id": "116688"}, {"ref": "vaidyts/notebook0013f45c8a", "kernel_id": "98524"}, {"ref": "cmavvv/exploratory-tutorial-titanic-disaster", "kernel_id": "116199"}, {"ref": "invokeralex/titanic-best-working-classifier", "kernel_id": "138821"}, {"ref": "jagainu/titanic-note", "kernel_id": "349771"}, {"ref": "kidjourney/notebookafda9727ba", "kernel_id": "211431"}, {"ref": "okeybond/testt", "kernel_id": "98211"}, {"ref": "okeybond/a-journey-through-titanic", "kernel_id": "98213"}, {"ref": "nikhilsable/fork-of-logistic-regression-for-titanic-survivors", "kernel_id": "312439"}, {"ref": "nikhilsable/logistic-regression-for-titanic-survivors", "kernel_id": "312426"}, {"ref": "ghysthms2/a-journey-through-titanic", "kernel_id": "111767"}, {"ref": "ghysthms2/notebook52bd02172c", "kernel_id": "118144"}, {"ref": "tomfarmer/test-script", "kernel_id": "221126"}, {"ref": "tomfarmer/test-titanic-data-notebook", "kernel_id": "227314"}, {"ref": "shraddhasubhedar/notebook309205bdb2", "kernel_id": "98331"}, {"ref": "shraddhasubhedar/notebookb5bbb66e85", "kernel_id": "98644"}, {"ref": "rdcolema/titanic-preds", "kernel_id": "98557"}, {"ref": "rdcolema/titanic", "kernel_id": "98551"}, {"ref": "spencerjduncan/titantic-tutorial-stuff", "kernel_id": "98370"}, {"ref": "spencerjduncan/test1", "kernel_id": "98386"}, {"ref": "spencerjduncan/notebook60b3f4beaf", "kernel_id": "98389"}, {"ref": "wangwenyan/a-journey-through-titanic", "kernel_id": "102869"}, {"ref": "djamshed/an-interactive-data-science-tutorial", "kernel_id": "266966"}, {"ref": "ketand19/notebook3f68202060", "kernel_id": "235342"}, {"ref": "rajbgt/notebooke5e8b7e160", "kernel_id": "187010"}, {"ref": "wshxj123/exploring-survival-on-the-titanic", "kernel_id": "122365"}, {"ref": "wshxj123/data-processing-of-tatanic", "kernel_id": "121539"}, {"ref": "wshxj123/processing-data", "kernel_id": "121428"}, {"ref": "wshxj123/my-solution", "kernel_id": "121004"}, {"ref": "anotheranshu/titanic-prediction-py", "kernel_id": "98407"}, {"ref": "brucardoso2/a-journey-through-titanic", "kernel_id": "98422"}, {"ref": "brucardoso2/a-journey-through-titanic-25edc423", "kernel_id": "99651"}, {"ref": "esionneau/notebook1814080ca4", "kernel_id": "265633"}, {"ref": "esionneau/notebook32ec38c593", "kernel_id": "265643"}, {"ref": "afdalwahyu/a-journey-through-titanic", "kernel_id": "98463"}, {"ref": "btrips/titanic-assignment", "kernel_id": "98741"}, {"ref": "philippevery/my-first-script", "kernel_id": "98503"}, {"ref": "flysamc/learning", "kernel_id": "98509"}, {"ref": "leapleap/titanic-analysis-heavy-on-the-data-cleaning", "kernel_id": "135224"}, {"ref": "mlearner9/testing-kaggle", "kernel_id": "100085"}, {"ref": "mlearner9/hello-earth", "kernel_id": "100098"}, {"ref": "william2632/a-journey-through-titanic", "kernel_id": "98550"}, {"ref": "nottourist/exploring-survival-on-the-titanic", "kernel_id": "218542"}, {"ref": "nottourist/somescript", "kernel_id": "218544"}, {"ref": "kineticpayload/a-journey-through-titanic", "kernel_id": "98807"}, {"ref": "aishmittal/first-logistic-regression", "kernel_id": "138195"}, {"ref": "gilleslouwerens/first-titanic", "kernel_id": "124722"}, {"ref": "cravelo/a-journey-through-titanic", "kernel_id": "102019"}, {"ref": "nazoulay/notebook4a7adab1b3", "kernel_id": "249228"}, {"ref": "nazoulay/titanic-competitionb", "kernel_id": "176059"}, {"ref": "nazoulay/titanic-competition-nath", "kernel_id": "211321"}, {"ref": "nazoulay/titanic-competition", "kernel_id": "192023"}, {"ref": "randre18/decision-tree-visualization-submission", "kernel_id": "162151"}, {"ref": "superraja/a-journey-through-titanic", "kernel_id": "160948"}, {"ref": "yugrao/notebook0a2e1b1b87", "kernel_id": "99060"}, {"ref": "yugrao/asdf12497", "kernel_id": "99053"}, {"ref": "yugrao/titanic2", "kernel_id": "100203"}, {"ref": "yugrao/exploring-survival-on-the-titanic", "kernel_id": "100204"}, {"ref": "yugrao/titanic", "kernel_id": "100199"}, {"ref": "yugrao/titanic-n", "kernel_id": "100200"}, {"ref": "research95/clean-data", "kernel_id": "408247"}, {"ref": "eegeorge/notebook5ad4da184d", "kernel_id": "153354"}, {"ref": "reynolma/a-journey-through-titanic", "kernel_id": "98790"}, {"ref": "mtrias/a-journey-through-titanic", "kernel_id": "98683"}, {"ref": "deesha/firstkagglecode", "kernel_id": "101435"}, {"ref": "sydney920/a-journey-through-titanic", "kernel_id": "190518"}, {"ref": "sydney920/titanic-random-forest-82-78", "kernel_id": "191565"}, {"ref": "sydney920/notebookdb6840a514", "kernel_id": "193545"}, {"ref": "sydney920/keras-nn", "kernel_id": "201485"}, {"ref": "sevenguin/notebook01b9b8d350", "kernel_id": "129941"}, {"ref": "sevenguin/titanicsurvive", "kernel_id": "130755"}, {"ref": "deepcoder/a-journey-through-titanic-ebba4bc8", "kernel_id": "108281"}, {"ref": "deepcoder/a-journey-through-titanic", "kernel_id": "106083"}, {"ref": "deepcoder/fishexpert", "kernel_id": "99188"}, {"ref": "deepcoder/notebook1e5f6d7fb7", "kernel_id": "221171"}, {"ref": "xiaoquankong/notebook4164f18874", "kernel_id": "103231"}, {"ref": "stvilla/notebookbf2f76141c", "kernel_id": "235493"}, {"ref": "stvilla/notebook782c9a8f9b", "kernel_id": "235495"}, {"ref": "powderman/a-journey-through-titanic-867240fb", "kernel_id": "137332"}, {"ref": "powderman/notebookedd12319ce", "kernel_id": "218956"}, {"ref": "powderman/notebook7678e4cc35", "kernel_id": "218948"}, {"ref": "powderman/notebook0c508d7e9f", "kernel_id": "218950"}, {"ref": "powderman/a-journey-through-titanic", "kernel_id": "98724"}, {"ref": "chrschy/basic-model-using-pandas-and-sklearn", "kernel_id": "103880"}, {"ref": "yonidavidson/notebook33e6fdd17a", "kernel_id": "208011"}, {"ref": "srinivasbakki/notebookb870437f66", "kernel_id": "237294"}, {"ref": "kikishmiki/titanic-passenger-survival-prediction", "kernel_id": "105924"}, {"ref": "vaziry/script-titanic1", "kernel_id": "98998"}, {"ref": "winovexon/titanic-prediction", "kernel_id": "98851"}, {"ref": "moseli/fork-of-notebookec6cc8fd87", "kernel_id": "231775"}, {"ref": "moseli/notebookec6cc8fd87", "kernel_id": "231757"}, {"ref": "bohdanosadchyi/exploratory-tutorial-titanic", "kernel_id": "112591"}, {"ref": "ofersto/ofer-stolov-s-titanic-classifier", "kernel_id": "120236"}, {"ref": "evantyeoh/testing", "kernel_id": "110453"}, {"ref": "coolhj12/notebook714d43828c", "kernel_id": "255939"}, {"ref": "coolhj12/r-test", "kernel_id": "255940"}, {"ref": "coolhj12/titanic-test-learn", "kernel_id": "254360"}, {"ref": "yuliiav/test1", "kernel_id": "100475"}, {"ref": "luiz091/notebookc05259ee98", "kernel_id": "114562"}, {"ref": "luiz091/my-titanic", "kernel_id": "114546"}, {"ref": "bhavna25/analysis-of-titanic-scenario", "kernel_id": "100038"}, {"ref": "mawais/exploring-survival-on-the-titanic", "kernel_id": "112917"}, {"ref": "rpygamer/fork-of-random-forest-from-grid-search-to-hyperopt", "kernel_id": "173306"}, {"ref": "rpygamer/random-forest-from-grid-search-to-hyperopt", "kernel_id": "172883"}, {"ref": "jakellenberger/notebook58c694ada0", "kernel_id": "129000"}, {"ref": "milosv/titanic-data-visualization-sex-vs-pclass", "kernel_id": "99335"}, {"ref": "exatasmente/titanic-rev7", "kernel_id": "194827"}, {"ref": "exatasmente/a-journey-through-titanic", "kernel_id": "194561"}, {"ref": "joshuaw1990/notebook833507b985", "kernel_id": "280237"}, {"ref": "joshuaw1990/titanic-survivor-prediction", "kernel_id": "276248"}, {"ref": "cyslug/notebookfb4f2ba145", "kernel_id": "168238"}, {"ref": "cyslug/notebook06ac2df789", "kernel_id": "168232"}, {"ref": "cyslug/notebook878ea57ba9", "kernel_id": "168233"}, {"ref": "lemonxug/a-journey-through-titanic", "kernel_id": "105205"}, {"ref": "martyr/introduction-to-ensembling-stacking-in-python", "kernel_id": "195702"}, {"ref": "estepona/titanic", "kernel_id": "201561"}, {"ref": "swkim94/test77", "kernel_id": "106396"}, {"ref": "ashyamal/notebook591ae4500f", "kernel_id": "106532"}, {"ref": "ashyamal/first-try-ashyamal", "kernel_id": "106545"}, {"ref": "madhusudhanaithal/a-journey-through-titanic", "kernel_id": "176613"}, {"ref": "liuhang/notebookdd6545ac81", "kernel_id": "108565"}, {"ref": "liuhang/notebook8b9f28eeba", "kernel_id": "111388"}, {"ref": "liuhang/notebookd05c1ccb00", "kernel_id": "113287"}, {"ref": "liuhang/notebook9f5b81407c", "kernel_id": "130173"}, {"ref": "liuhang/a-journey-through-titanic", "kernel_id": "120612"}, {"ref": "georgesalkhouri/notebook5f14647df7", "kernel_id": "228303"}, {"ref": "vinlam/notebook26f11d6ba1", "kernel_id": "100006"}, {"ref": "altrev/notebook4976d475d1", "kernel_id": "99200"}, {"ref": "altrev/titanic", "kernel_id": "98970"}, {"ref": "himako/an-interactive-data-science-tutorial", "kernel_id": "168655"}, {"ref": "sarimadenegemen/notebook8a561dd5da", "kernel_id": "104551"}, {"ref": "frednavruzov/titanic-survival-prediction", "kernel_id": "149790"}, {"ref": "a847087628/introduction-to-ensembling-stacking-in-python", "kernel_id": "258606"}, {"ref": "muriyizz/a-journey-through-titanic", "kernel_id": "99821"}, {"ref": "akhiludathu/a-journey-through-titanic", "kernel_id": "108318"}, {"ref": "balamuralim/notebookdbefe9ea30", "kernel_id": "141302"}, {"ref": "vinipd/a-journey-through-titanic", "kernel_id": "99532"}, {"ref": "raslasarslas/notebookd911108609", "kernel_id": "243833"}, {"ref": "raslasarslas/titanic-disaster-my-notebook", "kernel_id": "243277"}, {"ref": "raslasarslas/notebooke5b0bcd3ea", "kernel_id": "243096"}, {"ref": "raslasarslas/notebook6bb103ab56", "kernel_id": "239979"}, {"ref": "hiroshun/titanic-on-svm", "kernel_id": "378648"}, {"ref": "almikor/notebook200ed70e53", "kernel_id": "99168"}, {"ref": "almikor/notebook135c68ca7d", "kernel_id": "100088"}, {"ref": "almikor/notebook4163efea3e", "kernel_id": "100065"}, {"ref": "almikor/notebookabfd878a9b", "kernel_id": "99827"}, {"ref": "almikor/notebook30e16cb58e", "kernel_id": "101612"}, {"ref": "almikor/notebook440336ab33", "kernel_id": "100930"}, {"ref": "almikor/notebook4af7af5989", "kernel_id": "102874"}, {"ref": "krishnapanakanti/notebook11d83f22e0", "kernel_id": "100163"}, {"ref": "suhasmallya/notebookd719f5d2ca", "kernel_id": "263490"}, {"ref": "op1490/a-journey-through-titanic", "kernel_id": "157557"}, {"ref": "reidj123/notebook5712ba3934", "kernel_id": "99046"}, {"ref": "reidj123/project", "kernel_id": "99059"}, {"ref": "yimeitang/titanic-data-science-solutions", "kernel_id": "254205"}, {"ref": "cclr0128/a-journey-through-titanic", "kernel_id": "107384"}, {"ref": "albertmistu/titanic-tutorial", "kernel_id": "99341"}, {"ref": "albertmistu/titanic-practice", "kernel_id": "99964"}, {"ref": "rubydave/notebook409b1e1be6", "kernel_id": "225183"}, {"ref": "rubydave/notebook6da1aa5a2d", "kernel_id": "209421"}, {"ref": "lillyx/notebook9d2ed0ceb5", "kernel_id": "259909"}, {"ref": "johnhanlon/a-journey-through-titanic", "kernel_id": "171548"}, {"ref": "robdias/predictfy-titanic-survival", "kernel_id": "99309"}, {"ref": "robdias/predictfy-titanic-survival-reviewed", "kernel_id": "102097"}, {"ref": "manthedan/a-journey-through-titanic", "kernel_id": "99121"}, {"ref": "remcos/notebookb28838fb22", "kernel_id": "107703"}, {"ref": "remcos/titanic-my-first-logistic-regression-model", "kernel_id": "106027"}, {"ref": "sjakubczak/notebookf0aef4fe58", "kernel_id": "126001"}, {"ref": "sjakubczak/notebook198fc66c0e", "kernel_id": "126113"}, {"ref": "sjakubczak/notebook198fc66c0e-483c0635", "kernel_id": "126117"}, {"ref": "sjakubczak/notebookd2bacb4d5f", "kernel_id": "132309"}, {"ref": "anassboussarhan/titanic", "kernel_id": "201823"}, {"ref": "reddy0238/first", "kernel_id": "100004"}, {"ref": "irishair/a-journey-through-titanic", "kernel_id": "99195"}, {"ref": "yamadaisao/simple-neural-network-with-1-hidden-layer", "kernel_id": "177047"}, {"ref": "sd4174263/notebook997711ef63", "kernel_id": "113218"}, {"ref": "sd4174263/a-journey-through-titanic-f516a7b3", "kernel_id": "113193"}, {"ref": "sd4174263/a-journey-through-titanic", "kernel_id": "112849"}, {"ref": "sd4174263/a-journey-through-titanic-ee63e7db", "kernel_id": "114350"}, {"ref": "kmehra/a-journey-through-titanic", "kernel_id": "105930"}, {"ref": "ljc0753/gradient-boosting", "kernel_id": "123223"}, {"ref": "eureka386/a-journey-through-titanic", "kernel_id": "99172"}, {"ref": "rjjeffries/a-journey-through-titanic", "kernel_id": "99191"}, {"ref": "samhattangady/tensorflow-titanic", "kernel_id": "172497"}, {"ref": "samhattangady/notebookb97ad1fec2", "kernel_id": "172498"}, {"ref": "samhattangady/notebookb8ce2ac0ef", "kernel_id": "172569"}, {"ref": "samhattangady/notebookc2d3e85900", "kernel_id": "171783"}, {"ref": "samhattangady/titanic", "kernel_id": "171770"}, {"ref": "nicholaskleong/exploring-survival-on-the-titanic", "kernel_id": "99201"}, {"ref": "newmachine/testing-python", "kernel_id": "99481"}, {"ref": "jamesliu/a-guide-to-titanic-challenge", "kernel_id": "230500"}, {"ref": "jamesliu/titanic-best-working-classifier-e0e1f0", "kernel_id": "230483"}, {"ref": "medzila/a-journey-through-titanic", "kernel_id": "101450"}, {"ref": "medzila/forked-code-titanic", "kernel_id": "102898"}, {"ref": "medzila/chris", "kernel_id": "102565"}, {"ref": "medzila/celine-dion", "kernel_id": "102503"}, {"ref": "miararoy/introduction-to-ensembling-stacking-in-python", "kernel_id": "191751"}, {"ref": "slamnz/primer-titantic", "kernel_id": "257474"}, {"ref": "gnxsxm/notebookc657d8f26f", "kernel_id": "105552"}, {"ref": "jojadud/titanic-exploration-1", "kernel_id": "135268"}, {"ref": "sandrab/notebook49af56c915", "kernel_id": "134487"}, {"ref": "paulovalvazori/titanic-survival", "kernel_id": "108436"}, {"ref": "erosinka/notebookb56f4c221e", "kernel_id": "99340"}, {"ref": "erosinka/test-py", "kernel_id": "99330"}, {"ref": "akoeltri/predicting-survival-on-the-titanic", "kernel_id": "168497"}, {"ref": "akoeltri/predicting-titanic-survival", "kernel_id": "167073"}, {"ref": "akoeltri/notebookb091b69316", "kernel_id": "167078"}, {"ref": "akoeltri/notebook625ac0beff", "kernel_id": "167883"}, {"ref": "akoeltri/notebooka8eed62045", "kernel_id": "167857"}, {"ref": "artemqua/titanic1", "kernel_id": "99332"}, {"ref": "ethanryan9/titanic-test", "kernel_id": "99356"}, {"ref": "ethanryan9/notebookdbc27021af", "kernel_id": "117976"}, {"ref": "ethanryan9/test1", "kernel_id": "117977"}, {"ref": "ianmcf/a-journey-through-titanic", "kernel_id": "99361"}, {"ref": "wuerges/titanic-kappa", "kernel_id": "253365"}, {"ref": "esmile/titanic-basics", "kernel_id": "105893"}, {"ref": "xingrobin/a-journey-through-titanic", "kernel_id": "99376"}, {"ref": "yotodragon/a-journey-through-titanic", "kernel_id": "99381"}, {"ref": "varnachandran/notebook0367b9b841", "kernel_id": "108137"}, {"ref": "zourui/a-journey-through-titanic", "kernel_id": "100520"}, {"ref": "parvezalam/gvghf", "kernel_id": "137610"}, {"ref": "hybrideagle/first-attempt", "kernel_id": "520816"}, {"ref": "enuok1/a-journey-through-titanic", "kernel_id": "178745"}, {"ref": "enuok1/titanic-random-forest-82-78", "kernel_id": "178748"}, {"ref": "enuok1/notebookf469491f88", "kernel_id": "180679"}, {"ref": "swetank/a-journey-through-titanic", "kernel_id": "100535"}, {"ref": "andyspence/1-mla", "kernel_id": "99406"}, {"ref": "omorillo/a-journey-through-titanic", "kernel_id": "131912"}, {"ref": "tabouzid/exploring-survival-on-the-titanic", "kernel_id": "99425"}, {"ref": "toceguera/titanic-testing-visualizations", "kernel_id": "225277"}, {"ref": "geekpyhthon/colab3", "kernel_id": "99439"}, {"ref": "brycecharette/exploring-survival-on-the-titanic", "kernel_id": "101516"}, {"ref": "jeremyd/titanic-logistic-regression-in-r", "kernel_id": "299867"}, {"ref": "artgor/titanic-0-79-score", "kernel_id": "107602"}, {"ref": "foreveroka/notebook396a15cbeb", "kernel_id": "270756"}, {"ref": "foreveroka/notebook74fe8be41a", "kernel_id": "270757"}, {"ref": "foreveroka/titanic", "kernel_id": "106127"}, {"ref": "dergut/simple-neural-network", "kernel_id": "100517"}, {"ref": "loscheris/a-journey-through-titanic", "kernel_id": "191370"}, {"ref": "viviannysantos/notebook4698a8badd", "kernel_id": "99558"}, {"ref": "viviannysantos/print-ola", "kernel_id": "99559"}, {"ref": "carlosmederos/basic-model-using-pandas-and-sklearn", "kernel_id": "104024"}, {"ref": "carlosmederos/trying-to-kaggle-titanic-from-newbie", "kernel_id": "104025"}, {"ref": "zacsketches/notebook0046964816", "kernel_id": "140965"}, {"ref": "zacsketches/simple-randomforest", "kernel_id": "147649"}, {"ref": "saratparameswar/exploring-survival-on-the-titanic", "kernel_id": "147992"}, {"ref": "skhatri2/a-journey-through-titanic", "kernel_id": "99578"}, {"ref": "hanishan/notebook0a1cf355aa", "kernel_id": "228656"}, {"ref": "hanishan/notebookd0430586b3", "kernel_id": "228678"}, {"ref": "hanishan/notebook9b5fa099d5", "kernel_id": "228687"}, {"ref": "hanishan/notebook0c20b5a660", "kernel_id": "228674"}, {"ref": "cxchao/notebook3061311554", "kernel_id": "108268"}, {"ref": "cxchao/exploratory-tutorial-titanic", "kernel_id": "110681"}, {"ref": "chatty2650/notebook4066b3b996", "kernel_id": "99694"}, {"ref": "durkeim/a-journey-through-titanic", "kernel_id": "99686"}, {"ref": "durkeim/titanic-survivals-using-rf-logistic-regression", "kernel_id": "102188"}, {"ref": "durkeim/forked-code-titanic", "kernel_id": "101941"}, {"ref": "jaehwipark/notebookb91267222d", "kernel_id": "103251"}, {"ref": "jaehwipark/try-random-forest", "kernel_id": "160019"}, {"ref": "uveren/notebook449e793e03", "kernel_id": "112598"}, {"ref": "khorchanov/titanic-script", "kernel_id": "122478"}, {"ref": "arthurtok/introduction-to-ensembling-stacking-in-python", "kernel_id": "182517"}, {"ref": "arthurtok/0-808-with-simple-stacking", "kernel_id": "162086"}, {"ref": "arthurtok/fork-of-introduction-to-ensembling-stacking-in-pyt", "kernel_id": "196046"}, {"ref": "wwang120/a-journey-through-titanic", "kernel_id": "124151"}, {"ref": "wwang120/a-journey-through-titanic-50f75f11", "kernel_id": "124177"}, {"ref": "snipss/title", "kernel_id": "99728"}, {"ref": "erithmus/erithmus-diving-in-to-the-data-pool", "kernel_id": "150721"}, {"ref": "cothurn/derpy", "kernel_id": "99700"}, {"ref": "kvmanohar/a-journey-through-titanic", "kernel_id": "99695"}, {"ref": "ysong1230/randomforest", "kernel_id": "205477"}, {"ref": "anguswilliams91/first-kernel-titanic", "kernel_id": "209176"}, {"ref": "hidetomo/titanic-0-80382-gbdt", "kernel_id": "311129"}, {"ref": "rheyniel19/an-interactive-data-science-tutorial", "kernel_id": "211914"}, {"ref": "daichiyukihira/dytitanic", "kernel_id": "100064"}, {"ref": "daichiyukihira/dyuktitanic", "kernel_id": "100348"}, {"ref": "gabrielkurtzman/notebookd6d370ef72", "kernel_id": "100000"}, {"ref": "gabrielkurtzman/a-journey-through-titanic", "kernel_id": "99987"}, {"ref": "zeenzuft/notebookb37441624c", "kernel_id": "140518"}, {"ref": "zeenzuft/draft-1", "kernel_id": "140521"}, {"ref": "zeenzuft/notebook70bad73421", "kernel_id": "140522"}, {"ref": "zhw1025/notebook97992421f8", "kernel_id": "99862"}, {"ref": "ericpan/a-journey-through-titanic", "kernel_id": "106215"}, {"ref": "jaykol/predict-titanic-passangar-survival", "kernel_id": "116135"}, {"ref": "jaykol/exploratory-tutorial-titanic-disaster-f3bfa4db", "kernel_id": "116600"}, {"ref": "jaykol/notebookb9ce18a8fb", "kernel_id": "120625"}, {"ref": "boweng/titanic-baseline-models-analyticsdojo", "kernel_id": "99905"}, {"ref": "winneli/notebooka3558945f2", "kernel_id": "99950"}, {"ref": "streetsweeper12/titan-nic", "kernel_id": "99982"}, {"ref": "jameslong/notebookf35fcc9ab5", "kernel_id": "214914"}, {"ref": "lemoinef/titanic-data-exploration-and-visualization", "kernel_id": "118416"}, {"ref": "lemoinef/a-journey-through-titanic", "kernel_id": "123360"}, {"ref": "lemoinef/roy-s-titanic-notebook", "kernel_id": "123371"}, {"ref": "bigdreams/notebook67018b30ca", "kernel_id": "99954"}, {"ref": "omvikas/notebookfea72d4e58", "kernel_id": "114576"}, {"ref": "kiwiswiss/first-titanic-solution", "kernel_id": "295537"}, {"ref": "danielmayhew/a-journey-through-titanic", "kernel_id": "100473"}, {"ref": "jamensson/first-script-titanic-1", "kernel_id": "106338"}, {"ref": "tonychanyt/cs306-titanic", "kernel_id": "261929"}, {"ref": "keshavkumar007/notebook5f0413e350", "kernel_id": "187801"}, {"ref": "ianravisingh/notebook879e1beef5", "kernel_id": "232713"}, {"ref": "abhayjindal/a-journey-through-titanic", "kernel_id": "100081"}, {"ref": "abhayjindal/exploring-survival-on-the-titanic", "kernel_id": "100072"}, {"ref": "jam1903/notebook4723389927", "kernel_id": "100067"}, {"ref": "adbrian/study-of-tree-and-forest-algorithms", "kernel_id": "105842"}, {"ref": "makboc/fork-of-titanic", "kernel_id": "196039"}, {"ref": "makboc/titanic", "kernel_id": "100150"}, {"ref": "alimorty/my-first-code", "kernel_id": "196147"}, {"ref": "alimorty/third-submit", "kernel_id": "196195"}, {"ref": "alimorty/4-submit", "kernel_id": "196234"}, {"ref": "alimorty/my-second-submit", "kernel_id": "196187"}, {"ref": "alimorty/5-submision", "kernel_id": "196264"}, {"ref": "alimorty/6-th-sub", "kernel_id": "196289"}, {"ref": "alimorty/7-th-sub", "kernel_id": "196294"}, {"ref": "alimorty/8th-sub", "kernel_id": "196298"}, {"ref": "seleznova/a-journey-through-titanic", "kernel_id": "102961"}, {"ref": "himanshumittal/a-journey-through-titanic", "kernel_id": "102620"}, {"ref": "hani13/a-journey-through-titanic", "kernel_id": "100732"}, {"ref": "gyronee/notebookb04bf8257d", "kernel_id": "214624"}, {"ref": "gyronee/notebookb85fc3fa05", "kernel_id": "215629"}, {"ref": "jamding/notebooke922a724d7", "kernel_id": "100139"}, {"ref": "brucezz/notebook4d4d758a4b", "kernel_id": "115640"}, {"ref": "brucezz/notebook627be40026", "kernel_id": "129327"}, {"ref": "phbonny/notebook6a69860c69", "kernel_id": "159393"}, {"ref": "jokandre/predicting-survival-1-using-titanic-dataset", "kernel_id": "185808"}, {"ref": "mymlml/notebook0e50c4e038", "kernel_id": "242756"}, {"ref": "hemal1/notebooke75d19ce5c", "kernel_id": "221165"}, {"ref": "rinckd/notebookd02ce7d8fb", "kernel_id": "100212"}, {"ref": "wenjingsun/notebook", "kernel_id": "174402"}, {"ref": "johnpaulett/notebook6395f876f0", "kernel_id": "100257"}, {"ref": "bhagwatvyas/a-journey-through-titanic", "kernel_id": "182984"}, {"ref": "shijiegao/a-journey-through-titanic", "kernel_id": "117611"}, {"ref": "herstel/basic-decision-tree", "kernel_id": "179595"}, {"ref": "flazzing/first", "kernel_id": "100292"}, {"ref": "pcliu0822/firsttest", "kernel_id": "280122"}, {"ref": "ankit2grover/notebook10bdecd55e", "kernel_id": "107698"}, {"ref": "ankit2grover/exploratory-tutorial-titanic", "kernel_id": "104172"}, {"ref": "ankit2grover/a-journey-through-titanic", "kernel_id": "104639"}, {"ref": "duxiaoyang/a-journey-through-titanic", "kernel_id": "100353"}, {"ref": "jongan/notebook51ea8a31b6", "kernel_id": "100340"}, {"ref": "fabert/a-journey-through-titanic", "kernel_id": "100368"}, {"ref": "codmax/notebookb24df94c4f", "kernel_id": "101351"}, {"ref": "nikitaganin/testing", "kernel_id": "157317"}, {"ref": "cuiyishen/notebooke865e5f789", "kernel_id": "103387"}, {"ref": "shrutiag95/a-journey-through-titanic", "kernel_id": "101137"}, {"ref": "sweellan/exploratory-tutorial-titanic", "kernel_id": "122980"}, {"ref": "xinyilin/a-journey-through-titanic", "kernel_id": "100339"}, {"ref": "maluna/titanic-neural-networks", "kernel_id": "120610"}, {"ref": "maluna/notebook3d67fd3595", "kernel_id": "109960"}, {"ref": "maluna/playing-with-titanic-data-set", "kernel_id": "110224"}, {"ref": "maluna/titanium-test-1", "kernel_id": "107943"}, {"ref": "imuyang/notebook6ef1f5dd11", "kernel_id": "176195"}, {"ref": "imuyang/a-journey-through-titanic", "kernel_id": "176197"}, {"ref": "jacola/a-journey-through-titanic", "kernel_id": "100580"}, {"ref": "wangseven/a-journey-through-titanic", "kernel_id": "131027"}, {"ref": "qccccc/a-journey-through-titanic", "kernel_id": "105853"}, {"ref": "schliteur/notebooke506692b2b", "kernel_id": "192827"}, {"ref": "schliteur/notebook3ed8458f87", "kernel_id": "192824"}, {"ref": "dokuritsu17/data-science", "kernel_id": "100962"}, {"ref": "mrugami/cs100-project", "kernel_id": "102092"}, {"ref": "mrugami/notebook6ccb84b634", "kernel_id": "102087"}, {"ref": "tsmith41/notebook739075d14b", "kernel_id": "100967"}, {"ref": "cnemec1/why5letters", "kernel_id": "100965"}, {"ref": "cnemec1/class", "kernel_id": "100791"}, {"ref": "cnemec1/notebook387b109bf5", "kernel_id": "102222"}, {"ref": "cnemec1/notebook3073748f61", "kernel_id": "102708"}, {"ref": "cnemec1/notebook27787d84b7", "kernel_id": "102937"}, {"ref": "cnemec1/notebook4aa6e162c4", "kernel_id": "102989"}, {"ref": "tberg3/notebook7d87732943", "kernel_id": "102086"}, {"ref": "tberg3/notebook739075d14b", "kernel_id": "100949"}, {"ref": "tberg3/notebook9a31bebfc0", "kernel_id": "100429"}, {"ref": "amanandh/asdfasdfasdf", "kernel_id": "100948"}, {"ref": "amanandh/notebookb00dcf7661", "kernel_id": "102939"}, {"ref": "cczaja/notebook8402661752", "kernel_id": "102740"}, {"ref": "cczaja/empty", "kernel_id": "100941"}, {"ref": "cczaja/notebook739075d14b", "kernel_id": "100957"}, {"ref": "jlor460993/notebook739075d14b", "kernel_id": "100971"}, {"ref": "jlor460993/notebookdcb17ba51c", "kernel_id": "100984"}, {"ref": "jlor460993/notebook739075d14b-2b2826c9", "kernel_id": "102216"}, {"ref": "jlor460993/notebook9a2d9c2811", "kernel_id": "100430"}, {"ref": "jlor460993/titanic-prediction-thing", "kernel_id": "100420"}, {"ref": "kjrcs97/titanicsub", "kernel_id": "101822"}, {"ref": "kjrcs97/notebook739075d14b", "kernel_id": "100959"}, {"ref": "akrishna1/notebook739075d14b", "kernel_id": "100960"}, {"ref": "akrishna1/notebookdc3df915f4", "kernel_id": "101833"}, {"ref": "akrishna1/notebook7f965f9357", "kernel_id": "102088"}, {"ref": "goob47/notebook739075d14b", "kernel_id": "100953"}, {"ref": "esyed97/notebook365637ef0c", "kernel_id": "104045"}, {"ref": "esyed97/notebook87f695b42a", "kernel_id": "100977"}, {"ref": "esyed97/notebook877eddcf31", "kernel_id": "100983"}, {"ref": "pbotti/betabeta", "kernel_id": "100952"}, {"ref": "pbotti/titanical2", "kernel_id": "100966"}, {"ref": "pbotti/titanical1", "kernel_id": "100748"}, {"ref": "pbotti/titanical", "kernel_id": "100423"}, {"ref": "nihanabaci/notebook0155f4299d", "kernel_id": "100979"}, {"ref": "jaxrtech/notebook739075d14b", "kernel_id": "100950"}, {"ref": "jaxrtech/titanic", "kernel_id": "102116"}, {"ref": "jaxrtech/notebookfe984be483", "kernel_id": "100427"}, {"ref": "hreeve/notebook739075d14b", "kernel_id": "102226"}, {"ref": "nickosaveas/saveas-cs-100", "kernel_id": "101996"}, {"ref": "nickosaveas/saveas-data-science-demo", "kernel_id": "100956"}, {"ref": "asimon5/notebook739075d14b", "kernel_id": "100969"}, {"ref": "asimon5/the-notebook", "kernel_id": "102070"}, {"ref": "asimon5/titanic-problem", "kernel_id": "102071"}, {"ref": "asimon5/notebook739075d14b-0dcc4c00", "kernel_id": "102080"}, {"ref": "vista20sun/notebook739075d14b", "kernel_id": "100980"}, {"ref": "bjbloemker/notebook739075d14b", "kernel_id": "100964"}, {"ref": "bjbloemker/tittanic-prediction", "kernel_id": "102061"}, {"ref": "syedabbas/notebooke803c8f5e3", "kernel_id": "102994"}, {"ref": "syedabbas/titanic", "kernel_id": "102991"}, {"ref": "petermei/notebook739075d14b-fec59c0f", "kernel_id": "102245"}, {"ref": "petermei/notebookbbc25df066", "kernel_id": "102232"}, {"ref": "petermei/notebook739075d14b", "kernel_id": "100968"}, {"ref": "flexadecimal/titanic-analysis", "kernel_id": "102241"}, {"ref": "bcruzcastillo/notebookfe552c534b", "kernel_id": "100986"}, {"ref": "bcruzcastillo/notebook739075d14b", "kernel_id": "100961"}, {"ref": "pkraulos/notebook739075d14b", "kernel_id": "100970"}, {"ref": "pkraulos/notebook5f363c1c00", "kernel_id": "102231"}, {"ref": "milton4671/notebookfd0c55c20d", "kernel_id": "100976"}, {"ref": "l0cknation/notebook739075d14b", "kernel_id": "100972"}, {"ref": "jchionglo/data-science-demo", "kernel_id": "100954"}, {"ref": "jchionglo/hilmao", "kernel_id": "100415"}, {"ref": "nealshah123/the-simple-intro", "kernel_id": "100955"}, {"ref": "perchouli/follow-along-with-diy-tutorials", "kernel_id": "102644"}, {"ref": "stanislavushakov/notebookbd849338c6", "kernel_id": "107629"}, {"ref": "sergeyorex/notebook9289861d4a", "kernel_id": "100511"}, {"ref": "buitmyhanh/notebook8eabece787", "kernel_id": "265939"}, {"ref": "lollipop/a-journey-through-titanic", "kernel_id": "100558"}, {"ref": "lollipop/test1", "kernel_id": "100556"}, {"ref": "evanwu/an-interactive-data-science-tutorial-fee1fe", "kernel_id": "264554"}, {"ref": "wabbiy/my-first-attempt-with-python", "kernel_id": "739086"}, {"ref": "sdaveds/notebooka308f9483e", "kernel_id": "211175"}, {"ref": "sdaveds/an-interactive-data-science-tutorial-faec62", "kernel_id": "211179"}, {"ref": "sdaveds/exploring-survival-on-the-titanic", "kernel_id": "112884"}, {"ref": "aerophile/notebook073bf4e885", "kernel_id": "217500"}, {"ref": "aerophile/notebookceb1f3272b", "kernel_id": "231768"}, {"ref": "skyerz/titanic", "kernel_id": "100818"}, {"ref": "sunagawa1234/notebook26c8d18e1a", "kernel_id": "106062"}, {"ref": "corwinliu9669/a-journey-through-titanic", "kernel_id": "116037"}, {"ref": "nambkpfiev/an-interactive-data-science-tutorial", "kernel_id": "255780"}, {"ref": "nirajvermafcb/predicting-survival-and-analysing-various-factors", "kernel_id": "172897"}, {"ref": "brandonlmorris/a-journey-through-titanic-8474e6b2", "kernel_id": "121296"}, {"ref": "brandonlmorris/a-journey-through-titanic", "kernel_id": "117197"}, {"ref": "zzzzhang1990/scikit-learn-ml-from-start-to-finish", "kernel_id": "214917"}, {"ref": "serhanmete/notebook4ae71297ec", "kernel_id": "100667"}, {"ref": "tripathis/learning-pandas", "kernel_id": "159985"}, {"ref": "tripathis/notebooke458dcdc1e", "kernel_id": "159999"}, {"ref": "sushantbharti/survived", "kernel_id": "118806"}, {"ref": "pkrion/1st-kaggle-notebook", "kernel_id": "104314"}, {"ref": "pkrion/notebook69761dca6d", "kernel_id": "104795"}, {"ref": "giokob/first-attempt", "kernel_id": "231416"}, {"ref": "giokob/notebook410bd12287", "kernel_id": "231412"}, {"ref": "ansmirnov/notebook03c24c5886", "kernel_id": "124761"}, {"ref": "ansmirnov/titanic-knn", "kernel_id": "112461"}, {"ref": "ansmirnov/titanic-comparison-of-classifiers", "kernel_id": "112491"}, {"ref": "ansmirnov/titanic-test", "kernel_id": "112017"}, {"ref": "anh1231964/a-journey-through-titanic", "kernel_id": "100700"}, {"ref": "zacharygilliom/a-journey-through-titanic", "kernel_id": "102281"}, {"ref": "zacharygilliom/notebookcc004324bb", "kernel_id": "110401"}, {"ref": "zacharygilliom/notebooke84ea471df", "kernel_id": "111249"}, {"ref": "gborunov/test1", "kernel_id": "103028"}, {"ref": "gborunov/test2", "kernel_id": "103035"}, {"ref": "wechill/notebookafb1b8ad67", "kernel_id": "133112"}, {"ref": "wechill/notebook5f9e22a115", "kernel_id": "133121"}, {"ref": "sadao53/notebooka5e5648734", "kernel_id": "169856"}, {"ref": "sadao53/notebook14d734d61a", "kernel_id": "200320"}, {"ref": "sadao53/first", "kernel_id": "191788"}, {"ref": "panhuitong/titanic-learning-notebook", "kernel_id": "211653"}, {"ref": "chestnut3108/notebook9137557a49", "kernel_id": "192145"}, {"ref": "chestnut3108/notebook0965775305", "kernel_id": "169320"}, {"ref": "chestnut3108/a-journey-through-titanic", "kernel_id": "101703"}, {"ref": "danvargg/titanic-passenger-survival", "kernel_id": "273492"}, {"ref": "cbreen/a-journey-through-titanic", "kernel_id": "101048"}, {"ref": "prrvalli/notebook6e436401e9", "kernel_id": "231651"}, {"ref": "thestephenstanton/titanic-who-will-survive", "kernel_id": "349844"}, {"ref": "mayanksaini/titanictest", "kernel_id": "100805"}, {"ref": "mayanksaini/corrtest", "kernel_id": "100827"}, {"ref": "connera/notebook9b869bedcb", "kernel_id": "224413"}, {"ref": "connera/titanic-forecast", "kernel_id": "224415"}, {"ref": "abe6557/notebookb811de561c", "kernel_id": "205316"}, {"ref": "arccosine/exploring-survival-on-the-titanic", "kernel_id": "101305"}, {"ref": "zhengzhishui/an-interactive-data-science-tutorial", "kernel_id": "183939"}, {"ref": "zhengzhishui/titanic", "kernel_id": "225561"}, {"ref": "zhengzhishui/notebook523a475d05", "kernel_id": "225552"}, {"ref": "kenmoe88/yannick88", "kernel_id": "122272"}, {"ref": "mynoan/notebook5fa8bc5918", "kernel_id": "175744"}, {"ref": "pbhangadia/notebookd8d7844da7", "kernel_id": "103732"}, {"ref": "humblecoder/titanic-disaster", "kernel_id": "180271"}, {"ref": "momo062/a-journey-through-titanic", "kernel_id": "100991"}, {"ref": "momo062/basic-model-using-pandas-and-sklearn", "kernel_id": "102193"}, {"ref": "fengj12/a-journey-through-titanic", "kernel_id": "101572"}, {"ref": "dpkalapatt/a-journey-through-titanic", "kernel_id": "100920"}, {"ref": "ashu13/predicting-survival-on-titanic", "kernel_id": "172728"}, {"ref": "ashu13/an-interactive-data-science-tutorial", "kernel_id": "172562"}, {"ref": "hzxhzx/notebook6e5489d28f", "kernel_id": "208926"}, {"ref": "coldhyll/notebook6b26f0d8ef", "kernel_id": "141413"}, {"ref": "gou502/notebook33488cf9a5", "kernel_id": "102933"}, {"ref": "gou502/titanic-practice", "kernel_id": "104641"}, {"ref": "vishoo7/a-journey-through-titanic", "kernel_id": "106666"}, {"ref": "vishoo7/a-journey-through-titanic-be72de37", "kernel_id": "106982"}, {"ref": "vishoo7/a-journey-through-titanic-04c49479", "kernel_id": "107245"}, {"ref": "fy66666/yyyfu", "kernel_id": "100995"}, {"ref": "heathens/notebook32e4e88cd9", "kernel_id": "114143"}, {"ref": "thanawat/notebooke44ecd6c17", "kernel_id": "209066"}, {"ref": "allenfrostline/notebook472c21ce6d", "kernel_id": "116727"}, {"ref": "allenfrostline/exploratory-tutorial-titanic", "kernel_id": "113609"}, {"ref": "allenfrostline/a-journey-through-titanic", "kernel_id": "105346"}, {"ref": "weiern/notebook839770c803", "kernel_id": "193202"}, {"ref": "saurabhdha/a-journey-through-titanic", "kernel_id": "101177"}, {"ref": "lucariel/a-journey-through-titanic", "kernel_id": "150927"}, {"ref": "langpartjx/exploratory-tutorial-titanic", "kernel_id": "104536"}, {"ref": "shreyverma93/exploring-survival-on-the-titanic", "kernel_id": "147688"}, {"ref": "shaimaam/a-journey-through-titanic-96fd9c18", "kernel_id": "115569"}, {"ref": "shaimaam/a-journey-through-titanic", "kernel_id": "101087"}, {"ref": "shaimaam/notebook4bd3e5d7d1", "kernel_id": "101302"}, {"ref": "threerightangles/silly", "kernel_id": "101181"}, {"ref": "justinleeme/a-journey-through-titanic", "kernel_id": "101121"}, {"ref": "justinleeme/a-journey-through-titanic-6f31d1dc", "kernel_id": "107770"}, {"ref": "justinleeme/a-journey-through-titanic-b7e23f7e", "kernel_id": "107810"}, {"ref": "praveenveera/submission2", "kernel_id": "106010"}, {"ref": "praveenveera/submission1", "kernel_id": "106007"}, {"ref": "vishal445/basic-model", "kernel_id": "101171"}, {"ref": "bcrad22/notebook7245e2cb48", "kernel_id": "144018"}, {"ref": "bukuai/a-journey-through-titanic", "kernel_id": "117152"}, {"ref": "bukuai/a-journey-through-titanic-b16a3582", "kernel_id": "118195"}, {"ref": "bukuai/a-journey-through-titanic-e7519aaa", "kernel_id": "119588"}, {"ref": "raoxxx/notebook5fd7a7bdcb", "kernel_id": "101322"}, {"ref": "shantanunagpal/notebook5582362383", "kernel_id": "174979"}, {"ref": "shantanunagpal/notebookc2e57ee72b", "kernel_id": "174981"}, {"ref": "yusufadeshina/introduction-to-ensembling-stacking-in-python", "kernel_id": "191225"}, {"ref": "ashwinath/a-journey-through-titanic", "kernel_id": "101258"}, {"ref": "radhasandy/titanic-best-working-classifier", "kernel_id": "144629"}, {"ref": "thefool32/titanic-py", "kernel_id": "101550"}, {"ref": "ljfernando/titanicsurvival", "kernel_id": "162810"}, {"ref": "vijay96238/script1", "kernel_id": "106531"}, {"ref": "houdas/basic-model-using-pandas-and-sklearn-9191dc55", "kernel_id": "102530"}, {"ref": "houdas/basic-model-using-pandas-and-sklearn", "kernel_id": "101299"}, {"ref": "houdas/notebook421613ff72", "kernel_id": "101376"}, {"ref": "snoopjedi/notebookc87cdec604", "kernel_id": "163858"}, {"ref": "snoopjedi/a-journey-through-titanic", "kernel_id": "163859"}, {"ref": "xiaominsong/a-journey-through-titanic-practise", "kernel_id": "101361"}, {"ref": "drstrangelover/notebook162abf33b6", "kernel_id": "106558"}, {"ref": "mbcheung/a-journey-through-titanic", "kernel_id": "101279"}, {"ref": "simoneladisa/jads-sladisa", "kernel_id": "368198"}, {"ref": "shubhamagarwal269/titanic-best-working-classifier", "kernel_id": "500245"}, {"ref": "arnav1712/first-kaggle", "kernel_id": "280933"}, {"ref": "tsakapo/a-journey-through-titanic", "kernel_id": "171414"}, {"ref": "gobsir/test-titanic", "kernel_id": "217988"}, {"ref": "tetyama/trial-rf-benchmark-with-age-median", "kernel_id": "106075"}, {"ref": "tetyama/trial-titanic", "kernel_id": "104183"}, {"ref": "tetyama/a-journey-through-titanic-f5eff4cc", "kernel_id": "131065"}, {"ref": "yanduarte/titanic-1", "kernel_id": "215873"}, {"ref": "drwhohu/decision-tree-visualization-submission", "kernel_id": "175348"}, {"ref": "kharita/titanic", "kernel_id": "182366"}, {"ref": "kharita/first", "kernel_id": "182766"}, {"ref": "nckrdr/a-journey-through-titanic", "kernel_id": "101766"}, {"ref": "vinaydesai/titanic-disater-practice", "kernel_id": "235038"}, {"ref": "naxalov/first-kaggle-notebook-trial-titanic", "kernel_id": "102435"}, {"ref": "aybukehschdr/notebookdc3f09868e", "kernel_id": "127604"}, {"ref": "aybukehschdr/a-journey-through-titanic", "kernel_id": "128415"}, {"ref": "aybukehschdr/fork-of-fork-of-notebookdc3f09868e-26619e73", "kernel_id": "144697"}, {"ref": "aybukehschdr/fork-of-notebookdc3f09868e", "kernel_id": "144689"}, {"ref": "aybukehschdr/fork-of-notebookdc3f09868e-26619e73", "kernel_id": "144690"}, {"ref": "aybukehschdr/final-deneme", "kernel_id": "155130"}, {"ref": "aybukehschdr/notebook3774ff8b3e", "kernel_id": "152441"}, {"ref": "aybukehschdr/deneme", "kernel_id": "152934"}, {"ref": "aybukehschdr/notebook112368cda8", "kernel_id": "151640"}, {"ref": "gabrielhudak/exploratory-tutorial-titanic-copy-playing-only", "kernel_id": "103646"}, {"ref": "gabrielhudak/notebook256ec880df", "kernel_id": "101486"}, {"ref": "yuki11nsmr/notebook575ff54b8f", "kernel_id": "127851"}, {"ref": "wangqianlong120/a-journey-through-titanic", "kernel_id": "101631"}, {"ref": "zhechenwei/titanic-notebook", "kernel_id": "208102"}, {"ref": "achiyaj/titanic-my-try", "kernel_id": "324606"}, {"ref": "msaadq/notebook98243e3a83", "kernel_id": "123734"}, {"ref": "msaadq/notebookdab9e68b22", "kernel_id": "123732"}, {"ref": "durgapd/titanic-my-first", "kernel_id": "169371"}, {"ref": "benoitkoen/notebook94e9a2e59c", "kernel_id": "148283"}, {"ref": "heidim/notebookf357796d35", "kernel_id": "101441"}, {"ref": "kishoreo/notebooka021afc7cb", "kernel_id": "248591"}, {"ref": "kishoreo/myfirst", "kernel_id": "248592"}, {"ref": "kishoreo/notebook43e08ebec9", "kernel_id": "248604"}, {"ref": "pujapatel/notebook9ed224b7fd", "kernel_id": "101476"}, {"ref": "mza97y/a-journey-through-titanic", "kernel_id": "101466"}, {"ref": "mza97y/basic-model-using-pandas-and-sklearn", "kernel_id": "102166"}, {"ref": "musella/titanic-sandbox", "kernel_id": "101470"}, {"ref": "axellkir/notebook819d868e0e", "kernel_id": "203759"}, {"ref": "adgereal/a-journey-through-titanic", "kernel_id": "102782"}, {"ref": "danr87946/titanic-practice", "kernel_id": "147626"}, {"ref": "paulpaul111/a-journey-through-titanic", "kernel_id": "121230"}, {"ref": "arfinul/exploring-survival-on-the-titanicc", "kernel_id": "161803"}, {"ref": "crazyeric/whatsthis", "kernel_id": "101887"}, {"ref": "crazyeric/a-journey-through-titanic", "kernel_id": "141687"}, {"ref": "crazyeric/a-journey-through-titanic-6dccf3", "kernel_id": "218476"}, {"ref": "oleschds/a-journey-through-titanic", "kernel_id": "101582"}, {"ref": "rgoodman/titanic-approach-from-scratch", "kernel_id": "167115"}, {"ref": "rdefourny/20161003", "kernel_id": "101603"}, {"ref": "rdefourny/20161003-v1", "kernel_id": "101630"}, {"ref": "hmiller/notebook44ab9460dc", "kernel_id": "104294"}, {"ref": "hmiller/notebook2c9259b7e3", "kernel_id": "102506"}, {"ref": "hmiller/notebookc612789d25", "kernel_id": "103856"}, {"ref": "hmiller/kaggle", "kernel_id": "101634"}, {"ref": "hmiller/notebookd7187ba2bd", "kernel_id": "101665"}, {"ref": "hmiller/first-kaggle-notebook-trial-titanic", "kernel_id": "101661"}, {"ref": "hmiller/new-script", "kernel_id": "101649"}, {"ref": "hmiller/notebook7aa3e6dd6b", "kernel_id": "101650"}, {"ref": "hmiller/notebook7142464b07", "kernel_id": "101867"}, {"ref": "hmiller/notebookd9fb6054a8", "kernel_id": "102168"}, {"ref": "hmiller/howard-s-code", "kernel_id": "102181"}, {"ref": "sheneeb/a-journey-through-titanic-bf2f3a90", "kernel_id": "117205"}, {"ref": "ijundi/exploring-survival-on-the-titanic", "kernel_id": "118418"}, {"ref": "francisnewson/titanic-random-forest", "kernel_id": "266681"}, {"ref": "zenozzz/titanic", "kernel_id": "102163"}, {"ref": "thomastan310/notebookfefa6f2ff1", "kernel_id": "102161"}, {"ref": "thomastan310/notebook8e373ce1e9", "kernel_id": "102239"}, {"ref": "thomastan310/notebook4b9d4cfc8a", "kernel_id": "101677"}, {"ref": "thomastan310/notebookee4f34b8c4", "kernel_id": "101882"}, {"ref": "thomastan310/notebookc4bd94f55b", "kernel_id": "101913"}, {"ref": "thomastan310/notebookcf7475c5e6", "kernel_id": "107529"}, {"ref": "thomastan310/notebook115e4287ae", "kernel_id": "102507"}, {"ref": "thomastan310/notebook6165e5c4c0", "kernel_id": "102652"}, {"ref": "thomastan310/notebook40c55a28b0", "kernel_id": "104921"}, {"ref": "thomastan310/notebook11a2e7147c", "kernel_id": "104933"}, {"ref": "thomastan310/notebook203c71b464", "kernel_id": "109942"}, {"ref": "ngl1991/test2", "kernel_id": "108269"}, {"ref": "ngl1991/notebookc97913a6dd", "kernel_id": "108270"}, {"ref": "ddashenkov/notebook86db793122", "kernel_id": "186994"}, {"ref": "ddashenkov/playground", "kernel_id": "186996"}, {"ref": "nferon/a-journey-through-titanic", "kernel_id": "103021"}, {"ref": "vishwajeet993511/titanic-disaster-notebook-code-and-implementation", "kernel_id": "279508"}, {"ref": "vishwajeet993511/titanic-survival-prediction", "kernel_id": "274884"}, {"ref": "jiewang22/notebook83b0bd5a22", "kernel_id": "416098"}, {"ref": "alazark/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "172146"}, {"ref": "alazark/a-journey-through-titanic", "kernel_id": "102251"}, {"ref": "prince2502/first-random-forest", "kernel_id": "162551"}, {"ref": "tlimousin/an-interactive-data-science-tutorial", "kernel_id": "183780"}, {"ref": "soumyadtps/demo-titanic1", "kernel_id": "248447"}, {"ref": "boliang/survivetitanic", "kernel_id": "101765"}, {"ref": "boliang/survivetitanicpy", "kernel_id": "101767"}, {"ref": "vsinha2/a-journey-through-titanic", "kernel_id": "103065"}, {"ref": "peike4869/exploratory-tutorial-titanic", "kernel_id": "110302"}, {"ref": "nonlining/notebook2329240e30", "kernel_id": "206099"}, {"ref": "nonlining/notebookc43c20261c", "kernel_id": "206101"}, {"ref": "laufavr/titanic-1", "kernel_id": "101906"}, {"ref": "laufavr/notebook4650f598f3", "kernel_id": "102192"}, {"ref": "melisbiyikli/titanic-data-sets", "kernel_id": "143791"}, {"ref": "melisbiyikli/notebook4ef03612b6", "kernel_id": "143783"}, {"ref": "melisbiyikli/notebook1d86c8dde9", "kernel_id": "143786"}, {"ref": "immanuellalim/notebookd7de498bc6", "kernel_id": "124103"}, {"ref": "nitin16/random-forest-benchmark-n", "kernel_id": "107160"}, {"ref": "justin84/notebook2b7119ff02", "kernel_id": "102723"}, {"ref": "justin84/a-journey-through-titanic", "kernel_id": "101926"}, {"ref": "lasarte/study-of-tree-and-forest-algorithms", "kernel_id": "101933"}, {"ref": "lionalio/basic-model-using-pandas-and-sklearn", "kernel_id": "103720"}, {"ref": "lionalio/titanicprediction", "kernel_id": "103721"}, {"ref": "iamrpandey/titanic", "kernel_id": "138409"}, {"ref": "navaneeth51089/my-first-script", "kernel_id": "112812"}, {"ref": "zetinzeton/titanic-guided-by-a-confusion-matrix", "kernel_id": "106683"}, {"ref": "jessicanash/a-journey-through-titanic", "kernel_id": "181879"}, {"ref": "phoenix2013/a-journey-through-titanic", "kernel_id": "102013"}, {"ref": "sarahm/notebook7a0a98909b", "kernel_id": "248377"}, {"ref": "sarahm/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "248345"}, {"ref": "jastie/stuff", "kernel_id": "102037"}, {"ref": "litgupta/survival-prediction-using-decisiontreeclassifier", "kernel_id": "508879"}, {"ref": "tiffanyli/notebooka786739590", "kernel_id": "110841"}, {"ref": "tiffanyli/notebookd0aa4c56dc", "kernel_id": "110575"}, {"ref": "nomanswoman/notebookbaa1d49882", "kernel_id": "220391"}, {"ref": "stavinsky/simple-keras-model", "kernel_id": "165631"}, {"ref": "sethp1/a-journey-through-titanic", "kernel_id": "102842"}, {"ref": "chingchen/notebookcce2354d05", "kernel_id": "106375"}, {"ref": "chingchen/notebook0c6862ac75", "kernel_id": "274205"}, {"ref": "mikeypants/a-journey-through-titanic", "kernel_id": "125921"}, {"ref": "hsinyi/titanic", "kernel_id": "102055"}, {"ref": "leizhangtech/firsttest", "kernel_id": "102551"}, {"ref": "jjarquin/notebookf912f8459d", "kernel_id": "102079"}, {"ref": "jjarquin/a-journey-through-titanic", "kernel_id": "102069"}, {"ref": "jjarquin/notebook-under-water", "kernel_id": "102261"}, {"ref": "jjarquin/a-journey-through-titanic-jjarquin", "kernel_id": "102269"}, {"ref": "hyuckin/notebooke9d5e7563b", "kernel_id": "103009"}, {"ref": "hyuckin/hyuckin-s-titanic-kernel", "kernel_id": "103121"}, {"ref": "hyuckin/notebook44301c40f8", "kernel_id": "102073"}, {"ref": "priyankajsr/exploratory-tutorial-titanic", "kernel_id": "108166"}, {"ref": "priyankajsr/first", "kernel_id": "110920"}, {"ref": "priyankajsr/notebook4462c0090e", "kernel_id": "110923"}, {"ref": "herbiehuff/exploratory-tutorial-titanic", "kernel_id": "105170"}, {"ref": "herbiehuff/a-journey-through-titanic", "kernel_id": "102094"}, {"ref": "quanganhct/notebookcb57ccf23f", "kernel_id": "142740"}, {"ref": "ahmethamzaemra/scikit-learn-ml", "kernel_id": "275802"}, {"ref": "ahmethamzaemra/titanic-data-analysis", "kernel_id": "112586"}, {"ref": "kevinbabana/notebook811f159ccf", "kernel_id": "243831"}, {"ref": "prostagma/r-start", "kernel_id": "102654"}, {"ref": "prostagma/r-test", "kernel_id": "102650"}, {"ref": "prostagma/a-journey-through-titanic", "kernel_id": "102359"}, {"ref": "jinkos/notebooked9a2bbd85", "kernel_id": "102150"}, {"ref": "jajanes/a-journey-through-titanic", "kernel_id": "102177"}, {"ref": "bhavyasharma/notebooka7a9786615", "kernel_id": "226687"}, {"ref": "nehgoyal/notebookd8e06d1338", "kernel_id": "141942"}, {"ref": "joekidd/a-journey-through-titanic", "kernel_id": "102185"}, {"ref": "seanwalker/firsr-step", "kernel_id": "102206"}, {"ref": "seanwalker/read-csv-file", "kernel_id": "102212"}, {"ref": "lianglianghe/notebooka5e4048cbc", "kernel_id": "102211"}, {"ref": "scruffy/a-journey-through-titanic", "kernel_id": "120321"}, {"ref": "franciscomatos/notebookdaf1ef7d8c", "kernel_id": "114510"}, {"ref": "korirsammy/survival-exploration-on-the-titanic", "kernel_id": "179731"}, {"ref": "gamzekaygisiz/notebook8c62bbbb4a", "kernel_id": "146081"}, {"ref": "aahhoo/test-20170419", "kernel_id": "238365"}, {"ref": "odrobot/notebook66529c1c7b", "kernel_id": "151732"}, {"ref": "ash316/eda-to-prediction-dietanic", "kernel_id": "375087"}, {"ref": "pengrunze/titanic-machine-learning-from-disaster", "kernel_id": "107502"}, {"ref": "esisram/5-methods-supervised-learning", "kernel_id": "526116"}, {"ref": "jntme0/testt", "kernel_id": "102594"}, {"ref": "miao23/notebook3dd92011b1", "kernel_id": "105402"}, {"ref": "miao23/hyu789", "kernel_id": "105404"}, {"ref": "mohitr/titanic-tragedy-exploratory-data-analysis", "kernel_id": "724483"}, {"ref": "debudey/notebook-titanic-dataset", "kernel_id": "195184"}, {"ref": "debudey/logistic-regression-model-titanic-dataset", "kernel_id": "195188"}, {"ref": "debudey/titanic-py", "kernel_id": "143665"}, {"ref": "clementlefevre/titanic", "kernel_id": "135031"}, {"ref": "clementlefevre/a-journey-through-titanic", "kernel_id": "102343"}, {"ref": "clementlefevre/notebook9a58705441", "kernel_id": "149333"}, {"ref": "ehsanimani/exploring-survival-on-the-titanic", "kernel_id": "102356"}, {"ref": "kondor53/titanic-survival", "kernel_id": "102351"}, {"ref": "kondor53/a-journey-through-titanic-1fac41cf", "kernel_id": "102486"}, {"ref": "fouadchamoun/titanic-py", "kernel_id": "104304"}, {"ref": "rahulsharma56/notebook49aa4cf01d", "kernel_id": "247129"}, {"ref": "jankjong/titanic-game", "kernel_id": "102440"}, {"ref": "jankjong/find-surval", "kernel_id": "102508"}, {"ref": "andychau/a-journey-through-titanic", "kernel_id": "106350"}, {"ref": "wjgan1/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "157867"}, {"ref": "mrunmayeeshukla/titanic-random-forest-82-78", "kernel_id": "190381"}, {"ref": "anhntmpi/notebook9b69f38732", "kernel_id": "102518"}, {"ref": "traceyvanp/notebook95611bcee0", "kernel_id": "107057"}, {"ref": "abhikumar07/a-journey-through-titanic", "kernel_id": "102483"}, {"ref": "abhikumar07/a-journey-through-titanic-947c2431", "kernel_id": "102534"}, {"ref": "nolsigan/a-journey-through-titanic", "kernel_id": "102478"}, {"ref": "nolsigan/notebook18d51abc1b", "kernel_id": "102603"}, {"ref": "rickyleman/notebookb671a78866", "kernel_id": "230473"}, {"ref": "pedrongwenael/training-in-python", "kernel_id": "104239"}, {"ref": "jagadeeshsv/notebookd111a487ce", "kernel_id": "106919"}, {"ref": "lizhuping/basic-model-using-pandas-and-sklearn", "kernel_id": "102571"}, {"ref": "ekchim/notebook78bf217270", "kernel_id": "120976"}, {"ref": "ihabyoussef/a-journey-through-titanic", "kernel_id": "170670"}, {"ref": "rogerup/notebookbf860e6a7d", "kernel_id": "203598"}, {"ref": "rogerup/notebookf99925ec4f", "kernel_id": "204589"}, {"ref": "marketmaker/notebookb6a41144f0", "kernel_id": "116660"}, {"ref": "eneski/a-journey-through-titanic-31b45d3e", "kernel_id": "178545"}, {"ref": "eneski/a-journey-through-titanic", "kernel_id": "177623"}, {"ref": "eneski/notebook57b3bed92e", "kernel_id": "177602"}, {"ref": "clararnoux/titanic-notebook", "kernel_id": "107276"}, {"ref": "clararnoux/titanic-not-failing", "kernel_id": "103952"}, {"ref": "clararnoux/notebookff39edfbb3", "kernel_id": "103942"}, {"ref": "iangarland/titanic", "kernel_id": "107883"}, {"ref": "papanya/myscript", "kernel_id": "109554"}, {"ref": "crystalcastle/a-journey-through-titanic", "kernel_id": "105572"}, {"ref": "crystalcastle/a-journey-through-titanic-1110e8b2", "kernel_id": "107657"}, {"ref": "nuriti/a-journey-through-titanic-123c93", "kernel_id": "191191"}, {"ref": "nuriti/a-journey-through-titanic", "kernel_id": "108973"}, {"ref": "varunku/notebookdd4fae3fbc", "kernel_id": "238036"}, {"ref": "varunku/notebook63a06f5c8b", "kernel_id": "237975"}, {"ref": "magdalenas/notebook83f138726a", "kernel_id": "115555"}, {"ref": "huangwenwen/a-journey-through-titanic", "kernel_id": "182602"}, {"ref": "sumedhai26/titanic-project", "kernel_id": "105544"}, {"ref": "alitatarmehdi/titanic-competition-notebook", "kernel_id": "279739"}, {"ref": "dzklavier/predict-titantic-survivors", "kernel_id": "337121"}, {"ref": "dzklavier/predict-survivors", "kernel_id": "337740"}, {"ref": "willibutz/a-journey-through-titanic-f267bb0e", "kernel_id": "107323"}, {"ref": "willibutz/a-journey-through-titanic", "kernel_id": "105604"}, {"ref": "hiambati/geytting-started-with-kaggle", "kernel_id": "102750"}, {"ref": "hiambati/notebook3190a9d9a8", "kernel_id": "106496"}, {"ref": "kvnchn/notebookcf0282c794", "kernel_id": "103675"}, {"ref": "kvnchn/notebook840ad7ad6f", "kernel_id": "117889"}, {"ref": "davecosta/notebook751cabf263", "kernel_id": "122557"}, {"ref": "davecosta/notebook09f84859d7", "kernel_id": "137749"}, {"ref": "davecosta/exploring-survival-on-the-titanic", "kernel_id": "137529"}, {"ref": "brucialized/titanic", "kernel_id": "129121"}, {"ref": "brucialized/notebooke465a0de61", "kernel_id": "129126"}, {"ref": "pavanvavilapalli/c50-titanic-survivors-prediction", "kernel_id": "200179"}, {"ref": "ravaliraj/titanic-data-visualization-and-ml", "kernel_id": "513187"}, {"ref": "chn9hn/a-journey-through-titanic", "kernel_id": "113234"}, {"ref": "maunesh/a-journey-through-titanic", "kernel_id": "106972"}, {"ref": "aadishchopra/titanic-by-aadish", "kernel_id": "295658"}, {"ref": "aadishchopra/aadish", "kernel_id": "166604"}, {"ref": "aadishchopra/titanicaadish", "kernel_id": "164780"}, {"ref": "jingteng/a-journey-through-titanic", "kernel_id": "102850"}, {"ref": "rajdev/titanic-revisit", "kernel_id": "107517"}, {"ref": "rajdev/prediction-of-survivors-in-titanic-disaster", "kernel_id": "107526"}, {"ref": "lastalien/notebook0be188e141", "kernel_id": "141379"}, {"ref": "jaggerwu/start-from-tatani", "kernel_id": "167981"}, {"ref": "guorong/a-journey-through-titanic", "kernel_id": "102918"}, {"ref": "viking714/introduction-to-ensembling-stacking-in-python", "kernel_id": "197942"}, {"ref": "viking714/a-journey-through-titanic", "kernel_id": "193650"}, {"ref": "aschakra/titanic-survival-prediction", "kernel_id": "227127"}, {"ref": "aschakra/fork-of-titanic-survival-prediction", "kernel_id": "227192"}, {"ref": "aschakra/notebook41a66c2a71", "kernel_id": "228714"}, {"ref": "polinaps/a-journey-through-titanic", "kernel_id": "160557"}, {"ref": "onurctirtir/a-journey-through-titanic", "kernel_id": "103038"}, {"ref": "mohankanni/exploring-survival-on-the-titanic", "kernel_id": "221063"}, {"ref": "duthade/notebookdf6da6e45e", "kernel_id": "102931"}, {"ref": "hamza01/notebook6139e57926", "kernel_id": "112246"}, {"ref": "sramml/simple-tutorial-for-beginners", "kernel_id": "322787"}, {"ref": "aceccon/predicting-surviving-in-titanic", "kernel_id": "476882"}, {"ref": "sblaizer/a-journey-through-titanic", "kernel_id": "119412"}, {"ref": "sblaizer/a-journey-through-titanic-bcbe601b", "kernel_id": "122199"}, {"ref": "bogisha/a-journey-through-titanic", "kernel_id": "104951"}, {"ref": "amarnatht/titanic", "kernel_id": "207535"}, {"ref": "aswinmohan/titanic-dataset", "kernel_id": "188698"}, {"ref": "alfredjuniorsmith/notebook4d6b599ce8", "kernel_id": "103145"}, {"ref": "mindblast/first-titanic-submission-using-dt", "kernel_id": "253862"}, {"ref": "stephencurry/notebookf261d84c9e", "kernel_id": "103525"}, {"ref": "tongust/test1-py", "kernel_id": "140267"}, {"ref": "opticalmonster/a-journey-through-titanic", "kernel_id": "158827"}, {"ref": "opticalmonster/a-journey-through-titanic-1c7422ff", "kernel_id": "163259"}, {"ref": "opticalmonster/a-journey-through-titanic-5cb2252e", "kernel_id": "163262"}, {"ref": "deskmonkey/a-journey-through-titanic", "kernel_id": "131454"}, {"ref": "nlpryan/notebooke618261f8d", "kernel_id": "118205"}, {"ref": "jingxiang1228/a-journey-through-titanic", "kernel_id": "103192"}, {"ref": "rdcsung/an-interactive-data-science-tutorial", "kernel_id": "172658"}, {"ref": "rdcsung/notebookba3baaeea4", "kernel_id": "172908"}, {"ref": "wognsch/notebook89ac60e9a1", "kernel_id": "115854"}, {"ref": "wognsch/notebook3efe7ca7d6", "kernel_id": "119100"}, {"ref": "pellinorex/preliminary-study-on-the-data", "kernel_id": "111489"}, {"ref": "nikhan/a-journey-through-titanic", "kernel_id": "103235"}, {"ref": "nikhan/a-journey-through-titanic-97d7407a", "kernel_id": "103265"}, {"ref": "hfllynn/notebook0309979a10", "kernel_id": "103241"}, {"ref": "hfllynn/notebook9096b09c0b", "kernel_id": "103373"}, {"ref": "ruslanar/titanic", "kernel_id": "103256"}, {"ref": "ruslanar/12345", "kernel_id": "103258"}, {"ref": "shwetabh/notebook591e9e41ea", "kernel_id": "230352"}, {"ref": "mihalybaci/a-prediction-of-titanic-proportions", "kernel_id": "279022"}, {"ref": "goldenfleece/a-journey-through-titanic-a452e29c", "kernel_id": "103397"}, {"ref": "goldenfleece/a-journey-through-titanic", "kernel_id": "103283"}, {"ref": "deathma5ter/titanicone", "kernel_id": "289123"}, {"ref": "jenjfyu/a-journey-through-titanic", "kernel_id": "149017"}, {"ref": "donaldspear/notebook39919e96c2", "kernel_id": "141402"}, {"ref": "justinpjack/exploring-survival-on-the-titanic", "kernel_id": "109037"}, {"ref": "premshah/a-journey-through-titanic", "kernel_id": "169479"}, {"ref": "yuwangbike/a-journey-through-titanic", "kernel_id": "103390"}, {"ref": "na0mattz/random-forest-benchmark-r", "kernel_id": "103774"}, {"ref": "bearjew/notebook7186338148", "kernel_id": "253653"}, {"ref": "bearjew/notebookd9918d0def", "kernel_id": "253654"}, {"ref": "omegavar/a-journey-through-titanic", "kernel_id": "103585"}, {"ref": "bozhkovd/an-interactive-data-science-tutorial", "kernel_id": "257092"}, {"ref": "kirstenz/i-m-sort-of-learning-this-slowly", "kernel_id": "119742"}, {"ref": "mchirag/notebookd96d9b438d", "kernel_id": "227184"}, {"ref": "csafka/basic-model-using-pandas-and-sklearn", "kernel_id": "104573"}, {"ref": "lynskylate/titanic-random-forest-82-78", "kernel_id": "179244"}, {"ref": "lynskylate/notebook93e3a40964", "kernel_id": "179237"}, {"ref": "amezolma/notebookd2320f36c3", "kernel_id": "219402"}, {"ref": "davidnohejl/notebookca6503f116", "kernel_id": "103561"}, {"ref": "ifl1983/notebook85f307b322", "kernel_id": "248782"}, {"ref": "ifl1983/my-titanic-v1", "kernel_id": "248789"}, {"ref": "ifl1983/notebookb822848521", "kernel_id": "210108"}, {"ref": "ifl1983/ifl-titanic", "kernel_id": "210109"}, {"ref": "mikekane/titanic-data-science-solutions-494810", "kernel_id": "235565"}, {"ref": "dgf4qu/titanic-analysis-with-k-nearest-neighbor", "kernel_id": "542087"}, {"ref": "technoyogeek/fork-of-an-interactive-data-science-tutorial", "kernel_id": "322061"}, {"ref": "technoyogeek/an-interactive-data-science-tutorial", "kernel_id": "186403"}, {"ref": "technoyogeek/a-journey-through-titanic-09f843", "kernel_id": "186400"}, {"ref": "ruveyda/notebooke50a9786ad", "kernel_id": "154243"}, {"ref": "rmferg/titantic", "kernel_id": "121190"}, {"ref": "sshekhar/sinking-teeth-into-data-science-with-titanic", "kernel_id": "122050"}, {"ref": "ryanboder/script1", "kernel_id": "104098"}, {"ref": "ryanboder/notebook1", "kernel_id": "104100"}, {"ref": "futuresteven/ddddd", "kernel_id": "109474"}, {"ref": "yongjin87/notebookd5b72f05d5", "kernel_id": "109032"}, {"ref": "richarlee/notebookd23ffc9fd9", "kernel_id": "115234"}, {"ref": "richarlee/notebook1e6af45bde", "kernel_id": "114801"}, {"ref": "richarlee/a-journey-through-titanic", "kernel_id": "111749"}, {"ref": "richarlee/my-titanic", "kernel_id": "125351"}, {"ref": "andyholmes/notebook74e9aa35a2", "kernel_id": "129082"}, {"ref": "thautwarm/exploratory-tutorial-titanic", "kernel_id": "106838"}, {"ref": "wangzhenxjh/test45", "kernel_id": "105390"}, {"ref": "wangzhenxjh/notebook8b3a2dbc7d", "kernel_id": "196964"}, {"ref": "wangzhenxjh/a-journey-through-titanic", "kernel_id": "196944"}, {"ref": "wangzhenxjh/notebook7bec8927d4", "kernel_id": "196935"}, {"ref": "feiyu87/a-journey-through-titanic", "kernel_id": "191500"}, {"ref": "feiyu87/titanic-best-working-classifier-50e9a4", "kernel_id": "191493"}, {"ref": "komunyong/notebook6d73ede82b", "kernel_id": "104358"}, {"ref": "komunyong/testscript", "kernel_id": "104332"}, {"ref": "xiaohongdeng/pilot-test", "kernel_id": "147977"}, {"ref": "jon40084/notebookf5c6e9c3bb", "kernel_id": "195833"}, {"ref": "jon40084/notebook42cd112b78", "kernel_id": "195883"}, {"ref": "akashjain619/notebook0ea644841d", "kernel_id": "193055"}, {"ref": "aakashmgupta/exploring-survival-on-the-titanic", "kernel_id": "103784"}, {"ref": "zfrysrylmz/roy-s-titanic-notebook-7d7894ef", "kernel_id": "129656"}, {"ref": "elituan/a-journey-through-titanic", "kernel_id": "104693"}, {"ref": "elituan/nothing", "kernel_id": "105304"}, {"ref": "mikelangel/introduction-to-ensembling-stacking-in-python", "kernel_id": "188032"}, {"ref": "dustni/titanic", "kernel_id": "169893"}, {"ref": "davidli/notebookefd675f0f8", "kernel_id": "111372"}, {"ref": "vaskevychruslan/titanic-revisit", "kernel_id": "106827"}, {"ref": "vaskevychruslan/notebooke5e13a9a15", "kernel_id": "106762"}, {"ref": "jarri81/notebook696f6edeaa", "kernel_id": "112444"}, {"ref": "divyanshsaxena00/notebook1812d5395b", "kernel_id": "137665"}, {"ref": "divyanshsaxena00/notebook42b9f6aa4e", "kernel_id": "119303"}, {"ref": "divyanshsaxena00/first-attempt-titatic-dataset", "kernel_id": "119308"}, {"ref": "kyuman/random-forest-benchmark-r", "kernel_id": "117536"}, {"ref": "babayka/titanicpredictiontest", "kernel_id": "105860"}, {"ref": "magnusbu/titanic-passenger-survival-prediction", "kernel_id": "104380"}, {"ref": "ksmshankar/titanic-all-algorithms", "kernel_id": "331827"}, {"ref": "shubhankar1/a-journey-through-titanic", "kernel_id": "104610"}, {"ref": "yasunori/notebook6005b72ecc", "kernel_id": "201158"}, {"ref": "jialutu/notebook17d2c495cd", "kernel_id": "198004"}, {"ref": "monstarxtt/notebook94cbf452ac", "kernel_id": "258354"}, {"ref": "wgchang/a-journey-through-titanic", "kernel_id": "104317"}, {"ref": "anthonyivan/titanic", "kernel_id": "174223"}, {"ref": "anthonyivan/fork-of-titanic", "kernel_id": "175017"}, {"ref": "sandhyaparkar/notebook16705b5c79", "kernel_id": "245619"}, {"ref": "dd2908/a-journey-through-titanic", "kernel_id": "120765"}, {"ref": "dd2908/a-journey-through-titanic-89140686", "kernel_id": "121095"}, {"ref": "dd2908/eda-from-a-beginner-for-beginners", "kernel_id": "483658"}, {"ref": "nichole/a-journey-through-titanic", "kernel_id": "104445"}, {"ref": "arpitr/titanic-survival", "kernel_id": "180266"}, {"ref": "dabandit/titanic-survival-explore-model-predict-py", "kernel_id": "329592"}, {"ref": "hugheser/titanic-guided-by-a-confusion-matrix", "kernel_id": "112186"}, {"ref": "hugheser/titanic-guided-by-a-confusion-matrix-f557ed1f", "kernel_id": "112600"}, {"ref": "newneter/inicio", "kernel_id": "103991"}, {"ref": "newneter/titulo", "kernel_id": "103998"}, {"ref": "newneter/notebook4b2548010f", "kernel_id": "104007"}, {"ref": "newneter/titanic", "kernel_id": "104010"}, {"ref": "newneter/titan", "kernel_id": "104011"}, {"ref": "janosimas/first-try", "kernel_id": "117066"}, {"ref": "janosimas/titanic-test", "kernel_id": "126619"}, {"ref": "marvinkoenig/titanic-machine-learning-survival", "kernel_id": "245673"}, {"ref": "newzaimnayalove/notebooka666d7519e", "kernel_id": "201089"}, {"ref": "spoposki/notebookfc987328c1", "kernel_id": "133093"}, {"ref": "whocaresyou/titanic-xgboost", "kernel_id": "162897"}, {"ref": "whocaresyou/a-journey-through-titanic-6bb1eb0d", "kernel_id": "162939"}, {"ref": "sidkidop/notebook6de7d235dd", "kernel_id": "117354"}, {"ref": "awheeldon/alex-s-titanic-data-challenge", "kernel_id": "213376"}, {"ref": "awheeldon/notebook5029bfddf2", "kernel_id": "212837"}, {"ref": "vishalvikram1992/basic-model-using-pandas-and-sklearn", "kernel_id": "106307"}, {"ref": "ml2nlp/first-scirpt", "kernel_id": "177123"}, {"ref": "ml2nlp/notebook12274f8391", "kernel_id": "177120"}, {"ref": "bluepoplar/try-2", "kernel_id": "106617"}, {"ref": "bluepoplar/try-1", "kernel_id": "104164"}, {"ref": "bluepoplar/a-journey-through-titanic", "kernel_id": "104184"}, {"ref": "totanhy/a-journey-through-titanic", "kernel_id": "106107"}, {"ref": "pankajb64/a-journey-through-titanic", "kernel_id": "105247"}, {"ref": "pankajb64/basic-decision-tree-kernel", "kernel_id": "789808"}, {"ref": "chicabow/first-step-in-titanic", "kernel_id": "139520"}, {"ref": "chicabow/first-code-for-titanic", "kernel_id": "140278"}, {"ref": "chicabow/heights-and-weights", "kernel_id": "140281"}, {"ref": "chicabow/titanic", "kernel_id": "104240"}, {"ref": "esraeroglu/notebook79c8aadebe", "kernel_id": "143778"}, {"ref": "esraeroglu/notebook172d2f7371", "kernel_id": "143784"}, {"ref": "esraeroglu/notebook206ded3d0c", "kernel_id": "143788"}, {"ref": "vannho/titanic", "kernel_id": "104284"}, {"ref": "femagr/notebook41d5e61ede", "kernel_id": "122145"}, {"ref": "namdori61/a-journey-through-titanic", "kernel_id": "145783"}, {"ref": "yanyinggu/xgboost-example-python", "kernel_id": "257610"}, {"ref": "yanyinggu/titanic-ml", "kernel_id": "301830"}, {"ref": "matthewchangkit/notebookd3399f6051", "kernel_id": "201274"}, {"ref": "wangdong0928/a-journey-through-titanic", "kernel_id": "104484"}, {"ref": "margaret37/notebook47f1e61714", "kernel_id": "120286"}, {"ref": "margaret37/a-journey-through-titanic", "kernel_id": "120419"}, {"ref": "jasperdeboer/testje", "kernel_id": "106177"}, {"ref": "minishlink/titanic-first-test", "kernel_id": "104622"}, {"ref": "nemanja1024/notebookd10f8e3dfe", "kernel_id": "104627"}, {"ref": "stirlitz/test-titanic", "kernel_id": "220136"}, {"ref": "gopalnbi/r-embulan-titanic-notebook", "kernel_id": "104957"}, {"ref": "lancejernigan/titanic-analysis", "kernel_id": "104609"}, {"ref": "shivampanchal/this-is-my-first-kernel-submission", "kernel_id": "106006"}, {"ref": "shivampanchal/this-is-my-first-submission-on-kaggle", "kernel_id": "106017"}, {"ref": "shivampanchal/learning-from-the-disaster-99-accuracy", "kernel_id": "690972"}, {"ref": "kmahsan/using-naive-bayes", "kernel_id": "702260"}, {"ref": "tukichen/titanic-r-random-forest", "kernel_id": "185354"}, {"ref": "tukichen/prediction-with-ensembling-method", "kernel_id": "193110"}, {"ref": "zed888/trial1", "kernel_id": "106335"}, {"ref": "monfilier/titanic-survival-prediction", "kernel_id": "305664"}, {"ref": "pascalkeke/a-journey-through-titanic", "kernel_id": "104759"}, {"ref": "maizesix92/playing-around", "kernel_id": "253875"}, {"ref": "powerzero/a-journey-through-titanic", "kernel_id": "106385"}, {"ref": "fouronsix/an-interactive-data-science-tutorial", "kernel_id": "170760"}, {"ref": "nishank974/notebook30c0493806", "kernel_id": "157350"}, {"ref": "nishank974/buzzinga-titanic", "kernel_id": "158239"}, {"ref": "jmataya/simple-model-for-getting-started", "kernel_id": "180122"}, {"ref": "sandraha/notebookcc5a916fea", "kernel_id": "105353"}, {"ref": "sandraha/my-first-script", "kernel_id": "105359"}, {"ref": "reyhaneh/titanic-s", "kernel_id": "105881"}, {"ref": "reyhaneh/analysing-titanic", "kernel_id": "105821"}, {"ref": "zhuangzma/notebook50ceed4452", "kernel_id": "238291"}, {"ref": "zhuangzma/notebookf314c48e2d", "kernel_id": "238297"}, {"ref": "anmol007/notebook3ee9688710", "kernel_id": "218925"}, {"ref": "chooblarin/exploratory-tutorial-titanic", "kernel_id": "108932"}, {"ref": "chooblarin/hello-kaggle", "kernel_id": "108814"}, {"ref": "satishmishra/notebook5b6fdb6739", "kernel_id": "147318"}, {"ref": "kottok/notebookb2be7f9699", "kernel_id": "130180"}, {"ref": "kottok/aaaaa-1", "kernel_id": "129587"}, {"ref": "zxs123/notebook9114839742", "kernel_id": "118834"}, {"ref": "xiaohano/notebookeb67013182", "kernel_id": "143440"}, {"ref": "xiaoyukeen/a-journey-through-titanic", "kernel_id": "132033"}, {"ref": "rkisyula12/exploratory-tutorial-titanic", "kernel_id": "106030"}, {"ref": "zhanglic/a-journey-through-titanic-b0a0cdd0", "kernel_id": "105130"}, {"ref": "zhanglic/exploratory-tutorial-titanic", "kernel_id": "108818"}, {"ref": "zhanglic/exploratory-tutorial-titanic-af172daf", "kernel_id": "109458"}, {"ref": "dragma/rruighut", "kernel_id": "106509"}, {"ref": "dragma/a-journey-through-titanic", "kernel_id": "105021"}, {"ref": "dragma/kaggle-titanic-001", "kernel_id": "105032"}, {"ref": "dragma/myscript", "kernel_id": "105049"}, {"ref": "tashay/predicting-survival-on-the-titanic", "kernel_id": "107647"}, {"ref": "tashay/fork-of-notebook3ab7b288a2", "kernel_id": "173791"}, {"ref": "aanand1/exploring-dataset", "kernel_id": "108991"}, {"ref": "iridescence/a-journey-through-titanic", "kernel_id": "119913"}, {"ref": "bjokanov/titanic-random-forest-82-78", "kernel_id": "177378"}, {"ref": "linxurong/exploring-survival-on-the-titanic", "kernel_id": "105167"}, {"ref": "magicsany/titanic-data-sandbox", "kernel_id": "105690"}, {"ref": "magicsany/notebookf6996fb2f3", "kernel_id": "105687"}, {"ref": "randomguy12/hello-titanic", "kernel_id": "270753"}, {"ref": "lzjqsdd/solutionwithsvm", "kernel_id": "215727"}, {"ref": "sushobhan04/a-journey-through-titanic", "kernel_id": "113182"}, {"ref": "yuzhen/notebookc3ff386eef", "kernel_id": "204933"}, {"ref": "yuzhen/feature-engineering-and-several-ml-algos", "kernel_id": "204006"}, {"ref": "adonrain/my-test", "kernel_id": "222777"}, {"ref": "wilful/notebookd3b76399d2", "kernel_id": "244684"}, {"ref": "wilful/virgin-maiden", "kernel_id": "244688"}, {"ref": "quangnguyenjvn/notebook8937ad4620", "kernel_id": "191611"}, {"ref": "shujauddeen/notebookc2295b0062", "kernel_id": "105423"}, {"ref": "partialgeek/a-journey-through-titanic", "kernel_id": "114288"}, {"ref": "partialgeek/a-journey-through-titanic-27f3989d", "kernel_id": "120720"}, {"ref": "acevikel/notebook7f52ae2327", "kernel_id": "105441"}, {"ref": "acevikel/a-journey-through-titanic", "kernel_id": "131097"}, {"ref": "erfeiliu/introduction-to-ensembling-stacking-in-python", "kernel_id": "188704"}, {"ref": "dataguy12/notebook2242166a7b", "kernel_id": "105459"}, {"ref": "catalanadelmon/a-journey-through-titanic-2e208f7d", "kernel_id": "118813"}, {"ref": "stuartm/titanic-a-learning-experience", "kernel_id": "164425"}, {"ref": "stuartm/titanic-predictions", "kernel_id": "164309"}, {"ref": "dalib6/simple-stacking-with-xgboost-0-808", "kernel_id": "169172"}, {"ref": "dalib6/a-journey-through-titanic", "kernel_id": "120682"}, {"ref": "dalib6/a-journey-through-titanic-c7a6d3d5", "kernel_id": "121637"}, {"ref": "ravikumarr/notebook193daa29f4", "kernel_id": "191768"}, {"ref": "pdxshark/first-titanic-analysis", "kernel_id": "107443"}, {"ref": "baharr/a-journey-through-titanic", "kernel_id": "154033"}, {"ref": "baharr/titanic-best-working-classifier", "kernel_id": "154018"}, {"ref": "baharr/surviving-random-forest-and-logistic-regression", "kernel_id": "154139"}, {"ref": "baharr/titanic-best-working-classifier-7a5368ee", "kernel_id": "154130"}, {"ref": "ugurkonar/notebook150e42da32", "kernel_id": "150045"}, {"ref": "ugurkonar/notebook512ffa219a", "kernel_id": "150058"}, {"ref": "ugurkonar/titanic-data-science-solutions-0849cee6", "kernel_id": "150062"}, {"ref": "ugurkonar/notebook29c4fbe684", "kernel_id": "150056"}, {"ref": "manastyrny/a-journey-through-titanic", "kernel_id": "105624"}, {"ref": "manastyrny/test-notebook", "kernel_id": "105637"}, {"ref": "rchitic17/titanic-r-to-python", "kernel_id": "111199"}, {"ref": "zouzou/introduction-to-ensembling-stacking-in-pyth-a0b5cc", "kernel_id": "244885"}, {"ref": "jtrinc/notebook96c6881359", "kernel_id": "116634"}, {"ref": "ledadel/titanic-survivorship-neural-network-model", "kernel_id": "364136"}, {"ref": "pradeepchappidi/test-script", "kernel_id": "229471"}, {"ref": "pradeepchappidi/notebook6ad8313225", "kernel_id": "229468"}, {"ref": "porlan1/titanic-survival-predictor-svc", "kernel_id": "128312"}, {"ref": "norikazutsuji/notebook1e0073f610", "kernel_id": "117514"}, {"ref": "anthonymarty/notebook45a0e6934e", "kernel_id": "105697"}, {"ref": "cucdoublel/a-journey-through-titanic", "kernel_id": "123508"}, {"ref": "eladzaa/a-journey-through-titanic", "kernel_id": "108350"}, {"ref": "roguehol/test1", "kernel_id": "105764"}, {"ref": "roguehol/notebook9dc94efe69", "kernel_id": "105762"}, {"ref": "tugceozge/titanic-final", "kernel_id": "156245"}, {"ref": "tugceozge/notebook2b2ebceaaa", "kernel_id": "156438"}, {"ref": "tugceozge/fork-of-titanic-final", "kernel_id": "156371"}, {"ref": "hberkia/notebookeb841c52c6", "kernel_id": "172490"}, {"ref": "charliecriswell/titanic-svm", "kernel_id": "105841"}, {"ref": "duanhb/a-journey-through-titanic", "kernel_id": "147555"}, {"ref": "vvasani/introduction-to-ensembling-stacking-in-python", "kernel_id": "189520"}, {"ref": "vvasani/titanic-survival-prediction", "kernel_id": "221909"}, {"ref": "owenlloyd/test1", "kernel_id": "110400"}, {"ref": "eyvindur/tittel", "kernel_id": "105849"}, {"ref": "aimerunow/notebook5a04fc4e42", "kernel_id": "228905"}, {"ref": "eswai30/a-journey-through-titanic", "kernel_id": "175779"}, {"ref": "ryofio/notebook5f5b1923cf", "kernel_id": "109417"}, {"ref": "thedom/a-journey-through-titanic", "kernel_id": "106975"}, {"ref": "runcinho/notebook45cc561f79", "kernel_id": "111719"}, {"ref": "jamesbrimson/notebook530a8c3b32", "kernel_id": "116062"}, {"ref": "jamesbrimson/titanic-train-dataset", "kernel_id": "120696"}, {"ref": "yoskmr/pydataokinawa18", "kernel_id": "106058"}, {"ref": "laurencebird/titanic", "kernel_id": "132945"}, {"ref": "hina666/notebookd8b39b6361", "kernel_id": "111720"}, {"ref": "arunima29/firststep", "kernel_id": "112379"}, {"ref": "arunima29/secondstep", "kernel_id": "112398"}, {"ref": "gogglejess/titanic-j", "kernel_id": "113883"}, {"ref": "dorongurel/notebooka615c41d2b", "kernel_id": "106206"}, {"ref": "dorongurel/asdfg1", "kernel_id": "109501"}, {"ref": "stewartdouglas/a-journey-through-titanic", "kernel_id": "110791"}, {"ref": "ajhalford/a-journey-through-titanic", "kernel_id": "105938"}, {"ref": "indrango/a-journey-through-titanic", "kernel_id": "178718"}, {"ref": "kidrigger/notebook83723c9d3f", "kernel_id": "236267"}, {"ref": "nerdliness/notebook5f287cc422", "kernel_id": "107024"}, {"ref": "numadhamani/notebooka34109130f", "kernel_id": "107026"}, {"ref": "numadhamani/a-journey-through-titanic", "kernel_id": "107034"}, {"ref": "gsanchez11/notebookdb1927f384", "kernel_id": "107030"}, {"ref": "alomia/ignore1", "kernel_id": "106073"}, {"ref": "alomia/ignore3", "kernel_id": "108476"}, {"ref": "saboyutaka/machine-learning-tutorial", "kernel_id": "213619"}, {"ref": "saboyutaka/starter", "kernel_id": "107996"}, {"ref": "saboyutaka/pandas-tutorial-with-cheatsheet", "kernel_id": "106057"}, {"ref": "saboyutaka/notebookcf9b9488d4", "kernel_id": "134148"}, {"ref": "saboyutaka/at-koza-machine-learning-bootcamp", "kernel_id": "134183"}, {"ref": "sachinphatak/titanic-first-attempt", "kernel_id": "253138"}, {"ref": "chewinggum/titanic1", "kernel_id": "163810"}, {"ref": "dameya/titanic-best-working-classifier", "kernel_id": "141936"}, {"ref": "chenatu/notebook1bf54d7ce2", "kernel_id": "160493"}, {"ref": "chenatu/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "160496"}, {"ref": "chenatu/a-journey-through-titanic", "kernel_id": "128460"}, {"ref": "chenatu/notebook785c8666bd", "kernel_id": "124294"}, {"ref": "utkarshrai/notebook9da8f93b41", "kernel_id": "106444"}, {"ref": "utkarshrai/the-solution-to-titanic-problem-first-attempt", "kernel_id": "232872"}, {"ref": "roopaljain/titanic", "kernel_id": "148814"}, {"ref": "roopaljain/a-journey-through-titanic-b7504afe", "kernel_id": "144401"}, {"ref": "roopaljain/a-journey-through-titanic", "kernel_id": "144126"}, {"ref": "reaganks/first-attempt-on-data-science", "kernel_id": "261220"}, {"ref": "beautifulsoup4/titanic-data-science-solutions", "kernel_id": "164740"}, {"ref": "jonnyevans/a-journey-through-titanic-hi", "kernel_id": "107530"}, {"ref": "jonnyevans/exploratory-tutorial-titanic", "kernel_id": "108402"}, {"ref": "apohrebniak/notebooka8d003723a", "kernel_id": "106920"}, {"ref": "niquil/lucky-names", "kernel_id": "106360"}, {"ref": "chocola/notebookd89c274625", "kernel_id": "107521"}, {"ref": "jfdamy/titanic-exploration", "kernel_id": "109193"}, {"ref": "twicebyte/notebook511fcbcb04", "kernel_id": "113400"}, {"ref": "mclvct/titanic1", "kernel_id": "106196"}, {"ref": "yifuyang/notebookced5faa273", "kernel_id": "224411"}, {"ref": "linvanessali/notebook8f37d1643d", "kernel_id": "140702"}, {"ref": "sardorabdullaev/notebookfdd6c7ccc2", "kernel_id": "124436"}, {"ref": "sumantmann/a-journey-through-titanic", "kernel_id": "171290"}, {"ref": "chrishamblin7/random-forest-vs-svm", "kernel_id": "122810"}, {"ref": "raghav90/introduction-to-ensembling-stacking-in-python", "kernel_id": "194781"}, {"ref": "edhuar/a-journey-through-titanic", "kernel_id": "106327"}, {"ref": "ainampudiraviteja/pytanic", "kernel_id": "275013"}, {"ref": "ainampudiraviteja/notebook787f2bb7c1", "kernel_id": "272351"}, {"ref": "maksdizzy/titanic-data-science-solutions", "kernel_id": "246274"}, {"ref": "maksdizzy/notebookb7ebcefb9a", "kernel_id": "246304"}, {"ref": "ghadgetejas/titanic", "kernel_id": "228521"}, {"ref": "mrstepanovic/using-random-forests-to-identify-titanic-survivors", "kernel_id": "108223"}, {"ref": "hsuanchen/a-journey-through-titanic", "kernel_id": "106425"}, {"ref": "hsuanchen/1st-script", "kernel_id": "106367"}, {"ref": "anitka/a-journey-through-titanic", "kernel_id": "106386"}, {"ref": "hongviet2002/exploring-survived-on-titanic", "kernel_id": "116712"}, {"ref": "hongviet2002/notebookee74967459", "kernel_id": "116714"}, {"ref": "hongviet2002/notebookd17a750160", "kernel_id": "116902"}, {"ref": "hongviet2002/the-survivors-on-board", "kernel_id": "116907"}, {"ref": "hongviet2002/survived-on-titanic-board", "kernel_id": "117709"}, {"ref": "hongviet2002/notebook06f368be3c", "kernel_id": "117710"}, {"ref": "leludo/notebook60542abfb4", "kernel_id": "213992"}, {"ref": "jjbohn/notebook7ca1cf414a", "kernel_id": "107592"}, {"ref": "rockemsockem/exploratory-tutorial-titanic", "kernel_id": "108440"}, {"ref": "payel96/first-submission", "kernel_id": "350447"}, {"ref": "denradovskiy/myscript134345345", "kernel_id": "106525"}, {"ref": "wenabcd/exploratory-tutorial-titanic-disaster-33c52ad8", "kernel_id": "115076"}, {"ref": "wenabcd/exploratory-tutorial-titanic-disaster", "kernel_id": "114041"}, {"ref": "hwmagicok/titanic", "kernel_id": "114075"}, {"ref": "khushiagarwal/notebook77546fedbf", "kernel_id": "214290"}, {"ref": "jeksonic/notebook20fd383f74", "kernel_id": "247465"}, {"ref": "jeksonic/notebook5d194849c7", "kernel_id": "247132"}, {"ref": "jeksonic/titanictest", "kernel_id": "247135"}, {"ref": "jeksonic/a-journey-through-titanic", "kernel_id": "106656"}, {"ref": "romanstrukov/a-journey-through-titanic", "kernel_id": "116114"}, {"ref": "dean2016/notebook7c2ded4714", "kernel_id": "147190"}, {"ref": "dean2016/titanic-best-working-classifier-a2caa9fe", "kernel_id": "147164"}, {"ref": "dean2016/a-journey-through-titanic", "kernel_id": "147142"}, {"ref": "dean2016/titanic-best-working-classifier-99b4abbb", "kernel_id": "147144"}, {"ref": "dean2016/notebook26be4a6e4a", "kernel_id": "146267"}, {"ref": "dean2016/titanic-best-working-classifier", "kernel_id": "146427"}, {"ref": "dean2016/notebooka4e7141cfc", "kernel_id": "154281"}, {"ref": "dean2016/notebookc22206949c", "kernel_id": "151886"}, {"ref": "dean2016/exploratory-tutorial-titanic", "kernel_id": "152015"}, {"ref": "rrqqmm/introduction-to-ensembling-stacking-in-python", "kernel_id": "185892"}, {"ref": "rrqqmm/keras", "kernel_id": "186974"}, {"ref": "rrqqmm/introduction-to-ensembling-stacking-in-pyth-8e3238", "kernel_id": "190092"}, {"ref": "rrqqmm/a-journey-through-titanic", "kernel_id": "115360"}, {"ref": "marcelolajr/a-journey-through-titanic-0a157849", "kernel_id": "107025"}, {"ref": "marcelolajr/a-journey-through-titanic", "kernel_id": "107004"}, {"ref": "marcelolajr/a-journey-through-titanic-a377338e", "kernel_id": "107343"}, {"ref": "marcelolajr/a-journey-through-titanic-a5dce8eb", "kernel_id": "107750"}, {"ref": "marcelolajr/a-journey-through-titanic-66be941b", "kernel_id": "109367"}, {"ref": "marcelolajr/a-journey-through-titanic-8530e03f", "kernel_id": "111813"}, {"ref": "marcelolajr/titanic-first-neural-network-approach", "kernel_id": "118995"}, {"ref": "marcelolajr/notebook564040c4f7", "kernel_id": "119041"}, {"ref": "heirenzhanshen/exploratory-tutorial-titanic", "kernel_id": "111584"}, {"ref": "heirenzhanshen/exploratory-tutorial-titanic-0132076c", "kernel_id": "111667"}, {"ref": "liyanghy/mytitanic", "kernel_id": "109109"}, {"ref": "liyanghy/myfirsttest", "kernel_id": "108295"}, {"ref": "sgk284/exploring-survival-on-the-titanic", "kernel_id": "106739"}, {"ref": "sgk284/a-journey-through-titanic", "kernel_id": "106759"}, {"ref": "waterbird258/a-journey-through-titanic", "kernel_id": "112403"}, {"ref": "waterbird258/myrandomforest", "kernel_id": "112405"}, {"ref": "mjbhobe/titanic-chance-of-survival-acc-0-97-auc-0-99", "kernel_id": "902815"}, {"ref": "suyashsingh/titanic-machine-learning-from-a-disaster", "kernel_id": "114070"}, {"ref": "suyashsingh/kaggle-titanic-001", "kernel_id": "135625"}, {"ref": "tugrulz/a-journey-through-titanic", "kernel_id": "162753"}, {"ref": "joeberry/titanic-survival", "kernel_id": "107908"}, {"ref": "onurgun/a-journey-through-titanic", "kernel_id": "118324"}, {"ref": "wolfgangkopp/first-model-py", "kernel_id": "164557"}, {"ref": "maksvrscaj/titanic-try", "kernel_id": "112164"}, {"ref": "yannn26/notebooke6fe1fefca", "kernel_id": "109169"}, {"ref": "yannn26/titanic-randomforest-20161101", "kernel_id": "112052"}, {"ref": "yannn26/notebookd508d8114b", "kernel_id": "111304"}, {"ref": "yannn26/notebook489c175838", "kernel_id": "111404"}, {"ref": "yannn26/titanic-20161030", "kernel_id": "111340"}, {"ref": "yannn26/titanic-20161029", "kernel_id": "111114"}, {"ref": "yannn26/notebook22b7dce6be", "kernel_id": "111066"}, {"ref": "yannn26/notebook83e9c10a68", "kernel_id": "110308"}, {"ref": "yannn26/notebook59822f6625", "kernel_id": "117702"}, {"ref": "yannn26/titanic-svm-20161118", "kernel_id": "119072"}, {"ref": "yannn26/notebooke223bed5af", "kernel_id": "119073"}, {"ref": "yannn26/notebookddbd845195", "kernel_id": "119589"}, {"ref": "cescfangs/a-journey-through-titanic", "kernel_id": "107634"}, {"ref": "aniaga/trial", "kernel_id": "106873"}, {"ref": "longjie0723/a-journey-through-titanic", "kernel_id": "107893"}, {"ref": "rajaguru/notebook2ef0b55feb", "kernel_id": "139013"}, {"ref": "rajaguru/first", "kernel_id": "139001"}, {"ref": "richardrowe/titanic-predictive-analytics-training", "kernel_id": "111721"}, {"ref": "liukun/liukun", "kernel_id": "138418"}, {"ref": "marianok/notebook2567f6b672", "kernel_id": "276073"}, {"ref": "chitang/a-journey-through-titanic", "kernel_id": "107106"}, {"ref": "carhogg/a-journey-through-titanic", "kernel_id": "107053"}, {"ref": "mandalalala/notebook90e841c589", "kernel_id": "199082"}, {"ref": "dlemmett/a-journey-through-titanic", "kernel_id": "115382"}, {"ref": "lwwlsky/notebook3e67b7c5a3", "kernel_id": "194660"}, {"ref": "lwwlsky/a-journey-through-titanic", "kernel_id": "107142"}, {"ref": "plus7zz/a-journey-through-titanic", "kernel_id": "107500"}, {"ref": "azisk1/titanic", "kernel_id": "262898"}, {"ref": "iviixl/a-journey-through-titanic", "kernel_id": "107147"}, {"ref": "tayalone/notebook3cd4336e24", "kernel_id": "120529"}, {"ref": "ashokvb/exploring-survival-on-the-titanic", "kernel_id": "107574"}, {"ref": "jayantrag/finding-patterns-in-survivors-of-titanic-wreckage", "kernel_id": "187267"}, {"ref": "shayan1082/notebook908b293166", "kernel_id": "272233"}, {"ref": "yuanweiliufu/study-of-tree-and-forest-algorithms", "kernel_id": "111596"}, {"ref": "midhunn/notebookad8756e3c4", "kernel_id": "206447"}, {"ref": "dvitsios/titanic-keras-dnn-classifier-one-hot-encoding", "kernel_id": "583865"}, {"ref": "deepak6591/notebook2f79b8c31f", "kernel_id": "235747"}, {"ref": "memetzgz/a-journey-through-titanic", "kernel_id": "108036"}, {"ref": "lodestar403/notebook66e11db623", "kernel_id": "205675"}, {"ref": "dkoo2016/notebookcb846fc477", "kernel_id": "108830"}, {"ref": "dhrumil009/notebookdd1a75f8c7", "kernel_id": "112922"}, {"ref": "sincere/a-journey-through-titanic", "kernel_id": "111966"}, {"ref": "sincere/notebook46a0083639", "kernel_id": "111970"}, {"ref": "sincere/notebookb392e1b6dc", "kernel_id": "108002"}, {"ref": "afei1990/a-journey-through-titanic", "kernel_id": "123840"}, {"ref": "asubedi/notebooka3682233d5", "kernel_id": "226253"}, {"ref": "asubedi/a-journey-through-titanic-cae9d30e", "kernel_id": "107763"}, {"ref": "asubedi/titatic", "kernel_id": "107322"}, {"ref": "asubedi/a-journey-through-titanic", "kernel_id": "107417"}, {"ref": "fmoiteiro/titanic-dataset", "kernel_id": "107723"}, {"ref": "ymograi/notebook661eb873bc", "kernel_id": "170135"}, {"ref": "ymograi/first-trial", "kernel_id": "170137"}, {"ref": "jeanmarc/notebook8541688919", "kernel_id": "247459"}, {"ref": "higgsfield/a-journey-through-titanic", "kernel_id": "135515"}, {"ref": "sandeep8530/fork-of-fork-of-notebook747288c448-332ebadb", "kernel_id": "153844"}, {"ref": "sandeep8530/fork-of-fork-of-notebook747288c448", "kernel_id": "153763"}, {"ref": "sandeep8530/fork-of-fork-of-notebook747288c448-2c36039b", "kernel_id": "153795"}, {"ref": "sandeep8530/titanic-best-working-classifier", "kernel_id": "153784"}, {"ref": "sandeep8530/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "160939"}, {"ref": "sandeep8530/fork-of-fork-of-notebook747288c448-0153a985", "kernel_id": "161686"}, {"ref": "sandeep8530/a-journey-through-titanic-800aa6df", "kernel_id": "147905"}, {"ref": "sandeep8530/fork-of-notebook747288c448", "kernel_id": "147839"}, {"ref": "sandeep8530/titanic-v01", "kernel_id": "188780"}, {"ref": "sandeep8530/titanic-random-forest-82-78", "kernel_id": "193534"}, {"ref": "sandeep8530/fork-of-titanic-best-working-classifier", "kernel_id": "190422"}, {"ref": "wisape/a-journey-through-titanic", "kernel_id": "107424"}, {"ref": "ponfarr/a-journey-through-titanic", "kernel_id": "107471"}, {"ref": "geckya/a-journey-through-titanic", "kernel_id": "107459"}, {"ref": "learnedai/a-journey-through-titanic", "kernel_id": "147560"}, {"ref": "shahrukhmsr/shahrukh", "kernel_id": "258158"}, {"ref": "bgirlduchess/notebooka48360bb01", "kernel_id": "202894"}, {"ref": "nutzu90/titanic-v1", "kernel_id": "221373"}, {"ref": "paugustinsky/could-the-titanic-have-been-saved", "kernel_id": "114084"}, {"ref": "karora/notebooke29939f4c3", "kernel_id": "107962"}, {"ref": "spottydd/titanic-data-wrangling-and-analysis", "kernel_id": "137452"}, {"ref": "danielvb/notebook030d1e5912", "kernel_id": "228996"}, {"ref": "danielvb/notebook8aea731c66", "kernel_id": "228990"}, {"ref": "liyucan/an-interactive-data-science-tutorial-a7e69b", "kernel_id": "212082"}, {"ref": "liyucan/titanic-data-science-solutions", "kernel_id": "212306"}, {"ref": "liyucan/notebook4eede99763", "kernel_id": "211936"}, {"ref": "liyucan/an-interactive-data-science-tutorial", "kernel_id": "211953"}, {"ref": "liyucan/notebook48a389a3cb", "kernel_id": "211905"}, {"ref": "limyueshing/first-attempt", "kernel_id": "257081"}, {"ref": "sachinvy/sachin-test", "kernel_id": "278533"}, {"ref": "celite/notebook00613fcb0e", "kernel_id": "205022"}, {"ref": "celite/notebook8d9d25b28e", "kernel_id": "200797"}, {"ref": "celite/notebookc295640260", "kernel_id": "199425"}, {"ref": "horida/tests", "kernel_id": "107674"}, {"ref": "kristofersoderstrom/titanic-mlp", "kernel_id": "695434"}, {"ref": "sashr07/kaggle-titanic-tutorial", "kernel_id": "487076"}, {"ref": "nmsx1608026/xgboost", "kernel_id": "137965"}, {"ref": "nmsx1608026/randomforet", "kernel_id": "138819"}, {"ref": "nmsx1608026/a-journey-through-titanic", "kernel_id": "133634"}, {"ref": "cjessica/notebook7dceada158", "kernel_id": "111819"}, {"ref": "cjessica/notebookd7491e4332", "kernel_id": "112160"}, {"ref": "cjessica/titanic", "kernel_id": "112465"}, {"ref": "asheshexp/notebookaffb52cb1e", "kernel_id": "107940"}, {"ref": "fallenterran/a-journey-through-titanic", "kernel_id": "110790"}, {"ref": "tnarik/notebook9fdd93f79e", "kernel_id": "215966"}, {"ref": "tnarik/titanic-data-science-solutions", "kernel_id": "193527"}, {"ref": "tnarik/notebook9ad0eb1f80", "kernel_id": "193514"}, {"ref": "adrsta/titanic-passenger-survival-1st-submission", "kernel_id": "238469"}, {"ref": "adrsta/notebookf53b6e81f8", "kernel_id": "245783"}, {"ref": "hetal90/testfile", "kernel_id": "237052"}, {"ref": "hetal90/hworld-1", "kernel_id": "237037"}, {"ref": "hetal90/hello", "kernel_id": "237891"}, {"ref": "hetal90/hello-world123", "kernel_id": "232767"}, {"ref": "hetal90/notebookaf8a5b1fea", "kernel_id": "232764"}, {"ref": "hetal90/hello-world1234", "kernel_id": "233454"}, {"ref": "hetal90/hello-world1", "kernel_id": "225751"}, {"ref": "hetal90/hello-world", "kernel_id": "225740"}, {"ref": "ayubquadri/notebookee9c3068bf", "kernel_id": "140269"}, {"ref": "knighthawk989/notebooke5f434c16a", "kernel_id": "239096"}, {"ref": "knighthawk989/a-journey-through-titanic", "kernel_id": "167826"}, {"ref": "jccampagne/titanic-random-forest-82-78", "kernel_id": "176472"}, {"ref": "pmittal2235/a-journey-through-titanic-ee61ffe4", "kernel_id": "152682"}, {"ref": "pmittal2235/a-journey-through-titanic", "kernel_id": "152598"}, {"ref": "yaokun/a-journey-through-titanic", "kernel_id": "108200"}, {"ref": "zhaoyuwang/just-run-a-script", "kernel_id": "122507"}, {"ref": "xmucbf/notebook109fb781ed", "kernel_id": "112853"}, {"ref": "liqisuccess/try1st", "kernel_id": "258703"}, {"ref": "seanzhu/feature-engineering-and-several-ml-algos", "kernel_id": "204995"}, {"ref": "seanzhu/an-interactive-data-science-tutorial", "kernel_id": "214106"}, {"ref": "helloworldliu/notebook99efe706a4", "kernel_id": "107864"}, {"ref": "chinoyravi/notebookf29eef48d9", "kernel_id": "107847"}, {"ref": "mylive0203/notebook5434b64a4f", "kernel_id": "137554"}, {"ref": "mylive0203/notebookf624b2b084", "kernel_id": "128634"}, {"ref": "ekarademir/notebookb2035e2be6", "kernel_id": "126752"}, {"ref": "chueric/mining-titanic-sink", "kernel_id": "113939"}, {"ref": "chueric/titanic-sink", "kernel_id": "113971"}, {"ref": "kplauritzen/notebook434baef487", "kernel_id": "110700"}, {"ref": "lb2016/myscript", "kernel_id": "114266"}, {"ref": "datazombie/a-journey-through-titanic", "kernel_id": "122413"}, {"ref": "happyzhang/exploratory-tutorial-titanic", "kernel_id": "113521"}, {"ref": "aniruddhsk/a-journey-through-titanic", "kernel_id": "184259"}, {"ref": "arthurlpgc/first-tests", "kernel_id": "213193"}, {"ref": "aayush1/notebook1d749094ca", "kernel_id": "146031"}, {"ref": "fononenil/first-submition", "kernel_id": "110621"}, {"ref": "fononenil/a-journey-through-titanic", "kernel_id": "110313"}, {"ref": "maxiop/show-the-data-in-titanic", "kernel_id": "109114"}, {"ref": "dreamweaver/a-journey-through-titanic", "kernel_id": "109985"}, {"ref": "wanghu15/notebooka748236d4d", "kernel_id": "233652"}, {"ref": "mohdazeemnitw/titanic", "kernel_id": "131008"}, {"ref": "sbcd90/notebook1c3e13cdce", "kernel_id": "108013"}, {"ref": "zepina/a-journey-through-titanic", "kernel_id": "108033"}, {"ref": "zepina/a-journey-through-titanic-95e817ae", "kernel_id": "108390"}, {"ref": "masakato0922/a-journey-through-titanic", "kernel_id": "111986"}, {"ref": "artie88/titanic-first", "kernel_id": "108054"}, {"ref": "artie88/titanic-second", "kernel_id": "109363"}, {"ref": "artie88/notebookf986589c42", "kernel_id": "109203"}, {"ref": "narandalai/titanic-best-working-classifier", "kernel_id": "168107"}, {"ref": "narandalai/notebooka3b1ee8246", "kernel_id": "165205"}, {"ref": "narandalai/titanic-ml-learning-fun", "kernel_id": "165214"}, {"ref": "narandalai/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "165209"}, {"ref": "narandalai/titanic-best-working-classifier-d12c90b9", "kernel_id": "174367"}, {"ref": "coraine/notebook663401b9a2", "kernel_id": "114906"}, {"ref": "girishp/notebook2cbeb61559", "kernel_id": "229965"}, {"ref": "col726/notebook8ccf5715eb", "kernel_id": "109064"}, {"ref": "col726/notebooka524806bd9", "kernel_id": "109442"}, {"ref": "quazar/titanic", "kernel_id": "108699"}, {"ref": "shashibushan/a-journey-through-titanic", "kernel_id": "110196"}, {"ref": "ashsandhu/a-journey-through-titanic", "kernel_id": "181382"}, {"ref": "ruizhang/first-script-test", "kernel_id": "108198"}, {"ref": "hansky/exploratory-tutorial-titanic", "kernel_id": "109451"}, {"ref": "ag00249/exploring-survival-on-the-titanic", "kernel_id": "108833"}, {"ref": "anushaawesome/titanic-dataset", "kernel_id": "111463"}, {"ref": "junchao/new-script", "kernel_id": "108245"}, {"ref": "sky007/notebookee4d4e1447", "kernel_id": "108293"}, {"ref": "debabhik/notebookd18c6fa279", "kernel_id": "121185"}, {"ref": "debabhik/notebook1ae072882c", "kernel_id": "123646"}, {"ref": "zhangxige/exploratory-tutorial-titanic-fd5dac30", "kernel_id": "111999"}, {"ref": "zhangxige/test1", "kernel_id": "111694"}, {"ref": "rogern/an-interactive-data-science-tutorial", "kernel_id": "211762"}, {"ref": "raghavaulasa/an-interactive-data-science-tutorial", "kernel_id": "183292"}, {"ref": "fabfusco/exploring-survival-on-the-titanic", "kernel_id": "122282"}, {"ref": "peymanramezany/testcomp", "kernel_id": "109071"}, {"ref": "patilvish/test2", "kernel_id": "108425"}, {"ref": "riyazs/a-journey-through-titanic", "kernel_id": "108431"}, {"ref": "tarcisob/predicting-titanic-survivals-initial-version", "kernel_id": "108646"}, {"ref": "drgarg/a-journey-through-titanic", "kernel_id": "128269"}, {"ref": "vinit17/notebook93d24a0012", "kernel_id": "219477"}, {"ref": "magazine2016/test-run", "kernel_id": "108496"}, {"ref": "kangway/notebook38998c551d", "kernel_id": "162714"}, {"ref": "tottinar/notebook79d701c124", "kernel_id": "159624"}, {"ref": "hartungalex24/a-journey-through-titanic", "kernel_id": "108537"}, {"ref": "sykumar/subyugh", "kernel_id": "108560"}, {"ref": "yixvon/notebookf7ea87e490", "kernel_id": "117299"}, {"ref": "cch100m/binary-classification-practice-on-titanic-dataset", "kernel_id": "233925"}, {"ref": "penssion/notebook0b883918f0", "kernel_id": "232677"}, {"ref": "penssion/titantic-try", "kernel_id": "232679"}, {"ref": "penssion/introduction-to-ensembling-stacking-in-python", "kernel_id": "221800"}, {"ref": "eswanswak/a-journey-through-titanic", "kernel_id": "108601"}, {"ref": "vaishnavirao/titanic", "kernel_id": "108628"}, {"ref": "classtag/lr-titanic-classfiler", "kernel_id": "163263"}, {"ref": "yuraaka/yuraaka-notebook", "kernel_id": "108672"}, {"ref": "shibin/a-journey-through-titanic-d628d864", "kernel_id": "109118"}, {"ref": "shibin/a-journey-through-titanic", "kernel_id": "109111"}, {"ref": "kibach/a-journey-through-titanic", "kernel_id": "108910"}, {"ref": "milyas/notebook051b98b60b", "kernel_id": "248551"}, {"ref": "suplicy/a-journey-through-titanic", "kernel_id": "118374"}, {"ref": "felkhayer/a-journey-through-titanic", "kernel_id": "109112"}, {"ref": "felkhayer/notebook6991580767", "kernel_id": "109130"}, {"ref": "dennise/sklearn-runthrough-everybody-need-a-titanic-kernel", "kernel_id": "584021"}, {"ref": "syedm101/notebook8a5522e69d", "kernel_id": "237742"}, {"ref": "yc2984/a-journey-through-titanic", "kernel_id": "139674"}, {"ref": "sunyanfeng/notebook997dd8d71b", "kernel_id": "261830"}, {"ref": "millaradam14/notebookd299dda78c", "kernel_id": "203905"}, {"ref": "gmf3232/notebookf998cde849", "kernel_id": "218082"}, {"ref": "saurabhima/titanic-dataset-analysis", "kernel_id": "231632"}, {"ref": "meikintom/a-journey-through-titanic-e18eaa9b", "kernel_id": "111429"}, {"ref": "meikintom/a-journey-through-titanic", "kernel_id": "110646"}, {"ref": "meikintom/a-journey-through-titanic-244e8b2e", "kernel_id": "112035"}, {"ref": "nicmilligan/train-py", "kernel_id": "108793"}, {"ref": "rohitagarwal/notebookcaf5e902ae", "kernel_id": "136557"}, {"ref": "rohitagarwal/attempt-number-2", "kernel_id": "136627"}, {"ref": "rohitagarwal/attempt-number-1", "kernel_id": "131998"}, {"ref": "dsebban/a-journey-through-titanic", "kernel_id": "113011"}, {"ref": "silent56/notebook092eeb6f50", "kernel_id": "214644"}, {"ref": "lmiadowicz/notebook40bc2af83f", "kernel_id": "161856"}, {"ref": "yiyuchen/notebookc10e431d26", "kernel_id": "118543"}, {"ref": "botao326/notebook5adb11a4e8", "kernel_id": "111337"}, {"ref": "foutik/decision-tree", "kernel_id": "172481"}, {"ref": "cemiller220/notebook8beab78f39", "kernel_id": "222333"}, {"ref": "oswinrh/titanic-datasaster-analysis", "kernel_id": "227825"}, {"ref": "upperwal/main-py", "kernel_id": "111741"}, {"ref": "melodytch/titanic-simple-3-layer-neural-network", "kernel_id": "190506"}, {"ref": "ustcwxn/tiantic-py", "kernel_id": "192907"}, {"ref": "ustcwxn/notebook0f9b789bf9", "kernel_id": "261850"}, {"ref": "ustcwxn/a-journey-through-titanic", "kernel_id": "235754"}, {"ref": "machaxx/machaxx-titanic", "kernel_id": "218562"}, {"ref": "pchoco/a-journey-through-titanic", "kernel_id": "139824"}, {"ref": "pchoco/notebookee773ca8f3", "kernel_id": "109178"}, {"ref": "shumway/fork-of-titanic", "kernel_id": "168754"}, {"ref": "shumway/notebook2abe61e6f8", "kernel_id": "164518"}, {"ref": "kdzpl07/notebook139e29daa3", "kernel_id": "115364"}, {"ref": "xgameboy13x/machine-and-deep-learning-stacking-classifier", "kernel_id": "198590"}, {"ref": "kpoply/firstpr", "kernel_id": "179214"}, {"ref": "makar888/notebook91cadb0d9b", "kernel_id": "152608"}, {"ref": "mathewsavage/notebookd2ecfc8a8c", "kernel_id": "119286"}, {"ref": "grimmace/a-journey-through-titanic", "kernel_id": "109005"}, {"ref": "grimmace/notebook57c2e528f8", "kernel_id": "184999"}, {"ref": "grimmace/a-simple-attempt", "kernel_id": "185357"}, {"ref": "grimmace/notebook6dc943decb", "kernel_id": "185360"}, {"ref": "alikaratana/could-the-titanic-have-been-saved", "kernel_id": "146165"}, {"ref": "alikaratana/could-the-titanic-have-been-saved-4b9e190a", "kernel_id": "146166"}, {"ref": "dakshdrolia376/notebook5ba148e9f5", "kernel_id": "268380"}, {"ref": "dakshdrolia376/my-first-script", "kernel_id": "268382"}, {"ref": "vsibinthomas/notebook1d6d00e873", "kernel_id": "122062"}, {"ref": "souravroy/titanic-survival-prediction-with-keras-acc-84", "kernel_id": "263380"}, {"ref": "tanglegetang/first-try-on-kaggle", "kernel_id": "109056"}, {"ref": "tanglegetang/first", "kernel_id": "109057"}, {"ref": "singharadhana/data-science-titanic-data-set-exploration", "kernel_id": "109058"}, {"ref": "kirankumarchilla/analyzing-titanic-data-survival-rate", "kernel_id": "941467"}, {"ref": "kwaogad/kwaotanic", "kernel_id": "261028"}, {"ref": "am00634/sample-submission-2", "kernel_id": "109935"}, {"ref": "am00634/roughsubmissionusingforest", "kernel_id": "111425"}, {"ref": "am00634/final-anas", "kernel_id": "111468"}, {"ref": "am00634/final-2", "kernel_id": "111477"}, {"ref": "deeksha96/notebook0fab0e143a", "kernel_id": "237264"}, {"ref": "liaohuanyu/a-journey-through-titanic-d3091cc9", "kernel_id": "120971"}, {"ref": "liaohuanyu/notebooka37a7bcd04", "kernel_id": "117443"}, {"ref": "liaohuanyu/a-journey-through-titanic", "kernel_id": "118064"}, {"ref": "avishwakarma2/notebook8989c20020", "kernel_id": "109454"}, {"ref": "yashwanthch/exploring-survival-on-the-titanic", "kernel_id": "145040"}, {"ref": "sakibmoon/solve-titanic-problem", "kernel_id": "114117"}, {"ref": "sakibmoon/notebook110aca77a8", "kernel_id": "110977"}, {"ref": "yangxiaocs/a-journey-through-titanic-2861f5", "kernel_id": "199170"}, {"ref": "jdrobles/notebook2beefe6619", "kernel_id": "215640"}, {"ref": "patilsushant1/a-complete-data-science-work-flow", "kernel_id": "230918"}, {"ref": "vbarney/exploring-survival-on-the-titanic", "kernel_id": "109170"}, {"ref": "rubenvelasco/notebooke09a3d4b23", "kernel_id": "228724"}, {"ref": "andrasgombosi/a-journey-through-titanic", "kernel_id": "112030"}, {"ref": "apointeau/titanic-step-by-step", "kernel_id": "289731"}, {"ref": "fishermanff/notebook91ed643975", "kernel_id": "109489"}, {"ref": "nazlevent/notebook026c3da8c0", "kernel_id": "113265"}, {"ref": "zhangshimeng/notebook644cf9279c", "kernel_id": "113698"}, {"ref": "garnetreds7/exploratory-tutorial-titanic", "kernel_id": "109441"}, {"ref": "garnetreds7/notebook28974837fa", "kernel_id": "109796"}, {"ref": "garnetreds7/svm-titanic", "kernel_id": "113215"}, {"ref": "garnetreds7/exploratory-tutorial-titanic-c911a988", "kernel_id": "110180"}, {"ref": "davidprakash/epochs-or-hidden-nodes", "kernel_id": "176410"}, {"ref": "hctsaie/notebookee50e4ff8c", "kernel_id": "231098"}, {"ref": "achaiah/an-interactive-data-science-tutorial-e67527", "kernel_id": "233024"}, {"ref": "smehta12/a-journey-through-titanic-eabc76bf", "kernel_id": "111260"}, {"ref": "smehta12/a-journey-through-titanic", "kernel_id": "109284"}, {"ref": "cbischke/notebookf0cd378f1c", "kernel_id": "109300"}, {"ref": "cbischke/notebook291cf9f9b6", "kernel_id": "109335"}, {"ref": "fraj08/notebook56b3149902", "kernel_id": "111838"}, {"ref": "swombo/notebookb03dc1b0d5", "kernel_id": "109732"}, {"ref": "fabienric/titanic-best-working-classifier", "kernel_id": "251606"}, {"ref": "bkucey/my-first-kaggle-script", "kernel_id": "109380"}, {"ref": "meitounao/notebooke2ad180737", "kernel_id": "158416"}, {"ref": "meitounao/notebookfc6a88ebcc", "kernel_id": "158418"}, {"ref": "meitounao/notebookfa743ee1b1", "kernel_id": "158428"}, {"ref": "hanahnee/notebooke50b687c36", "kernel_id": "109446"}, {"ref": "helenskaggle/notebook06a6769833", "kernel_id": "199230"}, {"ref": "albertvo/a-journey-through-titanic", "kernel_id": "109433"}, {"ref": "albertvo/a-journey-through-titanic-ba9d3987", "kernel_id": "111896"}, {"ref": "jazzycrazzy/survivor-s-of-titanic", "kernel_id": "109448"}, {"ref": "jazzycrazzy/lucky-survivor-s-of-titanic", "kernel_id": "109453"}, {"ref": "esr350/titanic", "kernel_id": "109461"}, {"ref": "shoubusi/notebooke38922fd40", "kernel_id": "124667"}, {"ref": "ajchristie/an-interactive-data-science-tutorial", "kernel_id": "183903"}, {"ref": "q2zhang/notebook68c97dd327", "kernel_id": "236171"}, {"ref": "autred/kernel-learning", "kernel_id": "256445"}, {"ref": "jainshivani/notebookad5893611e", "kernel_id": "206151"}, {"ref": "mureloy/first1", "kernel_id": "109571"}, {"ref": "mureloy/test1", "kernel_id": "109572"}, {"ref": "mureloy/tanker", "kernel_id": "110170"}, {"ref": "ipercy/get-started", "kernel_id": "189874"}, {"ref": "onurtan/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "167158"}, {"ref": "onurtan/notebook4222818aaf", "kernel_id": "167188"}, {"ref": "just10minutes/notebook767a1bea5e", "kernel_id": "111269"}, {"ref": "just10minutes/exploring-survival-on-the-titanic", "kernel_id": "111210"}, {"ref": "andriuss/a-journey-through-titanic", "kernel_id": "110903"}, {"ref": "andriuss/exploratory-tutorial-titanic-disaster", "kernel_id": "113842"}, {"ref": "andriuss/titanic-best-working-classifier", "kernel_id": "141520"}, {"ref": "andriuss/introduction-to-ensembling-stacking-in-pyth-286199", "kernel_id": "189672"}, {"ref": "andriuss/introduction-to-ensembling-stacking-in-python", "kernel_id": "185729"}, {"ref": "hectoranadon/titanic", "kernel_id": "168916"}, {"ref": "hectoranadon/a-journey-through-titanic", "kernel_id": "168918"}, {"ref": "rmsmith88/notebookaa0c2aa6ad", "kernel_id": "149920"}, {"ref": "sh0m1y/test-script", "kernel_id": "109758"}, {"ref": "manuelepalmeri/notebook4316dd044c", "kernel_id": "109646"}, {"ref": "erikxiang/exploratory-tutorial-titanic", "kernel_id": "113605"}, {"ref": "erikxiang/notebook39cae31660", "kernel_id": "113575"}, {"ref": "kasogi/titanic-tutorial", "kernel_id": "219821"}, {"ref": "hongyesuifeng/a-journey-through-titanic", "kernel_id": "210703"}, {"ref": "hongyesuifeng/notebookd702628b42", "kernel_id": "195983"}, {"ref": "saurabhharsh/first", "kernel_id": "140127"}, {"ref": "flczcdy/exploratory-tutorial-titanic", "kernel_id": "109675"}, {"ref": "sishimwe/notebook913eca3115", "kernel_id": "136903"}, {"ref": "ironfat/a-journey-through-titanic", "kernel_id": "148637"}, {"ref": "ironfat/trying-neural-network", "kernel_id": "270190"}, {"ref": "ktattan/3-layer-neural-network-on-titanic-data", "kernel_id": "487589"}, {"ref": "nachmtz91/notebookfcb306be3f", "kernel_id": "118389"}, {"ref": "neethan/a-journey-through-titanic", "kernel_id": "112285"}, {"ref": "robjm16/notebookc3fd5adaff", "kernel_id": "262188"}, {"ref": "wangyk/test1", "kernel_id": "109791"}, {"ref": "randolphyao007/notebookd3b9b4cd2e", "kernel_id": "122609"}, {"ref": "randolphyao007/notebook777baa94fc", "kernel_id": "123170"}, {"ref": "mitishavaidya/testdata", "kernel_id": "109852"}, {"ref": "waynesu/exploratory-tutorial-titanic", "kernel_id": "111347"}, {"ref": "raymone/exploratory-tutorial-titanic", "kernel_id": "116945"}, {"ref": "raymone/titanic", "kernel_id": "115524"}, {"ref": "rafaelm/notebookb6e575b1d6", "kernel_id": "222783"}, {"ref": "allwin/my-first-decision-tree-titanic-preds", "kernel_id": "145832"}, {"ref": "vignesh2323/notebook9ae34127da", "kernel_id": "273203"}, {"ref": "phimax/a-journey-through-titanic", "kernel_id": "109992"}, {"ref": "mbpatter/notebook610a216553", "kernel_id": "117830"}, {"ref": "attilathepun/firstscript", "kernel_id": "110019"}, {"ref": "toorkp/tmld2018", "kernel_id": "796396"}, {"ref": "sverkot/titanic-survival", "kernel_id": "110031"}, {"ref": "frwjxwx/exploratory-tutorial-titanic", "kernel_id": "112049"}, {"ref": "frwjxwx/titanic-death-decider", "kernel_id": "112093"}, {"ref": "frwjxwx/exploratory-tutorial-titanic-dc41b66d", "kernel_id": "112928"}, {"ref": "kaushik34/titanic-disaster-visualization", "kernel_id": "258621"}, {"ref": "kaushik34/titanic", "kernel_id": "258608"}, {"ref": "kaushik34/titanic-submission", "kernel_id": "258610"}, {"ref": "kaushik34/titanic-datascience", "kernel_id": "258617"}, {"ref": "aarush363/titanic-data-science-solutions", "kernel_id": "265013"}, {"ref": "lmjwilliam/a-journey-through-titanic", "kernel_id": "110274"}, {"ref": "yuesun/titanic-machine-learning-from-disaster", "kernel_id": "123021"}, {"ref": "malygin/a-journey-through-titanic", "kernel_id": "117795"}, {"ref": "malygin/exploratory-tutorial-titanic", "kernel_id": "118838"}, {"ref": "crazyelf/a-journey-through-titanic", "kernel_id": "114979"}, {"ref": "mroverlord/a-journey-through-titanic", "kernel_id": "114067"}, {"ref": "gmgdd10/gmgdd-s-practice", "kernel_id": "111809"}, {"ref": "blandre/random-forest-benchmark-r", "kernel_id": "110107"}, {"ref": "tylerlewis257/notebooke4817d09bd", "kernel_id": "239087"}, {"ref": "garyliu2016/test-on-our-code", "kernel_id": "120874"}, {"ref": "mrmquirk/a-journey-through-titanic", "kernel_id": "183178"}, {"ref": "cindyyao/test1", "kernel_id": "110779"}, {"ref": "jielou/impute-missing-age", "kernel_id": "808686"}, {"ref": "martagajewska/titanic-marta-s-first-try", "kernel_id": "240134"}, {"ref": "martagajewska/notebookefc7b4090c", "kernel_id": "240131"}, {"ref": "lancerliang/a-journey-through-titanic-56032b9e", "kernel_id": "174905"}, {"ref": "lancerliang/notebook847fde1d11", "kernel_id": "159810"}, {"ref": "lancerliang/notebook767612361e", "kernel_id": "159026"}, {"ref": "lancerliang/a-journey-through-titanic", "kernel_id": "159027"}, {"ref": "immorlee/lichengrant-s-notebook-001", "kernel_id": "196758"}, {"ref": "immorlee/notebook0b59a0337a", "kernel_id": "196749"}, {"ref": "ceciliawu12/a-journey-through-titanic", "kernel_id": "116328"}, {"ref": "adhikadhanes/xgboost-example-python", "kernel_id": "118606"}, {"ref": "cherise/exploratory-tutorial-titanic", "kernel_id": "110251"}, {"ref": "atulkamble/notebook99bbc0b0dd", "kernel_id": "203584"}, {"ref": "qumino2/notebooka3fef4f03a", "kernel_id": "110303"}, {"ref": "strabron/introduction-to-ensembling-stacking-in-python", "kernel_id": "252326"}, {"ref": "phynancier/introduction-to-ensembling-stacking-in-python", "kernel_id": "196346"}, {"ref": "phynancier/introduction-to-ensembling-stacking-in-pyth-f266e5", "kernel_id": "196347"}, {"ref": "nursultan/a-journey-through-titanic-nursultan-turdaleiv", "kernel_id": "182301"}, {"ref": "nursultan/nursultan", "kernel_id": "184565"}, {"ref": "urbanvillager/sinking-with-titanic1", "kernel_id": "131098"}, {"ref": "tigerhunt/test1", "kernel_id": "110381"}, {"ref": "tigerhunt/notebookbc7c6e7240", "kernel_id": "111150"}, {"ref": "tigerhunt/test2", "kernel_id": "111157"}, {"ref": "tigerhunt/notebookb879469cf7", "kernel_id": "111134"}, {"ref": "gburke1/introduction-to-ensembling-stacking-in-python", "kernel_id": "186594"}, {"ref": "karimserkhane/a-journey-through-titanic", "kernel_id": "196244"}, {"ref": "karimserkhane/titanic-grid-search-python-v2", "kernel_id": "200444"}, {"ref": "karimserkhane/titanic-random-forest-82-78", "kernel_id": "181242"}, {"ref": "karimserkhane/titanic-random-forest-82-78-0fe119ee", "kernel_id": "181271"}, {"ref": "karimserkhane/random-forest-benchmark-r-3", "kernel_id": "181259"}, {"ref": "supdata/a-journey-through-titanic", "kernel_id": "110405"}, {"ref": "pedroth/mytitanic", "kernel_id": "112975"}, {"ref": "easeward/seward-titanic", "kernel_id": "145924"}, {"ref": "naomi7/naomi", "kernel_id": "110443"}, {"ref": "naomi7/survival-on-the-titanic", "kernel_id": "127218"}, {"ref": "enzocxt/a-journey-through-titanic", "kernel_id": "110765"}, {"ref": "fernandom123/notebook34053d024e", "kernel_id": "130486"}, {"ref": "smithashivakumar/exploratory-tutorial-titanic", "kernel_id": "110485"}, {"ref": "zrythpzhl/notebook300ceb5e4d", "kernel_id": "111608"}, {"ref": "zrythpzhl/a-journey-through-titanic", "kernel_id": "111899"}, {"ref": "docktorrr/exploring-titanic-data", "kernel_id": "114154"}, {"ref": "vutrung96/notebook496944fee4", "kernel_id": "208663"}, {"ref": "vutrung96/titanic-data-science-solutions", "kernel_id": "203340"}, {"ref": "vutrung96/notebook6184e7ad55", "kernel_id": "202751"}, {"ref": "vutrung96/notebook14e7dceba2", "kernel_id": "202787"}, {"ref": "xeeshan/notebook2b0b475195", "kernel_id": "216444"}, {"ref": "lingershaw/a-journey-through-titanic", "kernel_id": "110704"}, {"ref": "jajaguar/learning", "kernel_id": "233532"}, {"ref": "vishaljc77/notebookd1cf15c6d3", "kernel_id": "152492"}, {"ref": "vishaljc77/titanic-learn", "kernel_id": "157467"}, {"ref": "kellyzhao19/notebook368e1f3cf7", "kernel_id": "240892"}, {"ref": "eppe2000/notebook0f22a65e7d", "kernel_id": "247502"}, {"ref": "axaquangdo/axa-s-data-science-training-2016", "kernel_id": "110835"}, {"ref": "mrnewby/getting-started-with-titanic-data-science", "kernel_id": "217986"}, {"ref": "fengliplatform/notebookc8fe381a2a", "kernel_id": "219483"}, {"ref": "justuser/detailed-titanic-analysis-and-solution", "kernel_id": "391781"}, {"ref": "farookseeru3/titanic-random-forest-classifier", "kernel_id": "110883"}, {"ref": "murgev/a-journey-through-titanic-7a06131e", "kernel_id": "144503"}, {"ref": "murgev/kaggle-titanic-001", "kernel_id": "144760"}, {"ref": "murgev/exploratory-tutorial-titanic", "kernel_id": "144764"}, {"ref": "murgev/introduction-to-ensembling-stacking-in-python", "kernel_id": "202471"}, {"ref": "murgev/titanic-best-working-classifier", "kernel_id": "202482"}, {"ref": "murgev/a-journey-through-titanic-7409c4ba", "kernel_id": "130973"}, {"ref": "murgev/a-journey-through-titanic-215266c8", "kernel_id": "130976"}, {"ref": "murgev/a-journey-through-titanic-baba5000", "kernel_id": "134797"}, {"ref": "morriswr/a-journey-through-titanic", "kernel_id": "120853"}, {"ref": "rodrigosalles/titanic-my-step-by-step", "kernel_id": "520474"}, {"ref": "rodrigosalles/zero-data", "kernel_id": "121343"}, {"ref": "tatineni/notebookd452286e27", "kernel_id": "181542"}, {"ref": "tatineni/notebook1-pt", "kernel_id": "181607"}, {"ref": "dothandave/a-journey-through-titanic", "kernel_id": "110969"}, {"ref": "kritsanajan/a-journey-through-titanic", "kernel_id": "110987"}, {"ref": "kritsanajan/a-journey-through-titanic-e4a21043", "kernel_id": "113075"}, {"ref": "kameronkales/a-journey-through-titanic", "kernel_id": "117483"}, {"ref": "alexandrakp/exploring-survival-on-the-titanic", "kernel_id": "112420"}, {"ref": "reboundxu/exploratory-tutorial-titanic", "kernel_id": "111345"}, {"ref": "reboundxu/a-journey-through-titanic", "kernel_id": "113645"}, {"ref": "siyhust/exploring-survival-on-the-titanic", "kernel_id": "115217"}, {"ref": "siyhust/a-journey-through-titanic", "kernel_id": "115218"}, {"ref": "hackman/a-journey-through-titanic", "kernel_id": "111061"}, {"ref": "cheney/a-journey-through-titanic-30b41894", "kernel_id": "132124"}, {"ref": "cheney/a-journey-through-titanic-932fea00", "kernel_id": "135022"}, {"ref": "cheney/a-journey-through-titanic-4af7ca2b", "kernel_id": "136907"}, {"ref": "jimmyfangzhou/titanic-random-forest-jimmy", "kernel_id": "113141"}, {"ref": "jimmyfangzhou/titanic-random-forest", "kernel_id": "113142"}, {"ref": "jimmyfangzhou/titanic-svm", "kernel_id": "120951"}, {"ref": "zhouangjun/titanic-survival-prediction", "kernel_id": "157135"}, {"ref": "zhouangjun/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "156484"}, {"ref": "zhouangjun/titanic-random-forest-82-78", "kernel_id": "175899"}, {"ref": "gappio/rohd1", "kernel_id": "112248"}, {"ref": "jasonc0010/notebook378fe1708b", "kernel_id": "121128"}, {"ref": "smr4849/fork-of-titanic-smr4849-s-first-kernel", "kernel_id": "171713"}, {"ref": "smr4849/titanic-smr4849-s-first-kernel", "kernel_id": "169227"}, {"ref": "smr4849/titanic-smr4849", "kernel_id": "169224"}, {"ref": "mmcodesso/notebookd45ea0d360", "kernel_id": "111557"}, {"ref": "mmcodesso/titanic-data-science-solutions", "kernel_id": "151694"}, {"ref": "mmcodesso/titanic-data-science-solutions-4d59eb43", "kernel_id": "151696"}, {"ref": "mmcodesso/notebook580dc2b489", "kernel_id": "153692"}, {"ref": "sudipto2017/notebook430cf149e7", "kernel_id": "128656"}, {"ref": "navidsaf/notebookb3b00947fc", "kernel_id": "190181"}, {"ref": "sungkim/notebookf1c01a9abb", "kernel_id": "111941"}, {"ref": "natasha23/analysis-on-survival-on-the-titanic", "kernel_id": "793016"}, {"ref": "nandidevi/exploring-survival-on-the-titanic", "kernel_id": "111508"}, {"ref": "andyyang/titanic-survival-project", "kernel_id": "304080"}, {"ref": "tannercarbonati/random-forest-class-salutation-family", "kernel_id": "148108"}, {"ref": "liebycardoso/titanic", "kernel_id": "466271"}, {"ref": "juntang/a-journey-through-titanic", "kernel_id": "151465"}, {"ref": "aitoelearn/a-journey-through-titanic", "kernel_id": "111306"}, {"ref": "nileshag/exploring-survival-on-the-titanic", "kernel_id": "111346"}, {"ref": "faizann20/notebook999f6553f8", "kernel_id": "111328"}, {"ref": "tingwang01/test1", "kernel_id": "111329"}, {"ref": "taruwei0129/a-journey-through-titanic", "kernel_id": "111953"}, {"ref": "taruwei0129/notebook177f9a0074", "kernel_id": "112182"}, {"ref": "kanata/a-journey-through-titanic", "kernel_id": "111359"}, {"ref": "kanata/notebookc1b541b361", "kernel_id": "111395"}, {"ref": "kanata/random-forest-benchmark-r", "kernel_id": "111587"}, {"ref": "kanata/random-forest-benchmark-r-sec", "kernel_id": "111607"}, {"ref": "sumanthbhatt/a-journey-through-titanic", "kernel_id": "112073"}, {"ref": "sumanthbhatt/testrun", "kernel_id": "112763"}, {"ref": "kilifunny/a-journey-through-titanic", "kernel_id": "111412"}, {"ref": "kilifunny/titanic-dnn", "kernel_id": "112548"}, {"ref": "rogercaminal/a-journey-through-titanic-5992d5bf", "kernel_id": "111612"}, {"ref": "therusell/notebook66cb051593", "kernel_id": "111420"}, {"ref": "marcoskurban/mk-titanic-by-pca", "kernel_id": "124560"}, {"ref": "marcoskurban/mk-random-forrest-classifier", "kernel_id": "125093"}, {"ref": "yoland/save-rose", "kernel_id": "114230"}, {"ref": "pjmcintyre/titanic-first-kernel", "kernel_id": "278091"}, {"ref": "huishu/save-rose", "kernel_id": "114203"}, {"ref": "johanna08/python-on-titanic", "kernel_id": "111491"}, {"ref": "wmariusso/xgboost-model-pt-br", "kernel_id": "356583"}, {"ref": "wmariusso/random-forest-e-feature-engineering-pt-br", "kernel_id": "356505"}, {"ref": "wmariusso/decision-tree-e-features-num-ricas-pt-br", "kernel_id": "356377"}, {"ref": "wmariusso/dummyclassifier-e-features-num-ricas-pt-br", "kernel_id": "355686"}, {"ref": "wmariusso/random-forest-e-features-num-ricas-pt-br", "kernel_id": "355719"}, {"ref": "adelmans/titanic-tutorial", "kernel_id": "268285"}, {"ref": "rjwmore/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "164635"}, {"ref": "rjwmore/titanic-data-analysis-and-machine-learning", "kernel_id": "156436"}, {"ref": "rjwmore/notebook988d5ce04b", "kernel_id": "117130"}, {"ref": "rjwmore/python-tutorial-walkthrough", "kernel_id": "117330"}, {"ref": "invert14/my-test", "kernel_id": "120762"}, {"ref": "kabuhakmeh3/titanic-2", "kernel_id": "352023"}, {"ref": "lucifertian2010/notebookf1685be083", "kernel_id": "116781"}, {"ref": "xianfengma/a-journey-through-titanic-2a7acc87", "kernel_id": "116964"}, {"ref": "xianfengma/a-journey-through-titanic-7b53cada", "kernel_id": "116984"}, {"ref": "xianfengma/a-journey-through-titanic-882bf427", "kernel_id": "116985"}, {"ref": "xianfengma/a-journey-through-titanic", "kernel_id": "115414"}, {"ref": "vbhattad/pilot", "kernel_id": "147457"}, {"ref": "june888/a-journey-through-titanic", "kernel_id": "132688"}, {"ref": "june888/fork-of-a-journey-through-titanic", "kernel_id": "132717"}, {"ref": "pratikshit21/notebook2d36d27502", "kernel_id": "112151"}, {"ref": "qichaohuang0307/notebook03abf0fdd0", "kernel_id": "157085"}, {"ref": "qichaohuang0307/a-journey-through-titanic", "kernel_id": "157087"}, {"ref": "mastervan/titanic-machine-learning-from-disaster", "kernel_id": "242943"}, {"ref": "mastervan/try-titanic-problem", "kernel_id": "243954"}, {"ref": "gsugar/notebook4e362790b7", "kernel_id": "207927"}, {"ref": "scutwzm/a-journey-through-titanic", "kernel_id": "115932"}, {"ref": "liu12138/notebook15ac88329a", "kernel_id": "112024"}, {"ref": "ccccchimax/notebookd7145ecef6", "kernel_id": "247350"}, {"ref": "arszero/a-journey-through-titanic", "kernel_id": "196828"}, {"ref": "paoluo/notebooke2df144b2f", "kernel_id": "253119"}, {"ref": "ruchii/notebook0a114efaee", "kernel_id": "113710"}, {"ref": "aayushtuteja/aayush1", "kernel_id": "111794"}, {"ref": "leoparada/notebook5210c69287", "kernel_id": "149083"}, {"ref": "leoparada/notebook9537729489", "kernel_id": "202986"}, {"ref": "clairegroves/notebook0e22162c3e", "kernel_id": "111722"}, {"ref": "clairegroves/notebook2fd158f176", "kernel_id": "116032"}, {"ref": "rrobertson96/the-best-notepad-in-the-world-not", "kernel_id": "111725"}, {"ref": "hjwwilliam/first-try-with-tatanic", "kernel_id": "252071"}, {"ref": "nshakhat/titanicfirststeps", "kernel_id": "113699"}, {"ref": "maksimov11/a-journey-through-titanic", "kernel_id": "122709"}, {"ref": "ec15303/titanic-data-mining", "kernel_id": "131421"}, {"ref": "ec15303/fork-of-titanic", "kernel_id": "128070"}, {"ref": "ec15303/notebookf8515a4634", "kernel_id": "125539"}, {"ref": "st20104068/titanic", "kernel_id": "132368"}, {"ref": "st20104068/notebookfc3308cc39", "kernel_id": "132369"}, {"ref": "st20104068/a-journey-through-titanic", "kernel_id": "138941"}, {"ref": "morda13/notebook1a7820e9b6", "kernel_id": "111806"}, {"ref": "mwitebsky/titanic-random-forrest-pipeline", "kernel_id": "155725"}, {"ref": "pgollakota/a-journey-through-titanic", "kernel_id": "182306"}, {"ref": "nicozheng/notebook7e788662bc", "kernel_id": "120563"}, {"ref": "acconciamessa/titanic-file-run", "kernel_id": "179625"}, {"ref": "juanchis/notebook9abb9956e1", "kernel_id": "132333"}, {"ref": "thalesgaluchi/my-first-kernel-in-titanic", "kernel_id": "126152"}, {"ref": "leonyin/notebook8d5faf3868", "kernel_id": "111877"}, {"ref": "acoder1983/notebookbec588b3de", "kernel_id": "151482"}, {"ref": "beenyoung/titanic", "kernel_id": "317945"}, {"ref": "phongsakornpuap/notebooke1baac0e39", "kernel_id": "190558"}, {"ref": "phongsakornpuap/notebook7d6708f364", "kernel_id": "192666"}, {"ref": "ejaetan/a-journey-through-titanic", "kernel_id": "111969"}, {"ref": "huang41/a-journey-through-titanic", "kernel_id": "111954"}, {"ref": "huang41/example", "kernel_id": "111955"}, {"ref": "arthur92/exploratory-tutorial-titanic", "kernel_id": "112514"}, {"ref": "arthur92/could-the-titanic-have-been-saved", "kernel_id": "112774"}, {"ref": "louicoshaw/titanic-neural-0-080861", "kernel_id": "134855"}, {"ref": "louicoshaw/notebook7eb9bb6ff9", "kernel_id": "135945"}, {"ref": "louicoshaw/titanic-best-working-classifier", "kernel_id": "135946"}, {"ref": "louicoshaw/roy-s-titanic-notebook", "kernel_id": "135950"}, {"ref": "louicoshaw/a-journey-through-titanic", "kernel_id": "135951"}, {"ref": "derrickc/notebook1b7442b319", "kernel_id": "201611"}, {"ref": "wjsutton/exploring-surviving-the-titanic", "kernel_id": "745182"}, {"ref": "stefanneumann/notebook18e1da4eb6", "kernel_id": "120635"}, {"ref": "cckyol/notebookbfd0b8f705", "kernel_id": "197804"}, {"ref": "brianpickrell/a-journey-through-titanic", "kernel_id": "164553"}, {"ref": "enersto/enersto-s-train-model", "kernel_id": "117495"}, {"ref": "rikhard/genetic-programming-lb-0-88", "kernel_id": "119149"}, {"ref": "seanngpengnam/a-journey-through-titanic", "kernel_id": "113555"}, {"ref": "themlenthusiast/titanic", "kernel_id": "128339"}, {"ref": "aayu96/notebookd139b2eba2", "kernel_id": "225394"}, {"ref": "aayu96/notebooke271fb20b2", "kernel_id": "225605"}, {"ref": "xzywisdili/notebook54123209c1", "kernel_id": "213787"}, {"ref": "nburnett32/titanic-tutorial", "kernel_id": "112103"}, {"ref": "silvertess/a-journey-through-titanic", "kernel_id": "112433"}, {"ref": "gergeux/notebook3fbaf9b997", "kernel_id": "264874"}, {"ref": "gergeux/notebook6a42695a98", "kernel_id": "120825"}, {"ref": "m3zhuang/a-journey-through-titanic", "kernel_id": "112959"}, {"ref": "albergs/notebook091de758d8", "kernel_id": "147855"}, {"ref": "albergs/notebookbc020aec12", "kernel_id": "168212"}, {"ref": "albergs/notebook0920043c9d", "kernel_id": "168216"}, {"ref": "jbtronics/notebook0bc8dabeec", "kernel_id": "112240"}, {"ref": "czarleonid/notebookbbdf6cd2ea", "kernel_id": "152038"}, {"ref": "yf22matt/a-journey-through-titanic", "kernel_id": "115820"}, {"ref": "cdoubletrouble/notebookb677a39add", "kernel_id": "112265"}, {"ref": "betaman3/a-journey-through-titanic", "kernel_id": "112286"}, {"ref": "akshaygulhane/a-journey-through-titanic", "kernel_id": "112314"}, {"ref": "yanzhao/notebookb79158894b", "kernel_id": "112318"}, {"ref": "carldotz/a-journey-through-titanic-8ff91161", "kernel_id": "131745"}, {"ref": "carldotz/a-journey-through-titanic", "kernel_id": "131733"}, {"ref": "muraliuppala/notebook1cf237ae4c", "kernel_id": "112324"}, {"ref": "shuai2/notebookdad555b7c6", "kernel_id": "112494"}, {"ref": "shuai2/notebook660ca27538", "kernel_id": "113295"}, {"ref": "shuai2/output", "kernel_id": "114245"}, {"ref": "shuai2/notebook528ef93c57", "kernel_id": "113893"}, {"ref": "shuai2/train", "kernel_id": "113925"}, {"ref": "shuai2/testa", "kernel_id": "113926"}, {"ref": "o00362045/notebookb3b4bf4827", "kernel_id": "112334"}, {"ref": "dhu2015/notebook6aab53ff9c", "kernel_id": "203387"}, {"ref": "dhu2015/notebook62fcf660ee", "kernel_id": "204627"}, {"ref": "succezdi/notebook5301b73d8b", "kernel_id": "202933"}, {"ref": "succezdi/prediction-of-titanic-survivers", "kernel_id": "198976"}, {"ref": "calx925/introduction-to-ensembling-stacking-in-python", "kernel_id": "212100"}, {"ref": "zhuohuawu/a-journey-through-titanic", "kernel_id": "113436"}, {"ref": "samanthajeyakumar/titanic-machine-learning-from-a-disaster", "kernel_id": "116752"}, {"ref": "wonhee/a-journey-through-titanic", "kernel_id": "113539"}, {"ref": "jinsongmu/save-rose", "kernel_id": "114191"}, {"ref": "astatus/notebook76b519d1a7", "kernel_id": "203588"}, {"ref": "astatus/notebookc6a0c27d82", "kernel_id": "203590"}, {"ref": "vibinscat/exploring-survival-on-the-titanic", "kernel_id": "161194"}, {"ref": "ghoshtumpu/notebook9939edc878", "kernel_id": "204316"}, {"ref": "ghoshtumpu/notebook0111933960", "kernel_id": "204318"}, {"ref": "ghoshtumpu/fork-of-fork-of-just-a-rough-logistic-regression-i", "kernel_id": "205148"}, {"ref": "ghoshtumpu/logistic-egression-on-titanic-dataset", "kernel_id": "205042"}, {"ref": "ghoshtumpu/just-a-rough-logistic-regression-in-r", "kernel_id": "205085"}, {"ref": "ghoshtumpu/notebooke0d7f4b1e1", "kernel_id": "205080"}, {"ref": "ghoshtumpu/fork-of-just-a-rough-logistic-regression-in-r", "kernel_id": "205119"}, {"ref": "aparajita9897/titanic-dataset-basic", "kernel_id": "798129"}, {"ref": "pratikpushpendra/pratik-pushpendra-titanic-first", "kernel_id": "212937"}, {"ref": "ziyitony/a-journey-through-titanic", "kernel_id": "133646"}, {"ref": "ziyitony/a-journey-through-titanic-aeb4367c", "kernel_id": "133658"}, {"ref": "clementpl/notebook1df1bbe4d1", "kernel_id": "114422"}, {"ref": "allanshimako/python", "kernel_id": "112607"}, {"ref": "junghyun/decision-tree", "kernel_id": "130240"}, {"ref": "junghyun/lotto", "kernel_id": "117648"}, {"ref": "junghyun/notebook47594801f1", "kernel_id": "117650"}, {"ref": "junghyun/notebookc2ccc94c73", "kernel_id": "117538"}, {"ref": "junghyun/jh-try1", "kernel_id": "118146"}, {"ref": "junghyun/script-try1", "kernel_id": "118148"}, {"ref": "junghyun/titanic-practice1", "kernel_id": "124285"}, {"ref": "junghyun/notebook207503b3b7", "kernel_id": "114009"}, {"ref": "junghyun/notebook051be242ba", "kernel_id": "113951"}, {"ref": "mengfei/a-journey-through-titanic", "kernel_id": "112805"}, {"ref": "hsiungwei/notebookb621bbb587", "kernel_id": "112483"}, {"ref": "tzcloud/a-journey-through-titanic", "kernel_id": "112592"}, {"ref": "theudbald/first-titanic", "kernel_id": "113300"}, {"ref": "theudbald/notebook9c0ff4713f", "kernel_id": "160907"}, {"ref": "ani310/titanic-dataset", "kernel_id": "138198"}, {"ref": "goldenratio3/test12", "kernel_id": "112500"}, {"ref": "ghdeng/notebook85f7a24e3e", "kernel_id": "154173"}, {"ref": "yohei1126/mytest", "kernel_id": "112527"}, {"ref": "skyfun/notebook1cb2efc60f", "kernel_id": "112545"}, {"ref": "skyfun/a-journey-through-titanic", "kernel_id": "130354"}, {"ref": "flyingsuperman/notebook6f33a7990d", "kernel_id": "113163"}, {"ref": "trakjohnson/try-1", "kernel_id": "112577"}, {"ref": "srinivasarajui/srini-s-r-based-titanic-solution", "kernel_id": "112746"}, {"ref": "srinivasarajui/notebooka84e8a58da", "kernel_id": "123172"}, {"ref": "srinivasarajui/notebookb4c5bd88dc", "kernel_id": "118619"}, {"ref": "chenqi00/titanic-passenger-survival", "kernel_id": "113199"}, {"ref": "chenqi00/notebookd8ff10aeeb", "kernel_id": "113227"}, {"ref": "kate911/titanic-testrun", "kernel_id": "112610"}, {"ref": "shafath18/notebookb61f12b42b", "kernel_id": "112689"}, {"ref": "greeshma12/titanic", "kernel_id": "112677"}, {"ref": "ruida4prez/analysis", "kernel_id": "115392"}, {"ref": "geoirene/irene", "kernel_id": "115402"}, {"ref": "asmith370/titanic-tree-using-simple-variable-classifications", "kernel_id": "112718"}, {"ref": "asmith370/notebook361ba52268", "kernel_id": "112988"}, {"ref": "herodragon1990/titanic-truongan", "kernel_id": "122509"}, {"ref": "eistaen/a-journey-through-titanic", "kernel_id": "113741"}, {"ref": "rokywang1987/exploratory-tutorial-titanic", "kernel_id": "113145"}, {"ref": "xushengwei/a-journey-through-titanic", "kernel_id": "134021"}, {"ref": "xushengwei/fork-of-a-journey-through-titanic", "kernel_id": "134279"}, {"ref": "xiaoyanxu/notebookf9bc23eb2f", "kernel_id": "232846"}, {"ref": "xiaoyanxu/titanic-data-science-solutions", "kernel_id": "232847"}, {"ref": "assatayoussef/a-journey-through-titanic", "kernel_id": "113771"}, {"ref": "drbean/notebookd825d8e03d", "kernel_id": "131771"}, {"ref": "drbean/notebookf25530eb4c", "kernel_id": "131759"}, {"ref": "pankajtayade/notebook01b98e3071", "kernel_id": "223505"}, {"ref": "mgjo5899/a-journey-through-titanic", "kernel_id": "159774"}, {"ref": "jonathanfoster/script", "kernel_id": "113159"}, {"ref": "jonathanfoster/notebook9407bf7d85", "kernel_id": "113178"}, {"ref": "ming5536/notebook6583a1e808", "kernel_id": "112837"}, {"ref": "ming5536/exploratory-tutorial-titanic-f8e31826", "kernel_id": "120390"}, {"ref": "ming5536/exploratory-tutorial-titanic", "kernel_id": "119086"}, {"ref": "ming5536/a-journey-through-titanic", "kernel_id": "118274"}, {"ref": "ming5536/a-journey-through-titanic-dcfe8718", "kernel_id": "118532"}, {"ref": "abid0786/data-loading", "kernel_id": "141390"}, {"ref": "sarahdesouky/notebook218c1c73d9", "kernel_id": "268685"}, {"ref": "sarahdesouky/notebookdf9cfdfbc6", "kernel_id": "268688"}, {"ref": "rdm123/notebook8ab93dcb58", "kernel_id": "124802"}, {"ref": "gerardlarkin/titanic-effort", "kernel_id": "228083"}, {"ref": "gerardlarkin/titanic-data-science-solutions", "kernel_id": "228087"}, {"ref": "ddemented/notebook13ea0fce28", "kernel_id": "190860"}, {"ref": "odkolock/notebook6436d05b46", "kernel_id": "205346"}, {"ref": "amuthand/a-titanic-unpredicted-disaster-predicted", "kernel_id": "127883"}, {"ref": "blertty/my-1st", "kernel_id": "116616"}, {"ref": "aldemuro/improve-algorithm-performance-0-80-to-0-83", "kernel_id": "546554"}, {"ref": "aldemuro/comparing-ml-algorithms-train-accuracy-90", "kernel_id": "513881"}, {"ref": "roughwin/a-journey-through-titanic", "kernel_id": "113890"}, {"ref": "roughwin/a-journey-through-titanic-3e756816", "kernel_id": "113907"}, {"ref": "roughwin/a-journey-through-titanic-c35aacd7", "kernel_id": "118774"}, {"ref": "eunjs71/titanic-train", "kernel_id": "112938"}, {"ref": "sinbik/titanic1", "kernel_id": "114413"}, {"ref": "tony1805/exploring-survival-on-the-titanic", "kernel_id": "115675"}, {"ref": "srikanthnamuduri/notebook26a6e7368a", "kernel_id": "129018"}, {"ref": "randal3465/a-journey-through-titanic", "kernel_id": "112967"}, {"ref": "anand271087/a-journey-through-titanic", "kernel_id": "150822"}, {"ref": "tjdford/notebook9be873540d", "kernel_id": "270971"}, {"ref": "znawaz/a-journey-through-titanic", "kernel_id": "113038"}, {"ref": "taniagiri22/titanic-randomforestv1", "kernel_id": "253994"}, {"ref": "lyragg/titanic-test", "kernel_id": "119600"}, {"ref": "arminmohammadi/a-journey-through-titanic", "kernel_id": "113616"}, {"ref": "sabrinelazrak/notebook8be73d428a", "kernel_id": "134467"}, {"ref": "sabrinelazrak/marketing-dataset", "kernel_id": "113136"}, {"ref": "feffen/notebook8b6a933b39", "kernel_id": "113115"}, {"ref": "romannazarov/notebook37195bf835", "kernel_id": "117283"}, {"ref": "romannazarov/a-journey-through-titanic", "kernel_id": "113121"}, {"ref": "romannazarov/a-journey-through-titanic-bf2f3a90", "kernel_id": "116839"}, {"ref": "romannazarov/a-journey-through-titanic-b7913e67", "kernel_id": "116808"}, {"ref": "amberthomas/predicting-survival-on-the-titanic", "kernel_id": "115085"}, {"ref": "tommulkins/notebook5ea1f76d30", "kernel_id": "115772"}, {"ref": "mangomoon/neural-network", "kernel_id": "119003"}, {"ref": "mangomoon/another-titanic-tutorial", "kernel_id": "115363"}, {"ref": "mangomoon/titanic-without-visualizations", "kernel_id": "115822"}, {"ref": "mangomoon/titanic-tutorial", "kernel_id": "113853"}, {"ref": "shaposhnikov/titanic-test-py", "kernel_id": "113402"}, {"ref": "rissonyao/notebook5765c8de1c", "kernel_id": "143476"}, {"ref": "spark007/notebookb3ba6fd156", "kernel_id": "186946"}, {"ref": "fadhiilmuhammad/a-journey-through-titanic-c538f775", "kernel_id": "117681"}, {"ref": "janagrc/a-journey-through-titanic", "kernel_id": "113169"}, {"ref": "yang2217556994/a-journey-through-titanic-21d2bee0", "kernel_id": "162588"}, {"ref": "yang2217556994/a-journey-through-titanic-1a0e6dda", "kernel_id": "162589"}, {"ref": "yang2217556994/a-journey-through-titanic", "kernel_id": "141033"}, {"ref": "yang2217556994/a-journey-through-titanic-c99592d6", "kernel_id": "141044"}, {"ref": "yang2217556994/a-journey-through-titanic-b535e107", "kernel_id": "141045"}, {"ref": "klaimans/notebook9989d0962b", "kernel_id": "118664"}, {"ref": "ellisonliu/a-journey-through-titanic", "kernel_id": "114286"}, {"ref": "ellisonliu/titanic-data-science-solutions", "kernel_id": "171917"}, {"ref": "ellisonliu/a-journey-through-titanic-8ff05ffe", "kernel_id": "171982"}, {"ref": "waka21/randomforest-r", "kernel_id": "189316"}, {"ref": "weilai/notebook17-3-13", "kernel_id": "204355"}, {"ref": "hellofreid/notebook99b0e31083", "kernel_id": "134088"}, {"ref": "hellofreid/a-journey-through-titanic", "kernel_id": "134096"}, {"ref": "jpsingh/juvenile-prediction", "kernel_id": "143385"}, {"ref": "limbercheng/introduction-to-ensembling-stacking-in-python", "kernel_id": "189452"}, {"ref": "foreverart/live-or-die", "kernel_id": "113919"}, {"ref": "dphiggs01/notebook785117ed8c", "kernel_id": "113701"}, {"ref": "dphiggs01/titanic-evaluation", "kernel_id": "113718"}, {"ref": "dphiggs01/fork-of-titanic-evaluation", "kernel_id": "125342"}, {"ref": "arthurherbout/notebookc5b89eeca5", "kernel_id": "115209"}, {"ref": "arthurherbout/notebooka653036c6d", "kernel_id": "115188"}, {"ref": "arthurherbout/folds-how-to-optimize-cross-validation", "kernel_id": "139833"}, {"ref": "arthurherbout/titanic-preprocessing-the-data-first-methods", "kernel_id": "139625"}, {"ref": "arthurherbout/folds-library", "kernel_id": "141200"}, {"ref": "arthurherbout/fork-of-folds-how-to-optimize-cross-validation", "kernel_id": "141192"}, {"ref": "arthurherbout/titanic-svm", "kernel_id": "141189"}, {"ref": "arthurherbout/notebook2b251cbc66", "kernel_id": "144142"}, {"ref": "garybake/notebook41ab40db46", "kernel_id": "226581"}, {"ref": "onefishy/notebook9ff0fbfdda", "kernel_id": "115759"}, {"ref": "terenteh/notebook88369c6878", "kernel_id": "115003"}, {"ref": "stefebnou/titanic-with-ml", "kernel_id": "221291"}, {"ref": "xuecong/notebook6b79d5a5b2", "kernel_id": "124014"}, {"ref": "xuecong/xue25", "kernel_id": "122476"}, {"ref": "vasanthegde/exploratory-tutorial-titanic", "kernel_id": "116408"}, {"ref": "vasanthegde/a-journey-through-titanic", "kernel_id": "116450"}, {"ref": "mrazzano/notebookbd9f162e72", "kernel_id": "115781"}, {"ref": "axajmleoni/exploratory-tutorial-titanic", "kernel_id": "113393"}, {"ref": "tamadp/survival-data-from-the-titanic", "kernel_id": "113464"}, {"ref": "mdaille/exploratory-tutorial-titanic-disaster", "kernel_id": "113886"}, {"ref": "purplecandy/titanicforestthree", "kernel_id": "114177"}, {"ref": "purplecandy/titanicforestone", "kernel_id": "114169"}, {"ref": "purplecandy/notebookef2d216d3c", "kernel_id": "114173"}, {"ref": "purplecandy/titanicforesttwo", "kernel_id": "114174"}, {"ref": "kolonis/a-journey-through-titanic-b85a4b00", "kernel_id": "113787"}, {"ref": "dleibovi/titanic", "kernel_id": "211571"}, {"ref": "hywu0110/titanic-best-working-classifier", "kernel_id": "140603"}, {"ref": "hywu0110/titanic-best-working-classifier-12916b43", "kernel_id": "140606"}, {"ref": "jaredn/a-journey-through-titanic", "kernel_id": "113491"}, {"ref": "ptr106/notebook7b3d554d54", "kernel_id": "116535"}, {"ref": "ptr106/pconnolly-titanic", "kernel_id": "116536"}, {"ref": "ptr106/a-journey-through-titanic", "kernel_id": "115465"}, {"ref": "ptr106/titanic", "kernel_id": "113504"}, {"ref": "princewang1994/notebookf8d3003a05", "kernel_id": "119340"}, {"ref": "yeswanth4599/notebookd483de6925", "kernel_id": "114725"}, {"ref": "tyagvaishnav/exploring-survival-on-the-titanic", "kernel_id": "113694"}, {"ref": "jlafaye/notebook318dc478c0", "kernel_id": "113670"}, {"ref": "kiranbaktha/titanic-survival-analysis", "kernel_id": "113615"}, {"ref": "sergesotnyk/notebook7760e846ed", "kernel_id": "119926"}, {"ref": "rodrigopalhares/notebookc0a8f68027", "kernel_id": "113733"}, {"ref": "rajvarun/who-can-survivetitanic", "kernel_id": "118443"}, {"ref": "desouza32/notebook0b6230e1de", "kernel_id": "200708"}, {"ref": "desouza32/notebookdb6b9b630f", "kernel_id": "201954"}, {"ref": "lucasparreiras/notebook0bc0d0b61a", "kernel_id": "223737"}, {"ref": "rbsilva/rodrigo-s-titanic", "kernel_id": "137727"}, {"ref": "fpolimen/exploratory-tutorial-titanic-disaster", "kernel_id": "115293"}, {"ref": "kazmi001/exploratory-tutorial-titanic-disaster", "kernel_id": "113792"}, {"ref": "sbasu276/notebookf6eafe5930", "kernel_id": "271195"}, {"ref": "susheel01/titaniclearningqi", "kernel_id": "242968"}, {"ref": "yj7082126/a-journey-through-titanic", "kernel_id": "144188"}, {"ref": "yj7082126/notebook17f0605172", "kernel_id": "144205"}, {"ref": "yj7082126/rediscovering-titanic", "kernel_id": "144324"}, {"ref": "cimynfine/exploring-survival-on-the-titanic", "kernel_id": "116921"}, {"ref": "kriankbee/notebookd857dd127d", "kernel_id": "275210"}, {"ref": "bobertkins/notebook1d9265bec6", "kernel_id": "173618"}, {"ref": "moshams/a-journey-through-titanic", "kernel_id": "113873"}, {"ref": "viveel/titanic-data-science-solutions", "kernel_id": "231853"}, {"ref": "litingguang/exploring-survival-on-the-titanic", "kernel_id": "124549"}, {"ref": "leoguo/hellojessica", "kernel_id": "113882"}, {"ref": "gauravgada/titanic-logistic-regression-model", "kernel_id": "193511"}, {"ref": "breitner/an-interactive-data-science-tutorial", "kernel_id": "211098"}, {"ref": "asaflevi1983a/asaf-try", "kernel_id": "121507"}, {"ref": "enverfakhan/a-journey-through-titanic", "kernel_id": "120208"}, {"ref": "caogang440/first-titanic-problem", "kernel_id": "122850"}, {"ref": "caogang440/notebookbcc12e9343", "kernel_id": "113980"}, {"ref": "caogang440/test1", "kernel_id": "113981"}, {"ref": "joan14/notebook6b197b4fe8", "kernel_id": "131104"}, {"ref": "aforest/fork-of-titanic-practice", "kernel_id": "118843"}, {"ref": "aforest/titanic-practice", "kernel_id": "114280"}, {"ref": "aforest/fork-of-titanic-practice-8597c267", "kernel_id": "171665"}, {"ref": "jankaifer/my-titan-ic", "kernel_id": "202521"}, {"ref": "thefinal/asdfgq", "kernel_id": "118096"}, {"ref": "thefinal/notebookcaaa593241", "kernel_id": "118098"}, {"ref": "thefinal/notebook0f8b7937f7", "kernel_id": "117652"}, {"ref": "thefinal/asdfq", "kernel_id": "117653"}, {"ref": "thefinal/sdfadsf", "kernel_id": "117654"}, {"ref": "maulberto3/a-journey-through-titanic", "kernel_id": "118528"}, {"ref": "juvatsana/titanic-machine-learning-from-a-disaster-e9089d22", "kernel_id": "114163"}, {"ref": "juvatsana/titanic-machine-learning-from-a-disaster", "kernel_id": "114142"}, {"ref": "cyndis/notebook1198f960b7", "kernel_id": "216825"}, {"ref": "cyndis/notebook7ecb4a0a39", "kernel_id": "114135"}, {"ref": "cyndis/exploratory-tutorial-titanic-disaster", "kernel_id": "114188"}, {"ref": "cyndis/exploratory-tutorial-titanic-78de157a", "kernel_id": "114930"}, {"ref": "sriramoman/notebooke88bd19c1c", "kernel_id": "114133"}, {"ref": "victorarkley/notebook10a631c852", "kernel_id": "114148"}, {"ref": "fossouodonald/titanic-machine-learning-from-a-disaster", "kernel_id": "114372"}, {"ref": "fossouodonald/test-notebook-1", "kernel_id": "114459"}, {"ref": "chimney42/titanic", "kernel_id": "114210"}, {"ref": "exzamp/titanic", "kernel_id": "263769"}, {"ref": "exzamp/notebook34b19e0a2b", "kernel_id": "263757"}, {"ref": "exzamp/notebook8a2c7b4d1c", "kernel_id": "263764"}, {"ref": "saare15/notebook23c09c3a85", "kernel_id": "226837"}, {"ref": "aminulhaque/train", "kernel_id": "114213"}, {"ref": "li15771936905/notebook89d88ab1d7", "kernel_id": "150489"}, {"ref": "nicort/notebook9665632d00", "kernel_id": "114299"}, {"ref": "miteshag/basic-test", "kernel_id": "114392"}, {"ref": "throne/notebookdaad4f7a6c", "kernel_id": "139807"}, {"ref": "priyankab01/a-journey-through-titanic", "kernel_id": "145933"}, {"ref": "wayne999/a-simple-genetic-programming", "kernel_id": "143604"}, {"ref": "vanityaha/notebook67c5eb4f21", "kernel_id": "136977"}, {"ref": "lancelotholmes/a-journey-through-titanic", "kernel_id": "181790"}, {"ref": "benoitmatet/notebooke5d99cfa4a", "kernel_id": "222226"}, {"ref": "prayasjain/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "167267"}, {"ref": "aaksh731/first-try", "kernel_id": "114740"}, {"ref": "thileepan/testt", "kernel_id": "118304"}, {"ref": "divyakantyadav/notebook428b27e13a", "kernel_id": "238418"}, {"ref": "irinaebert/a-journey-through-titanic", "kernel_id": "115206"}, {"ref": "louisdeng/exploring-survival-on-the-titanic", "kernel_id": "169062"}, {"ref": "manzilmalla/predicting-survival-on-the-titanic-bm", "kernel_id": "125438"}, {"ref": "brandonjin/first", "kernel_id": "114547"}, {"ref": "arunsrivatsa3/a-journey-through-titanic", "kernel_id": "133214"}, {"ref": "eseosa101/exploratory-tutorial-titanic-disaster", "kernel_id": "114577"}, {"ref": "blanco123/titanic", "kernel_id": "339655"}, {"ref": "tchen21/notebook6770b4a510", "kernel_id": "152081"}, {"ref": "tchen21/notebook98b092bd60", "kernel_id": "155774"}, {"ref": "tchen21/notebookbc78665571", "kernel_id": "165706"}, {"ref": "tchen21/introduction-to-ensembling-stacking-in-python", "kernel_id": "184047"}, {"ref": "sagidavidovitch/notebook11d65bbe18", "kernel_id": "157888"}, {"ref": "jianguangg/a-journey-through-titanic", "kernel_id": "114668"}, {"ref": "oizoken/notebookfefd3dd571", "kernel_id": "114679"}, {"ref": "shawnv/a-journey-through-titanic", "kernel_id": "116520"}, {"ref": "negation/notebookcd3f7b3e18", "kernel_id": "118456"}, {"ref": "wangshuo0225/a-journey-through-titanic", "kernel_id": "129895"}, {"ref": "wangshuo0225/get-hands-dirty-from-titanic", "kernel_id": "129899"}, {"ref": "wendyhz2hu/a-journey-through-titanic-93991b7e", "kernel_id": "125201"}, {"ref": "akikos/notebook6eccaad7ef", "kernel_id": "126791"}, {"ref": "born2code/an-interactive-data-science-tutorial", "kernel_id": "265394"}, {"ref": "ryantillis/how-to-survive-the-titanic-a-data-voyage", "kernel_id": "116242"}, {"ref": "binarycom/notebookbae4ad0540", "kernel_id": "115903"}, {"ref": "nurulh0291/a-journey-through-titanic", "kernel_id": "118755"}, {"ref": "origindot/notebookacc538d45c", "kernel_id": "118153"}, {"ref": "origindot/scikit-learn-ml-from-start-to-finish-a4a964", "kernel_id": "360356"}, {"ref": "harithat/a-journey-through-titanic", "kernel_id": "117564"}, {"ref": "samsan/exploring-survival-on-the-titanic", "kernel_id": "128545"}, {"ref": "bogdanbmdg/exploratory-tutorial-titanic-disaster", "kernel_id": "115255"}, {"ref": "markuslang/predicting-survivorship-with-deep-learning-ann", "kernel_id": "507710"}, {"ref": "kagglewizard/compute", "kernel_id": "114849"}, {"ref": "tdiliii/introduction-to-ensembling-stacking-in-python", "kernel_id": "191457"}, {"ref": "tdiliii/a-journey-through-titanic-c0dc5a", "kernel_id": "190905"}, {"ref": "tdiliii/a-journey-through-titanic", "kernel_id": "129916"}, {"ref": "tdiliii/test-py", "kernel_id": "129935"}, {"ref": "lagzda/titanic-disaster", "kernel_id": "114874"}, {"ref": "manojsubramanyam/exploratory-tutorial-titanic-disaster", "kernel_id": "115567"}, {"ref": "keithjohnson/a-journey-through-titanic", "kernel_id": "115794"}, {"ref": "dexter22/testing", "kernel_id": "154169"}, {"ref": "gedrox/titanic", "kernel_id": "115516"}, {"ref": "skamrani/exploratory-tutorial-titanic-disaster", "kernel_id": "114900"}, {"ref": "cmac1980/cmtest", "kernel_id": "260845"}, {"ref": "psonkar/notebookd055260bb7", "kernel_id": "230835"}, {"ref": "psonkar/notebookdda9b731a5", "kernel_id": "230675"}, {"ref": "swasswa/titanic-trial-2", "kernel_id": "138707"}, {"ref": "giannigianni/notebookc99c86dd19", "kernel_id": "115170"}, {"ref": "ktothed/a-journey-through-titanic", "kernel_id": "119990"}, {"ref": "nikitavemuri/notebooke7ec114533", "kernel_id": "145767"}, {"ref": "pcminers/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "170740"}, {"ref": "pcminers/an-interactive-data-science-tutorial", "kernel_id": "170741"}, {"ref": "pcminers/r-solution-gender-survival", "kernel_id": "116825"}, {"ref": "pcminers/new-python", "kernel_id": "116812"}, {"ref": "pcminers/exploring-survival-on-the-titanic", "kernel_id": "115161"}, {"ref": "pcminers/notebookeaee7d3579", "kernel_id": "115162"}, {"ref": "pcminers/titanic-survival", "kernel_id": "119762"}, {"ref": "mondregon/notebook87b8c3d1a3", "kernel_id": "181630"}, {"ref": "mondregon/titanic-practice", "kernel_id": "181633"}, {"ref": "mniswwj/titanic-machine-learning-from-disaster", "kernel_id": "168195"}, {"ref": "andresanayaisaza/an-interactive-data-science-tutorial", "kernel_id": "220466"}, {"ref": "databolism/exploratory-tutorial-titanic-0ffebbec", "kernel_id": "116975"}, {"ref": "jaicky/notebook1c9d7c2898", "kernel_id": "205390"}, {"ref": "jaicky/notebookc868006235", "kernel_id": "205391"}, {"ref": "jaicky/notebook5fa7f6f4d5", "kernel_id": "205383"}, {"ref": "jaicky/notebookb38d475097", "kernel_id": "205364"}, {"ref": "jaicky/notebook43555a3411", "kernel_id": "205375"}, {"ref": "jaicky/notebook51a77cb942", "kernel_id": "205454"}, {"ref": "jaicky/notebookec11b97f66", "kernel_id": "205404"}, {"ref": "jaicky/notebook8ea32f67e0", "kernel_id": "199399"}, {"ref": "noahzhang1115/notebook735efc2b97", "kernel_id": "115200"}, {"ref": "ysjanssen89/an-interactive-data-science-tutorial", "kernel_id": "175161"}, {"ref": "ysjanssen89/an-interactive-data-science-tutorial-a55c7ce7", "kernel_id": "175162"}, {"ref": "kacky24/exploring-survival-on-the-titanic", "kernel_id": "115993"}, {"ref": "limustc/a-journey-through-titanic", "kernel_id": "137373"}, {"ref": "jonycse/notebook90ad0cd131", "kernel_id": "223035"}, {"ref": "winduprasetya/firstscript", "kernel_id": "115236"}, {"ref": "voldun/a-journey-through-titanic", "kernel_id": "115264"}, {"ref": "gsoujanya/titanic", "kernel_id": "195154"}, {"ref": "erettic/notebookb3ba40d096", "kernel_id": "183081"}, {"ref": "erettic/notebook5715a93c16", "kernel_id": "183084"}, {"ref": "mathieulornac/playing-with-the-titanic-dataset", "kernel_id": "140447"}, {"ref": "debabratam/titanic-first", "kernel_id": "189441"}, {"ref": "naveennafee/titanic-survival", "kernel_id": "443781"}, {"ref": "usamabilal/titanic-data-science-solutions", "kernel_id": "202634"}, {"ref": "wmrsara/notebookad946d6394", "kernel_id": "116950"}, {"ref": "wmrsara/first", "kernel_id": "115275"}, {"ref": "wmrsara/a-journey-through-titanic", "kernel_id": "118089"}, {"ref": "cp5767/t-i-t-n-i-c", "kernel_id": "115311"}, {"ref": "divyasp/trial", "kernel_id": "262052"}, {"ref": "playfulphilosopher/predicting-who-survived", "kernel_id": "115571"}, {"ref": "venky5186/exploratory-tutorial-titanic-disaster", "kernel_id": "115348"}, {"ref": "venky5186/notebook8bb9bdc501", "kernel_id": "262947"}, {"ref": "minglibrian/train", "kernel_id": "173894"}, {"ref": "dorigrv/test-dgrv", "kernel_id": "115378"}, {"ref": "emperoraugust/titanic", "kernel_id": "249741"}, {"ref": "hari2007/survival", "kernel_id": "115419"}, {"ref": "thanhson10f/exploring-survival-on-the-titanic", "kernel_id": "115440"}, {"ref": "zhaoyan/notebookb9383f39ef", "kernel_id": "117510"}, {"ref": "aaronli/exploratory-tutorial-titanic", "kernel_id": "116278"}, {"ref": "vohren/decision-tree-visualization-submission24", "kernel_id": "162189"}, {"ref": "vohren/decision-tree-visualization-submission", "kernel_id": "162125"}, {"ref": "saithejosh/a-journey-through-titanic", "kernel_id": "121573"}, {"ref": "arthursong/notebookbeecfd7842", "kernel_id": "131860"}, {"ref": "angell/notebookfc6e074b8d", "kernel_id": "215289"}, {"ref": "chesters99/titanic-random-forest", "kernel_id": "116105"}, {"ref": "chesters99/titanic-using-svm-classifierx", "kernel_id": "116344"}, {"ref": "vv4zir/a-journey-through-titanic-7820a9d4", "kernel_id": "139103"}, {"ref": "duanxg/a-journey-through-titanic", "kernel_id": "123333"}, {"ref": "duanxg/a-journey-through-titanic-befc7c16", "kernel_id": "123334"}, {"ref": "pandaru/notebookfaaeb0da48", "kernel_id": "208760"}, {"ref": "prazek/notebookdda275e6a8", "kernel_id": "115556"}, {"ref": "shenxiaoming/a-journey-through-titanic", "kernel_id": "117590"}, {"ref": "sarneey/handling-missing-values-in-python", "kernel_id": "184850"}, {"ref": "aflubin/an-interactive-data-science-tutorial", "kernel_id": "181126"}, {"ref": "martinbrogren/martinpythontest", "kernel_id": "115623"}, {"ref": "anantab/notebookbc40243041", "kernel_id": "115625"}, {"ref": "glmoura/titanic-competition", "kernel_id": "116777"}, {"ref": "nischalgiriyan/a-journey-through-titanic", "kernel_id": "124821"}, {"ref": "ptconsoli/titanic", "kernel_id": "168734"}, {"ref": "rainydata/notebook2a28ddbc9e", "kernel_id": "115671"}, {"ref": "rainydata/chris-first-model", "kernel_id": "115897"}, {"ref": "rainydata/fork-of-chris-first-model", "kernel_id": "182081"}, {"ref": "marvinlemos/random-forest-benchmark-r", "kernel_id": "135226"}, {"ref": "marvinlemos/notebook9c7708ebad", "kernel_id": "120759"}, {"ref": "sidiney/random-forest-benchmark-r", "kernel_id": "135263"}, {"ref": "jamcarwal/exploring-survival-on-the-titanic", "kernel_id": "121379"}, {"ref": "aignatyev/notebooked81a4d4ed", "kernel_id": "235421"}, {"ref": "achillonc/notebook62d6eae515", "kernel_id": "115811"}, {"ref": "wafabenaissa/titanic-data-science-solutions", "kernel_id": "162911"}, {"ref": "bluemachine/predicting-chances-of-survival-on-the-titanic", "kernel_id": "215066"}, {"ref": "chakradb/notebook93f89a6323", "kernel_id": "228480"}, {"ref": "chakradb/notebookf0021250ec", "kernel_id": "228790"}, {"ref": "jscotthaviland/titanic-survival-prediction", "kernel_id": "598532"}, {"ref": "rojarmoore/titanic-data-science-solutions", "kernel_id": "222646"}, {"ref": "cac815/titanic", "kernel_id": "116503"}, {"ref": "tallbrian/can-brian-survive-the-titanic", "kernel_id": "115879"}, {"ref": "tallbrian/a-journey-through-titanic-4bbaeb0d", "kernel_id": "116290"}, {"ref": "jin3137/notebook5839c9aa7c", "kernel_id": "122010"}, {"ref": "wangggong/a-classifier-of-titanic", "kernel_id": "122397"}, {"ref": "gmayank32/titanic-survived-model-random-forest", "kernel_id": "227834"}, {"ref": "gmayank32/roy-s-titanic-notebook", "kernel_id": "128593"}, {"ref": "gmayank32/survivalmodel", "kernel_id": "128583"}, {"ref": "gmayank32/notebookbb95f5733e", "kernel_id": "116125"}, {"ref": "krupan/exploring-survival-on-the-titanic", "kernel_id": "135443"}, {"ref": "kennakanishi/a-journey-through-titanic", "kernel_id": "124161"}, {"ref": "nubatama/predict-titanic-dataset-by-svm-rbf-kernel", "kernel_id": "128466"}, {"ref": "pheonix3/notebookcbfee69124", "kernel_id": "120040"}, {"ref": "selflearning/script", "kernel_id": "272296"}, {"ref": "darrellulm/titanic-data-science-solutions-test-run", "kernel_id": "210943"}, {"ref": "darrellulm/a-journey-through-titanic", "kernel_id": "222541"}, {"ref": "darrellulm/titanic-simplify", "kernel_id": "223344"}, {"ref": "x09072993/exploring-survival-on-the-titanic", "kernel_id": "184351"}, {"ref": "x09072993/titanic-logistic-regression-75", "kernel_id": "181336"}, {"ref": "akoufakis/notebookd2c3c8b533", "kernel_id": "116095"}, {"ref": "brucexhl/notebook329737c4d1", "kernel_id": "238317"}, {"ref": "coderdennis/titanic-random-forest", "kernel_id": "116559"}, {"ref": "hectgs/titanic-data-science-solutions", "kernel_id": "185566"}, {"ref": "miyung/titanic-machine-learning-from-disaster", "kernel_id": "235783"}, {"ref": "pankajsy/ttttt", "kernel_id": "116217"}, {"ref": "pankajsy/exploring-survival-on-the-titanic", "kernel_id": "116214"}, {"ref": "adisingh/notebookad2a8ee66d", "kernel_id": "237851"}, {"ref": "xlock5/hello-tt", "kernel_id": "142890"}, {"ref": "wt26895454/a-journey-through-titanic", "kernel_id": "116267"}, {"ref": "minsooshin/notebookdf069b3a53", "kernel_id": "116340"}, {"ref": "sellanevo/a-journey-through-titanic", "kernel_id": "118215"}, {"ref": "tchikamori/titanic-modeling-by-tc", "kernel_id": "116368"}, {"ref": "keambar/notebook6aa3097a30", "kernel_id": "119786"}, {"ref": "bibhuti93/titanic-analysis-v1-0", "kernel_id": "245958"}, {"ref": "tcxb1234/notebook4c2c146093", "kernel_id": "159537"}, {"ref": "adrienv/titanic-visualization-and-prediction", "kernel_id": "458287"}, {"ref": "ameyashanbhag/notebook52dc7ea04b", "kernel_id": "203766"}, {"ref": "ameyashanbhag/titanic-problem", "kernel_id": "203767"}, {"ref": "youptimmer/a-journey-through-titanic", "kernel_id": "117919"}, {"ref": "tchiappisi/titanic-practice-with-scikit-learn", "kernel_id": "156852"}, {"ref": "kylekyyang/titaniclearningqi-777ffb", "kernel_id": "246674"}, {"ref": "kylekyyang/titaniclearningqi", "kernel_id": "246670"}, {"ref": "pierreydumas/exploring-survival-on-the-titanic", "kernel_id": "132072"}, {"ref": "anubhutim1/titanic-survival-genderclass-model", "kernel_id": "121381"}, {"ref": "anubhutim1/titanic-practice-code", "kernel_id": "118676"}, {"ref": "gray2000/notebook40d7c0e385", "kernel_id": "116842"}, {"ref": "bonniewu/exploratory-tutorial-titanic", "kernel_id": "116515"}, {"ref": "mmvalado/an-interactive-data-science-tutorial", "kernel_id": "170424"}, {"ref": "amanullahtariq/a-journey-through-titanic", "kernel_id": "138337"}, {"ref": "seven5/notebooka5bdff88cd", "kernel_id": "118658"}, {"ref": "seven5/jackk", "kernel_id": "118661"}, {"ref": "seven5/notebookfb1f13d81b", "kernel_id": "118662"}, {"ref": "waelouf/notebook6dfe0ebd5d", "kernel_id": "116565"}, {"ref": "protik77/titanic-test", "kernel_id": "117930"}, {"ref": "aravinthrejee/notebook066979b469", "kernel_id": "117232"}, {"ref": "immanuel/titanic-survival-prediction", "kernel_id": "310396"}, {"ref": "zhuoliliang/a-journey-through-titanic", "kernel_id": "151224"}, {"ref": "zhuoliliang/zhuolititanicanalysis", "kernel_id": "151199"}, {"ref": "zhuoliliang/fork-dense-highway-neural-network-for-titanic", "kernel_id": "152973"}, {"ref": "ya1379/titanic-first-try", "kernel_id": "125158"}, {"ref": "herbertchen/notebookfa9d33bde8", "kernel_id": "163961"}, {"ref": "shenwilly/a-journey-through-titanic-4bb71781", "kernel_id": "173922"}, {"ref": "shenwilly/first-test", "kernel_id": "216644"}, {"ref": "shenwilly/notebook4f7644cbf9", "kernel_id": "216627"}, {"ref": "shenwilly/a-journey-through-titanic", "kernel_id": "116668"}, {"ref": "diegogonzalo/notebook127e37e1e5", "kernel_id": "121724"}, {"ref": "mam23n/a-journey-through-titanic", "kernel_id": "124217"}, {"ref": "revolution4all/titanic-machine-learning-from-disaster-2", "kernel_id": "134287"}, {"ref": "revolution4all/titanic-machine-learning-from-disaster-3", "kernel_id": "134290"}, {"ref": "marcovaccari95/a-journey-through-titanic", "kernel_id": "116691"}, {"ref": "bcirillo/notebooke4313a6e76", "kernel_id": "116710"}, {"ref": "wendigodata/notebook3aa554a357", "kernel_id": "122249"}, {"ref": "wendigodata/predicting-survival-on-the-titanic", "kernel_id": "122278"}, {"ref": "xiaochuanyu/a-journey-through-titanic", "kernel_id": "116741"}, {"ref": "xiaochuanyu/a-journey-through-titanic-a1aef7e6", "kernel_id": "116926"}, {"ref": "supratikdatta/a-journey-through-titanic", "kernel_id": "136706"}, {"ref": "olivender/first-try", "kernel_id": "120862"}, {"ref": "olivender/notebook1a70fae200", "kernel_id": "116748"}, {"ref": "olegtereshkin/genetic-programming-r-example", "kernel_id": "138940"}, {"ref": "jvd777/a-journey-through-titanic", "kernel_id": "116775"}, {"ref": "lzzzfelipe/titanic-modelling", "kernel_id": "123536"}, {"ref": "chendan08/exploratory-tutorial-titanic", "kernel_id": "133945"}, {"ref": "jessejtf/notebook5cec8309fd", "kernel_id": "228381"}, {"ref": "pandaqc/binary-classification-and-newfoundland-s-icebergs", "kernel_id": "288581"}, {"ref": "shredmore/a-journey-through-titanic", "kernel_id": "118015"}, {"ref": "ranjith786/model-comparison-sklearn", "kernel_id": "121227"}, {"ref": "ranjith786/my-adventures-with-machine-learning", "kernel_id": "121481"}, {"ref": "ranjith786/titanic-basics", "kernel_id": "122082"}, {"ref": "ranjith786/titanic-insights", "kernel_id": "120931"}, {"ref": "ranjith786/random-forest", "kernel_id": "120985"}, {"ref": "ranjith786/titanic-basic", "kernel_id": "184379"}, {"ref": "ranjith786/feb-2-improvement", "kernel_id": "184187"}, {"ref": "ranjith786/notebookf8c1caf496", "kernel_id": "183096"}, {"ref": "ranjith786/a-journey-through-titanic-feb-2017", "kernel_id": "183092"}, {"ref": "nileshagarwal/a-journey-through-titanic", "kernel_id": "118591"}, {"ref": "lsunden/titanic-random-forest-82-78", "kernel_id": "179651"}, {"ref": "ramkumarj/notebook07b3e115f9", "kernel_id": "120327"}, {"ref": "nanakchand/notebookaca1825c75", "kernel_id": "117556"}, {"ref": "bmftw1/exploring-survival-on-the-titanic", "kernel_id": "117034"}, {"ref": "seyyedmohammadrazavi/titanic-using-distance-metric-learning", "kernel_id": "117024"}, {"ref": "seyyedmohammadrazavi/logistic-regression-titanic", "kernel_id": "117090"}, {"ref": "seyyedmohammadrazavi/linear-svm", "kernel_id": "123226"}, {"ref": "seyyedmohammadrazavi/random-forest-titanic", "kernel_id": "117744"}, {"ref": "seyyedmohammadrazavi/randomforest-titanic", "kernel_id": "117732"}, {"ref": "seyyedmohammadrazavi/mlptitanic", "kernel_id": "117724"}, {"ref": "seyyedmohammadrazavi/mlp-titanic", "kernel_id": "117675"}, {"ref": "seyyedmohammadrazavi/svc-titanic", "kernel_id": "117673"}, {"ref": "seyyedmohammadrazavi/without-balance", "kernel_id": "119757"}, {"ref": "seyyedmohammadrazavi/heuristic", "kernel_id": "119743"}, {"ref": "nehanagpure/notebook4b434af28a", "kernel_id": "120517"}, {"ref": "liampark/sdfdf", "kernel_id": "117187"}, {"ref": "justinians/titanic", "kernel_id": "708330"}, {"ref": "napsa0125/familiarising", "kernel_id": "130767"}, {"ref": "yhf20071/exploring-survival-on-the-titanic", "kernel_id": "211214"}, {"ref": "mokryak/titanic", "kernel_id": "223682"}, {"ref": "julesb/notebookf5e5399cd4", "kernel_id": "230468"}, {"ref": "oportaluppi/notebook6d354c71c3", "kernel_id": "140699"}, {"ref": "alicegu/a-journey-through-titanic", "kernel_id": "117157"}, {"ref": "paulsari/test-titanic", "kernel_id": "176640"}, {"ref": "paulsari/notebookc63afc15b5", "kernel_id": "175157"}, {"ref": "twilightblue/notebook82cd246904", "kernel_id": "217422"}, {"ref": "tjbaur/exploring-survival-on-the-titanic", "kernel_id": "236558"}, {"ref": "florenceherve/titanic-data-visualization-ml", "kernel_id": "148376"}, {"ref": "florenceherve/a-journey-through-titanic", "kernel_id": "117245"}, {"ref": "yananik/notebook8d04a0daca", "kernel_id": "192963"}, {"ref": "iliachatz/titanic-ilia", "kernel_id": "137818"}, {"ref": "vchada/an-interactive-data-science-tutorial", "kernel_id": "211901"}, {"ref": "meenag420/notebook7d0d68cb16", "kernel_id": "186058"}, {"ref": "crkowale/a-journey-through-titanic", "kernel_id": "191208"}, {"ref": "geoffbacon/a-journey-through-titanic", "kernel_id": "117492"}, {"ref": "zouboyun/testdataimport", "kernel_id": "117487"}, {"ref": "caryli/a-journey-through-titanic-61cb3e16", "kernel_id": "124858"}, {"ref": "akshaycap/notebookb6a0743e80", "kernel_id": "117551"}, {"ref": "antonmalyshev/a-journey-through-titanic", "kernel_id": "118729"}, {"ref": "enpeizhao/a-journey-through-titanic", "kernel_id": "117580"}, {"ref": "enpeizhao/fork-of-a-journey-through-titanic", "kernel_id": "123730"}, {"ref": "enpeizhao/notebookc46ec300cd", "kernel_id": "123767"}, {"ref": "supritig/notebook8ad4d008cc", "kernel_id": "261164"}, {"ref": "mismael/titanic-1", "kernel_id": "118621"}, {"ref": "phl218/notebook2e80a6f424", "kernel_id": "117599"}, {"ref": "poojamangla/ml-from-titanic-disaster", "kernel_id": "138778"}, {"ref": "cherrywan/notebookb0337269ec", "kernel_id": "266110"}, {"ref": "cherrywan/titanic-disaster", "kernel_id": "266117"}, {"ref": "keyelhun/notebook9946cb23eb", "kernel_id": "117631"}, {"ref": "huiyingjiang/notebook7ccab32f10", "kernel_id": "136644"}, {"ref": "huiyingjiang/notebookddfe74ce75", "kernel_id": "138296"}, {"ref": "abinghu/a-journey-through-titanic", "kernel_id": "117671"}, {"ref": "avvero/notebookf1c3bab7c5", "kernel_id": "156328"}, {"ref": "avvero/fork-of-nothing-special", "kernel_id": "181125"}, {"ref": "avvero/nothing-special", "kernel_id": "181112"}, {"ref": "avvero/notebook46a7087a65", "kernel_id": "181117"}, {"ref": "sowbarani/crossing-the-first-kaggle-kernels-with-titanic", "kernel_id": "207587"}, {"ref": "sfdn00/1tryff", "kernel_id": "121221"}, {"ref": "lacijmoricz/notebook0cd58731d5", "kernel_id": "119001"}, {"ref": "tester4dm/random-forest-benchmark-r", "kernel_id": "120266"}, {"ref": "brillliantz/a-journey-through-titanic", "kernel_id": "167512"}, {"ref": "naini05/titanic-voyage-of-life", "kernel_id": "122635"}, {"ref": "monkeydth/a-journey-through-titanic", "kernel_id": "124668"}, {"ref": "monkeydth/my-notebook", "kernel_id": "124752"}, {"ref": "tfpauley/sample", "kernel_id": "117791"}, {"ref": "tfpauley/titanic-best-working-classifier", "kernel_id": "168510"}, {"ref": "ewoodford/my-first", "kernel_id": "122696"}, {"ref": "herseyb/notebookc3c072c523", "kernel_id": "125803"}, {"ref": "herseyb/test-notebook2", "kernel_id": "164475"}, {"ref": "captainpetarrgh/a-journey-through-titanic", "kernel_id": "118444"}, {"ref": "reddisanjeevkumar/notebook8dc6e5752c", "kernel_id": "135045"}, {"ref": "henryeeeminer/exploring-survival-on-the-titanic", "kernel_id": "132295"}, {"ref": "xueyingzhang/titanic-data-science-solutions", "kernel_id": "212610"}, {"ref": "collindching/titanic-sink-or-swim", "kernel_id": "356716"}, {"ref": "jonathanlord/notebook2b8fe8f55f", "kernel_id": "118020"}, {"ref": "jonathanlord/notebook1a58ef3ed2", "kernel_id": "121782"}, {"ref": "matteh/learning-ml", "kernel_id": "117935"}, {"ref": "garcin/notebookc0fce38a5c", "kernel_id": "119481"}, {"ref": "garcin/garcin", "kernel_id": "119483"}, {"ref": "jbridge/default", "kernel_id": "213431"}, {"ref": "emetdan/a-journey-through-titanic", "kernel_id": "117998"}, {"ref": "emetdan/frist-kaggle-script", "kernel_id": "119175"}, {"ref": "emetdan/titanic-first-notebook", "kernel_id": "120121"}, {"ref": "hockeybro12/notebookd3635751ca", "kernel_id": "148051"}, {"ref": "hockeybro12/beginnertitanic", "kernel_id": "148056"}, {"ref": "zenev0/notebookbef1bb14cd", "kernel_id": "118082"}, {"ref": "heerok/notebook604999ada5", "kernel_id": "118059"}, {"ref": "pfmiller1/notebook51972f8b2e", "kernel_id": "120254"}, {"ref": "duxiangping/sassed", "kernel_id": "132793"}, {"ref": "isaacinyang/a-journey-through-titanic", "kernel_id": "125376"}, {"ref": "ppereira/a-journey-through-titanic", "kernel_id": "182728"}, {"ref": "datamuscleup/titanic", "kernel_id": "118141"}, {"ref": "elatie/first", "kernel_id": "118209"}, {"ref": "abbasali/kaggle1", "kernel_id": "232555"}, {"ref": "innnns/tnghks-random123", "kernel_id": "123229"}, {"ref": "innnns/tnghks-dicide", "kernel_id": "122477"}, {"ref": "innnns/tntnghks123", "kernel_id": "122443"}, {"ref": "innnns/tntnghks123123", "kernel_id": "122448"}, {"ref": "innnns/tntnghks", "kernel_id": "122428"}, {"ref": "rmailindra/notebook7764dcbd27", "kernel_id": "130201"}, {"ref": "fredriklillejordet/beginning", "kernel_id": "175262"}, {"ref": "fredriklillejordet/simple-python-solution", "kernel_id": "175737"}, {"ref": "zaidzidane/notebook28c1dd9177", "kernel_id": "264696"}, {"ref": "zaidzidane/notebookdb4ef62fb8", "kernel_id": "273173"}, {"ref": "zaidzidane/notebooka937add314", "kernel_id": "292257"}, {"ref": "sangyongjia/a-journey-through-titanic", "kernel_id": "118715"}, {"ref": "kenwat/a-journey-through-titanic", "kernel_id": "120075"}, {"ref": "rupeshwadibhasme/genetic-programming-lb-0-88-forked", "kernel_id": "123702"}, {"ref": "aneesh297/notebookf8acb252dc", "kernel_id": "254269"}, {"ref": "davidretana/data-preparation-and-several-models-approach", "kernel_id": "539763"}, {"ref": "aakritikumar/titanic-comparison-of-classifiers", "kernel_id": "124807"}, {"ref": "teodoraaleksic/notebooka5e566a3e7", "kernel_id": "134446"}, {"ref": "teodoraaleksic/notebook47ae4ce6a7", "kernel_id": "134448"}, {"ref": "teodoraaleksic/fork-of-i-will-go-down-with-this-ship-8c169273", "kernel_id": "150760"}, {"ref": "teodoraaleksic/notebook0a30b53110", "kernel_id": "143759"}, {"ref": "teodoraaleksic/fork-of-i-will-go-down-with-this-ship", "kernel_id": "145340"}, {"ref": "teodoraaleksic/i-will-go-down-with-this-ship-script", "kernel_id": "160947"}, {"ref": "teodoraaleksic/fork-of-i-will-go-down-with-this-ship-49566b00", "kernel_id": "161702"}, {"ref": "roscaiosif/notebook93f2a921b3", "kernel_id": "163724"}, {"ref": "roscaiosif/notebook1060e03e7a", "kernel_id": "118386"}, {"ref": "saptarockz/titanic", "kernel_id": "118315"}, {"ref": "mstath1s/a-journey-through-titanic", "kernel_id": "118674"}, {"ref": "awowen/a-journey-through-titanic", "kernel_id": "154991"}, {"ref": "viraltank/the-titanic", "kernel_id": "204346"}, {"ref": "jinselove/exploring-survival-on-the-titanic", "kernel_id": "123930"}, {"ref": "jinselove/notebook680d86d335", "kernel_id": "118407"}, {"ref": "pranavhonrao9/notebookdcb504657f", "kernel_id": "183168"}, {"ref": "rccypher/kaggle-titanic-001", "kernel_id": "137158"}, {"ref": "rccypher/notebook6a3711636a", "kernel_id": "137413"}, {"ref": "jeffricards/notebookcf3e16b7fb", "kernel_id": "118435"}, {"ref": "cwd251/notebook7823244a04", "kernel_id": "135296"}, {"ref": "jmoore5/titanic", "kernel_id": "118463"}, {"ref": "logicalmind/first-script", "kernel_id": "119162"}, {"ref": "paulonascimento/notebookfb833efccb", "kernel_id": "171257"}, {"ref": "peaceplusone/titanic-disaster", "kernel_id": "122897"}, {"ref": "chenwanqq/titanic", "kernel_id": "148865"}, {"ref": "mingkim/notebook6400839648", "kernel_id": "242212"}, {"ref": "mingkim/notebook3c2b329668", "kernel_id": "242213"}, {"ref": "naveen44/titanic-survival-prediction-random-forest-xgb-etc", "kernel_id": "287638"}, {"ref": "bmwhetter/a-journey-through-titanic", "kernel_id": "182419"}, {"ref": "lecanyu/a-journey-through-titanic-d46471dc", "kernel_id": "118697"}, {"ref": "xunder/notebook74bd815f34", "kernel_id": "223518"}, {"ref": "aarun1811/notebook2125d9ee46", "kernel_id": "122541"}, {"ref": "aarun1811/first-logistic-regression", "kernel_id": "136736"}, {"ref": "dajwkndwanjkawnak/test1", "kernel_id": "118716"}, {"ref": "spuaratana/notebook7fd0ce66ad", "kernel_id": "120200"}, {"ref": "spuaratana/first", "kernel_id": "120206"}, {"ref": "spuaratana/second", "kernel_id": "120207"}, {"ref": "goblin/titanic-test", "kernel_id": "144231"}, {"ref": "goblin/tinatic-random-forest-test", "kernel_id": "144243"}, {"ref": "rmartinez32/a-journey-through-titanic", "kernel_id": "143672"}, {"ref": "scooterbooyz/notebookd0cfd54f97", "kernel_id": "118837"}, {"ref": "scooterbooyz/notebooka9fbbbdd12", "kernel_id": "130456"}, {"ref": "kevinchenjin/notebookfe1c1b5409", "kernel_id": "215205"}, {"ref": "davidlemoine/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "152729"}, {"ref": "davidlemoine/first-titanic-submission-with-svm", "kernel_id": "170710"}, {"ref": "davidlemoine/an-interactive-data-science-tutorial", "kernel_id": "170713"}, {"ref": "davidlemoine/titanic-maritime-machine-learning", "kernel_id": "175086"}, {"ref": "davidlemoine/titanic-maritime-machine-learning-de628054", "kernel_id": "175870"}, {"ref": "hanania/based-on-genetic-programming-lb", "kernel_id": "204288"}, {"ref": "mustafabalayl/a-journey-through-titanic", "kernel_id": "118839"}, {"ref": "chenroot/fork-of-a-journey-through-titanic", "kernel_id": "119644"}, {"ref": "chenroot/a-journey-through-titanic", "kernel_id": "119586"}, {"ref": "mariecs/notebookee38a6c41a", "kernel_id": "131437"}, {"ref": "dataminers2016/notebookd80abe2b3d", "kernel_id": "125385"}, {"ref": "dataminers2016/roy-s-titanic-notebook", "kernel_id": "131720"}, {"ref": "dataminers2016/kaggle-competition-titanic-survival", "kernel_id": "131728"}, {"ref": "dataminers2016/notebookc6ef605641", "kernel_id": "123433"}, {"ref": "dataminers2016/notebook41435ee619", "kernel_id": "123261"}, {"ref": "sonali147/notebook06653dd61d", "kernel_id": "135973"}, {"ref": "ryanleigh410/titanic-data-science-solutions-a1c990", "kernel_id": "221478"}, {"ref": "luissuall/titanic-models-assemble", "kernel_id": "138435"}, {"ref": "gpacheco/a-journey-through-titanic-97655ca6", "kernel_id": "181441"}, {"ref": "eibanezm/family-engineering-in-titanic-s-dataset", "kernel_id": "130668"}, {"ref": "eibanezm/fork-of-family-engineering-in-titanic-s-dataset", "kernel_id": "134594"}, {"ref": "venessalobo/titanic-dataset-analysis", "kernel_id": "190282"}, {"ref": "vitorzanatta/a-journey-through-titanic", "kernel_id": "118967"}, {"ref": "jueshi/a-journey-through-titanic", "kernel_id": "118964"}, {"ref": "ryanchenlee/a-journey-through-titanic", "kernel_id": "119070"}, {"ref": "faytang7/notebook97cb5f735c", "kernel_id": "238302"}, {"ref": "guser21/a-journey-through-titanic", "kernel_id": "128502"}, {"ref": "huihu7987/exploring-titanic-data", "kernel_id": "157407"}, {"ref": "huihu7987/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "155715"}, {"ref": "sasha406/sasha-titanic", "kernel_id": "119497"}, {"ref": "tariq1981/notebook116a6fd1dc", "kernel_id": "249802"}, {"ref": "yuan55jia/a-journey-through-titanic-55583eca", "kernel_id": "126710"}, {"ref": "rshda96/a-journey-through-titanic", "kernel_id": "120884"}, {"ref": "buregab/titanic-dataset-first-pass", "kernel_id": "262622"}, {"ref": "jaeyoonpark/feature-engineering-data-imputation-80-86", "kernel_id": "180251"}, {"ref": "jaeyoonpark/randomforest-feature-eng-imputation-titanic", "kernel_id": "167165"}, {"ref": "muralin/notebook43d4d22e92", "kernel_id": "119217"}, {"ref": "peachball/titanictest", "kernel_id": "243528"}, {"ref": "sfrancis/script1", "kernel_id": "119612"}, {"ref": "kevinjoe/titanic", "kernel_id": "134749"}, {"ref": "zhuscat/a-journey-through-titanic", "kernel_id": "119176"}, {"ref": "zhuscat/a-journey-through-titanic-a3da84cd", "kernel_id": "119317"}, {"ref": "zhuscat/a-journey-through-titanic-92c5c85b", "kernel_id": "119324"}, {"ref": "zhuscat/a-journey-through-titanic-a87585b3", "kernel_id": "130263"}, {"ref": "pypycaca/titanic-survival-discovery", "kernel_id": "121115"}, {"ref": "brtmnstr/a-journey-through-titanic", "kernel_id": "122796"}, {"ref": "akjayant007/random-forest-benchmark-r", "kernel_id": "155403"}, {"ref": "tivdnbos/a-journey-through-titanic-e1711acb", "kernel_id": "123862"}, {"ref": "tivdnbos/a-journey-through-titanic", "kernel_id": "119260"}, {"ref": "tivdnbos/a-journey-through-titanic-e41a41a9", "kernel_id": "119342"}, {"ref": "tobiasdirksen/titanic-test", "kernel_id": "119310"}, {"ref": "tobiasdirksen/titanic-survivors", "kernel_id": "119285"}, {"ref": "titaniclovesk/titanic-prediction", "kernel_id": "121237"}, {"ref": "leonmak/a-journey-through-titanic", "kernel_id": "151430"}, {"ref": "leonmak/titanic-data-science-solutions", "kernel_id": "150447"}, {"ref": "asgard/randomforest", "kernel_id": "122602"}, {"ref": "asgard/notebook91bd1faada", "kernel_id": "122603"}, {"ref": "ksymoens/first-attempt-in-pyhton", "kernel_id": "233025"}, {"ref": "amitschang/notebook521e07f090", "kernel_id": "165504"}, {"ref": "pluraldatum/titanic-analysis", "kernel_id": "119400"}, {"ref": "leslieowen/test1", "kernel_id": "121651"}, {"ref": "leslieowen/test1-lzw", "kernel_id": "123200"}, {"ref": "leslieowen/notebook6e415e365e", "kernel_id": "134132"}, {"ref": "leslieowen/notebookaa183b3518", "kernel_id": "134939"}, {"ref": "hirenjani/hiren-titanic-disaster", "kernel_id": "119379"}, {"ref": "jakerutterford/notebook1fa211c3cf", "kernel_id": "132194"}, {"ref": "sazk0786/helaaje", "kernel_id": "119358"}, {"ref": "pierre54/titanic-mix-of-techniques", "kernel_id": "127673"}, {"ref": "pierre54/titanic-mix-of-techniques-explanations", "kernel_id": "127667"}, {"ref": "abahl88/titanic-survival-analysis", "kernel_id": "268629"}, {"ref": "abahl88/titanic-disaster-survival-analysis", "kernel_id": "268632"}, {"ref": "marypoppins/titanic-example", "kernel_id": "472739"}, {"ref": "rakeshr4/training", "kernel_id": "119418"}, {"ref": "rakeshr4/testing", "kernel_id": "119423"}, {"ref": "rakeshr4/notebook672dac3aeb", "kernel_id": "119420"}, {"ref": "thomkim/notebooke46f2911ff", "kernel_id": "119547"}, {"ref": "jsvpandya/first-script-titanic-survivor", "kernel_id": "150737"}, {"ref": "jsvpandya/first-script-titanic-survivor2", "kernel_id": "150741"}, {"ref": "jsvpandya/titanic-data-exploration", "kernel_id": "150684"}, {"ref": "andrewnewbound/exploring-survival-on-the-titanic", "kernel_id": "119490"}, {"ref": "iagomr/a-journey-through-titanic", "kernel_id": "119529"}, {"ref": "cigink/titanic-survival", "kernel_id": "264303"}, {"ref": "florandomforest/to-survive-or-not-to-survive", "kernel_id": "119524"}, {"ref": "florandomforest/il-faut-un-d-but-tout", "kernel_id": "119509"}, {"ref": "kcsplays/my-first-python-script", "kernel_id": "120171"}, {"ref": "lzhao1217/notebook9e012b3fed", "kernel_id": "124248"}, {"ref": "lzhao1217/a-journey-through-titanic", "kernel_id": "125187"}, {"ref": "lzhao1217/notebooka8b9a29bfb", "kernel_id": "138711"}, {"ref": "lzhao1217/titanic-machine-learning-from-disaster", "kernel_id": "139724"}, {"ref": "raghavendrab/xgboost-example-python", "kernel_id": "123411"}, {"ref": "mikedplace/notebook94d65126ec", "kernel_id": "226981"}, {"ref": "mikedplace/titanic", "kernel_id": "226982"}, {"ref": "manjeetsingh/decision-tree-to-predict-survivals", "kernel_id": "395821"}, {"ref": "seungjooli/a-journey-through-titanic", "kernel_id": "121103"}, {"ref": "yanivh/titanic-randomforestclassifier", "kernel_id": "294808"}, {"ref": "nitalp/a-journey-through-titanic", "kernel_id": "119643"}, {"ref": "shanyanmei/titanic-exp", "kernel_id": "119715"}, {"ref": "nielsb/untitled", "kernel_id": "120823"}, {"ref": "nuniemsis/notebookbefaeb2bcb", "kernel_id": "130695"}, {"ref": "superklevy/notebook58177a1883", "kernel_id": "119795"}, {"ref": "abhishekchhibber/predicting-titanic-survivors-through-knn-and", "kernel_id": "164183"}, {"ref": "abhishekchhibber/predicting-titanic-survival-using-knn", "kernel_id": "164943"}, {"ref": "felixquinton/titanic-best-working-classifier-1393f5b5", "kernel_id": "155957"}, {"ref": "felixquinton/titanic-best-working-classifier", "kernel_id": "149391"}, {"ref": "felixquinton/notebook918290fcc8", "kernel_id": "148556"}, {"ref": "christineaylett/fork-of-exploring-the-titanic", "kernel_id": "248704"}, {"ref": "christineaylett/exploring-the-titanic", "kernel_id": "245429"}, {"ref": "themrmuh/notebook8fa35dff2f", "kernel_id": "216928"}, {"ref": "tannerdietrich/a-journey-through-titanic", "kernel_id": "119897"}, {"ref": "hosseinzakizadeh/zakizadeh", "kernel_id": "194346"}, {"ref": "jelenasparic/a-journey-through-titanic", "kernel_id": "195991"}, {"ref": "weifoo/test00", "kernel_id": "119935"}, {"ref": "ranaalisaeed/fitting-tree-pruned-rf-bagging-to-titanic", "kernel_id": "139043"}, {"ref": "ranaalisaeed/a-journey-through-titanic", "kernel_id": "120912"}, {"ref": "mediumpulp/a-journey-through-titanic", "kernel_id": "119959"}, {"ref": "leeon10/tit-start", "kernel_id": "120396"}, {"ref": "yogesh3042/notebookfa067d5b09", "kernel_id": "263273"}, {"ref": "grigor/notebook23f0608ec9", "kernel_id": "120133"}, {"ref": "grigor/a-journey-through-titanic", "kernel_id": "123292"}, {"ref": "deeplearningnfl/titanic-passenger-survival", "kernel_id": "123328"}, {"ref": "deeplearningnfl/exploratory-tutorial-titanic", "kernel_id": "123329"}, {"ref": "kedarbcs16/a-journey-through-titanic", "kernel_id": "158619"}, {"ref": "oreddo/hahaha", "kernel_id": "120058"}, {"ref": "oreddo/a-journey-through-titanic", "kernel_id": "120049"}, {"ref": "oreddo/exploring-survival-on-the-titanic", "kernel_id": "120050"}, {"ref": "ananya45/partial-dependence-plots-e56e4a", "kernel_id": "902204"}, {"ref": "freedjango/notebookd6c57f35dc", "kernel_id": "220389"}, {"ref": "freedjango/notebooked209b69d1", "kernel_id": "222004"}, {"ref": "waykole/notebook3ce50d0f01", "kernel_id": "187042"}, {"ref": "waykole/titanic-data-science-solutions", "kernel_id": "187043"}, {"ref": "waykole/notebook0a823f4aeb", "kernel_id": "187135"}, {"ref": "waykole/notebookb83c48d8f6", "kernel_id": "186351"}, {"ref": "waykole/an-interactive-data-science-tutorial", "kernel_id": "186357"}, {"ref": "waykole/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "186358"}, {"ref": "sradha/titanic-problem", "kernel_id": "160633"}, {"ref": "tnaduc/notebook9be52f43c9", "kernel_id": "267850"}, {"ref": "karnakarthoorpu/titanic-analysis-r", "kernel_id": "134228"}, {"ref": "karnakarthoorpu/titanicanalysis-r", "kernel_id": "134275"}, {"ref": "killerqueen/notebookbb26457ec4", "kernel_id": "129240"}, {"ref": "killerqueen/fork-of-notebookbb26457ec4", "kernel_id": "129245"}, {"ref": "csjustin/notebook8f78bd1422", "kernel_id": "122538"}, {"ref": "csjustin/titanic-analysis", "kernel_id": "122543"}, {"ref": "magnusoverby/notebookad75f86db8", "kernel_id": "131161"}, {"ref": "magnusoverby/notebook84b19d2cf5", "kernel_id": "134383"}, {"ref": "magnusoverby/magnus-titanic", "kernel_id": "134384"}, {"ref": "magnusoverby/magnustitanicnotebook", "kernel_id": "134387"}, {"ref": "djkaggle/notebook6eca782808", "kernel_id": "126543"}, {"ref": "zhouhao12345/zhouhao", "kernel_id": "122070"}, {"ref": "zhouhao12345/notebook14d4cd6f95", "kernel_id": "122065"}, {"ref": "zhouhao12345/notebook13dd758ad4", "kernel_id": "122432"}, {"ref": "zhouhao12345/notebook9df25fa496", "kernel_id": "121442"}, {"ref": "zhouhao12345/notebook072f5176f0", "kernel_id": "124149"}, {"ref": "jim644/a-journey-through-titanic", "kernel_id": "121868"}, {"ref": "libing1003/test1-by-lyf", "kernel_id": "130375"}, {"ref": "justindatascience/titanic", "kernel_id": "120442"}, {"ref": "fominss/a-journey-through-titanic", "kernel_id": "133718"}, {"ref": "barneys/notebook84c1268a74", "kernel_id": "203488"}, {"ref": "dangermc/that-sinking-feeling", "kernel_id": "426124"}, {"ref": "cjia1989/notebook4478ca8330", "kernel_id": "120656"}, {"ref": "petetanru/titanic-tutorial", "kernel_id": "120545"}, {"ref": "petetanru/notebookafb7a14d00", "kernel_id": "120533"}, {"ref": "jixunchen/introduction-to-ensembling-stacking-in-python", "kernel_id": "185941"}, {"ref": "jixunchen/titanic-random-forest-82-78", "kernel_id": "185053"}, {"ref": "jixunchen/titanic-data-science-solutions", "kernel_id": "185490"}, {"ref": "pranavsid/analyzing-the-titanic-disaster", "kernel_id": "122204"}, {"ref": "booligoosh/a-journey-through-titanic", "kernel_id": "120496"}, {"ref": "tomfloyer/notebook33818e9f66", "kernel_id": "188338"}, {"ref": "garmik/a-journey-through-titanic", "kernel_id": "120815"}, {"ref": "kmmaller/titanic-survival-predictions", "kernel_id": "178019"}, {"ref": "kmmaller/notebook2cdc428e1a", "kernel_id": "178016"}, {"ref": "kmmaller/notebook6b35012423", "kernel_id": "178919"}, {"ref": "kmmaller/fork-of-titanic-survival-predictions", "kernel_id": "178921"}, {"ref": "abhidec1/myfirstsubmissionusingrandonforest", "kernel_id": "365376"}, {"ref": "markwh1te/a-journey-through-titanic-d51abf22", "kernel_id": "163016"}, {"ref": "markwh1te/a-journey-through-titanic", "kernel_id": "162409"}, {"ref": "thammasorn/notebook4e7c494ba5", "kernel_id": "182587"}, {"ref": "thammasorn/notebooka5a6184ea9", "kernel_id": "182589"}, {"ref": "cloudly/script-v1", "kernel_id": "140493"}, {"ref": "yuvaraj073/a-journey-through-titanic", "kernel_id": "120788"}, {"ref": "prajeeshag/exploring-survival-on-the-titanic", "kernel_id": "120617"}, {"ref": "kojich/notebook11a3186779", "kernel_id": "120820"}, {"ref": "amitbasuri123/notebook4dee249a1c", "kernel_id": "193690"}, {"ref": "amitbasuri123/titanic-data-science-solutions", "kernel_id": "204171"}, {"ref": "amitbasuri123/titanic-machine-learning-from-disaster", "kernel_id": "204168"}, {"ref": "vivekdatanalyst/notebookffb0da7753", "kernel_id": "160063"}, {"ref": "shadoe/titanic-testwwwww", "kernel_id": "137415"}, {"ref": "shadoe/roy-s-titanic-notebook-b142cd25", "kernel_id": "138387"}, {"ref": "shadoe/roy-s-titanic-notebook-ef613094", "kernel_id": "138389"}, {"ref": "shadoe/roy-s-titanic-notebook-d4326813", "kernel_id": "138351"}, {"ref": "shadoe/titanic-test", "kernel_id": "122373"}, {"ref": "shadoe/a-journey-through-titanic", "kernel_id": "122144"}, {"ref": "shadoe/kernel", "kernel_id": "135075"}, {"ref": "shadoe/roy-s-titanic-notebook", "kernel_id": "135085"}, {"ref": "cemgoktug/test1", "kernel_id": "203641"}, {"ref": "sadathanwar17/notebook4d20238cc0", "kernel_id": "148925"}, {"ref": "flynsequeira/notebook7b7e8afc5e", "kernel_id": "231093"}, {"ref": "pecooper/knn-test", "kernel_id": "189937"}, {"ref": "geow812/notebook5e4aa58601", "kernel_id": "135681"}, {"ref": "geow812/notebook98a0097d5f", "kernel_id": "220003"}, {"ref": "geow812/titanic-with-logistic-regression", "kernel_id": "220005"}, {"ref": "escholdlinner/notebooke77d27236b", "kernel_id": "141404"}, {"ref": "anoopgupta166/scikit-learn-ml-from-start-to-finish", "kernel_id": "247448"}, {"ref": "daverace/a-journey-through-titanic", "kernel_id": "120828"}, {"ref": "wenbocao/titanic-prediction-excercise2", "kernel_id": "400462"}, {"ref": "jacksonkuo/exploring-survival-on-the-titanic", "kernel_id": "257824"}, {"ref": "msantos68/exploring-survival-on-the-titanic", "kernel_id": "120793"}, {"ref": "yasaman/a-journey-through-titanic-36851d58", "kernel_id": "140889"}, {"ref": "yasaman/a-journey-through-titanic", "kernel_id": "140869"}, {"ref": "praneetm/notebook910459bc23", "kernel_id": "221755"}, {"ref": "nforde/notebookf3d050ee48", "kernel_id": "121342"}, {"ref": "sreekarg/a-journey-through-titanic", "kernel_id": "127490"}, {"ref": "acosmic36/notebook4c8cb0b931", "kernel_id": "128998"}, {"ref": "obbkaggle/a-journey-through-titanic", "kernel_id": "120864"}, {"ref": "mrprobs/a-journey-through-titanic", "kernel_id": "120854"}, {"ref": "clisakowski/version-0-1", "kernel_id": "170139"}, {"ref": "clisakowski/myfirsttest", "kernel_id": "170027"}, {"ref": "zedthirtyeight/a-journey-through-titanic", "kernel_id": "120845"}, {"ref": "imranraja/a-journey-through-titanic", "kernel_id": "183121"}, {"ref": "alvaroperez/survival-forest", "kernel_id": "793992"}, {"ref": "yaroshevskiy/fork-of-titanic-problem-1132d1b1", "kernel_id": "164303"}, {"ref": "yaroshevskiy/titanic-problem", "kernel_id": "146172"}, {"ref": "yaroshevskiy/fork-of-titanic-problem", "kernel_id": "146247"}, {"ref": "srajkuntala12/notebook89dff140b8", "kernel_id": "172950"}, {"ref": "narasimha46/test2", "kernel_id": "174833"}, {"ref": "narasimha46/test33", "kernel_id": "178563"}, {"ref": "narasimha46/simhas-first-python-experience-with-interpretation", "kernel_id": "169239"}, {"ref": "narasimha46/simha1", "kernel_id": "169236"}, {"ref": "maimiqin/exploring-survival-on-the-titanic", "kernel_id": "209755"}, {"ref": "kckoay/1-0-titanic", "kernel_id": "121105"}, {"ref": "xuziying0618/introduction-to-ensembling-stacking-in-python", "kernel_id": "189800"}, {"ref": "xuziying0618/a-journey-through-titanic", "kernel_id": "189788"}, {"ref": "nathanzorndorf/titanic-python-ii", "kernel_id": "124443"}, {"ref": "domoman/exploratory-tutorial-titanic", "kernel_id": "121061"}, {"ref": "zossimov/exploring-survival-on-the-titanic", "kernel_id": "120996"}, {"ref": "tabris223/kaggle-titanic-lr-dnn-pandas-sklearn-tflearn", "kernel_id": "233035"}, {"ref": "kakakazuma/a-journey-through-titanic", "kernel_id": "121100"}, {"ref": "kentchen/a-journey-through-titanic", "kernel_id": "123459"}, {"ref": "yakum01/a-journey-through-titanic", "kernel_id": "135782"}, {"ref": "akimielonen/notebooke7ed6d4d8b", "kernel_id": "124265"}, {"ref": "situuu/notebook5575a0d6ac", "kernel_id": "121416"}, {"ref": "cher93/notebookf7e486800b", "kernel_id": "138847"}, {"ref": "cher93/notebookbb3795fde3", "kernel_id": "138831"}, {"ref": "cher93/notebookb1ad3541b7", "kernel_id": "138835"}, {"ref": "cher93/fork-of-notebookf7e486800b", "kernel_id": "141075"}, {"ref": "idobsh8/notebooka1169884b1", "kernel_id": "215800"}, {"ref": "idobsh8/a-journey-through-titanic", "kernel_id": "124137"}, {"ref": "anishmayaramka/the-titanic-datset", "kernel_id": "124670"}, {"ref": "anishmayaramka/notebookf5faa03f34", "kernel_id": "124680"}, {"ref": "anishmayaramka/the-titanic-problem", "kernel_id": "124681"}, {"ref": "anishmayaramka/roy-s-titanic-notebook-7e6c7e62", "kernel_id": "124727"}, {"ref": "anishmayaramka/notebook57c3fee222", "kernel_id": "124736"}, {"ref": "leopardli/notebooke634fcd7b4", "kernel_id": "151554"}, {"ref": "k0walski/notebook8de608edef", "kernel_id": "161071"}, {"ref": "ntsukada/a-journey-through-titanic", "kernel_id": "195894"}, {"ref": "mip2014/hifuckoff", "kernel_id": "127566"}, {"ref": "mip2014/fuckaway", "kernel_id": "127711"}, {"ref": "nickerx/notebook59965dba65", "kernel_id": "266829"}, {"ref": "anirudhainamdar/a-journey-through-titanic", "kernel_id": "121160"}, {"ref": "zz1994/a-journey-through-titanic", "kernel_id": "191894"}, {"ref": "chialun/exploring-survival-on-the-titanic", "kernel_id": "121528"}, {"ref": "p0nyque/var-1-0", "kernel_id": "154276"}, {"ref": "ggpasqualino/could-the-titanic-have-been-saved", "kernel_id": "123382"}, {"ref": "oscarpulido55/notebook757463f1d5", "kernel_id": "216714"}, {"ref": "luoshao23/titanic-data-science-solutions", "kernel_id": "319834"}, {"ref": "nizhikebinesi/titanic-best-working-classifier", "kernel_id": "142953"}, {"ref": "bluefalcon/a-journey-through-titanic", "kernel_id": "124337"}, {"ref": "yaohuantong/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "161389"}, {"ref": "yaohuantong/first-ds-project", "kernel_id": "161213"}, {"ref": "jrphilippe/a-journey-through-titanic", "kernel_id": "185112"}, {"ref": "achawkins/titanic-introduction", "kernel_id": "121364"}, {"ref": "astartar/titanic-machine-learning-from-disaster", "kernel_id": "242130"}, {"ref": "astartar/titanic-alessandra", "kernel_id": "242122"}, {"ref": "astartar/notebookfaac1324cb", "kernel_id": "242110"}, {"ref": "emmyft/titanic-survival-prediction", "kernel_id": "122852"}, {"ref": "sunnyqin/notebooke3dd037d1d", "kernel_id": "121469"}, {"ref": "sunnyqin/titanic", "kernel_id": "121511"}, {"ref": "ianheddle/a-journey-through-titanic", "kernel_id": "121845"}, {"ref": "johnsonlarryl/notebook682dcd5534", "kernel_id": "121398"}, {"ref": "bosscolo/notebook32e15cb3ee", "kernel_id": "121486"}, {"ref": "suryapv/movie-recommendation", "kernel_id": "130186"}, {"ref": "suryapv/titanic-classification", "kernel_id": "126503"}, {"ref": "suryapv/notebookc858dfbcdd", "kernel_id": "125281"}, {"ref": "suryapv/a-journey-through-titanic", "kernel_id": "126285"}, {"ref": "joebrislin/notebook318d69a9ca", "kernel_id": "122167"}, {"ref": "mohilbajaj2002/a-journey-through-titanic-04750353", "kernel_id": "131266"}, {"ref": "mohilbajaj2002/a-journey-through-titanic", "kernel_id": "121544"}, {"ref": "zachsilvey/titanic-predictor", "kernel_id": "121541"}, {"ref": "wangkaihong/a-journey-through-titanic-f9345c36", "kernel_id": "121590"}, {"ref": "wangkaihong/fork-of-a-journey-through-titanic-f9345c36", "kernel_id": "121593"}, {"ref": "firewang/a-journey-through-titanic", "kernel_id": "122030"}, {"ref": "firewang/fork-of-a-journey-through-titanic", "kernel_id": "122031"}, {"ref": "jbuusao/notebookf14c166c23", "kernel_id": "121585"}, {"ref": "fujiikenji/notebook273ca26e85", "kernel_id": "123758"}, {"ref": "jieyima/titanic-exploration-modeling", "kernel_id": "536718"}, {"ref": "druuuk/notebookef8c3c3fb4", "kernel_id": "227838"}, {"ref": "lovemoon/notebook94886d2095", "kernel_id": "121673"}, {"ref": "poopmyself/an-interactive-data-science-tutorial", "kernel_id": "211813"}, {"ref": "scorella/notebookf042a0bf93", "kernel_id": "179974"}, {"ref": "chaoukicharfeddine/notebook089c583d1e", "kernel_id": "123282"}, {"ref": "rubakdabbas/fork-of-titanic-survival-linear-regression", "kernel_id": "293174"}, {"ref": "rubakdabbas/notebook15636338a4", "kernel_id": "295484"}, {"ref": "jetjakobsson/notebook306e2ceb2d", "kernel_id": "140746"}, {"ref": "jetjakobsson/notebookb4fc963e67", "kernel_id": "132393"}, {"ref": "jetjakobsson/notebookd52b5c1f27", "kernel_id": "132343"}, {"ref": "marvenbr/notebookaa33433e14", "kernel_id": "165435"}, {"ref": "marvenbr/notebook987da26484", "kernel_id": "165436"}, {"ref": "alphoroz/titanic-survival", "kernel_id": "121823"}, {"ref": "lefteriskouloubris/exploring-survival-on-the-titanic", "kernel_id": "123363"}, {"ref": "kvissuet/titanic", "kernel_id": "393484"}, {"ref": "maoyenini/notebook6138558a8a", "kernel_id": "121871"}, {"ref": "lukehong/titanic", "kernel_id": "224645"}, {"ref": "nathansparks/titanic-study", "kernel_id": "123516"}, {"ref": "neopy1/notebooke017736a46", "kernel_id": "151692"}, {"ref": "neopy1/notebook99b773b3f8", "kernel_id": "155492"}, {"ref": "neopy1/notebook884f5452c0", "kernel_id": "155466"}, {"ref": "neopy1/first-try-at-eda-predictive-analysis", "kernel_id": "155279"}, {"ref": "neopy1/fork-of-first-try-at-eda-predictive-analysis", "kernel_id": "155284"}, {"ref": "neopy1/2nd-attempt-at-ml", "kernel_id": "156076"}, {"ref": "jatavsandeep/new-test-script", "kernel_id": "225838"}, {"ref": "jatavsandeep/test123", "kernel_id": "122881"}, {"ref": "maciejmarek/test1", "kernel_id": "122035"}, {"ref": "maciejmarek/notebookd3e2e0ea79", "kernel_id": "122437"}, {"ref": "maciejmarek/a-journey-through-titanic", "kernel_id": "123666"}, {"ref": "maciejmarek/notebook6c0503368f", "kernel_id": "123604"}, {"ref": "eunsu920/decision-tree-visualization-submission", "kernel_id": "122045"}, {"ref": "eunsu920/12121212121", "kernel_id": "122120"}, {"ref": "eunsu920/1212434414", "kernel_id": "122127"}, {"ref": "eunsu920/1123123", "kernel_id": "122110"}, {"ref": "eunsu920/123123123123132", "kernel_id": "123297"}, {"ref": "eunsu920/1231421142323", "kernel_id": "123275"}, {"ref": "eunsu920/134141", "kernel_id": "123246"}, {"ref": "eunsu920/1113212312", "kernel_id": "123220"}, {"ref": "mireiaconsarnau/notebookcfc46eb03b", "kernel_id": "168602"}, {"ref": "mireiaconsarnau/proof", "kernel_id": "168615"}, {"ref": "magicznymichal/a-journey-through-titanic-0f5fb295", "kernel_id": "122066"}, {"ref": "magicznymichal/a-journey-through-titanic-af79125d", "kernel_id": "122064"}, {"ref": "amitkothari/notebookc7bfed414d", "kernel_id": "176371"}, {"ref": "varmaalok22/a-journey-through-titanic-a08c83c4", "kernel_id": "132674"}, {"ref": "richardlee/notebooka1ddc9a27f", "kernel_id": "220372"}, {"ref": "richardlee/a-journey-through-titanic-6a73c8", "kernel_id": "220433"}, {"ref": "markdyousef/a-journey-through-titanic", "kernel_id": "122094"}, {"ref": "choishinkyu/123141321", "kernel_id": "123236"}, {"ref": "choishinkyu/hhhggggg", "kernel_id": "122100"}, {"ref": "choishinkyu/decision-tree-visualization-submission", "kernel_id": "122105"}, {"ref": "leedongkyu/exploring-survival-on-the-titanic", "kernel_id": "122139"}, {"ref": "samikshya/notebook284da4ccd9", "kernel_id": "168044"}, {"ref": "helloworld09/notebook8f6f534a2a", "kernel_id": "200271"}, {"ref": "gerardwilkinson/titanic", "kernel_id": "122146"}, {"ref": "weisserreis/notebook15dbb850cb", "kernel_id": "122824"}, {"ref": "weisserreis/a-journey-through-titanic-aeb4367c", "kernel_id": "134248"}, {"ref": "slashdev/fork-of-a-journey-through-titanic", "kernel_id": "125665"}, {"ref": "slashdev/titanic-test", "kernel_id": "125669"}, {"ref": "onenonlykpro/titanic-attempt-v3", "kernel_id": "123456"}, {"ref": "onenonlykpro/titanic-attempt-v2", "kernel_id": "123460"}, {"ref": "aalnoman/start", "kernel_id": "122163"}, {"ref": "aalnoman/oktest", "kernel_id": "122165"}, {"ref": "pgorni/notebook77eb172bca", "kernel_id": "137608"}, {"ref": "howie42/to-have-a-start", "kernel_id": "123482"}, {"ref": "hamaguchitm/firstsample", "kernel_id": "122183"}, {"ref": "hamaguchitm/first-notebook", "kernel_id": "122193"}, {"ref": "ajay2016/titanic-using-decision-tree", "kernel_id": "717295"}, {"ref": "mohiuddinalamin/notebook1e26c0ca96", "kernel_id": "206109"}, {"ref": "harishagarwal/a-journey-through-titanic-ef70db85", "kernel_id": "137435"}, {"ref": "harishagarwal/a-journey-through-titanic", "kernel_id": "130138"}, {"ref": "ashishsinhaiitr/notebookdd0de416b8", "kernel_id": "224468"}, {"ref": "brenorc/notebook09938467ab", "kernel_id": "259097"}, {"ref": "yanbohuang/a-journey-through-titanic", "kernel_id": "154371"}, {"ref": "ancientbytes/kaggle-titanic-analysis", "kernel_id": "262024"}, {"ref": "spiritsymmetry/notebook1b9f125cdf", "kernel_id": "205556"}, {"ref": "spiritsymmetry/titanic", "kernel_id": "205561"}, {"ref": "jennah/first-script", "kernel_id": "168860"}, {"ref": "wuzhongcan/notebookf519b4a14f", "kernel_id": "140295"}, {"ref": "wuzhongcan/notebook4938bfa928", "kernel_id": "141701"}, {"ref": "wuzhongcan/notebooka15db04df5", "kernel_id": "147339"}, {"ref": "linkrw12/babby-s-first-kernel", "kernel_id": "162605"}, {"ref": "zhengjiasen/a-journey-through-titanic", "kernel_id": "123768"}, {"ref": "zhengjiasen/notebook53b23b47dc", "kernel_id": "131022"}, {"ref": "zhengjiasen/notebook0827824274", "kernel_id": "132110"}, {"ref": "zhengjiasen/notebook7136e85626", "kernel_id": "132103"}, {"ref": "zhengjiasen/titanic-perso", "kernel_id": "132480"}, {"ref": "izbank/a-journey-through-titanic", "kernel_id": "122387"}, {"ref": "zengjun/a-journey-through-titanic", "kernel_id": "122433"}, {"ref": "lasserefsgaard/exploring-survival-on-the-titanic", "kernel_id": "132800"}, {"ref": "samsekbolfan/ddo0obb", "kernel_id": "122427"}, {"ref": "samsekbolfan/ddzzbbl", "kernel_id": "122419"}, {"ref": "samsekbolfan/hajoin", "kernel_id": "122816"}, {"ref": "samsekbolfan/ddo0obb1", "kernel_id": "122440"}, {"ref": "hataeyeul/21231111", "kernel_id": "122442"}, {"ref": "hataeyeul/sdfsadasdasd22", "kernel_id": "122431"}, {"ref": "xiaoyao70v/a-journey-through-titanic", "kernel_id": "124012"}, {"ref": "xiaoyao70v/notebook311f2dae3b", "kernel_id": "199009"}, {"ref": "xiaoyao70v/notebook1b232b6e25", "kernel_id": "196516"}, {"ref": "chaozuo/zuo222", "kernel_id": "122429"}, {"ref": "pochan/notebookcb125d3d18", "kernel_id": "122480"}, {"ref": "ireshaperera/a-journey-through-titanic", "kernel_id": "134192"}, {"ref": "ireshaperera/a-journey-through-titanic-355cec4e", "kernel_id": "134761"}, {"ref": "byounginkim/notebooka0957d74dc", "kernel_id": "202068"}, {"ref": "byounginkim/notebookc4704bf975", "kernel_id": "202074"}, {"ref": "byounginkim/test-tensorflow", "kernel_id": "188695"}, {"ref": "shanbhag/notebook874ce884d3", "kernel_id": "122529"}, {"ref": "jonocx/testingnewscript", "kernel_id": "124189"}, {"ref": "jonocx/notebookbf8040ba83", "kernel_id": "124344"}, {"ref": "darkanita/titanic-analysis", "kernel_id": "522668"}, {"ref": "nikeshreddy100/a-journey-through-titanic", "kernel_id": "163700"}, {"ref": "nikeshreddy100/notebookfb3f647519", "kernel_id": "163706"}, {"ref": "fidelcuevas/a-journey-through-titanic", "kernel_id": "122754"}, {"ref": "diogonando/notebooke76cee9d97", "kernel_id": "184858"}, {"ref": "diogonando/titanic", "kernel_id": "184887"}, {"ref": "diogonando/notebook9905caa4b6", "kernel_id": "184874"}, {"ref": "diogonando/first", "kernel_id": "184869"}, {"ref": "diogonando/second", "kernel_id": "184871"}, {"ref": "teribhen/notebook52bdd2cb94", "kernel_id": "122652"}, {"ref": "siddhesha/a-journey-through-titanic", "kernel_id": "133060"}, {"ref": "researchbigd/titanic-forkedfrommeganscript", "kernel_id": "193139"}, {"ref": "researchbigd/titanic-r-researchbigd", "kernel_id": "188525"}, {"ref": "majorminer/a-journey-through-titanic", "kernel_id": "123121"}, {"ref": "serkana/notebook700b231371", "kernel_id": "122726"}, {"ref": "henryjchang/a-journey-through-titanic", "kernel_id": "160435"}, {"ref": "abdulmohsen09az/notebook3a0f91c954", "kernel_id": "195299"}, {"ref": "abdulmohsen09az/notebook714dc057cf", "kernel_id": "201192"}, {"ref": "bruceokallau/data-mining-titanic-using-kmeans", "kernel_id": "335776"}, {"ref": "bruceokallau/a-journey-through-titanic", "kernel_id": "123137"}, {"ref": "brandonhu/a-journey-through-titanic-practice", "kernel_id": "208712"}, {"ref": "felixhalim/exploring-survival-on-the-titanic", "kernel_id": "122765"}, {"ref": "yayang/notebook0642b5e14d", "kernel_id": "122998"}, {"ref": "wangpan/a-journey-through-titanic-d414e3f2", "kernel_id": "122859"}, {"ref": "wangpan/a-journey-through-titanic-a18651b5", "kernel_id": "122860"}, {"ref": "ammoxine/a-journey-through-titanic-998b9a", "kernel_id": "194853"}, {"ref": "ammoxine/a-journey-through-titanic", "kernel_id": "193830"}, {"ref": "pgozdzikowski/a-journey-through-titanic", "kernel_id": "123890"}, {"ref": "mratsim/titanic-julia-end-to-end-pipelining", "kernel_id": "159961"}, {"ref": "mratsim/titanic-end-to-end-pipeline-stacking-gridsearch", "kernel_id": "159965"}, {"ref": "greglinux/test1", "kernel_id": "136873"}, {"ref": "vinodhchokkaiah/notebook20dcba50c0", "kernel_id": "123005"}, {"ref": "rlchen/tatanictest", "kernel_id": "130969"}, {"ref": "akbarboghani/pytanic", "kernel_id": "266727"}, {"ref": "yabinzhang/hello-world", "kernel_id": "124370"}, {"ref": "henryjon/a-journey-through-titanic-cd105feb", "kernel_id": "162074"}, {"ref": "henryjon/a-journey-through-titanic", "kernel_id": "155849"}, {"ref": "carlaestopa/notebook46c1afa646", "kernel_id": "127637"}, {"ref": "carlaestopa/summary-train", "kernel_id": "127937"}, {"ref": "julianafantini/exploring-survival-on-the-titanic", "kernel_id": "128857"}, {"ref": "julianafantini/notebook2c96022202", "kernel_id": "128858"}, {"ref": "julianafantini/notebooka8c1ced1cb", "kernel_id": "128882"}, {"ref": "julianafantini/decision-tree-visualization-submission", "kernel_id": "128883"}, {"ref": "dieden/notebooke1b69691a4", "kernel_id": "154755"}, {"ref": "dieden/notebookda79f035f6", "kernel_id": "152903"}, {"ref": "dieden/notebook021f9447df", "kernel_id": "147500"}, {"ref": "dieden/notebook588f988f9d", "kernel_id": "148125"}, {"ref": "dieden/notebook478ae82a2c", "kernel_id": "148461"}, {"ref": "dieden/notebook450ecae44c", "kernel_id": "148481"}, {"ref": "dieden/model-comparison-sklearn", "kernel_id": "150660"}, {"ref": "dieden/notebook5dc352090f", "kernel_id": "150678"}, {"ref": "dieden/notebooke6d7102e58", "kernel_id": "150549"}, {"ref": "quark6/titanic-work", "kernel_id": "138441"}, {"ref": "quark6/1st-project-titanic", "kernel_id": "138509"}, {"ref": "rshengg/a-journey-through-titanic", "kernel_id": "147099"}, {"ref": "christiann/first-try", "kernel_id": "129742"}, {"ref": "christiann/notebook4e93d2a367", "kernel_id": "131417"}, {"ref": "shapedsundew9/learning-python-tensorflow-with-titanic", "kernel_id": "149089"}, {"ref": "awang19/notebook2a826c436a", "kernel_id": "123128"}, {"ref": "kavinlu/notebook49b62f4bd9", "kernel_id": "128123"}, {"ref": "lyzheng/notebook0d9671f4b1", "kernel_id": "123440"}, {"ref": "angryziber/a-journey-through-titanic-54b709a1", "kernel_id": "170697"}, {"ref": "angryziber/a-journey-through-titanic", "kernel_id": "169954"}, {"ref": "qunmeng/a-journey-through-titanic", "kernel_id": "137416"}, {"ref": "qunmeng/exploring-survival-on-the-titanic", "kernel_id": "137417"}, {"ref": "qunmeng/roy-s-titanic-notebook", "kernel_id": "137402"}, {"ref": "qunmeng/titanic-data-science-solutions", "kernel_id": "192537"}, {"ref": "qunmeng/titanic-best-working-classifier", "kernel_id": "136807"}, {"ref": "kalind/test1", "kernel_id": "181549"}, {"ref": "mln141/notebookc073989059", "kernel_id": "130327"}, {"ref": "mln141/notebookb1f40154b2", "kernel_id": "130220"}, {"ref": "mln141/a-journey-through-titanic", "kernel_id": "130213"}, {"ref": "viktor923/notebook02ef6eeade", "kernel_id": "438732"}, {"ref": "viktor923/my-titanic", "kernel_id": "440945"}, {"ref": "liyi1991/a-journey-through-titanic", "kernel_id": "135457"}, {"ref": "liyi1991/a-journey-through-titanic-by-liyi", "kernel_id": "135463"}, {"ref": "liyi1991/fork-of-a-journey-through-titanic", "kernel_id": "135506"}, {"ref": "liyi1991/a-journey-through-titanic-d6e38c88", "kernel_id": "135590"}, {"ref": "liyi1991/fork-of-a-journey-through-titanic-d6e38c88", "kernel_id": "135593"}, {"ref": "liyi1991/fork-of-a-journey-through-titanic-a4f5ce15", "kernel_id": "162202"}, {"ref": "nephaa/a-journey-through-titanic-82a42f3d", "kernel_id": "158191"}, {"ref": "nephaa/random-forest-benchmark-r", "kernel_id": "158181"}, {"ref": "ekaterinaivanova/notebook6f64b796e0", "kernel_id": "152339"}, {"ref": "ekaterinaivanova/fork-of-notebook5e5fe9461c-d5f65398", "kernel_id": "142413"}, {"ref": "ekaterinaivanova/notebook41d4d9defb", "kernel_id": "123650"}, {"ref": "ekaterinaivanova/notebookcfad99f543", "kernel_id": "124396"}, {"ref": "ekaterinaivanova/notebook81ca54ad84", "kernel_id": "124439"}, {"ref": "ekaterinaivanova/fork-of-notebookfc8e6df814", "kernel_id": "124485"}, {"ref": "ekaterinaivanova/fork-of-notebook5e5fe9461c", "kernel_id": "136554"}, {"ref": "ekaterinaivanova/notebook71c3666413", "kernel_id": "127970"}, {"ref": "ekaterinaivanova/notebook259a6d2ce6", "kernel_id": "124814"}, {"ref": "marila/a-journey-through-titanic", "kernel_id": "123284"}, {"ref": "nortown/a-journey-through-titanic", "kernel_id": "135740"}, {"ref": "leonidmyt/notebooke06fe55eb3", "kernel_id": "123526"}, {"ref": "ayukrs/a-journey-through-titanic", "kernel_id": "130469"}, {"ref": "ayukrs/a-journey-through-titanic-dd6c0a81", "kernel_id": "130475"}, {"ref": "mvanikeev/my-1st-try-with-titanic", "kernel_id": "134185"}, {"ref": "nicolasg1/notebookf9f3f79307", "kernel_id": "175967"}, {"ref": "kranthikiran01/titanic", "kernel_id": "552018"}, {"ref": "sinakhorami/titanic-best-working-classifier", "kernel_id": "133770"}, {"ref": "insssss/tnghks121212", "kernel_id": "123376"}, {"ref": "lightingman/notebook931881d7ee", "kernel_id": "213046"}, {"ref": "oddhypothesis/notebook19a1677910", "kernel_id": "134090"}, {"ref": "lin1234/notebookd8b3a47d56", "kernel_id": "153157"}, {"ref": "kangaru/my-first-ml-for-titanic", "kernel_id": "253268"}, {"ref": "kangaru/notebooke85639c045", "kernel_id": "248497"}, {"ref": "xiaoyeahniao/a-journey-through-titanic-c3de933b", "kernel_id": "123641"}, {"ref": "xiaoyeahniao/fork-of-a-journey-through-titanic", "kernel_id": "123627"}, {"ref": "xiaoyeahniao/a-journey-through-titanic", "kernel_id": "123616"}, {"ref": "lin538x/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "173115"}, {"ref": "lin538x/notebookfef4124386", "kernel_id": "173119"}, {"ref": "wangyup/notebookb2cfd446bb", "kernel_id": "213928"}, {"ref": "freedomzt/a-journey-through-titanic", "kernel_id": "124146"}, {"ref": "kgreene1906/notebook82a9b9658d", "kernel_id": "269469"}, {"ref": "fconnolly/notebook6a50851183", "kernel_id": "157823"}, {"ref": "juhiramzai/roy-s-titanic-notebook", "kernel_id": "124060"}, {"ref": "michelledeng/random-forest-benchmark-r", "kernel_id": "124059"}, {"ref": "sylvain2333/titanic-predict-copy", "kernel_id": "128455"}, {"ref": "sylvain2333/fork-of-notebook430672ed1b", "kernel_id": "128465"}, {"ref": "sylvain2333/notebook8e2bbb53a8", "kernel_id": "215600"}, {"ref": "ewong027/exploring-survival-on-the-titanic", "kernel_id": "123971"}, {"ref": "aaroncracker/a-journey-through-titanic", "kernel_id": "124686"}, {"ref": "niebaopeng/new-tatanic", "kernel_id": "123684"}, {"ref": "tonyztff/fork-of-a-journey-through-titanic-test", "kernel_id": "130100"}, {"ref": "tonyztff/a-journey-through-titanic-test", "kernel_id": "130097"}, {"ref": "tomford/notebook10fd0cd209", "kernel_id": "124221"}, {"ref": "tomford/notebooke4b6f391b1", "kernel_id": "124222"}, {"ref": "tomford/notebook9a8a1c30cc", "kernel_id": "132173"}, {"ref": "mferara/titanicum", "kernel_id": "147231"}, {"ref": "cards89/notebook30cdeb89e2", "kernel_id": "123738"}, {"ref": "weimingtrue/titanic", "kernel_id": "587817"}, {"ref": "pranaskieras/notebook68cd64203e", "kernel_id": "271171"}, {"ref": "cdelisle/notebook29b8f1855a", "kernel_id": "123789"}, {"ref": "cdelisle/test-titanic", "kernel_id": "125732"}, {"ref": "cdelisle/notebook7a3112c3dd", "kernel_id": "246318"}, {"ref": "brunokassler/titanictest", "kernel_id": "123811"}, {"ref": "cuisite/a-journey-through-titanic-2a426cd2", "kernel_id": "124250"}, {"ref": "cuisite/a-journey-through-titanic", "kernel_id": "124240"}, {"ref": "terenceliu/a-journey-through-titanic", "kernel_id": "181339"}, {"ref": "nasrullah/notebook2bad76aeb7", "kernel_id": "230310"}, {"ref": "startupsci/titanic-data-science-solutions", "kernel_id": "149281"}, {"ref": "startupsci/titanic-eda-using-speedml", "kernel_id": "250073"}, {"ref": "startupsci/titanic-solution-using-speedml", "kernel_id": "255280"}, {"ref": "mmmmm10/kappanic-f70cc7b6", "kernel_id": "128721"}, {"ref": "mmmmm10/kappanic", "kernel_id": "128554"}, {"ref": "mmmmm10/kappanic-9afeaece", "kernel_id": "128590"}, {"ref": "mmmmm10/titanicdupa5", "kernel_id": "128518"}, {"ref": "mmmmm10/micha-ku-nie-mog", "kernel_id": "128550"}, {"ref": "mmmmm10/notebooka63a388f91", "kernel_id": "128533"}, {"ref": "mmmmm10/kappanic-317d4aed", "kernel_id": "128663"}, {"ref": "lansford84/lansford84-titanic-script", "kernel_id": "168105"}, {"ref": "aniketparsewar/titanic", "kernel_id": "134434"}, {"ref": "aniketparsewar/notebook0599115f9b", "kernel_id": "132555"}, {"ref": "aniketparsewar/keras-neural-network-for-titanic", "kernel_id": "262426"}, {"ref": "konosp/titanic-logistic-regression-from-scratch-0-779", "kernel_id": "409892"}, {"ref": "burningdesire/titanic-best-working-classifier", "kernel_id": "142450"}, {"ref": "burningdesire/notebook2385140f43", "kernel_id": "142475"}, {"ref": "robinbdt/titanic", "kernel_id": "129008"}, {"ref": "muddassir235/notebook9ecd38fb9a", "kernel_id": "124072"}, {"ref": "yousif/titanic-kernel-yousif-a-y-a-alireza", "kernel_id": "367138"}, {"ref": "sddhrth/titanic-py", "kernel_id": "175891"}, {"ref": "dhruv1992/notebookfc928adaa5", "kernel_id": "124317"}, {"ref": "yippeehy/notebooka93d826205", "kernel_id": "198938"}, {"ref": "yippeehy/notebooka6c8731d31", "kernel_id": "204400"}, {"ref": "nivarthana/notebook3e81b09cb3", "kernel_id": "124179"}, {"ref": "jimmafeni/decision-tree", "kernel_id": "124503"}, {"ref": "notdalia/notebook4f6cf16f9b", "kernel_id": "134463"}, {"ref": "naphat/titanic-dataset-machine-learning", "kernel_id": "124203"}, {"ref": "ruosongwu/a-journey-through-titanic", "kernel_id": "124213"}, {"ref": "ianyin/notebook238944904c", "kernel_id": "135796"}, {"ref": "sycymw/titanic", "kernel_id": "124214"}, {"ref": "sycymw/titanic1", "kernel_id": "124216"}, {"ref": "aglotero/my-tanic-analysis", "kernel_id": "446850"}, {"ref": "alexhecn/an-interactive-data-science-tutorial", "kernel_id": "172387"}, {"ref": "siberiawind/titanic-randomforest", "kernel_id": "139820"}, {"ref": "siberiawind/titanic", "kernel_id": "139855"}, {"ref": "castello030390/notebook01eb57a8d0", "kernel_id": "268654"}, {"ref": "castello030390/notebook711254e812", "kernel_id": "268655"}, {"ref": "riteshnagpal/notebook9c8a63b8e9", "kernel_id": "165635"}, {"ref": "vonneumann/titanic-random-forest-82-78", "kernel_id": "177237"}, {"ref": "vibhasgejji/random-forest", "kernel_id": "139398"}, {"ref": "anoop1409/titanic-compare-different-model-scores", "kernel_id": "150454"}, {"ref": "ahmeddd/a-journey-through-titanic-b375f01b", "kernel_id": "124991"}, {"ref": "markushh/a-journey-through-titanic", "kernel_id": "125343"}, {"ref": "raphaelb/titanic", "kernel_id": "140574"}, {"ref": "raphaelb/titanic-notebook", "kernel_id": "140579"}, {"ref": "michellejw/titanic-dataset", "kernel_id": "124387"}, {"ref": "michellejw/a-journey-through-titanic", "kernel_id": "124389"}, {"ref": "michellejw/a-journey-through-titanic-0c07faea", "kernel_id": "124390"}, {"ref": "liuhongyi5566/notebook0a95038f2c", "kernel_id": "128135"}, {"ref": "liuhongyi5566/test-with-python", "kernel_id": "128969"}, {"ref": "liuhongyi5566/a-journey-through-titanic", "kernel_id": "128972"}, {"ref": "liuhongyi5566/a-journey-through-titanic-test", "kernel_id": "128973"}, {"ref": "liuhongyi5566/fork-of-a-journey-through-titanic-test", "kernel_id": "128975"}, {"ref": "sachkj/kaggle-first-notebook", "kernel_id": "204481"}, {"ref": "gloriasweet/titanic-mechanic-machine-learning", "kernel_id": "166528"}, {"ref": "gloriasweet/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "163587"}, {"ref": "pisipisi/notebookf147b4a50b", "kernel_id": "124448"}, {"ref": "nitishkatta/notebookbf847cd23e", "kernel_id": "243771"}, {"ref": "andreluna/exploring-survival-on-the-titanic", "kernel_id": "126003"}, {"ref": "skbergam/test234f234g2", "kernel_id": "979399"}, {"ref": "mongrelmessiah/a-journey-through-titanic", "kernel_id": "176282"}, {"ref": "ishigem/notebooke9e901e7eb", "kernel_id": "217129"}, {"ref": "vinay6666/notebookfb69b39638", "kernel_id": "127472"}, {"ref": "vinay6666/sigmoid", "kernel_id": "127482"}, {"ref": "vinay6666/sigmoid-function-for-logisticregression-neuralnets", "kernel_id": "127488"}, {"ref": "vinay6666/notebookc814519978", "kernel_id": "127462"}, {"ref": "vinay6666/notebook087c80cb84", "kernel_id": "125298"}, {"ref": "yakubakh/notebook089c672979", "kernel_id": "124694"}, {"ref": "yakubakh/notebook3e0f7fd99f", "kernel_id": "124696"}, {"ref": "heavenwesker/firstscript", "kernel_id": "124642"}, {"ref": "charlie28/my-first-test-script", "kernel_id": "161294"}, {"ref": "dauletkali/notebookce813e004e", "kernel_id": "189669"}, {"ref": "drathnasingh/analysis", "kernel_id": "124751"}, {"ref": "drathnasingh/notebook823e8f3b00", "kernel_id": "125401"}, {"ref": "upasana16/titsurvpred", "kernel_id": "124777"}, {"ref": "jwheatp/titanic-competition", "kernel_id": "251554"}, {"ref": "shafiedavalath/firsttest", "kernel_id": "124819"}, {"ref": "dimartins/notebook25d667063b", "kernel_id": "229563"}, {"ref": "dimartins/notebookb4cb1f6ecc", "kernel_id": "229564"}, {"ref": "daniglezl/main-py", "kernel_id": "124909"}, {"ref": "daniglezl/notebook322210d9d0", "kernel_id": "124973"}, {"ref": "daniglezl/main-1-py", "kernel_id": "124979"}, {"ref": "daniglezl/main-4-py", "kernel_id": "125059"}, {"ref": "daniglezl/main-5-py", "kernel_id": "125062"}, {"ref": "daniglezl/main-2-py", "kernel_id": "125053"}, {"ref": "daniglezl/main-3-py", "kernel_id": "125055"}, {"ref": "daniglezl/main-6-py", "kernel_id": "125072"}, {"ref": "daniglezl/main-7-py", "kernel_id": "125075"}, {"ref": "daniglezl/main-8-py", "kernel_id": "125077"}, {"ref": "daniglezl/main-9-py", "kernel_id": "125284"}, {"ref": "daniglezl/main-10-py", "kernel_id": "125285"}, {"ref": "daniglezl/main-13-py", "kernel_id": "125360"}, {"ref": "daniglezl/main-12-py", "kernel_id": "125357"}, {"ref": "daniglezl/main-11-py", "kernel_id": "125352"}, {"ref": "azzikl/a-journey-through-titanic", "kernel_id": "130322"}, {"ref": "mtknowlt/exploring-survival-on-the-titanic", "kernel_id": "130552"}, {"ref": "dpzhang/notebook048a8e986d", "kernel_id": "127196"}, {"ref": "bharaniakella/exploring-survival-on-the-titanic", "kernel_id": "124937"}, {"ref": "lesibius/titanic-back-to-basic", "kernel_id": "620539"}, {"ref": "discordia/notebookfa571bf749", "kernel_id": "124977"}, {"ref": "yashgaurkar/titanic-survival-prediction", "kernel_id": "133108"}, {"ref": "yashgaurkar/titanic-survival-story", "kernel_id": "134029"}, {"ref": "dharjanto/notebook02b3c17a97", "kernel_id": "125409"}, {"ref": "seljuke/notebook8c7c7eaa6d", "kernel_id": "150224"}, {"ref": "seljuke/notebook42a300cb27", "kernel_id": "150950"}, {"ref": "jduque/deaths-on-the-titanic-with-random-forests", "kernel_id": "522804"}, {"ref": "yuchaoqun/a-journey-through-titanic-fork-test", "kernel_id": "130943"}, {"ref": "replicat/notebook6907ca03d6", "kernel_id": "179835"}, {"ref": "replicat/testing-1", "kernel_id": "179838"}, {"ref": "wy250229163/a-journey-through-titanic", "kernel_id": "131748"}, {"ref": "kdanalytics/ikd-python-titanic-survivor-prediction", "kernel_id": "719913"}, {"ref": "abrierly/nn-approach", "kernel_id": "191110"}, {"ref": "abrierly/notebookfd6cfaec3d", "kernel_id": "189966"}, {"ref": "abrierly/explore-titanic-python", "kernel_id": "189989"}, {"ref": "ankur29/a-journey-through-titanic", "kernel_id": "125263"}, {"ref": "philiphartout/notebookad4277133d", "kernel_id": "125268"}, {"ref": "xukangde/kaggle-titanic-001", "kernel_id": "130980"}, {"ref": "xukangde/notebookae5c075fdc", "kernel_id": "129308"}, {"ref": "dharmk80/titanic-random-forest-82-78", "kernel_id": "177057"}, {"ref": "esrakarabiyik/notebook8f61997a6c", "kernel_id": "203593"}, {"ref": "sandeepbkrishnan/exploring-survival-on-the-titanic", "kernel_id": "126414"}, {"ref": "ongoingbroom70/final-project", "kernel_id": "125404"}, {"ref": "ongoingbroom70/final-test", "kernel_id": "133134"}, {"ref": "ongoingbroom70/test-last", "kernel_id": "133035"}, {"ref": "ongoingbroom70/adrian", "kernel_id": "133037"}, {"ref": "ongoingbroom70/titanic-test", "kernel_id": "133025"}, {"ref": "utkarshdeep/survivor", "kernel_id": "689198"}, {"ref": "pearlspho/predicting-survival-on-the-titanic", "kernel_id": "125412"}, {"ref": "pearlspho/predicting-titanic-survival", "kernel_id": "125419"}, {"ref": "dstuerzer/a-journey-through-titanic", "kernel_id": "126974"}, {"ref": "armandli/notebookdb22cffb27", "kernel_id": "143348"}, {"ref": "sudoprime/titanic", "kernel_id": "126645"}, {"ref": "echebukati/ebc-titanic", "kernel_id": "136304"}, {"ref": "amartin5030/attempt1-py", "kernel_id": "131233"}, {"ref": "thinkingparticle/notebook62f320b911", "kernel_id": "228122"}, {"ref": "betbay/a-journey-through-titanic", "kernel_id": "147730"}, {"ref": "betbay/a-journey-through-titanic-d2b40c1f", "kernel_id": "147731"}, {"ref": "iteglas/a-journey-through-titanic", "kernel_id": "125800"}, {"ref": "earada/titanic-forest-test", "kernel_id": "125892"}, {"ref": "ambermz/notebook7bc0641ca6", "kernel_id": "189205"}, {"ref": "zhijinzhai/notebook72214023fd", "kernel_id": "205913"}, {"ref": "zhijinzhai/notebook3b4ab354c8", "kernel_id": "221202"}, {"ref": "emilytang/a-journey-through-titanic", "kernel_id": "126074"}, {"ref": "emilytang/a-journey-through-titanic-7b8b5250", "kernel_id": "126076"}, {"ref": "numbersbr/notebook7f8dd69450", "kernel_id": "127012"}, {"ref": "zinsword/a-journey-through-titanic", "kernel_id": "127371"}, {"ref": "rwhitcomb/titanic-r-test-project", "kernel_id": "152186"}, {"ref": "rwhitcomb/notebook6b57b7b901", "kernel_id": "152172"}, {"ref": "citransvostok/a-journey-through-titanic", "kernel_id": "126339"}, {"ref": "jntende/fork-of-a-journey-through-titanic-2d5858e6", "kernel_id": "126463"}, {"ref": "jntende/fork-of-a-journey-through-titanic", "kernel_id": "126374"}, {"ref": "pzdn2009/notebookd9c012804e", "kernel_id": "126333"}, {"ref": "pzdn2009/titanic", "kernel_id": "126337"}, {"ref": "houhouhou/mbnmc", "kernel_id": "126486"}, {"ref": "amrkhalifa/notebook2b635d6a66", "kernel_id": "182143"}, {"ref": "nwpujiahongsheng/a-journey-through-titanic", "kernel_id": "141729"}, {"ref": "nwpujiahongsheng/a-journey-through-titanic-21d06338", "kernel_id": "145005"}, {"ref": "nkornel/notebookdc56c69e5b", "kernel_id": "138669"}, {"ref": "nkornel/notebookfaf521c61d", "kernel_id": "138670"}, {"ref": "struggleforit/exploring-survival-on-the-titanic", "kernel_id": "135888"}, {"ref": "mrsheriff/a-journey-through-titanic", "kernel_id": "138474"}, {"ref": "mrsheriff/exploring-survival-on-the-titanic", "kernel_id": "133212"}, {"ref": "michalklempa/notebookb3e75b63cc", "kernel_id": "126631"}, {"ref": "mkuendig/a-journey-through-titanic", "kernel_id": "126684"}, {"ref": "mkuendig/my-titanic-notebook", "kernel_id": "126702"}, {"ref": "nbwadsworth/sinking-boat-practice", "kernel_id": "227563"}, {"ref": "nbwadsworth/sinking-boat-practice-python", "kernel_id": "227564"}, {"ref": "yannrossetti/a-journey-through-titanic", "kernel_id": "126976"}, {"ref": "bargach/a-journey-through-titanic", "kernel_id": "138602"}, {"ref": "llddcc/a-journey-through-titanic", "kernel_id": "133565"}, {"ref": "yl1991/an-interactive-data-science-tutorial", "kernel_id": "170091"}, {"ref": "kthefoodie/ml-let-it-sink-in", "kernel_id": "454155"}, {"ref": "s55082/tensorflow-study-1", "kernel_id": "181794"}, {"ref": "alfredoh/neural-networks-predicting-passengers-survived", "kernel_id": "136795"}, {"ref": "alfredoh/svm-v1-r", "kernel_id": "135096"}, {"ref": "alfredoh/random-forest-benchmark-r", "kernel_id": "135084"}, {"ref": "sebastienpenet/a-journey-through-titanic", "kernel_id": "126929"}, {"ref": "dspider/hello-titanic", "kernel_id": "266559"}, {"ref": "deeprandom/titanictest", "kernel_id": "161251"}, {"ref": "tomwoudenberg/intro-titanic", "kernel_id": "127523"}, {"ref": "simonta/notebookdc69fd39a1", "kernel_id": "130500"}, {"ref": "hiller/notebook4543b6162e", "kernel_id": "127434"}, {"ref": "sunillimbu/a-journey-through-titanic-a9d534e3", "kernel_id": "173872"}, {"ref": "sunillimbu/a-journey-through-titanic", "kernel_id": "173667"}, {"ref": "sanqianshuij/notebook9c394cd5e5", "kernel_id": "210692"}, {"ref": "sanqianshuij/notebook4d1f8cbad4", "kernel_id": "210695"}, {"ref": "sanqianshuij/notebookfedada3bc0", "kernel_id": "210696"}, {"ref": "sanqianshuij/notebooke299a92e74", "kernel_id": "180715"}, {"ref": "auygur/exploring-survival-on-the-titanic", "kernel_id": "152231"}, {"ref": "sammhy/titanic-py", "kernel_id": "136521"}, {"ref": "steffanj/titanic-preprocessing-eda-and-ml-in-python", "kernel_id": "233334"}, {"ref": "steffanj/networking-the-titanic-using-keras-ann-in-python", "kernel_id": "238326"}, {"ref": "andrewcrab/notebook7b64a62062", "kernel_id": "127507"}, {"ref": "kenanihuiyuan/random-forest-benchmark-python", "kernel_id": "129248"}, {"ref": "nikhilmannan/notebookba881c7a5f", "kernel_id": "182364"}, {"ref": "nikhilmannan/notebook677f50ab6b", "kernel_id": "182359"}, {"ref": "nikhilmannan/notebookf259a4696c", "kernel_id": "182348"}, {"ref": "alanoud1/my-first-kernel-titanic", "kernel_id": "270794"}, {"ref": "thechirayu/a-journey-through-titanic", "kernel_id": "127576"}, {"ref": "thechirayu/a-journey-through-titanic-d33e0a59", "kernel_id": "127585"}, {"ref": "amsonu99/my-first-script", "kernel_id": "220964"}, {"ref": "mf1633040/the-first", "kernel_id": "130314"}, {"ref": "himani90/a-journey-through-titanic", "kernel_id": "129353"}, {"ref": "himani90/a-journey-through-titanic-d4fa423f", "kernel_id": "139935"}, {"ref": "raydzhao/titanic-best-working-classifier", "kernel_id": "144102"}, {"ref": "narasimhanchenduru/a-journey-through-titanic", "kernel_id": "129118"}, {"ref": "deningteng/notebook02d59acd35", "kernel_id": "127700"}, {"ref": "harishgargprince/notebook89cf74ebe8", "kernel_id": "133501"}, {"ref": "xenophon/exploring-survival-on-the-titanic", "kernel_id": "127804"}, {"ref": "alfazick/partial-dependence-plots", "kernel_id": "812734"}, {"ref": "yusuf87/yusuf871", "kernel_id": "131395"}, {"ref": "yusuf87/yusuf87", "kernel_id": "131392"}, {"ref": "honeyrose/notebookdf9c9a6a29", "kernel_id": "128010"}, {"ref": "adrianbureu/testrun", "kernel_id": "127981"}, {"ref": "adrianbureu/another-test", "kernel_id": "132612"}, {"ref": "kristotruu/notebookf192c2ef77", "kernel_id": "132151"}, {"ref": "changjunzhu/notebookfeafb02963", "kernel_id": "128195"}, {"ref": "jpcolomer/notebook1a8750e783", "kernel_id": "166714"}, {"ref": "isaacdayan/predicting-titanic-survival-rates", "kernel_id": "201303"}, {"ref": "isaacdayan/notebook789c454b9a", "kernel_id": "203173"}, {"ref": "arjunsk1997/titanic-ml", "kernel_id": "276598"}, {"ref": "yonghuang/testtest", "kernel_id": "128850"}, {"ref": "triplebee/a-journey-through-titanic", "kernel_id": "129437"}, {"ref": "robertlexis/a-journey-through-titanic", "kernel_id": "129212"}, {"ref": "orbanjan/exploring-survival-on-the-titanic-new", "kernel_id": "129741"}, {"ref": "nbvcxz/a-journey-through-titanic-b5dbba37", "kernel_id": "180900"}, {"ref": "nbvcxz/a-journey-through-titanic", "kernel_id": "128511"}, {"ref": "nbvcxz/a-journey-through-titanic-60917252", "kernel_id": "128513"}, {"ref": "aspanesar/roy-s-titanic-notebook", "kernel_id": "132531"}, {"ref": "aspanesar/notebook877c58ceea", "kernel_id": "132534"}, {"ref": "aspanesar/roy-s-titanic-notebook-af63e18a", "kernel_id": "132539"}, {"ref": "aspanesar/notebook714cb6968d", "kernel_id": "132457"}, {"ref": "aspanesar/a-journey-through-titanic-3f4546fc", "kernel_id": "133072"}, {"ref": "mlfeng/fork-of-a-journey-through-titanic-bbc29805", "kernel_id": "133481"}, {"ref": "mlfeng/a-journey-through-titanic-bbc29805", "kernel_id": "132944"}, {"ref": "dorothy2846/first-test", "kernel_id": "151762"}, {"ref": "tovarischsukhov/notebook7d6fa51b20", "kernel_id": "196886"}, {"ref": "tovarischsukhov/first-steps-in-datascience", "kernel_id": "196888"}, {"ref": "wanman/roy-s-titanic-notebook", "kernel_id": "128643"}, {"ref": "wanman/a-journey-through-titanic", "kernel_id": "129535"}, {"ref": "jewei1997/my-first-one", "kernel_id": "204715"}, {"ref": "toadtoadtoad/superduper", "kernel_id": "128774"}, {"ref": "toadtoadtoad/test3", "kernel_id": "129870"}, {"ref": "toadtoadtoad/original-teammate", "kernel_id": "130430"}, {"ref": "toadtoadtoad/newwwww", "kernel_id": "132631"}, {"ref": "amosgreat/roy-s-titanic-notebook", "kernel_id": "130081"}, {"ref": "macintoshx/titanic-mix-of-techniques-explanations", "kernel_id": "129424"}, {"ref": "macintoshx/study-of-tree-and-forest-algorithms-c161b9bb", "kernel_id": "130677"}, {"ref": "macintoshx/exploratory-tutorial-titanic-c3333d23", "kernel_id": "130749"}, {"ref": "macintoshx/a-journey-through-titanic-82322fdb", "kernel_id": "130253"}, {"ref": "ygh2016/ohohoh", "kernel_id": "128932"}, {"ref": "tapatiolookalikeguy/notebookdb48545a3e", "kernel_id": "130731"}, {"ref": "eastdong/notebook294e526244", "kernel_id": "134879"}, {"ref": "eastdong/notebook2a91396f03", "kernel_id": "134877"}, {"ref": "scutalex/titanic-data-science-solutions", "kernel_id": "224342"}, {"ref": "wzimmz/notebook1d745915ad", "kernel_id": "140041"}, {"ref": "wzimmz/titanic", "kernel_id": "137255"}, {"ref": "wzimmz/keras", "kernel_id": "151122"}, {"ref": "hemant1456/titanic-data-science-solutions", "kernel_id": "184982"}, {"ref": "hemant1456/a-journey-through-titanic", "kernel_id": "196146"}, {"ref": "mandargadre/notebook05e3ffa82a", "kernel_id": "273993"}, {"ref": "jithinpradeep/notebook7363bf7e1d", "kernel_id": "141274"}, {"ref": "jithinpradeep/notebookc3fc7cb638", "kernel_id": "141477"}, {"ref": "jithinpradeep/notebookb2b717e67f", "kernel_id": "141474"}, {"ref": "aloktyagi1986/titanic-alok", "kernel_id": "131284"}, {"ref": "mmiche/notebook85880d14ae", "kernel_id": "131304"}, {"ref": "mgudipati/initial-exploration-and-basic-predictions", "kernel_id": "137477"}, {"ref": "srutijain/titanic-best-working-classifier", "kernel_id": "141499"}, {"ref": "geekie2410/a-journey-through-titanic", "kernel_id": "159210"}, {"ref": "rodgzilla/a-journey-through-titanic", "kernel_id": "132116"}, {"ref": "atrius21/titanic-data-science-solutions", "kernel_id": "171637"}, {"ref": "atrius21/titanic-data-science-solutions-b93c60", "kernel_id": "191536"}, {"ref": "duxin29/a-journey-through-titanic", "kernel_id": "129332"}, {"ref": "bobzhao/notebook1e2bb7869f", "kernel_id": "129343"}, {"ref": "ohs2033/a-journey-through-titanic", "kernel_id": "129444"}, {"ref": "ohs2033/a-journey-through-titanic-1de2d19d", "kernel_id": "129510"}, {"ref": "rmor83/notebooka1d82397e2", "kernel_id": "130228"}, {"ref": "samcomma/notebook2f4a340dc0", "kernel_id": "129597"}, {"ref": "gangsenli/titanic-random-forest-82-78", "kernel_id": "180817"}, {"ref": "gangsenli/notebook3fc496165d", "kernel_id": "179818"}, {"ref": "gangsenli/an-interactive-data-science-tutorial", "kernel_id": "177762"}, {"ref": "cshlj199/notebook47426a14f6", "kernel_id": "130035"}, {"ref": "cshlj199/notebook7596ec536d", "kernel_id": "131117"}, {"ref": "amineba/notebookbf4aba1ca6", "kernel_id": "210490"}, {"ref": "lakshmikanthg33/a-journey-through-titanic", "kernel_id": "129583"}, {"ref": "muminmohammed/a-journey-through-titanic", "kernel_id": "129628"}, {"ref": "gasquit/notebook89c06cbf28", "kernel_id": "132581"}, {"ref": "gasquit/notebook6aa831a21d", "kernel_id": "134409"}, {"ref": "gasquit/notebook5ffaa18dfe", "kernel_id": "134406"}, {"ref": "gasquit/lz-take-on-titantic", "kernel_id": "134562"}, {"ref": "mboker/installed-python-packages", "kernel_id": "188391"}, {"ref": "aloff41/titanic", "kernel_id": "134416"}, {"ref": "whawkinsdev/a-journey-through-titanic", "kernel_id": "129723"}, {"ref": "marcususus/notebook009c052619", "kernel_id": "130559"}, {"ref": "unnat5/notebook4b2a047782", "kernel_id": "218631"}, {"ref": "branfordswbf/hello-kaggle", "kernel_id": "129832"}, {"ref": "fjapfv/titanictest1", "kernel_id": "129994"}, {"ref": "ebennett19/an-interactive-data-science-tutorial", "kernel_id": "175207"}, {"ref": "vanishcrow/exploring-survival-on-the-titanic", "kernel_id": "129892"}, {"ref": "nfojunky/notebookd976a68fac", "kernel_id": "257314"}, {"ref": "nfojunky/starting-out-with-a-disaster", "kernel_id": "257773"}, {"ref": "jdautel/first-kaggle-notebook", "kernel_id": "130726"}, {"ref": "mintong/fork-of-titanic-random-forest-79-4399d7", "kernel_id": "184433"}, {"ref": "mintong/fork-of-titanic-random-forest-79", "kernel_id": "184387"}, {"ref": "kuomo6/fork-of-notebook7ae98a52b3", "kernel_id": "184276"}, {"ref": "kuomo6/titanic-yy-test", "kernel_id": "166599"}, {"ref": "kuomo6/notebook7ae98a52b3", "kernel_id": "166614"}, {"ref": "mcamack/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "160895"}, {"ref": "zytzwt/notebookea09e6a56b", "kernel_id": "140489"}, {"ref": "zytzwt/notebookaddde1bcb1", "kernel_id": "140490"}, {"ref": "zytzwt/notebookaf2830a858", "kernel_id": "140552"}, {"ref": "johanvandenheuvel/titanic-machine-learning-from-disaster", "kernel_id": "130504"}, {"ref": "freesixth/notebook85cfbc700f", "kernel_id": "141117"}, {"ref": "freesixth/a-journey-through-titanic", "kernel_id": "136575"}, {"ref": "handlong/notebooke966e52d88", "kernel_id": "142547"}, {"ref": "shivendra91/rolling-in-the-deep", "kernel_id": "207850"}, {"ref": "mihaque313/the-gender-class-based-analysis-for-survival", "kernel_id": "219194"}, {"ref": "mihaque313/first-submission-to-titanic-problem", "kernel_id": "218557"}, {"ref": "thedirgni/a-journey-through-titanic", "kernel_id": "130518"}, {"ref": "cloudchen/notebook2034549d2b", "kernel_id": "130318"}, {"ref": "cloudchen/titanic", "kernel_id": "130319"}, {"ref": "tomekster/titanic-survival-prediction-end-to-end-ml-p-3859b9", "kernel_id": "247547"}, {"ref": "richardnguyen/notebook1042396826", "kernel_id": "212930"}, {"ref": "richardnguyen/titanic", "kernel_id": "212932"}, {"ref": "xiaocong1990/notebookdcaf3f48ad", "kernel_id": "184325"}, {"ref": "xiaocong1990/notebook25e74c5de0", "kernel_id": "183349"}, {"ref": "gopietz/try-1", "kernel_id": "135843"}, {"ref": "gopietz/notebookbc8fc2d34a", "kernel_id": "135895"}, {"ref": "gopietz/next-try", "kernel_id": "135899"}, {"ref": "maqboolkhan/a-journey-through-titanic-test", "kernel_id": "130424"}, {"ref": "jpetrovska/titanic", "kernel_id": "130464"}, {"ref": "blessonthomas/a-journey-through-titanic", "kernel_id": "135155"}, {"ref": "abhash6295/notebook0fe9ef505a", "kernel_id": "213125"}, {"ref": "andersboje/a-journey-through-titanic", "kernel_id": "131528"}, {"ref": "goldenmetric/a-journey-through-titanic", "kernel_id": "130783"}, {"ref": "miroli/a-journey-through-titanic", "kernel_id": "130547"}, {"ref": "moustafab/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "160108"}, {"ref": "manuelsanchez/titanic-random-forest-my-first-notebook", "kernel_id": "187098"}, {"ref": "laparrala/first", "kernel_id": "130551"}, {"ref": "choychoy/titanic", "kernel_id": "179754"}, {"ref": "mds747/notebook2db0fb4d93", "kernel_id": "168913"}, {"ref": "mds747/notebookeb62bb2d48", "kernel_id": "168891"}, {"ref": "mds747/notebook6298017be4", "kernel_id": "168886"}, {"ref": "mds747/notebookd6cdc0dfca", "kernel_id": "168878"}, {"ref": "dipsav/exploring-survival-on-the-titanic", "kernel_id": "130610"}, {"ref": "isidro/a-journey-through-titanic", "kernel_id": "184513"}, {"ref": "isidro/a-journey-through-titanic-cc6403", "kernel_id": "190738"}, {"ref": "sarahsk12/notebooke618279550", "kernel_id": "130669"}, {"ref": "macintoshxa/study-of-tree-and-forest-algorithms", "kernel_id": "130680"}, {"ref": "thodoha/a-journey-through-titanic", "kernel_id": "130828"}, {"ref": "thodoha/a-journey-through-titanic-12e90dda", "kernel_id": "131247"}, {"ref": "thodoha/a-journey-through-titanic-1e53be6b", "kernel_id": "131198"}, {"ref": "rafaelpr/prediction-about-the-disaster", "kernel_id": "164327"}, {"ref": "rafaelpr/fork-of-notebook23a6110d74", "kernel_id": "164346"}, {"ref": "anandkapdi/a-journey-through-titanic", "kernel_id": "130798"}, {"ref": "lzy1845/a-journey-through-titanic", "kernel_id": "140783"}, {"ref": "pneelamr/notebook36fee083ab", "kernel_id": "143139"}, {"ref": "akawai/notebook40add6b79e", "kernel_id": "133991"}, {"ref": "dishajindal/notebookedfe97f59f", "kernel_id": "141497"}, {"ref": "dishajindal/a-journey-through-titanic-389a3f85", "kernel_id": "142324"}, {"ref": "dishajindal/script2-py", "kernel_id": "141836"}, {"ref": "dishajindal/a-journey-through-titanic", "kernel_id": "131418"}, {"ref": "dishajindal/script-py", "kernel_id": "131449"}, {"ref": "knowhurt/notebook1a15146561", "kernel_id": "153353"}, {"ref": "knowhurt/notebookb8c815d1f1", "kernel_id": "153002"}, {"ref": "knowhurt/firstblud", "kernel_id": "152582"}, {"ref": "chegnlei/a-journey-through-titanic", "kernel_id": "190687"}, {"ref": "chegnlei/notebook8e0822f821", "kernel_id": "196600"}, {"ref": "arindamrouth/a-journey-through-titanic", "kernel_id": "130978"}, {"ref": "andosandor601/notebook0a54514ca4", "kernel_id": "130999"}, {"ref": "behindthelines/survival-on-the-titanic-with-decision-trees", "kernel_id": "404283"}, {"ref": "fannnie/baobi", "kernel_id": "388939"}, {"ref": "pauljouhaud/introduction-to-data-science", "kernel_id": "428022"}, {"ref": "pauljouhaud/introduction-to-machine-learning", "kernel_id": "428089"}, {"ref": "mikkokemppainen/elementary-predictions-for-titanic-survival", "kernel_id": "159271"}, {"ref": "navinbhaskar/titanic-data-science-solutions", "kernel_id": "188026"}, {"ref": "bohdanzhylavksyi/bodzekz", "kernel_id": "131220"}, {"ref": "curzytekp/notebook5b9e5d24fe", "kernel_id": "135553"}, {"ref": "curzytekp/notebook11b11aa0b4", "kernel_id": "135541"}, {"ref": "victorhe/a-journey-through-titanic", "kernel_id": "141331"}, {"ref": "victorhe/a-journey-through-titanic-36851d58", "kernel_id": "140947"}, {"ref": "zkomor/exploring-survival-on-the-titanic", "kernel_id": "131377"}, {"ref": "mrstruggler/trial", "kernel_id": "258362"}, {"ref": "tommasobertola/first-try", "kernel_id": "131359"}, {"ref": "regggg/notebookbd8f93088e", "kernel_id": "144106"}, {"ref": "brian96057/fork-of-a-journey-through-titanic-e25d490e", "kernel_id": "133073"}, {"ref": "brian96057/a-journey-through-titanic", "kernel_id": "133063"}, {"ref": "badisengin/notebook29e16bd787", "kernel_id": "228237"}, {"ref": "manukag/a-journey-through-titanic", "kernel_id": "137813"}, {"ref": "sefagurel/a-journey-through-titanic-ebebab67", "kernel_id": "132074"}, {"ref": "sefagurel/exploring-survival-on-the-titanic", "kernel_id": "131522"}, {"ref": "georgeyacoub/notebook9e8df3e83a", "kernel_id": "232993"}, {"ref": "foenix/notebook6f9d6f2ab5", "kernel_id": "141518"}, {"ref": "foenix/very-basic-titanic-feature-training-and-detection", "kernel_id": "141597"}, {"ref": "vincentvm/notebookb6db78f5ac", "kernel_id": "368260"}, {"ref": "thanushkodi/notebook5e59c6ed9e", "kernel_id": "202461"}, {"ref": "singhv/titanic-data-science-solutions", "kernel_id": "209763"}, {"ref": "haichenliu/a-journey-through-titanic", "kernel_id": "164136"}, {"ref": "aviformat/notebooked3d135921", "kernel_id": "213044"}, {"ref": "crealegeno/exploring-survival-on-the-titanic", "kernel_id": "131677"}, {"ref": "israelpederson/titanic-data-analysis-and-machine-learning", "kernel_id": "156891"}, {"ref": "akhil4711/notebooke67b615a58", "kernel_id": "280490"}, {"ref": "gunjan17/notebook059236bd87", "kernel_id": "137523"}, {"ref": "gunjan17/gunjantitanic", "kernel_id": "137526"}, {"ref": "gunjan17/gunjantailor", "kernel_id": "157276"}, {"ref": "gunjan17/notebooka3a45c05ac", "kernel_id": "225506"}, {"ref": "gunjan17/titanic-knn", "kernel_id": "280228"}, {"ref": "gunjan17/prediction-via-various-regression-methods", "kernel_id": "266149"}, {"ref": "gunjan17/notebook729e70d57f", "kernel_id": "256131"}, {"ref": "gunjan17/prediction-of-survival-via-linear-regression", "kernel_id": "236390"}, {"ref": "gunjan17/notebook84aaef1d21", "kernel_id": "238843"}, {"ref": "gunjan17/mytitanicsolution", "kernel_id": "136738"}, {"ref": "gunjan17/mytitanicsolution1", "kernel_id": "136745"}, {"ref": "plcedoz/notebook391ae306e8", "kernel_id": "131923"}, {"ref": "plcedoz/notebook8f0d212997", "kernel_id": "131921"}, {"ref": "plcedoz/notebook8639f884c7", "kernel_id": "132351"}, {"ref": "plcedoz/fork-of-notebook8639f884c7-8d0970ef", "kernel_id": "133429"}, {"ref": "plcedoz/fork-of-notebook8639f884c7-d27ee524", "kernel_id": "133431"}, {"ref": "plcedoz/fork-of-notebook8639f884c7-0acb74e4", "kernel_id": "134184"}, {"ref": "plcedoz/fork-of-notebook8639f884c7-359ba454", "kernel_id": "133870"}, {"ref": "plcedoz/fork-of-fork-of-notebook8639f884c7-0acb74e4", "kernel_id": "134546"}, {"ref": "yizhouwang/exploring-survival-on-the-titanic", "kernel_id": "142931"}, {"ref": "shirishverma/titanic-using-random-forest", "kernel_id": "291851"}, {"ref": "kesavahariprasad/notebooka90002eae8", "kernel_id": "193140"}, {"ref": "sid9820/start1", "kernel_id": "132053"}, {"ref": "matslp/an-interactive-data-science-tutorial", "kernel_id": "172592"}, {"ref": "willibuddy/notebook0e7d810672", "kernel_id": "215519"}, {"ref": "williamgrimes/notebookd6450880bb", "kernel_id": "135167"}, {"ref": "achilles2016/hello", "kernel_id": "132214"}, {"ref": "truizm/a-journey-through-titanic", "kernel_id": "132389"}, {"ref": "durron9/notebookb2d426828d", "kernel_id": "200714"}, {"ref": "caliphcheng/titanic-analysis-using-r", "kernel_id": "215619"}, {"ref": "roboboy/notebookbb749c04c0", "kernel_id": "132422"}, {"ref": "felixt/introduction-to-ensembling-stacking-in-python", "kernel_id": "183373"}, {"ref": "jkibele/a-journey-through-titanic", "kernel_id": "132454"}, {"ref": "dohkim/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "163076"}, {"ref": "rockking126/titanic-version2", "kernel_id": "145966"}, {"ref": "xgymzxc/a-journey-through-titanic-84149081", "kernel_id": "151590"}, {"ref": "billwarker/notebook6a90461ce9", "kernel_id": "255703"}, {"ref": "ykmemo/notebook1caaefeb75", "kernel_id": "201549"}, {"ref": "krishanudb/feature-engineering-and-several-ml-algos", "kernel_id": "202168"}, {"ref": "dazedconfused/notebook5beb022fec", "kernel_id": "136641"}, {"ref": "kmmohsin/titanic-my-first-ml-project", "kernel_id": "353939"}, {"ref": "mansiib/notebook7a0601749a", "kernel_id": "133041"}, {"ref": "elshera/titanic-dataset-predicting-survivals", "kernel_id": "151490"}, {"ref": "rivinwita/my-first-kaggle-code", "kernel_id": "132801"}, {"ref": "rivinwita/exploring-survival-on-the-titanic-test", "kernel_id": "132812"}, {"ref": "nookej/a-journey-through-titanic", "kernel_id": "132840"}, {"ref": "clempear/notebookc7b31734c7", "kernel_id": "132873"}, {"ref": "ff4415/a-slightly-touch-to-titanic", "kernel_id": "196929"}, {"ref": "srilathak/notebook039e13b8c0", "kernel_id": "133377"}, {"ref": "mateuszjanczura/notebook46ec982881", "kernel_id": "206275"}, {"ref": "cognito/test-notebook", "kernel_id": "142579"}, {"ref": "chiralcarbon/notebook07d31fbf23", "kernel_id": "223671"}, {"ref": "abiam222/notebooke1788da2b3", "kernel_id": "242696"}, {"ref": "josiee/notebookacc22cc4c2", "kernel_id": "134554"}, {"ref": "pradeeprrevankar/simple-1", "kernel_id": "133027"}, {"ref": "kulprit5/titanic-test", "kernel_id": "212485"}, {"ref": "kulprit5/notebook59fdaeb080", "kernel_id": "212360"}, {"ref": "makariosylvia/a-journey-through-titanic-4ab9a240", "kernel_id": "135975"}, {"ref": "makariosylvia/a-journey-through-titanic", "kernel_id": "135969"}, {"ref": "makariosylvia/titanic-best-working-classifier", "kernel_id": "135971"}, {"ref": "makariosylvia/a-journey-through-titanic-e69d4aed", "kernel_id": "135972"}, {"ref": "ajdelavegaf/titanic", "kernel_id": "247270"}, {"ref": "brinzikb/a-journey-through-titanic", "kernel_id": "210894"}, {"ref": "alexstr/simple-comparison-catboost-rf-lr-gb-lb-0-80", "kernel_id": "397093"}, {"ref": "alex09fc/titanic-01", "kernel_id": "464255"}, {"ref": "alex09fc/titanic-bigginer-kernel-using-machine-learning", "kernel_id": "466055"}, {"ref": "andyquint/yet-another-beginning-titanic-entry", "kernel_id": "141798"}, {"ref": "andyquint/notebookdd7256a3e2", "kernel_id": "140980"}, {"ref": "dataway/notebook2c353406a7", "kernel_id": "144595"}, {"ref": "neilslab/titanic-voting-ensemble", "kernel_id": "275474"}, {"ref": "amodi8/titanic-exploring-survival-using-machine-learning", "kernel_id": "665925"}, {"ref": "ablome/notebook9ce1c2a2b6", "kernel_id": "133708"}, {"ref": "jdlc106/notebook4633fa3063", "kernel_id": "133666"}, {"ref": "jdlc106/a-journey-through-titanic", "kernel_id": "133669"}, {"ref": "jdlc106/notebooke705fcba15", "kernel_id": "133660"}, {"ref": "jdlc106/reforest", "kernel_id": "133657"}, {"ref": "jdlc106/notebookf3ef29ca97", "kernel_id": "133548"}, {"ref": "jdlc106/notebook07dccee3bb", "kernel_id": "133546"}, {"ref": "sichuanfju/a-journey-through-titanic", "kernel_id": "144944"}, {"ref": "sichuanfju/notebook10aec56245", "kernel_id": "145017"}, {"ref": "sichuanfju/notebook3901eaa837", "kernel_id": "144948"}, {"ref": "sichuanfju/my-first-try-titanic", "kernel_id": "144950"}, {"ref": "sichuanfju/notebook85ac38c49a", "kernel_id": "144952"}, {"ref": "sichuanfju/notebookf8e504399c", "kernel_id": "144953"}, {"ref": "sichuanfju/fork-of-notebookd1150f4400-60b2fa7f", "kernel_id": "145136"}, {"ref": "sichuanfju/fork-of-notebookd1150f4400-bc16356b", "kernel_id": "145137"}, {"ref": "sichuanfju/have-a-first-try-titanic", "kernel_id": "145130"}, {"ref": "sichuanfju/notebook3e671f198c", "kernel_id": "243134"}, {"ref": "sichuanfju/notebook2565ecd872", "kernel_id": "243135"}, {"ref": "sichuanfju/notebook11b44ce84b", "kernel_id": "134019"}, {"ref": "amitsr/notebook86a34415e2", "kernel_id": "135288"}, {"ref": "stenithomas/exploring-survival-on-the-titanic", "kernel_id": "133621"}, {"ref": "vvosadchy/a-journey-through-titanic", "kernel_id": "133740"}, {"ref": "typenull/notebookfac6945e99", "kernel_id": "134273"}, {"ref": "vish96/helloooo", "kernel_id": "146539"}, {"ref": "vish96/notebookef01df4fe1", "kernel_id": "146527"}, {"ref": "venky14/titanic-data-science-solutions", "kernel_id": "302574"}, {"ref": "caaarlos1/notebook748dd1a8d5", "kernel_id": "277754"}, {"ref": "adiamb/notebookdcb4705949", "kernel_id": "154866"}, {"ref": "adiamb/titanic-survival-my-way", "kernel_id": "154870"}, {"ref": "jaeseung/notebookfaaadba780", "kernel_id": "133830"}, {"ref": "pstavro/notebookb1ba8ae087", "kernel_id": "145770"}, {"ref": "christopherkrakenmc/test-titanic", "kernel_id": "144288"}, {"ref": "basilis/titanic-once-again", "kernel_id": "227504"}, {"ref": "yusongtan/titanic-a-new-beginning-part-2", "kernel_id": "162092"}, {"ref": "yusongtan/titanic-a-new-beginning-part-1", "kernel_id": "151418"}, {"ref": "yusongtan/titanic-analysis", "kernel_id": "134769"}, {"ref": "artirj/yet-another-analysis-of-the-titanic-dataset", "kernel_id": "141589"}, {"ref": "artirj/an-analysis-of-the-titanic-dataset", "kernel_id": "141583"}, {"ref": "artirj/yet-another-titanic-dataset-analysis", "kernel_id": "142508"}, {"ref": "raka747/notebook663229dfc5", "kernel_id": "133968"}, {"ref": "raka747/exploring-survival-on-the-titanic", "kernel_id": "133970"}, {"ref": "divya99/notebook458a3955fc", "kernel_id": "227613"}, {"ref": "nikolaizv/exploring-survival-on-the-titanic", "kernel_id": "161180"}, {"ref": "ivash1228/notebook1efe1d8e23", "kernel_id": "134129"}, {"ref": "ivash1228/a-journey-through-titanic", "kernel_id": "134131"}, {"ref": "ivash1228/notebookd5283a3da6", "kernel_id": "134074"}, {"ref": "ivash1228/notebook5772dcc856", "kernel_id": "134076"}, {"ref": "pbpearman/a-journey-through-titanic", "kernel_id": "134170"}, {"ref": "thearchetype/notebook4fb5051aea", "kernel_id": "247077"}, {"ref": "francismariano/notebookdb204d4bb8", "kernel_id": "155973"}, {"ref": "francismariano/notebookf7e69c7c1a", "kernel_id": "155979"}, {"ref": "graham1352/titanic-data-science-solutions", "kernel_id": "263121"}, {"ref": "gaurav2341/notebook49fe98c276", "kernel_id": "134980"}, {"ref": "cgallay/random-forest", "kernel_id": "151918"}, {"ref": "cgallay/a-journey-through-titanic", "kernel_id": "150031"}, {"ref": "igorha/my-machine-learning-titanic-case", "kernel_id": "134480"}, {"ref": "igorha/notebook25ea26c44a", "kernel_id": "134464"}, {"ref": "igorha/notebook0b966e5c4c", "kernel_id": "134462"}, {"ref": "igorha/notebook5dc1d61e29", "kernel_id": "142194"}, {"ref": "ewiwi79/an-interactive-data-science-tutorial", "kernel_id": "220220"}, {"ref": "ewiwi79/titanic-data-science-solutions", "kernel_id": "220222"}, {"ref": "ewiwi79/a-guide-to-titanic-challenge", "kernel_id": "241170"}, {"ref": "ewiwi79/titanic-data-science-solutions-f970db", "kernel_id": "241178"}, {"ref": "mrinmoyhalder/an-interactive-data-science-tutorial", "kernel_id": "184779"}, {"ref": "supratik/titanic", "kernel_id": "221240"}, {"ref": "xpeuler/a-journey-through-titanic-bd2ba399", "kernel_id": "135390"}, {"ref": "xpeuler/a-journey-through-titanic", "kernel_id": "135372"}, {"ref": "mannyizt/exploring-survival-on-the-titanic", "kernel_id": "211155"}, {"ref": "hemingjiang/a-journey-through-titanic", "kernel_id": "150313"}, {"ref": "zhuandniu/titantic", "kernel_id": "134826"}, {"ref": "zhuandniu/titanic", "kernel_id": "137214"}, {"ref": "wanhuachan/notebook85bc83cb93", "kernel_id": "134890"}, {"ref": "bhargvk/asdfg", "kernel_id": "135321"}, {"ref": "mwoody1983/a-journey-through-titanic", "kernel_id": "135844"}, {"ref": "alexconstantinescu/test-py", "kernel_id": "213493"}, {"ref": "pythonist33/notebook96e9ad20c4", "kernel_id": "135003"}, {"ref": "chaoge/chaoge", "kernel_id": "135900"}, {"ref": "lbioath/test1-py", "kernel_id": "202247"}, {"ref": "daumilas/titanic", "kernel_id": "177179"}, {"ref": "cchung1368/notebook95439f775e", "kernel_id": "149087"}, {"ref": "cchung1368/titanic-dataset-trial-1", "kernel_id": "135081"}, {"ref": "anbarroso/notebook8bb75bbdc7", "kernel_id": "276650"}, {"ref": "sharath29/roy-s-titanic-notebook", "kernel_id": "139552"}, {"ref": "zeddus/a-journey-through-titanic", "kernel_id": "149980"}, {"ref": "fbogusz/notebookf681670e12", "kernel_id": "135165"}, {"ref": "fbogusz/notebook9b0f573dba", "kernel_id": "135162"}, {"ref": "kasprzyckit/notebook6e44f080d7", "kernel_id": "135149"}, {"ref": "ccollache/notebookd4fe9a0f87", "kernel_id": "137704"}, {"ref": "ccollache/allochallenge", "kernel_id": "135352"}, {"ref": "jamsterjai/pythanic-please-critique-0-79904", "kernel_id": "299311"}, {"ref": "kshitin/notebook39174d5274", "kernel_id": "228357"}, {"ref": "travcole3/notebook0802b9c90a", "kernel_id": "207572"}, {"ref": "waldo123/exploring-survival-on-the-titanic-test", "kernel_id": "136302"}, {"ref": "waldo123/notebook4621528b33", "kernel_id": "135204"}, {"ref": "kandarp16/titanic-survival-data", "kernel_id": "135253"}, {"ref": "arzths/notebookfc3c646e4c", "kernel_id": "272959"}, {"ref": "habet700/my-first-kaggle-script", "kernel_id": "135255"}, {"ref": "iamniv01/test12", "kernel_id": "216955"}, {"ref": "julykaggle/notebookb7468ecfb7", "kernel_id": "213479"}, {"ref": "delange/a-journey-through-titanic", "kernel_id": "136241"}, {"ref": "twein89/notebook9587f98d87", "kernel_id": "146535"}, {"ref": "twein89/exploratory-tutorial-titanic", "kernel_id": "146583"}, {"ref": "twein89/a-journey-through-titanic", "kernel_id": "146585"}, {"ref": "twein89/fork-of-study-of-tree-and-forest-algorithms", "kernel_id": "147109"}, {"ref": "twein89/study-of-tree-and-forest-algorithms-b3628828", "kernel_id": "147303"}, {"ref": "gffsjr/a-journey-through-titanic", "kernel_id": "137190"}, {"ref": "lockpicker/notebookcae751e62f", "kernel_id": "237824"}, {"ref": "demonsong/a-journey-through-titanic", "kernel_id": "179756"}, {"ref": "rocen1108/titanic-data-science-solutions", "kernel_id": "268778"}, {"ref": "rocen1108/a-journey-through-titanic-32241c2f", "kernel_id": "154545"}, {"ref": "rocen1108/a-journey-through-titanic", "kernel_id": "135730"}, {"ref": "greenbamboo/notebookdbacec5b8f", "kernel_id": "135733"}, {"ref": "greenbamboo/notebook124121af4f", "kernel_id": "135709"}, {"ref": "greenbamboo/tiantic", "kernel_id": "138003"}, {"ref": "greenbamboo/tiantic-train", "kernel_id": "138005"}, {"ref": "a96tudor/a-journey-through-titanic", "kernel_id": "150821"}, {"ref": "sinchuck/notebook6398338b41", "kernel_id": "135711"}, {"ref": "sinchuck/python-test", "kernel_id": "135707"}, {"ref": "shashankkhare/titanic", "kernel_id": "135750"}, {"ref": "dhanish2k/notebook298440e108", "kernel_id": "135762"}, {"ref": "marouaneb/okokok", "kernel_id": "137556"}, {"ref": "rruchala/notebook9fcab4d0f3", "kernel_id": "237440"}, {"ref": "josephrussell/notebook0db4103d36", "kernel_id": "237572"}, {"ref": "josephrussell/titanic-survival-prediction", "kernel_id": "502950"}, {"ref": "josephrussell/titanic-notebook", "kernel_id": "216440"}, {"ref": "lubzo23/titanic-analysis", "kernel_id": "135983"}, {"ref": "lubzo23/exploring-survival-on-the-titanic", "kernel_id": "135987"}, {"ref": "lubzo23/titanic-modelling", "kernel_id": "136005"}, {"ref": "gordonmcmullan/a-journey-through-titanic", "kernel_id": "137443"}, {"ref": "ananthasireesh/notebook931f57fab8", "kernel_id": "205565"}, {"ref": "bogtudose/notebook62bb6a828e", "kernel_id": "195118"}, {"ref": "bogtudose/notebook5e1d526008", "kernel_id": "195119"}, {"ref": "bogtudose/feature-engineering-and-logistic-regression-model", "kernel_id": "195121"}, {"ref": "bogtudose/notebook009c567e8e", "kernel_id": "196178"}, {"ref": "bogtudose/notebookbd4616fb6c", "kernel_id": "193323"}, {"ref": "ganyue246/notebook9cff28b9da", "kernel_id": "137932"}, {"ref": "zahrrim/notebookc95442b453", "kernel_id": "136062"}, {"ref": "zahrrim/kaggle-meetup-01-test", "kernel_id": "136111"}, {"ref": "matthias21/notebook21590b588c", "kernel_id": "136061"}, {"ref": "matthias21/notebook1e44996b6b", "kernel_id": "136058"}, {"ref": "calebkiage/a-journey-through-titanic", "kernel_id": "136460"}, {"ref": "tamigabriely/a-journey-through-titanic", "kernel_id": "136191"}, {"ref": "cstoltze/notebook17964c71ce", "kernel_id": "140542"}, {"ref": "aang998/exploring-survival-on-the-titanic", "kernel_id": "163557"}, {"ref": "keitakun/predicting-survival-on-the-titanic", "kernel_id": "208434"}, {"ref": "eyalarbuz/a-journey-through-titanic-a56ac7c6", "kernel_id": "136594"}, {"ref": "eyalarbuz/a-journey-through-titanic", "kernel_id": "136592"}, {"ref": "tejas2406saxena/a-journey-through-titanic", "kernel_id": "136380"}, {"ref": "tomilsinszki/notebooke5dc8742c8", "kernel_id": "270092"}, {"ref": "amaliyahf/notebook41472e95fd", "kernel_id": "245486"}, {"ref": "jianil726/a-journey-through-titanic", "kernel_id": "137114"}, {"ref": "jmramosfran/an-interactive-data-science-tutorial", "kernel_id": "182577"}, {"ref": "kagglemacx/sklearn1", "kernel_id": "136677"}, {"ref": "daveliew/a-journey-through-titanic", "kernel_id": "136408"}, {"ref": "benhernandez/a-journey-through-titanic", "kernel_id": "138066"}, {"ref": "damonlee/notebook8e1cd36f7d", "kernel_id": "136462"}, {"ref": "banhnuong/notebook6dcbef2d85", "kernel_id": "149186"}, {"ref": "banhnuong/sencond-try", "kernel_id": "149716"}, {"ref": "banhnuong/kaggle-titanic-001-f1ccc1d1", "kernel_id": "149703"}, {"ref": "mindaugasn/fork-of-trying-first-logistic-model", "kernel_id": "166200"}, {"ref": "mindaugasn/fork-of-saving-titanic", "kernel_id": "165934"}, {"ref": "mindaugasn/zombie-4", "kernel_id": "195919"}, {"ref": "borhanvasli/notebook673898bf08", "kernel_id": "177963"}, {"ref": "gajotron/notebookbe12456c41", "kernel_id": "202954"}, {"ref": "tomcusack/a-journey-through-titanic", "kernel_id": "136645"}, {"ref": "qraftec/exploring-survival-on-the-titanic", "kernel_id": "136716"}, {"ref": "adityaecdrid/a-journey-through-titanic", "kernel_id": "187975"}, {"ref": "adityaecdrid/random-forest-classifier-for-a-starter", "kernel_id": "319057"}, {"ref": "knso1011/titanic-comparison-of-classifiers", "kernel_id": "136700"}, {"ref": "hichamel/a-journey-through-titanic", "kernel_id": "148516"}, {"ref": "fufen701/notebookc05b111f2f", "kernel_id": "145160"}, {"ref": "danahkuoi/exploring-the-titanic-dataset", "kernel_id": "180980"}, {"ref": "danahkuoi/exploring-the-titanic", "kernel_id": "180972"}, {"ref": "danahkuoi/notebookedb0fb2622", "kernel_id": "180743"}, {"ref": "bluefrog/a-journey-through-titanic", "kernel_id": "140899"}, {"ref": "drdanialrusdi/notebook2a6e29e192", "kernel_id": "178577"}, {"ref": "drdanialrusdi/notebooke7c76fe9e6", "kernel_id": "169133"}, {"ref": "drdanialrusdi/getting-started", "kernel_id": "200328"}, {"ref": "lubnairshad/fork-of-a-journey-through-titanic-c64dd018", "kernel_id": "137553"}, {"ref": "lubnairshad/a-journey-through-titanic-c64dd018", "kernel_id": "137234"}, {"ref": "lubnairshad/a-journey-through-titanic", "kernel_id": "137209"}, {"ref": "isarth/notebookc8ea80ff82", "kernel_id": "139680"}, {"ref": "isarth/notebook6b7ee15837", "kernel_id": "176310"}, {"ref": "fadhli/exploring-titanic-survival", "kernel_id": "177594"}, {"ref": "malvin050/titanic-best-working-classifier", "kernel_id": "136984"}, {"ref": "jjc295/notebook170399809b", "kernel_id": "139064"}, {"ref": "jjc295/notebookcd6d3b4c13", "kernel_id": "161574"}, {"ref": "jjc295/notebook9792cd808f", "kernel_id": "161570"}, {"ref": "jjc295/notebookb4dbed6ad3", "kernel_id": "158252"}, {"ref": "jjc295/notebook9f3cb7d01c", "kernel_id": "158586"}, {"ref": "lockelee/a-journey-through-titanic", "kernel_id": "138841"}, {"ref": "sswan0629/titanic", "kernel_id": "229746"}, {"ref": "sswan0629/notebookaa6ee408b7", "kernel_id": "229747"}, {"ref": "sswan0629/a-journey-through-titanic", "kernel_id": "137051"}, {"ref": "ksonu6825/train", "kernel_id": "144485"}, {"ref": "ksonu6825/notebook2223343538", "kernel_id": "144494"}, {"ref": "ksonu6825/fork-of-notebook2223343538", "kernel_id": "144590"}, {"ref": "ksonu6825/data-science-project", "kernel_id": "144235"}, {"ref": "dwsudduth/notebookf06c14e35c", "kernel_id": "207536"}, {"ref": "chessbox/notebook45e034dc0f", "kernel_id": "237687"}, {"ref": "aallalxndr/a-journey-through-titanic-my-edition", "kernel_id": "141366"}, {"ref": "aallalxndr/titanic-comparison-of-classifiers", "kernel_id": "140917"}, {"ref": "aallalxndr/a-journey-through-titanic-4af7ca2b", "kernel_id": "140866"}, {"ref": "aallalxndr/notebook61ec7fabc7", "kernel_id": "140932"}, {"ref": "aallalxndr/titanic-best-working-classifier", "kernel_id": "140674"}, {"ref": "lv0123456/titanic", "kernel_id": "185230"}, {"ref": "lv0123456/notebook6a3c7eab3f", "kernel_id": "185133"}, {"ref": "lv0123456/titanic-prediction", "kernel_id": "186075"}, {"ref": "noderaider/notebook892378ee04", "kernel_id": "146948"}, {"ref": "bjurasz/random-forest-benchmark-r", "kernel_id": "137258"}, {"ref": "chiszy/started-with-titanic", "kernel_id": "137405"}, {"ref": "chiszy/a-journey-through-titanic", "kernel_id": "138102"}, {"ref": "sharecj/introduction-to-ensembling-stacking-in-python", "kernel_id": "345234"}, {"ref": "rfliu6/test1", "kernel_id": "156072"}, {"ref": "rfliu6/exploratory-tutorial-titanic", "kernel_id": "155334"}, {"ref": "datanigu/notebookc204fc9dc2", "kernel_id": "157189"}, {"ref": "kuoching/test-20161215", "kernel_id": "137389"}, {"ref": "ricoderks/mytest", "kernel_id": "137479"}, {"ref": "kumarharshvardhan/beginner-s-tutorial-by-beginner-84-47", "kernel_id": "403326"}, {"ref": "lmyabc/notebookaf54091494", "kernel_id": "161186"}, {"ref": "air9872000/a-journey-through-titanic", "kernel_id": "138029"}, {"ref": "air9872000/a-journey-through-titanic-acbe8a6e", "kernel_id": "138089"}, {"ref": "bhaveekraval/a-journey-through-titanic", "kernel_id": "137384"}, {"ref": "dragonabyss/titanic-project-first-project", "kernel_id": "251534"}, {"ref": "dragonabyss/notebook8208b36e42", "kernel_id": "251530"}, {"ref": "dragonabyss/an-interactive-data-science-tutorial", "kernel_id": "251188"}, {"ref": "gtpmurdoc/a-journey-through-titanic", "kernel_id": "138223"}, {"ref": "sherlock2016/an-interactive-data-science-tutorial-810529", "kernel_id": "282784"}, {"ref": "sherlock2016/an-interactive-data-science-tutorial", "kernel_id": "282762"}, {"ref": "cqkh42/notebookf95362244b", "kernel_id": "137669"}, {"ref": "amirho3ein13/a-journey-through-titanic", "kernel_id": "137506"}, {"ref": "ashish21/notebook4a5f2323b5", "kernel_id": "142074"}, {"ref": "hjl240/test-on-titanic", "kernel_id": "177059"}, {"ref": "hjl240/a-journey-through-titanic", "kernel_id": "177138"}, {"ref": "lakshya1605/titanic", "kernel_id": "154311"}, {"ref": "lbdcdb/titanic-prediction-with-tf", "kernel_id": "138217"}, {"ref": "kennygo/notebooke19bb19305", "kernel_id": "137604"}, {"ref": "jason3/titanic-notebook", "kernel_id": "153590"}, {"ref": "sudhirsood/my-first-script", "kernel_id": "138035"}, {"ref": "yding1/mykaggle", "kernel_id": "137641"}, {"ref": "yding1/kaggle-first-try", "kernel_id": "137636"}, {"ref": "yding1/kaggle", "kernel_id": "137638"}, {"ref": "lunzhao/notebookc9f985d1d5", "kernel_id": "180149"}, {"ref": "fedecava/titanic-data-science-solutions", "kernel_id": "265762"}, {"ref": "jmbull/titanic-notebook", "kernel_id": "142500"}, {"ref": "carthycraft/titanic-best-working-classifier", "kernel_id": "140554"}, {"ref": "nikmag/notebookf9f53d19d3", "kernel_id": "226394"}, {"ref": "qianyu3/a-journey-through-titanic", "kernel_id": "140049"}, {"ref": "qianyu3/a-journey-through-titanic-bbf3993e", "kernel_id": "140842"}, {"ref": "soydasm/sadasda", "kernel_id": "144709"}, {"ref": "siddhant7/first-titanic", "kernel_id": "137915"}, {"ref": "rajshah14/a-journey-through-titanic", "kernel_id": "137924"}, {"ref": "n0angel/titanic", "kernel_id": "137973"}, {"ref": "n0angel/winners-and-the-losers", "kernel_id": "137964"}, {"ref": "dhey24/ensemble-of-logistic-and-gradient-boosted", "kernel_id": "182965"}, {"ref": "dhey24/random-forest-classifier-with-new-features", "kernel_id": "176861"}, {"ref": "dhey24/titanic-intro", "kernel_id": "176818"}, {"ref": "spyfeng/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "153235"}, {"ref": "zhanglun/notebooka8c7ce0b86", "kernel_id": "207524"}, {"ref": "richard777/notebook8e7c546e79", "kernel_id": "138135"}, {"ref": "richard777/a-journey-through-titanic", "kernel_id": "141362"}, {"ref": "seabornlee/my-titanic", "kernel_id": "149668"}, {"ref": "hh19940907/mycode", "kernel_id": "138173"}, {"ref": "johnlam/titanic-dataset-and-learning-decision-trees", "kernel_id": "161665"}, {"ref": "johnlam/a-journey-through-titanic-f5ea60dd", "kernel_id": "138495"}, {"ref": "johnlam/a-journey-through-titanic", "kernel_id": "138129"}, {"ref": "nobukatsu123/notebookfb1a849c5a", "kernel_id": "153276"}, {"ref": "vickvickey/notebook4da3b27aac", "kernel_id": "138148"}, {"ref": "mgdscientist/titanic-best-working-classifier", "kernel_id": "138152"}, {"ref": "jingleyang/titanic-first", "kernel_id": "140388"}, {"ref": "xuxiaoyu/exploring-survival-on-the-titanic", "kernel_id": "184270"}, {"ref": "sharpfire/notebook34f9e448a6", "kernel_id": "153990"}, {"ref": "sharpfire/notebook439edf47da", "kernel_id": "157386"}, {"ref": "jtowler/titanic-jt-explore", "kernel_id": "138288"}, {"ref": "nirajw11/notebookcb12a3f640", "kernel_id": "202115"}, {"ref": "nirajw11/titanic-disaster", "kernel_id": "265030"}, {"ref": "leolulu/an-interactive-data-science-tutorial-f6baee", "kernel_id": "217251"}, {"ref": "gabybudel/random-forest-benchmark-r", "kernel_id": "138965"}, {"ref": "hxstar/titanic-try", "kernel_id": "142735"}, {"ref": "hxstar/titaniccompetition", "kernel_id": "144500"}, {"ref": "hxstar/notebook7612dbb31a", "kernel_id": "144469"}, {"ref": "hxstar/titanic-third-submission", "kernel_id": "144634"}, {"ref": "hxstar/notebook894affc086", "kernel_id": "144579"}, {"ref": "hxstar/titanic-randomforestclassifier-1000", "kernel_id": "144935"}, {"ref": "hxstar/titanic-submission-4-randomforestclassifier", "kernel_id": "144925"}, {"ref": "hxstar/titanic-logisticreg-1", "kernel_id": "144928"}, {"ref": "hxstar/titanic-submission-3-randomforestclassifier", "kernel_id": "144923"}, {"ref": "pugachag/notebooke34417a5e6", "kernel_id": "185611"}, {"ref": "truongquybrvt96/exploring-survival-on-the-titanic", "kernel_id": "138492"}, {"ref": "poornimaarun/titanic-random-forest-82-78", "kernel_id": "177407"}, {"ref": "poornimaarun/notebook7bf153dca4", "kernel_id": "177034"}, {"ref": "uzuru99/titanic-classification-uzuru99", "kernel_id": "138525"}, {"ref": "vitalikarpovich/vitalik", "kernel_id": "151934"}, {"ref": "rajfal/an-interactive-data-science-tutorial", "kernel_id": "191836"}, {"ref": "kouchakyazdi/a-journey-through-titanic-897568a5", "kernel_id": "177019"}, {"ref": "kouchakyazdi/a-journey-through-titanic-7abaece7", "kernel_id": "176390"}, {"ref": "kouchakyazdi/a-journey-through-titanic", "kernel_id": "176381"}, {"ref": "toanngo/notebookfa51ae4ca8", "kernel_id": "231669"}, {"ref": "kallevato/titanic-test", "kernel_id": "138693"}, {"ref": "highroom/notebook382a6b09cb", "kernel_id": "138732"}, {"ref": "redoul/salvum-fac-populum-dilexit-titan", "kernel_id": "138753"}, {"ref": "heavenh3ll/titanic1", "kernel_id": "225725"}, {"ref": "braxto1/titanic-data-science-solutions-6acbc7e7", "kernel_id": "173061"}, {"ref": "braxto1/first-time-w-titanic-dataset", "kernel_id": "173035"}, {"ref": "braxto1/titanic-data-science-solutions", "kernel_id": "173031"}, {"ref": "ccmachine/notebookc1ed31217e", "kernel_id": "141142"}, {"ref": "tangyao0792/a-journey-through-titanic", "kernel_id": "143001"}, {"ref": "rashigupta16/titanic-data-science-solutions", "kernel_id": "191918"}, {"ref": "rashigupta16/titanic-random-forest-82-78", "kernel_id": "190937"}, {"ref": "usatie/titanic-test-py", "kernel_id": "189457"}, {"ref": "laurenceegan/a-journey-through-titanic", "kernel_id": "139046"}, {"ref": "laurenceegan/a-journey-through-titanic-aad1adde", "kernel_id": "139698"}, {"ref": "salamandera/notebooka4e3a48efc", "kernel_id": "147732"}, {"ref": "krishnachaitanya1/a-journey-through-titanic", "kernel_id": "139078"}, {"ref": "krishnachaitanya1/a-journey-through-titanic-23cf8aaa", "kernel_id": "163588"}, {"ref": "nlevine/notebookc9e6d642d9", "kernel_id": "142244"}, {"ref": "andreaschandra/rfb-renew-by-plot", "kernel_id": "144664"}, {"ref": "lucksd/titanic-survival-demo-1", "kernel_id": "239316"}, {"ref": "imrishabhgupta/titanic", "kernel_id": "139559"}, {"ref": "hbracho/notebook6122181eac", "kernel_id": "170608"}, {"ref": "hbracho/titatnic-test", "kernel_id": "170558"}, {"ref": "jordanbrobots/notebook674a708514", "kernel_id": "139147"}, {"ref": "wdmtrader/notebook3bbe6a1393", "kernel_id": "139176"}, {"ref": "pdeosthali/attempt1", "kernel_id": "276152"}, {"ref": "colossus23/agetest", "kernel_id": "143610"}, {"ref": "irangaw/a-journey-through-titanic", "kernel_id": "139614"}, {"ref": "kevinwern/notebook9fef563fc5", "kernel_id": "238660"}, {"ref": "kevinwern/notebookeba6323750", "kernel_id": "238661"}, {"ref": "kevinwern/notebook350afc4959", "kernel_id": "238662"}, {"ref": "vmihaylov/titanic-survival", "kernel_id": "341898"}, {"ref": "liyufeiat001/notebookddf6263a51", "kernel_id": "162487"}, {"ref": "liyufeiat001/notebooka90c5df1ee", "kernel_id": "163210"}, {"ref": "liyufeiat001/notebook753584373e", "kernel_id": "163227"}, {"ref": "abao00/titanic-test", "kernel_id": "139441"}, {"ref": "abao00/titanic-project", "kernel_id": "139434"}, {"ref": "laofish/a-journey-through-titanic", "kernel_id": "139561"}, {"ref": "solidorange/first-try", "kernel_id": "257225"}, {"ref": "solidorange/notebook66690460da", "kernel_id": "272760"}, {"ref": "solidorange/notebookb779753c16", "kernel_id": "271894"}, {"ref": "trolock/notebookc4cdf826c0", "kernel_id": "191931"}, {"ref": "trolock/titanic-attemp", "kernel_id": "191933"}, {"ref": "kortashatem/an-interactive-data-science-tutorial", "kernel_id": "230119"}, {"ref": "to0dd3o/notebookb41a64de50", "kernel_id": "208714"}, {"ref": "a3rao1/a-journey-through-titanic", "kernel_id": "179573"}, {"ref": "aakashbhowmick/notebook52e33d52a9", "kernel_id": "219806"}, {"ref": "kangkang1/aaaaa", "kernel_id": "140587"}, {"ref": "neroxiao/testscript", "kernel_id": "166708"}, {"ref": "yonatan365/an-interactive-data-science-tutorial", "kernel_id": "178786"}, {"ref": "yonatan365/notebook802d8963b2", "kernel_id": "179914"}, {"ref": "andreimunteanu/notebookfbf7622ddd", "kernel_id": "154822"}, {"ref": "andreimunteanu/notebookdf17c9f468", "kernel_id": "154818"}, {"ref": "ambikanair/exploring-survival-on-the-titanic", "kernel_id": "149345"}, {"ref": "ish19655/practising-machine-learning-with-titanic-dataset", "kernel_id": "177213"}, {"ref": "rudaille/notebook0456a18867", "kernel_id": "139782"}, {"ref": "rudaille/a-journey-through-titanic", "kernel_id": "139785"}, {"ref": "showmanship/notebook01cbb2a09f", "kernel_id": "139788"}, {"ref": "scarpelli/gini-vs-entropy-based-random-forest", "kernel_id": "141374"}, {"ref": "vgulaev/a-journey-through-titanic", "kernel_id": "140007"}, {"ref": "vibhasg/exploring-survival-on-the-titanic", "kernel_id": "139837"}, {"ref": "ecegkcy/notebook402fd243d6", "kernel_id": "154826"}, {"ref": "ecegkcy/notebooke8c9aae803", "kernel_id": "154830"}, {"ref": "ecegkcy/a-journey-through-titanic", "kernel_id": "154837"}, {"ref": "ecegkcy/notebook70dddadf49", "kernel_id": "154840"}, {"ref": "datastudent267/titanic-best-working-classifier", "kernel_id": "142517"}, {"ref": "datastudent267/could-the-titanic-have-been-saved", "kernel_id": "147745"}, {"ref": "datastudent267/preliminary-exploration", "kernel_id": "150159"}, {"ref": "agentherring/a-journey-through-titanic-b884b261", "kernel_id": "140480"}, {"ref": "plumps/a-journey-through-titanic", "kernel_id": "139945"}, {"ref": "acgtun/notebookc230287f99", "kernel_id": "205844"}, {"ref": "bjsimonett/notebook0efeb6226d", "kernel_id": "146088"}, {"ref": "bjsimonett/notebook2d1bff9994", "kernel_id": "154249"}, {"ref": "siddharth6150/a-journey-through-titanic-6c180321", "kernel_id": "140024"}, {"ref": "acetherace/titanic-machine-learning", "kernel_id": "230412"}, {"ref": "adashofsomething/juststarting", "kernel_id": "154543"}, {"ref": "adashofsomething/notebook51fef47eca", "kernel_id": "154544"}, {"ref": "satish275/titanic-best-working-classifier-1acd6a34", "kernel_id": "140149"}, {"ref": "satish275/titanic-best-working-classifier", "kernel_id": "140146"}, {"ref": "stefanbo/survival-prediction-with-neural-net", "kernel_id": "140463"}, {"ref": "jexxers/titanic-best-working-classifier", "kernel_id": "140170"}, {"ref": "asdiuzd/titanic", "kernel_id": "253206"}, {"ref": "abhishekaarush/a-journey-through-titanic", "kernel_id": "141188"}, {"ref": "abhishekaarush/a-journey-through-titanic-1e39fb7c", "kernel_id": "142258"}, {"ref": "abhishekaarush/a-journey-through-titanic-03686b52", "kernel_id": "143047"}, {"ref": "shichenfr/testp", "kernel_id": "156097"}, {"ref": "kaggle256/a-journey-through-titanic", "kernel_id": "140243"}, {"ref": "mmiller82/notebook3ade8408f7", "kernel_id": "140241"}, {"ref": "mmiller82/would-i-survive-a-lesson-from-the-titanic", "kernel_id": "140555"}, {"ref": "mmiller82/exploring-survival-on-the-titanic", "kernel_id": "140551"}, {"ref": "hgranger07/a-journey-through-titanic-de348fe3", "kernel_id": "140682"}, {"ref": "s015348/example4", "kernel_id": "141108"}, {"ref": "bytest/bytest", "kernel_id": "140275"}, {"ref": "bytest/notebook", "kernel_id": "140277"}, {"ref": "vishalk9/notebook0c17095da7", "kernel_id": "140535"}, {"ref": "vishalk9/notebook31a3b6c323", "kernel_id": "140530"}, {"ref": "vishalk9/a-journey-through-titanic", "kernel_id": "140531"}, {"ref": "kmurali888/titanic", "kernel_id": "140301"}, {"ref": "wisedoge/introduction-to-ensembling-stacking-in-pyth-ace527", "kernel_id": "231212"}, {"ref": "wisedoge/notebookcd03e07b73", "kernel_id": "144125"}, {"ref": "johnzhang001/a-journey-through-titanic", "kernel_id": "140427"}, {"ref": "johnzhang001/an-interactive-data-science-tutorial", "kernel_id": "178753"}, {"ref": "mikegr/an-interactive-data-science-tutorial", "kernel_id": "190918"}, {"ref": "mikegr/introduction-to-ensembling-stacking-in-python", "kernel_id": "190919"}, {"ref": "mikegr/a-journey-through-titanic", "kernel_id": "190934"}, {"ref": "liniuniu/first", "kernel_id": "174925"}, {"ref": "antjef/titanic-notebook", "kernel_id": "141555"}, {"ref": "chrisf/notebook38584a110b", "kernel_id": "141129"}, {"ref": "chrisf/titanic-best-working-classifier", "kernel_id": "141130"}, {"ref": "chrisf/notebook4e22044bc6", "kernel_id": "140495"}, {"ref": "prakhar2b/notebook9620617fa1", "kernel_id": "144573"}, {"ref": "mikhailiuk/notebook3f2c6f7537", "kernel_id": "240007"}, {"ref": "mikhailiuk/notebook083454ce76", "kernel_id": "247578"}, {"ref": "bacalfa/notebooka420510d1c", "kernel_id": "146873"}, {"ref": "bacalfa/titanic-solution-utility-and-main-scripts", "kernel_id": "149051"}, {"ref": "yohohohoho/a-journey-through-titanic", "kernel_id": "145951"}, {"ref": "hustry/started", "kernel_id": "187931"}, {"ref": "hustry/titanic-data-science-solutions", "kernel_id": "187947"}, {"ref": "hustry/start", "kernel_id": "187939"}, {"ref": "hustry/fork-of-titanic-data-science-solutions", "kernel_id": "187958"}, {"ref": "fuzzybandit77/a-journey-through-titanic", "kernel_id": "140664"}, {"ref": "kkochis/notebook3c182fd913", "kernel_id": "141818"}, {"ref": "kkochis/notebook5a7d3e7724", "kernel_id": "141815"}, {"ref": "immanuelj/notebook1682425321", "kernel_id": "242012"}, {"ref": "xianglispace/notebook5f79cf6f20", "kernel_id": "140765"}, {"ref": "xianglispace/titanic-best-working-classifier", "kernel_id": "140847"}, {"ref": "lauris/notebook7e8a9f2e86", "kernel_id": "205958"}, {"ref": "nowanilfideme/titanic-first-kaggle-kernel", "kernel_id": "173553"}, {"ref": "nowanilfideme/notebook6c6768a410", "kernel_id": "147802"}, {"ref": "emilbp/notebooke17ae14991", "kernel_id": "140904"}, {"ref": "carlosch/notebook5a2f20c7ea", "kernel_id": "141467"}, {"ref": "carlosch/first-data-science-titanic-s-survive", "kernel_id": "141532"}, {"ref": "rhirst/my-nn", "kernel_id": "187181"}, {"ref": "takuok/notebook085ffedc8f", "kernel_id": "191910"}, {"ref": "takuok/titanic-predict-prog", "kernel_id": "191912"}, {"ref": "takuok/titanic-prediction", "kernel_id": "191883"}, {"ref": "gregorybrtn/notebook9c956ab6ae", "kernel_id": "141039"}, {"ref": "derufal/introduction-to-ensembling-stacking-in-python", "kernel_id": "193345"}, {"ref": "onex23/notebookb0ddb91392", "kernel_id": "149226"}, {"ref": "mimi58/intro", "kernel_id": "141105"}, {"ref": "musasi65/notebookc05f8097ae", "kernel_id": "143331"}, {"ref": "jhonsmith/notebookfc54bedce6", "kernel_id": "141128"}, {"ref": "douhua/notebookb3938fe606", "kernel_id": "240721"}, {"ref": "ryubashi/a-journey-through-titanic", "kernel_id": "153619"}, {"ref": "ryubashi/a-journey-through-titanic-15a1b345", "kernel_id": "153620"}, {"ref": "ryubashi/a-journey-through-titanic-551a72da", "kernel_id": "153624"}, {"ref": "ryubashi/titanic-data-science-solutions", "kernel_id": "153611"}, {"ref": "ryubashi/titanic-data-science-solutions-de1f80c2", "kernel_id": "153612"}, {"ref": "ryubashi/a-journey-through-titanic-e7413ca8", "kernel_id": "155624"}, {"ref": "lucasmp/teeest", "kernel_id": "141303"}, {"ref": "chandinibongu37/exploring-survival-on-the-titanic", "kernel_id": "141924"}, {"ref": "shaharb/my-first-kaggle", "kernel_id": "158326"}, {"ref": "dkaravaev/notebook6fd8e1f99a", "kernel_id": "218169"}, {"ref": "tiligh/notebook42971b9276", "kernel_id": "200747"}, {"ref": "chetvers/notebook1f265c8e9d", "kernel_id": "182030"}, {"ref": "margauxblue/notebook038aaad76b", "kernel_id": "141669"}, {"ref": "davideng/titanic-attempt-1-random-forest", "kernel_id": "141853"}, {"ref": "mattmcinnis/a-journey-through-titanic", "kernel_id": "141550"}, {"ref": "mattmcinnis/a-journey-through-titanic-fd66e1e0", "kernel_id": "151060"}, {"ref": "ninjatrader/notebookc62fcf20b2", "kernel_id": "267517"}, {"ref": "khalaq/titanic-khalaq-py", "kernel_id": "141626"}, {"ref": "aarshee/first-test", "kernel_id": "144413"}, {"ref": "kbschent/notebook20804f8850", "kernel_id": "162464"}, {"ref": "quark0/titanic", "kernel_id": "142267"}, {"ref": "quark0/notebook7821028ff6", "kernel_id": "142276"}, {"ref": "quark0/notebookebc3380083", "kernel_id": "142277"}, {"ref": "quark0/notebook0b1b27278f", "kernel_id": "142249"}, {"ref": "lucecerqueira/titanic-comparison-of-classifiers", "kernel_id": "141749"}, {"ref": "swatana3/notebooke66c3c4bfc", "kernel_id": "197667"}, {"ref": "weilintuye/notebookb6f03c12a8", "kernel_id": "141717"}, {"ref": "macegrim/surviving-the-titanic", "kernel_id": "141748"}, {"ref": "lbird1/a-journey-through-titanic", "kernel_id": "164821"}, {"ref": "andyhu/tutorial-learning", "kernel_id": "227729"}, {"ref": "andyhu/an-interactive-data-science-tutorial", "kernel_id": "227921"}, {"ref": "andyhu/notebooka2f67d1e1e", "kernel_id": "225407"}, {"ref": "andyhu/introduction-to-ensembling-stacking-in-python", "kernel_id": "187185"}, {"ref": "finsend/notebook287b7b0fd9", "kernel_id": "201019"}, {"ref": "mrchen/a-journey-through-titanic-18edf13c", "kernel_id": "142642"}, {"ref": "mrchen/notebookd90479346e", "kernel_id": "142639"}, {"ref": "taoyanqi/titanic-best-working-classifier-1fa83218", "kernel_id": "142649"}, {"ref": "pkuwjh/copy-from-others-stacking-in-python", "kernel_id": "187143"}, {"ref": "snowdrop/notebook4b91efc1a0", "kernel_id": "201846"}, {"ref": "smicman/notebook9e9a940643", "kernel_id": "141994"}, {"ref": "smicman/titanic-multiple-models", "kernel_id": "141990"}, {"ref": "arox2795/notebook7eab5fcce8", "kernel_id": "144090"}, {"ref": "arox2795/titanic", "kernel_id": "144092"}, {"ref": "nishantisme/notebookfeb8cfca21", "kernel_id": "143152"}, {"ref": "peterveil/exploring-survival-on-the-titanic-peter", "kernel_id": "142766"}, {"ref": "kagebunshin/titanic-data-science-solutions", "kernel_id": "257702"}, {"ref": "danielpegalajar/scikit-learn-ml-from-start-to-finish", "kernel_id": "216603"}, {"ref": "mehmetcantu/lowkey-titanic-analysis", "kernel_id": "145569"}, {"ref": "mehmetcantu/a-journey-through-titanic", "kernel_id": "146466"}, {"ref": "lucianyang/notebook41f674cfbd", "kernel_id": "167887"}, {"ref": "lucianyang/prediction-with-adaboost-algorithm", "kernel_id": "166694"}, {"ref": "madoc79/notebookd89c6fce80", "kernel_id": "142124"}, {"ref": "burakyldrm/titanic-data-science-solutions-805042", "kernel_id": "276227"}, {"ref": "lich070192/titanic-test", "kernel_id": "229457"}, {"ref": "ashwinrevo/notebook4e80af5a57", "kernel_id": "177824"}, {"ref": "ashwinrevo/a-journey-through-titanic", "kernel_id": "186986"}, {"ref": "ashwinrevo/a-journey-through-titanic-f76814", "kernel_id": "186987"}, {"ref": "nikolaykha/notebook804ed53c6b", "kernel_id": "142225"}, {"ref": "aivarannamaa/titanicessa", "kernel_id": "340320"}, {"ref": "notgibs/notebook70701061cd", "kernel_id": "145491"}, {"ref": "mrrobot9/notebookb1f6fef6ff", "kernel_id": "201493"}, {"ref": "thepandas/scikit-learn-ml-from-start-to-finish", "kernel_id": "663371"}, {"ref": "shiva94/notebook3a92e0a4ae", "kernel_id": "142427"}, {"ref": "shiva94/notebook05699bcd11", "kernel_id": "142443"}, {"ref": "sparsh300/titanic-data-analysis-and-machine-learning", "kernel_id": "163631"}, {"ref": "olgabelitskaya/regressors", "kernel_id": "192746"}, {"ref": "olgabelitskaya/titanic-survival-exploration", "kernel_id": "192763"}, {"ref": "gjwei1993/titanic", "kernel_id": "142546"}, {"ref": "xuxgeo/titanic-data-analysis-and-machine-learning", "kernel_id": "163849"}, {"ref": "manoharm/exploring-survival-on-the-titanic", "kernel_id": "147269"}, {"ref": "oscarriddle/a-journey-through-titanic", "kernel_id": "143314"}, {"ref": "zhenhongy/notebook06a37750c0", "kernel_id": "165315"}, {"ref": "zhenhongy/notebook6faa5f5e8c", "kernel_id": "165271"}, {"ref": "wilsonshum/titanic-data-science-solutions", "kernel_id": "261933"}, {"ref": "okideal/a-journey-through-titanic", "kernel_id": "142987"}, {"ref": "wangzehao/a-journey-through-titanic-tutorial", "kernel_id": "177282"}, {"ref": "wangzehao/an-interactive-data-science-tutorial", "kernel_id": "176474"}, {"ref": "akhilprakash/aaaaaa", "kernel_id": "152526"}, {"ref": "shixuehuai/a-journey-through-titanic", "kernel_id": "142677"}, {"ref": "shixuehuai/a-journey-through-titanic-46754b84", "kernel_id": "146360"}, {"ref": "shixuehuai/a-journey-through-titanic-420a2cdf", "kernel_id": "148162"}, {"ref": "edwincv0/tensorflow-bba486", "kernel_id": "224000"}, {"ref": "ashwani178/eda-and-model", "kernel_id": "320617"}, {"ref": "dhruvkadian/titanic", "kernel_id": "244841"}, {"ref": "emeraldsword/notebookd3b84bbd1a", "kernel_id": "174586"}, {"ref": "emeraldsword/notebook1fe2a97a99", "kernel_id": "165997"}, {"ref": "emeraldsword/newtry", "kernel_id": "166001"}, {"ref": "emeraldsword/decisiontreemodel-tatanic", "kernel_id": "165351"}, {"ref": "shifu2778/titanic-survival-predictions", "kernel_id": "249711"}, {"ref": "ancientgeek/test1", "kernel_id": "143023"}, {"ref": "drdoombledore/notebookdbd70bc5df", "kernel_id": "144261"}, {"ref": "raviteja121/notebook1b23e02a10", "kernel_id": "266022"}, {"ref": "raviteja121/notebook95db62ec01", "kernel_id": "245571"}, {"ref": "raviteja121/notebook8573bacd16", "kernel_id": "245572"}, {"ref": "raviteja121/notebook2f4e22cafd", "kernel_id": "245585"}, {"ref": "raviteja121/notebooke063a7e8f6", "kernel_id": "244814"}, {"ref": "raviteja121/notebook297c128b90", "kernel_id": "244789"}, {"ref": "raviteja121/notebooke2edd853a0", "kernel_id": "244794"}, {"ref": "raviteja121/uhhgjghgh", "kernel_id": "244798"}, {"ref": "hongyupan/test1", "kernel_id": "143069"}, {"ref": "arpitaagrawal/notebook41c027936d", "kernel_id": "145156"}, {"ref": "arpitaagrawal/analysing-titanic-dataset", "kernel_id": "271912"}, {"ref": "navinrajegowda/notebook010ca62800", "kernel_id": "146631"}, {"ref": "oleg78/a-journey-through-titanic", "kernel_id": "143112"}, {"ref": "jweisse/testscript", "kernel_id": "150179"}, {"ref": "uditgera/udit7", "kernel_id": "219737"}, {"ref": "mentoldo/prueba", "kernel_id": "164488"}, {"ref": "mentoldo/notebook18d12a5d27", "kernel_id": "164486"}, {"ref": "mentoldo/notebook9ada2b7c35", "kernel_id": "164509"}, {"ref": "ptaneja/notebook5d9280bbf6", "kernel_id": "176311"}, {"ref": "tocharan/notebook269b3d9759", "kernel_id": "143279"}, {"ref": "xiaoqiangkx/notebook30b0aa31e8", "kernel_id": "241101"}, {"ref": "xiaoqiangkx/notebooka20552f009", "kernel_id": "241102"}, {"ref": "xie4kg/notebook908d5a2d1f", "kernel_id": "267417"}, {"ref": "bharathkmr/notebook02cccad778", "kernel_id": "163069"}, {"ref": "vincet/a-journey-through-titanic", "kernel_id": "143561"}, {"ref": "naagaharikrishna/geneticprogramming", "kernel_id": "190832"}, {"ref": "woojinkim/woojin-titanic", "kernel_id": "143404"}, {"ref": "bhargav265/notebook4772f057ce", "kernel_id": "143445"}, {"ref": "ramizassaf/a23334", "kernel_id": "148688"}, {"ref": "xiaoguo/titanicstarter", "kernel_id": "266272"}, {"ref": "erefen/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "155519"}, {"ref": "chensara/a-journey-through-titanic", "kernel_id": "152130"}, {"ref": "chensara/a-journey-through-titanic-2ef64d41", "kernel_id": "152131"}, {"ref": "chensara/a-journey-through-titanic-a53528cf", "kernel_id": "163116"}, {"ref": "alexalexi/playing-with-titanic-data", "kernel_id": "305304"}, {"ref": "garvish/machine-learning-classifier-using-titanic-dataset", "kernel_id": "312686"}, {"ref": "ryanhoward/a-journey-through-titanic", "kernel_id": "143522"}, {"ref": "samiozsoy/deneme", "kernel_id": "148145"}, {"ref": "samiozsoy/titanic-best-working-classifier", "kernel_id": "153479"}, {"ref": "samiozsoy/titanic-data-science-solutions", "kernel_id": "154039"}, {"ref": "samiozsoy/final-deneme", "kernel_id": "155535"}, {"ref": "samiozsoy/a-journey-through-titanic", "kernel_id": "155525"}, {"ref": "samiozsoy/titanic-notebook", "kernel_id": "155852"}, {"ref": "samiozsoy/exploratory-tutorial-titanic", "kernel_id": "155978"}, {"ref": "alpena/maincode", "kernel_id": "159689"}, {"ref": "alpena/notebook579c94792e", "kernel_id": "159698"}, {"ref": "alpena/notebook9d8f6d8fa9", "kernel_id": "159818"}, {"ref": "josie1994/a-journey-through-titanic", "kernel_id": "143638"}, {"ref": "fraserpal/kaggle-titanic-disaster-data-set-and-h2o-framework", "kernel_id": "256151"}, {"ref": "warenlg/notebook4931507e89", "kernel_id": "143631"}, {"ref": "warenlg/titanic-notebook", "kernel_id": "143633"}, {"ref": "vfelix/notebookbe635c9932", "kernel_id": "143686"}, {"ref": "superted/random-forest-benchmark-r", "kernel_id": "150752"}, {"ref": "gregmrd/notebookbe0e2e876e", "kernel_id": "143801"}, {"ref": "dominicneeraj/an-interactive-data-science-tutorial", "kernel_id": "178395"}, {"ref": "janjansenjans/exploring-survival-on-the-titanic", "kernel_id": "149775"}, {"ref": "janjansenjans/random-forest-benchmark-r", "kernel_id": "149777"}, {"ref": "anisimov/notebooka8d7912e0f", "kernel_id": "145902"}, {"ref": "arafsheikh/notebook900ea98f18", "kernel_id": "204265"}, {"ref": "zeynep1/notebookbff54f329f", "kernel_id": "143796"}, {"ref": "zeynep1/deneme", "kernel_id": "143797"}, {"ref": "zeynep1/fork-of-deneme", "kernel_id": "143804"}, {"ref": "aashita/xgboost-model-with-minimalistic-features", "kernel_id": "773364"}, {"ref": "ebnerkm/a-journey-through-titanic", "kernel_id": "147174"}, {"ref": "crazy4data/titanic-logistic-regression-classification", "kernel_id": "161188"}, {"ref": "crazy4data/notebook0cfd861bc0", "kernel_id": "235765"}, {"ref": "chetanhere/a-journey-through-titanic", "kernel_id": "253672"}, {"ref": "chetanhere/an-interactive-data-science-tutorial", "kernel_id": "169611"}, {"ref": "cnlilylin/notebook06cbb8b158", "kernel_id": "150550"}, {"ref": "mikekosk/mike-kosk", "kernel_id": "143910"}, {"ref": "scook4242/titanic-best-working-classifier", "kernel_id": "143924"}, {"ref": "bdrabo/notebook88707b611a", "kernel_id": "144895"}, {"ref": "yudazhao/titanic-explore", "kernel_id": "144678"}, {"ref": "yudazhao/a-journey-through-titanic", "kernel_id": "144692"}, {"ref": "yudazhao/a-journey-through-titanic-5d84c88d", "kernel_id": "144694"}, {"ref": "jimrpy/notebookf013e13e70", "kernel_id": "144452"}, {"ref": "tesla1234/titanic-data-science-solutions", "kernel_id": "190031"}, {"ref": "sherrywangjy/titanic-machine-learning-from-disaster", "kernel_id": "149746"}, {"ref": "aman304gupta/notebookbfa453c976", "kernel_id": "225431"}, {"ref": "tinard/a-journey-through-titanic", "kernel_id": "161215"}, {"ref": "tinard/a-journey-through-titanic-2eafee0f", "kernel_id": "161262"}, {"ref": "tinard/a-journey-through-titanic-ed1db2d6", "kernel_id": "164206"}, {"ref": "gupta1505/notebookaeb9d4fdd1", "kernel_id": "144221"}, {"ref": "gupta1505/titanic-sg", "kernel_id": "144225"}, {"ref": "gupta1505/notebook96c13b7f40", "kernel_id": "188623"}, {"ref": "ayafola/lllllllll", "kernel_id": "144300"}, {"ref": "ayafola/notebook10eefb6997", "kernel_id": "144305"}, {"ref": "ayafola/notebooka283bb32c0", "kernel_id": "144278"}, {"ref": "ayafola/mimoh", "kernel_id": "144280"}, {"ref": "ayafola/momolk", "kernel_id": "144281"}, {"ref": "vantaro/titanic-data-science-solutions", "kernel_id": "176836"}, {"ref": "impressor/titanic-survival-prediction", "kernel_id": "308528"}, {"ref": "impressor/notebookd5216326e0", "kernel_id": "279271"}, {"ref": "epeterson17/random-forest-benchmark-r", "kernel_id": "144392"}, {"ref": "hhobayy/notebookfcd9f88d95", "kernel_id": "182332"}, {"ref": "hhobayy/a-journey-through-titanic", "kernel_id": "182333"}, {"ref": "hhobayy/titanic-best-working-classifier", "kernel_id": "187662"}, {"ref": "hhobayy/titanic-best-working-classifier-527c5b", "kernel_id": "187663"}, {"ref": "faltajan/jf-myfirst", "kernel_id": "144492"}, {"ref": "faltajan/notebook5b6d8d7ec2", "kernel_id": "144497"}, {"ref": "lywhlao/notebook3cce0e2eed", "kernel_id": "210454"}, {"ref": "lywhlao/an-interactive-data-science-tutorial", "kernel_id": "210455"}, {"ref": "apgeorge/notebook29e709811d", "kernel_id": "217641"}, {"ref": "codingpotato/notebook404d8db7fc", "kernel_id": "172646"}, {"ref": "codingpotato/notebook9651bedab2", "kernel_id": "172671"}, {"ref": "codingpotato/notebook84213fe097", "kernel_id": "172638"}, {"ref": "lorixx4/a-journey-through-titanic", "kernel_id": "144554"}, {"ref": "daiearth22/xgboost-example-python", "kernel_id": "330478"}, {"ref": "daiearth22/exploring-survival-on-the-titanic", "kernel_id": "367935"}, {"ref": "madeleineliu/a-journey-through-titanic", "kernel_id": "144804"}, {"ref": "quanysh/notebook21c530a7f9", "kernel_id": "208390"}, {"ref": "jainds/notebook6c5afb9c43", "kernel_id": "186206"}, {"ref": "jainds/titanic-exploration-practice", "kernel_id": "278571"}, {"ref": "duchezbr/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "176737"}, {"ref": "mhkara/titanic-data-science-solutions", "kernel_id": "222337"}, {"ref": "willnewby/notebookdce8d23b6d", "kernel_id": "213639"}, {"ref": "wenxuang/a-journey-through-titanic", "kernel_id": "146018"}, {"ref": "wenxuang/fork-of-my-titanic", "kernel_id": "146025"}, {"ref": "guocheng/a-journey-through-titanic-4e5a915a", "kernel_id": "155346"}, {"ref": "kimulsanne/a-journey-through-titanic", "kernel_id": "145068"}, {"ref": "khouloudz/titanic-disaster-machine-learning-step-by-step", "kernel_id": "953219"}, {"ref": "exp096030291/notebookcecc574d8a", "kernel_id": "168268"}, {"ref": "siwuch/titanic-data-science-solutions", "kernel_id": "187621"}, {"ref": "siwuch/titanic-data-science-solutions-fd323d", "kernel_id": "190632"}, {"ref": "dheerajgoudborlla/exploring-survival-on-the-titanic", "kernel_id": "174749"}, {"ref": "saltyporridge/notebook877b19bb29", "kernel_id": "227420"}, {"ref": "saltyporridge/notebook2989234e92", "kernel_id": "170674"}, {"ref": "slushyturkey/raising-the-titanic", "kernel_id": "873310"}, {"ref": "thabet/titanic-version2", "kernel_id": "145336"}, {"ref": "shahpriyank9/notebook3644d43a16", "kernel_id": "148745"}, {"ref": "shahpriyank9/notebook45627a91d7", "kernel_id": "202876"}, {"ref": "benciuf/exploring-survival-on-the-titanic", "kernel_id": "145397"}, {"ref": "elmahy/using-linear-models", "kernel_id": "149380"}, {"ref": "rogrezende/titanic-sinking-analysis", "kernel_id": "174547"}, {"ref": "rogrezende/notebookee3d09d9ba", "kernel_id": "174515"}, {"ref": "rogrezende/notebook68af8ff562", "kernel_id": "174524"}, {"ref": "rogrezende/notebook561154b831", "kernel_id": "173812"}, {"ref": "rogrezende/titanic-sinking-survival-analysis", "kernel_id": "173806"}, {"ref": "rogrezende/notebook00319db23d", "kernel_id": "174304"}, {"ref": "saiph74/titanic-predication", "kernel_id": "161004"}, {"ref": "yassin6/notebookdb8bcabfc8", "kernel_id": "147590"}, {"ref": "quocvinh/vinhlinear", "kernel_id": "159938"}, {"ref": "shinfuwu/notebook14f8d1c3df", "kernel_id": "150499"}, {"ref": "shinfuwu/odyssey-with-titanic", "kernel_id": "150516"}, {"ref": "shinfuwu/notebook559b25f4c8", "kernel_id": "150537"}, {"ref": "jsiska10/notebookb8bf1b8bab", "kernel_id": "197843"}, {"ref": "akkii25/notebook6d9a5c889c", "kernel_id": "278653"}, {"ref": "zackor/first-script", "kernel_id": "153860"}, {"ref": "lionelw/notebook6c34a57445", "kernel_id": "165015"}, {"ref": "zoeeee/test1", "kernel_id": "152175"}, {"ref": "zoeeee/notebookd973a34184", "kernel_id": "152176"}, {"ref": "newriverchan/titanic", "kernel_id": "148599"}, {"ref": "newriverchan/a-journey-through-titanic", "kernel_id": "148654"}, {"ref": "newriverchan/roy-s-titanic-notebook", "kernel_id": "148685"}, {"ref": "srinidhi1995/titanic-survival-prediction", "kernel_id": "268332"}, {"ref": "abdush/a-journey-through-titanic", "kernel_id": "146103"}, {"ref": "jwcunha/notebook2540ef3f3c", "kernel_id": "240256"}, {"ref": "philipfry/introduction-to-ensembling-stacking-in-python", "kernel_id": "183514"}, {"ref": "vas007/notebook5b7891b0dc", "kernel_id": "212143"}, {"ref": "katherton/testing-rfs-on-rfs", "kernel_id": "147085"}, {"ref": "katherton/testing", "kernel_id": "146992"}, {"ref": "anjboral/titanic-savior-forecasts", "kernel_id": "226120"}, {"ref": "anjboral/notebookeff4e2a1cd", "kernel_id": "228139"}, {"ref": "jmclane/notebook9f6dbb7156", "kernel_id": "146134"}, {"ref": "ranjeetprasad/notebookaa17fee237", "kernel_id": "147316"}, {"ref": "hakanb/titanicdene", "kernel_id": "223759"}, {"ref": "anikishaev/titanic3-py", "kernel_id": "146695"}, {"ref": "maneeshasatya/notebookbf99160022", "kernel_id": "146322"}, {"ref": "zhouming12/notebook5aafa25597", "kernel_id": "232176"}, {"ref": "h1015b/notebookb8261099d9", "kernel_id": "183239"}, {"ref": "acrellin/notebookcbf1f70ec2", "kernel_id": "152800"}, {"ref": "phraznikov/notebook0099804d98", "kernel_id": "233018"}, {"ref": "biterfy/notebook6e6fbb1b0d", "kernel_id": "187883"}, {"ref": "q707043502/a-journey-through-titanic", "kernel_id": "148147"}, {"ref": "qilishia/notebook9b49ce4d1a", "kernel_id": "147886"}, {"ref": "mickytsai/a-journey-through-titanic", "kernel_id": "151722"}, {"ref": "jaredzhu/a-journey-through-titanic", "kernel_id": "150544"}, {"ref": "jaredzhu/a-journey-through-titanic-da45dca6", "kernel_id": "150551"}, {"ref": "laszloszlobodnyik/titanic102", "kernel_id": "177141"}, {"ref": "dcoven/notebookceadbbca6d", "kernel_id": "214422"}, {"ref": "prathm/titanic-survival-analysis", "kernel_id": "171015"}, {"ref": "yarmini/a-journey-through-titanic-6cb31047", "kernel_id": "154114"}, {"ref": "johanvermeire/notebookf46983a2b0", "kernel_id": "148202"}, {"ref": "johanvermeire/test1", "kernel_id": "148205"}, {"ref": "ijingo/a-journey-through-titanic-968ffb71", "kernel_id": "147242"}, {"ref": "ijingo/a-journey-through-titanic-3bf4a259", "kernel_id": "158028"}, {"ref": "yoshihotta/xgboost-example-python-3fd2b3", "kernel_id": "743979"}, {"ref": "jbuitelaar/a-journey-through-titanic", "kernel_id": "154990"}, {"ref": "jbuitelaar/notebookf2fcfda850", "kernel_id": "154976"}, {"ref": "newbeehunter/a-journey-through-titanic", "kernel_id": "146761"}, {"ref": "newbeehunter/notebookab7c95b5b5", "kernel_id": "217574"}, {"ref": "newbeehunter/notebooke2e1acebda", "kernel_id": "218126"}, {"ref": "newbeehunter/notebook8e9c2077ee", "kernel_id": "218139"}, {"ref": "kevinelstri/test-python", "kernel_id": "147324"}, {"ref": "nefise/exploring-survival-on-the-titanic", "kernel_id": "153364"}, {"ref": "flygare/titanic", "kernel_id": "212687"}, {"ref": "wanaflah/titaniclearningqi", "kernel_id": "278493"}, {"ref": "kuashok/data-exploration", "kernel_id": "200459"}, {"ref": "zfonseca/an-interactive-data-science-tutorial", "kernel_id": "176781"}, {"ref": "thorstein99/titanic", "kernel_id": "149342"}, {"ref": "thorstein99/notebook8734be2a76", "kernel_id": "151916"}, {"ref": "thorstein99/notebook6de35af8d4", "kernel_id": "151878"}, {"ref": "ecicek/notebookcca120e692", "kernel_id": "156447"}, {"ref": "anarkhede/titanic-analysis", "kernel_id": "224054"}, {"ref": "flatfrog/titanic-disaster-python-machine-learning", "kernel_id": "231405"}, {"ref": "ryanfpage/titanic-data-analysis", "kernel_id": "146972"}, {"ref": "ryanfpage/titanic-data-notebook", "kernel_id": "148860"}, {"ref": "vulpalam/a-journey-through-titanic", "kernel_id": "146930"}, {"ref": "n4n4n4/script1", "kernel_id": "147924"}, {"ref": "ilyaprim/notebooka816c93621", "kernel_id": "190556"}, {"ref": "akerlyn/notebookb10b48589a", "kernel_id": "177695"}, {"ref": "wencyang/exploring-survival-on-the-titanic", "kernel_id": "147108"}, {"ref": "luwenlong321/testlwl", "kernel_id": "159256"}, {"ref": "kaka94/notebookdfa12cf67c", "kernel_id": "147238"}, {"ref": "ttttkk/titanic-random-forest-82-78", "kernel_id": "183358"}, {"ref": "sergiogq/sergio-gq", "kernel_id": "147197"}, {"ref": "niyeye/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "164872"}, {"ref": "guapier/a-journey-through-titanic", "kernel_id": "147263"}, {"ref": "kaidran/a-journey-through-titanic", "kernel_id": "151609"}, {"ref": "aymann/titanic-first-test", "kernel_id": "159499"}, {"ref": "vishnu27597/my-first-dataset", "kernel_id": "148694"}, {"ref": "yzx1214/notebook490103f86b", "kernel_id": "148784"}, {"ref": "btiapba/notebook7a73e7aa7c", "kernel_id": "147467"}, {"ref": "anguyen52024/sample-test", "kernel_id": "147456"}, {"ref": "wangruixin/titanic-random-forest-82-78", "kernel_id": "177691"}, {"ref": "wangruixin/a-journey-through-titanic-5703f3bc", "kernel_id": "177172"}, {"ref": "wangruixin/a-journey-through-titanic-09b061a9", "kernel_id": "159077"}, {"ref": "wangruixin/a-journey-through-titanic-2e01ccbf", "kernel_id": "159078"}, {"ref": "wangruixin/a-journey-through-titanic", "kernel_id": "158796"}, {"ref": "jinjin1006/an-interactive-data-science-tutorial", "kernel_id": "168979"}, {"ref": "jinjin1006/titanic-data-visualization-ml", "kernel_id": "168710"}, {"ref": "adisaputra7/notebook8658a0024b", "kernel_id": "187220"}, {"ref": "tjchaplin/notebook363eed35c1", "kernel_id": "147580"}, {"ref": "jewelltp/titanic-analysis-who-survived", "kernel_id": "147605"}, {"ref": "jewelltp/notebookfe1c278fd3", "kernel_id": "219979"}, {"ref": "jewelltp/notebook3e40e18ed3", "kernel_id": "219981"}, {"ref": "jewelltp/notebook8a81995452", "kernel_id": "219965"}, {"ref": "mic132/exploring-survival-on-the-titanic", "kernel_id": "148083"}, {"ref": "mandeep94/a-journey-through-titanic", "kernel_id": "149721"}, {"ref": "jvanelteren/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "170503"}, {"ref": "juanitos/notebook10d7ed1821", "kernel_id": "149406"}, {"ref": "surya3997/titanic-analysis", "kernel_id": "510605"}, {"ref": "yuvalb/notebook94236a53fe", "kernel_id": "147696"}, {"ref": "kwu2018/surviving-random-forest-and-logistic-regression", "kernel_id": "151013"}, {"ref": "robborobbo1/titanic-py", "kernel_id": "150040"}, {"ref": "londondan/test-notebook", "kernel_id": "243908"}, {"ref": "amyewa/titantic-survival-data-exploration", "kernel_id": "148525"}, {"ref": "psanch/titanic", "kernel_id": "200769"}, {"ref": "halien/notebook1d07d5d57c", "kernel_id": "203128"}, {"ref": "gandhiboy/titanic-ml", "kernel_id": "149331"}, {"ref": "scootrguy/test-script", "kernel_id": "149515"}, {"ref": "ctutal/titanic", "kernel_id": "149757"}, {"ref": "ctutal/exploring-survival-on-the-titanic", "kernel_id": "149802"}, {"ref": "ctutal/notebook0d8cd2194e", "kernel_id": "231277"}, {"ref": "ctutal/notebookf9d286c223", "kernel_id": "231278"}, {"ref": "ctutal/trial", "kernel_id": "231273"}, {"ref": "neelamrajpal/heena-assign7", "kernel_id": "229669"}, {"ref": "neelamrajpal/neelamassign7", "kernel_id": "229632"}, {"ref": "neelamrajpal/titanic-data-science-solutions", "kernel_id": "229647"}, {"ref": "neelamrajpal/heenaassign7", "kernel_id": "229657"}, {"ref": "shahkevaln/a-journey-through-titanic-095a6fc3", "kernel_id": "149800"}, {"ref": "shahkevaln/a-journey-through-titanic", "kernel_id": "148102"}, {"ref": "shahkevaln/a-journey-through-titanic-9c8a6f5c", "kernel_id": "148130"}, {"ref": "fenil9/exploring-survival-on-the-titanic", "kernel_id": "158466"}, {"ref": "intelpen/a-journey-through-titanic", "kernel_id": "169214"}, {"ref": "sidrai97/notebooka80557ce1e", "kernel_id": "228241"}, {"ref": "karthi2107/notebook3ae760fb18", "kernel_id": "155469"}, {"ref": "karthi2107/hello-kaggle", "kernel_id": "155473"}, {"ref": "faiazsan1/titanic", "kernel_id": "155461"}, {"ref": "zburning/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "152462"}, {"ref": "tmorville/notebook379474d3ad", "kernel_id": "148192"}, {"ref": "tmorville/titanic-best-working-classifier", "kernel_id": "148194"}, {"ref": "aadith/test1", "kernel_id": "226029"}, {"ref": "vimal1083/notebook9709f0cd1f", "kernel_id": "165546"}, {"ref": "tony9090/notebookf71318e7d1", "kernel_id": "148299"}, {"ref": "tony9090/notebook73474b57e3", "kernel_id": "149492"}, {"ref": "tony9090/notebook5c9d5cea83", "kernel_id": "149496"}, {"ref": "tony9090/notebook8712fbbabe", "kernel_id": "149520"}, {"ref": "tony9090/fork-of-notebook5c9d5cea83", "kernel_id": "150011"}, {"ref": "tony9090/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "223862"}, {"ref": "karinesiette/titanic", "kernel_id": "150080"}, {"ref": "johnreilly70/notebook7f748d3e6b", "kernel_id": "148352"}, {"ref": "tsh1toyan/notebookf57388f070", "kernel_id": "229922"}, {"ref": "danielg00/notebook98ca1c0fd0", "kernel_id": "148792"}, {"ref": "effy94/titanic-survival-analysis", "kernel_id": "214556"}, {"ref": "effy94/titanic-learning-v1", "kernel_id": "264280"}, {"ref": "effy94/notebook65ef1e0817", "kernel_id": "264278"}, {"ref": "channingc12/simple-svm", "kernel_id": "174286"}, {"ref": "reinzy/a-journey-through-titanic", "kernel_id": "161285"}, {"ref": "elessarr/newbie-s-titanic-dataset-attempt", "kernel_id": "312193"}, {"ref": "nageshnaik/titanic-predictions", "kernel_id": "148806"}, {"ref": "praneetmehta/a-journey-through-titanic", "kernel_id": "164861"}, {"ref": "jdbassett20/jbtitanic01", "kernel_id": "148874"}, {"ref": "filipesousa20/a-journey-through-titanic", "kernel_id": "161077"}, {"ref": "liujilong/titanic", "kernel_id": "262088"}, {"ref": "liujilong/titanic-follow", "kernel_id": "264815"}, {"ref": "liujilong/an-interactive-data-science-tutorial", "kernel_id": "268753"}, {"ref": "liujilong/notebook865d9f75da", "kernel_id": "268133"}, {"ref": "liujilong/titanic-second", "kernel_id": "268222"}, {"ref": "liujilong/stack", "kernel_id": "268873"}, {"ref": "jhuang54/titanic", "kernel_id": "170198"}, {"ref": "hotcocoaaddict/first-entry-data-exploration", "kernel_id": "150486"}, {"ref": "mapple/notebookca8454d0d2", "kernel_id": "149177"}, {"ref": "rbensua/firstscript", "kernel_id": "149260"}, {"ref": "leporis/notebooke5d3daf29d", "kernel_id": "149385"}, {"ref": "guidog/exploring-survival-on-the-titanic", "kernel_id": "149352"}, {"ref": "doubleoeight/a-journey-through-titanic", "kernel_id": "149540"}, {"ref": "vicfrank/test-submission", "kernel_id": "149733"}, {"ref": "jjohnson/notebookbc548acf0a", "kernel_id": "149549"}, {"ref": "jessedrewry/notebookfd91b4647a", "kernel_id": "149562"}, {"ref": "puneetks/random-forest-in-r", "kernel_id": "834605"}, {"ref": "stalex/titanic-data-science-solutions", "kernel_id": "163246"}, {"ref": "eren77/final-deneme", "kernel_id": "155528"}, {"ref": "eren77/titanic-dataset-predicting-survivals", "kernel_id": "156304"}, {"ref": "mkitis/tytanic", "kernel_id": "154833"}, {"ref": "hanhha/multiple-classifiers-trial-on-titanic", "kernel_id": "190617"}, {"ref": "nerdyaditya/notebookdee9370040", "kernel_id": "149788"}, {"ref": "harsavardhan/titanic-data-science-solutions", "kernel_id": "159407"}, {"ref": "comprakash/learning-ml-in-python-with-titanic-data", "kernel_id": "232793"}, {"ref": "comprakash/my-test-script-for-titanic", "kernel_id": "232920"}, {"ref": "vigneshhari/notebook869d1d2d97", "kernel_id": "150013"}, {"ref": "dilipdd/titanic-data-science-solutions", "kernel_id": "167595"}, {"ref": "vinayaknayak/titanic-dataset-ml", "kernel_id": "244876"}, {"ref": "lenchanteur/titanic-data-science-solutions", "kernel_id": "191309"}, {"ref": "lenchanteur/titanic-data-science-solutions-fda04c", "kernel_id": "193102"}, {"ref": "lenchanteur/titanic-data-science-solutions-01b2c6", "kernel_id": "194264"}, {"ref": "abhayworld123/notebook7fa9b19ad0", "kernel_id": "150016"}, {"ref": "dharna/predicting-survival-on-the-titanic", "kernel_id": "169159"}, {"ref": "sherryvvv/notebookf08546f432-dce26bfe", "kernel_id": "163066"}, {"ref": "sherryvvv/notebookf08546f432-dfe45ccd", "kernel_id": "163522"}, {"ref": "sherryvvv/notebook5c9d5cea83-58c2cbdf", "kernel_id": "153079"}, {"ref": "sherryvvv/notebooke36ef55811", "kernel_id": "162213"}, {"ref": "sherryvvv/notebookf08546f432", "kernel_id": "162743"}, {"ref": "sherryvvv/notebook5c9d5cea83-9f34f06d", "kernel_id": "162620"}, {"ref": "sherryvvv/notebooked9dbeead0", "kernel_id": "162617"}, {"ref": "sherryvvv/notebook5c9d5cea83-022b712d", "kernel_id": "162627"}, {"ref": "sherryvvv/notebook5c9d5cea83-4205397c", "kernel_id": "162071"}, {"ref": "sherryvvv/notebook5c9d5cea83-16582a20", "kernel_id": "162022"}, {"ref": "sherryvvv/notebook5c9d5cea83-fcc34ca1", "kernel_id": "160558"}, {"ref": "shevon/random-forest-benchmark-python", "kernel_id": "157561"}, {"ref": "shevon/notebook96374e7a88", "kernel_id": "151008"}, {"ref": "jwilson/titanic-practice-with-scikit-learn", "kernel_id": "156816"}, {"ref": "asindico/my-titanic-attempt", "kernel_id": "152698"}, {"ref": "prkukunoor/myfirst", "kernel_id": "150216"}, {"ref": "dakewu/notebookf08546f432", "kernel_id": "161822"}, {"ref": "vickieip/titanic", "kernel_id": "264170"}, {"ref": "honeybird/a-journey-through-titanic", "kernel_id": "166711"}, {"ref": "quangvuk/a-journey-through-titanic", "kernel_id": "170500"}, {"ref": "megemini/notebook2d30e4bfa6", "kernel_id": "150588"}, {"ref": "megemini/a-journey-through-titanic", "kernel_id": "189445"}, {"ref": "megemini/a-journey-through-titanic-53be6b", "kernel_id": "189577"}, {"ref": "megemini/titanic-data-science-solutions", "kernel_id": "189401"}, {"ref": "samfreitas/an-interactive-data-science-tutorial", "kernel_id": "173888"}, {"ref": "debasishhazarika/notebook9ed726860f", "kernel_id": "151470"}, {"ref": "ljtbear/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "159098"}, {"ref": "rtreja/titanic-survival-prediction", "kernel_id": "150493"}, {"ref": "changtaoyin/a-journey-through-titanic", "kernel_id": "151155"}, {"ref": "jerryjung/notebook447c442291", "kernel_id": "150525"}, {"ref": "h1man5hu/notebook48d6f189e1", "kernel_id": "204547"}, {"ref": "h1man5hu/notebookbadb92f3a2", "kernel_id": "204548"}, {"ref": "h1man5hu/notebookaa9d72865f", "kernel_id": "260552"}, {"ref": "horseman/firstblood", "kernel_id": "272306"}, {"ref": "bhandu/try12", "kernel_id": "150560"}, {"ref": "twotiger/titanic-data-science-solutions", "kernel_id": "150596"}, {"ref": "twotiger/trfffff", "kernel_id": "151212"}, {"ref": "akashgutha/a-journey-through-titanic", "kernel_id": "150617"}, {"ref": "thomashthoresen/a-journey-through-titanic", "kernel_id": "153436"}, {"ref": "aleemmd/a-journey-through-titanic", "kernel_id": "166955"}, {"ref": "nidhikhaz/my-titanic-attempt", "kernel_id": "153317"}, {"ref": "nidhikhaz/a-forked-journey-through-titanic", "kernel_id": "153313"}, {"ref": "nidhikhaz/titanic-data-science-solutions", "kernel_id": "151538"}, {"ref": "taylorfarrar/practica-titanic", "kernel_id": "203094"}, {"ref": "rohit6205/notebookb90a86dddd", "kernel_id": "217177"}, {"ref": "etrapero/titanic-best-working-classifier", "kernel_id": "151607"}, {"ref": "etrapero/notebook336c1d623b", "kernel_id": "150694"}, {"ref": "nnjam2/notebooke487cd3e52", "kernel_id": "154121"}, {"ref": "albercasas/exploring-survival-on-the-titanic", "kernel_id": "151733"}, {"ref": "albercasas/ddgsfsdf", "kernel_id": "151764"}, {"ref": "albercasas/notebookac7584b442", "kernel_id": "151761"}, {"ref": "albercasas/notebook3650c48ff1", "kernel_id": "151777"}, {"ref": "meetika/notebookc67527b5b4", "kernel_id": "209575"}, {"ref": "meetika/notebook70fb047ca7", "kernel_id": "209082"}, {"ref": "danielasicaru/notebookd9e59ac321", "kernel_id": "215985"}, {"ref": "pepomes/an-interactive-data-science-tutorial", "kernel_id": "183245"}, {"ref": "driftwood/notebookfecf8291ac", "kernel_id": "201904"}, {"ref": "driftwood/notebook1ccbd2a98d", "kernel_id": "201896"}, {"ref": "nuaawaterloo/notebook5c9d5cea83", "kernel_id": "151972"}, {"ref": "javabean68/jeder-anfang-ist-schwer", "kernel_id": "241563"}, {"ref": "ecnuykh/notebook3ac1706cff", "kernel_id": "159377"}, {"ref": "ecnuykh/a-journey-through-titanic", "kernel_id": "173068"}, {"ref": "justtabhi/notebook37bd5c1869", "kernel_id": "186053"}, {"ref": "snnybhatia72/first-r-competition", "kernel_id": "156387"}, {"ref": "anantam/0-808-with-simple-stacking", "kernel_id": "274871"}, {"ref": "robot1/a-journey-through-titanic", "kernel_id": "155066"}, {"ref": "lazyjoe/a-journey-through-titanic", "kernel_id": "153906"}, {"ref": "lazyjoe/a-journey-through-titanic-969508ca", "kernel_id": "161496"}, {"ref": "yolotron/a-journey-through-titanic", "kernel_id": "151626"}, {"ref": "simonnotley/introduction-to-ensembling-stacking-in-python", "kernel_id": "189981"}, {"ref": "zjianglin/notebook7fe3139baa", "kernel_id": "219766"}, {"ref": "heyingim/notebooke9a383cda5", "kernel_id": "151771"}, {"ref": "rosettast/notebook3c72493664", "kernel_id": "227835"}, {"ref": "rosettast/notebook378e10454f", "kernel_id": "227837"}, {"ref": "rosettast/notebookf3390c417b", "kernel_id": "227830"}, {"ref": "rosettast/notebook9e3a23a864", "kernel_id": "255894"}, {"ref": "miguelangelnieto/notebook6e596e5f46", "kernel_id": "151720"}, {"ref": "miguelangelnieto/notebook01bedb5b7e", "kernel_id": "151708"}, {"ref": "miguelangelnieto/test-1", "kernel_id": "151715"}, {"ref": "miguelangelnieto/notebookf8cb755368", "kernel_id": "151717"}, {"ref": "miguelangelnieto/titanic-data-analysis-and-machine-learning", "kernel_id": "154271"}, {"ref": "cd17540/first-go", "kernel_id": "151709"}, {"ref": "villefranche/123456", "kernel_id": "154117"}, {"ref": "josselinbonnevie/an-interactive-data-science-tutorial-c51005", "kernel_id": "202445"}, {"ref": "josselinbonnevie/notebookf38b644c07", "kernel_id": "197507"}, {"ref": "dimpu143/a-journey-through-titanic", "kernel_id": "181692"}, {"ref": "dexterr/titanic", "kernel_id": "153583"}, {"ref": "mrscrew/notebook2389c108b4", "kernel_id": "151870"}, {"ref": "jasonkreinberg/notebook0c942ec64c", "kernel_id": "193427"}, {"ref": "asicgirl/notebook6023fcf723", "kernel_id": "240277"}, {"ref": "tornar/titanic-learning-5d5438", "kernel_id": "234533"}, {"ref": "tornar/first-ml", "kernel_id": "245530"}, {"ref": "azhariz/a-journey-through-titanic-171f4a74", "kernel_id": "155219"}, {"ref": "azhariz/a-journey-through-titanic", "kernel_id": "154293"}, {"ref": "qiuxinpei/titanic", "kernel_id": "229693"}, {"ref": "thyrixyang/a-journey-through-titanic", "kernel_id": "165486"}, {"ref": "tracy717/titanic", "kernel_id": "209710"}, {"ref": "tracy717/arima", "kernel_id": "209718"}, {"ref": "damonhhd/first-titanic", "kernel_id": "152243"}, {"ref": "kimiya/practice-titanic-project", "kernel_id": "157849"}, {"ref": "kimiya/imitation-of-a-journey-through-titanic", "kernel_id": "174133"}, {"ref": "kimiya/imitation-a-journey-through-titanic", "kernel_id": "175509"}, {"ref": "kimiya/test-save", "kernel_id": "175507"}, {"ref": "johnpaulguerrero/notebook0b872ada46", "kernel_id": "152223"}, {"ref": "ilalwani/notebookf26dc50cba", "kernel_id": "152420"}, {"ref": "nupursaxena/hello", "kernel_id": "152310"}, {"ref": "wtzen9255/titanic-tutorial", "kernel_id": "270108"}, {"ref": "aviral10/notebook91d57d6f6b", "kernel_id": "152393"}, {"ref": "rene00/notebookf02ebcc602", "kernel_id": "153421"}, {"ref": "rene00/rene-r-1", "kernel_id": "153422"}, {"ref": "fanyundaxia/mastering-the-basics-on-titanic", "kernel_id": "152457"}, {"ref": "abhisheek/titanic-v1-0", "kernel_id": "247408"}, {"ref": "millerzzs/introduction-to-ensembling-stacking-in-python", "kernel_id": "189325"}, {"ref": "millerzzs/notebookb0d81716ff", "kernel_id": "189327"}, {"ref": "millerzzs/notebookc038acad6b", "kernel_id": "189690"}, {"ref": "millerzzs/xgboost-test", "kernel_id": "189692"}, {"ref": "harshit77/notebook083d976a63", "kernel_id": "152683"}, {"ref": "barryking/exploring-survival-on-the-titanic", "kernel_id": "174118"}, {"ref": "nmeynaert/title", "kernel_id": "152719"}, {"ref": "dmikrav/titanic-solution", "kernel_id": "274435"}, {"ref": "srizzle/notebooka33cfa1010", "kernel_id": "180918"}, {"ref": "psyco5/notebook4a6b436181", "kernel_id": "152784"}, {"ref": "tai001/a-journey-through-titanic", "kernel_id": "170297"}, {"ref": "tai001/test2-renamed", "kernel_id": "169753"}, {"ref": "tai001/test1", "kernel_id": "169707"}, {"ref": "tai001/titanic-test", "kernel_id": "168454"}, {"ref": "tai001/notebook6d2d36d8d6", "kernel_id": "168450"}, {"ref": "anamali/a-journey-through-titanic", "kernel_id": "178386"}, {"ref": "isagal/notebook1c68c562e6", "kernel_id": "152879"}, {"ref": "stantastic/notebook732da5d904", "kernel_id": "152959"}, {"ref": "stantastic/notebook1fc3e07939", "kernel_id": "152941"}, {"ref": "vpushparaja/a-journey-through-titanic", "kernel_id": "195198"}, {"ref": "kevnpessoa/my-first-kernel", "kernel_id": "270594"}, {"ref": "beltoforion/a-journey-through-titanic", "kernel_id": "167538"}, {"ref": "ekethio/solution", "kernel_id": "153174"}, {"ref": "ekethio/titanic-solution", "kernel_id": "153127"}, {"ref": "ekethio/titanic-second", "kernel_id": "214406"}, {"ref": "ekethio/data-exploration-and-ensembling", "kernel_id": "319448"}, {"ref": "ekethio/ensembling-and-feature-engineering", "kernel_id": "320833"}, {"ref": "maosjie/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "153069"}, {"ref": "beameupscotty101/notebook01b8dc82d8", "kernel_id": "198804"}, {"ref": "kayarjun/notebook96747368dc", "kernel_id": "242184"}, {"ref": "kayarjun/notebooka8b74b4894", "kernel_id": "242181"}, {"ref": "ashish42/lets-start-with-titanic", "kernel_id": "158269"}, {"ref": "beyzanurr/a-journey-through-titanic", "kernel_id": "153382"}, {"ref": "beyzanurr/fork-of-a-journey-through-titanic", "kernel_id": "153383"}, {"ref": "mikewalpole/notebookc6809abd61", "kernel_id": "153328"}, {"ref": "busrasahin/notebookfb2fd13c0b", "kernel_id": "154836"}, {"ref": "rajeshwargaini/a-journey-through-titanic", "kernel_id": "154128"}, {"ref": "ozonosphere/notebook6d5553ff57", "kernel_id": "230711"}, {"ref": "ozonosphere/notebook0b9db8f81a", "kernel_id": "231360"}, {"ref": "derikclive/a-journey-through-titanic", "kernel_id": "173573"}, {"ref": "maxmen/a-journey-through-titanic", "kernel_id": "153584"}, {"ref": "maxmen/titanic-random-forest-82-78", "kernel_id": "177189"}, {"ref": "clementlpr/a-journey-through-titanic", "kernel_id": "156601"}, {"ref": "dexter01/notebook965a4e17ae", "kernel_id": "156529"}, {"ref": "ishanpuranik/a-journey-through-titanic-2eb5b809", "kernel_id": "165445"}, {"ref": "ishanpuranik/a-journey-through-titanic", "kernel_id": "161766"}, {"ref": "ishanpuranik/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "161763"}, {"ref": "naivecharles/a-journey-through-titanic", "kernel_id": "158633"}, {"ref": "naivecharles/a-journey-through-titanic-b3fe763c", "kernel_id": "162871"}, {"ref": "naivecharles/a-journey-through-titanic-93f56395", "kernel_id": "162874"}, {"ref": "prashantkumar484/an-interactive-data-science-tutorial", "kernel_id": "170123"}, {"ref": "prashantkumar484/notebook2853a06c3e", "kernel_id": "170128"}, {"ref": "herrhorror/a-journey-through-titanic", "kernel_id": "153676"}, {"ref": "lancelotsu/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "160288"}, {"ref": "amotamed/notebook6e3f35ab98", "kernel_id": "245748"}, {"ref": "jaideeppoonia/notebookc8a991c587", "kernel_id": "155323"}, {"ref": "hubain/titanic-data-science-solutions", "kernel_id": "153703"}, {"ref": "akritisingh/notebook5b0f760828", "kernel_id": "153969"}, {"ref": "akritisingh/titanic-test", "kernel_id": "158849"}, {"ref": "chiobrelis/notebooke199c0b083", "kernel_id": "232494"}, {"ref": "roybatty/kaggle-titanic-001", "kernel_id": "162194"}, {"ref": "kudriashov/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "161965"}, {"ref": "kudriashov/explore-data", "kernel_id": "166562"}, {"ref": "kudriashov/notebook8df9ac012c", "kernel_id": "166556"}, {"ref": "kudriashov/notebooke55f5d2e55", "kernel_id": "166550"}, {"ref": "biplov/titanic-data-analysis-and-classifier-performance", "kernel_id": "153768"}, {"ref": "sturdydata/titanic-rf", "kernel_id": "153769"}, {"ref": "kanikad5/notebookc34c3330bb", "kernel_id": "153848"}, {"ref": "terrannation/intro", "kernel_id": "153830"}, {"ref": "tsubuo/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "155216"}, {"ref": "tsubuo/a-journey-through-titanic", "kernel_id": "154803"}, {"ref": "tsubuo/notebook79f35387df", "kernel_id": "154809"}, {"ref": "lohleonard93/random-forest", "kernel_id": "226908"}, {"ref": "anuragw/learning-data-science-titanic", "kernel_id": "256120"}, {"ref": "anuragw/notebook389348b077", "kernel_id": "187763"}, {"ref": "anuragw/learning-data-science-titanic-disaster", "kernel_id": "174263"}, {"ref": "anuragw/python-titanic-data-exploration", "kernel_id": "171529"}, {"ref": "alpemreacar/notebook38e879230b", "kernel_id": "240490"}, {"ref": "alpemreacar/titanicsolutions", "kernel_id": "240492"}, {"ref": "mingduo/my-test", "kernel_id": "153940"}, {"ref": "nimz911/titanic-logisticregression", "kernel_id": "812975"}, {"ref": "csvreel/notebook548a1feca7", "kernel_id": "154231"}, {"ref": "csvreel/notebook0ed9d1ad4a", "kernel_id": "154232"}, {"ref": "gansanay/notebook2c2c1106a6", "kernel_id": "155484"}, {"ref": "mollyyyy/notebook4ed516bb5a", "kernel_id": "154053"}, {"ref": "mollyyyy/a-journey-through-titanic", "kernel_id": "154077"}, {"ref": "viktork/notebook77e171d090", "kernel_id": "228312"}, {"ref": "viktork/titanic-first-test", "kernel_id": "237353"}, {"ref": "ooxx8080/notebooka4f77e103c", "kernel_id": "155543"}, {"ref": "scoopy/testt", "kernel_id": "154124"}, {"ref": "harribo/a-journey-through-titanic", "kernel_id": "154967"}, {"ref": "bparra/notebookc22138cf25", "kernel_id": "154542"}, {"ref": "leechywen/notebook3d2e4fa5ee", "kernel_id": "248413"}, {"ref": "danayu/an-interactive-data-science-tutorial", "kernel_id": "170991"}, {"ref": "habilebadger/test-script", "kernel_id": "163202"}, {"ref": "habilebadger/notebookb60bb96f7a", "kernel_id": "163912"}, {"ref": "habilebadger/notebook0afccb24a1", "kernel_id": "163866"}, {"ref": "crustacean/fork-of-mastering-the-basics-on-titanic", "kernel_id": "159554"}, {"ref": "sevval/kaggle-titanic-001", "kernel_id": "154891"}, {"ref": "tcw321/titanic-practice-with-scikit-learn", "kernel_id": "156848"}, {"ref": "toporischev/a-journey-through-titanic", "kernel_id": "154353"}, {"ref": "kyohei4325/a-journey-through-titanic", "kernel_id": "172285"}, {"ref": "poolatte/test-tugas-kuliah", "kernel_id": "154490"}, {"ref": "gammaflauge/matt-s-titanic-effort", "kernel_id": "211697"}, {"ref": "caoxiangyong45/titanic-compare-different-model-scores", "kernel_id": "155285"}, {"ref": "caoxiangyong45/titanic-data-analysis-and-machine-learning", "kernel_id": "155286"}, {"ref": "jituaswani/titanic-survivorship-analysis", "kernel_id": "154557"}, {"ref": "jituaswani/notebookb55823f0de", "kernel_id": "230220"}, {"ref": "bharatverma/titanic-kaggle-bharat-verma-ann-1-py", "kernel_id": "169478"}, {"ref": "bharatverma/titanic-kaggle-bharat-verma-k-svm-py", "kernel_id": "169485"}, {"ref": "bharatverma/titanic-kaggle-bharat-verma-ann-py", "kernel_id": "169470"}, {"ref": "shucai/a-journey-through-titanic", "kernel_id": "155651"}, {"ref": "riskanalytics/a-comparison-of-classifers-for-titanic-disaster", "kernel_id": "258818"}, {"ref": "killmenow/stacking-with-ensemble-and-svm-imputation-0-821", "kernel_id": "289171"}, {"ref": "parasetam0l/a-journey-through-titanic", "kernel_id": "155448"}, {"ref": "o20021106/notebook8538c2a7fb", "kernel_id": "256531"}, {"ref": "tonyux/titanic-test", "kernel_id": "330017"}, {"ref": "mucyomiller/a-journey-through-titanic", "kernel_id": "154970"}, {"ref": "codebb/last-try-for-titanic", "kernel_id": "279549"}, {"ref": "codebb/advance-titanic", "kernel_id": "274852"}, {"ref": "codebb/titanic-of-kaggle", "kernel_id": "274021"}, {"ref": "shivam9523/notebook4dce02efdd", "kernel_id": "201691"}, {"ref": "shivam9523/titanic", "kernel_id": "201693"}, {"ref": "sharathchandra9/titanic-data-science-solutions", "kernel_id": "174914"}, {"ref": "fatihyucel/titanic-best-working-classifier", "kernel_id": "154800"}, {"ref": "nspatank/timepass", "kernel_id": "154908"}, {"ref": "earuso/a-journey-through-titanic", "kernel_id": "154850"}, {"ref": "reachprajwalbhandary/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "160644"}, {"ref": "ndineth100/titanic-machine-learning-from-disaster", "kernel_id": "262255"}, {"ref": "ndineth100/exploring-survival-on-the-titanic", "kernel_id": "262263"}, {"ref": "livasila/notebookd0f4d95f60", "kernel_id": "155078"}, {"ref": "chrislard/titanic-data-visualization-ml", "kernel_id": "167002"}, {"ref": "sverma21/titanic-svm-linearregression-knn-1", "kernel_id": "181915"}, {"ref": "rolltide/iceberg-work", "kernel_id": "161028"}, {"ref": "rolltide/notebook551d92cba5", "kernel_id": "154984"}, {"ref": "stephanieblubaugh/titanic-practice-with-scikit-learn", "kernel_id": "156832"}, {"ref": "ashminswain/titanic-survivors-prediction", "kernel_id": "155289"}, {"ref": "ndennler/ndennlertitanic", "kernel_id": "155141"}, {"ref": "scitesy/titanic-practice-with-scikit-learn", "kernel_id": "156846"}, {"ref": "droidkari/a-journey-through-titanic", "kernel_id": "155098"}, {"ref": "mroganad/a-journey-through-titanic", "kernel_id": "195283"}, {"ref": "ashideldar/titanic-r-random-forest", "kernel_id": "185847"}, {"ref": "nsang92/titanic-data-science-solutions", "kernel_id": "155209"}, {"ref": "daisaku/a-journey-through-titanic", "kernel_id": "190782"}, {"ref": "daisaku/a-journey-through-titanic-e2b990", "kernel_id": "191798"}, {"ref": "daisaku/a-journey-through-titanic-345cf6", "kernel_id": "191695"}, {"ref": "daisaku/notebookf7a4a9dde6", "kernel_id": "206197"}, {"ref": "chowwin/exploring-survival-on-the-titanic", "kernel_id": "155248"}, {"ref": "indira22/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "249218"}, {"ref": "vikash4281/45245", "kernel_id": "156213"}, {"ref": "lianghua/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "156031"}, {"ref": "ringbuf/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "157742"}, {"ref": "rooneyroy/notebook669b7d9be3", "kernel_id": "155319"}, {"ref": "djavaharlal/a-journey-through-titanic-bd86ce5e", "kernel_id": "167852"}, {"ref": "jie8357ioii/a-journey-through-titanic", "kernel_id": "187921"}, {"ref": "carlok/notebookf462b0a42c", "kernel_id": "170605"}, {"ref": "carlok/notebooka7af521fa4", "kernel_id": "183582"}, {"ref": "sivagollapalli/notebook9e4692edd4", "kernel_id": "242013"}, {"ref": "sivagollapalli/titanic-machine-learning-from-disaster", "kernel_id": "242017"}, {"ref": "maheshsk/a-journey-through-titanic-2bbe51ab", "kernel_id": "171660"}, {"ref": "maheshsk/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "165121"}, {"ref": "maheshsk/a-journey-through-titanic", "kernel_id": "165128"}, {"ref": "lavigneo/testo", "kernel_id": "155472"}, {"ref": "veeongg/train", "kernel_id": "155510"}, {"ref": "neighthan/simple-titanic", "kernel_id": "162158"}, {"ref": "idreamdata/a-journey-through-titanic", "kernel_id": "155595"}, {"ref": "technorati/titanic", "kernel_id": "162427"}, {"ref": "technorati/trace-titanic-python-solution-2991a7e4", "kernel_id": "180932"}, {"ref": "technorati/trace-titanic-python-solution", "kernel_id": "180929"}, {"ref": "technorati/ddawn", "kernel_id": "227750"}, {"ref": "andymd26/notebookc55d076b66", "kernel_id": "156559"}, {"ref": "andymd26/titanic-andymd26", "kernel_id": "155636"}, {"ref": "dezzman/notebook2282c6baba", "kernel_id": "156306"}, {"ref": "sociopath00/random-forest-using-gridsearchcv", "kernel_id": "387474"}, {"ref": "febinzachariah/notebook4c805edc0d", "kernel_id": "207939"}, {"ref": "onkar213/notebook08247e5d13", "kernel_id": "232020"}, {"ref": "onkar213/notebooked8df1042f", "kernel_id": "232023"}, {"ref": "narenvaishnavi/decision-tree-visualization-submission12", "kernel_id": "161717"}, {"ref": "narenvaishnavi/decision-tree-visualization-submission1", "kernel_id": "161714"}, {"ref": "narenvaishnavi/decisom", "kernel_id": "160915"}, {"ref": "narenvaishnavi/decision-tree", "kernel_id": "159601"}, {"ref": "narenvaishnavi/decision-tree-visualization-submission-na", "kernel_id": "159604"}, {"ref": "narenvaishnavi/decision-tree-visualization", "kernel_id": "159599"}, {"ref": "narenvaishnavi/decision-tree-visualization-submission-naren", "kernel_id": "159767"}, {"ref": "prabals/a-journey-through-titanic", "kernel_id": "189835"}, {"ref": "sbzhuzhu111/exploring-survival-on-the-titanic", "kernel_id": "155766"}, {"ref": "cephalysis/notebooka089449e9c", "kernel_id": "156020"}, {"ref": "no1coolguy/titanic-practice-with-scikit-learn", "kernel_id": "156844"}, {"ref": "bekiraydin/roy-s-titanic-notebook", "kernel_id": "156133"}, {"ref": "kesari08/ikesari", "kernel_id": "162190"}, {"ref": "michaelghattas/testt", "kernel_id": "191368"}, {"ref": "austinslide/a-journey-through-titanic", "kernel_id": "162835"}, {"ref": "piterfm/titanic", "kernel_id": "175152"}, {"ref": "germanmad/titanic-data-analysis-and-machine-learning", "kernel_id": "155935"}, {"ref": "dattatele/titanicexp", "kernel_id": "239273"}, {"ref": "dattatele/notebook28bf766914", "kernel_id": "239268"}, {"ref": "davidwegscheid/titanic-practice-with-scikit-learn", "kernel_id": "156791"}, {"ref": "rambopanda/beginning", "kernel_id": "160563"}, {"ref": "borjabs/notebook1a54e80fe1", "kernel_id": "219744"}, {"ref": "borjabs/test-1st-script", "kernel_id": "219738"}, {"ref": "liangh/kaggle-titanic-001", "kernel_id": "158969"}, {"ref": "liangh/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "156050"}, {"ref": "shepmaster/titanic-practice-with-scikit-learn", "kernel_id": "156837"}, {"ref": "lillywhite/titanic-practice-with-scikit-learn", "kernel_id": "156830"}, {"ref": "soumyaghosh/notebookc03267b8c7", "kernel_id": "156123"}, {"ref": "david00zhang/wewewewew", "kernel_id": "156131"}, {"ref": "david00zhang/a-journey-through-titanic", "kernel_id": "157110"}, {"ref": "zidduu/a-journey-through-titanic", "kernel_id": "159759"}, {"ref": "nzewail/notebook8066ea8117", "kernel_id": "178733"}, {"ref": "brummy/titanic-practice-with-scikit-learn", "kernel_id": "156847"}, {"ref": "vlcmdc/simple-models", "kernel_id": "172039"}, {"ref": "pavansubhasht/a-journey-through-titanic", "kernel_id": "158180"}, {"ref": "krobertson91/titanic-practice-with-scikit-learn", "kernel_id": "156849"}, {"ref": "ankushreddy/titanic", "kernel_id": "160579"}, {"ref": "ankushreddy/learn-titanic", "kernel_id": "165294"}, {"ref": "ankushreddy/titanic-learn", "kernel_id": "165284"}, {"ref": "sragole/a-journey-through-titanic", "kernel_id": "156388"}, {"ref": "sragole/a-journey-through-titanic-118f6be0", "kernel_id": "156435"}, {"ref": "mohit20091045/introduction-to-ensembling-stacking-in-python", "kernel_id": "196752"}, {"ref": "mohit20091045/a-journey-through-titanic", "kernel_id": "196823"}, {"ref": "piyushab/decision-tree-visualization-submission", "kernel_id": "161138"}, {"ref": "niminps/introduction-to-ensembling-stacking-in-python", "kernel_id": "195632"}, {"ref": "rakeshha/decision-tree-visualization-submission", "kernel_id": "162102"}, {"ref": "vinik62/titanic-pblm", "kernel_id": "203422"}, {"ref": "aruroyc/test1", "kernel_id": "159146"}, {"ref": "umar87/notebook8fee84f661", "kernel_id": "161480"}, {"ref": "nathaliep/a-journey-through-titanic-35236d80", "kernel_id": "165144"}, {"ref": "nathaliep/a-journey-through-titanic", "kernel_id": "165141"}, {"ref": "stahlscott/titanic-practice-with-scikit-learn", "kernel_id": "156805"}, {"ref": "mikelow/titanic-random-forest-82-78", "kernel_id": "179042"}, {"ref": "kittarzan/titanic-tutorial", "kernel_id": "162792"}, {"ref": "cmorgan12/titanic-practice-with-scikit-learn", "kernel_id": "156840"}, {"ref": "scascar/titanic-data-analysis-and-machine-learning", "kernel_id": "157716"}, {"ref": "nickprz/notebookc04afe4d3f", "kernel_id": "156860"}, {"ref": "nickprz/titanic-practice-with-scikit-learn-1f24c089", "kernel_id": "156876"}, {"ref": "nickprz/titanic-practice-with-scikit-learn", "kernel_id": "156868"}, {"ref": "dmichels/titanic-practice-with-scikit-learn", "kernel_id": "156788"}, {"ref": "sutliffb/notebook6f18bf4343", "kernel_id": "156858"}, {"ref": "sutliffb/notebook37eb342d6e", "kernel_id": "156845"}, {"ref": "bobbylcraig/titanic-practice-with-scikit-learn", "kernel_id": "156813"}, {"ref": "sjmadsen/titanic-practice-with-scikit-learn", "kernel_id": "156835"}, {"ref": "herrdrjones/titanic-practice-with-scikit-learn", "kernel_id": "156836"}, {"ref": "rbickham11/titanic-practice-with-scikit-learn", "kernel_id": "156833"}, {"ref": "rbickham11/titanic-practice-with-scikit-learn-4c49e6db", "kernel_id": "156857"}, {"ref": "rbickham11/titanic-practice-with-scikit-learn-12d285f5", "kernel_id": "156883"}, {"ref": "akroplax/titanic-practice-with-scikit-learn", "kernel_id": "156877"}, {"ref": "kknoflach/titanic-practice-with-scikit-learn", "kernel_id": "156855"}, {"ref": "shakhak/titanic-practice-with-scikit-learn", "kernel_id": "156882"}, {"ref": "k8tied1/titanic-practice-with-scikit-learn", "kernel_id": "156829"}, {"ref": "mhenrichsen/titanic-practice-with-scikit-learn", "kernel_id": "156838"}, {"ref": "kmartyn43/titanic-practice-with-scikit-learn", "kernel_id": "156866"}, {"ref": "aydinqlakcasu/titanic-practice-with-scikit-learn", "kernel_id": "156821"}, {"ref": "kaka2007/titanic", "kernel_id": "203775"}, {"ref": "kaka2007/notebookcd398dbfd4", "kernel_id": "203772"}, {"ref": "eklitzke/notebook2c09c68fa7", "kernel_id": "157928"}, {"ref": "akshaykadari/decision-tree-visualization-submission-3", "kernel_id": "158366"}, {"ref": "wenboqiao/titanic-practice-with-scikit-learn", "kernel_id": "156864"}, {"ref": "gennadiivoit/notebook47852f81ba", "kernel_id": "167678"}, {"ref": "gennadiivoit/titanic-data-initial-exploration", "kernel_id": "167641"}, {"ref": "alfrediwasaki/notebookb2ae04f14a", "kernel_id": "177032"}, {"ref": "alfrediwasaki/a-journey-through-titanic", "kernel_id": "169774"}, {"ref": "harrywa/logistic-regression-on-titanic-disaster-dataset", "kernel_id": "183090"}, {"ref": "erikasuita/first-work-ever", "kernel_id": "157009"}, {"ref": "lippoldt/notebookc1e3991772", "kernel_id": "157026"}, {"ref": "lippoldt/a-journey-through-titanic", "kernel_id": "157031"}, {"ref": "dysonlin/an-interactive-data-science-tutorial", "kernel_id": "202483"}, {"ref": "dysonlin/titanic-data-science-solutions-88f259", "kernel_id": "201739"}, {"ref": "dysonlin/titanic-second-submission-decision-trees", "kernel_id": "172025"}, {"ref": "dysonlin/notebookf6d8d3e1b6", "kernel_id": "172009"}, {"ref": "dysonlin/titanic-first-submission-females-survive", "kernel_id": "171958"}, {"ref": "dysonlin/titanic-third-submission-don-t-overfit", "kernel_id": "172100"}, {"ref": "dysonlin/titanic-random-forest", "kernel_id": "172125"}, {"ref": "dysonlin/titanic-scikit-learn-s-random-forest", "kernel_id": "180650"}, {"ref": "dysonlin/titanic-svm", "kernel_id": "180707"}, {"ref": "dysonlin/a-journey-through-titanic-d1386d71", "kernel_id": "177073"}, {"ref": "dysonlin/tensorflow", "kernel_id": "175375"}, {"ref": "dysonlin/a-journey-through-titanic", "kernel_id": "157219"}, {"ref": "dysonlin/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "157211"}, {"ref": "renangomes/simplified-solution-for-beginners-using-mpl", "kernel_id": "940249"}, {"ref": "renangomes/solu-o-simplificada-utilizando-mlp-pt-br", "kernel_id": "927375"}, {"ref": "krputta/notebookf3abbb7a15", "kernel_id": "157055"}, {"ref": "saintdragon/titanic-exercise", "kernel_id": "157268"}, {"ref": "martnar/notebooka78bed4229", "kernel_id": "218390"}, {"ref": "martnar/notebookef67cf22c4", "kernel_id": "217781"}, {"ref": "dial911/testpy", "kernel_id": "157347"}, {"ref": "zhuyeming/notebookc0790a657a", "kernel_id": "157338"}, {"ref": "zhuyeming/titanic", "kernel_id": "158088"}, {"ref": "jagadeeshyarramsetty/titanic-data-analysis", "kernel_id": "221607"}, {"ref": "melverton/notebook972400e341", "kernel_id": "158850"}, {"ref": "apieper/notebookfd1e47db8e", "kernel_id": "157166"}, {"ref": "jiangzzz/notebooke682c3c929", "kernel_id": "206229"}, {"ref": "okadub/notebook2608eb377c", "kernel_id": "163123"}, {"ref": "pksamantaray/titanic-data-analysis-and-machine-learning", "kernel_id": "158407"}, {"ref": "shkwak/notebookd0317987c4", "kernel_id": "157318"}, {"ref": "shkwak/titanic", "kernel_id": "157372"}, {"ref": "walsripe/titanic-py", "kernel_id": "228084"}, {"ref": "sumitgames/firsts", "kernel_id": "159926"}, {"ref": "sumitgames/notebook0ab2d46bda", "kernel_id": "162503"}, {"ref": "syxz0211/notebook0334a42be3", "kernel_id": "162404"}, {"ref": "maheshavadhanam/maheshsh", "kernel_id": "228232"}, {"ref": "ayush07/a-journey-through-titanic", "kernel_id": "160772"}, {"ref": "deew2708/notebookb1ac37df88", "kernel_id": "239628"}, {"ref": "pikamel/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "157553"}, {"ref": "helkhobzi/notebook30c6755388", "kernel_id": "157526"}, {"ref": "amipoopi/titanic-in-python", "kernel_id": "157793"}, {"ref": "awang252/assignment1", "kernel_id": "158623"}, {"ref": "danilonic/notebook3711faa0fb", "kernel_id": "158375"}, {"ref": "ravindrarashmi/decision-tree-visualization-submission-1", "kernel_id": "161378"}, {"ref": "sparrow260/a-journey-through-titanic", "kernel_id": "157647"}, {"ref": "vdodla/decision-tree-visualization-vineeth", "kernel_id": "161346"}, {"ref": "jackzzj/notebook733a5d6183", "kernel_id": "157685"}, {"ref": "muraligowthamsb/decision-tree-visualization-submission1", "kernel_id": "159572"}, {"ref": "omanekodie/titanic-random-forest-82-78", "kernel_id": "230433"}, {"ref": "patrickheront/notebookd2870e9421", "kernel_id": "157701"}, {"ref": "ammbernardes/a-journey-through-titanic", "kernel_id": "157734"}, {"ref": "smaroli/decision-tree-visualization-submission-smaroli", "kernel_id": "161053"}, {"ref": "rchoksi1/decision-tree-visualization-submission1", "kernel_id": "161587"}, {"ref": "abhishekvasu/notebookcfeccacb0e", "kernel_id": "157962"}, {"ref": "abhishekvasu/notebookb80639f636", "kernel_id": "159782"}, {"ref": "abhishekvasu/first-kaggle-attempt-titanic", "kernel_id": "159783"}, {"ref": "sukanyanath/notebookcdeb4739ac", "kernel_id": "230754"}, {"ref": "adujardin/a-journey-through-titanic-6ce511cc", "kernel_id": "179105"}, {"ref": "adujardin/a-journey-through-titanic-ee1e7025", "kernel_id": "179088"}, {"ref": "adujardin/a-journey-through-titanic", "kernel_id": "179067"}, {"ref": "frederictamagnan/notebook6847d75a02", "kernel_id": "157813"}, {"ref": "ashwinichalla/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "157989"}, {"ref": "apurva02/titanic-in-python", "kernel_id": "268501"}, {"ref": "apurva02/tutorial-python", "kernel_id": "269124"}, {"ref": "duanzzzzzz/notebookdd79f432c2", "kernel_id": "247928"}, {"ref": "asd956458817/notebook32e6593cb0", "kernel_id": "207528"}, {"ref": "hongyuzhang/notebook31f04d502c", "kernel_id": "237700"}, {"ref": "ashwinikadam/decision-tree-visualization-submission-2", "kernel_id": "161779"}, {"ref": "ashwinikadam/decision-tree-visualization-submission-3", "kernel_id": "161995"}, {"ref": "cjmmya/notebook157ab46876", "kernel_id": "158141"}, {"ref": "vishalagarwal2708/notebookb260debc8d", "kernel_id": "227456"}, {"ref": "vishalagarwal2708/a-journey-through-titanic", "kernel_id": "227468"}, {"ref": "cwkaggle/notebook8f3a8d399a", "kernel_id": "160438"}, {"ref": "verma08/decision-tree-visualization-submission1", "kernel_id": "162281"}, {"ref": "vineetakandala/decision-tree-visualization-vineeta", "kernel_id": "162233"}, {"ref": "vineetakandala/decision-tree-visualization-submission-vineeta", "kernel_id": "162228"}, {"ref": "vineetakandala/decision-tree-visualizatio-vineeta-kandala", "kernel_id": "162230"}, {"ref": "vineetakandala/decision-tree-vineeta-kandala", "kernel_id": "162241"}, {"ref": "vineetakandala/decision-tree-vineetakandala", "kernel_id": "162237"}, {"ref": "vineetakandala/decision-tree-visualization-submission", "kernel_id": "162070"}, {"ref": "datacodeninja/firsttest", "kernel_id": "157986"}, {"ref": "fadlifajrin/a-journey-through-titanic", "kernel_id": "188618"}, {"ref": "fadlifajrin/notebook5e89be77a5", "kernel_id": "188615"}, {"ref": "diekanugraha/notebook9c07763405", "kernel_id": "187562"}, {"ref": "holic1219/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "168406"}, {"ref": "holic1219/an-interactive-data-science-tutorial", "kernel_id": "168466"}, {"ref": "holic1219/a-journey-through-titanic", "kernel_id": "158060"}, {"ref": "nirajdesai/notebook9eb9095f28", "kernel_id": "158091"}, {"ref": "qwertzasd/notebook3e3292f644", "kernel_id": "161592"}, {"ref": "qwertzasd/notebook9b8438af0a", "kernel_id": "161534"}, {"ref": "qwertzasd/notebook6de8e567be", "kernel_id": "163256"}, {"ref": "yejian/introduction-to-ensembling-stacking-in-pyth-f017fe", "kernel_id": "190633"}, {"ref": "yejian/introduction-to-ensembling-stacking-in-python", "kernel_id": "190625"}, {"ref": "pengcheng4451/notebook86915145da", "kernel_id": "158204"}, {"ref": "sjzwind/pytanic-4f170a", "kernel_id": "268153"}, {"ref": "vicarizmendi/kaggle-titanic-python-7", "kernel_id": "177482"}, {"ref": "vicarizmendi/kaggle-titanic-python-v2-vicarizmendi", "kernel_id": "169462"}, {"ref": "yosoufe/kaggle-titanic-with-tensorflow", "kernel_id": "221392"}, {"ref": "kiamheong/titanic-data-science-solutions-d1bf10", "kernel_id": "241155"}, {"ref": "anupamgrewal/notebook82d783888b", "kernel_id": "222579"}, {"ref": "zhukovvlad/notebook6994ffdcd9", "kernel_id": "162573"}, {"ref": "zhukovvlad/fork-of-notebooke1fba5e36d", "kernel_id": "159908"}, {"ref": "zhukovvlad/notebook9b4043dc8e", "kernel_id": "159155"}, {"ref": "zhukovvlad/notebook9f89f8698c", "kernel_id": "199521"}, {"ref": "zhukovvlad/notebookc9e7c2d5e8", "kernel_id": "195047"}, {"ref": "vyom13/decision-tree-visualization-submission5", "kernel_id": "160961"}, {"ref": "laenan/titanic-for-the-win", "kernel_id": "158338"}, {"ref": "laenan/mtb-kernel-1", "kernel_id": "158341"}, {"ref": "kumarkeshav26/notebookc8cdb7ef8d", "kernel_id": "160578"}, {"ref": "kumarkeshav26/a-journey-through-titanic", "kernel_id": "160627"}, {"ref": "kumarkeshav26/a-journey-through-titanic-2b0eb930", "kernel_id": "160630"}, {"ref": "mrrobot314/notebook1c1e76436b", "kernel_id": "217989"}, {"ref": "sofyabodrova/a-journey-through-titanic", "kernel_id": "159321"}, {"ref": "sofyabodrova/notebook94631ff0a7", "kernel_id": "160826"}, {"ref": "sofyabodrova/a-journey-through-titanic-14fc0fa3", "kernel_id": "160843"}, {"ref": "sofyabodrova/a-journey-through-titanic-2a262295", "kernel_id": "161424"}, {"ref": "yiming93/titanic-data-analysis-and-machine-learning", "kernel_id": "165886"}, {"ref": "tomergafner/notebookb79fa49af8", "kernel_id": "255768"}, {"ref": "dotsdl/notebooke4e350515c", "kernel_id": "170733"}, {"ref": "dotsdl/notebookc3c6b49508", "kernel_id": "170684"}, {"ref": "dotsdl/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "170682"}, {"ref": "leocvpr/notebook3f151556d8", "kernel_id": "159464"}, {"ref": "leocvpr/notebook7e75ea0e8a", "kernel_id": "159479"}, {"ref": "leocvpr/titanic", "kernel_id": "159480"}, {"ref": "deborareis/my-first-r-script-for-titanic", "kernel_id": "192380"}, {"ref": "deborareis/notebooka83b00e71d", "kernel_id": "192390"}, {"ref": "fredericobraga/titanic-surviver-prediction", "kernel_id": "243223"}, {"ref": "fredericobraga/notebookb0841db47d", "kernel_id": "243273"}, {"ref": "sharms/random-forest-benchmark-r", "kernel_id": "158686"}, {"ref": "adurax/a-journey-through-titanic", "kernel_id": "158694"}, {"ref": "alejandroaragon/notebook7bfb201b13", "kernel_id": "175113"}, {"ref": "kcwang/a-journey-through-titanic-d8e581fc", "kernel_id": "165410"}, {"ref": "kcwang/a-journey-through-titanic", "kernel_id": "159433"}, {"ref": "kcwang/notebook12dcca92e5", "kernel_id": "159431"}, {"ref": "slevente/titanic", "kernel_id": "158838"}, {"ref": "bierson/notebook3adeabaf1f", "kernel_id": "166460"}, {"ref": "thanhpham94/kaggle-titanic-001", "kernel_id": "159683"}, {"ref": "zhenqiliu/titanic-survival-python-solution", "kernel_id": "158943"}, {"ref": "ramessesii/titanic-random-forest", "kernel_id": "167481"}, {"ref": "sridharc20/a-journey-through-titanic", "kernel_id": "158986"}, {"ref": "goldenshark/notebookb988e8bfc5", "kernel_id": "202915"}, {"ref": "goldenshark/notebook30b40b369c", "kernel_id": "200293"}, {"ref": "goldenshark/titanic-01", "kernel_id": "200398"}, {"ref": "shrap17/titanic-killing-me", "kernel_id": "381777"}, {"ref": "shivam2190/exploring-titanic-data", "kernel_id": "159000"}, {"ref": "lin7275/a-journey-through-titanic", "kernel_id": "159034"}, {"ref": "kbncpo/notebookc84449fc81", "kernel_id": "200256"}, {"ref": "kbncpo/notebook119950f8b0", "kernel_id": "210435"}, {"ref": "qicongsheng/notebook55449a4651", "kernel_id": "200270"}, {"ref": "qicongsheng/train2", "kernel_id": "200278"}, {"ref": "qicongsheng/train23", "kernel_id": "200279"}, {"ref": "qicongsheng/train", "kernel_id": "200263"}, {"ref": "umangvallurie/predicting-survival-on-the-titanic-using-sklearn", "kernel_id": "276677"}, {"ref": "jayanth123/a-journey-through-titanic", "kernel_id": "159132"}, {"ref": "jayanth123/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "159130"}, {"ref": "mikethomas/predicting-titanic-survivors", "kernel_id": "159578"}, {"ref": "vicbap/titanic", "kernel_id": "159235"}, {"ref": "zeba123/notebooke4633ccff8", "kernel_id": "205039"}, {"ref": "qianbi/titanic-logistic", "kernel_id": "171136"}, {"ref": "qianbi/titanic-rpart", "kernel_id": "181574"}, {"ref": "qianbi/titanic-randomforest", "kernel_id": "207804"}, {"ref": "qianbi/titanic-svm", "kernel_id": "218288"}, {"ref": "qianbi/titanic-nnet", "kernel_id": "218289"}, {"ref": "qianbi/titanic-rpart-3", "kernel_id": "220339"}, {"ref": "qianbi/titanic-logistic-2", "kernel_id": "220162"}, {"ref": "qianbi/titanic-rpart-2", "kernel_id": "220171"}, {"ref": "qianbi/titanic-voting", "kernel_id": "220183"}, {"ref": "qianbi/titanic-voting-2", "kernel_id": "220188"}, {"ref": "qianbi/python-logistic", "kernel_id": "233876"}, {"ref": "dimitrigeo/a-journey-through-titanic", "kernel_id": "159228"}, {"ref": "architumrao/titanic-dataset", "kernel_id": "205054"}, {"ref": "rajnig/a-journey-through-titanic", "kernel_id": "159379"}, {"ref": "paularpan/sample", "kernel_id": "192244"}, {"ref": "rajdev19/notebook1ddfc46bb6", "kernel_id": "181156"}, {"ref": "damienf/a-journey-through-titanic", "kernel_id": "161689"}, {"ref": "peterjmartinson/titanic-data-science-solutions", "kernel_id": "164684"}, {"ref": "schlch/train", "kernel_id": "159293"}, {"ref": "ngbolin/notebookdbe84ae9cd", "kernel_id": "258321"}, {"ref": "ngbolin/titanicpy-score-0-80382", "kernel_id": "357100"}, {"ref": "nicapotato/titanic-feature-engineering", "kernel_id": "438549"}, {"ref": "nicapotato/titanic-voting-pipeline-stack-and-guide", "kernel_id": "439033"}, {"ref": "nicapotato/experimenting-with-classification-stacking", "kernel_id": "663848"}, {"ref": "tejauw/my-first-submission", "kernel_id": "381914"}, {"ref": "surya9333/drklrd", "kernel_id": "159416"}, {"ref": "kdicoy/notebook9140b7ffe2", "kernel_id": "180633"}, {"ref": "irfani/notebook3738ccd52d", "kernel_id": "160015"}, {"ref": "lrcray/notebook038b0314be", "kernel_id": "159874"}, {"ref": "lrcray/headofp", "kernel_id": "159871"}, {"ref": "samuelroncal/notebookf21a869eec", "kernel_id": "258061"}, {"ref": "lsilvamiguel/my-titanic-adventure", "kernel_id": "262402"}, {"ref": "lsilvamiguel/a-journey-through-titanic", "kernel_id": "173528"}, {"ref": "heshammeneisi/titanic-feature-engineering-and-model-stacking", "kernel_id": "595764"}, {"ref": "kadyrbek/machine-learning-learning", "kernel_id": "251411"}, {"ref": "kadyrbek/titanic", "kernel_id": "166741"}, {"ref": "marmarko/titanic-survival-exploration", "kernel_id": "196309"}, {"ref": "marmarko/a-journey-through-titanic", "kernel_id": "197312"}, {"ref": "kloneffekt/notebook06252587e6", "kernel_id": "162447"}, {"ref": "kupchoy/simple-logistic-regression", "kernel_id": "284389"}, {"ref": "tgandhi/notebook252e72c6e8", "kernel_id": "159527"}, {"ref": "tgandhi/notebookc848c2aba4", "kernel_id": "163423"}, {"ref": "tgandhi/titantic-gender-class-only", "kernel_id": "170748"}, {"ref": "tgandhi/fork-of-predicting-survival-with-r", "kernel_id": "170763"}, {"ref": "tgandhi/fork-of-titantic-gender-class-only", "kernel_id": "171317"}, {"ref": "tgandhi/r-binomial-model", "kernel_id": "177464"}, {"ref": "tgandhi/fork-of-python-attempt", "kernel_id": "177460"}, {"ref": "arashs/a-journey-through-titanic-1a31778e", "kernel_id": "179518"}, {"ref": "arashs/a-journey-through-titanic", "kernel_id": "179516"}, {"ref": "annylee/notebook637a48bb3b", "kernel_id": "165327"}, {"ref": "edubart/notebookf78efd6186", "kernel_id": "232511"}, {"ref": "spetsnazcyclist/notebook53f6500bec", "kernel_id": "207921"}, {"ref": "michaeltoback/titanic-notebook", "kernel_id": "159876"}, {"ref": "kkuwatani/a-journey-through-titanic", "kernel_id": "159747"}, {"ref": "alessiolombardi/kaggle-titanic", "kernel_id": "171314"}, {"ref": "johnnyhu/a-journey-through-titanic", "kernel_id": "159784"}, {"ref": "johnnyhu/sachin-test", "kernel_id": "280477"}, {"ref": "medhavib/random-forests-analysis-of-titanic-survival-data", "kernel_id": "173717"}, {"ref": "vinodsinghatjnu/notebook64beb46985", "kernel_id": "231599"}, {"ref": "skannelu/decision-tree-visualization-submission-sravanik", "kernel_id": "162462"}, {"ref": "skannelu/decision-tree-visualization-submission-1", "kernel_id": "161718"}, {"ref": "csxleakbrain/a-journey-through-titanic", "kernel_id": "168413"}, {"ref": "csxleakbrain/a-journey-through-titanic-cd5b9488", "kernel_id": "169822"}, {"ref": "maolinxin/an-interactive-data-science-tutorial1", "kernel_id": "211448"}, {"ref": "maolinxin/notebook33fba1c9c4", "kernel_id": "211387"}, {"ref": "maolinxin/a-journey-through-titanic1", "kernel_id": "211463"}, {"ref": "pranoybiswas/using-log-reg-and-r-forest-algos", "kernel_id": "312844"}, {"ref": "ayushgupta4897/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "159952"}, {"ref": "pachinko/a-journey-through-titanic-b0df9ce2", "kernel_id": "179481"}, {"ref": "pachinko/a-journey-through-titanic", "kernel_id": "174506"}, {"ref": "srij96/first-kernel", "kernel_id": "219360"}, {"ref": "rejwus/exploring-survival-on-the-titanic", "kernel_id": "160929"}, {"ref": "hedgesky/a-journey-through-titanic", "kernel_id": "159995"}, {"ref": "yaozizhenjun/notebooka5a23f127c", "kernel_id": "192791"}, {"ref": "yaozizhenjun/a-journey-through-titanic", "kernel_id": "186741"}, {"ref": "continue7777/a-journey-through-titanic", "kernel_id": "183058"}, {"ref": "continue7777/fork-of-titanic-test-continue", "kernel_id": "181730"}, {"ref": "continue7777/notebook29471bdfcc", "kernel_id": "181721"}, {"ref": "continue7777/titanic-test-continue", "kernel_id": "181722"}, {"ref": "continue7777/titanic-data-science-solutions", "kernel_id": "187618"}, {"ref": "thang30/a-journey-through-titanic", "kernel_id": "191731"}, {"ref": "thang30/notebook4e50658bb9", "kernel_id": "199308"}, {"ref": "heizhuguizu/titanic-random-forest-82-78-43b39736", "kernel_id": "178669"}, {"ref": "heizhuguizu/titanic-random-forest-82-78", "kernel_id": "177937"}, {"ref": "nruggero/a-journey-through-titanic", "kernel_id": "161338"}, {"ref": "vadim777/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "161983"}, {"ref": "elliotlard/notebookeeed2750e6", "kernel_id": "172337"}, {"ref": "elliotlard/notebook9310f9fe7e", "kernel_id": "171300"}, {"ref": "negatu/empty", "kernel_id": "166457"}, {"ref": "getnat/titanic-tut", "kernel_id": "169778"}, {"ref": "victor133/a-journey-through-titanic", "kernel_id": "187850"}, {"ref": "tinykulit/notebookcf6f49258e", "kernel_id": "210947"}, {"ref": "mochie/notebook6d00e9818d", "kernel_id": "160562"}, {"ref": "bqnguyen94/titanic-data-science-solutions", "kernel_id": "216633"}, {"ref": "bqnguyen94/scikit-learn-ml-from-start-to-finish", "kernel_id": "219284"}, {"ref": "pjleimbigler/a-journey-through-titanic", "kernel_id": "196340"}, {"ref": "shubhamnagaria/random-forest-benchmark-r", "kernel_id": "195595"}, {"ref": "kangshaoshun/notebook6d55f9b1d7", "kernel_id": "204339"}, {"ref": "utkarshyadavin/exploring-survival-on-the-titanic", "kernel_id": "272201"}, {"ref": "nagnath/a-journey-through-titanic", "kernel_id": "170683"}, {"ref": "karthikhegde/notebook89e8437703", "kernel_id": "176468"}, {"ref": "ynwtint/kaggle-script", "kernel_id": "166254"}, {"ref": "ddmngml/studying-titanic-data-and-creating-features", "kernel_id": "167892"}, {"ref": "luismmscruz/a-journey-through-titanic", "kernel_id": "161618"}, {"ref": "shubhambitsg/titanic-shubham-bitsg", "kernel_id": "184975"}, {"ref": "shubhambitsg/notebook33556552e5", "kernel_id": "160918"}, {"ref": "snehadingre/decision-tree-visualization-submission", "kernel_id": "162139"}, {"ref": "usmanabbas/survival-prediction-top-13", "kernel_id": "421871"}, {"ref": "felsiq/some-amateurish-full-titanic-data-process", "kernel_id": "172152"}, {"ref": "tonygogogo/first-test", "kernel_id": "164729"}, {"ref": "michaelansel/simple-decision-tree", "kernel_id": "161185"}, {"ref": "randhawp/a-journey-through-titanic-eb288ff1", "kernel_id": "162776"}, {"ref": "randhawp/a-journey-through-titanic", "kernel_id": "161209"}, {"ref": "medericf/notebook49d34abb02", "kernel_id": "247736"}, {"ref": "medericf/titanic-survival", "kernel_id": "247740"}, {"ref": "medericf/notebookb6f8c1b5d3", "kernel_id": "247741"}, {"ref": "vigmano/notebook5b69f4554c", "kernel_id": "161178"}, {"ref": "shanderyo/notebook8945dba29b", "kernel_id": "179328"}, {"ref": "zhaokaihuang010/a-journey-through-titanic", "kernel_id": "161249"}, {"ref": "trueblue16/a-journey-through-titanic", "kernel_id": "161337"}, {"ref": "inquire/random-forest-benchmark-r", "kernel_id": "161308"}, {"ref": "inquire/random-forest-benchmark-r5", "kernel_id": "161860"}, {"ref": "inquire/decision-tree-visualization-submission", "kernel_id": "162193"}, {"ref": "romilhc/notebookeff705bd61", "kernel_id": "176920"}, {"ref": "zjzjkaggle/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "161364"}, {"ref": "zjzjkaggle/notebook7844352ef7", "kernel_id": "161430"}, {"ref": "zjzjkaggle/notebook3998dc869d", "kernel_id": "161661"}, {"ref": "privetkutya/a-journey-through-titanic", "kernel_id": "161400"}, {"ref": "privetkutya/a-journey-through-titanic-a0208092", "kernel_id": "161518"}, {"ref": "huihsu/a-journey-through-titanic", "kernel_id": "161831"}, {"ref": "huihsu/first-test", "kernel_id": "161820"}, {"ref": "smilemoon/sanjin-test", "kernel_id": "175562"}, {"ref": "catherineb/titanic-tutorial-with-python-second-submission", "kernel_id": "161511"}, {"ref": "catherineb/titanic-tutorial-python-ii-pandas", "kernel_id": "161625"}, {"ref": "catherineb/titanic-tutorial-random-forests", "kernel_id": "161687"}, {"ref": "catherineb/a-journey-through-titanic", "kernel_id": "162410"}, {"ref": "catherineb/titanic-dataquest-tutorial-random-forest", "kernel_id": "162663"}, {"ref": "catherineb/titanic-dataquest-tutorial", "kernel_id": "162611"}, {"ref": "catherineb/titanic-tutorial-with-python-first-submission", "kernel_id": "161470"}, {"ref": "alexanderogorodnikov/notebookc1bb1522d7", "kernel_id": "187231"}, {"ref": "alexanderogorodnikov/notebook637e2da90b", "kernel_id": "187390"}, {"ref": "alexanderogorodnikov/notebook0b2bd73073", "kernel_id": "191949"}, {"ref": "miguelp/notebookfd2a3b2ccb", "kernel_id": "180660"}, {"ref": "marinehi/notebook2f5a732b5b", "kernel_id": "171087"}, {"ref": "vikrantthakur14/notebook80d05d609b", "kernel_id": "178438"}, {"ref": "nancy88/a-journey-through-titanic", "kernel_id": "164464"}, {"ref": "liulin/a-journey-through-titanic", "kernel_id": "205511"}, {"ref": "liulin/a-journey-through-titanic-384383", "kernel_id": "246239"}, {"ref": "ashah59/decision-tree-visualization-submission", "kernel_id": "161783"}, {"ref": "shubhamjain7/a-journey-through-titanic", "kernel_id": "164095"}, {"ref": "saulmb93/titanic-survival", "kernel_id": "161849"}, {"ref": "chenghuasun/titanic-data-analysis-and-machine-learning", "kernel_id": "162709"}, {"ref": "chenghuasun/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "162217"}, {"ref": "kpatil3/decision-tree-visualization-submission1", "kernel_id": "162024"}, {"ref": "kpatil3/decision-tree-visualization-submission", "kernel_id": "162002"}, {"ref": "floptical/kaggle-titanic-toe-dip", "kernel_id": "252127"}, {"ref": "btrombly/titanic", "kernel_id": "168101"}, {"ref": "akhalsa/notebook7b280fd43c", "kernel_id": "189336"}, {"ref": "akhalsa/notebook73b2976293", "kernel_id": "189337"}, {"ref": "akhalsa/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "189333"}, {"ref": "anthonyscg/notebooka3f7fe874f", "kernel_id": "172633"}, {"ref": "anthonyscg/notebook2d1e37802f", "kernel_id": "172617"}, {"ref": "anthonyscg/notebook913cd0a19f", "kernel_id": "172598"}, {"ref": "liadl777/titanic-psp", "kernel_id": "222059"}, {"ref": "sallie/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "167019"}, {"ref": "danescalador/titanic", "kernel_id": "165792"}, {"ref": "danescalador/notebookbcc467b335", "kernel_id": "165696"}, {"ref": "rakach/decision-tree-visualization-submission-rakach", "kernel_id": "162017"}, {"ref": "rakach/decision-tree-visualization-submission-raka", "kernel_id": "162008"}, {"ref": "anjaninalla/decision-tree-visualization-submission", "kernel_id": "162153"}, {"ref": "rjgiedt/notebook759aae26fb", "kernel_id": "233029"}, {"ref": "rachit29/decision-tree-visualization-submission", "kernel_id": "162063"}, {"ref": "rachit29/decision-tree-visualization-submission29", "kernel_id": "162064"}, {"ref": "newchanuwas/notebooka6e86701ba", "kernel_id": "181628"}, {"ref": "newchanuwas/titanic-sinking", "kernel_id": "181641"}, {"ref": "vanditakandala/decision-tree-visualization-submission1", "kernel_id": "162219"}, {"ref": "vanditakandala/decision-tree-visualization-sumission", "kernel_id": "162250"}, {"ref": "shivachaithanya/decision-tree-visualization-submission", "kernel_id": "162162"}, {"ref": "pradyuth/notebook3e70709322", "kernel_id": "209387"}, {"ref": "zhoukj/titanic-best-working-classifier", "kernel_id": "172500"}, {"ref": "zhoukj/notebookbc115b9749", "kernel_id": "169748"}, {"ref": "efezinoerome/a-statistical-analysis-of-titanic-with-ml-models", "kernel_id": "646996"}, {"ref": "efezinoerome/partial-dependence-plots", "kernel_id": "904030"}, {"ref": "efezinoerome/exploring-survival-on-the-titanic", "kernel_id": "841449"}, {"ref": "luizhenriquesoares/exploratory-analysis-titanic", "kernel_id": "162132"}, {"ref": "luizhenriquesoares/notebook97f2bd2738", "kernel_id": "162488"}, {"ref": "luizhenriquesoares/notebook0a67767cbb", "kernel_id": "162489"}, {"ref": "luizhenriquesoares/notebook14b4a13450", "kernel_id": "179275"}, {"ref": "luizhenriquesoares/notebook70da9b47e3", "kernel_id": "209228"}, {"ref": "ellatenbarge/notebook64d0b82c60", "kernel_id": "162407"}, {"ref": "youngseok/a-journey-through-titanic-583d319d", "kernel_id": "164631"}, {"ref": "youngseok/a-journey-through-titanic-74a9c060", "kernel_id": "164628"}, {"ref": "jeffreyeffendy/tutorial-titanic", "kernel_id": "261976"}, {"ref": "sandeepmanchala/sandy", "kernel_id": "162239"}, {"ref": "sandeepmanchala/sandeep-manchala", "kernel_id": "162242"}, {"ref": "mosta17/a-journey-through-titanic", "kernel_id": "166638"}, {"ref": "taja39/random-forest-benchmark-r", "kernel_id": "164226"}, {"ref": "romolibakshi/titanic-test-script", "kernel_id": "203454"}, {"ref": "amrinder/titanic-data-science-solutions", "kernel_id": "196814"}, {"ref": "riconan/notebook982acbc51e", "kernel_id": "192026"}, {"ref": "santhoshuj/traindata", "kernel_id": "162315"}, {"ref": "chingz/notebooka2d60884e1", "kernel_id": "177844"}, {"ref": "chingz/notebook56b6af7504", "kernel_id": "177845"}, {"ref": "lililixiang/notebookc394fbc456", "kernel_id": "249491"}, {"ref": "chikolla/notebooked9e382292", "kernel_id": "201104"}, {"ref": "prvccy/notebook8f65c126bf", "kernel_id": "204901"}, {"ref": "prvccy/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "162384"}, {"ref": "invariant47/notebookfda3a3cd7d", "kernel_id": "162498"}, {"ref": "hjkajh/notebook80fc014634", "kernel_id": "234946"}, {"ref": "sisirpatnaik/notebook1f0959dfbc", "kernel_id": "221057"}, {"ref": "nico7272/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "165695"}, {"ref": "nico7272/titanic-maritime-machine-learning", "kernel_id": "174904"}, {"ref": "heolin/predicting-titanic-survival-using-svm", "kernel_id": "172923"}, {"ref": "yskym1/notebook0d70ae4b2a", "kernel_id": "166359"}, {"ref": "chenyuan/a-journey-through-titanic", "kernel_id": "162472"}, {"ref": "littl3tiger/notebook76b6b310d7", "kernel_id": "177161"}, {"ref": "littl3tiger/first-test", "kernel_id": "177941"}, {"ref": "littl3tiger/first-try", "kernel_id": "177945"}, {"ref": "smartguo/notebook2a0c0e2915", "kernel_id": "234381"}, {"ref": "smartguo/an-interactive-data-science-tutorial-8f8668", "kernel_id": "242905"}, {"ref": "iabocar/simple-neural-network-with-1-hidden-layer", "kernel_id": "172253"}, {"ref": "iabocar/fork-of-simple-neural-network-with-1-hidden-layer", "kernel_id": "172256"}, {"ref": "iabocar/notebook90c917ab54", "kernel_id": "170666"}, {"ref": "parasmani/notebookceed3254cf", "kernel_id": "173637"}, {"ref": "parasmani/an-interactive-data-science-tutorial", "kernel_id": "174409"}, {"ref": "parasmani/a-journey-through-titanic-edc59443", "kernel_id": "175314"}, {"ref": "parasmani/a-journey-through-titanic", "kernel_id": "175276"}, {"ref": "parasmani/data-driven-exploration-of-survival-on-titanic", "kernel_id": "175280"}, {"ref": "ruby001/a-journey-through-titanic", "kernel_id": "163073"}, {"ref": "thesonsy/titanic-lazy-person-s-classification", "kernel_id": "176583"}, {"ref": "dmacwilliams/a-journey-through-titanic", "kernel_id": "169334"}, {"ref": "stiane/an-interactive-data-science-tutorial-c9a84e69", "kernel_id": "168628"}, {"ref": "stiane/an-interactive-data-science-tutorial-1fe4448e", "kernel_id": "169256"}, {"ref": "stiane/an-interactive-data-science-tutorial-d26a609a", "kernel_id": "169289"}, {"ref": "stiane/an-interactive-data-science-tutorial", "kernel_id": "167858"}, {"ref": "stiane/mobiles-titanic-journey", "kernel_id": "162597"}, {"ref": "armeng/asdasd", "kernel_id": "164060"}, {"ref": "thir13enth/notebookcf5d9df00f", "kernel_id": "204229"}, {"ref": "thir13enth/mark-titanic", "kernel_id": "204231"}, {"ref": "thetringuyen/notebook433a33ad4e", "kernel_id": "164560"}, {"ref": "wildwestduck/test0", "kernel_id": "176426"}, {"ref": "kartikey0303/notebookf69fb1ecfc", "kernel_id": "190608"}, {"ref": "liker58/a-journey-through-titanic", "kernel_id": "162703"}, {"ref": "luizhenriquesoares91/analise-de-dados-titanic", "kernel_id": "162736"}, {"ref": "fedecarne/scikit-learn-ml-from-start-to-finish", "kernel_id": "225043"}, {"ref": "rebent/a-journey-through-titanic", "kernel_id": "162833"}, {"ref": "jeanmidev/notebook4d6a03b66a", "kernel_id": "255433"}, {"ref": "chamori/a-journey-through-titanic", "kernel_id": "167362"}, {"ref": "akashpatel0509/a-journey-through-titanic", "kernel_id": "162863"}, {"ref": "sahiljindal290/notebook56e547354d", "kernel_id": "236670"}, {"ref": "sahiljindal290/notebookc1bfb4d224", "kernel_id": "174921"}, {"ref": "sahiljindal290/notebookdd5c310445", "kernel_id": "174918"}, {"ref": "jinhlee/randomforest-feature-eng-imputation-titanic", "kernel_id": "169265"}, {"ref": "jinhlee/notebooka9d3a6011a", "kernel_id": "168616"}, {"ref": "zhaoruyi666/test1", "kernel_id": "166300"}, {"ref": "ntutcswang/titanic-predict", "kernel_id": "166017"}, {"ref": "darkmastersugar/notebook07be3b6fe1", "kernel_id": "163141"}, {"ref": "aws2222/tutorials1-of-mine-titanic", "kernel_id": "235153"}, {"ref": "divya05goyal/survivor-data", "kernel_id": "206218"}, {"ref": "yanggf008/notebooke1db6df3b5", "kernel_id": "212996"}, {"ref": "yanggf008/titleyanggf", "kernel_id": "212975"}, {"ref": "vish3011/titanic-py", "kernel_id": "163299"}, {"ref": "emay201/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "163997"}, {"ref": "vineet15/notebook361de52af9", "kernel_id": "164447"}, {"ref": "hamzahanchi/notebookb485a70663", "kernel_id": "261627"}, {"ref": "atanughosh/titanic-data-analysis-and-machine-learning", "kernel_id": "163275"}, {"ref": "jasmincaba/titanic-data", "kernel_id": "214237"}, {"ref": "mayankgandhi/a-journey-through-titanic-ca923a99", "kernel_id": "173262"}, {"ref": "anurag3753/notebookcc23470d07", "kernel_id": "203034"}, {"ref": "somania/a-journey-through-titanic", "kernel_id": "163361"}, {"ref": "tuxoff/notebook9ed512b638", "kernel_id": "165219"}, {"ref": "tuxoff/titanic-test-322", "kernel_id": "165220"}, {"ref": "trungn/trungng", "kernel_id": "202212"}, {"ref": "hfef7ui2/a-journey-through-titanic", "kernel_id": "167518"}, {"ref": "dreamriver/notebook0a5d6648d9", "kernel_id": "215661"}, {"ref": "lagprophet/titanic", "kernel_id": "166214"}, {"ref": "daskoo/titanic-test-python", "kernel_id": "163434"}, {"ref": "daskoo/titanic-r-test", "kernel_id": "163672"}, {"ref": "joshuapoirier/my-first-r-script", "kernel_id": "163474"}, {"ref": "qige96/notebookadc6a36ae9", "kernel_id": "174160"}, {"ref": "qige96/an-interactive-data-science-tutorial", "kernel_id": "174166"}, {"ref": "kumarsvinod20/a-journey-through-titanic", "kernel_id": "163502"}, {"ref": "vicriss/just-test", "kernel_id": "190768"}, {"ref": "nicolasmontes/make-neural-networks-compete", "kernel_id": "182128"}, {"ref": "adamfraser/titanic", "kernel_id": "163617"}, {"ref": "raylaiwaiho/titanic-data-science-solutions", "kernel_id": "188065"}, {"ref": "jenilmewada/titanic", "kernel_id": "236429"}, {"ref": "daryle/a-journey-through-titanic", "kernel_id": "166248"}, {"ref": "kash007/a-journey-through-titanic", "kernel_id": "163675"}, {"ref": "benj1907/support-vector-machine-0-79426", "kernel_id": "284433"}, {"ref": "benj1907/decision-trees-0-79426", "kernel_id": "286391"}, {"ref": "benj1907/logistic-regression-with-aic-0-789", "kernel_id": "283415"}, {"ref": "benj1907/simple-naive-bayes", "kernel_id": "279060"}, {"ref": "kfunger/exploring-survival-on-the-titanic", "kernel_id": "271701"}, {"ref": "strubleca/investigating-titanic-disasters", "kernel_id": "258997"}, {"ref": "kay0822/titanic", "kernel_id": "165150"}, {"ref": "rohangawade/notebook54dd27ae95", "kernel_id": "259183"}, {"ref": "rishikeshkumar/notebookdce9c34e6d", "kernel_id": "171332"}, {"ref": "caovannguyen/notebooke1fec04915", "kernel_id": "181095"}, {"ref": "duduscript/gendermodel", "kernel_id": "163972"}, {"ref": "duduscript/perceptron", "kernel_id": "197880"}, {"ref": "qichense/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "164627"}, {"ref": "johnnymedhanie/notebook8f895b378e", "kernel_id": "245649"}, {"ref": "rrpathrabe/python-titanic", "kernel_id": "164107"}, {"ref": "sunny19/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "164263"}, {"ref": "wzz18191171661/notebookf7977cbe80", "kernel_id": "215490"}, {"ref": "mohitagarwal/mohit-s-attempt", "kernel_id": "233054"}, {"ref": "mohitagarwal/notebook8425b2f7d2", "kernel_id": "232467"}, {"ref": "pengchengchen/a-journey-through-titanic", "kernel_id": "166129"}, {"ref": "pengchengchen/my-first-submission", "kernel_id": "166651"}, {"ref": "duyiqi/notebook428c2f9152", "kernel_id": "178787"}, {"ref": "duyiqi/titanic-random-forest-82-78-55c94918", "kernel_id": "179060"}, {"ref": "duyiqi/titanic-random-forest-82-78", "kernel_id": "179048"}, {"ref": "duyiqi/a-journey-through-titanic", "kernel_id": "169393"}, {"ref": "duyiqi/notebook93dd651c90", "kernel_id": "169390"}, {"ref": "duyiqi/my-first-test", "kernel_id": "164781"}, {"ref": "sinabhi/a-journey-through-titanic", "kernel_id": "164427"}, {"ref": "sinabhi/a-journey-through-titanic-bb5c3a96", "kernel_id": "181834"}, {"ref": "sinabhi/titanic-disaster-management-using-python", "kernel_id": "296921"}, {"ref": "eirikulversoy/titanictest", "kernel_id": "167944"}, {"ref": "shenglei/first-try-in-titanic", "kernel_id": "298642"}, {"ref": "shenglei/second-try-in-titanic-with-ensemble-stacking", "kernel_id": "301410"}, {"ref": "maryamgrimich/test-zyed", "kernel_id": "179901"}, {"ref": "zyedpls/test-team", "kernel_id": "179943"}, {"ref": "zyedpls/test-zyed", "kernel_id": "179880"}, {"ref": "zyedpls/a-journey-through-titanic", "kernel_id": "275089"}, {"ref": "shivam920302/notebookc85a3edef0", "kernel_id": "196794"}, {"ref": "shivam920302/a-journey-through-titanic", "kernel_id": "164797"}, {"ref": "zengjinfeng/notebook4f4621523b", "kernel_id": "177102"}, {"ref": "swatishukla/exploring-survival-on-the-titanic", "kernel_id": "164215"}, {"ref": "junya0714/notebookdf89387d92", "kernel_id": "164270"}, {"ref": "disimone/first-look-at-the-titanic-challenge", "kernel_id": "164261"}, {"ref": "louiechung/titanic", "kernel_id": "220338"}, {"ref": "michaelfeng/notebook78420b190e", "kernel_id": "177081"}, {"ref": "michaelfeng/titanic", "kernel_id": "177165"}, {"ref": "fredfoc/an-interactive-data-science-tutorial", "kernel_id": "264940"}, {"ref": "fredfoc/an-interactive-data-science-tutorial-c430d5", "kernel_id": "265951"}, {"ref": "kheyjenq/notebookaed8add0f3", "kernel_id": "221638"}, {"ref": "timip8/titanic-forest-exploration", "kernel_id": "268353"}, {"ref": "imrulkayes/titanic-data-science-solutions", "kernel_id": "184998"}, {"ref": "takhub/notebookf387d2c72e", "kernel_id": "246055"}, {"ref": "jbarbs92/a-journey-through-titanic", "kernel_id": "165187"}, {"ref": "bradrobinson/notebook9afe5b1d47", "kernel_id": "175593"}, {"ref": "mitchellroberts/a-journey-through-titanic", "kernel_id": "168294"}, {"ref": "nivelen/a-journey-through-titanic", "kernel_id": "165119"}, {"ref": "nivelen/a-journey-through-titanic-75c00227", "kernel_id": "165367"}, {"ref": "nivelen/an-interactive-data-science-tutorial", "kernel_id": "224031"}, {"ref": "hectorhua/notebook2427eb72c8", "kernel_id": "196835"}, {"ref": "maoleary92/notebook549654d14f", "kernel_id": "164733"}, {"ref": "leereed/titantic", "kernel_id": "164856"}, {"ref": "aakarshitagarwal/notebook837d35db30", "kernel_id": "242254"}, {"ref": "aakarshitagarwal/notebookd7ba46d5fd", "kernel_id": "242256"}, {"ref": "vibinittiachan/a-journey-through-titanic", "kernel_id": "178795"}, {"ref": "hiro2017/new-code", "kernel_id": "165361"}, {"ref": "hiro2017/python-sample", "kernel_id": "165450"}, {"ref": "hiro2017/python-random-forest-ver-2", "kernel_id": "165489"}, {"ref": "hiro2017/python-random-forest", "kernel_id": "165472"}, {"ref": "manfredooo/notebooka222461913", "kernel_id": "164902"}, {"ref": "jkumar12121988/notebook3f6f554ea8", "kernel_id": "184352"}, {"ref": "demborg/notebookfa9b5717be", "kernel_id": "164932"}, {"ref": "demborg/notebook2586c881b3", "kernel_id": "172849"}, {"ref": "demborg/notebook347a85f1fd", "kernel_id": "173460"}, {"ref": "demborg/learning-regression-in-r-from-titanic", "kernel_id": "177518"}, {"ref": "demborg/testingaxel", "kernel_id": "177549"}, {"ref": "sunyuhao222/a-journey-through-titanic", "kernel_id": "165470"}, {"ref": "sunyuhao222/a-journey-through-titanic-8a0dfd71", "kernel_id": "165626"}, {"ref": "sunyuhao222/titanic-fork1", "kernel_id": "166646"}, {"ref": "khemon/a-journey-through-titanic", "kernel_id": "164967"}, {"ref": "khemon/a-journey-through-titanic-d38ba74d", "kernel_id": "165010"}, {"ref": "benjamineric/notebook29d0fe333b", "kernel_id": "165359"}, {"ref": "benjamineric/notebooka32eda476f", "kernel_id": "165360"}, {"ref": "alexiscottereau/introduction-to-ensembling-stacking-in-python", "kernel_id": "193932"}, {"ref": "mrhenryyu/genetic-programming-lb-0-88", "kernel_id": "188309"}, {"ref": "zhangxuangu/machine-learning-for-survival-prediction-2", "kernel_id": "166247"}, {"ref": "zhangxuangu/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "167830"}, {"ref": "zhangxuangu/a-journey-through-titanic", "kernel_id": "167817"}, {"ref": "zhangxuangu/titanic-data-science-solutions", "kernel_id": "264533"}, {"ref": "ideaway/notebookb3cba22679", "kernel_id": "166894"}, {"ref": "ideaway/a-journey-through-titanic", "kernel_id": "167028"}, {"ref": "ideaway/first-test", "kernel_id": "166988"}, {"ref": "solonewbie/notebook4dbd31e43e", "kernel_id": "165152"}, {"ref": "ketchuponcake/mytry-1", "kernel_id": "165181"}, {"ref": "rameshfernando/notebook91ebe58b94", "kernel_id": "165202"}, {"ref": "mitchfrump/a-journey-through-titanic", "kernel_id": "165282"}, {"ref": "careeryangli/a-journey-through-titanic", "kernel_id": "169728"}, {"ref": "harpergu/titanic", "kernel_id": "172426"}, {"ref": "shrekar/a-journey-through-titanic", "kernel_id": "195743"}, {"ref": "janeliang/a-journey-through-titanic", "kernel_id": "165509"}, {"ref": "hutedc/a-journey-through-titanic", "kernel_id": "165543"}, {"ref": "spawnie/notebook4ca0b6037b", "kernel_id": "234251"}, {"ref": "spawnie/notebook6472f2988e", "kernel_id": "234252"}, {"ref": "blaiz91/a-journey-through-titanic", "kernel_id": "169428"}, {"ref": "kanwalj/notebookd313da9450", "kernel_id": "204213"}, {"ref": "venkateshwarj/genetic-programming-lb-0-88", "kernel_id": "198409"}, {"ref": "venkateshwarj/a-journey-through-titanic", "kernel_id": "198403"}, {"ref": "venkateshwarj/titanic-kernel", "kernel_id": "198371"}, {"ref": "venkateshwarj/testing-tensor-flow", "kernel_id": "199335"}, {"ref": "venkateshwarj/notebookc02d753e05", "kernel_id": "199197"}, {"ref": "gzxultra/notebookcd5181e096", "kernel_id": "166116"}, {"ref": "kartik31/a-journey-through-titanic-8a0dfd71-7f2a038e", "kernel_id": "165771"}, {"ref": "kartik31/a-journey-through-titanic-8a0dfd71", "kernel_id": "165763"}, {"ref": "kartik31/notebook6527fe6137", "kernel_id": "223193"}, {"ref": "kartik31/notebookdf05b9b557", "kernel_id": "274379"}, {"ref": "nliu71/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "170931"}, {"ref": "shayman12/fork-of-titanic", "kernel_id": "166288"}, {"ref": "shayman12/titanic-machine-learning-from-disaster", "kernel_id": "166305"}, {"ref": "shayman12/titanic-mechanic-machine-learning", "kernel_id": "166389"}, {"ref": "shayman12/a-journey-through-titanic-9023f9a6", "kernel_id": "166282"}, {"ref": "shayman12/titanic", "kernel_id": "166285"}, {"ref": "shayman12/titanic-machine-learning-from-disaster-seminar", "kernel_id": "166449"}, {"ref": "shayman12/a-journey-through-titanic", "kernel_id": "165782"}, {"ref": "shayman12/fork-of-titanic-machine-learning-from-disaster", "kernel_id": "188177"}, {"ref": "shayman12/fork-of-titanic-machine-learning-from-dis-0f0442", "kernel_id": "188180"}, {"ref": "gergobakos/notebook77cdb97358", "kernel_id": "166336"}, {"ref": "nickly/a-journey-through-titanic", "kernel_id": "180579"}, {"ref": "ameya1295/titanic-exploration", "kernel_id": "390548"}, {"ref": "ryon49/zzzzzz", "kernel_id": "168451"}, {"ref": "ryon49/z-z-z-z", "kernel_id": "168482"}, {"ref": "jackielida/a-journey-through-titanic", "kernel_id": "165963"}, {"ref": "xiongq/titanic0", "kernel_id": "166783"}, {"ref": "xiongq/a-journey-through-titanic", "kernel_id": "167558"}, {"ref": "manfeyn/a-journey-through-titanic", "kernel_id": "191831"}, {"ref": "manfeyn/introduction-to-ensembling-stacking-in-python", "kernel_id": "192732"}, {"ref": "aduffy/notebook569da2af2c", "kernel_id": "165983"}, {"ref": "ganeshrapolu/notebookbe7928e775", "kernel_id": "170284"}, {"ref": "bortoli/exploring-survival-on-the-titanic", "kernel_id": "168274"}, {"ref": "vansh91/data-analysis", "kernel_id": "166637"}, {"ref": "vansh91/notebook81ad4e3bef", "kernel_id": "167262"}, {"ref": "vansh91/helloq", "kernel_id": "167265"}, {"ref": "vansh91/notebook4fd82762fa", "kernel_id": "167266"}, {"ref": "robinyru/titanic-approach-from-scratch", "kernel_id": "167635"}, {"ref": "jungsuheo/notebook9942f95ab2", "kernel_id": "166100"}, {"ref": "derekallman5/a-journey-through-titanic", "kernel_id": "186826"}, {"ref": "rightoffreedom/a-journey-through-titanic", "kernel_id": "166096"}, {"ref": "reliability/tutorial", "kernel_id": "166823"}, {"ref": "reliability/titanic-try", "kernel_id": "179494"}, {"ref": "rachelma/notebook2cd3d50995", "kernel_id": "166876"}, {"ref": "rahulbeniwal/titanic-machine-learning-from-disaster", "kernel_id": "260459"}, {"ref": "jiangzhiyuan/titanic", "kernel_id": "166159"}, {"ref": "wtjw1993/predicting-survival-on-the-titanic", "kernel_id": "197931"}, {"ref": "clumsyeater/the-titanic-project", "kernel_id": "169417"}, {"ref": "clumsyeater/fork-of-the-titanic-project", "kernel_id": "169420"}, {"ref": "alxdbs/quick-estimations", "kernel_id": "246885"}, {"ref": "unni332265/notebook586f97062c", "kernel_id": "220213"}, {"ref": "arpitshah101/exploring-survival-on-the-titanic", "kernel_id": "173470"}, {"ref": "shenchen/exploring-survival-on-the-titanic", "kernel_id": "188554"}, {"ref": "shenchen/notebook3343a871a4", "kernel_id": "202274"}, {"ref": "chulti/notebook7965d697ce", "kernel_id": "175629"}, {"ref": "nathanslaughter/swimming-in-the-titanic-data-python-way", "kernel_id": "197801"}, {"ref": "tmsp2017/notebook0ac9d5713d", "kernel_id": "191156"}, {"ref": "tmsp2017/exploring-survival-on-the-titanic", "kernel_id": "208288"}, {"ref": "manuzhang/a-journey-through-titanic", "kernel_id": "236146"}, {"ref": "sluk3r/a-journey-through-titanic-c44b1e3a", "kernel_id": "167597"}, {"ref": "sluk3r/a-journey-through-titanic", "kernel_id": "167593"}, {"ref": "kefortney/titanic-maritime-machine-learning", "kernel_id": "167487"}, {"ref": "mis120500/an-interactive-data-science-tutorial", "kernel_id": "179760"}, {"ref": "ztem11011/ztemtitanic-1", "kernel_id": "175069"}, {"ref": "yelliot/titanic-tutorial", "kernel_id": "268841"}, {"ref": "carsonpotter/titanic-python-kernel", "kernel_id": "257447"}, {"ref": "kdhuleshia/introduction-to-ensembling-stacking-in-python", "kernel_id": "187519"}, {"ref": "vivektamilarasan/notebook0e4233c720", "kernel_id": "185204"}, {"ref": "guptab02/notebook9fae5fe738", "kernel_id": "166902"}, {"ref": "christian212/notebookaf229cf6de", "kernel_id": "166918"}, {"ref": "eshamohamed/predicting-survivors", "kernel_id": "335181"}, {"ref": "ariyatan/a-journey-through-titanic", "kernel_id": "166971"}, {"ref": "adityaagg/notebook0e1b06da41", "kernel_id": "202105"}, {"ref": "catyiqian/titanic-random-forest-82-78", "kernel_id": "187465"}, {"ref": "roarki/notebook100f1551af", "kernel_id": "167127"}, {"ref": "roarki/a-journey-through-titanic", "kernel_id": "167129"}, {"ref": "amandavinci/titanic", "kernel_id": "169230"}, {"ref": "amandavinci/notebook6e3ae81302", "kernel_id": "169345"}, {"ref": "kolbecks/notebook6d8b82e9fd", "kernel_id": "180055"}, {"ref": "e1dunne/notebook15f9620ef0", "kernel_id": "256309"}, {"ref": "ajithk/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "167022"}, {"ref": "omersella/a-journey-through-titanic", "kernel_id": "182611"}, {"ref": "pivanov/exploring-survival-on-the-titanic", "kernel_id": "167812"}, {"ref": "pivanov/titanic-data-exploration", "kernel_id": "167815"}, {"ref": "xd1234/a-journey-through-titanic", "kernel_id": "176939"}, {"ref": "rociomelus/notebook96f1a92144", "kernel_id": "167121"}, {"ref": "shikhar96/titanic-prediction-using-scikit-learn-tutorial", "kernel_id": "336597"}, {"ref": "rodneycat/a-journey-through-titanic", "kernel_id": "167823"}, {"ref": "rodneycat/notebook7116e2e846", "kernel_id": "167877"}, {"ref": "rodneycat/notebookfee2126d26", "kernel_id": "169173"}, {"ref": "rodneycat/notebook513b8c1694", "kernel_id": "169176"}, {"ref": "rahulborkar25/notebook762d470a8c", "kernel_id": "231192"}, {"ref": "rwamuks/notebook5d8a27a9cc", "kernel_id": "265747"}, {"ref": "francois2k1/hello-world-titanic", "kernel_id": "167163"}, {"ref": "pavrei/123456", "kernel_id": "167159"}, {"ref": "sergionoviello/age-null-values", "kernel_id": "322831"}, {"ref": "amirpupko/a-journey-through-titanic", "kernel_id": "167170"}, {"ref": "leiberl/a-journey-through-titanic", "kernel_id": "167210"}, {"ref": "kishorekolluru/samplemodel", "kernel_id": "167222"}, {"ref": "kishorekolluru/sample-model-r", "kernel_id": "167223"}, {"ref": "kishorekolluru/random-forest-benchmark-sample-1", "kernel_id": "167233"}, {"ref": "trailblazzer/a-journey-through-titanic", "kernel_id": "167237"}, {"ref": "kevenfc/introduction-to-ensembling-stacking-in-python", "kernel_id": "680288"}, {"ref": "chrisjr/a-journey-through-titanic", "kernel_id": "167318"}, {"ref": "ataurani/exploring-survival-on-the-titanic", "kernel_id": "167372"}, {"ref": "tessacooper/exploring-survival-on-the-titanic", "kernel_id": "181218"}, {"ref": "tessacooper/exploring-survival-on-the-titanic3", "kernel_id": "181231"}, {"ref": "beemit/notebook1d8db65882", "kernel_id": "275673"}, {"ref": "raubsaurier/fork-of-titanic-notebook", "kernel_id": "168136"}, {"ref": "raubsaurier/titanic-notebook", "kernel_id": "167378"}, {"ref": "shoubakka/exploring-survival-on-the-titanic", "kernel_id": "167418"}, {"ref": "sruthisarajacob/notebook7273c3cd2f", "kernel_id": "170114"}, {"ref": "brirush/randomforest-implementation-of-titanic", "kernel_id": "170263"}, {"ref": "brirush/naive-bayes-for-titanic", "kernel_id": "173140"}, {"ref": "brirush/logistic-regression-for-titanic", "kernel_id": "173019"}, {"ref": "brirush/titanic-nearest-neighbor-using-squared-correlation", "kernel_id": "167426"}, {"ref": "brirush/svm-for-titanic", "kernel_id": "173755"}, {"ref": "brirush/working-code-for-5-basic-machine-learning-methods", "kernel_id": "177046"}, {"ref": "brirush/notebook32246c24d9", "kernel_id": "177018"}, {"ref": "brirush/xgboost-for-titanic", "kernel_id": "176316"}, {"ref": "bulkedge/a-journey-through-titanic", "kernel_id": "168284"}, {"ref": "bulkedge/simple-dnn-for-titanic", "kernel_id": "200366"}, {"ref": "bulkedge/introduction-to-ensembling-stacking-in-python", "kernel_id": "195058"}, {"ref": "rajseb/notebookb9b109f2af", "kernel_id": "218541"}, {"ref": "amanray/notebook21a4e22ac2", "kernel_id": "170032"}, {"ref": "seventhsense/notebookb02e0edaad", "kernel_id": "224374"}, {"ref": "pathaksac/notebook2d37781566", "kernel_id": "167567"}, {"ref": "italyifori/notebook81ff141898", "kernel_id": "167568"}, {"ref": "italyifori/a-journey-through-titanic", "kernel_id": "167566"}, {"ref": "mac4vity/exploring-survival-on-the-titanic", "kernel_id": "178782"}, {"ref": "jagadeesh123/notebook-sample-titanic", "kernel_id": "335945"}, {"ref": "coruscatingprasad/titanicprasad", "kernel_id": "208730"}, {"ref": "vagishvandana/titanic-survival-prediction-with-knn", "kernel_id": "298717"}, {"ref": "kanaks/notebook47312f4aa1", "kernel_id": "204262"}, {"ref": "juturu97/exploring-survival-on-the-titanic", "kernel_id": "357678"}, {"ref": "jamesji/a-journey-through-titanic", "kernel_id": "168374"}, {"ref": "unmeless/notebook5031e1924f", "kernel_id": "191985"}, {"ref": "refrain/my-titanic", "kernel_id": "167784"}, {"ref": "echolin/a-journey-through-titanic", "kernel_id": "167850"}, {"ref": "echolin/titanic", "kernel_id": "216263"}, {"ref": "sweettacos/ijijijiji", "kernel_id": "167757"}, {"ref": "sweettacos/notebooka6433c24c9", "kernel_id": "167745"}, {"ref": "slokesh20/notebookdba09458c8", "kernel_id": "185236"}, {"ref": "dwoo070/titanic-survival", "kernel_id": "279816"}, {"ref": "simofn/a-journey-through-titanic-f66877da", "kernel_id": "169947"}, {"ref": "simofn/a-journey-through-titanic", "kernel_id": "167762"}, {"ref": "simofn/a-journey-through-titanic-5b35e5a8", "kernel_id": "167765"}, {"ref": "hansie/an-interactive-data-science-tutorial", "kernel_id": "168630"}, {"ref": "hansie/an-interactive-data-science-tutorial-b49a8459", "kernel_id": "169288"}, {"ref": "hansie/an-interactive-data-science-tutorial-23c6f6b2", "kernel_id": "169268"}, {"ref": "xinems/a-ml-journey", "kernel_id": "276634"}, {"ref": "arpit038/notebook3e32fbcaa2", "kernel_id": "262582"}, {"ref": "rott82/test1", "kernel_id": "167897"}, {"ref": "rott82/notebookd64efbc908", "kernel_id": "167899"}, {"ref": "kkaramvir/titanic-problem", "kernel_id": "167874"}, {"ref": "sabridemirel/notebook3f6db3a666", "kernel_id": "167879"}, {"ref": "sabridemirel/titan", "kernel_id": "167880"}, {"ref": "terje72/an-interactive-data-science-tutorial", "kernel_id": "169304"}, {"ref": "terje72/an-interactive-data-science-tutorial-b0e4b04c", "kernel_id": "169935"}, {"ref": "lindavid/a-journey-through-titanic", "kernel_id": "173296"}, {"ref": "peidaqi/titanic-daqi", "kernel_id": "180769"}, {"ref": "peidaqi/titianic-test", "kernel_id": "171269"}, {"ref": "vivekawasthiml/notebook941b65a2df", "kernel_id": "240812"}, {"ref": "umarlevi/whatever", "kernel_id": "168102"}, {"ref": "raghav2180/titanic-problem", "kernel_id": "189473"}, {"ref": "emxdem/a-journey-through-titanic", "kernel_id": "168050"}, {"ref": "rabben/an-interactive-data-science-tutorial", "kernel_id": "168632"}, {"ref": "rabben/an-interactive-data-science-tutorial-2725c0f3", "kernel_id": "168686"}, {"ref": "vokirill/notebook4ad1b44258", "kernel_id": "273421"}, {"ref": "aledahl/an-interactive-data-science-tutorial-81912c5d", "kernel_id": "169305"}, {"ref": "aledahl/an-interactive-data-science-tutorial", "kernel_id": "169302"}, {"ref": "aledahl/an-interactive-data-science-tutorial-a64c6656", "kernel_id": "169571"}, {"ref": "caminishi/an-interactive-data-science-tutorial", "kernel_id": "168066"}, {"ref": "shraddheya/a-journey-through-titanic-8e61b7", "kernel_id": "184299"}, {"ref": "shraddheya/a-journey-through-titanic", "kernel_id": "184289"}, {"ref": "vinayakvivek/titanic-py", "kernel_id": "168084"}, {"ref": "iraqai/solving-tatinc-with-5-diminsoinal-k-nn-predcation", "kernel_id": "210769"}, {"ref": "jerryverghesec/a-journey-through-titanic", "kernel_id": "168196"}, {"ref": "bqcodefarming/xgboost-example-python", "kernel_id": "175121"}, {"ref": "rooshbald/titanic-exploration-and-logistic-regression", "kernel_id": "209359"}, {"ref": "geunyounggil/notebook8baa7d9278", "kernel_id": "179361"}, {"ref": "ishida66/notebookfc125d2b57", "kernel_id": "215055"}, {"ref": "ishida66/python-training-model", "kernel_id": "215057"}, {"ref": "ishida66/introduction-to-ensembling-stacking-in-python", "kernel_id": "195785"}, {"ref": "ishida66/titanic-random-forest-82-78", "kernel_id": "196595"}, {"ref": "gawain/notebook798547bb56", "kernel_id": "237878"}, {"ref": "gawain/notebook54edb68f14", "kernel_id": "237887"}, {"ref": "gawain/notebookf663c55fe6", "kernel_id": "237890"}, {"ref": "cameronhoh/a-journey-through-titanic", "kernel_id": "176521"}, {"ref": "dwirezra/percobaan1", "kernel_id": "168288"}, {"ref": "hcaiaa/my-first-rf", "kernel_id": "171346"}, {"ref": "hcaiaa/randomforest-feature-eng-imputation-titanic", "kernel_id": "171340"}, {"ref": "hcaiaa/my-random-forest", "kernel_id": "171343"}, {"ref": "atlasmodeled/notebookeaefc0c638", "kernel_id": "169106"}, {"ref": "atlasmodeled/xgboost-titanic", "kernel_id": "169102"}, {"ref": "akash29/notebook7457e160e0", "kernel_id": "245200"}, {"ref": "iambedant/randomforest-feature-eng-imputation-titanic", "kernel_id": "168380"}, {"ref": "iambedant/notebooke59cb66a3f", "kernel_id": "243974"}, {"ref": "lu007heng/sdfsdfsdfdsf", "kernel_id": "218272"}, {"ref": "makarevich/missing-values-that-you-can-t-miss-in-titanic", "kernel_id": "168402"}, {"ref": "tian43/titanic-data-science-solutions", "kernel_id": "264130"}, {"ref": "tian43/titanic-1st", "kernel_id": "318385"}, {"ref": "chichidaxia/a-journey-through-titanic", "kernel_id": "174876"}, {"ref": "sessa7/an-interactive-data-science-tutorial", "kernel_id": "169292"}, {"ref": "vgsala/a-journey-through-titanic", "kernel_id": "178015"}, {"ref": "jorisvdstraten/notebook4d162c0107", "kernel_id": "168493"}, {"ref": "dishongoro/a-journey-through-titanic", "kernel_id": "173649"}, {"ref": "zardabab/notebook6b08c090a0", "kernel_id": "208135"}, {"ref": "zardabab/titainc", "kernel_id": "208133"}, {"ref": "zardabab/titanic", "kernel_id": "209093"}, {"ref": "lordcenzin/titanic-learning", "kernel_id": "199193"}, {"ref": "trekkerthemaker/notebook6930ec3de2", "kernel_id": "264049"}, {"ref": "asdftoger/titanic-random-forest-82-78-e77b4803", "kernel_id": "182373"}, {"ref": "asdftoger/a-journey-through-titanic", "kernel_id": "178812"}, {"ref": "asdftoger/titanic-random-forest-82-78", "kernel_id": "180737"}, {"ref": "asdftoger/titanic-survival-predictions", "kernel_id": "180672"}, {"ref": "hollister/titanic-random-forest-82-78", "kernel_id": "181045"}, {"ref": "penguincwarrior/a-journey-through-titanic", "kernel_id": "180976"}, {"ref": "riskibusiness/an-interactive-data-science-tutorial", "kernel_id": "170752"}, {"ref": "ci1111/an-interactive-data-science-tutorial", "kernel_id": "169296"}, {"ref": "mrbungl3/an-interactive-data-science-tutorial", "kernel_id": "169293"}, {"ref": "andiamo/an-interactive-data-science-tutorial", "kernel_id": "168620"}, {"ref": "andiamo/an-interactive-data-science-tutorial-ce3ad49d", "kernel_id": "169303"}, {"ref": "andiamo/an-interactive-data-science-tutorial-8d0f4cab", "kernel_id": "169299"}, {"ref": "kajayst/an-interactive-data-science-tutorial", "kernel_id": "168631"}, {"ref": "kajayst/an-interactive-data-science-tutorial-ddec93f0", "kernel_id": "169294"}, {"ref": "ingunn/an-interactive-data-science-tutorial", "kernel_id": "168640"}, {"ref": "ingunn/an-interactive-data-science-tutorial-bb2bcf23", "kernel_id": "169290"}, {"ref": "ingunn/an-interactive-data-science-tutorial-a880ed24", "kernel_id": "169261"}, {"ref": "evenoo/an-interactive-data-science-tutorial", "kernel_id": "169309"}, {"ref": "hzhang14/an-interactive-data-science-tutorial", "kernel_id": "168842"}, {"ref": "takenorio/notebook837e5cbd0f", "kernel_id": "171076"}, {"ref": "takenorio/titanic-of-survival", "kernel_id": "171926"}, {"ref": "takenorio/notebook6936fe25f9", "kernel_id": "171916"}, {"ref": "takenorio/notebook057e8c6110", "kernel_id": "171865"}, {"ref": "takenorio/titanic-data-science-solutions", "kernel_id": "264787"}, {"ref": "colintjs/a-journey-through-titanic-036c850b", "kernel_id": "168712"}, {"ref": "colintjs/a-journey-through-titanic", "kernel_id": "168703"}, {"ref": "colintjs/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "169758"}, {"ref": "theamwat/notebook6ae8393fa9", "kernel_id": "168774"}, {"ref": "theamwat/notebook287c7a4040", "kernel_id": "168775"}, {"ref": "smunjal96/titanic-data-science-solutions", "kernel_id": "208919"}, {"ref": "smunjal96/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "210433"}, {"ref": "smunjal96/notebook28d97526af", "kernel_id": "215768"}, {"ref": "hosseingt/notebook2c42072abf", "kernel_id": "168828"}, {"ref": "har33sh/a-journey-through-titanic", "kernel_id": "168796"}, {"ref": "har33sh/a-journey-through-titanic-b85cd2ee", "kernel_id": "169963"}, {"ref": "t1nspire/an-interactive-data-science-tutorial", "kernel_id": "172118"}, {"ref": "dls229/notebookde2570094b", "kernel_id": "193234"}, {"ref": "jasieniczanin/first-project", "kernel_id": "259049"}, {"ref": "prtk418/titanic", "kernel_id": "169116"}, {"ref": "neerajavoleti/notebooka9fb67dcba", "kernel_id": "184846"}, {"ref": "mengma/a-journey-through-titanic", "kernel_id": "168898"}, {"ref": "julianrubin/notebook6716841f95", "kernel_id": "168901"}, {"ref": "andrewwashington/yet-another-titanic-notebook", "kernel_id": "193728"}, {"ref": "andrewwashington/notebook07e714f81e", "kernel_id": "201310"}, {"ref": "sahilrggupta/titanic-dataset-competition", "kernel_id": "175795"}, {"ref": "sahilrggupta/fork-of-a-journey-through-titanic", "kernel_id": "176139"}, {"ref": "dcdanko/a-journey-through-titanic", "kernel_id": "168948"}, {"ref": "elnazmr/train1", "kernel_id": "215754"}, {"ref": "elnazmr/notebook2790eb98ea", "kernel_id": "215814"}, {"ref": "elnazmr/titanic01", "kernel_id": "215802"}, {"ref": "elnazmr/titanic001", "kernel_id": "215807"}, {"ref": "elnazmr/run-the-input", "kernel_id": "215810"}, {"ref": "elnazmr/notebook8a092ae737", "kernel_id": "215812"}, {"ref": "elnazmr/titanic", "kernel_id": "215848"}, {"ref": "elnazmr/gendersub", "kernel_id": "215851"}, {"ref": "elnazmr/test09", "kernel_id": "215841"}, {"ref": "elnazmr/notebookd5acf0b18d", "kernel_id": "215969"}, {"ref": "elnazmr/notebook0f2cda49d2", "kernel_id": "204797"}, {"ref": "elnazmr/test1", "kernel_id": "204793"}, {"ref": "shilifenfei/yifan-learning-code", "kernel_id": "169009"}, {"ref": "zhiliu/notebook16759e54cb", "kernel_id": "185766"}, {"ref": "zhiliu/notebookc8a7020f90", "kernel_id": "185767"}, {"ref": "nytodd/an-interactive-data-science-tutorial", "kernel_id": "169308"}, {"ref": "jonnypuma/an-interactive-data-science-tutorial", "kernel_id": "169310"}, {"ref": "arshzahed/notebookf7d2578732", "kernel_id": "171540"}, {"ref": "rahulrajias/tutorial", "kernel_id": "169259"}, {"ref": "rahulrajias/an-interactive-data-science-tutorial", "kernel_id": "169245"}, {"ref": "cj9208/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "173898"}, {"ref": "cj9208/an-interactive-data-science-tutorial", "kernel_id": "173866"}, {"ref": "mortenhaavi/an-interactive-data-science-tutorial", "kernel_id": "169298"}, {"ref": "havardkvamme/an-interactive-data-science-tutorial", "kernel_id": "169301"}, {"ref": "mjuell/an-interactive-data-science-tutorial", "kernel_id": "169291"}, {"ref": "ornulfth/an-interactive-data-science-tutorial", "kernel_id": "169307"}, {"ref": "arunesh/titanic-data-science-solutions", "kernel_id": "192008"}, {"ref": "arunesh/titanic-logistic-regression-75", "kernel_id": "192066"}, {"ref": "arunesh/swimming-in-the-titanic-data", "kernel_id": "192034"}, {"ref": "gurofagerhaug/an-interactive-data-science-tutorial", "kernel_id": "169311"}, {"ref": "gurofagerhaug/an-interactive-data-science-tutorial-040f7031", "kernel_id": "169342"}, {"ref": "gurofagerhaug/fork-of-an-interactive-data-science-tutorial", "kernel_id": "169340"}, {"ref": "rahulravi26/titanic-data-science-solutions", "kernel_id": "171689"}, {"ref": "rahulravi26/a-journey-through-titanic-5b67bf7a", "kernel_id": "171235"}, {"ref": "rahulravi26/a-journey-through-titanic", "kernel_id": "171233"}, {"ref": "maniksingh92/basic-xgboost", "kernel_id": "592448"}, {"ref": "arildnys/an-interactive-data-science-tutorial", "kernel_id": "169306"}, {"ref": "harholck/an-interactive-data-science-tutorial", "kernel_id": "169316"}, {"ref": "slayerjain/an-interactive-data-science-tutorial", "kernel_id": "169318"}, {"ref": "lambda64/an-interactive-data-science-tutorial", "kernel_id": "169336"}, {"ref": "sagarcenation/notebookdbed7c5986", "kernel_id": "172841"}, {"ref": "sagarcenation/notebook5b60c68e44", "kernel_id": "207787"}, {"ref": "krenholm/playing-with-ships", "kernel_id": "169561"}, {"ref": "raminoo/notebook636f6beab8", "kernel_id": "180610"}, {"ref": "tachieme/script", "kernel_id": "169636"}, {"ref": "zliu66/a-journey-through-titanic", "kernel_id": "169769"}, {"ref": "pantelisvlachas/exploring-survival-on-the-titanic", "kernel_id": "169673"}, {"ref": "pantelisvlachas/experimenting-hoho", "kernel_id": "174521"}, {"ref": "mguzmann/notebook7877d158fe", "kernel_id": "186415"}, {"ref": "janepratt/random-forest-benchmark-r", "kernel_id": "169714"}, {"ref": "odujokod/a-journey-through-titanic", "kernel_id": "175638"}, {"ref": "odujokod/learning-ml", "kernel_id": "175641"}, {"ref": "odujokod/a-journey-through-titanic-4693d418", "kernel_id": "175659"}, {"ref": "odujokod/exploring-survival-on-the-titanic", "kernel_id": "175649"}, {"ref": "jappleyard/titanic-data-science-kaggle", "kernel_id": "223261"}, {"ref": "ignited/a-journey-through-titanic", "kernel_id": "171205"}, {"ref": "ignited/first-titanic-submission-with-svm", "kernel_id": "171170"}, {"ref": "ignited/fork-of-a-journey-through-titanic-5efc63f7", "kernel_id": "173585"}, {"ref": "yotisx/a-journey-through-titanic-7ac1ea", "kernel_id": "188981"}, {"ref": "yotisx/a-journey-through-titanic", "kernel_id": "188966"}, {"ref": "bowyerk/an-interactive-data-science-tutorial", "kernel_id": "173856"}, {"ref": "bowyerk/an-interactive-data-science-tutorial-c0e6c730", "kernel_id": "178390"}, {"ref": "bowyerk/a-journey-through-titanic", "kernel_id": "171073"}, {"ref": "bowyerk/a-journey-through-titanic-8fb5e443", "kernel_id": "173110"}, {"ref": "bowyerk/titanic-random-forest-82-78", "kernel_id": "186668"}, {"ref": "darshpatel27/notebook9ab09c0063", "kernel_id": "169896"}, {"ref": "deratomkeks/notebookaa5be12fed", "kernel_id": "226726"}, {"ref": "akustikov/notebook8530bb7a95", "kernel_id": "214472"}, {"ref": "mikearango/predicting-survival-on-the-titanic", "kernel_id": "217719"}, {"ref": "mikearango/titanic-data-science-solutions", "kernel_id": "217070"}, {"ref": "kmunson/a-journey-through-titanic", "kernel_id": "170011"}, {"ref": "kmunson/titanic-take-1", "kernel_id": "175244"}, {"ref": "msquarme/notebook72c30f13b6", "kernel_id": "173412"}, {"ref": "liuliuliudashuai/titanic-solution", "kernel_id": "439533"}, {"ref": "sophieshw/a-journey-through-titanic", "kernel_id": "170103"}, {"ref": "pcpaula/notebookdbbfe7bb5e", "kernel_id": "179166"}, {"ref": "pcpaula/notebook23ed7f67e8", "kernel_id": "179160"}, {"ref": "maximl/a-journey-through-titanic", "kernel_id": "170134"}, {"ref": "fc20rice/an-interactive-data-science-tutorial", "kernel_id": "171352"}, {"ref": "inneet/a-journey-through-titanic", "kernel_id": "170204"}, {"ref": "alicafer/mypythontrial4titanic", "kernel_id": "179459"}, {"ref": "snehathaz/a-journey-through-titanic", "kernel_id": "170224"}, {"ref": "sharthee/a-journey-through-titanic", "kernel_id": "170243"}, {"ref": "syedraihan/titanic-data-science-solutions", "kernel_id": "240249"}, {"ref": "ronpatrick/testscript", "kernel_id": "170988"}, {"ref": "evanhsu/title-feature", "kernel_id": "175672"}, {"ref": "contactprad/titanic-insights", "kernel_id": "300198"}, {"ref": "nkenta/notebook0ebd893c0e", "kernel_id": "246179"}, {"ref": "andrewpbell/a-journey-through-titanic", "kernel_id": "170758"}, {"ref": "prashant10/notebooke8b51cc57b", "kernel_id": "209146"}, {"ref": "johnzip/titanic-data-science-solutions", "kernel_id": "215780"}, {"ref": "samm13/notebook088fa3f2b1", "kernel_id": "238115"}, {"ref": "shariqfarooq/ml-on-titanic", "kernel_id": "224011"}, {"ref": "shariqfarooq/notebook129808fca9", "kernel_id": "223603"}, {"ref": "vasuls/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "327319"}, {"ref": "f3n1xx/notebook42a2f3b312", "kernel_id": "170545"}, {"ref": "ftwagner/titanic-kernel", "kernel_id": "170580"}, {"ref": "ftwagner/notebooka341096dc2", "kernel_id": "175927"}, {"ref": "xietaitong/fork-of-notebook9b689285a2", "kernel_id": "182765"}, {"ref": "dgris11/notebook4f78eb5f14", "kernel_id": "170820"}, {"ref": "ssuresh15/an-interactive-data-science-tutorial", "kernel_id": "171057"}, {"ref": "ssuresh15/titanic1", "kernel_id": "182607"}, {"ref": "piyushjain/a-journey-through-titanic", "kernel_id": "182814"}, {"ref": "leiwei/how-should-you-bin-your-dataset", "kernel_id": "255706"}, {"ref": "leonbobster/titanic", "kernel_id": "216052"}, {"ref": "lucasatv/a-journey-through-titanic", "kernel_id": "170762"}, {"ref": "kaglcye/an-interactive-data-science-tutorial", "kernel_id": "170866"}, {"ref": "luanton/notebookcb23fa1bd3", "kernel_id": "170829"}, {"ref": "vahidnasrabad/titanic-data-science-solutions", "kernel_id": "201939"}, {"ref": "huangweiran007/notebook7702f1bccb", "kernel_id": "170902"}, {"ref": "huangweiran007/death-titanic", "kernel_id": "170903"}, {"ref": "json66/titanic-tensorflow", "kernel_id": "266677"}, {"ref": "json66/titanic-scikit-learn", "kernel_id": "265935"}, {"ref": "tate1010/titanic", "kernel_id": "277407"}, {"ref": "wingchun007/an-interactive-data-science-tutorial-6504b4", "kernel_id": "189462"}, {"ref": "wingchun007/titanic-mechanic-machine-learning", "kernel_id": "174727"}, {"ref": "wingchun007/an-interactive-data-science-tutorial", "kernel_id": "171491"}, {"ref": "pavel0793/a-journey-through-titanic", "kernel_id": "170968"}, {"ref": "alagappan/a-journey-through-titanic", "kernel_id": "180651"}, {"ref": "kmostafa89/notebook0a5acf4372", "kernel_id": "343050"}, {"ref": "diabhiue/notebook548837d826", "kernel_id": "171082"}, {"ref": "rw3374/test1", "kernel_id": "219072"}, {"ref": "abhilashanil/titanic-solution-scikit-learn", "kernel_id": "261702"}, {"ref": "vignesh7/titanic-random-forest-82-78", "kernel_id": "182635"}, {"ref": "vikrant523/notebooka90a1f9432", "kernel_id": "203743"}, {"ref": "vikrant523/notebookba6ce68b75", "kernel_id": "203744"}, {"ref": "vikrant523/learningtitanic-523", "kernel_id": "203745"}, {"ref": "vikrant523/notebook0b5a21c1c6", "kernel_id": "229007"}, {"ref": "sidwise/a-journey-through-titanic", "kernel_id": "188262"}, {"ref": "sidwise/titanic-using-random-forest", "kernel_id": "231002"}, {"ref": "mrelegante/a-journey-through-titanic", "kernel_id": "171435"}, {"ref": "animatorumor/titanic-data-science-solutions", "kernel_id": "171725"}, {"ref": "notobig/titanic-data-science-solutions", "kernel_id": "173715"}, {"ref": "jlooney/titanic-data-science-solutions", "kernel_id": "187617"}, {"ref": "jeosol/notebook0542a853b7", "kernel_id": "204075"}, {"ref": "asfreeman/an-interactive-data-science-tutorial", "kernel_id": "171556"}, {"ref": "diapause/a-journey-through-titanic", "kernel_id": "171578"}, {"ref": "diapause/fork-of-a-journey-through-titanic", "kernel_id": "171663"}, {"ref": "cinojose/notebook0334232d27", "kernel_id": "172527"}, {"ref": "cinojose/notebook847288862f", "kernel_id": "178153"}, {"ref": "cinojose/titanic-random-forest-82-78", "kernel_id": "178694"}, {"ref": "abhijitgp/a-journey-through-titanic", "kernel_id": "175532"}, {"ref": "diwakarm/titanic-data-science-solutions", "kernel_id": "186014"}, {"ref": "macwinux/notebookd2936b5f12", "kernel_id": "182791"}, {"ref": "macwinux/titanic-data-science-solutions", "kernel_id": "172580"}, {"ref": "jehronpett/hello", "kernel_id": "187677"}, {"ref": "farnier/a-journey-through-titanic", "kernel_id": "171920"}, {"ref": "jyothig/notebookcff06d650d", "kernel_id": "171755"}, {"ref": "shamik07/sample-svm-model-with-x-validation", "kernel_id": "180072"}, {"ref": "yashcs/an-interactive-data-science-tutorial", "kernel_id": "171727"}, {"ref": "verkinda/an-interactive-data-science-tutorial", "kernel_id": "174071"}, {"ref": "amithmkini/titanic-basic", "kernel_id": "233092"}, {"ref": "saad1995/notebook25f8a01ec3", "kernel_id": "171827"}, {"ref": "mburet/exploring-survival-on-the-titanic", "kernel_id": "172522"}, {"ref": "petwill/a-journey-through-titanic", "kernel_id": "176446"}, {"ref": "petwill/a-journey-through-titanic-28d9ba", "kernel_id": "186124"}, {"ref": "ankitbhaukajee/titanic-data-science-solutions", "kernel_id": "186677"}, {"ref": "satrioadityo/titanic-data-science-solutions", "kernel_id": "171899"}, {"ref": "taoxu2016/a-journey-through-titanic", "kernel_id": "171901"}, {"ref": "taoxu2016/an-interactive-data-science-tutorial", "kernel_id": "179630"}, {"ref": "anvesh192/notebook4312e6fd01", "kernel_id": "213820"}, {"ref": "anvesh192/notebookda96f59a1a", "kernel_id": "213048"}, {"ref": "meiguiyu/notebookbbb2f54e98", "kernel_id": "172218"}, {"ref": "meiguiyu/notebook23cfb23f29", "kernel_id": "172222"}, {"ref": "sabyasachimishra/notebook82bac477e2", "kernel_id": "173220"}, {"ref": "sabyasachimishra/notebookde88143c87", "kernel_id": "171940"}, {"ref": "sjbdata/notebook08199e2221", "kernel_id": "204633"}, {"ref": "echleb/notebookee6b172ec4", "kernel_id": "244170"}, {"ref": "echleb/titanic", "kernel_id": "244175"}, {"ref": "echleb/titanic-ec", "kernel_id": "244873"}, {"ref": "shubhsharma10/notebook3f3674b948", "kernel_id": "266093"}, {"ref": "jayb256/an-interactive-data-science-tutorial", "kernel_id": "172105"}, {"ref": "rodguinea/notebooke43f55a0e9", "kernel_id": "176107"}, {"ref": "mackenzielarson/an-interactive-data-science-tutorial", "kernel_id": "173780"}, {"ref": "mengkehu/titanic", "kernel_id": "174231"}, {"ref": "chunhowt/a-journey-through-titanic", "kernel_id": "173047"}, {"ref": "chunhowt/notebook71785fc491", "kernel_id": "173057"}, {"ref": "chunhowt/a-journey-through-titanic-fd41284a", "kernel_id": "174675"}, {"ref": "intelrunner/titanic-get-out-now", "kernel_id": "348524"}, {"ref": "user849017/temp-4", "kernel_id": "174229"}, {"ref": "user849017/titanic-disaster-survival-prediction", "kernel_id": "415755"}, {"ref": "philipxue/a-journey-through-titanic", "kernel_id": "189622"}, {"ref": "philipxue/notebook36ec5de6d8", "kernel_id": "191506"}, {"ref": "philipxue/notebookce4d690af3", "kernel_id": "195904"}, {"ref": "philipxue/multiple-method-to-test-tatanic", "kernel_id": "195905"}, {"ref": "alienbob/titanic-survival", "kernel_id": "210912"}, {"ref": "vissyru/notebookb36baf51ba", "kernel_id": "231556"}, {"ref": "vissyru/notebookab09977090", "kernel_id": "244230"}, {"ref": "vissyru/notebookbdad01ec73", "kernel_id": "244231"}, {"ref": "bl00djack/notebookcba922453d", "kernel_id": "177621"}, {"ref": "purusartha/an-interactive-data-science-tutorial", "kernel_id": "172424"}, {"ref": "purusartha/an-interactive-data-science-tutorial-68fa20c2", "kernel_id": "172425"}, {"ref": "purusartha/a-journey-through-titanic", "kernel_id": "172397"}, {"ref": "manyam0106/notebook9fe32702a2", "kernel_id": "189653"}, {"ref": "manyam0106/titanic", "kernel_id": "189656"}, {"ref": "manyam0106/titan", "kernel_id": "189660"}, {"ref": "manyam0106/fork-of-titanic", "kernel_id": "193034"}, {"ref": "manyam0106/fork-of-titanic-008f5c", "kernel_id": "193116"}, {"ref": "chrisckwong821/notebook4d3cfd15af", "kernel_id": "347328"}, {"ref": "redace85/build-nn-with-tensorflow", "kernel_id": "229359"}, {"ref": "redace85/test-sub", "kernel_id": "229461"}, {"ref": "palash11/an-interactive-data-science-tutorial", "kernel_id": "174143"}, {"ref": "anshubhuwania/notebook00c3b24b82", "kernel_id": "177228"}, {"ref": "maheshrajmainali/my-first-notebook", "kernel_id": "172435"}, {"ref": "maheshrajmainali/notebook3f0b2dd570", "kernel_id": "172438"}, {"ref": "bromine/something-begins-to-emerge-titanic", "kernel_id": "196315"}, {"ref": "lhy1989/learning-kaggle-using-rf", "kernel_id": "177009"}, {"ref": "lhy1989/an-interactive-data-science-tutorial-for-learning", "kernel_id": "177261"}, {"ref": "pascal059/notebookc603053b81", "kernel_id": "172673"}, {"ref": "taesiri/notebookaa11ae2c15", "kernel_id": "187796"}, {"ref": "amansingh13vit/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "172650"}, {"ref": "theerath/titanic", "kernel_id": "220361"}, {"ref": "pm2017/notebook21a8f7c2ef", "kernel_id": "172663"}, {"ref": "artsyanka/kernel1-titanic-r", "kernel_id": "378031"}, {"ref": "yukidaruma/notebook6653f7ee42", "kernel_id": "174318"}, {"ref": "yukidaruma/notebooka925d0cb2b", "kernel_id": "207556"}, {"ref": "yukidaruma/notebook6db6ae73e0", "kernel_id": "207561"}, {"ref": "yukidaruma/notebook01832cd38f", "kernel_id": "207562"}, {"ref": "eraeva/a-journey-through-titanic-78bf5eb2", "kernel_id": "172825"}, {"ref": "viakondratiuk/notebook836eab958b", "kernel_id": "201100"}, {"ref": "viakondratiuk/linear-regression", "kernel_id": "201103"}, {"ref": "rajaraju/notebook786dd45a36", "kernel_id": "204305"}, {"ref": "koneand/notebook12d82359d5", "kernel_id": "186531"}, {"ref": "bonesaw98616/exploring-survival-on-the-titanic", "kernel_id": "243402"}, {"ref": "arka161/notebook55615df6cc", "kernel_id": "223874"}, {"ref": "arka161/notebook7687ef144d", "kernel_id": "223868"}, {"ref": "deepanshugarg/an-interactive-data-science-tutorial", "kernel_id": "172913"}, {"ref": "egalambda/notebookb2fdbd9a43", "kernel_id": "244196"}, {"ref": "seajaye/titanic-logistic-regression-0-78947", "kernel_id": "187422"}, {"ref": "tang0604/notebook5c5223d5c1", "kernel_id": "175573"}, {"ref": "tang0604/titanic-random-forest-82-78", "kernel_id": "176234"}, {"ref": "trojanhorse/notebookbe20a3d7bd", "kernel_id": "175750"}, {"ref": "omarbarakat1995/notebooka251925a01", "kernel_id": "173098"}, {"ref": "yhl2016/test-1", "kernel_id": "173165"}, {"ref": "sasmitamohanty/notebookb8359dfcf0", "kernel_id": "227878"}, {"ref": "haidongfu/exploring-survival-on-the-titanic", "kernel_id": "173176"}, {"ref": "ivastar/notebook58c692f134", "kernel_id": "173213"}, {"ref": "bainos/a-journey-through-titanic", "kernel_id": "174577"}, {"ref": "bainos/a-journey-through-titanic-0531f3", "kernel_id": "196791"}, {"ref": "bainos/a-journey-through-titanic-f1bf85", "kernel_id": "186652"}, {"ref": "bainos/a-journey-through-titanic-552745", "kernel_id": "186655"}, {"ref": "ciortanmadalina/a-journey-through-titanic", "kernel_id": "178490"}, {"ref": "ciortanmadalina/an-interactive-data-science-tutorial", "kernel_id": "182004"}, {"ref": "ciortanmadalina/notebookaf79a56613", "kernel_id": "189120"}, {"ref": "fabiaforever/fork-of-notebook7a497ba1f4", "kernel_id": "291072"}, {"ref": "fabiaforever/titanic-data-using-logistic-regression", "kernel_id": "296054"}, {"ref": "fabiaforever/py-stacking-and-ensembling", "kernel_id": "288585"}, {"ref": "darianovakova/notebookefcd44c263", "kernel_id": "196314"}, {"ref": "marvin01/a-journey-through-titanic-0fb209e5", "kernel_id": "178955"}, {"ref": "marvin01/a-journey-through-titanic-12f1425a", "kernel_id": "177328"}, {"ref": "emelinef03/a-journey-through-titanic", "kernel_id": "179097"}, {"ref": "amykoh/a-journey-through-titanic", "kernel_id": "189733"}, {"ref": "amykoh/a-journey-through-titanic-da076e", "kernel_id": "189863"}, {"ref": "amykoh/notebook2c28383911", "kernel_id": "173348"}, {"ref": "dkadjo/notebook8e9ec7296d", "kernel_id": "173354"}, {"ref": "sunfeiatx/an-interactive-data-science-tutorial", "kernel_id": "173415"}, {"ref": "enoonita/a-journey-through-titanic", "kernel_id": "173419"}, {"ref": "marclucchini/fork-of-keras-nn", "kernel_id": "191184"}, {"ref": "marclucchini/keras-nn", "kernel_id": "190819"}, {"ref": "marclucchini/an-interactive-data-science-tutorial", "kernel_id": "191804"}, {"ref": "fox10225fox/titanic-with-keras-batchnorm-dropout", "kernel_id": "249855"}, {"ref": "fox10225fox/titanic-with-keras", "kernel_id": "249522"}, {"ref": "fox10225fox/titanic-with-logistic-regression", "kernel_id": "338899"}, {"ref": "dodoman/notebook05880c233f", "kernel_id": "175523"}, {"ref": "ssaran/titanic-disaster", "kernel_id": "260693"}, {"ref": "jcamsan/notebook0e2c095034", "kernel_id": "248462"}, {"ref": "ebunto/test1", "kernel_id": "173577"}, {"ref": "brettaulbaugh/exploring-survival-on-the-titanic", "kernel_id": "173587"}, {"ref": "jakobl/notebookc839ffcbae", "kernel_id": "173595"}, {"ref": "priyaswayam8/notebooke461ab5164", "kernel_id": "175622"}, {"ref": "agarwalshivam/notebook1b85769a50", "kernel_id": "184734"}, {"ref": "agarwalshivam/test-1", "kernel_id": "184751"}, {"ref": "samtha/notebookcc5901ba2b", "kernel_id": "226203"}, {"ref": "pas502/titanic-first-try", "kernel_id": "173728"}, {"ref": "pas502/titanic", "kernel_id": "173692"}, {"ref": "ayush860/a-journey-through-titanic", "kernel_id": "173702"}, {"ref": "beni9512/notebook35411bc7d9", "kernel_id": "173772"}, {"ref": "tanyavas/notebook7b48a8ffa9", "kernel_id": "175338"}, {"ref": "vangelisb/exploring-survival-on-the-titanic", "kernel_id": "176012"}, {"ref": "riverkim/notebook795cb6626e", "kernel_id": "173835"}, {"ref": "brusci/exploring-survival-on-the-titanic", "kernel_id": "173869"}, {"ref": "bikuta/notebookc0a5316717", "kernel_id": "176957"}, {"ref": "bikuta/a-journey-through-titanic", "kernel_id": "176958"}, {"ref": "xuexsss/a-journey-through-titanic", "kernel_id": "173889"}, {"ref": "mrnoone/notebook10e3a4230f", "kernel_id": "173975"}, {"ref": "mrnoone/exploring-survival-on-the-titanic", "kernel_id": "173987"}, {"ref": "mrnoone/notebookafd3147ec6", "kernel_id": "173988"}, {"ref": "bryan1201/notebook70a3e08794", "kernel_id": "180803"}, {"ref": "bryan1201/exploring-survival-on-the-titanic-by-bryan1201", "kernel_id": "180805"}, {"ref": "bryan1201/notebooka86c5f5087", "kernel_id": "174018"}, {"ref": "bryan1201/exploring-survival-on-the-titanic", "kernel_id": "174041"}, {"ref": "radioactive47/titanic-dataset", "kernel_id": "269875"}, {"ref": "yigu8115/notebook683e43a699", "kernel_id": "174057"}, {"ref": "yigu8115/try-r-tutorial", "kernel_id": "174058"}, {"ref": "icbcbicc/notebook4ee815b26f", "kernel_id": "175739"}, {"ref": "clapeyre/an-interactive-data-science-tutorial", "kernel_id": "174045"}, {"ref": "akramsayadi/notebookbb26316dfc", "kernel_id": "179080"}, {"ref": "akramsayadi/notebookdc679e4cc7", "kernel_id": "178833"}, {"ref": "akramsayadi/notebook4a76b030d1", "kernel_id": "178899"}, {"ref": "akramsayadi/exploring-survival-on-the-titanicc", "kernel_id": "174109"}, {"ref": "akramsayadi/exploring-survival-on-the-titanic", "kernel_id": "174106"}, {"ref": "akramsayadi/notebook0ebdcba4c0", "kernel_id": "174172"}, {"ref": "akramsayadi/notebooka13221f7c3", "kernel_id": "178056"}, {"ref": "akramsayadi/notebook9ec1232969", "kernel_id": "178145"}, {"ref": "ankoundia/notebook50ab840f98", "kernel_id": "177262"}, {"ref": "eyaladgham/notebookc2ab7d3539", "kernel_id": "174938"}, {"ref": "eyaladgham/notebook185bcf7042", "kernel_id": "174204"}, {"ref": "eyaladgham/notebook4744632438", "kernel_id": "174230"}, {"ref": "eyaladgham/notebook8de72c70d4", "kernel_id": "174291"}, {"ref": "hrishabh1/xgboost-example-python", "kernel_id": "174144"}, {"ref": "wysthinker/introduction-to-ensembling-stacking-in-python", "kernel_id": "185793"}, {"ref": "benrejeb/notebook739720ef4c", "kernel_id": "188738"}, {"ref": "bahadirp/titanic", "kernel_id": "252439"}, {"ref": "knadesh/titanic-data-science-solutions", "kernel_id": "194077"}, {"ref": "tlinnet/fork-of-notebooke123a5018f", "kernel_id": "176734"}, {"ref": "tlinnet/fork-of-testing-the-titanic-problem-first-kaggle", "kernel_id": "176773"}, {"ref": "tlinnet/testing-the-titanic-problem-first-kaggle", "kernel_id": "176609"}, {"ref": "gokulsadanandam/notebook7d58e81d23", "kernel_id": "174199"}, {"ref": "ajayrk07/a-journey-through-titanic", "kernel_id": "191986"}, {"ref": "ayush1808/notebook7c82013071", "kernel_id": "212405"}, {"ref": "ayush1808/notebook2270caefab", "kernel_id": "212406"}, {"ref": "szunyog/titanic-test", "kernel_id": "174349"}, {"ref": "yashg5/an-interactive-data-science-tutorial", "kernel_id": "174334"}, {"ref": "patsplat/my-first-kaggle-script", "kernel_id": "204493"}, {"ref": "andreil00/notebook4b18587b67", "kernel_id": "174985"}, {"ref": "andreil00/fork-of-notebook06dd889675", "kernel_id": "180964"}, {"ref": "andreil00/notebook06dd889675", "kernel_id": "180950"}, {"ref": "anushah1411/titanic-dataset-visualizations", "kernel_id": "175158"}, {"ref": "rishavs/swimming-in-the-titanic-data", "kernel_id": "185214"}, {"ref": "rishavs/titanic-data-using-svm-estimator", "kernel_id": "185906"}, {"ref": "emilychenyh/titanic-working", "kernel_id": "233528"}, {"ref": "emilychenyh/titanic-intro-competition", "kernel_id": "233522"}, {"ref": "nitinmukhija/notebookc666304cb3", "kernel_id": "207906"}, {"ref": "nitinmukhija/notebook8151f3062a", "kernel_id": "207945"}, {"ref": "nitinmukhija/predict-titanic-survivor", "kernel_id": "180060"}, {"ref": "manishjangid/a-journey-through-titanic-cc13d5ef", "kernel_id": "176946"}, {"ref": "manishjangid/a-journey-through-titanic-e65c7a0f", "kernel_id": "176868"}, {"ref": "manishjangid/a-journey-through-titanic-3dff26b9", "kernel_id": "176843"}, {"ref": "manishjangid/a-journey-through-titanic", "kernel_id": "176787"}, {"ref": "manishjangid/a-journey-through-titanic-d271601f", "kernel_id": "178510"}, {"ref": "manishjangid/a-journey-through-titanic-767ea91c", "kernel_id": "178500"}, {"ref": "manishjangid/a-journey-through-titanic-d6368691", "kernel_id": "177425"}, {"ref": "manishjangid/a-journey-through-titanic-4ce64f11", "kernel_id": "177487"}, {"ref": "koalascheesecake/titanic-first-learning-project", "kernel_id": "202341"}, {"ref": "watchtheblur/notebook0a35958284", "kernel_id": "242535"}, {"ref": "petarpoznic/titanic-1-0", "kernel_id": "244047"}, {"ref": "mattwright/a-journey-through-titanic", "kernel_id": "178654"}, {"ref": "jordankrey/notebook2561b1cd2f", "kernel_id": "204733"}, {"ref": "paulocressoni/notebook36a53fb139", "kernel_id": "205656"}, {"ref": "paulocressoni/titanic-using-stepwise-linear-regression", "kernel_id": "207786"}, {"ref": "maniarpa/a-journey-through-titanic", "kernel_id": "176708"}, {"ref": "vb2489/notebooka3b0fdbffb", "kernel_id": "174624"}, {"ref": "vb2489/notebook677a402c68", "kernel_id": "174569"}, {"ref": "rr1168/exploring-survival-on-the-titanic", "kernel_id": "174637"}, {"ref": "brownsh/a-journey-through-titanic", "kernel_id": "174591"}, {"ref": "leggeph/a-journey-through-titanic", "kernel_id": "174590"}, {"ref": "leggeph/titanic-notebook", "kernel_id": "174578"}, {"ref": "milirob/1st-run", "kernel_id": "174585"}, {"ref": "milirob/a-journey-through-titanic", "kernel_id": "174604"}, {"ref": "finpro/notebook453434b627", "kernel_id": "174605"}, {"ref": "finpro/a-journey-through-titanic", "kernel_id": "174607"}, {"ref": "tonio145/a-journey-through-titanic", "kernel_id": "183164"}, {"ref": "tonio145/an-interactive-data-science-tutorial", "kernel_id": "183658"}, {"ref": "angiezyq/notebook44b094fd91", "kernel_id": "209274"}, {"ref": "yfzone/fork-of-a-journey-through-titanic", "kernel_id": "177688"}, {"ref": "syamuneko327/a-journey-through-titanic", "kernel_id": "174714"}, {"ref": "syamuneko327/an-interactive-data-science-tutorial", "kernel_id": "174717"}, {"ref": "jes2ica/titanic", "kernel_id": "294015"}, {"ref": "suxuannan/notebook0bb603e4d8", "kernel_id": "177492"}, {"ref": "janekm/a-journey-through-titanic", "kernel_id": "174832"}, {"ref": "sabariraju/an-interactive-data-science-tutorial", "kernel_id": "174944"}, {"ref": "jelly08/a-journey-through-titanic", "kernel_id": "174890"}, {"ref": "jiutian/an-interactive-data-science-tutorial", "kernel_id": "175691"}, {"ref": "deuteros/notebook99307ad225", "kernel_id": "175090"}, {"ref": "deuteros/ml-basics-exploring-titanic-disaster-data", "kernel_id": "220962"}, {"ref": "zeroc00l/notebooka50ea731d6", "kernel_id": "174859"}, {"ref": "chricke/a-journey-through-titanic", "kernel_id": "183488"}, {"ref": "hachangho/notebook36bffe5858", "kernel_id": "189836"}, {"ref": "aprindle/notebook381bc62ad2", "kernel_id": "174897"}, {"ref": "aprindle/an-interactive-data-science-tutorial", "kernel_id": "174898"}, {"ref": "aprindle/an-interactive-data-science-tutorial-2007d092", "kernel_id": "175614"}, {"ref": "aprindle/notebooka733b1e166", "kernel_id": "188529"}, {"ref": "aprindle/notebook7eb7407a60", "kernel_id": "188530"}, {"ref": "yejingyou/notebookc98280ea46", "kernel_id": "176961"}, {"ref": "stonezju/an-interactive-data-science-tutorial", "kernel_id": "175139"}, {"ref": "wyouya/titanic-random-forest-82-78", "kernel_id": "176185"}, {"ref": "wyouya/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "176191"}, {"ref": "hfef7ui3/my-titanic", "kernel_id": "175008"}, {"ref": "hfef7ui3/notebook31768c5fbc", "kernel_id": "175027"}, {"ref": "vkozlov/titanic-random-forest-82-78", "kernel_id": "180906"}, {"ref": "llexio/geneticprogramming", "kernel_id": "180325"}, {"ref": "jimchen65/titanic", "kernel_id": "175164"}, {"ref": "dj11295/notebook2483440e78", "kernel_id": "225405"}, {"ref": "shahchirag/scratch-pad", "kernel_id": "175254"}, {"ref": "malooooch/dm2017-hw1", "kernel_id": "186116"}, {"ref": "malooooch/titanic1", "kernel_id": "277603"}, {"ref": "malooooch/titanic2", "kernel_id": "279422"}, {"ref": "flyingmars/titanic-survival-report", "kernel_id": "177250"}, {"ref": "flyingmars/notebookb0ef517a53", "kernel_id": "177252"}, {"ref": "flyingmars/titanic-random-forest-82-78", "kernel_id": "177070"}, {"ref": "yinjia/a-journey-through-titanic", "kernel_id": "175129"}, {"ref": "zhanglid/notebook9909407a53", "kernel_id": "196630"}, {"ref": "rhlbns/titanic-random-forest-82-78", "kernel_id": "177423"}, {"ref": "rhlbns/a-walk-through-titanic", "kernel_id": "177935"}, {"ref": "johnyyan/tensorflow", "kernel_id": "184112"}, {"ref": "timsallay/notebookc9ae27f93f", "kernel_id": "176165"}, {"ref": "mindcoder/titanic", "kernel_id": "209529"}, {"ref": "mlninja89/simple-logistic-regression", "kernel_id": "176094"}, {"ref": "chuanhuiliu/one-solution-to-titanic-survival-analysis", "kernel_id": "220798"}, {"ref": "soundsoul/notebook5ca87b000e", "kernel_id": "175543"}, {"ref": "ratkinson/a-journey-through-titanic", "kernel_id": "184052"}, {"ref": "aurilia/notebooke5bb9cd2ce", "kernel_id": "175557"}, {"ref": "saijunhu/a-journey-through-titanic", "kernel_id": "192442"}, {"ref": "forsure/notebookf0edc003f1", "kernel_id": "206245"}, {"ref": "pjzerochina/an-interactive-data-science-tutorial", "kernel_id": "175650"}, {"ref": "charmingwho/a-journey-through-titanic", "kernel_id": "175709"}, {"ref": "rocksailor1/ensembling-stacking-in-python-titanic", "kernel_id": "202175"}, {"ref": "lswright/an-interactive-data-science-tutorial", "kernel_id": "186050"}, {"ref": "jorgecarleitao/test-stuff", "kernel_id": "175728"}, {"ref": "rgeissen/notebookc3a8f3b69b", "kernel_id": "175755"}, {"ref": "surajbhor/notebook0d20d30380", "kernel_id": "175939"}, {"ref": "ayudhhande/notebook79a9f7bdc4", "kernel_id": "187358"}, {"ref": "ayudhhande/a-journey-through-titanic", "kernel_id": "193265"}, {"ref": "zwjamesd/notebook211ffafc07", "kernel_id": "176341"}, {"ref": "omrisap/titanic-random-forest-82-78", "kernel_id": "188094"}, {"ref": "burnpanck/notebook0367df38a9", "kernel_id": "175863"}, {"ref": "annapola/a-journey-through-titanic", "kernel_id": "180192"}, {"ref": "shefti/notebook1ef9b1d228", "kernel_id": "176443"}, {"ref": "shefti/script-0", "kernel_id": "176435"}, {"ref": "devilmind/testrun", "kernel_id": "221973"}, {"ref": "punderscore/a-journey-through-titanic", "kernel_id": "177253"}, {"ref": "wakemeup/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "181638"}, {"ref": "rochellesilva/simple-tutorial-for-beginners", "kernel_id": "275113"}, {"ref": "lserafin/a-journey-through-titanic", "kernel_id": "175925"}, {"ref": "nemke01/notebook173ec91540", "kernel_id": "177158"}, {"ref": "chandramuramalla/titanic-survival", "kernel_id": "237967"}, {"ref": "sgino209/titanic-data-science-solutions", "kernel_id": "215047"}, {"ref": "jsenoret/notebook6c20f0ea7b", "kernel_id": "176659"}, {"ref": "jsenoret/titanic-data-science-solutions-7aa5cd18", "kernel_id": "176656"}, {"ref": "jsenoret/titanic-data-science-solutions", "kernel_id": "176654"}, {"ref": "taoari/a-journey-through-titanic", "kernel_id": "176098"}, {"ref": "taoari/a-journey-through-titanic-883b3c22", "kernel_id": "176114"}, {"ref": "taoari/notebookd3238ab02c", "kernel_id": "176118"}, {"ref": "taoari/titanic-random-forest-82-78", "kernel_id": "176121"}, {"ref": "jmcg862/notebook232c4326e8", "kernel_id": "176109"}, {"ref": "mnguy127/testing-logistic-regression-more-features", "kernel_id": "178709"}, {"ref": "mnguy127/testing-random-forest", "kernel_id": "179718"}, {"ref": "mnguy127/testing-random-forest-validation", "kernel_id": "182403"}, {"ref": "mnguy127/notebookd985094788", "kernel_id": "176170"}, {"ref": "mnguy127/test-script", "kernel_id": "176171"}, {"ref": "mnguy127/testing-logistic-regression", "kernel_id": "176175"}, {"ref": "mnguy127/test-notebook-1", "kernel_id": "176164"}, {"ref": "ougai123/notebooka44401d212", "kernel_id": "225490"}, {"ref": "bphlmn/bryan-s-take-on-the-titanic-data-set", "kernel_id": "226794"}, {"ref": "bphlmn/simple-logistic-regression", "kernel_id": "461536"}, {"ref": "joshuagorospe/notebookf3a6926f3d", "kernel_id": "183667"}, {"ref": "audrijamukh/titanic-random-forest-82-78", "kernel_id": "176233"}, {"ref": "minkelly/a-journey-through-titanic", "kernel_id": "176276"}, {"ref": "takakk/test1", "kernel_id": "225883"}, {"ref": "nsingh12/notebook7d9d01f872", "kernel_id": "176313"}, {"ref": "qlixxz/an-interactive-data-science-tutorial", "kernel_id": "176312"}, {"ref": "natthakornk/titanic", "kernel_id": "176327"}, {"ref": "natthakornk/titanic-a-novice-journey", "kernel_id": "176330"}, {"ref": "natthakornk/titanic-a-novice-onboard", "kernel_id": "183520"}, {"ref": "natthakornk/notebook2455a46eb6", "kernel_id": "182434"}, {"ref": "brahmeswara/learning-from-titanic-disaster-data", "kernel_id": "181860"}, {"ref": "brahmeswara/learning-from-titanic-disaster", "kernel_id": "195512"}, {"ref": "brahmeswara/titanic-data-science-solutions-first-cut", "kernel_id": "194659"}, {"ref": "varan777/notebook8156f9a49b", "kernel_id": "231442"}, {"ref": "presheaf/a-journey-through-titanic", "kernel_id": "176391"}, {"ref": "mengfanrong/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "177135"}, {"ref": "mengfanrong/notebook8baa7d9278", "kernel_id": "177153"}, {"ref": "mengfanrong/titanic-data-science-solutions", "kernel_id": "177145"}, {"ref": "mengfanrong/an-interactive-data-science-tutorial", "kernel_id": "177147"}, {"ref": "durovo/titanic-trial-notebook", "kernel_id": "241053"}, {"ref": "nmalizia/notebook38369bbb39", "kernel_id": "176459"}, {"ref": "lukej91/notebook51d33e98ae", "kernel_id": "177305"}, {"ref": "palaklanger/notebook3e7c0eaa51", "kernel_id": "213468"}, {"ref": "palaklanger/notebookdabc7fb4ca", "kernel_id": "213471"}, {"ref": "shwetaarora/notebook1369026b0a", "kernel_id": "177315"}, {"ref": "alvysinger/titanic-random-forest-82-78", "kernel_id": "179774"}, {"ref": "alvysinger/a-journey-through-titanic", "kernel_id": "180023"}, {"ref": "neerajpai/tensorflow-1-layer-neural-network", "kernel_id": "798514"}, {"ref": "cseale/notebook76fe78892b", "kernel_id": "234116"}, {"ref": "cseale/first-kaggle-submission", "kernel_id": "234117"}, {"ref": "eunyong0718/notebookb4a2a75ab3", "kernel_id": "215178"}, {"ref": "menatwork/titanic-a-straightforward-kernel", "kernel_id": "251746"}, {"ref": "sdufour/trying-neural-network", "kernel_id": "247693"}, {"ref": "skakkerlak/going-down-together-families-on-the-titanic", "kernel_id": "183859"}, {"ref": "skakkerlak/scattering-ice", "kernel_id": "182759"}, {"ref": "skakkerlak/fork-of-icebreaker", "kernel_id": "181140"}, {"ref": "skakkerlak/icebreaker", "kernel_id": "180206"}, {"ref": "liliad/notebook6b208917ec", "kernel_id": "176742"}, {"ref": "ericray/a-journey-through-titanic", "kernel_id": "176817"}, {"ref": "adielmatuf/titanic-getting-starting", "kernel_id": "183957"}, {"ref": "kathrynrough/notebook56407241f0", "kernel_id": "180476"}, {"ref": "kathrynrough/a-journey-through-titanic", "kernel_id": "180478"}, {"ref": "kathrynrough/titanic-exploration-of-kaggle", "kernel_id": "180483"}, {"ref": "jparajuli/data-exploration-encoding-and-ml-in-titanic", "kernel_id": "177277"}, {"ref": "dlejoren/notebook4eafd08004", "kernel_id": "176841"}, {"ref": "dlejoren/notebook6f857f82b4", "kernel_id": "176844"}, {"ref": "dlejoren/notebookc616618d0a", "kernel_id": "176847"}, {"ref": "skarden/notebook9fc6e6496f", "kernel_id": "177724"}, {"ref": "skarden/an-interactive-data-science-tutorial", "kernel_id": "177732"}, {"ref": "nkrishnan/over-0-8-with-votingclassifier", "kernel_id": "287648"}, {"ref": "nkrishnan/notebook082a61b7c4", "kernel_id": "262496"}, {"ref": "rfdickerson/titanic-disaster", "kernel_id": "253463"}, {"ref": "beiqiwang/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "217832"}, {"ref": "alexandrc/my-first-notebook", "kernel_id": "177212"}, {"ref": "softeng/tutorial", "kernel_id": "177240"}, {"ref": "mszczytowski/notebook5a385e31d1", "kernel_id": "177290"}, {"ref": "elizabeth7/introduction-to-ensembling-stacking-in-python", "kernel_id": "235930"}, {"ref": "anu0012/titanic-survival", "kernel_id": "178892"}, {"ref": "anu0012/survival-analysis-basic-approach", "kernel_id": "459782"}, {"ref": "alexmcs/notebookd50ffb40ff", "kernel_id": "286414"}, {"ref": "alexmcs/notebook4b09f08afe", "kernel_id": "284146"}, {"ref": "alexmcs/alexey-yakunin-titanic", "kernel_id": "284352"}, {"ref": "kkanai/notebook2d2b7983fa", "kernel_id": "246096"}, {"ref": "mhjiang/notebookd024fd3a1e", "kernel_id": "177279"}, {"ref": "namratha123/notebook3dd7259a29", "kernel_id": "177291"}, {"ref": "namratha123/notebookafa2bea5aa", "kernel_id": "177292"}, {"ref": "namratha123/notebookdb2de862fc", "kernel_id": "177297"}, {"ref": "namratha123/notebook545e62a065", "kernel_id": "177289"}, {"ref": "namratha123/notebookae503ea174", "kernel_id": "177756"}, {"ref": "namratha123/beginner-experimentation", "kernel_id": "194758"}, {"ref": "fulinzhe/1titanic", "kernel_id": "180161"}, {"ref": "brubinsztein/an-interactive-data-science-tutorial", "kernel_id": "177959"}, {"ref": "marksaad1/a-journey-through-titanic", "kernel_id": "178380"}, {"ref": "rajkamalsrivastav/titanic-survival-prediction", "kernel_id": "279472"}, {"ref": "cntcspo/titanic-script", "kernel_id": "186464"}, {"ref": "wirthdrew/titanic-test", "kernel_id": "248816"}, {"ref": "crisosma/notebook17972da28d", "kernel_id": "179224"}, {"ref": "xuchengyang/a-journey-through-titanic", "kernel_id": "190960"}, {"ref": "dystopian/a-journey-through-titanic", "kernel_id": "234877"}, {"ref": "priyambada/notebook3bf500dbae", "kernel_id": "230115"}, {"ref": "sherinantony/exploring-survival-on-the-titanic", "kernel_id": "276535"}, {"ref": "n3xtvision/a-journey-through-titanic", "kernel_id": "181443"}, {"ref": "roberthamlet/notebook49e912ea2a", "kernel_id": "242332"}, {"ref": "elvis101/a-journey-through-titanic", "kernel_id": "177477"}, {"ref": "chmjackychm/a-journey-through-titanic", "kernel_id": "177508"}, {"ref": "chmjackychm/a-journey-through-titanic-dba07e11", "kernel_id": "177656"}, {"ref": "aloginov/notebook06c5a62dca", "kernel_id": "179298"}, {"ref": "scart97/an-interactive-data-science-tutorial", "kernel_id": "182186"}, {"ref": "mgoldey/notebook253e64217e", "kernel_id": "234669"}, {"ref": "mgoldey/feature-selection-and-classifier-testing", "kernel_id": "234671"}, {"ref": "adelegi/notebook3945d9f9b3", "kernel_id": "263661"}, {"ref": "adelegi/titanic-disaster", "kernel_id": "194984"}, {"ref": "adelegi/titanic-disaster-test", "kernel_id": "204744"}, {"ref": "adelegi/notebook400d70c740", "kernel_id": "182707"}, {"ref": "adelegi/notebook2273e7b50a", "kernel_id": "177577"}, {"ref": "aryanjnyc/notebookff77edf09b", "kernel_id": "201183"}, {"ref": "dewilliams/notebook1ac14e1c25", "kernel_id": "177671"}, {"ref": "brianwray/getting-comfortable-with-python-3", "kernel_id": "277749"}, {"ref": "hersheyurshey/notebook8bd17c86fd", "kernel_id": "181594"}, {"ref": "sourind/notebooka94070b50f", "kernel_id": "178535"}, {"ref": "asdera123/notebook3cd12e9c7e", "kernel_id": "206118"}, {"ref": "mrliao/notebook12db2289a4", "kernel_id": "177659"}, {"ref": "mrliao/a-journey-through-titanic", "kernel_id": "177763"}, {"ref": "lah0907/introduction-to-ensembling-stacking-in-python", "kernel_id": "243524"}, {"ref": "narahsoblin/no-idea-what-i-m-doing", "kernel_id": "177680"}, {"ref": "yangzhifeng/a-journey-through-titanic", "kernel_id": "179862"}, {"ref": "yangzhifeng/titanic-random-forest-82-78", "kernel_id": "179859"}, {"ref": "datatracker/titanic-data-science-solutions", "kernel_id": "188426"}, {"ref": "datatracker/titanic-data-science-solutions-fae225", "kernel_id": "188458"}, {"ref": "jacobsenmd/notebookf15671083a", "kernel_id": "177767"}, {"ref": "zxcvqwerasdf/notebook3de7f22597", "kernel_id": "181669"}, {"ref": "chaochengli/dataset", "kernel_id": "177826"}, {"ref": "chaochengli/titanic-lichaocheng", "kernel_id": "234347"}, {"ref": "chaochengli/notebookc398a11f38", "kernel_id": "234196"}, {"ref": "rainmanbj/titanic-best-working-classifier-b607b2", "kernel_id": "190655"}, {"ref": "rainmanbj/titanic-best-working-classifier", "kernel_id": "189372"}, {"ref": "rainmanbj/introduction-to-ensembling-stacking-in-python", "kernel_id": "189375"}, {"ref": "rainmanbj/introduction-to-ensembling-stacking-in-pyth-02ccdf", "kernel_id": "189376"}, {"ref": "rainmanbj/a-journey-through-titanic-cdebf5", "kernel_id": "189379"}, {"ref": "rainmanbj/a-journey-through-titanic-b9b2c6", "kernel_id": "188446"}, {"ref": "rainmanbj/a-journey-through-titanic", "kernel_id": "188438"}, {"ref": "waaaou/notebookcac8122660", "kernel_id": "177908"}, {"ref": "kwenstring/notebook4199333aad", "kernel_id": "228692"}, {"ref": "lumosleo/notebook95d74d306d", "kernel_id": "252309"}, {"ref": "shaggy2606/a-journey-through-titanic", "kernel_id": "179508"}, {"ref": "infinitedius/notebookce6289f259", "kernel_id": "178028"}, {"ref": "tophatsteve/titanic-test-notebook", "kernel_id": "205418"}, {"ref": "dylanccccc/xgboost-example-python", "kernel_id": "178606"}, {"ref": "maximmazurok/titanic-logistic-regression-75", "kernel_id": "180926"}, {"ref": "maximmazurok/fork-of-titanic-random-forest-79", "kernel_id": "181118"}, {"ref": "maximmazurok/titanic-random-forest-79", "kernel_id": "181115"}, {"ref": "bensharkey3/notebooke5c58b2480", "kernel_id": "244008"}, {"ref": "bensharkey3/my-kaggle-titanic-challenge", "kernel_id": "244000"}, {"ref": "egmp777/a-journey-through-titanic", "kernel_id": "178424"}, {"ref": "porpheto/notebook4c459242a8", "kernel_id": "186405"}, {"ref": "whitew4/notebook76ab2daaa6", "kernel_id": "203383"}, {"ref": "slackerking/notebooke044315211", "kernel_id": "180135"}, {"ref": "slackerking/titanic-random-forest-82-78", "kernel_id": "180148"}, {"ref": "shengjiang0/shengjiang", "kernel_id": "180364"}, {"ref": "oneturkmen/survival-1", "kernel_id": "221383"}, {"ref": "tonyjames/titanic-solving-l0", "kernel_id": "202335"}, {"ref": "marbae/titanic-machine-learning-intro", "kernel_id": "231571"}, {"ref": "aer503/titanic-exploring-survival-and-random-forest-test", "kernel_id": "214741"}, {"ref": "aer503/my-random-forest-prediction-test", "kernel_id": "213578"}, {"ref": "aer503/decision-tree-prediction-r", "kernel_id": "197957"}, {"ref": "aer503/decision-tree-r", "kernel_id": "197851"}, {"ref": "aer503/svm-for-titanic", "kernel_id": "239244"}, {"ref": "knkiii/titanic-survival-try-2", "kernel_id": "259531"}, {"ref": "knkiii/titanic-try1", "kernel_id": "259443"}, {"ref": "knkiii/titanic-survival-try-1", "kernel_id": "259445"}, {"ref": "knkiii/a-journey-through-titanic", "kernel_id": "179146"}, {"ref": "knkiii/a-journey-through-titanic-754e05fa", "kernel_id": "179165"}, {"ref": "knkiii/a-journey-through-titanic-69da239c", "kernel_id": "179171"}, {"ref": "xxdu42/notebook45905c328d", "kernel_id": "180589"}, {"ref": "liget2004/notebook285e063b44", "kernel_id": "244719"}, {"ref": "fpsawicki/eda-and-prediction-on-titanic-dataset", "kernel_id": "216507"}, {"ref": "vikneshvar/notebook2952abfea9", "kernel_id": "178456"}, {"ref": "betinho/notebooke669e0c347", "kernel_id": "178531"}, {"ref": "brijesh2411/notebook7c5e97fc9a", "kernel_id": "178478"}, {"ref": "sellingwood/a-journey-through-titanic", "kernel_id": "179399"}, {"ref": "conorm97/titanic-submission", "kernel_id": "191406"}, {"ref": "denverdave5280/an-interactive-data-science-tutorial", "kernel_id": "179119"}, {"ref": "nivasn/notebook6f6008c755", "kernel_id": "178621"}, {"ref": "aurorayd/titanic-prediction", "kernel_id": "178832"}, {"ref": "rohitnaik/titanic", "kernel_id": "214666"}, {"ref": "rohitnaik/notebook64333e78fb", "kernel_id": "214264"}, {"ref": "lonelytree/notebook74fc92b39f", "kernel_id": "191975"}, {"ref": "dinesh22/a-journey-through-titanic", "kernel_id": "181188"}, {"ref": "jtson1213/notebook1d2eb27d5e", "kernel_id": "219488"}, {"ref": "jtson1213/notebook63110901c8", "kernel_id": "219489"}, {"ref": "jtson1213/titanic-data-analysis-using-decision-tree", "kernel_id": "224487"}, {"ref": "jtson1213/titanic-decision-tree-classifier", "kernel_id": "236183"}, {"ref": "andreistar/notebook33f946e1d6", "kernel_id": "179035"}, {"ref": "andreistar/exploring-survival-on-the-titanic", "kernel_id": "179002"}, {"ref": "andreistar/notebooke7fcedf5ce", "kernel_id": "198317"}, {"ref": "andreistar/introduction-to-ensembling-stacking-in-python", "kernel_id": "190622"}, {"ref": "swchoi/notebookc8a69edbb6", "kernel_id": "178887"}, {"ref": "matngo/notebook6cd55eaf21", "kernel_id": "178908"}, {"ref": "felixbigdata/logistic-regression-tuned-by-mcc-and-roc", "kernel_id": "183379"}, {"ref": "umaumahorse/notebook96bd640ee1", "kernel_id": "179020"}, {"ref": "umaumahorse/notebook4d9b4beea2", "kernel_id": "179021"}, {"ref": "kaihei/notebookc8389f7acc", "kernel_id": "179001"}, {"ref": "kaihei/notebook9c2d26e3b3", "kernel_id": "184073"}, {"ref": "maherjammal/titanic", "kernel_id": "202307"}, {"ref": "maherjammal/notebookc67e05a3b1", "kernel_id": "179007"}, {"ref": "ezesalta/notebook948c9dc110", "kernel_id": "179085"}, {"ref": "sbortolussi/notebook04fe83a0f3", "kernel_id": "211517"}, {"ref": "sbortolussi/notebook68a71b94f8", "kernel_id": "211522"}, {"ref": "ganguly/titanic-kaggletrial", "kernel_id": "181167"}, {"ref": "juampilorenzo/a-journey-through-titanic-65a474", "kernel_id": "185321"}, {"ref": "juampilorenzo/a-journey-through-titanic", "kernel_id": "184620"}, {"ref": "vendettasrk/notebookbb92ca4928", "kernel_id": "179057"}, {"ref": "gavdjo/ttest", "kernel_id": "179250"}, {"ref": "sigmapie8/title", "kernel_id": "237933"}, {"ref": "michelledebock/project-ml", "kernel_id": "205291"}, {"ref": "michelledebock/notebookd8a3bab9f8", "kernel_id": "212225"}, {"ref": "axaerickkchan/a-journey-through-titanic", "kernel_id": "189898"}, {"ref": "axaerickkchan/swimming-in-the-titanic-data", "kernel_id": "189884"}, {"ref": "quasaryang/a-journey-through-titanic", "kernel_id": "189422"}, {"ref": "mikenow/a-journey-through-titanic", "kernel_id": "179139"}, {"ref": "lambrusco/notebooke501613f50", "kernel_id": "179983"}, {"ref": "realjoet/rtest", "kernel_id": "179230"}, {"ref": "zhangyan0623/titanic-analysis", "kernel_id": "256297"}, {"ref": "collincun/notebook1f36155541", "kernel_id": "179279"}, {"ref": "collincun/notebookd0b6c8a651", "kernel_id": "179351"}, {"ref": "keinmal/a-journey-through-titanic", "kernel_id": "228200"}, {"ref": "hongyiren/test1", "kernel_id": "265162"}, {"ref": "titan47/titanic-data-science-exploration", "kernel_id": "179496"}, {"ref": "titan47/notebook93fc85a880", "kernel_id": "179448"}, {"ref": "xpharry/titanic-data-science-solutions", "kernel_id": "187589"}, {"ref": "blubeck7/titanic-competition", "kernel_id": "180632"}, {"ref": "wendycwy/notebook80009d349f", "kernel_id": "179554"}, {"ref": "rubyliao/notebook13fdcaadf5", "kernel_id": "180008"}, {"ref": "claudiocastello/titanic-solution-tutorial", "kernel_id": "277162"}, {"ref": "swaroopm/titanic-data-science-solutions", "kernel_id": "188950"}, {"ref": "wangdong8500/a-journey-through-titanic", "kernel_id": "179686"}, {"ref": "nickiexu/a-journey-through-titanic", "kernel_id": "179767"}, {"ref": "hindemann/notebooka734367573", "kernel_id": "225380"}, {"ref": "botao2/my-trial", "kernel_id": "179800"}, {"ref": "gacek91/a-journey-through-titanic", "kernel_id": "187389"}, {"ref": "ramoes/stepwise-logistic-regression-titanic-survival", "kernel_id": "188885"}, {"ref": "ramoes/stewise-logistic-models-on-titanic-survival", "kernel_id": "189016"}, {"ref": "imen22/exploring-survival-on-the-titanic", "kernel_id": "275092"}, {"ref": "tjtransferkai/notebook54f8aec765", "kernel_id": "215398"}, {"ref": "tjtransferkai/study-titanic", "kernel_id": "215399"}, {"ref": "tjtransferkai/notebook459381e874", "kernel_id": "186899"}, {"ref": "tjtransferkai/study", "kernel_id": "186907"}, {"ref": "tjtransferkai/notebook6521782446", "kernel_id": "180033"}, {"ref": "tsharlej/notebook8d279b075c", "kernel_id": "180241"}, {"ref": "paulofraga/exemplo", "kernel_id": "207844"}, {"ref": "paulofraga/notebook458a3966da", "kernel_id": "207846"}, {"ref": "atr4xxas/an-interactive-data-science-tutorial", "kernel_id": "180261"}, {"ref": "homea18/a-journey-through-titanic", "kernel_id": "180211"}, {"ref": "vatsalsodha/titanic", "kernel_id": "216612"}, {"ref": "vatsalsodha/notebook9d7a6185f8", "kernel_id": "222885"}, {"ref": "chintansavla/notebook6762e9fa05", "kernel_id": "218508"}, {"ref": "taliapelts0705/notebookfa2cda7ce5", "kernel_id": "180188"}, {"ref": "alvarisal/titulo", "kernel_id": "180289"}, {"ref": "alvarisal/notebook9a64448750", "kernel_id": "180292"}, {"ref": "adeintx/titanic-random-forest-prediction", "kernel_id": "416141"}, {"ref": "gharrisoncarey/notebooke8da6c3252", "kernel_id": "203919"}, {"ref": "gharrisoncarey/notebook749ba990f6", "kernel_id": "203915"}, {"ref": "civipush/notebook5d4402226e", "kernel_id": "180311"}, {"ref": "devil399/notebook6f79c2550c", "kernel_id": "180348"}, {"ref": "luciachousal/teest", "kernel_id": "180444"}, {"ref": "luciachousal/notebookedd608c71c", "kernel_id": "180407"}, {"ref": "luciachousal/test1", "kernel_id": "180429"}, {"ref": "greenbull/titanic-data-science-solutions", "kernel_id": "187954"}, {"ref": "bananachips/titanic-with-keras", "kernel_id": "180912"}, {"ref": "bananachips/an-interactive-data-science-tutorial", "kernel_id": "183384"}, {"ref": "lmaymir/titanic-random-forest-82-78", "kernel_id": "180463"}, {"ref": "farrar/a-journey-through-titanic", "kernel_id": "181346"}, {"ref": "jeremyb3/a-journey-through-titanic-test", "kernel_id": "180591"}, {"ref": "brendanlafferty/notebook3733f5a40e", "kernel_id": "184796"}, {"ref": "whscao/notebookb5d6525fa4", "kernel_id": "206063"}, {"ref": "jqiutest/utkml-notebook-9-feb-2017", "kernel_id": "180658"}, {"ref": "nkagolanu/notebooka4b63a774e", "kernel_id": "255819"}, {"ref": "harshdeepkanhai/notebook296bbbd41e", "kernel_id": "195014"}, {"ref": "datamle/titanic-data-science-solutions", "kernel_id": "182954"}, {"ref": "datamle/titanic-data-science-solutions-cae1a14c", "kernel_id": "182955"}, {"ref": "datamle/an-interactive-data-science-tutorial", "kernel_id": "182958"}, {"ref": "datamle/a-journey-through-titanic", "kernel_id": "180745"}, {"ref": "datamle/titanic-data-science-solutions-8bd21c", "kernel_id": "185878"}, {"ref": "haroldzhang/titanic-random-forest-82-78", "kernel_id": "186729"}, {"ref": "haroldzhang/titanic-ace233", "kernel_id": "186016"}, {"ref": "haroldzhang/exploring-survival-on-the-titanic", "kernel_id": "186009"}, {"ref": "kaenkogashi/introduction-to-ensembling-stacking-in-python", "kernel_id": "184030"}, {"ref": "kaenkogashi/introduction-to-ensembling-stacking-in-pyth-7e5869", "kernel_id": "184036"}, {"ref": "kaenkogashi/an-interactive-data-science-tutorial", "kernel_id": "184037"}, {"ref": "herbertli/draft", "kernel_id": "180796"}, {"ref": "herbertli/draft1", "kernel_id": "180800"}, {"ref": "trinatron/notebook933517b835", "kernel_id": "180819"}, {"ref": "songciting/fork-of-titanic-best-working-classifier", "kernel_id": "189299"}, {"ref": "songciting/titanic-best-working-classifier", "kernel_id": "189296"}, {"ref": "songciting/titanic-best-working-classifier-fd75dc", "kernel_id": "189347"}, {"ref": "satishbarnala/barntitanic", "kernel_id": "195116"}, {"ref": "akanshajainn/notebookcc12f1caae", "kernel_id": "180944"}, {"ref": "fastorga/titanic-first-steps", "kernel_id": "222877"}, {"ref": "jpkunkler/notebookd026291bb3", "kernel_id": "222907"}, {"ref": "jpkunkler/titanic-stacked-prediction", "kernel_id": "224546"}, {"ref": "andywill/notebookc52f500aeb", "kernel_id": "181052"}, {"ref": "gbokas/analysis", "kernel_id": "197795"}, {"ref": "jmayalag/titanic", "kernel_id": "272520"}, {"ref": "laskab/titanic-tutorial", "kernel_id": "239047"}, {"ref": "pragash/xgboost-example-python", "kernel_id": "181042"}, {"ref": "pragash/a-journey-through-titanic", "kernel_id": "181039"}, {"ref": "deadsh0t/titanic-decision-tree", "kernel_id": "219741"}, {"ref": "rameshmalinda/a-journey-through-titanic", "kernel_id": "189741"}, {"ref": "rameshmalinda/a-journey-through-titanic-e99da4", "kernel_id": "189745"}, {"ref": "rameshmalinda/titanic-desaster-newcomer", "kernel_id": "189747"}, {"ref": "rameshmalinda/a-journey-through-titanic-d91e8b", "kernel_id": "189743"}, {"ref": "rameshmalinda/titanic-disaster-newcomer", "kernel_id": "189506"}, {"ref": "rameshmalinda/exploring-survival-on-the-titanic", "kernel_id": "189476"}, {"ref": "rameshmalinda/a-journey-through-titanic-65efc3", "kernel_id": "190513"}, {"ref": "rameshmalinda/an-interactive-data-science-tutorial", "kernel_id": "182441"}, {"ref": "dgaponov/exploring-the-titanic-dataset", "kernel_id": "268009"}, {"ref": "neeluk4/notebookef34d98c69", "kernel_id": "181132"}, {"ref": "patha325/titanic-data-science-solutions", "kernel_id": "279706"}, {"ref": "adlurisaivihar/notebook8a870fb614", "kernel_id": "231396"}, {"ref": "adlurisaivihar/prac1", "kernel_id": "231399"}, {"ref": "seanshah/notebook924cd77c79", "kernel_id": "233993"}, {"ref": "vbputz/notebook41c0904dfb", "kernel_id": "184792"}, {"ref": "vbputz/notebookd20f529766", "kernel_id": "184781"}, {"ref": "vbputz/notebookb97ea07d2f", "kernel_id": "184783"}, {"ref": "kchoi9/titanic-data-science-solutions", "kernel_id": "193341"}, {"ref": "homerawesome/yoooo", "kernel_id": "181277"}, {"ref": "homerawesome/a-journey-through-titanic", "kernel_id": "181280"}, {"ref": "ghhabib/notebook7bac8e66dd", "kernel_id": "181300"}, {"ref": "ankur1129/notebook82c19451bf", "kernel_id": "218984"}, {"ref": "jotriscott/my-titanic-notebook", "kernel_id": "204783"}, {"ref": "rachana93/notebookd878d09df6", "kernel_id": "189107"}, {"ref": "aadilcifer/titanic-data-science-solutions", "kernel_id": "456342"}, {"ref": "antnajj/notebookbf5e48f172", "kernel_id": "187806"}, {"ref": "antnajj/a-journey-through-titanic", "kernel_id": "187696"}, {"ref": "deanbudd/an-interactive-data-science-tutorial", "kernel_id": "181496"}, {"ref": "chloebee/a-journey-through-titanic", "kernel_id": "181566"}, {"ref": "mdsibghatullah/notebook7373ad38ee", "kernel_id": "213856"}, {"ref": "mdsibghatullah/notebook369ba0e3ac", "kernel_id": "202906"}, {"ref": "gospelslide/notebook2f7531e12a", "kernel_id": "228759"}, {"ref": "prakharmishra/titanic", "kernel_id": "183442"}, {"ref": "prakharmishra/titanic-survival", "kernel_id": "183443"}, {"ref": "prakharmishra/notebook55ca5feba5", "kernel_id": "183438"}, {"ref": "krkapilrathore/notebook9eed99bb10", "kernel_id": "268373"}, {"ref": "haensn/notebookbb5f8c39ef", "kernel_id": "190623"}, {"ref": "haensn/a-journey-through-titanic", "kernel_id": "191642"}, {"ref": "haensn/notebookb1e20f1a2e", "kernel_id": "193207"}, {"ref": "unoyiyi/titanic-prediction", "kernel_id": "530351"}, {"ref": "kaykayy/notebooka648e020dc", "kernel_id": "210417"}, {"ref": "anjani1424/a-journey-through-titanic", "kernel_id": "193882"}, {"ref": "zrayyes/notebookd228333785", "kernel_id": "216780"}, {"ref": "oscarjcristobal/an-interactive-data-science-tutorial", "kernel_id": "181724"}, {"ref": "mvcduarte/titanic-random-forest-82-78", "kernel_id": "181763"}, {"ref": "yuankuan/dontlook", "kernel_id": "181741"}, {"ref": "yuankuan/kuancheat", "kernel_id": "208118"}, {"ref": "laurentbraud/discover-kaggle-try-python-and-titanic", "kernel_id": "236561"}, {"ref": "saeiddadkhah/fromtutorial", "kernel_id": "182662"}, {"ref": "saeiddadkhah/pytanic-0-rf", "kernel_id": "193398"}, {"ref": "benchishao/a-journey-through-titanic", "kernel_id": "181832"}, {"ref": "benchishao/a-journey-through-titanic-9d1f91bd", "kernel_id": "181863"}, {"ref": "totaki/a-journey-through-titanic", "kernel_id": "183366"}, {"ref": "anirban00727/titanic-survival-chances-prediction", "kernel_id": "275261"}, {"ref": "hydrangea/notebookaafb171b89", "kernel_id": "190932"}, {"ref": "arneoi/notebookc428fbf49f", "kernel_id": "181935"}, {"ref": "arneoi/notebook35363ef43d", "kernel_id": "181932"}, {"ref": "arneoi/notebookeea8c352dc", "kernel_id": "261402"}, {"ref": "pharmer100/a-journey-through-titanic", "kernel_id": "181975"}, {"ref": "ztztztzt/a-journey-through-titanic", "kernel_id": "181988"}, {"ref": "natalion/notebookbd6331082f", "kernel_id": "182041"}, {"ref": "poornachanderj/a-journey-through-titanic", "kernel_id": "187658"}, {"ref": "diogo22santos/titanic-competition-python", "kernel_id": "681565"}, {"ref": "shalinialuri/notebook8d15eb59b1", "kernel_id": "189017"}, {"ref": "shalinialuri/notebookee1f3e6d46", "kernel_id": "189080"}, {"ref": "shalinialuri/notebook6dbd9d782a", "kernel_id": "196450"}, {"ref": "rafaelefucho/myfirstsummision", "kernel_id": "182044"}, {"ref": "jmanzano130/titanic-random-forest-82-78", "kernel_id": "182820"}, {"ref": "b4stewar/notebook488ecdeb2b", "kernel_id": "182068"}, {"ref": "tatianass/random-forest-benchmark-r", "kernel_id": "183180"}, {"ref": "playwithdata/notebook09a56fc62b", "kernel_id": "182099"}, {"ref": "playwithdata/notebook3104aaf4ca", "kernel_id": "233624"}, {"ref": "bschrift/keras-attempt", "kernel_id": "215965"}, {"ref": "ayyagarikiran/a-journey-through-titanic", "kernel_id": "189051"}, {"ref": "zywrite/a-journey-through-titanic", "kernel_id": "192547"}, {"ref": "muzunogullari/my-take-on-the-titanic-challenge", "kernel_id": "182243"}, {"ref": "muzunogullari/script-for-titanic", "kernel_id": "182250"}, {"ref": "dzlsuperdvd/exploring-survival-on-the-titanic", "kernel_id": "188096"}, {"ref": "alma123/titanic", "kernel_id": "182344"}, {"ref": "dx1234/predicting-survival-rate-on-titanic", "kernel_id": "182561"}, {"ref": "monnelh/notebooka0719c8238", "kernel_id": "188672"}, {"ref": "liuvict/notebookb6ebf4d55b", "kernel_id": "224464"}, {"ref": "liuvict/notebookfa896c72da", "kernel_id": "224465"}, {"ref": "liuvict/a-complete-data-science-work-flow", "kernel_id": "230762"}, {"ref": "susuhtetkyaw/notebook84331a33a6", "kernel_id": "228825"}, {"ref": "suigin/notebook76fc0f43a5", "kernel_id": "183353"}, {"ref": "ilankil/a-journey-through-titanic", "kernel_id": "182429"}, {"ref": "mahmud007/exploring-titanic-survival-rates", "kernel_id": "182685"}, {"ref": "mosquiton01/notebook743f5186e7", "kernel_id": "186138"}, {"ref": "decipherer/notebook5f10b4c271", "kernel_id": "224491"}, {"ref": "xooloox/cyrus-test", "kernel_id": "182543"}, {"ref": "jirlock/notebookb7b987becd", "kernel_id": "205274"}, {"ref": "jirlock/notebookab4b7db70c", "kernel_id": "205263"}, {"ref": "jirlock/notebookacc06ab053", "kernel_id": "205268"}, {"ref": "kalvinwu/notebooke19e2a6756", "kernel_id": "182576"}, {"ref": "kalvinwu/knn-model", "kernel_id": "184087"}, {"ref": "tongliu/a-journey-through-titanic-bf6d48", "kernel_id": "196664"}, {"ref": "tongliu/a-journey-through-titanic", "kernel_id": "195742"}, {"ref": "seongu/a-journey-through-titanic", "kernel_id": "183049"}, {"ref": "yetingsky/a-journey-through-titanic", "kernel_id": "182691"}, {"ref": "yetingsky/fork-of-a-journey-through-titanic", "kernel_id": "182695"}, {"ref": "brosiv/a-journey-through-titanic", "kernel_id": "185447"}, {"ref": "brosiv/a-journey-through-titanic-78774b", "kernel_id": "185492"}, {"ref": "yishuishi/titanic-randomforestclassifier", "kernel_id": "328233"}, {"ref": "yishuishi/titanic-randomforestclassifier-1", "kernel_id": "328249"}, {"ref": "leodisi/notebook76b30ab807", "kernel_id": "244102"}, {"ref": "leodisi/notebook18d3f4e4b6", "kernel_id": "205413"}, {"ref": "ramjeepenta/a-journey-through-titanic", "kernel_id": "182767"}, {"ref": "ramjeepenta/a-journey-through-titanic-1219d5f2", "kernel_id": "183615"}, {"ref": "incoherance/titanic-tutorial", "kernel_id": "217888"}, {"ref": "bledarkulemani/notebookd3154ca410", "kernel_id": "182764"}, {"ref": "aqurilla/the-titanic-an-analysis-using-python", "kernel_id": "183803"}, {"ref": "aqurilla/the-titanic-an-analysis", "kernel_id": "183817"}, {"ref": "warrierr/a-journey-through-titanic", "kernel_id": "182917"}, {"ref": "most00/notebook9187e9fd58", "kernel_id": "263662"}, {"ref": "nima7321/a-journey-through-titanic", "kernel_id": "183018"}, {"ref": "nima7321/notebookf655d555a6", "kernel_id": "182992"}, {"ref": "nima7321/notebookb86b077e49", "kernel_id": "183012"}, {"ref": "shujiaohuang/titanic-r", "kernel_id": "186783"}, {"ref": "shujiaohuang/notebook0e7a173058", "kernel_id": "186696"}, {"ref": "shujiaohuang/notebook81ee091bff", "kernel_id": "186685"}, {"ref": "shujiaohuang/titanic", "kernel_id": "186686"}, {"ref": "shaan0056/notebook918e1ecdee", "kernel_id": "196586"}, {"ref": "sainarayana/titanic-data-science-solutions", "kernel_id": "188352"}, {"ref": "oyzh1992/notebooke1d871a65a", "kernel_id": "183139"}, {"ref": "oyzh1992/a-journey-through-titanic", "kernel_id": "183123"}, {"ref": "barrios160679/notebook718e68d29b", "kernel_id": "278021"}, {"ref": "scottorgel/titanic", "kernel_id": "216922"}, {"ref": "arjundas/random-forest-benchmark-r", "kernel_id": "203441"}, {"ref": "peterzhang321/notebook6daa143a05", "kernel_id": "248098"}, {"ref": "vernyvernz/visualization-a-start", "kernel_id": "251385"}, {"ref": "vernyvernz/titanic-a-machine-learning-intro", "kernel_id": "249653"}, {"ref": "vernyvernz/titanic-an-introduction", "kernel_id": "249657"}, {"ref": "puleengupta/notebook8dc688c2b9", "kernel_id": "183280"}, {"ref": "puleengupta/try1-1", "kernel_id": "220975"}, {"ref": "manikantasangu/notebookbf92c099d9", "kernel_id": "269020"}, {"ref": "jianghuiying/an-interactive-data-science-tutorial-027046", "kernel_id": "184420"}, {"ref": "jianghuiying/a-journey-through-titanic", "kernel_id": "184421"}, {"ref": "jianghuiying/an-interactive-data-science-tutorial-f32fae", "kernel_id": "185096"}, {"ref": "jianghuiying/notebookfa9d2b4464", "kernel_id": "229339"}, {"ref": "jianghuiying/notebook8cbbaf9da3", "kernel_id": "230135"}, {"ref": "jianghuiying/a-journey-through-titanic-1ad5fd", "kernel_id": "229592"}, {"ref": "jianghuiying/an-interactive-data-science-tutorial", "kernel_id": "183471"}, {"ref": "jianghuiying/titanic-0-8294", "kernel_id": "241672"}, {"ref": "jianghuiying/notebooke377c6d2c1", "kernel_id": "242923"}, {"ref": "jianghuiying/notebook3651de9866", "kernel_id": "232617"}, {"ref": "jianghuiying/notebook77dfedf135", "kernel_id": "232015"}, {"ref": "jianghuiying/notebookeaa5225bcc", "kernel_id": "233594"}, {"ref": "jianghuiying/titanic-random-forest-82-78-0465a3", "kernel_id": "233575"}, {"ref": "jianghuiying/notebookdb13e1e474", "kernel_id": "233497"}, {"ref": "jianghuiying/titanic-demo2-xgboost", "kernel_id": "233785"}, {"ref": "jianghuiying/notebook07dd5ee504", "kernel_id": "237344"}, {"ref": "jianghuiying/notebook2533ec315c", "kernel_id": "238032"}, {"ref": "jianghuiying/titanic-stacking", "kernel_id": "240598"}, {"ref": "mitulsa/kaggle-ml-tutorial-titanic", "kernel_id": "262572"}, {"ref": "phanny/notebook81b7094bd0", "kernel_id": "212020"}, {"ref": "shaw10/notebookdd82c8f9bc", "kernel_id": "247407"}, {"ref": "yassau/titanic-data-science-solutions", "kernel_id": "225348"}, {"ref": "umk2933/notebookbfe3eede7f", "kernel_id": "277013"}, {"ref": "tmbarrett/notebook323e399924", "kernel_id": "192069"}, {"ref": "gogogada/notebook3277555f70", "kernel_id": "183843"}, {"ref": "newtonhack/notebookb915e7d0a7", "kernel_id": "183468"}, {"ref": "ftorid/python-test-kernel", "kernel_id": "185325"}, {"ref": "yangfazhi/notebookee3dc71138", "kernel_id": "208023"}, {"ref": "kingr9/a-journey-through-titanic", "kernel_id": "191959"}, {"ref": "xianglin/notebook1f9d694062", "kernel_id": "183512"}, {"ref": "aminez/notebookcea7a4e472", "kernel_id": "184357"}, {"ref": "aminez/titanic-amine", "kernel_id": "184366"}, {"ref": "aminez/a-journey-through-titanic", "kernel_id": "184368"}, {"ref": "lixiaoxuehua/notebook9930189c85", "kernel_id": "184057"}, {"ref": "smonroe86/notebook84ddc9295c", "kernel_id": "229857"}, {"ref": "coder81/notebook741dc1af2d", "kernel_id": "200970"}, {"ref": "mjoshi/notebook43405a7076", "kernel_id": "183580"}, {"ref": "liupingguang/notebookd58eeea9b1", "kernel_id": "185113"}, {"ref": "liupingguang/testlpg-py", "kernel_id": "185116"}, {"ref": "liupingguang/notebook373bf50cc2", "kernel_id": "185146"}, {"ref": "timsey/a-journey-through-titanic", "kernel_id": "183651"}, {"ref": "timsey/an-interactive-data-science-tutorial", "kernel_id": "183656"}, {"ref": "tlegroux/firstscript", "kernel_id": "183631"}, {"ref": "masakoba/a-journey-through-titanic", "kernel_id": "188608"}, {"ref": "masakoba/mastering-the-basics-on-the-rms-titanic", "kernel_id": "195551"}, {"ref": "cman3712/notebookd00aa33e4f", "kernel_id": "244843"}, {"ref": "cman3712/notebook9da4ffdfa3", "kernel_id": "244854"}, {"ref": "cman3712/notebookdbfc270ef6", "kernel_id": "244846"}, {"ref": "carlosduke/notebook0b43f1cdc5", "kernel_id": "193187"}, {"ref": "nathanleighjensen/titanic-disaster-of-a-code", "kernel_id": "183684"}, {"ref": "nathanleighjensen/fork-of-notebook2111c265de", "kernel_id": "183687"}, {"ref": "kumarandatascientist/titanic-dataset", "kernel_id": "440373"}, {"ref": "thomasschied/an-interactive-data-science-tutorial", "kernel_id": "260555"}, {"ref": "marcil/notebookd3d2b8ae3f", "kernel_id": "183729"}, {"ref": "akshunkumar/notebook8d97d67928", "kernel_id": "211205"}, {"ref": "asharamu/predicting-titanic-survivors", "kernel_id": "209999"}, {"ref": "tnetennba3/introduction-to-ensembling-stacking-in-python", "kernel_id": "193136"}, {"ref": "cschavis/notebook0dd01a6e85", "kernel_id": "183808"}, {"ref": "cschavis/a-journey-through-titanic", "kernel_id": "183819"}, {"ref": "harini5693/titanic-data-science-solutions", "kernel_id": "188415"}, {"ref": "harini5693/introduction-to-ensembling-stacking-in-python", "kernel_id": "189304"}, {"ref": "harini5693/notebook9e209a3968", "kernel_id": "189305"}, {"ref": "harini5693/titanic-best-working-classifier", "kernel_id": "189271"}, {"ref": "harini5693/a-journey-through-titanic", "kernel_id": "189300"}, {"ref": "harini5693/titanic-best-working-classifier-50e9a4", "kernel_id": "189276"}, {"ref": "harini5693/data-analysisusingpython", "kernel_id": "189184"}, {"ref": "harini5693/notebook10566210fa", "kernel_id": "218627"}, {"ref": "lampertb/a-journey-through-titanic", "kernel_id": "190104"}, {"ref": "deadjoker/a-journey-through-titanic", "kernel_id": "184600"}, {"ref": "deadjoker/titanic", "kernel_id": "184596"}, {"ref": "leifjacobson/notebookbb12fecd14", "kernel_id": "187169"}, {"ref": "mickwang/exploring-survival-on-the-titanic", "kernel_id": "183999"}, {"ref": "mickwang/notebook9034200e37", "kernel_id": "184015"}, {"ref": "kagglesini/introduction-to-ensembling-stacking-in-python", "kernel_id": "188407"}, {"ref": "moziyu/notebook795372e6e3", "kernel_id": "184220"}, {"ref": "moziyu/mytest", "kernel_id": "184221"}, {"ref": "sudheeshsinganamalla/titanic", "kernel_id": "184305"}, {"ref": "junjae/a-journey-through-titanic", "kernel_id": "184145"}, {"ref": "alnassirah/notebook9de8805659", "kernel_id": "184174"}, {"ref": "ijwatson/notebook109f25e0c2", "kernel_id": "184175"}, {"ref": "tonyyates/notebookc0ae1b9fde", "kernel_id": "184239"}, {"ref": "dawanderer/notebook47e99dafcf", "kernel_id": "208442"}, {"ref": "dawanderer/notebooka54045baff", "kernel_id": "208438"}, {"ref": "dawithaile06/titanic-data-science-solutions", "kernel_id": "345872"}, {"ref": "dawithaile06/titanic-survival-exploration", "kernel_id": "325134"}, {"ref": "sdmalik/notebookf909a03e01", "kernel_id": "184261"}, {"ref": "mohcer/a-journey-through-titanic", "kernel_id": "184287"}, {"ref": "ziheng/a-journey-through-titanic", "kernel_id": "184946"}, {"ref": "chuxinhuang/b1-kagge-titanic-02", "kernel_id": "351327"}, {"ref": "rokkos/notebook98552c77f1", "kernel_id": "201042"}, {"ref": "r13ssh/an-interactive-data-science-tutorial", "kernel_id": "184455"}, {"ref": "zeroger/a-journey-through-titanic", "kernel_id": "185117"}, {"ref": "dkniazev/notebook0e84357d78", "kernel_id": "187080"}, {"ref": "dkniazev/notebooka1c1814f37", "kernel_id": "209774"}, {"ref": "alrubeaan/titanic", "kernel_id": "188148"}, {"ref": "theodoreyin/a-journey-through-titanic", "kernel_id": "185135"}, {"ref": "plamen92/notebook8ab18f4fa0", "kernel_id": "184470"}, {"ref": "bghazy/myfirstkernel", "kernel_id": "203552"}, {"ref": "bghazy/exploring-survival-on-the-titanic", "kernel_id": "203561"}, {"ref": "tommylees112/notebook2bf433333f", "kernel_id": "203752"}, {"ref": "th3ed1/a-journey-through-titanic", "kernel_id": "184524"}, {"ref": "th3ed1/notebook543cf19065", "kernel_id": "258493"}, {"ref": "th3ed1/titanic", "kernel_id": "258497"}, {"ref": "cailizhang/titanic", "kernel_id": "184566"}, {"ref": "anbuaadhi/my-first-experiment-with-datascience", "kernel_id": "189352"}, {"ref": "anbuaadhi/notebook058870afa9", "kernel_id": "235538"}, {"ref": "anbuaadhi/my-first-kaggle-submission", "kernel_id": "235539"}, {"ref": "srijanpabbi/titanic-solution", "kernel_id": "516343"}, {"ref": "liuyang1/notebook29f0b6cdc0", "kernel_id": "185802"}, {"ref": "vivalavile/a-journey-through-titanic", "kernel_id": "184694"}, {"ref": "vivalavile/a-journey-through-titanic-a583bc", "kernel_id": "184718"}, {"ref": "contrabit/an-interactive-data-science-tutorial", "kernel_id": "184688"}, {"ref": "mbourgeois1/notebook09d96ce0ce", "kernel_id": "191135"}, {"ref": "mbourgeois1/notebook3a4d9c2341", "kernel_id": "191155"}, {"ref": "zxcvbnius/a-journey-through-titanic", "kernel_id": "185687"}, {"ref": "kaggliver/a-journey-through-titanic", "kernel_id": "184701"}, {"ref": "hawelux/xgboost-example-python", "kernel_id": "184729"}, {"ref": "tianyangchen/notebookddf804c372", "kernel_id": "185726"}, {"ref": "antoinechopin/notebookf98ecfb784", "kernel_id": "185669"}, {"ref": "antoinechopin/titanic-data-science-solutions", "kernel_id": "186313"}, {"ref": "antoinechopin/introduction-to-ensembling-stacking-in-python", "kernel_id": "186314"}, {"ref": "ferrerooo/a-journey-through-titanic", "kernel_id": "184761"}, {"ref": "ferrerooo/a-journey-through-titanic-34b882", "kernel_id": "184784"}, {"ref": "ferrerooo/a-journey-through-titanic-2df7d3", "kernel_id": "184824"}, {"ref": "p2pjoin/notebook4fd92d78cf", "kernel_id": "229076"}, {"ref": "brunorochaoliveira/notebookb32dcb1aef", "kernel_id": "184873"}, {"ref": "brunorochaoliveira/rrrrr", "kernel_id": "184888"}, {"ref": "brunorochaoliveira/notebookd985db253d", "kernel_id": "184879"}, {"ref": "brunorochaoliveira/analise", "kernel_id": "184881"}, {"ref": "brunorochaoliveira/test-one", "kernel_id": "184883"}, {"ref": "brunorochaoliveira/notebook989a328e5d", "kernel_id": "205908"}, {"ref": "brunorochaoliveira/notebookb9579c7f3f", "kernel_id": "218709"}, {"ref": "bwarner14/bestattempt", "kernel_id": "241703"}, {"ref": "bwarner14/brandontitanic2", "kernel_id": "235460"}, {"ref": "bwarner14/titanicattempt", "kernel_id": "237864"}, {"ref": "bwarner14/my-first-machine-learning-competition", "kernel_id": "237871"}, {"ref": "hb17dev/a-journey-through-titanic", "kernel_id": "184915"}, {"ref": "yfsoccer/titanic-data-science-solutions", "kernel_id": "186785"}, {"ref": "yfsoccer/a-journey-through-titanic", "kernel_id": "186786"}, {"ref": "mliggs/an-interactive-data-science-tutorial", "kernel_id": "184967"}, {"ref": "futoase/notebooke6134da0fb", "kernel_id": "187775"}, {"ref": "sbis07/notebook0b7820574c", "kernel_id": "185525"}, {"ref": "jiangzju/notebook259cd5b80d", "kernel_id": "205029"}, {"ref": "chenoo123/notebookdd1a419733", "kernel_id": "185104"}, {"ref": "pwn2own/notebook94d356361e", "kernel_id": "255148"}, {"ref": "bradelement/element-s-first-kaggle-try", "kernel_id": "185162"}, {"ref": "bradelement/notebook5d4feda11b", "kernel_id": "185153"}, {"ref": "ovcharenkoo/notebook6f5e93eb85", "kernel_id": "185232"}, {"ref": "georgeantony1114/an-interactive-data-science-tutorial", "kernel_id": "185195"}, {"ref": "wangjingwen/a-journey-through-titanic", "kernel_id": "185194"}, {"ref": "danielzorin/randomforestclassifier-for-titanic", "kernel_id": "231395"}, {"ref": "dibyaj/titanic-servivals", "kernel_id": "222829"}, {"ref": "dibyaj/titanic-passenger-survived", "kernel_id": "220960"}, {"ref": "bluezzz/notebook8b082c5ee1", "kernel_id": "211090"}, {"ref": "krisvija/my-first-kernel-titanic", "kernel_id": "293204"}, {"ref": "meenambal/myscript", "kernel_id": "185249"}, {"ref": "asatsi/testing-the-waters", "kernel_id": "270469"}, {"ref": "onurozdemir94/notebookee6afff43c", "kernel_id": "191957"}, {"ref": "onurozdemir94/titanic-data-science-solutions", "kernel_id": "191947"}, {"ref": "onurozdemir94/titanic", "kernel_id": "191964"}, {"ref": "theillusionist/notebook383d73e528", "kernel_id": "269535"}, {"ref": "theillusionist/notebookdf70853516", "kernel_id": "266460"}, {"ref": "sukerzh/notebooke143490039", "kernel_id": "187204"}, {"ref": "sukerzh/fork-of-notebooke143490039", "kernel_id": "187284"}, {"ref": "julesdiez/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "187395"}, {"ref": "julesdiez/an-interactive-data-science-tutorial", "kernel_id": "185324"}, {"ref": "julesdiez/complete-journey-through-a-first-attempt-to-submit", "kernel_id": "223179"}, {"ref": "zakhumalo/fork-of-titanic-problem-attempt-1", "kernel_id": "354382"}, {"ref": "artnotintelligence/exploring-survival-on-the-titanic", "kernel_id": "185348"}, {"ref": "crispar/notebook5a1b564577", "kernel_id": "185363"}, {"ref": "algocomp/a-journey-through-titanic", "kernel_id": "187949"}, {"ref": "jmaniteja/notebook700f224740", "kernel_id": "185371"}, {"ref": "wolewo/titanic-data-science-solutions", "kernel_id": "190377"}, {"ref": "wolewo/titanic-random-forest-82-78", "kernel_id": "190285"}, {"ref": "jhoncarrillo/notebook73f626fdf8", "kernel_id": "211908"}, {"ref": "tengshan2008/notebook102e674d19", "kernel_id": "236913"}, {"ref": "mpraneeth/notebookd044d784c3", "kernel_id": "209571"}, {"ref": "osmaister/notebook37eee69582", "kernel_id": "249759"}, {"ref": "xuanquy/titanic", "kernel_id": "201718"}, {"ref": "anandvidvat/titanic-data-set", "kernel_id": "356456"}, {"ref": "sthakky/notebook75e973510f", "kernel_id": "185470"}, {"ref": "sthakky/notebook903e07b63d", "kernel_id": "185724"}, {"ref": "cjlarson/cjlarson-class-tree-r-titanic", "kernel_id": "186429"}, {"ref": "weishuowen1989/ensemble-stacking-with-et-script", "kernel_id": "276954"}, {"ref": "sbadillo/primer-cuaderno", "kernel_id": "186293"}, {"ref": "sbadillo/notebook6dda9db587", "kernel_id": "187087"}, {"ref": "sbadillo/first-notebook-titanic", "kernel_id": "198745"}, {"ref": "columk/testcode1", "kernel_id": "205880"}, {"ref": "alexyin/exploratory-tutorial-titanic", "kernel_id": "185587"}, {"ref": "unicornfire/notebook45c4a08a4c", "kernel_id": "186416"}, {"ref": "suruchifialoke/a-journey-through-titanic", "kernel_id": "219286"}, {"ref": "taeho1/exploring-survival-on-the-titanic", "kernel_id": "185733"}, {"ref": "syparagon/notebook6e524a757a", "kernel_id": "247315"}, {"ref": "nickzheng/an-interactive-data-science-tutorial", "kernel_id": "212159"}, {"ref": "nickzheng/randomforest-gradientboosting", "kernel_id": "212134"}, {"ref": "nickzheng/notebookcdd2b967af", "kernel_id": "212067"}, {"ref": "nickzheng/notebook258eec4348", "kernel_id": "211119"}, {"ref": "nickzheng/notebook24e7f900ab", "kernel_id": "211120"}, {"ref": "nickzheng/notebook22a7f77f66", "kernel_id": "211121"}, {"ref": "nickzheng/titantic", "kernel_id": "211122"}, {"ref": "nickzheng/a-journey-through-titanic-e837bf", "kernel_id": "217159"}, {"ref": "nickzheng/titanic-data-science-solutions-4f0d4e", "kernel_id": "216292"}, {"ref": "nickzheng/titanic-best-working-classifier", "kernel_id": "216297"}, {"ref": "nickzheng/titanic-random-forest-82-78", "kernel_id": "216398"}, {"ref": "nickzheng/genetic-programming-lb-0-88", "kernel_id": "216394"}, {"ref": "nickzheng/titanic-best-working-classifier-6927cd", "kernel_id": "216387"}, {"ref": "nickzheng/a-journey-through-titanic-c14959", "kernel_id": "216364"}, {"ref": "nickzheng/titanic-data-science-solutions", "kernel_id": "186990"}, {"ref": "nickzheng/a-journey-through-titanic", "kernel_id": "193664"}, {"ref": "nickzheng/introduction-to-ensembling-stacking-in-python", "kernel_id": "193625"}, {"ref": "maoxiaole/a-journey-through-titanic", "kernel_id": "189681"}, {"ref": "machinemonk/first-kernel-exploring-titanic-dataset", "kernel_id": "205367"}, {"ref": "barryhunt/introduction-to-ensembling-stacking-in-pyth-ace527", "kernel_id": "231124"}, {"ref": "datasree/titanic-att1", "kernel_id": "254540"}, {"ref": "supstring/print", "kernel_id": "186013"}, {"ref": "yiyuanliu/titanic", "kernel_id": "266465"}, {"ref": "vicki1102/notebooka940f43951", "kernel_id": "192567"}, {"ref": "vicki1102/notebook51b35fd97f", "kernel_id": "192583"}, {"ref": "syounlee/notebook03f9b373a7", "kernel_id": "549970"}, {"ref": "ramanamurthy/notebook83385c8bf0", "kernel_id": "189684"}, {"ref": "ramanamurthy/notebook0e002dfe05", "kernel_id": "189646"}, {"ref": "matan1965/titanic-data-science-try", "kernel_id": "189585"}, {"ref": "matan1965/notebookc7adb32ada", "kernel_id": "189545"}, {"ref": "matan1965/notebook0c72fa59b6", "kernel_id": "188660"}, {"ref": "matan1965/titanic-random-forest", "kernel_id": "205430"}, {"ref": "matan1965/titanic-second-try", "kernel_id": "203541"}, {"ref": "parmitabiswas/notebookddf396e519", "kernel_id": "268049"}, {"ref": "fenggoahead/notebookfdeb4be266", "kernel_id": "186105"}, {"ref": "fenggoahead/only-for-testing-submit", "kernel_id": "187650"}, {"ref": "awsomeasqc/introduction-to-ensembling-stacking-in-python", "kernel_id": "228446"}, {"ref": "awsomeasqc/a-journey-through-titanic-86d9d3", "kernel_id": "229505"}, {"ref": "wire9frame/notebooke39538eaa9", "kernel_id": "235100"}, {"ref": "wire9frame/notebook44535ce6fc", "kernel_id": "235102"}, {"ref": "bigbao12345/titaniclearningqi123", "kernel_id": "241270"}, {"ref": "thmigu/notebook186250ac14", "kernel_id": "186297"}, {"ref": "thmigu/titanic-survivalability", "kernel_id": "186261"}, {"ref": "thmigu/titanic-exploration-and-ml-in-python", "kernel_id": "262215"}, {"ref": "rishabhkumarjha/a-journey-through-titanic", "kernel_id": "186192"}, {"ref": "datassassin/a-journey-through-titanic", "kernel_id": "186221"}, {"ref": "machazthegamer/introduction-to-ensembling-stacking-in-python", "kernel_id": "188699"}, {"ref": "hec5242/a-journey-through-titanic", "kernel_id": "186197"}, {"ref": "hec5242/notebook5c0f3cec7b", "kernel_id": "186189"}, {"ref": "ayyappana82/a-journey-through-titanic", "kernel_id": "187137"}, {"ref": "alexus1000/prueba1", "kernel_id": "197077"}, {"ref": "saulkohn/titanic-kaggletrial", "kernel_id": "196175"}, {"ref": "munirsalman/notebook29366e0d4e", "kernel_id": "187964"}, {"ref": "tinapai/predicting-titanic-survival", "kernel_id": "186343"}, {"ref": "khanhnn/a-journey-through-titanic", "kernel_id": "186338"}, {"ref": "khanhnn/a-journey-through-titanic-b337cf", "kernel_id": "186396"}, {"ref": "reedheim/titanic-challenge-w-stacking", "kernel_id": "950414"}, {"ref": "supermdguy/notebook70167b29e4", "kernel_id": "186372"}, {"ref": "suebose001/notebook2690ebf52e", "kernel_id": "186969"}, {"ref": "chris32he/notebook855162d2f1", "kernel_id": "186598"}, {"ref": "mchong/notebookfcd4d521a6", "kernel_id": "231161"}, {"ref": "chenyc15/notebook1e338d5d3a", "kernel_id": "186513"}, {"ref": "chenyc15/a-journey-through-titanic", "kernel_id": "186514"}, {"ref": "sarahvch/survival-predicted-by-logistic-regression", "kernel_id": "188917"}, {"ref": "sarahvch/titanic-predictions", "kernel_id": "345520"}, {"ref": "kadirmalak/notebook9aea8e7485", "kernel_id": "253944"}, {"ref": "abhat98/titanic-data-science-solutions", "kernel_id": "215340"}, {"ref": "tjerry/a-journey-through-titanic", "kernel_id": "186526"}, {"ref": "cjsunsun/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "186753"}, {"ref": "cjsunsun/a-journey-through-titanic", "kernel_id": "186754"}, {"ref": "trvrmgn/exploring-survival-on-the-titanic", "kernel_id": "186555"}, {"ref": "alonamedi/a-journey-through-titanic", "kernel_id": "186581"}, {"ref": "alonamedi/a-journey-through-titanic-be8551", "kernel_id": "190141"}, {"ref": "jsaumya/notebookd23b0ba524", "kernel_id": "212616"}, {"ref": "dongqingzhu/a-journey-through-titanic", "kernel_id": "186669"}, {"ref": "buzzrr/notebook6165c60d80", "kernel_id": "188763"}, {"ref": "londongunner14/mr111", "kernel_id": "186836"}, {"ref": "londongunner14/titanic-random-forest-82-78", "kernel_id": "186831"}, {"ref": "kusumarajuprasanth/notebookc7fdda232c", "kernel_id": "188451"}, {"ref": "kusumarajuprasanth/titanic-py", "kernel_id": "188447"}, {"ref": "atlasdust/testtt", "kernel_id": "188650"}, {"ref": "atlasdust/an-interactive-data-science-tutorial-9dce04", "kernel_id": "238989"}, {"ref": "kaggleed/notebook3ec280dcb5", "kernel_id": "186953"}, {"ref": "frankzappa42/titanic-machine-learning-from-disaster-01", "kernel_id": "222567"}, {"ref": "dimathe47/a-journey-through-titanic", "kernel_id": "187007"}, {"ref": "shadikkhan/enter-the-titanic", "kernel_id": "187062"}, {"ref": "chemug/notebookc1530fc8a6", "kernel_id": "201028"}, {"ref": "chemug/titanic-solution", "kernel_id": "322940"}, {"ref": "chikane/a-journey-through-titanic-547b72", "kernel_id": "187113"}, {"ref": "chikane/a-journey-through-titanic", "kernel_id": "187103"}, {"ref": "riktim/a-journey-through-titanic", "kernel_id": "187940"}, {"ref": "som2004/titanic-exploration-project-hands-on", "kernel_id": "208715"}, {"ref": "som2004/notebook390b1caa27", "kernel_id": "210475"}, {"ref": "guopenghua/my-first-step-in-kaggle-titanic", "kernel_id": "190496"}, {"ref": "guopenghua/notebookd1104bd720", "kernel_id": "189402"}, {"ref": "kamaluddin13/titanic-exercise", "kernel_id": "206413"}, {"ref": "kamaluddin13/notebookc98675eb01", "kernel_id": "206411"}, {"ref": "shettysindhu63/navigating-titanic", "kernel_id": "187257"}, {"ref": "shettysindhu63/notebook75dd891a92", "kernel_id": "187249"}, {"ref": "pswathi/titanic", "kernel_id": "208521"}, {"ref": "riquebrandao/a-journey-through-titanic", "kernel_id": "187436"}, {"ref": "riquebrandao/a-journey-through-titanic-51b7b0", "kernel_id": "187437"}, {"ref": "enricol/notebookc1043d8b04", "kernel_id": "202955"}, {"ref": "enricol/testscript", "kernel_id": "202956"}, {"ref": "dkukreja/notebook8dbbaef8b4", "kernel_id": "200600"}, {"ref": "ravitejakotha/project", "kernel_id": "226107"}, {"ref": "nancyquan/a-journey-through-titanic", "kernel_id": "187512"}, {"ref": "nancyquan/a-journey-through-titanic-83aff6", "kernel_id": "196698"}, {"ref": "nancyquan/a-journey-through-titanic-34dbd1", "kernel_id": "196699"}, {"ref": "avinashvarma/titanic-random-forest-82-78", "kernel_id": "189248"}, {"ref": "nemzzy/notebook13bbf35d3c", "kernel_id": "195432"}, {"ref": "divakar239/survive-the-titanic", "kernel_id": "258431"}, {"ref": "pyobro/notebook95acea96c6", "kernel_id": "211203"}, {"ref": "pyobro/titanic-survival-classification", "kernel_id": "211229"}, {"ref": "roblescoulter/notebookabff1badeb", "kernel_id": "232168"}, {"ref": "jindongwang92/introduction-to-ensembling-stacking-in-python", "kernel_id": "188444"}, {"ref": "kagroid/titanic-ml-tutorial", "kernel_id": "214222"}, {"ref": "michaelwweathers/notebookb5893ef4e6", "kernel_id": "188421"}, {"ref": "anuragrallabandi/titanic-data-science-solutions", "kernel_id": "187783"}, {"ref": "kengos/titanic-data-science-solutions", "kernel_id": "235254"}, {"ref": "rivership/notebook1bc030624c", "kernel_id": "191921"}, {"ref": "tarunchoubisa/exploration", "kernel_id": "187920"}, {"ref": "tarunchoubisa/a-journey-through-titanic", "kernel_id": "187929"}, {"ref": "tangjm/titanic", "kernel_id": "271402"}, {"ref": "tangjm/a-journey-through-titanic", "kernel_id": "188416"}, {"ref": "sunv911/titanic-random-forest-82-78", "kernel_id": "188575"}, {"ref": "sunv911/titanic-random-forest-82-78-02bae0", "kernel_id": "188577"}, {"ref": "flyvemaskine/notebookb86f4ebe0b", "kernel_id": "221494"}, {"ref": "simonshen/notebook4dc726d7ae", "kernel_id": "188130"}, {"ref": "dimalo/introduction-to-ensembling-stacking-in-python", "kernel_id": "188385"}, {"ref": "kbrrrr0/a-journey-through-titanic-ed820d", "kernel_id": "225914"}, {"ref": "veer23/notebook55c98ff45b", "kernel_id": "195690"}, {"ref": "datagrill/getting-started-with-sklearn", "kernel_id": "848216"}, {"ref": "javiec/notebook49463085f5", "kernel_id": "188350"}, {"ref": "randomelement/notebook22be8ad550", "kernel_id": "188531"}, {"ref": "avaysburd/test1", "kernel_id": "188483"}, {"ref": "avaysburd/notebookfb6bd7e3a1", "kernel_id": "188485"}, {"ref": "vchiluvuri/py-titanic-ml-from-disaster", "kernel_id": "190106"}, {"ref": "vchiluvuri/test-titanic", "kernel_id": "189224"}, {"ref": "vchiluvuri/exploring-survival-on-the-titanic", "kernel_id": "189180"}, {"ref": "vchiluvuri/titanic-data-science-solutions", "kernel_id": "189169"}, {"ref": "vchiluvuri/all-modularized", "kernel_id": "189191"}, {"ref": "vchiluvuri/pytitanic", "kernel_id": "189110"}, {"ref": "vchiluvuri/fork-of-pytitanic", "kernel_id": "189138"}, {"ref": "vchiluvuri/titanic-best-working-classifier", "kernel_id": "189429"}, {"ref": "daleihonei/a-journey-through-titanic", "kernel_id": "188528"}, {"ref": "huayra007/notebookde4ca5c0e5", "kernel_id": "228772"}, {"ref": "krishnaparvatha/ranregone", "kernel_id": "189405"}, {"ref": "krishnaparvatha/randomtitanicone", "kernel_id": "189380"}, {"ref": "krishnaparvatha/randomtitanictwo", "kernel_id": "189392"}, {"ref": "krishnaparvatha/titanicone", "kernel_id": "189303"}, {"ref": "krishnaparvatha/notebook1c50759cc5", "kernel_id": "189289"}, {"ref": "boiior/titanic-data-science-solutions", "kernel_id": "189790"}, {"ref": "boiior/exploring-survival-on-the-titanic", "kernel_id": "189784"}, {"ref": "nyanpass/a-journey-through-titanic", "kernel_id": "188810"}, {"ref": "srisuhasini/machine-learning-first-project-titanic", "kernel_id": "395793"}, {"ref": "typiglet/a-journey-through-titanic", "kernel_id": "188636"}, {"ref": "nakram/notebookbf34f9a61e", "kernel_id": "188657"}, {"ref": "kuixui/introduction-to-ensembling-stacking-in-python", "kernel_id": "188788"}, {"ref": "geosko/titanic-random-forest", "kernel_id": "268532"}, {"ref": "thecalabrian/a-journey-through-titanic", "kernel_id": "193118"}, {"ref": "sittapong/notebook5c62124ff9", "kernel_id": "188855"}, {"ref": "ramiazmi/notebook7f45dde7a5", "kernel_id": "263989"}, {"ref": "ramiazmi/prediction-survival-from-the-disaster", "kernel_id": "263990"}, {"ref": "ramiazmi/fork-of-prediction-survival-from-the-disaster", "kernel_id": "263991"}, {"ref": "ramiazmi/titanic-prediction-project", "kernel_id": "263994"}, {"ref": "ergee42/notebook85bc53c91b", "kernel_id": "188728"}, {"ref": "venkadeshk/titanic-machine-learning-disaster", "kernel_id": "227744"}, {"ref": "venkadeshk/titanic-machine-learning", "kernel_id": "226589"}, {"ref": "bocaiwen/notebook10a15f6c20", "kernel_id": "204934"}, {"ref": "bocaiwen/notebookd117171736", "kernel_id": "204936"}, {"ref": "thamagame/titanic-with-learning-curves", "kernel_id": "194488"}, {"ref": "thamagame/notebook91ee3dd0c7", "kernel_id": "194471"}, {"ref": "hyzyzs/a-journey-through-titanic", "kernel_id": "194148"}, {"ref": "aayham/notebookf207449ef5", "kernel_id": "202423"}, {"ref": "dickysudiro/an-interactive-data-science-tutorial-1d9054", "kernel_id": "228605"}, {"ref": "dickysudiro/notebook8e9f3a7191", "kernel_id": "233060"}, {"ref": "himanish2006/notebook8b3a25610f", "kernel_id": "234681"}, {"ref": "himanish2006/titanic-dataset", "kernel_id": "234682"}, {"ref": "slepov/notebookee14d4a5c6", "kernel_id": "188859"}, {"ref": "mikeacuna/notebook53d969b092", "kernel_id": "188883"}, {"ref": "helmondio/notebookd36f2ab98b", "kernel_id": "189292"}, {"ref": "vivivi/notebook6453dae880", "kernel_id": "189013"}, {"ref": "suryavamsi/titanic-top-4-with-ensemble-modeling-6beaf3", "kernel_id": "387776"}, {"ref": "laking10/simple-decision-tree-for-the-titanic-dataset", "kernel_id": "193167"}, {"ref": "prateekshankar/notebookb34b45bbb5", "kernel_id": "189032"}, {"ref": "tracyb/notebookf55f5d5eb9", "kernel_id": "189320"}, {"ref": "tracyb/titanic-randomforest", "kernel_id": "190424"}, {"ref": "thomasbriner/notebookfa00eb1095", "kernel_id": "189042"}, {"ref": "henrym624/notebook6abb37c60c", "kernel_id": "199854"}, {"ref": "lhzhu91/titanic", "kernel_id": "214066"}, {"ref": "gregman/titanic-data-exploration", "kernel_id": "189208"}, {"ref": "doraditya/notebookda97ebc3ae", "kernel_id": "190080"}, {"ref": "lmerlina/titanic-data-science-solutions", "kernel_id": "189496"}, {"ref": "kerenxu/a-journey-through-titanic-0b994f", "kernel_id": "192878"}, {"ref": "kerenxu/a-journey-through-titanic-b73674", "kernel_id": "192572"}, {"ref": "kerenxu/a-journey-through-titanic", "kernel_id": "192554"}, {"ref": "plustar/introduction-to-ensembling-stacking-in-python", "kernel_id": "189566"}, {"ref": "ckataki/titanic-tutorial-feature-selection", "kernel_id": "189368"}, {"ref": "zcfightings/introduction-to-ensembling-stacking-in-pyth-9e0e7e", "kernel_id": "277695"}, {"ref": "ykatou/notebook871159494d", "kernel_id": "200319"}, {"ref": "ykatou/tests", "kernel_id": "203013"}, {"ref": "n23sharm/exploring-survival-on-the-titanic", "kernel_id": "190598"}, {"ref": "databy/a-journey-through-titanic", "kernel_id": "193836"}, {"ref": "fvangilst/random-forest-benchmark-r", "kernel_id": "192802"}, {"ref": "matiashf/notebook20998f150a", "kernel_id": "228771"}, {"ref": "matiashf/notebookca3f5d7584", "kernel_id": "248546"}, {"ref": "matiashf/notebooka2fd1573cd", "kernel_id": "248547"}, {"ref": "gomoku/my-first-of-kaggle", "kernel_id": "210709"}, {"ref": "gomoku/fork-of-my-first-of-kaggle", "kernel_id": "210737"}, {"ref": "gomoku/notebook82d1a254a9", "kernel_id": "210742"}, {"ref": "gomoku/my-project", "kernel_id": "211173"}, {"ref": "gomoku/notebook94aef35623", "kernel_id": "246600"}, {"ref": "luanho/titanic-challange-how-to-start", "kernel_id": "304255"}, {"ref": "willcheu/notebookc04e151f51", "kernel_id": "189871"}, {"ref": "willcheu/fork-of-a-journey-through-titanic-6343eall", "kernel_id": "195243"}, {"ref": "willcheu/a-journey-through-titanic", "kernel_id": "195219"}, {"ref": "dzianisradziukou/an-interactive-data-science-tutorial", "kernel_id": "201659"}, {"ref": "bobbin28/titanic-data-science-solutions", "kernel_id": "189763"}, {"ref": "darrenzeng/a-journey-through-titanic", "kernel_id": "192893"}, {"ref": "dlla285/titanic", "kernel_id": "368115"}, {"ref": "aivenion/refactored-copypasta-with-0-8-accuracy", "kernel_id": "515764"}, {"ref": "emj777/decision-tree-titanic-r", "kernel_id": "255554"}, {"ref": "schmitzi/0-808-with-simple-stacking", "kernel_id": "251489"}, {"ref": "schmitzi/cleaning-titanic-data-and-running-scikitlearn", "kernel_id": "207608"}, {"ref": "schmitzi/titanic-data-cleaning", "kernel_id": "206344"}, {"ref": "arunkrajput/belfast-titanic", "kernel_id": "235091"}, {"ref": "themagikcow/data-exploration-and-model-generation", "kernel_id": "191179"}, {"ref": "anguscc/a-journey-through-titanic", "kernel_id": "189969"}, {"ref": "anguscc/a-journey-through-titanic-0c27c9", "kernel_id": "192163"}, {"ref": "anguscc/a-journey-through-titanic-61d991", "kernel_id": "192134"}, {"ref": "anguscc/fork-of-a-journey-through-titanic-61d991", "kernel_id": "192141"}, {"ref": "anguscc/a-journey-through-titanic-f8edac", "kernel_id": "194240"}, {"ref": "anguscc/fork-of-a-journey-through-titanic-90a116", "kernel_id": "194243"}, {"ref": "anguscc/a-journey-through-titanic-3f49c6", "kernel_id": "194247"}, {"ref": "anguscc/a-journey-through-titanic-90a116", "kernel_id": "194238"}, {"ref": "anguscc/a-journey-through-titanic-2268c7", "kernel_id": "194287"}, {"ref": "anguscc/a-journey-through-titanic-57e1d4", "kernel_id": "194292"}, {"ref": "anguscc/a-journey-through-titanic-c372cf", "kernel_id": "194266"}, {"ref": "anguscc/a-journey-through-titanic-e33b1f", "kernel_id": "197191"}, {"ref": "rachelgagnon/a-journey-through-titanic-447a52", "kernel_id": "197192"}, {"ref": "rachelgagnon/fork-of-a-journey-through-titanic-6ed87d-0b912e", "kernel_id": "194277"}, {"ref": "rachelgagnon/fork-of-a-journey-through-titanic-6ed87d", "kernel_id": "194251"}, {"ref": "rachelgagnon/a-journey-through-titanic-6ed87d", "kernel_id": "192143"}, {"ref": "rachelgagnon/a-journey-through-titanic", "kernel_id": "189968"}, {"ref": "ninetwo/a-journey-through-titanic", "kernel_id": "189972"}, {"ref": "ninetwo/a-journey-through-titanic-7719e1", "kernel_id": "192172"}, {"ref": "ninetwo/fork-of-a-journey-through-titanic-e148ac", "kernel_id": "194253"}, {"ref": "ninetwo/a-journey-through-titanic-e148ac", "kernel_id": "194239"}, {"ref": "ninetwo/a-journey-through-titanic-20c045", "kernel_id": "194272"}, {"ref": "ninetwo/a-journey-through-titanic-d8741f", "kernel_id": "194285"}, {"ref": "ninetwo/fork-of-a-journey-through-titanic-20c045", "kernel_id": "194281"}, {"ref": "ninetwo/a-journey-through-titanic-b13059", "kernel_id": "194291"}, {"ref": "ninetwo/a-journey-through-titanic-e51832", "kernel_id": "197201"}, {"ref": "ninetwo/fork-of-a-journey-through-titanic-d8741f-7b0042", "kernel_id": "213273"}, {"ref": "ninetwo/fork-of-a-journey-through-titanic-d8741f-6a891c", "kernel_id": "213264"}, {"ref": "ninetwo/fork-of-fork-of-a-journey-through-titanic-d8741f-7", "kernel_id": "213290"}, {"ref": "ninetwo/fork-of-fork-of-a-journey-through-titanic-d-439e6a", "kernel_id": "213308"}, {"ref": "ninetwo/fork-of-fork-of-a-journey-through-titanic-d8741f-1", "kernel_id": "213294"}, {"ref": "ninetwo/fork-of-fork-of-fork-of-a-journey-through-t-b51ded", "kernel_id": "213299"}, {"ref": "ninetwo/fork-of-a-journey-through-titanic-d8741f-1f7fdd", "kernel_id": "211509"}, {"ref": "ninetwo/fork-of-fork-of-a-journey-through-titanic-d8741f", "kernel_id": "209874"}, {"ref": "ninetwo/fork-of-fork-of-fork-of-a-journey-through-titanic", "kernel_id": "209881"}, {"ref": "ninetwo/fork-of-a-journey-through-titanic-d8741f", "kernel_id": "209862"}, {"ref": "carolinej/a-journey-through-titanic-131509", "kernel_id": "194245"}, {"ref": "carolinej/fork-of-a-journey-through-titanic-110988", "kernel_id": "192154"}, {"ref": "carolinej/fork-of-fork-of-a-journey-through-titanic-110988", "kernel_id": "192161"}, {"ref": "carolinej/a-journey-through-titanic-110988", "kernel_id": "192147"}, {"ref": "carolinej/a-journey-through-titanic", "kernel_id": "189974"}, {"ref": "milind270989/notebook6ceff19acb", "kernel_id": "236763"}, {"ref": "zubairrauf/notebook9d95734bdd", "kernel_id": "190146"}, {"ref": "zubairrauf/titanic", "kernel_id": "196642"}, {"ref": "songyh6320/titanic-binary-classification", "kernel_id": "209958"}, {"ref": "qqqqqq645/asdfjhgjgh", "kernel_id": "190142"}, {"ref": "kiralt/notebookf821009534", "kernel_id": "279240"}, {"ref": "ruskywow/titanictest", "kernel_id": "224687"}, {"ref": "jemord91/a-journey-through-titanic", "kernel_id": "190287"}, {"ref": "jemord91/a-journey-through-titanic-b7fa23", "kernel_id": "190325"}, {"ref": "megwang93/notebook39c462980a", "kernel_id": "213791"}, {"ref": "caleblau/predicting-survival-on-the-titanic", "kernel_id": "195153"}, {"ref": "sunnyzhehanzhu/titanic", "kernel_id": "190396"}, {"ref": "vigorosity/titanic-problem", "kernel_id": "190519"}, {"ref": "vigorosity/notebook8a28f3c2b1", "kernel_id": "191095"}, {"ref": "mpastore/my-first-notebook-titanic-predictions", "kernel_id": "202397"}, {"ref": "mpastore/scikit-learn-ml-from-start-to-finish", "kernel_id": "202474"}, {"ref": "piyushaagl/a-journey-through-titanic", "kernel_id": "190531"}, {"ref": "wx854811200/exploring-survival-on-the-titanic", "kernel_id": "191683"}, {"ref": "chenjiaying/chentest", "kernel_id": "190614"}, {"ref": "ellenzhang/ellen", "kernel_id": "197949"}, {"ref": "thinesh/1w2345", "kernel_id": "190717"}, {"ref": "legionerkz/notebook6bc716cb53", "kernel_id": "190605"}, {"ref": "legionerkz/titanic", "kernel_id": "190606"}, {"ref": "legionerkz/titan", "kernel_id": "191052"}, {"ref": "justinlieber/titanic", "kernel_id": "190645"}, {"ref": "justinlieber/titanic-data-science-solutions", "kernel_id": "190658"}, {"ref": "justinlieber/justin-playing-around", "kernel_id": "231087"}, {"ref": "justinlieber/justin-titanic-data-science-solutions", "kernel_id": "231074"}, {"ref": "cameling/notebooke8f6a2c05f", "kernel_id": "202932"}, {"ref": "hansjang/titanic-data-science-solutions", "kernel_id": "190726"}, {"ref": "sreeharisoma/notebook10bd818d1a", "kernel_id": "216562"}, {"ref": "sreeharisoma/notebookcc1fc80d4a", "kernel_id": "216569"}, {"ref": "divasverma/finding-missing-boarding-details", "kernel_id": "222192"}, {"ref": "hippoliebecoding/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "190729"}, {"ref": "wittfabian/notebook2654bb6993", "kernel_id": "260483"}, {"ref": "leonfl/notebook2de083eab1", "kernel_id": "217984"}, {"ref": "monkebai/introduction-to-ensembling-stacking-in-python", "kernel_id": "280367"}, {"ref": "hska97/notebookd686ed17eb", "kernel_id": "226391"}, {"ref": "hska97/notebook572f7b646b", "kernel_id": "226392"}, {"ref": "liyenhsu/titanic-neural-network", "kernel_id": "284136"}, {"ref": "weirdforce/test-python", "kernel_id": "191806"}, {"ref": "weirdforce/r-test", "kernel_id": "194789"}, {"ref": "novatena/a-journey-through-titanic", "kernel_id": "190924"}, {"ref": "novatena/a-journey-through-titanic-f6df1b", "kernel_id": "192845"}, {"ref": "gopalsasanka/titanic-data-science-solutions", "kernel_id": "191120"}, {"ref": "hugoivan/notebook025e0f61df", "kernel_id": "234372"}, {"ref": "kaju06/exploring-survival-on-the-titanic", "kernel_id": "191073"}, {"ref": "sebask/mlpclassifier-for-titanic-data", "kernel_id": "191151"}, {"ref": "sebask/decision-tree-for-titanic-data", "kernel_id": "192121"}, {"ref": "sebask/random-forest-with-better-wrangled-data", "kernel_id": "194392"}, {"ref": "sebask/investigating-the-titanic-dataset", "kernel_id": "322702"}, {"ref": "apurve/axd-notebook", "kernel_id": "191917"}, {"ref": "swethag/titanic-data-science-solutions", "kernel_id": "202599"}, {"ref": "renoghaffur/titanic", "kernel_id": "227409"}, {"ref": "izaxon/a-journey-through-titanic", "kernel_id": "204528"}, {"ref": "emohat1r/notebook90f7ace490", "kernel_id": "208784"}, {"ref": "cgangwar1/notebookfd741e16f0", "kernel_id": "225441"}, {"ref": "ledvic/notebookf4f3e00f71", "kernel_id": "191253"}, {"ref": "parthkhandelwal38/titanic-predicting-the-survivors", "kernel_id": "192180"}, {"ref": "aurelc1997/notebook0de3d5df34", "kernel_id": "202443"}, {"ref": "dmilla/titanic-data-science-solutions", "kernel_id": "191244"}, {"ref": "dmilla/titanic-data-science-solutions-2e54f7", "kernel_id": "191248"}, {"ref": "dmilla/introduction-to-decision-trees-titanic-dataset", "kernel_id": "191323"}, {"ref": "orih10/titanic-competition-logistic-regression-and-sgd", "kernel_id": "446307"}, {"ref": "kpgarg/notebook4f4ad098b7", "kernel_id": "194195"}, {"ref": "parksw3/notebook6465f9d270", "kernel_id": "191521"}, {"ref": "meatgrinder/titanic", "kernel_id": "255332"}, {"ref": "anafernanda/titanic-data-science-solutions-f740ac", "kernel_id": "193124"}, {"ref": "miteshree/notebookd939e42e9d", "kernel_id": "195655"}, {"ref": "mukhes3/a-journey-through-titanic", "kernel_id": "196685"}, {"ref": "pweisd/introduction-to-ensembling-stacking-in-python", "kernel_id": "191375"}, {"ref": "pweisd/titanic-random-forest-82-78", "kernel_id": "191396"}, {"ref": "orafanunes/notebook19e4844e3f", "kernel_id": "236457"}, {"ref": "petersantoso94/introduction-to-ensembling-stacking-in-python", "kernel_id": "193023"}, {"ref": "mattboyd/notebookc11f515d9c", "kernel_id": "191667"}, {"ref": "sherry6061471016/a-journey-through-titanic", "kernel_id": "192527"}, {"ref": "youfar/xgboost-example-python-test", "kernel_id": "191544"}, {"ref": "subhamkeshri/notebookeee6d8969e", "kernel_id": "223267"}, {"ref": "jhyoocoder/a-journey-through-titanic", "kernel_id": "192703"}, {"ref": "kvera40/test-run-1", "kernel_id": "195327"}, {"ref": "kittyanu/test11", "kernel_id": "191922"}, {"ref": "ahusseinrgb/notebook7da08478dc", "kernel_id": "191662"}, {"ref": "sudhir221292/a-journey-through-titanic", "kernel_id": "191621"}, {"ref": "mehul191990/notebookd424176b03", "kernel_id": "191630"}, {"ref": "swzheng/notebook3fa81589f6", "kernel_id": "218251"}, {"ref": "humorouslyyours/starter-pack", "kernel_id": "269719"}, {"ref": "leophan/notebook6c96e88d51", "kernel_id": "191663"}, {"ref": "manasvee1/titanic", "kernel_id": "985604"}, {"ref": "aditikaushik/exploring-survival-on-the-titanic", "kernel_id": "219562"}, {"ref": "carlosroca/notebookafc4c40b65", "kernel_id": "191730"}, {"ref": "fujimi/notebookd377b1abae", "kernel_id": "409698"}, {"ref": "fujimi/nuagix-will-go-on", "kernel_id": "390873"}, {"ref": "metiuuu/banana", "kernel_id": "202700"}, {"ref": "sunilgananath/notebook60caf85551", "kernel_id": "191833"}, {"ref": "duanzhizhao/notebookd63602391b", "kernel_id": "211262"}, {"ref": "duanzhizhao/notebookf489ac2eed", "kernel_id": "211265"}, {"ref": "duanzhizhao/notebook32807b7cab", "kernel_id": "208831"}, {"ref": "duanzhizhao/notebook18769634ba", "kernel_id": "208832"}, {"ref": "duanzhizhao/notebook4c6f0ec868", "kernel_id": "208810"}, {"ref": "ricalm/notebooke6248199b8", "kernel_id": "194651"}, {"ref": "ricalm/notebook66aec533fd", "kernel_id": "194652"}, {"ref": "samouraialgerien/notebook3624c8b73f", "kernel_id": "207569"}, {"ref": "massimobedini/notebookd1bedc22ea", "kernel_id": "192031"}, {"ref": "massimobedini/notebook539b5f7b09", "kernel_id": "192042"}, {"ref": "taka152/notebook13d613797e", "kernel_id": "274350"}, {"ref": "cedricspec/afffqzqzf", "kernel_id": "192102"}, {"ref": "emachado94/fork-of-a-journey-through-titanic", "kernel_id": "213260"}, {"ref": "emachado94/a-journey-through-titanic-60d409", "kernel_id": "194237"}, {"ref": "emachado94/a-journey-through-titanic-c8c175", "kernel_id": "194249"}, {"ref": "emachado94/a-journey-through-titanic-618f06", "kernel_id": "194256"}, {"ref": "emachado94/a-journey-through-titanic-d7ce4a", "kernel_id": "192164"}, {"ref": "emachado94/a-journey-through-titanic-cf352f", "kernel_id": "192155"}, {"ref": "emachado94/a-journey-through-titanic", "kernel_id": "192152"}, {"ref": "emachado94/a-journey-through-titanic-809a45", "kernel_id": "196354"}, {"ref": "emachado94/a-journey-through-titanic-597499", "kernel_id": "196355"}, {"ref": "emachado94/fork-of-a-journey-through-titanic-597499", "kernel_id": "196361"}, {"ref": "emachado94/fork-of-a-journey-through-titanic-b15c8c", "kernel_id": "196349"}, {"ref": "emachado94/a-journey-through-titanic-cc0dcf", "kernel_id": "196350"}, {"ref": "emachado94/a-journey-through-titanic-63ca82", "kernel_id": "194297"}, {"ref": "emachado94/a-journey-through-titanic-b15c8c", "kernel_id": "194301"}, {"ref": "emachado94/a-journey-through-titanic-825b69", "kernel_id": "194274"}, {"ref": "emachado94/a-journey-through-titanic-43954d", "kernel_id": "194265"}, {"ref": "emachado94/a-journey-through-titanic-a199a4", "kernel_id": "194271"}, {"ref": "emachado94/fork-of-a-journey", "kernel_id": "199826"}, {"ref": "emachado94/fork-of-fork-of-a-journey-through-titanic-3ed4c5", "kernel_id": "199536"}, {"ref": "emachado94/fork-of-fork-of-fork-of-a-journey-through-titanic", "kernel_id": "199575"}, {"ref": "emachado94/fork-of-fork-of-fork-of-fork-of-a-journey-through", "kernel_id": "199815"}, {"ref": "emachado94/a-journey-through-titanic-3ed4c5", "kernel_id": "197215"}, {"ref": "emachado94/fork-of-a-journey-through-titanic-3ed4c5", "kernel_id": "197241"}, {"ref": "emachado94/a-journey-through-titanic-fc4e5c", "kernel_id": "197207"}, {"ref": "emachado94/a-journey-through-titanic-da4ae4", "kernel_id": "197188"}, {"ref": "emachado94/fork-of-fork-of-a-journey", "kernel_id": "202406"}, {"ref": "emachado94/fork-of-fork-of-a-journey-20dd2f", "kernel_id": "202408"}, {"ref": "emachado94/fork-of-a-journey-through-titanic-e3cca2", "kernel_id": "244080"}, {"ref": "emachado94/fork-of-a-journey-through-titanic-891107", "kernel_id": "245616"}, {"ref": "jnecus/titanic-data-science-solutions", "kernel_id": "203199"}, {"ref": "dhedin/notebook3d2b35db69", "kernel_id": "201460"}, {"ref": "yuankunx/a-journey-through-titanic", "kernel_id": "192213"}, {"ref": "stevezhenghp/notebookb7bba524d7", "kernel_id": "192257"}, {"ref": "stevezhenghp/asdfad", "kernel_id": "192258"}, {"ref": "stevezhenghp/a-journey-through-titanic", "kernel_id": "192255"}, {"ref": "julham/notebook17b679f4a2", "kernel_id": "192516"}, {"ref": "swabuu/notebook2aae2c5337", "kernel_id": "202281"}, {"ref": "sorrow/first", "kernel_id": "192276"}, {"ref": "jenn738/a-journey-through-titanic", "kernel_id": "192316"}, {"ref": "ashutoshds/titanic-rf-prediction-0-81818", "kernel_id": "245464"}, {"ref": "caixin89/a-journey-through-titanic-forked", "kernel_id": "192337"}, {"ref": "caixin89/first-notebook", "kernel_id": "192347"}, {"ref": "luantruong210/titanic-data-science-solutions", "kernel_id": "219439"}, {"ref": "luantruong210/test-titanic", "kernel_id": "217947"}, {"ref": "tdenema1/notebook97a7f99035", "kernel_id": "192552"}, {"ref": "christophe001/notebookbf06b0273d", "kernel_id": "236868"}, {"ref": "mackderm/notebook170c9a4a9a", "kernel_id": "194706"}, {"ref": "tkymkb/a-journey-through-titanic", "kernel_id": "192515"}, {"ref": "r3khaan/lolab", "kernel_id": "234783"}, {"ref": "matheushjs/my-sandbox", "kernel_id": "211073"}, {"ref": "chenminjie/notebookaf72e02f3c", "kernel_id": "225331"}, {"ref": "marcelomalcher/testing", "kernel_id": "208165"}, {"ref": "marcelomalcher/notebookf9d361a79c", "kernel_id": "208205"}, {"ref": "slackhaywood/an-interactive-data-science-tutorial", "kernel_id": "234865"}, {"ref": "kent1224/notebookd7af872143", "kernel_id": "206004"}, {"ref": "bacoozh/notebook15ccdb4805", "kernel_id": "192877"}, {"ref": "zmalqp3005/notebook1ece8f82e2", "kernel_id": "224506"}, {"ref": "chitralc1/survived-prediction-supervised-learning", "kernel_id": "554128"}, {"ref": "jordimen/titanic-data-science-solutions", "kernel_id": "201679"}, {"ref": "jordimen/my-first-script", "kernel_id": "201677"}, {"ref": "tonyuan/titanic-survival-exploration", "kernel_id": "293765"}, {"ref": "krajasek/titanic-ml-tutorial", "kernel_id": "288982"}, {"ref": "krajasek/titanic", "kernel_id": "240782"}, {"ref": "denisscha/exploring-survival-on-the-titanic", "kernel_id": "192793"}, {"ref": "doubleia/a-journey-through-titanic", "kernel_id": "192949"}, {"ref": "bolanleegbedokun/notebookea5bea76ec", "kernel_id": "197977"}, {"ref": "bolanleegbedokun/notebookc17feb8175", "kernel_id": "211435"}, {"ref": "bolanleegbedokun/str-train", "kernel_id": "211437"}, {"ref": "bolanleegbedokun/notebook87e762cb81", "kernel_id": "209689"}, {"ref": "last09/notebooka7c834c3e5", "kernel_id": "246684"}, {"ref": "last09/newtest", "kernel_id": "246787"}, {"ref": "last09/notebook3e35e8e0fc", "kernel_id": "246793"}, {"ref": "ndksimplice/notebookea0f9da059", "kernel_id": "240662"}, {"ref": "yikoudreams/introduction-to-ensembling-stacking-in-python", "kernel_id": "195492"}, {"ref": "yikoudreams/a-journey-through-titanic-28cae7", "kernel_id": "195486"}, {"ref": "yikoudreams/a-journey-through-titanic", "kernel_id": "194958"}, {"ref": "yikoudreams/titanic-data-mining", "kernel_id": "194955"}, {"ref": "lizhenmxcz/introduction-to-ensembling-stacking-in-python", "kernel_id": "192952"}, {"ref": "pavel79/notebook2a16e2b71d", "kernel_id": "225105"}, {"ref": "anantupadhyay/a-journey-through-titanic", "kernel_id": "193703"}, {"ref": "huangye/1111111", "kernel_id": "204166"}, {"ref": "huangye/from-sklearn-tree-import-decisiontreeclassifier", "kernel_id": "205403"}, {"ref": "leander/a-journey-through-titanic", "kernel_id": "192984"}, {"ref": "leander/notebooke5a69ca4f5", "kernel_id": "192993"}, {"ref": "hexiaolei/notebook6bd67ec11b", "kernel_id": "240958"}, {"ref": "iamfei/notebook5a96c83298", "kernel_id": "203704"}, {"ref": "iamfei/notebook850c3e4eb7", "kernel_id": "200973"}, {"ref": "iamfei/notebookb6fc6313b0", "kernel_id": "198963"}, {"ref": "shilpisen/test-script", "kernel_id": "259503"}, {"ref": "xchookie/notebook6641b2da5b", "kernel_id": "193043"}, {"ref": "bjaeck/survival-with-different-models", "kernel_id": "262418"}, {"ref": "jjj8080/notebookfee8043a0d", "kernel_id": "193151"}, {"ref": "saisaokham/titanicpractice", "kernel_id": "220698"}, {"ref": "lordx3nu/first-try-at-predicting", "kernel_id": "193219"}, {"ref": "lordx3nu/notebook39a87263dd", "kernel_id": "193225"}, {"ref": "zsrahmati/test-on-dm1", "kernel_id": "197310"}, {"ref": "lukaszs/notebook3e7b48560c", "kernel_id": "269413"}, {"ref": "lukaszs/mytry", "kernel_id": "269417"}, {"ref": "rounakbanik/the-titanic-problem", "kernel_id": "359728"}, {"ref": "lordaltair/a-journey-through-titanic", "kernel_id": "193359"}, {"ref": "anupkumargupta/a-journey-through-titanic", "kernel_id": "196775"}, {"ref": "woxinxie1234/notebook10aaa45b86", "kernel_id": "202236"}, {"ref": "hackerkid/notebooka721ebe98a", "kernel_id": "209662"}, {"ref": "manraj/notebook525ba13fb9", "kernel_id": "193433"}, {"ref": "manraj/notebookb4c4fef582", "kernel_id": "193439"}, {"ref": "rickeyboy/introduction-to-ensembling-stacking-in-python", "kernel_id": "193563"}, {"ref": "liantest/introduction-to-ensembling-stacking-in-python", "kernel_id": "193792"}, {"ref": "natigali/notebookd188a4ac5f", "kernel_id": "193591"}, {"ref": "greyamber/titanic-best-working-classifier", "kernel_id": "197097"}, {"ref": "rajath95/notebook200d9c14ec", "kernel_id": "193665"}, {"ref": "rajath95/green11", "kernel_id": "193954"}, {"ref": "cherie123/notebookd22fe6aae6", "kernel_id": "202082"}, {"ref": "cherie123/notebook4fd8d00012", "kernel_id": "202083"}, {"ref": "cherie123/notebook6ba197a51e", "kernel_id": "202080"}, {"ref": "cherie123/notebooke0cceeb330", "kernel_id": "209603"}, {"ref": "cherie123/notebookee84ce4be7", "kernel_id": "216240"}, {"ref": "torkar1/titanic-data-science-solutions", "kernel_id": "193970"}, {"ref": "torkar1/exploring-survival-on-the-titanic", "kernel_id": "193683"}, {"ref": "layo123/notebook45d884c6c8", "kernel_id": "263270"}, {"ref": "parulpriya/notebook0428a896d7", "kernel_id": "234825"}, {"ref": "parulpriya/will-i-survive", "kernel_id": "234800"}, {"ref": "rnolan/introduction-to-ensembling-stacking-in-python", "kernel_id": "194766"}, {"ref": "rnolan/introduction-to-ensembling-stacking-in-pyth-673f2d", "kernel_id": "195337"}, {"ref": "arunbala/notebook43380f679b", "kernel_id": "193695"}, {"ref": "psr1998/exploring-the-titanic", "kernel_id": "282810"}, {"ref": "nudter/a-journey-through-titanic", "kernel_id": "193788"}, {"ref": "bh895970/notebook3ef7360a3e", "kernel_id": "208676"}, {"ref": "ianchute/notebook4c7f1dccc2", "kernel_id": "194870"}, {"ref": "vkgpt11/analytical-approach-to-titanic-survival", "kernel_id": "347819"}, {"ref": "jainprerna/notebookcd4f79dbb3", "kernel_id": "221636"}, {"ref": "jackiezhao/notebook6fc66bb941", "kernel_id": "193852"}, {"ref": "jackiezhao/jackiezhao-titanic", "kernel_id": "196897"}, {"ref": "jackiezhao/jackiezhao-titanic-vote-by-xgboost", "kernel_id": "197790"}, {"ref": "jackiezhao/notebook5b9f5fabb9", "kernel_id": "204328"}, {"ref": "jackiezhao/xgboost-v2", "kernel_id": "204332"}, {"ref": "allan2900936/notebook6616d448e8", "kernel_id": "193884"}, {"ref": "quxi1228/notebookee90b6a789", "kernel_id": "193871"}, {"ref": "vrajeshshah/testing-the-waters", "kernel_id": "222636"}, {"ref": "janithwanni/titanic-may-the-odds-be-in-your-favour", "kernel_id": "223239"}, {"ref": "janithwanni/a-journey-through-titanic", "kernel_id": "223240"}, {"ref": "janithwanni/titanic-a-second-dive", "kernel_id": "267091"}, {"ref": "janithwanni/titanic-a-third-dive", "kernel_id": "269208"}, {"ref": "zishankhan/notebook26a57199eb", "kernel_id": "211289"}, {"ref": "chhavisaluja/notebooka311787e26", "kernel_id": "218851"}, {"ref": "fadlanzunima/notebook650ddcb05e", "kernel_id": "206383"}, {"ref": "fadlanzunima/notebook50804666ef", "kernel_id": "206414"}, {"ref": "rendinasution96/titanic-onyo-onyo", "kernel_id": "206408"}, {"ref": "rendinasution96/notebook8fed25b9c4", "kernel_id": "206403"}, {"ref": "karakos/fork-introduction-to-ensembling-stacking", "kernel_id": "201845"}, {"ref": "karakos/notebook3dd9f481c0", "kernel_id": "202916"}, {"ref": "btabram/titanic-attempt", "kernel_id": "229654"}, {"ref": "yanglupiao/first-attempt", "kernel_id": "226368"}, {"ref": "j8jacobs/notebook3bfcd12d99", "kernel_id": "194364"}, {"ref": "vijayiitk/an-interactive-data-science-tutorial-e67527", "kernel_id": "231219"}, {"ref": "znoland1/pipelines-in-scikit-learn", "kernel_id": "444556"}, {"ref": "tanikbhole/notebook433f5094ce", "kernel_id": "195023"}, {"ref": "prasadjr7/notebook5a1c5624e9", "kernel_id": "209343"}, {"ref": "drduber/a-journey-through-titanic", "kernel_id": "194424"}, {"ref": "markphen/swimming-in-the-titanic-data-python-way", "kernel_id": "194479"}, {"ref": "chaudharishalmali/insights-into-titanic-disaster", "kernel_id": "233132"}, {"ref": "skhawaja/titanic-disaster-survival-099", "kernel_id": "218921"}, {"ref": "nazorang/exploring-survival-on-the-titanic", "kernel_id": "194528"}, {"ref": "adrianlo2323/testing", "kernel_id": "194582"}, {"ref": "dw2654/a-journey-through-titanic", "kernel_id": "194554"}, {"ref": "sunzhao/titanic-data-using-svm-estimator", "kernel_id": "196535"}, {"ref": "sunzhao/titanic-data-using-svm-estimator-21081e", "kernel_id": "196537"}, {"ref": "queenie128/a-journey-through-titanic", "kernel_id": "194748"}, {"ref": "kuprina/r-based-solution-top-10-0-80861-accuracy", "kernel_id": "358226"}, {"ref": "rjoubaud/keras-nn", "kernel_id": "194830"}, {"ref": "plarmuseau/titanic-my-way-3times-100", "kernel_id": "310415"}, {"ref": "ma9231013/notebookb2df563f1f", "kernel_id": "197938"}, {"ref": "ma9231013/notebook275d31999c", "kernel_id": "197939"}, {"ref": "astar1995/notebook66214374fa", "kernel_id": "194971"}, {"ref": "astar1995/titanic-data-analysis-tensorflow", "kernel_id": "204566"}, {"ref": "heping/notebook4dae9848e8", "kernel_id": "194951"}, {"ref": "heping/introduction-to-ensembling-stacking-in-python", "kernel_id": "195510"}, {"ref": "subhammahan/notebook5d6e09c504", "kernel_id": "196725"}, {"ref": "datascientist17/notebookc8448ce693", "kernel_id": "233099"}, {"ref": "datascientist17/rituraj17", "kernel_id": "233102"}, {"ref": "datascientist17/notebooka302fbb748", "kernel_id": "233090"}, {"ref": "datascientist17/notebook126e0382a1", "kernel_id": "231579"}, {"ref": "datascientist17/first-try", "kernel_id": "231583"}, {"ref": "jorisonkaggle/fork-of-notebook00280d2824", "kernel_id": "195879"}, {"ref": "jorisonkaggle/low-c", "kernel_id": "195881"}, {"ref": "nikkvv1/notebookb22c607643", "kernel_id": "195163"}, {"ref": "serhatarslan/a-journey-through-titanic", "kernel_id": "195227"}, {"ref": "kornelc/notebook9be5d4a6fb", "kernel_id": "195285"}, {"ref": "vikrantsingh/titanic-prediction-random-forest-lazy", "kernel_id": "195185"}, {"ref": "yogesh1314/titanic-try", "kernel_id": "201874"}, {"ref": "tdesfont/matplotlib-visualisations-for-titanic", "kernel_id": "961998"}, {"ref": "orangem4n/notebook70eadeaebd", "kernel_id": "216439"}, {"ref": "hulleywood/a-journey-through-titanic", "kernel_id": "195413"}, {"ref": "konghu/notebookdffffd29e2", "kernel_id": "204010"}, {"ref": "mrbeeblebrox/notebooke17aa95d74", "kernel_id": "203892"}, {"ref": "mrbeeblebrox/test2", "kernel_id": "209193"}, {"ref": "magnifi/titanic-survival", "kernel_id": "196078"}, {"ref": "jaythompson/notebook5398b74d89", "kernel_id": "196512"}, {"ref": "ashish13336/notebook34c74a0260", "kernel_id": "235688"}, {"ref": "aweffr/an-interactive-data-science-tutorial", "kernel_id": "195931"}, {"ref": "melsodm/melsodm", "kernel_id": "195671"}, {"ref": "melsodm/introduction-to-ensembling-stacking-in-python", "kernel_id": "195676"}, {"ref": "whitewizard/titanic-svm-py", "kernel_id": "196022"}, {"ref": "splendidjelly27581/notebook61e70bcb4c", "kernel_id": "195685"}, {"ref": "wise2kaggle/titannic", "kernel_id": "195769"}, {"ref": "wise2kaggle/notebooke1480a7bc9", "kernel_id": "195765"}, {"ref": "charlescx/notebook6a064ce7b3", "kernel_id": "210931"}, {"ref": "rosielang/test1", "kernel_id": "226557"}, {"ref": "wulinqing/titanic-data-science-solutions", "kernel_id": "208966"}, {"ref": "siroki/titanic-data-science-solutions", "kernel_id": "195869"}, {"ref": "ecarrara/notebook3dffc0cdfc", "kernel_id": "195964"}, {"ref": "ouhhh777/notebookb6cd4b12fc", "kernel_id": "208004"}, {"ref": "dennis4birl/notebook3db00de451", "kernel_id": "196951"}, {"ref": "sangarvinayak/notebook959d828a32", "kernel_id": "195938"}, {"ref": "sangarvinayak/notebookd1e37493af", "kernel_id": "205677"}, {"ref": "thehellmaker/a-journey-through-titanic", "kernel_id": "196038"}, {"ref": "florianfritz/introduction-to-ensembling-stacking-in-python", "kernel_id": "196082"}, {"ref": "mix0313/test01", "kernel_id": "196122"}, {"ref": "lamlam009/logisticregression", "kernel_id": "506515"}, {"ref": "lamlam009/tflearn", "kernel_id": "507605"}, {"ref": "lamlam009/models-for-titanic", "kernel_id": "863734"}, {"ref": "ocun88/titanic-data-science-solutions", "kernel_id": "196431"}, {"ref": "dbush30/titantic-first-time-kaggler", "kernel_id": "215191"}, {"ref": "chrisloris/notebook8242bde26e", "kernel_id": "197809"}, {"ref": "saskiavr/notebookd2bd2f54f4", "kernel_id": "204792"}, {"ref": "saskiavr/notebook63534fcb63", "kernel_id": "202254"}, {"ref": "smit072/titanic-data-science-solutions", "kernel_id": "196384"}, {"ref": "smit072/titanic-initial-test", "kernel_id": "196372"}, {"ref": "joan7510/preliminary-exploration", "kernel_id": "196674"}, {"ref": "lushdog/titanic-survival-model-w-skclassifiers-0-8", "kernel_id": "493420"}, {"ref": "jordanbishop26/titanic-logistic-regression", "kernel_id": "196898"}, {"ref": "yanjing/an-test-on-the-titanic-example-with-nn", "kernel_id": "197034"}, {"ref": "yanjing/using-nn-to-explore-this-titanic-sample", "kernel_id": "205452"}, {"ref": "yanjing/using-nn-to-explore-the-titanic-example", "kernel_id": "205487"}, {"ref": "yanjing/use-nn-to-eplore-titanic-example", "kernel_id": "206135"}, {"ref": "jakub999/notebook3c6fb5b906", "kernel_id": "196549"}, {"ref": "dmis87/simplest-solution-for-titanic", "kernel_id": "204186"}, {"ref": "mkatre/notebook1af3006e2a", "kernel_id": "196626"}, {"ref": "mkatre/notebook331d3706d5", "kernel_id": "196650"}, {"ref": "tarunbonu/notebook224c515efe", "kernel_id": "196654"}, {"ref": "lspvic/notebookb770fa4869", "kernel_id": "224541"}, {"ref": "jfzhang1995/a-guide-to-titanic-challenge", "kernel_id": "229518"}, {"ref": "ashwathranjol/titanic", "kernel_id": "219517"}, {"ref": "ashwathranjol/hello-world", "kernel_id": "219521"}, {"ref": "noremac/an-interactive-data-science-tutorial", "kernel_id": "203994"}, {"ref": "bhuvan93/xgboost", "kernel_id": "907723"}, {"ref": "bhuvan93/random-forest-classifier", "kernel_id": "847256"}, {"ref": "bhuvan93/knn-classification", "kernel_id": "785227"}, {"ref": "bhuvan93/non-linear-svm-classification", "kernel_id": "757808"}, {"ref": "kamal2611/notebookd904a16c17", "kernel_id": "227067"}, {"ref": "jianyu/titanic-test", "kernel_id": "210398"}, {"ref": "jianyu/notebookc064e27e72", "kernel_id": "210329"}, {"ref": "jianyu/notebook40a74caf9b", "kernel_id": "210340"}, {"ref": "jianyu/notebookb546705738", "kernel_id": "209798"}, {"ref": "jianyu/notebookfaef13ec6b", "kernel_id": "210325"}, {"ref": "jianyu/notebook917483901d", "kernel_id": "210322"}, {"ref": "jianyu/notebook2953944c9e", "kernel_id": "219815"}, {"ref": "jianyu/notebook6bd33913d1", "kernel_id": "219824"}, {"ref": "jianyu/notebookc07126f55b", "kernel_id": "220234"}, {"ref": "jianyu/titanic-first-submit", "kernel_id": "220735"}, {"ref": "onilster/notebook6b3726d3e3", "kernel_id": "196810"}, {"ref": "onilster/deep-for-everyone", "kernel_id": "200962"}, {"ref": "kazila/notebook3367abaeee", "kernel_id": "196845"}, {"ref": "antagomir/exploring-survival-on-the-titanic", "kernel_id": "196879"}, {"ref": "vamshi2188/notebook907c4d837b", "kernel_id": "201049"}, {"ref": "macc4013/a-journey-through-titanic", "kernel_id": "197126"}, {"ref": "utpalkant/notebook0335266943", "kernel_id": "207997"}, {"ref": "utpalkant/notebook58a158286f", "kernel_id": "207998"}, {"ref": "chenyangaibama/notebookf9638c12c2", "kernel_id": "197030"}, {"ref": "paxliver/notebooke863baf752", "kernel_id": "219203"}, {"ref": "prachimalusare/exploring-survival-on-the-titanic", "kernel_id": "268430"}, {"ref": "cosmoz/a-journey-through-titanic", "kernel_id": "197155"}, {"ref": "cosmoz/titanic-best-working-classifier-132501", "kernel_id": "203208"}, {"ref": "wikaiqi/titaniclearningqi", "kernel_id": "236940"}, {"ref": "saivamsii/notebook8b2142d9bc", "kernel_id": "197198"}, {"ref": "gwenvassy/notebook8149986eaa", "kernel_id": "197313"}, {"ref": "vikas08/notebookc4edd6499d", "kernel_id": "222205"}, {"ref": "vikas08/titanic", "kernel_id": "222166"}, {"ref": "vikas08/notebookfb56c2a5b0", "kernel_id": "222168"}, {"ref": "vikas08/notebook57c894e350", "kernel_id": "222119"}, {"ref": "drakec/notebook13c6688d5c", "kernel_id": "197358"}, {"ref": "drakec/notebook86ced45014", "kernel_id": "197486"}, {"ref": "gaoxiangak47/titanic-survival-prediction-practice", "kernel_id": "203168"}, {"ref": "gaoxiangak47/titanic-survival-forecast", "kernel_id": "211072"}, {"ref": "awgregory/test-script", "kernel_id": "235978"}, {"ref": "awgregory/test-notebook", "kernel_id": "235976"}, {"ref": "awgregory/titanic-machine-learning-from-disaster-fork", "kernel_id": "235961"}, {"ref": "zsw0625/notebook388ff4eb57", "kernel_id": "242418"}, {"ref": "zsw0625/notebook56cdb23dfe", "kernel_id": "242432"}, {"ref": "shanmughasri/exploring-survival-on-the-titanic", "kernel_id": "199178"}, {"ref": "augustccy/notebook8e29eb9ceb", "kernel_id": "202466"}, {"ref": "zcapboo/tests", "kernel_id": "209184"}, {"ref": "jlawman/complete-beginner-your-first-titanic-submission", "kernel_id": "421162"}, {"ref": "hyunbykwang/test-hb", "kernel_id": "197684"}, {"ref": "arianianiani/notebook7648b71716", "kernel_id": "197780"}, {"ref": "jennybrown/notebook0676268997", "kernel_id": "197923"}, {"ref": "jennybrown/titanic-by-jenny", "kernel_id": "197926"}, {"ref": "artyharsha5/notebookf41308d77b", "kernel_id": "197902"}, {"ref": "saurabh7390/titanic-ml", "kernel_id": "225281"}, {"ref": "saurabh7390/competition1", "kernel_id": "224834"}, {"ref": "rachelle/notebook23661da34a", "kernel_id": "229190"}, {"ref": "kazila14/notebook15cc9315a9", "kernel_id": "197948"}, {"ref": "kerymu/titanic-data-science-solutions", "kernel_id": "212347"}, {"ref": "naifanlee/predict-titanic", "kernel_id": "199102"}, {"ref": "naifanlee/notebook28d6c01919", "kernel_id": "199098"}, {"ref": "kazutan/notebook62d8f6429b", "kernel_id": "197994"}, {"ref": "kazutan/rmd-test", "kernel_id": "198003"}, {"ref": "lmyang/notebook5bc809491e", "kernel_id": "199059"}, {"ref": "divyeshjindal/notebooke7864c7360", "kernel_id": "198020"}, {"ref": "mrugank1/first1", "kernel_id": "198138"}, {"ref": "fonsies/notebook2a610b0ec0", "kernel_id": "201499"}, {"ref": "zhonglimin/notebook940d45fcf8", "kernel_id": "198179"}, {"ref": "aoifebyrne/classification-predicting-titanic-survival", "kernel_id": "204368"}, {"ref": "moritzscholz/first-try-at-titanic-problem", "kernel_id": "201600"}, {"ref": "moritzscholz/titanic-data-science-solutions", "kernel_id": "201594"}, {"ref": "neerajsomani4/titanic-survival-learning-by-raj", "kernel_id": "200651"}, {"ref": "cybertron16/a-journey-through-titanic", "kernel_id": "198573"}, {"ref": "arunkumarcea/notebookfd88aaeff2", "kernel_id": "198350"}, {"ref": "philippsp/increase-your-model-accuracy-with-this-feature", "kernel_id": "228290"}, {"ref": "philippsp/interactive-dashboards-in-r", "kernel_id": "252234"}, {"ref": "g12megha/titanic-solution", "kernel_id": "253952"}, {"ref": "g12megha/titanic", "kernel_id": "279132"}, {"ref": "g12megha/titanic-sol", "kernel_id": "279133"}, {"ref": "g12megha/titanicproblem", "kernel_id": "279135"}, {"ref": "g12megha/notebook38bb2abd7e", "kernel_id": "251250"}, {"ref": "g12megha/notebookf7164f079e", "kernel_id": "202518"}, {"ref": "griffingirl/test-ng", "kernel_id": "198640"}, {"ref": "balloonanimal/titanic-data-science-solutions", "kernel_id": "207722"}, {"ref": "cristian77/notebooked484877ec", "kernel_id": "210335"}, {"ref": "vadavila/notebookf86e07e214", "kernel_id": "229172"}, {"ref": "borda4ev/notebook269f142233", "kernel_id": "199068"}, {"ref": "priyadav/notebook99a83fa971", "kernel_id": "236514"}, {"ref": "neiljs/titanic-survival-prediction-simple", "kernel_id": "324376"}, {"ref": "wangenze/notebook0d7ece65e7", "kernel_id": "204243"}, {"ref": "wangenze/titanic-decision-tree", "kernel_id": "210587"}, {"ref": "vronsky3333/notebooke2ea5d6ffc", "kernel_id": "199293"}, {"ref": "xialuyu/notebook5fad9d4d14", "kernel_id": "254198"}, {"ref": "cholling/notebook92c981a8a9", "kernel_id": "202382"}, {"ref": "canwaals/titanic-data-science-solutions", "kernel_id": "212043"}, {"ref": "canwaals/misunderstand", "kernel_id": "211889"}, {"ref": "hbaderts/simple-feed-forward-neural-network-with-tensorflow", "kernel_id": "216700"}, {"ref": "ankschoubey/titanic-dataset", "kernel_id": "220343"}, {"ref": "levima/notebook303d8e91df", "kernel_id": "220193"}, {"ref": "levima/levi-s-titantic", "kernel_id": "199401"}, {"ref": "levima/notebookb48b604d43", "kernel_id": "199397"}, {"ref": "anthobau/random-forest-titanic", "kernel_id": "243732"}, {"ref": "yinjerry/firstscript", "kernel_id": "258849"}, {"ref": "durgeshm/notebook9f3acce055", "kernel_id": "204596"}, {"ref": "dantevitobeagland/exploring-titanic-survival-data", "kernel_id": "199505"}, {"ref": "dantevitobeagland/titanic-survival", "kernel_id": "200556"}, {"ref": "mininin222/titanic-test-1", "kernel_id": "217603"}, {"ref": "mininin222/notebook2333484b28", "kernel_id": "216839"}, {"ref": "jeshuran90/notebookd44c202b31", "kernel_id": "201581"}, {"ref": "abrzyski92/samole-random-forests", "kernel_id": "223296"}, {"ref": "accapptester/notebook0391af9adc", "kernel_id": "219699"}, {"ref": "neerajmalik/titanic-machine-learning-from-disaster", "kernel_id": "235885"}, {"ref": "gkwest/notebookc0491714d9", "kernel_id": "213537"}, {"ref": "stalwartblue/notebook7c937f2e20", "kernel_id": "220594"}, {"ref": "mkm0796/titanic-hello-world-random-forest", "kernel_id": "213980"}, {"ref": "acombray/notebook88ab787e2c", "kernel_id": "203803"}, {"ref": "tranquangan/my-first-experiment-with-kaggle", "kernel_id": "220936"}, {"ref": "fitzhua/titanic-data-science-solutions", "kernel_id": "211283"}, {"ref": "zfekede/mkag-v0001", "kernel_id": "218019"}, {"ref": "aurouaw/notebook07157d8669", "kernel_id": "208263"}, {"ref": "ttruepfep/notebooke185c74b46", "kernel_id": "200410"}, {"ref": "shyjohn/shyjohn-titanic", "kernel_id": "244741"}, {"ref": "kalthas/notebook7e65d6db6d", "kernel_id": "201670"}, {"ref": "tracetristan/beginner-in-data-science", "kernel_id": "229368"}, {"ref": "ansujjjoshi/apna-code", "kernel_id": "200524"}, {"ref": "lxghust/notebookab7144349e", "kernel_id": "200238"}, {"ref": "lxghust/notebook0ac1715ea6", "kernel_id": "200241"}, {"ref": "suntail/titanic-data-science-solutions", "kernel_id": "200679"}, {"ref": "czw123/notebook50d290efb0", "kernel_id": "229959"}, {"ref": "czw123/notebooka74806a8e9", "kernel_id": "219667"}, {"ref": "czw123/mytest2-20170325", "kernel_id": "219539"}, {"ref": "czw123/notebookdcf039ca0d", "kernel_id": "218980"}, {"ref": "czw123/mytest", "kernel_id": "218982"}, {"ref": "saisuman/notebook36a222e9fa", "kernel_id": "200262"}, {"ref": "lihao1030/titanic-exploration-notebook-0-8-score", "kernel_id": "262118"}, {"ref": "pravalsharma/notebooke5839fa75f", "kernel_id": "218881"}, {"ref": "pravalsharma/notebookff0793fafc", "kernel_id": "200297"}, {"ref": "pravalsharma/notebookc452fafa28", "kernel_id": "201649"}, {"ref": "wubingbing13/notebookce8a1f4f95", "kernel_id": "206029"}, {"ref": "wubingbing13/introduction-to-ensembling-stacking-in-python", "kernel_id": "206038"}, {"ref": "malarick/script-kernel-r", "kernel_id": "227925"}, {"ref": "albertle5/titanicfirsttry", "kernel_id": "200338"}, {"ref": "bobblegum/machine-learning-vu", "kernel_id": "205290"}, {"ref": "bhavyas/titanicbh", "kernel_id": "200356"}, {"ref": "lucianosb/notebook7c22644bac", "kernel_id": "203838"}, {"ref": "matthieu74/notebook30385f97f0", "kernel_id": "200494"}, {"ref": "pochibabu/notebook48717bcb94", "kernel_id": "208365"}, {"ref": "rganapathy/titanic-exploring-passengers-profile", "kernel_id": "258872"}, {"ref": "kolowitz/from-example", "kernel_id": "200603"}, {"ref": "harrischiu/notebookf53e8c1884", "kernel_id": "212724"}, {"ref": "cwpose/notebook15593aebd1", "kernel_id": "200605"}, {"ref": "cwpose/notebook12c38feb17", "kernel_id": "200609"}, {"ref": "cwpose/notebook18367b0741", "kernel_id": "203061"}, {"ref": "meilingliu/notebook137668c027", "kernel_id": "200602"}, {"ref": "kingpinbarracuda/minimalist-titanic", "kernel_id": "200796"}, {"ref": "kingpinbarracuda/notebook56c4b17104", "kernel_id": "215226"}, {"ref": "kaseyfr/titanic", "kernel_id": "200653"}, {"ref": "rdvelazquez/notebook0d75806a5d", "kernel_id": "200682"}, {"ref": "kmuriki/kmuriki-test", "kernel_id": "201165"}, {"ref": "kmuriki/notebook6282660331", "kernel_id": "201168"}, {"ref": "shreyd/titanic-data-science-solutions-c882ba", "kernel_id": "201311"}, {"ref": "shreyd/an-interactive-data-science-tutorial-4175c6", "kernel_id": "200910"}, {"ref": "shreyd/notebookd70885a7b1", "kernel_id": "200888"}, {"ref": "shreyd/notebookb15d468202", "kernel_id": "200892"}, {"ref": "henrye28/notebook1d109e9c5a", "kernel_id": "212152"}, {"ref": "toccalino/notebook64f6ca7fc7", "kernel_id": "201381"}, {"ref": "toccalino/a-journey-through-titanic-gus", "kernel_id": "201386"}, {"ref": "sanketdave/a-journey-through-titanic-sanket", "kernel_id": "201376"}, {"ref": "sanketdave/notebook315ae68f1b", "kernel_id": "201370"}, {"ref": "zldeng27/titanic", "kernel_id": "208820"}, {"ref": "zldeng27/notebook60533f5891", "kernel_id": "208818"}, {"ref": "rosenthalsk/notebook08e459e85e", "kernel_id": "200878"}, {"ref": "nhearns/simple-logisticregression-solution", "kernel_id": "201231"}, {"ref": "jpleyte/notebookc4751a3049", "kernel_id": "200974"}, {"ref": "jpleyte/titanic-in-r", "kernel_id": "200980"}, {"ref": "fjuderuphusbritto/notebook13676b4a50", "kernel_id": "200919"}, {"ref": "lakamp/ichabod-s-titanic-attempt", "kernel_id": "202871"}, {"ref": "nazimgirach/notebook486c2bf4ea", "kernel_id": "203122"}, {"ref": "gisbee/notebookc808dd442c", "kernel_id": "211883"}, {"ref": "gisbee/first-attempt", "kernel_id": "258697"}, {"ref": "gisbee/notebooka2f0da8a43", "kernel_id": "258655"}, {"ref": "yangfantrinity/titanic", "kernel_id": "201008"}, {"ref": "yangfantrinity/logistic-regression-model-for-titanic", "kernel_id": "201537"}, {"ref": "haijie/titanic-prediction-with-gbm", "kernel_id": "262932"}, {"ref": "haijie/titanic-prediction-wit", "kernel_id": "262833"}, {"ref": "apaul26/titanic-data-science-solutions", "kernel_id": "278201"}, {"ref": "harshkara/notebook17de8e5705", "kernel_id": "224480"}, {"ref": "lordzebra/notebook26556dbb8e", "kernel_id": "201080"}, {"ref": "roshinirao/notebookc3ce39aa82", "kernel_id": "201093"}, {"ref": "peterswallow/my-titanic-first-effort", "kernel_id": "201087"}, {"ref": "davidhoon/titanic-r-notebook", "kernel_id": "216089"}, {"ref": "shikharparashar/exploring-survival-on-the-titanic", "kernel_id": "201225"}, {"ref": "ranggaacc/ara-1-titanic", "kernel_id": "206405"}, {"ref": "iqbalabiyoga/notebook601d88e441", "kernel_id": "206459"}, {"ref": "azmiiqbalgp/notebook6ba5bcfc96", "kernel_id": "206404"}, {"ref": "aurore/notebooke9dea2a372", "kernel_id": "201147"}, {"ref": "hdhaixiaoyan/start-with-titanic", "kernel_id": "319345"}, {"ref": "samuelrshowalter/a-journey-through-titanic", "kernel_id": "201375"}, {"ref": "tobi2000/notebook17b5d05e82", "kernel_id": "201216"}, {"ref": "twrzesin/a-journey-through-titanic-e1e9f4", "kernel_id": "201390"}, {"ref": "chelseaorefice/newbie-to-kaggle", "kernel_id": "210004"}, {"ref": "kiseki/notebook8f76703ea8", "kernel_id": "201220"}, {"ref": "maringow/notebook165c33fd22", "kernel_id": "201392"}, {"ref": "maringow/a-journey-through-titanic-marin-1-0", "kernel_id": "201393"}, {"ref": "maringow/a-journey-through-titanic-marin", "kernel_id": "201374"}, {"ref": "roelezendam/testings", "kernel_id": "201266"}, {"ref": "roelezendam/titanic-data-science-solutions-nn", "kernel_id": "202809"}, {"ref": "slartibartfast06/notebookca5a21c446", "kernel_id": "201296"}, {"ref": "padil014/notebooke4f65f6a29", "kernel_id": "201297"}, {"ref": "sol18d/notebook0371f79c8c", "kernel_id": "201320"}, {"ref": "minlu0306/minlu-titantic", "kernel_id": "337990"}, {"ref": "german1983/notebook35cef00933", "kernel_id": "201355"}, {"ref": "pankajqm/notebook5f2511f156", "kernel_id": "201396"}, {"ref": "princeede/titanic-dataset-solution-using-logistic-regression", "kernel_id": "213865"}, {"ref": "rakalias/a-journey-through-titanic", "kernel_id": "207714"}, {"ref": "rakalias/introduction-to-ensembling-stacking-in-python", "kernel_id": "205555"}, {"ref": "zmabzug/attempt1", "kernel_id": "204552"}, {"ref": "tooody/kaggle", "kernel_id": "209540"}, {"ref": "dongjinlai/notebook103afd8bbc", "kernel_id": "230808"}, {"ref": "dongjinlai/titanic-official-solution", "kernel_id": "230809"}, {"ref": "ckscientist/notebookb2eda264be", "kernel_id": "214010"}, {"ref": "grapple/my-test-titanic", "kernel_id": "201794"}, {"ref": "grapple/notebook29eec51f9a", "kernel_id": "201704"}, {"ref": "grapple/exploring-survival-on-the-titanic", "kernel_id": "201441"}, {"ref": "grapple/notebook82833f1014", "kernel_id": "201443"}, {"ref": "zhaonat/titanic", "kernel_id": "219592"}, {"ref": "danielvan/fork-tds", "kernel_id": "220639"}, {"ref": "davglimpse/notebookfbc03a4a78", "kernel_id": "201641"}, {"ref": "dabuzzer/notebook3515463004", "kernel_id": "213474"}, {"ref": "niranda/notebooka76379ec3e", "kernel_id": "201523"}, {"ref": "bollazzo/firsttry", "kernel_id": "255541"}, {"ref": "fofepioo/notebook9d639f84b9", "kernel_id": "201805"}, {"ref": "zhanzip/notebook67b3163742", "kernel_id": "201609"}, {"ref": "vk4503/testing", "kernel_id": "259213"}, {"ref": "vk4503/an-interactive-data-science-tutorial", "kernel_id": "258605"}, {"ref": "bgilreath/notebookde6fc7d104", "kernel_id": "201556"}, {"ref": "pavanraj/notebook8c99802ba3", "kernel_id": "209695"}, {"ref": "pavanraj/notebook9c8d04c6a7", "kernel_id": "209696"}, {"ref": "larryjerry/titanic-tutorial", "kernel_id": "201574"}, {"ref": "currypurin/tutorial-of-kaggle-ver3-ch3-3", "kernel_id": "670633"}, {"ref": "currypurin/pandas-profiling-eda", "kernel_id": "947889"}, {"ref": "currypurin/kaggle-ch4", "kernel_id": "965707"}, {"ref": "currypurin/kaggle-ch5-3-1-ch5-3-3", "kernel_id": "900720"}, {"ref": "currypurin/kaggle-ch5-1-ch5-2", "kernel_id": "900499"}, {"ref": "gowthamk63/notebook7c4139fb1c", "kernel_id": "224196"}, {"ref": "cmlaughing/notebook9d04d1e990", "kernel_id": "242127"}, {"ref": "cmlaughing/notebookefa4fe7d22", "kernel_id": "236331"}, {"ref": "cmlaughing/scikit-learn-ml-from-start-to-finish-for-leslie", "kernel_id": "236367"}, {"ref": "cmlaughing/feature-selection-and-classifier-testing-aaf6e2", "kernel_id": "236357"}, {"ref": "cmlaughing/notebook18cfe79842", "kernel_id": "236361"}, {"ref": "cmlaughing/titanic-machine-learning-from-disaster", "kernel_id": "236336"}, {"ref": "cmlaughing/notebookf0bc8a82be", "kernel_id": "236459"}, {"ref": "cmlaughing/titanic-data-science-solutions", "kernel_id": "237200"}, {"ref": "leovdb/notebook52837f4d40", "kernel_id": "201647"}, {"ref": "imluoq/titanic-data-science-solutions", "kernel_id": "207875"}, {"ref": "sharmaanant/train-py", "kernel_id": "201653"}, {"ref": "srujanallenki/notebook887cd70776", "kernel_id": "203428"}, {"ref": "vikasbammidi/my-first", "kernel_id": "209125"}, {"ref": "kitburgess/notebookf8e57a5b27", "kernel_id": "205809"}, {"ref": "mi233dzc/mi233dzc-titanic", "kernel_id": "201741"}, {"ref": "mi233dzc/notebook427589ede5", "kernel_id": "201742"}, {"ref": "mi233dzc/mi233", "kernel_id": "201747"}, {"ref": "mi233dzc/notebookd98a667bfc", "kernel_id": "201749"}, {"ref": "saebghazal/who-will-survive-titanic", "kernel_id": "210483"}, {"ref": "saebghazal/titaniclearningqi", "kernel_id": "241255"}, {"ref": "leontales/notebook442d25b15b", "kernel_id": "201764"}, {"ref": "adrianteri/mynotebook", "kernel_id": "215831"}, {"ref": "wbuilder/notebooke55e8cbef3", "kernel_id": "201784"}, {"ref": "bharathg/notebook0597278355", "kernel_id": "202775"}, {"ref": "yurode/notebookecba6ac299", "kernel_id": "201864"}, {"ref": "sageneo/notebookd506c397e1", "kernel_id": "201886"}, {"ref": "charlesalice/notebookf50453d5d9", "kernel_id": "245252"}, {"ref": "hocinetedjani/hocine-titanic", "kernel_id": "260466"}, {"ref": "mohankri/notebookd207de4f1f", "kernel_id": "202011"}, {"ref": "vishreddy/notebook6585477e1d", "kernel_id": "201947"}, {"ref": "harshramandas/r-titanic", "kernel_id": "201952"}, {"ref": "slyver08/notebook525a789d4b", "kernel_id": "202030"}, {"ref": "litd00/notebook843188a6ea", "kernel_id": "202047"}, {"ref": "yadongliu/titanic-data-science-solutions", "kernel_id": "202122"}, {"ref": "akashrai399/notebookfaa675f43b", "kernel_id": "263966"}, {"ref": "thisispokemon/titanic-data-science-solutions", "kernel_id": "202109"}, {"ref": "davidef/notebook9ea1aa3457", "kernel_id": "202625"}, {"ref": "markvy/titan", "kernel_id": "202147"}, {"ref": "markvy/notebook17766570ae", "kernel_id": "202152"}, {"ref": "ananaymital/cluster-kmeans", "kernel_id": "202324"}, {"ref": "ekantbajaj/titanic-data-science-solutions-d42aa3", "kernel_id": "204363"}, {"ref": "msindhu/notebook854dc69148", "kernel_id": "218424"}, {"ref": "nkhans/titanic1-nkhans", "kernel_id": "204208"}, {"ref": "nomanahmed/notebook94a7e36f50", "kernel_id": "202248"}, {"ref": "alediator/exploring-survival-on-the-titanic", "kernel_id": "202239"}, {"ref": "pragatigarg/notebook87f8c81aa9", "kernel_id": "212191"}, {"ref": "roshanarvind/notebook931ee9bcf4", "kernel_id": "204575"}, {"ref": "elisoft/titanic", "kernel_id": "259804"}, {"ref": "nikson/notebookb8ec343539", "kernel_id": "202374"}, {"ref": "dinesh30/a-journey-through-titanic", "kernel_id": "231656"}, {"ref": "dinesh30/notebookf14a24e2d5", "kernel_id": "204029"}, {"ref": "ayubsayyad/notebooke1a9c386d8", "kernel_id": "202369"}, {"ref": "niranjanappu/sample1", "kernel_id": "202345"}, {"ref": "b0siangyang/a-journey-through-titanic-2b4fbb", "kernel_id": "204428"}, {"ref": "nesterovml/first-test-notebook", "kernel_id": "208892"}, {"ref": "nesterovml/fork-of-first-test-notebook", "kernel_id": "209027"}, {"ref": "leonlaigogo/survival-prediction-flows-sharing", "kernel_id": "226723"}, {"ref": "jinokahn/notebookf01489ce5b", "kernel_id": "204855"}, {"ref": "shivaglk/prog1", "kernel_id": "202467"}, {"ref": "galgaro/tests", "kernel_id": "202527"}, {"ref": "dmw1124/notebookf299aca260", "kernel_id": "202523"}, {"ref": "cnusapbo/titanic-r-code", "kernel_id": "246393"}, {"ref": "ajaxis001/notebook3055cb1a89", "kernel_id": "202511"}, {"ref": "dannyrfar/titanic-data-analysis", "kernel_id": "260700"}, {"ref": "meet10/notebook15cee7f317", "kernel_id": "202536"}, {"ref": "spal2710/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "246740"}, {"ref": "kazemlou/test0", "kernel_id": "202575"}, {"ref": "dpoler/homework2", "kernel_id": "202564"}, {"ref": "qyk130/an-interactive-data-science-tutorial", "kernel_id": "208678"}, {"ref": "qyk130/scikit-learn-ml-from-start-to-finish", "kernel_id": "208670"}, {"ref": "qyk130/a-journey-through-titanic123", "kernel_id": "208673"}, {"ref": "rashidraymond/my-first-script", "kernel_id": "202603"}, {"ref": "koko31/titanic-trials", "kernel_id": "209378"}, {"ref": "nchosqd/titanic-primer", "kernel_id": "207893"}, {"ref": "jonnypowell/notebookdf5b36d336", "kernel_id": "203007"}, {"ref": "danieljmr/titanic-essay", "kernel_id": "204988"}, {"ref": "sszilvasi/notebookb2fceb94e7", "kernel_id": "202708"}, {"ref": "mysterial/notebook2fff1594dd", "kernel_id": "252128"}, {"ref": "indusarath/notebook4efc6be673", "kernel_id": "202745"}, {"ref": "trunkslegendary/notebook5f11acbb04", "kernel_id": "230298"}, {"ref": "jessiehe/notebookf6afcbd1c1", "kernel_id": "257568"}, {"ref": "linhao0204/notebookb47c517cc0", "kernel_id": "202803"}, {"ref": "eulari/notebook9d8e300c66", "kernel_id": "237191"}, {"ref": "eulari/1234e", "kernel_id": "237189"}, {"ref": "eulari/titanic-data-science-solutions", "kernel_id": "237156"}, {"ref": "alangner/notebooke1829e019c", "kernel_id": "208814"}, {"ref": "alangner/notebook0efdb35c5e", "kernel_id": "208816"}, {"ref": "r00takaspin/notebook280434810e", "kernel_id": "204593"}, {"ref": "aakash96/trying", "kernel_id": "233031"}, {"ref": "hafsig/notebook2e076d7f09", "kernel_id": "203862"}, {"ref": "albertsim/albertsim-titanic-tutotial", "kernel_id": "202872"}, {"ref": "albertsim/notebookf7d8d998bf", "kernel_id": "202869"}, {"ref": "albertsim/albert-test", "kernel_id": "211295"}, {"ref": "baukjestienstra/notebook47659fabb0", "kernel_id": "209795"}, {"ref": "baukjestienstra/rtitanic", "kernel_id": "209797"}, {"ref": "baukjestienstra/my-r-titanic", "kernel_id": "227372"}, {"ref": "alfaminder/notebook5fef6a8a40", "kernel_id": "216729"}, {"ref": "francoisolivier/titanic-hello", "kernel_id": "202897"}, {"ref": "francoisolivier/titanic4", "kernel_id": "203052"}, {"ref": "francoisolivier/titanic5", "kernel_id": "203055"}, {"ref": "francoisolivier/titanic3", "kernel_id": "203018"}, {"ref": "francoisolivier/titanic-basics-python", "kernel_id": "202980"}, {"ref": "francoisolivier/titanic10", "kernel_id": "203618"}, {"ref": "francoisolivier/titanic-20", "kernel_id": "203646"}, {"ref": "francoisolivier/fork-of-titanic-20", "kernel_id": "203712"}, {"ref": "rosnicka/notebook2099ba83c7", "kernel_id": "212741"}, {"ref": "rosnicka/notebook87d563235f", "kernel_id": "229388"}, {"ref": "deeds91/machine-learning-001", "kernel_id": "210446"}, {"ref": "trenzalore888/jeff-delaney-s-titanic-tutorial-not-mine", "kernel_id": "213396"}, {"ref": "trenzalore888/titanic-learning-1", "kernel_id": "213100"}, {"ref": "trenzalore888/old-not-in-use-anymore", "kernel_id": "218329"}, {"ref": "sirjackshen/notebookccd271447f", "kernel_id": "237295"}, {"ref": "sirjackshen/notebookacfba79dc4", "kernel_id": "247565"}, {"ref": "sirjackshen/titanic-1", "kernel_id": "252319"}, {"ref": "sirjackshen/notebook687a2007e7", "kernel_id": "252310"}, {"ref": "changjian/change-a-little", "kernel_id": "202949"}, {"ref": "bhavana54/an-interactive-data-science-tutorial", "kernel_id": "210578"}, {"ref": "bhavana54/an-interactive-data-science-tutorial-a231b7", "kernel_id": "210581"}, {"ref": "bhavana54/notebook5085b9a8b3", "kernel_id": "210569"}, {"ref": "anisallaveshi/notebookef27c3f641", "kernel_id": "276795"}, {"ref": "ccjjyy/titanic-data-science-solutions", "kernel_id": "255365"}, {"ref": "dm14348174/notebook93801a647a", "kernel_id": "212174"}, {"ref": "craigot/notebook7cbd527932", "kernel_id": "202973"}, {"ref": "abhinav0561/notebookfd18522619", "kernel_id": "203001"}, {"ref": "vincentlugat/titanic-data-analysis-rf-prediction-0-81818", "kernel_id": "244803"}, {"ref": "shravanshandilya/notebookb7a0cc7856", "kernel_id": "217654"}, {"ref": "caiadai/titanic-data-work", "kernel_id": "222655"}, {"ref": "niallno1/titanic", "kernel_id": "203048"}, {"ref": "bcgboonc/notebook6126f696c2", "kernel_id": "233146"}, {"ref": "shaneconneely/notebookdd78382b11", "kernel_id": "203090"}, {"ref": "pierrealexis/my-first-competition-titanic", "kernel_id": "203102"}, {"ref": "gaguirregabiria/titanic-nn-and-svm", "kernel_id": "288825"}, {"ref": "gaguirregabiria/first-ml-neural-network-for-titanic", "kernel_id": "278539"}, {"ref": "oliver050/notebookbede0a7d70", "kernel_id": "203585"}, {"ref": "oliver050/notebookcbcaa94ece", "kernel_id": "215024"}, {"ref": "tsansom/an-interactive-data-science-tutorial", "kernel_id": "265833"}, {"ref": "artemfedorov/notebook20b2436af2", "kernel_id": "204708"}, {"ref": "mragland/titanic", "kernel_id": "209407"}, {"ref": "mragland/titanic-data-science-solutions", "kernel_id": "209310"}, {"ref": "tsugumi/notebook5892f48f7f", "kernel_id": "205604"}, {"ref": "ludwigba/an-interactive-data-science-tutorial-853360", "kernel_id": "203264"}, {"ref": "philnoakes/notebook16f5c157eb", "kernel_id": "217074"}, {"ref": "melgin/notebookf2b82faa09", "kernel_id": "248043"}, {"ref": "pamelachen/game-01", "kernel_id": "219319"}, {"ref": "gerante/notebook824e422efc", "kernel_id": "204197"}, {"ref": "gerante/notebookfa3e293c96", "kernel_id": "204203"}, {"ref": "gerante/notebook77df1a376f", "kernel_id": "204204"}, {"ref": "gerante/notebook8374c7fd75", "kernel_id": "204205"}, {"ref": "hassanksalim/testing", "kernel_id": "213218"}, {"ref": "jemxgw/notebook6880267ac7", "kernel_id": "205151"}, {"ref": "jemxgw/notebook66f0638e91", "kernel_id": "207968"}, {"ref": "evangelize/minor-improvements-to-someone-else-s-solution", "kernel_id": "211811"}, {"ref": "evangelize/notebooke6ffe789e7", "kernel_id": "211804"}, {"ref": "evangelize/a-journey-through-titanic", "kernel_id": "210068"}, {"ref": "ksbengal/titanic-tutorial-karan", "kernel_id": "205914"}, {"ref": "rachit9565/test1", "kernel_id": "210312"}, {"ref": "brijeshrao/sample", "kernel_id": "204081"}, {"ref": "brijeshrao/notebookdccb9efc43", "kernel_id": "204084"}, {"ref": "souravroy1/notebook88db340290", "kernel_id": "298905"}, {"ref": "souravroy1/movie-vs-data", "kernel_id": "298910"}, {"ref": "rossjo/introduction-to-ensembling-stacking-in-python", "kernel_id": "209910"}, {"ref": "paperdoll/notebook6c2dce1d27", "kernel_id": "203520"}, {"ref": "sravyakola/titanic-model", "kernel_id": "203499"}, {"ref": "purnach/firsttest", "kernel_id": "203534"}, {"ref": "purnach/notebook39bc6b49ed", "kernel_id": "203532"}, {"ref": "rbharti/sinking-ship", "kernel_id": "213375"}, {"ref": "rbharti/notebook31d5017463", "kernel_id": "218872"}, {"ref": "rbharti/practice", "kernel_id": "218873"}, {"ref": "rbharti/ppsnwd", "kernel_id": "219343"}, {"ref": "rbharti/dsfsdf", "kernel_id": "219696"}, {"ref": "longmumin/titanic-test1", "kernel_id": "217284"}, {"ref": "xiaoyaonanjiea/notebookdf3a40f3ae", "kernel_id": "263303"}, {"ref": "xiaoyaonanjiea/notebook13d27faf2e", "kernel_id": "235034"}, {"ref": "xiaoyaonanjiea/onetwo", "kernel_id": "235036"}, {"ref": "minhitbk/notebook54df0d1675", "kernel_id": "203555"}, {"ref": "jayniti/notebookef20084207", "kernel_id": "205415"}, {"ref": "dssgsra/first-try", "kernel_id": "238009"}, {"ref": "dssgsra/introduction-to-ensembling-stacking-in-pyth-08a4bc", "kernel_id": "238220"}, {"ref": "dssgsra/a-journey-through-titanic-dbd6b8", "kernel_id": "238217"}, {"ref": "bemmerdinger/titanic-data-science-solutions", "kernel_id": "203921"}, {"ref": "bemmerdinger/roberts-titanic-script", "kernel_id": "224859"}, {"ref": "sheney/notebook13ae678fad", "kernel_id": "204696"}, {"ref": "kevingau/notebookc18b3a6a6d", "kernel_id": "276048"}, {"ref": "kevingau/test1", "kernel_id": "276435"}, {"ref": "nbaf333/mytitan", "kernel_id": "211228"}, {"ref": "nbaf333/notebook80666c4580", "kernel_id": "211218"}, {"ref": "nbaf333/titan", "kernel_id": "211219"}, {"ref": "nbaf333/titan1", "kernel_id": "211221"}, {"ref": "nbaf333/notebookfc57cf8d98", "kernel_id": "210467"}, {"ref": "nbaf333/notebook008907c04b", "kernel_id": "210421"}, {"ref": "gupta97/learning-to-work-on-kernels", "kernel_id": "203709"}, {"ref": "gupta97/introduction-to-ensembling-stacking-in-python", "kernel_id": "203746"}, {"ref": "gupta97/titanic-best-working-classifier", "kernel_id": "203751"}, {"ref": "sidd14gos/notebookab044343d4", "kernel_id": "278432"}, {"ref": "sidd14gos/notebook7a459c40ad", "kernel_id": "278568"}, {"ref": "tsfitz/notebook352c29cf12", "kernel_id": "203718"}, {"ref": "tsfitz/titanic", "kernel_id": "203721"}, {"ref": "mudit25/notebookd177f1e4e2", "kernel_id": "203740"}, {"ref": "fabienp/notebookd21bf9a8c3", "kernel_id": "203715"}, {"ref": "shraddhak102/titanic-dataset", "kernel_id": "238696"}, {"ref": "adb991/notebook2b65d6cbe2", "kernel_id": "217785"}, {"ref": "tallglass/notebook2df2f88f1e", "kernel_id": "216767"}, {"ref": "tallglass/notebookc27d3e24ab", "kernel_id": "223947"}, {"ref": "tallglass/notebookd875a8f676", "kernel_id": "223944"}, {"ref": "tallglass/notebook59e4bf2284", "kernel_id": "205871"}, {"ref": "bshirley/bshirley-exploration-1", "kernel_id": "210907"}, {"ref": "mattchr/notebookdbca2a4ac4", "kernel_id": "210914"}, {"ref": "mattchr/notebook80d290447e", "kernel_id": "209952"}, {"ref": "mattchr/matt-wip", "kernel_id": "207645"}, {"ref": "mattchr/notebook52c60f21d9", "kernel_id": "203783"}, {"ref": "mattchr/notebook7295015860", "kernel_id": "203781"}, {"ref": "dheyvid/notebook1da95f962b", "kernel_id": "203780"}, {"ref": "avaspetalnick/notebook3a673590c9", "kernel_id": "209941"}, {"ref": "huang2017/11111111", "kernel_id": "203797"}, {"ref": "huang2017/notebook54dd3e2cf5", "kernel_id": "203802"}, {"ref": "egoldshtrom/titanic-notebook-sandbox", "kernel_id": "210902"}, {"ref": "ywan315/notebookbaeaef548a", "kernel_id": "203807"}, {"ref": "bashby/bashby-s-big-some-might-say-titanic-notebook", "kernel_id": "203798"}, {"ref": "fkproffo/notebook90bed9047f", "kernel_id": "203861"}, {"ref": "ianwunu/test1-py", "kernel_id": "203952"}, {"ref": "dawoine84/notebook01c1a6930c", "kernel_id": "203881"}, {"ref": "savvaser/titanic-submission", "kernel_id": "571946"}, {"ref": "raulfragoso/titanic-notebook", "kernel_id": "206066"}, {"ref": "raulfragoso/notebookc56c2e1642", "kernel_id": "206090"}, {"ref": "wiggin/working-on-titanic-dataset", "kernel_id": "211690"}, {"ref": "ideankeshmirian/notebook925b0396bc", "kernel_id": "205059"}, {"ref": "swein09/notebook65e2650183", "kernel_id": "217968"}, {"ref": "tjyach/notebook9f31364e5e", "kernel_id": "203940"}, {"ref": "muonneutrino/titanic-first-attempt-at-a-decision-tree-analysis", "kernel_id": "203949"}, {"ref": "sharmaabhi7/titanic-survive-prediction", "kernel_id": "340436"}, {"ref": "morshi/kaggle-competition-dome-tiranic", "kernel_id": "204842"}, {"ref": "fengdu78/test2", "kernel_id": "204027"}, {"ref": "fengdu78/test1", "kernel_id": "204022"}, {"ref": "fengdu78/test3", "kernel_id": "204032"}, {"ref": "fengdu78/test4", "kernel_id": "204034"}, {"ref": "fengdu78/test5", "kernel_id": "204035"}, {"ref": "fengdu78/readdata", "kernel_id": "204008"}, {"ref": "iwarrior/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "273873"}, {"ref": "rcschen/notebook709f0a0ec6", "kernel_id": "222462"}, {"ref": "rcschen/notebookcdd9ce3b0d", "kernel_id": "223391"}, {"ref": "rcschen/notebook9a181f349f", "kernel_id": "221587"}, {"ref": "rcschen/notebook58a8dde20f", "kernel_id": "221558"}, {"ref": "rcschen/notebookfafb7b03b7", "kernel_id": "221560"}, {"ref": "rcschen/notebook01b9d50e35", "kernel_id": "221564"}, {"ref": "rcschen/notebook468f97f774", "kernel_id": "220904"}, {"ref": "anuragreddy333/tidy-titarnic", "kernel_id": "323893"}, {"ref": "vikram25december/my-first-notebook", "kernel_id": "204079"}, {"ref": "noqcks/notebookdcd1ab8c75", "kernel_id": "230317"}, {"ref": "nehjain/notebook3c080ae9a4", "kernel_id": "204093"}, {"ref": "kruckenb/foobar", "kernel_id": "204101"}, {"ref": "rahulmutt/notebook8838df7d09", "kernel_id": "204110"}, {"ref": "frank5547/my-solution-to-titanic-for-now", "kernel_id": "239395"}, {"ref": "rarkgazr/test-1", "kernel_id": "204590"}, {"ref": "rarkgazr/test-script", "kernel_id": "204587"}, {"ref": "rarkgazr/notebookf69e735b54", "kernel_id": "204588"}, {"ref": "kagglere/titanic", "kernel_id": "204155"}, {"ref": "brenndo/titanic-data-science-solutions", "kernel_id": "222909"}, {"ref": "victor9000/notebook1107b9bf97", "kernel_id": "204167"}, {"ref": "victor9000/titanic", "kernel_id": "204169"}, {"ref": "victor9000/testing", "kernel_id": "204846"}, {"ref": "kidoman/pranabtest1", "kernel_id": "270247"}, {"ref": "kidoman/titanic-test", "kernel_id": "269614"}, {"ref": "sunil02nov/notebook5b3a846dfc", "kernel_id": "246385"}, {"ref": "flaviuv/notebookf3b0ee11e1", "kernel_id": "204209"}, {"ref": "arossbach/notebook682ecc8635", "kernel_id": "205146"}, {"ref": "saadakaalo/titanicscript-py", "kernel_id": "251707"}, {"ref": "saadakaalo/notebook7d0c42bd41", "kernel_id": "251727"}, {"ref": "saadakaalo/notebookf8d1980af4", "kernel_id": "207634"}, {"ref": "adithyakothapalli/sample", "kernel_id": "204228"}, {"ref": "rebekah73/notebookdad73cee7c", "kernel_id": "204274"}, {"ref": "diazona/exploring-the-titanic-data-set", "kernel_id": "221632"}, {"ref": "m990xd/notebook44310ac947", "kernel_id": "204958"}, {"ref": "m990xd/notebookf4211d6b96", "kernel_id": "259427"}, {"ref": "wilson0824/notebook5c4e57fa50", "kernel_id": "240684"}, {"ref": "glegru/notebookc827dd7828", "kernel_id": "204279"}, {"ref": "alhamed20/test1", "kernel_id": "204287"}, {"ref": "alexanderbp91/test1", "kernel_id": "235176"}, {"ref": "greenworks/notebook8a85b72645", "kernel_id": "261505"}, {"ref": "ran1937/titanic-data-science-solutions", "kernel_id": "210527"}, {"ref": "plaksel/notebook5e04c42e0e", "kernel_id": "204322"}, {"ref": "htw2012/read-data", "kernel_id": "235012"}, {"ref": "amitg0161/titanic-ml", "kernel_id": "273643"}, {"ref": "armin06/notebook9fe29e0a7a", "kernel_id": "209608"}, {"ref": "funnylegs/a-journey-through-titanic-understanding", "kernel_id": "258280"}, {"ref": "funnylegs/newbie", "kernel_id": "204341"}, {"ref": "funnylegs/selfishrose", "kernel_id": "205671"}, {"ref": "pdharmesh/notebook26802e48c9", "kernel_id": "204362"}, {"ref": "doh42q/testing-stuff", "kernel_id": "204365"}, {"ref": "doh42q/notebookbbb524c120", "kernel_id": "205307"}, {"ref": "doh42q/notebook2c2143a572", "kernel_id": "205320"}, {"ref": "ayeletbg/titanic-data-science-solutions", "kernel_id": "210487"}, {"ref": "aiwaakashi/notebook2e61322f02", "kernel_id": "206455"}, {"ref": "ysak26/my-first-kaggle-notebook-titanic", "kernel_id": "204401"}, {"ref": "tryingtobebetter/notebook137e115991", "kernel_id": "229637"}, {"ref": "jingchen2222/notebookfe102a8acd", "kernel_id": "205199"}, {"ref": "jingchen2222/notebookc91c7c7fda", "kernel_id": "206018"}, {"ref": "omrihar/getting-to-know-kaggle-with-the-titanic-data-set", "kernel_id": "219112"}, {"ref": "jsignell/titanic", "kernel_id": "204410"}, {"ref": "jackic/notebook38303e4604", "kernel_id": "204750"}, {"ref": "dpullen/notebook1f891a64da", "kernel_id": "204672"}, {"ref": "nenuon/notebook933c013535", "kernel_id": "209803"}, {"ref": "lindenlu/lindentitanic", "kernel_id": "243423"}, {"ref": "lindenlu/lindentitanicfinal", "kernel_id": "243424"}, {"ref": "lindenlu/titanic-notebook-narrow-bins", "kernel_id": "257069"}, {"ref": "lindenlu/titanic-notebook-randomforest", "kernel_id": "257045"}, {"ref": "lindenlu/linden-titanic-script", "kernel_id": "254744"}, {"ref": "lindenlu/titanic-notebook-self-test", "kernel_id": "262125"}, {"ref": "lindenlu/fork-of-ahmed-0-8134", "kernel_id": "273437"}, {"ref": "lindenlu/fork-of-titanic-notebook-from-sex-pclass-to-more", "kernel_id": "272397"}, {"ref": "lindenlu/ahmed-0-8134", "kernel_id": "272637"}, {"ref": "jyotiprakash/titanic-learn-ds", "kernel_id": "235540"}, {"ref": "thibau/notebooka98e647e72", "kernel_id": "204443"}, {"ref": "ridallah/an-interactive-data-science-tutorial", "kernel_id": "221328"}, {"ref": "jpfonseca/notebook486dcc4deb", "kernel_id": "209806"}, {"ref": "asdf0100/test1-titanic", "kernel_id": "204465"}, {"ref": "willtsao/notebookfc2d09bdfa", "kernel_id": "207555"}, {"ref": "willtsao/notebook1cc1d32dca", "kernel_id": "230931"}, {"ref": "willtsao/kaggle-titanic", "kernel_id": "231751"}, {"ref": "zrafiws/notebooka14e29f8bf", "kernel_id": "228267"}, {"ref": "zrafiws/kaggle", "kernel_id": "228743"}, {"ref": "zrafiws/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "226033"}, {"ref": "joemegill/notebook42fdb6e9de", "kernel_id": "204804"}, {"ref": "nikhil9865/firstrun", "kernel_id": "204501"}, {"ref": "tobiasz/test1", "kernel_id": "206474"}, {"ref": "laurali/nora-s-titanic-notebook", "kernel_id": "232206"}, {"ref": "aslamplr/titanic-data-science-solutions", "kernel_id": "210662"}, {"ref": "adamszalkowskibbv/notebook8e06e93423", "kernel_id": "204494"}, {"ref": "belghitioth/notebook1c4d275b28", "kernel_id": "232871"}, {"ref": "willeskey/notebook9b36bcd2de", "kernel_id": "221701"}, {"ref": "roberthuynh/testing", "kernel_id": "209350"}, {"ref": "lampbob/notebook6da1b29201", "kernel_id": "204525"}, {"ref": "eekeepaa/notebook97c24bb500", "kernel_id": "208383"}, {"ref": "eekeepaa/notebook5bd96fd478", "kernel_id": "219607"}, {"ref": "eekeepaa/notebook039a537b82", "kernel_id": "219640"}, {"ref": "kvnlng/titanic", "kernel_id": "204618"}, {"ref": "kvnlng/getting-started", "kernel_id": "204704"}, {"ref": "mattwhansen/notebookd8881ef1e6", "kernel_id": "207655"}, {"ref": "mattwhansen/titanic-v1", "kernel_id": "207664"}, {"ref": "elviiis04/notebookb43672cdc4", "kernel_id": "214495"}, {"ref": "mlmerck/notebook643358feaa", "kernel_id": "206052"}, {"ref": "mlmerck/notebookda62df5619", "kernel_id": "208295"}, {"ref": "madhavpurohit43/svm-titanic", "kernel_id": "216121"}, {"ref": "tremou/notebook750b6993e1", "kernel_id": "204705"}, {"ref": "tremou/titanic-try", "kernel_id": "204701"}, {"ref": "rjcaste/notebookc7ce621f07", "kernel_id": "213648"}, {"ref": "whitneyontheweb/titanic-data-analysis", "kernel_id": "213776"}, {"ref": "mytnguyen26/titanic-machine-learning-from-disaster", "kernel_id": "236492"}, {"ref": "sanyot/notebookebb2ca6e76", "kernel_id": "204740"}, {"ref": "nlandjev/notebook5bf10c4ea2", "kernel_id": "221313"}, {"ref": "nlandjev/titanic-0", "kernel_id": "206304"}, {"ref": "micka39/notebook7b8f16aa07", "kernel_id": "204645"}, {"ref": "datasingh/notebook03d39409a4", "kernel_id": "204727"}, {"ref": "hderms/notebookba62c12509", "kernel_id": "204639"}, {"ref": "ctc2112/testtitanticpytutorial", "kernel_id": "225173"}, {"ref": "ricardotrindade/praciticing-titanic", "kernel_id": "329649"}, {"ref": "ajryan/notebookce0841c6fb", "kernel_id": "204667"}, {"ref": "skjteam/notebook0f23c1edad", "kernel_id": "205182"}, {"ref": "jananjiang/notebook5696a6c804", "kernel_id": "205894"}, {"ref": "pmvester/notebook95abee3cd4", "kernel_id": "204699"}, {"ref": "jpacer94/myfirstscript", "kernel_id": "204703"}, {"ref": "federiko/notebook10a466ef68", "kernel_id": "290662"}, {"ref": "pengpenpen/notebookdec23d07ed", "kernel_id": "204807"}, {"ref": "castrofoliver/hw-flavio", "kernel_id": "204722"}, {"ref": "castrofoliver/notebook1fd4216424", "kernel_id": "204718"}, {"ref": "creiser/a-journey-through-titanic", "kernel_id": "216676"}, {"ref": "motavasco/titanic-1", "kernel_id": "280732"}, {"ref": "motavasco/titanic-data-science-solutions", "kernel_id": "218662"}, {"ref": "tylernd27/notebook6f65e6676e", "kernel_id": "219326"}, {"ref": "zhangdeng/notebook41e29f3042", "kernel_id": "204767"}, {"ref": "fermm92/exploring-survival-on-the-titanic", "kernel_id": "204772"}, {"ref": "hamachi/notebook03b0fdcb5d", "kernel_id": "207778"}, {"ref": "hamachi/notebook452e55b0bd", "kernel_id": "210041"}, {"ref": "hamachi/my-kernel", "kernel_id": "210166"}, {"ref": "hamachi/script", "kernel_id": "210758"}, {"ref": "hamachi/notebookf9f9162eb8", "kernel_id": "210763"}, {"ref": "hamachi/notebookf639d7f407", "kernel_id": "212515"}, {"ref": "hamachi/notebook2a4281e54b", "kernel_id": "211775"}, {"ref": "y2khjh/notebook7d6f1f7fa3", "kernel_id": "204790"}, {"ref": "ksintac/notebook23571e233d", "kernel_id": "204778"}, {"ref": "heckmanc13/notebookb32f0cd052", "kernel_id": "214412"}, {"ref": "maheshlambe/notebook64d4e521ec", "kernel_id": "221327"}, {"ref": "justinwazhang/the-first-step", "kernel_id": "233320"}, {"ref": "konfirst/notebook515a4ab827", "kernel_id": "204947"}, {"ref": "redpepperroja/notebook35a914e8ea", "kernel_id": "204821"}, {"ref": "preflightsiren/notebook0179e5f0d4", "kernel_id": "204868"}, {"ref": "fishdda/notebooka6b2257066", "kernel_id": "211044"}, {"ref": "goodmansjtu/titanic-saving-ml", "kernel_id": "265564"}, {"ref": "idubdub/notebook91247cb82c", "kernel_id": "204857"}, {"ref": "dkrupenya/notebookd782587635", "kernel_id": "229072"}, {"ref": "alicesmith/titanic-top-4-with-ensemble-modeling", "kernel_id": "334520"}, {"ref": "iwaayasan/testr", "kernel_id": "217077"}, {"ref": "andreoviedo/notebook4a5860ea2b", "kernel_id": "255437"}, {"ref": "andreoviedo/notebook1edcfb1b73", "kernel_id": "254174"}, {"ref": "tmpellerito/titanic-data-science-solutions-5751f3", "kernel_id": "204959"}, {"ref": "rickyhp/titanic", "kernel_id": "240041"}, {"ref": "rickyhp/hello-kaggle", "kernel_id": "240069"}, {"ref": "lewisac/a-journey-through-titanic", "kernel_id": "204999"}, {"ref": "mrspin/titanic-analysis-test", "kernel_id": "224099"}, {"ref": "ryusuga/notebook159c2e70e6", "kernel_id": "204968"}, {"ref": "tamato1/notebookff19af0827", "kernel_id": "205531"}, {"ref": "galen5hk/firstrun", "kernel_id": "205088"}, {"ref": "gaorongchao/titanic", "kernel_id": "205036"}, {"ref": "ffttshow/zjay-ds-001", "kernel_id": "224394"}, {"ref": "midus1/notebookdbe0615f98", "kernel_id": "205176"}, {"ref": "hrma017/notebookb5fc0ee826", "kernel_id": "205051"}, {"ref": "phattaras/notebookc94acbba87", "kernel_id": "205073"}, {"ref": "rshvkmr/titanic-data-science-solutions", "kernel_id": "252195"}, {"ref": "hanchao/titanic-data-science-solutions", "kernel_id": "206148"}, {"ref": "hanchao/notebook8063651484", "kernel_id": "209959"}, {"ref": "hanchao/titanic-first-try", "kernel_id": "209960"}, {"ref": "maritimemartin/maritimemartins-approach-not-finished", "kernel_id": "213519"}, {"ref": "plzdaye/titanic-data-science-solutions", "kernel_id": "206145"}, {"ref": "shunkb/notebook785777370f", "kernel_id": "205099"}, {"ref": "shunkb/notebook0dc5bff1c7", "kernel_id": "218142"}, {"ref": "shunkb/notebook7964a97824", "kernel_id": "218129"}, {"ref": "shunkb/notebookd89d1a264f", "kernel_id": "218113"}, {"ref": "shashank31mar/playing-with-titanic-disaster-prediction", "kernel_id": "433010"}, {"ref": "swapnilvnit2018/swapnil-titanic", "kernel_id": "208658"}, {"ref": "swapnilvnit2018/swapnil-hello", "kernel_id": "205108"}, {"ref": "kaiwangic/notebookeac8cdaddd", "kernel_id": "260435"}, {"ref": "kaiwangic/notebook28ff93d5e8", "kernel_id": "261210"}, {"ref": "fave87/notebook8d7737dc50", "kernel_id": "214286"}, {"ref": "fave87/notebook51a7b7f2b4", "kernel_id": "214454"}, {"ref": "fave87/notebook4239f11d04", "kernel_id": "214460"}, {"ref": "fave87/notebook6c688c8fcf", "kernel_id": "213659"}, {"ref": "paperplane/notebook29f3e77680", "kernel_id": "205135"}, {"ref": "chaihf/notebook4e9a3ec3c5", "kernel_id": "205154"}, {"ref": "chaihf/notebookdf008a9c07", "kernel_id": "205172"}, {"ref": "chaihf/tests", "kernel_id": "205166"}, {"ref": "strawerlar/notebook665654b9b0", "kernel_id": "228826"}, {"ref": "strawerlar/notebook76b1c12a79", "kernel_id": "227150"}, {"ref": "mercer/an-interactive-data-science-tutorial", "kernel_id": "265264"}, {"ref": "mercer/titanic-data-science-solutions", "kernel_id": "262788"}, {"ref": "yues66cc/notebook190e7eefa7", "kernel_id": "205180"}, {"ref": "rolandhein/notebookfcfbfd0092", "kernel_id": "205686"}, {"ref": "dralmostright/kaggle-titanic-first-kernel", "kernel_id": "338485"}, {"ref": "ytonthemove/notebook388e21844b", "kernel_id": "205184"}, {"ref": "alpenabendrote/notebook89ed6808a0", "kernel_id": "206171"}, {"ref": "henkmuis/notebook8af28f83fe", "kernel_id": "205198"}, {"ref": "kunaphas/firsttest", "kernel_id": "205189"}, {"ref": "kunaphas/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "228031"}, {"ref": "undefided/notebook7d1fa1adcb", "kernel_id": "210267"}, {"ref": "undefided/notebookcd2b250bcc", "kernel_id": "225138"}, {"ref": "sawajid/titanic-test", "kernel_id": "206108"}, {"ref": "lucamingardi/first-keggle-notebook", "kernel_id": "205226"}, {"ref": "ienchia/notebookaca12c4d48", "kernel_id": "211204"}, {"ref": "sudhirnl7/logistic-regression-with-stratifiedkfold", "kernel_id": "232413"}, {"ref": "alvindaiyan/try-default-script", "kernel_id": "205256"}, {"ref": "alvindaiyan/my-new-titanic-script", "kernel_id": "209463"}, {"ref": "danishmerani/notebook9c814514b1", "kernel_id": "205247"}, {"ref": "alexhaed/titanic-data-science-solutions", "kernel_id": "206424"}, {"ref": "aayushkubba/first-submission-on-kaggle", "kernel_id": "535607"}, {"ref": "kevinrombout/titanic", "kernel_id": "205304"}, {"ref": "yasminedejeu/titanic", "kernel_id": "205303"}, {"ref": "yasminedejeu/titanic1", "kernel_id": "212258"}, {"ref": "surajit2017/surajit-2017-titanic-r", "kernel_id": "205315"}, {"ref": "sriharinitumu/test-1", "kernel_id": "205347"}, {"ref": "rohitgup14/notebook7ea4a21815", "kernel_id": "205323"}, {"ref": "hs3ode/notebook8f0d40e786", "kernel_id": "274076"}, {"ref": "scheung/my-first-learning-script", "kernel_id": "205343"}, {"ref": "sinanalb/test-titanic", "kernel_id": "228600"}, {"ref": "nancymahajan/survivalprediction", "kernel_id": "205368"}, {"ref": "nancymahajan/titanic-example", "kernel_id": "585608"}, {"ref": "barristerthebold/dsdsd", "kernel_id": "205387"}, {"ref": "vyasadhikari/notebookb58ea3e324", "kernel_id": "228822"}, {"ref": "vyasadhikari/notebookb6c937a143", "kernel_id": "251522"}, {"ref": "herrr2d2/hello-world-on-titanic-dataset", "kernel_id": "240809"}, {"ref": "moliwang/test1", "kernel_id": "208923"}, {"ref": "moliwang/test2", "kernel_id": "208925"}, {"ref": "zaratropia/kaggle-playground-no-1", "kernel_id": "205394"}, {"ref": "ashleyhaulkory/notebook22122828df", "kernel_id": "205862"}, {"ref": "riccardomarton/titanic-competition", "kernel_id": "208772"}, {"ref": "eisukeyasuda/notebookdc376600e8", "kernel_id": "205882"}, {"ref": "eisukeyasuda/train1", "kernel_id": "205843"}, {"ref": "eisukeyasuda/notebook3a06802ab1", "kernel_id": "205846"}, {"ref": "eisukeyasuda/notebook6dfb01b1fc", "kernel_id": "206399"}, {"ref": "rjwink/notebook29279b6f3e", "kernel_id": "205441"}, {"ref": "mihaimihailescu/my-script-py", "kernel_id": "207661"}, {"ref": "lipenx/titanic-data-science-solutions", "kernel_id": "205585"}, {"ref": "mesoys/notebookab7a2bf0d1", "kernel_id": "205491"}, {"ref": "mesoys/titanic", "kernel_id": "208847"}, {"ref": "rishabhwadhwani/notebookd410e66a49", "kernel_id": "205500"}, {"ref": "ruhsuzbaykus/titanic", "kernel_id": "206138"}, {"ref": "ruhsuzbaykus/notebook10e285fbdc", "kernel_id": "206136"}, {"ref": "aperezcastro/test1", "kernel_id": "239097"}, {"ref": "aperezcastro/notebooke0c3e9b31a", "kernel_id": "239098"}, {"ref": "kharik/notebooke5248afab8", "kernel_id": "205481"}, {"ref": "adamtache/notebook22322672c9", "kernel_id": "205495"}, {"ref": "adamtache/notebookf5e6e73b48", "kernel_id": "210053"}, {"ref": "doneleone/notebooka7922d219f", "kernel_id": "205570"}, {"ref": "milenski/notebook69d3214b4a", "kernel_id": "205496"}, {"ref": "milenski/notebook3ea90f3e82", "kernel_id": "205763"}, {"ref": "acrespop/titanic1", "kernel_id": "210119"}, {"ref": "byt3dev/titanic-data-science-solutions", "kernel_id": "205526"}, {"ref": "geckolml/titanic-data-science-solutions", "kernel_id": "243463"}, {"ref": "shawneeboy/notebook555352d13b", "kernel_id": "205535"}, {"ref": "kaider0/exploring-survival-on-the-titanic", "kernel_id": "207602"}, {"ref": "kaider0/notebook36798d4228", "kernel_id": "207584"}, {"ref": "kaider0/first", "kernel_id": "207585"}, {"ref": "kaider0/myfirstnotebook", "kernel_id": "207586"}, {"ref": "mvrkkk/first-kaggle-submission", "kernel_id": "479309"}, {"ref": "abbyneill/abby-s-titanic-kernel", "kernel_id": "209487"}, {"ref": "tibo22/titanic-data-science-solutions", "kernel_id": "277149"}, {"ref": "djr135/titanic1", "kernel_id": "210953"}, {"ref": "marinelli/notebook9f08d6d073", "kernel_id": "209189"}, {"ref": "dprat0821/first-class", "kernel_id": "209075"}, {"ref": "michaelmcfarlane/michael-s-titanic-practice", "kernel_id": "205874"}, {"ref": "dskid17/titanic-data-science-solutions-7519f8", "kernel_id": "205599"}, {"ref": "jvel07/titanic", "kernel_id": "208520"}, {"ref": "brarajit18/titanic-py", "kernel_id": "213881"}, {"ref": "arijeetsat/notebookef2a33e207", "kernel_id": "205648"}, {"ref": "aliawadh980/1st-code", "kernel_id": "974862"}, {"ref": "ctunder77/notebook3944556169", "kernel_id": "205630"}, {"ref": "angelalee/notebookde8472ea32", "kernel_id": "237578"}, {"ref": "syedyunus/notebook31cf98d93b", "kernel_id": "205707"}, {"ref": "newdaa/notebook1434ec193b", "kernel_id": "205705"}, {"ref": "joakark/notebook34fc230266", "kernel_id": "220673"}, {"ref": "joakark/notebook597bdd0fb0", "kernel_id": "220674"}, {"ref": "joakark/notebookcc18af799e", "kernel_id": "220679"}, {"ref": "emider/titanic", "kernel_id": "210378"}, {"ref": "emider/notebooke1dd532215", "kernel_id": "210983"}, {"ref": "tarnenok/notebookb98ea9f006", "kernel_id": "279845"}, {"ref": "saishanthan/notebookd6b38bccd3", "kernel_id": "205728"}, {"ref": "laxmanm/titanic1", "kernel_id": "233493"}, {"ref": "jmgfcheo/testjose", "kernel_id": "205848"}, {"ref": "jmaessen2017/notebooke8eb396a2c", "kernel_id": "206240"}, {"ref": "tmytrn/notebook664c778236", "kernel_id": "226916"}, {"ref": "tmytrn/titanic-predictions", "kernel_id": "226941"}, {"ref": "fcfrozo/k1-pylearn-titanic", "kernel_id": "205792"}, {"ref": "chubchubo/notebook161b5ab0d3", "kernel_id": "205766"}, {"ref": "balajiyuvaraj/notebooka0a77de4c1", "kernel_id": "205777"}, {"ref": "marcobroccoli/titanic-competition", "kernel_id": "208362"}, {"ref": "aykornb/notebook8f662b99b7", "kernel_id": "205825"}, {"ref": "upupnaway/notebook3a2bc6baa9", "kernel_id": "205852"}, {"ref": "ddefave/titanic-script-test", "kernel_id": "211565"}, {"ref": "ahmadfarid/an-interactive-data-science-tutorial", "kernel_id": "205875"}, {"ref": "happymarco/notebookcac6784299", "kernel_id": "206300"}, {"ref": "happymarco/main-py", "kernel_id": "206301"}, {"ref": "slallement/notebook-survival-on-the-titanic", "kernel_id": "231023"}, {"ref": "rajesharra/step-one", "kernel_id": "234608"}, {"ref": "mrjustpeachy/titanic-data-science-solutions", "kernel_id": "210071"}, {"ref": "samantha115/notebook65385b801a", "kernel_id": "207797"}, {"ref": "samantha115/titanic-data-science-analysis", "kernel_id": "207798"}, {"ref": "nosson613/notebookc354688269", "kernel_id": "206350"}, {"ref": "markfu/notebooka0299032ee", "kernel_id": "205988"}, {"ref": "prasadnbh/titanic-ship-survival-percentage", "kernel_id": "206081"}, {"ref": "brentos/notebooka47326ff9e", "kernel_id": "209676"}, {"ref": "phaneeswar/notebook7ead80ac9d", "kernel_id": "205928"}, {"ref": "chinacat/notebookdcacfeed7f", "kernel_id": "206445"}, {"ref": "shiners/titanic-data-science-solutions", "kernel_id": "206075"}, {"ref": "venterzhu/titanic-data-science-solutions", "kernel_id": "280425"}, {"ref": "sparky42/first-try", "kernel_id": "241462"}, {"ref": "vinodm78/titanic-test", "kernel_id": "206048"}, {"ref": "ramnavan/titanic-notebook", "kernel_id": "207637"}, {"ref": "skadiran/notebook9681978a04", "kernel_id": "206057"}, {"ref": "skadiran/test1", "kernel_id": "206055"}, {"ref": "valli4/notebookd7aab97bf1", "kernel_id": "211665"}, {"ref": "valli4/notebook436ad675bc", "kernel_id": "213492"}, {"ref": "valli4/notebookd947085d06", "kernel_id": "210753"}, {"ref": "iamacliche/notebook0464fd3d06", "kernel_id": "229089"}, {"ref": "prashet/notebook3ab7545033", "kernel_id": "206073"}, {"ref": "simonshyu/a-journey-through-titanic", "kernel_id": "240399"}, {"ref": "ashrutbhatia/notebook9bbd1a286e", "kernel_id": "206087"}, {"ref": "nickpasko/notebook85728d0985", "kernel_id": "206107"}, {"ref": "quarkgluons/notebook4fefadff56", "kernel_id": "206121"}, {"ref": "mashrum/test-machine-learning-exercise", "kernel_id": "206137"}, {"ref": "jackiehuang/exploratory-tutorial-titanic", "kernel_id": "208352"}, {"ref": "jackiehuang/recommend-an-interactive-data-science-tutorial", "kernel_id": "209151"}, {"ref": "jackiehuang/scikit-learn-ml-from-start-to-finish", "kernel_id": "209118"}, {"ref": "navee2/notebookafeba275c3", "kernel_id": "210030"}, {"ref": "kent119/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "226443"}, {"ref": "dunkin360/notebook211da52d64", "kernel_id": "206161"}, {"ref": "tetyanal/a-fresh-look-at-titanic", "kernel_id": "223920"}, {"ref": "ravinithesh/notebookcc0d3ad890", "kernel_id": "206164"}, {"ref": "shinstone/notebook2160884b54", "kernel_id": "206162"}, {"ref": "yash5595t/notebook71106f7d83", "kernel_id": "206340"}, {"ref": "czfshine/notebook0ac06da8c1", "kernel_id": "219722"}, {"ref": "kaushalprajapati/notebook9858f978c5", "kernel_id": "206175"}, {"ref": "sanyamjain22/notebook125825b92b", "kernel_id": "212992"}, {"ref": "orlando23/orlando-titanic", "kernel_id": "245399"}, {"ref": "jinyi1990/yi-s-first-attempt", "kernel_id": "206227"}, {"ref": "azou415/notebooke11af7a306", "kernel_id": "213713"}, {"ref": "smandalika/notebook46c8b71213", "kernel_id": "211316"}, {"ref": "ellimachine/notebookccd13c8565", "kernel_id": "206226"}, {"ref": "mediantha/notebook1d9280645c", "kernel_id": "206282"}, {"ref": "zxzx74147/notebooke9340a134a", "kernel_id": "206256"}, {"ref": "ustcjin/notebook71144f4909", "kernel_id": "206306"}, {"ref": "mangli/notebook8fa021ccea", "kernel_id": "206353"}, {"ref": "apwiegman/notebook3baba05a2f", "kernel_id": "206271"}, {"ref": "lingarajs/notebooke2568587db", "kernel_id": "209675"}, {"ref": "sanyasiraju/notebook9a2daf5e4f", "kernel_id": "253765"}, {"ref": "sanyasiraju/notebook8ccd60475b", "kernel_id": "226542"}, {"ref": "sanyasiraju/notebookac5998e823", "kernel_id": "222191"}, {"ref": "sanyasiraju/notebook65b0176f7a", "kernel_id": "222189"}, {"ref": "sanyasiraju/titanicmodelbuilder", "kernel_id": "222343"}, {"ref": "sanyasiraju/notebookefe4c55c67", "kernel_id": "223679"}, {"ref": "sanyasiraju/notebookcfc290fd01", "kernel_id": "224660"}, {"ref": "sanyasiraju/notebook1e98e83125", "kernel_id": "219291"}, {"ref": "narachannel/titanic-data-science-solutions-2", "kernel_id": "210560"}, {"ref": "narachannel/titanic-data-science-solutions", "kernel_id": "210561"}, {"ref": "cscscs/hello", "kernel_id": "206336"}, {"ref": "miczar/titanic-data-science-solutions", "kernel_id": "764516"}, {"ref": "yogeshjangam/notebook458a04c786", "kernel_id": "211472"}, {"ref": "oscaryang/titanic-with-adaboost", "kernel_id": "278801"}, {"ref": "kindbody/notebookc25f1a2c2e", "kernel_id": "208233"}, {"ref": "abhinavkapula/titanic-survival-prediction", "kernel_id": "206371"}, {"ref": "suvsharm/titanic-data-science-solutions", "kernel_id": "208453"}, {"ref": "kamal17/notebookcf9b129a61", "kernel_id": "213130"}, {"ref": "kamal17/notebook4f16b2d2d5", "kernel_id": "206409"}, {"ref": "kamal17/test-1-titianic", "kernel_id": "207771"}, {"ref": "radiatun96/notebook88112e233e", "kernel_id": "206412"}, {"ref": "yanyuzhy/notebook7f4d93c794", "kernel_id": "238677"}, {"ref": "ruhisharma/notebook6fd557ec5a", "kernel_id": "222882"}, {"ref": "lucascorreia/notebook70768e8682", "kernel_id": "207656"}, {"ref": "alexeyfedorenko/notebook82d3ce84f8", "kernel_id": "207636"}, {"ref": "alexeyfedorenko/titanic-script", "kernel_id": "207598"}, {"ref": "haojianfeng/titanic-passenger-survival-forecast-r", "kernel_id": "364965"}, {"ref": "nishalns/notebook542100f928", "kernel_id": "227512"}, {"ref": "nishalns/titanic", "kernel_id": "227515"}, {"ref": "jjacks/notebook31d0964bd3", "kernel_id": "206450"}, {"ref": "jjacks/notebook51605a417e", "kernel_id": "206457"}, {"ref": "briancuster/notebook6452146a07", "kernel_id": "206460"}, {"ref": "nayakswati/exploring-survival-on-the-titanic", "kernel_id": "207526"}, {"ref": "dsaini306/titanic-prediction-hello-worlds", "kernel_id": "219367"}, {"ref": "sudheer/notebook665f41890e", "kernel_id": "206507"}, {"ref": "jota57/notebook143878b73f", "kernel_id": "223142"}, {"ref": "jota57/titanic1", "kernel_id": "223143"}, {"ref": "varvind/notebooke146ee31f4", "kernel_id": "227706"}, {"ref": "wonghuang/notebook9875c305c8", "kernel_id": "241286"}, {"ref": "wonghuang/test-1", "kernel_id": "241296"}, {"ref": "fattail911/notebooke65ebb6acc", "kernel_id": "208646"}, {"ref": "nguyenhongchau/titanic-data-science-solutions", "kernel_id": "207560"}, {"ref": "nguyenhongchau/notebook07d3d2546b", "kernel_id": "207552"}, {"ref": "mohamad92gh/notebook77555ea97c", "kernel_id": "265999"}, {"ref": "belopheron/titanic-v0-1-0", "kernel_id": "210014"}, {"ref": "belopheron/notebookc52695baf1", "kernel_id": "210016"}, {"ref": "belopheron/notebook81be10f4ea", "kernel_id": "210017"}, {"ref": "belopheron/nb-titanic-v0-1-0", "kernel_id": "210021"}, {"ref": "rtcksk/notebook3aee903dd7", "kernel_id": "207583"}, {"ref": "jackchen135/notebooke9787c306e", "kernel_id": "231158"}, {"ref": "sk12190n/titanic-hello-world-random-forest", "kernel_id": "402401"}, {"ref": "throbi/notebooke2c433c7ca", "kernel_id": "207639"}, {"ref": "rzagalf/pruebastutorial", "kernel_id": "207652"}, {"ref": "rodrigo1224/notebook4a1e105b87", "kernel_id": "207662"}, {"ref": "talkdirty/notebook22a772a5b7", "kernel_id": "208897"}, {"ref": "herreman/notebook1ffdba157a", "kernel_id": "207673"}, {"ref": "inc007/notebook766cd37dcc", "kernel_id": "207683"}, {"ref": "inc007/titanic", "kernel_id": "207877"}, {"ref": "vfed6234/first-try", "kernel_id": "242370"}, {"ref": "jbandoro/titanic-intro", "kernel_id": "207733"}, {"ref": "jbandoro/titantic-introduction", "kernel_id": "207742"}, {"ref": "jbandoro/titantic-copied-from-jupyter", "kernel_id": "208393"}, {"ref": "zamman/notebook8b6cb441d4", "kernel_id": "210342"}, {"ref": "oda1234/notebookee3ac01b9e", "kernel_id": "217239"}, {"ref": "oda1234/testing", "kernel_id": "217247"}, {"ref": "oda1234/firsttest", "kernel_id": "207698"}, {"ref": "yoyomol/notebookfedcfdd957", "kernel_id": "210010"}, {"ref": "sidpachhai/notebook76588bdae7", "kernel_id": "207730"}, {"ref": "sidpachhai/sid-train-kaggle", "kernel_id": "207731"}, {"ref": "kreshnik/notebook08bba9f897", "kernel_id": "207744"}, {"ref": "wsygzyx/notebook922903d859", "kernel_id": "221081"}, {"ref": "aiuser/titanic-r-script-1", "kernel_id": "211486"}, {"ref": "eldarsabanovic/titanic-data-science-my-solutions", "kernel_id": "208253"}, {"ref": "hanadinh/notebook499654c082", "kernel_id": "207780"}, {"ref": "tengdahan/try-titanic", "kernel_id": "244013"}, {"ref": "sonesuke/notebook66772ef9e7", "kernel_id": "214164"}, {"ref": "michael860120/notebookcae9d5881b", "kernel_id": "207821"}, {"ref": "wunderbar/titanic-data-science-solutions", "kernel_id": "208417"}, {"ref": "jimpage/notebookd154cb3016", "kernel_id": "207814"}, {"ref": "jimpage/notebook8bf9d71db4", "kernel_id": "207816"}, {"ref": "simplex7/notebookd97f835f5d", "kernel_id": "208131"}, {"ref": "simplex7/titanic-data-science-solutions", "kernel_id": "211559"}, {"ref": "simplex7/titanic-data-science-solutions-b37865", "kernel_id": "212346"}, {"ref": "chenqw/notebookc380d2ec51", "kernel_id": "207995"}, {"ref": "jschultz/first-try", "kernel_id": "207864"}, {"ref": "jschultz/notebook57e70dd8d6", "kernel_id": "208507"}, {"ref": "erosion888/notebook97fb9e63eb", "kernel_id": "208330"}, {"ref": "erosion888/testt", "kernel_id": "208314"}, {"ref": "jeremylinchina/daaaaaaa", "kernel_id": "208642"}, {"ref": "jeremylinchina/titanic-sc", "kernel_id": "208058"}, {"ref": "musicjazz5/notebook41d3bf8982", "kernel_id": "207898"}, {"ref": "musicjazz5/notebookdda3bcfc2e", "kernel_id": "207902"}, {"ref": "lgncsk/notebookd8aa6ae7ed", "kernel_id": "207904"}, {"ref": "lgncsk/titanic", "kernel_id": "207891"}, {"ref": "jayeshdatascience/notebook7b060350cb", "kernel_id": "207901"}, {"ref": "manimozhi/notebookf29c0e92f7", "kernel_id": "207930"}, {"ref": "narainrohan/notebook061e9918c7", "kernel_id": "211068"}, {"ref": "seanhgorman/an-interactive-data-science-tutorial", "kernel_id": "215074"}, {"ref": "seanhgorman/commit-trial", "kernel_id": "215124"}, {"ref": "dantocsaigon/titanic-data-science-solutions", "kernel_id": "243582"}, {"ref": "dantocsaigon/notebookaada25535a", "kernel_id": "242903"}, {"ref": "rizo83/rense-s-titanic-kernell", "kernel_id": "251532"}, {"ref": "abhinav15feb/huston-we-have-a-titanic", "kernel_id": "207999"}, {"ref": "jokingpoet/try-titanic", "kernel_id": "208495"}, {"ref": "omsri108/titanic", "kernel_id": "207987"}, {"ref": "bingohong/notebook00e11731e0", "kernel_id": "208015"}, {"ref": "bingohong/exploratory-tutorial-titanic", "kernel_id": "225119"}, {"ref": "bingohong/introduction-to-ensembling-stacking-in-python", "kernel_id": "218133"}, {"ref": "virinchi4/titanic-analysis", "kernel_id": "216555"}, {"ref": "imperia/notebook932afe6ad8", "kernel_id": "208013"}, {"ref": "shin2017/notebook9042ae5081", "kernel_id": "220169"}, {"ref": "shin2017/notebook5cc9c4a881", "kernel_id": "224774"}, {"ref": "camillemo/first-titanic", "kernel_id": "274378"}, {"ref": "eyoshida/test1", "kernel_id": "208033"}, {"ref": "vinodshamsundar123/notebook1e5d0269cf", "kernel_id": "220180"}, {"ref": "himanshudua/notebook8880c74563", "kernel_id": "217796"}, {"ref": "dugarsumit/titanic-data-science-solutions", "kernel_id": "212559"}, {"ref": "fishballlin/abcde", "kernel_id": "208304"}, {"ref": "krowosdogg/notebook91e4b6ac27", "kernel_id": "208087"}, {"ref": "pjackson5/notebook5e24e6d62e", "kernel_id": "208122"}, {"ref": "heyujia/titanic-data-science-solutions", "kernel_id": "262735"}, {"ref": "cuthbertcai/the-second-tutorial", "kernel_id": "317783"}, {"ref": "cuthbertcai/titanic-tutorial", "kernel_id": "314403"}, {"ref": "lgmdl666/notebook1abab96471", "kernel_id": "208139"}, {"ref": "djzhangbi/exploring-survival-on-the-titanic", "kernel_id": "208623"}, {"ref": "djzhangbi/notebookfdaefd8b3f", "kernel_id": "208629"}, {"ref": "ymlai87416/titanic-score-over-80-part-1-data-preparation", "kernel_id": "311848"}, {"ref": "ymlai87416/titanic-score-over-80-part-2-model-selection", "kernel_id": "311850"}, {"ref": "ymlai87416/titanic-score-over-80-part-3-fine-tune", "kernel_id": "311859"}, {"ref": "ymlai87416/titanic-using-tensorflow-nn", "kernel_id": "302972"}, {"ref": "mostlyharmless/titanic-data-science-solutions", "kernel_id": "208216"}, {"ref": "krashcan/gender-only", "kernel_id": "208368"}, {"ref": "krashcan/tree-method", "kernel_id": "208910"}, {"ref": "jking54/hello-world", "kernel_id": "208231"}, {"ref": "leonardkong/notebook29637919f8", "kernel_id": "219108"}, {"ref": "leonardkong/notebook2bacd6d929", "kernel_id": "256713"}, {"ref": "leonardkong/fork-of-scikit-learn-ml-from-start-to-finish", "kernel_id": "261033"}, {"ref": "leonardkong/fork-of-titanic-best-working-classifier", "kernel_id": "267897"}, {"ref": "vinitmehta/titanic-data-science-solutions", "kernel_id": "369837"}, {"ref": "vinitmehta/my-first-kernel", "kernel_id": "208244"}, {"ref": "zhaohan1/notebookfaba2e7933", "kernel_id": "208882"}, {"ref": "kjo144/notebook2e2560d6d4", "kernel_id": "208271"}, {"ref": "paulodetarso/voidscript-2", "kernel_id": "208273"}, {"ref": "paulodetarso/notebookc722952cbf", "kernel_id": "208261"}, {"ref": "paulodetarso/voidnotebook-2", "kernel_id": "228765"}, {"ref": "paulodetarso/voidscript-1", "kernel_id": "228785"}, {"ref": "paulodetarso/notebook5cea2c163e", "kernel_id": "251669"}, {"ref": "paulodetarso/notebookb7b595612a", "kernel_id": "251670"}, {"ref": "paulodetarso/titanic-almost-as-simples-as-possible", "kernel_id": "251658"}, {"ref": "paulodetarso/titanic-as-simples-as-possible", "kernel_id": "243491"}, {"ref": "snagesh2/titanic-try1", "kernel_id": "208293"}, {"ref": "tduval/notebook9b1bbd82ba", "kernel_id": "208357"}, {"ref": "tduval/test-1", "kernel_id": "208358"}, {"ref": "wfshan/notebook1b3d6604c3", "kernel_id": "212170"}, {"ref": "vivek09/notebook5ef78fb569", "kernel_id": "208348"}, {"ref": "vivek09/notebook870e21715e", "kernel_id": "208349"}, {"ref": "najqazi/firsttest", "kernel_id": "208354"}, {"ref": "najqazi/titanic-data-science-solutions", "kernel_id": "208797"}, {"ref": "orangutanklaus/titanic-data-science-solutions", "kernel_id": "208384"}, {"ref": "binkwu/notebook6d34a5bc1d", "kernel_id": "208867"}, {"ref": "ashwinkumardandavati/notebook654d7d6839", "kernel_id": "208918"}, {"ref": "sjjoseph/notebook07fd25bdca", "kernel_id": "208376"}, {"ref": "karanchudasama1/titanic-survival", "kernel_id": "268482"}, {"ref": "mariozhou/notebook3c3a5365fc", "kernel_id": "208396"}, {"ref": "ntguardian/titanic-notebook", "kernel_id": "208405"}, {"ref": "visignibraem/an-interactive-data-science-tutorial", "kernel_id": "247008"}, {"ref": "visignibraem/clean", "kernel_id": "242958"}, {"ref": "mcreddy91/rolling-in-the-deep", "kernel_id": "209587"}, {"ref": "tropicalritz/notebook80119ea058", "kernel_id": "208425"}, {"ref": "verdecal/epic-titanic-disaster", "kernel_id": "211942"}, {"ref": "verdecal/test-script-svc2", "kernel_id": "219103"}, {"ref": "verdecal/test-script-svc", "kernel_id": "218583"}, {"ref": "verdecal/xboost-test", "kernel_id": "218600"}, {"ref": "sachinkulkarni/an-interactive-data-science-tutorial", "kernel_id": "210090"}, {"ref": "lfrancois/test42", "kernel_id": "208498"}, {"ref": "eggplantpie/notebook0cff6b04d2", "kernel_id": "209649"}, {"ref": "notewee/notebook24303ae49d", "kernel_id": "243824"}, {"ref": "golthitarun/notebook0b6716e1ac", "kernel_id": "209984"}, {"ref": "oyugik/simple-ml-script", "kernel_id": "227108"}, {"ref": "cedrickchee/introduction-to-ensembling-stacking-in-python", "kernel_id": "209658"}, {"ref": "xowind/notebook39e7683278", "kernel_id": "208605"}, {"ref": "dogwood/titanic-from-cleaning-to-visualisation", "kernel_id": "209550"}, {"ref": "kundanshah/notebook05855403fe", "kernel_id": "210622"}, {"ref": "kundanshah/an-interactive-data-science-tutorial", "kernel_id": "211367"}, {"ref": "wupeng2017/notebookbe3927eb76", "kernel_id": "209730"}, {"ref": "wupeng2017/notebookf9b8a4fbe4", "kernel_id": "208783"}, {"ref": "janzhen/notebookcb4b7d9f37", "kernel_id": "249019"}, {"ref": "janzhen/for-test", "kernel_id": "249015"}, {"ref": "tigertiger/let-s-go", "kernel_id": "209709"}, {"ref": "yorzhang/rolling-in-the-deep", "kernel_id": "208813"}, {"ref": "yorzhang/notebook5cd8b8248c", "kernel_id": "208834"}, {"ref": "traw1234/notebook30b9ec9fc2", "kernel_id": "208768"}, {"ref": "traw1234/titanic-problem", "kernel_id": "208770"}, {"ref": "stefanospert/trying-to-figure-out-kaggle", "kernel_id": "208780"}, {"ref": "simranshergill/titanic-competition-simran-shergill", "kernel_id": "210385"}, {"ref": "simranshergill/titanic-competition", "kernel_id": "210387"}, {"ref": "tamaki0506/notebookb1e31ea6ea", "kernel_id": "208877"}, {"ref": "srikanths31/an-interactive-data-science-tutorial", "kernel_id": "210444"}, {"ref": "srikanths31/predict-survival", "kernel_id": "213012"}, {"ref": "leoxu80/notebookb8e2ca81c3", "kernel_id": "208914"}, {"ref": "zac401/zl-firstscript", "kernel_id": "209334"}, {"ref": "chnhaoqiu/a-journey-through-titanic-24603d", "kernel_id": "236283"}, {"ref": "utsavpatel/first", "kernel_id": "210778"}, {"ref": "utsavpatel/titanic", "kernel_id": "213489"}, {"ref": "utsavpatel/titanic-test", "kernel_id": "214115"}, {"ref": "alex2young/an-interactive-data-science-tutorial", "kernel_id": "220223"}, {"ref": "alex2young/intro-to-kaggle", "kernel_id": "208954"}, {"ref": "lilinuncio/notebookf3ff855dd8", "kernel_id": "212342"}, {"ref": "feeling/notebookc17e397b84", "kernel_id": "208965"}, {"ref": "shiyili/notebook9f66909a58", "kernel_id": "218366"}, {"ref": "shiyili/notebook82772d296a", "kernel_id": "218367"}, {"ref": "shiyili/titanic-data-science-competition-my-practice", "kernel_id": "218368"}, {"ref": "uhappylogic/notebook026b5e9363", "kernel_id": "208998"}, {"ref": "kojitakahashi6/notebooka68eab2a51", "kernel_id": "246538"}, {"ref": "kojitakahashi6/notebookd6e530b68b", "kernel_id": "246539"}, {"ref": "kojitakahashi6/titanic-classification", "kernel_id": "246540"}, {"ref": "kojitakahashi6/titanic", "kernel_id": "248478"}, {"ref": "kojitakahashi6/titanic-koji", "kernel_id": "302637"}, {"ref": "skemeth/titanic-kaggle-test", "kernel_id": "225485"}, {"ref": "lennoo/notebookdb61e212ed", "kernel_id": "276903"}, {"ref": "sonarsushant/titanic-try", "kernel_id": "236727"}, {"ref": "ahmedalhadi/you-are-most-likely-to-survive-titanic", "kernel_id": "211227"}, {"ref": "lisajing/notebook05d6775590", "kernel_id": "241902"}, {"ref": "lisajing/predict-titanic-lisa-py", "kernel_id": "241832"}, {"ref": "amyhemmeter/notebooka73e695556", "kernel_id": "277933"}, {"ref": "josepandreu/titanic-visualization-with-ggplot2", "kernel_id": "489048"}, {"ref": "sharonzhang91/notebooka021c5198a", "kernel_id": "209088"}, {"ref": "darlangodat/rolling-in-the-deep", "kernel_id": "209171"}, {"ref": "simo2712/titanic-disaster-ml-first-project", "kernel_id": "367928"}, {"ref": "shadow20x/notebook59bbf3aed6", "kernel_id": "209230"}, {"ref": "revster/notebook2743ba4cf6", "kernel_id": "209220"}, {"ref": "revster/trial", "kernel_id": "209208"}, {"ref": "opsraven/tests", "kernel_id": "209209"}, {"ref": "opsraven/notebook7de5a1407e", "kernel_id": "209210"}, {"ref": "opsraven/notebookd7d3024593", "kernel_id": "209212"}, {"ref": "kamranmk/notebook6740e99a14", "kernel_id": "247337"}, {"ref": "sophie888/titanic-data-science-solutions", "kernel_id": "209234"}, {"ref": "dongguoz/titanic-notebook", "kernel_id": "236293"}, {"ref": "boyuan86/notebook17a5d40f40", "kernel_id": "209250"}, {"ref": "andrewsinclair/titanic", "kernel_id": "209392"}, {"ref": "marigov/fork-of-notebook917cf17ae2", "kernel_id": "263786"}, {"ref": "marigov/notebook917cf17ae2", "kernel_id": "263749"}, {"ref": "snzivgupta/notebook8bf755686d", "kernel_id": "237671"}, {"ref": "mrcschwering/was-there-enough-space-for-leo", "kernel_id": "227890"}, {"ref": "jumanamp/exploratory-tutorial-titanic", "kernel_id": "209321"}, {"ref": "jumanamp/titanic-initial-try", "kernel_id": "209330"}, {"ref": "ktsantinis/titanic-first-attempt", "kernel_id": "210885"}, {"ref": "ktsantinis/notebook6114a473b8", "kernel_id": "210880"}, {"ref": "noelhym/first-script-of-noelh", "kernel_id": "209340"}, {"ref": "kyleingraham/titanic-survivor-prediction-scikit-learn", "kernel_id": "499657"}, {"ref": "kyleingraham/titanic-survivor-prediction", "kernel_id": "396531"}, {"ref": "codezwt/notebook4c484e5b66", "kernel_id": "210986"}, {"ref": "codezwt/titanictest", "kernel_id": "210294"}, {"ref": "jhonatancasale/scikit-learn-ml-from-start-to-finish", "kernel_id": "221148"}, {"ref": "thingvellir/notebookfbfd9bad32", "kernel_id": "210268"}, {"ref": "kyb11111/titnic", "kernel_id": "209535"}, {"ref": "kyb11111/tatinic", "kernel_id": "209537"}, {"ref": "kyb11111/notebook0e7019f334", "kernel_id": "209502"}, {"ref": "hoomanm/rolling-in-the-deep", "kernel_id": "209469"}, {"ref": "yangbill/firsttest", "kernel_id": "209442"}, {"ref": "sahiljaina/one01", "kernel_id": "226305"}, {"ref": "ciao1993/dark-sea", "kernel_id": "209441"}, {"ref": "ciao1993/exploring-survival-on-the-titanic", "kernel_id": "211357"}, {"ref": "ciao1993/notebook2ae6593231", "kernel_id": "211393"}, {"ref": "ciao1993/dark-cold-sea", "kernel_id": "217526"}, {"ref": "ellaenchanted48/titanic", "kernel_id": "209447"}, {"ref": "nickhand/titanic-survival-prediction", "kernel_id": "223541"}, {"ref": "zkx19900212/notebookfe671c1144", "kernel_id": "210445"}, {"ref": "zkx19900212/notebook98da26bbb7", "kernel_id": "210427"}, {"ref": "bdbigelow12/survivaltrial", "kernel_id": "215168"}, {"ref": "iamdeowanshi/app-py", "kernel_id": "209488"}, {"ref": "zatrixsafe/notebook12c152690b", "kernel_id": "241731"}, {"ref": "vijayasekaran/sample", "kernel_id": "210559"}, {"ref": "vijayasekaran/titanic1", "kernel_id": "210556"}, {"ref": "wgtamg/notebookaedb8dd968", "kernel_id": "209526"}, {"ref": "varunbhargava17/notebook821d0b9850", "kernel_id": "214515"}, {"ref": "pagewang/notebooka7906217a1", "kernel_id": "209715"}, {"ref": "kanchanwali/notebooka5b2f6e3ca", "kernel_id": "210375"}, {"ref": "carlpch/notebookae2009e4dd", "kernel_id": "214483"}, {"ref": "joseph2017/happydd", "kernel_id": "209560"}, {"ref": "freefrog/5-alphanumeric", "kernel_id": "209583"}, {"ref": "robinxu2000/titanic-data-science-solutions", "kernel_id": "209591"}, {"ref": "robinxu2000/script-kernel", "kernel_id": "209640"}, {"ref": "reohinho/notebookfb55b2a287", "kernel_id": "233741"}, {"ref": "etmmafl/titanic-data-science-solutions-4ad7a6", "kernel_id": "235732"}, {"ref": "sroodkcab/notebookb550a496cc", "kernel_id": "216483"}, {"ref": "coladad/titanic-data-science-solutions", "kernel_id": "212795"}, {"ref": "coladad/notebook945db8fd75", "kernel_id": "213039"}, {"ref": "gauravsatav/exploring-survival-on-the-titanic", "kernel_id": "209642"}, {"ref": "gauravsatav/myscript", "kernel_id": "221066"}, {"ref": "zhanggengxin/notebook64ef99dcec", "kernel_id": "218044"}, {"ref": "lievendr/survivalrs-an-introduction-to-data-science", "kernel_id": "355287"}, {"ref": "enigmali/notebook5ebdf78abf", "kernel_id": "209667"}, {"ref": "anandpareek/library-randomforest", "kernel_id": "209680"}, {"ref": "bg5678/notebookab688818ea", "kernel_id": "209683"}, {"ref": "xxmuyu/try-titanic-s-tutorial", "kernel_id": "215421"}, {"ref": "vladsobol/notebookaef8b14c2c", "kernel_id": "211577"}, {"ref": "vladsobol/first-aza", "kernel_id": "211579"}, {"ref": "yaochengfly/notebookb64549324d", "kernel_id": "236155"}, {"ref": "yaochengfly/kaggle-first-ipythonnotebook", "kernel_id": "237449"}, {"ref": "assaflavon/notebook2fa54ce6db", "kernel_id": "209694"}, {"ref": "xyqmichelle/titanic-trial", "kernel_id": "213790"}, {"ref": "liulijuan0507/notebook2f10f88c06", "kernel_id": "240517"}, {"ref": "madhurlenka/5-day-data-challenge-day-2", "kernel_id": "478282"}, {"ref": "mdplace/testing", "kernel_id": "227464"}, {"ref": "aniket2211/prediction-using-randomforest-1", "kernel_id": "239081"}, {"ref": "abuduorui/notebook427c5d92bb", "kernel_id": "221791"}, {"ref": "royibeni/notebookece72b66f6", "kernel_id": "211383"}, {"ref": "hyeaves/notebook8fd84d1012", "kernel_id": "247985"}, {"ref": "dancolestock/notebookc970e8bfc8", "kernel_id": "209772"}, {"ref": "fabioperrone/fabook", "kernel_id": "224749"}, {"ref": "fabioperrone/tdss-fabbook", "kernel_id": "224753"}, {"ref": "cristhro/the-optimal-parameters-of-the-random-forest-model", "kernel_id": "229555"}, {"ref": "cristhro/notebookbb3a33213d", "kernel_id": "229559"}, {"ref": "thele0nx/titanic-first", "kernel_id": "225908"}, {"ref": "shivvani/notebook35b381fb9e", "kernel_id": "226729"}, {"ref": "gianpaulrachiele/survival-predictions", "kernel_id": "210091"}, {"ref": "janvirana/notebookdd3b151cf4", "kernel_id": "224755"}, {"ref": "nibedita2305/notebook1769f37a9c", "kernel_id": "227730"}, {"ref": "pkuashi/an-interactive-data-science-tutorial-for-try", "kernel_id": "222041"}, {"ref": "veitcel/notebook8d6566e5ec", "kernel_id": "211489"}, {"ref": "veitcel/notebook719d08f085", "kernel_id": "211490"}, {"ref": "n30l4t3r4l/notebookdf56398b78", "kernel_id": "216613"}, {"ref": "atkr323/notebook6ae7b5f43c", "kernel_id": "209918"}, {"ref": "jubaer/comp1", "kernel_id": "249364"}, {"ref": "tthien/meowdasd", "kernel_id": "210592"}, {"ref": "ehariz/notebookcc2c8a083c", "kernel_id": "258832"}, {"ref": "timmyneutron/notebook9f3beaf022", "kernel_id": "209997"}, {"ref": "timmyneutron/notebook19045ba7bc", "kernel_id": "209995"}, {"ref": "timmyneutron/titanic-survival", "kernel_id": "210000"}, {"ref": "cgomes/notebook8be4a2cd6d", "kernel_id": "209979"}, {"ref": "cgomes/notebookbd50def8d3", "kernel_id": "227400"}, {"ref": "narinder/titanic-survival-prediction", "kernel_id": "210042"}, {"ref": "emarin/notebookba8431d843", "kernel_id": "245731"}, {"ref": "kranthireddy/myfirstscript", "kernel_id": "212475"}, {"ref": "kranthireddy/notebooka5d3ca42ff", "kernel_id": "229777"}, {"ref": "kranthireddy/titanic-data-science-solutions", "kernel_id": "229778"}, {"ref": "joshicola/testingmykernel", "kernel_id": "240159"}, {"ref": "joshicola/mytestscript-py", "kernel_id": "240161"}, {"ref": "girichandu99/notebook2c5e46d76e", "kernel_id": "210076"}, {"ref": "piment24/notebook00c4f6ba8e", "kernel_id": "210458"}, {"ref": "boominxboom1/notebook645c3f1a29", "kernel_id": "210093"}, {"ref": "legaldatascientist/titanic-kaggle-test-set", "kernel_id": "210110"}, {"ref": "stmuah/notebook2ee97c5679", "kernel_id": "210120"}, {"ref": "sheepishly/notebook54093ea6a2", "kernel_id": "210142"}, {"ref": "sheepishly/henry-titanic", "kernel_id": "210143"}, {"ref": "rmc108/notebookdbde774b42", "kernel_id": "211795"}, {"ref": "mbalchan/titanic-trial-1", "kernel_id": "210794"}, {"ref": "mbalchan/an-interactive-data-science-tutorial", "kernel_id": "210797"}, {"ref": "johnwilles/notebook226f494080", "kernel_id": "210196"}, {"ref": "mozein/notebooke61ffbb138", "kernel_id": "210244"}, {"ref": "tubajosh25/notebook6181ceaaa4", "kernel_id": "210248"}, {"ref": "chupau96/titanic-challenge-test", "kernel_id": "251371"}, {"ref": "blthree/notebook5ee1245f51", "kernel_id": "210274"}, {"ref": "susliawan/titanic", "kernel_id": "259293"}, {"ref": "linhnhatnguyen92/titanic-data-science-solutions-copy", "kernel_id": "210586"}, {"ref": "arvindn/test1", "kernel_id": "213863"}, {"ref": "arvindn/script1", "kernel_id": "224521"}, {"ref": "arvindn/notebook66df300907", "kernel_id": "224515"}, {"ref": "aongao/nasa-astronauts-1959-present", "kernel_id": "215432"}, {"ref": "zacsims/notebook5b9581ef18", "kernel_id": "210315"}, {"ref": "luwei114/notebookb3a47f7558", "kernel_id": "210319"}, {"ref": "subgutti/titanic", "kernel_id": "218024"}, {"ref": "usumai/notebook8b99753b9f", "kernel_id": "212163"}, {"ref": "usumai/titanictest", "kernel_id": "212172"}, {"ref": "huinanliu/notebook4f2779f943", "kernel_id": "212049"}, {"ref": "fykenneth/second", "kernel_id": "232005"}, {"ref": "fykenneth/notebook71a470693f", "kernel_id": "210418"}, {"ref": "fykenneth/first-try-on-titanic", "kernel_id": "229944"}, {"ref": "zhaoyuhang/3fen-alpha", "kernel_id": "212984"}, {"ref": "shiv2503/notebookef7c788cfe", "kernel_id": "210429"}, {"ref": "devyzhou/notebookb1ab414cea", "kernel_id": "210432"}, {"ref": "meetsaparia/notebookac826969cf", "kernel_id": "210497"}, {"ref": "simonavril/notebook002c2778df", "kernel_id": "226350"}, {"ref": "simonavril/tim-s-notes-on-titanic-logistic-regression", "kernel_id": "226352"}, {"ref": "qianchen2017/first-project", "kernel_id": "210485"}, {"ref": "qianchen2017/notebook69b7340818", "kernel_id": "210478"}, {"ref": "sanliang0308/notebook033ce4660b", "kernel_id": "210575"}, {"ref": "amlaanb/titanic-survival", "kernel_id": "254343"}, {"ref": "alexzhaor/titanic", "kernel_id": "317504"}, {"ref": "sporelax/titanic-data-science-solutions", "kernel_id": "210551"}, {"ref": "sporelax/introduction-to-ensembling-stacking-in-python", "kernel_id": "210760"}, {"ref": "linwu0/notebook9954480f3b", "kernel_id": "233275"}, {"ref": "linwu0/notebookfe906e4545", "kernel_id": "233270"}, {"ref": "mebbesson/mykahgle", "kernel_id": "210525"}, {"ref": "shammi/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "226092"}, {"ref": "rijukhatri/notebook499c104ef5", "kernel_id": "210532"}, {"ref": "jeto42/notebookcdadbdd9af", "kernel_id": "210601"}, {"ref": "matt993/notebook78116689eb", "kernel_id": "242175"}, {"ref": "mahaveer02/titanic-survive-model-in-r", "kernel_id": "234218"}, {"ref": "colinzan/notebook2c51c955a2", "kernel_id": "210588"}, {"ref": "ayuhsu/notebook35c56e6330", "kernel_id": "210603"}, {"ref": "fannie7/introduction-to-ensembling-stacking-in-python", "kernel_id": "212139"}, {"ref": "bornot7/notebooked86cefed8", "kernel_id": "221108"}, {"ref": "adricano/exploring-survival-on-the-titanic", "kernel_id": "216796"}, {"ref": "r0610205/titanic-data-science-solutions", "kernel_id": "210700"}, {"ref": "zinref/notebookfa5444cc42", "kernel_id": "210749"}, {"ref": "agneseb/notebook73a0360847", "kernel_id": "222112"}, {"ref": "hiten26/titanic-py", "kernel_id": "210777"}, {"ref": "jsomalwar/notebook793230fb18", "kernel_id": "210792"}, {"ref": "ottmanie/notebookad3d3b81ab", "kernel_id": "210832"}, {"ref": "robertdavidwest/titanic", "kernel_id": "210808"}, {"ref": "piotrekw/notebookede401362b", "kernel_id": "210816"}, {"ref": "piotrekw/notebookf2cb507a5c", "kernel_id": "231421"}, {"ref": "piotrekw/notebook87d6f5a9fc", "kernel_id": "231415"}, {"ref": "saborissov/notebookec697d877b", "kernel_id": "213585"}, {"ref": "umanzor/notebookeaee3ed0c4", "kernel_id": "210809"}, {"ref": "hakaari/notebook7521778265", "kernel_id": "210862"}, {"ref": "wolfhoward/notebookd7e9afa462", "kernel_id": "210846"}, {"ref": "marrvolo/notebooktest", "kernel_id": "210890"}, {"ref": "patrickrhbrown/titanic-classification-model", "kernel_id": "320896"}, {"ref": "chrisstow/titanic-example", "kernel_id": "212609"}, {"ref": "creatrixbot/notebook367439a5d0", "kernel_id": "210934"}, {"ref": "mrueda91/an-interactive-data-science-tutorial", "kernel_id": "211620"}, {"ref": "hpcnerd/notebookaa338ca472", "kernel_id": "212234"}, {"ref": "kingbali/notebook2ef9fb70f1", "kernel_id": "210979"}, {"ref": "sahrear/notebookad57bfb3b5", "kernel_id": "211013"}, {"ref": "ranaenae/hello-world", "kernel_id": "210996"}, {"ref": "eunidad/notebook65302ad3ab", "kernel_id": "220663"}, {"ref": "benjaminchai/notebook31eaf6d5a3", "kernel_id": "211049"}, {"ref": "ethanhek/notebook841746f2c5", "kernel_id": "217273"}, {"ref": "ethanhek/notebook69ec9a63e4", "kernel_id": "217275"}, {"ref": "ethanhek/notebookf52d821ee8", "kernel_id": "217276"}, {"ref": "jayyin/notebook805cf9553f", "kernel_id": "211181"}, {"ref": "jayyin/an-interactive-data-science-tutorial", "kernel_id": "228888"}, {"ref": "jayyin/titanic-data-science-solutions-9d18cb", "kernel_id": "230561"}, {"ref": "jayyin/titanic", "kernel_id": "230723"}, {"ref": "jayyin/notebook3e180a6715", "kernel_id": "230576"}, {"ref": "jayyin/notebook267d12df1a", "kernel_id": "230583"}, {"ref": "jayyin/notebook06638c39ed", "kernel_id": "230622"}, {"ref": "alecksjohanssen/an-interactive-data-science-tutorial-5ee375", "kernel_id": "211133"}, {"ref": "murakami203/notebook05770cfd93", "kernel_id": "211132"}, {"ref": "dmmarkey1/notebook6c32cf6013", "kernel_id": "211128"}, {"ref": "ramaravindd/notebook532c412f94", "kernel_id": "214659"}, {"ref": "gautamnvs/notebook744ffa4799", "kernel_id": "211154"}, {"ref": "medivhc/notebook65a8bb1c87", "kernel_id": "244651"}, {"ref": "medivhc/a-journey-through-titanic", "kernel_id": "244649"}, {"ref": "medivhc/notebooka8c556305c", "kernel_id": "244465"}, {"ref": "medivhc/titanic-data-science-solutions", "kernel_id": "244478"}, {"ref": "ankursin/an-interactive-data-science-tutorial-149c9a", "kernel_id": "260419"}, {"ref": "ankursin/an-interactive-data-science-tutorial", "kernel_id": "212229"}, {"ref": "ankursin/an-interactive-data-science-tutorial-edfb54", "kernel_id": "215385"}, {"ref": "ankursin/fork-of-an-interactive-data-science-tutorial-edfb5", "kernel_id": "216630"}, {"ref": "timbaney1989/first-kernel", "kernel_id": "225780"}, {"ref": "timbaney1989/titanic-correlation-map-and-machine-learning", "kernel_id": "254209"}, {"ref": "timbaney1989/another-titanic-kernel", "kernel_id": "306435"}, {"ref": "hustrogeryu/myprojectyu", "kernel_id": "211263"}, {"ref": "jhwu1995/notebookb3b961326b", "kernel_id": "211429"}, {"ref": "taeyangoh/notebookfaf3e36c51", "kernel_id": "211212"}, {"ref": "xupanda/notebookacf6807e90", "kernel_id": "218042"}, {"ref": "xupanda/introduction-to-ensembling-stacking-in-python", "kernel_id": "218065"}, {"ref": "xupanda/an-interactive-data-science-tutorial", "kernel_id": "218066"}, {"ref": "xupanda/titanic-random-forest-82-78", "kernel_id": "227360"}, {"ref": "wongseza/my-titanic", "kernel_id": "254344"}, {"ref": "hemalssheth/notebook4a5779575a", "kernel_id": "211236"}, {"ref": "chufengkui/titan-test", "kernel_id": "211332"}, {"ref": "devoshree/notebook5480e1ebdb", "kernel_id": "225246"}, {"ref": "skychen/notebook704a342ef6", "kernel_id": "211266"}, {"ref": "stonegz/an-interactive-data-science-tutorial-c64c82", "kernel_id": "218478"}, {"ref": "willsiv/notebook44332ea398", "kernel_id": "211303"}, {"ref": "ugnimje/notebook22884661ee", "kernel_id": "219016"}, {"ref": "ugnimje/notebookb9e138fcfa", "kernel_id": "228639"}, {"ref": "iver666/notebook8f5ea72417", "kernel_id": "230816"}, {"ref": "iver666/t111111", "kernel_id": "230817"}, {"ref": "iver666/notebook0af2152bae", "kernel_id": "213971"}, {"ref": "xushengyao/notebooka2efbae3f0", "kernel_id": "215284"}, {"ref": "xushengyao/notebook38f8bc7c2f", "kernel_id": "213065"}, {"ref": "edelfava82/learning-python-from-titanic-disaster", "kernel_id": "214140"}, {"ref": "edelfava82/prova", "kernel_id": "214163"}, {"ref": "trompete/notebookd9785a6894", "kernel_id": "211402"}, {"ref": "bbence/bence-titanic-test", "kernel_id": "214287"}, {"ref": "sumitchansouliya/notebooke98ececf70", "kernel_id": "218618"}, {"ref": "sumitchansouliya/notebook83c4c34ccb", "kernel_id": "211392"}, {"ref": "sumitchansouliya/notebook3691ba29de", "kernel_id": "211364"}, {"ref": "captanc/fuzzy-dummy", "kernel_id": "211372"}, {"ref": "josephandreas/notebookc59ad24b4f", "kernel_id": "220106"}, {"ref": "josephandreas/an-interactive-data-science-tutorial-7212c9", "kernel_id": "222134"}, {"ref": "yangshusheng/titanic-data-science-solutions-c8a7ae", "kernel_id": "218928"}, {"ref": "bbugyi200/notebook1f53dabd56", "kernel_id": "258640"}, {"ref": "drkchoudary/notebook786d49092d", "kernel_id": "211575"}, {"ref": "drkchoudary/notebook913f5d1991", "kernel_id": "212835"}, {"ref": "vladiz/notebook41efb8fb22", "kernel_id": "235774"}, {"ref": "vladiz/notebook0dc1b3f4ae", "kernel_id": "211693"}, {"ref": "wuxiyu/first-try", "kernel_id": "212965"}, {"ref": "wuxiyu/notebookad87970afa", "kernel_id": "212955"}, {"ref": "samyfox/titanic-script", "kernel_id": "211508"}, {"ref": "bettymo/notebook0b02647fd3", "kernel_id": "211495"}, {"ref": "saraalkh/notebook08fe6afaac", "kernel_id": "211543"}, {"ref": "rodrigolozano/notebookc46c9b8b4e", "kernel_id": "211551"}, {"ref": "addemelier/notebookd83747e81c", "kernel_id": "211570"}, {"ref": "abhishek286/hello-py", "kernel_id": "213364"}, {"ref": "guansuns/notebook256432212e", "kernel_id": "211623"}, {"ref": "chiangtw/notebook120189ca8d", "kernel_id": "234400"}, {"ref": "sakthiece2011/an-interactive-data-science-tutorial", "kernel_id": "211628"}, {"ref": "emily91/test1", "kernel_id": "212110"}, {"ref": "coolufo/notebookb48656c94d", "kernel_id": "252788"}, {"ref": "coolufo/notebook98ff5c90f6", "kernel_id": "252886"}, {"ref": "somnath91/notebookf145caf202", "kernel_id": "211650"}, {"ref": "philfan/an-interactive-data-science-tutorial", "kernel_id": "211681"}, {"ref": "aojin91/notebook4d1771fbdd", "kernel_id": "216109"}, {"ref": "aojin91/ajtitanictest", "kernel_id": "216110"}, {"ref": "orandus/notebook8bcdec6fb2", "kernel_id": "211709"}, {"ref": "explowable/testtitanic", "kernel_id": "235324"}, {"ref": "pmanheim/titanic", "kernel_id": "229967"}, {"ref": "jeffpogo/notebook61cf92faca", "kernel_id": "211793"}, {"ref": "ashogea/notebookb638c99104", "kernel_id": "212463"}, {"ref": "drrines/titanic-tutorial-notebook-1", "kernel_id": "212626"}, {"ref": "sarabonne/titanic-data-science-solutions", "kernel_id": "216143"}, {"ref": "jwsyd81/notebook26531450c0", "kernel_id": "217266"}, {"ref": "kwongtszyanjane/notebook31bf31e4c5", "kernel_id": "211876"}, {"ref": "jnietzel/notebook54f81318e4", "kernel_id": "217100"}, {"ref": "jnietzel/titanic-data-science-solutions", "kernel_id": "278260"}, {"ref": "zhuzhou/notebook8401692814", "kernel_id": "211898"}, {"ref": "zhuzhou/zhu-s-notebook", "kernel_id": "211997"}, {"ref": "robone/hello", "kernel_id": "211971"}, {"ref": "datafleuret/titanic-data-science-solutions", "kernel_id": "212137"}, {"ref": "datafleuret/an-interactive-data-science-tutorial", "kernel_id": "212746"}, {"ref": "kueipo/super-guide-eda-of-titanic-updated-tree-digraph", "kernel_id": "355833"}, {"ref": "cryptica/sssssssss", "kernel_id": "212456"}, {"ref": "yuatlas/notebook40a4b70ff4", "kernel_id": "212432"}, {"ref": "yuatlas/notebook78a9be3723", "kernel_id": "212440"}, {"ref": "royatwork/notebookb87ece93db", "kernel_id": "212016"}, {"ref": "royatwork/roysanalysis", "kernel_id": "227077"}, {"ref": "royatwork/notebook942f6ba319", "kernel_id": "227081"}, {"ref": "ashiato45/titanic-data-science-solutions", "kernel_id": "212084"}, {"ref": "sameerqayyum/first-iteration", "kernel_id": "212104"}, {"ref": "sameerqayyum/notebook2579baab0c", "kernel_id": "212023"}, {"ref": "govardhan100/notebook835f9bdd26", "kernel_id": "215572"}, {"ref": "looseleaf0727/notebook627647ed6c", "kernel_id": "212095"}, {"ref": "ra960618/zombie", "kernel_id": "212182"}, {"ref": "ra960618/zombie2", "kernel_id": "237559"}, {"ref": "kmanishk/an-interactive-data-science-tutorial", "kernel_id": "212233"}, {"ref": "deciphertheunknown/notebookc75ea08151", "kernel_id": "215693"}, {"ref": "joelhanson/notebookb228d69b67", "kernel_id": "233155"}, {"ref": "joelhanson/test-for-titanic", "kernel_id": "249066"}, {"ref": "choupicece/titanic", "kernel_id": "212242"}, {"ref": "tzungtzu/notebook5bbfbd814e", "kernel_id": "212706"}, {"ref": "jiangzhiping/notebookf87172c9bf", "kernel_id": "212256"}, {"ref": "jiangzhiping/a-journey-through-titanic", "kernel_id": "212363"}, {"ref": "jiangzhiping/first-py", "kernel_id": "212154"}, {"ref": "hirofuji/notebookaf8e03580b", "kernel_id": "259821"}, {"ref": "dataverge/notebook1f92a77fb5", "kernel_id": "212165"}, {"ref": "pccw1996/testing-t", "kernel_id": "251342"}, {"ref": "pccw1996/notebookdc171b358f", "kernel_id": "251473"}, {"ref": "pccw1996/notebookce5bdb80c2", "kernel_id": "231981"}, {"ref": "pccw1996/notebook0cfd1cdc3d", "kernel_id": "231865"}, {"ref": "pccw1996/notebook8a95ec97d7", "kernel_id": "232357"}, {"ref": "littlelocaldragon/notebookfe87cb6b7e", "kernel_id": "274268"}, {"ref": "kevinbuis/titanic-data-science-solutions-d37a9a", "kernel_id": "225944"}, {"ref": "kevinbuis/scikit-learn-ml-from-start-to-finish", "kernel_id": "225970"}, {"ref": "flpxiao/notebooka45ce8e6fb", "kernel_id": "212264"}, {"ref": "flpxiao/notebooka10fc30ead", "kernel_id": "212809"}, {"ref": "flpxiao/my-first-attempt", "kernel_id": "214111"}, {"ref": "joyimusigma/notebook1d576ec5d8", "kernel_id": "212263"}, {"ref": "mciesiel/titanic", "kernel_id": "212259"}, {"ref": "sebekx/notebook2eb4131a5f", "kernel_id": "212284"}, {"ref": "altereber/notebook06feddd55b", "kernel_id": "212307"}, {"ref": "frank6696/introduction-to-ensembling-stacking-in-python", "kernel_id": "267433"}, {"ref": "wd0221/notebook530a7c6a3b", "kernel_id": "213038"}, {"ref": "infoscirocks/notebook720ae024b2", "kernel_id": "217711"}, {"ref": "infoscirocks/notebookd7de06d16e", "kernel_id": "212370"}, {"ref": "krice100/notebookf123f8f71b", "kernel_id": "212424"}, {"ref": "nerfpte/notebook31b4a65afa", "kernel_id": "212565"}, {"ref": "mohaoran/a-journey-through-titanic", "kernel_id": "232427"}, {"ref": "dongliangchang/2017-7-28-testing", "kernel_id": "322841"}, {"ref": "kimandgumi/notebook444ffaa08d", "kernel_id": "215161"}, {"ref": "dnerves/notebookc9fb901ae3", "kernel_id": "216717"}, {"ref": "dnerves/titanic-machine-learning", "kernel_id": "212828"}, {"ref": "hjshin0007/titanic-learning", "kernel_id": "231868"}, {"ref": "ellguso/notebook59b8fd6185", "kernel_id": "212469"}, {"ref": "lucioluo/an-interactive-data-science-tutorial", "kernel_id": "222144"}, {"ref": "alexai/competition1", "kernel_id": "223978"}, {"ref": "alexai/competition2", "kernel_id": "224057"}, {"ref": "alexai/competition3", "kernel_id": "224065"}, {"ref": "alexai/competition4", "kernel_id": "224073"}, {"ref": "alexai/competition5", "kernel_id": "224079"}, {"ref": "alexai/defautscript3", "kernel_id": "212560"}, {"ref": "alexai/defautscript2", "kernel_id": "212488"}, {"ref": "alexai/defautscript4", "kernel_id": "213582"}, {"ref": "alexai/defautscript45", "kernel_id": "218639"}, {"ref": "alexai/defautscript6", "kernel_id": "218333"}, {"ref": "alexai/defautscript41", "kernel_id": "215069"}, {"ref": "alexai/defautscript5", "kernel_id": "214073"}, {"ref": "hietwpoweh/notebookc4c6b48121", "kernel_id": "236335"}, {"ref": "cambellcode/notebook92eec69133", "kernel_id": "212613"}, {"ref": "josediaz01/an-interactive-data-science-tutorial", "kernel_id": "241784"}, {"ref": "wbooth/titanic-1", "kernel_id": "212629"}, {"ref": "wbooth/first-forest", "kernel_id": "218507"}, {"ref": "tntzy2000/testa", "kernel_id": "223451"}, {"ref": "tntzy2000/testbyhenry", "kernel_id": "223456"}, {"ref": "tntzy2000/notebookfc1fa13319", "kernel_id": "223459"}, {"ref": "takehilo/titanic-machine-learning-from-disaster", "kernel_id": "238008"}, {"ref": "alexalmeida/notebook29ab7123fc", "kernel_id": "215591"}, {"ref": "adbib1995/notebook87b69da659", "kernel_id": "252001"}, {"ref": "adbib1995/first-mission", "kernel_id": "259170"}, {"ref": "adbib1995/notebook5e12c59a3e", "kernel_id": "263867"}, {"ref": "jakepalmer/notebook58dbc7dfd6", "kernel_id": "212750"}, {"ref": "viperking/notebookee5df5c1d4", "kernel_id": "212897"}, {"ref": "wsg1992/titanic-data-science-solutions", "kernel_id": "214057"}, {"ref": "billash/notebook46895821f3", "kernel_id": "212780"}, {"ref": "chiragt97/notebookf70fa93392", "kernel_id": "214729"}, {"ref": "shashank101992/notebook1a1e4414ef", "kernel_id": "213428"}, {"ref": "lbrietzke/notebookded45c68a4", "kernel_id": "212861"}, {"ref": "leageshine/notebook8d72f126aa", "kernel_id": "213032"}, {"ref": "leageshine/notebook8b1b2e8aa2", "kernel_id": "259254"}, {"ref": "bobbykopp/first-tries", "kernel_id": "212810"}, {"ref": "bobbykopp/titanic-first-try", "kernel_id": "212802"}, {"ref": "liusenbin/notebook03926104e0", "kernel_id": "212916"}, {"ref": "visceral/titanic-blues", "kernel_id": "212866"}, {"ref": "siarez/test1", "kernel_id": "212872"}, {"ref": "adoy101/notebook573f069888", "kernel_id": "218051"}, {"ref": "sangeetajha/notebook271b0370fd", "kernel_id": "212908"}, {"ref": "yomizuno/notebook529875853e", "kernel_id": "212913"}, {"ref": "zychensdcc/notebookfc3fa0b23c", "kernel_id": "218780"}, {"ref": "noelzubin/notebookf53d5ab9de", "kernel_id": "218311"}, {"ref": "noelzubin/notebookf38db11d90", "kernel_id": "214616"}, {"ref": "noelzubin/notebookf91d7e62a2", "kernel_id": "219638"}, {"ref": "noelzubin/notebooke609a1583e", "kernel_id": "219634"}, {"ref": "mombassa/my-first-attempt-for-titanic-survival-problem", "kernel_id": "319961"}, {"ref": "netssfy/learning-curve", "kernel_id": "255184"}, {"ref": "netssfy/hello-ml-world", "kernel_id": "256165"}, {"ref": "simirec/machine-learning-from-disaster", "kernel_id": "255193"}, {"ref": "halina/test-notebook", "kernel_id": "213015"}, {"ref": "hectrix08/survive-train", "kernel_id": "213007"}, {"ref": "hectrix08/notebook48be886947", "kernel_id": "213008"}, {"ref": "hectrix08/visulaisationofdata", "kernel_id": "367760"}, {"ref": "hectrix08/nonmlsolution", "kernel_id": "366895"}, {"ref": "rontar002/titanic-problem", "kernel_id": "213016"}, {"ref": "prakharg24/notebook23b66d43be", "kernel_id": "213356"}, {"ref": "roee87/notebookc2edb635db", "kernel_id": "213153"}, {"ref": "gggggach/notebook2e779990e9", "kernel_id": "213073"}, {"ref": "aifuture/notebookce60c1f433", "kernel_id": "213105"}, {"ref": "crepe3/crepe", "kernel_id": "213191"}, {"ref": "crepe3/first-tests", "kernel_id": "215705"}, {"ref": "crepe3/randomtitanic", "kernel_id": "270182"}, {"ref": "crepe3/logistictitanic", "kernel_id": "270171"}, {"ref": "chengnuo/notebook8931c8acca", "kernel_id": "213215"}, {"ref": "chengnuo/test1", "kernel_id": "213221"}, {"ref": "kwesinunoo/exploring-survival-on-the-titanic", "kernel_id": "238813"}, {"ref": "deltat0/notebook590d4da6fd", "kernel_id": "213227"}, {"ref": "maurom/prueba1", "kernel_id": "226133"}, {"ref": "maurom/titanic-prueba-1", "kernel_id": "226082"}, {"ref": "abobel/notebookf980d29eb2", "kernel_id": "219193"}, {"ref": "bayoung/test-script", "kernel_id": "213253"}, {"ref": "cxl109120/notebook1509a12c2f", "kernel_id": "213280"}, {"ref": "astronut/an-interactive-data-science-tutorial", "kernel_id": "225381"}, {"ref": "bssasikanth/satanic-titanic", "kernel_id": "216753"}, {"ref": "bssasikanth/notebook4f20a682ad", "kernel_id": "217445"}, {"ref": "bssasikanth/notebook8badaa8730", "kernel_id": "213327"}, {"ref": "tfan0328/notebook2a744fa0b0", "kernel_id": "246473"}, {"ref": "qweasddd/an-interactive-data-science-tutorial-490b1d", "kernel_id": "214801"}, {"ref": "qweasddd/titanic-data-science-solutions", "kernel_id": "214888"}, {"ref": "qweasddd/a-journey-through-titanic", "kernel_id": "216843"}, {"ref": "qweasddd/introduction-to-ensembling-stacking-in-python", "kernel_id": "220455"}, {"ref": "qweasddd/titanic-random-forest-82-78", "kernel_id": "220429"}, {"ref": "charbull/titanickernel", "kernel_id": "537402"}, {"ref": "xpavlic4/notebooke6164af9f5", "kernel_id": "216390"}, {"ref": "xpavlic4/an-interactive-data-science-tutorial", "kernel_id": "216399"}, {"ref": "charlesspo/titanic-test", "kernel_id": "215070"}, {"ref": "antoniosergioaraujo/notebookbee87f2022", "kernel_id": "215980"}, {"ref": "pibhadau/notebookf5ca153bd4", "kernel_id": "217026"}, {"ref": "ursvamshee/hello-world", "kernel_id": "214413"}, {"ref": "ursvamshee/fork-of-hello-world", "kernel_id": "214420"}, {"ref": "ursvamshee/test-script-1", "kernel_id": "214411"}, {"ref": "krisbaumann/hello-world", "kernel_id": "213970"}, {"ref": "williamrosa/learning-machine-learning-and-trying-not-to-sink", "kernel_id": "441300"}, {"ref": "carlosyiip/scikit-learn-ml-from-start-to-finish-6a40ee", "kernel_id": "260833"}, {"ref": "carlosyiip/notebook0bcfa872a0", "kernel_id": "214756"}, {"ref": "surfyblonde/titanic-work", "kernel_id": "213480"}, {"ref": "yewang0414/notebooke9d3c8b2cb", "kernel_id": "214302"}, {"ref": "yewang0414/notebook837b85630d", "kernel_id": "214308"}, {"ref": "yewang0414/notebookb5f27a886d", "kernel_id": "214309"}, {"ref": "leagto/notebook468aef6b5d", "kernel_id": "213568"}, {"ref": "nicolash/notebook7ec3d91eef", "kernel_id": "213532"}, {"ref": "mtakata/notebookcfac429c6e", "kernel_id": "216609"}, {"ref": "mtakata/notebookcd5d325f0e", "kernel_id": "216610"}, {"ref": "hgsb10125/titanic-test", "kernel_id": "218663"}, {"ref": "hgsb10125/notebook281e61dca3", "kernel_id": "213557"}, {"ref": "brandymat/a-journey-on-the-titanic-my-first-ml-project", "kernel_id": "218295"}, {"ref": "brandymat/titanic-kernel-test", "kernel_id": "214334"}, {"ref": "thalissonns/notebook653c48174e", "kernel_id": "217672"}, {"ref": "vishnuprashadkumar/titanic-data-science-solutions", "kernel_id": "253512"}, {"ref": "zhejiayuma/notebookb285c8323a", "kernel_id": "240837"}, {"ref": "athabascaai/generic", "kernel_id": "219354"}, {"ref": "athabascaai/athabasca-titanic-competition-svm", "kernel_id": "217827"}, {"ref": "athabascaai/titanic-passenger-graphs-for-feature-inspection", "kernel_id": "217523"}, {"ref": "athabascaai/notebookbe6108f360", "kernel_id": "216806"}, {"ref": "athabascaai/xgboost-test-script", "kernel_id": "218491"}, {"ref": "athabascaai/test-titanic-svm", "kernel_id": "218569"}, {"ref": "athabascaai/athabasca-titanic-competition-timed-rand-forest", "kernel_id": "214350"}, {"ref": "athabascaai/athabasca-titanic-competition-random-forest", "kernel_id": "214340"}, {"ref": "athabascaai/athabasca-titanic-competition-linear-svm", "kernel_id": "214342"}, {"ref": "athabascaai/test-script", "kernel_id": "213786"}, {"ref": "athabascaai/athabasca-titanic-competition-rf-linear-svm", "kernel_id": "213681"}, {"ref": "carvermichael/notebook24d22115d8", "kernel_id": "213644"}, {"ref": "fadeawaygod/notebook7002089d9c", "kernel_id": "213712"}, {"ref": "ziscor/notebook6bc62e28ec", "kernel_id": "216400"}, {"ref": "ziscor/notebook54cc9724ad", "kernel_id": "216353"}, {"ref": "ziscor/notebookfe67a71602", "kernel_id": "216354"}, {"ref": "hongmeixie/notebook18350d558f", "kernel_id": "224439"}, {"ref": "hongmeixie/notebook115aa6ee05", "kernel_id": "213749"}, {"ref": "jjdabluejay/titanic-survival-predictor", "kernel_id": "214317"}, {"ref": "kuldeepjaimini/titanic-dataset", "kernel_id": "221227"}, {"ref": "hnike25/titanic-deep-learning-keras-79-acc", "kernel_id": "929171"}, {"ref": "vaibhav24/notebookd1676bb5e2", "kernel_id": "213882"}, {"ref": "vaibhav24/titanic", "kernel_id": "213889"}, {"ref": "saiful07/notebook051911ddd5", "kernel_id": "220857"}, {"ref": "deheng/1-test", "kernel_id": "214848"}, {"ref": "kabirahuja2431/titanic-ml", "kernel_id": "283719"}, {"ref": "liangyingyi/notebookb2d22d1e18", "kernel_id": "214095"}, {"ref": "ishitachaturvedi/notebookded348fc9b", "kernel_id": "214731"}, {"ref": "runjiet/notebook8fdedb895b", "kernel_id": "213887"}, {"ref": "koolio92/notebook9bb2c1cbee", "kernel_id": "213935"}, {"ref": "nalawadepiyush/notebookab2bfae381", "kernel_id": "213939"}, {"ref": "renil93/titanic-data-science-solutions", "kernel_id": "214096"}, {"ref": "anusiec/notebook073b48e697", "kernel_id": "240765"}, {"ref": "anusiec/titanic", "kernel_id": "240767"}, {"ref": "anusiec/new-titanic", "kernel_id": "240771"}, {"ref": "wizzup/by-gender", "kernel_id": "214072"}, {"ref": "tenesmus/exploring-survival-on-the-titanic", "kernel_id": "215726"}, {"ref": "gauravp3005/notebook65f6ab15f6", "kernel_id": "261821"}, {"ref": "gauravp3005/notebooka4f766d541", "kernel_id": "261837"}, {"ref": "emalgorithm/titanic", "kernel_id": "263194"}, {"ref": "klinke/sinking-feeling", "kernel_id": "214180"}, {"ref": "ffosb22/titanic-model", "kernel_id": "214197"}, {"ref": "imitskovets/notebook69b06e60e5", "kernel_id": "215700"}, {"ref": "orrbarkat/notebookf938ab71cc", "kernel_id": "243759"}, {"ref": "orrbarkat/asdfadf", "kernel_id": "255960"}, {"ref": "ecogeco1/notebook71b596150a", "kernel_id": "214271"}, {"ref": "ecogeco1/titanic-test", "kernel_id": "214272"}, {"ref": "ecogeco1/titanic", "kernel_id": "214465"}, {"ref": "ecogeco1/titanic1", "kernel_id": "214471"}, {"ref": "ecogeco1/titanic-2", "kernel_id": "214474"}, {"ref": "ecogeco1/titanic-3", "kernel_id": "214477"}, {"ref": "elphaeris/justforplay", "kernel_id": "221326"}, {"ref": "stefankarl/firsttest", "kernel_id": "214345"}, {"ref": "xiaoan/titanic-data-science-solutions", "kernel_id": "217432"}, {"ref": "harsh2/exploring-the-titanic-dataset", "kernel_id": "270998"}, {"ref": "harsh2/titanic-survival", "kernel_id": "562759"}, {"ref": "harsh2/titanic-survival-predic", "kernel_id": "663668"}, {"ref": "jolyon1234/notebook534ceb9097", "kernel_id": "214828"}, {"ref": "jolyon1234/titanic-best-working-classifier", "kernel_id": "215030"}, {"ref": "andianderle/titanic-survival-analysis-in-python", "kernel_id": "214898"}, {"ref": "benkim96/notebook2f7170b503", "kernel_id": "215829"}, {"ref": "benkim96/notebook187b6feceb", "kernel_id": "216205"}, {"ref": "bbergjoh/notebook74091dfdc5", "kernel_id": "214482"}, {"ref": "pancheng/titanic-exercise", "kernel_id": "225878"}, {"ref": "jackwangcs/notebookcb8c81942e", "kernel_id": "214529"}, {"ref": "jackwangcs/notebookf5fe465e89", "kernel_id": "242604"}, {"ref": "vaishk30/notebook6bcf9b69c0", "kernel_id": "246919"}, {"ref": "vaishk30/titanic1", "kernel_id": "246921"}, {"ref": "vaishk30/notebook7db1482874", "kernel_id": "218389"}, {"ref": "pankajprathi/titanic", "kernel_id": "230041"}, {"ref": "tony98/total", "kernel_id": "214702"}, {"ref": "lweber/notebookc0296f388b", "kernel_id": "214576"}, {"ref": "yiqingkaggle/notebook549b714131", "kernel_id": "214596"}, {"ref": "yiqingkaggle/notebook2a450af48c", "kernel_id": "223041"}, {"ref": "yccing/notebook9453bb7a70", "kernel_id": "214612"}, {"ref": "viveks716/ml-test-version", "kernel_id": "216202"}, {"ref": "viveks716/learning-to-explore-data-set", "kernel_id": "226026"}, {"ref": "dilipkumar636/notebookf7276cd8c9", "kernel_id": "214701"}, {"ref": "hassanashraf/notebook4325d2be61", "kernel_id": "246906"}, {"ref": "dassio/dassio-test", "kernel_id": "214657"}, {"ref": "fulame/1st-script", "kernel_id": "217435"}, {"ref": "anilkumarsyd/first-hello", "kernel_id": "214686"}, {"ref": "alopexplenus/an-interactive-data-science-tutorial", "kernel_id": "227212"}, {"ref": "shuttlesworthneo/titanic-solution-a-beginner-s-guide", "kernel_id": "351869"}, {"ref": "ttsdmmn/notebook0e478abc1e", "kernel_id": "233888"}, {"ref": "ttsdmmn/notebook8f3a115733", "kernel_id": "233850"}, {"ref": "ttsdmmn/ttsdmmn-s-first-script", "kernel_id": "233843"}, {"ref": "aliang19117910/notebook06e8945f26", "kernel_id": "214770"}, {"ref": "ray2017/notebook3eadda4805", "kernel_id": "214779"}, {"ref": "jeremydefibaugh/tutorial", "kernel_id": "214798"}, {"ref": "byzenma/notebook7d51d6b52d", "kernel_id": "216265"}, {"ref": "dreyer/titanic-exploration-cin", "kernel_id": "399763"}, {"ref": "quduskunle/titanic-prediction", "kernel_id": "509400"}, {"ref": "irineu93/notebook32d4543c29", "kernel_id": "214899"}, {"ref": "vacuon/notebook9f602476b0", "kernel_id": "214959"}, {"ref": "clairekunesh/predicting-titanic-survival-logistic-regression", "kernel_id": "313378"}, {"ref": "hanmingchen/sadsad", "kernel_id": "215326"}, {"ref": "ashcanpete/notebook892fc7be30", "kernel_id": "217040"}, {"ref": "ashcanpete/learning", "kernel_id": "219504"}, {"ref": "ashcanpete/notebook96b124286d", "kernel_id": "219506"}, {"ref": "ashcanpete/studying-tutorial", "kernel_id": "219507"}, {"ref": "flyhere/myfirsttest", "kernel_id": "215023"}, {"ref": "sreejith0217/notebook779c7689e1", "kernel_id": "215107"}, {"ref": "lucky72o/notebook19792c99ae", "kernel_id": "226165"}, {"ref": "lucky72o/notebookb43f5089de", "kernel_id": "246907"}, {"ref": "alexgkearney/notebook6c61819f9d", "kernel_id": "227109"}, {"ref": "alexgkearney/test-2", "kernel_id": "227124"}, {"ref": "alexgkearney/test-3", "kernel_id": "227731"}, {"ref": "gkaraman/an-interactive-data-science-tutorial", "kernel_id": "217907"}, {"ref": "manika15/titanic-data-science-solutions", "kernel_id": "534238"}, {"ref": "aditya67/titanic-data-set", "kernel_id": "290315"}, {"ref": "hiddenfox/notebook29458f618e", "kernel_id": "243804"}, {"ref": "themightykevin/testscript", "kernel_id": "215280"}, {"ref": "ankitamadapur/notebookcf668e8eb0", "kernel_id": "252969"}, {"ref": "ldj6692240/test-ldj2", "kernel_id": "215391"}, {"ref": "ldj6692240/titanicxgboostscript", "kernel_id": "268750"}, {"ref": "jakebisch/titanic-survival", "kernel_id": "215307"}, {"ref": "jakebisch/notebooka55434c823", "kernel_id": "218759"}, {"ref": "charliezhan1986/notebookd721e40091", "kernel_id": "215333"}, {"ref": "badarinathks/notebook7bcaa5b644", "kernel_id": "215594"}, {"ref": "ayanami0/titanic-notebook", "kernel_id": "221848"}, {"ref": "guiire/notebookcc4c95fb97", "kernel_id": "219491"}, {"ref": "scottding/test1", "kernel_id": "215393"}, {"ref": "pepezoro/introduction-to-ensembling-stacking-in-python", "kernel_id": "219007"}, {"ref": "prasunmishra/titanic-data-science-experiment", "kernel_id": "225864"}, {"ref": "prasunmishra/fork-of-titanic-data-science-solutions", "kernel_id": "235250"}, {"ref": "prasunmishra/notebookd7c6cf99e3", "kernel_id": "230540"}, {"ref": "prasunmishra/titanic-data-science-solutions", "kernel_id": "230546"}, {"ref": "u12373649tukscoza/notebookfd0f0f278b", "kernel_id": "218237"}, {"ref": "u12373649tukscoza/notebookbafa191395", "kernel_id": "215424"}, {"ref": "u12373649tukscoza/notebooka618a21d92", "kernel_id": "215579"}, {"ref": "u12373649tukscoza/notebook09e2e145a7", "kernel_id": "215680"}, {"ref": "shreyajain2208/notebookb7df979fc4", "kernel_id": "226501"}, {"ref": "shreyajain2208/notebookb901135957", "kernel_id": "226487"}, {"ref": "liangchoon/notebookfa4baeeb71", "kernel_id": "215450"}, {"ref": "ameerah/testing", "kernel_id": "215491"}, {"ref": "skyrex/notebook9712169f47", "kernel_id": "215523"}, {"ref": "jkyyeh/notebook8b65282b8d", "kernel_id": "216533"}, {"ref": "cgqfzy/notebookaa0a3051f1", "kernel_id": "216245"}, {"ref": "ricky1993/notebook89981f26e2", "kernel_id": "215552"}, {"ref": "makar123/notebooka2bbdedea9", "kernel_id": "215543"}, {"ref": "dmeeuwsen/titanic-data-science-solutions", "kernel_id": "218322"}, {"ref": "nchakik/notebook76fd567c62", "kernel_id": "223886"}, {"ref": "kameshkumar/notebook1ee7d15af5", "kernel_id": "215557"}, {"ref": "ironhead/notebookf56539025f", "kernel_id": "226717"}, {"ref": "brandonweidman/notebook64a8125643", "kernel_id": "226221"}, {"ref": "brandonweidman/notebook603575124e", "kernel_id": "226223"}, {"ref": "a1phazer0/notebook97dafa89af", "kernel_id": "215592"}, {"ref": "cmrudi/firsttest", "kernel_id": "215652"}, {"ref": "rhubarb/notebook96f664015f", "kernel_id": "215638"}, {"ref": "nghiapd/notebook877d616139", "kernel_id": "273157"}, {"ref": "manabutaniguchi/titanic-scirpt", "kernel_id": "234106"}, {"ref": "manabutaniguchi/notebookd47d2ba818", "kernel_id": "234107"}, {"ref": "manabutaniguchi/training-20170515", "kernel_id": "236046"}, {"ref": "manabutaniguchi/notebook546fcf6cd6", "kernel_id": "219698"}, {"ref": "manabutaniguchi/notebook2b976715c8", "kernel_id": "226899"}, {"ref": "manabutaniguchi/training-titanic", "kernel_id": "226903"}, {"ref": "manabutaniguchi/notebookf2319e3786", "kernel_id": "226892"}, {"ref": "manabutaniguchi/titanic-trainning", "kernel_id": "227558"}, {"ref": "manabutaniguchi/notebook629449f24c", "kernel_id": "228355"}, {"ref": "amatveychuk/notebook7abc54168d", "kernel_id": "215834"}, {"ref": "shapaglogeo/titanicwreck", "kernel_id": "220834"}, {"ref": "turboluping/input-titanic", "kernel_id": "233230"}, {"ref": "lvincent/r-exploring-survival-on-the-titanic", "kernel_id": "266629"}, {"ref": "lvincent/test-titanic", "kernel_id": "215724"}, {"ref": "rahul2708/notebook3202386726", "kernel_id": "268025"}, {"ref": "yl315504/12345", "kernel_id": "215756"}, {"ref": "smartiot/notebook5372f070c8", "kernel_id": "215769"}, {"ref": "mbarake/notebookf2ddff3d5c", "kernel_id": "215773"}, {"ref": "mbarake/notebooke716d8d7b8", "kernel_id": "215775"}, {"ref": "turntrout/titanic-data-exploration", "kernel_id": "228166"}, {"ref": "turntrout/rudimentary-titanic-data-exploration", "kernel_id": "231055"}, {"ref": "shibaji7/script1", "kernel_id": "215957"}, {"ref": "dimstunt/notebook9c3fd57ee7", "kernel_id": "222350"}, {"ref": "chaturvedirishabh91/notebook54b90fade4", "kernel_id": "223643"}, {"ref": "vedantsinghania09/notebook29e24cb39c", "kernel_id": "215818"}, {"ref": "williamgxie/notebookc09ddbdaa4", "kernel_id": "215825"}, {"ref": "phamnuhuyentrang/notebookebd3cd211a", "kernel_id": "231673"}, {"ref": "leoybo/titaniclearningqi", "kernel_id": "244432"}, {"ref": "leoybo/titaniclearningqi-e41330", "kernel_id": "244433"}, {"ref": "mimishkin/notebookcd409042a9", "kernel_id": "217261"}, {"ref": "skapur/notebook94179a48fc", "kernel_id": "215971"}, {"ref": "petrodatatoenergy/exploring-survival-on-the-titanic", "kernel_id": "216004"}, {"ref": "danielpg/dpg-titanic-test", "kernel_id": "234114"}, {"ref": "danielpg/notebook5a2b7cfbf9", "kernel_id": "234610"}, {"ref": "dancorc/titanic-data-science-solutions", "kernel_id": "216008"}, {"ref": "dancorc/notebook498604cb61", "kernel_id": "215998"}, {"ref": "jainashish/notebook8750afb82f", "kernel_id": "223237"}, {"ref": "gaurav101/practice", "kernel_id": "216031"}, {"ref": "gaurav101/notebook9a00398153", "kernel_id": "216032"}, {"ref": "maomeara/import", "kernel_id": "221245"}, {"ref": "maomeara/notebook685f835767", "kernel_id": "221286"}, {"ref": "willkoehrsen/notebook12475c7b30", "kernel_id": "216026"}, {"ref": "sylvainklam/notebook391c88afc5", "kernel_id": "216953"}, {"ref": "sylvainklam/testt", "kernel_id": "216954"}, {"ref": "germandata/notebookea669d20cd", "kernel_id": "216061"}, {"ref": "st03lh/titanic-practise", "kernel_id": "219391"}, {"ref": "wjsheng/testing1-2-3", "kernel_id": "216092"}, {"ref": "srini1304/titanic-firstcut", "kernel_id": "349870"}, {"ref": "sduvedi/notebook5f6a8a7307", "kernel_id": "216260"}, {"ref": "paulinelelandais/why-does-life-suck", "kernel_id": "216113"}, {"ref": "vlecous1/viv-titanic-training-dashboard", "kernel_id": "231893"}, {"ref": "alvaromarx/notebooke151802270", "kernel_id": "216163"}, {"ref": "alexbooth/titanic", "kernel_id": "217964"}, {"ref": "jorobe/my-first-kaggle-kernel", "kernel_id": "217095"}, {"ref": "blhanson/titanic-first-attempt", "kernel_id": "216307"}, {"ref": "jiangel/titanic-rf", "kernel_id": "217356"}, {"ref": "lucasjo/notebooka09ea21511", "kernel_id": "216333"}, {"ref": "hello321/notebook5815db92ae", "kernel_id": "220447"}, {"ref": "abhi63269/notebook7c433cb1de", "kernel_id": "220302"}, {"ref": "riazraza/notebook0fb6347046", "kernel_id": "216372"}, {"ref": "vishnugangineni/exploring-titanic-dataset-in-python", "kernel_id": "238060"}, {"ref": "jamespang/notebook1127926362", "kernel_id": "216370"}, {"ref": "scapodicasa/titanic-test", "kernel_id": "216445"}, {"ref": "shanmugamvallam/titanic-machine-learning-solutions", "kernel_id": "216459"}, {"ref": "qiubu123/notebookbf3adfb8fc", "kernel_id": "267121"}, {"ref": "qiubu123/notebook42faa5ae12", "kernel_id": "223605"}, {"ref": "kevinyangkaggle/notebook55b1906129", "kernel_id": "216519"}, {"ref": "nareaero/titanic-survival-python-solution", "kernel_id": "235112"}, {"ref": "adithyaram91/notebook577adde4b2", "kernel_id": "216462"}, {"ref": "amritas22/notebook1d51ba8e3a", "kernel_id": "216527"}, {"ref": "arunkumarj/try-titanic-problem", "kernel_id": "244740"}, {"ref": "struggler1990/notebookc29e456e07", "kernel_id": "216598"}, {"ref": "buddhiv/my-test-script", "kernel_id": "270973"}, {"ref": "daryakotelnikova/notebooka8a8d25c33", "kernel_id": "216516"}, {"ref": "daryakotelnikova/notebookf7d805dea5", "kernel_id": "216514"}, {"ref": "rafidmorshedi/notebook2028e4bdc7", "kernel_id": "216575"}, {"ref": "winklerand/notebookeaa443db31", "kernel_id": "216619"}, {"ref": "fyhtea/titanic", "kernel_id": "216601"}, {"ref": "bernardofrassy/titanic-competition-first-kernel", "kernel_id": "284501"}, {"ref": "pedrolipari/notebookaa5170c931", "kernel_id": "216668"}, {"ref": "dsvip15/titanic", "kernel_id": "221974"}, {"ref": "korenkov/titanic", "kernel_id": "216641"}, {"ref": "ffedericoni/notebook0163ebeea2", "kernel_id": "216648"}, {"ref": "ghosthbl/titanic-machine-learning-from-disaster-using-py", "kernel_id": "278871"}, {"ref": "kiralyandras/titanic-tutorial", "kernel_id": "217384"}, {"ref": "kilkki/titanic-survivors-random-forest-prediction-2-2", "kernel_id": "315913"}, {"ref": "kilkki/titanic-survivors-features-1-2", "kernel_id": "314936"}, {"ref": "xinquan/notebook025f6d1b76", "kernel_id": "234990"}, {"ref": "erdcpatel/notebookb0de95c365", "kernel_id": "263912"}, {"ref": "erdcpatel/titanic-getting-started", "kernel_id": "379399"}, {"ref": "erdcpatel/notebookf0db430648", "kernel_id": "217128"}, {"ref": "erdcpatel/notebook6bcf43f895", "kernel_id": "219636"}, {"ref": "erdcpatel/notebookc59f0fc3c5", "kernel_id": "219637"}, {"ref": "nthibert/notebook5aa8704f88", "kernel_id": "217542"}, {"ref": "andremann/titanic-ml-test", "kernel_id": "217475"}, {"ref": "hakobtam/notebook941d895705", "kernel_id": "216801"}, {"ref": "natepgarrett/titanic-xgboost-python", "kernel_id": "873739"}, {"ref": "natepgarrett/test-models", "kernel_id": "942691"}, {"ref": "almadalivia/notebook7962bf6e59", "kernel_id": "217003"}, {"ref": "mluckydwyer/notebookf94e03c412", "kernel_id": "271599"}, {"ref": "rvislaywade/a-first-timer-tackles-the-titanic", "kernel_id": "626348"}, {"ref": "dintmeister/notebooka8a6c02629", "kernel_id": "216868"}, {"ref": "lqbzkaggle/notebookfabe2380cb", "kernel_id": "217605"}, {"ref": "lqbzkaggle/notebookce4f885abd", "kernel_id": "217606"}, {"ref": "lqbzkaggle/notebookb4cfaed94d", "kernel_id": "217611"}, {"ref": "benhaisting/notebook03a9e31dd2", "kernel_id": "216921"}, {"ref": "benhaisting/exploring-survival-on-the-titanic", "kernel_id": "236526"}, {"ref": "faresmo/notebookf9d80191dd", "kernel_id": "216943"}, {"ref": "faresmo/notebook276b93fa91", "kernel_id": "216936"}, {"ref": "faresmo/fares", "kernel_id": "216938"}, {"ref": "manojkumar46258/notebook5f5783c3fa", "kernel_id": "216942"}, {"ref": "lordcheena/work-notebook-titanic", "kernel_id": "226973"}, {"ref": "ottomundo/notebook2115fda7f2", "kernel_id": "216946"}, {"ref": "gpcuster/my-test-notebook", "kernel_id": "217047"}, {"ref": "gpcuster/my-test-script", "kernel_id": "217038"}, {"ref": "arthurfedj/notebook3a6807580f", "kernel_id": "216988"}, {"ref": "arthurfedj/notebookc4d28e7611", "kernel_id": "218316"}, {"ref": "romnor/notebook22b9f5b2c7", "kernel_id": "219586"}, {"ref": "romnor/notebookdfc0ceaf6d", "kernel_id": "219588"}, {"ref": "arahman1/titanic-code", "kernel_id": "257142"}, {"ref": "arahman1/playing-with-titanic-data", "kernel_id": "256305"}, {"ref": "stifod/notebookff0ca02e18", "kernel_id": "222198"}, {"ref": "aebruner/titanic-solution", "kernel_id": "217052"}, {"ref": "mdzeig/basic-logistic-regression", "kernel_id": "217096"}, {"ref": "mdzeig/titanic-case-study", "kernel_id": "217961"}, {"ref": "eric8ah/titanic-tutorial-kernal", "kernel_id": "217063"}, {"ref": "ajayshelar/analysis-of-dataset", "kernel_id": "593613"}, {"ref": "alexandrekoiyama/notebook8c0bfe42d1", "kernel_id": "253468"}, {"ref": "alexandrekoiyama/notebook7e58eb424e", "kernel_id": "217073"}, {"ref": "pvramesh/notebook076871e371", "kernel_id": "219419"}, {"ref": "nazerat/yudemeirain", "kernel_id": "223438"}, {"ref": "lindsar/notebook202a57b61b", "kernel_id": "222283"}, {"ref": "lindsar/notebook51d40ecac0", "kernel_id": "217084"}, {"ref": "lindsar/notebook68e63da4d4", "kernel_id": "217098"}, {"ref": "lindsar/notebooka3ac5c3aca", "kernel_id": "218438"}, {"ref": "lindsar/notebook0e97c9972c", "kernel_id": "218613"}, {"ref": "zhoumingming/notebook1178ad2dc3", "kernel_id": "217089"}, {"ref": "dddpppccc/notebookba5552fe86", "kernel_id": "217141"}, {"ref": "dabaodeng/notebook073d5ad373", "kernel_id": "217202"}, {"ref": "qinyuan210/titanic-case", "kernel_id": "217637"}, {"ref": "qinyuan210/notebook2615a1ea2a", "kernel_id": "217648"}, {"ref": "jaykjcho/notebook0aa8df4717", "kernel_id": "217289"}, {"ref": "jaykjcho/notebook40dfdff33e", "kernel_id": "218245"}, {"ref": "jaykjcho/notebook0380f13020", "kernel_id": "218287"}, {"ref": "jaykjcho/notebook8d045210ec", "kernel_id": "219727"}, {"ref": "drewmellor/titanic-alpha-attempt", "kernel_id": "220644"}, {"ref": "fringilla/notebook7f7f1f72de", "kernel_id": "217228"}, {"ref": "rampage17/titanic-machine-learning-model", "kernel_id": "217278"}, {"ref": "pratiush309/notebookd280ae352c", "kernel_id": "217307"}, {"ref": "xavierekkel/an-interactive-data-science-tutorial", "kernel_id": "217314"}, {"ref": "xavierekkel/exploring-survival-on-the-titanic", "kernel_id": "217358"}, {"ref": "xavierekkel/notebook62a1a1cbcc", "kernel_id": "218196"}, {"ref": "xavierekkel/my-titanic-solution-using-random-forest", "kernel_id": "218197"}, {"ref": "datasci858/notebook2f80426dec", "kernel_id": "217415"}, {"ref": "alex3141/notebookf71b9d6a7c", "kernel_id": "218384"}, {"ref": "alex3141/notebook8ac0d16b4a", "kernel_id": "220350"}, {"ref": "ohacman/notebookc46d461df9", "kernel_id": "217393"}, {"ref": "borntolearn/notebook1a08fe4821", "kernel_id": "217377"}, {"ref": "sometimespredictable/ignore-visualizing-titanic-data", "kernel_id": "217385"}, {"ref": "sometimespredictable/feature-engineering-fun-with-mlpclassifier", "kernel_id": "217704"}, {"ref": "donglong/notebook8ec694a93c", "kernel_id": "219805"}, {"ref": "chryzair/testing-kernels", "kernel_id": "219513"}, {"ref": "chryzair/testing-a-kernel", "kernel_id": "219501"}, {"ref": "justzero/a-journey-through-titanic", "kernel_id": "253123"}, {"ref": "kyobee/exploratory-tutorial-titanic", "kernel_id": "218536"}, {"ref": "philchiago/notebook7bcd78e376", "kernel_id": "220746"}, {"ref": "shashank103/notebook0c69cd5435", "kernel_id": "230301"}, {"ref": "sjemastick/an-interactive-data-science-tutorial", "kernel_id": "239029"}, {"ref": "nicolasbatistoni/notebook31eb7779ec", "kernel_id": "237729"}, {"ref": "rorschach93/notebookef3c7ffcdb", "kernel_id": "224056"}, {"ref": "rorschach93/notebook46e3dd531c", "kernel_id": "224050"}, {"ref": "teapepsi/notebookc46d90481e", "kernel_id": "217544"}, {"ref": "teapepsi/notebook0032e62a92", "kernel_id": "217535"}, {"ref": "muhriddinuzb/an-interactive-data-science-tutorial-2c0a1b", "kernel_id": "260508"}, {"ref": "abac00s/my-competition-submition", "kernel_id": "275949"}, {"ref": "gusain/notebookb3a185c1a2", "kernel_id": "217520"}, {"ref": "sachinjoshi/notebook34ea882938", "kernel_id": "217534"}, {"ref": "vorkbom/notebook2c6abdc9f2", "kernel_id": "217585"}, {"ref": "dstartupkid/notebook813a57ac8f", "kernel_id": "217756"}, {"ref": "prasadawandkar/notebooke569740673", "kernel_id": "217593"}, {"ref": "prasadawandkar/titanic", "kernel_id": "217598"}, {"ref": "madisonestabrook/notebook2445595e64", "kernel_id": "224955"}, {"ref": "madisonestabrook/notebookb8aeb866dd", "kernel_id": "224956"}, {"ref": "madisonestabrook/comparison-of-different-predication-methods", "kernel_id": "224957"}, {"ref": "thomas8305/first-r-script", "kernel_id": "217653"}, {"ref": "swargr/notebook18fbc3df3d", "kernel_id": "217639"}, {"ref": "seanmcclory/tester", "kernel_id": "220008"}, {"ref": "marcelloaliverti/titanic-contest", "kernel_id": "237533"}, {"ref": "dushyantk/notebook81d1d50d76", "kernel_id": "217658"}, {"ref": "msjalodia/survived-passengers", "kernel_id": "217794"}, {"ref": "msjalodia/survived-passnegers", "kernel_id": "217737"}, {"ref": "ratkan/notebook4c82784be9", "kernel_id": "220254"}, {"ref": "ratkan/notebook6c5412f40e", "kernel_id": "220198"}, {"ref": "ratkan/notebook09941a1dc1", "kernel_id": "232886"}, {"ref": "ratkan/notebookc27d994100", "kernel_id": "232887"}, {"ref": "ratkan/notebookfd991ca0c5", "kernel_id": "267962"}, {"ref": "benvsepsilon/notebookb8c46942da", "kernel_id": "217724"}, {"ref": "rsrigiri/complete-beginner-titanic-predictions", "kernel_id": "342082"}, {"ref": "jswiezy/titanic-with-pandas-and-lasagne", "kernel_id": "237545"}, {"ref": "parithy/titanic-survival-prediction", "kernel_id": "298477"}, {"ref": "researchace/notebookc7f0a79954", "kernel_id": "217990"}, {"ref": "visardida/notebookb8370f444a", "kernel_id": "217771"}, {"ref": "sonia34/titanic-data-science-solutions-c17ede", "kernel_id": "217818"}, {"ref": "julianeduval/titanic-data-science-tutorial", "kernel_id": "269376"}, {"ref": "cconway17/notebook4b15faf0f0", "kernel_id": "217817"}, {"ref": "diegomenbo/prueba1", "kernel_id": "218531"}, {"ref": "diegomenbo/notebookf080b7e299", "kernel_id": "218540"}, {"ref": "msdandan/notebooke4ff7b0f55", "kernel_id": "217915"}, {"ref": "msdandan/notebookcfecf93485", "kernel_id": "218033"}, {"ref": "juliatu/notebook52edabfc27", "kernel_id": "217941"}, {"ref": "jarretinha/playing-with-kaggle", "kernel_id": "253858"}, {"ref": "gmilte/kikjhjkh", "kernel_id": "217977"}, {"ref": "gmilte/notebook7ece0ef76f", "kernel_id": "222360"}, {"ref": "gmilte/test-1", "kernel_id": "222361"}, {"ref": "danielbastos/notebook7fc690baf0", "kernel_id": "223265"}, {"ref": "williamccrobinson/titanic-data-science-solutions", "kernel_id": "221780"}, {"ref": "liu298871369/first-try", "kernel_id": "218032"}, {"ref": "jxabuct/notebooke1f95c7615", "kernel_id": "218087"}, {"ref": "pradeepchandy/notebook8646761980", "kernel_id": "218026"}, {"ref": "bing22/debugging", "kernel_id": "223358"}, {"ref": "afiz23/getting-started-with-python", "kernel_id": "218100"}, {"ref": "crs3ven/titanic-survival-prediction", "kernel_id": "218228"}, {"ref": "solrex/titanica", "kernel_id": "218874"}, {"ref": "solrex/titanic", "kernel_id": "218868"}, {"ref": "solrex/titanic-fresh-man", "kernel_id": "218863"}, {"ref": "solrex/notebook8e46bcedef", "kernel_id": "218859"}, {"ref": "tomotomo514/notebook605acc4c50", "kernel_id": "233529"}, {"ref": "gauravj/notebookc2291c80ef", "kernel_id": "228555"}, {"ref": "gauravj/learn", "kernel_id": "228559"}, {"ref": "gauravj/notebook39a951b878", "kernel_id": "230123"}, {"ref": "gauravj/notebook4fa67fb75a", "kernel_id": "230127"}, {"ref": "gauravj/notebook0163718c97", "kernel_id": "227120"}, {"ref": "jaykimnz/titanic", "kernel_id": "218188"}, {"ref": "crystal1017chen/notebookf7a295e7dd", "kernel_id": "218195"}, {"ref": "stevenmattu/notebookbc5d267e19", "kernel_id": "226537"}, {"ref": "aroksak/titanic-attempt-by-sakar", "kernel_id": "256984"}, {"ref": "maitree/titanic-survival-list-using-random-forest", "kernel_id": "256281"}, {"ref": "maitree/notebook80a444bd9a", "kernel_id": "242177"}, {"ref": "maitree/titanic-survival-list-using-classification", "kernel_id": "242180"}, {"ref": "khoadp/titanic-data-science-solutions", "kernel_id": "231320"}, {"ref": "davemiles94/notebookff2628cb0e", "kernel_id": "218225"}, {"ref": "duanlianda/titanic-prediction-basictestunfinished", "kernel_id": "339695"}, {"ref": "srikarnamburu/exploring-survival-on-the-titanic", "kernel_id": "256986"}, {"ref": "nibedita84/my-first-kernel-titanic-survival-rate", "kernel_id": "289191"}, {"ref": "loicdoin/notebookfc72102ad4", "kernel_id": "256398"}, {"ref": "ecosse/notebook1db74e8321", "kernel_id": "224195"}, {"ref": "ecosse/001-titanic", "kernel_id": "224228"}, {"ref": "ecosse/notebook37f7af6c24", "kernel_id": "224223"}, {"ref": "ecosse/notebook4d818a1cb9", "kernel_id": "224204"}, {"ref": "ecosse/notebook14d32a6026", "kernel_id": "240145"}, {"ref": "tuckstucks/exploring-survival-on-the-titanic", "kernel_id": "243358"}, {"ref": "solidmaso/titanic-logistic-regression", "kernel_id": "218309"}, {"ref": "gsingh70/testing", "kernel_id": "218315"}, {"ref": "mitulsurti/notebook717ded8523", "kernel_id": "218317"}, {"ref": "daniellz/notebook760af682c4", "kernel_id": "226760"}, {"ref": "karthik28/notebookf52281005d", "kernel_id": "221114"}, {"ref": "karthik28/notebookc902d7672b", "kernel_id": "222780"}, {"ref": "karthik28/an-interactive-data-science-tutorial", "kernel_id": "222229"}, {"ref": "caximosi/titaniclearningqi", "kernel_id": "245052"}, {"ref": "caximosi/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "249865"}, {"ref": "andohuman/notebook40cf85bb4d", "kernel_id": "230797"}, {"ref": "kcruise/notebook45e9b1dfb2", "kernel_id": "219181"}, {"ref": "kcruise/notebook6b6a939762", "kernel_id": "219178"}, {"ref": "andreslm/surviving-age-fare-and-family-members", "kernel_id": "251986"}, {"ref": "richking/ml-learning-project", "kernel_id": "794266"}, {"ref": "guillaumedemalezieux/titanic-data-science-solutions", "kernel_id": "242267"}, {"ref": "guillaumedemalezieux/notebook0818775dcb", "kernel_id": "242257"}, {"ref": "vasanthampavan/notebook03251517e0", "kernel_id": "221776"}, {"ref": "artemi5ia/titanic-draft1", "kernel_id": "223913"}, {"ref": "artemi5ia/notebook139496db76", "kernel_id": "223957"}, {"ref": "royalballoonbruce/notebookc6b7614fa7", "kernel_id": "218504"}, {"ref": "claire78/titanic-data-science-solutions", "kernel_id": "253262"}, {"ref": "jitendrab/notebooke6be566ffb", "kernel_id": "218532"}, {"ref": "gummbi/notebooka521c764bb", "kernel_id": "244568"}, {"ref": "majowkam/tutorial", "kernel_id": "222055"}, {"ref": "sachin13/notebook46eb18c532", "kernel_id": "219654"}, {"ref": "sachin13/titanic", "kernel_id": "219655"}, {"ref": "michaelcoleman/titanic-data-science-solutions-5b7a0d", "kernel_id": "219516"}, {"ref": "afiseppe/notebook8509e3bb15", "kernel_id": "221357"}, {"ref": "colanc/notebookfa356fd541", "kernel_id": "218724"}, {"ref": "jeandagenais/titanic-data-science-solutions-07bfe0", "kernel_id": "219053"}, {"ref": "jeandagenais/an-interactive-data-science-tutorial-1089e8", "kernel_id": "219054"}, {"ref": "jeandagenais/introduction-to-ensembling-stacking-in-python", "kernel_id": "219059"}, {"ref": "jeandagenais/scikit-learn-ml-from-start-to-finish-97ee2f", "kernel_id": "219057"}, {"ref": "gregnetols/titanic-competition", "kernel_id": "265310"}, {"ref": "oagostinho/titanic-data-science-solutions-opa", "kernel_id": "222403"}, {"ref": "oagostinho/titanic-data-science-solutions-2746cf", "kernel_id": "235898"}, {"ref": "oagostinho/notebook7a6d8a4cb7", "kernel_id": "235899"}, {"ref": "amprinceir/titanic-v1", "kernel_id": "225702"}, {"ref": "srikant22/notebook7b30d2dfef", "kernel_id": "226356"}, {"ref": "srikant22/rookie-test", "kernel_id": "226358"}, {"ref": "nookki/python-for-data-analysis", "kernel_id": "436029"}, {"ref": "liuyangcv/notebook7e645fd8f4", "kernel_id": "219070"}, {"ref": "mikezhaocs/notebookdc1108e8eb", "kernel_id": "218830"}, {"ref": "mikezhaocs/notebook571b53d9c3", "kernel_id": "229306"}, {"ref": "machi2074/titanic-part-1-a-data-feature-models", "kernel_id": "223163"}, {"ref": "machi2074/titanic-part-2-neural-network", "kernel_id": "240939"}, {"ref": "machi2074/titanic-part-3-model-stacking", "kernel_id": "256652"}, {"ref": "machi2074/titanic-part-1-b-data-feature-models", "kernel_id": "257098"}, {"ref": "fengwei96/notebookc0e55edb01", "kernel_id": "218835"}, {"ref": "windfringe/kaggle-hello-world", "kernel_id": "218926"}, {"ref": "arunjose89/notebook1bc624304e", "kernel_id": "222302"}, {"ref": "openjny/notebook6ca9cd168b", "kernel_id": "218898"}, {"ref": "michaelluo/pytanic", "kernel_id": "274655"}, {"ref": "pugazh/notebook38d61659a5", "kernel_id": "218904"}, {"ref": "pugazh/titani", "kernel_id": "218906"}, {"ref": "cosas1008/notebook58390e06b9", "kernel_id": "218903"}, {"ref": "yyydido/notebook9da545f5a5", "kernel_id": "221914"}, {"ref": "zongtongyi/notebook93537e7074", "kernel_id": "226477"}, {"ref": "gaurav76/notebook3471f50a33", "kernel_id": "218969"}, {"ref": "qingyu33/notebook55ac11cf80", "kernel_id": "227116"}, {"ref": "maheshreddy/notebook5468bcd76a", "kernel_id": "218943"}, {"ref": "jink00/notebook1b0b770d0b", "kernel_id": "230439"}, {"ref": "cullengao/notebook0d82e3d160", "kernel_id": "219558"}, {"ref": "myvanity/test-titanic", "kernel_id": "219683"}, {"ref": "kord123/titanic", "kernel_id": "219087"}, {"ref": "sunnikp/notebookd0938a2b31", "kernel_id": "219774"}, {"ref": "nagendeak/nagender", "kernel_id": "219058"}, {"ref": "lucianamontenegro/notebook27b3cd4305", "kernel_id": "221101"}, {"ref": "mahidharbandaru/attempt1", "kernel_id": "315911"}, {"ref": "shtkddud/sangtitanicdecision", "kernel_id": "224838"}, {"ref": "dvl1619/notebookeb129386dc", "kernel_id": "226500"}, {"ref": "dvl1619/titanic-survival-exploration", "kernel_id": "238697"}, {"ref": "eaglem/notebook2e2e1ecc21", "kernel_id": "230527"}, {"ref": "divyamsingh13/using-randomforest", "kernel_id": "346414"}, {"ref": "shregmi/notebook4ba178d8fa", "kernel_id": "222284"}, {"ref": "sgebone/notebookf530da4fbc", "kernel_id": "219160"}, {"ref": "mdedecker/notebook978e2ecdc0", "kernel_id": "221716"}, {"ref": "jeandagenaisyahoo/an-interactive-data-science-tutorial", "kernel_id": "219190"}, {"ref": "jeandagenaisyahoo/scikit-learn-ml-from-start-to-finish", "kernel_id": "219192"}, {"ref": "karthikvinod/notebookab9eb30747", "kernel_id": "225531"}, {"ref": "vikura/notebook0a3ee3dfaa", "kernel_id": "219264"}, {"ref": "thiviyan/scripting-a-model-from-knime-workflow-to-python", "kernel_id": "224089"}, {"ref": "r0ll3r/an-interactive-data-science-tutorial", "kernel_id": "362604"}, {"ref": "davidhenrylim/notebook5289e934d4", "kernel_id": "219363"}, {"ref": "smnndrs/notebookb66ed30382", "kernel_id": "219362"}, {"ref": "nopect/notebook9a3ed0de36", "kernel_id": "219907"}, {"ref": "cooshal/scikit-learn-ml-from-start-to-finish", "kernel_id": "219366"}, {"ref": "furkilic/notebook0d74569e83", "kernel_id": "259926"}, {"ref": "andork/titanic-data-science-solutions", "kernel_id": "219393"}, {"ref": "georgm/titanic", "kernel_id": "219430"}, {"ref": "georgm/titanic-data-science-solutions", "kernel_id": "219442"}, {"ref": "johnyan1019/run-py", "kernel_id": "219444"}, {"ref": "okarthikeyan/notebook872778b842", "kernel_id": "219445"}, {"ref": "nprice/trying-out-keras-0-77990-accuracy", "kernel_id": "232493"}, {"ref": "screwdislocation/notebook60a6770290", "kernel_id": "219472"}, {"ref": "thomas31/notebookf59c94e792", "kernel_id": "219500"}, {"ref": "backhake/notebookf85894b0a8", "kernel_id": "219505"}, {"ref": "youyouza/notebookace4c03fef", "kernel_id": "219510"}, {"ref": "youyouza/my-titanic", "kernel_id": "225137"}, {"ref": "youyouza/notebookf86ee88263", "kernel_id": "225177"}, {"ref": "tshanker83/notebooke8ebc35651", "kernel_id": "219882"}, {"ref": "danxiyang/notebookaf3eedec3b", "kernel_id": "219533"}, {"ref": "danxiyang/notebookf5058c9ffb", "kernel_id": "219554"}, {"ref": "davidcoxon/titanic-practice-by-davidcoxon", "kernel_id": "943976"}, {"ref": "davidcoxon/deeply-titanic", "kernel_id": "998653"}, {"ref": "s944051691/watering", "kernel_id": "219604"}, {"ref": "rohan24/notebook6de7ac3565", "kernel_id": "219597"}, {"ref": "rohan24/notebook8d3f3a3d13", "kernel_id": "219600"}, {"ref": "rohan24/notebookb0b282cee5", "kernel_id": "219859"}, {"ref": "rohan24/notebook79df91c371", "kernel_id": "219855"}, {"ref": "rohan24/notebookaf9cba6fbf", "kernel_id": "228227"}, {"ref": "scottwhite/notebooka4e4f921aa", "kernel_id": "219613"}, {"ref": "takuokawa/titanic-data-science-solutions", "kernel_id": "252931"}, {"ref": "takuokawa/titanic-survival-prediction", "kernel_id": "252948"}, {"ref": "trogers9/notebook5b2b05a2e7", "kernel_id": "219710"}, {"ref": "loryculaire/notebookb9dec97994", "kernel_id": "262470"}, {"ref": "loryculaire/titanic-learn", "kernel_id": "262472"}, {"ref": "litiblue/a-journey-through-titanic-bf980d", "kernel_id": "225219"}, {"ref": "adicohen/an-interactive-data-science-tutorial", "kernel_id": "236835"}, {"ref": "adicohen/notebook46d4f42d85", "kernel_id": "232582"}, {"ref": "adicohen/titanic-comp-draft", "kernel_id": "234465"}, {"ref": "adicohen/notebookf2b0519285", "kernel_id": "234124"}, {"ref": "jaisalmer/notebooka4a280e568", "kernel_id": "219779"}, {"ref": "aneudysamparo/titanic-by-aneudys", "kernel_id": "219828"}, {"ref": "alannungaray/titanic-alanun-solutions", "kernel_id": "255813"}, {"ref": "larshueber/notebook2e94be6bcf", "kernel_id": "219842"}, {"ref": "commit/notebook9493fdd47a", "kernel_id": "228033"}, {"ref": "shitou1992/xgboost-for-disaster-prediction", "kernel_id": "227856"}, {"ref": "yguo42/titanic-data-science-solutions", "kernel_id": "219884"}, {"ref": "yguo42/notebook61384b3d29", "kernel_id": "219881"}, {"ref": "cleared/notebookf1ea1ada00", "kernel_id": "219896"}, {"ref": "cleared/titanic-data-science-solutions", "kernel_id": "220046"}, {"ref": "maxweber/notebook31f151c185", "kernel_id": "219892"}, {"ref": "saeednusri/myfirstkernel", "kernel_id": "269356"}, {"ref": "hnadim/notebook6b96ae242a", "kernel_id": "219970"}, {"ref": "robbicus/notebook6a39f3e462", "kernel_id": "220022"}, {"ref": "derekwood3/my-first-notebook", "kernel_id": "219964"}, {"ref": "derekwood3/titanic-data-science-solutions", "kernel_id": "219967"}, {"ref": "alexandermuraviev/titanic-ml", "kernel_id": "237592"}, {"ref": "mirkomiorelli/notebook81e2621ec5", "kernel_id": "267620"}, {"ref": "fabienbar/notebooka13afad09a", "kernel_id": "220055"}, {"ref": "molili/titanic-data-science-solutions", "kernel_id": "254784"}, {"ref": "molili/titanic-data-science-solutions-f45c16", "kernel_id": "260129"}, {"ref": "korvno/notebook1028701fb2", "kernel_id": "220076"}, {"ref": "tonsegpai/titanic", "kernel_id": "220159"}, {"ref": "rutayanp/notebook5300728366", "kernel_id": "220804"}, {"ref": "hitzhs/notebookf47c7d08d0", "kernel_id": "220092"}, {"ref": "hitzhs/notebookc7d006b181", "kernel_id": "223554"}, {"ref": "hitzhs/20170330", "kernel_id": "223804"}, {"ref": "hitzhs/notebook5b17f5283a", "kernel_id": "223825"}, {"ref": "hitzhs/my-first-kagle-competiions1", "kernel_id": "223962"}, {"ref": "hitzhs/notebooke711e0bf7f", "kernel_id": "223945"}, {"ref": "hitzhs/my-first-kagle-competiions", "kernel_id": "223946"}, {"ref": "broholens/notebook0923b72d14", "kernel_id": "220872"}, {"ref": "lhitomi/notebookcefbbdc872", "kernel_id": "220896"}, {"ref": "abalvar1/first", "kernel_id": "220142"}, {"ref": "josephpaul/notebook6a1aa55923", "kernel_id": "220194"}, {"ref": "toddwight/titanic-data-set-todd-wight", "kernel_id": "230582"}, {"ref": "chabuk/notebook6f6267ee50", "kernel_id": "225132"}, {"ref": "alexvit24/an-interactive-data-science-tutorial", "kernel_id": "220352"}, {"ref": "gleotescu/notebook7069c66ba9", "kernel_id": "222816"}, {"ref": "jawadrasool/notebook5421b20eb7", "kernel_id": "236664"}, {"ref": "jawadrasool/notebook345d76d343", "kernel_id": "236322"}, {"ref": "jawadrasool/predicting-the-survival-on-titanic-disaster", "kernel_id": "237281"}, {"ref": "haesoly/notebook8463875f67", "kernel_id": "221137"}, {"ref": "haesoly/notebook70d2436345", "kernel_id": "221130"}, {"ref": "haesoly/aaaaa", "kernel_id": "221134"}, {"ref": "yashduvvuru/first-kaggle", "kernel_id": "272595"}, {"ref": "yashduvvuru/kaggle-titanic", "kernel_id": "274028"}, {"ref": "yashduvvuru/pytanic", "kernel_id": "279007"}, {"ref": "yashduvvuru/first-titanic-1", "kernel_id": "246773"}, {"ref": "h123453047/start-useing-tflearn-acc-up-to-90-85", "kernel_id": "311955"}, {"ref": "h123453047/browse-data-and-find-important-parameters-eda", "kernel_id": "813843"}, {"ref": "clhayslett/first-one", "kernel_id": "220483"}, {"ref": "sandow/an-interactive-data-science-tutorial", "kernel_id": "220489"}, {"ref": "rohitgaur/titanic-survivors-classification", "kernel_id": "325531"}, {"ref": "nandoaires/exploratory-analysis", "kernel_id": "220536"}, {"ref": "rluo18/notebook334ac82560", "kernel_id": "220586"}, {"ref": "mohammed404/notebook3bf10b051d", "kernel_id": "220603"}, {"ref": "ltanzi/titlu", "kernel_id": "230929"}, {"ref": "mfschubert/notebook492787ac96", "kernel_id": "220616"}, {"ref": "akumar93/notebook3ea7d67b89", "kernel_id": "224139"}, {"ref": "mochizuki33209/https-www-kaggle-com", "kernel_id": "222081"}, {"ref": "mochizuki33209/notebook8e3823ef68", "kernel_id": "222087"}, {"ref": "mochizuki33209/notebookc185edb857", "kernel_id": "220628"}, {"ref": "michaelzullo/an-interactive-data-science-tutorial-647c3b", "kernel_id": "223209"}, {"ref": "watermelons/notebook3b3dec41cb", "kernel_id": "220633"}, {"ref": "watermelons/notebook99e4502dbd", "kernel_id": "220637"}, {"ref": "watermelons/primeiro-teste", "kernel_id": "220624"}, {"ref": "rajivboddeda/a-guide-to-titanic-challenge", "kernel_id": "229519"}, {"ref": "kkloud/notebook5ac4c9f37b", "kernel_id": "220638"}, {"ref": "vaghato/notebook9c3b982a88", "kernel_id": "220664"}, {"ref": "doowjin/notebook3ea8fef7da", "kernel_id": "220672"}, {"ref": "serbero/notebookd757de59fb", "kernel_id": "220678"}, {"ref": "irisiris/notebook2c68925dc8", "kernel_id": "220719"}, {"ref": "irisiris/titanic", "kernel_id": "220720"}, {"ref": "ytzhao/my-first-travel-on-kaggle", "kernel_id": "220892"}, {"ref": "unsweric/notebookd81a0a2a99", "kernel_id": "231160"}, {"ref": "mahmoudhamdy/an-interactive-data-science-tutorial", "kernel_id": "241626"}, {"ref": "aaajindouzi/notebook83c2a05c88", "kernel_id": "221785"}, {"ref": "aaajindouzi/notebook2c03c94bb2", "kernel_id": "221787"}, {"ref": "aaajindouzi/notebook2d6e4f0657", "kernel_id": "221770"}, {"ref": "aaajindouzi/notebook5748675134", "kernel_id": "221744"}, {"ref": "herodavidgu/kaggle-titanic", "kernel_id": "224343"}, {"ref": "leevanoetz/notebookaeb0351dcc", "kernel_id": "257028"}, {"ref": "bsheng/adasda", "kernel_id": "224391"}, {"ref": "himanibhatt/notebooke36c0a7083", "kernel_id": "220861"}, {"ref": "beastlyprime/titanic-data-science-solutions", "kernel_id": "305186"}, {"ref": "beastlyprime/beginning-notes-for-titanic", "kernel_id": "305201"}, {"ref": "kagglelxw/notebook7788ac9817", "kernel_id": "221466"}, {"ref": "zhangyizhen/scikit-learn-ml-from-start-to-finish", "kernel_id": "220941"}, {"ref": "luxcem/titanic-introduction-to-data-science-with-python", "kernel_id": "559677"}, {"ref": "riverxie/test-for", "kernel_id": "220939"}, {"ref": "legatihib/notebook836c1033fe", "kernel_id": "220958"}, {"ref": "yyfan1/train", "kernel_id": "221031"}, {"ref": "yyfan1/notebookb330f19d9e", "kernel_id": "221023"}, {"ref": "ivanyooh/notebook236fbfcb01", "kernel_id": "221006"}, {"ref": "semiwhale/titanic-data-science-solutions", "kernel_id": "221000"}, {"ref": "semiwhale/notebooke4c66faec4", "kernel_id": "220997"}, {"ref": "semiwhale/notebook24e368dd0f", "kernel_id": "220998"}, {"ref": "remcorakers/notebook2724e4ed77", "kernel_id": "221033"}, {"ref": "mp89404/exploring-titanic-survivors", "kernel_id": "304433"}, {"ref": "kmsravindra/an-interactive-data-science-tutorial", "kernel_id": "280293"}, {"ref": "kmsravindra/titanic-solution-in-r", "kernel_id": "280455"}, {"ref": "avinash29/titanic-testing", "kernel_id": "255117"}, {"ref": "sahil0508/notebook01b9bdc77c", "kernel_id": "249685"}, {"ref": "sahil0508/take-1", "kernel_id": "221828"}, {"ref": "mikelamutxas/notebook759bbe492f", "kernel_id": "221103"}, {"ref": "tobiwink/notebookdd8bf198f1", "kernel_id": "226602"}, {"ref": "mikerale/titanic-the-sinking-of-unsinkable", "kernel_id": "235098"}, {"ref": "mikerale/notebook77713a52b3", "kernel_id": "235085"}, {"ref": "mikerale/notebook23c94cbb60", "kernel_id": "235069"}, {"ref": "mistersan/titanic-data-science-solutions", "kernel_id": "222787"}, {"ref": "ablange/titaic-lange", "kernel_id": "221309"}, {"ref": "itsamar/test-run", "kernel_id": "221267"}, {"ref": "nigelc/notebookad2881da91", "kernel_id": "224346"}, {"ref": "alexinwonderland/notebook46f1d0ec1f", "kernel_id": "251488"}, {"ref": "alexinwonderland/notebook24d7dbc409", "kernel_id": "245987"}, {"ref": "alexinwonderland/test1", "kernel_id": "390380"}, {"ref": "praveenhosdrug123/mycode", "kernel_id": "278127"}, {"ref": "praveenhosdrug123/my-code", "kernel_id": "278135"}, {"ref": "praveenhosdrug123/notebook7e0d1f62d1", "kernel_id": "286213"}, {"ref": "romenon/notebook5774768919", "kernel_id": "221260"}, {"ref": "buckminstery/notebook07603c43a4", "kernel_id": "222470"}, {"ref": "bjarkoff/sssss", "kernel_id": "221262"}, {"ref": "srirachalee/titanic-data-science-solutions-2dff32", "kernel_id": "221293"}, {"ref": "srirachalee/notebook38d2bb2a30", "kernel_id": "221284"}, {"ref": "itps2k3/an-interactive-data-science-tutorial", "kernel_id": "221335"}, {"ref": "ssaleh21/notebookfebbede445", "kernel_id": "223355"}, {"ref": "ssaleh21/notebook8a5f5c4e6d", "kernel_id": "223335"}, {"ref": "ssaleh21/titanic", "kernel_id": "223336"}, {"ref": "ssaleh21/notebook5c570359c1", "kernel_id": "251165"}, {"ref": "dhritimandas7/exploring-survival-on-the-titanic", "kernel_id": "263720"}, {"ref": "mshadbolt/titanic-data-science-solutions", "kernel_id": "221356"}, {"ref": "claudiucreanga/titanic", "kernel_id": "263164"}, {"ref": "jonmak/identify-travel-groups-in-titanic", "kernel_id": "251173"}, {"ref": "markginsburg/notebookf382b7b815", "kernel_id": "221394"}, {"ref": "albertogonzalez/titanic-ensemble-model", "kernel_id": "499473"}, {"ref": "greendata/script-sample-titanic", "kernel_id": "263252"}, {"ref": "greendata/titanic-sample-notebook", "kernel_id": "263253"}, {"ref": "aleereza/notebook06bb4d25d6", "kernel_id": "266111"}, {"ref": "ryankim0409/notebook00a03edc5f", "kernel_id": "221513"}, {"ref": "yuhongju/notebookb17c590e76", "kernel_id": "238528"}, {"ref": "ctycheer/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "248195"}, {"ref": "ctycheer/notebook7acb36408e", "kernel_id": "241158"}, {"ref": "xingyunbo/titanic-data-science-solutions-ec99ca", "kernel_id": "223379"}, {"ref": "xingyunbo/an-interactive-data-science-tutorial", "kernel_id": "222442"}, {"ref": "dodoboatz/bs-titanic", "kernel_id": "221602"}, {"ref": "mnakat/notebook678229562e", "kernel_id": "221629"}, {"ref": "duanyuyou/notebook7524003358", "kernel_id": "221640"}, {"ref": "chancpconnie/notebookdf0c409056", "kernel_id": "221669"}, {"ref": "silverhowe/shtitanic", "kernel_id": "227406"}, {"ref": "shobycp/notebookfc64159107", "kernel_id": "221682"}, {"ref": "trivus/notebooke24252401f", "kernel_id": "221878"}, {"ref": "nandiniviswanathan/notebook0c0ea5581a", "kernel_id": "221687"}, {"ref": "nandiniviswanathan/titanic-data-science-solutions", "kernel_id": "221695"}, {"ref": "atlee731/titanic-predictions", "kernel_id": "237118"}, {"ref": "myst1c/notebookfaa210c04b", "kernel_id": "221807"}, {"ref": "hauru007/111111", "kernel_id": "221760"}, {"ref": "hauru007/11111ke", "kernel_id": "221768"}, {"ref": "hauru007/titaniclearningqi", "kernel_id": "316542"}, {"ref": "hauru007/introduction-to-ensembling-stacking-in-python", "kernel_id": "316520"}, {"ref": "zysonsue/notebook3d8e3558c5", "kernel_id": "231905"}, {"ref": "zysonsue/notebooke3ba76f78d", "kernel_id": "231910"}, {"ref": "zysonsue/titanic-learning", "kernel_id": "231917"}, {"ref": "barlettacarmen/notebookbf6a3c7bd6", "kernel_id": "221796"}, {"ref": "barlettacarmen/notebook27a10543af", "kernel_id": "222228"}, {"ref": "zeroro88/notebookc329045878", "kernel_id": "221820"}, {"ref": "zhangch1994/notebook49605412e8", "kernel_id": "221824"}, {"ref": "davidfpcruz/testing-script-run", "kernel_id": "222002"}, {"ref": "davidfpcruz/notebook77585c4ee4", "kernel_id": "221999"}, {"ref": "junnix/notebook707a8a20cb", "kernel_id": "234938"}, {"ref": "junnix/an-interactive-data-science-tutorial", "kernel_id": "242868"}, {"ref": "alainliu/notebookbe2be15121", "kernel_id": "229491"}, {"ref": "carlosmg/notebooke4b6549ec3", "kernel_id": "226590"}, {"ref": "jaihinduj/script", "kernel_id": "230941"}, {"ref": "jesusromero/testing", "kernel_id": "221897"}, {"ref": "polosoares/titanic", "kernel_id": "222897"}, {"ref": "polosoares/notebook94c1c1fe85", "kernel_id": "222773"}, {"ref": "soulshifter/notebook120b4677f9", "kernel_id": "517727"}, {"ref": "tigerpanda/titanic1", "kernel_id": "221979"}, {"ref": "tomoschuk/titanic-tutorial", "kernel_id": "221976"}, {"ref": "arjunkr94/notebookb3647dc5d4", "kernel_id": "222390"}, {"ref": "sergsmt/notebook3624f04921", "kernel_id": "222040"}, {"ref": "kuo77122/a-journey-through-titanic", "kernel_id": "222516"}, {"ref": "kuo77122/notebook578c2252db", "kernel_id": "229421"}, {"ref": "corgimli/initial-titanic-attempt", "kernel_id": "257283"}, {"ref": "samueldsr/first-try-kaggle-with-python", "kernel_id": "222094"}, {"ref": "tachuelaz/notebookbca5dd8c86", "kernel_id": "222098"}, {"ref": "tachuelaz/test1", "kernel_id": "222188"}, {"ref": "tachuelaz/notebookb34108f5c5", "kernel_id": "222262"}, {"ref": "tachuelaz/notebookb0100d6746", "kernel_id": "222263"}, {"ref": "tachuelaz/notebookf460a0809a", "kernel_id": "247237"}, {"ref": "t4t5pr/notebookf072876e27", "kernel_id": "222140"}, {"ref": "namedhari/notebookf6b33220a6", "kernel_id": "222146"}, {"ref": "namedhari/firsttime", "kernel_id": "222156"}, {"ref": "guilhermegandolfi/notebook040e10311b", "kernel_id": "222175"}, {"ref": "tjsauer/titanic-survival-python-solution", "kernel_id": "230004"}, {"ref": "jorghyq/titanic-test2", "kernel_id": "264385"}, {"ref": "coxinha/notebooked66814657", "kernel_id": "222180"}, {"ref": "sarthajrebin/just-a-start", "kernel_id": "269468"}, {"ref": "gobes1980/titanic-basic-classification-wip", "kernel_id": "919206"}, {"ref": "sajithdata/first-submission-titanic-copy-from-someone-else", "kernel_id": "239255"}, {"ref": "iamanalien/exploring-survival-on-the-titanic", "kernel_id": "228335"}, {"ref": "pdibbs/titanic-panic", "kernel_id": "223333"}, {"ref": "elliottjardin/who-will-survive-a-logistic-regression-example", "kernel_id": "309889"}, {"ref": "mattbukobza/my-trial", "kernel_id": "266826"}, {"ref": "mattbukobza/my-trial2", "kernel_id": "267553"}, {"ref": "solgarlic/notebookf931bec635", "kernel_id": "222305"}, {"ref": "andyxie/titanic-xgboost", "kernel_id": "408135"}, {"ref": "andyxie/titanic-data-cleaning-and-feature-engineering", "kernel_id": "406770"}, {"ref": "andyxie/explore-titanic-survival-data", "kernel_id": "397630"}, {"ref": "dasbeste/exploring-survival-on-the-titanic", "kernel_id": "226509"}, {"ref": "culdud/firsttry", "kernel_id": "240221"}, {"ref": "everardogentil/titanic", "kernel_id": "224021"}, {"ref": "rohan23/notebook63f9786791", "kernel_id": "230544"}, {"ref": "rohan23/titanicnew", "kernel_id": "230551"}, {"ref": "emotionalcoder/abcdef", "kernel_id": "253394"}, {"ref": "andyjo/notebook4d675e0c81", "kernel_id": "227450"}, {"ref": "maxchen6695/notebook5818915c7d", "kernel_id": "222379"}, {"ref": "adhara/test1", "kernel_id": "224081"}, {"ref": "adhara/tyopmd", "kernel_id": "224345"}, {"ref": "adhara/first-algo", "kernel_id": "224002"}, {"ref": "adhara/notebook65298a0c90", "kernel_id": "223997"}, {"ref": "adhara/chak-de", "kernel_id": "225008"}, {"ref": "blabdool/notebook93c4930328", "kernel_id": "227685"}, {"ref": "kitushan/titanic-data-science-solutions-dc3035", "kernel_id": "481473"}, {"ref": "dsternunimelb/my-titanic", "kernel_id": "225517"}, {"ref": "xepherra/fh-titanic-survival-rate-modelling", "kernel_id": "256578"}, {"ref": "amansach20/notebook85d16aee98", "kernel_id": "222483"}, {"ref": "brucego/test-titanic-data-notebook", "kernel_id": "228065"}, {"ref": "swathijayavel/notebookf8cb70b5a0", "kernel_id": "231169"}, {"ref": "samyan9/titanic-randomforrest-v1-2", "kernel_id": "274910"}, {"ref": "ronoshima/notebook8e4adf5b51", "kernel_id": "222503"}, {"ref": "ronoshima/notebookb05e49e1a7", "kernel_id": "222506"}, {"ref": "calvinlegassick/playing-with-titanic", "kernel_id": "222532"}, {"ref": "dzchan/notebook66f05e8c0d", "kernel_id": "222538"}, {"ref": "kirkchen/notebook908d2eee0b", "kernel_id": "237031"}, {"ref": "boipl02/notebookea83f7ddbb", "kernel_id": "235815"}, {"ref": "huiget/notebook59432ff5fc", "kernel_id": "223421"}, {"ref": "mdalam/notebook5ffe3c5fe7", "kernel_id": "222672"}, {"ref": "mdalam/titanic-survival", "kernel_id": "222673"}, {"ref": "pchandra7/notebookbcb875d884", "kernel_id": "222657"}, {"ref": "barograf/notebook9ca4bc9ab2", "kernel_id": "222704"}, {"ref": "barograf/test123", "kernel_id": "223713"}, {"ref": "victoriosub/notebook1c4496f8aa", "kernel_id": "222747"}, {"ref": "victoriosub/notebook8e6d7f3b66", "kernel_id": "222715"}, {"ref": "moshuang/notebook408c7abb6e", "kernel_id": "244603"}, {"ref": "learn2pro/introduction-to-ensembling-stacking-in-python", "kernel_id": "222847"}, {"ref": "pianoraju95/exploring-survival-on-the-titanic", "kernel_id": "222797"}, {"ref": "poornika/notebook7ce31298e4", "kernel_id": "222808"}, {"ref": "delasupreme/titanic-data-analysis-rf-prediction-0-81818", "kernel_id": "327311"}, {"ref": "josesantos/notebookf63d61f680", "kernel_id": "257829"}, {"ref": "calzzetta/demo-using-tensorflow", "kernel_id": "235515"}, {"ref": "j1mb00/hello-kernel", "kernel_id": "223175"}, {"ref": "sarkasticsamurai/notebook6e7699ba55", "kernel_id": "223604"}, {"ref": "balayeswanth/notebookdbf2ef7381", "kernel_id": "222871"}, {"ref": "xmechira/notebook09383a2f42", "kernel_id": "227407"}, {"ref": "randomseed23/notebooka6a8113b4b", "kernel_id": "235106"}, {"ref": "jlacika/notebook7dd57c6458", "kernel_id": "226737"}, {"ref": "sleahy/titanic", "kernel_id": "223187"}, {"ref": "sleahy/notebookf43e4d6f56", "kernel_id": "223185"}, {"ref": "sleahy/titanic-data-science-solutions", "kernel_id": "223090"}, {"ref": "apdullahyayik/notebooka321e46bda", "kernel_id": "223136"}, {"ref": "jingzizhang/titanic-machine-learning-from-disaster", "kernel_id": "226905"}, {"ref": "qinggracezhu/qing-s-first-notebook", "kernel_id": "224123"}, {"ref": "kosmos2017/titanic-data-science-solutions", "kernel_id": "223879"}, {"ref": "hliu88/notebook6e87f06d33", "kernel_id": "229051"}, {"ref": "aptx4400/titanic-data-science-solutions", "kernel_id": "257210"}, {"ref": "aptx4400/fork-of-titanic-data-science-solutions", "kernel_id": "262346"}, {"ref": "bookwormengr/tensorflow", "kernel_id": "278288"}, {"ref": "bookwormengr/notebookaedbf037de", "kernel_id": "223656"}, {"ref": "seanely/notebook4f4796c616", "kernel_id": "253479"}, {"ref": "rodrigogdemarco/notebookcf5bf7f458", "kernel_id": "223278"}, {"ref": "ciws009/notebook8c4ed6df20", "kernel_id": "223827"}, {"ref": "agapios/notebook2cdfbb2c96", "kernel_id": "223286"}, {"ref": "sandipsidhu/notebook2eb0e1b2e0", "kernel_id": "223320"}, {"ref": "chenjianzhou/notebooka71894b172", "kernel_id": "223723"}, {"ref": "jasonanne/notebook6415c9d959", "kernel_id": "223578"}, {"ref": "olivepark/test1", "kernel_id": "224421"}, {"ref": "olivepark/notebook7e97cfe221", "kernel_id": "224419"}, {"ref": "coffin5257/notebookd59cf7ff1f", "kernel_id": "228720"}, {"ref": "datapboy/introduction-to-ensembling-stacking-in-python", "kernel_id": "242839"}, {"ref": "yoshidasfsu/notebook48655d2052", "kernel_id": "223529"}, {"ref": "zhengtr/notebookbe6ed189e4", "kernel_id": "223491"}, {"ref": "dtarasi/fork-scikit-learn-ml-from-start-to-finish", "kernel_id": "228092"}, {"ref": "hosinprime/notebook061deabba7", "kernel_id": "223513"}, {"ref": "hosinprime/test111", "kernel_id": "223517"}, {"ref": "shivamsinghal212/notebook9ad13fd4f9", "kernel_id": "240040"}, {"ref": "hgauthier/titanic-data-science-solutions", "kernel_id": "229605"}, {"ref": "mayurjain/surviving-titanic-tragedy-using-python", "kernel_id": "394817"}, {"ref": "alfurderer/notebookfb1f809f27", "kernel_id": "224034"}, {"ref": "alfurderer/titanic-test-1", "kernel_id": "224035"}, {"ref": "mayukhbasu/notebookbf14844f32", "kernel_id": "223870"}, {"ref": "mayukhbasu/notebook6eac4bf1f0", "kernel_id": "223854"}, {"ref": "mzr2017/titanic-best-working-classifier", "kernel_id": "232276"}, {"ref": "neozeromcz/notebookf6027fb087", "kernel_id": "223587"}, {"ref": "mao333/notebook01c1ecc23d", "kernel_id": "239677"}, {"ref": "akekaluck/notebookf529bac1d8", "kernel_id": "223599"}, {"ref": "sabinem/i-accidentally-forked-this", "kernel_id": "414762"}, {"ref": "sabinem/titanic-survivor-geometry", "kernel_id": "416814"}, {"ref": "lululavignel/notebook75bccea98a", "kernel_id": "223623"}, {"ref": "lululavignel/notebook19779bc55c", "kernel_id": "223624"}, {"ref": "lululavignel/fork-of-notebook75bccea98a", "kernel_id": "223939"}, {"ref": "glebshish/titanic", "kernel_id": "223661"}, {"ref": "kirh91/asdas", "kernel_id": "223861"}, {"ref": "kirh91/notebook7d933e453c", "kernel_id": "223869"}, {"ref": "pratikjayarao/svc-beginner", "kernel_id": "365965"}, {"ref": "fonnkwenti/notebook82f347ebcf", "kernel_id": "224160"}, {"ref": "geniiashu/notebookb268fae64d", "kernel_id": "224407"}, {"ref": "franksui/titanic-data-science-solutions", "kernel_id": "224494"}, {"ref": "nuri66/notebooka8434be306", "kernel_id": "223988"}, {"ref": "nuri66/notebookdac3e08882", "kernel_id": "223977"}, {"ref": "hallootto1100/notebook5a87b18e09", "kernel_id": "224638"}, {"ref": "hallootto1100/notebookc5ab5ec0e8", "kernel_id": "224255"}, {"ref": "hallootto1100/testing", "kernel_id": "224256"}, {"ref": "kenhung/notebook7d65993012", "kernel_id": "223864"}, {"ref": "kenhung/notebookce2aafb261", "kernel_id": "223866"}, {"ref": "awatekiran/titanic-py", "kernel_id": "223922"}, {"ref": "cdj4ever/notebook86b0324e10", "kernel_id": "228067"}, {"ref": "kramardeep/notebookea89a10963", "kernel_id": "227188"}, {"ref": "kramardeep/titanic-py", "kernel_id": "227224"}, {"ref": "cgunther13/titanic", "kernel_id": "247191"}, {"ref": "alyssongomes/titanic-predict", "kernel_id": "245112"}, {"ref": "yizezang/notebook004ea7a13a", "kernel_id": "273562"}, {"ref": "yizezang/titanic-solutions", "kernel_id": "279048"}, {"ref": "robbieinertia/titanic-basic", "kernel_id": "257134"}, {"ref": "robbieinertia/notebookcae25c1190", "kernel_id": "257370"}, {"ref": "robbieinertia/notebook2987a59a70", "kernel_id": "223984"}, {"ref": "zekeriya/titanic-data-science-solutions", "kernel_id": "226596"}, {"ref": "dataxpert/titanic-machine-learning-from-disaster", "kernel_id": "518259"}, {"ref": "wdillon2/notebook78803d1b26", "kernel_id": "243986"}, {"ref": "guangtufan/notebook39b954edd3", "kernel_id": "224881"}, {"ref": "freyamurphy/notebook9343e69f6b", "kernel_id": "227533"}, {"ref": "freyamurphy/titanic-data-science-solutions", "kernel_id": "224965"}, {"ref": "gbillmonk/untitled", "kernel_id": "224258"}, {"ref": "gbillmonk/untitled2", "kernel_id": "224270"}, {"ref": "gbillmonk/notebook2a800f1ba2", "kernel_id": "224266"}, {"ref": "gbillmonk/titanic-trial1", "kernel_id": "234302"}, {"ref": "gbillmonk/titanic-data-test", "kernel_id": "280016"}, {"ref": "rtribone/notebook8ae9c17cd4", "kernel_id": "224185"}, {"ref": "netzsooc/notebook7ff0e9ba5b", "kernel_id": "224331"}, {"ref": "jwcdbd/first-test", "kernel_id": "233448"}, {"ref": "weitu820/notebook20baf5d258", "kernel_id": "246749"}, {"ref": "weitu820/notebook43dc08a3cb", "kernel_id": "227824"}, {"ref": "sugeei/titanic-data-science-solutions", "kernel_id": "245910"}, {"ref": "afterman/notebookeaacbac5a8", "kernel_id": "228595"}, {"ref": "afterman/titanic-disaster", "kernel_id": "228621"}, {"ref": "wanghf15/notebook77b04f9b5c", "kernel_id": "224579"}, {"ref": "wanghf15/notebookb0d6ff34bc", "kernel_id": "233073"}, {"ref": "wanghf15/titanic", "kernel_id": "233076"}, {"ref": "lpbirdueng/titaniclearningqi", "kernel_id": "278443"}, {"ref": "lpbirdueng/first-ti", "kernel_id": "278395"}, {"ref": "oasiszrz/titanic-test", "kernel_id": "224397"}, {"ref": "esterengifo/experimentando", "kernel_id": "231863"}, {"ref": "esterengifo/miscript", "kernel_id": "245966"}, {"ref": "xujinhua/titanic-data-science-solutions", "kernel_id": "230580"}, {"ref": "xujinhua/notebookfb169cf1f9", "kernel_id": "230581"}, {"ref": "stitchdata/notebookdf41f5006f", "kernel_id": "228945"}, {"ref": "stitchdata/notebook62fe5430a0", "kernel_id": "226784"}, {"ref": "prashantniraula/titanic-data", "kernel_id": "225220"}, {"ref": "stepzdjm/notebookd4589c4a20", "kernel_id": "224462"}, {"ref": "mwesthues/titanic-machine-learning-from-disaster", "kernel_id": "228677"}, {"ref": "olyakosyura/hello-kaggle", "kernel_id": "231358"}, {"ref": "yujunhui/notebookc73618af34", "kernel_id": "228755"}, {"ref": "jaimeog/titanic-data-science-solutions", "kernel_id": "236210"}, {"ref": "hippodribble/titanic-survival-prediction", "kernel_id": "230616"}, {"ref": "keithchinghokwan/notebook56ea924835", "kernel_id": "225510"}, {"ref": "djkooks/first-step-for-data-research", "kernel_id": "245417"}, {"ref": "ason1123/have-a-try-of-fork", "kernel_id": "225335"}, {"ref": "ason1123/try-titanic-problem", "kernel_id": "225221"}, {"ref": "mcysuibe/notebook18b0d1b519", "kernel_id": "246855"}, {"ref": "qq1351606172/notebook3272353893", "kernel_id": "229314"}, {"ref": "steelrat11/titanic", "kernel_id": "227476"}, {"ref": "baorave/notebookfd16c1a19c", "kernel_id": "224729"}, {"ref": "baorave/exp-py", "kernel_id": "224688"}, {"ref": "baorave/notebookb5fca625f4", "kernel_id": "224677"}, {"ref": "baorave/experiment", "kernel_id": "237445"}, {"ref": "baorave/notebookbf30685db6", "kernel_id": "237464"}, {"ref": "luoyer/first-script", "kernel_id": "224720"}, {"ref": "luoyer/notebookdec2a2fe3d", "kernel_id": "224718"}, {"ref": "dandfly/notebook083b102c91", "kernel_id": "224719"}, {"ref": "dandfly/test001", "kernel_id": "224810"}, {"ref": "ivanscarcipino/scarcibook", "kernel_id": "224750"}, {"ref": "catherinejeppsen/notebook32fd25cbab", "kernel_id": "241589"}, {"ref": "bearkai/notebook0eeacc5577", "kernel_id": "224778"}, {"ref": "dawnchau/titanic-data-science-solutions", "kernel_id": "256700"}, {"ref": "kitivan/my-first-ml-project-titanic-updated-20171010", "kernel_id": "331424"}, {"ref": "vishwa84012/notebook31e12232d3", "kernel_id": "259548"}, {"ref": "riverqiu/notebook5ff9a348e1", "kernel_id": "224900"}, {"ref": "jarodrivi/notebookd45379efde", "kernel_id": "225458"}, {"ref": "bhattt/notebookec4874490a", "kernel_id": "227258"}, {"ref": "kostanv/notebook62a5daf1de", "kernel_id": "224966"}, {"ref": "kostanv/titanic-first-ml-practise", "kernel_id": "224967"}, {"ref": "evanblankenship/testthis", "kernel_id": "224984"}, {"ref": "liyinuo/notebookc5241fbe27", "kernel_id": "224981"}, {"ref": "maya8014/notebook856b53b24c", "kernel_id": "226832"}, {"ref": "louisebc/scikit-learn-ml-from-start-to-finish", "kernel_id": "226019"}, {"ref": "tpprescott/prescotest", "kernel_id": "265910"}, {"ref": "tpprescott/prescotestes", "kernel_id": "265922"}, {"ref": "sssharaf/my-first", "kernel_id": "225002"}, {"ref": "kelianf/notebook98d7b449c3", "kernel_id": "227578"}, {"ref": "madsonrda/notebookf2e6ef4905", "kernel_id": "241514"}, {"ref": "ddancziger/data-analysis-titanic-data", "kernel_id": "225104"}, {"ref": "ddancziger/notebooke444dfd75a", "kernel_id": "225098"}, {"ref": "yc1203968305/notebook0a3ed3c9fc", "kernel_id": "225121"}, {"ref": "rshirotaf/notebook1d7c317a64", "kernel_id": "225165"}, {"ref": "rshirotaf/tutorial1", "kernel_id": "225459"}, {"ref": "manojnakalapala/mkkaggletitanicpython", "kernel_id": "728375"}, {"ref": "hazmanhafiz/notebook1a909b41c5", "kernel_id": "234965"}, {"ref": "richardchau/notebook78cd373abc", "kernel_id": "225222"}, {"ref": "zhanglijuan/titanic-data-science-solutions", "kernel_id": "243686"}, {"ref": "zhanglijuan/kaggle-titanic-python", "kernel_id": "248024"}, {"ref": "aucullus/notebook28601d77b8", "kernel_id": "266468"}, {"ref": "yongchaoliu/notebook8efd381e11", "kernel_id": "227868"}, {"ref": "liveseysj/titanic", "kernel_id": "225302"}, {"ref": "kyla1994/notebook397cb0bc7d", "kernel_id": "252962"}, {"ref": "bgvijay/notebook67040fad1c", "kernel_id": "232160"}, {"ref": "bgvijay/titanic-1", "kernel_id": "232157"}, {"ref": "jeffhsueh/titanic-data-science-solutions-forked", "kernel_id": "225365"}, {"ref": "dayaoguai/notebook2948645bef", "kernel_id": "225393"}, {"ref": "naoya727/notebookc4b45029eb", "kernel_id": "237329"}, {"ref": "quarkus7/notebookc64e8fc2f0", "kernel_id": "225411"}, {"ref": "hadiiishere/hadi-titanic", "kernel_id": "225756"}, {"ref": "shubham1413/test-r", "kernel_id": "230149"}, {"ref": "abhiman836/notebookcf6172ff43", "kernel_id": "225443"}, {"ref": "wpstarnice/notebook532ab193c0", "kernel_id": "225452"}, {"ref": "huangzhonghao/notebook8cad76bcdc", "kernel_id": "225476"}, {"ref": "marveric47/titanic", "kernel_id": "246830"}, {"ref": "gudhachari117/notebookbb095b9926", "kernel_id": "225523"}, {"ref": "gaurav1997garg/notebooka8c61e336a", "kernel_id": "227394"}, {"ref": "yangziwen/load-py", "kernel_id": "229387"}, {"ref": "yangziwen/notebookff8791f4c0", "kernel_id": "229392"}, {"ref": "moreal/titanic-data-science-solutions", "kernel_id": "225757"}, {"ref": "raouia/test0", "kernel_id": "255890"}, {"ref": "jonglancy/titanic-problem", "kernel_id": "255509"}, {"ref": "thiagoribeiro/titanic-exploratory-analysis-binary-classification", "kernel_id": "324273"}, {"ref": "jsmt76/hms-titanic-v1", "kernel_id": "225682"}, {"ref": "jsmt76/hms-titanic-v1-1", "kernel_id": "225685"}, {"ref": "chenshaolong/titanic-data-science-solutions-e7d940", "kernel_id": "225816"}, {"ref": "chenshaolong/titanic-data-science-solutions", "kernel_id": "225811"}, {"ref": "starsplendid/notebookfbb7ba9cba", "kernel_id": "226570"}, {"ref": "fengwensen/notebook1a16257fc1", "kernel_id": "255967"}, {"ref": "sammyboy/notebook5a486c8155", "kernel_id": "261992"}, {"ref": "nishantbigdata/prediction-using-randomforest", "kernel_id": "532926"}, {"ref": "rssisodiya/rsscript", "kernel_id": "230720"}, {"ref": "rssisodiya/notebookd8615dc4e3", "kernel_id": "230717"}, {"ref": "yanbixing/my-titan-kernal", "kernel_id": "261833"}, {"ref": "yanbixing/an-interactive-data-science-tutorial", "kernel_id": "261835"}, {"ref": "yanbixing/titanic-data-science-solutions-with-note", "kernel_id": "261842"}, {"ref": "euphonious/titanic", "kernel_id": "225882"}, {"ref": "f2014296/notebook1c120f5e92", "kernel_id": "227556"}, {"ref": "shashikant7/some-feature-engi-with-ridge-implementation-in-r", "kernel_id": "710690"}, {"ref": "jeetms/acquire-titanic", "kernel_id": "226023"}, {"ref": "jeetms/exploring-survival-on-the-titanic", "kernel_id": "226036"}, {"ref": "ilyshav/notebookfa8ebc8dbd", "kernel_id": "226647"}, {"ref": "rrguardo/learning-test", "kernel_id": "227041"}, {"ref": "krishnan16/notebookd7671f9add", "kernel_id": "236387"}, {"ref": "krishnan16/notebook097ab55ac5", "kernel_id": "236431"}, {"ref": "nealzgu/firstnotebook", "kernel_id": "230969"}, {"ref": "nealzgu/secondnotebook", "kernel_id": "230985"}, {"ref": "vineetraghu/python-titanic", "kernel_id": "269312"}, {"ref": "aarongoulding/knn-machine-learning", "kernel_id": "226767"}, {"ref": "skubatur/notebook4d4a486eab", "kernel_id": "227579"}, {"ref": "skubatur/notebook67e36a0802", "kernel_id": "226898"}, {"ref": "skubatur/ml1-py", "kernel_id": "226307"}, {"ref": "skubatur/ml2-py", "kernel_id": "228459"}, {"ref": "sarahgazelle/notebook97ae597dee", "kernel_id": "226286"}, {"ref": "jsyqrt/the-default-realization", "kernel_id": "228548"}, {"ref": "neumanrq/notebook00c378dd42", "kernel_id": "226607"}, {"ref": "caszhang/notebook33a9bda2ec", "kernel_id": "229597"}, {"ref": "adrii94/titanic", "kernel_id": "226531"}, {"ref": "prash94/python-start", "kernel_id": "226545"}, {"ref": "ztl8702/notebookaf1f953c7e", "kernel_id": "265248"}, {"ref": "ztl8702/titanic-data-science-solutions", "kernel_id": "265251"}, {"ref": "xealml/notebook03f6ac701e", "kernel_id": "226664"}, {"ref": "xealml/ssssss", "kernel_id": "226669"}, {"ref": "xealml/testaaa", "kernel_id": "226652"}, {"ref": "xealml/notebook3a2284dd3e", "kernel_id": "226650"}, {"ref": "izhukov/titanic-data-science-solutions", "kernel_id": "242326"}, {"ref": "qmeeus/titanic-dataset-predict-survival", "kernel_id": "369250"}, {"ref": "qmeeus/zombie", "kernel_id": "226675"}, {"ref": "initialg/titanic-data-science-solutions", "kernel_id": "233942"}, {"ref": "vamsifisi/notebookac2c9b2f9a", "kernel_id": "226707"}, {"ref": "neptune2039/notebook27f8fab0bf", "kernel_id": "227023"}, {"ref": "krrai77/notebookf724e346ae", "kernel_id": "226753"}, {"ref": "krrai77/notebook3acf714137", "kernel_id": "226754"}, {"ref": "arrubo/notebook74efa29717", "kernel_id": "275921"}, {"ref": "traumong/notebook8e942e433a", "kernel_id": "243265"}, {"ref": "traumong/notebook0b6c3739bc", "kernel_id": "243262"}, {"ref": "traumong/notebook66c25ab4d8", "kernel_id": "233909"}, {"ref": "traumong/notebook7d912a7bd2", "kernel_id": "233914"}, {"ref": "traumong/notebook47c69599dd", "kernel_id": "233926"}, {"ref": "traumong/titanic-survey", "kernel_id": "233933"}, {"ref": "traumong/notebook292bc6af24", "kernel_id": "233934"}, {"ref": "traumong/my-first-practise-ml-titanic", "kernel_id": "280757"}, {"ref": "traumong/my-first-practise-kaggle-titanic", "kernel_id": "288608"}, {"ref": "traumong/my-first-step-in-ml-titanic-analysis", "kernel_id": "288102"}, {"ref": "traumong/my-first-task-in-ml-predict-survival-in-titanic", "kernel_id": "280003"}, {"ref": "traumong/my-first-task-ml-titanic", "kernel_id": "280468"}, {"ref": "traumong/fork-of-notebook66c25ab4d8", "kernel_id": "280474"}, {"ref": "traumong/my-first-ml-titanic", "kernel_id": "280501"}, {"ref": "traumong/notebook32ea96bf9a", "kernel_id": "227294"}, {"ref": "greenlight/notebook9951e16b67", "kernel_id": "226778"}, {"ref": "sebaix/kaggle-sebix", "kernel_id": "226769"}, {"ref": "sebaix/notebookd4dbd8fad1", "kernel_id": "230904"}, {"ref": "sebaix/titanic-ml", "kernel_id": "230905"}, {"ref": "mmaguero/titanic-majority-vote-ridge-rf-gbm-achieve-0-8229", "kernel_id": "245412"}, {"ref": "steviemac180/notebookd0db46d7f4", "kernel_id": "280657"}, {"ref": "harryc91/titanic-test-1", "kernel_id": "226792"}, {"ref": "yuchenhu/titanic-random-forest-starter", "kernel_id": "310290"}, {"ref": "cshill/practice", "kernel_id": "226867"}, {"ref": "sharmilarc/titanic-exploration", "kernel_id": "419168"}, {"ref": "kapibara/notebook7e50cd3d1a", "kernel_id": "227995"}, {"ref": "kapibara/a-guide-to-titanic-challenge", "kernel_id": "227999"}, {"ref": "hellovenkat/notebook26d7d0d5c7", "kernel_id": "229137"}, {"ref": "hellovenkat/notebookdab465d3a7", "kernel_id": "277199"}, {"ref": "hellovenkat/titanic-sub1", "kernel_id": "297109"}, {"ref": "forgradschool2018/notebook52afeca51c", "kernel_id": "226928"}, {"ref": "pustar/titanic-data-science-solutions", "kernel_id": "238251"}, {"ref": "wuchao12/notebookb8852a86d7", "kernel_id": "262890"}, {"ref": "douxte/test1", "kernel_id": "227042"}, {"ref": "rrecio/notebooke9c82c603b", "kernel_id": "241707"}, {"ref": "srgrace/notebook6220cc02e0", "kernel_id": "227182"}, {"ref": "weiqiandai/notebook1ad451d11b", "kernel_id": "227392"}, {"ref": "yijhen/notebook15fc209133", "kernel_id": "246659"}, {"ref": "sayanta/notebookf32a895ff2", "kernel_id": "227166"}, {"ref": "zhichengyou/titanic-data-science-solutions", "kernel_id": "227140"}, {"ref": "zhichengyou/notebook8c72423cfe", "kernel_id": "227147"}, {"ref": "faisalali/notebookef18e5ff11", "kernel_id": "227162"}, {"ref": "cwt321/notebookba3b2e6106", "kernel_id": "227165"}, {"ref": "kshitij79/notebook4ecaf8c64c", "kernel_id": "227195"}, {"ref": "olhahlazkova/notebookfb8775fa17", "kernel_id": "227193"}, {"ref": "guillaumegg/notebook03d004f82a", "kernel_id": "230690"}, {"ref": "guillaumegg/titanic-notebook", "kernel_id": "230648"}, {"ref": "guillaumegg/titanic-machine-learning", "kernel_id": "233088"}, {"ref": "srinivaskpt/notebook8231a25d24", "kernel_id": "237302"}, {"ref": "srinivaskpt/first-trail-submission", "kernel_id": "237311"}, {"ref": "apprentis/notebookf12e257787", "kernel_id": "227335"}, {"ref": "apprentis/notebook3d209381d0", "kernel_id": "227347"}, {"ref": "toutong/titanic-data-science-solutions", "kernel_id": "228161"}, {"ref": "inesja/an-interactive-data-science-tutorial", "kernel_id": "232232"}, {"ref": "inesja/first-attempt-titanic-using-neural-networks", "kernel_id": "237417"}, {"ref": "inesja/neural-network", "kernel_id": "237410"}, {"ref": "tomgabriel/titanic-data-analysis-v1", "kernel_id": "227342"}, {"ref": "saksham219/titanic-survival-using-simple-logistic-regression", "kernel_id": "369091"}, {"ref": "leolishiting/1-begin-with-titanic", "kernel_id": "227438"}, {"ref": "rrojas07/notebook9146d31252", "kernel_id": "247212"}, {"ref": "leofdecarvalho/test-kaggle", "kernel_id": "228424"}, {"ref": "prtkmttl/my-test", "kernel_id": "227451"}, {"ref": "milano88/notebookca744d7692", "kernel_id": "227425"}, {"ref": "milano88/firstscript2", "kernel_id": "227502"}, {"ref": "milano88/firstcode", "kernel_id": "279129"}, {"ref": "igorslima/titanic-with-decision-tree-classifier", "kernel_id": "246342"}, {"ref": "akashcatchme/notebookb24c4e357d", "kernel_id": "227435"}, {"ref": "akashcatchme/predict-survival", "kernel_id": "227437"}, {"ref": "kanagawacoder/keras-ml-for-titanic-prediction", "kernel_id": "234589"}, {"ref": "itsmeneha/notebooke377758e7d", "kernel_id": "229926"}, {"ref": "chengycheng/titanic", "kernel_id": "227511"}, {"ref": "jdknox/notebookcfc9935f49", "kernel_id": "228340"}, {"ref": "sherfin94/titanic-data-science-solutions", "kernel_id": "227544"}, {"ref": "majidabedi/test1", "kernel_id": "228723"}, {"ref": "alsaalsa/notebook7882dcea8e", "kernel_id": "262487"}, {"ref": "emtall/titanic-practice", "kernel_id": "227562"}, {"ref": "lisoid/lisoid-and-ml", "kernel_id": "227572"}, {"ref": "lisoid/tensorflow", "kernel_id": "233212"}, {"ref": "andyborst/delete-this", "kernel_id": "231505"}, {"ref": "ndelahou/an-interactive-data-science-tutorial", "kernel_id": "258891"}, {"ref": "azenalex/first-notebook-working-through-titanic-challenge", "kernel_id": "227629"}, {"ref": "ontouchstart/notebook4ce338dd71", "kernel_id": "232498"}, {"ref": "amita1621/notebookd688b5e95e", "kernel_id": "230348"}, {"ref": "calbears88/titanic-script1", "kernel_id": "227823"}, {"ref": "calbears88/titanic-training", "kernel_id": "227820"}, {"ref": "calbears88/titanic-jeff", "kernel_id": "249344"}, {"ref": "johnson0722/notebook0000a2b392", "kernel_id": "227880"}, {"ref": "jq11138/notebook30ecfbafec", "kernel_id": "244621"}, {"ref": "jq11138/notebook84f235911b", "kernel_id": "251633"}, {"ref": "jonesne92/notebooka580137470", "kernel_id": "262756"}, {"ref": "independentvariable/notebook055419bfac", "kernel_id": "227963"}, {"ref": "nareshkpt/notebook45c93293e4", "kernel_id": "262867"}, {"ref": "kaszanka/notebookf5108fbd43", "kernel_id": "228015"}, {"ref": "micah21/notebookea0f0eadf7", "kernel_id": "228809"}, {"ref": "littlerobot77/titanic-test-again", "kernel_id": "279716"}, {"ref": "littlerobot77/notebook9a813b1dcc", "kernel_id": "228003"}, {"ref": "robertomendes/notebookd6949c34de", "kernel_id": "237289"}, {"ref": "saisivasriram/titanic-feature-understanding-from-plots", "kernel_id": "273049"}, {"ref": "saisivasriram/notebookaeead656df", "kernel_id": "257489"}, {"ref": "mengoldschool/titanic", "kernel_id": "274993"}, {"ref": "mengoldschool/fork-of-titanic-random-forest", "kernel_id": "291155"}, {"ref": "bharathb/notebookc5a4aec33d", "kernel_id": "228099"}, {"ref": "omkar25/titanic-quanta", "kernel_id": "307855"}, {"ref": "atishrah25/titanic", "kernel_id": "283426"}, {"ref": "jasonnk/maiden-voyage-on-kaggle-gq", "kernel_id": "268885"}, {"ref": "jasonnk/maiden-voyage-on-kaggle", "kernel_id": "268878"}, {"ref": "podata/notebook559ca5f7db", "kernel_id": "228146"}, {"ref": "podata/just-test", "kernel_id": "228149"}, {"ref": "saisreevatsav/notebook2bb52feb53", "kernel_id": "228579"}, {"ref": "panaggiottis/notebook5e9dfd38b4", "kernel_id": "230971"}, {"ref": "pyamada/notebook29d838b0b0", "kernel_id": "228117"}, {"ref": "gtimworks/hello001", "kernel_id": "239544"}, {"ref": "zenabbohra/zenab-kaggle1", "kernel_id": "228538"}, {"ref": "zenabbohra/notebook88788a9289", "kernel_id": "228660"}, {"ref": "akshayreddykotha/titanic-data-science-solutions-explore", "kernel_id": "234482"}, {"ref": "bryce123/a-journey-through-titanic", "kernel_id": "228194"}, {"ref": "bryce123/a-journey-through-titanic-22e362", "kernel_id": "228198"}, {"ref": "bryce123/a-journey-through-titanic-76d974", "kernel_id": "228199"}, {"ref": "jonatajefferson/notebook75969bbf63", "kernel_id": "228264"}, {"ref": "trix999/starting-my-journey-here-with-titanic", "kernel_id": "244095"}, {"ref": "trix999/titanic-again", "kernel_id": "268312"}, {"ref": "madfrog/notebookf03657402a", "kernel_id": "246339"}, {"ref": "devghiles/from-problem-to-solution-step-by-step", "kernel_id": "590227"}, {"ref": "niallbrickell/notebookd840f0dca9", "kernel_id": "228337"}, {"ref": "niallbrickell/notebook22df4a3517", "kernel_id": "228334"}, {"ref": "niallbrickell/test1", "kernel_id": "228339"}, {"ref": "fkscreed/notebookbe4ee280f5", "kernel_id": "228386"}, {"ref": "lmmzka/prediction-of-passeger-in-titanic", "kernel_id": "409126"}, {"ref": "arekisannda/notebook577819d0e5", "kernel_id": "228400"}, {"ref": "arekisannda/test5", "kernel_id": "228407"}, {"ref": "sharonqi/aaaaa", "kernel_id": "228422"}, {"ref": "atician/test1", "kernel_id": "228524"}, {"ref": "kakaisgrom/notebook31029942a4", "kernel_id": "232770"}, {"ref": "chenhj/notebook9bc559530a", "kernel_id": "228458"}, {"ref": "shiftcommathree/notebook272ccc959c", "kernel_id": "229685"}, {"ref": "claireqinyu/fork-of-titanic-data-science-solutions", "kernel_id": "228498"}, {"ref": "bingbbb/notebookf45877ed32", "kernel_id": "229500"}, {"ref": "xuyilei0731/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "228640"}, {"ref": "maruja/first-trial-titanic", "kernel_id": "228633"}, {"ref": "maruja/notebooke0b8a16988", "kernel_id": "228627"}, {"ref": "youssefk/notebookba44659c72", "kernel_id": "228628"}, {"ref": "youssefk/titanic-data-science-solutions-36db6c", "kernel_id": "236934"}, {"ref": "rishabh4/notebookc3b454bdea", "kernel_id": "228662"}, {"ref": "khajaferoz/notebook4d21f3b3da", "kernel_id": "228655"}, {"ref": "zahharovareal/jack-and-rose-not-so-romantic", "kernel_id": "234222"}, {"ref": "zahharovareal/notebookff436b93ec", "kernel_id": "229622"}, {"ref": "christinatm/notebookc7eb4791b9", "kernel_id": "228725"}, {"ref": "yuanquanlu/notebook71335bb1f7", "kernel_id": "228920"}, {"ref": "xamarin/notebook4324080903", "kernel_id": "228745"}, {"ref": "oreoxie/sssht", "kernel_id": "242914"}, {"ref": "oreoxie/test1", "kernel_id": "231373"}, {"ref": "benteo/titanic-top-10-my-first-competition", "kernel_id": "265111"}, {"ref": "lusob04/titanic-rnn", "kernel_id": "304706"}, {"ref": "lusob04/notebook32f4ffb95f", "kernel_id": "228817"}, {"ref": "dalematthews/notebook3a5378d00e", "kernel_id": "230418"}, {"ref": "dalematthews/notebook8f5e8d85ba", "kernel_id": "232458"}, {"ref": "dalematthews/titanic-i-have-no-idea-what-i-am-doing", "kernel_id": "232459"}, {"ref": "tianmenglou/titanic-data-science-solutions", "kernel_id": "231498"}, {"ref": "tianmenglou/notebookc99f2c96c5", "kernel_id": "231493"}, {"ref": "benjaminovak/scikit-learn-ml-from-start-to-finish", "kernel_id": "228892"}, {"ref": "johnan1981/notebook7a8345de82", "kernel_id": "228878"}, {"ref": "jinlin/notebookdf2fc83292", "kernel_id": "229651"}, {"ref": "gafe88/test-1", "kernel_id": "228912"}, {"ref": "gafe88/training", "kernel_id": "272578"}, {"ref": "tmccarthy3/first-try", "kernel_id": "228911"}, {"ref": "wmdavidson/notebook402e4050aa", "kernel_id": "233961"}, {"ref": "hoppipollaa/test1", "kernel_id": "229011"}, {"ref": "johnsjdsd/notebook3180ff0ccd", "kernel_id": "236376"}, {"ref": "yongguangchen/notebook7e4477d868", "kernel_id": "228995"}, {"ref": "jingshan1989/jingshan-notebook-for-kaggle", "kernel_id": "229010"}, {"ref": "jingshan1989/notebook8aec9235d6", "kernel_id": "231134"}, {"ref": "phelanspence/notebook4fb2aa6b6f", "kernel_id": "235392"}, {"ref": "michaelhazell/notebook8b0cfcc867", "kernel_id": "228989"}, {"ref": "michaelhazell/notebookacf52b75be", "kernel_id": "228992"}, {"ref": "nwjimmc/notebook7870defb34", "kernel_id": "242385"}, {"ref": "therhino/neural-net-1-1", "kernel_id": "242354"}, {"ref": "dgonchar/notebooke3cd9fde92", "kernel_id": "229061"}, {"ref": "ccortez/notebook750a3916ed", "kernel_id": "230869"}, {"ref": "phersu/notebook2dfa54465e", "kernel_id": "229067"}, {"ref": "excitebike/notebook9a3d07dfb6", "kernel_id": "229079"}, {"ref": "excitebike/notebook2dfca6287d", "kernel_id": "232418"}, {"ref": "activeuser/titanic-data-science-solutions-d0a874", "kernel_id": "234770"}, {"ref": "kzhang8975/titanic", "kernel_id": "245825"}, {"ref": "mahdimk/notebook8a83253420", "kernel_id": "229130"}, {"ref": "mahdimk/notebook738c0702d6", "kernel_id": "229180"}, {"ref": "robertoharuo/titanic-random-forest", "kernel_id": "417101"}, {"ref": "buckminster/notebooka8eed60e0a", "kernel_id": "229135"}, {"ref": "howon92/solving-the-titanic-problem-naive-approach", "kernel_id": "229146"}, {"ref": "mayingzi/notebook40264734e8", "kernel_id": "229201"}, {"ref": "steviediesel/titanic", "kernel_id": "229192"}, {"ref": "steviediesel/notebook3b9190561a", "kernel_id": "229189"}, {"ref": "jintian82/tian-titanic", "kernel_id": "229573"}, {"ref": "jmseason/fork-of-a-journey-through-titanic-4fe245", "kernel_id": "230800"}, {"ref": "jmseason/a-journey-through-titanic-4fe245", "kernel_id": "230567"}, {"ref": "cmhchoi/exploring-survival-on-the-titanic", "kernel_id": "231406"}, {"ref": "hklchung/titanic-ml-step-by-step-beginner-s-guide", "kernel_id": "394595"}, {"ref": "nashyegi/who-all-survived-the-titanic", "kernel_id": "230474"}, {"ref": "dimaxxx/notebook96d4186123", "kernel_id": "234527"}, {"ref": "dimaxxx/test-titanic", "kernel_id": "234511"}, {"ref": "dimaxxx/notebook712bb3bc3a", "kernel_id": "236568"}, {"ref": "vikteva/test-kaggle", "kernel_id": "230958"}, {"ref": "vivek27/notebook6d9d0c5e91", "kernel_id": "229613"}, {"ref": "brzostek/notebook25fe5c16ba", "kernel_id": "229379"}, {"ref": "cuizepeng/notebookbc38014667", "kernel_id": "230481"}, {"ref": "lookdeepu/draft-what-are-the-odds-jack-survive-crash", "kernel_id": "259612"}, {"ref": "rashmitiwari1990/notebookca7f5e9a19", "kernel_id": "229433"}, {"ref": "hengzi/notebook0fc20f5668", "kernel_id": "230722"}, {"ref": "hengzi/notebook198e4e056b", "kernel_id": "231174"}, {"ref": "hengzi/notebookfce31f11f1", "kernel_id": "231175"}, {"ref": "hengzi/notebooka8f206f196", "kernel_id": "229995"}, {"ref": "moonpray/titanic-script-exercise", "kernel_id": "350902"}, {"ref": "monikapeteva/who-all-survived-the-titanic-3b45d7", "kernel_id": "235993"}, {"ref": "monikapeteva/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "235995"}, {"ref": "monikapeteva/who-all-survived-the-titanic", "kernel_id": "235991"}, {"ref": "jbyabazaire/notebook75e3a98aba", "kernel_id": "229495"}, {"ref": "peteryun/my-first-titanic", "kernel_id": "229486"}, {"ref": "hindhu/notebookee78807dfc", "kernel_id": "229575"}, {"ref": "technicalwise/notebook039e848ea8", "kernel_id": "229653"}, {"ref": "sidhuking07/titanic-survival", "kernel_id": "229797"}, {"ref": "samotron23/notebook1ee86fe6a5", "kernel_id": "229619"}, {"ref": "zbspeed/notebook18e78b4ed7", "kernel_id": "229717"}, {"ref": "foxwendyzhao/titanic-data-science-solutions-ca59c2", "kernel_id": "231637"}, {"ref": "achetan40/notebookd81debbd88", "kernel_id": "229787"}, {"ref": "cxr344/my-first-notebook", "kernel_id": "234720"}, {"ref": "cxr344/titanic-data-science-solutions", "kernel_id": "234734"}, {"ref": "abhisaary/an-interactive-data-science-tutorial", "kernel_id": "229799"}, {"ref": "abhisaary/titanic-data-science-solutions", "kernel_id": "229795"}, {"ref": "ajaythorve/test-ipynb", "kernel_id": "229823"}, {"ref": "ajusevunv/notebookf34d05f86b", "kernel_id": "229873"}, {"ref": "barslan/notebook6a0077ade4", "kernel_id": "229880"}, {"ref": "barslan/notebook3df93ff081", "kernel_id": "229877"}, {"ref": "barslan/notebookde6be3eba6", "kernel_id": "230657"}, {"ref": "beatrizhs/notebook6b895f9522", "kernel_id": "244174"}, {"ref": "coffee25/notebookecfdfdec32", "kernel_id": "229929"}, {"ref": "ravi501/notebookb57191b39e", "kernel_id": "258537"}, {"ref": "ababayan13/an-interactive-data-science-tutorial", "kernel_id": "229954"}, {"ref": "gulstaff/notebooke4b8746425", "kernel_id": "235139"}, {"ref": "gulstaff/titanic-first-kaggle", "kernel_id": "229943"}, {"ref": "ssfong/an-interactive-data-science-tutorial", "kernel_id": "237139"}, {"ref": "runningyz/notebookef9a995442", "kernel_id": "229964"}, {"ref": "duncan94/notebookd7a31f2555", "kernel_id": "229962"}, {"ref": "duncan94/kjhkj", "kernel_id": "229963"}, {"ref": "chinki/titanic-work", "kernel_id": "563201"}, {"ref": "junjunjun/notebookdb8e3eb867", "kernel_id": "242080"}, {"ref": "junjunjun/titanic-kaggle", "kernel_id": "246426"}, {"ref": "junjunjun/notebook6793cb7829", "kernel_id": "253304"}, {"ref": "junjunjun/notebook203c730309", "kernel_id": "253380"}, {"ref": "junjunjun/notebook5c6f7e9a79", "kernel_id": "253381"}, {"ref": "junjunjun/titanic-ticketnumber-visualization", "kernel_id": "253382"}, {"ref": "yf704475209/notebookd196a4a3bd", "kernel_id": "235640"}, {"ref": "vikshyd/an-interactive-data-science-tutorial", "kernel_id": "238267"}, {"ref": "huangzhuangzhuang/titanic-competition", "kernel_id": "236197"}, {"ref": "huangzhuangzhuang/notebook8c637858e0", "kernel_id": "230029"}, {"ref": "quantpy/notebookfcffae307a", "kernel_id": "230470"}, {"ref": "quantpy/notebook40cfff1b43", "kernel_id": "230471"}, {"ref": "isharaux/notebookf5bc8953ba", "kernel_id": "232143"}, {"ref": "masuhara/notebook224f73f726", "kernel_id": "230093"}, {"ref": "yumayabuki/notebook6551ab843f", "kernel_id": "230094"}, {"ref": "pitchp/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "233708"}, {"ref": "anuj10121997/titanic", "kernel_id": "230136"}, {"ref": "alex5207/first-try", "kernel_id": "275083"}, {"ref": "edubot/notebookd757cfff4e", "kernel_id": "230910"}, {"ref": "edubot/titanic-using-random-forest", "kernel_id": "230935"}, {"ref": "jponte/notebooke1648bcf72", "kernel_id": "230165"}, {"ref": "molix26/test1titanic", "kernel_id": "230890"}, {"ref": "molix26/notebookc083e4a61b", "kernel_id": "230881"}, {"ref": "molix26/notebook5e2ceac4d4", "kernel_id": "230888"}, {"ref": "molix26/notebookad6fc9e1cb", "kernel_id": "230938"}, {"ref": "apiccion/notebookea6bf0c082", "kernel_id": "230679"}, {"ref": "apiccion/first", "kernel_id": "230683"}, {"ref": "akshaykumarlilani/kaggle-submission", "kernel_id": "238868"}, {"ref": "rianaelferin/test1", "kernel_id": "230257"}, {"ref": "anandgopal/exploring-survival-on-the-titanic", "kernel_id": "230260"}, {"ref": "amitchauhan/machine-learning-titanic-1st", "kernel_id": "230309"}, {"ref": "amitchauhan/notebooka4d9fe91a1", "kernel_id": "230304"}, {"ref": "amitchauhan/notebookc54f89e2ae", "kernel_id": "230294"}, {"ref": "ankitpurohit91/notebookca265497ed", "kernel_id": "230321"}, {"ref": "ankitpurohit91/code-file", "kernel_id": "230322"}, {"ref": "spectoro/first-attempt-at-python", "kernel_id": "230405"}, {"ref": "ziechen/tutorial", "kernel_id": "230521"}, {"ref": "jeffpohlmeyer/jvp-titanic", "kernel_id": "230731"}, {"ref": "jeffpohlmeyer/kaggle-titanic-python", "kernel_id": "231717"}, {"ref": "jeffpohlmeyer/titanic-learning", "kernel_id": "234060"}, {"ref": "andreas25/titanic-data-science-solutions", "kernel_id": "230427"}, {"ref": "mursabogdan/test1", "kernel_id": "233948"}, {"ref": "reddragon27/notebookf8872de978", "kernel_id": "230460"}, {"ref": "f2um2326/my-tutorial-kernel", "kernel_id": "341881"}, {"ref": "waynechen/notebook262d98efa3", "kernel_id": "233813"}, {"ref": "waynechen/test1", "kernel_id": "237115"}, {"ref": "peroxideha/notebookfdf15a1acb", "kernel_id": "231887"}, {"ref": "nikanth/titanic-data-science-solutions", "kernel_id": "230538"}, {"ref": "xxczwl/titanic", "kernel_id": "230543"}, {"ref": "benjiang/notebook9701f5f33e", "kernel_id": "230542"}, {"ref": "binroo/notebook3bc7bc96e6", "kernel_id": "230568"}, {"ref": "binroo/notebook6566993791", "kernel_id": "230562"}, {"ref": "kapill/test-kapil", "kernel_id": "231915"}, {"ref": "yd8534976/a-journey-through-titanic", "kernel_id": "232202"}, {"ref": "linxinzhe/tensorflow-deep-learning-to-solve-titanic", "kernel_id": "268097"}, {"ref": "changlab/notebooka9fad28d98", "kernel_id": "230619"}, {"ref": "darkfunction/notebook5ae049db08", "kernel_id": "263580"}, {"ref": "darkfunction/notebookb11c7aa089", "kernel_id": "263583"}, {"ref": "akhil23uchil193/notebook28fe47e28b", "kernel_id": "230669"}, {"ref": "ttoleung/titanic-prediction-tutorial", "kernel_id": "275861"}, {"ref": "rakeshkpt/notebookde7ff336f7", "kernel_id": "232169"}, {"ref": "naorkal/my-first-kaggle-comp", "kernel_id": "269173"}, {"ref": "alexbols/titanic-data-science-solutions", "kernel_id": "241218"}, {"ref": "marklma/notebook02f1e10305", "kernel_id": "243906"}, {"ref": "marklma/exploring-survival-on-the-titanic", "kernel_id": "261253"}, {"ref": "joduis/titanic-data-science-solutions-13dd0d", "kernel_id": "253094"}, {"ref": "joduis/import-data", "kernel_id": "230779"}, {"ref": "ouclvsong/notebook54bc0d7778", "kernel_id": "236272"}, {"ref": "wangkunfei/titaniclearningqi", "kernel_id": "241028"}, {"ref": "mohtanweer/an-interactive-data-science-tutorial", "kernel_id": "237124"}, {"ref": "nittiin/notebookf7dfc903d4", "kernel_id": "240690"}, {"ref": "jxlxhlq/notebookb35f0eebac", "kernel_id": "230932"}, {"ref": "elty94/test1", "kernel_id": "230953"}, {"ref": "wlegrange/willie-titanic-survival-kit", "kernel_id": "230921"}, {"ref": "headsortails/pytanic", "kernel_id": "232566"}, {"ref": "headsortails/tidy-titarnic", "kernel_id": "299068"}, {"ref": "ming2242/notebookc5986befde", "kernel_id": "277832"}, {"ref": "rakshitvaru/notebookd11c311270", "kernel_id": "230980"}, {"ref": "ethanop/notebook0f2f93556d", "kernel_id": "230998"}, {"ref": "abysr01/notebookb2806414fd", "kernel_id": "235601"}, {"ref": "abysr01/notebook9f58b66362", "kernel_id": "235606"}, {"ref": "ahyeonh/notebook594d2b6930", "kernel_id": "231062"}, {"ref": "jennylia/notebook5a44c2a209", "kernel_id": "231961"}, {"ref": "jennylia/titanic-data-science-solutions", "kernel_id": "231965"}, {"ref": "kellide/titanic-data-science-solutions-intro-practice", "kernel_id": "235711"}, {"ref": "csoldiers/notebookb2d8e6bafe", "kernel_id": "244698"}, {"ref": "csoldiers/notebook602f467c5a", "kernel_id": "244700"}, {"ref": "csoldiers/fork-of-notebookcf457df410", "kernel_id": "244712"}, {"ref": "doccccu/notebook9a19c6a9a7", "kernel_id": "231978"}, {"ref": "doccccu/titanic-data-science-solutions", "kernel_id": "231474"}, {"ref": "doccccu/notebook1368db3649", "kernel_id": "245191"}, {"ref": "arvindrama/titanic-survivor-logistic-regression", "kernel_id": "462513"}, {"ref": "vinamer/notebookb14e2c10b6", "kernel_id": "231247"}, {"ref": "illusorytime/titanic-machine-learning-from-disaster", "kernel_id": "232388"}, {"ref": "longxiao888/testfunctoin", "kernel_id": "231368"}, {"ref": "rikith/tests", "kernel_id": "231265"}, {"ref": "rikith/notebook196d7aed1f", "kernel_id": "277533"}, {"ref": "rikith/first-test", "kernel_id": "277535"}, {"ref": "vunzkoo/notebookaefd11f249", "kernel_id": "231357"}, {"ref": "geraldyang/tensorflow", "kernel_id": "278362"}, {"ref": "xbldev/my-first-kernel-for-titanic-example", "kernel_id": "231831"}, {"ref": "phoxiao/an-interactive-data-science-tutorial", "kernel_id": "241336"}, {"ref": "kaggle0910/notebookf114753530", "kernel_id": "232138"}, {"ref": "pbaskaran/notebook51fc7ea820", "kernel_id": "231336"}, {"ref": "remsporium/notebook215e0434ad", "kernel_id": "231624"}, {"ref": "kirankadam07/test-kiran-kadam", "kernel_id": "232853"}, {"ref": "miketsoy/notebookf982ed64e8", "kernel_id": "235287"}, {"ref": "doudoutiao/titanic-data-science-solutions", "kernel_id": "243721"}, {"ref": "cpattekar/notebook-for-titanic", "kernel_id": "232922"}, {"ref": "cpattekar/notebook77272a2ddb", "kernel_id": "232883"}, {"ref": "adambarnes/titanic-first-random-forest", "kernel_id": "231413"}, {"ref": "naveenhj/notebook96efae65ae", "kernel_id": "231460"}, {"ref": "audreyk/notebookda6bf6e5ef", "kernel_id": "231485"}, {"ref": "sharker/notebook2f631e40cd", "kernel_id": "231898"}, {"ref": "matianjun1/an-interactive-data-science-tutorial-f3365b", "kernel_id": "249804"}, {"ref": "matianjun1/scikit-learn-ml-from-start-to-finish", "kernel_id": "251335"}, {"ref": "rryanwang/titanic-data-science-solutions-tutorials", "kernel_id": "232040"}, {"ref": "jayc46/jc-script", "kernel_id": "231562"}, {"ref": "fitzclutchington/titanic-challenge", "kernel_id": "236562"}, {"ref": "roryhny/fr-predictions-sur-le-titanic", "kernel_id": "373524"}, {"ref": "heptapod/binary-logistic-regression", "kernel_id": "251698"}, {"ref": "shwong/notebook66c2cac002", "kernel_id": "246989"}, {"ref": "proj20/exploring-survival-on-the-titanic", "kernel_id": "234552"}, {"ref": "ikolosov/notebook1e71dfe3b7", "kernel_id": "231640"}, {"ref": "shicode/notebook5a5faa808f", "kernel_id": "231916"}, {"ref": "shicode/notebook2213cc61fb", "kernel_id": "231937"}, {"ref": "shicode/testttt", "kernel_id": "231941"}, {"ref": "vardos/leaning-titanic", "kernel_id": "232294"}, {"ref": "vardos/learning-titanic", "kernel_id": "232298"}, {"ref": "kkapil/notebook446ae88d7f", "kernel_id": "231676"}, {"ref": "cambridge1209/notebook330f64e93f", "kernel_id": "231679"}, {"ref": "waretzsarafian/decision-tree", "kernel_id": "328522"}, {"ref": "jtbventura/notebookc69905448b", "kernel_id": "231728"}, {"ref": "elewallen/notebook4d80820d0e", "kernel_id": "261756"}, {"ref": "elewallen/notebookf547190bbe", "kernel_id": "259999"}, {"ref": "fremontangler/factorplot-evaluation-investigation", "kernel_id": "242328"}, {"ref": "fremontangler/data-cleaning-and-feature-selecting", "kernel_id": "242329"}, {"ref": "tony93/notebook73ba9c5bd7", "kernel_id": "233814"}, {"ref": "hanlufeng/first-script", "kernel_id": "231748"}, {"ref": "tebandesade/teban101", "kernel_id": "231758"}, {"ref": "tebandesade/notebooka6af3755d5", "kernel_id": "231750"}, {"ref": "grandathepanda/titanic-fun", "kernel_id": "254197"}, {"ref": "jdavids01/titaniclearningqi", "kernel_id": "248470"}, {"ref": "esyfakh/notebookee39a31030", "kernel_id": "240068"}, {"ref": "robinzzb/notebook09b377d135", "kernel_id": "267999"}, {"ref": "zacholauson/notebook1f81ae1a18", "kernel_id": "231824"}, {"ref": "brothaman/notebookb8c898135c", "kernel_id": "266013"}, {"ref": "ankitrv/titanic-problem", "kernel_id": "234586"}, {"ref": "hanyining/notebook968cbdf3df", "kernel_id": "235834"}, {"ref": "hanyining/titanic-data-science-solutions", "kernel_id": "236214"}, {"ref": "hanyining/introduction-to-ensembling-stacking-in-python", "kernel_id": "238241"}, {"ref": "embrown/notebook98be5e3dc9", "kernel_id": "231925"}, {"ref": "zhang24/titanic-data-science-solutions", "kernel_id": "244343"}, {"ref": "pintoko/notebook57e181c527", "kernel_id": "232016"}, {"ref": "yuanxuan/an-interactive-data-science-tutorial-621eec", "kernel_id": "233801"}, {"ref": "yuanxuan/titanic-best-working-classifier", "kernel_id": "234457"}, {"ref": "yuanxuan/scikit-learn-ml-from-start-to-finish-3531fd", "kernel_id": "234348"}, {"ref": "yuanxuan/titanic-random-forest-82-78", "kernel_id": "236263"}, {"ref": "yuanxuan/an-interactive-data-science-tutorial-94a9a7", "kernel_id": "244613"}, {"ref": "mohana7/notebookf2f4c01ea2", "kernel_id": "232941"}, {"ref": "as1009/notebookd5433d8aef", "kernel_id": "232116"}, {"ref": "hungryarie/an-interactive-data-science-tutorial", "kernel_id": "250010"}, {"ref": "thenightfox/notebookc87c432d58", "kernel_id": "238327"}, {"ref": "jbanier/notebook009d7befe0", "kernel_id": "232183"}, {"ref": "dipikabaad0107/firstprogram", "kernel_id": "232259"}, {"ref": "arenhaddeler/notebookdee0e1e223", "kernel_id": "232528"}, {"ref": "arenhaddeler/notebook7bf33c53bd", "kernel_id": "232158"}, {"ref": "shelarsk/notebookeac900bbfa", "kernel_id": "232199"}, {"ref": "shelarsk/first", "kernel_id": "232200"}, {"ref": "neeleshkumar/notebookeb3c094cc7", "kernel_id": "232214"}, {"ref": "beleev/titanic", "kernel_id": "348861"}, {"ref": "iquicktest/hello", "kernel_id": "232249"}, {"ref": "depblu/notebook499f301713", "kernel_id": "232266"}, {"ref": "depblu/12345", "kernel_id": "232267"}, {"ref": "jseijas/titanic", "kernel_id": "232286"}, {"ref": "pandong/taitan-predicte-survived", "kernel_id": "293624"}, {"ref": "newkrux/notebook4061b0bb08", "kernel_id": "232269"}, {"ref": "nicolaruprecht/notebooka6c0122818", "kernel_id": "241256"}, {"ref": "mitali0201/an-interactive-data-science-tutorial", "kernel_id": "242855"}, {"ref": "christiankolding/kaggle-titanic-random-forest-80-86", "kernel_id": "237583"}, {"ref": "mike6e/notebook10b5344eb5", "kernel_id": "232390"}, {"ref": "mike6e/notebook0398b94661", "kernel_id": "232391"}, {"ref": "mike6e/notebookd722c9d105", "kernel_id": "232382"}, {"ref": "eeshirliey/notebook2a7cef9ace", "kernel_id": "232381"}, {"ref": "sharmaharsh/titanic-using-ensemble-average", "kernel_id": "851408"}, {"ref": "wilsonbrito/notebook3a0fcb31df", "kernel_id": "234709"}, {"ref": "markr987/notebook551d6b883c", "kernel_id": "235109"}, {"ref": "aerosh/an-interactive-data-science-tutorial", "kernel_id": "237326"}, {"ref": "parimer/notebookaa03892344", "kernel_id": "233225"}, {"ref": "billstuart/titanic-machine-learning-from-disaster", "kernel_id": "623973"}, {"ref": "dkulkarni/test-my-notebook", "kernel_id": "242383"}, {"ref": "amsone/notebook29119a643b", "kernel_id": "233108"}, {"ref": "amsone/notebook785e3e9765", "kernel_id": "275302"}, {"ref": "flyma75014/test6", "kernel_id": "243142"}, {"ref": "laurentthunder/titanic", "kernel_id": "232636"}, {"ref": "lbucci/titanic-data-science-solutions", "kernel_id": "233143"}, {"ref": "cnlangness/titanic-learning-notebook", "kernel_id": "232610"}, {"ref": "cnlangness/kaggle-titanic-tutorial-notebook", "kernel_id": "262843"}, {"ref": "berrywedi/bereket-1-sub", "kernel_id": "240067"}, {"ref": "berrywedi/bereket-submission", "kernel_id": "239382"}, {"ref": "huijunzhao/titanic", "kernel_id": "233378"}, {"ref": "huijunzhao/titanic-r", "kernel_id": "308935"}, {"ref": "altsuzy/notebook63d431ab65", "kernel_id": "253602"}, {"ref": "altsuzy/notebook659f64cfb2", "kernel_id": "253605"}, {"ref": "jessicamirely/jessica-notebook", "kernel_id": "240305"}, {"ref": "jessicamirely/mytitanicsolution", "kernel_id": "240308"}, {"ref": "liushushu/titanic-data-science-solutions", "kernel_id": "256542"}, {"ref": "anuruddhapathiranage/notebook02c6dc265b", "kernel_id": "233990"}, {"ref": "anuruddhapathiranage/notebook053a774330", "kernel_id": "232706"}, {"ref": "ragdroid/notebookb7fb2a5eb3", "kernel_id": "232710"}, {"ref": "elliottmurray/an-interactive-data-science-tutorial", "kernel_id": "241670"}, {"ref": "elliottmurray/test-notebook", "kernel_id": "241799"}, {"ref": "elliottmurray/test-titanic", "kernel_id": "241788"}, {"ref": "minniexu/notebook70729a9f85", "kernel_id": "233366"}, {"ref": "minniexu/notebook8fa0b5611d", "kernel_id": "233367"}, {"ref": "minniexu/notebook94f8c1a598", "kernel_id": "233369"}, {"ref": "zhuanshi/notebook8038276592", "kernel_id": "239040"}, {"ref": "keenank/titanic-data-science", "kernel_id": "387191"}, {"ref": "calericcai/notebookc8478c1007", "kernel_id": "232756"}, {"ref": "jaydenzhu/algorithm", "kernel_id": "244493"}, {"ref": "jawsthehobo/notebook6d5d5b9573", "kernel_id": "232816"}, {"ref": "nerissajoanne/notebooka08fdbf17f", "kernel_id": "232830"}, {"ref": "bluemapletom/titaniclearningqi-738109", "kernel_id": "241084"}, {"ref": "adebayor123/titanic", "kernel_id": "239976"}, {"ref": "clemensmzr/notebook7f2d422f40", "kernel_id": "232798"}, {"ref": "huipinghuang/notebooke98a5d548f", "kernel_id": "238758"}, {"ref": "huipinghuang/notebookb6ac3f8afd", "kernel_id": "237019"}, {"ref": "emaadrafi/first-attempt", "kernel_id": "232820"}, {"ref": "anshul0028/notebook087f9b6cfd", "kernel_id": "234300"}, {"ref": "prashant056/notebook1b2d78b1e8", "kernel_id": "233063"}, {"ref": "prashant056/notebookeb07566af5", "kernel_id": "232837"}, {"ref": "prashant056/notebookfbadc70a4f", "kernel_id": "232873"}, {"ref": "bill0019/notebook5076003aa9", "kernel_id": "233846"}, {"ref": "bill0019/notebook16ccab3c76", "kernel_id": "233851"}, {"ref": "bill0019/notebook7426e326ac", "kernel_id": "233853"}, {"ref": "bill0019/firsttry", "kernel_id": "233866"}, {"ref": "bill0019/notebook9e93b83e46", "kernel_id": "233880"}, {"ref": "bill0019/notebook9798ea72db", "kernel_id": "234226"}, {"ref": "bill0019/notebooke1119d9dc5", "kernel_id": "234262"}, {"ref": "storkar/notebook1b856e4622", "kernel_id": "236605"}, {"ref": "storkar/test4", "kernel_id": "236606"}, {"ref": "storkar/test3", "kernel_id": "236598"}, {"ref": "storkar/test-titanic", "kernel_id": "236468"}, {"ref": "jupp0r/notebook7e62794db2", "kernel_id": "232860"}, {"ref": "harshjoya/titanic-in-r", "kernel_id": "232889"}, {"ref": "harshjoya/titanic-r-hr", "kernel_id": "233721"}, {"ref": "mfonsecama/tensorflow", "kernel_id": "232973"}, {"ref": "pengmao/notebooke2b08a02c7", "kernel_id": "232957"}, {"ref": "felixdae/an-interactive-data-science-tutorial-e67527", "kernel_id": "232929"}, {"ref": "tigercakes/starting", "kernel_id": "236662"}, {"ref": "tigercakes/notebookc57c48aaf0", "kernel_id": "236659"}, {"ref": "toramky/notebook2411b57cce", "kernel_id": "249588"}, {"ref": "toramky/notebookfefb0075ed", "kernel_id": "249552"}, {"ref": "robintelford/titanic-explore", "kernel_id": "232980"}, {"ref": "robintelford/notebook7aeebb8252", "kernel_id": "240058"}, {"ref": "sjoerdcor/notebook37f9783085", "kernel_id": "233737"}, {"ref": "sjoerdcor/nntest", "kernel_id": "299236"}, {"ref": "robertluojun/knn-classify", "kernel_id": "233973"}, {"ref": "robertluojun/ttttt", "kernel_id": "233053"}, {"ref": "niteshswaroop/notebook16fcd154b6", "kernel_id": "233646"}, {"ref": "niteshswaroop/titanic", "kernel_id": "233647"}, {"ref": "niteshswaroop/notebook90aae52df5", "kernel_id": "233648"}, {"ref": "barnacles/notebook91107b0cdc", "kernel_id": "233195"}, {"ref": "haoransun2ecust/titanic-data-science-solutions", "kernel_id": "233589"}, {"ref": "kobezorro/titanic-my-try", "kernel_id": "234975"}, {"ref": "agarcher/scikit-learn-ml-from-start-to-finish", "kernel_id": "233109"}, {"ref": "frankibaby/tattnicfk", "kernel_id": "233435"}, {"ref": "frankibaby/notebook05f7888802", "kernel_id": "233433"}, {"ref": "frankibaby/titanicfk", "kernel_id": "233427"}, {"ref": "poojababu/exploring-survival-on-the-titanic", "kernel_id": "272375"}, {"ref": "smokeout/notebooke76159fb82", "kernel_id": "237617"}, {"ref": "smokeout/notebook970b059bc2", "kernel_id": "237599"}, {"ref": "jihyehong/kaggle-101", "kernel_id": "570139"}, {"ref": "ibrahimkb/notebook4b52405735", "kernel_id": "233188"}, {"ref": "mkraeva/notebook960d4a5067", "kernel_id": "240823"}, {"ref": "mkraeva/notebookd46a9679e0", "kernel_id": "240828"}, {"ref": "izamanov/notebook1764b66916", "kernel_id": "233224"}, {"ref": "taejunsong/notebook4f7ce2fa59", "kernel_id": "233234"}, {"ref": "lukasz44/notebooke029a2dc24", "kernel_id": "233241"}, {"ref": "jiayang/titaniclearningqi-396b07", "kernel_id": "241249"}, {"ref": "nederlof/notebookb2264474e4", "kernel_id": "233250"}, {"ref": "nederlof/titanic-data-science-solutions", "kernel_id": "233254"}, {"ref": "hamid17/train-test-titanic", "kernel_id": "233268"}, {"ref": "carrot1502/notebook434e3f258d", "kernel_id": "233255"}, {"ref": "tnbrendan/notebook3602c77192", "kernel_id": "233287"}, {"ref": "amkissler01/notebookb9276cd2e4", "kernel_id": "233374"}, {"ref": "ohmygauss/notebook80f167f7ec", "kernel_id": "244308"}, {"ref": "fjlf1983/notebook4f817dd6f9", "kernel_id": "233375"}, {"ref": "fjlf1983/notebookbf0d916f0c", "kernel_id": "233884"}, {"ref": "pliptor/r-titanic", "kernel_id": "233546"}, {"ref": "pliptor/optimal-titanic-for-gender-only-0-7655", "kernel_id": "240928"}, {"ref": "pliptor/gp-rng-stability", "kernel_id": "251815"}, {"ref": "pliptor/a-simple-genetic-programming-0-79426", "kernel_id": "251267"}, {"ref": "pliptor/divide-and-conquer-0-82296", "kernel_id": "275383"}, {"ref": "pliptor/optimal-titanic-for-pclass-only-0-65550", "kernel_id": "253678"}, {"ref": "pliptor/how-am-i-doing-with-my-score", "kernel_id": "343807"}, {"ref": "pliptor/name-only-study-with-interactive-3d-plot", "kernel_id": "627439"}, {"ref": "pliptor/titanic-in-python-svm", "kernel_id": "758989"}, {"ref": "pliptor/titanic-ticket-only-study", "kernel_id": "748999"}, {"ref": "pliptor/minimalistic-titanic-in-python-lightgbm", "kernel_id": "713863"}, {"ref": "pliptor/minimalistic-xgb", "kernel_id": "702742"}, {"ref": "pliptor/strategies-for-estimating-a-model-performance", "kernel_id": "681664"}, {"ref": "solaris33/kaggle-titanic-001", "kernel_id": "233474"}, {"ref": "wch724/my-first-journey-on-titanic", "kernel_id": "366814"}, {"ref": "weishyi/titanic-analysis", "kernel_id": "239480"}, {"ref": "weishyi/titanic", "kernel_id": "236235"}, {"ref": "publius/notebooka275580844", "kernel_id": "243071"}, {"ref": "cssd1983/notebook06b8468572", "kernel_id": "245976"}, {"ref": "birdbrain/notebooke0e9d7f21e", "kernel_id": "233482"}, {"ref": "kuzo215/notebook72ff1ef013", "kernel_id": "268067"}, {"ref": "rohit04/titanic-problem", "kernel_id": "233524"}, {"ref": "rallenkov/notebookd9d5eb944a", "kernel_id": "233576"}, {"ref": "rallenkov/notebookf88087fb16", "kernel_id": "243821"}, {"ref": "ryanferdinand/notebookaa5b50bae8", "kernel_id": "279423"}, {"ref": "hanzoo/notebookd4e5586556", "kernel_id": "243676"}, {"ref": "sachinpatel/titanic-disaster", "kernel_id": "264583"}, {"ref": "puettmann/notebook8ec77de86d", "kernel_id": "233641"}, {"ref": "etotheipi1/title", "kernel_id": "233605"}, {"ref": "beck0505/notebook9d98b86b87", "kernel_id": "233613"}, {"ref": "mukeshi/titanic-data-science-solutions", "kernel_id": "233659"}, {"ref": "neokarn/titanic-01", "kernel_id": "233651"}, {"ref": "nattster/notebookad15f78b2f", "kernel_id": "233701"}, {"ref": "merwanehamadi/script1", "kernel_id": "233706"}, {"ref": "merwanehamadi/script-titanic", "kernel_id": "233873"}, {"ref": "merwanehamadi/titanic-data-science-solutions-284f5f", "kernel_id": "234464"}, {"ref": "sonack/notebookdc106d15e6", "kernel_id": "233735"}, {"ref": "nima732/notebook15f8ed1ca0", "kernel_id": "233772"}, {"ref": "nima732/notebook9c408b824d", "kernel_id": "233775"}, {"ref": "sandrabc/notebook3595f7989e", "kernel_id": "233779"}, {"ref": "tymatfd/notebookd6460eae1c", "kernel_id": "274282"}, {"ref": "tymatfd/notebookaa574e184d", "kernel_id": "274223"}, {"ref": "tb7554/notebook9ff656c02d", "kernel_id": "233886"}, {"ref": "tb7554/titantic-tim", "kernel_id": "233903"}, {"ref": "jiachenghuang/notebookfa81cd37a6", "kernel_id": "234410"}, {"ref": "kguillemot909/kg-titanic", "kernel_id": "240667"}, {"ref": "easyac/notebookc95ead44c2", "kernel_id": "233877"}, {"ref": "emmanuel1989/titanic-practise-1", "kernel_id": "248453"}, {"ref": "janousekaa/notebook793013b5a7", "kernel_id": "233861"}, {"ref": "kayluu/notebook625bd045cc", "kernel_id": "233855"}, {"ref": "ericchung/notebook2b7d7eed9c", "kernel_id": "234181"}, {"ref": "gbonesso/titanic-keras-nn-classifier", "kernel_id": "278008"}, {"ref": "capsjosh/setting-sail-with-titanic", "kernel_id": "245912"}, {"ref": "injune/notebook9bd6840674", "kernel_id": "234276"}, {"ref": "shamusc/shim-titanic", "kernel_id": "233967"}, {"ref": "neilturner/notebook2781b9deb7", "kernel_id": "234006"}, {"ref": "psielie/notebook2963578002", "kernel_id": "236695"}, {"ref": "prakkhar/survival-prediction-using-decision-tree", "kernel_id": "262377"}, {"ref": "ashwinmvs/notebook75279df2fe", "kernel_id": "241745"}, {"ref": "ksauln/titanic", "kernel_id": "237637"}, {"ref": "portaluser/titanic-learning", "kernel_id": "234051"}, {"ref": "srishtiarora93/visualizing-data", "kernel_id": "234141"}, {"ref": "defeatnelly/notebook0f5c4c678b", "kernel_id": "236009"}, {"ref": "tntwilliam/notebookc110e3fad7", "kernel_id": "234077"}, {"ref": "tntwilliam/testone", "kernel_id": "234083"}, {"ref": "khooks/notebook417f146e7c", "kernel_id": "234104"}, {"ref": "pureday13/my-titanic-notebook", "kernel_id": "237682"}, {"ref": "thomasl415/notebook09592cfa13", "kernel_id": "234142"}, {"ref": "hollyho/notebook47be9a5bf6", "kernel_id": "234160"}, {"ref": "py2016/an-interactive-data-science-tutorial-e37f27", "kernel_id": "234178"}, {"ref": "py2016/who-all-survived-the-titanic", "kernel_id": "234702"}, {"ref": "py2016/tensorflow", "kernel_id": "235214"}, {"ref": "py2016/a-journey-through-titanic", "kernel_id": "235827"}, {"ref": "xtchen1992/an-interactive-data-science-tutorial", "kernel_id": "239640"}, {"ref": "diamond86/notebook13f1926d15", "kernel_id": "238602"}, {"ref": "w415146142/try-again-titanic-survival-set-more-features", "kernel_id": "245630"}, {"ref": "w415146142/notebook2a3099a77e", "kernel_id": "244154"}, {"ref": "zymous09/a-copy-from-tutorial", "kernel_id": "268740"}, {"ref": "zymous09/notebook83b22990d9", "kernel_id": "268969"}, {"ref": "zymous09/learn-by-doing", "kernel_id": "274131"}, {"ref": "ahmedossama/notebook9566c37480", "kernel_id": "234230"}, {"ref": "sanghyeonyi/notebooke289baa61d", "kernel_id": "234293"}, {"ref": "toshikiharada/notebookba10a6f574", "kernel_id": "236161"}, {"ref": "chenqiankm/notebook8b06c6e5cc", "kernel_id": "277282"}, {"ref": "michaeljcoffey/notebook6b8719b4e7", "kernel_id": "234686"}, {"ref": "nasdaqhe/notebookabf4270d54", "kernel_id": "239555"}, {"ref": "nasdaqhe/notebookd0c266e706", "kernel_id": "239546"}, {"ref": "nasdaqhe/notebook8c9c8a5096", "kernel_id": "240317"}, {"ref": "hlzw93/notebookf753676188", "kernel_id": "234500"}, {"ref": "yobraveyo/notebookb6ae083b10", "kernel_id": "234365"}, {"ref": "yobraveyo/notebook0861e51222", "kernel_id": "234366"}, {"ref": "venky2402/notebook16d49542ba", "kernel_id": "234356"}, {"ref": "rdj123/save-the-titanic", "kernel_id": "234384"}, {"ref": "maoqyhz/notebook849c90f9f4", "kernel_id": "234403"}, {"ref": "maoqyhz/test-basic", "kernel_id": "234388"}, {"ref": "ramjikishore/notebook8e7137c1c4", "kernel_id": "234443"}, {"ref": "jakeandbake/titanic", "kernel_id": "240034"}, {"ref": "hatimstovewala/notebook2771713905", "kernel_id": "234431"}, {"ref": "dineshary/titanic", "kernel_id": "257157"}, {"ref": "dineshary/exploring-survival-on-the-titanic", "kernel_id": "253029"}, {"ref": "trumptheblobfish/johncena", "kernel_id": "234532"}, {"ref": "vempaliakhil96/notebook832f78724a", "kernel_id": "236487"}, {"ref": "dilshanwn/notebook8b3790cf1f", "kernel_id": "267900"}, {"ref": "legendof302/notebookc01e745d66", "kernel_id": "234470"}, {"ref": "charlesku77/asdasd", "kernel_id": "235024"}, {"ref": "eivann/my-first-kaggle-notebook-titanic", "kernel_id": "242980"}, {"ref": "eivann/titanic-data-science-solutions-test", "kernel_id": "242982"}, {"ref": "nehabhushanyahoo/titanic-notebook", "kernel_id": "871212"}, {"ref": "stevencahill/titanic-machine-learning-from-disaster", "kernel_id": "242955"}, {"ref": "rajatahuja/notebook540be30b1b", "kernel_id": "261466"}, {"ref": "rajatahuja/notebookd225e10728", "kernel_id": "261467"}, {"ref": "ochaas/notebook90fcf6d403", "kernel_id": "243436"}, {"ref": "matveich19/qqqqqqq", "kernel_id": "238828"}, {"ref": "matveich19/does-titanic-dream-of-underwater-memes", "kernel_id": "238832"}, {"ref": "pranshumaan/notebookae970f8138", "kernel_id": "235225"}, {"ref": "snaray12/notebookf30aa53195", "kernel_id": "244611"}, {"ref": "tkelly5/notebookd9b9de2e94", "kernel_id": "234689"}, {"ref": "schnkhl/notebook1ed03fc5bd", "kernel_id": "241562"}, {"ref": "myvalidator/titanic-test", "kernel_id": "267376"}, {"ref": "prabvarma/titanic-data-science-solutions", "kernel_id": "234799"}, {"ref": "cliveyip/notebook9f44ce2641", "kernel_id": "234822"}, {"ref": "cliveyip/clive-titanic", "kernel_id": "234823"}, {"ref": "mnizol/notebookc76db37c40", "kernel_id": "234824"}, {"ref": "giraffeyang/notebookdd83f95342", "kernel_id": "234885"}, {"ref": "jmkacz/notebookcd7aa95505", "kernel_id": "235431"}, {"ref": "prasadd/firsttry", "kernel_id": "234909"}, {"ref": "trangel/notebook9893d00f7d", "kernel_id": "234944"}, {"ref": "lijinsr/eda-using-functional-programming", "kernel_id": "342223"}, {"ref": "hiteshsai/using-decision-tree-and-random-forest", "kernel_id": "297283"}, {"ref": "hiteshsai/notebookabe6a47506", "kernel_id": "297079"}, {"ref": "kartikkulkarni/titanic-data-science-solutions-1460bc", "kernel_id": "235722"}, {"ref": "yourturn/try-the-kaggle-first-time", "kernel_id": "234985"}, {"ref": "calman/introduction-to-ensembling-stacking-in-python", "kernel_id": "235695"}, {"ref": "calman/an-interactive-data-science-tutorial-fork", "kernel_id": "235700"}, {"ref": "xuanxuanwen/an-interactive-data-science-tutorial", "kernel_id": "235116"}, {"ref": "murali146/notebook67d50d8a26", "kernel_id": "235058"}, {"ref": "abhibisht89/pytanic-for-learning", "kernel_id": "262151"}, {"ref": "andymos66/notebookda7559fbe0", "kernel_id": "235071"}, {"ref": "jcrosbie/titanic-survival-predictions", "kernel_id": "423894"}, {"ref": "thibautmontes/notebookc6780b844e", "kernel_id": "235093"}, {"ref": "thibautmontes/notebook7971510a50", "kernel_id": "235094"}, {"ref": "takeshi0122/notebook196ca88802", "kernel_id": "235096"}, {"ref": "chengl/notebook689e4ed8ca", "kernel_id": "236111"}, {"ref": "cjd298/notebookfa76c0b62f", "kernel_id": "235154"}, {"ref": "griffinh/titanic-data-science-solutions-547b6e", "kernel_id": "237804"}, {"ref": "misenholt/notebook9ae4023e88", "kernel_id": "235175"}, {"ref": "ariccjme/an-interactive-data-science-tutorial", "kernel_id": "262482"}, {"ref": "ariccjme/titanic-data-science-solutions-f9a4d7", "kernel_id": "261392"}, {"ref": "stevenhu/test-python", "kernel_id": "235171"}, {"ref": "harshalp/predict-survival-on-the-titanic-using-python", "kernel_id": "567910"}, {"ref": "ayeletperes/notebook710d09ede8", "kernel_id": "235194"}, {"ref": "ayeletperes/notebook40a55ce378", "kernel_id": "235199"}, {"ref": "najeebagra/learn-sklern-with-titanic", "kernel_id": "265537"}, {"ref": "fragga/notebookcc6e699bb5", "kernel_id": "235389"}, {"ref": "shubhamghosal95/notebooka2ae23bb02", "kernel_id": "276816"}, {"ref": "greenpea/greenpea-titanic", "kernel_id": "235443"}, {"ref": "greenpea/notebook76bf6c26ad", "kernel_id": "235448"}, {"ref": "neshkeev/notebookbcc5aa85d7", "kernel_id": "240909"}, {"ref": "huanglei/notebook09c70c4252", "kernel_id": "236907"}, {"ref": "frmadem/notebook6866410173", "kernel_id": "235544"}, {"ref": "frmadem/notebook156ad57ea5", "kernel_id": "235558"}, {"ref": "pengshizhe/notebook97b8e99739", "kernel_id": "235572"}, {"ref": "huanghufuyou/notebook8983b47585", "kernel_id": "235608"}, {"ref": "akshitgoel/notebook808926278a", "kernel_id": "235650"}, {"ref": "akshitgoel/test1", "kernel_id": "235652"}, {"ref": "zxiaohan/titanic-notebook", "kernel_id": "267976"}, {"ref": "zxiaohan/notebook7264ded252", "kernel_id": "267067"}, {"ref": "wei10117/titanic-machine-learning-from-disaster", "kernel_id": "235746"}, {"ref": "ravi2809/notebookea7e48a726", "kernel_id": "253809"}, {"ref": "paulinecorblet/notebooke543a41af2", "kernel_id": "235759"}, {"ref": "swenson0928/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "235766"}, {"ref": "qizhou0/a-journey-through-titanic", "kernel_id": "235778"}, {"ref": "pcarrillo113/under-going", "kernel_id": "235789"}, {"ref": "anushaatkaggle/titanic-code-attempt1", "kernel_id": "235793"}, {"ref": "vineetjain/notebook5b261f53f0", "kernel_id": "235829"}, {"ref": "blitz2857/exploring-survival-on-the-titanic", "kernel_id": "264306"}, {"ref": "blitz2857/an-interactive-data-science-tutorial", "kernel_id": "266418"}, {"ref": "blitz2857/titanic-data-science-solutions-f70967", "kernel_id": "265787"}, {"ref": "viivhz/notebook54a81934bd", "kernel_id": "235848"}, {"ref": "davidwasson/notebook4d4db69fa1", "kernel_id": "235910"}, {"ref": "chronius/titanic", "kernel_id": "235906"}, {"ref": "mysteriane/notebookeba24def56", "kernel_id": "235892"}, {"ref": "mysteriane/titan", "kernel_id": "236383"}, {"ref": "lucasdmoyer/notebook900ae3a6fe", "kernel_id": "253936"}, {"ref": "andrewstepanov/notebook9b067b37d0", "kernel_id": "235938"}, {"ref": "forgottenfuture/my-first-notebook", "kernel_id": "235979"}, {"ref": "kaslan/notebook168303a4aa", "kernel_id": "236007"}, {"ref": "kaslan/notebook521a25bcdc", "kernel_id": "238474"}, {"ref": "zerin5577/notebook234a6a6b38", "kernel_id": "236236"}, {"ref": "adamschroeder/titanic-l-regression-knn-confusion-matrix", "kernel_id": "388670"}, {"ref": "madthing50/notebookd7f8693cda", "kernel_id": "236076"}, {"ref": "mathieuclerici/notebook280cf3a09c", "kernel_id": "237509"}, {"ref": "dianereynolds/titanic-neural-net-v01", "kernel_id": "236104"}, {"ref": "dianereynolds/fork-of-titanic-neural-net-v01", "kernel_id": "240989"}, {"ref": "liguangwei/notebook2a1038996e", "kernel_id": "236149"}, {"ref": "wswong2/notebook7b2af82149", "kernel_id": "237121"}, {"ref": "archanasm/notebookbcb09afaa4", "kernel_id": "245267"}, {"ref": "citybuster/an-interactive-data-science-tutorial-3f563b", "kernel_id": "238167"}, {"ref": "citybuster/an-interactive-data-science-tutorial-7db620", "kernel_id": "238223"}, {"ref": "svijaysurya/notebook2e7b7ff8b8", "kernel_id": "236292"}, {"ref": "alejandrogarcia/titanic-data-science-solutions", "kernel_id": "236222"}, {"ref": "jjo4cob/notebook53ff3ba029", "kernel_id": "237196"}, {"ref": "xujiahua/notebook6cdf6803c8", "kernel_id": "239495"}, {"ref": "whxinoue/notebook8beb51d1da", "kernel_id": "236253"}, {"ref": "sikaih/notebook6a2e427cf1", "kernel_id": "245149"}, {"ref": "rita9596/test1", "kernel_id": "245510"}, {"ref": "gahou666/titanic", "kernel_id": "236312"}, {"ref": "alianse77/feedforward-network-two-tanh-and-sigmoid-layers", "kernel_id": "237114"}, {"ref": "blackgrass/titanic-data-science-solutions", "kernel_id": "236363"}, {"ref": "siking/titanic-data-science-solutions-564fc5", "kernel_id": "236381"}, {"ref": "raymondlee2333/notebook1b131f3cb4", "kernel_id": "237969"}, {"ref": "stephaniestallworth/titanic-eda-classification-end-to-end", "kernel_id": "336738"}, {"ref": "raghavsardana/an-interactive-data-science-tutorial-15eb68", "kernel_id": "237962"}, {"ref": "raghavsardana/titanic", "kernel_id": "238062"}, {"ref": "matansht/titanic-data-science-solutions", "kernel_id": "236510"}, {"ref": "hanmwmw/notebook4a9ece46d7", "kernel_id": "236513"}, {"ref": "rangertexas/titanic", "kernel_id": "236500"}, {"ref": "rangertexas/notebook8715cb0c5a", "kernel_id": "236636"}, {"ref": "yvasilyev/notebook48c8eda12b", "kernel_id": "236535"}, {"ref": "vcaldas/titanic-machine-learning-from-disaster", "kernel_id": "236553"}, {"ref": "vcaldas/notebooka45a8f0f51", "kernel_id": "236571"}, {"ref": "vcaldas/titanic-machine-learning-from-disaster-vcaldas", "kernel_id": "236574"}, {"ref": "edutormos/titanic", "kernel_id": "236557"}, {"ref": "andzia/titanic-py", "kernel_id": "236604"}, {"ref": "math2x2/titanic-data-science-solutions-3766d1", "kernel_id": "236614"}, {"ref": "mannharleen/notebook3325908da9", "kernel_id": "270422"}, {"ref": "rflprr/notebookf3f8b2be80", "kernel_id": "236685"}, {"ref": "qreich/notebook88e989d48a", "kernel_id": "236999"}, {"ref": "mihirmistry/notebooka2ca5cfa84", "kernel_id": "248664"}, {"ref": "jenshahn/notebook50260c8810", "kernel_id": "236790"}, {"ref": "tonymtl/notebook90f6b85549", "kernel_id": "236851"}, {"ref": "fbucci1/ffff-titanic", "kernel_id": "244920"}, {"ref": "janeshgupta/notebookccc9a81f8f", "kernel_id": "236871"}, {"ref": "enforser/notebook6379c9f22f", "kernel_id": "236919"}, {"ref": "coreyconner/notebookd831287c33", "kernel_id": "239532"}, {"ref": "cgnicky/notebook993a84fcd7", "kernel_id": "236959"}, {"ref": "superkyle/notebook26205f7287", "kernel_id": "237074"}, {"ref": "tahisto/titanic-data-science-solutions-b91dd8", "kernel_id": "237238"}, {"ref": "roydcarlson/notebook7df0265424", "kernel_id": "243426"}, {"ref": "chiaroscuro/titanic-eda", "kernel_id": "342709"}, {"ref": "ananthvikram/logistic-regression-dt-rf-nb-for-titanic", "kernel_id": "937182"}, {"ref": "paladin123/notebookeab19d3514", "kernel_id": "239051"}, {"ref": "ameybaviskar/notebook3c2c68273c", "kernel_id": "238729"}, {"ref": "zchflyer/notebook3848a84fa2", "kernel_id": "238993"}, {"ref": "dipanjan0904/notebook95c4996804", "kernel_id": "237178"}, {"ref": "kbx1025/notebook0f31c671d9", "kernel_id": "237812"}, {"ref": "kbx1025/titanic", "kernel_id": "237813"}, {"ref": "ozawatt/notebookabab79d535", "kernel_id": "237247"}, {"ref": "yours12/notebookf5ae1ac615", "kernel_id": "258183"}, {"ref": "ishbhms/notebook2915b1d51f", "kernel_id": "237250"}, {"ref": "ishbhms/predicting-survival-on-titanic-using-ml", "kernel_id": "237253"}, {"ref": "ishbhms/notebook85d27d6b49", "kernel_id": "237256"}, {"ref": "schinkikami/notebookbf9ac0fa90", "kernel_id": "239923"}, {"ref": "deichastronaut/notebookfacf8cf214", "kernel_id": "238478"}, {"ref": "tadili/notebooke196e492c6", "kernel_id": "238909"}, {"ref": "tadili/notebookaf60e90a25", "kernel_id": "244643"}, {"ref": "attilaviniczai/notebookefd92489e9", "kernel_id": "238099"}, {"ref": "andreysurovtsev/liana-titanic-fe", "kernel_id": "435960"}, {"ref": "chengge/titanic-data-science-solutions-081386", "kernel_id": "238059"}, {"ref": "zbasper/test-for-titanic", "kernel_id": "238108"}, {"ref": "hsuvarna/titanic-trials", "kernel_id": "264362"}, {"ref": "nishantsingh132/mydatascience", "kernel_id": "259458"}, {"ref": "zhonglu/notebook75abd918b6", "kernel_id": "237520"}, {"ref": "kevinwang101/notebookf53f09631e", "kernel_id": "238300"}, {"ref": "ginniehhjy/notebook62610622a7", "kernel_id": "237848"}, {"ref": "metron8/notebookd9f8b517fb", "kernel_id": "237556"}, {"ref": "fernandocanelas/notebook5062d3a877", "kernel_id": "237566"}, {"ref": "helloklima/notebook18d74feba8", "kernel_id": "248117"}, {"ref": "helloklima/titanic-marvin", "kernel_id": "248121"}, {"ref": "helloklima/notebook69446cdfd5", "kernel_id": "248122"}, {"ref": "reddd1k/notebookdf5b09b7fb", "kernel_id": "246868"}, {"ref": "reddd1k/notebookfd4a36a234", "kernel_id": "246869"}, {"ref": "zethy33/notebook61f81a2919", "kernel_id": "237581"}, {"ref": "raviksharma/notebook106d6838a3", "kernel_id": "240741"}, {"ref": "almusic/example-of-logistic-regression-on-titanic-d-385b10", "kernel_id": "244317"}, {"ref": "leclem/notebook4707a33f39", "kernel_id": "237740"}, {"ref": "leclem/notebook002a508ef6", "kernel_id": "237730"}, {"ref": "leclem/notebookb69dc41dc7", "kernel_id": "238397"}, {"ref": "lilingqhd/notebookb5cfeca158", "kernel_id": "241785"}, {"ref": "bbeck410/titanic-tutorial", "kernel_id": "237780"}, {"ref": "pbierman/notebook6eef7a98fa", "kernel_id": "237633"}, {"ref": "billmcn/the-art-of-data-science-a-titanic-tutorial", "kernel_id": "251839"}, {"ref": "chaskyhoffmann/notebooke777e07eb4", "kernel_id": "243706"}, {"ref": "vinicarlos56/notebook7dddf354fc", "kernel_id": "237698"}, {"ref": "buzzolord/kappavoid-testing", "kernel_id": "244286"}, {"ref": "jinhokim79/notebookc7f91f363e", "kernel_id": "237725"}, {"ref": "jinhokim79/titanic-data-science-solutions", "kernel_id": "237728"}, {"ref": "jinhokim79/notebook5046b7037d", "kernel_id": "238384"}, {"ref": "jinhokim79/notebook0509bddde0", "kernel_id": "238387"}, {"ref": "jinhokim79/notebookacb28ff29a", "kernel_id": "238391"}, {"ref": "dennishyang/notebook8d2829f8b3", "kernel_id": "237739"}, {"ref": "gtobben/titanic", "kernel_id": "237750"}, {"ref": "sforsyth6/titanic", "kernel_id": "237775"}, {"ref": "derekxu/titanic-data-science-solutions", "kernel_id": "246687"}, {"ref": "pormars/notebook3ba3be3cb0", "kernel_id": "239827"}, {"ref": "pormars/hello-titanic", "kernel_id": "239829"}, {"ref": "pormars/notebook6e2458ee18", "kernel_id": "239846"}, {"ref": "jcipar/notebookfd5c68e02c", "kernel_id": "239463"}, {"ref": "evapopova/notebook2967880dbc", "kernel_id": "248997"}, {"ref": "evapopova/notebook4f30c926d6", "kernel_id": "251201"}, {"ref": "evapopova/titanic-dataset", "kernel_id": "249776"}, {"ref": "fayeful/notebook0cbc63dd82", "kernel_id": "237970"}, {"ref": "vishket/mytest", "kernel_id": "237924"}, {"ref": "girlfriends/a-journey-through-titanic", "kernel_id": "238819"}, {"ref": "zj040045/notebook975e70a0c1", "kernel_id": "237953"}, {"ref": "zj040045/titanic", "kernel_id": "238025"}, {"ref": "dheerajp/machine-learning-from-disaster", "kernel_id": "237998"}, {"ref": "statsuser/my-first-go-at-kaggle", "kernel_id": "238075"}, {"ref": "therookie/notebooka5f95af76f", "kernel_id": "275150"}, {"ref": "cptnir/titanic-first-project", "kernel_id": "245431"}, {"ref": "e78314/tensor-flow", "kernel_id": "238725"}, {"ref": "e78314/titanic-test", "kernel_id": "238113"}, {"ref": "e78314/test0419", "kernel_id": "238259"}, {"ref": "haylmg/titanic-is-back-in-r", "kernel_id": "354499"}, {"ref": "haylmg/predicting-repayment-of-education-loans", "kernel_id": "428734"}, {"ref": "msaiganesh/kaggler", "kernel_id": "238329"}, {"ref": "msaiganesh/notebook33cb8d0e48", "kernel_id": "238332"}, {"ref": "shipeihg/notebookb4fe9ba98f", "kernel_id": "238623"}, {"ref": "shipeihg/notebook6d64843017", "kernel_id": "238626"}, {"ref": "cendywang/notebook69eec8834d", "kernel_id": "239137"}, {"ref": "aravindramesh/an-interactive-data-science-tutorial", "kernel_id": "238780"}, {"ref": "kevinqian/test-titanic", "kernel_id": "252181"}, {"ref": "kevinqian/titanic", "kernel_id": "238199"}, {"ref": "kevinqian/notebook0d69cb377f", "kernel_id": "238192"}, {"ref": "brightpixels/notebooka9948c2f75", "kernel_id": "238524"}, {"ref": "brightpixels/notebookdf761c7a28", "kernel_id": "238531"}, {"ref": "deepak25/titanic-problem-dky", "kernel_id": "238214"}, {"ref": "deepak25/titanic-problem", "kernel_id": "238206"}, {"ref": "tonybh2014/titanic-data-science-solutions", "kernel_id": "247942"}, {"ref": "tsedwards17/titanic-py", "kernel_id": "238488"}, {"ref": "tsedwards17/titanic-data-science-solutions", "kernel_id": "238496"}, {"ref": "xuchi16/notebookd1d881b45b", "kernel_id": "241939"}, {"ref": "ndesign/notebookaef2e790a5", "kernel_id": "238275"}, {"ref": "zhbain/fall-in-titanic", "kernel_id": "302787"}, {"ref": "abdylan/notebook067a54a9d7", "kernel_id": "244561"}, {"ref": "soseidell/titanic-v01", "kernel_id": "238348"}, {"ref": "hakano/testo", "kernel_id": "238355"}, {"ref": "alanlash/titanic-data-science-solutions", "kernel_id": "238410"}, {"ref": "dmtgroup073/datatitanic", "kernel_id": "238617"}, {"ref": "noagarcia/test1", "kernel_id": "239169"}, {"ref": "patrickhyland/an-interactive-data-science-tutorial", "kernel_id": "238416"}, {"ref": "cmdavis4/hello-world", "kernel_id": "238408"}, {"ref": "kinglayton/an-interactive-data-science-tutorial", "kernel_id": "238415"}, {"ref": "sdaoffate/notebooke88efc15ef", "kernel_id": "238785"}, {"ref": "sdaoffate/titanic-data-science-solutions1", "kernel_id": "238786"}, {"ref": "cdurrans/notebook43c40ee00b", "kernel_id": "245226"}, {"ref": "youngb/notebook5aaa762639", "kernel_id": "239010"}, {"ref": "youngb/title123", "kernel_id": "239013"}, {"ref": "youngb/a-journey-through-titanic", "kernel_id": "241234"}, {"ref": "chenkai036/notebookfe19c31da5", "kernel_id": "247806"}, {"ref": "rajivpoc/titanic-data-science-solutions", "kernel_id": "238512"}, {"ref": "josiebailey/titanic-practice", "kernel_id": "264274"}, {"ref": "ssturlis/titanic-test-notebook", "kernel_id": "238526"}, {"ref": "martinberger/scikit-learn-ml-from-start-to-finish", "kernel_id": "240747"}, {"ref": "chinaboeller/the-titanic", "kernel_id": "238896"}, {"ref": "dellvo/notebook7c6c13cb51", "kernel_id": "239990"}, {"ref": "stephanievabre/notebookd79ea60727", "kernel_id": "238666"}, {"ref": "pkeechan/notebookb38b093c7b", "kernel_id": "238652"}, {"ref": "danieldebela/notebook1fe345f2f7", "kernel_id": "254084"}, {"ref": "samratp/titanic-with-stacking-voting-pseudo-labeling", "kernel_id": "554028"}, {"ref": "samratp/beginner-tutorial-using-votingclassifier-82-27", "kernel_id": "305133"}, {"ref": "darshandevil/notebook8c2b1d9169", "kernel_id": "239904"}, {"ref": "abhiram3040/titanic", "kernel_id": "240295"}, {"ref": "abhiram3040/titanicfirst", "kernel_id": "241067"}, {"ref": "gzevga/notebook5ceb2623ed", "kernel_id": "238805"}, {"ref": "gzevga/yutit-1", "kernel_id": "239813"}, {"ref": "harleyxvi/bhatia-testing-titanic", "kernel_id": "238884"}, {"ref": "kunald216/titanic", "kernel_id": "238833"}, {"ref": "tatson23333/notebook41ace47973", "kernel_id": "238807"}, {"ref": "danielhung/titanic-prediction", "kernel_id": "238815"}, {"ref": "betabernie/notebookdf070d39ca", "kernel_id": "238840"}, {"ref": "wenhaoliao/titanic-machine-learning-from-disaster", "kernel_id": "243808"}, {"ref": "tobbedann/notebook5d1ffd0d02", "kernel_id": "242038"}, {"ref": "gsh199449/notebook7f25a70530", "kernel_id": "238942"}, {"ref": "scout16/titanic-disaster-in-r", "kernel_id": "238981"}, {"ref": "li907880/notebooke99eb34589", "kernel_id": "239074"}, {"ref": "darkkitsune/notebookafec13da86", "kernel_id": "239149"}, {"ref": "fabtrompet/titanic-with-gradientboostingclassifier", "kernel_id": "255742"}, {"ref": "wwwjoecomcn/notebookceef336496", "kernel_id": "243024"}, {"ref": "wwwjoecomcn/titanic-machine-learning-from-disaster", "kernel_id": "242965"}, {"ref": "fahouma/exploring-survival-on-the-titanic", "kernel_id": "246792"}, {"ref": "jbrunsell/notebook247569bd88", "kernel_id": "239997"}, {"ref": "jbrunsell/notebook933c8dae31", "kernel_id": "240061"}, {"ref": "bartoszbabinski/notebook85db45f7ca", "kernel_id": "239229"}, {"ref": "bartoszbabinski/notebooka742921079", "kernel_id": "239206"}, {"ref": "mthom031/finalproject", "kernel_id": "242271"}, {"ref": "mthom031/final-project", "kernel_id": "242304"}, {"ref": "mthom031/test1", "kernel_id": "239122"}, {"ref": "mthom031/notebookf93c38a915", "kernel_id": "239119"}, {"ref": "xijunli/my-titanic", "kernel_id": "239613"}, {"ref": "aravindh1991/notebook885ecfe00b", "kernel_id": "239327"}, {"ref": "aravindh1991/notebooka84d46484f", "kernel_id": "239329"}, {"ref": "vidolf/train-py", "kernel_id": "241221"}, {"ref": "yaoyong1/notebook157c811a22", "kernel_id": "239193"}, {"ref": "yongyangds/start-with-titanic", "kernel_id": "242482"}, {"ref": "sidbhargava/notebook938f79d2bf", "kernel_id": "239304"}, {"ref": "sidbhargava/titanic-test", "kernel_id": "239305"}, {"ref": "yifengwu/notebook7d78adc19e", "kernel_id": "239208"}, {"ref": "yifengwu/first-trial-svm", "kernel_id": "364211"}, {"ref": "dietrich/notebook57ae4c10a4", "kernel_id": "239347"}, {"ref": "douglasjr1985/titanic-machine-learning-from-disaster-b5c603", "kernel_id": "242246"}, {"ref": "drewatx/notebookb4b032b211", "kernel_id": "239326"}, {"ref": "troddy/notebookad738fb192", "kernel_id": "239848"}, {"ref": "jaidymaster/notebook4b4151f305", "kernel_id": "239397"}, {"ref": "jaidymaster/notebookb15e77f540", "kernel_id": "239403"}, {"ref": "havengoer/notebook6aa8b788d7", "kernel_id": "242536"}, {"ref": "jamesb007/notebook56b2d7c69d", "kernel_id": "239399"}, {"ref": "jamesb007/notebookb2664afbe9", "kernel_id": "239393"}, {"ref": "fantasyzwj/test1", "kernel_id": "240280"}, {"ref": "dipakmajhi/notebookab5ee97c18", "kernel_id": "246256"}, {"ref": "cxxacxx/notebookbbcb073e10", "kernel_id": "239835"}, {"ref": "cxxacxx/notebook4ecdd780a9", "kernel_id": "257728"}, {"ref": "rogerlu0/thefirstkernelfortest", "kernel_id": "240104"}, {"ref": "blevitt/b-test", "kernel_id": "239557"}, {"ref": "blevitt/b-test-script", "kernel_id": "239568"}, {"ref": "yfan094/notebook8f0464d917", "kernel_id": "239580"}, {"ref": "ashimexo/ashim", "kernel_id": "255077"}, {"ref": "songwen/titanic", "kernel_id": "239600"}, {"ref": "hcschmitz/notebook7d6982ee42", "kernel_id": "239758"}, {"ref": "fredol/notebook75b08deb1b", "kernel_id": "241681"}, {"ref": "kincheung/notebookb62ac560c3", "kernel_id": "239685"}, {"ref": "gauss102/notebook7d60376eea", "kernel_id": "241609"}, {"ref": "gauss102/titanic-test", "kernel_id": "241485"}, {"ref": "gauss102/test-titanic", "kernel_id": "241483"}, {"ref": "gauss102/notebooka9b7f0449c", "kernel_id": "245243"}, {"ref": "gauss102/titanic-newest", "kernel_id": "309411"}, {"ref": "hermannkn237/notebook0fa9203461", "kernel_id": "239782"}, {"ref": "hermannkn237/titanic-survivor", "kernel_id": "239728"}, {"ref": "hermannkn237/notebook600cfb2e26", "kernel_id": "239872"}, {"ref": "saeedbibak/notebooke32ce5a525", "kernel_id": "239804"}, {"ref": "niogge/notebookfd2b79ea10", "kernel_id": "239776"}, {"ref": "gairaula9/notebookf71384b808", "kernel_id": "239838"}, {"ref": "andysu0216/titanic-data-science-solutions", "kernel_id": "261948"}, {"ref": "sharmi91la/notebook7f095ab409", "kernel_id": "242094"}, {"ref": "sharmi91la/notebookad515563a1", "kernel_id": "242368"}, {"ref": "cesarcolle/notebook77171e7269", "kernel_id": "239809"}, {"ref": "cesarcolle/notebookda31e94283", "kernel_id": "239784"}, {"ref": "seniorxachi/notebooke92258fe0b", "kernel_id": "262865"}, {"ref": "seniorxachi/notebook764ef120dc", "kernel_id": "262855"}, {"ref": "seniorxachi/notebookdfd3a33051", "kernel_id": "266367"}, {"ref": "mohsun/precision-recall-and-accuracy-titanic-dataset", "kernel_id": "596550"}, {"ref": "sunilmite/notebook6f6ef3f145", "kernel_id": "242685"}, {"ref": "sunilmite/testtitanic", "kernel_id": "242686"}, {"ref": "sunilmite/notebooke7990de7b3", "kernel_id": "241944"}, {"ref": "sunilmite/titanic-sample-analysis", "kernel_id": "241946"}, {"ref": "marcoac/prova1-titanic", "kernel_id": "245507"}, {"ref": "stezsofi/mz626-draft", "kernel_id": "239971"}, {"ref": "magomed/titanic-survival-forecast-a-first-kaggle-submit", "kernel_id": "399975"}, {"ref": "leonidbl/notebook2c61510424", "kernel_id": "240036"}, {"ref": "leonidbl/an-interactive-data-science-tutorial", "kernel_id": "240038"}, {"ref": "kguillaume/notebooke00d362c11", "kernel_id": "240047"}, {"ref": "kguillaume/titanic-1", "kernel_id": "240049"}, {"ref": "newlearner1/smith", "kernel_id": "240066"}, {"ref": "harshtyagi/titanic-machine-learning", "kernel_id": "315032"}, {"ref": "lattesandcode/titanic-prediction-script", "kernel_id": "240827"}, {"ref": "vinylasphalt/titanic-test", "kernel_id": "240107"}, {"ref": "informed/the-who-s-who-of-dead-passengers", "kernel_id": "240120"}, {"ref": "jaykay1/notebookfcad0b6179", "kernel_id": "240148"}, {"ref": "saadvirk2017/titanic-practise-first-ever-experiance", "kernel_id": "251391"}, {"ref": "applepicke/notebook2b3155d785", "kernel_id": "242411"}, {"ref": "daydreameramanujan/notebook992dc6d06c", "kernel_id": "270275"}, {"ref": "eamsouza/notebook6aa3ed2e88", "kernel_id": "240203"}, {"ref": "biweiguo/fork-of-an-interactive-data-science-tutorial", "kernel_id": "245814"}, {"ref": "biweiguo/an-interactive-data-science-tutorial", "kernel_id": "240214"}, {"ref": "vxg260900/titanic-dataset-in-python", "kernel_id": "240236"}, {"ref": "kolbay/notebook87fbbe59ec", "kernel_id": "254237"}, {"ref": "cosentinoda12/exploring-survival-on-the-titanic", "kernel_id": "240239"}, {"ref": "cosentinoda12/exploring-survival-on-the-titanic-dc", "kernel_id": "247917"}, {"ref": "ssexyryan/notebookc5905ac016", "kernel_id": "240284"}, {"ref": "vradore/titanic-survival-analysis-with-missing-values", "kernel_id": "320390"}, {"ref": "jandersonff/titanic-xgboost-using-gridsearch", "kernel_id": "311478"}, {"ref": "jandersonff/titanic-xgboost-jj", "kernel_id": "311481"}, {"ref": "rdbaker/notebook9f4964f9eb", "kernel_id": "260047"}, {"ref": "srathore0903/titanic-disaster-story", "kernel_id": "253412"}, {"ref": "rickaelf/notebooka941bff9af", "kernel_id": "240382"}, {"ref": "mhtung/notebook4f73d1911c", "kernel_id": "240475"}, {"ref": "mhtung/test123", "kernel_id": "240476"}, {"ref": "megnicd/notebook55d111dcfe", "kernel_id": "240529"}, {"ref": "wesley1232/notebookd70271a572", "kernel_id": "241019"}, {"ref": "adnannusrataziz/titanic-data-science-solutions-66b321", "kernel_id": "240556"}, {"ref": "olcina/notebook058a88f05f", "kernel_id": "245714"}, {"ref": "tomichi/notebook601232a9eb", "kernel_id": "240574"}, {"ref": "manojitballav/notebookbfae9712d5", "kernel_id": "240674"}, {"ref": "ronylussari/titanic-data-science-solutions", "kernel_id": "258590"}, {"ref": "assadaav/titanic", "kernel_id": "240675"}, {"ref": "assadaav/notebooka151ff664b", "kernel_id": "246850"}, {"ref": "dingyuliang/notebook2ec553c443", "kernel_id": "276341"}, {"ref": "rhinoh/notebook0830b80f2a", "kernel_id": "248045"}, {"ref": "datafab/beginner-titanic-competition-try", "kernel_id": "347013"}, {"ref": "humanlearner17/a-journey-through-titanic-7ba7f7", "kernel_id": "245180"}, {"ref": "aboellinger/notebook535c2d9260", "kernel_id": "240753"}, {"ref": "kyeshwant/notebook0b29ed9235", "kernel_id": "240754"}, {"ref": "ayushi2/titanic-beginner", "kernel_id": "448614"}, {"ref": "rajunitald/notebook5b472b4d55", "kernel_id": "241282"}, {"ref": "dgrannas/notebook3c2477cf04", "kernel_id": "240790"}, {"ref": "dhmkaggle/titanic", "kernel_id": "240816"}, {"ref": "qinghudd/notebook187c5398d1", "kernel_id": "240844"}, {"ref": "lhaber/notebook7168c586dd", "kernel_id": "240861"}, {"ref": "fangyuan0123/notebook5611f54096", "kernel_id": "240864"}, {"ref": "dennisdepp/an-interactive-data-science-tutorial", "kernel_id": "240946"}, {"ref": "dennisdepp/titaniclearningqi", "kernel_id": "240948"}, {"ref": "leonardolima/an-interactive-data-science-tutorial", "kernel_id": "341736"}, {"ref": "leonardolima/titanic-competition-notebook-0-80-top-10", "kernel_id": "336253"}, {"ref": "ragaravali/intro", "kernel_id": "240888"}, {"ref": "zyajnokid/titantic-survival-prediction", "kernel_id": "241079"}, {"ref": "zyajnokid/notebook124fee8705", "kernel_id": "241082"}, {"ref": "alandman/testing123", "kernel_id": "241595"}, {"ref": "esserasa/notebook3fbd6d1cb1", "kernel_id": "241684"}, {"ref": "maojunghsu/titanic-survival-prediction", "kernel_id": "241358"}, {"ref": "kitachiquita/notebook70d4970c7c", "kernel_id": "241046"}, {"ref": "kitachiquita/an-interactive-data-science-tutorial", "kernel_id": "241042"}, {"ref": "kitachiquita/notebookf0bc960611", "kernel_id": "241043"}, {"ref": "fisherxyk/titanic-data-science-solutions", "kernel_id": "242610"}, {"ref": "chenmingmu/notebook4b09850417", "kernel_id": "264863"}, {"ref": "chenmingmu/notebookcb47c213a9", "kernel_id": "264864"}, {"ref": "chenmingmu/notebook2a39ea740d", "kernel_id": "264887"}, {"ref": "johnzyh/titanic-0-82297", "kernel_id": "249778"}, {"ref": "gauravpride1985/notebook47a8dddc16", "kernel_id": "241073"}, {"ref": "dilippaneru/hello", "kernel_id": "241213"}, {"ref": "abhishekd1977/my-first-kaggle-notebook", "kernel_id": "248123"}, {"ref": "kardesh/notebookefd840f314", "kernel_id": "244538"}, {"ref": "mlwxqazr/notebook6be819fd1d", "kernel_id": "242137"}, {"ref": "alainwong/notebook07248f186d", "kernel_id": "241232"}, {"ref": "yanbinxu/enter", "kernel_id": "263431"}, {"ref": "sankettantia/notebookef13e41bf2", "kernel_id": "257443"}, {"ref": "sankettantia/notebook641ccf001f", "kernel_id": "257444"}, {"ref": "onecloud16/my-titan", "kernel_id": "244650"}, {"ref": "onecloud16/notebook49a878ae1f", "kernel_id": "244648"}, {"ref": "leighlawhon/titanic-data-science-solutions", "kernel_id": "241243"}, {"ref": "kghovanlou/notebookd77f2e98d1", "kernel_id": "274159"}, {"ref": "kghovanlou/titanic-test", "kernel_id": "274161"}, {"ref": "raduangelescu/titanictest", "kernel_id": "241253"}, {"ref": "hacstii/notebook19aa5bc89e", "kernel_id": "253918"}, {"ref": "tomoyat/notebookddb27f6366", "kernel_id": "241281"}, {"ref": "timdid/first-competition-learning-purpose", "kernel_id": "242015"}, {"ref": "ludi666/titanic-prediction", "kernel_id": "241344"}, {"ref": "wangqingcan/notebook5b3e1c4725", "kernel_id": "241311"}, {"ref": "vin2876/notebookc3dac81988", "kernel_id": "241350"}, {"ref": "cyrilog/notebooka0d5f9efe6", "kernel_id": "241401"}, {"ref": "milaneric/eda-titanic", "kernel_id": "253425"}, {"ref": "abhihunter/notebook8b6291dddd", "kernel_id": "241375"}, {"ref": "george238/notebookb791774b1f", "kernel_id": "243006"}, {"ref": "eazhary/titanic-first", "kernel_id": "289461"}, {"ref": "djam13floyd/notebook578979a531", "kernel_id": "241455"}, {"ref": "harvar/notebook6fadbab2d6", "kernel_id": "241470"}, {"ref": "arothkegel/notebook74b21c3038", "kernel_id": "262941"}, {"ref": "rayman555/notebook3c5035b227", "kernel_id": "241539"}, {"ref": "jordimasip/prueba", "kernel_id": "254585"}, {"ref": "jordimasip/prueba-titanic-interactive", "kernel_id": "255164"}, {"ref": "ynouri/titanic", "kernel_id": "759324"}, {"ref": "florianmf/an-interactive-data-science-tutorial", "kernel_id": "241641"}, {"ref": "dandynaufaldi/first-attemp-random-forest", "kernel_id": "275777"}, {"ref": "hanloncecilia/notebook1515ae791c", "kernel_id": "241688"}, {"ref": "rollup/notebook4998d7cea4", "kernel_id": "243113"}, {"ref": "hatran84/titanic-competition", "kernel_id": "241694"}, {"ref": "balli2195/kagglin", "kernel_id": "243173"}, {"ref": "gaukulius/scikit-learn-ml-from-start-to-finish", "kernel_id": "241840"}, {"ref": "iamarmanahmed/titanic-survival-dataset-analysis", "kernel_id": "241938"}, {"ref": "rodion1987/notebook69220a7ae3", "kernel_id": "242069"}, {"ref": "rodion1987/notebookdafd3429d0", "kernel_id": "242070"}, {"ref": "rodion1987/notebookb063641619", "kernel_id": "243007"}, {"ref": "timmenk/notebook2a6f08181c", "kernel_id": "241979"}, {"ref": "dyoshiha/notebookd634d4fcec", "kernel_id": "241983"}, {"ref": "dyoshiha/notebook9f88f56802", "kernel_id": "242821"}, {"ref": "evandyou/notebookf2ca1ce7d9", "kernel_id": "248473"}, {"ref": "rytisk/test-m", "kernel_id": "242007"}, {"ref": "mlfuture/notebook1b5d05c8ad", "kernel_id": "242056"}, {"ref": "mlfuture/notebook88b4221488", "kernel_id": "242061"}, {"ref": "mlfuture/notebook779bf6b474", "kernel_id": "242033"}, {"ref": "mlfuture/notebookf4c633f214", "kernel_id": "242511"}, {"ref": "lytingxx/titanic-ting", "kernel_id": "242150"}, {"ref": "davidecpkn/titanic-data-science-solutions", "kernel_id": "246160"}, {"ref": "mario0711/notebook5b9948d636", "kernel_id": "242098"}, {"ref": "mario0711/mario", "kernel_id": "242100"}, {"ref": "parthtyagi/notebookdd1b5a057d", "kernel_id": "243816"}, {"ref": "parthtyagi/notebook30849f0017", "kernel_id": "243818"}, {"ref": "parthtyagi/notebookab29a721ee", "kernel_id": "261073"}, {"ref": "parthtyagi/notebook05cb1640b7", "kernel_id": "260398"}, {"ref": "elmati/notebook14f2a8f0c4", "kernel_id": "242190"}, {"ref": "elmati/notebookef55704e72", "kernel_id": "243169"}, {"ref": "prymomarzo/notebookdd70f5e1b0", "kernel_id": "242430"}, {"ref": "janfreyberg/notebook43a322b236", "kernel_id": "242219"}, {"ref": "samitop/notebook119e95be79", "kernel_id": "242319"}, {"ref": "annabogdanowicz94/notebook7659f3c233", "kernel_id": "242345"}, {"ref": "maithilishembekar/test1", "kernel_id": "242382"}, {"ref": "vyordanov/titanic-disaster-logistic-regression-0-7655", "kernel_id": "295483"}, {"ref": "stevebroll/notebookea088f838e", "kernel_id": "397485"}, {"ref": "ericroe/titanic-first-go", "kernel_id": "243152"}, {"ref": "ericroe/notebookad76fc3e7a", "kernel_id": "243148"}, {"ref": "jimmyyang/titanic-survival-list-using-classification", "kernel_id": "242607"}, {"ref": "jimmyyang/fork-of-titanic-survival-list-using-classification", "kernel_id": "243544"}, {"ref": "huangyusheng/titanic-data-science-solutions", "kernel_id": "242579"}, {"ref": "nkgwer/main-py", "kernel_id": "242591"}, {"ref": "takayasu/0926-demo", "kernel_id": "371369"}, {"ref": "liujiaqi/notebook97f1e99ed9", "kernel_id": "536365"}, {"ref": "whusgglc/a-journey-through-titanic", "kernel_id": "256539"}, {"ref": "whusgglc/fork-of-a-journey-through-titanic", "kernel_id": "256541"}, {"ref": "suryamoitra/notebook76fa1adf66", "kernel_id": "242783"}, {"ref": "suryamoitra/exploring-survival-on-the-titanic", "kernel_id": "242780"}, {"ref": "veerendrab/using-entity-embeddings-and-neural-networks", "kernel_id": "856676"}, {"ref": "chrische/chris-s-test", "kernel_id": "243834"}, {"ref": "amanbabu/titanic-data-science-solutions", "kernel_id": "243026"}, {"ref": "amanbabu/survival-rates-prediction-of-passengers-on-titanic", "kernel_id": "244554"}, {"ref": "jamescarter/notebook01e7e5e99d", "kernel_id": "242976"}, {"ref": "danabenbassat/titanic", "kernel_id": "243730"}, {"ref": "ogrod87/notebook6002c2c300", "kernel_id": "242857"}, {"ref": "phanbach/titanic-data-science-solutions", "kernel_id": "243575"}, {"ref": "laurakoster/notebooke762d191a1", "kernel_id": "242894"}, {"ref": "qianzheqi/notebook3dddbfdef9", "kernel_id": "242904"}, {"ref": "ninaroth/notebook5abd7121b6", "kernel_id": "242925"}, {"ref": "ninaroth/notebookdf86ae9723", "kernel_id": "242961"}, {"ref": "ninaroth/pytanic", "kernel_id": "266424"}, {"ref": "hemurocks/notebook2915078b8d", "kernel_id": "242940"}, {"ref": "kapilnandwana/introduction-to-ensembling-stacking-in-pyth-abeea5", "kernel_id": "272501"}, {"ref": "madhoney/classic-data-driven-approach", "kernel_id": "532049"}, {"ref": "surasakcho/ginjo-s-prediction-thai", "kernel_id": "407578"}, {"ref": "lizhongnan/introduction-to-ensembling-stacking-in-python", "kernel_id": "259197"}, {"ref": "rogerrody/notebook687bb9313f", "kernel_id": "243124"}, {"ref": "rogerrody/notebookba27eb2aa2", "kernel_id": "243126"}, {"ref": "francescocasalegno/nuagix-titanix", "kernel_id": "390861"}, {"ref": "aymanfsherief/another-titanic-notebook-by-another-beginner", "kernel_id": "720429"}, {"ref": "aymanfsherief/titanic-notebook", "kernel_id": "720126"}, {"ref": "arjunbahl1910/try-titanic-problem", "kernel_id": "244111"}, {"ref": "charlescushing/notebook90f23b7f0b", "kernel_id": "243333"}, {"ref": "divyakamath29/notebook5839a0f89c", "kernel_id": "243285"}, {"ref": "ebertolo/xgboost-model-pt-br", "kernel_id": "356605"}, {"ref": "ebertolo/validation-split-cross-validation-ptbr", "kernel_id": "356398"}, {"ref": "ebertolo/xgboost-model-pt-br-p4", "kernel_id": "457647"}, {"ref": "ebertolo/dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "457676"}, {"ref": "ebertolo/decision-tree-e-features-num-ricas-pt-br-p1", "kernel_id": "457625"}, {"ref": "ebertolo/random-forest-e-features-num-ricas-pt-br-p2", "kernel_id": "457631"}, {"ref": "ebertolo/random-forest-e-feature-engineering-pt-br-p3", "kernel_id": "457636"}, {"ref": "ebertolo/fork-of-dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "457797"}, {"ref": "ebertolo/aula-01-decision-tree-e-features-num-ricas", "kernel_id": "457909"}, {"ref": "ebertolo/titanic-random-forest-e-feature-engineering", "kernel_id": "758046"}, {"ref": "hyperion302/titanic-notebook", "kernel_id": "243318"}, {"ref": "hyperion302/titanic-script", "kernel_id": "243319"}, {"ref": "hyperion302/notebook5e690b8676", "kernel_id": "243336"}, {"ref": "newhardwarefound/datacamp-random-forest", "kernel_id": "426406"}, {"ref": "gabrieltseng/titanic-machine-learning-from-disaster", "kernel_id": "245586"}, {"ref": "roelbello/notebook35e3536d1d", "kernel_id": "245945"}, {"ref": "fishclear/notebooka611ebece3", "kernel_id": "243400"}, {"ref": "rahulsonu1/titanic-py", "kernel_id": "243392"}, {"ref": "pramodr20/notebook0c83f5c609", "kernel_id": "257128"}, {"ref": "saimarapareddy/titanic-accuracy-80", "kernel_id": "248589"}, {"ref": "learner220/notebook6c54c2131f", "kernel_id": "243398"}, {"ref": "learner220/notebookf8d6c31470", "kernel_id": "243401"}, {"ref": "dmitrytoda/notebooke3607136f6", "kernel_id": "243433"}, {"ref": "josealo94/notebook447fcbe1ba", "kernel_id": "243431"}, {"ref": "degva29/notebook0958a02aa7", "kernel_id": "243475"}, {"ref": "jhonsonsinging/notebook13c1ba7c94", "kernel_id": "243490"}, {"ref": "jhonsonsinging/notebook74d976950c", "kernel_id": "243670"}, {"ref": "machinelearningrich/titantic-tutorial", "kernel_id": "243488"}, {"ref": "lfahmy/attempt1", "kernel_id": "243505"}, {"ref": "jmurano/testkaggle", "kernel_id": "244278"}, {"ref": "anayac/notebook3444b0ad86", "kernel_id": "244281"}, {"ref": "r96941046/titanic-notebook", "kernel_id": "255224"}, {"ref": "r96941046/titanic-survival-prediction", "kernel_id": "255023"}, {"ref": "r96941046/titanic", "kernel_id": "254435"}, {"ref": "r96941046/notebook34540130e9", "kernel_id": "254428"}, {"ref": "leochiang/notebookf094266993", "kernel_id": "244402"}, {"ref": "leochiang/notebook7faf2da383", "kernel_id": "244406"}, {"ref": "simonjohn/titanic-data-science-solutions", "kernel_id": "246242"}, {"ref": "apple24/notebook4da3405528", "kernel_id": "262576"}, {"ref": "apple24/notebookfe11457cee", "kernel_id": "262578"}, {"ref": "ariella100/notebooke64293b709", "kernel_id": "243876"}, {"ref": "monikachhibba/notebook687cdfbbc5", "kernel_id": "243800"}, {"ref": "celtics33/titanic", "kernel_id": "243788"}, {"ref": "birudvora/test-titanic", "kernel_id": "253079"}, {"ref": "mvincent/titanic-sample", "kernel_id": "278777"}, {"ref": "mvincent/kaggle-sample", "kernel_id": "276810"}, {"ref": "kwacken/titanic-survival", "kernel_id": "255588"}, {"ref": "tanmaym88/my-1st-kernel", "kernel_id": "274394"}, {"ref": "vankhoa21991/titanic-svm-prediction-kl", "kernel_id": "245856"}, {"ref": "lexotrion/learn-titanic", "kernel_id": "243868"}, {"ref": "ssx106/notebook87c9b6b530", "kernel_id": "244578"}, {"ref": "foxriver76/notebook09435a133a", "kernel_id": "244065"}, {"ref": "foxriver76/testing-titanic", "kernel_id": "244005"}, {"ref": "aminnezarat/test-my-account", "kernel_id": "243909"}, {"ref": "hekupass/nn-example", "kernel_id": "279680"}, {"ref": "bettytong/titanic-data-science-solutions", "kernel_id": "245078"}, {"ref": "holger912/notebook7a26bf9157", "kernel_id": "243942"}, {"ref": "chrisk447/notebookbc5bb43e19", "kernel_id": "266063"}, {"ref": "melaniekan/practice-feature-generation-and-random-forest", "kernel_id": "289725"}, {"ref": "dtcvvvv/notebook65b02fc70c", "kernel_id": "260554"}, {"ref": "ostaski/partial-dependence-plots", "kernel_id": "695490"}, {"ref": "ernestosantos/titanic-data-science-solutions", "kernel_id": "256426"}, {"ref": "edolatabadi/notebook3dc0e7538c", "kernel_id": "244206"}, {"ref": "skoch9/notebook85c5fa9f95", "kernel_id": "244130"}, {"ref": "skoch9/testscript", "kernel_id": "244134"}, {"ref": "dhanakondu/notebook0e99a8b2e1", "kernel_id": "244150"}, {"ref": "h3adless/notebookdc73fc3ed1", "kernel_id": "244189"}, {"ref": "davidarteaga/notebookd2b8fcdb4d", "kernel_id": "244187"}, {"ref": "arhuman/notebook3323ba3403", "kernel_id": "244197"}, {"ref": "irvollo/notebook98235cfcca", "kernel_id": "244216"}, {"ref": "irvollo/notebooka10e7b9894", "kernel_id": "244221"}, {"ref": "binace/titan", "kernel_id": "257929"}, {"ref": "aiskakov/notebookd68e8a761c", "kernel_id": "256270"}, {"ref": "noodlelee/notebook61af39c308", "kernel_id": "244345"}, {"ref": "davidwfranco/notebook99c9f1c6c3", "kernel_id": "244355"}, {"ref": "tinaju/notebookd3a32c9df5", "kernel_id": "266074"}, {"ref": "davidxbuck/random-forest-benchmark-r", "kernel_id": "265435"}, {"ref": "krueg125/titanicmodel", "kernel_id": "244395"}, {"ref": "jihkai21/notebook47f9b9bedb", "kernel_id": "244391"}, {"ref": "tapu1125/notebook3aafd48795", "kernel_id": "257297"}, {"ref": "sathish09/notebooke0c59e79f3", "kernel_id": "244417"}, {"ref": "gspraneethreddy9/notebook6d8c4dea1c", "kernel_id": "244453"}, {"ref": "hcwong/notebook086f844a8a", "kernel_id": "251175"}, {"ref": "hcwong/ml-proj-1-titanic-predictor", "kernel_id": "257077"}, {"ref": "hcwong/notebook79ceeb4032", "kernel_id": "256325"}, {"ref": "lujunyu/predict-survival-on-the-titanic", "kernel_id": "244623"}, {"ref": "michkun/titanic-dataset-with-random-forests", "kernel_id": "256224"}, {"ref": "michkun/notebook9b9fc70ca8", "kernel_id": "255301"}, {"ref": "jiaolaoer/notebookde24b89199", "kernel_id": "244726"}, {"ref": "jayspeidell/eda-feature-engineering-and-multiple-models", "kernel_id": "308473"}, {"ref": "jayspeidell/eda-and-randomforest", "kernel_id": "304215"}, {"ref": "jayspeidell/notebook6056ed8794", "kernel_id": "304217"}, {"ref": "kyowill/titanic", "kernel_id": "248261"}, {"ref": "daron0215/notebook20aeabf268", "kernel_id": "244521"}, {"ref": "ndcroos/introduction-to-ensembling-stacking-in-pyth-e53128", "kernel_id": "246861"}, {"ref": "ndcroos/titanic-classifier-ensemble-stacking-with-xgboost", "kernel_id": "246875"}, {"ref": "jrothermel/notebook0a3b28f48c", "kernel_id": "244564"}, {"ref": "paulbilan/titanic-001-2", "kernel_id": "244738"}, {"ref": "gosmaster/start-for-basic-datascience", "kernel_id": "252262"}, {"ref": "chgw2001/notebookfc8f5ec1a8", "kernel_id": "248204"}, {"ref": "chgw2001/titanic-test", "kernel_id": "248207"}, {"ref": "chgw2001/notebook7deddd5f08", "kernel_id": "248214"}, {"ref": "chgw2001/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "248267"}, {"ref": "chgw2001/notebookff7e4e1a3e", "kernel_id": "254394"}, {"ref": "ballxu/notebooke8f607645e", "kernel_id": "261163"}, {"ref": "goldfinch2/notebook7522d034ce", "kernel_id": "244666"}, {"ref": "keriber/notebookade587643f", "kernel_id": "244661"}, {"ref": "germainb/titanic-starting-with-ml-and-eda", "kernel_id": "248407"}, {"ref": "rickyrrr/notebookdd7689719f", "kernel_id": "247339"}, {"ref": "pavl1o/notebookda7700bff7", "kernel_id": "244725"}, {"ref": "huffiexu/notebookfed3330153", "kernel_id": "244785"}, {"ref": "derrington/titanic-with-movie-character-predictions", "kernel_id": "701033"}, {"ref": "berton/news-stocks", "kernel_id": "261085"}, {"ref": "aaguilar13/titanic-challenge-a-smorgasbord-of-ml-models", "kernel_id": "297673"}, {"ref": "anglerpi/titanic", "kernel_id": "705546"}, {"ref": "fan6585589/notebookd7deec5333", "kernel_id": "244908"}, {"ref": "fan6585589/notebook1e8a7ba2a9", "kernel_id": "244972"}, {"ref": "fan6585589/notebook2820d7806d", "kernel_id": "244973"}, {"ref": "johannesfj/johannes-titanic", "kernel_id": "244930"}, {"ref": "aashiq/notebookca6bff77ba", "kernel_id": "245329"}, {"ref": "aashiq/notebook9d46bd378f", "kernel_id": "247079"}, {"ref": "gustavoreynaldo/test1", "kernel_id": "244954"}, {"ref": "gustavoreynaldo/test2", "kernel_id": "244956"}, {"ref": "elser18/notebook83498db865", "kernel_id": "244953"}, {"ref": "kallipygos/notebook3408b654d1", "kernel_id": "244969"}, {"ref": "silsir/notebookd59cd450ad", "kernel_id": "244970"}, {"ref": "liubomyr/titanic-test-1", "kernel_id": "247485"}, {"ref": "sirgil/notebook1944b4358c", "kernel_id": "245003"}, {"ref": "beovulfo/notebook14f8bdc3f0", "kernel_id": "246505"}, {"ref": "beovulfo/titanic-work-for-beginners", "kernel_id": "247619"}, {"ref": "drcsood/notebook153782fe25", "kernel_id": "251202"}, {"ref": "tikkle/notebook71e2f74014", "kernel_id": "270033"}, {"ref": "dashaaa/titanic-solutions-python", "kernel_id": "269692"}, {"ref": "jastrauskas/notebookb5b21242f0", "kernel_id": "259854"}, {"ref": "aardal/titanic-data-science-solutions", "kernel_id": "245700"}, {"ref": "aardal/notebookda09e3417b", "kernel_id": "245712"}, {"ref": "splxsg/titanic", "kernel_id": "254061"}, {"ref": "splxsg/test12", "kernel_id": "254852"}, {"ref": "binbinx/notebook577ecb29a4", "kernel_id": "245168"}, {"ref": "binbinx/alpha", "kernel_id": "245320"}, {"ref": "coreykeyser/titanic-lol", "kernel_id": "245183"}, {"ref": "fourone143/notebookadd9548af6", "kernel_id": "245201"}, {"ref": "robinfivewords/exploring-survival-on-the-titanic", "kernel_id": "245206"}, {"ref": "yyvess/titanic-exploring-passengers-profile", "kernel_id": "258926"}, {"ref": "alberto33/a-journey-through-titanic", "kernel_id": "517964"}, {"ref": "alberto33/introduction-to-ensembling-stacking-in-python", "kernel_id": "521123"}, {"ref": "alberto33/tensorflow-deep-learning-to-solve-titanic", "kernel_id": "521375"}, {"ref": "fengyf/script-1", "kernel_id": "245287"}, {"ref": "iancho88/an-interactive-data-science-tutorial", "kernel_id": "251251"}, {"ref": "normanhoang/titanic-tutorial-survival-using-datacamp", "kernel_id": "245293"}, {"ref": "hjchoi2/notebook400867dd27", "kernel_id": "245346"}, {"ref": "bruno1993/notebooke906c2f9e9", "kernel_id": "245326"}, {"ref": "kylinorange/notebook04936a4c04", "kernel_id": "252008"}, {"ref": "yimuge/notebook95eb186fca", "kernel_id": "245394"}, {"ref": "tarisross/notebook37abcb97b2", "kernel_id": "247039"}, {"ref": "fanyouping/notebook2540b547b1", "kernel_id": "245376"}, {"ref": "mephys/notebookae9358bc51", "kernel_id": "245387"}, {"ref": "moelgendy/notebookba18f6e780", "kernel_id": "247242"}, {"ref": "richardqiu/data-training", "kernel_id": "248044"}, {"ref": "benmatok/notebook4a988bb3c0", "kernel_id": "245450"}, {"ref": "benmatok/testscript", "kernel_id": "245452"}, {"ref": "benmatok/testing-env", "kernel_id": "245445"}, {"ref": "sknd97/notebook33755368ca", "kernel_id": "245817"}, {"ref": "testbox/notebookd3f9f7aa57", "kernel_id": "258243"}, {"ref": "sitaxx/notebooke31ebe84fd", "kernel_id": "268327"}, {"ref": "brilley/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "247954"}, {"ref": "lauraniklas/notebookc2e66b6c50", "kernel_id": "245520"}, {"ref": "rjcurio/notebook1f1b1c7b58", "kernel_id": "245566"}, {"ref": "arunnethi/titanic-1", "kernel_id": "245541"}, {"ref": "vyacheslavov/notebook6fbaa541d2", "kernel_id": "245876"}, {"ref": "pawelwegrzyn/notebook376b017cb1", "kernel_id": "245582"}, {"ref": "pawelwegrzyn/titanic-data-science-solutions", "kernel_id": "245595"}, {"ref": "bonotake/note-on-titanic-tutorial-in-japanese", "kernel_id": "253142"}, {"ref": "jacobfair/exploring-survival-on-the-titanic", "kernel_id": "248564"}, {"ref": "rkiselev/titanic-decision-tree", "kernel_id": "251716"}, {"ref": "rkiselev/trying-to-submit-a-solution", "kernel_id": "251720"}, {"ref": "chenmy121/an-interactive-data-science-tutorial-116a40", "kernel_id": "257543"}, {"ref": "panyang06231989/notebookab3a44697c", "kernel_id": "245821"}, {"ref": "panyang06231989/titanic-solution", "kernel_id": "245823"}, {"ref": "panyang06231989/titanic-data", "kernel_id": "245828"}, {"ref": "panyang06231989/notebook5a7178ca79", "kernel_id": "249338"}, {"ref": "gandhimaulik/notebook54810c2e43", "kernel_id": "245790"}, {"ref": "yanimanov/notebookd77520773b", "kernel_id": "245813"}, {"ref": "moutard/notebookf7789714a0", "kernel_id": "245875"}, {"ref": "moutard/titanic", "kernel_id": "246132"}, {"ref": "byang12/notebook312da2d35d", "kernel_id": "245881"}, {"ref": "fortuneandrewchen/notebookf83438345d", "kernel_id": "246080"}, {"ref": "fortuneandrewchen/titaniclearningqi-98f86a", "kernel_id": "246634"}, {"ref": "jcvallier/notebook9019937237", "kernel_id": "248648"}, {"ref": "leonfeng/titanic-ensemble-method-stacking", "kernel_id": "263263"}, {"ref": "leonfeng/titanic-voting-classifier", "kernel_id": "261567"}, {"ref": "folawiyo/scikit-learn-ml-from-start-to-finish", "kernel_id": "246632"}, {"ref": "muskelieno/puppala", "kernel_id": "246108"}, {"ref": "thoecool/kaggle-titanic-hasil-copas-dari-github", "kernel_id": "248112"}, {"ref": "lawtonandy/an-interactive-data-science-tutorial", "kernel_id": "249431"}, {"ref": "lawtonandy/endeavour", "kernel_id": "246125"}, {"ref": "lawtonandy/fork-of-endeavour", "kernel_id": "246599"}, {"ref": "callosum/notebook48276e6bcc", "kernel_id": "259886"}, {"ref": "callosum/notebook0a3ee59065", "kernel_id": "259897"}, {"ref": "quixotry/notebook488145d121", "kernel_id": "246456"}, {"ref": "hbianc/notebook1d14e0dc25", "kernel_id": "269242"}, {"ref": "jmbishop/notebookb71f2fd8db", "kernel_id": "246367"}, {"ref": "andrewfinke/titanic-data-science-solutions", "kernel_id": "247886"}, {"ref": "wawacorp/notebook25f288c931", "kernel_id": "246331"}, {"ref": "ishsonya/titanic", "kernel_id": "246369"}, {"ref": "ishsonya/notebook932d8fbd94", "kernel_id": "246771"}, {"ref": "maltebeck/notebooke4d32128a4", "kernel_id": "246348"}, {"ref": "maltebeck/titanicpred", "kernel_id": "246343"}, {"ref": "jmw11af/exploring-survival-on-the-titanic", "kernel_id": "246463"}, {"ref": "kevinbinz/notebook9b599e51fd", "kernel_id": "247769"}, {"ref": "katerpillar/an-interactive-data-science-tutorial", "kernel_id": "246789"}, {"ref": "cheverne/notebook3e0dec49e9", "kernel_id": "246403"}, {"ref": "andrewrk/notebooke180099cb9", "kernel_id": "246419"}, {"ref": "andrewrk/notebookf8d4798a45", "kernel_id": "246424"}, {"ref": "snoopbobb/notebook5ca8112458", "kernel_id": "247934"}, {"ref": "lukaszlalik/titanic-machine-learning-from-disaster", "kernel_id": "892055"}, {"ref": "jinwar/random-forest-test", "kernel_id": "246489"}, {"ref": "zhangy/notebook986587cc94", "kernel_id": "259561"}, {"ref": "mbogard/notebook60a481d3ae", "kernel_id": "246552"}, {"ref": "hellopatrick/notebook4fc77323d3", "kernel_id": "246569"}, {"ref": "khanal/titanic-survival", "kernel_id": "254992"}, {"ref": "mikee79/notebook62c4bc1cce", "kernel_id": "246957"}, {"ref": "hkimura/titanic-xgboost", "kernel_id": "253562"}, {"ref": "sahmilcheelan/byrelation", "kernel_id": "247044"}, {"ref": "sahmilcheelan/embarkment", "kernel_id": "247061"}, {"ref": "sahmilcheelan/class-parch", "kernel_id": "247783"}, {"ref": "sahmilcheelan/sex-parch", "kernel_id": "247786"}, {"ref": "sahmilcheelan/gender-embarked", "kernel_id": "247744"}, {"ref": "sahmilcheelan/abcdef", "kernel_id": "247757"}, {"ref": "sahmilcheelan/beginner1", "kernel_id": "249964"}, {"ref": "sahmilcheelan/beginning", "kernel_id": "246736"}, {"ref": "sahmilcheelan/bygender", "kernel_id": "246754"}, {"ref": "yingfeng/titanic-train", "kernel_id": "292586"}, {"ref": "yingfeng/titanic", "kernel_id": "292602"}, {"ref": "yingfeng/titanic-data-science-solutions", "kernel_id": "284925"}, {"ref": "john12323/titaniclearningqi", "kernel_id": "246694"}, {"ref": "gscott/testscript", "kernel_id": "247238"}, {"ref": "gscott/first-kaggle-notebook", "kernel_id": "247239"}, {"ref": "heilmarx/fork-of-notebookd50a0bdf6b", "kernel_id": "246831"}, {"ref": "heilmarx/notebookd50a0bdf6b", "kernel_id": "246799"}, {"ref": "emilpop/notebook6195004686", "kernel_id": "247192"}, {"ref": "denzon/notebooke043bbceb0", "kernel_id": "247190"}, {"ref": "rafaelribas/predicting-titanic-survivors", "kernel_id": "280578"}, {"ref": "thevidyy/test-1", "kernel_id": "246923"}, {"ref": "thevidyy/titanic-kernel", "kernel_id": "247176"}, {"ref": "thevidyy/scikit-learn-ml-from-start-to-finish-03b16d", "kernel_id": "252761"}, {"ref": "thevidyy/notebook451930b358", "kernel_id": "252762"}, {"ref": "thevidyy/notebook45b5cdab69", "kernel_id": "252826"}, {"ref": "mozianand/mlmodelfirst", "kernel_id": "513375"}, {"ref": "mozianand/decision-tree-visualisation", "kernel_id": "566696"}, {"ref": "leuduan/notebook71fac69dd1", "kernel_id": "251495"}, {"ref": "sichun/my-titanic", "kernel_id": "246993"}, {"ref": "paulopontesm/testing-titanic", "kernel_id": "247012"}, {"ref": "baiwan/notebook002f560bb9", "kernel_id": "247005"}, {"ref": "delael/notebookc51641c7f1", "kernel_id": "247137"}, {"ref": "delael/notebook7765886cc5", "kernel_id": "247139"}, {"ref": "arunkumarm/notebookc645fb4194", "kernel_id": "247420"}, {"ref": "chathasphere/notebook80db336d94", "kernel_id": "247059"}, {"ref": "jules250/notebook878e8f0d1a", "kernel_id": "247102"}, {"ref": "circledan/kernelbedf88cfa3", "kernel_id": "706999"}, {"ref": "dlgusgh/notebooka46cc29774", "kernel_id": "247184"}, {"ref": "dlgusgh/titantic-trial-1", "kernel_id": "247186"}, {"ref": "brunodeabreu/titanic-bruno-machado", "kernel_id": "710206"}, {"ref": "guldin/notebook19b57d3f59", "kernel_id": "247228"}, {"ref": "aaevans/testing", "kernel_id": "263291"}, {"ref": "rubiagatra/titanic-survival-first-try-without-tutorial", "kernel_id": "395565"}, {"ref": "rubiagatra/titanic-survival-try-number-2", "kernel_id": "395966"}, {"ref": "rajkpritham/notebookcf684ff696", "kernel_id": "247286"}, {"ref": "diptansu/scikit-learn-ml-from-start-to-finish", "kernel_id": "247295"}, {"ref": "whyalike/notebook07447bdde9", "kernel_id": "257446"}, {"ref": "dbowden/notebook094cdc6d42", "kernel_id": "247346"}, {"ref": "enerrio/scikit-learn-ml-from-start-to-finish", "kernel_id": "247360"}, {"ref": "bondbond18/notebook06d04bf0b3", "kernel_id": "247400"}, {"ref": "clumdee/notebook418e386fd7", "kernel_id": "247376"}, {"ref": "clumdee/testrunscript", "kernel_id": "247378"}, {"ref": "clumdee/notebook8f975626d8", "kernel_id": "247379"}, {"ref": "clumdee/titanic-survival-prediction-end-to-end-ml-test", "kernel_id": "247380"}, {"ref": "okasurya/first-time-kaggle-ml", "kernel_id": "247381"}, {"ref": "okasurya/i-have-no-idea-what-ml-is", "kernel_id": "247377"}, {"ref": "sanwenboom/notebookff712775a0", "kernel_id": "247543"}, {"ref": "sanwenboom/notebook19bf0de928", "kernel_id": "247550"}, {"ref": "nitishsingh41/titanic", "kernel_id": "263401"}, {"ref": "nitishsingh41/notebook699d129b46", "kernel_id": "270500"}, {"ref": "seanholcomb/notebook02116c6031", "kernel_id": "258162"}, {"ref": "fishcui/notebookd66c69cd0b", "kernel_id": "261137"}, {"ref": "marcelf/titanic-first-machine-learning-steps", "kernel_id": "248626"}, {"ref": "ankitsingla26/notebookf17a5b42fd", "kernel_id": "247494"}, {"ref": "s4sheetal5/notebook2952174c4d", "kernel_id": "247509"}, {"ref": "pythonist/titanic", "kernel_id": "247580"}, {"ref": "brightller/solutions-of-titanic-data-science", "kernel_id": "268809"}, {"ref": "xinyueliu/notebookafe4aa43d2", "kernel_id": "247512"}, {"ref": "vochicong/forked-from-ahmedbesbes-work", "kernel_id": "499627"}, {"ref": "omenaas/notebook65c032e504", "kernel_id": "251778"}, {"ref": "xmachina/notebookeab2c1f3c2", "kernel_id": "247576"}, {"ref": "alphaprime/notebookd3a92b23bb", "kernel_id": "247592"}, {"ref": "matze34343/titanic-matzeschedel", "kernel_id": "247705"}, {"ref": "prateekvats/notebook6e06f3f25f", "kernel_id": "247623"}, {"ref": "ravenjoo/titanic-tutorial-script", "kernel_id": "272284"}, {"ref": "ravenjoo/titanic-tutorial", "kernel_id": "272159"}, {"ref": "nate778/notebook6c8ad03c1a", "kernel_id": "247656"}, {"ref": "valiantkevin/notebook61d471946f", "kernel_id": "247673"}, {"ref": "misterec/notebook2d97804384", "kernel_id": "247690"}, {"ref": "goodwebb/titanic-by-eda-and-h2o-package-chinese-version", "kernel_id": "540248"}, {"ref": "wikkefly/notebook22212012cd", "kernel_id": "252050"}, {"ref": "joaoamorim/an-interactive-data-science-tutorial", "kernel_id": "247765"}, {"ref": "philnugs/notebook4962e98aa7", "kernel_id": "247777"}, {"ref": "jblanchet/notebook28cc6ce30c", "kernel_id": "247794"}, {"ref": "haynakozo/r-feature-engineering-binning", "kernel_id": "511674"}, {"ref": "jdadamscs/notebook905dfecfa7", "kernel_id": "247824"}, {"ref": "kokwai4869/notebookfc64d18508", "kernel_id": "248164"}, {"ref": "kchiou/notebook356ff4a562", "kernel_id": "247998"}, {"ref": "kstengy/notebook4fc67b234f", "kernel_id": "248029"}, {"ref": "godblesszhk/notebook43c61228b1", "kernel_id": "249242"}, {"ref": "sushmithab7/notebook9da6eab112", "kernel_id": "256049"}, {"ref": "blackcode007/notebook352cd4d2df", "kernel_id": "248250"}, {"ref": "blackcode007/notebook4a112214eb", "kernel_id": "248258"}, {"ref": "jojoojo/notebookb4dff876b3", "kernel_id": "248240"}, {"ref": "koushikgangavaram/titanic-rf-prediction-0-81818", "kernel_id": "248290"}, {"ref": "zuxinlin/notebook3fc8afe765", "kernel_id": "248311"}, {"ref": "eitzen/notebook4ad8bfd476", "kernel_id": "248370"}, {"ref": "xlucas/first-try", "kernel_id": "252522"}, {"ref": "megha99/notebook4e6b165dbe", "kernel_id": "248352"}, {"ref": "yichudu/py-titanic-yichu", "kernel_id": "273179"}, {"ref": "yurigoro/learning-from-titan", "kernel_id": "249544"}, {"ref": "anand44/notebook276bd64108", "kernel_id": "248412"}, {"ref": "alexgoody/mytitanic", "kernel_id": "265547"}, {"ref": "yuyinghuang/notebook1b66fdecf3", "kernel_id": "264650"}, {"ref": "yuyinghuang/notebookdb4118d96a", "kernel_id": "254499"}, {"ref": "diwash1/notebook71d7f4d627", "kernel_id": "248539"}, {"ref": "caldred/titanic-ml", "kernel_id": "248737"}, {"ref": "cxm170/kiwi-s-first-kaggle-competition", "kernel_id": "248490"}, {"ref": "minglou/notebookfa0b466d9e", "kernel_id": "248526"}, {"ref": "jangwonpark/notebookd389a0d268", "kernel_id": "248491"}, {"ref": "pscheetz/an-interactive-data-science-tutorial-4493e2", "kernel_id": "249813"}, {"ref": "pscheetz/titanic-passenger-survival-analysis", "kernel_id": "255413"}, {"ref": "borgli/titaniclearning", "kernel_id": "248554"}, {"ref": "tejchi/notebook490e2d1ab1", "kernel_id": "262400"}, {"ref": "rosswell/notebookaf280b3688", "kernel_id": "248725"}, {"ref": "bitshifter/notebookb9ee929f42", "kernel_id": "262335"}, {"ref": "seabran/first-shot-at-titanic", "kernel_id": "254898"}, {"ref": "seabran/notebook3a5932b1d9", "kernel_id": "254899"}, {"ref": "dbsciece/notebook7a2dae39b0", "kernel_id": "249017"}, {"ref": "dbsciece/notebooke4dc9f1458", "kernel_id": "249025"}, {"ref": "jeffyu135/random-forests", "kernel_id": "249006"}, {"ref": "justjun0321/basic-eda-and-modeling-for-titanic-survival", "kernel_id": "551980"}, {"ref": "justjun0321/classification-practice-of-survival", "kernel_id": "440678"}, {"ref": "easton042/notebook0c4831ae49", "kernel_id": "251995"}, {"ref": "atinder/notebook5050203a0a", "kernel_id": "249168"}, {"ref": "atinder/notebook734fa49eb6", "kernel_id": "249191"}, {"ref": "jang1993/first-job", "kernel_id": "262190"}, {"ref": "chittora/notebook8ec9e0db04", "kernel_id": "249174"}, {"ref": "nothingwitty/titanic-tensorflow", "kernel_id": "249181"}, {"ref": "ennbee/notebook", "kernel_id": "249252"}, {"ref": "ritheshrao/abcde", "kernel_id": "249942"}, {"ref": "sdoh55/titanic-notebook", "kernel_id": "254335"}, {"ref": "rkudiyarov/kernel", "kernel_id": "249502"}, {"ref": "rkudiyarov/notebookdf214bf972", "kernel_id": "254971"}, {"ref": "earthbug/for-my-rose", "kernel_id": "249927"}, {"ref": "maoqingtian/my-first-test", "kernel_id": "249555"}, {"ref": "ym591276727/titanic-data-science-solutions-b822a2", "kernel_id": "262071"}, {"ref": "ym591276727/an-interactive-data-science-tutorial", "kernel_id": "262080"}, {"ref": "bjorngronntun/notebook1034c93379", "kernel_id": "251094"}, {"ref": "bjorngronntun/notebook3e604ecd53", "kernel_id": "251096"}, {"ref": "sunlight05/notebookf1c45f66f3", "kernel_id": "249615"}, {"ref": "rafaelmdourado/age-and-sex", "kernel_id": "260018"}, {"ref": "rafaelmdourado/hello-titanic-programmers", "kernel_id": "321354"}, {"ref": "rafaelmdourado/treinamento-programmers-v2", "kernel_id": "340833"}, {"ref": "rcoeugniet/notebook72f950b1b4", "kernel_id": "249616"}, {"ref": "martinkoenig/notebookec9a631e5b", "kernel_id": "249750"}, {"ref": "martinkoenig/script", "kernel_id": "249752"}, {"ref": "martinkoenig/notebook12345762b6", "kernel_id": "251119"}, {"ref": "martinkoenig/python-learn-script", "kernel_id": "264890"}, {"ref": "ccj242/titanic-attempt", "kernel_id": "256695"}, {"ref": "luqi67/notebooke64598640a", "kernel_id": "271451"}, {"ref": "luqi67/titanic", "kernel_id": "271456"}, {"ref": "luqi67/titanic-ll", "kernel_id": "271492"}, {"ref": "luqi67/titanic-survival-prediction-end-to-end-ml-p-332530", "kernel_id": "252977"}, {"ref": "luqi67/titanic-i", "kernel_id": "313626"}, {"ref": "cloudbuster/justin-python-tutorial", "kernel_id": "249819"}, {"ref": "hemelds/notebook67ba91b5f1", "kernel_id": "249840"}, {"ref": "uytrewq/an-interactive-data-science-tutorial", "kernel_id": "253751"}, {"ref": "ldviki/notebooka3a0769750", "kernel_id": "249911"}, {"ref": "asking28/tutorial-0titanic-data-science-solutions", "kernel_id": "265478"}, {"ref": "asking28/an-interactive-data-science-tutorial-fc30aa", "kernel_id": "265457"}, {"ref": "asking28/titanic-data-science-solutions", "kernel_id": "265443"}, {"ref": "gennadiiturutin/titanic-eda-simple-stacking", "kernel_id": "553306"}, {"ref": "datacleaner/titanic-survival-logistic-regression", "kernel_id": "369748"}, {"ref": "noneil/notebook3ec73a1245", "kernel_id": "251243"}, {"ref": "bittelc/pytanic", "kernel_id": "251307"}, {"ref": "bittelc/bittelc-titanic", "kernel_id": "251314"}, {"ref": "dataxulong/titanic-analysis", "kernel_id": "339706"}, {"ref": "tanya61094/titanic", "kernel_id": "251447"}, {"ref": "waypointgroup/fill-in-missing-age-data-in-titanic-data-set", "kernel_id": "311229"}, {"ref": "cjwbest/notebook26e9e4a3e9", "kernel_id": "252203"}, {"ref": "nutchanut/titanic", "kernel_id": "251533"}, {"ref": "nutchanut/titanicnnn", "kernel_id": "273109"}, {"ref": "dannypallotta/danny-s-titanic-notebook", "kernel_id": "254306"}, {"ref": "ayamberkakienam/notebook9924f5fee9", "kernel_id": "252914"}, {"ref": "hash14/titanic", "kernel_id": "260347"}, {"ref": "varunahuja/notebook551b9ecce4", "kernel_id": "251529"}, {"ref": "sabirul/notebook1ff03d6dbb", "kernel_id": "468885"}, {"ref": "sabirul/titanic-using-naive-bayes", "kernel_id": "468886"}, {"ref": "cesaaar/titanic-is-sinking", "kernel_id": "253295"}, {"ref": "danielsmgraves/notebook67eb39bce0", "kernel_id": "253388"}, {"ref": "danielsmgraves/notebookacca450081", "kernel_id": "255699"}, {"ref": "subraminion/titanic-attempt-1-forked", "kernel_id": "558768"}, {"ref": "demhaur/notebook2d870e04da", "kernel_id": "251713"}, {"ref": "croberts1/titanic-data-science-solutions", "kernel_id": "251843"}, {"ref": "svenerikh/unsinking-the-titanic", "kernel_id": "251802"}, {"ref": "svenerikh/notebookce2a37e2db", "kernel_id": "251804"}, {"ref": "johein/exploring-survival-on-the-titanic", "kernel_id": "252523"}, {"ref": "jfriksen/titanic-survival", "kernel_id": "251786"}, {"ref": "endrelidal/notebook1c79c462fd", "kernel_id": "251791"}, {"ref": "masaiba/notebook47b5ed20cd", "kernel_id": "251876"}, {"ref": "masaiba/notebookd5d36bc343", "kernel_id": "256384"}, {"ref": "masaiba/hello-world", "kernel_id": "257978"}, {"ref": "ericjp/titanic-data-science-solutions", "kernel_id": "252047"}, {"ref": "sheigoldberg/titanic-python-supervised-learning", "kernel_id": "307851"}, {"ref": "gabrielschultz2017/notebookcc2fac2922", "kernel_id": "251992"}, {"ref": "mdausmann/notebook6b7c927712", "kernel_id": "252460"}, {"ref": "jiexus/an-interactive-data-science-tutorial-24ca05", "kernel_id": "253533"}, {"ref": "jiexus/introduction-to-ensembling-stacking-in-python", "kernel_id": "519770"}, {"ref": "fernandesr/notebook16153059d2", "kernel_id": "251987"}, {"ref": "jellie/notebook463552ff48", "kernel_id": "252007"}, {"ref": "jellie/titanic-tutorial", "kernel_id": "252611"}, {"ref": "nursen/deathtoplebs", "kernel_id": "252067"}, {"ref": "tonmoyj/easy-take-on-the-beginner-problem-of-titanic", "kernel_id": "514229"}, {"ref": "thetransformerr/titanic-survivors", "kernel_id": "256739"}, {"ref": "judsonparker/titanic", "kernel_id": "505726"}, {"ref": "lfl1001/titanicnotebook", "kernel_id": "252182"}, {"ref": "lfl1001/titanicnotebook-r", "kernel_id": "252217"}, {"ref": "lfl1001/titanic-data-science-solutions", "kernel_id": "252229"}, {"ref": "anuwatj/titanic-data-science-solutions-fork2", "kernel_id": "252232"}, {"ref": "anuwatj/notebook-test1", "kernel_id": "252218"}, {"ref": "metawin/titanic-script", "kernel_id": "267659"}, {"ref": "xinyingliu1995/notebookf693046a8f", "kernel_id": "252258"}, {"ref": "lunran/kotohajime", "kernel_id": "252534"}, {"ref": "zhutianyucs/titanic", "kernel_id": "268500"}, {"ref": "yoshuajoe/titanic-data-science-solutions", "kernel_id": "252356"}, {"ref": "d0z1ngshark/titantic", "kernel_id": "252469"}, {"ref": "d0z1ngshark/notebook314a573292", "kernel_id": "269010"}, {"ref": "d0z1ngshark/notebookba62e0e896", "kernel_id": "269013"}, {"ref": "azeembootwala/titanic-logistic-regression", "kernel_id": "277087"}, {"ref": "aishwaryakandukuri/notebookdc31ff192a", "kernel_id": "252466"}, {"ref": "nafisur/pytanic", "kernel_id": "308299"}, {"ref": "tyleahm/titanic-data-science-solutions", "kernel_id": "252474"}, {"ref": "marioaieie/notebooka524de1e16", "kernel_id": "252496"}, {"ref": "jihlopez/forkbyjihlopez030619", "kernel_id": "910084"}, {"ref": "jihlopez/fork-of-fork-of-fork-of-fork-of-titanic-survival-p", "kernel_id": "909037"}, {"ref": "jihlopez/fork-of-fork-of-fork-of-titanic-survival-predictio", "kernel_id": "908651"}, {"ref": "jihlopez/fork-of-fork-of-titanic-survival-predictions-begi", "kernel_id": "905676"}, {"ref": "jihlopez/fork-of-fork-of-titanic-survival-prediction-ebce4b", "kernel_id": "905699"}, {"ref": "brotkruemels/notebook39df282477", "kernel_id": "252511"}, {"ref": "brotkruemels/notebook2450df0b09", "kernel_id": "252514"}, {"ref": "arielyh/titanic-data-science-solutions-801bc7", "kernel_id": "256206"}, {"ref": "kingselta/titanic-in-r", "kernel_id": "270128"}, {"ref": "lanmao/notebook44099a0f78", "kernel_id": "253074"}, {"ref": "parallaxion/practicing-pandas-for-ds-titanic-problem", "kernel_id": "252541"}, {"ref": "eyalasko/notebook8b8d93d3ea", "kernel_id": "261896"}, {"ref": "newbie2017/0-808-with-simple-stacking", "kernel_id": "263038"}, {"ref": "nivedithab/notebook186dd7781f", "kernel_id": "252674"}, {"ref": "slepik/notebook1c0f88c885", "kernel_id": "252676"}, {"ref": "varshneydevansh/titanic", "kernel_id": "751925"}, {"ref": "hvarday1/an-interactive-data-science-tutorial-1204cf", "kernel_id": "252742"}, {"ref": "pete2881/titanic-exploratory-analysis", "kernel_id": "290709"}, {"ref": "mrgnth/titanic-first-steps", "kernel_id": "254068"}, {"ref": "mrgnth/titanic-data-science-solutions", "kernel_id": "254810"}, {"ref": "flxlabelle/experimentation-on-the-titanic-dataset", "kernel_id": "265952"}, {"ref": "dai1314/20170510", "kernel_id": "252798"}, {"ref": "dmitrykonovalov/titanic-data-science-solutions", "kernel_id": "254191"}, {"ref": "lewismenelaws/did-the-titanic-people-survive", "kernel_id": "255025"}, {"ref": "gh0sty/titanic-data-science-solutions", "kernel_id": "252892"}, {"ref": "jos0007/notebookd879de4e38", "kernel_id": "268853"}, {"ref": "komais/for-lt", "kernel_id": "252908"}, {"ref": "handychandra7/notebookfe82b8b6ec", "kernel_id": "259815"}, {"ref": "handychandra7/notebook118c671aaf", "kernel_id": "259809"}, {"ref": "adj2908/titanic-data-science-solutions", "kernel_id": "252938"}, {"ref": "venkatko/titanic-survival1", "kernel_id": "253315"}, {"ref": "venkatko/titanic-survival", "kernel_id": "252988"}, {"ref": "datanam/introduction-to-titanic", "kernel_id": "812659"}, {"ref": "a56wx0kbvwu/notebooka4f4b5aee3", "kernel_id": "260504"}, {"ref": "a56wx0kbvwu/abcdti", "kernel_id": "253076"}, {"ref": "jackwk/notebook564a19a762", "kernel_id": "253073"}, {"ref": "jackwk/notebookdee07cd809", "kernel_id": "253097"}, {"ref": "alladinian/notebook0506027e5f", "kernel_id": "253090"}, {"ref": "johhnybravo/deep-shit-titanic", "kernel_id": "978653"}, {"ref": "ldethanhoffer/titanic", "kernel_id": "316014"}, {"ref": "toosrimpeldoos/i-ll-survive", "kernel_id": "253141"}, {"ref": "sumer96/notebook535c227229", "kernel_id": "258930"}, {"ref": "posporus/notebook03e187ebad", "kernel_id": "255312"}, {"ref": "mezzode/scikit-learn-ml-from-start-to-finish", "kernel_id": "253207"}, {"ref": "mezzode/titanic-data-science-solutions-07b043", "kernel_id": "257684"}, {"ref": "mezzode/notebookcacf686081", "kernel_id": "261048"}, {"ref": "oguejioforchibueze/notebookdf3ed64345", "kernel_id": "341185"}, {"ref": "oguejioforchibueze/notebook5ce92acd9d", "kernel_id": "341188"}, {"ref": "oguejioforchibueze/hyperparameter-tuning-of-randomforest-classifier", "kernel_id": "341193"}, {"ref": "oguejioforchibueze/notebooka1ec8f75c1", "kernel_id": "297309"}, {"ref": "tongwu2/notebookc5c0c1ea5b", "kernel_id": "253189"}, {"ref": "tongwu2/notebook8e91be8887", "kernel_id": "253187"}, {"ref": "kelvem/an-interactive-data-science-tutorial", "kernel_id": "256829"}, {"ref": "fat0ss/titanic", "kernel_id": "253373"}, {"ref": "derbin/notebook81378b1018", "kernel_id": "255899"}, {"ref": "phantlantis/titanic-data-science-solutions", "kernel_id": "253408"}, {"ref": "gmgarrison/how-to-kaggle-1-titanic-survival-prediction", "kernel_id": "254799"}, {"ref": "shivbidani/taitanic-xgboost", "kernel_id": "253403"}, {"ref": "brycheiniog/titanic-tutorial", "kernel_id": "253432"}, {"ref": "yifengzeng/notebookc62d5cf2f7", "kernel_id": "273908"}, {"ref": "surajk610/notebookc30528475f", "kernel_id": "253523"}, {"ref": "lrn2prgrm/titanicbabysteps", "kernel_id": "253534"}, {"ref": "kaizokuace/titanic-competition-notebook", "kernel_id": "253529"}, {"ref": "zerocool409/zerocool", "kernel_id": "253560"}, {"ref": "crystaliu/titanic-data-analytics-project", "kernel_id": "535090"}, {"ref": "crystaliu/titanic-data-analytics", "kernel_id": "535107"}, {"ref": "crystaliu/titanic-survival-analytics", "kernel_id": "535120"}, {"ref": "seshadrikolluri/predicting-survival-on-titanic", "kernel_id": "516120"}, {"ref": "saravrkrish89/notebookcf5ea82115", "kernel_id": "253719"}, {"ref": "saravrkrish89/titanic-dataset", "kernel_id": "256056"}, {"ref": "arumata/titanic", "kernel_id": "253709"}, {"ref": "yuchiyama/prediction-by-svm", "kernel_id": "294090"}, {"ref": "shep312/applying-lightgbm-to-titanic-dataset", "kernel_id": "467379"}, {"ref": "kagglesteh/notebook0e7c0be9be", "kernel_id": "253768"}, {"ref": "lhong8/notebook228b1eb1d1", "kernel_id": "261346"}, {"ref": "steventsai100/hello-kernel", "kernel_id": "255867"}, {"ref": "steventsai100/notebook38455b53a6", "kernel_id": "255861"}, {"ref": "steventsai100/notebook9d7400c49e", "kernel_id": "259386"}, {"ref": "manav94/notebooka0d3c9afc0", "kernel_id": "255350"}, {"ref": "pcjimmmy/an-interactive-data-science-tutorial", "kernel_id": "269445"}, {"ref": "praseodym/titanic-tensorflow", "kernel_id": "254039"}, {"ref": "ashufet/titanic-survival-prediction-using-python", "kernel_id": "255190"}, {"ref": "ashufet/titanic-data-science-solutions", "kernel_id": "256278"}, {"ref": "ashufet/a-journey-through-titanic", "kernel_id": "256812"}, {"ref": "khankuan/notebookd022cc87e0", "kernel_id": "254990"}, {"ref": "archinul/titanic-logistic-regression", "kernel_id": "260516"}, {"ref": "dweekly/notebookf52e04355e", "kernel_id": "254244"}, {"ref": "cferthworth/notebook96baa0e43f", "kernel_id": "254050"}, {"ref": "peterrupprecht/titanic-data-science-solutions", "kernel_id": "254065"}, {"ref": "dataygun/let-s-run", "kernel_id": "263258"}, {"ref": "qnoboe/notebooke90dbda6a6", "kernel_id": "254200"}, {"ref": "ellams/notebooka916fdca05", "kernel_id": "254176"}, {"ref": "thomas890/notebook2849c9d3aa", "kernel_id": "254576"}, {"ref": "virendranath/notebook0df1e34199", "kernel_id": "254312"}, {"ref": "muyulin/pytanic", "kernel_id": "276710"}, {"ref": "muyulin/starting", "kernel_id": "276681"}, {"ref": "lucask42/lucask42-survival-predictor", "kernel_id": "254345"}, {"ref": "chenghiz/titanic-data-science-solutions", "kernel_id": "254363"}, {"ref": "chenghiz/notebook979af12f29", "kernel_id": "254396"}, {"ref": "chenghiz/notebook44844e9cbe", "kernel_id": "255095"}, {"ref": "chenghiz/notebook6867494ab5", "kernel_id": "255096"}, {"ref": "personalc/notebooke1c8a032ee", "kernel_id": "271967"}, {"ref": "pantouphles/titanic-tutorial-first-experiment", "kernel_id": "273576"}, {"ref": "francoisdrielsma/testanic", "kernel_id": "254486"}, {"ref": "migao006/notebook3c8a895b08", "kernel_id": "280637"}, {"ref": "migao006/an-interactive-data-science-tutorial-fee69d", "kernel_id": "280640"}, {"ref": "iseryanxie/notebookea1936c0b3", "kernel_id": "254504"}, {"ref": "kaisthi/exploring-survival", "kernel_id": "254570"}, {"ref": "sabdrat/ash-test-sql", "kernel_id": "254658"}, {"ref": "xinancsd/titanic-eda-using-speedml", "kernel_id": "254943"}, {"ref": "bosichen/first", "kernel_id": "254577"}, {"ref": "brandonium21/notebookc77a211481", "kernel_id": "254599"}, {"ref": "davidgr/learning-how-to-kaggle", "kernel_id": "254638"}, {"ref": "maroba/notebookac752afefa", "kernel_id": "254696"}, {"ref": "shengjzh/titanic-rf-prediction-0-81818-python", "kernel_id": "263751"}, {"ref": "jorgesmu/test-kernel", "kernel_id": "254714"}, {"ref": "chen2365/notebook723c498026", "kernel_id": "254740"}, {"ref": "malikkasmi/1st-project", "kernel_id": "254795"}, {"ref": "mbelkhei/notebook50cff72e6e", "kernel_id": "256251"}, {"ref": "firoz26/rf-model-generalized-r-code", "kernel_id": "259180"}, {"ref": "tobybot11/toby-s-titanic-analysis", "kernel_id": "260031"}, {"ref": "yangzy/deleted", "kernel_id": "254930"}, {"ref": "lhtrieu87/notebook992693f40b", "kernel_id": "255781"}, {"ref": "mathjason/my-first-kaggle-project", "kernel_id": "259128"}, {"ref": "mathjason/testing-markdown-download-upload", "kernel_id": "263266"}, {"ref": "gjz2016011362/main-py", "kernel_id": "265370"}, {"ref": "mstudenets/notebook5d3e4df7ae", "kernel_id": "255035"}, {"ref": "realprio/titanic-random-forest-82-78", "kernel_id": "270859"}, {"ref": "liuchaofei/notebook84b7dd3a04", "kernel_id": "255161"}, {"ref": "sourav12245/notebookceed068357", "kernel_id": "255137"}, {"ref": "sourav12245/notebook542f336249", "kernel_id": "255880"}, {"ref": "sourav12245/notebook74ae48c85c", "kernel_id": "270424"}, {"ref": "sourav12245/titanic-best", "kernel_id": "278479"}, {"ref": "madhu367/notebooke5ac9be3bb", "kernel_id": "269175"}, {"ref": "stillmotion/notebook77c736c424", "kernel_id": "258207"}, {"ref": "ionutmihai/tensorflow-basic-implementation", "kernel_id": "420158"}, {"ref": "pengelinliu/exploring-survival-on-the-titanic-peng", "kernel_id": "264912"}, {"ref": "pengelinliu/titanic-working-classifier", "kernel_id": "259104"}, {"ref": "akashiitd1995/myfirst", "kernel_id": "255272"}, {"ref": "ca3295/breaking-0-8-in-python", "kernel_id": "353138"}, {"ref": "aradhana/example", "kernel_id": "271302"}, {"ref": "daxin007/titanic-data-science-solutions", "kernel_id": "264327"}, {"ref": "billwhiteley/0-808-with-simple-stacking", "kernel_id": "263075"}, {"ref": "jainamit333/titanic-prediction-using-miniflow", "kernel_id": "290985"}, {"ref": "kcostya/titanic-simple-decision-tree-classifier", "kernel_id": "683661"}, {"ref": "gstrunk/can-t-we-share-the-door", "kernel_id": "270877"}, {"ref": "scanaran/intro", "kernel_id": "255548"}, {"ref": "blank1/testing", "kernel_id": "299124"}, {"ref": "lars0f/titanic-survival", "kernel_id": "255590"}, {"ref": "lars0f/notebook82921c41fc", "kernel_id": "255587"}, {"ref": "mfolusiak/myheartwillgoon", "kernel_id": "261780"}, {"ref": "alanskong/notebook519fb7ef8c", "kernel_id": "255716"}, {"ref": "mkcedward/notebookc5a59ebd9d", "kernel_id": "257336"}, {"ref": "bofire/notebook2237f57f1c", "kernel_id": "259479"}, {"ref": "junnan/titanic-j", "kernel_id": "255811"}, {"ref": "junnan/junnan-1-titanic", "kernel_id": "255807"}, {"ref": "invictus17/notebookc2d287b69f", "kernel_id": "256586"}, {"ref": "invictus17/kaggle-titanic", "kernel_id": "261293"}, {"ref": "arifuzzamanfaisal/titanic-machine-learning-from-disaster", "kernel_id": "257516"}, {"ref": "patsomaru/notebook7b8f18c0b3", "kernel_id": "255889"}, {"ref": "atomiciceman/helloworld", "kernel_id": "258496"}, {"ref": "gourment/titanic-data-science-solutions-standard-process", "kernel_id": "255923"}, {"ref": "cchaow/an-interactive-data-science-tutorial", "kernel_id": "264096"}, {"ref": "cchaow/notebookff784a3cbd", "kernel_id": "269752"}, {"ref": "jiangxiam/introduction-to-ensembling-stacking-in-python", "kernel_id": "265342"}, {"ref": "jiangxiam/the-learning-of-journey-through-titanic", "kernel_id": "271270"}, {"ref": "shivank98/a-notebook-for-very-beginners", "kernel_id": "331337"}, {"ref": "ishanvaid/notebook66fae336e6", "kernel_id": "256055"}, {"ref": "igagansingh/titanic-machine-learning-from-disaster", "kernel_id": "256105"}, {"ref": "yiqingyang/titanic-try-ensemble", "kernel_id": "536234"}, {"ref": "dalonlobo/introduction-to-ensembling-stacking-in-python", "kernel_id": "369754"}, {"ref": "marinar/notebookbae1a05df1", "kernel_id": "256852"}, {"ref": "sayanimaiti/notebookfba6570924", "kernel_id": "272429"}, {"ref": "sayanimaiti/notebookdc169b3613", "kernel_id": "276078"}, {"ref": "maysonnave/scikit-learn-ml-from-start-to-finish", "kernel_id": "256188"}, {"ref": "sangeevs/titanictrial", "kernel_id": "311518"}, {"ref": "davidze/notebookc2371586e6", "kernel_id": "261572"}, {"ref": "chez8990/chester-s-solution", "kernel_id": "256997"}, {"ref": "mattah/titanic", "kernel_id": "256286"}, {"ref": "mattah/1stattempt", "kernel_id": "261429"}, {"ref": "bootra/notebook16b4e6a449", "kernel_id": "258193"}, {"ref": "ken5scal/first-kernel", "kernel_id": "972581"}, {"ref": "ken5scal/tutorial-kernel", "kernel_id": "973343"}, {"ref": "kevmccullough/79-4-accuracy-demonstrating-multiple-algorithms", "kernel_id": "263569"}, {"ref": "shimaimani/notebooke58237d494", "kernel_id": "256434"}, {"ref": "shimaimani/notebook8cd87ba49c", "kernel_id": "256435"}, {"ref": "arolswap/notebook7fe385cfdd", "kernel_id": "256335"}, {"ref": "marlesson/titanic-ms", "kernel_id": "268296"}, {"ref": "sparktian/firsttest", "kernel_id": "259987"}, {"ref": "sparktian/notebookbbeea3a500", "kernel_id": "260547"}, {"ref": "hojoonlee/notebook2ba73eeb15", "kernel_id": "257498"}, {"ref": "hojoonlee/notebook1214a75ce4", "kernel_id": "257499"}, {"ref": "mingwenqin/titanic-test", "kernel_id": "265257"}, {"ref": "wintermutestoothache/notebook19312cad9c", "kernel_id": "256522"}, {"ref": "nitinsingla/titanic-data-science-solutions", "kernel_id": "264736"}, {"ref": "yoonsikp/notebook02c0849cfc", "kernel_id": "257062"}, {"ref": "tsayers/notebookb088f483f1", "kernel_id": "256631"}, {"ref": "bfaeuster/notebook010b7a4273", "kernel_id": "256735"}, {"ref": "bikashg3/an-interactive-data-science-tutorial", "kernel_id": "280472"}, {"ref": "andrew32bit/titanic-in-process", "kernel_id": "271308"}, {"ref": "frederikh/12-500-feet-under-the-sea", "kernel_id": "382616"}, {"ref": "man0jm/deleted", "kernel_id": "256727"}, {"ref": "man0jm/titanic-data-science-solutions", "kernel_id": "256814"}, {"ref": "man0jm/scikit-learn-ml-from-start-to-finish-ebeb3d", "kernel_id": "256929"}, {"ref": "nanosankar/notebook493cd1fef4", "kernel_id": "257381"}, {"ref": "angelachou100123/titanic-exploring-passengers-profile", "kernel_id": "260592"}, {"ref": "airwing/pytanic-to-learn", "kernel_id": "268921"}, {"ref": "syedsufiyan/notebook4e6cbfe5de", "kernel_id": "256853"}, {"ref": "darshanlopes/titanic-data-science-solutions", "kernel_id": "256872"}, {"ref": "nderimx/learning-titanic-data-science-solutions-notebook", "kernel_id": "264002"}, {"ref": "reetep/an-interactive-data-science-tutorial", "kernel_id": "277076"}, {"ref": "haeusi/titanic-data-science-solutions", "kernel_id": "258194"}, {"ref": "haeusi/notebook917e2d6364", "kernel_id": "256942"}, {"ref": "ricardosoares/an-interactive-data-science-tutorial", "kernel_id": "256978"}, {"ref": "ybelsare/notebook16101856ad", "kernel_id": "256976"}, {"ref": "rpastorvargas/kaggle-test", "kernel_id": "257008"}, {"ref": "podobnaia/titanic-problem-exploring-a-kernel", "kernel_id": "258817"}, {"ref": "irbbrain/notebook25b1739dd7", "kernel_id": "257080"}, {"ref": "grayrat/notebookd021829558", "kernel_id": "268952"}, {"ref": "grayrat/scripting-a-model-from-knime-workflow-to-python", "kernel_id": "278936"}, {"ref": "capablemonkey/a-concise-survey-of-various-learners", "kernel_id": "447091"}, {"ref": "aminehakkou/titanic-sruvivors-nn", "kernel_id": "528910"}, {"ref": "bloodymosquito/notebookc0d48ed497", "kernel_id": "257186"}, {"ref": "egermano/teste", "kernel_id": "257190"}, {"ref": "nitesh4146/notebook8df33c7c98", "kernel_id": "257369"}, {"ref": "jackellz/notebook68d71e09a4", "kernel_id": "259839"}, {"ref": "merckel/rf-forward-feat-select-grid-search-0-81818", "kernel_id": "290685"}, {"ref": "merckel/diabolo-trick-pre-train-train-and-solve-0-8", "kernel_id": "290871"}, {"ref": "jdelaney/notebook479fe9da32", "kernel_id": "272770"}, {"ref": "fickleone/notebookb038fd1a12", "kernel_id": "261860"}, {"ref": "fickleone/9a407660-9fef-3107-9d4f-c0562132c13c", "kernel_id": "260561"}, {"ref": "s1hilpa/notebook3fb512b206", "kernel_id": "257414"}, {"ref": "flat2010/titanictest", "kernel_id": "257595"}, {"ref": "jayahn/tutorial", "kernel_id": "257365"}, {"ref": "javasparrow/notebook5e67cdfb76", "kernel_id": "257423"}, {"ref": "sebastiantop/notebook93c0a919e4", "kernel_id": "257724"}, {"ref": "gullu73/novice-attempt", "kernel_id": "276704"}, {"ref": "motoshima1150/kernelb1c049eccf", "kernel_id": "677009"}, {"ref": "gmj12345/notebook8dcba36c3f", "kernel_id": "257736"}, {"ref": "frubble5/firsttry", "kernel_id": "257754"}, {"ref": "frubble5/notebook7b4aae4d2f", "kernel_id": "257755"}, {"ref": "snehajyoti/notebookb90c68d405", "kernel_id": "276446"}, {"ref": "bpriya/titanickernel", "kernel_id": "257762"}, {"ref": "orange90/titanic-data-science-solutions-copy", "kernel_id": "278328"}, {"ref": "orange90/an-interactive-data-science-tutorial-copy", "kernel_id": "277400"}, {"ref": "h1607094148/notebook7d3ba7add0", "kernel_id": "275145"}, {"ref": "rpiwetz/titanic-survival-prediction", "kernel_id": "257832"}, {"ref": "mounier/my-titanic-kaggle", "kernel_id": "273616"}, {"ref": "bambelle/notebook51cb0d5d9a", "kernel_id": "273380"}, {"ref": "bambelle/notebook4468fc01c6", "kernel_id": "272328"}, {"ref": "lukasms/notebook723f5923d9", "kernel_id": "276949"}, {"ref": "jcleivas/naive-bayes-titanic", "kernel_id": "259220"}, {"ref": "shubham808/titanic-data-science-solutions", "kernel_id": "257961"}, {"ref": "chalarao1492/notebook759c371d81", "kernel_id": "257970"}, {"ref": "samruda/notebookc9a0c5a2cf", "kernel_id": "257992"}, {"ref": "mattcarter865/titanic", "kernel_id": "268648"}, {"ref": "jjoseja/notebook8e315fcd4b", "kernel_id": "257999"}, {"ref": "brunoscheibler/titanic-survival-exhaustive-statistical-approach", "kernel_id": "855775"}, {"ref": "kemaltulum/notebookeb4ef9a595", "kernel_id": "258653"}, {"ref": "joey674/notebookb92942e36d", "kernel_id": "258126"}, {"ref": "georgechou/notebook0db0c0568f", "kernel_id": "258642"}, {"ref": "harshitssj4/titanic-best-working-classifier", "kernel_id": "298807"}, {"ref": "msaito/pytanix", "kernel_id": "258279"}, {"ref": "mj5680/pytanic", "kernel_id": "264463"}, {"ref": "akarjal2/notebookac112d9985", "kernel_id": "258352"}, {"ref": "pradeepsaiu/notebookebc41634ba", "kernel_id": "259798"}, {"ref": "dabare/notebookff7570e729", "kernel_id": "258432"}, {"ref": "changuito/notebook2caba5545b", "kernel_id": "271602"}, {"ref": "bhavaniravi/naviebayes-preprocessing-py", "kernel_id": "258463"}, {"ref": "pinous/test-titanic-v2-5", "kernel_id": "270361"}, {"ref": "pinous/fork-of-test-titanic-v2-2", "kernel_id": "270508"}, {"ref": "zuegmatic/mytitanic", "kernel_id": "258526"}, {"ref": "dm2max/fork-of-titanic-data-science-solutions-1cd208", "kernel_id": "259996"}, {"ref": "dm2max/titanic-data-science-solutions-1cd208", "kernel_id": "259083"}, {"ref": "dm2max/fork-of-pytanic-e006d2", "kernel_id": "279174"}, {"ref": "dm2max/pytanic-e006d2", "kernel_id": "270781"}, {"ref": "taozhuo/notebook051dc19b12", "kernel_id": "264416"}, {"ref": "puthham/titanic", "kernel_id": "260005"}, {"ref": "shensh/a-journey-through-titanic-b043f6", "kernel_id": "264910"}, {"ref": "shensh/notebookf39e4ca858", "kernel_id": "258625"}, {"ref": "shensh/shenshihai", "kernel_id": "258626"}, {"ref": "dannybit/titanic", "kernel_id": "263312"}, {"ref": "pranav1997/first", "kernel_id": "258628"}, {"ref": "dynaturtle/titanic-data-mining", "kernel_id": "259698"}, {"ref": "larsludwig/scikit-learn-ml-from-start-to-finish", "kernel_id": "258750"}, {"ref": "iamkunkun/notebook960eb92a68", "kernel_id": "258774"}, {"ref": "surya2191997/notebookfb19f57d0b", "kernel_id": "258795"}, {"ref": "irishhu/1-titanic", "kernel_id": "258804"}, {"ref": "aishwini/notebook3e0e237eea", "kernel_id": "262601"}, {"ref": "aishwini/notebookac2e7939d7", "kernel_id": "262602"}, {"ref": "shushi/notebook7c28623d8a", "kernel_id": "545915"}, {"ref": "bgibson56/titanic-attempt", "kernel_id": "260647"}, {"ref": "juancr/titanic-prediction-challenge", "kernel_id": "272756"}, {"ref": "thomas236/titanic-survival-ts", "kernel_id": "258858"}, {"ref": "richrich/titanic-data-science-solutions", "kernel_id": "258848"}, {"ref": "umairhaider/pytanic-using-gradient-booster", "kernel_id": "269834"}, {"ref": "irfan434/notebookaf538b12da", "kernel_id": "258905"}, {"ref": "ailuropus/extracting-family-relationships-on-titanic-sibsp", "kernel_id": "258965"}, {"ref": "liuzhongwei/titanic-zliu", "kernel_id": "258898"}, {"ref": "leboson/notebook67f108f635", "kernel_id": "260673"}, {"ref": "etiennedumoulin/notebook0cd4c6a13b", "kernel_id": "258982"}, {"ref": "etiennedumoulin/notebook56ae84b206", "kernel_id": "259159"}, {"ref": "etiennedumoulin/notebook3ceebb0780", "kernel_id": "259121"}, {"ref": "etiennedumoulin/notebook30afe526fd", "kernel_id": "260785"}, {"ref": "etiennedumoulin/notebookde9d55f2f4", "kernel_id": "262396"}, {"ref": "etiennedumoulin/s-tbicastu", "kernel_id": "262435"}, {"ref": "etiennedumoulin/notebook7298bfeecd", "kernel_id": "261564"}, {"ref": "etiennedumoulin/titanic-simple-intro-with-r", "kernel_id": "263384"}, {"ref": "jdiamond/titles", "kernel_id": "270015"}, {"ref": "waseefakhtar/titanic-with-svc", "kernel_id": "269962"}, {"ref": "waseefakhtar/solving-titanic", "kernel_id": "268867"}, {"ref": "waseefakhtar/notebookfda7b0bf99", "kernel_id": "267512"}, {"ref": "kapkla/notebook560ccc5a63", "kernel_id": "261243"}, {"ref": "tomstan/titanic-quest", "kernel_id": "276045"}, {"ref": "millansanchez/titanic-kaggle-competition-first-attempt", "kernel_id": "283344"}, {"ref": "michaelpkasa/notebook90676d422d", "kernel_id": "269392"}, {"ref": "baoblackcoal/fork-of-test-kernel-2222f8", "kernel_id": "267771"}, {"ref": "baoblackcoal/test-kernel", "kernel_id": "266097"}, {"ref": "baoblackcoal/exploratory-tutorial-titanic-disaster", "kernel_id": "277780"}, {"ref": "sijiew/notebook7d02322f1f", "kernel_id": "265113"}, {"ref": "sijiew/notebookd470860afd", "kernel_id": "263192"}, {"ref": "claudiovalim/pytanic", "kernel_id": "276081"}, {"ref": "wilian746/titanic-aula1", "kernel_id": "712984"}, {"ref": "wilian746/fork-of-titanic-aula1", "kernel_id": "814638"}, {"ref": "shahao/notebookd7149fafeb", "kernel_id": "260032"}, {"ref": "siryog90/titanic-data-science-solutions", "kernel_id": "259243"}, {"ref": "markdsea/notebooka2d08e01e9", "kernel_id": "259214"}, {"ref": "markdsea/notebook4df993e6e4", "kernel_id": "259215"}, {"ref": "stanlaw/notebookbb1b78e967", "kernel_id": "262766"}, {"ref": "mup05ro/notebook2fe4e18e6e", "kernel_id": "259273"}, {"ref": "mup05ro/notebooka3044b4ae1", "kernel_id": "259274"}, {"ref": "mup05ro/notebookc89ceaeaab", "kernel_id": "259276"}, {"ref": "jananikrishnamoorthy/titanic", "kernel_id": "259316"}, {"ref": "michaelrosello/notebook7a45c4660f", "kernel_id": "259332"}, {"ref": "mguo123/titanic-data-science-solutions", "kernel_id": "259320"}, {"ref": "jamiepontigon/titanic1", "kernel_id": "259363"}, {"ref": "jillas/sample-kernel-code", "kernel_id": "899882"}, {"ref": "aviroop123/notebook7a55d95fd2", "kernel_id": "259545"}, {"ref": "aviroop123/notebook8a2b11cc1f", "kernel_id": "259546"}, {"ref": "mreimbold/titanic-data-science-solutions", "kernel_id": "259724"}, {"ref": "oeahrluyao/titanic-model", "kernel_id": "267144"}, {"ref": "max999/titanic-work-with-features", "kernel_id": "285230"}, {"ref": "max999/different-models-for-titanic", "kernel_id": "297170"}, {"ref": "fhersi/exploring-survival-on-the-titanic", "kernel_id": "259733"}, {"ref": "ricostynha/notebook38f0e142f8", "kernel_id": "264707"}, {"ref": "ricostynha/notebooka581ec61ea", "kernel_id": "264715"}, {"ref": "blazejk/notebook522c168f81", "kernel_id": "259538"}, {"ref": "blazejk/notebookc59932fb83", "kernel_id": "259541"}, {"ref": "karan1276/an-interactive-data-science-tutorial", "kernel_id": "312715"}, {"ref": "karan1276/titanic-by-noobs", "kernel_id": "310769"}, {"ref": "kowler/exploring-survival-on-the-titanic", "kernel_id": "273479"}, {"ref": "lohrmann/notebook4a72ecee20", "kernel_id": "259645"}, {"ref": "corytu/my-first-attempt-with-decision-tree", "kernel_id": "281148"}, {"ref": "rucarden/testing", "kernel_id": "259663"}, {"ref": "fgruel/notebookaebbbd503a", "kernel_id": "259659"}, {"ref": "jarngreipr/notebookbcb78f9035", "kernel_id": "259691"}, {"ref": "kulamr/titanic-ml", "kernel_id": "263063"}, {"ref": "septeon/test1", "kernel_id": "259831"}, {"ref": "autofocus598/notebook17b080dca4", "kernel_id": "259835"}, {"ref": "lrosique/titanic-v1", "kernel_id": "262062"}, {"ref": "jcherny/notebook49ed582560", "kernel_id": "259865"}, {"ref": "juliebehappy/notebookcdc258e313", "kernel_id": "259873"}, {"ref": "uzhr39/myfirstkernel", "kernel_id": "270714"}, {"ref": "ltling/notebookce8a5b1a6f", "kernel_id": "259952"}, {"ref": "bbrandt/titanic-different-model-comparison", "kernel_id": "260755"}, {"ref": "jamyspex/notebook80e702ba10", "kernel_id": "260636"}, {"ref": "kamalkraj/notebook585a0f9b94", "kernel_id": "261566"}, {"ref": "gcoulombe/greg-s-titanic-notebook", "kernel_id": "267746"}, {"ref": "mattfred/titanictest", "kernel_id": "260003"}, {"ref": "juzapt/first-kernel-working-with-titanic-dataset", "kernel_id": "458130"}, {"ref": "gbxiao/pytanic", "kernel_id": "266935"}, {"ref": "happyhongzhaji/1-titanic", "kernel_id": "260908"}, {"ref": "raghav98/notebook2800438134", "kernel_id": "260229"}, {"ref": "hongruiwang/notebooke8ca55c797", "kernel_id": "260257"}, {"ref": "anthonywakulicz/pytanic", "kernel_id": "264517"}, {"ref": "elcorso/titanic-1st-kernel", "kernel_id": "269729"}, {"ref": "elcorso/notebookdc45beb533", "kernel_id": "269746"}, {"ref": "naokomada/titanic", "kernel_id": "261102"}, {"ref": "lalgaurav/exploring-survival-on-the-titanic", "kernel_id": "260448"}, {"ref": "onokles/an-interactive-data-science-tutorial", "kernel_id": "260432"}, {"ref": "dhruvalways/titanic", "kernel_id": "260450"}, {"ref": "xrjrunning/titanic-data-science-solutions", "kernel_id": "260470"}, {"ref": "yunsikchoi/boaz-yunsik", "kernel_id": "686084"}, {"ref": "hiranyajaya/notebook2ef0340bb1", "kernel_id": "263360"}, {"ref": "riversong3/notebook2d326bdae0", "kernel_id": "260533"}, {"ref": "bumbshital/an-interactive-data-science-tutorial-2bd0b4", "kernel_id": "271382"}, {"ref": "ankmidh/first-trial", "kernel_id": "260968"}, {"ref": "pcnavyfly08/first-trial", "kernel_id": "260702"}, {"ref": "nicholasgarcia94/notebooke46e1c81c9", "kernel_id": "260626"}, {"ref": "sravanmalla1992/titanic-dataset-python", "kernel_id": "260682"}, {"ref": "juanumusic/titanic", "kernel_id": "260670"}, {"ref": "juanumusic/titanic-competition", "kernel_id": "347018"}, {"ref": "mweber4/testing-titanic", "kernel_id": "260675"}, {"ref": "abhisat/notebookac62010661", "kernel_id": "260739"}, {"ref": "lulunz/predictive-analysis-of-survival-rate-on-titanic", "kernel_id": "283823"}, {"ref": "enginaybey/titanic-data-science-solutions", "kernel_id": "273848"}, {"ref": "enginaybey/titanic-data-science-solutions-aa8012", "kernel_id": "274337"}, {"ref": "gelihappy/exploring-survival-on-the-titanic", "kernel_id": "276019"}, {"ref": "zlucky/notebook8ddb16fcd3", "kernel_id": "272224"}, {"ref": "dsholes/notebook4860801071", "kernel_id": "260931"}, {"ref": "pengyuanbo/notebookc01c495552", "kernel_id": "260944"}, {"ref": "pengyuanbo/my-kaggle-toy", "kernel_id": "261970"}, {"ref": "dayaffe/titanic-yaffe-model", "kernel_id": "261654"}, {"ref": "robinren/notebook3c2a2a4f15", "kernel_id": "268916"}, {"ref": "robinren/test1", "kernel_id": "268895"}, {"ref": "robinren/notebookf452a14741", "kernel_id": "268901"}, {"ref": "robinren/notebookee93aa3125", "kernel_id": "268891"}, {"ref": "matthewgan/notebook4e105ffef8", "kernel_id": "277820"}, {"ref": "evanderkao/exploring-survival-on-the-titanic", "kernel_id": "261040"}, {"ref": "flaviozamponi/notebookacf2fb107c", "kernel_id": "261063"}, {"ref": "flaviozamponi/titanic-data-science-solutions", "kernel_id": "261082"}, {"ref": "yuwailaifeng/titanic", "kernel_id": "261807"}, {"ref": "reneiw/notebooke460627c50", "kernel_id": "261105"}, {"ref": "aditya91/notebook5748b4baa4", "kernel_id": "276573"}, {"ref": "aditya91/notebook7b2b53fa59", "kernel_id": "278460"}, {"ref": "aditya91/notebookb6ada15c51", "kernel_id": "261805"}, {"ref": "hiramalik/an-interactive-data-science-tutorial-2e418d", "kernel_id": "261211"}, {"ref": "hiramalik/scikit-learn-ml-from-start-to-finish", "kernel_id": "266184"}, {"ref": "tobiassl/titanic-tutorial-notebook", "kernel_id": "261240"}, {"ref": "tobiassl/titanic-tutorial-notebook-tl", "kernel_id": "261242"}, {"ref": "cwinsor/notebook44fadb94f5", "kernel_id": "261268"}, {"ref": "sambhav2612/titanic-data-science-solutions", "kernel_id": "263953"}, {"ref": "soenkeeilers/titanic-notebook", "kernel_id": "261334"}, {"ref": "linmarvin/notebook5bdb0441f0", "kernel_id": "261629"}, {"ref": "linmarvin/notebooke261d2f067", "kernel_id": "271860"}, {"ref": "gregmp75/test-greg-titanic", "kernel_id": "261373"}, {"ref": "gregmp75/titanic-data-science-solutions", "kernel_id": "261367"}, {"ref": "benjaatu/benja", "kernel_id": "261425"}, {"ref": "cjfowler93/intro-to-machine-learning-with-titanic-survival", "kernel_id": "291380"}, {"ref": "daodao32/random-forest-prediction-of-titanic", "kernel_id": "295643"}, {"ref": "daodao32/fork-of-random-forest-prediction-of-titanic", "kernel_id": "296306"}, {"ref": "daodao32/logistic-regression-for-titanic-dataset", "kernel_id": "296169"}, {"ref": "daodao32/decision-tree-roc-curve", "kernel_id": "740738"}, {"ref": "akeshari/titanic-machine-learning-from-disaster", "kernel_id": "261883"}, {"ref": "cheng187/first-machine-learning", "kernel_id": "261578"}, {"ref": "lboshuizen/notebook1410de34f5", "kernel_id": "262286"}, {"ref": "lucky1995/titanic-data", "kernel_id": "267238"}, {"ref": "lhfaguiar/primeira-tentativa", "kernel_id": "264913"}, {"ref": "dataset1234/practice", "kernel_id": "261816"}, {"ref": "daguer/notebook95d1d315c5", "kernel_id": "270503"}, {"ref": "daguer/beginner-tutorial-using-votingclassifier-82-27", "kernel_id": "355019"}, {"ref": "aparnal/titanic-machine-learning-from-disaster-using-py", "kernel_id": "280235"}, {"ref": "aparnal/titanic-votingclassifier-using-py", "kernel_id": "280360"}, {"ref": "romanslaap/notebook3e490a15b1", "kernel_id": "262054"}, {"ref": "alexml/passengers-survival-prediction", "kernel_id": "268669"}, {"ref": "alexml/passengers-survival", "kernel_id": "268672"}, {"ref": "vhsoares/notebook6c968b2eb7", "kernel_id": "262129"}, {"ref": "philly279/an-interactive-data-science-tutorial", "kernel_id": "262180"}, {"ref": "philly279/notebook2c35fa6c93", "kernel_id": "262978"}, {"ref": "philly279/titanicai", "kernel_id": "262670"}, {"ref": "stepman/notebook361f4c28ea", "kernel_id": "262130"}, {"ref": "mattmeister/notebookc9298ea113", "kernel_id": "262278"}, {"ref": "aadityak/notebook8949f3a8a3", "kernel_id": "262163"}, {"ref": "jrcarr/an-interactive-data-science-tutorial", "kernel_id": "262193"}, {"ref": "rmelick/titanic", "kernel_id": "262222"}, {"ref": "rmelick/notebook5b3a317ef5", "kernel_id": "262223"}, {"ref": "rmelick/titanic-notebook-complete", "kernel_id": "262313"}, {"ref": "rmelick/titanic-script", "kernel_id": "262318"}, {"ref": "nghedberg/titanic-test-alpha", "kernel_id": "262359"}, {"ref": "nghedberg/an-interactive-data-science-tutorial", "kernel_id": "265699"}, {"ref": "unfashionable/my-prediction-titanic", "kernel_id": "614898"}, {"ref": "cdatwork/notebook21ab689686", "kernel_id": "266503"}, {"ref": "tiwaryamit/onboard-titanic-top-8", "kernel_id": "370189"}, {"ref": "kushagra391/titanic-data-science-solutions", "kernel_id": "262441"}, {"ref": "gougec/titanic-data-analysis-with-random-forest", "kernel_id": "390084"}, {"ref": "jthom143/notebooka87ed49f30", "kernel_id": "262520"}, {"ref": "jthom143/notebook7ec50a5feb", "kernel_id": "262522"}, {"ref": "usernameecho/notebookb27e0e7a20", "kernel_id": "263404"}, {"ref": "anhqphm/titanic-exploring-survival", "kernel_id": "369591"}, {"ref": "mervynakash/titanic-prediction", "kernel_id": "317349"}, {"ref": "monsterinc/firstprogram", "kernel_id": "262694"}, {"ref": "vendredi218/featureengineering-titanic-procedure", "kernel_id": "727209"}, {"ref": "vendredi218/ensemble-titanic-procedure", "kernel_id": "753230"}, {"ref": "vendredi218/baseline-titanic-procedure", "kernel_id": "756417"}, {"ref": "elixdragon/jbaited", "kernel_id": "262729"}, {"ref": "vikasht34/titanic-rf-prediction-0-81818", "kernel_id": "263531"}, {"ref": "biphasic/an-interactive-data-science-tutorial", "kernel_id": "262818"}, {"ref": "akashvibhute/notebook74ef9e8924", "kernel_id": "263329"}, {"ref": "barbaar/notebook3f2e87041e", "kernel_id": "279759"}, {"ref": "ankitbeniwal/titanic-data-science-solutions", "kernel_id": "262972"}, {"ref": "tdk0371/notebookcecc7ceb79", "kernel_id": "270023"}, {"ref": "tdk0371/notebook7e44c3cb6b", "kernel_id": "266611"}, {"ref": "tdk0371/notebook2f73eda830", "kernel_id": "266689"}, {"ref": "tdk0371/notebook4ebe9f09e9", "kernel_id": "266183"}, {"ref": "tdk0371/survivor-prediction-of-titanic-using-nn", "kernel_id": "273507"}, {"ref": "tdk0371/pytanic", "kernel_id": "280909"}, {"ref": "luigimersico/data-analysis-with-h2o", "kernel_id": "332500"}, {"ref": "laibot/test-this-is-my-title", "kernel_id": "263004"}, {"ref": "shanwizard/exploring-survival-in-titanic-with-decision-trees", "kernel_id": "390920"}, {"ref": "jyhuang/test-titanic", "kernel_id": "274615"}, {"ref": "ksustron/notebook09c6de94c6", "kernel_id": "263124"}, {"ref": "longfin/notebook0ae89c25ec", "kernel_id": "263163"}, {"ref": "icetime/notebook3cfee85c91", "kernel_id": "263198"}, {"ref": "coolrebel/titanic", "kernel_id": "263274"}, {"ref": "chrisbryan88/notebook6819738e11", "kernel_id": "263250"}, {"ref": "willyx/titanic-rf-prediction-0-81818", "kernel_id": "263782"}, {"ref": "nraphael8/titaniccomp", "kernel_id": "265898"}, {"ref": "miglet/predict-survived-from-titanic-disaster", "kernel_id": "372832"}, {"ref": "zsterling/notebook2299f394bc", "kernel_id": "263292"}, {"ref": "gusberinger/intro-to-machine-learning", "kernel_id": "263688"}, {"ref": "swarnimakorde/titanic-data-science-solutions", "kernel_id": "263322"}, {"ref": "stronger/titanic-data-science-solutions", "kernel_id": "263323"}, {"ref": "stronger/scikit-learn-ml-from-start-to-finish", "kernel_id": "268070"}, {"ref": "stronger/an-interactive-data-science-tutorial-2", "kernel_id": "266899"}, {"ref": "leelasd/scikit-learn-ml-from-start-to-finish", "kernel_id": "263397"}, {"ref": "hjazayeri/notebook2719a612c0", "kernel_id": "263419"}, {"ref": "pankaj0306/notebook7ea975156d", "kernel_id": "263574"}, {"ref": "saliho/notebook793abd7afb", "kernel_id": "266506"}, {"ref": "chathurangajayaweera/ranga-s-workbench-r-titanic", "kernel_id": "335129"}, {"ref": "chathurangajayaweera/get-hands-dirty-with-data-i", "kernel_id": "298651"}, {"ref": "rinfinityk/titanic-data-science-solutions", "kernel_id": "263578"}, {"ref": "rinfinityk/notebook9f74361d20", "kernel_id": "266122"}, {"ref": "lperez/titanic-a-deeper-look-on-family-size", "kernel_id": "266407"}, {"ref": "lperez/exploring-survival-on-the-titanic", "kernel_id": "265811"}, {"ref": "lperez/notebookb8eff9a388", "kernel_id": "265813"}, {"ref": "lperez/titanic-logistic-regression-and-svc-optimization", "kernel_id": "294224"}, {"ref": "narasmg/titanic-naras", "kernel_id": "269311"}, {"ref": "foreman3/notebookfb2d31fd74", "kernel_id": "263666"}, {"ref": "foreman3/exploring-survival-on-the-titanic", "kernel_id": "263671"}, {"ref": "foreman3/exploring-survival-on-the-titanic-bit-by-bit", "kernel_id": "263711"}, {"ref": "cdehais/testscript", "kernel_id": "263691"}, {"ref": "ashata/notebooka3d8b61d8a", "kernel_id": "263842"}, {"ref": "sthomson/titanic-v1", "kernel_id": "263847"}, {"ref": "gold4star/title", "kernel_id": "263765"}, {"ref": "gold4star/title-90", "kernel_id": "263825"}, {"ref": "gold4star/testing", "kernel_id": "263828"}, {"ref": "hyong120/test1", "kernel_id": "263817"}, {"ref": "fngfng/an-interactive-data-science-tutorial", "kernel_id": "263851"}, {"ref": "divy44/titanic1", "kernel_id": "263950"}, {"ref": "dbgain/notebookccde32a7f0", "kernel_id": "263887"}, {"ref": "akcind/titanic-kernel", "kernel_id": "263946"}, {"ref": "jayctran/titanic-challenge", "kernel_id": "266167"}, {"ref": "uokoroafor1/titanic-learning-a-first-attempt", "kernel_id": "889302"}, {"ref": "viveknarsale/notebook2baaaf01e4", "kernel_id": "263995"}, {"ref": "koichiokada/fork-of-titanic-data-science-solutions", "kernel_id": "264509"}, {"ref": "koichiokada/titanic-data-science-solutions", "kernel_id": "264116"}, {"ref": "felix50969/notebookeeac522f8e", "kernel_id": "270520"}, {"ref": "abaqus01/notebook10031cef09", "kernel_id": "264350"}, {"ref": "lauseaun/notebook79d468f56c", "kernel_id": "264071"}, {"ref": "aditsrivastava4/titanic-prediction-by-adit", "kernel_id": "307235"}, {"ref": "aditsrivastava4/titanic-prediction-by-adit-srivastava", "kernel_id": "308735"}, {"ref": "comsyl/titanic-data-science-solutions", "kernel_id": "264190"}, {"ref": "minozar/firsttry", "kernel_id": "268686"}, {"ref": "bharathyeddula/titanic", "kernel_id": "264209"}, {"ref": "liangkang/a-trial-for-the-machine-learning", "kernel_id": "497025"}, {"ref": "mikawaya/notebook3453ae2424", "kernel_id": "264262"}, {"ref": "sasiprasanth/notebook12438759d6", "kernel_id": "264217"}, {"ref": "nnair25/save-me-jack", "kernel_id": "307856"}, {"ref": "duksh2k/titanic-data-science-solutions", "kernel_id": "264754"}, {"ref": "julienschockmel/notebookc60cdcd5e1", "kernel_id": "264351"}, {"ref": "julienschockmel/notebook93921886a2", "kernel_id": "264596"}, {"ref": "syn1992/titanic-data-science-solutions-2d06bf", "kernel_id": "265750"}, {"ref": "jakeshi/titanic-prediction", "kernel_id": "264369"}, {"ref": "jakeshi/titanic-rf-prediction-0-81818", "kernel_id": "264489"}, {"ref": "vpalladi/notebookc5baef0deb", "kernel_id": "268379"}, {"ref": "zabelez/notebook480fb23a05", "kernel_id": "264765"}, {"ref": "zabelez/titanic-data-science-solutions", "kernel_id": "264766"}, {"ref": "kmiller96/who-died-on-the-titanic", "kernel_id": "273886"}, {"ref": "conanrei/test-for-titanic", "kernel_id": "264443"}, {"ref": "allen4466/notebook2ab3da479c", "kernel_id": "265654"}, {"ref": "mjyang/testw", "kernel_id": "278722"}, {"ref": "mjyang/testt", "kernel_id": "278728"}, {"ref": "mjyang/mltest", "kernel_id": "278729"}, {"ref": "anshulswarup/solution-for-titanic-survival-prediction", "kernel_id": "266130"}, {"ref": "anshulswarup/notebookb6024249a5", "kernel_id": "264685"}, {"ref": "kasparrow/notebook6ce9b119e4", "kernel_id": "264626"}, {"ref": "kagglemsj1/test1", "kernel_id": "264641"}, {"ref": "kagglemsj1/an-interactive-data-science-tutorial", "kernel_id": "266885"}, {"ref": "kagglemsj1/titanic-data-science-solutions", "kernel_id": "266887"}, {"ref": "kagglemsj1/first-project", "kernel_id": "273418"}, {"ref": "kagglemsj1/introduction-to-ensembling-stacking-in-python", "kernel_id": "272883"}, {"ref": "youchong/another", "kernel_id": "267996"}, {"ref": "youchong/practice", "kernel_id": "265536"}, {"ref": "wassimben/will-they-survive", "kernel_id": "363094"}, {"ref": "wassimben/will-the-titanic-passengers-survive", "kernel_id": "364001"}, {"ref": "hninayelwin/notebook96f86e7675", "kernel_id": "265391"}, {"ref": "ldomicevica/an-interactive-data-science-tutorial", "kernel_id": "267325"}, {"ref": "gokulgokz/titanic-survival-prediction", "kernel_id": "267483"}, {"ref": "sunhill/simon-s-notebook", "kernel_id": "279513"}, {"ref": "v2shaq/an-interactive-data-science-tutorial", "kernel_id": "264923"}, {"ref": "v2shaq/notebook6f0a4e5fe2", "kernel_id": "269837"}, {"ref": "agodwinp/deep-sea-dive-into-top-10-survival-guide", "kernel_id": "620149"}, {"ref": "muhammadusman17/notebook67e41dc570", "kernel_id": "269730"}, {"ref": "muhammadusman17/titanic-survivals-solution", "kernel_id": "269708"}, {"ref": "muhammadusman17/titanic", "kernel_id": "271652"}, {"ref": "lingbao/notebook8e35021cc4", "kernel_id": "264941"}, {"ref": "lingbao/test-bl", "kernel_id": "264963"}, {"ref": "lingbao/notebook590801c934", "kernel_id": "264964"}, {"ref": "tpb261/notebook2d5ac5c6ed", "kernel_id": "267246"}, {"ref": "tpb261/myfirsttest", "kernel_id": "265506"}, {"ref": "wilcoboode/titanictutorial", "kernel_id": "265396"}, {"ref": "nihakanala/titanic-dataset", "kernel_id": "274791"}, {"ref": "arodriguez296/titanic-solution-arodriguez", "kernel_id": "265741"}, {"ref": "winal1/first-notebook", "kernel_id": "267138"}, {"ref": "joncle/titanic-data-science-solutions", "kernel_id": "265222"}, {"ref": "antoinekrajnc/survival-prediction-model-logistic-regression", "kernel_id": "509957"}, {"ref": "jacksonweekes/an-interactive-data-science-tutorial", "kernel_id": "268349"}, {"ref": "tarungupta28/notebookabf0b25213", "kernel_id": "265295"}, {"ref": "bucunzai/titanic-data-mining-by-python-ver2-0", "kernel_id": "326322"}, {"ref": "madhumantis/titanic-py-ms", "kernel_id": "265401"}, {"ref": "sagarjain2030/titanic-machine-learning-from-disaster", "kernel_id": "410233"}, {"ref": "sagarjain2030/titanic-using-logistic-regression", "kernel_id": "891912"}, {"ref": "fromage0/testtest", "kernel_id": "265431"}, {"ref": "artificialidiot/an-interactive-data-science-tutorial", "kernel_id": "279491"}, {"ref": "vijash/notebook17183340b4", "kernel_id": "288989"}, {"ref": "vijash/titanic-survival-prediction", "kernel_id": "288972"}, {"ref": "niteesh/titanic-data-science-solutions", "kernel_id": "265581"}, {"ref": "oddrop/the-titanic-of-data-tha-datanic", "kernel_id": "266380"}, {"ref": "oddrop/titanic-data-science-solutions", "kernel_id": "266375"}, {"ref": "raulrjk/learning", "kernel_id": "265566"}, {"ref": "mouryarohit/notebook93dc8b94e6", "kernel_id": "265586"}, {"ref": "akkshita/titanic-data-science-solutions", "kernel_id": "265603"}, {"ref": "samsara330/notebook6b6e3835c4", "kernel_id": "265725"}, {"ref": "karaleina/titanic-data-science-solutions", "kernel_id": "265726"}, {"ref": "klmanc/notebook70dbe73050", "kernel_id": "266306"}, {"ref": "deltas4/random", "kernel_id": "265727"}, {"ref": "deltas4/random-forest", "kernel_id": "265731"}, {"ref": "deltas4/random-forest-benchmark-r", "kernel_id": "265722"}, {"ref": "francescoforesti/random-forest-benchmark-r", "kernel_id": "265721"}, {"ref": "krittamethtea/pytanic-kt", "kernel_id": "267833"}, {"ref": "nelsonnop/1-desafio", "kernel_id": "265760"}, {"ref": "nelsonnop/notebook3f03451733", "kernel_id": "265770"}, {"ref": "psyence88/notebook20fef2353f", "kernel_id": "265815"}, {"ref": "sidlovesdata/an-interactive-data-science-tutorial", "kernel_id": "266420"}, {"ref": "jabbahutt/notebook4bc2793528", "kernel_id": "268987"}, {"ref": "jabbahutt/titanic-disaster-test", "kernel_id": "269052"}, {"ref": "plaurent/yet-another-first-attempt", "kernel_id": "267378"}, {"ref": "srjaved/notebook24cbcab9fb", "kernel_id": "265963"}, {"ref": "wlkoch/practical-predictive-analytics-assignment", "kernel_id": "273812"}, {"ref": "wlkoch/notebook18d4f6e55f", "kernel_id": "273813"}, {"ref": "wlkoch/notebookf994e21fca", "kernel_id": "273816"}, {"ref": "thomaspaniagua/learning", "kernel_id": "266027"}, {"ref": "sibyl42/introduction-to-ensembling-stacking-in-python", "kernel_id": "277296"}, {"ref": "sibyl42/notebookb375227f18", "kernel_id": "266094"}, {"ref": "adibakhan/notebookbddbc75a58", "kernel_id": "266646"}, {"ref": "adibakhan/titanic-machine-learning", "kernel_id": "266651"}, {"ref": "maciejsartys/titanic-on-neural-network", "kernel_id": "270812"}, {"ref": "zhanwt/notebook0de73ec410", "kernel_id": "266239"}, {"ref": "mabreyaz/notebook1a15bb0aed", "kernel_id": "395554"}, {"ref": "tripti7/notebook6573f069fe", "kernel_id": "268225"}, {"ref": "tripti7/notebook45e342410b", "kernel_id": "268221"}, {"ref": "spaceartist/notebook7a0bc3eb47", "kernel_id": "267601"}, {"ref": "imharshit/notebook55dd32e6dd", "kernel_id": "266371"}, {"ref": "wy0000/titanic-data-science-solutions", "kernel_id": "266388"}, {"ref": "wy0000/wy000", "kernel_id": "266385"}, {"ref": "antonaastrom/notebook532bf37435", "kernel_id": "267651"}, {"ref": "jijokjose/test-03", "kernel_id": "271285"}, {"ref": "jijokjose/test-04", "kernel_id": "271288"}, {"ref": "jijokjose/test-05", "kernel_id": "271319"}, {"ref": "jijokjose/test-02", "kernel_id": "271183"}, {"ref": "jijokjose/test-07", "kernel_id": "271190"}, {"ref": "jijokjose/titanic-disaster-problem-using-py-code", "kernel_id": "271196"}, {"ref": "jijokjose/titanic-disaster-problem-using-py-simple", "kernel_id": "271376"}, {"ref": "jijokjose/test-08", "kernel_id": "271465"}, {"ref": "jijokjose/test-09", "kernel_id": "271461"}, {"ref": "ajithvallabai/titanic-data-science-solutions", "kernel_id": "302296"}, {"ref": "mspoorendonk/titanic-data-science-solutions", "kernel_id": "266447"}, {"ref": "oulongwen/titanic-data-science-solutions", "kernel_id": "266514"}, {"ref": "zainabali/hello-world", "kernel_id": "266560"}, {"ref": "thetamin/titanic-machine-learning-algorithm", "kernel_id": "271469"}, {"ref": "thetamin/titanic", "kernel_id": "286036"}, {"ref": "thetamin/notebook1d933d83e6", "kernel_id": "285356"}, {"ref": "gudla122/exploring-survival-on-the-titanic", "kernel_id": "273227"}, {"ref": "romaindupuis/notebook115e2ea43d", "kernel_id": "266583"}, {"ref": "adibro500/notebook5c24f66cf9", "kernel_id": "267337"}, {"ref": "kozhabekovakniyet/titanic-best-working-classifier-05255c", "kernel_id": "266728"}, {"ref": "thatsrich/titanically-tested", "kernel_id": "271787"}, {"ref": "prashantcraju/titanic", "kernel_id": "266733"}, {"ref": "problemo55/notebookf3d2dcb3fa", "kernel_id": "269457"}, {"ref": "brachan/titanic", "kernel_id": "271266"}, {"ref": "tobyhong/exploring-survival-on-the-titanic", "kernel_id": "266909"}, {"ref": "eduardofleck/pytanic", "kernel_id": "268423"}, {"ref": "timahutchinson/notebook20bd2eef6c", "kernel_id": "272752"}, {"ref": "jmarsh/exploring-survival-on-the-titanic", "kernel_id": "275626"}, {"ref": "marioorlando/improved-titanic-disaster-analysis-py", "kernel_id": "288366"}, {"ref": "marioorlando/titanic-disaster-analysis-py", "kernel_id": "280483"}, {"ref": "damianrodziewicz/exploring-survival-on-the-titanic", "kernel_id": "267156"}, {"ref": "klmilam/kmilam-titanic", "kernel_id": "267124"}, {"ref": "karthikgunasekaran/titanic-data-science-solutions", "kernel_id": "267132"}, {"ref": "smiledy2017/learning", "kernel_id": "268352"}, {"ref": "dongkyoungchoe/first-kaggle-with-titanic-disaster-dataset", "kernel_id": "267165"}, {"ref": "taropoly/titanic", "kernel_id": "267865"}, {"ref": "taropoly/notebook812d73171c", "kernel_id": "267863"}, {"ref": "rohanmitro/fork-of-an-interactive-data-science-tutorial", "kernel_id": "312866"}, {"ref": "pietruszka/notebook3a0ee97817", "kernel_id": "268302"}, {"ref": "pietruszka/an-interactive-data-science-tutorial-5629c9", "kernel_id": "268474"}, {"ref": "bmaria/my-first-kaggle-notebook", "kernel_id": "271440"}, {"ref": "amrsamir/notebook27cb39f573", "kernel_id": "267318"}, {"ref": "amrsamir/notebook1e593ad4d5", "kernel_id": "267370"}, {"ref": "kingmoon/lost-titanic", "kernel_id": "327943"}, {"ref": "nikhilrayaprolu/notebook20e96b6d38", "kernel_id": "267372"}, {"ref": "andydotdaniel/titanic-first-machine-learning-tutorial", "kernel_id": "267416"}, {"ref": "gaurav9297/titanic-using-knn", "kernel_id": "280881"}, {"ref": "gaurav9297/fork-of-titanic-using-linear-regression", "kernel_id": "282251"}, {"ref": "lumpyrocks/hoopla", "kernel_id": "267526"}, {"ref": "rmprmp/pytanic", "kernel_id": "272936"}, {"ref": "wjnscott/notebook5cb047e2ad", "kernel_id": "267808"}, {"ref": "thalesarr/titaniunc", "kernel_id": "267869"}, {"ref": "dingminghbut/titanic", "kernel_id": "268313"}, {"ref": "econwonkery/notebookbbcb41a1ee", "kernel_id": "279187"}, {"ref": "gaurav39/titanic-survival", "kernel_id": "723354"}, {"ref": "nikhil15/testpy", "kernel_id": "268035"}, {"ref": "g00dg00dstudy/notebook2e825bd076", "kernel_id": "268101"}, {"ref": "garciparedes/titanic-getting-started", "kernel_id": "483984"}, {"ref": "jponsa/notebook1481ceee54", "kernel_id": "268406"}, {"ref": "jponsa/titanic", "kernel_id": "268408"}, {"ref": "jponsa/scikit-learn-ml-from-start-to-finish-test", "kernel_id": "268707"}, {"ref": "jponsa/fork-of-notebook336cafaf52", "kernel_id": "268470"}, {"ref": "jponsa/fork-of-titanic", "kernel_id": "268946"}, {"ref": "szxwpp/titanic", "kernel_id": "268776"}, {"ref": "nsusoev/test5", "kernel_id": "268335"}, {"ref": "nitindig/titanic", "kernel_id": "572647"}, {"ref": "saikota/titania", "kernel_id": "271070"}, {"ref": "saikota/titanic", "kernel_id": "271077"}, {"ref": "johnzhaoexisted/first", "kernel_id": "271865"}, {"ref": "johnzhaoexisted/an-interactive-data-science-tutorial", "kernel_id": "270396"}, {"ref": "johnzhaoexisted/fork-of-an-interactive-data-science-tutorial", "kernel_id": "273053"}, {"ref": "johnzhaoexisted/a-journey-through-titanic-ad1c31", "kernel_id": "273840"}, {"ref": "uma666/an-interactive-data-science-tutorial", "kernel_id": "268422"}, {"ref": "slau9233/notebook687a736ef4", "kernel_id": "269660"}, {"ref": "urm3li/notebookfea9339251", "kernel_id": "268461"}, {"ref": "marioap/notebook13479f9177", "kernel_id": "268517"}, {"ref": "gsscott/test-kernel", "kernel_id": "268529"}, {"ref": "gsscott/test-notebook", "kernel_id": "268530"}, {"ref": "scottchristensen/notebooka43e723d56", "kernel_id": "277177"}, {"ref": "jaysenwu/titantic", "kernel_id": "284698"}, {"ref": "dariarob/notebookd6cca9f5a4", "kernel_id": "268804"}, {"ref": "wongkaggle/learn001", "kernel_id": "268756"}, {"ref": "ashiash31/testattemptv2", "kernel_id": "274905"}, {"ref": "ashiash31/notebook7bc685cdfe", "kernel_id": "276286"}, {"ref": "ashiash31/notebookd94752add1", "kernel_id": "276417"}, {"ref": "cohenc/notebook1f98fb579d", "kernel_id": "268858"}, {"ref": "cohenc/titanic-tutorial-practice", "kernel_id": "268859"}, {"ref": "cohenc/notebookacf1e9ac40", "kernel_id": "271827"}, {"ref": "babalu/mytitanictest", "kernel_id": "269098"}, {"ref": "mamichoco/correlation-and-random-forest", "kernel_id": "269000"}, {"ref": "kdcgreat/trying-neural-network", "kernel_id": "269615"}, {"ref": "siddhz/titanic-data-set-just-basic-stuff", "kernel_id": "344736"}, {"ref": "krunal3kapadiya/titanic-analysis-collide-with-destiny", "kernel_id": "657296"}, {"ref": "vasudev21/testingtitanic", "kernel_id": "269159"}, {"ref": "davidzshi/titanic-ml-trial", "kernel_id": "269454"}, {"ref": "phob3k/notebookf54e74856c", "kernel_id": "269213"}, {"ref": "ruslanibr/notebookc9600c71f1", "kernel_id": "269244"}, {"ref": "mlogachev/first-steps-with-machine-learning", "kernel_id": "303780"}, {"ref": "justinlogan/titanpy", "kernel_id": "269489"}, {"ref": "rabiabashir/notebook8363aa49f2", "kernel_id": "270316"}, {"ref": "rabiabashir/notebookc77ad105b3", "kernel_id": "270296"}, {"ref": "olgazats/titanic-1", "kernel_id": "269684"}, {"ref": "rajeevsingh/notebookef8251975a", "kernel_id": "273532"}, {"ref": "sarashahzad/notebook40dde41cd3", "kernel_id": "269319"}, {"ref": "dodgeroebuck/mainrun", "kernel_id": "269456"}, {"ref": "qian02/titanic-data-science-solutions-ee3b54", "kernel_id": "319142"}, {"ref": "zufeng/introduction-to-ensembling-stacking-in-python", "kernel_id": "272131"}, {"ref": "macojohn37/exploring-survival-on-the-titanic", "kernel_id": "269562"}, {"ref": "xzl524/titanic-predictor", "kernel_id": "269805"}, {"ref": "karthiciist/predicting-fate-of-titanic-passengers", "kernel_id": "294879"}, {"ref": "buffbee/notebook38503bc7be", "kernel_id": "273394"}, {"ref": "takaoshimizu/notebookaa5e9b85de", "kernel_id": "270191"}, {"ref": "jt120go/pytanic", "kernel_id": "269795"}, {"ref": "arjunmalhotra/titanic", "kernel_id": "269793"}, {"ref": "okuglo/basic-neural-net-step-by-step", "kernel_id": "275269"}, {"ref": "joeyhughes21/titanic", "kernel_id": "278951"}, {"ref": "tonymit1/pytanic", "kernel_id": "270004"}, {"ref": "rvanga/titanic-survival-prediction", "kernel_id": "284212"}, {"ref": "brunomauricio/notebook63efa0a74b", "kernel_id": "270054"}, {"ref": "jscotkin/notebooka8256fd32b", "kernel_id": "270047"}, {"ref": "ashleyw/notebook8dfd8e6123", "kernel_id": "275315"}, {"ref": "twistedchurro/using-logistic-regression-for-the-titanic-problem", "kernel_id": "287228"}, {"ref": "walidbrahim/titanic-competition-notebook", "kernel_id": "279608"}, {"ref": "kabure/titanic-eda-model-pipeline-keras-nn", "kernel_id": "538832"}, {"ref": "zhangfan2017/titanic", "kernel_id": "270187"}, {"ref": "eugene422/notebook0a0fafd86e", "kernel_id": "272649"}, {"ref": "isaacwong01/titanic-data-science-solutions", "kernel_id": "274312"}, {"ref": "arabbacy/notebook8e167e7fd9", "kernel_id": "270243"}, {"ref": "arabbacy/notebook90edd23f6a", "kernel_id": "270253"}, {"ref": "akhtarmudassar/assignment", "kernel_id": "270242"}, {"ref": "umirsaed/notebook444565faf8", "kernel_id": "270245"}, {"ref": "shreyansh28/notebook1e9638eb73", "kernel_id": "271111"}, {"ref": "shreyansh28/notebookfe749c9896", "kernel_id": "270734"}, {"ref": "zhaowq/1122334", "kernel_id": "270966"}, {"ref": "imagic/notebook38a6533df5", "kernel_id": "271639"}, {"ref": "therealjawss/notebook54af088162", "kernel_id": "270423"}, {"ref": "therealjawss/mytanic", "kernel_id": "270426"}, {"ref": "therealjawss/scikit-learn-ml-from-start-to-finish", "kernel_id": "272212"}, {"ref": "guzheng/first", "kernel_id": "279562"}, {"ref": "sergiarmengol/notebookc50ff00ed5", "kernel_id": "270619"}, {"ref": "terkelbo/r-kernel-titanic", "kernel_id": "270625"}, {"ref": "rajasaravanan/raghav", "kernel_id": "270670"}, {"ref": "poodledoodle/notebook2bd5879c30", "kernel_id": "272447"}, {"ref": "shailesh1/an-interactive-data-science-tutorial", "kernel_id": "271570"}, {"ref": "alavrenko/first-try", "kernel_id": "272390"}, {"ref": "danerb/notebook17e47a4f88", "kernel_id": "275643"}, {"ref": "richardnutton/notebook0af93b88c5", "kernel_id": "270797"}, {"ref": "huuuuu/notebooke41a0d01a7", "kernel_id": "273001"}, {"ref": "mueller91/myfirstkernel", "kernel_id": "270888"}, {"ref": "awkwardprogrammer/work-in-progress", "kernel_id": "270928"}, {"ref": "sooophiie/first-notebook-titanic", "kernel_id": "270958"}, {"ref": "melanydillon/notebook8398604c16", "kernel_id": "270952"}, {"ref": "aerend/notebookf0263dc347", "kernel_id": "274911"}, {"ref": "sunmiyoon/one-hour-data-analysis", "kernel_id": "671508"}, {"ref": "stomer90/titanic-data-science-solutions", "kernel_id": "273933"}, {"ref": "imendoza/titanic-rf-prediction", "kernel_id": "271029"}, {"ref": "abetsang/notebookbf58e6a47c", "kernel_id": "271120"}, {"ref": "abetsang/notebookd884f8f419", "kernel_id": "271122"}, {"ref": "purusothaman/titanic-best-working-classifier", "kernel_id": "362593"}, {"ref": "nischallal/hello-kaggle-waggle", "kernel_id": "271203"}, {"ref": "matusa/matusanic", "kernel_id": "271237"}, {"ref": "mehak0108/notebook51caeb0615", "kernel_id": "271262"}, {"ref": "anasabdulqader/predictme", "kernel_id": "272186"}, {"ref": "sanjaykashalkar/notebook2ad0f1d680", "kernel_id": "273183"}, {"ref": "denggaoshan/my-data-analysis-using-plot-ly", "kernel_id": "405453"}, {"ref": "anthogez/data-driven-exploration-of-survival-on-titanic", "kernel_id": "271352"}, {"ref": "roister/notebook7502028b00", "kernel_id": "273916"}, {"ref": "shawguo/pytanic", "kernel_id": "271381"}, {"ref": "kaiyingsun/notebook4dd65f2163", "kernel_id": "272588"}, {"ref": "slataa/notebookc0ed6662d4", "kernel_id": "271443"}, {"ref": "arthurchk/mynotebook", "kernel_id": "271496"}, {"ref": "nishadmusthafa/test-kernel-nishad", "kernel_id": "271515"}, {"ref": "eporomaa/notebook899ad33c4e", "kernel_id": "271551"}, {"ref": "theangi/first-kernel", "kernel_id": "271671"}, {"ref": "fanweiwei/hello-world", "kernel_id": "271709"}, {"ref": "serfian/titanic-first-try", "kernel_id": "309794"}, {"ref": "bsoyer/notebook44f118bf15", "kernel_id": "274539"}, {"ref": "bsoyer/notebookb9ec6a81f5", "kernel_id": "274537"}, {"ref": "takayan4/titanic", "kernel_id": "472929"}, {"ref": "lhb2720204/poisson", "kernel_id": "279348"}, {"ref": "tiger8616/notebookdf55319668", "kernel_id": "273037"}, {"ref": "tiger8616/notebook9164dd0ee5", "kernel_id": "273039"}, {"ref": "tiger8616/test-only", "kernel_id": "273042"}, {"ref": "tiger8616/notebook6181165d87", "kernel_id": "273918"}, {"ref": "tiger8616/notebook24e22da844", "kernel_id": "274279"}, {"ref": "tiger8616/notebook4f1a8df162", "kernel_id": "274274"}, {"ref": "tiger8616/xujh-titanic", "kernel_id": "274328"}, {"ref": "lvqicong/notebookaa4a515525", "kernel_id": "279394"}, {"ref": "lvqicong/titanic", "kernel_id": "279399"}, {"ref": "lvqicong/notebook4f4175838d", "kernel_id": "280555"}, {"ref": "lvqicong/notebook5e40ae1527", "kernel_id": "280529"}, {"ref": "ankitshetgaonkar/titanicpuzzle", "kernel_id": "272181"}, {"ref": "sebpont/titanic-data-science-solutions", "kernel_id": "272337"}, {"ref": "stefanobaghino/titanic-simple-correlation", "kernel_id": "272317"}, {"ref": "stefanobaghino/titanic-baseline-all-men-must-die", "kernel_id": "272291"}, {"ref": "ykr001/titanic-data-science-solutions", "kernel_id": "276348"}, {"ref": "crmacedo80/cfmm1980", "kernel_id": "272477"}, {"ref": "truantboy/a-journey-through-titanic", "kernel_id": "272392"}, {"ref": "jamesbuckijr/notebook487c65c671", "kernel_id": "272467"}, {"ref": "srioux/notebook7141ef73cf", "kernel_id": "272862"}, {"ref": "bgarolera/titanic-data-science-solutions", "kernel_id": "279786"}, {"ref": "yalltz/test1", "kernel_id": "275087"}, {"ref": "manishankarbalu/notebookb7673857ce", "kernel_id": "272523"}, {"ref": "animatruth/my-first-kernel-with-neural-networks-sandbox", "kernel_id": "277008"}, {"ref": "lukeschmerold/exploring-survival-on-the-titanic", "kernel_id": "276132"}, {"ref": "aliabdullah3/first-run", "kernel_id": "274492"}, {"ref": "akshay524/first-kernel", "kernel_id": "272673"}, {"ref": "ysbecca/titanic-ml", "kernel_id": "272663"}, {"ref": "mmdevel/notebook216941de72", "kernel_id": "272703"}, {"ref": "joanlilyqy/fork-titanic-data-science-solutions", "kernel_id": "273871"}, {"ref": "mayalr/notebooka0a8868362", "kernel_id": "272705"}, {"ref": "mannyjb732/titanic-test", "kernel_id": "276202"}, {"ref": "mannyjb732/titanic-survival-predictions", "kernel_id": "319661"}, {"ref": "yaxelperez/logistic-regression-thing", "kernel_id": "272768"}, {"ref": "yaxelperez/notebookfc474e7950", "kernel_id": "272759"}, {"ref": "swizzcomet/notebookbd1f9cb944", "kernel_id": "272769"}, {"ref": "buonar/notebooka4459e8187", "kernel_id": "272793"}, {"ref": "jeffreyren/notebook934a89f731", "kernel_id": "272798"}, {"ref": "eryamada/titanic-eda-and-feature-engineering", "kernel_id": "309657"}, {"ref": "younghun/titanic2", "kernel_id": "983012"}, {"ref": "iheaven/kaggle-titanic", "kernel_id": "273068"}, {"ref": "shilpahgd/titanic-survivors", "kernel_id": "273230"}, {"ref": "shilpahgd/notebookf4933adfd6", "kernel_id": "273221"}, {"ref": "hooooooou/nb-with-fami-survival-rate", "kernel_id": "273134"}, {"ref": "hooooooou/notebook6494228a1c", "kernel_id": "273124"}, {"ref": "bestlife/firsttep", "kernel_id": "273217"}, {"ref": "bestlife/homeworkfortiki", "kernel_id": "273201"}, {"ref": "bonghwilim/notebookbcfd61f1e1", "kernel_id": "273177"}, {"ref": "krishnapreetish/notebook1f964969bf", "kernel_id": "278107"}, {"ref": "imlihao/pytanic", "kernel_id": "273330"}, {"ref": "nipi64310/notebook3adadc5f40", "kernel_id": "274275"}, {"ref": "cherrywinaikosol/notebook58d62ac387", "kernel_id": "273433"}, {"ref": "n9iv2017/notebook1324d71f9a", "kernel_id": "278920"}, {"ref": "anuradhai/notebookf69aebec04", "kernel_id": "273924"}, {"ref": "tquinn35/notebook6b490f310f", "kernel_id": "273640"}, {"ref": "tquinn35/titanic-data-science-solutions", "kernel_id": "273650"}, {"ref": "tquinn35/titanic", "kernel_id": "273863"}, {"ref": "tquinn35/team-fork", "kernel_id": "314335"}, {"ref": "vgmd93/quick-rfc-solution", "kernel_id": "273712"}, {"ref": "mikeclaiborne/mike-titanic-competiton", "kernel_id": "294379"}, {"ref": "aywengo/titanic-mr", "kernel_id": "380250"}, {"ref": "grimreaper42/my-first-r-code", "kernel_id": "273727"}, {"ref": "mauriciocap/pytanic", "kernel_id": "737749"}, {"ref": "panzeyu/notebook6509dbf9be", "kernel_id": "273936"}, {"ref": "prabhulingayya/titanic-prediction-using-logistic-regression", "kernel_id": "460986"}, {"ref": "eclipse17/test1", "kernel_id": "274082"}, {"ref": "neichin/an-interactive-data-science-tutorial", "kernel_id": "274213"}, {"ref": "neichin/prueba", "kernel_id": "274227"}, {"ref": "ben774/exploring-survival-on-the-titanic", "kernel_id": "278517"}, {"ref": "amjadnaushad/notebook335b1b073f", "kernel_id": "274277"}, {"ref": "lorerex/pytanic", "kernel_id": "274300"}, {"ref": "lorerex/titanic-analysis-python", "kernel_id": "478208"}, {"ref": "jeremiahbuckley/titanic-data-science-solutions-experiments", "kernel_id": "284320"}, {"ref": "jeremiahbuckley/test-jb", "kernel_id": "280855"}, {"ref": "jeremiahbuckley/easy-e-ronin", "kernel_id": "274420"}, {"ref": "jins13/notebook7d579ea99e", "kernel_id": "277324"}, {"ref": "holwech/h-s-titanic-notebook", "kernel_id": "274939"}, {"ref": "sharats/notebookc8081b39b3", "kernel_id": "280227"}, {"ref": "gsdeepakkumar/learning-ml-with-titanic-survival", "kernel_id": "449764"}, {"ref": "marcobeyer/titanic-with-tflearn-network", "kernel_id": "278721"}, {"ref": "vivi66/introduction-to-ensembling-stacking-in-python", "kernel_id": "277336"}, {"ref": "fendwick/fnkaggle", "kernel_id": "277021"}, {"ref": "jpallav/notebookb71222a801", "kernel_id": "274906"}, {"ref": "moonbasealpha/notebookfd5c8c0b8c", "kernel_id": "279396"}, {"ref": "spockwang/predict-survival-of-titanic", "kernel_id": "297898"}, {"ref": "nahiduzzamanrose/notebookc9c6d1f948", "kernel_id": "274927"}, {"ref": "chaitanya5/chaitu-titanic", "kernel_id": "274992"}, {"ref": "juicyspaghetti/titanic-survival-prediction-models", "kernel_id": "473678"}, {"ref": "thexyadventure/notebook782929ab90", "kernel_id": "275063"}, {"ref": "qiuqiuistdumm/titanic-don-t-touch-the-iceberg", "kernel_id": "275932"}, {"ref": "chaklit/titanic-secrets-revealed", "kernel_id": "275220"}, {"ref": "chaklit/pytanic", "kernel_id": "275223"}, {"ref": "olanblount/titanic-start", "kernel_id": "275271"}, {"ref": "wning0101/notebook73df979d1b", "kernel_id": "278561"}, {"ref": "wning0101/notebook6af3490099", "kernel_id": "279643"}, {"ref": "joshwc/thing", "kernel_id": "275318"}, {"ref": "kivaschenko/titanic-1", "kernel_id": "349481"}, {"ref": "kivaschenko/titanic-2", "kernel_id": "386233"}, {"ref": "ishankhurz/notebookbcbecb4720", "kernel_id": "275541"}, {"ref": "abunwier/titanic", "kernel_id": "277604"}, {"ref": "abunwier/tatinic", "kernel_id": "276015"}, {"ref": "andrewmerz/python-titanic-project", "kernel_id": "275582"}, {"ref": "andrewmerz/notebookc81820382d", "kernel_id": "275585"}, {"ref": "sylphsangeeta/titanic", "kernel_id": "289068"}, {"ref": "emily426/notebooka5ed1a652a", "kernel_id": "275628"}, {"ref": "tingnantsai/testtitanic-tnt", "kernel_id": "275811"}, {"ref": "wjweve1/notebook5481402b01", "kernel_id": "275880"}, {"ref": "riddledle/exploring-survival-on-the-titanic", "kernel_id": "275846"}, {"ref": "andrewi/an-interactive-data-science-tutorial", "kernel_id": "275852"}, {"ref": "spartak/notebook373bc0e64e", "kernel_id": "275857"}, {"ref": "matthewhennegan/exploring-the-titanic", "kernel_id": "311799"}, {"ref": "shankarps/practice-kernel-for-titanic-dataset", "kernel_id": "593017"}, {"ref": "shankarps/notebookd0fbe2cf9e", "kernel_id": "276191"}, {"ref": "shankarps/firsttrial", "kernel_id": "276192"}, {"ref": "shenyuwu94/notebook5df46e76d0", "kernel_id": "276267"}, {"ref": "thecoolestguyyouknow/titanic", "kernel_id": "276416"}, {"ref": "evjrob/titanic-in-r", "kernel_id": "276374"}, {"ref": "naveenvarshney29/first-kaggle", "kernel_id": "276532"}, {"ref": "naveenvarshney29/second-kaggle", "kernel_id": "276583"}, {"ref": "janureddi/notebooke7c2f52286", "kernel_id": "276398"}, {"ref": "krizer/scikit-learn-ml-from-start-to-finish", "kernel_id": "279509"}, {"ref": "luoyu06/tinatic-test", "kernel_id": "278753"}, {"ref": "fujitatakuya/notebook049e2c6f35", "kernel_id": "276540"}, {"ref": "oliverdesum/notebook929d13a655", "kernel_id": "276636"}, {"ref": "allenash/notebook24eef453a1", "kernel_id": "278490"}, {"ref": "allenash/notebook1db3bfc0f1", "kernel_id": "276726"}, {"ref": "shvamath/whatever", "kernel_id": "276772"}, {"ref": "transistorresistor/notebookf47c42ff9d", "kernel_id": "276786"}, {"ref": "ll2062/test1", "kernel_id": "276905"}, {"ref": "naxu0925/data-science-in-titanic", "kernel_id": "279928"}, {"ref": "itsshubham/titanic-problem-decision-trees-for-beginners", "kernel_id": "373410"}, {"ref": "liyunli/notebook1b5d59a66d", "kernel_id": "277171"}, {"ref": "keypusher/notebookf7aef19069", "kernel_id": "277093"}, {"ref": "zomzilla/notebookbf323c3fb9", "kernel_id": "277156"}, {"ref": "fernandofg/prediciting-survivors-on-titanic-disaster", "kernel_id": "289696"}, {"ref": "jacksmengel/jm-titanic-prediction", "kernel_id": "548411"}, {"ref": "kushagramakharia/titanic-survive", "kernel_id": "319836"}, {"ref": "luchysrx/titanic-solution", "kernel_id": "391371"}, {"ref": "spencera/notebookf91198309d", "kernel_id": "277316"}, {"ref": "jesprite14/an-interactive-data-science-tutorial", "kernel_id": "277319"}, {"ref": "aishwaryadeshpande/python-packages", "kernel_id": "498795"}, {"ref": "karamveer/titanic", "kernel_id": "278027"}, {"ref": "fairly/titanic", "kernel_id": "278350"}, {"ref": "urwacfc/drowning", "kernel_id": "277464"}, {"ref": "massquantity/end-to-end-process-for-titanic-problem", "kernel_id": "323723"}, {"ref": "shitom/notebooka8bc13ed55", "kernel_id": "277600"}, {"ref": "mrmangolo/notebooke0761c0e71", "kernel_id": "277747"}, {"ref": "vijaykumarsingh/titanic", "kernel_id": "277717"}, {"ref": "papa11111/titanic-data-science-solutions", "kernel_id": "277722"}, {"ref": "sheemam/testing-titanic", "kernel_id": "312667"}, {"ref": "dkhikhlukha/titanic-simple-solution", "kernel_id": "278836"}, {"ref": "davidbba/titanic-surviver", "kernel_id": "277961"}, {"ref": "ayush01/first", "kernel_id": "278876"}, {"ref": "johansing/notebook5bfe44b44f", "kernel_id": "278087"}, {"ref": "kevinnsun/notebookc3ec449578", "kernel_id": "279858"}, {"ref": "khatch/large-families-not-good-for-survival", "kernel_id": "278246"}, {"ref": "cubi15/first", "kernel_id": "278150"}, {"ref": "gsuriset/notebookf00dbab47b", "kernel_id": "278191"}, {"ref": "vitalyaxxi/cool-script", "kernel_id": "279124"}, {"ref": "ericaguo/titanic-ml-challenge", "kernel_id": "280837"}, {"ref": "konohayui/titanic-data-visualization-and-models", "kernel_id": "525838"}, {"ref": "marcelc63/notebookc6bda67064", "kernel_id": "279514"}, {"ref": "marcelc63/titanic-kaggle-getting-started", "kernel_id": "279507"}, {"ref": "thesanjitjain/introduction-to-machine-learning-with-titanic", "kernel_id": "303426"}, {"ref": "xyz109/an-interactive-data-science-tutorial", "kernel_id": "278396"}, {"ref": "gengchen/notebook9289bea3d1", "kernel_id": "279025"}, {"ref": "rumblycheetah/notebook317174ddeb", "kernel_id": "308756"}, {"ref": "abhishekd7/complete-data-analysis-manav-sehgal-s-notebook", "kernel_id": "279564"}, {"ref": "saisrinivas0695/notebookd870b3532a", "kernel_id": "278575"}, {"ref": "chuanguy/titanic-data-processing-with-python-0-813", "kernel_id": "301442"}, {"ref": "hlubega/titanic-disaster-solution", "kernel_id": "279095"}, {"ref": "kasonli/learning-ml-1-titanic-data", "kernel_id": "279764"}, {"ref": "sekhar0520/titanic-upstart", "kernel_id": "279793"}, {"ref": "sekhar0520/titanic-solution", "kernel_id": "279777"}, {"ref": "bayocostur/notebook8faa4f8585", "kernel_id": "279570"}, {"ref": "zimmru/delete-me", "kernel_id": "278972"}, {"ref": "zimmru/titanic-notebook", "kernel_id": "278983"}, {"ref": "zimmru/notebook3e02a29dd3", "kernel_id": "278977"}, {"ref": "akolmykov/titanic-data-science-solutions", "kernel_id": "279943"}, {"ref": "samuelwg/a-journey-through-titanic", "kernel_id": "297276"}, {"ref": "bfeest/notebook652345e63d", "kernel_id": "279937"}, {"ref": "satyajittourani/notebook63e9d21c12", "kernel_id": "279116"}, {"ref": "vikramvdl/titanicsink", "kernel_id": "279205"}, {"ref": "boostsc/introduction-to-ensembling-stacking-in-python", "kernel_id": "435458"}, {"ref": "dchakri18/my-1st-kernel", "kernel_id": "279299"}, {"ref": "punter145/notebookac181bfbf7", "kernel_id": "280429"}, {"ref": "srisuhasinig/notebookac21a3e571", "kernel_id": "279611"}, {"ref": "kaggle5000/titanic-sample", "kernel_id": "279425"}, {"ref": "ffaycal/titanic-data-science-solutions", "kernel_id": "279498"}, {"ref": "rozester/xgboost-example-python", "kernel_id": "459363"}, {"ref": "anshita2794/titanic-survival-problem-sample", "kernel_id": "280738"}, {"ref": "rafalplis/my-approach-to-titanic-competition", "kernel_id": "290191"}, {"ref": "lbegui12/notebook3b3ed28b51", "kernel_id": "279993"}, {"ref": "pandeyanupam/notebook786046fc83", "kernel_id": "280250"}, {"ref": "gy2237/titanic-data-science-solutions", "kernel_id": "280027"}, {"ref": "erickinsley/rmsnb", "kernel_id": "280058"}, {"ref": "akethtm/notebook58d4a07ce3", "kernel_id": "280062"}, {"ref": "bhsu98/notebook055643975e", "kernel_id": "280189"}, {"ref": "kollybot/my-first-script", "kernel_id": "280196"}, {"ref": "yatingxu/yating-titanic-rf", "kernel_id": "323304"}, {"ref": "chanchalkariwala/notebook3728efbaf0", "kernel_id": "280251"}, {"ref": "muonsei/tiltanic", "kernel_id": "303633"}, {"ref": "tmirafuentes/titanic-comet", "kernel_id": "299602"}, {"ref": "alexagnoii/notebook741457cd2d", "kernel_id": "286684"}, {"ref": "jasperpillejera/titanic-thing", "kernel_id": "303582"}, {"ref": "jasperpillejera/tiltanic", "kernel_id": "304421"}, {"ref": "janbertelngo/comet-final-assessment-task", "kernel_id": "298721"}, {"ref": "captwulfz/comet-final-assessment", "kernel_id": "286753"}, {"ref": "junaaaaloo/comet-final-assessment-task", "kernel_id": "297356"}, {"ref": "acbatosalem/final-assessment-comet", "kernel_id": "299419"}, {"ref": "turiya/the-ship-problem", "kernel_id": "280365"}, {"ref": "kazimosiurrahman/notebookff9bf18b2b", "kernel_id": "280417"}, {"ref": "ashishdhiman/trainingfortitanic-randomforest", "kernel_id": "436502"}, {"ref": "kimimizobe/notebookc639ab4a17", "kernel_id": "280627"}, {"ref": "musdem123/kernel-number-0", "kernel_id": "280610"}, {"ref": "mkowalik/notebook6a932f8891", "kernel_id": "280707"}, {"ref": "isahutch/predicting-titanic-surivals-first-attempt", "kernel_id": "803184"}, {"ref": "shunjiangxu/blood-is-thicker-than-water-friendship-forever", "kernel_id": "368440"}, {"ref": "pawanm/titanic-eda-modeling-and-evaluation-step-by-step", "kernel_id": "952613"}, {"ref": "bolo8956/titanic-first-kernel", "kernel_id": "293733"}, {"ref": "chandraroy/titanic-s-data-visualization", "kernel_id": "499681"}, {"ref": "mogwai/titanic-first-kernel", "kernel_id": "298597"}, {"ref": "lanxing/intro-to-machine-learning-with-titanic-survival", "kernel_id": "300145"}, {"ref": "liulantao/titanicdata", "kernel_id": "331796"}, {"ref": "liulantao/titanicdata-02", "kernel_id": "332681"}, {"ref": "blahfacepants/titanic-try", "kernel_id": "284567"}, {"ref": "monobrow/notebook8adfc10951", "kernel_id": "282521"}, {"ref": "saigaya83/trial-1", "kernel_id": "326741"}, {"ref": "saigaya83/trial-2", "kernel_id": "327461"}, {"ref": "deepak2873/titanic-disaster-predicting-best-classifiers", "kernel_id": "506446"}, {"ref": "ravi0912/notebookf4a867d4ab", "kernel_id": "538813"}, {"ref": "junaideffendi/feature-engineering-for-accuracy-87", "kernel_id": "285236"}, {"ref": "sunilkumarsv/machine-learning-for-newbies", "kernel_id": "326991"}, {"ref": "sunilkumarsv/machine-learning-the-novice-way", "kernel_id": "325135"}, {"ref": "kunalgoyal/titanic-random-forest", "kernel_id": "802877"}, {"ref": "revanchist95/titanic-a-learning-experience", "kernel_id": "292838"}, {"ref": "surajgalande/notebook7df490ab65", "kernel_id": "307698"}, {"ref": "judemoon/predict-survived-from-titanic-disaster", "kernel_id": "340508"}, {"ref": "raghuicecraft/raghu-titanic-notebook", "kernel_id": "384614"}, {"ref": "sngupta/exploratory-analysis-of-titanic-dataset", "kernel_id": "831852"}, {"ref": "mukundhan91/titanic-mukun", "kernel_id": "327271"}, {"ref": "hugoshf/first-try-for-competitions", "kernel_id": "284914"}, {"ref": "hugoshf/xgboost-for-compeitition", "kernel_id": "284938"}, {"ref": "jnyork/an-interactive-data-science-tutorial", "kernel_id": "286009"}, {"ref": "birger/titanic-competition", "kernel_id": "287827"}, {"ref": "birger/titanic-competition-score-0-8134", "kernel_id": "292119"}, {"ref": "davidmerrick/kernel58cbe17211", "kernel_id": "614909"}, {"ref": "mwj351878605/titanic", "kernel_id": "489059"}, {"ref": "sophieg/quick-pandas-string-manipulation", "kernel_id": "351654"}, {"ref": "sophieg/getting-started-with-pandorable-pandas", "kernel_id": "379616"}, {"ref": "mchatham/exploring-survival-on-the-titanic01", "kernel_id": "287557"}, {"ref": "herissonchaves/a-journey-through-titanic", "kernel_id": "286484"}, {"ref": "urvishp80/titanic-disaster-with-rendomforestclassifier", "kernel_id": "392885"}, {"ref": "goodmana/a-journey-through-titan", "kernel_id": "286819"}, {"ref": "sharon170616/myformaltest", "kernel_id": "290010"}, {"ref": "arealdeadone/titanic-kernel", "kernel_id": "329838"}, {"ref": "aussie84/decision-tree-explainer-with-on-top-5-vars", "kernel_id": "380656"}, {"ref": "umayloveme/an-interactive-data-science-tutorial", "kernel_id": "716303"}, {"ref": "sediment/group-a-feature-specifying-one-s-companion", "kernel_id": "344096"}, {"ref": "mehul19/notebookcb8fa52a14", "kernel_id": "288997"}, {"ref": "marcdesvauxdemarigny/my-take-on-the-titanic", "kernel_id": "982260"}, {"ref": "annafleming/feature-engineering-and-model-evaluation", "kernel_id": "714741"}, {"ref": "vishwasgpai/titanic", "kernel_id": "439538"}, {"ref": "tedspikes/titanic-test", "kernel_id": "350018"}, {"ref": "jessica1033/notebook3b21e61089", "kernel_id": "437366"}, {"ref": "ankitaggarwal/titanic-survival-analysis", "kernel_id": "448562"}, {"ref": "frankhuo/titanic-machine-learning-my-first-kernel", "kernel_id": "327868"}, {"ref": "squarewei/titanic-first-try", "kernel_id": "342524"}, {"ref": "feng3245/titanic-new", "kernel_id": "290788"}, {"ref": "bhuang149/0-77990", "kernel_id": "293310"}, {"ref": "bhuang149/0-80383", "kernel_id": "296267"}, {"ref": "sanchitagarwal/titanic-competition-kernel", "kernel_id": "894268"}, {"ref": "pratikkotian04/machine-learning-first", "kernel_id": "390410"}, {"ref": "michellehuang131/a-first-strike-at-the-titanic", "kernel_id": "305858"}, {"ref": "joshuabeard/jumping-into-the-titanic-data", "kernel_id": "291518"}, {"ref": "aldoram5/titanic-analysis-from-a-newbie", "kernel_id": "293448"}, {"ref": "cccadet/titanic-linear-regression-tensorflow", "kernel_id": "441207"}, {"ref": "boundter/first-exploration-and-prediction", "kernel_id": "313793"}, {"ref": "ganthet/kernel429e04c846", "kernel_id": "650220"}, {"ref": "lazaromenezes/hello-titanic", "kernel_id": "321358"}, {"ref": "lazaromenezes/exploring-course-model-in-python", "kernel_id": "326763"}, {"ref": "grroverpr/pandas-cheatsheet", "kernel_id": "892644"}, {"ref": "manalmohania/notebookb2877ea446", "kernel_id": "291751"}, {"ref": "arjunrampal/titanic-exploratory-data-analysis", "kernel_id": "299429"}, {"ref": "arjunrampal/titanic-eda-rf", "kernel_id": "319368"}, {"ref": "siddie06/rolling-in-the-deep", "kernel_id": "305561"}, {"ref": "dsloet/modelling-and-visualising-titanic-data", "kernel_id": "891211"}, {"ref": "dsloet/titanic-notebook-with-visuals-plotly-and", "kernel_id": "884387"}, {"ref": "naanrdk/learning-from-disaster", "kernel_id": "423073"}, {"ref": "vpakyala/titanic-first-dive-logistic-regression", "kernel_id": "321530"}, {"ref": "akatsuki06/titanic-disaster-survival-solution", "kernel_id": "316036"}, {"ref": "sheikmohamed/survival-prediction-using-svm-and-other-ml-models", "kernel_id": "815346"}, {"ref": "gauravgupta1991/titanic-beyond-the-movie-closer-to-disaster", "kernel_id": "445410"}, {"ref": "eitsch723/first-kaggle-test-titanic", "kernel_id": "294491"}, {"ref": "rembertmagri/titanic-notebook-python", "kernel_id": "300349"}, {"ref": "jimitbavishi/titanic", "kernel_id": "311411"}, {"ref": "ronaldleolu/notebook-for-titanic", "kernel_id": "300883"}, {"ref": "axaimdc/02-making-a-summary-of-our-data", "kernel_id": "305997"}, {"ref": "axaimdc/04-titanic-step-by-step", "kernel_id": "329335"}, {"ref": "axaimdc/titanic-getting-started", "kernel_id": "329346"}, {"ref": "chikuverma/notebook2b0991673f", "kernel_id": "533994"}, {"ref": "vinarah/titanic-who-survives-who-doesn-t", "kernel_id": "296124"}, {"ref": "sonvh0610/rms-titanic-sinking", "kernel_id": "295008"}, {"ref": "abreulastra/titanic", "kernel_id": "695369"}, {"ref": "ranjan1990/survival-calculation-of-titanic", "kernel_id": "338277"}, {"ref": "swamysm/beginners-titanic", "kernel_id": "356375"}, {"ref": "saratm34/titanic-starter", "kernel_id": "371731"}, {"ref": "karenfang/my-first-titanic", "kernel_id": "697912"}, {"ref": "czx229/an-interactive-data-science-tutorial-73ff78", "kernel_id": "422475"}, {"ref": "willrice/python-seaborn-pairplot-example-revised", "kernel_id": "320629"}, {"ref": "willrice/learning-from-pysaster", "kernel_id": "312444"}, {"ref": "willrice/python-seaborn-pairplot-example-notebook-version", "kernel_id": "334604"}, {"ref": "evan8899/titanic-data-science-solutions", "kernel_id": "300733"}, {"ref": "gallarus/en-route-for-machine-learning-with-titanic-and-r", "kernel_id": "351564"}, {"ref": "xirlomachine/tutorial-predicting-survival-on-titanic", "kernel_id": "299830"}, {"ref": "lucasantevere/hello-titanic", "kernel_id": "321361"}, {"ref": "jdelaney1/titanic", "kernel_id": "373721"}, {"ref": "svalchev/notebookef74b50475", "kernel_id": "337431"}, {"ref": "wafaakassas/titanic-solution", "kernel_id": "357814"}, {"ref": "annametz/xgboost-trial", "kernel_id": "359147"}, {"ref": "shuhuagao/titanic-first-step", "kernel_id": "359747"}, {"ref": "pranjal05/titanic-disaster-survivers", "kernel_id": "555064"}, {"ref": "rskn1987/titanic-machine-learning-from-disaster-code", "kernel_id": "316504"}, {"ref": "eamanu/pytanic", "kernel_id": "328763"}, {"ref": "avicode/avibook-titanic-challenge", "kernel_id": "322008"}, {"ref": "kazimanil/titanic-submission", "kernel_id": "683744"}, {"ref": "abhirupalodh/titanic-survival-prediction-using-r", "kernel_id": "361538"}, {"ref": "nagamanir/titanic-machine-learning-from-disaster", "kernel_id": "551914"}, {"ref": "szczepanov/titanic-try-3", "kernel_id": "303343"}, {"ref": "kairos03/introduction-to-decision-trees-titanic-dataset", "kernel_id": "301680"}, {"ref": "sanjaydeo96/titanic-data-analysis-and-ml", "kernel_id": "450524"}, {"ref": "massimoschiappa/survivors-to-the-sinking-of-the-titanic", "kernel_id": "342001"}, {"ref": "liuxinrui/an-interactive-data-science-tutorial-323284", "kernel_id": "302254"}, {"ref": "sainath21/titanic-survivors-prediction", "kernel_id": "352590"}, {"ref": "aelson/first-titanic", "kernel_id": "322580"}, {"ref": "athi94/a-beginner-s-stab-at-titanic", "kernel_id": "327072"}, {"ref": "athi94/investigating-imputation-methods", "kernel_id": "332363"}, {"ref": "tanmayrauth/titanic-data-science-solutions", "kernel_id": "399312"}, {"ref": "masakt/titanic-data-science-solutions", "kernel_id": "407642"}, {"ref": "ancientaxe/basics-of-data-visualization", "kernel_id": "327298"}, {"ref": "carramarse/my-first-kernel-titanic", "kernel_id": "907120"}, {"ref": "yassineghouzam/titanic-top-4-with-ensemble-modeling", "kernel_id": "310093"}, {"ref": "iamprateek/my-first-submission-of-titanic-survival-problem", "kernel_id": "444735"}, {"ref": "asmaaeltaher/titanic", "kernel_id": "670315"}, {"ref": "luistangui/titanicpy", "kernel_id": "304661"}, {"ref": "contactbalvinder/kernel-titanic-problem-py", "kernel_id": "697453"}, {"ref": "dmurthy/5-day-data-challenge-using-titanic-dataset", "kernel_id": "470267"}, {"ref": "shaz13/is-jack-alive-86-8", "kernel_id": "315122"}, {"ref": "qwickening/quincy-s-titantic-notebook", "kernel_id": "305523"}, {"ref": "meggles/titanic-model-training-and-validation", "kernel_id": "305589"}, {"ref": "meggles/titanic-svm-submission-1-0", "kernel_id": "371699"}, {"ref": "meggles/titanic-fresh-feature-engineering", "kernel_id": "358250"}, {"ref": "vikramatjob/exploring-survival-on-the-titanic-var3", "kernel_id": "335876"}, {"ref": "vikramatjob/exploring-survival-on-the-titanic-var1", "kernel_id": "334131"}, {"ref": "vikramatjob/exploring-survival-on-the-titanic-var2", "kernel_id": "335160"}, {"ref": "prabhuanish/an-interactive-data-science-tutorial-b3137d", "kernel_id": "327747"}, {"ref": "jf2333/titanic-solutions-ed327a-one-hot-encoding", "kernel_id": "519507"}, {"ref": "codeastar/using-random-forest-to-find-feature-importance", "kernel_id": "550364"}, {"ref": "kassini/simple-titanic-random-forest", "kernel_id": "306001"}, {"ref": "alphadose/notebook7fd424fea0", "kernel_id": "312907"}, {"ref": "yipcma/catboost-on-a-boat-with-useful-tricks", "kernel_id": "657704"}, {"ref": "yipcma/scikit-learn-ml-from-start-to-finish-modified", "kernel_id": "483538"}, {"ref": "yipcma/step-by-step-on-the-sloping-deck", "kernel_id": "634130"}, {"ref": "hedgehoginfog/finding-meaningful-parameters", "kernel_id": "310540"}, {"ref": "hedgehoginfog/quick-find-meaningful-parameters", "kernel_id": "310554"}, {"ref": "lkm331/titanic-top-4-with-ensemble-modeling", "kernel_id": "310431"}, {"ref": "daigomiyoshi/titanic-analysis", "kernel_id": "443729"}, {"ref": "biplab1989/my-first-kaggle-script", "kernel_id": "311915"}, {"ref": "haoweizhang/titantic-survivor-prediction", "kernel_id": "311649"}, {"ref": "jayeshrane2107/together-this-is-how-they-survived", "kernel_id": "308836"}, {"ref": "nvisona/titanic", "kernel_id": "307638"}, {"ref": "theopainvin/bagging-and-boosting-titanic-passengers", "kernel_id": "367143"}, {"ref": "heysilver/titanic-test", "kernel_id": "333580"}, {"ref": "ayushsri/titanic-through-decision-tree", "kernel_id": "528435"}, {"ref": "dbreves/i-will-survive", "kernel_id": "308077"}, {"ref": "moshfiqur/titanicsurvivorpredictor", "kernel_id": "518782"}, {"ref": "marcospf/titanic-challange-hydramaze", "kernel_id": "308305"}, {"ref": "marcospf/titanic-challenge-hydramaze", "kernel_id": "308309"}, {"ref": "iloyu007/beginner-tutorial-using-votingclassifier-82-27", "kernel_id": "321141"}, {"ref": "manrunning/catboost-for-titanic-top-7", "kernel_id": "322634"}, {"ref": "magnusja/titanic-data-science-solutions", "kernel_id": "362095"}, {"ref": "industrial/test1", "kernel_id": "344294"}, {"ref": "rfrancisco/machine-learning-titanic-disaster-solutions", "kernel_id": "315112"}, {"ref": "rfrancisco/titanic-data-science-solutions-2f9245", "kernel_id": "308180"}, {"ref": "saurabhsh/predict-0-for-men-and-1-for-women", "kernel_id": "316404"}, {"ref": "somasundaram0504/my-first-predict-model-on-titanic-survival", "kernel_id": "315418"}, {"ref": "heyi31/notebookdc872ab00d", "kernel_id": "368545"}, {"ref": "mauricioj/titanic-challenge-hydramaze", "kernel_id": "308311"}, {"ref": "angelicaoliv/titanic-survivors", "kernel_id": "308384"}, {"ref": "chiits007/titanic-dataset-machine-learning", "kernel_id": "309424"}, {"ref": "chiits007/an-interactive-data-science-tutorial-24ca05", "kernel_id": "351175"}, {"ref": "chiits007/titanic-machine-learning", "kernel_id": "375214"}, {"ref": "longruim/mytitanic", "kernel_id": "379555"}, {"ref": "aldrin644/titanic-survival-prediction", "kernel_id": "347682"}, {"ref": "aldrin644/introduction-to-ensembling-stacking-in-python", "kernel_id": "330203"}, {"ref": "aldrin644/titanic-survival", "kernel_id": "326491"}, {"ref": "coderbhkim/first", "kernel_id": "311533"}, {"ref": "superpepe/python-logistic-regretion-0-84", "kernel_id": "321289"}, {"ref": "mwoolf/exploring-survival-on-the-titanic", "kernel_id": "309037"}, {"ref": "feixianhu/1st-titanicsurvivalprediction", "kernel_id": "396296"}, {"ref": "wuguo2017/notebookbb92afa2e1", "kernel_id": "309722"}, {"ref": "deepblacksky/notebook144f11b5c8", "kernel_id": "309808"}, {"ref": "kewalkishang/titanic-model-selection", "kernel_id": "589266"}, {"ref": "honeygupta/titanic-survival-predictor", "kernel_id": "465257"}, {"ref": "huzzah/a-beginner-s-experience-with-titanic", "kernel_id": "415495"}, {"ref": "retrospectprospect/titanic-machine-learning-from-eda-to-xgb", "kernel_id": "310205"}, {"ref": "rshally/short-and-simple-titanic-model", "kernel_id": "314066"}, {"ref": "chrundle/titanic-classification-problem-data-cleaning-py", "kernel_id": "355727"}, {"ref": "prathikraja/titanic-data-analysis", "kernel_id": "354918"}, {"ref": "igormaslenikov/basic-data-analysis", "kernel_id": "333439"}, {"ref": "pmahendra132/exploring-survival-on-the-titanic", "kernel_id": "311978"}, {"ref": "anand1011/scikit-learn-ml-from-start-to-finish", "kernel_id": "313004"}, {"ref": "hidekin2011/first-kaggle-submission-knn-and-logreg", "kernel_id": "364629"}, {"ref": "indranilroychaudhury/an-interactive-data-science-tutorial", "kernel_id": "311185"}, {"ref": "numbersareuseful/titanic-starter-with-xgboost-173-209-lb", "kernel_id": "901846"}, {"ref": "georgejeswin22/titanic-training-dataset-eda-1", "kernel_id": "321373"}, {"ref": "dmdm02/titanic-survivor-data-science-for-beginners", "kernel_id": "829602"}, {"ref": "summit0204/titanic-data-science-solutions", "kernel_id": "383614"}, {"ref": "chucktalbert/titanic-a-tidy-caret-approach-0-8086", "kernel_id": "803784"}, {"ref": "jackiy/titanic-machine-learning-from-disaster-svc", "kernel_id": "414399"}, {"ref": "dushyantthakre/first-submission-titanic", "kernel_id": "489416"}, {"ref": "linzizhan/pytanic", "kernel_id": "338825"}, {"ref": "multinucliated/titanic-gridsearch-k-fold-and-randomforest", "kernel_id": "527166"}, {"ref": "ajkumar/titanic-dead-or-survived", "kernel_id": "384692"}, {"ref": "kylingu/titanic-learning-first-try", "kernel_id": "997063"}, {"ref": "jimmy1990/notebook56315c1f63", "kernel_id": "313625"}, {"ref": "rvishnuvardhanreddy/titanic-data-science-solutions", "kernel_id": "321273"}, {"ref": "jainrashi2804/notebook6c58f0f289", "kernel_id": "438036"}, {"ref": "sinchenkos/my-first-notebook", "kernel_id": "379468"}, {"ref": "sandeeprc/test-notebook-titanic1", "kernel_id": "320525"}, {"ref": "rkmunusamy/titanic-practice", "kernel_id": "312956"}, {"ref": "adityatandon/sample", "kernel_id": "323447"}, {"ref": "adityatandon/titanic-problem-first-submission", "kernel_id": "353075"}, {"ref": "ashes1018/unintended", "kernel_id": "387671"}, {"ref": "ljewell/titanic-hello-world", "kernel_id": "334154"}, {"ref": "shagy27/titanic-data-visualization-and-survival-prediction", "kernel_id": "332498"}, {"ref": "shagy27/titanic-data-analysis", "kernel_id": "324875"}, {"ref": "mahdish/pytanic-survival-from-eda-to-modeling", "kernel_id": "502173"}, {"ref": "atlas555/titanic-data-science-solutions", "kernel_id": "319161"}, {"ref": "iuriibasov/tpot-titanic", "kernel_id": "780274"}, {"ref": "edantonio505/titanic-data-science-solutions", "kernel_id": "407847"}, {"ref": "berhag/titanic-machine-learning-algorithms", "kernel_id": "326594"}, {"ref": "rajanigutta/deep-diving-titanic-dataset", "kernel_id": "421090"}, {"ref": "ninglee/titanic-data-processing-with-python-0-813-e3ebd7", "kernel_id": "321391"}, {"ref": "ninglee/an-interactive-data-science-tutorial", "kernel_id": "314783"}, {"ref": "spektrum/one-more-titanic-kernel", "kernel_id": "317762"}, {"ref": "sergedanson/the-survival-of-titanic-disaster", "kernel_id": "718516"}, {"ref": "lynchd/titanic", "kernel_id": "315285"}, {"ref": "harshal1618/titanic-understanding-variables-distribution", "kernel_id": "342100"}, {"ref": "browooro/titanic-eda-prediction-with-python", "kernel_id": "862406"}, {"ref": "ahmedabdulsalam/titanic-disaster-survivors-python", "kernel_id": "415077"}, {"ref": "ahmedabdulsalam/fork-of-titanic-disaster-survivors-python", "kernel_id": "437696"}, {"ref": "stevenpeutz/titanic-tpred-random-forests-algorithm-python3", "kernel_id": "329329"}, {"ref": "swapkh91/fork-of-first-try", "kernel_id": "339764"}, {"ref": "swapkh91/first-try", "kernel_id": "322235"}, {"ref": "darkcoderrises/sinking-of-the-titanic-in-ml", "kernel_id": "864610"}, {"ref": "ndalziel/who-survives-the-titanic", "kernel_id": "359834"}, {"ref": "forrealhomie/training-continuation-experiment", "kernel_id": "499342"}, {"ref": "theraytracer/titanic-r", "kernel_id": "329274"}, {"ref": "hacker8/first-code-for-others", "kernel_id": "317629"}, {"ref": "vishnu9896/titanic-disaster-analysis-by-vishnu", "kernel_id": "319589"}, {"ref": "vishnu9896/notebook5c26781576", "kernel_id": "319595"}, {"ref": "davidilles/hello-xgboost-on-kaggle", "kernel_id": "318234"}, {"ref": "infeenit/eda-to-prediction-dietanic", "kernel_id": "416632"}, {"ref": "jilkoval/titanic-with-random-forest-and-neural-networks", "kernel_id": "606298"}, {"ref": "vishnusaiv/titanic-data-analysis", "kernel_id": "538400"}, {"ref": "lathigarachirag/predicting-survival-using-ga-genetic-analysis", "kernel_id": "344753"}, {"ref": "lathigarachirag/predicting-survival-using-ga", "kernel_id": "344771"}, {"ref": "chapmajw/james-chapman-kaggle-debut", "kernel_id": "321643"}, {"ref": "dimitreoliveira/titanic-deep-learning-tensorflow-core-api", "kernel_id": "972273"}, {"ref": "burcins/titanic-first-attempt", "kernel_id": "348335"}, {"ref": "thprakash/titanic-first-run", "kernel_id": "388472"}, {"ref": "inoridv/titanic-competition-random-forest-grid-search", "kernel_id": "415814"}, {"ref": "kampfer/test001", "kernel_id": "319120"}, {"ref": "virgodata/exploring-survival-on-the-titanic", "kernel_id": "320288"}, {"ref": "hamzaashraf/titanic-eda", "kernel_id": "345350"}, {"ref": "hamzaashraf/titanic-eda-v1-2", "kernel_id": "345395"}, {"ref": "hench1014/test-for-titanic", "kernel_id": "328077"}, {"ref": "lucabasa/achieve-80-accuracy-with-basic-workflow", "kernel_id": "624751"}, {"ref": "voidale/logistic-regression-neural-network-titanic", "kernel_id": "492764"}, {"ref": "gabrielguc/my-titanic-analysis", "kernel_id": "520768"}, {"ref": "gabrielguc/neural-titanic", "kernel_id": "521922"}, {"ref": "harish2194/getting-started-with-titanic-dataset", "kernel_id": "358682"}, {"ref": "gjzzcc/notebooka607ad6472", "kernel_id": "320063"}, {"ref": "yup2017/2-lines-of-code-to-4", "kernel_id": "332357"}, {"ref": "dearyoungjo/very-short-notebook-for-titanic-dataset", "kernel_id": "325429"}, {"ref": "harryem/titanic-comparing-two-approaches-for-missing-data", "kernel_id": "456649"}, {"ref": "harryem/feature-engineering-on-the-titanic-for-0-81339", "kernel_id": "400178"}, {"ref": "octaviosantana/model-combos-0-77511", "kernel_id": "525698"}, {"ref": "octaviosantana/choosing-the-model", "kernel_id": "513106"}, {"ref": "dvaida/tl-dr-reverse-engineering-the-titanic-survivors", "kernel_id": "344640"}, {"ref": "woliveira/notebookcbebbc68f0", "kernel_id": "329430"}, {"ref": "woliveira/hello-titanic", "kernel_id": "321355"}, {"ref": "xxxmatxxx/titanic-getting-started-with-randomforest", "kernel_id": "413234"}, {"ref": "dkim1992/improving-classification-with-stacking", "kernel_id": "410473"}, {"ref": "nyraju/titanic-data-science-solutions", "kernel_id": "321772"}, {"ref": "ravikrishnareddy/titanic-survival-prediction", "kernel_id": "748664"}, {"ref": "gbyy422990/using-tensorflow-by-gao-bin", "kernel_id": "324858"}, {"ref": "gautamuoa/titanic-survival-rate-prediction", "kernel_id": "703082"}, {"ref": "gautamuoa/visualization-of-titanic-dataset", "kernel_id": "650176"}, {"ref": "tushar97/let-s-predict", "kernel_id": "382434"}, {"ref": "ishanmunjal08/my-first-project", "kernel_id": "876790"}, {"ref": "ccastleberry/titanic-second-pass", "kernel_id": "461390"}, {"ref": "ccastleberry/titanic-cabin-features", "kernel_id": "476307"}, {"ref": "mrtsjolder/kaggle-101-bruteforce-titanic", "kernel_id": "322511"}, {"ref": "vijaygiri/my-first-submission-titanic-using-python", "kernel_id": "325486"}, {"ref": "thushear/titanic-data-science-solutions", "kernel_id": "322832"}, {"ref": "karaage0703/titanic-tutorial", "kernel_id": "769747"}, {"ref": "abhinavralhan/exploring-survival-on-the-titanic", "kernel_id": "324609"}, {"ref": "abhinavralhan/scikit-learn-ml-from-start-to-finish-fd106a", "kernel_id": "324602"}, {"ref": "abhinavralhan/a-journey-through-titanic", "kernel_id": "431992"}, {"ref": "jprukundo/titanic-in-py-with-random-forest-of-sklearn-lib", "kernel_id": "325303"}, {"ref": "jprukundo/neural-network-on-titanic-in-py", "kernel_id": "325565"}, {"ref": "jprukundo/deep-neural-network-on-titanic-in-py", "kernel_id": "325734"}, {"ref": "jprukundo/titanic-in-r-with-naive-bayes-of-mlr-package", "kernel_id": "323942"}, {"ref": "chueyc/titanic-cyc", "kernel_id": "328952"}, {"ref": "austinedsouza/titanic-allfemalessurvive", "kernel_id": "329227"}, {"ref": "drwilliamssteven/titanic-survival-logistic-regression", "kernel_id": "516548"}, {"ref": "mock6993/mm-first-attempt-at-kaggle", "kernel_id": "434647"}, {"ref": "mcliff/exploring-survival-on-the-titanic", "kernel_id": "436704"}, {"ref": "luxjy86/the-easiest-way-to-find-titanic-survivors", "kernel_id": "330298"}, {"ref": "ankit20071991/titanic-with-logistics", "kernel_id": "337281"}, {"ref": "praveen96/kernelb95579a76a", "kernel_id": "593505"}, {"ref": "dkondratiuk/my-first-kernel", "kernel_id": "325514"}, {"ref": "angelgmedina/selection-features-in-titanic-score-0-818-0-804", "kernel_id": "331825"}, {"ref": "vikrammitra/survival-prediction-using-stacked-ensemble-xgboost", "kernel_id": "663316"}, {"ref": "derekku/an-interactive-data-science-tutorial", "kernel_id": "324820"}, {"ref": "yongtaoma/a-journey-through-titanic-for-gcma", "kernel_id": "527899"}, {"ref": "yongtaoma/gcma-test", "kernel_id": "533896"}, {"ref": "davidvelat/titaniclearningdl", "kernel_id": "400002"}, {"ref": "lijingjing/myfirstkaggle", "kernel_id": "329941"}, {"ref": "olivito/predicting-titanic-survivors-with-basic-ml", "kernel_id": "335564"}, {"ref": "vachelc/an-interactive-data-science-tutorial", "kernel_id": "329095"}, {"ref": "amansolanki/first-attempt", "kernel_id": "986473"}, {"ref": "warmachineroxx/titanic-survival-prediction", "kernel_id": "345341"}, {"ref": "lakeron/gradientboostingclassifier-80-111111", "kernel_id": "326238"}, {"ref": "andrzejchesiak/titanic-data-analysis", "kernel_id": "326257"}, {"ref": "mohit60000/pytanic", "kernel_id": "326269"}, {"ref": "geha86/straight-forward-usage-of-random-forest", "kernel_id": "327098"}, {"ref": "domini/titanic-data-exploration-and-modelling", "kernel_id": "891178"}, {"ref": "nileshvarshney1/titanic-predict-survival", "kernel_id": "336389"}, {"ref": "sudeep88/titanic-survivors-classification-using-pca", "kernel_id": "331321"}, {"ref": "seraybeser/accuracy-77-99-no-feature-engineering", "kernel_id": "418351"}, {"ref": "matsiiako/notebook3fc0e2bff0", "kernel_id": "331335"}, {"ref": "cgoods94/titanic-competition-combining-the-tutorials", "kernel_id": "369075"}, {"ref": "minsukheo/titanic-solution-with-sklearn-classifiers", "kernel_id": "412853"}, {"ref": "rodrigosm87/titanic-competition-based-on-dataquest-course", "kernel_id": "415135"}, {"ref": "eavdeeva/titanic-look-count-classify", "kernel_id": "340331"}, {"ref": "eltonpaes/titanic-survivals-with-svm", "kernel_id": "329507"}, {"ref": "barryhughes/how-to-do-a-very-simple-first-submission", "kernel_id": "361850"}, {"ref": "pashern/a-dumb-titanic-survival-guide", "kernel_id": "521725"}, {"ref": "shrutisaxena0617/exploring-titanic-dataset-for-survival-if-only", "kernel_id": "533257"}, {"ref": "vstauber/mlp-binary-classifier", "kernel_id": "365153"}, {"ref": "speyrat/first-forked-titanic-kernel", "kernel_id": "328416"}, {"ref": "pramodkp/easy-to-understand-titanic-predictions", "kernel_id": "337361"}, {"ref": "blackyuanc/titanic-challenge-using-gbclassifier", "kernel_id": "339835"}, {"ref": "blackyuanc/titanic-first-try", "kernel_id": "328255"}, {"ref": "peterwongmary/my-approach-to-titanic-competition-772b72", "kernel_id": "328454"}, {"ref": "cheaps10/first-kaggle-submission-exploring-model-options", "kernel_id": "790953"}, {"ref": "miriambrandt/titanic-machine-learning-from-disaster", "kernel_id": "572705"}, {"ref": "eagle97/a-journey-through-titanic", "kernel_id": "355577"}, {"ref": "shitalsawant/liner-svm-two-variables-py", "kernel_id": "333046"}, {"ref": "dprater513/classifying-titanic-survivors-svm-logreg-knn", "kernel_id": "484210"}, {"ref": "fantopop/xgboost-for-titanic-survival-predictions", "kernel_id": "366725"}, {"ref": "cz920428/titanic-sinking", "kernel_id": "329660"}, {"ref": "guillean/yet-another-titanic-kernel", "kernel_id": "330891"}, {"ref": "atalanteonthefly/logistic-regression-from-scratch", "kernel_id": "338374"}, {"ref": "atalanteonthefly/titanic-complete-solution", "kernel_id": "881037"}, {"ref": "rahul897/my-first", "kernel_id": "345381"}, {"ref": "rahul897/scikit-learn-ml-from-start-to-finish", "kernel_id": "330178"}, {"ref": "jugglingjassi/data-analytics-kickoff-titanic-competition", "kernel_id": "331223"}, {"ref": "fabiocorreacordeiro/udacity-nanodegree-first-project", "kernel_id": "417630"}, {"ref": "reppic/exploring-passenger-nationality", "kernel_id": "449062"}, {"ref": "bodhwani/basic-coding-titanic-competition-from-kaggle", "kernel_id": "330929"}, {"ref": "nityeshaga/data-science-exploration-on-the-titanic", "kernel_id": "443740"}, {"ref": "jkevin2010/titanic-survival-prediction", "kernel_id": "333267"}, {"ref": "jkevin2010/titanic-survival-using-decision-trees", "kernel_id": "333345"}, {"ref": "jkevin2010/improved-model-for-titanic-survival", "kernel_id": "334326"}, {"ref": "wolfgangb33r/titanic-tensorflow", "kernel_id": "497631"}, {"ref": "manojsakhala/titanic-dataset-solution", "kernel_id": "346130"}, {"ref": "guiheneuc/titanic-ml-team-notebook", "kernel_id": "335324"}, {"ref": "raghavmishra/first-titanic", "kernel_id": "356971"}, {"ref": "prabhatjha18/first-ds-project", "kernel_id": "511327"}, {"ref": "jmalhot/titanic-problem-solving", "kernel_id": "367011"}, {"ref": "wangyong101/pipeline-hyper-tuning-f1-scoring", "kernel_id": "368703"}, {"ref": "wangyong101/study-of-an-interactive-data-science-tutorial", "kernel_id": "343257"}, {"ref": "luthra/my-first-notebook", "kernel_id": "332751"}, {"ref": "luthra/titanic-survival", "kernel_id": "335901"}, {"ref": "impratiksingh/titanic-survival-prediction", "kernel_id": "547126"}, {"ref": "sanjayrakshit/my-first-kaggle-kernel", "kernel_id": "642719"}, {"ref": "unstablematter/titanic-kernel", "kernel_id": "364364"}, {"ref": "zengzhixian/a-journey-through-titanic", "kernel_id": "337323"}, {"ref": "renatoadolfs/treinamento", "kernel_id": "340839"}, {"ref": "kingwilliam/titanic-mr-xue", "kernel_id": "348370"}, {"ref": "simplyaj/first", "kernel_id": "335987"}, {"ref": "hsseinmz/titanic-python", "kernel_id": "514057"}, {"ref": "erfanmhi/notebooke171924616", "kernel_id": "334484"}, {"ref": "mihirgarg/titanic-dataset-analysis", "kernel_id": "507342"}, {"ref": "chinguyen2303/notebookc4d3b63a21", "kernel_id": "402333"}, {"ref": "longyin2/titanic-machine-learning-from-disaster-0-842", "kernel_id": "335951"}, {"ref": "longyin2/pb-0-842-titanic-machine-learning-from-disastr", "kernel_id": "336021"}, {"ref": "longyin2/pb-score-0-842-learning-from-others", "kernel_id": "336027"}, {"ref": "shubhamcagel/titanic-survival-python-solution", "kernel_id": "335332"}, {"ref": "richardpberry/data-exploration-with-python", "kernel_id": "947519"}, {"ref": "roniii/titanic-first-try", "kernel_id": "496765"}, {"ref": "roniii/simple-effective-comprehensive-solution-titanic", "kernel_id": "596702"}, {"ref": "roniii/titanic-izpy-solution", "kernel_id": "574725"}, {"ref": "roniii/data-science-titanic-competition-accuracy-83", "kernel_id": "526677"}, {"ref": "aquilarif/explore-titanic-r", "kernel_id": "340301"}, {"ref": "shay23/titanic-leo", "kernel_id": "342770"}, {"ref": "miklgr500/catboost-with-gridsearch-cv", "kernel_id": "568338"}, {"ref": "ravikn/titanic-first-ml-project", "kernel_id": "370784"}, {"ref": "ayansengupta17/pandas-basics", "kernel_id": "952507"}, {"ref": "wenjiebai/modified-titanic-best-working-classifier", "kernel_id": "816910"}, {"ref": "prasadsawant1107/predicting-survival-on-titanic", "kernel_id": "336916"}, {"ref": "tflare/testing-multiple-models-with-scikit-learn-0-79425", "kernel_id": "350930"}, {"ref": "rustbucket/titanic-random-forest-82-78", "kernel_id": "339819"}, {"ref": "aolmoher/the-titanic-problem-from-a-noob-perspective", "kernel_id": "344020"}, {"ref": "ericfeng84/introduction-for-data-science-top-30", "kernel_id": "354916"}, {"ref": "dkyleward/xgboost-using-mlr-package-r", "kernel_id": "342886"}, {"ref": "bitlycv/introduction-to-ensembling-stacking-in-pyth-ee6bbf", "kernel_id": "338474"}, {"ref": "cihansoylu/titanic-competion", "kernel_id": "848577"}, {"ref": "cihansoylu/titanic-data-set-basic-data-analysis", "kernel_id": "848515"}, {"ref": "pomoooo/dytanic", "kernel_id": "377661"}, {"ref": "courfulman/an-interactive-data-science-tutorial", "kernel_id": "341988"}, {"ref": "snigdha06/titanic-prediction", "kernel_id": "370545"}, {"ref": "coolphilchen/introduction-to-ensembling-stacking-in-python", "kernel_id": "339020"}, {"ref": "aditi2009/titanic-data-science-solution", "kernel_id": "574764"}, {"ref": "gilbo123/titanic-predictions", "kernel_id": "419606"}, {"ref": "yssefunc/best-feature-and-model-selection-for-titanic", "kernel_id": "726602"}, {"ref": "yanzhen0923/titanic-data-science-solutions", "kernel_id": "341382"}, {"ref": "gomes555/machine-learning-com-dados-da-base-titanic", "kernel_id": "670790"}, {"ref": "san7911/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "778249"}, {"ref": "san7911/titanic-data-science-solutions", "kernel_id": "340560"}, {"ref": "san7911/titanictest", "kernel_id": "340705"}, {"ref": "kleinebiene/titanic", "kernel_id": "370310"}, {"ref": "sbernadac/titanic-with-keras", "kernel_id": "388305"}, {"ref": "roguelous/titanic-survivor-model", "kernel_id": "354285"}, {"ref": "zhenhuawang/notebook34b42090e3", "kernel_id": "346774"}, {"ref": "bsivavenu/titanic-survival-predictions-with-randomforest", "kernel_id": "365005"}, {"ref": "snig12swain/the-case-of-titanic", "kernel_id": "681938"}, {"ref": "danielfe/deck-sides-of-the-ship-extending-startupsci-s", "kernel_id": "685487"}, {"ref": "sivapallem/titanic", "kernel_id": "341879"}, {"ref": "naveenmanwani/titanic-for-beginners", "kernel_id": "358132"}, {"ref": "naveenmanwani/titanic-data-science-solutions-7eafbb", "kernel_id": "357940"}, {"ref": "dsjhala/simple-notebook-titanic", "kernel_id": "346638"}, {"ref": "lucasmchang/titanic-ensemble-model", "kernel_id": "342350"}, {"ref": "cleuton/titanic-first-trial-with-keras-tensorflow", "kernel_id": "381964"}, {"ref": "fisher87/titanic", "kernel_id": "522048"}, {"ref": "tapabrata2009/titanic", "kernel_id": "432414"}, {"ref": "rhitamjeet/titanic-tutorial-eda-arm-ensemble-learning", "kernel_id": "475887"}, {"ref": "liopic/refining-new-features-using-adaboostclassifier", "kernel_id": "713938"}, {"ref": "asankaj/titanic-random-forest", "kernel_id": "379296"}, {"ref": "secwang/a-journey-through-titanic", "kernel_id": "351359"}, {"ref": "l3r4nd/titanic-prediction-with-svm", "kernel_id": "403063"}, {"ref": "leozwang/titanicmltest", "kernel_id": "424123"}, {"ref": "natehenderson/titanic-logistic-regression-python", "kernel_id": "446890"}, {"ref": "marsanow/first-machine-learning-project-with-titanic", "kernel_id": "388731"}, {"ref": "naotopimra/first-submit", "kernel_id": "349971"}, {"ref": "justinminsk/machine-learning-with-titanic-data-set", "kernel_id": "530466"}, {"ref": "dejavu23/titanic-survival-seaborn-and-ensembles", "kernel_id": "454897"}, {"ref": "dejavu23/titanic-eda-to-ml-beginner", "kernel_id": "510158"}, {"ref": "mmanta/titanic-challenge-sklearn-ensemble", "kernel_id": "353623"}, {"ref": "leblondmorgan/titanic-machine-learning", "kernel_id": "355117"}, {"ref": "ceciliahslee/surviving-the-titanic-shipwreck-eda", "kernel_id": "484769"}, {"ref": "parasjindal96/huh-titanic", "kernel_id": "419910"}, {"ref": "vacarey/titanic-random-forest-extra-trees-v2a-0-79425", "kernel_id": "380518"}, {"ref": "vacarey/removed-duplicate", "kernel_id": "380252"}, {"ref": "vacarey/titanic-random-forest-extra-trees-v3-0-79904", "kernel_id": "381742"}, {"ref": "rtintor/my-first-simple-r-kernel", "kernel_id": "445736"}, {"ref": "lyuyanhan/multiple-models-and-voting-classifier", "kernel_id": "352594"}, {"ref": "hjbahng/logistic-regression-with-titanic-data", "kernel_id": "356998"}, {"ref": "sdoddyjm67/titanic-data-science-solutions", "kernel_id": "443291"}, {"ref": "alahley/adam-lahley-titanic-rescue-mission", "kernel_id": "357576"}, {"ref": "coke680/titanic-competition-first-approach-and-analysis", "kernel_id": "362991"}, {"ref": "shanzhaowang/titanic-project-practice-shan", "kernel_id": "354567"}, {"ref": "jijie309/titanic-test", "kernel_id": "380736"}, {"ref": "souravstat/beginners-titanic", "kernel_id": "455141"}, {"ref": "vedicpartap/titanic-solution-logistic-regression", "kernel_id": "516162"}, {"ref": "raphaelsourty/top-5-xgboost-tunning-first-competition", "kernel_id": "435179"}, {"ref": "jkdudadude/an-interactive-data-science-tutorial", "kernel_id": "490338"}, {"ref": "raghavarora/rms-titanic", "kernel_id": "377778"}, {"ref": "saikiranc/basic-analysis-prediction-of-survival-in-python", "kernel_id": "348721"}, {"ref": "pradeeptripathi/prediction-of-titanic-survival-using-r", "kernel_id": "347495"}, {"ref": "pradeeptripathi/prediction-of-titanic-survival-using-random-forest", "kernel_id": "347505"}, {"ref": "zhangwuya/genetic-programming-lb-0-88", "kernel_id": "426564"}, {"ref": "mack0094/learning-materials-on-kaggle", "kernel_id": "389410"}, {"ref": "mack0094/notebook086838aaa0", "kernel_id": "431936"}, {"ref": "aditinandwana/an-titanic", "kernel_id": "348223"}, {"ref": "yuxuzi/a-compact-version-of-a-journey-through-titanic", "kernel_id": "349668"}, {"ref": "kngines/partial-dependence-plots", "kernel_id": "596612"}, {"ref": "phawkins/titanic-data-science-solutions", "kernel_id": "348970"}, {"ref": "priyankagupta0194/titanic-kernel-1", "kernel_id": "778706"}, {"ref": "rajuanalytics/titanicdistastersurvivalanalysis", "kernel_id": "367771"}, {"ref": "ivanov1917/0-77511-in-five-lines", "kernel_id": "369762"}, {"ref": "villegasjuanf/using-trees", "kernel_id": "362237"}, {"ref": "andrewwinnenberg/an-interactive-data-science-tutorial", "kernel_id": "351817"}, {"ref": "kitawaki1993/randam-forest-sample", "kernel_id": "370709"}, {"ref": "vishalyo990/titanic-dataset-logistic-regression-and-eda", "kernel_id": "523798"}, {"ref": "shubham23471/titanic-survival-prediction-beginner-80-precision", "kernel_id": "350352"}, {"ref": "tarrytops/titanic-data-science-solutions", "kernel_id": "464986"}, {"ref": "mogady/titanic-data-set-analysis", "kernel_id": "352973"}, {"ref": "imhgchoi/implementing-various-models-on-the-titanic-dataset", "kernel_id": "409168"}, {"ref": "imhgchoi/implementing-various-models-on-titanic-dataset", "kernel_id": "409195"}, {"ref": "ioanniswd/quakitanic", "kernel_id": "351147"}, {"ref": "jananesekaran/tensorflow-easy-start-with-logistic-regression", "kernel_id": "356222"}, {"ref": "jananesekaran/visualizing-decision-boundaries-with-titanic", "kernel_id": "360332"}, {"ref": "beaubellamy/titanic-model", "kernel_id": "385571"}, {"ref": "bodealamu007/beginner-machine-learning-prediction-titanic", "kernel_id": "545442"}, {"ref": "bodealamu007/a-journey-through-titanic-74f17b", "kernel_id": "545435"}, {"ref": "bjjaiswal123/my-first-work-on-kaggle-titanic-problem", "kernel_id": "351492"}, {"ref": "green05031/first-competition", "kernel_id": "372059"}, {"ref": "hb20007/from-zero-to-random-forest-classifier-explained", "kernel_id": "694641"}, {"ref": "hb20007/simple-visualization", "kernel_id": "689119"}, {"ref": "luogangnk/deep-analysis-simple-methods", "kernel_id": "352928"}, {"ref": "kishvanchee/titanic-exploration-and-prediction", "kernel_id": "462696"}, {"ref": "mahyar511/titanic-survivors-history-lesson", "kernel_id": "363065"}, {"ref": "coderswartz/the-boat-that-don-t-float", "kernel_id": "351917"}, {"ref": "hungdo1291/another-attempt", "kernel_id": "358281"}, {"ref": "hungdo1291/a-journey-through-titanic", "kernel_id": "358200"}, {"ref": "hungdo1291/titanic-3rd-attempt", "kernel_id": "358253"}, {"ref": "vedantpawar/titanic-are-you-ready-for-it", "kernel_id": "479474"}, {"ref": "dreaminggirl88/decision-tree-with-r", "kernel_id": "353558"}, {"ref": "ben1kaggle/titanic-in-depth-analysis-beginner-friendly", "kernel_id": "352333"}, {"ref": "mlwang32/titanic-practice", "kernel_id": "704113"}, {"ref": "assumewisely/titanic-data-science-solutions", "kernel_id": "355371"}, {"ref": "sappy5678/kaggle-titantic-keras-v1-0", "kernel_id": "568087"}, {"ref": "shashankseth/basic-eda-and-ml-on-titanic-dataset", "kernel_id": "561758"}, {"ref": "klemenko/using-matplotlib-numpy-and-pandas-in-titanic", "kernel_id": "461327"}, {"ref": "jpadilhas/titanic-predi-o-de-sobreviventes-em-portugu-s", "kernel_id": "502272"}, {"ref": "lstguardleft/notebookf634b4ac48", "kernel_id": "426305"}, {"ref": "kallolsamanta/0-7945-using-rf-svm-gba-and-their-ensembles", "kernel_id": "542243"}, {"ref": "raoulma/titanic-survival-class-79-90-test-acc", "kernel_id": "512552"}, {"ref": "kambojatul20/titanic-first", "kernel_id": "354892"}, {"ref": "kambojatul20/machine-learning-from-disaster", "kernel_id": "361329"}, {"ref": "ekam123/titanic-workflow", "kernel_id": "703245"}, {"ref": "priyansh2/titanic-machine-learning-from-disaster", "kernel_id": "447436"}, {"ref": "chrisyoungkg/fork-of-1-titanic-survived-mining", "kernel_id": "354488"}, {"ref": "levine/introduction-to-ensembling-stacking-in-pyth-8bd400", "kernel_id": "360143"}, {"ref": "cteling/sex-passenger-class-family-size-alone", "kernel_id": "377333"}, {"ref": "segfaultalert/my-submission-to-titanic", "kernel_id": "516279"}, {"ref": "aafaqzahid11/diving-with-titanic", "kernel_id": "367263"}, {"ref": "novemberde/titanic-data-science-solutions-3d5219", "kernel_id": "420138"}, {"ref": "appleface2050/scikit-learn-ml-from-start-to-finish-e643f5", "kernel_id": "426235"}, {"ref": "hakantoguc/titanic-dataset-trial", "kernel_id": "360805"}, {"ref": "johnfrombluff/machine-learning-with-caret-r-package", "kernel_id": "357634"}, {"ref": "vivekupadhyay/titanic", "kernel_id": "441566"}, {"ref": "boes123/titanic-mathijs-van-boesschoten", "kernel_id": "367908"}, {"ref": "jmanders/dse-titanic", "kernel_id": "368100"}, {"ref": "jobvancreij/titanic", "kernel_id": "366906"}, {"ref": "jfrisch/simple-tree-boosting-approach", "kernel_id": "358415"}, {"ref": "ffaraz/when-you-are-lazy-don-t-know-much-mlearning", "kernel_id": "509527"}, {"ref": "aniketdutta777/titanic-analysis-report", "kernel_id": "877023"}, {"ref": "nadintamer/titanic-survival-predictions-beginner", "kernel_id": "412422"}, {"ref": "misko07/feature-engineering-scaling-and-model-comparison", "kernel_id": "388690"}, {"ref": "sotaleb/titaniclogisticregtf", "kernel_id": "362439"}, {"ref": "jmarroyave/intro-to-data-science-learning-from-titanic", "kernel_id": "367238"}, {"ref": "jmarroyave/notebook97b3a6f33e", "kernel_id": "367190"}, {"ref": "vgsantoniazzi/neural-networks-a-journey-through-titanic", "kernel_id": "897029"}, {"ref": "johnhawver/titanic-kernal-logistic", "kernel_id": "358331"}, {"ref": "sirsona/eda-to-prediction-dietanic", "kernel_id": "463208"}, {"ref": "jithinpjames/the-titanic-problem-my-first-attempt-in-kaggle", "kernel_id": "756825"}, {"ref": "d123456ddq/eda-to-prediction-dietanic", "kernel_id": "445860"}, {"ref": "rushatrai/random-forest-classifier-for-titanic-dataset", "kernel_id": "443515"}, {"ref": "fazallahori/random-forest", "kernel_id": "469805"}, {"ref": "victorcoo/learn01-titanic-with-mlpclassifier-mlpregressor", "kernel_id": "359330"}, {"ref": "grayengineering425/visualization-and-predictions-for-titanic-dataset", "kernel_id": "705480"}, {"ref": "oceanzy/titanic-with-tensorflow", "kernel_id": "371970"}, {"ref": "oceanzy/titanic", "kernel_id": "402252"}, {"ref": "jurgenp/my-first-ml-model-in-python", "kernel_id": "713901"}, {"ref": "rogerrobot/introduction-to-ensembling-stacking-in-python", "kernel_id": "360670"}, {"ref": "hravat/titanic-dataset-logistic-regression-modeling", "kernel_id": "361628"}, {"ref": "hravat/titanic-dataset-log-regression-modeling-script", "kernel_id": "384106"}, {"ref": "upendr/titanic-machine-learning-from-disaster-notebook", "kernel_id": "418152"}, {"ref": "upendr/titanic-machine-learning-from-disaster", "kernel_id": "418006"}, {"ref": "gautamsundar/titanic", "kernel_id": "546946"}, {"ref": "willemw/titanic-willem-wijgergangs", "kernel_id": "367912"}, {"ref": "alonlavian/notebook7b9787d0cd", "kernel_id": "419713"}, {"ref": "bilal1994/titanic-101", "kernel_id": "474444"}, {"ref": "navjindervirdee/titanic-predictions-neural-network-decisiontree", "kernel_id": "393703"}, {"ref": "sushilks/tensorflow-model-andrew-ng-class-beginner", "kernel_id": "371570"}, {"ref": "sushilks/a-tensorflow-based-approach-beginner", "kernel_id": "368646"}, {"ref": "jasonhit/first-script-for-kaggle-titanic", "kernel_id": "445835"}, {"ref": "jenioai/exploring-survival-on-the-titanic", "kernel_id": "375265"}, {"ref": "jenioai/titanic-data-analysis-rf-prediction-0-81818", "kernel_id": "375266"}, {"ref": "jenioai/predicting-survival-on-the-titanic", "kernel_id": "375269"}, {"ref": "jenioai/decision-tree-visualization-submission", "kernel_id": "375279"}, {"ref": "anborde/5-day-data-challenge-day-3", "kernel_id": "475952"}, {"ref": "anborde/5-day-data-challenge-day-4", "kernel_id": "478180"}, {"ref": "anborde/5-day-data-challenge-day-5", "kernel_id": "480299"}, {"ref": "anborde/5-day-data-challenge-day-2", "kernel_id": "473192"}, {"ref": "naveenslog/titanic-analysis-logisticregression", "kernel_id": "773126"}, {"ref": "ghyune/tatanic-practice", "kernel_id": "397893"}, {"ref": "renying/prediction-of-titanic-tragedy", "kernel_id": "482738"}, {"ref": "sivi123/how-to-run-kaggle-competition-on-local-computer", "kernel_id": "895721"}, {"ref": "daansterk/titanic-daan-sterk", "kernel_id": "363889"}, {"ref": "jseipp/jadseipp-titanic", "kernel_id": "368877"}, {"ref": "wastemanfazzi/an-interactive-data-science-tutorial", "kernel_id": "515566"}, {"ref": "hisnibs/titanic-enhancing-the-training-data-and-kis", "kernel_id": "365767"}, {"ref": "anshumank/titanic-survivor-prediction", "kernel_id": "809886"}, {"ref": "durgaprasadreddyv/titanic-survival", "kernel_id": "380089"}, {"ref": "matheusbaars/titanic-with-logistic-regression", "kernel_id": "446481"}, {"ref": "arshid/titanic-machine-learning-from-disaster-solution", "kernel_id": "691661"}, {"ref": "rjconstable/titanic-bow-to-stern-in-python", "kernel_id": "679681"}, {"ref": "kopernicov/first-attemp-using-voting-classifier", "kernel_id": "378979"}, {"ref": "dyrelunddata/titanic-prediction-with-decision-tree-in-python", "kernel_id": "802252"}, {"ref": "juyoungsarachoi/juyoungsarachoi-first-titanic1", "kernel_id": "563985"}, {"ref": "juyoungsarachoi/practice-7-jeff-delaney", "kernel_id": "976474"}, {"ref": "mkempers/titanic-first-try", "kernel_id": "365874"}, {"ref": "bismillahkani/predicting-titanic-survivors", "kernel_id": "543500"}, {"ref": "kevingduck/surviving-the-titanic", "kernel_id": "433450"}, {"ref": "vivekchatt/separating-known-from-unsure-predictions-lr", "kernel_id": "554812"}, {"ref": "rajivbesant/titanic-rajiv-besant", "kernel_id": "367170"}, {"ref": "gijsoh/jad-gij-s", "kernel_id": "366989"}, {"ref": "jasper2017/titanickernel", "kernel_id": "367041"}, {"ref": "nickpenninx/nick-penninx-jads-premaster-data-science", "kernel_id": "367910"}, {"ref": "ddst28/debbied", "kernel_id": "375722"}, {"ref": "astridvandenbrandt/notebook74e97994a3", "kernel_id": "367780"}, {"ref": "dougdaly/hypothesis-based-approach-to-surviving-icebergs", "kernel_id": "372747"}, {"ref": "eduardoab/notebook3080e67420", "kernel_id": "367509"}, {"ref": "neerajkasturi/chance-of-being-alive-on-titanic", "kernel_id": "416227"}, {"ref": "vin1234/best-titanic-survival-prediction-for-beginners", "kernel_id": "604207"}, {"ref": "zhangka/titanic-trial-2", "kernel_id": "550010"}, {"ref": "zjuyuchen/notebook4bcab5466a", "kernel_id": "372131"}, {"ref": "emmanuelol/mi-primer-intento-con-el-titanic", "kernel_id": "415435"}, {"ref": "meilinhe/ml-on-titanic-survivors-dataset-basic", "kernel_id": "368488"}, {"ref": "msaeedi/4-classifiers-for-titanic-dataset", "kernel_id": "380256"}, {"ref": "ikethemike/first-shot-at-a-titan", "kernel_id": "376790"}, {"ref": "jp30101995/notebook58be30fffe", "kernel_id": "382296"}, {"ref": "hamishdickson/playing-with-decision-tree-classifiers", "kernel_id": "945300"}, {"ref": "tbyrnes/titanic-visualization-attempt", "kernel_id": "504496"}, {"ref": "nikhack16/titanicsurvivorprediction", "kernel_id": "493921"}, {"ref": "bobron/ronc-assignment1", "kernel_id": "379033"}, {"ref": "spldxdyy/notebook7334f38062", "kernel_id": "379337"}, {"ref": "ccummin/predicting-fate-of-titanic-passengers", "kernel_id": "376996"}, {"ref": "schwery/titanic-learning", "kernel_id": "378410"}, {"ref": "schwery/brandonsroncbriang-a2-notebook-code", "kernel_id": "464327"}, {"ref": "schwery/brandonsroncbriang-a2-script", "kernel_id": "464331"}, {"ref": "schwery/brandonsroncbriang-a2-notebook", "kernel_id": "464256"}, {"ref": "armalit/amalito-a2-notebook", "kernel_id": "466212"}, {"ref": "kbc8894/tutorial-titanic-with-tensorflow", "kernel_id": "389361"}, {"ref": "jiangzuo/1-10-logistic-regression-titanic", "kernel_id": "520077"}, {"ref": "jiangzuo/1-10-logistic-regression-titanic-homework", "kernel_id": "520080"}, {"ref": "steffenritter/test-kernel", "kernel_id": "369713"}, {"ref": "pietrodimarco/titanic-data", "kernel_id": "663694"}, {"ref": "vanaml/more-on-feature-engineering", "kernel_id": "518548"}, {"ref": "vanaml/notebook73a2baba2f", "kernel_id": "521841"}, {"ref": "cesarcf1977/just-another-titanic-kernel", "kernel_id": "461024"}, {"ref": "pkzgy1989/titanic-survivor-geometry-fb5f14", "kernel_id": "418188"}, {"ref": "raziel1511/impact-of-features-on-simple-neural-networks", "kernel_id": "372780"}, {"ref": "kanhuachary/exploring-survival-on-the-titanic", "kernel_id": "436523"}, {"ref": "magalps/titanic-survival-python-solution", "kernel_id": "477733"}, {"ref": "sangarshanan/analysis-of-algorithms", "kernel_id": "745559"}, {"ref": "sec147/fork-of-first-kaggle-comp", "kernel_id": "644446"}, {"ref": "adamdoman/a-doman-fork-of-scikit-learn-ml-from-s-to-f", "kernel_id": "379244"}, {"ref": "scristofari/first-notebook", "kernel_id": "907040"}, {"ref": "mikecui33/notebooke36bb8f2b8", "kernel_id": "372565"}, {"ref": "manumg11/myfirst-ml-analysis", "kernel_id": "381690"}, {"ref": "skalskip/predicting-survival-on-the-titanic", "kernel_id": "389806"}, {"ref": "helenykwang/copywriter-with-steven", "kernel_id": "386761"}, {"ref": "herend/titanic-data-science-walk-through", "kernel_id": "508191"}, {"ref": "jatturat/finding-important-factors-to-survive-titanic", "kernel_id": "373189"}, {"ref": "evanli1999/titanic-a-demo-of-pandas-and-scikit-learn", "kernel_id": "381898"}, {"ref": "jzadroga/first-go", "kernel_id": "852685"}, {"ref": "bgrich/titanic-eda-using-xray-package", "kernel_id": "500968"}, {"ref": "bgrich/first-pass-at-titanic-data-set", "kernel_id": "380395"}, {"ref": "liuyanzhi/titanic", "kernel_id": "376472"}, {"ref": "ankurnashier/titanic-ml-survival-prediction-model", "kernel_id": "914264"}, {"ref": "ojimah391/notebook329bea42c2", "kernel_id": "374192"}, {"ref": "ojimah391/an-interactive-data-science-tutorial", "kernel_id": "379564"}, {"ref": "drojasug/titanic", "kernel_id": "378309"}, {"ref": "srkirkland/titanic-with-tensorflow", "kernel_id": "383542"}, {"ref": "thomill/scikit-learn-ml-from-start-to-finish-8c4834", "kernel_id": "378964"}, {"ref": "suncor/titanic-logistic-regression", "kernel_id": "748940"}, {"ref": "alamgirm/predicting-survival-on-titanic-dataset", "kernel_id": "406867"}, {"ref": "ulique12/an-interactive-data-science-tutorial", "kernel_id": "376296"}, {"ref": "arjaiswal/titanic-ml-sklearn", "kernel_id": "773617"}, {"ref": "yoanbid/titanic-survival-prediction-model", "kernel_id": "441516"}, {"ref": "amey819/titanic", "kernel_id": "378297"}, {"ref": "pawan07thapa/a-journey-through-titanic", "kernel_id": "388651"}, {"ref": "shengya/titanic-data-science", "kernel_id": "378845"}, {"ref": "ashokphili/titanic-data-analysis-and-survival-prediction", "kernel_id": "476506"}, {"ref": "ashokphili/eda-and-prediction-tutorial-using-titanic-data", "kernel_id": "531112"}, {"ref": "tanveerbaba/fork-of-titanic-ml-using-random-forest-classifier", "kernel_id": "709374"}, {"ref": "tanveerbaba/fork-of-titanic-ml-using-svm", "kernel_id": "715044"}, {"ref": "tanveerbaba/titanic-ml-for-disaster-using-decision-tree", "kernel_id": "706010"}, {"ref": "tanveerbaba/fork-of-titanic-ml-for-disaster", "kernel_id": "707074"}, {"ref": "mjoszef/titanic-notebook-first-competition", "kernel_id": "670839"}, {"ref": "xiangyongqiao/an-interactive-data-science-tutorial", "kernel_id": "391589"}, {"ref": "xiangyongqiao/scikit-learn-ml-from-start-to-finish", "kernel_id": "391594"}, {"ref": "xiangyongqiao/titanic-data-science-solutions", "kernel_id": "391586"}, {"ref": "xiangyongqiao/titanic-best-working-classifier", "kernel_id": "390683"}, {"ref": "tobish/my-very-first-notbook", "kernel_id": "380322"}, {"ref": "noahbjohnson/r-logistic-regression-titanic", "kernel_id": "679543"}, {"ref": "andreyko/notebook8d8bb9d78e", "kernel_id": "380999"}, {"ref": "ateplyuk/titanic-automl", "kernel_id": "597595"}, {"ref": "joelweiss/titanic-data-r", "kernel_id": "392510"}, {"ref": "minhto/titanic-hackathon", "kernel_id": "381952"}, {"ref": "luisaapf/survival-prediction-on-titanic", "kernel_id": "413556"}, {"ref": "rosageorge31/titanic-machine-learning", "kernel_id": "390472"}, {"ref": "rosageorge31/titanic-machine-learning-by-rosa-george", "kernel_id": "402179"}, {"ref": "dianamatata/data-analysis-and-machine-learning-on-titanic", "kernel_id": "427077"}, {"ref": "philyazbak/titanicfork1", "kernel_id": "824088"}, {"ref": "philyazbak/a-journey-through-titanic-5bf8c2", "kernel_id": "479350"}, {"ref": "paultimothymooney/titanic-quick-analysis-w-minimal-dataset", "kernel_id": "387325"}, {"ref": "paultimothymooney/predicting-pathologies-in-x-ray-images", "kernel_id": "387307"}, {"ref": "paultimothymooney/poetry-generator-rnn-markov", "kernel_id": "417119"}, {"ref": "paultimothymooney/predicting-survival-on-titanic-method-comparison", "kernel_id": "417140"}, {"ref": "thearabiandreamer/notebook9b3267a037", "kernel_id": "512579"}, {"ref": "hirenmayani/titanic-101-stacking-ensemble", "kernel_id": "698685"}, {"ref": "kguy32363827/titanic-survival-modeling-exploration", "kernel_id": "499412"}, {"ref": "kencharos/titanic-handson", "kernel_id": "586544"}, {"ref": "kmisiunas/titanic-classification-using-decision-treed", "kernel_id": "484454"}, {"ref": "ipg2014xxx/titanic-passenger-survival-prediction", "kernel_id": "386826"}, {"ref": "gopal1411/ml-basics-with-titanic-disaster-and-datacamp", "kernel_id": "421039"}, {"ref": "gopal1411/fork-of-ml-basics-with-titanic-disaster-and-dataca", "kernel_id": "421226"}, {"ref": "chengchengx/randomforest-starter", "kernel_id": "443017"}, {"ref": "chengchengx/randomforest-with-parameter-tuning", "kernel_id": "444105"}, {"ref": "abhisingh10p14/sinking-of-the-titanic-from-data-to-insights", "kernel_id": "387000"}, {"ref": "taingw4/willie-titanic", "kernel_id": "387203"}, {"ref": "leilaasfari/notebookeff7cb7bbf", "kernel_id": "387200"}, {"ref": "tosnaldo10/titanic-challange", "kernel_id": "397279"}, {"ref": "dedecu/tensorflow-custom-estimator-titanic", "kernel_id": "749358"}, {"ref": "dedecu/tensorflow-dnnclassifier-titanic-basic-approach", "kernel_id": "746332"}, {"ref": "dedecu/tensorflow-dnnclassifier-titanic-one-hot-encoder", "kernel_id": "746439"}, {"ref": "mcromao/titanic-model-cv-analyser", "kernel_id": "709377"}, {"ref": "mcromao/titanic-data-treatment", "kernel_id": "710282"}, {"ref": "mcromao/titanic-exploratory-data-analysis", "kernel_id": "710182"}, {"ref": "bahhalves/decision-tree-e-features-num-ricas-pt-br-p1", "kernel_id": "457885"}, {"ref": "bahhalves/dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "457763"}, {"ref": "bahhalves/fork-of-dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "457775"}, {"ref": "hiromuber/titanic-data-science-solutions", "kernel_id": "907083"}, {"ref": "gapower0/eda-to-prediction-dietanic", "kernel_id": "407688"}, {"ref": "krishnarajut/titanic-dataset-predition-using-random-forest", "kernel_id": "494101"}, {"ref": "fancywang/titanic-data-science-analysis", "kernel_id": "551313"}, {"ref": "ospohngellert/titanic-kernel-79-4-accuracy", "kernel_id": "412482"}, {"ref": "javidimail/titanic-pattern-analysis-and-feature-spaces", "kernel_id": "536159"}, {"ref": "kkoseler/notebook67786779d1", "kernel_id": "420423"}, {"ref": "masaldzhiyski/exploring-survival-on-the-titanic-0-81818", "kernel_id": "427373"}, {"ref": "samjrrr/titanic-competition-1st-attempt", "kernel_id": "803167"}, {"ref": "ravikaushik2372/titanic-prediction-thru-ml", "kernel_id": "396428"}, {"ref": "angps95/basic-classification-methods-for-titanic", "kernel_id": "506073"}, {"ref": "abdzrahim/analysis-on-survival-on-the-titanic", "kernel_id": "446701"}, {"ref": "abdzrahim/5-day-data-challenge-day-1", "kernel_id": "473894"}, {"ref": "hiromu1202/tutorial", "kernel_id": "431614"}, {"ref": "lerdsuwa/titanic-v1", "kernel_id": "390687"}, {"ref": "lmendes/dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "457767"}, {"ref": "lmendes/decision-tree-e-features-num-ricas-pt-br-p1", "kernel_id": "457875"}, {"ref": "gopiprasanth/welcome", "kernel_id": "966303"}, {"ref": "florianzellerfr/titanic-test", "kernel_id": "820544"}, {"ref": "dhayast/titanic-survival-predictions-beginner", "kernel_id": "416321"}, {"ref": "zhongming/titanic-data-science-solutions", "kernel_id": "391872"}, {"ref": "docxian/pytitanic-first-steps", "kernel_id": "496212"}, {"ref": "harrisonroth/mu-fem-hroth", "kernel_id": "397705"}, {"ref": "roshanimangalore/notebookce86aa6149", "kernel_id": "392664"}, {"ref": "drakino/predicting-survivors-of-titanic", "kernel_id": "694282"}, {"ref": "seroj86/titanic-project-sergey", "kernel_id": "395348"}, {"ref": "wuffels/notebook3881ee1fda", "kernel_id": "393095"}, {"ref": "wade3han/my-first-machine-learning", "kernel_id": "503830"}, {"ref": "gxnz77/cs-100-ml-with-the-titanic-dataset-a784a0", "kernel_id": "398548"}, {"ref": "aroldan4/cs-100-ml-with-the-titanic-dataset", "kernel_id": "393237"}, {"ref": "kkrynski1/cs-100-ml-with-the-titanic-dataset", "kernel_id": "393201"}, {"ref": "balevan/cs-100-ml-with-the-titanic-dataset", "kernel_id": "393220"}, {"ref": "jhuang72/cs-100-ml-with-the-titanic-dataset-141120", "kernel_id": "406440"}, {"ref": "mgarcia18/cs-100-ml-with-the-titanic-dataset-mg", "kernel_id": "397761"}, {"ref": "vincehtran/cs-100-ml-with-the-titanic-dataset", "kernel_id": "393196"}, {"ref": "bmintz/cs-100-ml-with-the-titanic-dataset", "kernel_id": "393192"}, {"ref": "nknockeart/cs-100-ml-with-the-titanic-dataset-21edd8", "kernel_id": "398574"}, {"ref": "vvvccc/cs-100-ml-with-the-titanic-dataset-65c31e", "kernel_id": "398543"}, {"ref": "mikemcs/cs-100-ml-with-the-titanic-dataset-b34686", "kernel_id": "397854"}, {"ref": "marcelstrike/cs-100-ml-with-the-titanic-dataset-2435c5", "kernel_id": "400749"}, {"ref": "d04852/cs-100-ml-with-the-titanic-dataset-a24795", "kernel_id": "407841"}, {"ref": "seventimessix/cs-100-ml-with-the-titanic-dataset", "kernel_id": "393193"}, {"ref": "aaminnej/titanic-rf", "kernel_id": "521313"}, {"ref": "rajan0921/titanic-solution", "kernel_id": "423724"}, {"ref": "koheiotani/fork-of-titanic-best-working-classifier", "kernel_id": "437714"}, {"ref": "koheiotani/titanic-python", "kernel_id": "423519"}, {"ref": "koheiotani/titanic-survival-predictions-beginner-fd3bab", "kernel_id": "423430"}, {"ref": "nrutyam/predictions-on-titanic", "kernel_id": "593474"}, {"ref": "isaacpatole/simple-and-easy-way-to-solve-titanic-competition", "kernel_id": "556399"}, {"ref": "abevallerian/titanic-with-tensorflow", "kernel_id": "431226"}, {"ref": "asaggarw/housing-prices", "kernel_id": "420265"}, {"ref": "mnassrib/titanic-logistic-regression-with-python", "kernel_id": "399690"}, {"ref": "totoche90/totoche90-titanic-machine-learning-from-disaster", "kernel_id": "396082"}, {"ref": "ssteyer/logistic-regression-solution", "kernel_id": "555653"}, {"ref": "mosleylm/titanic-data-set-exploration", "kernel_id": "396276"}, {"ref": "markk1995/titanic-machine-learning-from-disaster", "kernel_id": "461791"}, {"ref": "aecostas/an-interactive-data-science-tutorial", "kernel_id": "397500"}, {"ref": "christophriley/text-features", "kernel_id": "467239"}, {"ref": "christophriley/getting-started", "kernel_id": "462369"}, {"ref": "christophriley/more-features-less-overfitting", "kernel_id": "464360"}, {"ref": "christophriley/intro-machine-learning", "kernel_id": "757505"}, {"ref": "sgq2014/titanic-data-science-solutions", "kernel_id": "398020"}, {"ref": "chivaw/titanic-data-science-solutions", "kernel_id": "749999"}, {"ref": "jgindi/survival-predictions", "kernel_id": "398398"}, {"ref": "schwarzchr/titanic-decision-tree-78-9", "kernel_id": "401526"}, {"ref": "michmzr/titanic-1", "kernel_id": "401672"}, {"ref": "ccarlsen/disaster-learning-ml-from-the-titanic", "kernel_id": "694843"}, {"ref": "elisachangitg/titanic-starter", "kernel_id": "399424"}, {"ref": "k3vignes/titanic-kernel", "kernel_id": "820361"}, {"ref": "user255/sinking-with-the-ship-swts", "kernel_id": "457857"}, {"ref": "thulani96/titanic-dataset-analysis-with-seaborn", "kernel_id": "634421"}, {"ref": "meghanshu/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "567113"}, {"ref": "meghanshu/fork-of-a-data-science-framework-to-achieve-99-a", "kernel_id": "570924"}, {"ref": "meghanshu/titanic-top-4-with-ensemble-modeling", "kernel_id": "570875"}, {"ref": "bhavul93/tackle-titanic-with-tensorflow-for-beginners", "kernel_id": "863345"}, {"ref": "stahlaj/cse-627-proj-1", "kernel_id": "420427"}, {"ref": "lukes1973/first-one-of-titanic-ml-from-disaster", "kernel_id": "408853"}, {"ref": "somtom/titanic-random-icebergs", "kernel_id": "603639"}, {"ref": "bwboerman/a-quick-dive-into-h2o-with-python", "kernel_id": "726699"}, {"ref": "shiheyingzhe/introduction-to-ensembling-stacking-in-pyth-e618d1", "kernel_id": "430744"}, {"ref": "aggarwalaakash007/logistic-regression-using-sklearn", "kernel_id": "737770"}, {"ref": "hudawei/trained-by-a-3-layer-nn", "kernel_id": "403732"}, {"ref": "warrenelder/titanic-survival-prediction", "kernel_id": "417485"}, {"ref": "vivekrai11/titanic-problem-solution", "kernel_id": "554494"}, {"ref": "diotto/titanic-classifiying", "kernel_id": "407859"}, {"ref": "castellar/decision-tree-e-features-num-ricas-pt-br-p1", "kernel_id": "457882"}, {"ref": "castellar/dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "457780"}, {"ref": "dulb26/dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "457773"}, {"ref": "dulb26/decision-tree-e-features-num-ricas-pt-br-p1", "kernel_id": "457883"}, {"ref": "joanmouba/epignosisrescuetitanic01", "kernel_id": "405494"}, {"ref": "zhangfeilu/using-naive-bayesian-to-predict-result", "kernel_id": "518094"}, {"ref": "eyan422/titanic-data-science-solutions", "kernel_id": "850229"}, {"ref": "eyan422/partial-dependence-plots", "kernel_id": "820984"}, {"ref": "victorgalceron/random-forest-e-feature-engineering-pt-br-p3", "kernel_id": "485841"}, {"ref": "echochi/titanic-first-solve", "kernel_id": "408926"}, {"ref": "karagain/karsten-s-titanic-exploration-notebook", "kernel_id": "707760"}, {"ref": "karagain/karsten-s-2nd-titanic-exploration-notebook", "kernel_id": "717112"}, {"ref": "ramkumarr02/random-forest-centre-imputed-data-for-beginners", "kernel_id": "713219"}, {"ref": "pradpalnis/my-first-problem", "kernel_id": "816831"}, {"ref": "davidwiese/kaggle-titanic-tutorial", "kernel_id": "408012"}, {"ref": "ashutoshg2006/quick-80-and-above-accuracy-on-titanic-disaster", "kernel_id": "777840"}, {"ref": "kishan94/my-titanic-notebook", "kernel_id": "495814"}, {"ref": "jassin/ambassador", "kernel_id": "411390"}, {"ref": "lightkuli/titanic-data-science-solutions-940d4f", "kernel_id": "464549"}, {"ref": "nihalsaxena/survived-persons", "kernel_id": "449319"}, {"ref": "joostvandaele/how-to-deal-with-missing-data", "kernel_id": "775744"}, {"ref": "emmazhangmc/titanic-fairy-no-1", "kernel_id": "410110"}, {"ref": "bavdekar/titanic-data-maching-learning", "kernel_id": "419488"}, {"ref": "jsajal1993/titanic-jsajal", "kernel_id": "506124"}, {"ref": "zahoorahmad/introduction-to-decision-trees-titanic-dataset", "kernel_id": "898000"}, {"ref": "zahoorahmad/difference-with-without-missing-age-value-analysis", "kernel_id": "875830"}, {"ref": "zahoorahmad/titanic-2nd-degree-families-and-majority-voting", "kernel_id": "786539"}, {"ref": "zahoorahmad/fork-of-titanic-step-wise-data-cleaning-and-predic", "kernel_id": "766847"}, {"ref": "zahoorahmad/titanic-step-wise-data-cleaning-and-prediction", "kernel_id": "753697"}, {"ref": "zahoorahmad/a-journey-through-titanic", "kernel_id": "676161"}, {"ref": "zahoorahmad/titanic-data-science-solutions", "kernel_id": "676174"}, {"ref": "mustafasencer/titanic-data-exploration", "kernel_id": "487140"}, {"ref": "devaraju/titanic-disaster", "kernel_id": "422983"}, {"ref": "zhangfei/introduction-to-ensembling-stacking-in-python", "kernel_id": "429854"}, {"ref": "nishikantsinha59/titanic-survival-eda", "kernel_id": "501223"}, {"ref": "petenice/titanickernel", "kernel_id": "947005"}, {"ref": "alan1229/titanic-neural-network-using-keras", "kernel_id": "426726"}, {"ref": "mweathersby/eda-to-prediction-dietanic", "kernel_id": "426274"}, {"ref": "jiuzhang/titanic-ninechapter", "kernel_id": "433374"}, {"ref": "jiuzhang/titanic-framework", "kernel_id": "433377"}, {"ref": "tammyrotem/who-dies-who-lives-you-decide", "kernel_id": "434514"}, {"ref": "briley01/first-attempt-at-data-science", "kernel_id": "488438"}, {"ref": "apospiech/titanic-starter", "kernel_id": "415360"}, {"ref": "yang1995/titanic", "kernel_id": "567656"}, {"ref": "shareef99/titanic-survival-predictions-beginner", "kernel_id": "426845"}, {"ref": "shareef99/titanic-survival-with-highest-accuracy-rate-model", "kernel_id": "414825"}, {"ref": "natsuki1996/titanic-problem", "kernel_id": "414929"}, {"ref": "tavukcu/satarting-samewhere", "kernel_id": "902212"}, {"ref": "submarineering/first-prediction-submarineering-no-feature-eng", "kernel_id": "417073"}, {"ref": "lornamariak/survival-criteria-on-the-rms-titanic", "kernel_id": "416140"}, {"ref": "bqlearner/titanic-survivors", "kernel_id": "415465"}, {"ref": "schcsaba/an-interactive-data-science-tutorial", "kernel_id": "422562"}, {"ref": "mfirat/predict-survival-on-the-titanic", "kernel_id": "562803"}, {"ref": "goomba16/titanic-ml-basics", "kernel_id": "424057"}, {"ref": "leihouchao/titanic-data-science-solutions", "kernel_id": "416948"}, {"ref": "jlindsteadt/titanic-survival-analysis-using-svm", "kernel_id": "438648"}, {"ref": "daniellavieira/decision-tree-e-features-num-ricas-pt-br-p1", "kernel_id": "457886"}, {"ref": "daniellavieira/dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "457777"}, {"ref": "thousandface/thousandface", "kernel_id": "418128"}, {"ref": "cordeliaqian/titanic-survival-rate", "kernel_id": "418273"}, {"ref": "ohcome/titanic", "kernel_id": "982805"}, {"ref": "doorte/dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "457802"}, {"ref": "doorte/decision-tree-e-features-num-ricas-pt-br-p1", "kernel_id": "457888"}, {"ref": "viswajithkn/titanic-firstsubmission", "kernel_id": "424661"}, {"ref": "hillabehar/titanic-analysis-with-r", "kernel_id": "440414"}, {"ref": "rdubary/my-first-kernel-titanic-challenge", "kernel_id": "523083"}, {"ref": "temibabs/how-about-a-neural-net", "kernel_id": "539306"}, {"ref": "jiweibo/titanic-data-science-solutions", "kernel_id": "706222"}, {"ref": "timcoombe/beginning-ml-with-titanic", "kernel_id": "516567"}, {"ref": "abidislam8042/my-first-submission", "kernel_id": "517620"}, {"ref": "gattoni/keras-simple-nn-v-0-1", "kernel_id": "927557"}, {"ref": "vkuma008/titanic-data-science-solutions", "kernel_id": "930549"}, {"ref": "keitashimizu/xg-boost-with-notebook", "kernel_id": "455280"}, {"ref": "newpye/my-first-submit-to-titanic", "kernel_id": "423373"}, {"ref": "orokushi/titanic-with-nn", "kernel_id": "709967"}, {"ref": "wanhoim/titanic-machine-learning-from-disaster", "kernel_id": "470617"}, {"ref": "niklasdonges/end-to-end-project-with-python", "kernel_id": "570499"}, {"ref": "mahendermahi77/beginner-prediction-using-logistic-regression", "kernel_id": "480941"}, {"ref": "vishvishal49/passenger-survival-analysis", "kernel_id": "438100"}, {"ref": "kartikwar/titanic", "kernel_id": "448497"}, {"ref": "thrawnex/titanic-data-set", "kernel_id": "424271"}, {"ref": "priyagunjate/titanic-data-science-solutions", "kernel_id": "596882"}, {"ref": "konstantinmasich/titanic-0-82-0-83", "kernel_id": "556065"}, {"ref": "fangxiaohan/notebook7c14f9b5d1", "kernel_id": "457032"}, {"ref": "renatabarros/ml-with-titanic", "kernel_id": "525525"}, {"ref": "renatabarros/ml-titanic", "kernel_id": "578442"}, {"ref": "ackshay/kernel7f45cfc8ce", "kernel_id": "675421"}, {"ref": "srikanthkon21/new11111", "kernel_id": "428853"}, {"ref": "adamch07/titantic-script", "kernel_id": "426054"}, {"ref": "phstee/titanic-data-science-solutions", "kernel_id": "425934"}, {"ref": "saeddaoud/where-the-joruney-begins", "kernel_id": "553233"}, {"ref": "prabhjotkaur/titanic-prediction-deep-learning-tensorflow", "kernel_id": "741884"}, {"ref": "ayushkush/titanic-prediction-with-leaner-regression", "kernel_id": "478514"}, {"ref": "philipphuhn/titanic-comparison-visualisation-selection", "kernel_id": "428278"}, {"ref": "carlice/titanic-practice", "kernel_id": "536438"}, {"ref": "kemaly/titanic-machine-learning-for-beginners", "kernel_id": "534556"}, {"ref": "stone111/notebook4e875cd556", "kernel_id": "536618"}, {"ref": "wundervision/intro-to-kernels-notebooks-visualizing-data", "kernel_id": "456163"}, {"ref": "youyifong/titanic-dl", "kernel_id": "434145"}, {"ref": "gcolbert/the-nuclear-family-s-survival-guide", "kernel_id": "777197"}, {"ref": "lskr802/survival-prediction", "kernel_id": "577015"}, {"ref": "elimiller/the-caret-package-and-the-titanic", "kernel_id": "545755"}, {"ref": "johnessaju/titanic", "kernel_id": "948463"}, {"ref": "uncommon/titanic-survival", "kernel_id": "632542"}, {"ref": "sunnystrange/unser-erstes-notebook", "kernel_id": "430102"}, {"ref": "xbattaglini/essaixatitanic1", "kernel_id": "430276"}, {"ref": "souravaggarwal/dnn-with-0-75-accuracy", "kernel_id": "727607"}, {"ref": "arianprabowo/test01", "kernel_id": "430998"}, {"ref": "sadhiksheneeb/sinking-of-the-titanic", "kernel_id": "431156"}, {"ref": "silva0215/kaggle-hands-on-with-titanic", "kernel_id": "565159"}, {"ref": "thilakshasilva/predicting-titanic-survival-using-five-algorithms", "kernel_id": "455390"}, {"ref": "abhilashkulkarni340/titanic-predictions-notebook", "kernel_id": "628951"}, {"ref": "yashika26/notebook9ae896e302", "kernel_id": "434001"}, {"ref": "madhulekha/a-comprehensive-solution-to-your-first-ml-problem", "kernel_id": "482209"}, {"ref": "prakashbisht/titanic-survival-prediction-linear-svm-0-7655", "kernel_id": "455286"}, {"ref": "seongmooklim/titanic", "kernel_id": "519177"}, {"ref": "krishnavarma93/survival-prediction-on-the-titanic-v1", "kernel_id": "666954"}, {"ref": "gilbertly/titanic-survival-pyspark", "kernel_id": "977552"}, {"ref": "zohaib2407/data-analysis-and-feature-extraction-with-python", "kernel_id": "832340"}, {"ref": "easbiikhsan/titanic-logistic-biner-regression", "kernel_id": "445071"}, {"ref": "lvpeiyuan/titaniclvpeiyuan", "kernel_id": "572006"}, {"ref": "daztron/titanic-survival-prediction", "kernel_id": "754767"}, {"ref": "astandrik/journey-from-statistics-eda-to-prediction", "kernel_id": "494926"}, {"ref": "topinfrassi/titanic-disaster-78", "kernel_id": "566138"}, {"ref": "chadrick/beginner-s-attempt", "kernel_id": "439383"}, {"ref": "umutozdemir/comparison-of-classifiers-evolutionarysearch", "kernel_id": "441328"}, {"ref": "amarpreetsingh/ml-the-art-of-making-computers-learn", "kernel_id": "484898"}, {"ref": "amarpreetsingh/titanic-machine-learning-from-disaster-beginner", "kernel_id": "446490"}, {"ref": "amarpreetsingh/ml-basics", "kernel_id": "510209"}, {"ref": "fabulinus/titanic-public-indian-english", "kernel_id": "887483"}, {"ref": "leehanjune/titanic-tutorial", "kernel_id": "437150"}, {"ref": "mukultiwari/titanic-top-14-with-random-forest", "kernel_id": "494334"}, {"ref": "bw0282/using-decision-tree", "kernel_id": "708374"}, {"ref": "manankalra/titanic", "kernel_id": "443734"}, {"ref": "vedanta6/titanic-data-analysis", "kernel_id": "455629"}, {"ref": "amyhurd/titanic-data-science-solutions-d22403", "kernel_id": "904041"}, {"ref": "cayladamico/titanic-data-science-solutions-93e720", "kernel_id": "904042"}, {"ref": "zyk96011/tensorflow-deep-learning-to-solve-titanic-9c41b4", "kernel_id": "523938"}, {"ref": "jacksapper/xx-sampleanalysis-xx", "kernel_id": "448589"}, {"ref": "jwnwilson/titanic-excerise-team-noel", "kernel_id": "439510"}, {"ref": "husainsb/titanic-survived-or-not-survived", "kernel_id": "737379"}, {"ref": "stostain/chronicle-of-a-tragedy", "kernel_id": "464031"}, {"ref": "neuroguy/proper-cv-techniques", "kernel_id": "492093"}, {"ref": "zachgo/titanic-submission1", "kernel_id": "442644"}, {"ref": "simonxflu/deep-learning-from-titanic-disaster", "kernel_id": "453139"}, {"ref": "zquant/zq-titanic-a-to-z", "kernel_id": "527168"}, {"ref": "srayarao/titanic-data-analysis-and-exploration", "kernel_id": "456986"}, {"ref": "arg0n007/titanic-80-accuracy-top-14-random-forest", "kernel_id": "494668"}, {"ref": "mohammad2011/titanic-python-sklearn", "kernel_id": "715715"}, {"ref": "stefanbergstein/keras-deep-learning-on-titanic-data", "kernel_id": "497227"}, {"ref": "stefanbergstein/split-titanic-data-upfront-by-age-nan", "kernel_id": "522805"}, {"ref": "rusjian/titanic-keras", "kernel_id": "445024"}, {"ref": "mikobautista/the-complete-idiot-s-guide-to-machine-learning", "kernel_id": "443984"}, {"ref": "ggautier/titanic-data-science-solutions-forked-kernel", "kernel_id": "714074"}, {"ref": "ldfreeman3/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "449069"}, {"ref": "woaiyong710/a-head-new-start-for-data-scientist", "kernel_id": "689729"}, {"ref": "ariesmidt/titanic-prediction", "kernel_id": "460008"}, {"ref": "mashartdegen/titanic-competition-michael-gary", "kernel_id": "460005"}, {"ref": "mahirpiyarali/life-or-death-on-a-big-boat", "kernel_id": "460004"}, {"ref": "liranz10z/final-project", "kernel_id": "510743"}, {"ref": "m9harv/titanic1", "kernel_id": "630300"}, {"ref": "manishaarora/titanic-data-machine-learning", "kernel_id": "448115"}, {"ref": "mrmax333/lab-5-titanic-machine-learning", "kernel_id": "460010"}, {"ref": "mrmax333/titanic-data-science-solutions", "kernel_id": "445323"}, {"ref": "veronicca/titanic-stats", "kernel_id": "445343"}, {"ref": "demonlord/titanic-survivor-predictions-and-analysis", "kernel_id": "494547"}, {"ref": "timniessen/titanic-my-first-kernel", "kernel_id": "445561"}, {"ref": "xuhuiz0918/initial-eda-and-lm-on-titanic-dataset", "kernel_id": "534881"}, {"ref": "saritwik/my-notebook", "kernel_id": "530496"}, {"ref": "northon/titanic-prediction-7-models-highest-0-76555", "kernel_id": "700467"}, {"ref": "ajay1216/titanic-solution-for-absolute-beginner", "kernel_id": "525881"}, {"ref": "yanan95/yanan-liu-ml-assignment-2", "kernel_id": "536458"}, {"ref": "hunterhu/notebook5ca0d51a01", "kernel_id": "520548"}, {"ref": "tanyapatel20/kernel30ac997a48", "kernel_id": "665731"}, {"ref": "shreyaryal/xx-sampleanalysis-xx", "kernel_id": "457815"}, {"ref": "m0ongg/titanic-2", "kernel_id": "492582"}, {"ref": "vikasbz/titanic-survivors-prediction", "kernel_id": "552715"}, {"ref": "nicholastang1995/titanic-analysis", "kernel_id": "534453"}, {"ref": "milithus/tm-titanic", "kernel_id": "450217"}, {"ref": "westen30/titanic", "kernel_id": "453385"}, {"ref": "erikbruin/titanic-2nd-degree-families-and-majority-voting", "kernel_id": "487546"}, {"ref": "simulacra/tidytitanic-with-h2o", "kernel_id": "539021"}, {"ref": "simulacra/titanic-with-xgboost", "kernel_id": "513088"}, {"ref": "jsnsaji/titanic-classifier", "kernel_id": "583267"}, {"ref": "farhankarim1/titanic-survivor-prediction-using-random-forests", "kernel_id": "851852"}, {"ref": "anie17/titanic-ml", "kernel_id": "544688"}, {"ref": "egggump/notebook47e45e212a", "kernel_id": "533638"}, {"ref": "riyuzak2510/svc-on-titanic-data-set", "kernel_id": "482073"}, {"ref": "alexandrarp/titanic-predictive-model-3-features-81-59", "kernel_id": "460309"}, {"ref": "akoeppl/titanic-with-tensorflow", "kernel_id": "560605"}, {"ref": "akoeppl/beginning-in-kaggle-with-titanic-ensembles", "kernel_id": "528751"}, {"ref": "uscyiwei/titanic-data-science-solutions", "kernel_id": "548809"}, {"ref": "pallavisama/titanic-survival-analysis", "kernel_id": "535001"}, {"ref": "oliveiraroberto/decision-tree-e-features-num-ricas-pt-br-p1", "kernel_id": "457891"}, {"ref": "oliveiraroberto/dummy-e-features-num-ricas-pt-br-p0-149a68", "kernel_id": "457770"}, {"ref": "triple777er/logit-attempt-1", "kernel_id": "553592"}, {"ref": "plasticgrammer/titanic-training", "kernel_id": "701551"}, {"ref": "mklajnerok/titanic-competition-predictions", "kernel_id": "753496"}, {"ref": "suraj915/titanic-suraj", "kernel_id": "815659"}, {"ref": "bobby33/beginner-tutorial-cruising-on-the-titanic-dataset", "kernel_id": "721688"}, {"ref": "richardmarto/titanic-logistic-reg", "kernel_id": "581839"}, {"ref": "jayaprakashk92/titanic-survival-prediction-gradient-boosting", "kernel_id": "583985"}, {"ref": "buchan75/practice-1-titanic-case", "kernel_id": "646669"}, {"ref": "vprincekin/titanic-data-science-solutions", "kernel_id": "465121"}, {"ref": "cableyang123/a-journey-through-titanic", "kernel_id": "527532"}, {"ref": "manishkumar1980/titanic-did-only-female-passengers-survive", "kernel_id": "473477"}, {"ref": "kuntalcse006/select-model-using-cross-val-score-titanic-data", "kernel_id": "681549"}, {"ref": "ashvsmay00/titanic-data-science-solutions-83f146", "kernel_id": "488632"}, {"ref": "reubensinha/competition-kernel-titanic-survival-prediction", "kernel_id": "697242"}, {"ref": "yangwangxingkong/titanic", "kernel_id": "495549"}, {"ref": "ismirnov/first-kernel", "kernel_id": "672912"}, {"ref": "alexandergawlik/just-some-exercises-in-progress", "kernel_id": "702552"}, {"ref": "angeelee/titanic-data-exploration-in-python", "kernel_id": "528634"}, {"ref": "mnoori/3-steps-ml-for-the-unsinkable-ship-beginner", "kernel_id": "534212"}, {"ref": "marioguerriero/titanic-analysis-and-modeling", "kernel_id": "713424"}, {"ref": "trentbaur/a-titanic-but-tidy-undertaking", "kernel_id": "509864"}, {"ref": "bg81011/notebook2733dcea53", "kernel_id": "463170"}, {"ref": "xcutioners/titanic-prediction-of-surviours", "kernel_id": "702016"}, {"ref": "i13472889991/first-try-with-machine-learning-and-titanic", "kernel_id": "883187"}, {"ref": "xianglong/try-1sttime", "kernel_id": "873994"}, {"ref": "xianglong/try-1st-time", "kernel_id": "873851"}, {"ref": "graf10a/alexey-pronin-xgboost-with-caret", "kernel_id": "627299"}, {"ref": "graf10a/titanic-alexey-pronin-1", "kernel_id": "571411"}, {"ref": "summer030/titanic-data-science-solutions-863ff0", "kernel_id": "507415"}, {"ref": "maxsantos/titanic-notebook", "kernel_id": "487472"}, {"ref": "melindaleung/titanic", "kernel_id": "858781"}, {"ref": "shankarjee/titanic-prediction-well-my-titanic-lifeline", "kernel_id": "471849"}, {"ref": "shankarjee/titanic-tweaks-to-jump-ahead", "kernel_id": "477040"}, {"ref": "apichlkostner/titanic-survival-predictions", "kernel_id": "521022"}, {"ref": "rathorology/titanic-from-start-to-finish", "kernel_id": "471622"}, {"ref": "makehopelivemhl/titanic-v0", "kernel_id": "469901"}, {"ref": "ujwalv/simple-tutorial-for-beginners", "kernel_id": "709743"}, {"ref": "aravinth91/titanic-survival-prediction-in-python", "kernel_id": "665049"}, {"ref": "rednivrug/my-first-kernel", "kernel_id": "482024"}, {"ref": "romabash/titanic-data-visualization", "kernel_id": "674637"}, {"ref": "yemregundogmus/titanic-analysis-newbie", "kernel_id": "818064"}, {"ref": "pavanreddy1998/kernelae9dd70109", "kernel_id": "684624"}, {"ref": "sencodes/survival-analysis-of-titanic-disaster-data", "kernel_id": "551090"}, {"ref": "seanangio/predicting-titanic-survival", "kernel_id": "520490"}, {"ref": "naka13yy/titanic-data-science-solutions", "kernel_id": "487527"}, {"ref": "naka13yy/an-interactive-data-science-tutorial", "kernel_id": "498067"}, {"ref": "jamesleslie/titanic-neural-network-for-beginners", "kernel_id": "685398"}, {"ref": "harrypuuter/first-try", "kernel_id": "473833"}, {"ref": "nacerix/notebooke73d5fb3d3", "kernel_id": "491676"}, {"ref": "sjfleming/titanic-first-look", "kernel_id": "494709"}, {"ref": "laneruan/titanic-data-science-solutions-9d7b69", "kernel_id": "475717"}, {"ref": "caiqueborges/first-try-titanic-tutorial-practice", "kernel_id": "987817"}, {"ref": "tfloyd15/titanic-dataset", "kernel_id": "485778"}, {"ref": "obiwit/titanic-survival", "kernel_id": "478369"}, {"ref": "scottmcc/titanic-data-science-solutions", "kernel_id": "556560"}, {"ref": "l1170165845/titanic-data-science-solutions", "kernel_id": "525096"}, {"ref": "kjell56/titanic-vu-dm-group29", "kernel_id": "889167"}, {"ref": "hkhsieh/exploring-titanic-data", "kernel_id": "512366"}, {"ref": "bhargav99/notebook8358aeb888", "kernel_id": "480022"}, {"ref": "y2kshehan/beginners-guide-to-titanic", "kernel_id": "517713"}, {"ref": "mscsf17m519/titanic-data-science-solutions", "kernel_id": "479820"}, {"ref": "rboimistruk/titanic-survivals-analysis", "kernel_id": "595489"}, {"ref": "gvbgduh/titanic-logreg", "kernel_id": "479773"}, {"ref": "gvbgduh/titanic-dnn", "kernel_id": "488367"}, {"ref": "curtaincall/exploring-survival-on-the-titanic", "kernel_id": "546567"}, {"ref": "sarvajna/titanic-problem-a-simple-approach", "kernel_id": "507291"}, {"ref": "hdnguyenfl/binary-classification-on-titanic-data", "kernel_id": "486823"}, {"ref": "hdnguyenfl/binary-classification-on-titanic-data-2", "kernel_id": "524448"}, {"ref": "wencesvillegas/titanic-dataset-preprocessing", "kernel_id": "692319"}, {"ref": "cocojam0/titanic-machine-learning-from-disaster-kaggle", "kernel_id": "481651"}, {"ref": "thanatoz/showdown-of-algorithms-for-titanic-dataset", "kernel_id": "504911"}, {"ref": "saisravankathi/simple-keras-model", "kernel_id": "558566"}, {"ref": "altafang/titanic-data-analysis", "kernel_id": "482629"}, {"ref": "stefano9o/stacking-ensemble", "kernel_id": "740890"}, {"ref": "carlbeckerling/kaggle-titanic-tutorial", "kernel_id": "488913"}, {"ref": "lizpund/titanic-competition-kernel", "kernel_id": "683501"}, {"ref": "myselfuma/learning-data-titanic-prediction-in-python", "kernel_id": "777941"}, {"ref": "tnyont/who-survived-the-titanic-analysis-and-regression", "kernel_id": "902876"}, {"ref": "lashkare/simple-yet-effective-titanic-solution", "kernel_id": "858441"}, {"ref": "floringh/titanic-machine-learning-from-disaster", "kernel_id": "537462"}, {"ref": "siwhitehouse/titanic-1-learning-kaggle-environment", "kernel_id": "489598"}, {"ref": "wiznoo/titanic-prediction-using-svm", "kernel_id": "502688"}, {"ref": "chanoramirez/first-steps-in-kaggling-with-titanic-and-python", "kernel_id": "491078"}, {"ref": "dpolob/randomforest-classificator", "kernel_id": "526860"}, {"ref": "evschen/an-interactive-data-science-tutorial", "kernel_id": "493923"}, {"ref": "hansonzhao007/notebook63343e1c52", "kernel_id": "518087"}, {"ref": "nitsbat/random-forest-on-titanic-problem", "kernel_id": "595273"}, {"ref": "nitsbat/titanic-first-visualization-on-the-basis-of-title", "kernel_id": "593837"}, {"ref": "outofthebox012/titanic-randomforest-starter-with-eda", "kernel_id": "493980"}, {"ref": "avamsi/titanic-solution", "kernel_id": "507551"}, {"ref": "siddarthareddyt/titanic-survivors-book", "kernel_id": "508869"}, {"ref": "rion778/titanic", "kernel_id": "947956"}, {"ref": "sankur536/titanic", "kernel_id": "505309"}, {"ref": "saurabhp75/updated-simplified-the-titanic-solution", "kernel_id": "502718"}, {"ref": "saurabhp75/titanicexcercise1", "kernel_id": "501994"}, {"ref": "amannlo/the-t-ree-itanic-venture", "kernel_id": "498656"}, {"ref": "nishant275/titanic-data-science-solutions", "kernel_id": "583259"}, {"ref": "sumitarya/testing-on-titanic-data", "kernel_id": "520788"}, {"ref": "rojofanamperana/data-analytic-assignment-rojo-titanic", "kernel_id": "526513"}, {"ref": "gracyf/titanic-survival-predictor-my-first-in-kaggle", "kernel_id": "664711"}, {"ref": "miguelcpsbrito/nn-predict-survival-titanic-just-1st-prediction", "kernel_id": "512759"}, {"ref": "pumrapee/titanic-dataset-competition", "kernel_id": "757477"}, {"ref": "sapnasharma/titanic-solution-my-first-attempt", "kernel_id": "931597"}, {"ref": "xalphahelix/titanic-survival-ensembling-model", "kernel_id": "682682"}, {"ref": "famadio/first-try", "kernel_id": "522037"}, {"ref": "rakesh6184/survivalprediction", "kernel_id": "587043"}, {"ref": "rakesh6184/survivalprediction-c0abbf", "kernel_id": "592094"}, {"ref": "aliabdullah176/first-kernel", "kernel_id": "526117"}, {"ref": "sttzschoppe/my-first-steps-decision-tree", "kernel_id": "500727"}, {"ref": "awkhan/logistic-regression-titanic-survival", "kernel_id": "521691"}, {"ref": "awkhan/random-forest-with-feature-engineering", "kernel_id": "523060"}, {"ref": "michaelabehsera/titanic-solution-a-beginner-s-guide", "kernel_id": "553343"}, {"ref": "michaelabehsera/short-pandas-tutorial-with-missingness-trick", "kernel_id": "671492"}, {"ref": "jadekker/titanic-nn-approach", "kernel_id": "505161"}, {"ref": "pavelvpster/titanic-decision-tree-random-forest-logit", "kernel_id": "619343"}, {"ref": "jeevananda/firstmachinelearning-py", "kernel_id": "543689"}, {"ref": "limitpointinf0/knn-on-the-titanic", "kernel_id": "999710"}, {"ref": "solegaonkar/titanic-data-science-solutions", "kernel_id": "726023"}, {"ref": "dandres/titanic-random-forest-or-svm-0-80-step-by-step", "kernel_id": "675750"}, {"ref": "nitikakamboj/titanic-comp", "kernel_id": "896694"}, {"ref": "kevinjordan/titanic-data-analysis", "kernel_id": "567077"}, {"ref": "wangfabei/titanic", "kernel_id": "952510"}, {"ref": "wangfabei/titanic-neural-network", "kernel_id": "977814"}, {"ref": "saihariteja/titainc-sample-learning", "kernel_id": "710701"}, {"ref": "ronaldpaul666/beginner-for-data-science", "kernel_id": "552621"}, {"ref": "ronaldpaul666/notebookc252b7069f", "kernel_id": "515160"}, {"ref": "arkadius/arkadi-titanic", "kernel_id": "506924"}, {"ref": "farzadinjast/what-if-i-was-on-the-titanic", "kernel_id": "812992"}, {"ref": "eduterradez/titanic-3-levels-ensemble-model", "kernel_id": "598726"}, {"ref": "ankit8604/titanic-dataset-modelling", "kernel_id": "515167"}, {"ref": "farheen28/titanic-machine-learning-from-disaster", "kernel_id": "512594"}, {"ref": "songwei82/titanic-predict", "kernel_id": "539278"}, {"ref": "moosecat/titanic-visualisations-plotly-and-d3", "kernel_id": "507695"}, {"ref": "aawadall/fork-of-titanic-nn-model", "kernel_id": "532577"}, {"ref": "aawadall/titanic-logistic-reg-feature-mapping-kernel", "kernel_id": "525856"}, {"ref": "lisiqikaggle/titanic-data-science-solutions-fb6b37", "kernel_id": "553780"}, {"ref": "emmanuelrosa/titanic-1", "kernel_id": "542121"}, {"ref": "pgnemm/svm-classification-feature-eng-graphics-etc", "kernel_id": "544412"}, {"ref": "tgracel/notebook8d33674476", "kernel_id": "515187"}, {"ref": "tgracel/tgracel", "kernel_id": "515230"}, {"ref": "gopaln11/titanic-decision-tree-classifier", "kernel_id": "787245"}, {"ref": "mairizk/titanic", "kernel_id": "526929"}, {"ref": "clouds0715/180510-titanic", "kernel_id": "956020"}, {"ref": "masa39023/keras-beginner-s-code", "kernel_id": "672295"}, {"ref": "catherinelee274/trainwrecknb", "kernel_id": "515821"}, {"ref": "lisabai/titanic-survival-prediciton", "kernel_id": "534809"}, {"ref": "mikepo/titanic-logistic-regression-random-forest", "kernel_id": "820012"}, {"ref": "anqitu/one-function-to-evaluate-five-modelling-methods", "kernel_id": "690655"}, {"ref": "talismanic/titanic", "kernel_id": "514692"}, {"ref": "yangyc06/titanic-analysis-learning-to-swim-with-pyth-44992a", "kernel_id": "539405"}, {"ref": "xiaodongyyyy/introduction-to-ensembling-stacking-in-python", "kernel_id": "514942"}, {"ref": "srikantjyrmn/titanic-survivor", "kernel_id": "962874"}, {"ref": "coricpat/firstscript", "kernel_id": "517398"}, {"ref": "kosovanolexandr/titanic-random-forest-0-78", "kernel_id": "968049"}, {"ref": "johnnyuser/titanic-data-science-solutions", "kernel_id": "516188"}, {"ref": "antfellow/titanic-pandas-seaborn-sklearn-log-regression", "kernel_id": "517110"}, {"ref": "noxmoon/titanic-model-with-xgb-classifier", "kernel_id": "898246"}, {"ref": "rafaelgoncalves/analysis-visualization-and-learning-log-reg", "kernel_id": "521447"}, {"ref": "nhatvannguyen/model-with-6-features", "kernel_id": "823270"}, {"ref": "beagle01/prediction-with-gradient-boosting-classifier", "kernel_id": "521361"}, {"ref": "s663962004/titanic-data-science-solutions", "kernel_id": "544171"}, {"ref": "fqiang/titanic-r-machine-learning", "kernel_id": "523400"}, {"ref": "dhkdn9192/tutorial-for-titanic", "kernel_id": "540910"}, {"ref": "jgreenemi/here-we-are-starting-on-the-titanic-practice-comp", "kernel_id": "729607"}, {"ref": "jorisarevus/titanic-arevus", "kernel_id": "522961"}, {"ref": "jessewuut/titanic", "kernel_id": "714580"}, {"ref": "codesail/a-fork-from-an-interactive-data-science-tutorial", "kernel_id": "525609"}, {"ref": "yusuzech/titanic-prediction", "kernel_id": "534745"}, {"ref": "ruchirdhar/titanic-machine-learning-my-first-kaggle-kernel", "kernel_id": "925604"}, {"ref": "rennocks/titanicmodel", "kernel_id": "525517"}, {"ref": "zimeiyang/titanic-disaster-analysis-prediction", "kernel_id": "525894"}, {"ref": "changeininfinity/titanic-problem-with-tensorflow", "kernel_id": "526475"}, {"ref": "lisamariepritchett/what-about-the-parents-my-path-to-top-4", "kernel_id": "885748"}, {"ref": "mozanator/fork-of-notebook96e3ce21c3", "kernel_id": "529976"}, {"ref": "highko/getting-familiar-with-ml", "kernel_id": "820100"}, {"ref": "mrmdj250/kaggle-19-m3-dutch", "kernel_id": "587554"}, {"ref": "sourabhji/titanic-data-science-solutions", "kernel_id": "591418"}, {"ref": "sgus1318/titanic-analysis-learning-to-swim-with-python", "kernel_id": "528605"}, {"ref": "gongchen/starting-from-titanic", "kernel_id": "529106"}, {"ref": "scottvirshup/titanic-predictions-virshup-bax", "kernel_id": "534991"}, {"ref": "dhamlett/modeling-survival-with-logistic-regression", "kernel_id": "530968"}, {"ref": "rohankayan/a-journey-through-titanic", "kernel_id": "775567"}, {"ref": "sccdzyb/titanic-disaster", "kernel_id": "534686"}, {"ref": "noaki12/notebookf9c2909ab8", "kernel_id": "595775"}, {"ref": "noaki12/kaggle-16", "kernel_id": "595781"}, {"ref": "nikhilclasher/titanic-disaster-100-accuracy", "kernel_id": "675253"}, {"ref": "swang623/intro-to-ml-through-titanic-survival-prediction", "kernel_id": "531137"}, {"ref": "faizunnabi/titanic-disaster-model-comparison", "kernel_id": "765755"}, {"ref": "marintonjohn/ml-titanic", "kernel_id": "766759"}, {"ref": "nptumis103035/titanic-data-science-solutions-8954f2", "kernel_id": "532890"}, {"ref": "ctuckercva/tucker-bax-452", "kernel_id": "532838"}, {"ref": "samuelh/barebones-titanic-logistic-regression-test", "kernel_id": "537929"}, {"ref": "jmercer187/fork-of-titanic2", "kernel_id": "542607"}, {"ref": "jmy666/using-decision-tree-to-predict-survival", "kernel_id": "534518"}, {"ref": "prakgupta/titanic-analysis-beginner-exercise", "kernel_id": "534418"}, {"ref": "leondthurrell/notebookdb99441df4", "kernel_id": "535987"}, {"ref": "psangam/titanic-survival-analysis-and-prediction-using-ml", "kernel_id": "555983"}, {"ref": "datarookies/first-kaggle", "kernel_id": "574138"}, {"ref": "iamsaurabhc/deep-learning-model-to-predict-the-survival", "kernel_id": "535185"}, {"ref": "sanjeetiitr1/titanic-survival-prediction-for-beginners", "kernel_id": "907911"}, {"ref": "grailfinder/basic-neural-network-with-numpy-titanic", "kernel_id": "670321"}, {"ref": "frusunnanbo/olympicfailure", "kernel_id": "535414"}, {"ref": "anthonyfong/titanic-ml-guide-for-begineers", "kernel_id": "536658"}, {"ref": "bill072/gcma-test-58f85d", "kernel_id": "537528"}, {"ref": "amchowdh/intro-to-python-and-machine-learning-with-titanic", "kernel_id": "535767"}, {"ref": "anuragn4/an-interactive-data-science-tutorial", "kernel_id": "588152"}, {"ref": "oceancode/titanic-data-beginner", "kernel_id": "593368"}, {"ref": "adibigsun/titanic-data-science-solutions-67f6a3", "kernel_id": "536934"}, {"ref": "shanxingg/titanic-ml-from-disaster", "kernel_id": "536565"}, {"ref": "intrepidnomad/titanic-neural-network-logistic-regression", "kernel_id": "814558"}, {"ref": "nakanotokyo/titanica", "kernel_id": "563319"}, {"ref": "mshadoufa/titanic-prediction-tf2", "kernel_id": "823781"}, {"ref": "hasanhasan/kernelec7af50ddc", "kernel_id": "684170"}, {"ref": "hasanhasan/tensorflow-deep-learning-with-embarked", "kernel_id": "684271"}, {"ref": "ramseslem/ramses-almanza-titanic-ml-competition", "kernel_id": "666175"}, {"ref": "jimmybatt/titanic-first-ml-model-in-python-svc", "kernel_id": "569981"}, {"ref": "asterias99/titanic-machine-learning-from-disaster", "kernel_id": "761710"}, {"ref": "sai977/titanic-ml", "kernel_id": "808843"}, {"ref": "bigbillions/titanic-for-beginners", "kernel_id": "758879"}, {"ref": "jundiao/jun-titanic-competition", "kernel_id": "655841"}, {"ref": "jundiao/jun-jupyter-notebook", "kernel_id": "725680"}, {"ref": "takahashi1205/notebookfb28a00ef8", "kernel_id": "539425"}, {"ref": "suiyue/titanic-twice", "kernel_id": "784614"}, {"ref": "suiyue/titanic", "kernel_id": "784262"}, {"ref": "asraful70/titanic-survival-prediction-by-xgboost", "kernel_id": "937022"}, {"ref": "jackone1/titanic-data-science-solutions", "kernel_id": "682650"}, {"ref": "calvin20cc/titanic-survival-prediction", "kernel_id": "679570"}, {"ref": "adyonfire/surviving-the-titanic-apply-ml", "kernel_id": "574389"}, {"ref": "irulenot/titanic-attempt", "kernel_id": "595657"}, {"ref": "shankarpendse/titanicsurvivortraining", "kernel_id": "556112"}, {"ref": "yovinyahathugoda/fork-of-neural-network", "kernel_id": "669769"}, {"ref": "yovinyahathugoda/decision-tree", "kernel_id": "658013"}, {"ref": "beratishere/titanic-with-keras-nn", "kernel_id": "575742"}, {"ref": "asavv7/titanic-data-science-solutions", "kernel_id": "641415"}, {"ref": "geluxp/q3-project-titanic-disaster", "kernel_id": "548581"}, {"ref": "hurleyli/titanic-artificial-neural-network", "kernel_id": "545775"}, {"ref": "damienpark/artificial-neural-network-using-keras", "kernel_id": "714742"}, {"ref": "davinkie/leren-en-beslissen-group-15-competition-entry", "kernel_id": "577805"}, {"ref": "aigeeky/titanic-a-step-by-step-intro-to-machine-learning", "kernel_id": "917475"}, {"ref": "anniecasey/journey-from-statistics-eda-to-prediction", "kernel_id": "544747"}, {"ref": "mohdbarakat/titanic-tragedy-survival-prediction-with-ml", "kernel_id": "618429"}, {"ref": "schatz37/titanic-godong", "kernel_id": "563888"}, {"ref": "florentt/starting-titanic", "kernel_id": "546746"}, {"ref": "pavansanagapati/automated-hyperparameter-tuning", "kernel_id": "811347"}, {"ref": "pavansanagapati/tableau-intro-use-cases", "kernel_id": "863414"}, {"ref": "hermawanwiwit/titanic-data-science-solutions", "kernel_id": "547677"}, {"ref": "vikasdubey/titanic-survival-prediction", "kernel_id": "891521"}, {"ref": "graemen/titanicasmallneuralnetworksolution", "kernel_id": "560468"}, {"ref": "aishanhang/titanic-study-2-10", "kernel_id": "624492"}, {"ref": "satyakatti/titanic-data-multiple-classifiers", "kernel_id": "858428"}, {"ref": "tingli2010/first-try-on-titanic", "kernel_id": "891075"}, {"ref": "chenleishen/titanic-tutorial-using-scikit", "kernel_id": "575612"}, {"ref": "clover18/exploring-the-titanic-dataset", "kernel_id": "706334"}, {"ref": "hyunkyung12/titanic", "kernel_id": "553810"}, {"ref": "wenyongliu/notebook234693c8ac", "kernel_id": "553893"}, {"ref": "smiles93/pca-logistic-regression-decision-tree", "kernel_id": "633182"}, {"ref": "ayushnitb/titanic-disaster-machine-learning-step-by-step", "kernel_id": "971811"}, {"ref": "lcqueiroz/titanic-passengers-dataset", "kernel_id": "554811"}, {"ref": "souravdas4/prediction-of-survival-in-titanic-disaster", "kernel_id": "598498"}, {"ref": "kishangabani/first-compitition", "kernel_id": "795162"}, {"ref": "bertfan/notebook6d71b31f6e", "kernel_id": "555709"}, {"ref": "shawnliu04/tensorflow-dnn-classification", "kernel_id": "577490"}, {"ref": "yprathyusha/titanic-sinking-survival-prediction", "kernel_id": "558860"}, {"ref": "rabitrun/notebook45f6f2d602", "kernel_id": "556532"}, {"ref": "mutterberg/titanic-utterberg", "kernel_id": "641574"}, {"ref": "qamaruddin/titanic", "kernel_id": "712790"}, {"ref": "clare3/titanic-describing-summarising-visualising", "kernel_id": "678090"}, {"ref": "clare3/titanic-wrangling", "kernel_id": "694791"}, {"ref": "fabiobaldissera/neural-net-1-hidden-layer-86-acc-titanic", "kernel_id": "885994"}, {"ref": "raaadsc/titanic", "kernel_id": "631776"}, {"ref": "madanchawla/titanic-survival-prediction", "kernel_id": "903393"}, {"ref": "blastchar/titanic-the-machine-learning-try-pass-80", "kernel_id": "645068"}, {"ref": "blastchar/titanic-the-machine-learning-h2o-ensemble", "kernel_id": "763568"}, {"ref": "blastchar/titanic-machine-learning-try-to-improve", "kernel_id": "853861"}, {"ref": "blastchar/titanic-machine-learning-try-to-improve-v2", "kernel_id": "877822"}, {"ref": "blastchar/titanic-the-machine-learning-version-noob", "kernel_id": "562625"}, {"ref": "blastchar/titanic-the-machine-learning-improve-data-1", "kernel_id": "564688"}, {"ref": "blastchar/titanic-the-machine-learning-improve-data-2", "kernel_id": "573589"}, {"ref": "blastchar/titanic-the-machine-learning-fix-some-mistakes", "kernel_id": "595767"}, {"ref": "pspiess/sinking-boat-experience-notebook", "kernel_id": "565522"}, {"ref": "hanimounla/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "571306"}, {"ref": "agrawalpu/basic-guide-for-beginners", "kernel_id": "741968"}, {"ref": "hajdzena/titanic-my-firs-machine-learning-project", "kernel_id": "663493"}, {"ref": "gar283/titanic-dataset-analysis", "kernel_id": "661135"}, {"ref": "aikevin/my-tianic-survival-predict", "kernel_id": "565069"}, {"ref": "pileatedperch/titanic-predicting-survival", "kernel_id": "682246"}, {"ref": "sapreakshay/titanic-assignment", "kernel_id": "704919"}, {"ref": "ratnakarbijili/notebookdab5ae54a6", "kernel_id": "567093"}, {"ref": "rabinandan/titanic-data-science-solutions", "kernel_id": "567785"}, {"ref": "rabinandan/data-science-with-titanic-dataset", "kernel_id": "594820"}, {"ref": "rabinandan/titanic-dataset-who-is-too-lucky-to-survive", "kernel_id": "605034"}, {"ref": "seongwan/titanic-by-wan", "kernel_id": "765133"}, {"ref": "gabrielmlg/solution-titanic", "kernel_id": "578833"}, {"ref": "matheus013/nuagix-titanix", "kernel_id": "912168"}, {"ref": "grajasekar/titanic-kernel", "kernel_id": "614284"}, {"ref": "saharmillis/titanic-competition", "kernel_id": "805914"}, {"ref": "krishkmaan/titanic-prob-kernel", "kernel_id": "740691"}, {"ref": "leonardojesus/titanic-1-0", "kernel_id": "571525"}, {"ref": "huanvo/titanic-prediction-with-cforest-0-82296", "kernel_id": "983439"}, {"ref": "mikelkn/titanic-sunk", "kernel_id": "597793"}, {"ref": "mikelkn/the-titanic-sunk-again", "kernel_id": "722030"}, {"ref": "mikekrisko/kernel2732c14536", "kernel_id": "658444"}, {"ref": "zhouqiao/titanic-predict", "kernel_id": "576847"}, {"ref": "pushkarsaxena96/predicting-titanic-survivors", "kernel_id": "856892"}, {"ref": "amitguptadumka/titanic", "kernel_id": "577786"}, {"ref": "jatinder8889/scikit-learn-ml-from-start-to-finish", "kernel_id": "685484"}, {"ref": "swknight/notebookfd9f2750a4", "kernel_id": "577837"}, {"ref": "zhangrui19950516/an-interactive-data-science-tutorial-359a4c", "kernel_id": "692467"}, {"ref": "zhangrui19950516/an-interactive-data-science-tutorial-c9d176", "kernel_id": "692537"}, {"ref": "sannuthaholla/analysis-using-titanic-dataset", "kernel_id": "712422"}, {"ref": "carolyneejs/first-practice", "kernel_id": "583894"}, {"ref": "shabin/titanic-get-started", "kernel_id": "583986"}, {"ref": "fleanend/logisticregression", "kernel_id": "813362"}, {"ref": "pragya29/random-forest-algorithm", "kernel_id": "857706"}, {"ref": "willtv/fork-of-dummy-e-features-num-ricas-pt-br-p0", "kernel_id": "589938"}, {"ref": "sreepr/kaggle-starter", "kernel_id": "590757"}, {"ref": "deadskull7/in-depth-analysis-of-titanic-0-85074", "kernel_id": "670019"}, {"ref": "jkentjnr/notebookf8308b9dee", "kernel_id": "597143"}, {"ref": "chethanp11/titanic-survival-prediction-random-forests", "kernel_id": "766679"}, {"ref": "chethanp11/titanic-survival-prediction-logistic-regression", "kernel_id": "765883"}, {"ref": "antmarakis/beginner-keras-and-visualization-tutorial", "kernel_id": "663373"}, {"ref": "maticortes/partial-dependence-plots-iowa-data", "kernel_id": "759018"}, {"ref": "sjkerr/exploring-the-titanic-data-set", "kernel_id": "675053"}, {"ref": "padyue/2nd-degree-pred-try-to-get-8-score-final", "kernel_id": "922128"}, {"ref": "padyue/try-to-get-8-score-using-2nd-degree-pred-peng", "kernel_id": "912088"}, {"ref": "sparrowmu/learning-adaline-on-titanic", "kernel_id": "689971"}, {"ref": "duducp/titanic-aula-1", "kernel_id": "712983"}, {"ref": "wyller/tcc-predict", "kernel_id": "786586"}, {"ref": "paulohncaixeta/titanic-aula-1", "kernel_id": "712985"}, {"ref": "danielcostt/titanic", "kernel_id": "712993"}, {"ref": "nbuhagiar/predicting-survival-with-xgboost", "kernel_id": "798528"}, {"ref": "rohitmahor/titanic-problem", "kernel_id": "716234"}, {"ref": "uguess/titanic-ml-from-disaster", "kernel_id": "749572"}, {"ref": "uguess/sinking-of-the-titanic-in-ml", "kernel_id": "855506"}, {"ref": "charlesbreno92/titanic", "kernel_id": "698117"}, {"ref": "lucasborba/titanic", "kernel_id": "698119"}, {"ref": "juliocesar00/titanic", "kernel_id": "698109"}, {"ref": "barcelosleticia/titanic", "kernel_id": "698134"}, {"ref": "sishihara/standard-approach-for-kaggle", "kernel_id": "941625"}, {"ref": "telio18/an-interactive-data-science-tutorial", "kernel_id": "641482"}, {"ref": "rafaelvleite/titanic-machine-learning-random-forest", "kernel_id": "678867"}, {"ref": "rafaelvleite/titanic-artificial-neural-network-80-score", "kernel_id": "668849"}, {"ref": "timosdk/first-go-at-titanic-dataset", "kernel_id": "645173"}, {"ref": "andrecn/random-forest-caret-model-prediction-titanic", "kernel_id": "645888"}, {"ref": "kritisharma04/kernel4b402015b0", "kernel_id": "627211"}, {"ref": "josephstalinpeter/my-first-kaggle-workbook-titanic", "kernel_id": "699691"}, {"ref": "mmdeluna/titanic-survival-using-crisp-data-mining-process", "kernel_id": "664351"}, {"ref": "mmdeluna/titanic-survival-using-crisp-dm", "kernel_id": "666512"}, {"ref": "whitesoulxxxx/my-first-kernel-and-my-first-submission-ever", "kernel_id": "921459"}, {"ref": "whitesoulxxxx/hello", "kernel_id": "926443"}, {"ref": "codilis/titanic-dataset", "kernel_id": "961263"}, {"ref": "manisood001/titanic-m-l", "kernel_id": "847197"}, {"ref": "pierrefritsch/titanic-tensorflow-only-gender-export-to-csv", "kernel_id": "649126"}, {"ref": "abhigrover/titanic-sample-run-baseline", "kernel_id": "744223"}, {"ref": "abhigrover/titanic-with-svm", "kernel_id": "744401"}, {"ref": "mvayda31/titanic-16april2018pmcrude6itworks", "kernel_id": "869684"}, {"ref": "dhest12/titanic-24april2018logregexplorer-a", "kernel_id": "885982"}, {"ref": "oliviaburke/titanic-16april2018pmcrude6itworks", "kernel_id": "869685"}, {"ref": "oliviaburke/the-amazing-notebook", "kernel_id": "824551"}, {"ref": "sarahkeo33/sarahtitanicnotebook", "kernel_id": "824559"}, {"ref": "sarahkeo33/titanic-16april2018pmcrude6itstillworks", "kernel_id": "869671"}, {"ref": "sarahkeo33/titanic-25april2018logregexplorer-amc", "kernel_id": "904788"}, {"ref": "philarena/jonkheer-of-the-titanic-text-preprocessing", "kernel_id": "722431"}, {"ref": "willianw/simplest-solution-0-77-lb", "kernel_id": "661903"}, {"ref": "willianw/random-forest", "kernel_id": "697119"}, {"ref": "willianw/titanic-survival-prediction", "kernel_id": "800350"}, {"ref": "mlisovyi/lightgbm-vs-xgboost-sklearn-api", "kernel_id": "945351"}, {"ref": "karnatapu/titanic-first-ml-program-notebook", "kernel_id": "766198"}, {"ref": "mtethan/titanic-shallow-nn-manual", "kernel_id": "703885"}, {"ref": "arthurspa/fork-of-titanic-ml-from-disaster-dnn-with-keras", "kernel_id": "764656"}, {"ref": "shahaniket/titanic-analysis", "kernel_id": "777651"}, {"ref": "sam19051993/regressed-predictive-model-for-titanic-survivors", "kernel_id": "757332"}, {"ref": "backtosept/titanic-data-science-solutions-488442", "kernel_id": "694557"}, {"ref": "njmei42/kaggle-titanic-with-tensorflow", "kernel_id": "789773"}, {"ref": "ml210mlgeek/ml210-l06-mlgeek", "kernel_id": "679326"}, {"ref": "mahendrabishnoi2/titanic-mahendra-neeraj", "kernel_id": "672337"}, {"ref": "skan3798/skan3798-titanic-training-set", "kernel_id": "692959"}, {"ref": "nlarranagac/head-start-for-data-scientist", "kernel_id": "673900"}, {"ref": "christianbh/titanic-analysis-and-survival-prediction", "kernel_id": "692928"}, {"ref": "artgenesis/titanic-disasterina", "kernel_id": "712986"}, {"ref": "mrinalmp/titanic-journey-with-python", "kernel_id": "830234"}, {"ref": "anshuljdhingra/titanic-kernel", "kernel_id": "936173"}, {"ref": "astroimo/titanic-attack", "kernel_id": "682253"}, {"ref": "carlosreyes1/fork-of-titanic-dt", "kernel_id": "687204"}, {"ref": "mmodzel/neural-network-with-data-division", "kernel_id": "683344"}, {"ref": "zupalex/titanic-training-notebook", "kernel_id": "700373"}, {"ref": "gosaingourav17/conundrumkernel", "kernel_id": "772080"}, {"ref": "azerdemir/titanic-disaster-notebook", "kernel_id": "690384"}, {"ref": "kathleenwang/titanic-script", "kernel_id": "708777"}, {"ref": "neveldo/titanic-eda-predictions-attempt", "kernel_id": "830673"}, {"ref": "greenback200/titanic-competition-infsci-2725", "kernel_id": "690063"}, {"ref": "parthgarg91/titanic-survival-submission", "kernel_id": "763247"}, {"ref": "harumit/titanic-beginners-training", "kernel_id": "972029"}, {"ref": "datafrost1997/kaggle-titanic", "kernel_id": "722016"}, {"ref": "emlini/kaggle-titanic-survival-model", "kernel_id": "704596"}, {"ref": "arnab1315/simple-decision-tree-model-for-beginners", "kernel_id": "690801"}, {"ref": "ashwathshetty/fork-of-titanic-eda-classification-end-to-end", "kernel_id": "867104"}, {"ref": "swadhinnanda/predicting-titanic-survivors-using-nn", "kernel_id": "699603"}, {"ref": "gledsonpicharski/data-science-with-r-exploring-and-modelling", "kernel_id": "879207"}, {"ref": "bodek87/titanic-mvp", "kernel_id": "842697"}, {"ref": "ml210introstudent/ml210introstudenttitanic", "kernel_id": "690208"}, {"ref": "jennyturbo/my-first-machine-learning-project-titanic", "kernel_id": "736037"}, {"ref": "opjason/titanicsarita", "kernel_id": "730232"}, {"ref": "lazyturtl/titanic-script", "kernel_id": "729703"}, {"ref": "nishant7007/fork-of-fork-of-fork-of-fork-of-fork-of-kernelc693", "kernel_id": "704221"}, {"ref": "nishant7007/fork-of-fork-of-fork-of-fork-of-kernelc6939e9039", "kernel_id": "704071"}, {"ref": "dgolden/titanic-project", "kernel_id": "746292"}, {"ref": "bdmj12/titanic-solutions-from-ahmed-besbes-tutorial", "kernel_id": "730105"}, {"ref": "macrosp/logistic-regression-titanic-dataset", "kernel_id": "892666"}, {"ref": "fornitroll/titanic-survive", "kernel_id": "700382"}, {"ref": "fornitroll/random-forest-rev0", "kernel_id": "739269"}, {"ref": "farconada/titanic-third-round-stacking", "kernel_id": "721970"}, {"ref": "farconada/titanic-keras-new-round", "kernel_id": "861975"}, {"ref": "miki1201/titanic-randomforest", "kernel_id": "866744"}, {"ref": "nakatahello/support-vector-implementation-model", "kernel_id": "762950"}, {"ref": "abhisnh/fork-of-basic-eda-and-ml-models", "kernel_id": "829556"}, {"ref": "raulvp/titanic-survival-competition", "kernel_id": "703915"}, {"ref": "alabetskiy/simple-logistic-regression-titanic", "kernel_id": "919703"}, {"ref": "rafaelcavalcante/fork-of-kernel1d1cc5994c", "kernel_id": "705087"}, {"ref": "ishaansharma/titanic-survival-prediction-using-scikit-learn", "kernel_id": "756036"}, {"ref": "thedjaney/titanic", "kernel_id": "753837"}, {"ref": "sahilsunny/exploring-the-titanic-dataset", "kernel_id": "964818"}, {"ref": "klashgari/titanic", "kernel_id": "712266"}, {"ref": "igorvyr/automatic-feature-selection-voting", "kernel_id": "745713"}, {"ref": "vishwasourab/titanic-ship-sinking-survival-prediction-using-svc", "kernel_id": "851606"}, {"ref": "vishwasourab/titanic-ship-sinking-dataset-analysis", "kernel_id": "806275"}, {"ref": "rashmiek99/titanic-data-science-solutions", "kernel_id": "909697"}, {"ref": "rahulsridhar2811/titanic-analysis-and-survival-prediction", "kernel_id": "734139"}, {"ref": "weilinzou/attempting-titanic", "kernel_id": "742896"}, {"ref": "nglukhoa/titanic-exploration", "kernel_id": "890598"}, {"ref": "giodev11/titanic-disaster-analysis", "kernel_id": "751359"}, {"ref": "zihaozhang9/simple-linear", "kernel_id": "720905"}, {"ref": "chenyingjie/titanic-survival-s-prediction-with-voting", "kernel_id": "893910"}, {"ref": "umeshsati54/backward-elimination", "kernel_id": "864255"}, {"ref": "blackbird98/multiple-lr-pclass-sex-age-sib-parch-fare", "kernel_id": "794132"}, {"ref": "blackbird98/titanic", "kernel_id": "722502"}, {"ref": "aaronsantos/basics", "kernel_id": "738851"}, {"ref": "rodolpho27/desafio-titanic-em-naive-bayes", "kernel_id": "737926"}, {"ref": "nemkothari/titanic-data-science-solutions", "kernel_id": "816712"}, {"ref": "azmanvai/titanic-prediction", "kernel_id": "735498"}, {"ref": "dgkim5360/a-few-practical-thoughts-on-supervised-learning", "kernel_id": "802195"}, {"ref": "hamzabkazi/basic-predictions", "kernel_id": "747140"}, {"ref": "umangnangal/titanic-svm", "kernel_id": "727328"}, {"ref": "anezka/titanic-problem", "kernel_id": "738361"}, {"ref": "liuwei0313/titanic-ml-lw", "kernel_id": "731930"}, {"ref": "devinodsa/titanic", "kernel_id": "765296"}, {"ref": "medmond78/team-ballard-titanic-exploration", "kernel_id": "999747"}, {"ref": "nigelqiu/basic-titanic-dataset-classifier", "kernel_id": "731939"}, {"ref": "nader0728/introduction-to-ensembling-stacking-in-python", "kernel_id": "734474"}, {"ref": "cdeotte/titanic-using-name-only-0-81818", "kernel_id": "994955"}, {"ref": "cshields/introduction-to-naive-bayesian-classifier", "kernel_id": "794134"}, {"ref": "cshields/classifier-comparison", "kernel_id": "966638"}, {"ref": "lssilveira11/titanic-a-simple-beginner-s-approach", "kernel_id": "879296"}, {"ref": "div1996p/titanic-servival-case", "kernel_id": "834136"}, {"ref": "narumin/titanic-data-science-japanese-tutorial", "kernel_id": "779028"}, {"ref": "multiplexer/initial", "kernel_id": "876698"}, {"ref": "guillaumemartin/simple-supervised-learning-pipeline", "kernel_id": "962525"}, {"ref": "chromamancer/an-interactive-data-science-tutorial", "kernel_id": "743753"}, {"ref": "enriquema/titanic-analysis", "kernel_id": "742332"}, {"ref": "abdullashuja/kernel4d5ef63729", "kernel_id": "816143"}, {"ref": "oembot/initial-data-exploration-modelling", "kernel_id": "948267"}, {"ref": "benjaminwang/titanic-expore-logistic-regression", "kernel_id": "892447"}, {"ref": "benjaminwang/titanic-expore-svm-classification", "kernel_id": "923653"}, {"ref": "mityura/titanic-simple", "kernel_id": "748143"}, {"ref": "wzhylym/titanic-code", "kernel_id": "763667"}, {"ref": "wzhylym/titanic-code-for-svm", "kernel_id": "765564"}, {"ref": "wikiabhi/titanic-problem-by-random-forest", "kernel_id": "754209"}, {"ref": "shajahanar/myjupyter", "kernel_id": "754319"}, {"ref": "mjaw33/titanic-beginner-analysis", "kernel_id": "873136"}, {"ref": "wsm1992/titanic-with-tensorflow", "kernel_id": "906266"}, {"ref": "tanapatkaggle/titanic", "kernel_id": "791049"}, {"ref": "prabhupant/kernel80a969e58f", "kernel_id": "920471"}, {"ref": "igaitan/titanic-solution", "kernel_id": "834965"}, {"ref": "jhansia/titanic-survival-predictions-using-data-science", "kernel_id": "888091"}, {"ref": "gobrando/titanic-survival-prediction", "kernel_id": "891558"}, {"ref": "austinotutu/titanic-made-simple-for-beginners", "kernel_id": "764867"}, {"ref": "ajaykgp12/titanic-803-accuracy-11-rank", "kernel_id": "860699"}, {"ref": "sherif924/first-kernel", "kernel_id": "829000"}, {"ref": "delimixx/beginner-first-analytics-eda-xgboost", "kernel_id": "765212"}, {"ref": "jfeng1023/titanic-prediction-in-r", "kernel_id": "874442"}, {"ref": "frostmourne66/titanic-analysis", "kernel_id": "787239"}, {"ref": "frostmourne66/fork-of-titanic-analysis", "kernel_id": "791088"}, {"ref": "fkstepz/step-by-step-titanic-survival-predictions", "kernel_id": "925130"}, {"ref": "akshaykumarjain/titanic-survivor", "kernel_id": "907406"}, {"ref": "akshaykumarjain/keggle-titanic-submission", "kernel_id": "911856"}, {"ref": "amanagg/titanic-solution", "kernel_id": "841493"}, {"ref": "nababasky/an-interactive-data-science-tutorial", "kernel_id": "914319"}, {"ref": "mayundashabi/titanic", "kernel_id": "831647"}, {"ref": "yhzjut/leyutestrun", "kernel_id": "791914"}, {"ref": "ghillaz/titanic-ghillaz", "kernel_id": "824129"}, {"ref": "michaelmcfall/titanic-survival-analysis", "kernel_id": "909927"}, {"ref": "kraxximus/85percentbaby", "kernel_id": "806800"}, {"ref": "kraxximus/praise-manav", "kernel_id": "814477"}, {"ref": "youhe2482/titanic-a-very-first-step", "kernel_id": "838419"}, {"ref": "abhi113/kernel4b2cf04e59", "kernel_id": "799377"}, {"ref": "ydalat/titanic-a-step-by-step-intro-to-machine-learning", "kernel_id": "855815"}, {"ref": "alielhenidy/titanic-data-science-solutions", "kernel_id": "805554"}, {"ref": "animeshseemendra/scikit-learn-ml-from-start-to-finish", "kernel_id": "864506"}, {"ref": "sp241930/titanicdataml", "kernel_id": "865764"}, {"ref": "rohitvijay/titanic-prediction-using-logistic-regression", "kernel_id": "903529"}, {"ref": "zmingzhao/titanic1", "kernel_id": "831462"}, {"ref": "aruffner/titanic-with-decisiontree", "kernel_id": "830279"}, {"ref": "bineetranjan/titanic-problem-my-first-kaggle", "kernel_id": "885473"}, {"ref": "tomorowo/titanic-using-tensorflow-3-deeper-than-2", "kernel_id": "852572"}, {"ref": "tomorowo/titanic-using-tensorflow-2-lower-than-expected", "kernel_id": "848002"}, {"ref": "tomorowo/titanic-using-tensorflow", "kernel_id": "828246"}, {"ref": "forgetz/titanic", "kernel_id": "840199"}, {"ref": "shineatml/fork-of-titanic-a-demo-of-pandas-and-scikit-learn", "kernel_id": "845532"}, {"ref": "jotham91/titanic-code-2-may-18", "kernel_id": "930858"}, {"ref": "andreoliveira1992/titanic-andre", "kernel_id": "824041"}, {"ref": "flagma/my-first-competition-on-kaggle-top-11", "kernel_id": "953625"}, {"ref": "lalitpanwar10086/kernel8b06b8faae", "kernel_id": "828752"}, {"ref": "jgradt/titanic-with-keras-and-tensorflow", "kernel_id": "865858"}, {"ref": "zhoupeng11/titanic-data-science-solutions", "kernel_id": "971604"}, {"ref": "sanath493/titanic-kernal-v1", "kernel_id": "837312"}, {"ref": "kaushik247/titanic-survivor", "kernel_id": "846795"}, {"ref": "rosh01/beginners-logistic-regression-model-titanic", "kernel_id": "899258"}, {"ref": "katefallon/titanic-data-science-solutions-761963", "kernel_id": "868995"}, {"ref": "vectorization/minimal-titanic-approach", "kernel_id": "946075"}, {"ref": "reseimei/firstkaggle", "kernel_id": "899853"}, {"ref": "khroushan/titanic-v1", "kernel_id": "974402"}, {"ref": "hannahccarson/an-interactive-data-science-tutorial-346588", "kernel_id": "969725"}, {"ref": "cookiedough/titanic-ml-beginner", "kernel_id": "968832"}, {"ref": "vudm78/vu-dm-78-decision-tree", "kernel_id": "892530"}, {"ref": "zhangmiaoran/titanic-survival-perdiction-by-python", "kernel_id": "899260"}, {"ref": "citizenkyle/first-kernel", "kernel_id": "875072"}, {"ref": "rahul169/titanic-prediction", "kernel_id": "902365"}, {"ref": "bakakashi/titanic", "kernel_id": "957382"}, {"ref": "daniel83fr/titanic-how-to-start-a-beginners-path", "kernel_id": "889688"}, {"ref": "ilovedeeplearning/dnn-binary-classification", "kernel_id": "884071"}, {"ref": "ilovedeeplearning/titanic-data-analysis-rf-prediction-0-81818", "kernel_id": "883610"}, {"ref": "dlarionov/titanic-xgboost", "kernel_id": "937170"}, {"ref": "dlarionov/titanic-catboost", "kernel_id": "965330"}, {"ref": "seeashu007/journey-towards-the-ml-on-titanic", "kernel_id": "926362"}, {"ref": "ypcfirst/titanic-model-using-logistic-regression", "kernel_id": "893662"}, {"ref": "ypcfirst/a-journey-through-titanic", "kernel_id": "893840"}, {"ref": "maizespark/titanic-survivor-neural-network-model", "kernel_id": "897515"}, {"ref": "carlesac/titanic-prediction-rule-learner", "kernel_id": "982394"}, {"ref": "carlesac/titanic-prediction-deep-neural-networks-dnn", "kernel_id": "994464"}, {"ref": "albertkee/titanic-data-science-solutions", "kernel_id": "906231"}, {"ref": "ravalin/first-approach-to-titanic-competition", "kernel_id": "964667"}, {"ref": "vbrodrigues/fork-of-titanic-machine-learning-test", "kernel_id": "928090"}, {"ref": "wzw1985/kernel006539208d", "kernel_id": "960804"}, {"ref": "jessekerr/jesse-titanic", "kernel_id": "987975"}, {"ref": "toldyou/begin-with-neural-network-at-81-accuracy", "kernel_id": "976962"}, {"ref": "stormsh3ll/second-run", "kernel_id": "940968"}, {"ref": "shinyafujita/shinyafujita-01", "kernel_id": "992943"}, {"ref": "twanifuchi/this-is-my-first-kernel-titanic", "kernel_id": "938280"}, {"ref": "fukajun/copy-and-paste", "kernel_id": "965062"}, {"ref": "eitarox/start-from-titanic", "kernel_id": "915615"}, {"ref": "ayush0510/finding-important-factors-to-survive-titanic", "kernel_id": "917393"}, {"ref": "azzamo92/kernel71ddf638b5", "kernel_id": "921772"}, {"ref": "jquerne/titanic-pipelines-simple-features-0-80382", "kernel_id": "977015"}, {"ref": "jmohitj/adaboostclassifier-and-gradientboostingclassifier", "kernel_id": "987451"}, {"ref": "jmohitj/simple-logistic-regression", "kernel_id": "921342"}, {"ref": "viniciusbbizarri/titanic-mlgod", "kernel_id": "966236"}, {"ref": "vjbaskii/titanic-returns-with-98-80-plus-advanced-tut-2018", "kernel_id": "951969"}, {"ref": "hihelloo/hello", "kernel_id": "927255"}, {"ref": "hihelloo/fork-of-hello", "kernel_id": "927870"}, {"ref": "hihelloo/my-approach-to-titanic-competition", "kernel_id": "927659"}, {"ref": "hihelloo/fork-of-el-importante", "kernel_id": "937338"}, {"ref": "harrygem/titanic-pipeline-and-save-load-model", "kernel_id": "935821"}, {"ref": "susheelmaan/titanic-code-2-may-18", "kernel_id": "935668"}, {"ref": "sheshang/titanic-survival", "kernel_id": "974706"}, {"ref": "dsuservt/titanic-prediction", "kernel_id": "996785"}, {"ref": "aleksandrskrivickis/kernel454d767576", "kernel_id": "945275"}, {"ref": "popupsert/titanic-my-first-kaggle", "kernel_id": "946318"}, {"ref": "omkarsabnis/svm-knn-rf-and-dt-implementation-titanic", "kernel_id": "964094"}, {"ref": "ryohama/titanic-random-forest-1", "kernel_id": "974195"}, {"ref": "euchimura/helloworld-kernel", "kernel_id": "983990"}, {"ref": "ashutoshkan/titanic-solution", "kernel_id": "960448"}, {"ref": "atmanpatel294/kernel185750d970", "kernel_id": "993389"}, {"ref": "vyoyo15/a-data-science-framework-to-achieve-99-ac-9a618e", "kernel_id": "980887"}, {"ref": "corgicoffee/kernelb4bd873fab", "kernel_id": "970876"}, {"ref": "michaeltong/sink-or-swim", "kernel_id": "969929"}, {"ref": "abakshi1/data-analysis-and-prediction-of-survival", "kernel_id": "988108"}, {"ref": "dpkenna/dpk-titanic", "kernel_id": "980437"}, {"ref": "chajath/logreg-randomforest", "kernel_id": "994807"}, {"ref": "datagoose0/titantic-data-set", "kernel_id": "1049728"}, {"ref": "jeremymiles/samohi-ds-club", "kernel_id": "1850040"}, {"ref": "jeremymiles/kernel356a6477ee", "kernel_id": "1872941"}, {"ref": "ravihela/titanic-survival", "kernel_id": "1022956"}, {"ref": "darbin/titanic-decision-tree-lb-69-377", "kernel_id": "1832445"}, {"ref": "babinu/scoring-more-than-80-by-doing-svc-on-names-field", "kernel_id": "1415708"}, {"ref": "pageman/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "1247239"}, {"ref": "ellcar/titanic-tutorial", "kernel_id": "1895644"}, {"ref": "liananapalkova/automated-feature-engineering-for-titanic-dataset", "kernel_id": "1563616"}, {"ref": "simn128968/getting-started-titanic-data", "kernel_id": "1252985"}, {"ref": "gokultalele/titanic-machine-learning-from-disaster", "kernel_id": "1472960"}, {"ref": "canaan/the-testing-for-linear-tree-and-nn-models-2", "kernel_id": "1397859"}, {"ref": "chengn/mis-532-scikit-learn-ml-from-start-to-finish", "kernel_id": "1903957"}, {"ref": "bigdata4u/machine-learning", "kernel_id": "1234068"}, {"ref": "jlochter/titanic-simplistic-analysis-ensemble", "kernel_id": "1357281"}, {"ref": "ankitrathi/titanic-eda-baseline", "kernel_id": "1143674"}, {"ref": "mukunde/titanic-competition-with-tpot-automl-tool", "kernel_id": "1308561"}, {"ref": "neillwhite0/titanic-survival-prediction-with-r", "kernel_id": "1549984"}, {"ref": "soloman0/data-science-understandings-with-titanic-solution", "kernel_id": "1170486"}, {"ref": "behrica/predict-titanic-survivers", "kernel_id": "1041840"}, {"ref": "leaflettuce/titanic-revisited-w-xgboost", "kernel_id": "1454615"}, {"ref": "shivamsizzling/titanic-ml-by-shivam", "kernel_id": "1834695"}, {"ref": "sonu1401/titanic-eda", "kernel_id": "1060302"}, {"ref": "imrankhaliq/tf-logistic-regression-complete", "kernel_id": "1515559"}, {"ref": "anshulkushwaha/logistic-regression-from-scratch", "kernel_id": "1519514"}, {"ref": "lsilva/xai-titanic-top-4-with-ensemble-modeling", "kernel_id": "1887730"}, {"ref": "liuhaoping/titanic-machine-learning-from-disaster", "kernel_id": "1397637"}, {"ref": "dpipkin/titanic-rn", "kernel_id": "1504614"}, {"ref": "dylanjcastillo/titanic-predictions-using-keras-in-r", "kernel_id": "1191723"}, {"ref": "adilemrebilgic/titanic-data", "kernel_id": "1034410"}, {"ref": "yeewii/firstscratchinpy", "kernel_id": "1024656"}, {"ref": "anurag22/basic-implementation-of-h2o-gradient-boosting", "kernel_id": "1601507"}, {"ref": "aoshili/titanic-framework-d3390d", "kernel_id": "1571562"}, {"ref": "botatu/titanic-machine-learning-from-disaster", "kernel_id": "1178435"}, {"ref": "jeffdaniels/investigate-titanic-dataset", "kernel_id": "1023171"}, {"ref": "rvillalongar/day-1-30-days-of-kaggle-titanic", "kernel_id": "1296610"}, {"ref": "radulfr/titanic-example", "kernel_id": "1937211"}, {"ref": "joaoavf/titanic-machine-learning-brasilia", "kernel_id": "1289565"}, {"ref": "pandafoot/an-interactive-data-science-tutorial", "kernel_id": "1062716"}, {"ref": "slashtea/survival-prediction", "kernel_id": "1274878"}, {"ref": "grayson/titanic-xgboost-and-lightgbm", "kernel_id": "1774489"}, {"ref": "indranilbhattacharya/simple-random-forest-and-you-move-on", "kernel_id": "1052117"}, {"ref": "sajal0jain/h2o-automl-in-r-deep-learning-model", "kernel_id": "1421683"}, {"ref": "shinjonc/boo-hoo", "kernel_id": "1660258"}, {"ref": "tunguz/yateda-yet-another-titanic-eda", "kernel_id": "1222486"}, {"ref": "atharkharal/titanic-in-machine-learning", "kernel_id": "1955133"}, {"ref": "tonypythoneer/titanic-a-beginner-s-simple-implementation", "kernel_id": "1127826"}, {"ref": "tonypythoneer/titanic-try-to-make-complex", "kernel_id": "1127876"}, {"ref": "hugolapointe/titanic-challenge-survivability-prediction", "kernel_id": "1497206"}, {"ref": "praxitelisk/kagglelearn-ml2-4-partial-dependence-plots", "kernel_id": "1057766"}, {"ref": "allunia/titanic-dive-through-feature-cave", "kernel_id": "1305258"}, {"ref": "allunia/titanic-dive-through-myclassifier", "kernel_id": "1247506"}, {"ref": "allunia/titanic-dive-through-prepare-to-start", "kernel_id": "1247519"}, {"ref": "allunia/titanic-dive-through-feature-scaling-and-outliers", "kernel_id": "1384205"}, {"ref": "sh1anky/kernelf0611a6886", "kernel_id": "1069174"}, {"ref": "sh1anky/titanic", "kernel_id": "1104791"}, {"ref": "ksaaskil/grid-search-with-scikit-learn-pipelines", "kernel_id": "1813597"}, {"ref": "m3ngli/first-time-try", "kernel_id": "1736706"}, {"ref": "mrisdal/testing-ignore-me", "kernel_id": "1304859"}, {"ref": "ninja36/survival-tactics", "kernel_id": "1166245"}, {"ref": "drdanz/titanic-decision-trees-vs-logistic-regression", "kernel_id": "1321059"}, {"ref": "seth814/logistic-regression-tour-via-titanic", "kernel_id": "1004753"}, {"ref": "redfeather/titanic-a-beginner-s-primer", "kernel_id": "1035410"}, {"ref": "deyayan9/titanic-survival-accuracy", "kernel_id": "1816383"}, {"ref": "tcvieira/titanic-random-forest", "kernel_id": "1400201"}, {"ref": "tcvieira/titanic-decision-tree", "kernel_id": "1370001"}, {"ref": "trakhov/kerneladd3db8d21", "kernel_id": "1855656"}, {"ref": "prateekyadav/titanic-analysis", "kernel_id": "1442156"}, {"ref": "gdemon/pratice-of-titanic-for-an-assignment", "kernel_id": "1398238"}, {"ref": "kenchan0824/eda-features-engineering-top-8", "kernel_id": "1387829"}, {"ref": "linhliu/titanic-framework", "kernel_id": "1549625"}, {"ref": "stephaniejones/kernel6d642681f0", "kernel_id": "1567090"}, {"ref": "mgmarques/learning-ml-with-titanic", "kernel_id": "1747001"}, {"ref": "astonmartin/titanic-framework-5afa14", "kernel_id": "1639130"}, {"ref": "heyley/titanic-baseline-from-l", "kernel_id": "1979630"}, {"ref": "nmbrgts/titantic-data-eda", "kernel_id": "1066358"}, {"ref": "akk161/akk171-titatnic", "kernel_id": "1185484"}, {"ref": "amuthiyan/titanic-eda-and-model-with-pipeline-execution", "kernel_id": "1219890"}, {"ref": "anshul16/titanic-classifier", "kernel_id": "1047737"}, {"ref": "anshul16/titanic-classifier-with-grid-search", "kernel_id": "1068020"}, {"ref": "gauthamganesan/eda-family-survival-rate-variable", "kernel_id": "1379072"}, {"ref": "phul65/titanic-notebook-0-81339", "kernel_id": "1057097"}, {"ref": "swarnabha/titanic-try-tanic-xgboost-trial", "kernel_id": "1190291"}, {"ref": "graghav7/naive-bayes-91-6", "kernel_id": "1203045"}, {"ref": "graghav7/naive-bayes", "kernel_id": "1128094"}, {"ref": "erikalien/a-method-to-handle-ordered-categorical-features", "kernel_id": "1056834"}, {"ref": "andrewrib/dai-june-2018-workshop-notebook-2", "kernel_id": "1110524"}, {"ref": "muthukrishnan/titanic-dataset-analysis-ensemble-methods", "kernel_id": "1648876"}, {"ref": "muthukrishnan/titanic-data-analysis-using-logistic-regression", "kernel_id": "1676745"}, {"ref": "kyleockerlund/titanic-a-data-starter-kit", "kernel_id": "1255510"}, {"ref": "reisel/creating-a-representative-validation-set", "kernel_id": "1236307"}, {"ref": "reisel/how-to-handle-correlated-features", "kernel_id": "1152397"}, {"ref": "rifatjahanazad/my-titanic-data-set-practice", "kernel_id": "1328006"}, {"ref": "samukaunt/titanic-passo-a-passo-com-8-modelos-ml-pt-br", "kernel_id": "1938021"}, {"ref": "bapireddy/titanic-prediction", "kernel_id": "1659397"}, {"ref": "ishaansaxena/predicting-titanic-survivors", "kernel_id": "1240349"}, {"ref": "jarpit96/simple-neural-network-ensembling-keras-titanic", "kernel_id": "1067378"}, {"ref": "stefano2580/my-first-titanic-data-analysis-ever", "kernel_id": "1186263"}, {"ref": "anjanatiha/classification-and-eda", "kernel_id": "1510326"}, {"ref": "playtimez/titanic-framework", "kernel_id": "1651319"}, {"ref": "jalfano/this-is-joe-s-fantastic-titanic", "kernel_id": "1894514"}, {"ref": "micalun/titanic-excercise-lr-rf-xgb-stack", "kernel_id": "1402818"}, {"ref": "rahulkb88/titanic", "kernel_id": "1871998"}, {"ref": "lukaspman/titanic", "kernel_id": "1200853"}, {"ref": "omijn1/titanic-survivor-prediction", "kernel_id": "1292244"}, {"ref": "rhkdtjqql/titanic-example-sub", "kernel_id": "1649641"}, {"ref": "rhkdtjqql/introduction-to-ensembling-stacking-in-python", "kernel_id": "1812299"}, {"ref": "sweetyparmar1/titanic-machine-learning-from-disaster", "kernel_id": "1059479"}, {"ref": "karthickaravindan/logistic-regression", "kernel_id": "1248235"}, {"ref": "knageswara78/my-tatanic-python-solution", "kernel_id": "1020248"}, {"ref": "rajashri/titanic-rmd-eda", "kernel_id": "1358954"}, {"ref": "viking714/partial-dependence-plots-18de5d", "kernel_id": "1493898"}, {"ref": "viking714/partial-dependence-plots", "kernel_id": "1493522"}, {"ref": "sharma7292/titanic-survival-prediction", "kernel_id": "1780981"}, {"ref": "marklvl/titanic-cleaning-feature-engineering-modeling", "kernel_id": "1067710"}, {"ref": "marklvl/titanic-logistic-regression", "kernel_id": "1051704"}, {"ref": "ywleung/neural-network", "kernel_id": "1795077"}, {"ref": "biohazzzard/titanic-with-tidyverse-and-caret", "kernel_id": "1225124"}, {"ref": "naturebalance/using-real-historical-data-as-varlidation-set", "kernel_id": "1958089"}, {"ref": "eibriel/titanic-test", "kernel_id": "1758749"}, {"ref": "moghazy/simple-mlp-with-feature-engineering-and-eda", "kernel_id": "1256598"}, {"ref": "pmw9440/negative-binominal-regression-for-titanic", "kernel_id": "1435008"}, {"ref": "yusufkhu/eda-base-solution", "kernel_id": "1866204"}, {"ref": "abbasali/kernelf762957fc3", "kernel_id": "1002227"}, {"ref": "danyfang/titanic-survival", "kernel_id": "1788925"}, {"ref": "chakshugarg/survival-prediction-bagging-vs-neural-model", "kernel_id": "1572627"}, {"ref": "ablearcher/my-titanic", "kernel_id": "1697740"}, {"ref": "gtpmurdoc/a-deep-thought-about-feature-engineering", "kernel_id": "1115051"}, {"ref": "ralo44/titanic-machine-learning-from", "kernel_id": "1598434"}, {"ref": "rhadow/titanic", "kernel_id": "1799297"}, {"ref": "triano/titanic-analysis-using-machine-learning-approach", "kernel_id": "1772072"}, {"ref": "kingade/titanic-9th-july-2018", "kernel_id": "1268858"}, {"ref": "rayyan16/titanic-prediction", "kernel_id": "1453866"}, {"ref": "jmargni/titanic-full-pipeline", "kernel_id": "1934841"}, {"ref": "abpndr1/titanic-problem", "kernel_id": "1301045"}, {"ref": "ivangord/titanic", "kernel_id": "1068164"}, {"ref": "jprakashds/eda-titanic", "kernel_id": "1632940"}, {"ref": "angelomenezes/first-classification-and-exploration-kernel", "kernel_id": "1548471"}, {"ref": "faizaan7/titanic-survival-with-feature-engineering", "kernel_id": "1079419"}, {"ref": "davizz/titanic-disaster-using-tensorflow", "kernel_id": "1463213"}, {"ref": "hancelpv/titanic-survival-prediction", "kernel_id": "1001934"}, {"ref": "iaroslavai/ed3s2018-day3-nn-svm", "kernel_id": "1654977"}, {"ref": "dvgvarma/titanic-eda-with-ml", "kernel_id": "1258034"}, {"ref": "pickthorns/booster-py", "kernel_id": "1363491"}, {"ref": "cerebrium/titanic-random-forest-0-8-on-submitted", "kernel_id": "1089792"}, {"ref": "luanho/introduction-to-groupby-features", "kernel_id": "1505642"}, {"ref": "palakmodi/titanic-binary-classifier", "kernel_id": "1151071"}, {"ref": "whitewizard/titanic-eda-and-random-forest", "kernel_id": "1067461"}, {"ref": "rnikolaus/titanic-decision-tree-visualisation", "kernel_id": "1914197"}, {"ref": "bhuvan93/deepl", "kernel_id": "1046293"}, {"ref": "katyfisch/titanic-catboost", "kernel_id": "1323586"}, {"ref": "maddy1/titanic-survival-analysis", "kernel_id": "1622977"}, {"ref": "akosciansky/ab-test-on-titanic", "kernel_id": "1163844"}, {"ref": "currypurin/kaggle-ch3-3-ver2", "kernel_id": "1607013"}, {"ref": "mullayilkannan/randomforest-with-knn-imputation-titanic", "kernel_id": "1590080"}, {"ref": "mullayilkannan/decision-tree-titanic", "kernel_id": "1431684"}, {"ref": "lunature/titanic-test-20180831", "kernel_id": "1552470"}, {"ref": "mvrkkk/first-mltask-voting-classifier-feedback-pls", "kernel_id": "1410815"}, {"ref": "lider123/titanic", "kernel_id": "1401515"}, {"ref": "nathanlauga/mathematics-of-decision-tree", "kernel_id": "1989074"}, {"ref": "saurabh105/a-head-start-approch-to-predict-titanic-survival", "kernel_id": "1211416"}, {"ref": "abhiml17/titanic-survivor-prediction-accuracy-0-775", "kernel_id": "1262882"}, {"ref": "sriyesh/titanic-survival-prediction-for-beginners", "kernel_id": "1542947"}, {"ref": "livingworld/titanic-livingworld", "kernel_id": "1085918"}, {"ref": "shanvith/understanding-kaggle-titanic-dataset", "kernel_id": "1255522"}, {"ref": "bdekknl/titanic-test", "kernel_id": "1271773"}, {"ref": "cqlynn/titanic-problem-with-xgboost", "kernel_id": "1219094"}, {"ref": "pandit95/titanic-data-set-as-a-learning-project", "kernel_id": "1300633"}, {"ref": "jicksy/titanic-data-analysis-beginner-friendly", "kernel_id": "1626294"}, {"ref": "johntheo/titanic-pt-br", "kernel_id": "1244075"}, {"ref": "dingxwsimon/ai-camp-logistic-regression-titanic-homewor-145672", "kernel_id": "1645210"}, {"ref": "dingxwsimon/titanic-framework", "kernel_id": "1535911"}, {"ref": "lamine16/tutoriel-r-gression-logistique", "kernel_id": "1574113"}, {"ref": "danishshaikh/titanic-survival-prediction-using-mlp-from-keras", "kernel_id": "1063725"}, {"ref": "sathi557/prediction-of-survival-rate-in-titanic-new", "kernel_id": "1502647"}, {"ref": "saicomb/titanic-framework-72de1f", "kernel_id": "1592576"}, {"ref": "saicomb/titanic-framework-1b9574", "kernel_id": "1656857"}, {"ref": "rogercomins/titanic", "kernel_id": "1945874"}, {"ref": "jonathanmurmu/titanic-survival", "kernel_id": "1196241"}, {"ref": "szymonborucki/titanic-with-random-forest-classifier", "kernel_id": "1378707"}, {"ref": "brunodeabreu/titanic-challenge-crisp-dm", "kernel_id": "1053636"}, {"ref": "jinibir/titanic-survival-model", "kernel_id": "1213951"}, {"ref": "bienvenu/titanic-survivor-rf-r", "kernel_id": "1669196"}, {"ref": "scottjiang/kernelf942ac5743", "kernel_id": "1482737"}, {"ref": "koheimuramatsu/titanic-predict", "kernel_id": "1094267"}, {"ref": "hianjana/titanic-survivors-top-8-score-0-80861", "kernel_id": "1582025"}, {"ref": "xutao226/prediction-of-titanic-survived", "kernel_id": "1435210"}, {"ref": "judsonparker/fork-of-titanic", "kernel_id": "1001447"}, {"ref": "eminem1147/introduction-to-ensembling-stacking-in-python", "kernel_id": "1429628"}, {"ref": "nidhihedao/titanic-python-with-visualization", "kernel_id": "1322026"}, {"ref": "isha0503/titanic", "kernel_id": "1069503"}, {"ref": "hfujita/titanic-survival-prediction-using-family-status", "kernel_id": "1306079"}, {"ref": "mitbeck/titanic-1-mitch", "kernel_id": "1045151"}, {"ref": "yvettecheb/titanic-framework-be8f04", "kernel_id": "1549414"}, {"ref": "brunoscheibler/titanic-survival-using-random-forest", "kernel_id": "1085119"}, {"ref": "tstomoki/titanic-with-basic-and-ensembles-methods", "kernel_id": "1897265"}, {"ref": "damondouglas/yc-dd-titanic", "kernel_id": "1931189"}, {"ref": "sethlee/xgboost-test-for-titanic", "kernel_id": "1845296"}, {"ref": "rajeevsingh/kernel927f469063", "kernel_id": "1773265"}, {"ref": "abhigarhia/learning-curve-for-titanic-survival-problem", "kernel_id": "1523042"}, {"ref": "nilchat85/eda-titanic-data-xgb", "kernel_id": "1548683"}, {"ref": "mathfour/titanic-survivors-prediction-with-one-feature", "kernel_id": "1911072"}, {"ref": "fredericyiding/titanic-framework-07a4dd", "kernel_id": "1630027"}, {"ref": "vgosain91/kernel4c0df12269", "kernel_id": "1010999"}, {"ref": "jackzh/comp-titanic", "kernel_id": "1576149"}, {"ref": "thachhoang2410/titanic-first", "kernel_id": "1819258"}, {"ref": "olivia1112/titanic-logistic-regression-demo", "kernel_id": "1505699"}, {"ref": "faizansaeed/decision-tree-and-ensemble-on-titanic", "kernel_id": "1374164"}, {"ref": "randylaosat/pandas-reference-guide-teach-me-how-to-pandas", "kernel_id": "1293077"}, {"ref": "ecardin/week-2-titanic-survival", "kernel_id": "1958933"}, {"ref": "bpm1993/titanic-challenge", "kernel_id": "1187518"}, {"ref": "kagglejwang/this-is-the-draft", "kernel_id": "1534538"}, {"ref": "amrstech/ml-model-for-titanic", "kernel_id": "1088597"}, {"ref": "wisuta/titanic-competition", "kernel_id": "1483564"}, {"ref": "mahmoudfarouk/mlassignment", "kernel_id": "1333474"}, {"ref": "glad78/kernel8670889063", "kernel_id": "1925228"}, {"ref": "aniirudh/titanic-survival-prediction-top-20", "kernel_id": "1063584"}, {"ref": "vitorhorta/simple-model-for-testing", "kernel_id": "1165977"}, {"ref": "utkarsh1997/kaggle-titanic-rf", "kernel_id": "1431430"}, {"ref": "eternityspell/my-solution-for-titanic-competition", "kernel_id": "1411888"}, {"ref": "sundar2107/avocado-wiz-beginner", "kernel_id": "1643705"}, {"ref": "ashukr/introduction-to-ensembling-stacking-in-pyth-6c1d93", "kernel_id": "1061455"}, {"ref": "ashukr/introduction-to-ensembling-stacking-in-pyth-3fbf07", "kernel_id": "1060250"}, {"ref": "autuanliuyc/ensemble-models-for-titanic", "kernel_id": "1987365"}, {"ref": "youhanlee/my-titanic-tutorial", "kernel_id": "1077826"}, {"ref": "codacus/titanic-surviver-prediction", "kernel_id": "1090373"}, {"ref": "adesh28/adesh-s-first-kaggle-submissions", "kernel_id": "1177033"}, {"ref": "aniketg11/machine-learning-tutorial-by-a-beginner", "kernel_id": "1863078"}, {"ref": "chenxihou/get-start", "kernel_id": "1363502"}, {"ref": "rtatman/mixed-models-logistic-regression", "kernel_id": "1737309"}, {"ref": "semabali/titanic", "kernel_id": "1228283"}, {"ref": "weitbelou/scikit-basic", "kernel_id": "1854622"}, {"ref": "taynan/taynan-titanic", "kernel_id": "1062104"}, {"ref": "iamatik/process-involved-in-data-science-using-titani", "kernel_id": "1096139"}, {"ref": "upperthrower4/random-forest-titanic", "kernel_id": "1479300"}, {"ref": "jackiy/machine-learning-from-disaster-random-forest", "kernel_id": "1089876"}, {"ref": "adishah3103/titanic-disaster-prediction", "kernel_id": "1487348"}, {"ref": "garymendonca/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "1087918"}, {"ref": "dimitreoliveira/titanic-machine-learning-insights-from-disaster", "kernel_id": "1708351"}, {"ref": "dimitreoliveira/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "1797905"}, {"ref": "anubhavjainz/titanicbase", "kernel_id": "1307792"}, {"ref": "satishpro/titanic-survival-prediction", "kernel_id": "1353449"}, {"ref": "dczerniawko/titanic-top-18-0-79425", "kernel_id": "1054552"}, {"ref": "mpanaggio/titanic-data-set-exploration", "kernel_id": "1226991"}, {"ref": "williamschwalbe/ix-titanic-hw", "kernel_id": "1145183"}, {"ref": "donkeys/roc-the-boat-investigating-roc-auc", "kernel_id": "1691577"}, {"ref": "fritschcm27/uw-health", "kernel_id": "1505339"}, {"ref": "alainivars/kernelf9c8381171", "kernel_id": "1614871"}, {"ref": "vaibhav29498/logistic-regression", "kernel_id": "1037200"}, {"ref": "vaibhav29498/neural-network", "kernel_id": "1088891"}, {"ref": "venkatkrishnan/binary-classification-titanic-dataset", "kernel_id": "1662665"}, {"ref": "afarane/ds-titanic-af", "kernel_id": "1823782"}, {"ref": "bulentsiyah/keras-deep-learning-to-solve-titanic", "kernel_id": "1697814"}, {"ref": "richardpberry/titanic-exploratory-data-analysis", "kernel_id": "1367302"}, {"ref": "rohitsharma34/titanic-predictions", "kernel_id": "1152710"}, {"ref": "singhgaurav10/seaborn-tutorial-basic", "kernel_id": "1813024"}, {"ref": "yumengsarahzou/titanic-052518", "kernel_id": "1026692"}, {"ref": "ciotolaaaa/titanic-prima-soluzione-decisiontree", "kernel_id": "1787415"}, {"ref": "hulloswin/titanic-work", "kernel_id": "1148606"}, {"ref": "hulloswin/titanic-random-forest-first-submission", "kernel_id": "1148220"}, {"ref": "alanchn31/beginner-s-kernel-cv-voting-ensemble-top-20", "kernel_id": "1303667"}, {"ref": "prathikasundar/titanic-survivor-solution-a-simple-approach", "kernel_id": "1802997"}, {"ref": "amin602/data-visualization-and-scoring-79-in-kaggle", "kernel_id": "1093568"}, {"ref": "amin602/titanic-solution-using-data-analysis", "kernel_id": "1091012"}, {"ref": "crayharris/met-cs-767-term-project-chris-harris", "kernel_id": "1814954"}, {"ref": "crayharris/keras-deep-learning-on-titanic-data", "kernel_id": "1774627"}, {"ref": "crayharris/rnn-met-cs-767-term-project-chris-harris", "kernel_id": "1865299"}, {"ref": "liopic/simple-prediction-with-just-age-and-sex-features", "kernel_id": "1057020"}, {"ref": "jerrinv/titanic", "kernel_id": "1896282"}, {"ref": "peopletrees/stan-on-the-titanic", "kernel_id": "1026332"}, {"ref": "sidjhanji/learn-solving-kaggle-problems-with-titanic", "kernel_id": "1727523"}, {"ref": "farizabdussalam/first-ml-practice-titanic", "kernel_id": "1405932"}, {"ref": "murtuzashahzad/titanic-kernel", "kernel_id": "1356993"}, {"ref": "tomardheerendra/predicting-titanic-survivors", "kernel_id": "1625726"}, {"ref": "samir11/a-journey-through-titanic", "kernel_id": "1213239"}, {"ref": "elangokpm/titanic-machine-learning-from-disaster", "kernel_id": "1078836"}, {"ref": "bentice/navigating-features-of-titanic-dataset", "kernel_id": "1217574"}, {"ref": "indra90/survival-of-the-forest-predicting-survivors", "kernel_id": "1059090"}, {"ref": "harryyy/eda-and-survival-prediction-using-logistic", "kernel_id": "1581160"}, {"ref": "yoichi1208/titanic-first", "kernel_id": "1490162"}, {"ref": "powerofzero/partial-dependence-plots", "kernel_id": "1309132"}, {"ref": "vinothan/eda-for-titanic-data-chanllege", "kernel_id": "1058724"}, {"ref": "vinothan/titanic-model-with-90-accuracy", "kernel_id": "1330013"}, {"ref": "hravat/titanic-prediction-using-tensorflow-estimator", "kernel_id": "1536294"}, {"ref": "rohandx1996/titanic-disaster-full-depth-analysis-top-41", "kernel_id": "1247425"}, {"ref": "vinzzhang/titanic-survival-prediction", "kernel_id": "1075051"}, {"ref": "kiranscaria/titanic-pytorch", "kernel_id": "1085563"}, {"ref": "lmwaileong/clean-simple-e2e-framework", "kernel_id": "1261786"}, {"ref": "smunipalli/s-muni-titanic-survival-random-forest", "kernel_id": "1070279"}, {"ref": "rounak15/titanic-survival-prediction-with-python", "kernel_id": "1021680"}, {"ref": "rounak15/fork-of-titanic-survival-prediction-with-python", "kernel_id": "1053323"}, {"ref": "wakamezake/catboost-sample", "kernel_id": "1881239"}, {"ref": "diablo01/titanic-randomforestclassifier-beginner", "kernel_id": "1885365"}, {"ref": "akshaykapoor347/simple-titanic-prediction", "kernel_id": "1730089"}, {"ref": "sanikamal/predict-titanic-survivors", "kernel_id": "1406087"}, {"ref": "ariesduanmu/titanic-work", "kernel_id": "1032993"}, {"ref": "ariesduanmu/titanic-data-visualisation", "kernel_id": "1021639"}, {"ref": "djpresidentpup/titanic-decision-classifier-submission", "kernel_id": "1145139"}, {"ref": "atwine/titanic-first-trial", "kernel_id": "1508353"}, {"ref": "fhangen/feature-eng-and-ensemble-models-top-10", "kernel_id": "1150045"}, {"ref": "karthikraghuveer/titanic-survival-prediction-using-logit", "kernel_id": "1646295"}, {"ref": "sanjuktamitra1208/titanic-data-preparation-and-model-building-in-r", "kernel_id": "1248533"}, {"ref": "wasim37/a-statistical-analysis-of-titanic-with-ml-models", "kernel_id": "1085923"}, {"ref": "sharafutdinov/titanic", "kernel_id": "1858198"}, {"ref": "ragnisah/eda-titanic-ml-survived", "kernel_id": "1308062"}, {"ref": "ragnisah/titanic", "kernel_id": "1918349"}, {"ref": "basemfouda/12-5-2019", "kernel_id": "1278687"}, {"ref": "beannguyen94/my-deep-learning-practice-titanic", "kernel_id": "1431873"}, {"ref": "shanto12/titanic-simple-solution", "kernel_id": "1340956"}, {"ref": "staceaileen/titanic-decision-tree", "kernel_id": "1145361"}, {"ref": "wesphily/79-need-your-help", "kernel_id": "1027877"}, {"ref": "ephemerai/titanic-a-beginner-s-playground-ongoing", "kernel_id": "1602712"}, {"ref": "gaurav3010/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "1366004"}, {"ref": "nphantawee/learning-classification-problem-with-titanic", "kernel_id": "1604342"}, {"ref": "priyanksharma/kernele38d5c1513", "kernel_id": "1391419"}, {"ref": "harunshimanto/learning-basic-ml-by-titanic-survival-prediction", "kernel_id": "1769363"}, {"ref": "abdelmalek1/kernele9ec2f6509", "kernel_id": "1646791"}, {"ref": "sudopower/r-kernel", "kernel_id": "1829742"}, {"ref": "arifromadhan19/titanic-machine-learning-from-disaster", "kernel_id": "1521734"}, {"ref": "vasiliykirstia/titanic-eda", "kernel_id": "1890900"}, {"ref": "michaelmorr/titanic-survival-with-random-forest-classification", "kernel_id": "1364594"}, {"ref": "michaelmorr/titanic-survival-classification-voting", "kernel_id": "1397169"}, {"ref": "hiromu1202/titanic-svm", "kernel_id": "1273871"}, {"ref": "handol/titanic-survivor-dnn-classifer", "kernel_id": "1411116"}, {"ref": "abhishekmamidi/titanic-data-preprocessing-and-visualization", "kernel_id": "1704702"}, {"ref": "mishra191/titanic-sunk-with-debunk", "kernel_id": "1219433"}, {"ref": "kevinyi/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "1757685"}, {"ref": "etafer/titanic-bp", "kernel_id": "1549997"}, {"ref": "gravitymhxy2/titanic", "kernel_id": "1493237"}, {"ref": "krgaurav45/titanic-prediction", "kernel_id": "1879297"}, {"ref": "drpjeyaraj/logisitic-regression-and-regression-trees", "kernel_id": "1237057"}, {"ref": "harshit98/titanic-dataset-on-keras-81-37-accuracy", "kernel_id": "1237243"}, {"ref": "geoffreygeo/first-kernal-pytanic-using-various-algorithms", "kernel_id": "1030886"}, {"ref": "henrylidgley/xgboost-with-hyperopt-tuning", "kernel_id": "1132279"}, {"ref": "tarunpaparaju/titanic-survival-prediction", "kernel_id": "1632646"}, {"ref": "tarunpaparaju/titanic-survival-prediction-deep-nn", "kernel_id": "1898014"}, {"ref": "itsukara/titanic-simple-trial-based-on-handson-ml-v1-1", "kernel_id": "1558845"}, {"ref": "aalchemist/genetic-algorithm-by-ptop", "kernel_id": "1424259"}, {"ref": "p3rf3ct0/titanic", "kernel_id": "1483373"}, {"ref": "tomigelo/titanic-with-family-survival-tpot-0-81818", "kernel_id": "1104084"}, {"ref": "ramkumarr02/titanic-dataset-random-forest-via-caret", "kernel_id": "1070920"}, {"ref": "cwkulp/first-attempt-at-random-forest-on-titanic-data", "kernel_id": "1350085"}, {"ref": "vishwas09/titanic-data-with-fastai-0-7", "kernel_id": "1838480"}, {"ref": "syncush/out-of-the-box-different-models-accuracy", "kernel_id": "1503290"}, {"ref": "zahoorahmad/feature-engineering", "kernel_id": "1604959"}, {"ref": "guardaaberta/titanic", "kernel_id": "1638680"}, {"ref": "mohamedtimor/titanic-dataset", "kernel_id": "1843046"}, {"ref": "cooleel/a-quick-try-of-h2o-automl-on-titanic-dataset", "kernel_id": "1609671"}, {"ref": "jiuzhang/ai-camp-logistic-regression-titanic-homework", "kernel_id": "1040109"}, {"ref": "jiuzhang/ai-camp-logistic-regression-titanic", "kernel_id": "1040110"}, {"ref": "aroramohit/introduction-to-ensembling-stacking-in-python", "kernel_id": "1245570"}, {"ref": "yekang/20181017", "kernel_id": "1889061"}, {"ref": "jmelgar/cross-validation-for-survival", "kernel_id": "1372802"}, {"ref": "mlarionov/debiasing-imputation", "kernel_id": "1917379"}, {"ref": "benbrooks/titanic", "kernel_id": "1087944"}, {"ref": "gsarti/titanic-a-standard-data-analysis-workflow", "kernel_id": "1981782"}, {"ref": "rohitayinaparthy/titanic-disaster-survival-prediction", "kernel_id": "1420932"}, {"ref": "bashkeel/step-by-step-workthrough-of-the-titanic-dataset", "kernel_id": "1079446"}, {"ref": "pgajdaczova/titanic-survival-prediction", "kernel_id": "1432996"}, {"ref": "aakane/titanic-survivor-prediction", "kernel_id": "1566078"}, {"ref": "fallsit/predict-the-survived-rate-on-titanic", "kernel_id": "1063730"}, {"ref": "kcs93023/my-first-kernel-titanic", "kernel_id": "1619354"}, {"ref": "kanybek/crash-introduction-to-ml-with-titanic", "kernel_id": "1978642"}, {"ref": "suniliitb96/titanic-survival-prediction-using-xgboost", "kernel_id": "1574471"}, {"ref": "ashwiniprakash/titanic-survival-prediction", "kernel_id": "1268290"}, {"ref": "altunerberk/beginner-titanic", "kernel_id": "1060729"}, {"ref": "sprakash08/titanic-data-analysis", "kernel_id": "1758869"}, {"ref": "bahafin/titanic-lgbm-parameter-tuning", "kernel_id": "1007734"}, {"ref": "bahafin/automl-approach-for-titanic", "kernel_id": "1007472"}, {"ref": "gcolbert/the-survival-guide-translated-in-python", "kernel_id": "1179579"}, {"ref": "himanshushukla71/prediction-of-survival-on-titanic", "kernel_id": "1266898"}, {"ref": "boyoungkwon/kernelb6a6f54c6f", "kernel_id": "1566810"}, {"ref": "nevsingh/titanic", "kernel_id": "1279106"}, {"ref": "divscool/titanic", "kernel_id": "1632515"}, {"ref": "varian97/titanic-survival-analysis", "kernel_id": "1388734"}, {"ref": "mustafanafees/testing-different-models-with-titanic-dataa", "kernel_id": "1885539"}, {"ref": "shonafeng41/titanic-pipeline-data-transformation", "kernel_id": "1006339"}, {"ref": "ryomaggle/example-titanic", "kernel_id": "1460076"}, {"ref": "dr1t10/surviving-the-titanic-step-by-step-with-groups", "kernel_id": "1410953"}, {"ref": "dr1t10/titanicnet-with-pytorch", "kernel_id": "1541610"}, {"ref": "tylerkirby/analysis-of-titanic-data", "kernel_id": "1284254"}, {"ref": "ellecf/visualizing-titanic-data", "kernel_id": "1344456"}, {"ref": "ellecf/first-pass-titanic", "kernel_id": "1181105"}, {"ref": "ellecf/fork-of-first-pass-titanic", "kernel_id": "1484869"}, {"ref": "edmundzhang/emsemble-method-voting-lr-gb-rf-svc", "kernel_id": "1063399"}, {"ref": "tushar786/titanic-how-i-scored-above-80-vis-feature-engg", "kernel_id": "1041334"}, {"ref": "thanhtunggggg/titanic-survival-solution-by-automl", "kernel_id": "1188124"}, {"ref": "junaid388/titanic-machine-learning-insights-from-disaster", "kernel_id": "1732557"}, {"ref": "xezxey/my-heart-will-go-on-titanic-disaster-gridsearchcv", "kernel_id": "1075652"}, {"ref": "beatricecai/eda-and-prediciton", "kernel_id": "1617529"}, {"ref": "sakinapetiwala/an-interactive-data-science-tutorial", "kernel_id": "1299746"}, {"ref": "farhankarim1/decision-tree-on-titanic-dataset", "kernel_id": "1216018"}, {"ref": "iwanttobelieve/titanic-who-survived-randomforest-and-svm", "kernel_id": "1637620"}, {"ref": "maggi21/data-analysis-and-feature-extraction-with-python", "kernel_id": "1093021"}, {"ref": "aktaruzzaman/titanic-aman", "kernel_id": "1952458"}, {"ref": "tatusko/titanic-survival-prediction", "kernel_id": "1969923"}, {"ref": "stieranka/basic-eda-with-titanic-dataset", "kernel_id": "1636467"}, {"ref": "abdoubendaoud95/titanic-predictions", "kernel_id": "1635641"}, {"ref": "adachowicz/titanic-visualization-interactive-widgets", "kernel_id": "1411697"}, {"ref": "hariselvarajan/titanic-datascience-myfirst-using-one-hot-encoding", "kernel_id": "1048193"}, {"ref": "manaminer/titanic-competetion", "kernel_id": "1570473"}, {"ref": "melodyxyz/imdbtest", "kernel_id": "1184346"}, {"ref": "royassis/a-data-science-framework-to-achieve-99-ac-543391", "kernel_id": "1238183"}, {"ref": "apurvayan/titanic-exploration", "kernel_id": "1316433"}, {"ref": "kairosart/machine-learning-level-2-partial-dependence-plots", "kernel_id": "1088384"}, {"ref": "romainguion/titanic-thinking-process", "kernel_id": "1014426"}, {"ref": "meghanabhange/titanic-the-model-which-won-t-sink", "kernel_id": "1135088"}, {"ref": "ankisaha/titanic", "kernel_id": "1208209"}, {"ref": "manoharsri/kerneleab90d4b82", "kernel_id": "1032592"}, {"ref": "gzanatta/how-i-reached-top-6-on-titanic-competition", "kernel_id": "1364893"}, {"ref": "jnrahul92/titanic-analysis-using-logistic-regression", "kernel_id": "1128193"}, {"ref": "thanatoz/your-1st-binary-classifier-using-titanic-dataset", "kernel_id": "1270517"}, {"ref": "omarayman/the-home-for-future-data-scientists", "kernel_id": "1600908"}, {"ref": "jolzer/titanic-machine-learning", "kernel_id": "1476478"}, {"ref": "serkanpeldek/object-oriented-titanics", "kernel_id": "1373360"}, {"ref": "itsskg/titanic-problem-for-begineers", "kernel_id": "1744678"}, {"ref": "sjtreadway/titanic-prediction", "kernel_id": "1391699"}, {"ref": "xsolute01/just-a-newbie-s-titanic-kernel", "kernel_id": "1857160"}, {"ref": "nemanjab17/titanic", "kernel_id": "1643378"}, {"ref": "wontonimo/titanic-gender-and-cabin-location", "kernel_id": "1167683"}, {"ref": "mrblond89/titanic-eda-data-cleaning-and-initial-modelling", "kernel_id": "1902897"}, {"ref": "nitikakamboj/titanic-solution-using-name-only", "kernel_id": "1272060"}, {"ref": "ronaldpaul666/beginner-for-machine-learning-r", "kernel_id": "1215291"}, {"ref": "ronaldpaul666/kernelf52ba28195", "kernel_id": "1195476"}, {"ref": "gabimelo/titanic-analysis", "kernel_id": "1211696"}, {"ref": "whtsead/kernele5ab8301d5", "kernel_id": "1166069"}, {"ref": "atuljhasg/titanic-top-3-models", "kernel_id": "1016846"}, {"ref": "akspan12/titanic-problem-final", "kernel_id": "1180729"}, {"ref": "dillonkoch18/random-forest-titanic-2-kaggle-learn-ml", "kernel_id": "1262353"}, {"ref": "dillonkoch18/random-forest-titanic-kaggle-learn-ml", "kernel_id": "1261554"}, {"ref": "dillonkoch18/bagging-classifier-titanic-submission", "kernel_id": "1334299"}, {"ref": "adityajn105/titanic-visualization-feature-eng-lgbm-acc-0-80382", "kernel_id": "1356432"}, {"ref": "germey/titanic-survivors-prediction", "kernel_id": "1459007"}, {"ref": "xj703b/kernel5641da92c4", "kernel_id": "1413326"}, {"ref": "neshmwaniki/machine-learning-for-disaster-control", "kernel_id": "1311996"}, {"ref": "neshmwaniki/disaster-control", "kernel_id": "1102661"}, {"ref": "anubhavnatnani99/titanic-classification", "kernel_id": "1442426"}, {"ref": "syedmujahedalih/titanic-beginner-s-guide-with-sklearn", "kernel_id": "1462927"}, {"ref": "amol120586/end-to-end-project-with-python-477ac0", "kernel_id": "1454475"}, {"ref": "yrathod426/titanic", "kernel_id": "1529364"}, {"ref": "ronchi/project-titanic", "kernel_id": "1631547"}, {"ref": "chirag19/titanic-survival-prediction-beginner", "kernel_id": "1808700"}, {"ref": "dwscrub/getstacked", "kernel_id": "1080428"}, {"ref": "kdj842969/1-10-logistic-regression-titanic", "kernel_id": "1076308"}, {"ref": "dilip990/titanic-problem", "kernel_id": "1309450"}, {"ref": "dilip990/visualization-of-titanic-dataset-using-seaborn", "kernel_id": "1595591"}, {"ref": "isaacroberts/titanic", "kernel_id": "1881529"}, {"ref": "pratt7/titanic-survival-prediction", "kernel_id": "1244032"}, {"ref": "ylt0609/3-strategies-analyzing-age-and-their-impact", "kernel_id": "1028262"}, {"ref": "ylt0609/recursive-forward-elimination-workflow-to-0-82296", "kernel_id": "1077466"}, {"ref": "allanalberts/titanic-top-4-using-networkx-feature-engineering", "kernel_id": "1630407"}, {"ref": "amitsharma4/survival-on-titanic-using-random-forest-classifier", "kernel_id": "1226032"}, {"ref": "toraaglobal/titanic-random-forest", "kernel_id": "1796442"}, {"ref": "elaaboum/titanic-notebook", "kernel_id": "1957862"}, {"ref": "shubhamlink/titanic-problem-featureeng-data-cleaning-knn", "kernel_id": "1063547"}, {"ref": "mdhrumil/headstart-data-science-titanic-classification", "kernel_id": "1533621"}, {"ref": "harshitmah98/titanicprediction", "kernel_id": "1030834"}, {"ref": "sanjeevgaut/titanic-survival-prediction-explained", "kernel_id": "1501856"}, {"ref": "jakishi/titanic-using-categorical-age-instead-of-age", "kernel_id": "1325748"}, {"ref": "jakishi/titanic-decision-tree-entropy-depth-3-split-2", "kernel_id": "1325697"}, {"ref": "jakishi/titanic-pclass-sex-age-fare-sibsp-parch-embarked", "kernel_id": "1296879"}, {"ref": "jakishi/kernel-pclass-sex-age-fare", "kernel_id": "1158005"}, {"ref": "jakishi/mlb-k", "kernel_id": "1470272"}, {"ref": "jakishi/is-ml-lab-in-aug-2018-titanic-honma-san-s-work", "kernel_id": "1560957"}, {"ref": "jakishi/is-ml-lab-in-aug-2018-titanic-data-20180821", "kernel_id": "1560766"}, {"ref": "ankitjaadoo/partial-dependence-plots", "kernel_id": "1442042"}, {"ref": "alhassanabdelglil/titanic-predicted", "kernel_id": "1468707"}, {"ref": "alhassanabdelglil/task-1", "kernel_id": "1825836"}, {"ref": "abkuril/titanic-dataset", "kernel_id": "1175199"}, {"ref": "pavansanagapati/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "1908308"}, {"ref": "pavansanagapati/tensorboard-visualisation-of-fashion-mnist", "kernel_id": "1091317"}, {"ref": "pavansanagapati/ensemble-learning-techniques-tutorial", "kernel_id": "1359542"}, {"ref": "spomatthews/machine-learning-from-disaster", "kernel_id": "1731922"}, {"ref": "dcampeao/how-to-use-generative-models-for-classification", "kernel_id": "1003820"}, {"ref": "snazzybloke/titanic-01", "kernel_id": "1384475"}, {"ref": "danielmartinezb/titanic-prediction-using-ensemble-learning", "kernel_id": "1266101"}, {"ref": "shivamb/bot-generated-baseline-kernel-id-26988", "kernel_id": "1539978"}, {"ref": "clare3/titanic-revisited-2", "kernel_id": "1057063"}, {"ref": "souravmangla/titanic-script", "kernel_id": "1019686"}, {"ref": "jonathanlamar/titanic-with-scikit-learn", "kernel_id": "1398150"}, {"ref": "lauragr/first-experience-titanic", "kernel_id": "1624636"}, {"ref": "jlemains/titanic-competition", "kernel_id": "1125795"}, {"ref": "manish2104/predictive-model-90-accuracy-titanic", "kernel_id": "1205855"}, {"ref": "syhwanlin/alvin-titanic-assignment2", "kernel_id": "1397799"}, {"ref": "amolgijare/titanic-notebook", "kernel_id": "1727820"}, {"ref": "dpimentel/class", "kernel_id": "1921603"}, {"ref": "souvikb07/titanic-machine-learning-from-disaster", "kernel_id": "1265064"}, {"ref": "jetnew/titanic-my-first-kaggle-dataset", "kernel_id": "1129041"}, {"ref": "mikelkn/titanic-using-voting-ensembling-17th-percentile", "kernel_id": "1673188"}, {"ref": "mikelkn/titanics-with-neural-nets", "kernel_id": "1673940"}, {"ref": "kadamsushant/titanic-survival-predictions-data-visualization", "kernel_id": "1292425"}, {"ref": "roba020/kernelbb43c61093", "kernel_id": "1240659"}, {"ref": "richard0326/logistic-classification-test", "kernel_id": "1014617"}, {"ref": "kangresv96/survival-prediction", "kernel_id": "1155855"}, {"ref": "ryou01/kernel-tita", "kernel_id": "1580348"}, {"ref": "hosomi/titanicnoyatu", "kernel_id": "1977428"}, {"ref": "anushamodwal/titanic-kernel-solution", "kernel_id": "1308463"}, {"ref": "lieblos/maybe-embedding", "kernel_id": "1040544"}, {"ref": "ruthwikmasina/keras-to-rescue-passengers", "kernel_id": "1374365"}, {"ref": "vraval48/svm-bagging-with-age-prediction", "kernel_id": "1156482"}, {"ref": "deepakmagima/titanic-data-prediction", "kernel_id": "1230202"}, {"ref": "taikikono/mykernel", "kernel_id": "1911382"}, {"ref": "rickychwong/titanic-nb", "kernel_id": "1737006"}, {"ref": "marcogdepinto/feature-engineering-eda-data-cleaning-tutorial", "kernel_id": "1186449"}, {"ref": "thawatchai2018/a-data-science-framework-titanic-practice", "kernel_id": "1977429"}, {"ref": "thawatchai2018/the-data-scientist-s-toolbox-practice", "kernel_id": "1976817"}, {"ref": "yamanity/titanic-with-svc-03", "kernel_id": "1357233"}, {"ref": "shreedevi/titanic-r-tutorial", "kernel_id": "1811328"}, {"ref": "syamkakarla/titanic-survivors", "kernel_id": "1735091"}, {"ref": "klauslyu/titanic-binaryclassification", "kernel_id": "1535466"}, {"ref": "thenerdygeek/titanic", "kernel_id": "1215450"}, {"ref": "piyushjhamb/predicting-titanic-survival", "kernel_id": "1240243"}, {"ref": "manishkathait/titanic-eda-with-logistic-regression", "kernel_id": "1161981"}, {"ref": "rafibarash/beginner-attempt-at-titanic-competition", "kernel_id": "1088503"}, {"ref": "avinashanand/deep-learning-ann-titanic-dataset", "kernel_id": "1284167"}, {"ref": "andreinus/titanicsurvival", "kernel_id": "1019278"}, {"ref": "wyller/tcc-predict-2-0", "kernel_id": "1386351"}, {"ref": "wyller/tcc-predict-3-0", "kernel_id": "1386636"}, {"ref": "rohitgr/titanic-acc-80", "kernel_id": "1141993"}, {"ref": "sishihara/hypothesis-and-visualization-for-titanic-in-kaggle", "kernel_id": "1947995"}, {"ref": "sishihara/include-submit-titanic-best-working-classifier", "kernel_id": "1098202"}, {"ref": "royalbhati/titanic-prediction-beginner-accuracy-82", "kernel_id": "1019320"}, {"ref": "kshitij1993/ml-classifier-for-titanic", "kernel_id": "1269784"}, {"ref": "ambati1995/titanic", "kernel_id": "1166946"}, {"ref": "michalgdak/gp-in-deap-with-cv-and-early-stopping", "kernel_id": "1324576"}, {"ref": "ammar111/predicting-titanic-survivors-python", "kernel_id": "1872888"}, {"ref": "raviprakash438/titanic-survival-prediction", "kernel_id": "1018930"}, {"ref": "luminous271/starting-with-the-titanic-dataset", "kernel_id": "1006488"}, {"ref": "thenewbie09/titaniccode", "kernel_id": "1267902"}, {"ref": "pragyanbo/ensemble-learning-methods-using-titanic-dataset", "kernel_id": "1259505"}, {"ref": "senpuja13/titanic-survival-prediction-the-easy-way", "kernel_id": "1343108"}, {"ref": "asuryavanshi11/titanic-data-science-solution", "kernel_id": "1036594"}, {"ref": "frlhell/titanic-machine-learning-with-ensembles", "kernel_id": "1514450"}, {"ref": "frlhell/titanic-fastai-embeddings", "kernel_id": "1900553"}, {"ref": "dharmeshdev/machine-learning-approach-with-python", "kernel_id": "1544460"}, {"ref": "mlisovyi/vowpal-wabbit-decides-who-lives-and-who-dies", "kernel_id": "1261014"}, {"ref": "khvorostianyi/ml-from-scratch", "kernel_id": "1809944"}, {"ref": "somil112/titanic-disaster-prediction", "kernel_id": "1669703"}, {"ref": "tusharbajaj91/titanic-prediction-using-caret", "kernel_id": "1636277"}, {"ref": "arundhondi/titanic-solution", "kernel_id": "1007196"}, {"ref": "lbarbosa/titanic-with-random-forest-logit-and-boosting", "kernel_id": "1395650"}, {"ref": "wregister/boosting-titanic-ml-attempt", "kernel_id": "1945720"}, {"ref": "mahendrabishnoi2/titanic-sklearn", "kernel_id": "1053435"}, {"ref": "mahendrabishnoi2/titanic-last", "kernel_id": "1094703"}, {"ref": "hemingwei/titanic-r-solution-from-megan-risdal", "kernel_id": "1380305"}, {"ref": "mayvid/titanic", "kernel_id": "1367829"}, {"ref": "owenxunzhu/introduction-to-ensembling-stacking-in-python", "kernel_id": "1293490"}, {"ref": "owenxunzhu/exploring-survival-on-the-titanic", "kernel_id": "1298331"}, {"ref": "owenxunzhu/titanic-data-science-solutions", "kernel_id": "1298335"}, {"ref": "thealexmeza/simple-nn-with-keras", "kernel_id": "1404205"}, {"ref": "vincenzh/titanic-framework-7be158", "kernel_id": "1559215"}, {"ref": "serenetu/titanic-framework", "kernel_id": "1542439"}, {"ref": "serenetu/ai-camp-logistic-regression-titanic", "kernel_id": "1650393"}, {"ref": "lengjd/titanic-framework", "kernel_id": "1529326"}, {"ref": "lengjd/ai-camp-logistic-regression-titanic-homewor-803c7b", "kernel_id": "1632613"}, {"ref": "lengjd/ai-camp-logistic-regression-titanic-homewor-d660b7", "kernel_id": "1632633"}, {"ref": "kahlilw/novice-random-forest-with-88-accuracy", "kernel_id": "1983076"}, {"ref": "sharmila94/titanic-eda-for-beginner", "kernel_id": "1418443"}, {"ref": "sharmila94/titanic-dataframe-randomforest-starter-in-ml", "kernel_id": "1418497"}, {"ref": "sharmila94/titanic-svc-rf-dt-using-cross-validation", "kernel_id": "1441739"}, {"ref": "adedaran/template-eda-titanic-example", "kernel_id": "1763906"}, {"ref": "kritwishm/titanic-solution", "kernel_id": "1041841"}, {"ref": "sean1000444/titanic-competition-solutions", "kernel_id": "1657394"}, {"ref": "dguo456/titanic-logistic-regression", "kernel_id": "1403335"}, {"ref": "dguo456/titanic-knn", "kernel_id": "1394677"}, {"ref": "bdmj12/titanic-classification-models-and-prediction", "kernel_id": "1514094"}, {"ref": "shridhar111/kernel3902495eea", "kernel_id": "1141066"}, {"ref": "cyrus3712/titanic-1st-kernel-by-a-ml-newbie", "kernel_id": "1943837"}, {"ref": "chocozzz/example-file-xgboost", "kernel_id": "1466762"}, {"ref": "chocozzz/xgboost-tutorial", "kernel_id": "1560089"}, {"ref": "varshaatmakuri/titanic-survival", "kernel_id": "1920666"}, {"ref": "mahmudkouli/predicting-survival-on-titanic", "kernel_id": "1085588"}, {"ref": "dhavaltaunk/random-forest-survived", "kernel_id": "1787152"}, {"ref": "nebilekodaz/fork-of-my-first-kernel-on-kaggle", "kernel_id": "1033076"}, {"ref": "harshitkhandelwal/introductory-kernel-to-kaggle", "kernel_id": "1868906"}, {"ref": "deltaforce126/titanic-randomforest", "kernel_id": "1196705"}, {"ref": "ferneutron/xgboost-for-titanic-disaster", "kernel_id": "1652422"}, {"ref": "oktayozturk/visualization-and-svm-implementetion", "kernel_id": "1574209"}, {"ref": "vinicius35/titanic-random-forest-r-with-h2o", "kernel_id": "1399205"}, {"ref": "santoshbothe/eda-to-prediction-dietanic", "kernel_id": "1732615"}, {"ref": "patkakou/titanic-challenge-r", "kernel_id": "1535514"}, {"ref": "nirmalnk/titanic-firsttry", "kernel_id": "1005214"}, {"ref": "vivainz/titanic-prediction-test", "kernel_id": "1581873"}, {"ref": "gokuldas027/titanic-random-forest-sklearn", "kernel_id": "1858650"}, {"ref": "rjainr/titanic-for-beginners", "kernel_id": "1677667"}, {"ref": "tomoyukiaota/titanic", "kernel_id": "1180676"}, {"ref": "navendux/stacking-strategy-lgbm-and-xgboost-wrappers", "kernel_id": "1632464"}, {"ref": "callmeriver/feature-engineering-and-ml-for-beginners", "kernel_id": "1784828"}, {"ref": "venu1666/titanic-with-ann", "kernel_id": "1261284"}, {"ref": "princeatul/beginners-guide-for-selection-in-pandas-dataframe", "kernel_id": "1594235"}, {"ref": "kpreetsid/titanic-challenge-data-visualization-and-cleaning", "kernel_id": "1319372"}, {"ref": "cdeotte/titanic-spam-filter", "kernel_id": "1029920"}, {"ref": "cdeotte/titanic-wcg-xgboost-0-84688", "kernel_id": "1091633"}, {"ref": "cdeotte/titantic-mega-model-0-84210", "kernel_id": "1067891"}, {"ref": "cdeotte/titanic-deep-net-0-82296", "kernel_id": "1233717"}, {"ref": "jackyourdata/titanic-random-forest-and-hyperparameter-search", "kernel_id": "1440999"}, {"ref": "mehulgupta2016154/tableau-finds-survivors", "kernel_id": "1568058"}, {"ref": "mehulgupta2016154/tableau-and-titanic", "kernel_id": "1546994"}, {"ref": "mehulgupta2016154/tableau-randomforest-determining-survivor", "kernel_id": "1210246"}, {"ref": "mehulgupta2016154/xgbooster", "kernel_id": "1110090"}, {"ref": "mehulgupta2016154/diehard", "kernel_id": "1085349"}, {"ref": "mehulgupta2016154/survival", "kernel_id": "1066980"}, {"ref": "srihaas/titanic-deep-neural-network", "kernel_id": "1263773"}, {"ref": "sriharim/titanic-data-set-prediction-for-begginers", "kernel_id": "1159729"}, {"ref": "hugoncosta/hyperparameterized-catboost", "kernel_id": "1030365"}, {"ref": "sausen7/titanic-first-kernel", "kernel_id": "1538538"}, {"ref": "sanwal092/would-jack-have-lived", "kernel_id": "1377047"}, {"ref": "chenrq/titanic", "kernel_id": "1486836"}, {"ref": "henriqueyamahata/titanic-problem-begginer", "kernel_id": "1023382"}, {"ref": "albore/titanic-machine-learning-from-disaster", "kernel_id": "1809373"}, {"ref": "rajarshighoshal/titanic-predict-using-decision-tree-and-randoms", "kernel_id": "1483652"}, {"ref": "abinavramesh/titanic-analysis-no-extra-features", "kernel_id": "1427821"}, {"ref": "vashishtarora/beginner-trying-for-titanic1", "kernel_id": "1505983"}, {"ref": "vashishtarora/beginner-trying-for-titanic", "kernel_id": "1530416"}, {"ref": "kevinzhang98/titanic-classifier", "kernel_id": "1295719"}, {"ref": "harshitavemula/titanic-data-set", "kernel_id": "1390413"}, {"ref": "tejas4adabala/titaniccompetition-basicmodel", "kernel_id": "1324505"}, {"ref": "arindamkumar/solution-2-0-titanic", "kernel_id": "1780500"}, {"ref": "arindamkumar/solution-1-0", "kernel_id": "1726195"}, {"ref": "samuelpreethaml/titanic-predictions", "kernel_id": "1981635"}, {"ref": "fkstepz/make-voting-classifier-of-rf-gb-svm-xgb", "kernel_id": "1269725"}, {"ref": "priyankkushwah/titanic-by-neural-network-with-keras", "kernel_id": "1704779"}, {"ref": "ddacke/kernel98b7dabd54", "kernel_id": "1214182"}, {"ref": "yumengshan/stacking-tatanic", "kernel_id": "1028384"}, {"ref": "yumengshan/sss33", "kernel_id": "1014940"}, {"ref": "tino76/assignment-2-titanic", "kernel_id": "1342678"}, {"ref": "vipul92/titanic-keras-starter", "kernel_id": "1658847"}, {"ref": "marcelofms/titanic-learning-competition-kernel", "kernel_id": "1373767"}, {"ref": "akshita72/titanic-eda-with-pandas", "kernel_id": "1785477"}, {"ref": "mukul09/titanic", "kernel_id": "1163589"}, {"ref": "mukul09/titanic1", "kernel_id": "1183777"}, {"ref": "nidhikargathra/second-titanic-submission", "kernel_id": "1141072"}, {"ref": "nidhikargathra/my-first-titanic-submission", "kernel_id": "1127585"}, {"ref": "bhush98/titanic-survival-using-various-algorithm", "kernel_id": "1011614"}, {"ref": "aj65461/titanic-analysis", "kernel_id": "1864067"}, {"ref": "sz8416/start-here-titanic-survived-prediction", "kernel_id": "1155388"}, {"ref": "morningbitefan/titanic-uses-rf-and-ann", "kernel_id": "1451369"}, {"ref": "hugosjoberg/titanic-dataset-keras-deep-learning", "kernel_id": "1005128"}, {"ref": "zikazika/understandable-titanic-challenge", "kernel_id": "1776697"}, {"ref": "shivam1600/getting-started-on-kaggle", "kernel_id": "1161610"}, {"ref": "bineetranjan/gbt-classification", "kernel_id": "1001763"}, {"ref": "prasadhegde/titanic-voting-ensemble", "kernel_id": "1224438"}, {"ref": "adrian1acoran/prote-nas-humanas", "kernel_id": "1919172"}, {"ref": "adrian1acoran/1-learn-pi-3-1415926535897932-b144dd", "kernel_id": "1993701"}, {"ref": "kyen89/titanic-machine-learning-with-statistical-analysis", "kernel_id": "1317890"}, {"ref": "sumit29/titanic-kernel-based-on-xgboost-and-linear-classif", "kernel_id": "1381651"}, {"ref": "mitakayama/titanic-python-solutions", "kernel_id": "1164486"}, {"ref": "josh24990/simple-end-to-end-ml-workflow-top-5-score", "kernel_id": "1034460"}, {"ref": "wutrng/a-newbie-data-scientist-take-on-titanic-rfc", "kernel_id": "1405327"}, {"ref": "pri6242/titanic-prediction", "kernel_id": "1300925"}, {"ref": "blesspaul32/kaggle-big-data-analytics-team-2", "kernel_id": "1304588"}, {"ref": "dpandya18/titanic-survival-prediction", "kernel_id": "1250475"}, {"ref": "sukku04/titanic-data-science-solutions", "kernel_id": "1199562"}, {"ref": "jack89roberts/titanic-using-ticket-groupings", "kernel_id": "1056366"}, {"ref": "minjielu/family-model-kaggle-score-0-827-cv-0-9", "kernel_id": "1183083"}, {"ref": "lcrafael/randon-forest-example-with-titanic-dataset", "kernel_id": "1073479"}, {"ref": "shijianliang/lightgbm", "kernel_id": "1015131"}, {"ref": "seif95/titanic-predictions", "kernel_id": "1447705"}, {"ref": "cesarisadog/x3cc-abc", "kernel_id": "1583953"}, {"ref": "vikassharma807/titanic-disaster-problem-survival-prediction-ml", "kernel_id": "1167487"}, {"ref": "kherath/titanic-using-random-forests", "kernel_id": "1493159"}, {"ref": "kherath/titanic-dataset-eda-beginner-attempt", "kernel_id": "1573258"}, {"ref": "wariored/simple-way-to-make-titanic-prediction", "kernel_id": "1930090"}, {"ref": "lakshmipk/titanic-data-analysis-beginner-friendly", "kernel_id": "1628550"}, {"ref": "aliturkkan/comparison-of-models", "kernel_id": "1006604"}, {"ref": "gihanr/machine-learning-and-titanic", "kernel_id": "1047260"}, {"ref": "ham9615/titaniclr", "kernel_id": "1027005"}, {"ref": "ham9615/titanic-2", "kernel_id": "1394412"}, {"ref": "ecosaptarshi/survival-prediction-using-logistic-regression", "kernel_id": "1525426"}, {"ref": "amneves/titanic-keras-dnn", "kernel_id": "1897004"}, {"ref": "srisudheera/titanic", "kernel_id": "1343572"}, {"ref": "freespirit08/titanic-logistic-regression-tuning", "kernel_id": "1330327"}, {"ref": "anuj23/titanic-missing-age-by-regression-technique", "kernel_id": "1842432"}, {"ref": "amrdixon/titanic-random-forest-classifier", "kernel_id": "1226154"}, {"ref": "piyras23/titanic-survival-prediction-data-analysis", "kernel_id": "1774700"}, {"ref": "kwulffert/titanic-deep-learning", "kernel_id": "1717721"}, {"ref": "shdebbarma/titanic", "kernel_id": "1258113"}, {"ref": "ayushidhamija04/titanic-dataset-analysis", "kernel_id": "1918914"}, {"ref": "jwlin17/first-attempt-at-titanic-notebook", "kernel_id": "1644060"}, {"ref": "pallabsaha/titanic-dataset", "kernel_id": "1309655"}, {"ref": "john850512/tatanic-top4-with-randomforest", "kernel_id": "1460593"}, {"ref": "vincentman0403/titanic-survival-prediction-eda", "kernel_id": "1255430"}, {"ref": "vincentman0403/titanic-survival-prediction-0-8-top-16", "kernel_id": "1239203"}, {"ref": "poojaamlekar/titanic-decision-tree-and-random-forest", "kernel_id": "1219704"}, {"ref": "alexgazagnes/titanic-learning-from-disaster", "kernel_id": "1502954"}, {"ref": "alphabhati/helloworld", "kernel_id": "1020148"}, {"ref": "anish91237/titanic-1st-attempt", "kernel_id": "1384036"}, {"ref": "sunyitao/kernel9c87aaf6ed", "kernel_id": "1035290"}, {"ref": "chenbuntu/first-kernel", "kernel_id": "1752463"}, {"ref": "alexzhang008/1-10-logistic-regression-titanic-h-17683d", "kernel_id": "1023715"}, {"ref": "robertgcampbell/titanic-svm-with-rbf-kernel", "kernel_id": "1410599"}, {"ref": "rafabs/prevendo-mortalidades-no-desastre-do-titanic", "kernel_id": "1216832"}, {"ref": "liujuxiu/xgboost-example", "kernel_id": "1019192"}, {"ref": "flywithcode/titanic-predictions", "kernel_id": "1488529"}, {"ref": "kasturimitra/titanic", "kernel_id": "1124880"}, {"ref": "annatu/titanic-survival-prediction", "kernel_id": "1572804"}, {"ref": "ashar7/titanic-survival-prediction", "kernel_id": "1114784"}, {"ref": "singhsatwinder/titanic-survival-prediction-bda-project", "kernel_id": "1414791"}, {"ref": "shahbaz275817/tatanic-survivers0-1", "kernel_id": "1056425"}, {"ref": "eueevnn/titanic", "kernel_id": "1300595"}, {"ref": "shakti17/fork-of-titanic", "kernel_id": "1262050"}, {"ref": "rbiasuz/random-forest-and-parameter-tunning-in-the-titanic", "kernel_id": "1427848"}, {"ref": "shinyafujita/shinyafujita-03", "kernel_id": "1011681"}, {"ref": "shinyafujita/shinyafujita-04", "kernel_id": "1011871"}, {"ref": "shinyafujita/shinyafujita-02", "kernel_id": "1010255"}, {"ref": "shinyafujita/shinyafujita-05", "kernel_id": "1016049"}, {"ref": "christophed/titanic-plotting-features-and-prediction-v2", "kernel_id": "1237532"}, {"ref": "diff77/k-means-with-pca-without-what-is-better", "kernel_id": "1588917"}, {"ref": "kpkpkp/titanic-xgboost-insights", "kernel_id": "1009978"}, {"ref": "twanifuchi/this-is-my-best-practice-titanic", "kernel_id": "1286140"}, {"ref": "prashantm2812/my-best-for-titanic", "kernel_id": "1308727"}, {"ref": "seesea0203/1-10-logistic-regression-titanic-h-72297e", "kernel_id": "1019721"}, {"ref": "seesea0203/titanic-knn", "kernel_id": "1228360"}, {"ref": "sophia2018/titanic-framework-b337e8", "kernel_id": "1542300"}, {"ref": "bigbigdog/titanic-07-27", "kernel_id": "1352543"}, {"ref": "bigbigdog/fork-of-titanic-1-0-0", "kernel_id": "1343466"}, {"ref": "srujanbelde/titanic-solution-1", "kernel_id": "1160756"}, {"ref": "chuckivan/titanic-logit", "kernel_id": "1239528"}, {"ref": "dominikstraessle/titanic", "kernel_id": "1083209"}, {"ref": "drribeiro/titanic", "kernel_id": "1012903"}, {"ref": "pascalsimpkins/titanic-survival-rates-heavily-annotated", "kernel_id": "1002793"}, {"ref": "kuroironeko/titanic-xgb", "kernel_id": "1411492"}, {"ref": "vmelonari/titanic-v2", "kernel_id": "1312426"}, {"ref": "nikhazell/exploring-the-titanic", "kernel_id": "1788292"}, {"ref": "yboris/keras-two-prong-model-80", "kernel_id": "1295750"}, {"ref": "shivampanwar/titanic-dataset-kernel", "kernel_id": "1863276"}, {"ref": "erskumars/titanic-survival-eda-and-survival-rate-prediction", "kernel_id": "1273761"}, {"ref": "pamoda/team-cast-naive-bayes", "kernel_id": "1198094"}, {"ref": "learnnew/titanicbasicprediction", "kernel_id": "1628084"}, {"ref": "eraaz1/a-comprehensive-guide-to-titanic-machine-learning", "kernel_id": "1523691"}, {"ref": "szaitseff/under-the-hood-a-dense-net-on-titanic-dataset", "kernel_id": "1261350"}, {"ref": "szaitseff/titanic-quick-model-first-then-data-manipulation", "kernel_id": "1248219"}, {"ref": "joythabo33/kaggle-titanic-kernel", "kernel_id": "1348464"}, {"ref": "nakamuratkbiz/titanic-0621-2", "kernel_id": "1185000"}, {"ref": "zeronfinity/test-titanic", "kernel_id": "1171687"}, {"ref": "jsingh93/titanic-dataset-predictions-with-machine-learning", "kernel_id": "1172117"}, {"ref": "figarrikeisha/try-on-titanic", "kernel_id": "1245711"}, {"ref": "adisayshello/code-initial", "kernel_id": "1378078"}, {"ref": "ryohama/titanic-decision-tree-learning-1", "kernel_id": "1020800"}, {"ref": "ashirahama/simple-logistic-regression", "kernel_id": "1968668"}, {"ref": "marloz/titanic-first-competition", "kernel_id": "1144740"}, {"ref": "tatesh/submission-2", "kernel_id": "1300331"}, {"ref": "fabianopaulelli/titanic-usando-decisiontreeclassifier", "kernel_id": "1057510"}, {"ref": "vaibhavsagar/titanic-by-a-beginner", "kernel_id": "1741469"}, {"ref": "noahlorinczcomi/r-glm-prob-estimates-81", "kernel_id": "1004350"}, {"ref": "odobenus/lime-titanic-day3", "kernel_id": "1566382"}, {"ref": "luoyanbin/titanic-survived-forecast", "kernel_id": "1019737"}, {"ref": "kfkabdg/introduction-to-ensembling-stacking-in-pyth-73bd17", "kernel_id": "1030084"}, {"ref": "kfkabdg/scikit-learn-ml-from-start-to-finish", "kernel_id": "1081371"}, {"ref": "rrdelgadoc/did-jack-survive-a-kaggle-newbie-approach", "kernel_id": "1340359"}, {"ref": "indramani/titanic2", "kernel_id": "1002303"}, {"ref": "pbzeppelin/gradient-boosting-classifier", "kernel_id": "1009271"}, {"ref": "wisteriawell/titanic-0-78947", "kernel_id": "1232501"}, {"ref": "dwrafter/kernel1ad86bb4fb", "kernel_id": "1303486"}, {"ref": "kimhyeongeon/khg-random-forest", "kernel_id": "1071007"}, {"ref": "rajmehra03/eda-data-visualization-n-predictions-with-titanic", "kernel_id": "1266423"}, {"ref": "taufikadi/digit-recognizer", "kernel_id": "1480988"}, {"ref": "hiroccini/titanic-0010-030-best-bins-for-age-fare", "kernel_id": "1733442"}, {"ref": "cleoaguiar/titanic-machine-learning", "kernel_id": "1942194"}, {"ref": "ariadneadler/xgboost-gridsearchcv-stratified-k-fold-top-5", "kernel_id": "1168613"}, {"ref": "ampcpmgp/test-titanic", "kernel_id": "1239373"}, {"ref": "sateesh14siv/82-3-using-ticket-fare-pclass-and-embarked", "kernel_id": "1280409"}, {"ref": "djohnbar/the-titanic-using-knn", "kernel_id": "1332884"}, {"ref": "djohnbar/titanic-rf", "kernel_id": "1375634"}, {"ref": "djohnbar/fork-of-titanic-rf-w-titles", "kernel_id": "1376128"}, {"ref": "jamesvalencia1/titanic-learning-to-ml", "kernel_id": "1242882"}, {"ref": "rohitroro/titanic-data-analysis-and-eda", "kernel_id": "1746056"}, {"ref": "arihant0497/complete-guide-for-titanic-survival-problem", "kernel_id": "1031982"}, {"ref": "kevinw326/written-by-a-complete-beginner-random-forest", "kernel_id": "1505879"}, {"ref": "wangweiyi/titanic-analysis", "kernel_id": "1494577"}, {"ref": "treiff1/titatnic", "kernel_id": "1035233"}, {"ref": "gv1994/titanic-beginner", "kernel_id": "1068963"}, {"ref": "killerbeer/start-with-titanic", "kernel_id": "1003542"}, {"ref": "killerbeer/titanic-data-science-solutions", "kernel_id": "1003545"}, {"ref": "wangdsh/partial-dependence-plots", "kernel_id": "1666420"}, {"ref": "tjnhlapo/thabo-nhlapo-1st-data-science-tut", "kernel_id": "1015209"}, {"ref": "jeshugames2/classification-using-svm", "kernel_id": "1471247"}, {"ref": "jaserji/titanic-revolution", "kernel_id": "1282712"}, {"ref": "zengqing/helloworld", "kernel_id": "1009771"}, {"ref": "sisakk/titanic-survival-prediction-model-building", "kernel_id": "1383193"}, {"ref": "uysimty/learn-titanic-survival", "kernel_id": "1035434"}, {"ref": "dwarkanath/titanic-neural-networks", "kernel_id": "1528783"}, {"ref": "glunokruo/titanicselflearning", "kernel_id": "1559317"}, {"ref": "minhnq/my-first-kernel-with-titanic-dataset", "kernel_id": "1494606"}, {"ref": "hiktsu/implementation-using-tensorflow-for-titanic", "kernel_id": "1080559"}, {"ref": "kawasakikou/titanic-data-science-solutions", "kernel_id": "1055012"}, {"ref": "chappy19910723/tutrial20180702-2", "kernel_id": "1235144"}, {"ref": "annarose94/kernele2a0f2a419", "kernel_id": "1481089"}, {"ref": "biswajee/titanic-dataset", "kernel_id": "1176436"}, {"ref": "rachelzhong/titanic-framework-rachel", "kernel_id": "1559931"}, {"ref": "madanchi/ensemble-stacking-with-xgboost", "kernel_id": "1040550"}, {"ref": "nielspace/titanic-catastrophe", "kernel_id": "1184800"}, {"ref": "harezmi/a-solution-to-titanic-data-set", "kernel_id": "1765887"}, {"ref": "hanzh0420/kernel-titanic-svm", "kernel_id": "1226230"}, {"ref": "lpdataninja/machine-learning-with-apache-spark", "kernel_id": "1471118"}, {"ref": "musawande/kernel8710d2459f", "kernel_id": "1140490"}, {"ref": "karpagam812/titanic", "kernel_id": "1058884"}, {"ref": "khrims/kernel6116712777", "kernel_id": "1479837"}, {"ref": "christianrichter/titanic-jupyterkernel-christian", "kernel_id": "1268736"}, {"ref": "christianrichter/titanic-christian-xgboost", "kernel_id": "1268995"}, {"ref": "kkishi/titanic", "kernel_id": "1120332"}, {"ref": "vknguyen/titanic-survival-prediction-based-on-gender", "kernel_id": "1080537"}, {"ref": "yergou/titanic", "kernel_id": "1055942"}, {"ref": "polps85/feature-eng-logistic-regr-top-5-0-81818", "kernel_id": "1408797"}, {"ref": "tressa2496/titanic-survival-classification", "kernel_id": "1471043"}, {"ref": "maxeclipse/titanic-predict", "kernel_id": "1321994"}, {"ref": "shalkumari/titanic-dataset", "kernel_id": "1537645"}, {"ref": "nadare/titanic-randomforest-0-79425", "kernel_id": "1096781"}, {"ref": "garvitkhurana/titanic-machine-learning-over-80-accuracy", "kernel_id": "1186036"}, {"ref": "agnihotri2203/titanic-survival-predictions-beginner-fd3bab", "kernel_id": "1458696"}, {"ref": "lmj5929/deep-neuron-network-titanic-0-79425", "kernel_id": "1094341"}, {"ref": "bahamutedean/titanic-with-different-classificaion", "kernel_id": "1857632"}, {"ref": "ishansoni/titanic-survival-exploration", "kernel_id": "1063695"}, {"ref": "agibilis/titanic-survival-prediction", "kernel_id": "1061506"}, {"ref": "hassanamin/titanicadvnotebook", "kernel_id": "1187270"}, {"ref": "piyush246/titanic-survival-prediction", "kernel_id": "1066142"}, {"ref": "colonelkash/titanic-result", "kernel_id": "1090738"}, {"ref": "colonelkash/processed-some-na-added-variable-famile-size", "kernel_id": "1093881"}, {"ref": "colonelkash/please-someone-look-into-this-and-tell-the-error", "kernel_id": "1127052"}, {"ref": "anirudh2312/interpretation-and-tuning-of-hyperparameters", "kernel_id": "1439369"}, {"ref": "wshuhda/high-quality-solution", "kernel_id": "1144944"}, {"ref": "edelgadou/titanic-logistic-regression", "kernel_id": "1145455"}, {"ref": "jerryx99/titanic-with-decision-trees-in-python", "kernel_id": "1145119"}, {"ref": "rdwall98/titanic-predictions-using-logisticregression-model", "kernel_id": "1145133"}, {"ref": "rayhuang0909/mytitanic", "kernel_id": "1071017"}, {"ref": "jcreynol/cal-titanic", "kernel_id": "1145714"}, {"ref": "marylin34/submission-1-mary", "kernel_id": "1145315"}, {"ref": "rbandrews3/ix-titanic-kaggle-hw", "kernel_id": "1148136"}, {"ref": "azradey/first-try", "kernel_id": "1145384"}, {"ref": "radhikasriv/best-titanic-submission-ever", "kernel_id": "1145689"}, {"ref": "caitlinweigel/titanic-submission-1", "kernel_id": "1145471"}, {"ref": "caitlinweigel/best-titanic", "kernel_id": "1145416"}, {"ref": "logandav5280/titanic-decision-tree", "kernel_id": "1145516"}, {"ref": "robferc/titanic-testing", "kernel_id": "1734256"}, {"ref": "andreamakamba/titanic", "kernel_id": "1145609"}, {"ref": "divyeshardeshana/titanic-survived-and-not-survived-analysis", "kernel_id": "1915623"}, {"ref": "cantseemyeyes/jacky-tung-s-prediction-for-titanic", "kernel_id": "1145227"}, {"ref": "cantseemyeyes/jacky-tung-s-prediction", "kernel_id": "1145038"}, {"ref": "ayush2808/python-decision-tree-attempt", "kernel_id": "1145286"}, {"ref": "brennocosta/titanic-first-project", "kernel_id": "1076069"}, {"ref": "xiong2018/titanic-with-family-survival-learning", "kernel_id": "1134101"}, {"ref": "suwwooo/python-titanic-ting", "kernel_id": "1145283"}, {"ref": "randyhoang/titanic-machine-learning-from-disaster", "kernel_id": "1586189"}, {"ref": "xunxunshi/difference-in-gun-crime-motives-among-gender", "kernel_id": "1080552"}, {"ref": "juliettemc/kernelcd1cc08d9a", "kernel_id": "1634623"}, {"ref": "kuldeepnpatel/titanic-machine-learning-from-disaster", "kernel_id": "1343212"}, {"ref": "johnlingle/titanic-1st-kernel-execute-jhl", "kernel_id": "1394692"}, {"ref": "acsrikar279/titanic-higher-score-using-kneighborsclassifier", "kernel_id": "1331989"}, {"ref": "hatone/randomforestclassifier-with-gridsearchcv", "kernel_id": "1250191"}, {"ref": "hatone/gradientboostingclassifier-with-gridsearchcv", "kernel_id": "1256139"}, {"ref": "hatone/mlpclassifier-with-gridsearchcv", "kernel_id": "1255775"}, {"ref": "hatone/gradientboostingclassifier-estimated-by-tpot", "kernel_id": "1261853"}, {"ref": "gafaronline/titanic-data-science-solutions", "kernel_id": "1808008"}, {"ref": "partha8vijayan/titanic-disaster", "kernel_id": "1280062"}, {"ref": "huangshiyang1993/use-randomforests-to-predict-titanic-survial", "kernel_id": "1090963"}, {"ref": "dangdajun/end-to-end-process-for-titanic-problem", "kernel_id": "1678643"}, {"ref": "hegdekarthik/titanic-prediction-beginner-level-decision-tree", "kernel_id": "1435492"}, {"ref": "fumble14159/titanic-data-science-solutions", "kernel_id": "1707719"}, {"ref": "abhinandrk/titanic-survival-prediction-with-python", "kernel_id": "1596058"}, {"ref": "pinabertoglia/titanic-epidemic", "kernel_id": "1156453"}, {"ref": "pinabertoglia/titanic-influenza", "kernel_id": "1159823"}, {"ref": "pinabertoglia/titanic-influenza-h7n9", "kernel_id": "1160857"}, {"ref": "bicubico/first-try-on-titanic", "kernel_id": "1118242"}, {"ref": "bicubico/a-clean-code-is-a-happy-code", "kernel_id": "1163087"}, {"ref": "bicubico/if-you-like-it-you-should-put-a-xgboost-on-it", "kernel_id": "1162729"}, {"ref": "anupit/titanic-machine-learning-from-disaster", "kernel_id": "1191974"}, {"ref": "honeysingh/titanic", "kernel_id": "1200077"}, {"ref": "rohitpremkumar/titanic-ml-exploration", "kernel_id": "1314368"}, {"ref": "albyedw/titanic-competition", "kernel_id": "1297890"}, {"ref": "sadayoshitada/firstnote", "kernel_id": "1708735"}, {"ref": "raja081994/titanic-python", "kernel_id": "1228261"}, {"ref": "fahimhm/firstitanic-learn", "kernel_id": "1912226"}, {"ref": "mahmoudmohamed/titanic-kernel-svm", "kernel_id": "1150804"}, {"ref": "hughguo/2nd-of-titanic-anlayze", "kernel_id": "1190564"}, {"ref": "hughguo/titanic-as-the-first-analyze", "kernel_id": "1116787"}, {"ref": "akankshasamar/titanic-dataset-python-solution", "kernel_id": "1820827"}, {"ref": "antoniocatalano/ml-titanic-my-first-ml-model", "kernel_id": "1238641"}, {"ref": "frizzles7/titanic-intro", "kernel_id": "1352080"}, {"ref": "benjamingatti/introduction-to-ensembling-stacking-in-python", "kernel_id": "1548508"}, {"ref": "rks210687/titanic-survivor-problem", "kernel_id": "1263062"}, {"ref": "rschroderus/titanic-survival", "kernel_id": "1615653"}, {"ref": "captainilu/titanic-ml-from-disasters", "kernel_id": "1506948"}, {"ref": "tkaleczyc/who-survives", "kernel_id": "1233828"}, {"ref": "aravindtls/logisticregression-titanicdataset", "kernel_id": "1526363"}, {"ref": "jaytalati87/titanic-the-disaster-of-human-life", "kernel_id": "1425409"}, {"ref": "michaelgutman/a-first-kernel", "kernel_id": "1438820"}, {"ref": "brochinejr/test-kernel", "kernel_id": "1677813"}, {"ref": "brochinejr/titanic", "kernel_id": "1678455"}, {"ref": "felipecosse/titanic-decisiontree", "kernel_id": "1994677"}, {"ref": "whomer/titanic", "kernel_id": "1667275"}, {"ref": "eshin24/kernele2587cb1fb", "kernel_id": "1615829"}, {"ref": "rdmisal/applying-all-classifier-on-titanic-dataset", "kernel_id": "1500027"}, {"ref": "runno008/my-first-kaggle-kernal-for-titanic", "kernel_id": "1211193"}, {"ref": "pedrofernandez/titanic", "kernel_id": "1155851"}, {"ref": "lokesharun/titanic", "kernel_id": "1378617"}, {"ref": "bbarakov/titanic-step-by-step", "kernel_id": "1560795"}, {"ref": "maccalla/titanic-challenge-written-in-japanese", "kernel_id": "1219194"}, {"ref": "ren666/kaggle-titanic", "kernel_id": "1170835"}, {"ref": "shayanb2004/titanic-codes", "kernel_id": "1184871"}, {"ref": "munirazj/aims-ds-2018-mym", "kernel_id": "1161268"}, {"ref": "jakerumbles/titanicsurvivalpredictor", "kernel_id": "1351356"}, {"ref": "kodevyas/titanic", "kernel_id": "1185188"}, {"ref": "supriya675/titanic-prediction-simplified-for-beginners", "kernel_id": "1297940"}, {"ref": "sai3247/ensemble-method", "kernel_id": "1221671"}, {"ref": "adihalbe/titanic", "kernel_id": "1573780"}, {"ref": "mtourond/splitting-pclass-and-tuning-models", "kernel_id": "1902660"}, {"ref": "adrsok/titanic", "kernel_id": "1275070"}, {"ref": "jacobvandelindt/kernel3e23522e82", "kernel_id": "1232874"}, {"ref": "avi221b/kernel914b878579", "kernel_id": "1375871"}, {"ref": "kadvani01/titanic-deep-learning", "kernel_id": "1221032"}, {"ref": "kadvani01/titanic-decisiontreeclassifier", "kernel_id": "1220410"}, {"ref": "shaynarh/titanic-kernel-clean-and-analyze", "kernel_id": "1261428"}, {"ref": "renatobentorocha/titanic-beginner", "kernel_id": "1823605"}, {"ref": "shankze/beginner-eda-feature-engineering-and-stacking", "kernel_id": "1826176"}, {"ref": "zhoulingyan0228/dense-neural-network", "kernel_id": "1223342"}, {"ref": "zhoulingyan0228/titanic-surviver-classification-w-tf-estimator", "kernel_id": "1238620"}, {"ref": "showtama/1st-notebook", "kernel_id": "1512434"}, {"ref": "shyamspr/backward-elimination", "kernel_id": "1582402"}, {"ref": "chroteus/titanic-using-random-forest", "kernel_id": "1211565"}, {"ref": "fuzzywizard/in-depth-survival-analysis-85-for-beginners", "kernel_id": "1248437"}, {"ref": "pratikmirani/my-first-gp-in-r", "kernel_id": "1429406"}, {"ref": "vamshavardhanreddy/randomforest", "kernel_id": "1993633"}, {"ref": "masafumi11/optuna-demo", "kernel_id": "1210189"}, {"ref": "purichan/titanic-scikit-for-feature-eng-and-predictions", "kernel_id": "1451619"}, {"ref": "itukaiti/titanic-survived", "kernel_id": "1593176"}, {"ref": "corvuslee/titanic-random-forest-practice", "kernel_id": "1906708"}, {"ref": "hakkoma/titanic-survival-prediction-for-personal-practice", "kernel_id": "1214019"}, {"ref": "t0nberry/titanic-0-8133-with-knn", "kernel_id": "1574038"}, {"ref": "rgunny/titanic-tutorial-machine-learning-from-disaster", "kernel_id": "1311485"}, {"ref": "kwonyoung234/proportion-of-survivors-at-the-titanic", "kernel_id": "1220969"}, {"ref": "hidehito/hidehitofukushima-draft", "kernel_id": "1536956"}, {"ref": "hidehito/all0fukushima", "kernel_id": "1537016"}, {"ref": "pvramireddy/titanic-survived-predictions", "kernel_id": "1568644"}, {"ref": "sungdoo/titanicpractice", "kernel_id": "1228166"}, {"ref": "sungdoo/ensemble", "kernel_id": "1820653"}, {"ref": "dhr999/rms-titanic", "kernel_id": "1231284"}, {"ref": "dhr999/new-titanic", "kernel_id": "1239579"}, {"ref": "khotveer1/titanic-solution", "kernel_id": "1264816"}, {"ref": "anupjana/top-10-titanic-survival-tune-rf-model", "kernel_id": "1489276"}, {"ref": "yusuphjoluwaseun/a-journey-through-titanic", "kernel_id": "1617386"}, {"ref": "chhuang0123/titanic-scikit-learn-lr-rfr-and-nn", "kernel_id": "1365585"}, {"ref": "tsai90k/dnn-titanic", "kernel_id": "1388984"}, {"ref": "tsai90k/xgboost-titanic", "kernel_id": "1388871"}, {"ref": "tsai90k/logisticregression-titanic", "kernel_id": "1390037"}, {"ref": "evacheng/assignment2", "kernel_id": "1361992"}, {"ref": "fzy311/rf-basic", "kernel_id": "1248858"}, {"ref": "patricksong/titanic-survival-prediction", "kernel_id": "1371561"}, {"ref": "santhoshbala18/titanic-solution", "kernel_id": "1355223"}, {"ref": "flavin/my-take-on-the-beginner-titanic-kernel", "kernel_id": "1532538"}, {"ref": "srb256/random-forests-on-titanic-dataset", "kernel_id": "1396359"}, {"ref": "keshik/titanic-machine-learning-a-noob-s-approach", "kernel_id": "1805978"}, {"ref": "rubychang/my-titanic-project", "kernel_id": "1336433"}, {"ref": "trendtonychu/trend-tony-chu-assignment2", "kernel_id": "1391835"}, {"ref": "gita1375/titanic", "kernel_id": "1249699"}, {"ref": "yugagrawal95/titanic-disaster-analysis-for-beginner", "kernel_id": "1496791"}, {"ref": "kshtijroy/titanic", "kernel_id": "1330917"}, {"ref": "kevinwwu/assignment-2", "kernel_id": "1392338"}, {"ref": "rasitiri/logistic-regression-hw", "kernel_id": "1627851"}, {"ref": "willing2learn/willing2learn", "kernel_id": "1508838"}, {"ref": "sid321axn/titanic-survival-eda-feature-engineering", "kernel_id": "1716596"}, {"ref": "hephzaron/titanic-data-set-practise", "kernel_id": "1444401"}, {"ref": "nikhilt1999/titanic-solution", "kernel_id": "1264105"}, {"ref": "yuvi335/kernel534d8d68ba", "kernel_id": "1374781"}, {"ref": "yiidtw/a-complete-guide-for-binary-classification-problem", "kernel_id": "1372039"}, {"ref": "mizomatic/titanic-data-pytorch", "kernel_id": "1524046"}, {"ref": "bimbus94/titanic-po-polsku", "kernel_id": "1279678"}, {"ref": "ym6666/kernel2781ae8384", "kernel_id": "1838148"}, {"ref": "salamthabet/titanic", "kernel_id": "1501720"}, {"ref": "nikon708/titanic-version3", "kernel_id": "1343834"}, {"ref": "sdshariff/titanic", "kernel_id": "1446115"}, {"ref": "govindra/first-kernel-about-titanic-database", "kernel_id": "1288482"}, {"ref": "fooeta/titanic-visualize-try", "kernel_id": "1360678"}, {"ref": "ushanemani/titanic-survivals-version2", "kernel_id": "1644744"}, {"ref": "hscannell/eda-to-prediction-dietanic", "kernel_id": "1274762"}, {"ref": "zclarkwilliams/titanic-svm-py", "kernel_id": "1375577"}, {"ref": "qinhe123/bigenner-titanic", "kernel_id": "1307713"}, {"ref": "junyingzhang2018/classification-with-titanic-data", "kernel_id": "1284170"}, {"ref": "snaily16/titanic-survival-prediction", "kernel_id": "1613772"}, {"ref": "ahmetserguns/my-first-kernel-about-titanic-dataset", "kernel_id": "1288323"}, {"ref": "zhuyongsheng/my-titanic-use-logistic-regression", "kernel_id": "1290404"}, {"ref": "mtejeda/fork-tsc-clean-data-then-separate", "kernel_id": "1328898"}, {"ref": "mtejeda/kernel1e49155210", "kernel_id": "1285085"}, {"ref": "jasonmei/random", "kernel_id": "1284853"}, {"ref": "jasonmei/assignment2", "kernel_id": "1393926"}, {"ref": "kkang09/kernelba3fc4d674", "kernel_id": "1285695"}, {"ref": "jyothiallada/question12-common-eda-steps-followed", "kernel_id": "1335449"}, {"ref": "samsonqian/titanic-guide-with-sklearn-and-eda", "kernel_id": "1370221"}, {"ref": "chinarxo/titanic-prediction", "kernel_id": "1973759"}, {"ref": "ajaysub110/titanic-random-forest-and-hyperparameter-search", "kernel_id": "1437747"}, {"ref": "kuniowu/titanic-machine-learning-from-disaster", "kernel_id": "1541761"}, {"ref": "shivam001/titanic-py", "kernel_id": "1616633"}, {"ref": "mohamedmahrous/titanic", "kernel_id": "1402656"}, {"ref": "nagar500/titanic-survivor-predictions", "kernel_id": "1359492"}, {"ref": "deepanshkhurana/titanic-solution-attempt-4", "kernel_id": "1481810"}, {"ref": "deepanshkhurana/titanic-solution-attempt-3", "kernel_id": "1475854"}, {"ref": "deepanshkhurana/titanic-solution-attempt-2", "kernel_id": "1473775"}, {"ref": "deepanshkhurana/titanic-solution-attempt-1", "kernel_id": "1471976"}, {"ref": "hostfox/introduction-to-ensembling-stacking-in-python", "kernel_id": "1326732"}, {"ref": "sayandasgupta97/day-2", "kernel_id": "1652393"}, {"ref": "ronggen/lr-for-tatanic", "kernel_id": "1476682"}, {"ref": "csw4192/titanic-randomforest", "kernel_id": "1472711"}, {"ref": "maheshchincholikar/logistic-regression-on-titanic-dataset", "kernel_id": "1357852"}, {"ref": "taolearnstolearn/eda-with-bar-plot", "kernel_id": "1532161"}, {"ref": "devasu/beginner-using-decision-tree-classifier", "kernel_id": "1495409"}, {"ref": "tanakataro73/kernel-titanic-practice1-lp-tech-net", "kernel_id": "1357368"}, {"ref": "tanakataro73/titanic-practice-sumire4ever", "kernel_id": "1358301"}, {"ref": "redenventeria/just-another-titanic-kernel-fork", "kernel_id": "1608186"}, {"ref": "d8anurd/titanic-machine-learning-from-diaster", "kernel_id": "1390427"}, {"ref": "weisoon/kernel-for-titanic-predictions-v3", "kernel_id": "1324021"}, {"ref": "vjgupta/titanic-simple-model-beginners", "kernel_id": "1420521"}, {"ref": "clevertrevor/titanic-notebook", "kernel_id": "1559793"}, {"ref": "bhuntgeb/titanic-competition-2", "kernel_id": "1920566"}, {"ref": "robertogargu/titanic-using-random-forest-partial-dep-plots", "kernel_id": "1483225"}, {"ref": "robertogargu/titanic-using-xgboost", "kernel_id": "1491288"}, {"ref": "kendhcz/titanic-ashwini-swain-eda-to-prediction", "kernel_id": "1966935"}, {"ref": "abhinav9384/titanic-survival-modified", "kernel_id": "1454118"}, {"ref": "abhinav9384/titanic-solution-baseline-model", "kernel_id": "1431200"}, {"ref": "groveh/titanic", "kernel_id": "1364599"}, {"ref": "omersen99/log-reg", "kernel_id": "1903229"}, {"ref": "soserian/titanic-test", "kernel_id": "1494512"}, {"ref": "mlsiva/siva-stitanic", "kernel_id": "1382992"}, {"ref": "imaxons/titanic-good-way-to-get-started", "kernel_id": "1935822"}, {"ref": "luckscylla/titanic-my-solution", "kernel_id": "1561113"}, {"ref": "pnyaga/titanic-public-final", "kernel_id": "1339951"}, {"ref": "craxxk/titanic-predictions", "kernel_id": "1730135"}, {"ref": "alissecian/titanic-crash-course-decision-tree-visualization", "kernel_id": "1626689"}, {"ref": "jiankunwang/titanic", "kernel_id": "1353146"}, {"ref": "mdtoufique/titanic-disaster", "kernel_id": "1608988"}, {"ref": "theamazingspiderman/titanic1", "kernel_id": "1453418"}, {"ref": "devpopat/first-step-towards-machine-learning", "kernel_id": "1974907"}, {"ref": "youben/a-beginner-approach-for-the-titanic-problem", "kernel_id": "1360803"}, {"ref": "vijayg13/simple-tutorial-for-beginners", "kernel_id": "1590933"}, {"ref": "zombiebean/pyspark-titanic", "kernel_id": "1757672"}, {"ref": "doranemoda/titanic-kernel-lots-of-things", "kernel_id": "1629724"}, {"ref": "louis030195/titanic", "kernel_id": "1378047"}, {"ref": "singh9267/titanic", "kernel_id": "1394754"}, {"ref": "shiyanmelody/titanic-survival-prediction-start-to-end-python", "kernel_id": "1803402"}, {"ref": "nekojohn/model-v2", "kernel_id": "1418489"}, {"ref": "nekojohn/model-v3-dt", "kernel_id": "1422867"}, {"ref": "nekojohn/titanic-model1", "kernel_id": "1375413"}, {"ref": "toshinaki/kernelf6bfc55375", "kernel_id": "1558119"}, {"ref": "ayumka/titanic-my-first-shakyo", "kernel_id": "1674436"}, {"ref": "lucablaq/titanic-predict", "kernel_id": "1488207"}, {"ref": "lucablaq/titanic-test", "kernel_id": "1524014"}, {"ref": "hreeya/partial-dependence-plots-examples", "kernel_id": "1619159"}, {"ref": "hreeya/titanic-machine-learning-from-disaster", "kernel_id": "1628897"}, {"ref": "thebhushanmhatre/my-firsttry-on-kaggle", "kernel_id": "1432681"}, {"ref": "metetik/classification-algorithms-comparison", "kernel_id": "1503912"}, {"ref": "datascin/titanic-dataset-analysis-and-prediction", "kernel_id": "1896951"}, {"ref": "saife245/titanic-depth-analysis-eda-model", "kernel_id": "1776246"}, {"ref": "saife245/titanic-deep-learning-model-with-80-accuracy", "kernel_id": "1796490"}, {"ref": "poppyness/first-kernel-for-titanic", "kernel_id": "1461788"}, {"ref": "teddyzhang001/titanic-practice-by-xgboost", "kernel_id": "1631394"}, {"ref": "harshitholmes/practice1-from-the-kaggle-lesson", "kernel_id": "1697119"}, {"ref": "harshitholmes/first-trial", "kernel_id": "1729263"}, {"ref": "golddigger1943/golddigger-s-titanic-randomforestclassifier", "kernel_id": "1589979"}, {"ref": "ryokita09/without-train-data-but-using-famous-tendency", "kernel_id": "1416122"}, {"ref": "yuikitaml/from-scratch-titanic-solution", "kernel_id": "1419717"}, {"ref": "yuikitaml/method-examples", "kernel_id": "1459471"}, {"ref": "pkmgarcia/titanic-collab-notebook", "kernel_id": "1443874"}, {"ref": "waithira/titanic-analysis-with-r", "kernel_id": "1847170"}, {"ref": "darshnreddy/travelling-with-titanic-first-attempt", "kernel_id": "1428380"}, {"ref": "zerebom/kernelb6424c110a", "kernel_id": "1575291"}, {"ref": "o7ronak7/a-comprehensive-ml-workflow-with-python", "kernel_id": "1966644"}, {"ref": "o7ronak7/titanic-data-science-solutions", "kernel_id": "1980330"}, {"ref": "calldebanjan0/titanic-machine-learning-problem", "kernel_id": "1502131"}, {"ref": "mjl215/titanic", "kernel_id": "1416024"}, {"ref": "enespolat/titanic-my-solution", "kernel_id": "1465371"}, {"ref": "enespolat/lstm-and-regular-rnn-model", "kernel_id": "1997114"}, {"ref": "nan777/titanicdub-gya", "kernel_id": "1895407"}, {"ref": "mukesh62/titanic-1913", "kernel_id": "1424152"}, {"ref": "sergioortiz/titanic-competition-data-exploration-1", "kernel_id": "1921598"}, {"ref": "sergioortiz/titanic-competition-a-learning-diary", "kernel_id": "1919210"}, {"ref": "sergioortiz/titanic-competition-script-1", "kernel_id": "1970778"}, {"ref": "sergioortiz/titanic-competition-feature-engineering-1", "kernel_id": "1970690"}, {"ref": "giancarlo26/titanic-first", "kernel_id": "1431315"}, {"ref": "stvalx/titanic-survival-prediction-xgboost", "kernel_id": "1719972"}, {"ref": "dhong918/titanic-framework-knn-dh", "kernel_id": "1522226"}, {"ref": "kalidasyan/titanic-framework", "kernel_id": "1571764"}, {"ref": "jungan/titanic-framework", "kernel_id": "1649790"}, {"ref": "jungan/knn-titanic-fillna-anynull-loc-char2num-hist-bar", "kernel_id": "1667692"}, {"ref": "jungan/logistic-regression-titanic-sklearn-dmatrices-bar", "kernel_id": "1678494"}, {"ref": "gbellport/simple-titanic-data-analysis-w-cabin", "kernel_id": "1882473"}, {"ref": "allieluo/ai-camp-logistic-regression-titanic-homewor-bd608a", "kernel_id": "1667831"}, {"ref": "allieluo/titanic-ninechapter", "kernel_id": "1537189"}, {"ref": "rhombuslab/titanic-logistic-regression-with-python", "kernel_id": "1477414"}, {"ref": "monthepp/titanic-machine-learning-from-disaster", "kernel_id": "1470201"}, {"ref": "luckyboy1220/titanic-framework-b391c5", "kernel_id": "1559309"}, {"ref": "abhisheksingh2702/survival-of-titanic-passagers", "kernel_id": "1579738"}, {"ref": "jschnab/titanic-survival-feature-engineering-svm", "kernel_id": "1863324"}, {"ref": "ialimustufa/titanic-beginner-s-guide-with-sklearn", "kernel_id": "1464853"}, {"ref": "scottdaniel/exploring-survival-on-the-titanic", "kernel_id": "1966226"}, {"ref": "scottdaniel/mice-and-caret-for-titanic-survival-prediction", "kernel_id": "1997447"}, {"ref": "hotrank/titanic-framework-jiuzhang-hw", "kernel_id": "1545897"}, {"ref": "hotrank/ai-camp-logistic-regression-titanic-homework", "kernel_id": "1663477"}, {"ref": "optimuschimp/titanic", "kernel_id": "1813523"}, {"ref": "sandeepreddytalluri/first-try", "kernel_id": "1511876"}, {"ref": "galenchen90/titanic-framework", "kernel_id": "1558501"}, {"ref": "galenchen90/ai-camp-logistic-regression-titanic", "kernel_id": "1681615"}, {"ref": "ranjanhunt/titanic-machine-learning-with-fastai", "kernel_id": "1886841"}, {"ref": "ranjanhunt/let-s-step-into-the-world-of-ml-and-ds-beginner", "kernel_id": "1873554"}, {"ref": "marouenbg/titanickernel", "kernel_id": "1636745"}, {"ref": "nikhiltjha/titanic", "kernel_id": "1472713"}, {"ref": "shinnosukekobayashi/work-titanic", "kernel_id": "1465359"}, {"ref": "satheeshrsm/classification-of-passenger", "kernel_id": "1745110"}, {"ref": "wwblovesvg/knn-2-titanic-w2l4-hw-wenbo-wang", "kernel_id": "1624930"}, {"ref": "andyyc/titanic-framework-5fdf9f", "kernel_id": "1561017"}, {"ref": "guwuca/titanic-framework-2e8ca5", "kernel_id": "1521615"}, {"ref": "springtree/titanic-framework-c96549", "kernel_id": "1536081"}, {"ref": "springtree/ai-camp-logistic-regression-titanic-homewor-e374cb", "kernel_id": "1632194"}, {"ref": "springtree/ai-camp-logistic-regression-titanic-homewor-1fc259", "kernel_id": "1632143"}, {"ref": "dadagiras/titanic-beginner-s-guide-with-sklearn-583926", "kernel_id": "1476344"}, {"ref": "swapnilbarwat/titanic-survival-prediction", "kernel_id": "1904230"}, {"ref": "forestknn/fork-of-titanic-framework-dd738f", "kernel_id": "1571425"}, {"ref": "kensho1729/a-comprehensive-solution-to-your-first-ml-problem", "kernel_id": "1475694"}, {"ref": "yatingyc/titanic-framework-bad54b", "kernel_id": "1538586"}, {"ref": "vineetk/titanic-test", "kernel_id": "1563071"}, {"ref": "johnshen1990/titanic-framework-8187bd", "kernel_id": "1555771"}, {"ref": "sakura0415/kernel-pclass-sex-age-fare", "kernel_id": "1482189"}, {"ref": "yosukekumasaka/basic-linear-reg", "kernel_id": "1869770"}, {"ref": "cindytong/titanic-practice-with-r-markdown", "kernel_id": "1525094"}, {"ref": "alfonsomiranda/titanic-starter-python-kernel", "kernel_id": "1753085"}, {"ref": "brkygngr/titanic-data-science-practice", "kernel_id": "1540719"}, {"ref": "hudanivy/ai-camp-logistic-regression-titanic-homework", "kernel_id": "1645099"}, {"ref": "hudanivy/aicamp-decision-tree-exercise-2", "kernel_id": "1632298"}, {"ref": "hudanivy/titanic-ninechapter", "kernel_id": "1522193"}, {"ref": "hudanivy/titanic-framework", "kernel_id": "1527734"}, {"ref": "jinghuang5213/ai-camp-logistic-regression-titanic-homewor-2b980f", "kernel_id": "1638932"}, {"ref": "jayeshbali/titanic-classifier", "kernel_id": "1741658"}, {"ref": "jayeshbali/titanic-data-science-solutions", "kernel_id": "1741622"}, {"ref": "easter3163/my-first-data-analysis-for-titanic", "kernel_id": "1542968"}, {"ref": "easter3163/very-simple-analysis-for-titanic", "kernel_id": "1694754"}, {"ref": "easter3163/eda-to-prediction", "kernel_id": "1853347"}, {"ref": "laharl/titanic-project-replication", "kernel_id": "1488497"}, {"ref": "harriakash/titanic-dataset-an-beginner-s-approach", "kernel_id": "1490990"}, {"ref": "regalwater/titanic-notebook", "kernel_id": "1541332"}, {"ref": "brayanarrietaalfaro/titanic-with-keras", "kernel_id": "1603678"}, {"ref": "sachat/titanic-random-forest", "kernel_id": "1783180"}, {"ref": "shuoshi/titanic-top-4-with-ensemble-modeling", "kernel_id": "1983143"}, {"ref": "klospascal/beginners-approach-random-forest-model-0-80", "kernel_id": "1728456"}, {"ref": "rahul1k/titanic-first-attempt", "kernel_id": "1710088"}, {"ref": "wujiazhong/titanic-surval-predction", "kernel_id": "1580098"}, {"ref": "sazack/titanic-survivor-prediction", "kernel_id": "1681896"}, {"ref": "mojolady/titanic-framework-hw", "kernel_id": "1560127"}, {"ref": "dbabs8/titanic-data-science-solutions-db", "kernel_id": "1542021"}, {"ref": "shindeshubham85/titanic-competition-dataset-prediction", "kernel_id": "1567443"}, {"ref": "shindeshubham85/titanic-dataset-using-keras", "kernel_id": "1610902"}, {"ref": "amasend/titanic-stacking-beginner-0-80861", "kernel_id": "1562384"}, {"ref": "romankondratiev/chill-intro-in-20-steps", "kernel_id": "1929481"}, {"ref": "romankondratiev/titanic-data-science-solutions", "kernel_id": "1929499"}, {"ref": "vaibhav2201/my-first-gp-in-r", "kernel_id": "1530443"}, {"ref": "shankyrox/titanic-shashank", "kernel_id": "1629655"}, {"ref": "abbracadabra/titan", "kernel_id": "1652584"}, {"ref": "mahonghui/titanic-survival-prediction", "kernel_id": "1604271"}, {"ref": "iherbert/titanic", "kernel_id": "1534567"}, {"ref": "salh786/ml1-predicting-survivor-on-the-titanic-v6-3", "kernel_id": "1884410"}, {"ref": "toshioakaneya/titanic-data-science-solutions", "kernel_id": "1534893"}, {"ref": "moonmaycry/dead-or-alive", "kernel_id": "1665394"}, {"ref": "yinglin123/using-r-begin-with-titanic", "kernel_id": "1610352"}, {"ref": "akaoni/simple-logistic-regression", "kernel_id": "1836208"}, {"ref": "akaoni/fork-of-simple-logistic-regression", "kernel_id": "1986084"}, {"ref": "fabiobar/titanic-survival-prediction-beginners", "kernel_id": "1816743"}, {"ref": "leite0407/titanic-experiencias-trees", "kernel_id": "1964403"}, {"ref": "leite0407/titanic-experiencias", "kernel_id": "1936897"}, {"ref": "gonnel/titanic-gbm-top-11-0-80382", "kernel_id": "1833249"}, {"ref": "leontham/titanic-survival-classification", "kernel_id": "1692026"}, {"ref": "bsvetchine/titanic-use-a-decision-tree-classifier", "kernel_id": "1977373"}, {"ref": "raffeyhassan/titanic-data-test", "kernel_id": "1670318"}, {"ref": "ishizaka/kernel32be1075a5", "kernel_id": "1971462"}, {"ref": "adhishk1/titanic-dataset-predictions", "kernel_id": "1987958"}, {"ref": "aamir306/titanic-machine-learning-from-disaster-master", "kernel_id": "1705201"}, {"ref": "allfiction/titanic-practice", "kernel_id": "1586809"}, {"ref": "duyminh1998/titanic-model", "kernel_id": "1652231"}, {"ref": "chaitanyapatil7/titanic-dataset-by-filtering-the-dataset", "kernel_id": "1841002"}, {"ref": "isabeltseng/titanic", "kernel_id": "1770860"}, {"ref": "abhishek2602/guide-to-titanic-machine-learning", "kernel_id": "1935420"}, {"ref": "joumanlin/jm-test-1", "kernel_id": "1655262"}, {"ref": "sonukumarsaw/fork-of-titanic-survivors-dataset", "kernel_id": "1784175"}, {"ref": "sonukumarsaw/titanic-survivors-dataset", "kernel_id": "1777232"}, {"ref": "erikebrown/titanic-dataframe-learning-from-disaster", "kernel_id": "1635607"}, {"ref": "nhlr21/complete-titanic-tutorial-with-ml-nn-ensembling", "kernel_id": "1759840"}, {"ref": "prevek18/titanic-survival-prediction", "kernel_id": "1691969"}, {"ref": "nikhilchaudhary2903/an-interactive-data-science-tutorial", "kernel_id": "1605024"}, {"ref": "nuaaty/titanic", "kernel_id": "1619802"}, {"ref": "youngdaniel/second-kernel-the-titanic-dataset", "kernel_id": "1686185"}, {"ref": "dmxich/an-interactive-data-science-tutorial-51a022", "kernel_id": "1609962"}, {"ref": "lunachi413/titanic-for-japanese-beginner", "kernel_id": "1665532"}, {"ref": "mfeijoo/mfejoo-first-kernel-titanic", "kernel_id": "1614686"}, {"ref": "jmourad100/titanicv1-lb-0-77990", "kernel_id": "1864270"}, {"ref": "walt123uk/fork-of-kernelb76e0ad73b", "kernel_id": "1909262"}, {"ref": "sedrak/titanic-survivals-with-age-prediction", "kernel_id": "1880281"}, {"ref": "rahulpalnitkar/titanic-eda-with-basic-predictive-modelling", "kernel_id": "1654885"}, {"ref": "mofurl/titanic", "kernel_id": "1646867"}, {"ref": "kanakroy/titanic-prediction-using-random-forests", "kernel_id": "1630640"}, {"ref": "danielsaromo/titanic-ml-survival-predictor-with-xgb", "kernel_id": "1859180"}, {"ref": "dexuanchoo/titanic-dataset-visualization-and-prediction", "kernel_id": "1640199"}, {"ref": "trond65/titanic-data-analysis-beginner-friendly", "kernel_id": "1635188"}, {"ref": "yashwanthyk/titanic-dataset", "kernel_id": "1656761"}, {"ref": "andredanielvolschenk/titanic-tutorial-for-beginners", "kernel_id": "1913868"}, {"ref": "vaibhavsikka/titanic-disaster-my-first-submission", "kernel_id": "1934305"}, {"ref": "lakshyauttrani/titanic-xgboost", "kernel_id": "1668424"}, {"ref": "pallabee/getting-started-with-titanic", "kernel_id": "1645995"}, {"ref": "mumulin/titanic-survival-prediction-start-to-end-python", "kernel_id": "1678998"}, {"ref": "gcheung1/titanic-random-forest-xgb-neural-nets", "kernel_id": "1878421"}, {"ref": "rzhade34/big-data-stuff", "kernel_id": "1852355"}, {"ref": "juancarloscamara/my-first-competition-titanic", "kernel_id": "1802900"}, {"ref": "rakeshea/titanic", "kernel_id": "1856814"}, {"ref": "jatintayal/sinking-the-titanic", "kernel_id": "1891261"}, {"ref": "tph5595/rf-with-one-hot-and-imputer", "kernel_id": "1753664"}, {"ref": "khajan/titanic-classification-problem-using-ensembles", "kernel_id": "1829474"}, {"ref": "djablonski/cs-100-ml-with-the-titanic-dataset-21cd58", "kernel_id": "1739103"}, {"ref": "esdarklink/cs-100-ml-with-the-titanic-dataset-cb0c99", "kernel_id": "1738971"}, {"ref": "drattraymattis/cs-100-ml-with-the-titanic-dataset-e80d8b", "kernel_id": "1739337"}, {"ref": "cdharma/cs-100-ml-with-the-titanic-dataset-19acc8", "kernel_id": "1739039"}, {"ref": "tacostahern/cs-100-ml-with-the-titanic-dataset", "kernel_id": "1682608"}, {"ref": "rzetto/cs-100-ml-with-the-titanic-dataset", "kernel_id": "1701286"}, {"ref": "bahmad1/fork-of-cs-100-ml-with-the-titanic-dataset-472f6f", "kernel_id": "1754871"}, {"ref": "mlgameng/cs-100-ml-with-the-titanic-dataset", "kernel_id": "1739038"}, {"ref": "iqbal911arrafii/newbie-step-on-solving-titanic-probelm", "kernel_id": "1992741"}, {"ref": "takeshikondo/neural-network-mlp-for-titanic", "kernel_id": "1701941"}, {"ref": "dochad/titanic-beginner-coding-kernel", "kernel_id": "1779373"}, {"ref": "plsms21/4b-exercise-partial-dependence-plots", "kernel_id": "1827559"}, {"ref": "plsms21/4a-partial-dependence-plots", "kernel_id": "1805614"}, {"ref": "aquelle/titanic-survival-predictions", "kernel_id": "1963545"}, {"ref": "dollyborade/titanic-machine-learning-work", "kernel_id": "1735402"}, {"ref": "meetnandu05/titanic-problem-using-logistic-regression", "kernel_id": "1736700"}, {"ref": "ghannay/women-and-children-first-captain", "kernel_id": "1926251"}, {"ref": "ismailvanak/titanic-machine-learning", "kernel_id": "1861963"}, {"ref": "agtadarsh/titanic-forreg", "kernel_id": "1769595"}, {"ref": "agtadarsh/logistic-regression-titanic-dataset", "kernel_id": "1838726"}, {"ref": "keremaltay/titanic-sketchings", "kernel_id": "1779947"}, {"ref": "kameshtj/titanic", "kernel_id": "1913549"}, {"ref": "devoroberts/titanic-survival-analysis", "kernel_id": "1881417"}, {"ref": "shokroll/titanic-data-set-analysis-and-visualization", "kernel_id": "1879727"}, {"ref": "sampadab17/titanic-survival-using-gbm", "kernel_id": "1771168"}, {"ref": "josephlam2018/titanic001", "kernel_id": "1777122"}, {"ref": "lucasmoretto/titanic-study-of-variables-and-aggregates", "kernel_id": "1922269"}, {"ref": "hmiyamoto/titanic-183-dadm-topic-8", "kernel_id": "1829160"}, {"ref": "badouwan/data-exploration-and-visualisation-for-beginner", "kernel_id": "1830797"}, {"ref": "yuanjiez/my-first-kernel", "kernel_id": "1804860"}, {"ref": "supchanda08kol50/titanic-preliminary-by-supratik", "kernel_id": "1883036"}, {"ref": "hackerhari/svm-bagging-with-age-prediction", "kernel_id": "1877479"}, {"ref": "ksdangwal/titanic-survivor-predction", "kernel_id": "1912816"}, {"ref": "nikkisharma536/titanic-exploration-and-visualisation", "kernel_id": "1853145"}, {"ref": "xdms85/titanic-data-machine-learning", "kernel_id": "1933249"}, {"ref": "frtgnn/a-simple-guide-to-titanic-survival-classifier", "kernel_id": "1995435"}, {"ref": "sanjoybijoy/titanic-ml-prediction-using-randomforest", "kernel_id": "1994705"}, {"ref": "pawank93/titanic-disaster-analysis", "kernel_id": "1832832"}, {"ref": "llcmolal/titanic-by-a-beginner", "kernel_id": "1837929"}, {"ref": "huma97/titanic-andrew", "kernel_id": "1842184"}, {"ref": "mirosh111/titanic-mirosh", "kernel_id": "1833262"}, {"ref": "phenazepam/kernel573d34cd61", "kernel_id": "1859567"}, {"ref": "nshrest/titanic-a-very-first-step-54f223", "kernel_id": "1983028"}, {"ref": "alucard1177/titanic-machine-learning", "kernel_id": "1842284"}, {"ref": "luizbotega/titanic", "kernel_id": "1959189"}, {"ref": "dandie/kernelbd6d5ae937", "kernel_id": "1881104"}, {"ref": "gngnggnn1/kernel734942f0ca", "kernel_id": "1924541"}, {"ref": "avinashravi96/titanic-by-a-beginner", "kernel_id": "1848947"}, {"ref": "marioxx/titanic-prediction", "kernel_id": "1887154"}, {"ref": "philsk/titanic", "kernel_id": "1854899"}, {"ref": "nina1603/my-titanic", "kernel_id": "1858393"}, {"ref": "elenaermakova/kernelcc242d2b67", "kernel_id": "1858456"}, {"ref": "bengwalt/titanic-decision-tree-competition", "kernel_id": "1913350"}, {"ref": "rickgeng97/titanic-dataset-analysis", "kernel_id": "1912771"}, {"ref": "ashraom/competition", "kernel_id": "1899361"}, {"ref": "deepaammu1997/bagging-and-boosting-titanic-passengers-f4d7ef", "kernel_id": "1881666"}, {"ref": "davijit868/titanic", "kernel_id": "1886177"}, {"ref": "kboyln/titanic", "kernel_id": "1912378"}, {"ref": "diegoperezsalas/titanic-example", "kernel_id": "1952487"}, {"ref": "ksarafrazi/titanicdatavisualization", "kernel_id": "1949412"}, {"ref": "ksarafrazi/titaniclogisticregression", "kernel_id": "1949763"}, {"ref": "ksarafrazi/titanicrandomforest", "kernel_id": "1965820"}, {"ref": "ksarafrazi/titanicknn", "kernel_id": "1965954"}, {"ref": "lauraholland/this-is-laura-s-notebook-titanic-version", "kernel_id": "1894545"}, {"ref": "christopherclark98/chris-s-notebook-titanic-version", "kernel_id": "1894534"}, {"ref": "mabernathy5/leo-dicaprio-should-win-an-oscar", "kernel_id": "1894517"}, {"ref": "carolinamunoznogales/carolina-titanic-version", "kernel_id": "1894530"}, {"ref": "mflynch/this-is-maiti-s-notebook-titanic-version", "kernel_id": "1894538"}, {"ref": "tetsuyazama/first-titanic", "kernel_id": "1949461"}, {"ref": "whateverandrew/titanic-first-try", "kernel_id": "1914931"}, {"ref": "hanirifai/titanic-compute", "kernel_id": "1905023"}, {"ref": "niem16a/nikitina-elizaveta", "kernel_id": "1912677"}, {"ref": "vloden/titanic", "kernel_id": "1908570"}, {"ref": "kartikay5/titanic", "kernel_id": "1914443"}, {"ref": "alicewaterhouse/first-titanic-submission", "kernel_id": "1977624"}, {"ref": "raghavmehta22/titanic-survivor-predictor", "kernel_id": "1981032"}, {"ref": "grantsw82/titanic-comp", "kernel_id": "1997296"}, {"ref": "younginkim/kernel81d0c41a06", "kernel_id": "1973011"}, {"ref": "rahulkarnik/titanic-top-4-with-ensemble-modeling", "kernel_id": "1981654"}, {"ref": "dsklenar/kerneldce37ceb8d", "kernel_id": "1982900"}, {"ref": "szelidvihar/titanic-beginner-kernel-for-experimenting", "kernel_id": "1987765"}, {"ref": "joedumoulin/joe-titanic", "kernel_id": "2656916"}, {"ref": "lemonad/my-first-titanic", "kernel_id": "2891083"}, {"ref": "dex314/titanic-eda-and-random-forest", "kernel_id": "2659190"}, {"ref": "dex314/auto-feateng-for-titanic-data-forked", "kernel_id": "2712617"}, {"ref": "predact/easy-r-titanic-predictive-model", "kernel_id": "2501800"}, {"ref": "nxpnsv/titanic-v3", "kernel_id": "2075533"}, {"ref": "pageman/experimenting-with-numpy", "kernel_id": "2553632"}, {"ref": "michiexile/kaggle-in-class-demonstration", "kernel_id": "2751777"}, {"ref": "syleeie/jetbrain-day-kr-2018-titanic-prediction", "kernel_id": "2141451"}, {"ref": "shantanusharma/data-scientist-s-toolbox", "kernel_id": "2018708"}, {"ref": "udaygurugubelli/titanic-with-tensorflow-boosted-trees-0-88", "kernel_id": "2480039"}, {"ref": "kashnitsky/mlcourse-ai-practice-1-pandas-and-titanic", "kernel_id": "2063590"}, {"ref": "hamelg/intro-to-r-part-5-vectors", "kernel_id": "2826358"}, {"ref": "hamelg/intro-to-r-part-3-atomic-data-types", "kernel_id": "2774433"}, {"ref": "hamelg/intro-to-r-part-4-variables", "kernel_id": "2784208"}, {"ref": "hamelg/intro-to-r-index", "kernel_id": "2765044"}, {"ref": "hamelg/intro-to-r-part-2-r-arithmetic", "kernel_id": "2766558"}, {"ref": "hamelg/intro-to-r-part-1-getting-started", "kernel_id": "2701619"}, {"ref": "hamelg/intro-to-r-part-8-data-frames", "kernel_id": "2852075"}, {"ref": "hamelg/intro-to-r-part-9-factors", "kernel_id": "2864380"}, {"ref": "hamelg/intro-to-r-part-10-reading-and-writing-data", "kernel_id": "2867644"}, {"ref": "hamelg/intro-to-r-part-7-lists", "kernel_id": "2850525"}, {"ref": "hamelg/intro-to-r-part-6-matrices", "kernel_id": "2838372"}, {"ref": "hamelg/intro-to-r-part-11-control-flow", "kernel_id": "2880980"}, {"ref": "hamelg/intro-to-r-part-12-functions", "kernel_id": "2914295"}, {"ref": "hamelg/intro-to-r-part-13-exploring-and-preparing-data", "kernel_id": "2925938"}, {"ref": "hamelg/intro-to-r-part-14-working-with-character-strings", "kernel_id": "2937121"}, {"ref": "hamelg/intro-to-r-part-16-dealing-with-dates", "kernel_id": "2959549"}, {"ref": "hamelg/intro-to-r-part-15-preparing-numeric-data", "kernel_id": "2949558"}, {"ref": "yuqingxue/interactive-dashboards-yuqing-xue", "kernel_id": "2104067"}, {"ref": "zhuxiaofengwww/titanic-framework", "kernel_id": "2296503"}, {"ref": "alosat/titanic-eda-ctree", "kernel_id": "2665228"}, {"ref": "hearsid/introduction-to-ensembling-stacking-in-python", "kernel_id": "2503453"}, {"ref": "jeevprabnivash/nivi-titanic-analysis", "kernel_id": "2784214"}, {"ref": "dhanushkishore/a-self-learning-tic-tac-toe-program", "kernel_id": "2081358"}, {"ref": "javierrubio/easy-seaborn-guide-for-eda", "kernel_id": "2681160"}, {"ref": "baranikumar/titanic-survival-predictions-beginner", "kernel_id": "2657027"}, {"ref": "abedkhooli/fastai-titanic", "kernel_id": "2206083"}, {"ref": "vishalchangrani/titanic-logistic-regression", "kernel_id": "2904707"}, {"ref": "santhoshram/first-notebook", "kernel_id": "2098945"}, {"ref": "sherrytan/predict-survivors-from-titanic-data-set", "kernel_id": "2270518"}, {"ref": "snehal1409/titanic-survivors", "kernel_id": "2959675"}, {"ref": "davecahill/accuracy-drop", "kernel_id": "2725947"}, {"ref": "lucisdp/kernel261c6cbd63", "kernel_id": "2294937"}, {"ref": "radulfr/titanic-performance-and-hyperparameter", "kernel_id": "2116967"}, {"ref": "radulfr/titanic-example-superv-classif-reg", "kernel_id": "2004879"}, {"ref": "rp1611/step-by-step-tutorial-for-beginners", "kernel_id": "2064952"}, {"ref": "rp1611/the-deep-learning-tutorial-90-acc-on-training", "kernel_id": "2167459"}, {"ref": "rp1611/visualization-deep-learning-route-to-top-10", "kernel_id": "2147981"}, {"ref": "alipala/simple-data-imputation", "kernel_id": "2124441"}, {"ref": "delayedkarma/titanic-xgboost-eli5", "kernel_id": "2355435"}, {"ref": "delayedkarma/grid-search-and-rf-lb-0-80861-top-10", "kernel_id": "2304442"}, {"ref": "delayedkarma/basic-eda-feature-engineering-and-modeling", "kernel_id": "2302192"}, {"ref": "delayedkarma/titanic-h2o-automl", "kernel_id": "2421064"}, {"ref": "yuanic/bax452-hw1-titanic", "kernel_id": "2657254"}, {"ref": "jy93630/feature-importance-partial-dependence-plot", "kernel_id": "2480982"}, {"ref": "laimonas/titanic-v2", "kernel_id": "2339367"}, {"ref": "aayush26/titanic-with-age-only-first-attempt-with-stacking", "kernel_id": "2830709"}, {"ref": "vabatista/estudo-de-caso-tic-sobreviventes-do-titanic", "kernel_id": "2419671"}, {"ref": "avikpaul4u/titanic-machine-learning-in-r", "kernel_id": "2411624"}, {"ref": "sorrowise/visualize-the-importance-of-features", "kernel_id": "2137917"}, {"ref": "jarpit83/titanic", "kernel_id": "2159932"}, {"ref": "bertslonim/titanic-predictions", "kernel_id": "2871942"}, {"ref": "manishrai/titanic-eda", "kernel_id": "2005724"}, {"ref": "khanzo/titanic-0-78947", "kernel_id": "2253275"}, {"ref": "zmey56/second-titanic", "kernel_id": "2893305"}, {"ref": "bhavesh09/sample", "kernel_id": "2648203"}, {"ref": "ace007/learning-on-titanic", "kernel_id": "2393589"}, {"ref": "giggerota/my-titanic-gradientboostingclassifier", "kernel_id": "2507755"}, {"ref": "krishnamouli/kernelafd2e8ddf7", "kernel_id": "2609170"}, {"ref": "saiadityag/titanic-survival-prediction-demon9996", "kernel_id": "2571245"}, {"ref": "mkgiitr/titanic-survival-prediction", "kernel_id": "2469085"}, {"ref": "nodikows/titanic-prediction", "kernel_id": "2941870"}, {"ref": "richarde/titanic-decision-tree-methods-tutorial", "kernel_id": "2432980"}, {"ref": "shadabhussain/titanic", "kernel_id": "2071534"}, {"ref": "rbizoi/predict-survivors-of-titanic", "kernel_id": "2488571"}, {"ref": "huaiyu/logistic-regression", "kernel_id": "2986121"}, {"ref": "rajashri/titanic-dataset-analysis-level-2", "kernel_id": "2059616"}, {"ref": "rajashri/titanic-exploration", "kernel_id": "2043904"}, {"ref": "doradora09/titanic-hands-on-20190209-at-pydatafukuoka", "kernel_id": "2858948"}, {"ref": "sandeep8530/keras-on-titanic-deep-learning-classification", "kernel_id": "2995435"}, {"ref": "osbornep/a-complete-intro-to-data-science-in-python", "kernel_id": "2744586"}, {"ref": "gpreda/tutorial-for-classification", "kernel_id": "2249093"}, {"ref": "omar16100/titanic-survival-prediction", "kernel_id": "2394781"}, {"ref": "neuronq/simple-random-forest-feat-importance-eda-etc", "kernel_id": "2684160"}, {"ref": "neuronq/basic-eda-feature-importance-w-rf", "kernel_id": "2744411"}, {"ref": "neuronq/a-simple-feature-engineering-workflow", "kernel_id": "2744126"}, {"ref": "neuronq/simplest-imaginable-decision-tree-model", "kernel_id": "2086716"}, {"ref": "piertopier/titanic-pier-the-basic-one", "kernel_id": "2261705"}, {"ref": "yclaudel/titanic-train-random-forest-with-a-gridsearchcv", "kernel_id": "2432084"}, {"ref": "daff44/titanic-with-keras", "kernel_id": "2941482"}, {"ref": "lezhili/vis-ds", "kernel_id": "2093587"}, {"ref": "rishikhanna/model-selection", "kernel_id": "2569305"}, {"ref": "rishikhanna/titanic-dataexploration1", "kernel_id": "2544097"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "ashishpatel26/advance-pandas-tricks-and-techniques", "kernel_id": "2326628"}, {"ref": "ashishpatel26/interpretability-of-ml-black-box-model-iml", "kernel_id": "2993104"}, {"ref": "jburch/titanic-machine-learning-beginner-s-tutorial", "kernel_id": "2446261"}, {"ref": "alexjslessor/my-titanic", "kernel_id": "2624301"}, {"ref": "rajesh1158/logistic-regression-on-titanic-data-set", "kernel_id": "2006582"}, {"ref": "sarthakpawar/survival-prediction-using-knn-top-10", "kernel_id": "2792182"}, {"ref": "nagulapatianusha369/myfirst-code", "kernel_id": "2579663"}, {"ref": "hamzael1/titanic-2-2-prediction-with-random-forest", "kernel_id": "2791297"}, {"ref": "hamzael1/titanic-1-2-exploration-pre-processing", "kernel_id": "2748732"}, {"ref": "baky0905/titanic-competition", "kernel_id": "2273938"}, {"ref": "sabasiddiqi/classification-ensemble-methods-trees", "kernel_id": "2444244"}, {"ref": "sidm2009/titanic-competition", "kernel_id": "2103529"}, {"ref": "nathansmit/titanic-test", "kernel_id": "2770033"}, {"ref": "danielv7/basic-approach-for-top-3-in-the-titanic", "kernel_id": "2651572"}, {"ref": "carlossouza/feature-engineering-ensembles", "kernel_id": "2085020"}, {"ref": "stevengolo/titanic-machine-learning-from-disaster", "kernel_id": "2182904"}, {"ref": "donghaoqiao/titanic-prediction-with-python-top-2", "kernel_id": "2313259"}, {"ref": "currypurin/kaggle-ch5-3-4", "kernel_id": "2769673"}, {"ref": "currypurin/lightgbm-titanic", "kernel_id": "2924026"}, {"ref": "vincentlugat/titanic-data-analysis-lgbm-0-82296", "kernel_id": "2751817"}, {"ref": "vincentlugat/titanic-neural-networks-keras-81-8", "kernel_id": "2945281"}, {"ref": "vincentlugat/200-lines-randomized-search-lgbm-82-3", "kernel_id": "2882103"}, {"ref": "lunature/presentation-20181107", "kernel_id": "2044356"}, {"ref": "arunkumarramanan/hands-on-ml-with-scikit-learn-and-tensorflow-tbu", "kernel_id": "2379569"}, {"ref": "arunkumarramanan/tensorflow-tutorial-and-housing-price-prediction", "kernel_id": "2379358"}, {"ref": "arunkumarramanan/practical-machine-learning-with-pytorch-tbu", "kernel_id": "2371261"}, {"ref": "arunkumarramanan/awesome-ds-for-beginners-with-titanic-exploration", "kernel_id": "2290269"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "arunkumarramanan/awesome-deep-learning-with-cnn-mnist-classifier", "kernel_id": "2272643"}, {"ref": "arunkumarramanan/awesome-ml-and-text-classification-movie-reviews", "kernel_id": "2272874"}, {"ref": "arunkumarramanan/awesome-ml-frameworks-and-mnist-classification", "kernel_id": "2270215"}, {"ref": "arunkumarramanan/data-science-python-fuel-efficiency-prediction", "kernel_id": "2272905"}, {"ref": "arunkumarramanan/data-science-in-r-and-titanic-survival-prediction", "kernel_id": "2272949"}, {"ref": "arunkumarramanan/machine-learning-toolkits-awesome-ml-resources", "kernel_id": "2518488"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "lavinavrovine/kisk-1", "kernel_id": "2141721"}, {"ref": "hiroshi27/decision-tree-for-pclass-sex-age-fare", "kernel_id": "2523247"}, {"ref": "ketankvishwakarma/the-titanic-problem", "kernel_id": "2172577"}, {"ref": "kkumma/titanic-analysis", "kernel_id": "2646848"}, {"ref": "yliu40/ai-camp-logistic-regression-titanic-homework", "kernel_id": "2483457"}, {"ref": "yliu40/titanic-framework-dc7998", "kernel_id": "2395717"}, {"ref": "gunbl4d3/eda-logistic-regression", "kernel_id": "2327871"}, {"ref": "vjoshi1986/titanic-v1", "kernel_id": "2465887"}, {"ref": "vjoshi1986/titanic-v2-featureengg", "kernel_id": "2481353"}, {"ref": "justinbosscher/titanic", "kernel_id": "2184413"}, {"ref": "justinbosscher/fork-of-fork-of-randomforestclassification-extract", "kernel_id": "2331613"}, {"ref": "justinbosscher/randomforestclassification", "kernel_id": "2274494"}, {"ref": "justinbosscher/fork-of-randomforestclassification-extract-decks", "kernel_id": "2274647"}, {"ref": "justinbosscher/fork-of-mlpclassifier-pulled-titles", "kernel_id": "2238774"}, {"ref": "justinbosscher/titanic-k-nn-back-to-cv-gs-correct-avg", "kernel_id": "2230100"}, {"ref": "justinbosscher/k-nn-correct-avg", "kernel_id": "2230960"}, {"ref": "justinbosscher/mlpclassifier", "kernel_id": "2231168"}, {"ref": "justinbosscher/fork-of-fork-of-titanic-crossvalidation-gridse", "kernel_id": "2231286"}, {"ref": "justinbosscher/fork-of-titanic-k-nn-back-to-cv-gs", "kernel_id": "2221603"}, {"ref": "justinbosscher/titanic-k-nn", "kernel_id": "2209823"}, {"ref": "justinbosscher/fork-of-titanic-crossvalidation-gridsearch", "kernel_id": "2208356"}, {"ref": "bidyutchanda/titanic-dataset", "kernel_id": "2233279"}, {"ref": "davamix/titanic-adaboost", "kernel_id": "2488598"}, {"ref": "ho2708/titanic-survivor-forecast-sample1", "kernel_id": "2455469"}, {"ref": "vijayapotturu/titanic-prediction-with-r", "kernel_id": "2557645"}, {"ref": "mauricef/titanic", "kernel_id": "2767015"}, {"ref": "liumeilin/1-titanic", "kernel_id": "2579852"}, {"ref": "icwangjimmy/titanic-data-science-solution-1-jimmy-modified", "kernel_id": "2586412"}, {"ref": "icwangjimmy/titanic-data-science-solution-2-jimmy-modified", "kernel_id": "2702309"}, {"ref": "saurabhpal97/catboost-for-titanic-dataset", "kernel_id": "2506487"}, {"ref": "rishabhkumar/pipeline-for-classification", "kernel_id": "2043570"}, {"ref": "raynardj/titanic-model-a-lazy-name-obviously", "kernel_id": "2692201"}, {"ref": "southman/pca-vs-mean-encoding", "kernel_id": "2219537"}, {"ref": "ricemath25/first-titanic-solution-with-hyper-tuned-rfc", "kernel_id": "2187429"}, {"ref": "philipg/logistic-regression-eda-77-svm-78", "kernel_id": "2882130"}, {"ref": "shashank74/titanic-disaster-data-exploration-and-modelling", "kernel_id": "2969699"}, {"ref": "antoinekrajnc/titanic-stacking", "kernel_id": "2676905"}, {"ref": "antoinekrajnc/votingc-classification-on-titanic", "kernel_id": "2495955"}, {"ref": "bluephoenix/titanic-is-sinking-bagimputed-gbm", "kernel_id": "2533290"}, {"ref": "srikanthnuka/titanic-not-all-family-specified-on-boarded", "kernel_id": "2405808"}, {"ref": "resulcaliskan/eda-logistic-regression-on-titanic-data-2019", "kernel_id": "2767493"}, {"ref": "citrahsagala/titanic-prediction", "kernel_id": "2057616"}, {"ref": "diegomrod/my-road-to-1-in-progress", "kernel_id": "2610581"}, {"ref": "welcometopiyush/titanic-analysis-using-various-models", "kernel_id": "2954235"}, {"ref": "hamhochoi/titanic-not-add-more-feature", "kernel_id": "2470547"}, {"ref": "twlang/catboost-vs-xgboost", "kernel_id": "2505575"}, {"ref": "anupammajhi/my-first-try-at-titanic-challenge", "kernel_id": "2179869"}, {"ref": "bluefox9/titanic-survival-analysis", "kernel_id": "2971507"}, {"ref": "shamoool/titanic-ml-a-story-of-survival-top-16", "kernel_id": "2018633"}, {"ref": "noahgift/complete-beginner-your-first-titanic-submi-0e7343", "kernel_id": "2605206"}, {"ref": "noahgift/complete-beginner-your-first-titanic-submi-dd851c", "kernel_id": "2613426"}, {"ref": "egregori/simple-feature-engineering", "kernel_id": "2138505"}, {"ref": "itsmesunil/titanic-survival-prediction-eda", "kernel_id": "2924636"}, {"ref": "lucky94/titanic-solution", "kernel_id": "2013984"}, {"ref": "tigrex161/titanic-survivors", "kernel_id": "2473390"}, {"ref": "manusantana/kaggle-for-begginers-titanic", "kernel_id": "2645366"}, {"ref": "adeprince3/titanic-introductory-kaggle-workflow", "kernel_id": "2951138"}, {"ref": "anandsiddharth/titanic-noob-solution", "kernel_id": "2365731"}, {"ref": "dromosys/fast-ai-titanic", "kernel_id": "2446576"}, {"ref": "cbeville/my-titanic", "kernel_id": "2927519"}, {"ref": "brekhnaa/titanic-learning-from-disaster", "kernel_id": "2954742"}, {"ref": "ar2017/titanic-end-to-end-ml-workflow-top-7", "kernel_id": "2773958"}, {"ref": "ankitbansal06/titanic-pridiction", "kernel_id": "2259294"}, {"ref": "oindrilasen/what-if-i-had-boarded-titanic", "kernel_id": "2926081"}, {"ref": "skiplik/my-titanic-try", "kernel_id": "2038144"}, {"ref": "acaciopassos/titanic-survivors-prediction", "kernel_id": "2012125"}, {"ref": "crater/titanic-first-kernel", "kernel_id": "2220904"}, {"ref": "pepperz/titanic-survival-analysis-using-r", "kernel_id": "2734238"}, {"ref": "rautopia/onde-est-o-meu-arquivo-de-sa-da", "kernel_id": "2093394"}, {"ref": "rautopia/primeiros-passos-titanic", "kernel_id": "2055401"}, {"ref": "nishankmagoo/learn-machine-learning-from-scratch-nishank-magoo", "kernel_id": "2423872"}, {"ref": "filwaitman/80-accuracy-simple-and-non-overfitting-model", "kernel_id": "2188260"}, {"ref": "hosnimansour/isamm-workshop", "kernel_id": "2370562"}, {"ref": "lazybilla/titanic", "kernel_id": "2509458"}, {"ref": "shiyugong/titanic-predict-survival-using-ml", "kernel_id": "2654526"}, {"ref": "dhvandenakker/titanic", "kernel_id": "2270033"}, {"ref": "nishprds/titanic-survival-classification-problem", "kernel_id": "2374614"}, {"ref": "manishrnair/titanic-survival-prediction-using-xgboost", "kernel_id": "2823138"}, {"ref": "darkenwei/titanic-r", "kernel_id": "2626513"}, {"ref": "canid56/your-first-kaggle", "kernel_id": "2731539"}, {"ref": "grooda/random-forest-with-foreign-names", "kernel_id": "2115021"}, {"ref": "kfadl25/titanic-ex", "kernel_id": "2753589"}, {"ref": "vprovv/sample-kernel", "kernel_id": "2102409"}, {"ref": "kvsivasankar/titanic-survival-model", "kernel_id": "2201616"}, {"ref": "anisayari/your-1st-data-science-project-simple-explanation", "kernel_id": "2817480"}, {"ref": "coderiderviru/titanic", "kernel_id": "2533277"}, {"ref": "ajalnine/titanic-keras-vs-lightgbm-vs-catboost-vs-xgboost", "kernel_id": "2731378"}, {"ref": "smit2812/introduction-to-ensembling-stacking-in-pyth-a08920", "kernel_id": "2003829"}, {"ref": "hmshreyas7/titanic-who-survived", "kernel_id": "2139758"}, {"ref": "kevinyi/titanic-for-beginers", "kernel_id": "2957922"}, {"ref": "hozler/outlier-detection-and-removal", "kernel_id": "2290428"}, {"ref": "eleeka/ml-on-titanic-dataset", "kernel_id": "2454475"}, {"ref": "wanngide/titanic-2", "kernel_id": "2439671"}, {"ref": "prekshap24/kernel9ee641ca71", "kernel_id": "2496729"}, {"ref": "rheapark/kernel6e744b8676", "kernel_id": "2946771"}, {"ref": "kalkotivinay/titanic-data-science-solutions", "kernel_id": "2844351"}, {"ref": "jepupu/titanic-preprocessing-decision-tree", "kernel_id": "2504119"}, {"ref": "jepupu/titanic-preprocessing-prediction", "kernel_id": "2505096"}, {"ref": "jepupu/fork-of-titanic-preprocessing-nn", "kernel_id": "2506685"}, {"ref": "rachel115/xgboost-exercise", "kernel_id": "2095801"}, {"ref": "sg2308/titanic-data-set-with-feature-engineering-xgboost", "kernel_id": "2688259"}, {"ref": "v9runv/titainic-excercise", "kernel_id": "2910775"}, {"ref": "giteshj/titanic-survival-python-ml-workflow", "kernel_id": "2724631"}, {"ref": "haftom/titanic", "kernel_id": "2663946"}, {"ref": "arshadgeek/titanic-py", "kernel_id": "2116100"}, {"ref": "arshadgeek/titanic2-py", "kernel_id": "2123802"}, {"ref": "sinansonmez35/survival-of-titanic-passengers-with-knn", "kernel_id": "2207614"}, {"ref": "fallsit/ml-2-4-partial-dependence-plots", "kernel_id": "2621260"}, {"ref": "mayurgiri/titanic", "kernel_id": "2060994"}, {"ref": "anjalichoudhary12/step-by-step-solving-titanic-problem", "kernel_id": "2124226"}, {"ref": "rbsundar/titanic-data-analysis", "kernel_id": "2167269"}, {"ref": "amcgregor/dt-and-rf-using-numbers", "kernel_id": "2099834"}, {"ref": "yfyangd/pandas-tutorials", "kernel_id": "2412984"}, {"ref": "anirbanshaw24/titanic-keras-r", "kernel_id": "2912952"}, {"ref": "samuelhei/titanic-logistic-regression", "kernel_id": "2352708"}, {"ref": "maheshas88/titanic-4-classifier-voting-with-gridsearchcv", "kernel_id": "2318443"}, {"ref": "whitehat117/decision-tree-classifier-sci-kit-learn", "kernel_id": "2364360"}, {"ref": "whitehat117/titanic-challenge-data-analysis-and-engineering", "kernel_id": "2935801"}, {"ref": "jmsarabia8/introducing-the-titanic-a-learning-exercise", "kernel_id": "2448359"}, {"ref": "saptarsi96/titanic-prediction", "kernel_id": "2977937"}, {"ref": "jamesleslie/titanic-random-forest-grid-search", "kernel_id": "2159778"}, {"ref": "jamesleslie/titanic-eda-wrangling-imputation", "kernel_id": "2161599"}, {"ref": "emrecalisir/very-basic-sequence-model-with-keras", "kernel_id": "2370950"}, {"ref": "shivam7441/titanic-neural-network-basic", "kernel_id": "2092683"}, {"ref": "madshutt/titanic3", "kernel_id": "2127342"}, {"ref": "madshutt/titanic", "kernel_id": "2126724"}, {"ref": "ezzzio/titanic-survival-predictions-using-xgboost", "kernel_id": "2672559"}, {"ref": "rajdeep21/titanic-problem-data-analysis-part-1", "kernel_id": "2940030"}, {"ref": "rajdeep21/titanic-visual-data-analysis", "kernel_id": "2950904"}, {"ref": "atharva1998/notebook-for-practice", "kernel_id": "2623335"}, {"ref": "maxl11/svm-demo", "kernel_id": "2776536"}, {"ref": "maxl11/neural-network-demo", "kernel_id": "2776208"}, {"ref": "jeetranjeet619/titanic-xgboost-example-in-r", "kernel_id": "2277644"}, {"ref": "jeetranjeet619/titanic-dataset-play-around-in-r", "kernel_id": "2211404"}, {"ref": "krishjoker/cluster-analysis-for-beginners", "kernel_id": "2396303"}, {"ref": "krishjoker/logistic-regression-for-beginners", "kernel_id": "2775845"}, {"ref": "sumitsaxena23/titanic-ss-1", "kernel_id": "2154706"}, {"ref": "jaychitransh007/partial-dependence-plots", "kernel_id": "2094287"}, {"ref": "iavinas/titanic", "kernel_id": "2732389"}, {"ref": "gijick2107/titanic-a-survival-prediction-problem", "kernel_id": "2838280"}, {"ref": "divan0/using-svm-knn-logistic-reg-on-titanic-data", "kernel_id": "2586806"}, {"ref": "multiw/exploring-the-titanic-dataset-in-progress", "kernel_id": "2065260"}, {"ref": "dspudwill/titanic-log-reg-analysis", "kernel_id": "2157589"}, {"ref": "abhishekringsia/titanic-notebook", "kernel_id": "2203455"}, {"ref": "yyyzzzwww/automl-for-titanic", "kernel_id": "2286338"}, {"ref": "tsarspb/testing-pattern-discovery", "kernel_id": "2032014"}, {"ref": "kei999/titanictest", "kernel_id": "2238866"}, {"ref": "matiasmgonzalez/kernel-nn-aproach", "kernel_id": "2122980"}, {"ref": "gauravadhikari/playing-with-titanic-dataset", "kernel_id": "2953763"}, {"ref": "econdata/machine-learning-on-titanic-dataset", "kernel_id": "2700366"}, {"ref": "econdata/titanic-machine-learning-from-disaster", "kernel_id": "2700176"}, {"ref": "econdata/titanic-datasets-ml-with-r-journey-to-top-1", "kernel_id": "2700460"}, {"ref": "tata1983/titanic-disaster-just-for-laughs", "kernel_id": "2189306"}, {"ref": "crystyfay/titanic-framework", "kernel_id": "2321660"}, {"ref": "stefanjaro/predicting-survival-on-the-titanic", "kernel_id": "2487046"}, {"ref": "vincentkreutz/titanic-top-score-made-easy", "kernel_id": "2128304"}, {"ref": "koushikmuthakana/titanic-eda-prediction", "kernel_id": "2012677"}, {"ref": "arwenhu/data-exploration-titancic", "kernel_id": "2501346"}, {"ref": "sumitmaan/titanic-disaster-deep-analysis-and-modeling", "kernel_id": "2622128"}, {"ref": "alexeydudchenko/titanic-1", "kernel_id": "2727989"}, {"ref": "shivamb/semi-supervised-classification-using-autoencoders", "kernel_id": "2599112"}, {"ref": "clare3/titanic-2019-logistic-regression", "kernel_id": "2878425"}, {"ref": "clare3/titanic-2019-decision-tree", "kernel_id": "2880873"}, {"ref": "clare3/titanic-2019-random-forest", "kernel_id": "2881493"}, {"ref": "clare3/titanic-2019-svm-to-submit", "kernel_id": "2960366"}, {"ref": "clare3/titanic-2019-support-vector-machines", "kernel_id": "2955693"}, {"ref": "rohit0009/rohit-chouhan", "kernel_id": "2615952"}, {"ref": "ankitbhowmick1989/titanic-case-study-from-scratch", "kernel_id": "2116840"}, {"ref": "hiralmshah/titanic-data-analysis", "kernel_id": "2647078"}, {"ref": "jordiebelle/fast-ai-rf-vs-classic-titanic", "kernel_id": "2033421"}, {"ref": "rongzhang2017/titanic-survive-prediction-radom-forest", "kernel_id": "2660270"}, {"ref": "rongzhang2017/titanic-survive-random-forest", "kernel_id": "2656270"}, {"ref": "personalarcs/titanic-with-feature-selection-and-data-visualize", "kernel_id": "2114475"}, {"ref": "lieblos/kernel219d11dacb", "kernel_id": "2123262"}, {"ref": "jezz007/titanic-machine-learning-from-disaster", "kernel_id": "2688372"}, {"ref": "guru1411/pandas-learning", "kernel_id": "2758179"}, {"ref": "thawatchai2018/10-steps-to-become-a-data-scientist", "kernel_id": "2101844"}, {"ref": "thawatchai2018/titanic-data-science-solutions-practice", "kernel_id": "2003178"}, {"ref": "shubhangip/titanic-dataset-prediction", "kernel_id": "2761363"}, {"ref": "sergioli212/my-first-notebook-for-titanic", "kernel_id": "2772238"}, {"ref": "mirikwa/titanic-data-exploration", "kernel_id": "2125252"}, {"ref": "ashishguptadss/titanic-svc-linear-kernel", "kernel_id": "2515370"}, {"ref": "satalla/titanic-ml-decision-tree-85", "kernel_id": "2506264"}, {"ref": "alejandrooliva/detect-covariate-shift-in-titanic-dataset", "kernel_id": "2121386"}, {"ref": "cyrilccs/titanic-solution-formation-bigdata-example", "kernel_id": "2025091"}, {"ref": "olipio/titanic-survival-prediction", "kernel_id": "2656408"}, {"ref": "brunocomitre/titanic-exploratory-predictions", "kernel_id": "2535083"}, {"ref": "ftnext/kaggle-spzcolab-201901", "kernel_id": "2731841"}, {"ref": "sushmitapandit184/titanic-dataset-classification-cross-validation", "kernel_id": "2956004"}, {"ref": "vladlee/titanic-survival-predictions-regularization", "kernel_id": "2597806"}, {"ref": "joe5910/survival-prediction", "kernel_id": "2598156"}, {"ref": "thsalsdn23/r-exam1-11111", "kernel_id": "2501489"}, {"ref": "rafaelcavalcante/titanic-using-xgboost", "kernel_id": "2163755"}, {"ref": "rafaelcavalcante/nano-degree-udacity-eda-and-random-forest", "kernel_id": "2105241"}, {"ref": "chocozzz/titanic-tutorial-with-python", "kernel_id": "2078271"}, {"ref": "mnishiki/mytitanicforeducation", "kernel_id": "2048882"}, {"ref": "kukang/improving-from-the-baseline-with-lgbm", "kernel_id": "2780528"}, {"ref": "navneetkrch/exploring-titanic-dataset-with-fastai-v1", "kernel_id": "2115114"}, {"ref": "blumental/a-solution-of-titanic", "kernel_id": "2788672"}, {"ref": "mihiraman/titanic-dataset", "kernel_id": "2345061"}, {"ref": "yash872/titanic-data-top-5-with-82-29-score", "kernel_id": "2471484"}, {"ref": "kevingeorgejoe/wec-ml-league-2-titanic-code-along", "kernel_id": "2720071"}, {"ref": "kevingeorgejoe/titanic-lr", "kernel_id": "2719301"}, {"ref": "mlnaveen/titanic-survival-predictions-final", "kernel_id": "2400279"}, {"ref": "zhffk37/starmooc-titanic-challenge", "kernel_id": "2338698"}, {"ref": "mentalwanderer/beginner-titanic-kernel", "kernel_id": "2373704"}, {"ref": "efeergun96/catboostclassifier-on-titanic", "kernel_id": "2482733"}, {"ref": "fschwartzer/titanic-decision-tree", "kernel_id": "2693782"}, {"ref": "rajshree07/feature-engineering", "kernel_id": "2774847"}, {"ref": "rajshree07/prediction-using-random-forest-algorithm", "kernel_id": "2777049"}, {"ref": "liztianjiaoliu/a-data-science-framework-to-achieve-99-ac-319b1d", "kernel_id": "2663729"}, {"ref": "liztianjiaoliu/titanic-data-science-solutions-f40d30", "kernel_id": "2663820"}, {"ref": "riteshgajera/titanic-ml-from-disaster", "kernel_id": "2178579"}, {"ref": "hyeonho/taitanic-machine-learning-from-disaster", "kernel_id": "2906491"}, {"ref": "adrian1acoran/1-1-pi-3-14159265358979324-codigo-e91bb9", "kernel_id": "2020663"}, {"ref": "adrian1acoran/1-pi-3-14159265358979324-code-7d7348", "kernel_id": "2022096"}, {"ref": "xiaohaotian/voting-model", "kernel_id": "2525211"}, {"ref": "faheem10/titanic-exploration", "kernel_id": "2971013"}, {"ref": "hengulkakaty/titanic-problem-with-raw-formulas", "kernel_id": "2797780"}, {"ref": "bayshubar/the-titanic-0-79425-final", "kernel_id": "2467727"}, {"ref": "andriyantohalim/titanic-kernel-v1", "kernel_id": "2684355"}, {"ref": "michelle1871/kernelb46d4e5d1b", "kernel_id": "2041720"}, {"ref": "jinkamounica/eda-for-survival-prediction", "kernel_id": "2962567"}, {"ref": "joeyst/a-comprehensive-ml-workflow-with-python-joey", "kernel_id": "2385618"}, {"ref": "aniruddhachoudhury/datascience-complete-framework-model", "kernel_id": "2155676"}, {"ref": "aniruddhachoudhury/titanic-best-model-end-to-end", "kernel_id": "2135887"}, {"ref": "babbler/titanic-ensemble", "kernel_id": "2779824"}, {"ref": "bigcow/survivors-of-titanic-machine-learning-analysis", "kernel_id": "2956719"}, {"ref": "rsdave/titanic-survival-predictions", "kernel_id": "2140398"}, {"ref": "ludovicoristori/titanic-for-dummies-eda-logistic-regression", "kernel_id": "2673467"}, {"ref": "iraless01/titanic-french", "kernel_id": "2290678"}, {"ref": "shreyask92/titanic-machine-learning-from-disaster", "kernel_id": "2099526"}, {"ref": "deepankerkaul/titanic-deepanker", "kernel_id": "2182666"}, {"ref": "jongwonwoo/hello-titanic", "kernel_id": "2588205"}, {"ref": "skusuru/partial-dependence-plots-29b1b2", "kernel_id": "2030991"}, {"ref": "tulaycaglayan/titanic-disaster", "kernel_id": "2531230"}, {"ref": "kensukeokojima/titanic-with-japanese-comments", "kernel_id": "2906129"}, {"ref": "ahmedtawfeek604/titanic-survival-prediction-step-by-step", "kernel_id": "2304379"}, {"ref": "macespinoza/advanced-ensemble-techniques-blending-v1-0", "kernel_id": "2722135"}, {"ref": "macespinoza/advanced-ensemble-techniques-bagging-v1-0", "kernel_id": "2722911"}, {"ref": "macespinoza/advanced-ensemble-techniques-stacking-v1-0", "kernel_id": "2715916"}, {"ref": "macespinoza/simple-eda-blending-python-0-79904", "kernel_id": "2828041"}, {"ref": "michaelyadidya/titanic-death-predictor", "kernel_id": "2726415"}, {"ref": "mpollind/titanic-data-probabilistic-neural-network", "kernel_id": "2211640"}, {"ref": "mukul1904/titanic-machine-learning-from-disaster", "kernel_id": "2608123"}, {"ref": "aroramanish/andrew-ng-concepts", "kernel_id": "2064257"}, {"ref": "scusi126/11-11", "kernel_id": "2074706"}, {"ref": "ravimsec37/titanic-problem-my-first-attempt-in-ml", "kernel_id": "2271761"}, {"ref": "maneesha96/learn-feature-engineering-using-titanic-dataset", "kernel_id": "2116422"}, {"ref": "ritwikbiswas/titanic-passenger-survival-prediction", "kernel_id": "2079856"}, {"ref": "ashirahama/simple-lightgbm", "kernel_id": "2042854"}, {"ref": "wangliting123/wlt-lightbgm", "kernel_id": "2178434"}, {"ref": "sailraman1001/predict-titanic-survivors-with-ann", "kernel_id": "2441152"}, {"ref": "marcmolina/titanic-a-pragmatic-approach", "kernel_id": "2154428"}, {"ref": "pavani2018/titanicr-random-forests", "kernel_id": "2686472"}, {"ref": "kumarsat/accuracy-score-on-test-data-vs-train-data-titanic", "kernel_id": "2470764"}, {"ref": "reubence/kernelfdb2ba64d1", "kernel_id": "2930909"}, {"ref": "waiyujack/titanic-python-notebook", "kernel_id": "2642896"}, {"ref": "waiyujack/titanic-random-search-in-r", "kernel_id": "2714981"}, {"ref": "prince1992/titanic-disaster", "kernel_id": "2260674"}, {"ref": "roydatascience/titanic-including-title-family-survival", "kernel_id": "2165812"}, {"ref": "duygut/titanic-survival-prediction", "kernel_id": "2453783"}, {"ref": "moshel/tpot-titanic-automl", "kernel_id": "2644640"}, {"ref": "mastmustu/titanic-solution", "kernel_id": "2793351"}, {"ref": "renanneves/pt-br-decision-tree-x-random-forest", "kernel_id": "2730347"}, {"ref": "th1460/titanic", "kernel_id": "2643838"}, {"ref": "lukego/titanic-data-preprocess", "kernel_id": "2956041"}, {"ref": "spa9009/titanic-survivors-predictions", "kernel_id": "2228008"}, {"ref": "psnappz/titanic-prediction-psn", "kernel_id": "2907498"}, {"ref": "lpdataninja/data-science-glossary-20-grid-search", "kernel_id": "2614604"}, {"ref": "rajamoh/titanic-my-first-learning", "kernel_id": "2186599"}, {"ref": "ayoubchebbi/sample-submits-in-kaggle", "kernel_id": "2362653"}, {"ref": "vasukalariya/sample", "kernel_id": "2660939"}, {"ref": "ssismasterchief/titanic-casualty-prediction-scikit-learn", "kernel_id": "2066991"}, {"ref": "johnlingle/titanic-learn-kernel", "kernel_id": "2785840"}, {"ref": "nurmaks/titanic-on-randomforestclassificati-top-24", "kernel_id": "2469364"}, {"ref": "maouriyan/titanic", "kernel_id": "2121377"}, {"ref": "qduyhoang/titanic-survival-rate-with-random-forest", "kernel_id": "2507143"}, {"ref": "himadri1998/prediction-on-titanic-dataset", "kernel_id": "2510127"}, {"ref": "hemanthkv/titanic-dataset", "kernel_id": "2407059"}, {"ref": "pbenavides/complete-analysis-with-svc-logreg", "kernel_id": "2895227"}, {"ref": "jayavarshinii/titanic-data-machine-learning", "kernel_id": "2102343"}, {"ref": "felipecosse/h2o-automl", "kernel_id": "2667337"}, {"ref": "mauryaravi/titanic-disaster", "kernel_id": "2557079"}, {"ref": "nephalem98/a-beginner-approach-to-titanic-survival-prediction", "kernel_id": "2551951"}, {"ref": "gaurav0535/titanic-starter-notebook", "kernel_id": "2426702"}, {"ref": "majan29/titanic-predictions-w-bokeh-viz", "kernel_id": "2500151"}, {"ref": "aryaabhishek/titanic-machine-learning-from-disaster", "kernel_id": "2602973"}, {"ref": "pavan2029/titanic-logistic-regression-pavang", "kernel_id": "2220129"}, {"ref": "harjas022/kaggle-titanic-using-logistic-regression", "kernel_id": "2475170"}, {"ref": "qizarafzaal/titanic-eda-and-baseline-score", "kernel_id": "2413401"}, {"ref": "srivatsasri/titanic-survival", "kernel_id": "2201449"}, {"ref": "samir95/eda-feature-engineering", "kernel_id": "2846503"}, {"ref": "kwonyoung234/pytanic-practice", "kernel_id": "2021579"}, {"ref": "kwonyoung234/using-various-ml-methods-of-titanic", "kernel_id": "2080242"}, {"ref": "tanyasharma2096/kernelf292567b07", "kernel_id": "2370127"}, {"ref": "kalyankkr/titanic-data-science-solutions", "kernel_id": "2607313"}, {"ref": "avishake/first-kernel-from-a-complete-beginner", "kernel_id": "2909281"}, {"ref": "tustunkok/let-s-try-titanic", "kernel_id": "2801166"}, {"ref": "lsjsj92/simple-titanic-kernel-82-for-beginner-like-me", "kernel_id": "2544723"}, {"ref": "mayankkestwal10/titanic-sinkable", "kernel_id": "2961403"}, {"ref": "apollofilippou/simple-beginner-titanic", "kernel_id": "2039388"}, {"ref": "domanttas/titanic-survival", "kernel_id": "2387907"}, {"ref": "mayankgupta96/titanic-making-predictions-by-analyzing-disaster", "kernel_id": "2487987"}, {"ref": "nirajtiwary/titanic-data-preprocessing-and-visualization", "kernel_id": "2127855"}, {"ref": "bharathchar/a-comprehensive-ml-workflow-with-python-ff3e66", "kernel_id": "2830477"}, {"ref": "bharathchar/titanicdataset", "kernel_id": "2796473"}, {"ref": "hs39ma/keras-neural-network-0-80861-and-xgb-0-80861", "kernel_id": "2187982"}, {"ref": "ken8aisa/titanic", "kernel_id": "2160457"}, {"ref": "supratimhaldar/titanic-disaster-and-survival-eda-and-prediction", "kernel_id": "2044023"}, {"ref": "parthplc/eda-feature-engineering-and-gridsearchcv", "kernel_id": "2557734"}, {"ref": "willbrazil/the-data-scientist-s-toolbox-tutorial-1", "kernel_id": "2235342"}, {"ref": "parakhsrivastava/titanic-survival-beginners", "kernel_id": "2667469"}, {"ref": "mindandnature/7-minutes-data-cooking", "kernel_id": "2101393"}, {"ref": "vinayvk/titanic", "kernel_id": "2747196"}, {"ref": "harbor1/titanic", "kernel_id": "2133496"}, {"ref": "bharathraj/titanic-survivor-data-modeling", "kernel_id": "2204972"}, {"ref": "yashchoudhary/titanic-eda-and-model-comparision", "kernel_id": "2897299"}, {"ref": "fatihcelik/titanic", "kernel_id": "2390065"}, {"ref": "jatinmittal0001/titanic-challenge-ensemble", "kernel_id": "2680221"}, {"ref": "fahdkial92/titanicmodel", "kernel_id": "2542233"}, {"ref": "amar09/titanic-survival-modelling", "kernel_id": "2592789"}, {"ref": "akashsinha3008/titanic-survivor-prediction", "kernel_id": "2543155"}, {"ref": "ankitbasu/titanic-competition-01", "kernel_id": "2131177"}, {"ref": "ankitbasu/introduction-to-ensembling-stacking-in-pyth-09aab3", "kernel_id": "2582942"}, {"ref": "ankitbasu/an-interactive-data-science-tutorial", "kernel_id": "2538136"}, {"ref": "taranom15/titanic-machine-learning-from-disaster", "kernel_id": "2738283"}, {"ref": "kronos136/titanic-passenger-survival-prediction", "kernel_id": "2624896"}, {"ref": "apjain/kernel5f4469e435", "kernel_id": "2549518"}, {"ref": "nitindatta/first-kaggle-submission", "kernel_id": "2357672"}, {"ref": "jayaos/basic-eda-missing-values-and-simple-regression", "kernel_id": "2097995"}, {"ref": "iamrahulcse/a-comprehensive-ml-workflow-with-python", "kernel_id": "2674435"}, {"ref": "dhiru29/titanic-learn-roc", "kernel_id": "2200397"}, {"ref": "goldens/titanic-on-the-top-with-a-simple-model", "kernel_id": "2843782"}, {"ref": "keisukekishi/kernel-titanic", "kernel_id": "2545149"}, {"ref": "spscientist/titanic-top-4-with-ensemble-modeling-e0608d", "kernel_id": "2138077"}, {"ref": "amins01/first-commit", "kernel_id": "2932231"}, {"ref": "micky123/titanic-data-analysis", "kernel_id": "2112195"}, {"ref": "amanvishnani/titanic-dnn-using-keras", "kernel_id": "2204320"}, {"ref": "aaronmitchellharris/my-first-ds-project-predict-survival-on-titanic", "kernel_id": "2915558"}, {"ref": "paradoges/titanic-lr-dt-rf", "kernel_id": "2990627"}, {"ref": "erfannariman/titanic-survival-prediction", "kernel_id": "2304204"}, {"ref": "ievgenishchuk/scikit-learn-ml-from-start-to-finish-fork", "kernel_id": "2458856"}, {"ref": "bilginyuksel/titanic", "kernel_id": "2890974"}, {"ref": "mikeccy/titanic-framework", "kernel_id": "2297582"}, {"ref": "pip33eeed/titanic-disaster-python", "kernel_id": "2062843"}, {"ref": "kpkent/first-kaggle-submission-titanic", "kernel_id": "2145303"}, {"ref": "anilml/understanding-random-forest-using-fastai", "kernel_id": "2225364"}, {"ref": "ashwinkumarsuresh/ashwin-titanic-first-attempt", "kernel_id": "2639051"}, {"ref": "mertnuhuz/titanic-competiton", "kernel_id": "2458730"}, {"ref": "mitulshah97/titanic1", "kernel_id": "2474046"}, {"ref": "navidgh66/kernel0b7cad585a", "kernel_id": "2609929"}, {"ref": "akashkv9589/titanic-disaster-machine-learning-problem", "kernel_id": "2092792"}, {"ref": "fran77/exploring-data-and-making-predictions", "kernel_id": "2949290"}, {"ref": "abuzuverov/classification-based-on-simple-rule", "kernel_id": "2403150"}, {"ref": "kelvindevop/kelvin-s-approach-for-titanic-competition", "kernel_id": "2687172"}, {"ref": "sricharanbattu/kernel1602a48aef", "kernel_id": "2481032"}, {"ref": "avi667424/titanic-problem-in-tensorflow", "kernel_id": "2600734"}, {"ref": "lythao26/kernelc38d750678", "kernel_id": "2495960"}, {"ref": "manjujs/eda-on-titanic-dataset", "kernel_id": "2115322"}, {"ref": "rajeshjnv/comprehensive-machine-learning-through-titanic", "kernel_id": "2154300"}, {"ref": "rihadv/the-data-scientist-s-toolbox-tutorial-1", "kernel_id": "2264427"}, {"ref": "rihadv/an-interactive-data-science-tutorial", "kernel_id": "2271073"}, {"ref": "rihadv/a-comprehensive-ml-workflow-with-python", "kernel_id": "2050104"}, {"ref": "rihadv/titanic-project", "kernel_id": "2044349"}, {"ref": "rihadv/partial-dependence-plots", "kernel_id": "2165112"}, {"ref": "mayank1261998/titanic-submission-xgboost", "kernel_id": "2436171"}, {"ref": "navneetptl/random-forest-benchmark-r", "kernel_id": "2329661"}, {"ref": "jmauritzs/kernela507dd653a", "kernel_id": "2658452"}, {"ref": "khandalaryan/datathon-workshop", "kernel_id": "2794532"}, {"ref": "venky73/titanic-survival-predictions", "kernel_id": "2809870"}, {"ref": "rucrazia/titanic-data-eda-and-random-forest-by-rucrazia", "kernel_id": "2630280"}, {"ref": "hannahzhaouk/machine-learning-for-titanic-survivors-prediction", "kernel_id": "2319950"}, {"ref": "realsid/data-science-for-dummies-by-a-novice", "kernel_id": "2515760"}, {"ref": "mutiihaha/titanic-neural-network-from-scratch", "kernel_id": "2780761"}, {"ref": "raidevesh05/beginner-guide-for-titanic-dataset", "kernel_id": "2794085"}, {"ref": "khushbushah/titanic-survival-prediction", "kernel_id": "2213168"}, {"ref": "ai2prx/titanic", "kernel_id": "2073300"}, {"ref": "littleraj30/detailed-ensemble-v-s-other-model-on-titanic", "kernel_id": "2659738"}, {"ref": "laharl/titanic-challenge", "kernel_id": "2908649"}, {"ref": "ritaprava95/titanic", "kernel_id": "2148424"}, {"ref": "purnasaig/my-first-kernel-of-titanic-competition", "kernel_id": "2846102"}, {"ref": "quentinalais/kerneltitanicquentin", "kernel_id": "2099605"}, {"ref": "prasun2106/titanic-dataset-2", "kernel_id": "2926132"}, {"ref": "akshat113/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "2263417"}, {"ref": "akshat113/titanic-dataset-analysis-level-2", "kernel_id": "2263634"}, {"ref": "romain13/0-799-randomforest-grad-boost-regression-nn", "kernel_id": "2878041"}, {"ref": "hansungj/titanic-from-start-to-finish", "kernel_id": "2546899"}, {"ref": "sherylee/a-comprehensive-ml-workflow-with-python", "kernel_id": "2555652"}, {"ref": "arthon/titanic", "kernel_id": "2982156"}, {"ref": "dompresutto/titanic-0-818-with-massive-plot-analysis", "kernel_id": "2806215"}, {"ref": "charleslmen/titanic-prediction", "kernel_id": "2625930"}, {"ref": "q2000qfq/titanic-first-try", "kernel_id": "2912974"}, {"ref": "jujbates/titanic-machine-learning-w-sklearn-and-pytorch", "kernel_id": "2851989"}, {"ref": "nitinkumar21/titanic-survival-problem-solution", "kernel_id": "2194186"}, {"ref": "mkkkkk/titanic-score-794", "kernel_id": "2160301"}, {"ref": "tangyubin/titanic", "kernel_id": "2258306"}, {"ref": "sboeck/titanic-survival-prediction", "kernel_id": "2348329"}, {"ref": "mohitkatiyar/introduction-to-ensembling-stacking-in-python", "kernel_id": "2384781"}, {"ref": "geochatz/tackle-the-titanic-dataset-classification-models", "kernel_id": "2062509"}, {"ref": "spyderweb/titanic-prediction", "kernel_id": "2740495"}, {"ref": "sumitmudkondwar/s-titanic", "kernel_id": "2008156"}, {"ref": "mikujsr/beginner-guide-to-titanic-problem-score-0-77990", "kernel_id": "2648874"}, {"ref": "pavlofesenko/selling-life-insurance-to-titanic-passengers", "kernel_id": "2568596"}, {"ref": "pavlofesenko/extending-titanic-dataset-using-wikipedia", "kernel_id": "2992211"}, {"ref": "erolsen/titanic-feature-engineering-and-neural-network", "kernel_id": "2722461"}, {"ref": "elaine90727/titanic-prediction-model", "kernel_id": "2470724"}, {"ref": "qwordy/titanic", "kernel_id": "2163849"}, {"ref": "aadityaverma1998/titanic-predictions-trying-different-models", "kernel_id": "2614864"}, {"ref": "someshkb10/titanic-tragedy-survivors", "kernel_id": "2724052"}, {"ref": "arunramesh/titanic-algorithm-evaluation", "kernel_id": "2094967"}, {"ref": "rishabhchauhan9760/titanic-using-decisiontree-and-randomforest", "kernel_id": "2926987"}, {"ref": "akashkankariya10/simple-implementation-of-random-forest-on-titanic", "kernel_id": "2660227"}, {"ref": "ftworld/complete-beginner-your-first-titanic-submission", "kernel_id": "2662331"}, {"ref": "bharathraja/survival-prediction-for-the-disaster-titanic", "kernel_id": "2180057"}, {"ref": "vishnuvwxyz/fork-of-titanic-survival-predictions-beginner", "kernel_id": "2117760"}, {"ref": "arvindcletus/xgboost-model-for-the-titanic-dataset", "kernel_id": "2785972"}, {"ref": "jbeitel/titanic-competition-big-data-and-analytics", "kernel_id": "2340631"}, {"ref": "tamlyn/titanic-fastai", "kernel_id": "2112757"}, {"ref": "sonamrana2908/titanic-predictions-using-logistic-regression", "kernel_id": "2604287"}, {"ref": "hajekim/titanic-20190103-ds-school", "kernel_id": "2719893"}, {"ref": "kamalaly/titanic-trial", "kernel_id": "2560726"}, {"ref": "w11114m/squeezing-performance-using-sk-learn-pipelines", "kernel_id": "2629406"}, {"ref": "qinmumu/titannic-for-randomforestclassifier", "kernel_id": "2646340"}, {"ref": "dev313/titanic-dataset", "kernel_id": "2116866"}, {"ref": "ramalingareddy/titanic", "kernel_id": "2200542"}, {"ref": "m3moriya/mytitanic1116", "kernel_id": "2116113"}, {"ref": "dreamfunction/top-8-with-some-visualizations", "kernel_id": "2382728"}, {"ref": "anamalf/kernela0bbde4786", "kernel_id": "2200548"}, {"ref": "darshujha/movie-assignment-using-python", "kernel_id": "2783847"}, {"ref": "howlingwolfs1989/titanic", "kernel_id": "2450407"}, {"ref": "anushkini/titanic", "kernel_id": "2434433"}, {"ref": "anushkini/titanic-2nd", "kernel_id": "2891191"}, {"ref": "cedricmart8/kernel5d79ea37ec", "kernel_id": "2227770"}, {"ref": "fionntant/titanic-set-attempt", "kernel_id": "2786401"}, {"ref": "arty233/titanic", "kernel_id": "2117859"}, {"ref": "arty233/titanic-new", "kernel_id": "2245315"}, {"ref": "arty233/encoding-names-and-using-popular-models-in-titanic", "kernel_id": "2337795"}, {"ref": "hoangpham51/titanic-lightgbm", "kernel_id": "2080491"}, {"ref": "mihirk107/predictions-using-ann-79-9-accuracy-top-17-percent", "kernel_id": "2780912"}, {"ref": "arenzero/titanic", "kernel_id": "2898389"}, {"ref": "mehmetkasap/titanic", "kernel_id": "2644901"}, {"ref": "williamgao666/titanic-survival-prediction", "kernel_id": "2599284"}, {"ref": "kirangvc/kernelc160089863", "kernel_id": "2281315"}, {"ref": "srolka/titanic-survival-logistic-regression", "kernel_id": "2314315"}, {"ref": "mohitm96/titanic", "kernel_id": "2060572"}, {"ref": "plsms21/titanic-exploration", "kernel_id": "2149973"}, {"ref": "pjourgensen/titanic-ml-v-2", "kernel_id": "2010965"}, {"ref": "arty279/titanic-machine-learning", "kernel_id": "2090056"}, {"ref": "nivaed/titanic-optimized-model", "kernel_id": "2139210"}, {"ref": "harishdech/a-beginners-code-for-titanic", "kernel_id": "2467564"}, {"ref": "dasdhiraj/titanic-survival-prediction", "kernel_id": "2738587"}, {"ref": "olttwa/titanic-logistic-regression-v1", "kernel_id": "2418651"}, {"ref": "shravankp/titanic-survival-prediction-by-xgboost", "kernel_id": "2771371"}, {"ref": "diniaa/kernel4793400b33", "kernel_id": "2260484"}, {"ref": "alokpratap/titanic-problem-my-first-submission", "kernel_id": "2217236"}, {"ref": "guptajitesh9294/titanic-analysis", "kernel_id": "2586344"}, {"ref": "nidi3544141/simple-titanic-random-forest", "kernel_id": "2854389"}, {"ref": "firasabid/titanic-v1", "kernel_id": "2398806"}, {"ref": "sumitbehal13/titanic", "kernel_id": "2692970"}, {"ref": "amrmahmoud123/85-accuracy-by-ml-and-preprocessing", "kernel_id": "2460282"}, {"ref": "vasilisapp/titanic-competition3434", "kernel_id": "2261759"}, {"ref": "agatah/titanic-decision-tree-random-forest", "kernel_id": "2925843"}, {"ref": "shashikanthreddy/titanic-data-analysis-submission", "kernel_id": "2236116"}, {"ref": "jhujol/titanic-hujol", "kernel_id": "2093565"}, {"ref": "ashish3342/titanic-beginner-s-guide-with-sklearn-8d0bf2", "kernel_id": "2949996"}, {"ref": "giosiolas/enter-the-titanic-competition-with-dt-and-lr", "kernel_id": "2301673"}, {"ref": "gasparq/titanic-morbid-detector", "kernel_id": "2044624"}, {"ref": "rahulnathan/titanic", "kernel_id": "2025695"}, {"ref": "iplanells/kernelcaa312eb81", "kernel_id": "2785936"}, {"ref": "nikkisharma536/titanic-prediction", "kernel_id": "2295536"}, {"ref": "nikkisharma536/titanic", "kernel_id": "2324043"}, {"ref": "nikkisharma536/titanic-with-deep-learning-fastai-beginner", "kernel_id": "2944068"}, {"ref": "bgmello/eda-nn-with-repeatedkfold", "kernel_id": "2923820"}, {"ref": "frtgnn/introduction-to-pytorch-a-very-gentle-start", "kernel_id": "2531357"}, {"ref": "khushboom/titanic-feature-engineering", "kernel_id": "2590769"}, {"ref": "khushboom/titanic-classification", "kernel_id": "2942040"}, {"ref": "italoo/titanic", "kernel_id": "2796823"}, {"ref": "khmais/titanic-otce", "kernel_id": "2796131"}, {"ref": "khmais/titanic-top-6", "kernel_id": "2911030"}, {"ref": "cagkanbay/titanic-ml", "kernel_id": "2300413"}, {"ref": "yushunli2013/titanic-survival-predictions-beginner-68c13d", "kernel_id": "2606140"}, {"ref": "peterboos/titanic-a-neural-net-width-some-future-engineering", "kernel_id": "2053376"}, {"ref": "park752752/kernel6f87edb0ab", "kernel_id": "2528797"}, {"ref": "ashishranshinge/beginner-ml-titanic-dataset", "kernel_id": "2638873"}, {"ref": "rohanranshinge/titanic-submission-learning-basics-of-ml", "kernel_id": "2637688"}, {"ref": "saishan/why-not-rose-81-03-accuracy-beginners-luck", "kernel_id": "2622218"}, {"ref": "yitianxia/first-assignment-titanic", "kernel_id": "2636955"}, {"ref": "wumenghao/titanic-with-logistic-regression", "kernel_id": "2099440"}, {"ref": "krithika1789/my-titanic-trial-submission", "kernel_id": "2644488"}, {"ref": "curiousprogrammer/titanic-survival-pred-v1", "kernel_id": "2484979"}, {"ref": "e194235/titanic", "kernel_id": "2321744"}, {"ref": "shreyansh20/titanic-survival-predict", "kernel_id": "2744037"}, {"ref": "deepanshgoyal/titanixtix", "kernel_id": "2847721"}, {"ref": "panamby/titanic-survivors", "kernel_id": "2156086"}, {"ref": "makdvd/titanic-disaster-survival-prediction-r", "kernel_id": "2025155"}, {"ref": "mukundkallapur/titanic-man-made-marvel-struck-by-nature-s-wrath", "kernel_id": "2699307"}, {"ref": "diegoperezsalas/softmax-regression", "kernel_id": "2183886"}, {"ref": "ksarafrazi/titanicdnn", "kernel_id": "2024689"}, {"ref": "joshuasalazar984/titanic-kaggle", "kernel_id": "2732437"}, {"ref": "tetsuyazama/fork-of-titanic-example-for-nst", "kernel_id": "2976383"}, {"ref": "tetsuyazama/titanic-example-for-nst", "kernel_id": "2757073"}, {"ref": "raylia/complete-beginner-your-first-titanic-submi-237e05", "kernel_id": "2651953"}, {"ref": "dsfgfgdsuioghg/eda-for-further-work-logreg", "kernel_id": "2892746"}, {"ref": "fffjay/titanic-survivor-prediction", "kernel_id": "2509935"}, {"ref": "manoj83/prediction-of-titanic-disaster", "kernel_id": "2134480"}, {"ref": "tooezy/titanic-prediction", "kernel_id": "2804369"}, {"ref": "luantm/titanic-competition", "kernel_id": "2010366"}, {"ref": "alicewaterhouse/titanic-submission", "kernel_id": "2069222"}, {"ref": "adelizer/kernel8720b427eb", "kernel_id": "2695305"}, {"ref": "akhilyeduresi/titanic-dataset", "kernel_id": "2488825"}, {"ref": "msanjay/titanic-competition-code-using-fastai", "kernel_id": "2023686"}, {"ref": "protiknag08/basic-machine-learning-methods-on-titanic-dataset", "kernel_id": "2797535"}, {"ref": "adrianohenrique/titanic-predictor-using-ann-non-tuning", "kernel_id": "2514640"}, {"ref": "kiarar/titanic-final", "kernel_id": "2133500"}, {"ref": "harshul23/titanic-ml", "kernel_id": "2509483"}, {"ref": "neu20171909/titanic-disaster-python-5fcd52", "kernel_id": "2114878"}, {"ref": "serhiipuzyrov/titanic-xgbclassifier", "kernel_id": "2575928"}, {"ref": "yairhadad1/titanic-analysis-and-ml", "kernel_id": "2954974"}, {"ref": "deepakrajak582/titanic-passenger-survival", "kernel_id": "2531805"}, {"ref": "amitdatt28/amit-titanic", "kernel_id": "2568130"}, {"ref": "heems2/first-analysis-for-titanic", "kernel_id": "2220514"}, {"ref": "heems2/based-on-minseok", "kernel_id": "2222803"}, {"ref": "ankhaatk/titanic-visialize", "kernel_id": "2017286"}, {"ref": "chanhuiyu/kernelb5123f01f9", "kernel_id": "2196868"}, {"ref": "stasler/playing-around-with-the-titanic-dataset", "kernel_id": "2011022"}, {"ref": "collinmurch/titanic-predictions", "kernel_id": "2283000"}, {"ref": "jacobavilac/the-data-scientist-s-toolbox-tutorial", "kernel_id": "2013269"}, {"ref": "ramoyses/titanic-competition", "kernel_id": "2033789"}, {"ref": "simransinha5514/statistical-analysis-ml-workflow-of-titanic", "kernel_id": "2969464"}, {"ref": "beck0910/titanic-data-analysis", "kernel_id": "2041664"}, {"ref": "abhideshmukh1/abhi-s-kernel-for-titanic", "kernel_id": "2263980"}, {"ref": "abhideshmukh1/fork-of-abhi-s-kernel-for-titanic", "kernel_id": "2455277"}, {"ref": "swathi26/titanic-survival-prediction", "kernel_id": "2571129"}, {"ref": "francispimentel/simple-naive-bayes-titanic-prediction", "kernel_id": "2850581"}, {"ref": "rajspd/a-learning-approach-to-solve-titanic-from-scratch", "kernel_id": "2249800"}, {"ref": "iceman126/an-attempt-for-using-lightgbm", "kernel_id": "2140919"}, {"ref": "dogacandu/titanic-survival-study", "kernel_id": "2120754"}, {"ref": "pierrenicolaspiquin/titanic-feature-generation", "kernel_id": "2540252"}, {"ref": "rlukaszewski/titanic-study", "kernel_id": "2395349"}, {"ref": "rahulcs068/titanic-saver-prediction", "kernel_id": "2839141"}, {"ref": "tushars95/titanic-ml-algos-data-imputation", "kernel_id": "2200948"}, {"ref": "damiendormal/kernel1afce5144b", "kernel_id": "2264512"}, {"ref": "okapinskywalker/kaggle", "kernel_id": "2780159"}, {"ref": "okapinskywalker/kaggle-learning-3", "kernel_id": "2780902"}, {"ref": "srishti125/kernelfc42e462c6", "kernel_id": "2111906"}, {"ref": "ksatis/titanic-solutions", "kernel_id": "2858872"}, {"ref": "ronnierulz/my-heart-will-go-on", "kernel_id": "2066614"}, {"ref": "lucasfs/titanic", "kernel_id": "2763959"}, {"ref": "rania92/titanic-case-study-using-logestic-regression-rfe", "kernel_id": "2983411"}, {"ref": "vsyerragudi/titanicminimal", "kernel_id": "2214434"}, {"ref": "zwzzhong/first-machine-learning-project", "kernel_id": "2656653"}, {"ref": "wfoliveira/titanic", "kernel_id": "2684865"}, {"ref": "ingcarol/seguro-m-dico-a-partir-de-m-ltiples-factores", "kernel_id": "2173603"}, {"ref": "aakarkale/a-data-science-framework-titanic-dataset", "kernel_id": "2775608"}, {"ref": "goktugkose/ship-wreck", "kernel_id": "2611952"}, {"ref": "shivamsarawagi/titanic", "kernel_id": "2543375"}, {"ref": "sinersound/siner-first-machine-learning", "kernel_id": "2279372"}, {"ref": "mckenziejon/lltitanic-example", "kernel_id": "2284267"}, {"ref": "ayanecen/pydata-tokyo-tutorial-hackathon-1", "kernel_id": "2888848"}, {"ref": "pokala15/titanic-machine-learning-from-a-disaster", "kernel_id": "2151000"}, {"ref": "prakr89/machine-learning-in-python", "kernel_id": "2069040"}, {"ref": "ahnineamine/titanic-survival-prediction", "kernel_id": "2219658"}, {"ref": "chenma/titanic-learning-from-disaster", "kernel_id": "2661416"}, {"ref": "digvijay776/kernelb391dd2a67", "kernel_id": "2090536"}, {"ref": "dongjulongpy/titanic-data-analysis-and-feature-engineering", "kernel_id": "2198536"}, {"ref": "hariprasathkag/titanic-prediction", "kernel_id": "2599222"}, {"ref": "krishnapriya66/titanic-survival-prediction-beginner-logistic-reg", "kernel_id": "2791469"}, {"ref": "b14ckw01f/titanic-random-forest-ensemble", "kernel_id": "2369072"}, {"ref": "ralph090/titanic-survival-predictions-logistic-regression", "kernel_id": "2094931"}, {"ref": "leciel36/titanic-with-feature-selection", "kernel_id": "2589570"}, {"ref": "epemitheus84/titanic-super-kernel-pro-ml-master", "kernel_id": "2267532"}, {"ref": "element/titanic-simple-xgboost-model", "kernel_id": "2126146"}, {"ref": "vora123/titanic-ml-project", "kernel_id": "2636245"}, {"ref": "narendra1508/titanic-dataset-analysis", "kernel_id": "2336179"}, {"ref": "fgebhart/titanic-with-aureliens-hands-on-ml", "kernel_id": "2294114"}, {"ref": "cqncpdp/one-sinking-boy", "kernel_id": "2520313"}, {"ref": "shanmua/titanic-machine-learning-from-disaster", "kernel_id": "2230359"}, {"ref": "imran8kaggle/titanic-survival-prediction", "kernel_id": "2426190"}, {"ref": "barnasir/kernel5d73bca677", "kernel_id": "2132636"}, {"ref": "liartie/titanic", "kernel_id": "2127791"}, {"ref": "naveenkannan/survival-prediction", "kernel_id": "2708208"}, {"ref": "bluewizard/solving-for-titanic-survival", "kernel_id": "2686625"}, {"ref": "velbal/titanic-preprocessing", "kernel_id": "2689345"}, {"ref": "velbal/titanic-svm-with-single-dummy-variable", "kernel_id": "2695256"}, {"ref": "velbal/titanic-lda", "kernel_id": "2667045"}, {"ref": "velbal/titanic-linear-svm", "kernel_id": "2675181"}, {"ref": "velbal/titanic-principle-component-analysis", "kernel_id": "2683621"}, {"ref": "velbal/titanic-svm-with-grid-search", "kernel_id": "2665111"}, {"ref": "jiafengliao/titanic-framework-6d2968", "kernel_id": "2288351"}, {"ref": "rightstone/test1", "kernel_id": "2590863"}, {"ref": "jessewheeler/titanic-data-with-xgboost-in-r", "kernel_id": "2706838"}, {"ref": "solotu/titanic-framework-1e30d6", "kernel_id": "2324939"}, {"ref": "dagtornes/posten-starter-kit", "kernel_id": "2368195"}, {"ref": "hosam4488/titanic-disaster-survival-prediction", "kernel_id": "2151555"}, {"ref": "shizenkenmae/titanic", "kernel_id": "2707554"}, {"ref": "mbmardini/comparison-of-common-classifiers-titanic-dataset", "kernel_id": "2479433"}, {"ref": "cat233/titanic-framework", "kernel_id": "2264966"}, {"ref": "adagloria/prediction-for-titanic-survival", "kernel_id": "2660026"}, {"ref": "raonqaz2/i-m-gonna-be-a-big-data-jeon-mun-ga", "kernel_id": "2173795"}, {"ref": "therzv/titanic-survived-prediction-ml", "kernel_id": "2398482"}, {"ref": "skumar2007ctae/titanic-ensembles", "kernel_id": "2608742"}, {"ref": "skumar2007ctae/titanic-analysis-with-bagging-and-boosting", "kernel_id": "2608080"}, {"ref": "rpgfly/titanic-framework", "kernel_id": "2278024"}, {"ref": "rpgfly/ai-camp-logistic-regression-titanic-homework", "kernel_id": "2463174"}, {"ref": "midooabdaim/mohamed-ehab", "kernel_id": "2446962"}, {"ref": "shawnxa/titanic-framework", "kernel_id": "2323372"}, {"ref": "sunnhao/titanic-framework", "kernel_id": "2288339"}, {"ref": "sunnhao/ai-camp-logistic-regression-titanic-homework", "kernel_id": "2529560"}, {"ref": "ptj1554/titanic", "kernel_id": "2741289"}, {"ref": "kazuk1/titanic-visualization", "kernel_id": "2238871"}, {"ref": "nanoha17/titanic-framework-118159", "kernel_id": "2297779"}, {"ref": "qylinn/titanic-machine-learning-beginner", "kernel_id": "2638831"}, {"ref": "hazelliang/titanic-analysis-hazel-liang", "kernel_id": "2613467"}, {"ref": "zjjszj/onetitanic", "kernel_id": "2214189"}, {"ref": "shiminhuang/my-learning-of-kaggle-titanic", "kernel_id": "2264259"}, {"ref": "lellis167/titanic-lab-7-lillian-big-data-class-work", "kernel_id": "2340451"}, {"ref": "dingfengwu/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "2224778"}, {"ref": "lmorgan95/titanic-top-8-with-random-forests-r", "kernel_id": "2534064"}, {"ref": "marcelokayata/titanic", "kernel_id": "2357571"}, {"ref": "sandeeppat/titanic-s1", "kernel_id": "2267840"}, {"ref": "sandeeppat/titanic-s2", "kernel_id": "2292999"}, {"ref": "dhiabenrejeb/titanic-kernel", "kernel_id": "2610518"}, {"ref": "itslissie/titanic-survival-predictions-beginner-lan", "kernel_id": "2646934"}, {"ref": "helenpie/titanic-machine-learning-study", "kernel_id": "2579230"}, {"ref": "ineshe/predicting-titanic-survival-ml-beginner", "kernel_id": "2654094"}, {"ref": "yihuawu751024/ml-1-titanic", "kernel_id": "2639824"}, {"ref": "lychee77/homework-1-titanic-submission", "kernel_id": "2654370"}, {"ref": "alisha1810/my-first-ml-exercise", "kernel_id": "2597481"}, {"ref": "fangqizhao/titanic-hw1", "kernel_id": "2665157"}, {"ref": "jjingmsba/complete-beginner-my-first-titanic-submission", "kernel_id": "2607179"}, {"ref": "zhenyufan/machine-learning-of-titanic-new-beginner", "kernel_id": "2662041"}, {"ref": "foxtreme/whatever-ml-that-floats-this-boat", "kernel_id": "2654951"}, {"ref": "johndonich/kernelaadfedec3e", "kernel_id": "2257674"}, {"ref": "cgparkinson/cgp-titanic", "kernel_id": "2253252"}, {"ref": "peterbartolomeo/titanic-machine-learning-from-disaster", "kernel_id": "2278081"}, {"ref": "karthickkrishna/titanic-problem", "kernel_id": "2434801"}, {"ref": "hung20736/titanic-data-science-solution", "kernel_id": "2991583"}, {"ref": "baskartrk/fork-of-kernel746e84e0c7-ab6711", "kernel_id": "2599574"}, {"ref": "wonggh/titanic-hit-up-to-80-surname-affect-destiny", "kernel_id": "2366549"}, {"ref": "abbahaddou/titanic-logistic-regression", "kernel_id": "2436731"}, {"ref": "kpisi14/kernel80d261ee0e", "kernel_id": "2288203"}, {"ref": "rishikeshfanse/sample-titanic-competition-practice-basics", "kernel_id": "2292781"}, {"ref": "yeongwook/titanic-example", "kernel_id": "2306977"}, {"ref": "lalasfsu/isys412-project-larissa-ebraico", "kernel_id": "2397234"}, {"ref": "timotheer/is-consensus-better-than-an-individual-output", "kernel_id": "2363089"}, {"ref": "lukinhas/my-second-attempt-for-titanic-challenge", "kernel_id": "2543638"}, {"ref": "davidson094/rasengan", "kernel_id": "2352352"}, {"ref": "nazirashaikh/titanic-survival-prediction", "kernel_id": "2905738"}, {"ref": "tmr207/titanic-with-rf-dt-xgboost-lgbm", "kernel_id": "2680040"}, {"ref": "jindalaman/getting-started-in-data-science-titanic-survivors", "kernel_id": "2328265"}, {"ref": "abhisingh879/pca-k-means-clustering-applied-on-titanic-data", "kernel_id": "2737771"}, {"ref": "abhisingh879/randomforest-titanicdataset", "kernel_id": "2945973"}, {"ref": "raxnamosa/titaniceda", "kernel_id": "2559162"}, {"ref": "jonathanoheix/titanic-survivors-prediction-top-5", "kernel_id": "2511000"}, {"ref": "genesis16/titanic-learning-from-a-disaster", "kernel_id": "2386766"}, {"ref": "gsakabe/sklearn-ensemble-voting-test", "kernel_id": "2844707"}, {"ref": "gsakabe/entity-embedding-test-titanic", "kernel_id": "2990386"}, {"ref": "oguzalpp/titanic-beginner", "kernel_id": "2387207"}, {"ref": "bqnnguye/complete-beginner-your-first-titanic-submi-1a0bb0", "kernel_id": "2663980"}, {"ref": "kay173/titanic-survival-predictions", "kernel_id": "2378280"}, {"ref": "yacin235/kernelf8bd08fee8", "kernel_id": "2370573"}, {"ref": "lukaszbrygala/first-steps-with-competitions-titanic", "kernel_id": "2593378"}, {"ref": "aquaintel/titanic-machine-learning-eda-and-predictive-model", "kernel_id": "2640897"}, {"ref": "ankitagarwal86/posten-starter-kit-b3a867", "kernel_id": "2401502"}, {"ref": "mangesh18/posten-starter-kit-bdf442", "kernel_id": "2403328"}, {"ref": "anshulisinghal/posten-starter-kit-80b855", "kernel_id": "2402819"}, {"ref": "arnemart/posten-starter-kit", "kernel_id": "2401365"}, {"ref": "holeinvoid/posten-starter-kit-de0229", "kernel_id": "2401744"}, {"ref": "fabianoportella/estudo-de-caso-tic-sobreviventes-do-titanic", "kernel_id": "2434397"}, {"ref": "alexbonella/prediccion-titanic-regresion-logistica", "kernel_id": "2468444"}, {"ref": "innovn/firsttitanic-posted", "kernel_id": "2522578"}, {"ref": "benmatthews/titanic", "kernel_id": "2591883"}, {"ref": "devinshende/titanic-refactored-for-transformation-pipeline", "kernel_id": "2661290"}, {"ref": "redfoongus/titanic-using-r-and-randomforest", "kernel_id": "2627178"}, {"ref": "hyunq5/titanic", "kernel_id": "2482947"}, {"ref": "epassagi1/panda-basic-commands", "kernel_id": "2470409"}, {"ref": "ankur1401/titanic-survival", "kernel_id": "2534485"}, {"ref": "asyl21795/asyl-titanic", "kernel_id": "2469443"}, {"ref": "tom2shoes/titanic-survivor-prediction", "kernel_id": "2606385"}, {"ref": "ybnero/suvrival-on-titanic-naivebayes-ramdomforest", "kernel_id": "2537846"}, {"ref": "casim0/titanic-machine-learning-ticket-casim0", "kernel_id": "2547283"}, {"ref": "deepu97nagar/titanic-basic-ml-step-by-step", "kernel_id": "2893403"}, {"ref": "yousefdb/kernel06c6973e90", "kernel_id": "2481757"}, {"ref": "d25091c/data-science-and-machine-learning-cheatsheets", "kernel_id": "2563051"}, {"ref": "vinayakkamble/titanic-survival-prediction", "kernel_id": "2671666"}, {"ref": "muhramor/first-kernel", "kernel_id": "2676052"}, {"ref": "himaoka/titanic-ensemble-rfc-gbc-svm", "kernel_id": "2508663"}, {"ref": "jhariharan/my-titanic-analysis", "kernel_id": "2585997"}, {"ref": "ranjit233/titanic-beginner-s-guide-with-sklearn-cbff7d", "kernel_id": "2549213"}, {"ref": "lily0727k/test1", "kernel_id": "2666400"}, {"ref": "ruaruaxia/kernel3bf35cb630", "kernel_id": "2810918"}, {"ref": "mandalorian/training-titanic-survivor-prediction", "kernel_id": "2593975"}, {"ref": "clovisystem/estatisticas-e-altera-o-de-colunas-do-titanic", "kernel_id": "2534445"}, {"ref": "jeffreyegan/titanic-machine-learning-from-disaster", "kernel_id": "2620277"}, {"ref": "dannydwkim/titanic-team-practice-snu-programme", "kernel_id": "2855605"}, {"ref": "dannydwkim/titanic-thx-to-ahmed", "kernel_id": "2992479"}, {"ref": "stoppie/titanic-svm-model-accuracy-83", "kernel_id": "2912661"}, {"ref": "salarali/titanic-dataset-analysis", "kernel_id": "2689638"}, {"ref": "jurisoo/sexist-survival-model-kills-men-spares-women", "kernel_id": "2554373"}, {"ref": "jurisoo/stupid-titanic-model-assumes-everybody-dies", "kernel_id": "2546459"}, {"ref": "jjc385/my-titanic-following-tutorial", "kernel_id": "2706916"}, {"ref": "xymzhang/ml-on-titanic-dataset", "kernel_id": "2578281"}, {"ref": "hrg921/my-first-kaggle", "kernel_id": "2575871"}, {"ref": "rahman7/logistic-regression-titanic", "kernel_id": "2785406"}, {"ref": "jojothebufferlo/easy-ml-walkthrough-regression-svm-knn", "kernel_id": "2784755"}, {"ref": "kitou0118/kernel25027a7ed2", "kernel_id": "2789058"}, {"ref": "mariagor/titanic-maria", "kernel_id": "2876223"}, {"ref": "mqzhong/titanic-data-science-solutions", "kernel_id": "2637080"}, {"ref": "bhavna259/simple-ml-approach-for-titenic-desaster", "kernel_id": "2784566"}, {"ref": "pnidhi26/survival", "kernel_id": "2651501"}, {"ref": "andreacardinale/titanic-deep-learning-analysis-with-keras", "kernel_id": "2781594"}, {"ref": "sagarprasad/titanic-survival-prediction-using-random-forest", "kernel_id": "2971410"}, {"ref": "lele1995/titanc-solution-using-lstm-network", "kernel_id": "2794553"}, {"ref": "sigmaset/hyperparameter-tuning-ensemble-methods", "kernel_id": "2841716"}, {"ref": "ariusk/titanic-survival-prediction", "kernel_id": "2613725"}, {"ref": "sarkaramal/my-first-kernel-with-titanic-dataset", "kernel_id": "2847005"}, {"ref": "covaris/survival-prediction-titanic", "kernel_id": "2641323"}, {"ref": "ashishrane7/titanic-survival-binary-classification", "kernel_id": "2736376"}, {"ref": "thanhtra/titanic-using-random-forest-classification", "kernel_id": "2972932"}, {"ref": "abhinavchatterji/titanic-submission", "kernel_id": "2636039"}, {"ref": "thakshak/pandas-learning", "kernel_id": "2769207"}, {"ref": "alfaromeo1979/titanic-with-ensemble-and-classification", "kernel_id": "2641426"}, {"ref": "gunesevitan/titanic-advanced-feature-engineering-tutorial", "kernel_id": "2725427"}, {"ref": "mailyousufkhan/titanic-machine-learning-from-disaster", "kernel_id": "2681440"}, {"ref": "pednoi/data-science", "kernel_id": "2650579"}, {"ref": "fazzy485/xgboost-on-own-data", "kernel_id": "2828202"}, {"ref": "lap00921/complete-beginner-your-first-titanic-submi-3ebd21", "kernel_id": "2656380"}, {"ref": "lap00921/complete-beginner-your-first-titanic-submission", "kernel_id": "2653087"}, {"ref": "xigche/complete-beginner-your-first-titanic-submi-185e54", "kernel_id": "2661336"}, {"ref": "yoshiyukiohiwa/simple-no-tuning", "kernel_id": "2910510"}, {"ref": "akhaisin/my-titanic-predictions", "kernel_id": "2684781"}, {"ref": "tparkash/tej-s-titanic-kernel", "kernel_id": "2741476"}, {"ref": "anveshrddy/titanic-prediction", "kernel_id": "2682269"}, {"ref": "sunzebo/last-of-titantic-zebo", "kernel_id": "2711663"}, {"ref": "sunzebo/zebo-titantic", "kernel_id": "2711333"}, {"ref": "rtreit/kaggle-titanic-tutorial", "kernel_id": "2695914"}, {"ref": "rajatsr94/titanic-dataset", "kernel_id": "2728914"}, {"ref": "harshit12345/titanic-disaster-top-17", "kernel_id": "2721831"}, {"ref": "tcerda/titanic-competition-from-eda-to-model-selection", "kernel_id": "2817510"}, {"ref": "matheuslucasti/titanic-started-resolution", "kernel_id": "2730685"}, {"ref": "guillaumebeuzeboc/titanic-accuracy-focus-model", "kernel_id": "2814336"}, {"ref": "richardwellman/titanic-getting-started", "kernel_id": "2752103"}, {"ref": "arushiburson/titanic-machine-learning-85-accuracy", "kernel_id": "2794787"}, {"ref": "vivekrajyaguru/titanic-survival-prediction", "kernel_id": "2772837"}, {"ref": "fatrubicc/pred-survival-on-the-titanic", "kernel_id": "2786909"}, {"ref": "louisp27/titanic-2", "kernel_id": "2776120"}, {"ref": "louisp27/titanic-1", "kernel_id": "2753559"}, {"ref": "hasanyildiz84/2nd-test-of-titanic-data", "kernel_id": "2999191"}, {"ref": "hasanyildiz84/titanis-first-test", "kernel_id": "2998969"}, {"ref": "percibal/titanic-logisticregression-svc-datalytics-rosario", "kernel_id": "2901254"}, {"ref": "francescomandru/using-rbf-kernel-with-0-8279-accurancy", "kernel_id": "2866383"}, {"ref": "deepakmalpani/titanic-prediction", "kernel_id": "2841339"}, {"ref": "deepakmalpani/using-gradient-boosting-classifier", "kernel_id": "2913384"}, {"ref": "chirenchen/kernele6893bb4a4", "kernel_id": "2818178"}, {"ref": "berrougamine/titanic-survival-nb-beginner-eda-ml", "kernel_id": "2849588"}, {"ref": "muditpassi/titanic-ml-from-disaster", "kernel_id": "2992689"}, {"ref": "sunbhargava/journey-to-achieve-85-accuracy-with-classifiers", "kernel_id": "2941676"}, {"ref": "zcugni/first-notebook", "kernel_id": "2984980"}, {"ref": "reejungkim/titanic-working", "kernel_id": "2912956"}, {"ref": "charlie11438/titanic-using-svc", "kernel_id": "2966627"}, {"ref": "achintsatsangi/posten-starter-kit", "kernel_id": "2944764"}, {"ref": "sirajmemon2005/titanic-basic-kernel-dt-and-lr", "kernel_id": "2975523"}, {"ref": "duangenian/an-interactive-data-science-tutorial", "kernel_id": "2979767"}, {"ref": "cmahesh/titanic-ml-kernel", "kernel_id": "3700581"}, {"ref": "mlwhiz/feature-creation", "kernel_id": "3942124"}, {"ref": "mchahhou/bdsas-2019-titanic-keras", "kernel_id": "3679469"}, {"ref": "mchahhou/um6p-titanic1", "kernel_id": "3325202"}, {"ref": "mchahhou/um6p-titanic2", "kernel_id": "3325567"}, {"ref": "chalkalan/04a-naive", "kernel_id": "3717929"}, {"ref": "chengn/scikit-learn-ml-from-start-to-finish-c45e68", "kernel_id": "3468234"}, {"ref": "chengn/scikit-learn-ml-from-start-to-finish", "kernel_id": "3459698"}, {"ref": "chengn/iowa-ba-symposium-2019", "kernel_id": "3461012"}, {"ref": "hamelg/python-for-data-25-chi-squared-tests", "kernel_id": "3731188"}, {"ref": "hamelg/python-for-data-26-anova", "kernel_id": "3731372"}, {"ref": "hamelg/python-for-data-27-linear-regression", "kernel_id": "3729052"}, {"ref": "hamelg/python-for-data-22-probability-distributions", "kernel_id": "3670544"}, {"ref": "hamelg/python-for-data-29-decision-trees", "kernel_id": "3692108"}, {"ref": "hamelg/python-for-data-23-confidence-intervals", "kernel_id": "3680987"}, {"ref": "hamelg/python-for-data-30-random-forests", "kernel_id": "3681704"}, {"ref": "hamelg/python-for-data-28-logistic-regression", "kernel_id": "3701912"}, {"ref": "hamelg/python-for-data-21-descriptive-statistics", "kernel_id": "3661224"}, {"ref": "hamelg/python-for-data-20-plotting-with-pandas", "kernel_id": "3626690"}, {"ref": "hamelg/python-for-data-19-frequency-tables", "kernel_id": "3615506"}, {"ref": "hamelg/python-for-data-16-preparing-numeric-data", "kernel_id": "3593349"}, {"ref": "hamelg/python-for-data-17-dealing-with-dates", "kernel_id": "3596661"}, {"ref": "hamelg/python-for-data-15-working-with-text-data", "kernel_id": "3569132"}, {"ref": "hamelg/python-for-data-11-control-flow", "kernel_id": "3546727"}, {"ref": "hamelg/python-for-data-12-functions", "kernel_id": "3546921"}, {"ref": "hamelg/python-for-data-13-list-comprehensions", "kernel_id": "3547100"}, {"ref": "hamelg/python-for-data-14-data-exploration-and-cleaning", "kernel_id": "3559390"}, {"ref": "hamelg/python-for-data-10-reading-and-writing-data", "kernel_id": "3535942"}, {"ref": "hamelg/python-for-data-9-pandas-dataframes", "kernel_id": "3527651"}, {"ref": "hamelg/python-for-data-8-numpy-arrays", "kernel_id": "3525468"}, {"ref": "hamelg/python-for-data-3-basic-data-types", "kernel_id": "3465705"}, {"ref": "hamelg/python-for-data-4-variables", "kernel_id": "3477950"}, {"ref": "hamelg/python-for-data-5-lists", "kernel_id": "3486060"}, {"ref": "hamelg/python-for-data-6-tuples-and-strings", "kernel_id": "3495891"}, {"ref": "hamelg/python-for-data-7-dictionaries-and-sets", "kernel_id": "3496128"}, {"ref": "hamelg/python-for-data-1-getting-started", "kernel_id": "3457272"}, {"ref": "hamelg/python-for-data-analysis-index", "kernel_id": "3456883"}, {"ref": "hamelg/python-for-data-2-python-arithmetic", "kernel_id": "3457614"}, {"ref": "hamelg/intro-to-r-part-22-probability-distributions", "kernel_id": "3104976"}, {"ref": "hamelg/intro-to-r-part-21-descriptive-statistics", "kernel_id": "3093095"}, {"ref": "hamelg/intro-to-r-part-23-confidence-intervals", "kernel_id": "3114313"}, {"ref": "hamelg/intro-to-r-part-19-base-r-plotting", "kernel_id": "3067135"}, {"ref": "hamelg/intro-to-r-part-20-plotting-with-ggplot2", "kernel_id": "3082116"}, {"ref": "hamelg/intro-to-r-part-18-frequency-tables", "kernel_id": "3021155"}, {"ref": "hamelg/intro-to-r-part-17-merging-data", "kernel_id": "3007697"}, {"ref": "hamelg/intro-to-r-part-25-chi-squared-tests", "kernel_id": "3155509"}, {"ref": "hamelg/intro-to-r-part-26-anova", "kernel_id": "3165751"}, {"ref": "hamelg/intro-to-r-part-30-random-forests", "kernel_id": "3179115"}, {"ref": "hamelg/intro-to-r-part-27-linear-regression", "kernel_id": "3176205"}, {"ref": "hamelg/intro-to-r-part-28-logistic-regression", "kernel_id": "3176493"}, {"ref": "hamelg/intro-to-r-part-29-decision-trees", "kernel_id": "3178246"}, {"ref": "hamelg/intro-to-r-part-24-hypothesis-testing", "kernel_id": "3144000"}, {"ref": "pablosuau/simple-logistic-regression-with-forward-selection", "kernel_id": "3905047"}, {"ref": "alosat/titanic-eda-plus-solution", "kernel_id": "3567026"}, {"ref": "priteshshrivastava/titanic-random-forest-with-model-explainability", "kernel_id": "3985857"}, {"ref": "economides/mlearning-with-titanic", "kernel_id": "3683835"}, {"ref": "coolman145/wcg-using-tidyverse-tools-0-82296", "kernel_id": "3415257"}, {"ref": "vikrant4/titanic-data-random-forest-logistic-regression", "kernel_id": "3052669"}, {"ref": "baranikumar/beginners-titanic-705f24", "kernel_id": "3927066"}, {"ref": "igordiasth/decision-tree", "kernel_id": "3342677"}, {"ref": "sergiorgiraldo/titanic", "kernel_id": "3637110"}, {"ref": "blomadam/generate-some-features-and-compare-4-basic-models", "kernel_id": "3053336"}, {"ref": "mobimobi/titanic-top-4-with-ensemble-modeling", "kernel_id": "3517010"}, {"ref": "ryogrid/titanic-self-submit", "kernel_id": "3510740"}, {"ref": "ikertxo1986/feature-engineering-penalized-log-regression", "kernel_id": "3884381"}, {"ref": "ikertxo1986/simple-bayes-classifier", "kernel_id": "3978613"}, {"ref": "akg334/titanic-fastai-tabular", "kernel_id": "3058522"}, {"ref": "danwilbury/titanic-daniel", "kernel_id": "3100024"}, {"ref": "florianwetschoreck/qgrid-test", "kernel_id": "3758940"}, {"ref": "eirby1/titanic-78-w-grid-search-logistic-regression", "kernel_id": "3486656"}, {"ref": "allunia/e-commerce-sales-forecast", "kernel_id": "3063140"}, {"ref": "xianglan/titanic", "kernel_id": "3299065"}, {"ref": "mingqianye/titanic-framework-e31d81", "kernel_id": "3358984"}, {"ref": "gangashankar/logistic-regression-on-the-titanic-dataset", "kernel_id": "3478019"}, {"ref": "dbcerigo/split-apply-combine-pandas-dbcerigo", "kernel_id": "3487125"}, {"ref": "garethjns/titanicsexism-fairness-in-ml", "kernel_id": "3157766"}, {"ref": "garethjns/shortest-titanic-kernel-0-79", "kernel_id": "3199035"}, {"ref": "phubert/titanic-mackenzie-aula08", "kernel_id": "3304316"}, {"ref": "phubert/titanic-mackenzie-aula10", "kernel_id": "3414783"}, {"ref": "phubert/titanic-mackenzie-aula07", "kernel_id": "3243022"}, {"ref": "phubert/titanic-mackenzie-aula05", "kernel_id": "3167120"}, {"ref": "phubert/mackenzie-bigdata-titanic-knn", "kernel_id": "3099028"}, {"ref": "mferrac/disaster-tree-ensembles", "kernel_id": "3561240"}, {"ref": "mferrac/decision-trees-for-disaster-old", "kernel_id": "3475812"}, {"ref": "rootanand/titanic-demo", "kernel_id": "3421091"}, {"ref": "harshitmakkar/titanic-who-dies-using-logistic-regr-rf-svm", "kernel_id": "3916252"}, {"ref": "caojingw/titanic-logistic-regression-rf-python", "kernel_id": "3656227"}, {"ref": "caojingw/titanic-survival-new", "kernel_id": "3720387"}, {"ref": "rushabhwadkar/titanic-suvival-prediction", "kernel_id": "3366679"}, {"ref": "masumrumi/bagging-with-titanic-dataset", "kernel_id": "3756793"}, {"ref": "masumrumi/adaboost-with-titanic-dataset", "kernel_id": "3704749"}, {"ref": "chavesfm/eda-logistic-classification-and-parameter-tuning", "kernel_id": "3804937"}, {"ref": "shreeshiv/exploring-titanic-survival-data-set", "kernel_id": "3527653"}, {"ref": "rolandkopka/first-try", "kernel_id": "3786540"}, {"ref": "habibmrad1983/titanic-neural-networks-keras-81-8", "kernel_id": "3388056"}, {"ref": "habibmrad1983/titanic-data-science-solutions-habibmrad", "kernel_id": "3391797"}, {"ref": "sagarchoudhari/logistic-regression-using-python-on-titanic-data", "kernel_id": "3436781"}, {"ref": "znevzz/binary-classification-titanic-survivors", "kernel_id": "3696416"}, {"ref": "karthickaravindan/titanic-simple-bar-chart", "kernel_id": "3939962"}, {"ref": "nerdinator/titanic-ml-model-first-comp-submission", "kernel_id": "3414789"}, {"ref": "teeradol/r-titanic-predictive-modelling", "kernel_id": "3568109"}, {"ref": "diegodz/analysis-and-survival-prediction-model", "kernel_id": "3653793"}, {"ref": "timakova/titanic-story", "kernel_id": "3259266"}, {"ref": "rajasekara/titanic-survival-prediction", "kernel_id": "3550708"}, {"ref": "thesherpafromalabama/big-data-analytics-homework-1-titanic", "kernel_id": "3003848"}, {"ref": "tylerx/titanic-kernel", "kernel_id": "3117774"}, {"ref": "stevesong/kernela22608d30d", "kernel_id": "3753177"}, {"ref": "nknarendra7/beginer-for-titanic-dataset", "kernel_id": "3688278"}, {"ref": "kailashnegi/maiden-data-science-voyage-on-kaggle-with-titanic", "kernel_id": "3817652"}, {"ref": "aashita/exercise-1", "kernel_id": "3414947"}, {"ref": "aashita/guided-session-2", "kernel_id": "3490182"}, {"ref": "aashita/exercise-4", "kernel_id": "3629719"}, {"ref": "aashita/qcl-session-1", "kernel_id": "3704265"}, {"ref": "ishivinal/hyperparamters-optimization-gs-rs-boa-tpe-hb-ga", "kernel_id": "3334577"}, {"ref": "ishivinal/machine-learning-model-evaluation-metrics", "kernel_id": "3572090"}, {"ref": "shrutimechlearn/flying-lessons-with-titanic", "kernel_id": "3047056"}, {"ref": "pauljohnson/titanic", "kernel_id": "3218027"}, {"ref": "nagulapatianusha369/titanic-sur-preds", "kernel_id": "3021555"}, {"ref": "shubhams9k96/titanic-try-02", "kernel_id": "3799056"}, {"ref": "prashanththangavel/advanced-feature-engineering-feature-encoding", "kernel_id": "3518889"}, {"ref": "atmamani/rms-titanic-the-unsinkable-eda-and-predictions", "kernel_id": "3392058"}, {"ref": "ceci2017/01-titanic", "kernel_id": "3476166"}, {"ref": "phithor/titanic-using-fast-ai-tabular", "kernel_id": "3056616"}, {"ref": "svcuonghvktqs/test-kernel", "kernel_id": "3162621"}, {"ref": "chitralc1/random-forest-on-titanic-data-set", "kernel_id": "3702684"}, {"ref": "currypurin/tutorial-of-kaggle-ver3-ch5-optuna-ex", "kernel_id": "3791779"}, {"ref": "currypurin/tutorial-of-kaggle-ver3-hurokub", "kernel_id": "3506508"}, {"ref": "currypurin/tutorial-of-kaggle-ver3-ch5", "kernel_id": "3486978"}, {"ref": "currypurin/tutorial-of-kaggle-ver3-ch3", "kernel_id": "3474899"}, {"ref": "currypurin/tutorial-of-kaggle-ver3-ch4", "kernel_id": "3476153"}, {"ref": "currypurin/profile", "kernel_id": "3533528"}, {"ref": "currypurin/tutorial-of-kaggle-ver3-hurokua", "kernel_id": "3575277"}, {"ref": "akash14/titanic-machine-learning-kernel", "kernel_id": "3115010"}, {"ref": "kws4679/titanic-data", "kernel_id": "3471119"}, {"ref": "kishanbs/titanic1", "kernel_id": "3007785"}, {"ref": "swatisinghal/titanic-permutation-importance", "kernel_id": "3008814"}, {"ref": "rameshvishnoi/titanic-ml-problem", "kernel_id": "3349584"}, {"ref": "berrywedi/titanic-kaggle-challenge", "kernel_id": "3775788"}, {"ref": "alchrist90/titanic-classification-model-tuning", "kernel_id": "3861583"}, {"ref": "chahat1/titanic-survival-prediction", "kernel_id": "3167197"}, {"ref": "eedubraz/first-kaggle-competition-titanic-top-12", "kernel_id": "3674157"}, {"ref": "mamtapandit261/titanic-survival-prediction", "kernel_id": "3120241"}, {"ref": "shtyd00/kernel02cb7e9d84", "kernel_id": "3775588"}, {"ref": "odette112/titanic-project", "kernel_id": "3179309"}, {"ref": "longfin/kernelb9ef8e3c0e", "kernel_id": "3435869"}, {"ref": "philipg/random-forest-75", "kernel_id": "3378207"}, {"ref": "jijokjose/titanic-amazon-tf1-3", "kernel_id": "3366968"}, {"ref": "ankitdhall97/basic-machine-learning", "kernel_id": "3176947"}, {"ref": "thirumani/titanic-randomforest", "kernel_id": "3486262"}, {"ref": "thirumani/titanic-data-analysis-using-logistic-regression", "kernel_id": "3465173"}, {"ref": "swamysm/modeling-titanic-data", "kernel_id": "3777505"}, {"ref": "uchidamasatoshi/lightgbm-to-predict-titanic-data", "kernel_id": "3261881"}, {"ref": "alafan/titanic-final", "kernel_id": "3530248"}, {"ref": "alafan/titanic-testing-of-different-models", "kernel_id": "3108840"}, {"ref": "davids98/titanic-challenge", "kernel_id": "3370035"}, {"ref": "apoorvm/titanic-prac", "kernel_id": "3047821"}, {"ref": "vikumsw/beginners-basic-workflow-introduction", "kernel_id": "3976915"}, {"ref": "bharadwajpoduri7/titanic-disaster", "kernel_id": "3319977"}, {"ref": "ajisamudra/survivor-of-titanic-prediction", "kernel_id": "3707628"}, {"ref": "daftintrovert/titanic-survival-seaborn-and-ensembles", "kernel_id": "3563467"}, {"ref": "daftintrovert/10-steps-to-become-a-data-scientist", "kernel_id": "3294727"}, {"ref": "daftintrovert/titanic-machine-learning-from-disaster", "kernel_id": "3271933"}, {"ref": "daftintrovert/logistic-regression", "kernel_id": "3350906"}, {"ref": "heyjude84/titanic-tutorial", "kernel_id": "3086691"}, {"ref": "srishilesh/titanic-solution", "kernel_id": "3709207"}, {"ref": "srishilesh/titanic-data-science-solutions", "kernel_id": "3682034"}, {"ref": "carlaprv/exploring-titanic-data-and-features", "kernel_id": "3238841"}, {"ref": "manish9107/data-exploration-classification-using-regression", "kernel_id": "3666702"}, {"ref": "curlyspeaker/baseline", "kernel_id": "3407096"}, {"ref": "wakamezake/tensorflow-2-0-boostedtree-sample", "kernel_id": "3180560"}, {"ref": "chulongli/titanic-project", "kernel_id": "3864968"}, {"ref": "jian2017/titanic-kaggle", "kernel_id": "3189884"}, {"ref": "alexahdp/titanic-dataset", "kernel_id": "3045918"}, {"ref": "chavasujan/random-forest-for-prediction", "kernel_id": "3694425"}, {"ref": "smitsheth/kernelc39f2ad0d9", "kernel_id": "3676908"}, {"ref": "duverj/tutorial-logistic-regression", "kernel_id": "3247541"}, {"ref": "cometouniverse/1st-titanic-analysis", "kernel_id": "3908664"}, {"ref": "tazunao/intro-to-ensembling-stacking-in-python-forked", "kernel_id": "3159306"}, {"ref": "sukrullex/data-analysis-pre-processing-with-pandas", "kernel_id": "3632859"}, {"ref": "vaasha/stratified-test-train-split", "kernel_id": "3609970"}, {"ref": "sathutr/titanic-analysis", "kernel_id": "3323729"}, {"ref": "tarunpaparaju/titanic-competition-how-top-lb-got-their-score", "kernel_id": "3139705"}, {"ref": "tarunpaparaju/titanic-random-survival-prediction", "kernel_id": "3109080"}, {"ref": "ichabuddaeta/did-you-last-name-help-you-survive", "kernel_id": "3660079"}, {"ref": "ichabuddaeta/features-and-such", "kernel_id": "3888452"}, {"ref": "demarsylvain/can-make-a-horse-drink", "kernel_id": "3722032"}, {"ref": "salomao2005/titanic-new-view", "kernel_id": "3387288"}, {"ref": "askolkova/titanic-data-preparation-model-comparison-a-s", "kernel_id": "3944374"}, {"ref": "anvesh525/seaborn-reference", "kernel_id": "3479636"}, {"ref": "marcosmedvescig/xgboost-bayesian-search-cv-titanic-data", "kernel_id": "3735101"}, {"ref": "genivaljunior/titanic-competition", "kernel_id": "3030183"}, {"ref": "electrozoa/kernel675e370465", "kernel_id": "3803887"}, {"ref": "xaxetrov/ml-training-our-first-challenge-titanic", "kernel_id": "3680586"}, {"ref": "sawid93/titanic-py", "kernel_id": "3156652"}, {"ref": "alexandersaunders/simple-kaggle-intro", "kernel_id": "3426465"}, {"ref": "hansonnn/kerneld786e401ae", "kernel_id": "3501511"}, {"ref": "ryost20/titanic-submission", "kernel_id": "3167783"}, {"ref": "developerswork/titanic-disaster", "kernel_id": "3492408"}, {"ref": "echarl2/titanic-with-hyperopt", "kernel_id": "3639921"}, {"ref": "vivekma/logistic-regression-model-vg", "kernel_id": "3658749"}, {"ref": "reese51/titanic-project-using-ml-sci-kit-learn-textbook", "kernel_id": "3610265"}, {"ref": "candybains/titanic-ml-first-ml-project", "kernel_id": "3298364"}, {"ref": "sasiking/titanic-prediction", "kernel_id": "3048663"}, {"ref": "kashirawork/kernel2b7b46e00c", "kernel_id": "3753607"}, {"ref": "sauravkantkumar/titanic-survivors-prediction", "kernel_id": "3172076"}, {"ref": "dan3dewey/titanic-confusion-dots-plot", "kernel_id": "3580793"}, {"ref": "maxl11/tempp", "kernel_id": "3537334"}, {"ref": "fatmakursun/titanic-classification-models", "kernel_id": "3143250"}, {"ref": "akm5160/deep-classification-beginner-tensorflow", "kernel_id": "3310634"}, {"ref": "joshjanjua/titanic-comp", "kernel_id": "3350291"}, {"ref": "iavinas/titanic-top-10-percent-simple-solution-and-eda", "kernel_id": "3744105"}, {"ref": "codesail/titanic-with-feature-engineering-and-ensemble", "kernel_id": "3081161"}, {"ref": "codesail/titanic-practice-data-engineering", "kernel_id": "3047572"}, {"ref": "aleksandradeis/demo-of-basic-statistics-concepts", "kernel_id": "3208960"}, {"ref": "sushmita79/titanic-dataset-with-random-forest-algorithm", "kernel_id": "3533738"}, {"ref": "grossmend/titanic-simple-deep-learning-by-keras", "kernel_id": "3439019"}, {"ref": "ankitjaadoo/selling-life-insurance-to-titanic-passengers", "kernel_id": "3098067"}, {"ref": "clare3/titanic-2019-neural-network", "kernel_id": "3030084"}, {"ref": "clare3/titanic-2019-notes-and-manual-editing", "kernel_id": "3028216"}, {"ref": "pirivan/titanic-a-three-kernels-mini-series", "kernel_id": "3375851"}, {"ref": "ahmednour/titanic-logistic-regression", "kernel_id": "3786308"}, {"ref": "fujiki0919/simple-lgb-just-for-running-lgb", "kernel_id": "3181334"}, {"ref": "oumaimafassi/titanic-sub", "kernel_id": "3325671"}, {"ref": "michaelshoemaker/tips-for-beginners-in-r-notebooks", "kernel_id": "3438792"}, {"ref": "theshashthing/titanic-sub-1", "kernel_id": "3705646"}, {"ref": "blwowski/titanic-brandon", "kernel_id": "3335767"}, {"ref": "advaithjai/titanic-prediction", "kernel_id": "3689131"}, {"ref": "jmartindelasierra/titanic-survival-with-c5-0", "kernel_id": "3644065"}, {"ref": "luancaius/titanic-v2", "kernel_id": "3090781"}, {"ref": "menanaeem/titanic", "kernel_id": "3536805"}, {"ref": "panfritters/titanic-prediction-notebook", "kernel_id": "3271718"}, {"ref": "sishihara/upura-kaggle-tutorial-01-first-submission", "kernel_id": "3427294"}, {"ref": "sishihara/upura-kaggle-tutorial-02-overview", "kernel_id": "3435511"}, {"ref": "sishihara/kaggle-logger-introduction", "kernel_id": "3793565"}, {"ref": "vishnu123/titanic-dataset-by-naruke", "kernel_id": "3519484"}, {"ref": "sfagbamila/kernel8a0cb26fb2", "kernel_id": "3438089"}, {"ref": "ladduci/titanic-gradient-booster", "kernel_id": "3962050"}, {"ref": "ladduci/titanic-random-forest", "kernel_id": "3961789"}, {"ref": "ftnext/spzcolab-techbook6", "kernel_id": "3282100"}, {"ref": "ftnext/kaggle-spzcolab-201903", "kernel_id": "3123934"}, {"ref": "ftnext/kaggle-spzcolab-online", "kernel_id": "3134067"}, {"ref": "milanhavir/titanic-journey-over-different-classifiers", "kernel_id": "3223840"}, {"ref": "raju136/titanic-prediction-beginner", "kernel_id": "3552343"}, {"ref": "uvxy1234/titanic-survival-prediction", "kernel_id": "3710871"}, {"ref": "rafvasq/titanic-practice", "kernel_id": "3447928"}, {"ref": "sachingg/titanic-eda", "kernel_id": "3344079"}, {"ref": "raumonsa11/titanic-prediction-with-classification-models", "kernel_id": "3303924"}, {"ref": "slehkyi/titanic-competition", "kernel_id": "3919899"}, {"ref": "ziaali/binary-classification-titanic-model", "kernel_id": "3918498"}, {"ref": "satanisz/dataworkshop1-day4-titanic", "kernel_id": "3378578"}, {"ref": "vgadevik/titanic-analysis", "kernel_id": "3222197"}, {"ref": "sadmansobhan/first-submission-random-forest", "kernel_id": "3250485"}, {"ref": "torresdavr/titanic-dataset-analysis", "kernel_id": "3188906"}, {"ref": "yashkantharia/simple-catboost-classification", "kernel_id": "3167031"}, {"ref": "pringle/class-project-priyank-john", "kernel_id": "3661696"}, {"ref": "elwlslek/titanic-eda-to-predict", "kernel_id": "3190381"}, {"ref": "eyalerez/titanicdl", "kernel_id": "3378466"}, {"ref": "sankalp99/try-2", "kernel_id": "3384656"}, {"ref": "ken10249/titanic-with-gradientboostingclassifier", "kernel_id": "3575766"}, {"ref": "alexc957/getting-started-with-titanic-competition", "kernel_id": "3570249"}, {"ref": "siddheshsathe/titanic", "kernel_id": "3986591"}, {"ref": "snorris108/hw9-norris", "kernel_id": "3719974"}, {"ref": "basjacob17/titanic-intro-data-analysis-prediction", "kernel_id": "3812963"}, {"ref": "martinab/titanic-eda", "kernel_id": "3379733"}, {"ref": "yumaloop/titanic-data-science-solutions", "kernel_id": "3502805"}, {"ref": "nlearn/tanic-rf", "kernel_id": "3306959"}, {"ref": "smivvla/titanic-kernel", "kernel_id": "3326054"}, {"ref": "czajkuba/titanic-with-rf", "kernel_id": "3712623"}, {"ref": "hiro310/titanic-tree", "kernel_id": "3034609"}, {"ref": "iepsenn/random-forest-vs-decision-tree-vs-mlp-vs-xgboost", "kernel_id": "3609544"}, {"ref": "mattsant/first-attempt-at-solving-the-titanic-database", "kernel_id": "3210717"}, {"ref": "eitarox/kaggle", "kernel_id": "3325551"}, {"ref": "malviyanshivam/kernel6763d4ba6c", "kernel_id": "3626701"}, {"ref": "acasti55/rms-titanic-eda-pca-and-xgboost", "kernel_id": "3146658"}, {"ref": "imvinaysharma/launch-pad", "kernel_id": "3335456"}, {"ref": "ranjith26/titanic-survival-prediction", "kernel_id": "3386515"}, {"ref": "devinaconley/titanic-various-models-w-parameter-tuning", "kernel_id": "3414705"}, {"ref": "chaitanyamadaka/eda-to-prediction-dietanic", "kernel_id": "3149781"}, {"ref": "nikhil1505/titanic-best-model-to-predict", "kernel_id": "3466179"}, {"ref": "sumeetavg/complete-titanic-project", "kernel_id": "3537169"}, {"ref": "priyankacp/titanic-survival-predictions", "kernel_id": "3896879"}, {"ref": "waiyujack/fork-of-introduction-to-ensembling-stacking-in-pyt", "kernel_id": "3055491"}, {"ref": "ayushyuvraj/titanic-attaining-perfection", "kernel_id": "3321905"}, {"ref": "achan1984/beginner-titanic-ml", "kernel_id": "3134927"}, {"ref": "moshel/ludwig-automl", "kernel_id": "3083852"}, {"ref": "abhishekdobhal/neural-network-without-libraries-classification", "kernel_id": "3358480"}, {"ref": "kvkr1997/eda-for-predicting-survivability", "kernel_id": "3321431"}, {"ref": "anil777/introduction-to-decision-trees-titanic-practice", "kernel_id": "3525369"}, {"ref": "anil777/titanic-data-logistic-regression-practice", "kernel_id": "3523111"}, {"ref": "adrianoavelar/model-thats-breaks-0-8-score-for-titanic-problem", "kernel_id": "3546227"}, {"ref": "adrianoavelar/titanic-evolutionary-algorithm-python", "kernel_id": "3614931"}, {"ref": "nanji200/titanic-project-keras-by-nanji", "kernel_id": "3275939"}, {"ref": "nanji200/titanic-project-by-nanji-new", "kernel_id": "3152884"}, {"ref": "playlist/scikit-learn-titanic-competition", "kernel_id": "3377299"}, {"ref": "hamzarhibi/titanic-eda-xgboost", "kernel_id": "3194496"}, {"ref": "hirotaka0122/titanic-first-time", "kernel_id": "3818887"}, {"ref": "mohabdiab/titanic", "kernel_id": "3782008"}, {"ref": "vik1511/titanic-survival-prediction", "kernel_id": "3465093"}, {"ref": "soumensarker/partial-dependence-plots", "kernel_id": "3325370"}, {"ref": "reneang/ensemble-classification-titanic-survival", "kernel_id": "3927316"}, {"ref": "teacake/titanic-randomforest-78", "kernel_id": "3197877"}, {"ref": "rubenb1234/logistic-regression-to-predict-survival-on-titanic", "kernel_id": "3471121"}, {"ref": "ketanp79/titanic-survival-prediction", "kernel_id": "3970052"}, {"ref": "namratesh/titanic-machine-learning-from-disaster", "kernel_id": "3635350"}, {"ref": "david89222/titanic-logistic-regression-model-with-r", "kernel_id": "3024812"}, {"ref": "ewillis199/kernelbba9b65530", "kernel_id": "3258113"}, {"ref": "ianstone/cross-platform-analysis-with-python-and-r-shiny", "kernel_id": "3004636"}, {"ref": "nsvr57/titanic-prediction-with-logit", "kernel_id": "3694169"}, {"ref": "anidata/kernel9228521b5c", "kernel_id": "3754920"}, {"ref": "sunixliu/titanic-keras-pca-0-81", "kernel_id": "3960651"}, {"ref": "djousto/titanic-in-french", "kernel_id": "3508409"}, {"ref": "shriramganesh/diving-deep-into-titanic-data", "kernel_id": "3599300"}, {"ref": "umutyunusoglu/titanic-predict-the-survivors", "kernel_id": "3447008"}, {"ref": "swarmcom/kernel4b43df3a23", "kernel_id": "3527990"}, {"ref": "fjdksl123859/iot-hw", "kernel_id": "3806803"}, {"ref": "czyzewski/kaggle-titanic-u2i", "kernel_id": "3522302"}, {"ref": "hooooooooon/kernel7b0d79f49b", "kernel_id": "3911244"}, {"ref": "tortelee/tantanic", "kernel_id": "3699479"}, {"ref": "paliramuk/simple-eda-modelling", "kernel_id": "3355602"}, {"ref": "shashwat422/titanic-using-kernel-svm-with-rbf-kernel", "kernel_id": "3585586"}, {"ref": "manufacturingai/eda-and-prediction-with-fastai", "kernel_id": "3505712"}, {"ref": "subhabratatripathy/titanic-disaster-survival-algorithm", "kernel_id": "3109964"}, {"ref": "eschullert/titanic-survival-predictions", "kernel_id": "3068434"}, {"ref": "supereng/titanic-hb-all-in-one-80-1", "kernel_id": "3770011"}, {"ref": "shunichiuehara/lightgbm-with-optuna", "kernel_id": "3205554"}, {"ref": "patriciod/titanic-datalab", "kernel_id": "3099261"}, {"ref": "galiph/titanic-explorary-data-analysis", "kernel_id": "3189069"}, {"ref": "gersanizq/intento1-aplicaci-n-datalab", "kernel_id": "3101111"}, {"ref": "hawlkim/kernel00b82a672a", "kernel_id": "3037189"}, {"ref": "subham121singh/titanic-predicting-dead-or-alive", "kernel_id": "3339990"}, {"ref": "lxn1021/titanic-survivors-classification", "kernel_id": "3146400"}, {"ref": "billusahu0/titanic-machine-learning-from-disaster", "kernel_id": "3167802"}, {"ref": "talk2ranjanktr/titanic-competitions", "kernel_id": "3465827"}, {"ref": "snocco/80-a-tour-on-the-titanic-testing-many-functions", "kernel_id": "3365084"}, {"ref": "starkark31/ann-titanic-survival", "kernel_id": "3364188"}, {"ref": "pradeeshbm/titanic-survival-prediction", "kernel_id": "3149795"}, {"ref": "augustus0498/titanic-disaster-eda-and", "kernel_id": "3465002"}, {"ref": "cesarferreiragermano/sailing-on-titanic", "kernel_id": "3933409"}, {"ref": "manshul89/titanic-project", "kernel_id": "3245256"}, {"ref": "dadangah/logistic-regression", "kernel_id": "3457118"}, {"ref": "zhangjili/kernele9999e8c8f", "kernel_id": "3392610"}, {"ref": "kaerunantoka/titanic-pytorch-nn-tutorial", "kernel_id": "3377876"}, {"ref": "heuingttiang/approximate-process-for-data-analysis-simple-ver", "kernel_id": "3476653"}, {"ref": "firstbloody/titanic-0-79-0-81-with-simple-svm", "kernel_id": "3026580"}, {"ref": "enespolat/predicting-the-survival-of-titanic-passengers", "kernel_id": "3318669"}, {"ref": "abhijitbiswas040/my-first-kernel-for-titanic-dataset", "kernel_id": "3083671"}, {"ref": "priyakatta/titanic-kernel", "kernel_id": "3563164"}, {"ref": "hand75/titanic-disaster", "kernel_id": "3316134"}, {"ref": "joseterrazas1/prueba-titanic", "kernel_id": "3018761"}, {"ref": "ashish278/titanic-prediction", "kernel_id": "3131761"}, {"ref": "ssaketh97/the-titanic-disaster", "kernel_id": "3407749"}, {"ref": "shubhlgndry/titanic-machine-learning-from-disaster", "kernel_id": "3387547"}, {"ref": "zippyz/very-simple-titanic-predicting-survivors-rf", "kernel_id": "3227164"}, {"ref": "countrymen/titanc-1", "kernel_id": "3900602"}, {"ref": "aditya100/83-accuracy-titanic-prediction", "kernel_id": "3382545"}, {"ref": "irene29/titanic", "kernel_id": "3918005"}, {"ref": "pavlofesenko/simplest-top-10-titanic-0-80861", "kernel_id": "3027202"}, {"ref": "sandey42/kernelafe8abae9a", "kernel_id": "3830377"}, {"ref": "himusoni/best-titanic-survival-for-starter-score-top-2", "kernel_id": "3575803"}, {"ref": "hieu1344/titanic-eda-machine-learning-beginner", "kernel_id": "3910454"}, {"ref": "chipirek/titanic-my-first-kernel", "kernel_id": "3018693"}, {"ref": "ashayghiya/titanic-svm", "kernel_id": "3799715"}, {"ref": "krskaggle18/krs-kaggle-titanic", "kernel_id": "3192075"}, {"ref": "santoshcbit2002/titanic-dataset-prediction-top-35", "kernel_id": "3989979"}, {"ref": "txp142130/titanic-machine-learning-classification", "kernel_id": "3548658"}, {"ref": "hshimada/titanic-ver-1", "kernel_id": "3808969"}, {"ref": "syaleandro/titanic", "kernel_id": "3415843"}, {"ref": "prashantmahamuni/titanic-machine-learning-from-disaster", "kernel_id": "3644422"}, {"ref": "bpablo27/algoritmo-apriori", "kernel_id": "3380652"}, {"ref": "sarthakbatra/titanic-eda-and-logistic-regression", "kernel_id": "3282978"}, {"ref": "leenamusale/titanic-logisticregression", "kernel_id": "3560048"}, {"ref": "asvskartheek/beginner-attempt-titanic", "kernel_id": "3915248"}, {"ref": "akdagmelih/titanic-competition-machine-learning", "kernel_id": "3643292"}, {"ref": "varun0727/titanic-machine-learning-from-disaster", "kernel_id": "3439430"}, {"ref": "peterjay/kernel40ec295c9f", "kernel_id": "3588287"}, {"ref": "brudi16/eda-titanic", "kernel_id": "3984542"}, {"ref": "valentindb/homework-1-titanic", "kernel_id": "3044659"}, {"ref": "mrgui94/kernel52eee7a200", "kernel_id": "3890342"}, {"ref": "bassjo/kaggle-titanic-tutorial", "kernel_id": "3598320"}, {"ref": "mihirk107/titanic-survival-predictions-top-15-percent", "kernel_id": "3464835"}, {"ref": "qclodd/machine-learning-titanic-disaster", "kernel_id": "3386770"}, {"ref": "thoffy/titanic-survival-prediction-with-stacked-model", "kernel_id": "3108283"}, {"ref": "shaaya/titanic-by-shayaqhmetov", "kernel_id": "3908135"}, {"ref": "yumamin/kernel27e55327d7", "kernel_id": "3130412"}, {"ref": "dsvijayaraghavan/vra-titanic", "kernel_id": "3905159"}, {"ref": "yaoboo/kernel60164e7857", "kernel_id": "3532760"}, {"ref": "gaddar/a-data-science-framework-to-achieve-99-ac-64965c", "kernel_id": "3616688"}, {"ref": "gaddar/titanic-data-science-solutions", "kernel_id": "3590986"}, {"ref": "gaddar/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "3590604"}, {"ref": "gaddar/titanic", "kernel_id": "3600086"}, {"ref": "raiaman15/simple-python-titanic-problem", "kernel_id": "3147631"}, {"ref": "trang328/predict-titanic-survival-using-multiple-algorithms", "kernel_id": "3433748"}, {"ref": "hyeonyeong/titanic-easy-and-simple-for-beginner", "kernel_id": "3140004"}, {"ref": "sruthiiyer99/titanic-the-waiver-wire", "kernel_id": "3973529"}, {"ref": "xyxxyyxy/decision-tree-learning", "kernel_id": "3213031"}, {"ref": "ibrahem96/owl-titanic", "kernel_id": "3782807"}, {"ref": "offirinbar/titanic-fastai", "kernel_id": "3475474"}, {"ref": "cogitator/working-with-titanic-data", "kernel_id": "3471821"}, {"ref": "ravitejay/kernele7589134de", "kernel_id": "3497146"}, {"ref": "paritoshg2010/titanic-disaster-survived-prediction", "kernel_id": "3269318"}, {"ref": "tmznql1234/titanic-machine-learning-from-disaster", "kernel_id": "3521345"}, {"ref": "msamiran94/titanic-prediction-ml-code-with-85-accuracy", "kernel_id": "3408745"}, {"ref": "asif093/titanic-disaster-project-complete-eda-and-ml", "kernel_id": "3649606"}, {"ref": "aakashg339/titanic-predicting-passengers-that-survived", "kernel_id": "3817461"}, {"ref": "vladtasca/titanic-random-forest-80", "kernel_id": "3359554"}, {"ref": "singlapreeti942/titanic", "kernel_id": "3771970"}, {"ref": "hyunlord/titanictest", "kernel_id": "3747161"}, {"ref": "brussell757/titanic-survival-classification", "kernel_id": "3092928"}, {"ref": "syrym95/kernele093e03f86", "kernel_id": "3939580"}, {"ref": "tanujaya/kernel2", "kernel_id": "3800343"}, {"ref": "tanujaya/kerneltitanic1", "kernel_id": "3642950"}, {"ref": "mkd1997/titanic-machine-learning-from-disaster", "kernel_id": "3018291"}, {"ref": "reljod/my-first-kaggle-competition-titanic", "kernel_id": "3631578"}, {"ref": "lakshmipalla/first-project", "kernel_id": "3141955"}, {"ref": "ewaewaewa/titanic-survived", "kernel_id": "3516892"}, {"ref": "claudia9/titanic-data-analysis", "kernel_id": "3640535"}, {"ref": "jaysonruzario/titanic-draft", "kernel_id": "3488972"}, {"ref": "mohamedg/titanic-training", "kernel_id": "3284666"}, {"ref": "sumithra77/titanic-disaster", "kernel_id": "3927044"}, {"ref": "matheuspush/first-random-forest-model", "kernel_id": "3235031"}, {"ref": "mhchequers/titanic-using-logistic-regression", "kernel_id": "3287552"}, {"ref": "faezakamran/partial-dependence-plots", "kernel_id": "3086955"}, {"ref": "faezakamran/partial-dependence-plots-8e9ee3", "kernel_id": "3228511"}, {"ref": "sohaibanwaar1203/titanic-machine-learning", "kernel_id": "3102615"}, {"ref": "none111/fork-of-titanic-data-science", "kernel_id": "3377168"}, {"ref": "none111/titanic-data-science", "kernel_id": "3376751"}, {"ref": "daftby/exercicio-nb-01", "kernel_id": "3786214"}, {"ref": "jordanroldan/kernelb6f33b758b", "kernel_id": "3791890"}, {"ref": "uttaramsawant/hands-on-ml-using-titanic-kernel", "kernel_id": "3499551"}, {"ref": "indigosphinx/titanic-data-solution", "kernel_id": "3803264"}, {"ref": "denizkavi1/pipeline-for-house-price-regression", "kernel_id": "3567985"}, {"ref": "denizkavi1/feature-selection-with-genetic-algorithm-fork-run", "kernel_id": "3559527"}, {"ref": "siltrim/kernel58345f6c62", "kernel_id": "3931427"}, {"ref": "alexanderoverton/titanic-challenge-practice", "kernel_id": "3480186"}, {"ref": "spidy20/get-a-79-accuracy-on-titanic-dataset-shortest", "kernel_id": "3621652"}, {"ref": "maungagus/predicting-survival-in-titanic", "kernel_id": "3331267"}, {"ref": "carlosgm9/regresi-n-log-stica", "kernel_id": "3220292"}, {"ref": "harshalzele/titanic-machine-learning-from-disaster", "kernel_id": "3259701"}, {"ref": "rashmeee/titanic-dataset-ml-logistic-regression-model", "kernel_id": "3200143"}, {"ref": "saidsalihefendic/first-project-titanic", "kernel_id": "3247387"}, {"ref": "joacosnchz/titanic-survival-with-tensorflow-and-keras", "kernel_id": "3478402"}, {"ref": "sija13/titanic-comp", "kernel_id": "3279965"}, {"ref": "kyungjecho/first-titanic", "kernel_id": "3372044"}, {"ref": "vigneshs20/1st-assignment", "kernel_id": "3144237"}, {"ref": "jayachander123/prediction-with-logistic-regression", "kernel_id": "3500915"}, {"ref": "youlinureon/solution-for-titanic-competitions", "kernel_id": "3521296"}, {"ref": "harsh22/titanic-problem-using-regression-analysis", "kernel_id": "3165170"}, {"ref": "hadihebat/machine-learning-assignment-one-hadi", "kernel_id": "3564461"}, {"ref": "geewynn/first-titanic-try", "kernel_id": "3881612"}, {"ref": "coxinella/titanic-let-s-check-rose-s-passengerid", "kernel_id": "3006397"}, {"ref": "weiyq18/kernel018a47efa8", "kernel_id": "3456611"}, {"ref": "cosmicakshh/r-implementation", "kernel_id": "3999042"}, {"ref": "supriyareddy123/titanic", "kernel_id": "3519098"}, {"ref": "pyy0715/titanic-analysis-with-r-rf-xgb", "kernel_id": "3321483"}, {"ref": "velbal/titanic-linear-svm-with-one-variable", "kernel_id": "3269976"}, {"ref": "akshayklr057/titanic-survival-exploration", "kernel_id": "3978623"}, {"ref": "slavikavik/titanic-attempt-w-visuals", "kernel_id": "3404280"}, {"ref": "coldjune/titanic-with-diff-model", "kernel_id": "3603937"}, {"ref": "jsurabhi94/testing-different-classifiers-titanic-data", "kernel_id": "3616839"}, {"ref": "dauchara/kernel39949ab40e", "kernel_id": "3935098"}, {"ref": "elcaiseri/titanic-getting-starts-with-kaggle-competitions", "kernel_id": "3244926"}, {"ref": "vh1981/kaggle-titanic-keras", "kernel_id": "3646391"}, {"ref": "sdeagggg/titanic-with-xgb", "kernel_id": "3043945"}, {"ref": "tatsuyay3/sample", "kernel_id": "3755620"}, {"ref": "daryafaiq/titanic-using-svm", "kernel_id": "3580731"}, {"ref": "suddho/kernel600bcedb82", "kernel_id": "3463744"}, {"ref": "alefsegura/titanic-prediction-warmstarting", "kernel_id": "3238811"}, {"ref": "ankitch1337/titanic-using-ml-basic", "kernel_id": "3425946"}, {"ref": "sueg2004/titanic-analysis-first-kaggle-kernel", "kernel_id": "3292188"}, {"ref": "sherrytp/titanic-analysis", "kernel_id": "3620208"}, {"ref": "sherrytp/feature-engineering-tutorial-with-titanic", "kernel_id": "3713322"}, {"ref": "elhmadany/titanic-me2", "kernel_id": "3837691"}, {"ref": "elhmadany/titanic-me", "kernel_id": "3782968"}, {"ref": "yaqiongli/a-simple-logistic-regression-with-titanic-dataset", "kernel_id": "3247718"}, {"ref": "lethonomia/titanic-data", "kernel_id": "3302458"}, {"ref": "chriszou/titanic-with-pytorch-nn-solution", "kernel_id": "3861474"}, {"ref": "lucasjct/my-titanic", "kernel_id": "3211525"}, {"ref": "yutaoc/machine-learning-on-titanic-data", "kernel_id": "3497664"}, {"ref": "jeroenjeroen/detailed-titanic-survivability-kernel", "kernel_id": "3799269"}, {"ref": "ramezashendy/let-s-all-vote-ensemble-learning-0-803", "kernel_id": "3846140"}, {"ref": "albertdb/titanic-competition-my-1st-public-notebook", "kernel_id": "3349807"}, {"ref": "ayang98/first-titanic", "kernel_id": "3247111"}, {"ref": "vikramseth/kernel63332ae425", "kernel_id": "3020274"}, {"ref": "lys620/titanic-random-forest", "kernel_id": "3810858"}, {"ref": "mansan/survival-of-passengers-titanic-using-classi-algo", "kernel_id": "3641802"}, {"ref": "kevrchen/catboost-gridsearchcv-feature-engineering", "kernel_id": "3530178"}, {"ref": "gsakabe/feature-engineering-by-x-means", "kernel_id": "3110313"}, {"ref": "gsakabe/feature-engineering-by-k-means", "kernel_id": "3110846"}, {"ref": "matthew886/scikit-learn-ml-from-start-to-finish", "kernel_id": "3380873"}, {"ref": "sandile111/the-journey-of-a-novice-with-the-titanic", "kernel_id": "3550998"}, {"ref": "mybenzar/titanic-mb", "kernel_id": "3346227"}, {"ref": "stopinha/kernel0bc68811a6", "kernel_id": "3442444"}, {"ref": "ashiskumarp/logistic-regression-for-titanic-dataset", "kernel_id": "3408543"}, {"ref": "bashturtle/titanic-kfold-corrections-to-ensembling-tutorial", "kernel_id": "3102157"}, {"ref": "bashturtle/visualizations-for-the-titanic-dataset", "kernel_id": "3085008"}, {"ref": "bashturtle/titanic-a-thorough-analysis-for-beginners", "kernel_id": "3492281"}, {"ref": "bashturtle/seaborn-univariate-and-bivariate-plotting", "kernel_id": "3530868"}, {"ref": "bashturtle/seaborn-plotting-categorical-features", "kernel_id": "3530623"}, {"ref": "bashturtle/titanic-ensembling-with-code-comments", "kernel_id": "3543261"}, {"ref": "carlos1916/titanic-xgbclassifier", "kernel_id": "3540488"}, {"ref": "vinicius150987/machine-learning-titanic", "kernel_id": "3366930"}, {"ref": "ckcwjn/titanic", "kernel_id": "3470691"}, {"ref": "honglou/kernel878ace1c26", "kernel_id": "3415589"}, {"ref": "khushpanchal/kerneld29b274517", "kernel_id": "3472436"}, {"ref": "fegadeharish/titanic-eda-and-logistic-reg-vs-nn", "kernel_id": "3439624"}, {"ref": "tongshengliang/survival-of-titanic-passengers-gbclassifier", "kernel_id": "3658467"}, {"ref": "crisansou/titanic-automating-model-selection-using-caret", "kernel_id": "3369080"}, {"ref": "otomakorihciok/kernelf2b2914149", "kernel_id": "3240048"}, {"ref": "mt2668/titanic-disaster-survival-prediction", "kernel_id": "3320007"}, {"ref": "vivekkr970/titanic-survival-prediction", "kernel_id": "3400431"}, {"ref": "sureshrv/titanic-dataset", "kernel_id": "3611356"}, {"ref": "nchuweihuang/titanic", "kernel_id": "3752012"}, {"ref": "nchuweihuang/titanic-v2", "kernel_id": "3872031"}, {"ref": "edward136/titanic-from-edward", "kernel_id": "3397221"}, {"ref": "sa110mina/titanic-ver1-0", "kernel_id": "3026158"}, {"ref": "jeongwoobeung/my-first-step", "kernel_id": "3165674"}, {"ref": "akhileshrai/titanic-a-newcomer-s-tale", "kernel_id": "3656925"}, {"ref": "xinyueniu/eqe-kernel-ise-533", "kernel_id": "3639490"}, {"ref": "shubh247/titanic-prediction-using-ml", "kernel_id": "3250265"}, {"ref": "raghu416/insights-from-titanic-dataset", "kernel_id": "3441073"}, {"ref": "aa5tha/titanic-guide-with-sklearn-and-eda", "kernel_id": "3587260"}, {"ref": "lmadhuranga/frameworkd1-ml-classifier", "kernel_id": "3213969"}, {"ref": "jeremyjeanne/titanic-survivor-prediction-with-machine-learning", "kernel_id": "3030058"}, {"ref": "zhijunpierrewu/titanic-datavisualisation-factorplot-catplot", "kernel_id": "3092204"}, {"ref": "mysticvalley/colab-ahsan-shushrut", "kernel_id": "3631029"}, {"ref": "shyam0905/kernelda9d93ba55", "kernel_id": "3717067"}, {"ref": "volhaleusha/titanic-tutorial-encoding-feature-eng-81-8", "kernel_id": "3610082"}, {"ref": "subinium/subinium-tutorial-titanic-beginner", "kernel_id": "3075193"}, {"ref": "subinium/subinium-tutorial-titanic-intermediate", "kernel_id": "3104141"}, {"ref": "junseokchoen/my-first-submission-beginner-unfamiliar-english", "kernel_id": "3101767"}, {"ref": "ashergaga/titanic", "kernel_id": "3183555"}, {"ref": "patentryul/titanic-solution", "kernel_id": "3294252"}, {"ref": "ammarshaikh123/feature-engineering-and-scaling", "kernel_id": "3021002"}, {"ref": "subhamsharma96/clustering-meanshift", "kernel_id": "3532200"}, {"ref": "sagarprasad/titanic-survival-prediction-using-neural-network", "kernel_id": "3437613"}, {"ref": "sagarprasad/titanic-survival-tutorial-using-random-forest", "kernel_id": "3443508"}, {"ref": "adepvenugopal/predicting-titanic-disaster-survival-using-ml", "kernel_id": "3181374"}, {"ref": "sigmaset/deep-neural-net-with-optimizer-and-pipeline", "kernel_id": "3019573"}, {"ref": "paulbisto/r-titanic-script-practice", "kernel_id": "3761126"}, {"ref": "thamcw/titanicsinking-predicting-survivors", "kernel_id": "3646279"}, {"ref": "ecemboluk/survived-predict-with-classification-algorithms", "kernel_id": "3058030"}, {"ref": "danjkelman/titanic", "kernel_id": "3012206"}, {"ref": "kwokwh/titanic-regression-decision-tree-xgb-boosting", "kernel_id": "3437054"}, {"ref": "pirozhiki/fork-of-test-gradientboostingclassifier", "kernel_id": "3239625"}, {"ref": "mralakija/titanic-who-survived-who-did-not", "kernel_id": "3322141"}, {"ref": "minonapoletano2018/logistic-regression-prediciton-for-titanic", "kernel_id": "3089662"}, {"ref": "shivam928/titanic-doa", "kernel_id": "3240155"}, {"ref": "sunnywcwong/titanic-ml", "kernel_id": "3513416"}, {"ref": "ozzeta/titanic-eda", "kernel_id": "3889381"}, {"ref": "rotemshalev/titanic-based-on-trevor-stephens-s-tutorial", "kernel_id": "3483732"}, {"ref": "jiegeng94/do-you-enjoy-traveling-alone-focus-on-companions", "kernel_id": "3093302"}, {"ref": "fireball684/titanic-visualisation", "kernel_id": "3614282"}, {"ref": "fireball684/titanic-101xgb", "kernel_id": "3943377"}, {"ref": "ismailmks/kernel0575fbc248", "kernel_id": "3284516"}, {"ref": "rahuletikala/rahul-etitanic", "kernel_id": "3826744"}, {"ref": "puremjlee/mj-titanic", "kernel_id": "3482361"}, {"ref": "abhijeet0101/titanic-c41501", "kernel_id": "3141366"}, {"ref": "nsilman/titanic-3-svc", "kernel_id": "3509470"}, {"ref": "smartmalar/titanic-first-ml-practicing", "kernel_id": "3504471"}, {"ref": "atsushi015/test-gender", "kernel_id": "3296978"}, {"ref": "shindeprash96/titanic-exploration-and-visualization", "kernel_id": "3283219"}, {"ref": "questionsofbroccoli/kernel4704876c06", "kernel_id": "3268235"}, {"ref": "dalilamachado/titanic-teste", "kernel_id": "3438896"}, {"ref": "dpamgautam/titanic-dataset-problem-with-logistic-regression", "kernel_id": "3146418"}, {"ref": "ritikduttads/titanic-new", "kernel_id": "3888841"}, {"ref": "sylvainfranco/titanic-xgboost-baseline", "kernel_id": "3383919"}, {"ref": "mrperezp/regresi-n-log-stica-para-reto-titanic", "kernel_id": "3020360"}, {"ref": "skpriya/titanic-data-science-solutions", "kernel_id": "3552397"}, {"ref": "mariael84/titanic-predictive-model", "kernel_id": "3475695"}, {"ref": "pjain299/titanic-survival", "kernel_id": "3110384"}, {"ref": "kelvar/titanic-analysis", "kernel_id": "3960112"}, {"ref": "chandradev12/titanic-survival-solution-using-ml", "kernel_id": "3281601"}, {"ref": "khiwila/kernel7b9b79cf3c", "kernel_id": "3518518"}, {"ref": "anna1231/titanic-daniel-y-ana", "kernel_id": "3048023"}, {"ref": "tripidhoble/titanic-dataset", "kernel_id": "3719665"}, {"ref": "mkwang/exploratory-data-analysis-for-titanic", "kernel_id": "3917707"}, {"ref": "sovitrath/titanic-a-sincere-approach", "kernel_id": "3593832"}, {"ref": "fumihikosatoh/kernelf79977a4c5", "kernel_id": "3062333"}, {"ref": "sharmamanali/titanic-survived-random-forest", "kernel_id": "3101729"}, {"ref": "steveriesenberg/titanic-xgboost", "kernel_id": "3051345"}, {"ref": "toldo171/titanic-a-beginner-guide-to-top-6", "kernel_id": "3017668"}, {"ref": "sumitmukund89/titanic-dataset-practice", "kernel_id": "3656902"}, {"ref": "aakasharora7/linear-regressor-kernel", "kernel_id": "3683392"}, {"ref": "mcn215/titanic-eda-manymodels-beginner-79425", "kernel_id": "3106727"}, {"ref": "morinja/titanic-competition-with-xgboost-gridsearchcv", "kernel_id": "3993480"}, {"ref": "rampratapvadlamani/titanic", "kernel_id": "3141401"}, {"ref": "ashery/predict-survival-on-the-titanic", "kernel_id": "3438898"}, {"ref": "micheldas01/decisiontree-vs-random-forest-classification", "kernel_id": "3615643"}, {"ref": "lutong703/code-from-lu", "kernel_id": "3053213"}, {"ref": "nzarkadas/titanic-eda-and-ml", "kernel_id": "3398293"}, {"ref": "phorekka/titanic", "kernel_id": "3677236"}, {"ref": "svpraveen/titanic-attempt-1", "kernel_id": "3122370"}, {"ref": "abhi0706/titanic-soln-new", "kernel_id": "3410124"}, {"ref": "kawakeee/titanic-decisiontreeclassifier", "kernel_id": "3220653"}, {"ref": "vineeladumpa/kernel-titanic", "kernel_id": "3220304"}, {"ref": "anhtaka/upura-kaggle-tutorial-01-first-submission", "kernel_id": "3446520"}, {"ref": "madhuri6791/titanic-machine-learning-from-disaster", "kernel_id": "3403192"}, {"ref": "wubbalubadubdub/cic-titanic-team-power-winning", "kernel_id": "3368774"}, {"ref": "henriquemm2/henrique12344", "kernel_id": "3597379"}, {"ref": "henriquemm2/kernel9f37c695ca", "kernel_id": "3597292"}, {"ref": "yurirsousa/titanic-yuri", "kernel_id": "3529366"}, {"ref": "fdonaticml/franco-titanic-model", "kernel_id": "3174758"}, {"ref": "strannik4884/simple-rf", "kernel_id": "3913543"}, {"ref": "ahmawad96/titanic-using-naive-bayes", "kernel_id": "3559235"}, {"ref": "adilka03/kerneltitanic-adiltuigimbek", "kernel_id": "3943385"}, {"ref": "ashwinbhatt/kernelc6b0bd3986", "kernel_id": "3133898"}, {"ref": "imabhilash/titanic-survival", "kernel_id": "3919098"}, {"ref": "asimislam/titanic-disaster-supervised-machine-learning", "kernel_id": "3848484"}, {"ref": "fukino010/1-1-es-solver-for-titanic", "kernel_id": "3175605"}, {"ref": "yazanshannak/interactive-plots-and-story-telling", "kernel_id": "3402644"}, {"ref": "marjankh/titanic", "kernel_id": "3156704"}, {"ref": "shahidul034/interactive-intro-to-dimensionality-reduc-practise", "kernel_id": "3575646"}, {"ref": "torsteinh/first-kernel-right-in-the-middle", "kernel_id": "3078126"}, {"ref": "maxdierschke/kernel7ff6841a3e", "kernel_id": "3046491"}, {"ref": "ghousethanedar/titanic-dataset", "kernel_id": "3812986"}, {"ref": "perugupalliharini/kernel8b6b1c7527", "kernel_id": "3980672"}, {"ref": "umeshagrawal/titanic-ml-project", "kernel_id": "3730416"}, {"ref": "sebasmtz/titanik", "kernel_id": "3049088"}, {"ref": "pelinuzun/my-first-submission-titanic-beginner", "kernel_id": "3111573"}, {"ref": "kumaml/kuma-titanic-survive-predict", "kernel_id": "3104554"}, {"ref": "darshnaik/titanic-disaster-model", "kernel_id": "3628278"}, {"ref": "axeloh/titanic-disaster-predicting-survivors", "kernel_id": "3209101"}, {"ref": "danji786/titanic", "kernel_id": "3052672"}, {"ref": "javiercote/aplicacion-datalab-itam-by-javier-cote", "kernel_id": "3073851"}, {"ref": "mattrb/titanic", "kernel_id": "3101053"}, {"ref": "o93333/titanic", "kernel_id": "3573540"}, {"ref": "jihyangkim/titanic-data-analysis-with-svm-and-rf", "kernel_id": "3427277"}, {"ref": "devsanjay/titanic-top-4-with-ensemble-modeling", "kernel_id": "3073281"}, {"ref": "ricardotm/dl-itam-app-ricardo", "kernel_id": "3100716"}, {"ref": "shafahad756/titanic-survival", "kernel_id": "3144862"}, {"ref": "terminate9298/titanic-first-solution", "kernel_id": "3874345"}, {"ref": "narenderbansl/experiment-with-titanic-dataset", "kernel_id": "3700956"}, {"ref": "gopalkrishnans/titanic-data", "kernel_id": "3171996"}, {"ref": "venkateshdeepak/titanic-mlp", "kernel_id": "3437275"}, {"ref": "venkateshdeepak/random-forest", "kernel_id": "3444610"}, {"ref": "venkateshdeepak/titanicfirst-lr", "kernel_id": "3054793"}, {"ref": "venkateshdeepak/titanicsvm", "kernel_id": "3131322"}, {"ref": "venkateshdeepak/new-mlp", "kernel_id": "3796744"}, {"ref": "frank2015/titanic-data-science-solutions", "kernel_id": "3221903"}, {"ref": "analaugr/the-lucky-survivors", "kernel_id": "3061405"}, {"ref": "davidv12/logistic-regression", "kernel_id": "3100895"}, {"ref": "ianatk/firstkernel", "kernel_id": "3696010"}, {"ref": "adikeshri/titanic-survival-prediction-79-using-xgb", "kernel_id": "3755153"}, {"ref": "adikeshri/titanic-survival-prediction-using-xgboost", "kernel_id": "3658558"}, {"ref": "danielrvbi/mycodel", "kernel_id": "3150853"}, {"ref": "heyi2020/kernel45eb426644", "kernel_id": "3442707"}, {"ref": "ashank19/machine-learning-on-titanic-dataset", "kernel_id": "3889813"}, {"ref": "pr0gmtc/simple-af-randomforestclassifier", "kernel_id": "3252914"}, {"ref": "khalidzaki/titanic-tr", "kernel_id": "3792693"}, {"ref": "majosedcast/kernelc5d2e72dff", "kernel_id": "3092386"}, {"ref": "riteshrajput9/titanic-beginner-solution", "kernel_id": "3074752"}, {"ref": "kalorincz/short-and-simple-solution-with-feature-selection", "kernel_id": "3921216"}, {"ref": "rupeshmahal9/titanic", "kernel_id": "3716804"}, {"ref": "quimizf/rbf-svm-titanic-prediction-1", "kernel_id": "3101094"}, {"ref": "joshuaou/titanic", "kernel_id": "3526917"}, {"ref": "umemiyaumeume/sugoku-yabai-desu", "kernel_id": "3092376"}, {"ref": "patrickpding/titanic-analysis", "kernel_id": "3348180"}, {"ref": "takepkaggle/titanic", "kernel_id": "3101754"}, {"ref": "aseel03/deepdream", "kernel_id": "3463927"}, {"ref": "sixtailcat/so-this-is-what", "kernel_id": "3106005"}, {"ref": "jirakst/titanic-auc-92", "kernel_id": "3113315"}, {"ref": "christoph01/titanic-prediction-task", "kernel_id": "3496734"}, {"ref": "luffyluffyluffy/titanic", "kernel_id": "3754500"}, {"ref": "luffyluffyluffy/fast-ai-titanic", "kernel_id": "3861782"}, {"ref": "luffyluffyluffy/correlation-matrix", "kernel_id": "3829261"}, {"ref": "upsidedownpotato/a-titanic-prediction", "kernel_id": "3283500"}, {"ref": "dajiaoyang/titanic-framework", "kernel_id": "3360042"}, {"ref": "dajiaoyang/ai-camp-logistic-regression-titanic-homework", "kernel_id": "3508800"}, {"ref": "shraddhasawant/titanic-learning-shraddha", "kernel_id": "3130560"}, {"ref": "syrine20/isimm-workshop", "kernel_id": "3132560"}, {"ref": "milanlukac/simple-titanic-classifier-comparator", "kernel_id": "3248050"}, {"ref": "dimanstrelok/kernel2cc35de4ae", "kernel_id": "3165417"}, {"ref": "bashelion/kernel2cc35de4ae", "kernel_id": "3452585"}, {"ref": "owaisahamad/titanic-top-4-with-ensemble-modeling", "kernel_id": "3291370"}, {"ref": "krishna8ds/titanic", "kernel_id": "3859570"}, {"ref": "chanakya07/titanic-feature-engineering", "kernel_id": "3221008"}, {"ref": "chanakya07/titanic-rf-old", "kernel_id": "3245855"}, {"ref": "biswash2046/xgb-titanic-bb", "kernel_id": "3155560"}, {"ref": "agrigoruta/dm-task-4-kaggle", "kernel_id": "3596243"}, {"ref": "kpepolossat/hkust-titanic", "kernel_id": "3716938"}, {"ref": "marcusp489/midterm-project-2", "kernel_id": "3328022"}, {"ref": "rmohashi/titanic-disaster", "kernel_id": "3991081"}, {"ref": "amaydubey07/titanic-survival-predictions-beginner", "kernel_id": "3194365"}, {"ref": "swen128/xgboost-classifier-for-the-titanic-dataset", "kernel_id": "3354472"}, {"ref": "seanhann/titanic-framework", "kernel_id": "3337503"}, {"ref": "ansdube1/titanic-dataset", "kernel_id": "3434968"}, {"ref": "jzdsml/ml-p5-predicting-titanic-survival", "kernel_id": "3415034"}, {"ref": "jeffeson/titanic-jeff", "kernel_id": "3597056"}, {"ref": "pechkin80/titanic-petin-yuriy", "kernel_id": "3350518"}, {"ref": "kummyong/titanic-surviver-with-keras", "kernel_id": "3469295"}, {"ref": "mengzhuwang/kernel6a2ba6473d", "kernel_id": "3552616"}, {"ref": "shruti2719/shruti", "kernel_id": "3941785"}, {"ref": "sirivasv/my-first-kernel", "kernel_id": "3238574"}, {"ref": "rvmzes/titanic-with-model-ensembling", "kernel_id": "3303238"}, {"ref": "saurav133/survival-prediction-titanic", "kernel_id": "3919737"}, {"ref": "astrviktor/titanic-simple-catboost-0-77511", "kernel_id": "3544002"}, {"ref": "davidraxen/titanic-my-first-real-machine-learning-model", "kernel_id": "3730226"}, {"ref": "educatedgucci/practicing-machine-learning-with-titanic-data", "kernel_id": "3394131"}, {"ref": "mattslone/titanic-dataset-logistic-regression", "kernel_id": "3551963"}, {"ref": "dobriigoblin/nad-lab-3", "kernel_id": "3861508"}, {"ref": "sandera/laba3", "kernel_id": "3706443"}, {"ref": "tqkaggle/dsi-iii-project-2", "kernel_id": "3388985"}, {"ref": "afsaja/dsi3-project2-titanic", "kernel_id": "3382434"}, {"ref": "hebahmirza/kernel55294e77fd", "kernel_id": "3373903"}, {"ref": "acbutakov/rfc-77-accuracy", "kernel_id": "3379283"}, {"ref": "acbutakov/tuned-model-82-accuracy", "kernel_id": "3439227"}, {"ref": "linsing/titanic", "kernel_id": "3364031"}, {"ref": "manoelfigueiredo/kernel068c426cb5-titanic", "kernel_id": "3646616"}, {"ref": "ishapahwa/rule-of-sea-titanic-disaster-survival-analysis", "kernel_id": "3305059"}, {"ref": "rajeshvalluri/titanicsurvivalpredictions", "kernel_id": "3531293"}, {"ref": "rajeshvalluri/titanic-copykonstantin", "kernel_id": "3615525"}, {"ref": "watch03/simple-titanic-keras", "kernel_id": "3390734"}, {"ref": "moimoijp/ensembling-and-stacking-example", "kernel_id": "3322647"}, {"ref": "mori5602/titanic-tutorial-in-japanese", "kernel_id": "3342987"}, {"ref": "albertegron/titanic-disaster-1st", "kernel_id": "3328687"}, {"ref": "askhayerga/kernelef6f336cf3", "kernel_id": "3938941"}, {"ref": "atul0204/titanic-using-neural-network", "kernel_id": "3809433"}, {"ref": "prawin129/titanic-using-logistic-reression", "kernel_id": "3446549"}, {"ref": "abbyokleung/titanic-data-science-solutions", "kernel_id": "3465530"}, {"ref": "marwahmm/kernel984e5d761f", "kernel_id": "3371180"}, {"ref": "aryan348/determining-survival-using-logistic-regression", "kernel_id": "3891119"}, {"ref": "towsifahamed/titanic-catboost", "kernel_id": "3534628"}, {"ref": "akumaldo/titanic-classification-stackingcvclassifier-keras", "kernel_id": "3546338"}, {"ref": "vetrov/titanic-80-lines-of-code-0-76", "kernel_id": "3443227"}, {"ref": "taehyungum/titanic-surviver-with-autoencorder", "kernel_id": "3481108"}, {"ref": "abdelrahmangamil/rose-gonna-survive", "kernel_id": "3782114"}, {"ref": "szweiwu/titanic-random-forest-vs-logistic-regression", "kernel_id": "3443686"}, {"ref": "y363499859/titanic-solution-top-3", "kernel_id": "3437098"}, {"ref": "artcds/titanic-crisansou-tutorial", "kernel_id": "3441083"}, {"ref": "hjoner/my-first-kernel", "kernel_id": "3595051"}, {"ref": "marian27/titanic-survival", "kernel_id": "3474467"}, {"ref": "niranjana55/titanic-prb", "kernel_id": "3423875"}, {"ref": "mohamed1993/kernelf66f760ef6", "kernel_id": "3861161"}, {"ref": "mohamed1993/kernel3389b7f3cc", "kernel_id": "3786425"}, {"ref": "coldkim/titanic-0-8-challenge", "kernel_id": "3511896"}, {"ref": "realskv/kernel1565e01c58", "kernel_id": "3466432"}, {"ref": "nazmun1996/kernel7cb3fab389", "kernel_id": "3769525"}, {"ref": "bwolf2019/titanic-competition-1st-entry", "kernel_id": "3875934"}, {"ref": "anshikakankane/titanic", "kernel_id": "3443492"}, {"ref": "arcsinh/titanic-survival", "kernel_id": "3638371"}, {"ref": "arkanivan/kernel8f69787424", "kernel_id": "3483130"}, {"ref": "tanoybhattacharya/kernele3885e2c54", "kernel_id": "3472787"}, {"ref": "ddrew78/titanic-top-4-with-ensemble-modeling", "kernel_id": "3475560"}, {"ref": "masayakondo/upura-kaggle-tutorial-01-first-submission", "kernel_id": "3456664"}, {"ref": "inextricablesquirrel/first-kernel-for-titanic", "kernel_id": "3533642"}, {"ref": "renanmav/titanic-study", "kernel_id": "3616883"}, {"ref": "frareb/gs-titanic-01-frareb-rmd", "kernel_id": "3462796"}, {"ref": "fabembri/exercicio-nb-01", "kernel_id": "3476095"}, {"ref": "clevisonreiscosta/exercicio-01-titanic", "kernel_id": "3476160"}, {"ref": "ivansv/logistic-ml-titanic", "kernel_id": "3599736"}, {"ref": "brunairlly/titanic-execicio01", "kernel_id": "3476114"}, {"ref": "gfpablo/titanic-gfpablo", "kernel_id": "3477810"}, {"ref": "nikitapande2000/kernel8d8b640a81", "kernel_id": "3533705"}, {"ref": "manuelmarucco/titanic-random-forest", "kernel_id": "3519641"}, {"ref": "gabisato/ml-titanic", "kernel_id": "3539909"}, {"ref": "gabisato/ufra-ia-titanic-kernel-vers-o-0-8", "kernel_id": "3609688"}, {"ref": "eduardonakata/kernel-eduardo-01", "kernel_id": "3563577"}, {"ref": "nomuyoshi0111/titanic-first-try", "kernel_id": "3675551"}, {"ref": "zubogain/kernel2b485c1af5", "kernel_id": "3873329"}, {"ref": "herokri/kernel51f2e8fc9b", "kernel_id": "3590494"}, {"ref": "austinpowers/titanic-edawith-bamboolib-and-embeddings", "kernel_id": "3842677"}, {"ref": "nikeshsingh/titanic-12-04-2019", "kernel_id": "3568070"}, {"ref": "oold95/kernelaaab0b3dd4", "kernel_id": "3701832"}, {"ref": "serenitydom/titanic-random-forrest", "kernel_id": "3800836"}, {"ref": "bigglepan/roses", "kernel_id": "3659109"}, {"ref": "magedtalaat/code-hb", "kernel_id": "3792084"}, {"ref": "magedtalaat/maged-titanic", "kernel_id": "3792318"}, {"ref": "magedtalaat/maged-talaat", "kernel_id": "3793001"}, {"ref": "magedtalaat/maged-mohamed-talaat", "kernel_id": "3784088"}, {"ref": "magedtalaat/titanic-hb", "kernel_id": "3886637"}, {"ref": "clelong95/titanic", "kernel_id": "3594258"}, {"ref": "iremferliler/pytbegin", "kernel_id": "3704807"}, {"ref": "iremferliler/medium", "kernel_id": "3761194"}, {"ref": "iamkaikai/my-tainatic", "kernel_id": "3622695"}, {"ref": "datajang/titanic-analysis-test", "kernel_id": "3700787"}, {"ref": "hyejoojjang/my-titanic-tutorial-882d5b", "kernel_id": "3766703"}, {"ref": "gzabrodskiy/greg-z-s-project", "kernel_id": "3646855"}, {"ref": "manjureddygl/titanic-prediction", "kernel_id": "3658033"}, {"ref": "vladasoln21/titanic-eda-rf-lgbmclf-baggingclf-votingclf-xgb", "kernel_id": "3834196"}, {"ref": "locogris/titanic-101-basic-logistic-regression", "kernel_id": "3777742"}, {"ref": "pagescoffy/kernelcfcbea0455", "kernel_id": "3935511"}, {"ref": "leeyuri/subinium-tutorial-titanic-beginner", "kernel_id": "3666179"}, {"ref": "pankeshpatel/titanic-survival-prediction", "kernel_id": "3999796"}, {"ref": "xiangyuchu/titanic", "kernel_id": "3930075"}, {"ref": "hanmingliu/walk-through-on-a-simple-rf-solution", "kernel_id": "3696265"}, {"ref": "shashank411/titanic-survival-prediction", "kernel_id": "3777216"}, {"ref": "confusedpandas/titanic-survivors-analysis", "kernel_id": "3712801"}, {"ref": "yzs7027/a-simple-titanic-code", "kernel_id": "3820890"}, {"ref": "akshatjaipuria/titanic-dataset", "kernel_id": "3775666"}, {"ref": "hsd3030/kernel04d81affe2", "kernel_id": "3871068"}, {"ref": "springkitty/tj-data", "kernel_id": "3872252"}, {"ref": "springkitty/kjh-data", "kernel_id": "3872384"}, {"ref": "springkitty/ldh-data", "kernel_id": "3856862"}, {"ref": "emanuelssj/titanic-first-kernel-to-be-continued", "kernel_id": "3731829"}, {"ref": "rhamnett/titanic-keras-category-embedding-numerics-80", "kernel_id": "3815219"}, {"ref": "ad3464/info-212-ad3463", "kernel_id": "3780993"}, {"ref": "chaojiewang/titanic", "kernel_id": "3817233"}, {"ref": "patilneha09/pneha-titanic-dataset-solution", "kernel_id": "3779168"}, {"ref": "ddonggu/team5-submit", "kernel_id": "3862257"}, {"ref": "willardwillson/titanic-draft", "kernel_id": "3881275"}, {"ref": "willrussell90/titanic-notebook", "kernel_id": "3921809"}, {"ref": "willrussell90/titanic-simple-rfc-model-with-3-features", "kernel_id": "3930928"}, {"ref": "faroukalim/kernel71419d591f", "kernel_id": "3850461"}, {"ref": "cro4737/warming-up-what-do-you-think", "kernel_id": "3880014"}, {"ref": "ljzsky/titanic-best-working-classifier-8c31e7", "kernel_id": "3919339"}, {"ref": "bhavikbb/titanic-dataset-problem", "kernel_id": "3889255"}, {"ref": "rs2419/kernel0336803e9b", "kernel_id": "3916879"}, {"ref": "thelazydatascientist/titanic", "kernel_id": "3871351"}, {"ref": "unrealarun/titanic-problem-a-simple-approach", "kernel_id": "3878702"}, {"ref": "osssyman/kernelc197b37bdc", "kernel_id": "3899246"}, {"ref": "bhaveshsk/getting-started-with-titanic-dataset", "kernel_id": "3974929"}, {"ref": "julianodcgarcia/kernel1-titanic-juliano", "kernel_id": "3935624"}, {"ref": "julianodcgarcia/titanic-by-juliano", "kernel_id": "3946427"}, {"ref": "mlhashimoto/kernel89324ea78c", "kernel_id": "3927993"}, {"ref": "rikudo321/titanik", "kernel_id": "3942581"}, {"ref": "asdewqasd/kernel717cc4d7f3", "kernel_id": "3950426"}, {"ref": "runzedong/titanic-1st-version", "kernel_id": "3977331"}, {"ref": "monkeyorman/linear-regression-2-vars-v1", "kernel_id": "4013746"}, {"ref": "lucasbruscato/exercise-final-project", "kernel_id": "4184613"}, {"ref": "sachins0/ada-boost-classifier-for-titanic-dataset", "kernel_id": "4838508"}, {"ref": "madfrog4227/titanic-prediction", "kernel_id": "4818542"}, {"ref": "pablosuau/simple-k-nearest-neighbours-with-forward-selection", "kernel_id": "4964089"}, {"ref": "pablosuau/nearest-centroid-based-on-mahalanobis-distance", "kernel_id": "4525579"}, {"ref": "lasseregin/ensemble-classifier", "kernel_id": "4034932"}, {"ref": "ankush87/simple-titanic-model", "kernel_id": "4118548"}, {"ref": "ankush87/titanic-top-8-with-xgboost", "kernel_id": "4510579"}, {"ref": "plusjune/kaggle-titanic-example-01", "kernel_id": "4978197"}, {"ref": "ikertxo1986/top-4-factor-analysis-ensemble", "kernel_id": "4063139"}, {"ref": "tamreff3290/introduction-to-bigqueryml-using-titanic", "kernel_id": "4783807"}, {"ref": "cleberos/titanic-automating-model-selection-using-caret", "kernel_id": "4446740"}, {"ref": "sandhyagopchandani/titanic-survival-classification", "kernel_id": "4150496"}, {"ref": "lostrens/titanic-with-simple-scikit-learn-top-8", "kernel_id": "4037441"}, {"ref": "zzaibis/titanic-kernel-that-damn-iceberg", "kernel_id": "4025645"}, {"ref": "mil00se/upura-kaggle-tutorial-01-first-submission", "kernel_id": "4007648"}, {"ref": "mil00se/kerneld58dd5ec4c", "kernel_id": "4008872"}, {"ref": "nyxcat61/titanic-framework", "kernel_id": "4721502"}, {"ref": "nyxcat61/ai-camp-logistic-regression-titanic-homework", "kernel_id": "4973895"}, {"ref": "satishdwivedi3/titanic-data-science-solutions-50b27d", "kernel_id": "4747906"}, {"ref": "prates/titanc-arvore-de-decisoes", "kernel_id": "4754960"}, {"ref": "nestormontano/keras-r-titanic", "kernel_id": "4797330"}, {"ref": "charlesgasper001/kernel6c7faf976b", "kernel_id": "4155346"}, {"ref": "masumrumi/logistic-regression-with-titanic-dataset", "kernel_id": "4414869"}, {"ref": "masumrumi/decision-tree-with-titanic-dataset", "kernel_id": "4279720"}, {"ref": "gopenshaw/titanic-machine-learning-from-disaster", "kernel_id": "4803353"}, {"ref": "prabanch/survival-prediction-using-titanic-dataset", "kernel_id": "4387640"}, {"ref": "nxqdkaggle/titanic-nordic-coder", "kernel_id": "4348789"}, {"ref": "nxqdkaggle/nordic-coder-analysis-1", "kernel_id": "4351714"}, {"ref": "steventesta/titanic-ensembling-techniques", "kernel_id": "4882707"}, {"ref": "sharonwaugh/predicting-survival-on-the-titanic", "kernel_id": "4753694"}, {"ref": "neonninja/gender-golf", "kernel_id": "4485311"}, {"ref": "neonninja/xgb-golf", "kernel_id": "4485516"}, {"ref": "noderaider/titanic-replica", "kernel_id": "4553893"}, {"ref": "ksuyash7/ttitanic", "kernel_id": "4932743"}, {"ref": "siriusmhlee/titanic-competition-sklearn-svc", "kernel_id": "4499368"}, {"ref": "mohira/as-01-decision-tree", "kernel_id": "4172245"}, {"ref": "mohira/cross-validation-strategies-with-sklearn", "kernel_id": "4292540"}, {"ref": "vamvas/predicting-survival-in-the-titanic", "kernel_id": "4620619"}, {"ref": "jianhong/titanic-data-science-solutions-392b66", "kernel_id": "4659374"}, {"ref": "khoinet/titanic-data-notebook", "kernel_id": "4826028"}, {"ref": "danielesteves/titanic-ml-from-disaster", "kernel_id": "4430437"}, {"ref": "currypurin/titanic-lightgbm-ex", "kernel_id": "4626562"}, {"ref": "currypurin/titanic-data-pandas-profiling", "kernel_id": "4625659"}, {"ref": "currypurin/titanic-lightgbm", "kernel_id": "4625741"}, {"ref": "shildube/kernel-titanic", "kernel_id": "4814785"}, {"ref": "jsvishnu/eda-data-visualization-and-submission", "kernel_id": "4440946"}, {"ref": "takazu0914/fork-of-kaggle-tutorial", "kernel_id": "4842538"}, {"ref": "celo40/titanicsurvival", "kernel_id": "4634586"}, {"ref": "aakashnand/jack-died-for-rose", "kernel_id": "4921762"}, {"ref": "piethon/ml-basics-w-titanic-xgboost-script", "kernel_id": "4924621"}, {"ref": "piethon/ml-basics-w-titanic-xgboost", "kernel_id": "4924860"}, {"ref": "grapestone5321/titanic-survival-exploration", "kernel_id": "4749191"}, {"ref": "grapestone5321/sklearn-logistic-regression", "kernel_id": "4641398"}, {"ref": "grapestone5321/build-xgboost", "kernel_id": "4858519"}, {"ref": "snayan28/titanic-da-prediction-0-82", "kernel_id": "4686642"}, {"ref": "rockbt1189/analysis-and-prediction", "kernel_id": "4557792"}, {"ref": "igor19/my-first-kaggle-does-age-really-count", "kernel_id": "4766071"}, {"ref": "jiaofenx/titanic-tutorial-summary-for-beginners", "kernel_id": "4557766"}, {"ref": "jyotsnaparyani/titanic-competition", "kernel_id": "4156346"}, {"ref": "viznrvn/very-simple-titanic-classifier", "kernel_id": "4160899"}, {"ref": "sagarnil1989/titanic-easiest-way-solution", "kernel_id": "4223525"}, {"ref": "chihacker/titanic-practice", "kernel_id": "4973889"}, {"ref": "vikumsw/basic-feature-visualizations", "kernel_id": "4648142"}, {"ref": "vikumsw/converting-categorical-features-is-easy", "kernel_id": "4858743"}, {"ref": "vikumsw/pandas-tips-tricks-and-more", "kernel_id": "4879064"}, {"ref": "vikumsw/explaining-random-forest-model-with-shapely-values", "kernel_id": "4825332"}, {"ref": "vikumsw/explaining-random-forest-model-with-lime", "kernel_id": "4896967"}, {"ref": "vikumsw/guide-for-comprehensive-data-exploration-in-python", "kernel_id": "4940728"}, {"ref": "donkeys/lgbm-with-hyperopt-tuning", "kernel_id": "4342686"}, {"ref": "donkeys/ensembles-of-trees-with-hyperopt-tuning", "kernel_id": "4525327"}, {"ref": "scatteredflo/kihome-lec2-2-classification-titanic", "kernel_id": "4797790"}, {"ref": "sunnynevarekar/titanic-survival-prediction", "kernel_id": "4080012"}, {"ref": "arnavvats/classification-techniques-titanic-challenge", "kernel_id": "4371884"}, {"ref": "fadhiluno2123/titanic-data-analysis", "kernel_id": "4154992"}, {"ref": "pdx250697/kaggletitanic-dataset", "kernel_id": "4195286"}, {"ref": "pdx250697/titanic-with-fastai-d8df90", "kernel_id": "4590838"}, {"ref": "srahuliitb/fork-of-rsk-titanic", "kernel_id": "4957625"}, {"ref": "devitdevil/titanic", "kernel_id": "4760065"}, {"ref": "sandeepdev/titanic-survival-prediction", "kernel_id": "4216012"}, {"ref": "wakamezake/tensorflow-data-validation-for-titanic", "kernel_id": "4286769"}, {"ref": "alexahdp/logistic-regression", "kernel_id": "4233149"}, {"ref": "nsojib/2nd-titanic", "kernel_id": "4647115"}, {"ref": "mohnishverma87/titanic-machine-learning-from-disaster", "kernel_id": "4364502"}, {"ref": "weiwei142/titanic-cnn-failedmodel", "kernel_id": "4114562"}, {"ref": "weiwei142/titanic-simplemlp", "kernel_id": "4105123"}, {"ref": "matheustramontini/basic-eda-and-modeling", "kernel_id": "4959258"}, {"ref": "ihelon/titanic-hyperparameter-tuning-with-gridsearchcv", "kernel_id": "4895986"}, {"ref": "builderdavid/titanic-model-baseline2", "kernel_id": "4242326"}, {"ref": "geodma/ensemble-modelling-with-caret", "kernel_id": "4203658"}, {"ref": "zhengtzer/titanic-14072019", "kernel_id": "4801892"}, {"ref": "tauseef6462/simple-feedforward-neural-network-using-pytorch", "kernel_id": "4456419"}, {"ref": "yuyingg0921/dt-rf", "kernel_id": "4646424"}, {"ref": "sqwqzz/titanic", "kernel_id": "4113986"}, {"ref": "jolyannebn/titanic-premier-kernel", "kernel_id": "4475106"}, {"ref": "retoled/logistic-regression-with-bic-optimisation", "kernel_id": "4861710"}, {"ref": "burakcank/titanic-decease-prediction", "kernel_id": "4069981"}, {"ref": "vashdevheerani/kernel3553f0f0fb", "kernel_id": "4464099"}, {"ref": "ashish1500616/titanic-survival-prediction-xgboost-0-80", "kernel_id": "4154406"}, {"ref": "shivamanhar/titanic-data-with-python", "kernel_id": "4440857"}, {"ref": "funxexcel/titanic-basic-solution-using-adaboost", "kernel_id": "4629404"}, {"ref": "akash2907/titanic-eda-ml", "kernel_id": "4767305"}, {"ref": "yuryueng/kernelcf4369e8b5", "kernel_id": "4460854"}, {"ref": "irfanchahyadi/titanic-simple-ml", "kernel_id": "4455690"}, {"ref": "gky360/upura-kaggle-tutorial-07", "kernel_id": "4006278"}, {"ref": "gky360/upura-kaggle-tutorial-05-06", "kernel_id": "4006006"}, {"ref": "gky360/upura-kaggle-tutorial-04", "kernel_id": "4005723"}, {"ref": "gky360/upura-kaggle-tutorial-03", "kernel_id": "4005282"}, {"ref": "gunishj/titanic-challenge-ml-model", "kernel_id": "4990057"}, {"ref": "kkjishnu/titanic-trials", "kernel_id": "4190490"}, {"ref": "milanvarghese/titanic-solution-with-multiple-ml-models", "kernel_id": "4440940"}, {"ref": "biswajitbanerjee/titanic-with-pytorch", "kernel_id": "4769556"}, {"ref": "daviherc/my-first-kernel", "kernel_id": "4902659"}, {"ref": "sabbiu/exploratory-data-analysis", "kernel_id": "4861018"}, {"ref": "sabbiu/logistic-regression", "kernel_id": "4866865"}, {"ref": "sabbiu/playing-with-sklearn-pipeline", "kernel_id": "4930368"}, {"ref": "sabbiu/xgboost", "kernel_id": "4936675"}, {"ref": "neos960518/titanic-prediction", "kernel_id": "4749913"}, {"ref": "jijoth/titanic", "kernel_id": "4473182"}, {"ref": "madhur321/kernel6163e4b380", "kernel_id": "4658923"}, {"ref": "shubhendumishra/titanic-mlp-model-using-pytorch", "kernel_id": "4821203"}, {"ref": "hansatyam/kernel93a132316e", "kernel_id": "4015450"}, {"ref": "sishihara/microsoft-interpret-for-kaggle-titanic", "kernel_id": "4556942"}, {"ref": "ftnext/advanced-titanic-kernel-shakyo-example", "kernel_id": "4141801"}, {"ref": "ftnext/kaggle-spzcolab-201906", "kernel_id": "4114575"}, {"ref": "jrchun1/titanic-tutarial-with-r-basic", "kernel_id": "4760877"}, {"ref": "piyushmishra1999/titanic-detecting-patterns-for-survival", "kernel_id": "4828725"}, {"ref": "vladlee/titanic-survival-predictions-lgbm-gridsearchcv", "kernel_id": "4361324"}, {"ref": "dbhagesh/kernel99fc695b73", "kernel_id": "4865104"}, {"ref": "manushettyai/randomforest-99-accuracy-logisticregression-80", "kernel_id": "4280949"}, {"ref": "sanikabhagat/titanic-survival-prediction-using-lr-rndm-forest", "kernel_id": "4481056"}, {"ref": "barbetpsg/stacked-into-neural-net", "kernel_id": "4534470"}, {"ref": "moazmagdy/titanic-survival-prediction", "kernel_id": "4851629"}, {"ref": "shailendrayadav/logistic-regression-titanic-dataset", "kernel_id": "4274507"}, {"ref": "benbeckmann/titanic-dataset-stacking", "kernel_id": "4659659"}, {"ref": "n3k0t1k/kernelc3a2f69f6b", "kernel_id": "4679727"}, {"ref": "zchowdhury/titanic-randomforestclassifier", "kernel_id": "4925402"}, {"ref": "lyhue1991/titanic-dnn", "kernel_id": "4027036"}, {"ref": "adamow/titanic-sample", "kernel_id": "4679835"}, {"ref": "stevenvoo/titanic-disaster-and-insights", "kernel_id": "4478245"}, {"ref": "rjtrev/first-kernel-ever-78-accuracy", "kernel_id": "4304479"}, {"ref": "alvinctk/titanic", "kernel_id": "4038759"}, {"ref": "alvinctk/titanic2", "kernel_id": "4049453"}, {"ref": "ridhimashinde23/kagglecon-submit-your-first-model-to-the-lb", "kernel_id": "4146687"}, {"ref": "siddharthkumar25/ml-for-titanic", "kernel_id": "4039038"}, {"ref": "ankitsharmas/r-titanic-survival-prediction-first-step", "kernel_id": "4988933"}, {"ref": "marami21/a-complete-begginer-guide-to-titanic", "kernel_id": "4382969"}, {"ref": "joaoant/titanic-by-joaoant", "kernel_id": "4862920"}, {"ref": "vinaydgupta/titanic-ml-kernel", "kernel_id": "4170199"}, {"ref": "kpacocha/top-5-titanic-machine-learning-from-disaster", "kernel_id": "4211690"}, {"ref": "senasista/titanic-catboost", "kernel_id": "4618556"}, {"ref": "senasista/titanic-top-3-full-eda-model", "kernel_id": "4957882"}, {"ref": "rmoralesballesteros/titanic-analysis", "kernel_id": "4355800"}, {"ref": "shotaku/titanic-prediction-using-neural-nework", "kernel_id": "4053330"}, {"ref": "williamseck/titanic", "kernel_id": "4177752"}, {"ref": "modojj/eda-handling-missing-values-using-regression", "kernel_id": "4252362"}, {"ref": "udisinghania98/kernela44cbf1cea", "kernel_id": "4715151"}, {"ref": "udisinghania98/titanic-dataset", "kernel_id": "4191249"}, {"ref": "ansonavaran/kernel0364363f26", "kernel_id": "4456177"}, {"ref": "thiruvengadam42/titanic-data-classifier-comparison-beginner", "kernel_id": "4939147"}, {"ref": "arpitashenoy/ml-titanic", "kernel_id": "4846190"}, {"ref": "erinsweet/xgboosttest", "kernel_id": "4273036"}, {"ref": "erinsweet/tianictest", "kernel_id": "4270318"}, {"ref": "erinsweet/simpledetect", "kernel_id": "4346922"}, {"ref": "anirudhchak/titanic-dataset-neural-network-in-keras", "kernel_id": "4044753"}, {"ref": "nitrograph/titanic-submission-1", "kernel_id": "4882167"}, {"ref": "samch08/kernel-titanic", "kernel_id": "4098173"}, {"ref": "nevinbaiju/eda-of-titanic-dataset", "kernel_id": "4433766"}, {"ref": "nevinbaiju/eda-data-visualization-on-titanic-dataset", "kernel_id": "4422416"}, {"ref": "nevinbaiju/eda-data-visualization-and-submission", "kernel_id": "4439667"}, {"ref": "djousto/titanic-2nd-and-last-part", "kernel_id": "4219539"}, {"ref": "saurabhghosh/titanic-with-nn-v1", "kernel_id": "4981951"}, {"ref": "lviola/begginer-s-lean-script-using-xgboost", "kernel_id": "4371233"}, {"ref": "anirban7/data-preprocessing-for-beginners", "kernel_id": "4126526"}, {"ref": "sachinds/learning-guide-of-titanic-analytics", "kernel_id": "4133731"}, {"ref": "robinteuwens/titanic-combining-models-into-voting-classifiers", "kernel_id": "4613879"}, {"ref": "pavanchalla/fork-of-titanic", "kernel_id": "4815873"}, {"ref": "shisigang/network-in-network-with-tensorflow2-0", "kernel_id": "4862525"}, {"ref": "parakhsrivastava/simple-eda-prediction", "kernel_id": "4584419"}, {"ref": "izardy/titanic-survivor-prediction-via-random-forest", "kernel_id": "4667493"}, {"ref": "ukveteran/starter-jma-titanic", "kernel_id": "4921317"}, {"ref": "googlemkunthe/plain-approach", "kernel_id": "4821577"}, {"ref": "jameshuang890902/titanic-data-final", "kernel_id": "4338842"}, {"ref": "jameshuang890902/titanic", "kernel_id": "4296095"}, {"ref": "yunjaegong/titanic-eda-commit", "kernel_id": "4956335"}, {"ref": "sivaleonardo/log-reg-for-titanic-siva", "kernel_id": "4043163"}, {"ref": "apresswala52/titanic-predict-outcomes-for-beginners-0-7942", "kernel_id": "4607785"}, {"ref": "meerakatekar/kernel67793d7e85", "kernel_id": "4829788"}, {"ref": "sangameshmadagiri/kfold-cv-and-grid-search-hyperparameters-tuning", "kernel_id": "4970470"}, {"ref": "hedibendaoud/titanic-dataset", "kernel_id": "4132966"}, {"ref": "starkark31/iceberg-svm-eda", "kernel_id": "4072346"}, {"ref": "thrillanalysis/titanic-different-working-classifier", "kernel_id": "4929498"}, {"ref": "amanrocks7795/kernela1a10e8695", "kernel_id": "4489478"}, {"ref": "ichizo/fork-of-titanic-data-science-solutions-25b21e", "kernel_id": "4743664"}, {"ref": "shwethavasudevan/titanic-predictions", "kernel_id": "4918500"}, {"ref": "lampier/kernelbfc75fae7b", "kernel_id": "4467583"}, {"ref": "wikifed/first-kaggle-model-titanic-data", "kernel_id": "4735798"}, {"ref": "adisurana1/titanic", "kernel_id": "4924625"}, {"ref": "stanliux/titanic", "kernel_id": "4145005"}, {"ref": "cher1998/titanic-predict", "kernel_id": "4079040"}, {"ref": "hvardhandixit/titanic-ml-take-1", "kernel_id": "4557083"}, {"ref": "rockey2018/kernel1a07af9c27", "kernel_id": "4611245"}, {"ref": "nabhanpv/a-structured-approach-to-solving-the-unsinkable", "kernel_id": "4810464"}, {"ref": "irfanarif39/titanic-tensorflow-forward-nn", "kernel_id": "4661309"}, {"ref": "venkatchintu/data-visualization-using-seaborn-nd-matplotlib", "kernel_id": "4127547"}, {"ref": "iamsiddhant/titanic-analysis", "kernel_id": "4872084"}, {"ref": "mkonstantoulakis/project-future-titanic-example", "kernel_id": "4022256"}, {"ref": "agrover112/plzhelptitanic", "kernel_id": "4810695"}, {"ref": "gauravrai711/titanic-take4", "kernel_id": "4565678"}, {"ref": "gauravrai711/titanic-data-nn", "kernel_id": "4560478"}, {"ref": "malaphor/kernelba200d43c5", "kernel_id": "4440569"}, {"ref": "york33/introduction-to-ensembling-stacking-in-python3-6-6", "kernel_id": "4718074"}, {"ref": "york33/titanic-ensembling-syakyo", "kernel_id": "4687106"}, {"ref": "mgmgmgmi/supporterz-kaggle-20190604", "kernel_id": "4206623"}, {"ref": "rathiankit/how-to-handle-missing-value", "kernel_id": "4011155"}, {"ref": "hosokawa1309/0529-hoshikawa-special", "kernel_id": "4066026"}, {"ref": "nikkisharma536/fastai-titanic", "kernel_id": "4384418"}, {"ref": "anu3133/titanic-survival-kernela76a43ad47", "kernel_id": "4797746"}, {"ref": "gauransh/titanic-challange-kernal", "kernel_id": "4020214"}, {"ref": "daniloedu/a-comprehensive-ml-workflow-with-python", "kernel_id": "4889641"}, {"ref": "astralmed/simple-example-using-lime", "kernel_id": "4018027"}, {"ref": "pierpaolo28/titanic", "kernel_id": "4146572"}, {"ref": "extraordinarymind/dataframe-basics", "kernel_id": "4124306"}, {"ref": "monaim/kernelc317f1dcf3", "kernel_id": "4983849"}, {"ref": "yw6916/titanic-if-you-are-as-new-as-me-1", "kernel_id": "4272711"}, {"ref": "sjain1212/titanicreal", "kernel_id": "4915229"}, {"ref": "sigmafactor/titanic-using-xgbclassifier", "kernel_id": "4028905"}, {"ref": "suyashchitnis/titanicnb", "kernel_id": "4922364"}, {"ref": "shamsuzzamanmd/titanic-machine-learning-from-disaster", "kernel_id": "4820492"}, {"ref": "fredyen324/data-visualization-ml-predictions", "kernel_id": "4489436"}, {"ref": "yashwanthg/titanic-survival", "kernel_id": "4056078"}, {"ref": "dariagol18/comparing-models-assessment-gridsearch-ensemble", "kernel_id": "4057563"}, {"ref": "kevald47/titanic-logistic-regression-with-python", "kernel_id": "4591349"}, {"ref": "gebera2011/overfit-is-a-nightmare", "kernel_id": "4289928"}, {"ref": "spidy20/top-5-on-titanic-competition-for-beginner", "kernel_id": "4323076"}, {"ref": "spidy20/titanic-eda-with-80-prediction-on-sb", "kernel_id": "4042776"}, {"ref": "bvarkoly/titanic-logistic-regression", "kernel_id": "4579862"}, {"ref": "anilkay/edaandclassification", "kernel_id": "4843037"}, {"ref": "saadzarook/data-visualization-techniques-using-seaborn", "kernel_id": "4570583"}, {"ref": "thisisjisu/introduction-to-decision-trees-korean-ver", "kernel_id": "4456876"}, {"ref": "gipark2001/titanic-data-science-solutions-7eaa9c", "kernel_id": "4794638"}, {"ref": "gipark2001/a-journey-through-titanic-722ce8", "kernel_id": "4711620"}, {"ref": "gipark2001/kernelbb65328050", "kernel_id": "4962947"}, {"ref": "suryotriatmojo/titanic-survive-prediction", "kernel_id": "4622002"}, {"ref": "aman31saxena/titanic-kernel", "kernel_id": "4052829"}, {"ref": "yuki19940627/titanic-decision-tree", "kernel_id": "4837592"}, {"ref": "luifer1990/kernela489138680", "kernel_id": "4367359"}, {"ref": "jellisholdings/my-grandmother-was-2-hours-late", "kernel_id": "4853618"}, {"ref": "jackbyte/titanic-predict-survivors", "kernel_id": "4210771"}, {"ref": "chandranshujain/building-a-logistic-model-with-86-accuracy", "kernel_id": "4565513"}, {"ref": "chandranshujain/kernel55841aece0", "kernel_id": "4551012"}, {"ref": "caprabianca/titanic-predictions", "kernel_id": "4372300"}, {"ref": "abhi116/titanic", "kernel_id": "4719398"}, {"ref": "pratimah/kernel713beac15b", "kernel_id": "4939911"}, {"ref": "rajwardhanshinde/titanic-eda-models", "kernel_id": "4955639"}, {"ref": "chandu0012/kerneld6e1b1b6cc", "kernel_id": "4003350"}, {"ref": "fbt97119/pubg-analysis", "kernel_id": "4012332"}, {"ref": "landonwall/titanic-random-forest-top-6", "kernel_id": "4381059"}, {"ref": "ashtrixx/titanic-survival-prediction", "kernel_id": "4929651"}, {"ref": "notrealaditya1/kaggle-titanic", "kernel_id": "4596537"}, {"ref": "leandrogarcialopes/lgl-exercicio-nb-01-titanic", "kernel_id": "4351229"}, {"ref": "tavoosi/predicting-survival-on-the-titanic-with-rf-lr-nb", "kernel_id": "4048362"}, {"ref": "abhinand05/machine-learning-for-everyone-lb-top-5", "kernel_id": "4368341"}, {"ref": "nikhiltheallknowing/titanic-survivor", "kernel_id": "4107543"}, {"ref": "kenkenf/titanic-tutorial-solution1-rf-pred", "kernel_id": "4795063"}, {"ref": "kenkenf/solution3", "kernel_id": "4864195"}, {"ref": "kenkenf/titanic-solution3", "kernel_id": "4874481"}, {"ref": "readeryu/usingxgboost", "kernel_id": "4079843"}, {"ref": "jaymeanchante/titanic-0-62-using-fastai", "kernel_id": "4725462"}, {"ref": "dbzyuzin/titanic", "kernel_id": "4442399"}, {"ref": "garg4ag/titanic", "kernel_id": "4686771"}, {"ref": "benmatthews/titanic-simple", "kernel_id": "4010637"}, {"ref": "ashukaraiya/titanic-first-kaggle-competition", "kernel_id": "4324206"}, {"ref": "alokshankar123/alok-kernel", "kernel_id": "4860704"}, {"ref": "zithiat/exploring-titanic-data", "kernel_id": "4074621"}, {"ref": "chatunga/titanic", "kernel_id": "4865007"}, {"ref": "ziyaad/k-means-clustering", "kernel_id": "4172581"}, {"ref": "datauma/titanic-analysis-first-ml-project", "kernel_id": "4393200"}, {"ref": "penguinwang96825/xgboost-newbie-for-titanic-dataset", "kernel_id": "4948527"}, {"ref": "nanusai/a-statistical-analysis-ml-workflow-of-tit-8007f2", "kernel_id": "4443588"}, {"ref": "nanusai/titanic", "kernel_id": "4388205"}, {"ref": "nanusai/titanicv2", "kernel_id": "4420946"}, {"ref": "smiraldr/titanic-eda-and-predictions-using-various-models", "kernel_id": "4410587"}, {"ref": "mdkhan001/titanic", "kernel_id": "4469582"}, {"ref": "akashs2021/data-visualization-and-logistic-regression", "kernel_id": "4810829"}, {"ref": "karinne/kernelc28ec80bcb", "kernel_id": "4135818"}, {"ref": "ak124210/titanic-survival", "kernel_id": "4170354"}, {"ref": "adelardcollins/predict-survival-chances-in-titanic", "kernel_id": "4293763"}, {"ref": "anjaeju/praticing-titanic", "kernel_id": "4835632"}, {"ref": "raushanraja/titanic-beginner-machine-learning", "kernel_id": "4697082"}, {"ref": "zhou77711/titanic-machine-learning", "kernel_id": "4412941"}, {"ref": "zhou77711/titanic-keras", "kernel_id": "4465251"}, {"ref": "kartikeyachau/titanic-ab", "kernel_id": "4595552"}, {"ref": "dashmeetkaur/titanic-dk", "kernel_id": "4555955"}, {"ref": "rpi304/titanic-dataset-analysis", "kernel_id": "4555804"}, {"ref": "nlpgod/titanic-classifier", "kernel_id": "4861300"}, {"ref": "jaylaksh94/titanic-survivals-using-log-knn-grid-search", "kernel_id": "4975355"}, {"ref": "shari1/titanic", "kernel_id": "4031699"}, {"ref": "sohailziahh/kernel-titanic", "kernel_id": "4881711"}, {"ref": "munniomer/sg-spaic-kagglers-titanic", "kernel_id": "4721027"}, {"ref": "ravendark/competition-data", "kernel_id": "4833299"}, {"ref": "rahu7292/ann-from-scratch-with-85-accuracy", "kernel_id": "4185244"}, {"ref": "okeaditya/titanic-ml-analysis", "kernel_id": "4337324"}, {"ref": "mrinath/kernel15a85ee48e", "kernel_id": "4983006"}, {"ref": "myoung859/a-truly-epic-experiment", "kernel_id": "4036964"}, {"ref": "wafadje/who-survived-the-titanic", "kernel_id": "4647749"}, {"ref": "narayanpai/kernel4244b4c219", "kernel_id": "4250783"}, {"ref": "archaizzard/titanic", "kernel_id": "4316197"}, {"ref": "shahkan/sinking-of-titanic", "kernel_id": "4110081"}, {"ref": "sumukhija/tip-of-the-iceberg-eda-prediction-0-80861", "kernel_id": "4364107"}, {"ref": "morinja/titanic-competition-with-xgboost-feature-imp", "kernel_id": "4125108"}, {"ref": "edynsoncoronado/titanic-kernel", "kernel_id": "4240300"}, {"ref": "thecobbler/titanic-data-set-submission", "kernel_id": "4815824"}, {"ref": "chinmaybhardwaj/titanic-first-kernel", "kernel_id": "4347289"}, {"ref": "alexzhou007/titanic-knn-v1", "kernel_id": "4693825"}, {"ref": "werty12121/titanic-eda-basic-stacknet", "kernel_id": "4063566"}, {"ref": "kssmegha/data-viz-and-prediction-using-logistic-regression", "kernel_id": "4557524"}, {"ref": "bayuaji1997/titanic-death-prediction-by-bayu-aji", "kernel_id": "4527080"}, {"ref": "bayuaji1997/titanic-death-prediction-using-gradient-boosting", "kernel_id": "4538514"}, {"ref": "wesleywatanabe/titanic-challenge-1th-kernel", "kernel_id": "4089372"}, {"ref": "iluvmahheart/simple-titanic-using-nn", "kernel_id": "4754840"}, {"ref": "iluvmahheart/simple-beginner-titanic-survival-prediction", "kernel_id": "4215533"}, {"ref": "billumillu/titanic", "kernel_id": "4657296"}, {"ref": "gabrielsze/titanic-kernel", "kernel_id": "4423675"}, {"ref": "jovicuz/complete-pipeline-for-titanic-data-beginners", "kernel_id": "4048785"}, {"ref": "wilcoln/titanic", "kernel_id": "4107522"}, {"ref": "dylanmendonca/predicting-survival-on-titanic-plotly", "kernel_id": "4322614"}, {"ref": "dsousa/a-newbie-approach-to-titanic", "kernel_id": "4857388"}, {"ref": "hoodini/titanic-predict-survival", "kernel_id": "4355739"}, {"ref": "joshi98kishan/titanic-randomforestclassifier", "kernel_id": "4783418"}, {"ref": "joshi98kishan/titanic-logisticregression", "kernel_id": "4767345"}, {"ref": "joshi98kishan/titanic-perfectpredictions", "kernel_id": "4808410"}, {"ref": "adikeshri/simple-solution-titanic-problem-easiest-top-15", "kernel_id": "4043838"}, {"ref": "zhang0928/titantic", "kernel_id": "4347713"}, {"ref": "rolfrokseth/titanic-ml-comp", "kernel_id": "4810437"}, {"ref": "jmarfati/titanic-keras-nn", "kernel_id": "4852714"}, {"ref": "elisius/titanic-eda-wrangling-imputation", "kernel_id": "4523993"}, {"ref": "elisius/titanic-random-forest-grid-search", "kernel_id": "4523846"}, {"ref": "hbquoc29/first-competition", "kernel_id": "4152981"}, {"ref": "poojanagure/biginer-titanic-pridiction-by-regression", "kernel_id": "4524774"}, {"ref": "abhishekkohli27/binary-classification-ml-competition", "kernel_id": "4106063"}, {"ref": "blacknumber/titanic-keras-nn", "kernel_id": "4096042"}, {"ref": "sergejsn/titanic-competition-score-0-7799", "kernel_id": "4060422"}, {"ref": "kingofmidas/kernel5cc849c176", "kernel_id": "4011198"}, {"ref": "asokraju/titanic-dataset-preprocessing", "kernel_id": "4340346"}, {"ref": "lsiepman/titanic-survival-prediction", "kernel_id": "4068626"}, {"ref": "deepak7946/random-forest-and-logistic-regression-on-titanic", "kernel_id": "4950677"}, {"ref": "jaykarma/titanic-eda-logistic-reg-and-decision-tree", "kernel_id": "4841852"}, {"ref": "galvaowesley/survivors-classification-on-titanic-using-r", "kernel_id": "4912131"}, {"ref": "madhuripatil15/titanic-competition", "kernel_id": "4008736"}, {"ref": "abhishek24021996/titaninc-ml", "kernel_id": "4964904"}, {"ref": "anujmishra/kernel54ae8c7d69", "kernel_id": "4721922"}, {"ref": "littlefairy/titanic-survial-prediction-gradientboosting", "kernel_id": "4835495"}, {"ref": "littlefairy/titanic-survial-prediction-logisticregression", "kernel_id": "4571105"}, {"ref": "rabia94/kernel-bcs163093", "kernel_id": "4267594"}, {"ref": "xusiyang/titanic", "kernel_id": "4195613"}, {"ref": "diogomarinho/sobreviventes-titanic", "kernel_id": "4443676"}, {"ref": "ke1604pvs39/laba3", "kernel_id": "4016369"}, {"ref": "blackdar/kostin-soloveva-davletshina-3", "kernel_id": "4019959"}, {"ref": "utsavpatel51/titanic-machine-learning-from-disaster", "kernel_id": "4085421"}, {"ref": "abhilashreddys/titanic-solution", "kernel_id": "4334495"}, {"ref": "youssephahmed/titanic", "kernel_id": "4377653"}, {"ref": "rakeshvd/titanic-data-ml-fast-ai", "kernel_id": "4052608"}, {"ref": "liuqiantx1221/titanic-only-use-two-features-to-reach-top-5", "kernel_id": "4881309"}, {"ref": "utkarshtiwari/titanic-pandas", "kernel_id": "4066562"}, {"ref": "varunmiranda/titanic-survival-predictions", "kernel_id": "4395363"}, {"ref": "mstftokat/titanic-machine-learning-from-diaster", "kernel_id": "4801538"}, {"ref": "harithapliyal/titanic-data-science-solutions", "kernel_id": "4933063"}, {"ref": "prtkmeh/titanic-ann-using-keras", "kernel_id": "4549939"}, {"ref": "maggiecao/titanic-framework-ef3161", "kernel_id": "4696590"}, {"ref": "imranmik/titanic-survival-rate", "kernel_id": "4264083"}, {"ref": "prakash0623/kernela8ab99411e", "kernel_id": "4026071"}, {"ref": "akshaysunku/kernelc45d98a42c", "kernel_id": "4190854"}, {"ref": "ma7555/titanic-by-logistic-regression", "kernel_id": "4108903"}, {"ref": "kruttika17/titanic-79-43-test-accuracy-with-complete-steps", "kernel_id": "4211287"}, {"ref": "whchacon/titanic-intro-to-data-science-logistic-regression", "kernel_id": "4178887"}, {"ref": "ejtruscott/titanic", "kernel_id": "4358233"}, {"ref": "deekay13/titanic-disaster-prediction-linear-regression", "kernel_id": "4243884"}, {"ref": "yannberthelot/pystacknet-working-implementation", "kernel_id": "4826342"}, {"ref": "teyarobinson/titanic-competition", "kernel_id": "4360935"}, {"ref": "eduard94/titanic", "kernel_id": "4365525"}, {"ref": "zhangwx95/most-vote-study-use-rf", "kernel_id": "4425204"}, {"ref": "bodhisattvadash/titanic-survival-prediction-bodhisattva", "kernel_id": "4043498"}, {"ref": "kazunoko/titanic-kazunoko", "kernel_id": "4904809"}, {"ref": "sachinkunwar/neural-network-titanic-problem-with-76-accuracy", "kernel_id": "4073862"}, {"ref": "kunakash/first-commit-for-titanic-competition", "kernel_id": "4969946"}, {"ref": "vikrantdh/titanic-predictions", "kernel_id": "4163260"}, {"ref": "jihyunjeong/titanic-tutorial", "kernel_id": "4963696"}, {"ref": "nipunbharti1/titanic-prediction", "kernel_id": "4925854"}, {"ref": "ayushagarwal800/kernel928225abda", "kernel_id": "4662754"}, {"ref": "priyalgarg21/titanic-machine-learning", "kernel_id": "4660699"}, {"ref": "yohey32/titanic-ubi20190530", "kernel_id": "4083886"}, {"ref": "suriender/kerneld594a4d39c", "kernel_id": "4000254"}, {"ref": "aeyjpn/titanic-it-s-been-84-years-84-prediction", "kernel_id": "4007603"}, {"ref": "pratickkejriwal/pratick-titanic", "kernel_id": "4019777"}, {"ref": "aradius22/titanic-onehotencoding-xgbregressor", "kernel_id": "4560692"}, {"ref": "handerblue/titanic-framework", "kernel_id": "4695891"}, {"ref": "handerblue/week5-session1-logisticregression-titanic-homework", "kernel_id": "4960573"}, {"ref": "ganeshnimmala/machine-learning-for-everyone", "kernel_id": "4488749"}, {"ref": "ganeshnimmala/titanic-survival-predictions", "kernel_id": "4980294"}, {"ref": "prasadpatil99/titanic-lgbm-top-8", "kernel_id": "4191551"}, {"ref": "ahmetturan/titanic-test-data", "kernel_id": "4601469"}, {"ref": "fujita6121/introduction-to-ensembling-stacking-in-pyth-1b4dfe", "kernel_id": "4450091"}, {"ref": "lasylasna/kernele7eae6d1bc", "kernel_id": "4043819"}, {"ref": "samlep/titanic-simple", "kernel_id": "4592900"}, {"ref": "senthamizhan/titanic-kaggle", "kernel_id": "4874525"}, {"ref": "napsack/kernel15a0f404de", "kernel_id": "4067429"}, {"ref": "stevensuca/titanic-learning-the-ml-process", "kernel_id": "4281310"}, {"ref": "alkesh199/kernel2ca24d89f8", "kernel_id": "4810240"}, {"ref": "yigitturk/titanic-who-will-survive", "kernel_id": "4643260"}, {"ref": "hongsukkim/titanic-keras-vs-lightgbm-vs-catboost-vs-xgboost", "kernel_id": "4029704"}, {"ref": "ayhanozturk/2-3-machine-learning-logistic-reg-odev", "kernel_id": "4207623"}, {"ref": "kamumosp/kernel9da9c37beb", "kernel_id": "4558157"}, {"ref": "ishmeet/elim5-randomforest-on-titanic-dataset", "kernel_id": "4211056"}, {"ref": "smilingchandra/titanic-contest-check", "kernel_id": "4052485"}, {"ref": "patilneha09/titanic-dataset-solution-using-random-forest", "kernel_id": "4042698"}, {"ref": "raghuvaranm/titanic-model-01", "kernel_id": "4945821"}, {"ref": "predictiverajib/titanic-survival-predictions", "kernel_id": "4574602"}, {"ref": "franjmartin21/titanic-pipelines-k-fold-validation-hp-tuning", "kernel_id": "4286398"}, {"ref": "b4xabhishek/a-journey-through-titanic", "kernel_id": "4193020"}, {"ref": "yuriao/titanic-dff", "kernel_id": "4693342"}, {"ref": "maheep27/randomforestclassifier", "kernel_id": "4035883"}, {"ref": "welzatm/1stpred-fot-titanic", "kernel_id": "4389332"}, {"ref": "valhalla44/first-attempt", "kernel_id": "4428551"}, {"ref": "abhisheksinghblr/titanic-solution-a-beginner-s-guide", "kernel_id": "4055881"}, {"ref": "ohsaeyoon/titanicmlfd-final-version-0-81339", "kernel_id": "4662376"}, {"ref": "harshsoni/supervised-ml-classification-using-titanic-dataset", "kernel_id": "4785356"}, {"ref": "prakharrathi25/titanic-survival-rate", "kernel_id": "4031022"}, {"ref": "mangethe/titanic-random-forest-grid-search", "kernel_id": "4569420"}, {"ref": "angstein/titanic-eda-wrangling-imputation", "kernel_id": "4553573"}, {"ref": "angstein/titanic-random-forest-grid-search", "kernel_id": "4553589"}, {"ref": "angstein/titanic-neural-network-for-beginners", "kernel_id": "4553599"}, {"ref": "arturojose19/proyecto-1-titanic", "kernel_id": "4036869"}, {"ref": "srksiva20/titanic-competetion", "kernel_id": "4652580"}, {"ref": "nickodemusrr/titanic-survival-prediction", "kernel_id": "4622011"}, {"ref": "jimsu2012/fast-ai-titanic", "kernel_id": "4114298"}, {"ref": "thexapholox/kernelf39dba8505", "kernel_id": "4047730"}, {"ref": "danielisanchez/kernel86e9732d60", "kernel_id": "4034470"}, {"ref": "carlosdl09/proyecto1-titanic-d-lacoste-decastro-arama", "kernel_id": "4005064"}, {"ref": "harshlaad/decisiontree-titanic", "kernel_id": "4614189"}, {"ref": "fgraft/titanic-in-python", "kernel_id": "4626648"}, {"ref": "nazeernazeer/learn-from-my-mistakes-doing-feature-engineering", "kernel_id": "4812206"}, {"ref": "tongxue35/surved", "kernel_id": "4271761"}, {"ref": "fernandoapires/beginner-competition-kernel", "kernel_id": "4026676"}, {"ref": "diabliyo12/proyecto-computaci-n-titanic", "kernel_id": "4017882"}, {"ref": "ruijialiandlvjiangyi/ensemble-titanic", "kernel_id": "4839952"}, {"ref": "julianodcgarcia/age-regression-defining-best-classifier", "kernel_id": "4050345"}, {"ref": "careforyourcandy/red-pinedo-chang-velasquez", "kernel_id": "4026243"}, {"ref": "geer1997/red-neural-titanic", "kernel_id": "4037134"}, {"ref": "deniskor/kernelfb1ba70a68", "kernel_id": "4057598"}, {"ref": "marcoasp/proyecto-1-ce-original", "kernel_id": "4026475"}, {"ref": "richardeascanio/titanic-ascanio-ojeda-zarur", "kernel_id": "4051083"}, {"ref": "irinas3745/kernele8456120b0", "kernel_id": "4045962"}, {"ref": "rajansharma780/titanic-prediction-of-survival", "kernel_id": "4956186"}, {"ref": "kimp1995/titanic-eda-wrangling-imputation", "kernel_id": "4615671"}, {"ref": "kimp1995/titanic-random-forest-grid-search", "kernel_id": "4615732"}, {"ref": "kimp1995/titanic-neural-network-for-beginners", "kernel_id": "4615851"}, {"ref": "astropiu/kernelccb476128e", "kernel_id": "4687939"}, {"ref": "stenivan/titanic-data-science-solutions", "kernel_id": "4822095"}, {"ref": "mpourreza/titanic-supervised-learning-using-random-forest", "kernel_id": "4213846"}, {"ref": "choudharyanmol/tittanic", "kernel_id": "4068954"}, {"ref": "ssomers/titanic-data-science-solutions", "kernel_id": "4443853"}, {"ref": "vmmq94/proyecto-emergente", "kernel_id": "4014679"}, {"ref": "vmmq94/proyecto-prueba", "kernel_id": "4006158"}, {"ref": "tingey21/kernel1395fd56ba", "kernel_id": "4149075"}, {"ref": "koreanstar/kernel34b27742cc", "kernel_id": "4159738"}, {"ref": "wizzywilson/titaniccwiz", "kernel_id": "4692611"}, {"ref": "regressionsquirrel/titanic", "kernel_id": "4208829"}, {"ref": "sueaty2/introduction-to-logistic-regression-in-python", "kernel_id": "4069886"}, {"ref": "emmayylu/accuracy-0-8552", "kernel_id": "4916150"}, {"ref": "minarabbit/min-titanic", "kernel_id": "4081675"}, {"ref": "minarabbit/min-dietanic3", "kernel_id": "4928095"}, {"ref": "minarabbit/min-dietanic2", "kernel_id": "4835268"}, {"ref": "christinali91/titanic-ninechapter", "kernel_id": "4719819"}, {"ref": "utkukubilay/titanic-eda-knn-model", "kernel_id": "4061511"}, {"ref": "gregorgubanow/titanic-perceptron-from-scratch", "kernel_id": "4478363"}, {"ref": "pochocosta/predicci-n-de-sobrevivientes-en-el-titanic", "kernel_id": "4036743"}, {"ref": "anaatef/my-first-kaggle-comp", "kernel_id": "4721029"}, {"ref": "bunnyyy/the-titanic", "kernel_id": "4039260"}, {"ref": "yashagrawal300/eda-of-titanic-dataset", "kernel_id": "4042593"}, {"ref": "younessennadj/titanic-eda", "kernel_id": "4059994"}, {"ref": "walidbenchikha/simple-titanic", "kernel_id": "4065353"}, {"ref": "danilopacker/titanic-supervised-survivor-prediction", "kernel_id": "4617787"}, {"ref": "mike201905/titanic-prediction", "kernel_id": "4160324"}, {"ref": "prashantgodhani7/titanic-1", "kernel_id": "4052880"}, {"ref": "ashish2002/first-practice-project", "kernel_id": "4367749"}, {"ref": "whitewalker11/beginner-level-titanic-data-set-solution", "kernel_id": "4769758"}, {"ref": "tomozoh/titanic-data-science-solutions", "kernel_id": "4058851"}, {"ref": "tomozoh/introduction-to-ensembling-stacking-in-python", "kernel_id": "4058867"}, {"ref": "rockian/kernel1f67537c41", "kernel_id": "4065078"}, {"ref": "kfurudate/firstnote-20190630", "kernel_id": "4595560"}, {"ref": "zethione/fork-of-accuracy-77-0-using-logistic-regression-an", "kernel_id": "4119146"}, {"ref": "zethione/accuracy-77-0-using-logistic-regression", "kernel_id": "4119061"}, {"ref": "altair73/titanic-dataset-for-beginners", "kernel_id": "4909972"}, {"ref": "ankita21prasad/prediction-of-survival-on-titanic-data", "kernel_id": "4521257"}, {"ref": "summerswu/titanic-practice", "kernel_id": "4126112"}, {"ref": "bchoiny/titanic-rf-model-with-basic-feature-engineering", "kernel_id": "4346555"}, {"ref": "gouravagg/logistic-regression", "kernel_id": "4686451"}, {"ref": "gnlenfn/kernelbef6933bbf", "kernel_id": "4126125"}, {"ref": "scottanna/kernel91f65b20e8", "kernel_id": "4693522"}, {"ref": "sagnik20/titanic-logistic-regression", "kernel_id": "4867698"}, {"ref": "seoseng/20190612-kisti-titanic-competiton", "kernel_id": "4266453"}, {"ref": "iamsdt/titanic-pytorch-iamsdt", "kernel_id": "4781241"}, {"ref": "leonardots/infering-missing-data-with-ensembles-rf-xgb", "kernel_id": "4261946"}, {"ref": "sidpanda99/titanic-machine-learning-from-disaster", "kernel_id": "4762603"}, {"ref": "anonymice/kernel8bae256f9e", "kernel_id": "4278073"}, {"ref": "asksascha/titanict-csv", "kernel_id": "4244401"}, {"ref": "thanos239/titanic-beginner", "kernel_id": "4588368"}, {"ref": "ajitabhanand/titanic-ml", "kernel_id": "4289749"}, {"ref": "aplayer98/jack-die-or-rose-die", "kernel_id": "4294096"}, {"ref": "fellipesilva/titanic-competition-full-analysis", "kernel_id": "4650494"}, {"ref": "i9suru/titanicml", "kernel_id": "4259818"}, {"ref": "halsmit/kaggletutorial-note", "kernel_id": "4290680"}, {"ref": "wemakeai/fastai-neuralnet", "kernel_id": "4729920"}, {"ref": "joeroe1/kernel50fc188590", "kernel_id": "4562391"}, {"ref": "elambrop/titanic-1st-attempt", "kernel_id": "4920617"}, {"ref": "priyankachand09/titanic-survival-dataset", "kernel_id": "4274305"}, {"ref": "gukang/titanic-using-lightgbm", "kernel_id": "4733743"}, {"ref": "annsue/titanic-baseline", "kernel_id": "4931754"}, {"ref": "annsue/titanic-logistic", "kernel_id": "4933413"}, {"ref": "annsue/titanic-randomforest-feature-selection", "kernel_id": "4933903"}, {"ref": "sanholee/titanic-training", "kernel_id": "4346618"}, {"ref": "hashinclude21/my-first-kaggle-nb-titanic-dataset", "kernel_id": "4610813"}, {"ref": "piedpie/kernel106d3e25e1", "kernel_id": "4911294"}, {"ref": "orion12345/kernela89525333a", "kernel_id": "4373862"}, {"ref": "parthshxh/machine-learning-with-sklearn-and-pytorch", "kernel_id": "4322953"}, {"ref": "franktj/titanic-20190708", "kernel_id": "4719290"}, {"ref": "anjian/kernel80ec794d1e", "kernel_id": "4497669"}, {"ref": "abhishekchandar/titanic", "kernel_id": "4314597"}, {"ref": "bvenkatreddy/titanic-ml", "kernel_id": "4458555"}, {"ref": "iliorz/kernel5a275bce5e", "kernel_id": "4427325"}, {"ref": "ahad18/kernel-ahad", "kernel_id": "4346504"}, {"ref": "shaokunan/titanic-practice", "kernel_id": "4351380"}, {"ref": "dky7376/titanic-survival", "kernel_id": "4838819"}, {"ref": "einozban/clear-titanic", "kernel_id": "4911114"}, {"ref": "ervikassingh/titanic-death-prediction", "kernel_id": "4525698"}, {"ref": "aliabbas110/survival-prediction-using-multiclass-classifiers", "kernel_id": "4389001"}, {"ref": "jinxingw/kernel2a1f82dd2b", "kernel_id": "4406497"}, {"ref": "gsingh17/titanic-kernel-beginner-exploration", "kernel_id": "4765830"}, {"ref": "jpwilson0/titanic-dataset-prediction-from-viz-to-submission", "kernel_id": "4520290"}, {"ref": "swami84/titanic-predictions-using-logistic-lda-and-rf", "kernel_id": "4467469"}, {"ref": "akaditya149/beginner-code-for-survival-analysis-titanic", "kernel_id": "4867792"}, {"ref": "zombie99/titanic-ml", "kernel_id": "4822674"}, {"ref": "vikassingh1996/titanic-exploratory-data-analysis-the-beginning", "kernel_id": "4998149"}, {"ref": "jaspreet2019/titanic-survival-classifier", "kernel_id": "4761409"}, {"ref": "madhu22297/fork-of-titanic-data-using-logistic-regression", "kernel_id": "4583917"}, {"ref": "madhu22297/titanic-data-using-logistic-regression", "kernel_id": "4583337"}, {"ref": "tkota0726/kernel7182bcdea8", "kernel_id": "4525217"}, {"ref": "mohitmaithani/titanic-survival-prediction", "kernel_id": "4724556"}, {"ref": "zolti42/exploratory-data-analysis-with-packt-tutiroal", "kernel_id": "4830592"}, {"ref": "taka0830/titanic", "kernel_id": "4575450"}, {"ref": "shubhangijena/tutorial-kaggle-titanic-dataset", "kernel_id": "4938345"}, {"ref": "josebrandao/accessing-dataset-for-the-first-time", "kernel_id": "4693052"}, {"ref": "aryandec25/titanic-survivor", "kernel_id": "4936483"}, {"ref": "milkitten/titanic-framework", "kernel_id": "4692536"}, {"ref": "milkitten/ai-camp-logistic-regression-titanic-homework", "kernel_id": "4956616"}, {"ref": "kongnyooong/first-analysis-for-titanic-practice-by-hong", "kernel_id": "4609578"}, {"ref": "lystahi/titanic-data-lightgbm", "kernel_id": "4636011"}, {"ref": "isaaclys/eda-to-prediction-dietanic-korean-translation", "kernel_id": "4701299"}, {"ref": "crbelhekar619/kaggle-titanic", "kernel_id": "4974776"}, {"ref": "mamtah/titanic-survival-prediction-69cd82", "kernel_id": "4728836"}, {"ref": "egreblova/titanic-getting-started", "kernel_id": "4633128"}, {"ref": "coledie/titanic-naive-bayes", "kernel_id": "4650660"}, {"ref": "sarina129/titanic-framework-0c093f", "kernel_id": "4701845"}, {"ref": "sarina129/ai-camp-logistic-regression-titanic-homework", "kernel_id": "4971862"}, {"ref": "fujiinot/first-book", "kernel_id": "4653035"}, {"ref": "lilih123/week4-session3-log-regtitanic-homework", "kernel_id": "4928809"}, {"ref": "lilih123/week2-session3-homework-titanic-framework", "kernel_id": "4899816"}, {"ref": "dzurel/kernel44e7668f43", "kernel_id": "4984584"}, {"ref": "nminhnguyen/titanic-mim", "kernel_id": "4691365"}, {"ref": "abajad/titanic-v1", "kernel_id": "4810751"}, {"ref": "pratyushnathsahu/titanic-dataset-kaggle", "kernel_id": "4709481"}, {"ref": "zebranerd/titanic-survival-classification", "kernel_id": "4718015"}, {"ref": "ktrushnikov/kernel-titanic", "kernel_id": "4953446"}, {"ref": "systemvaz/titanic-with-tensorflow-dnn", "kernel_id": "4825169"}, {"ref": "haricharanbk/a-comprehensive-ml-workflow-with-python", "kernel_id": "4891766"}, {"ref": "junhyeok1103/mytest", "kernel_id": "4749303"}, {"ref": "y09255/eda-to-prediction-dietanic-copy-and-study", "kernel_id": "4822615"}, {"ref": "thrasy/various-trial-knn-svc-rforest-nn-0-62-0-78", "kernel_id": "4803523"}, {"ref": "sdathenaliu/titanic-survivor-kaggle", "kernel_id": "4791707"}, {"ref": "richardlee87/titanic-a-simple-classifier", "kernel_id": "4825318"}, {"ref": "yunwei10/titanic-workshop", "kernel_id": "4814993"}, {"ref": "girloc/keras-r-titanic-11afb1", "kernel_id": "4815273"}, {"ref": "suneelpatel/learn-ml-from-titanic-disaster", "kernel_id": "4916598"}, {"ref": "proitm/titanic-logistic-regression", "kernel_id": "4847907"}, {"ref": "mbkylekwon/kernelbdfd3fa95e", "kernel_id": "4951702"}, {"ref": "tewariaditya03/titanic-solution", "kernel_id": "4846129"}, {"ref": "carletonai/carleton-ai-ml-on-titanic-dataset", "kernel_id": "4852226"}, {"ref": "fredghostkyle/data-science-workshop", "kernel_id": "4852086"}, {"ref": "jyotinbhan87/kernel-bhanjyotin12", "kernel_id": "4972886"}, {"ref": "yiqizhao/titanic-logistic-regression-from-scratch", "kernel_id": "4995065"}, {"ref": "sohrabganjian/titanic-case-study-analyzing-every-feature", "kernel_id": "4903688"}, {"ref": "mraheel/titanic-machine-learning-from-disaster", "kernel_id": "4899464"}, {"ref": "mmatapathy/magesh-s-titanic", "kernel_id": "4923857"}, {"ref": "nahyunleylalee/nahyun-leyla-lee-data-analysis", "kernel_id": "4906067"}, {"ref": "nicopradi/getting-started-titanic", "kernel_id": "4922714"}, {"ref": "dataleaning/titanic-discovery", "kernel_id": "4968802"}, {"ref": "robert82127/kernelf93a23b4de", "kernel_id": "4977746"}, {"ref": "deepak7376/titanic-survival", "kernel_id": "4981119"}, {"ref": "shiva24/titanic-data-eda", "kernel_id": "5853926"}, {"ref": "hamelg/dplyr-in-r", "kernel_id": "5794692"}, {"ref": "popiol/sk-adaboost-decisiontree-vs-tf-boostedtrees", "kernel_id": "5233212"}, {"ref": "parvij/small-challenge-should-we-fill-embarked-with-c", "kernel_id": "5608977"}, {"ref": "priteshshrivastava/titanic-hyperparameter-tuning-trees-in-rf", "kernel_id": "5512083"}, {"ref": "thimac/catboost", "kernel_id": "5197700"}, {"ref": "thimac/chimtau", "kernel_id": "5174830"}, {"ref": "nickel/fronteras-de-decisi-n", "kernel_id": "5216434"}, {"ref": "nickel/pin2019", "kernel_id": "5747927"}, {"ref": "nesterione/examples-pandas-profiling", "kernel_id": "5059414"}, {"ref": "edgelab/titanic-eda-r", "kernel_id": "5411217"}, {"ref": "afkar337907/eda-data-visualization", "kernel_id": "5943690"}, {"ref": "jruiz82/titanic", "kernel_id": "5106437"}, {"ref": "jyeran/a-titanic-demo", "kernel_id": "5679197"}, {"ref": "pabloa/ejercicio-titanic", "kernel_id": "5680754"}, {"ref": "parulpandey/titanic-eda-with-tableau", "kernel_id": "5904196"}, {"ref": "parulpandey/deep-dive-into-logistic-regression-for-beginners", "kernel_id": "5999501"}, {"ref": "nimas199/titanic-survival-prediction-with-neural-net", "kernel_id": "5171494"}, {"ref": "abhinandanmukherjee/titanic-a-hello-world-for-machine-learning", "kernel_id": "5616085"}, {"ref": "surbhigupt/titanic-survival-prediction", "kernel_id": "5682276"}, {"ref": "hsidlagh/titanic-survival", "kernel_id": "5723827"}, {"ref": "danieleewww/a-tutorial-for-complete-beginners", "kernel_id": "5938467"}, {"ref": "vabatista/titanic-auto-ml-library", "kernel_id": "5949118"}, {"ref": "sharonyeji/titanic-project-logistic-regression", "kernel_id": "5362583"}, {"ref": "terrycheng/titanic", "kernel_id": "5849552"}, {"ref": "nipulseervi/titanic", "kernel_id": "5775834"}, {"ref": "patricksu/titanic-feature-engineering-ensemble-v3", "kernel_id": "5036939"}, {"ref": "paulorzp/titanic-gp-model-training", "kernel_id": "5435933"}, {"ref": "sorochilco/titanic-logreg", "kernel_id": "5626399"}, {"ref": "iomili/titanic-dataset-with-xgb", "kernel_id": "5563462"}, {"ref": "rockdrigoma/titanic-survivors-prediction", "kernel_id": "5899774"}, {"ref": "pedrociancaglini/titanic-machine-learning-algorithms", "kernel_id": "5473065"}, {"ref": "pcborty/titanic-classifying-survival-with-eda", "kernel_id": "5106186"}, {"ref": "jacobeturpin/kernel722a813f30", "kernel_id": "5924156"}, {"ref": "celsofaf/curso-tic-kernel-feito-ao-vivo", "kernel_id": "5213457"}, {"ref": "hari141v/my-first-kernel", "kernel_id": "5947523"}, {"ref": "shadabhussain/titanic-kernel", "kernel_id": "5859374"}, {"ref": "naeemkh/titanic-utility-functions-prediction-model", "kernel_id": "5342420"}, {"ref": "schwinger/titanic-challenge", "kernel_id": "5349286"}, {"ref": "rajashri/gradientboostingclassifier-with-gridsearchcv", "kernel_id": "5453781"}, {"ref": "karanchhabra99/titanic", "kernel_id": "5748932"}, {"ref": "joanneburke/titanic-newbie", "kernel_id": "5591473"}, {"ref": "gauravbrills/titanic-scrapsheet", "kernel_id": "5966470"}, {"ref": "naikparag/titanic-training-eda", "kernel_id": "5913432"}, {"ref": "gxexeo/eda-feature-engineering-comparison-ml-accuracy", "kernel_id": "5370545"}, {"ref": "bombatkarvivek/pyspark-ml-pipeline-with-titanic-dataset-eda", "kernel_id": "5718993"}, {"ref": "bombatkarvivek/pyspark-ml-titanic-machine-learning-str-features", "kernel_id": "5168099"}, {"ref": "bombatkarvivek/pyspark-ml-titanic-machine-learning-basic-dt-rf", "kernel_id": "5093164"}, {"ref": "bombatkarvivek/pyspark-ml-titanic-machine-learning-strfeaturesv4", "kernel_id": "5449061"}, {"ref": "bombatkarvivek/pyspark-ml-titanic-machine-learning-strfeaturesv3", "kernel_id": "5427305"}, {"ref": "bombatkarvivek/pyspark-ml-titanic-machine-learning-strfeaturesv2", "kernel_id": "5409771"}, {"ref": "w824429156/encoded-method-vating-model", "kernel_id": "5070622"}, {"ref": "rubensbolgheroni/kernel564304cf6e", "kernel_id": "5938675"}, {"ref": "udaybhaskarp/kernel5b554ad348", "kernel_id": "5512941"}, {"ref": "currypurin/titanic-lightgbm-ex-ver2", "kernel_id": "5868797"}, {"ref": "currypurin/tutorial-of-kaggle-ver6-optuna", "kernel_id": "5816887"}, {"ref": "currypurin/tutorial-of-kaggle-ver4-ch5", "kernel_id": "5811773"}, {"ref": "currypurin/tutorial-of-kaggle-ver4-hurokub", "kernel_id": "5812771"}, {"ref": "currypurin/titanic-lightgbm-ver2", "kernel_id": "5868689"}, {"ref": "currypurin/tutorial-of-kaggle-ver4-ch3", "kernel_id": "5794447"}, {"ref": "currypurin/tutorial-of-kaggle-ver4-ch3-3", "kernel_id": "5795391"}, {"ref": "currypurin/tutorial-of-kaggle-ver4-ch4", "kernel_id": "5802365"}, {"ref": "chmaxx/train-12-regressors-with-just-one-line-of-code", "kernel_id": "5945787"}, {"ref": "cddelta/learning-with-the-titanic-dataset", "kernel_id": "5224115"}, {"ref": "robertalonso29/titanic-simple-example", "kernel_id": "5479762"}, {"ref": "ho2708/titanic-machine-learning-from-disaster-eda", "kernel_id": "5020676"}, {"ref": "liudj2008/initial-titanic-prediction-using-rf-and-cv", "kernel_id": "5093546"}, {"ref": "vochicong/tensorflow-boosted-trees", "kernel_id": "5220693"}, {"ref": "ekrembayar/titanic-eda-with-r", "kernel_id": "5257294"}, {"ref": "sjodcre/quick-guide-to-missing-values", "kernel_id": "5959031"}, {"ref": "sjodcre/ensemble-template", "kernel_id": "5941901"}, {"ref": "sjodcre/compilation-of-visualization-tools", "kernel_id": "5931530"}, {"ref": "tosinbells/titanic-survival-prediction-random-forest", "kernel_id": "5720279"}, {"ref": "tosinbells/titanic-survival-prediction-cart", "kernel_id": "5717483"}, {"ref": "tosinbells/titanic-survival-prediction-logistic-regression-r", "kernel_id": "5465808"}, {"ref": "tosinbells/titanic-survival-prediction-logistic-reg-r-v2", "kernel_id": "5590766"}, {"ref": "piethon/a-statistical-analysis-ml-workflow-of-titanic", "kernel_id": "5608332"}, {"ref": "kabure/titanic-baseline-eda-pipes", "kernel_id": "5214844"}, {"ref": "grapestone5321/titanic-zen-of-python", "kernel_id": "5868236"}, {"ref": "grapestone5321/titanic-explorer-dataset", "kernel_id": "5827410"}, {"ref": "grapestone5321/titanic-data-visualization", "kernel_id": "5826105"}, {"ref": "grapestone5321/exploratory-data-analysis-on-titanic-data", "kernel_id": "5822249"}, {"ref": "jonasg/standard-ml", "kernel_id": "5214044"}, {"ref": "natesolon/connectai-boston", "kernel_id": "5818321"}, {"ref": "pradeepmuniasamy/beginner-s-guide-to-predict-titanic-survival", "kernel_id": "5768259"}, {"ref": "tonyj93/starter-pack-tutorial-with-detailed-notes", "kernel_id": "5616828"}, {"ref": "utkarsh1997/play-with-titanic-data-and-good-vis", "kernel_id": "5999262"}, {"ref": "dboyaoao/titanic-decisiont-method-and-data-visualization", "kernel_id": "5966358"}, {"ref": "vikumsw/guide-on-hyperparameter-tuning-using-gridsearchcv", "kernel_id": "5727795"}, {"ref": "vedant511/tutorial-python-analysis-and-prediction-80", "kernel_id": "5087914"}, {"ref": "sambitmukherjee/eda-random-forest", "kernel_id": "5081494"}, {"ref": "aptx0218/kernel6016b14238", "kernel_id": "5467818"}, {"ref": "aptx0218/jim-sen-wansui", "kernel_id": "5429381"}, {"ref": "deepkiran/first-competition", "kernel_id": "5721717"}, {"ref": "princejaiswal03/titanic-prediction-code", "kernel_id": "5874351"}, {"ref": "diskandar69/titanic-survival-prediction", "kernel_id": "5406631"}, {"ref": "gazensuwal/titanic-data-science-solutions", "kernel_id": "5871067"}, {"ref": "charlesbird3/sklearn-votingclassifier", "kernel_id": "5310146"}, {"ref": "shabab477/final-score-titanic-training", "kernel_id": "5386509"}, {"ref": "annamarcilio/titanic-survival-prediction", "kernel_id": "5836262"}, {"ref": "maheswarareddyp/titanic-data-science-solutions", "kernel_id": "5728472"}, {"ref": "jptk2010/kernel-titanic-with-python-keras-simple", "kernel_id": "5196513"}, {"ref": "revyung2017/titanic-machine-learning", "kernel_id": "5937373"}, {"ref": "alexanderdbooth/titanic-extensive-pre-processing-xgboost", "kernel_id": "5725591"}, {"ref": "achyuthuni/logistic-regression-tutorial-using-titanic", "kernel_id": "5026835"}, {"ref": "saifali2998/easiestwaytoget100-accuacymethod", "kernel_id": "5259038"}, {"ref": "hyunhwanj/titanic-xgboost", "kernel_id": "5206304"}, {"ref": "sanghyublee/titanic-0820-logistic-comparing-stratified", "kernel_id": "5408113"}, {"ref": "noorellg/noorellg", "kernel_id": "5955329"}, {"ref": "robindp/getting-started", "kernel_id": "5855378"}, {"ref": "balakowsalya007/titanicdataset", "kernel_id": "5168292"}, {"ref": "shanu1988/titanic-survived", "kernel_id": "5021822"}, {"ref": "plasticgrammer/titanic-predict-survivors", "kernel_id": "5764511"}, {"ref": "plasticgrammer/kaggle-titanic", "kernel_id": "5714475"}, {"ref": "eigenlaw/titanic-wcg-xgboost-0-84688", "kernel_id": "5314377"}, {"ref": "hn4ever/titanic-tree-model-with-high-accuracy-of-89-9", "kernel_id": "5833099"}, {"ref": "srinivasvishal7/kernelaf45ad6661", "kernel_id": "5121120"}, {"ref": "marcthalen/titanic-top-10-svm-kernel", "kernel_id": "5914621"}, {"ref": "dqhcjlu06/titanic-prediction", "kernel_id": "5650216"}, {"ref": "caiohcoliveira/titanic-resolution", "kernel_id": "5621344"}, {"ref": "anu0703shree/kernela826e2c465", "kernel_id": "5460794"}, {"ref": "vadhri/comparing-glm-gbm-nb-and-rf-in-r-on-titanic-data", "kernel_id": "5014476"}, {"ref": "murali0861/titanic-disaster-survival-chances", "kernel_id": "5643691"}, {"ref": "averageaf/titanic-beginner-logistic-regression", "kernel_id": "5179731"}, {"ref": "d4rkmatter/titanic-sink-or-swim", "kernel_id": "5361681"}, {"ref": "balaj2e2/titanic-v1", "kernel_id": "5242559"}, {"ref": "ayakhaled2/semi-supervised-classification-using-autoencoders", "kernel_id": "5979664"}, {"ref": "sishihara/upura-kaggle-tutorial-06-validation", "kernel_id": "5519896"}, {"ref": "sishihara/upura-kaggle-tutorial-07-ensemble", "kernel_id": "5522365"}, {"ref": "sishihara/upura-kaggle-tutorial-05-tuning", "kernel_id": "5480211"}, {"ref": "sishihara/upura-kaggle-tutorial-04-lightgbm", "kernel_id": "5476428"}, {"ref": "sishihara/upura-kaggle-tutorial-03-feature-engineering", "kernel_id": "5454450"}, {"ref": "evavanrooijen/first-try-at-any-competition-at-all-more-to-come", "kernel_id": "5129232"}, {"ref": "babyyyyyyyy/titanic-dataset-using-r", "kernel_id": "5490637"}, {"ref": "tanee94uit2010/titanic-machine-learning", "kernel_id": "5265997"}, {"ref": "mahendrabishnoi2/titanic-eda-modelling", "kernel_id": "5238586"}, {"ref": "natansilva/titanic-survivor", "kernel_id": "5303853"}, {"ref": "mahmoodalrayhan/titanic-machine-learning-from-disaster", "kernel_id": "5790670"}, {"ref": "adavydenko/titanic-solution-a-beginner-s-guide-russian", "kernel_id": "5896134"}, {"ref": "mehulgupta2016154/fork-of-tableau-finds-survivors-90a1ce", "kernel_id": "5618807"}, {"ref": "sateesh110/sl-scikit-feature-eng-classifiers", "kernel_id": "5008789"}, {"ref": "adibakm/titanic-solution", "kernel_id": "5344545"}, {"ref": "gothram/titanic", "kernel_id": "5897080"}, {"ref": "delisabeths/damayanti-elisabeth", "kernel_id": "5955520"}, {"ref": "vbmokin/three-lines-of-code-for-titanic-top-15", "kernel_id": "5902397"}, {"ref": "vbmokin/three-lines-of-code-for-titanic-top-20", "kernel_id": "5890064"}, {"ref": "kjeril/kernel-titanic", "kernel_id": "5378023"}, {"ref": "kensukeokojima/titanic-data-analysis-japanese-comment", "kernel_id": "5019924"}, {"ref": "jaeboklee/titanic-eda-to-prediction", "kernel_id": "5542388"}, {"ref": "zmin2018/machine-learning-for-beginners", "kernel_id": "5762633"}, {"ref": "maanpaul1996/kernel2088c2dc19", "kernel_id": "5678981"}, {"ref": "diegonoceli/titanic2", "kernel_id": "5574574"}, {"ref": "panditdandgule/complete-beginner-your-first-titanic-submission", "kernel_id": "5913109"}, {"ref": "roydatascience/bayesian-optimization-for-tuning-hyper-parameters", "kernel_id": "5315840"}, {"ref": "prashant111/eda-is-fun", "kernel_id": "5954097"}, {"ref": "ahenrici/titanic-challenge", "kernel_id": "5503632"}, {"ref": "vijayala8/predict-survival-using-logistic-regression", "kernel_id": "5627299"}, {"ref": "pymacbit/ann-titanic", "kernel_id": "5510575"}, {"ref": "q839651612/feature-engineering-and-model-ensemble", "kernel_id": "5679635"}, {"ref": "bhallaakshit/titanic-prediction-top-14", "kernel_id": "5906956"}, {"ref": "ahmedelsaied3210/titanic-solution", "kernel_id": "5357500"}, {"ref": "josephvm/titanic-ensemble-learning-79-4", "kernel_id": "5786888"}, {"ref": "rajjai3/titanicdataset-survivalprediction-91-accuracy", "kernel_id": "5837622"}, {"ref": "depmountaineer/titanic-logistic-classification", "kernel_id": "5464596"}, {"ref": "depmountaineer/decision-tree-visualization", "kernel_id": "5486397"}, {"ref": "jovianjaison/titanic-submission", "kernel_id": "5779684"}, {"ref": "mbeliu/walkthrough-solution-to-titanic-competition", "kernel_id": "5708578"}, {"ref": "santhoriyu/titanic-survival-prediction", "kernel_id": "5313154"}, {"ref": "sudipta10/titanic", "kernel_id": "5396132"}, {"ref": "hoshi7/one-liner-to-import-all-libraries", "kernel_id": "5326169"}, {"ref": "nrobxam/titanic-k-means-grid-search", "kernel_id": "5347656"}, {"ref": "sixsaku/kernel3fb7d24767", "kernel_id": "5598078"}, {"ref": "anjiprasad/pytanic", "kernel_id": "5668397"}, {"ref": "sawickipiotr/titanicdisasteranalysis", "kernel_id": "5422392"}, {"ref": "ukveteran/tpot-titanic-jma-101", "kernel_id": "5950405"}, {"ref": "pranaysingh25/titanic-dataset-a-decent-beginner-approach", "kernel_id": "5431004"}, {"ref": "grantgasser/titanic-xgboost-quick-start", "kernel_id": "5307225"}, {"ref": "victen/titanic-predictions", "kernel_id": "5474902"}, {"ref": "pintusarkhel1997/titanic", "kernel_id": "5085975"}, {"ref": "enginacikgoz/eda-titanic", "kernel_id": "5003038"}, {"ref": "arishh/kernelbf699a1be7", "kernel_id": "5250683"}, {"ref": "anujsahay112/kernel726ce30045", "kernel_id": "5894541"}, {"ref": "guochenghu2006/titanic-mark", "kernel_id": "5231889"}, {"ref": "kaerunantoka/pytorch-lightening-for-titanic", "kernel_id": "5553332"}, {"ref": "boshea/titanic-entry", "kernel_id": "5030238"}, {"ref": "debanjanmukherjee/titanic-notebook-debanjanmukherjee", "kernel_id": "5567796"}, {"ref": "hfh160130/titanic-classification-with-keras", "kernel_id": "5556745"}, {"ref": "hankbo/an-interactive-data-science-tutorial", "kernel_id": "5056107"}, {"ref": "rodcardoso92/titanic-ensemble-method-and-data-visualization", "kernel_id": "5875990"}, {"ref": "rohanshetty678/impute-age-with-linear-regression", "kernel_id": "5150670"}, {"ref": "colinahill/titanic-survival", "kernel_id": "5227266"}, {"ref": "abdeljalil/titanic-dataset-with-ensemble-modeling", "kernel_id": "5157789"}, {"ref": "ahkerrigan/titanic-script", "kernel_id": "5890380"}, {"ref": "fycher/exercicio-titanic", "kernel_id": "5711189"}, {"ref": "jsvishnuj/survival-prediction-using-ml-for-beginners", "kernel_id": "5864729"}, {"ref": "kjtg790/kernel456a7f893d", "kernel_id": "5673226"}, {"ref": "amishkapoor1995/titanic-basic-eda", "kernel_id": "5087473"}, {"ref": "datatricks/support-vector-machine-in-r-80-accuracy", "kernel_id": "5474324"}, {"ref": "halahassouna/titanic-competition", "kernel_id": "5659647"}, {"ref": "astraszab/predicting-titanic-survival-with-python-xgboost", "kernel_id": "5240422"}, {"ref": "kichy177/titanic-notebook-v2", "kernel_id": "5609846"}, {"ref": "kichy177/titanic-dataset", "kernel_id": "5193803"}, {"ref": "allaboutdatascience/extensive-eda-ensemble-modelling-on-titanic", "kernel_id": "5630602"}, {"ref": "robgol/titanic", "kernel_id": "5351620"}, {"ref": "raqeeb/eda-modeling-h2oautoml-titanic", "kernel_id": "5572707"}, {"ref": "venky12347/titanic-survival-prediction", "kernel_id": "5191029"}, {"ref": "asilkanv/titanic-eda-ml", "kernel_id": "5946951"}, {"ref": "drexpz/titanic-xgboost-nn", "kernel_id": "5119793"}, {"ref": "rahulnathan/kernel6fe453ea21", "kernel_id": "5557517"}, {"ref": "frtgnn/thorough-eda-with-a-single-line-pandas-profiling", "kernel_id": "5037561"}, {"ref": "codeayu/label-and-one-hot-enconding-90-accuracy", "kernel_id": "5708322"}, {"ref": "vincentyoung/titanic-a-solution-featuring-svm", "kernel_id": "5564926"}, {"ref": "vincentyoung/titanic-a-solution-featuring-random-forest", "kernel_id": "5542848"}, {"ref": "vincentyoung/titanic-a-solution-featuring-logistic-regression", "kernel_id": "5487730"}, {"ref": "pierpaolo28/getting-started-with-r", "kernel_id": "5630459"}, {"ref": "pierpaolo28/titanic-ensemble-learning", "kernel_id": "5977210"}, {"ref": "johnsonmwj1/kaggle-titanic-tutorial", "kernel_id": "5802314"}, {"ref": "noelmat/eda-data-cleaning-and-tsne-on-titanic", "kernel_id": "5421572"}, {"ref": "alexeylazarev/titanic-for-netology", "kernel_id": "5898352"}, {"ref": "madhura1904/titanic", "kernel_id": "5942022"}, {"ref": "euminseo/simple-tutorial-for-beginners", "kernel_id": "5168046"}, {"ref": "hlamba053/lr-cleaned", "kernel_id": "5722603"}, {"ref": "germanocorrea/titanic-first-draft", "kernel_id": "5876858"}, {"ref": "ishitha/titanic-problem-randomforestclassifier-score-98-2", "kernel_id": "5890659"}, {"ref": "ironzinc/titanic-quick-eda", "kernel_id": "5982404"}, {"ref": "mrlucasfischer/binary-classifier-for-titanic-dataset", "kernel_id": "5640244"}, {"ref": "ossinova/basic-titanic-model", "kernel_id": "5548920"}, {"ref": "re022598/tuning-xgboost-to-predict-titanic-survival", "kernel_id": "5785164"}, {"ref": "sinchir0/will-categorical-feature-really-improve-accuracy", "kernel_id": "5251464"}, {"ref": "pbrant/titanic-disaster-for-kaggle-learn", "kernel_id": "5830749"}, {"ref": "takafumis0911/titanic-survival-rate", "kernel_id": "5289814"}, {"ref": "giovanninig/titanic-chance-of-survival", "kernel_id": "5806392"}, {"ref": "saxarchit/titanic-eda", "kernel_id": "5806623"}, {"ref": "njbultman/titanic-woes", "kernel_id": "5939073"}, {"ref": "jimimao/plafortitanic", "kernel_id": "5762183"}, {"ref": "sumamandalreddy/kernel53d0384471", "kernel_id": "5641176"}, {"ref": "vidu333/titanic-binary-classification", "kernel_id": "5851685"}, {"ref": "sachinkun21/titanic-disaster-prediction", "kernel_id": "5643102"}, {"ref": "limwenhau/titanic-logistic-regression", "kernel_id": "5720659"}, {"ref": "liujiantao/titanic", "kernel_id": "5955935"}, {"ref": "drobchak1988/titanic-surviveds", "kernel_id": "5007144"}, {"ref": "alexisbcook/getting-started-with-titanic", "kernel_id": "5517387"}, {"ref": "alexisbcook/titanic-tutorial", "kernel_id": "5660537"}, {"ref": "ashwin89872/titanic-prediction-using-keras", "kernel_id": "5216199"}, {"ref": "vishalsinghtomar/kernel45cccbfe1d", "kernel_id": "5521402"}, {"ref": "rmeoner/myfirst-titanic", "kernel_id": "5270402"}, {"ref": "jobandeep2417/titanic-best-working-classifier", "kernel_id": "5769041"}, {"ref": "imammuhajir/titanic-solution", "kernel_id": "5826752"}, {"ref": "chaitanyagarikipati/titanic-101", "kernel_id": "5513095"}, {"ref": "redaabdou/titanic-solution-data-cleaning-ml", "kernel_id": "5376786"}, {"ref": "rajdonga97/titanic", "kernel_id": "5831447"}, {"ref": "abhhii/titanicsubmission1", "kernel_id": "5632086"}, {"ref": "shrutikaggle/basic-titanic-model", "kernel_id": "5583150"}, {"ref": "amritk10/titanic-voyage", "kernel_id": "5206845"}, {"ref": "srishtivishnoi/titanic", "kernel_id": "5612847"}, {"ref": "himaoka/titanic-simple-random-forest", "kernel_id": "5561643"}, {"ref": "manojrustagi/titanic-prediction-model", "kernel_id": "5645184"}, {"ref": "aswath1711/insights-insights-and-insights", "kernel_id": "5239792"}, {"ref": "mabusalah/titanic", "kernel_id": "5809449"}, {"ref": "praanj/naivebayes-classifier-for-titanic-problem", "kernel_id": "5087726"}, {"ref": "praanj/titanic-decision-tree-complete-evaluation", "kernel_id": "5043030"}, {"ref": "dimaka/veritas-titanic", "kernel_id": "5054865"}, {"ref": "youkevin/kernel5913406661", "kernel_id": "5962849"}, {"ref": "saurabhkdm721/titatnic-eda", "kernel_id": "5836980"}, {"ref": "saurabhkdm721/titanic-data-exploration", "kernel_id": "5837077"}, {"ref": "samueljklee/titanic-prediction-kernel-samueljklee", "kernel_id": "5553890"}, {"ref": "phykn88/attention-example", "kernel_id": "5600481"}, {"ref": "xingxn/kernel77c010e84c", "kernel_id": "5147215"}, {"ref": "mamunalbd4/mamun-titanic", "kernel_id": "5671570"}, {"ref": "anjaneyavarma5598/titanic-machine-learning-from-disaster-prediction", "kernel_id": "5353006"}, {"ref": "cvarun/titanic-survival-a-beginner-s-analysis", "kernel_id": "5256249"}, {"ref": "eiodelami/titanic-nn", "kernel_id": "5231150"}, {"ref": "shari18/titanic-prediction", "kernel_id": "5983801"}, {"ref": "boobathiayyasamy/titanic-survival-prediction-tensorflow-2-and-keras", "kernel_id": "5302143"}, {"ref": "praneshsaminathan/kernel17a62d17a4", "kernel_id": "5458063"}, {"ref": "broaditya/jeffry-a", "kernel_id": "5955347"}, {"ref": "lalbabusah/titanic-machine-learning-from-disaster", "kernel_id": "5017220"}, {"ref": "bogdanz/titanic-simple-model-reaching-80-accuracy", "kernel_id": "5772898"}, {"ref": "mtszkw/titanic-eda-random-forest-classification", "kernel_id": "5515762"}, {"ref": "sgavlickgraham/xgboost-classifier-on-titanic-data", "kernel_id": "5088077"}, {"ref": "lisosia/catboost", "kernel_id": "5988473"}, {"ref": "jleibow27/titanic-survival-seaborn-and-ensembles", "kernel_id": "5044172"}, {"ref": "vidyabhandary/titanic-eda-hyperparameters", "kernel_id": "5103938"}, {"ref": "chandraveshchaudhari/titanic-my-first-project", "kernel_id": "5133366"}, {"ref": "abhinav223/kernelee56a81e6d", "kernel_id": "5140982"}, {"ref": "nkaps98/titanic-eda-predictions", "kernel_id": "5051181"}, {"ref": "nobuaki1978/experimenting-with-titanic", "kernel_id": "5902356"}, {"ref": "rajabalanm/titanic-survival-analysis", "kernel_id": "5768215"}, {"ref": "ghousethanedar/titanic-nn", "kernel_id": "5765188"}, {"ref": "mzp0625/titanic-machine-learning-from-disaster", "kernel_id": "5651222"}, {"ref": "o93333/titanic-tutorial", "kernel_id": "5683672"}, {"ref": "adikeshri/titanic-babyy", "kernel_id": "5956892"}, {"ref": "umairnsr87/titanic-kernel", "kernel_id": "5736534"}, {"ref": "mselimozen/titanic", "kernel_id": "5172106"}, {"ref": "jiyad1/titanic-jr", "kernel_id": "5955022"}, {"ref": "ahmedhisham73/kernel4323c0c235", "kernel_id": "5369036"}, {"ref": "shrutinikkigupta/titanic-machine-learning", "kernel_id": "5257217"}, {"ref": "swordfishwjy/titanic-demo", "kernel_id": "5774859"}, {"ref": "akashbb/car-price-pred", "kernel_id": "5225267"}, {"ref": "akashbb/titanic", "kernel_id": "5677156"}, {"ref": "mriduldhawan30/titanic-life-saving-project", "kernel_id": "5657371"}, {"ref": "hasan08sust/titanic-dataset-predicting-who-survive", "kernel_id": "5630171"}, {"ref": "kk0105/titanic-top4-majority-voting-0-82", "kernel_id": "5071548"}, {"ref": "redawashere/titanic-survival-predictions", "kernel_id": "5809830"}, {"ref": "lair0826/titanic-ver02", "kernel_id": "5390700"}, {"ref": "savanthegreat/code-notebook", "kernel_id": "5455381"}, {"ref": "shahin21/titanic-data-analysis", "kernel_id": "5913281"}, {"ref": "pksx01/titanic-survival-prediction-logistic-regression", "kernel_id": "5020725"}, {"ref": "arpitaj/titianic-survival-rate", "kernel_id": "5243518"}, {"ref": "enjoyu/joy-trial", "kernel_id": "5645526"}, {"ref": "enjoyu/titanic-translation", "kernel_id": "5560514"}, {"ref": "kpimparkar/logistic-regression-on-titanic-data-set", "kernel_id": "5165782"}, {"ref": "hyeminoh/titanic-competition-for-week-1", "kernel_id": "5628046"}, {"ref": "yeshuping/kerneltitanic", "kernel_id": "5311691"}, {"ref": "mdiqbalbajmi/titanic-survival-prediction-beginner", "kernel_id": "5812649"}, {"ref": "aroonkp/titanic-simplest-solution-top-12", "kernel_id": "5874735"}, {"ref": "sourabh219/kernel7bb5192319", "kernel_id": "5579521"}, {"ref": "sspeedy99/titanic-data-analysis-ensemble-learning-and-eda", "kernel_id": "5213367"}, {"ref": "akshat0007/the-great-titanic", "kernel_id": "5626864"}, {"ref": "adujohn/a-beginner-approach", "kernel_id": "5188078"}, {"ref": "guidant/a-comprehensive-guide-to-get-to-the-top-15", "kernel_id": "5315723"}, {"ref": "guidant/neuraltitanic-a-keras-neural-networks-guide", "kernel_id": "5801202"}, {"ref": "anshul545/titanic-model", "kernel_id": "5884432"}, {"ref": "vishnupy/titanic-preds-sklearn-and-ensemble-with-fe-and-eda", "kernel_id": "5766212"}, {"ref": "vishnupy/kaggle-titanicsurvival-pred-xgb", "kernel_id": "5884197"}, {"ref": "ajeevansh/titanic-survival-predictor", "kernel_id": "5277619"}, {"ref": "lejimmy/chapter-03-applying-hands-on-ml-with-scikit-learn", "kernel_id": "5211548"}, {"ref": "butfirstcode/using-randomforestclassifier-to-predict-survival", "kernel_id": "5201782"}, {"ref": "someshugar/titanic-data-eda-and-prediction-model", "kernel_id": "5254819"}, {"ref": "kunakash/second-commit-for-titanic-competition", "kernel_id": "5060285"}, {"ref": "sriloksagar/titanic-survival-prediction-98-accuracy", "kernel_id": "5014292"}, {"ref": "elmehdichouki/using-caret-randomforest-in-r-for-top-10", "kernel_id": "5178782"}, {"ref": "brainadventure/kernelb9e65cd528", "kernel_id": "5518162"}, {"ref": "paragraf22/titanic", "kernel_id": "5525808"}, {"ref": "soumel/titanic-ml", "kernel_id": "5024409"}, {"ref": "krshiva/titanic-regression-classification-beginner", "kernel_id": "5967889"}, {"ref": "ibrahimmahroum/titanic-disaster-top-11", "kernel_id": "5630038"}, {"ref": "cdonohue/titanic-2", "kernel_id": "5304905"}, {"ref": "cdonohue/titanicdataset", "kernel_id": "5193329"}, {"ref": "sonodamasat0shi/titanic", "kernel_id": "5900428"}, {"ref": "udbhavpangotra/extensive-eda-lb-5", "kernel_id": "5885355"}, {"ref": "debapratimghosh1/kernelc676ef184a", "kernel_id": "5145617"}, {"ref": "vanquan/titanic-prediction-eda-model-try-out", "kernel_id": "5223919"}, {"ref": "junheeshin/titanic-analyze-and-predict-nn", "kernel_id": "5243674"}, {"ref": "agajorte/titanic-evaluating-14-distinct-algorithms", "kernel_id": "5713491"}, {"ref": "frostplayground/titanic-ml-practice", "kernel_id": "5072601"}, {"ref": "bidishasarkar/titanic-logistic-regression-with-python", "kernel_id": "5313904"}, {"ref": "sumeetmirdoddi/titanic-dataset", "kernel_id": "5160493"}, {"ref": "kacperk77/titanic-machine-learning", "kernel_id": "5963018"}, {"ref": "hgfernandes/titanic-disaster", "kernel_id": "5744199"}, {"ref": "fakhribj24/eda-classification-in-titanic-dataset", "kernel_id": "5676380"}, {"ref": "asuenotabizi/kernel18920a974a", "kernel_id": "5825430"}, {"ref": "ultimateking16/using-logistic-regression-for-the-titanic-problem", "kernel_id": "5525244"}, {"ref": "makozi/titanic-ml-from-disaster", "kernel_id": "5204687"}, {"ref": "mwickers/kernel714f7f9276", "kernel_id": "5976807"}, {"ref": "tovvelie/titanik-find-parameters-for-rfc", "kernel_id": "5412769"}, {"ref": "manohar676/bay-to-hyperparameter-tuning-with-gridsearchcv", "kernel_id": "5815043"}, {"ref": "ajersovs/titanic-simple-blending-of-tree-classifiers-79-9", "kernel_id": "5997208"}, {"ref": "ajersovs/titanic-popular-models-voting", "kernel_id": "5997074"}, {"ref": "legnaxz/my-first-kaggle-kernel", "kernel_id": "5099462"}, {"ref": "rohan9889/titanic-kernel-with-xgboost", "kernel_id": "5787184"}, {"ref": "andreifnmg/solution-with-knn", "kernel_id": "5162796"}, {"ref": "nazihkalo/titanic-eda-and-modeling-to-predict-survival-79", "kernel_id": "5246623"}, {"ref": "sandunamarathunga/machine-learning-for-cyber-security-assignment", "kernel_id": "5468647"}, {"ref": "nickodemusrr/predict-titanic-survivors", "kernel_id": "5594906"}, {"ref": "lukeswalks/titanic-logistic-regression-kernel-upload", "kernel_id": "5150546"}, {"ref": "hungtp/titanic-playground", "kernel_id": "5906641"}, {"ref": "ahmed4fee/titanice-simple-kernel-beginner", "kernel_id": "5222972"}, {"ref": "akshaypaliwal709/titanic", "kernel_id": "5635537"}, {"ref": "andersonliege/titanic-decision-tree", "kernel_id": "5835730"}, {"ref": "remmusxia/titanic", "kernel_id": "5657318"}, {"ref": "triplelift/titanols", "kernel_id": "5976050"}, {"ref": "mp99415/titanic-embarked-sex-and-pclass-features", "kernel_id": "5526981"}, {"ref": "bbissey/titatnicrun2", "kernel_id": "5964767"}, {"ref": "bbissey/artsnobs", "kernel_id": "5880422"}, {"ref": "cuuuurry/eda-simply-xgboost", "kernel_id": "5685051"}, {"ref": "marlonferrari/competition-titanic-passengers", "kernel_id": "5746179"}, {"ref": "shesheerrao/titanic-data-analysis-0909", "kernel_id": "5513436"}, {"ref": "l0new0lf/titanic-survival-eda", "kernel_id": "5618951"}, {"ref": "saikish39/titanic-survival-prediction-ml", "kernel_id": "5787981"}, {"ref": "mayurrindhe/titanic-passenger-survival-prediction", "kernel_id": "5587983"}, {"ref": "regressionsquirrel/titanic-solution", "kernel_id": "5452673"}, {"ref": "shubamsachdeva89/deep-neural-networks", "kernel_id": "5915830"}, {"ref": "manoj12jha/titanic-data-test-set", "kernel_id": "5767024"}, {"ref": "hellomountain/learning-ml-and-python-with-titanic-disaster", "kernel_id": "5830052"}, {"ref": "walifarooqui/titanic-survival-prediction", "kernel_id": "5128713"}, {"ref": "minarabbit/min-titanic-ensemble-modeling3", "kernel_id": "5051417"}, {"ref": "minarabbit/min-ensemble-modeling2", "kernel_id": "5031963"}, {"ref": "utkukubilay/titanic-lgbm-and-eda", "kernel_id": "5776731"}, {"ref": "jongpago/kernel4bb7bd5ddb", "kernel_id": "5207690"}, {"ref": "apratik46/choose-best-classification-algo-tuning-the-model", "kernel_id": "5240503"}, {"ref": "dbtjdals/titanic-machine-learning-from-disaster", "kernel_id": "5910209"}, {"ref": "arains/titanic", "kernel_id": "5046038"}, {"ref": "georgeheinemann/titanic-dataset-logistic-regression", "kernel_id": "5030209"}, {"ref": "georgeheinemann/titanic-dataset-stacked", "kernel_id": "5460305"}, {"ref": "guillesantillan/otra-vez-titanic", "kernel_id": "5821859"}, {"ref": "stanleydf/introduction-to-ensembling-stacking-in-python", "kernel_id": "5130814"}, {"ref": "ajaygopal/titanic", "kernel_id": "5407580"}, {"ref": "kjkr73/titanic-dataset-eda-visualization-ml-dl", "kernel_id": "5560938"}, {"ref": "komalg3220/titanic-classification-all-alogo", "kernel_id": "5365160"}, {"ref": "ritazaslavsky/titanic-votingclassifier", "kernel_id": "5871006"}, {"ref": "tenmayato1/kernaltitanic", "kernel_id": "5270589"}, {"ref": "iekaterina/binary-classifier", "kernel_id": "5164465"}, {"ref": "davidkwon/titanic-prediction-with-logistic-regression", "kernel_id": "5410917"}, {"ref": "williammcmillan/titanic-model-stacking", "kernel_id": "5316153"}, {"ref": "leonorand/kernelb9eaa6a310", "kernel_id": "5158794"}, {"ref": "cheesena/second", "kernel_id": "5508213"}, {"ref": "rajuyadav7532/titanic-eda-and-prediction", "kernel_id": "5237803"}, {"ref": "karinaaromanova/kernel5f381d47dc", "kernel_id": "5109153"}, {"ref": "whatsthevariance/titanic-logistic-reg-randomforest", "kernel_id": "5244286"}, {"ref": "loyalmandal/titanic-analysis", "kernel_id": "5293701"}, {"ref": "mojeico/kernel7a3a53f713", "kernel_id": "5395193"}, {"ref": "kesarwanisatyam2/analysis-of-titanic", "kernel_id": "5784177"}, {"ref": "sanyarx/titanic-solution-choosing-the-best-model-top-20", "kernel_id": "5636558"}, {"ref": "hufe09/titanic-survival-analysis", "kernel_id": "5141778"}, {"ref": "sivakumarai/titanic-survival-prediction-classification", "kernel_id": "5449429"}, {"ref": "sivakumarai/titanic-survival-prediction-solutions", "kernel_id": "5052676"}, {"ref": "otmanbum/titanic-with-randomforestclassifier", "kernel_id": "5698688"}, {"ref": "clover1qq5/simpledetect", "kernel_id": "5656268"}, {"ref": "andreysmith/titanic-survival-prediction-by-decisiontree", "kernel_id": "5089234"}, {"ref": "yuanzilin/kernel4a76752644", "kernel_id": "5692790"}, {"ref": "faressayah/outlier-detection-using-pdf-and-z-score", "kernel_id": "5646215"}, {"ref": "faressayah/ensemble-ml-algorithms-bagging-boosting-voting", "kernel_id": "5876493"}, {"ref": "vijayapurani/titanic", "kernel_id": "5996471"}, {"ref": "alandata666/titanic-machine-learning", "kernel_id": "5348444"}, {"ref": "konovalex/simple-titanic-feature-engineering-random-forest", "kernel_id": "5961355"}, {"ref": "gabrielvcampos/titanic-prediction-knn-pt-br", "kernel_id": "5724003"}, {"ref": "laleeth/titanic-survival-predict", "kernel_id": "5398810"}, {"ref": "alexdefrutos/titanic-with-fastai", "kernel_id": "5257625"}, {"ref": "vikassingh1996/titanic-classification-comprehensive-modeling", "kernel_id": "5202662"}, {"ref": "supersupern0t/titanic-analysis", "kernel_id": "5477763"}, {"ref": "mittalh/titanic-data-visualization", "kernel_id": "5929001"}, {"ref": "rikt789/titaniccompetition-team", "kernel_id": "5723104"}, {"ref": "rikt789/titanic-comp1", "kernel_id": "5626203"}, {"ref": "shubhamsks/titanic-solution", "kernel_id": "5118837"}, {"ref": "rija124/mondai", "kernel_id": "5852647"}, {"ref": "hasanat/hasanat-titanic-challenge", "kernel_id": "5169789"}, {"ref": "kongnyooong/ensemble-practice-for-raw-beginners-to-top-25", "kernel_id": "5888223"}, {"ref": "vermajyoti13993/titanic-my-first-submission", "kernel_id": "5933191"}, {"ref": "amapola/titanicd", "kernel_id": "5051185"}, {"ref": "shiyongpang/titanic-data-gradient-boosted-tree-model-by-r", "kernel_id": "5461690"}, {"ref": "shiyongpang/titanic-data-eda-by-r", "kernel_id": "5441109"}, {"ref": "shiyongpang/titanic-data-randomforest-by-r", "kernel_id": "5455715"}, {"ref": "thecansin/eda-and-data-visualization-titanic", "kernel_id": "5676495"}, {"ref": "durgaprasad64/titanic-predictions-with-different-ml-models", "kernel_id": "5221425"}, {"ref": "dejesuska/titantic-v1", "kernel_id": "5373550"}, {"ref": "charitheshreddy/titanic-survival-prediction", "kernel_id": "5508941"}, {"ref": "hirofukushima/kernelc7770420a7", "kernel_id": "5096757"}, {"ref": "rashmiranjan00/titanic-ensemble-voting", "kernel_id": "5250260"}, {"ref": "return2/titanic-kernel", "kernel_id": "5193872"}, {"ref": "y09255/my-titanic-prediction-test-ver2", "kernel_id": "5428590"}, {"ref": "y09255/my-titanic-prediction", "kernel_id": "5222033"}, {"ref": "y09255/titanic-prediction", "kernel_id": "5075712"}, {"ref": "yashwanthgowda1997/titanic-dataset-with-xgbclassifier", "kernel_id": "5895059"}, {"ref": "vitorgamalemos/ensemble-adaboost-xgb-rf-in-titanic-survived", "kernel_id": "5763524"}, {"ref": "lou2432499325/titantic-predict", "kernel_id": "5409655"}, {"ref": "saifulislamplabon/yet-another-simple-neural-net-solution", "kernel_id": "5523792"}, {"ref": "saifulislamplabon/titanic-simple-neural-network-with-eda", "kernel_id": "5074309"}, {"ref": "thededlier/titanic-fastai", "kernel_id": "5052043"}, {"ref": "abhishekhegde1998/titanic-xgbv3-0", "kernel_id": "5919212"}, {"ref": "abhishekhegde1998/titanic-xgbv2-0", "kernel_id": "5916419"}, {"ref": "kaggleuser173/analysis", "kernel_id": "5280969"}, {"ref": "marrrco5/titanic-disaster-survival-competition-problem", "kernel_id": "5856171"}, {"ref": "vijayvasu/kernel257a62f4bb", "kernel_id": "5843571"}, {"ref": "sayaniraut02/titanic-prediction-my-first-code-for-ml", "kernel_id": "5912182"}, {"ref": "vishal052/titanic-survival-analysis", "kernel_id": "5988751"}, {"ref": "allenbaby7/allen", "kernel_id": "5230208"}, {"ref": "felipesanchezgarzon/eda-feature-engineering-comparison-ml-accuracy", "kernel_id": "5191699"}, {"ref": "kristoph4822/titanic", "kernel_id": "5267184"}, {"ref": "rpatel80/kernel4d0874d4a9", "kernel_id": "5658700"}, {"ref": "tesshi/fork-of-exe-titanic", "kernel_id": "5295443"}, {"ref": "sanjeevy94/ml-model-for-titanic", "kernel_id": "5912890"}, {"ref": "esraa966/titanic-competition", "kernel_id": "5818364"}, {"ref": "mohamedkashkoush8/mooookashkoush", "kernel_id": "5366201"}, {"ref": "aritraghosh01/kernel3888f6e951", "kernel_id": "5559062"}, {"ref": "aritraghosh01/kernel1936723e72", "kernel_id": "5542931"}, {"ref": "bhushan1993/titanic-survival-prediction", "kernel_id": "5282416"}, {"ref": "soundarapandy/titanic-passengers-survive-prediction-beginner", "kernel_id": "5980367"}, {"ref": "koichimaeda/kernel3d24511411", "kernel_id": "5068818"}, {"ref": "nishiokande/titanic-keras", "kernel_id": "5624086"}, {"ref": "yendo0206/titanic-survival", "kernel_id": "5058727"}, {"ref": "kushalrm/titanic-data-analysis-and-ml", "kernel_id": "5657787"}, {"ref": "adridri/get-top-10-with-simple-models", "kernel_id": "5707809"}, {"ref": "singhatul/kernel6933f34135", "kernel_id": "5417753"}, {"ref": "kobyclose/kagglecon-submit-your-first-model-to-the-lb", "kernel_id": "5418017"}, {"ref": "purist1024/titanic-experimental-analysis-of-feature-effects", "kernel_id": "5639062"}, {"ref": "anasqureshi/kernel604c906806", "kernel_id": "5251304"}, {"ref": "anasqureshi/kernelbdb25dbded", "kernel_id": "5219386"}, {"ref": "shriya15/titanicprediction", "kernel_id": "5846587"}, {"ref": "easydatascience/neural-network-from-scratched-with-r-vietnamese", "kernel_id": "5329049"}, {"ref": "vivek0212/titanic-top-3-full-eda-model", "kernel_id": "5107498"}, {"ref": "yunnth/titanic-code-beginner", "kernel_id": "5262257"}, {"ref": "vivekrajdds10/titanic-survivor-prediction-logistic-regression", "kernel_id": "5316660"}, {"ref": "maf345/titanic-data-set-a-beginner-friendly-solution", "kernel_id": "5148989"}, {"ref": "amit031990k/titatic-dataset-ml-solution", "kernel_id": "5616087"}, {"ref": "fmijsters/kernel7ea52ad325", "kernel_id": "5381558"}, {"ref": "nshinji2/titanicdemo", "kernel_id": "5182670"}, {"ref": "kyouyap/titanickyouyap", "kernel_id": "5984937"}, {"ref": "nassabay/kernel842c0ad3a0", "kernel_id": "5213459"}, {"ref": "ravi549/titanic-solution", "kernel_id": "5790366"}, {"ref": "labile/titianic-a-solution-featuring-random-forest", "kernel_id": "5553207"}, {"ref": "ariana12/ariana-not-grande", "kernel_id": "5955376"}, {"ref": "mercheovejero/titanic-effort-let-s-get-serious-with-ml", "kernel_id": "5656238"}, {"ref": "sagarraythatha/first-ml-problem-independently-titanic", "kernel_id": "5685941"}, {"ref": "protactinium91/titanic-ml-first-attempt", "kernel_id": "5230405"}, {"ref": "moorthysiva/kernel-titanic", "kernel_id": "5676606"}, {"ref": "krishna5555/titanic-dataset", "kernel_id": "5229888"}, {"ref": "cuijamm/titanic-starter-code-score-0-82296", "kernel_id": "5943034"}, {"ref": "marcovasquez/machine-learning-on-board-titanic-17-algothim", "kernel_id": "5835781"}, {"ref": "akashdutta5/titanic-a", "kernel_id": "5513615"}, {"ref": "akshaymalviya/scikit-learn-ml-from-start-to-finish", "kernel_id": "5527491"}, {"ref": "divyaph01/titanic-ml-from-disaster", "kernel_id": "5740225"}, {"ref": "kajolg/titanic-machine-learning", "kernel_id": "5989749"}, {"ref": "jeudisauvage/titanic-ml-challenge", "kernel_id": "5881297"}, {"ref": "simonhui/titanic-survival-analysis", "kernel_id": "5741538"}, {"ref": "lapdacosta/estudo-de-caso-tic-sobreviventes-do-titanic", "kernel_id": "5316806"}, {"ref": "yanis66/titanic-playground", "kernel_id": "5303613"}, {"ref": "snehac47/titanic-survival-predictions", "kernel_id": "5418209"}, {"ref": "shripadbhat30/eda-for-titanic-survival-status", "kernel_id": "5919840"}, {"ref": "gurdit559/titanic-eda-steps-beginner", "kernel_id": "5758436"}, {"ref": "arpex1/titanic-saved-prediction-with-tensorflow", "kernel_id": "5312725"}, {"ref": "bbpatil/kernel5ed1854e5d", "kernel_id": "5983183"}, {"ref": "fluxqubit/titanic-survived-passengers-model", "kernel_id": "5674895"}, {"ref": "rk1982/survive-the-titanic", "kernel_id": "5380242"}, {"ref": "krishthw/titanic-survival-prediction", "kernel_id": "5623110"}, {"ref": "tehoja/titanic-prediction", "kernel_id": "5386735"}, {"ref": "abhinavcs13/multilayer-perceptron-titanic-keras", "kernel_id": "5456459"}, {"ref": "abhinavcs13/titanic-ml-model-with-svm-rbf-kernel", "kernel_id": "5450342"}, {"ref": "urbanside/titanic-for-20190928-jeonglab-seminar", "kernel_id": "5953987"}, {"ref": "junyeong00/titanic-surviver-with-cross-validation", "kernel_id": "5986954"}, {"ref": "vrcats/titanic", "kernel_id": "5450645"}, {"ref": "kishanteja/kernel19d54afe72", "kernel_id": "5415771"}, {"ref": "chaisameboy/kernel2c8740387b", "kernel_id": "5752929"}, {"ref": "kei1112/titanic-v1", "kernel_id": "5426983"}, {"ref": "prem786/titanic-survival-prediction-solutions", "kernel_id": "5922093"}, {"ref": "amansinghrajawat17/titanic-survival-prediction-83-accuracy", "kernel_id": "5943951"}, {"ref": "nicuwi/titanicpub", "kernel_id": "5637919"}, {"ref": "wzshubu/titanic", "kernel_id": "5479669"}, {"ref": "seifedd/titanic-competition", "kernel_id": "5479898"}, {"ref": "mlopez13/the-titanic-dataset-revisited", "kernel_id": "5772003"}, {"ref": "snehalkhaire/titatninc-my-first-solution-of-ml", "kernel_id": "5616088"}, {"ref": "hidekazuyube/kernel5d4cc6732a", "kernel_id": "5860734"}, {"ref": "subhayo/eda-python-practice", "kernel_id": "5516134"}, {"ref": "sowmiyaranganathan/kernel42ab71c477", "kernel_id": "5522169"}, {"ref": "ayushimishra2809/titanic-dataset-model", "kernel_id": "5563768"}, {"ref": "cjporteo/titanic-passenger-survivorship-top-4", "kernel_id": "5862672"}, {"ref": "ibrahimds/titanic-survivor-prediction", "kernel_id": "5556089"}, {"ref": "anoopshihoorkar/titanic-problem-beginner", "kernel_id": "5572767"}, {"ref": "tan330/kernel27bf527569", "kernel_id": "5880753"}, {"ref": "deepakdeepu8978/titanic-with-90-acc", "kernel_id": "5885429"}, {"ref": "adriende/kernel4e3a93e244", "kernel_id": "5630001"}, {"ref": "rupeshwakde/titanic-first-ml-solution", "kernel_id": "5616090"}, {"ref": "yilmaz1i/titanic", "kernel_id": "5895004"}, {"ref": "yuriii/kernel11abe93a4b", "kernel_id": "5630847"}, {"ref": "rahulsah06/kernel487d957814", "kernel_id": "5830833"}, {"ref": "starngu1/kernel57e01a103a", "kernel_id": "5774604"}, {"ref": "starngu1/kernel26f7257659", "kernel_id": "5939223"}, {"ref": "bronir/titanic-ml", "kernel_id": "5926564"}, {"ref": "jmda527/titanic-predict-by-randomforest-jmda", "kernel_id": "5689134"}, {"ref": "aimanj/titanic-draft-1-newbies", "kernel_id": "5865435"}, {"ref": "krymancer/titanic", "kernel_id": "5748846"}, {"ref": "vei123/kernel2a8c67f7d1", "kernel_id": "5919290"}, {"ref": "smith890/titanic-multiply-randomforest-and-logistic", "kernel_id": "5704309"}, {"ref": "glebasik/my-titanic", "kernel_id": "5756829"}, {"ref": "nagachaganti/titanic-model", "kernel_id": "5734436"}, {"ref": "onetwojab/titanic-kaggle-practice", "kernel_id": "5842732"}, {"ref": "idasss/kernel7cf75b991d", "kernel_id": "5905794"}, {"ref": "tejashrikelhe1/kernel3d93c1995d", "kernel_id": "5803510"}, {"ref": "malinik2020/titanic-trial-1", "kernel_id": "5819085"}, {"ref": "sibilkt/titanic-begining", "kernel_id": "5882187"}, {"ref": "mjpmorse/data-exploration-and-modeling-for-titanic", "kernel_id": "5923489"}, {"ref": "mathguy10/titanic-disaster-survival-prediction-gbm-approach", "kernel_id": "5854168"}, {"ref": "kamrulmoin/titanic-mine", "kernel_id": "5984077"}, {"ref": "moxiaozhen/kernel2852f056b3", "kernel_id": "5900880"}, {"ref": "xogus0654/my-first-data-analysis-for-titanic", "kernel_id": "5916619"}, {"ref": "hamiddd/titanic", "kernel_id": "5973132"}, {"ref": "haochengmei/hw-01-meihaocheng-tom", "kernel_id": "5924996"}, {"ref": "barrygujiguji/barry-s-titanic-prediction", "kernel_id": "5911405"}, {"ref": "yakimelon/kernel7c32b41829", "kernel_id": "5914223"}, {"ref": "umespace/kernel621e011e23", "kernel_id": "5996940"}, {"ref": "mamoru0729/titanic", "kernel_id": "5929677"}, {"ref": "chayaninchomchuen/eda-low-back-pain-dataset", "kernel_id": "5929882"}, {"ref": "xyf5969/hw01-yifei-xie", "kernel_id": "5953762"}, {"ref": "saril009/titanic-beginner-with-some-data-clensing", "kernel_id": "5947440"}, {"ref": "feraldolim/day-1-feraldo-lim", "kernel_id": "5958057"}, {"ref": "shafirahanif/hnfshrrr", "kernel_id": "5955482"}, {"ref": "alifahrc/eda-alifah-r-c", "kernel_id": "5955641"}, {"ref": "syarifahdianapermai/syarifahdiana", "kernel_id": "5955373"}, {"ref": "michaelee/cs-100-data-science", "kernel_id": "6075589"}, {"ref": "joydeep1/improve-titanic-prediction-01-python", "kernel_id": "6929089"}, {"ref": "oriol1/eda-to-prediction-dietanic", "kernel_id": "6791929"}, {"ref": "joelpl/eda-and-classification-models-titanic-dataset", "kernel_id": "6955481"}, {"ref": "pramodh/titanic-pipeline", "kernel_id": "6768441"}, {"ref": "mchahhou/tetouan", "kernel_id": "6440836"}, {"ref": "zongtseng/titanic-using-extratrees-0-82775", "kernel_id": "6135017"}, {"ref": "vanausloos/machine-learning-with-apache-spark-ocpp-oaih", "kernel_id": "6486913"}, {"ref": "sugarbird/my-first-kernel-for-titanic", "kernel_id": "6243023"}, {"ref": "parulpandey/five-ways-to-use-value-counts", "kernel_id": "6319655"}, {"ref": "parulpandey/intrepreting-machine-learning-models", "kernel_id": "6071423"}, {"ref": "marcobr/my-first-titanic", "kernel_id": "6433149"}, {"ref": "brobear1995/survival-using-ticket-number", "kernel_id": "6835720"}, {"ref": "apopovici/eda-with-seaborn-for-titanic-competition", "kernel_id": "6358703"}, {"ref": "dixhom/bayesian-optimization-with-optuna-stacking", "kernel_id": "6748622"}, {"ref": "octthe16th/introduction-to-ensembling-stacking-in-python", "kernel_id": "6020568"}, {"ref": "octthe16th/kernel7ccfccda65", "kernel_id": "6558209"}, {"ref": "kylescott/quick-and-dirty-random-forest", "kernel_id": "6686896"}, {"ref": "shenba/titanic-23nov2019", "kernel_id": "6734066"}, {"ref": "bayern/ml-practice-in-titanic", "kernel_id": "6477894"}, {"ref": "davids1992/class-2", "kernel_id": "6306261"}, {"ref": "fehiepsi/bayesian-imputation-for-age", "kernel_id": "6690153"}, {"ref": "rbizoi/pr-dire-les-survivants-du-titanic", "kernel_id": "6587175"}, {"ref": "jagannathrk/titanic-disaster-survival", "kernel_id": "6930969"}, {"ref": "susmithrb/kernel-mahindra", "kernel_id": "6147802"}, {"ref": "jesselin/titanic-testing", "kernel_id": "6367992"}, {"ref": "christianhritter/titanic-ch1", "kernel_id": "6883586"}, {"ref": "retyidoro/titanic-eda-using-r", "kernel_id": "6442443"}, {"ref": "surajiisc/titanic-suraj", "kernel_id": "6293329"}, {"ref": "naikparag/simple-eda-model", "kernel_id": "6072715"}, {"ref": "jetrobert/titanic-with-machine-learning-single-model", "kernel_id": "6163573"}, {"ref": "arthurvitoria/solving-titanic-disaster", "kernel_id": "6938497"}, {"ref": "cketant/titanic-survival-prediction-newbie-edition", "kernel_id": "6297206"}, {"ref": "zhaque/titanic-your-first-step-towards-ds", "kernel_id": "6884290"}, {"ref": "asarephilip8/kernel266bc9367d", "kernel_id": "6251981"}, {"ref": "aashishchaubey/getting-started-with-titanic", "kernel_id": "6709277"}, {"ref": "joaosauer/test1", "kernel_id": "6170197"}, {"ref": "gurpreet395/kernel36afe2c37f", "kernel_id": "6085435"}, {"ref": "archanaaa/feature-reduction-in-building-titanic", "kernel_id": "6506439"}, {"ref": "ashutoshds/lets-save-the-titanic", "kernel_id": "6722677"}, {"ref": "alphawolf777/predictive-analytics-in-r", "kernel_id": "6329502"}, {"ref": "chmaxx/train-12-classifiers-with-one-line-of-code", "kernel_id": "6077992"}, {"ref": "neelneelpurk/titanic-ml-2019", "kernel_id": "6700082"}, {"ref": "neelneelpurk/titanic-data-analysis-2019", "kernel_id": "6614947"}, {"ref": "tap0991/simple-random-forrest-classifier", "kernel_id": "6639690"}, {"ref": "adyoren/udacity-titanic-data", "kernel_id": "6200300"}, {"ref": "xiaohuangji/titanic-feature-engineering-visualization-model", "kernel_id": "6347155"}, {"ref": "cezaryszulc/titanic-data-overview", "kernel_id": "6477404"}, {"ref": "timoboz/kernel4f64958c12", "kernel_id": "6996978"}, {"ref": "ironkey/test-1", "kernel_id": "6012336"}, {"ref": "sjodcre/quick-way-to-determine-distribution-similarity", "kernel_id": "6117043"}, {"ref": "sjodcre/titanic-oma", "kernel_id": "6008672"}, {"ref": "sjodcre/categorical-encoding-ordinal-vs-one-hot-vs-others", "kernel_id": "6756412"}, {"ref": "georgehanna3/titanickernel", "kernel_id": "6617607"}, {"ref": "lhavanya/titanic-analysis", "kernel_id": "6657457"}, {"ref": "rbehd6129/lev-1-titanic-2", "kernel_id": "6245092"}, {"ref": "rbehd6129/lev-1-titanic-1", "kernel_id": "6227864"}, {"ref": "alex19427/eda-titanic-dataset", "kernel_id": "6829114"}, {"ref": "ram510/titanic-survival-prediction", "kernel_id": "6691365"}, {"ref": "vladimirn/titanic-crossvalidation-rf", "kernel_id": "6374360"}, {"ref": "jsadhi05/simple-random-forest", "kernel_id": "6684672"}, {"ref": "jsadhi05/simple-logistic-regression", "kernel_id": "6456226"}, {"ref": "nyk510/vivid-meets-titanic", "kernel_id": "6949316"}, {"ref": "hnichs/getting-started-with-titanic", "kernel_id": "6959650"}, {"ref": "singhsterabhi/data-visualization-titanic-survival", "kernel_id": "6570320"}, {"ref": "niteshhalai/titanic-random-forest-classifier", "kernel_id": "6752778"}, {"ref": "niteshhalai/titanic-logistic-regression", "kernel_id": "6752597"}, {"ref": "niteshhalai/titanic-data-visualisation", "kernel_id": "6109666"}, {"ref": "niteshhalai/titanic-predicting-the-missing-ages", "kernel_id": "6194225"}, {"ref": "niteshhalai/titanic-linear-regression-original-version", "kernel_id": "6163709"}, {"ref": "niteshhalai/titanic-linear-regression-v2", "kernel_id": "6167059"}, {"ref": "saranyashalya/e2e-ml-classification-titanic", "kernel_id": "6563354"}, {"ref": "danilehanchen/programming-for-analytics", "kernel_id": "6367440"}, {"ref": "oliveia/titanic-with-ann-keras", "kernel_id": "6730375"}, {"ref": "aymericl/kernel-titanic-ann", "kernel_id": "6167968"}, {"ref": "wakarhaque/titanic-survivor-prediction", "kernel_id": "6744861"}, {"ref": "jirifilip/titanic-competition", "kernel_id": "6324243"}, {"ref": "wakamezake/lightgbmtuner-for-titanic", "kernel_id": "6556017"}, {"ref": "wakamezake/titanic-preprocessing-only-kernel", "kernel_id": "6082106"}, {"ref": "boydbigdatarpg/eda-15questions-answers-using-pandas", "kernel_id": "6648043"}, {"ref": "eduardosm/titanic-predict-values-with-naive-bayes", "kernel_id": "6650048"}, {"ref": "woojinjoe/eda-titanic", "kernel_id": "6161882"}, {"ref": "datalana/titanic-working-with-data-dictionary", "kernel_id": "6492454"}, {"ref": "ihelon/xgboost-stratifiedkfold-examples-titanic", "kernel_id": "6386502"}, {"ref": "saraaaa/myfirst-titanic", "kernel_id": "6818947"}, {"ref": "mobasshir/titanic-get-started-notebook", "kernel_id": "6013807"}, {"ref": "uyangas/titanic-tree-models-multi-layer-perceptron", "kernel_id": "6932734"}, {"ref": "alyonamoryakova/batmanova-titanic", "kernel_id": "6608829"}, {"ref": "godwings/titanic-test", "kernel_id": "6948101"}, {"ref": "mrugeles/titanic-competition", "kernel_id": "6926975"}, {"ref": "monset/titanicpredictions", "kernel_id": "6658286"}, {"ref": "zuari1993/titanic-dataset-using-logistic-regression", "kernel_id": "6630007"}, {"ref": "shahmeeralamtab/titanic-decision-tree-vs-neural-network", "kernel_id": "6177646"}, {"ref": "shahmeeralamtab/titanic-dnn", "kernel_id": "6361952"}, {"ref": "ichabuddaeta/titanic-me", "kernel_id": "6703885"}, {"ref": "vishwanath19/titanic-machine-learning-with-eda", "kernel_id": "6757998"}, {"ref": "mistergomes/titanic-competition", "kernel_id": "6548224"}, {"ref": "adrianofonseca1000/randomforestclf-f1-score-0-50-data-viz", "kernel_id": "6450476"}, {"ref": "torabshaikh/titanic", "kernel_id": "6195214"}, {"ref": "alfaabhi/titanic-basic-ann-accuracy-80", "kernel_id": "6287773"}, {"ref": "hiratasanches/titanic-introductory-solution", "kernel_id": "6585828"}, {"ref": "shubham1992/pytanic", "kernel_id": "6950010"}, {"ref": "gabrielsig/titanic-predictions-with-randomforestclassifier", "kernel_id": "6521205"}, {"ref": "woaiyong710/titanic-predict", "kernel_id": "6731397"}, {"ref": "bhaskarjyotitamuly/titanic-passenger-prediction-using-svm", "kernel_id": "6374565"}, {"ref": "ruteee/pretimedicting-titanic", "kernel_id": "6340047"}, {"ref": "i13472889991/xgboost-ndl", "kernel_id": "6494217"}, {"ref": "souvikrishi/data-visualization-titanic-survival", "kernel_id": "6570365"}, {"ref": "faisalkn/kernel684fe18165", "kernel_id": "6471254"}, {"ref": "ranjith1409/kernel6a0867d13c", "kernel_id": "6475800"}, {"ref": "prajwalnkb/logistic-regression-applied", "kernel_id": "6097563"}, {"ref": "codesail/titanic-explore-features-with-explanation", "kernel_id": "6232601"}, {"ref": "akiraishii/titanic-3rd-submission", "kernel_id": "6135738"}, {"ref": "ailobster/python-titanic-predictions-top-3", "kernel_id": "6642789"}, {"ref": "leowanty/tuto-2-numpy-et-pandas", "kernel_id": "6387116"}, {"ref": "g14140007/titanic-survival-prediction-newbie-edition", "kernel_id": "6340509"}, {"ref": "vzambotti/titanic-competition", "kernel_id": "6095463"}, {"ref": "mehranmirkhan/titanic-notebook", "kernel_id": "6920466"}, {"ref": "chekoduadarsh/kernel150da3b048", "kernel_id": "6811987"}, {"ref": "strinkaj/intro-machine-learning-artisansasylum", "kernel_id": "6661529"}, {"ref": "yamanity/titanic-using-xgb-tuned-by-optuna", "kernel_id": "6998754"}, {"ref": "acleon/titanic-leaning", "kernel_id": "6653522"}, {"ref": "slatawa/titanic-survival-introduction-to-ml-ensemble-model", "kernel_id": "6709059"}, {"ref": "marciojunior159/my-heart-will-go-on", "kernel_id": "6523809"}, {"ref": "hverified/titanic-disaster-analysis-and-prediction", "kernel_id": "6723741"}, {"ref": "ftnext/kaggle-spzcolab-201910", "kernel_id": "6308714"}, {"ref": "maverix/prediction-with-randomforrest-and-gridsearchcv", "kernel_id": "6850651"}, {"ref": "aloisstar/kernel4f36bf4e21", "kernel_id": "6828562"}, {"ref": "tomohirofukui/radius-neighbors-classifier", "kernel_id": "6663439"}, {"ref": "vikasgoel1/this-won-t-save-titanic-but-help-in-titanic-2-0", "kernel_id": "6794990"}, {"ref": "texasroh/titanic-eda-feature-engineering-model-building", "kernel_id": "6859687"}, {"ref": "sehan10/titanic-dataset", "kernel_id": "6708695"}, {"ref": "vinayakkarande/titanic-beginner-guide", "kernel_id": "6440934"}, {"ref": "leelamani/titanic-with-catboost", "kernel_id": "6712537"}, {"ref": "shivitg/titanic", "kernel_id": "6972115"}, {"ref": "kasimchristianloan/ckl-simple-end-to-end-ml-workflow-top-5-score", "kernel_id": "6460637"}, {"ref": "kedimgirish/kernel69e5396b47", "kernel_id": "6907115"}, {"ref": "sieder97/different-classif-methods-using-r", "kernel_id": "6697370"}, {"ref": "micberry/titanic", "kernel_id": "6492667"}, {"ref": "gehadrabab138/this-solving-just-for-training", "kernel_id": "6252922"}, {"ref": "hardboil/titanic", "kernel_id": "6215918"}, {"ref": "vbmokin/merging-fe-prediction-xgb-lgb-logr-linr", "kernel_id": "6821394"}, {"ref": "vbmokin/autoselection-from-20-classifier-models-l-curves", "kernel_id": "6678936"}, {"ref": "vbmokin/titanic-featuretools-automatic-fe-fs", "kernel_id": "6404514"}, {"ref": "vbmokin/titanic-autofeat-automatic-fe", "kernel_id": "6397499"}, {"ref": "vbmokin/titanic-top-score-one-line-of-the-prediction", "kernel_id": "6004276"}, {"ref": "vbmokin/titanic-top-3-cluster-analysis", "kernel_id": "6168266"}, {"ref": "vbmokin/titanic-0-83253-comparison-20-popular-models", "kernel_id": "6195253"}, {"ref": "vbmokin/automatic-eda-with-pandas-profiling", "kernel_id": "6188326"}, {"ref": "dundappakamate/kernel16b7d6adcc", "kernel_id": "6593492"}, {"ref": "ak1352/kernel1b45cb513f", "kernel_id": "6309037"}, {"ref": "susmitpy03/many-things", "kernel_id": "6573326"}, {"ref": "sagar437/ocean-titanic", "kernel_id": "6171486"}, {"ref": "rdaneelolivaw/titanic", "kernel_id": "6097646"}, {"ref": "masatosampei/titanic", "kernel_id": "6958838"}, {"ref": "demon041/survival-prediction", "kernel_id": "6785921"}, {"ref": "arunamenon/kernel6de2c0f064", "kernel_id": "6948902"}, {"ref": "kaitmlee/modifying-the-data-set-titanic", "kernel_id": "6768002"}, {"ref": "prashant111/a-reference-guide-to-feature-engineering-methods", "kernel_id": "6137853"}, {"ref": "mohammadhatoum/supervised-learning-classification", "kernel_id": "6620567"}, {"ref": "john77eipe/evaluation-for-classification-models", "kernel_id": "6546295"}, {"ref": "john77eipe/data-science-solution-for-titanic-dataset", "kernel_id": "6415867"}, {"ref": "john77eipe/logistic-regression-w-o-sklearn", "kernel_id": "6442622"}, {"ref": "girmdshinsei/titanic-simple-sample-japanese", "kernel_id": "6703609"}, {"ref": "guidosalimbeni/titanic-classification", "kernel_id": "6218988"}, {"ref": "ngrq94/titanic-machine-learning-from-disaster", "kernel_id": "6009151"}, {"ref": "vignesh9147/titanic", "kernel_id": "6249101"}, {"ref": "darpan25bajaj/titanic-dataset", "kernel_id": "6255291"}, {"ref": "jianxihuang/titanic-algorithms-comparison", "kernel_id": "6997301"}, {"ref": "marcelomrtvi/mrtvi-titanic-introduction", "kernel_id": "6597375"}, {"ref": "ishanvardhan/who-survived-titanic-exploration-and-prediction", "kernel_id": "6942431"}, {"ref": "nimisha21/titanic-solution-with-explanation", "kernel_id": "6573496"}, {"ref": "suhsw1210/titanic-stackmlp", "kernel_id": "6732358"}, {"ref": "ruruamour/bayesian-optimization-ensemble-titanic", "kernel_id": "6591043"}, {"ref": "manas0991/titanic-multiple-sklearn-classifiers", "kernel_id": "6053002"}, {"ref": "myselfsanjit/titanic-competition-solution", "kernel_id": "6678330"}, {"ref": "subhanands/titanic-data", "kernel_id": "6219663"}, {"ref": "concise1451/kernel283b105723", "kernel_id": "6811925"}, {"ref": "paragraph/top-11-titanic-intermediate-imputation", "kernel_id": "6056609"}, {"ref": "databeginner/titanic-submission-new-approach", "kernel_id": "6532305"}, {"ref": "diab91/titanic-prediction", "kernel_id": "6477749"}, {"ref": "ishturmak/getting-started-with-titanic", "kernel_id": "6167541"}, {"ref": "jovianjaison/titanic-submission-nn", "kernel_id": "6655872"}, {"ref": "kunduruanil/kunduru", "kernel_id": "6562162"}, {"ref": "claudiohfg/titanic-ensemble-with-sklearn-0-81339", "kernel_id": "6028026"}, {"ref": "zhuyongsheng/titanic-lightgbm-with-bayesian-opt", "kernel_id": "6028184"}, {"ref": "zhuyongsheng/titanic-lightgbm", "kernel_id": "6015347"}, {"ref": "zhuyongsheng/my-titanic-ensemble-models-and-vote", "kernel_id": "6002790"}, {"ref": "shunichiuehara/titanic-keras-mixup", "kernel_id": "6498036"}, {"ref": "nicodesh/xgboost-with-5-features-0-82296-step-by-step", "kernel_id": "6527636"}, {"ref": "ziahdaily/titanic-dataset-lab-6", "kernel_id": "6926481"}, {"ref": "antoniorivero/full-on-d-s-approach-to-titanic-votingclassifier", "kernel_id": "6589006"}, {"ref": "born2learn/complete-beginner-your-first-titanic-submission", "kernel_id": "6570425"}, {"ref": "ahmedmkhalifa/scikit-learn-ml-from-start-to-finish", "kernel_id": "6335223"}, {"ref": "rpallala/titanic-survival", "kernel_id": "6816015"}, {"ref": "jcardenzana/titanic-scikit-learn-random-forest", "kernel_id": "6950793"}, {"ref": "annakuvakina/titanic", "kernel_id": "6114021"}, {"ref": "ujwalitha/titanic-dataset-eda-classification", "kernel_id": "6829528"}, {"ref": "rupeshhkumaar/titanic", "kernel_id": "6413188"}, {"ref": "milindaldonkar/titanic-survival-gradient-boosting-classifier", "kernel_id": "6695942"}, {"ref": "milindaldonkar/titanic-survival-gradient-01", "kernel_id": "6468294"}, {"ref": "rgitari10/titanic-kernel-in-r-top-5-feature-engineering", "kernel_id": "6422256"}, {"ref": "vikashnitk/kernel2bf549a222", "kernel_id": "6713492"}, {"ref": "kadappumoni/wtmkaggleworkshop", "kernel_id": "6943367"}, {"ref": "agastya124/titanic-ml", "kernel_id": "6205634"}, {"ref": "kento777/survival-rate-plot", "kernel_id": "6650992"}, {"ref": "nabhanpv/dm-assignment", "kernel_id": "6202319"}, {"ref": "choehyeon/kernel6b4ad6d757", "kernel_id": "6813263"}, {"ref": "shrinidhin/titanic-kernel5869dc2870", "kernel_id": "6708236"}, {"ref": "semice/titanic-tutorial-by-youhanlee", "kernel_id": "6499923"}, {"ref": "mohancm/data-visualization-titanic-survival", "kernel_id": "6570326"}, {"ref": "yamash723/titanic-notebook", "kernel_id": "6394416"}, {"ref": "preetam11111/titaniceda", "kernel_id": "6476029"}, {"ref": "maulhamid/machine-learning-titanic-predicting-disaster", "kernel_id": "6148338"}, {"ref": "gwangheekim/titanic-practice", "kernel_id": "6977238"}, {"ref": "juliuszziomek/titanic-neuron-network-on-numpy-only-no-keras", "kernel_id": "6935137"}, {"ref": "bibs2091/beginner-approach-to-the-titanic-problem", "kernel_id": "6559735"}, {"ref": "firatboz/titanic-h-w", "kernel_id": "6081481"}, {"ref": "shrinitha1/kernel4d98b15478", "kernel_id": "6813217"}, {"ref": "ppainuly/predicting-survivors-with-logistic-regression", "kernel_id": "6829664"}, {"ref": "arunjithm/titanic-mlpclassifer-and-kerasclassifier", "kernel_id": "6144784"}, {"ref": "c7934597/getting-started-with-titanic", "kernel_id": "6523945"}, {"ref": "angana1/kernel117dd3c016", "kernel_id": "6453861"}, {"ref": "frtgnn/visualization-techniques-using-yellowbricks", "kernel_id": "6679224"}, {"ref": "salmanbaqri/baseline", "kernel_id": "6334057"}, {"ref": "suryasivamoorthi/titanic", "kernel_id": "6023601"}, {"ref": "ankit275/kernel76cd1e651e", "kernel_id": "6503857"}, {"ref": "aaysbt/titanic-datasets-eda-fe-dc-model-predictions", "kernel_id": "6419394"}, {"ref": "ayushsaklani/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6047461"}, {"ref": "mhayakawa/titanic-survivors", "kernel_id": "6408070"}, {"ref": "boycatbay/titanic", "kernel_id": "6538496"}, {"ref": "talhatanveer/cs-100-data-science", "kernel_id": "6148952"}, {"ref": "peterdu98/titanic-grouping-data-with-visualizatinon", "kernel_id": "6529114"}, {"ref": "trevorflovian/frank-titanic", "kernel_id": "6716002"}, {"ref": "yuu113/model-interpretation-shap-lime-with-titanic-data", "kernel_id": "6065347"}, {"ref": "kristogj/titanic-logistic-regression", "kernel_id": "6486816"}, {"ref": "oseongchoi/teststatistics-simpleexample", "kernel_id": "6602157"}, {"ref": "michaelhayden/xgboosttitanic92", "kernel_id": "6854777"}, {"ref": "nautiyalamit/titanic", "kernel_id": "6954663"}, {"ref": "lokeshpatidar150/kernel287457b658", "kernel_id": "6499313"}, {"ref": "frashy/titanic-machine-learning-from-disaster", "kernel_id": "6680229"}, {"ref": "tadasj/titanic-data-science", "kernel_id": "6446181"}, {"ref": "riyazpasha9/titanic-eda-model", "kernel_id": "6777007"}, {"ref": "miorgash/data-analysis-tutorial-by-titanic-japanese", "kernel_id": "6457672"}, {"ref": "mahajanhm4/titanic-random-forest", "kernel_id": "6698183"}, {"ref": "bhakti3/titanic-machine-learning-from-disaster-solved", "kernel_id": "6048378"}, {"ref": "goalkeeperfyc/titanic-svm", "kernel_id": "6686413"}, {"ref": "notnav/visualizing", "kernel_id": "6909484"}, {"ref": "notnav/svc-and-other-classifiers", "kernel_id": "6892751"}, {"ref": "t2000g/tutorial-of-kaggle-ver3-ch5", "kernel_id": "6393198"}, {"ref": "t2000g/tutorial-of-kaggle-ver3-ch4", "kernel_id": "6123420"}, {"ref": "willmichels/wm-kernel", "kernel_id": "6127572"}, {"ref": "imammuhajir/pertemuan-2", "kernel_id": "6554586"}, {"ref": "yasirhoque/titanic-survival", "kernel_id": "6192424"}, {"ref": "dolair/titanic", "kernel_id": "6577361"}, {"ref": "raahoolkumeriya/titanic-2-0", "kernel_id": "6800989"}, {"ref": "dyoko37/simple-eda-and-xgboost", "kernel_id": "6692865"}, {"ref": "rukiaski/basic-titanic-with-sklearn", "kernel_id": "6214114"}, {"ref": "jacky135/titanic1-machine-learning-from-disaster", "kernel_id": "6646612"}, {"ref": "jacky135/titanic2-ml-from-disaster", "kernel_id": "6669177"}, {"ref": "rajnirmal028/predict-survival-on-the-titanic", "kernel_id": "6890616"}, {"ref": "wattsy2020/titanic-classification-using-stacking-and-xgboost", "kernel_id": "6923605"}, {"ref": "linmari88/getting-started-with-titanic", "kernel_id": "6111326"}, {"ref": "kusumashree/kernel31e6d17e2f", "kernel_id": "6718955"}, {"ref": "walterbraga/the-very-first-beginner-journey", "kernel_id": "6074360"}, {"ref": "jaydeep991/kernel519087f552", "kernel_id": "6198336"}, {"ref": "tvadakumchery1/cs-100-data-science", "kernel_id": "6140303"}, {"ref": "kaleedfox/titanic-survival-prediction-using-python", "kernel_id": "6488916"}, {"ref": "adldotori/titanic-copy-eda-to-prediction-dietanic", "kernel_id": "6118299"}, {"ref": "wangtong16/titanic-beginner", "kernel_id": "6087516"}, {"ref": "rakesh835/titanic-survival-prediction", "kernel_id": "6101744"}, {"ref": "vladislav3200/kernel7ebfae78be", "kernel_id": "6628101"}, {"ref": "alexniubi/very-simple-feature-processing-0-79425", "kernel_id": "6346527"}, {"ref": "rajeshk1973/kernel5143a183c0", "kernel_id": "6301289"}, {"ref": "asharn/prediction-of-titanic-survivors", "kernel_id": "6066763"}, {"ref": "shashankholla3/solving-titanic-conundrum", "kernel_id": "6004298"}, {"ref": "helderxpp/titanic-v2-improving", "kernel_id": "6808248"}, {"ref": "aviteria/getting-started-with-titanic", "kernel_id": "6024037"}, {"ref": "vigneshkemp/titanic-survivor-analysis", "kernel_id": "6485570"}, {"ref": "tx081z/titanic-sklearn", "kernel_id": "6320579"}, {"ref": "manimannu/titanic-for-beginners", "kernel_id": "6244686"}, {"ref": "gauravsb/1-titanic-machine-learning-from-disaster", "kernel_id": "6903309"}, {"ref": "sakuraisho/titanic-tpot", "kernel_id": "6648028"}, {"ref": "hanjoonchoe/titanic-genetic-programming-beginner", "kernel_id": "6810047"}, {"ref": "hanjoonchoe/this-is-my-very-first-kernel-titanic", "kernel_id": "6023030"}, {"ref": "ninethbacovic/nineth-titanic", "kernel_id": "6669193"}, {"ref": "ninethbacovic/titanic-nineth", "kernel_id": "6639298"}, {"ref": "salomaoalves/titanic", "kernel_id": "6412527"}, {"ref": "kawakeee/titanic-gradientboostingclass", "kernel_id": "6502674"}, {"ref": "kawakeee/titanic-lightgbm", "kernel_id": "6502929"}, {"ref": "kawakeee/titanic-xgboost-xgbclassifier", "kernel_id": "6502339"}, {"ref": "kawakeee/titanic-randomforestclassifier", "kernel_id": "6388941"}, {"ref": "codehax41/titanic-machine-learning-from-disaster", "kernel_id": "6775886"}, {"ref": "shekhark22/titanic-data-science-solution", "kernel_id": "6274183"}, {"ref": "matheuspessoa/kernel4758aa5b61", "kernel_id": "6524339"}, {"ref": "chaerink/titanic-tragedy-lookback", "kernel_id": "6316365"}, {"ref": "ayoubabozer/easy-way-to-find-missing-data", "kernel_id": "6597637"}, {"ref": "ayoubabozer/titanic-with-pyspark", "kernel_id": "6708339"}, {"ref": "ayoubabozer/cutencoder", "kernel_id": "6462570"}, {"ref": "ayoubabozer/titanic-survival-prediction", "kernel_id": "6416648"}, {"ref": "wwdbsh/titanic-solution-with-15-models", "kernel_id": "6478830"}, {"ref": "johnwill225/top-5-exploratory-data-analysis", "kernel_id": "6675848"}, {"ref": "yasserabdelsattar/titanic-predictions-using-g-boosting", "kernel_id": "6462102"}, {"ref": "goldsack/titanic-solution-using-neuralnet", "kernel_id": "6626202"}, {"ref": "amitjslearn/simple-tutorial-how-to-handle-missing-data", "kernel_id": "6200534"}, {"ref": "vtaquet/titanic-classification-with-bagging-and-boosting", "kernel_id": "6680356"}, {"ref": "rozendhyan/kernel52bd63a274", "kernel_id": "6942468"}, {"ref": "assulthoni/titanic", "kernel_id": "6011028"}, {"ref": "bi4ok23/kernel4678e2f578", "kernel_id": "6229634"}, {"ref": "mdilshad/titanic-survival-prediction-using-xgboost-83-28", "kernel_id": "6479354"}, {"ref": "aneeshtm/titanic-survival-prediction", "kernel_id": "6297159"}, {"ref": "tmaruyama/getting-started-with-titanic", "kernel_id": "6487244"}, {"ref": "janichat/myfirstkaggle", "kernel_id": "6491821"}, {"ref": "nicoisaverage/ml-with-the-titanic", "kernel_id": "6217902"}, {"ref": "keleryohan/titanic-challenge", "kernel_id": "6629783"}, {"ref": "prashant268/titanic-gridsearchcv", "kernel_id": "6370792"}, {"ref": "michiles/trabalho-software-para-ciencia-de-dados-ii", "kernel_id": "6297502"}, {"ref": "aythriel/titanic-genetic-svm", "kernel_id": "6571464"}, {"ref": "airwhane/titanic-project", "kernel_id": "6124669"}, {"ref": "shreyaskale/1-titanic", "kernel_id": "6218808"}, {"ref": "robbruton/voting-0-80382", "kernel_id": "6910237"}, {"ref": "christofel04/simple-tutorial-how-to-handle-missing-data", "kernel_id": "6046443"}, {"ref": "irochka/titanic-gp-model-training-with-alone", "kernel_id": "6687349"}, {"ref": "gaokun227/an-introductory-ensemble-solution", "kernel_id": "6854708"}, {"ref": "tannerdolby/titaniccompetition", "kernel_id": "6131867"}, {"ref": "billynguyen/interactive-dashboards-in-r", "kernel_id": "6032300"}, {"ref": "billynguyen/titanic-compare-rf-rpart-gbm", "kernel_id": "6051780"}, {"ref": "billynguyen/getting-start-with-python", "kernel_id": "6523667"}, {"ref": "venkatesan89/kernel1c7757ff70", "kernel_id": "6120916"}, {"ref": "pooja598/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160485"}, {"ref": "shwethad/naive-bayes-probabilistic-ml-titanic-surv-3641ee", "kernel_id": "6160599"}, {"ref": "tashisam07/kernelbf479c12f0", "kernel_id": "6497498"}, {"ref": "avelinocaio/top-5-voting-classifier-in-python", "kernel_id": "6786557"}, {"ref": "mihirs16/titanic-predictions-svc", "kernel_id": "6557852"}, {"ref": "harshith20/getting-started-with-titanic", "kernel_id": "6279351"}, {"ref": "dp1005/08decwtm-nlpbasic", "kernel_id": "6943361"}, {"ref": "wladimirgramacho/dia-de-codar-no-titanic-2", "kernel_id": "6927065"}, {"ref": "wladimirgramacho/dia-de-codar-no-titanic-1", "kernel_id": "6932358"}, {"ref": "zhangwx95/gridsearchcv-pipeline-use-svm-lr-dt-knn", "kernel_id": "6424293"}, {"ref": "morion/lightgbmclassification", "kernel_id": "6570466"}, {"ref": "saket2307/preparing-data-for-titanic", "kernel_id": "6927110"}, {"ref": "rodolfoluna/titanic-1st-notebook", "kernel_id": "6421715"}, {"ref": "waragilang/getting-started-with-titanic", "kernel_id": "6330286"}, {"ref": "garaujo10/titanic-ml", "kernel_id": "6018609"}, {"ref": "akshatjain026/kernel68d649f4d1", "kernel_id": "6181472"}, {"ref": "alanlijy/hello-world-trail-on-titanic", "kernel_id": "6289843"}, {"ref": "politeprogrammer/top-7-solution-to-titanic", "kernel_id": "6065115"}, {"ref": "kawakotaro/ensenble-test", "kernel_id": "6702772"}, {"ref": "kawakotaro/taitanic-lightgbm", "kernel_id": "6835203"}, {"ref": "diegosasa/titanic", "kernel_id": "6109171"}, {"ref": "divyanshsaini/kernel59880637df", "kernel_id": "6515289"}, {"ref": "nileshnayyan/titanic-finally-it-started", "kernel_id": "6240955"}, {"ref": "rupesh0008/kernel3ad20d784e", "kernel_id": "6303728"}, {"ref": "sjessies/ml-titanic-1-0", "kernel_id": "6422716"}, {"ref": "sjessies/ml-titanic-2-0-up-the-score", "kernel_id": "6459234"}, {"ref": "aoliveiraf/titanic", "kernel_id": "6523165"}, {"ref": "ccasile/titanic-submission", "kernel_id": "6928086"}, {"ref": "avagyan96/getting-started-with-titanic", "kernel_id": "6699782"}, {"ref": "manohar676/10-steps-to-become-a-data-scientist", "kernel_id": "6340775"}, {"ref": "manohar676/a-complete-giude-of-ml-workflow-with-python", "kernel_id": "6208909"}, {"ref": "manohar676/selling-life-insurance-to-titanic-passengers", "kernel_id": "6025720"}, {"ref": "manohar676/extending-titanic-dataset-using-wikipedia", "kernel_id": "6028244"}, {"ref": "tufail999/titanic-survival-prediction", "kernel_id": "6132093"}, {"ref": "strictlyes/titanic", "kernel_id": "6417643"}, {"ref": "sajaldeb25/taitanic-analysis-eda-model-submit-begainer", "kernel_id": "6434306"}, {"ref": "devarti/predicting-titanic-survival", "kernel_id": "6232012"}, {"ref": "anuragnegi/feature-engineering-outliers-handling-ensembling", "kernel_id": "6041689"}, {"ref": "sharonb18/titanic-data-analysis", "kernel_id": "6382908"}, {"ref": "khurogeo/titanic-kaggel-gr", "kernel_id": "6861423"}, {"ref": "marcusplusplus/lebateaufaitglouglouglou", "kernel_id": "6852412"}, {"ref": "madhow/warren-madhow-titanic-fr", "kernel_id": "6946589"}, {"ref": "fl000000/kernel-titanic-clean", "kernel_id": "6865530"}, {"ref": "arnaudadon/adon-arnaud-titanic", "kernel_id": "6865534"}, {"ref": "paullng/lange-kaggle-titanic", "kernel_id": "6865550"}, {"ref": "fatimahgons/fatimah-gons-saib-titanic", "kernel_id": "6865562"}, {"ref": "vibita/titanic-model-vibita-ipssi", "kernel_id": "6905608"}, {"ref": "mansourx10/titanic-mansour", "kernel_id": "6865525"}, {"ref": "vincsous/titanic-dnn", "kernel_id": "6569295"}, {"ref": "anaidashaginian/starting-data-analysis-with-titanic", "kernel_id": "6566487"}, {"ref": "marcoasp/fork-of-proyecto-1-ce-original", "kernel_id": "6169283"}, {"ref": "faustvi00/tetouan-1b3dd1", "kernel_id": "6978892"}, {"ref": "bekonyn/titanic-survival-attempt-1", "kernel_id": "6609378"}, {"ref": "sarapena/getting-started-with-titanic", "kernel_id": "6762123"}, {"ref": "singhrk/fastai-for-titanic-dataset", "kernel_id": "6613886"}, {"ref": "agelmi/titanic", "kernel_id": "6682836"}, {"ref": "drcapa/titanic-eda-feature-enginneering-decisiontree", "kernel_id": "6515315"}, {"ref": "arkranjan98/titanic-survival-prediction", "kernel_id": "6759953"}, {"ref": "ruthvikbr/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160486"}, {"ref": "sanshengshi/titanic-data-science-solutions", "kernel_id": "6499465"}, {"ref": "sanshengshi/introduction-to-ensembling-stacking-in-python", "kernel_id": "6488543"}, {"ref": "manuelojeda13/ojeda-manuel-p1-titanic-competition", "kernel_id": "6310618"}, {"ref": "abhikbr/kernel7aa33f35dc", "kernel_id": "6048098"}, {"ref": "abhikbr/kernel6eed4bb424", "kernel_id": "6977365"}, {"ref": "nikunjbhalla/titanic-data", "kernel_id": "6948472"}, {"ref": "yolaaaaa/eda-random-forest", "kernel_id": "6613847"}, {"ref": "yoni2k/initial-titanic-logistic-regression", "kernel_id": "6625764"}, {"ref": "naokikomiya/script-py", "kernel_id": "6297803"}, {"ref": "dhruv98/naive-bayes-probabilistic-ml-forked-edit", "kernel_id": "6160590"}, {"ref": "navesharma9/titanic-survivor-prediction", "kernel_id": "6169816"}, {"ref": "harshjoshi16/first-competition", "kernel_id": "6403071"}, {"ref": "fdq09eca/kaggle-titanic-prediction", "kernel_id": "6646321"}, {"ref": "deepanshankar/classification-on-survival-from-titanic-dataset", "kernel_id": "6598772"}, {"ref": "kmdmustaq/titanic-data-analysis-and-model-building", "kernel_id": "6023525"}, {"ref": "ilgu19/titanic-my-first-kaggle", "kernel_id": "6368600"}, {"ref": "lorddexter/titanicpred1", "kernel_id": "6902184"}, {"ref": "lalitchandora/first-machine-learning-problem", "kernel_id": "6847321"}, {"ref": "bossdk/getting-started-with-titanic-top-17-rank", "kernel_id": "6662825"}, {"ref": "zhongzheng0522/cs-100-data-science", "kernel_id": "6154863"}, {"ref": "faressayah/data-science-best-practices-using-pandas-titanic", "kernel_id": "6115689"}, {"ref": "faressayah/data-science-best-practices-with-pandas-part-1", "kernel_id": "6064038"}, {"ref": "faressayah/support-vector-machine-pca-tutorial-for-beginner", "kernel_id": "6343315"}, {"ref": "jmcarneirow/titanic-example", "kernel_id": "6304696"}, {"ref": "pagenotfound/mean-and-median-imputation", "kernel_id": "6445184"}, {"ref": "sagara9595/ml-from-titanic-disaster-logistic-reg", "kernel_id": "6613333"}, {"ref": "mmmarchetti/titanic-machine-learning-model", "kernel_id": "6471795"}, {"ref": "jinxincao/kernel4413cb971f", "kernel_id": "6072831"}, {"ref": "arpit2601/titanic-dataset", "kernel_id": "6197815"}, {"ref": "patternagainstuser/titanic-v001", "kernel_id": "6739746"}, {"ref": "medaminbf/kernel2a4ee8e256", "kernel_id": "6442055"}, {"ref": "wagnernoise/titanic-r", "kernel_id": "6222003"}, {"ref": "mahmoudvaziri/firstkaggle", "kernel_id": "6476954"}, {"ref": "thecansin/titanic-survival-detection-using-machine-learning", "kernel_id": "6196518"}, {"ref": "sadam25/titanic-beginners-model-built-using-log-reg", "kernel_id": "6338267"}, {"ref": "ahammedjaleel/easy-steps-for-beginners-titanic", "kernel_id": "6632124"}, {"ref": "gilfeather/getting-started-with-titanic", "kernel_id": "6211484"}, {"ref": "fanwang1996/titanic", "kernel_id": "6157551"}, {"ref": "gnodyahs/penalised-logistic-regression-model-titanic", "kernel_id": "6448315"}, {"ref": "neelvasani/titanic", "kernel_id": "6813019"}, {"ref": "mollyliebeskind/titanic-survival-random-forests-gridsearchcv", "kernel_id": "6637695"}, {"ref": "diegogomez92/titanic-diego", "kernel_id": "6581083"}, {"ref": "swinalmeshram/titanic-short-simple-accurate", "kernel_id": "6600591"}, {"ref": "nhntran/data-visualization-titanicdata", "kernel_id": "6018288"}, {"ref": "luuckymacedo/machine-learning-on-board-titanic", "kernel_id": "6062778"}, {"ref": "snide713/important-ml-code-snippets-to-have", "kernel_id": "6521415"}, {"ref": "pavan9065/getting-started-with-titanic", "kernel_id": "6188435"}, {"ref": "akash327/titanic-survival-prediction", "kernel_id": "6134851"}, {"ref": "lantian773030/ensembling-stacking-in-python-0-79425", "kernel_id": "6483444"}, {"ref": "guodaniel/getting-started-with-titanic", "kernel_id": "6277587"}, {"ref": "meneal/titanicize", "kernel_id": "6495438"}, {"ref": "nurram/my-first-titanic-survival-pred", "kernel_id": "6145858"}, {"ref": "m1947243/firstkernel", "kernel_id": "6813966"}, {"ref": "ingambe/titanic-my-first-classifier", "kernel_id": "6921098"}, {"ref": "reighns/titanic-a-complete-beginner-s-guide", "kernel_id": "6084768"}, {"ref": "gdstoica/titanic-dataset", "kernel_id": "6668327"}, {"ref": "nightking22/survival-prediction-9-with-random-forest", "kernel_id": "6447907"}, {"ref": "ogulunal/titanic", "kernel_id": "6116565"}, {"ref": "prajwal17/titaniccompetition", "kernel_id": "6392643"}, {"ref": "chamalihemapala/titanic-it16012516", "kernel_id": "6193724"}, {"ref": "adamcbaker8/adamfirsttitanicnb", "kernel_id": "6660899"}, {"ref": "halmogdady/starter-eda-classification-models", "kernel_id": "6672731"}, {"ref": "liquiddeath/titanic-prediction", "kernel_id": "6335631"}, {"ref": "sudiptom/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160503"}, {"ref": "himanshuagarwal190/titanic-survival", "kernel_id": "6884193"}, {"ref": "utkarshsteve7/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160508"}, {"ref": "kushalrm/titanic-eda-and-introduction-to-neural-networks", "kernel_id": "6276595"}, {"ref": "sjayashree/titanic-dataset-prediction", "kernel_id": "6563712"}, {"ref": "meg521996/titanic-prediction-by-logistic-regression", "kernel_id": "6120369"}, {"ref": "watyanabe164/minimum-settting-for-titanic", "kernel_id": "6212832"}, {"ref": "abhinbt/titanic-kaggle-competition", "kernel_id": "6393159"}, {"ref": "manojkoneni/mlp-with-1-hidden-layer-78-46-accuracy", "kernel_id": "6998883"}, {"ref": "bharatpurwar/titanic", "kernel_id": "6200870"}, {"ref": "tarimitsu/upura-kaggle-tutorial-01-first-submission", "kernel_id": "6175802"}, {"ref": "dkhodykin/titanic-machine-learning-from-disaster", "kernel_id": "6581330"}, {"ref": "eliasgreen/titanic-final", "kernel_id": "6018594"}, {"ref": "robzhao/rcz-v2", "kernel_id": "6075497"}, {"ref": "abigcleverdog/titanic-starter-kernel", "kernel_id": "6344312"}, {"ref": "praveenallam/titanic", "kernel_id": "6961468"}, {"ref": "huzmorgoth/titanic-ml-problem", "kernel_id": "6927905"}, {"ref": "rajgupta5/titanic-disaster-prediction", "kernel_id": "6996679"}, {"ref": "rohanvashisht/survived-titanic", "kernel_id": "6565689"}, {"ref": "mrboupp/2th-hands-on-at-fun-ai", "kernel_id": "6239945"}, {"ref": "mrboupp/3rd-hands-on-at-fun-ai", "kernel_id": "6426836"}, {"ref": "mrboupp/4th-hands-on-at-fun-ai", "kernel_id": "6857839"}, {"ref": "rraghav5600/titanic", "kernel_id": "6152829"}, {"ref": "rraghav5600/titanic-ml-model-old", "kernel_id": "6074780"}, {"ref": "umang5916/titanic-data-analysis-logistic-regression", "kernel_id": "6532156"}, {"ref": "dskagglemt/titanic-competitions", "kernel_id": "6718319"}, {"ref": "mrbovo/titanic-competition", "kernel_id": "6907708"}, {"ref": "bineeshsps/titanic-disas", "kernel_id": "6560839"}, {"ref": "giovanivrech/titanic-machine-learning-from-disaster", "kernel_id": "6738843"}, {"ref": "kleytontorikai/titanic-survivors", "kernel_id": "6858171"}, {"ref": "guesejustin/advanced-fe-gridcv-feature-elimination", "kernel_id": "6490094"}, {"ref": "guesejustin/91-genetic-algorithms-explained-using-geap", "kernel_id": "6572865"}, {"ref": "baiotosho/titanic", "kernel_id": "6179811"}, {"ref": "yeialgov/titanic-yeisson", "kernel_id": "6026960"}, {"ref": "elofdragon/a-cruise-of-thoughts-tackling-the-titanic-ds", "kernel_id": "6606077"}, {"ref": "karelsmejkal/titanic-survivors", "kernel_id": "6183594"}, {"ref": "levirchianca/titanic-problem-with-random-forest", "kernel_id": "6629803"}, {"ref": "drsingh01/titanic-survival", "kernel_id": "6018346"}, {"ref": "cgajjar05/kernel79bf7df65e", "kernel_id": "6112131"}, {"ref": "uttam94/titanic-survival", "kernel_id": "6543172"}, {"ref": "tman01/titanicpred", "kernel_id": "6080798"}, {"ref": "pradyumnacs/fork-of-naive-bayes-probabilistic-ml-titanic-sur", "kernel_id": "6160633"}, {"ref": "ashwathbalaji/titanic-eda-and-model-building", "kernel_id": "6595370"}, {"ref": "ya87sh/titanic-disaster-analysis-using-catboost", "kernel_id": "6789464"}, {"ref": "somykamble/logistic-regression-h2o-in-r", "kernel_id": "6332980"}, {"ref": "markanm/kernel5cb6fe237e", "kernel_id": "6025781"}, {"ref": "mohamedbasueny/titanic-notebook", "kernel_id": "6191664"}, {"ref": "sharma91varun/titanic", "kernel_id": "6809555"}, {"ref": "gildesh3211/abhay", "kernel_id": "6945593"}, {"ref": "bufferoverride/getting-started-with-titanic", "kernel_id": "6409540"}, {"ref": "vigneshtkumar/titanic-dataset-preprocessing", "kernel_id": "6460507"}, {"ref": "pradii/prediction-of-survived-with-logisticregression", "kernel_id": "6631786"}, {"ref": "sudharsan1297/titanic-model-building", "kernel_id": "6658024"}, {"ref": "vitorgaboardi/titanic-with-only-one-feature-0-8086-python", "kernel_id": "6601049"}, {"ref": "karinepcdc/kernel696ae78261", "kernel_id": "6508754"}, {"ref": "matheusmas132/kernel54a799e565", "kernel_id": "6626831"}, {"ref": "camiladuartes/titanic-machine-learning-pipeline", "kernel_id": "6533444"}, {"ref": "leonandro/titanic-ensemble", "kernel_id": "6618509"}, {"ref": "mdanielson/categorical-encoding-comparison", "kernel_id": "6280193"}, {"ref": "nikhiljain123/bappu-titanic", "kernel_id": "6529432"}, {"ref": "loyashoib/beginners-notebook-to-achieve-80-accuracy", "kernel_id": "6583594"}, {"ref": "riadalmadani/titanic-machine-learning", "kernel_id": "6591376"}, {"ref": "ahmedshamim/kerneldfc15832f5", "kernel_id": "6796496"}, {"ref": "rishijain848/kernel2593e28b4d", "kernel_id": "6513317"}, {"ref": "tanveerdey93/titanic-with-random-forest-classifier", "kernel_id": "6447111"}, {"ref": "yonde1202/kaggle", "kernel_id": "6652527"}, {"ref": "schnubiiii/20191126-titanic", "kernel_id": "6779464"}, {"ref": "pajkatt/titanic-terry", "kernel_id": "6996831"}, {"ref": "stopmosk/fork-of-titanic-tests-fnn", "kernel_id": "6324346"}, {"ref": "stopmosk/titanic-tests", "kernel_id": "6171172"}, {"ref": "prisilamichelle/predicting-titanic-survival", "kernel_id": "6323930"}, {"ref": "mayurmate12/titanic-classification", "kernel_id": "6246849"}, {"ref": "marcosacj/massive-grid-search", "kernel_id": "6630308"}, {"ref": "poojapuppala/titanicsurvivalprediction", "kernel_id": "6308282"}, {"ref": "neelm18/titanic-dt-rf-survivor-prediction", "kernel_id": "6479795"}, {"ref": "bespalov/titanicpredictions", "kernel_id": "6698894"}, {"ref": "amolwadpalle/titanic-survival-ml-acc-0-8547", "kernel_id": "6522845"}, {"ref": "jiayinliu1016/vis-ds", "kernel_id": "6558797"}, {"ref": "airydisc/titanic-easy-predictions", "kernel_id": "6918484"}, {"ref": "devkhant24/titanic-survivor-prediction", "kernel_id": "6332368"}, {"ref": "annabat/batmanova-titanic", "kernel_id": "6336650"}, {"ref": "akashsurya156/kernel7ea8daf8b3", "kernel_id": "6243717"}, {"ref": "kokoot/titanic-exploring-ds-workflow", "kernel_id": "6531687"}, {"ref": "clarlooktech/titanic-dataset-using-random-forest-model", "kernel_id": "6426496"}, {"ref": "clarlooktech/titanic-dataset-using-labelencoder-svm-model", "kernel_id": "6430034"}, {"ref": "jyotigangwar29/titanic-survival-predictor2-0", "kernel_id": "6064758"}, {"ref": "pandeysiddhartha915/getting-started-with-titanic", "kernel_id": "6161686"}, {"ref": "mogado/titanic-solution-after-data-processing", "kernel_id": "6945947"}, {"ref": "mariaholms/kernel5dbd5c891a", "kernel_id": "6215467"}, {"ref": "subho7/titanic-survivor-prediction-my-1st-submission", "kernel_id": "6700181"}, {"ref": "kathryndaniele/pipelinesgridsearch-titanic-disaster", "kernel_id": "6110586"}, {"ref": "weichen01/titanic-data-analysis-open-data", "kernel_id": "6303403"}, {"ref": "kimal25/titanic-datasets-eda-fe-dc-model-predictions", "kernel_id": "6460561"}, {"ref": "doyazen/easy-and-simple-prediction-score-0-79904", "kernel_id": "6211361"}, {"ref": "iabhishekmaurya/getting-started-with-titanic", "kernel_id": "6625021"}, {"ref": "haochengmei/final-project-meihaocheng-tom", "kernel_id": "6423676"}, {"ref": "mohammedmueen/note1", "kernel_id": "6813958"}, {"ref": "kaushalgrwl/myfirst", "kernel_id": "6813982"}, {"ref": "ravindra5337/titanic-logistic", "kernel_id": "6517747"}, {"ref": "finnbao/titanic-logistic-regression", "kernel_id": "6338796"}, {"ref": "finnbao/titanic-knn", "kernel_id": "6140574"}, {"ref": "jinningly/titanic-dataset-eda-and-prediction", "kernel_id": "6249626"}, {"ref": "trevorbirchall/first-kaggle-titanic", "kernel_id": "6342983"}, {"ref": "jagatjeeban/titan-data", "kernel_id": "6375710"}, {"ref": "aksha17/titanic-dataset-eda", "kernel_id": "6776886"}, {"ref": "tobchi/titanic-data-analysis-and-survival-predictions", "kernel_id": "6762823"}, {"ref": "efenes/ttnck-cmpttn", "kernel_id": "6136953"}, {"ref": "dbsrudals92/titanic1", "kernel_id": "6485872"}, {"ref": "debasisdotcom/titanic-ship-dataset", "kernel_id": "6240851"}, {"ref": "panchathimahesh4280/titanic-ml-kernel", "kernel_id": "6705235"}, {"ref": "syedshahab698/titanic-data", "kernel_id": "6538295"}, {"ref": "owenbarnes/titanic-script-by-owen-barnes", "kernel_id": "6992361"}, {"ref": "seungyoon6/titanic", "kernel_id": "6326538"}, {"ref": "antonnifo/kernel-titanic", "kernel_id": "6024672"}, {"ref": "marmarnus/getting-started-with-titanic", "kernel_id": "6938885"}, {"ref": "peterahlstrom/titanic-with-fast-ai", "kernel_id": "6949514"}, {"ref": "amigosmomo/titanic-data-science-xgboost-with-tunning", "kernel_id": "6175134"}, {"ref": "moneebarifbbs/kernel7bbaaafc6c", "kernel_id": "6891904"}, {"ref": "chaandh/survival-on-titanic-prediction", "kernel_id": "6198605"}, {"ref": "k90unal/kunal-titanic-dataset", "kernel_id": "6001664"}, {"ref": "kirillf55/hello-world-titanic-project", "kernel_id": "6004440"}, {"ref": "mucahitaz/titanic-svm-kfold", "kernel_id": "6556041"}, {"ref": "pankaj339/titanic-data-with-machine-learning", "kernel_id": "6544922"}, {"ref": "mbuzau/benchmark-model", "kernel_id": "6012934"}, {"ref": "evanspaul/kernel51c30a044f", "kernel_id": "6784924"}, {"ref": "bburnet/machine-learning-python-titanic-data", "kernel_id": "6368033"}, {"ref": "adilchkaf/start-with-titanic", "kernel_id": "6556131"}, {"ref": "avaxey/getting-started-with-titanic", "kernel_id": "6038066"}, {"ref": "mpanfil/titanic-disaster-data-visualisation-and-machine", "kernel_id": "6409461"}, {"ref": "rustacean/titanic-stupidly-simple-xgboost", "kernel_id": "6038987"}, {"ref": "pcjukaria/titanic-survival", "kernel_id": "6576621"}, {"ref": "zanin259/titanic-dataset", "kernel_id": "6083583"}, {"ref": "morenovanton/titanic-random-forest-model", "kernel_id": "6321187"}, {"ref": "morenovanton/titanic-random-forest", "kernel_id": "6753460"}, {"ref": "yixinchen1/kernel-tatanic", "kernel_id": "6135772"}, {"ref": "cyrilmavelil/titanic-data-analysis", "kernel_id": "6541081"}, {"ref": "spoorthymahesh/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160495"}, {"ref": "theflyingdutchman87/my-first-prediction-in-data-science", "kernel_id": "6119850"}, {"ref": "mariocatapano/proyecto-1-titanic", "kernel_id": "6078168"}, {"ref": "bhavikjain/easiest-titanic-sol-top-5-eda", "kernel_id": "6228929"}, {"ref": "fangqingyi/83-86-accuracy-prediction", "kernel_id": "6352607"}, {"ref": "saic93/kernel35bda28041", "kernel_id": "6941994"}, {"ref": "venkatmurali336/how-to-survive-the-titanic", "kernel_id": "6704964"}, {"ref": "b4xabhishekv/logistic-regression-applied", "kernel_id": "6105589"}, {"ref": "khushboobhattu/cs-100-data-science", "kernel_id": "6141207"}, {"ref": "crustyrazor/cs-100-data-science", "kernel_id": "6253449"}, {"ref": "alishaxkh/fork-of-cs-100-data-science", "kernel_id": "6209266"}, {"ref": "alishaxkh/cs-100-data-science", "kernel_id": "6140284"}, {"ref": "jmcaninch/cs-100-data-science", "kernel_id": "6170168"}, {"ref": "yungflu/cs-100-data-science", "kernel_id": "6170082"}, {"ref": "knguyen22/cs-100-data-science", "kernel_id": "6138082"}, {"ref": "jprila/cs-100-data-science", "kernel_id": "6140311"}, {"ref": "zwhjorth/titanic-survival-prediction", "kernel_id": "6117294"}, {"ref": "danielmesa/titanic-kernel-final", "kernel_id": "6087367"}, {"ref": "fguzman32/proyecto-1-comp-emergente-1819-1", "kernel_id": "6313151"}, {"ref": "stjepangolemac/titanic-1", "kernel_id": "6170805"}, {"ref": "robgkaggle/my-introduction-to-data-science", "kernel_id": "6205685"}, {"ref": "tame4learn/kernel59e269c570", "kernel_id": "6097104"}, {"ref": "fonstack/project-1-fontesquinterosucre", "kernel_id": "6173467"}, {"ref": "doms2a/rebuild-stacking-ensembling-tutorial", "kernel_id": "6658866"}, {"ref": "wind13/titanic-eda-modeling-beginner", "kernel_id": "6225699"}, {"ref": "zubeir/kernel411fb93a5a", "kernel_id": "6116529"}, {"ref": "edogawadore/cs-100-data-science", "kernel_id": "6117225"}, {"ref": "ktruong23/cs-100-data-science", "kernel_id": "6118904"}, {"ref": "bilalyussef/tba-titanic", "kernel_id": "6543578"}, {"ref": "luism1228/proyecto-1-ce-eskenazi-nu-ez-torres", "kernel_id": "6169098"}, {"ref": "darvizu/cs-100-data-science", "kernel_id": "6128324"}, {"ref": "fzheng19/cs-100-data-science", "kernel_id": "6128535"}, {"ref": "kowaiho/cs-100-data-science", "kernel_id": "6140403"}, {"ref": "avalencia1/cs-100-data-science", "kernel_id": "6129473"}, {"ref": "lmatar/cs-100-data-science", "kernel_id": "6130690"}, {"ref": "piratewindows/cs-100-data-science", "kernel_id": "6138488"}, {"ref": "fcampbell/cs-100-data-science", "kernel_id": "6140367"}, {"ref": "sahmed59/cs-100-lab-07-submission", "kernel_id": "6137923"}, {"ref": "angmadera/cs-100-data-science", "kernel_id": "6206582"}, {"ref": "aocampo3/cs-100-data-science", "kernel_id": "6154994"}, {"ref": "yasitl/cs-100-data-science", "kernel_id": "6141365"}, {"ref": "pkhadka/cs-100-data-science", "kernel_id": "6140333"}, {"ref": "jfetero/cs-100-data-science", "kernel_id": "6140309"}, {"ref": "linamkkang/cs-100-data-science", "kernel_id": "6140370"}, {"ref": "lwilliams7/cs-100-data-science", "kernel_id": "6140339"}, {"ref": "hyunbinlee/cs-100-data-science", "kernel_id": "6140356"}, {"ref": "abdulmunimkhan/cs-100-data-science", "kernel_id": "6140535"}, {"ref": "dmendbayar/cs-100-data-science", "kernel_id": "6141155"}, {"ref": "apaprock/cs-100-data-science", "kernel_id": "6141202"}, {"ref": "labib6/cs-100-data-science", "kernel_id": "6141256"}, {"ref": "ashuaibi3/cs-100-data-science", "kernel_id": "6141187"}, {"ref": "dayabe/cs-100-data-science", "kernel_id": "6141180"}, {"ref": "pinosanto/cs-100-data-science", "kernel_id": "6141218"}, {"ref": "kooldud/cs-100-data-science-f54e25", "kernel_id": "6141249"}, {"ref": "francisrinaldi/cs-100-data-science", "kernel_id": "6141198"}, {"ref": "ishy147/cs-100-data-science", "kernel_id": "6141251"}, {"ref": "yongkanghu/cs-100-data-science", "kernel_id": "6141301"}, {"ref": "neilbhand/cs-100-data-science", "kernel_id": "6141344"}, {"ref": "amichael1/cs-100-data-science", "kernel_id": "6141418"}, {"ref": "chiderrraaa/cs-100-data-science", "kernel_id": "6141502"}, {"ref": "yongkanghu2/cs-100-data-science-469d1e", "kernel_id": "6141736"}, {"ref": "narcolepticghost/cs-100-data-science", "kernel_id": "6142751"}, {"ref": "aelkossei01/cs-100-data-science", "kernel_id": "6145554"}, {"ref": "ibrahimhakami/titanic-machine-learning-from-disaster", "kernel_id": "6542956"}, {"ref": "funnyuk/titanic-total", "kernel_id": "6903649"}, {"ref": "taruto1215/mytitanic-analyze-data-handmade-prediction", "kernel_id": "6501113"}, {"ref": "taruto1215/framework", "kernel_id": "6497542"}, {"ref": "juanmv/titanicloschermontenegro", "kernel_id": "6270739"}, {"ref": "ninapberry/titanic-competition", "kernel_id": "6459225"}, {"ref": "tsoutonglang/cs-100-data-science", "kernel_id": "6152803"}, {"ref": "gangadharyr/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160516"}, {"ref": "deepikas10/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160484"}, {"ref": "amirhooshangi1989/kernel4c290c0747", "kernel_id": "6154376"}, {"ref": "fahsil24/cs-100-data-science", "kernel_id": "6154889"}, {"ref": "fbusche/cs-100-data-science", "kernel_id": "6154886"}, {"ref": "dobikili/cs-100-data-science", "kernel_id": "6154887"}, {"ref": "marinapojani/cs-100-data-science", "kernel_id": "6154909"}, {"ref": "naimqm/cs-100-data-science", "kernel_id": "6154952"}, {"ref": "talemu/cs-100-data-science", "kernel_id": "6154931"}, {"ref": "epaniagua/cs-100-data-science", "kernel_id": "6221356"}, {"ref": "mfortelnyy/cs-100-data-science", "kernel_id": "6171308"}, {"ref": "elizabethaquino17/cs-100-data-science", "kernel_id": "6155653"}, {"ref": "fchavez2/cs-100-data-science", "kernel_id": "6155582"}, {"ref": "michallanda/cs-100-data-science", "kernel_id": "6155611"}, {"ref": "mklinchin/cs-100-data-science", "kernel_id": "6155643"}, {"ref": "cookecameron/cs-100-data-science", "kernel_id": "6155709"}, {"ref": "fbarba/cs-100-data-science", "kernel_id": "6155798"}, {"ref": "shengkaixu46/cs-100-data-science-shengkai", "kernel_id": "6156132"}, {"ref": "safaslote/cs-100-data-science", "kernel_id": "6158579"}, {"ref": "nloh3292/cs-100-data-science", "kernel_id": "6170132"}, {"ref": "pawanappu/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160500"}, {"ref": "praveenhr/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160510"}, {"ref": "prajwalbharadwajn/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160507"}, {"ref": "vishwaspurushotham/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160490"}, {"ref": "taurunika/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160496"}, {"ref": "shylashree/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160483"}, {"ref": "karanmuddappa/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160487"}, {"ref": "sandeeepkiran/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160499"}, {"ref": "sinchanak/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160531"}, {"ref": "vv98432/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160660"}, {"ref": "soumayalgjoshi/naive-bayes-probabilistic-ml-titanic-surv-c3db2f", "kernel_id": "6160601"}, {"ref": "rhea098/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160592"}, {"ref": "karthikprajwals/naive-bayes-probabilistic-ml-titanic-surv-e455e2", "kernel_id": "6160636"}, {"ref": "mlworkshop101/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6160505"}, {"ref": "mayank10and8/titanic-classification", "kernel_id": "6427626"}, {"ref": "shuanggao/titanic-tiro", "kernel_id": "6620564"}, {"ref": "jdon278/jonathan-s-notebook", "kernel_id": "6202684"}, {"ref": "gtoledorodriguez/cs-100-data-science", "kernel_id": "6165271"}, {"ref": "proyecto1dmj/proyecto-1-computaci-n-emergente", "kernel_id": "6194545"}, {"ref": "yuanjiajie1010/titanic-prediction-using-r", "kernel_id": "6284909"}, {"ref": "ankush32/kernel40db1e446d", "kernel_id": "6266063"}, {"ref": "aedwards4/cs-100-data-science", "kernel_id": "6169244"}, {"ref": "jenterline/cs-100-data-science-89f4b1", "kernel_id": "6169528"}, {"ref": "jpolley/cs-100-data-science", "kernel_id": "6169352"}, {"ref": "xahuad/cs-100-data-science", "kernel_id": "6169405"}, {"ref": "gbryk23/cs-100-data-science", "kernel_id": "6169390"}, {"ref": "michaelflisk/cs-100-data-science", "kernel_id": "6169419"}, {"ref": "alekpop2/cs-100-data-science", "kernel_id": "6169550"}, {"ref": "nchahine/cs-100-data-science", "kernel_id": "6169431"}, {"ref": "skhan103/cs-100-data-science-507bde", "kernel_id": "6169982"}, {"ref": "iprskalo/cs-100-data-science", "kernel_id": "6170123"}, {"ref": "ssyed27/cs-100-data-science", "kernel_id": "6170128"}, {"ref": "alecderay/cs-100-data-science", "kernel_id": "6170134"}, {"ref": "fenglian123/cs-100-data-science", "kernel_id": "6170468"}, {"ref": "irivera3/cs-100-data-science", "kernel_id": "6170514"}, {"ref": "jacobgrant/cs-100-data-science", "kernel_id": "6170789"}, {"ref": "kquach2/cs-100-data-science", "kernel_id": "6236790"}, {"ref": "chandan3231/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "6173806"}, {"ref": "shecodeshsucodes/paddlepop-titanic", "kernel_id": "6241497"}, {"ref": "ghghdfd/my-first-kernel-titanic", "kernel_id": "6550646"}, {"ref": "hs999518/tit-nic-predictions", "kernel_id": "6368425"}, {"ref": "woshilan4/mytitanicpredi", "kernel_id": "6176745"}, {"ref": "ldandoy/kernel-titanic", "kernel_id": "6214522"}, {"ref": "hazelhe99/titanic-eda", "kernel_id": "6667777"}, {"ref": "jinarello/titanic-model-v1", "kernel_id": "6473585"}, {"ref": "andrewpetrac/cs-100-data-science", "kernel_id": "6183267"}, {"ref": "pictonzs/cs-100-data-science", "kernel_id": "6184876"}, {"ref": "huybao787/titanic", "kernel_id": "6285969"}, {"ref": "faizanm17/cs-100-data-science", "kernel_id": "6207539"}, {"ref": "manuelmendoza/proyecto-1-predicci-n-del-titanic", "kernel_id": "6294682"}, {"ref": "anandrikka/project-titanic", "kernel_id": "6195677"}, {"ref": "drewski0/cs-100-data-science", "kernel_id": "6194004"}, {"ref": "salamancakev/proyecto-1-computaci-n-emergente", "kernel_id": "6194235"}, {"ref": "marialbugallo/proyecto1-computacionemergente", "kernel_id": "6194518"}, {"ref": "spatel137/cs-100-data-science", "kernel_id": "6194640"}, {"ref": "rtyagi1/cs-100-data-science", "kernel_id": "6196119"}, {"ref": "akashgangadharan/titanic-disaster-using-random-forest", "kernel_id": "6275032"}, {"ref": "sebastianalcala/hap-py", "kernel_id": "6296467"}, {"ref": "landmm/kernel1e249ddb67", "kernel_id": "6202464"}, {"ref": "raineyung/cs-100-data-science-raine-yung-and-angie-iturbide", "kernel_id": "6203328"}, {"ref": "muhammadumar34/machine-learning-to-achieve-84-accuracy", "kernel_id": "6204215"}, {"ref": "samruddhikakade/cs-100-data-science", "kernel_id": "6254605"}, {"ref": "greggkr/cs-100-data-science-133abe", "kernel_id": "6205868"}, {"ref": "guanghaoou/cs-100-data-science", "kernel_id": "6205839"}, {"ref": "shogarty/cs-100-data-science", "kernel_id": "6206740"}, {"ref": "chunter3/cs-100-data-science", "kernel_id": "6206285"}, {"ref": "dragneelious/cs-100-data-science", "kernel_id": "6207123"}, {"ref": "cschenck/cs-100-data-science", "kernel_id": "6207506"}, {"ref": "w3nd1g0/cs-100-data-science", "kernel_id": "6208211"}, {"ref": "kfesmire3/cs-100-data-science", "kernel_id": "6208478"}, {"ref": "giogg11/cs-100-data-science", "kernel_id": "6208718"}, {"ref": "ymmt1986/kernel40a09ab338", "kernel_id": "6221525"}, {"ref": "giacomo97/preprocessing-and-model-selection-on-titanic-data", "kernel_id": "6848555"}, {"ref": "ronnyatoche/getting-started-with-titanic", "kernel_id": "6311656"}, {"ref": "antiquesoul/calin-s-submission", "kernel_id": "6370635"}, {"ref": "ssimco/kernel29a4a2fc6f", "kernel_id": "6228936"}, {"ref": "phanenkov/kernel36dfc4b539", "kernel_id": "6249445"}, {"ref": "shom10/deep-learning-to-solve-titanic", "kernel_id": "6526349"}, {"ref": "epang0/cs-100-data-science", "kernel_id": "6232679"}, {"ref": "schulerj/titanic-disaster-learning-byjs", "kernel_id": "6316230"}, {"ref": "lacosta2/cs-100-data-science", "kernel_id": "6238238"}, {"ref": "davidseo331/titanic-second", "kernel_id": "6385029"}, {"ref": "ioanaandreeaanton/titanic-competition", "kernel_id": "6324557"}, {"ref": "onurcakir/titanic-solution-with-describes", "kernel_id": "6408516"}, {"ref": "hondatakaaki/kernel15cbe51725", "kernel_id": "6644122"}, {"ref": "hondatakaaki/kernel7ca2e07344", "kernel_id": "6643668"}, {"ref": "sekarkrismayaweni/titanic-visualization", "kernel_id": "6620751"}, {"ref": "williamgibson/cs-100-data-science", "kernel_id": "6254684"}, {"ref": "jadams9077/cs-100-data-science", "kernel_id": "6254782"}, {"ref": "nawafalawdan/titanic-project", "kernel_id": "6541911"}, {"ref": "shehanaaljaloud/project2-part2", "kernel_id": "6413637"}, {"ref": "shussain2098/getting-started-with-titanic", "kernel_id": "6302201"}, {"ref": "neerajksharma/datascience-learning-begginers-titanic-dataset", "kernel_id": "6475519"}, {"ref": "andylivan/titanic", "kernel_id": "6850733"}, {"ref": "dinashilibekova/kernel775f8a6659", "kernel_id": "6384636"}, {"ref": "tsilverio/titanic-submission-regression-portuguese", "kernel_id": "6446619"}, {"ref": "melonicedlatte/beginner-keras-and-visualization-tutorial", "kernel_id": "6287020"}, {"ref": "mohammadjavadirad/kernel1112fea26b", "kernel_id": "6309753"}, {"ref": "od0aresearch/titanic-fastai", "kernel_id": "6288630"}, {"ref": "iakimartinezgarriz/titanic-dataset", "kernel_id": "6490137"}, {"ref": "pranaiyadav/titanic-survival", "kernel_id": "6460731"}, {"ref": "solisrex/titanic-dataset-gradient-boosting-classifier", "kernel_id": "6327380"}, {"ref": "jaysoncunanan/fresh-start-titanic", "kernel_id": "6374537"}, {"ref": "navedansari/accuracy-for-death-rate", "kernel_id": "6485943"}, {"ref": "verouchis/celin-dion-script", "kernel_id": "6376040"}, {"ref": "swagatambiswas/ann-titanic", "kernel_id": "6337917"}, {"ref": "soutakawakami/upura-kaggle-tutorial-01-first-submission", "kernel_id": "6365954"}, {"ref": "idolaspecus/1st-submission", "kernel_id": "6945671"}, {"ref": "davisbenny/dukedavis", "kernel_id": "6381764"}, {"ref": "queklester/titanic-competition-80-by-beginner-coder", "kernel_id": "6929026"}, {"ref": "thibaultbezpalko/titanic-pipeline-gridsearch", "kernel_id": "6427635"}, {"ref": "thibaultbezpalko/titanic-comparison", "kernel_id": "6417932"}, {"ref": "kickitlikeshika/titanic-disaster", "kernel_id": "6959441"}, {"ref": "pavel1988/randomforestclassifier", "kernel_id": "6665559"}, {"ref": "ildoheo/team4-test", "kernel_id": "6393638"}, {"ref": "swapnilchaturvedi/titanic-survival-notebook", "kernel_id": "6710367"}, {"ref": "rhhassan/rs-titanic-survival", "kernel_id": "6409277"}, {"ref": "amandeep1991/20191117-0001-amandeep-titanic-machinelearning", "kernel_id": "6652553"}, {"ref": "phacharakamthong/titanic-model", "kernel_id": "6503863"}, {"ref": "wjiali/action3-gridsearchcv-pipeline", "kernel_id": "6583047"}, {"ref": "wjiali/action3-gridsearchcv-pipeline-v2", "kernel_id": "6583165"}, {"ref": "keunyoungjung/kynet-tatinic", "kernel_id": "6591616"}, {"ref": "pedrosilvaalves/kernel644a92093d", "kernel_id": "6416036"}, {"ref": "saucyishere/titanic-by-xgboost-with-categorical-variables", "kernel_id": "6561567"}, {"ref": "faisalalshuraym/fam-titanic", "kernel_id": "6418076"}, {"ref": "robinrichards/kernel58f986804e", "kernel_id": "6420985"}, {"ref": "pranitbankar/titanic-helper", "kernel_id": "6455843"}, {"ref": "pranitbankar/titanic", "kernel_id": "6455862"}, {"ref": "iamaniket/titanicsurvivorprediction", "kernel_id": "6434735"}, {"ref": "fredmarlton/titanic-sklearn", "kernel_id": "6477856"}, {"ref": "digamberchauhan/kernel7b6662b2ab", "kernel_id": "6491882"}, {"ref": "zhabas/titanic-challenge", "kernel_id": "6442321"}, {"ref": "davidpyn27/kernel7ad282ba57", "kernel_id": "6523987"}, {"ref": "rachelsavant/getting-started-with-titanic-20191124", "kernel_id": "6750061"}, {"ref": "hamdinizar/seaborn", "kernel_id": "6552988"}, {"ref": "hamdinizar/sklearn", "kernel_id": "6553372"}, {"ref": "andersonmartins/oficial", "kernel_id": "6591371"}, {"ref": "akmnkw/visualize-cheat-sheet", "kernel_id": "6919917"}, {"ref": "ebenezerntoumyafari/titanic-eben", "kernel_id": "6468109"}, {"ref": "ebenezerntoumyafari/titanic-eben-notebook", "kernel_id": "6469526"}, {"ref": "alexanderdanson/titanic-survival-patterns", "kernel_id": "6467019"}, {"ref": "alpishjain/this-feels-good", "kernel_id": "6459345"}, {"ref": "vladislavp/titanic-with-explanations", "kernel_id": "6466472"}, {"ref": "elizavenceslau/desafio-titanic", "kernel_id": "6650445"}, {"ref": "zangzangs/data-analysis-for-titanic", "kernel_id": "6475770"}, {"ref": "denisrsmedeiros/titanic", "kernel_id": "6513074"}, {"ref": "zubairnurie/titanic-ml", "kernel_id": "6491729"}, {"ref": "naokiito/naoki-s-titanic", "kernel_id": "6490850"}, {"ref": "jamesham/ham-s-first-trial", "kernel_id": "6499048"}, {"ref": "wildwatermelon/titanic-tutorial", "kernel_id": "6585259"}, {"ref": "priyankabnl/titanic-problem-solved-with-ml", "kernel_id": "6782137"}, {"ref": "muniahumaira/titanic-dead-or-alive", "kernel_id": "6894426"}, {"ref": "pedrohmeira/bestofall-titanic", "kernel_id": "6523235"}, {"ref": "brunarego/titanic-python", "kernel_id": "6700827"}, {"ref": "mrcwalton/titanic-simple-detailed-walkthrough-decision-tree", "kernel_id": "6959732"}, {"ref": "diegog117/kernel560924d777", "kernel_id": "6898205"}, {"ref": "millenacampos/millena-titanic", "kernel_id": "6522516"}, {"ref": "dlflor/daniel-flor-titanic-1st-attempt", "kernel_id": "6523808"}, {"ref": "zxuannn/titanic-survival-analysis", "kernel_id": "6559707"}, {"ref": "yifeishu/titanic-data-science-solutions", "kernel_id": "6524726"}, {"ref": "donboti/kernel4aaab8dc1d", "kernel_id": "6778290"}, {"ref": "mengyahuustcpu/feature-engineering-tutorial-using-titanic-data", "kernel_id": "6630176"}, {"ref": "catena2w/predict-titanic-with-keras", "kernel_id": "6556601"}, {"ref": "catena2w/titanic-keras-model", "kernel_id": "6555183"}, {"ref": "dat14dka/titanic-entry", "kernel_id": "6556873"}, {"ref": "brenoalbuquerque/vis-ds", "kernel_id": "6559041"}, {"ref": "danfengcao/vis-ds-danfeng", "kernel_id": "6558964"}, {"ref": "mingchengchen/elitesai-dt", "kernel_id": "6566053"}, {"ref": "mingchengchen/elitesai-gbdt", "kernel_id": "6572033"}, {"ref": "leticiapeixoto/titanic", "kernel_id": "6822812"}, {"ref": "jensdesmeyter/titanic", "kernel_id": "6566548"}, {"ref": "narasimhajwalapuram/data-visualization-titanic-survival", "kernel_id": "6570347"}, {"ref": "shashankngowda/data-visualization-titanic-survival", "kernel_id": "6570433"}, {"ref": "sandeepyadav1234/titanic-machine-learning-from-disaster-1902da", "kernel_id": "6570581"}, {"ref": "sandeepyadav1234/data-visualization-titanic-survival", "kernel_id": "6570620"}, {"ref": "yassirelay/titanicfirsttry", "kernel_id": "6697039"}, {"ref": "nx9010/estudo-de-caso-tic-sobreviventes-do-titanic", "kernel_id": "6612575"}, {"ref": "chrisraper/kernel3c5b740034", "kernel_id": "6650492"}, {"ref": "sahilpahuja/titanic", "kernel_id": "6733321"}, {"ref": "anki112279/titanic", "kernel_id": "6842643"}, {"ref": "alangarrickbercero/titanic-submission", "kernel_id": "6642581"}, {"ref": "dgfian/survival-prediction-titanic-dataset", "kernel_id": "6612286"}, {"ref": "luluhou/my-firstcode", "kernel_id": "6620250"}, {"ref": "alexmitchell/getting-started-with-titanic", "kernel_id": "6689262"}, {"ref": "neerjajhingan/titanic-first-project", "kernel_id": "6670250"}, {"ref": "haradaai/titanic-data-check", "kernel_id": "6768842"}, {"ref": "haradaai/titanic", "kernel_id": "6855828"}, {"ref": "wangdangao/fully-connected-network", "kernel_id": "6668017"}, {"ref": "wangdangao/fisher-linear-classifier", "kernel_id": "6656000"}, {"ref": "eduardooo/titanic-problem-with-rf", "kernel_id": "6891391"}, {"ref": "afzalsiddique/titanic-random-forest", "kernel_id": "6813398"}, {"ref": "nitzanshulman/first-titanic-notebook", "kernel_id": "6636313"}, {"ref": "phuongnguyen77/titanic", "kernel_id": "6642137"}, {"ref": "souvikmishra/titanic-disaster-notebook", "kernel_id": "6706108"}, {"ref": "juyounlee/getting-started-with-titanic", "kernel_id": "6652898"}, {"ref": "lwdlwd/introduction-to-ensembling-stacking-in-python", "kernel_id": "6848583"}, {"ref": "saikr0/titanic-tutorial", "kernel_id": "6677996"}, {"ref": "emanuelemercanti/fast-and-easy-94", "kernel_id": "6795135"}, {"ref": "arul08/titanic-tutorial", "kernel_id": "6944997"}, {"ref": "navyamangipudi/titanic-survival-predictions", "kernel_id": "6926292"}, {"ref": "rdel123/titanic-data", "kernel_id": "6898146"}, {"ref": "bear000777/fork-of-homework-5-kaggle-introductory-competiti", "kernel_id": "6720711"}, {"ref": "katsuragitetsuya/titanic", "kernel_id": "6934311"}, {"ref": "gurleenkaur1109/titanicdatasetanalysis", "kernel_id": "6678079"}, {"ref": "seonjulim/getting-started-with-titanic", "kernel_id": "6679468"}, {"ref": "sadiab/getting-started-with-titanic-sadiabusha", "kernel_id": "6687842"}, {"ref": "hollydail/titanic-exploration-of-features", "kernel_id": "6700852"}, {"ref": "yokokurokawa/titanicyoko", "kernel_id": "6690916"}, {"ref": "glensatriawan/getting-started-with-titanic", "kernel_id": "6717032"}, {"ref": "andreybaravik/kernel4e507c4370", "kernel_id": "6814742"}, {"ref": "aristidemuhizi/kernel48c5f0e110", "kernel_id": "6832124"}, {"ref": "diegosantos96/atividade-6", "kernel_id": "6817793"}, {"ref": "diegosantos96/atividade-6-e-7-bonato", "kernel_id": "6709815"}, {"ref": "michanowak/titanic-but-less-chaotic-maybe", "kernel_id": "6914688"}, {"ref": "nafizcntz/titanic", "kernel_id": "6807606"}, {"ref": "amitraina007/titanic-23nov", "kernel_id": "6734025"}, {"ref": "nikhil2k1/accept-the-challenge-survive-the-titanic", "kernel_id": "6736426"}, {"ref": "vinothkumarv/vinov-note01-titanic", "kernel_id": "6767572"}, {"ref": "moritzdurst/titanic-logistic-regression", "kernel_id": "6777858"}, {"ref": "iabhi0099/kernel7b3ebe531f", "kernel_id": "6813235"}, {"ref": "heoynwoo/titanic-data", "kernel_id": "6930796"}, {"ref": "shankarbettadapura/titanic-shankar", "kernel_id": "6808174"}, {"ref": "johnmichaelalcantara/kernel7d818a4362", "kernel_id": "6811703"}, {"ref": "fadymorris/getting-started-with-titanic", "kernel_id": "6840020"}, {"ref": "kchandn/kernel27ce2bbe59", "kernel_id": "6813227"}, {"ref": "prashantraj1947251/myfirst", "kernel_id": "6813959"}, {"ref": "avatanshawasthi/myfirst", "kernel_id": "6813987"}, {"ref": "dharamraj/kernel4cf5718f4f", "kernel_id": "6813974"}, {"ref": "shalukumari1947259/kernel2d599dba49", "kernel_id": "6813988"}, {"ref": "hemanthdesai/my-first", "kernel_id": "6813960"}, {"ref": "romeochan/getting-started-with-titanic", "kernel_id": "6947207"}, {"ref": "longlhh/my-first-da-and-ml-with-titanic-on-kaggle", "kernel_id": "6875078"}, {"ref": "sbastienmoret/model-titanic-morray", "kernel_id": "6865529"}, {"ref": "florianlegars/titanic-flg", "kernel_id": "6865644"}, {"ref": "julienladisa/ladisa-titanic", "kernel_id": "6865513"}, {"ref": "ipformation/titanic-nasser", "kernel_id": "6865526"}, {"ref": "thibautmauve/model-titanic-baseline", "kernel_id": "6865520"}, {"ref": "kevinquach/titanic-quach-notebook", "kernel_id": "6865547"}, {"ref": "dmansuy/dianemansuy", "kernel_id": "6892351"}, {"ref": "kevinmouga/mougammadaly-kevin-titanic-ipssi", "kernel_id": "6865046"}, {"ref": "jrmylejeune/lejeune-jeremy-ipssi-titanic-old", "kernel_id": "6893744"}, {"ref": "jrmylejeune/lejeune-jeremy-ipssi-titanic-new", "kernel_id": "6921321"}, {"ref": "hakric/hamza", "kernel_id": "6890390"}, {"ref": "amandinelesaint/titanic-lesaint", "kernel_id": "6865524"}, {"ref": "florianbazerque/kernel5275e34c0f", "kernel_id": "6865528"}, {"ref": "jamshadpnm/kernel1a15e7af40", "kernel_id": "6861880"}, {"ref": "vincentcrb/kernel246a498c73", "kernel_id": "6865541"}, {"ref": "sofiane77/premier-notebook", "kernel_id": "6865876"}, {"ref": "kevinibogni/kernel74f15a2b69", "kernel_id": "6951140"}, {"ref": "gr0ceries/lab-6-titanic-submission", "kernel_id": "6926509"}, {"ref": "kendrickbalba/kernel10cd9a4254", "kernel_id": "6901769"}, {"ref": "erkanhatipoglu/getting-started-with-titanic", "kernel_id": "6926875"}, {"ref": "sasidharturaga/feature-engineering-catboost-classifier-80-acc", "kernel_id": "6942645"}, {"ref": "hambardzumyansyuz/susanna", "kernel_id": "6998973"}, {"ref": "shushanghazaryan/shushan", "kernel_id": "6921081"}, {"ref": "poojak97/kaggleworkshop", "kernel_id": "6943363"}, {"ref": "waqarabbas/titanic-draft1", "kernel_id": "6932598"}, {"ref": "volcanoem/logistic-regression-for-titianic", "kernel_id": "6944249"}, {"ref": "ryohirai/upura-kaggle-tutorial-01-first-submission", "kernel_id": "6942216"}, {"ref": "saumyakushwaha/wtm-kaggle-workshop", "kernel_id": "6943364"}, {"ref": "aravindh020/kagglewtmblr", "kernel_id": "6943285"}, {"ref": "adrianstodolski/kernel56362f7e7d", "kernel_id": "6951774"}, {"ref": "anacrisl/newmodeltitanic", "kernel_id": "6977628"}, {"ref": "billions/titanic-logistic-regression", "kernel_id": "6995149"}, {"ref": "domoldo/titanic-python-demo-gmu-kaggle-club", "kernel_id": "7687469"}, {"ref": "domoldo/titanic-r-demo-gmu-kaggle-club", "kernel_id": "7749019"}, {"ref": "sumantindurkhya/titanic-survival-prediction-hyperparameter-tuning", "kernel_id": "7809969"}, {"ref": "shrutidwivedi/firstpythonkernel-15dec", "kernel_id": "7051239"}, {"ref": "pumpkin/titanic-data-exploration", "kernel_id": "7764331"}, {"ref": "tambal/titanic", "kernel_id": "7461352"}, {"ref": "kevansaba/titanic-survival-prediction-with-knn-gnb-and-rf", "kernel_id": "7817962"}, {"ref": "donghunkim/titanic-eda", "kernel_id": "7389360"}, {"ref": "daniel68/titanic-a-simple-and-hopefully-clear-approach", "kernel_id": "7094339"}, {"ref": "shubhamgupta2/titanic-1st", "kernel_id": "7939942"}, {"ref": "pablosuau/support-vector-machines", "kernel_id": "7966992"}, {"ref": "scirpus/fork-of-my-first-gp-in-r", "kernel_id": "7591417"}, {"ref": "scirpus/go-big-or-go-home-complex-math", "kernel_id": "7604822"}, {"ref": "scirpus/small-potaters-complex-math", "kernel_id": "7607431"}, {"ref": "scirpus/gp-in-r-using-complex-math", "kernel_id": "7592335"}, {"ref": "scirpus/sack-of-potatoes-complex-math", "kernel_id": "7661611"}, {"ref": "havingfun/titanic-all-basic-classification-methods", "kernel_id": "7588114"}, {"ref": "anshumishra/swiggyworkshop", "kernel_id": "7051273"}, {"ref": "sterby/how-to-compute-stochastic-quantities-in-pandas", "kernel_id": "7578147"}, {"ref": "parulpandey/useful-python-libraries-for-data-science", "kernel_id": "7838924"}, {"ref": "parulpandey/10-simple-hacks-to-speed-up-your-data-analysis", "kernel_id": "7041709"}, {"ref": "parulpandey/what-s-new-in-pandas-1-0-0", "kernel_id": "7337421"}, {"ref": "parulpandey/using-pandas-without-coding", "kernel_id": "7541555"}, {"ref": "dskinner/kernel3e7d3d0f7a", "kernel_id": "7926928"}, {"ref": "abhinandanmukherjee/jan-batch", "kernel_id": "7779098"}, {"ref": "navinksuman/firstsolutiontitanic", "kernel_id": "7713872"}, {"ref": "carlosilva/titanic-survival-prediction", "kernel_id": "7640856"}, {"ref": "ioiooiioio/kernel6d0ff6c817", "kernel_id": "7502489"}, {"ref": "rahulaggarwal/kernel-master", "kernel_id": "7296681"}, {"ref": "avk256/titanicsnorkellf", "kernel_id": "7795917"}, {"ref": "rayhuang/titanic-getting-started", "kernel_id": "7884910"}, {"ref": "rmaloney/titanic-sandbox", "kernel_id": "7361557"}, {"ref": "maxonr/kernel180316593e", "kernel_id": "7230093"}, {"ref": "bhavesh09/titanic-starter", "kernel_id": "7970082"}, {"ref": "subham07/titanic-problem-using-artificial-neural-network", "kernel_id": "7113000"}, {"ref": "rsesha/autoviml-autonlp-on-titanic-demo-kernel", "kernel_id": "7163587"}, {"ref": "atulverma/titanic-pipeline-with-random-f", "kernel_id": "7063090"}, {"ref": "adamyeoman/interpretable-ml-corels", "kernel_id": "7635193"}, {"ref": "walner/4-aula-gustavo-sabino-atividade", "kernel_id": "7890497"}, {"ref": "alexandersvozil/titanic-first-try", "kernel_id": "7212267"}, {"ref": "ajayramesh/viz-titanic-dataset", "kernel_id": "7934657"}, {"ref": "wernerechezuria/getting-started-with-titanic", "kernel_id": "7361240"}, {"ref": "knageswara78/kaggle-titanic-python-solution", "kernel_id": "7159375"}, {"ref": "chaithanyakumar/modeling-with-titanic-data-using-helperfunctions", "kernel_id": "7454872"}, {"ref": "humbertobonizzi/kernel97b64e13fa", "kernel_id": "7230438"}, {"ref": "itsankit/survival-predictor", "kernel_id": "7292158"}, {"ref": "christianhritter/titanic-ch2", "kernel_id": "7226684"}, {"ref": "davieokunyah/beginner-top-5-solution-with-r", "kernel_id": "7680307"}, {"ref": "mylee2009/titanic-naive-bayes", "kernel_id": "7562277"}, {"ref": "amrutan/kernel515f7bed16", "kernel_id": "7868177"}, {"ref": "andyhu/titanic-eda", "kernel_id": "7779156"}, {"ref": "soachishti/complete-beginner-your-first-titanic-submission", "kernel_id": "7041317"}, {"ref": "xz0416/titanic-refresher-in-python", "kernel_id": "7137466"}, {"ref": "gulyvz/bokeh-101", "kernel_id": "7602582"}, {"ref": "badamnarendra/titanic-eda", "kernel_id": "7665925"}, {"ref": "leonardzhu/titanic-family-size-title-boosts-up-score", "kernel_id": "7692536"}, {"ref": "amirzakhmet/titanic-decision-tree", "kernel_id": "7327704"}, {"ref": "amirzakhmet/titanic-nn", "kernel_id": "7512768"}, {"ref": "suprasannap/titanic-prediction-with-ml", "kernel_id": "7132461"}, {"ref": "siklinator/titanic-top-6-simple-random-forest-r-end-to-end", "kernel_id": "7734270"}, {"ref": "sumitdantale/eda-titanic-disaster-survival", "kernel_id": "7945524"}, {"ref": "bhuwanesh340/titanic-survival-prediction", "kernel_id": "7523450"}, {"ref": "mahak30/comparison-of-modin-and-pandas-dataframes", "kernel_id": "7400110"}, {"ref": "koheimuramatsu/nlp-preprocessing-functions", "kernel_id": "7021643"}, {"ref": "koheimuramatsu/preprocessing-functions", "kernel_id": "7037788"}, {"ref": "koheimuramatsu/modeling-functions", "kernel_id": "7160210"}, {"ref": "ayildirim/my-data-will-go-on", "kernel_id": "7042615"}, {"ref": "dash25/titanic-solution", "kernel_id": "7945337"}, {"ref": "lsxwxs/simple-decisiontree-solution", "kernel_id": "7432740"}, {"ref": "rbehd6129/lev-1-titanic-4", "kernel_id": "7540034"}, {"ref": "rbehd6129/lev-1-titanic-3", "kernel_id": "7504877"}, {"ref": "grapestone5321/titanic-random-forest-model", "kernel_id": "7232891"}, {"ref": "grapestone5321/titanic-gender-submission", "kernel_id": "7047353"}, {"ref": "islamarfh/predicting-who-have-the-chance-for-a-new-life", "kernel_id": "7810814"}, {"ref": "marcusrb/titanic-first-kaggle-challenge-in-python-v2", "kernel_id": "7500333"}, {"ref": "ronakc/learnings-from-a-disaster-easy-to-follow-kernel", "kernel_id": "7959669"}, {"ref": "kanncaa1/dataiteam-titanic-eda", "kernel_id": "7783554"}, {"ref": "niteshhalai/titanic-gradient-boosting", "kernel_id": "7203678"}, {"ref": "niteshhalai/titanic-data-profiling", "kernel_id": "7100483"}, {"ref": "niteshhalai/titanic-logistic-regression-v2", "kernel_id": "7050802"}, {"ref": "basedrhys/titanic", "kernel_id": "7209037"}, {"ref": "eavdeeva/tutorial-logistic-regression", "kernel_id": "7886538"}, {"ref": "mwayne/logistic-regression-in-r", "kernel_id": "7069410"}, {"ref": "couyang/a-guide-of-xgboost-with-gpu", "kernel_id": "7275909"}, {"ref": "hotessy/trousers-titanic-baseline-lightgbm", "kernel_id": "7493260"}, {"ref": "aredier/titanic-explaining-predictions-with-trelawney", "kernel_id": "7641628"}, {"ref": "pdx250697/titanic-eda", "kernel_id": "7398550"}, {"ref": "naufalimami/komputasi-boys-titanic", "kernel_id": "7687198"}, {"ref": "naufalimami/fork-of-komputasi-boys-titanic", "kernel_id": "7687248"}, {"ref": "wakamezake/titanic-submission-sample", "kernel_id": "7200514"}, {"ref": "wakamezake/titanic-lightgbm", "kernel_id": "7076010"}, {"ref": "amoghjrules/pokemon-matplotlib-and-seaborn-eda", "kernel_id": "7833393"}, {"ref": "ahhjones/titanic-survival-prediction", "kernel_id": "7834508"}, {"ref": "bmk007/titanic-ml", "kernel_id": "7051461"}, {"ref": "karamiko/data-visualization-titanic", "kernel_id": "7849994"}, {"ref": "ateplyuk/titanic-pytorch-simplest", "kernel_id": "7742240"}, {"ref": "sbendluncc/kernelcacd3ab6cc", "kernel_id": "7761776"}, {"ref": "jeetgan/titanic-g2", "kernel_id": "7566723"}, {"ref": "akankshaj/first-try", "kernel_id": "7932706"}, {"ref": "ashora/titanic-survival-prediction-beginner", "kernel_id": "7591452"}, {"ref": "muhammadhamzasabir/survival-prediction", "kernel_id": "7779882"}, {"ref": "daisukesatow/random-forest-xgboost-and-lime-shap-with-titanic", "kernel_id": "7320876"}, {"ref": "tugrulguner/titanic-classification", "kernel_id": "7157324"}, {"ref": "junojunho/kernel776bd90f71", "kernel_id": "7977905"}, {"ref": "akaash/titanic-prediction", "kernel_id": "7297634"}, {"ref": "samarche/tutorial-notebook", "kernel_id": "7564784"}, {"ref": "naiara/titanic-starting-ml", "kernel_id": "7708395"}, {"ref": "reeky4/mj-titanic", "kernel_id": "7098595"}, {"ref": "kawaiy/for-study-meeting-of-jg1-en", "kernel_id": "7927373"}, {"ref": "agilulfo/titanic-hands-on-practice", "kernel_id": "7669578"}, {"ref": "szett27/titanic-catboost-top-16", "kernel_id": "7868253"}, {"ref": "szett27/titanic-dataset", "kernel_id": "7115916"}, {"ref": "mmatvienko/who-will-survive-the-titanic-rf", "kernel_id": "7947425"}, {"ref": "leetaekyun/titanic2", "kernel_id": "7428504"}, {"ref": "girish01/guide-for-machine-learning-algos", "kernel_id": "7354778"}, {"ref": "chekoduadarsh/xgboost", "kernel_id": "7019286"}, {"ref": "chekoduadarsh/basic-exercises-on-numpy-and-pandas", "kernel_id": "7580678"}, {"ref": "faysalislam/r-randomf-72", "kernel_id": "7211678"}, {"ref": "faysalislam/titanic-wcg-xgboost-0-84688", "kernel_id": "7251574"}, {"ref": "shankarpendse/titanicprediction-with-84-validation-accuracy", "kernel_id": "7506934"}, {"ref": "subhalucky/titanic-basic-solution-with-logistic-regression", "kernel_id": "7955175"}, {"ref": "chun1182/fork-of-titanic-train", "kernel_id": "7357275"}, {"ref": "wenyongliu/my-first-kernel-titanic-02112020", "kernel_id": "7933536"}, {"ref": "diamondsnake/titanic-gradient-boosting", "kernel_id": "7578715"}, {"ref": "thisisprabin/titanic-machine-learning-solution", "kernel_id": "7912458"}, {"ref": "sishihara/python-kaggle-start-book-ch02-03", "kernel_id": "7718480"}, {"ref": "sishihara/python-kaggle-start-book-ch02-01", "kernel_id": "7717773"}, {"ref": "sishihara/python-kaggle-start-book-ch02-02", "kernel_id": "7717889"}, {"ref": "sishihara/python-kaggle-start-book-ch02-04", "kernel_id": "7717997"}, {"ref": "sishihara/python-kaggle-start-book-ch02-05", "kernel_id": "7718019"}, {"ref": "sishihara/python-kaggle-start-book-ch02-06", "kernel_id": "7718095"}, {"ref": "sishihara/python-kaggle-start-book-ch02-07", "kernel_id": "7718150"}, {"ref": "sishihara/python-kaggle-start-book-ch02-08", "kernel_id": "7718347"}, {"ref": "dannyjoann/predicting-survival-on-titanic", "kernel_id": "7578488"}, {"ref": "sandeepbhogaraju/surviving-the-titanic-disaster-tensorflow-model", "kernel_id": "7333785"}, {"ref": "gustavos4bino/exploration-feature-eng-and-ml-model-for-titanic", "kernel_id": "7488650"}, {"ref": "sachingg/titanic-with-ensemble-of-randomforest-xgboost", "kernel_id": "7743469"}, {"ref": "saito38/lab-study", "kernel_id": "7001287"}, {"ref": "imq1987/pytorch-titanic", "kernel_id": "7753408"}, {"ref": "yamazyra/my-first-notebook2", "kernel_id": "7667689"}, {"ref": "hrshtporwal5/titanic-survivors", "kernel_id": "7539371"}, {"ref": "ar8121999/sansa", "kernel_id": "7605561"}, {"ref": "kattamreddy/titanic-survival-prediction", "kernel_id": "7100864"}, {"ref": "thufh2017/kernel745a956347", "kernel_id": "7937972"}, {"ref": "nandeshwar/random-forest-titanic-dataset", "kernel_id": "7140510"}, {"ref": "arindam235/titanic-andyversion", "kernel_id": "7951108"}, {"ref": "macespinoza/titanic-base", "kernel_id": "7700108"}, {"ref": "guanwenw/titanic-tutorial", "kernel_id": "7805663"}, {"ref": "shobhit181/titanic-logistic-regression-with-python", "kernel_id": "7325623"}, {"ref": "paquinho89/survive-or-die-titanic", "kernel_id": "7774700"}, {"ref": "lowzhao/diy-with-numpy-p-survived", "kernel_id": "7251804"}, {"ref": "satya288/swiggy-workshop", "kernel_id": "7051254"}, {"ref": "sharansmenon/titanic-pytorch", "kernel_id": "7639018"}, {"ref": "hiroshifukunari/first-attempt-titanic", "kernel_id": "7309846"}, {"ref": "pamhohhgkgm/logistic-regression", "kernel_id": "7280416"}, {"ref": "raks110/titanic-disaster-survival-detection", "kernel_id": "7107839"}, {"ref": "vikramrajeev/swiggy-workshop", "kernel_id": "7051238"}, {"ref": "tonypeng1/titanic-modeling", "kernel_id": "7891586"}, {"ref": "sadiqueabdullah/titanic-quick-analysis", "kernel_id": "7498656"}, {"ref": "ajith007/swiggy-workshop", "kernel_id": "7051262"}, {"ref": "trangdothuy/kernel588c37a86c", "kernel_id": "7844652"}, {"ref": "yutoricstar/titanic-using-svc", "kernel_id": "7539377"}, {"ref": "meliao/shap-on-titanic-why-is-rose-alive-but-jack-not", "kernel_id": "7378180"}, {"ref": "navendush/titanic-survival-logistic-regression", "kernel_id": "7792536"}, {"ref": "gundamb2/titantic-notebook", "kernel_id": "7315852"}, {"ref": "hironobukawaguchi/kaggle-book-ch01-01-titanic", "kernel_id": "7811596"}, {"ref": "junnsss/binary-classification-tutorial-using-titanic-data", "kernel_id": "7496617"}, {"ref": "onclick3601/comparing-ml-classification-algorithms", "kernel_id": "7711464"}, {"ref": "sumedhss/predict-survival-chances-of-titanic-passengers", "kernel_id": "7536379"}, {"ref": "achmadsaadi/titanic-survival-probability-prediction", "kernel_id": "7367212"}, {"ref": "albersonmiranda/an-interpretable-machine-learning-framework", "kernel_id": "7759193"}, {"ref": "bcantt/new-algorithm", "kernel_id": "7671969"}, {"ref": "idawoodjee/a-beginner-s-analysis-of-the-titanic-dataset", "kernel_id": "7047978"}, {"ref": "ahmedmkhalifa/titanic-with-ml", "kernel_id": "7209917"}, {"ref": "ashish2070/titanic-disaster", "kernel_id": "7813546"}, {"ref": "ashish2070/titanic-survival-predictions-beginner", "kernel_id": "7841666"}, {"ref": "jcardenzana/titanic-pytorch", "kernel_id": "7017384"}, {"ref": "jcardenzana/titanic-tensorflow", "kernel_id": "7029449"}, {"ref": "kasana/titanic-data-science-analysis", "kernel_id": "7869590"}, {"ref": "topchaebol/kernel36404373e0", "kernel_id": "7874702"}, {"ref": "topchaebol/kernel7e68eff179", "kernel_id": "7879946"}, {"ref": "goodot/titanic-mlp-first-steps-in-ml", "kernel_id": "7847459"}, {"ref": "mustafa32/titanic-data-science", "kernel_id": "7900123"}, {"ref": "naveenkumar20102000/titanic-prediction", "kernel_id": "7543646"}, {"ref": "medyasun/beginners-guide-for-visual-stats-of-titanic-data", "kernel_id": "7781879"}, {"ref": "jitendraalim/titanic-survivor-prediction", "kernel_id": "7200354"}, {"ref": "ssathishkumar/titanic-eda-nb", "kernel_id": "7959726"}, {"ref": "oguzhann/titanic-data-analysis", "kernel_id": "7885146"}, {"ref": "roh245/machine-learning-with-titanic-dataset", "kernel_id": "7061794"}, {"ref": "tahirmuslimscientist/importance-of-ensembling-stacking-in-data-science", "kernel_id": "7863568"}, {"ref": "namitdubey/ml-disaster", "kernel_id": "7171627"}, {"ref": "sridatla81/data-analysis-on-titanic-survival", "kernel_id": "7236591"}, {"ref": "zebashaikh/titanic-ml-using-logistic-regression", "kernel_id": "7714291"}, {"ref": "gopiyedla/titanic-predictions-using-xgboost", "kernel_id": "7241172"}, {"ref": "sauravmishra1710/titanic-machine-learning-from-disaster", "kernel_id": "7943966"}, {"ref": "pedroharagao/titanic-predict", "kernel_id": "7719998"}, {"ref": "devleenabanerjee/titanic-disaster-with-logistic-and-random-forest", "kernel_id": "7937339"}, {"ref": "hithesh111/kernel13c856e03f", "kernel_id": "7481879"}, {"ref": "mobelahcen/titanic", "kernel_id": "7834706"}, {"ref": "mocchaso/kernelfa126a824c", "kernel_id": "7510970"}, {"ref": "sureshpro/exploratory-data-analysis-on-the-titanic-dataset", "kernel_id": "7675447"}, {"ref": "shakeebbk/titanic-ml", "kernel_id": "7430374"}, {"ref": "abc95007/titanic-survived-predict", "kernel_id": "7153223"}, {"ref": "umarhabib/analyzing-titanic-data-and-ml-model", "kernel_id": "7892050"}, {"ref": "jacksonthounaojam/titanic-1st-draft", "kernel_id": "7993996"}, {"ref": "jitendramalik/titanic-xgb-random-forest-gradient-boosting-withcv", "kernel_id": "7080203"}, {"ref": "arch08/titanic-feature-engineering-gridsearchcv", "kernel_id": "7981862"}, {"ref": "metehanariman/titanic-eda-metehan", "kernel_id": "7988206"}, {"ref": "mohamedg/fork-of-titanic-training", "kernel_id": "7099129"}, {"ref": "dabizons/titanic-eda", "kernel_id": "7467635"}, {"ref": "ftamur/titanic-disaster", "kernel_id": "7818020"}, {"ref": "rosachoi/data-preparing-modeling", "kernel_id": "7598602"}, {"ref": "johanabrahamsson/titanic-survival-analysis-1", "kernel_id": "7743580"}, {"ref": "zacktack/data-scientist-journey-titanic-survivor", "kernel_id": "7904086"}, {"ref": "samuelkurabachew/titanic-predicting-survivors-beginners-notebook", "kernel_id": "7968149"}, {"ref": "nautiyalamit/titanic-predictions", "kernel_id": "7003871"}, {"ref": "nautiyalamit/in-depth-nearest-neighbor-algorithms", "kernel_id": "7063830"}, {"ref": "hnghi95/fork-of-titanic-nghi-s", "kernel_id": "7241593"}, {"ref": "ehanmire/titinic200213", "kernel_id": "7951434"}, {"ref": "maxwellmendz/myfirstproject-titanic-disaster-dataset", "kernel_id": "7638418"}, {"ref": "srinivasav22/tuning-random-forest-parameters", "kernel_id": "7370958"}, {"ref": "muu4649/titanic", "kernel_id": "7353279"}, {"ref": "misteer/sejong-study-titanic-inclass-competition", "kernel_id": "7026200"}, {"ref": "saxarchit/titanic-predictions", "kernel_id": "7097804"}, {"ref": "janani164/swiggy-workshop", "kernel_id": "7051261"}, {"ref": "vh1981/titanic-lgbm-bo-baseline", "kernel_id": "7848334"}, {"ref": "ssykiotis/solving-titanic-using-deep-learning-and-fast-ai", "kernel_id": "7886929"}, {"ref": "savitaiitr/eda-and-model-building-for-titanic-dataset", "kernel_id": "7885354"}, {"ref": "mashlyn/titanic-super-quick-eda", "kernel_id": "7657016"}, {"ref": "parikshitbangde/taitanic-1", "kernel_id": "7048083"}, {"ref": "nidhi12mishra/swiggy-ds", "kernel_id": "7051251"}, {"ref": "cemsarier/predicting-with-time-saving-ml-class", "kernel_id": "7326561"}, {"ref": "iwasou/titanic-machine-learning-from-disaster", "kernel_id": "7163863"}, {"ref": "princekaushik/titanic-survival-prediction", "kernel_id": "7978512"}, {"ref": "yuta12345/titanic-machine-learning-from-disaster", "kernel_id": "7696485"}, {"ref": "jedunalivia/titanic-dataset-feature-engineered-knn-model", "kernel_id": "7759110"}, {"ref": "climbk49266/kernel2f9591d913", "kernel_id": "7420262"}, {"ref": "sudeeari7/swiggy-workshop", "kernel_id": "7051237"}, {"ref": "harsh1347/titnic-starter", "kernel_id": "7095839"}, {"ref": "sudhakarranjith/first-notebook", "kernel_id": "7680156"}, {"ref": "nizamudma/titanic-survival-data", "kernel_id": "7014503"}, {"ref": "seemant3/getting-started-titanik", "kernel_id": "7659382"}, {"ref": "rajeshradhakrishnan/starting-titanic-myway", "kernel_id": "7037302"}, {"ref": "kaggleurroad/simple-models-for-beginners-with-eda", "kernel_id": "7619185"}, {"ref": "kaggleurroad/titanic-tutorial", "kernel_id": "7767077"}, {"ref": "kaggleurroad/titanic-survival-python-solution", "kernel_id": "7731931"}, {"ref": "kaggleurroad/titanic-data-science-solutions", "kernel_id": "7730506"}, {"ref": "kaggleurroad/titanic-advanced-feature-engineering-tutorial", "kernel_id": "7916804"}, {"ref": "subinium/simple-matplotlib-visualization-tips", "kernel_id": "7701891"}, {"ref": "rigerta/titanic", "kernel_id": "7340011"}, {"ref": "brendan45774/titanic-data-solution", "kernel_id": "7973969"}, {"ref": "ricopue/titanic-with-just-two-features-name-and-ticket", "kernel_id": "7911241"}, {"ref": "samisnotinsane/kernel74c32e8525", "kernel_id": "7945239"}, {"ref": "silvercloud7/titanic-starter", "kernel_id": "7744896"}, {"ref": "alenavorushilova/data-analysis-and-data-visualization-seaborn", "kernel_id": "7973260"}, {"ref": "krishnaswaroopk/introductory-kaggle-session-web-club-practice", "kernel_id": "7359735"}, {"ref": "krishnaswaroopk/introductory-kaggle-session-web-club-test-run", "kernel_id": "7359610"}, {"ref": "myndel/titanic-machine-learning-from-disaster", "kernel_id": "7583950"}, {"ref": "himanshumriu/titanicone", "kernel_id": "7356893"}, {"ref": "khmaruk/titanic-with-3-models", "kernel_id": "7388548"}, {"ref": "mrodii/titanic-by-3-models-eda", "kernel_id": "7377755"}, {"ref": "christoalex/xgboost-for-absolute-beginners", "kernel_id": "7637187"}, {"ref": "christoalex/your-first-ensemble-model-top-5", "kernel_id": "7726483"}, {"ref": "bdebo236/kernel1d4956dc6e", "kernel_id": "7803731"}, {"ref": "scpitt/titanic-notebook-for-beginners", "kernel_id": "7875829"}, {"ref": "scpitt/titanic-parameter-tuning-using-pipeline", "kernel_id": "7921528"}, {"ref": "weslleysilva/titanic-competition", "kernel_id": "7526665"}, {"ref": "mehdisaber/titanic-classification-regression", "kernel_id": "7221793"}, {"ref": "teejmahal20/an-automated-ml-workflow-with-aethos-titanic", "kernel_id": "7609315"}, {"ref": "efradgamer/pelatihan-ke-1-2020", "kernel_id": "7636464"}, {"ref": "sreerag7/titanicship-survivor-classification-decisiontree", "kernel_id": "7229358"}, {"ref": "shaikhannan/titanic-survived", "kernel_id": "7282090"}, {"ref": "bjladika/bjladikatitanicpower", "kernel_id": "7906359"}, {"ref": "hugedin/titanic", "kernel_id": "7906218"}, {"ref": "shwethamalnad/titanic-survival-data-for-beginners", "kernel_id": "7494809"}, {"ref": "plbalmeida/xgboost-for-titanic-dataset", "kernel_id": "7036325"}, {"ref": "shubhambaghel/titanic-data-basic-eda-and-modelling-for-beginners", "kernel_id": "7334298"}, {"ref": "jaspritkaur2920/titanic-disaster-prediction", "kernel_id": "7199685"}, {"ref": "mehmetbicici/titanic-eda-ml", "kernel_id": "7903374"}, {"ref": "meetpatel01/titanic-machine-learning-from-disaster-kernal", "kernel_id": "7889181"}, {"ref": "bakirofff/myfirstnotebookinkaggle", "kernel_id": "7100707"}, {"ref": "muhammetcakmak/start-here-titanic-project-from-beginner-to-expert", "kernel_id": "7996450"}, {"ref": "abhishekasingh/simple-logistic-model", "kernel_id": "7961237"}, {"ref": "purpleyupi/titanic-getting-started", "kernel_id": "7830957"}, {"ref": "rajkhona11/1stclassificationproject-titanic", "kernel_id": "7402991"}, {"ref": "vaibhavsxn/titanic-starters", "kernel_id": "7555865"}, {"ref": "etsc9287/an-introduction-to-statistics-in-python", "kernel_id": "7700792"}, {"ref": "nuradilk/kernel48aa2e3e57", "kernel_id": "7032702"}, {"ref": "carlaicd/getting-started", "kernel_id": "7645972"}, {"ref": "ihsncnkz/titanic-eda-first", "kernel_id": "7913309"}, {"ref": "vahidsa/titanic", "kernel_id": "7961884"}, {"ref": "saga21/titanic-comp-extensive-workflow-xgb-top-3", "kernel_id": "7006399"}, {"ref": "mvpereira82/kernel2f0066864b", "kernel_id": "7833248"}, {"ref": "sumitkumardash/getting-started-with-titanic", "kernel_id": "7755280"}, {"ref": "satzcoder/getting-started-with-titanic", "kernel_id": "7332626"}, {"ref": "satzcoder/titanic-top-4-with-ensemble-modeling", "kernel_id": "7938798"}, {"ref": "m19111/titanic-solution-using-logistic-svm-gaussiannb", "kernel_id": "7744157"}, {"ref": "mikeaalv/titanic-competition", "kernel_id": "7365505"}, {"ref": "maniramu47/getting-started-with-ml", "kernel_id": "7319909"}, {"ref": "burhanara/titanic-competition", "kernel_id": "7283625"}, {"ref": "abdelkrimbeg/titanic-compitition-with-random-forest", "kernel_id": "7997672"}, {"ref": "sanjogyadav/titanic-solution-glm", "kernel_id": "7770899"}, {"ref": "sanjogyadav/titanic-solution-rfc", "kernel_id": "7770915"}, {"ref": "karanagg3355/titanic", "kernel_id": "7283471"}, {"ref": "ozenc499/titanic-competition", "kernel_id": "7902484"}, {"ref": "musicpianoljy/classification-titanic", "kernel_id": "7316588"}, {"ref": "nyjoey/titanic-rf-and-nn", "kernel_id": "7296673"}, {"ref": "krepker/an-lise-do-naufr-gio-do-titanic", "kernel_id": "7832000"}, {"ref": "nkovida/prediction-with-titanic-dataset", "kernel_id": "7522773"}, {"ref": "zainaali/titanic-analysis-visualization", "kernel_id": "7812754"}, {"ref": "shubxam/titanic-problem-solution-kernel", "kernel_id": "7063419"}, {"ref": "flookyteeco2005/getting-started-with-titanic", "kernel_id": "7498257"}, {"ref": "samiranbera/titanic-survivors", "kernel_id": "7829760"}, {"ref": "baijayanti94/titanic-eda-python", "kernel_id": "7077950"}, {"ref": "liwenqingi/titanic-stacking-ensemble-blender", "kernel_id": "7737108"}, {"ref": "abhi2nie/ml-1st-project", "kernel_id": "7149305"}, {"ref": "latteice/japanese", "kernel_id": "7042141"}, {"ref": "mohitjamwal/my-first-prediction", "kernel_id": "7633070"}, {"ref": "fareesamasroor/ecg-with-neural-nets", "kernel_id": "7417149"}, {"ref": "lizborges/titanic-tutorial", "kernel_id": "7596357"}, {"ref": "sudipkandel123/first-kaggle-notebook", "kernel_id": "7523961"}, {"ref": "sudipkandel123/features-and-ml-algorithm-selection-for-titanic", "kernel_id": "7548877"}, {"ref": "praveshku/titanic-data-analysis", "kernel_id": "7726218"}, {"ref": "naokimiyaguchi/random-forest", "kernel_id": "7794983"}, {"ref": "mohamedeijy/intro-to-ml-titanic", "kernel_id": "7892371"}, {"ref": "dt6256/basic-note-book-for-titanic-dataset", "kernel_id": "7383316"}, {"ref": "leosuky/titanic-competition", "kernel_id": "7544742"}, {"ref": "brijesh41/titaniceditone", "kernel_id": "7079101"}, {"ref": "aqsaqadir22/titanic-data", "kernel_id": "7769845"}, {"ref": "aizardar/predicting-survival-titanic-disaster", "kernel_id": "7813882"}, {"ref": "hemantbhora/titanic-competition-data-wrangling-visualisation", "kernel_id": "7250504"}, {"ref": "xopxesalmon/naive-bayes-classifier-from-scratch", "kernel_id": "7674588"}, {"ref": "federicourones/titanic-first-attempt", "kernel_id": "7051626"}, {"ref": "rishitdagli/titanic-prediction-using-9-algorithims-top-1", "kernel_id": "7339396"}, {"ref": "aku0810/kaggle-titanic007", "kernel_id": "7434232"}, {"ref": "nikhilawp/titanic1", "kernel_id": "7926469"}, {"ref": "shasai/titanic-one-liner-by-tidyverse-and-pipe", "kernel_id": "7395040"}, {"ref": "yananhe/titanic-ml", "kernel_id": "7810728"}, {"ref": "amypeniston/titanic-simple-gender-family-group-model", "kernel_id": "7509424"}, {"ref": "amypeniston/titanic-exploratory-data-analysis", "kernel_id": "7482038"}, {"ref": "vitorefazevedo/titanic-challenge", "kernel_id": "7717053"}, {"ref": "yoni2k/top-3-with-only-4-features-no-data-leakage", "kernel_id": "7338334"}, {"ref": "scpepper/titanic-sample001", "kernel_id": "7989231"}, {"ref": "umeshdadde/swiggyworkshop", "kernel_id": "7051256"}, {"ref": "avramandrei96/titanic-top-10-simple-neural-network", "kernel_id": "7557531"}, {"ref": "cdaman/titanic", "kernel_id": "7048249"}, {"ref": "carsons/titanic-with-classifiers", "kernel_id": "7028988"}, {"ref": "dcpatton/titanic-rnn", "kernel_id": "7889135"}, {"ref": "kushbhatnagar/guidefornewbie-eda-featureeng-modeling-evaluation", "kernel_id": "7649711"}, {"ref": "yashrathi96/step-by-step-solving-titanic-problem", "kernel_id": "7723477"}, {"ref": "musonda2day/titanic-prediction", "kernel_id": "7020358"}, {"ref": "tauqeersajid/titanic", "kernel_id": "7049952"}, {"ref": "gautamgupta1811/kernel3865f0685c", "kernel_id": "7485313"}, {"ref": "atharva32/titanic-dataset", "kernel_id": "7126416"}, {"ref": "clover1qq5/taitanic", "kernel_id": "7604934"}, {"ref": "clover1qq5/9th-titanic2-heominsuk", "kernel_id": "7968837"}, {"ref": "clover1qq5/9th-titanic-heominsuk", "kernel_id": "7968197"}, {"ref": "clover1qq5/8th-titanic-heominsuk", "kernel_id": "7957348"}, {"ref": "clover1qq5/7th-titanic-heominsuk", "kernel_id": "7950467"}, {"ref": "clover1qq5/6th-titanic-heominsuk", "kernel_id": "7940928"}, {"ref": "clover1qq5/4th-titanic", "kernel_id": "7928265"}, {"ref": "clover1qq5/5th-titanic-heominsuk", "kernel_id": "7928636"}, {"ref": "clover1qq5/3rd-titanic", "kernel_id": "7928075"}, {"ref": "clover1qq5/2nd-titanic", "kernel_id": "7927627"}, {"ref": "kaleikaumaka1991/titanic-beginner", "kernel_id": "7891678"}, {"ref": "faressayah/logistic-regression-for-binary-classification-task", "kernel_id": "7284367"}, {"ref": "faressayah/data-science-best-practices-with-pandas-part-3", "kernel_id": "7024839"}, {"ref": "faressayah/hyperparameter-optimization-for-machine-learning", "kernel_id": "7041987"}, {"ref": "faressayah/k-means-clustering-private-vs-public-universities", "kernel_id": "7359980"}, {"ref": "faressayah/knneighbors-private-vs-public-universities", "kernel_id": "7363536"}, {"ref": "sagara9595/fork-of-ml-from-titanic-disaster-logistic-reg", "kernel_id": "7455636"}, {"ref": "komalaftab/titantic-ml-top-17", "kernel_id": "7781812"}, {"ref": "mmmarchetti/machine-learning-for-beginners", "kernel_id": "7032477"}, {"ref": "hiagow/getting-started-with-titanic-svm", "kernel_id": "7698395"}, {"ref": "hiagow/getting-started-with-titanic-randomforest", "kernel_id": "7584867"}, {"ref": "anshky/titanic-1", "kernel_id": "7816097"}, {"ref": "karakusfurkan/furkan-titanic-eda", "kernel_id": "7983214"}, {"ref": "mamo123/titanic-machine-learning-from-disaster", "kernel_id": "7974133"}, {"ref": "mahaveer999/kernel4a894a201b", "kernel_id": "7545077"}, {"ref": "gauthampughazh/titanic-survival-prediction-pandas-plotly-keras", "kernel_id": "7470053"}, {"ref": "akashkash/titanic-ml", "kernel_id": "7877269"}, {"ref": "sumit189/titanic-with-svm", "kernel_id": "7275757"}, {"ref": "heator/kernel-titanic", "kernel_id": "7511811"}, {"ref": "vigneshkarunagaran/beginer-s-model", "kernel_id": "7869062"}, {"ref": "harrymi/titanic-prediction", "kernel_id": "7564995"}, {"ref": "agaddis02/titanic-comp", "kernel_id": "7915845"}, {"ref": "alexanderklarge/concise-clean-code-for-productivityboyz", "kernel_id": "7542303"}, {"ref": "mukeshmeena/titanic-dataset-0", "kernel_id": "7471978"}, {"ref": "satyapalsingh/best-titanic-survival-prediction-for-beginners", "kernel_id": "7203243"}, {"ref": "satyapalsingh/kernel2f948f2e5b", "kernel_id": "7203054"}, {"ref": "arifali77/a-comprehensive-ml-workflow-with-python", "kernel_id": "7450263"}, {"ref": "gauth42/titanic-competition-dive-into-ml-competition", "kernel_id": "7781988"}, {"ref": "anushakarthik1991/titanic-surv-pred2", "kernel_id": "7622039"}, {"ref": "anushakarthik1991/titanic-prediction", "kernel_id": "7635770"}, {"ref": "jindalnishant/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899505"}, {"ref": "nflrijal/titanic-predictions", "kernel_id": "7839055"}, {"ref": "saumilg/kaggle-titanic-competition", "kernel_id": "7746910"}, {"ref": "carletonai/carleton-ai-ml-on-titanic-dataset-1", "kernel_id": "7471840"}, {"ref": "robert333/titanic-decisiontree", "kernel_id": "7739004"}, {"ref": "reighns/tutorial-on-machine-learning-metrics", "kernel_id": "7073396"}, {"ref": "badwoman/titanic", "kernel_id": "7629397"}, {"ref": "souro12/titanic-survival-prediction", "kernel_id": "7342859"}, {"ref": "isunil/titanic-using-keras", "kernel_id": "7557960"}, {"ref": "bhaskarkishor/titanic-for-learning", "kernel_id": "7562840"}, {"ref": "mclods/my-titanic-model-svm-rbf", "kernel_id": "7290396"}, {"ref": "walras/titanic", "kernel_id": "7787728"}, {"ref": "nandandutta/titanic-machine-learning-from-disaster", "kernel_id": "7608130"}, {"ref": "mmanohar10/kernel12638fa613", "kernel_id": "7514413"}, {"ref": "sjayashree/titanic", "kernel_id": "7887849"}, {"ref": "vishal146/social-media-netwoks-ads-dtreeclassfication", "kernel_id": "7925095"}, {"ref": "vishal146/titanic-ml-from-disaster", "kernel_id": "7744850"}, {"ref": "sagaramu/simple-model-building", "kernel_id": "7940761"}, {"ref": "alamjane61/titanic-data", "kernel_id": "7068297"}, {"ref": "alamjane61/titanic-logistic-regression", "kernel_id": "7096770"}, {"ref": "sayedhashim/titanic", "kernel_id": "7692146"}, {"ref": "falcon3327/titanic-logisticregression", "kernel_id": "7691720"}, {"ref": "falcon3327/titannic-linearregression", "kernel_id": "7665871"}, {"ref": "daenys2000/titanic-classifier", "kernel_id": "7308503"}, {"ref": "daenys2000/titanic-model-linear-regression", "kernel_id": "7226923"}, {"ref": "eliasgreen/fork-of-titanic-final", "kernel_id": "7049416"}, {"ref": "momilijaz1996/myfirstkagglekernel", "kernel_id": "7199477"}, {"ref": "choithuthoi/titanic-quick", "kernel_id": "7828971"}, {"ref": "nabiyevnabi/what-kind-of-people-is-more-likely-to-survive", "kernel_id": "7450451"}, {"ref": "marcovasquez/useful-html-for-jupyter-notebook", "kernel_id": "7360802"}, {"ref": "somesh25171/kernel698fd0a013", "kernel_id": "7701622"}, {"ref": "mcarujo/titanic-competition", "kernel_id": "7346772"}, {"ref": "mcarujo/reservation-cancel-prediction", "kernel_id": "7901035"}, {"ref": "akshaymalviya/titanic-survival-problem", "kernel_id": "7150804"}, {"ref": "saraalizadeh/getting-started-with-titanic2", "kernel_id": "7864375"}, {"ref": "sabya40/titanic", "kernel_id": "7234133"}, {"ref": "bbpatil/kernel9c57f5d2f2", "kernel_id": "7492785"}, {"ref": "marinaramalhete/titanic-survived", "kernel_id": "7946536"}, {"ref": "kunleadeniyi/titanic-neural-network", "kernel_id": "7421232"}, {"ref": "irfanakgul/titanic-data-manipulation", "kernel_id": "7487055"}, {"ref": "mgmoorthy/titanic-set", "kernel_id": "7981861"}, {"ref": "nehalmahida21/getting-started-with-titanic", "kernel_id": "7210010"}, {"ref": "faaazn/titanic-with-xgboost", "kernel_id": "7298464"}, {"ref": "shivrajthutte/titanic-machine-learning-form-disaster", "kernel_id": "7541467"}, {"ref": "gatunnopvp/survivers-prediction-top-6-with-decision-trees", "kernel_id": "7239122"}, {"ref": "victorpr93/titanic-classification-problem-beginner", "kernel_id": "7999551"}, {"ref": "mraghav/kernel1e3d28ed81", "kernel_id": "7051246"}, {"ref": "ppvalluri09/titanic-survivors", "kernel_id": "7433097"}, {"ref": "sudhan2709/kernel51773d6077", "kernel_id": "7050626"}, {"ref": "rajat2341/titanic-eda-model", "kernel_id": "7809754"}, {"ref": "isayasasin/isayssn-titanic", "kernel_id": "7814416"}, {"ref": "rashmigrp/titanic-eda-prediction-using-keras", "kernel_id": "7805192"}, {"ref": "khizarsultan/titanic-solution", "kernel_id": "7532151"}, {"ref": "rodolffoterra/titanic", "kernel_id": "7947047"}, {"ref": "iamrohitsingh/titanic-visualization-prediction", "kernel_id": "7080147"}, {"ref": "niteshsc/myfirstkernel", "kernel_id": "7051252"}, {"ref": "soumil99/titanic-attempts", "kernel_id": "7113707"}, {"ref": "abhishekpypractice/titanic-classification-regression", "kernel_id": "7098284"}, {"ref": "henrychoi1109/random-forest-for-titanic-dataset", "kernel_id": "7483788"}, {"ref": "surajkiran1/swiggyworkshop", "kernel_id": "7051255"}, {"ref": "yuuuusuke1997/taitanic-solutions", "kernel_id": "7977948"}, {"ref": "fnguyen/titanicrising-a-xgb-classifier-in-r-for-beginners", "kernel_id": "7744996"}, {"ref": "tsubasatwi/basic-traing-titanic-tsubasa", "kernel_id": "7981961"}, {"ref": "skhangjarakpam/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899551"}, {"ref": "priyankanautiyal/priyanka-nau-notebook-version3", "kernel_id": "7446611"}, {"ref": "melihkanbay/datai-team-titanik", "kernel_id": "7809514"}, {"ref": "khushi08/titanic-survival-prediction", "kernel_id": "7987849"}, {"ref": "nikilreddy/titanic-ml-from-disaster-svm", "kernel_id": "7883039"}, {"ref": "gshanbhga525/my-first-kernel", "kernel_id": "7051233"}, {"ref": "onuralpsisman/exercise-data-analysis-for-titanic", "kernel_id": "7860937"}, {"ref": "datasciencepassion/titanic-classification-model", "kernel_id": "7588073"}, {"ref": "alice815/top-9-with-simple-model", "kernel_id": "7959083"}, {"ref": "nickteim/tanticni", "kernel_id": "7213090"}, {"ref": "arpitkumaragarwal/titanic-notebook", "kernel_id": "7653751"}, {"ref": "newyearseveriots1959/titanic-first", "kernel_id": "7867212"}, {"ref": "xuzihan/master", "kernel_id": "7000072"}, {"ref": "azerski/titanic-test", "kernel_id": "7281887"}, {"ref": "ravichouhan/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899549"}, {"ref": "joshuajhchoi/101-data-visualization-tips-for-titanic-beginners", "kernel_id": "7792036"}, {"ref": "joshuajhchoi/101-pandas-tips-for-beginners-titanic-en-kr", "kernel_id": "7723651"}, {"ref": "joshuajhchoi/titanic-tutorial-for-absolute-beginners-kr-en", "kernel_id": "7615507"}, {"ref": "joshuajhchoi/titanic-tutorial-for-absolute-beginners-en", "kernel_id": "7282736"}, {"ref": "joshuajhchoi/titanic-v3", "kernel_id": "7258897"}, {"ref": "leledan/titanic2", "kernel_id": "7407205"}, {"ref": "joelpires/titanic-exploratory-data-analysis", "kernel_id": "7204220"}, {"ref": "harikishanm96/swiggy-workshop", "kernel_id": "7051250"}, {"ref": "layahaasini/my-first-ml-model-d", "kernel_id": "7958434"}, {"ref": "adegladius/data-engineering-of-titanic-raw-data-test-data", "kernel_id": "7955894"}, {"ref": "shymammoth/logistic-regression", "kernel_id": "7992701"}, {"ref": "dpm8800/cap5610-daniel-mariano", "kernel_id": "7690278"}, {"ref": "androbomb/simple-nn-with-python-multi-layer-perceptron", "kernel_id": "7017553"}, {"ref": "purnachandsaladi/descision-tree-on-titanic-data", "kernel_id": "7107337"}, {"ref": "ujansen/carleton-ai-ml-on-titanic-dataset", "kernel_id": "7397218"}, {"ref": "yunusemreyucel22/titanic-with-votingclassifier-my-first-kernel", "kernel_id": "7215495"}, {"ref": "morchhlay22/titanic-2020", "kernel_id": "7716539"}, {"ref": "arjasepp/titanic-competition-from-beginner-to-beginner", "kernel_id": "7677885"}, {"ref": "vipin20/titanic-exploratory-data-analysis-cleaning", "kernel_id": "7838690"}, {"ref": "trivikramu/titainic-using-naivebayes-knn", "kernel_id": "7983036"}, {"ref": "hyewoin/1-exploratory-data-analysis-visualiza", "kernel_id": "7284589"}, {"ref": "statsakash/titanic-machine-learning", "kernel_id": "7702359"}, {"ref": "llleedh/titanic-for-beginner", "kernel_id": "7416031"}, {"ref": "tschomacker/titanic-machine-learning-from-disaster", "kernel_id": "7932527"}, {"ref": "huanqin/titanic-project", "kernel_id": "7596816"}, {"ref": "laurencewilliams/ml-titanic", "kernel_id": "7899076"}, {"ref": "b4s4umanth/data-visualization", "kernel_id": "7703540"}, {"ref": "b4s4umanth/kernel9650ec13eb", "kernel_id": "7697261"}, {"ref": "mygrade100/kernel69eb698058", "kernel_id": "7541578"}, {"ref": "karthisena/ml-with-titanic-v1-0", "kernel_id": "7805801"}, {"ref": "caiomacedo/getting-started-with-titanic", "kernel_id": "7836320"}, {"ref": "caigeorgenowicki/kernel6391e27d5d", "kernel_id": "7025004"}, {"ref": "dmitryrusnak/titanic-top-3-cluster-analysis", "kernel_id": "7955636"}, {"ref": "katsu18/titanic", "kernel_id": "7220062"}, {"ref": "omrastogi/titanic-dataset", "kernel_id": "7801313"}, {"ref": "omrastogi/titanic-ensemble-model", "kernel_id": "7846781"}, {"ref": "anaskamel/titanic-logistic-regression-classification", "kernel_id": "7472891"}, {"ref": "darashina/titanic", "kernel_id": "7701584"}, {"ref": "maniartist/titanic-ensemble-modeling-study", "kernel_id": "7943853"}, {"ref": "shivampshah/titanic", "kernel_id": "7837940"}, {"ref": "thunder2901/titanic-ml", "kernel_id": "7800182"}, {"ref": "viniciusdeolindo/py-titanic-feature-engineering-and-ml", "kernel_id": "7944901"}, {"ref": "viniciusdeolindo/r-titanic-modeling-gbm-with-h2o", "kernel_id": "7946437"}, {"ref": "manlunglo/super-short-automl-model-for-titanic", "kernel_id": "7354655"}, {"ref": "rajanpatel1995/titanic", "kernel_id": "7523824"}, {"ref": "ar851060/first-competition-with-machine-learning", "kernel_id": "7281282"}, {"ref": "rishabhm76/logistic-regression-for-titanic-dataset", "kernel_id": "7844525"}, {"ref": "captainlazarus/bayes-titanic", "kernel_id": "7651073"}, {"ref": "hpchreseson/knn-titanic", "kernel_id": "7564394"}, {"ref": "sureshkothakota/titanic-dataset", "kernel_id": "7794346"}, {"ref": "priyankabnl/titanic-dataset-predictions", "kernel_id": "7530281"}, {"ref": "thomasjmolloy/titanic-competition", "kernel_id": "7835207"}, {"ref": "ryokawada/titanic", "kernel_id": "7644180"}, {"ref": "meetmerchant/my-first-notebook-the-titanic", "kernel_id": "7983672"}, {"ref": "suvarnaborse/titanic-data", "kernel_id": "7560484"}, {"ref": "azuremis/getting-started-with-titanic", "kernel_id": "7611212"}, {"ref": "jeeva2812/titanic", "kernel_id": "7174180"}, {"ref": "thilotosanchez/titanic-machine-learning-from-disaster", "kernel_id": "7559140"}, {"ref": "dlrlghd96/kernel3de4e2c725", "kernel_id": "7728598"}, {"ref": "dariiamykhailyshyna/exploring-titanic-data-with-logistic-regression", "kernel_id": "7259439"}, {"ref": "stevensmiley/stevensmiley-kaggle-competition-titanic", "kernel_id": "7276210"}, {"ref": "yasemnsolmaz/solmazy-titanic-eda", "kernel_id": "7926218"}, {"ref": "ssakkshii/visual-data-story-of-the-titanic", "kernel_id": "7702262"}, {"ref": "naoualsmaili/titanic-notebook", "kernel_id": "7609380"}, {"ref": "kentashoji/titanic", "kernel_id": "7371965"}, {"ref": "gauravkumar462/titanic-survived-or-not", "kernel_id": "7490531"}, {"ref": "utkzas/doobte-ko-titanic-ka-sahara", "kernel_id": "7238822"}, {"ref": "leeclemens/kernel25de5d9b64", "kernel_id": "7166317"}, {"ref": "huseyinefe/titanic-with-logistic-regression", "kernel_id": "7685603"}, {"ref": "berkayevirgen/titanic-analyse", "kernel_id": "7835485"}, {"ref": "guozhuoning/titanic", "kernel_id": "7913261"}, {"ref": "faaduplayer/kernel42e9456d74", "kernel_id": "7584455"}, {"ref": "ggarciacastany/getting-started-with-titanic", "kernel_id": "7004756"}, {"ref": "pnvlakshminarayana/kernel50cde59562", "kernel_id": "7321672"}, {"ref": "guldenyildirim/titanic", "kernel_id": "7339503"}, {"ref": "tachyon777/tach-processed", "kernel_id": "7807203"}, {"ref": "wasshoy/titanic-2", "kernel_id": "7030946"}, {"ref": "rorygold/titanic-neural-network-with-randomized-search", "kernel_id": "7559595"}, {"ref": "sreerajr11/titanic-for-beginers", "kernel_id": "7934537"}, {"ref": "manaswinibajpai/kernel7f576cbc53", "kernel_id": "7050043"}, {"ref": "jiaming21/titanic-data-science-solutions-beginner-level", "kernel_id": "7469494"}, {"ref": "aamir222686/titanic-dataset-prediction", "kernel_id": "7019928"}, {"ref": "constancegoulo/gouelo-submission", "kernel_id": "7824658"}, {"ref": "yurychernyshov/solve-titanic-task-with-clf-s-from-sklearn", "kernel_id": "7213045"}, {"ref": "wenjuanxie/first-prediction-for-titanic", "kernel_id": "7209858"}, {"ref": "saurabhkumar3400/fork-of-kernela1db4b43d1-554590", "kernel_id": "7688181"}, {"ref": "noelkim/eda-to-prediction-dietanic", "kernel_id": "7735924"}, {"ref": "datacodebr/cdd-titanic-code", "kernel_id": "7184501"}, {"ref": "anupchandratre/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899547"}, {"ref": "lukaszborecki/titanic-sklearn", "kernel_id": "7399021"}, {"ref": "lmaterne/xgb-pol-feat3", "kernel_id": "7720919"}, {"ref": "lmaterne/start", "kernel_id": "7718110"}, {"ref": "volodymyrholomb/titanic-basic-ml-with-feature-engineering-r", "kernel_id": "7669310"}, {"ref": "iwakiriyoshiaki/kernel20bd84a114", "kernel_id": "7702484"}, {"ref": "sglee487/tf2-1", "kernel_id": "7632812"}, {"ref": "vladislavslevin/ml-framework-collection-titanic", "kernel_id": "7128554"}, {"ref": "abhinavkulshreshth/titanic-model", "kernel_id": "7522883"}, {"ref": "atripathi3675/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899533"}, {"ref": "enyousim/kernel6870b186f9", "kernel_id": "7784373"}, {"ref": "ravinderkotwal/predicting-survival-on-titanic-dataset", "kernel_id": "7602363"}, {"ref": "daxtar/data-science-journey", "kernel_id": "7065429"}, {"ref": "anand819/first-kernel", "kernel_id": "7048852"}, {"ref": "ahmedjyad/titanic-data-set-using-decision-trees-and-cv", "kernel_id": "7271303"}, {"ref": "fkdplc/titanic-survival-prediction", "kernel_id": "7642032"}, {"ref": "janunaik/kernel219737a545", "kernel_id": "7212510"}, {"ref": "antoniomontilla/titanic-ant", "kernel_id": "7530385"}, {"ref": "matthieumalric/titanic-competition", "kernel_id": "7656227"}, {"ref": "amalmatouk/use-ann-to-predict", "kernel_id": "7244477"}, {"ref": "flutcla/titanic-first-try", "kernel_id": "7265252"}, {"ref": "lucaselias/ml-titanic", "kernel_id": "7530611"}, {"ref": "aryapulkit/titanic", "kernel_id": "7353855"}, {"ref": "zjbeliever/titanic", "kernel_id": "7048619"}, {"ref": "mueezjavaidhashmi/kerneld65949be32", "kernel_id": "7052441"}, {"ref": "utkarsharya/knn-algo", "kernel_id": "7897106"}, {"ref": "utkarsharya/titanic-final", "kernel_id": "7894348"}, {"ref": "hakobdanielyan/sargis-verdyan", "kernel_id": "7017953"}, {"ref": "giniya/titanic-01", "kernel_id": "7850870"}, {"ref": "abikshitnayak/avi-titanic", "kernel_id": "7234685"}, {"ref": "anshagrawal93/titanic-dataset", "kernel_id": "7255778"}, {"ref": "bhargavpurohit/titanic-top-6-using-only-random-forest", "kernel_id": "7921018"}, {"ref": "donyuli/titanic-with-tensorflow-keras", "kernel_id": "7149444"}, {"ref": "kangseongkim/titanic-advanced-feature-engineering-tutorial", "kernel_id": "7856394"}, {"ref": "soshianthazar/basic-operations", "kernel_id": "7683960"}, {"ref": "souvik251/random-forest-benchmark-r", "kernel_id": "7253272"}, {"ref": "phinguyen00/titanic-dataset", "kernel_id": "7008159"}, {"ref": "fvsdfsdfdsf/kernel59b697e628", "kernel_id": "7009140"}, {"ref": "shaiwalbajpai/titanic-analysis-of-survived", "kernel_id": "7331551"}, {"ref": "nihalsinghverma/titanic-analysis", "kernel_id": "7816530"}, {"ref": "jarjarbinks92/titanic-predictions", "kernel_id": "7419758"}, {"ref": "shivanigiri/ml-beginner", "kernel_id": "7502069"}, {"ref": "jakubsolis/getting-started-with-titanic", "kernel_id": "7243157"}, {"ref": "andynath/titanic-survival-exploration-decisiontree-and-ann", "kernel_id": "7801086"}, {"ref": "fusshandschuhe/titanic-data-science-solutions", "kernel_id": "7470209"}, {"ref": "ruanpretorius/titanic-neural-net-3-layers", "kernel_id": "7043018"}, {"ref": "konstadinoslampridis/wipframework", "kernel_id": "7044854"}, {"ref": "ht0919/kernel30837ed526", "kernel_id": "7043370"}, {"ref": "yuvarajv12/titanic-machine-learning", "kernel_id": "7422069"}, {"ref": "nathanclark/titanic-testing", "kernel_id": "7427204"}, {"ref": "kennithroshan/wrkshop", "kernel_id": "7051270"}, {"ref": "niteshsethia/nitesh-notebook", "kernel_id": "7051258"}, {"ref": "gowthamreddybattula/swiggyworkshop", "kernel_id": "7051365"}, {"ref": "tejasrao3/swiggyworkshop-tejas", "kernel_id": "7051267"}, {"ref": "deeptichourasia/myfirst-kernel", "kernel_id": "7051235"}, {"ref": "preesar/how-to-sink-more-ships", "kernel_id": "7051247"}, {"ref": "kumarsange/myfirstcode", "kernel_id": "7051263"}, {"ref": "jensverhoeven/titanic-code", "kernel_id": "7052387"}, {"ref": "rikideguchi/my-first-analysis-trial", "kernel_id": "7927815"}, {"ref": "naveendangeti/titanic-survival-predictions", "kernel_id": "7064107"}, {"ref": "yandextaxi/kernel47e6405d3a", "kernel_id": "7209316"}, {"ref": "yandextaxi/kernel3af0e03e15", "kernel_id": "7137482"}, {"ref": "yandextaxi/kernel5d2b14f648", "kernel_id": "7153592"}, {"ref": "mervebircan/titanic", "kernel_id": "7112475"}, {"ref": "ragulshan/titanic-comprehensive-eda-to-ml", "kernel_id": "7482346"}, {"ref": "josephmaffei/predicting-survival-from-the-titanic", "kernel_id": "7068491"}, {"ref": "harip98/housing-price-prediction-notebook", "kernel_id": "7959951"}, {"ref": "touchihao/kernel2747d06f64", "kernel_id": "7096093"}, {"ref": "harpreetkaurmahant/titanic-first-data-science-project", "kernel_id": "7360534"}, {"ref": "mohitkhanna15/kernel2e5f9e9c1c", "kernel_id": "7757128"}, {"ref": "adityabajaj/titanic-problem-2", "kernel_id": "7435492"}, {"ref": "gokulmenon/titanic", "kernel_id": "7080940"}, {"ref": "atsoca/atsoca-titanic", "kernel_id": "7098359"}, {"ref": "alishahkhan/pp-titanic-project", "kernel_id": "7189871"}, {"ref": "jakobklsch/titanic-voting-playground", "kernel_id": "7135241"}, {"ref": "pchandrashekhar/titanic-amma", "kernel_id": "7116110"}, {"ref": "abhaysingh19/how-to-survive-the-titanic", "kernel_id": "7140753"}, {"ref": "kenshinakamura/titanic", "kernel_id": "7729620"}, {"ref": "ayonroy/firstkagglenotebook", "kernel_id": "7143139"}, {"ref": "harshad1729/harshad-titanic-02-01-2020", "kernel_id": "7334266"}, {"ref": "zacharytanverakul/titanic-zach", "kernel_id": "7135493"}, {"ref": "viveknayak/first-try", "kernel_id": "7946557"}, {"ref": "viveknayak/second-notebook-eda", "kernel_id": "7969632"}, {"ref": "ravindrar/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899542"}, {"ref": "prabhavsingh/titanic", "kernel_id": "7548058"}, {"ref": "mananrekhi/kernel13654b9761", "kernel_id": "7828400"}, {"ref": "anaverageengineer/titanic-basic-model-for-freshers", "kernel_id": "7203509"}, {"ref": "sakilansari/kernel1d6911ee41", "kernel_id": "7209417"}, {"ref": "darrylyunussulistyan/titanic-basic-ml-using-svm", "kernel_id": "7914912"}, {"ref": "anbu3003/titanic", "kernel_id": "7373137"}, {"ref": "cyrilpjoseph/titanic-dataset", "kernel_id": "7210418"}, {"ref": "hectorfranc/titanic-competition-desicion-tree", "kernel_id": "7279058"}, {"ref": "hectorfranc/titanic-competition-logistic-regression", "kernel_id": "7275459"}, {"ref": "gauraviiitian/three-hours-titanic-survivors-prediction", "kernel_id": "7207024"}, {"ref": "ajaygartia/kernel191697561f", "kernel_id": "7734116"}, {"ref": "adigautam/kernelcaeba3a2ef", "kernel_id": "7335116"}, {"ref": "amitbhansali/knn-lgb", "kernel_id": "7373855"}, {"ref": "madisoncarpenter/titanic-dataset", "kernel_id": "7234482"}, {"ref": "mdmahmudferdous/titanic-survivor-prediction-0-804-top-8", "kernel_id": "7209014"}, {"ref": "winston1214/titanic-first-kaggle", "kernel_id": "7955257"}, {"ref": "jacquelinehsteen/titanic", "kernel_id": "7509053"}, {"ref": "ieeeutsb/titanic-classification-regression", "kernel_id": "7223821"}, {"ref": "saeedasadi/titanic-classification-regression-dfc9b3", "kernel_id": "7438197"}, {"ref": "saraahmadimajd/titanic-data-science-solutions", "kernel_id": "7309468"}, {"ref": "matheuscampanini/titanic-survivals-model", "kernel_id": "7904454"}, {"ref": "ashwinpednekar/beginner-titanic-logistic-regression", "kernel_id": "7265875"}, {"ref": "nikhilsain/titanic", "kernel_id": "7253755"}, {"ref": "surendrakarna/feature-engineering-titanic-survival", "kernel_id": "7249421"}, {"ref": "surendrakarna/data-visualization-titanic-survival", "kernel_id": "7250514"}, {"ref": "gopalpatro/feature-engineering-titanic-survival", "kernel_id": "7249420"}, {"ref": "gopalpatro/myfirstnotebook", "kernel_id": "7248545"}, {"ref": "gopalpatro/data-visualization-titanic-survival", "kernel_id": "7250510"}, {"ref": "maheshkaranth/mahesh-data-visualization-titanic-survival", "kernel_id": "7250506"}, {"ref": "maheshkaranth/my-feature-engineering-titanic-survival", "kernel_id": "7249419"}, {"ref": "madhurihr/myfirstnotebook", "kernel_id": "7248523"}, {"ref": "madhurihr/data-visualization-titanic-survival", "kernel_id": "7250507"}, {"ref": "madhurihr/feature-engineering-titanic-survival", "kernel_id": "7249433"}, {"ref": "pannagaj/data-visualization-titanic-survival", "kernel_id": "7250511"}, {"ref": "pannagaj/feature-engineering-titanic-survival", "kernel_id": "7249423"}, {"ref": "pannagaj/my-first-notebook", "kernel_id": "7248518"}, {"ref": "pujakarki/titanic-advanced-feature-engineering-tutorial", "kernel_id": "7623208"}, {"ref": "sandhya15/titanic", "kernel_id": "7353890"}, {"ref": "ethanhunt1080/first-titanic", "kernel_id": "7637573"}, {"ref": "obalufon/logistic-regression-on-titanic-dataset", "kernel_id": "7363836"}, {"ref": "byvuong/v-titanic-submit", "kernel_id": "7376554"}, {"ref": "cheturvedi/kernel5191974d43", "kernel_id": "7309341"}, {"ref": "mahsimaderakhshani/kernel1c088757c0", "kernel_id": "7762141"}, {"ref": "algo888/titanic-myfirstapproach-randomforestclassifier", "kernel_id": "7915339"}, {"ref": "majidbagherinia/titanic-data-science-solutions", "kernel_id": "7360774"}, {"ref": "murilorodrigues/getting-started-with-titanic", "kernel_id": "7378933"}, {"ref": "lokeswarreddy/exploratory-analysis-pipeline-hyper-parameters", "kernel_id": "7859539"}, {"ref": "smoketoffe/titanic-ml-kagle-smoketofe", "kernel_id": "7451042"}, {"ref": "marinechaput/getting-started-with-titanic", "kernel_id": "7391927"}, {"ref": "agsam23/let-s-start-with-titanic", "kernel_id": "7547463"}, {"ref": "dongdongjackli/getting-started-with-titanic", "kernel_id": "7414367"}, {"ref": "recepmehmet/titianic-data-with-97-3-accuration", "kernel_id": "7671459"}, {"ref": "bilalhammas/titanic-data-science-solutions", "kernel_id": "7419916"}, {"ref": "jaeyoungchang/jaydentitanic", "kernel_id": "7414073"}, {"ref": "magolor/fully-connected-deep-neural-network", "kernel_id": "7491635"}, {"ref": "davidwritesbugs/titanic", "kernel_id": "7709325"}, {"ref": "shyamsunderkumar/titanic-beginners-notebook", "kernel_id": "7455094"}, {"ref": "michaelmegliola/loislab-ideas", "kernel_id": "7945008"}, {"ref": "gabrieldiasf/titanic-first-try", "kernel_id": "7851245"}, {"ref": "junaidkhan281/kernel4f2e56a724", "kernel_id": "7555788"}, {"ref": "crystaldragonliu/kernel233e55c127", "kernel_id": "7476643"}, {"ref": "ntikmr/my-1st-classification-project", "kernel_id": "7471201"}, {"ref": "mateoradman/titanic-competition-machine-learning", "kernel_id": "7961928"}, {"ref": "robertotorre23/titanic-my-first-ml-top-12", "kernel_id": "7976123"}, {"ref": "kevinszuchet/hackateca", "kernel_id": "7625748"}, {"ref": "younus1063/my-first-project", "kernel_id": "7491001"}, {"ref": "shwetachaskar/titanic-prediction-model-using-kmeans", "kernel_id": "7527856"}, {"ref": "sf2021/kernel4445304952", "kernel_id": "7906858"}, {"ref": "nxrprime/speed-up-your-eda-with-pandas-profiling", "kernel_id": "7927618"}, {"ref": "nxrprime/a-detailed-eda-with-r", "kernel_id": "7897713"}, {"ref": "mishralokk/titanic-as-first-project", "kernel_id": "7533476"}, {"ref": "gabrielyshay/kernel4d91721d36", "kernel_id": "7675697"}, {"ref": "issactai/first-data-analysis-work-on-titanic-data", "kernel_id": "7587204"}, {"ref": "namjinwoo/titanic", "kernel_id": "7638499"}, {"ref": "kageyukimatsukawa/model-with-scikit-learn", "kernel_id": "7561728"}, {"ref": "rodrigobravomoreno/titanic-second-attempt", "kernel_id": "7836617"}, {"ref": "bexxmodd/would-you-have-survived-the-titanic-crash", "kernel_id": "7630185"}, {"ref": "p17087mh/titanic-ver2-20200123", "kernel_id": "7668502"}, {"ref": "belindaa/titanic-competition", "kernel_id": "7658650"}, {"ref": "kashdotten/titanic-logisticregression-neuralnetwork", "kernel_id": "7709597"}, {"ref": "gabrielj96/um-modelo-simples-de-um-iniciante-para-brasileiros", "kernel_id": "7692481"}, {"ref": "sgupta27/titanic-survival-analysis-first-competition", "kernel_id": "7671372"}, {"ref": "kusumidaichi/kernel76d0fd684d", "kernel_id": "7633206"}, {"ref": "stefanjon/titanic-learning-through-doing", "kernel_id": "7686463"}, {"ref": "rpranata/titanic-r", "kernel_id": "7700480"}, {"ref": "qianghan/titanic-complete-workflow", "kernel_id": "7701289"}, {"ref": "khotaka127/kernel6ef118265b", "kernel_id": "7586198"}, {"ref": "ayushpandey007/kernel4a3ac7627e", "kernel_id": "7595954"}, {"ref": "xueli123/kernel000001", "kernel_id": "7739030"}, {"ref": "ahmedadel93/kernel9eb5e75790", "kernel_id": "7678190"}, {"ref": "raj001/titanic-test-practice-cap-5610", "kernel_id": "7612369"}, {"ref": "spellofstar/kernel175d165234", "kernel_id": "7908731"}, {"ref": "maheshanand376/how-to-survive-the-titanic", "kernel_id": "7622121"}, {"ref": "shrutiturner/titanic-randomforestregressor", "kernel_id": "7901621"}, {"ref": "innotech/titanic-using-name-only-0-81818", "kernel_id": "7965361"}, {"ref": "ixxazz/titanic-solution-using-neuralnet", "kernel_id": "7632593"}, {"ref": "ixxazz/kernel4fbe36405a", "kernel_id": "7632851"}, {"ref": "ixxazz/kernel6e3f165416", "kernel_id": "7633564"}, {"ref": "yuhboi/titanic-comp", "kernel_id": "7860740"}, {"ref": "ericliu365/haoming-s-prediction-on-titanic", "kernel_id": "7922169"}, {"ref": "abhinandansharma9284/titanic-disaster", "kernel_id": "7646418"}, {"ref": "decisioning/titanic-mariotrapiello", "kernel_id": "7669329"}, {"ref": "santoshsharma23/santos23hw1", "kernel_id": "7691435"}, {"ref": "santoshsharma23/santos23hw2", "kernel_id": "7779118"}, {"ref": "ananysharma/titanicc-survived-deceased", "kernel_id": "7896650"}, {"ref": "janjelledewit/titanic-ml-2", "kernel_id": "7771468"}, {"ref": "elifay/my-titanic-model", "kernel_id": "7716193"}, {"ref": "debanjalibasu/titanic-ml", "kernel_id": "7734599"}, {"ref": "biswarupray/advanced-titanic", "kernel_id": "7705538"}, {"ref": "biswarupray/getting-started-with-titanic", "kernel_id": "7696453"}, {"ref": "biswarupray/knn-titanic", "kernel_id": "7728719"}, {"ref": "nischalsinghal/titanic-1", "kernel_id": "7757023"}, {"ref": "atotes/titanic-machine-learning-from-disaster", "kernel_id": "7943514"}, {"ref": "eqchee/titanic", "kernel_id": "7842513"}, {"ref": "jugglingsnakeboarder/myfirsttitanicsolution", "kernel_id": "7874343"}, {"ref": "senolcomert/titanic-survival-prediction", "kernel_id": "7892265"}, {"ref": "abdullahali1/getting-started-with-titanic", "kernel_id": "7818006"}, {"ref": "rajneeshkumar0509/titanic-survival-prediction", "kernel_id": "7852465"}, {"ref": "aiwale/kernel72552f8917", "kernel_id": "7730642"}, {"ref": "chevyy/titanic-david-c", "kernel_id": "7817039"}, {"ref": "tylerali/getting-started-with-titanic", "kernel_id": "7820733"}, {"ref": "thegreenb1t/titanic-3-some-naive-feature-selection", "kernel_id": "7897057"}, {"ref": "oliviaalexander1/olivias-titanic", "kernel_id": "7860581"}, {"ref": "rachelwitherspoon/anya-advika-and-rachel-learning-code", "kernel_id": "7761639"}, {"ref": "nayuta999999/kernel6a3ee9cc44", "kernel_id": "7806655"}, {"ref": "naeemgouri/titanic-1", "kernel_id": "7847452"}, {"ref": "mwathimartin/microwave", "kernel_id": "7766537"}, {"ref": "mwathimartin/my-titanic-model", "kernel_id": "7838093"}, {"ref": "shangzhouxia/titanic-79-a-data-science-framework", "kernel_id": "7873069"}, {"ref": "toezbit/prototypetitanic", "kernel_id": "7954670"}, {"ref": "ryanlempka/titanic-eda", "kernel_id": "7894270"}, {"ref": "ryanlempka/titanic-dataprep-predictions", "kernel_id": "7904809"}, {"ref": "hiangsug717/titanic", "kernel_id": "7786271"}, {"ref": "jrsarkar/titanic-jr-sarkar", "kernel_id": "7793390"}, {"ref": "vijitshrivastava/titanic-widget", "kernel_id": "7978500"}, {"ref": "hugoperesdefreitas/titanic-challenge", "kernel_id": "7935204"}, {"ref": "anveshmatta/titanic-notebook", "kernel_id": "7972503"}, {"ref": "koreadataboy/kaggle-titanic-tutorial-eda", "kernel_id": "7813312"}, {"ref": "williamshin/titanic-williamshin", "kernel_id": "7824947"}, {"ref": "liliamj/lilia-titanic-competition", "kernel_id": "7816808"}, {"ref": "liliamj/mendjel-titanic-kaggle", "kernel_id": "7817280"}, {"ref": "florineduboisgraffin/florine-dubois-graffin-titanic", "kernel_id": "7816951"}, {"ref": "constancegouelo/gouelo-titanic-submission", "kernel_id": "7816870"}, {"ref": "jacobmacleod/titanic-challenge2020", "kernel_id": "7863223"}, {"ref": "alexandreleon/titanic-trying-things", "kernel_id": "7836243"}, {"ref": "wantvd/kernel2cf504a6eb", "kernel_id": "7842463"}, {"ref": "ysanojpn/titanic-boosted-tree-tensorflow2", "kernel_id": "7945182"}, {"ref": "ysanojpn/titanic-nn-512-tensorflow2", "kernel_id": "7907261"}, {"ref": "chantalkoechli/titanic-challenge", "kernel_id": "7852154"}, {"ref": "ajigle/rf-classifier-titanic-top-12", "kernel_id": "7864238"}, {"ref": "amanikilumanga/titanic-machine-learning-from-disaster", "kernel_id": "7943410"}, {"ref": "jakemullins/titanic", "kernel_id": "7971601"}, {"ref": "longhornstateofmind/titanic-disaster", "kernel_id": "7867349"}, {"ref": "flavioraschella/titanic-challenge", "kernel_id": "7945417"}, {"ref": "enesteymir/titanic-data-science-solutions", "kernel_id": "7873573"}, {"ref": "matthieudu/using-lr-to-predict", "kernel_id": "7995689"}, {"ref": "shubhankartiwari/titanic-logistic-regression-with-python", "kernel_id": "7883735"}, {"ref": "mikhailkarimov/recommender-system-perspective-on-the-titanic-data", "kernel_id": "7876731"}, {"ref": "meifelyuki/my-lesson", "kernel_id": "7971472"}, {"ref": "stevenfong/titanic-ml-attpt", "kernel_id": "7921811"}, {"ref": "nitinkaushik1978/fork-of-titanic-basic-solution-with-logistic-regre", "kernel_id": "7899720"}, {"ref": "nitinkaushik1978/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899570"}, {"ref": "prasoonshukla/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899508"}, {"ref": "wasimakram89/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899543"}, {"ref": "pradeepkv81/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899548"}, {"ref": "vidhyasubramaniam/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899559"}, {"ref": "ashokdas/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899545"}, {"ref": "srinugoruputi/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899619"}, {"ref": "rajeshpuri/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899506"}, {"ref": "rahuljain8987/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899529"}, {"ref": "harshitgodha/titanic-basic-solution-with-logistic-regression", "kernel_id": "7899544"}, {"ref": "ninninandy/titanic-basic-solution-with-logistic-regression", "kernel_id": "7907160"}, {"ref": "changtwds/20200210-titanic-test", "kernel_id": "7907984"}, {"ref": "louislacaille/pandas-cheatsheet", "kernel_id": "7988951"}, {"ref": "rhul53/titanic-data-science-solutions-68badf", "kernel_id": "7927099"}, {"ref": "jonathansynnott/titanic-exploration", "kernel_id": "7931948"}, {"ref": "sushmithacggopal/data-visualization-titanic-survival", "kernel_id": "7939238"}, {"ref": "sushmithacggopal/feature-engineering-titanic-survival", "kernel_id": "7939281"}, {"ref": "sushmithacggopal/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "7940935"}, {"ref": "lpshkn/titanic", "kernel_id": "7957504"}, {"ref": "freekfelsbourg/start-titanic", "kernel_id": "7956584"}, {"ref": "timobage/titanic", "kernel_id": "7971377"}, {"ref": "sakura78/kaggle-in-20200215", "kernel_id": "7978707"}, {"ref": "yasseralaaeldin/kernel5aeaa8c465", "kernel_id": "7984601"}, {"ref": "ahimangoswami/titanic-basic-solution-with-logistic-regression", "kernel_id": "7996232"}, {"ref": "danevans/titanic-data-base-expectation-and-base-model", "kernel_id": "8273039"}, {"ref": "danevans/titanic-data-better-processing-and-features-v4", "kernel_id": "8358805"}, {"ref": "cairo43227/top-6-eda-feature-engineering-random-forest", "kernel_id": "8983836"}, {"ref": "joydeep1/titanic-with-multiple-ml-jg-python-01", "kernel_id": "8103688"}, {"ref": "donghunkim/titanic-eda-and-baseline-model-random-forest", "kernel_id": "8068486"}, {"ref": "ravindranrajesh/titanic-naive-bayes", "kernel_id": "8741599"}, {"ref": "ravindranrajesh/titanic-logreg", "kernel_id": "8467190"}, {"ref": "akshayapkadidal/titanic-withnn-keras", "kernel_id": "8803240"}, {"ref": "sean49/titanic-nn-classifier", "kernel_id": "8267846"}, {"ref": "karendavis/titanic-explainability-interpretability", "kernel_id": "8850006"}, {"ref": "ilyaaltshteyn/ilya-altshteyn-titanic-survival-prediction", "kernel_id": "8730124"}, {"ref": "ilyaaltshteyn/titanic-for-columbia-class", "kernel_id": "8771414"}, {"ref": "krishnadevkashid/titanic-using-python-ensemble-model", "kernel_id": "8103803"}, {"ref": "emilionieto/easy-predictive-modelling-using-tree-based-methods", "kernel_id": "8619525"}, {"ref": "mburakergenc/deep-learning-implementation-with-pytorch", "kernel_id": "8026686"}, {"ref": "trivikram18/titanic-scikit-learn-stacking-classifier", "kernel_id": "8837369"}, {"ref": "ladidinesh/titanic-survival-analysis", "kernel_id": "8757003"}, {"ref": "firstdayonthejob/titanic-tensorflow", "kernel_id": "8712975"}, {"ref": "rakeshravi1992/kernel1bef26c5ea", "kernel_id": "8677326"}, {"ref": "amanarora/first-notebook-titanic-beginner-ml", "kernel_id": "8937266"}, {"ref": "susree64/titanic-data-set-predicting-the-survival", "kernel_id": "8188614"}, {"ref": "sathviksunny/titanic-prediction-using-decision-tree-rf-xgb", "kernel_id": "8630975"}, {"ref": "zzemadj/combine-xgboost-rfc-svm-lr", "kernel_id": "8280242"}, {"ref": "danilob/titanic-challenge-notebook", "kernel_id": "8216506"}, {"ref": "akbaralishaikh/titanic", "kernel_id": "8377494"}, {"ref": "samiraai/begin-ml-with-titanic", "kernel_id": "8949020"}, {"ref": "nayonika/titanic-analysis", "kernel_id": "8770216"}, {"ref": "papern/kernel5129d2cf2a", "kernel_id": "8226139"}, {"ref": "jonigooner/quick-and-simple-solution", "kernel_id": "8271494"}, {"ref": "vissu27/titanic-data-processing-to-predict-survival-rate", "kernel_id": "8292948"}, {"ref": "yclaudel/titanic-prediction-with-a-nn", "kernel_id": "8355010"}, {"ref": "iamcreasy/titanic-logistic-regression-with-validation-set", "kernel_id": "8391065"}, {"ref": "asindico/imparare-da-un-disastro", "kernel_id": "8614244"}, {"ref": "pyim59/2-titanic-v3-6-test", "kernel_id": "8584666"}, {"ref": "atharvbhat/logistic-regression-from-scratch-with-math", "kernel_id": "8576407"}, {"ref": "gulyvz/statistics-101", "kernel_id": "8615021"}, {"ref": "gulyvz/build-model-101", "kernel_id": "8635751"}, {"ref": "fermatsavant/decision-tree-high-acc-using-gridsearchcv", "kernel_id": "8913438"}, {"ref": "edxodia/titanic-adaboost-diplomado-u-la-salle", "kernel_id": "8289252"}, {"ref": "edxodia/taller-5-titanic-adaboost-diplomado-u-la-salle", "kernel_id": "8289813"}, {"ref": "koushikdeb/naive-bayes-classification-from-scratch", "kernel_id": "8649952"}, {"ref": "jarinosuke/upura-kaggle-tutorial-01-first-submission", "kernel_id": "8537526"}, {"ref": "alexandrekoiyama/titanic-python", "kernel_id": "8017251"}, {"ref": "unfinishedgod/titanic-analysis-from-the-movie", "kernel_id": "8891898"}, {"ref": "diamondra/titanic-disaster", "kernel_id": "8725971"}, {"ref": "rdridl01/jhu-mlsp-group-5-titanic-kernal", "kernel_id": "8107775"}, {"ref": "jfmdev/titanic", "kernel_id": "8603908"}, {"ref": "jskonst/kernel56832b6664", "kernel_id": "8562320"}, {"ref": "jskonst/kernel99bbb083ce", "kernel_id": "8527365"}, {"ref": "jskonst/titanic-start-task", "kernel_id": "8496051"}, {"ref": "marcusrb/titanic-keras-level-2", "kernel_id": "8957665"}, {"ref": "jkondek1/ai-learning-journey-stage2", "kernel_id": "8460704"}, {"ref": "saravananoppila/multilayerperceptron-accuracy-95-69", "kernel_id": "8889558"}, {"ref": "tonyj93/our-titanic-solution", "kernel_id": "8682288"}, {"ref": "davids98/titanic-tutorial", "kernel_id": "8306664"}, {"ref": "brunods10/titanic-meetup", "kernel_id": "8693942"}, {"ref": "apoorvm/titanic-randomforest-grid-search", "kernel_id": "8049203"}, {"ref": "apoorvm/titanic-feature-engineering-with-catboost-encoding", "kernel_id": "8140706"}, {"ref": "ankurgarg04/getting-started-with-titanicc", "kernel_id": "8879629"}, {"ref": "franckepeixoto/titanic-disaster-basic-eda", "kernel_id": "8809075"}, {"ref": "franckepeixoto/titanic-tensorflow-2-fp01", "kernel_id": "8772067"}, {"ref": "scatteredflo/titanic-tutorial-for-study-200409", "kernel_id": "8842142"}, {"ref": "emanuelhuber/kernel6fa4b7df22", "kernel_id": "8693284"}, {"ref": "kamilpolak/tutorial-how-to-use-pivot-table-in-pandas", "kernel_id": "8408108"}, {"ref": "akbaldawa/titanic-prediction", "kernel_id": "8724231"}, {"ref": "turgaygulturk/data-science-starter-notebook-with-3-ml-algorithms", "kernel_id": "8449600"}, {"ref": "aye2121/titanic-survival-prediction-aye2121", "kernel_id": "8554798"}, {"ref": "sukhdev498/titanic-survival-prediction", "kernel_id": "8851239"}, {"ref": "wakamezake/nyaggle-tutorial-for-titanic", "kernel_id": "8227384"}, {"ref": "prashantkikani/introduction-to-basic-python-libraries-for-ml", "kernel_id": "8885482"}, {"ref": "prashantkikani/1st-step-in-machine-learning-titanic-problem", "kernel_id": "8901455"}, {"ref": "prashantkikani/solving-the-titanic-problem-deep-learning-way", "kernel_id": "8919420"}, {"ref": "igorlucci/eda-manipula-o-de-dados-para-iniciantes-ptbr", "kernel_id": "8060761"}, {"ref": "igorlucci/tutorial-titanic-intermedi-rio-ptbr", "kernel_id": "8281459"}, {"ref": "marceloip/titanic", "kernel_id": "8409783"}, {"ref": "nnrajak3/svc-grid-search-parameter-optimisation", "kernel_id": "8878795"}, {"ref": "gtregoat/testing-catboost-on-the-titanic-dataset", "kernel_id": "8447594"}, {"ref": "mobasshir/eda-to-prediction-dietanic", "kernel_id": "8809442"}, {"ref": "dnvilela/titanic-challenge-dnvilela", "kernel_id": "8931487"}, {"ref": "piyushrumao/titanic-eda-with-superclassifier-dnn", "kernel_id": "8985198"}, {"ref": "nicolasca/titanic-nn-model", "kernel_id": "8183813"}, {"ref": "funxexcel/titanic-solution-lr-class-23jan", "kernel_id": "8199998"}, {"ref": "funxexcel/titanic-solution-with-auto-h2o", "kernel_id": "8173174"}, {"ref": "funxexcel/titanic-solution-with-basic-h2o", "kernel_id": "8172900"}, {"ref": "funxexcel/titanic-solution-random-forest", "kernel_id": "8842033"}, {"ref": "vinu64/titanic", "kernel_id": "8078713"}, {"ref": "slucas/getting-started-with-data-predictions", "kernel_id": "8991866"}, {"ref": "rikeshkumar/kernel39a3d16c19", "kernel_id": "8716519"}, {"ref": "rikeshkumar/titanic-data-set-prediction-with-87-accuracy", "kernel_id": "8716703"}, {"ref": "sunnyville01/titanic-rundown-of-a-solution", "kernel_id": "8706624"}, {"ref": "eyyeung/titanic-random-forest-survival-classification", "kernel_id": "8091355"}, {"ref": "kyleo0809/kernel5f429d907b", "kernel_id": "8901207"}, {"ref": "amarmind/titanic-testing-some-classification-models", "kernel_id": "8616111"}, {"ref": "pratikdhoke/titanic-eda", "kernel_id": "8637401"}, {"ref": "manmohan123/titanic-feature-engineering-and-model-selection", "kernel_id": "8630248"}, {"ref": "chekoduadarsh/corona-in-titanic", "kernel_id": "8812599"}, {"ref": "pavansanagapati/tracing-covid19-spread-across-europe-us", "kernel_id": "8716485"}, {"ref": "regismagnus/titanic-survivor-analyze", "kernel_id": "8882531"}, {"ref": "sebinduke/sebin-s-titanic-prediction", "kernel_id": "8964493"}, {"ref": "bhupi1497/titanic-survival", "kernel_id": "8089982"}, {"ref": "sishihara/autogluon-tabular-for-titanic", "kernel_id": "8452195"}, {"ref": "sishihara/titanic-debug-20200310", "kernel_id": "8329433"}, {"ref": "damianusdeni/p4-titanic-data", "kernel_id": "8103550"}, {"ref": "mnabegh/quick-titanic-solution", "kernel_id": "8878478"}, {"ref": "moussaid/educational-kernel", "kernel_id": "8602081"}, {"ref": "kastner/feature-engineering-titanic-dataset", "kernel_id": "8486357"}, {"ref": "cavrilionis/titanic-data-analysis-gridsearchcv-and-xgboost", "kernel_id": "8616233"}, {"ref": "pmbiradar/kernel71559e6fb5", "kernel_id": "8863999"}, {"ref": "sucharitaatha/titanic-regression-randomforest", "kernel_id": "8877293"}, {"ref": "sebastiangt/titanic-basic-ann-workflow", "kernel_id": "8733979"}, {"ref": "sebastiangt/getting-started-with-titanic", "kernel_id": "8575107"}, {"ref": "mruczykij/women-children-first-titanic-ml-from-disaster", "kernel_id": "8119418"}, {"ref": "abhia1999/titanic-top-6-with-random-forest-model", "kernel_id": "8361180"}, {"ref": "mahdinezhadasad/one-step-to-data-science", "kernel_id": "8595878"}, {"ref": "mahdinezhadasad/start2", "kernel_id": "8585694"}, {"ref": "cookie98/titanic-logistic-regression", "kernel_id": "8176191"}, {"ref": "ramitsharma1994/titanic-survival-prediction-for-beginners", "kernel_id": "8990636"}, {"ref": "snievan/w-svm", "kernel_id": "8095985"}, {"ref": "amacia/take-on-titanic-ds", "kernel_id": "8967548"}, {"ref": "byeongjoon/decision-tree", "kernel_id": "8119771"}, {"ref": "nibukdk93/titanic-disaster-prediction-challenge", "kernel_id": "8378917"}, {"ref": "ahmedabdulhamid/titanic-power-of-scikit-learn", "kernel_id": "8781983"}, {"ref": "thirubalaji12/sklearn-analysis-titanic-code-effective", "kernel_id": "8644760"}, {"ref": "bhairaveeoza/titanic-nn", "kernel_id": "8346530"}, {"ref": "seriouskang/kaggle-tutorial-titanic", "kernel_id": "8496749"}, {"ref": "prashant111/stacked-classifier-top-10-on-lb", "kernel_id": "8901028"}, {"ref": "prashant111/titanic-a-detailed-classification-pipeline", "kernel_id": "8921232"}, {"ref": "mervebdurna/titanic-survival-predictions", "kernel_id": "8480577"}, {"ref": "sairam6087/chpt-3-hands-on-ml2-exercise-solutions-3", "kernel_id": "8198045"}, {"ref": "hassanamin/data-analysis-and-data-visualization-seaborn", "kernel_id": "8062142"}, {"ref": "ipan88/titanic", "kernel_id": "8550749"}, {"ref": "fx757887/titanic-1", "kernel_id": "8988343"}, {"ref": "lestervioleta/exploring-the-titanic-dataset", "kernel_id": "8571284"}, {"ref": "dtamming/titanic-classification", "kernel_id": "8226039"}, {"ref": "cheekytax/getting-started-with-titanic", "kernel_id": "8972479"}, {"ref": "fredericodib/titanic-simple-model-and-clean", "kernel_id": "8724823"}, {"ref": "anhtu96/titanic-randomforest-onehotencoding", "kernel_id": "8477343"}, {"ref": "yigitaener/exploring-data-feature-importance-model-tuning", "kernel_id": "8090828"}, {"ref": "pshukla1989/getting-started-with-titanic-p", "kernel_id": "8240199"}, {"ref": "utsavporwal/titanic", "kernel_id": "8631734"}, {"ref": "tbay97/tgc-titanic-eda", "kernel_id": "8526025"}, {"ref": "shiv2883/titanic-data-solution", "kernel_id": "8379423"}, {"ref": "jyhan35/kernel1776a1f213", "kernel_id": "8929724"}, {"ref": "kouki0524/titanic-cross-val-and-majority-decision", "kernel_id": "8204311"}, {"ref": "ramprakasism/titanic-machine-learning-from-disaster", "kernel_id": "8136260"}, {"ref": "anima281/titanic", "kernel_id": "8456536"}, {"ref": "sanjayar/start-to-solve-your-first-problem-in-ml", "kernel_id": "8097185"}, {"ref": "johndelara1/titanic", "kernel_id": "8570172"}, {"ref": "danrusei/exploring-tensorflow-keras-dnn", "kernel_id": "8147699"}, {"ref": "kssubhodh/titanic", "kernel_id": "8666483"}, {"ref": "arjunsai636/titanic", "kernel_id": "8333857"}, {"ref": "medyasun/titanic-best-score", "kernel_id": "8166755"}, {"ref": "mhrsavci/ms-titanic-disaster-eda", "kernel_id": "8201717"}, {"ref": "avish5787/titanic-eda-ml", "kernel_id": "8203137"}, {"ref": "shawndddjjj/beginner-for-titanic-prediction", "kernel_id": "8760717"}, {"ref": "abhishekrath1995/abhishekr-grad-boost", "kernel_id": "8984578"}, {"ref": "rybhatt27/getting-started-with-titanic", "kernel_id": "8693541"}, {"ref": "jason03/titanic", "kernel_id": "8148113"}, {"ref": "windmen/realization-logisticregression", "kernel_id": "8168736"}, {"ref": "baghlafturki/titanic-survivors-prediction", "kernel_id": "8778885"}, {"ref": "pranavraikokte/titanic-kernel", "kernel_id": "8385053"}, {"ref": "fkasim/titanic-eda", "kernel_id": "8803905"}, {"ref": "kapish5467/submission2", "kernel_id": "8898784"}, {"ref": "charlievbc/survival-prediction-on-titanic-classification", "kernel_id": "8593904"}, {"ref": "borameister/titanic-eda-predictions-w-ensembling-models", "kernel_id": "8772884"}, {"ref": "hahatrisha1/titanic-results-eda-mlv1", "kernel_id": "8571592"}, {"ref": "frtgnn/pycaret-introduction-classification-regression", "kernel_id": "8993563"}, {"ref": "frtgnn/beginner-s-stop-pipeline-introduction", "kernel_id": "8613775"}, {"ref": "hankeceli/titanic-eda", "kernel_id": "8001292"}, {"ref": "halilhp/data-science-titanic-prediction", "kernel_id": "8621493"}, {"ref": "zhuldyzkalbayeva/kernel2f1262c53f", "kernel_id": "8245115"}, {"ref": "rootofarch/eda-lr-hyperparametertuning-on-titanic-dataset", "kernel_id": "8704451"}, {"ref": "mojtylor/handling-missing-values-for-beginner", "kernel_id": "8089817"}, {"ref": "fedosique/titanic-shmitanic", "kernel_id": "8514740"}, {"ref": "ghidaqahtan/how-get-top-8-score-by-simple-model", "kernel_id": "8777721"}, {"ref": "jacksonthounaojam/gradient-boosting", "kernel_id": "8061280"}, {"ref": "jacksonthounaojam/poly-transform", "kernel_id": "8060380"}, {"ref": "jacksonthounaojam/kernel3e267be2a1", "kernel_id": "8044831"}, {"ref": "ervinismu/getting-started-with-titanic", "kernel_id": "8181986"}, {"ref": "arpit0611/kernel51534c2786", "kernel_id": "8234152"}, {"ref": "simonhchen/titanic-ml-kernel", "kernel_id": "8290712"}, {"ref": "xuanedx/titanic-dataset-eda-prediction", "kernel_id": "8984533"}, {"ref": "soplia/titanic-pytorch-cnn-77-5", "kernel_id": "8043247"}, {"ref": "scwilbanks/titanic-logistic", "kernel_id": "8123801"}, {"ref": "scwilbanks/titanic-naive-bayes", "kernel_id": "8168949"}, {"ref": "podsyp/titanic-starter-eda-tsne-kfold-lgb", "kernel_id": "8787138"}, {"ref": "hatorikodai/python-kaggle-start-book-ch02-01", "kernel_id": "8540637"}, {"ref": "nnikolay/titanic-catboost-top-4", "kernel_id": "8291475"}, {"ref": "samuelkurabachew/titanic-predicting-survivors-part-2", "kernel_id": "8331497"}, {"ref": "shubhamraj11/first-attempt-for-titanic-datasets", "kernel_id": "8028759"}, {"ref": "thienminh/titanic-advanced-feature-engineering-tutorial", "kernel_id": "8243801"}, {"ref": "gameatro/titanic-dataset", "kernel_id": "8127995"}, {"ref": "codingzorba/titanic", "kernel_id": "8089498"}, {"ref": "drozdyuk/titanic", "kernel_id": "8775310"}, {"ref": "imenbaa/titaic-logisticregression", "kernel_id": "8356871"}, {"ref": "taukir707/titanic", "kernel_id": "8538812"}, {"ref": "mydoom87/titanic-ml-prognose-of-a-disaster", "kernel_id": "8015982"}, {"ref": "mathieu23/titanic-with-a-logistic-regression", "kernel_id": "8029800"}, {"ref": "ssykiotis/titanic-using-ensembled-classifiers", "kernel_id": "8181519"}, {"ref": "chichkin/eda-to-prediction-dietanic", "kernel_id": "8807346"}, {"ref": "lkatran/titanicforlearn", "kernel_id": "8921603"}, {"ref": "somacodes/titanic-data-analysis-8-models-including-xgboost", "kernel_id": "8947680"}, {"ref": "basakoca/titanic-eda-homework-first-part", "kernel_id": "8977640"}, {"ref": "khotijahs1/titanic-machine-learning-from-disaster-rfcla", "kernel_id": "8688103"}, {"ref": "likithats/titanic", "kernel_id": "8429288"}, {"ref": "ertankaya/titanic-prediction", "kernel_id": "8653949"}, {"ref": "sagira/titanic-eda-beginner", "kernel_id": "8431481"}, {"ref": "asadraza825/titanic-logistic-regression", "kernel_id": "8604415"}, {"ref": "jackrobsongateshead/getting-started-with-titantic", "kernel_id": "8194532"}, {"ref": "gotutiyan/titanic-minimal-tutorial-xgboost", "kernel_id": "8703797"}, {"ref": "gotutiyan/titanic-tutorial-pytorch-japanese", "kernel_id": "8687991"}, {"ref": "andre13andre/titanic-top11", "kernel_id": "8769423"}, {"ref": "uday44/titanic-survival-prediction-0-765", "kernel_id": "8873494"}, {"ref": "benjaminpickers/titanic-notebook", "kernel_id": "8242722"}, {"ref": "larsen0966/getting-started-with-titanic-using-r", "kernel_id": "8068783"}, {"ref": "mohammadmortaji/kernelc28b18d44a", "kernel_id": "8277387"}, {"ref": "kishanbala/titanic-passenger-survival-predictions", "kernel_id": "8277206"}, {"ref": "nixiam/titanic-machine-learning-from-disaster", "kernel_id": "8981716"}, {"ref": "bibekx/kernel65bb4d0a1a", "kernel_id": "8464290"}, {"ref": "innovn/titanic-mapping-of-embarked-using-with-folium", "kernel_id": "8126383"}, {"ref": "duangphachan/introduction-to-decision-trees-titanic-dataset", "kernel_id": "8260470"}, {"ref": "vaishvik25/titanic-eda-fe-3-model-decision-tree-viz", "kernel_id": "8698078"}, {"ref": "jjonak9415/neural-network", "kernel_id": "8263945"}, {"ref": "jjonak9415/nn-experiment", "kernel_id": "8277728"}, {"ref": "jjonak9415/nn-baseline-keras", "kernel_id": "8115265"}, {"ref": "jjonak9415/test01", "kernel_id": "8104034"}, {"ref": "pb96692p/titanic-basic-solution-with-logistic-regression", "kernel_id": "8841611"}, {"ref": "maukbe/titanic-predicting-survival-with-a-random-forest", "kernel_id": "8949267"}, {"ref": "surajkumar88/titanic-machine-learning-from-disaster-eda", "kernel_id": "8262215"}, {"ref": "subinium/part-1-multi-dimension-viz-titanic-ver", "kernel_id": "8934835"}, {"ref": "brendan45774/titanic-top-solution", "kernel_id": "8737793"}, {"ref": "hamzatopal/titanik-eda", "kernel_id": "8455274"}, {"ref": "jagtapraj/guess-who-survived-titanic-logistic-regression", "kernel_id": "8031146"}, {"ref": "feyyazatman/titanic-eda", "kernel_id": "8876612"}, {"ref": "faisal311/titanic-predictions", "kernel_id": "8504575"}, {"ref": "nikitataf/titanic-solution-notebook", "kernel_id": "8613408"}, {"ref": "shahzinakhan/titanic-comp1", "kernel_id": "8804356"}, {"ref": "saitharun97/investigating-imputation-methods", "kernel_id": "8007483"}, {"ref": "owais655mohd/titanic-machine-learning-from-disaster", "kernel_id": "8380069"}, {"ref": "gokturkeksi/g-kt-rk-ek-i-s-titanic-eda", "kernel_id": "8516102"}, {"ref": "sakshamjn/simple-matplotlib-visualization-tips", "kernel_id": "8441163"}, {"ref": "vaizars/titanic-eda", "kernel_id": "8948197"}, {"ref": "itoyutaka/kjshandson", "kernel_id": "8017305"}, {"ref": "itoyutaka/kjs-try", "kernel_id": "8434891"}, {"ref": "itoyutaka/kjshandson-question", "kernel_id": "8434771"}, {"ref": "furki16/dataiteam-titanik", "kernel_id": "8681049"}, {"ref": "shubh7/random-forest-minimal", "kernel_id": "8643200"}, {"ref": "mikkac/data-visualization-with-seaborn", "kernel_id": "8283427"}, {"ref": "mikkac/titanic-disaster-classification", "kernel_id": "8164650"}, {"ref": "sanwalsahil/kernel648f89c14f", "kernel_id": "8004158"}, {"ref": "sanwalsahil/dataframes-101", "kernel_id": "8471542"}, {"ref": "alancardoso/titanic-challenge", "kernel_id": "8776090"}, {"ref": "nisiscau/exploratory-data-analysis-prediction-titanic", "kernel_id": "8559033"}, {"ref": "dncr1414/dncr-titanik-eda", "kernel_id": "8131912"}, {"ref": "smaelmaq/titanic-simple-prediction-for-beginner", "kernel_id": "8588325"}, {"ref": "bhaveshparakh25/kernel65fa663c3a", "kernel_id": "8682751"}, {"ref": "bhaveshparakh25/getting-started-with-titanic", "kernel_id": "8682332"}, {"ref": "pratt3000/kernel-titanic-fastai", "kernel_id": "8049072"}, {"ref": "mfatihcoskun/mfatih", "kernel_id": "8208922"}, {"ref": "asaadco/titanic-nn", "kernel_id": "8753147"}, {"ref": "blacktile/kaggle-titanic-challenge-83-validation-accuracy", "kernel_id": "8315823"}, {"ref": "aswin0821/titanic-predictions", "kernel_id": "8659973"}, {"ref": "sabakhalili/titanic-dataset", "kernel_id": "8178033"}, {"ref": "sanasam/titanic-insight-story-and-survival-prediction", "kernel_id": "8615306"}, {"ref": "retigambit/titanic-age-imputation", "kernel_id": "8653373"}, {"ref": "smile26/titanic-distaster-prediction", "kernel_id": "8634857"}, {"ref": "saik4t/titanic-kaggle-challenge", "kernel_id": "8183059"}, {"ref": "lukaswallrich/titanic-logreg", "kernel_id": "8049125"}, {"ref": "lucasle95/novice-attempt-at-feature-engineering-ml-models", "kernel_id": "8813165"}, {"ref": "maverick6912/ttianic-beta", "kernel_id": "8264973"}, {"ref": "ajax0564/data-analysis-and-data-visualization-seaborn", "kernel_id": "8102553"}, {"ref": "danielalexander17/titanic-not-optimal-but-works", "kernel_id": "8335939"}, {"ref": "dh33rajmohan/tutorial-titanic", "kernel_id": "8698867"}, {"ref": "thomasreynolds/titanic", "kernel_id": "8851721"}, {"ref": "talohrel/kutaydal-titanic-eda-and-prediction", "kernel_id": "8468583"}, {"ref": "onursoyerrr/titanic-eda", "kernel_id": "8546732"}, {"ref": "imtypo/titanic-binary-classification", "kernel_id": "8108817"}, {"ref": "samiranbera/predict-using-xgboost", "kernel_id": "8276395"}, {"ref": "girijeshcse/titanic-advanced-feature-engineering-tutorial", "kernel_id": "8988266"}, {"ref": "hopereal/titanic-analysis", "kernel_id": "8523219"}, {"ref": "karenhong/kernel3fb065f522", "kernel_id": "8921868"}, {"ref": "jwyang91/kernel2f90c4c523", "kernel_id": "8810717"}, {"ref": "seraphwedd18/surviving-titanic-keras-only-approach", "kernel_id": "8173201"}, {"ref": "dsn00b/titanic", "kernel_id": "8295692"}, {"ref": "pkalra001/titanic-survivors-classifier", "kernel_id": "8600374"}, {"ref": "okanerayger/titanic-survive-prediction", "kernel_id": "8545144"}, {"ref": "pratibha9/titanic", "kernel_id": "8863504"}, {"ref": "jhthompson/titanic-basic-model", "kernel_id": "8244159"}, {"ref": "uditsharmaai/titanic", "kernel_id": "8004577"}, {"ref": "akhileshpm/titanic-data-analysis", "kernel_id": "8965390"}, {"ref": "akhileshpm/coronavirus-dataset-india-live", "kernel_id": "8976782"}, {"ref": "aliarshad08/ensemble-on-titanic", "kernel_id": "8216220"}, {"ref": "mukeshchoudhary/prediction-on-titanic-datasets", "kernel_id": "8107649"}, {"ref": "anassaljarroudi/titanic-machine-learning-from-disaster", "kernel_id": "8708547"}, {"ref": "ggrottone/titanic-insights", "kernel_id": "8727087"}, {"ref": "smagh777/kernel42dd288122", "kernel_id": "8225150"}, {"ref": "umarsajjad/top-3-titanic-survival-determination", "kernel_id": "8659445"}, {"ref": "wish123/train-1", "kernel_id": "8932160"}, {"ref": "laiyanting/ensemble-model-with-grid-search", "kernel_id": "8815887"}, {"ref": "shikhar721/titanic-ml-from-disaster", "kernel_id": "8698883"}, {"ref": "shivanshsetia11/kernel5a588ad3ee", "kernel_id": "8466886"}, {"ref": "hadasmanor/titanic-survivors-classification", "kernel_id": "8011598"}, {"ref": "aaroha33/titanic-a-machine-learning-problem", "kernel_id": "8151668"}, {"ref": "jesudasdsouza/titanic-starter-kernel-using-tf-keras-0-78", "kernel_id": "8855532"}, {"ref": "vitorishi/titanic-a-beginner-approach-with-neural-networks", "kernel_id": "8171931"}, {"ref": "santohide/titanic-create-graph", "kernel_id": "8458559"}, {"ref": "aczf178/getting-started-with-titanic", "kernel_id": "8979431"}, {"ref": "nyekosamuel/titanic-novice-two", "kernel_id": "8005866"}, {"ref": "lucca9211/titanic-machine-learning-optuna", "kernel_id": "8284739"}, {"ref": "lucca9211/titanic-scored-0-74641", "kernel_id": "8314412"}, {"ref": "rgaur28/titanic-machine-learning-from-disaster", "kernel_id": "8280519"}, {"ref": "yadavhimanshu/titanic-survival-prediction", "kernel_id": "8371884"}, {"ref": "mqrker/kernel8e1217a619", "kernel_id": "8691307"}, {"ref": "sarthgupta/kernel198c88be62", "kernel_id": "8204936"}, {"ref": "sarthgupta/kernel7ae98c8eeb", "kernel_id": "8130885"}, {"ref": "yojulab/learn-titanic-machine-learning-from-disaster", "kernel_id": "8037570"}, {"ref": "samridhmathur/titanicdisaster-survivorprediction-78-94-score", "kernel_id": "8996125"}, {"ref": "awadhi123/titanic-beginner", "kernel_id": "8802838"}, {"ref": "mizanurr/titanic-how-to-be-to-top-2-on-the-leaderboard", "kernel_id": "8616731"}, {"ref": "fabiodmachado/creating-a-model-by-decision-trees", "kernel_id": "8007087"}, {"ref": "aakashdwivedi1/decisiontree", "kernel_id": "8275989"}, {"ref": "halsmit/study-titanic-1", "kernel_id": "8070709"}, {"ref": "hassanw65/titanic-machine-learning-from-disaster", "kernel_id": "8148191"}, {"ref": "rahulgupta21/survival-prediction", "kernel_id": "8356226"}, {"ref": "ad8mir/kernele6e54c25be", "kernel_id": "8873698"}, {"ref": "csabdulelah/best-score", "kernel_id": "8765101"}, {"ref": "clover1qq5/11th-titanic-eda-to-prediction-dietanic", "kernel_id": "8149209"}, {"ref": "clover1qq5/10th-titanic-youhan-lee", "kernel_id": "8144745"}, {"ref": "diegopmayer/tatinic-solution", "kernel_id": "8998846"}, {"ref": "faressayah/decision-trees-random-forest-for-beginners", "kernel_id": "8047681"}, {"ref": "danieljamesdj/titanic-machine-learning-from-disaster", "kernel_id": "8072903"}, {"ref": "danieljamesdj/pandas-tutorial", "kernel_id": "8075234"}, {"ref": "alphadexter/rose-could-have-saved-jack", "kernel_id": "8147692"}, {"ref": "ronaldomata34/getting-started-with-titanic", "kernel_id": "8395164"}, {"ref": "saiharsha111/kernel6715c5b13d", "kernel_id": "8325212"}, {"ref": "reukki/ensemble-stacking-titanic-study", "kernel_id": "8095982"}, {"ref": "myeeee/my-titanic-challenge", "kernel_id": "8936350"}, {"ref": "timmate/titanic-first-attempt", "kernel_id": "8512276"}, {"ref": "akashkash/more-advanced-ml", "kernel_id": "8897345"}, {"ref": "leftyamos/titanic-survival-using-random-forest", "kernel_id": "8258674"}, {"ref": "rutvikdeshpande/titanic", "kernel_id": "8916629"}, {"ref": "takara710/single-vs-ensemble-model", "kernel_id": "8677532"}, {"ref": "dilandincer/dilan-d-titanic-eda", "kernel_id": "8678639"}, {"ref": "johndev001/titanic-model-with-top-8", "kernel_id": "8104105"}, {"ref": "vishumudgal/titanic", "kernel_id": "8888345"}, {"ref": "crimsoneer/titanic-logistic-regression", "kernel_id": "8894707"}, {"ref": "halilakcaa/titanic-datas-ile-veri-ni-leme", "kernel_id": "8171305"}, {"ref": "ssandorov/titanic-competition", "kernel_id": "8856175"}, {"ref": "turuncusakalli/could-you-survive", "kernel_id": "8989316"}, {"ref": "gpriya18/titanic-beginner", "kernel_id": "8584408"}, {"ref": "yashgoyal401/predictions-by-using-almost-10-algorithms", "kernel_id": "8306078"}, {"ref": "prassanth/titanic-fancyimpute-mice-knn-xgboost-hp-tuning", "kernel_id": "8445839"}, {"ref": "brunovpm/tuning-hyperparameter-acc-0-78-top-15", "kernel_id": "8861839"}, {"ref": "kilingki/titanic-top-4-with-ensemble-modeling-kjh", "kernel_id": "8739941"}, {"ref": "mrmorj/titanic-top-2-different-classifiers", "kernel_id": "8719787"}, {"ref": "ashokpandiyana/titanic-basic-solution-with-logistic-regression", "kernel_id": "8841300"}, {"ref": "prajittr/titanic-survival-prediction", "kernel_id": "8150542"}, {"ref": "schizzika/titanic-dataset-analysis", "kernel_id": "8580320"}, {"ref": "viktorpopov/kerneltitanic", "kernel_id": "8912378"}, {"ref": "bensonruan/titanic-tf2-0-random-forest", "kernel_id": "8744589"}, {"ref": "dots9999/titanicsurvive", "kernel_id": "8425447"}, {"ref": "aaravcodes4/titanic-with-tf-gradienttape-top-10", "kernel_id": "8806095"}, {"ref": "sheetalssr/getting-started-with-titanic-dataset", "kernel_id": "8788413"}, {"ref": "anujpr/titanic-survival-prediction", "kernel_id": "8472446"}, {"ref": "epikjjh/titanic-eda", "kernel_id": "8522754"}, {"ref": "epikjjh/titanic", "kernel_id": "8609686"}, {"ref": "zhebird/kernel7de2e9092a", "kernel_id": "8050291"}, {"ref": "sagaramu/titanic-visualization-with-additional-features", "kernel_id": "8004097"}, {"ref": "vivekrajdds10/titanicprediction-xgboost-with-gridsearchcv", "kernel_id": "8552134"}, {"ref": "ylii0124/titanic-project", "kernel_id": "8097759"}, {"ref": "harsh0823/kernel7bc55df87c", "kernel_id": "8305011"}, {"ref": "anuj55f/kernel707b4ae37d", "kernel_id": "8491082"}, {"ref": "iamyoungjin/titanic-practice", "kernel_id": "8304139"}, {"ref": "kayadagli/titanic-exploratory-data-analysis", "kernel_id": "8528535"}, {"ref": "dssant85/titanic-survival-prediction", "kernel_id": "8496284"}, {"ref": "yoktaveyoknel/titanic-otameshi", "kernel_id": "8178647"}, {"ref": "tariqmhmd5/titanic-feature-engg-and-predictions", "kernel_id": "8010729"}, {"ref": "kisoibo/titanic-top-4", "kernel_id": "8023083"}, {"ref": "kisoibo/titanic-classification-solutions", "kernel_id": "8022877"}, {"ref": "praveenkrishna/exploratory-analysis", "kernel_id": "8117410"}, {"ref": "praveenkrishna/getting-started-with-titanic", "kernel_id": "8116085"}, {"ref": "sfurkan23/titaniccompate", "kernel_id": "8767504"}, {"ref": "codeblogger/titanic-eda", "kernel_id": "8871301"}, {"ref": "dalsa17/titanic-pipeline", "kernel_id": "8369205"}, {"ref": "sanjitha359/titanic-survivors-predictions", "kernel_id": "8193596"}, {"ref": "srinathsrinivasan1/titanic-survial-prediction-using-simple-neural-net", "kernel_id": "8559414"}, {"ref": "sanjanavoona1043/titanic-tutorial", "kernel_id": "8628499"}, {"ref": "avanijindal1804/titanic-avani", "kernel_id": "8930913"}, {"ref": "kyrh99/titanic-notebook", "kernel_id": "8595698"}, {"ref": "nibba2018/ml-25-02-2020", "kernel_id": "8131380"}, {"ref": "alegend4u/titanic", "kernel_id": "8340538"}, {"ref": "rhythm1011/kernelafba271373", "kernel_id": "8901124"}, {"ref": "dadasyvz/titanic-survival-prediction", "kernel_id": "8549636"}, {"ref": "themightynj/introduction-to-kaggle-competitions-titanic-data", "kernel_id": "8783579"}, {"ref": "vonewman/titanic", "kernel_id": "8593239"}, {"ref": "akshaydinesh26/titanic-survival-using-naive-bayes-model", "kernel_id": "8941949"}, {"ref": "ssk1180/ssk1111", "kernel_id": "8305825"}, {"ref": "danilyachmenev13/how-to-think-about-data-for-newbies-0-80-0-83", "kernel_id": "8169139"}, {"ref": "pathak43215/getting-started-with-titanic", "kernel_id": "8010994"}, {"ref": "idrisikasim/features-reduced-to-3-84-accuracy", "kernel_id": "8572911"}, {"ref": "mdemamulmursalin/getting-started-titanic", "kernel_id": "8601554"}, {"ref": "mantej/titanic-waley-bhaiya", "kernel_id": "8159087"}, {"ref": "harira30/titanic-gs", "kernel_id": "8714573"}, {"ref": "reverie5/ml-models-comparison", "kernel_id": "8591483"}, {"ref": "sohels7/kernel626b4c4025", "kernel_id": "8192487"}, {"ref": "guecoraph/titanic-data-cleaning-model-fitting", "kernel_id": "8950656"}, {"ref": "danielotuo/titanic", "kernel_id": "8900829"}, {"ref": "priyaash/first-kaggle-competition", "kernel_id": "8047790"}, {"ref": "jkennedy559/logistic-reg-titanic", "kernel_id": "8907538"}, {"ref": "ras783/titanic-neural-network", "kernel_id": "8110297"}, {"ref": "cymtrick/kernel5227f9db92", "kernel_id": "8995907"}, {"ref": "nickteim/fastai-tanticni-v3", "kernel_id": "8512706"}, {"ref": "jeffturner00/titanic-data-sample", "kernel_id": "8430353"}, {"ref": "joshuajhchoi/titanic-tutorial-for-beginners-2020", "kernel_id": "8756440"}, {"ref": "raffizulvian/titanic-model", "kernel_id": "8650030"}, {"ref": "kushagragarg/my-first-kernel", "kernel_id": "8710995"}, {"ref": "fumitakahashi/titanicxgboostgridsearch", "kernel_id": "8294840"}, {"ref": "jeetenp/titanic-machine-learning-from-disaster", "kernel_id": "8223082"}, {"ref": "gyanmohan/titanic-solution-using-xgboost", "kernel_id": "8355379"}, {"ref": "rezaghari/an-interactive-data-science-tutorial", "kernel_id": "8714102"}, {"ref": "balbin/ab-titanic-exploration-00001", "kernel_id": "8904681"}, {"ref": "anang2602/belajar-machine-learning-prediksi-keselamatan", "kernel_id": "8199800"}, {"ref": "ovsienkobohdan/titanic-survival-prediction-gp", "kernel_id": "8632562"}, {"ref": "skirwa/predict-survival-on-titanic", "kernel_id": "8366875"}, {"ref": "sohamsave44/titanic-survival-rate-prediction", "kernel_id": "8988756"}, {"ref": "srcemre/titanic-eda", "kernel_id": "8931457"}, {"ref": "parask11/kernel4c39b5b482", "kernel_id": "8478979"}, {"ref": "zichengsaber/titanic-zzc", "kernel_id": "8716178"}, {"ref": "ssowmiya01/kernel6767333c23", "kernel_id": "8911589"}, {"ref": "alpaca0984/titanic-over-0-79-with-micro-course-techniques", "kernel_id": "8857077"}, {"ref": "alexlichtenberg/titanic-survival-predictor", "kernel_id": "8613134"}, {"ref": "sarojkr/titanic-dataset-eda-and-prediction-models", "kernel_id": "8315369"}, {"ref": "sagarn79/kernel1d9b19d947", "kernel_id": "8563036"}, {"ref": "robertgarcia/titanic-eda-and-ml", "kernel_id": "8986781"}, {"ref": "fabianstadler/titanic-who-survives", "kernel_id": "8611192"}, {"ref": "almashalam/svc-prediction", "kernel_id": "8944816"}, {"ref": "lukavaljin/random-forest-with-grid-search", "kernel_id": "8087790"}, {"ref": "rangarajansaranathan/titanic-using-extreme-gradient-boosting-xgb", "kernel_id": "8025382"}, {"ref": "yadhukrishnanks/titanic-data-predictions", "kernel_id": "8147572"}, {"ref": "bajuyan/can-achieve-99-accuracy", "kernel_id": "8589647"}, {"ref": "kimanikibuthu/titanic-problem", "kernel_id": "8204525"}, {"ref": "darashina/3-in-titanic", "kernel_id": "8408990"}, {"ref": "darashina/in-titanic", "kernel_id": "8248276"}, {"ref": "chulhocho/titanic", "kernel_id": "8185501"}, {"ref": "maniartist/titanic-top-4-with-ensemble-modeling-study2", "kernel_id": "8093942"}, {"ref": "bahadrkelez/titanic-kernel", "kernel_id": "8404201"}, {"ref": "joaopauloribsantos/titanic-data-science-competition", "kernel_id": "8232845"}, {"ref": "arieltoledo/titanic-top-5-with-random-forest", "kernel_id": "8027267"}, {"ref": "acetinkaya/titanik-gemi-kazas-incelemesi", "kernel_id": "8027541"}, {"ref": "pathakvishal/titanic-code", "kernel_id": "8195872"}, {"ref": "bryankohyh/titanic-xgboost", "kernel_id": "8156911"}, {"ref": "shreyatiwari/random-forest-classifier", "kernel_id": "8475434"}, {"ref": "wernervermeulen/titanic", "kernel_id": "8509134"}, {"ref": "jackchenruan/for-fresher-help-you-do-the-simple-data-processing", "kernel_id": "8069508"}, {"ref": "arunkumarpyramid/titanic-survived-ml-and-dl-project-techniques", "kernel_id": "8135206"}, {"ref": "bhavyasriyarlagadda/kernel204ef14362", "kernel_id": "8025777"}, {"ref": "arjundussa/titanic-with-scala", "kernel_id": "8848077"}, {"ref": "pratikrandad/titanic-dataset", "kernel_id": "8060610"}, {"ref": "tsuyoshi0331/titanic", "kernel_id": "8420504"}, {"ref": "songseungwon/practice-data-analysis-with-titanic-dataset", "kernel_id": "8606547"}, {"ref": "ka4avi/ml-lab-b133-1apr", "kernel_id": "8698415"}, {"ref": "adimalhotra11/titanic", "kernel_id": "8962063"}, {"ref": "awabator/titanic", "kernel_id": "8738085"}, {"ref": "antoniopiscopo/titanic-basic-solution-with-logistic-regression", "kernel_id": "8630185"}, {"ref": "ajndesai/titanic-basic-solution-with-logistic-regression", "kernel_id": "8630205"}, {"ref": "dorianlazar/maximum-likelihood-classification", "kernel_id": "8122149"}, {"ref": "vinaygowda98/logistic-regression-on-titanic-dataset-beginners", "kernel_id": "8861365"}, {"ref": "katsuyanomura/kaggle-titanic", "kernel_id": "8508272"}, {"ref": "bharatsinghkushwah/titanic-competition", "kernel_id": "8369967"}, {"ref": "apurvgholap/titanic-machine-learning-top-15", "kernel_id": "8881936"}, {"ref": "carlmcbrideellis/titanic-explainability-why-me-asks-miss-doyle", "kernel_id": "8991277"}, {"ref": "vaishalisharmaece/titanic-basic-solution-with-logistic-regression", "kernel_id": "8841412"}, {"ref": "arul08/1st-kernel-dietanic", "kernel_id": "8045877"}, {"ref": "bikashhalder/geting-started-with-titanic", "kernel_id": "8526086"}, {"ref": "cemhansenol98/titanic-eda", "kernel_id": "8508709"}, {"ref": "swaroopkumar159/creating-a-model-by-decision-trees", "kernel_id": "8189666"}, {"ref": "ritikagawri/kernel7327fdb16e", "kernel_id": "8526775"}, {"ref": "ignaciobasagoiti/titanic-tutorial-feature-engineering-ensemble-ml", "kernel_id": "8010006"}, {"ref": "irfanmansuri/titanic-dataset-123", "kernel_id": "8168612"}, {"ref": "yurychernyshov/titanic-eda", "kernel_id": "8011112"}, {"ref": "garygaryson/titanic-kernel", "kernel_id": "8233143"}, {"ref": "blessonsaju/titanic-solution-with-basic-h2o", "kernel_id": "8189733"}, {"ref": "elzajohnmathew/titanic-solution-with-basic-h2o", "kernel_id": "8189672"}, {"ref": "ranjithkumarsamala/titanic-survival-classification-90-accuracy", "kernel_id": "8049156"}, {"ref": "jvpasp/titanic-survivor-prediction-0-804-top-6", "kernel_id": "8745722"}, {"ref": "at3p10/machine-learning-titanic-tutorial", "kernel_id": "8746147"}, {"ref": "danielwangze/an-interactive-data-science-tutorial", "kernel_id": "8569722"}, {"ref": "meerasuresh/creating-a-model-by-decision-trees", "kernel_id": "8189578"}, {"ref": "sontakeketaki/titanic-data-science-solutions", "kernel_id": "8294916"}, {"ref": "sontakeketaki/data-analysis-and-feature-extraction-with-python", "kernel_id": "8294967"}, {"ref": "evamondal/creating-a-model-by-decision-trees", "kernel_id": "8189600"}, {"ref": "devikaarajesh/titanic-solution-with-basic-h2o", "kernel_id": "8189675"}, {"ref": "devikaarajesh/creating-a-model-by-decision-trees", "kernel_id": "8189568"}, {"ref": "sooner0931/titanic", "kernel_id": "8606082"}, {"ref": "mrbaysal/titanic-firsttry-fromtraining", "kernel_id": "8753765"}, {"ref": "darshanjain29/titanic-survival-from-top-70-to-top-7-on-lb", "kernel_id": "8086299"}, {"ref": "bitriver/titanic-machine-learning-from-disaster", "kernel_id": "8451736"}, {"ref": "adityavats/titanic-1", "kernel_id": "8787633"}, {"ref": "thaorio/feature-engineering-titanic", "kernel_id": "8960830"}, {"ref": "petersu198/simple-logistic-with-titanic-81-3-test-score", "kernel_id": "8612326"}, {"ref": "amankumar1207/code-001-titanic", "kernel_id": "8322430"}, {"ref": "medhinishetty/titanic", "kernel_id": "8291989"}, {"ref": "agmarques/notebook-titanic", "kernel_id": "8604287"}, {"ref": "wolfdale229/titanic-male-survival", "kernel_id": "8000100"}, {"ref": "muhammedfatihyigit/titanik-eda", "kernel_id": "8430042"}, {"ref": "vasportv/titanicbyporotov", "kernel_id": "8210932"}, {"ref": "daniellivingston32/titanic-dataset-1", "kernel_id": "8012971"}, {"ref": "gauravjagnani/titanic", "kernel_id": "8949784"}, {"ref": "imrozmohiuddin/titanic-basic-solution-with-logistic-regression", "kernel_id": "8841274"}, {"ref": "marjanfaizi/getting-started-with-titanic", "kernel_id": "8379410"}, {"ref": "jongbaekkim/my-first-data-analysis-for-titanic", "kernel_id": "8649223"}, {"ref": "salls123/simple-solution-to-titanic-prediction", "kernel_id": "8235291"}, {"ref": "octvee/mamaself-internship", "kernel_id": "8493471"}, {"ref": "rikideguchi/gbdt-titanic", "kernel_id": "8114123"}, {"ref": "kartikkadian/ensembling-stacking-in-python", "kernel_id": "8033332"}, {"ref": "kartikkadian/titanic-the-disaster", "kernel_id": "8033070"}, {"ref": "noobuser99/simple-log-titanic", "kernel_id": "8990805"}, {"ref": "saadalsharif/titanic-dsi-stars-pro2-2", "kernel_id": "8690313"}, {"ref": "zebra69/performance-over-80-notebook-on-titanic", "kernel_id": "8220889"}, {"ref": "khyati2102/first-competition-titanic-survival", "kernel_id": "8642958"}, {"ref": "ozkanozturk/titanic-eda", "kernel_id": "8096790"}, {"ref": "viveknayak/third-attempt-replicating-second-notebook", "kernel_id": "8865855"}, {"ref": "aisuluuosmonova/titanic-classification", "kernel_id": "8179636"}, {"ref": "alexnaumovskiy/titanic-notebook", "kernel_id": "8332157"}, {"ref": "vusalashikhaliyeva/kerneld2142d03db", "kernel_id": "8250209"}, {"ref": "khushboon/titanic-ensemble-modelling", "kernel_id": "8045167"}, {"ref": "ulafiliz/titanic-competition", "kernel_id": "8956877"}, {"ref": "mugdeshhole/titanic-sub2", "kernel_id": "8559054"}, {"ref": "kojiiwase/ds-pandas", "kernel_id": "8299881"}, {"ref": "kojiiwase/ds3matplo", "kernel_id": "8347130"}, {"ref": "leelamanasa/titanic-analysis", "kernel_id": "8851788"}, {"ref": "rahulgupta28/getting-started-with-titanic-dataset", "kernel_id": "8013825"}, {"ref": "ashwinpednekar/titanic-eda-and-prediction", "kernel_id": "8734312"}, {"ref": "skylershi/skyler-titanic-ml-model", "kernel_id": "8419076"}, {"ref": "ashishpsharma/titanic-survival-with-random-forest-classification", "kernel_id": "8360088"}, {"ref": "prashantlal/titanic-solution", "kernel_id": "8200015"}, {"ref": "suatakbulut/titanic-eda-and-ml-prediction", "kernel_id": "8034232"}, {"ref": "mykoladanyliuk/titanic-pytorch-nn-tutorial", "kernel_id": "8790045"}, {"ref": "urayukitaka/starting-titanic-prediction-of-survivor", "kernel_id": "8810978"}, {"ref": "pranjal3230/titanic-with-tensorflow2-0", "kernel_id": "8406155"}, {"ref": "suthirs/titanic-dataset-null-missing-values-treatment", "kernel_id": "8031517"}, {"ref": "nitishksingh/eda-on-titanic", "kernel_id": "8929747"}, {"ref": "harunfatihzkal/kernelfortitaniceda", "kernel_id": "8220070"}, {"ref": "rohitsahoo/titanic-survival-prediction", "kernel_id": "8976801"}, {"ref": "vitorsr/titanic-decompositions", "kernel_id": "8257500"}, {"ref": "vitorsr/titanic-randomforestclassifier", "kernel_id": "8143656"}, {"ref": "belugawhale/most-simple-classification-code", "kernel_id": "8152204"}, {"ref": "kunwoochang/kernel330130826d", "kernel_id": "8631120"}, {"ref": "vipulkumar8292/kernel716b81fd69", "kernel_id": "8554621"}, {"ref": "itachiuchiha10/survival-titanic", "kernel_id": "8073197"}, {"ref": "soheilarouhi/titanic-competition", "kernel_id": "8727157"}, {"ref": "gertvandevreede/randomforest-to-predict-life-at-sea", "kernel_id": "8814054"}, {"ref": "tomokiyamamoto/visualize-of-titanic-data", "kernel_id": "8094904"}, {"ref": "joshuaisanan/titanic-eda-logistic-regression-random-forest", "kernel_id": "8560794"}, {"ref": "tarang025/titanic-eda-machine-learning-data-science", "kernel_id": "8090808"}, {"ref": "michellgermano/titanic-using-pycaret", "kernel_id": "8981519"}, {"ref": "nxrprime/tutorial-your-data-science-workflow-w-python", "kernel_id": "8572522"}, {"ref": "stephanieekekwe/titanic-survival-prediction", "kernel_id": "8336552"}, {"ref": "phenomarc/titanic-eda-and-ml-introduction", "kernel_id": "8319257"}, {"ref": "ismailkaya83/titanic-prediction-0-80861", "kernel_id": "8275268"}, {"ref": "shreepy/titanic-starter", "kernel_id": "8444417"}, {"ref": "robbiebeane/titanic-01", "kernel_id": "8027651"}, {"ref": "mindwork/titanic-nn", "kernel_id": "8073806"}, {"ref": "shimomatomoya/titanic-for-mla", "kernel_id": "8611552"}, {"ref": "nolenja/titanic-eda-ml-with-python", "kernel_id": "8329867"}, {"ref": "jeffreyoller/titanic-random-forest", "kernel_id": "8289114"}, {"ref": "jessiedeemarkgingo/competition-titanic", "kernel_id": "8058359"}, {"ref": "asami3/kernel76be0a6432", "kernel_id": "8437963"}, {"ref": "anarthal/titanic-binary-classification", "kernel_id": "8593468"}, {"ref": "utkualtun/titanic-eda", "kernel_id": "8915214"}, {"ref": "lutfiaafifah/titanic-survivor-prediction", "kernel_id": "8973322"}, {"ref": "cindyshin/kor-jy-eda-to-prediction-dietanic", "kernel_id": "8607094"}, {"ref": "taliac/titanic-dataset", "kernel_id": "8375366"}, {"ref": "yastikakumar/first-data-science-project-2", "kernel_id": "8244389"}, {"ref": "vikastrivedi/kernel4437a2498c", "kernel_id": "8430955"}, {"ref": "aayushgupta1122/simple-approach-to-titanic-solution", "kernel_id": "8746028"}, {"ref": "robertfreire/titanic-forest", "kernel_id": "8057623"}, {"ref": "amriteshk/kernel5517dbc564", "kernel_id": "8247587"}, {"ref": "andreashorlbeck/stacking-nn-logistic-regression-and-random-forest", "kernel_id": "8905978"}, {"ref": "egemenevlimoglu/titanic-prediction-step-by-step-beginner", "kernel_id": "8723037"}, {"ref": "santoshsharma23/santos23hw7part2", "kernel_id": "8659225"}, {"ref": "santoshsharma23/santos23hw7part1", "kernel_id": "8659199"}, {"ref": "santoshsharma23/santos23hw6part2", "kernel_id": "8467078"}, {"ref": "santoshsharma23/santos23hw6part1", "kernel_id": "8414407"}, {"ref": "santhoshit/getting-started-with-titanic", "kernel_id": "8492936"}, {"ref": "mervmerv/titanic-survival-with-roc-analysis", "kernel_id": "8928241"}, {"ref": "samarthvaru/kernel28aa8dad47", "kernel_id": "8905594"}, {"ref": "joseportoles/pandas-on-titanic", "kernel_id": "8183856"}, {"ref": "santitorresj/titanic-challenge", "kernel_id": "8371029"}, {"ref": "emrahuz/titanic-calisma", "kernel_id": "8102425"}, {"ref": "emrahuz/titanic-chi-square-test", "kernel_id": "8638453"}, {"ref": "naimensucares/titanic", "kernel_id": "8102420"}, {"ref": "dantefilu/keras-neural-network-a-hitchhiker-s-guide-to-nn", "kernel_id": "8271636"}, {"ref": "gurpreetheir/kernel31c31ed75f", "kernel_id": "8712418"}, {"ref": "azamatkibekbaev/titanic-aza", "kernel_id": "8179778"}, {"ref": "hal1001k/titanic-data-solution-with-random-forest", "kernel_id": "8293817"}, {"ref": "rahulrajsingh/titanic-firsttry", "kernel_id": "8367116"}, {"ref": "rahulrajsingh/titanic-randomforest-ensemblemodelling-top6", "kernel_id": "8376640"}, {"ref": "rahulrajsingh/titanic-trytwo", "kernel_id": "8376837"}, {"ref": "stuartwaller/titanic-1-2", "kernel_id": "8655394"}, {"ref": "pacomeperez/titanic-competition", "kernel_id": "8246925"}, {"ref": "jakobschmitt/ai-basics-jakob", "kernel_id": "8540952"}, {"ref": "abhimanyudasarwar/titanic-predictions", "kernel_id": "8874016"}, {"ref": "internauta1972/titanic-first-try-internauta1972", "kernel_id": "8549654"}, {"ref": "tashunsu/kernelf2c3e3580f", "kernel_id": "8044500"}, {"ref": "nicolasmalloy/titanic-classification", "kernel_id": "8760377"}, {"ref": "sazinsamin/titanic-2020-03-9", "kernel_id": "8471426"}, {"ref": "rssk00/comparing-models", "kernel_id": "8117409"}, {"ref": "muhammedhamzamalik/getting-started-with-the-titanic", "kernel_id": "8661063"}, {"ref": "sksahidulislam/titanic", "kernel_id": "8227390"}, {"ref": "nicschmitt/kernelae3e684596", "kernel_id": "8036063"}, {"ref": "lunweiwu/getting-started-with-titanic", "kernel_id": "8121604"}, {"ref": "imimfiit19/titanikbykoryakin", "kernel_id": "8210976"}, {"ref": "dmitrijstrizna/titanic-xgboost-vs-lightgbm", "kernel_id": "8316614"}, {"ref": "dmitrijstrizna/kerasstandardnnmodel", "kernel_id": "8307467"}, {"ref": "jeaeun/classification-practice", "kernel_id": "8249185"}, {"ref": "marioescalonilla/titanic-ml-solutions", "kernel_id": "8600594"}, {"ref": "erhanyumer/erhan-yumer-titanic-eda", "kernel_id": "8531209"}, {"ref": "jankapala/first-kaggle-notebook-titanic", "kernel_id": "8285778"}, {"ref": "chenlinqi/titanic", "kernel_id": "8538375"}, {"ref": "kaushikmurthi/titanic", "kernel_id": "8274289"}, {"ref": "gopalrahulrg/beginner-s-stop-pipeline-grid-search", "kernel_id": "8628080"}, {"ref": "manbirsingh/practice-problem-1-0-1", "kernel_id": "8419112"}, {"ref": "veensk/titanic-first-ml-program", "kernel_id": "8517172"}, {"ref": "veensk/titanic-multiple-classifier-analysis", "kernel_id": "8604380"}, {"ref": "ummugulsumguzelsoy/ultimate-titanik-eda-for-beginners", "kernel_id": "8789546"}, {"ref": "ummugulsumguzelsoy/titanic-eda", "kernel_id": "8773647"}, {"ref": "michaelajaoolarinoye/my-first-kaggle-analysis", "kernel_id": "8386264"}, {"ref": "hiroyasuokuno/kernel5e57f93934", "kernel_id": "8054015"}, {"ref": "manishpatidar/kernel4357043556", "kernel_id": "8355330"}, {"ref": "raulmuliana/titanic-using-logistic-regression", "kernel_id": "8763346"}, {"ref": "imsanjoykb/titanic-data-science-competition", "kernel_id": "8801169"}, {"ref": "jingnanyang/titanic", "kernel_id": "8032059"}, {"ref": "jaybarca/kernel1eb1170a6a", "kernel_id": "8659603"}, {"ref": "gayarohanangajanan/fork-of-kerneld53c27a1cf", "kernel_id": "8022074"}, {"ref": "dmcgow/titanic", "kernel_id": "8044486"}, {"ref": "aleksandrkolbas/titanic-random-forest", "kernel_id": "8502467"}, {"ref": "srinivasuaddanki/my-first-kernel", "kernel_id": "8742940"}, {"ref": "nikamr/titanic", "kernel_id": "8915385"}, {"ref": "darango94/churn-de-clientes-project-daniela", "kernel_id": "8583480"}, {"ref": "wwwflx/titanic-with-data-science-for-beginners", "kernel_id": "8008742"}, {"ref": "atharvasrivastava/titanic", "kernel_id": "8099661"}, {"ref": "ytotmt1/first-kernel-titanic-eda", "kernel_id": "8045715"}, {"ref": "canselboynukara/cbk-titanik-eda", "kernel_id": "8966284"}, {"ref": "bramosr/titanic-deep-learning", "kernel_id": "8926686"}, {"ref": "harabaci/titanic-eda-ha", "kernel_id": "8249608"}, {"ref": "matheuscoradini/titanic-feature-engineering-logistic-regression", "kernel_id": "8095919"}, {"ref": "venkateshthota/getting-started-with-titanic", "kernel_id": "8471460"}, {"ref": "thanhhungnguyen/titanic-version-2", "kernel_id": "8933395"}, {"ref": "haithemhermessi/titanic-prediction-of-passengers-survival", "kernel_id": "8322258"}, {"ref": "anulekhapal/titanic-data-science-solutions", "kernel_id": "8189809"}, {"ref": "anulekhapal/titanic-basic-solution-with-logistic-regression", "kernel_id": "8189720"}, {"ref": "anulekhapal/creating-a-model-by-decision-trees", "kernel_id": "8189576"}, {"ref": "barbarosnak/b-titanik-eda", "kernel_id": "8706886"}, {"ref": "yildizemre/titanic-eda-to-ml-beginner", "kernel_id": "8282319"}, {"ref": "yildizemre/titanic-eda", "kernel_id": "8226170"}, {"ref": "deepak434/kernelf29b6f34c3", "kernel_id": "8867809"}, {"ref": "aliakdeniz/titanic-solution", "kernel_id": "8862486"}, {"ref": "parkjunbum/my-first-code-with-titanic", "kernel_id": "8014039"}, {"ref": "esernur/titanic", "kernel_id": "8102424"}, {"ref": "meghanwatson/titanic-2", "kernel_id": "8552698"}, {"ref": "diogovilaviosa/titanic", "kernel_id": "8621576"}, {"ref": "mrzhanghw/kernel781f7dc666", "kernel_id": "8006987"}, {"ref": "mdsadabwasim/titanickernel", "kernel_id": "8025741"}, {"ref": "kolluriraju/pandas-100-tricks", "kernel_id": "8980779"}, {"ref": "furkanmuaz/bomba-titanic", "kernel_id": "8303387"}, {"ref": "damingcn/titanic-disaster", "kernel_id": "8279420"}, {"ref": "sakshamrajshokeen/kernel712449f417", "kernel_id": "8033311"}, {"ref": "ekzemplaro/titanic-r", "kernel_id": "8761896"}, {"ref": "ekzemplaro/titanic-start-book-aug28", "kernel_id": "8660028"}, {"ref": "chadhopkins/titanic", "kernel_id": "8105484"}, {"ref": "adakibet/titanic-data-xgbclassifier", "kernel_id": "8820453"}, {"ref": "cneytayka/titanik-projem-eda", "kernel_id": "8564517"}, {"ref": "samtabbutt/quick-and-easy-titanic-solution", "kernel_id": "8789451"}, {"ref": "jinameliachoi/getting-started-with-titanic", "kernel_id": "8313013"}, {"ref": "iliaseliasbarmpar/getting-started-with-titanic", "kernel_id": "8058719"}, {"ref": "lukasbiton/titanic-analysis", "kernel_id": "8333282"}, {"ref": "mustafabozkurt/titanic-3-ml", "kernel_id": "8561667"}, {"ref": "alicoo96/yeetanic", "kernel_id": "8799822"}, {"ref": "jaeminiman/hi-kaggle-with-titinic-data-random-forest", "kernel_id": "8075514"}, {"ref": "gamebo11/my-poor-attempt-at-stacking", "kernel_id": "8379609"}, {"ref": "ramontanoeiro/titanic-competition", "kernel_id": "8370213"}, {"ref": "alansabino/titanic-machine-learning", "kernel_id": "8469543"}, {"ref": "lamoramortis/titanic-eda", "kernel_id": "8308554"}, {"ref": "darwinwin/automl-approach-for-titanic", "kernel_id": "8086799"}, {"ref": "darwinwin/titanic-survival-solution-by-automl", "kernel_id": "8086794"}, {"ref": "darwinwin/titanic-h2o-automl", "kernel_id": "8088949"}, {"ref": "darwinwin/a-quick-try-of-h2o-automl-on-titanic-dataset", "kernel_id": "8088951"}, {"ref": "darwinwin/h2o-automl", "kernel_id": "8088952"}, {"ref": "darwinwin/titanic-automl-091fc3", "kernel_id": "8088956"}, {"ref": "darwinwin/titanic-automl", "kernel_id": "8084425"}, {"ref": "darwinwin/super-short-automl-model-for-titanic", "kernel_id": "8084441"}, {"ref": "darwinwin/titanic-competition-with-tpot-automl-tool", "kernel_id": "8130770"}, {"ref": "darwinwin/titanic", "kernel_id": "8186862"}, {"ref": "darwinwin/titanic-guide-with-sklearn-and-eda", "kernel_id": "8190678"}, {"ref": "darwinwin/titanic-eda-to-ml-beginner", "kernel_id": "8190913"}, {"ref": "darwinwin/titanic-survival-seaborn-and-ensembles", "kernel_id": "8190914"}, {"ref": "darwinwin/titanic-0-83253-comparison-20-popular-models", "kernel_id": "8191365"}, {"ref": "darwinwin/automatic-selection-from-20-classifier-models", "kernel_id": "8191656"}, {"ref": "darwinwin/model-comparison-sklearn", "kernel_id": "8191657"}, {"ref": "darwinwin/simple-models-for-beginners-with-eda", "kernel_id": "8191661"}, {"ref": "annesophieclaudel/titanic-my-first-try-with-xgboost", "kernel_id": "8084813"}, {"ref": "daegalmagic/kernel3bb71d713c", "kernel_id": "8219847"}, {"ref": "rihim421/titanic", "kernel_id": "8460401"}, {"ref": "maramedrees/titanic-group-4", "kernel_id": "8256137"}, {"ref": "mansipriya/missing-values-handling", "kernel_id": "8259805"}, {"ref": "hessatmim/titanic", "kernel_id": "8256699"}, {"ref": "myasiny/taytanik-basic-classification", "kernel_id": "8100276"}, {"ref": "gulsumyetim/data-science-starter-notebook-with-3-ml-algorithms", "kernel_id": "8477682"}, {"ref": "gulsumyetim/titanic-notebook-gul", "kernel_id": "8512671"}, {"ref": "gulsumyetim/titanic-survival-predictions-beginner", "kernel_id": "8305019"}, {"ref": "cubanlebowski/titanic-prediction", "kernel_id": "8566970"}, {"ref": "farukoz/titanic-veri", "kernel_id": "8102456"}, {"ref": "esratepebasi/kernel785800e674", "kernel_id": "8102422"}, {"ref": "eminetuba/kernel3566c6c010", "kernel_id": "8102441"}, {"ref": "ftmozc/titanic-survival-prediction", "kernel_id": "8527497"}, {"ref": "wangqiyuan/super-short-automl-model-for-titanic", "kernel_id": "8103388"}, {"ref": "wangqiyuan/titanic-survival-solution-by-automl", "kernel_id": "8103389"}, {"ref": "wangqiyuan/titanic-automl", "kernel_id": "8103390"}, {"ref": "wangqiyuan/h2o-automl", "kernel_id": "8103391"}, {"ref": "wangqiyuan/a-quick-try-of-h2o-automl-on-titanic-dataset", "kernel_id": "8103392"}, {"ref": "wangqiyuan/automl-approach-for-titanic", "kernel_id": "8103393"}, {"ref": "wangqiyuan/automatic-selection-from-20-classifier-models", "kernel_id": "8193719"}, {"ref": "wangqiyuan/easiestwaytoget100-accuacymethod", "kernel_id": "8193721"}, {"ref": "wangqiyuan/titanic-eda-hyperparameters", "kernel_id": "8193722"}, {"ref": "wangqiyuan/titanic-top-3-full-eda-model", "kernel_id": "8193725"}, {"ref": "homydata/twhat-happened-in-titanic-do-you-want-to-know", "kernel_id": "8510995"}, {"ref": "homydata/data-science-starter-notebook-with-3-ml-algorithms", "kernel_id": "8391098"}, {"ref": "ozaninal/the-most-ideal-result-with-the-least-variable", "kernel_id": "8431431"}, {"ref": "ahmdtolba/titanic-data-science-solutions", "kernel_id": "8462449"}, {"ref": "manishkumar77/first-hand-on-ml-titanic-80-random-forest", "kernel_id": "8454955"}, {"ref": "rifatkayabasi/titanic-competition", "kernel_id": "8466044"}, {"ref": "aparnaranjith/kernel4b6698f149", "kernel_id": "8119845"}, {"ref": "damiencheriaux/machine-learning-m-thodes-usuelles-en-python", "kernel_id": "8319686"}, {"ref": "uysalserkan/basic-codes-on-the-titanic", "kernel_id": "8270314"}, {"ref": "refikyorganc/data-scientist-starter-notebook-titanic-ml", "kernel_id": "8566324"}, {"ref": "mitceylan/kernel4d2cb9e971", "kernel_id": "8352914"}, {"ref": "gokhanguder/learning-from-titanic-disaster", "kernel_id": "8553998"}, {"ref": "emreylecan/titanic-starter-notebook", "kernel_id": "8544563"}, {"ref": "aonursert/titanic-with-logistic-regression", "kernel_id": "8225171"}, {"ref": "sahilpatni95/titanic-ml-and-ds", "kernel_id": "8348547"}, {"ref": "ik512450/titanic-prob", "kernel_id": "8455859"}, {"ref": "kasimecer/titanic", "kernel_id": "8399094"}, {"ref": "berkanacar/full-ml-work-flow-tuning-10-models-and-ensembling", "kernel_id": "8621288"}, {"ref": "haluk75/titanic-results", "kernel_id": "8515706"}, {"ref": "mustafa097/titanic-data-science-starter-notebook-ml", "kernel_id": "8386721"}, {"ref": "yusufknc/titanic-survival-prediction", "kernel_id": "8391717"}, {"ref": "muhammetcimci/easy-titanic-survival-prediction-notebook", "kernel_id": "8285983"}, {"ref": "alfarias/fastanic-fastai-pandas-profiling-h2o-automl", "kernel_id": "8993843"}, {"ref": "stefanbschneider/titanic-super-simple-quickstart", "kernel_id": "8180397"}, {"ref": "demangejeremy/titanic-survived", "kernel_id": "8164828"}, {"ref": "letciagomescsilva/titanic-survival-prediction", "kernel_id": "8949994"}, {"ref": "lpswangyongpeng/get-machine-learning-with-the-titannic", "kernel_id": "8165935"}, {"ref": "mathieuprovost/kaggle-titanic", "kernel_id": "8164211"}, {"ref": "sainiknitin/nitin-saini-walking-through-titanic-dataset", "kernel_id": "8173337"}, {"ref": "biswabhusanpradhan/titanic-prediction-with-logistic-regression", "kernel_id": "8480631"}, {"ref": "eraviral34/titanic", "kernel_id": "8975529"}, {"ref": "aizirekturganbaeva/titanic-class", "kernel_id": "8179631"}, {"ref": "sonamagarwal70/titanic-1", "kernel_id": "8189375"}, {"ref": "pennapamuangphan/world-university-rankings", "kernel_id": "8288398"}, {"ref": "ryandwitama/titanic-challenge", "kernel_id": "8378507"}, {"ref": "annanshao/geted-start-by-titanic", "kernel_id": "8188337"}, {"ref": "requinalouis/creating-a-model-by-decision-trees", "kernel_id": "8189655"}, {"ref": "davidpanbers14/kernel17f224de78", "kernel_id": "8331302"}, {"ref": "rafaelvalado/machine-learning-titanic", "kernel_id": "8728684"}, {"ref": "anjalishaw/kernelaf432c5519", "kernel_id": "8388763"}, {"ref": "davidrivasphd/binary-classification", "kernel_id": "8295128"}, {"ref": "omniaabdelrahman/fork-of-kernel7b98feb521", "kernel_id": "8589282"}, {"ref": "bdokkkk/kernelanic", "kernel_id": "8692899"}, {"ref": "bdokkkk/kernelanic-v2-but-non-binary", "kernel_id": "8891329"}, {"ref": "keitarodev/upura-kaggle-tutorial-01-first-submission", "kernel_id": "8941776"}, {"ref": "parthp94/predict-1", "kernel_id": "8514925"}, {"ref": "dominikburkert/nb-1-random-forrest-classifier-81-7", "kernel_id": "8234548"}, {"ref": "nishkarshjain5/titanic1", "kernel_id": "8556798"}, {"ref": "janavrzalova/janative-notebook-1", "kernel_id": "8478975"}, {"ref": "sahmed1217/titanic-competition-random-forest", "kernel_id": "8350287"}, {"ref": "hamzaboulhdoub/titanic-project", "kernel_id": "8248794"}, {"ref": "willsni/getting-started-with-titanic-willsni", "kernel_id": "8240051"}, {"ref": "christosmalamas/data-submission-1-0", "kernel_id": "8426278"}, {"ref": "mvanderw/wcg-xgboost-ensemble-python-0-84210", "kernel_id": "8709953"}, {"ref": "u19900101/tatinic-with-one-neural", "kernel_id": "8890640"}, {"ref": "gopinath2018/kernel1gopi", "kernel_id": "8260017"}, {"ref": "ivankartashow/titanicsolution", "kernel_id": "8541471"}, {"ref": "thisisivyliu/getting-started-with-titanic", "kernel_id": "8456222"}, {"ref": "kaifujii/titanic-2-japanese", "kernel_id": "8536223"}, {"ref": "sadullahkarapiak/titanic-top-4-with-ensemble-modeling", "kernel_id": "8433176"}, {"ref": "sadullahkarapiak/introduction-to-ensembling-stacking-in-python", "kernel_id": "8313483"}, {"ref": "sadullahkarapiak/kernel50c6b772d0", "kernel_id": "8533925"}, {"ref": "sadullahkarapiak/data-science-starter-notebook-with-3-ml-algorithms", "kernel_id": "8449503"}, {"ref": "sadullahkarapiak/titanic-prediction-using-decision-tree-rf-xgb", "kernel_id": "8718572"}, {"ref": "sadullahkarapiak/full-ml-work-flow-tuning-12-models-and-ensembling", "kernel_id": "8665873"}, {"ref": "hlldmr/titanic-survival-prediction-for-beginners", "kernel_id": "8480473"}, {"ref": "hemanthdavuluri/titanic-survival-prediction", "kernel_id": "8996214"}, {"ref": "abdurrahimbalta/t-tanik-eda", "kernel_id": "8858651"}, {"ref": "ads071/kernel47ad1d845e", "kernel_id": "8303838"}, {"ref": "avishakemaji/titanic", "kernel_id": "8455713"}, {"ref": "denozavrus/kernel3500e02f35", "kernel_id": "8427451"}, {"ref": "martyboggs/titanic-tutorial", "kernel_id": "8372281"}, {"ref": "matthewlord/naive-bayes-for-titanic", "kernel_id": "8346461"}, {"ref": "krparekh24/titanic-people-survival-prediction", "kernel_id": "8560284"}, {"ref": "ananyaroy1011/getting-started-with-titanic", "kernel_id": "8315157"}, {"ref": "deepkamalsingh/titanic", "kernel_id": "8489951"}, {"ref": "yowtshjhj/titanic-survivor-prediction-ez-gg-noob-80", "kernel_id": "8927109"}, {"ref": "munjalmukul/mukul-titanic-survival-prediction", "kernel_id": "8558202"}, {"ref": "esmaelma/titanic-projesi", "kernel_id": "8320477"}, {"ref": "viktorkisly/titanic-ml", "kernel_id": "8379746"}, {"ref": "tongythin/titanic", "kernel_id": "8797142"}, {"ref": "emraheldemir/titanic-survival-forecasts", "kernel_id": "8547424"}, {"ref": "raghadalharbi/titanic-classification-accuracy-0-79904", "kernel_id": "8540672"}, {"ref": "hazimakl/titanic-eda-hcakil", "kernel_id": "8341432"}, {"ref": "vladzern/titanic-version1", "kernel_id": "8364337"}, {"ref": "osuolaleemmanuel/titanic-datasets-ml-with-r-journey-to-top-1", "kernel_id": "8426983"}, {"ref": "hilalkrkpnar/data-science-starter-notebook-with-3-ml-algorithms", "kernel_id": "8548053"}, {"ref": "inbarshirizly/getting-started-with-titanic", "kernel_id": "8370046"}, {"ref": "recvtx/titanic-sklearn", "kernel_id": "8659543"}, {"ref": "fakhrezasoerono/titanic-classification-results-0-79425", "kernel_id": "8869496"}, {"ref": "tomkillin2/titanic-xgboost-with-hyperparameter-optimisation", "kernel_id": "8378622"}, {"ref": "nicolassitorus/kernel11304e4d22", "kernel_id": "8382829"}, {"ref": "jianghanhan/titanic-for-beginner-in-chinese", "kernel_id": "8976831"}, {"ref": "aghandemir/titanic-survival-prediction-using-with-crisp-dm", "kernel_id": "8510951"}, {"ref": "yussefayman/titanic-survival-decisiontree", "kernel_id": "8382696"}, {"ref": "mrvtrk/mrveturk-titanic-eda", "kernel_id": "8578646"}, {"ref": "jliobengtsonneves/titanic-survival-prediction-ml-decision-tree", "kernel_id": "8934990"}, {"ref": "jatanrathod13/titanic-machine-learning-from-disaster", "kernel_id": "8405518"}, {"ref": "samtsuihy/probability-trick-a-risk-taking-approach", "kernel_id": "8702852"}, {"ref": "kosukehagiwara/kernel1575fca46b", "kernel_id": "8511212"}, {"ref": "kosukehagiwara/kernel2e5f888572", "kernel_id": "8750145"}, {"ref": "kosukehagiwara/kernel7c26b2e471", "kernel_id": "8668561"}, {"ref": "haticekala/data-science-beginner-notebook", "kernel_id": "8634310"}, {"ref": "somitragupta/ti-ta-nick", "kernel_id": "8791113"}, {"ref": "thomaswoolley/rf-and-k-nn-titanic-0-77-score", "kernel_id": "8973640"}, {"ref": "anubhavjin/titanic-anlaysis-data-complete-with-94-accurcy", "kernel_id": "8522525"}, {"ref": "masayakimura/lrortree-program", "kernel_id": "8420236"}, {"ref": "nanopasha/kernel3d02d60632", "kernel_id": "8407468"}, {"ref": "mathisjander/titanic-competition", "kernel_id": "8423183"}, {"ref": "palmzhang/beginingtitanic", "kernel_id": "8424307"}, {"ref": "jeongyuncha/titanic-competition", "kernel_id": "8607433"}, {"ref": "naciener/machine-learning-titanic-notebook-for-beginners", "kernel_id": "8411074"}, {"ref": "felixhaba/knearestneighbors", "kernel_id": "8755358"}, {"ref": "toshikinakashima/titanic", "kernel_id": "8487040"}, {"ref": "richma/d-dot-rm1", "kernel_id": "8421180"}, {"ref": "royisland/getting-started-with-titanic", "kernel_id": "8424495"}, {"ref": "shinnishimura/kernel1816a5ce36", "kernel_id": "8661144"}, {"ref": "omezario/upura-kaggle-tutorial-01-first-submission", "kernel_id": "8624924"}, {"ref": "minalsheth/getting-started", "kernel_id": "8791816"}, {"ref": "albeffe/first-kaggle-notebook", "kernel_id": "8533044"}, {"ref": "anshul49/basic-code", "kernel_id": "8825065"}, {"ref": "semihakmese/titanic-eda-semihakmese", "kernel_id": "8582398"}, {"ref": "nbayana/titanik-project-by-nba", "kernel_id": "8471971"}, {"ref": "shinbg/titanic-disaster-binary-classification", "kernel_id": "8537625"}, {"ref": "arnabdas8901/simple-fully-connected-model-for-prediction", "kernel_id": "8651233"}, {"ref": "rutujarane1/titanic-machine-learning-from-disaster", "kernel_id": "8453233"}, {"ref": "hrnaka/titanictest-hrnaka", "kernel_id": "8437669"}, {"ref": "cemresahinoglu/titanicproject", "kernel_id": "8539333"}, {"ref": "prashantcodes/first-attempt-titanic", "kernel_id": "8592704"}, {"ref": "ryumaee/upura-kaggle-tutorial-01-first-submission", "kernel_id": "8705766"}, {"ref": "jacmod/kernel2d903d7e45", "kernel_id": "8614721"}, {"ref": "ebubekirkaraoglu/data-science-starter-notebook-with-3-ml-algorithms", "kernel_id": "8447601"}, {"ref": "henrycat/titanic", "kernel_id": "8935090"}, {"ref": "yoshitakaito/titanic-prediction-ver-1", "kernel_id": "8519542"}, {"ref": "yoshitakaito/titanic-prediction-ver-3", "kernel_id": "8590841"}, {"ref": "yoshitakaito/titanic-prediction-ver-2", "kernel_id": "8570671"}, {"ref": "yoshitakaito/titanic-prediction-ver-4", "kernel_id": "8623362"}, {"ref": "yoshitakaito/titanic-prediction-ver-5", "kernel_id": "8630207"}, {"ref": "yoshitakaito/titanic-prediction-ver-6", "kernel_id": "8660043"}, {"ref": "yoshitakaito/titanic-prediction-ver-7", "kernel_id": "8662800"}, {"ref": "svetakhar/kernel881a6d63b5", "kernel_id": "8662128"}, {"ref": "dmitrymaksimov/titanic-classified", "kernel_id": "8692317"}, {"ref": "emineozyilmaz/data-science-starter-notebook-with-3-ml-algorithms", "kernel_id": "8463086"}, {"ref": "pg1007/titanic-analysis", "kernel_id": "8998869"}, {"ref": "sraj5162/kernel3b3343fe38", "kernel_id": "8500728"}, {"ref": "sarahaljudaibi/titanic-survivor-prediction", "kernel_id": "8765556"}, {"ref": "thiagobodruk/predicting-titanic-survivors", "kernel_id": "8811511"}, {"ref": "yetisenpai/titanic-laba", "kernel_id": "8472169"}, {"ref": "evgeniysnegirev/titanic-lab-1", "kernel_id": "8472291"}, {"ref": "evgeniysnegirev/titanic-lab-3", "kernel_id": "8626493"}, {"ref": "svetlana126/titanic", "kernel_id": "8510793"}, {"ref": "alyonaakulova/wine-test", "kernel_id": "8526457"}, {"ref": "alyonaakulova/titanic1", "kernel_id": "8523514"}, {"ref": "trubikhina/kernel75444f2072", "kernel_id": "8603452"}, {"ref": "alenasmirnova/kernel122b149064", "kernel_id": "8562322"}, {"ref": "sebaxtian/getting-started-with-titanic", "kernel_id": "8516500"}, {"ref": "rihambougnaber/riham", "kernel_id": "8721090"}, {"ref": "olgaberezovsky/predicting-titanic-survival-using-most-common-ml", "kernel_id": "8954097"}, {"ref": "priyankacharya/titanic-second-attempt-revised", "kernel_id": "8594129"}, {"ref": "priyankacharya/titanic-second-attempt", "kernel_id": "8589574"}, {"ref": "priyankacharya/titanic-first-attempt", "kernel_id": "8578412"}, {"ref": "priyankacharya/titanic-fourth-attempt", "kernel_id": "8611337"}, {"ref": "yosher/exploratory-analysis-on-titanic", "kernel_id": "8611712"}, {"ref": "marinapopova1998/titanik", "kernel_id": "8563228"}, {"ref": "marinapopova1998/titanik-2", "kernel_id": "8646279"}, {"ref": "nikolayshchiponikov/kernelspeedy", "kernel_id": "8529626"}, {"ref": "nikolayshchiponikov/kernel-titanic", "kernel_id": "8575709"}, {"ref": "aneeshashoka/titanic-survival", "kernel_id": "8496930"}, {"ref": "sofia16/kernel1da2522938", "kernel_id": "8646084"}, {"ref": "anastasia1606/kernel586525025f", "kernel_id": "8562665"}, {"ref": "mandardamodare/kernel2d25a46910", "kernel_id": "8747925"}, {"ref": "ecsabanci/titanic-eda", "kernel_id": "8666413"}, {"ref": "droon000/kernel29e9985263", "kernel_id": "8562528"}, {"ref": "gizemakbay/gizem-titanic-eda", "kernel_id": "8543003"}, {"ref": "furkanyilmaz99/titanic-machinelearning", "kernel_id": "8578326"}, {"ref": "celalumutkenanoglu/titanic-umut", "kernel_id": "8645696"}, {"ref": "anastasiabulyukina/titanic", "kernel_id": "8516115"}, {"ref": "kirilludalov/kernel3bec8b4a36", "kernel_id": "8512688"}, {"ref": "karlkuprian/step-by-step-pipeline-with-pandas-dataframes", "kernel_id": "8825052"}, {"ref": "anias2020/kernel7db6cb7030", "kernel_id": "8513664"}, {"ref": "blueturtle/titanic-logistic-regression-0-74162", "kernel_id": "8561613"}, {"ref": "blueturtle/titanic-neural-network-0-65", "kernel_id": "8549558"}, {"ref": "kazuakitakeuchi/titanic-compe-jap", "kernel_id": "8520780"}, {"ref": "umangmundra/titanic-survival", "kernel_id": "8556176"}, {"ref": "elenaveselova/kernel256424cc2a", "kernel_id": "8617018"}, {"ref": "dianayakimova/kernel586525025f", "kernel_id": "8564470"}, {"ref": "anastasia0s/kernel14138b6030", "kernel_id": "8562307"}, {"ref": "ivanprimenko/laboratory-1", "kernel_id": "8647027"}, {"ref": "tobycook97/toby-titanic", "kernel_id": "8799969"}, {"ref": "marianovikova12/kernel7cf8eee44d", "kernel_id": "8591167"}, {"ref": "ghalib93/titanic", "kernel_id": "8774938"}, {"ref": "abdulrahmanalqannas/predict-chance-of-survival", "kernel_id": "8803581"}, {"ref": "ryukiono/houseprice", "kernel_id": "8885055"}, {"ref": "yuliausacheva/kernel1e2951c86f", "kernel_id": "8562342"}, {"ref": "elente/titanic-competition-test", "kernel_id": "8542962"}, {"ref": "avnika22/titanic-machine-learning-from-disaster", "kernel_id": "8922240"}, {"ref": "sayonbanerjee/titanic-accuracy-prediction-beginner", "kernel_id": "8891665"}, {"ref": "nicolastocchiero/getting-started-with-titanic", "kernel_id": "8650924"}, {"ref": "marcoliguori/titanic-basic-steps-for-1st-prediction", "kernel_id": "8916554"}, {"ref": "calkjm/titanic-1", "kernel_id": "8556777"}, {"ref": "nadezhdak/titanic", "kernel_id": "8558590"}, {"ref": "mehulshah0530/titanic-machine-learning", "kernel_id": "8906530"}, {"ref": "lancebyrd/lanceandmilestitanic", "kernel_id": "8565398"}, {"ref": "dungvu10/1st-learn-for-titanic", "kernel_id": "8785738"}, {"ref": "solyoh21/head-start-for-data-scientist-tes", "kernel_id": "8916908"}, {"ref": "aleksandrpilipenko/top-5-with-30-lines-of-code-ann-for-titanic", "kernel_id": "8813499"}, {"ref": "aisuluudzhumabekova/titanic-competention", "kernel_id": "8956005"}, {"ref": "saetron/titanic-basic-notebook", "kernel_id": "8684589"}, {"ref": "proteemganguly/titanic-problem-with-random-forest-81-8-score", "kernel_id": "8599515"}, {"ref": "mariedebi/mariedeb-titanic-notebook-ml", "kernel_id": "8910260"}, {"ref": "mariedebi/md-clean-titanic-notebook-ml", "kernel_id": "8942775"}, {"ref": "rfluisa/titanic-ml-studies", "kernel_id": "8709750"}, {"ref": "samarskayana/samarskayana", "kernel_id": "8615372"}, {"ref": "mixail/titasnic", "kernel_id": "8612994"}, {"ref": "vrushabhlengade/titanic-knn-decision-tree-logistic-reg-ensemble", "kernel_id": "8633162"}, {"ref": "migueljr/mytitanic-mjr", "kernel_id": "8986546"}, {"ref": "macsimu/gender-submission", "kernel_id": "8646654"}, {"ref": "bharatsinghal/bp-titanic-solution", "kernel_id": "8748597"}, {"ref": "vishnu691999/titanic-for-beginners", "kernel_id": "8970551"}, {"ref": "soumenatta/getting-started-with-titanic", "kernel_id": "8638606"}, {"ref": "zgrdenizdursun/titanic-scripts", "kernel_id": "8847080"}, {"ref": "aminebrahime/mad-scientists-titanic", "kernel_id": "8633627"}, {"ref": "ddarkk007/titanic-project-notebook", "kernel_id": "8664225"}, {"ref": "brendalf/titanic-80-of-accuracy", "kernel_id": "8640573"}, {"ref": "jlrodriguezsotelo/titanic-data-science-solutions", "kernel_id": "8698232"}, {"ref": "woongjejo/first-step-with-titanic", "kernel_id": "8881069"}, {"ref": "uenoyuta/kernel23640b3873", "kernel_id": "8719682"}, {"ref": "shekkalongarnald/titanic-prediction-shekkalong-arnald", "kernel_id": "8648616"}, {"ref": "soohsung/soohyunsung0324", "kernel_id": "8644970"}, {"ref": "taoguan/titanic-use-keras", "kernel_id": "8662763"}, {"ref": "ivanmatisov/titanik1", "kernel_id": "8651087"}, {"ref": "ivanmatisov/kernel12b7068d62", "kernel_id": "8651635"}, {"ref": "ivanmatisov/kernel204327de29", "kernel_id": "8651697"}, {"ref": "alessiograsselli/titanic", "kernel_id": "8672384"}, {"ref": "ehsaner/survived-passengers-of-titanic", "kernel_id": "8697664"}, {"ref": "dmkravtsov/4-0-titanic", "kernel_id": "8664463"}, {"ref": "irfansumapraja/titanic-case-using-logistic-regression-for-newbie", "kernel_id": "8763347"}, {"ref": "dinamuktubayeva/titanic-competition", "kernel_id": "8779763"}, {"ref": "svetlanaiyshanina/kernel13863b4c5a", "kernel_id": "8669928"}, {"ref": "aryamaanpandey/titanic-ensemble-model", "kernel_id": "8673422"}, {"ref": "jm0109/titanic-1st-sjm", "kernel_id": "8676734"}, {"ref": "senthilskm/score80-titanicrandomforest", "kernel_id": "8929585"}, {"ref": "sezgincirit/data-science-titanik-sample-sezgin", "kernel_id": "8756939"}, {"ref": "clemensreinthaler/tutorial-getting-started-w-titanic", "kernel_id": "8687644"}, {"ref": "abishekvenkatesh/kernel33d9e616fa", "kernel_id": "8730148"}, {"ref": "joshbarrios/random-forest-for-titanic-prediction-problem", "kernel_id": "8692719"}, {"ref": "padames/titanic-data-analysis-with-base-line-models", "kernel_id": "8787454"}, {"ref": "gup11419/exploratory-data-analysis-on-the-titanic-dataset", "kernel_id": "8698063"}, {"ref": "loomis/a-guideline-on-starting-a-kaggle-competition", "kernel_id": "8702256"}, {"ref": "michaelnorris89/titanic-challenge-notebook", "kernel_id": "8708126"}, {"ref": "rrpyyy/kaggle-start-book-2-3", "kernel_id": "8985994"}, {"ref": "anilisk/titanic-eda-as-my-practice", "kernel_id": "8819050"}, {"ref": "pbokieee/getting-started-with-titanic", "kernel_id": "8721194"}, {"ref": "dmitryshkadarevich/titanic-competition", "kernel_id": "8721647"}, {"ref": "arthurtorresbaio/titanic", "kernel_id": "8857282"}, {"ref": "jrl314/kernelb2a076f8b8", "kernel_id": "8727690"}, {"ref": "roge2001/basic-decision-tree-algorithm", "kernel_id": "8997462"}, {"ref": "nathanedwards0/kernel2d22948c4f", "kernel_id": "8952398"}, {"ref": "darrenjiang/titanic", "kernel_id": "8754151"}, {"ref": "gloriarodrigues/gloria-titanic", "kernel_id": "8902421"}, {"ref": "eyupcaki/e-caki-titanic-eda", "kernel_id": "8877329"}, {"ref": "maficanada/test-notebook", "kernel_id": "8977696"}, {"ref": "akshukla283/titanic-data-set", "kernel_id": "8785161"}, {"ref": "akamineyuta/python-kaggle-start-book-ch02-01", "kernel_id": "8851877"}, {"ref": "daijirofukuda/kernel5313621013", "kernel_id": "8752764"}, {"ref": "mohitkaushik12/random-forest", "kernel_id": "8918019"}, {"ref": "mmmmtyrty/fate-analysis-of-couples-on-titanic-851", "kernel_id": "8947817"}, {"ref": "shivamsouravjha/kernel1616457b2f", "kernel_id": "8779932"}, {"ref": "hl0d0w1g/titanic-competition", "kernel_id": "8790976"}, {"ref": "ossyaritoori/decisiontreetrain-test", "kernel_id": "8979030"}, {"ref": "hoareauvangelis/titanic-vangelis-hoareau", "kernel_id": "8819022"}, {"ref": "justinflanagan/learning-kaggle-with-titanic-competition", "kernel_id": "8811609"}, {"ref": "justinflanagan/fork-of-learning-kaggle-with-titanic-competition", "kernel_id": "8919519"}, {"ref": "justinflanagan/titanic-using-keras-sequential-ai-for-beginners", "kernel_id": "8965295"}, {"ref": "kaushikmishra/titanicpredictor", "kernel_id": "8799224"}, {"ref": "jasper1234/titanic", "kernel_id": "8801090"}, {"ref": "buraky1/titanic-eda-example", "kernel_id": "8943456"}, {"ref": "igorlaryushin/kernel5f0edbf535", "kernel_id": "8854696"}, {"ref": "garuken/kernel4d158476c7", "kernel_id": "8951952"}, {"ref": "stanardmp/kernel327f91d863", "kernel_id": "8823646"}, {"ref": "schneemann/titanic", "kernel_id": "8940382"}, {"ref": "dinislamdarkhan/kernel7e3e5e8d6e", "kernel_id": "8833929"}, {"ref": "ademfurkan/titanik-project", "kernel_id": "8887662"}, {"ref": "sezaacar/sz-titanic-eda", "kernel_id": "8921334"}, {"ref": "shmuell/titanic-svm", "kernel_id": "8858498"}, {"ref": "nurgissaanuarbek/titanic", "kernel_id": "8853344"}, {"ref": "suyogsarda/getting-started-with-titanic", "kernel_id": "8855224"}, {"ref": "akarshsharma/titanic-notebook", "kernel_id": "8962338"}, {"ref": "fernandosette/titanic-competition", "kernel_id": "8896167"}, {"ref": "adzhilin/titanic", "kernel_id": "8956049"}, {"ref": "rcpgrtrk/8-titanic", "kernel_id": "8928523"}, {"ref": "amuhammedmadhih/titanic-journey-ml-from-disaster", "kernel_id": "8906403"}, {"ref": "sarthakdixit/jack-might-survive", "kernel_id": "8934676"}, {"ref": "shiravahav/kernel4f7c64e112", "kernel_id": "8949645"}, {"ref": "saanai/tutorial1", "kernel_id": "8926908"}, {"ref": "eliasfeitozafeitoza/competi-o-titanic", "kernel_id": "8984775"}, {"ref": "rahulkumarpatro/news-headlines-prediction-using-lstms", "kernel_id": "8940525"}, {"ref": "rahulkumarpatro/titanic-dataset-classification", "kernel_id": "8936330"}, {"ref": "daikihiguchi/kernel6db323e02a", "kernel_id": "8939182"}, {"ref": "ersinsen/titanic-data-menu-1", "kernel_id": "8990919"}, {"ref": "dilyanpenev/titanic-start", "kernel_id": "8948812"}, {"ref": "karslio/titanic", "kernel_id": "8989763"}, {"ref": "bekbulattashbolotov/titanic-competition", "kernel_id": "8956004"}, {"ref": "ataiisaev/titanic-problem", "kernel_id": "8963737"}, {"ref": "abdullokarimov/titanik", "kernel_id": "8956043"}, {"ref": "ipirez/linear-regression-trial", "kernel_id": "8966264"}, {"ref": "pramodmalla/kernel6c0e66a41f", "kernel_id": "8986817"}, {"ref": "akm132000/titanic-datset-analysis", "kernel_id": "8989402"}, {"ref": "varun2145/how-to-iterate-over-keras-layer-as-a-parameter", "kernel_id": "9450696"}, {"ref": "joydeep1/titanic-using-pycaret-1", "kernel_id": "9620228"}, {"ref": "kuberiitb/applied-machine-learning", "kernel_id": "9398582"}, {"ref": "nishantbhadauria/78-accuracy-with-h2o-automl-tutorial", "kernel_id": "9454506"}, {"ref": "swapnilpote/titanic-logistics-regression", "kernel_id": "9478274"}, {"ref": "rolandmueller/entscheidungsbaum-mit-dem-iris-datensatz", "kernel_id": "9925388"}, {"ref": "luonganhtuan93/plotting-in-python", "kernel_id": "9299397"}, {"ref": "gregdelima/titanic-kaggle-first-ml-learning", "kernel_id": "9475759"}, {"ref": "sumit21/titanic-problem", "kernel_id": "9233874"}, {"ref": "dandy1/titanic-multi-input-nn-model-with-tf2", "kernel_id": "9118358"}, {"ref": "daman1807/titanic-with-deeplearning", "kernel_id": "9691214"}, {"ref": "gaurangmehra/titanic-1", "kernel_id": "9101854"}, {"ref": "rscottreis/titanic-survivor-notebook", "kernel_id": "9576848"}, {"ref": "parulpandey/a-guide-to-handling-missing-values-in-python", "kernel_id": "9087882"}, {"ref": "iamnibedita/welcome-to-titanic-my-first-kaggle-contest", "kernel_id": "9473382"}, {"ref": "biyuyang/titanic-eda-model-training-and-scoring", "kernel_id": "9813107"}, {"ref": "tunguz/titanic-with-rapids-ds-on-gpus", "kernel_id": "9740683"}, {"ref": "mouna199/kernel5b16ce897e", "kernel_id": "9938276"}, {"ref": "ttahara/example-of-lgbm-custom-metric", "kernel_id": "9342170"}, {"ref": "ttahara/elementary-usage-example-of-pathlib-path", "kernel_id": "9296996"}, {"ref": "adityabhat/titanic-exploratory-data-analysis-prediction", "kernel_id": "9382133"}, {"ref": "raosindhu/titanic-python", "kernel_id": "9564687"}, {"ref": "phubert/titanic-rpart", "kernel_id": "9619476"}, {"ref": "ysjang0926/titanic-data-analysis-kor", "kernel_id": "9097468"}, {"ref": "sherli/complete-guide-for-titanic-survival-prediction", "kernel_id": "9585467"}, {"ref": "kripanshubhargava/titaniclogisticregression", "kernel_id": "9251099"}, {"ref": "subhamoybhaduri/a-novice-journey-through-titanic-dataset", "kernel_id": "9349979"}, {"ref": "apsivanesan/predicting-survival-of-the-titanic-disaster", "kernel_id": "9374773"}, {"ref": "rajalakshmi139/getting-started-with-titanic", "kernel_id": "9077467"}, {"ref": "ibarman/titanic-disaster", "kernel_id": "9500494"}, {"ref": "ramvellanki/kernel1f9c52695f", "kernel_id": "9230189"}, {"ref": "naini05/titanic-naini05", "kernel_id": "9681356"}, {"ref": "juan11/titanic-challenge", "kernel_id": "9626115"}, {"ref": "deepthimathew/titanic-survival-prediction", "kernel_id": "9828252"}, {"ref": "kliment/practical-titanic-using-scikit-learn", "kernel_id": "9604421"}, {"ref": "sridharaddagatla/titanic-2-0", "kernel_id": "9935667"}, {"ref": "emmanuellabudu/titanic-survival", "kernel_id": "9234745"}, {"ref": "vadimbezdushny/titanic-prediction-with-svm", "kernel_id": "9784447"}, {"ref": "geosko/titanic-nn", "kernel_id": "9014298"}, {"ref": "djpaulo/titanic-boost", "kernel_id": "9575276"}, {"ref": "djpaulo/my-maiden-voyage", "kernel_id": "9569076"}, {"ref": "djpaulo/iceberg-spotting", "kernel_id": "9567147"}, {"ref": "currypurin/titanic-pycaret-starter", "kernel_id": "9090093"}, {"ref": "currypurin/japanese-file-exchange-between-notebook-and-gcs", "kernel_id": "9147349"}, {"ref": "currypurin/japanese-mlflow-gcs-wip", "kernel_id": "9148361"}, {"ref": "indermohanbains/titanic-survivor-prediction", "kernel_id": "9708366"}, {"ref": "saint1729/getting-started-with-titanic-saint1729", "kernel_id": "9796857"}, {"ref": "priyanka21/titanic-survival-prediction", "kernel_id": "9583648"}, {"ref": "unfinishedgod/titanic-with-hands-on-ml", "kernel_id": "9518818"}, {"ref": "hiroka/titanic-logistic-regression", "kernel_id": "9345424"}, {"ref": "shubham2306/titnaicsurvival", "kernel_id": "9376184"}, {"ref": "fdolivar/titanic-simple-approach-randomforest", "kernel_id": "9343719"}, {"ref": "fdolivar/titanic-detailed-randomforest", "kernel_id": "9362650"}, {"ref": "sicaltus/titanic-survival-prediciton", "kernel_id": "9798193"}, {"ref": "marcusrb/1-eda-titanic-challenge-level-1", "kernel_id": "9288987"}, {"ref": "marcusrb/2-feature-engineering-titanic-level-1", "kernel_id": "9289189"}, {"ref": "nitishprasad15/titanic-dataset-with-pycaret-beginner-s-code", "kernel_id": "9025804"}, {"ref": "itsmuriuki/titanic", "kernel_id": "9212071"}, {"ref": "ravileo/pycaret-tutorial-using-titanic-dataset", "kernel_id": "9653753"}, {"ref": "v1proxy/titanic-survival-prediction-cosc-6397", "kernel_id": "9253166"}, {"ref": "donkeys/explaining-models-with-lime-et-al", "kernel_id": "9605458"}, {"ref": "scatteredflo/titanic-parameter-tuning-200602", "kernel_id": "9622395"}, {"ref": "scatteredflo/2-titanic-tutorial-for-study-200514", "kernel_id": "9471785"}, {"ref": "scatteredflo/titanic-tutorial", "kernel_id": "9106293"}, {"ref": "scatteredflo/titanic-tutorial-for-study-200730", "kernel_id": "9026232"}, {"ref": "scatteredflo/kernel5329e02534", "kernel_id": "9055338"}, {"ref": "fotone/hello-kaggle-with-tensorflow-2", "kernel_id": "9827274"}, {"ref": "guillaumesimler/titanic", "kernel_id": "9044290"}, {"ref": "mhcrnl/kernel352ebf6821", "kernel_id": "9334823"}, {"ref": "mhcrnl/07-titanic", "kernel_id": "9380908"}, {"ref": "stevenw95112/fork-of-titanic-tutorial", "kernel_id": "9480736"}, {"ref": "kusti8/hths-hacks-linear-regression", "kernel_id": "9424210"}, {"ref": "kusti8/hths-hacks-neural-networks", "kernel_id": "9424679"}, {"ref": "chinmaya88/titanic-for-beginners-explore-predict-conquer", "kernel_id": "9073719"}, {"ref": "ranamahmud/titanic-machine-learning-from-disaster-xgboost", "kernel_id": "9311614"}, {"ref": "sunehanigam/titanic-data-analysis", "kernel_id": "9063518"}, {"ref": "mikefan/beginner-titanic-data-analysis-prediction", "kernel_id": "9518752"}, {"ref": "tulikav/kernel38f6e5ba28", "kernel_id": "9361218"}, {"ref": "donmcallan/titanic", "kernel_id": "9591123"}, {"ref": "demidova/titanic-eda-tutorial", "kernel_id": "9671194"}, {"ref": "demidova/titanic-ml-tutorial-for-beginners", "kernel_id": "9938957"}, {"ref": "tarunpaparaju/mnist-competition-pytorch-nn", "kernel_id": "9867892"}, {"ref": "omartronco/kerneldbc2827456-o", "kernel_id": "9419515"}, {"ref": "nailsonboaz/titanic-logistic-reg", "kernel_id": "9876736"}, {"ref": "westen30/titanic-data-v2", "kernel_id": "9172976"}, {"ref": "harupy/use-inputs", "kernel_id": "9288093"}, {"ref": "sam1ceagain/titatic-problem-solving", "kernel_id": "9691624"}, {"ref": "ravve7/a-guide-to-handling-missing-values-in-python", "kernel_id": "9848787"}, {"ref": "biman02/kernel8f9f4243fc", "kernel_id": "9039837"}, {"ref": "eddybjj/titanic-analysis-and-prediction-my-1st-ml-notebook", "kernel_id": "9530749"}, {"ref": "vibivij/titanic-dataset-using-knn", "kernel_id": "9463571"}, {"ref": "bouba2017/tackle-the-titanic-dataset", "kernel_id": "9714451"}, {"ref": "emoticn/titanic-0601-hyperparameter-refining", "kernel_id": "9293621"}, {"ref": "alexismayer/titanic-top-9-boruta-glm-nn-and-lightgbm", "kernel_id": "9764963"}, {"ref": "samansiadati/titanic-machine-learning-from-disaster", "kernel_id": "9543128"}, {"ref": "oceancode/titanic-survival-analysis-how-to-do-it-in-r", "kernel_id": "9691164"}, {"ref": "kennethrithvik/plotting-with-python-learn-80-plots-step-by-step", "kernel_id": "9296438"}, {"ref": "pavansanagapati/14-simple-tips-to-save-ram-memory-for-1-gb-dataset", "kernel_id": "9240304"}, {"ref": "akarsh1/top-5-titanic-prediction-with-score-0-80143", "kernel_id": "9655905"}, {"ref": "kollidatta/titanic-data-analysis-and-predictions-top-7", "kernel_id": "9918480"}, {"ref": "mikailbaran/mbaran-titanic-eda", "kernel_id": "9271616"}, {"ref": "hasnain2808/day-1", "kernel_id": "9562577"}, {"ref": "hasnain2808/cleaning", "kernel_id": "9529470"}, {"ref": "sishihara/logisticregression-max-iter-tuning", "kernel_id": "9262465"}, {"ref": "rajagopalang/titanic-ds", "kernel_id": "9285303"}, {"ref": "rishabhgarg1023/titanic-basic-model", "kernel_id": "9305251"}, {"ref": "denizerden/titanic", "kernel_id": "9626178"}, {"ref": "rj81309050/titanic-survival-prediction", "kernel_id": "9287383"}, {"ref": "kuldeepdhadhwal/complete-titanic-survival-analysis-79-9-accuracy", "kernel_id": "9106511"}, {"ref": "ekikagg/simple-titanic-supervised-learning", "kernel_id": "9840289"}, {"ref": "raymond2umd/kernelbe557be6ad", "kernel_id": "9156577"}, {"ref": "ravels1991/introdu-o-pycaret-pt-br", "kernel_id": "9782314"}, {"ref": "yamazyra/lightgbm-testing", "kernel_id": "9843938"}, {"ref": "qq1048539046/datavisualization-randomforestclassifier-0-82", "kernel_id": "9202440"}, {"ref": "wyx19990513/titanic-zxr-wyx-yjw", "kernel_id": "9203735"}, {"ref": "caproner/titaniclearning", "kernel_id": "9509242"}, {"ref": "hkapoor/introduction-to-scikit-learn-pipelines", "kernel_id": "9539348"}, {"ref": "emildenberger/titanic-survivors", "kernel_id": "9168012"}, {"ref": "magdylaban/titanic-in-python", "kernel_id": "9661165"}, {"ref": "pm0112/feature-engineering-randomforest", "kernel_id": "9517429"}, {"ref": "aadarsh168/titanic-model", "kernel_id": "9305058"}, {"ref": "sanupandey/1st-kaggle-project-titanic", "kernel_id": "9548910"}, {"ref": "cthomasbrittain/titantic-nn-hello-world", "kernel_id": "9322586"}, {"ref": "jayanthm/kernel77564df111", "kernel_id": "9238599"}, {"ref": "motohiro/kernel726d228659", "kernel_id": "9967004"}, {"ref": "blazejohk/randomtreeforest", "kernel_id": "9177912"}, {"ref": "joelsonsartori/titanic-randomforest-grid", "kernel_id": "9950713"}, {"ref": "pankaj98/kernel3e0d4be32e", "kernel_id": "9162356"}, {"ref": "jsultanah/titanic-submission", "kernel_id": "9436789"}, {"ref": "adrielfrederick7/titanic-data-missing-value-analysis-1st-submission", "kernel_id": "9212442"}, {"ref": "servietsky/easy-way-titanic-pycaret", "kernel_id": "9549288"}, {"ref": "yoshi679/practice-titanic", "kernel_id": "9124934"}, {"ref": "hikoboshi/takashiba-first-kernel", "kernel_id": "9447115"}, {"ref": "kajsjo/titanic-eda", "kernel_id": "9171952"}, {"ref": "kajsjo/titanic-model", "kernel_id": "9299800"}, {"ref": "nikhilgulwade/getting-started-with-titanic", "kernel_id": "9554407"}, {"ref": "milan400/titanic-survival", "kernel_id": "9054318"}, {"ref": "osspringfall/titanic-in-r-ndhu", "kernel_id": "9238606"}, {"ref": "mandras86/titanic-survival-prediction-with-sklearn-beginner", "kernel_id": "9013544"}, {"ref": "ihrishimane26/titanic-with-neural-networks", "kernel_id": "9593128"}, {"ref": "parichita/getting-started-with-the-titanic-1", "kernel_id": "9859587"}, {"ref": "saintyemix1/titanic-basic-modelling", "kernel_id": "9131747"}, {"ref": "sanchitabhattacharya/first-machine-learning-model-with-77-score", "kernel_id": "9457405"}, {"ref": "databeginner/simple-matplotlib-visualization-tips", "kernel_id": "9363855"}, {"ref": "vipina/titanic-eda-prediction", "kernel_id": "9039048"}, {"ref": "jeffymerin/titanic-predictions", "kernel_id": "9479891"}, {"ref": "vithal2311/titanic-notebook-for-beginners", "kernel_id": "9488995"}, {"ref": "rahulgarg28/kernel155c2083ca", "kernel_id": "9486420"}, {"ref": "rahulgarg28/kernel65e61ee474", "kernel_id": "9207376"}, {"ref": "harshitawasthi/exploratory-data-analysis-titanic-dataset", "kernel_id": "9089014"}, {"ref": "jeckyoh/get-start-with-titanic", "kernel_id": "9479015"}, {"ref": "wentzforte/titanic-automl-0-76555", "kernel_id": "9421679"}, {"ref": "wentzforte/titanic-linearregression-0-77033", "kernel_id": "9536215"}, {"ref": "wentzforte/titanic-automl-preprocessing-0-78468", "kernel_id": "9560519"}, {"ref": "wentzforte/titanic-linearregression-preprocessing-0-78947", "kernel_id": "9559963"}, {"ref": "franciscogc/titanic-notebook-tensorflow", "kernel_id": "9390605"}, {"ref": "krishnavamshi24/titanic-sol", "kernel_id": "9856383"}, {"ref": "karenkang/titanic-tutorial-pytorch", "kernel_id": "9713844"}, {"ref": "sanjayar/titanic-20-algo-comparison-and-ensemble", "kernel_id": "9805610"}, {"ref": "saife245/r-challenge-of-100-visualization-in-r", "kernel_id": "9430022"}, {"ref": "kabhinay/titanic-v1", "kernel_id": "9387725"}, {"ref": "medyasun/titanic-dataset-the-shortest-but-effective-top-6", "kernel_id": "9596264"}, {"ref": "naman99/logistic-titanic-kernel", "kernel_id": "9346072"}, {"ref": "virajjoshi/titanic-survival-rate", "kernel_id": "9465285"}, {"ref": "mahirahmzh/getting-started-with-titanic", "kernel_id": "9293880"}, {"ref": "satyampd/titanic-eda-and-ml", "kernel_id": "9325587"}, {"ref": "aashishpotnuru/titanic-dataset", "kernel_id": "9315751"}, {"ref": "seif2018/titanic-survivors-predictor", "kernel_id": "9024238"}, {"ref": "murat2538/titanic-survival-prediction", "kernel_id": "9453042"}, {"ref": "medmaatar/titanic-simple-ml-dl-with-sklearn-and-pytorch", "kernel_id": "9033381"}, {"ref": "allaboutdatascience/run-10-models-select-top5-hypertune-ensemble", "kernel_id": "9076147"}, {"ref": "melissamnt10/titanic-first-try", "kernel_id": "9918856"}, {"ref": "ami4501/kernel594442d832", "kernel_id": "9743777"}, {"ref": "ami4501/kernel3009d2546f", "kernel_id": "9744154"}, {"ref": "sohnryang/titanic", "kernel_id": "9678363"}, {"ref": "dmytrol/impact-of-decision-tree-depth-on-the-accuracy", "kernel_id": "9972385"}, {"ref": "benedictusalvian/titanic-linear-regression", "kernel_id": "9064636"}, {"ref": "benedictusalvian/getting-started-with-titanic", "kernel_id": "9063883"}, {"ref": "mbmlearner/titanic-dataset", "kernel_id": "9620005"}, {"ref": "frtgnn/predictive-power-score-vs-correlation", "kernel_id": "9083875"}, {"ref": "leizhiyu/titanic-prediction", "kernel_id": "9595733"}, {"ref": "extraordinarymind/titanic-survival", "kernel_id": "9822051"}, {"ref": "chakkmorris/titanic", "kernel_id": "9566582"}, {"ref": "vcode11/titanic-notebook", "kernel_id": "9786090"}, {"ref": "arnaudjuin/usa-shark-attacks-101", "kernel_id": "9117513"}, {"ref": "abhishek1998/titanic", "kernel_id": "9159891"}, {"ref": "sreesankaran/titanic-dataset", "kernel_id": "9244360"}, {"ref": "tariquepce/titanic-survival-prediction", "kernel_id": "9242482"}, {"ref": "abhisheksv/titanic-disaster-modelling", "kernel_id": "9073296"}, {"ref": "agirlcoding/tiatanic-first-ml-competition-ever", "kernel_id": "9810035"}, {"ref": "tralala23/titanic-notebook", "kernel_id": "9752847"}, {"ref": "vishaldawar/titanic-ml-model", "kernel_id": "9187708"}, {"ref": "abhijithchandradas/titanic-eda-and-feature-engg-wip", "kernel_id": "9177721"}, {"ref": "rspctd/s-ayd-titanic-eda", "kernel_id": "9068026"}, {"ref": "sulesolmaz14/titanic-explatory-data-analysis-eda", "kernel_id": "9211211"}, {"ref": "serhaan/seroo-titanic", "kernel_id": "9049971"}, {"ref": "micky26/titanic-competition", "kernel_id": "9894779"}, {"ref": "sahuankit/titanic-basic-solution-with-logistic-regression", "kernel_id": "9162783"}, {"ref": "tanveeralam/logistic-regression-titanic-data-low-accuracy", "kernel_id": "9078895"}, {"ref": "sontiravi/titanic-ml", "kernel_id": "9305473"}, {"ref": "pierrepeigne/workshop-42-ai-classification", "kernel_id": "9552183"}, {"ref": "nparekh127/titanic-disaster-survival-classification", "kernel_id": "9967623"}, {"ref": "miorgash/first-submission-ms", "kernel_id": "9920470"}, {"ref": "delao2314/titanic-trees", "kernel_id": "9567667"}, {"ref": "lkatran/facebookprophet", "kernel_id": "9164962"}, {"ref": "lkatran/facebook-prophet", "kernel_id": "9166360"}, {"ref": "lkatran/timeseriesbase", "kernel_id": "9040487"}, {"ref": "tareksherif/titanic-v1-mlpclassifier", "kernel_id": "9357931"}, {"ref": "sukeshtech17/titanic-survival-demystified", "kernel_id": "9648634"}, {"ref": "emreoztan/emre-ztan-titanik-eda", "kernel_id": "9234601"}, {"ref": "hpant438/titanic-kernel-first", "kernel_id": "9681013"}, {"ref": "herambrai/kernel-hr-titanic", "kernel_id": "9167986"}, {"ref": "chrisl6uie/bsds100-titanic-logisitic-regression-fun", "kernel_id": "9103894"}, {"ref": "geekycreek/titanic-eda-using-pca-algo-and-voting-classifier", "kernel_id": "9383289"}, {"ref": "godzill22/my-first-project-titanic", "kernel_id": "9888298"}, {"ref": "chernenkoruslan/titanic-ml-model", "kernel_id": "9230711"}, {"ref": "shaonakundu/titanic-survival", "kernel_id": "9591187"}, {"ref": "medhekarabhinav5/titanic-survival-predictions", "kernel_id": "9201590"}, {"ref": "krsna540/a-complete-machine-learning-practise", "kernel_id": "9641213"}, {"ref": "ercoargante/mytitanic", "kernel_id": "9999000"}, {"ref": "fcnrklt/titanic-eda", "kernel_id": "9537456"}, {"ref": "fernandojunior2106/titanic-ml-project", "kernel_id": "9518014"}, {"ref": "nusretgencal/titanik-data", "kernel_id": "9196350"}, {"ref": "alicebianconcini/getting-started-with-titanic", "kernel_id": "9584604"}, {"ref": "nawajshaikh/45-lines-of-codes", "kernel_id": "9868006"}, {"ref": "vigneshprakash/titanic-data-eda", "kernel_id": "9614214"}, {"ref": "carol1992marques/titanic-incomplete", "kernel_id": "9012033"}, {"ref": "esswidi125/titanic-training", "kernel_id": "9688471"}, {"ref": "amithasanshuvo/titanic-ml-from-disaster-solution", "kernel_id": "9396065"}, {"ref": "countingpigeons/titanic-survival-cross-validated-voting-ensembles", "kernel_id": "9034271"}, {"ref": "serdargoler/getting-started-with-titanic-python", "kernel_id": "9061201"}, {"ref": "yawaddison/titanicprediction", "kernel_id": "9268702"}, {"ref": "balogi85/titanic-predict", "kernel_id": "9364596"}, {"ref": "davidkt2/titanic-analysis-with-caret", "kernel_id": "9714543"}, {"ref": "kappilan/titanic-machine-learning-from-disaster", "kernel_id": "9616346"}, {"ref": "batibayburak/data-analysis-visualizations-and-classifiermodels", "kernel_id": "9130014"}, {"ref": "ecemboluk/survived-predict-with-artifical-neural-networks", "kernel_id": "9670189"}, {"ref": "soham1024/introduction-2d-3d-data-visualization", "kernel_id": "9105665"}, {"ref": "soham1024/all-avaialable-visualizations", "kernel_id": "9351975"}, {"ref": "soham1024/titanic-data-science-eda-with-meme-solution", "kernel_id": "9725565"}, {"ref": "vrushalibhokare/titanic-notebook", "kernel_id": "9530848"}, {"ref": "roottrx/titanic", "kernel_id": "9661896"}, {"ref": "johnade91/kernelf06fb63130", "kernel_id": "9905478"}, {"ref": "taimurzahid/titanic-complete-competition-pipeline", "kernel_id": "9892026"}, {"ref": "dazzpool/first-prediction-notebook", "kernel_id": "9692980"}, {"ref": "anyatrivedi/titanic-ml-modelling", "kernel_id": "9166471"}, {"ref": "aashkatrivedi/titanic-dataset-ml-modelling", "kernel_id": "9166448"}, {"ref": "kumareshbabuns/titanic-for-beginners", "kernel_id": "9400886"}, {"ref": "valik17666/three-lines-of-code-for-titanic-top-20", "kernel_id": "9491053"}, {"ref": "kazuhito00/pycaret-binary-classification-titanic-sample", "kernel_id": "9100324"}, {"ref": "kazuhito00/pycaret1-0-blend-models-fold-n-titanic-sample", "kernel_id": "9121810"}, {"ref": "smritisingh1997/titanic-data-analysis", "kernel_id": "9005093"}, {"ref": "yukihashimoto/kernel31baa2fb6c", "kernel_id": "9797204"}, {"ref": "dhruvagg/titanic-random-forest", "kernel_id": "9514059"}, {"ref": "efradgamer/tuning-missing-values-to-get-better-prediction", "kernel_id": "9706507"}, {"ref": "efradgamer/target-encoding-snippet-code", "kernel_id": "9709443"}, {"ref": "efradgamer/scattered-boxplots-visualization", "kernel_id": "9858069"}, {"ref": "dmitrykilievych/three-lines-of-code-for-titanic-top-15", "kernel_id": "9471656"}, {"ref": "rafaelb1/reg-logistica-otimizado", "kernel_id": "9455074"}, {"ref": "rafaelb1/reg-logistica-baseline", "kernel_id": "9454865"}, {"ref": "sagarkolte/titanicproject-ronniesagar", "kernel_id": "9527009"}, {"ref": "mydatascience2019/titanic-machine-learning-model", "kernel_id": "9215568"}, {"ref": "yushg123/using-automl-h2o-tpot", "kernel_id": "9732975"}, {"ref": "yushg123/interactive-eda-dashboard", "kernel_id": "9882858"}, {"ref": "richachoudhary8096/titanic-survival", "kernel_id": "9012305"}, {"ref": "saadbaig200/titanic-data", "kernel_id": "9808552"}, {"ref": "chiragns/titanic-1-1", "kernel_id": "9432112"}, {"ref": "maxencelemercier/titanic-feature-engineering-ffn-202006", "kernel_id": "9837073"}, {"ref": "sumedhjsh/titanic", "kernel_id": "9009040"}, {"ref": "cthierfelder/titanicestimator", "kernel_id": "9306816"}, {"ref": "dbardhan/easy-to-understand-beginners", "kernel_id": "9480256"}, {"ref": "lopukhov/titanic-with-3-models", "kernel_id": "9477923"}, {"ref": "sainathkrothapalli/pandas-profiling-tutorial-on-titanic-dataset", "kernel_id": "9912457"}, {"ref": "dennisbakhuis/titanic-competition-exploratory-data-analysis", "kernel_id": "9988784"}, {"ref": "shubham1696/titanic-solution", "kernel_id": "9437010"}, {"ref": "davidraxen/titanic-2-this-time-it-s-r", "kernel_id": "9327409"}, {"ref": "umangsharma9533/titanic-machine-learning-from-disaster", "kernel_id": "9066202"}, {"ref": "stevenz20/template-for-predictive-modeling", "kernel_id": "9744611"}, {"ref": "pksx01/titanic-survival-prediction-using-xgboost", "kernel_id": "9378255"}, {"ref": "alexber/simple-ml-project-on-the-titanic-dataset", "kernel_id": "9045393"}, {"ref": "muneebahmad174/titanic-logistic-regression-ml-project", "kernel_id": "9362977"}, {"ref": "ameyvadnere/titanic-classification-using-neural-network", "kernel_id": "9852204"}, {"ref": "stevenscwu/new-to-titanic", "kernel_id": "9982885"}, {"ref": "ammarkaizer/kernel73aab93e54", "kernel_id": "9532665"}, {"ref": "pandeyshivansh/titanic-survival", "kernel_id": "9357280"}, {"ref": "kudoszhang/get-started-with-titanic", "kernel_id": "9007067"}, {"ref": "at081028/titanic-predict-for-aiaa", "kernel_id": "9021149"}, {"ref": "danielalexander17/titanic-solution-for-beginner", "kernel_id": "9065353"}, {"ref": "akshaygopal/titanic", "kernel_id": "9567990"}, {"ref": "jagadeesh23/titanic", "kernel_id": "9624361"}, {"ref": "htamkiya24/titanic-using-pycaret-sword-of-auto-ml", "kernel_id": "9850923"}, {"ref": "talohrel/kutaydal-titanic-with-interactive-widgets", "kernel_id": "9392068"}, {"ref": "shajin/getting-started-with-titanic-2", "kernel_id": "9051478"}, {"ref": "samiranbera/ml-modeling-in-one-hour-using-pycaret", "kernel_id": "9050248"}, {"ref": "nitbrok/titanic-super-ship", "kernel_id": "9163665"}, {"ref": "benthecoder/getting-started-with-titanic", "kernel_id": "9142571"}, {"ref": "rbud613/taitanic-eda", "kernel_id": "9179518"}, {"ref": "rbud613/taitanic-predictor-using-pipeline-processing", "kernel_id": "9456372"}, {"ref": "mujinkeikakupro/kernel-titanic", "kernel_id": "9038583"}, {"ref": "mujinkeikakupro/kernel-newstart", "kernel_id": "9059975"}, {"ref": "prasun007/titanic-survivor-prediction", "kernel_id": "9225629"}, {"ref": "cmds2k/titanic-svc-logisticregression-randomforest", "kernel_id": "9472532"}, {"ref": "albatros1602/albatros-titanic-eda", "kernel_id": "9032343"}, {"ref": "syoheihoh/python-kaggle-start-book-ch02-01", "kernel_id": "9281998"}, {"ref": "anmspro/beyond-hello-world-dnn-fashion-mnist", "kernel_id": "9619842"}, {"ref": "anmspro/hello-world-of-deep-learning-with-neural-networks", "kernel_id": "9618836"}, {"ref": "khairmuhammad/getting-started-with-titanic", "kernel_id": "9568834"}, {"ref": "dejunhuang/getting-started-with-titanic", "kernel_id": "9505001"}, {"ref": "priyadarsi/titanic-priyadarsi", "kernel_id": "9082039"}, {"ref": "pradyut23/titanic-survivors", "kernel_id": "9494798"}, {"ref": "iphyjon/a-study-for-survival-titanic", "kernel_id": "9154137"}, {"ref": "moneyshot495/ml-experience", "kernel_id": "9272222"}, {"ref": "supratimsur/titanic-suvived", "kernel_id": "9364926"}, {"ref": "satinders10/titanic", "kernel_id": "9963020"}, {"ref": "randhirjaiswal/titanic-challenge", "kernel_id": "9692056"}, {"ref": "mohamed501258/titanic-survival-with-keras", "kernel_id": "9651661"}, {"ref": "hankarmostafa/predicting-titanic-survivors", "kernel_id": "9311971"}, {"ref": "gb00000/titanic-median-age-from-title", "kernel_id": "9235765"}, {"ref": "valadares/prever-sobreviventes", "kernel_id": "9198569"}, {"ref": "vipuljain17/stackingvsblendingmodels", "kernel_id": "9895226"}, {"ref": "emnasc/titanic-sklearn-logistic-regression", "kernel_id": "9137878"}, {"ref": "priyajais/titanic-solution-with-xgboost", "kernel_id": "9096759"}, {"ref": "aaroha33/learn-machine-learning-in-10-minuites", "kernel_id": "9209434"}, {"ref": "nishsup/fork-of-trial-1", "kernel_id": "9143685"}, {"ref": "hec033/scrubbing-complete", "kernel_id": "9601102"}, {"ref": "hec033/scrubbing", "kernel_id": "9578094"}, {"ref": "pritamu/titanic-doa", "kernel_id": "9491143"}, {"ref": "coseck/titanic-logisticregression-xgboost-randomforest", "kernel_id": "9983889"}, {"ref": "sureshmecad/titanic-predict-survival", "kernel_id": "9881190"}, {"ref": "fabio11c/logistic-regression-and-neural-networks", "kernel_id": "9721320"}, {"ref": "neelaadityakumar/titanic-survival", "kernel_id": "9992600"}, {"ref": "sagarbarvadia/titanic-data-science-solutions", "kernel_id": "9072398"}, {"ref": "ahmadramadhan/titanic-classification-with-random-forest", "kernel_id": "9182350"}, {"ref": "srhtcmc/titanic-eda", "kernel_id": "9614216"}, {"ref": "manan12/titanic-dataset-visualization-and-analysis", "kernel_id": "9096121"}, {"ref": "sanjeevtgeorge/titanic-simple-and-ml-eda", "kernel_id": "9011031"}, {"ref": "muhammadayman/titanic-understanding-predicting", "kernel_id": "9093425"}, {"ref": "anand8krishna/titanic-final-version", "kernel_id": "9905808"}, {"ref": "chetan30/titanic-prediction", "kernel_id": "9755672"}, {"ref": "jcl1992/fork-of-getting-started-with-titanic-jcl", "kernel_id": "9545625"}, {"ref": "jcl1992/getting-started-with-titanic-jcl", "kernel_id": "9452636"}, {"ref": "berkeyilmaz/titanic-eda", "kernel_id": "9023869"}, {"ref": "matthewmillar/pps-vs-corr", "kernel_id": "9221775"}, {"ref": "an0utlier/machine-learning-for-beginners-titanic-sink", "kernel_id": "9644084"}, {"ref": "zerahitay/kernel59066a8e28", "kernel_id": "9475139"}, {"ref": "halsmit/qiita-ss5", "kernel_id": "9729713"}, {"ref": "halsmit/qiita06-forme", "kernel_id": "9540393"}, {"ref": "halsmit/kagglewintext-ch01", "kernel_id": "9387125"}, {"ref": "rishabhx3/titanic-data-analysis", "kernel_id": "9506913"}, {"ref": "amanrawat1298/titanic-survival-prediction", "kernel_id": "9461308"}, {"ref": "hritik7080/titanic-disaster-eda-to-prediction-accu-84", "kernel_id": "9283987"}, {"ref": "shivachandra/titanic", "kernel_id": "9612896"}, {"ref": "gabrielcabezas/analysis-on-the-titanic-dataset", "kernel_id": "9068629"}, {"ref": "sdhudan/titanic-3models-lr-rf-xgboost-initialsetting", "kernel_id": "9976668"}, {"ref": "barindersingh/titanic-survival-using-ml-algos", "kernel_id": "9163964"}, {"ref": "therob94/kernel2f1fed556c", "kernel_id": "9043378"}, {"ref": "raphealjones/titanic-survivals", "kernel_id": "9747554"}, {"ref": "eth212/kernel1f316e3f1a", "kernel_id": "9267058"}, {"ref": "deviantpadam/titanic-model", "kernel_id": "9280978"}, {"ref": "kentaro7/titanic-beginer", "kernel_id": "9180973"}, {"ref": "kaverikr/titanic-survivours", "kernel_id": "9925504"}, {"ref": "ishannfs/getting-started-with-titanic", "kernel_id": "9239095"}, {"ref": "laleeth/titanic-dataset", "kernel_id": "9263047"}, {"ref": "mittalh/titanic-disaster-problem", "kernel_id": "9949219"}, {"ref": "laplace8/ml-1-titanic-tutorial-for-study-210323", "kernel_id": "9621444"}, {"ref": "aroradivyansh/applying-basic-ml-models-along-with-data-analysis", "kernel_id": "9485796"}, {"ref": "brgustavol/titanic-machine-learning-from-disaster-gustavo", "kernel_id": "9515499"}, {"ref": "kamleshsolanki/titanic-machine-learning", "kernel_id": "9401023"}, {"ref": "souravkp14/titanic-pycaret", "kernel_id": "9694951"}, {"ref": "andremanente/titanic", "kernel_id": "9015997"}, {"ref": "thecansin/dataiteam-titanic", "kernel_id": "9067680"}, {"ref": "suhedacilek/titanic-machine-learning-from-disaster", "kernel_id": "9327700"}, {"ref": "karenveigas29/titanic-first-note", "kernel_id": "9315993"}, {"ref": "ramkumar1977/titanic-eda-decision-trees", "kernel_id": "9508593"}, {"ref": "ramkumar1977/logistic-regression-on-titanic-data", "kernel_id": "9227063"}, {"ref": "moonjong/titanic-prediction-as-a-beginner", "kernel_id": "9565356"}, {"ref": "minupark/titanic-evolution", "kernel_id": "9036594"}, {"ref": "jafarib/titanic-competition-how-to-get-top-score-100", "kernel_id": "9125986"}, {"ref": "ankitbansal2101/titanic-disaster", "kernel_id": "9850216"}, {"ref": "walras/plotly", "kernel_id": "9670021"}, {"ref": "oknedis/titanic", "kernel_id": "9584231"}, {"ref": "emilyohq/titanic-machine-learning-from-disaster", "kernel_id": "9278970"}, {"ref": "sreenivas7/titanic", "kernel_id": "9372278"}, {"ref": "kbiwott/titanic-ml", "kernel_id": "9427692"}, {"ref": "jiyanaytek/visualization-of-titanic-dataset", "kernel_id": "9155824"}, {"ref": "jschoeck/titanic-rfc", "kernel_id": "9175209"}, {"ref": "itsmeprasanna/titanic-survival-prediction", "kernel_id": "9931863"}, {"ref": "vyassuyog/titanicclassification-using-logisticregression", "kernel_id": "9429177"}, {"ref": "wuhao1996/titanic", "kernel_id": "9465380"}, {"ref": "ieching22/titanic-classification", "kernel_id": "9696328"}, {"ref": "thelonecoder/titanic-logistic-regression", "kernel_id": "9168745"}, {"ref": "kerem777/kozcelik-titanik", "kernel_id": "9421876"}, {"ref": "yeonjeongss/kernel6ad5a0f7a2", "kernel_id": "9101542"}, {"ref": "ankykaushik/titanic-survival-predictions-with-ann", "kernel_id": "9478336"}, {"ref": "ankykaushik/titanic-survival-predictions", "kernel_id": "9460050"}, {"ref": "aryanmishra2310/machine-learning", "kernel_id": "9055282"}, {"ref": "rraghav5600/titanic-fresh", "kernel_id": "9998423"}, {"ref": "pradheeprio/my-titanic-survival-prediction-acc-80", "kernel_id": "9986076"}, {"ref": "kaushil268/titanic-machine-learning-from-disaster", "kernel_id": "9470014"}, {"ref": "anirudhachal/titanic-disaster", "kernel_id": "9553147"}, {"ref": "balaka18/titanic-challenge", "kernel_id": "9051024"}, {"ref": "umutkeltek/titanic-problem-teach-to-learn", "kernel_id": "9721548"}, {"ref": "adityakaranth/predicting-survivors-with-regression-models", "kernel_id": "9378749"}, {"ref": "adityakaranth/predicting-survivors-using-logistic-regression", "kernel_id": "9391427"}, {"ref": "ksaxena10/eda-and-prediction-with-ensemble-techniques", "kernel_id": "9958123"}, {"ref": "tsujita1031/please-help-me-public-results-are-much-lower-than", "kernel_id": "9691919"}, {"ref": "harshmangal11/titanic-myfirst1", "kernel_id": "9614995"}, {"ref": "erpmrp/ml22-titanic-project-eda", "kernel_id": "9184722"}, {"ref": "pratikchoudhari/top-6-titanic-classification-rf-nn", "kernel_id": "9475581"}, {"ref": "rohithbollareddy/titanic-data-101", "kernel_id": "9661964"}, {"ref": "jigyashusuraj/top-5-titanic-machine-learning-from-disaster", "kernel_id": "9029917"}, {"ref": "osmansiddiquer/getting-started-with-titanic-competition", "kernel_id": "9614008"}, {"ref": "ayushsood65/titanic", "kernel_id": "9937732"}, {"ref": "ayushsood65/titanic-datasolution", "kernel_id": "9890562"}, {"ref": "taruntiwarihp/titanic-dataset", "kernel_id": "9646479"}, {"ref": "oretan40/oretan-titanic", "kernel_id": "9444468"}, {"ref": "underkongkong/kernel201a98ab69", "kernel_id": "9186472"}, {"ref": "jastorj/titanic-machine-learning-quick-tutorial", "kernel_id": "9303240"}, {"ref": "kwnjh3424/eda-to-prediction-dietanic", "kernel_id": "9205857"}, {"ref": "mathchi/titanic-machine-learning-from-disaster-3-models", "kernel_id": "9166983"}, {"ref": "zinebchahed/kernel566fcb4b59", "kernel_id": "9101298"}, {"ref": "maerajahmed/decisiontree", "kernel_id": "9827437"}, {"ref": "edelsteine/getting-started-with-titanic", "kernel_id": "9237677"}, {"ref": "raghuster/a-beginner-s-guide-to-the-titanic-competition", "kernel_id": "9235139"}, {"ref": "mfalfafa/titanic-survival-analysis-and-prediction-v1-0", "kernel_id": "9942349"}, {"ref": "wrestlingsurfer/titanic-challenge-straightforward-approach", "kernel_id": "9261857"}, {"ref": "aytacino/aytac-titanic", "kernel_id": "9686740"}, {"ref": "sandeepanmahapatra/titanic-dataset-my-first-kaggle-dataset", "kernel_id": "9073348"}, {"ref": "klakho/titanic-survival-analysis", "kernel_id": "9111241"}, {"ref": "ugurlumucahit/titanic-part1", "kernel_id": "9799733"}, {"ref": "pandaalbert/titanic-notebook", "kernel_id": "9511174"}, {"ref": "soumya9977/learn-stacking-for-classification", "kernel_id": "9391505"}, {"ref": "rahesh95/titanic-first", "kernel_id": "9257762"}, {"ref": "sanyam83/titanic-ml-problem-notebook", "kernel_id": "9062664"}, {"ref": "ujhoang16/titanic-analysis", "kernel_id": "9729922"}, {"ref": "onlypubguser/data-analysis-on-the-titanic-dataset-for-survival", "kernel_id": "9637762"}, {"ref": "rishabhdhyani4/titanic-tutorial", "kernel_id": "9122909"}, {"ref": "prayassinghchauhan/titanic-a-beginner-s-step-by-step-guide", "kernel_id": "9480770"}, {"ref": "necipy/1-titanic", "kernel_id": "9105402"}, {"ref": "bkonovalov/titanic-bkonovalov-submit", "kernel_id": "9165347"}, {"ref": "kashishlohiya5/titanic-submission", "kernel_id": "9491971"}, {"ref": "kashishlohiya5/eda-and-ml-for-beginners-titanic", "kernel_id": "9418315"}, {"ref": "prashdash112/titanic-dataset-predictions", "kernel_id": "9929993"}, {"ref": "prashdash112/titanic-dataset-analysis", "kernel_id": "9885308"}, {"ref": "ashkhagan/exploring-titanic-tragedy-eda-submission", "kernel_id": "9501907"}, {"ref": "ashkhagan/day-1-10-plots", "kernel_id": "9473747"}, {"ref": "ashkhagan/simple-tutorial-to-data-visulaization-bokehmodex", "kernel_id": "9426243"}, {"ref": "ashkhagan/bokehx-part-3", "kernel_id": "9425632"}, {"ref": "ashkhagan/bokehx-part-2", "kernel_id": "9420597"}, {"ref": "ayushikaushik/eda-feature-engineering-classification-models", "kernel_id": "9567814"}, {"ref": "tanishghosh/titanic-dataset-prediction-with-tree-based-models", "kernel_id": "9963834"}, {"ref": "marmarnus/getting-started-with-titanic-and-pycaret", "kernel_id": "9366611"}, {"ref": "hq1314/titanic-with-random-forest", "kernel_id": "9770354"}, {"ref": "joshuajhchoi/titanic-tutorial-how-to-be-in-top3", "kernel_id": "9090542"}, {"ref": "thomasroskewich/titanicprediction", "kernel_id": "9161546"}, {"ref": "codeer/titanic-prediction", "kernel_id": "9401087"}, {"ref": "ray7yu/titanic-ryu", "kernel_id": "9482608"}, {"ref": "azzounitarek/covid19-algerian-study", "kernel_id": "9339977"}, {"ref": "nmshafie/my-first-project-titanic", "kernel_id": "9766602"}, {"ref": "urock2000/titanic-survival-prediction-model", "kernel_id": "9478710"}, {"ref": "mishki/thorough-data-wrangling-pandas-numpy-seaborn", "kernel_id": "9015040"}, {"ref": "aryanrastogi7767/titanic-eda-feature-engg-modelling", "kernel_id": "9713179"}, {"ref": "msacksick/kernel36e05af054", "kernel_id": "9267964"}, {"ref": "jwl008/titanic", "kernel_id": "9555625"}, {"ref": "syedsaifalialvi/titanic-data", "kernel_id": "9337826"}, {"ref": "adi28online/titanic-survival-prediction-using-different-models", "kernel_id": "9551186"}, {"ref": "preejababu/titanic-data-science-solutions", "kernel_id": "9502348"}, {"ref": "marinovik/yet-another-titanic-notebook", "kernel_id": "9849365"}, {"ref": "bestcnx/get-start-kaggle-project-with-titanic-competition", "kernel_id": "9990464"}, {"ref": "sumitwizarddas/titanic-competition", "kernel_id": "9843106"}, {"ref": "ramarb/titanic-model-with-evaluation", "kernel_id": "9583940"}, {"ref": "nicklamiller/titanic", "kernel_id": "9251713"}, {"ref": "yukini/practice", "kernel_id": "9073831"}, {"ref": "egorchernov/randomforestclassifier", "kernel_id": "9074751"}, {"ref": "egorchernov/gradientboostingclassifier", "kernel_id": "9075252"}, {"ref": "egorchernov/logisticregression", "kernel_id": "9075094"}, {"ref": "egorchernov/decisiontreeclassifier", "kernel_id": "9074840"}, {"ref": "kenkanayama/titanic-training-to-me", "kernel_id": "9708566"}, {"ref": "kenkanayama/titanic-training-2", "kernel_id": "9323941"}, {"ref": "elenaliang/titanic", "kernel_id": "9734873"}, {"ref": "shirowanisan/titanic-classification-using-random-forest-model", "kernel_id": "9963645"}, {"ref": "denyskaliuzhnyi/titanic-survival-prediction", "kernel_id": "9129334"}, {"ref": "palakpatwa/titanic-disaster-logistic-regression", "kernel_id": "9735451"}, {"ref": "prateek16apr/xgboost-hyperparamter-tuning", "kernel_id": "9134435"}, {"ref": "alperenyuksel/titanic-eda-project", "kernel_id": "9095246"}, {"ref": "sanskrutipanda/titanic-machine-learning-from-disaster", "kernel_id": "9023746"}, {"ref": "emrekuru/titanic-homework", "kernel_id": "9396976"}, {"ref": "prejithp/titanic-a-journey-through-imperfections", "kernel_id": "9987454"}, {"ref": "dilawarmahmood/titanic", "kernel_id": "9456170"}, {"ref": "shyam21/getting-started-with-titanic-datasets", "kernel_id": "9408731"}, {"ref": "shyam21/titanic-dataset", "kernel_id": "9428263"}, {"ref": "adarshsng/titanic-lending-club-handling-missing-data", "kernel_id": "9438861"}, {"ref": "adarshsng/extensive-advance-feature-engineering-tutorial", "kernel_id": "9426613"}, {"ref": "sumeyyealpay/titanic-eda", "kernel_id": "9463646"}, {"ref": "abhaydhiman/let-s-crack-the-titanic-s-problem", "kernel_id": "9162720"}, {"ref": "toruegawa/python-kaggle-start-book-ch02-01", "kernel_id": "9267629"}, {"ref": "adarshpathak/titanic-0-80382-score-top-8", "kernel_id": "9341426"}, {"ref": "aaaaaa321/titanic", "kernel_id": "9798487"}, {"ref": "dimimn/titanic1", "kernel_id": "9815949"}, {"ref": "saraswatitiwari/kernel67fd742acd", "kernel_id": "9956364"}, {"ref": "winnietan666/titanic-eda-visualization-ml", "kernel_id": "9636507"}, {"ref": "amoghwarkhandkar/titanic-learning", "kernel_id": "9415793"}, {"ref": "sukruaras/titanic-logistic-regression", "kernel_id": "9837515"}, {"ref": "sukruaras/titanic-sa03new", "kernel_id": "9747373"}, {"ref": "bcolban/colban-titanic-eda", "kernel_id": "9000313"}, {"ref": "urielmenalled/titanic-cforest-and-xgboost", "kernel_id": "9154605"}, {"ref": "carlmcbrideellis/titanic-in-all-the-confusion", "kernel_id": "9647676"}, {"ref": "carlmcbrideellis/titanic-leaderboard-a-score-0-8-is-great", "kernel_id": "9276641"}, {"ref": "carlmcbrideellis/hyperparameter-grid-search-sample-code", "kernel_id": "9221607"}, {"ref": "martinhaha/titanic", "kernel_id": "9590018"}, {"ref": "soonmoseong/titanic-data-science-solutions-in-korean", "kernel_id": "9939668"}, {"ref": "sagaekeiga/kernel312f25802b", "kernel_id": "9062660"}, {"ref": "deviaiml/titanic-survival-prediction", "kernel_id": "9827629"}, {"ref": "ankurkhanna0405/kernel7869ed8962", "kernel_id": "9249103"}, {"ref": "volodymyrholomb/titanic-imputing-and-classification-pipes", "kernel_id": "9824273"}, {"ref": "shingosakamoto/logistic-regression", "kernel_id": "9092432"}, {"ref": "gp2001/where-is-my-output-file", "kernel_id": "9373909"}, {"ref": "busedemir/titanic-machine-learning-from-disaster", "kernel_id": "9379730"}, {"ref": "mindparadox/getting-started-with-titanic", "kernel_id": "9614429"}, {"ref": "shigeoku/004-01-svm", "kernel_id": "9320586"}, {"ref": "shigeoku/004-02-svm", "kernel_id": "9320624"}, {"ref": "shigeoku/002-01-rf", "kernel_id": "9026703"}, {"ref": "shigeoku/002-02-rf", "kernel_id": "9026730"}, {"ref": "shigeoku/003-01-lr", "kernel_id": "9026747"}, {"ref": "shigeoku/003-02-lr", "kernel_id": "9026779"}, {"ref": "shigeoku/001-02-dt", "kernel_id": "9026315"}, {"ref": "shigeoku/clean-2", "kernel_id": "9025909"}, {"ref": "shigeoku/eda-1", "kernel_id": "9026121"}, {"ref": "shigeoku/check-miss-value", "kernel_id": "9026156"}, {"ref": "shigeoku/001-01-dt", "kernel_id": "9026225"}, {"ref": "halilzeybek/titanic-eda-ml", "kernel_id": "9626943"}, {"ref": "danoozy44/titanic-with-deep-learning-keras-for-beginners", "kernel_id": "9491080"}, {"ref": "danoozy44/titanic-10-fold-cv", "kernel_id": "9726384"}, {"ref": "danoozy44/titanic-lightgbm", "kernel_id": "9686466"}, {"ref": "danoozy44/titanic-hybrid-model-with-4-weak-learners", "kernel_id": "9690994"}, {"ref": "danoozy44/titanic-xgboost", "kernel_id": "9649480"}, {"ref": "danoozy44/titanic-random-forest", "kernel_id": "9594427"}, {"ref": "danoozy44/titanic-catboostclassifier", "kernel_id": "9597918"}, {"ref": "raulalvarezprieto/titanic-with-deep-neural-network", "kernel_id": "9956385"}, {"ref": "olafko/titanic-machine-learning-from-disaster-top8", "kernel_id": "9094928"}, {"ref": "ebinbaby/titanic-survival-prediction-learning-problem-2", "kernel_id": "9327150"}, {"ref": "aslsuluta/titanic-eda", "kernel_id": "9473179"}, {"ref": "tsuyoshikawamoto/upura-kaggle-tutorial-01-first-submission", "kernel_id": "9585722"}, {"ref": "mdshadabhussain/titanic-data-science-solutions", "kernel_id": "9753055"}, {"ref": "nesiherkut/survival-prediction", "kernel_id": "9310514"}, {"ref": "sashabadmaev/scipy-3-by-badmaev", "kernel_id": "9773311"}, {"ref": "aamirsaifi/titanic-solution-random-forest", "kernel_id": "9090572"}, {"ref": "eddiejn/titanic-my-first-submission", "kernel_id": "9730735"}, {"ref": "aman2000jaiswal/titanic-5-2-2020", "kernel_id": "9248720"}, {"ref": "muzammiliftikhar/my-version-of-titanic-ml", "kernel_id": "9305018"}, {"ref": "roblexnana/data-viz-tutorial-with-titanic-and-seaborn", "kernel_id": "9777862"}, {"ref": "williamscanisius/titanic-prediction", "kernel_id": "9779242"}, {"ref": "gosiafigurska/kernel3b63c0905d", "kernel_id": "9793371"}, {"ref": "subhamp7/kaggle-titanic-disaster-python-code", "kernel_id": "9299880"}, {"ref": "anu420/simple-titanic-survival-with-logistic-regression", "kernel_id": "9306419"}, {"ref": "rikideguchi/second-trial", "kernel_id": "9019171"}, {"ref": "abhimanyups/titanium-forest", "kernel_id": "9727460"}, {"ref": "aravindsolaiappan/solai-titanic", "kernel_id": "9354742"}, {"ref": "wesleyneill/titanic-a-complete-walk-through-v1", "kernel_id": "9213435"}, {"ref": "simonakhatipova/neural-network-with-eda-titanic", "kernel_id": "9451916"}, {"ref": "nikitakapoor/titanic-prediction", "kernel_id": "9291737"}, {"ref": "sebastianbedu/titanic", "kernel_id": "9697036"}, {"ref": "markusfiordaliso/titanic-predicting-passenger-survival", "kernel_id": "9352658"}, {"ref": "rachamaduguraviteja/titanic-dataset-by-raviteja", "kernel_id": "9006956"}, {"ref": "mervatnabil1/titanic-data-science-solutions-modified-copy", "kernel_id": "9067724"}, {"ref": "saiharsha1234/titanic-approach2-part1", "kernel_id": "9666415"}, {"ref": "saiharsha1234/titanic-approach1-harsha", "kernel_id": "9664643"}, {"ref": "mohitkr05/titanic-supervised-learning-attempt", "kernel_id": "9464816"}, {"ref": "rishabhtiwari01/predictions-notebook", "kernel_id": "9813652"}, {"ref": "gauravnpatwardhan/titanic-analysis", "kernel_id": "9395257"}, {"ref": "nishitmalkapally/titanic-survival-csv", "kernel_id": "9660117"}, {"ref": "satyatej/titanic-survival-analysis-using-r", "kernel_id": "9591344"}, {"ref": "onarayan/log-reg-prediction-on-titanic-data", "kernel_id": "9339680"}, {"ref": "ankitchawla/titanic-practice", "kernel_id": "9405032"}, {"ref": "paperbaek/my-titanic-0430", "kernel_id": "9208214"}, {"ref": "writuparnabanerjee/titanic-people-who-were-more-likely-to-survive", "kernel_id": "9776441"}, {"ref": "keshavbansal001/titanic-data-logistic-regression", "kernel_id": "9138809"}, {"ref": "lfsilva/kernel338e014975", "kernel_id": "9578168"}, {"ref": "rizwanshafiq/titanic-classification-model", "kernel_id": "9415229"}, {"ref": "muratkara/titaniccompetion", "kernel_id": "9273300"}, {"ref": "nguyncaoduy/titanic-fastai-tabular-learner", "kernel_id": "9169383"}, {"ref": "target3/titanic-different-model-accuracy", "kernel_id": "9528125"}, {"ref": "target3/titanic-feature-engineering-1", "kernel_id": "9863898"}, {"ref": "target3/titanic-more-feature-engineering", "kernel_id": "9866558"}, {"ref": "nareshkumarjnk/titanic-prediction-with-visualizations", "kernel_id": "9715554"}, {"ref": "granjithkumar/titanic-data-visualization-a-seaborn-approach", "kernel_id": "9369814"}, {"ref": "nxrprime/how-to-create-a-good-eda-thoughts", "kernel_id": "9333678"}, {"ref": "divya1gupta/titanic-data-analysis-rf-prediction-0-81818", "kernel_id": "9210651"}, {"ref": "divya1gupta/titanic-eda-in-rscript", "kernel_id": "9341794"}, {"ref": "briansxu/passenger-survival-w-xgboost", "kernel_id": "9387473"}, {"ref": "gagan2492/titanic-pycaret-demo", "kernel_id": "9122975"}, {"ref": "pranavvp/titanicvp", "kernel_id": "9219359"}, {"ref": "nandnijain/titanic-submission", "kernel_id": "9955866"}, {"ref": "sreemantri/titanic-classification-eda", "kernel_id": "9378593"}, {"ref": "allohvk/titanic-advanced-eda", "kernel_id": "9972525"}, {"ref": "keigokono/upura-kaggle-tutorial-01-first-submission", "kernel_id": "9597873"}, {"ref": "nolenja/titanic-eda-ml-with-r", "kernel_id": "9640442"}, {"ref": "abidshahriyar/predict-survival-of-titanic-boarders", "kernel_id": "9516344"}, {"ref": "vishnukaushik/titanic-ml", "kernel_id": "9953241"}, {"ref": "jonrayfavorito/titanic-favs", "kernel_id": "9340581"}, {"ref": "muthukannang/titanic-prediction", "kernel_id": "9838839"}, {"ref": "priyanath/titanic-disaster", "kernel_id": "9661353"}, {"ref": "yalinchen/the-simplest-titanic-solution-score-to-80", "kernel_id": "9233624"}, {"ref": "ojaswisinha/titanic-model", "kernel_id": "9328437"}, {"ref": "plakshasingh/titanic-assignment", "kernel_id": "9008648"}, {"ref": "ashishrout/titanic-1", "kernel_id": "9028394"}, {"ref": "mehedeehassan/first-submission", "kernel_id": "9445057"}, {"ref": "sivakrishna3311/titanic-machine-learning-from-disaster-pycaret", "kernel_id": "9493379"}, {"ref": "gustavobhscjhdvds/titanic-notebook-em-portugu-s", "kernel_id": "9851322"}, {"ref": "youwang12312/top-13-wondering-if-i-am-doing-this-right-or-no", "kernel_id": "9640212"}, {"ref": "asmcanalkan/titanic-eda", "kernel_id": "9688636"}, {"ref": "priyasingh7655/titanic-solution", "kernel_id": "9914510"}, {"ref": "nicholaslo/getting-started-with-kaggle-titanic", "kernel_id": "9674612"}, {"ref": "rahmanuddinshaik/getting-started-with-titanic", "kernel_id": "9004840"}, {"ref": "milanlamichhane/titanic-ml", "kernel_id": "9431485"}, {"ref": "teampycaret/titanic-dataset-using-pycaret", "kernel_id": "9001538"}, {"ref": "teju4405/titanic-disaster", "kernel_id": "9504849"}, {"ref": "bantefu/kernel4ce94f1b7b", "kernel_id": "9294815"}, {"ref": "sazinsamin/titanic-using-pycaret", "kernel_id": "9673646"}, {"ref": "rohandawar/titanic-eda-ml-using-logistic-regression", "kernel_id": "9113944"}, {"ref": "rahulsharmarks/titanic-1-0", "kernel_id": "9211512"}, {"ref": "utatkmt/titanic-deeplearning", "kernel_id": "9194329"}, {"ref": "hizhevskyivladyslav/titanic-top-3-cluster-analysis", "kernel_id": "9921748"}, {"ref": "maryyy02/getting-started-w-titanic", "kernel_id": "9174162"}, {"ref": "sornaswetha/titanic-eda", "kernel_id": "9476259"}, {"ref": "arkadipmaitra/titanic-analysis-1", "kernel_id": "9915560"}, {"ref": "bipinadhikari/learning-titanic", "kernel_id": "9975296"}, {"ref": "nizamudeenk/titanic-survived-prediction", "kernel_id": "9881232"}, {"ref": "pradeepbhati/titanic-logistic-regression", "kernel_id": "9695913"}, {"ref": "siraznaorem/survival-skills-by-grylls-titanic-beg-helper", "kernel_id": "9576677"}, {"ref": "muhammadrehan444/easy-way-on-titanic-eda-ml", "kernel_id": "9195986"}, {"ref": "vidyabhadane/kernel5da1fe914b", "kernel_id": "9054437"}, {"ref": "vidyabhadane/kernel1248f73a3c", "kernel_id": "9256063"}, {"ref": "kareem3egm/learn-machine-learning-faster-1", "kernel_id": "9271522"}, {"ref": "kareem3egm/titanic-competition-solutions-with-great-kernel", "kernel_id": "9112605"}, {"ref": "dsultra/titanic-sub", "kernel_id": "9386246"}, {"ref": "antondorokhov/simple-neural-network-for-begginers", "kernel_id": "9045953"}, {"ref": "maksmixailov/titanic", "kernel_id": "9773028"}, {"ref": "maksmixailov/1-titanic", "kernel_id": "9838488"}, {"ref": "orkonungr/1-titanic-xgboost-erken", "kernel_id": "9679660"}, {"ref": "ashishkumarpanigrahy/titanic-eda-and-prediction", "kernel_id": "9802830"}, {"ref": "abhishekdhule/titanic01", "kernel_id": "9106863"}, {"ref": "essenging/neural-network-practice", "kernel_id": "9279740"}, {"ref": "essenging/titanic-neural-network-2", "kernel_id": "9524845"}, {"ref": "dibyapatra/kernel27c17fef48", "kernel_id": "9340019"}, {"ref": "sergeyakulich/feature-engineering-and-selection", "kernel_id": "9340677"}, {"ref": "anonymous2425/simple-tutorial-how-to-handle-missing-data", "kernel_id": "9877021"}, {"ref": "bretskod/predict-the-titanic", "kernel_id": "9863488"}, {"ref": "sagargupta323/titanic-com", "kernel_id": "9624631"}, {"ref": "jr1989/challenge-titanic", "kernel_id": "9161914"}, {"ref": "ctgloglu/titanic-1", "kernel_id": "9430878"}, {"ref": "sharma98/titanic-top-4", "kernel_id": "9182398"}, {"ref": "neerajarora21dec/titanic-classification", "kernel_id": "9127096"}, {"ref": "ahimangoswami/titanic-case-study-solution", "kernel_id": "9683007"}, {"ref": "farji402/titanic-survival-rate", "kernel_id": "9513326"}, {"ref": "paulisaris/titanic-dataset-regression-paul-isaris", "kernel_id": "9260540"}, {"ref": "peterbre/ui1-tita", "kernel_id": "9420601"}, {"ref": "amalj99/titanic-dataset-analysis", "kernel_id": "9296572"}, {"ref": "mahadihasantarunno/plotting-with-python-learn-80-plots-step-by-step", "kernel_id": "9725176"}, {"ref": "mviola/titanic-eda-simple-model-0-80622", "kernel_id": "9263527"}, {"ref": "jinameliachoi/tutorial-titanic-exploratory-data-analysis", "kernel_id": "9041363"}, {"ref": "jinameliachoi/tutorial-eda-to-prediction-dietanic", "kernel_id": "9052555"}, {"ref": "ankitarana/titanicdata-randomforest", "kernel_id": "9513849"}, {"ref": "ankitarana/starting-with-titanic-dataset", "kernel_id": "9495253"}, {"ref": "shankeshirahul/titanic-survival-analysis", "kernel_id": "9094856"}, {"ref": "raghuramvenkateshwar/kernel573e095e65", "kernel_id": "9273893"}, {"ref": "muhammedsaidkaya/titanicproject", "kernel_id": "9245813"}, {"ref": "sid2412/a-simple-and-effective-approach-to-ml", "kernel_id": "9233374"}, {"ref": "andreasparasian/exercise-titanic-ml-from-disaster-using-svm", "kernel_id": "9754081"}, {"ref": "amnaykanane/survival-predictions-eda-ml", "kernel_id": "9274814"}, {"ref": "miroslavrevaj/ui1-titanic", "kernel_id": "9431896"}, {"ref": "jsammy/titanic-machine-learning-from-disaster", "kernel_id": "9884111"}, {"ref": "taos2000/my-first-notebook", "kernel_id": "9936634"}, {"ref": "gulsumyetim/t-tan-c-new", "kernel_id": "9110352"}, {"ref": "gulsumyetim/step-by-step-tutorial-for-beginners", "kernel_id": "9102297"}, {"ref": "ftmozc/titanic-prediction-with-functions", "kernel_id": "9235267"}, {"ref": "anuranjan5/titanic", "kernel_id": "9829839"}, {"ref": "bydanielbenner/titanic-gridsearch-svc-knn-logr-rf-nb-vote", "kernel_id": "9234238"}, {"ref": "filippkashket/prediction-survival-titanic-passengers", "kernel_id": "9255677"}, {"ref": "mitceylan/titanicfunctioned", "kernel_id": "9172242"}, {"ref": "berkanacar/10-model-tuning-ensembling-first-n-automatically", "kernel_id": "9099891"}, {"ref": "miroslavragula/ui-ragula-semestralka", "kernel_id": "9455766"}, {"ref": "kiranpabreja/kernel27b6a92c27", "kernel_id": "9413675"}, {"ref": "vaibhavibandi/titanic-analysis", "kernel_id": "9773179"}, {"ref": "sofiamartinsson/titanic", "kernel_id": "9437981"}, {"ref": "dushantkumar/titanic", "kernel_id": "9974848"}, {"ref": "minliyu/titanic-my1-featureengineeringon-age-title", "kernel_id": "9374977"}, {"ref": "ritwikrai/titanic-tutorial-with-accuracy-81818-top-3", "kernel_id": "9365439"}, {"ref": "baburajr/titanic-machine-learning-prediction", "kernel_id": "9792523"}, {"ref": "utkuunver82/titanic-logistic-regression-r", "kernel_id": "9749203"}, {"ref": "utkuunver82/titanic-pruning-decision-tree-r", "kernel_id": "9757344"}, {"ref": "omniaabdelrahman/titanic-machine-learning-from-disaster", "kernel_id": "9017352"}, {"ref": "itskazal/titanic-visualization", "kernel_id": "9919531"}, {"ref": "kanhapanda/titanic-model", "kernel_id": "9379946"}, {"ref": "amarmandal2153/titanic-dataset-84-accuracy-top-20", "kernel_id": "9966315"}, {"ref": "tobiask88/titanic-rf-py", "kernel_id": "9457557"}, {"ref": "shiyapara/titanic-dataset-analysis", "kernel_id": "9030312"}, {"ref": "kirillnenahov/home-credit-lightgbm-solution", "kernel_id": "9283657"}, {"ref": "luciandanescu/kernel50ceec6117", "kernel_id": "9259573"}, {"ref": "hlldmr/titanic-functions", "kernel_id": "9114090"}, {"ref": "datafan07/titanic-eda-and-several-modelling-approaches", "kernel_id": "9251987"}, {"ref": "sebastian1994/titanic-ml", "kernel_id": "9515565"}, {"ref": "kirillklyukvin/first-ml-competition", "kernel_id": "9390247"}, {"ref": "lukesamuel/titaniccode-240520", "kernel_id": "9670663"}, {"ref": "andreigor08/titanic-ml-andreigor", "kernel_id": "9011069"}, {"ref": "mandarkulkarnipune/my-first-kaggle-notebook-titanic-survival-rate", "kernel_id": "9374704"}, {"ref": "ketakiborole/titanic-analysis", "kernel_id": "9508696"}, {"ref": "jamiexujiu/get-started-with-titanic", "kernel_id": "9521766"}, {"ref": "shivamburnwal/titanic-data-science-solutions", "kernel_id": "9028845"}, {"ref": "qizhengqi/getting-started-with-titanic-qizhengqi", "kernel_id": "9472745"}, {"ref": "yussefayman/titanic-final", "kernel_id": "9537921"}, {"ref": "michelikedafrancisco/cdd-embraer-titanic", "kernel_id": "9744145"}, {"ref": "kosukehagiwara/kernel748701b428", "kernel_id": "9319073"}, {"ref": "kosukehagiwara/fork-of-kernel2e5f888572-06a3a6", "kernel_id": "9064090"}, {"ref": "vinayshaw/for-beginner-titanic-model-eda-80-accuracy", "kernel_id": "9930359"}, {"ref": "dhyeylalseta/first-time", "kernel_id": "9947633"}, {"ref": "raimasen/17bme090-os-submission", "kernel_id": "9122685"}, {"ref": "digvijayyadav/titanic-codesprediction", "kernel_id": "9163415"}, {"ref": "digvijayyadav/titanic-codes", "kernel_id": "9162689"}, {"ref": "leonvahlkamp/lv-titanic-competition", "kernel_id": "9298760"}, {"ref": "mrhippo/titanic-prediction-and-analysis-with-dsh", "kernel_id": "9325312"}, {"ref": "piyushp7pravin/titanic-dataset-logistic-regression", "kernel_id": "9753189"}, {"ref": "hidircanyagiz/titanic-project-hidircan", "kernel_id": "9104363"}, {"ref": "nbayana/titanik-data-analysis-by-n-b-a", "kernel_id": "9064918"}, {"ref": "rohitsanam/titanic-data-analysis", "kernel_id": "9673232"}, {"ref": "mehmetergl/titanic", "kernel_id": "9031219"}, {"ref": "jyotmakadiya/eda-fe-xgboost-a-complete-guide-on-titanic", "kernel_id": "9212350"}, {"ref": "yoshitakaito/titanic", "kernel_id": "9539387"}, {"ref": "podadera/titanic-survivors-with-svm", "kernel_id": "9063396"}, {"ref": "procodr/titanic-beginner-s-solution", "kernel_id": "9683145"}, {"ref": "nikitacool/titanic-v-1-0-78947", "kernel_id": "9302405"}, {"ref": "abhinandanrai/titanic-survival-prediction", "kernel_id": "9347941"}, {"ref": "samuelwy/eda-workbook", "kernel_id": "9964697"}, {"ref": "adarshsambare/titanic-random-forest", "kernel_id": "9688683"}, {"ref": "adarshsambare/titanic-eda-logistic-regression", "kernel_id": "9506130"}, {"ref": "leedonghwan/kernel497f4f5649", "kernel_id": "9772463"}, {"ref": "salihmertszer/mert-s-titanic", "kernel_id": "9311017"}, {"ref": "yegorsoscuk/v33-knn-final", "kernel_id": "9174871"}, {"ref": "yegorsoscuk/v46-siete-final", "kernel_id": "9185962"}, {"ref": "karthikpuranik/getting-started-with-titanic", "kernel_id": "9915412"}, {"ref": "nischaydnk/top-3-with-logistic-regression", "kernel_id": "9762575"}, {"ref": "khaledyoung/parameter-tuning-ensemble-learning-acc-0-799", "kernel_id": "9395548"}, {"ref": "liesem/titanic-univem", "kernel_id": "9959144"}, {"ref": "danilzyryanov/titanic-ml-beginner", "kernel_id": "9290154"}, {"ref": "aleksandratsys/titanic", "kernel_id": "9395378"}, {"ref": "buptlhy/kernel3f4a6ab27d", "kernel_id": "9185588"}, {"ref": "ankitatapadia/titanic-3", "kernel_id": "9081054"}, {"ref": "ankitatapadia/titanic-rf-82", "kernel_id": "9269949"}, {"ref": "selcukwashere/sel-uk-z-titanic-eda", "kernel_id": "9118289"}, {"ref": "takeshikanai/python-kaggle-start-book-ch02-01", "kernel_id": "9287116"}, {"ref": "abhishek2mahato/titanic-a-to-z-of-classification-ml-model-top-14", "kernel_id": "9842766"}, {"ref": "kartikey24/titanic", "kernel_id": "9829292"}, {"ref": "shirishsharma/from-missing-vals-to-ml-models-with-87-acc", "kernel_id": "9850979"}, {"ref": "dominikstraka/knn-ui1", "kernel_id": "9414275"}, {"ref": "dominikstraka/ui1-knn", "kernel_id": "9418824"}, {"ref": "priyanshumittal/titanic-submission1-logistic-regression", "kernel_id": "9466847"}, {"ref": "talhakhan1992/titanic", "kernel_id": "9756433"}, {"ref": "gamerplayer/predictions-using-random-forest", "kernel_id": "9936991"}, {"ref": "vodnalasricharan/titanic-classifier-using-dcnn", "kernel_id": "9255841"}, {"ref": "grishmamodi/getting-started-with-titanic", "kernel_id": "9731247"}, {"ref": "chiranjeevsingh01/kernel2985881235", "kernel_id": "9267088"}, {"ref": "munmun2004/titanic-for-begginers", "kernel_id": "9847072"}, {"ref": "katharinateinz/are-machines-intelligent", "kernel_id": "9010583"}, {"ref": "kwakayama/procon-20200520", "kernel_id": "9543844"}, {"ref": "jamilyam/titanic-jama", "kernel_id": "9011540"}, {"ref": "katayu810/dnn-pytorch", "kernel_id": "9952899"}, {"ref": "katayu810/xgb-rf-logreg-pytorch-nn", "kernel_id": "9275615"}, {"ref": "carlesorf/titanic-deep-in-the-sea-compare-models-and-keras", "kernel_id": "9301232"}, {"ref": "carlesorf/titanic-h20-tpot-dummies-profile-report", "kernel_id": "9631821"}, {"ref": "duttasd28/ahoy-get-on-the-titanic-80", "kernel_id": "9815155"}, {"ref": "iuriimarushevskyi/titanic-competition", "kernel_id": "9194391"}, {"ref": "kshitijbaloothiya/logistic-regression-and-svm", "kernel_id": "9244549"}, {"ref": "martinma666/titanic-random-forest", "kernel_id": "9053045"}, {"ref": "igorlinhares/my-first-competition-the-titanic-challenge", "kernel_id": "9958679"}, {"ref": "hinamxx/titanic-machine-learning", "kernel_id": "9162397"}, {"ref": "megr25/titanic-keras-top-5-xgboost-and-dnn", "kernel_id": "9816218"}, {"ref": "brianpinto/titanic-notebook-rf-0-80382-accuracy", "kernel_id": "9434344"}, {"ref": "garlygarajayew/titaniceda", "kernel_id": "9743652"}, {"ref": "dud3me/titanic-competition", "kernel_id": "9939091"}, {"ref": "simonefaggi/titaniccompetition-1", "kernel_id": "9225898"}, {"ref": "shubh2005/kernel7b8de64349", "kernel_id": "9761058"}, {"ref": "souptikchakraborty/kernel6cfd871d13", "kernel_id": "9836560"}, {"ref": "sperez26/titanic", "kernel_id": "9884843"}, {"ref": "ridhomuhammad/titanicoscarmike", "kernel_id": "9374908"}, {"ref": "ridhomuhammad/titanictutorial", "kernel_id": "9450871"}, {"ref": "sethirishabh/titanic-survival-model", "kernel_id": "9177703"}, {"ref": "akshat2602/titanic-problem", "kernel_id": "9088884"}, {"ref": "manishkc06/learn-basics-of-data-science-using-titanic-dataset", "kernel_id": "9432300"}, {"ref": "necibedereli/titanic-eda", "kernel_id": "9259678"}, {"ref": "gauravsahani/titanic-dataset-with-hyper-parameter-tuning", "kernel_id": "9395513"}, {"ref": "gauravgujar/titanicmachinelearningfromdisaster", "kernel_id": "9210391"}, {"ref": "rohitdhumane/titanic-pipeline", "kernel_id": "9533395"}, {"ref": "ahmedmlabib/titanic-using-logistic-regression", "kernel_id": "9390314"}, {"ref": "subhashinimariappan/exploratory-data-analysis-titanic-dataset", "kernel_id": "9099452"}, {"ref": "subhashinimariappan/titanic-exploration", "kernel_id": "9110919"}, {"ref": "ezeanyi/exploring-titanic-survival", "kernel_id": "9046378"}, {"ref": "rungta/titanic-problem", "kernel_id": "9244113"}, {"ref": "canberkarc/titanic-advanced-feature-engineering-eda", "kernel_id": "9115366"}, {"ref": "kengofujii/titanic-datascience-tutorial", "kernel_id": "9109286"}, {"ref": "georgeyacu/titanic-data-exploration", "kernel_id": "9004176"}, {"ref": "georgeyacu/titanic-tree-model-comparison", "kernel_id": "9442797"}, {"ref": "sourinroy/rf-titanic", "kernel_id": "9019792"}, {"ref": "sourinroy/ml-from-titanic-disaster", "kernel_id": "9123834"}, {"ref": "sadullahkacar/kcr-titanic", "kernel_id": "9327983"}, {"ref": "vishalvanpariya/titanic-top-6", "kernel_id": "9687592"}, {"ref": "uriargelich/titanic-competition", "kernel_id": "9125710"}, {"ref": "timmccabe/kernel499e037e7a", "kernel_id": "9892147"}, {"ref": "burakkara25/dataiteam-burak", "kernel_id": "9177232"}, {"ref": "ginamkee/eda-visualization-prediction-titanic-survived", "kernel_id": "9858358"}, {"ref": "parulg1991/titanic-dataset-analysis-easy-to-understand", "kernel_id": "9130454"}, {"ref": "mehmetztrk1/titanic-eda", "kernel_id": "9269206"}, {"ref": "benivitai/predicting-titanic-survival-with-ml", "kernel_id": "9339045"}, {"ref": "ivanwinarto/latihan-uas", "kernel_id": "9478152"}, {"ref": "arya172/titanic-pytorch", "kernel_id": "9670929"}, {"ref": "thenishant/titanic", "kernel_id": "9614150"}, {"ref": "gkosoglu/g-kosoglu-titanic-project-eda", "kernel_id": "9691878"}, {"ref": "rizbaltazar/first-titanic-submission-v2", "kernel_id": "9972445"}, {"ref": "satdhrutipaul/titanic-basic-rcf-classification", "kernel_id": "9722417"}, {"ref": "bryanlambo/titanic", "kernel_id": "9827801"}, {"ref": "daeyeopkim/titanic", "kernel_id": "9079431"}, {"ref": "daeyeopkim/titanic-model-for-prediction-of-age", "kernel_id": "9142443"}, {"ref": "jamesngembo/titanic", "kernel_id": "9302318"}, {"ref": "varshinithatiparthi/kernel4ab5c0e932", "kernel_id": "9559352"}, {"ref": "mltrainerindianser/titanic-survivor-demo-is", "kernel_id": "9228392"}, {"ref": "kartikasharma/first-simple-attempt", "kernel_id": "9676322"}, {"ref": "srijoydas/titanic-ml-competition", "kernel_id": "9028156"}, {"ref": "ljy1237/titanic-with-python-study", "kernel_id": "9518820"}, {"ref": "pranayprasad/titanic-analysis-using-keras-ann-other-models", "kernel_id": "9573799"}, {"ref": "brooksrattigan/titanic-pandas-practice2", "kernel_id": "9022400"}, {"ref": "elifapaydn/logistic-regression-with-titanic-data", "kernel_id": "9895287"}, {"ref": "mohammaddilshad/ultimateml", "kernel_id": "9010329"}, {"ref": "jokerdd/titanic-dongguating-final", "kernel_id": "9122235"}, {"ref": "maximilianblacher/titanic-first-shot-with-python", "kernel_id": "9397725"}, {"ref": "celineterranova/first-ml-project-titanic-data", "kernel_id": "9097067"}, {"ref": "suclear/gradient-boosting-decision-tree", "kernel_id": "9368240"}, {"ref": "muhamedyoussry/titanic", "kernel_id": "9408206"}, {"ref": "akarshsharma/titanic-data-science-solutions", "kernel_id": "9733735"}, {"ref": "albherhott/titanic-step-by-step", "kernel_id": "9047654"}, {"ref": "machinescientist/titanic-for-beginners", "kernel_id": "9339841"}, {"ref": "gtatiana/getting-started-with-titanic-dataset", "kernel_id": "9729659"}, {"ref": "younesbalah/asaad-younes-group-nn", "kernel_id": "9072822"}, {"ref": "kaustubhrajimwale/titanic-1", "kernel_id": "9296099"}, {"ref": "annabelled/titanic-kaggle", "kernel_id": "9148749"}, {"ref": "sushantachakrabarty/getting-started-with-titanic", "kernel_id": "9791272"}, {"ref": "harishlakshmanan/titanic-hl", "kernel_id": "9638982"}, {"ref": "nehajthakur/titanic-survival-rate", "kernel_id": "9758646"}, {"ref": "sonbyungjin/titanic", "kernel_id": "9898536"}, {"ref": "shiravahav/kernel4992742e75", "kernel_id": "9075852"}, {"ref": "kolukulurivijaya/kernel12c552d617", "kernel_id": "9168391"}, {"ref": "vmurth/titanic-casualties", "kernel_id": "9231039"}, {"ref": "snasphysicist/snas-titanic-2", "kernel_id": "9004280"}, {"ref": "rahulkumarpatro/outliers-detection-and-removal", "kernel_id": "9130065"}, {"ref": "srb2907/titanic-getting-started-classification", "kernel_id": "9136115"}, {"ref": "matteosandrone/getting-started-with-titanic", "kernel_id": "9069415"}, {"ref": "sofrkaggle/kernel47eebe9b12", "kernel_id": "9005269"}, {"ref": "sofrkaggle/kernel151bb2b426", "kernel_id": "9298945"}, {"ref": "sofrkaggle/kernel42bfd860b3", "kernel_id": "9651534"}, {"ref": "fatiherik/titanic-sample", "kernel_id": "9024991"}, {"ref": "hyunkyujun/titanic-rogistic-reg-04212020", "kernel_id": "9034378"}, {"ref": "hyunkyujun/titanic-neural-04222020", "kernel_id": "9063803"}, {"ref": "vickyjiang/titanic-5", "kernel_id": "9739896"}, {"ref": "bekbolotnurmanbetov/titanic-prep", "kernel_id": "9072038"}, {"ref": "aiperialymbaeva/titanic-competetion", "kernel_id": "9066252"}, {"ref": "nursultankasymbekov/titanicds", "kernel_id": "9082316"}, {"ref": "aziretsherov/for-myself-titanic", "kernel_id": "9078386"}, {"ref": "ozericyer/titanic-eda-visualization", "kernel_id": "9044053"}, {"ref": "nemunemukirin/titanic-data-survivor-prediction-experiment-1", "kernel_id": "9375488"}, {"ref": "nemunemukirin/questions-about-boosting", "kernel_id": "9767180"}, {"ref": "daniel223/titanic-many-algorithms", "kernel_id": "9759353"}, {"ref": "zeyneldemrtas/titanic-eda", "kernel_id": "9291136"}, {"ref": "tylerkastner/titanic-1stattempt", "kernel_id": "9000366"}, {"ref": "profcarlosdelfino/how-to-run-kaggle-competition-on-local-computer", "kernel_id": "9052485"}, {"ref": "kalvainhindi/titanic-achieved-with-85-07-accuracy", "kernel_id": "9369805"}, {"ref": "ssanidhyabarraptay/titanic-0-8-accuracy-for-beginners", "kernel_id": "9074496"}, {"ref": "satishgunjal/prediction-using-titanic-data", "kernel_id": "9843543"}, {"ref": "hcyyyy/homework-titanic-v2", "kernel_id": "9221876"}, {"ref": "kobayashisuki/homework-titanic-ml", "kernel_id": "9193462"}, {"ref": "feritebrargrler/ferit-s-titanic-exploratory-data-analysis", "kernel_id": "9462491"}, {"ref": "dezyann/kernel3f231dc27e", "kernel_id": "9140335"}, {"ref": "puddnheadwilson/titanic-model-submission", "kernel_id": "9000824"}, {"ref": "vaibhavnauriyal/titanic", "kernel_id": "9002957"}, {"ref": "hongsungmin/kernel4a1ccbb96c", "kernel_id": "9164332"}, {"ref": "ahmetyakar/first-project", "kernel_id": "9013470"}, {"ref": "sebu713/python-kaggle-start-book-ch02-01-1dccb4", "kernel_id": "9008516"}, {"ref": "adityakukreti/kernel3d730b6c79", "kernel_id": "9125319"}, {"ref": "adeyoyintemidayo/titanic-predictions", "kernel_id": "9068336"}, {"ref": "adeyoyintemidayo/titanic-eda-and-ml", "kernel_id": "9264063"}, {"ref": "chunyinkong/titanic-survival", "kernel_id": "9468298"}, {"ref": "eternalgenin/titanic-data-prediction-improvements-using-xgb", "kernel_id": "9379738"}, {"ref": "eternalgenin/titanic-data-prediction-adaboost-v-gboost-v-xgb", "kernel_id": "9289220"}, {"ref": "eternalgenin/titanic-data-prediction-using-random-forest", "kernel_id": "9174426"}, {"ref": "eternalgenin/titanic-data-prediction-using-decision-tree", "kernel_id": "9129874"}, {"ref": "eternalgenin/titanic-data-prediction-using-logistic-regression", "kernel_id": "9131139"}, {"ref": "ogulcanhalat/basic-titanic-eda", "kernel_id": "9174643"}, {"ref": "keisukepe/kerneldd910a66c6", "kernel_id": "9017883"}, {"ref": "keisukepe/12345", "kernel_id": "9038034"}, {"ref": "javival/titanic-javivale", "kernel_id": "9256425"}, {"ref": "recepsahin/titanic-by-the-help-of-dataiteam", "kernel_id": "9136763"}, {"ref": "malekguedda/kernel2c5d45a965", "kernel_id": "9157634"}, {"ref": "francispoezevara/simple-logistic-regression-my-first-notebook", "kernel_id": "9533253"}, {"ref": "tomofumiamano/kernel4304a2cca1", "kernel_id": "9026412"}, {"ref": "jasperniemeyer/titanic-eda", "kernel_id": "9050546"}, {"ref": "ivanhercaz/getting-started-in-kaggle-titanic", "kernel_id": "9077297"}, {"ref": "hamzarafiq/titanic-eda-and-ml-modeling", "kernel_id": "9164464"}, {"ref": "cristinasotomayor/titanic", "kernel_id": "9121751"}, {"ref": "aqolta/titanic-eda", "kernel_id": "9070645"}, {"ref": "ryu581/kernelee2050440c", "kernel_id": "9040010"}, {"ref": "ashishthanki95/ashish-thanki-titanic", "kernel_id": "9417881"}, {"ref": "erkekasenova/titanic-from-beginner", "kernel_id": "9648649"}, {"ref": "lewinnoronha18/logistic-regression-for-predictions", "kernel_id": "9185967"}, {"ref": "sadimruss/survivors-predictor", "kernel_id": "9045565"}, {"ref": "ilyasmelyanskiy/surviving-the-titanic", "kernel_id": "9050033"}, {"ref": "joelwhittier/getting-started-with-titanic", "kernel_id": "9064170"}, {"ref": "marioruizgonzalez/titanic-survivor-mrg", "kernel_id": "9159815"}, {"ref": "anuraggupta29/titanic-eda-challenge-using-gridsearchcv", "kernel_id": "9175528"}, {"ref": "anuraggupta29/titanic-challenge-using-ann", "kernel_id": "9157327"}, {"ref": "anuraggupta29/titanic-challenge-using-all-common-classifiers", "kernel_id": "9136511"}, {"ref": "yusukemigitera/tf-first", "kernel_id": "9726962"}, {"ref": "yusukemigitera/2layernet", "kernel_id": "9656503"}, {"ref": "fagnerpaes/titanic", "kernel_id": "9889355"}, {"ref": "fagnerpaes/cdd-titanic", "kernel_id": "9897162"}, {"ref": "rahul96rajan/getting-started-with-titanic-on-kaggle", "kernel_id": "9276540"}, {"ref": "alybekdandaev/menin-titanigim", "kernel_id": "9081840"}, {"ref": "shubhamkumaragrawal/getting-started-with-titanic", "kernel_id": "9156696"}, {"ref": "shubhamkumaragrawal/titanic-did-you-survive", "kernel_id": "9592935"}, {"ref": "aifoxcoder/getting-in-top-30-with-just-6-cells-of-code", "kernel_id": "9082711"}, {"ref": "hulux00/a-guide-to-handling-missing-values-in-python", "kernel_id": "9864231"}, {"ref": "abhay1997/titanic-disaster-various-techniques", "kernel_id": "9690608"}, {"ref": "gabinene/isamm-workshop", "kernel_id": "9085166"}, {"ref": "madhulikamitra/titanic-survival-prediction", "kernel_id": "9145485"}, {"ref": "felipeleonardi/titanic-survival-predict", "kernel_id": "9348603"}, {"ref": "bhargavparmar/getting-started-with-titanic", "kernel_id": "9389387"}, {"ref": "mjvithesh/mytitanic", "kernel_id": "9238657"}, {"ref": "soudharmpatil/titanic-first", "kernel_id": "9747176"}, {"ref": "vishnuvarthanrao/titanic-dataset", "kernel_id": "9109708"}, {"ref": "melihekici/80-14-accuracy-with-eda-and-feature-engineering", "kernel_id": "9230636"}, {"ref": "saiuppati/titanic-survival-predictor", "kernel_id": "9287938"}, {"ref": "heyderzulfuqarov/titanic-data-science-solutions", "kernel_id": "9325583"}, {"ref": "alexandraneagu/titanic-predicting-survival-of-passengers", "kernel_id": "9250742"}, {"ref": "joeshymanski/titanic-survival-modeled-by-a-simple-decision-tree", "kernel_id": "9420662"}, {"ref": "yama0824/titanic", "kernel_id": "9293017"}, {"ref": "deep1144/titanic-survival", "kernel_id": "9275532"}, {"ref": "tomerweiss248/the-titanic-first-ml-challenge-decision-tree-r", "kernel_id": "9798822"}, {"ref": "alincijov/titanic-neural-network-numpy-scratch", "kernel_id": "9208512"}, {"ref": "ayoajetomobi/kernel736bd60c49", "kernel_id": "9117781"}, {"ref": "yashsh47/kernel2df6192f31", "kernel_id": "9188575"}, {"ref": "erginyaman/ey-titanic", "kernel_id": "9501894"}, {"ref": "manuelkraus89/titanic-first-notebook", "kernel_id": "9253526"}, {"ref": "sakshi0100/titanic-survivor", "kernel_id": "9243941"}, {"ref": "aadityasinghal/titanic-machine-learning-from-disasters-model", "kernel_id": "9279003"}, {"ref": "emekaihedilionye/final-titanic-solutions", "kernel_id": "9467874"}, {"ref": "adrianonsare/titanic-dataset-survival-prediction", "kernel_id": "9495833"}, {"ref": "karadumancagatay/the-titanic-eda-by-k", "kernel_id": "9214400"}, {"ref": "dain5832/getting-started-with-titanic", "kernel_id": "9128610"}, {"ref": "parthsirohi101/titanic-problem", "kernel_id": "9130234"}, {"ref": "laurenohare1/titanic-beginner-naive-bayes-model-caret-r", "kernel_id": "9870529"}, {"ref": "debdinnyabanerjee/titanic-dataset", "kernel_id": "9156312"}, {"ref": "adss99/titanic-data-analysis", "kernel_id": "9203740"}, {"ref": "ismailhakkitarhan/titanic-eda", "kernel_id": "9178750"}, {"ref": "erikadaza/proyecto-big-data", "kernel_id": "9140898"}, {"ref": "sedayldz/rastgele-orman-algoritmas-seda-y-ld-z", "kernel_id": "9583296"}, {"ref": "kumaranand18/kernel6ecb84ab70", "kernel_id": "9188246"}, {"ref": "alexjunior/titanic-first-model", "kernel_id": "9804401"}, {"ref": "vedato/titanic-ml", "kernel_id": "9746662"}, {"ref": "kokitanisaka/titanic", "kernel_id": "9539180"}, {"ref": "bradeneberhard/kernel3df3714643", "kernel_id": "9328935"}, {"ref": "candemirhan/titanic-eda-and-prediction-model", "kernel_id": "9545263"}, {"ref": "cerrah/classification", "kernel_id": "9459979"}, {"ref": "subhromandal/titanic-ml", "kernel_id": "9226151"}, {"ref": "sandyvillafuerte/mejorando-titanic-sandy", "kernel_id": "9832515"}, {"ref": "jorgeestevao/titanic", "kernel_id": "9417807"}, {"ref": "yusukearai/rev-lenear-leg", "kernel_id": "9950669"}, {"ref": "yusukearai/rev-titanic-score-80-over-ensemble", "kernel_id": "9954828"}, {"ref": "yusukearai/rev-xgboost-parametertuning-manual", "kernel_id": "9949450"}, {"ref": "yusukearai/rev-neural-net", "kernel_id": "9949930"}, {"ref": "flirtun/titanik", "kernel_id": "9185829"}, {"ref": "aleksandrdremov/titanicml", "kernel_id": "9217671"}, {"ref": "lavnishkumarsingh/first-kernel-with-titanic-dataset", "kernel_id": "9188660"}, {"ref": "abhipavi/titanic", "kernel_id": "9417716"}, {"ref": "bryanafreeman/titanic-ensemble-pipeline", "kernel_id": "9291718"}, {"ref": "raviagheda/titanic-survival-using-logistic-regression", "kernel_id": "9506551"}, {"ref": "justintlau/titanic-approach-from-college-stats-majors", "kernel_id": "9476165"}, {"ref": "niharikasinha/titanic2", "kernel_id": "9204665"}, {"ref": "mohammedmurtuzalabib/titanic-survival-analysis", "kernel_id": "9261208"}, {"ref": "shivamsharma00/kernel209cd6df65", "kernel_id": "9224420"}, {"ref": "thakareakshay1709/firstkaggle-titanic-tutorial", "kernel_id": "9255122"}, {"ref": "elifmeseci/titanic-eda", "kernel_id": "9329266"}, {"ref": "sebastianleipert/r-examine-titanic", "kernel_id": "9243715"}, {"ref": "dilarazdemir/titanic-eda", "kernel_id": "9323695"}, {"ref": "strike48/titanic-with-dataliner-data-preprocessing-module", "kernel_id": "9228560"}, {"ref": "alokkumarmishra/titanic", "kernel_id": "9902455"}, {"ref": "chitpurbeditapadia/titanic-2", "kernel_id": "9232217"}, {"ref": "utkuzkan/utku-titanic-eda", "kernel_id": "9649760"}, {"ref": "timheller/titanic-by-random-forest-classification", "kernel_id": "9288293"}, {"ref": "mariuszgaljan/titanic-predictions", "kernel_id": "9366247"}, {"ref": "olaideajibade/prediction-of-survival-on-the-titanic", "kernel_id": "9576311"}, {"ref": "ramadianri/getting-started-with-titanic", "kernel_id": "9241684"}, {"ref": "vamsikrishnabommidi/getting-started-with-titanic", "kernel_id": "9730497"}, {"ref": "kojifuyuno/python-kaggle-start-book-ch02-01", "kernel_id": "9645671"}, {"ref": "basarkayastudent/titanic-eda-bk", "kernel_id": "9363347"}, {"ref": "muzahidurrahman/titanic-python-xgboost-rahman", "kernel_id": "9289777"}, {"ref": "muzahidurrahman/titanic-r-kernelsvm-rahman", "kernel_id": "9299321"}, {"ref": "cbackes000/cbackes-titanic-comp", "kernel_id": "9310679"}, {"ref": "stafansanthosh/kernel3297aa877a", "kernel_id": "9576302"}, {"ref": "swapnilsangal/titanic-predicting-survival", "kernel_id": "9627797"}, {"ref": "swapnilsangal/exploring-variables", "kernel_id": "9585829"}, {"ref": "karthikbelur/titanic-trial-model", "kernel_id": "9269947"}, {"ref": "rishikts/rishikts-titanic", "kernel_id": "9507324"}, {"ref": "rebekahstagg/spring-2020-mat-4113-contract", "kernel_id": "9347064"}, {"ref": "marinaborges/titanic-machine-learning-exercise", "kernel_id": "9940582"}, {"ref": "dmitry256/titanic-notebook-79-904-accuracy-lightgbm", "kernel_id": "9312353"}, {"ref": "ra4bht/plotting-with-python-learn-80-plots-mod-ra", "kernel_id": "9286767"}, {"ref": "prathamjindal/titanic-task", "kernel_id": "9777923"}, {"ref": "nekkittay/titanic-notebook1", "kernel_id": "9415599"}, {"ref": "naokimatsumoto/titanic", "kernel_id": "9296220"}, {"ref": "reddynikhil84/titanic-survival-prediction", "kernel_id": "9295252"}, {"ref": "byunggyupark/ttt-koreans", "kernel_id": "9297658"}, {"ref": "anuragdeshpande/titanic-survival-prediction-with-an-deep-nn", "kernel_id": "9304850"}, {"ref": "adyajaiswal/titanic-data-analysis", "kernel_id": "9323728"}, {"ref": "timothyalexjohn/titanic-survivors-challenge", "kernel_id": "9702804"}, {"ref": "jamesramos/titanic-introductory-code", "kernel_id": "9594275"}, {"ref": "missjaanii/getting-started-with-titanic", "kernel_id": "9996046"}, {"ref": "yasseraloui/titanicdisaster-survivorprediction-78-46-accuracy", "kernel_id": "9339337"}, {"ref": "kumarselvakumaran/journey-to-top-2-clean-pipelines-and-ensemble", "kernel_id": "9888019"}, {"ref": "mostafahanafi/titanic", "kernel_id": "9371895"}, {"ref": "benjonasherbertz/kernel322f933524", "kernel_id": "9338229"}, {"ref": "benjonasherbertz/kernel61b6f99d2c", "kernel_id": "9340470"}, {"ref": "somyagupta1995/kernel69c73bd941", "kernel_id": "9340067"}, {"ref": "andronovkonstantin/kernel4a2427db79", "kernel_id": "9488536"}, {"ref": "alamakbar/first-kaggle-project", "kernel_id": "9347922"}, {"ref": "mrhash/getting-started-with-titanic", "kernel_id": "9606142"}, {"ref": "baichaolumen/kernel6d533c8466", "kernel_id": "9354655"}, {"ref": "moamennasser/kernelb5f2fc1615", "kernel_id": "9423890"}, {"ref": "moamennasser/first-submission", "kernel_id": "9424661"}, {"ref": "hiroshiimai/python-kaggle-start-book-ch02-01", "kernel_id": "9377473"}, {"ref": "devikathampi/titanic-machine-learning-from-disaster", "kernel_id": "9448652"}, {"ref": "devikathampi/titanic-machine-learning-from-disaster-v2", "kernel_id": "9711561"}, {"ref": "igalbronshtein/titanic-fare-column-imputation", "kernel_id": "9979676"}, {"ref": "vadimsuraev/titanic-exercises", "kernel_id": "9870394"}, {"ref": "nachiketnema/kernel211bacea4d", "kernel_id": "9718347"}, {"ref": "arpitml/kernel7f8f387650", "kernel_id": "9860225"}, {"ref": "bhanurdramohapatra/titanic-prediction", "kernel_id": "9397557"}, {"ref": "muhammetalikula/titanic-ml-project", "kernel_id": "9761238"}, {"ref": "shannonohare/titanic-shannon", "kernel_id": "9632132"}, {"ref": "lucalafontaine/decision-trees-v-titanic", "kernel_id": "9559506"}, {"ref": "ochuk1/titanikbykoryakin", "kernel_id": "9543737"}, {"ref": "rushikeshdudhat/titanic-ml-challenge", "kernel_id": "9840202"}, {"ref": "ginelledsouza/survivors-of-titanic", "kernel_id": "9428885"}, {"ref": "dsinjaya/titanic-beginner-approach", "kernel_id": "9455167"}, {"ref": "shalabh2906/titanic-mystery-80-accuracy", "kernel_id": "9508570"}, {"ref": "dilaratopan/titanic-d", "kernel_id": "9662525"}, {"ref": "martinslanicay/ui-1-martinslanicay", "kernel_id": "9434906"}, {"ref": "anthonytorres/getting-started-with-titanic", "kernel_id": "9582566"}, {"ref": "vincentdion/reach-0-79-as-a-beginner", "kernel_id": "9900396"}, {"ref": "ouyangg/titanic", "kernel_id": "9486858"}, {"ref": "ouyangg/first-try-in-kaggle", "kernel_id": "9450050"}, {"ref": "mizuki0034/titanic-training4-lgb", "kernel_id": "9883282"}, {"ref": "mizuki0034/titanic-training4-randomforest", "kernel_id": "9882200"}, {"ref": "mizuki0034/titanic-training3", "kernel_id": "9881881"}, {"ref": "vincentsutinah/rf-model-using-sklearn-package", "kernel_id": "9445512"}, {"ref": "vincentsutinah/xgboost-model", "kernel_id": "9487353"}, {"ref": "oliversluk/ui-1-oliver-slusnak", "kernel_id": "9431594"}, {"ref": "rishabhpareekk/titanic-dataset", "kernel_id": "9650335"}, {"ref": "vaidicjain/titanic-easy-deeplearning-acc-78", "kernel_id": "9450944"}, {"ref": "mdelhaye/2-titanic-v3-6", "kernel_id": "9489998"}, {"ref": "hepavi/titanic-version2", "kernel_id": "9760234"}, {"ref": "anasofiauzsoy/kerastuner-tensorflow-deep-learning-t", "kernel_id": "9550421"}, {"ref": "yurimuniz/getting-started-with-titanic", "kernel_id": "9561215"}, {"ref": "adriengrainville/kernel6301a08b7d", "kernel_id": "9534842"}, {"ref": "rutvikbade/fork-of-titanic-problem-bagging", "kernel_id": "9559323"}, {"ref": "rutvikbade/titanic-problem-random-forest-and-hyperparm-optz", "kernel_id": "9502002"}, {"ref": "olakunleajetunmobi/titanic-prediction-using-machine-learning", "kernel_id": "9836995"}, {"ref": "patrikkov/ui-final", "kernel_id": "9549028"}, {"ref": "patrikkov/kovac-ui", "kernel_id": "9549073"}, {"ref": "iremhatipoglu/mid-term-project-titanic-data-analysis-prediction", "kernel_id": "9463259"}, {"ref": "iremhatipoglu/final-project-titanic-interactive-data-analysis", "kernel_id": "9784067"}, {"ref": "luizhemerly/secondtitanic", "kernel_id": "9777785"}, {"ref": "luizhemerly/firsttitanic", "kernel_id": "9756601"}, {"ref": "philipbell/first-titanic-notebook", "kernel_id": "9486581"}, {"ref": "birkanana/kernel49a4501d88", "kernel_id": "9822736"}, {"ref": "yehorzvuzdetskyi/zvuzdetskyi-yehor-individual-task", "kernel_id": "9470476"}, {"ref": "vikayarska/yarska-victoria-individual-task", "kernel_id": "9474854"}, {"ref": "williamgarrof/titanic-garrofe-william", "kernel_id": "9547230"}, {"ref": "nicolassabre/sabre-nicolas-titanic", "kernel_id": "9584459"}, {"ref": "salmanji/titanic-salmaneji", "kernel_id": "9568402"}, {"ref": "saoirsewilde/titanic-models", "kernel_id": "9509000"}, {"ref": "bagindamohamad/latihantitanic", "kernel_id": "9503269"}, {"ref": "ifateh/titanic-competition", "kernel_id": "9545411"}, {"ref": "surajmbv/titanic-m-l-project-1", "kernel_id": "9525805"}, {"ref": "pranayteaches/titanic-submission-basic", "kernel_id": "9682082"}, {"ref": "akzeeb/first-competition-70-to-22", "kernel_id": "9796771"}, {"ref": "yuritakaki/titanic", "kernel_id": "9944787"}, {"ref": "jareddeguzman/titanic-data", "kernel_id": "9728887"}, {"ref": "boltang22/titanic-for-test", "kernel_id": "9529149"}, {"ref": "waiyankhinemyo/titanic-logistics-regression-knn-decision-tree", "kernel_id": "9997683"}, {"ref": "itsmekumar/titanic-model-1", "kernel_id": "9534089"}, {"ref": "mitradenizkarata/titanic-eda-mitra", "kernel_id": "9734626"}, {"ref": "dahmanielyes/data-titanic", "kernel_id": "9960427"}, {"ref": "jojo7zhou/kernel7f8b4c851e", "kernel_id": "9586673"}, {"ref": "hidekimotohashi/titanic-data-science", "kernel_id": "9988085"}, {"ref": "swapnilsuryawanshi/swapnil-s-first-step-to-ml", "kernel_id": "9547216"}, {"ref": "navpreetsinghbedi/getting-started-with-titanic", "kernel_id": "9547913"}, {"ref": "amauryhochart/hochart-amaury-le-titanic", "kernel_id": "9556944"}, {"ref": "aymanoussama/5-machine-learning-exemple-du-titanic", "kernel_id": "9719732"}, {"ref": "xleonn/titanic-data-science-solutions", "kernel_id": "9583594"}, {"ref": "grantcooper/titanic-survival-predications", "kernel_id": "9634195"}, {"ref": "markkevinongyiu/titanic-starter-competition", "kernel_id": "9602226"}, {"ref": "leonis7/titanic-machine-learning-from-disaster", "kernel_id": "9620555"}, {"ref": "droppeddolphin/titanic", "kernel_id": "9655570"}, {"ref": "moreauarthur/titanice", "kernel_id": "9596808"}, {"ref": "parastyagi/jack-dies-titanic-journey", "kernel_id": "9604933"}, {"ref": "appletomo/titanic-best-submission", "kernel_id": "9986637"}, {"ref": "albinkatv/head-start-for-data-scientist", "kernel_id": "9585434"}, {"ref": "aatmsaat/first-titatic-attempt", "kernel_id": "9705662"}, {"ref": "adnanasif/who-survives", "kernel_id": "9623254"}, {"ref": "beksultankarimov/learn-random-forests-with-titanic-dataset-top-3", "kernel_id": "9952706"}, {"ref": "janhavikulkarni/kernel6689598069", "kernel_id": "9630631"}, {"ref": "sagnik1511/kernela3a7a2c3c1", "kernel_id": "9703306"}, {"ref": "robertogomes/titanic-deep-learning-tensorflow-2", "kernel_id": "9835766"}, {"ref": "rubencoppens/my-first-competition-titanic", "kernel_id": "9872437"}, {"ref": "marcelofarinha/titanic-notebook", "kernel_id": "9599064"}, {"ref": "tatianaabe/titanic-notebook-datascience", "kernel_id": "9899588"}, {"ref": "felipemartini/titanic-notebook", "kernel_id": "9852611"}, {"ref": "gurusabarish/titanic-solution-with-84-accuracy", "kernel_id": "9612728"}, {"ref": "adrianschriffel/titanic-s-neuronovou-sietou", "kernel_id": "9610701"}, {"ref": "moalba/kernel3eefb73b62", "kernel_id": "9659000"}, {"ref": "yuankunsong/titanic-eda", "kernel_id": "9963446"}, {"ref": "yuankunsong/titanic-analysis", "kernel_id": "9979452"}, {"ref": "jonathanmoore2/titanic-dataset-challenge", "kernel_id": "9806433"}, {"ref": "jayitabhattacharyya/titanic-prediction", "kernel_id": "9956401"}, {"ref": "francoisbertrand/two-line-eda-of-titanic-using-sweetviz-analysis", "kernel_id": "9741489"}, {"ref": "niranjantuty/kernel-titanic", "kernel_id": "9680339"}, {"ref": "giacomoscarabello/getting-started-with-titanic-data", "kernel_id": "9653394"}, {"ref": "junaid114/titanic", "kernel_id": "9657482"}, {"ref": "tiagost11/titanic", "kernel_id": "9897157"}, {"ref": "jacobvoyles/titanic-survival-data", "kernel_id": "9811074"}, {"ref": "vincerhodes/my-first-sub-titanic-following-guides", "kernel_id": "9704110"}, {"ref": "shiarureusacys/kernel4c08cc991d", "kernel_id": "9898532"}, {"ref": "wilsonq/titanic-comp", "kernel_id": "9701220"}, {"ref": "vinayganapathy/titanic-vinay", "kernel_id": "9670184"}, {"ref": "lazyd3v/logistic-regression-approach", "kernel_id": "9672152"}, {"ref": "kevinarajomestrinel/titanicaccuracy", "kernel_id": "9829342"}, {"ref": "joedockrill/titanic-1st-crack-75-pcnt", "kernel_id": "9976406"}, {"ref": "yodaitanaka/hyper-parameter", "kernel_id": "9858493"}, {"ref": "efstathiosstratakos/excercise1ai", "kernel_id": "9712630"}, {"ref": "hemanthkumarkarangi/logistic-regression", "kernel_id": "9739875"}, {"ref": "rahuljana02021999/titanic-case-study", "kernel_id": "9716260"}, {"ref": "andrejsilin/titanic-with-svm-in-3-simple-steps", "kernel_id": "9995769"}, {"ref": "cyberthanos/getting-started-with-titanic", "kernel_id": "9720254"}, {"ref": "himarosa/kernel374f05fa37", "kernel_id": "9723574"}, {"ref": "himarosa/fork-of-kernel374f05fa37", "kernel_id": "9724330"}, {"ref": "arjunchaurasia/kernel27ef258436", "kernel_id": "9759301"}, {"ref": "rab4280/machine-learning-with-titanic-dataset", "kernel_id": "9742381"}, {"ref": "stephanierufino/projetotitanic", "kernel_id": "9744567"}, {"ref": "jrosvigan/titanic-mod-le-de-predictions-ml", "kernel_id": "9997043"}, {"ref": "otaguroken/titanic-gradient-boosting", "kernel_id": "9770957"}, {"ref": "roberttolan/getting-started-with-titanic", "kernel_id": "9835317"}, {"ref": "someshdev/prediction-model-for-the-titianic-dataset", "kernel_id": "9826033"}, {"ref": "blurredmachine/titanic-survival-a-complete-guide-for-beginners", "kernel_id": "9877320"}, {"ref": "lithickaanandavel/kernel58b6a61634", "kernel_id": "9820187"}, {"ref": "mollywiener/getting-started-titanic", "kernel_id": "9892617"}, {"ref": "mollywiener/titanic-take-2", "kernel_id": "9893499"}, {"ref": "mollywiener/titanic-4", "kernel_id": "9894663"}, {"ref": "mollywiener/titanic-3", "kernel_id": "9894431"}, {"ref": "ywhenlyn/titanic-machine-learning", "kernel_id": "9983704"}, {"ref": "mathiasgautier/getting-started-with-titanic-mat", "kernel_id": "9995943"}, {"ref": "codertv/v31-05-16-00", "kernel_id": "9823398"}, {"ref": "adamasorho/titanic", "kernel_id": "9960414"}, {"ref": "koichim/titanic-data-science-solutions", "kernel_id": "9837471"}, {"ref": "gaurangvichare/getting-started-with-titanic", "kernel_id": "9858056"}, {"ref": "lucasvale/titanic-ml-usjt", "kernel_id": "9855801"}, {"ref": "chendaole/titanic", "kernel_id": "9881833"}, {"ref": "shamimsanisales/kernel72eb23d420", "kernel_id": "9881796"}, {"ref": "samanyazdannik/kernel6f46242b5f", "kernel_id": "9881641"}, {"ref": "chandrimad31/disaster-survival-prediction-decision-region-plot", "kernel_id": "9863354"}, {"ref": "komalvishwakarma/titanic", "kernel_id": "9944917"}, {"ref": "snehalkumar05/titanic-optimized", "kernel_id": "9891036"}, {"ref": "rajpratyush/kernel642d154e18", "kernel_id": "9901651"}, {"ref": "paulolimamm/titanic-paulolima", "kernel_id": "9897131"}, {"ref": "sidneysoaresjunior/projeto-titanic", "kernel_id": "9898349"}, {"ref": "zhiweiteh/titanic-machine-learning-from-disaster", "kernel_id": "9961547"}, {"ref": "jaecheoljung/kernel2aab823620", "kernel_id": "9918832"}, {"ref": "wellery/titanic-solution", "kernel_id": "9909799"}, {"ref": "manju1412/titanic-survival-prediction", "kernel_id": "9951736"}, {"ref": "mayankgoyaliitg/start-titanic", "kernel_id": "9937079"}, {"ref": "bulbulbhati/kernel1d56bd734e", "kernel_id": "9956643"}, {"ref": "tianea/titanic", "kernel_id": "9946318"}, {"ref": "mlungisingqebe/titanic-logistic-regression", "kernel_id": "9998580"}, {"ref": "atiehkhaleghi/titanic", "kernel_id": "9991448"}, {"ref": "meedley/titanic-survivability-prediction-by-a-newbie", "kernel_id": "10888828"}, {"ref": "ljr38687/classification-using-python-titanic-dataset", "kernel_id": "10506152"}, {"ref": "mandalsubhajit/venn-diagram-on-titanic-data", "kernel_id": "10067938"}, {"ref": "mandalsubhajit/sankey-diagram-on-titanic-data", "kernel_id": "10134055"}, {"ref": "altanai/kernel4577b9ba41", "kernel_id": "10863860"}, {"ref": "vikramdutt/titanic-basic-solution-with-logistic-regression", "kernel_id": "10807305"}, {"ref": "loveall/automated-ml-tools-for-data-scientists", "kernel_id": "10708378"}, {"ref": "alekhya14/titanic-v1", "kernel_id": "10721128"}, {"ref": "rishushrivastava/titanic-notebook-pytorch", "kernel_id": "10991549"}, {"ref": "krishnaharish/titanic1", "kernel_id": "10534956"}, {"ref": "abisheksudarshan/titanic-top-10-solution", "kernel_id": "10414000"}, {"ref": "pheadrus/semi-supervised-classification-using-autoencoders", "kernel_id": "10573739"}, {"ref": "saisatish09/a-beginner-s-guide-to-feature-selection-methods", "kernel_id": "10140650"}, {"ref": "user321451/titanic-with-ensemble-modeling", "kernel_id": "10639215"}, {"ref": "valentindefour/titanic-few-useful-functions-and-a-simple-model", "kernel_id": "10293632"}, {"ref": "andyprk/titanic-notebook", "kernel_id": "10812012"}, {"ref": "osamaaref/getting-started-with-titanic", "kernel_id": "10067742"}, {"ref": "osamaaref/my-first-try-on-titanic", "kernel_id": "10067478"}, {"ref": "analyst8/explanatory-titantic-submission", "kernel_id": "10670419"}, {"ref": "kaitoii11/kernel67770145aa", "kernel_id": "10568336"}, {"ref": "satyads/random-forest-feature-importance", "kernel_id": "10887451"}, {"ref": "nickiler/titanic-competition-by-electronick", "kernel_id": "10676828"}, {"ref": "rangarajanm/titanic-survivors", "kernel_id": "10854282"}, {"ref": "suvroneel/kernel1c01f6c918", "kernel_id": "10790407"}, {"ref": "priyanka13/titanic-xgboost", "kernel_id": "10901313"}, {"ref": "nehabansal/beginner-notebook-automation-modelling-feature", "kernel_id": "10287329"}, {"ref": "zmey56/titanic-2020-ml-and-keras", "kernel_id": "10671850"}, {"ref": "mksaad/titanic-linear-estimator-keras", "kernel_id": "10697062"}, {"ref": "mksaad/titanic-eda-prediction", "kernel_id": "10537650"}, {"ref": "mksaad/fork-of-titanic-competition-xgboosting", "kernel_id": "10498020"}, {"ref": "mksaad/titanic-competition-randomforest", "kernel_id": "10497470"}, {"ref": "albeirog82/titanic-classifiers", "kernel_id": "10804344"}, {"ref": "finlay/kaggle-ch1", "kernel_id": "10854007"}, {"ref": "rsesha/autoviz-demo", "kernel_id": "10742726"}, {"ref": "sherli/titanic-ml-predictions-top-25", "kernel_id": "10742256"}, {"ref": "kapilt1991/training-titanic-demo", "kernel_id": "10769037"}, {"ref": "walxineygalvao/titanic-very-simple-code", "kernel_id": "10127842"}, {"ref": "chrischien17/tutorial-for-beginners-2", "kernel_id": "10498878"}, {"ref": "chrischien17/tutorial-for-beginners-part-1", "kernel_id": "10874160"}, {"ref": "habibmrad1983/getting-started-with-titanic", "kernel_id": "10270574"}, {"ref": "habibmrad1983/titanic-tutorial", "kernel_id": "10269985"}, {"ref": "shcho8n/an-interactive-data-science-tutorial", "kernel_id": "10758167"}, {"ref": "shcho8n/fork-of-an-interactive-data-science-tutorial", "kernel_id": "10786650"}, {"ref": "narasimham/titanic-eda-and-ml", "kernel_id": "10187303"}, {"ref": "annie01/titanic-survival-classification", "kernel_id": "10872076"}, {"ref": "kaunal11/kunal-titanic", "kernel_id": "10701859"}, {"ref": "knageswara78/kaggle-titanic-python-solution-step-by-step", "kernel_id": "10935809"}, {"ref": "igorilic94/titanic-starter", "kernel_id": "10044098"}, {"ref": "javaproman/titanic", "kernel_id": "10699582"}, {"ref": "ramsahu/titanic-comparing-various-models", "kernel_id": "10296330"}, {"ref": "wburchenal/titanic-pile-of-garbage", "kernel_id": "10668433"}, {"ref": "ishivinal/sklearn-rapids-pandas", "kernel_id": "10444784"}, {"ref": "kapiltrip/titanic-training-demo", "kernel_id": "10769435"}, {"ref": "kapiltrip/titanic-training-demo-fin", "kernel_id": "10786797"}, {"ref": "cagyekum/titanic-into-to-machine-learning", "kernel_id": "10767780"}, {"ref": "fermatsavant/ann-with-high-acc", "kernel_id": "10495291"}, {"ref": "sarantrks/titaniceda", "kernel_id": "10581966"}, {"ref": "gaurav896/who-survived", "kernel_id": "10378467"}, {"ref": "currypurin/titanic-sweetviz-eda", "kernel_id": "10621657"}, {"ref": "kroxigor/kernel58c69e6074", "kernel_id": "10918956"}, {"ref": "davlanigan/sklearn-classifiers", "kernel_id": "10352297"}, {"ref": "krrai77/simple-eda-prediction-using-rforest-decisiontr", "kernel_id": "10313846"}, {"ref": "azsadic/titanic-survival-prediction-with-ensemble-learning", "kernel_id": "10581404"}, {"ref": "mohamedbilal/titanic-model-classifiers", "kernel_id": "10457932"}, {"ref": "ekrembayar/titanic-all-models-kaggle-scores", "kernel_id": "10595665"}, {"ref": "daniel601/logistic-x-neural-networks-pytorch", "kernel_id": "10445936"}, {"ref": "forceyash/titanic-predictions", "kernel_id": "10770072"}, {"ref": "brandog/fastai-v1-dl-titanic-tabular-classification-model", "kernel_id": "10207740"}, {"ref": "kastyans/titanic-xgboost-0-82296", "kernel_id": "10336337"}, {"ref": "sanjitschouhan/titanic-machine-learning-from-disaster", "kernel_id": "10081082"}, {"ref": "essene/getting-started-with-titanic", "kernel_id": "10873501"}, {"ref": "ar90ngas/titanic-multi-files", "kernel_id": "10706523"}, {"ref": "hroatti/kaggle-titanic-howard", "kernel_id": "10801694"}, {"ref": "thomascharuel/titanic-getting-above-80-accuracy", "kernel_id": "10420264"}, {"ref": "mcooperr/titanic-predictions", "kernel_id": "10989057"}, {"ref": "matjes/ais-w06-ss20-pred-modeling-solutions-only", "kernel_id": "10201594"}, {"ref": "matjes/ais-w06-ss20-pred-modeling", "kernel_id": "10201349"}, {"ref": "drifter1973/titanic-survivor-prediction-machine-learning", "kernel_id": "10786604"}, {"ref": "ashashiju/titanic-solution", "kernel_id": "10181937"}, {"ref": "debjde6400/a-confused-beginner-s-take-in-titanic-dataset", "kernel_id": "10687794"}, {"ref": "scatteredflo/3-titanic-tutorial-for-study-200706", "kernel_id": "10510818"}, {"ref": "raghavbang/titanic-dataset-with-95-acc-using-dt", "kernel_id": "10724712"}, {"ref": "joey0201/titanic-challenge-basic-eda", "kernel_id": "10641156"}, {"ref": "rajaku29/getting-started-titanic-problem", "kernel_id": "10753335"}, {"ref": "tappeikawasaki/kernel414308ba65", "kernel_id": "10431001"}, {"ref": "joydeb28/ensemble-models", "kernel_id": "10746525"}, {"ref": "gunnep/titanic-predictions", "kernel_id": "10284741"}, {"ref": "hmatalonga/titanic-exploring-and-predicting-the-outcome", "kernel_id": "10840838"}, {"ref": "bhagyashreekc2019/titinaic-clustering-bhagyashree", "kernel_id": "10847344"}, {"ref": "deepak001/titanic-problem", "kernel_id": "10660671"}, {"ref": "israakhalil/titanic-competition", "kernel_id": "10518255"}, {"ref": "geoffreygeo/titanic-survival", "kernel_id": "10826549"}, {"ref": "piopat/titanic-exploratory-data-analysis-modelling", "kernel_id": "10087433"}, {"ref": "asemokby/eda-randomforest-precision-recall", "kernel_id": "10593587"}, {"ref": "mukultiwari/titanic-2", "kernel_id": "10753178"}, {"ref": "trilokigupta/titanic-survival-prediction", "kernel_id": "10372596"}, {"ref": "massyue/hands-on-vol7", "kernel_id": "10500469"}, {"ref": "shashwatwork/hello-world-with-titanic", "kernel_id": "10154320"}, {"ref": "specbug/titanic", "kernel_id": "10314966"}, {"ref": "ryuichi0704/tutorial", "kernel_id": "10320555"}, {"ref": "vthamil/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "10347816"}, {"ref": "sonawanenikita/getting-started-with-titanic", "kernel_id": "10938585"}, {"ref": "yashvi/practical-statistics-1-descriptive-statistics", "kernel_id": "10892528"}, {"ref": "shreyas16/titanic-tutorial-code", "kernel_id": "10320725"}, {"ref": "rivername/kernel3816696619", "kernel_id": "10322708"}, {"ref": "tanmoyie/how-to-learn-data-science-use-kaggle", "kernel_id": "10026516"}, {"ref": "ahmettezcantekin/pycaret-classification-regression-and-clustering", "kernel_id": "10916724"}, {"ref": "ahmettezcantekin/before-starting-modelling-pandas-profiling", "kernel_id": "10650949"}, {"ref": "natwar/titanic-machine-learning-from-disaster", "kernel_id": "10158109"}, {"ref": "fannynyc2015/titanic", "kernel_id": "10528887"}, {"ref": "kevin9000/titanic", "kernel_id": "10528466"}, {"ref": "kwaleed/titanic-competition", "kernel_id": "10797458"}, {"ref": "aslandreamteam/kernel1c8085fc73", "kernel_id": "10803480"}, {"ref": "dnik007/titanic-cfl", "kernel_id": "10742194"}, {"ref": "lohitha17/titanic-survival-prediction-using-knn-classifier", "kernel_id": "10381479"}, {"ref": "shravanraikar/titanic-disaster-prediction-linear-regression", "kernel_id": "10953365"}, {"ref": "abram6/crisp-dm-titanic", "kernel_id": "10058593"}, {"ref": "sishihara/pdpipe-on-titanic", "kernel_id": "10904584"}, {"ref": "sturrion/beginning-with-r-part-1", "kernel_id": "10813941"}, {"ref": "hocop1/3-approaches-to-hyperparameter-search-bayesian", "kernel_id": "10686836"}, {"ref": "enesyuzak/titanic-solution", "kernel_id": "10759872"}, {"ref": "neton03/titanic-problem-with-simple-neural-networks", "kernel_id": "10469179"}, {"ref": "srivignesh/an-introduction-to-pyspark-apache-spark-in-python", "kernel_id": "10697724"}, {"ref": "santoshbothe/logistic-regression", "kernel_id": "10787375"}, {"ref": "starkteja/titanic-survivor-predictions", "kernel_id": "10347640"}, {"ref": "jonpeters3/peters-titanic", "kernel_id": "10191470"}, {"ref": "premkamban/kernel14dd1e2425", "kernel_id": "10123106"}, {"ref": "anunnikrishnan/titanic-classifier", "kernel_id": "10624750"}, {"ref": "greenarrow2018/titanic-prediction", "kernel_id": "10998829"}, {"ref": "inshalkhan/titanic-analysis", "kernel_id": "10518391"}, {"ref": "ruchi11dec/titanic-survival", "kernel_id": "10771485"}, {"ref": "ankur123xyz/titanic-eda-feature-engineering-ensemble-top-5", "kernel_id": "10628396"}, {"ref": "adnanzaidi/pycaret-introduction-classification-regression", "kernel_id": "10506710"}, {"ref": "fabriciotorquato/hello-world-titanic", "kernel_id": "10209784"}, {"ref": "vbmokin/titanic-shortest-fastest-nb-with-score-0-803", "kernel_id": "10839756"}, {"ref": "vardaanbajaj/titanic-random-forest", "kernel_id": "10636746"}, {"ref": "vardaanbajaj/kernel6a7859f833", "kernel_id": "10202067"}, {"ref": "ankitmhjn5/titanic-logistic-regression-78-accuracy", "kernel_id": "10185248"}, {"ref": "afsar415/the-complete-guide-for-beginners", "kernel_id": "10833591"}, {"ref": "ramvarun/kernel48662bb433", "kernel_id": "10514058"}, {"ref": "glorythesky/kernel5633e69f16", "kernel_id": "10530983"}, {"ref": "chaitanyamadaka/titanic-tutorial", "kernel_id": "10698960"}, {"ref": "chaitanyamadaka/titanic-tutorial-practice-simple", "kernel_id": "10699202"}, {"ref": "yoshi679/practice-house", "kernel_id": "10004769"}, {"ref": "yoshi679/practice-restaurant-revenue", "kernel_id": "10051472"}, {"ref": "rahulbana/titanic-machine-learning-from-disaster-eda", "kernel_id": "10143326"}, {"ref": "rahulbana/titanic-machine-learning-from-disaster", "kernel_id": "10138362"}, {"ref": "jpmc216/titanic-first-kaggle-kernel", "kernel_id": "10759353"}, {"ref": "guidolino/teste-modelos-titanic", "kernel_id": "10951333"}, {"ref": "aditi81k/titanic-problem", "kernel_id": "10912154"}, {"ref": "fariha23/titanic-eda-multiple-classifications", "kernel_id": "10131272"}, {"ref": "amritvirsinghx/absolute-beginner-titanic-machine-learning", "kernel_id": "10999354"}, {"ref": "milan400/eda-in-titanic-and-student-performance-dataset", "kernel_id": "10130526"}, {"ref": "ravijoe/feature-scaling-and-normalization", "kernel_id": "10762517"}, {"ref": "apoorvyadav/titanic-disaster", "kernel_id": "10782342"}, {"ref": "raxford1/titanic-statistics-not-finished", "kernel_id": "10012828"}, {"ref": "pouyan9675/simple-titanic-kernel-with-fully-connected-network", "kernel_id": "10495402"}, {"ref": "fehmiatican/titanic-fehmi-eda", "kernel_id": "10961757"}, {"ref": "parth647/titanic-eda-logistic-regression-svc", "kernel_id": "10410194"}, {"ref": "rahulgarg28/kernel7537c67014", "kernel_id": "10270468"}, {"ref": "drkkgy/whitehat-1", "kernel_id": "10956923"}, {"ref": "gangakrish/machine-learning-survival-of-titanic-passengers", "kernel_id": "10792023"}, {"ref": "googlemkunthe/jack-vs-rose-the-titanic", "kernel_id": "10875112"}, {"ref": "lejoaoconte/modelo-1", "kernel_id": "10167886"}, {"ref": "mcamli/titanic-0-79425-top-12", "kernel_id": "10377816"}, {"ref": "lucy0712/titanic-who-could-survive", "kernel_id": "10839056"}, {"ref": "everlynasiko/titanic-prediction", "kernel_id": "10514202"}, {"ref": "jeevats/random-forest-xgboost-nn-classificaiton", "kernel_id": "10332252"}, {"ref": "michalduraj/xgb2sql-example", "kernel_id": "10031837"}, {"ref": "ersonucs/titanic-project", "kernel_id": "10894226"}, {"ref": "thaile1001/titanic", "kernel_id": "10339063"}, {"ref": "srikarthik/titanic-predictions-survived-or-deceased", "kernel_id": "10659607"}, {"ref": "mukutkhandelwal/randomforest-classifier-with-0-83-accuracy", "kernel_id": "10417480"}, {"ref": "shankarat/predict-and-submit-no-viz", "kernel_id": "10469222"}, {"ref": "birolemekli/top-model-gridsearch-for-randomforestclassifier", "kernel_id": "10435803"}, {"ref": "nithinnithi0903/titanicproject", "kernel_id": "10771173"}, {"ref": "bernarducs/titanic-dataset-predictions", "kernel_id": "10227300"}, {"ref": "samrat96/titanic-machine-learning", "kernel_id": "10862355"}, {"ref": "satishf889/titanic-machine-learning-from-disaster-simple-way", "kernel_id": "10561718"}, {"ref": "abtexp/jackrosetragedy-r", "kernel_id": "10551381"}, {"ref": "debapriyo007/my-first", "kernel_id": "10947539"}, {"ref": "spiderweb3009/getting-started-with-titanic", "kernel_id": "10157079"}, {"ref": "lifeline/titanic-survival-ds-svm-prediction", "kernel_id": "10119220"}, {"ref": "nikitadalela/be-in-top-10-submissions", "kernel_id": "10100138"}, {"ref": "nejel34/titanicprobe", "kernel_id": "10377505"}, {"ref": "anupamshah/titanic-challenge-quick-solution", "kernel_id": "10916057"}, {"ref": "camille004/titanic-eda-elementary-machine-learning-model", "kernel_id": "10263777"}, {"ref": "athiqahmed/titanic-survival-pycaret", "kernel_id": "10071674"}, {"ref": "giordan/titanic-survival-ensemble", "kernel_id": "10732313"}, {"ref": "ervinismu/second-titanic-disaster", "kernel_id": "10090934"}, {"ref": "mertfacts/titanic-disaster", "kernel_id": "10501873"}, {"ref": "akki2503/titanic-basic-logistic-regression", "kernel_id": "10771463"}, {"ref": "ijoydeepsil/kernel-1-titanic", "kernel_id": "10622272"}, {"ref": "vibeeshk/titanic-submission2-using-keras", "kernel_id": "10667359"}, {"ref": "vibeeshk/titanic-survivability-prediction", "kernel_id": "10274905"}, {"ref": "kamruzzamanselim/titanic-svm", "kernel_id": "10421009"}, {"ref": "kamruzzamanselim/titanic-logistic-regression", "kernel_id": "10437005"}, {"ref": "kamruzzamanselim/titanic-a-machine-learning-model", "kernel_id": "10275602"}, {"ref": "yashaswivunnava/titanic-getting-started", "kernel_id": "10341610"}, {"ref": "sagarsaheb/titanic-challenge", "kernel_id": "10644403"}, {"ref": "tientd95/pyspark-for-data-science", "kernel_id": "10836133"}, {"ref": "scleeza/titanic-xgboost-val-0-841-and-all-other-models", "kernel_id": "10872752"}, {"ref": "dionysios1981/titanic-2d", "kernel_id": "10968119"}, {"ref": "reviveer/simple-classification-for-beginners", "kernel_id": "10791244"}, {"ref": "miorgash/msdig-ml2", "kernel_id": "10209657"}, {"ref": "gsujan/titanic", "kernel_id": "10463910"}, {"ref": "ayhampar/classification-using-the-decision-tree-of-titanic", "kernel_id": "10179543"}, {"ref": "kvdatadragon/0-79425-an-ingenious-logistic-regression", "kernel_id": "10569409"}, {"ref": "hilalkck/titanic-data-analysis", "kernel_id": "10452165"}, {"ref": "wetrech/furkan-bugday-titanic-eda", "kernel_id": "10646259"}, {"ref": "meghanabandaru/titanic-data-analysis-prediction", "kernel_id": "10734898"}, {"ref": "tetra2000/titanic-with-linear-classifier", "kernel_id": "10853222"}, {"ref": "vijayreddy143/titanic-machine-learning", "kernel_id": "10265319"}, {"ref": "rmeoner/survivors-classification-on-titanic-using-r", "kernel_id": "10600003"}, {"ref": "daikiaomine1/titanic-94", "kernel_id": "10798894"}, {"ref": "sulesubas/titanic-eda", "kernel_id": "10379217"}, {"ref": "oooski/titanic-eda", "kernel_id": "10557997"}, {"ref": "dhr3ban/titanic-gradient-boosting", "kernel_id": "10246766"}, {"ref": "nayalaunda/titanic-survival-analysis-predictions-79-665", "kernel_id": "10728488"}, {"ref": "ykumargupta/ykumargupta-titanic", "kernel_id": "10384419"}, {"ref": "arushi04/prediction-of-survival-in-titanic-disaster", "kernel_id": "10347501"}, {"ref": "mileslucey/titanic-logistic-reg-decision-tree-random-forest", "kernel_id": "10860943"}, {"ref": "nakulsingh1289/catboost-with-randomized-search-on-titanic", "kernel_id": "10560267"}, {"ref": "tarundaram1/titanic-rfcmodel", "kernel_id": "10007221"}, {"ref": "bala1205/getting-started-with-titanic", "kernel_id": "10235713"}, {"ref": "vaibhavn23/titanic-disaster-ml", "kernel_id": "10343315"}, {"ref": "tanmay111999/titanic-submission-0-79904-using-knn", "kernel_id": "10598995"}, {"ref": "camlemessurier/level-0-predicting-survival-on-the-titanic", "kernel_id": "10875660"}, {"ref": "teelytran/eda-and-tuning-models", "kernel_id": "10855470"}, {"ref": "sharonkerketta/titanic-analysis-with-different-ml-models", "kernel_id": "10497692"}, {"ref": "trishna1/titanic-model1", "kernel_id": "10921778"}, {"ref": "raahull/kernelc56909131e", "kernel_id": "10550477"}, {"ref": "phoeniex/kernel69667e49bf", "kernel_id": "10102646"}, {"ref": "ajeet7891/titanic-machine-learning-problem", "kernel_id": "10789590"}, {"ref": "suprajakom/titanic", "kernel_id": "10952634"}, {"ref": "hatemalamir/titanic-eda-simple", "kernel_id": "10320504"}, {"ref": "niteshchaurasiya/simple-approach-for-top-9-solution", "kernel_id": "10010203"}, {"ref": "tejakiran1619/getting-started-with-kaggle", "kernel_id": "10899161"}, {"ref": "kmldas/titanic-eda-viz-for-beginners", "kernel_id": "10596500"}, {"ref": "mmreis1984/autogluon-tabular-for-titanic", "kernel_id": "10907158"}, {"ref": "daveaditya/getting-started-with-titanic-disaster", "kernel_id": "10247400"}, {"ref": "daveaditya/getting-started-with-titanic", "kernel_id": "10247364"}, {"ref": "kunaljani/titanic-macine-learning-disaster-prediction", "kernel_id": "10046761"}, {"ref": "sidvsukhi/titanic-challenge-solution", "kernel_id": "10844338"}, {"ref": "sk2062/titanic-machine-learning-from-disaster-beginner", "kernel_id": "10490034"}, {"ref": "sk2062/titanic-machine-learning-disaster-beginner", "kernel_id": "10278284"}, {"ref": "rex121/titanic", "kernel_id": "10981299"}, {"ref": "dshrishikesh/kernel559b101346", "kernel_id": "10289118"}, {"ref": "varunramesh1122/titanic-data-science-solutions", "kernel_id": "10771909"}, {"ref": "indronil2489/titanic-with-random-forest", "kernel_id": "10307807"}, {"ref": "noahsheldon/getting-started-with-titanic", "kernel_id": "10221064"}, {"ref": "shreenidhi23/basic-titanic-data-analysis", "kernel_id": "10851549"}, {"ref": "amudhan11/titanic-dataset", "kernel_id": "10378105"}, {"ref": "lorenzoquiambao/titanic-logistic-regression", "kernel_id": "10764817"}, {"ref": "agarwalsourabh55/titanic-machine-learning-from-disaster", "kernel_id": "10634580"}, {"ref": "parulkhare26/titanic-data-visualization", "kernel_id": "10334769"}, {"ref": "ristola/titanic", "kernel_id": "10052059"}, {"ref": "katarahul/my-first-kaggle-submission", "kernel_id": "10709091"}, {"ref": "dennisbakhuis/titanic-competition-feature-engineering-model", "kernel_id": "10017488"}, {"ref": "karlbehrens/titanic", "kernel_id": "10826777"}, {"ref": "sarmadriaz/titanic-machine-learning-disaster", "kernel_id": "10091794"}, {"ref": "gordotron85/titanic-random-forest-classification-top-4", "kernel_id": "10555527"}, {"ref": "renatodantas/titanic-linear-regression", "kernel_id": "10440470"}, {"ref": "tomsujithm/titanic-simple-logistic-regression", "kernel_id": "10258974"}, {"ref": "vigneshmenon1/titanic-data-kernel-svm-classifier", "kernel_id": "10263677"}, {"ref": "gaoxuxin/one-hot-encoding-with-5-different-models", "kernel_id": "10139183"}, {"ref": "sagarsetru/getting-started-with-titanic", "kernel_id": "10363518"}, {"ref": "shubhamksingh/titanic-the-ride", "kernel_id": "10080742"}, {"ref": "lhernand/titanic-competition", "kernel_id": "10579466"}, {"ref": "sowmyaiyer/titanic-survival-prediction-using-random-forest", "kernel_id": "10342603"}, {"ref": "alimirferdos/getting-started-with-titanic", "kernel_id": "10691764"}, {"ref": "naomilin96/titanic", "kernel_id": "10741232"}, {"ref": "muradm4/titanic-by-murad", "kernel_id": "10066382"}, {"ref": "rhuthuhegde/titanic-prob", "kernel_id": "10525464"}, {"ref": "sachin9921/titanic", "kernel_id": "10757148"}, {"ref": "claraljm/titanic-data-visualization", "kernel_id": "10100258"}, {"ref": "trinathmanda/tri-titanic-with-pycaret", "kernel_id": "10968523"}, {"ref": "hadiasami/kernel6f56754c4a", "kernel_id": "10537579"}, {"ref": "hadiasami/titanic-competition", "kernel_id": "10552378"}, {"ref": "bahadirad/preprocess-with-pipelines-model-comparison", "kernel_id": "10359175"}, {"ref": "nkrajash/navtitanicsurvivalml", "kernel_id": "10241267"}, {"ref": "sukanthen/automl-for-all-pycaret-and-tpot", "kernel_id": "10182814"}, {"ref": "holasharma/pipeline-logistic-regression-titanic", "kernel_id": "10274672"}, {"ref": "liyi54/titanic-survival-logistic-regression-model", "kernel_id": "10495385"}, {"ref": "liyi54/titanic-survival-dataset-preprocessor", "kernel_id": "10462734"}, {"ref": "yanaitti/various-classifier-machine-learning-for-beginners", "kernel_id": "10823304"}, {"ref": "mohed1224/titanic", "kernel_id": "10881603"}, {"ref": "takuji/practice-21-types-of-machine-learning", "kernel_id": "10131462"}, {"ref": "elseacl/titanic-lr", "kernel_id": "10110100"}, {"ref": "kezifice/titanic-kezif", "kernel_id": "10444787"}, {"ref": "fauzdar/titanic-survival-prediction-0-78-score", "kernel_id": "10639161"}, {"ref": "shikharghimire/titanic-dataset-82-accuracy-top-3-percent", "kernel_id": "10940759"}, {"ref": "aaarifladi/titanic-disaster", "kernel_id": "10500273"}, {"ref": "vn1gam/titanic-first-attempt", "kernel_id": "10665997"}, {"ref": "frankenstien/following-the-titanic-tutorial", "kernel_id": "10780260"}, {"ref": "mitanshikshatriya/logistic-regression-titanic", "kernel_id": "10865799"}, {"ref": "aashrut99/titanic-data-analysis", "kernel_id": "10234546"}, {"ref": "abhishekpundir/digits-recognizer", "kernel_id": "10131664"}, {"ref": "vermillionz/top-6-xgbclassifier-and-simple-eda", "kernel_id": "10228522"}, {"ref": "samlakhmani/titanic-beginner-friendly-visual-feature-select", "kernel_id": "10861112"}, {"ref": "awadhi123/easiest-way-for-eda-1-liner", "kernel_id": "10659209"}, {"ref": "natalia1312/feature-creation-and-prediction-using-r", "kernel_id": "10801515"}, {"ref": "nazmulkaonine/titanic-competition", "kernel_id": "10572111"}, {"ref": "parasharaditi/titanic-dataset-beginner", "kernel_id": "10347308"}, {"ref": "yohannwattiez/a-simple-guide-towards-ensembling-87-accuracy", "kernel_id": "10728972"}, {"ref": "swamy54/kaggle-titanic", "kernel_id": "10498586"}, {"ref": "harsha99b/titanic-survival-prediction", "kernel_id": "10430932"}, {"ref": "shivan118/perform-eda-in-minutes", "kernel_id": "10984252"}, {"ref": "kevinkkk08/kernel57aa0bb854", "kernel_id": "10303440"}, {"ref": "pkmisra/titanic-challenge-kaggle", "kernel_id": "10568974"}, {"ref": "jainmegha835/dealing-with-dates", "kernel_id": "10679690"}, {"ref": "bhargavmahesh25/titanic", "kernel_id": "10725960"}, {"ref": "manhitv/getting-started-with-titanic-competition", "kernel_id": "10449774"}, {"ref": "manhitv/titanic-competition-without-domain-knowledge", "kernel_id": "10663819"}, {"ref": "adulur/titanic-data-ensemble-ml-prediction", "kernel_id": "10941979"}, {"ref": "christophersalim/titanic-data-analysis-and-prediction", "kernel_id": "10739484"}, {"ref": "abdelwahed43/titanic-competition", "kernel_id": "10589612"}, {"ref": "suryateja473/titanic-logistic-regression-beginner-s-guide", "kernel_id": "10103689"}, {"ref": "kunjmehta/titanic-competition", "kernel_id": "10999930"}, {"ref": "nikhilt2305/titanic-dataset-for-beginners-top-12", "kernel_id": "10525083"}, {"ref": "alex478/titanic", "kernel_id": "10550521"}, {"ref": "cjshearer/kernel14de341345", "kernel_id": "10347939"}, {"ref": "udhhav/titanic", "kernel_id": "10284965"}, {"ref": "arnav8/titanic-challenge-randomforest", "kernel_id": "10013549"}, {"ref": "arnav8/titanic-challenge-using-knn", "kernel_id": "10028710"}, {"ref": "shahinvx/titanic-basic-ml-ann", "kernel_id": "10621861"}, {"ref": "sakshisaku3000/titanic-survival-prediction", "kernel_id": "10033106"}, {"ref": "mohitmaithani/easiest-kaggle-titanic-solution", "kernel_id": "10507115"}, {"ref": "aryankhatana/titanic-using-ann-keras", "kernel_id": "10658730"}, {"ref": "hari141993/titanic-survival-predictor", "kernel_id": "10653814"}, {"ref": "jasonleft/1810311204", "kernel_id": "10372165"}, {"ref": "truptisatsangi/titanic1", "kernel_id": "10759068"}, {"ref": "truptisatsangi/fork-of-lr-titanic", "kernel_id": "10561497"}, {"ref": "hs1592/adkkhn-krj-titanic", "kernel_id": "10882513"}, {"ref": "akshitachugh/fork-of-kernel7ff8f9816a", "kernel_id": "10111010"}, {"ref": "tamiila/titanic-competition", "kernel_id": "10741634"}, {"ref": "gaurav9712/getting-started-with-titanic-gaurav", "kernel_id": "10514489"}, {"ref": "nisasoylu/nisa-titanik-eda", "kernel_id": "10215900"}, {"ref": "shubrajain99/titanic-comp-for-beginners", "kernel_id": "10564751"}, {"ref": "shubrajain99/titanic-competn", "kernel_id": "10783585"}, {"ref": "mete6944/titanic-projects", "kernel_id": "10596273"}, {"ref": "ansh422/titanic-survival-how-to-start-working", "kernel_id": "10359417"}, {"ref": "alexanderklarge/feature-eng-functions-cross-val-gridsearch", "kernel_id": "10707758"}, {"ref": "deemocean/titanic-pytorch-nn-simplest-version", "kernel_id": "10217593"}, {"ref": "amanjakhetiya/titanic-survival-prediction-with-eda", "kernel_id": "10293535"}, {"ref": "alirezaazadbakht/ml-homework", "kernel_id": "10499792"}, {"ref": "secretmachine91/titanic-visualisation-analysis-ml", "kernel_id": "10155037"}, {"ref": "jemmygreen/titanic-prediction", "kernel_id": "10645897"}, {"ref": "maiaxxle/life-jacket-kernel", "kernel_id": "10763684"}, {"ref": "ziadtamer/data-cleaning-techniques", "kernel_id": "10919248"}, {"ref": "surenj/titanic", "kernel_id": "10702325"}, {"ref": "salmaneunus/titanic-start", "kernel_id": "10147960"}, {"ref": "edoardo10/titanic-dataset-competition-for-beginners", "kernel_id": "10523423"}, {"ref": "nikhilkmr300/titanic-detailed-eda-and-feature-engineering", "kernel_id": "10593135"}, {"ref": "amitrj/titanic-eda-ml", "kernel_id": "10029638"}, {"ref": "dasaritraa/titanic", "kernel_id": "10800474"}, {"ref": "aniket7/titanic-prediction-survival", "kernel_id": "10691383"}, {"ref": "mithunp/how2notoverfit", "kernel_id": "10638803"}, {"ref": "shaikmohammadmuzeeb/titanic", "kernel_id": "10222458"}, {"ref": "diasctiago/titanic-machine-learning-td", "kernel_id": "10198589"}, {"ref": "hemilshah/titanic", "kernel_id": "10634198"}, {"ref": "kagglepankaj/titanic-survival-prediction-xgboost-accuracy-80", "kernel_id": "10289744"}, {"ref": "mikhailg0/titanic-solution", "kernel_id": "10886131"}, {"ref": "ligtfeather/random-forest-with-grid-search", "kernel_id": "10914282"}, {"ref": "vladislavshikhta/my-first-ever-notebook-titanic-survival", "kernel_id": "10950511"}, {"ref": "naimur978/titanic-who-s-gonna-survive-public-score-81", "kernel_id": "10137006"}, {"ref": "aiueonoff/kernel78fc146316", "kernel_id": "10415853"}, {"ref": "moamenelsayed/titanic-survival-prediction-with-7-classifiers", "kernel_id": "10079787"}, {"ref": "euralli/journey-from-statistics-eda-to-prediction", "kernel_id": "10879471"}, {"ref": "vaishgajaraj/kernel50550964e2", "kernel_id": "10189688"}, {"ref": "egorix2000/titanic-lightgbm", "kernel_id": "10598271"}, {"ref": "statenheim/kernel4c61a908b2", "kernel_id": "10784647"}, {"ref": "md19sn/kernel726d228659", "kernel_id": "10215345"}, {"ref": "sbalan7/titanicdata", "kernel_id": "10661031"}, {"ref": "kayupe/titanic-solution-with-ann", "kernel_id": "10820028"}, {"ref": "vaishnavkapil/kapil-titanic", "kernel_id": "10136186"}, {"ref": "yangxinfan/decision-tree-random-forest-xgboost", "kernel_id": "10190251"}, {"ref": "muralidhar123/titanic-dataset-with-randomforest", "kernel_id": "10058259"}, {"ref": "alegend4u/titanic-pytorch", "kernel_id": "10916520"}, {"ref": "mandallaz/titanic", "kernel_id": "10598748"}, {"ref": "saniyaparveez/titanic-survival", "kernel_id": "10774430"}, {"ref": "nprajapati/titanic-simply-understand-all-ml-models-85-87", "kernel_id": "10773553"}, {"ref": "narayankudav/titanic-machine-learning-from-disaster", "kernel_id": "10491430"}, {"ref": "alephc/titanic-0-80-top-7-solution-using-tensorflow", "kernel_id": "10326775"}, {"ref": "jhalls/descriptive-analytics-and-eda-titanic", "kernel_id": "10175286"}, {"ref": "priths7/titanic-ml", "kernel_id": "10882408"}, {"ref": "thalesbruno/titanic-competition-top-18", "kernel_id": "10617515"}, {"ref": "vyaduvanshi/titanic-survivor-prediction", "kernel_id": "10971539"}, {"ref": "shafkatrahman/kernela6231937d9", "kernel_id": "10311166"}, {"ref": "aemmosa/titanic-survives", "kernel_id": "10099072"}, {"ref": "rohitroychowdhury0/kernel36239a5421", "kernel_id": "10612176"}, {"ref": "melihkanbay/dl-on-titanic-not-good", "kernel_id": "10495070"}, {"ref": "yunusctn/titanic-eda", "kernel_id": "10073634"}, {"ref": "captainklutz/titanicchallenge", "kernel_id": "10744631"}, {"ref": "mustisid/titanic-disaster-prediction-xgboost", "kernel_id": "10721706"}, {"ref": "bhavik1611/titanic-eda-and-model-selection", "kernel_id": "10782493"}, {"ref": "sjeongab/titanic-20210311", "kernel_id": "10193734"}, {"ref": "maridori524/kernel6920c15645", "kernel_id": "10236641"}, {"ref": "mabalogun/titanic-gridsearchcv-with-decisiontreeclassifier", "kernel_id": "10884814"}, {"ref": "mabalogun/titanic-randomforestclassifier-with-gridsearchcv", "kernel_id": "10968755"}, {"ref": "mabalogun/titanic-randomforest-with-gridsearchcv", "kernel_id": "10511563"}, {"ref": "mabalogun/my-titanic-entry", "kernel_id": "10463200"}, {"ref": "dogukanderici/titanic-eda-visualization", "kernel_id": "10867267"}, {"ref": "ajoshi73/titanic-eda-and-logistic-regression", "kernel_id": "10933051"}, {"ref": "cbuitragoh/titanic-summary", "kernel_id": "10730964"}, {"ref": "bburnet/titanic-predicting-survival", "kernel_id": "10349649"}, {"ref": "omarmohamed22/kernel510775b84c", "kernel_id": "10853915"}, {"ref": "akashadesai/eda-predicting-titanic-survivors-using-ml", "kernel_id": "10349065"}, {"ref": "sgaind2/titanic-eda-logistic-regression-svc", "kernel_id": "10962174"}, {"ref": "sirojkhuja/sirojkhuja-s-notebook", "kernel_id": "10947734"}, {"ref": "latka0911/first-titanic-dataset-coding-competition", "kernel_id": "10737598"}, {"ref": "gferger/titanic-kernal", "kernel_id": "10577002"}, {"ref": "reedemor/kernel6ab020974e", "kernel_id": "10416737"}, {"ref": "raj26000/titanic-survival-predictions-w-model-comparisons", "kernel_id": "10258396"}, {"ref": "akshit293/preprocessing", "kernel_id": "10706547"}, {"ref": "krishnakaushikreddy/titanic-comp", "kernel_id": "10733627"}, {"ref": "dheeraaj543/getting-started-with-titanic", "kernel_id": "10981637"}, {"ref": "joshijai2/titanic-sklearn-stacking-ensemble-classifier", "kernel_id": "10256019"}, {"ref": "nehaprabhavalkar/titanic-machine-learning-from-disaster", "kernel_id": "10306526"}, {"ref": "surajkum1198/titanicprediction", "kernel_id": "10023810"}, {"ref": "tanmayshukla/titanic-model-buildup", "kernel_id": "10608825"}, {"ref": "shazol/titanic-survival-classifier", "kernel_id": "10692935"}, {"ref": "bryansouza/tensorflow-nn", "kernel_id": "10845099"}, {"ref": "wagnersantana/titanic-kaggle-running-several-ml-models", "kernel_id": "10987856"}, {"ref": "qucdngnguyn/secondtrytitanic", "kernel_id": "10014354"}, {"ref": "vamsikurapati/titanic-predication", "kernel_id": "10798386"}, {"ref": "debiprasadmishra/titanic-data-survival-predictions", "kernel_id": "10545899"}, {"ref": "pmache/titanic-data-visualization-with-pandas", "kernel_id": "10614491"}, {"ref": "ozbakir/my-titanic-eda", "kernel_id": "10655722"}, {"ref": "anshulchaudhary/work-on-titanic-disaster", "kernel_id": "10289676"}, {"ref": "ghsagar/titanic-survival-with-feature-engineering", "kernel_id": "10124741"}, {"ref": "shivxlon/kernel3ba616eb79", "kernel_id": "10269883"}, {"ref": "youweizou/titanic-starter", "kernel_id": "10064623"}, {"ref": "sarimabbas/titanic-walkthrough", "kernel_id": "10945782"}, {"ref": "nakagawahironori/titanic-0-82-0-83", "kernel_id": "10773642"}, {"ref": "jamesdeleon/titanic-dataset-logisticregression", "kernel_id": "10147513"}, {"ref": "kasama877/upura-kaggle-tutorial-01-first-submission", "kernel_id": "10737993"}, {"ref": "momincks/lightgbm-for-titanic-data", "kernel_id": "10668901"}, {"ref": "carlmcbrideellis/data-anonymization-using-faker-titanic-example", "kernel_id": "10817366"}, {"ref": "carlmcbrideellis/titanic-view-missing-values-with-missingno", "kernel_id": "10552908"}, {"ref": "carlmcbrideellis/ensemble-methods-majority-voting-example", "kernel_id": "10491254"}, {"ref": "carlmcbrideellis/treeplot-see-your-classification-tree", "kernel_id": "10217518"}, {"ref": "carlmcbrideellis/gaussian-process-classification-sample-script", "kernel_id": "10267613"}, {"ref": "shahriarkasibsourav/titanic-disaster-notebook", "kernel_id": "10119880"}, {"ref": "maxmarra/getting-started-with-titanic", "kernel_id": "10558148"}, {"ref": "winnievorihilala/titanic", "kernel_id": "10411660"}, {"ref": "sivaprksh/titanic-eda-feature-engineering-logistic-reg", "kernel_id": "10641352"}, {"ref": "izemdemirci/titanic-machine-learning-from-disaster", "kernel_id": "10040852"}, {"ref": "ekng93/titanic-predict-survival-using-knn", "kernel_id": "10027707"}, {"ref": "kanikakhattar/titanic-feature-engineering-iterative-imputer", "kernel_id": "10150066"}, {"ref": "sammedkamate/titanic1", "kernel_id": "10557970"}, {"ref": "arpitbajpai771/titanic-randomforest", "kernel_id": "10378086"}, {"ref": "jenshansen/getting-started-with-titanic", "kernel_id": "10757188"}, {"ref": "yurychernyshov/titanic-test", "kernel_id": "10706439"}, {"ref": "yurychernyshov/simple-titanic-solution", "kernel_id": "10341498"}, {"ref": "tabriznuruyev/titanic", "kernel_id": "10900868"}, {"ref": "amejiasp/my-first-attempts-in-machine-learning", "kernel_id": "10532578"}, {"ref": "manalmarouaboucenna/titanic-prediction", "kernel_id": "10387166"}, {"ref": "juliaanddragons/titanic-my-first-trial", "kernel_id": "10267371"}, {"ref": "almadani/problem3-classification-model-3", "kernel_id": "10462514"}, {"ref": "swatirustagi/titanic-prediction", "kernel_id": "10559279"}, {"ref": "seungwoonlee/surviving-on-the-titanic", "kernel_id": "10734039"}, {"ref": "balajibc/titanic-models-comparison-eda-to-ml", "kernel_id": "10159324"}, {"ref": "tbwfqk/cheatsheet-text-helper-functions", "kernel_id": "10996841"}, {"ref": "yasinsulhan/titanic-eda", "kernel_id": "10996579"}, {"ref": "yacinerouizi/titanic-2", "kernel_id": "10442665"}, {"ref": "darshanjain29/titanic-solution-1-0-baseline-the-indian-developer", "kernel_id": "10121319"}, {"ref": "ahmedalghaliz/titanic-competition", "kernel_id": "10536577"}, {"ref": "fathialasali/titanic-comp", "kernel_id": "10553184"}, {"ref": "aman2457/titanic", "kernel_id": "10791046"}, {"ref": "vishalraibagi/eda-and-model-building-on-titanic-dataset", "kernel_id": "10377060"}, {"ref": "luizfernandogontijo/titanic-competition", "kernel_id": "10018353"}, {"ref": "emilyfrederick/titanic-competition-1st-notebook", "kernel_id": "10732073"}, {"ref": "jethroleeroy/first-kaggle-competition", "kernel_id": "10251441"}, {"ref": "mayurmhamunkar/titanic-competition", "kernel_id": "10696914"}, {"ref": "hamedetezadi/survived-or-deceased", "kernel_id": "10679865"}, {"ref": "zidanejain/titanic-simple-logistic-regression-model", "kernel_id": "10154133"}, {"ref": "saadmuhammad17/a-beginners-guide-to-data-science-top-3", "kernel_id": "10652695"}, {"ref": "tleonel/using-r-and-random-forest-titanic-prediction", "kernel_id": "10276145"}, {"ref": "rashasalim/titanic-pytorch-linear-models", "kernel_id": "10843677"}, {"ref": "aayushmishra1512/titanic-with-randomforest-classifier-80-score", "kernel_id": "10395231"}, {"ref": "rosenpunpun/my-first-attempt", "kernel_id": "10146262"}, {"ref": "gautam2202/titanic-eda-survival-prediction-with-most-ml-model", "kernel_id": "10845716"}, {"ref": "prasannavijayakumar/titanic-beginner", "kernel_id": "10918332"}, {"ref": "pranithchowdary/getting-started-with-titanic", "kernel_id": "10338007"}, {"ref": "mohitkundu1/who-survived-and-who-didn-t", "kernel_id": "10497776"}, {"ref": "aman2000jaiswal/titanic22-06-20", "kernel_id": "10275366"}, {"ref": "diogomoura/kernel589891d764", "kernel_id": "10405765"}, {"ref": "zebasheikh/my-first-kaggle-titanic", "kernel_id": "10999184"}, {"ref": "donevo1/mytitanic", "kernel_id": "10396878"}, {"ref": "mdmashurshalehin/titanic-data-eda", "kernel_id": "10882785"}, {"ref": "katehawkins/titanic-survival-model", "kernel_id": "10039877"}, {"ref": "dktalaicha/titanic-multiple-models", "kernel_id": "10902072"}, {"ref": "parameshamr/kernel6add69f74c", "kernel_id": "10047967"}, {"ref": "michaelracz/titanic-kaggle", "kernel_id": "10908608"}, {"ref": "renecernitz/titanic-prediction-ren-cernitz", "kernel_id": "10325484"}, {"ref": "karpagajanani/kernel300938af19", "kernel_id": "10774161"}, {"ref": "satyaphani/titanic-data-solutions", "kernel_id": "10448661"}, {"ref": "yagarwal1307/titanic-dataset-linear-ensemble-models", "kernel_id": "10137620"}, {"ref": "hirototakaoka/data-mininng-report", "kernel_id": "10766539"}, {"ref": "hirototakaoka/data-mininng-report-1", "kernel_id": "10812616"}, {"ref": "hirototakaoka/new-report", "kernel_id": "10823896"}, {"ref": "hirototakaoka/fork-of-kernel6b32aabe55", "kernel_id": "10502087"}, {"ref": "groovallstar/titanic-simple-ml-dl-with-sklearn-and-pytorch", "kernel_id": "10549186"}, {"ref": "groovallstar/analyis-for-titanic", "kernel_id": "10912321"}, {"ref": "erickwang/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "10604013"}, {"ref": "nareshbhat/85-accuracy-with-only-5-lines-of-code", "kernel_id": "10312059"}, {"ref": "nareshbhat/outlier-the-silent-killer", "kernel_id": "10533521"}, {"ref": "nareshbhat/eda-within-snap-of-fingers", "kernel_id": "10614316"}, {"ref": "nareshbhat/data-visualization-in-just-one-line-of-code", "kernel_id": "10626466"}, {"ref": "nareshbhat/starter-guide-to-build-nlp-ml-model-in-pycaret", "kernel_id": "10930879"}, {"ref": "linyuwang/house-price-eda-and-interpretable-ml", "kernel_id": "10350891"}, {"ref": "neeleshsinha38/kernel33793ae75d", "kernel_id": "10311424"}, {"ref": "sandeepsharma90/titanic-1", "kernel_id": "10770195"}, {"ref": "loremipsuma/titanic-eda", "kernel_id": "10969627"}, {"ref": "akashm103/titanic-dataset", "kernel_id": "10759150"}, {"ref": "himsim2726/titanic-survival", "kernel_id": "10973959"}, {"ref": "oliverkim/my-titanic", "kernel_id": "10436443"}, {"ref": "ksquare30/titanic-survival-prediction-survived-or-not", "kernel_id": "10433696"}, {"ref": "yukthiwick/titanic-machine-learning-competition", "kernel_id": "10045417"}, {"ref": "khushipathak/titanic-proper-submission", "kernel_id": "10120362"}, {"ref": "shivamchaurasia/getting-started-with-titanic-dataset", "kernel_id": "10672509"}, {"ref": "abdelrahmantarek22/titanic-machine-learning-from-disaster", "kernel_id": "10945121"}, {"ref": "gabrielshiu/beginner-titanic-feature-engineering-gscv-voting", "kernel_id": "10257425"}, {"ref": "alisharifi2000/titanic-survive", "kernel_id": "10775483"}, {"ref": "nikhilmishra21/titanic", "kernel_id": "10734364"}, {"ref": "frankmollard/interactive-eda", "kernel_id": "10773008"}, {"ref": "venkatramnan/differentclassificationmodelsfortitanic", "kernel_id": "10533064"}, {"ref": "priy998/titanicsurvival-machine-learning-model", "kernel_id": "10613590"}, {"ref": "drzhuzhe/titanic-classification-zztest", "kernel_id": "10431520"}, {"ref": "chinugupta/titanic-survival-prediction", "kernel_id": "10339783"}, {"ref": "allohvk/titanic-missing-age-imputation-tutorial-advanced", "kernel_id": "10230973"}, {"ref": "allohvk/titanic-simplest-tutorial-ever-code-as-a-story", "kernel_id": "10309537"}, {"ref": "allohvk/hyperparameter-tuning-a-simple-demonstration", "kernel_id": "10440805"}, {"ref": "allohvk/111-couples-on-the-titanic-a-recipe-for-disaster", "kernel_id": "10939010"}, {"ref": "yashrajjain726/titanic-dataset-eda-exploratory-data-analysis", "kernel_id": "10339811"}, {"ref": "shu3bham/kernel4bdf371340", "kernel_id": "10251916"}, {"ref": "archanghosh/titanic-deep-learning-trial", "kernel_id": "10815690"}, {"ref": "rajendraprasadk/kerneld8d4b781a8", "kernel_id": "10499460"}, {"ref": "meenakshijha/detailed-analysis-on-titanic-survival-predictions", "kernel_id": "10474006"}, {"ref": "sandeeptanguturu/titanic-data", "kernel_id": "10275543"}, {"ref": "tanishqbhatia/titanic-competition", "kernel_id": "10111684"}, {"ref": "ahmetburabua/titanic-competitions", "kernel_id": "10119721"}, {"ref": "swatirai/getting-started-with-titanic", "kernel_id": "10827915"}, {"ref": "sivakrishna3311/top-35-score-with-xg-boost-titanic-data-set", "kernel_id": "10901235"}, {"ref": "udita3996/titanic-eda-predictions", "kernel_id": "10570985"}, {"ref": "pashmeenkaur/titanic-1", "kernel_id": "10063202"}, {"ref": "abhishek6342/titanic-model", "kernel_id": "10496894"}, {"ref": "akhilkasare/titanic-survival-prediction-with-xgboost", "kernel_id": "10132702"}, {"ref": "job187/titanic-home-made-bernoulli-naive-bayes-classifier", "kernel_id": "10999474"}, {"ref": "muralidhars/titanic", "kernel_id": "10938579"}, {"ref": "shovikpoddar/titanic", "kernel_id": "10324840"}, {"ref": "pallaanuraagsharma/titanic-survival-classification", "kernel_id": "10755979"}, {"ref": "robertsoane/r-soane-titanic-attempt", "kernel_id": "10286027"}, {"ref": "abheeshthmishra/titanic-problem", "kernel_id": "10452140"}, {"ref": "kingamulik1996/getting-started-with-titanic", "kernel_id": "10351230"}, {"ref": "bodamahender/titanic-dataset-predictions", "kernel_id": "10155419"}, {"ref": "hisatsuneyosei/kernel302f778d7a", "kernel_id": "10981857"}, {"ref": "wasim641/kernel5331d8741c", "kernel_id": "10448432"}, {"ref": "nihalusman/kernel4782f81510", "kernel_id": "10437390"}, {"ref": "wilsonxie/how-to-survive-in-the-titanic", "kernel_id": "10169543"}, {"ref": "venkateshmurthy/titanic", "kernel_id": "10627988"}, {"ref": "hironoff/kernel2f0b003442", "kernel_id": "10535684"}, {"ref": "para24/survival-prediction-using-cost-sensitive-learning", "kernel_id": "10738317"}, {"ref": "sandeepr2111/titanic-dataset", "kernel_id": "10678673"}, {"ref": "devendrajoshi/kernel49a29e821c", "kernel_id": "10471940"}, {"ref": "kopanomonyobo/titanic-random-forest-grid-search", "kernel_id": "10312665"}, {"ref": "sk1812/titanic-ml-model", "kernel_id": "10950720"}, {"ref": "abhishekdhilpe/the-titanic-competition", "kernel_id": "10972086"}, {"ref": "shakka/dead-or-alive", "kernel_id": "10413938"}, {"ref": "entekang/titanic", "kernel_id": "10065662"}, {"ref": "samyakkala/titanic-disaster-analysis-and-prediction", "kernel_id": "10051000"}, {"ref": "kumarranjankamila/applied-machine-learning", "kernel_id": "10708575"}, {"ref": "jaiminp/titanic", "kernel_id": "10773426"}, {"ref": "nishiag26/classification-on-titanic-dataset", "kernel_id": "10719543"}, {"ref": "alocjr/titanic-classification", "kernel_id": "10225965"}, {"ref": "nadaboulares/kernel7dfe3ba450", "kernel_id": "10487273"}, {"ref": "rikuluostari/titanic-with-r-and-keras", "kernel_id": "10749841"}, {"ref": "itsdivya/titanic-predicting-the-survival", "kernel_id": "10901983"}, {"ref": "joaocampista/aplicando-data-science-no-caso-titanic", "kernel_id": "10885178"}, {"ref": "jinameliachoi/xgboost", "kernel_id": "10585354"}, {"ref": "jinameliachoi/tutorial-titanic-with-scikit-learn", "kernel_id": "10931339"}, {"ref": "ertugrulreis/titanic-ertugrul-eda", "kernel_id": "10566591"}, {"ref": "seyedmohsenalavi/prediction", "kernel_id": "10778572"}, {"ref": "seyedmohsenalavi/model-prediction", "kernel_id": "10868518"}, {"ref": "leelaprasadmoturi/titanic-first-nb", "kernel_id": "10303148"}, {"ref": "ektamanvar/get-started-with-pandas-in-10-mins", "kernel_id": "10003740"}, {"ref": "matsuyamatamotsu/kernel667068ba40", "kernel_id": "10050683"}, {"ref": "souravsamrat/titanic-survived", "kernel_id": "10484968"}, {"ref": "anuragupadhyay6212/titanic-prediction1", "kernel_id": "10664022"}, {"ref": "ahmdtolba/titanic-data-solution", "kernel_id": "10010619"}, {"ref": "raj713335/kernel9fe00ae4a6", "kernel_id": "10694885"}, {"ref": "projapotiroy/machine-learning-with-titanic-dataset", "kernel_id": "10476088"}, {"ref": "ashishgore/n-classifiers-titanic", "kernel_id": "10676137"}, {"ref": "viniciusbighetti/titanic-simple-attempt", "kernel_id": "10889852"}, {"ref": "tienlu/titanic-rf", "kernel_id": "10191805"}, {"ref": "umesh99/kernel620ed4656f", "kernel_id": "10113324"}, {"ref": "mohammadtraboulsi/titanic-survival-prediction", "kernel_id": "10723356"}, {"ref": "aycancal/titanic", "kernel_id": "10921844"}, {"ref": "aycancal/getting-started-with-titanic", "kernel_id": "10474639"}, {"ref": "yuyuco777/titanic-kdl-gbm", "kernel_id": "10961852"}, {"ref": "tinaro/machine-learning-titanic", "kernel_id": "10934906"}, {"ref": "gaurav2022/survival-chance", "kernel_id": "10563329"}, {"ref": "christopherbelow/1-datascience-learning", "kernel_id": "10376851"}, {"ref": "ajaypyatha/titanic-competing1", "kernel_id": "10139145"}, {"ref": "abhinavbanisetti/titanic-logistic-regression", "kernel_id": "10554946"}, {"ref": "zeeniye/titanic-classification", "kernel_id": "10262380"}, {"ref": "vivekpisal/titanic-basic-solution-using-adaboost", "kernel_id": "10923825"}, {"ref": "revanth666/titanic-prediction", "kernel_id": "10642990"}, {"ref": "vladmarascu/machine-learning-from-titanic-disaster-77", "kernel_id": "10970934"}, {"ref": "nouamaneelgueddari/titanic-dataset", "kernel_id": "10758006"}, {"ref": "mehrdadnaderi/titanicml", "kernel_id": "10095089"}, {"ref": "shrinathkeni/journey-through-titanic", "kernel_id": "10571829"}, {"ref": "iamsvp/titanic-with-ensemble-and-or-pipeline-making", "kernel_id": "10809543"}, {"ref": "kelvykellysson/gettint-started-with-titanic", "kernel_id": "10550424"}, {"ref": "lobodemonte/titanic-who-d-survive", "kernel_id": "10973151"}, {"ref": "pariaagharabi/titanic-survival-scaling-tuning-stacking", "kernel_id": "10831833"}, {"ref": "jefflau/getting-started-with-titanic", "kernel_id": "10871143"}, {"ref": "jefflau/fork-of-getting-started-with-titanic", "kernel_id": "10973463"}, {"ref": "mochfadilr/kernel7962bea792", "kernel_id": "10815135"}, {"ref": "atanuchowdhury/titanic", "kernel_id": "10059460"}, {"ref": "nidhaypancholi/titanic-data-visualizations-and-accuracy-0-784", "kernel_id": "10004253"}, {"ref": "shubhamk101/titanic-data-analysis-shubham101", "kernel_id": "10222125"}, {"ref": "yesamggyum/titanic-data-science-solutions", "kernel_id": "10531391"}, {"ref": "jaiganeshnagidi/new-approach-to-titanic", "kernel_id": "10968136"}, {"ref": "miguelquiceno/titanic-eda", "kernel_id": "10977627"}, {"ref": "winter9182/titanic-dataset-feature-engineering", "kernel_id": "10345958"}, {"ref": "rohitkanithi/titanic-survival-prediction", "kernel_id": "10081242"}, {"ref": "tomkillin2/titanic-random-forest-with-feature-selection", "kernel_id": "10090506"}, {"ref": "zgh19971022/logisticregression-titanic", "kernel_id": "10696610"}, {"ref": "dhananjay0508/titanic-using-naive-bayes-0-91", "kernel_id": "10906600"}, {"ref": "anishadmello/titanic-project", "kernel_id": "10575004"}, {"ref": "samruddhapatil/titanic1", "kernel_id": "10662518"}, {"ref": "shivanandjadhav/kernel170969bb51", "kernel_id": "10291517"}, {"ref": "ritikpnayak/titanic-tutorial-for-beginners", "kernel_id": "10977340"}, {"ref": "yasshramchandani/getting-started-with-titanic", "kernel_id": "10837680"}, {"ref": "ojaswiawasthi/titanic-datatset-submission-logistic-regression", "kernel_id": "10346352"}, {"ref": "losspost/titanic-with-deeplearning", "kernel_id": "10593726"}, {"ref": "shauryajain/kernel30c6a5a34c", "kernel_id": "10242280"}, {"ref": "namansood/exploratory-data-analysis-of-the-titanic-dataset", "kernel_id": "10302379"}, {"ref": "rajsinxh/my-first-submission", "kernel_id": "10446401"}, {"ref": "ishikaverma/titanic-ivy", "kernel_id": "10788521"}, {"ref": "samuelwy/machine-learning", "kernel_id": "10033544"}, {"ref": "noele123/titanic-machine-learning-submission-notes", "kernel_id": "10694604"}, {"ref": "priyankacharya/titanic-eigth-attempt", "kernel_id": "10574603"}, {"ref": "rawanreda/titanic-dataset-full-tutorial", "kernel_id": "10486854"}, {"ref": "rawanreda/feature-selection-techniques-tutorial", "kernel_id": "10187496"}, {"ref": "wariymberfloresdueas/my-journey-to-top-2-eda-with-several-approaches", "kernel_id": "10408352"}, {"ref": "skurumi/kernel684af0e7a0", "kernel_id": "10174293"}, {"ref": "mohamedtaouil/kernel4956fda673", "kernel_id": "10771875"}, {"ref": "doaaalsenani/predict-chance-of-survival-titanic", "kernel_id": "10491844"}, {"ref": "yashbansal1099/titanic", "kernel_id": "10905291"}, {"ref": "haeuni/titanic-competition-2015311319-haeunkim", "kernel_id": "10154869"}, {"ref": "jhossain/titanic-survival-analysis", "kernel_id": "10451322"}, {"ref": "sumittak/titanic-prediction-in-top-9", "kernel_id": "10632415"}, {"ref": "chen2222/titanic-beginner-guidance-to-category-encoder", "kernel_id": "10927115"}, {"ref": "chen2222/understand-boosting", "kernel_id": "10938203"}, {"ref": "prathamtripathi/decision-tree", "kernel_id": "10685723"}, {"ref": "aarjavkumarjain/titanic-survival-0-8044692", "kernel_id": "10492861"}, {"ref": "makhloufsabir/titanic-survived-classification", "kernel_id": "10691229"}, {"ref": "iamandrewliao/titanic", "kernel_id": "10906192"}, {"ref": "viniciusoliveira98/would-my-girlfriend-and-i-survive-the-titanic", "kernel_id": "10476938"}, {"ref": "mohammednasri/titanic-start-with-ml", "kernel_id": "10265960"}, {"ref": "varungggg/titanic-data-science-approach", "kernel_id": "10753769"}, {"ref": "siddhigawande/titanic-data", "kernel_id": "10860885"}, {"ref": "mayurgupta47/titanic-passenger-urvival-prediction", "kernel_id": "10661930"}, {"ref": "alexeyafanasiev/titanic-knn-on-t-sne-0-808-score-also-some-trees", "kernel_id": "10311450"}, {"ref": "berkaykulak/berkaykulak-titanik-eda", "kernel_id": "10832594"}, {"ref": "tugrulkardas/titanictgrlkrds", "kernel_id": "10333922"}, {"ref": "arindambaruah/titanic-survival-predictions-using-rfc-xgb-lgbm", "kernel_id": "10217204"}, {"ref": "dhiiyaur/titanic-prediction-auto-models-optuna-eda", "kernel_id": "10910254"}, {"ref": "rolandmskhvilidze/titanic-survival-competition", "kernel_id": "10610131"}, {"ref": "alparslantimuintamer/titanic-eda", "kernel_id": "10729822"}, {"ref": "garlygarajayew/t-tan-c-00", "kernel_id": "10255057"}, {"ref": "hxhwhitebeard/titanic-startup", "kernel_id": "10665970"}, {"ref": "jamescadman/simple-random-forest-80-85-accuracy", "kernel_id": "10306502"}, {"ref": "vikasbhadoria/titanic-dataset-visualization-prediction", "kernel_id": "10185843"}, {"ref": "dmkravtsov/4-1-titanic-with-acc-91-and-f1-87", "kernel_id": "10924302"}, {"ref": "sperez26/titanic-predicting-survivability-beginner", "kernel_id": "10145225"}, {"ref": "nimishtufchi/kernel3a578aa494", "kernel_id": "10078708"}, {"ref": "mkalandar77/titanic-survival-classification", "kernel_id": "10442878"}, {"ref": "zackcodesai/titanic-notebook", "kernel_id": "10480705"}, {"ref": "zahraalidadi/titanic-passenger-survival-by-logestic-regression", "kernel_id": "10959413"}, {"ref": "praneshmukhopadhyay/a-step-by-step-approach-to-the-max-voting", "kernel_id": "10120597"}, {"ref": "ayaneh/reduce-memory", "kernel_id": "10430639"}, {"ref": "kumarkanishka/kernel2ba8305329", "kernel_id": "10747436"}, {"ref": "johnabounassar/titanic-eda-preprocess-feat-eng-modelling", "kernel_id": "10100039"}, {"ref": "abdullahalkakandilli/titanic-project-eda", "kernel_id": "10633663"}, {"ref": "akylson/titanic-survivors-by-akylson", "kernel_id": "10830880"}, {"ref": "rahulkusuma99/titanic-with-fastai-top-10-without-much-effort", "kernel_id": "10008171"}, {"ref": "hunzalashakeel1105/titanic-feature-engineering", "kernel_id": "10806628"}, {"ref": "harshvardhananand/titanic", "kernel_id": "10785592"}, {"ref": "pranavmittal88/titanic", "kernel_id": "10735473"}, {"ref": "ahmetekiz/titanic-eda", "kernel_id": "10868667"}, {"ref": "sourinroy/titanic-disaster-with-keras", "kernel_id": "10776466"}, {"ref": "vishalvanpariya/eda-titanic", "kernel_id": "10349259"}, {"ref": "rizbaltazar/titanic-survivor-predictions", "kernel_id": "10022452"}, {"ref": "joyeee/titanic-korean", "kernel_id": "10128404"}, {"ref": "junooolee/titanic-perceptrons", "kernel_id": "10128187"}, {"ref": "ayeongjeong/titanic-dl-analysis", "kernel_id": "10132799"}, {"ref": "bryanlambo/titanic-models-selection", "kernel_id": "10660138"}, {"ref": "edvardcarlsson/titanic-beginners-guide", "kernel_id": "10044156"}, {"ref": "jefftav/titanic-first-machine-learning-project-0-794", "kernel_id": "10855337"}, {"ref": "keletsomaleka/titanic-eda-wrangling-imputation", "kernel_id": "10277224"}, {"ref": "keletsomaleka/titanic-random-forest-grid-search", "kernel_id": "10323223"}, {"ref": "johnnygetachew/titanic-ml-submission-1", "kernel_id": "10013183"}, {"ref": "italomarcelo/mytitanic-by-italo-costa", "kernel_id": "10564647"}, {"ref": "christianwoods/getting-started-with-titanic", "kernel_id": "10804798"}, {"ref": "hongjinwon/predict-survival-using-rf-beginner", "kernel_id": "10570081"}, {"ref": "nasiha/titanic-solution-using-decision-trees", "kernel_id": "10560505"}, {"ref": "rkrohk/titanic", "kernel_id": "10740761"}, {"ref": "onursercanyilmaz/udemy-course-titanic-eda", "kernel_id": "10609305"}, {"ref": "foreveryang/titanic-magic-featuer", "kernel_id": "10191526"}, {"ref": "priscilatamang/2-in-1-kaggle-titanic", "kernel_id": "10165519"}, {"ref": "maxmar/simple-models-to-top", "kernel_id": "10461849"}, {"ref": "andersonmatias/geting-started-the-titanic-challenge", "kernel_id": "10126665"}, {"ref": "sadmanaraf/getting-started-with-titanic-dataset", "kernel_id": "10104643"}, {"ref": "kkomalsingh/titanic-basic-solution-with-logistic-regression", "kernel_id": "10724807"}, {"ref": "sachinsharma1123/kernel482d655a6a", "kernel_id": "10543108"}, {"ref": "sachinsharma1123/kernel121e08e347", "kernel_id": "10772100"}, {"ref": "aseelalshorafa/titanic-modeling", "kernel_id": "10537096"}, {"ref": "sakeththupurani/prediction-with-78-947-accuracy", "kernel_id": "10283545"}, {"ref": "katerynarodina/survival-on-titanic", "kernel_id": "10958656"}, {"ref": "rashidulhasanhridoy/titanic-notebook-for-beginner", "kernel_id": "10362298"}, {"ref": "ibrahimkiziloklu/estml", "kernel_id": "10895911"}, {"ref": "pramyashri/titanic-challenge", "kernel_id": "10233387"}, {"ref": "adriangarciab/kernel156e91485f", "kernel_id": "10149390"}, {"ref": "abhaporwal/titanic", "kernel_id": "10235634"}, {"ref": "nhuingh/titanic-data-analysis", "kernel_id": "10143336"}, {"ref": "mushfiqurrobin/beginning-with-titanic", "kernel_id": "10008275"}, {"ref": "shivamgaur10/shivam-terrabluext", "kernel_id": "10668718"}, {"ref": "biswajitsarangi/getting-started-with-ml-titanic", "kernel_id": "10263757"}, {"ref": "sofrkaggle/kernel2fed8c0429", "kernel_id": "10357177"}, {"ref": "harshkothari21/plotting-in-python-learn-steps-by-steps", "kernel_id": "10085625"}, {"ref": "harshkothari21/beginners-notebook-90-accuracy-with-eda", "kernel_id": "10116646"}, {"ref": "harshkothari21/100-accurate-results-with-eda-all-ml-models", "kernel_id": "10280103"}, {"ref": "atilaysamiloglu/dataiteam-titanic-eda", "kernel_id": "10619316"}, {"ref": "christianlillelund/titanic-svc-with-selectkbest-80", "kernel_id": "10224876"}, {"ref": "christianlillelund/titanic-using-gridsearchcv-10-classifiers", "kernel_id": "10042796"}, {"ref": "satishgunjal/tutorial-k-fold-cross-validation", "kernel_id": "10648796"}, {"ref": "satishgunjal/tutorial-hyperparameter-tuning", "kernel_id": "10735313"}, {"ref": "kwingnamng/titanic-kwing", "kernel_id": "10956589"}, {"ref": "railotrailot/titanic-with-ann", "kernel_id": "10396409"}, {"ref": "kalpanaregmi/titanic-my", "kernel_id": "10820148"}, {"ref": "mizujou/explore-the-titanic-dataset-by-mizujou", "kernel_id": "10764687"}, {"ref": "harshsdw/interactive-training-of-random-forest-top-8", "kernel_id": "10828575"}, {"ref": "harshsdw/xgboost-for-titanic-dataset", "kernel_id": "10818106"}, {"ref": "shaijudatascience/titanic-survival-classification", "kernel_id": "10762248"}, {"ref": "ajitrajput/titanic-survivors-predictions-using-gridsearch", "kernel_id": "10333374"}, {"ref": "palashiitk/titanic-prediction-using-svc", "kernel_id": "10257894"}, {"ref": "sakshivats/naive-bayes-model-predictions-on-titantic-dataset", "kernel_id": "10051957"}, {"ref": "mirmahathirmohammad/kaggle-titanic", "kernel_id": "10526302"}, {"ref": "anuragbantu/stacking-ensemble-learning-beginner-s-guide", "kernel_id": "10950809"}, {"ref": "hithasudhish/titanic-survival-prediction", "kernel_id": "10894563"}, {"ref": "arindamandypal/titanic-tutorial-submission", "kernel_id": "10768679"}, {"ref": "mohtashimnawaz/simplesttitanic-test-accuracy-85", "kernel_id": "10100177"}, {"ref": "mohtashimnawaz/easy-peasy-pandas-with-jokes", "kernel_id": "10206252"}, {"ref": "mohtashimnawaz/knnimputer-voting-and-stacking-classifiers", "kernel_id": "10762558"}, {"ref": "mohtashimnawaz/types-of-data-statistics-and-proximity-measures", "kernel_id": "10877824"}, {"ref": "prathitshivade/titanic-survival-predictor", "kernel_id": "10055049"}, {"ref": "ryugakonno/kadai", "kernel_id": "10447219"}, {"ref": "melodypereira/titanic-analysis-eda", "kernel_id": "10929253"}, {"ref": "yatok36789/cheatsheet-date-helpers", "kernel_id": "10779411"}, {"ref": "moneybhai/titanic-money-bhai", "kernel_id": "10217668"}, {"ref": "vadimsokolov/titanic-ensemble-models", "kernel_id": "10330948"}, {"ref": "anggidwifiani/memes-describes-and-ml-predicts-from-disaster", "kernel_id": "10102835"}, {"ref": "manojmanumon/titanic-dataset-advanced-solution", "kernel_id": "10220531"}, {"ref": "sanchitvj/titanic", "kernel_id": "10161774"}, {"ref": "narcisse191/beginners-notebook-90-accuracy-with-eda", "kernel_id": "10924129"}, {"ref": "razamh/titanic-passenger-survival-analysis", "kernel_id": "10012529"}, {"ref": "oludeleadeleke/titanic-bobdee", "kernel_id": "10003507"}, {"ref": "achyutadhikari/titanic-dataset-machine-learning", "kernel_id": "10154627"}, {"ref": "maksimbahdanchyk/titanic-asking-for-suggestions-0-79425-limit", "kernel_id": "10164294"}, {"ref": "alinasir1596/titanic-disaster", "kernel_id": "10829731"}, {"ref": "chintanrabadiya/titenic", "kernel_id": "10122291"}, {"ref": "gusjohnson/kernelthefirst", "kernel_id": "10310186"}, {"ref": "philasandepakkies/titanic-eda-wrangling-imputation", "kernel_id": "10882266"}, {"ref": "philasandepakkies/titanic-random-forest-grid-search", "kernel_id": "10882348"}, {"ref": "apurvasharma866/titanic", "kernel_id": "10193964"}, {"ref": "balasuryam/titanic", "kernel_id": "10745793"}, {"ref": "lipikaanand/getting-started-with-titanic-lipika", "kernel_id": "10774844"}, {"ref": "yusukearai/titanic-ensemble-practice-0-80", "kernel_id": "10034012"}, {"ref": "rishabhjain97/getting-started-with-titanic", "kernel_id": "10401761"}, {"ref": "mariobarbosa777/titanic-model-and-prediction-0-80861", "kernel_id": "10551162"}, {"ref": "pinakimishrads/titanic-challenge-complete-for-beginners", "kernel_id": "10897933"}, {"ref": "nirmalya8/titanicdatasetproblem", "kernel_id": "10299918"}, {"ref": "nirmalya8/nirmatitanic", "kernel_id": "10766074"}, {"ref": "amarp69/titanic-dataset-random-forest-classifier", "kernel_id": "10099340"}, {"ref": "teramera/kernel47022e5553", "kernel_id": "10719316"}, {"ref": "gaurav1498/titanic-dataset-beginner-approach", "kernel_id": "10659452"}, {"ref": "ahmedmagdii/my-first-kaggle-competitions-titanic", "kernel_id": "10259615"}, {"ref": "deepikasaini2001/predicting-titanic-survival-rate", "kernel_id": "10606983"}, {"ref": "deepikasaini2001/classification-models-for-titanic", "kernel_id": "10736831"}, {"ref": "deepikasaini2001/a-comparative-analysis-on-linear-models", "kernel_id": "10789880"}, {"ref": "kenyaa/light-gbm", "kernel_id": "10200513"}, {"ref": "leelakrishnav/titanic-passenger-survival-prediction", "kernel_id": "10220291"}, {"ref": "psvkushal/titanic-notebook", "kernel_id": "10027318"}, {"ref": "friskycodeur/titanic-survival-prediction-the-beginner-s-way", "kernel_id": "10389995"}, {"ref": "lakshaymiddha/titanic-not-everyone-sinks", "kernel_id": "10824609"}, {"ref": "janelsmb/titanic-machine-learning-from-disaster", "kernel_id": "10215931"}, {"ref": "aimgawd/titanic", "kernel_id": "10872117"}, {"ref": "himanshu2603/kernel4c3a200927", "kernel_id": "10111874"}, {"ref": "mariyajojy/kernel1fdcc2e36c", "kernel_id": "10112104"}, {"ref": "yuvakaevroman/base-decision-for-university-practice", "kernel_id": "10730771"}, {"ref": "enessasmaz/data-visualization-with-titanic", "kernel_id": "10689709"}, {"ref": "christianvadillo/my-first-kernel-ml-pytorch", "kernel_id": "10045668"}, {"ref": "pauliuskomskis/titanic-model-xgboost-less-is-more", "kernel_id": "10148744"}, {"ref": "pauliuskomskis/titanic-model-xgboost-vs-catboost-less-is-more", "kernel_id": "10190176"}, {"ref": "dirkheads/zion-s-titanic-data-attempt", "kernel_id": "10944001"}, {"ref": "yhirakawa/how-to-use-randomforest-xgboost-lightgbm-catboost", "kernel_id": "10776164"}, {"ref": "marycoe/the-titanic-dataset", "kernel_id": "10436131"}, {"ref": "danielcabral/titanic-challenge", "kernel_id": "10026254"}, {"ref": "evils007/guide-for-titanic-machine-learning-from-disaster", "kernel_id": "10433650"}, {"ref": "nikhilramlukan/top-2-titanic-solution", "kernel_id": "10349983"}, {"ref": "fespejo/getting-started-with-titanic", "kernel_id": "10799277"}, {"ref": "resetstamp/titanic5", "kernel_id": "10678431"}, {"ref": "kudohinata/kernel65a1152529", "kernel_id": "10428642"}, {"ref": "syphax93/interactive-visualization-modelling-0-803-top7", "kernel_id": "10376325"}, {"ref": "santoshmagar/titanic-ml", "kernel_id": "10935016"}, {"ref": "rishikeshkulkarni/titanic-analysis-with-r", "kernel_id": "10686435"}, {"ref": "rushalichakraborty/kernel3d6f524521", "kernel_id": "10151943"}, {"ref": "godwinmadho/getting-started-with-titanic-in-progress", "kernel_id": "10274875"}, {"ref": "cdriclebocq/comp-tition-titanic-french-inside", "kernel_id": "10920449"}, {"ref": "tonibp/titanic-by-tbp", "kernel_id": "10931611"}, {"ref": "ntaira/kadai5-7", "kernel_id": "10550067"}, {"ref": "nafemuhtasim/applied-machine-learning", "kernel_id": "10326445"}, {"ref": "manishshah120/titanic-kaggle-competition", "kernel_id": "10399705"}, {"ref": "akushe08/titanic-notebook", "kernel_id": "10969613"}, {"ref": "roodrakanwar/competition-titanic-dataset", "kernel_id": "10773116"}, {"ref": "andrewhbell/titanic-july2020-randomforest-79", "kernel_id": "10594930"}, {"ref": "petrenkosv/getting-started-with-titanic", "kernel_id": "10377837"}, {"ref": "mariamammar/getting-started-with-titanic-3", "kernel_id": "10603879"}, {"ref": "rajeevtyagi/titanic-model-buliding-with-logisticregression", "kernel_id": "10505760"}, {"ref": "riketagoel/titanic-riketa", "kernel_id": "10521477"}, {"ref": "coderumba/titanic-machine-learning-from-disaster", "kernel_id": "10907265"}, {"ref": "mohamedjafirashraf/titanic-survival-prediction-using-decision-tree", "kernel_id": "10464985"}, {"ref": "rajgandhi98/titanicml1", "kernel_id": "10206531"}, {"ref": "matthewwilson1983/modern-fast-sklearn-pipeline-titanic-example", "kernel_id": "10045762"}, {"ref": "aymannasser/getting-started-with-titanic", "kernel_id": "10518588"}, {"ref": "akzeeb/low-code-ml-solution-to-titanic-pycaret", "kernel_id": "10225294"}, {"ref": "aronighosh/titanic-first-notebook", "kernel_id": "10394246"}, {"ref": "anandbar/titanic-exercise", "kernel_id": "10238979"}, {"ref": "hhermanoss/titanic-kaggle-tutorial", "kernel_id": "10188151"}, {"ref": "christiananne/titanic-competition-1st-try-with-random-forest", "kernel_id": "10601816"}, {"ref": "apadhikari/titanic-survivor-prediction", "kernel_id": "10918963"}, {"ref": "funguy/titanic-advanced-feature-engineering-tutorial", "kernel_id": "10902234"}, {"ref": "shivkp/titanic-problem", "kernel_id": "10442170"}, {"ref": "lawrencetjatjie/titanic-eda-wrangling-imputation", "kernel_id": "10308797"}, {"ref": "niveshpant/titanic-exploration-and-survival-prediction", "kernel_id": "10411630"}, {"ref": "cahidarda/titanic-dataset", "kernel_id": "10414314"}, {"ref": "kulchorobeknazarov/titanic", "kernel_id": "10420354"}, {"ref": "pinkydimakatsomaredi/titanic-eda-wrangling-imputation", "kernel_id": "10401653"}, {"ref": "lucysusannaiyah/titanic-competition", "kernel_id": "10612924"}, {"ref": "lucasvalle/getting-started-with-titanic", "kernel_id": "10520107"}, {"ref": "ivanzayarsky/titanic-nb", "kernel_id": "10819591"}, {"ref": "landfallmotto/titanic-eda-model-selection-feature-importance", "kernel_id": "10214878"}, {"ref": "ravigoyal097/kernel724d35a07c", "kernel_id": "10328784"}, {"ref": "jayantmathur/titanic-life-prediction", "kernel_id": "10212290"}, {"ref": "triqng/top-4-with-feature-engineering-and-xgboost", "kernel_id": "10320421"}, {"ref": "dorauierp1/titanic-case", "kernel_id": "10650607"}, {"ref": "takaomikadokura7069/hands-on-vol1", "kernel_id": "10026503"}, {"ref": "takaomikadokura7069/hands-on-vol1-drill", "kernel_id": "10927880"}, {"ref": "vidusheesingh/kernel797a25736a", "kernel_id": "10742465"}, {"ref": "abhishekvaid19968/data-visualization-using-matplotlib-seaborn-plotly", "kernel_id": "10167956"}, {"ref": "santoshgouda77/titanic-basic-solution-with-logistic-regression", "kernel_id": "10806999"}, {"ref": "kenzo001/simple-ml-titanic-survival", "kernel_id": "10226051"}, {"ref": "gorkemb355/titanik", "kernel_id": "10101696"}, {"ref": "angelinamarkina/basic-solution", "kernel_id": "10740172"}, {"ref": "harshsinha1234/first-kaggle-submission-titanic", "kernel_id": "10827753"}, {"ref": "ashwinprasad/titanic-dataset-80-accuracy", "kernel_id": "10904643"}, {"ref": "shivam316/titanic-workflow-for-biggners", "kernel_id": "10933267"}, {"ref": "poojaravi01/titanic-survival-predictions", "kernel_id": "10451534"}, {"ref": "sanketshrikantpatil/kernel4a20f76039", "kernel_id": "10594895"}, {"ref": "alexprieto/kernel-titanic", "kernel_id": "10775144"}, {"ref": "shivanshuagnihotri/data-exploration-and-visualization-tutorial", "kernel_id": "10524824"}, {"ref": "databro/titanic", "kernel_id": "10161829"}, {"ref": "adityaaggarwal09/data-visualisation-and-model-prediction", "kernel_id": "10043224"}, {"ref": "theboioftroi/kernel2ff9508978", "kernel_id": "10726703"}, {"ref": "hotsonhonet/my-first-nn-in-kaggle", "kernel_id": "10473785"}, {"ref": "cannii/kernel5fae390738", "kernel_id": "10742244"}, {"ref": "strakar/titanic-competition", "kernel_id": "10710556"}, {"ref": "susovonmullick/kernel32df1c2c39", "kernel_id": "10101999"}, {"ref": "ykwhrt/kernel75d7700e74", "kernel_id": "10428439"}, {"ref": "stanleymachuenekobo/titanic-random-forest-grid-search", "kernel_id": "10403973"}, {"ref": "stanleymachuenekobo/titanic-eda-wrangling-imputation", "kernel_id": "10352826"}, {"ref": "saumyaverma03/titanic-classification", "kernel_id": "10195977"}, {"ref": "yashnalawade/my-titanic", "kernel_id": "10172605"}, {"ref": "karthikeyanjc/titanic-logisticreg", "kernel_id": "10722796"}, {"ref": "shivabhatt/titanic", "kernel_id": "10691794"}, {"ref": "utcarshagrawal/titanic-spark-ml-magic-eda-feature-engineering", "kernel_id": "10152921"}, {"ref": "vladimirgeneralov/titanic-with-keras-tf", "kernel_id": "10078264"}, {"ref": "abhiparashar/titanic-eda-prediction-and-tutorial-for-ml", "kernel_id": "10917732"}, {"ref": "umaojha/titanic-using-data-table-first", "kernel_id": "10232123"}, {"ref": "franoismonteil/francois-monteil-titanic", "kernel_id": "10015791"}, {"ref": "abhijagtap/titanic-models", "kernel_id": "10476740"}, {"ref": "yodaitanaka/kernel28ab580d41", "kernel_id": "10425640"}, {"ref": "ssstrepetov/the-best-my-work", "kernel_id": "10775993"}, {"ref": "sahityasamala/first-project-titanic", "kernel_id": "10266585"}, {"ref": "pranavpaldewar/titanic-survivors-prediction", "kernel_id": "10157819"}, {"ref": "maurice24/titanic", "kernel_id": "10132699"}, {"ref": "harryliuhanyao/cluster-analysis-unsupervised-country-data", "kernel_id": "10243107"}, {"ref": "harryliuhanyao/pca-fa-cluster", "kernel_id": "10188505"}, {"ref": "paulinakas/titanic-machine-learning-from-disaster", "kernel_id": "10794190"}, {"ref": "stephanierufino/sobrevivencia-titanic", "kernel_id": "10026419"}, {"ref": "mrinalchandramishra/titanic-survival-accuracy-approx-80", "kernel_id": "10393050"}, {"ref": "meryllmercadier/kerneldc72922422", "kernel_id": "10065516"}, {"ref": "jrosvigan/kaggle-titanic-optimisation", "kernel_id": "10296353"}, {"ref": "binarydragon/titanic-survival-prediction", "kernel_id": "10525849"}, {"ref": "otaguroken/kernel2d097f0024", "kernel_id": "10152333"}, {"ref": "manushrikansara/detail-eda-on-titanic", "kernel_id": "10464415"}, {"ref": "gokulskumar/titanic-exp-2", "kernel_id": "10797932"}, {"ref": "gokulskumar/titanic-exp", "kernel_id": "10742523"}, {"ref": "pratikbarua/titanic-survival-prediction", "kernel_id": "10016877"}, {"ref": "corneliustantius/titanic-submission", "kernel_id": "10059141"}, {"ref": "mmukeshreddy/kernel541bb12a1c", "kernel_id": "10532248"}, {"ref": "bhavinmoriya/titanic-starts-off", "kernel_id": "10021539"}, {"ref": "bhatiashivam/ahoy-top-3-the-only-notebook-you-need", "kernel_id": "10374790"}, {"ref": "rajnathpatel/titanic-disaster-prediction", "kernel_id": "10628991"}, {"ref": "roastedalmonds/titanik1", "kernel_id": "10563313"}, {"ref": "yuehaopan/titanic-notebook", "kernel_id": "10588919"}, {"ref": "yusakufuruhashi/python-kaggle-start-book-ch02-05", "kernel_id": "10692129"}, {"ref": "rupamshil/catboost-and-xgboost-for-titanic-dataset", "kernel_id": "10825167"}, {"ref": "kens3i/my-first-model", "kernel_id": "10684827"}, {"ref": "chemeng1/l-layer-ann-titanic-project", "kernel_id": "10181476"}, {"ref": "thangarasumathan/kernel19c2afdb34", "kernel_id": "10770639"}, {"ref": "dhanajayanganesan/100-accurate-results-with-eda-all-ml-models", "kernel_id": "10659735"}, {"ref": "mehmetsehirli/titanic-disaster-data-analysis", "kernel_id": "10290059"}, {"ref": "madhveesachdeva/getting-started-with-titanic", "kernel_id": "10030177"}, {"ref": "najmusshayadat/intro-to-ml-with-titanic", "kernel_id": "10859372"}, {"ref": "michaelblokhin/titanic-catboost-randomseed", "kernel_id": "10475761"}, {"ref": "amolsawle/my-first-titanic-journey-with-kaggle", "kernel_id": "10325063"}, {"ref": "vyombhatia/simplified-solution-titanic-randomforestclass", "kernel_id": "10806015"}, {"ref": "karmabirchakraborty/kernel751e9bf52f", "kernel_id": "10203112"}, {"ref": "samitmhatre/who-will-survive", "kernel_id": "10219621"}, {"ref": "bizzyvinci/titanic1", "kernel_id": "10639731"}, {"ref": "darkknight98/titanic-dataset-zero-to-hero-within-top-3", "kernel_id": "10868981"}, {"ref": "piyushdandagawhal/kernel-titanic", "kernel_id": "10741756"}, {"ref": "jjuinni/titanic-an-approach-to-top-12", "kernel_id": "10001986"}, {"ref": "fadzlinrafi/tutorial-simple-gradient-booster-classifier", "kernel_id": "10074359"}, {"ref": "yusukeamano/01-titanic-20200619", "kernel_id": "10112260"}, {"ref": "yukibessho/0626bessho", "kernel_id": "10331980"}, {"ref": "azumakohei/kernel3e15558e74", "kernel_id": "10181201"}, {"ref": "dannythit/titanic-competition-submission", "kernel_id": "10861295"}, {"ref": "sreyareddy15/titanic-detailed-eda-and-feature-engineering", "kernel_id": "10625616"}, {"ref": "aartiravariya/getting-started-with-titanic", "kernel_id": "10893630"}, {"ref": "fengfangtao/titanic-final3-0", "kernel_id": "10116525"}, {"ref": "rezuanurrahmandip/titanic-dataset-analysis", "kernel_id": "10223537"}, {"ref": "maaottoni/eda-titanic", "kernel_id": "10082048"}, {"ref": "bethecheng/titanic-novice-model-evaluation", "kernel_id": "10870935"}, {"ref": "ritikdhedia/titanic-pytorch", "kernel_id": "10556371"}, {"ref": "gonzalonaveira/titanic-notebook", "kernel_id": "10244954"}, {"ref": "burakanilcila/titanic-eda-with-visualization", "kernel_id": "10080862"}, {"ref": "kenshohirasawa/titanic-tutorial-2020-06-30", "kernel_id": "10406669"}, {"ref": "pauloalvaro/titanic-survival-prediction", "kernel_id": "10658175"}, {"ref": "abilashivs/kernel3e217ae073", "kernel_id": "10042895"}, {"ref": "shanmugarajar/firstdssubmission", "kernel_id": "10461504"}, {"ref": "thevheed/titanic-survival-classification-prediction", "kernel_id": "10591336"}, {"ref": "yinhowlew/titanic-kaggle-yh-v1", "kernel_id": "10144445"}, {"ref": "yinhowlew/titanic-kaggle-yh-v2", "kernel_id": "10161042"}, {"ref": "scorlibpl/my-first-titanic-project", "kernel_id": "10268392"}, {"ref": "namiki1984/svc-1984-hands-on", "kernel_id": "10892834"}, {"ref": "maximinjoshua/kernela38862141a", "kernel_id": "10119985"}, {"ref": "viktorpolevoi/titanic", "kernel_id": "10157982"}, {"ref": "cathyyan37/titanic-submission", "kernel_id": "10001867"}, {"ref": "adityagupt/kernel1442570e78", "kernel_id": "10208019"}, {"ref": "courtneygallant/titanic-eda-wrangling-imputation", "kernel_id": "10432991"}, {"ref": "courtneygallant/titanic-random-forest-grid-search", "kernel_id": "10433170"}, {"ref": "baqabab/machine-learning-titanic-project", "kernel_id": "10204150"}, {"ref": "bulelaninkosi/titanic-random-forest-grid-search", "kernel_id": "10287664"}, {"ref": "bulelaninkosi/titanic-eda-wrangling-imputation", "kernel_id": "10286893"}, {"ref": "amirahmadbagherabadi/titanic-logistic-regression", "kernel_id": "10853573"}, {"ref": "renaudgendron/prediction-81-5", "kernel_id": "10920285"}, {"ref": "renaudgendron/titanic-prediction", "kernel_id": "10378604"}, {"ref": "aabishkaryal/titanic", "kernel_id": "10071512"}, {"ref": "shikharpatel/titanic", "kernel_id": "10296132"}, {"ref": "neeltejwani/getting-started-with-titanic", "kernel_id": "10021980"}, {"ref": "systjq/kernel561bca2679", "kernel_id": "10012821"}, {"ref": "sankuguha/first-kernal-titanic-dataset", "kernel_id": "10221407"}, {"ref": "soyoungpark91/titanic-practice", "kernel_id": "10028520"}, {"ref": "komkom21/titanic-01", "kernel_id": "10110776"}, {"ref": "nicolemeinie/titanic-eda-wrangling-imputation", "kernel_id": "10419330"}, {"ref": "nicolemeinie/titanic-random-forest-grid-search", "kernel_id": "10419387"}, {"ref": "sengding/titanic-tutorial", "kernel_id": "10021926"}, {"ref": "kganedimagolo/titanic-eda-wrangling-imputation", "kernel_id": "10462520"}, {"ref": "kganedimagolo/titanic-random-forest-grid-search", "kernel_id": "10462878"}, {"ref": "yashsingh25/titanic-dataset-analysis", "kernel_id": "10029649"}, {"ref": "lailaholland/a-complete-guide-for-binary-classification-problem", "kernel_id": "10186513"}, {"ref": "maciejszczurek/titanic-machine-learning", "kernel_id": "10021049"}, {"ref": "maciejszczurek/titanic-machine-learning-second-attempt", "kernel_id": "10022377"}, {"ref": "nguyenvantambinh/kernel603bfa835d", "kernel_id": "10141063"}, {"ref": "salmanfari/titanic-predictions-eda-logisticregression", "kernel_id": "10478862"}, {"ref": "hermindersingh/titanic-challenge", "kernel_id": "10037012"}, {"ref": "palakaggarwal1234/kernel7e8b405865", "kernel_id": "10395980"}, {"ref": "doukanlelolu/phy-titanic-eda", "kernel_id": "10065765"}, {"ref": "adinishad/titanic-prediction", "kernel_id": "10769283"}, {"ref": "leandrecarpentier/kernel6301a08b7d", "kernel_id": "10046456"}, {"ref": "johnnyjester/titanic-m-l-challenge", "kernel_id": "10047584"}, {"ref": "wammys/kaggle-start-book-ch02-01", "kernel_id": "10112106"}, {"ref": "shimashimatry/kernel70ac53c455", "kernel_id": "10263596"}, {"ref": "thavhatsiwana/titanic-random-forest-grid-search", "kernel_id": "10266384"}, {"ref": "thavhatsiwana/titanic-eda-wrangling-imputation", "kernel_id": "10266035"}, {"ref": "inwoos/kernel7c469f1214", "kernel_id": "10052464"}, {"ref": "mrelektro/noobs-first-titanic-submission", "kernel_id": "10686028"}, {"ref": "yoshihirosuto/kernel61f59ba834", "kernel_id": "10464742"}, {"ref": "ky602m1/kernel792c8d705a", "kernel_id": "10212040"}, {"ref": "ja4todayzenki/kernel5aa07b2810", "kernel_id": "10717660"}, {"ref": "umaaairr11/eda-logistic-regression", "kernel_id": "10605635"}, {"ref": "sk04bio16/kernel256ca98776", "kernel_id": "10356560"}, {"ref": "mary14wh/kernel22b9e83829", "kernel_id": "10340894"}, {"ref": "konishisaki/kernel23a2fb825f", "kernel_id": "10214216"}, {"ref": "dipantitabiswas/titanic-machine-learning", "kernel_id": "10322083"}, {"ref": "kaggluserjp/kernel74132c8f36", "kernel_id": "10216925"}, {"ref": "kajitomoya/kernel469cdc6e2e", "kernel_id": "10220089"}, {"ref": "ananth18/titanic-logistic-regression-beginners-easy", "kernel_id": "10192534"}, {"ref": "soichiroiino/kernel5bff818b46", "kernel_id": "10469882"}, {"ref": "kaito1412/kernel3d9623194e", "kernel_id": "10216262"}, {"ref": "hiromaru/kernel45c552816e", "kernel_id": "10770424"}, {"ref": "fukaeryo/kernel58a7223515", "kernel_id": "10323245"}, {"ref": "gyotaoka/kernel787a0f777a", "kernel_id": "10215560"}, {"ref": "callumparton/titanic-using-k-nn-and-extensive-pre-processing", "kernel_id": "10397754"}, {"ref": "kamalisekar/titanic-survival-prediction", "kernel_id": "10628170"}, {"ref": "jeevanrh/kernel40e207e432", "kernel_id": "10764070"}, {"ref": "durgeshkulkarni/titanic-dataset-with-rfc", "kernel_id": "10154789"}, {"ref": "induyadav05/first-project", "kernel_id": "10231735"}, {"ref": "vigneshkc/titanic-prediction", "kernel_id": "10110041"}, {"ref": "ryomamitani/kernel4de34e2caf", "kernel_id": "10249624"}, {"ref": "derickodhiambo/titanic-challenge-using-logistic-regression", "kernel_id": "10195735"}, {"ref": "millerh1/example-analysis-of-titanic-data", "kernel_id": "10941413"}, {"ref": "markkemenes/titanic-data-viz-and-ml", "kernel_id": "10112136"}, {"ref": "emitt23/getting-started-with-titanic", "kernel_id": "10228261"}, {"ref": "arch11/titanic-random-forest", "kernel_id": "10228609"}, {"ref": "arch11/titanic-logistic-regression", "kernel_id": "10284719"}, {"ref": "muhammadshahroz/2-titanic", "kernel_id": "10292892"}, {"ref": "kangbyounggwan/titanic-preprocessing", "kernel_id": "10389191"}, {"ref": "srinjoybhuiya/a-beginners-classification-model", "kernel_id": "10595542"}, {"ref": "srinjoybhuiya/analysis-of-the-rms-titanic-disaster", "kernel_id": "10685761"}, {"ref": "fatimaafifi/titanic", "kernel_id": "10546478"}, {"ref": "fatimaafifi/titanicpro", "kernel_id": "10519046"}, {"ref": "yonataneisenstein/kernel-titanic-dataset-ye", "kernel_id": "10125855"}, {"ref": "manik2712/data-wrangling-practice-cheatsheet", "kernel_id": "10451577"}, {"ref": "helenikeda/titanic-disaster-random-forest", "kernel_id": "10512499"}, {"ref": "sotasugiura/myfirstchallenge", "kernel_id": "10154459"}, {"ref": "marxinlin/kernel6e4eaf6f14", "kernel_id": "10249650"}, {"ref": "yuyakun/kernel14d9cdfba2", "kernel_id": "10273535"}, {"ref": "harshitkg/titanic-commondataanalysis-kernel38f1999c54", "kernel_id": "10161604"}, {"ref": "akaalds/kernel46218fa683", "kernel_id": "10430696"}, {"ref": "davidjj999/first-titanic-notebook", "kernel_id": "10148505"}, {"ref": "samhithavadlamani/bakaito-titanic", "kernel_id": "10537900"}, {"ref": "tanakahiroto/kernel5cf451ae45", "kernel_id": "10286625"}, {"ref": "bvravikiran/kernel9273cb35f1", "kernel_id": "10233605"}, {"ref": "nihalhaboush/fork-of-kernel9f82195434", "kernel_id": "10564986"}, {"ref": "rodmcn/titanic", "kernel_id": "10198233"}, {"ref": "doaajaber/titanic", "kernel_id": "10513115"}, {"ref": "fayrouzfarra/titanic", "kernel_id": "10570725"}, {"ref": "nahedalsharif/titanic-inter", "kernel_id": "10570419"}, {"ref": "razanabudagen/titanic-ml-modeling", "kernel_id": "10528362"}, {"ref": "gauravmahapatro/titanic-models-comparison-eda-to-ml", "kernel_id": "10192488"}, {"ref": "asiaahmedabushawish/kernel1bfb83f992", "kernel_id": "10544937"}, {"ref": "eduardodequadros/kernel4a385e731a", "kernel_id": "10188065"}, {"ref": "rudra111/kernel75fd6b5d9b", "kernel_id": "10372283"}, {"ref": "varunsharma20/titanic-survival-prediction-using-svm", "kernel_id": "10966960"}, {"ref": "yanamuh/titanic-eda-simpleprediction", "kernel_id": "10769748"}, {"ref": "aliasvickybienaime/pr-diction-des-survivants-du-titanic", "kernel_id": "10956184"}, {"ref": "muisoz/an-analysis-of-the-titanic-problem", "kernel_id": "10502846"}, {"ref": "masagokoji/kernel59e5f89476", "kernel_id": "10264331"}, {"ref": "fuadmohamoud/titanic-notebook", "kernel_id": "10633071"}, {"ref": "jimmycarrasco/titanic-0", "kernel_id": "10769313"}, {"ref": "abdalazez/titanic-prediction", "kernel_id": "10543398"}, {"ref": "mahmoudalhallaq/titanic-mahmod-com", "kernel_id": "10551221"}, {"ref": "kareemaburejila/titanic-machine-learning-from-disaster-rfc", "kernel_id": "10684743"}, {"ref": "vedurumudipriyanka/exercise-syntax-variables-and-numbers", "kernel_id": "10174987"}, {"ref": "islammohaisen/titanic-competition-dtc", "kernel_id": "10597702"}, {"ref": "islammohaisen/titanic-dtc", "kernel_id": "10632349"}, {"ref": "islammohaisen/titanic-rfc", "kernel_id": "10779314"}, {"ref": "islammohaisen/titanic-competition-xgboosting", "kernel_id": "10758696"}, {"ref": "zakariatafesh/titanic-predection", "kernel_id": "10552740"}, {"ref": "raghadjaber/titanic-competition", "kernel_id": "10537021"}, {"ref": "mohgsam/titanic-comp", "kernel_id": "10541400"}, {"ref": "ahmedmurad1990/titanic-competition-how-to-get-top-score-100", "kernel_id": "10864074"}, {"ref": "ahmedmurad1990/titatinc", "kernel_id": "10539962"}, {"ref": "ahmedmurad1990/titanic", "kernel_id": "10540439"}, {"ref": "mahtabhossain/titanic-survival-classification", "kernel_id": "10607587"}, {"ref": "martinvarelaaaa/getting-started-with-titanic", "kernel_id": "10405467"}, {"ref": "mohammedkuheil/titanic-xgboosting", "kernel_id": "10598862"}, {"ref": "shayanyan/getting-started-with-titanic", "kernel_id": "10230521"}, {"ref": "rikbanerjeeju/kernel45355cf442", "kernel_id": "10237302"}, {"ref": "oliveiralucaseng/titanic-test-v1", "kernel_id": "10547851"}, {"ref": "namiorimura/kernel2666a00675", "kernel_id": "10304709"}, {"ref": "pedromenegat/pt-br-titanic-competition", "kernel_id": "10873731"}, {"ref": "namamako/kernel7ae8fb1a1f", "kernel_id": "10450323"}, {"ref": "matsumototo/kernel70c5e4d236", "kernel_id": "10192015"}, {"ref": "rishabdhar1619/getting-started-with-titanic", "kernel_id": "10730527"}, {"ref": "henrywu0718/kernel554ea4a14a", "kernel_id": "10628437"}, {"ref": "climbcluster/kernel76113db02c", "kernel_id": "10302191"}, {"ref": "shotaroueda/kernel51f8918767", "kernel_id": "10329550"}, {"ref": "genkinoshita/kernel4417f4547b", "kernel_id": "10339667"}, {"ref": "astitvaawasthi/titanic", "kernel_id": "10570006"}, {"ref": "sakata0141/kernel69b32e7726", "kernel_id": "10301673"}, {"ref": "lihanqiang/kernel7a05974e71", "kernel_id": "10407158"}, {"ref": "toyotakatamura/kernel44f079372d", "kernel_id": "10449322"}, {"ref": "gopalrameshdahale/getting-started-with-titanic", "kernel_id": "10761543"}, {"ref": "thinnkai/kernel54f0fac31b", "kernel_id": "10447069"}, {"ref": "thinnkai/kernel5d5b8f3532", "kernel_id": "10337344"}, {"ref": "crenuntius/kernel7da09e776a", "kernel_id": "10327517"}, {"ref": "kematsu/kernel1735b071e4", "kernel_id": "10210797"}, {"ref": "tanakaryosei/kernel3b22801c64", "kernel_id": "10334325"}, {"ref": "i2um1t/kernel4b484e6463", "kernel_id": "10449562"}, {"ref": "hirotomaeno/kernel317a63c071", "kernel_id": "10215513"}, {"ref": "nonenone159/kernel4f12173246", "kernel_id": "10212516"}, {"ref": "daichitakahara/kernel186abdce11", "kernel_id": "10212580"}, {"ref": "yoshidamizuho/kernel71f41d1b33", "kernel_id": "10213868"}, {"ref": "fukazawakanami/kernel4adaa00e46", "kernel_id": "10213364"}, {"ref": "mizunomasayuki/kernel64dc36f35f", "kernel_id": "10212759"}, {"ref": "akimasahiro/kernel2bdccaf968", "kernel_id": "10214262"}, {"ref": "katayama6120/kernel4bfe8ee535", "kernel_id": "10212898"}, {"ref": "kubonoyusuke/titanic", "kernel_id": "10303725"}, {"ref": "syousuke/kernel2b9279682e", "kernel_id": "10212916"}, {"ref": "kamiyamei/kernel22a6a1d348", "kernel_id": "10283695"}, {"ref": "nagi0729/kernelf58417a4f0", "kernel_id": "10213250"}, {"ref": "teppeimoroyama/kernel239db48059", "kernel_id": "10213999"}, {"ref": "ogatamami/kernel63c0f75133", "kernel_id": "10304564"}, {"ref": "baniyamabanio/kernel1619d30122", "kernel_id": "10213264"}, {"ref": "makiokaho/kernel1f58297a7a", "kernel_id": "10214253"}, {"ref": "heterojunction/kernel6f5ff7fb1c", "kernel_id": "10228652"}, {"ref": "paperlessaiueo/kernel20ff01013a", "kernel_id": "10217295"}, {"ref": "alnsubstrate/kernel6462c4e65c", "kernel_id": "10264735"}, {"ref": "ga2o3nw/kernel2b4f581710", "kernel_id": "10229477"}, {"ref": "momoveliadeviluke/kernel19a0b94f4b", "kernel_id": "10329002"}, {"ref": "newtonsapple/kernel279a248163", "kernel_id": "10324874"}, {"ref": "ikegamit/kernel54a5813e18", "kernel_id": "10214568"}, {"ref": "tanakaai/kernel4b1f07e426", "kernel_id": "10271114"}, {"ref": "muraser/kernele082ef411f", "kernel_id": "10323376"}, {"ref": "kwstmk/kernel3a528d103e", "kernel_id": "10302528"}, {"ref": "rahulpawade/solving-titanic-problem-by-logistic-regression", "kernel_id": "10663866"}, {"ref": "eisukeyamamoto/kernel382668bb48", "kernel_id": "10214657"}, {"ref": "hideyukimimura/kernel6e2fcbfc65", "kernel_id": "10214951"}, {"ref": "funaitatsuro/kernel4c7659d229", "kernel_id": "10214638"}, {"ref": "ohjitakehito/datascience6-25", "kernel_id": "10323789"}, {"ref": "hyyuki/kernel7ec127ee1e", "kernel_id": "10355540"}, {"ref": "kyrt5431/kernel42c69b475b", "kernel_id": "10232903"}, {"ref": "gackji/kernel3d0af34959", "kernel_id": "10214906"}, {"ref": "tansudeeisa/kernel2524bf8973", "kernel_id": "10215029"}, {"ref": "taueharuka/kernel71e029ef2d", "kernel_id": "10215451"}, {"ref": "mohrimiori/kernel4ea4e61f69", "kernel_id": "10215492"}, {"ref": "masamiitaya/kernel589908566b", "kernel_id": "10215131"}, {"ref": "kazuhiroyoneda/kernel5dbc397edc", "kernel_id": "10215355"}, {"ref": "hiropooh/kernel1f29a7866d", "kernel_id": "10338046"}, {"ref": "yosukehasimoto/kernel5a8f2d1b7e", "kernel_id": "10342043"}, {"ref": "tasyuyoshida/kernel2c46ce8d57", "kernel_id": "10215978"}, {"ref": "iwashi1/kernel723d3c5a6f", "kernel_id": "10283607"}, {"ref": "kazumatsuchitani/kernel3afdf01111", "kernel_id": "10215947"}, {"ref": "mh1011/kernel5abbadb53e", "kernel_id": "10215599"}, {"ref": "yossy3/kernel3681b4cf7c", "kernel_id": "10253272"}, {"ref": "masakiaso/kernel7bb884c028", "kernel_id": "10264507"}, {"ref": "katsumiterasaki/kernel735f9e5616", "kernel_id": "10215775"}, {"ref": "inouehiroki/kernel1568258730", "kernel_id": "10215862"}, {"ref": "crym79/kernel2ad45ec744", "kernel_id": "10272538"}, {"ref": "onizima/kernel314d719510", "kernel_id": "10265933"}, {"ref": "junasa/kernel6df89e0f1f", "kernel_id": "10216411"}, {"ref": "kazumakusumoto/kernel6ae52ccc65", "kernel_id": "10238571"}, {"ref": "jedise/kernel730f2a796f", "kernel_id": "10373706"}, {"ref": "sh9999/kernel7c2c25263e", "kernel_id": "10216675"}, {"ref": "supersaiyan444/kernel5e541dd038", "kernel_id": "10340746"}, {"ref": "c612035044/kernel12ad2caa58", "kernel_id": "10217333"}, {"ref": "oku8ma/kernel1866af3a16", "kernel_id": "10217929"}, {"ref": "umeharadaichi/kernel2cc370e060", "kernel_id": "10389424"}, {"ref": "yutaokamoto/kernel2e90ccd748", "kernel_id": "10389627"}, {"ref": "asnuvatanvin/getting-started-with-titanic", "kernel_id": "10218996"}, {"ref": "shunnosukemori/kernel212ae46c51", "kernel_id": "10218914"}, {"ref": "syotogo/kernel3f3b3d0c43", "kernel_id": "10238489"}, {"ref": "vithngh/titanic-project-draft-hung", "kernel_id": "10988406"}, {"ref": "hirofumihosokawa/kernele171053328", "kernel_id": "10224976"}, {"ref": "ishaanaditya/titanic-classification", "kernel_id": "10809487"}, {"ref": "mvilarinho/randomresultskeepingratios-comp", "kernel_id": "10287964"}, {"ref": "mvilarinho/featureschoose", "kernel_id": "10312963"}, {"ref": "mvilarinho/sklearntree", "kernel_id": "10312849"}, {"ref": "mvilarinho/titanicfinal", "kernel_id": "10382975"}, {"ref": "kristoft/sthetics-are-a-moral-imperative", "kernel_id": "10272137"}, {"ref": "jemontenegro1/titanicml", "kernel_id": "10353290"}, {"ref": "atsukiishikawa/kernel65ff353c60", "kernel_id": "10228488"}, {"ref": "dbatao/kernel13398b0448", "kernel_id": "10323727"}, {"ref": "yuzucham/kernel4f9649e05f", "kernel_id": "10253637"}, {"ref": "kimurayuzuka/kernel5b57874f6f", "kernel_id": "10248954"}, {"ref": "c6120340101/kernel57f9594b34", "kernel_id": "10235306"}, {"ref": "c6120340101/kernel38d7e42261", "kernel_id": "10234318"}, {"ref": "c6120340101/kernel1586cd6db9", "kernel_id": "10234828"}, {"ref": "tatsuyaichikawa/kernel4bd545c251", "kernel_id": "10235422"}, {"ref": "ramcharanyadav/titanic-prediction", "kernel_id": "10843813"}, {"ref": "hchino/kernel58a6e15c57", "kernel_id": "10271297"}, {"ref": "hkazuki/kernel50770ee71d", "kernel_id": "10429471"}, {"ref": "fukuitsubasa/kernel5291e4c52f", "kernel_id": "10238020"}, {"ref": "yugonishida/kernel62589edb75", "kernel_id": "10786065"}, {"ref": "tatsu88/kernel5545420967", "kernel_id": "10345210"}, {"ref": "engnadersarsour/titnic", "kernel_id": "10599300"}, {"ref": "aestivalis/kernel45062ed860", "kernel_id": "10240680"}, {"ref": "maimahdi/titanicrf", "kernel_id": "10593963"}, {"ref": "maimahdi/titanicdataset", "kernel_id": "10592911"}, {"ref": "takumuhonda/hon-ver3", "kernel_id": "10993008"}, {"ref": "skysky123/kernel1555b49548", "kernel_id": "10272504"}, {"ref": "oglangelo/titanic-2020", "kernel_id": "10247656"}, {"ref": "tennisjatmgezwebnejp/kernel6fc25aa6e2", "kernel_id": "10262882"}, {"ref": "nvamsikrishna05/kaggle-titanic-survival-prediction", "kernel_id": "10996204"}, {"ref": "hijiri05/kernel199ccc3a39", "kernel_id": "10252370"}, {"ref": "omochiyoshiki/kernel3b717dc972", "kernel_id": "10417463"}, {"ref": "kenyabando/kernel3d65403e33", "kernel_id": "10254990"}, {"ref": "gkalpolukcu/titanic-eda-final-homework-v3", "kernel_id": "10324028"}, {"ref": "brainpowerd28/kernel2f33a5bc11", "kernel_id": "10254243"}, {"ref": "aathirakrishna/kernel36116c26d7", "kernel_id": "10317788"}, {"ref": "muguruma/kernel50ac3c5b18", "kernel_id": "10267652"}, {"ref": "hamass/kernel7955c8746b", "kernel_id": "10303604"}, {"ref": "poweronreset/kernel6d42492d20", "kernel_id": "10433676"}, {"ref": "unknown12345/kernelcc57ea5488", "kernel_id": "10262800"}, {"ref": "futaokido/kernel730b07e94c", "kernel_id": "10262772"}, {"ref": "nakaih/kernel546f090e36", "kernel_id": "10263717"}, {"ref": "enenta/kernel74bea5b710", "kernel_id": "10263090"}, {"ref": "s98312754/kernel543b6b876c", "kernel_id": "10288006"}, {"ref": "aiharadaiki/kernel587e265f10", "kernel_id": "10264468"}, {"ref": "yoshitakuuu/kernel52e2639370", "kernel_id": "10338065"}, {"ref": "harukayoshioka/kernel4a4ea4323d", "kernel_id": "10265151"}, {"ref": "hamaday/kernelbcf53766eb", "kernel_id": "10266422"}, {"ref": "rennozaki/kernel33194f8d6f", "kernel_id": "10266905"}, {"ref": "nakaokazuki/kernel307d5b752d", "kernel_id": "10283491"}, {"ref": "yamashitakodai/kernel193bfaf54e", "kernel_id": "10447202"}, {"ref": "kusanoshin/kernel7b47c37f6a", "kernel_id": "10430621"}, {"ref": "akarikurata/kernel27f631c59c", "kernel_id": "10284776"}, {"ref": "statisticalmouse/basic-data-visualisation-with-r-ggplot", "kernel_id": "10880175"}, {"ref": "nirjhardas/titanic", "kernel_id": "10863318"}, {"ref": "amandeepsingh12/1-titanic-solution", "kernel_id": "10556383"}, {"ref": "momomoriririnonono/kernel7a26287a70", "kernel_id": "10318621"}, {"ref": "varsha765/titanic-data-analysis-and-survival-predictions", "kernel_id": "10441771"}, {"ref": "varsha765/titanic-data-analysis-and-predictions", "kernel_id": "10390970"}, {"ref": "haseena27/kernel28bb9dc328", "kernel_id": "10401180"}, {"ref": "suih514/kernel61ddc73d3a", "kernel_id": "10269593"}, {"ref": "josephnaugle/joseph-naugle", "kernel_id": "10615610"}, {"ref": "tarouyamada/kernel78bb5aef1d", "kernel_id": "10281998"}, {"ref": "uemuratomoaki/kernel634d346539", "kernel_id": "10292160"}, {"ref": "cwoabc/kernela8f923660f", "kernel_id": "10426717"}, {"ref": "jaidevchittoria/titanic-top-4-using-xgboost-80-143", "kernel_id": "10562196"}, {"ref": "jaidevchittoria/titanic-xgbclassifier-79-625", "kernel_id": "10421422"}, {"ref": "canialugroamon/titanic-machine-learning-from-disaster", "kernel_id": "10491265"}, {"ref": "rtotasengoku/kernel701d32334a", "kernel_id": "10320146"}, {"ref": "ponny23/kernel26e578544b", "kernel_id": "10282463"}, {"ref": "kr234869/kernel473debf8d2", "kernel_id": "10282208"}, {"ref": "hr5533/kernel34fa814e11", "kernel_id": "10282096"}, {"ref": "bobsapps/kernel27c4cc3d53", "kernel_id": "10282224"}, {"ref": "seiryuabe/kernel7af1808826", "kernel_id": "10319010"}, {"ref": "alskdja/kernel40bbc3ed77", "kernel_id": "10284117"}, {"ref": "takumiyuki/kernel555282498e", "kernel_id": "10283316"}, {"ref": "tyuapds789/kerneled13e845bf", "kernel_id": "10283291"}, {"ref": "yusukek/kernel2d9f046e44", "kernel_id": "10312763"}, {"ref": "outmanhoummada/kernel43fe237e1b", "kernel_id": "10406121"}, {"ref": "yamadar/kernel7d1a6cff56", "kernel_id": "10301956"}, {"ref": "sugimoto1104/kernela0c0b6e47e", "kernel_id": "10284888"}, {"ref": "taichihara/kernel24cfb3ef51", "kernel_id": "10284906"}, {"ref": "sodiumlz/kernel586bd88388", "kernel_id": "10285360"}, {"ref": "yoshidatakuma/kernel34d0920946", "kernel_id": "10286133"}, {"ref": "akarifukuta/kernel4a91eaf761", "kernel_id": "10287734"}, {"ref": "mikiharuka/kernel655752fd16", "kernel_id": "10285956"}, {"ref": "honamiinubushi/kernel4bed13aeaa", "kernel_id": "10286041"}, {"ref": "so4to2mi9no/kernel20afaa3a4c", "kernel_id": "10288972"}, {"ref": "tikuwaaa/kernel1fff7a9f29", "kernel_id": "10288193"}, {"ref": "daikan/kernel5528525172", "kernel_id": "10288069"}, {"ref": "kuwamuratakahiro/kernel7dfebdc435", "kernel_id": "10288788"}, {"ref": "robertobaggio/kernel75ddb2d14d", "kernel_id": "10290252"}, {"ref": "datasciencebio/kernel700b3b9f63", "kernel_id": "10338245"}, {"ref": "agentnik/titanic-using-three-models-hyperparameters", "kernel_id": "10303141"}, {"ref": "rahulrajpandey31/titanic-survival-complete-guide", "kernel_id": "10621618"}, {"ref": "ritamaria/titanic-analysis", "kernel_id": "10392328"}, {"ref": "prakharagrawal22/titanic-1", "kernel_id": "10446605"}, {"ref": "lingyuxiong/preprocessing-hyperparameter-tuning-top-11", "kernel_id": "10357342"}, {"ref": "tekitodesu/kernel41d1dc9c55", "kernel_id": "10302136"}, {"ref": "thuansaraiva/titanic-random-forest-82-78", "kernel_id": "10301423"}, {"ref": "chikaratanioka/kernel4358e3196c", "kernel_id": "10407531"}, {"ref": "jxsoon/titanic-survivor-predictions", "kernel_id": "10946568"}, {"ref": "toshiakisou/kernel5c7a3b0357", "kernel_id": "10340027"}, {"ref": "takumisatotu/kernel101208891a", "kernel_id": "10302684"}, {"ref": "kusunokisintaro/kernel113811c1e9", "kernel_id": "10302623"}, {"ref": "somaoura/kernel1bbfdf3a77", "kernel_id": "10305031"}, {"ref": "takasakiren/kernel34701cb728", "kernel_id": "10303715"}, {"ref": "katharinepires/decision-tree-for-titanic", "kernel_id": "10621104"}, {"ref": "katharinepires/logistic-regression-for-titanic", "kernel_id": "10616453"}, {"ref": "katharinepires/titanic-with-r", "kernel_id": "10711217"}, {"ref": "mitanmmmm/kernel7b86acdd2b", "kernel_id": "10351566"}, {"ref": "tanakaseitaro/kernel45323cb875", "kernel_id": "10304704"}, {"ref": "simaumaumatato/kernel51e1fdce1a", "kernel_id": "10338262"}, {"ref": "mahokookada/kernel5e9457071f", "kernel_id": "10323302"}, {"ref": "naitoy/kernel4a90f98152", "kernel_id": "10305439"}, {"ref": "naitoy/kernel1ee314976e", "kernel_id": "10305343"}, {"ref": "ikabari/kernel5cc9c4b72c", "kernel_id": "10306016"}, {"ref": "ikabari/kernel6d4a8fd427", "kernel_id": "10317841"}, {"ref": "inamototakuya/kernel500f0ef14e", "kernel_id": "10306398"}, {"ref": "mirzamujtaba/titanic-survival-prediction-tutorial-for-beginners", "kernel_id": "10845671"}, {"ref": "hiroshikaneda/kernel1838893e56", "kernel_id": "10309178"}, {"ref": "okushima/kernel5861a9cb54", "kernel_id": "10327867"}, {"ref": "shinsuken/kernel26dd178856", "kernel_id": "10310808"}, {"ref": "hamzasahin/titanic-competition", "kernel_id": "10402069"}, {"ref": "kazukisatokawa/kernel1d389c1568", "kernel_id": "10319649"}, {"ref": "kartikkbhadesiya/titanic", "kernel_id": "10312765"}, {"ref": "micky92/getting-85-accuracy-with-only-5-lines-of-code", "kernel_id": "10326129"}, {"ref": "simfree/kernel68d057e43d", "kernel_id": "10315652"}, {"ref": "frederictchuisseu/kernel68002c3a1c", "kernel_id": "10904374"}, {"ref": "macken15/kernelf13d2e73dc", "kernel_id": "10318469"}, {"ref": "yabumo0531/kernelbb8d4c75c3", "kernel_id": "10320075"}, {"ref": "kotaseki/kernel5307c5db2c", "kernel_id": "10319044"}, {"ref": "hirokitanioka/kernel3c5323ad51", "kernel_id": "10319627"}, {"ref": "ootani/kernel760bf62b51", "kernel_id": "10321006"}, {"ref": "idogakishingo/kernel4510afef1d", "kernel_id": "10321987"}, {"ref": "lenovo971/kernel1e327b2434", "kernel_id": "10322819"}, {"ref": "bunyutamura/kernel6868380863", "kernel_id": "10319820"}, {"ref": "kojimiyake/kernel15df2f8878", "kernel_id": "10448583"}, {"ref": "snakao/kernel7bbdc6c23b", "kernel_id": "10320303"}, {"ref": "odasatoshi/kernel44088aac59", "kernel_id": "10320600"}, {"ref": "hidehirosugioka/kernel6ef3fe563f", "kernel_id": "10342104"}, {"ref": "siba4831/kerneldd78ab2418", "kernel_id": "10320592"}, {"ref": "mmmori/kernel78d2700537", "kernel_id": "10320911"}, {"ref": "naokoba/kernel10cac9eb51", "kernel_id": "10320837"}, {"ref": "kkawagishi/kernel2cfe9b714b", "kernel_id": "10320889"}, {"ref": "takahiroyokoi/kernel1a3e5c3470", "kernel_id": "10320991"}, {"ref": "yoshidashunya/kernel68a630115f", "kernel_id": "10320973"}, {"ref": "kazuyajohara/kernel3b4c061869", "kernel_id": "10321497"}, {"ref": "nagayasumasamitu/kernel5ae553da52", "kernel_id": "10390568"}, {"ref": "nsakai/kernel1dce5f7366", "kernel_id": "10409061"}, {"ref": "wakakomikaki/kernel43ba8c5d15", "kernel_id": "10323427"}, {"ref": "kappa13/kernel73f4cb502d", "kernel_id": "10321595"}, {"ref": "ddddededon/kernel6a6af1195f", "kernel_id": "10321581"}, {"ref": "takady/kernel36852d0273", "kernel_id": "10326324"}, {"ref": "narichi12/kernel5508918f12", "kernel_id": "10322385"}, {"ref": "android114514/kernel2dbdeb2c1f", "kernel_id": "10321930"}, {"ref": "raduree/kernel1f2254e475", "kernel_id": "10322154"}, {"ref": "tokuntokum/kernel754f397861", "kernel_id": "10322341"}, {"ref": "myumitsuki/kernel726d228659", "kernel_id": "10388405"}, {"ref": "naruho/kernel4df18ff05a", "kernel_id": "10322608"}, {"ref": "silvermino/kernel1234acd84a", "kernel_id": "10322882"}, {"ref": "ayataka12/kernel63b9e4917b", "kernel_id": "10323714"}, {"ref": "yutamiyazaki/kernel59ffb8bb2c", "kernel_id": "10323480"}, {"ref": "yutootr/kernel6aaa87471b", "kernel_id": "10322688"}, {"ref": "fjhiro/kernel55e8cf3659", "kernel_id": "10322877"}, {"ref": "uenomisako/kernel2dc5dfa11f", "kernel_id": "10413754"}, {"ref": "age6114/kernelb7b48bf3b6", "kernel_id": "10323120"}, {"ref": "aotake/kernel3dd95d1a36", "kernel_id": "10388246"}, {"ref": "mimumimu1234/kernel7d9d53c596", "kernel_id": "10323520"}, {"ref": "naoyaichikawa/kernel159ec3e821", "kernel_id": "10392412"}, {"ref": "hirotakakawachi/kernel262341c1e4", "kernel_id": "10327907"}, {"ref": "kakihiro/kernel73bd17f5d4", "kernel_id": "10427261"}, {"ref": "shusakusaito/kernel15cc7a46bb", "kernel_id": "10452057"}, {"ref": "yuichiroakagi/kernel761ca66865", "kernel_id": "10660463"}, {"ref": "tomomiakashi/kernel77c77974f4", "kernel_id": "10324848"}, {"ref": "rinashirai/kernel14a2282a61", "kernel_id": "10397041"}, {"ref": "kishiryuto/kernel19d9be467d", "kernel_id": "10341427"}, {"ref": "yukihiroshi/kernel72756a6477", "kernel_id": "10326455"}, {"ref": "sho12345/kernel325c94292b", "kernel_id": "10327292"}, {"ref": "naoyukikadota/kernel6b4eb0ff57", "kernel_id": "10327335"}, {"ref": "catgigi/kernel2eb5f76faa", "kernel_id": "10327722"}, {"ref": "ichijoo/kernel7fa34d3064", "kernel_id": "10412662"}, {"ref": "sherzodnorboboev/getting-started-by-titanic", "kernel_id": "10703098"}, {"ref": "dakofk/kernel6f1a5e7671", "kernel_id": "10329778"}, {"ref": "ryotakuroda/kernel32f0e08d74", "kernel_id": "10328874"}, {"ref": "thayashi02/kernel7d88d86774", "kernel_id": "10462962"}, {"ref": "thayashi02/kernel6541a2c225", "kernel_id": "10463011"}, {"ref": "thayashi02/kernel1c6bf35176", "kernel_id": "10463600"}, {"ref": "thayashi02/kernel1c56a68430", "kernel_id": "10463196"}, {"ref": "thayashi02/kernel326d32a554", "kernel_id": "10463440"}, {"ref": "thayashi02/kernel53b1087267", "kernel_id": "10462246"}, {"ref": "chi9wa/kernel1acde79977", "kernel_id": "10330825"}, {"ref": "yukiyoneda/kernel3889423b12", "kernel_id": "10438427"}, {"ref": "yamaokamayu/kernel2f0c81469b", "kernel_id": "10334010"}, {"ref": "yuyaokumoto/kernel16613d6374", "kernel_id": "10329832"}, {"ref": "daikiwakiyama/kernel7952911763", "kernel_id": "10330361"}, {"ref": "taiyaki014/kernel7574e39d1d", "kernel_id": "10337970"}, {"ref": "ttanimoto/kernel1bc6659b3c", "kernel_id": "10330952"}, {"ref": "revi12c/kernel792d1d5325", "kernel_id": "10450045"}, {"ref": "jidainodaka/kernel706e029424", "kernel_id": "10331701"}, {"ref": "arumamis/kernel6c299a648a", "kernel_id": "10332142"}, {"ref": "zhengsiyue/kernel27633e1c32", "kernel_id": "10332328"}, {"ref": "hiro147/kernel6c63041d4b", "kernel_id": "10587241"}, {"ref": "sercankaynak/titanic-survive-from-disaster-eda-and-ml-works", "kernel_id": "10542526"}, {"ref": "reilock4290/kernel644f3a9b6a", "kernel_id": "10334130"}, {"ref": "tsudashota/kernel30b561515d", "kernel_id": "10486539"}, {"ref": "moggwarmarshal/kernel77b4ba8638", "kernel_id": "10336344"}, {"ref": "haitanikouhei/kernel745c0ece2f", "kernel_id": "10336558"}, {"ref": "atsuyamiyake/kernel269bee0d31", "kernel_id": "10336631"}, {"ref": "atsuyamiyake/fork-of-kernel269bee0d31", "kernel_id": "10336798"}, {"ref": "kamaren/kernel5fa5663549", "kernel_id": "10340004"}, {"ref": "watanabe0510/kernel19ff27bb7a", "kernel_id": "10465908"}, {"ref": "nambashinya/kernel5c500fbf5c", "kernel_id": "10341373"}, {"ref": "naktakas/kernel72262aaa6e", "kernel_id": "10392989"}, {"ref": "kishiyuki/kernel438b07a247", "kernel_id": "10337858"}, {"ref": "it0530/kernel209cca4234", "kernel_id": "10378289"}, {"ref": "murotakumi/kernel11bc95066b", "kernel_id": "10464992"}, {"ref": "hrnsor/kernel68879dd564", "kernel_id": "10448152"}, {"ref": "kojimakino/kernel2427a6d769", "kernel_id": "10338797"}, {"ref": "momomorishita/kernel99c350d7a1", "kernel_id": "10447107"}, {"ref": "momomorishita/kernel6e4250ae58", "kernel_id": "10448758"}, {"ref": "momomorishita/kernel7f30797664", "kernel_id": "10450033"}, {"ref": "ttkkssmm/kernel638714e532", "kernel_id": "10339027"}, {"ref": "mohammadmehedihassan/kernel5cbd72c4f9", "kernel_id": "10659433"}, {"ref": "moriyu/kernel24861ca82e", "kernel_id": "10339241"}, {"ref": "shreyasajid/titanic-80-accuracy-top-5", "kernel_id": "10523918"}, {"ref": "takeshiho/kernel7dcb60fa49", "kernel_id": "10340277"}, {"ref": "naokinii/kernel342d62c315", "kernel_id": "10340237"}, {"ref": "mikuokamoto/kernel2bf93fd813", "kernel_id": "10340561"}, {"ref": "yamasss/kernel3a2a5d7eb8", "kernel_id": "10340591"}, {"ref": "tadanotori/kernelab45602339", "kernel_id": "10340654"}, {"ref": "naito202006/kernel5977315641", "kernel_id": "10340701"}, {"ref": "takeshi0909/kernel18734a26eb", "kernel_id": "10681683"}, {"ref": "pon1357/kernel2d14bbe6f3", "kernel_id": "10453741"}, {"ref": "naotoyonemoto/kernel296c3eedf0", "kernel_id": "10455157"}, {"ref": "naotoyonemoto/kernel58b1558338", "kernel_id": "10341442"}, {"ref": "shivamkumar2124/titaic-eda-fe-with-82-accuracy", "kernel_id": "10345703"}, {"ref": "rinayano/kernel685427fc23", "kernel_id": "10464809"}, {"ref": "nakaharayoshiki/kernel3c1453746d", "kernel_id": "10465569"}, {"ref": "kaitokawasaka/kernel659bafe241", "kernel_id": "10463883"}, {"ref": "yuichiroichimura/kernel7cc481f7ae", "kernel_id": "10460022"}, {"ref": "godasinpei/kernel4da6c0c57c", "kernel_id": "10395209"}, {"ref": "cheeelseaaa/kernel2c4b86ee20", "kernel_id": "10343520"}, {"ref": "izumimasaya/kernel1cc0f79e72", "kernel_id": "10378514"}, {"ref": "frankor/titanic-1", "kernel_id": "10452584"}, {"ref": "kusamahayahide/kernel1d49dfa542", "kernel_id": "10447063"}, {"ref": "suginobu/kernel74535eb165", "kernel_id": "10388953"}, {"ref": "ohyuga/kernel533dd2794f", "kernel_id": "10344851"}, {"ref": "zengyuhan/kernel4ac4762525", "kernel_id": "10463866"}, {"ref": "hoshinokazenn/kernel105c3eee61", "kernel_id": "10344899"}, {"ref": "isozakitsuyoshi/kernel2ab5756c5c", "kernel_id": "10344059"}, {"ref": "yamagishii/kernel7cc450ccf3", "kernel_id": "10459866"}, {"ref": "taisei225/kernel2569509530", "kernel_id": "10400519"}, {"ref": "marina12829/kernel7e2599c471", "kernel_id": "10353994"}, {"ref": "tomoharutateishi/kernel39a684ee7e", "kernel_id": "10354268"}, {"ref": "sssatokichi/kernel2d50432456", "kernel_id": "10424421"}, {"ref": "daisukeakiyama/kernel33557e8224", "kernel_id": "10372955"}, {"ref": "junichimurata/kernel668aa13d1a", "kernel_id": "10420640"}, {"ref": "sunnyseed/titanic", "kernel_id": "10356386"}, {"ref": "max22112019/titanic-dm", "kernel_id": "10986414"}, {"ref": "avulapatiniranjan/titanic-using-nn", "kernel_id": "10827443"}, {"ref": "jotaroozue/kernel7136707f36", "kernel_id": "10357870"}, {"ref": "yellowtail/kernel57273dd9b8", "kernel_id": "10362055"}, {"ref": "kanamoritakahiro/kernel5cdf97ff4d", "kernel_id": "10362331"}, {"ref": "tudorgadalean/first-project", "kernel_id": "10364103"}, {"ref": "matsumototakuya5555/kernel26f900192e", "kernel_id": "10587835"}, {"ref": "adityaajay05/titanic-predictions-with-xgboost-svm-and-knn", "kernel_id": "10443824"}, {"ref": "mi8chcho87/kernel7df33fb43c", "kernel_id": "10453912"}, {"ref": "kenjee/titanic-project-example", "kernel_id": "10385931"}, {"ref": "saitour/kernel2ce7bf2352", "kernel_id": "10373131"}, {"ref": "tiger1349/kernel1c09e55622", "kernel_id": "10373590"}, {"ref": "ryojiimura/kernel2bddc2f039", "kernel_id": "10375845"}, {"ref": "zwergq/kernel408f994d71", "kernel_id": "10376435"}, {"ref": "arimayuta/kernel69bd4f1673", "kernel_id": "10377712"}, {"ref": "harshadb/titanic-was-awesome", "kernel_id": "10377353"}, {"ref": "harshadb/titanic-to-gaya", "kernel_id": "10382431"}, {"ref": "maruokanaoya/kernel2f64948530", "kernel_id": "10378094"}, {"ref": "heseasir/kernel735480e77e", "kernel_id": "10469647"}, {"ref": "dapy15/titanic", "kernel_id": "10442086"}, {"ref": "benlewis08/getting-started-with-titanic-bl", "kernel_id": "10384082"}, {"ref": "jeanmichelleite/fist-attempt", "kernel_id": "10693448"}, {"ref": "hadrianhughes/titanic-challenge", "kernel_id": "10396821"}, {"ref": "yahatatomoki/kernel4d1d9c0232", "kernel_id": "10412758"}, {"ref": "yahatatomoki/kernel39a1cc9630", "kernel_id": "10413261"}, {"ref": "unnppipi/kernel203d747d18", "kernel_id": "10388929"}, {"ref": "shamoshamosishamo/kernel137a92a023", "kernel_id": "10389757"}, {"ref": "chinmochi/kernel172338ec5a", "kernel_id": "10392036"}, {"ref": "sosukenakano/kernel10f0f4f82b", "kernel_id": "10389751"}, {"ref": "sosukenakano/kernel260ca49669", "kernel_id": "10407963"}, {"ref": "tomokiminami/kernel552fb6cb7c", "kernel_id": "10431911"}, {"ref": "rinseii/kernel73c3f0c279", "kernel_id": "10392451"}, {"ref": "syoyanakajima0428/kernel57bb46d858", "kernel_id": "10394646"}, {"ref": "abheernarula/kernel6415d1fe4e", "kernel_id": "10473301"}, {"ref": "tsutsutsu/kernel4546be7c7a", "kernel_id": "10398183"}, {"ref": "soutaroumaeda/kernel739c801e18", "kernel_id": "10398960"}, {"ref": "masudanaoki/kernel647c5d3129", "kernel_id": "10400191"}, {"ref": "poyochan/kernel553b64a317", "kernel_id": "10411604"}, {"ref": "rahulsingla5209/titaniccompetition-random-forest", "kernel_id": "10413515"}, {"ref": "chonhi/kernel354e2747c9", "kernel_id": "10411832"}, {"ref": "hamabekenji/kernel6dd6f09932", "kernel_id": "10412379"}, {"ref": "mehmetbabur/mbabur-eda", "kernel_id": "10957541"}, {"ref": "rikuohashimoto/kernel1139e7c266", "kernel_id": "10651186"}, {"ref": "stanleyhua/titanic", "kernel_id": "10547864"}, {"ref": "claytonforsee/titanic-python", "kernel_id": "10678211"}, {"ref": "yumiyamagami/kernel6448de1a61", "kernel_id": "10431897"}, {"ref": "kenntasugimotooo/kernel956adfd41e", "kernel_id": "10432109"}, {"ref": "ymdtnk/kernelb9866d054b", "kernel_id": "10429532"}, {"ref": "koukiharada/kernel72d2c98d43", "kernel_id": "10431693"}, {"ref": "fujiwaramayu/kernel75498e5535", "kernel_id": "10464915"}, {"ref": "fujiwaramayu/kernel7e0ae3fb50", "kernel_id": "10465376"}, {"ref": "jakharrahul000/titanic", "kernel_id": "10436990"}, {"ref": "julianbenny/titanic-logistic", "kernel_id": "10718395"}, {"ref": "kosukemanano/kernel38cfdbff70", "kernel_id": "10436678"}, {"ref": "souvikx2/titanic-survival-prediction-using-random-forest", "kernel_id": "10999108"}, {"ref": "kiriyama/kernel575a5a9b76", "kernel_id": "10446016"}, {"ref": "yumakomoto/kernel192e09e86b", "kernel_id": "10445935"}, {"ref": "sgilgames/kerneled5a921457", "kernel_id": "10446644"}, {"ref": "kenichisato/kernel17a6b92f7e", "kernel_id": "10446589"}, {"ref": "sugimotokenya/kernel23932ca216", "kernel_id": "10447392"}, {"ref": "sugimotokenya/kernel2b3b70c74f", "kernel_id": "10447984"}, {"ref": "ryokiyohara/kernel41898c1d6a", "kernel_id": "10447553"}, {"ref": "zoumenglu/kernel3144147475", "kernel_id": "10450424"}, {"ref": "hanyuyu62/kernel6214d7b93e", "kernel_id": "10450585"}, {"ref": "sebastiengclaro/kaggle-titanic", "kernel_id": "10450127"}, {"ref": "ryutakoishi/kernel303d4bd42b", "kernel_id": "10450279"}, {"ref": "ryutakoishi/kernel726d228659", "kernel_id": "10452132"}, {"ref": "minami11/kernel226949e65f", "kernel_id": "10464464"}, {"ref": "koki1234/kernel2574234b39", "kernel_id": "10451449"}, {"ref": "fsluis/titanic", "kernel_id": "10451908"}, {"ref": "nakayamayusuke/kernel7439900a1c", "kernel_id": "10454008"}, {"ref": "nakayamayusuke/kernel396f80610d", "kernel_id": "10455197"}, {"ref": "hyacinthyang/kernel7b37c8d655", "kernel_id": "10460228"}, {"ref": "suguruu/kernel7850fba127", "kernel_id": "10457697"}, {"ref": "odasatomi7777777/kernel3b6aabf811", "kernel_id": "10458733"}, {"ref": "futaba/kernel5d36d13579", "kernel_id": "10458716"}, {"ref": "nkyuta924/kernel5738233a6a", "kernel_id": "10460687"}, {"ref": "murakamikazuaki/kernel50c3eedba5", "kernel_id": "10463167"}, {"ref": "miyoshimasatoshi/kernel4e9bd10764", "kernel_id": "10463855"}, {"ref": "keiichiroh/kernel25597c297b", "kernel_id": "10463919"}, {"ref": "yujiyamauchi/kernel758faa9c8c", "kernel_id": "10464469"}, {"ref": "takutokobayashi/kernel6ab87a922e", "kernel_id": "10465035"}, {"ref": "ikepeanuts/kernel3df9a2fa20", "kernel_id": "10465682"}, {"ref": "yukikoge/upura-kaggle-tutorial-02-overview", "kernel_id": "10933826"}, {"ref": "rudramanisingha/titanic-survival-prediction", "kernel_id": "10517934"}, {"ref": "youssefannaki/titanic-model-prediction", "kernel_id": "10548717"}, {"ref": "risingds/titanic-neural-network-score-79", "kernel_id": "10924830"}, {"ref": "risingds/titanic-logistic-regression-score-78", "kernel_id": "10835914"}, {"ref": "minnieliang/titanic-xgboost-model-0-78468", "kernel_id": "10872841"}, {"ref": "miguelrosales/titanic-3", "kernel_id": "10601145"}, {"ref": "burakketen/titanic-eda", "kernel_id": "10792607"}, {"ref": "divyosmi2009/titanic", "kernel_id": "10532977"}, {"ref": "iamrahul404/titanic-survival-prediction", "kernel_id": "10532068"}, {"ref": "marcosdepaulaunivesp/making-predictions-with-titanic-data-set-pycaret", "kernel_id": "10507211"}, {"ref": "muhammadumerzia/kernel557e91ff1e", "kernel_id": "10554711"}, {"ref": "kamiljan/kernel27e230cb3a", "kernel_id": "10708237"}, {"ref": "deipakksati/titanic-prediction-with-multiple-model", "kernel_id": "10705719"}, {"ref": "rishabhsood02/basic-keras-implementation", "kernel_id": "10524410"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-07", "kernel_id": "10738388"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-08", "kernel_id": "10738931"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-06", "kernel_id": "10738150"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-05", "kernel_id": "10737904"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-02", "kernel_id": "10679622"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-01", "kernel_id": "10679181"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-03", "kernel_id": "10679815"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-04", "kernel_id": "10680278"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-02-sutra-practice", "kernel_id": "10773630"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-06-sutra-practice", "kernel_id": "10827200"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-05-sutra-practice", "kernel_id": "10825445"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-04-sutra-practice", "kernel_id": "10807355"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-03-sutra-practice", "kernel_id": "10806393"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-08-sutra-practice", "kernel_id": "10847961"}, {"ref": "yutohisamatsu/python-kaggle-start-book-ch02-07-sutra-practice", "kernel_id": "10844353"}, {"ref": "anisiaklimenko/kernel7b6f57e579", "kernel_id": "10560874"}, {"ref": "anisiaklimenko/kernel56cc78453f", "kernel_id": "10560836"}, {"ref": "pierrearti/titanic-with-random-forest-model", "kernel_id": "10631051"}, {"ref": "kasevgen/titanic-ensemble-hard-and-soft-voting-0-78947", "kernel_id": "10536929"}, {"ref": "michellehamada/titanic-beginner-feedback-is-helpful-d", "kernel_id": "10943181"}, {"ref": "sameersingh150618/kernel171fdfcc2a", "kernel_id": "10531374"}, {"ref": "vpawar8086/titanic", "kernel_id": "10574717"}, {"ref": "kseniakudryavtseva/kudryavtseva-it-319-titanik", "kernel_id": "10973065"}, {"ref": "mehmetates/mehmet-ate-zer-titanic-eda", "kernel_id": "10732730"}, {"ref": "shreyasvedpathak/titanic-survival-prediction-top-4", "kernel_id": "10982918"}, {"ref": "rudsam/getting-started-with-titanic", "kernel_id": "10579474"}, {"ref": "sagardhandare/titanic-solution-01", "kernel_id": "10957551"}, {"ref": "cacciella/datascience-titanic", "kernel_id": "10582976"}, {"ref": "janninga/starting-with-titanic", "kernel_id": "10577883"}, {"ref": "franciscofiguerez/titanic-basic-visualized-tree", "kernel_id": "10669815"}, {"ref": "vet516lec/titanic-lgbm-xgboost-parameter-tuning", "kernel_id": "10580077"}, {"ref": "vishukaushik/random-forest", "kernel_id": "10585216"}, {"ref": "rohitkaushik23/random-forest", "kernel_id": "10585604"}, {"ref": "dishantsr/titanic-survival-prediction", "kernel_id": "10755486"}, {"ref": "harshitsharma45/titanic-predictions", "kernel_id": "10971954"}, {"ref": "kkrobot/kernel63a4756d4e", "kernel_id": "10699253"}, {"ref": "arcticai/titanic-shipwreck-survival-prediction", "kernel_id": "10903011"}, {"ref": "rishimukunthant/titanic-dataset-with-ann", "kernel_id": "10608064"}, {"ref": "sanyamagg20/my-first-sol", "kernel_id": "10609432"}, {"ref": "vandanavadigacherla/python-eda-and-visualization", "kernel_id": "10610780"}, {"ref": "taebaekhwang/titanic-20-07-26", "kernel_id": "10870234"}, {"ref": "ibrahimnofal/titanic-ml-ds", "kernel_id": "10690543"}, {"ref": "gargiverma15/kernel712ae3257f", "kernel_id": "10922175"}, {"ref": "hammaadali/titanic-easy-model-0-82-score-top-3", "kernel_id": "10630994"}, {"ref": "patrycjawalicka/r-titanic-logistic-regression", "kernel_id": "10634253"}, {"ref": "patrycjawalicka/r-titanic-decision-tree-classification", "kernel_id": "10653960"}, {"ref": "patrycjawalicka/r-titanic-k-nearest-neighbors-knn", "kernel_id": "10673715"}, {"ref": "patrycjawalicka/r-titanic-support-vector-machine-svm", "kernel_id": "10701057"}, {"ref": "patrycjawalicka/r-titanic-random-forest-classification", "kernel_id": "10701780"}, {"ref": "patrycjawalicka/r-titanic-naive-bayes", "kernel_id": "10701583"}, {"ref": "jasony96/fork-of-a-data-science-framework-to-achieve-99-a", "kernel_id": "10640144"}, {"ref": "azizar/titanic-basic-data-analysis", "kernel_id": "10948448"}, {"ref": "kogamiyatake/kernel726d228659", "kernel_id": "10634789"}, {"ref": "mouseoveryou/getting-started-with-titanic", "kernel_id": "10636183"}, {"ref": "vijayakishoredusi/titanic-kaggle-competition", "kernel_id": "10770881"}, {"ref": "vijayakishoredusi/my-first-submissions", "kernel_id": "10812442"}, {"ref": "qroshi/kernel50c62bfc4e", "kernel_id": "10690019"}, {"ref": "ynbayu/titanic", "kernel_id": "10697176"}, {"ref": "ramsyzz/titanic-disaster", "kernel_id": "10896676"}, {"ref": "anushreechaturvedi/titanic-survival-predictions-beginner", "kernel_id": "10661453"}, {"ref": "koyamasyotaro/kernel721209e33a", "kernel_id": "10664124"}, {"ref": "byul1004/titanic-data-analysis-2020-11-12", "kernel_id": "10812109"}, {"ref": "liuxinxing/kernel44dd805e33", "kernel_id": "10677992"}, {"ref": "yuichiroaoki/getting-started-with-titanic", "kernel_id": "10787557"}, {"ref": "felipevazquez/titanic-beginner-s-guide-with-sklearn", "kernel_id": "10766509"}, {"ref": "muhammedenes/titanic-eda", "kernel_id": "10912029"}, {"ref": "lytwwww/kernel2e6dfb6f5a", "kernel_id": "10826466"}, {"ref": "trevorsmith325/exploring-the-titanic-data-set", "kernel_id": "10805856"}, {"ref": "agathokakologicalbit/kernel75b84111e6", "kernel_id": "10709929"}, {"ref": "datawarriors/easy-beginner-titanic-solution", "kernel_id": "10883006"}, {"ref": "ncolaspfeifer/titanic-1", "kernel_id": "10710431"}, {"ref": "samarpratap/titanic-data-science-solutions", "kernel_id": "10808533"}, {"ref": "aminey/titanic-study", "kernel_id": "10937722"}, {"ref": "hinamimi/adkkhn-h-baseline", "kernel_id": "10963834"}, {"ref": "vikasukani/titanic-machine-learning-from-disaster", "kernel_id": "10998934"}, {"ref": "elizavetalaptinova/kernel603b7cdc67", "kernel_id": "10726889"}, {"ref": "ulekht/kernel32c5dc7944", "kernel_id": "10726946"}, {"ref": "elenagulevskaya/gulevskayaelena-20200601-misis", "kernel_id": "10731450"}, {"ref": "seregafromrussia2/titanic-kernel-bivt-18-2", "kernel_id": "10776927"}, {"ref": "oldbigboss/kernel1b3297137b", "kernel_id": "10730300"}, {"ref": "saxumcordis/kernel6f0fc121a3", "kernel_id": "10730787"}, {"ref": "themooor/kernel1b3297137b", "kernel_id": "10731130"}, {"ref": "maurogome/titanic-departure", "kernel_id": "10823441"}, {"ref": "pythonbratty/titanic-rapid-training-log-regression", "kernel_id": "10771678"}, {"ref": "umerkk12/deep-learning-with-artificial-neural-network", "kernel_id": "10873442"}, {"ref": "souyawatanabe/kernel48e50f4662", "kernel_id": "10794043"}, {"ref": "alexandersmetanin/titanic-data", "kernel_id": "10901275"}, {"ref": "andrewnguyen5040/titanic-data-set", "kernel_id": "10765607"}, {"ref": "rachanvamsi/titanic-surivivor-prediction", "kernel_id": "10801223"}, {"ref": "akellasrilekha/titanic-top-4-with-ensemble-modeling", "kernel_id": "10774020"}, {"ref": "aksa1111/titanic-prediction-using-logit", "kernel_id": "10867597"}, {"ref": "onurbaris/titanic-dataset-neural-network-hyperparameter", "kernel_id": "10794724"}, {"ref": "quikcser/kernel5f34fd4c60", "kernel_id": "10779898"}, {"ref": "kazikicherio/kernel6b9ce3ae18", "kernel_id": "10866623"}, {"ref": "sonichigo/kernel3bf20c8878", "kernel_id": "10900594"}, {"ref": "tejasrigururaj/titanic-rf", "kernel_id": "10997529"}, {"ref": "sghosh1995/ann-titanic-data", "kernel_id": "10835943"}, {"ref": "vlsimple/titanic-2", "kernel_id": "10925483"}, {"ref": "vlsimple/getting-started-with-titanic", "kernel_id": "10888890"}, {"ref": "jorgeriesco/titanic-r", "kernel_id": "10891105"}, {"ref": "orblat/titanic-ml-or-blatt", "kernel_id": "10819153"}, {"ref": "anna435/kernel5af9401b4c", "kernel_id": "10820558"}, {"ref": "dariakobysheva/for-my-practice", "kernel_id": "10820640"}, {"ref": "alksiklpv/titanic-classic-ml", "kernel_id": "10922658"}, {"ref": "asyotricia/asyotr-s-homework", "kernel_id": "10826569"}, {"ref": "eunjungbeak/3-titanic-tutorial-for-study-200514", "kernel_id": "10948495"}, {"ref": "ugocarotti/titanic-multiple-classifiers-solution-78", "kernel_id": "10949171"}, {"ref": "namraquasim/kernel122e969a6d", "kernel_id": "10920807"}, {"ref": "romanbezaev/firsttryever", "kernel_id": "10918520"}, {"ref": "ahmedfouad77/kernel6caa30e43d", "kernel_id": "10957873"}, {"ref": "bidoboy/kernel186314aa3f", "kernel_id": "10855881"}, {"ref": "themlphdstudent/titanic-eda", "kernel_id": "10985788"}, {"ref": "zhangzhehao/kernel2664f45765", "kernel_id": "10996227"}, {"ref": "mfadhli/kernel3a1a62e621", "kernel_id": "10908706"}, {"ref": "kshishashish/fork-of-titanic-other-models", "kernel_id": "10891209"}, {"ref": "kshishashish/fork-of-titanic-logistic-regression-experimental", "kernel_id": "10891449"}, {"ref": "kshishashish/titanic-logistic-regression", "kernel_id": "10874757"}, {"ref": "insupsong/titanic-tutorial-for-beginners-2020", "kernel_id": "10864597"}, {"ref": "polyago/pract-20", "kernel_id": "10883042"}, {"ref": "prakirthgovardhanam/titanic-survivor-pipelinemodel", "kernel_id": "10941843"}, {"ref": "ineelhere/titanic-competition", "kernel_id": "10898881"}, {"ref": "akidon/titanictest", "kernel_id": "10894295"}, {"ref": "rentakano/titanic-test", "kernel_id": "10894240"}, {"ref": "chengbufan/kernel12f7284f19", "kernel_id": "10894264"}, {"ref": "johnmichaelsantos/titanic-machine-learning-competition", "kernel_id": "10944149"}, {"ref": "saianish9999/machine-learning-from-disaster", "kernel_id": "10938117"}, {"ref": "janyabreeden/starting-the-titanic-problem", "kernel_id": "10927380"}, {"ref": "hajimetch/titanic-exercise-beginner", "kernel_id": "10921070"}, {"ref": "tecnologiamorpheus/morpheus-titanic-v01", "kernel_id": "10925796"}, {"ref": "ayeletdekel/getting-started-with-titanic-ayeletd", "kernel_id": "10953554"}, {"ref": "dinara2325/dinara-s-notebook", "kernel_id": "10948554"}, {"ref": "shadowtime2000/titanic-perceptron", "kernel_id": "10974538"}, {"ref": "debobratadutta/debu-titanic-survive-task", "kernel_id": "10987934"}, {"ref": "yashsomkuwar/getting-started-with-kaggle", "kernel_id": "10969091"}, {"ref": "wangmingwei/tatanic-test", "kernel_id": "10969371"}, {"ref": "nadiaayuningputri/lomba-titanic-dengan-logistic-regression", "kernel_id": "10978892"}, {"ref": "kafeelchanel/lomba-titanic-dengan-logistik-regression", "kernel_id": "10978891"}, {"ref": "valdidarian/lomba-titanic-dengan-logistic-regression", "kernel_id": "10978896"}, {"ref": "joeytribianni/kernel225a27e563", "kernel_id": "10989153"}, {"ref": "pedrodematos/titanic-a-complete-approach-for-data-scientists", "kernel_id": "10991161"}, {"ref": "cinthyavergara/titanic-intro-to-kaggle-competition-ejemplo-knn", "kernel_id": "11798466"}, {"ref": "cinthyavergara/modelo-para-titanic-mini-tutorial-en-espa-ol", "kernel_id": "11889810"}, {"ref": "aamirhussain/cheatsheet-text-helper-functions", "kernel_id": "11434432"}, {"ref": "aamirhussain/comprehensive-feature-engineering-tutorial", "kernel_id": "11434436"}, {"ref": "hrushikeshm/model-training-introduction", "kernel_id": "11931743"}, {"ref": "fchollet/titanic-keras-kerastuner-best-practices", "kernel_id": "11201299"}, {"ref": "ryati131457/titanic-unsupervised-kmeans", "kernel_id": "11644333"}, {"ref": "pearlveera/survival-initial-model", "kernel_id": "11111660"}, {"ref": "subbuvolvosekar/ml-classification-algorithms-titanic", "kernel_id": "11230616"}, {"ref": "sophieb/basic-visualizations-in-pandas-and-seaborn", "kernel_id": "11508036"}, {"ref": "vanausloos/orsys-bid-data-preparation-by-xavier-van-ausloos", "kernel_id": "11983326"}, {"ref": "yasuosaito/titanic-eda-and-decision-tree", "kernel_id": "11395448"}, {"ref": "yasuosaito/titanic-random-forest-classification", "kernel_id": "11312155"}, {"ref": "yasuosaito/titanic-tutorial", "kernel_id": "11308257"}, {"ref": "akashram/automl-what-and-how", "kernel_id": "11052279"}, {"ref": "akashram/automl-overview-added-pycaret-hyperopt", "kernel_id": "11233635"}, {"ref": "mancysaxena/titanic-dataset-hello-world-of-ml", "kernel_id": "11436872"}, {"ref": "vennaa/cheatsheet-100-plotly-part-1-basic-f1ffed", "kernel_id": "11687659"}, {"ref": "fermat1/my-first-titanic-notebook-thoughts-from-a-novice", "kernel_id": "11211898"}, {"ref": "stautxie/titanic-tidymodels-v1", "kernel_id": "11070305"}, {"ref": "marcosvrrs/meu-barco-titanic", "kernel_id": "11403201"}, {"ref": "srinag/titanic-survival-prediction", "kernel_id": "11107283"}, {"ref": "srikanthmg/simple", "kernel_id": "11898091"}, {"ref": "aanchal204/cheatsheet-pygal-interactive-plots", "kernel_id": "11447099"}, {"ref": "satyads/post-pruned-decision-trees", "kernel_id": "11705038"}, {"ref": "satyads/inspecting-data-using-python-titanic", "kernel_id": "11445120"}, {"ref": "mirandora/titanic-tutorial-code", "kernel_id": "11664608"}, {"ref": "romandovega/titanic-eda-leveraging-tableau-analyst-titanic", "kernel_id": "11103611"}, {"ref": "hapadai/titanic-tutorial-for-beginners-2020", "kernel_id": "11918319"}, {"ref": "yashudua/titanic-eda-feature-engineering-prediction", "kernel_id": "11748875"}, {"ref": "thekazagami/getting-started-with-titanic", "kernel_id": "11891109"}, {"ref": "cv13j0/exploring-titanic-survival-probabilities", "kernel_id": "11713693"}, {"ref": "rsesha/comparing-autoviml-to-pycaret-multiple-data", "kernel_id": "11375105"}, {"ref": "bauyrjanj/titanic-gradientboosting", "kernel_id": "11546192"}, {"ref": "masumrumi/a-pyspark-tutorial-with-titanic", "kernel_id": "11311600"}, {"ref": "espressofx/22p22c0480-weerasak-w2hw2-27092020", "kernel_id": "11980902"}, {"ref": "itslisu/titanicdataset", "kernel_id": "11971541"}, {"ref": "isaienkov/top-3-efficient-ensembling-in-few-lines-of-code", "kernel_id": "11118221"}, {"ref": "isaienkov/keras-neural-network-architecture-optimization", "kernel_id": "11616439"}, {"ref": "doradora09/20200826-titanic-my-gender-model-submittion", "kernel_id": "11376552"}, {"ref": "tanushri0609/titanic", "kernel_id": "11114434"}, {"ref": "yoannboyere/titanic-classifier", "kernel_id": "11763506"}, {"ref": "putnam14/messing-around-with-the-titanic", "kernel_id": "11394327"}, {"ref": "hboro123/titanic-dataset-using-various-models", "kernel_id": "11091580"}, {"ref": "zagarsuren/titanic-demo", "kernel_id": "11666068"}, {"ref": "shams1/continuing-with-titanic-shotgun-approach", "kernel_id": "11305551"}, {"ref": "chapalajay/titanic-ml-from-disaster", "kernel_id": "11705735"}, {"ref": "sisirpatnaik/getting-started-with-titanic", "kernel_id": "11052284"}, {"ref": "asumi333/python-kaggle-start-book-ch02-01", "kernel_id": "11590396"}, {"ref": "aliphya/getting-started-with-titanic-again", "kernel_id": "11323087"}, {"ref": "balaji93/titanic-using-neural-nets-no-feature-engineering", "kernel_id": "11445989"}, {"ref": "currypurin/notebook-202008", "kernel_id": "11091224"}, {"ref": "currypurin/tutorial-of-kaggle-ver4-optuna-importance", "kernel_id": "11004615"}, {"ref": "josequinonez/titanic-using-knn-81-57-accuracy", "kernel_id": "11419709"}, {"ref": "mehmettezcan/titanic-data-analysis", "kernel_id": "11221615"}, {"ref": "mmaxon/my-first-kaggle-notebook-complete-analysis", "kernel_id": "11368656"}, {"ref": "carstenstann/titanic-logistic-regression", "kernel_id": "11812347"}, {"ref": "infof4221wang/top2-0-808612-featureengineer-optuna-treemodel", "kernel_id": "11391142"}, {"ref": "nikhileshkos/titanic-disaster-prediction-80-acc", "kernel_id": "11159619"}, {"ref": "carefree0910/titanic-neural-networks-made-easy-with-cflearn", "kernel_id": "11217180"}, {"ref": "agnibesh1988/titanic-model", "kernel_id": "11239040"}, {"ref": "stormchaser/datascience", "kernel_id": "11620317"}, {"ref": "nischallal/titanic-eda", "kernel_id": "11338313"}, {"ref": "juandados/titanic-model", "kernel_id": "11685234"}, {"ref": "shouvik42/titanic-eda", "kernel_id": "11745750"}, {"ref": "kayademirs/titanic", "kernel_id": "11362082"}, {"ref": "limcorp/titanic", "kernel_id": "11491980"}, {"ref": "drorlederman/my-titanic-1", "kernel_id": "11731522"}, {"ref": "drorlederman/my-titanic-2", "kernel_id": "11731547"}, {"ref": "andrewnuk/over-80-score", "kernel_id": "11216396"}, {"ref": "scatteredflo/fork-of-2-titanic-feature-engineering", "kernel_id": "11060367"}, {"ref": "scatteredflo/2-titanic-feature-engineering", "kernel_id": "11059840"}, {"ref": "scatteredflo/titanic-feature-engineering", "kernel_id": "11045926"}, {"ref": "rishavbhurtel/random-forest-with-hyperparameter-tuning", "kernel_id": "11141550"}, {"ref": "galipsekeroglu/votingclassifier-explainableai-xai-paramopt-eda", "kernel_id": "11938466"}, {"ref": "mad444/titanic-comp-eda", "kernel_id": "11793064"}, {"ref": "kylemcconnell/titanic-notebook", "kernel_id": "11339935"}, {"ref": "javendano585/first-notebook-titanic-survival", "kernel_id": "11358553"}, {"ref": "janael/titanic", "kernel_id": "11263212"}, {"ref": "rajshukla4696/titanic-survival", "kernel_id": "11433514"}, {"ref": "neerajachekka/titanic-a-complete-approach", "kernel_id": "11788199"}, {"ref": "varunhawk19/test-notebook", "kernel_id": "11282325"}, {"ref": "pulkit21aug/titanic-journey-of-survival-prediction", "kernel_id": "11398680"}, {"ref": "girish03/titanic-survival-random-forest-0-77990-accuracy", "kernel_id": "11707321"}, {"ref": "pokekarat/titanic-logistic-regression-week5-6", "kernel_id": "11479936"}, {"ref": "kurianbenoy/chai-edasession-titanic", "kernel_id": "11103717"}, {"ref": "juuhclemente/titanic-with-r-v2", "kernel_id": "11386247"}, {"ref": "bununtadiresmenmor/basic-neural-networks", "kernel_id": "11520128"}, {"ref": "shreeshdhavle/titanic-classification-xgb", "kernel_id": "11255486"}, {"ref": "mmaeda1968/notebookf947b5672c", "kernel_id": "11880675"}, {"ref": "pallavwallia/titanic", "kernel_id": "11530126"}, {"ref": "poonlara/22p22w0030-w2hw2-27092020", "kernel_id": "11968041"}, {"ref": "kkkermit/titanic-extensive-eda-leads-to-higher-scores", "kernel_id": "11581332"}, {"ref": "massyue/hands-on-vol7-answer", "kernel_id": "11760422"}, {"ref": "massyue/hands-on-vol7-qestion", "kernel_id": "11700491"}, {"ref": "graphicgod/22p22c0829-hw2w2-27092020", "kernel_id": "11964651"}, {"ref": "robottesla/hello-world-kaggle", "kernel_id": "11052162"}, {"ref": "cubbic/titanic", "kernel_id": "11470349"}, {"ref": "hitesh1724/titanic-1-fastai-beginner-tutorial", "kernel_id": "11548643"}, {"ref": "renesis88/titanic-autogluon-lb-0-80143", "kernel_id": "11151877"}, {"ref": "omertalha/my-titanic-eda", "kernel_id": "11081005"}, {"ref": "shivamkc/titanic-dataset-expt-with-xgboost-default-params", "kernel_id": "11490870"}, {"ref": "nsj2018/supervised-learning-classification-titanic", "kernel_id": "11198426"}, {"ref": "venciso/titanic-tidymodels", "kernel_id": "11422073"}, {"ref": "marcellosusanto/encoder-benchmark-on-titanic", "kernel_id": "11426718"}, {"ref": "hussainali2005/titanic-survivor-predictions", "kernel_id": "11087882"}, {"ref": "sishihara/the-effect-of-limit", "kernel_id": "11326142"}, {"ref": "sishihara/kaggle-titanic-all-zero", "kernel_id": "11104150"}, {"ref": "sishihara/change-optuna-search-ranges", "kernel_id": "11546397"}, {"ref": "sishihara/check-optuna-study-history", "kernel_id": "11546276"}, {"ref": "sishihara/use-optuna-2-0-0", "kernel_id": "11546315"}, {"ref": "sishihara/check-optuna-import-in-the-latest-env", "kernel_id": "11971559"}, {"ref": "nlmaas/nlmaas-titanic-nb", "kernel_id": "11464441"}, {"ref": "alaapdhall/most-comprehensive-guide-to-a-ds-framework", "kernel_id": "11936282"}, {"ref": "gokhyk/titanic-0-78468", "kernel_id": "11257395"}, {"ref": "krupani8/kaggle-titanic-challenge-scikit-learn-top-15", "kernel_id": "11704339"}, {"ref": "gokriznastic/just-another-titanic-eda", "kernel_id": "11688415"}, {"ref": "shaunthesheep/titanic-disaster-who-survived", "kernel_id": "11471818"}, {"ref": "jhoey1234/titanic-survival-prediction-project", "kernel_id": "11043018"}, {"ref": "rabbits/titanic-survived-model", "kernel_id": "11249440"}, {"ref": "ravels1991/titanic-with-pytorch-and-skorch-score-0-78", "kernel_id": "11101836"}, {"ref": "samruddhim/titanic-survival-prediction", "kernel_id": "11257415"}, {"ref": "nitsin/data-analysis-process-titanic-example", "kernel_id": "11971549"}, {"ref": "basakbuluz/titanic-data-science-solutions", "kernel_id": "11560363"}, {"ref": "aviralpathak/titanic-dataset-eda-and-98-accuracy", "kernel_id": "11218780"}, {"ref": "ankur123xyz/quick-modelling-using-pycaret-and-plotly-express", "kernel_id": "11727914"}, {"ref": "remitejo/titanicsurvivor", "kernel_id": "11239817"}, {"ref": "dongr0510/pytorch-starter", "kernel_id": "11832045"}, {"ref": "akramnarejo/titanic-survival-predictions-with-easy-approach", "kernel_id": "11196065"}, {"ref": "abh8017/eda-using-pandas-profiler", "kernel_id": "11618577"}, {"ref": "leodaniel/kaggle-titanic-survivors", "kernel_id": "11004755"}, {"ref": "anmolkumar/titanic-survival-prediction-public-lb-0-77", "kernel_id": "11004885"}, {"ref": "poojavijaykumar/xml-titanic", "kernel_id": "11614009"}, {"ref": "tatatatata/titanic", "kernel_id": "11990875"}, {"ref": "grilovitor/introdu-o-em-t-cnicas-de-predi-o", "kernel_id": "11164488"}, {"ref": "aditi81k/titanic-prediction-using-pycaret", "kernel_id": "11198692"}, {"ref": "ashuprasadgermany/titanic-notebook", "kernel_id": "11221604"}, {"ref": "picrik/svm-knn-gridsearch-titanic", "kernel_id": "11969782"}, {"ref": "celsomattheus/my-titanic-try", "kernel_id": "11371206"}, {"ref": "pepekalo/titanic-eda-to-ml-beginner", "kernel_id": "11927601"}, {"ref": "dcshah/titanic-survival-prediction-and-eda", "kernel_id": "11568144"}, {"ref": "alpamys/titanic-kaggle-v1", "kernel_id": "11384482"}, {"ref": "amritvirsinghx/eda-basics-interpreting-plots", "kernel_id": "11098592"}, {"ref": "amritvirsinghx/eda-basics-handling-skewed-data", "kernel_id": "11086514"}, {"ref": "amritvirsinghx/eda-basics-catplot-previously-factorplot", "kernel_id": "11070286"}, {"ref": "amritvirsinghx/creating-machine-learning-pipelines-on-big-data", "kernel_id": "11955877"}, {"ref": "amritvirsinghx/scalable-data-science-pyspark-dataframes-nb2", "kernel_id": "11918885"}, {"ref": "amritvirsinghx/scalable-data-science-pyspark-core-rdd", "kernel_id": "11941091"}, {"ref": "amritvirsinghx/scalable-data-science-pyspark-dataframes-nb1", "kernel_id": "11843303"}, {"ref": "akashsuper2000/titanic-a-fods-case-study", "kernel_id": "11693028"}, {"ref": "buzzinga007/data-preprocessing-and-grid-search-on-the-titanic", "kernel_id": "11013991"}, {"ref": "lucashsmello/simple-decision-tree-titanic", "kernel_id": "11311839"}, {"ref": "ravijgd/titanic-eda-with-ml", "kernel_id": "11333931"}, {"ref": "loveyoutoo/titanic-assessment", "kernel_id": "11918227"}, {"ref": "canamika27/titanic-survive-or-not", "kernel_id": "11093057"}, {"ref": "zacharyboeder/titanic-py", "kernel_id": "11151062"}, {"ref": "zacharyboeder/titanic-r", "kernel_id": "11185836"}, {"ref": "amethyst1012/basic-neural-networks", "kernel_id": "11540985"}, {"ref": "anith88/titanic-randomforest", "kernel_id": "11435032"}, {"ref": "arunkr1/titanic-first-contest", "kernel_id": "11456593"}, {"ref": "cavalryjim/titanic-1", "kernel_id": "11156233"}, {"ref": "cavalryjim/titanic-2", "kernel_id": "11157693"}, {"ref": "neil001/titanic-disaster-machinelearning", "kernel_id": "11687349"}, {"ref": "medyasun/almira-proje", "kernel_id": "11276148"}, {"ref": "bhaskar47/upgraded-titanic", "kernel_id": "11477180"}, {"ref": "bhaskar47/my-titanic-book47", "kernel_id": "11357017"}, {"ref": "ozkandgn/term-deposit-prediction", "kernel_id": "11425085"}, {"ref": "govindsrathore/survivingthetitanic", "kernel_id": "11608771"}, {"ref": "roshan77/pyspark-classification-model", "kernel_id": "11312907"}, {"ref": "rahulsingh731/titanic-survival-prediction-random-forest", "kernel_id": "11076099"}, {"ref": "rahulsingh731/titanic-dataset-easy-eda-for-beginners", "kernel_id": "11071014"}, {"ref": "ibrahim45/notebook144f8db347", "kernel_id": "11701614"}, {"ref": "prakashkumar27/titanic-survival-predictions", "kernel_id": "11264463"}, {"ref": "nehalbandal/titanic-survival-prediction-ensemble-learning", "kernel_id": "11984731"}, {"ref": "abdulrahmanhassanin/titanic-ensemble-learning", "kernel_id": "11388484"}, {"ref": "mrod17/logistic-regression-classifier-no-sklearn", "kernel_id": "11563000"}, {"ref": "mrod17/titanic-classifier-competition-knn-no-sklearn", "kernel_id": "11375872"}, {"ref": "mrod17/decision-tree-without-ml-libraries", "kernel_id": "11906884"}, {"ref": "seiyatakahashi/gradientboostingclassifier", "kernel_id": "11196751"}, {"ref": "km31259/titanic-survival-prediction", "kernel_id": "11108121"}, {"ref": "zzlian/my-first-competition-in-kaggle", "kernel_id": "11283806"}, {"ref": "luanlgsf/titanic-by-ages", "kernel_id": "11486228"}, {"ref": "luanlgsf/catboost-modelling", "kernel_id": "11401168"}, {"ref": "luanlgsf/rf-and-xgboost-test", "kernel_id": "11383008"}, {"ref": "sharmaharshit426/machine-learning-algorithms-vs-neural-network", "kernel_id": "11129753"}, {"ref": "hscosta/overcome-your-baseline-first-catboost-top-6", "kernel_id": "11358235"}, {"ref": "apantazo/titanic-survived-prediction-ann-78-top-11", "kernel_id": "11197435"}, {"ref": "kalyanigupta2018/titanic-gs", "kernel_id": "11742797"}, {"ref": "hramos93/titanic-random-forest-setup-hyperparameters", "kernel_id": "11184790"}, {"ref": "prakharprasad/titanic-prediction-top-11", "kernel_id": "11536032"}, {"ref": "batprem/titanticcompetition", "kernel_id": "11744778"}, {"ref": "mhrizvi/kernel7cd7fa6499", "kernel_id": "11019556"}, {"ref": "jacksonthounaojam/titanic-data-based-solution", "kernel_id": "11518970"}, {"ref": "lailaelmahmoudi123/titanic-feature-engineeering-and-ensemble-modeling", "kernel_id": "11692633"}, {"ref": "joelta/aportatitanic-joel", "kernel_id": "11847443"}, {"ref": "presmerats/titanic-dataset-my-first-score", "kernel_id": "11631195"}, {"ref": "manthan9/titanic-manthan", "kernel_id": "11511588"}, {"ref": "mohak29/13th-sept-titanic", "kernel_id": "11707526"}, {"ref": "johanabrahamsson/titanic-survival-analysis-using-cramer-s-v", "kernel_id": "11227566"}, {"ref": "mindalatseoul/titanic-tutorial", "kernel_id": "11127649"}, {"ref": "mindalatseoul/titanic-eda-visualization-classifier", "kernel_id": "11210648"}, {"ref": "agileteam/data-preprocessing-feature-engineering-tutorial", "kernel_id": "11738732"}, {"ref": "josetony78/titanic-survival-prediction", "kernel_id": "11192721"}, {"ref": "sshikamaru/titanic-extensive-eda-and-6-models", "kernel_id": "11041807"}, {"ref": "sshikamaru/titanic-keras-neural-network", "kernel_id": "11170139"}, {"ref": "nathanamar19/titanic", "kernel_id": "11859872"}, {"ref": "sengulkrdrl/titanic-comp", "kernel_id": "11825639"}, {"ref": "vinaykakara/feature-selection-and-voting-classifier", "kernel_id": "11719494"}, {"ref": "windgoesby/titanicpredictmodel", "kernel_id": "11360067"}, {"ref": "rabiaakt/titanic-example", "kernel_id": "11901824"}, {"ref": "manavd22/titanic-lr-wordcloud-81-56", "kernel_id": "11170018"}, {"ref": "aryanfaghihi/titanic", "kernel_id": "11613149"}, {"ref": "wilderjoseth/notebook2a22323bca", "kernel_id": "11423419"}, {"ref": "doncovkonstantin/defeat-the-titanic-with-the-spark", "kernel_id": "11297516"}, {"ref": "kosukeshiihara/python-kaggle-start-book-ch02-01", "kernel_id": "11104763"}, {"ref": "g9jiggy/titanic-solution-an-approach-from-a-beginner-s", "kernel_id": "11273623"}, {"ref": "mechanicworld/titaniclearn-eda-1", "kernel_id": "11086772"}, {"ref": "pawan300/titanic-data-analysis", "kernel_id": "11436928"}, {"ref": "neomatrix369/chaieda-sessions-titanic", "kernel_id": "11093984"}, {"ref": "neomatrix369/chaieda-sessions-titanic-using-tools", "kernel_id": "11318289"}, {"ref": "abhinavjain02/naive-bayes", "kernel_id": "11511017"}, {"ref": "merveirem/titanic-notebook", "kernel_id": "11571714"}, {"ref": "ozbeysait/ozbey-titanic-eda", "kernel_id": "11424661"}, {"ref": "nabanitadasgupta/titanic-dataset-classification-by-nabanita", "kernel_id": "11906890"}, {"ref": "abhiramvaranasi/notebookbf4eb721fc", "kernel_id": "11973590"}, {"ref": "onderguzeloglu/titanic-eda", "kernel_id": "11984808"}, {"ref": "sunfax/titanic-simple", "kernel_id": "11956313"}, {"ref": "vigneshprakash/titanic-eda-and-classification-model-top-20", "kernel_id": "11841982"}, {"ref": "torsha/titanic-survival-predictions-ver1", "kernel_id": "11217834"}, {"ref": "iamacoderyeah/ensemble", "kernel_id": "11098583"}, {"ref": "nzhongahtan/feature-engineering-from-the-titanic-dataset", "kernel_id": "11455054"}, {"ref": "nzhongahtan/comparing-effect-of-extra-features-on-predictions", "kernel_id": "11645355"}, {"ref": "shenyj/kernelc6e0ce8290", "kernel_id": "11054778"}, {"ref": "brandonnova/titanic-perfect", "kernel_id": "11166838"}, {"ref": "sofuwaoo/titanic-survival-prediction", "kernel_id": "11138769"}, {"ref": "beeerus/titanic", "kernel_id": "11122723"}, {"ref": "masoodanzar/titanic-machine-learning-from-disaster", "kernel_id": "11160067"}, {"ref": "tasato/titanic-feature-eng-test", "kernel_id": "11294210"}, {"ref": "natthapach/th-super-ai-engineer-22p22c0353-w2q2", "kernel_id": "11969446"}, {"ref": "huzaifahs/titanic-challenge-solved-through-random-forest", "kernel_id": "11898283"}, {"ref": "dableuteef2/22p21c0051-q02-sep-27", "kernel_id": "11969711"}, {"ref": "acmoriarty/thorough-eda-and-data-visualization-titanic-data", "kernel_id": "11635199"}, {"ref": "kazuhito00/titanic-xgboost-using-julia-1-5-0", "kernel_id": "11091059"}, {"ref": "marinan67/stepik", "kernel_id": "11634888"}, {"ref": "lordjoedin/titanic-survivor-predictions", "kernel_id": "11088000"}, {"ref": "ajoynambiar/titanic-ml-family-based-prediction", "kernel_id": "11555252"}, {"ref": "djbacad/titanic-rf-0-77990-vs-ann-0-79965", "kernel_id": "11460046"}, {"ref": "kmldas/titanic-ml-starter-dt-rf", "kernel_id": "11799701"}, {"ref": "sude00/titanic-eda-tutorial", "kernel_id": "11341330"}, {"ref": "iamsalman2304/naive-bayes-classification-from-scratch-e76e34", "kernel_id": "11159016"}, {"ref": "priya9jha/naive-bayes-classification-from-scratch", "kernel_id": "11159922"}, {"ref": "mahimachk/naive-bayes-classification-from-scratch", "kernel_id": "11159636"}, {"ref": "aniketsingh3103/titanicworking", "kernel_id": "11800437"}, {"ref": "hakankeskin/titanic-eda-for-beginner-data-scientist", "kernel_id": "11561903"}, {"ref": "pratibhas/my-first-notebook-titanic", "kernel_id": "11395178"}, {"ref": "lordpitipat/quiz2-22p21c0282", "kernel_id": "11967756"}, {"ref": "rwx421/getting-started-predict-with-titanic-data", "kernel_id": "11325412"}, {"ref": "chrislee9407/chris-titanic", "kernel_id": "11377010"}, {"ref": "rajasen9903/ml-model-for-titanic-survival", "kernel_id": "11293729"}, {"ref": "jolly001/titanic-dataset-analysis-and-prediction", "kernel_id": "11626302"}, {"ref": "sainathkrothapalli/building-your-first-ann-using-keras-in-asimple-way", "kernel_id": "11321042"}, {"ref": "dennisbakhuis/titanic-k-nearest-neighbor-knn-frmscratch-0-813", "kernel_id": "11667833"}, {"ref": "huimin936/survived-or-decreased", "kernel_id": "11031263"}, {"ref": "esraahosny/titanic-competition-for-beginners-0-78-acc", "kernel_id": "11813898"}, {"ref": "jeljezi/titanic-analyse", "kernel_id": "11013046"}, {"ref": "zekielkatmis/titanik-eda-datai-course", "kernel_id": "11686776"}, {"ref": "sw4wpnil/titanic", "kernel_id": "11722465"}, {"ref": "janardhanpasala/titanic-incident-survival-notebook", "kernel_id": "11311605"}, {"ref": "yilmazemre/ey-titanic-eda", "kernel_id": "11388659"}, {"ref": "arnabark/titanic-optuna-catboost", "kernel_id": "11638893"}, {"ref": "ashraf90/titanic", "kernel_id": "11366521"}, {"ref": "akshat0007/sweetviz-visualization", "kernel_id": "11473303"}, {"ref": "aman56/titanic-beginners-ml", "kernel_id": "11503303"}, {"ref": "santhoshgoku/battle-of-4-models-pycaret-magic-tutorial", "kernel_id": "11235636"}, {"ref": "jekyllandhyde8999/titanic-survival-prediction-with-decision-trees", "kernel_id": "11421846"}, {"ref": "maheer/titanic-eda-submission", "kernel_id": "11373644"}, {"ref": "someshugar/titanic-eda-and-optimized-model", "kernel_id": "11836125"}, {"ref": "abdullahabid10/titanic-survival-prediction-complete-tutorial", "kernel_id": "11366424"}, {"ref": "zainaali/predict-survival-of-titanic-with-98-2-acc", "kernel_id": "11196706"}, {"ref": "brightonmajiwa/classification-titanic-dataset", "kernel_id": "11317591"}, {"ref": "emnikkhil/titanic-disaster-prediction", "kernel_id": "11821321"}, {"ref": "kumamit5/rf-model", "kernel_id": "11877811"}, {"ref": "mohmal/blend-is-simple", "kernel_id": "11556418"}, {"ref": "jiripodivin/trainingfailure", "kernel_id": "11235156"}, {"ref": "jiripodivin/titanic-with-keras", "kernel_id": "11083864"}, {"ref": "jeyakrithiga/titanic-data-analysis", "kernel_id": "11445599"}, {"ref": "ikraminf/survivor-prediction-in-titanic-dataset", "kernel_id": "11182758"}, {"ref": "akhilups/titanic-new-models", "kernel_id": "11418015"}, {"ref": "balcosandreea/machine-learning-with-titanic-beginner", "kernel_id": "11514849"}, {"ref": "cml1315750393/data-analysis-entry-of-titanic", "kernel_id": "11221301"}, {"ref": "chayan8/titanic-basic-solution-using-adaboost", "kernel_id": "11857965"}, {"ref": "yanaitti/it-s-a-very-simple-xgboost", "kernel_id": "11205679"}, {"ref": "yanaitti/how-affect-classifier-by-some-encoders", "kernel_id": "11103432"}, {"ref": "knightfire1998/kaggle-beginner-code-1-using-titanic-dataset", "kernel_id": "11238120"}, {"ref": "jhonatanluna/titanic", "kernel_id": "11527322"}, {"ref": "shrey821/titanic-survival-top-8-accuracy-of-84-29-with-rf", "kernel_id": "11378812"}, {"ref": "viveknunia/kernel339106a839", "kernel_id": "11149493"}, {"ref": "rimshadpcs/titanic-survivors-and-victims", "kernel_id": "11107008"}, {"ref": "ykhedr/titanic-first-eda", "kernel_id": "11528663"}, {"ref": "snehashukla777/titanicsurvivalprediction", "kernel_id": "11484102"}, {"ref": "priyanka25282/titanic-survival-prediction", "kernel_id": "11121884"}, {"ref": "crispim/nbtitanic", "kernel_id": "11487178"}, {"ref": "tatimm/titanic-data-analysis-and-prediction-tmm", "kernel_id": "11353121"}, {"ref": "tartakovsky/titanic-eda-hyperopt-lightgbm-no-leaks", "kernel_id": "11369035"}, {"ref": "stankdark/22p21c0307-sakan-w2hw2-27092020", "kernel_id": "11999022"}, {"ref": "rushi2693/wish-i-had-written-this-notebook-b4-the-disaster", "kernel_id": "11711135"}, {"ref": "gulshanb/titanic-solution-for-ml-disaster", "kernel_id": "11035957"}, {"ref": "amitsar/titanic-feature-engineering-model", "kernel_id": "11863631"}, {"ref": "kritikseth/titanic-survival-prediction-using-xgboost", "kernel_id": "11334828"}, {"ref": "bemaxradio/titanic-catboost-esentials", "kernel_id": "11390335"}, {"ref": "sandhyasivanandam/survivors-prediction-in-titanic", "kernel_id": "11519161"}, {"ref": "ruchi798/break-the-ice", "kernel_id": "11400975"}, {"ref": "emdemor/my-model-for-titanic-survivor-classifier", "kernel_id": "11782628"}, {"ref": "whatsthevariance/titanic-how-to-get-top-5", "kernel_id": "11455433"}, {"ref": "shivan118/pandas-100-tricks", "kernel_id": "11862157"}, {"ref": "aishu2218/titanic-disaster-machine-learning", "kernel_id": "11046485"}, {"ref": "pkmisra/methods-of-handling-missing-numerical-values", "kernel_id": "11379575"}, {"ref": "ajaynthakur/titanic-machine-learning-from-disaster", "kernel_id": "11168876"}, {"ref": "mehmetsanis/titanic-eda-mehmetsan", "kernel_id": "11824866"}, {"ref": "az1m04/taitanic", "kernel_id": "11833710"}, {"ref": "aarushg2718/a-brief-concise-guide-to-classifying-titanic-data", "kernel_id": "11376051"}, {"ref": "dtony33/titanic-disaster-dataset", "kernel_id": "11656532"}, {"ref": "adeyemiqudus/titanic-practice", "kernel_id": "11072194"}, {"ref": "skkthedreamer/titanic-survival-first-kaggle-notebook", "kernel_id": "11506981"}, {"ref": "xxxonthekillstreak/titanic-voting-classifier-keras", "kernel_id": "11936600"}, {"ref": "vasudev03/titanic", "kernel_id": "11732951"}, {"ref": "harshbisht/titanic-2", "kernel_id": "11650775"}, {"ref": "skpyahoo/titanic-survival-prediction", "kernel_id": "11001923"}, {"ref": "andrewhylee/titanic-problem-attempt-1", "kernel_id": "11339171"}, {"ref": "samarth1771/titanic-dataset-exploration-with-svc", "kernel_id": "11548504"}, {"ref": "bilgehanertan/titanic-project-bilgehan", "kernel_id": "11513158"}, {"ref": "dakshdave9/titanic-auc-92", "kernel_id": "11032573"}, {"ref": "balabaskar/titanic-80-acc-model-fairness", "kernel_id": "11093140"}, {"ref": "prashantjh/titanic-prediction", "kernel_id": "11151440"}, {"ref": "nipunarora8/titanic-the-best-algo-s", "kernel_id": "11555802"}, {"ref": "nipunarora8/titanic", "kernel_id": "11505626"}, {"ref": "mkahraman19/titanic-tutorial", "kernel_id": "11815483"}, {"ref": "shreyj1729/titanic-data", "kernel_id": "11227365"}, {"ref": "clasimoesr/getting-started-with-data-exploration-in-python", "kernel_id": "11203351"}, {"ref": "ckay16/titanic-beginner-pca-svm-rf", "kernel_id": "11028647"}, {"ref": "priyankameena/most-structured-solution-for-titanic-challenge", "kernel_id": "11423181"}, {"ref": "rashmitaroy/naive-bayes-classifier-from-scratch", "kernel_id": "11158820"}, {"ref": "maitynibedita99/naive-bayes-classification-from-scratch", "kernel_id": "11160430"}, {"ref": "mpfoley73/titanic-01-data-management", "kernel_id": "11102459"}, {"ref": "jainpooja/titanic-disaster-dataset", "kernel_id": "11600402"}, {"ref": "daspatheo/naive-bayes-classification-from-scratch", "kernel_id": "11160128"}, {"ref": "benherbertson/titanic-model-selection", "kernel_id": "11603542"}, {"ref": "benherbertson/titanic-eda", "kernel_id": "11529283"}, {"ref": "benherbertson/titanic-final-model", "kernel_id": "11743863"}, {"ref": "namanmanchanda/titanic-eda-prediction", "kernel_id": "11913501"}, {"ref": "mehmetuzelbey/notebook2c8a18e23f", "kernel_id": "11860312"}, {"ref": "emperezrodriguez/titanic-1st-kaggle-competition", "kernel_id": "11171249"}, {"ref": "viktorpopov/example-titanic", "kernel_id": "11274758"}, {"ref": "zahidfaiz/cheatsheet-100-plotly-part-1-basic-copy", "kernel_id": "11914053"}, {"ref": "nuttaset/22p21s0125-nuttaset-w2hw2-27092020", "kernel_id": "11971840"}, {"ref": "ligtfeather/knn-with-gridsearch-titanic-top-3", "kernel_id": "11019551"}, {"ref": "sinamhd9/titanic-tutorial-machine-learning-from-scratch", "kernel_id": "11929785"}, {"ref": "jcz1419275033/notebookea7710d24c", "kernel_id": "11378855"}, {"ref": "jetfreakk/getting-started-with-titanic", "kernel_id": "11608259"}, {"ref": "navinkrishnatb/getting-started-with-titanic", "kernel_id": "11616989"}, {"ref": "niksaurabh/titanic-a-to-z", "kernel_id": "11609919"}, {"ref": "rahulbajaj046/titanic-dataset-visualization-and-prediction", "kernel_id": "11319933"}, {"ref": "subbhashit/titanic-pycaret-tutorial", "kernel_id": "11612542"}, {"ref": "metehankutlu/titanic", "kernel_id": "11943861"}, {"ref": "bnymnsen/titanic-project", "kernel_id": "11735000"}, {"ref": "layyer/22p21c0022-pranpaveen-w2hw2-27092020", "kernel_id": "11991357"}, {"ref": "susanfe/custom-transformer", "kernel_id": "11076018"}, {"ref": "aakashveera/modelling-titanic", "kernel_id": "11045398"}, {"ref": "aakashveera/eda-and-feature-engineering-titanic", "kernel_id": "11044492"}, {"ref": "aquaregis32/titanic-survival", "kernel_id": "11918741"}, {"ref": "cylik93/titanic-logistic-regression-mk1", "kernel_id": "11319287"}, {"ref": "urmisen1202/eda-titanic-dataset", "kernel_id": "11312465"}, {"ref": "urmisen1202/titanic-simple-ml-ensembling-top-6", "kernel_id": "11066913"}, {"ref": "ankitapaithankar/titanic-dataset-easy-algo-good-acc", "kernel_id": "11404276"}, {"ref": "megeparlak/titanic-eda-ml", "kernel_id": "11438480"}, {"ref": "ahmadabdbutt/titanic-a-comparison-of-different-models-top-24", "kernel_id": "11382300"}, {"ref": "drnykterstein/intro-to-ensembling-and-stacking", "kernel_id": "11187153"}, {"ref": "divyamgarg12/visualization-titanic", "kernel_id": "11944122"}, {"ref": "naresh333/finding-best-model-using-automl-tool", "kernel_id": "11450940"}, {"ref": "bofangli/dealing-with-missing-values-part-1", "kernel_id": "11947956"}, {"ref": "srahul00/titanic-78-simple-model", "kernel_id": "11532724"}, {"ref": "radhika2002/titanic-survival-prediction-at-beginner-level", "kernel_id": "11109087"}, {"ref": "vipulgote4/very-easy-method-with-95-accuracy", "kernel_id": "11105663"}, {"ref": "vipulgote4/stacked-learning-method-78-accuracy", "kernel_id": "11098067"}, {"ref": "venkateshsalla/titanic-data-science-solutions", "kernel_id": "11297091"}, {"ref": "sudiptog81/titanic-survival-predictions", "kernel_id": "11496503"}, {"ref": "vishwassrivastava/titanic", "kernel_id": "11501456"}, {"ref": "mohamedharris/analysis-of-the-titanic-disaster-using-plotly", "kernel_id": "11384136"}, {"ref": "rubzzz/eda-with-plotly-and-stacking-clf", "kernel_id": "11614388"}, {"ref": "emlsand/titanic", "kernel_id": "11537435"}, {"ref": "raviet/titanic-analysis", "kernel_id": "11024636"}, {"ref": "raviet/nn-based-titanic-prediction-easy-to-understand", "kernel_id": "11215981"}, {"ref": "yuntant/getting-started-with-titanic-pytorch", "kernel_id": "11448632"}, {"ref": "rajansh87/predictions-for-titanic-survivals", "kernel_id": "11150985"}, {"ref": "sumaiyasande2494/titanic-dataset-implementing-10-classifiers", "kernel_id": "11249867"}, {"ref": "marcelof1/titanic-survival-challenge", "kernel_id": "11169467"}, {"ref": "ayushikaushik/using-sklearn-pipeline", "kernel_id": "11670832"}, {"ref": "mabalogun/hyperparameter-optimization-grid-vs-random", "kernel_id": "11897116"}, {"ref": "mabalogun/my-titanic-story-svm-with-feature-importance", "kernel_id": "11841301"}, {"ref": "jargente/titanic", "kernel_id": "11822675"}, {"ref": "durgaprasadk10/titanic-pandas-practice-seaborn-visualizations", "kernel_id": "11709420"}, {"ref": "modulo2010/using-feature-engineering-with-autogluon", "kernel_id": "11459530"}, {"ref": "amitpa19/titanic-eda-ml", "kernel_id": "11931090"}, {"ref": "camgriser/cs-7641-supervised-learning", "kernel_id": "11731024"}, {"ref": "lavanyask/titanic-passenger-classfy", "kernel_id": "11988821"}, {"ref": "dhananjaysahoo/titanic-predicting-the-survivor", "kernel_id": "11321928"}, {"ref": "tamccullough/the-titanic-sank-hopefully-this-notebook-doesn-t", "kernel_id": "11678098"}, {"ref": "shiladityajones/practice", "kernel_id": "11754329"}, {"ref": "chirantan4993/rms-titanic-interesting-insights-with-cabin", "kernel_id": "11839268"}, {"ref": "chirantan4993/rms-titanic-visualising-using-dt-rfc-knn-elbow", "kernel_id": "11726061"}, {"ref": "tamirshalev/starting-with-titanic", "kernel_id": "11292258"}, {"ref": "jingyaozhang/first-try-on-titanic", "kernel_id": "11440811"}, {"ref": "m0nika/titanic-on-tpot", "kernel_id": "11234166"}, {"ref": "nikita171096/titanic-data", "kernel_id": "11192319"}, {"ref": "kkhandekar/model-compare-fine-tuning", "kernel_id": "11057802"}, {"ref": "shuai5052/tatanic-eda-prediction", "kernel_id": "11738532"}, {"ref": "sarits/notebook41f05d30a0", "kernel_id": "11691302"}, {"ref": "ranitradas/titanic-survival-prediction", "kernel_id": "11271724"}, {"ref": "marckhi/notebook86a55eaa4f", "kernel_id": "11213249"}, {"ref": "turhancankargin/titanic-basic-eda", "kernel_id": "11108310"}, {"ref": "zombiebaloon/titanic-lr", "kernel_id": "11916336"}, {"ref": "songwonmin/for-korean-titanic-beginning", "kernel_id": "11361794"}, {"ref": "abhyudayasrivastava/titanic-test01", "kernel_id": "11449991"}, {"ref": "shunota/titanic-japanese", "kernel_id": "11364794"}, {"ref": "heisenbergrus/this-is-my-first-simple-research", "kernel_id": "11123595"}, {"ref": "charansalian/titanic-data-minimal-feature-engg-good-accuracy", "kernel_id": "11606588"}, {"ref": "rog007/titanic", "kernel_id": "11810598"}, {"ref": "shyam21/using-stacking-classifier-titanic", "kernel_id": "11387833"}, {"ref": "amrbelasy/titanic-data-science-solutions", "kernel_id": "11398770"}, {"ref": "rheadas1/titanic-sinking-of-the-unsinkable", "kernel_id": "11001197"}, {"ref": "johntharian/titanic-dataset-tutorial", "kernel_id": "11402154"}, {"ref": "nikhilkumarsinghs/titanic-tutorial-4b5787", "kernel_id": "11775552"}, {"ref": "sukheshnair/titanic-survivor-prediction-based-on-age-class", "kernel_id": "11792194"}, {"ref": "mohitsrautela/titanic-80-accuracy", "kernel_id": "11109459"}, {"ref": "leewoobin/titanic", "kernel_id": "11871566"}, {"ref": "manik100586/titanic-disaster-rf-model", "kernel_id": "11273015"}, {"ref": "elvinagammed/plotting-with-python-learn-80-plots-step-by-step", "kernel_id": "11505173"}, {"ref": "elvinagammed/download-csv-file-from-kernel-as-link-kaggle", "kernel_id": "11445859"}, {"ref": "elvinagammed/titanic-ensemble-modeling", "kernel_id": "11445559"}, {"ref": "elvinagammed/decision-tree-knn-gridsearch-90", "kernel_id": "11436823"}, {"ref": "adanma/titanic-prediction", "kernel_id": "11508450"}, {"ref": "arunmohan003/encoding-categorical-variables-tutorial", "kernel_id": "11969213"}, {"ref": "amintavakkolnia/titanic-competition", "kernel_id": "11884162"}, {"ref": "roshankumarg/titanic-classification-top-9-in-leaderboard", "kernel_id": "11191529"}, {"ref": "roshankumarg/titanic-classification-top-8-solution", "kernel_id": "11276835"}, {"ref": "hassanali99/titanice-dataset", "kernel_id": "11786346"}, {"ref": "gerlandore/titanic-investigation-and-prediction", "kernel_id": "11391723"}, {"ref": "nuka137/perfomance-cuml-vs-scikit-learn", "kernel_id": "11715935"}, {"ref": "aartiprajapati/simply-best-all-ml-models-85-accuracy", "kernel_id": "11127641"}, {"ref": "beyzanks/titanic-eda", "kernel_id": "11288037"}, {"ref": "carlmcbrideellis/titanic-some-sex-a-bit-of-class-and-a-tree", "kernel_id": "11270745"}, {"ref": "carlmcbrideellis/titanic-using-the-iterative-dichotomiser-3-id3", "kernel_id": "11290941"}, {"ref": "carlmcbrideellis/introduction-to-the-regularized-greedy-forest", "kernel_id": "11143664"}, {"ref": "carlmcbrideellis/kiss-small-and-simple-titanic-models", "kernel_id": "11416546"}, {"ref": "carlmcbrideellis/classification-using-generalized-additive-models", "kernel_id": "11496259"}, {"ref": "carlmcbrideellis/overfitting-and-underfitting-the-titanic", "kernel_id": "11732585"}, {"ref": "carlmcbrideellis/titanic-eda-in-one-line-with-pandas-profiling", "kernel_id": "11791033"}, {"ref": "carlmcbrideellis/titanic-feature-selection-permutation-importance", "kernel_id": "11800559"}, {"ref": "namanbhargava2702/titanic-eda-and-data-processing", "kernel_id": "11449172"}, {"ref": "rolmez/titanic-solution", "kernel_id": "11401791"}, {"ref": "bigboss101/titanic-solution", "kernel_id": "11484517"}, {"ref": "palaniappanraghul/titanic-dataset-prediction", "kernel_id": "11608936"}, {"ref": "simo333/titanic-3-0-xgboost", "kernel_id": "11142182"}, {"ref": "alexandrarutenberg/forecast-with-logisticregression", "kernel_id": "11599847"}, {"ref": "gizemcemileelik/titanicupschool", "kernel_id": "11614257"}, {"ref": "mahmoudatef94/titanic-end-to-end-prediction", "kernel_id": "11431320"}, {"ref": "phonratichai11/titatic-survival-classification", "kernel_id": "11996943"}, {"ref": "giorgosfoukarakis/titanic-from-eda-to-the-power-of-ensembles-top3", "kernel_id": "11321331"}, {"ref": "darshanjain29/titanic-soln-2-0-intermediate-theindiandeveloper", "kernel_id": "11348379"}, {"ref": "aniruddhapanja/titanic-survival-model", "kernel_id": "11539553"}, {"ref": "ganeshbalaji1608/handling-categorical-data-s-feature-engineering", "kernel_id": "11476376"}, {"ref": "ganeshbalaji1608/titanic-classification-using-multiple-algorithms", "kernel_id": "11478126"}, {"ref": "ganeshbalaji1608/handling-missing-numerical-features-f-e", "kernel_id": "11476700"}, {"ref": "ganeshbalaji1608/handling-outliers-feature-engieering", "kernel_id": "11477097"}, {"ref": "erkanhatipoglu/titanic-on-function-transformers-and-pipelines", "kernel_id": "11743785"}, {"ref": "erkanhatipoglu/introduction-to-sklearn-pipelines-with-titanic", "kernel_id": "11374360"}, {"ref": "joachimrives/titanic-survival-predictions", "kernel_id": "11602475"}, {"ref": "ahmetsaltik/titanic-ml-incl-eda", "kernel_id": "11686216"}, {"ref": "alistnel/alistneltitanic", "kernel_id": "11678339"}, {"ref": "roywollman/notebook-2-dataviz", "kernel_id": "11944658"}, {"ref": "roywollman/notebook-1-intro-to-r", "kernel_id": "11944452"}, {"ref": "henryashtonmartyn/titanic-lightgbm", "kernel_id": "11646037"}, {"ref": "adaxing/titanic-playground", "kernel_id": "11374662"}, {"ref": "aman2000jaiswal/real-nlp-disaster-tweets", "kernel_id": "11314223"}, {"ref": "sonha264/logistic-regression-titanic-dataset", "kernel_id": "11514000"}, {"ref": "ezeokegodswill/titanic-competition", "kernel_id": "11470212"}, {"ref": "ezeokegodswill/titanic-2", "kernel_id": "11486904"}, {"ref": "irinkravch/titanic-nb-ik", "kernel_id": "11593661"}, {"ref": "queensaikia/titanic-estimator-tuned-9-ml-algorithms", "kernel_id": "11545659"}, {"ref": "mansimeena/titanic-survival-prediction", "kernel_id": "11657472"}, {"ref": "aliwagdy/titanic-using-ml-models", "kernel_id": "11540879"}, {"ref": "abhishekprajapat/intermediate-ml", "kernel_id": "11139434"}, {"ref": "raremar/kernel7e4f2a7579", "kernel_id": "11088203"}, {"ref": "sandeepsharma90/titanic-2-comp", "kernel_id": "11590114"}, {"ref": "sametevik/titanic", "kernel_id": "11821496"}, {"ref": "nitishksingh/titanic-survival-challenge", "kernel_id": "11595780"}, {"ref": "himsim2726/eda-with-sweetviz", "kernel_id": "11271349"}, {"ref": "oscarbertel/titanic-eda", "kernel_id": "11978032"}, {"ref": "maheshpatapalli/titanic-logistic-reg-1", "kernel_id": "11277050"}, {"ref": "l33tc0d3r/titanic-survival-classification", "kernel_id": "11974799"}, {"ref": "ayushmaanyadav/titanic-dataset", "kernel_id": "11055071"}, {"ref": "chuntolee/titanic-survival-prediction-using-ensembles", "kernel_id": "11745957"}, {"ref": "suryatejach/titanic-survival-prediction-85-accurate", "kernel_id": "11256263"}, {"ref": "kanhataak/titanic-visualization-score", "kernel_id": "11384387"}, {"ref": "jeffreyjyhuang/beginner-titanic-dataset-classification-models", "kernel_id": "11911635"}, {"ref": "marcelopesse/titanic-survival-machine-learning-with-sklearn", "kernel_id": "11775306"}, {"ref": "ashrafkhan94/diving-deeper-into-titanic-sklearn-keras", "kernel_id": "11767769"}, {"ref": "shravanbangera/titanic", "kernel_id": "11896941"}, {"ref": "kanishkmittal/kanishk-maya-titanic-submission", "kernel_id": "11946521"}, {"ref": "allohvk/alternate-approaches-that-get-you-into-top-1", "kernel_id": "11566662"}, {"ref": "shreybansal22/titanic-logisticregression", "kernel_id": "11982427"}, {"ref": "shreyajoshi18/titanic-machine-learning-from-disaster", "kernel_id": "11981143"}, {"ref": "maansisinghal/titanic-logistic-regression", "kernel_id": "11986146"}, {"ref": "shrutigupta02/titanic-logistic-regression", "kernel_id": "11986652"}, {"ref": "puneetsinghh/titanicnotebook", "kernel_id": "11381832"}, {"ref": "byeeee/simple-and-sweet-learning-sub-part-2", "kernel_id": "11111521"}, {"ref": "sravyaprathapani/titanic-prediction", "kernel_id": "11078198"}, {"ref": "danielj6/titanic-simple-eda", "kernel_id": "11356212"}, {"ref": "danielj6/titanic-model", "kernel_id": "11357531"}, {"ref": "matthewtalia/titanic-submission", "kernel_id": "11217139"}, {"ref": "sphere99/titanic", "kernel_id": "11462956"}, {"ref": "vipul16119036/titanic-model-2", "kernel_id": "11012713"}, {"ref": "tuckerarrants/titanic-plotly-express-eda", "kernel_id": "11484488"}, {"ref": "job187/titanic-data-preprocessing", "kernel_id": "11450493"}, {"ref": "renandemoraes/my-first-titanic-notebook-0-75-begginer", "kernel_id": "11419403"}, {"ref": "meghanakankanala/titanic-predictions-for-beginners", "kernel_id": "11712219"}, {"ref": "limkokleong/kaggle-titanic-08sep2020", "kernel_id": "11610912"}, {"ref": "manis92/notebooke76315e122", "kernel_id": "11959861"}, {"ref": "muhammedabdulazeem/titanic-dataset", "kernel_id": "11009277"}, {"ref": "swathibj/titanic-survival-predictions", "kernel_id": "11979560"}, {"ref": "rutwikdeshmukh/titanic-survival-predictions", "kernel_id": "11131380"}, {"ref": "riticksinghrajput/titanic-survival-predictions", "kernel_id": "11721986"}, {"ref": "riticksinghrajput/titanic-practice", "kernel_id": "11725776"}, {"ref": "mudithsilva/titanic-0-779-accuracy", "kernel_id": "11287080"}, {"ref": "sho123/titanic", "kernel_id": "11593100"}, {"ref": "raquelgritz/titanic-survivor-prediction", "kernel_id": "11637820"}, {"ref": "tahabuyar/titanic-data-exploration-v2", "kernel_id": "11756822"}, {"ref": "para24/xgboost-stepwise-tuning-using-optuna", "kernel_id": "11314023"}, {"ref": "pallavisinha12/titanic-survival", "kernel_id": "11557766"}, {"ref": "rimjimrazdan/titanic-dataset", "kernel_id": "11184458"}, {"ref": "tlizzle23/titanic-experiment1", "kernel_id": "11631093"}, {"ref": "kakashibsc/titanic-dataset-analysis-and-lr-model", "kernel_id": "11719700"}, {"ref": "aakashsachan/titanic-dataset-data-analytics", "kernel_id": "11505065"}, {"ref": "yunussumnu/titanic-eda", "kernel_id": "11004417"}, {"ref": "lokeshwarangopal/titanic-survival-prediction", "kernel_id": "11475879"}, {"ref": "sportsstatseli/titanic-submission-top-6", "kernel_id": "11660301"}, {"ref": "nilaydesmukh/eda-on-titanic-data", "kernel_id": "11979579"}, {"ref": "harunkfrevi/exploring-survival-on-the-titanic-recreated-in-py", "kernel_id": "11916305"}, {"ref": "canozer/titanic-ml", "kernel_id": "11481066"}, {"ref": "louisbox/ml-classifier-on-the-titanic-dataset", "kernel_id": "11081670"}, {"ref": "dishaparkhi/titanic-data-competition", "kernel_id": "11021622"}, {"ref": "sanketranjan/titanicdataset", "kernel_id": "11618977"}, {"ref": "maryolawuyi/notebook2c227dd5ee", "kernel_id": "11612498"}, {"ref": "rikuluostari/random-forests-for-titanic", "kernel_id": "11923846"}, {"ref": "mauzey/titanic-survival-prediction-using-random-forests", "kernel_id": "11233062"}, {"ref": "ujjwalsharma26/titanic-ml-predictions-deep-nn-predictions", "kernel_id": "11521798"}, {"ref": "ekzemplaro/titanic-svc", "kernel_id": "11535932"}, {"ref": "barkhaverma/titanic-survival-analysis", "kernel_id": "11320485"}, {"ref": "mahadihasantarunno/titanic", "kernel_id": "11619236"}, {"ref": "adityajohnny/titanic", "kernel_id": "11055654"}, {"ref": "samiulhossain/beginner-notebook-on-titanic-dataset", "kernel_id": "11573120"}, {"ref": "mviola/titanic-wcg-knns-ensemble-0-82775-top-1", "kernel_id": "11482088"}, {"ref": "cauthur/titanic-survived-prediction", "kernel_id": "11367099"}, {"ref": "seyedmohsenalavi/logisticregression", "kernel_id": "11017181"}, {"ref": "nouhamhadhbi/titanic", "kernel_id": "11388552"}, {"ref": "siddharthamisra/titanic-dataset-storytelling-for-springboard", "kernel_id": "11864367"}, {"ref": "nickelkumawat/ml-model-for-titanic-prediction", "kernel_id": "11196114"}, {"ref": "ravisane1/titanic-machine-learning-from-disaster", "kernel_id": "11396245"}, {"ref": "nandiniverma/titanic", "kernel_id": "11911879"}, {"ref": "raj713335/titanic-machine-learning-from-disaster-kaggle", "kernel_id": "11583620"}, {"ref": "shashankputhanveedu/titanic-problem", "kernel_id": "11974901"}, {"ref": "prasanshasatpathy/titanic-survival-predictions", "kernel_id": "11443635"}, {"ref": "yudhajitchowdhury/naive-bayes-classification-from-scratch", "kernel_id": "11158642"}, {"ref": "soumikdey/titanic", "kernel_id": "11595828"}, {"ref": "soumikdey/titanic-keras-task", "kernel_id": "11397279"}, {"ref": "soumikdey/titanic-eda-decision-tree", "kernel_id": "11336297"}, {"ref": "pankajshakya/titanic-survival-svm", "kernel_id": "11264846"}, {"ref": "karantrehan3/casestudy-titanic-machine-learning-from-disaster", "kernel_id": "11372691"}, {"ref": "priyanshu047/ran-forest-classifier-with-preprocessing-pipeline", "kernel_id": "11612141"}, {"ref": "nisanurlhan/titanic-disaster-notebook", "kernel_id": "11597418"}, {"ref": "zkamiloglu/zktitanicml", "kernel_id": "11785056"}, {"ref": "manjeetkumar7/titanic-prediction", "kernel_id": "11897825"}, {"ref": "vvalsilva/challenge-titanic", "kernel_id": "11187860"}, {"ref": "paulorns/estudo-titanic-sobreviventes", "kernel_id": "11409930"}, {"ref": "paulorns/estudo-titanic-v2-sobreviventes", "kernel_id": "11907685"}, {"ref": "vivekpisal/kernel6d62170059", "kernel_id": "11142690"}, {"ref": "sambhav228/titanic-best-submission-ac", "kernel_id": "11817609"}, {"ref": "nimataghidoost/titanic-accuracy-79", "kernel_id": "11574496"}, {"ref": "otonyeamietubodie/titanic", "kernel_id": "11734547"}, {"ref": "sschoudhary/titanic-prediction", "kernel_id": "11859746"}, {"ref": "surajsingh07/titanic-dataset", "kernel_id": "11986165"}, {"ref": "deepsteve/titanic-self-implemented-naive-bayes", "kernel_id": "11242484"}, {"ref": "aadeshbaral/titanic-machine-learning", "kernel_id": "11319772"}, {"ref": "tristanschrader/comprehensive-ml-study", "kernel_id": "11887676"}, {"ref": "kaitohonda/titanic-dead-or-alive", "kernel_id": "11221927"}, {"ref": "leozysibbs/titanic-xgboost-novice", "kernel_id": "11071987"}, {"ref": "gehadabdelghany/titannic", "kernel_id": "11337707"}, {"ref": "himahima/titanic-voting-classifier", "kernel_id": "11296828"}, {"ref": "nayakroshan/titanic-submission", "kernel_id": "11372742"}, {"ref": "dionisiusdh/titanic-feature-engineering-knn-6", "kernel_id": "11362563"}, {"ref": "saumandas/neural-networks-in-tensorflow-with-titanic", "kernel_id": "11196075"}, {"ref": "samruddhapatil/titanic2", "kernel_id": "11016650"}, {"ref": "darkfanxing/titanic-binary-classsification", "kernel_id": "11799438"}, {"ref": "gorkembakir/titaanic-cu-eda", "kernel_id": "11993326"}, {"ref": "jitendrasinghballa/titanic-disaster-prediction-using-machine-learning", "kernel_id": "11598888"}, {"ref": "nareshsg/titanic-submission", "kernel_id": "11248899"}, {"ref": "viv04jha/titanic", "kernel_id": "11924832"}, {"ref": "thomaskonstantin/titanic-eda-and-prediction-using-model-stacking", "kernel_id": "11106027"}, {"ref": "datadecipherer/titanic-predict-using-random-forest", "kernel_id": "11099679"}, {"ref": "amans02/titanic-predictions", "kernel_id": "11605765"}, {"ref": "mani31899/notebookd79d0a5c44", "kernel_id": "11483966"}, {"ref": "ajaypalsinghlo/titanic-ml", "kernel_id": "11863318"}, {"ref": "cetinkayaevren/ml-and-data-analysis-project-by-using-titanic-data", "kernel_id": "11695491"}, {"ref": "karanpatel219/titanic-with-oversampling-and-dl", "kernel_id": "11556307"}, {"ref": "oluwatosinoseni/notebookaf9e7791b6", "kernel_id": "11291095"}, {"ref": "umutcanakdag/titanic-78-accuracy", "kernel_id": "11898418"}, {"ref": "facerain/ds-study-titanic01", "kernel_id": "11308161"}, {"ref": "sriviswassarma/notebook8fbaea2327", "kernel_id": "11567848"}, {"ref": "leeyongsung/top-5-titanic-model", "kernel_id": "11873654"}, {"ref": "shrutidandagi/titanic-disaster-predicting-survival", "kernel_id": "11147753"}, {"ref": "taylrcawte/titanic-logisticreg", "kernel_id": "11889221"}, {"ref": "imokuri/useful-functions", "kernel_id": "11632508"}, {"ref": "sumbuoy/titanic-survival-prediction", "kernel_id": "11103927"}, {"ref": "frank95/eda-and-random-forest-to-predict-survival", "kernel_id": "11880741"}, {"ref": "erenkervan/top-5-with-keras-nn-beginner", "kernel_id": "11951816"}, {"ref": "misaelnatanael/titanic-eda-modelling-feature-selection", "kernel_id": "11448519"}, {"ref": "amanmishra4yearbtech/titanic-under-10-with-basic-eda-and-stacking", "kernel_id": "11067725"}, {"ref": "prathamtripathi/survival-rate", "kernel_id": "11219111"}, {"ref": "deveshmungad/optimizing-xgboost-hyperparameter-optimization", "kernel_id": "11811997"}, {"ref": "ashishkumarpanda/titanic-dataset", "kernel_id": "11048741"}, {"ref": "ayoubsandali/titanic-challenge-neural-networks", "kernel_id": "11986702"}, {"ref": "spoorthiuk/titanic-1", "kernel_id": "11611339"}, {"ref": "osfaya/titanic-paulopereira", "kernel_id": "11508748"}, {"ref": "nurrturkaslan/data-science-solutions", "kernel_id": "11631354"}, {"ref": "duttasd28/a-glance-at-feature-engineering", "kernel_id": "11166309"}, {"ref": "elysium1436/titanic-dataset-my-first-notebook", "kernel_id": "11075708"}, {"ref": "davidecalabr/titanic-women-and-children-first-0-72248", "kernel_id": "11951725"}, {"ref": "akhilmunjal/top-19-on-titanic-data-set-with-hyper-parameters", "kernel_id": "11703143"}, {"ref": "zgrdenizdursun/titanic-competation-basic-analysis", "kernel_id": "11148985"}, {"ref": "aastha124/classification-using-smote-and-random-forest", "kernel_id": "11957986"}, {"ref": "dmkravtsov/4-2-titanic-nn-keras", "kernel_id": "11401717"}, {"ref": "dmkravtsov/4-3-titanic-one-hot-xgboost-acc-92-opt", "kernel_id": "11402815"}, {"ref": "prashanthprince/above-80-accuracy-comparison-of-all-models", "kernel_id": "11197622"}, {"ref": "jackharding/eda-logistic-regression", "kernel_id": "11608925"}, {"ref": "pradeepmiriyala/titanic-ml-survival-prediction", "kernel_id": "11598548"}, {"ref": "nishanthnarayanan/titanic-prediction", "kernel_id": "11634996"}, {"ref": "kamalkhumar/titanic-survival-prediction", "kernel_id": "11573570"}, {"ref": "arslanali4343/titanic-data-peprocessing-step-by-step", "kernel_id": "11926128"}, {"ref": "ahmedmlabib/titanic-using-k-nearest-neighbors", "kernel_id": "11652308"}, {"ref": "ahmedmlabib/applying-ensembles-of-decision-trees-and-comparing", "kernel_id": "11666006"}, {"ref": "hunzalashakeel1105/titanic-exploratory-data-analysis", "kernel_id": "11162639"}, {"ref": "sevgisarac/machine-learning-with-titanic", "kernel_id": "11414290"}, {"ref": "imraneboucher/titanic-challenge-attempt1", "kernel_id": "11255177"}, {"ref": "sourinroy/feature-engineering-titanic-disaster", "kernel_id": "11016690"}, {"ref": "jonathanbashala/titanic-random-forest-grid-search", "kernel_id": "11958176"}, {"ref": "jonathanbashala/titanic-eda-cleaning-imputation", "kernel_id": "11957041"}, {"ref": "anyasims/titanic-ml-project-as", "kernel_id": "11556231"}, {"ref": "saptarshisit/my-first-kaggle-work-titanic", "kernel_id": "11901220"}, {"ref": "pritamaich/titanic-survival-prediction-top-7", "kernel_id": "11405029"}, {"ref": "shayantaherian/titanic-pytorch", "kernel_id": "11571954"}, {"ref": "ayushpandey1/custom-implementation-on-titanic", "kernel_id": "11050874"}, {"ref": "talhasiddique/titanic-simple-solution", "kernel_id": "11228096"}, {"ref": "omarfaruksani/titanic-competition", "kernel_id": "11954769"}, {"ref": "hareeshkay/titanic", "kernel_id": "11299142"}, {"ref": "tularamsahu/titanic-disaster-survival-prediction", "kernel_id": "11343956"}, {"ref": "dhruvgamer99/titanic-advanced-feature-engineering-tutorial", "kernel_id": "11055490"}, {"ref": "halisezer/titanik-eda", "kernel_id": "11295662"}, {"ref": "piotrorzechowski/pipeline-with-titanic", "kernel_id": "11477816"}, {"ref": "thkim072/titanic-machine-learning-from-disaster", "kernel_id": "11396774"}, {"ref": "manisaurabh/titanic-machine-learning-reduced-features", "kernel_id": "11707947"}, {"ref": "te170476/notebook4eef9fa705", "kernel_id": "11377955"}, {"ref": "gopinath15/titanic-beginer-s-solution", "kernel_id": "11496970"}, {"ref": "saguillo/titanic-ensemble-hardvoting", "kernel_id": "11246253"}, {"ref": "vishwasrawat/notebookbe762227d8", "kernel_id": "11587299"}, {"ref": "hadimir/titanic", "kernel_id": "11972495"}, {"ref": "suryanshagarwal/titanic-eda-svc-rf-knn-logitregg-evaluation", "kernel_id": "11937429"}, {"ref": "raveltowangistu/titanic-comparing-machine-learning", "kernel_id": "11686978"}, {"ref": "nehaagrawal2305/notebook277ea010a2", "kernel_id": "11464439"}, {"ref": "idellang/titanic-eda-and-modeling", "kernel_id": "11472336"}, {"ref": "paulrupprecht/titanicdataset", "kernel_id": "11039595"}, {"ref": "anuragbantu/target-encoding-beginner-s-guide", "kernel_id": "11048707"}, {"ref": "gabrielsantanna/kernel86433682b4", "kernel_id": "11112280"}, {"ref": "artemkostrikin/titanic-top-3", "kernel_id": "11073477"}, {"ref": "ssaisuryateja/titanic", "kernel_id": "11301612"}, {"ref": "priyankasachdeva20/0-787-with-decision-trees-no-feature-engineering", "kernel_id": "11645529"}, {"ref": "zacharywyman/titanic-top-10-beginner-tutorial", "kernel_id": "11626598"}, {"ref": "zacharywyman/titanic-top-4-beginner-tutorial", "kernel_id": "11696024"}, {"ref": "sergeymakarin/titanik-makarin", "kernel_id": "11598316"}, {"ref": "zerryberry/top-10-easiest-titanic-notebook", "kernel_id": "11520290"}, {"ref": "ahmedelrefaey/titanic", "kernel_id": "11210406"}, {"ref": "heisenbergppt/notebookb1c86c1580", "kernel_id": "11207767"}, {"ref": "jayfaldu/titanic-shipwrecks-survival-prediction", "kernel_id": "11450930"}, {"ref": "sunil2021/titanic-survival", "kernel_id": "11682330"}, {"ref": "manatoyaguchi/getting-started-with-titanic", "kernel_id": "11144909"}, {"ref": "vishalbarad/titanic-vishal", "kernel_id": "11842017"}, {"ref": "aparupchakraborty/titanic-survival-prediction-random-forest", "kernel_id": "11270917"}, {"ref": "loguillaume/all-ml-steps-with-sklearn-pipeline", "kernel_id": "11590405"}, {"ref": "wzhou007/titanic-machine-learning-with-keras-pytorch", "kernel_id": "11108631"}, {"ref": "larice/top-5-with-simple-cross-validation-and-ensemble", "kernel_id": "11512965"}, {"ref": "alankritamishra/titaniceasyway2-0", "kernel_id": "11259222"}, {"ref": "subhankarbhatt/naive-bayes-classification-from-scratch", "kernel_id": "11159120"}, {"ref": "tristansaminadayar/my-titanic-notebook", "kernel_id": "11227366"}, {"ref": "mikhailshcherbakov/titanic-solution", "kernel_id": "11970023"}, {"ref": "bitcrunch/titanic-project-example", "kernel_id": "11066386"}, {"ref": "justkode/titanic-randomforest", "kernel_id": "11209894"}, {"ref": "bipulkumarmahato/titanic-survived", "kernel_id": "11970543"}, {"ref": "abhinavsinha845/titanic-simple-code-submission", "kernel_id": "11847502"}, {"ref": "mohamedherradi/first-data-analysis-project-titanic", "kernel_id": "11240519"}, {"ref": "abhishekmisra001/titanic-data-set", "kernel_id": "11761227"}, {"ref": "abhishekmisra001/notebook91156b839c", "kernel_id": "11646061"}, {"ref": "eceifter/titanic-notebook-beginning-to-ml", "kernel_id": "11671003"}, {"ref": "kirillmishkin/top-12-only-kneighborsclassifier", "kernel_id": "11148205"}, {"ref": "arnabs007/titanic-get-inside-top-10-the-key-is-eda", "kernel_id": "11126798"}, {"ref": "parkwonbin/titanic-a-beginner-s-classifier-comparison", "kernel_id": "11069025"}, {"ref": "shashankrajput9/titanic-data-analysis", "kernel_id": "11963250"}, {"ref": "amritachatterjee09/predicting-survival-in-titanic-disaster", "kernel_id": "11108348"}, {"ref": "oneplustricks/titanic-prediction-random-forest-beginners", "kernel_id": "11362632"}, {"ref": "tianxiaoli/getting-started-with-titanic", "kernel_id": "11041603"}, {"ref": "ashokvardhanm/beginners-code-for-titanic", "kernel_id": "11338235"}, {"ref": "konstantinalbul/titanic-baseline-catboost-clf", "kernel_id": "11640992"}, {"ref": "jamesgsw/statistical-approach-to-titanic-accident", "kernel_id": "11070225"}, {"ref": "khushishahh/beginner-s-notebook", "kernel_id": "11840779"}, {"ref": "dibyansudiptiman/titanic-the-easy-way-to-the-top", "kernel_id": "11204256"}, {"ref": "chanakyavivekkapoor/getting-started-with-titanic-dataset", "kernel_id": "11260552"}, {"ref": "munjaldesai/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "11706049"}, {"ref": "rasikagurav/titanic-data-ml", "kernel_id": "11612524"}, {"ref": "changjunlee83/copied-for-class-titanic-data-visualization", "kernel_id": "11479615"}, {"ref": "changjunlee83/for-class-classification-dt-rf-nb-knn", "kernel_id": "11843747"}, {"ref": "emirakay/titanic-eda", "kernel_id": "11704040"}, {"ref": "yasminehemmati/titanic-machine-learning-from-disaster", "kernel_id": "11902953"}, {"ref": "wwongkamjan/titanic-data-analysis-and-prediction", "kernel_id": "11297328"}, {"ref": "bibeknp/titanic-disaster-eda", "kernel_id": "11447755"}, {"ref": "jayashreebiswal/titanic-disaster-prediction-logistic-regression", "kernel_id": "11204124"}, {"ref": "koustubhsharma911/lab-data-pre-processing-koustubh-sharma-i229-ml", "kernel_id": "11383179"}, {"ref": "yuritakaki/new-titanic", "kernel_id": "11449212"}, {"ref": "sifodhara/titanic-survival-prediction", "kernel_id": "11051863"}, {"ref": "sifodhara/titanic-prediction-using-svm", "kernel_id": "11600265"}, {"ref": "abhishekdubey8322/titanic-solved-from-basic-eda-till-ml-algorithms", "kernel_id": "11252650"}, {"ref": "bumjunkoo/titanic", "kernel_id": "11774690"}, {"ref": "azzamradman/titanic-survival-prediction-2-decision-tree", "kernel_id": "11383080"}, {"ref": "azzamradman/titanic-survival-prediction-3-random-forest", "kernel_id": "11404139"}, {"ref": "abduazimabdulazizov/white-mountain-notebookss", "kernel_id": "11079963"}, {"ref": "ebruzumruttas/titanic-final", "kernel_id": "11942808"}, {"ref": "arthuravd/kuku-80", "kernel_id": "11208879"}, {"ref": "arthuravd/kuku-84", "kernel_id": "11312960"}, {"ref": "keilorgilbert/titanic-initial-exploration-of-data", "kernel_id": "11231469"}, {"ref": "hananiftekhar/ttttt", "kernel_id": "11399815"}, {"ref": "meenukumari/titanic-survival", "kernel_id": "11323813"}, {"ref": "brajasekharreddy/titanic-survival-prediction-by-using-ml-and-dl", "kernel_id": "11220304"}, {"ref": "shubham7prasad/titanicsurvival", "kernel_id": "11753628"}, {"ref": "gianzlupko/survival-prediction-with-naive-bayes", "kernel_id": "11690183"}, {"ref": "ebraimcarvalho/titanic-ml", "kernel_id": "11660555"}, {"ref": "ebraimcarvalho/titanic-a-complete-approach-to-top-7-rank-learn", "kernel_id": "11660748"}, {"ref": "gzemmert/gizem-mert-titanic-eda-and-ml", "kernel_id": "11874193"}, {"ref": "vidyasankars/titanic-attempt", "kernel_id": "11016762"}, {"ref": "rxsraghavagrawal/handling-outliers", "kernel_id": "11591705"}, {"ref": "rxsraghavagrawal/all-technique-for-missing-imputation-cat-encoding", "kernel_id": "11535265"}, {"ref": "rxsraghavagrawal/feature-transformation-feature-scaling", "kernel_id": "11557194"}, {"ref": "utcarshagrawal/keras-vs-pytorch-a-perfect-guide", "kernel_id": "11195196"}, {"ref": "elsitak/titanic-with-knn", "kernel_id": "11274850"}, {"ref": "vkehfdl1/titanic-very-beginning", "kernel_id": "11361784"}, {"ref": "danielizumikatagiri/titanic-using-nn", "kernel_id": "11526758"}, {"ref": "danielizumikatagiri/titanic-with-xgboost", "kernel_id": "11166158"}, {"ref": "yodaitanaka/lgbmtu", "kernel_id": "11031998"}, {"ref": "yodaitanaka/optu-extra", "kernel_id": "11176185"}, {"ref": "ashutoshp19/titanic-disaster-analysis-novice-s-attempt", "kernel_id": "11336716"}, {"ref": "sayantansadhu/simplest-approach-to-the-titanic-survival-problem", "kernel_id": "11588492"}, {"ref": "pranavpaldewar/titanic-survivors", "kernel_id": "11785442"}, {"ref": "karanshivsharan/survival-prediction-using-various-algorithms", "kernel_id": "11621229"}, {"ref": "karanshivsharan/titanic-survival-predictions", "kernel_id": "11620572"}, {"ref": "karanshivsharan/titanic-survival-prediction-using-various-models", "kernel_id": "11424183"}, {"ref": "yashgupta22/titanic", "kernel_id": "11540949"}, {"ref": "novelin/top-10-titanic-survived-all-features", "kernel_id": "11317713"}, {"ref": "novelin/titanic-survive", "kernel_id": "11347239"}, {"ref": "ethancheong/titanic-logreg", "kernel_id": "11682117"}, {"ref": "yasharora905/getting-started-with-titanic", "kernel_id": "11975245"}, {"ref": "billlwu/titanic-exploratory", "kernel_id": "11324868"}, {"ref": "keithmutamba/titanic-project", "kernel_id": "11833984"}, {"ref": "rafayelmkrtchyan/titanic", "kernel_id": "11463033"}, {"ref": "rituwadhwani/notebook1b5ab5fabb", "kernel_id": "11875165"}, {"ref": "jillurrahaman/titanic-machine-learning-from-disaster-in-r", "kernel_id": "11206356"}, {"ref": "getdna/22p21c0207-sirawich-w2hw2-27092020", "kernel_id": "11980485"}, {"ref": "nikitadutta1/titanic-survivors-logistic-regression-model", "kernel_id": "11772355"}, {"ref": "avinav49/titanic-prediction", "kernel_id": "11667332"}, {"ref": "mishabz4321/titanic-analysis", "kernel_id": "11951301"}, {"ref": "ilhamr/my-titanic-classifier-notebook", "kernel_id": "11001109"}, {"ref": "muhammadshahzadkhan/titanic-decision-tree-knn-logistic-reg", "kernel_id": "11447836"}, {"ref": "mohitkarelia/titanic-survivors-prediction", "kernel_id": "11583486"}, {"ref": "ankan1998/logisticregression-from-scratch", "kernel_id": "11170199"}, {"ref": "monukhan/titanic-machine-learning-disaster", "kernel_id": "11458504"}, {"ref": "meridk/titanic-prepearing-data", "kernel_id": "11079020"}, {"ref": "aviralsrivastava101/titanic", "kernel_id": "11368273"}, {"ref": "adityabhndari/titanic-prediction-by-forest-model-ab", "kernel_id": "11163721"}, {"ref": "javivaleiras/titanic-novice-notebook", "kernel_id": "11353301"}, {"ref": "peretzcohen/titanic-submission", "kernel_id": "11884997"}, {"ref": "leechinghoe/titanic", "kernel_id": "11078595"}, {"ref": "rishidamarla/predicting-survivals-with-support-vector-machine", "kernel_id": "11357755"}, {"ref": "rishidamarla/predicting-survivals-with-random-forest", "kernel_id": "11341520"}, {"ref": "majidnoureddine/kernel67b5b0a274", "kernel_id": "11099627"}, {"ref": "sarmitamajumdar/titanic-survival-option", "kernel_id": "11421616"}, {"ref": "dipantitabiswas/handling-missing-values", "kernel_id": "11205335"}, {"ref": "tracyporter/titanic-xgb-classifier", "kernel_id": "11446672"}, {"ref": "tracyporter/titanic-ensemble", "kernel_id": "11616603"}, {"ref": "tracyporter/titanic-keras", "kernel_id": "11557983"}, {"ref": "tracyporter/titanic-decision-tree", "kernel_id": "11490845"}, {"ref": "tracyporter/titanic-av-decision-tree", "kernel_id": "11497041"}, {"ref": "tracyporter/titanic-radius-neighbour", "kernel_id": "11967919"}, {"ref": "tracyporter/titanic-heuristic-no-estimator", "kernel_id": "11968844"}, {"ref": "umutdemiroglu/titanic-eda-ud", "kernel_id": "11257799"}, {"ref": "dscofield/mathclub9-18demo", "kernel_id": "11812107"}, {"ref": "allenzhang20/regular-rnn", "kernel_id": "11527311"}, {"ref": "marcoocampos/titanic-survival-prediction", "kernel_id": "11155230"}, {"ref": "abdul21rawoof/titanic", "kernel_id": "11249551"}, {"ref": "wirachleelakiatiwong/titanic-survivor-prediction", "kernel_id": "11145840"}, {"ref": "eqfwcev123robertlee/titanic-tutorial", "kernel_id": "11412853"}, {"ref": "chinatsukobayashi/titanic-new", "kernel_id": "11780473"}, {"ref": "chinatsukobayashi/kfold", "kernel_id": "11777164"}, {"ref": "chinatsukobayashi/fork-of-titanic-new", "kernel_id": "11799414"}, {"ref": "chinatsukobayashi/kadai3", "kernel_id": "11801584"}, {"ref": "christopherwsmith/beginner-exploratory-data-analysis-titanic-and-ml", "kernel_id": "11527704"}, {"ref": "babinghosh/titanic-neural-network", "kernel_id": "11437262"}, {"ref": "meghakanojia/titanic-the-ship-that-sank", "kernel_id": "11335699"}, {"ref": "kathichernysh/kernel34f9350015", "kernel_id": "11151739"}, {"ref": "annabalanik/titanic-analysis-top-5-0-80861", "kernel_id": "11401977"}, {"ref": "lariss4vitoria/titanic-larissa", "kernel_id": "11410649"}, {"ref": "danieladossantos/titanic-d", "kernel_id": "11467433"}, {"ref": "katyanesantos/titanic-katyane", "kernel_id": "11470108"}, {"ref": "melodymax/titanic", "kernel_id": "11247550"}, {"ref": "baakyardm/titanic-exploratory-data-analysis", "kernel_id": "11793551"}, {"ref": "tompitts/titanic-life-and-death", "kernel_id": "11265487"}, {"ref": "hirokuniyoshitsugu/notebook4a17bed399", "kernel_id": "11381536"}, {"ref": "rahulpawade/titanic-machine-learning-from-disaster", "kernel_id": "11251951"}, {"ref": "rahulpawade/titanic-dataset", "kernel_id": "11750082"}, {"ref": "channo39mz/22p21n0056-ques2-2020-09-27", "kernel_id": "11998442"}, {"ref": "heeraldedhia/titanic-dataset-using-ensemble-learning", "kernel_id": "11150726"}, {"ref": "imoore/awesome-visualizations", "kernel_id": "11326200"}, {"ref": "imoore/titanic-approach-eda", "kernel_id": "11365083"}, {"ref": "imoore/multiple-classification-models-work-in-progress", "kernel_id": "11399215"}, {"ref": "imoore/large-stock-market-visualizations", "kernel_id": "11384467"}, {"ref": "imoore/easy-tutorial-for-plotting-with-python", "kernel_id": "11384500"}, {"ref": "imoore/titanic-the-only-notebook-you-need-to-see", "kernel_id": "11416608"}, {"ref": "vivekprajapati2048/a-complete-titanic-survival-prediction-notebook", "kernel_id": "11559716"}, {"ref": "safayet1610039/titanic-with-deep-learning-using-tf-73-accuracy", "kernel_id": "11465124"}, {"ref": "sohamukherjee/tiatanic-prediction", "kernel_id": "11954118"}, {"ref": "stacywang242/titanic", "kernel_id": "11798763"}, {"ref": "sahilmaheshwari/getting-top-30-with-20-lines-of-code", "kernel_id": "11870553"}, {"ref": "anand739/notebook05763805fa", "kernel_id": "11372203"}, {"ref": "ireshrastogi/fork-of-my-titanic-first-analysis", "kernel_id": "11361681"}, {"ref": "satishbirhade/titanic-competetion", "kernel_id": "11363977"}, {"ref": "tanvibhosale/titanic-using-svm", "kernel_id": "11151960"}, {"ref": "hanantabak/titanic-with-decisiontreeclassifier", "kernel_id": "11178439"}, {"ref": "hanantabak/titanic-logisticregression", "kernel_id": "11102131"}, {"ref": "asthajha/titanic-survival-top-15", "kernel_id": "11374728"}, {"ref": "chitra291190/titanic", "kernel_id": "11444996"}, {"ref": "michellemenachery/titanic-dataset", "kernel_id": "11222695"}, {"ref": "shivanshmehrotra/titanic-missing-values", "kernel_id": "11261098"}, {"ref": "zhaodianwen/project-titanic", "kernel_id": "11272877"}, {"ref": "ayushtagde/kernel45febe622a", "kernel_id": "11053548"}, {"ref": "wanchoonang/titanic-analyze-passenger-names-countvectorizer", "kernel_id": "11900785"}, {"ref": "irmdgnc/titanic", "kernel_id": "11983957"}, {"ref": "masanaowakita/train-000", "kernel_id": "11148677"}, {"ref": "adwaitkelkar12/notebookeeaf8a0577", "kernel_id": "11280240"}, {"ref": "feyzapamukolujohnson/titanic-first-submission-upschool", "kernel_id": "11652264"}, {"ref": "max22112019/outliers-handling-with-titanic-example", "kernel_id": "11019919"}, {"ref": "aavinashvijay/titanic-dataset-predictions", "kernel_id": "11719375"}, {"ref": "awanda/titanic-predictions", "kernel_id": "11531970"}, {"ref": "shubhamsri1991/titanic-machine-learning-for-disaster", "kernel_id": "11107074"}, {"ref": "akashkanojiya/titanic-sgdclassifier", "kernel_id": "11538670"}, {"ref": "aliyoussef12/titanic-first-project", "kernel_id": "11312040"}, {"ref": "rahulsingla5209/made-neural-network-from-scratch-lessons-learnt", "kernel_id": "11451491"}, {"ref": "prudhvipoluri/titanic-beginer-eda", "kernel_id": "11035030"}, {"ref": "anthonytun/titanic-solution", "kernel_id": "11047555"}, {"ref": "martialwang/titanic", "kernel_id": "11152411"}, {"ref": "maruthysubrahmanyam/logical-regression-on-titanic-data-set", "kernel_id": "11917929"}, {"ref": "mertture/titanickaggle", "kernel_id": "11452810"}, {"ref": "stefanoskotsonis/titanic", "kernel_id": "11453998"}, {"ref": "abhisman/kernel7367b2d17a", "kernel_id": "11035860"}, {"ref": "fsluis/titanic-tutorial-for-open-data-science", "kernel_id": "11895477"}, {"ref": "mehmetkemal/titanic-kernel1", "kernel_id": "11087299"}, {"ref": "aryanparab/titanic", "kernel_id": "11016150"}, {"ref": "brianmiller74/titanic-survival-predictions", "kernel_id": "11657218"}, {"ref": "miguelrosales/titanic-data-analysis", "kernel_id": "11976811"}, {"ref": "adityakaushik01/titanic-survival-for-beginners-76", "kernel_id": "11364837"}, {"ref": "kartikenumula/titanic-survival-prediction", "kernel_id": "11649047"}, {"ref": "hayatoomori/my-first-notebook", "kernel_id": "11464606"}, {"ref": "prathimananjundaiah/titanic-survival-rate-predection-logistic-gression", "kernel_id": "11254963"}, {"ref": "ankuromer/titanic-prediction-1", "kernel_id": "11412991"}, {"ref": "biswaranjanbiswal/prediction-on-titanic-dataset", "kernel_id": "11206752"}, {"ref": "zhengqisun/kernelc57e56b759", "kernel_id": "11051322"}, {"ref": "amarshah1999/amar-and-aarjav-titanic", "kernel_id": "11461395"}, {"ref": "barishasdemir/random-forest-top-6-80-143-score", "kernel_id": "11335734"}, {"ref": "marinerobinson/marine-robinson-titanic", "kernel_id": "11809443"}, {"ref": "sindhujarao/titanic", "kernel_id": "11184793"}, {"ref": "gabrielaheringer/getting-started-with-titanic", "kernel_id": "11279357"}, {"ref": "velvetzqr/titanic-survival-rfc", "kernel_id": "11359961"}, {"ref": "lellabhargavi/titanic-survival", "kernel_id": "11634472"}, {"ref": "logiflo/titanic-machine-learning", "kernel_id": "11476434"}, {"ref": "mikhailsavin/titanic-catboost", "kernel_id": "11309437"}, {"ref": "omarvillaseormurillo/notebookc1f14b72f8", "kernel_id": "11622439"}, {"ref": "tugcekiziltepe/titanic-eda", "kernel_id": "11096591"}, {"ref": "roshanpk/notebook44b5ee865c", "kernel_id": "11209684"}, {"ref": "nidhisaluja/titanic", "kernel_id": "11124852"}, {"ref": "frankumeakunne/titanic-survival-prediction", "kernel_id": "11156682"}, {"ref": "laponovvladislav/first-step-on-kaggle", "kernel_id": "11328270"}, {"ref": "laponovvladislav/titanic-analysis-from-absolute-novice", "kernel_id": "11421005"}, {"ref": "yasharthsingh93/notebookcc24d73fb3", "kernel_id": "11208934"}, {"ref": "doaadoaa/titanic-predection", "kernel_id": "11950046"}, {"ref": "guillemora2/decision-trees-npl", "kernel_id": "11957287"}, {"ref": "guillemora2/natual-language-with-titanic", "kernel_id": "11890632"}, {"ref": "mereleb/i-m-very-beginner-ml-for-rms-titanic", "kernel_id": "11373578"}, {"ref": "vijayakishoredusi/sample-notebook-for-testing1", "kernel_id": "11067015"}, {"ref": "nknshmasaki/kernel1383203075", "kernel_id": "11158677"}, {"ref": "ritesh065/notebook48be7767ba", "kernel_id": "11568861"}, {"ref": "ritesh065/notebookc5349093e1", "kernel_id": "11536939"}, {"ref": "gayatrigs/titanic-survival", "kernel_id": "11119987"}, {"ref": "senaduman/predict-survival-on-titanic-disaster", "kernel_id": "11088958"}, {"ref": "seanjasparyu/titanic-machine-learning", "kernel_id": "11282960"}, {"ref": "kelvynsuzuki/simple-solution-with-catboost", "kernel_id": "11387955"}, {"ref": "kelvynsuzuki/catboost-and-evaluations", "kernel_id": "11197079"}, {"ref": "tauqeerahmad123/notebook54a22e3461", "kernel_id": "11467773"}, {"ref": "viviansalim/titanic-prediction-project", "kernel_id": "11494796"}, {"ref": "scarletshadow/titanic", "kernel_id": "11184392"}, {"ref": "andressantossanz/titanic-competition-dv-ml", "kernel_id": "11432380"}, {"ref": "ruandiassantana/titanic-competition", "kernel_id": "11339244"}, {"ref": "vitorlavor/getting-started-with-titanic", "kernel_id": "11507820"}, {"ref": "hinamimi/adkkhn-h-visualization", "kernel_id": "11090572"}, {"ref": "hinamimi/adkkhn-h-model", "kernel_id": "11091593"}, {"ref": "hinamimi/adkkhn-h-modelv2", "kernel_id": "11094064"}, {"ref": "hinamimi/adkkhn-h-model-v1-1", "kernel_id": "11109671"}, {"ref": "hinamimi/adkkhn-h-model-v1-2", "kernel_id": "11203447"}, {"ref": "vikasukani/titanic-5-machine-learning-models", "kernel_id": "11080430"}, {"ref": "gokhantr/gokhantr-titanic-eda", "kernel_id": "11608064"}, {"ref": "mohammadomerejaz/titanic-data-analysis-using-various-ml-algorithms", "kernel_id": "11245791"}, {"ref": "maciejmeler/titanic-xgboost", "kernel_id": "11147300"}, {"ref": "maciejmeler/titanic-random-forest-model", "kernel_id": "11086015"}, {"ref": "kowshikramr/titanic-problem", "kernel_id": "11679321"}, {"ref": "weixsu/titanic-prediction-a-comprehensive-analysis", "kernel_id": "11904248"}, {"ref": "alihanurumov/titanic-machine-learning-from-disaster", "kernel_id": "11251252"}, {"ref": "nurulaminrobin/getting-started-with-titanic1", "kernel_id": "11844675"}, {"ref": "shresthapriya/simple-xgboost-and-random-forest-classification", "kernel_id": "11275056"}, {"ref": "mayurrathod1124/titanic-project", "kernel_id": "11033295"}, {"ref": "mayurrathod1124/notebook7d9e7d43d9", "kernel_id": "11384942"}, {"ref": "dorodikrishty/titanic-survival-prediction", "kernel_id": "11364804"}, {"ref": "ezekielvictor/notebookbe6aec2104", "kernel_id": "11276589"}, {"ref": "suvajitadhikari/titanic-machine-learning-with-auto-eda", "kernel_id": "11120476"}, {"ref": "priyankabnavale/firsttrywith-titanic", "kernel_id": "11143694"}, {"ref": "simonityagi/titanic-logistic-regression", "kernel_id": "11922435"}, {"ref": "sifonsoul/titanic-survival-seaborn-and-ensembles", "kernel_id": "11944946"}, {"ref": "tejasrigururaj/titanic-nn", "kernel_id": "11093365"}, {"ref": "shalinishashi/emoji-game", "kernel_id": "11222327"}, {"ref": "anurodhmohapatra/preprocessing-sklearn-pipeline-titanic-top-8", "kernel_id": "11378744"}, {"ref": "oweaqo/22p23i0006-varadtha-w2hw2-27092020", "kernel_id": "11998694"}, {"ref": "proribone/adkkhn-a-model1-sub", "kernel_id": "11107153"}, {"ref": "tilwanideepa/xgboost-titanic-notebook", "kernel_id": "11530950"}, {"ref": "r2d2r2d2/titanic-eda", "kernel_id": "11376056"}, {"ref": "r2d2r2d2/titanic-model", "kernel_id": "11376210"}, {"ref": "alisahin26/titanic-project", "kernel_id": "11042294"}, {"ref": "philippuan/titanic", "kernel_id": "11586432"}, {"ref": "pooriata/titanic-survival-prediction", "kernel_id": "11805201"}, {"ref": "popus1/titanic-predict-using-pycaret-v2", "kernel_id": "11650040"}, {"ref": "neemakunder/titanic-1", "kernel_id": "11051511"}, {"ref": "vudavid/predict-survival-on-the-titanic-du-ng-vu-ac", "kernel_id": "11394795"}, {"ref": "themlphdstudent/titanic-survive-prediction-tutorial-for-beginners", "kernel_id": "11011071"}, {"ref": "themlphdstudent/learn-numpy-numpy-exercise-part-2", "kernel_id": "11305446"}, {"ref": "themlphdstudent/cheatsheet-matplotlib-charts", "kernel_id": "11464839"}, {"ref": "kevinnwu/titanic-predictions-using-ann", "kernel_id": "11515475"}, {"ref": "abcdefgzzl123456/kernel2664f45765-1ef018", "kernel_id": "11111665"}, {"ref": "ankitatrivedi/titanic-disaster-dataset", "kernel_id": "11726847"}, {"ref": "misteromelet/titanic-first-kaggle-competition", "kernel_id": "11460029"}, {"ref": "parakhbansal/notebook96f309b075", "kernel_id": "11388475"}, {"ref": "ifabiyimay/predict-the-survival-using-decision-tree", "kernel_id": "11202258"}, {"ref": "naniwazu/adkkhn-h-model-bf1072", "kernel_id": "11094056"}, {"ref": "helingnc/titanic-eda", "kernel_id": "11727103"}, {"ref": "mamun18/decision-tree-practice-with-titanic-dataset-hptune", "kernel_id": "11160277"}, {"ref": "murataksoy/titanic-eda-survival-predictions", "kernel_id": "11196597"}, {"ref": "erikrodionov/titanic-erik-rodionov", "kernel_id": "11048256"}, {"ref": "danielchoi0127/titanic-top-5-with-stacking-models", "kernel_id": "11189131"}, {"ref": "harishkumarrb/kernel127003ee40", "kernel_id": "11094224"}, {"ref": "amirlashkari/titanic", "kernel_id": "11177085"}, {"ref": "rishabhshinde/titanic-data", "kernel_id": "11192784"}, {"ref": "rehamanikandan/titanic-solved", "kernel_id": "11126235"}, {"ref": "anmolmaheshwari/titanic-data-science-solutions", "kernel_id": "11746737"}, {"ref": "shunyayao/demo-titanic", "kernel_id": "11892415"}, {"ref": "momerbashir/getting-started-with-titanic", "kernel_id": "11141346"}, {"ref": "darkness117/titanic-relationship-between-cockpit-and-mortal", "kernel_id": "11112708"}, {"ref": "udayagiricharankumar/your-1st-binary-classifier-using-titanic-da-b8eff3", "kernel_id": "11267043"}, {"ref": "wiredataindia/kernel1426a5cc14", "kernel_id": "11064594"}, {"ref": "janamachutova/titanic-age-by-title-fare-by-class-explained", "kernel_id": "11372153"}, {"ref": "yonggari/titanic-first-take", "kernel_id": "11407512"}, {"ref": "jwl123/titanic-note", "kernel_id": "11492882"}, {"ref": "fabiocoppini/titanic-with-groups-of-families-and-friends", "kernel_id": "11352841"}, {"ref": "aadarshraj4444/logistic-regression-titanic-survival-prediction", "kernel_id": "11171775"}, {"ref": "uglymicha/notebooka6dd45413e", "kernel_id": "11337666"}, {"ref": "chiragrathi/notebook-1", "kernel_id": "11158756"}, {"ref": "vikashmaddi/titanic-project", "kernel_id": "11092555"}, {"ref": "joesykes/titanic-competition-investigating-age-imputation", "kernel_id": "11899726"}, {"ref": "srinivasgopalkrishna/titanic-logistic-regression-with-poly-features", "kernel_id": "11356651"}, {"ref": "akshitrai/ml-in-everything-titanic-disaster-survival", "kernel_id": "11271490"}, {"ref": "dhirajdchaudhari/learningtitanic", "kernel_id": "11373599"}, {"ref": "kirubakaran28/titanic-survival-prediction-notebook-top-18", "kernel_id": "11281930"}, {"ref": "fabianschmitz/project-bq07", "kernel_id": "11182750"}, {"ref": "yagmursezendemir/titanic-data-analysis-for-beginners", "kernel_id": "11244779"}, {"ref": "scientistshubham/titanicnotebook", "kernel_id": "11029564"}, {"ref": "ryutaro0907/titanic", "kernel_id": "11214799"}, {"ref": "martafattorel/titanic-tutorial-traditional-ml-algorithms", "kernel_id": "11464243"}, {"ref": "kushal1506/titanic-81-1-leader-board-score-guaranteed", "kernel_id": "11536833"}, {"ref": "kushal1506/titanic-quest-with-78-7-test-set-accuracy", "kernel_id": "11414649"}, {"ref": "scarecrow2020/titanic-study-by-david-castillo", "kernel_id": "11376917"}, {"ref": "darthmanav/beginner-code-fast-eda-feature-engineer-all-models", "kernel_id": "11176631"}, {"ref": "ryanmcphillips/titanic-machine-learning-predictions", "kernel_id": "11372864"}, {"ref": "frederikriess/getting-started-with-titanic", "kernel_id": "11032653"}, {"ref": "jeroennelen/beginner-machine-learning-using-random-forest", "kernel_id": "11053262"}, {"ref": "tatianaback/iniciando-com-titanic-tree", "kernel_id": "11039053"}, {"ref": "markmcgrath447/notebookbfe801b910", "kernel_id": "11906851"}, {"ref": "mdalsiam/titanic-as-start", "kernel_id": "11063343"}, {"ref": "nckasman/titanic-exploratory-data-analysis", "kernel_id": "11043067"}, {"ref": "muhammadhusni/titanic", "kernel_id": "11849365"}, {"ref": "andreaspolydorou/getting-started-with-titanic", "kernel_id": "11098139"}, {"ref": "arseniybelkov/simple-titanic-model", "kernel_id": "11253984"}, {"ref": "hoomanramezani/kernel67e1c4e339", "kernel_id": "11060608"}, {"ref": "uarioz/titanic-solution-ramazan", "kernel_id": "11458658"}, {"ref": "uarioz/ua-titanic-trial", "kernel_id": "11066036"}, {"ref": "avaniudupa/titanic-machine-learning-from-disaster", "kernel_id": "11092350"}, {"ref": "firefortysix/getting-started-with-titanic", "kernel_id": "11231592"}, {"ref": "firefortysix/continuing-with-titanic-shotgun-approach", "kernel_id": "11281869"}, {"ref": "glcanbudak/titanic-kernel-python", "kernel_id": "11097711"}, {"ref": "m2karcn/titanic", "kernel_id": "11068277"}, {"ref": "paulsrozentoks/titanic-data-prediction", "kernel_id": "11885193"}, {"ref": "vikrantrajput/my-first-notebook-on-titanic", "kernel_id": "11429043"}, {"ref": "mlethics/coding-2-working-with-data", "kernel_id": "11520392"}, {"ref": "mlethics/coding-2-working-with-data-answer-key", "kernel_id": "11921921"}, {"ref": "rezadarmawan/titanic-survival-prediction-with-keras-nn", "kernel_id": "11248937"}, {"ref": "robinfischer/titanic-competition", "kernel_id": "11370550"}, {"ref": "yoyozhong/notebook1986b6b19c", "kernel_id": "11196801"}, {"ref": "athipudrungsun/22p25c0226-w2hw2-27-9-2020", "kernel_id": "11972354"}, {"ref": "thomasschlectic/titanic-survival-model", "kernel_id": "11118629"}, {"ref": "suzukiseiya/my-edit", "kernel_id": "11769688"}, {"ref": "tony747/getting-started-with-titanic", "kernel_id": "11415913"}, {"ref": "benyaminghahremani/basic-approaches-to-solve-titanic-problem", "kernel_id": "11108910"}, {"ref": "coopermini/titanic-passengers-fate-prediction", "kernel_id": "11249287"}, {"ref": "sundusshahid/titanic-first-submission", "kernel_id": "11420022"}, {"ref": "ankitola/titanic-notebook-for-novice-very-simple-concepts", "kernel_id": "11315687"}, {"ref": "soumyaranjan96/titanic-data-science-solutions", "kernel_id": "11543443"}, {"ref": "sushanpatel/titanic-dataset-accuracy-99", "kernel_id": "11350428"}, {"ref": "antoniochirtu/getting-started-with-titanic-dataset", "kernel_id": "11261271"}, {"ref": "suvanshkapur/cognitiveanalytics-titanic", "kernel_id": "11982711"}, {"ref": "ayodejiakinola/titanic", "kernel_id": "11336726"}, {"ref": "ayodejiakinola/titanic-99", "kernel_id": "11187245"}, {"ref": "daq19920/notebook4282398902", "kernel_id": "11195840"}, {"ref": "wtjung/titanic-tutorial-for-beginners-2020", "kernel_id": "11147923"}, {"ref": "paramshah144/titanic-survival-eda-feature-engineering", "kernel_id": "11218093"}, {"ref": "fercampos19/titanic-classification-example", "kernel_id": "11188318"}, {"ref": "claudiocelestino/getting-started-with-titanic", "kernel_id": "11238566"}, {"ref": "ericjiang423/titanic-survivor-prediction", "kernel_id": "11410742"}, {"ref": "ericjiang423/titanic-survivor-prediction-using-knn", "kernel_id": "11410432"}, {"ref": "yashjdoshi/titanic-dataset", "kernel_id": "11888554"}, {"ref": "kumikoanzai/titanic-tutorial-ver-2", "kernel_id": "11461113"}, {"ref": "takaakiyamaguchi/notebook05fe06a569", "kernel_id": "11181357"}, {"ref": "dianaj/titanic-machine-learning-from-disaster", "kernel_id": "11181146"}, {"ref": "zakarii/titanic-ml-prediction-using-svm", "kernel_id": "11230991"}, {"ref": "shaojing195347/notebookbbe24a396b", "kernel_id": "11174864"}, {"ref": "shyamkrishnanr99/titanic", "kernel_id": "11556154"}, {"ref": "dhruvingandhi11/titanic-disaster", "kernel_id": "11570259"}, {"ref": "tamoghnobhattacharya/titanic-survival-prediction", "kernel_id": "11253031"}, {"ref": "mohit1245malviya/groza-op", "kernel_id": "11182079"}, {"ref": "ramdadhich/pytho", "kernel_id": "11182147"}, {"ref": "sandhuveer/titanic-dataset-exploration", "kernel_id": "11322732"}, {"ref": "nazimonderorhan/getting-started-with-titanic", "kernel_id": "11235923"}, {"ref": "derrickzhen/titanic-rf-for-absolute-dumbasses", "kernel_id": "11214442"}, {"ref": "jeanmellot/notebook-titanic", "kernel_id": "11272126"}, {"ref": "hanseopark/titanic-the-first-python", "kernel_id": "11795223"}, {"ref": "allegrobarbaro/titanic-xgbclassifier", "kernel_id": "11307861"}, {"ref": "fassily/titanic-competition-walkthrough-to-top-4", "kernel_id": "11487740"}, {"ref": "cansucandan/titanic-exploratory-data-analysis", "kernel_id": "11554958"}, {"ref": "cansucandan/python-outlier-detection", "kernel_id": "11592377"}, {"ref": "rajkumarl/exploratory-data-analytics-titanic", "kernel_id": "11709575"}, {"ref": "csvikram100/titanic-project-in-python-predicting-the-survival", "kernel_id": "11224663"}, {"ref": "srutibanbhattacharya/titanic-eda", "kernel_id": "11336310"}, {"ref": "srutibanbhattacharya/titanic-survival-challenge", "kernel_id": "11595785"}, {"ref": "yaminiagrawal1801/titanic-decisiontree", "kernel_id": "11227359"}, {"ref": "santiagoargibay/notebook353fc5f0be", "kernel_id": "11733833"}, {"ref": "nisitsirimarnkit/22p25i0005-w2hw2-27092020", "kernel_id": "11971231"}, {"ref": "mruanova/titanic-machine-learning-from-disaster", "kernel_id": "11372927"}, {"ref": "recepb/titanic-project", "kernel_id": "11522781"}, {"ref": "mehmetlaudatekman/titanic-plotly-detailed-descriptions", "kernel_id": "11922775"}, {"ref": "chandupatlaudaykumar/titanic-data-analysis-demo-view", "kernel_id": "11447427"}, {"ref": "vortexkol/getting-started-with-titanic", "kernel_id": "11334830"}, {"ref": "jonathanpaserman/titanic-prediction", "kernel_id": "11321810"}, {"ref": "patilharss/titanic-data-set", "kernel_id": "11299802"}, {"ref": "padmajabuggaveeti/titanic-survival-model", "kernel_id": "11548146"}, {"ref": "andrewbarzu/notebookc0f20a9e3b", "kernel_id": "11354253"}, {"ref": "efekurdoglu/titanic-eda", "kernel_id": "11903202"}, {"ref": "pulkitgulati/titanic-voting-classifier", "kernel_id": "11306066"}, {"ref": "gokatharunkumar/titanic-survival-predictions", "kernel_id": "11348825"}, {"ref": "rajiblxp/rd-with-titanic", "kernel_id": "11397331"}, {"ref": "rifkyahmadsaputra/titanic-survivor-prediction-top-7", "kernel_id": "11296321"}, {"ref": "sandeepkunwar/my-first-notebook-titanic", "kernel_id": "11395712"}, {"ref": "stanen/getting-started-with-titanic", "kernel_id": "11371680"}, {"ref": "kuldeepsinghdudi/titanic-dataset", "kernel_id": "11333546"}, {"ref": "theuniversesd/titanic-begin", "kernel_id": "11646621"}, {"ref": "theuniversesd/titanic-keras-nd-all", "kernel_id": "11839399"}, {"ref": "karlbina/titanic-exploratory-data-analy-ml-svm-optimizer", "kernel_id": "11616165"}, {"ref": "jarvisu/titanic-survive", "kernel_id": "11823480"}, {"ref": "seerituraj/notebookd441734a0a", "kernel_id": "11511815"}, {"ref": "adityaprabaswara/random-forest-for-titanic-dataset", "kernel_id": "11360998"}, {"ref": "nituldeshpande/getting-started-with-titanic", "kernel_id": "11343782"}, {"ref": "autodidact05/titanic-survival-model", "kernel_id": "11673288"}, {"ref": "mustafayilmazz/firsttrytitanic", "kernel_id": "11653950"}, {"ref": "davidwecke/first-titanic-notebook", "kernel_id": "11468876"}, {"ref": "fabianotodao/titanic-acc-above-80", "kernel_id": "11403714"}, {"ref": "colearninglounge/titanic-prediction-using-pycaret", "kernel_id": "11418488"}, {"ref": "azanine/titanic", "kernel_id": "11370041"}, {"ref": "sboy303/titanic", "kernel_id": "11390844"}, {"ref": "sboy303/titanic-model-with-random-forest-classification", "kernel_id": "11786959"}, {"ref": "namylase/titanic-eda-full-pipeline-ensemble", "kernel_id": "11669299"}, {"ref": "juanpauloreguyal/titanic-competition", "kernel_id": "11872082"}, {"ref": "juliozambranoxyz/juliofirsttitanicsubmission", "kernel_id": "11545677"}, {"ref": "riadulislamrabbi/titanic-journey", "kernel_id": "11787089"}, {"ref": "riadulislamrabbi/titanic-disaster", "kernel_id": "11938956"}, {"ref": "selimhanmeral/own-titanic-notebook", "kernel_id": "11506976"}, {"ref": "yuyayoshioka/python-kaggle-start-book-ch02-01", "kernel_id": "11492606"}, {"ref": "yashsarjekar/yash-sarjekar-titanic-survival", "kernel_id": "11481021"}, {"ref": "mihalceanucristian/titanic-feature-generation", "kernel_id": "11770996"}, {"ref": "ojimenez19/titanic-classification", "kernel_id": "11956047"}, {"ref": "yuhigo/titanic-practice", "kernel_id": "11434373"}, {"ref": "tommasogiovannini/titanic-competition", "kernel_id": "11433258"}, {"ref": "mertdaitir/titanic-tables", "kernel_id": "11613943"}, {"ref": "rajarammp/logistic-regression-titanic", "kernel_id": "11461736"}, {"ref": "hongjinlyu/starting-with-the-titanic", "kernel_id": "11442017"}, {"ref": "wanjikukariuki/decision-tree-model", "kernel_id": "11507247"}, {"ref": "aviparnabiswas/getting-started-with-titanic", "kernel_id": "11452535"}, {"ref": "ellengiles/titanic", "kernel_id": "11453743"}, {"ref": "tommy3foo/python-kaggle-start-book-ch02-01", "kernel_id": "11516105"}, {"ref": "jjongminpark/realtitanic", "kernel_id": "11588738"}, {"ref": "amitkrthakur/titanic-beggining", "kernel_id": "11621324"}, {"ref": "felipeschwab/notebook92f76d36e4", "kernel_id": "11485454"}, {"ref": "sufia37/titanic-data-science-solutions", "kernel_id": "11490612"}, {"ref": "takesyu/titanic-decisiontreeclassifier", "kernel_id": "11585664"}, {"ref": "takesyu/titanic-prediction", "kernel_id": "11499434"}, {"ref": "takesyu/taitanic-lgbm", "kernel_id": "11540360"}, {"ref": "yoazmenda/titanic-random-forst", "kernel_id": "11538273"}, {"ref": "jackwatson99/neural-network-titanic-dataset", "kernel_id": "11660647"}, {"ref": "jackwatson99/notebook84c311497a", "kernel_id": "11656637"}, {"ref": "huiyangong/titanic-machine-learning-from-disaster", "kernel_id": "11585283"}, {"ref": "claudemao/titanic-visualization", "kernel_id": "11892598"}, {"ref": "santhoshhs/titanic", "kernel_id": "11618083"}, {"ref": "parsasam/titanic-approach-to-0-78468", "kernel_id": "11545742"}, {"ref": "mohitahmed/titanic", "kernel_id": "11665017"}, {"ref": "zhipengzhang13397777/notebook666cea4a57", "kernel_id": "11984141"}, {"ref": "shalinir19bei0017/notebookd4342c78ad", "kernel_id": "11532927"}, {"ref": "akshathkaushal7/titanicfirstnotebook", "kernel_id": "11619440"}, {"ref": "akhileshthite/titanic-solution-top-8", "kernel_id": "11670016"}, {"ref": "kamaleshreddy/titanic-survival", "kernel_id": "11609343"}, {"ref": "rocklen/titanic-data", "kernel_id": "11970641"}, {"ref": "mibert/top-10-efficient-ensembling-in-few-lines-of-code", "kernel_id": "11559666"}, {"ref": "thuyliennguyen/titanic", "kernel_id": "11614587"}, {"ref": "penchalaiah123/top-10-efficient-ensembling-in-few-lines-of-code", "kernel_id": "11583395"}, {"ref": "paulhe727/titanic-project-analysis-he-tian", "kernel_id": "11566374"}, {"ref": "hirazawahiroshi/titanic-rmd", "kernel_id": "11696496"}, {"ref": "sakibahmed1712442/titanic-assign", "kernel_id": "11675631"}, {"ref": "anamariamidoripreda/exploring-survival-on-the-titanic", "kernel_id": "11581815"}, {"ref": "vimalverma/titanic", "kernel_id": "11608780"}, {"ref": "tehseensajjad/a-complete-newbie-solving-the-titanic-dataset", "kernel_id": "11917455"}, {"ref": "alexeychudinov/getting-started-with-titanic", "kernel_id": "11696401"}, {"ref": "pilarsnchezsausa/titanic-redes-neuronales-api-keras", "kernel_id": "11786288"}, {"ref": "priteshpatel93/titanic", "kernel_id": "11776317"}, {"ref": "pkalkman/titanic", "kernel_id": "11873282"}, {"ref": "chrispeabody/titanic-logistic-regression", "kernel_id": "11620520"}, {"ref": "saurabhprakashgiri/titanic", "kernel_id": "11619725"}, {"ref": "rizkyhalawi/titanic-project", "kernel_id": "11977334"}, {"ref": "seikinakamura/titanic-lightgbm", "kernel_id": "11797222"}, {"ref": "dragonvinson/titanic", "kernel_id": "11685018"}, {"ref": "satyamkryadav/titanic-dataset", "kernel_id": "11755235"}, {"ref": "dysonisaac/titanic-ml-starter-dt-rf", "kernel_id": "11822062"}, {"ref": "theowanderley/notebook-theowanderley-dataminingufrpe", "kernel_id": "11678988"}, {"ref": "raziyeataseven/titanic-tutorial", "kernel_id": "11914234"}, {"ref": "naozep491586/tryingtitanic", "kernel_id": "11672732"}, {"ref": "ljuboslavboskic/titanic-challenge", "kernel_id": "11699675"}, {"ref": "fabiogomezsilva/titanic-prediction-v1", "kernel_id": "11771248"}, {"ref": "suvedhand/getting-started-with-titanic-r", "kernel_id": "11682798"}, {"ref": "suvedhand/getting-started-with-titanic-python", "kernel_id": "11682608"}, {"ref": "jignacioespinoza/first-attempt-ml", "kernel_id": "11957493"}, {"ref": "indrianaoktavia/hari-4-minggu-4-indriana", "kernel_id": "11802172"}, {"ref": "bilegod/titanic-aigen-source", "kernel_id": "11689239"}, {"ref": "dietzschdaniel/introduction-to-metrics", "kernel_id": "11858547"}, {"ref": "dietzschdaniel/my-titanic-approach-top-5", "kernel_id": "11687532"}, {"ref": "dietzschdaniel/introduction-to-hyperparameter-tuning", "kernel_id": "11800951"}, {"ref": "masashigemaeda/notebook49eda8fff9", "kernel_id": "11689235"}, {"ref": "yingzheng1212/titanic-data-analysis", "kernel_id": "11690955"}, {"ref": "saturnfish/notebookd1c4a741ee", "kernel_id": "11892872"}, {"ref": "abhattacherjee/titanic-survival-prediction", "kernel_id": "11866449"}, {"ref": "arvindsamriya/titanic-beginning-on-kaggle", "kernel_id": "11782728"}, {"ref": "sharanyaguha/data-analysis-titanic-dataset-example", "kernel_id": "11971564"}, {"ref": "souravkumardas/data-analysis-process-titanic-example", "kernel_id": "11971550"}, {"ref": "gabrielbojikian/titanic-competition", "kernel_id": "11847588"}, {"ref": "koanam/notebook-titanic", "kernel_id": "11971763"}, {"ref": "joeyyy/getting-started-with-titanic", "kernel_id": "11741993"}, {"ref": "priyadharshinic/titanic-basic-visualizations", "kernel_id": "11741927"}, {"ref": "sachakulaga/sacha-kulaga-titanic-iris", "kernel_id": "11742889"}, {"ref": "maciejjandollerup/ods-final-portfolio-1b-exam", "kernel_id": "11896040"}, {"ref": "huihuichano/notebooked6d6e2537", "kernel_id": "11762525"}, {"ref": "orhunyildiz/titanic-notebook", "kernel_id": "11869375"}, {"ref": "dhivyadharshni/titanicdhivya", "kernel_id": "11771068"}, {"ref": "yudhagiri/first-try-on-titanic-ml", "kernel_id": "11987485"}, {"ref": "youssefkizou/titanic-using-tensorflow", "kernel_id": "11914258"}, {"ref": "datakagglesem/titanic-data-analysis", "kernel_id": "11769279"}, {"ref": "anujyadav1/decisiontreeclassi1", "kernel_id": "11980710"}, {"ref": "bastiangronager/titanic-dataset-notebook", "kernel_id": "11771794"}, {"ref": "maxwellgreene/r-titanic-lm-glm-randomforest", "kernel_id": "11774856"}, {"ref": "maxwellgreene/python-titanic", "kernel_id": "11775572"}, {"ref": "lwslty/notebooklwslty666", "kernel_id": "11779437"}, {"ref": "cateyes/titanic-eda", "kernel_id": "11935106"}, {"ref": "fernandoabarzua/fernando-abazua-titanic", "kernel_id": "11804506"}, {"ref": "robinliu77/getting-started-with-titanic", "kernel_id": "11797164"}, {"ref": "snjssk/practice-titanic-machine-learning-from-disaster", "kernel_id": "11791262"}, {"ref": "abinayajayaprakash/titanic-data-analysis", "kernel_id": "11790467"}, {"ref": "felippemozer/titanic-r", "kernel_id": "11869234"}, {"ref": "felippemozer/titanic-python", "kernel_id": "11868338"}, {"ref": "russeldi/easy-way-titanic-pycaret", "kernel_id": "11798884"}, {"ref": "indrianaoktav/tugas-4-minggu-4-indriana", "kernel_id": "11801234"}, {"ref": "ivylab/titanic-a-keras-nn-model-with-keras", "kernel_id": "11818246"}, {"ref": "jianghaozahng/notebook53e8070daf", "kernel_id": "11815814"}, {"ref": "frederikjensen2000/nykaggle", "kernel_id": "11896343"}, {"ref": "charmidaftari/titanic-dataset", "kernel_id": "11981861"}, {"ref": "adityab05/titanic-basic-for-beginners-using-decision-tree", "kernel_id": "11829459"}, {"ref": "attapapmaneetoem/22p27w0065-attapap-week2-q02-26-27sep2020", "kernel_id": "11999251"}, {"ref": "bmechonthicha/22p26c0669-week-2-q2-27-9-632", "kernel_id": "11972424"}, {"ref": "tanapatruengsatra/22p22c0021-tanapat-w2hw2-27092020", "kernel_id": "11971468"}, {"ref": "naratipboonbanyen/titanic", "kernel_id": "11988801"}, {"ref": "thevandanasonal/getting-started-with-titanic", "kernel_id": "11838778"}, {"ref": "oumponnipa/22p22n0018-ponnipa-w2hw2-27092020", "kernel_id": "11989183"}, {"ref": "abhayraghuwanshi/kaggle-titanic", "kernel_id": "11903329"}, {"ref": "poomsc/22p21c0080-sakchai-w2hw2-27092020", "kernel_id": "11973241"}, {"ref": "damianweyers/titanic-predictions-with-logistic-regression-2", "kernel_id": "11973212"}, {"ref": "kittisakudomsap/22p25s0168-kittisak-w2hw2-27092020", "kernel_id": "11968371"}, {"ref": "kashifa90/notebook487fe75215", "kernel_id": "11897611"}, {"ref": "louiseberenth/titanic-kaggle-competition", "kernel_id": "11877226"}, {"ref": "amaliedamm/ods-amalie-pagh-damm-qpc157", "kernel_id": "11896125"}, {"ref": "jutaopan/getting-started-with-titanic", "kernel_id": "11875954"}, {"ref": "marissak/getting-started-with-titanic", "kernel_id": "11885068"}, {"ref": "arthurcapelli/titanic", "kernel_id": "11905854"}, {"ref": "shubhkapoor/titanic-logistic", "kernel_id": "11992098"}, {"ref": "jakobpedersen/getting-started-with-titanic", "kernel_id": "11893674"}, {"ref": "kasperstouge/notebookb3b26659be", "kernel_id": "11893635"}, {"ref": "linealbertsen/portfolio-1-b-submission", "kernel_id": "11894707"}, {"ref": "wimrijkssrensen/1btitanicwim", "kernel_id": "11894643"}, {"ref": "josephinenissen/assignment-1b", "kernel_id": "11894634"}, {"ref": "oliverlarsen/portfolio-1-titanic-kaggle-competition", "kernel_id": "11899134"}, {"ref": "marialouisehougesen/1b-hougesen-henriksen", "kernel_id": "11894906"}, {"ref": "andreasdehn/portfolio-1b-submission", "kernel_id": "11933471"}, {"ref": "linekarner/notebook97ea9f9b9c", "kernel_id": "11896383"}, {"ref": "masafumimisawa/get-started-for-titanic", "kernel_id": "11965818"}, {"ref": "ygjang/titanic", "kernel_id": "11917541"}, {"ref": "shashinkumarsachan/titanic-survival-prediction-using-catboost", "kernel_id": "11956551"}, {"ref": "crypto1234/decision-tree-without-ml-libraries", "kernel_id": "11924655"}, {"ref": "mojulius/titanic-eda-wrangling-imputation", "kernel_id": "11925040"}, {"ref": "mojulius/titanic-random-forest-grid-search", "kernel_id": "11986886"}, {"ref": "kenjiyamanaka/titanic-test-ymg", "kernel_id": "11948073"}, {"ref": "merkandras/notebook0d41fffb05", "kernel_id": "11994500"}, {"ref": "nobuakiotani/kaggle-tutorial-02-overview", "kernel_id": "11955348"}, {"ref": "mariacvesterli/randomforestclassifier-age-feat", "kernel_id": "11956243"}, {"ref": "steingruber/pf-predicttry", "kernel_id": "11952719"}, {"ref": "tvj521/decision-tree-without-ml-libraries", "kernel_id": "11955818"}, {"ref": "linepv/lpv-portfolio-1b", "kernel_id": "11960094"}, {"ref": "patharanor/22p11c0686-w2hm2-27092020", "kernel_id": "11967166"}, {"ref": "attilabadi/my-titanic-draft-project", "kernel_id": "11974153"}, {"ref": "yurisalenave/ysalenave-titanic-00", "kernel_id": "11988234"}, {"ref": "yurisalenave/ysalenave-titanic-01-beginner", "kernel_id": "11987814"}, {"ref": "stillsut/code-along-1", "kernel_id": "12745470"}, {"ref": "michaelee/fork-of-cs-100-data-science-022e8c", "kernel_id": "12311140"}, {"ref": "krishnakalyan3/titanic-fast-ai-2-0-tabular-minimal-example", "kernel_id": "12324218"}, {"ref": "tlapusan/deep-dive-decision-tree-interpretation", "kernel_id": "12837886"}, {"ref": "danofer/semi-supervised-anomalies-using-autoencoders-fork", "kernel_id": "12200930"}, {"ref": "harshavardhan0/titanic-classification", "kernel_id": "12756809"}, {"ref": "dwin183287/titanic-machine-learning-from-disaster-eda", "kernel_id": "12817734"}, {"ref": "rajsiddharth/eda-ml-prediction-on-titanic-dataset", "kernel_id": "12214302"}, {"ref": "haroldship/getting-started-with-titanic-using-pytorch", "kernel_id": "12005427"}, {"ref": "chandrahasdhiraj/titanic-the-beginners-approach", "kernel_id": "12846030"}, {"ref": "mineshjethva/learn-python-for-data-science-a-toy-example", "kernel_id": "12820411"}, {"ref": "plusjune/fork-of-notebookf00fe53cea", "kernel_id": "12986778"}, {"ref": "li1127217ye/titanic-wcg-non-wcg", "kernel_id": "12925494"}, {"ref": "saeedsab/titanic-hyperparameter-tuning-with-gridsearchcv", "kernel_id": "12464974"}, {"ref": "sharmasalil/titanic-dataset", "kernel_id": "12783987"}, {"ref": "bjoernholzhauer/will-rose-or-jack-survive-lightgbm-and-shap", "kernel_id": "12790532"}, {"ref": "bjoernholzhauer/lightgbm-tuning-with-optuna", "kernel_id": "12769445"}, {"ref": "jsdae1/titanic-data-analytics", "kernel_id": "12366478"}, {"ref": "yasermarey/predicting-survival-of-titanic-passengers-with-dnn", "kernel_id": "12075878"}, {"ref": "rsesha/kaggle-gcp-automl", "kernel_id": "12338722"}, {"ref": "sbrezani/titanictest", "kernel_id": "12546926"}, {"ref": "raisa3006/semi-supervised-learning-using-autoencoders", "kernel_id": "12533561"}, {"ref": "mibiediger/titanic-model", "kernel_id": "12882276"}, {"ref": "hectorgarrido/simple-decision-tree-model", "kernel_id": "12384839"}, {"ref": "hectorgarrido/some-feature-engineering-and-some-sort-of-ensemble", "kernel_id": "12333879"}, {"ref": "isaienkov/hyperparameters-tuning-techniques", "kernel_id": "12535152"}, {"ref": "dinesh19aug/notebooka1c26f456c", "kernel_id": "12636388"}, {"ref": "nathanzorndorf/titanic-deep-learning-practice-with-keras", "kernel_id": "12902591"}, {"ref": "warothe/end-to-end-titanic-dataset-analysis", "kernel_id": "12530321"}, {"ref": "dcasbol/embedding-modules-trained-with-self-supervision", "kernel_id": "12424770"}, {"ref": "trouser/notebookc3657afd8f", "kernel_id": "12805694"}, {"ref": "fhpratiwi/coba-titanic", "kernel_id": "12774177"}, {"ref": "sevgiyilmaz/titanic-exploring-machine-learning-with-dataiteam", "kernel_id": "12808992"}, {"ref": "juansroa/titanic-competition-jsr", "kernel_id": "12138825"}, {"ref": "ajennings/titanic-gbc-78-2-accuracy", "kernel_id": "12045378"}, {"ref": "jbaek7023/my-first-data-analytics-for-titanic", "kernel_id": "12887367"}, {"ref": "imjuanraymond/titanic-model-prediction", "kernel_id": "12902561"}, {"ref": "gavinjpng/titanic-xgb-rf-ensemble", "kernel_id": "12532968"}, {"ref": "bowdenjr/top-titanic", "kernel_id": "12361556"}, {"ref": "jananisr/titanicprediction", "kernel_id": "12991391"}, {"ref": "bmjdoherty/titanic-notebook", "kernel_id": "12516756"}, {"ref": "wjia26/titanic-tutorial-decision-trees", "kernel_id": "12365169"}, {"ref": "ekrembayar/titanic-classification", "kernel_id": "12767124"}, {"ref": "andygray15/titanic-exploratory-data-analysis-with-kortical", "kernel_id": "12597357"}, {"ref": "joessattes/22p21c0634-sattaya-w2hw2-27092020", "kernel_id": "12069588"}, {"ref": "mrizwansaeed/getting-started-with-titanic-dataset", "kernel_id": "12882554"}, {"ref": "microize/titanic-survival-prediction-sklearn", "kernel_id": "12815367"}, {"ref": "rajeshcv/why-mrs-west-and-not-mr-alfred-survived-titanic", "kernel_id": "12143521"}, {"ref": "kimalamsyah/titanic-with-scikitlearn-logistic-regression", "kernel_id": "12836502"}, {"ref": "kimalamsyah/titanic-logistic-regression-from-scratch", "kernel_id": "12989578"}, {"ref": "josephsha/titanic-prediction-with-neural-network", "kernel_id": "12200065"}, {"ref": "prayog/titanic-pbv-1", "kernel_id": "12191031"}, {"ref": "lnakarin/22p22n0012-nakarin-w2hw2-27092020", "kernel_id": "12000745"}, {"ref": "lashamaev/baseline", "kernel_id": "12428273"}, {"ref": "arbazkhan971/datascience-for-beginner-python", "kernel_id": "12092239"}, {"ref": "arbazkhan971/titanic-survival-everything-that-you-need-to-know", "kernel_id": "12477621"}, {"ref": "srarief/day-1-machine-learning-arief", "kernel_id": "12314656"}, {"ref": "yashk1/first-submission", "kernel_id": "12032955"}, {"ref": "johnhbwalker/titanic-challenge", "kernel_id": "12967139"}, {"ref": "shubhanshu1995/solving-titanic-problem-using-catboost-classifier", "kernel_id": "12265765"}, {"ref": "topinfrassi/titanic-disaster-fe-decision-tree", "kernel_id": "12118772"}, {"ref": "ravikiranbhonagiri/eda-various-classifier-models", "kernel_id": "12284203"}, {"ref": "resilientmax/simple-preprocessing-and-pycaret-demonstration", "kernel_id": "12074459"}, {"ref": "vcaquilpan/notebook-titanic", "kernel_id": "12830773"}, {"ref": "fehlicks/titanic-end-to-end-pipeline", "kernel_id": "12724146"}, {"ref": "lorenzopagliaro01/titanic-models-python-version", "kernel_id": "12828815"}, {"ref": "gsaurabh98/titanic-passenger-survival", "kernel_id": "12627505"}, {"ref": "akashbhiwgade/titanic-ab", "kernel_id": "12023618"}, {"ref": "chalat/titanic-pycaret-classification-example", "kernel_id": "12419930"}, {"ref": "chalat/22p22c0433-w2hw2-27092020", "kernel_id": "12054176"}, {"ref": "eduardorenz/titanic-competition", "kernel_id": "12615041"}, {"ref": "jaidip1994/example-of-using-pipelines-and-cross-validation", "kernel_id": "12437497"}, {"ref": "akhabash/cheatsheet-70-ggplot-charts", "kernel_id": "12049670"}, {"ref": "jfrinak/a-maiden-voyage", "kernel_id": "12224357"}, {"ref": "guruprasad91/titanic-naive-bayes", "kernel_id": "12972696"}, {"ref": "sishihara/python-null-boolean", "kernel_id": "12226639"}, {"ref": "sleepypioneer/titanic-competition", "kernel_id": "12354434"}, {"ref": "alaapdhall/custom-svm-with-numpy-vs-sklearn", "kernel_id": "12114440"}, {"ref": "alaapdhall/custom-k-means-clustering-with-numpy-vs-sklearn", "kernel_id": "12072924"}, {"ref": "marcogorelli/cln-titanic-data-science-solutions", "kernel_id": "12375831"}, {"ref": "rahamanmy/titanic-the-only-notebook-you-need-to-see", "kernel_id": "12081330"}, {"ref": "ljtron/notebook71ccdb2001", "kernel_id": "12348760"}, {"ref": "makarenkomd/test-titanik", "kernel_id": "12974225"}, {"ref": "ahmed1234444/let-s-think-about-titanic", "kernel_id": "12116050"}, {"ref": "vbmokin/ai-ml-ds-training-l1t-titanic-decision-tree", "kernel_id": "12808705"}, {"ref": "leodaniel/my-heart-will-go-on", "kernel_id": "12371117"}, {"ref": "sara77/titanic-predictions", "kernel_id": "12648818"}, {"ref": "hfkh77/titanic-compeition", "kernel_id": "12152870"}, {"ref": "agarwalpeeush/data-exploration", "kernel_id": "12087244"}, {"ref": "dbsimpson/multiple-models-for-titanic-data-set", "kernel_id": "12298260"}, {"ref": "khalidjeffal/getting-started-with-titanic", "kernel_id": "12424787"}, {"ref": "cristianfat/titanic", "kernel_id": "12065195"}, {"ref": "cristianfat/titanic-torch", "kernel_id": "12203311"}, {"ref": "rahulbana/eda-titanic-ml", "kernel_id": "12745923"}, {"ref": "harkiratkaur/getting-started-with-titanic-competition", "kernel_id": "12894451"}, {"ref": "endidcs/titanic-pt-br", "kernel_id": "12976590"}, {"ref": "swapnil3597/titanic-feature-engineering-well-commented", "kernel_id": "12743785"}, {"ref": "cupniconiconi/getting-started-with-titanic", "kernel_id": "12128871"}, {"ref": "xenakas/notebook1317e9fd24", "kernel_id": "12826168"}, {"ref": "anhtu96/titanic-baseline", "kernel_id": "12110094"}, {"ref": "merril16/titanic-81", "kernel_id": "12609765"}, {"ref": "ashiqueeelahi/titanic-easy-solution-for-beginners", "kernel_id": "12349181"}, {"ref": "chomtana/22p21c0642-w2hw2-27092020", "kernel_id": "12184918"}, {"ref": "tanushri98/titanic-survival-prediction", "kernel_id": "12112939"}, {"ref": "peterpetrov826/titatic-with-catboost", "kernel_id": "12587948"}, {"ref": "anvkom/notebookebf260bdfd", "kernel_id": "12686500"}, {"ref": "tolgacetindag/emir-tolga-cetindag-titanic-eda", "kernel_id": "12704976"}, {"ref": "juandalibaba/titanic-juanda", "kernel_id": "12419509"}, {"ref": "pinstripezebra/titanic-competition", "kernel_id": "12766103"}, {"ref": "svkmsr6/titanic-hackathon", "kernel_id": "12077218"}, {"ref": "ryanchun/titanic-framework", "kernel_id": "12129405"}, {"ref": "jakkrits/22p24i0146-jakkrit-w2hw2-27092020", "kernel_id": "12003208"}, {"ref": "salmaeng/onehotencoder", "kernel_id": "12942757"}, {"ref": "bhaskar47/an-ensemble-approach-to-titanic", "kernel_id": "12426773"}, {"ref": "alihanozmm/titanic-keras-lightgbm", "kernel_id": "12215947"}, {"ref": "ghins123/titan-dti", "kernel_id": "12873187"}, {"ref": "waritthon/22p21s0405-waritthon-w2hw2-27092020", "kernel_id": "12002845"}, {"ref": "claesfalth/notebook0c11411ed6", "kernel_id": "12489952"}, {"ref": "merche/miner-a-de-datos-pr-ctica-1", "kernel_id": "12380120"}, {"ref": "lisamartyanova/lisa-martyanova-ha2-titanic", "kernel_id": "12508972"}, {"ref": "arem5li/titanic-datanalysis", "kernel_id": "12280469"}, {"ref": "ihavesuperpowers2/titanic-data-analysis-logistic-regression-12ff7b", "kernel_id": "12428745"}, {"ref": "ihavesuperpowers2/titanic-data-analysis-logistic-regression", "kernel_id": "12282168"}, {"ref": "bhargav28/notebook208c4fdced", "kernel_id": "12222660"}, {"ref": "lllakal/ha2-il-zaytsev", "kernel_id": "12599055"}, {"ref": "cedricsvrn/svc-predictor", "kernel_id": "12478372"}, {"ref": "lokkagle/titanic-eda", "kernel_id": "12873239"}, {"ref": "adamdavis99/titanic-1-fastai-xgboost", "kernel_id": "12835405"}, {"ref": "chanbask007/titanic-survivals-project", "kernel_id": "12123009"}, {"ref": "aunch009/22p26s0100-aunchana-w2hw2-27092020", "kernel_id": "12077044"}, {"ref": "mindalatseoul/simple-classification-machine-learning-practice", "kernel_id": "12002403"}, {"ref": "stone007/mmai-5000-assignment-2", "kernel_id": "12925645"}, {"ref": "akoraingdkb/dkb-titanic", "kernel_id": "12865899"}, {"ref": "henriquedezani/semac-20-curso-de-ml-com-kaggle-e-titanic", "kernel_id": "12300205"}, {"ref": "worawit/simple-classification-ds-nb-and-nn", "kernel_id": "12121899"}, {"ref": "mgondowijoyo/titanic", "kernel_id": "12010332"}, {"ref": "swofde/baseline", "kernel_id": "12430679"}, {"ref": "natkth/22p25e0023-w2hw2-27092020", "kernel_id": "12163765"}, {"ref": "subinium/awesome-visualization-with-titanic-dataset", "kernel_id": "12736597"}, {"ref": "subinium/all-you-need-is-time-series-visualization-20", "kernel_id": "12888652"}, {"ref": "soham1024/plotly-all-visualizations", "kernel_id": "12484299"}, {"ref": "soham1024/know-about-different-automl-frameworks", "kernel_id": "12022920"}, {"ref": "abhijeet888/titanic-submission", "kernel_id": "12410531"}, {"ref": "ouwyukha/day-1-machine-learning-yukha-dharmeswara", "kernel_id": "12316111"}, {"ref": "ouwyukha/day-1-machine-learning-yukha", "kernel_id": "12298849"}, {"ref": "ouwyukha/day-1-additional-material-chi-squared-test", "kernel_id": "12298743"}, {"ref": "ouwyukha/exploratory-data-analysis-tutorial", "kernel_id": "12298831"}, {"ref": "bhavikpandya79/titanic-bhpandya", "kernel_id": "12764996"}, {"ref": "junaidrahim/titanic-dataset", "kernel_id": "12525890"}, {"ref": "sumitkumar9865/notebook-for-beginners", "kernel_id": "12020060"}, {"ref": "crisnandrarm/project-titanic", "kernel_id": "12874726"}, {"ref": "kart1905/notebook705f6f645b", "kernel_id": "12595389"}, {"ref": "melihzgvnc/simple-analysing-and-modeling-of-titanic-dataset", "kernel_id": "12110065"}, {"ref": "ponmani4/titanic-classifier-binary", "kernel_id": "12645838"}, {"ref": "daveaditya/eda-on-titanic-dataset", "kernel_id": "12686353"}, {"ref": "ayushmehar7/titanic-dataset-76", "kernel_id": "12389844"}, {"ref": "hackonion/titanic-whit-decisiontreeclassifier", "kernel_id": "12408003"}, {"ref": "nastyatsepyuk/titanic-knn-logistic-regression-random-forest", "kernel_id": "12574882"}, {"ref": "assulthoni/titanic-dti", "kernel_id": "12874907"}, {"ref": "gissaonilu/getting-started-with-titanic", "kernel_id": "12986608"}, {"ref": "arnaldobjj/titanic-my-first-machine-learning", "kernel_id": "12397906"}, {"ref": "jirakst/titanic", "kernel_id": "12110717"}, {"ref": "ayesha16/titanic-ay", "kernel_id": "12674654"}, {"ref": "uzaifa/titanic-vision", "kernel_id": "12443743"}, {"ref": "arunnj/getting-started-with-ml-titanic-disaster", "kernel_id": "12945881"}, {"ref": "atichat45/22p21s0349-atichat-w2hw2-08102020", "kernel_id": "12162244"}, {"ref": "xmorera/titanic-ia-01", "kernel_id": "12037409"}, {"ref": "qaisar95/titanic4-10-2020", "kernel_id": "12084336"}, {"ref": "superizqi/predicting-the-survival-of-titanic-passengers", "kernel_id": "12875943"}, {"ref": "sumitdon/titanic-my-first-notebook", "kernel_id": "12541308"}, {"ref": "redwankarimsony/titanic-with-rf-lr-knn-svm-ensemble", "kernel_id": "12477276"}, {"ref": "redwankarimsony/titanic-the-final-voyage", "kernel_id": "12485520"}, {"ref": "baba4121/titanic-my-first-ml-competition", "kernel_id": "12694444"}, {"ref": "lhernand/titanic-advanced", "kernel_id": "12958303"}, {"ref": "tobiasbueck/titanic-survival-prediction", "kernel_id": "12032510"}, {"ref": "first1801/22p21c0082-w2q2-27092020", "kernel_id": "12077927"}, {"ref": "saketraj1102/titanic-dataset", "kernel_id": "12435806"}, {"ref": "ektanat/22p26c0501-ektanat-w2hw2-27092020", "kernel_id": "12110483"}, {"ref": "burakhrmn/titanic-eda", "kernel_id": "12822214"}, {"ref": "fold10/titanic-1-fastai-beginner-tutorial-revisited", "kernel_id": "12690828"}, {"ref": "mehaksethi54/titanic-predictions", "kernel_id": "12732802"}, {"ref": "yangsudlor/titanic", "kernel_id": "12004147"}, {"ref": "alfhi24/yang-penting-bisa", "kernel_id": "12872765"}, {"ref": "vera1975/titanic-trial", "kernel_id": "12858896"}, {"ref": "kaustubhshirpurkar/exploring-titanic-data-using-pandas-dataframes", "kernel_id": "12143326"}, {"ref": "rudiwowot/day-1-machine-learning-rudi-s", "kernel_id": "12315297"}, {"ref": "meidytata/notebookd5caf58e1a", "kernel_id": "12873151"}, {"ref": "brunopasini/titanicbeedata", "kernel_id": "12614617"}, {"ref": "meetshah96/titanic-survival", "kernel_id": "12541964"}, {"ref": "firatkali/exploratory-d-a-and-feat-eng-iris-dataset", "kernel_id": "12826090"}, {"ref": "zethione/titanic-guide-with-sklearn-and-eda", "kernel_id": "12626730"}, {"ref": "zethione/titanic-eda-tutorial-with-seaborn", "kernel_id": "12626645"}, {"ref": "yeshwanth07/cs-100-data-science", "kernel_id": "12540425"}, {"ref": "sunilrinald/dtrees-sunil", "kernel_id": "12429393"}, {"ref": "sunilrinald/intro-to-r-part-24-hypothesis-testing", "kernel_id": "12150865"}, {"ref": "entz357/22p22c0006-keetawat-w2hw2-27092020", "kernel_id": "12092599"}, {"ref": "umitoguz/titanic-ml-test", "kernel_id": "12415305"}, {"ref": "hamdi1/titanic-or-dietanic", "kernel_id": "12165576"}, {"ref": "dansiwiec/titanic", "kernel_id": "12422738"}, {"ref": "handanankarali/handan-ankarali2", "kernel_id": "12985201"}, {"ref": "vasudev03/titanic-attempt-after-intermediate-lesson", "kernel_id": "12080489"}, {"ref": "anirudhchauhan/titanic-dataset-top-7-eda-and-prediction", "kernel_id": "12267793"}, {"ref": "apriandito/r-titanic-prediction", "kernel_id": "12845136"}, {"ref": "proxyht/majority-voting-ensemble", "kernel_id": "12217215"}, {"ref": "chimmu/titanic", "kernel_id": "12969181"}, {"ref": "anastasianazarenko/titanic-competition", "kernel_id": "12546903"}, {"ref": "swapnilbhange/titanic-eda-preprocessing", "kernel_id": "12727467"}, {"ref": "surenj/titanic-ensemble", "kernel_id": "12158223"}, {"ref": "krishnakrgupta1997/titanic-notebook", "kernel_id": "12390614"}, {"ref": "edaersu/titanic-eda", "kernel_id": "12735866"}, {"ref": "kyoshioka47/titanic-starter-k-folds-lightgbm", "kernel_id": "12872507"}, {"ref": "shubhamarle/titanic-neural-network-for-beginners", "kernel_id": "12226438"}, {"ref": "adityadutt/knn-decisiontree", "kernel_id": "12228101"}, {"ref": "rithik27/titanic-survival-prediction", "kernel_id": "12325495"}, {"ref": "chediak/titanic-basic-solution-using-adaboost", "kernel_id": "12949139"}, {"ref": "thitinan/22p27s0093-thitinan-w2hw2-27092020", "kernel_id": "12180543"}, {"ref": "panuwatulis/titanic-data-set-baseline-model", "kernel_id": "12289793"}, {"ref": "seantierney1/titanic-tierney", "kernel_id": "12320457"}, {"ref": "queenelizabeth1/notebookdc6c77b9bb", "kernel_id": "12136533"}, {"ref": "kbjbow/22p21s119-kanokwan-w2hw2-27092020", "kernel_id": "12022442"}, {"ref": "nomihsa965/titanic-eda-features-engineering", "kernel_id": "12054475"}, {"ref": "nomihsa965/titanic-features-selection-modeling", "kernel_id": "12127971"}, {"ref": "aquaregis32/titanic-survival-prediction", "kernel_id": "12749103"}, {"ref": "jerichojericho/titanic-ml-decision-tree", "kernel_id": "12586378"}, {"ref": "mohamedhanyyy/titanic-competition-using-r", "kernel_id": "12592213"}, {"ref": "cylik93/titanic-data-science-solutions", "kernel_id": "12027738"}, {"ref": "calcium1992/titanic-knn-accu0-77", "kernel_id": "12632855"}, {"ref": "ajaysinggh/titanic", "kernel_id": "12001256"}, {"ref": "isurualagiyawanna/titanic-disaster-prediction-with-dnn-rf-grid", "kernel_id": "12552401"}, {"ref": "billykai/22p25c0864-surasak-w2hw2-27092020", "kernel_id": "12163215"}, {"ref": "mvsharma98/titanic-dataset-model-comparison", "kernel_id": "12316450"}, {"ref": "patpon/22p24n0002-question-27-09-20-revised-1", "kernel_id": "12106284"}, {"ref": "bofangli/titanic-eda-with-detailed-explanation", "kernel_id": "12875239"}, {"ref": "gearwalker/22p21c0415-tanapon-w2hw2-27092020", "kernel_id": "12189577"}, {"ref": "andreispurim/workshop-respostas", "kernel_id": "12733047"}, {"ref": "kannikawiratchawa/22p21i0032-kannika-w2hw2-27092020", "kernel_id": "12111358"}, {"ref": "nischaynamdev/notebook47a5094b19", "kernel_id": "12975920"}, {"ref": "kwjcndocjn/tensorflow-for-titanic", "kernel_id": "12444287"}, {"ref": "denis07/project-of-titanic", "kernel_id": "12169678"}, {"ref": "tuanoy/22p22c0395-suppavut-w2hw227092020", "kernel_id": "12130928"}, {"ref": "tharhtetsan/getting-start-with-sample", "kernel_id": "12224133"}, {"ref": "imamrizaldi28/day-1-machine-learning-imamrizaldi", "kernel_id": "12315145"}, {"ref": "livandiogenskiy/start-on-titanic", "kernel_id": "12031870"}, {"ref": "dindaputriany/notebookab848c4a36", "kernel_id": "12875032"}, {"ref": "risdaafriyani/day-1-machine-learning-risda", "kernel_id": "12315209"}, {"ref": "areegtarek/titanic-machine-learning-from-disaster", "kernel_id": "12238949"}, {"ref": "sanxuwen/22p22c0796-chanakarn-hw2", "kernel_id": "12008941"}, {"ref": "raulcb98/titanic-ml-competition", "kernel_id": "12611111"}, {"ref": "chs3846/titanic-practice", "kernel_id": "12127865"}, {"ref": "alankaraevefmsu/hw-2-karaev", "kernel_id": "12579978"}, {"ref": "jaydeepdixit/testing-titanic-with-multiple-models", "kernel_id": "12076721"}, {"ref": "petchsko/22p26c0298-petchakrit-w2hw2-27092020", "kernel_id": "12103233"}, {"ref": "mahmoudnabil97/titanic-ship", "kernel_id": "12318315"}, {"ref": "tanjackfong88/getting-started-with-titanic", "kernel_id": "12000698"}, {"ref": "nonborghini/light-gbm", "kernel_id": "12454832"}, {"ref": "abp0202/getting-started-with-titanic", "kernel_id": "12415717"}, {"ref": "gtoledorodriguez/cs-100-data-science-236b52", "kernel_id": "12539582"}, {"ref": "neveen2001/cs-100-data-science-189702", "kernel_id": "12445551"}, {"ref": "jordaoalves/classifica-o-do-dataset-pima-com-pycaret", "kernel_id": "12651435"}, {"ref": "kabier/lets-save-jack", "kernel_id": "12779645"}, {"ref": "aleron751/aleron-notebook-titanik", "kernel_id": "12825205"}, {"ref": "shwetaketu/titanic-dataset-eda-and-sample-models", "kernel_id": "12565312"}, {"ref": "ritikkesharwani/titanic-survival-prediction-top-30", "kernel_id": "12542939"}, {"ref": "ayushjoshi181999/task6", "kernel_id": "12180932"}, {"ref": "kritsatornsaengweang/22p21c0932-kritsatorn-w2hw2-08102020", "kernel_id": "12160785"}, {"ref": "andreasettimo/titanic-predict-survived-people", "kernel_id": "12667960"}, {"ref": "antonkhmv/titanic", "kernel_id": "12703325"}, {"ref": "jammasathwik/numpy-from-scratch-for-beginners", "kernel_id": "12982938"}, {"ref": "ngainoriko/math-4995-project1", "kernel_id": "12041270"}, {"ref": "alejandrorojasv/notebook1ac35c0665", "kernel_id": "12053452"}, {"ref": "abdelrahmanmuhammad/data-science-titanic", "kernel_id": "12615158"}, {"ref": "krismes/22p26c0133-krittameth-w2hw2-27092020", "kernel_id": "12007159"}, {"ref": "forestleblanc/titanicproblem", "kernel_id": "12362717"}, {"ref": "avhisheksingh/final-titanic-project", "kernel_id": "12912471"}, {"ref": "firehawk99/fods-case-study-titanic", "kernel_id": "12990616"}, {"ref": "hotafaljuhani/sda-titanic-full-eda", "kernel_id": "12745051"}, {"ref": "gajeshbhat/cs9860-assignment-1-predicting-survival-on-titanic", "kernel_id": "12511566"}, {"ref": "sangyunkang/classification-models-in-python", "kernel_id": "12394206"}, {"ref": "siddharthswaroop/a-guide-to-handling-missing-values-in-python", "kernel_id": "12899046"}, {"ref": "aisyahnurulhaqi/notebook3de0caa869", "kernel_id": "12729999"}, {"ref": "seniorkarn/22p26n0176-w2hw2-27092020", "kernel_id": "12182755"}, {"ref": "suhasinikonimeti/notebooka86b987f16", "kernel_id": "12363428"}, {"ref": "bgov600/titenic-problem-analysis", "kernel_id": "12254632"}, {"ref": "carlmcbrideellis/absolute-beginners-titanic-eda-using-dabl", "kernel_id": "12108452"}, {"ref": "rachmaindira/notebook2878b7d619", "kernel_id": "12874828"}, {"ref": "rahele925574/titanic", "kernel_id": "12432408"}, {"ref": "rahele925574/titanic-ml", "kernel_id": "12432880"}, {"ref": "rahele925574/titanic-machine-learning", "kernel_id": "12431911"}, {"ref": "rahele925574/notebookfe3f7a1d3d", "kernel_id": "12421864"}, {"ref": "lawrenceho/getting-started-with-titanic", "kernel_id": "12488024"}, {"ref": "nikitadobrolyubov/titanic-random-forest-87-5-accuracy", "kernel_id": "12107217"}, {"ref": "poonamvermaa/titanic-first-kaggle-competition", "kernel_id": "12058740"}, {"ref": "matejhorvat/xgboost", "kernel_id": "12609930"}, {"ref": "ibrahimyildiz/titanic-eda", "kernel_id": "12143722"}, {"ref": "snehaas/titanic-dataset", "kernel_id": "12648389"}, {"ref": "utkarshkumar153/so-who-survived-on-titanic", "kernel_id": "12587996"}, {"ref": "suteekshnmahajan/titanicsurvivalrate", "kernel_id": "12411541"}, {"ref": "boycetsui/getting-started-with-titanic", "kernel_id": "12564659"}, {"ref": "ryoryota/kaggle-titanic-hayashi-ryota", "kernel_id": "12428905"}, {"ref": "khyati2102/data-science-approach-titanic", "kernel_id": "12215863"}, {"ref": "boriratk/22p21n0072-w2h2-27092020", "kernel_id": "12186453"}, {"ref": "enesbakesen/first-data", "kernel_id": "12111761"}, {"ref": "nicholascotter/notebook306c10b11f", "kernel_id": "12399304"}, {"ref": "jaranaisrikrajarng/22p24c0456-jaranai-w2hw2-27092563", "kernel_id": "12112735"}, {"ref": "nonggai/22p21c0877-chonchanan-2-20200927", "kernel_id": "12039356"}, {"ref": "suman2verma/titanic-model", "kernel_id": "12414486"}, {"ref": "kshreekabi/kshree-titanic-1", "kernel_id": "12040735"}, {"ref": "lirilkumaramal/titanic-survival-prediction-classification", "kernel_id": "12748282"}, {"ref": "hashimchaudry/titanic-a-basic-ensemble-approach-to-get-top-4", "kernel_id": "12185937"}, {"ref": "muslimbabaev/titanic-a-clear-short-ensembling-pipeline", "kernel_id": "12543951"}, {"ref": "vascodegama/automated-seaborn-plot-functions", "kernel_id": "12220663"}, {"ref": "pawutjingjit/22p26c0377-pawut-week-2-question-2", "kernel_id": "12175935"}, {"ref": "ertuncogulcan/titanic-eda", "kernel_id": "12569197"}, {"ref": "samyakuttam/titanic-machine-learning-from-disaster", "kernel_id": "12127958"}, {"ref": "sagarjiyani/titanic-84-accuracy", "kernel_id": "12839194"}, {"ref": "arunaakula/titanic-20", "kernel_id": "12679920"}, {"ref": "mostafaomar/titanic-disaster-classification-for-beginners", "kernel_id": "12082524"}, {"ref": "motomigirl/notebook33711ce808", "kernel_id": "12428904"}, {"ref": "aligzm/machine-learning-for-titanic", "kernel_id": "12097338"}, {"ref": "quentinpuzenat/titanic-logistic-regression", "kernel_id": "12613339"}, {"ref": "sirasitboonklang/22p21s0397-sirasit-w2hw2-27092020", "kernel_id": "12190231"}, {"ref": "prashantoza/titanic-feature-engineering", "kernel_id": "12701452"}, {"ref": "yesdeepakmittal/survival-prediction-using-ml", "kernel_id": "12800420"}, {"ref": "tug004/ensembling-ml-techniques-cookbook-80-accuracy", "kernel_id": "12605771"}, {"ref": "piyapongwongkhunkaew/22p21i0012-piyapong-w2hw2-07102020", "kernel_id": "12133785"}, {"ref": "russialv/majority-voting-ensemble", "kernel_id": "12205741"}, {"ref": "selvata/titanic-eda", "kernel_id": "12091500"}, {"ref": "markusmller/r-learning-by-doing", "kernel_id": "12003162"}, {"ref": "laosdata/titanic-lightautoml", "kernel_id": "12186601"}, {"ref": "eshaadutta/titanic-surviver-prediction", "kernel_id": "12471120"}, {"ref": "sorraponmongkonsook/22p21c0071-sorrapon-w2hw2-270920", "kernel_id": "12131992"}, {"ref": "jaiminpandya8/titanic-ensemble-learning-of-random-forest-ann", "kernel_id": "12143651"}, {"ref": "yuliiakanarovska/titanic-competition-combined-models", "kernel_id": "12530601"}, {"ref": "treepop21/22p23c0778-treepop-w2hw2-27092020", "kernel_id": "12002989"}, {"ref": "alamdzikriluthfi/perfectless", "kernel_id": "12873031"}, {"ref": "tarunkeshu/notebook0a870d4eb8", "kernel_id": "12599160"}, {"ref": "vadim2011/my-titanic-test1", "kernel_id": "12476484"}, {"ref": "iamrahulramesh/predicting-survivors-using-logistic-regression", "kernel_id": "12251570"}, {"ref": "azizlmrisse/titanic-compete", "kernel_id": "12149238"}, {"ref": "thkim184/getting-started-with-titanic", "kernel_id": "12015624"}, {"ref": "huseyintas/titanic-eda", "kernel_id": "12789653"}, {"ref": "ahmedraf3/titanic", "kernel_id": "12261697"}, {"ref": "vaibhavkumar808/titanic-v2", "kernel_id": "12816495"}, {"ref": "nityanandanp/titanic-ml-challenge-beginners", "kernel_id": "12464605"}, {"ref": "raghulsundaram/notebookd24b793eb0", "kernel_id": "12996896"}, {"ref": "danielbethell/titanic-survival-prediction-improved", "kernel_id": "12704490"}, {"ref": "javagarm/useful-python-libraries-for-data-science", "kernel_id": "12549577"}, {"ref": "javagarm/my-first-note-titanic-survival-prediction-eda", "kernel_id": "12073436"}, {"ref": "sonamagarwal70/titanic-first", "kernel_id": "12420868"}, {"ref": "sonamagarwal70/titanic2", "kernel_id": "12991431"}, {"ref": "jonasumlauft/gaussian-process-classification-kernel-benchmark", "kernel_id": "12392871"}, {"ref": "melaniesoek/titanic-model-stacking-oversampling", "kernel_id": "12736252"}, {"ref": "wilsenwidjaja/titanic", "kernel_id": "12872669"}, {"ref": "yehoonjoo/titanic-survival-with-ml", "kernel_id": "12407202"}, {"ref": "ilkeryildiz/rfm-segmentation", "kernel_id": "12493626"}, {"ref": "vladimiraolteanu/titanic-survival-ensemble-approach", "kernel_id": "12677387"}, {"ref": "batuhanayyldz/titanic", "kernel_id": "12956342"}, {"ref": "ritikpnayak/eda-more-people-who-paid-less-died", "kernel_id": "12976346"}, {"ref": "ivochula/titanic-analysis-with-rf-first-notebook", "kernel_id": "12726043"}, {"ref": "daalex/titanic-an-ml-intro", "kernel_id": "12512543"}, {"ref": "sadanalog/22p21c0280-isada-w2hw2-27092020", "kernel_id": "12132285"}, {"ref": "karenjewell/competition-titanic", "kernel_id": "12007285"}, {"ref": "chachiawacef/titanic-92-accuracy", "kernel_id": "12985401"}, {"ref": "chinnatiptaemkaeo/22p24c0002-chinnatip-02-27sep2020", "kernel_id": "12085930"}, {"ref": "ericoliveiragomes/eda-titanic", "kernel_id": "12672297"}, {"ref": "hansfranke/titanic-ads", "kernel_id": "12281997"}, {"ref": "parthpatel13/project-titanic-dataset", "kernel_id": "12658013"}, {"ref": "monishareddy9/getting-started-with-titanic", "kernel_id": "12220926"}, {"ref": "germanoyoneda/titanic-eda-prediction", "kernel_id": "12911666"}, {"ref": "salandrinirusha/getting-started-with-titanic", "kernel_id": "12392976"}, {"ref": "dmkravtsov/4-4-titanic-simple-approach", "kernel_id": "12435647"}, {"ref": "jinayjain/passenger-survival-rate-of-titanic", "kernel_id": "12132046"}, {"ref": "priyammehta/titanic-analysis-by-beginner-for-begineers", "kernel_id": "12639892"}, {"ref": "devishribalasundaram/titanic-feature-engineering-model-83", "kernel_id": "12432497"}, {"ref": "erengugu/titanic-eda-logreg-svc-knn-accuracy-86", "kernel_id": "12172273"}, {"ref": "erengugu/titanic-eda-classification", "kernel_id": "12114443"}, {"ref": "mradusky/titanicmr191020", "kernel_id": "12377416"}, {"ref": "karishmayadav/titanic-survival-prediction-kari", "kernel_id": "12018244"}, {"ref": "viveksr07/titanic-eda", "kernel_id": "12778551"}, {"ref": "ravikarthik/titanic-competition-a-beginner-s-try", "kernel_id": "12597232"}, {"ref": "souravisinha/titanic-notebook-with-complete-workflow", "kernel_id": "12584338"}, {"ref": "blackhurt/simple-steps-to-follow-to-be-in-top-20", "kernel_id": "12001676"}, {"ref": "blackhurt/notebook2f2aad55dd", "kernel_id": "12774352"}, {"ref": "juliasays/titanic-thing-1", "kernel_id": "12145838"}, {"ref": "imdevez/top-2-the-only-notebook-u-need-to-see", "kernel_id": "12295217"}, {"ref": "nalkrolu/analysis-and-classification-of-titanic-data", "kernel_id": "12827696"}, {"ref": "ahmedshahien/titanic-with-94-score", "kernel_id": "12576790"}, {"ref": "aeryss/titanic-insightful-eda-and-catboost-gbdt", "kernel_id": "12722265"}, {"ref": "debikabanerjee/notebook2b4f461bea", "kernel_id": "12541430"}, {"ref": "amankumardwivedi/notebook3b3040ae3b", "kernel_id": "12887739"}, {"ref": "mohamedelwaghf/top-11-simple-model-for-novices", "kernel_id": "12274967"}, {"ref": "skysingh/titanicnotebook", "kernel_id": "12369813"}, {"ref": "jolchavas/my-first-true-titanic-data-analysis", "kernel_id": "12106898"}, {"ref": "guilhermematunaga/gui-titanic-survival-predictions", "kernel_id": "12711051"}, {"ref": "yusukekono/first-titanic", "kernel_id": "12669155"}, {"ref": "yusukekono/second-titanic", "kernel_id": "12672339"}, {"ref": "wisarutgolf/22p21c0568-w2hw2-27092020", "kernel_id": "12169362"}, {"ref": "julientre/titanic", "kernel_id": "12554270"}, {"ref": "markuslill/my-titanic-data-preparation-journey", "kernel_id": "12166932"}, {"ref": "renancarvalho/titanic-v0", "kernel_id": "12692925"}, {"ref": "schalkwburger/titanic-naive-bayes", "kernel_id": "12800537"}, {"ref": "schalkwburger/titanic-catboost", "kernel_id": "12800654"}, {"ref": "schalkwburger/titanic-logistic-regression", "kernel_id": "12800480"}, {"ref": "schalkwburger/titanic-random-forest", "kernel_id": "12800576"}, {"ref": "schalkwburger/titanic-decision-tree-entropy", "kernel_id": "12800380"}, {"ref": "schalkwburger/titanic-svm-rbf-kernel", "kernel_id": "12800023"}, {"ref": "divyanshuusingh/exploring-machine-learning-algorithms", "kernel_id": "12180021"}, {"ref": "padmanabhabanerjee/a-noob-s-first-approach-to-the-titanic-dataset", "kernel_id": "12918821"}, {"ref": "prasanthramchandra/titanic-pr", "kernel_id": "12585054"}, {"ref": "vamsikrishna1696/titanic-pred", "kernel_id": "12794204"}, {"ref": "tanmoyx/titanic-prediction-xgboost", "kernel_id": "12121850"}, {"ref": "sudhakordassubeen/titanic-survival-analysis-with-xgboost", "kernel_id": "12086511"}, {"ref": "tomonorisasaki/simple-eda-and-svm", "kernel_id": "12072747"}, {"ref": "rahulsinghrs/titanic", "kernel_id": "12459914"}, {"ref": "maleroy/titanic-survival-predictions", "kernel_id": "12201160"}, {"ref": "pongsakboonpalit/22p22e0012-pongsak-w2hw2-27092020", "kernel_id": "12090021"}, {"ref": "jains9269/notebookbf0a8bbf98", "kernel_id": "12578643"}, {"ref": "lionelpyae/firstkagglecompetition-titanic", "kernel_id": "12988814"}, {"ref": "roinaftali/titanic-competition", "kernel_id": "12930335"}, {"ref": "shankardayalmishra/titanic-notebook", "kernel_id": "12395840"}, {"ref": "shuditkumar/notebook50167ce732", "kernel_id": "12261752"}, {"ref": "santhraul/titanic-machine-learning-from-disaster", "kernel_id": "12839167"}, {"ref": "yunchuangao/titanic-framework-review", "kernel_id": "12226490"}, {"ref": "sifodhara/titanic-prediction-using-xgboost", "kernel_id": "12304643"}, {"ref": "sifodhara/titanic-prediction-using-random-forest-adaboost", "kernel_id": "12170052"}, {"ref": "rajatkumar30/titanic-dataset-competition", "kernel_id": "12286498"}, {"ref": "de4fening/titanic", "kernel_id": "12800933"}, {"ref": "yaminiharikrishnan/76-competition-score-titanic-survival-prediction", "kernel_id": "12443810"}, {"ref": "yudhishthirsingh/titanic-referred-from-ken-jee-s-solution", "kernel_id": "12735700"}, {"ref": "yudhishthirsingh/your-first-eda", "kernel_id": "12695238"}, {"ref": "havtave/titanic", "kernel_id": "12317942"}, {"ref": "f0rrest/titanic-data-using-pipeline", "kernel_id": "12327772"}, {"ref": "eri24816/titanic", "kernel_id": "12706782"}, {"ref": "mariagaldina/titanic-dataset", "kernel_id": "12350550"}, {"ref": "ratton233/notebook0777cb0135", "kernel_id": "12606964"}, {"ref": "merbahar/titanic", "kernel_id": "12509566"}, {"ref": "szmuldavid/titanic-keras", "kernel_id": "12098447"}, {"ref": "dicled/3-titanic", "kernel_id": "12904444"}, {"ref": "korfanakis/titanic-a-beginner-friendly-approach-to-top-3", "kernel_id": "12492191"}, {"ref": "ayooluwabeloved/titanic-dataset", "kernel_id": "12529061"}, {"ref": "vittavatphucharoen/22p26s0340-vittavat-w2hw2-27092020", "kernel_id": "12057829"}, {"ref": "smitmalik/titanic5", "kernel_id": "12684942"}, {"ref": "anilaliashvili/titanic-random-forest", "kernel_id": "12593382"}, {"ref": "anilaliashvili/titanic-logistic", "kernel_id": "12579886"}, {"ref": "anastemouden/titanic", "kernel_id": "12289658"}, {"ref": "dzehtsiarou/titenic", "kernel_id": "12570655"}, {"ref": "gauravmehta13/titanic-machine-learning-from-disaster-eda", "kernel_id": "12585466"}, {"ref": "gauravmehta13/how-to-approach-any-ml-problem", "kernel_id": "12705715"}, {"ref": "nathantimothyhandoko/random-forest-feature-engineering-titanic", "kernel_id": "12091804"}, {"ref": "nathantimothyhandoko/insights-and-eda-from-titanic-dataset", "kernel_id": "12101511"}, {"ref": "niteshsaini/titanic-competition", "kernel_id": "12818122"}, {"ref": "swetash/getting-started-with-titanic", "kernel_id": "12328466"}, {"ref": "nandinisingh05/nandini", "kernel_id": "12495449"}, {"ref": "kkjira/22p25c0762-w2hw2-27092020", "kernel_id": "12094527"}, {"ref": "mewqwert/22p21c0286-w2hw2-27092020", "kernel_id": "12112069"}, {"ref": "matthiasmatulla/titanic-divide-men-women-0-81578", "kernel_id": "12072456"}, {"ref": "rajashreedahal/titanic-notebook", "kernel_id": "12061850"}, {"ref": "kkeveryday/titanic-rf", "kernel_id": "12441241"}, {"ref": "emrzcn/titanic-data-visualization-analysis-and-predict", "kernel_id": "12402993"}, {"ref": "islamelsayed7/titanic", "kernel_id": "12406602"}, {"ref": "danylofatieiev/comparing-different-models-titanic-competition", "kernel_id": "12664204"}, {"ref": "christianroman/titanic-dea-survival-prediction-model-beginner", "kernel_id": "12422222"}, {"ref": "natthananbhukan/22p21c0253-natthanan-w2hw2-27092020", "kernel_id": "12004412"}, {"ref": "priyankarao18/titanic-case-study-logistic-regression", "kernel_id": "12511608"}, {"ref": "akenforcer/22p21c0763-w2hw2-27092020", "kernel_id": "12183990"}, {"ref": "prathameshbhalekar/eda-and-modelling-for-titanic-dataset", "kernel_id": "12584083"}, {"ref": "shubhamsindal0098/titanic-tutorial", "kernel_id": "12161594"}, {"ref": "nicolasbourriez/titanic-pytorch-nn", "kernel_id": "12233689"}, {"ref": "josiahmurray/titanic-submission", "kernel_id": "12194157"}, {"ref": "tracyporter/titanic-one-hot-encoding-log-reg-cv", "kernel_id": "12047224"}, {"ref": "chidsanuphong/22p21s0092-q02-2020-09-27", "kernel_id": "12042902"}, {"ref": "rayaworasawate/22p21c0355-w2hw2-27092020", "kernel_id": "12189548"}, {"ref": "derilraju/mycustomkmeans", "kernel_id": "12214718"}, {"ref": "derilraju/mycustomsvm", "kernel_id": "12131407"}, {"ref": "toyox2020/titanic-eda-hyperopt-cv-ensembling-modeling", "kernel_id": "12004261"}, {"ref": "parnchuaichu/notebook69bba47696", "kernel_id": "12082116"}, {"ref": "oishiqnandy/titanic-eda-to-ml", "kernel_id": "12287875"}, {"ref": "philrowe/fork-of-a-data-science-framework-to-achieve-99-a", "kernel_id": "12373562"}, {"ref": "philrowe/fork-of-cheatsheet-70-ggplot-charts-a67fec", "kernel_id": "12374216"}, {"ref": "philrowe/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "12245965"}, {"ref": "farahqotrunnada/notebook0f87638311", "kernel_id": "12873053"}, {"ref": "japandata509/titanic-neural-network-minmaxscaler", "kernel_id": "12706400"}, {"ref": "ballatipat/22p21n0179-w2hw2-27092020", "kernel_id": "12182365"}, {"ref": "rahulpawade/predicting-survived-or-not", "kernel_id": "12021502"}, {"ref": "heeraldedhia/know-about-different-automl-frameworks", "kernel_id": "12037247"}, {"ref": "nitishkumarpilla/explained-in-detail-titanic-dataset-top-8", "kernel_id": "12356026"}, {"ref": "agandiharyowidagdo/day-1-machine-learning-agandi-haryo-w", "kernel_id": "12315301"}, {"ref": "rawaaelghali/titanic-survival-predictions", "kernel_id": "12707723"}, {"ref": "putuwinda/superfive-dti", "kernel_id": "12873156"}, {"ref": "akashkadam11/akash-kadam-titanic-dataset", "kernel_id": "12054412"}, {"ref": "alok10/titanic", "kernel_id": "12216573"}, {"ref": "hossamhibrahem/titanic", "kernel_id": "12999175"}, {"ref": "sankarmaheshr11/titanic", "kernel_id": "12705172"}, {"ref": "yashkhant/notebookcc8f5386ff", "kernel_id": "12129328"}, {"ref": "lknuraktemur/titanic", "kernel_id": "12129704"}, {"ref": "ahmadagungzs/getting-started-with-titanic", "kernel_id": "12611570"}, {"ref": "markusfurter/notebook7c1f6fcd25", "kernel_id": "12006866"}, {"ref": "aravindbalaji1/predicting-survivals-with-support-vector-machine", "kernel_id": "12241642"}, {"ref": "sviatoslavlavrinchuk/titanic-eda", "kernel_id": "12066197"}, {"ref": "arjunvarma00/notebook114793c08d", "kernel_id": "12012094"}, {"ref": "mohandgamal/beginner-guide-titanc-top-9", "kernel_id": "12193009"}, {"ref": "aaryangold/titanic", "kernel_id": "12980657"}, {"ref": "iraseidman/titanic-competition-submission", "kernel_id": "12545231"}, {"ref": "maissaetorche/titanic-submission", "kernel_id": "12693070"}, {"ref": "muhammadsaimalamkhan/titanic-dataset-survival-predictions", "kernel_id": "12359505"}, {"ref": "sripathhanumanth/titanic-disaster-logistic-regression-from-scratch", "kernel_id": "12947865"}, {"ref": "sujitbhor/notebooke519618e96", "kernel_id": "12322333"}, {"ref": "shelvigarg/getting-started-with-titanic", "kernel_id": "12913620"}, {"ref": "coolshubh4/titanic-machine-learning-from-disaster-eda", "kernel_id": "12137360"}, {"ref": "guillemora2/fork-of-decision-trees-npl", "kernel_id": "12085304"}, {"ref": "krishnannavadia/xgboost", "kernel_id": "12144645"}, {"ref": "leonardocid/comparacion-modelos-titanic", "kernel_id": "12697754"}, {"ref": "amaanvora/titanic-a-machine-learning-disaster-submission", "kernel_id": "12728220"}, {"ref": "onurserbetci/end-to-end-titanic-project", "kernel_id": "12462474"}, {"ref": "ykushagra/mr-kaggler-titanic-project", "kernel_id": "12107345"}, {"ref": "yarengndz/yg-titanic-eda", "kernel_id": "12206399"}, {"ref": "tylerlang93/titanic-tyler-abel-round-2", "kernel_id": "12404219"}, {"ref": "paradoggy/titanic-survivors-analysis", "kernel_id": "12833058"}, {"ref": "mohammed999/my-first-submission", "kernel_id": "12427554"}, {"ref": "mazinfarah/titanic-analysis-ml-using-r", "kernel_id": "12331688"}, {"ref": "emilijastaneviciute/titanic-step-by-step-notebook-for-75-accuracy", "kernel_id": "12106744"}, {"ref": "mahmutsamierolu/titanickagglepredictive", "kernel_id": "12721471"}, {"ref": "mahmutsamierolu/titanic-kaggle-predict", "kernel_id": "12895615"}, {"ref": "sifonsoul/introduction-to-decision-trees-titanic-dataset", "kernel_id": "12366615"}, {"ref": "sifonsoul/notebook6f8c60246a", "kernel_id": "12226232"}, {"ref": "somnathghosh/titanic-dataset-with-decision-tree-classifier", "kernel_id": "12545896"}, {"ref": "vicvoskovsky/titanic-preds-first-pass", "kernel_id": "12444046"}, {"ref": "bogishc2112/titanic-divine-judge", "kernel_id": "12713149"}, {"ref": "chadra/22p23n0026-w2hw2", "kernel_id": "12184868"}, {"ref": "rsarath083/titanicdataset-sarath", "kernel_id": "12029078"}, {"ref": "siddarthdayasagar/titanic-nature-vs-humans", "kernel_id": "12163615"}, {"ref": "kerimelebiler/simple-ann-for-titanic-disaster-84-96-acc", "kernel_id": "12951873"}, {"ref": "amirolmy/notebook59f06258cd", "kernel_id": "12270582"}, {"ref": "shashwatdixit/titanic-project", "kernel_id": "12151621"}, {"ref": "hardikmirani/basic-ml-concepts-implimentation-with-titanic-data", "kernel_id": "12158262"}, {"ref": "sreevishnudamodaran/ultimate-eda-fe-neural-network-model-top-2", "kernel_id": "12850197"}, {"ref": "ngelmorasegura/titanic-ml-techniques-to-detect-survivors", "kernel_id": "12190472"}, {"ref": "amritanshupandey/kaggle1", "kernel_id": "12503631"}, {"ref": "jessyepedraja/an-lisis-titanic", "kernel_id": "12025198"}, {"ref": "wisatat/1st-time-with-titanic-machine-learning-competition", "kernel_id": "12572772"}, {"ref": "dharmikv821/titanic-survival-89", "kernel_id": "12386819"}, {"ref": "birulin/titanic-challenge", "kernel_id": "12992020"}, {"ref": "abanobmorgan/titanic-model", "kernel_id": "12269711"}, {"ref": "kajalpanda/titanic-case-study", "kernel_id": "12030601"}, {"ref": "brianrafferty/titanic-classification-with-svm", "kernel_id": "12696548"}, {"ref": "akhileshketkar/first-notebook", "kernel_id": "12301552"}, {"ref": "alistairdouglas/less-data-leakage-with-pipelines-ensembling", "kernel_id": "12545265"}, {"ref": "stephenkong/exploring-titanic-dataset", "kernel_id": "12555110"}, {"ref": "stephenkong/simple-pca-svm-classification", "kernel_id": "12417264"}, {"ref": "ronnycaldern/notebookff4f98d870", "kernel_id": "12067944"}, {"ref": "brendanartley/titanic-notebook-take-2", "kernel_id": "12672782"}, {"ref": "siddharthjain123/titanic-dataset", "kernel_id": "12086102"}, {"ref": "manuelcortez09/notebookbf51bbe84b", "kernel_id": "12082775"}, {"ref": "pongdylan/r-beginner-logistic-model-with-feature-selections", "kernel_id": "12824575"}, {"ref": "ibekwekingsley/titanic-kaggle-competition", "kernel_id": "12425627"}, {"ref": "ashwinishitole/titanic-project-with-pipeline", "kernel_id": "12028010"}, {"ref": "yoshiakisasaki/kaggle-titanic", "kernel_id": "12012926"}, {"ref": "leonidnevezhin/titanic-80acc", "kernel_id": "12842755"}, {"ref": "haarisiqubal/getting-started-with-titanic", "kernel_id": "12047013"}, {"ref": "nandhakumar01/titanic", "kernel_id": "12199521"}, {"ref": "charliewen/notebook7e3efbe131", "kernel_id": "12355190"}, {"ref": "vyacharin/titanic-top-10-90-accuracy", "kernel_id": "12418652"}, {"ref": "sundusshahid/decision-tree-1", "kernel_id": "12824253"}, {"ref": "hamishisham/notebookfdb309eec3", "kernel_id": "12362158"}, {"ref": "kevinzielinski/titanic-logistic-regression", "kernel_id": "12229430"}, {"ref": "nuttapongsuptawepong/22p12c0765-w2hw2-27092020", "kernel_id": "12068578"}, {"ref": "priyab15/titanic-submission", "kernel_id": "12043254"}, {"ref": "ashishsingh226/titanic-simple-voting-classifier-top10", "kernel_id": "12682742"}, {"ref": "naokiyokoyama/naoki-yokoyama-titanic", "kernel_id": "12577078"}, {"ref": "mamxlam/my-first-notebook-eda-catboost-83-acc-cv-10", "kernel_id": "12599926"}, {"ref": "aniroxx/titanic-data-logistic-regression", "kernel_id": "12312963"}, {"ref": "darshanpadaliya/titanic-with-pytorch", "kernel_id": "12388080"}, {"ref": "soelkarki/titanic-ml", "kernel_id": "12299230"}, {"ref": "gabrielhenrique123/titanic-os-abelhudos", "kernel_id": "12734089"}, {"ref": "erenkrmzolu/eren-kirmizi34", "kernel_id": "12259320"}, {"ref": "amritanandpal/ca-lab6-logistic-regression", "kernel_id": "12357785"}, {"ref": "sameepshrestha/titanic-20-above", "kernel_id": "12059378"}, {"ref": "kostiantynperun/perun-titanic", "kernel_id": "12237038"}, {"ref": "enigmak/titanic-prediciton", "kernel_id": "12693169"}, {"ref": "brunotriebus/notebookcf09a307ef-caa9e0", "kernel_id": "12707779"}, {"ref": "adityamoesya/titanic-tutorial", "kernel_id": "12875433"}, {"ref": "yukunaka1/titanic-exploratory-data-analysis", "kernel_id": "12153848"}, {"ref": "juria99/titanic-with-a-score-of-0-79425", "kernel_id": "12159926"}, {"ref": "dmitriyushakov/torch-titanic", "kernel_id": "12598341"}, {"ref": "wevertonmdrs/titanic-eda-and-feature-engineering", "kernel_id": "12008358"}, {"ref": "utkutekin/random-forest-solution", "kernel_id": "12266076"}, {"ref": "utkutekin/titanic-dataset-with-xgboost", "kernel_id": "12155944"}, {"ref": "utkutekin/tensorflow-trail", "kernel_id": "12157600"}, {"ref": "utkutekin/random-forest-trail", "kernel_id": "12137995"}, {"ref": "quangsnl/notebook9ed51b5832", "kernel_id": "12049868"}, {"ref": "chalakprogrammer/advanced-feature-engineering-feature-encoding", "kernel_id": "12006985"}, {"ref": "kumaranmol/titaniclogreg", "kernel_id": "12351599"}, {"ref": "vladimirperdih/titanic-simple-eda-feature-model-selection", "kernel_id": "12960010"}, {"ref": "prkhrr/a-first-on-kaggle", "kernel_id": "12562407"}, {"ref": "christophertessum/module-13-class-1", "kernel_id": "12921251"}, {"ref": "christophertessum/module-13-class-1-result", "kernel_id": "12920968"}, {"ref": "jorgemarcher/titanic-top-6", "kernel_id": "12274714"}, {"ref": "nitinsaxena/getting-started-with-titanic", "kernel_id": "12050727"}, {"ref": "krimona/titanic-first-kaggle-competition", "kernel_id": "12495181"}, {"ref": "botian137/a-tensorflow-solution-to-kaggle-s-titanic-problem", "kernel_id": "12032498"}, {"ref": "herambgaidhani/getting-started-with-titanic", "kernel_id": "12663682"}, {"ref": "libj233/titanic-i", "kernel_id": "12946923"}, {"ref": "vijaybkkrishna/getting-started-with-titanic", "kernel_id": "12528110"}, {"ref": "oleksiisheiko/my-first-machine-learning-task", "kernel_id": "12012079"}, {"ref": "elliemoore/titanic", "kernel_id": "12106627"}, {"ref": "shimmerlee13/titanic", "kernel_id": "12100642"}, {"ref": "alanhtb/titanic-disaster-data-analysis", "kernel_id": "12201679"}, {"ref": "marcustrugilho/titanic-beginner", "kernel_id": "12539539"}, {"ref": "harshalgadhe/notebookfab246f3a3", "kernel_id": "12409504"}, {"ref": "rahul8862/titanic-ml-for-beginners", "kernel_id": "12416030"}, {"ref": "akshitmadan/titanic-survival-predictions-beginner", "kernel_id": "12798241"}, {"ref": "pontagorn/22p21s0246-pontagorrn-w2hw2-27092020", "kernel_id": "12123514"}, {"ref": "kartikeyaj/first-model-titanic", "kernel_id": "12492890"}, {"ref": "zubairm/notebook8a91ad3188", "kernel_id": "12069711"}, {"ref": "hiranaseem/notebook42e27c598e", "kernel_id": "12177194"}, {"ref": "alanoodnajeeb/classification-in-titanic-dataset", "kernel_id": "12047698"}, {"ref": "cdiaz19/titanic-random-forest", "kernel_id": "12036715"}, {"ref": "dargupallyvaishnavi/notebook7a365c0b28", "kernel_id": "12153858"}, {"ref": "arwaashi/notebook31fe55ddac", "kernel_id": "12754697"}, {"ref": "ardacce/titanic-first-project-failiure", "kernel_id": "12577444"}, {"ref": "pichatornsup/22p23c0342-w2q2-27092020", "kernel_id": "12165739"}, {"ref": "joaopereiradsantos/a-random-forest-on-the-atlantic-ocean", "kernel_id": "12369330"}, {"ref": "manolorodriguez/100-trucos-con-pandas-marr", "kernel_id": "12902303"}, {"ref": "sheikehn/100-trucos-de-pandas-ffve-dals", "kernel_id": "12902046"}, {"ref": "tamsri/titanic-prediction-logistic-regression-75", "kernel_id": "12163337"}, {"ref": "yasserbaderahmed/titanic-ship-prediction", "kernel_id": "12049819"}, {"ref": "cristianorigo/titanic-case", "kernel_id": "12130737"}, {"ref": "waleedbinowais/notebookf9987d45b9", "kernel_id": "12069759"}, {"ref": "marthai/titanic-machine-learning", "kernel_id": "12007757"}, {"ref": "sedacelikhicsonmez/sch-titanic-data-analysis", "kernel_id": "12184513"}, {"ref": "alexeychudinov/shiny", "kernel_id": "12998591"}, {"ref": "alexeychudinov/stacking", "kernel_id": "12187192"}, {"ref": "mashaelalotaibii/sda-titanic-eda", "kernel_id": "12776856"}, {"ref": "juanjosesnchez/titanic-random-forest", "kernel_id": "12035746"}, {"ref": "manar44/eda-on-the-titanic-dataset", "kernel_id": "12791869"}, {"ref": "yogeshhb/ml-titanic-survival-predictions-yogeshhb", "kernel_id": "12524692"}, {"ref": "atheermalki97/titanic-ml-competition", "kernel_id": "12874343"}, {"ref": "rizkyhalawi/basic-feature-discovering-for-machine-learning", "kernel_id": "12019317"}, {"ref": "kevinliaoo/titanic-data-analysis", "kernel_id": "12601394"}, {"ref": "kevinliaoo/titanic-1", "kernel_id": "12533067"}, {"ref": "donaldovillarreal/pandas-100-tricks-ldtv", "kernel_id": "12967549"}, {"ref": "lissgarzarivas/pandas-100-tricks", "kernel_id": "12921754"}, {"ref": "shaanbarca/titanic-data-exploration", "kernel_id": "12839484"}, {"ref": "sunilyadav96/my-first-kaggle-competition-titanic", "kernel_id": "12096656"}, {"ref": "clarillapanilla/my-first-titanic", "kernel_id": "12209434"}, {"ref": "lakitha/titanic-83-f1", "kernel_id": "12108541"}, {"ref": "anantgupt/titanic-bon-voyage-top-2", "kernel_id": "12251326"}, {"ref": "johnhuangh/titanic-compete", "kernel_id": "12438895"}, {"ref": "mstfarzanaakter/logistic-regression-on-titanic-data", "kernel_id": "12146600"}, {"ref": "mstfarzanaakter/classification-methods-on-titanic-data", "kernel_id": "12170918"}, {"ref": "samirthapa10/titanic-survival-prediction", "kernel_id": "12089831"}, {"ref": "nurrona/titanik", "kernel_id": "12038191"}, {"ref": "mynextstep16/titanic-trial", "kernel_id": "12121852"}, {"ref": "asijitroy/data-analysis-process-titanic-example", "kernel_id": "12047473"}, {"ref": "sridharjayadavan/titanic-class-random-forest", "kernel_id": "12063948"}, {"ref": "zephyrzhan522/titanic-prediction-dl-vs-ml", "kernel_id": "12089626"}, {"ref": "toniju98/getting-started-with-titanic", "kernel_id": "12981224"}, {"ref": "muhammad76/titanic-76-accuracy-random-forest-classifier", "kernel_id": "12192331"}, {"ref": "cstyagi/titanic-my-first-kaggle-competition", "kernel_id": "12094775"}, {"ref": "kanekoakifumi/kaggle-titanic", "kernel_id": "12428913"}, {"ref": "pewpewtr/titanic", "kernel_id": "12033155"}, {"ref": "yijuxue/titanic-framework", "kernel_id": "12128844"}, {"ref": "ovchinnikovegor/first-notebook-logreg-dectree-randforest", "kernel_id": "12643950"}, {"ref": "bgsaul/getting-started-with-titanic-following-tutorial", "kernel_id": "12208935"}, {"ref": "frederikjensen2000/ida-nico-frede", "kernel_id": "12370953"}, {"ref": "ashwinjawalikar/titanic-beginner", "kernel_id": "12506422"}, {"ref": "manateariya/22p21e0121-w2hw2-27092020", "kernel_id": "12165688"}, {"ref": "tachapongt/22p22c0265-w2hw2-27092020", "kernel_id": "12190169"}, {"ref": "supphakrit/22p22i0035-02-270920", "kernel_id": "12189147"}, {"ref": "rohanbhagwat/titanic", "kernel_id": "12936640"}, {"ref": "magcari/22p21e0001-phumipat-w2hw2-27092020", "kernel_id": "12059132"}, {"ref": "nattapaklawanwong/22p21e0122-nattapak-w2hw2-27092020", "kernel_id": "12183280"}, {"ref": "rimklong/22p25i0003-week2-question2-2020-09-27", "kernel_id": "12104207"}, {"ref": "kaweetiraborisute/22p22e0114-w2hw2-27092020", "kernel_id": "12061681"}, {"ref": "randommmjy/my-data-analysis-with-titanic-dataset", "kernel_id": "12482554"}, {"ref": "vamsikrishna500466/titanic-complete-submission", "kernel_id": "12187566"}, {"ref": "surapoom/22p25c0622-surapoom-w2hw2-05102020-ipynb", "kernel_id": "12112250"}, {"ref": "natchanonmejin/22p21s0160-natchanon-w2hw2-05102020", "kernel_id": "12005967"}, {"ref": "khunanonr/22p21c0495-khunanon-w2hw2-27092020", "kernel_id": "12163298"}, {"ref": "darknessjackie/titanic-project", "kernel_id": "12202479"}, {"ref": "adelhachim25/titanic-final", "kernel_id": "12359367"}, {"ref": "nattapatiammelap/22p21c0878-w2hw2-27092020", "kernel_id": "12181540"}, {"ref": "yamakado/22p27c0422-yoda-q2-5", "kernel_id": "12047043"}, {"ref": "yamakado/22p27c0422-yoda-q2-1", "kernel_id": "12040801"}, {"ref": "chiwin/22p11c0010-chiwin-w2hw2-27092020", "kernel_id": "12181666"}, {"ref": "jatesadap/22p22s0035-w2hw2-27092020", "kernel_id": "12002322"}, {"ref": "suppachainuthep/22p22c0044-w2hw2-27092020", "kernel_id": "12106586"}, {"ref": "wasinpirom/22p23c0192-w2hw2-27092020", "kernel_id": "12179724"}, {"ref": "peerapatpoonkasem/22p21i0056-w2q2-28092020", "kernel_id": "12151262"}, {"ref": "bussakornsri/22p11c0447-w2hw2-27092020", "kernel_id": "12007434"}, {"ref": "tawanttantakull/22p26e0118-tawan-w2hw2-27092020", "kernel_id": "12113237"}, {"ref": "sozand/22p24c0866-krit-w2hw2-27092020", "kernel_id": "12101995"}, {"ref": "aminrajawana/22p21s0057-amin-w2hw2-27092020", "kernel_id": "12012325"}, {"ref": "thanaponsuwannachot/22p21e0054-week2-2", "kernel_id": "12187815"}, {"ref": "sarawutnacwijit/notebookb1801237f8", "kernel_id": "12007791"}, {"ref": "prakarnjaroonsorn/22p21s0087-prakarn-w2hw2-27092020", "kernel_id": "12171409"}, {"ref": "siradanaitanlai/22p21e0097-w2hw2-29092020", "kernel_id": "12004626"}, {"ref": "nutywna/22p22c0689-w2hw2-27092020", "kernel_id": "12112699"}, {"ref": "duangpromkrit/22p21c0703-krit-w2q2-05102020", "kernel_id": "12103172"}, {"ref": "pawaritsand/22p21s0053-w2hw2-27092020", "kernel_id": "12161010"}, {"ref": "anupreche/titanic-decision-tree", "kernel_id": "12284895"}, {"ref": "rujwid/22p22c0370-widsanu-w2hw2-09102020", "kernel_id": "12129700"}, {"ref": "nuttawatparse/22p21i0052-w2hw2-27092020", "kernel_id": "12105612"}, {"ref": "sornpraram/22p21c0162-sornpraram-week2q2-27092020", "kernel_id": "12150265"}, {"ref": "pollakrit/22p26s0324-w2q2-270920", "kernel_id": "12190822"}, {"ref": "roongrojp/22p22e0003-w2q2-27092020", "kernel_id": "12148924"}, {"ref": "bhuwan01/titanic-score-0-79904", "kernel_id": "12160778"}, {"ref": "vadimgareev/titanic-randomforestclassifier-gridsearchcv", "kernel_id": "12584804"}, {"ref": "awc041081123/getting-started-with-titanic", "kernel_id": "12071521"}, {"ref": "jariney/notebook30805dba19", "kernel_id": "12007347"}, {"ref": "dahi1234/titanic-draft1", "kernel_id": "12074619"}, {"ref": "yommnamohamed/titanic-data-science-solutions", "kernel_id": "12375534"}, {"ref": "dandanbai/notebook146b0c61a2", "kernel_id": "12003875"}, {"ref": "salehhabtor/titanic-comp", "kernel_id": "12011921"}, {"ref": "scentp/22p21w0002-natchanon-w2hw2-27092020", "kernel_id": "12120883"}, {"ref": "viniciusmontagner/getting-started-with-titanic", "kernel_id": "12344173"}, {"ref": "gigastaufan/titanic-ds02-deva-nanda-gigas-ds01-ahmad-s", "kernel_id": "12875097"}, {"ref": "harbhajansingh21/titanic-dataset-using-decision-tree", "kernel_id": "12060391"}, {"ref": "iamyajat/titanic-survival-classification-random-forest", "kernel_id": "12454957"}, {"ref": "mattcruz/titanic", "kernel_id": "12086573"}, {"ref": "mbalazu/titanic-random-forest", "kernel_id": "12030187"}, {"ref": "prajwalrajbr/getting-started-with-titanic", "kernel_id": "12241961"}, {"ref": "khageshorgiri/eda-to-classification-titanic-dataset", "kernel_id": "12231614"}, {"ref": "chengkaiji/dnsc-6279-project", "kernel_id": "12748807"}, {"ref": "joelkalildasilva/5-titanic", "kernel_id": "12204759"}, {"ref": "nicolasacevedorivas/diab-te", "kernel_id": "12155729"}, {"ref": "priyanshu173/titanic-sail", "kernel_id": "12001252"}, {"ref": "marcus11/error404-aiexercice-v02", "kernel_id": "12243104"}, {"ref": "corentinblondel/corentin-blondel-exemple-du-titanic", "kernel_id": "12265210"}, {"ref": "nakkarintepin/22p21n0119-w2hw2-27092020", "kernel_id": "12172591"}, {"ref": "settasuk102/22p23i0002-settasuk-week2-q2", "kernel_id": "12112790"}, {"ref": "dsamitgarg/titanic", "kernel_id": "12076216"}, {"ref": "pablomoreiragarcia/miner-a-de-datos-practica-1-ordinaria", "kernel_id": "12264629"}, {"ref": "hilalozen/titanic-eda", "kernel_id": "12405320"}, {"ref": "ecembokenheide/titanic-competition", "kernel_id": "12108853"}, {"ref": "daveuno2904/getting-started-with-titanic", "kernel_id": "12017136"}, {"ref": "gitlingling/notebook-titanic", "kernel_id": "12239364"}, {"ref": "chatchail/22p22c0413-chatchai-w2hw2-27092020", "kernel_id": "12179958"}, {"ref": "andrcnsantos/titanic", "kernel_id": "12051394"}, {"ref": "otaviostein/zelig-titanic-01", "kernel_id": "12141290"}, {"ref": "gshoanganh/titanic-base", "kernel_id": "12312422"}, {"ref": "mahirofukuda/titanic-survivers-prediction-by-decision-tree", "kernel_id": "12824372"}, {"ref": "shailx/gettingstartedwithtitanic", "kernel_id": "12320731"}, {"ref": "anmolskk/titanic-notebook", "kernel_id": "12071478"}, {"ref": "loycelorenzo/titanic-machine-learning-from-disaster", "kernel_id": "12472732"}, {"ref": "mayanklad/getting-started-with-titanic", "kernel_id": "12401585"}, {"ref": "miriotogata/22p21i0109-week2-q2-27-09-20", "kernel_id": "12218556"}, {"ref": "darshannrathod/titanic-basic-solution-using-adaboost", "kernel_id": "12057667"}, {"ref": "tziphoro/titanic-survival", "kernel_id": "12052970"}, {"ref": "bluemurata/python-kaggle-start-book-ch02-01", "kernel_id": "12068561"}, {"ref": "kappaosyou/python-kaggle-start-book-ch02-01", "kernel_id": "12073894"}, {"ref": "rahatanwarkhan/titanic-dataset-practice-source-ld-freeman", "kernel_id": "12314516"}, {"ref": "sdjaiojod/assignment2", "kernel_id": "12885516"}, {"ref": "hitxgh/titanic-xgboost", "kernel_id": "12121190"}, {"ref": "nerodante/titanic-beginner-eda-and-prediction", "kernel_id": "12091809"}, {"ref": "gajendrakag/notebook1edb3666e5", "kernel_id": "12256593"}, {"ref": "ahmetonurslmz/titanic-eda", "kernel_id": "12522375"}, {"ref": "nihalbangera/titanic-notebook", "kernel_id": "12656777"}, {"ref": "byungjoonmin/notebookbff057fd25", "kernel_id": "12111131"}, {"ref": "dekhant/titanicrandomforest", "kernel_id": "12093723"}, {"ref": "dekhant/titanickneighbors", "kernel_id": "12511416"}, {"ref": "dekhant/sequentialmodel", "kernel_id": "12909648"}, {"ref": "kanhaiyapandey/notebook1659822d78", "kernel_id": "12823129"}, {"ref": "gdpointon/titanic-survival", "kernel_id": "12113755"}, {"ref": "samranlushan/project-titanic", "kernel_id": "12162225"}, {"ref": "tojohasinaraj/getting-start-from-titanic-dataset", "kernel_id": "12146975"}, {"ref": "tojohasinaraj/titanic-using-massive-pipeline-99-25-on-test-set", "kernel_id": "12454912"}, {"ref": "ethan12103/titanic", "kernel_id": "12129449"}, {"ref": "ash112/titanic-ml", "kernel_id": "12824897"}, {"ref": "jessy9955/titanic-keras-nn", "kernel_id": "12878885"}, {"ref": "jessy9955/titanic-from-colab", "kernel_id": "12989316"}, {"ref": "drhimadrinathsaha/analysis-and-classification-of-titanic-data", "kernel_id": "12844757"}, {"ref": "jeoninho/titanic-123444", "kernel_id": "12220763"}, {"ref": "jeoninho/titanic-2016017013-jeoninho", "kernel_id": "12215645"}, {"ref": "jeoninho/notebook2016017013", "kernel_id": "12198761"}, {"ref": "jeoninho/tutorial", "kernel_id": "12124408"}, {"ref": "shinjiho/hw5-titanic", "kernel_id": "12180336"}, {"ref": "mindonggi/notebook50784a4e46", "kernel_id": "12124415"}, {"ref": "mindonggi/notebook07b763548a", "kernel_id": "12131807"}, {"ref": "leejaebaek/1-leejaebaek1096", "kernel_id": "12124407"}, {"ref": "leejaebaek/hw-5-tutorial", "kernel_id": "12213658"}, {"ref": "leejaebaek/osc1096-hw5-2", "kernel_id": "12214822"}, {"ref": "leejaebaek/osc1096-hw5", "kernel_id": "12229699"}, {"ref": "jaeryeong/hw5-titanic", "kernel_id": "12125072"}, {"ref": "seongjunahn/notebookc4c6a3ccb8", "kernel_id": "12128390"}, {"ref": "seongjunahn/notebookbb69c29efe", "kernel_id": "12166747"}, {"ref": "bminbmin/notebook4017568431", "kernel_id": "12124405"}, {"ref": "luxetsal/titanic-tutorial-in-comphys", "kernel_id": "12124990"}, {"ref": "luxetsal/titanic-pjh", "kernel_id": "12166595"}, {"ref": "choyoungeun/hw5-titinic", "kernel_id": "12221783"}, {"ref": "choyoungeun/titinic-tutorial", "kernel_id": "12212523"}, {"ref": "anjinhyeok/getting-started-with-titanic", "kernel_id": "12212824"}, {"ref": "anjinhyeok/homew5", "kernel_id": "12213950"}, {"ref": "yunbyeongseo/hw-5-2", "kernel_id": "12197743"}, {"ref": "yunbyeongseo/hw5-1", "kernel_id": "12125394"}, {"ref": "smjoas/hw5-1", "kernel_id": "12124880"}, {"ref": "smjoas/notebooke2bc05c8f0", "kernel_id": "12198803"}, {"ref": "smjoas/notebook7dfa52d2a4", "kernel_id": "12201761"}, {"ref": "smjoas/hw5-2", "kernel_id": "12203668"}, {"ref": "smjoas/notebook8ef25abdf1", "kernel_id": "12182959"}, {"ref": "jongminkim815/titanic", "kernel_id": "12126534"}, {"ref": "jisujaconkang/jacob-kang-titanic-prediction", "kernel_id": "12471261"}, {"ref": "feniksm/titanic", "kernel_id": "12309444"}, {"ref": "cphys2hoyeollee/2020-cphys2-hw5-my-submission10", "kernel_id": "12220008"}, {"ref": "cphys2hoyeollee/2020-cphys2-hw5-tutorial", "kernel_id": "12220831"}, {"ref": "aerrkhis/titanic-challenge", "kernel_id": "12161246"}, {"ref": "salihreis/titanic-dataproject", "kernel_id": "12424621"}, {"ref": "dmsrkd813/notebooke1fc8dd96a", "kernel_id": "12153012"}, {"ref": "dmsrkd813/notebook25a12eff41", "kernel_id": "12193505"}, {"ref": "dmsrkd813/dmsrkd813-2", "kernel_id": "12198941"}, {"ref": "dmsrkd813/fork-of-notebook25a12eff41", "kernel_id": "12198551"}, {"ref": "dmsrkd813/dmsrkd813-1", "kernel_id": "12198726"}, {"ref": "morihosseini/comprehensive-exploratory-data-analysis-of-titanic", "kernel_id": "12980839"}, {"ref": "florinactlinaanghel/titanic-notebook", "kernel_id": "12216759"}, {"ref": "kristincox/titanic-sample-notebook", "kernel_id": "12157104"}, {"ref": "amineandam/machine-learning-algorithms-for-titanic", "kernel_id": "12808234"}, {"ref": "jyotilaxmi/titanic", "kernel_id": "12250323"}, {"ref": "havyhuynh12/titanic", "kernel_id": "12222552"}, {"ref": "luismangubat/luis-first-notebook", "kernel_id": "12161984"}, {"ref": "astrocyte/cungbuk-univ-2020-comphy2-titanic-tutorial", "kernel_id": "12217608"}, {"ref": "astrocyte/cungbuk-national-univ-2020-comphy2-hw5", "kernel_id": "12204589"}, {"ref": "liyangfan720/notebook8440950efc", "kernel_id": "12261963"}, {"ref": "seongminyeo/notebook4f4b91f627", "kernel_id": "12190672"}, {"ref": "maruyamachikako/upura-kaggle-tutorial-01-first-submission", "kernel_id": "12163558"}, {"ref": "laraannawagner/titanic-eda-to-predict", "kernel_id": "12475864"}, {"ref": "joaopedroamaral/titanic-neural-network", "kernel_id": "12267531"}, {"ref": "hansparkk/titanic-hanspark", "kernel_id": "12213750"}, {"ref": "hyeonhochoi94/1006hw5", "kernel_id": "12179357"}, {"ref": "hyeonhochoi94/1006hw5-tutorial", "kernel_id": "12179308"}, {"ref": "yashinaniya/titanic-old-sol", "kernel_id": "12354998"}, {"ref": "alanyessenbayev/titanic-disaster-boosting-and-feature-engineering", "kernel_id": "12768919"}, {"ref": "soyeonpark1129/cbnu-cphys-hw5", "kernel_id": "12219170"}, {"ref": "soyeonpark1129/titanic-using-catboost-cbnu-hw5", "kernel_id": "12215928"}, {"ref": "vijaymurthy/titanic-data-science-solutions", "kernel_id": "12357655"}, {"ref": "pavanianumala/notebook0a4b35b2fa", "kernel_id": "12236895"}, {"ref": "nehasingh999/titanic-solutions", "kernel_id": "12357899"}, {"ref": "jonnycook/titanic-data-science-solutions", "kernel_id": "12359084"}, {"ref": "youngwancha/notebookffeeb5d181", "kernel_id": "12190586"}, {"ref": "youngwancha/notebook-cha-titanic", "kernel_id": "12193620"}, {"ref": "trinankurkirtania/titanic-survival-predictor-beginners-guide", "kernel_id": "12267740"}, {"ref": "eudossodicnido/titanic", "kernel_id": "12579460"}, {"ref": "kimdeahwa/kdhcompy2", "kernel_id": "12197536"}, {"ref": "yunbyeong/hw5-2", "kernel_id": "12199275"}, {"ref": "faziav/notebookb637bc4e4e", "kernel_id": "12316635"}, {"ref": "unmeshshinde/da-ha-ie-a-64", "kernel_id": "12333419"}, {"ref": "ajinkyaspatil/notebooke8ce4d03c1", "kernel_id": "12318977"}, {"ref": "dakshsinghal/titanic-final", "kernel_id": "12316856"}, {"ref": "amandeepsinghsiddhu/notebook84081727cf", "kernel_id": "12335730"}, {"ref": "preksha25/notebook4643469272", "kernel_id": "12375018"}, {"ref": "tejasbakale/notebook447e345435", "kernel_id": "12325133"}, {"ref": "raziehlarizadeh/titanic-ml-svc", "kernel_id": "12416976"}, {"ref": "atharvavikramkawade/titanic-predicton", "kernel_id": "12326051"}, {"ref": "pgogavi/notebookf56f390b43", "kernel_id": "12203670"}, {"ref": "kimtaeyeon99/notebookbd1d90fc99", "kernel_id": "12204687"}, {"ref": "bangdaegeon/notebook6ebc90ecfc", "kernel_id": "12204458"}, {"ref": "bangdaegeon/notebookcac2623094", "kernel_id": "12222506"}, {"ref": "bangdaegeon/notebook18d17e245f", "kernel_id": "12238104"}, {"ref": "kkkkimchanho/tutorial", "kernel_id": "12213599"}, {"ref": "lehnafftho/ex2-titanic", "kernel_id": "12246860"}, {"ref": "leesudooss/2016017028", "kernel_id": "12213910"}, {"ref": "takahirosudoh/firstnotebook", "kernel_id": "12216241"}, {"ref": "kimmunse/notebook0d255a9db2", "kernel_id": "12218313"}, {"ref": "kimmunse/notebookd-munse-titanic", "kernel_id": "12218878"}, {"ref": "kimmunse/notebook-munse7", "kernel_id": "12220922"}, {"ref": "kimhyeonwoo1/notebook5a290b0402", "kernel_id": "12219092"}, {"ref": "kimhyeonwoo1/notebook215d8b007f", "kernel_id": "12218198"}, {"ref": "blacklung/morpheus-titanic-v01-blacklung-edition", "kernel_id": "12222828"}, {"ref": "hak999/titanicnotebook-xgb", "kernel_id": "12762785"}, {"ref": "jamescorbin/titanic-survival-with-random-forest-80-acc", "kernel_id": "12347391"}, {"ref": "illiapokutsa/titanic-project", "kernel_id": "12225446"}, {"ref": "janelcarpenter/getting-started", "kernel_id": "12238414"}, {"ref": "ilyasouardi/sta-exo-titanic-ouardi-ilyas", "kernel_id": "12238022"}, {"ref": "adamabidi/titanic-disaster", "kernel_id": "12539031"}, {"ref": "ihsanmauri/notebook-titanic", "kernel_id": "12874925"}, {"ref": "nikosraftogiannis/titanic-dnn", "kernel_id": "12360190"}, {"ref": "seydagumrukc/titanic-eda", "kernel_id": "12370432"}, {"ref": "mouhssineakkouh/titanic-ensemble-learning-xgboost-lgmclassifier", "kernel_id": "12445626"}, {"ref": "david55555/titanic-third-try", "kernel_id": "12901548"}, {"ref": "fwziayasser/start-with-titanic-challenge175", "kernel_id": "12372936"}, {"ref": "zzmtsvv/titanic", "kernel_id": "12683055"}, {"ref": "mddawud/titanic-dataset-model", "kernel_id": "12815753"}, {"ref": "kevinsve/firstcomp", "kernel_id": "12279096"}, {"ref": "matheusgomboski/titanic-simple", "kernel_id": "12648017"}, {"ref": "ssahu912/titanic-survivor", "kernel_id": "12622581"}, {"ref": "anupamtripathi14/perfect-1-00", "kernel_id": "12300430"}, {"ref": "jishapjoseph/getting-started-titanic-machine-learning-models", "kernel_id": "12490647"}, {"ref": "sathyart/decision-tree-classifier", "kernel_id": "12528748"}, {"ref": "palakambade/titanic-data-analysis-logistic-regression", "kernel_id": "12286608"}, {"ref": "praneedhaweerakoon/titanic-prediction", "kernel_id": "12692750"}, {"ref": "sujitsirmanwar73/assignment-indus-65", "kernel_id": "12321784"}, {"ref": "shooterboyx/titanic-crossvalidation-on-hyperparameters", "kernel_id": "12296849"}, {"ref": "irsyadkh/day-1-machine-learning-irsyad-kharisma", "kernel_id": "12315098"}, {"ref": "irsyadkh/exploratory-data-analysis-tutorial", "kernel_id": "12314775"}, {"ref": "ferdinorfadhillah/day-1-machine-learning-ferdino-rf", "kernel_id": "12311147"}, {"ref": "alyadhiya/day-1-machine-learning-alya-dhiya", "kernel_id": "12315192"}, {"ref": "rahmawans/day-1-machine-learning-rahmawan-setyadi", "kernel_id": "12315253"}, {"ref": "maxwellbean/top-8-titanic-model-and-eda", "kernel_id": "12554677"}, {"ref": "uursinansarolu/titanic-entry-to-ml", "kernel_id": "12353308"}, {"ref": "hdfadiyutama/day-1-machine-learning-huda-fadiyutama", "kernel_id": "12315309"}, {"ref": "mfarelb/day-1-machine-learning-m-farel-bagaskara", "kernel_id": "12315487"}, {"ref": "alfittaufikoh/day-1-machine-learning-alfit-t", "kernel_id": "12315295"}, {"ref": "agathamelindayunawan/day-1-machine-learning-agatha-melinda-yunawan", "kernel_id": "12315974"}, {"ref": "thisisalphaca/firsttitanic", "kernel_id": "12314551"}, {"ref": "divakartika/exploratory-data-analysis-tutorial", "kernel_id": "12315310"}, {"ref": "divakartika/day-1-machine-learning-diva", "kernel_id": "12317069"}, {"ref": "muhammadrifqir/exploratory-data-analysis-tutorial", "kernel_id": "12315498"}, {"ref": "muhammadrifqir/day-1-machine-muhammad-rifqi-r", "kernel_id": "12315363"}, {"ref": "crisjones/apriori-algorithm-by-khaidar", "kernel_id": "12721393"}, {"ref": "pildoking/notebookfba4bec44a", "kernel_id": "12845798"}, {"ref": "pildoking/notebookcc8e7fa303", "kernel_id": "12861764"}, {"ref": "deckezip/gesunken", "kernel_id": "12497668"}, {"ref": "wangbiyang/notebook934cc0450f", "kernel_id": "12535475"}, {"ref": "nishantdeshmukh/titanic-practice", "kernel_id": "12319779"}, {"ref": "shantanumosalakanti/titanic-prediction", "kernel_id": "12319566"}, {"ref": "sumeetpisal/titanic-prediction", "kernel_id": "12319565"}, {"ref": "nikhildilippawar/assignment-no-1-on-titanic", "kernel_id": "12323270"}, {"ref": "pavelbulgakov/melody-of-the-magical-forest-top-3", "kernel_id": "12328591"}, {"ref": "kamilcieciura/cs-100-data-science", "kernel_id": "12328398"}, {"ref": "shwetabhujbal/shweta-bhujbal-titanic", "kernel_id": "12328471"}, {"ref": "wesleynooijer/template-for-many-classifiers-titanic-disaster", "kernel_id": "12823818"}, {"ref": "mohammadfirassada/cs-100-data-science", "kernel_id": "12330591"}, {"ref": "vikalpnama1/vprvn-titanic", "kernel_id": "12332787"}, {"ref": "flashfreak/titanic-dataset-1710147", "kernel_id": "12333902"}, {"ref": "surajkharade/suraj-titanic", "kernel_id": "12333420"}, {"ref": "zakcole/cs100-titanic-data-science", "kernel_id": "12382224"}, {"ref": "shaded/first-model", "kernel_id": "12348005"}, {"ref": "noahbaxley/fork-of-cs-100-data-science", "kernel_id": "12362302"}, {"ref": "hoanghuy2k/titanic-classifer", "kernel_id": "12912002"}, {"ref": "dariusn/titanic-problem", "kernel_id": "12355198"}, {"ref": "furkanko/wreck-of-the-titanic-data-science-examination", "kernel_id": "12704439"}, {"ref": "tanpatk/titanic-disaster-ml", "kernel_id": "12969054"}, {"ref": "jakenemiroff/getting-started-with-titianic", "kernel_id": "12597705"}, {"ref": "alekseibragin/titanic-best", "kernel_id": "12404376"}, {"ref": "alekseibragin/titanic", "kernel_id": "12384799"}, {"ref": "pingan001/titanic-framework", "kernel_id": "12496480"}, {"ref": "haoranzhang133/cs-100-data-science", "kernel_id": "12364401"}, {"ref": "locoeka/titanic-classification-models", "kernel_id": "12381248"}, {"ref": "justinpanagakis/cs-100-data-science", "kernel_id": "12381197"}, {"ref": "gabrieljohnson/cs-100-data-science-df03bf", "kernel_id": "12381301"}, {"ref": "marcosferreira103/cs-100-data-science", "kernel_id": "12381329"}, {"ref": "jamesyaeger2/cs-100-data-science", "kernel_id": "12381305"}, {"ref": "afalcigno1/cs-100-data-science", "kernel_id": "12381316"}, {"ref": "jackmallett/cs-100-data-science", "kernel_id": "12381985"}, {"ref": "rigdenatsatsang/cs-100-data-science", "kernel_id": "12382786"}, {"ref": "omernaveed/cs-100-data-science", "kernel_id": "12382405"}, {"ref": "spartanlaser32/cs-100-data-science", "kernel_id": "12382571"}, {"ref": "caitlindavitt/cs-100-data-science", "kernel_id": "12383436"}, {"ref": "angelrodriguez47/cs-100-data-science", "kernel_id": "12383461"}, {"ref": "franvaluch/titanic-solucion-simple-0-78947", "kernel_id": "12463000"}, {"ref": "surajrathod/titanic", "kernel_id": "12409542"}, {"ref": "donghunpark12/getting-started-with-titanic-20-11-17", "kernel_id": "12739128"}, {"ref": "saztorralba/titanic-lstmnameencoder", "kernel_id": "12690190"}, {"ref": "lucasmcclure/cs-100-data-science", "kernel_id": "12401312"}, {"ref": "fwenny/ml-exercise-1", "kernel_id": "12672976"}, {"ref": "azucenahernandez/cs-100-data-science", "kernel_id": "12402807"}, {"ref": "alexanderdegraff/cs-100-data-science", "kernel_id": "12402894"}, {"ref": "bridgett2418/cs-100-data-science", "kernel_id": "12402952"}, {"ref": "lucyyang02/cs-100-data-science", "kernel_id": "12403140"}, {"ref": "justinreligioso/cs-100-data-science", "kernel_id": "12404120"}, {"ref": "jesusramosiit/cs-100-data-science", "kernel_id": "12404151"}, {"ref": "vericakaranakova/cs-100-data-science", "kernel_id": "12404455"}, {"ref": "jakenorbie/cs-100-data-science", "kernel_id": "12404498"}, {"ref": "amanidrees/cs-100-data-science", "kernel_id": "12405143"}, {"ref": "isaromeluluquisin/cs-100-data-science", "kernel_id": "12405255"}, {"ref": "aryajp/cs-100-data-science", "kernel_id": "12405768"}, {"ref": "alexanderberryhill/oop-titanic", "kernel_id": "12444792"}, {"ref": "alexanderberryhill/keras-titanic", "kernel_id": "12601898"}, {"ref": "iandougherty69/cs-100-data-science", "kernel_id": "12406534"}, {"ref": "christophermhoman/cmh-titanic", "kernel_id": "12495716"}, {"ref": "grant0417/titanic", "kernel_id": "12437198"}, {"ref": "parammehta01/first-notebook-no-advance-techniques-still-get-85", "kernel_id": "12436879"}, {"ref": "ray314/titanic-machine-learning", "kernel_id": "12428902"}, {"ref": "bernuranel/titanic-eda", "kernel_id": "12562483"}, {"ref": "emiliecollin/ai-project-1-titanic", "kernel_id": "12431208"}, {"ref": "gabrielgrezgarca/titanic-data-set-notebook-ai-course", "kernel_id": "12511812"}, {"ref": "ikedaryuji/titanic", "kernel_id": "12428906"}, {"ref": "tonyallenprice/deaths-aboard-the-titanic-ml-in-disasters", "kernel_id": "12495724"}, {"ref": "nabilahsiddiqui/cs-100-data-science", "kernel_id": "12423021"}, {"ref": "seancummings55/data-science-lab", "kernel_id": "12539461"}, {"ref": "apeters11/cs-100-data-science", "kernel_id": "12423277"}, {"ref": "arafrahman/cs-100-data-science", "kernel_id": "12442241"}, {"ref": "ryanmanthy/the-working-one", "kernel_id": "12424800"}, {"ref": "jakubszabla/cs-100-data-science", "kernel_id": "12424222"}, {"ref": "magdalenaboufal/cs-100-data-science-e7fee8", "kernel_id": "12521033"}, {"ref": "kamenpetkov/cs-100-data-science-87f3ed", "kernel_id": "12536959"}, {"ref": "daniellim7/cs-100-data-science", "kernel_id": "12424432"}, {"ref": "johndeifel/cs-100-data-science", "kernel_id": "12425255"}, {"ref": "paysan/titanic", "kernel_id": "12477458"}, {"ref": "arisontdu/notebook18rd011-titanic", "kernel_id": "12428947"}, {"ref": "juliansc/titanic-competition-submission", "kernel_id": "12722589"}, {"ref": "shravanhonaganahalli/cs-100-data-science-661789", "kernel_id": "12519479"}, {"ref": "ahmadramadan/titanic-solution-top17", "kernel_id": "12586500"}, {"ref": "ahmadramadan/titanic-data-science-solutions", "kernel_id": "12441420"}, {"ref": "pzk2206/titanic-passenger-voyage", "kernel_id": "12440815"}, {"ref": "vmolno/titanic-moln", "kernel_id": "12463637"}, {"ref": "humbertos/cs-100-data-science", "kernel_id": "12443348"}, {"ref": "varunbarath/titanic-dataset", "kernel_id": "12537447"}, {"ref": "jennifersegura/cs-100-data-science", "kernel_id": "12443453"}, {"ref": "gkumari/cs-100-data-science", "kernel_id": "12443502"}, {"ref": "kimberlydominguez/cs-100-data-science", "kernel_id": "12443572"}, {"ref": "cooperchriston/cs-100-data-science", "kernel_id": "12444939"}, {"ref": "yiyuancs/cs-100-data-science", "kernel_id": "12444856"}, {"ref": "ranafeyzasoylu/cs-100-data-science", "kernel_id": "12445106"}, {"ref": "genesisgaytan/cs-100-data-science", "kernel_id": "12560912"}, {"ref": "grigorelucian/titanic-competition-98-3-accuracy", "kernel_id": "12568252"}, {"ref": "fernandoitallo/titanic-itallo", "kernel_id": "12597715"}, {"ref": "christmas2014/titanic-simple-prediction", "kernel_id": "12458293"}, {"ref": "josephbarroso/cs-100-data-science", "kernel_id": "12461974"}, {"ref": "ibalm9/submission-dti", "kernel_id": "12873333"}, {"ref": "krzych8899/notebooktree", "kernel_id": "12848406"}, {"ref": "wuchenhong/rf-method", "kernel_id": "12515941"}, {"ref": "arturgoo/titanic-ag-model-fc12cc", "kernel_id": "12869626"}, {"ref": "arturgoo/notebookdd1b33ccaa", "kernel_id": "12869872"}, {"ref": "mariuszorbik/titanic-decisiontree-python-ver-2", "kernel_id": "12778124"}, {"ref": "nataliaka/n-titanic-decisiontree-python", "kernel_id": "12769766"}, {"ref": "anastazjagowacka/titanic-ag-model-fc12cc", "kernel_id": "12874406"}, {"ref": "anastazjagowacka/titanic-ag-model", "kernel_id": "12600046"}, {"ref": "hansguttormsen/cs-100-data-science", "kernel_id": "12478998"}, {"ref": "hirohitotomida/cs-100-data-science", "kernel_id": "12481426"}, {"ref": "aleksandertracz/titanic-survival-rate-prediction", "kernel_id": "12590830"}, {"ref": "jaystevency/notebook41d57b8cc4", "kernel_id": "12687071"}, {"ref": "eminfidan/titanic-project-first", "kernel_id": "12766582"}, {"ref": "bfurkan/titanic-data-science", "kernel_id": "12571019"}, {"ref": "jasonnnnn/cs-100-data-science", "kernel_id": "12494681"}, {"ref": "annalameeva/lameeva-anna-titanic", "kernel_id": "12573040"}, {"ref": "harrisonschultz/cs-100-data-science", "kernel_id": "12495000"}, {"ref": "junaid505/cs-100-data-science", "kernel_id": "12498532"}, {"ref": "fahmifathurrahman/notebook4b33777cfd", "kernel_id": "12873399"}, {"ref": "ransion/inc-titanic", "kernel_id": "12505060"}, {"ref": "tuhinsubhrade/titanic-analysis", "kernel_id": "12505246"}, {"ref": "furkankumral/titanic-eda-furkan-kumral", "kernel_id": "12569753"}, {"ref": "seanchandingchao/titanic-project", "kernel_id": "12841752"}, {"ref": "davidfedaravicius/cs-100-data-science", "kernel_id": "12514691"}, {"ref": "irinana/predict-graint", "kernel_id": "12526503"}, {"ref": "irinana/titanik-my-bad-decision", "kernel_id": "12991456"}, {"ref": "halenurbulgu/titanic", "kernel_id": "12614664"}, {"ref": "guggillaanil/titanic-kaggle", "kernel_id": "12551569"}, {"ref": "michaeltehc/michael-tehc-titanic", "kernel_id": "12592065"}, {"ref": "alexanderpriala/cs-100-data-science", "kernel_id": "12539187"}, {"ref": "syedrahman735/cs-100-data-science", "kernel_id": "12539255"}, {"ref": "georgewest12/cs-100-data-science-5461aa", "kernel_id": "12539609"}, {"ref": "egonzalez16/cs-100-data-science", "kernel_id": "12540230"}, {"ref": "josiasexplorer/titanic-random-forest-grid-search", "kernel_id": "12970066"}, {"ref": "josiasexplorer/titanic-eda-wrangling-imputation", "kernel_id": "12969474"}, {"ref": "nozarchos/naked-cat-boost-for-fillna-and-prediction", "kernel_id": "12589508"}, {"ref": "simonhse/notebook7e09579643-279e38", "kernel_id": "12832299"}, {"ref": "zitanyu/cs-100-data-science", "kernel_id": "12557178"}, {"ref": "anashamoutni/titanic-competition-top-11", "kernel_id": "12725612"}, {"ref": "evgeniyayavlyanskaya/titanic-let-s-give-it-a-try", "kernel_id": "12558623"}, {"ref": "andychang123/cs-100-data-science-acac", "kernel_id": "12561791"}, {"ref": "ansonhong222/cs-100-data-science", "kernel_id": "12577246"}, {"ref": "madmerc/titanic-data-science-solutions", "kernel_id": "12562770"}, {"ref": "anastasiiaititova/notebook80375a7ae1", "kernel_id": "12594588"}, {"ref": "ajaykumar9373/cs-100-data-science", "kernel_id": "12570324"}, {"ref": "adriandiazny/titanic-data-analysis", "kernel_id": "12790999"}, {"ref": "qiushiwang/ensemble", "kernel_id": "12801214"}, {"ref": "irasemina/titanik-andec", "kernel_id": "12595728"}, {"ref": "djkwon/notebookcc85ddaeb2", "kernel_id": "12702509"}, {"ref": "markpearson/gradient-decent", "kernel_id": "12596012"}, {"ref": "alvianputrapamungkas/group-5-dti", "kernel_id": "12872971"}, {"ref": "antonsalomatin/titanicsa", "kernel_id": "12596733"}, {"ref": "keepron/titanic", "kernel_id": "12597317"}, {"ref": "joshuainyang/bouncey-predictions", "kernel_id": "12615777"}, {"ref": "joshuainyang/notebookd0e2e52afc", "kernel_id": "12615352"}, {"ref": "kulikovaalexandra/dz-2-sasha-kulikova", "kernel_id": "12598978"}, {"ref": "acarahmet/titanic-project", "kernel_id": "12825692"}, {"ref": "chinmay2099/assignment-indus-41", "kernel_id": "12609114"}, {"ref": "samodra/titanic-challenge-implementation", "kernel_id": "12874353"}, {"ref": "osintalex/titanic-first-attempt", "kernel_id": "12827117"}, {"ref": "akashranaml/notebook0b061b265f", "kernel_id": "12676618"}, {"ref": "wendyyan5/titanic-code", "kernel_id": "12815626"}, {"ref": "reenathomas1807/titanic-ml-modelling", "kernel_id": "12768938"}, {"ref": "guykabiri/titanic-passenger-survival-prediction", "kernel_id": "12780300"}, {"ref": "sagiaharon/ml-exercise1", "kernel_id": "12733106"}, {"ref": "divyariyer/getting-started-with-titanic", "kernel_id": "12784310"}, {"ref": "slymantannn/titanic25", "kernel_id": "12788667"}, {"ref": "foreverhaibara/competition-titanic", "kernel_id": "12720173"}, {"ref": "artemkuksenko/titanic", "kernel_id": "12745648"}, {"ref": "ilyakolobov/titanic", "kernel_id": "12788528"}, {"ref": "rvm8343/titanic-ml", "kernel_id": "12904060"}, {"ref": "colormap/07-data-cleaning-methods", "kernel_id": "12817636"}, {"ref": "colormap/11-ensemble-modeling-titanic-dataset", "kernel_id": "12825586"}, {"ref": "colormap/08-feature-analysis-titanic-dataset", "kernel_id": "12824846"}, {"ref": "colormap/04-logistic-regression-titanic-dataset", "kernel_id": "12795890"}, {"ref": "rimads/firstkaggleproject-titanic-byrima", "kernel_id": "12782682"}, {"ref": "omarouardighi/titanic-1st-try", "kernel_id": "12809970"}, {"ref": "correa219/getting-started-with-titanic", "kernel_id": "12852573"}, {"ref": "ampmkag/note-0", "kernel_id": "12840547"}, {"ref": "kazuyainaba/python-kaggle-start-book-ch02-01", "kernel_id": "12856398"}, {"ref": "qijun5683/getting-started-with-titanic", "kernel_id": "12825546"}, {"ref": "jvpujante/titanic-worker", "kernel_id": "12864884"}, {"ref": "kenhayahara/titanic-lightgbm", "kernel_id": "12816792"}, {"ref": "ankurlimbashia/eda-and-simple-blending-on-titanic-dataset", "kernel_id": "12820125"}, {"ref": "stix05/aleron-notebook", "kernel_id": "12836877"}, {"ref": "reuslll/prediction-for-titanic-by-decisiontree", "kernel_id": "12903257"}, {"ref": "reuslll/tatanic-prediction-by-randomforest", "kernel_id": "12903517"}, {"ref": "rocky1997/titanic-dataset-82-accuracy", "kernel_id": "12844667"}, {"ref": "dominicnyambane/deep-dive-into-titanic", "kernel_id": "12860499"}, {"ref": "alexandrecazals/titanic-survival-model", "kernel_id": "12879790"}, {"ref": "berfinayir/my-titanic", "kernel_id": "12961171"}, {"ref": "alvarischa/notebooke03487389c", "kernel_id": "12875091"}, {"ref": "heunkim/notebook87d9c76f76", "kernel_id": "12877156"}, {"ref": "heunkim/notebookf00fe53cea", "kernel_id": "12880991"}, {"ref": "heunkim/notebookd5831f957a", "kernel_id": "12894065"}, {"ref": "heunkim/notebook95bd8f6261", "kernel_id": "12894496"}, {"ref": "heunkim/fork-of-notebookf00fe53cea", "kernel_id": "12955455"}, {"ref": "talbalelty/titanic2020ex3-ipynb", "kernel_id": "12891538"}, {"ref": "marciarodrigues/titanic-ai-2", "kernel_id": "12912233"}, {"ref": "marciarodrigues/v2-titanic-ai-2", "kernel_id": "12946828"}, {"ref": "fabienroger/titanic-notebook", "kernel_id": "12932481"}, {"ref": "officeyutong/cs-100-data-science", "kernel_id": "12925400"}, {"ref": "tongyuiit/cs-100-data-science", "kernel_id": "12928456"}, {"ref": "teemumehtonen/titanic-notebook", "kernel_id": "12929927"}, {"ref": "andrewhitch/andrewhitch-titanic-data-set", "kernel_id": "12945656"}, {"ref": "jusbeans/notebook0808e0bd51", "kernel_id": "12964514"}, {"ref": "muhammadullilfahri/titanic-gaussian-naive-bayes", "kernel_id": "12981316"}, {"ref": "muhammadullilfahri/titanic-tester-ml-random-forest", "kernel_id": "12987249"}, {"ref": "muhammadullilfahri/titanic-ml-accuracy-98-20", "kernel_id": "12986831"}, {"ref": "mukangmiao/cs-100-data-science", "kernel_id": "12987246"}, {"ref": "chaosesib/cs-100-data-science", "kernel_id": "12987755"}, {"ref": "alexryzhkov/lightautoml-titanic-love", "kernel_id": "13430729"}, {"ref": "chaitanya9/titanic", "kernel_id": "13491212"}, {"ref": "harshavardhan0/stack-titanic-classify", "kernel_id": "13605670"}, {"ref": "pillipyoun/notebook9ed0106d49", "kernel_id": "13277122"}, {"ref": "user182795/80-acc-titanic-ml-complete-ver", "kernel_id": "13487019"}, {"ref": "alexperrier/exploration-regression-logistique", "kernel_id": "13503746"}, {"ref": "gagangaurav/gg-titanic-logistic-regression", "kernel_id": "13440186"}, {"ref": "vanausloos/object-oriented-titanics", "kernel_id": "13216946"}, {"ref": "jeantc21/titanic", "kernel_id": "13929398"}, {"ref": "sansoy/titanic-neural-network-for-beginners", "kernel_id": "13540619"}, {"ref": "isuruherath/titanic-survival-prediction", "kernel_id": "13593313"}, {"ref": "tamreff3290/tabnet-titanic", "kernel_id": "13359463"}, {"ref": "tamreff3290/titanic-lecture-answer", "kernel_id": "13972610"}, {"ref": "rahulmittal/decisiontrees-with-titanic-data", "kernel_id": "13209440"}, {"ref": "rahulmittal/titanic-eda", "kernel_id": "13029365"}, {"ref": "eduardocao/intro2ai-lesson2-lr-titanic", "kernel_id": "13392327"}, {"ref": "cnaveen05/titanic-myfirstml-love", "kernel_id": "13451776"}, {"ref": "ssauer/tidymodels-titanic", "kernel_id": "13455695"}, {"ref": "rsesha/pycaret-vs-auto-viml-on-reg-class-nlp", "kernel_id": "13005350"}, {"ref": "squash/histgradientboostedclassifier-titanic", "kernel_id": "13464890"}, {"ref": "mkulio/titanic-modeling-nbayes-dtree-0-8253", "kernel_id": "13261128"}, {"ref": "mkulio/titanic-data-preparation", "kernel_id": "13128481"}, {"ref": "nivu07/prediction-with-gradient-boosting-classifier-modif", "kernel_id": "13241121"}, {"ref": "bouweceunen/automl-comparison-titanic-dataset", "kernel_id": "13608090"}, {"ref": "lovely94/titanic-eda", "kernel_id": "13288302"}, {"ref": "drakedyban/eda-with-titanic", "kernel_id": "13181704"}, {"ref": "krazzyboy/titanic-the-only-notebook-you-need-to-see", "kernel_id": "13293241"}, {"ref": "currypurin/titanic-tutorial-of-kaggle-optuna", "kernel_id": "13738565"}, {"ref": "currypurin/tutorial-of-kaggle-ver5-ch3", "kernel_id": "13554807"}, {"ref": "lavinavrovine/fork-of-kisk-1-176910", "kernel_id": "13988611"}, {"ref": "gooner1997/getting-started-with-titanic", "kernel_id": "13780877"}, {"ref": "fethiye/titanic-predict-survival-prediction", "kernel_id": "13861851"}, {"ref": "eyupztrk/titanic-work1", "kernel_id": "13337350"}, {"ref": "pxaris/minimal-notebook", "kernel_id": "13881227"}, {"ref": "shiyoh/first-try", "kernel_id": "13144756"}, {"ref": "howeverforever/titanic-lgbm-optuna", "kernel_id": "13379111"}, {"ref": "nurdin132/digit-recognizer", "kernel_id": "13486470"}, {"ref": "alexkeeplearning/notebook4a6063a931", "kernel_id": "13437998"}, {"ref": "adityapujara/titanic-dataset", "kernel_id": "13823032"}, {"ref": "dignil/titanic-svm-random-forest-and-neural-network", "kernel_id": "13735509"}, {"ref": "ajeeto/titanic-first-nb", "kernel_id": "13541769"}, {"ref": "kritidoneria/automl-beginner-easiest-titanic-solution-ever", "kernel_id": "13750996"}, {"ref": "akhilesh94/titanic-using-knn-classification", "kernel_id": "13700397"}, {"ref": "akshitab/titanic-ver0-1", "kernel_id": "13739895"}, {"ref": "ozgurb/titanic-work-v1", "kernel_id": "13748559"}, {"ref": "goodwanghan/titanic-hp-tuning-by-fugue", "kernel_id": "13977623"}, {"ref": "theamateurcoder/titantic-survived", "kernel_id": "13771755"}, {"ref": "akm5160/all-about-prob-dist", "kernel_id": "13748836"}, {"ref": "anandchauhan/titanic-eda", "kernel_id": "13425107"}, {"ref": "ieneames/titanic-competition-analysis-and-prediction", "kernel_id": "13302861"}, {"ref": "wjehyeon/dit-20201129", "kernel_id": "13186425"}, {"ref": "binodsuman/ml-titanic-basic-code-for-beginners", "kernel_id": "13725942"}, {"ref": "binodsuman/ml-titanic-data-visualization-and-prediction", "kernel_id": "13771732"}, {"ref": "skavli/titanic-project", "kernel_id": "13408421"}, {"ref": "santoshbothe/titanic-data-preprocessing-and-visualization", "kernel_id": "13397723"}, {"ref": "mohameddhameem/catboost-model-with-77990-score", "kernel_id": "13668673"}, {"ref": "anunnikrishnan/titanic-ml-file-rf", "kernel_id": "13920736"}, {"ref": "makarenkomd/titanik-check-result", "kernel_id": "13594649"}, {"ref": "fanbyprinciple/fastai-v4-tabular-titanic", "kernel_id": "13025414"}, {"ref": "fanbyprinciple/titanic-2-fastai-v4-kernel-submit", "kernel_id": "13913476"}, {"ref": "ikanurlaf/machine-learning-titanic-data", "kernel_id": "13028088"}, {"ref": "ikanurlaf/titanic-classification", "kernel_id": "13084367"}, {"ref": "nislam4/titanic-survivor-prediction", "kernel_id": "13493956"}, {"ref": "antimatter7/titanic-top-14-random-forest", "kernel_id": "13824870"}, {"ref": "soominson/titanic-beginner-s-practice-step-by-step", "kernel_id": "13220403"}, {"ref": "taufikadi/basic-models", "kernel_id": "13658612"}, {"ref": "mohanavel/titanic-eda-project", "kernel_id": "13305204"}, {"ref": "vladproex/titanic-from-start-to-finish", "kernel_id": "13967000"}, {"ref": "buseastam/titanic-buse-eda", "kernel_id": "13003383"}, {"ref": "desparzaalba/desparza-titanic", "kernel_id": "13310876"}, {"ref": "desparzaalba/titanic-with-transformers", "kernel_id": "13576626"}, {"ref": "delgrossonick/notebook3d2575335d", "kernel_id": "13603614"}, {"ref": "kheireddine12/mnb-and-rf", "kernel_id": "13818848"}, {"ref": "rmznurk/komutanlogar-titanik-eda", "kernel_id": "13422882"}, {"ref": "super0/it-s-titanic", "kernel_id": "13408037"}, {"ref": "yutoricstar/titanic-practice", "kernel_id": "13772589"}, {"ref": "aakulk/learn-machine-learning-using-titanic-dataset", "kernel_id": "13540759"}, {"ref": "ariomer/titanic-v1-2", "kernel_id": "13149868"}, {"ref": "ariomer/titanic-with-pandas-profiling", "kernel_id": "13182079"}, {"ref": "madasuprudhvi/titanic-machine-learning-from-disaster", "kernel_id": "13338660"}, {"ref": "madasuprudhvi/top7-titanic-using-tensorflow-80-accuracy", "kernel_id": "13962796"}, {"ref": "slagou/notebook5c03a3b0ea", "kernel_id": "13170319"}, {"ref": "seva1986/notebook4803dfe5c4", "kernel_id": "13254458"}, {"ref": "katsruapp/titanic-passenger-survival-prediction", "kernel_id": "13081023"}, {"ref": "maxlincoln/iniciando-em-ci-ncia-de-dados", "kernel_id": "13614804"}, {"ref": "salmaeng/comparison-between-categorical-variable-encoding", "kernel_id": "13360604"}, {"ref": "thiagopanini/exploring-and-predicting-survival-on-titanic", "kernel_id": "13712258"}, {"ref": "werooring/titanic-basic-solution-using-randomforest", "kernel_id": "13007028"}, {"ref": "dhruvashist/titanic-draft-1", "kernel_id": "13997576"}, {"ref": "rodolfoviegas/rvore-de-decis-o-ic", "kernel_id": "13642920"}, {"ref": "vivek65/titanic-data-science-solutions", "kernel_id": "13180245"}, {"ref": "jojoker/titanic-survival-chance-with-statsmodels", "kernel_id": "13164419"}, {"ref": "cakdor/analysis-visual-predict-by-svm-for-titanic", "kernel_id": "13474390"}, {"ref": "nadish/titanic-predictions-using-logistic-and-trees", "kernel_id": "13808150"}, {"ref": "lailaelmahmoudi123/titanic-survival-prediction-with-random-forest", "kernel_id": "13663601"}, {"ref": "ahmedy1993/comprehensive-exploratory-data-analysis-of-titanic", "kernel_id": "13644205"}, {"ref": "dahouda/titanic-ml-algorithms", "kernel_id": "13692784"}, {"ref": "qusid007/titanic", "kernel_id": "13868595"}, {"ref": "shyambhu/automl-and-pandas-profiling-with-titanic-dataset", "kernel_id": "13405008"}, {"ref": "softhoon/titanic-machine-learning-from-disaster", "kernel_id": "13189368"}, {"ref": "akshayyadav898/titanic-svm", "kernel_id": "13387846"}, {"ref": "heolinhdam/simple-logistic-regression", "kernel_id": "13499522"}, {"ref": "heolinhdam/decision-tree-for-titanic-passengers", "kernel_id": "13586071"}, {"ref": "sinchir0/selfsupervisedtabnet-titanic-comparing-lgbm-nn", "kernel_id": "13313003"}, {"ref": "rohitw/titanic-v1", "kernel_id": "13857871"}, {"ref": "maniphazr/titanic-in-depth", "kernel_id": "13984224"}, {"ref": "stpeteishii/titanic-xgboost-pr-roc-calibration", "kernel_id": "13209006"}, {"ref": "adrishbir/saving-passenger-by-neural-network-kerasregressor", "kernel_id": "13083693"}, {"ref": "piotrwawrzyniec/top-10-titanic-machine-learning-notebook", "kernel_id": "13199101"}, {"ref": "shakibyz/eda-on-titanic-random-forest", "kernel_id": "13454487"}, {"ref": "joseguzman/titanic-competition-with-custom-pipelines", "kernel_id": "13735522"}, {"ref": "mnocete/titanic-challenge", "kernel_id": "13148478"}, {"ref": "aviadbuskila/aviad-s-titanic-project", "kernel_id": "13947810"}, {"ref": "youssefassouli/titanic-predictions", "kernel_id": "13034699"}, {"ref": "mohaiminul101/titanic-predicting-the-survival-of-passengers", "kernel_id": "13473130"}, {"ref": "shahriyarmammadli/titanic-ml-competitions", "kernel_id": "13692206"}, {"ref": "npuers/get-started-with-titanic-in-machine-learning", "kernel_id": "13487151"}, {"ref": "alkhantitan/metoceangeeks", "kernel_id": "13081976"}, {"ref": "bolatenesemrw/titanik-deep-learninig", "kernel_id": "13636822"}, {"ref": "jsong2018/topic1-practice-pandas-titanic", "kernel_id": "13225636"}, {"ref": "petracarrion/titanic-survivors", "kernel_id": "13732675"}, {"ref": "bryankaruna/masterpiece", "kernel_id": "13130207"}, {"ref": "kabira12698/titanicprediction", "kernel_id": "13539282"}, {"ref": "vikasmalik22/hello-titanic-world", "kernel_id": "13933821"}, {"ref": "picoli3/selecting-features-in-titanic", "kernel_id": "13839405"}, {"ref": "issaouisafa/titanic-machine-learning-competitions", "kernel_id": "13989359"}, {"ref": "eladhaziza/titanic-logistic-regression", "kernel_id": "13346955"}, {"ref": "rakshajain/titanic-ml", "kernel_id": "13938547"}, {"ref": "ahskid/titanic-contest", "kernel_id": "13135381"}, {"ref": "yogeshsangtani/titanic-survival-prediction", "kernel_id": "13603196"}, {"ref": "ishaqal/notebook176ec794bf", "kernel_id": "13668458"}, {"ref": "hafsaezzahraouy/titanic-s-survival", "kernel_id": "13735564"}, {"ref": "danielbrito/titanic-survival-with-tidymodels", "kernel_id": "13659535"}, {"ref": "prakhar2000/titanic-kaggle-starter", "kernel_id": "13087087"}, {"ref": "elambrop/titanic-basic-eda-and-modeling", "kernel_id": "13011849"}, {"ref": "sinharahul1977/titanic-practise", "kernel_id": "13550031"}, {"ref": "pandaman007/tutorial-classifier-tree-ai-club-solutions", "kernel_id": "13806764"}, {"ref": "deepzsenu/notebook44b5f2d226", "kernel_id": "13472312"}, {"ref": "psquare1997/titanic-dataset-eda", "kernel_id": "13511202"}, {"ref": "khlifizouhaier/titanic-machine-learning-from-disasterusing-xgboo", "kernel_id": "13133837"}, {"ref": "vmanz73/notebook6951306b77", "kernel_id": "13059508"}, {"ref": "sachingarg10/titanic-plaksha", "kernel_id": "13700846"}, {"ref": "sachingarg10/titanic-project-alex", "kernel_id": "13700739"}, {"ref": "alibaris/random-forest-classification-score-79-186-8", "kernel_id": "13408072"}, {"ref": "emile199/titaniccompetition", "kernel_id": "13548242"}, {"ref": "weshbz13/dataiteam-titanic-eda", "kernel_id": "13764641"}, {"ref": "progrkaushl/titanic-disaster-my-first-submission", "kernel_id": "13184858"}, {"ref": "rohitgadhwar/preprocessing-transformation-pipeline", "kernel_id": "13255483"}, {"ref": "mdhamani/titanic-getting-better-eda-top-14", "kernel_id": "13484368"}, {"ref": "mdhamani/titanic-pytorch-neural-network-gpu-top-14", "kernel_id": "13587551"}, {"ref": "andreshg/eda-beginner-to-expert-plotly", "kernel_id": "13660273"}, {"ref": "laurent93/titanic-competition", "kernel_id": "13113788"}, {"ref": "pallav98/titanic-logisitic-regression", "kernel_id": "13755787"}, {"ref": "sumukh21/titanic-ml-file", "kernel_id": "13922415"}, {"ref": "d3evil3/titanic", "kernel_id": "13445047"}, {"ref": "pooyanzarif/my-titanic", "kernel_id": "13829049"}, {"ref": "choi328328/my-first-eda", "kernel_id": "13053549"}, {"ref": "calcium1992/titanic-dt-accu0-82", "kernel_id": "13072776"}, {"ref": "sashirin/titanic-analysis", "kernel_id": "13504093"}, {"ref": "anamika997/titanic-prediction", "kernel_id": "13975263"}, {"ref": "rupakanth/eda-for-beginners", "kernel_id": "13143433"}, {"ref": "bofangli/make-fare-crystal-clear-fare-sharing-zero-fare", "kernel_id": "13100396"}, {"ref": "faisalahmedbijoy/extremely-randomized-trees", "kernel_id": "13998051"}, {"ref": "siddharth1234/sidtitanic", "kernel_id": "13451476"}, {"ref": "aasousa/titanic-without-james-cameron", "kernel_id": "13287497"}, {"ref": "pfc888/titanic-logistic-regression-solution", "kernel_id": "13408770"}, {"ref": "haochengmei/simulation-project", "kernel_id": "13219456"}, {"ref": "sarthakniwate13/titanic-eda-survival-prediction", "kernel_id": "13299129"}, {"ref": "zhaoyuanhuan/project-of-titanic", "kernel_id": "13255729"}, {"ref": "ankitkumarsaini/titanic-eda-model", "kernel_id": "13106783"}, {"ref": "sungk95/titanic-practice-with-logistic-regression", "kernel_id": "13827148"}, {"ref": "codenamekash/titanic-prediction-experiments", "kernel_id": "13506177"}, {"ref": "cosmosankur/titanic-competition-notebook", "kernel_id": "13108370"}, {"ref": "rhushabhgedam/titanic-book", "kernel_id": "13718990"}, {"ref": "sho30647/20201230ch2-1", "kernel_id": "13903364"}, {"ref": "gianlucabison/titanic", "kernel_id": "13539621"}, {"ref": "arnrob/titanic-eda", "kernel_id": "13659024"}, {"ref": "patrickb1912/titanic-survival-eda-and-predictions", "kernel_id": "13778854"}, {"ref": "carlmcbrideellis/all-in-a-pickle-saving-the-titanic", "kernel_id": "13030346"}, {"ref": "denisesagendorph/getting-started-eda-lightgbm", "kernel_id": "13890508"}, {"ref": "mohsenpirmoradian/survived-or-passed-away", "kernel_id": "13016455"}, {"ref": "yasnbalcilar/titanic-eda-feature-enginnering-5-clf-model", "kernel_id": "13116165"}, {"ref": "liweijun/final-version", "kernel_id": "13870647"}, {"ref": "lakshayjaryal/titanic-dataset-model", "kernel_id": "13853203"}, {"ref": "govindramanann/getting-started-with-titanic", "kernel_id": "13498092"}, {"ref": "shatendrasingh/notebookcf45df58dc", "kernel_id": "13035547"}, {"ref": "malikamit/titanic-survival-prediction-with-decision-tree", "kernel_id": "13656159"}, {"ref": "malikamit/titanic-machine-learning-from-disaster", "kernel_id": "13655921"}, {"ref": "narendrasinghparihar/notebook94881a2a21", "kernel_id": "13664308"}, {"ref": "digenessilva/top-7-titanic-gridsearch", "kernel_id": "13990256"}, {"ref": "chethanbr86/titanic-survival-predictions-lr-dt-rf-xgb", "kernel_id": "13108450"}, {"ref": "emreevik/emre-notebook", "kernel_id": "13938917"}, {"ref": "himanshupingulkar/titanic-basic-pipeline-for-classification-tasks", "kernel_id": "13900343"}, {"ref": "spbalameghanashivani/titanic-dataset-prediction-logistic-regression", "kernel_id": "13743948"}, {"ref": "mahmoudreda55/titanic-94", "kernel_id": "13708326"}, {"ref": "rizkyalifr/titanic-model-by-rar", "kernel_id": "13161410"}, {"ref": "mehmetcankocakurt/mehmetcan-titanik-eda", "kernel_id": "13463693"}, {"ref": "monal007/xgboost-and-randomforest-hyper-tuning-for-beginner", "kernel_id": "13236106"}, {"ref": "bsoyka3/my-submission-for-the-titanic-competition", "kernel_id": "13133687"}, {"ref": "xj0461/python-kaggle-start-book-ch02-05", "kernel_id": "13295173"}, {"ref": "jhskaggle/l11-term-1-review", "kernel_id": "13223510"}, {"ref": "suubpy/titanic-eda-tutorial", "kernel_id": "13528326"}, {"ref": "leapahead/titanic", "kernel_id": "13015878"}, {"ref": "elyousfiomar/top8-titanic-disaster-logistic-regression", "kernel_id": "13663126"}, {"ref": "madhurimamaji/titanic", "kernel_id": "13868424"}, {"ref": "martinjeannot/titanic", "kernel_id": "13906035"}, {"ref": "anidimma/titanic-survival-prediction", "kernel_id": "13445219"}, {"ref": "eunnoan/titanic", "kernel_id": "13801684"}, {"ref": "omeroruccelik/rnn-83-1-acc", "kernel_id": "13430446"}, {"ref": "erhanyumer/474-project-titanic", "kernel_id": "13853117"}, {"ref": "pankajbhowmik/beginner-titanic-challenge-hp-tuning-pca-rf", "kernel_id": "13647765"}, {"ref": "roocey/randomforestclassifier-test", "kernel_id": "13372512"}, {"ref": "faustopucheta/titanic-dataset-eda", "kernel_id": "13701333"}, {"ref": "diaziranian/analytics-prediction-titanic-data", "kernel_id": "13072816"}, {"ref": "angieangie/titanic-coding-project-angie", "kernel_id": "13210587"}, {"ref": "mrinalsaini/titanic-survival-predictions", "kernel_id": "13509273"}, {"ref": "abdourahmanabdillahi/notebook87ab5fdb09", "kernel_id": "13642922"}, {"ref": "erfansultan/data-preparation-workshop", "kernel_id": "13333933"}, {"ref": "yoshifumisekiya/review-titanic-for-pluszero", "kernel_id": "13521204"}, {"ref": "davinchang/titanic", "kernel_id": "13055551"}, {"ref": "xiaokedou/titanic", "kernel_id": "13921351"}, {"ref": "rodavok/linearsvc", "kernel_id": "13993179"}, {"ref": "mountaga/simple-titanic-machine-learning-84", "kernel_id": "13369521"}, {"ref": "utkarshxy/beginners-titanic12-algorithms-comparison", "kernel_id": "13719069"}, {"ref": "hiroshiotagaki/titanic-by-glm", "kernel_id": "13804706"}, {"ref": "naleken/titanic-dataset-eda", "kernel_id": "13314939"}, {"ref": "yanngarcia/titanic-generic-approach-of-machine-learning", "kernel_id": "13386018"}, {"ref": "danielbethell/titanic-survival-prediction-using-ann", "kernel_id": "13425392"}, {"ref": "arielz/titanic-ml", "kernel_id": "13669391"}, {"ref": "ankitvermacolumbia/titanic-survival-prediction-top-33", "kernel_id": "13481288"}, {"ref": "mahmoudyussef/titanic-expecting-survivals", "kernel_id": "13753919"}, {"ref": "girishgarg/girish-garg-a34-q2", "kernel_id": "13696110"}, {"ref": "shivadumnawar/titanic-a-complete-tutorial-for-beginners", "kernel_id": "13672851"}, {"ref": "abhishekkumarp/titanic-solution", "kernel_id": "13035128"}, {"ref": "mandokawauso/notebook4000c8dd8b", "kernel_id": "13745638"}, {"ref": "jeevakarthi/notebookb581ef5a7e", "kernel_id": "13935045"}, {"ref": "maazbinasad/titanic-top-18", "kernel_id": "13179621"}, {"ref": "ivochula/titanic-analysis-rf-and-gradientboost", "kernel_id": "13024793"}, {"ref": "juanescendales/titanicdevelop", "kernel_id": "13020816"}, {"ref": "caneralp/a-statistical-analysis-ml-workflow-of-titanic", "kernel_id": "13214383"}, {"ref": "aakash4235/titanic-prediction-with-logistic-regression", "kernel_id": "13219946"}, {"ref": "salhimohamednadjib/titanic-classificationn", "kernel_id": "13832044"}, {"ref": "rmydescarpentries/titanic-calcul-d-aucpr", "kernel_id": "13621897"}, {"ref": "truongson1209/titanic-eda-ml-77", "kernel_id": "13990349"}, {"ref": "shrikantbhardwaj/notebooka909f0f7ff", "kernel_id": "13064283"}, {"ref": "kshitijdhama/exploring-the-voyage-titanic-with-adaboost", "kernel_id": "13374672"}, {"ref": "avirajroy/titanic-ml-updated", "kernel_id": "13933563"}, {"ref": "avirajroy/titanic-ml-hands-on", "kernel_id": "13873876"}, {"ref": "merakit/titanic-competition-notebook", "kernel_id": "13189930"}, {"ref": "denzelmok/simple-titanic-exploration", "kernel_id": "13105659"}, {"ref": "kkomalsingh/titanic", "kernel_id": "13508932"}, {"ref": "gtatiana/titanic-dataset", "kernel_id": "13302335"}, {"ref": "midouazerty/titanic-machine-learning-competitions", "kernel_id": "13674035"}, {"ref": "blackhurt/basic-eda-with-model-comparing-top-14", "kernel_id": "13514727"}, {"ref": "blackhurt/few-steps-to-follow-to-be-in-the-top-20", "kernel_id": "13478547"}, {"ref": "blackhurt/approach-to-be-in-top-10", "kernel_id": "13459641"}, {"ref": "blackhurt/my-approach-to-be-in-top-2", "kernel_id": "13101856"}, {"ref": "blackhurt/my-approach-to-be-in-top-15", "kernel_id": "13070360"}, {"ref": "parthnigam/getting-started-with-titanic-data", "kernel_id": "13933823"}, {"ref": "abdelrahmanragab/classification-of-titanic", "kernel_id": "13023273"}, {"ref": "mehmetramazanektirir/mre-s-first-eda", "kernel_id": "13293258"}, {"ref": "mertbozkr/following-daniel-bourke-s-eda-tutorial", "kernel_id": "13953803"}, {"ref": "magedmahmoud/classy-notebook-titanic-classification-ensemble", "kernel_id": "13079977"}, {"ref": "amankumar270295/titanic", "kernel_id": "13314755"}, {"ref": "aeryss/titanic-testing-residual-based-boosting", "kernel_id": "13867130"}, {"ref": "sanidhyasitaula87/top-3-efficient-ensembling-in-few-lines-of-code", "kernel_id": "13180553"}, {"ref": "onurgule/notebook1a2720b400", "kernel_id": "13365684"}, {"ref": "anudeepreddykatta/titanic", "kernel_id": "13086423"}, {"ref": "priyeshmehta/sample-submission", "kernel_id": "13536614"}, {"ref": "shivamsharma00/ml-basics", "kernel_id": "13387959"}, {"ref": "wikyprash/titanic-data-science-solutions", "kernel_id": "13533831"}, {"ref": "aisyahhrazak/titanic-survival-prediction", "kernel_id": "13225096"}, {"ref": "rushikeshlavate/titanic-submission-rank-in-top-30", "kernel_id": "13593303"}, {"ref": "rushikeshlavate/handling-missing-data-in-titanic-train-dataset", "kernel_id": "13978048"}, {"ref": "ahmedhossain/eda-and-ml-modelling-of-titanic-dataset", "kernel_id": "13859866"}, {"ref": "melihcanyardi/titanic-machine-learning-from-disaster", "kernel_id": "13709946"}, {"ref": "zenth3/titanic", "kernel_id": "13282953"}, {"ref": "jwlee508/data-analysis-for-kaggle-titanic", "kernel_id": "13919027"}, {"ref": "gulmiraiskendirova/titanic-log-regr", "kernel_id": "13718022"}, {"ref": "davidcanozafra/titanic-analysis", "kernel_id": "13838894"}, {"ref": "sangmang/titanic-tutorial", "kernel_id": "13524662"}, {"ref": "divyagiridaran/titanic", "kernel_id": "13854388"}, {"ref": "engkangkoh/titanic-ml-for-disaster-management-and-prediction", "kernel_id": "13742065"}, {"ref": "iavesh/titanic-eda-and-model-submission-intermediate", "kernel_id": "13380299"}, {"ref": "vikaskm/exploratory-data-analysis-and-feature-engineering", "kernel_id": "13013084"}, {"ref": "shubhamsingh1241/titanic-notebook", "kernel_id": "13558836"}, {"ref": "hasanburakavci/titanic-eda-and-classification-top-5", "kernel_id": "13217204"}, {"ref": "godspowero/end-end-ml-pipeline-for-building-predictive-models", "kernel_id": "13016009"}, {"ref": "santhraul/pandas-100-tricks", "kernel_id": "13158800"}, {"ref": "mohammedaffan96/titanic-machine-learning-from-disaster", "kernel_id": "13731175"}, {"ref": "sifodhara/titanic-prediction-using-ann", "kernel_id": "13874282"}, {"ref": "akpmpr/titanic-basic-solution-using-adaboost", "kernel_id": "13916442"}, {"ref": "ammarsahyoun/titanic-ml-vs-ann", "kernel_id": "13515098"}, {"ref": "alexandrocw/titanic-machine-learning-from-disaster-1", "kernel_id": "13880226"}, {"ref": "edrism/titanic-competition", "kernel_id": "13021760"}, {"ref": "agirodon/titanic-10-percent", "kernel_id": "13547036"}, {"ref": "petraderecskei/notebookf69d749dcbtitanic", "kernel_id": "13938924"}, {"ref": "francoisbertrand/sweetviz-2-line-eda-notebook-integration", "kernel_id": "13928833"}, {"ref": "arunvaratharajan/eda-titanic", "kernel_id": "13965776"}, {"ref": "nathantimothyhandoko/random-forest", "kernel_id": "13549412"}, {"ref": "subhamyadav580/titanic-passenger-survival-prediction", "kernel_id": "13819180"}, {"ref": "abidurkomol/titanic-suvival-prediction", "kernel_id": "13214501"}, {"ref": "siondavies/titanic-firstattempt", "kernel_id": "13085182"}, {"ref": "aryaadesh/getting-started-with-titanic", "kernel_id": "13891835"}, {"ref": "desichannel/titanic-model", "kernel_id": "13973741"}, {"ref": "u3509094/newcomer-challenge-the-titanic-problem", "kernel_id": "13306900"}, {"ref": "homayoonkhadivi/new-insight-for-titanic-prediction", "kernel_id": "13361465"}, {"ref": "homayoonkhadivi/titanic-eda-model-hyperparameter-tuning-top-5", "kernel_id": "13636756"}, {"ref": "nitiruengcharoen/titanic-survival-prediction", "kernel_id": "13821516"}, {"ref": "gucchu/titanic-disaster-survival-prediction", "kernel_id": "13431684"}, {"ref": "vaishnavikhilari/titanic-survival-prediction", "kernel_id": "13429461"}, {"ref": "tracyporter/titanic-pca", "kernel_id": "13419079"}, {"ref": "tracyporter/titanic-numpy-pandas-matplotl", "kernel_id": "13974410"}, {"ref": "blakelucey/neural-network-titanic", "kernel_id": "13115240"}, {"ref": "muhammadhadhari/titanic-by-datanics", "kernel_id": "13139697"}, {"ref": "alexandrosmoussas/my-titanic-project", "kernel_id": "13469763"}, {"ref": "orhanari/titanic-v1-2-1", "kernel_id": "13139682"}, {"ref": "japandata509/titanic-predicting-by-gender", "kernel_id": "13463757"}, {"ref": "japandata509/titanic-decisiontreeclassifier", "kernel_id": "13497481"}, {"ref": "japandata509/titanic-draw-a-heatmap-for-beginners", "kernel_id": "13556872"}, {"ref": "japandata509/titanic-sgdclassifier", "kernel_id": "13619774"}, {"ref": "japandata509/titanic-eda-and-data-visualization", "kernel_id": "13252765"}, {"ref": "souleymanediakite/titanic-predict", "kernel_id": "13471972"}, {"ref": "leugurdesarrio/titanic-with-pandas-profiling", "kernel_id": "13151860"}, {"ref": "orlovmikhail/titanic-data-playground", "kernel_id": "13390492"}, {"ref": "fazaakbar/notebook-faza-titanic-handlemissingdata", "kernel_id": "13118741"}, {"ref": "alghanirfan/titanic-mlp-baseline", "kernel_id": "13801996"}, {"ref": "sagarsinha/titanic-94", "kernel_id": "13730131"}, {"ref": "sahintiryaki/titanic", "kernel_id": "13756684"}, {"ref": "onispellsword/passanger-survival-probability-on-titanic", "kernel_id": "13420831"}, {"ref": "shashankmkadiwal/my-first-ml-attempt-logistic-regression", "kernel_id": "13286660"}, {"ref": "madhavraverkar/titanic-prediction", "kernel_id": "13654135"}, {"ref": "abinayaaruchmay/titanic-prediction", "kernel_id": "13396919"}, {"ref": "artyomkolas/titanic-competition", "kernel_id": "13218661"}, {"ref": "itoryosuke/titanic-12-10-2022053", "kernel_id": "13450086"}, {"ref": "theblackmamba31/titanic-tutorial-neural-network", "kernel_id": "13696907"}, {"ref": "theblackmamba31/titanic-data-analysis-and-visualization", "kernel_id": "13998996"}, {"ref": "niket1604/pycaret-titanic-0-78229-top-13", "kernel_id": "13100637"}, {"ref": "niket1604/my-first-kaggle-project", "kernel_id": "13033177"}, {"ref": "pramodmodi/titanic-basic-code", "kernel_id": "13795053"}, {"ref": "playercjg/notebook25e0c5dd69", "kernel_id": "13534060"}, {"ref": "olanrewajurasheed/titanic-dataset-with-gradient-boosting", "kernel_id": "13443651"}, {"ref": "roohisharma/titanic", "kernel_id": "13426095"}, {"ref": "jasony96/my-titanic-solution", "kernel_id": "13251454"}, {"ref": "kritanjalijain/titanic-predictions", "kernel_id": "13220242"}, {"ref": "prakharkatiyar08/it-s-my-titanic", "kernel_id": "13365375"}, {"ref": "sathianpong/titanic-feature-report-and-prediction", "kernel_id": "13894282"}, {"ref": "nurulaminrobin/titanic-data-science-solutions", "kernel_id": "13489847"}, {"ref": "jasontoo/titanic-dataset-with-voting-classfier", "kernel_id": "13080311"}, {"ref": "mercedesterragno/impact-of-data-preparation-in-models-performance", "kernel_id": "13159584"}, {"ref": "abdelrahmanzied/titanic-top-14-who-lives-and-who-dies", "kernel_id": "13796931"}, {"ref": "vinciuscarassini/titanic", "kernel_id": "13368630"}, {"ref": "zayanmakar/titanic-survived-prediction-using-neural-network", "kernel_id": "13774531"}, {"ref": "vishnuramachandran/getting-started-with-titanic", "kernel_id": "13460233"}, {"ref": "feyzazkefe/titanic-welcome-on-board", "kernel_id": "13270938"}, {"ref": "josmaxbarrios/titanic-disaster", "kernel_id": "13394833"}, {"ref": "angrewm/titanic-pt-2", "kernel_id": "13346141"}, {"ref": "yagmursezendemir/titanic-eda", "kernel_id": "13957713"}, {"ref": "jackttai/titanic-classification-using-xgboost", "kernel_id": "13589439"}, {"ref": "gigunlee/titanic-intermediate", "kernel_id": "13652877"}, {"ref": "gigunlee/titanic-beginner", "kernel_id": "13643237"}, {"ref": "aravrs/titanic-models-benchmark", "kernel_id": "13307141"}, {"ref": "raafaq/xgbclassifier", "kernel_id": "13605209"}, {"ref": "b147swapnanilray/b-147-swapnanil-ray-ai-ml-q2-midsem2", "kernel_id": "13696047"}, {"ref": "udit1907/titanic-disaster-beginner-python-documentation", "kernel_id": "13482615"}, {"ref": "alirezashadmani/titanicsurvivedpassenger-votingclassifier-ml", "kernel_id": "13748120"}, {"ref": "gaurav2106/titanic-machine-learning-from-disaster-beginner", "kernel_id": "13997261"}, {"ref": "tanmayunhale/titanic-top-4-hyperparameter-tuning", "kernel_id": "13505880"}, {"ref": "thelazyaz/titanic-dataset", "kernel_id": "13661825"}, {"ref": "aimenbaig/titanic-competition", "kernel_id": "13624561"}, {"ref": "shenshu1992/data-analysis-using-pandas", "kernel_id": "13526906"}, {"ref": "aguado/eda-ensemble-modeling-as-a-d-s-student", "kernel_id": "13964502"}, {"ref": "vivekpat/my-first-dedicated-project", "kernel_id": "13804024"}, {"ref": "vivekpat/notebook593bb40f51", "kernel_id": "13917852"}, {"ref": "sanchman/titanic-eda", "kernel_id": "13053840"}, {"ref": "ivanprotopopov/titanic-xaska", "kernel_id": "13021356"}, {"ref": "swatiaryan/titanic-solution-easiest-way1", "kernel_id": "13804886"}, {"ref": "startover205/fastai-2-titanic-rf", "kernel_id": "13440752"}, {"ref": "yemredata/titanic", "kernel_id": "13883832"}, {"ref": "riteshpatil8998/top-11-leaderboard-titanic-data-analysis", "kernel_id": "13816070"}, {"ref": "fuki29/eda-titanic", "kernel_id": "13463794"}, {"ref": "colearninglounge/titanic-solution-comprehensive-with-explanation", "kernel_id": "13397137"}, {"ref": "mellebrouwer/titanic-baseline", "kernel_id": "13480826"}, {"ref": "leccisandro/titanic-eda-model-comparison", "kernel_id": "13221501"}, {"ref": "daniellimapo/titanic-how-to-analyse-and-plotting-some-data", "kernel_id": "13371398"}, {"ref": "klmsathishkumar/titanic-data-survival-prediction", "kernel_id": "13951373"}, {"ref": "jesuscazares/pandas-100-trucos-jacm-y-vaup", "kernel_id": "13098242"}, {"ref": "zaidaalvarado/100-trucos-de-pandas", "kernel_id": "13023264"}, {"ref": "anshumanas/titanic2", "kernel_id": "13877452"}, {"ref": "jehunseo/practice-eda-lgbm-k-fold", "kernel_id": "13187471"}, {"ref": "abhirajdas/getting-started-with-titanic", "kernel_id": "13565348"}, {"ref": "necdetgven/titanic-data-science", "kernel_id": "13946600"}, {"ref": "hibatalat/titanic-first-code", "kernel_id": "13838479"}, {"ref": "hibatalat/ht-titanic-first-attempt", "kernel_id": "13710158"}, {"ref": "siva2020s/titanicnew2020", "kernel_id": "13750042"}, {"ref": "siva2020s/titanic-final", "kernel_id": "13997068"}, {"ref": "fernandosouzalaube/getting-started-with-titanic", "kernel_id": "13178799"}, {"ref": "manjupoovathingal/titanic-python-1", "kernel_id": "13478810"}, {"ref": "burgundxyz/titanic-with-rf-and-feature-engineering-0-73", "kernel_id": "13611484"}, {"ref": "vctorponce/pandas-100-tricks-vdpl", "kernel_id": "13040888"}, {"ref": "ricardocantumartinez/pandas-100-tricks", "kernel_id": "13274547"}, {"ref": "marialuisafuentes/pandas-100-tricks", "kernel_id": "13117045"}, {"ref": "mariocastrohdz/pandas-100-trucos-jmch", "kernel_id": "13118615"}, {"ref": "javijj0/pandas-100-trucos", "kernel_id": "13097013"}, {"ref": "josuenio/100-trucos-de-pandas", "kernel_id": "13414587"}, {"ref": "choihanbin/logistic-regression-principle", "kernel_id": "13868330"}, {"ref": "choihanbin/predict-titanic-survival-by-adaptive-linear-neuron", "kernel_id": "13842318"}, {"ref": "choihanbin/titanic-survival-prediction-with-perceptron", "kernel_id": "13739819"}, {"ref": "choihanbin/titanic-survival-prediction-eda-ensemble", "kernel_id": "13359584"}, {"ref": "mahmoudalaa01010101/eda-to-prediction-dietanic", "kernel_id": "13001789"}, {"ref": "anggerenn/titanic-prediction", "kernel_id": "13934212"}, {"ref": "josupra/titanic-essentials-logist-knn-dectree-rforest", "kernel_id": "13911451"}, {"ref": "prakharrai7/predicting-survival-on-titanic-dataset", "kernel_id": "13845311"}, {"ref": "lynnshin/titanic-ensemble-linear-and-tree", "kernel_id": "13943714"}, {"ref": "lynnshin/tree-model", "kernel_id": "13938363"}, {"ref": "lynnshin/linear-model", "kernel_id": "13938527"}, {"ref": "mostafahegab/simple-feature-engineering-with-logisticregression", "kernel_id": "13278918"}, {"ref": "gautamomjain/titanic-survival-prediction-top-33", "kernel_id": "13509818"}, {"ref": "junyingsg/a-beginner-s-comprehensive-guide-to-using-xgboost", "kernel_id": "13095448"}, {"ref": "kasperstouge/fork-of-notebookb3b26659be", "kernel_id": "13055333"}, {"ref": "linealbertsen/portfolio-1-b", "kernel_id": "13502313"}, {"ref": "eternalteam/titanic", "kernel_id": "13366003"}, {"ref": "cristinaesquivelq/pandas-100-trucos-1739623-y-1840340", "kernel_id": "13117047"}, {"ref": "serorjb/top-3-extremely-randomized-trees", "kernel_id": "13773786"}, {"ref": "shubhamagrawal6241/ttc-kmeans", "kernel_id": "13774279"}, {"ref": "shubhamagrawal6241/titanic-disasters", "kernel_id": "13167015"}, {"ref": "nobuakiotani/kaggle-tutorial-01-first-submission", "kernel_id": "13633044"}, {"ref": "nobuakiotani/tutorial-03-feature-engineering", "kernel_id": "13639693"}, {"ref": "mariacvesterli/portfolio-1b-test", "kernel_id": "13898362"}, {"ref": "mariacvesterli/portfolio-1b", "kernel_id": "13875924"}, {"ref": "mariacvesterli/ranfor-features-from-data-deep-dive-no-deck", "kernel_id": "13539589"}, {"ref": "ryanmoore35/titanic-ml-first-attempt", "kernel_id": "13838887"}, {"ref": "ahmedeldesoki/titanic-data-science-by-ahmed-el-desoki", "kernel_id": "13161304"}, {"ref": "raulmilla/practica-1-milla-juan", "kernel_id": "13779299"}, {"ref": "magno365/md-grupom-practica2", "kernel_id": "13402471"}, {"ref": "joseangelroyolopez/md-grupod-practica2", "kernel_id": "13431229"}, {"ref": "pablomoreiragarcia/miner-a-de-datos-practica-2-ordinaria", "kernel_id": "13239556"}, {"ref": "gonzalopinto/md-grupoa-practica1recuperacion-ipynb", "kernel_id": "13984426"}, {"ref": "gonzalopinto/md-grupoa-practica2extraordinaria-ipynb", "kernel_id": "13487802"}, {"ref": "michaelgeracie/titanic-top-5-learning-from-feature-engineering", "kernel_id": "13854354"}, {"ref": "michaelgeracie/modelling-overview-classification", "kernel_id": "13085632"}, {"ref": "amaliaristantya/predicting-the-survival-of-titanic-passengers", "kernel_id": "13141942"}, {"ref": "datajameson/titanic-eda-prediction-15-models-top-4", "kernel_id": "13489603"}, {"ref": "mehmetkaygusuz/titanic-eda", "kernel_id": "13517417"}, {"ref": "ymalov/logisticregression-score-0-77272", "kernel_id": "13541095"}, {"ref": "hemlatasharma12/lazypredictor-fortitanic", "kernel_id": "13088531"}, {"ref": "iamhdave/harshit-titanic", "kernel_id": "13423075"}, {"ref": "jessy9955/titanic-from-colab-question", "kernel_id": "13615872"}, {"ref": "joseseplveda/pandas-100-tricks", "kernel_id": "13119608"}, {"ref": "jonatanrestrepo/titanic-predictions", "kernel_id": "13209215"}, {"ref": "aurbcd/titanic-data-viz-science-model-comparison", "kernel_id": "13410275"}, {"ref": "amenislama/getting-started-with-titanic", "kernel_id": "13610042"}, {"ref": "andyfoo/titanic-competition", "kernel_id": "13496059"}, {"ref": "mahmoudlimam/titanicxgb", "kernel_id": "13479286"}, {"ref": "mahmoudlimam/titanic-randomforest-imputation-pipeline", "kernel_id": "13397894"}, {"ref": "alkaryadav/titanic-survivalpredictionusinglogisticregression", "kernel_id": "13332780"}, {"ref": "alperenkse/alperenk-se-titanik-eda", "kernel_id": "13679373"}, {"ref": "tsorifan/notebook9f93ac0bae", "kernel_id": "13056804"}, {"ref": "kerrinkim/titanic-from-colab-question", "kernel_id": "13768458"}, {"ref": "sarunasnoreika/titanic-nn-pytorch-first-time", "kernel_id": "13728829"}, {"ref": "herbertvente/notebook86dbf14925", "kernel_id": "13967879"}, {"ref": "garyrauco/titanic-comp-using-logisitic-reg", "kernel_id": "13291871"}, {"ref": "sarirogovin/titanic-learning-data-science-from-disaster", "kernel_id": "13900238"}, {"ref": "azxc9595/tf-lr-without-enumerating-categorical-values", "kernel_id": "13339042"}, {"ref": "minalsawant/survival-predictions-on-titanic", "kernel_id": "13490829"}, {"ref": "mervehatipolu/titanic-eda", "kernel_id": "13136612"}, {"ref": "dibya56/titanic-machine-learning-from-disaster-notebook", "kernel_id": "13167892"}, {"ref": "rajesharkar/first-work-titanic-data-prediction", "kernel_id": "13458966"}, {"ref": "kurukuru8395/notebook4979e3b9c0", "kernel_id": "13371132"}, {"ref": "tanpatk/titanic-using-pycaret", "kernel_id": "13105341"}, {"ref": "vito86/getting-started-with-titanic", "kernel_id": "13591087"}, {"ref": "jeongwonkim10516/titanic-machine-learning-from-disaster", "kernel_id": "13233557"}, {"ref": "henriquegaspar/titanic-random-forest", "kernel_id": "13603870"}, {"ref": "ray314/titanic-machine-learning-2", "kernel_id": "13012093"}, {"ref": "shubham07prasad/titanic-xgbc", "kernel_id": "13924275"}, {"ref": "mehrnazkh/mehrnaz-titanic", "kernel_id": "13420077"}, {"ref": "yogeshyadav1112/titanic-train", "kernel_id": "13270548"}, {"ref": "alperenspr/alperensupur-titanic-eda", "kernel_id": "13838725"}, {"ref": "pandekp/analysis-of-titanic-dataset", "kernel_id": "13814642"}, {"ref": "discoveringrealty/titanic-random-forest-grad-boost-neural-net", "kernel_id": "13909099"}, {"ref": "eminfidan/titanic-project-emin", "kernel_id": "13955941"}, {"ref": "evancofsky/getting-started-with-titanic", "kernel_id": "13453167"}, {"ref": "nagakalyan2784/titanic-machine-learning-from-disaster", "kernel_id": "13187813"}, {"ref": "imranriazchohan76/decission-tree-naive-bayes-titanic-problem", "kernel_id": "13572792"}, {"ref": "sethnaman/titanic", "kernel_id": "13773137"}, {"ref": "dipeshkurasau/titanic-survival-prediction", "kernel_id": "13527762"}, {"ref": "emirhankilic/titanic-eda", "kernel_id": "13680692"}, {"ref": "semenedel/notebook0d1eb8ab9b", "kernel_id": "13283115"}, {"ref": "pobedash/titanic-decision-tree-sait-vntu-pobidash", "kernel_id": "13062000"}, {"ref": "wayanpdw/titanic-datascience-competition", "kernel_id": "13155181"}, {"ref": "mujenkavak/titanic-competititon-explatory-data-analysis", "kernel_id": "13635206"}, {"ref": "rishee/xgboost-titanic", "kernel_id": "13296081"}, {"ref": "fayssalelaazouzi/titanic-best-working-classifier", "kernel_id": "13396342"}, {"ref": "keenanzhuo/titanic", "kernel_id": "13182846"}, {"ref": "tarasskrynnyk/titanic-very-simple-decision-tree-with-tuning", "kernel_id": "13156201"}, {"ref": "kristiandilov/titanic-competition", "kernel_id": "13229034"}, {"ref": "xuanzhihuang/titanic-survival-prediction-adam-huang", "kernel_id": "13708185"}, {"ref": "abhishekv5055/titanic-machine-learning-from-disaster", "kernel_id": "13795316"}, {"ref": "sohrabdaemi/titanic-eda-and-basic-predictions-knn-and-logreg", "kernel_id": "13602632"}, {"ref": "hosubjeong/random-forest", "kernel_id": "13977833"}, {"ref": "eladziv39/fifa-project-ez", "kernel_id": "13171643"}, {"ref": "nissria/first-project-titanic-prediction", "kernel_id": "13005751"}, {"ref": "shauraysingh/notebook1ae07d850a", "kernel_id": "13112891"}, {"ref": "xuliqdqd/notebooke315f9f3f9", "kernel_id": "13327815"}, {"ref": "itsbhups/titanic-classification", "kernel_id": "13921181"}, {"ref": "mohammaddhikri/notebook43fa710f1b", "kernel_id": "13144115"}, {"ref": "daotan/titanic-using-randomforest", "kernel_id": "13334592"}, {"ref": "kyungrankim/notebook219d94e36b", "kernel_id": "13938338"}, {"ref": "mangikim/wowow-my-first-notebook", "kernel_id": "13822092"}, {"ref": "baehyunchul/titanic-by-trajanus", "kernel_id": "13621559"}, {"ref": "amareshmaduraiveeran/titanic-ml-disaster-survival-prediction-using-xgb", "kernel_id": "13285656"}, {"ref": "amareshmaduraiveeran/titanic-machine-learning-from-disaster", "kernel_id": "13305750"}, {"ref": "mjk0211/titanic-mjk", "kernel_id": "13810994"}, {"ref": "rahuljha21021998/let-s-save-jack-try-1-basic-approach-to-solve", "kernel_id": "13063682"}, {"ref": "jaredfeeley/titanic-predictions", "kernel_id": "13205451"}, {"ref": "danilorosmaninho/danilo-titanic-n2", "kernel_id": "13634920"}, {"ref": "rufusperusomala/titanic-eda-and-train-data-accuracy", "kernel_id": "13638299"}, {"ref": "vimarich/titanic-v04-svc-dt-rf-knn-lgr-pca-ols", "kernel_id": "13240991"}, {"ref": "kangdonghwa/eagermot", "kernel_id": "13032021"}, {"ref": "rutvikshiyaniya/titanic-first-kaggle", "kernel_id": "13467524"}, {"ref": "tarakamer/getting-started-with-titanic", "kernel_id": "13238914"}, {"ref": "ads2550696/titanic-passenger-survival-prediction", "kernel_id": "13050386"}, {"ref": "hanrongtu/notebookc0aba3e8c5", "kernel_id": "13009587"}, {"ref": "mayankrajpurohit/titanic-break-the-ice", "kernel_id": "13039519"}, {"ref": "cx1348656979/notebooka2baff5213", "kernel_id": "13846407"}, {"ref": "tubagusibrohim/titanic-tutorial", "kernel_id": "13067031"}, {"ref": "artugceylan/art-titanic", "kernel_id": "13638798"}, {"ref": "caseyidzikowski/titanic-1", "kernel_id": "13095258"}, {"ref": "metehanpala/titanic-competation-mp", "kernel_id": "13103645"}, {"ref": "aksener/hello-titanic", "kernel_id": "13036392"}, {"ref": "jnikhil/titanic", "kernel_id": "13122086"}, {"ref": "cmuser/cmuser-notebook", "kernel_id": "13004392"}, {"ref": "nilesh0561/titanic-dataset", "kernel_id": "13788163"}, {"ref": "piyushsharma003/titanic-piyush", "kernel_id": "13135141"}, {"ref": "akihitoirie/demo-notebook", "kernel_id": "13880077"}, {"ref": "abhishekkandoi/notebookc7abd3c823", "kernel_id": "13136179"}, {"ref": "muskankaursethi/muskan-kaur-titanic", "kernel_id": "13112866"}, {"ref": "andleebhayath/getting-started-with-titanic-dataset", "kernel_id": "13073141"}, {"ref": "atakandalkran/titanic-eda", "kernel_id": "13684557"}, {"ref": "siddharthj92/siddharth-jain-titanic", "kernel_id": "13113439"}, {"ref": "ivanpermyakov/titanic-classic-decissiontree", "kernel_id": "13634473"}, {"ref": "sushildeore/survival-on-the-titanic-beginner-friendly", "kernel_id": "13443004"}, {"ref": "lsheeeo/titanic-lightgbm", "kernel_id": "13208239"}, {"ref": "simyeji/titanic-2", "kernel_id": "13100124"}, {"ref": "vishalpatel1111/notebooke8b1db4361", "kernel_id": "13053380"}, {"ref": "georgedwatson/diving-into-the-shipwreck", "kernel_id": "13084204"}, {"ref": "dmcondon/titanic-decision-trees", "kernel_id": "13290484"}, {"ref": "dmcondon/titanic-random-forests", "kernel_id": "13385017"}, {"ref": "juanfelipevalencia/trabajo-tae-titanic", "kernel_id": "13066109"}, {"ref": "bohuaxu/cs-100-data-science-1b4492", "kernel_id": "13105994"}, {"ref": "yuxianchen/cs-100-data-science-224299", "kernel_id": "13057084"}, {"ref": "jialongxu/cs-100-data-science", "kernel_id": "13026342"}, {"ref": "lovezj/titanic001", "kernel_id": "13047628"}, {"ref": "ashutoshsju/my-approach", "kernel_id": "13135196"}, {"ref": "amirsher/titanic-test-classifiers", "kernel_id": "13308462"}, {"ref": "rehmanayounis/titanicprojectsurvivalprediction", "kernel_id": "13212632"}, {"ref": "mistyd/notebook1a1396398a", "kernel_id": "13035577"}, {"ref": "mistyd/cs-100-data-science", "kernel_id": "13078191"}, {"ref": "berkec/titanic-eda", "kernel_id": "13361955"}, {"ref": "danielnestor/titanic", "kernel_id": "13019208"}, {"ref": "isabellatobias/simple-predictive-analysis-of-titanic-survivors", "kernel_id": "13044994"}, {"ref": "waleedmahmoudramdan/notebook1c83a366c8", "kernel_id": "13082218"}, {"ref": "saishiyam/titanic-dataset", "kernel_id": "13150965"}, {"ref": "oaastartes/titanic", "kernel_id": "13018485"}, {"ref": "ayubdarmawan/digit-recognizer", "kernel_id": "13486290"}, {"ref": "sarahwiseman/titanic-notebook-with-pipeline", "kernel_id": "13737929"}, {"ref": "chrisicaudill/titanic-competition-random-forests", "kernel_id": "13043439"}, {"ref": "csachgau/first-attempt-with-titanic-dataset", "kernel_id": "13635321"}, {"ref": "srikondapalli/titanic-project", "kernel_id": "13783734"}, {"ref": "elidedory/cs-100-data-science", "kernel_id": "13051677"}, {"ref": "jennymcphail/notebook4f4f8553b1", "kernel_id": "13053511"}, {"ref": "jennymcphail/notebooke8b1db4361", "kernel_id": "13078311"}, {"ref": "tanjunxian/cs-100-data-science-8ba600", "kernel_id": "13057558"}, {"ref": "arslanhameed/arslan-submission-notebook", "kernel_id": "13080665"}, {"ref": "josricardoribeiro/randomforrest-train", "kernel_id": "13363510"}, {"ref": "f10rence/3-parameters", "kernel_id": "13092061"}, {"ref": "hughhamilton/smcm-titanic-first-attempt", "kernel_id": "13514757"}, {"ref": "kyleli8/titanic-first-model", "kernel_id": "13841655"}, {"ref": "indrajitsinh/titanic-project", "kernel_id": "13746371"}, {"ref": "xueliao/cs-100-data-science", "kernel_id": "13083794"}, {"ref": "maryamsharifi/titanic-thefirsttry-lr", "kernel_id": "13966315"}, {"ref": "jebrielabdul/attempt-1-abdul", "kernel_id": "13181043"}, {"ref": "hyejin2222/my-titanic", "kernel_id": "13129236"}, {"ref": "yoohyuck/titanic-logistic-regression-pytorch", "kernel_id": "13129723"}, {"ref": "reichellarez/titanic-laboratorio-admin", "kernel_id": "13142019"}, {"ref": "oliverlocke/titanic", "kernel_id": "13278672"}, {"ref": "adityagupta235/titanic", "kernel_id": "13451121"}, {"ref": "yyuan94/titanic-basic", "kernel_id": "13154015"}, {"ref": "kobayakawaideal/ideal-2", "kernel_id": "13702919"}, {"ref": "nickgoralka/titanic-ml-competition-top-18", "kernel_id": "13571140"}, {"ref": "nickkrossrit/project-2-titanic-nicholas-kross", "kernel_id": "13204556"}, {"ref": "ubioobu/notebook525a0787ea", "kernel_id": "13621704"}, {"ref": "suwonkang/hw5-suwon", "kernel_id": "13413499"}, {"ref": "adityamishra19/titanic-story-by-machine", "kernel_id": "13235022"}, {"ref": "robinvoigt/notebooka775c7f5d1", "kernel_id": "13172836"}, {"ref": "manyamsonypriya/titanic-dataset1", "kernel_id": "13472338"}, {"ref": "farshanafathima/titanic-dataset", "kernel_id": "13175342"}, {"ref": "tarvindraju/complete-titanic-eda", "kernel_id": "13581484"}, {"ref": "fajarmuharrom/import-and-load-data", "kernel_id": "13688386"}, {"ref": "pythonkumar/titanic-solution-easiest-way-93-accuracy", "kernel_id": "13787565"}, {"ref": "alexanderossipov/titanic-simple-ensemble-voting-top-3", "kernel_id": "13514343"}, {"ref": "alexanderossipov/titanic-simple-voting-based-on-cross-validation", "kernel_id": "13359181"}, {"ref": "gabrielloli/titanic-quest", "kernel_id": "13563104"}, {"ref": "stephanbauer/titanic-my-first-dive-into-ml-classification", "kernel_id": "13834670"}, {"ref": "shameerrao/getting-started-with-titanic", "kernel_id": "13431693"}, {"ref": "urvashichoudhary/titanic-whosurvived", "kernel_id": "13265255"}, {"ref": "hrishikeshdeshmukh06/notebook4b7a124957", "kernel_id": "13851164"}, {"ref": "teddy880511/titanic-random-tree-primary", "kernel_id": "13725104"}, {"ref": "emrekrdenz/titanik-veri-analizi", "kernel_id": "13440340"}, {"ref": "manuiade/titanic-challenge-solution-first-kaggle-notebook", "kernel_id": "13738085"}, {"ref": "kt1281/titanic", "kernel_id": "13695291"}, {"ref": "ivanpl/titanic-1st-run", "kernel_id": "13342563"}, {"ref": "harrycheng55/titanic-first-try-yall", "kernel_id": "13584740"}, {"ref": "muratmert/simple-analysis-for-titanic", "kernel_id": "13408586"}, {"ref": "ainishlodaya/titanic-machine-learning-from-disaster", "kernel_id": "13376301"}, {"ref": "joelarry/data-science-machine-learning-101", "kernel_id": "13467616"}, {"ref": "ranjitthakur/notebook3ec8ecdf91", "kernel_id": "13600135"}, {"ref": "harshitkaran/titanic", "kernel_id": "13411861"}, {"ref": "gexueren/titanic", "kernel_id": "13378134"}, {"ref": "margaridacosta/adaboost-classifier-titanic-dataset", "kernel_id": "13604121"}, {"ref": "margaridacosta/titanic-exploratory-data-analysis", "kernel_id": "13514729"}, {"ref": "margaridacosta/titanic-statistical-analysis", "kernel_id": "13762073"}, {"ref": "siddiqian/assignment-1", "kernel_id": "13530696"}, {"ref": "siddiqian/assignment-1-multivariate", "kernel_id": "13620375"}, {"ref": "siddiqian/fork-of-assignment-1", "kernel_id": "13624599"}, {"ref": "barselet/titanic-crazy-e-d-a", "kernel_id": "13797426"}, {"ref": "jagaya/titanic-notebook-clean", "kernel_id": "13594398"}, {"ref": "yassinehane/titanic-prediction-challenge-2", "kernel_id": "13600712"}, {"ref": "yassinehane/titanic-prediction-challenge", "kernel_id": "13562261"}, {"ref": "amishapatel2020/titanic-logistic-regression-solution", "kernel_id": "13422363"}, {"ref": "amishapatel2020/titanic-getting-better-eda-top-14", "kernel_id": "13529130"}, {"ref": "babinghosh2020/titanic-eda", "kernel_id": "13529399"}, {"ref": "masterplankj7/titanic", "kernel_id": "13395517"}, {"ref": "brettlines/titanic", "kernel_id": "13814045"}, {"ref": "maxmuzeau/titanic-model-max-muzeau", "kernel_id": "13882987"}, {"ref": "liyilang/getting-started-with-titanic", "kernel_id": "13407215"}, {"ref": "suryaprakashpathak/getting-started-with-titanic", "kernel_id": "13426792"}, {"ref": "muskansuri/titanic-mus", "kernel_id": "13509223"}, {"ref": "kaliappanyadav/titanic", "kernel_id": "13759661"}, {"ref": "alicanakgun/aakgun-titanic-eda", "kernel_id": "13703153"}, {"ref": "rodrigomedina/titanic-1-0", "kernel_id": "13473984"}, {"ref": "calebmbakwe/titanic", "kernel_id": "13661015"}, {"ref": "abolfazlmalekahmadi/notebooke19a83b97c", "kernel_id": "13839497"}, {"ref": "louispeters/titanic-random-forest", "kernel_id": "13494032"}, {"ref": "larasluthfiyyah/laras05", "kernel_id": "13642352"}, {"ref": "taka11111111/kaggle", "kernel_id": "13618704"}, {"ref": "fatihakta/titanic-ead-kernel", "kernel_id": "13697342"}, {"ref": "auliasalsabilamp/notebookdd7962a4e8", "kernel_id": "13514848"}, {"ref": "ljep85664/notebookb4421028b9", "kernel_id": "13515341"}, {"ref": "aviralb13/titanic-ml", "kernel_id": "13943249"}, {"ref": "rezanoorazizah/titanic", "kernel_id": "13523991"}, {"ref": "kwangkyunchoi/titanic-from-colab-question", "kernel_id": "13615991"}, {"ref": "idaayuputudewikk/titanic", "kernel_id": "13523749"}, {"ref": "annisasarahfadhila/titanic-survivor-prediction", "kernel_id": "13530523"}, {"ref": "hakki0924/my-first-titanic", "kernel_id": "13531857"}, {"ref": "pjw879/titanic-tutorial-for-beginners-2020", "kernel_id": "13534276"}, {"ref": "miamiahoon/play-titanic-dataset-with-r", "kernel_id": "13538640"}, {"ref": "paulaaprigioassis/notebook787c158682", "kernel_id": "13545950"}, {"ref": "naveenbhuvaneswaran/titanic-passenger-surviving-predictions", "kernel_id": "13689598"}, {"ref": "aungmaw/titanic-survival", "kernel_id": "13847121"}, {"ref": "gauravjha127/titanic-survive-analysis", "kernel_id": "13590251"}, {"ref": "guzheng624/titanic", "kernel_id": "13673019"}, {"ref": "donsohn/titanic-donsohn", "kernel_id": "13842638"}, {"ref": "donsohn/titanic-automl-donsohn", "kernel_id": "13843738"}, {"ref": "annaycc24/notebooke5829bc923", "kernel_id": "13843951"}, {"ref": "daniellemlynch/titanic-final-project", "kernel_id": "13585145"}, {"ref": "laurenestrada/beginning-challenge-titanic", "kernel_id": "13632440"}, {"ref": "amgadelsayed/titanic-top-4-with-ensemble-modeling", "kernel_id": "13653024"}, {"ref": "sruthiprabhasuresh/titanic-logistic-regression", "kernel_id": "13913514"}, {"ref": "andyten/titanic-first-draft", "kernel_id": "13927525"}, {"ref": "chaitanyagautam/getting-started-with-titanic", "kernel_id": "13626040"}, {"ref": "praveenchary/titanic-ml", "kernel_id": "13809905"}, {"ref": "shashankshreyaskar/titanic-wreck", "kernel_id": "13633060"}, {"ref": "sstroa/getting-started-with-titanic", "kernel_id": "13641398"}, {"ref": "physis/titanic-first-try", "kernel_id": "13833817"}, {"ref": "anonymousr007/titanic-basic-solution-using-adaboost", "kernel_id": "13726385"}, {"ref": "mrtestejj/mlr3-titanic-svm-tuned", "kernel_id": "13816330"}, {"ref": "mrsah00/titanic-mrsah00", "kernel_id": "13769086"}, {"ref": "adamecius/titanic-1-try", "kernel_id": "13851988"}, {"ref": "lllllwnnn/notebookb88395f3c6", "kernel_id": "13978929"}, {"ref": "simminu/sim-s-titanic-predict", "kernel_id": "13831227"}, {"ref": "rafafrontczak/notebook29a67a60c3", "kernel_id": "13798446"}, {"ref": "brettbeaulieu/getting-started-with-titanic", "kernel_id": "13905218"}, {"ref": "akshatadesai/titanic-challenge", "kernel_id": "13842907"}, {"ref": "hitvarthdiwanji/titanic-challenge-hd", "kernel_id": "13795550"}, {"ref": "kdrortatas/kdrortatas-s-titanic-eda", "kernel_id": "13987418"}, {"ref": "mahsaaghaie/titanic", "kernel_id": "13815989"}, {"ref": "rodolfoshimotsu/titanic-classification-with-multiple-methods", "kernel_id": "13820432"}, {"ref": "corruptmem/titanic", "kernel_id": "13817472"}, {"ref": "dennisho/titanic", "kernel_id": "13825925"}, {"ref": "frederikjuul/portfolio1b", "kernel_id": "13830114"}, {"ref": "hossamebrahim/titanic-ml-for-beginners", "kernel_id": "13969320"}, {"ref": "leeikgyu/data-analysis-for-titanic", "kernel_id": "13932128"}, {"ref": "aldoukancert/machine-learning-in-titanic-s-data", "kernel_id": "13987522"}, {"ref": "dpl9753/my-first-data-analysis-for-titanic", "kernel_id": "13880761"}, {"ref": "qyuanyuan/k-fold", "kernel_id": "13978283"}, {"ref": "kartik2khandelwal/my-first-notebook", "kernel_id": "13921309"}, {"ref": "gorkemyilmaz/titanic-project", "kernel_id": "13899918"}, {"ref": "mengjingji/titanic", "kernel_id": "13915424"}, {"ref": "wafadaghbari/titanic-data-science-solutions", "kernel_id": "13915034"}, {"ref": "whitishlion/titanic-whitelion", "kernel_id": "13933573"}, {"ref": "badrala/titanic-ml-0-7847-the-1st-of-a-long-series", "kernel_id": "13986002"}, {"ref": "soorya14parthiban/spp-kaggle1-titanicml", "kernel_id": "13993029"}, {"ref": "heyitsryan678/fsu-demo", "kernel_id": "14972381"}, {"ref": "spiroganas/healthcare-deep-learning-chapter-2", "kernel_id": "14715255"}, {"ref": "doosrijanam/titanic-prediction", "kernel_id": "14334026"}, {"ref": "abhisr/getting-started-with-titanic", "kernel_id": "14074051"}, {"ref": "jesuslopezlopez/reto-titanicjll-arbol-decisi-n", "kernel_id": "14128660"}, {"ref": "lucaamore/predict-survival-the-titanic-xgboost", "kernel_id": "14457133"}, {"ref": "jamesmcguigan/titanic-profilereport-eda", "kernel_id": "14722172"}, {"ref": "tibaes/titanic-ia-dojo-junto", "kernel_id": "14672250"}, {"ref": "allunia/differential-evolution", "kernel_id": "14027842"}, {"ref": "martinmarenz/fast-ai-v2-for-titanic-w-o-and-w-feature-eng", "kernel_id": "14577228"}, {"ref": "albeirog82/titanic-analysis", "kernel_id": "14762270"}, {"ref": "finlay/titanic-survival-predictions-beginner", "kernel_id": "14281886"}, {"ref": "itslisu/titanic-ensemble-learning", "kernel_id": "14261262"}, {"ref": "sohaelshafey/titanic-disaster-classification", "kernel_id": "14210573"}, {"ref": "diulhio/titanic-trilha-de-ia-venturus", "kernel_id": "14109563"}, {"ref": "aishwarya01/titanic-eda-and-logistic-regression", "kernel_id": "14746562"}, {"ref": "shams1/titanic1st", "kernel_id": "14353362"}, {"ref": "fethiye/knn-k-nearest-neighborhood-tutorial-0-8491", "kernel_id": "14409801"}, {"ref": "fethiye/decision-tree-tutorial-0-8435", "kernel_id": "14432206"}, {"ref": "soheilakhavan/10-different-ml-approach-for-titanic", "kernel_id": "14741279"}, {"ref": "cafalchio/simple-tabular-with-autogluon", "kernel_id": "14149162"}, {"ref": "nitinbhore3/titanic-machine-learning-from-disaster", "kernel_id": "14204208"}, {"ref": "brunods10/titanic", "kernel_id": "14251665"}, {"ref": "haydn56/titanic-my-first-kaggle-competition", "kernel_id": "14632160"}, {"ref": "jayprakashthakur/titanic-survival", "kernel_id": "14786283"}, {"ref": "seanfo/titanic-eda-and-simple-random-forest", "kernel_id": "14631481"}, {"ref": "cfemelo/titanic-survivors-prediction", "kernel_id": "14907194"}, {"ref": "siddheshshankar/survival-prediction-using-xgboost", "kernel_id": "14745363"}, {"ref": "mahadamer99/getting-started-with-titanic-mahad", "kernel_id": "14386165"}, {"ref": "sohamdighe14/assignment1", "kernel_id": "14423268"}, {"ref": "sanjay2017/survival-prediction-for-titanic-from-basics", "kernel_id": "14616244"}, {"ref": "sonukiran/titanic-luckiest-people-to-get-through", "kernel_id": "14362656"}, {"ref": "josemaria2/titanic-analysis-with-97-accuracy", "kernel_id": "14412001"}, {"ref": "keogh24/titanic-logistic-regression", "kernel_id": "14999366"}, {"ref": "hicham1984/decision-tree-model-xgbclassifier-svc-lr", "kernel_id": "14493973"}, {"ref": "pashupatigupta/hr-analytics-hyper-parameter-tuning-techniques", "kernel_id": "14262640"}, {"ref": "pashupatigupta/introduction-to-ensembling-techniques", "kernel_id": "14847196"}, {"ref": "shubham1706/titanic", "kernel_id": "14323587"}, {"ref": "saychakra/basic-analysis-and-eda", "kernel_id": "14599118"}, {"ref": "abdenourbenacer/titanic-python", "kernel_id": "14773552"}, {"ref": "huikang/lightgbm-example", "kernel_id": "14697630"}, {"ref": "sehan10/journey-to-ds", "kernel_id": "14106770"}, {"ref": "dwarika/python-the-data-scientist-s-weapon", "kernel_id": "14601650"}, {"ref": "legendsplay/titanic-let-s-compare-all-model-eda-ft", "kernel_id": "14475058"}, {"ref": "legendsplay/titanic-let-s-visualize-everything", "kernel_id": "14408530"}, {"ref": "nitsin/titanic-survival-challenge-batch7-160121", "kernel_id": "14265785"}, {"ref": "santoshd3/titanic-dataset-ml", "kernel_id": "14888753"}, {"ref": "vbmokin/fe-feature-importance-advanced-visualization", "kernel_id": "14414602"}, {"ref": "vbmokin/50-tips-data-science-tabular-data-for-beginner", "kernel_id": "14548108"}, {"ref": "chriswrobel/titanic-introduction-to-machine-learning", "kernel_id": "14170755"}, {"ref": "tom919/titanic", "kernel_id": "14748322"}, {"ref": "cbalona/notebookba5fcf1115", "kernel_id": "14228223"}, {"ref": "nicolas318/tuto-titanic", "kernel_id": "14209928"}, {"ref": "sarv683/titanicml-beginner", "kernel_id": "14386622"}, {"ref": "tungvs/test-pdp-on-titanic-data-set", "kernel_id": "14602185"}, {"ref": "anjalia8/titanicsurvivors", "kernel_id": "14651199"}, {"ref": "phani3344/titanic", "kernel_id": "14123238"}, {"ref": "lgybas/notebooke178009445", "kernel_id": "14544344"}, {"ref": "emackie/fork-of-titanic-eda-model", "kernel_id": "14406099"}, {"ref": "delgrossonick/notebookf6ed2d272d", "kernel_id": "14343741"}, {"ref": "delgrossonick/data-munging-titanic", "kernel_id": "14641313"}, {"ref": "delgrossonick/intro-to-r-dataframes", "kernel_id": "14610477"}, {"ref": "esparko/comparing-ml-models-with-the-titanic-dataset", "kernel_id": "14057178"}, {"ref": "meruyyyyert/visualisation-of-factors-influencing-survival-rate", "kernel_id": "14996999"}, {"ref": "herbison/duplicate-dataset-name-test", "kernel_id": "14938762"}, {"ref": "jonasschroeder/top-6-eda-and-models-by-a-kaggle-noob", "kernel_id": "14039531"}, {"ref": "cjywish/titanic-survival-rf-svm-xgboost", "kernel_id": "14808245"}, {"ref": "pravesh001/titanic-survivedd-prediction-logistic-regression", "kernel_id": "14940934"}, {"ref": "sonick/titanic-18", "kernel_id": "14396680"}, {"ref": "pattnaiksatyajit/exploratory-data-analysis", "kernel_id": "14322763"}, {"ref": "jurk06/titanic-linear-regression", "kernel_id": "14231635"}, {"ref": "peterpetrov826/titanic-with-fastai-and-catboost", "kernel_id": "14979747"}, {"ref": "shamsulalam2918/titanic", "kernel_id": "14904987"}, {"ref": "cmosguy/titanic-competition", "kernel_id": "14733597"}, {"ref": "ahmedmkhalifa/eda-to-prediction-dietanic", "kernel_id": "14115151"}, {"ref": "ahmedmkhalifa/data-analysis-and-feature-extraction-with-python", "kernel_id": "14173320"}, {"ref": "ahmedmkhalifa/thorough-eda-with-a-single-line-pandas-profiling", "kernel_id": "14173945"}, {"ref": "ahmedmkhalifa/guide-for-comprehensive-data-exploration-in-python", "kernel_id": "14174085"}, {"ref": "dogdriip/decisiontreeclassifier", "kernel_id": "14010291"}, {"ref": "khushupadhyay/getting-started-with-titanic", "kernel_id": "14942899"}, {"ref": "learningkeep/notebookf137cd47b2", "kernel_id": "14242321"}, {"ref": "kuryu920623/upura-kaggle-tutorial-01-first-submission", "kernel_id": "14986598"}, {"ref": "sdwerner/analytics-iii-titanic-prep", "kernel_id": "14516615"}, {"ref": "dhruvashist/top-14-hyperparamter-tuning-with-gridsearchcv", "kernel_id": "14036553"}, {"ref": "amoghrajesh1999/titanic-ml-dt", "kernel_id": "14641401"}, {"ref": "amoghrajesh1999/titanic-ml-nn", "kernel_id": "14643676"}, {"ref": "rodolfoviegas/getting-started-with-titanic", "kernel_id": "14949129"}, {"ref": "lukeraw/titanic-eda-and-prediction", "kernel_id": "14285642"}, {"ref": "birchkwok/titanicbk", "kernel_id": "14078066"}, {"ref": "gauravsrivastav2507/logistic-regression-model", "kernel_id": "14983868"}, {"ref": "ptr8190/first-kaggle", "kernel_id": "14284128"}, {"ref": "akmalmir/titanic-with-catboost", "kernel_id": "14866272"}, {"ref": "mragpavank/titanic-machine-learning-from-disaster", "kernel_id": "14729210"}, {"ref": "paytonfisher/first-machine-learning-notebook", "kernel_id": "14196588"}, {"ref": "vedanth777/would-you-survive-titanic", "kernel_id": "14795959"}, {"ref": "irshad256/titatinc", "kernel_id": "14223051"}, {"ref": "milanbhadja/visualization-to-prediction-from-scratch", "kernel_id": "14295108"}, {"ref": "urmi20/titanic-survival-prediction", "kernel_id": "14939086"}, {"ref": "oadey89/titanic-passenger-survival-prediction", "kernel_id": "14755445"}, {"ref": "tshnersy/30-days-ml-day-1", "kernel_id": "14142383"}, {"ref": "deepankar5/training-data-with-pipeline", "kernel_id": "14430040"}, {"ref": "deepankar5/data-visualisation-multi-algorithm-selection", "kernel_id": "14296522"}, {"ref": "kechokecho/python-kaggle-start-book-ch02-01", "kernel_id": "14198699"}, {"ref": "teo2mirce/titanic", "kernel_id": "14308367"}, {"ref": "fflopes/getting-started-titanic-dataset", "kernel_id": "14825837"}, {"ref": "davidsarm95/titanic-submission", "kernel_id": "14942579"}, {"ref": "ravindusachintha/rs-titanic", "kernel_id": "14992972"}, {"ref": "yusufchabuk/titanic-victims-ill-starred", "kernel_id": "14874345"}, {"ref": "benjaminfardell/titanic-simple-neural-network", "kernel_id": "14134516"}, {"ref": "ecastanares/emily-castanares-titantic", "kernel_id": "14273458"}, {"ref": "shaimaa1234/predict-survival-on-the-titanic-random-forest", "kernel_id": "14087374"}, {"ref": "divyasingh279/titanic-svm-prediction-analysis-80-accuracy", "kernel_id": "14334257"}, {"ref": "msolacerda/titanic-predictor", "kernel_id": "14872993"}, {"ref": "ananyaaa/titanic-with-boosting-classifier", "kernel_id": "14342256"}, {"ref": "jobinv12/titanic-survival-prediction", "kernel_id": "14391261"}, {"ref": "nathandsn/titanic-logistic-regression", "kernel_id": "14413781"}, {"ref": "sbariskoksal/sbariskoksal-titanic-eda", "kernel_id": "14273749"}, {"ref": "makkyemmanuel/example-to-submit", "kernel_id": "14459016"}, {"ref": "donglei99/titantic", "kernel_id": "14179515"}, {"ref": "lahreum/ar-tutorial-at-t-academy", "kernel_id": "14057685"}, {"ref": "anuragbagadi/titanic-disaster-competition", "kernel_id": "14768335"}, {"ref": "atulupadhay99/titanic-survival-prediction", "kernel_id": "14155675"}, {"ref": "whatevernevermind/titanic-analysis-and-prediction", "kernel_id": "14305855"}, {"ref": "mathematicmarble/firstkaggle", "kernel_id": "14816300"}, {"ref": "dylodylo/titanic-dataset-only-to-show-that-i-can", "kernel_id": "14882445"}, {"ref": "depankaj007/titanic-my-first-kaggle-competition", "kernel_id": "14731154"}, {"ref": "galtvam/getting-top-5-0-79904-without-leakages", "kernel_id": "14452292"}, {"ref": "ichlazamal/titanic-decision-tree", "kernel_id": "14817351"}, {"ref": "waqas90/getting-started-with-titanic", "kernel_id": "14818449"}, {"ref": "rpandy/titanic-wide-and-deep-nn", "kernel_id": "14309384"}, {"ref": "iremyalcin/rem17-26", "kernel_id": "14085063"}, {"ref": "marto24/titanic-predictions-80", "kernel_id": "14495011"}, {"ref": "tobiasmmmmmm/titanic-survival-prediction-notebook", "kernel_id": "14016485"}, {"ref": "blagoyh/deep-learning-on-small-datasets-78-9", "kernel_id": "14198732"}, {"ref": "birkan/titanic-eda", "kernel_id": "14668058"}, {"ref": "ahmadibrahimbusiness/getting-started-with-titanic", "kernel_id": "14635326"}, {"ref": "thanhnguyen2612/getting-started-with-titanic-randomforest", "kernel_id": "14768794"}, {"ref": "vineeth1999/automated-eda-for-titanic-dataset", "kernel_id": "14134910"}, {"ref": "gunner25/a-data-science-framework-foxford", "kernel_id": "14471218"}, {"ref": "vib019/notebookebcdf25b29", "kernel_id": "14204101"}, {"ref": "vionnlow/titanic-ml", "kernel_id": "14982430"}, {"ref": "mishrapankaj26/titaninc-eda-demo", "kernel_id": "14476212"}, {"ref": "pandaman007/tutorial-classifier-tree-ai-club-student-copy", "kernel_id": "14685064"}, {"ref": "faressayah/xgboost-vs-lightgbm-vs-catboost-vs-adaboost", "kernel_id": "14731699"}, {"ref": "prs9061/titanic-dataset-with-rf", "kernel_id": "14977767"}, {"ref": "sankrish/titanic-eda-model-compare-tuning", "kernel_id": "14428678"}, {"ref": "ndiaga/getting-started-with-titanic", "kernel_id": "14284162"}, {"ref": "devanshig/titanic-solution", "kernel_id": "14334154"}, {"ref": "termoniab/top-10-titanic-with-random-forest", "kernel_id": "14934182"}, {"ref": "kailichou/binary-classification-problem-titanic-survivors", "kernel_id": "14307647"}, {"ref": "technovore/titanic-surv-decision-tree", "kernel_id": "14759259"}, {"ref": "rafaelpleite/titanic-analysis-and-predict", "kernel_id": "14012293"}, {"ref": "blh001/titanic-classification-logistic-regression", "kernel_id": "14132796"}, {"ref": "andreshg/automatic-eda-libraries-comparisson", "kernel_id": "14537721"}, {"ref": "andreshg/titanic-dicaprio-s-safety-guide-h2o-automl", "kernel_id": "14311197"}, {"ref": "pasindu1997/titanic-machine-learning-for-disaster-eda-ml", "kernel_id": "14149126"}, {"ref": "aboutakashsah/my-first-kaggle", "kernel_id": "14017112"}, {"ref": "jganjga/getting-started-with-titanic-challenge", "kernel_id": "14804040"}, {"ref": "youssefalsoufi/tuning-hyper-parameters-titanic-survived-label", "kernel_id": "14215580"}, {"ref": "youssefalsoufi/titanic-gender-label", "kernel_id": "14237113"}, {"ref": "ssuhas76/titanic-getting-started-0-72488", "kernel_id": "14090761"}, {"ref": "garimadhanania/titanic-stacking", "kernel_id": "14390600"}, {"ref": "lourenswalters/i-titanic-baseline-models-0-78", "kernel_id": "14610252"}, {"ref": "bofangli/dealing-with-missing-values-p2-age-imputation", "kernel_id": "14225641"}, {"ref": "v0xd31/titanic-with-xgboost", "kernel_id": "14737854"}, {"ref": "tanujb/titanic-test-1", "kernel_id": "14648705"}, {"ref": "maxtnt/notebook56d12237da", "kernel_id": "14560645"}, {"ref": "bilaltahir99/auto-model-training-and-evaluation-rsecv-titanic", "kernel_id": "14767746"}, {"ref": "afafathar3007/titanic-eda-xgbclassifier-80", "kernel_id": "14190164"}, {"ref": "luthfidhani/titanic-sklearn-classification", "kernel_id": "14490668"}, {"ref": "mo7mmedcs/titanic-survival-prediction", "kernel_id": "14277501"}, {"ref": "azazrashid/titanic-survival-notebook", "kernel_id": "14861262"}, {"ref": "daemonspade/titanic-prediction-2nd-attempt", "kernel_id": "14386226"}, {"ref": "ajay2309/notebook4831496b34", "kernel_id": "14523815"}, {"ref": "arko007/titanic-logistic-regression", "kernel_id": "14714650"}, {"ref": "dkumar12/titanic-using-random-forest", "kernel_id": "14116304"}, {"ref": "dkumar12/titanic-using-svc", "kernel_id": "14119682"}, {"ref": "dkumar12/titanic-using-knn", "kernel_id": "14119657"}, {"ref": "dkumar12/titanic-using-xgboost", "kernel_id": "14123777"}, {"ref": "dkumar12/titanic-using-only-logistic-regression", "kernel_id": "14110105"}, {"ref": "anshumakkar/titanic-survival-prediction", "kernel_id": "14183326"}, {"ref": "vnderson/titanic-survive-predictions", "kernel_id": "14931387"}, {"ref": "sungk95/titanice-competition", "kernel_id": "14880363"}, {"ref": "mysha1rysh/titanic-competition", "kernel_id": "14131271"}, {"ref": "aryan27/titanic-machine-learning-from-disaster", "kernel_id": "14171607"}, {"ref": "malavika19mds/titanic-dataset", "kernel_id": "14418549"}, {"ref": "imamverdiyev25/titanic-solution-feb-2021-for-beginners", "kernel_id": "14850908"}, {"ref": "mishraay/titanic-dataset-prediction-easily-understandable", "kernel_id": "14964182"}, {"ref": "ani24794/titanic-complete-machine-learning-solution", "kernel_id": "14089630"}, {"ref": "jmundi92/titanic-notebook1", "kernel_id": "14560605"}, {"ref": "whoischelc/titanic-machine-learning-project", "kernel_id": "14634213"}, {"ref": "windsuzu/sklearn-eda-lazypredict-feat-engineering-ensemble", "kernel_id": "14515011"}, {"ref": "mayurnawal/titanic-analysis-and-classification", "kernel_id": "14259485"}, {"ref": "rashingh/initial-submission-titanic", "kernel_id": "14128124"}, {"ref": "zohaib123/perform-eda-beginner-s-guide-titanic", "kernel_id": "14144394"}, {"ref": "zohaib123/eda-to-prediction-dietanic", "kernel_id": "14790548"}, {"ref": "shoaibrkhan/titanic-survival-prediction", "kernel_id": "14576458"}, {"ref": "arnrob/titanic-predictions", "kernel_id": "14693996"}, {"ref": "ritesh2000/ultimate-titanic-guide-for-beginners", "kernel_id": "14703339"}, {"ref": "chumajin/pytorch-neural-network-starter-detail", "kernel_id": "14509209"}, {"ref": "swapnilguptaseth/titanic", "kernel_id": "14082971"}, {"ref": "yash88/titanic-tutorial", "kernel_id": "14298074"}, {"ref": "haniehghaffari/lda-qda-titanic", "kernel_id": "14126643"}, {"ref": "rayed9o9/notebookd1b163325b", "kernel_id": "14455909"}, {"ref": "patvarun04/ti-ta-nic", "kernel_id": "14131184"}, {"ref": "abdul5/titanic-dataset-competition", "kernel_id": "14809236"}, {"ref": "mahmoudyasser/getting-started-with-titanic", "kernel_id": "14272371"}, {"ref": "martinhvizdak/titanic-adaboostclassifier", "kernel_id": "14188608"}, {"ref": "sourabhmittal/titanic-learning-1", "kernel_id": "14595257"}, {"ref": "firebee/titanic-prediction", "kernel_id": "14284433"}, {"ref": "frecklebars/ml-flow-based-visual-coding-using-ryven", "kernel_id": "14225396"}, {"ref": "khanrahim/titanic-top-5-easiest-approach", "kernel_id": "14790729"}, {"ref": "prasathkathiresan/titanic-prediction", "kernel_id": "14282319"}, {"ref": "liuslience/titanic-machine-learning", "kernel_id": "14408929"}, {"ref": "anwarulazim98/titanic-2", "kernel_id": "14668252"}, {"ref": "arthurcerveira/getting-started-with-titanic", "kernel_id": "14634693"}, {"ref": "junghoonkim36/automl-tutorial-titanic-with-ray-tune", "kernel_id": "14255995"}, {"ref": "subhomajumder/titanic-nb-rf-voting-logistic-svc-nn-xgb", "kernel_id": "14729647"}, {"ref": "subhomajumder/titanic-neural-net", "kernel_id": "14800622"}, {"ref": "arpikr/logistic-regression", "kernel_id": "14556104"}, {"ref": "webermeng/titantic", "kernel_id": "14245867"}, {"ref": "jithinpaul89/jps-notebook", "kernel_id": "14000155"}, {"ref": "connorpuhala/titanic-neural-net-77-5-accurate", "kernel_id": "14357840"}, {"ref": "nikhilmishra21/titanic-dnn", "kernel_id": "14537116"}, {"ref": "ashishnandi/titanic-classification-problem", "kernel_id": "14524600"}, {"ref": "yasserhessein/titanic-survival-with-6-algorithms", "kernel_id": "14566139"}, {"ref": "linuxiest123/titanic-data", "kernel_id": "14387104"}, {"ref": "christinezh0u/titanic-data-prediction", "kernel_id": "14133000"}, {"ref": "harshit707/complete-numpy-for-data-science-with-example", "kernel_id": "14399635"}, {"ref": "kalilurrahman/titanic-dataset-analysis-of-a-disaster", "kernel_id": "14087339"}, {"ref": "abasiama/titanic-survival-prediction", "kernel_id": "14588334"}, {"ref": "njmmaryem/titanic-disaster-predictions", "kernel_id": "14845084"}, {"ref": "danielsafiski/titanicml", "kernel_id": "14122846"}, {"ref": "razvanmilicin/titanic", "kernel_id": "14456098"}, {"ref": "adityakhamparia/survival-prediction-for-titanic-from-basics", "kernel_id": "14745193"}, {"ref": "operationalamplifier/titanic-decision-tree", "kernel_id": "14790103"}, {"ref": "deshbandhumishra/deshbandhu-notebook", "kernel_id": "14861601"}, {"ref": "menseki/titanic", "kernel_id": "14823851"}, {"ref": "jainendraprakash/titanic", "kernel_id": "14544354"}, {"ref": "soumyajyotikarmakar/titanic-dataset-2021", "kernel_id": "14265802"}, {"ref": "itzikefraim/fork-of-notebookb0add1626e", "kernel_id": "14784396"}, {"ref": "itzikefraim/finalhw1", "kernel_id": "14503042"}, {"ref": "marselaaliaj/titanic-v01", "kernel_id": "14890269"}, {"ref": "nitinkrsingh/competition-titanic", "kernel_id": "14106590"}, {"ref": "indhusree/titanic", "kernel_id": "14350155"}, {"ref": "senagksucansabuncu/prediction-survival-on-the-titanic", "kernel_id": "14150369"}, {"ref": "mehmetakifciftci/eda-for-titanic-one-more-method", "kernel_id": "14547288"}, {"ref": "suddhasatwabhaumik/titanic-data-analysis", "kernel_id": "14225809"}, {"ref": "kylecloud/titanic-top4percent", "kernel_id": "14659934"}, {"ref": "aytackolukisa/dataiteam-titanic-eda", "kernel_id": "14285830"}, {"ref": "denniswaites/titanic-eda", "kernel_id": "14787411"}, {"ref": "ayushmansc/titanic-svm", "kernel_id": "14047694"}, {"ref": "puritynyagweth/titanic", "kernel_id": "14641165"}, {"ref": "ritikpnayak/titanic-advanced-notebook", "kernel_id": "14977225"}, {"ref": "soumyajeettalukdar/titanic", "kernel_id": "14457102"}, {"ref": "pratyayeechatterjee/titanic-ml", "kernel_id": "14457116"}, {"ref": "samuelsferreira/desafio-do-titanic-passo-a-passo-parte-1-2", "kernel_id": "14354664"}, {"ref": "samuelsferreira/desafio-do-titanic-passo-a-passo-parte-2-2", "kernel_id": "14884946"}, {"ref": "edwardnyameri/getting-started-with-titanic", "kernel_id": "14726159"}, {"ref": "e00kapp/titanic-xgboost-with-r-0-78708", "kernel_id": "14337916"}, {"ref": "wongwj/titanic-decision-tree", "kernel_id": "14984913"}, {"ref": "williamfallas/titanic-randomforest", "kernel_id": "14288505"}, {"ref": "soheilsolhjoo/titanic-comparing-different-classifiers", "kernel_id": "14755825"}, {"ref": "alejandrohuguetperez/titanic-fully-connected", "kernel_id": "14344704"}, {"ref": "coder212hal2020/titanic-0-7918", "kernel_id": "14269685"}, {"ref": "mohdbilalhaider/titanic", "kernel_id": "14250965"}, {"ref": "remeser/titanic-eda", "kernel_id": "14388278"}, {"ref": "egoluback/titanic-catboost-with-feature-selection-gridsearch", "kernel_id": "14120056"}, {"ref": "adembourenane/tensorflow1-12-svhn", "kernel_id": "14715043"}, {"ref": "kirllsafronov/titanic", "kernel_id": "14301160"}, {"ref": "yosrbali/titanic", "kernel_id": "14349124"}, {"ref": "chromerai/improving-my-model-2", "kernel_id": "14254797"}, {"ref": "mohamedtaharfortas/tahar-titanic-first-notebook", "kernel_id": "14213035"}, {"ref": "muniryadi/titanic-beginner-level", "kernel_id": "14027397"}, {"ref": "alirezakhodaparast/titanic-eda-getting-started", "kernel_id": "14147412"}, {"ref": "alirezakhodaparast/titanic-train-for-beginner-s-guid", "kernel_id": "14182062"}, {"ref": "ehabibrahim758/titanic-classification", "kernel_id": "14041117"}, {"ref": "blackhurt/notebook3829555adb", "kernel_id": "14149603"}, {"ref": "pasankavinda/randomfor-n-es-100-ma-dep-5-ran-sta-1-acc-77-99", "kernel_id": "14857200"}, {"ref": "swamita/building-ml-models-for-the-titanic-dataset", "kernel_id": "14637960"}, {"ref": "shivanirana63/feature-selection-encoding-titanic-survival", "kernel_id": "14513179"}, {"ref": "tomosedwards/titanic-survival-prediction-first-submission", "kernel_id": "14285530"}, {"ref": "amankumardwivedi/notebook993725e3a4", "kernel_id": "14531410"}, {"ref": "shivlalsharma/eda-on-titanic", "kernel_id": "14747708"}, {"ref": "bibimyeonmaster/titanic-prediction", "kernel_id": "14280118"}, {"ref": "sunaysawant/titanic-2", "kernel_id": "14581083"}, {"ref": "sunaysawant/titanic-1", "kernel_id": "14578084"}, {"ref": "leandrofusco88/titanic-dataset", "kernel_id": "14314039"}, {"ref": "anchal1998/analysis-titanic", "kernel_id": "14816095"}, {"ref": "abrahamanderson/random-forests-for-titanic-data-competition", "kernel_id": "14890961"}, {"ref": "sushmaguntupalli/titanic-survival-prediction", "kernel_id": "14490341"}, {"ref": "engabdulaziz/survivors-prediction", "kernel_id": "14265790"}, {"ref": "bhartiprasad17/titanic-survival-model", "kernel_id": "14421806"}, {"ref": "rushikeshlavate/check-how-to-perform-onehot-encoding-technique", "kernel_id": "14102377"}, {"ref": "aditya2803/passengers-survival-challenge", "kernel_id": "14001285"}, {"ref": "raghavbakshi/titanic-predictions-with-random-forest", "kernel_id": "14285325"}, {"ref": "mukeshkumarofficials/data-visualizations-and-analysis", "kernel_id": "14009093"}, {"ref": "soum101/getting-started-with-titanic", "kernel_id": "14064350"}, {"ref": "phoenix23/titanic-eda-with-model-comparison", "kernel_id": "14029009"}, {"ref": "lakshita2002/sailing-with-titanic", "kernel_id": "14311009"}, {"ref": "aytumamkolu/titanic-solution", "kernel_id": "14143711"}, {"ref": "prakashr7d/titanic-data-set", "kernel_id": "14447155"}, {"ref": "muhammeddalkran/data-processing-model-selection-on-titanic-data", "kernel_id": "14873259"}, {"ref": "vncsna/learning-pycaret", "kernel_id": "14193058"}, {"ref": "annabarkovskaya/titanik-data", "kernel_id": "14111404"}, {"ref": "zlemecemkaynar/titanic-eda-oek", "kernel_id": "14146146"}, {"ref": "onkardhavan/titanic", "kernel_id": "14784211"}, {"ref": "aymericml/titanic-essais", "kernel_id": "14432867"}, {"ref": "aymericml/titanic-last", "kernel_id": "14450210"}, {"ref": "nkitgupta/who-will-leave-a-job", "kernel_id": "14310012"}, {"ref": "vfamim/titanic-predicting-who-survive", "kernel_id": "14696509"}, {"ref": "caspera/vuml-titanic-project", "kernel_id": "14824500"}, {"ref": "marbatlle/beginner-classification-first-competition", "kernel_id": "14367590"}, {"ref": "santhosh1reddy/getting-started-with-titanic-by-using-python", "kernel_id": "14477310"}, {"ref": "denisziborov/titanic-stepik-introduction-to-data-science-method", "kernel_id": "14143502"}, {"ref": "arunvaratharajan/titanic-kaggle", "kernel_id": "14285691"}, {"ref": "balaramk/titanic-survival-a-beginner-s-approach", "kernel_id": "14555662"}, {"ref": "aymanmaboghonim/titanic-first-trial", "kernel_id": "14018486"}, {"ref": "dataarchitsharma/how-to-be-in-expert-in-decision-tree-algorithm", "kernel_id": "14842360"}, {"ref": "krishnag98/titanic-challenge-train-acc-93-valacc-83-6-clfs", "kernel_id": "14754007"}, {"ref": "midiazm/getting-started-with-titanic", "kernel_id": "14274625"}, {"ref": "ajay1881/titanic-disaster-solution", "kernel_id": "14724816"}, {"ref": "manoranjankrthakur/titanic-data-set", "kernel_id": "14160344"}, {"ref": "mwilla/titanic-version1", "kernel_id": "14984377"}, {"ref": "akashprajapati/decision-tree-using-gini-impurity-and-entropy", "kernel_id": "14362291"}, {"ref": "szpawlowski/titanic-svm-with-python", "kernel_id": "14235269"}, {"ref": "vismayshah/titanic-very-simple-notebook-score-0-79186", "kernel_id": "14310085"}, {"ref": "byeongheonkang/data-processing-xgboost-for-the-titanic", "kernel_id": "14704184"}, {"ref": "muhardianabasandi/titanic-data-by-kitto", "kernel_id": "14080560"}, {"ref": "mcahitbayar/titanic-predicter", "kernel_id": "14866021"}, {"ref": "ritamaria/titanic", "kernel_id": "14287315"}, {"ref": "devkumar247/titanic-dataset", "kernel_id": "14839386"}, {"ref": "prashansdixit/titanic-dataset-model-lb-78", "kernel_id": "14845177"}, {"ref": "sagarsinha/feature-engineering-1", "kernel_id": "14421855"}, {"ref": "emanuelepanizio/pytanicnb", "kernel_id": "14333827"}, {"ref": "harshavarshney/notebookcb0497dca0", "kernel_id": "14161529"}, {"ref": "topdownlee/titanic-tutorial", "kernel_id": "14296713"}, {"ref": "skanderhaddad/titanic-decision-tree-random-forest-xgboost", "kernel_id": "14233930"}, {"ref": "skanderhaddad/titanic-eda-score-0-81339", "kernel_id": "14507313"}, {"ref": "modassirafzal/titanic-eda-ensemble", "kernel_id": "14604133"}, {"ref": "sanikad/decision-tree-with-hyper-parameter-tuning", "kernel_id": "14593543"}, {"ref": "sanikad/random-forest-with-hyper-parameter-tuning", "kernel_id": "14594885"}, {"ref": "sanikad/titanic-eda-logistic-regression", "kernel_id": "14245466"}, {"ref": "dhananjaikumarpandey/a-beginner-s-approach", "kernel_id": "14111127"}, {"ref": "rajeev064/titanic-survival-prediction-using-ann", "kernel_id": "14553831"}, {"ref": "devchauhan1/titanic-problem", "kernel_id": "14556854"}, {"ref": "haneeshashajahan/titanic-survival-prediction", "kernel_id": "14270100"}, {"ref": "pedro0307/titanic-my-first-analysis", "kernel_id": "14636279"}, {"ref": "vahidehdashti/preprocessing-titanic", "kernel_id": "14541914"}, {"ref": "vahidehdashti/titanic-prediction-model-eda", "kernel_id": "14213148"}, {"ref": "vahidehdashti/loan-prediction-case-study-dt-rf", "kernel_id": "14343989"}, {"ref": "vahidehdashti/titanic-simple-code-beginners", "kernel_id": "14170831"}, {"ref": "vahidehdashti/let-s-go-first-step-guideline", "kernel_id": "14172699"}, {"ref": "arcticai/top-3-titanic-dataset", "kernel_id": "14623301"}, {"ref": "juansirai/titanic-an-statiscal-approach", "kernel_id": "14700274"}, {"ref": "dp5995/titanic", "kernel_id": "14627641"}, {"ref": "vijayakishoredusi/test-notebook-5", "kernel_id": "14389853"}, {"ref": "naralanaveenreddy/titanic-prediction2", "kernel_id": "14008729"}, {"ref": "proberto3122/notebookcb90ff3e62", "kernel_id": "14912761"}, {"ref": "umerkk12/titanic-dataset-eda-0-78", "kernel_id": "14229640"}, {"ref": "koraycalisir/dataiteam-titanic-eda", "kernel_id": "14405542"}, {"ref": "shweta0910/begginer-titanic-kaggle", "kernel_id": "14622091"}, {"ref": "shweta0910/is-it-titanic-or-dietanic-top-5", "kernel_id": "14602590"}, {"ref": "naderabdelghany/titanic-machine-learning-from-disaster", "kernel_id": "14442700"}, {"ref": "caprubick/notebooke678d41317", "kernel_id": "14450942"}, {"ref": "artempozdniakov/titanic-who-is-going-to-survive", "kernel_id": "14536815"}, {"ref": "singularidadsalazar/titanic-competition-random-forest", "kernel_id": "14360297"}, {"ref": "darksool/tensorflow1-12-svhn", "kernel_id": "14712920"}, {"ref": "huzeyfedegirmenci/predictception", "kernel_id": "14467496"}, {"ref": "zayanmakar/use-multiple-algorithm-to-get-survived", "kernel_id": "14465788"}, {"ref": "zayanmakar/voting-classifier-for-prediction", "kernel_id": "14617854"}, {"ref": "cesargoyzueta/titanic-rf-logit-rt-nb-knn-svm-roc-85", "kernel_id": "14236519"}, {"ref": "aralmata/titanic-competition", "kernel_id": "14806452"}, {"ref": "aralmata/getting-started-with-titanic", "kernel_id": "14072763"}, {"ref": "kaggleganten/getting-started-with-titanic", "kernel_id": "14139420"}, {"ref": "atouhoudaifa/titanic-machine-learning", "kernel_id": "14831338"}, {"ref": "taegukang0305/titanic-test3", "kernel_id": "14968891"}, {"ref": "seongsoohyeon/titanic-eda", "kernel_id": "14750464"}, {"ref": "luismiguelcalvochacn/notebookb0a01d2461", "kernel_id": "14358480"}, {"ref": "ramlalnaik/titanic-disaster-random-forest-decision-trees", "kernel_id": "14391184"}, {"ref": "bartoszpieniak/titanic", "kernel_id": "14107147"}, {"ref": "aliguzmanadan/titanic-logregression-svm-dectree-randomforest", "kernel_id": "14650955"}, {"ref": "sriramesv/titanic-survival-prediction-using-random-forest", "kernel_id": "14618370"}, {"ref": "mdsumonhossain/titanic-accuracy-76", "kernel_id": "14698714"}, {"ref": "noureddynmaousse/titanic-data-science-solutions-beginners", "kernel_id": "14262317"}, {"ref": "sidrahabdullah/titanic-competition-revised", "kernel_id": "14747868"}, {"ref": "aakashverma8900/exploring-the-voyage-titanic-with-adaboost", "kernel_id": "14771527"}, {"ref": "arindamg/titanic-xgboost-lightgbm", "kernel_id": "14206631"}, {"ref": "rajkumarl/jane-day-242-feature-generation-and-selection", "kernel_id": "14704815"}, {"ref": "mruanova/titanic-sweetviz", "kernel_id": "14697977"}, {"ref": "tejaswinikamath/titanic-logistic-regression-learning", "kernel_id": "14172579"}, {"ref": "abhivadali35/titanic-beginner-s-ml-w-logistic-regression", "kernel_id": "14113286"}, {"ref": "semihuslu/titanic-simple", "kernel_id": "14396801"}, {"ref": "riqulaziz/titanic", "kernel_id": "14946767"}, {"ref": "lazaro97/biological-invasion-a-starter-analysis", "kernel_id": "14975685"}, {"ref": "lazaro97/logistic-regression-with-r", "kernel_id": "14459937"}, {"ref": "yejining99/titanic-decision-tree-random-forest-logistic", "kernel_id": "14242857"}, {"ref": "yejining99/decision-tree-with-scikit-learning", "kernel_id": "14241517"}, {"ref": "aishqsamal/prediction-using-simple-logistic-regression", "kernel_id": "14671499"}, {"ref": "bornnoob/titanic", "kernel_id": "14200083"}, {"ref": "sudipsamanta35/titanic-survived-prediction", "kernel_id": "14541559"}, {"ref": "girayhakan/titanic-my-first-competition", "kernel_id": "14032493"}, {"ref": "kshitijsinha05/titanic-simple", "kernel_id": "14665597"}, {"ref": "bhavnagupta123/titanic-competition", "kernel_id": "14290741"}, {"ref": "akarshu121/titanic-eda-with-logistic-regression", "kernel_id": "14320910"}, {"ref": "kartiksinghchuphal/titanic-using-logistic-regression", "kernel_id": "14921153"}, {"ref": "topptheeralerttham/titanic-beginner-s-simple-guide-w-random-forest", "kernel_id": "14169066"}, {"ref": "vatsalkgandhi/eda-and-data-pre-processing", "kernel_id": "14982667"}, {"ref": "ankit4371/titanic-survive-model", "kernel_id": "14142946"}, {"ref": "siva2020s/titanic-new", "kernel_id": "14391608"}, {"ref": "sarakfourikoskinen/predicted-age-titanic", "kernel_id": "14268469"}, {"ref": "jedbell/titanic", "kernel_id": "14039135"}, {"ref": "goldmin9/titanium", "kernel_id": "14118328"}, {"ref": "tugbabekci/tb-titanic-eda", "kernel_id": "14118534"}, {"ref": "shreyasur29/titanic-survival-challenge", "kernel_id": "14265786"}, {"ref": "muzeyyenyilgin/titanic-data-analysis", "kernel_id": "14035999"}, {"ref": "alexmaszanski/titanic-simple-eda-for-beginners", "kernel_id": "14686241"}, {"ref": "pranavkotgire/titanic-competition", "kernel_id": "14382103"}, {"ref": "khajanjoshi/gradient-boosting-decision-trees-data-imputation", "kernel_id": "14835859"}, {"ref": "linaisl/jusina-titanic", "kernel_id": "14236130"}, {"ref": "napster01/ml-titanic-disaster-cart-algorithm", "kernel_id": "14103821"}, {"ref": "philippemeyer68/notebook41f054b1f7", "kernel_id": "14784383"}, {"ref": "felipesobraljr/titanic", "kernel_id": "14656494"}, {"ref": "viridianasnchez/notebookea1b94cb80", "kernel_id": "14437047"}, {"ref": "iamyajat/titanic-survival-classification-xgboost", "kernel_id": "14745668"}, {"ref": "yusufyucel/yusufyucel-titanic-eda", "kernel_id": "14961615"}, {"ref": "nilaykhare/eda-and-model-training-titanic-machine-learning", "kernel_id": "14170173"}, {"ref": "raulmilla/practica-2-milla-juan", "kernel_id": "14064871"}, {"ref": "abn000/md-grupor-practica2-ord", "kernel_id": "14226173"}, {"ref": "abn000/md-grupor-practica1-ord", "kernel_id": "14224553"}, {"ref": "xinyuanzuo/titanic-pytorch", "kernel_id": "14097212"}, {"ref": "daniloyukihara/rand-forest-class-with-gridsearchcv-titanic-ml", "kernel_id": "14739935"}, {"ref": "awwalmalhi/titanic-complete-guide-to-top-3", "kernel_id": "14319955"}, {"ref": "awwalmalhi/titanic-eda-and-feature-engineering", "kernel_id": "14341846"}, {"ref": "awwalmalhi/comprehensive-beginners-guide-to-top-6", "kernel_id": "14096495"}, {"ref": "silvankirchhofer/titanic-data-set", "kernel_id": "14312440"}, {"ref": "fynnlinusklling/titanic-doing-it-right-pipeline-and-evaluation", "kernel_id": "14265016"}, {"ref": "eneskacan/titanic-machine-learning-from-disaster", "kernel_id": "14397798"}, {"ref": "kevaljoshi95/titanic-machine-learning-prediction", "kernel_id": "14934288"}, {"ref": "yiweijian/simple-models-to-top", "kernel_id": "14531297"}, {"ref": "virjakawade/titanic", "kernel_id": "14033518"}, {"ref": "michaelnsoliveira/titanic-learning", "kernel_id": "14964406"}, {"ref": "juanfelipe19/beginner-and-understandable", "kernel_id": "14291278"}, {"ref": "winternguyen/titanic-beginners", "kernel_id": "14701113"}, {"ref": "vickz53/titanicdataset", "kernel_id": "14718337"}, {"ref": "karolkotynski/titanic-ann-model-predict", "kernel_id": "14274504"}, {"ref": "princessa/titaniceda-models-ann-cat-forest", "kernel_id": "14582170"}, {"ref": "dsmeena/competition-titanic-random-forest-classifier", "kernel_id": "14403410"}, {"ref": "adamml/titanic-to-beginner", "kernel_id": "14602777"}, {"ref": "dhanushsuryavamshi/titanicsurvival", "kernel_id": "14560487"}, {"ref": "joolousada/titanic-predictions", "kernel_id": "14410390"}, {"ref": "nainye/notebookc6e702ec37", "kernel_id": "14055799"}, {"ref": "misab555/titanic-prediction", "kernel_id": "14181706"}, {"ref": "muhammadismail99/titanic-survived", "kernel_id": "14414453"}, {"ref": "qramkrishna/titanic-dl-model", "kernel_id": "14006991"}, {"ref": "shivang303/titanic-survivors", "kernel_id": "14325175"}, {"ref": "subhamsagarpaira/beginners-logistic-regression-titanic", "kernel_id": "14135882"}, {"ref": "brkstat/getting-started-with-titanic", "kernel_id": "14247697"}, {"ref": "anirudhchandnani/labelencode-all-object-dtypes-with-1-for-loop", "kernel_id": "14709628"}, {"ref": "hcoding6/titanic-predictions-notebook", "kernel_id": "14971308"}, {"ref": "omarhammemi/start-modeling", "kernel_id": "14271287"}, {"ref": "dataengel/titanic-machine-learning-from-disaster", "kernel_id": "14895475"}, {"ref": "nachoisarn/titanic-logistic-nb", "kernel_id": "14970401"}, {"ref": "arulkirsnaragavan/titanic-machine-learning-prediction", "kernel_id": "14926078"}, {"ref": "eydaaybar/titanic-dataset-eda", "kernel_id": "14906397"}, {"ref": "hubertwojewoda/top-2-titanic-with-sklearn-and-fastai", "kernel_id": "14745985"}, {"ref": "nishantdhingra/titanic-eda-feature-engineering-and-predictions", "kernel_id": "14468025"}, {"ref": "hasnaakbarali/titanic-survival-prediction", "kernel_id": "14155278"}, {"ref": "abdulwasae/notebookd54bc08cfc", "kernel_id": "14064838"}, {"ref": "pinkpinkpig/project-titanic", "kernel_id": "14976878"}, {"ref": "prajaktawaikar/titanic-survival-prediction", "kernel_id": "14940991"}, {"ref": "kreddy135/titanic-machine-learning", "kernel_id": "14679756"}, {"ref": "deiancheveresan/titanic-dataset", "kernel_id": "14230326"}, {"ref": "nikitakarlushin/0-78708-score-stacking-of-xgboost-and-4-models", "kernel_id": "14841089"}, {"ref": "ahmadsaeed1007/titanic-survival-prediction-catboost", "kernel_id": "14882986"}, {"ref": "jayanthappalla/titanic-ml-notebook", "kernel_id": "14134096"}, {"ref": "rajeshmore1/titanic-survival-prediction", "kernel_id": "14242056"}, {"ref": "sanskrutighadipatil/titanic-logistic-regression", "kernel_id": "14126650"}, {"ref": "masahikofujita/kaggle-titanic-makkun", "kernel_id": "14765295"}, {"ref": "devhjjoo/titanic", "kernel_id": "14079362"}, {"ref": "devhjjoo/titanic-for-begginers", "kernel_id": "14080704"}, {"ref": "botirrakhimov/titanic-survival-data-analysis-and-prediction", "kernel_id": "14237985"}, {"ref": "asthajain01/titanic-dataset", "kernel_id": "14191622"}, {"ref": "jlandion/noob-s-regression", "kernel_id": "14730648"}, {"ref": "jlandion/confusion-matrix", "kernel_id": "14735903"}, {"ref": "jlandion/luckypassenger", "kernel_id": "14939844"}, {"ref": "folarteca/begginer-titanic-several-models", "kernel_id": "14250350"}, {"ref": "hemantmahawer5/titanicnew", "kernel_id": "14602115"}, {"ref": "kaorumurata/titanic-lgbm", "kernel_id": "14645302"}, {"ref": "alexandrumarcau/ml-project-titanic", "kernel_id": "14477874"}, {"ref": "tanajimestri/titanic-survival-prediction-ml", "kernel_id": "14512297"}, {"ref": "sarthak218/titanic-complete-guide-to-top-3", "kernel_id": "14331703"}, {"ref": "sarthak218/titanic-analysis-and-predict", "kernel_id": "14332001"}, {"ref": "khandelwalrashi/titanic-ml", "kernel_id": "14955855"}, {"ref": "alansansiev/tip-of-the-iceberg-eda-prediction-0-808-9524bc", "kernel_id": "14519232"}, {"ref": "narayanyadav/titanic-prediction-survival", "kernel_id": "14911124"}, {"ref": "thebli/titanic-beginner-s-logistic-regression-75-8", "kernel_id": "14486601"}, {"ref": "abdelrahmanmahana/titanic-eda", "kernel_id": "14609007"}, {"ref": "ankithan/titanic-disaster", "kernel_id": "14994032"}, {"ref": "yasht13007/titanic-python", "kernel_id": "14369522"}, {"ref": "xxdatapiratexx/ultimate-titanic-guide-top-17", "kernel_id": "14885282"}, {"ref": "maryamsharifi/starting-with-titanic", "kernel_id": "14028631"}, {"ref": "shivashankar369/titanic", "kernel_id": "14117377"}, {"ref": "ilyamatveichuk/titanic-competition", "kernel_id": "14332228"}, {"ref": "akanksha496/titanic-challenge", "kernel_id": "14050042"}, {"ref": "yyuan94/titanic-with-boosted-algorithm", "kernel_id": "14301061"}, {"ref": "lucas28torres/intersecando-gr-facas", "kernel_id": "14687311"}, {"ref": "ruchakardile/titanic", "kernel_id": "14075568"}, {"ref": "mariamkotob/titanic-eda-getting-started", "kernel_id": "14004344"}, {"ref": "architarora18/titanic-competition", "kernel_id": "14463601"}, {"ref": "hrishikeshdeshmukh06/notebook4c4bc18c36", "kernel_id": "14000756"}, {"ref": "ewaderu/titanic-competition", "kernel_id": "14621036"}, {"ref": "carloszonetgmailcom/top9-tatanic", "kernel_id": "14354943"}, {"ref": "carloszonetgmailcom/first-competition", "kernel_id": "14064859"}, {"ref": "carloszonetgmailcom/r-top-11-ml", "kernel_id": "14135386"}, {"ref": "chienhsianghung/titanic-top-11-starter-i-models-comparing", "kernel_id": "14257711"}, {"ref": "kritikajainjain/titanic-solution", "kernel_id": "14014049"}, {"ref": "xholisilemantshongo/titanic-modeling-of-survivors", "kernel_id": "14685557"}, {"ref": "jagritej/titanic", "kernel_id": "14420980"}, {"ref": "umutakta/titanic", "kernel_id": "14299671"}, {"ref": "geekyeng/titanic", "kernel_id": "14111464"}, {"ref": "onstantinath/titanic-solution-eda-and-machine-learning", "kernel_id": "14428947"}, {"ref": "barselet/simple-titanic-eda", "kernel_id": "14425138"}, {"ref": "davidumaa/logistic-regression-titanic-survival", "kernel_id": "14177742"}, {"ref": "ankitkhedar/beginning-with-titanic-kaggle-competition", "kernel_id": "14344676"}, {"ref": "maximilianzirps/titanic", "kernel_id": "14131382"}, {"ref": "artemmikhailov/titanic-rus-votingclassifier-gridsearchcv", "kernel_id": "14119607"}, {"ref": "krishna2196/titanic", "kernel_id": "14100672"}, {"ref": "youcefbenghorbal/notebookbc94f8a6f2", "kernel_id": "14395164"}, {"ref": "alicanakgun/alican-akgun-titanic-eda", "kernel_id": "14499601"}, {"ref": "ashishsaini0194/titanic", "kernel_id": "14879870"}, {"ref": "leeminhwan/titanic", "kernel_id": "14348219"}, {"ref": "gurharkhalsa/beginner-random-forest-fastai-neural-net-top-11", "kernel_id": "14093610"}, {"ref": "mohammadrezasalemi/beginner-s-guide-titanic", "kernel_id": "14116793"}, {"ref": "riyahedaoo/top15-usingr-titanic", "kernel_id": "14640628"}, {"ref": "riyahedaoo/top17-usingpython-titanic", "kernel_id": "14928891"}, {"ref": "hughqlee/kdt-group-1", "kernel_id": "14703978"}, {"ref": "korjmorj/titanic-eda-and-encoder-for-the-sad", "kernel_id": "14445264"}, {"ref": "trngcl/data-science-project-prediction", "kernel_id": "14181289"}, {"ref": "erdemkaraahin/titanic-project", "kernel_id": "14262523"}, {"ref": "tombowe/titanic-ml-notebook", "kernel_id": "14218617"}, {"ref": "emidiovecchione/titanic-with-pyspark", "kernel_id": "14697299"}, {"ref": "espriella/titanic-random-trees-and-others", "kernel_id": "14270009"}, {"ref": "btejkiran/titanic-a2", "kernel_id": "14319415"}, {"ref": "btejkiran/titanic-a1", "kernel_id": "14300915"}, {"ref": "abhijeetkumar1796/titanic", "kernel_id": "14428977"}, {"ref": "kudasovdmitriy/awoiding-icebergs-competition-factor-analysis", "kernel_id": "14659826"}, {"ref": "imasimali/titanic-machine-learning-from-disaster", "kernel_id": "14664356"}, {"ref": "yasinnaal/machine-learning-from-titanic-disaster", "kernel_id": "14030240"}, {"ref": "seon22/titanic", "kernel_id": "14183412"}, {"ref": "bagusbpg/my-3rd-notebook", "kernel_id": "14845376"}, {"ref": "davidovidiunae/titanic-with-xgboost", "kernel_id": "14287016"}, {"ref": "haoyuwang777/titanic-fcn", "kernel_id": "14025979"}, {"ref": "pouyaaskari/titanic-disaster", "kernel_id": "14286509"}, {"ref": "datdangduy/tuning", "kernel_id": "14009520"}, {"ref": "areezy/data-mining-project", "kernel_id": "14142829"}, {"ref": "areezy/notebook986c07c5f8", "kernel_id": "14141823"}, {"ref": "hocohelper/titanic-randomforest", "kernel_id": "14602260"}, {"ref": "yangqkaggle/titanic", "kernel_id": "14684810"}, {"ref": "ayahamdy95/titanic-ml-challenge", "kernel_id": "14563496"}, {"ref": "aadarshvelu/survival-prediction", "kernel_id": "14496447"}, {"ref": "nolanhg/informatica-periode-3", "kernel_id": "14747252"}, {"ref": "andrejtrajkovski/titanic-starting-with-ds-and-ml", "kernel_id": "14495323"}, {"ref": "adamferrick/titanic-svm", "kernel_id": "14512994"}, {"ref": "kiranclement/titanic-survival-prediction-4-ultimate-beginners", "kernel_id": "14147138"}, {"ref": "iainmcintosh/usingrandomforestfortitanicdatasetpredictions", "kernel_id": "14022669"}, {"ref": "yashgupta2000/better-faster-eda-4-types", "kernel_id": "14100737"}, {"ref": "salmantayyab/titanic-competition", "kernel_id": "14433462"}, {"ref": "qyuanyuan/homework-answer", "kernel_id": "14056698"}, {"ref": "zhangzewan/notebook4c9bbda3cd", "kernel_id": "14776224"}, {"ref": "zhangzewan/notebookf774ccf783", "kernel_id": "14776109"}, {"ref": "dhawalsoni/titanic-sur", "kernel_id": "14466475"}, {"ref": "benamarareda/titanic-tree-vs-linear-models-comparison-top-3", "kernel_id": "14535563"}, {"ref": "carolinalderete/titanic-survive-model", "kernel_id": "14374054"}, {"ref": "sominathavhad21/titanic-survival-prediction-using-logistic-regr", "kernel_id": "14169888"}, {"ref": "yilanchen/titanic-eda-and-model-prediction", "kernel_id": "14005043"}, {"ref": "kenjishioya/titanic-competition", "kernel_id": "14275253"}, {"ref": "klausbaer/exploring-the-titanic-dataset", "kernel_id": "14054037"}, {"ref": "abuzersahin/titanic-ml-pred", "kernel_id": "14937400"}, {"ref": "ptw000/titanic-svc-pipeline", "kernel_id": "14379545"}, {"ref": "ryuparish/titanic-simple-ml-dl-with-sklearn-and-pytorch", "kernel_id": "14549553"}, {"ref": "tenghoo/titanic", "kernel_id": "14752223"}, {"ref": "nowshintasnim/play-around-with-titanic", "kernel_id": "14393551"}, {"ref": "kanishkkavdia/titanic-prediction-models-and-visualizations", "kernel_id": "14813635"}, {"ref": "kanishkkavdia/notebook92069fd987", "kernel_id": "14618929"}, {"ref": "hananxx/titanic", "kernel_id": "14271675"}, {"ref": "mariahalshiekh/project-taitanic", "kernel_id": "14255907"}, {"ref": "mariahalshiekh/project-titanic-rf-clean", "kernel_id": "14256396"}, {"ref": "imohtn/titanic-rnm-eda-fe-modeling", "kernel_id": "14276926"}, {"ref": "modhiibrahimalmannaa/titanic-by-r-s-m-goup", "kernel_id": "14203690"}, {"ref": "allankong/titanic-visualizing-data-patterns", "kernel_id": "14152024"}, {"ref": "jeonyongjun/neural-network-for-titanic", "kernel_id": "14023915"}, {"ref": "jeonyongjun/yongjun-titanic-logisticregression", "kernel_id": "14019930"}, {"ref": "jeonyongjun/titanic-logistic-regression-with-python", "kernel_id": "14018937"}, {"ref": "jeonyongjun/titanic-ann-model-predict", "kernel_id": "14296359"}, {"ref": "quantumporium/titanic-submission", "kernel_id": "14011505"}, {"ref": "toygunozyurek/titanic-eda", "kernel_id": "14058566"}, {"ref": "maramalsubaiei/titanic-prediction-competition", "kernel_id": "14267521"}, {"ref": "fahdahalalyan/classification-techniques-titanic", "kernel_id": "14271080"}, {"ref": "yuankang731/tatanic-rescue-problem", "kernel_id": "14623635"}, {"ref": "yuankang731/taitanic-problem", "kernel_id": "14635724"}, {"ref": "abeeralzuhair2020/titanic-challenge-dsi-group3", "kernel_id": "14237146"}, {"ref": "jpvlerbe/titanic-basic-jasper", "kernel_id": "14081455"}, {"ref": "kennethdl/titanic-basic", "kernel_id": "14028250"}, {"ref": "danieelolivaw/logistic-regression-accuracy-0-86", "kernel_id": "14475753"}, {"ref": "vascosfernandes/1titanic", "kernel_id": "14784618"}, {"ref": "rawaneid/titanic-notebook", "kernel_id": "14222769"}, {"ref": "anmfahimfaisal/titanic-disaster-survivability-prediction-using-ml", "kernel_id": "14027455"}, {"ref": "veerepallibhavani/titanic-prediction-model-lr-beginner", "kernel_id": "14406191"}, {"ref": "ukaszdziechciarczyk/getting-started-with-titanic", "kernel_id": "14527722"}, {"ref": "subbugalam/titanic-pure-ml", "kernel_id": "14497930"}, {"ref": "williamheymankrill/notebook4c3a3dbe30", "kernel_id": "14101757"}, {"ref": "justhewayoflife/justin-guerra-s-titanic-ml-challenge-pynotebook", "kernel_id": "14220341"}, {"ref": "athanassiosbakas/titanic-notebook-basic-analysis", "kernel_id": "14071488"}, {"ref": "nakyunglee/titanic-na", "kernel_id": "14895866"}, {"ref": "reemalruqi/titanic-classification", "kernel_id": "14275994"}, {"ref": "torstenknop/titanic-beginner", "kernel_id": "14140133"}, {"ref": "peterguman/notebook25f1d82f49", "kernel_id": "14082624"}, {"ref": "sarojkumarjha/titanic-challenge", "kernel_id": "14464400"}, {"ref": "richardbechera/notebook53f577d37b", "kernel_id": "14085158"}, {"ref": "brodus/titanic-notebook", "kernel_id": "14096423"}, {"ref": "camole/titanic-top-9-with-extra-random-forest", "kernel_id": "14153109"}, {"ref": "thierryneusius/spliting-training-data", "kernel_id": "14233216"}, {"ref": "dinisdias/titanic-treinado", "kernel_id": "14784675"}, {"ref": "hekkta/titanic-competition-mlp-and-random-forest", "kernel_id": "14129375"}, {"ref": "nitinkumarsharma/kaggle-competition-titanic-survival-prediction", "kernel_id": "14173953"}, {"ref": "ravindranperumal/titanic-machine-classifier-aan-xgboost-hptuning", "kernel_id": "14150674"}, {"ref": "mohammadaothman/titanic", "kernel_id": "14265940"}, {"ref": "atultyagi2000/titanic-survival-prediction-using-logisticregressi", "kernel_id": "14160111"}, {"ref": "tharunnayak14/titanic-survival-prediction", "kernel_id": "14951593"}, {"ref": "razvanmare/titanic-2", "kernel_id": "14268875"}, {"ref": "sophievincoff/getting-started-with-titanic", "kernel_id": "14154036"}, {"ref": "yonema10/titanic-ver2", "kernel_id": "14563482"}, {"ref": "ajjais/titanic-problem", "kernel_id": "14283329"}, {"ref": "edith2021/titanic-data-modification", "kernel_id": "14642100"}, {"ref": "ahsenyavas/titanic-project", "kernel_id": "14182365"}, {"ref": "xdeng10/titanic-predict-survival", "kernel_id": "14220874"}, {"ref": "rafaucka/titanic-neural-network-ucka", "kernel_id": "14213037"}, {"ref": "aleksanderwrzeszcz/lab-4", "kernel_id": "14213870"}, {"ref": "istilllovemyex/competition-titanic-survived-prediction", "kernel_id": "14257810"}, {"ref": "agharashid/titanic-basic-solution-using-adaboost-596446", "kernel_id": "14980033"}, {"ref": "barretp/logistic-regression", "kernel_id": "14220048"}, {"ref": "davidoluwatobipeter/titanic-survival-prediction", "kernel_id": "14530163"}, {"ref": "michaellutz/titanic-notebook-eda-feature-engineering", "kernel_id": "14253862"}, {"ref": "florusbernier/titanic-survival-prediction", "kernel_id": "14243129"}, {"ref": "marijnvanhest/titanic-ml", "kernel_id": "14772295"}, {"ref": "shaunakw/bell-ml-3-titanic", "kernel_id": "14254926"}, {"ref": "aarongomez/titanic-trees", "kernel_id": "14293972"}, {"ref": "aipinghu/notebook588203dbc5", "kernel_id": "14279540"}, {"ref": "ghostgeek/my-titanic", "kernel_id": "14751579"}, {"ref": "bluesadi/my-solution-for-titanic", "kernel_id": "14484446"}, {"ref": "zahidmahar/getting-started-with-titanic", "kernel_id": "14392010"}, {"ref": "crilom/titanic-random-forest-cristhian-martinez", "kernel_id": "14275155"}, {"ref": "faisalirzal/notebook8b6ebba021", "kernel_id": "14464656"}, {"ref": "josignaciofernandez/titanic-machine-learning-model", "kernel_id": "14837499"}, {"ref": "josignaciofernandez/titanic-machine-learning-model-top-14", "kernel_id": "14981870"}, {"ref": "jasminelcanti/started-with-titanic", "kernel_id": "14393977"}, {"ref": "peeushthedeveloper/featureengineering", "kernel_id": "14508594"}, {"ref": "peeushthedeveloper/data-exploration-and-survived-pred", "kernel_id": "14461437"}, {"ref": "hyojoonshin/hj-tutorial", "kernel_id": "14315977"}, {"ref": "josephawonusi/titanic-eda", "kernel_id": "14691296"}, {"ref": "ninotomo/notebook-titanic-tree", "kernel_id": "14615207"}, {"ref": "ninotomo/notebook-titanic-forest", "kernel_id": "14615524"}, {"ref": "ninotomo/notebook-titanic-reg", "kernel_id": "14613292"}, {"ref": "ninotomo/notebook-titanic-knn", "kernel_id": "14657796"}, {"ref": "ninotomo/notebook-titanic-fnn", "kernel_id": "14643911"}, {"ref": "minkshirani/titanic", "kernel_id": "14815018"}, {"ref": "hiroakikamiya/notebook67ea56713b", "kernel_id": "14514014"}, {"ref": "zheyingvivi/titanic-classification", "kernel_id": "14382536"}, {"ref": "mariobra/titanic-krnl1", "kernel_id": "14395568"}, {"ref": "tasneemabdulrahim/getting-started-with-titanic", "kernel_id": "14500336"}, {"ref": "salihsert/titanic-basic-data-analysis", "kernel_id": "14446154"}, {"ref": "masatouchi/titanic", "kernel_id": "14465702"}, {"ref": "masatouchi/titanic-ver", "kernel_id": "14460716"}, {"ref": "yeonju52/titanic-leeyeonju", "kernel_id": "14471414"}, {"ref": "kaiketelhut/notebook988475cf79", "kernel_id": "14377493"}, {"ref": "rezameri/ensemble-learning-for-titanic-disaster", "kernel_id": "14872686"}, {"ref": "sufyansadiq/titanic-survival-predictions", "kernel_id": "14633418"}, {"ref": "monica1996/mc-draft-1", "kernel_id": "14356555"}, {"ref": "ishisakitaiki/titanic-pclass-fare-sex-age", "kernel_id": "14638734"}, {"ref": "giangtrang/titanic-naive-bayes", "kernel_id": "14397239"}, {"ref": "debarpitosarkar/titanic-survey-using-logistic-regression", "kernel_id": "14640431"}, {"ref": "cmcd0nagh/titanic-analysis-using-k-means-from-scratch", "kernel_id": "14407009"}, {"ref": "apk1990/titanic-the-survivors", "kernel_id": "14436074"}, {"ref": "olafbogus/notebook-lovelace-gr20", "kernel_id": "14386063"}, {"ref": "cjones300/group28titanicnotepad", "kernel_id": "14758519"}, {"ref": "altunkeskin/altuntitanic", "kernel_id": "14829176"}, {"ref": "hibrahimy/getting-started-with-titanic-dataset", "kernel_id": "14485410"}, {"ref": "eduardakhmetshin/homework-2", "kernel_id": "14822070"}, {"ref": "zhuodaxu/mlcoursework1", "kernel_id": "14462382"}, {"ref": "ximietianlai/titanic-survival-predictions-beginner", "kernel_id": "14422911"}, {"ref": "yuujinleee/titanic-with-decisiontreeclassifier", "kernel_id": "14728588"}, {"ref": "skyecai/titanic-eda-8-classification-using-scikit-learn", "kernel_id": "14687443"}, {"ref": "nikhildarokar352/titanic-data-prediction-logistic-algorithm", "kernel_id": "14454177"}, {"ref": "aysuncag/titanic-data-modeling-with-logistic-regression", "kernel_id": "14731816"}, {"ref": "x2020dxm/titanic-survival-prediction", "kernel_id": "14642180"}, {"ref": "oleksandrbielov/first-ml-titanic", "kernel_id": "14904109"}, {"ref": "x2020eua/x2020eua", "kernel_id": "14647709"}, {"ref": "x2020fjv/titanic-survival-prediction-21", "kernel_id": "14646784"}, {"ref": "x2020fjv/titanic-survival-prediction", "kernel_id": "14578345"}, {"ref": "shamsx2020gtm/notebook8ab805230c", "kernel_id": "14454014"}, {"ref": "dangtrung/titanic-wcg-simple-extra-trees-0-82775", "kernel_id": "14854214"}, {"ref": "shivarajmishra/titanic-project-a-guide-for-ml-based-prediction", "kernel_id": "14764760"}, {"ref": "shivarajmishra/etutorial-ml-based-prediction-for-titanic-disaster", "kernel_id": "14787520"}, {"ref": "grzegorzlippe/titanic-tutorial", "kernel_id": "14655481"}, {"ref": "annderssonvilla/titanic-prediction-model-eda", "kernel_id": "14551072"}, {"ref": "annderssonvilla/preprocessing-detect-remove-outliers-titanic", "kernel_id": "14550981"}, {"ref": "testanother/binary-classification-with-titanic", "kernel_id": "14565218"}, {"ref": "camilolozano/cap5610-ml-hw-1", "kernel_id": "14589539"}, {"ref": "isumanthparuchuri/titanic", "kernel_id": "14747777"}, {"ref": "x2020fjx/titanic-x2020fjx", "kernel_id": "14531952"}, {"ref": "magicard/titanic-survivors-data-analyze", "kernel_id": "14532345"}, {"ref": "x2020gec/final-sub", "kernel_id": "14640340"}, {"ref": "x2020ddb/firstmlproject", "kernel_id": "14546083"}, {"ref": "juniorbernard/titanic", "kernel_id": "14566986"}, {"ref": "ismailerkilic/mytitanicproject-ismailerkilic", "kernel_id": "14866132"}, {"ref": "ignaciomorenomarn/titanic-prediction", "kernel_id": "14580380"}, {"ref": "cdegraftjohnson/charles-titanic", "kernel_id": "14595528"}, {"ref": "bansalvishesh/titanic-challenge-machine-learning", "kernel_id": "14646822"}, {"ref": "adrienargento/notebook641e6d8f92", "kernel_id": "14907262"}, {"ref": "wilperea/titanic-ml-categorical-practice", "kernel_id": "14606375"}, {"ref": "itssuru/preprocessing-titanic", "kernel_id": "14635436"}, {"ref": "luyaowang2021/exploring-titanic-data-and-predicting-with-rf", "kernel_id": "14976812"}, {"ref": "sercanball/titanic-datascience", "kernel_id": "14668945"}, {"ref": "sercanball/machinelearning-titanic", "kernel_id": "14908017"}, {"ref": "petermichel/rip-titanic", "kernel_id": "14633802"}, {"ref": "johntwen/ml-on-titanic", "kernel_id": "14678340"}, {"ref": "volkankarakus/volkankarakus-titanic-eda", "kernel_id": "14721165"}, {"ref": "volkankarakus/volkankarakustitanic-eda", "kernel_id": "14872733"}, {"ref": "azizullah444/titanic-machine-learning-from-disaster", "kernel_id": "14938608"}, {"ref": "sharanya02/titanic", "kernel_id": "14697438"}, {"ref": "nah007/notebook-titanic0", "kernel_id": "14645863"}, {"ref": "massimoca/titanic-with-logistic-regression-without-pytorch", "kernel_id": "14688974"}, {"ref": "jensenanalyst/notebook3ea8f28cd6", "kernel_id": "14782188"}, {"ref": "igorgriboedov/introduction-to-ensembling-stacking-in-python-sb", "kernel_id": "14796140"}, {"ref": "timvannieuwkerk/correlatie", "kernel_id": "14772995"}, {"ref": "timvannieuwkerk/overlevingskansen", "kernel_id": "14751166"}, {"ref": "tijlhubeek/po-eindopdracht-tema-3", "kernel_id": "14714034"}, {"ref": "gabrielsouzasbl/notebook8747a4e652", "kernel_id": "14764071"}, {"ref": "dshassan/my-first-ml-model", "kernel_id": "14835157"}, {"ref": "juliettebudelman/titanic-werkboek", "kernel_id": "14669265"}, {"ref": "swapnilbhaskar/titanic-to-beginner", "kernel_id": "14680786"}, {"ref": "mohammadanzarasif04/notebooke4c92ea657", "kernel_id": "14672148"}, {"ref": "volcano581/notebook57d5415f61", "kernel_id": "14844722"}, {"ref": "kartavyasrivastav/notebook6592e9c4db", "kernel_id": "14737525"}, {"ref": "leavandenheuvel/final-endj", "kernel_id": "14818605"}, {"ref": "leavandenheuvel/titanic-lrm", "kernel_id": "14802818"}, {"ref": "leavandenheuvel/titanic-draft", "kernel_id": "14694084"}, {"ref": "alaamasalha/titanic", "kernel_id": "14687220"}, {"ref": "purvitsharma/titanic-1", "kernel_id": "14693314"}, {"ref": "pramodsivakumar/titanic-simple-eda-and-predictions", "kernel_id": "14864056"}, {"ref": "kbrakaysal/titanic-eda-with-datai-team", "kernel_id": "14861596"}, {"ref": "ericalastufka/titanic-xgboost-simple", "kernel_id": "14771462"}, {"ref": "suntharanarunasalam/titanic", "kernel_id": "14812123"}, {"ref": "zachtarbet/getting-started-with-titanic", "kernel_id": "14868815"}, {"ref": "sowjanyasadashiva/sowj-titanic-code", "kernel_id": "14996783"}, {"ref": "aboonaziha/stackensemble-model-for-titanic-machine-learning", "kernel_id": "14944674"}, {"ref": "vic500/my-file-titanik-eda", "kernel_id": "14854378"}, {"ref": "sanchitpathak/titanic-ml-from-disaster", "kernel_id": "14957579"}, {"ref": "slavavolyanuk/fist-notebook-here-terrible", "kernel_id": "14822728"}, {"ref": "maheshbabuxr/titanic-survival", "kernel_id": "14816503"}, {"ref": "silvertupper/first-attempt-advice-appreciated", "kernel_id": "14832509"}, {"ref": "ravishaankarr/rt233gkpo", "kernel_id": "14983997"}, {"ref": "mrezamirshekari/titanic-eda", "kernel_id": "14863554"}, {"ref": "vladimirbasarab/main-titanic", "kernel_id": "14875087"}, {"ref": "marcorusse/titanic-1-fastai-beginner-tutorial", "kernel_id": "14895402"}, {"ref": "fathhalak/fatih-titanic", "kernel_id": "14905806"}, {"ref": "yeahgeeeee/titanic-tutorial-for-beginners-2020", "kernel_id": "14927255"}, {"ref": "nizdarlaila/titanic-using-python", "kernel_id": "14943487"}, {"ref": "fedebaron/titanic-federicobaron", "kernel_id": "14988144"}, {"ref": "alexryzhkov/titanic-1-lightautoml-starter-on-extended-data", "kernel_id": "15703949"}, {"ref": "shahid2/titanic-simple-and-easy-way", "kernel_id": "15291572"}, {"ref": "celniker/titanic-eda-and-tuned-stacked-lgbm-top-5", "kernel_id": "15045581"}, {"ref": "rj1993/titanic-logic-regression-in-python", "kernel_id": "15191316"}, {"ref": "joshstone/titanic-compare-rf-rpart-gbm", "kernel_id": "15439645"}, {"ref": "surbhisultania/titanic-case-study-simple-code", "kernel_id": "15273790"}, {"ref": "sramad/titanic-1-1", "kernel_id": "15880677"}, {"ref": "dipanwita/01-titanic-kaggle", "kernel_id": "15733911"}, {"ref": "desbois/getting-started-with-titanic", "kernel_id": "15479329"}, {"ref": "jmreuter/titanic-deterministic-decision-tree", "kernel_id": "15618043"}, {"ref": "rohitr0486/titanic-solution-random-forest", "kernel_id": "15807683"}, {"ref": "toshimelonhead/titanic-top-10", "kernel_id": "15095225"}, {"ref": "ashoksuthar/beginner-s-visualization-with-plotly-titanic", "kernel_id": "15080830"}, {"ref": "shams1/titanic-2", "kernel_id": "15175954"}, {"ref": "shams1/titatnic", "kernel_id": "15084097"}, {"ref": "shams1/titanic-5", "kernel_id": "15252394"}, {"ref": "shams1/titanic-9", "kernel_id": "15317131"}, {"ref": "shams1/titanic-6", "kernel_id": "15293676"}, {"ref": "marissafernandes/ml-in-r-from-scratch-in-progress", "kernel_id": "15073496"}, {"ref": "yeesunch/mla-framework", "kernel_id": "15954421"}, {"ref": "currypurin/titanic-raincloud-tutorial", "kernel_id": "15513794"}, {"ref": "dishha/titanic-survival-chances", "kernel_id": "15137052"}, {"ref": "niramaykelkar/titanic-predicting-the-survivors", "kernel_id": "15157136"}, {"ref": "huguestalbot/titanic-data-analysis-and-rf-model", "kernel_id": "15784017"}, {"ref": "goksucan/titanic-project-im5211701-homework-1", "kernel_id": "15546420"}, {"ref": "hrappuccino/simple-prediction-w-dtree-logit", "kernel_id": "15184399"}, {"ref": "wypwong/2021-03-06-girls-in-ai-hackathon", "kernel_id": "15233022"}, {"ref": "scatteredflo/210331-titanic-ai", "kernel_id": "15907009"}, {"ref": "scatteredflo/210324-titanic-ai", "kernel_id": "15732220"}, {"ref": "mehdighmghm/novel-insight-for-titanic-prediction", "kernel_id": "15655261"}, {"ref": "akhisreelibra/started-with-titanic", "kernel_id": "15478900"}, {"ref": "ashishtop/firstsubmission-ann", "kernel_id": "15741055"}, {"ref": "treppiccione/titanic-competition", "kernel_id": "15621168"}, {"ref": "funxexcel/titanic-solution-rf-base-model-1", "kernel_id": "15338831"}, {"ref": "iamnamita/titanic-survival-using-random-forest", "kernel_id": "15689972"}, {"ref": "pashupatigupta/project-statistical-auto-correct-system", "kernel_id": "15130344"}, {"ref": "mateus558/titanic-automl-with-auto-sklearn", "kernel_id": "15674106"}, {"ref": "mateus558/titanic-keras", "kernel_id": "15538931"}, {"ref": "bhuvaneshwaryt/getting-started-with-titanic", "kernel_id": "15595160"}, {"ref": "uma2010/titanic-new", "kernel_id": "15595990"}, {"ref": "guruprasad91/titanic-for-inlustro", "kernel_id": "15189643"}, {"ref": "asha3417/titanic-data-analysis", "kernel_id": "15205162"}, {"ref": "daidi06/titanic-ensemble-learning", "kernel_id": "15319212"}, {"ref": "at3191/first-trial-titanic-data", "kernel_id": "15374003"}, {"ref": "filipinogambino/ground-up-tabular", "kernel_id": "15895676"}, {"ref": "nirmal51194/titanic-prediction-of-survived-using-ml-models", "kernel_id": "15079287"}, {"ref": "nirmal51194/titanic-eda-and-data-preparation", "kernel_id": "15079154"}, {"ref": "mparimala/titanic-disaster", "kernel_id": "15960502"}, {"ref": "vbmokin/50-advanced-tips-data-science-for-tabular-data", "kernel_id": "15802291"}, {"ref": "atul1628/titatic-practice", "kernel_id": "15759044"}, {"ref": "matthiasbachfischer/titanic-random-forest", "kernel_id": "15429656"}, {"ref": "kavyasreeb/getting-started-with-titanic", "kernel_id": "15720430"}, {"ref": "lokesh8198/titanic-feature-engineering-and-model-validation", "kernel_id": "15316271"}, {"ref": "rahularanya/titanic-solution-random-forest", "kernel_id": "15807733"}, {"ref": "markusdegen/titanic-naive-bayes", "kernel_id": "15352737"}, {"ref": "poojithakale/titanic-dataset", "kernel_id": "15617291"}, {"ref": "nadare/transformer-is-a-kind-of-knn", "kernel_id": "15184777"}, {"ref": "yashan007/titanic-survival-prediction", "kernel_id": "15549059"}, {"ref": "vithal2311/statistical-analysis-in-python", "kernel_id": "15633645"}, {"ref": "vithal2311/titanic-xgb-tuning-top-7", "kernel_id": "15558089"}, {"ref": "shribhadgaonkar/titanic-project", "kernel_id": "15652188"}, {"ref": "sinjoysaha/titanic-eda-miss-cat-vals-std-norm", "kernel_id": "15057549"}, {"ref": "cjywish/feature-engineering", "kernel_id": "15130445"}, {"ref": "tahminashoaib86/titanic-ml", "kernel_id": "15465640"}, {"ref": "swas2103/titanic-survival", "kernel_id": "15662462"}, {"ref": "adisav17/advait-titanic-new", "kernel_id": "15195605"}, {"ref": "adisav17/advait-titanic", "kernel_id": "15195669"}, {"ref": "ehallenborg/titanic-notebook", "kernel_id": "15433727"}, {"ref": "dudewhat/titanic-with-random-forest-top-5", "kernel_id": "15559976"}, {"ref": "nssurya1996/titanic-problem", "kernel_id": "15048636"}, {"ref": "pssabishek/eda-xg-boost", "kernel_id": "15094938"}, {"ref": "abhee235/titanic-data-analysis", "kernel_id": "15365172"}, {"ref": "dmisky/rsschool-005-classification-linear-knn-part-2", "kernel_id": "15244861"}, {"ref": "dmisky/rsschool-006-rf-classifier", "kernel_id": "15228481"}, {"ref": "dmisky/rsschool-005-classification-linear-knn", "kernel_id": "15087493"}, {"ref": "himakshi2110/titanic-logisticregression-svm-randomforest", "kernel_id": "15308934"}, {"ref": "gracisanfe/titanic-1", "kernel_id": "15765780"}, {"ref": "inaete/titanic-competition-ina", "kernel_id": "15902820"}, {"ref": "masaonda/titanic-hyperparameter-tuning-with-keras-tuner", "kernel_id": "15275588"}, {"ref": "rodgjame/titanic-survivability-notebook", "kernel_id": "15596801"}, {"ref": "erkutygt/titanic-eda-erkutyigit", "kernel_id": "15365712"}, {"ref": "almutairiphd/cpes-machine-learning-course-day-1-2", "kernel_id": "15563758"}, {"ref": "tripathi786/om-titanic", "kernel_id": "15214721"}, {"ref": "leeyj0511/tutorial-ensembel-from-starter-to-expert", "kernel_id": "15221030"}, {"ref": "leeyj0511/model-evaluation-1-classification-metrics", "kernel_id": "15147835"}, {"ref": "pritommojumder/eda-on-titanic-dataset", "kernel_id": "15430831"}, {"ref": "elichen/titanic-with-xgboost", "kernel_id": "15642638"}, {"ref": "nipun06/notebookabc90474d3", "kernel_id": "15173288"}, {"ref": "andapka/logreg-knn", "kernel_id": "15310227"}, {"ref": "faelk8/titanic-eda-feature-engineering", "kernel_id": "15869608"}, {"ref": "faelk8/titanic-solutions-automl", "kernel_id": "15873593"}, {"ref": "subinium/matplotlib-conceptual-figure-basic-viz", "kernel_id": "15183610"}, {"ref": "subinium/awesome-new-in-matplotlib-3-4-0", "kernel_id": "15835646"}, {"ref": "subinium/dark-mode-visualization-apple-version", "kernel_id": "15667229"}, {"ref": "rothelegend/titanic-machine-learning-from-disaster", "kernel_id": "15980923"}, {"ref": "cardosaum/notebook90734997ed", "kernel_id": "15968940"}, {"ref": "sherrygow/titanic-trial", "kernel_id": "15518506"}, {"ref": "nikhilyadav10051998/data-visualization-on-titanic-dataset", "kernel_id": "15983615"}, {"ref": "vighneshs/titanic-dataset-prediction", "kernel_id": "15096010"}, {"ref": "mithun639/titanic-machine-learning-prediction-accuracy-84", "kernel_id": "15817614"}, {"ref": "efradgamer/belajar-datamining-pertama-prc", "kernel_id": "15801614"}, {"ref": "efradgamer/titanic-prc-bootcamp", "kernel_id": "15765191"}, {"ref": "shuchita008/introduction-to-data-with-python-part-i", "kernel_id": "15140275"}, {"ref": "shuchita008/univariate-data-descriptive-statistics-part-ii", "kernel_id": "15268130"}, {"ref": "agarwalsourabh55/titanic-assignment", "kernel_id": "15525379"}, {"ref": "agarwalsourabh55/titanic-disaster", "kernel_id": "15338927"}, {"ref": "izacmelo/mini-projeto-2-rvores-de-decis-o", "kernel_id": "15950879"}, {"ref": "jhonfr14/pandas-beginner-with-titanic-dataset", "kernel_id": "15115509"}, {"ref": "jgalgarra/titanicmiosolomio", "kernel_id": "15385355"}, {"ref": "zgragrl/classification-solutions-with-ensemble-modeling", "kernel_id": "15988594"}, {"ref": "issaouisafa/tiatanic-first-ml-competition-ever", "kernel_id": "15344966"}, {"ref": "sameerkoleshwar/titanic-classification-with-eda", "kernel_id": "15199028"}, {"ref": "palanjali007/titanic-top-32-approach", "kernel_id": "15090787"}, {"ref": "manuelrodval/titanic-ml-from-disaster", "kernel_id": "15410135"}, {"ref": "tu3f1718036/titanic-survival", "kernel_id": "15699198"}, {"ref": "anoshpa/getting-started-with-titanic", "kernel_id": "15048521"}, {"ref": "bxbeh94/jcu-ict2-sp51-2020", "kernel_id": "15685027"}, {"ref": "rupakroy/titanic-kaggle-comp-2021-updated-lazyclassifier", "kernel_id": "15329558"}, {"ref": "refing/machine-learning-best-practice", "kernel_id": "15320821"}, {"ref": "daikikatsuragawa/a-beginner-s-guide-to-h2o-automl", "kernel_id": "15513469"}, {"ref": "daikikatsuragawa/automatic-identification-of-target-label-name", "kernel_id": "15529234"}, {"ref": "daikikatsuragawa/a-beginner-s-guide-to-mljar", "kernel_id": "15787359"}, {"ref": "daikikatsuragawa/a-beginner-s-guide-to-autogluon", "kernel_id": "15172312"}, {"ref": "daikikatsuragawa/a-beginner-s-guide-to-pycaret", "kernel_id": "15478268"}, {"ref": "innixma/top-3-in-1-line-of-code-w-autogluon", "kernel_id": "15438192"}, {"ref": "hankarmostafa/predicting-survived-passengers-on-the-board", "kernel_id": "15947217"}, {"ref": "anirudhg15/top-8-randomforest-mice-predict-titanic-survival", "kernel_id": "15212648"}, {"ref": "demirkirans/titanic-ml-intro", "kernel_id": "15450417"}, {"ref": "kemalgunay/titanic-eda-exploratory-data-analysis", "kernel_id": "15032770"}, {"ref": "leeminwoo/sklearn-logisticregression-77-27", "kernel_id": "15265887"}, {"ref": "leeminwoo/pytorch-lr-76-79-dnn-77-27", "kernel_id": "15293413"}, {"ref": "shanan93/titanic-machine-learning", "kernel_id": "15138714"}, {"ref": "nikunjbansal/eda-prediction", "kernel_id": "15457782"}, {"ref": "vishuvardhan16/titanic", "kernel_id": "15551850"}, {"ref": "kbisen/notebookd60fd6dfae", "kernel_id": "15591062"}, {"ref": "oniso20/survival-prediction-for-the-titanic-using-decision", "kernel_id": "15165078"}, {"ref": "jayashree4/titanic-eda-prediction", "kernel_id": "15701338"}, {"ref": "accountstatus/making-synthetic-data-using-gan", "kernel_id": "15125761"}, {"ref": "laplace8/2021-02-22-titanic-test", "kernel_id": "15070140"}, {"ref": "medaxone/titanic-challenge-0-82057-for-beginners-with-tune", "kernel_id": "15108504"}, {"ref": "prudhvinagula/simple-feature-engineering-catboost-with-skfold", "kernel_id": "15996585"}, {"ref": "benherbertson/titanic-decision-tree", "kernel_id": "15483293"}, {"ref": "neuralnugget/m2-siad-t6-py-titanic-ml", "kernel_id": "15810134"}, {"ref": "eduardogusmao/titanic-machine-learning", "kernel_id": "15353618"}, {"ref": "praful932/titanic-approach-modelling", "kernel_id": "15272854"}, {"ref": "rupanshuj/titanic-feature-selection-ensemble", "kernel_id": "15655646"}, {"ref": "mskbr1/titanic-project-kernel", "kernel_id": "15114845"}, {"ref": "egorracio/titanic-solution-a-beginner-s-guide-russian", "kernel_id": "15808722"}, {"ref": "catadanna/titanic", "kernel_id": "15677044"}, {"ref": "mchilamwar/titanic-disaster-prediction", "kernel_id": "15187854"}, {"ref": "amjad91/titanic-dataset-with-logistic-regression", "kernel_id": "15168945"}, {"ref": "zashio/the-power-of-catboost", "kernel_id": "15626003"}, {"ref": "decnalabbalanced/wcgroup-model", "kernel_id": "15536330"}, {"ref": "danmolina23/the-two-svm-s-with-titanic", "kernel_id": "15732961"}, {"ref": "amritanigote/titanic", "kernel_id": "15042268"}, {"ref": "danishbansal808/titanic", "kernel_id": "15245077"}, {"ref": "lgamal/titanic-case", "kernel_id": "15067196"}, {"ref": "ashiqahamedkp/titanic-competition", "kernel_id": "15784750"}, {"ref": "windsuzu/beyond-77-pytorch-lightning-ray-tune", "kernel_id": "15466722"}, {"ref": "lucasmullers/titanic", "kernel_id": "15479350"}, {"ref": "ajitbasantia/titanic-basic-solution-using-adaboost", "kernel_id": "15323660"}, {"ref": "spectren/titanic-prediction", "kernel_id": "15616094"}, {"ref": "aman7172/titanic-model-prediction", "kernel_id": "15110949"}, {"ref": "anandrai74/my-first-kaggle-wb", "kernel_id": "15003437"}, {"ref": "kossboii/titanic-kaggle-cs4650", "kernel_id": "15708402"}, {"ref": "kuboiyusuke/00-titanic", "kernel_id": "15348016"}, {"ref": "brandnewmin/second-titanic-2", "kernel_id": "15384730"}, {"ref": "brandnewmin/first-titanic-1", "kernel_id": "15253580"}, {"ref": "sanghyeokkim/titanic-analysis", "kernel_id": "15051548"}, {"ref": "modesty520/a-tutorial-with-tidymodels", "kernel_id": "15245859"}, {"ref": "niharkashyap/titanic-pred", "kernel_id": "15346762"}, {"ref": "chumajin/lgbm-starter-with-optuna", "kernel_id": "15241522"}, {"ref": "kboroszko/data-analysis", "kernel_id": "15158678"}, {"ref": "sivantm/titanic-passenger-survival-prediction", "kernel_id": "15656465"}, {"ref": "vishal2064/getting-started-with-titanic", "kernel_id": "15589987"}, {"ref": "vraizen/titanic-notebook", "kernel_id": "15043431"}, {"ref": "qasimhassan/titanic-eda-pycaret-predictive-analysis", "kernel_id": "15819423"}, {"ref": "carlmcbrideellis/classification-how-imbalanced-is-imbalanced", "kernel_id": "15671874"}, {"ref": "nettasav/titanic-notebook-top-5", "kernel_id": "15448050"}, {"ref": "irfanmansuri/titanic", "kernel_id": "15817038"}, {"ref": "jclark754/titanic-survivability-with-xgboost", "kernel_id": "15778825"}, {"ref": "rahulkumar234/notebook35015d2d86", "kernel_id": "15935123"}, {"ref": "jerinm/titanic-survival-prediction", "kernel_id": "15535535"}, {"ref": "richardlehmann/titanic-random-forest", "kernel_id": "15986447"}, {"ref": "ajaynain/notebook1f157fc487", "kernel_id": "15193315"}, {"ref": "meet3010/detailed-analysis-prediction-on-titanic-dataset", "kernel_id": "15726393"}, {"ref": "augustinej/beginner-s-kaggle-ml-competition-titanic", "kernel_id": "15360792"}, {"ref": "akioonodera/titanic-with-scikit-learn", "kernel_id": "15401491"}, {"ref": "maurocarvalho/titanic", "kernel_id": "15982109"}, {"ref": "adityasharma95/titanic-shipwreck-prediction", "kernel_id": "15323397"}, {"ref": "nikitakudriashov/top-1-titanic-solution", "kernel_id": "15406305"}, {"ref": "heisenberg196/titanic", "kernel_id": "15910691"}, {"ref": "iralivshits/notebookaf8e36f410", "kernel_id": "15390564"}, {"ref": "pavantiwari/titanic-disaster-predict", "kernel_id": "15547973"}, {"ref": "jawwadhaider/notebook95248cdfe9", "kernel_id": "15544491"}, {"ref": "rinten/titanic", "kernel_id": "15227347"}, {"ref": "alexxxm/titanic-random-forest", "kernel_id": "15217321"}, {"ref": "choubane/titanic-filling-missing-values-with-ml", "kernel_id": "15495605"}, {"ref": "gaddalayniteshindia/titanic-eda", "kernel_id": "15367219"}, {"ref": "zoubrator/titanic-top-17", "kernel_id": "15893508"}, {"ref": "karthikeya14/titanic-beginner-notebook", "kernel_id": "15276447"}, {"ref": "arjun3154/titanic-data-set", "kernel_id": "15230756"}, {"ref": "aliaxeisemenchukov/titanic", "kernel_id": "15757293"}, {"ref": "dharana23/titanic-survival", "kernel_id": "15150612"}, {"ref": "christalee/titanic", "kernel_id": "15137565"}, {"ref": "seb001/titanic-age-model-nn", "kernel_id": "15548702"}, {"ref": "rakeshchokan19/titanic", "kernel_id": "15032882"}, {"ref": "elifkarac/titanic-eda", "kernel_id": "15513082"}, {"ref": "haseebanwaar/project-titanic", "kernel_id": "15887203"}, {"ref": "haseebanwaar/keras-neural-networks", "kernel_id": "15942681"}, {"ref": "gyanbahadurmagar/titanic-solution-random-forest", "kernel_id": "15807688"}, {"ref": "myounghunseo/titanic-first-kaggle", "kernel_id": "15534446"}, {"ref": "myounghunseo/titanic-data-science-solutions-typing", "kernel_id": "15632404"}, {"ref": "michalgutowski/my-titanic-notebook", "kernel_id": "15075600"}, {"ref": "arsenismagilov/arsen-first", "kernel_id": "15306158"}, {"ref": "sudiptarudra/notebook5f7aae94a5", "kernel_id": "15592855"}, {"ref": "anaclaricerezende/titanic-top-7-beedata", "kernel_id": "15614189"}, {"ref": "jeffrey98/first-try-using-columntransformer-and-svc", "kernel_id": "15278954"}, {"ref": "abdullahhosam/titanic-logistics-regression", "kernel_id": "15354332"}, {"ref": "kimjunhyeon/eda-to-prediction-dietanic-junhyeon", "kernel_id": "15334931"}, {"ref": "ashishdas09/titanic-eda", "kernel_id": "15144693"}, {"ref": "chandramoulinaidu/titanic-stackingclassifier-max-accuracy-0-85", "kernel_id": "15397721"}, {"ref": "garimabansal/titanic-disaster", "kernel_id": "15114627"}, {"ref": "skydevour/titanic-beginning-1-0-98", "kernel_id": "15056943"}, {"ref": "armanibadboy/notebook4e263f3961", "kernel_id": "15984650"}, {"ref": "linasy/titanic-solution-a-beginner-s-guide-russian", "kernel_id": "15949643"}, {"ref": "anandpol/exploratory-data-analysis-eda-titanic-dataset", "kernel_id": "15686448"}, {"ref": "sunaysawant/theory-behind-titanic-disaster-top-4", "kernel_id": "15309599"}, {"ref": "wangyuren/titanic-survival", "kernel_id": "15788185"}, {"ref": "jackday0/titanic-survival-prediction", "kernel_id": "15080228"}, {"ref": "sourabhy/titanic-feature-engineering-different-models", "kernel_id": "15762622"}, {"ref": "sanketsz/titanic-using-cnn-and-random-forest", "kernel_id": "15244018"}, {"ref": "himanshukumarsharma/titanic-drive", "kernel_id": "15529973"}, {"ref": "sammuelramosdasilva/titanic-i-tried-my-best", "kernel_id": "15964801"}, {"ref": "kevinastudillo/titanic-machine-learning-exercise", "kernel_id": "15818007"}, {"ref": "igalbronshtein/titanic-styling-pandas-dataframe", "kernel_id": "15285385"}, {"ref": "igalbronshtein/titanic-embarked-column-imputation-c-vs-s", "kernel_id": "15305387"}, {"ref": "makarandm/titanic-survival-prediction-with-svm", "kernel_id": "15218571"}, {"ref": "aparna49/titanic", "kernel_id": "15779777"}, {"ref": "ecembkr/ecembekartitaniceda", "kernel_id": "15888473"}, {"ref": "xevator/notebookc57bf53ea1", "kernel_id": "15408257"}, {"ref": "kennethleeje8/titanic-project-example", "kernel_id": "15798867"}, {"ref": "kennethleeje8/titanic-project", "kernel_id": "15775496"}, {"ref": "blackmoffy/moffy-s-titanic", "kernel_id": "15467620"}, {"ref": "galihbagus/titanic-dataset-notebook", "kernel_id": "15823552"}, {"ref": "ryanferreira/titanic-by-myself", "kernel_id": "15772953"}, {"ref": "elvanselvano/introduction-to-catboost", "kernel_id": "15225421"}, {"ref": "jaysueno/titanic-comp", "kernel_id": "15302188"}, {"ref": "shibaprasadb/titanic-ml-from-disaster-with-random-forrest-in-r", "kernel_id": "15411184"}, {"ref": "mohamedhassanali/titanic-solution-beginners-friendly", "kernel_id": "15979715"}, {"ref": "igorkruglov/simple-sklearn-titanic", "kernel_id": "15181351"}, {"ref": "aroopjosy/titanic-competition", "kernel_id": "15205791"}, {"ref": "aroopjosy/tittanic", "kernel_id": "15470407"}, {"ref": "kidnarcissus/finetune-bert-for-titanic", "kernel_id": "15322042"}, {"ref": "kidnarcissus/titanic-nn-test", "kernel_id": "15426326"}, {"ref": "kostasmar/titanic-beginners-solutions-logisticregression", "kernel_id": "15773642"}, {"ref": "mingleisong/titanic-autogluon", "kernel_id": "15293035"}, {"ref": "beinghasnain16/getting-started-with-titanic", "kernel_id": "15715100"}, {"ref": "kirillrazumov/titanic", "kernel_id": "15494551"}, {"ref": "davincermak/exploring-titanic-models-in-r", "kernel_id": "15021241"}, {"ref": "hariwh0/titanic-with-featuretools", "kernel_id": "15153201"}, {"ref": "hariwh0/titanic-with-tpot", "kernel_id": "15225077"}, {"ref": "polmarinm/my-personal-titanic-approach", "kernel_id": "15078745"}, {"ref": "christopherwsmith/tabular-playground-series-april", "kernel_id": "15967709"}, {"ref": "amartya92/titanic-baseline", "kernel_id": "15352584"}, {"ref": "maxskoryk/titanic-survival-prediction", "kernel_id": "15792164"}, {"ref": "muhardianabasandi/titanic-data-gridsearchcv", "kernel_id": "15937384"}, {"ref": "mikhailkuzmenkov/titanic-classification-with-ensemble", "kernel_id": "15475320"}, {"ref": "notbruno/first-ml-kaggle-problem", "kernel_id": "15633153"}, {"ref": "edwincheteni/titanic-machine-learning-from-disaster", "kernel_id": "15251931"}, {"ref": "sidharthkriplani/titanic", "kernel_id": "15815288"}, {"ref": "mariyatimeryaeva/train-titanic-v1", "kernel_id": "15784154"}, {"ref": "iyadali/titanic", "kernel_id": "15962711"}, {"ref": "shubhamshekharmishra/mytitanicprediction", "kernel_id": "15640718"}, {"ref": "yohannesmelese/ml-club-tut-1", "kernel_id": "15152540"}, {"ref": "syalabiseet/xgboost-titanic-top-2-accuracy-98-8", "kernel_id": "15078179"}, {"ref": "giseokryu/titanic-using-pipeline-gridsearchcv", "kernel_id": "15037141"}, {"ref": "anasalyan/scikitlearn-ml-from-start-to-finish", "kernel_id": "15204735"}, {"ref": "merchanyan/titanic-note", "kernel_id": "15400147"}, {"ref": "namanchib/titanic", "kernel_id": "15212036"}, {"ref": "vijayakishoredusi/notebook-creation-from-direct-link", "kernel_id": "15382437"}, {"ref": "dipendrasingh100/titanic-disaster", "kernel_id": "15335234"}, {"ref": "bansalritu/logistic-regression-1", "kernel_id": "15595321"}, {"ref": "danielebaldoni/titanic-new", "kernel_id": "15542304"}, {"ref": "danielebaldoni/3rd-version", "kernel_id": "15491373"}, {"ref": "danielebaldoni/eda-voting-classifier", "kernel_id": "15490217"}, {"ref": "nurulaminrobin/titanic-new", "kernel_id": "15113406"}, {"ref": "nurulaminrobin/titanic-tutorial", "kernel_id": "15113398"}, {"ref": "luqmonafolabirasaq/lukmon-titanic-kaggle-project", "kernel_id": "15574322"}, {"ref": "sifonsoul/madmo-16-03-21", "kernel_id": "15561323"}, {"ref": "sifonsoul/introduction-to-decision-trees", "kernel_id": "15721907"}, {"ref": "rohanmandrekar/titanic", "kernel_id": "15073976"}, {"ref": "lerekoqholosha/titanic-eda-wrangling-imputation", "kernel_id": "15656391"}, {"ref": "lerekoqholosha/titanic-random-forest-grid-search", "kernel_id": "15972386"}, {"ref": "helpingstar/notebook23ae13af12", "kernel_id": "15344385"}, {"ref": "hungnguyenhvn/titanic-survival-my-kaggle-helloworld-completed", "kernel_id": "15049921"}, {"ref": "sidharth178/titanic-hyperparameter-tuning-90-accuracy", "kernel_id": "15797046"}, {"ref": "zahraalidadi75/titanic-survival-plan", "kernel_id": "15554166"}, {"ref": "nitishg19/titanic-data-in-neural-net-with-adam-as-optimiser", "kernel_id": "15896340"}, {"ref": "prathyusham/titanic-eda-predictions", "kernel_id": "15979971"}, {"ref": "krystianwicherek/titanic-prediction-top-7", "kernel_id": "15807208"}, {"ref": "radtkede/titanic-basic-xgb", "kernel_id": "15160241"}, {"ref": "mantasu/top-1-simplest-ensemble-69-works", "kernel_id": "15154578"}, {"ref": "joshuahampson/predicting-passenger-outcomes-on-the-titanic", "kernel_id": "15328121"}, {"ref": "ayakokawano/titanic-6-classifiers-gridsearch-accuracy-0-78947", "kernel_id": "15688754"}, {"ref": "priyank0101/survival-prediction-randomforest-for-beginners", "kernel_id": "15421625"}, {"ref": "sarramullen/titanic-classification-logistic-regression", "kernel_id": "15572818"}, {"ref": "sarramullen/titanic-classification-a-regression-story", "kernel_id": "15572788"}, {"ref": "yoganandhareddygali/titanic-surviaval-prediction", "kernel_id": "15090430"}, {"ref": "chalakprogrammer/cnn-titanic-data", "kernel_id": "15553400"}, {"ref": "zeynepsivri/titanic-random-forest", "kernel_id": "15151867"}, {"ref": "kasatkinvl/scikit-learn-rf-titanic", "kernel_id": "15196444"}, {"ref": "adesmiarti/eda-of-titanic-dataset", "kernel_id": "15611495"}, {"ref": "kukeshk/titanic", "kernel_id": "15697498"}, {"ref": "boudehoucherahma/titanic", "kernel_id": "15045909"}, {"ref": "dillonmarquard/titanic-random-forest-xgboost", "kernel_id": "15199680"}, {"ref": "rutailiu/titanic-ml-project", "kernel_id": "15464336"}, {"ref": "kektyc/titanic-solution-a-beginner-s-guide-russian", "kernel_id": "15938575"}, {"ref": "aliokul/titanic-prediction-my-first-kernel", "kernel_id": "15446669"}, {"ref": "csponkoj/titanic-survival-prediction", "kernel_id": "15594959"}, {"ref": "aipi12/top-4-approach-with-randomforest", "kernel_id": "15541784"}, {"ref": "pashasherst/random-forest-titanic", "kernel_id": "15295761"}, {"ref": "agnesme/titanic", "kernel_id": "15542991"}, {"ref": "jphorrigan/titanicml", "kernel_id": "15175879"}, {"ref": "amlanmohanty1/titanic-vs-ice-berg-top-5-solution", "kernel_id": "15260721"}, {"ref": "sourabmangrulkar/titanicchallengegettingstartednotebook", "kernel_id": "15073112"}, {"ref": "kelde9/titanic-dataset-with-decision-tree", "kernel_id": "15495110"}, {"ref": "ashutoshchaudhary95/notebook64334507ae", "kernel_id": "15383844"}, {"ref": "yonatanrabinovich/titanic-dsc-project-score-0-78229", "kernel_id": "15828946"}, {"ref": "shreyaout/titanic", "kernel_id": "15366963"}, {"ref": "idalen/titanic-beedata", "kernel_id": "15967807"}, {"ref": "ismikhail/titanic-top-solution", "kernel_id": "15082072"}, {"ref": "treasury75/titanic-solution-random-forest", "kernel_id": "15207009"}, {"ref": "elifkaraktk/exploratory-data-analysis-eda-titanic-dataset", "kernel_id": "15427647"}, {"ref": "borislavnovikov1/titanic-randomforest", "kernel_id": "15020824"}, {"ref": "krithikk/notebook428be004cd", "kernel_id": "15030622"}, {"ref": "masahikosekibe/fork-of-notebook768c35c0c7", "kernel_id": "15823926"}, {"ref": "fatihbaytar/titanic", "kernel_id": "15827354"}, {"ref": "elirettere/titanic-forever", "kernel_id": "15459936"}, {"ref": "rajeevkumar244/project-4", "kernel_id": "15866355"}, {"ref": "suhruthyambakam/exploring-the-training-data", "kernel_id": "15131830"}, {"ref": "suhruthyambakam/who-survived-in-titanic", "kernel_id": "15186015"}, {"ref": "alekseyromanovich/titanic-solution-based-on-kaggle-micro-courses", "kernel_id": "15781183"}, {"ref": "ryanchogan/titanic", "kernel_id": "15459939"}, {"ref": "kadirkaya28/titanic-eda-basic-ml", "kernel_id": "15494251"}, {"ref": "dantem/getting-started-with-titanic", "kernel_id": "15756662"}, {"ref": "vikramjeetsinghs/notebook9cc1166e02", "kernel_id": "15710885"}, {"ref": "franvaluch/pycaret-titanic-79", "kernel_id": "15457982"}, {"ref": "alperenspr/python-101", "kernel_id": "15575634"}, {"ref": "ardatiryaki/titanic", "kernel_id": "15164116"}, {"ref": "shyorn/titanic", "kernel_id": "15016316"}, {"ref": "adi0967/titanic-survival-prediction", "kernel_id": "15173187"}, {"ref": "adityashukla1/titanic-ml", "kernel_id": "15173169"}, {"ref": "halenurbulgu/titanic-randomforest", "kernel_id": "15201089"}, {"ref": "jeongbinpark/titanic-eda-and-predict-survival-by-decisiontree", "kernel_id": "15158004"}, {"ref": "umarkholdarbekov/titanic-survival-prediction", "kernel_id": "15429733"}, {"ref": "kwongwu/titanic", "kernel_id": "15797639"}, {"ref": "rishee/titanic-with-xgb", "kernel_id": "15322299"}, {"ref": "ryokito/titanic-ex", "kernel_id": "15756951"}, {"ref": "henryoxley/titanic-assignment", "kernel_id": "15015319"}, {"ref": "prajaktawaikar/fork-of-titanic-survival-prediction", "kernel_id": "15090624"}, {"ref": "ashwinitrale/my-first-dm-excercise", "kernel_id": "15047621"}, {"ref": "prashantkr2k/titanic-dataset-analysis", "kernel_id": "15075163"}, {"ref": "feranmidere/titanic-binary-classification", "kernel_id": "15458309"}, {"ref": "leewevml/titanic", "kernel_id": "15710280"}, {"ref": "yshiml/titanic-lgb-xgb-logreg", "kernel_id": "15606307"}, {"ref": "afsanehm/titanic-a-step-by-step-tutorial", "kernel_id": "15542335"}, {"ref": "rgagavr/lightgbm-and-hyperparameter-tuning", "kernel_id": "15384417"}, {"ref": "mirabirhossain/my-first-kaggle-project-titanic-dataset", "kernel_id": "15361553"}, {"ref": "petrslamnk/titanic", "kernel_id": "15179201"}, {"ref": "sarahgonzalez/notebookdbd9537dc6", "kernel_id": "15260615"}, {"ref": "nageshmarshivane/titanic-tutorial", "kernel_id": "15089278"}, {"ref": "kurbaniyaz/titanic-prediction", "kernel_id": "15901258"}, {"ref": "madhanfaris/titanic-passengers-prediction", "kernel_id": "15340753"}, {"ref": "tpycrystal/notebook06a3de51a8", "kernel_id": "15296356"}, {"ref": "nalihuiyoulantian/titanic-ml-project", "kernel_id": "15524869"}, {"ref": "mostafafathy4869/fast-titanic-submission-0-75358-score", "kernel_id": "15655017"}, {"ref": "benjaminashley/titanic-data-analytics-python", "kernel_id": "15855067"}, {"ref": "fatihseker/notebook1544623140", "kernel_id": "15873590"}, {"ref": "rohitjagirdar/getting-started-with-titanic", "kernel_id": "15781858"}, {"ref": "junhonglee/team-1222", "kernel_id": "15483738"}, {"ref": "janus1337/titanic-my-first-data-science-project", "kernel_id": "15324646"}, {"ref": "mayuneko/titanic-surviver-analysis", "kernel_id": "15857179"}, {"ref": "annagabrielac/titanic-anna-e-antonio", "kernel_id": "15666251"}, {"ref": "jayjayjung/my-submission-20210401", "kernel_id": "15944486"}, {"ref": "sarppp/titanic-prediction", "kernel_id": "15917684"}, {"ref": "nishita17/titanic", "kernel_id": "15769981"}, {"ref": "emilianopadilla/titanic-python", "kernel_id": "15116430"}, {"ref": "binyu2020/randomforesttest", "kernel_id": "15588015"}, {"ref": "kashmirabhake/simple-linear-regression-for-beginners-using-stats", "kernel_id": "15738882"}, {"ref": "datawalex/notebook9b19cf1649", "kernel_id": "15786745"}, {"ref": "narnavaramdilipkumar/dataiteam-titanic-eda", "kernel_id": "15337848"}, {"ref": "rogeriochinen/titanic-kaggle-competition-rogerio-chinen", "kernel_id": "15108298"}, {"ref": "gilmm7/titanic-data-science-solutions", "kernel_id": "15615999"}, {"ref": "gaetanlopez/how-to-make-clean-visualizations", "kernel_id": "15704037"}, {"ref": "xholisilemantshongo/data-science-best-practices-with-r", "kernel_id": "15151098"}, {"ref": "mgen2020/titanic", "kernel_id": "15556054"}, {"ref": "qalbunsalim/titanic-a-complete-beginner-s-guide", "kernel_id": "15637594"}, {"ref": "muhmin/getting-started-with-titanic", "kernel_id": "15252122"}, {"ref": "jameskelvin101/titanic-first-model", "kernel_id": "15438675"}, {"ref": "vinayprasad29/titanic-in-depth", "kernel_id": "15604333"}, {"ref": "sungjinhongd/tensorflow-24", "kernel_id": "15805012"}, {"ref": "utkarshjain2001/teetanik", "kernel_id": "15285543"}, {"ref": "rookgordon/getting-started-with-titanic-top-13", "kernel_id": "15401505"}, {"ref": "mavibirdesmi/titanic-machine-learning-from-disaster-notebook", "kernel_id": "15011388"}, {"ref": "alexo22/simple-but-solid-neural-network-for-top-10-result", "kernel_id": "15242731"}, {"ref": "arrony/titanic-disaster", "kernel_id": "15853132"}, {"ref": "xenodium/titanic", "kernel_id": "15718106"}, {"ref": "alicanakgun/titanic-prediction", "kernel_id": "15670485"}, {"ref": "aryakrishnanar/titanic-top-4-approach-with-randomforest", "kernel_id": "15744704"}, {"ref": "allisondulin/decisiontree", "kernel_id": "15678095"}, {"ref": "nitint12/titanic-disaster-machine-learning", "kernel_id": "15215969"}, {"ref": "erdemkaraahin/titanic-project-w-spark", "kernel_id": "15329748"}, {"ref": "guveneyupcan/titanic-predict", "kernel_id": "15533608"}, {"ref": "manishakumari11/notebookd6263cecea", "kernel_id": "15102785"}, {"ref": "burmistrovig/mltitanic-2021", "kernel_id": "15530881"}, {"ref": "avinash1229/titainic-data", "kernel_id": "15338939"}, {"ref": "soumyajt/titanic-1st-try", "kernel_id": "15207256"}, {"ref": "abdelmenamtarek/titanic-prediction", "kernel_id": "15199133"}, {"ref": "chinzhang/top5-0-79904-a-new-idea", "kernel_id": "15273733"}, {"ref": "deekshapriya/titanic-survival", "kernel_id": "15434594"}, {"ref": "enstit/titanic-competition", "kernel_id": "15209608"}, {"ref": "abdulaziz04/titanicsurival-using-mulitple-ml-models", "kernel_id": "15153248"}, {"ref": "connecttarun/workingversion-101", "kernel_id": "15074496"}, {"ref": "muhammaddaniyal214/easiest-way-titanic-machine-learning", "kernel_id": "15034492"}, {"ref": "chihongyuen/svm-approach-with-gridsearchcv-and-learning-curve", "kernel_id": "15315581"}, {"ref": "nanoneko/titanic-eda-lgbm", "kernel_id": "15663718"}, {"ref": "farhank1221/titanic-competetion", "kernel_id": "15224356"}, {"ref": "kwadwoofosu/titianic-notebook", "kernel_id": "15498837"}, {"ref": "abuzersahin/logisticregression", "kernel_id": "15305415"}, {"ref": "abuzersahin/visualization-of-titanic-dataset", "kernel_id": "15201889"}, {"ref": "raphagodoy/titanic-challenge", "kernel_id": "15719423"}, {"ref": "alexkoshchii/top-7-titanic-dataset-notebook", "kernel_id": "15631516"}, {"ref": "muhammadwaqargul/titanic-using-keras-deep-learning", "kernel_id": "15899454"}, {"ref": "ibrahimrrz/classification-titanic-survivals", "kernel_id": "15217998"}, {"ref": "rahulmish/titanic-by-logistic-regression-in-an-easy-way", "kernel_id": "15427993"}, {"ref": "xaek1907/titanic-xgboost", "kernel_id": "15100835"}, {"ref": "vickyprasanna/titanic-project", "kernel_id": "15017426"}, {"ref": "amoghanamannavar/titanic-data-classification", "kernel_id": "15492492"}, {"ref": "murattademir/titanic-dataset-competition-solutions", "kernel_id": "15856665"}, {"ref": "mohammedwassimbench/titanic-first-steps", "kernel_id": "15463646"}, {"ref": "sainiamit/titatic-machine-learning", "kernel_id": "15100285"}, {"ref": "robertosancho/lr-titanic-disaster", "kernel_id": "15864538"}, {"ref": "sneharaveendran/titanic-solution-random-forest", "kernel_id": "15206889"}, {"ref": "tanyachoudhary/titanic-gaussian", "kernel_id": "15530090"}, {"ref": "ramevaf/titanic-competition", "kernel_id": "15324543"}, {"ref": "correaswebert/titanic-dataset", "kernel_id": "15464411"}, {"ref": "leonardonogueira/titanic-submission-v-08", "kernel_id": "15789543"}, {"ref": "pushpitkumar/titanic-with-random-forest", "kernel_id": "15640833"}, {"ref": "kk2021/titanic-who-survived", "kernel_id": "15236514"}, {"ref": "kennydevarapalli/titanic-survival-prediction-with-detailed-comment", "kernel_id": "15629175"}, {"ref": "alekseikaravaev/titanic-randomforest", "kernel_id": "15344970"}, {"ref": "ariwansrisetya/titanic-knn", "kernel_id": "15443860"}, {"ref": "ariwansrisetya/knn-from-scratch", "kernel_id": "15740864"}, {"ref": "darkeagle101/titanic-dataset", "kernel_id": "15375290"}, {"ref": "ninotomo/notebook-titanic-lightgbm", "kernel_id": "15293349"}, {"ref": "muhammadmuzammil196/titanic-project-for-begineers", "kernel_id": "15018951"}, {"ref": "zelihasa/titanic-project", "kernel_id": "15030549"}, {"ref": "axelborget/titanic-final", "kernel_id": "15530673"}, {"ref": "jcy1996/titanic-survivor-prediction-summary-ver", "kernel_id": "15596559"}, {"ref": "sufyansadiq/eda-on-titanic-dataset", "kernel_id": "15442634"}, {"ref": "ishisakitaiki/titanic-modeling", "kernel_id": "15335110"}, {"ref": "aylinylmaz/titanic-eda-analysis", "kernel_id": "15251642"}, {"ref": "eduardakhmetshin/homework-3", "kernel_id": "15175497"}, {"ref": "notasval/notebook4c97cf049c", "kernel_id": "15527407"}, {"ref": "guillaumegouy/notebookc2f1ada905", "kernel_id": "15413588"}, {"ref": "sihwanyoon/my-first-notebook-go-with-me", "kernel_id": "15345947"}, {"ref": "lenkadontov/titanic-lr-nn-decision-trees-voting-83-2", "kernel_id": "15611029"}, {"ref": "evansong1220/random-forest-syf", "kernel_id": "15939415"}, {"ref": "katsutoshiamano/titanic-2-selecting-a-model", "kernel_id": "15375383"}, {"ref": "katsutoshiamano/titanic-3-feature-engineering", "kernel_id": "15372387"}, {"ref": "katsutoshiamano/titanic-1-exploratory-data-analysis-eda", "kernel_id": "15316414"}, {"ref": "katsutoshiamano/titanic-4-hyperparameter-tuning", "kernel_id": "15972072"}, {"ref": "katsutoshiamano/titanic-5-ensembling", "kernel_id": "15972434"}, {"ref": "williamjhugh3s/titanic", "kernel_id": "15643141"}, {"ref": "kylewa/titaniccomp", "kernel_id": "15749471"}, {"ref": "isaacarnall/100502540-titanic-notebook", "kernel_id": "15437396"}, {"ref": "roysouravcu/xgboost-in-titanic-competition-guide", "kernel_id": "15247295"}, {"ref": "lacieemai/notebook72f527e74a", "kernel_id": "15218694"}, {"ref": "carlosbinodesouza/trabalho-titanic-carlos-bino", "kernel_id": "15822166"}, {"ref": "mariannakaravangeli/titanic-knn", "kernel_id": "15564443"}, {"ref": "wezimulenga/titanic-project-example", "kernel_id": "15321500"}, {"ref": "tarunsivasai/getting-started-with-ml", "kernel_id": "15534276"}, {"ref": "harshpatel66/getting-started-with-titanic", "kernel_id": "15207371"}, {"ref": "abdelrahmanelrawy/titanic-competition", "kernel_id": "15962338"}, {"ref": "hareem23/titanic-disaster-prediction", "kernel_id": "15210751"}, {"ref": "vadimchibisov/titanic-machine-learning", "kernel_id": "15165508"}, {"ref": "jeonggihong/titanic-tutorial-for-beginner", "kernel_id": "15756425"}, {"ref": "maxreis/titanic-dataset-eda-with-pandas-profiling", "kernel_id": "15931462"}, {"ref": "maxreis/titanic-submission-with-h2o", "kernel_id": "15949524"}, {"ref": "volkankarakus/titanic-data-science-solutions", "kernel_id": "15117377"}, {"ref": "ryanbennett12/titanic-eda-final", "kernel_id": "15476448"}, {"ref": "fyenneyenn/r-mlr-xgb", "kernel_id": "15197789"}, {"ref": "tanishaj225/titanic-solution-random-forest", "kernel_id": "15245816"}, {"ref": "imtiazkhan0417/titanic-predictions-by-imtiaz", "kernel_id": "15149509"}, {"ref": "keeganharkavy/getting-started-with-titanic-keegan-harkavy", "kernel_id": "15233333"}, {"ref": "orlandoroof/titanic", "kernel_id": "15252073"}, {"ref": "charlesmazzei/famously-bad-titanic-model-charlie-m", "kernel_id": "15234800"}, {"ref": "labeebalam/titanic-labeeb-alam-2", "kernel_id": "15938436"}, {"ref": "jessevu/jesse-v-final-submission", "kernel_id": "15293070"}, {"ref": "esippel22/elijah-sippel-final-entry", "kernel_id": "15245320"}, {"ref": "welvet/titanic-mlpclassifier", "kernel_id": "15680370"}, {"ref": "welvet/titanic-eda", "kernel_id": "15680344"}, {"ref": "andersruberg/titanic", "kernel_id": "15080502"}, {"ref": "alfianinda/getting-started", "kernel_id": "15294902"}, {"ref": "inkger/titanic-test", "kernel_id": "15042865"}, {"ref": "brendanprichards/titanic-over-80-percent-a-new-feature-added", "kernel_id": "15341360"}, {"ref": "ostappanchak/lab3ml", "kernel_id": "15304410"}, {"ref": "anhdangquy/top-4-kaggle-basic-ml-model-and-pipeline", "kernel_id": "15536553"}, {"ref": "elizabethmena2/titanic-survival-predictions", "kernel_id": "15121342"}, {"ref": "vishwanaik/titanicdataset", "kernel_id": "15137093"}, {"ref": "guillaumeensc/notebook-titanic-g", "kernel_id": "15533697"}, {"ref": "shravyashetty2710/titanic-shravya", "kernel_id": "15430373"}, {"ref": "gimaoki/titanic-keras-feature-columns", "kernel_id": "15100267"}, {"ref": "evankurpiewski/titanic-start", "kernel_id": "15459879"}, {"ref": "blythelayne/titanic-blythe", "kernel_id": "15459940"}, {"ref": "ethancook/475-titanic", "kernel_id": "15461428"}, {"ref": "abdulrafaymohammed/titanic", "kernel_id": "15096540"}, {"ref": "viktorpavuk/titanic-random-forest", "kernel_id": "15939256"}, {"ref": "aastha99/titanic-survival-2", "kernel_id": "15710365"}, {"ref": "aastha99/titanic-survival", "kernel_id": "15548895"}, {"ref": "vijayganesh3107/vijay-assignemnt-v2", "kernel_id": "15068635"}, {"ref": "francoagostino/titanic-prediction-project", "kernel_id": "15172646"}, {"ref": "kjayani/the-titanic-machine-learning-from-disaster", "kernel_id": "15400844"}, {"ref": "kajolmishra/getting-started-with-titanic", "kernel_id": "15098669"}, {"ref": "fathhalak/fat-h-t-tan-c-v-s", "kernel_id": "15381126"}, {"ref": "erandiranthilake/titanic-prediction-using-neural-network", "kernel_id": "15066307"}, {"ref": "erandiranthilake/kaggle-getting-started-with-titanic", "kernel_id": "15065832"}, {"ref": "traiansf/titanic", "kernel_id": "15409046"}, {"ref": "delilahrooney/titanic-using-logisticregression", "kernel_id": "15183874"}, {"ref": "oguzhandemiroz/my-first-project-xgboost", "kernel_id": "15839550"}, {"ref": "utkarshm25/feature-engineering-stacking-titanic-dataset", "kernel_id": "15962022"}, {"ref": "divtosz/getting-started-with-titanic-top-17-score", "kernel_id": "15146599"}, {"ref": "elaynejones/titanic-submission-2-19", "kernel_id": "15018496"}, {"ref": "ysfksr/titanic-ysfksr-eda", "kernel_id": "15513124"}, {"ref": "dkhotin/online-kaggle-titanic-task", "kernel_id": "15182763"}, {"ref": "abduhbani/titanic-machine-learning-on-disaster", "kernel_id": "15127044"}, {"ref": "avadhutsarmalkar/titanic-machine-learning-from-disaster", "kernel_id": "15188401"}, {"ref": "nevzatbugrahanturk/titanic-eda", "kernel_id": "15575393"}, {"ref": "ibrahimhalilsakar/titanic-eda-brhmhll", "kernel_id": "15671856"}, {"ref": "alsmithy0207/titanic-xgboost", "kernel_id": "15277186"}, {"ref": "artemya/notebooka7af3c5d9a", "kernel_id": "15380800"}, {"ref": "mvlakshman/titanic-survival", "kernel_id": "15787817"}, {"ref": "binuthomasphilip/data-science-and-machine-learning-titanic-2", "kernel_id": "15028074"}, {"ref": "abdulwaheedofficial/titanic-project-1", "kernel_id": "15267154"}, {"ref": "abdulwaheedofficial/diabetes-level", "kernel_id": "15267861"}, {"ref": "mickaelomk/titanic", "kernel_id": "15032661"}, {"ref": "animeshparikshya/titanic-solution-random-forest", "kernel_id": "15207017"}, {"ref": "smeyyemutlu/sumeyye-titanic", "kernel_id": "15572801"}, {"ref": "ivankoroshchup/titanic-score-0-77", "kernel_id": "15979850"}, {"ref": "guilawrence/my-titanic-notebook", "kernel_id": "15501210"}, {"ref": "sanaaburrows/titanic-machine-learning-model-top-14", "kernel_id": "15038882"}, {"ref": "aimevalentin/titanic-kaggle-competition", "kernel_id": "15039315"}, {"ref": "maitrinileshpatel/getting-started-v1", "kernel_id": "15069016"}, {"ref": "lavonteadams/titanic-beginners", "kernel_id": "15049588"}, {"ref": "hsnapoyraz/titanic-eda", "kernel_id": "15187284"}, {"ref": "dranshikasharma/titanic-solution-random-forest", "kernel_id": "15207087"}, {"ref": "aliramazankorkmaz/titanic-data-operations", "kernel_id": "15569155"}, {"ref": "curtisguyton/titanicdraft", "kernel_id": "15346753"}, {"ref": "seldaerol/selda-titanic-eda", "kernel_id": "15399550"}, {"ref": "sa2zoi/titanic-ml", "kernel_id": "15100616"}, {"ref": "bhavanayadavg/titanic-kaggle", "kernel_id": "15095737"}, {"ref": "marcoantonio23/titanic-survivors-with-k-nn", "kernel_id": "15182443"}, {"ref": "brendanjr/prediction", "kernel_id": "15128268"}, {"ref": "ugleplastik/notebook0daade1728", "kernel_id": "15109890"}, {"ref": "pietrogres/titanic", "kernel_id": "15116897"}, {"ref": "thekaggla/titanic-eda-predictions", "kernel_id": "15410553"}, {"ref": "tobiasgabrielkroll/titanic-tutorial", "kernel_id": "15122326"}, {"ref": "hyeonbaekim/my-first-data-analysis-for-titanic", "kernel_id": "15440448"}, {"ref": "pierrecy/notebook98c0e36d74", "kernel_id": "15138115"}, {"ref": "softiptop/titanic-competition-1", "kernel_id": "15767374"}, {"ref": "miyahayers/titanic-machine-learning", "kernel_id": "15142070"}, {"ref": "christophbartsch1/titanic-competition", "kernel_id": "15220606"}, {"ref": "nona1729/titanic-logisticregression", "kernel_id": "15153825"}, {"ref": "koseiono/titanic", "kernel_id": "15302902"}, {"ref": "watanabejun/titanic", "kernel_id": "15302898"}, {"ref": "allenbrownz/titanic-survivors", "kernel_id": "15158967"}, {"ref": "sargisiskandaryan/titanic", "kernel_id": "15749387"}, {"ref": "hugoortega/titanic-logit-regression-76-public-score", "kernel_id": "15682191"}, {"ref": "tataliaa/data-science-with-pandas", "kernel_id": "15373738"}, {"ref": "bennheinz/be-in-top-10-submissions", "kernel_id": "15180914"}, {"ref": "georgek41/georgekhdryan-cs4650-titanic", "kernel_id": "15667498"}, {"ref": "tirendazacademy/titanic-ml-competition", "kernel_id": "15591908"}, {"ref": "smartwesterner/suibian-s-notebook", "kernel_id": "15194068"}, {"ref": "vagrashd/titanic-tutorial", "kernel_id": "15194562"}, {"ref": "jordynsato/getting-started-with-titanic", "kernel_id": "15733144"}, {"ref": "zhongyuwu/titanic", "kernel_id": "15717862"}, {"ref": "claytonclark/titanic-tutorial", "kernel_id": "15776548"}, {"ref": "edaulker/titanicml", "kernel_id": "15532308"}, {"ref": "ian2038/getting-started-with-titanic", "kernel_id": "15681417"}, {"ref": "isshikishun/notebook4ed5450c3b", "kernel_id": "15557225"}, {"ref": "reversedpi/seaborn-visualisation", "kernel_id": "15252498"}, {"ref": "erickenag/titanic-enag", "kernel_id": "15258454"}, {"ref": "elassriyoussef/titanic", "kernel_id": "15278476"}, {"ref": "ryanguidry/getting-started-with-titanic", "kernel_id": "15771426"}, {"ref": "erimdoan/titanic-eda", "kernel_id": "15857410"}, {"ref": "andremitri/titanic-competition-derretedores-de-iceberg", "kernel_id": "15922576"}, {"ref": "giatro/top-5-solution-derretedores-de-iceberg", "kernel_id": "15592546"}, {"ref": "macacasilenus/titanic-random-forest", "kernel_id": "15293285"}, {"ref": "shinyasaito1231/notebook-saitoshinya-titanic", "kernel_id": "15587029"}, {"ref": "seokhwanpark/notebookef20a7675f", "kernel_id": "15386694"}, {"ref": "raysunwhut/raysunwhut-first-work", "kernel_id": "15301893"}, {"ref": "sh0wmaker/simple-detailed-ml-randomforest-for-beginners", "kernel_id": "15410961"}, {"ref": "sh0wmaker/easiest-datailed-eda-for-beginners", "kernel_id": "15373036"}, {"ref": "sh0wmaker/titanic-only-notebook-you-need-top-2-ongoing", "kernel_id": "15355025"}, {"ref": "sh0wmaker/eda-feature-engineering-modeling", "kernel_id": "15610921"}, {"ref": "sh0wmaker/guide-to-feature-analysis-ensemble-modeling", "kernel_id": "15647993"}, {"ref": "aoifukushima/notebook69720a1e7f", "kernel_id": "15545630"}, {"ref": "ryosukeoshima/titanic-3-1", "kernel_id": "15476450"}, {"ref": "vigneshganesh6108/notebook8996442f75", "kernel_id": "15640445"}, {"ref": "hedygriggs/new-test", "kernel_id": "15741174"}, {"ref": "taylanmerttonka/first-xgboost-randomizedsearchcv-project-76-4", "kernel_id": "15334518"}, {"ref": "taylanmerttonka/randomforest-gridsearchcv-accuracy-0-85", "kernel_id": "15369472"}, {"ref": "mohammedsohailabrar/titanic-survived-prediction", "kernel_id": "15851655"}, {"ref": "jonasmaria/titanic", "kernel_id": "15347490"}, {"ref": "maxlutz09/titanic-full-eda-ml-workflow-top-2", "kernel_id": "15350455"}, {"ref": "mdmunimulhasanpranto/titanic-top-17-7th-april-2021", "kernel_id": "15978345"}, {"ref": "ofs0120/ofs-titanic-eda", "kernel_id": "15509384"}, {"ref": "mohansai2811/submissio-n1", "kernel_id": "15635222"}, {"ref": "smita23101997/titanic-data", "kernel_id": "15393490"}, {"ref": "arturopan/titanic-project", "kernel_id": "15799247"}, {"ref": "pritampatil004/titanic-survival-prediction", "kernel_id": "15847937"}, {"ref": "chanholee275/titanic-classification", "kernel_id": "15528616"}, {"ref": "jenskroemer/titanic-try", "kernel_id": "15958766"}, {"ref": "dextermoyo/titanic-assesment-100495415", "kernel_id": "15415311"}, {"ref": "henriquetr/exploratory-analysis-of-titanic-train-dataset", "kernel_id": "15675825"}, {"ref": "rloyhvv/titanic-tutorial", "kernel_id": "15439384"}, {"ref": "bradleytlawson/titanic-dataset", "kernel_id": "15433949"}, {"ref": "rafetcan/titanic-eda-visualization-prediction", "kernel_id": "15449403"}, {"ref": "rafetcan/titanic-ann-prediction", "kernel_id": "15642175"}, {"ref": "ilaydadu/titanic-eda-visualization-survival-prediction", "kernel_id": "15449357"}, {"ref": "camandrews/titanic-binary-classification", "kernel_id": "15465976"}, {"ref": "zoranf/z-f-titanic", "kernel_id": "15771888"}, {"ref": "srividhyaag/titanic-predicting-survival", "kernel_id": "15769908"}, {"ref": "lorenzocarito/titanic-challenge", "kernel_id": "15529284"}, {"ref": "chivas1212/my-first-data-analysis-for-titanic", "kernel_id": "15529149"}, {"ref": "erayaraz/titanik-eda", "kernel_id": "15597080"}, {"ref": "elonore/notebook9896e67465", "kernel_id": "15553840"}, {"ref": "serhiitsvigun/titanic-predict", "kernel_id": "15539371"}, {"ref": "aselkarina/titanic", "kernel_id": "15557509"}, {"ref": "nikitakuzmin/titanic-answer-top", "kernel_id": "15998357"}, {"ref": "alexavsatov/titanic-prediction-v2-0", "kernel_id": "15795576"}, {"ref": "dokugaku/titanic-try", "kernel_id": "15579719"}, {"ref": "shuraboz/project-4", "kernel_id": "15843133"}, {"ref": "sleymangkhanbirkin/titanic-version1", "kernel_id": "15584215"}, {"ref": "sleymangkhanbirkin/sgb-titanic", "kernel_id": "15638060"}, {"ref": "withnaegi/titanic", "kernel_id": "15955189"}, {"ref": "lajq26/titanic-causal-analysis", "kernel_id": "15884582"}, {"ref": "lajq26/titanic-first-eda", "kernel_id": "15754689"}, {"ref": "lajq26/titanic-randomforest-gridsearch-top14", "kernel_id": "15670702"}, {"ref": "lajq26/titanic-xgboost-randomsearch", "kernel_id": "15737022"}, {"ref": "lajq26/titanic-decisiontree-gridsearch-top32", "kernel_id": "15608354"}, {"ref": "ejsdpl/first-kaggle-titanic-survivalprediction", "kernel_id": "15657657"}, {"ref": "sassywatanabe/hellokaggle", "kernel_id": "15741703"}, {"ref": "guerraguilherme/titanic-teste", "kernel_id": "15892945"}, {"ref": "himangshupan/getting-started-with-titanic", "kernel_id": "15652707"}, {"ref": "sinanenocak/my-titanic-competition-attempt", "kernel_id": "15727144"}, {"ref": "yilunsunthu/titanic-random-forest-test", "kernel_id": "15612760"}, {"ref": "caiquehonrio/titanic-time-4", "kernel_id": "15642131"}, {"ref": "harrydemalus/titanic-dataset-with-logistic-regression", "kernel_id": "15622212"}, {"ref": "tranluongbang/titanic-machine-learning-from-disaster", "kernel_id": "15904889"}, {"ref": "tankzorz86/kek-tanic", "kernel_id": "15672346"}, {"ref": "anonymousuniofderby/titanic-project-eda", "kernel_id": "15642504"}, {"ref": "saketnaik/getting-started-with-titanic", "kernel_id": "15735439"}, {"ref": "papakamis/titanic-ml-from-disaster-solution", "kernel_id": "15787362"}, {"ref": "evgensherbakov/titanic-survival-predictions-reduced-age-group", "kernel_id": "15669428"}, {"ref": "sungohpark97/starting-the-titanic", "kernel_id": "15662730"}, {"ref": "raidenxd/project-4-predicting-using-titanic", "kernel_id": "15663921"}, {"ref": "durukoak/titanicchallenge", "kernel_id": "15841604"}, {"ref": "caiofernandeslima/getting-started-with-titanic", "kernel_id": "15750830"}, {"ref": "ardavansherafat/ardavan-sherafat-titanic", "kernel_id": "15755235"}, {"ref": "alextung/notebook348e758d9d", "kernel_id": "15690415"}, {"ref": "m34nika/titanic-survival-seaborn-and-ensembles", "kernel_id": "15691289"}, {"ref": "sgneves/titanic-eda-models-benchmarking-and-tuning", "kernel_id": "15746836"}, {"ref": "yuhenglin1260/notebook71940f138c", "kernel_id": "15769802"}, {"ref": "devashishjahagirdar/titanic-dataset-with-random-forest", "kernel_id": "15734109"}, {"ref": "kevindlt/titanicpredictions", "kernel_id": "15799164"}, {"ref": "kaiwalyaharkare/titanic-data-prediction-and-modeling", "kernel_id": "15757611"}, {"ref": "dakotaeckheart/titanic-round-1", "kernel_id": "15778854"}, {"ref": "derek2233/getting-started-with-titanic", "kernel_id": "15756079"}, {"ref": "xandergilbert/titanic", "kernel_id": "15752703"}, {"ref": "farimahpirahmadi/getting-started-with-titanic", "kernel_id": "15774972"}, {"ref": "yoojunseok/notebook5db6c8745b", "kernel_id": "15759547"}, {"ref": "caroroj/titanic-solution-random-forest", "kernel_id": "15807714"}, {"ref": "danluoma/danluomatitanicnotebook", "kernel_id": "15777788"}, {"ref": "yvescavalcanti/desafio-titanic", "kernel_id": "15792015"}, {"ref": "akakkar/notebookee8fb08d3c", "kernel_id": "15796558"}, {"ref": "dani1111ellll/titanic-test", "kernel_id": "15806370"}, {"ref": "pulkitmehra/titanic-solution-random-forest", "kernel_id": "15807736"}, {"ref": "adarsh29/titanic-solution-random-forest", "kernel_id": "15807720"}, {"ref": "javidsshaikh/titanic-solution-random-forest", "kernel_id": "15807709"}, {"ref": "nethrarajesh/titanic-solution-random-forest", "kernel_id": "15807744"}, {"ref": "arjunaacharya/titanic-solution-random-forest", "kernel_id": "15807698"}, {"ref": "drzaharunnissa/titanic-solution-random-forest", "kernel_id": "15807888"}, {"ref": "legago/my-first-ml-project-adaboost-randomforest", "kernel_id": "15833902"}, {"ref": "ghksdl00/notebook7441c7fc31", "kernel_id": "15835601"}, {"ref": "saumyadabas/titanic", "kernel_id": "15992202"}, {"ref": "jpcyrino/titanic-glm", "kernel_id": "15889236"}, {"ref": "ksidharthr/notebook23dad4ac04", "kernel_id": "15891999"}, {"ref": "brunorrodrigues/titanic-tutorial", "kernel_id": "15895809"}, {"ref": "saileshpanda/titanic-competition", "kernel_id": "15962126"}, {"ref": "datafaith/titanic-competition-with-a-score-of-0-77751", "kernel_id": "15996531"}, {"ref": "parksungho95/hknu-titanic-project", "kernel_id": "15926814"}, {"ref": "kwonjinkyung/notebookfc3f803130", "kernel_id": "15914190"}, {"ref": "muskanjha/titanic-project", "kernel_id": "15998844"}, {"ref": "kimmin020/notebookf20cbeadfd", "kernel_id": "15918326"}, {"ref": "afsahahmed/ds-lab-05", "kernel_id": "15967712"}, {"ref": "g202jh/titanicexam", "kernel_id": "15943115"}, {"ref": "kwonjehan/2017250002", "kernel_id": "15939336"}, {"ref": "titanichannes/zoom-tutorial", "kernel_id": "15940215"}, {"ref": "poojita2305/titanic-survival-prediction", "kernel_id": "15942292"}, {"ref": "gopalbhattrai/random-forest-eda-hyperopt-featuretools-on-titanic", "kernel_id": "15944657"}, {"ref": "samkamau/getting-started-with-titanic", "kernel_id": "15949009"}, {"ref": "vestige/2017250024-ml-project3", "kernel_id": "15952796"}, {"ref": "iswater/ml-3-titanic", "kernel_id": "15955265"}, {"ref": "rohitbpur/rohit-titanic", "kernel_id": "15974333"}, {"ref": "chrisrobin2/titanic-solution", "kernel_id": "15986718"}, {"ref": "rakonn/a-first-shot-at-machine-learning-using-keras", "kernel_id": "15987365"}, {"ref": "alexryzhkov/lightautoml-extreme-short-titanic-solution", "kernel_id": "16130986"}, {"ref": "ruhong/14-simple-tips-to-save-ram-memory-for-1-gb-dataset", "kernel_id": "16296962"}, {"ref": "ravikishore/titanic-survival-prediction", "kernel_id": "16815137"}, {"ref": "sreenivas134/notebook2f7ae6bbf1", "kernel_id": "16868012"}, {"ref": "jorahn/jr-titanic-sklearn-ensemble", "kernel_id": "16103096"}, {"ref": "wittmannf/titanic-awari", "kernel_id": "16933127"}, {"ref": "strink/titanic-machine-learning-from-disaster-training", "kernel_id": "16262076"}, {"ref": "melchiadesblanco/titanic-death-prediction", "kernel_id": "16995647"}, {"ref": "sahilt93/titanic-eda-randomforest-gb-gridsearchcv", "kernel_id": "16028620"}, {"ref": "shahinzibaee/notebook69f0c56983", "kernel_id": "16069430"}, {"ref": "weililin/notebook767a409621", "kernel_id": "16278269"}, {"ref": "finlay/titanic-starter", "kernel_id": "16541173"}, {"ref": "ruchibahl18/getting-started-with-kaggle", "kernel_id": "16137907"}, {"ref": "manisha9608/titanic-challenge", "kernel_id": "16522927"}, {"ref": "iondrive/diagnostics-to-improve-models", "kernel_id": "16006157"}, {"ref": "domartinez992/logistic-regression-with-r", "kernel_id": "16679446"}, {"ref": "yeesunch/fork-of-titanic-framework", "kernel_id": "16200835"}, {"ref": "aayushkubba/titanic-eda", "kernel_id": "16869533"}, {"ref": "denmanorwat/titanicthirdapproach", "kernel_id": "16672834"}, {"ref": "mathanssen/titanic-all-you-need-to-know", "kernel_id": "16918720"}, {"ref": "josuerf/titanic-prediction-mojix-bootcamp", "kernel_id": "16249093"}, {"ref": "viznrvn/basic-eda-on-titanic", "kernel_id": "16307301"}, {"ref": "scatteredflo/ai-titanic-feature-engineering", "kernel_id": "16052731"}, {"ref": "scatteredflo/kihome-ans-lec4-classification-titanic", "kernel_id": "16053400"}, {"ref": "scatteredflo/ai-lec3-2-titanic-feature-engineer", "kernel_id": "16214028"}, {"ref": "joocheol/20210429", "kernel_id": "16598722"}, {"ref": "ahsenahsen/titanic", "kernel_id": "16015354"}, {"ref": "sergeykalutsky/titanic-data-visualisation-traslation", "kernel_id": "16723889"}, {"ref": "keypet1706/random-forest-classifier-on-titanic-dataset", "kernel_id": "16294016"}, {"ref": "mstkmyhr/titanic-random-forest", "kernel_id": "16330809"}, {"ref": "mstkmyhr/titanic-lightgbm", "kernel_id": "16330921"}, {"ref": "mstkmyhr/titanic-decision-tree", "kernel_id": "16329691"}, {"ref": "mstkmyhr/titanic-my-best", "kernel_id": "16352414"}, {"ref": "cjramsey/titanic-competition", "kernel_id": "16610520"}, {"ref": "pr2tik1/titanic-survival-eda-feature-engineering-preds", "kernel_id": "16449951"}, {"ref": "nrottam/titanic-notebook", "kernel_id": "16261326"}, {"ref": "davidade/titanic-data-exploration", "kernel_id": "16583946"}, {"ref": "amazinghell/exploring-survival-on-the-titanic", "kernel_id": "16800592"}, {"ref": "meenachisundaram/notebookcab0fa9a2d", "kernel_id": "16643674"}, {"ref": "mkeute/titanic-first-attempt", "kernel_id": "16127819"}, {"ref": "alichherawalla/notebookf1138ca66c", "kernel_id": "16647558"}, {"ref": "nitsin/notebook84121ae651", "kernel_id": "16288595"}, {"ref": "hajaroura/titanic-data-survived", "kernel_id": "16933635"}, {"ref": "sukruccc/titanic-bottom-3-feature-selection-with-mimic", "kernel_id": "16903337"}, {"ref": "ivantha/titanic-machine-learning-from-disaster", "kernel_id": "16659702"}, {"ref": "amha81/titanic-analysis", "kernel_id": "16906921"}, {"ref": "ilim0t14/titanic-profiling", "kernel_id": "16584836"}, {"ref": "mnthasi/210416-table-data-classic-move", "kernel_id": "16269424"}, {"ref": "ericstarmars/notebook8081de52dc", "kernel_id": "16644603"}, {"ref": "tobings/titanic-attempt-1", "kernel_id": "16101877"}, {"ref": "prawins/titanic-machinelearningfromdisaster", "kernel_id": "16678944"}, {"ref": "pranaavj/getting-started-with-titanic", "kernel_id": "16628756"}, {"ref": "itokashi/nino-pira", "kernel_id": "16102224"}, {"ref": "harshpd/titanic-prediction-of-survivors", "kernel_id": "16528114"}, {"ref": "pranjalrawat174/titanic-feature-selection-eda", "kernel_id": "16946417"}, {"ref": "anastazija/titanic-predictions-notebook-top-16", "kernel_id": "16778852"}, {"ref": "divx1979/dmtitanic1", "kernel_id": "16523599"}, {"ref": "saket7788/logistic-regression-and-random-forest-classifier", "kernel_id": "16007502"}, {"ref": "adimahamuni/titanic-survival-prediction", "kernel_id": "16974902"}, {"ref": "ocben1/titanic-assignment-04-18", "kernel_id": "16295609"}, {"ref": "mporchia/titanic-quick-walkthrough", "kernel_id": "16318667"}, {"ref": "saurabhsarkar/titanic-eda-xgboost-solution", "kernel_id": "16679290"}, {"ref": "ishaan200/eda-simple-model-top-13-0-79-accuracy", "kernel_id": "16966979"}, {"ref": "nazmiaras/titanic-eda", "kernel_id": "16153709"}, {"ref": "hiromasatabuchi/combination-of-algorithm-pipeline-and-gridsearch", "kernel_id": "16579138"}, {"ref": "adem34/titanic-bottom-3-3-terrible", "kernel_id": "16968975"}, {"ref": "aladdinss/top-18-best-eda-titanic-survival-prediction", "kernel_id": "16829470"}, {"ref": "masaonda/titanic-automl-by-autokeras", "kernel_id": "16108935"}, {"ref": "nextbigwhat/comprehensive-eda-in-just-1-line-of-code-fast-ml", "kernel_id": "16450159"}, {"ref": "qinyukun/titanic-advanced-feature-engineering-tutorial", "kernel_id": "16774520"}, {"ref": "tomkurian777/titanic-solution-of-a-beginner", "kernel_id": "16892914"}, {"ref": "cartoon11733/heart-classfier", "kernel_id": "16679945"}, {"ref": "faelk8/uncomplicated-histogram", "kernel_id": "16715526"}, {"ref": "faelk8/titanic-eda-plotly-voting-classifier", "kernel_id": "16045497"}, {"ref": "stpeteishii/titanic-non-cnn-model", "kernel_id": "16258869"}, {"ref": "stpeteishii/titanic-conv2d", "kernel_id": "16209852"}, {"ref": "stpeteishii/titanic-conv1d", "kernel_id": "16235368"}, {"ref": "subinium/how-to-use-pycaret-with-feature-engineering", "kernel_id": "16075808"}, {"ref": "amankun/titanic-data-processing-0-741", "kernel_id": "16560903"}, {"ref": "bihtert/titanic", "kernel_id": "16938836"}, {"ref": "casper06/top-13-missing-data-eda-feature-eng-prediction", "kernel_id": "16927953"}, {"ref": "sushakanaujia/survival", "kernel_id": "16607236"}, {"ref": "sushakanaujia/logistic-regression", "kernel_id": "16720463"}, {"ref": "jacekbartlewski/titanic", "kernel_id": "16679071"}, {"ref": "spraks/praks-first-competition-titanic", "kernel_id": "16519542"}, {"ref": "moajjem04/titanic-streamlit", "kernel_id": "16400509"}, {"ref": "buzziatharva/getting-started-with-titanic", "kernel_id": "16678135"}, {"ref": "bolatenesemrw/titanik-machine-learning", "kernel_id": "16314202"}, {"ref": "trancuong59196/model-interpretation-shap-lime-with-titanic-data", "kernel_id": "16941467"}, {"ref": "trancuong59196/cuongtm-explain-model-with-lime-shap", "kernel_id": "16941500"}, {"ref": "nidakapmaz/titanic-exploratory-data-analysis", "kernel_id": "16311460"}, {"ref": "shivuu1300/titanic-survivor-prediction", "kernel_id": "16197696"}, {"ref": "shambhuksharma/logistic-regression", "kernel_id": "16903650"}, {"ref": "shambhuksharma/getting-started-titanic", "kernel_id": "16874877"}, {"ref": "naokiokada/titanic-machine-learning-from-disaster", "kernel_id": "16439070"}, {"ref": "bhargavrko619/titanic-top-16", "kernel_id": "16878846"}, {"ref": "mehtapkaramanli/titanic-modeling", "kernel_id": "16024346"}, {"ref": "mpwolke/xplotter-titanic", "kernel_id": "16665261"}, {"ref": "plyger/notebook314fb78eaa", "kernel_id": "16404587"}, {"ref": "anerimehta/first-attempt", "kernel_id": "16717455"}, {"ref": "daikikatsuragawa/a-beginner-s-guide-to-evalml", "kernel_id": "16016765"}, {"ref": "daikikatsuragawa/a-beginner-s-guide-to-lightautoml", "kernel_id": "16130379"}, {"ref": "daikikatsuragawa/df4loop-makes-df-iterrows-users-happy", "kernel_id": "16976893"}, {"ref": "farisjameel/farisonkaggle", "kernel_id": "16336549"}, {"ref": "ashwani46/notebookc28477e785", "kernel_id": "16369620"}, {"ref": "punugoti/titanic-basic-solution", "kernel_id": "16950926"}, {"ref": "sureshmecad/dataprep-autoeda", "kernel_id": "16367408"}, {"ref": "sureshmecad/sweetviz-autoeda-mobile-price", "kernel_id": "16387556"}, {"ref": "sureshmecad/lux-autoeda-hr-analytics-ds", "kernel_id": "16436101"}, {"ref": "sureshmecad/evalml-automl-beginers", "kernel_id": "16578854"}, {"ref": "sureshmecad/pycaret-automl-beginers", "kernel_id": "16585446"}, {"ref": "awadhi123/data-analysis-with-pyspark", "kernel_id": "16771860"}, {"ref": "travisergodic/titanic-zero-to-hero", "kernel_id": "16390681"}, {"ref": "oreojam/titanic-machine-learning-from-disaster", "kernel_id": "16721987"}, {"ref": "harshjain123/feature-engineering-from-scratch", "kernel_id": "16718751"}, {"ref": "hassanrady/eda-modeling", "kernel_id": "16032873"}, {"ref": "yunjikim23/study-titanic-data-science-solutions", "kernel_id": "16046383"}, {"ref": "shashwat1001/titanic-dataset", "kernel_id": "16631860"}, {"ref": "lykin22/titanic-random-forest-classfier", "kernel_id": "16010791"}, {"ref": "lykin22/titanic-logistic-regression-and-random-forest", "kernel_id": "16013640"}, {"ref": "laplace8/ml-titanic-tutorial-for-study-210406", "kernel_id": "16029625"}, {"ref": "erumafzal/eda-practice", "kernel_id": "16093454"}, {"ref": "chenqiaochu/titanic-using-h2o", "kernel_id": "16328312"}, {"ref": "akafarrouk/notebook8d625524d4", "kernel_id": "16943571"}, {"ref": "gahogg/neural-network", "kernel_id": "16512934"}, {"ref": "gahogg/logistic-regression", "kernel_id": "16508706"}, {"ref": "kodamap/titanic-with-tensorflow-keras", "kernel_id": "16238412"}, {"ref": "harshsharma511/titanic-eda-visualization-top-ensemble-models", "kernel_id": "16921951"}, {"ref": "harisonmwangi/titanic-modelling", "kernel_id": "16222550"}, {"ref": "andreshg/automl-libraries-comparison", "kernel_id": "16119709"}, {"ref": "subash23/getting-started-with-titanic-subash", "kernel_id": "16293082"}, {"ref": "dongjun819/titanic-score-0-77990", "kernel_id": "16025182"}, {"ref": "mrboupp/fun-ai-2021-5-1", "kernel_id": "16644582"}, {"ref": "adenarayana/3-supervised-learning-on-titanic-dataset", "kernel_id": "16810190"}, {"ref": "jmhuertasg/titanic-amazing-modeling", "kernel_id": "16256651"}, {"ref": "jmhuertasg/notebookaee377e691", "kernel_id": "16255931"}, {"ref": "lourenswalters/ii-titanic-exploratory-data-analysis-0-80", "kernel_id": "16704990"}, {"ref": "dongdongsyo/2021-titanic", "kernel_id": "16032790"}, {"ref": "sathyaprabhu1997/titanic-prediction", "kernel_id": "16693597"}, {"ref": "jardelbaiajr/titanic-data-visualization-and-predictions-10", "kernel_id": "16268368"}, {"ref": "samsb94/titanic-survival-30-days-of-ml", "kernel_id": "16983080"}, {"ref": "yugandharshilawane/titanic", "kernel_id": "16115453"}, {"ref": "gawas2inspire/titanic-tensorflow", "kernel_id": "16723849"}, {"ref": "suchismitabh/prediction-of-survivors-for-titanic-data-set-lr", "kernel_id": "16559054"}, {"ref": "kiitosu/titanic-with-xgboost2", "kernel_id": "16667333"}, {"ref": "lit262019/titanic-randomforestclassifier", "kernel_id": "16709905"}, {"ref": "avibagul80/titanic-data-preprocessing", "kernel_id": "16612413"}, {"ref": "deepchokshi/best-machine-learning-algorithm", "kernel_id": "16881142"}, {"ref": "vipin20/titanic-prediction-eda-hyperparameter", "kernel_id": "16823693"}, {"ref": "mayankvashisht/titanic-data-predictive-logistic-model", "kernel_id": "16973442"}, {"ref": "anshigupta01/titanic-prediction-top-17", "kernel_id": "16799668"}, {"ref": "nayuts/r-guide-data-analysis-for-python-users", "kernel_id": "16361890"}, {"ref": "dmitriykorzik/titanic-prediction-model", "kernel_id": "16126638"}, {"ref": "reyanishtiaq/titanic-dl", "kernel_id": "16225112"}, {"ref": "nazarscherbiy/notebook6b83b15776", "kernel_id": "16046402"}, {"ref": "gauthamkrishnan/notebook7ebeb26562", "kernel_id": "16879737"}, {"ref": "maximknyazev/titanic-result-with-75", "kernel_id": "16004384"}, {"ref": "vislupus/tensorflow-and-ml-titanic-86-5-accuracy", "kernel_id": "16083422"}, {"ref": "ahmedsheded/titanic", "kernel_id": "16094280"}, {"ref": "mitchellodili/titanic", "kernel_id": "16477291"}, {"ref": "srikantsahoo/titanic-machine-learning-from-disaster", "kernel_id": "16999752"}, {"ref": "sanskar16/titanic", "kernel_id": "16617353"}, {"ref": "mohamedelfeky/analysis-and-modeling-for-titanic", "kernel_id": "16382302"}, {"ref": "adhiau/titanic-try1", "kernel_id": "16869245"}, {"ref": "magdawjcicka/titanic-competition", "kernel_id": "16703846"}, {"ref": "sakshaymahna/exploratorydataanalysis-titanic", "kernel_id": "16055939"}, {"ref": "sakshaymahna/machinelearning-titanic", "kernel_id": "16083690"}, {"ref": "amarloni/one-liner-visualization-code", "kernel_id": "16347038"}, {"ref": "rahulkumar234/notebookb9839291e0", "kernel_id": "16976096"}, {"ref": "brunosan2018/modelo-titanic-catboost", "kernel_id": "16640397"}, {"ref": "richardlehmann/titanic-decision-tree", "kernel_id": "16668198"}, {"ref": "richardlehmann/titanic-logistic-regression", "kernel_id": "16616516"}, {"ref": "lukelarue/simple-titanic-model", "kernel_id": "16228736"}, {"ref": "tamerlanimashev/titanic-competition", "kernel_id": "16977925"}, {"ref": "meet3010/decision-tree-on-titanic", "kernel_id": "16612396"}, {"ref": "ashrithgrandi/titanic-project-exploratory-data-analysis", "kernel_id": "16180057"}, {"ref": "bigsmile99/beginners-guide-from-eda-to-prediction-on-titanic", "kernel_id": "16014297"}, {"ref": "shyngysvadyn/titanic", "kernel_id": "16691715"}, {"ref": "mayank1101sharma/getting-started-with-titanic", "kernel_id": "16242264"}, {"ref": "anthonyyiu/titanic-six-feature-deep-learning-model", "kernel_id": "16278150"}, {"ref": "simranjain14596/titanic-problem", "kernel_id": "16013372"}, {"ref": "dvircohen0/titanic", "kernel_id": "16850161"}, {"ref": "emilyriveratovar/titanic-task-with-mlp", "kernel_id": "16633922"}, {"ref": "najzeko/titanic-xgboost-model-top-10", "kernel_id": "16539873"}, {"ref": "manojachari/notebookc8b1322a59", "kernel_id": "16387536"}, {"ref": "ahmed121ashraf131/logistic-reg", "kernel_id": "16452540"}, {"ref": "ahmed121ashraf131/logistic-regression-for-beginners", "kernel_id": "16313215"}, {"ref": "rodrigogarciasaenz/titanic-competition", "kernel_id": "16493383"}, {"ref": "kodalipoojitha/my-eda", "kernel_id": "16439323"}, {"ref": "thorrp/second-attempt", "kernel_id": "16340262"}, {"ref": "auishikpyne/titanic-tour-beginners-guideline", "kernel_id": "16400417"}, {"ref": "sauravojha/titanic-disaster-passengers-survived-prediction", "kernel_id": "16481952"}, {"ref": "prollz/titanic-kaggle-83-36-accuracy", "kernel_id": "16933194"}, {"ref": "karan2811/titanic-eda-model-selection", "kernel_id": "16753477"}, {"ref": "mdahmadjami/getting-started-with-titanic", "kernel_id": "16077549"}, {"ref": "simonedegasperis/nn-model-top-8-with-hyperparameters-opt", "kernel_id": "16940798"}, {"ref": "pangwoon/titanic-data-science-solutions", "kernel_id": "16985028"}, {"ref": "bahaayoussif/using-multi-ml-algorithm-for-titanic-problem", "kernel_id": "16045959"}, {"ref": "piotrcichacki/titanicanalysis", "kernel_id": "16487815"}, {"ref": "preetharadhakrishnan/titanic-dataset", "kernel_id": "16621713"}, {"ref": "tathagatachowdhury/titanic-ml-from-disaster", "kernel_id": "16729806"}, {"ref": "htlmm99/titanic-kaggle", "kernel_id": "16362191"}, {"ref": "kurazh/best-params-with-gridsearch-and-visualisation", "kernel_id": "16671158"}, {"ref": "ishantj/titanic-survival-problem", "kernel_id": "16370101"}, {"ref": "yanyuchen428/learn-titanic", "kernel_id": "16769520"}, {"ref": "manjilkarki/titanic", "kernel_id": "16278496"}, {"ref": "gayatriilan/simple-nn-with-python-multi-layer-perceptron", "kernel_id": "16083223"}, {"ref": "ashwinbhalerao/titanic-model", "kernel_id": "16148184"}, {"ref": "ashimaabhaya/titanic-eda-using-train-set", "kernel_id": "16076935"}, {"ref": "blackhurt/basic-modelling-for-titanic", "kernel_id": "16509724"}, {"ref": "blackhurt/my-approach-to-be-in-top2", "kernel_id": "16860704"}, {"ref": "blackhurt/my-approach-to-be-in-top-3", "kernel_id": "16817132"}, {"ref": "blackhurt/begineer-approach-to-be-in-top-5", "kernel_id": "16852496"}, {"ref": "blackhurt/notebook-for-begineer-to-get-higher-accuracy", "kernel_id": "16778700"}, {"ref": "blackhurt/using-pipeline-method-to-be-in-top-8", "kernel_id": "16637579"}, {"ref": "aryanmethil/titanic-random-forest", "kernel_id": "16725579"}, {"ref": "mariuszmackowski/titanic-pytorch", "kernel_id": "16802369"}, {"ref": "fjorencohysi1/compito", "kernel_id": "16985618"}, {"ref": "guilhermeferreira08/titanic-competition-kernel-para-apostila-nais-ia", "kernel_id": "16257623"}, {"ref": "orvindemsy/titanic-comparing-basic-model", "kernel_id": "16850267"}, {"ref": "dngnguyn1807/titanic-hyperopt", "kernel_id": "16373969"}, {"ref": "dngnguyn1807/ds-training", "kernel_id": "16935361"}, {"ref": "jamesbond00700/analysing-features-titanic-dataset", "kernel_id": "16136908"}, {"ref": "niteshyadav3103/titanic-eda-prediction-top-8", "kernel_id": "16778214"}, {"ref": "ovaizali/predicting-titanic-survival-using-decision-trees", "kernel_id": "16964228"}, {"ref": "umutardakapan/for-the-titanic-2", "kernel_id": "16380689"}, {"ref": "nayoungp/eda-to-prediction-dietanic-raymondgwangryeol-ver", "kernel_id": "16060897"}, {"ref": "vovinsa/titanic", "kernel_id": "16321311"}, {"ref": "yhirakawa/titanic-prediction-top-17", "kernel_id": "16880481"}, {"ref": "yhirakawa/titanic-by-pycaret", "kernel_id": "16425726"}, {"ref": "yhirakawa/titanic-for-all-the-beginners", "kernel_id": "16011890"}, {"ref": "arkaradeniz/titanic-cagri", "kernel_id": "16750370"}, {"ref": "abhinaykumarreddy/easy-code-for-titanic-using-pipelines-top-10", "kernel_id": "16549526"}, {"ref": "lewj98/logistic-regression-0-78-score", "kernel_id": "16921049"}, {"ref": "abdelsanea/notebook2372133ffb", "kernel_id": "16275253"}, {"ref": "aabritishrestha/titanic", "kernel_id": "16319412"}, {"ref": "cecileguillot/titanic-classification", "kernel_id": "16682322"}, {"ref": "shreyasajal/inferential-statistics-on-heart-attack-analysis", "kernel_id": "16078241"}, {"ref": "dhrumilgohel/titanic-prediction", "kernel_id": "16931035"}, {"ref": "korayyldrm/titanic-survive", "kernel_id": "16879893"}, {"ref": "rxsraghavagrawal/exploratory-data-analysis", "kernel_id": "16398914"}, {"ref": "manasdalakoti/titanic-eda", "kernel_id": "16623455"}, {"ref": "alvaromartinezbarron/titanic-ml", "kernel_id": "16846207"}, {"ref": "benjamingray44/titanic", "kernel_id": "16136812"}, {"ref": "sreyareddy15/titanic-survival", "kernel_id": "16499898"}, {"ref": "bakar31/end-to-end-classification-with-titanic-data", "kernel_id": "16971670"}, {"ref": "chawlasahil/exp14", "kernel_id": "16858597"}, {"ref": "onurkaraguler/titanic-naive-bayes", "kernel_id": "16703574"}, {"ref": "onurkaraguler/titanic-svm-support-vector-machine", "kernel_id": "16678227"}, {"ref": "onurkaraguler/titanic-decision-trees", "kernel_id": "16718337"}, {"ref": "onurkaraguler/titanic-random-forest", "kernel_id": "16766923"}, {"ref": "onurkaraguler/titanic-knn-regression", "kernel_id": "16607129"}, {"ref": "gleblevankov/titanic-dataset", "kernel_id": "16334959"}, {"ref": "mohanraj77/notebook40ce15356b", "kernel_id": "16342251"}, {"ref": "mohanraj77/notebook97415f9de1", "kernel_id": "16484969"}, {"ref": "shivankrai/notebook323711a23f", "kernel_id": "16078846"}, {"ref": "prernamishra802/onboarding-the-titanic", "kernel_id": "16440240"}, {"ref": "denisobrezkov/titanic-analysis-atempt", "kernel_id": "16489753"}, {"ref": "tommorowsengineer/prediction-using-random-forest-top-82", "kernel_id": "16848479"}, {"ref": "dhavaldudhrejia/titanic-machine-learning-from-disaster", "kernel_id": "16747924"}, {"ref": "jg12345/titanic-disaster-model-2", "kernel_id": "16002828"}, {"ref": "karansinghchaudhary/titanic-data-prediction-using-randomforest", "kernel_id": "16023191"}, {"ref": "sivasankar169/notebook4db8773ab8", "kernel_id": "16580519"}, {"ref": "parsakh/titanic-ml-algorithms-rf-84", "kernel_id": "16682180"}, {"ref": "princekrampah/titanic-competition-latest-python-syntax-top-13", "kernel_id": "16498184"}, {"ref": "danielepini/titanic-challenge-first-attempt", "kernel_id": "16812198"}, {"ref": "yujeongsik/titanic", "kernel_id": "16056430"}, {"ref": "mansidhingra/titanic-notebook-with-dtc", "kernel_id": "16653998"}, {"ref": "saurabhchandrarai/titanic-dataset", "kernel_id": "16552031"}, {"ref": "desalegngeb/plotly-guide-customize-for-better-visualizations", "kernel_id": "16074203"}, {"ref": "dsaviossantos/getting-started-with-titanic", "kernel_id": "16921978"}, {"ref": "jcpark3797/use-altair", "kernel_id": "16844891"}, {"ref": "actuaryabhishekroy/titanic-rfc-0-77990", "kernel_id": "16878476"}, {"ref": "hubertrzeminski/titanicmodel", "kernel_id": "16585256"}, {"ref": "harrschetripathi/notebookaf12379c00", "kernel_id": "16659257"}, {"ref": "deeksharai/titanic-machine-learning-prediction-top-13", "kernel_id": "16777845"}, {"ref": "lerekoqholosha/titanic-neural-network-for-beginners", "kernel_id": "16444317"}, {"ref": "acganna/titanic-first-attempt", "kernel_id": "16390481"}, {"ref": "aditiani/survive-from-titanic-using-random-forest-top-15", "kernel_id": "16642709"}, {"ref": "harshkondkar/basic-ml-titanic-disaster", "kernel_id": "16764257"}, {"ref": "marlonmoreira/titanic-beginner", "kernel_id": "16632798"}, {"ref": "shashishekhar31/titanic-data-using-logistic-regression", "kernel_id": "16021196"}, {"ref": "bretthammit/titanic-survival-ml-beginner-predictions", "kernel_id": "16024170"}, {"ref": "cooloverride/titanic", "kernel_id": "16588347"}, {"ref": "raghuramdevanur/titanicdataset-using-logisticregression", "kernel_id": "16947079"}, {"ref": "oceant/kaggle-startbook", "kernel_id": "16559141"}, {"ref": "pocooo/titanic-basic-solution-using-adaboost", "kernel_id": "16448881"}, {"ref": "mayur1992/getting-started-titanic-project", "kernel_id": "16379085"}, {"ref": "thoeer/titanic-from-data-pre-processing-perspective", "kernel_id": "16880242"}, {"ref": "alaasedeeq/predicting-the-survival-of-titanic-top-6", "kernel_id": "16142775"}, {"ref": "martinzzm/learn-titanic", "kernel_id": "16251822"}, {"ref": "jackfroster/titanic-with-feature-engineering-top-8", "kernel_id": "16869437"}, {"ref": "enesonmezx/titanic-survived-passengers", "kernel_id": "16791793"}, {"ref": "theswarlos/titanic-ml", "kernel_id": "16573213"}, {"ref": "dineshkumaranbalagan/titanic-multiple-classifier-models", "kernel_id": "16924574"}, {"ref": "sarthakbobde/titanic-survival-analysis", "kernel_id": "16771885"}, {"ref": "najamulsaqib1/prediction-with-randomforestclassifier", "kernel_id": "16835604"}, {"ref": "abhedyamishra/exploratory-data-analysis", "kernel_id": "16756197"}, {"ref": "nobodysboredom/getting-started-with-titanic", "kernel_id": "16761437"}, {"ref": "mixanyy/machine-learning-models-on-titanic-dataset", "kernel_id": "16694048"}, {"ref": "twaritshah/titanic-first-submission", "kernel_id": "16502053"}, {"ref": "satoshiimada/titanic-machine-learning-20210420-si", "kernel_id": "16345157"}, {"ref": "tjexyz/notebook5306f62853", "kernel_id": "16626840"}, {"ref": "rajarampandey/titanic-prediction-random-forest-knn", "kernel_id": "16173689"}, {"ref": "sixwater6h2o/learn-titanic", "kernel_id": "16870303"}, {"ref": "decatur/mytitanic", "kernel_id": "16696334"}, {"ref": "abhishekkavinamoole/titanic", "kernel_id": "16917116"}, {"ref": "adi282123/titanic-data-overview", "kernel_id": "16517245"}, {"ref": "adi282123/analysis-by-age-and-class", "kernel_id": "16581193"}, {"ref": "majedahalrwaily/eda-to-prediction-dietanic", "kernel_id": "16063784"}, {"ref": "akshaymanthekar/titanic-passenger-prediction", "kernel_id": "16679542"}, {"ref": "kenantrk/titanic-for-machine-learning-eda", "kernel_id": "16163835"}, {"ref": "vikassharma12911/titanic-logistic-regression", "kernel_id": "16930105"}, {"ref": "jannikkalkmann/titanic-ml-85-on-val-svm-knn-rf-and-nn", "kernel_id": "16828310"}, {"ref": "fahimmahmood/titanic-randomforest-xgboost", "kernel_id": "16229175"}, {"ref": "rawatnishant/notebook70503e4799", "kernel_id": "16928543"}, {"ref": "kamaniraj/getting-started-with-titanic", "kernel_id": "16303703"}, {"ref": "bhanwarsaini/your-first-titanic-submission", "kernel_id": "16495048"}, {"ref": "mattofaelli/titanic", "kernel_id": "16997932"}, {"ref": "lenghia2000/titanic", "kernel_id": "16984068"}, {"ref": "williamyll/titanic-machine-learning-from-disaster", "kernel_id": "16588071"}, {"ref": "trysuharso/the-best-classificationmodel-from-titanic-datasets", "kernel_id": "16689189"}, {"ref": "tylerturbenson/titanic-exploratory-data-analysis-catboost-model", "kernel_id": "16049840"}, {"ref": "shlezinger/titanic-classifier-0-7799", "kernel_id": "16014264"}, {"ref": "sudeepraju/notebookb6e68d6580", "kernel_id": "16682098"}, {"ref": "yuki1920/python-kaggle-start-book-ch02-01", "kernel_id": "16166561"}, {"ref": "nishimitakeru/titanic-autogluon", "kernel_id": "16627983"}, {"ref": "nishimitakeru/japanese-xgboost-tuning-with-optuna", "kernel_id": "16500262"}, {"ref": "shafierahim/understanding-data-science-on-titanic-01", "kernel_id": "16013276"}, {"ref": "niteshranjansingh/titanic-top-solution-which-leads-you-into-top-2", "kernel_id": "16177614"}, {"ref": "vladimirabramov/titanic-survivors-a-failed-stacked-model", "kernel_id": "16201807"}, {"ref": "sachink1729/gradient-boosting-model", "kernel_id": "16966328"}, {"ref": "lmoreno98/titanic-analisis", "kernel_id": "16381604"}, {"ref": "jauhienkaraliou/titanic-notebook", "kernel_id": "16482228"}, {"ref": "shreeramgeedh/titanicinrandomforest", "kernel_id": "16710068"}, {"ref": "eddgalligan/eda-feateng-xgboost-model-evaluations", "kernel_id": "16026488"}, {"ref": "nelsonmalgro/newbie-titanic", "kernel_id": "16921415"}, {"ref": "adnandodmani/titanic-prediction-77-6-accuracy", "kernel_id": "16031243"}, {"ref": "wrafalit/titanic-notebook", "kernel_id": "16071334"}, {"ref": "jeancarlosilva/1-mla-titanic-ml-from-disaster", "kernel_id": "16398443"}, {"ref": "samikshakolhe/twitter-airline-sentiment-nlp", "kernel_id": "16081785"}, {"ref": "arthursgonzaga/first-competition-titanic-challenge", "kernel_id": "16528675"}, {"ref": "palakmejpara/notebook1", "kernel_id": "16694021"}, {"ref": "kanitp/titanic-tour-beginners-guideline-kanit", "kernel_id": "16501222"}, {"ref": "moatassemadel/titanic-try-1", "kernel_id": "16092781"}, {"ref": "mehmetsametyuan/mehmet-samet-yu-an-titanic", "kernel_id": "16187820"}, {"ref": "satishkumar22/titanic-predicton", "kernel_id": "16846075"}, {"ref": "ahmedeladly/titanic-solution", "kernel_id": "16275375"}, {"ref": "daiyuxuan/ex2-tatanic", "kernel_id": "16161616"}, {"ref": "kalyaniavhale/titanic-survival", "kernel_id": "16990430"}, {"ref": "saharpourahmad/getting-started-with-titanic", "kernel_id": "16634228"}, {"ref": "ibtissambensaka/titanic-machine-learning-from-disaster", "kernel_id": "16110775"}, {"ref": "ksenias0022/0-78229-with-catboost", "kernel_id": "16262498"}, {"ref": "simonerossi/titanic-prediction-a-not-bad-0-79", "kernel_id": "16584030"}, {"ref": "parthhh21/titanic", "kernel_id": "16229232"}, {"ref": "charles01dev/getting-started-with-titanic", "kernel_id": "16926792"}, {"ref": "chienhsianghung/tps-apr-starter-pack-all-models", "kernel_id": "16033967"}, {"ref": "chienhsianghung/titanic-top-11-starter-ii-hyperparameter-tuning", "kernel_id": "16032126"}, {"ref": "boyilii/titanic-6", "kernel_id": "16033800"}, {"ref": "gustavokida/n-ufragos-versao-final", "kernel_id": "16375368"}, {"ref": "balajimurugan27594/titanic-survivor-prediction", "kernel_id": "16798431"}, {"ref": "balajimurugan27594/titanic-survivor-prediction-best-model-0-7799", "kernel_id": "16916109"}, {"ref": "rutujavaidya/rv-titanic", "kernel_id": "16927725"}, {"ref": "varunsimhareddy/titanic-varun", "kernel_id": "16106642"}, {"ref": "lesduties/titanic-for-beginners", "kernel_id": "16194964"}, {"ref": "lesduties/all-for-titanic", "kernel_id": "16911294"}, {"ref": "barselet/machine-learning-titanic-eda", "kernel_id": "16722296"}, {"ref": "amishapatel2020/introduction-to-ensembling-stacking-in-python", "kernel_id": "16395524"}, {"ref": "gonzalotejada/titanic-30-days-of-ml", "kernel_id": "16915300"}, {"ref": "alvinsaini/notebookd0cd493db0", "kernel_id": "16189398"}, {"ref": "marmal8/titanic", "kernel_id": "16698024"}, {"ref": "gopalj/titanic-exploring-survival", "kernel_id": "16994414"}, {"ref": "amitbidlan/final-titanic-predictions", "kernel_id": "16691964"}, {"ref": "vaidehighodinde/titantic-logicalregression", "kernel_id": "16876974"}, {"ref": "chhitizs/titanic-challenge", "kernel_id": "16402632"}, {"ref": "samuelbudlong/titanic-competition", "kernel_id": "16920395"}, {"ref": "mateusdeassissilva/mateusdeassissilvatitanic", "kernel_id": "16920385"}, {"ref": "jackknapin/titanic-competition", "kernel_id": "16311129"}, {"ref": "deepikachinnala/titanic-dataset-prediction", "kernel_id": "16366833"}, {"ref": "deepikachinnala/titanic-data-prediction", "kernel_id": "16364945"}, {"ref": "uzmashujauddin/titanic-survival-predictions", "kernel_id": "16169291"}, {"ref": "seokinshim/titanic-prediction-using-randomforest", "kernel_id": "16822208"}, {"ref": "realonbebeto/survival-prediction-on-titanic", "kernel_id": "16080121"}, {"ref": "keshavreddy731/titanic-survival-dataset", "kernel_id": "16259449"}, {"ref": "attaullahshafiq/titanicml", "kernel_id": "16904376"}, {"ref": "foolchicken/titanic-survive-predict", "kernel_id": "16277938"}, {"ref": "oyeronkealasisi/titanic-analysis-and-survival-predictions", "kernel_id": "16155268"}, {"ref": "gurjotsingh16/titanic-solution", "kernel_id": "16144654"}, {"ref": "premkumarvarma/titanic", "kernel_id": "16080575"}, {"ref": "mennaafify/titanic", "kernel_id": "16256521"}, {"ref": "mennaafify/titanic2-0", "kernel_id": "16273485"}, {"ref": "mennaafify/titanic-nb", "kernel_id": "16901507"}, {"ref": "chanos/titanic-2020250001", "kernel_id": "16066502"}, {"ref": "mohitcjumani/titanic-classification", "kernel_id": "16399716"}, {"ref": "aymanhassan121/titanic-ver-1", "kernel_id": "16267987"}, {"ref": "aymanhassan121/titanic-using-gnd", "kernel_id": "16846500"}, {"ref": "ezzghalibtomizi/taitanc-solution", "kernel_id": "16138602"}, {"ref": "thrineshduvvuru/titanic-survival-eda", "kernel_id": "16263380"}, {"ref": "ryanneilparker/titanic-classifier-comparison", "kernel_id": "16751881"}, {"ref": "bikashmishra1277/titanic-analysis", "kernel_id": "16857581"}, {"ref": "atasaygin/titanic-visualization-and-analysis", "kernel_id": "16276247"}, {"ref": "atasaygin/titanic-randomforestclassifier-and-visualization", "kernel_id": "16703065"}, {"ref": "mishmosh/titanic-svc", "kernel_id": "16683150"}, {"ref": "michaellutz/titanic-stacking", "kernel_id": "16921920"}, {"ref": "liuyixi/kaggle-titanic-autoeda-automl-pritice", "kernel_id": "16881102"}, {"ref": "yavuzgirgin/titanic-eda", "kernel_id": "16130917"}, {"ref": "ahmedmohameddawoud/step-by-step-who-was-most-likely-to-survive", "kernel_id": "16150609"}, {"ref": "muhammadzubairkhan92/semi-supervised-classification-using-autoencoders", "kernel_id": "16847939"}, {"ref": "shama123/ensemble-titanic", "kernel_id": "16104499"}, {"ref": "victorbnnt/titanic-survivor", "kernel_id": "16999392"}, {"ref": "theodorosnikoleris/notebookc9c177d5a1", "kernel_id": "16635130"}, {"ref": "lgnche/titanic-2-attempt", "kernel_id": "16282580"}, {"ref": "ahmetcalis/titanic-eda-prediction", "kernel_id": "16283046"}, {"ref": "alexey95/titanic-competition-feature-engineering", "kernel_id": "16476265"}, {"ref": "jacobstpierre/first-ml-titanic-model", "kernel_id": "16293863"}, {"ref": "katsutoshiamano/titanic-clustering-on-scaled-fare-age-plane", "kernel_id": "16103186"}, {"ref": "kalebcoberly/titanic-python-eda", "kernel_id": "16451699"}, {"ref": "kalebcoberly/titanic-python-model", "kernel_id": "16510507"}, {"ref": "nabeelraza/starting-with-titanic-tutorial", "kernel_id": "16539631"}, {"ref": "nimajehan/titanic", "kernel_id": "16875781"}, {"ref": "samirrai/learning-from-disaster", "kernel_id": "16306796"}, {"ref": "arjunkataria/titanic-competition", "kernel_id": "16783900"}, {"ref": "franciscoaltanizio/titanic-cv-ensemble-models-anova-top-13", "kernel_id": "16074319"}, {"ref": "parthabera/titanic-wreck", "kernel_id": "16042104"}, {"ref": "maxreis/titanic-submission-h2o-auto-ml", "kernel_id": "16402286"}, {"ref": "ammaraahmad/camparing-different-ml-models", "kernel_id": "16511528"}, {"ref": "rinatibragimov95/titanic-analytics-svm-bagging", "kernel_id": "16325213"}, {"ref": "arjavtongia/titanic-survival-analysis", "kernel_id": "16778421"}, {"ref": "arunavanandy/titanic", "kernel_id": "16231808"}, {"ref": "ahmedabdelhuy/titanic", "kernel_id": "16504409"}, {"ref": "lightion/titanic-ml", "kernel_id": "16113622"}, {"ref": "burakcancerik/getting-started-with-titanic", "kernel_id": "16315684"}, {"ref": "kacperszot/titanic", "kernel_id": "16154010"}, {"ref": "artunpnar/artun-titanic", "kernel_id": "16131774"}, {"ref": "santosh1974/titanic-with-pipeline", "kernel_id": "16660872"}, {"ref": "am1785/first-kaggle-comp-titanic", "kernel_id": "16258831"}, {"ref": "nightsfury/titanic-for-beginner", "kernel_id": "16087578"}, {"ref": "yanivv77/titanic-survival-prediction-project", "kernel_id": "16981680"}, {"ref": "muhammedhamid/si618-homework7", "kernel_id": "16311123"}, {"ref": "qndbsxo/3-titanic-my-first-competition", "kernel_id": "16521234"}, {"ref": "dianaatlas/dianaatlas", "kernel_id": "16086298"}, {"ref": "rujikarn25/fork-of-titanic-decisiontree-phn", "kernel_id": "16353052"}, {"ref": "rujikarn25/test-parameter-of-titanic-kneighborsclassifier", "kernel_id": "16379368"}, {"ref": "mariyayurchuk/ai-ml-ds-training-l1t-titanic-decision-tree", "kernel_id": "16501888"}, {"ref": "animeshrockn/simple-svm-classification", "kernel_id": "16996160"}, {"ref": "jeonghyunjhkim/eda-titanic-eda", "kernel_id": "16924936"}, {"ref": "phawatmakhaphan/titanic-disaster", "kernel_id": "16320265"}, {"ref": "kadechutamas/titanic-tour-beginners-guideline", "kernel_id": "16502863"}, {"ref": "goofie254/getting-started-titanic", "kernel_id": "16678280"}, {"ref": "uhasriyalamanchili/final", "kernel_id": "16599387"}, {"ref": "shrilathashripathi/titanic", "kernel_id": "16288264"}, {"ref": "daking97/randomizedsearchcv-to-the-win", "kernel_id": "16005425"}, {"ref": "edkuma/predict-the-survival-using-naive-bayes", "kernel_id": "16612252"}, {"ref": "edkuma/predict-the-survival-using-knn", "kernel_id": "16612951"}, {"ref": "ilanbrik/dnn-prediction", "kernel_id": "16780984"}, {"ref": "mogu4iy/titanic", "kernel_id": "16681359"}, {"ref": "soumyajitdatta/titanic-eda-prediction", "kernel_id": "16142625"}, {"ref": "arhamhabib/titanic-ml", "kernel_id": "16629945"}, {"ref": "ashrutsharma/notebookdd6ae63b5a", "kernel_id": "16908071"}, {"ref": "jigaroza/titanic-notebook", "kernel_id": "16218390"}, {"ref": "ayenurakdeniz/titanic-eda", "kernel_id": "16088425"}, {"ref": "tatianabochkareva/logreg-and-knn-solution", "kernel_id": "16198701"}, {"ref": "oluwakemifarinde/getting-started-with-titanic", "kernel_id": "16042443"}, {"ref": "willand/tree-decision-classifier", "kernel_id": "16452974"}, {"ref": "nicojv/titanic-classification-ensemble-modeling", "kernel_id": "16899050"}, {"ref": "dmitrykhil/homework-kaggle-1", "kernel_id": "16017946"}, {"ref": "javiervallejos/titanic-simple-decision-tree-model-score-top-3", "kernel_id": "16511074"}, {"ref": "tirendazacademy/titanic-random-forest", "kernel_id": "16096043"}, {"ref": "truesight/predicting-titanic-survivor", "kernel_id": "16662691"}, {"ref": "damarisgosalvez/titanic-proyecto", "kernel_id": "16404934"}, {"ref": "chenduanyun/multiple-algorithms-require-an-optimal", "kernel_id": "16305972"}, {"ref": "thakurpsb/sl-titanic", "kernel_id": "16913915"}, {"ref": "gordonjn/titanically-marginally-better-predictor-than-colin", "kernel_id": "16489559"}, {"ref": "eramirez7/ann-titanic-survivors", "kernel_id": "16025642"}, {"ref": "shadymasry/titanic-predictions-machine-vs-deep-learning", "kernel_id": "16995026"}, {"ref": "mirtossergey/titanic", "kernel_id": "16815815"}, {"ref": "admrerf/notebook15f66c47b5", "kernel_id": "16675124"}, {"ref": "yantashe/titanic-1", "kernel_id": "16637399"}, {"ref": "alampalsingh/titanic-eda-and-prediction", "kernel_id": "16323482"}, {"ref": "kaiyuanz/titanic-survival-predictions-work", "kernel_id": "16794938"}, {"ref": "spameron/titanic-attempt", "kernel_id": "16837864"}, {"ref": "naveensoni/titanic-v1-ns", "kernel_id": "16951524"}, {"ref": "abdelrahmanhrezk/titanic-machine-learning-from-disaster", "kernel_id": "16370345"}, {"ref": "alldnayak/titanic-kaggle-project", "kernel_id": "16967248"}, {"ref": "maystep/titanic-competition", "kernel_id": "16240088"}, {"ref": "shivansh05/titanic-dataset-prediction", "kernel_id": "16974511"}, {"ref": "abhishekgaur186/titanic-eda-simple-model-0-80622", "kernel_id": "16869593"}, {"ref": "mamadjonovabdurahmon/notebookb0473988e0", "kernel_id": "16990773"}, {"ref": "triuvtrng/titanic-rookie", "kernel_id": "16067428"}, {"ref": "timgid/titanic-competition-top26", "kernel_id": "16741630"}, {"ref": "bochrabenjaballah/predict-titanic-survivors", "kernel_id": "16017415"}, {"ref": "lbwhite/titanic-submission-ece-301-project", "kernel_id": "16292667"}, {"ref": "gyllnd/titanic-eda-g", "kernel_id": "16014839"}, {"ref": "markct/titanic", "kernel_id": "16446569"}, {"ref": "vaibhavsolanki97/titanic-project-using-four-algorithms", "kernel_id": "16040799"}, {"ref": "brandonrodriguezh/titanic-competition", "kernel_id": "16592850"}, {"ref": "k0mp0t/titanic-v-2", "kernel_id": "16774845"}, {"ref": "tatianakovalenko/titanic-simple-ann-vs-rfc", "kernel_id": "16670002"}, {"ref": "arseniyilyinsky/notebook4002aff9eb", "kernel_id": "16501728"}, {"ref": "xiaolx/titanic-logistic", "kernel_id": "16807532"}, {"ref": "alexanderbader/mytitanic", "kernel_id": "16518579"}, {"ref": "austinhenthorne/titanic-survival-predictor", "kernel_id": "16336931"}, {"ref": "himanshu9goyal/titanic-survival", "kernel_id": "16021619"}, {"ref": "singhkaramvir/karam-notebook", "kernel_id": "16987484"}, {"ref": "hamzaabdelhedi/titanic-full-pipeline-top-9-beginner-guideline", "kernel_id": "16294834"}, {"ref": "fmakarem/titanic-notebook", "kernel_id": "16002761"}, {"ref": "alisdurna/titanik", "kernel_id": "16156321"}, {"ref": "savitaverma/fork-of-kaggle-titanic-data", "kernel_id": "16055417"}, {"ref": "thiagonalinteracini/titanic-pae-imt", "kernel_id": "16051882"}, {"ref": "sgneves/titanic-neural-network-optimization", "kernel_id": "16133783"}, {"ref": "serpilsezer/notebookd7176566ab", "kernel_id": "16673440"}, {"ref": "dynahd/titanic-0-79", "kernel_id": "16171919"}, {"ref": "sergeyshchanikov/titanic-edu", "kernel_id": "16524217"}, {"ref": "saurabhbudhwani/titanic-predictions", "kernel_id": "16827988"}, {"ref": "taoist610/random-forest-for-titanic", "kernel_id": "16262383"}, {"ref": "kiernanmcguigan/titanic-survival-prediction-v1", "kernel_id": "16203482"}, {"ref": "pedrovitorbarbosa/machine-learing-titanic", "kernel_id": "16140950"}, {"ref": "meetbhalia/titanic-survivorpredictor-demo", "kernel_id": "16071157"}, {"ref": "romankopylash/ml-lab3", "kernel_id": "16635566"}, {"ref": "brsdincer/titanic-prediction-end-to-end-project", "kernel_id": "16043537"}, {"ref": "alasdairwatt/titanic-random-forest-grid-search", "kernel_id": "16266744"}, {"ref": "alasdairwatt/titanic-eda-wrangling-imputation", "kernel_id": "16266614"}, {"ref": "fernandomartndeoliva/fer-titanic", "kernel_id": "16788733"}, {"ref": "mikhailtokar/notebook-lab3", "kernel_id": "16979608"}, {"ref": "aditimulye/titanic-dataset-my-first-competition", "kernel_id": "16316649"}, {"ref": "aditimulye/titanic-best-score", "kernel_id": "16317976"}, {"ref": "ggliam/liam-titanic-randomforest", "kernel_id": "16496066"}, {"ref": "joaovitorbranco/getting-started-with-titanic-1", "kernel_id": "16490759"}, {"ref": "moushmib/titanic-data-exploration", "kernel_id": "16975831"}, {"ref": "paulagates/knn-titanic", "kernel_id": "16504337"}, {"ref": "betancourt/titanic", "kernel_id": "16096570"}, {"ref": "datafaith/using-neural-networks-for-titanic", "kernel_id": "16017096"}, {"ref": "hattack/notebookee6c91c857", "kernel_id": "16007008"}, {"ref": "jeongbeomjin/random-forest", "kernel_id": "16037025"}, {"ref": "patelavis/titanic-machine-learning", "kernel_id": "16522090"}, {"ref": "patelavis/titanic-survived-prediction", "kernel_id": "16526193"}, {"ref": "julenaranguren/titanic-data-analysis-and-decision-tree", "kernel_id": "16396418"}, {"ref": "muskanjha/titanic-best-score-101760", "kernel_id": "16033366"}, {"ref": "muskanjha/50-advanced-tips-data-science-for-tabular-data", "kernel_id": "16033233"}, {"ref": "mongisimon/titanic-example-tensorflow-linear-classifier", "kernel_id": "16171433"}, {"ref": "jungayoung/notebook24715d6124", "kernel_id": "16055943"}, {"ref": "yonierlich/titanic-proj", "kernel_id": "16873327"}, {"ref": "elmatroryas/titanic-pred", "kernel_id": "16087013"}, {"ref": "abhinayadluri123/notebook622864127f", "kernel_id": "16859155"}, {"ref": "cemaluk/titanic-case-hw", "kernel_id": "16748552"}, {"ref": "mnkngg/titanic", "kernel_id": "16047680"}, {"ref": "ghocizero/my-first-kaggle", "kernel_id": "16364434"}, {"ref": "tubanuryaa/titanic-eda", "kernel_id": "16637902"}, {"ref": "sevcanfata/sevcan-titanic-eda", "kernel_id": "16219946"}, {"ref": "yuseongjeong/notebook0e80eb1662", "kernel_id": "16061510"}, {"ref": "yuseongjeong/notebook7a65709013", "kernel_id": "16063749"}, {"ref": "jborbeck/kaggle-titanic-competition-julian-borbeck", "kernel_id": "16027271"}, {"ref": "bangkm/machinerunninghw-2016245053", "kernel_id": "16052856"}, {"ref": "ekdnjs99/titanic-98", "kernel_id": "16057967"}, {"ref": "amit8826/titanic-tutorial", "kernel_id": "16514638"}, {"ref": "nyanoar/ml-titanic", "kernel_id": "16014546"}, {"ref": "zeorw41/notebookebf13815ad", "kernel_id": "16035067"}, {"ref": "madhavjk/titanic-machine-learning-model", "kernel_id": "16054618"}, {"ref": "yuramorozov/titanic-prediction", "kernel_id": "16683428"}, {"ref": "qkrejr00/notebook0011f602de", "kernel_id": "16063593"}, {"ref": "kiluarrui/the-first-learning-model-titanic", "kernel_id": "16578851"}, {"ref": "sagar5suman/getting-started-with-titanic", "kernel_id": "16273437"}, {"ref": "mertozturksh/my-titanic-data-analysis", "kernel_id": "16537646"}, {"ref": "adarsh140799/titanic-using-keras-and-tf", "kernel_id": "16133558"}, {"ref": "patrickhajali/ph-iceberg-cleaver", "kernel_id": "16314454"}, {"ref": "chongluo1997/getting-started-with-titanic", "kernel_id": "16324304"}, {"ref": "vadimsamigin/notebook746611df07", "kernel_id": "16090919"}, {"ref": "luanarst/titanic-data-science-solutions", "kernel_id": "16067868"}, {"ref": "bishaldebnath/titanic-survival-analysis-with-logistic-regression", "kernel_id": "16196364"}, {"ref": "simepavlic/titanic-survival-predictions", "kernel_id": "16089228"}, {"ref": "rossdunne/theensembleplayedon", "kernel_id": "16443906"}, {"ref": "nikunjmalpani/titanic-best-score-top-10", "kernel_id": "16441479"}, {"ref": "nikunjmalpani/titanic-dataset-challenge-beginner", "kernel_id": "16439850"}, {"ref": "hobakjh/my-first-data-analysis-for-titanic", "kernel_id": "16098870"}, {"ref": "hobakjh/titanic-tutorial-1", "kernel_id": "16223236"}, {"ref": "hobakjh/eda-dietanic-1", "kernel_id": "16235557"}, {"ref": "adamjanowski/drzewo-decyzyjne", "kernel_id": "16254415"}, {"ref": "adamjanowski/regresja-logistyczna", "kernel_id": "16254246"}, {"ref": "adamjanowski/naiwny-bayes", "kernel_id": "16253580"}, {"ref": "dinhphu/random-forest-in-titanic", "kernel_id": "16130506"}, {"ref": "chenhaoxue/titanic", "kernel_id": "16121174"}, {"ref": "arjunagarwal899/competition-titanic", "kernel_id": "16440879"}, {"ref": "ioanniskaragiannis87/titanic-ml-to-the-rescue", "kernel_id": "16125924"}, {"ref": "julenn/titanic", "kernel_id": "16995796"}, {"ref": "zedixsj/titanic-data-science-solutions-pr", "kernel_id": "16285113"}, {"ref": "ygorjesus/iniciantes-iris-classificadores", "kernel_id": "16293487"}, {"ref": "atharvareshimwale/titanic-project", "kernel_id": "16948835"}, {"ref": "egeyavuzcan/titanik-projesi-ege", "kernel_id": "16280431"}, {"ref": "jugold/titanic-binary-classification-ba", "kernel_id": "16689870"}, {"ref": "srijanmeh/attempt-1", "kernel_id": "16181420"}, {"ref": "reynaldoalvarado/notebook4d5c107cd4", "kernel_id": "16918875"}, {"ref": "iamtapendu/eda-on-titanic-top-5", "kernel_id": "16331311"}, {"ref": "dztutoring/introduction-to-decision-trees-titanic-dataset", "kernel_id": "16194047"}, {"ref": "guojiarui/notebookab631265d0", "kernel_id": "16222350"}, {"ref": "mustafaorkanbal/titanic-eda", "kernel_id": "16548091"}, {"ref": "sajjadwasti/notebook2cc5ce010a", "kernel_id": "16678151"}, {"ref": "abhijeet6232/titanic-machine-learning-from-disaster", "kernel_id": "16987130"}, {"ref": "alfredozuniga/titanic-logreg", "kernel_id": "16590757"}, {"ref": "gabrielboughen/titanic-attempt-3", "kernel_id": "16990672"}, {"ref": "sindhugoyal/mcep0144day6-7", "kernel_id": "16252495"}, {"ref": "janainagomes/titanic-classifica-o", "kernel_id": "16755598"}, {"ref": "jzeferino/titanic-log-reg-with-r", "kernel_id": "16313747"}, {"ref": "dorothylee238/titanic-best-score", "kernel_id": "16363403"}, {"ref": "elmerihakkinen/my-titanic", "kernel_id": "16314191"}, {"ref": "chaeygirl/eda-to-prediction-dietanic", "kernel_id": "16360216"}, {"ref": "chaeygirl/titanic", "kernel_id": "16239732"}, {"ref": "cuojinboshan/learn-titanic-15f617", "kernel_id": "16780861"}, {"ref": "gossic/learn-titanic", "kernel_id": "16633094"}, {"ref": "moqiwang/learn-titanic", "kernel_id": "16778935"}, {"ref": "bnucsy/learn-titanic", "kernel_id": "16795191"}, {"ref": "mali0906/learn-titanic", "kernel_id": "16924074"}, {"ref": "air0612/notebook-titanic", "kernel_id": "16756233"}, {"ref": "dituihuagui/learn-titanic", "kernel_id": "16621670"}, {"ref": "chenchangyu0922/learn-titanic", "kernel_id": "16948488"}, {"ref": "chenchangyu0922/titanic-test1", "kernel_id": "16881284"}, {"ref": "airrose/learn-titanic-89640a", "kernel_id": "16783835"}, {"ref": "echoliu111/learn-titanic", "kernel_id": "16710756"}, {"ref": "myflslbq/learn-titanic", "kernel_id": "16621919"}, {"ref": "suosuosxy/learn-tinanic", "kernel_id": "16795406"}, {"ref": "stereolab/tomato-catch-up", "kernel_id": "16743888"}, {"ref": "khazarhayat/feature-engineering-part-a", "kernel_id": "16779886"}, {"ref": "nithiyaraj/analyze", "kernel_id": "16264698"}, {"ref": "melikbugraozcelik/titanic-competition-eda", "kernel_id": "16349757"}, {"ref": "goldang/kaggle-titanic-goldang", "kernel_id": "16677019"}, {"ref": "kazukiueda/getting-started-with-titanic-210418", "kernel_id": "16305556"}, {"ref": "taylor4a/my-millshake-brings-all-the-boys-to-the-yard", "kernel_id": "16361260"}, {"ref": "mohamedbikry/notebook0e16337b3e", "kernel_id": "16482537"}, {"ref": "lorenzomartini12234/the-code", "kernel_id": "16320286"}, {"ref": "douglaschica/beginner-work-on-titanic", "kernel_id": "16383278"}, {"ref": "vladislavkoncha/titanic-pytorch", "kernel_id": "16869716"}, {"ref": "isurumahakumara/titanic-survival-prediction", "kernel_id": "16545360"}, {"ref": "kuanan/learn-titanic", "kernel_id": "16878390"}, {"ref": "fanglidayan/2-titanic-survival-prediction", "kernel_id": "16358983"}, {"ref": "riajain06/notebook0855f792c8", "kernel_id": "16726338"}, {"ref": "rapidhunter/notebook395552eb72", "kernel_id": "16376480"}, {"ref": "anaghasm/notebook7a52b02403", "kernel_id": "16553886"}, {"ref": "mehmetseydel/datai-team-titanic-eda", "kernel_id": "16445613"}, {"ref": "playboy01/titanic-eda-simple-model-0-80622", "kernel_id": "16869645"}, {"ref": "ankitshukla1/notebook743c347f17", "kernel_id": "16543642"}, {"ref": "ankitshukla1/notebook65213f99d1", "kernel_id": "16516556"}, {"ref": "alqwizz89/implicit-data-in-titanic-top-3", "kernel_id": "16537944"}, {"ref": "pollobbhowmik/survival-rate-of-titanic", "kernel_id": "16446425"}, {"ref": "kevinvanbecelaere/titanic-classifier", "kernel_id": "16638778"}, {"ref": "vipassanamore/getting-started-with-titanic", "kernel_id": "16570813"}, {"ref": "antonromashko/notebook8f8fe2aabe", "kernel_id": "16583038"}, {"ref": "plukreneldilao/titanic-v3", "kernel_id": "16721431"}, {"ref": "mathapelomonare/titanic-random-forest-grid-search", "kernel_id": "16639912"}, {"ref": "mathapelomonare/titanic-eda-wrangling-imputation", "kernel_id": "16551693"}, {"ref": "alekseygustov/titanic-competition-easy-way-to-top-17", "kernel_id": "16909566"}, {"ref": "jrpark3797/titanic", "kernel_id": "16492936"}, {"ref": "ongseihui/getting-started-with-titanic", "kernel_id": "16493642"}, {"ref": "ongseihui/titanic-survival-data-analysis", "kernel_id": "16498005"}, {"ref": "subh4d45/titanic-machine-learning-from-disaster", "kernel_id": "16909928"}, {"ref": "tunliquc/improve-thorrp-s-kernel", "kernel_id": "16508676"}, {"ref": "alayanaydin/titanic-eda", "kernel_id": "16655040"}, {"ref": "sreevathsagolla/titanic-prediction-using-svm-classifier", "kernel_id": "16681062"}, {"ref": "vineetgoel98/classification-titanic", "kernel_id": "16570508"}, {"ref": "rohithsankepally/logistic-regression", "kernel_id": "16536560"}, {"ref": "lucasssilva/competition-titanic-lucas-silva", "kernel_id": "16932216"}, {"ref": "lucasssilva/competition-titanic-dnn-lucas-silva", "kernel_id": "16941878"}, {"ref": "nohrud/titanic-challenge-compare-3-models-trees-and-dl", "kernel_id": "16812201"}, {"ref": "elianeth/titanic-hw", "kernel_id": "16577119"}, {"ref": "flashfire/titanic-1-submission", "kernel_id": "16749066"}, {"ref": "abderrahimalakouche/first-kernel-on-kaggle-top-17", "kernel_id": "16680636"}, {"ref": "deepakyadav09/notebook3c3d1d3185", "kernel_id": "16765704"}, {"ref": "giuliolocigno/megabigbrain", "kernel_id": "16689846"}, {"ref": "alexanderday/titanic-prediction-notebook", "kernel_id": "16749530"}, {"ref": "viccaay/viccaay", "kernel_id": "16977132"}, {"ref": "lucaskb/titanic-analysis", "kernel_id": "16795755"}, {"ref": "akp9999/notebookdf3e980d6e", "kernel_id": "16869644"}, {"ref": "gorkemarslan/ga-titanic-eda", "kernel_id": "16787211"}, {"ref": "draditya/titanic-data-analysis", "kernel_id": "16753576"}, {"ref": "nidanurdemirciolu/titanic-eda", "kernel_id": "16790958"}, {"ref": "tomdiederen/kaggle-titanic-survivor-model", "kernel_id": "16768755"}, {"ref": "hritaban02/titanic", "kernel_id": "16859639"}, {"ref": "hlo1970/learn-titanic", "kernel_id": "16786108"}, {"ref": "norikoroskosch/getting-started-with-titanic", "kernel_id": "16928240"}, {"ref": "trixietacung/titanic-survival-prediction-with-r", "kernel_id": "16803096"}, {"ref": "sabadash/some-titanic-users-data-calculations", "kernel_id": "16938313"}, {"ref": "shreyanshratnamkhare/titanic2", "kernel_id": "16851156"}, {"ref": "sanjeeb1985/my-first-notebook", "kernel_id": "16847218"}, {"ref": "zhouyuxuan0010/titanic-test", "kernel_id": "16857005"}, {"ref": "lknurkuru/titanic-eda", "kernel_id": "16953471"}, {"ref": "aakanshjain/titanic-eda", "kernel_id": "16869596"}, {"ref": "samradhrathore/titanic-eda-simple-model-0-80622", "kernel_id": "16869619"}, {"ref": "chaitanya0909/titanic-eda-simple-model-0-80622", "kernel_id": "16869648"}, {"ref": "jainajit/titanic-eda-simple-model-0-80622", "kernel_id": "16869779"}, {"ref": "killiansteunou/notebooktitanic", "kernel_id": "16955845"}, {"ref": "parthpatel26/titanic-survivor-prediction", "kernel_id": "16933575"}, {"ref": "rudraprashant/titanic", "kernel_id": "16940448"}, {"ref": "diegopaiva/titanic-eda-random-forest", "kernel_id": "16977659"}, {"ref": "artemburenok/titanicnotebook-randomforest-logisticregressioncv", "kernel_id": "16954471"}, {"ref": "aysegulhatipoglu/titanic-kernel", "kernel_id": "16992769"}, {"ref": "meisamraz/titanic-prediction-top-5", "kernel_id": "16958892"}, {"ref": "manjusrivastava/titanic-pred", "kernel_id": "16970273"}, {"ref": "abhnovice/titanic-first-using-logistic-regression", "kernel_id": "16970483"}, {"ref": "marcioorocha/notebook9b53bac388", "kernel_id": "16981548"}, {"ref": "chloeseong/eda-to-prediction-dietanic-by-chloee", "kernel_id": "16984099"}, {"ref": "ankitsabinkar/titanic-to-begin-with", "kernel_id": "17815683"}, {"ref": "aghalsa/starter-analysis", "kernel_id": "17415703"}, {"ref": "kamal007/titanic-using-fastai-top-2", "kernel_id": "17473412"}, {"ref": "sreenivas134/titanic-survival-classification-0-98803", "kernel_id": "17650779"}, {"ref": "jiocalderon/titanic-wealth", "kernel_id": "17921879"}, {"ref": "felipecaue/titanic-awari-felipe", "kernel_id": "17000540"}, {"ref": "sadqueen/my-first-data-analysis-for-titanic", "kernel_id": "17076598"}, {"ref": "rsesha/deep-autoviml-on-titanic-roc-86-8", "kernel_id": "17694204"}, {"ref": "llcorrea/titanic-competition-eda-and-prediction-pt", "kernel_id": "17643229"}, {"ref": "midhunkumar/titanic-prediction", "kernel_id": "17575370"}, {"ref": "doublew/getting-started-with-titanic", "kernel_id": "17021780"}, {"ref": "paulh2718/titanic-random-forest-classifier", "kernel_id": "17533994"}, {"ref": "abhishekdagarit/titanic-competition", "kernel_id": "17353550"}, {"ref": "vadimbezdushny/titanic-prediction", "kernel_id": "17215322"}, {"ref": "timoboz/test-titanic-draft", "kernel_id": "17337882"}, {"ref": "cloudashu/titanic-death-prediction", "kernel_id": "17664124"}, {"ref": "fantao/titanic-code", "kernel_id": "17129449"}, {"ref": "nihitpatel/titanic-logisticregression", "kernel_id": "17664739"}, {"ref": "nihitpatel/titanic-decisiontree", "kernel_id": "17659417"}, {"ref": "lucabasa/flexible-pipelines-model-tuning-and-stacking", "kernel_id": "17125971"}, {"ref": "joey0201/titanic-challenge-eda", "kernel_id": "17543538"}, {"ref": "kritidoneria/beginner-titanic-the-no-algorithm-method", "kernel_id": "17246258"}, {"ref": "anishjosh/titanic-modelling", "kernel_id": "17157993"}, {"ref": "raaavan/random-forest-search-grid-classifier", "kernel_id": "17631314"}, {"ref": "ollibolli/genetic-algorithms-for-model-selection", "kernel_id": "17555252"}, {"ref": "hicham1984/titanic-compitition-with-caret-r", "kernel_id": "17199213"}, {"ref": "lucassouza252/first-titanic-dataset-study", "kernel_id": "17275745"}, {"ref": "soniakash/titanic-05-06-21", "kernel_id": "17404266"}, {"ref": "sreyamdasgupta/titanic-trial-version", "kernel_id": "17012652"}, {"ref": "anonamename/4-eda-libraries-test", "kernel_id": "17250317"}, {"ref": "khoongweihao/part-2-preprocessing-feature-engineering", "kernel_id": "17892140"}, {"ref": "khoongweihao/part-1-exploratory-data-analysis-eda", "kernel_id": "17891081"}, {"ref": "khoongweihao/part-3-model-training-validation-strategies", "kernel_id": "17894044"}, {"ref": "khoongweihao/part-4-inference-and-post-processing-techniques", "kernel_id": "17896472"}, {"ref": "am3z0la/notebook75247a24a1", "kernel_id": "17319958"}, {"ref": "anvesh1997/titanic-1st", "kernel_id": "17629543"}, {"ref": "moizhk/advanced-eda-on-titanic-dataset", "kernel_id": "17290285"}, {"ref": "dwiuzila/titanic-complete-analysis-in-r-top-4", "kernel_id": "17331070"}, {"ref": "dwiuzila/attempting-a-perfect-score-learning-purpose-only", "kernel_id": "17094097"}, {"ref": "juandaniel/tarea-6", "kernel_id": "17477672"}, {"ref": "mikeramby/fork-of-first-try-titanic", "kernel_id": "17784261"}, {"ref": "ankitp013/ext-gridsearch-hyperparams-tuning-keras-titanic", "kernel_id": "17443660"}, {"ref": "gargvg/titanic-eda", "kernel_id": "17815343"}, {"ref": "kagglestart/titanic-matplotlib-pratice", "kernel_id": "17997058"}, {"ref": "brookie210/titanic-lgbm-with-advanced-feature-engineering", "kernel_id": "17650615"}, {"ref": "ricoter/titanic-oneliner", "kernel_id": "17002199"}, {"ref": "rizani/titanic-prediction", "kernel_id": "17025912"}, {"ref": "yhiraki/nino-pira", "kernel_id": "17370300"}, {"ref": "ocben1/fork-of-titanic-assignment-05-13", "kernel_id": "17048735"}, {"ref": "ocben1/fork-of-titanic-assignment-05-13-5d7589", "kernel_id": "17078245"}, {"ref": "tohgoroh/titanic-2021", "kernel_id": "17346929"}, {"ref": "elliottan/titanic-notebook-1", "kernel_id": "17936044"}, {"ref": "hiromasatabuchi/myautoml-autoalgorithm-pipeline-gridsearch", "kernel_id": "17139591"}, {"ref": "caglartoklu/getting-started-with-titanic", "kernel_id": "17126673"}, {"ref": "izzettin/titanic", "kernel_id": "17385034"}, {"ref": "soubhiksarkar/nb1-ss", "kernel_id": "17755062"}, {"ref": "shafat73/logistic-regression-approach-for-finding-survival", "kernel_id": "17040595"}, {"ref": "gundawrsharvari/titanic-survival-analysis-using-shap-values", "kernel_id": "17539514"}, {"ref": "shameinew/titanic-survival-lr", "kernel_id": "17149946"}, {"ref": "ankit85jain/titanic", "kernel_id": "17216049"}, {"ref": "stpeteishii/titanic-by-h2o-automl", "kernel_id": "17126420"}, {"ref": "stpeteishii/titanic-eda-with-autoviz", "kernel_id": "17131809"}, {"ref": "stpeteishii/titanic-first-stacking", "kernel_id": "17032626"}, {"ref": "stpeteishii/titanic-clustering-collection", "kernel_id": "17005761"}, {"ref": "stpeteishii/titanic-kmeans-clustering", "kernel_id": "17004597"}, {"ref": "nizamudma/lab-2", "kernel_id": "17120584"}, {"ref": "burakkahveci/titanic-ml-analysis", "kernel_id": "17151569"}, {"ref": "edgargarcia20/p1-titanic", "kernel_id": "17732327"}, {"ref": "pharamund/logisticregression", "kernel_id": "17084027"}, {"ref": "prithivi7/titanic-survival-prediction-random-forest", "kernel_id": "17057236"}, {"ref": "raghavgaggar99/titanic-using-svc", "kernel_id": "17860631"}, {"ref": "avikram553/titanic-disaster", "kernel_id": "17143889"}, {"ref": "shahf11/titanic-challange-using-random-forest", "kernel_id": "17216462"}, {"ref": "ashdim/notebookede57b4299", "kernel_id": "17911599"}, {"ref": "boss0ayush/extensive-eda-plus-top2", "kernel_id": "17658123"}, {"ref": "srinandhini/titanic-survival-prediction-xg-boost", "kernel_id": "17178352"}, {"ref": "marispanol/titanic-competition", "kernel_id": "17104010"}, {"ref": "apurvaks/survival-prediction", "kernel_id": "17546293"}, {"ref": "tamlc46/building-a-basic-machine-learning-pipeline", "kernel_id": "17772227"}, {"ref": "nguyenvlm/semi-naive-bayes-classifier", "kernel_id": "17892887"}, {"ref": "csaraogi15/predicting-titanic-survivors", "kernel_id": "17661560"}, {"ref": "tharun185/my-solution", "kernel_id": "17977271"}, {"ref": "arunima24/ensemble-learning-on-titanic-data", "kernel_id": "17891260"}, {"ref": "arunima24/exploratory-data-analysis-on-titanic-dataset", "kernel_id": "17855919"}, {"ref": "forward23/titanic-project-example", "kernel_id": "17622691"}, {"ref": "ebagirov/titanic", "kernel_id": "17988619"}, {"ref": "qiaoyiming/kaggle-titanic-tutorial", "kernel_id": "17099443"}, {"ref": "tsuchiya044/catboost-using-titanic-dataset", "kernel_id": "17209166"}, {"ref": "esan94/helloworldtitanic", "kernel_id": "17178866"}, {"ref": "caiocsn2/titanic-data-exploration", "kernel_id": "17319410"}, {"ref": "takuyatone/titanic-tutorial-japanese", "kernel_id": "17065778"}, {"ref": "blackmamba1997/titanic-k-fold-cv-ensemble", "kernel_id": "17118338"}, {"ref": "muskaan148/titanic-prediction", "kernel_id": "17146228"}, {"ref": "laplace8/ml-titanic-classification-210601", "kernel_id": "17360869"}, {"ref": "elmehditaf96/titanic-eda-ml-models-starter-guide", "kernel_id": "17691827"}, {"ref": "himanshupadhiar/titanic-survive-prediction", "kernel_id": "17350034"}, {"ref": "ananya24/titanic-disaster", "kernel_id": "17998614"}, {"ref": "bakosab666/titanic-calssification", "kernel_id": "17964400"}, {"ref": "gahogg/titanic-fully-explained-logistic-regression", "kernel_id": "17919313"}, {"ref": "sezginildes/feature-engineering-data-pre-processing", "kernel_id": "17981984"}, {"ref": "benherbertson/intro-cv-cm", "kernel_id": "17339131"}, {"ref": "prashantchoubey1/titanic-feature-engineering-and-modeling", "kernel_id": "17536429"}, {"ref": "smokingkrils/titanic-complete-analysis", "kernel_id": "17898708"}, {"ref": "harisonmwangi/titanic-eda", "kernel_id": "17165846"}, {"ref": "jacopopierotti/titanic-ml-from-disaster-will-you-survive", "kernel_id": "17356011"}, {"ref": "choithuthoi/apply-hand-on-machine-learning-solution", "kernel_id": "17164965"}, {"ref": "ismetsancakli/titanic-eda", "kernel_id": "17131661"}, {"ref": "guy612/predicting-titanic-survival", "kernel_id": "17082932"}, {"ref": "ethankershner/titanic-survival-prediction-w-langdetect-top-7", "kernel_id": "17700025"}, {"ref": "carkus69/ml-da-2", "kernel_id": "17403309"}, {"ref": "the0electronic0guy/eda-models-titanic-top-5", "kernel_id": "17401359"}, {"ref": "sherlockey/titanic", "kernel_id": "17788499"}, {"ref": "helenajeonghk/20210624-titanic-matplotlib-practice", "kernel_id": "17997065"}, {"ref": "nayanvarmaalluri/titanic", "kernel_id": "17355853"}, {"ref": "pulkit12dhingra/titanic-survived-classification", "kernel_id": "17109831"}, {"ref": "vipin20/numpy-beginner-guide", "kernel_id": "17683632"}, {"ref": "ileska/notebook1c426d3d9a", "kernel_id": "17723706"}, {"ref": "kevincarranza/titanic-competition-kevin-carranza", "kernel_id": "17562148"}, {"ref": "vijayanandan1/getting-started", "kernel_id": "17511378"}, {"ref": "nayuts/you-can-try-auto-eda-tips-with-dataprep", "kernel_id": "17477623"}, {"ref": "manohjkumaarrm/titanic-project1", "kernel_id": "17779062"}, {"ref": "rayalacheruvuhemanth/titanic-with-86-accuracy", "kernel_id": "17140011"}, {"ref": "nisargbhatt/in-the-memories-of-jack", "kernel_id": "17224272"}, {"ref": "vislupus/automl-titanic", "kernel_id": "17217449"}, {"ref": "vishalkundar/titanic-competition", "kernel_id": "17236619"}, {"ref": "carlmcbrideellis/what-is-adversarial-validation", "kernel_id": "17991285"}, {"ref": "basawanayyahiremath/for-beginner-accuracy-score-81", "kernel_id": "17282743"}, {"ref": "yurychernyshov/decisiontree-for-titanic", "kernel_id": "17037488"}, {"ref": "arthbr11/getting-started-with-titanic-dataset", "kernel_id": "17108455"}, {"ref": "nurkasimov/fork-of-titanic", "kernel_id": "17545525"}, {"ref": "omarragi/titanic-machine-learning-from-disaster", "kernel_id": "17229202"}, {"ref": "natalyakolomina/hw1-kolominan", "kernel_id": "17335658"}, {"ref": "natalyakolomina/notebook45aaed667e", "kernel_id": "17420116"}, {"ref": "natalyakolomina/hw2-kolominan", "kernel_id": "17419423"}, {"ref": "edsoneewqe/0-002", "kernel_id": "17266959"}, {"ref": "edsoneewqe/sem-02-06-21", "kernel_id": "17401255"}, {"ref": "roaagamal/titanic-machine-learning", "kernel_id": "17552308"}, {"ref": "sharadhaviswanathan/titanic-mlfromdisaster-eda-modeling-top13", "kernel_id": "17107784"}, {"ref": "rajnarayanankannan/titanic-survivor-classification", "kernel_id": "17305888"}, {"ref": "eslammohamed/titanic", "kernel_id": "17864752"}, {"ref": "aashaypatel/titanic-classifier", "kernel_id": "17325085"}, {"ref": "ryuneko/titanic-competition-izz2", "kernel_id": "17300493"}, {"ref": "sratchana/titanic", "kernel_id": "17860729"}, {"ref": "k650250/eda-taitanic-k650250", "kernel_id": "17899293"}, {"ref": "umangaggarwal/titanic-survival-prediction-project", "kernel_id": "17860538"}, {"ref": "alperaktepe/alper-aktepe-titanic-eda-project", "kernel_id": "17964567"}, {"ref": "firasfakih/getting-started-with-titanic", "kernel_id": "17233459"}, {"ref": "saileshnair/titanic-survival-prediction", "kernel_id": "17936448"}, {"ref": "operationalamplifier/titanic-randomforest", "kernel_id": "17082872"}, {"ref": "kumudadk/titanic-prediction-and-analysis-for-beginners", "kernel_id": "17589312"}, {"ref": "ishiitha/titanic-dataset-analysis", "kernel_id": "17096489"}, {"ref": "houcembenmansour/titanic-disaster", "kernel_id": "17892051"}, {"ref": "hiroshiotagaki/titanic-with-rstan", "kernel_id": "17479422"}, {"ref": "manvendrasrathore/titanic-for-beginners", "kernel_id": "17504205"}, {"ref": "krishnarj/titanic-version-jun7", "kernel_id": "17472413"}, {"ref": "atharvchaudhari/titanic-machine-learning-from-disaster-ahc", "kernel_id": "17065566"}, {"ref": "tatsuyateshima/kaggle-titanic", "kernel_id": "17709319"}, {"ref": "debmalyaray/notebooka426efca8c", "kernel_id": "17547020"}, {"ref": "archanags001/titanic-tutorial", "kernel_id": "17798825"}, {"ref": "maikongoncalves/notebook-titanic", "kernel_id": "17866094"}, {"ref": "khosiyatsabirova/titanic-by-team", "kernel_id": "17755359"}, {"ref": "khosiyatsabirova/titanic-decisiontree", "kernel_id": "17492740"}, {"ref": "khosiyatsabirova/some-analyse-together", "kernel_id": "17475207"}, {"ref": "manikantanrnair/ml-titanic", "kernel_id": "17892021"}, {"ref": "akashsarkar007/top-17-submission", "kernel_id": "17871782"}, {"ref": "josepharcila/getting-started-with-titanic", "kernel_id": "17457253"}, {"ref": "shriyamurthy/titanic", "kernel_id": "17215641"}, {"ref": "palhimanshu/titanic", "kernel_id": "17578781"}, {"ref": "lizandroramrezdifo/titanic-first-comp", "kernel_id": "17455574"}, {"ref": "rawanreda/data-cleaning-tutorial", "kernel_id": "17522557"}, {"ref": "anelmusic/titanic-top-3-tutorial-stepbystep", "kernel_id": "17296920"}, {"ref": "harnoor96/titanic-survival-prediction", "kernel_id": "17065958"}, {"ref": "teateatea/titanic", "kernel_id": "17543651"}, {"ref": "mihailpavlyuk/catboost-score-0-82057", "kernel_id": "17052849"}, {"ref": "gopalakrishnanb/titanic-logistic-regression-with-python", "kernel_id": "17515981"}, {"ref": "nehamuralidharan/18bce1251-neha-m-ml-da2", "kernel_id": "17394376"}, {"ref": "farhanhaikhan/automating-eda-ml-dl-auto-viz-h20ai-keras", "kernel_id": "17249298"}, {"ref": "rohithkumarravi/titanic", "kernel_id": "17036334"}, {"ref": "venugopalkadamba/titanic-eda-visualizations-modeltuning-top17", "kernel_id": "17008754"}, {"ref": "waleedamjad/titanic-eda-data-preprocessing-and-modelling", "kernel_id": "17912948"}, {"ref": "bisheshworneupane/notebook05d1a33293", "kernel_id": "17292525"}, {"ref": "yashbajpai/survival-prediction-using-random-forest-classifier", "kernel_id": "17898980"}, {"ref": "adityapoddar8130/titanic-solution", "kernel_id": "17267845"}, {"ref": "chromerai/using-random-forest", "kernel_id": "17455185"}, {"ref": "wouldyoujustfocus/impact-of-data-anomalies-on-svm-and-fnn", "kernel_id": "17692321"}, {"ref": "georgeemad9819/titanic", "kernel_id": "17209273"}, {"ref": "ehabibrahim758/titanic-dataset-classification", "kernel_id": "17885544"}, {"ref": "prudhvimalladi/titanic1", "kernel_id": "17097152"}, {"ref": "blackhurt/analysis-of-titanic-rescue-operation", "kernel_id": "17504966"}, {"ref": "blackhurt/titanic-analysis-ii", "kernel_id": "17591944"}, {"ref": "jeandinco/titanic-xgboost", "kernel_id": "17620334"}, {"ref": "saotome/eda-titanic", "kernel_id": "17733023"}, {"ref": "saotome/titanic-automl-pycaret-2", "kernel_id": "17977920"}, {"ref": "saotome/titanic-automl-pycaret", "kernel_id": "17955782"}, {"ref": "samwhite1205/titanic-survival-prediction-v0-1", "kernel_id": "17241801"}, {"ref": "ioannistr/titanic-98-8-accuracy-top-2", "kernel_id": "17854403"}, {"ref": "ritikaggarwal/titanic-101983033", "kernel_id": "17543521"}, {"ref": "railotrailot/autotuning-neural-network-for-prediction", "kernel_id": "17366843"}, {"ref": "pandall60/xgboost-parameter-tuning", "kernel_id": "17835449"}, {"ref": "vmindel/notebookbac9aa939b", "kernel_id": "17664212"}, {"ref": "jamesriley/chance-of-surviving-titanic", "kernel_id": "17050418"}, {"ref": "jamesriley/number-of-titanic-survivors-by-lifeboat", "kernel_id": "17090158"}, {"ref": "davidbroberts/titanic-1", "kernel_id": "17001649"}, {"ref": "litonlu/tutorial-k-fold-cross-validation", "kernel_id": "17137626"}, {"ref": "vipul008/titanic-survival", "kernel_id": "17061434"}, {"ref": "abrahamanderson/training-machine-learning-models", "kernel_id": "17912429"}, {"ref": "vovannam/notebookcc843eee0e", "kernel_id": "17424059"}, {"ref": "kurmalaphanindra/titanic-survival-predection", "kernel_id": "17925045"}, {"ref": "sounakmandal/neural-net-for-titanic-dataset", "kernel_id": "17555791"}, {"ref": "perkymaster/titanic-the-first-problem", "kernel_id": "17393591"}, {"ref": "gabrielkamkar/titanic", "kernel_id": "17868370"}, {"ref": "santhraul/titanic-ensemble-model-top-3-leaders-board", "kernel_id": "17446902"}, {"ref": "jump2744/notebook380f01a14f", "kernel_id": "17873239"}, {"ref": "jump2744/notebookbef3ee4e49", "kernel_id": "17998666"}, {"ref": "jump2744/notebookaa3a6d83fe", "kernel_id": "17998579"}, {"ref": "dibkb9/titanic-disaster", "kernel_id": "17980132"}, {"ref": "abhimanyu314/titanic-ann", "kernel_id": "17901628"}, {"ref": "paulinakas/titanic-challenge", "kernel_id": "17549328"}, {"ref": "manojsam/notebook-titanic-kernel-svm", "kernel_id": "17081906"}, {"ref": "akhil14shukla/titanic-survival-project", "kernel_id": "17044298"}, {"ref": "sawradipsaha/titanic-ml-basics", "kernel_id": "17250462"}, {"ref": "praptibhardwaj/titanicprob-cnn-1", "kernel_id": "17637874"}, {"ref": "harshavardhan1729/notebook6c2d0eaa7d", "kernel_id": "17482326"}, {"ref": "alyeasin/titanic-dataset-prediction-78-acc", "kernel_id": "17588087"}, {"ref": "a7madmostafa/titanic-eda-and-modelling", "kernel_id": "17337527"}, {"ref": "zhixx018/titanic-0710", "kernel_id": "17857958"}, {"ref": "heedongpark/titanic-clone", "kernel_id": "17329880"}, {"ref": "artemkiganov/notebook66566256a0", "kernel_id": "17405164"}, {"ref": "alimashoud/titanic-competition-top-6", "kernel_id": "17090546"}, {"ref": "abhishekshahwazza/titanic-dataset-problem", "kernel_id": "17027039"}, {"ref": "theblackmamba31/getting-started-with-titanic-ensemble-learning", "kernel_id": "17118074"}, {"ref": "sonukiller99/titanic-awesome-eda-ml", "kernel_id": "17618858"}, {"ref": "mayushkumar/titanic-helloworld-of-kaggle-public-score-0-784", "kernel_id": "17688185"}, {"ref": "aravindansrinivasan/titenic-workings", "kernel_id": "17107399"}, {"ref": "mursilkhan/titanic-survivors-prediction", "kernel_id": "17047796"}, {"ref": "jcpark3797/ml-minje-s-code", "kernel_id": "17036520"}, {"ref": "kengomieda/eda-to-prediction-dietanic", "kernel_id": "17937445"}, {"ref": "kanyuanhao/my-try-titanic", "kernel_id": "17310870"}, {"ref": "arthurdwlau/top-4", "kernel_id": "17076445"}, {"ref": "kylerlam/titanic-ml-model", "kernel_id": "17516055"}, {"ref": "alimohsen/notebooke314ae454c", "kernel_id": "17440741"}, {"ref": "krishnamore/fastai-rf-simple", "kernel_id": "17794204"}, {"ref": "aaron874/titanic-beginner-solution", "kernel_id": "17661016"}, {"ref": "saipavansaketh/titanic-top-21-with-one-basic-model", "kernel_id": "17060835"}, {"ref": "parth18shah/titanic-dataset-prediction", "kernel_id": "17351211"}, {"ref": "iravad/titanic-survival-prediction-confusion-matrix-roc", "kernel_id": "17412883"}, {"ref": "kowshirbitto/approaching-all-algorithms", "kernel_id": "17971046"}, {"ref": "foramkavathiya/titanic-data-analysis", "kernel_id": "17429968"}, {"ref": "devanshiipatel/titanic-dataset-eda-and-predictions", "kernel_id": "17681635"}, {"ref": "saakethjasti/titanic-dataset-beginner", "kernel_id": "17136368"}, {"ref": "aliosmankaya/titanic-classification-top-8", "kernel_id": "17148344"}, {"ref": "oceant/ai-hait-lab-kaggle-20210522", "kernel_id": "17124237"}, {"ref": "vrajeshbabu/titanic-eda-and-training", "kernel_id": "17821442"}, {"ref": "aimenbaig/titanic-project-part-two", "kernel_id": "17057473"}, {"ref": "vishwasks/titanic", "kernel_id": "17748205"}, {"ref": "ilhamfikriansyah/titanic", "kernel_id": "17953770"}, {"ref": "zrosen3/titanicsubmissionrosen", "kernel_id": "17361081"}, {"ref": "mehulnahar9/titanic-prediction", "kernel_id": "17446387"}, {"ref": "umangtank/titanic-survivors", "kernel_id": "17832625"}, {"ref": "lostsky1331/titanic-data-prediction-using-voting-ensemble", "kernel_id": "17267645"}, {"ref": "carlosjulian/notebook6b9220d24c", "kernel_id": "17740847"}, {"ref": "mohankrishnan02/titanic-eda-and-prediction", "kernel_id": "17511343"}, {"ref": "take1224/notebooka353b102cb", "kernel_id": "17872815"}, {"ref": "abhijit10singh/logistic-regression-on-titanic-dataset", "kernel_id": "17283112"}, {"ref": "hongsuyeol/notebook2ed3f02fb9", "kernel_id": "17350248"}, {"ref": "rajpatel16r/titanic-dataset", "kernel_id": "17121689"}, {"ref": "fernandapratama/titanic-using-random-forest", "kernel_id": "17272085"}, {"ref": "dariazaika/titanic", "kernel_id": "17120390"}, {"ref": "denismetelev/titanic-metelev", "kernel_id": "17156358"}, {"ref": "sagarvaiyata/titanic", "kernel_id": "17060214"}, {"ref": "govardhanshanmugam/titanic-prediction-classification", "kernel_id": "17347528"}, {"ref": "sarangjare/titanic", "kernel_id": "17279961"}, {"ref": "sugar1116/notebook50fbc63f3e", "kernel_id": "17325645"}, {"ref": "sharmaruchi5956/naive-bayes", "kernel_id": "17150697"}, {"ref": "ekaterinazhuikova/fork-of-titanic", "kernel_id": "17190075"}, {"ref": "mahmoudibrahim511/titanic", "kernel_id": "17277304"}, {"ref": "satya1013/titanic-dataset-0-79", "kernel_id": "17940767"}, {"ref": "ankitachoudhury01/titanic-survival-prediction-eda-top-4", "kernel_id": "17060953"}, {"ref": "rustamz/getting-started-with-titanic", "kernel_id": "17638521"}, {"ref": "rustamz/advanced-feature-engineering-titanic", "kernel_id": "17931123"}, {"ref": "creepycrap/titanic-ml-feat-funkyml", "kernel_id": "17447299"}, {"ref": "usmanbiu/titanic-notebook1", "kernel_id": "17084127"}, {"ref": "jonnyjackk/data-science-framework-approach-by-a-beginner", "kernel_id": "17167675"}, {"ref": "saiabhitejachepuri/titanic", "kernel_id": "17224202"}, {"ref": "marcosemn/titanic-marcos-nogueira", "kernel_id": "17330173"}, {"ref": "augustodenevreze/titanic-machine-learning-from-disaster", "kernel_id": "17501392"}, {"ref": "zhangzhiyi3712/learn-titanic-zzy", "kernel_id": "17177244"}, {"ref": "atsushisakata/kaggle-trial", "kernel_id": "17978089"}, {"ref": "niteshranjansingh/best-eda-using-pywedge-and-pandas-profiling", "kernel_id": "17253904"}, {"ref": "grudindmitry/ti12345", "kernel_id": "17357468"}, {"ref": "salaheddinebouzdouz/titanic-survival-prediction", "kernel_id": "17029611"}, {"ref": "ngawangchoeda/titanic-ml-using-logisticreg", "kernel_id": "17546436"}, {"ref": "shilpagoel/notebook51fbf5b8a6", "kernel_id": "17618566"}, {"ref": "radosawsierny/titanic-solution", "kernel_id": "17079270"}, {"ref": "astahovavaleriya/titanic-predict-in-russian", "kernel_id": "17087294"}, {"ref": "navneetberi/titanic-ml", "kernel_id": "17000386"}, {"ref": "mishanto/titanic-with-random-forest", "kernel_id": "17139038"}, {"ref": "fightingmuscle/over-0-8-titanic-more-technical-eda-eng-jpn", "kernel_id": "17954989"}, {"ref": "deepanairms/titanic-survivor-prediction", "kernel_id": "17006161"}, {"ref": "renatoboemer/titanic-v2", "kernel_id": "17902882"}, {"ref": "balasubramaniamv/titanic-predicition-using-logistic-regression", "kernel_id": "17692454"}, {"ref": "brenoalvesdesousa/aula-beedata-feature-engineering", "kernel_id": "17663135"}, {"ref": "altairvieuxshateu/notebookeeb6f8c3cd", "kernel_id": "17872715"}, {"ref": "anandhuh/titanic-simple-solution-top-12", "kernel_id": "17335527"}, {"ref": "anandhuh/analysing-data-with-pivot-tables-beginners-guide", "kernel_id": "17692121"}, {"ref": "naimboraatlay/dt-classifier-model-on-titanic", "kernel_id": "17104890"}, {"ref": "sunzhong1223/titanic-ml", "kernel_id": "17506874"}, {"ref": "nguynvnphong/titanic-lr", "kernel_id": "17675218"}, {"ref": "suyashlakhani/titanic-competition-beginner-top-10", "kernel_id": "17357859"}, {"ref": "anu332/titanic-dataset-logistic-regression", "kernel_id": "17564997"}, {"ref": "lavanyaanandm/titanic-machine-learning-from-disaster", "kernel_id": "17720354"}, {"ref": "ashish13898/ml-titanic-challenge", "kernel_id": "17489244"}, {"ref": "ramakrishnanna18b030/kernel-titanic-machine-learning-from-disaster", "kernel_id": "17320465"}, {"ref": "onurunaall/onur-unal-titanik-eda", "kernel_id": "17454927"}, {"ref": "jerifate/titanic-purple-visualization-for-starter", "kernel_id": "17351964"}, {"ref": "jihenbelhoudi/titanic", "kernel_id": "17861029"}, {"ref": "yash10kundu/titanic-ml-from-disaster", "kernel_id": "17668274"}, {"ref": "parvezsohail/titanic-survival-prediction-challenge", "kernel_id": "17623699"}, {"ref": "burhanuddinraja/titanic-passengers-survived-predictions", "kernel_id": "17184483"}, {"ref": "maryamsharifi/logisticregression-titanic", "kernel_id": "17578697"}, {"ref": "hunhthanhphong/titanic", "kernel_id": "17482076"}, {"ref": "ashokkumarpalivela/feature-engineering-h2o-auto-ml", "kernel_id": "17137691"}, {"ref": "harshmistry97/titanic-using-eda-logistic-random-forest", "kernel_id": "17392299"}, {"ref": "abdomahmoud666/titanic-prediction", "kernel_id": "17790201"}, {"ref": "wkybayonet/learn-titanic", "kernel_id": "17320910"}, {"ref": "srishtayy/titanic-dataset-using-random-forest-classifier", "kernel_id": "17027493"}, {"ref": "julianwillis/learning-ml-titanic", "kernel_id": "17853645"}, {"ref": "harshdubey78/titanic-eda-methods", "kernel_id": "17483818"}, {"ref": "harshdubey78/titanic-eda-modelling-beginner", "kernel_id": "17345689"}, {"ref": "alimazaheri/titanic", "kernel_id": "17283692"}, {"ref": "gracea2020/titanic-beginner-solution", "kernel_id": "17716091"}, {"ref": "rml2020/titanic-model", "kernel_id": "17716478"}, {"ref": "paulronald/titanic-beginner-submission", "kernel_id": "17782326"}, {"ref": "shanelovell/titanic-proj", "kernel_id": "17796951"}, {"ref": "cynthiap2020/titanic-code-using-linear-regression-top-7", "kernel_id": "17903017"}, {"ref": "vadim2022/titanic-code-using-linear-regression-top-7", "kernel_id": "17918900"}, {"ref": "arnold2022/end-to-end-machine-learning-project", "kernel_id": "17920715"}, {"ref": "amit2022/titanic-prediction-svm", "kernel_id": "17921053"}, {"ref": "ronny2021/titanic-basic-solution-using-adaboost", "kernel_id": "17940159"}, {"ref": "abhilashscaria/titanic-prediction-using-random-forest-classifier", "kernel_id": "17709150"}, {"ref": "rajivsinha2021/titanic-disaster", "kernel_id": "17991530"}, {"ref": "joanneanto/titanic-prediction", "kernel_id": "17652803"}, {"ref": "joanneanto/analysing-data-with-pivot-tables", "kernel_id": "17698937"}, {"ref": "archananarayanan/exploratory-data-analysis", "kernel_id": "17792916"}, {"ref": "archananarayanan/pivot-table-using-pandas-in-python", "kernel_id": "17712798"}, {"ref": "archananarayanan/titanic-machine-learning", "kernel_id": "17713111"}, {"ref": "sandraphari/titanic-prediction-top-26", "kernel_id": "17313749"}, {"ref": "thasnihakeem/titanic-code-using-randomforestclassifier", "kernel_id": "17726888"}, {"ref": "thasnihakeem/titanic-code-using-linear-regression-top-7", "kernel_id": "17590609"}, {"ref": "thasnihakeem/making-pivot-table-of-titanic-data-set-using-panda", "kernel_id": "17852399"}, {"ref": "vijayvvenkitesh/titanic-prediction", "kernel_id": "17282546"}, {"ref": "aparnajayanv/titanic-survival-prediction-linear-regression", "kernel_id": "17854517"}, {"ref": "aparnajayanv/pivot-table-using-pandas-in-python", "kernel_id": "17833337"}, {"ref": "aryakrishnanar/titanic-survival-prediction", "kernel_id": "17667542"}, {"ref": "aryakrishnanar/data-analysis-using-pivot-table", "kernel_id": "17716985"}, {"ref": "anjalisrajan/titanic-random-forest", "kernel_id": "17750440"}, {"ref": "anjalisrajan/decisiontree-titanic", "kernel_id": "17755855"}, {"ref": "anjalisrajan/pivot-table", "kernel_id": "17755401"}, {"ref": "anjalisrajan/titanic-linearregression", "kernel_id": "17680839"}, {"ref": "prabinraj/simple-operations-using-pandas", "kernel_id": "17851114"}, {"ref": "prabinraj/titanic-dataset-prediction", "kernel_id": "17636134"}, {"ref": "rajgupta2019/how-to-handle-correlated-features", "kernel_id": "17348758"}, {"ref": "annatuarsheva/titanic-hw2", "kernel_id": "17359956"}, {"ref": "fathimashemeema/titanic-kneighbors", "kernel_id": "17750043"}, {"ref": "fathimashemeema/titanic-randomforestclassifier", "kernel_id": "17750370"}, {"ref": "fathimashemeema/titanic-decision-tree-classifier", "kernel_id": "17750549"}, {"ref": "fathimashemeema/titanic-pivot-table", "kernel_id": "17751013"}, {"ref": "fathimashemeema/linearregressionmodel-titanic", "kernel_id": "17706936"}, {"ref": "arunayyappan3936/titanic-basic-solution-using-adaboost", "kernel_id": "17624334"}, {"ref": "vibhorsen/titanic-challenge-one", "kernel_id": "17366249"}, {"ref": "keekiayun/titanic-machine-learning-from-disaster", "kernel_id": "17256276"}, {"ref": "tombowe/synthetic-data-creation-titanic-dataset", "kernel_id": "17367315"}, {"ref": "anvithaaravinda/titanic", "kernel_id": "17984826"}, {"ref": "nidhimittal9/titanic-disaster-with-r", "kernel_id": "17164392"}, {"ref": "kusunosetomoki/notebook0941ee8478", "kernel_id": "17999661"}, {"ref": "afan0918/titanic", "kernel_id": "17712578"}, {"ref": "danielmoreiradesousa/titanic-analysis-top-13", "kernel_id": "17209077"}, {"ref": "mohit335448/submission", "kernel_id": "17749419"}, {"ref": "junichih/titanic-simple-template", "kernel_id": "17508963"}, {"ref": "taoye0527/titanic-machine-learning-from-disaster", "kernel_id": "17401535"}, {"ref": "cengizhanahin/first-kaggle-notebook-titanic-dataset", "kernel_id": "17950947"}, {"ref": "grkemdoan/titanic", "kernel_id": "17598064"}, {"ref": "kirillpereshitov/homework-2", "kernel_id": "17293504"}, {"ref": "lu1kaifeng/henu-software-luchengeng-ml", "kernel_id": "17687223"}, {"ref": "majedmajed/getting-started-with-titanic", "kernel_id": "17319594"}, {"ref": "yeonsulee77/titanic-version-1-0", "kernel_id": "17322755"}, {"ref": "brennolins/titanic-prediction", "kernel_id": "17066873"}, {"ref": "ahmedmohamedmahrous/titanic-solution-ml", "kernel_id": "17486283"}, {"ref": "jaysrivastav/notebook927d97041e", "kernel_id": "17267337"}, {"ref": "shrikanthnalla/notebookc4c250f3a2", "kernel_id": "17560188"}, {"ref": "shrikanthnalla/notebook4582b09c38", "kernel_id": "17541680"}, {"ref": "asheshtadaiya/titanic-competition-solution", "kernel_id": "17064387"}, {"ref": "tarunsolanki/titanic-prediction", "kernel_id": "17589375"}, {"ref": "rhul007/beginners-titanic-dataset", "kernel_id": "17251485"}, {"ref": "bhanushahi/titanic-dataset-prediction", "kernel_id": "17300938"}, {"ref": "immolator/titanic-survival-random-forest-classifier", "kernel_id": "17379476"}, {"ref": "quochuynguyenhuynh/my-titanic-prediction-newbie", "kernel_id": "17213495"}, {"ref": "vedangnadkarni/titanic-practice", "kernel_id": "17035087"}, {"ref": "hugoferuglio/titanic-projet-1", "kernel_id": "17893611"}, {"ref": "fukibabasaki/my-notebook-titanic", "kernel_id": "17466864"}, {"ref": "anantsakhare/titanic-submission", "kernel_id": "17324060"}, {"ref": "harshalhiwarkar/titanic-survival-prediction", "kernel_id": "17970343"}, {"ref": "tanajibhosale/first-notebook-first-ml", "kernel_id": "17688122"}, {"ref": "radhika005/titanic-classification-005", "kernel_id": "17129108"}, {"ref": "alwaysddr/eda-tools-xgboost-logisticreg-with-76-5", "kernel_id": "17249795"}, {"ref": "alwaysddr/titanic-prediction-with-76-5", "kernel_id": "17157618"}, {"ref": "thomasmorgan138/titanic-survival-predictions", "kernel_id": "17291878"}, {"ref": "hozanareis/titanic-machine-learning-from-disaster", "kernel_id": "17905019"}, {"ref": "manasvinarayan/titanic-ml", "kernel_id": "17460961"}, {"ref": "shrijoychowdhury/titanic-ml-with-different-models-83-accuracy", "kernel_id": "17882918"}, {"ref": "mondolmridulprovakar/mondol-titanic-dataset", "kernel_id": "17330634"}, {"ref": "ihazun01/titanic-beginners", "kernel_id": "17291148"}, {"ref": "santhoshkakarla/notebook9e4e4c524c", "kernel_id": "17733404"}, {"ref": "santhoshkakarla/notebookb11069818f", "kernel_id": "17397225"}, {"ref": "charlottepetters/notebook3408bd6390", "kernel_id": "17526155"}, {"ref": "anshalsingh/titanic-dataset", "kernel_id": "17016375"}, {"ref": "gonzalozabalagarca/titanic-survivors", "kernel_id": "17725255"}, {"ref": "shefalishettyy/titanic-prediction", "kernel_id": "17057046"}, {"ref": "matthewcha/titanic-go-here-after-the-initial-tutorial", "kernel_id": "17216441"}, {"ref": "animeshrockn/titanic-with-ml-models", "kernel_id": "17063670"}, {"ref": "animeshrockn/logistic-regression-model", "kernel_id": "17004873"}, {"ref": "animeshrockn/neural-net-dropout-model", "kernel_id": "17019398"}, {"ref": "chaeelee/titanic", "kernel_id": "17517111"}, {"ref": "diyadodwad/notebookac3378ec06", "kernel_id": "17110583"}, {"ref": "salubris/beginner-titanic-test", "kernel_id": "17135108"}, {"ref": "bluewzq/201841792wzq", "kernel_id": "17121111"}, {"ref": "suniti0804/getting-started-with-titanic", "kernel_id": "17016421"}, {"ref": "quentinmcteer/tidymodels-in-r-top-10-titanic-score", "kernel_id": "17726140"}, {"ref": "merinjoseph/titanicsurvival", "kernel_id": "17921264"}, {"ref": "felder81/kaggle-titanic-competition", "kernel_id": "17131027"}, {"ref": "gokulkatoch/titanic-xgboost", "kernel_id": "17421072"}, {"ref": "chandrajoshi/final-updated", "kernel_id": "17666552"}, {"ref": "artemya/notebook4b6abfde30", "kernel_id": "17827629"}, {"ref": "merve8/getting-started-with-titanic", "kernel_id": "17534261"}, {"ref": "prabhatm0307/titanic-logistic-regression", "kernel_id": "17309363"}, {"ref": "chaitrabg/titanic-classification-top-5", "kernel_id": "17129113"}, {"ref": "arisdarmawan/titanic-random-forest-and-gradient-boosting", "kernel_id": "17160544"}, {"ref": "ugleplastik/notebook5ea9f75f02", "kernel_id": "17826068"}, {"ref": "ajayverma4/titanic-survey-of-classification-methods", "kernel_id": "17652792"}, {"ref": "josephkum/titanic-survivors-second-try", "kernel_id": "17597030"}, {"ref": "helvetica822/titanic-randomforest", "kernel_id": "17867071"}, {"ref": "mdjohirulislam/titanic-machine-learning-from-disaster", "kernel_id": "17427199"}, {"ref": "adarsh101kumar/aktitanickaggle", "kernel_id": "17830491"}, {"ref": "andrewchu1999/titanic-rf", "kernel_id": "17400835"}, {"ref": "sufiyansiddiqui/titanic-data-set-with-all-supervised-ml-algorithms", "kernel_id": "17027535"}, {"ref": "chiru12/titanic-cj-catb", "kernel_id": "17390986"}, {"ref": "sh0wmaker/gray-theme-eda-feature-engineering-modeling", "kernel_id": "17653130"}, {"ref": "nicolecharron/titanic-nicole", "kernel_id": "17152149"}, {"ref": "diegoquintanaesteve/titanic-first-data-science-project", "kernel_id": "17881674"}, {"ref": "babymlin/titanic-randomforest-79", "kernel_id": "17014776"}, {"ref": "shubinandrey/notebook7b3ba47fbb", "kernel_id": "17696510"}, {"ref": "jinhyunkwon/logisticregression", "kernel_id": "17094052"}, {"ref": "linbigrain/titanic-practice", "kernel_id": "17115590"}, {"ref": "manishlalwani1712/notebook283f903ba4", "kernel_id": "17156974"}, {"ref": "manishlalwani1712/notebookadac8b2d7c", "kernel_id": "17212776"}, {"ref": "archoi/0624-titanic", "kernel_id": "17997083"}, {"ref": "shaheemuddinfarooqui/titanic-logisticregression", "kernel_id": "17691879"}, {"ref": "maskerli05155/python-kaggle-start-book-ch02-01", "kernel_id": "17580083"}, {"ref": "smrampur/shiva-first-code", "kernel_id": "17317075"}, {"ref": "muhammadimran112233/titanic-a-complete-tutorial-of-data-science", "kernel_id": "17055204"}, {"ref": "shithavengara/pivot-table-using-titanic-dataset", "kernel_id": "17711120"}, {"ref": "shithavengara/titanic-prediction-svm", "kernel_id": "17890923"}, {"ref": "kritchais/tigertictac-s-titanic-competition-lr", "kernel_id": "17681283"}, {"ref": "mysarahmadbhat/types-of-transformations-for-better-distribution", "kernel_id": "17423661"}, {"ref": "caiofernandeslima/end-to-end-machine-learning-project", "kernel_id": "17563531"}, {"ref": "allancartum/trabalho-maua", "kernel_id": "17152485"}, {"ref": "dirkmcnealy/first-swing-at-titanic", "kernel_id": "17338412"}, {"ref": "reddykishore/titanic-randomforest", "kernel_id": "17486663"}, {"ref": "musabahmed/top-25-1st-competition-titanic", "kernel_id": "17360390"}, {"ref": "stanislavskitsiuk/lab3ggwp", "kernel_id": "17350318"}, {"ref": "konovalvolodymyr/ml-lab3", "kernel_id": "17238846"}, {"ref": "kurochkinalexey/titanic-deep-learning-vs-randomforestclassifier", "kernel_id": "17394697"}, {"ref": "sayedhd/notebook1dd964975b", "kernel_id": "17304548"}, {"ref": "ecampelo29/titanic-ml", "kernel_id": "17035425"}, {"ref": "valeriiazheleznova/ml-lab3", "kernel_id": "17110539"}, {"ref": "egorderiugin/ml-lab3", "kernel_id": "17355297"}, {"ref": "egorderiugin/notebookdac00dea1d", "kernel_id": "17359902"}, {"ref": "shotarosasaki/titanic", "kernel_id": "17502542"}, {"ref": "juanliong/titanic-survival-prediction-problem", "kernel_id": "17053778"}, {"ref": "rizkyefendri/titanic-submission", "kernel_id": "17440279"}, {"ref": "yanhaili/titanic", "kernel_id": "17102322"}, {"ref": "muhammadmoinfaisal/titanic-dataset-machine-learning", "kernel_id": "17460907"}, {"ref": "konstantinsuloevjr/titanic-eda-rf-top-7", "kernel_id": "17264220"}, {"ref": "shreyashchaudhary/titanic", "kernel_id": "17490295"}, {"ref": "ilyakozachenko/lab3kpi", "kernel_id": "17220483"}, {"ref": "stuppym/stuppy-titanic-prediction-21", "kernel_id": "17375035"}, {"ref": "divypagariya/first-ml-competition", "kernel_id": "17587528"}, {"ref": "ajaysinghkhardia/new-approach-to-titanic", "kernel_id": "17124246"}, {"ref": "sakshamjoshi/titanic", "kernel_id": "17297315"}, {"ref": "deepeshbhatnagar/titanic-data-analysis", "kernel_id": "17875165"}, {"ref": "arunsajisamuel/titanic-eda-and-predictions-top-13", "kernel_id": "17522833"}, {"ref": "oladeleoluwaseun/my-titanic-entry", "kernel_id": "17121833"}, {"ref": "umairnaeem/titanic-prediction", "kernel_id": "17752283"}, {"ref": "matinnb/neural-network", "kernel_id": "17488831"}, {"ref": "aibuzz/titanic-ml-from-disaster", "kernel_id": "17355433"}, {"ref": "lmnswrth/notebook07a25ccef9", "kernel_id": "17675173"}, {"ref": "srinivasrbhat/my-first-titanic-notebook", "kernel_id": "17158497"}, {"ref": "burakerdoan/titanic-notebook1", "kernel_id": "17356874"}, {"ref": "mukutsharma/titanic", "kernel_id": "17894113"}, {"ref": "rachelbrestansky/a-titanic-solution-using-keras", "kernel_id": "17114720"}, {"ref": "georgiterziev/notebook8aba890681", "kernel_id": "17669681"}, {"ref": "maximseveryn/bestsubmission", "kernel_id": "17313720"}, {"ref": "maximseveryn/klaster", "kernel_id": "17327575"}, {"ref": "sonihimanshu/titanic-ml-problem-beginner-s-attempt", "kernel_id": "17325862"}, {"ref": "madhavms1/comp-titanic", "kernel_id": "17097356"}, {"ref": "plukreneldilao/titanic-v4", "kernel_id": "17122905"}, {"ref": "zhuhaoqi/logreg-rf-lgbm-for-titanic", "kernel_id": "17300216"}, {"ref": "senthilms/merging-fe-prediction-xgb-lgb-logr-linr", "kernel_id": "17631780"}, {"ref": "codyclass/cody-interactive-ml-titanic-survival", "kernel_id": "17109083"}, {"ref": "denimthangjam/titanic", "kernel_id": "17361228"}, {"ref": "jrpark3797/house-prices-titanic-automl", "kernel_id": "17058230"}, {"ref": "sharmaaashay/titanic-eda-prediction-top-4", "kernel_id": "17049604"}, {"ref": "anastasiaoromanova/titanic-tutorial", "kernel_id": "17414635"}, {"ref": "mcahitoturak/titanic-dataset-machine-learning-top-6-0-79", "kernel_id": "17233027"}, {"ref": "patilksayali/titanic-machine-learning-from-disasters", "kernel_id": "17457323"}, {"ref": "nguynphmkhoa/titanic-prediction", "kernel_id": "17264438"}, {"ref": "mohitanandsrivastava/fork-of-titanicdatasets80", "kernel_id": "17965057"}, {"ref": "christianriverads/logistic-regression-titanic-2", "kernel_id": "17359909"}, {"ref": "samsonteo/titanic006", "kernel_id": "17186480"}, {"ref": "erdemekbic/titanic-eda", "kernel_id": "17068181"}, {"ref": "adilsoya/titanic-start-project", "kernel_id": "17126674"}, {"ref": "itsmanas/titanic-prediction", "kernel_id": "17496864"}, {"ref": "kokichit/udemy-lesson1-randomforest-new", "kernel_id": "17683156"}, {"ref": "kokichit/udemy-lesson3-engineering-new", "kernel_id": "17701342"}, {"ref": "orlandosols1294/o-solis-6", "kernel_id": "17535498"}, {"ref": "toshiakikunitomi/titanic", "kernel_id": "17871983"}, {"ref": "maxiaoxue/201841789", "kernel_id": "17074541"}, {"ref": "kavitakhandelwal1234/titanic-notebook-solution", "kernel_id": "17135494"}, {"ref": "rhythmcam/titanic-challenge-decisiontreeclassifier", "kernel_id": "17612378"}, {"ref": "denamonjazebi/dena-titanic-comp", "kernel_id": "17114137"}, {"ref": "onedatareader/titanic-data-analysis", "kernel_id": "17028071"}, {"ref": "vaishakhshetty/titanic-survival-prediction-model", "kernel_id": "17522798"}, {"ref": "matthewmaddock/titanic-with-sk-learn", "kernel_id": "17039115"}, {"ref": "esmondlun/titanic-competition", "kernel_id": "17671538"}, {"ref": "erdenabaatar/nandin-titanic", "kernel_id": "17953128"}, {"ref": "wandll/learn-titanic", "kernel_id": "17008735"}, {"ref": "samaherkh/titanic-model", "kernel_id": "17128769"}, {"ref": "onlibra/notebook5acf89fb68", "kernel_id": "17138027"}, {"ref": "xylkuode/notebookb37704ea9c", "kernel_id": "17138685"}, {"ref": "wrongplanet/notebook3a050f4f40", "kernel_id": "17138332"}, {"ref": "luoyexintong/notebook268a8ace46", "kernel_id": "17138234"}, {"ref": "jiushizhichou/notebook8b02d4ac0f", "kernel_id": "17126452"}, {"ref": "akshatone/titanic-dataset", "kernel_id": "17120086"}, {"ref": "ankita01145/titanic-eda", "kernel_id": "17068687"}, {"ref": "harakosuke/notebookf0de3e20c9", "kernel_id": "17993780"}, {"ref": "ezgituna/getting-started-with-titanic-rfc-model", "kernel_id": "17214967"}, {"ref": "archiss/titanicprediction", "kernel_id": "17546009"}, {"ref": "wangqianqianqq/notebook3bf35548fb", "kernel_id": "17124654"}, {"ref": "jinjiaanqiang/notebook07624b82a4", "kernel_id": "17079307"}, {"ref": "nimitvikrama/eda-titanic", "kernel_id": "17037937"}, {"ref": "tomoyakawauchi/notebook14526b3b4e", "kernel_id": "17983119"}, {"ref": "tomoyakawauchi/notebookd5ee778a92", "kernel_id": "17984129"}, {"ref": "bilalatiq/titanic-explanatory-data-analysis", "kernel_id": "17181149"}, {"ref": "tns870/notebook37935f3d2c", "kernel_id": "17951380"}, {"ref": "jonnathanhurtado/notebookcec51dfebf", "kernel_id": "17568222"}, {"ref": "nayibsarmiento/ml-myfirststeptitanic", "kernel_id": "17566301"}, {"ref": "veronikasuprunovich/titanic-s-survivors-prediction", "kernel_id": "17863922"}, {"ref": "kain1110/notebookb577fd5fe7", "kernel_id": "17867931"}, {"ref": "yuasa7/score82-2", "kernel_id": "17998705"}, {"ref": "illiyakhitruk/notebooktitansclab-3-4", "kernel_id": "17395456"}, {"ref": "illiyakhitruk/notebookelab3-ca", "kernel_id": "17374172"}, {"ref": "joshuagornall/titanic-improvements", "kernel_id": "17299387"}, {"ref": "telebeltran/titanic-sample4", "kernel_id": "17926691"}, {"ref": "takanorifukuhara/notebook4f18567e8c", "kernel_id": "17873156"}, {"ref": "matsugiyuki/notebook00aa1bb165", "kernel_id": "17996959"}, {"ref": "zhaohaozhang/notebookb1d2c53302", "kernel_id": "17129014"}, {"ref": "shubhamagrawal999/titanic-disaster1", "kernel_id": "17848875"}, {"ref": "pierreadel/data-mining-project", "kernel_id": "17587872"}, {"ref": "rainheavyyy/notebookcbcf9637e2", "kernel_id": "17872909"}, {"ref": "zhaosonglei/zhaosonglei", "kernel_id": "17120204"}, {"ref": "keisukekato/titanic2", "kernel_id": "17819538"}, {"ref": "wangkaixuan86/notebook59745486fc", "kernel_id": "17876127"}, {"ref": "hekai12111/hekai201841791", "kernel_id": "17140913"}, {"ref": "hekai12111/notebooke1a22a4813", "kernel_id": "17136902"}, {"ref": "rijudasgupta/knn-logistic-regression-decision-tree-applying", "kernel_id": "17652546"}, {"ref": "ajaybabua/titanic-machine-learning-from-disaster", "kernel_id": "17915990"}, {"ref": "maedanozomi/notebook744466c4a3", "kernel_id": "17982991"}, {"ref": "nutthapolw/titanic-disaster", "kernel_id": "17084328"}, {"ref": "takeuchitakahiro/notebookfcd8f96ee7", "kernel_id": "17925583"}, {"ref": "takeichiatsuki/notebookef45719a45", "kernel_id": "17916287"}, {"ref": "pujaarchanasahu/titanic-classification", "kernel_id": "17223741"}, {"ref": "sasakiryuji/notebookd9d5c95f16", "kernel_id": "17954859"}, {"ref": "sasakiryuji/notebook3fe7645fd1", "kernel_id": "17955168"}, {"ref": "sasakiryuji/notebook80ff7f7cdb", "kernel_id": "17955653"}, {"ref": "emtiazahmad/titanic-logistic-regression-with-python", "kernel_id": "17127659"}, {"ref": "riverfernanda/shepy-train-challenge", "kernel_id": "17361183"}, {"ref": "ankitthebemer/using-catboost-for-titanic-prediction", "kernel_id": "17865566"}, {"ref": "ngfkf1vv5ot6/qiita-titanic-2", "kernel_id": "17871006"}, {"ref": "ngfkf1vv5ot6/qiita-titanic", "kernel_id": "17658039"}, {"ref": "cabirerguven/week19-titanic", "kernel_id": "17592225"}, {"ref": "tatsyaishikawa/svm04", "kernel_id": "17844871"}, {"ref": "tatsyaishikawa/svm02", "kernel_id": "17592757"}, {"ref": "megacookie/second-attempt-titanic", "kernel_id": "17166301"}, {"ref": "evgenigeorg/titanic-ml-competition-with-mlr3-r", "kernel_id": "17188691"}, {"ref": "dylanchoi/starter-simple-eda", "kernel_id": "17003428"}, {"ref": "ryomasuemura/randomforest", "kernel_id": "17843658"}, {"ref": "niharshah1567/eda-on-titanic-dataset", "kernel_id": "17228584"}, {"ref": "niharshah1567/logistic-regression-on-titanic-dataset", "kernel_id": "17252384"}, {"ref": "tomokiacc/notebook6f04db42c5", "kernel_id": "17872645"}, {"ref": "peerawichpru/notebook6c3ae06f3d", "kernel_id": "17952679"}, {"ref": "lxd1997/notebooke394e6b289", "kernel_id": "17976737"}, {"ref": "hatanakakengo/notebook7346a980fa", "kernel_id": "17962174"}, {"ref": "egemenuurdalg/titanic", "kernel_id": "17398328"}, {"ref": "hshibayama/notebook34f977f072", "kernel_id": "17872388"}, {"ref": "patrciamacedo/titanic-eda-and-predictions", "kernel_id": "17559175"}, {"ref": "shimouraryu/titanic-train", "kernel_id": "17914890"}, {"ref": "bbksjdd/random-forest-titanic", "kernel_id": "17343764"}, {"ref": "sana306/ss-started-with-titanic", "kernel_id": "17303092"}, {"ref": "ggggggggukuk/notebook63d8df13a8", "kernel_id": "17962857"}, {"ref": "niidaisuke/notebooka090476273", "kernel_id": "17926755"}, {"ref": "itsraghav/notebook119d7e29c2", "kernel_id": "17294700"}, {"ref": "waldnoahy/notebook964fd4ded4", "kernel_id": "17873064"}, {"ref": "rohanv98/titanic-survivors", "kernel_id": "17005733"}, {"ref": "shitosakaora/notebook0daa9b1fe0", "kernel_id": "17934962"}, {"ref": "lijhaowei/notebook952564a70f", "kernel_id": "17890988"}, {"ref": "shivam017arora/titanic-eda-imputation-modelling-top21", "kernel_id": "17029650"}, {"ref": "tatifdz/titanic", "kernel_id": "17542528"}, {"ref": "atsukisasada/notebook56c0e13038", "kernel_id": "17960047"}, {"ref": "datareport/notebook5831aba483", "kernel_id": "17958504"}, {"ref": "nishidriss/titanic-survivors", "kernel_id": "17007535"}, {"ref": "omarsaad72/notebook93a869c5bb", "kernel_id": "17664294"}, {"ref": "masaharukato/notebook0371ee9602", "kernel_id": "17960033"}, {"ref": "taigasogame/kneighborsclassifier", "kernel_id": "17874042"}, {"ref": "taigasogame/notebookfb3439e615", "kernel_id": "17872776"}, {"ref": "venkatsubramanianrm/titanic", "kernel_id": "17013931"}, {"ref": "pguptaironside/notebook5289702936", "kernel_id": "17097450"}, {"ref": "kiranramakrishna/titanic-new", "kernel_id": "17104307"}, {"ref": "yamazakiyuki/notebooka816f8395f", "kernel_id": "17872471"}, {"ref": "anjalianupam/nb1-titanic-challenge", "kernel_id": "17585957"}, {"ref": "wildshire/getting-started-titanic", "kernel_id": "17250783"}, {"ref": "sjn123/titanic-survival-analysis", "kernel_id": "17097959"}, {"ref": "ngelsesma/retotitanic", "kernel_id": "17163981"}, {"ref": "preet55/introduction-to-decision-trees-titanic-dataset", "kernel_id": "17051378"}, {"ref": "leandroduarte/titanic", "kernel_id": "17112371"}, {"ref": "rajadv/titanic", "kernel_id": "17096532"}, {"ref": "abhijatasen/notebook8b34e71467", "kernel_id": "17480677"}, {"ref": "hrushikeshpatil12/notebook75fbdeacf6", "kernel_id": "17436432"}, {"ref": "luisacoutinho/competition-titanic", "kernel_id": "17087031"}, {"ref": "noritomowatanabe/titanic1", "kernel_id": "17090200"}, {"ref": "gulnigdelioglu/titanicsurvive", "kernel_id": "17171225"}, {"ref": "mohamedashraf99/ml-titanic", "kernel_id": "17455310"}, {"ref": "pavlokoliada/titanikstartedpack", "kernel_id": "17262900"}, {"ref": "ilaydarslan/titanic", "kernel_id": "17191330"}, {"ref": "zzzdddd/jixie", "kernel_id": "17128312"}, {"ref": "xiemingmingyyde/notebook854f6f7168", "kernel_id": "17138293"}, {"ref": "hongzhaozhi/notebook123456abc", "kernel_id": "17139005"}, {"ref": "zhaoxindebaobei/titan", "kernel_id": "17138397"}, {"ref": "divyanshkanodia11f/notebook0f652a2c61", "kernel_id": "17128244"}, {"ref": "gengyyds/notebook583ce09370", "kernel_id": "17138457"}, {"ref": "anpeng0/notebook8bbe2aa3ba", "kernel_id": "17128877"}, {"ref": "shamyy/titanic-model", "kernel_id": "17316807"}, {"ref": "mohamadakram/notebook31023cf791", "kernel_id": "17692000"}, {"ref": "adhirajpratapsingh/notebook703b3511b8", "kernel_id": "17191024"}, {"ref": "pablolecavalierruiz/formation-c-gep-sainte-foy-r-gression-logistique", "kernel_id": "17377408"}, {"ref": "pablolecavalierruiz/formation-c-gep-sainte-foy-k-voisin", "kernel_id": "17386210"}, {"ref": "pablolecavalierruiz/formation-c-gep-sainte-foy-decisiontreeclassifier", "kernel_id": "17665417"}, {"ref": "z1455876282/notebook35ec2490a5", "kernel_id": "17141104"}, {"ref": "z1455876282/201841759zjx", "kernel_id": "17137784"}, {"ref": "yangxiaoa/notebook6f5608c17e", "kernel_id": "17138786"}, {"ref": "chenchenchenchenq/notebookccccc", "kernel_id": "17139387"}, {"ref": "rishabhagarwal2021/titanic-ml", "kernel_id": "17303094"}, {"ref": "houninga/notebookd89bd7da6c", "kernel_id": "17139235"}, {"ref": "czl666/chenzilin", "kernel_id": "17143139"}, {"ref": "liusansansansan/201841768-likai", "kernel_id": "17141202"}, {"ref": "yasiruvinodpathirana/starting-with-titanic-ml", "kernel_id": "17335234"}, {"ref": "feisisb/201841760", "kernel_id": "17141478"}, {"ref": "qqqwo139wml/201841781", "kernel_id": "17141625"}, {"ref": "xujiaweia/xujiawei-01", "kernel_id": "17143988"}, {"ref": "goushi/wangyu01", "kernel_id": "17143766"}, {"ref": "liangzhentong/tonglaoye", "kernel_id": "17144283"}, {"ref": "wushuo123/wushuo01", "kernel_id": "17145436"}, {"ref": "wushuo123/wushuo1-titanic", "kernel_id": "17144319"}, {"ref": "weiqiang123/weiqiang", "kernel_id": "17144622"}, {"ref": "kwonmh/titanci", "kernel_id": "17629297"}, {"ref": "matsuzakazenta/titanic-tutorial", "kernel_id": "17145076"}, {"ref": "carrrmelo/notebookaf5bd759d0", "kernel_id": "17145337"}, {"ref": "shahid119/notebook97bc338b18", "kernel_id": "17829416"}, {"ref": "amiraalaa/titanic", "kernel_id": "17594998"}, {"ref": "karimmahmoud1999/titanic-competition", "kernel_id": "17700062"}, {"ref": "karimmahmoud1999/titanic", "kernel_id": "17701070"}, {"ref": "mostafasaad127/titanicproj", "kernel_id": "17701071"}, {"ref": "chiragsharma89/my-first-titanic-notebook", "kernel_id": "17162165"}, {"ref": "aashkamohite/titanic", "kernel_id": "17338565"}, {"ref": "tusharsantoshraut/notebookbd811b50e5", "kernel_id": "17256730"}, {"ref": "aiyiyangzhou/titanic-fast", "kernel_id": "17460337"}, {"ref": "harshalthachapully/getting-started-with-titanic", "kernel_id": "17308715"}, {"ref": "seiboo/notebookbecc9100aa", "kernel_id": "17220440"}, {"ref": "aisljoongho/01-15010788", "kernel_id": "17770838"}, {"ref": "vasilyprokopenko/notebookcc72ac3365", "kernel_id": "17224689"}, {"ref": "vasilyprokopenko/notebook7ffaf50e80", "kernel_id": "17224756"}, {"ref": "matthewjbyun/titanic-project", "kernel_id": "17427970"}, {"ref": "colorfulintelligence/titanik-project-eda", "kernel_id": "17245272"}, {"ref": "syouichigyou/v1-04", "kernel_id": "17257012"}, {"ref": "krisjanispuduls/getting-started-with-titanic", "kernel_id": "17215877"}, {"ref": "abbashussainmuzammil/getting-started-with-titanic", "kernel_id": "17556573"}, {"ref": "fthgrsy/titanic-prediction", "kernel_id": "17335318"}, {"ref": "marvengers/titanic-model-3", "kernel_id": "17428881"}, {"ref": "rohit2019/titanic-survival-analysis", "kernel_id": "17226674"}, {"ref": "mykhailt/titanic-project-example-ktml-practice", "kernel_id": "17232845"}, {"ref": "agumonadzz/first-test", "kernel_id": "17247630"}, {"ref": "aleksandratelegina/titanic4", "kernel_id": "17385730"}, {"ref": "mikhailpyatkov/trial-enhancement-2", "kernel_id": "17381062"}, {"ref": "ddgaripov/garipov-titanic", "kernel_id": "17275309"}, {"ref": "siegfriedlevin/survive-titanic", "kernel_id": "17339199"}, {"ref": "liuzhiyuanchina/first-test", "kernel_id": "17257687"}, {"ref": "watcher2747/titanic-knn", "kernel_id": "17382057"}, {"ref": "sashayakhno/getting-started-with-titanic", "kernel_id": "17263594"}, {"ref": "masamichitoyama/titanic-20210621", "kernel_id": "17930541"}, {"ref": "iamvaishnavi/titanic", "kernel_id": "17331876"}, {"ref": "saeedja/titanic-tutorial", "kernel_id": "17352394"}, {"ref": "olgamakedonskaya/olgam", "kernel_id": "17307564"}, {"ref": "brandres/hw2better", "kernel_id": "17405871"}, {"ref": "anastasiaalysheva/homework2", "kernel_id": "17385986"}, {"ref": "abhishekyawalkar/outliers-missing-data-handling", "kernel_id": "17557200"}, {"ref": "abhishekyawalkar/feature-transformation-with-titanic", "kernel_id": "17546319"}, {"ref": "abhishekyawalkar/one-hot-encoding", "kernel_id": "17580329"}, {"ref": "nikitaanashkin/titanic-2-anashkin", "kernel_id": "17380468"}, {"ref": "nikitaanashkin/titanic-anashkin", "kernel_id": "17288434"}, {"ref": "arindampandit/titanic-disaster-eda", "kernel_id": "17429652"}, {"ref": "nikitalamnev/getting-started-with-titanic", "kernel_id": "17466708"}, {"ref": "kristinavinnik/getting-started-with-titanic", "kernel_id": "17291555"}, {"ref": "kristinavinnik/titanic-3rd-edition", "kernel_id": "17384541"}, {"ref": "kristinavinnik/titanic-4th-edition", "kernel_id": "17384611"}, {"ref": "kristinavinnik/titanic-2nd-edition", "kernel_id": "17380681"}, {"ref": "ediller/notebook-titanic", "kernel_id": "17319608"}, {"ref": "sasmitakumaripradhan/notebook715ec67e55", "kernel_id": "17315712"}, {"ref": "sasmitakumaripradhan/notebook3e232c63ce", "kernel_id": "17316054"}, {"ref": "tyukovigor/notebook109b2c0674", "kernel_id": "17316313"}, {"ref": "tyukovigor/notebookaa25730ba4", "kernel_id": "17401342"}, {"ref": "noobeenp/titanic-basic-solution-using-adaboost-3fda90", "kernel_id": "17318310"}, {"ref": "lucarielloc/titanic-1", "kernel_id": "17331331"}, {"ref": "marianosebastiansoto/titanic-soto-mariano-sistemas-de-gesti-n-utn", "kernel_id": "17973917"}, {"ref": "thomasjhu/notebooke555d17a82", "kernel_id": "17338489"}, {"ref": "ht631481/titanic-top-solution", "kernel_id": "17363764"}, {"ref": "junitasirait/1-analyze-ttnc", "kernel_id": "17457560"}, {"ref": "junhyeok99/tensorflow-titanic", "kernel_id": "17398266"}, {"ref": "isacciobota/titanic", "kernel_id": "17346079"}, {"ref": "amritasharma123/titanic-k-fold-cv-ensemble", "kernel_id": "17346171"}, {"ref": "fabioapliedai/titanic-tutorial", "kernel_id": "17350346"}, {"ref": "union13/genuine-super-cool-titanic-analysis", "kernel_id": "17350239"}, {"ref": "abdumaleek/titanic-by-team", "kernel_id": "17757230"}, {"ref": "asobod11138/xgboost-svm-neuralnet-ensemble", "kernel_id": "17389379"}, {"ref": "creatorzone/titanicprediction", "kernel_id": "17391700"}, {"ref": "saumyashuklaa/gettingstartedwithtitanic", "kernel_id": "17422024"}, {"ref": "shivmalhotra26/titanic-survival-prediction", "kernel_id": "17555604"}, {"ref": "ivankazimirov/titanicqualityimprovement", "kernel_id": "17396350"}, {"ref": "kobashi/titanic", "kernel_id": "17402955"}, {"ref": "daniilgaripov/notebook372c862d06", "kernel_id": "17406975"}, {"ref": "adamsuttonclt/titanic-1", "kernel_id": "17971049"}, {"ref": "fvakimoveduhseru/titanic", "kernel_id": "17408011"}, {"ref": "fvakimoveduhseru/titanic-2", "kernel_id": "17408722"}, {"ref": "shanmukhanunna/titanic-ml-problem-beginner-s-attempt", "kernel_id": "17485514"}, {"ref": "karamalhanatleh/1-titanc-1", "kernel_id": "17578928"}, {"ref": "torstensandmair/getting-started-with-titanic", "kernel_id": "17510156"}, {"ref": "torstensandmair/feature-engineering-titanic", "kernel_id": "17656766"}, {"ref": "heyrutvik/titanic-ml", "kernel_id": "17482898"}, {"ref": "hwngvb/titanic-kaggle", "kernel_id": "17444297"}, {"ref": "b0llb0ll/notebook1b035bc1a6", "kernel_id": "17471251"}, {"ref": "kun97er/titanic", "kernel_id": "17618607"}, {"ref": "jiyeonjeong02/nb1-titanic-challenge", "kernel_id": "17998367"}, {"ref": "abdielguerrerov/titanic-competition", "kernel_id": "17541176"}, {"ref": "luisdiegoarrieta/notebookcb6ac31c8b", "kernel_id": "17500681"}, {"ref": "eadrngrrsnchz/notebook-titanic", "kernel_id": "17502642"}, {"ref": "garyyehyl/titanic-gradient-boosting", "kernel_id": "17577679"}, {"ref": "ankarsingh/titanic-classification-using-woe-catboost", "kernel_id": "17541185"}, {"ref": "ankarsingh/full-eda-in-one-line-with-ui-and-graphs", "kernel_id": "17638849"}, {"ref": "kmishmael/titanic", "kernel_id": "17548966"}, {"ref": "sarabhian/titanic-survival-of-fittest-1-eda", "kernel_id": "17934167"}, {"ref": "rajanipentyala2/notebook3d560944eb", "kernel_id": "17664295"}, {"ref": "chingfang924/getting-started-with-titanic", "kernel_id": "17538100"}, {"ref": "kaedesasaki/notebook24f8aeec4e", "kernel_id": "17536893"}, {"ref": "delight11/getting-started-with-titanic", "kernel_id": "17536844"}, {"ref": "freddyguzman/notebooka8542ac194", "kernel_id": "17564570"}, {"ref": "eric2415/titanic", "kernel_id": "17928980"}, {"ref": "ylenlin/getting-start-with-titanic-new", "kernel_id": "17539468"}, {"ref": "moisespessoa/tarea-titanic", "kernel_id": "17539045"}, {"ref": "murari1235/titanic-data-set", "kernel_id": "17540883"}, {"ref": "stanislavvasyl/titanic-survival-modeling", "kernel_id": "17542126"}, {"ref": "sam66666/titanic666", "kernel_id": "17543540"}, {"ref": "gogoluo/06-08", "kernel_id": "17543544"}, {"ref": "veeechen/06-08-exercise", "kernel_id": "17543539"}, {"ref": "tsailin/titanic-challenge", "kernel_id": "17543546"}, {"ref": "rosejiwonpark/2013009-titanic", "kernel_id": "17886973"}, {"ref": "dhinakarswamy/feature-engineering-stacking-titanic-dataset", "kernel_id": "17936825"}, {"ref": "ogulcancol/titanic-eda", "kernel_id": "17745115"}, {"ref": "gangyuruhuwa/notebookf09e89dde3", "kernel_id": "17937396"}, {"ref": "gangyuruhuwa/notebookea22f29c65", "kernel_id": "17933507"}, {"ref": "stefanschulmeister87/titanic-competition-top-1", "kernel_id": "17775796"}, {"ref": "meeeow/notebook84e0ddb981", "kernel_id": "17851777"}, {"ref": "komal07p/prediction-on-titanic-s-misfortune", "kernel_id": "17937989"}, {"ref": "kozori/kernel726d228659", "kernel_id": "17904088"}, {"ref": "bluebird2021/notebookd60f57039a", "kernel_id": "17871942"}, {"ref": "sos1dir5/notebook1969a1c8b1", "kernel_id": "17868886"}, {"ref": "sos1dir5/kernel726d228659", "kernel_id": "17869443"}, {"ref": "konnyaku1234/notebookcf290abc64", "kernel_id": "17921154"}, {"ref": "konnyaku1234/notebook168efa542a", "kernel_id": "17924473"}, {"ref": "konnyaku1234/notebookdb8f3f42c3", "kernel_id": "17927965"}, {"ref": "rjos767/notebook603fd717cc", "kernel_id": "17874299"}, {"ref": "microtom/notebookfe1553e54a", "kernel_id": "17960630"}, {"ref": "microtom/notebook2b9b62e9eb", "kernel_id": "17961765"}, {"ref": "danieljudy/notebookbc346203f7", "kernel_id": "17872027"}, {"ref": "nk13060901/notebookedc6beb586", "kernel_id": "17871166"}, {"ref": "turtletortuga/notebook0d7058637e", "kernel_id": "17871164"}, {"ref": "khy7373/notebook4fe3d9cc0e", "kernel_id": "17871207"}, {"ref": "nakajimasota/notebookac57320614", "kernel_id": "17871653"}, {"ref": "nakajimasota/notebook9c6c7a0f22", "kernel_id": "17872740"}, {"ref": "tmhrooio/notebook8ab43dceea", "kernel_id": "17872288"}, {"ref": "sofcysk/notebook0aa0be2b09", "kernel_id": "17874172"}, {"ref": "hykwrn/notebook8fb666d3a6", "kernel_id": "17872307"}, {"ref": "perovskite555/notebookab8b8adc3a", "kernel_id": "17872322"}, {"ref": "perovskite555/notebook90b3352144", "kernel_id": "17874187"}, {"ref": "perovskite555/notebookb3bfc7b785", "kernel_id": "17874507"}, {"ref": "mohamedsaber7/sabertitanic", "kernel_id": "17673484"}, {"ref": "rafaelbetancur/titanic-prediction", "kernel_id": "17769666"}, {"ref": "sn6613/notebook726d228659", "kernel_id": "17872925"}, {"ref": "goose1212/notebook0611f5ad9a", "kernel_id": "17924233"}, {"ref": "gmdata/notebooke25c0e5be5", "kernel_id": "17999947"}, {"ref": "awajiphoto/notebook8b8d223350", "kernel_id": "17872884"}, {"ref": "gyutaro/notebook7eba555c35", "kernel_id": "17977812"}, {"ref": "satosatototototo/fork-of-notebookeda31b2d7b-cb760d", "kernel_id": "17811587"}, {"ref": "ayataka999/notebook8853308c06", "kernel_id": "17926049"}, {"ref": "mugicha999/notebook2d9a2abc68", "kernel_id": "17926130"}, {"ref": "phosphor0403/notebook342024eac6", "kernel_id": "17874173"}, {"ref": "phosphor0403/notebook52dcb828df", "kernel_id": "17872301"}, {"ref": "tomorisk/notebookf514360513", "kernel_id": "17874497"}, {"ref": "tomorisk/notebook5dce00f057", "kernel_id": "17873212"}, {"ref": "ishidauniv/notebook0c44aefb72", "kernel_id": "17773642"}, {"ref": "nammmmn/notebooke26a82ddd7", "kernel_id": "17873125"}, {"ref": "nammmmn/notebook1ef5cd4736", "kernel_id": "17873453"}, {"ref": "nammmmn/notebook8ddf20a6fe", "kernel_id": "17977392"}, {"ref": "jeanibarz/mlp-titanickaggle", "kernel_id": "17833520"}, {"ref": "rishiganeshan/second-try-titanic", "kernel_id": "17972081"}, {"ref": "snooowman/notebook05701198c4", "kernel_id": "17873177"}, {"ref": "snooowman/notebookbaa6e92f09", "kernel_id": "17874018"}, {"ref": "nao2021/notebook5f2583d9de", "kernel_id": "17976836"}, {"ref": "suminjung09/notebook88a270f601", "kernel_id": "17845960"}, {"ref": "minicow/notebookcc3cb4f3c6", "kernel_id": "17925511"}, {"ref": "suzukihidenari/notebook44f7297504", "kernel_id": "17915358"}, {"ref": "eyoxiao/titanic-first-practice-on-kaggle", "kernel_id": "17878594"}, {"ref": "kotera1230/notebook802f298265", "kernel_id": "17950390"}, {"ref": "supinenode/binary", "kernel_id": "17871831"}, {"ref": "ar1079/notebook25fb41b978", "kernel_id": "17873573"}, {"ref": "ar1079/notebooke81afb0e0c", "kernel_id": "17987699"}, {"ref": "ar1079/notebook12aef495e4", "kernel_id": "17987231"}, {"ref": "ytaka0211/survival-prediction-from-titanic-beginer", "kernel_id": "17891603"}, {"ref": "shoheikureba/notebook0bbe69e507", "kernel_id": "17872480"}, {"ref": "macbigsur/notebook52874b9cee", "kernel_id": "17953105"}, {"ref": "tokkitokki/notebooke008bf8ecf", "kernel_id": "17871168"}, {"ref": "noriti00/kernel6c2ad1bba", "kernel_id": "17872663"}, {"ref": "khr9016/notebookb468e7d98f", "kernel_id": "17890284"}, {"ref": "dogboark/notebook0d57f2f77e", "kernel_id": "17872279"}, {"ref": "chorus0101/notebook5f7ba31b01", "kernel_id": "17878024"}, {"ref": "kohsan/notebook02934862be", "kernel_id": "17873213"}, {"ref": "kobayashi4321/notebook93f90e63e9", "kernel_id": "17851704"}, {"ref": "ttttttt0/notebook54f45f415f", "kernel_id": "17908987"}, {"ref": "kubo1987/notebookef9c873efb", "kernel_id": "17976475"}, {"ref": "buntyou/notebookd2d402e36b", "kernel_id": "17872231"}, {"ref": "maekawakengo/notebook04029ad2b7", "kernel_id": "17873165"}, {"ref": "knknff/notebook1255a458bc", "kernel_id": "17961197"}, {"ref": "awesoom/notebook2e15f257ad", "kernel_id": "17855492"}, {"ref": "awesoom/bigdata-project-eda", "kernel_id": "17855613"}, {"ref": "mkxx10/notebookff9d3cb961", "kernel_id": "17933673"}, {"ref": "yusuke2652/notebook96b84885b7", "kernel_id": "17874252"}, {"ref": "kokishirai/notebooke9e90956d8", "kernel_id": "17873517"}, {"ref": "ryt031/notebookdbd56b1623", "kernel_id": "17872746"}, {"ref": "omanju/kernel7dbd40beb3", "kernel_id": "17870689"}, {"ref": "omanju/notebookb47400a933", "kernel_id": "17869414"}, {"ref": "idaidai/getting-started-with-titanic", "kernel_id": "17882057"}, {"ref": "sayakasumitomo/notebook-report", "kernel_id": "17866995"}, {"ref": "vjbangis/titanic", "kernel_id": "17913258"}, {"ref": "jamesbeniopa/notebookf15793e9df", "kernel_id": "17919873"}, {"ref": "davebulaklak/notebook03e3f18f62", "kernel_id": "17913763"}, {"ref": "santaf/notebooke8194c7f8e", "kernel_id": "17872079"}, {"ref": "radantiitna/notebook6e52a9defe", "kernel_id": "17873944"}, {"ref": "isimoto/notebook0eb71eaf5a", "kernel_id": "17868887"}, {"ref": "ssohei/notebook1c9fc1b60c", "kernel_id": "17869199"}, {"ref": "yugotabuchi/notebookce1c1ce7ab", "kernel_id": "17869339"}, {"ref": "imadaatsuki/notebookb936d1f83c", "kernel_id": "17869275"}, {"ref": "kozaitomoya/notebookdb056675b8", "kernel_id": "17983957"}, {"ref": "tojumawa/notebook60c3565c4b", "kernel_id": "17869559"}, {"ref": "empty00/notebookadf4edd715", "kernel_id": "17869439"}, {"ref": "akinoshita/notebookc20542e3f3", "kernel_id": "17997867"}, {"ref": "mmo456/notebookd59dfca989", "kernel_id": "17999869"}, {"ref": "krmtmyk/kernel726d228659", "kernel_id": "17869817"}, {"ref": "utnoxo/kernel726d228659", "kernel_id": "17870755"}, {"ref": "knp1630/notebook31ff3a1ac4", "kernel_id": "17870263"}, {"ref": "kasaneteto/notebook0359317b4d", "kernel_id": "17958715"}, {"ref": "kasaneteto/notebook05e2c21ec1", "kernel_id": "17958378"}, {"ref": "kasaneteto/notebooka5dd9d9d93", "kernel_id": "17957809"}, {"ref": "koheiogawa0001/notebook42bdeff349", "kernel_id": "17957769"}, {"ref": "tefusha/notebooka830dc0dca", "kernel_id": "17872793"}, {"ref": "m13unaka/notebook85b6f6d6a5", "kernel_id": "17956763"}, {"ref": "tadakuma/notebookb50fc0fa0a", "kernel_id": "17871042"}, {"ref": "yugahashimoto/notebookd82b2b7b2f", "kernel_id": "17997503"}, {"ref": "sai0618/notebook7965c5c750", "kernel_id": "17997288"}, {"ref": "rizarbel/notebookb26036c0cb", "kernel_id": "17978235"}, {"ref": "yuukimo/notebook6cd34f882d", "kernel_id": "17872559"}, {"ref": "kawanishik/notebookff32cadec3", "kernel_id": "17872565"}, {"ref": "azmrhhistory8/notebook7c21a7bbfc", "kernel_id": "17871867"}, {"ref": "eiseilab/notebook6b48b1bc01", "kernel_id": "17991420"}, {"ref": "kurisutaichi/notebook55ed3c372a", "kernel_id": "17872842"}, {"ref": "mkujay/notebook43205f5797", "kernel_id": "17872735"}, {"ref": "tsunao/notebookb3f3135bce", "kernel_id": "17872456"}, {"ref": "butanebutane/notebook06fff02cc8", "kernel_id": "17872416"}, {"ref": "natsumi3/notebookf245cedf83", "kernel_id": "17952296"}, {"ref": "natsumi3/notebook85673174c3", "kernel_id": "17952411"}, {"ref": "koheiyamamoto0531/notebook97a2f5cc25", "kernel_id": "17872633"}, {"ref": "aiboaibo/notebook56c348923f", "kernel_id": "17872785"}, {"ref": "takezawa/notebookaa0cc7114d", "kernel_id": "17872367"}, {"ref": "itsukitanioka/notebooke521d50c4f", "kernel_id": "17872771"}, {"ref": "rimocon/notebook4f8f65d702", "kernel_id": "17872470"}, {"ref": "kazukikamada/notebookc9780f647c", "kernel_id": "17872806"}, {"ref": "kishigaminatsuki/notebook9a618fdecc", "kernel_id": "17872590"}, {"ref": "shagio/notebook815ca07677", "kernel_id": "17872385"}, {"ref": "linjiahua/kernel726d228659", "kernel_id": "17873146"}, {"ref": "hiranokoki/notebook6eb57b9b45", "kernel_id": "17872414"}, {"ref": "ryotakori/notebook446b406bc9", "kernel_id": "17872418"}, {"ref": "k2mok2mo/notebook6491932590", "kernel_id": "17873236"}, {"ref": "shunya05/notebookbe4141590f", "kernel_id": "17872574"}, {"ref": "areanullearn/notebook833a8a8029", "kernel_id": "17872758"}, {"ref": "georgeno11/notebookb2a6136199", "kernel_id": "17872673"}, {"ref": "kei456/notebook58449edab1", "kernel_id": "17873699"}, {"ref": "ytk315/notebookef3ff3b3ef", "kernel_id": "17995309"}, {"ref": "nao621/notebooka0365d986d", "kernel_id": "17954875"}, {"ref": "nao621/notebook436ebdb083", "kernel_id": "17873169"}, {"ref": "yuutayokota/notebookeff9fbbd4b", "kernel_id": "17872636"}, {"ref": "gogotea/notebook907738f083", "kernel_id": "17872690"}, {"ref": "furuyakazuki/kernel25fa41bfaf", "kernel_id": "17873008"}, {"ref": "miki0927/notebook9d0c1f8976", "kernel_id": "17983168"}, {"ref": "kashiwagids/notebooka3051a29a7", "kernel_id": "17872812"}, {"ref": "sadahirokazuki/notebookd3680a3cf7", "kernel_id": "17872839"}, {"ref": "sadahirokazuki/notebook2603d4ce7f", "kernel_id": "17872708"}, {"ref": "itokeishi/notebook7a762356b2", "kernel_id": "17872768"}, {"ref": "haradayuta/notebook5c2ba1d85f", "kernel_id": "17872823"}, {"ref": "whitefox27/notebook9f080b6e71", "kernel_id": "17872736"}, {"ref": "kagglesalmon/notebook000c200ea6", "kernel_id": "17873018"}, {"ref": "kawabatads/notebookef99a3f311", "kernel_id": "17872795"}, {"ref": "daiyama31/notebook9207eb3693", "kernel_id": "17872779"}, {"ref": "harukisatou/notebook1e39cfff69", "kernel_id": "17872905"}, {"ref": "saisyo/kernel51df8e0e31", "kernel_id": "17872834"}, {"ref": "ryowatachi/notebookf416f150c2", "kernel_id": "17872849"}, {"ref": "ctanaka21/notebookd6a360dbbc", "kernel_id": "17872949"}, {"ref": "ctanaka21/notebook9e6efd75bf", "kernel_id": "17873952"}, {"ref": "ctanaka21/notebook6d45c3fbad", "kernel_id": "17876238"}, {"ref": "ctanaka21/notebook6604c29bbf", "kernel_id": "17982753"}, {"ref": "snowwinter55/notebook349529bfed", "kernel_id": "17951447"}, {"ref": "snowwinter55/notebook7987be596c", "kernel_id": "17872953"}, {"ref": "ririkamatsushita/notebook817fdd82dc", "kernel_id": "17872935"}, {"ref": "hamaatsushi/notebook0cd694e3b9", "kernel_id": "17873219"}, {"ref": "ohnishi/kernel95b8a5c62e", "kernel_id": "17876865"}, {"ref": "c612131009/notebook98cca1f9f6", "kernel_id": "17979879"}, {"ref": "asaharamasahiro/notebook3ed3eace6b", "kernel_id": "17873217"}, {"ref": "tairaeihara/notebook39a9342fca", "kernel_id": "17873218"}, {"ref": "tairaeihara/kernel", "kernel_id": "17873284"}, {"ref": "tairaeihara/kernel9807296f08", "kernel_id": "17873322"}, {"ref": "hara9032/notebook1223ef66e6", "kernel_id": "17998598"}, {"ref": "m3chd09/titanic", "kernel_id": "17888160"}, {"ref": "hikarusugiura/notebook69bb9f00af", "kernel_id": "17873265"}, {"ref": "amitani1230/kernel2b8e9fa9cc", "kernel_id": "17873492"}, {"ref": "shionatanaka/notebook93fa492a8f", "kernel_id": "17895337"}, {"ref": "tokushimasawada/notebook33efbc3865", "kernel_id": "17875080"}, {"ref": "moritti373737/notebook719d6676a6", "kernel_id": "17877958"}, {"ref": "nakanotaisuke/notebook1264278129", "kernel_id": "17878313"}, {"ref": "motokiyuta/notebookef3ec694b2", "kernel_id": "17880617"}, {"ref": "jainswapnil/titanic-survival-prediction", "kernel_id": "17884082"}, {"ref": "kayo2469/notebooke6448f836a", "kernel_id": "17888645"}, {"ref": "kayo2469/notebooka78e8a7326", "kernel_id": "17887991"}, {"ref": "soratraxanh/notebook55f7b251a1", "kernel_id": "17889564"}, {"ref": "yukaito/kernel726d228659", "kernel_id": "17891391"}, {"ref": "hajimekishimoto/notebookabc", "kernel_id": "17893179"}, {"ref": "hajimekishimoto/kernel726d228659", "kernel_id": "17962098"}, {"ref": "omkarmule93/first-notebook-on-kaggle", "kernel_id": "17939938"}, {"ref": "soyeonn/0624-titanic", "kernel_id": "17997098"}, {"ref": "serinamatsuoka/notebookad12f8edc4", "kernel_id": "17897844"}, {"ref": "sotayamasaki/notebookce9cdc550d", "kernel_id": "17897528"}, {"ref": "maximborisoff/titanic", "kernel_id": "17899452"}, {"ref": "maximborisoff/titanic-improved", "kernel_id": "17899603"}, {"ref": "natsu1103/notebook733c6eefb5", "kernel_id": "17925767"}, {"ref": "natsu1103/notebookfb8ee57f81", "kernel_id": "17926392"}, {"ref": "data21sci/notebook31d9db8286", "kernel_id": "17908982"}, {"ref": "takatakouhei/notebookcfd76d5afe", "kernel_id": "17917071"}, {"ref": "yumayoshioka/notebook30c69bdb2a", "kernel_id": "17978395"}, {"ref": "yumayoshioka/notebook118d7fa974", "kernel_id": "17986146"}, {"ref": "yumayoshioka/notebook7038a1b3ec", "kernel_id": "17925286"}, {"ref": "yumayoshioka/notebookd0fc77c5fe", "kernel_id": "17952291"}, {"ref": "jnyfrtn/notebook00936d215f", "kernel_id": "17924767"}, {"ref": "tamakiryusei/notebookf803ac2f4a", "kernel_id": "17925732"}, {"ref": "lupin5656/notebook2c1d619734", "kernel_id": "17926023"}, {"ref": "tsubasasaiki/notebook03c049a3e2", "kernel_id": "17927608"}, {"ref": "shomakitakura/notebook5dc2c7b811", "kernel_id": "17927662"}, {"ref": "iconoclasmtv/notebooke034979cff", "kernel_id": "17927874"}, {"ref": "iconoclasmtv/notebooke9549abb8f", "kernel_id": "17950567"}, {"ref": "iconoclasmtv/notebookbe70fe520e", "kernel_id": "17950519"}, {"ref": "iconoclasmtv/notebook760cccbe0a", "kernel_id": "17995826"}, {"ref": "iconoclasmtv/notebook5a0d2621e9", "kernel_id": "17995144"}, {"ref": "iconoclasmtv/notebook70c46c1d87", "kernel_id": "17981174"}, {"ref": "iconoclasmtv/notebookf57580fac5", "kernel_id": "17977325"}, {"ref": "iconoclasmtv/notebook504bd95590", "kernel_id": "17977229"}, {"ref": "musho8/notebook42141341bb", "kernel_id": "17953778"}, {"ref": "appbasketitch/notebooka0ccb68ac9", "kernel_id": "17929393"}, {"ref": "appbasketitch/notebook6624d82bb7", "kernel_id": "17929542"}, {"ref": "appbasketitch/notebookbb9802d40b", "kernel_id": "17929959"}, {"ref": "appbasketitch/notebook520af86c0a", "kernel_id": "17929973"}, {"ref": "hanifnoerrofiq/titanic-survival-prediction-random-forest", "kernel_id": "17931773"}, {"ref": "kuwayoshi/notebook19f7e4748e", "kernel_id": "17933884"}, {"ref": "kuwayoshi/notebook89b398a26e", "kernel_id": "17934307"}, {"ref": "kuwayoshi/notebooka4953f0d80", "kernel_id": "17969647"}, {"ref": "kuwayoshi/notebook2cc2bd8aeb", "kernel_id": "17970404"}, {"ref": "kuwayoshi/notebook88cd93c891", "kernel_id": "17970440"}, {"ref": "yuzoharada/notebook0c31c606ad", "kernel_id": "17952026"}, {"ref": "yuzoharada/kerneld2a34f3b0", "kernel_id": "17952775"}, {"ref": "hjmina/notebook584c7ad0e9", "kernel_id": "17956195"}, {"ref": "hjmina/notebook0c5f7c2a12", "kernel_id": "17953935"}, {"ref": "hjmina/notebookba4d79e6ba", "kernel_id": "17953344"}, {"ref": "yumuuu/notebook1f7e8bfc6d", "kernel_id": "17958678"}, {"ref": "yumuuu/notebook91242093b9", "kernel_id": "17958792"}, {"ref": "yumuuu/notebookb043ed4b6d", "kernel_id": "17954610"}, {"ref": "yumuuu/notebook3f596d19ce", "kernel_id": "17954662"}, {"ref": "yumuuu/notebook3048e5b9bd", "kernel_id": "17977941"}, {"ref": "morijun0712/notebook0a8e7995c8", "kernel_id": "17955035"}, {"ref": "heleigarai/notebook726d228659", "kernel_id": "17955230"}, {"ref": "heleigarai/notebook0917792d03", "kernel_id": "17956022"}, {"ref": "fujiwaranana/notebook6b8550a2ce", "kernel_id": "17955845"}, {"ref": "fujiwaranana/notebookac40c7d63f", "kernel_id": "17999851"}, {"ref": "shirishiri/notebookc4b32fea0a", "kernel_id": "17978403"}, {"ref": "shirishiri/notebook76cb65407f", "kernel_id": "17956019"}, {"ref": "shirishiri/notebooka9cb07fb82", "kernel_id": "17957186"}, {"ref": "sa6d125h/notebook7773d4c7e1", "kernel_id": "17956175"}, {"ref": "kenkoh70bad/notebook45682d6bb0", "kernel_id": "17956963"}, {"ref": "iwamakouki/notebookff66f61a10", "kernel_id": "17958181"}, {"ref": "iwamakouki/notebook3154f9bc0b", "kernel_id": "17999963"}, {"ref": "seijikunimatsu/notebooke979239ae9", "kernel_id": "17958531"}, {"ref": "torukumagawa/titanic-kumagawa", "kernel_id": "17960534"}, {"ref": "chengyue111/learn-titanic", "kernel_id": "17961445"}, {"ref": "zhiweizhang123/notebookd7d908afd0", "kernel_id": "17961666"}, {"ref": "zhiweizhang123/notebook726d228659", "kernel_id": "17962495"}, {"ref": "zhiweizhang123/notebook0145f7e354", "kernel_id": "17965730"}, {"ref": "kazuhirotokushima/notebooka82478d99f", "kernel_id": "17965064"}, {"ref": "kazuhirotokushima/notebook49299f4daf", "kernel_id": "17964978"}, {"ref": "kazuhirotokushima/notebook00f6e5f99b", "kernel_id": "17964875"}, {"ref": "ochi0411arata/notebooke63bd49064", "kernel_id": "17965563"}, {"ref": "kaelancode/81-3-score-svm-with-passenger-profile-creation", "kernel_id": "17978964"}, {"ref": "yuki004/notebookd4d9fc06b4", "kernel_id": "17970227"}, {"ref": "arai0227/notebook2c5e86401b", "kernel_id": "17973853"}, {"ref": "sogawayukiya/notebook9962f55238", "kernel_id": "17975909"}, {"ref": "gyuzzang/210624-titanic-notebook", "kernel_id": "17997079"}, {"ref": "newbee98/matplot-ex-0624", "kernel_id": "17997060"}, {"ref": "breadm/titanic-matplotlib-prac", "kernel_id": "17997188"}, {"ref": "p0pc0rnyyy/notebook96a4eaee8e", "kernel_id": "17977324"}, {"ref": "murakamiyuuki/notebookb20582d9c3", "kernel_id": "17978030"}, {"ref": "nomoredayo/notebook25c3a06a73", "kernel_id": "17978158"}, {"ref": "kataokataichi/notebook7006b29ad0", "kernel_id": "17978324"}, {"ref": "nakadorihiro/notebook0ffc5f44bb", "kernel_id": "17979188"}, {"ref": "kounotaiki/notebookc5ad8f7b51", "kernel_id": "17980651"}, {"ref": "fkryus/notebook008b8dee34", "kernel_id": "17981018"}, {"ref": "kokikakiuchi/notebookede4a9b330", "kernel_id": "17981417"}, {"ref": "morigayuya/notebookec3039941f", "kernel_id": "17980953"}, {"ref": "yukimorishita/notebook54708eca6c", "kernel_id": "17983787"}, {"ref": "nezutakehiro/notebookb9a9784d01", "kernel_id": "17984924"}, {"ref": "otenaoki/notebook12f4610619", "kernel_id": "17985498"}, {"ref": "otenaoki/notebook44d0d7c6e1", "kernel_id": "17985635"}, {"ref": "basho0111/notebook1e57820346", "kernel_id": "17990325"}, {"ref": "sugimotodaiti/notebook3b0d4a731e", "kernel_id": "17998098"}, {"ref": "sugimotodaiti/notebooka455c08cac", "kernel_id": "17998237"}, {"ref": "sugimotodaiti/notebook03b47c7fc3", "kernel_id": "17998245"}, {"ref": "sugimotodaiti/notebook1d9602b2a8", "kernel_id": "17998832"}, {"ref": "sugimotodaiti/notebook7db6e04056", "kernel_id": "17998933"}, {"ref": "kanzakim/notebook9add119c7f", "kernel_id": "17997131"}, {"ref": "nryosuke/notebooke6219470c5", "kernel_id": "17997225"}, {"ref": "takumimasuda1222/notebookd47146bd91", "kernel_id": "17997199"}, {"ref": "takumimasuda1222/notebook70ca7e4658", "kernel_id": "17998394"}, {"ref": "kurohamasaki/notebook0c497972a4", "kernel_id": "17997515"}, {"ref": "hashimoto0916/notebook034799c22a", "kernel_id": "17998460"}, {"ref": "thirteenorphans/notebookf814ec71a9", "kernel_id": "17998612"}, {"ref": "c612133017/notebook7965c5c750", "kernel_id": "17998981"}, {"ref": "tettereouji/notebook8564305a60", "kernel_id": "17998921"}, {"ref": "yusakutsujihara/notebook5c8e49b1ae", "kernel_id": "17999477"}, {"ref": "bcruise/titanic-knn", "kernel_id": "18543315"}, {"ref": "gopalmahadevan/titanic-the-only-notebook-you-need-to-see", "kernel_id": "18729763"}, {"ref": "harrywang/minimalist-machine-learning-tutorial", "kernel_id": "18578864"}, {"ref": "harrywang/autoeda-and-automl", "kernel_id": "18579189"}, {"ref": "datajmcn/titanic-discovery", "kernel_id": "18665888"}, {"ref": "renatolochetti/titanic-survivors-score-of-0-789", "kernel_id": "18280121"}, {"ref": "toorrees/titanic-machine-learning-models", "kernel_id": "18004904"}, {"ref": "rsesha/titanic-keras-0-7926-score-81roc", "kernel_id": "18096480"}, {"ref": "rsesha/titanic-79-2-score-using-auto-nlp", "kernel_id": "18528642"}, {"ref": "rsesha/autokeras-vs-deep-autoviml-on-titanic", "kernel_id": "18639533"}, {"ref": "kashyapbarua/titanic-disaster-feature-engineering", "kernel_id": "18016334"}, {"ref": "shahzz/getting-aboard-the-titanic-or-not", "kernel_id": "18259766"}, {"ref": "ajaykannan/titanic-data-last-voyage", "kernel_id": "18898449"}, {"ref": "aayushkubba/titanic-hyperparameter-tuning-with-gridsearchcv", "kernel_id": "18132718"}, {"ref": "aayushkubba/titanic-ensemble-techniques", "kernel_id": "18260054"}, {"ref": "aayushkubba/titanic-ensemble-models", "kernel_id": "18458898"}, {"ref": "misrashashank/binary-classification-titanic", "kernel_id": "18515471"}, {"ref": "raviswanath/titanic-eda", "kernel_id": "18228809"}, {"ref": "dian13/eda-titanic-dian-tkp", "kernel_id": "18354800"}, {"ref": "rohithsrinivaas/titanic-competition", "kernel_id": "18107116"}, {"ref": "bhavesh302/titanic-dataset-best-model", "kernel_id": "18152953"}, {"ref": "subhanil/titanic-competition", "kernel_id": "18290168"}, {"ref": "hakami1024/itables-problem", "kernel_id": "18908017"}, {"ref": "abdaatif/my-ml-practice-with-titanic-data", "kernel_id": "18732363"}, {"ref": "kritidoneria/top-1-housing-prices-easiest-solution-ever", "kernel_id": "18762668"}, {"ref": "jodavidferreira/recursive-partitioning-and-fr-classifiers", "kernel_id": "18424950"}, {"ref": "rentongxin/titanic-data-science-solutions", "kernel_id": "18105121"}, {"ref": "zyper26/titanic-aggregate-voting-hyperparameter-tuning", "kernel_id": "18435663"}, {"ref": "harveydeng/titanic-feature-engineering", "kernel_id": "18487639"}, {"ref": "hicham1984/strategy-for-handling-missing-values-evaluation", "kernel_id": "18953646"}, {"ref": "shilpagopal/exploratory-data-analysis-and-prediction", "kernel_id": "18938048"}, {"ref": "shilpagopal/classification-using-svm-knn-variable-selection", "kernel_id": "18955703"}, {"ref": "sarahesham/titanic", "kernel_id": "18913820"}, {"ref": "teddylee777/01-initial-commit-v01", "kernel_id": "18595857"}, {"ref": "aelamraoui/titanic-surviving-prediction", "kernel_id": "18682996"}, {"ref": "khalilabu/titanic-using-logistic-regression", "kernel_id": "18939024"}, {"ref": "raunakj/titianic-random-forest", "kernel_id": "18726087"}, {"ref": "huggy59/titanic-splitting-male-female", "kernel_id": "18723594"}, {"ref": "rcmonteiro/lgbm-grid-search", "kernel_id": "18254574"}, {"ref": "srujanakandula/eda-on-titanic-data", "kernel_id": "18867783"}, {"ref": "aatish2908/notebook3ac4f99415", "kernel_id": "18485510"}, {"ref": "motohiro/notebookd117c36c28", "kernel_id": "18288165"}, {"ref": "biro104/titanic-for-leaning", "kernel_id": "18030255"}, {"ref": "agsravya/titanic-notebook", "kernel_id": "18846765"}, {"ref": "akshat122/titanic", "kernel_id": "18253293"}, {"ref": "nageshwari/titanic", "kernel_id": "18733330"}, {"ref": "dimitrimisiak/titianic-ml-explainability", "kernel_id": "18727525"}, {"ref": "howtowhy/titanic-example", "kernel_id": "18682506"}, {"ref": "mikeramby/titanic-machine-learning", "kernel_id": "18288280"}, {"ref": "dhanadhawan/titanic-disaster", "kernel_id": "18030295"}, {"ref": "mlevine/titanic-naive-classifier", "kernel_id": "18476667"}, {"ref": "mlevine/titanic-logistic-classifier", "kernel_id": "18476717"}, {"ref": "mlevine/titanic-dense-classifier", "kernel_id": "18476784"}, {"ref": "pro1amr/titanic-dataset-final-trial", "kernel_id": "18913987"}, {"ref": "amanthakur/titanic", "kernel_id": "18356225"}, {"ref": "sumitupadhye12/titanic", "kernel_id": "18985530"}, {"ref": "rknouk/comparing-trained-model-easily", "kernel_id": "18274621"}, {"ref": "johnklishin/fork-of-ai-ml-ds-titanic-decision-tree-exam", "kernel_id": "18254575"}, {"ref": "yejijang/titanic", "kernel_id": "18890921"}, {"ref": "hiromasatabuchi/try-titanic-with-pycaret", "kernel_id": "18106224"}, {"ref": "abhat222/titanic-competition", "kernel_id": "18600177"}, {"ref": "stpeteishii/titanic-keras-sequential", "kernel_id": "18569633"}, {"ref": "stpeteishii/titanic-xgboost-with-optuna-tuning", "kernel_id": "18132170"}, {"ref": "stpeteishii/titanic-lgbm-tuning-optuna-gridsearchcv", "kernel_id": "18087200"}, {"ref": "arnav2019/titanic-logistic-regression-with-python", "kernel_id": "18738111"}, {"ref": "milindsoorya/getting-started-with-titanic", "kernel_id": "18277418"}, {"ref": "devkrishnakc/titanic-classification", "kernel_id": "18119925"}, {"ref": "nilakshi100/titanic-survivor-prediction", "kernel_id": "18990454"}, {"ref": "buseyarentekin/titanic-machine-learning-from-disaster", "kernel_id": "18218377"}, {"ref": "makkyemmanuel/kaggle-hands-on", "kernel_id": "18427297"}, {"ref": "purplesmile3/titanic", "kernel_id": "18904805"}, {"ref": "ravindrak2008/diabetes-prediction-model", "kernel_id": "18096830"}, {"ref": "alasunghainian/titanic-survival-predictions", "kernel_id": "18928492"}, {"ref": "lhernand/notebookb82a913920", "kernel_id": "18425893"}, {"ref": "krepker/titanic-survival-pt-br", "kernel_id": "18424835"}, {"ref": "zhzhzh0925/titanic-survival-exploration", "kernel_id": "18758080"}, {"ref": "oluchukwu/titanic-survey-of-classification-methods", "kernel_id": "18766552"}, {"ref": "mohamedsalah5369/titanic-prediction", "kernel_id": "18908771"}, {"ref": "sakaguti1211/example", "kernel_id": "18419538"}, {"ref": "iamshamikb/titanic-feature-engineering-based", "kernel_id": "18824121"}, {"ref": "iamshamikb/titanic-ensemble-learning", "kernel_id": "18935399"}, {"ref": "imohw95/titanic-ver1", "kernel_id": "18396093"}, {"ref": "ketangangal/titanic-data-set", "kernel_id": "18815738"}, {"ref": "ubergewissheit/titanic-project-data-science", "kernel_id": "18856602"}, {"ref": "hinata412/0726-0802-rindoku-titanic", "kernel_id": "18498373"}, {"ref": "jtobelem/titanic-pandas-sklearn", "kernel_id": "18563060"}, {"ref": "saeidlotfi/titanic-machine-learning-from-disaster", "kernel_id": "18510724"}, {"ref": "hnishi/autogluon-example-for-titanic", "kernel_id": "18736709"}, {"ref": "thesoulreaper/titanic-latest", "kernel_id": "18842871"}, {"ref": "alimkidar/test-titanic-al-tkp", "kernel_id": "18264151"}, {"ref": "alimkidar/workshop-online-data-science-mini-bootcamp-w2-w3", "kernel_id": "18761425"}, {"ref": "adhithia/titanic-classification-multiple-models", "kernel_id": "18270844"}, {"ref": "asishkumarcode89/kaggle-titanic-ml-logistic-regression", "kernel_id": "18825413"}, {"ref": "hassangaber/titanic-notebook", "kernel_id": "18860483"}, {"ref": "josumsc/visual-and-statictical-analysis-oop-pipeline", "kernel_id": "18484189"}, {"ref": "iskk97/titanic-python-spanish", "kernel_id": "18999558"}, {"ref": "somyajitsam/titanic-dt-predictions", "kernel_id": "18114210"}, {"ref": "monalisapanda94/the-survival", "kernel_id": "18103698"}, {"ref": "elitefrog/titanic-analysis", "kernel_id": "18763420"}, {"ref": "sukant29/titanic-data-complete-analytics", "kernel_id": "18504878"}, {"ref": "zhongyanmin/titanic-prediction", "kernel_id": "18184609"}, {"ref": "youssef3amer1/titanic-classification", "kernel_id": "18021616"}, {"ref": "vaasudevans/using-column-transformers-for-preprocessing", "kernel_id": "18424498"}, {"ref": "pierrethi/titanic-notebook", "kernel_id": "18531552"}, {"ref": "prabakaranchandran/titanic-ml-pycaret-simple-fewlines-code", "kernel_id": "18455377"}, {"ref": "micheleleite/titanic-classificacao", "kernel_id": "18342138"}, {"ref": "amartyabhattacharya/titanic-eda-all-model-xgboost-lgbm-included", "kernel_id": "18161204"}, {"ref": "contravia/notebook9079b3fe7b", "kernel_id": "18729162"}, {"ref": "yurychernyshov/kaggle-titanic-example-udv-summer-school-2021", "kernel_id": "18443007"}, {"ref": "agoyal1008/finalprojectsample", "kernel_id": "18892140"}, {"ref": "hodahany/titanic-survival-ml", "kernel_id": "18894419"}, {"ref": "arjunprasadsarkhel/titanic-using-logistic-regression", "kernel_id": "18546994"}, {"ref": "hamedetezadi/titanic-analysis-70-precision", "kernel_id": "18733436"}, {"ref": "ahmedmagdy96/titanic-classification", "kernel_id": "18906207"}, {"ref": "laudiomachadopaulo/titanic-model-1", "kernel_id": "18542595"}, {"ref": "worawitkaew/titanic-vs-neural-network", "kernel_id": "18013409"}, {"ref": "pchandrashekhar/titanic-chandra", "kernel_id": "18636089"}, {"ref": "khkuggle/simple-and-intermediate-eda-modeling-for-titanic", "kernel_id": "18823055"}, {"ref": "siddharthraina/titanic-notebook-knnclassifier", "kernel_id": "18423097"}, {"ref": "daniilarapov/simple-sklearn-pipeline-solution", "kernel_id": "18915798"}, {"ref": "amalabdallah/titanic-survival-pred", "kernel_id": "18908984"}, {"ref": "aimack/simple-ml-pipeline-for-titanic", "kernel_id": "18867430"}, {"ref": "sanjaylalwani/titanic-with-random-forest-top-5", "kernel_id": "18788618"}, {"ref": "parthgrover/titanicv1", "kernel_id": "18965008"}, {"ref": "mohamedmostafa335/titanic-survival-prediction", "kernel_id": "18910065"}, {"ref": "rohithdsouza/titanic-problem-first-model-learning-ds", "kernel_id": "18945022"}, {"ref": "afzalshaikh010/titanic-dataset-solution", "kernel_id": "18946433"}, {"ref": "danishrajani/titanic", "kernel_id": "18346289"}, {"ref": "victorgalindo/qlattice-titanic-basic", "kernel_id": "18033266"}, {"ref": "badesaheb/titanic-saviour-prediction", "kernel_id": "18947756"}, {"ref": "junhyeonglee/my-first-kaggle-titanic", "kernel_id": "18560205"}, {"ref": "nishatanjumlea/titanic-solution-by-nishat", "kernel_id": "18927393"}, {"ref": "pranshigaur/notebook0e05140e08", "kernel_id": "18824461"}, {"ref": "arjunbhamra/titanic-machine-learning", "kernel_id": "18557458"}, {"ref": "lonnieqin/titanic-prediction-with-different-models", "kernel_id": "18984265"}, {"ref": "muhammedjaabir/random-forest-95-auc", "kernel_id": "18275645"}, {"ref": "debmalyaray/titanic-datasets-random-forest-classifier", "kernel_id": "18508228"}, {"ref": "debmalyaray/my-best-work-titanic-prediction", "kernel_id": "18557124"}, {"ref": "ivankartashow/titanic-testing-algs", "kernel_id": "18661792"}, {"ref": "shrutikothadia/titanic-competition", "kernel_id": "18408195"}, {"ref": "asadonkaggle/surviving-titanic", "kernel_id": "18157100"}, {"ref": "bextuychiev/every-pandas-function-to-manipulate-time-series", "kernel_id": "18466860"}, {"ref": "bextuychiev/advanced-time-series-analysis-decomposition", "kernel_id": "18552057"}, {"ref": "bextuychiev/how-to-detect-white-noise-and-random-walks-in-ts", "kernel_id": "18616439"}, {"ref": "bextuychiev/no-bs-guide-to-hyperparameter-tuning-with-optuna", "kernel_id": "18951360"}, {"ref": "bextuychiev/20-burning-xgboost-faqs-answered-to-use-like-a-pro", "kernel_id": "18852222"}, {"ref": "nickbaynham/titanic-survival", "kernel_id": "18682424"}, {"ref": "imnoob/titanic", "kernel_id": "18252690"}, {"ref": "ahmadhassani/mehrdad-titanic-code", "kernel_id": "18785682"}, {"ref": "alperenkaran/titanic-with-clear-explanations", "kernel_id": "18126048"}, {"ref": "tarundang/notebook-titanic", "kernel_id": "18838035"}, {"ref": "rohithperumandla/basic-feature-engineering-titanic-model", "kernel_id": "18395027"}, {"ref": "nishothanvettivel/machinelearning-uom", "kernel_id": "18852276"}, {"ref": "ibukunogunnaike/titanic-dataset-predictions", "kernel_id": "18913122"}, {"ref": "rehameltagoury/titanic-survival-prediction-kaggle", "kernel_id": "18822935"}, {"ref": "ozgeusta/titanic-case-with-pycaret", "kernel_id": "18909390"}, {"ref": "huubachnguyen/titanic-trial03", "kernel_id": "18261375"}, {"ref": "huubachnguyen/bachng-titanic-random", "kernel_id": "18105726"}, {"ref": "sunilsharanappa/titanic-survival-prediction-with-accuracy-86", "kernel_id": "18322865"}, {"ref": "blackhurt/gradient-boosting-classifier", "kernel_id": "18931438"}, {"ref": "blackhurt/titanic-prediction-using-gbc-with-hyper-tuning", "kernel_id": "18422018"}, {"ref": "blackhurt/eda-prediction-using-svc", "kernel_id": "18464738"}, {"ref": "blackhurt/accuracy-of-79", "kernel_id": "18035733"}, {"ref": "blackhurt/titanic-in-13-lines-of-code", "kernel_id": "18340464"}, {"ref": "saotome/titanic-automl-pycaret-feature-selection", "kernel_id": "18105030"}, {"ref": "saotome/titanic-automl-pycaret-belend-models", "kernel_id": "18010435"}, {"ref": "saotome/titanic-automl-pycaret-stack-models", "kernel_id": "18012328"}, {"ref": "nathankang/titanic-dataset-demo", "kernel_id": "18539347"}, {"ref": "suraj99km/titanic-survival-prediction", "kernel_id": "18448609"}, {"ref": "kenejane/notebook7541b0c87d", "kernel_id": "18956974"}, {"ref": "tommyngx/titanic-challenge-0-82057-for-beginners-with-tune", "kernel_id": "18395974"}, {"ref": "tommyngx/tommy-titanic-rerun-acc-91-and-f1-87", "kernel_id": "18392764"}, {"ref": "tommyngx/titanic-eda-fe-3-model-decision-tree-viz", "kernel_id": "18393063"}, {"ref": "tommyngx/titanic-wcg-xgboost-0-84688", "kernel_id": "18393411"}, {"ref": "tommyngx/titanic-deep-net-0-82296", "kernel_id": "18393507"}, {"ref": "tommyngx/divide-and-conquer-0-82296", "kernel_id": "18393611"}, {"ref": "jahnveenarang/titanic-survival-prediction-using-logistic-reg", "kernel_id": "18158989"}, {"ref": "ravirungta/titanic", "kernel_id": "18591460"}, {"ref": "swayamshreemohanty/1st-submission", "kernel_id": "18191375"}, {"ref": "anirudhlakra/titanic-with-exploratory-data-analysis", "kernel_id": "18422906"}, {"ref": "anirudhlakra/titanic-trying-different-models", "kernel_id": "18218040"}, {"ref": "vishalgaurav1/eda-ontitanic-dataset", "kernel_id": "18744212"}, {"ref": "badiaamakhlouf/titanic-analysis-and-survival-prediction", "kernel_id": "18250329"}, {"ref": "tanujleomessi/notebookf350ba6f94", "kernel_id": "18793172"}, {"ref": "yunchuangao/titanic-framework-demo", "kernel_id": "18013230"}, {"ref": "rankirsh/titanic-classification-with-tidymodels", "kernel_id": "18828913"}, {"ref": "karanrawat1998/titanic-kaggle-with-life-cycle-of-data-science", "kernel_id": "18719750"}, {"ref": "ozlemilgun/the-prediction-of-titanic-passengers-survival", "kernel_id": "18299989"}, {"ref": "nurglaygn/titanic-eda-and-machinelearning", "kernel_id": "18398916"}, {"ref": "fmaina/titanic-machine-learning-from-disaster", "kernel_id": "18624920"}, {"ref": "danielralston/titanic-1st-analysis", "kernel_id": "18728815"}, {"ref": "piotrkopycki/getting-started-with-titanic", "kernel_id": "18422319"}, {"ref": "akhil14shukla/association-rules-titanic-survival", "kernel_id": "18937758"}, {"ref": "anguscuskelly/titanic-ml-project", "kernel_id": "18028069"}, {"ref": "allyjung81/titanic-features", "kernel_id": "18513712"}, {"ref": "homayoonkhadivi/a-magic-journey-through-shipping-with-titanic", "kernel_id": "18115326"}, {"ref": "simonwcc/titanic-lb-0-82535", "kernel_id": "18141027"}, {"ref": "ericcherny/titanic-first-noteboook", "kernel_id": "18322287"}, {"ref": "tracyporter/titanic-gridsearchcv", "kernel_id": "18920249"}, {"ref": "kulashekarreddy/simple-model-with-80-percent-accuracy", "kernel_id": "18247310"}, {"ref": "rushikeshdarge/multiprocessing-made-easy", "kernel_id": "18754368"}, {"ref": "rushikeshdarge/handle-missing-values-only-notebook-you-need", "kernel_id": "18513702"}, {"ref": "rushikeshdarge/popular-graphs-for-beginners", "kernel_id": "18637909"}, {"ref": "rushikeshdarge/competition-winning-models-stacking", "kernel_id": "18564092"}, {"ref": "darknesszx/eda-to-prediction-dietanic", "kernel_id": "18323888"}, {"ref": "sudharsunk/log-regression-on-titanic-for-beginners", "kernel_id": "18491224"}, {"ref": "kbselam/notebookb9ba11222b", "kernel_id": "18586568"}, {"ref": "danielacaroline/titanic", "kernel_id": "18024119"}, {"ref": "rajpatel16/titanic-deeplearning", "kernel_id": "18803977"}, {"ref": "mmmori/notebook36532709b9", "kernel_id": "18281740"}, {"ref": "pavelbobrov/titanic", "kernel_id": "18712288"}, {"ref": "azizmousa/titanic", "kernel_id": "18904687"}, {"ref": "jmichaelcox/titanicrandomforest", "kernel_id": "18536533"}, {"ref": "taufiquechoudhary/titanic-prediction", "kernel_id": "18636143"}, {"ref": "pruthvi1009/titanic-sol", "kernel_id": "18410007"}, {"ref": "emreturan12345/titanic", "kernel_id": "18376177"}, {"ref": "pravinm/titanic-disaster-prediction-using-gradient-boostin", "kernel_id": "18008001"}, {"ref": "zishansayyed/titanic-survived-prediction", "kernel_id": "18783609"}, {"ref": "saatviksharma/titanic-logisticreg", "kernel_id": "18733685"}, {"ref": "haritkoladia/supervised-learning-regression", "kernel_id": "18786927"}, {"ref": "ericmacharia95/titanic-survivors-using-naive-bayes", "kernel_id": "18119537"}, {"ref": "st3gr40/titanic-notebook", "kernel_id": "18343487"}, {"ref": "aarontanjaya/simple-mlp-ann-from-scratch", "kernel_id": "18744305"}, {"ref": "habibasarhan/titanic-week-10-assessment-habiba-sarhan", "kernel_id": "18990668"}, {"ref": "samkodai/notebook7aab66c1bd", "kernel_id": "18443642"}, {"ref": "hasninemirza/titanic-solution", "kernel_id": "18655554"}, {"ref": "anseldsouza/titanic-survivor-using-ann-and-random-forest", "kernel_id": "18488370"}, {"ref": "mahmoudtabasi/titanic-eda-ml-models", "kernel_id": "18977672"}, {"ref": "mdabdulalim/getting-started-with-titanic-in-kaggle", "kernel_id": "18437007"}, {"ref": "seymayildiz/myfirstcompetition-eda", "kernel_id": "18548013"}, {"ref": "shagun007/titanic-classification-logistic-regressor", "kernel_id": "18013432"}, {"ref": "alaasedeeq/object-oriented-programming-for-data-science", "kernel_id": "18878327"}, {"ref": "imteazahmed/machine-learning-complete-77", "kernel_id": "18832101"}, {"ref": "bugragundog/titanic-prediction", "kernel_id": "18339256"}, {"ref": "mahmouddevgamal/getting-started-with-titanic", "kernel_id": "18016360"}, {"ref": "mehulnahar9/titanic-pred", "kernel_id": "18283173"}, {"ref": "vamcreddy/titanic", "kernel_id": "18663870"}, {"ref": "darshangupta124/titanic", "kernel_id": "18653510"}, {"ref": "bhaveshsisodia/titanic-survived-prediction", "kernel_id": "18461511"}, {"ref": "vaishnavituptewar/titanic-data-analysis", "kernel_id": "18489788"}, {"ref": "nobodysboredom/fork-of-fork-of-trial-6", "kernel_id": "18739706"}, {"ref": "nobodysboredom/trial-5", "kernel_id": "18277861"}, {"ref": "nobodysboredom/trial-4", "kernel_id": "18168055"}, {"ref": "nobodysboredom/trial-6", "kernel_id": "18626478"}, {"ref": "nobodysboredom/fork-of-trial-6", "kernel_id": "18637888"}, {"ref": "jafarshodiq23/helloworld-my-first-submission", "kernel_id": "18679788"}, {"ref": "princessofpersia/titanic-competiton", "kernel_id": "18149183"}, {"ref": "farrasreswara/titanic-decision-tree", "kernel_id": "18458866"}, {"ref": "hazemhosny/titanic-machine-learning-from-disaster", "kernel_id": "18931996"}, {"ref": "annasholokhova/estimate-the-fate-with-machine-learning-titanic", "kernel_id": "18994411"}, {"ref": "iehiqrf/titanic", "kernel_id": "18558528"}, {"ref": "sergaytolkachev/notebook48b6053ba7", "kernel_id": "18611762"}, {"ref": "sanketchavan5595/titanic-v2", "kernel_id": "18446412"}, {"ref": "kyungapark/matplotlib", "kernel_id": "18730738"}, {"ref": "prachiagrawal01/titanic-survived-by-prachi", "kernel_id": "18436862"}, {"ref": "kuan0302/titanic-1-eda", "kernel_id": "18573252"}, {"ref": "pruthviraj0009/titanic-disaster", "kernel_id": "18784858"}, {"ref": "soumyadipbera07/titanicpredictions", "kernel_id": "18880482"}, {"ref": "niharshah64/titanic-ml-final", "kernel_id": "18346671"}, {"ref": "shivangikochrekar/titanic-prediction", "kernel_id": "18793437"}, {"ref": "aaquibsiddiqui/logistic-regression-on-titanic-dataset", "kernel_id": "18124927"}, {"ref": "aaquibsiddiqui/data-modelling-titanic-dataset", "kernel_id": "18278894"}, {"ref": "shunsukenishijima/titanic", "kernel_id": "18866971"}, {"ref": "s1samiksha/titanic-machine-learning-random-forest", "kernel_id": "18620667"}, {"ref": "merveertasuslu/titanic-machine-learning-from-disaster", "kernel_id": "18603318"}, {"ref": "sadoun92/titanic-modeling-updated", "kernel_id": "18400862"}, {"ref": "tahir1413/titanic-machine-learning-from-disaster", "kernel_id": "18522195"}, {"ref": "brandonashley/titanic", "kernel_id": "18118025"}, {"ref": "sergheyhmeli/neural-network-data-preprocessing", "kernel_id": "18305333"}, {"ref": "nidchapannitisukanan/titanic-prediction", "kernel_id": "18736978"}, {"ref": "ahmedhagras/titanic-survival-prediction-using-lr-model", "kernel_id": "18932236"}, {"ref": "ryazici/titanic-ml", "kernel_id": "18013930"}, {"ref": "ryazici/edanalysis", "kernel_id": "18004205"}, {"ref": "dotdot13/titanic", "kernel_id": "18344014"}, {"ref": "mahmoudabdulaal/titanic", "kernel_id": "18273531"}, {"ref": "gopalns/gopal-s-titanic", "kernel_id": "18299942"}, {"ref": "lordxerxes/notebook0e48578046", "kernel_id": "18049479"}, {"ref": "nguynvnphong/titanic-pipeline", "kernel_id": "18042952"}, {"ref": "amusaabdulahitomisin/titanic-kaggle-dataset-prediction", "kernel_id": "18620032"}, {"ref": "ashmilmohamed/titanic-survival-prediction-using-r", "kernel_id": "18109508"}, {"ref": "federicofero/titanic-eda", "kernel_id": "18226453"}, {"ref": "federicofero/trial", "kernel_id": "18226559"}, {"ref": "davidemattioli/titanic-project", "kernel_id": "18146173"}, {"ref": "harish1306/titanic-survival-predictions", "kernel_id": "18588702"}, {"ref": "mhmdsyed/titanic-survival-prediction-with-ml", "kernel_id": "18898930"}, {"ref": "producerv/titanic-survival-predictions-with-pytorch", "kernel_id": "18340463"}, {"ref": "sahilmathur02/titanic-survival-prediction", "kernel_id": "18458644"}, {"ref": "parvezsohail/titanic-survival-prediction-with-catboost", "kernel_id": "18363936"}, {"ref": "dexter258/titanic-survival-prediction", "kernel_id": "18787346"}, {"ref": "dev1802999/titanic-survival-prediction-svc", "kernel_id": "18959633"}, {"ref": "hiromishikata/notebook286854f416", "kernel_id": "18802380"}, {"ref": "sebastiandixon/titanic-eda", "kernel_id": "18871834"}, {"ref": "unathimtwa/week-10-assignment", "kernel_id": "18872181"}, {"ref": "lakshit28/titanic-survival-prediction-ann-lakshit", "kernel_id": "18918064"}, {"ref": "shreyaa27/titanic-dataset-solution", "kernel_id": "18956135"}, {"ref": "mandeepkharb/notebook5528f2b06e", "kernel_id": "18115658"}, {"ref": "gopichandu6666/notebook06998e8a2f", "kernel_id": "18782402"}, {"ref": "astashiro/titanic-pycaret-baseline", "kernel_id": "18267022"}, {"ref": "vaibhav1kumar/titanic-eda", "kernel_id": "18002699"}, {"ref": "habibahafez/notebook6ec75bb088", "kernel_id": "18888517"}, {"ref": "balciiberk/titanic-my-first-data-project", "kernel_id": "18508433"}, {"ref": "asimpaul/titanic", "kernel_id": "18009661"}, {"ref": "dolasirkar/titanic", "kernel_id": "18016089"}, {"ref": "ahmedabouelnile/notebook548f437f2d", "kernel_id": "18626624"}, {"ref": "ventureparker/titanic-a-beginner-friendly-approach-to-top-3", "kernel_id": "18573169"}, {"ref": "abhisheksisodiya/titanic-eda-prediction-using-knn", "kernel_id": "18929106"}, {"ref": "afan0918/titanic-by-sequential-model", "kernel_id": "18330340"}, {"ref": "mohras/first-experience-on-classification", "kernel_id": "18556795"}, {"ref": "sanchitkripalani/titanic-surviving-the-unsinkable", "kernel_id": "18533058"}, {"ref": "somadey/titanic-survival-prediction-ml-project", "kernel_id": "18956175"}, {"ref": "jyotikasingh2001/notebookcb35180113", "kernel_id": "18238626"}, {"ref": "yassinebelarbi/titanic", "kernel_id": "18205883"}, {"ref": "tejnarayanshaw/getting-started-with-titanic-challenge", "kernel_id": "18467822"}, {"ref": "mohammeddanish/notebookf860d16ad1", "kernel_id": "18916263"}, {"ref": "tobyanderson/titanic-decision-tree", "kernel_id": "18977643"}, {"ref": "junichih/titanic-77-with-only-11-lines-of-code", "kernel_id": "18457680"}, {"ref": "juneckuroba/notebooktitanic", "kernel_id": "18172373"}, {"ref": "thrineshduvvuru/titanic-predictions-using-pycaret-easy-and-fast", "kernel_id": "18399513"}, {"ref": "nizado/my-titanic", "kernel_id": "18717548"}, {"ref": "kirishnniprabagar/ml-assignment-1-titanic", "kernel_id": "18875157"}, {"ref": "cmglonly/titanic-kaggle-challenge-my-second-submission", "kernel_id": "18632125"}, {"ref": "abhijithudayakumar/titanic-survival-prediction", "kernel_id": "18001871"}, {"ref": "mahmoudtaha3/titanic", "kernel_id": "18908022"}, {"ref": "aleksanderkunicki/titanic-survival-classification", "kernel_id": "18443906"}, {"ref": "sreejapp/titanic-ml-model-from-disaster", "kernel_id": "18834771"}, {"ref": "deepakdane/titanic-mlpclassifier", "kernel_id": "18139551"}, {"ref": "deepakdane/titanic", "kernel_id": "18049547"}, {"ref": "evesgazer/titanic-comp", "kernel_id": "18572554"}, {"ref": "saraghabour/notebook357befd081", "kernel_id": "18609224"}, {"ref": "vsonak/knn-for-titanic-competition", "kernel_id": "18512333"}, {"ref": "apriyad/logistic-prediction", "kernel_id": "18526461"}, {"ref": "pranav0810/notebookca6905953c", "kernel_id": "18135973"}, {"ref": "atharvadumbre/titanic-prediction-rf", "kernel_id": "18460570"}, {"ref": "ayoubchaoui/hyperparameter-tuning-in-xgboost", "kernel_id": "18681664"}, {"ref": "ponycong/notebook906a5eb8fb", "kernel_id": "18733274"}, {"ref": "aryansharma2/notebook5f345810fc", "kernel_id": "18138212"}, {"ref": "pavangorantla2000/titanic-survival-prediction", "kernel_id": "18632996"}, {"ref": "zaurrasulov/titanic-ml-modelling", "kernel_id": "18248190"}, {"ref": "hariprasath1436/titanic-analysis-using-random-forest", "kernel_id": "18452547"}, {"ref": "abdullahalnomaannafi/titanic-beginner-solution-with-eda", "kernel_id": "18112441"}, {"ref": "vamsikrishnab/titanic-svmwithrbfkernel", "kernel_id": "18480483"}, {"ref": "donjoeml/1-titanic-machine-learning-from-disaster", "kernel_id": "18669498"}, {"ref": "santhoshkakarla/notebook2bad27d99d", "kernel_id": "18630338"}, {"ref": "kowsalyag/titanic-data", "kernel_id": "18800076"}, {"ref": "frankngugi/titanic-submission", "kernel_id": "18386301"}, {"ref": "shinewithsiri/titanic-survival-sirisha-gorasa", "kernel_id": "18399910"}, {"ref": "nwankwokateogochukwu/titanic-submission-kon", "kernel_id": "18971915"}, {"ref": "fatihsolmaz/fs-datascience-learning", "kernel_id": "18233509"}, {"ref": "abiramisridharan/titanic-disaster-prediction", "kernel_id": "18849282"}, {"ref": "takezo25/xgboost", "kernel_id": "18271278"}, {"ref": "takezo25/fork-of-xgboost", "kernel_id": "18610159"}, {"ref": "sunnychetingchao/titanic-1st", "kernel_id": "18404719"}, {"ref": "prajgupta/using-ann", "kernel_id": "18595324"}, {"ref": "saruhangngr/titanic-project", "kernel_id": "18299213"}, {"ref": "deepresearcher/getting-started-with-titanic", "kernel_id": "18506033"}, {"ref": "olegmachine/notebook1398c5f3e2", "kernel_id": "18532944"}, {"ref": "hasnurjahan181352297/titanic-data-visualization-and-modeing", "kernel_id": "18450063"}, {"ref": "brittanymay425/titanic4a", "kernel_id": "18153062"}, {"ref": "blizzardnonna/fork-of-titainic-cbnu", "kernel_id": "18591141"}, {"ref": "lampi123/randomforest", "kernel_id": "18503909"}, {"ref": "thariqnugrohotomo/without-machine-learning-part-3b", "kernel_id": "18915931"}, {"ref": "thariqnugrohotomo/without-machine-learning", "kernel_id": "18823283"}, {"ref": "thariqnugrohotomo/without-machine-learning-part-2", "kernel_id": "18861035"}, {"ref": "vungocbinh/titanic-with-scikit-learn", "kernel_id": "18103098"}, {"ref": "vungocbinh/titanic-with-tensorflow", "kernel_id": "18102257"}, {"ref": "adaobinwafor/titanic-prediction", "kernel_id": "18380960"}, {"ref": "rambomind/titanic-predictions-using-sklearn-pipeline", "kernel_id": "18296603"}, {"ref": "aymanlafaz/titanic-feature-engineering-and-random-forests", "kernel_id": "18472411"}, {"ref": "drakeweissman22/titanic-machine-learning-attempt", "kernel_id": "18899320"}, {"ref": "victorxiao4/titanic-xgb-mlp-model", "kernel_id": "18834276"}, {"ref": "adityawisnugrahas/titanic-eda-and-prediction-87-using-lr-ab", "kernel_id": "18776712"}, {"ref": "mercyakowe/week-10-assessment-wt014", "kernel_id": "18883810"}, {"ref": "mercyakowe/titanic-ml-akowe-mercy", "kernel_id": "18992208"}, {"ref": "sergioaisolutions/titanic-knclassifier-nca-0-80382-lb", "kernel_id": "18444960"}, {"ref": "sahasourav17/titanic-suvival-prediction-using-rfc", "kernel_id": "18821888"}, {"ref": "sahasourav17/titanic-kaggle-prediction", "kernel_id": "18780679"}, {"ref": "hamidrezabakhtaki/titanic-ml", "kernel_id": "18548373"}, {"ref": "sebyoru/titanic-logistic-regression", "kernel_id": "18834830"}, {"ref": "mysarahmadbhat/all-about-feature-scaling", "kernel_id": "18078704"}, {"ref": "bunnyistaken/dnn-model-76-accuracy-titanic-survival", "kernel_id": "18237607"}, {"ref": "emnopal/titanic-classification", "kernel_id": "18895906"}, {"ref": "maxgriffiths/titanic-90-accuracy-parameter-hypertuning", "kernel_id": "18530969"}, {"ref": "keifujimoto/notebook0720", "kernel_id": "18704966"}, {"ref": "ceesjol/titanic", "kernel_id": "18578478"}, {"ref": "fongw123/titanic-prediction-with-logistic-regression", "kernel_id": "18532227"}, {"ref": "wookwook2/titanic-eda-ml", "kernel_id": "18960364"}, {"ref": "minhtinphan/titanic-tester", "kernel_id": "18282428"}, {"ref": "kimhyelin/eda-to-predict-dietanic-hyelin", "kernel_id": "18438238"}, {"ref": "stevenvariend/titanic-predictor", "kernel_id": "18453577"}, {"ref": "rinsakamichi/titanic", "kernel_id": "18524422"}, {"ref": "linhvuu/getting-started-with-titanic", "kernel_id": "18346967"}, {"ref": "linyue17/titanic", "kernel_id": "18577360"}, {"ref": "manthanom/titanic-randomforestclassifier", "kernel_id": "18678754"}, {"ref": "ishiimeh/titanic-prediction", "kernel_id": "18948560"}, {"ref": "oladeleoluwaseun/outlier-the-silent-killer", "kernel_id": "18633420"}, {"ref": "andemirbogatyrev/titanic", "kernel_id": "18784753"}, {"ref": "aniketkumar01/titanic-classifer", "kernel_id": "18409854"}, {"ref": "vrbabu/titanic-statsmodeling", "kernel_id": "18114240"}, {"ref": "tokaghaly/titanic-toka", "kernel_id": "18928133"}, {"ref": "ahmedabuaba/titanic", "kernel_id": "18928749"}, {"ref": "mkkim99/eda-to-prediction-dietanic-1", "kernel_id": "18719100"}, {"ref": "ujoshi076/titanic-crash-analysis", "kernel_id": "18854123"}, {"ref": "mondherelmufti/notebook6a584f18b3", "kernel_id": "18052676"}, {"ref": "nulikrishna/prediction-with-89-accuracy", "kernel_id": "18421925"}, {"ref": "muddanasaketh/my-first-prediction", "kernel_id": "18658030"}, {"ref": "gabri4/gridsearch-decisiontree-titanic", "kernel_id": "18744506"}, {"ref": "sahilkumarthakur/titanic-ensamble-technique", "kernel_id": "18260061"}, {"ref": "nohrud/random-forest-classifier-on-titanic-ml-competition", "kernel_id": "18490386"}, {"ref": "elianeth/titanichw", "kernel_id": "18542268"}, {"ref": "ryotaroshima/notebook5389c453c6", "kernel_id": "18424328"}, {"ref": "rhythmcam/keras-titanic", "kernel_id": "18579632"}, {"ref": "kiran963/titanic-predict", "kernel_id": "18463006"}, {"ref": "salihcanelikel/titanic-analysis", "kernel_id": "18006563"}, {"ref": "ashanktalks/titanic-prediction", "kernel_id": "18408238"}, {"ref": "amareshmarekar/titanic-eda-prediction-using-multiple-models", "kernel_id": "18925280"}, {"ref": "heronschlaepfer/titanic-getting-started-with-titanic", "kernel_id": "18772700"}, {"ref": "akp9999/titanic-problem", "kernel_id": "18260059"}, {"ref": "minhhngchong/decision-tree", "kernel_id": "18754259"}, {"ref": "susumuharada/notebookc4b313436e", "kernel_id": "18026630"}, {"ref": "daichinakayama/notebook10886029e9", "kernel_id": "18006988"}, {"ref": "aadityamohan/getting-started-with-titanic", "kernel_id": "18694859"}, {"ref": "hosomishunta/notebook713a989661", "kernel_id": "18024453"}, {"ref": "yangasieito/notebook8603d29705", "kernel_id": "18031497"}, {"ref": "yangasieito/notebook57b9333d76", "kernel_id": "18031082"}, {"ref": "aakanshjain/titanic-ml", "kernel_id": "18509205"}, {"ref": "aakanshjain/titanic-survived-prediction-model", "kernel_id": "18788923"}, {"ref": "samradhrathore/titanic", "kernel_id": "18284337"}, {"ref": "chaitanya0909/titanic-chaitanya", "kernel_id": "18458843"}, {"ref": "khoroshikhmikhail/titanic", "kernel_id": "18871566"}, {"ref": "dasankit/ml-predicted-titanic-survival", "kernel_id": "18453360"}, {"ref": "chunyaochuang/fork-of-titanic-ml-models", "kernel_id": "18133191"}, {"ref": "chunyaochuang/titanic-ml-models", "kernel_id": "18116004"}, {"ref": "aniketsatapathy/jack-0-rose-1", "kernel_id": "18999795"}, {"ref": "yutataira/lightgbm-part-b-submit", "kernel_id": "18588808"}, {"ref": "yutataira/lightgbm-part-a", "kernel_id": "18516160"}, {"ref": "balkrishanmahabir/titanic-survival-rate-pridiction", "kernel_id": "18120792"}, {"ref": "nourey/titanic", "kernel_id": "18135810"}, {"ref": "jesuisje/titanic-classification", "kernel_id": "18027184"}, {"ref": "tatsyaishikawa/knn02", "kernel_id": "18253580"}, {"ref": "tatsyaishikawa/ridge03", "kernel_id": "18253497"}, {"ref": "tatwoya18/notebook2ebea01be4", "kernel_id": "18028938"}, {"ref": "fkngfmy/notebook5f77c7bdd8", "kernel_id": "18030335"}, {"ref": "shuichiroutanaka/notebooke4ec19e5c0", "kernel_id": "18018530"}, {"ref": "rahulnandu/ext-gridsearch-hyperparams-tuning-keras-titanic", "kernel_id": "18016401"}, {"ref": "rahulnandu/titanic-disaster", "kernel_id": "18016483"}, {"ref": "tttaaaggg/notebook7e26a9429d", "kernel_id": "18010950"}, {"ref": "tttaaaggg/notebookacb2188979", "kernel_id": "18010112"}, {"ref": "michabaron/notebook99ef24d0bf", "kernel_id": "18741343"}, {"ref": "leejunseok97/titanic-eda-survived-prediction-lightgbm", "kernel_id": "18325947"}, {"ref": "naseralqaydeh/top-10-titanic-prediction-models", "kernel_id": "18557945"}, {"ref": "shub20/titanic-survival-using-linear-regression", "kernel_id": "18954080"}, {"ref": "fivedongga/moo-titanic1", "kernel_id": "18611802"}, {"ref": "fivedongga/moo-titanic2", "kernel_id": "18632930"}, {"ref": "devanshm/exploratory-data-analysis-template-guide", "kernel_id": "18794280"}, {"ref": "okazakiseigo/notebook6877c0c0ca", "kernel_id": "18003775"}, {"ref": "haradasusumu/notebookd722018d15", "kernel_id": "18026841"}, {"ref": "albertomacasalcibar/titanic", "kernel_id": "18305451"}, {"ref": "juliustabery/simple-tensorflow-neural-network", "kernel_id": "18957111"}, {"ref": "nitinrajput47/titanic-ensemble-top3", "kernel_id": "18338063"}, {"ref": "heejaemon/my-first-data-analysis-for-titanic", "kernel_id": "18823604"}, {"ref": "tandemuse/titanic-machine-learning-from-disaster", "kernel_id": "18251297"}, {"ref": "niketku/getting-started-titanic-dataset", "kernel_id": "18537564"}, {"ref": "rdas48/survival-rate-titanic", "kernel_id": "18254278"}, {"ref": "zelkairi/saving-dicaprio", "kernel_id": "18883546"}, {"ref": "mehmetsahingil/mcsahingil-titanic", "kernel_id": "18358535"}, {"ref": "garvanresearch/divide-and-conquer-0-82296", "kernel_id": "18394147"}, {"ref": "garvanresearch/titanic-random-forest-top-6", "kernel_id": "18393874"}, {"ref": "balavashan/titanic-dataset", "kernel_id": "18974112"}, {"ref": "tking091/new-titanic-python", "kernel_id": "18288790"}, {"ref": "mrandreymelnikov/getting-started-with-kaggle", "kernel_id": "18258487"}, {"ref": "amreddesoky/error-4-the-second-time-in-outputting-expectation", "kernel_id": "18122227"}, {"ref": "melanieororke/titanic-competition", "kernel_id": "18450500"}, {"ref": "abhishekyawalkar/titanic-survival-top-15-gradient-boosting", "kernel_id": "18350521"}, {"ref": "vickysen/titanic-prediction-randomforest", "kernel_id": "18664223"}, {"ref": "sharmadha/titanic-beginner-level-dataanalysis", "kernel_id": "18528170"}, {"ref": "vinodsammangi/titanic-project", "kernel_id": "18258034"}, {"ref": "junhyeok99/titanic-using-tensorflow-optimizing-with-swa", "kernel_id": "18142878"}, {"ref": "abdumaleek/91-accuracy-my-empowered-titanic-ml-code", "kernel_id": "18558822"}, {"ref": "yashhalkeri/titanic-run-1-0", "kernel_id": "18626657"}, {"ref": "akshayarnair/notebookf05764c55d", "kernel_id": "18920738"}, {"ref": "krishnabhatt4/titanic-eda-predictions", "kernel_id": "18653340"}, {"ref": "mercysaniamo/notebook6e7d1cdb21", "kernel_id": "18822684"}, {"ref": "bridgetteyeboah/getting-started-with-titanic-week-10-assessment", "kernel_id": "18804432"}, {"ref": "oredaramola/titanic-prediction", "kernel_id": "18927450"}, {"ref": "hamdiyaadams/getting-started-with-titanic", "kernel_id": "18992346"}, {"ref": "abdielguerrerov/titanic-2nd", "kernel_id": "18397665"}, {"ref": "deniezarfin/titanic-project", "kernel_id": "18723221"}, {"ref": "murari1235/titanic-predictions-best", "kernel_id": "18409527"}, {"ref": "pritampaulcrow/titanic-project", "kernel_id": "18812006"}, {"ref": "dewei0604/titanic-in-mandarin", "kernel_id": "18134189"}, {"ref": "epsilon99/titaniccompetition-76-acc", "kernel_id": "18795355"}, {"ref": "nys007/titanic-survival-nys", "kernel_id": "18235689"}, {"ref": "shubhiijain/titanic-dataset-analysis", "kernel_id": "18680199"}, {"ref": "chunghaoleeyginger/titanic-prediction-by-knn-and-xgboost", "kernel_id": "18815486"}, {"ref": "luizgustavomarques/notebook14cacc1df2", "kernel_id": "18382908"}, {"ref": "iqbard/titanic-survival-prediction", "kernel_id": "18468053"}, {"ref": "thrkk212/notebook4191062e9d", "kernel_id": "18000182"}, {"ref": "thrkk212/notebook339938eab1", "kernel_id": "18022331"}, {"ref": "fooolname/getting-started-with-titanic", "kernel_id": "18336877"}, {"ref": "zoyafarheen/titenic-dataset", "kernel_id": "18239155"}, {"ref": "anildhage/titanic-dataset-prediction-completed", "kernel_id": "18467183"}, {"ref": "shakthieswaran/assignment-1", "kernel_id": "18516977"}, {"ref": "amsakib18/titanic-version2", "kernel_id": "18532399"}, {"ref": "ebarin/notebookee19439dcc", "kernel_id": "18001669"}, {"ref": "rajeshwaris/titanic-dataset", "kernel_id": "18744415"}, {"ref": "shayistamulla/titanic-machine-learning-from-disaster", "kernel_id": "18509879"}, {"ref": "leomesscience/notebook08c98ed28c", "kernel_id": "18000404"}, {"ref": "onepatrician/titanic-the-master-of-desaster", "kernel_id": "18262600"}, {"ref": "prathikshabr/titanic-logisticregression-kaggleproject-5", "kernel_id": "18744470"}, {"ref": "anjaroed/permutation-importance-and-xgbclassifier", "kernel_id": "18844932"}, {"ref": "sonya2215/titanic-predictions", "kernel_id": "18546999"}, {"ref": "daikitojo/notebook4c1b0ae5da", "kernel_id": "18024516"}, {"ref": "kobayashi4321/notebooka2113880ab", "kernel_id": "18001445"}, {"ref": "kobayashi4321/notebook15c57a27d1", "kernel_id": "18002998"}, {"ref": "maekawakengo/notebook1e948011e5", "kernel_id": "18026621"}, {"ref": "ishansaksena7/titanic-machine-learning-from-disaster-xgb-rfc", "kernel_id": "18903810"}, {"ref": "anant47/titanic-v1", "kernel_id": "18375349"}, {"ref": "kyokawa/notebooka17c3d90f1", "kernel_id": "18027511"}, {"ref": "komiyayuki/notebook030f1f47a9", "kernel_id": "18004305"}, {"ref": "harukatu/notebook6c9eb1c866", "kernel_id": "18014517"}, {"ref": "harukatu/notebook001dd5b914", "kernel_id": "18027332"}, {"ref": "cyberinfy/titanic-machine-learning-from-disaster", "kernel_id": "18367575"}, {"ref": "yukitotu/notebook5a5a942afb", "kernel_id": "18009241"}, {"ref": "mmo456/notebooke3625062ae", "kernel_id": "18029878"}, {"ref": "yashadii/notebook6ce8a74793", "kernel_id": "18010972"}, {"ref": "kazukinakata/notebookb3d6f1caa6", "kernel_id": "18002430"}, {"ref": "yusukefujita0508/notebook7068992794", "kernel_id": "18011914"}, {"ref": "yusukefujita0508/notebook3059a8073d", "kernel_id": "18012576"}, {"ref": "takumiomura/notebook9cf0afcbf8", "kernel_id": "18025834"}, {"ref": "sayuyuyu/notebook68f2c20fef", "kernel_id": "18028195"}, {"ref": "sayuyuyu/notebook299c91613a", "kernel_id": "18000968"}, {"ref": "azmrhhistory8/notebook3d298d02e6", "kernel_id": "18026401"}, {"ref": "aaaaaaai/notebook6db0ced513", "kernel_id": "18001086"}, {"ref": "takashimakota/notebook733c18e226", "kernel_id": "18013811"}, {"ref": "takashimakota/notebookc3832bd750", "kernel_id": "18015784"}, {"ref": "mhmsark/notebook840666c0f0", "kernel_id": "18020935"}, {"ref": "kawasakimorio/notebookb186b048db", "kernel_id": "18032212"}, {"ref": "maedaryoto/notebookc7c69fb076", "kernel_id": "18016611"}, {"ref": "hirokikitora/notebookc3c8d28fc3", "kernel_id": "18026615"}, {"ref": "sadahirokazuki/notebook1744314109", "kernel_id": "18030292"}, {"ref": "ystrtanaka/notebook3a0b6b1ec7", "kernel_id": "18029237"}, {"ref": "hirokioda/notebookd1de406c59", "kernel_id": "18024626"}, {"ref": "nyakai/notebookcd439c4596", "kernel_id": "18025870"}, {"ref": "sergejnuss/titanic-decision-tree-explained", "kernel_id": "18784279"}, {"ref": "sergejnuss/titanic-score-3-to-default-gender-submission", "kernel_id": "18683056"}, {"ref": "saematsumoto/notebook932120be1f", "kernel_id": "18000189"}, {"ref": "motokiyuta/notebook21323c703a", "kernel_id": "18001806"}, {"ref": "motokiyuta/notebookcba97c9248", "kernel_id": "18001432"}, {"ref": "dariasvasileva/titanic-problem", "kernel_id": "18153822"}, {"ref": "nitta0723/notebooka2847fcf8b", "kernel_id": "18008240"}, {"ref": "seangoulding/titanic-decisiontreeclassifier", "kernel_id": "18273892"}, {"ref": "seangoulding/titanic-randomforrestclassifier", "kernel_id": "18399676"}, {"ref": "seangoulding/titanic-xgboostclassifier", "kernel_id": "18453324"}, {"ref": "musho8/notebook617a85e135", "kernel_id": "18025653"}, {"ref": "laxmansingh12/titanic-dataset-analysis-with-80-accuracy", "kernel_id": "18375491"}, {"ref": "lidaans/mix-log-ran", "kernel_id": "18113998"}, {"ref": "lidaans/notebook0dcd3990f1", "kernel_id": "18090947"}, {"ref": "lidaans/notebooka2eb473887", "kernel_id": "18091485"}, {"ref": "kiyosenaoki/notebook114804ddbf", "kernel_id": "18012764"}, {"ref": "kiyosenaoki/notebook4e2a082788", "kernel_id": "18013076"}, {"ref": "helenliu583/titanicbaseline1", "kernel_id": "18073064"}, {"ref": "hrdkcodes/titanic-eda-and-model", "kernel_id": "18096120"}, {"ref": "divyanshgarg182001/getting-started-with-ml", "kernel_id": "18490590"}, {"ref": "fujiwaranana/notebookefab88262d", "kernel_id": "18000950"}, {"ref": "ahmadarif17/titanic-prediction", "kernel_id": "18907579"}, {"ref": "ochi0411arata/notebook4ea458be28", "kernel_id": "18014978"}, {"ref": "matthewchang36/titanic-gradient-descent-methods", "kernel_id": "18356113"}, {"ref": "davidthemiller/testing-blender", "kernel_id": "18093827"}, {"ref": "miguelvidal/titantic", "kernel_id": "18129886"}, {"ref": "takjeong/notebookf64131019d", "kernel_id": "18547962"}, {"ref": "fkryus/notebookeecb7d2160", "kernel_id": "18030615"}, {"ref": "kokikakiuchi/notebook34e696667f", "kernel_id": "18025877"}, {"ref": "kokikakiuchi/notebookb6a079e40c", "kernel_id": "18025963"}, {"ref": "aarnavrawat/titanic", "kernel_id": "18124747"}, {"ref": "sugimotodaiti/notebook5861ef2905", "kernel_id": "18024863"}, {"ref": "sugimotodaiti/notebookcd423900e7", "kernel_id": "18024644"}, {"ref": "masayukifujiwara1122/notebooka9c3494c37", "kernel_id": "18031352"}, {"ref": "kazumanakanishi/notebook96c03c50f2", "kernel_id": "18000727"}, {"ref": "terauchitakeru/notebook95a038aa2c", "kernel_id": "18000882"}, {"ref": "ryotaroendo/notebook08c808501a", "kernel_id": "18000160"}, {"ref": "c612133041/notebook4e057fed75", "kernel_id": "18000418"}, {"ref": "wakasyun/notebook7cdc437742", "kernel_id": "18000633"}, {"ref": "yamazoekoki/notebookb3d6a76f1f", "kernel_id": "18000703"}, {"ref": "bassoon/notebook01ec90c209", "kernel_id": "18002183"}, {"ref": "kyosuketakamatsu/notebook2e1a2ec516", "kernel_id": "18001352"}, {"ref": "azaazarashi/notebook444edccb3d", "kernel_id": "18001768"}, {"ref": "tokikazuyoshi/notebookb4dee32e5f", "kernel_id": "18001697"}, {"ref": "johnsuke/notebooka44fb92ce8", "kernel_id": "18002034"}, {"ref": "akagiad/notebookdd1a291ecc", "kernel_id": "18002063"}, {"ref": "matsumoto210618/notebookd233dcc401", "kernel_id": "18030488"}, {"ref": "yuyamasaki/notebooka7edb5a900", "kernel_id": "18004306"}, {"ref": "yuyamasaki/notebook055c1b893a", "kernel_id": "18009209"}, {"ref": "haozhuangzhuang2021/notebook13fc783064", "kernel_id": "18003598"}, {"ref": "saitoukenshin/notebookfec49d180d", "kernel_id": "18004015"}, {"ref": "libin97/notebook8c52b670fa", "kernel_id": "18004325"}, {"ref": "izumikneya/notebook44dd5eb219", "kernel_id": "18003815"}, {"ref": "aki1aki1aki2/notebook233733ae20", "kernel_id": "18004703"}, {"ref": "kannomasahiro/notebook00f77a222d", "kernel_id": "18004423"}, {"ref": "kannomasahiro/notebook43c6fddb3f", "kernel_id": "18004647"}, {"ref": "tatsukikokufu/notebookee70276b89", "kernel_id": "18004810"}, {"ref": "tatsukikokufu/notebook0cdc504654", "kernel_id": "18004948"}, {"ref": "tatsukikokufu/notebooke0bc1d7453", "kernel_id": "18005059"}, {"ref": "nishitani/notebook85e223d9a6", "kernel_id": "18005454"}, {"ref": "yutomoritokushima/notebook1adecbd7f0", "kernel_id": "18006185"}, {"ref": "taisei1234/notebook55dee6f2c9", "kernel_id": "18007064"}, {"ref": "akiyamakoki/notebookf961226653", "kernel_id": "18007626"}, {"ref": "matsumoto1109/notebook3aa467a379", "kernel_id": "18008280"}, {"ref": "hirokikubo/notebook7fc80306ba", "kernel_id": "18009143"}, {"ref": "soumafujiwara/notebook1122ef09b8", "kernel_id": "18010066"}, {"ref": "soumafujiwara/notebook9cedc3958c", "kernel_id": "18012692"}, {"ref": "kalpikhamogha/titanic-predictions-random-forest-classifier", "kernel_id": "18870920"}, {"ref": "yangmo1/notebooke86ebee139", "kernel_id": "18010453"}, {"ref": "sugimaron/notebook7titanic", "kernel_id": "18011758"}, {"ref": "sugimaron/notebook1c532b3dee", "kernel_id": "18011274"}, {"ref": "omorikohei/notebookbe19928027", "kernel_id": "18012203"}, {"ref": "shimizutaku/notebooka967a846be", "kernel_id": "18013903"}, {"ref": "ohmaetakashi/notebooka0878f883d", "kernel_id": "18013969"}, {"ref": "sekiya/notebookcbb2ed29fa", "kernel_id": "18018512"}, {"ref": "motoegeorge/notebookf0f23516bc", "kernel_id": "18019038"}, {"ref": "kenta1234/notebookcbb2a683ab", "kernel_id": "18022446"}, {"ref": "hamada1063/notebookb5234f24d2", "kernel_id": "18023810"}, {"ref": "hiroakitanaka1998/notebook2e4858b473", "kernel_id": "18024265"}, {"ref": "edayudai/notebookc8d2232ea8", "kernel_id": "18027401"}, {"ref": "tanimotojunpei/notebookdccd2ee801", "kernel_id": "18026053"}, {"ref": "tanimotojunpei/notebook203ba77f61", "kernel_id": "18025696"}, {"ref": "takutomiura/notebook526868683d", "kernel_id": "18025874"}, {"ref": "taiseiyoshikawa/notebook515af0abbf", "kernel_id": "18026181"}, {"ref": "hayashihonoka/notebook14f9e2874c", "kernel_id": "18028427"}, {"ref": "koshirouhori/notebook78093bd34d", "kernel_id": "18028843"}, {"ref": "koshirouhori/notebook7d047a0ea0", "kernel_id": "18026392"}, {"ref": "koshirouhori/notebook233c03ecb2", "kernel_id": "18026273"}, {"ref": "nakaji105/notebook1bd2df5fac", "kernel_id": "18026197"}, {"ref": "matsuuramakoto/notebook9f892cd4d5", "kernel_id": "18026251"}, {"ref": "momokowatanabe/notebookada18d74b4", "kernel_id": "18026231"}, {"ref": "c612136001/notebook9ec9244436", "kernel_id": "18026383"}, {"ref": "naokifuruya/notebook46525a9802", "kernel_id": "18026606"}, {"ref": "mukaeayaka/notebook1d7ef28de6", "kernel_id": "18026790"}, {"ref": "mukaeayaka/notebook726d228659", "kernel_id": "18030216"}, {"ref": "mbappe1228/notebook23185f4148", "kernel_id": "18026797"}, {"ref": "t246810/notebook071040b2bf", "kernel_id": "18027565"}, {"ref": "pigepige/notebook62773dcd3e", "kernel_id": "18027962"}, {"ref": "pigepige/notebook117adf3504", "kernel_id": "18027037"}, {"ref": "onokouma/notebook9d8869bf5f", "kernel_id": "18026932"}, {"ref": "oyamadatappei/notebook076dab3be1", "kernel_id": "18027649"}, {"ref": "oyamadatappei/notebook085850c514", "kernel_id": "18028279"}, {"ref": "hidekazuono/notebookcf563460b0", "kernel_id": "18027856"}, {"ref": "miyauchihyogo/notebook8b835059bd", "kernel_id": "18027783"}, {"ref": "portulaca/notebook92fc60a6a5", "kernel_id": "18028328"}, {"ref": "takeichimakoto/notebook495eef350d", "kernel_id": "18028373"}, {"ref": "takeichimakoto/notebook89200167f4", "kernel_id": "18027903"}, {"ref": "takeichimakoto/notebook1316b64c11", "kernel_id": "18028148"}, {"ref": "takeichimakoto/notebookca8bbaeb86", "kernel_id": "18028272"}, {"ref": "shotaokada/notebook3a852db52d", "kernel_id": "18028804"}, {"ref": "takeshiyasui/notebook097dfd0ce2", "kernel_id": "18028644"}, {"ref": "yutayuta/notebook7040c0176c", "kernel_id": "18028311"}, {"ref": "takumimanabe/notebook2fce2072a3", "kernel_id": "18028693"}, {"ref": "shimmenayumi/notebookf77157faf3", "kernel_id": "18029287"}, {"ref": "kwskhnt/notebook638b3aacf9", "kernel_id": "18029271"}, {"ref": "sayaonishi/notebook03c8e59203", "kernel_id": "18030702"}, {"ref": "izumiyukimune/notebook95575d31f0", "kernel_id": "18029612"}, {"ref": "izumiyukimune/notebookafbc3f3d2d", "kernel_id": "18029937"}, {"ref": "shinozakitsubasa/notebook331ac0b608", "kernel_id": "18029965"}, {"ref": "yusukefujii/notebook795e2d8f46", "kernel_id": "18029994"}, {"ref": "tadamasahayata/notebookbc2f0e2e93", "kernel_id": "18030072"}, {"ref": "utokaori/notebook62ef7c6402", "kernel_id": "18030561"}, {"ref": "takumimiyagawa2/notebook6795f50aa1", "kernel_id": "18030718"}, {"ref": "mrryt09i9/notebook40fe56d9f7", "kernel_id": "18030632"}, {"ref": "yuma555/notebookd33e521fa9", "kernel_id": "18030924"}, {"ref": "kyosukehamaguchi/notebook1402c47044", "kernel_id": "18031271"}, {"ref": "masahitohorie/notebook61aa641369", "kernel_id": "18031356"}, {"ref": "yohei310/notebook6f3ae5a0a0", "kernel_id": "18031358"}, {"ref": "onishiyutaro/notebook91d1d6e40a", "kernel_id": "18031579"}, {"ref": "davidasr/titanic-testing", "kernel_id": "18251533"}, {"ref": "davidasr/titanic", "kernel_id": "18250555"}, {"ref": "gerardoordoezgalindo/titanic-disaster-99-28-gog", "kernel_id": "18295705"}, {"ref": "gerardoordoezgalindo/titanic-disaster-gog", "kernel_id": "18143668"}, {"ref": "suhaibalihassan/titanic-competition", "kernel_id": "18828625"}, {"ref": "wssamhassan/titanic-using-logistic-regression-wssam-hassan", "kernel_id": "18932948"}, {"ref": "misoramen/titanicproblem", "kernel_id": "18556349"}, {"ref": "hongfazhang/titanic-version-2", "kernel_id": "18117027"}, {"ref": "ancyli/titanic-top-4-with-ensemble-modeling", "kernel_id": "18365105"}, {"ref": "ancyli/cabin-survived", "kernel_id": "18370091"}, {"ref": "ancyli/titanic-advanced-feature-engineering-tutorial", "kernel_id": "18368956"}, {"ref": "quangchiem/titanic-disaster", "kernel_id": "18118578"}, {"ref": "miguel1982/notebookc81edfdb85", "kernel_id": "18272900"}, {"ref": "c612135003/notebook726d228659", "kernel_id": "18130756"}, {"ref": "valentinateslenko/the-rich-have-a-better-chance-of-surviving", "kernel_id": "18272339"}, {"ref": "seohyunjong/titanic", "kernel_id": "18291125"}, {"ref": "omidforoqi/titanic-binary-classification-classic-models", "kernel_id": "18322231"}, {"ref": "omidforoqi/tensorflow-decision-forests-tfdf-titanic", "kernel_id": "18358862"}, {"ref": "garvanuts/titanic-datasets-ml-with-r-journey-to-top-1", "kernel_id": "18394524"}, {"ref": "garvanuts/tidymodels-in-r-top-10-titanic-score", "kernel_id": "18394404"}, {"ref": "ilhamafounnas/can-we-predict-who-would-ve-survived-the-titanic", "kernel_id": "18456341"}, {"ref": "samerrkhann/kaggle-titanic", "kernel_id": "18348155"}, {"ref": "rushithakkaraju/logistic-regression-using-aic-titanic-competition", "kernel_id": "18283677"}, {"ref": "mostafaemam0/titanic-competition-logistic-regression", "kernel_id": "18804603"}, {"ref": "hebawaelr/final-version", "kernel_id": "18910794"}, {"ref": "ilyessr/notebook-titanic-75-accuracy", "kernel_id": "18266752"}, {"ref": "mohammedabdulnaser/titanic-mo", "kernel_id": "18929112"}, {"ref": "zcc1997/linear", "kernel_id": "18421159"}, {"ref": "olehmezhenskyi/titanic-competetion-3-models-with-voting", "kernel_id": "18579070"}, {"ref": "tasneemmohamedsaad/titanic", "kernel_id": "18886136"}, {"ref": "knuthegg/titanic-beginner-attempt", "kernel_id": "18492008"}, {"ref": "jeongkyulim/titanic-prediction-with-randomforest", "kernel_id": "18344115"}, {"ref": "keerthanamreddy/titanic-week-3", "kernel_id": "18580289"}, {"ref": "akrimiiheb/titanic", "kernel_id": "18355241"}, {"ref": "fukushikaiyu/notebook3a7eda7b75", "kernel_id": "18731441"}, {"ref": "mdhasanulkabir/titanic-basic-problem-solution-using-adaboost", "kernel_id": "18610392"}, {"ref": "tangxiaoming/titanic-survivors", "kernel_id": "18374162"}, {"ref": "thuylinh110/decision-tree", "kernel_id": "18743361"}, {"ref": "uomcse170016u/titanic-comp", "kernel_id": "18875466"}, {"ref": "sanduni170294r/titanic-competition-170294r", "kernel_id": "18604584"}, {"ref": "id170638d/titanic", "kernel_id": "18761407"}, {"ref": "rukmalcse170571n/titanic-ml-challange-170571n", "kernel_id": "18823309"}, {"ref": "cse170393u/titanic-dataset-with-randomforest", "kernel_id": "18799028"}, {"ref": "asanka170482r/titanic-dataset-feature-engineering", "kernel_id": "18884628"}, {"ref": "hashini170144j/titanic-competition-submission", "kernel_id": "18871690"}, {"ref": "uomcse170580p/titanic", "kernel_id": "18549345"}, {"ref": "uom170481m/titanic-ml-170481m", "kernel_id": "18881744"}, {"ref": "mhfafra170018d/titanic-solution-using-random-forest", "kernel_id": "18764653"}, {"ref": "cse170174b/titanic", "kernel_id": "18552220"}, {"ref": "missakavherath/getting-started-with-titanic", "kernel_id": "18851443"}, {"ref": "uom170628x/ml-titanic-170628x-assignment", "kernel_id": "18872691"}, {"ref": "thukaraka/170417b", "kernel_id": "18806928"}, {"ref": "roopambachhil/titanic-prediction", "kernel_id": "18609669"}, {"ref": "numnumnumm/titanic-survived-score-0-799", "kernel_id": "18467902"}, {"ref": "ericchehata/titanic", "kernel_id": "18420402"}, {"ref": "ayeshhallawaarachchi/170203p-titanic-competition", "kernel_id": "18824934"}, {"ref": "marvtv/decition-tree123", "kernel_id": "18829593"}, {"ref": "hide2023/notebook506110745d", "kernel_id": "18440038"}, {"ref": "franciscoborjal/getting-started-with-titanic", "kernel_id": "18607878"}, {"ref": "e170337/titanic-submission", "kernel_id": "18854716"}, {"ref": "raoulnormand/titanic-final-outputs", "kernel_id": "18886122"}, {"ref": "raoulnormand/titanic-detailed-solution", "kernel_id": "18702837"}, {"ref": "raoulnormand/titanic-testing-different-models-and-features", "kernel_id": "18771755"}, {"ref": "uom170589c/titanic-170589c", "kernel_id": "18641216"}, {"ref": "imbc0224/titanic-basic", "kernel_id": "18891916"}, {"ref": "hamza008/titanic-project", "kernel_id": "18808477"}, {"ref": "cse170104m/titanic-randomforest", "kernel_id": "18855597"}, {"ref": "jefrijebason/jefri-jebason-titanic", "kernel_id": "18731958"}, {"ref": "jyotsnapathak/gettingstartedwithtitanic", "kernel_id": "18537582"}, {"ref": "sathishkumarpoola/titanic-prediction-rf", "kernel_id": "18505859"}, {"ref": "uom170708t/notebook1b5012a4ae", "kernel_id": "18854221"}, {"ref": "uom170413j/titanic-solution-170413j", "kernel_id": "18717248"}, {"ref": "uom170046k/final-170046k", "kernel_id": "18764324"}, {"ref": "uom170205a/titanic-competition-uom-170205a", "kernel_id": "18858280"}, {"ref": "uom170587t/notebookd3bc709620", "kernel_id": "18878530"}, {"ref": "unrkulaweera170320v/uom-170320v-titanic", "kernel_id": "18861528"}, {"ref": "uomcse170264c/titanic-170264c", "kernel_id": "18854714"}, {"ref": "lakshan170681c/170681c", "kernel_id": "18849745"}, {"ref": "dzp2651/titanic-dataset-demo", "kernel_id": "18539349"}, {"ref": "shashimal170568l/170568l-titanic", "kernel_id": "18567691"}, {"ref": "uom170367u/titanic-uom-170367u", "kernel_id": "18879321"}, {"ref": "uom170479n/uom-titanic", "kernel_id": "18865454"}, {"ref": "uom170662u/titanic", "kernel_id": "18723701"}, {"ref": "uom170366p/notebook097d7b2ecb", "kernel_id": "18797433"}, {"ref": "uom170158f/notebook-titanic-version15", "kernel_id": "18803763"}, {"ref": "uom170405l/uom-170405l", "kernel_id": "18795474"}, {"ref": "uom170334r/getting-started-with-titanic", "kernel_id": "18791116"}, {"ref": "uom170307m/titanic-disaster-170307m", "kernel_id": "18824734"}, {"ref": "uom170517g/170517g-submission", "kernel_id": "18874779"}, {"ref": "uom170517g/170517g", "kernel_id": "18827103"}, {"ref": "uom170406p/uom-170406p-titanic-competition", "kernel_id": "18805145"}, {"ref": "uom170676p/170676p-notebook", "kernel_id": "18778595"}, {"ref": "uom170074t/my-titanic-notebook", "kernel_id": "18778072"}, {"ref": "uom170521m/feature-engineering-titanic", "kernel_id": "18803165"}, {"ref": "uom170098u/titanic-submission", "kernel_id": "18795767"}, {"ref": "uom170145m/getting-started-with-titanic", "kernel_id": "18781910"}, {"ref": "uom170050r/final-submission-170050r", "kernel_id": "18877609"}, {"ref": "uom170608l/titanic-final", "kernel_id": "18875967"}, {"ref": "uom170025v/titanic-170025v", "kernel_id": "18805935"}, {"ref": "uom170210j/titanic-170210j", "kernel_id": "18882122"}, {"ref": "uom170160e/personal-notebook-titanic", "kernel_id": "18712529"}, {"ref": "uom170199f/notebook57c1c08203", "kernel_id": "18814396"}, {"ref": "uom170610k/titanic-final", "kernel_id": "18878850"}, {"ref": "uom170346f/notebook-titanic-failed", "kernel_id": "18880143"}, {"ref": "uom170473p/notebook163631ebf6", "kernel_id": "18883677"}, {"ref": "uom170645v/170645v-1", "kernel_id": "18796471"}, {"ref": "uom170527l/notebook-170527l", "kernel_id": "18881141"}, {"ref": "uom170097p/uom-170097p", "kernel_id": "18878437"}, {"ref": "uom170328d/notebook287805f882", "kernel_id": "18674793"}, {"ref": "uom170066v/170066v-titanic-notebook", "kernel_id": "18811461"}, {"ref": "uom170446l/titanic-random-forest-classifier-170446l", "kernel_id": "18789274"}, {"ref": "uom170431l/titanic-random-forest", "kernel_id": "18763843"}, {"ref": "uom170585k/titanic-170585k", "kernel_id": "18877406"}, {"ref": "uom170138u/170138u", "kernel_id": "18808095"}, {"ref": "uom170096l/170096l", "kernel_id": "18857488"}, {"ref": "uom170141x/uom-170141x-ml", "kernel_id": "18878431"}, {"ref": "uom170612t/titanic", "kernel_id": "18869093"}, {"ref": "uom170081l/titanic-assignment-2", "kernel_id": "18804399"}, {"ref": "uom170081l/titanic-assignment", "kernel_id": "18561042"}, {"ref": "uom170504n/titanic-competition-uom-170504n", "kernel_id": "18797438"}, {"ref": "uom170494f/titanic-170494f", "kernel_id": "18645377"}, {"ref": "uom170350l/170350l", "kernel_id": "18810040"}, {"ref": "uom170604v/titanic-challenge", "kernel_id": "18830822"}, {"ref": "uom170011b/getting-started-with-titanic", "kernel_id": "18872941"}, {"ref": "uom170669x/titanic-survival-prediction", "kernel_id": "18820717"}, {"ref": "uom170243l/test-titanic", "kernel_id": "18865193"}, {"ref": "uom170685r/titanic-competition", "kernel_id": "18783308"}, {"ref": "uom170427f/notebook6c89a14066", "kernel_id": "18744498"}, {"ref": "uom170643m/titanic-random-forest", "kernel_id": "18869839"}, {"ref": "uom170606e/titanic-competition", "kernel_id": "18877348"}, {"ref": "uom170342n/titanic-competition-170342n", "kernel_id": "18873597"}, {"ref": "uom170576j/170576j-titanic", "kernel_id": "18884069"}, {"ref": "uom170217l/uom-cse-ml-170217l", "kernel_id": "18841502"}, {"ref": "uom170313d/titaniccomp-170313d", "kernel_id": "18876933"}, {"ref": "ruchin170031k/titanic-170031k", "kernel_id": "18896212"}, {"ref": "uom170153k/170153k-titanic-dataset", "kernel_id": "18585057"}, {"ref": "uom170020c/170020c-titanic", "kernel_id": "18841860"}, {"ref": "uom170176h/feature-eng1", "kernel_id": "18802922"}, {"ref": "uom170275k/getting-started-with-titanic", "kernel_id": "18823967"}, {"ref": "uom170584g/notebooke6331be569", "kernel_id": "18819168"}, {"ref": "uom170326u/170326u-titanic", "kernel_id": "18820884"}, {"ref": "petraneumann/data-analysis-titanic-data-python", "kernel_id": "18829699"}, {"ref": "petraneumann/titanic-competition-submission", "kernel_id": "18659876"}, {"ref": "uom170593h/notebookea627fe1c5", "kernel_id": "18786084"}, {"ref": "lmyybh/titanic-prediction", "kernel_id": "18575379"}, {"ref": "vancat0923/titanic", "kernel_id": "18733103"}, {"ref": "riteeshkotturu/notebook1f735d9b43", "kernel_id": "18787455"}, {"ref": "naliem/how-well-you-know-titanic-data-beginner-s-guide", "kernel_id": "18782807"}, {"ref": "pushkarawasthi/titanic-notebook-analysis", "kernel_id": "18740658"}, {"ref": "uom170512l/170512l-titanic-submission", "kernel_id": "18850819"}, {"ref": "arifrb/titanic-dataset-basic-analysis", "kernel_id": "18971618"}, {"ref": "jewonhwang/taitanic", "kernel_id": "18609285"}, {"ref": "shokann/logistic-regression-titanic", "kernel_id": "18613460"}, {"ref": "jaeyuyeh/titanic-machine-learning-from-disaster-top-4", "kernel_id": "18662698"}, {"ref": "dariocioni/getting-started-with-titanic", "kernel_id": "18806215"}, {"ref": "jlg17373/titanic-1st-notebook", "kernel_id": "18909360"}, {"ref": "spanishmike/pyth-tanic-spanish-beginner-edition", "kernel_id": "18655756"}, {"ref": "aman1pratap1singh/titanic-machine-learning-from-disaster", "kernel_id": "18909218"}, {"ref": "tszyankam/sas-to-python-cheatsheet", "kernel_id": "18656801"}, {"ref": "marcusdentersilva/titanic-challenge-shared", "kernel_id": "18662792"}, {"ref": "uom170396g/170396g-titanic-competition", "kernel_id": "18709403"}, {"ref": "therahulparmar/titanic-survival-prediction", "kernel_id": "18738297"}, {"ref": "irenegarcacavero/titanic-predictions", "kernel_id": "18947927"}, {"ref": "jortam/titanic-survival-predictions", "kernel_id": "18708793"}, {"ref": "nesterenkomarina/getting-started-with-titanic-0-77511-score", "kernel_id": "18768001"}, {"ref": "nayrouzhamdy/titanic-final22", "kernel_id": "18921376"}, {"ref": "abuaisy/titanic-01", "kernel_id": "18735432"}, {"ref": "ryanchencrj/practice-titanic-survival", "kernel_id": "18914721"}, {"ref": "harmanjot96/ttanic-predictions", "kernel_id": "18781038"}, {"ref": "arjunrkaushik/titanic", "kernel_id": "18771434"}, {"ref": "browntarync/titanic-logistic-regression-with-python", "kernel_id": "18762283"}, {"ref": "srinivisam/a-guide-to-handling-missing-values-in-python", "kernel_id": "18764579"}, {"ref": "babludash/01-getting-started-with-titanic-survival-pred", "kernel_id": "18879837"}, {"ref": "kumudgoswami/titanic-solution", "kernel_id": "18778808"}, {"ref": "sunalpatri/titanic-kaggle-solution", "kernel_id": "18783847"}, {"ref": "bassmahassan/titanic-competetion-ml1-iti-g5-bassma-hassan", "kernel_id": "18824873"}, {"ref": "divych13/handle-missing-values-only-notebook-you-need", "kernel_id": "18924530"}, {"ref": "alimohammedbakhiet/eda-titanic-dataset-analysis", "kernel_id": "18924806"}, {"ref": "amiramosa99/titanic-randomforest", "kernel_id": "18909897"}, {"ref": "branislavsetlak/random-tree-classifier-titanic", "kernel_id": "18836089"}, {"ref": "ayadayem/ai-iti-grp5-titanic", "kernel_id": "18909949"}, {"ref": "ayadayem/notebookee67e8199b", "kernel_id": "18933353"}, {"ref": "farhatbassel/titanic-data-set", "kernel_id": "18943239"}, {"ref": "ewexler/notebook772323a5ce", "kernel_id": "18876381"}, {"ref": "jck0123/fork-of-titanic-data-science-solutions", "kernel_id": "18903928"}, {"ref": "kishanmodasiya/titanic-survival", "kernel_id": "18943909"}, {"ref": "weicheng0/titanic", "kernel_id": "18958908"}, {"ref": "priyabhaduria/titanic-survival-prediction-with-ml", "kernel_id": "18937166"}, {"ref": "amanswarnkar2001/titanic", "kernel_id": "18987815"}, {"ref": "shirazumlintraminhaghjou/titanic-prediction-90-accuracy", "kernel_id": "19311113"}, {"ref": "travismason/data-prep-and-analysis-titanic-data-python", "kernel_id": "19059924"}, {"ref": "yosikristian/titanic", "kernel_id": "19239392"}, {"ref": "ravi28/titanic-revisited", "kernel_id": "19034022"}, {"ref": "brettmonson/notebook76aff2235b", "kernel_id": "19036338"}, {"ref": "bcruise/titanic-decision-tree", "kernel_id": "19941640"}, {"ref": "bcruise/titanic-random-forest", "kernel_id": "19959397"}, {"ref": "bcruise/titanic-decision-tree-rf-gb", "kernel_id": "19670837"}, {"ref": "kotisingam/notebook32cb5d7225", "kernel_id": "19319670"}, {"ref": "paintingpeter/day1-titanic", "kernel_id": "19051317"}, {"ref": "sureshindira/30-days-of-ml-day-01", "kernel_id": "19095115"}, {"ref": "cromanes/titanic-gender-submission", "kernel_id": "19277153"}, {"ref": "martuza/random-forest-classification", "kernel_id": "19732633"}, {"ref": "chadts/getting-started-with-titanic", "kernel_id": "19058811"}, {"ref": "duderbats/getting-started-with-titanic", "kernel_id": "19038206"}, {"ref": "durgaswaroop/my-titanic", "kernel_id": "19040205"}, {"ref": "laurauzcategui/titanic-competition", "kernel_id": "19037061"}, {"ref": "prasnaya/notebookff5008aa69", "kernel_id": "19094947"}, {"ref": "arunkhattri/pythonic-story-of-titanic", "kernel_id": "19323946"}, {"ref": "kwaito/titanic", "kernel_id": "19620242"}, {"ref": "rickynauvaldy/titanic-tutorial", "kernel_id": "19057546"}, {"ref": "pavan85/titanic-survival", "kernel_id": "19073302"}, {"ref": "satbabu/learn-through-titanic-survivor-challenge", "kernel_id": "19249800"}, {"ref": "akash211/getting-started-with-titanic", "kernel_id": "19113013"}, {"ref": "sravyaysk/titanic-tutorial-week1-bonus-30-days-of-ml", "kernel_id": "19370387"}, {"ref": "rajamykaggle/titanic-explainable-ml-code-part1", "kernel_id": "19954744"}, {"ref": "rajamykaggle/titanic-explainable-ml-code-part2", "kernel_id": "19956833"}, {"ref": "judejob/getting-started-with-titanic", "kernel_id": "19229864"}, {"ref": "delaram/titanic", "kernel_id": "19065735"}, {"ref": "tyadav/titanic-tutorial", "kernel_id": "19082695"}, {"ref": "ankush89/temp-workflow", "kernel_id": "19782169"}, {"ref": "yingdingwang/30days-of-ml-01-getting-started-with-titanic", "kernel_id": "19160058"}, {"ref": "bappaditya/getting-started-with-titanic", "kernel_id": "19483942"}, {"ref": "yankeemike/aimatch-titanic-predictions", "kernel_id": "19093986"}, {"ref": "dardeery/titanic-tutorial", "kernel_id": "19124675"}, {"ref": "rajkislayraj/getting-started-with-titanic-dataset-using-python", "kernel_id": "19058807"}, {"ref": "mrugaadhvaryu/titanic-basics", "kernel_id": "19075620"}, {"ref": "vshantam/getting-started-with-titanic-very-basic-approch", "kernel_id": "19047248"}, {"ref": "sanchitsood/30days-of-ml-challenge", "kernel_id": "19079751"}, {"ref": "sandravyp/notebookb511c30491", "kernel_id": "19986731"}, {"ref": "rudralad/getting-started-with-titanic", "kernel_id": "19036097"}, {"ref": "rogermiller/getting-started-with-titanic", "kernel_id": "19126943"}, {"ref": "ancona/getting-started-with-titanic", "kernel_id": "19052513"}, {"ref": "maikai/getting-started-with-titanic", "kernel_id": "19063213"}, {"ref": "javedali99/30-days-of-code-day-1", "kernel_id": "19066350"}, {"ref": "sputnik57/titanic-primer", "kernel_id": "19053019"}, {"ref": "alwaridi/getting-started-with-titanic", "kernel_id": "19065480"}, {"ref": "christodoulos/simple-feature-engineering", "kernel_id": "19314147"}, {"ref": "yuvi911987/30-days-of-ml-titanic", "kernel_id": "19047280"}, {"ref": "pellok/notebook5e8428c5b9", "kernel_id": "19544922"}, {"ref": "dave123/titanic-prediction-with-simple-ensemble-proba", "kernel_id": "19193927"}, {"ref": "alfredtangss/getting-started-with-titanic", "kernel_id": "19077817"}, {"ref": "sujataroy/getting-started-with-titanic", "kernel_id": "19045611"}, {"ref": "karolmc/getting-started-with-titanic", "kernel_id": "19033618"}, {"ref": "srinigill/notebookb9d5b3a8f0", "kernel_id": "19502508"}, {"ref": "recordyao/1-titanic", "kernel_id": "19893344"}, {"ref": "injamul/all-about-titanic", "kernel_id": "19229583"}, {"ref": "nishithamajeti/titanic", "kernel_id": "19173086"}, {"ref": "palakjn/my-30-days-of-ml-day-1-starting-with-titanic", "kernel_id": "19065864"}, {"ref": "rongjinwong/getting-started-with-titanic", "kernel_id": "19091611"}, {"ref": "demonkid98/titanic-challenge", "kernel_id": "19079355"}, {"ref": "billythekid945/titanic1st-trial", "kernel_id": "19600657"}, {"ref": "fionaaaa/titanic-mayhem-code", "kernel_id": "19090106"}, {"ref": "sergg0/titanic-machine-learning-predictions", "kernel_id": "19059753"}, {"ref": "littlefish0331/youjun-30-days-of-ml-challenge-d01", "kernel_id": "19053780"}, {"ref": "jonathanobise/getting-started-with-titanic", "kernel_id": "19208264"}, {"ref": "zintun/getting-started-with-titanic", "kernel_id": "19092019"}, {"ref": "fbetul/survival-prediction-with-feature-selection", "kernel_id": "19726879"}, {"ref": "whenthetidegoesout/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19099149"}, {"ref": "grey77/getting-started-with-titanic", "kernel_id": "19065968"}, {"ref": "grngqm/eda-titanic-30-days-of-ml", "kernel_id": "19062548"}, {"ref": "atenciop/tutorial-for-30-days-of-ml-titanic", "kernel_id": "19155242"}, {"ref": "tuniosuleman/titanic-notebook", "kernel_id": "19168257"}, {"ref": "yousefzook/titanic-data-preprocessing", "kernel_id": "19662911"}, {"ref": "saurabhit1127/notebook2ec8ec466d", "kernel_id": "19054341"}, {"ref": "himalayaashish/titanic-prediction-with-8-ml-models", "kernel_id": "19856910"}, {"ref": "saurabhpojhi/fork-of-notebook71c8417d4e", "kernel_id": "19591255"}, {"ref": "galleonchestnut/titanic-xgb-rfm", "kernel_id": "19058801"}, {"ref": "maheshmj007/ai-tool-for-enterprise-from-concept-to-deployment", "kernel_id": "19937308"}, {"ref": "sachinprabhu007/30-days-of-ml-day-1", "kernel_id": "19299898"}, {"ref": "bhartisinha/titanic-completeset", "kernel_id": "19151505"}, {"ref": "sujit2018/getting-started-with-titanic", "kernel_id": "19065433"}, {"ref": "shtriker009/titanic-survivability-prediction", "kernel_id": "19037219"}, {"ref": "padegal/titanic-machine-learning-from-a-disaster", "kernel_id": "19416613"}, {"ref": "victorikechukwu/getting-started-with-titanic-datasets", "kernel_id": "19255569"}, {"ref": "bijucyborg/day-1-30-days-of-kaggle", "kernel_id": "19045099"}, {"ref": "taryll/titanic-classification", "kernel_id": "19799817"}, {"ref": "rohanpatnaik/notebookea26d1490c", "kernel_id": "19957240"}, {"ref": "bharatmohan/python-for-data-26-anova", "kernel_id": "19933179"}, {"ref": "bharatmohan/python-for-data-25-chi-squared-tests", "kernel_id": "19933235"}, {"ref": "swarajm/getting-started-with-titanic-030821", "kernel_id": "19087122"}, {"ref": "anthonytedde/getting-started-with-titanic-30d", "kernel_id": "19152747"}, {"ref": "zhrhtm/getting-started-with-titanic", "kernel_id": "19046109"}, {"ref": "altwals/getting-started-with-titanic", "kernel_id": "19101452"}, {"ref": "ggsri123/titanic-using-glm-svm-rf-xgboost-80-89-acc", "kernel_id": "19961800"}, {"ref": "esraaradyan/notebookea3aa48695", "kernel_id": "19122406"}, {"ref": "profatilova/titanic-30-days-of-ml-challenge-day1", "kernel_id": "19117746"}, {"ref": "shankar94/sh-titanic", "kernel_id": "19137894"}, {"ref": "bshweta/project-1-titanic-with-parameter-tuning", "kernel_id": "19050624"}, {"ref": "girisjakkam/marburg", "kernel_id": "19047740"}, {"ref": "infrarosso/titanic-xgboost-k-fold", "kernel_id": "19659832"}, {"ref": "yosrinegm/data-exploration", "kernel_id": "19044666"}, {"ref": "kultigin/titanik-project-1", "kernel_id": "19929762"}, {"ref": "mohamedsobhi777/top-4", "kernel_id": "19518632"}, {"ref": "deepanshu001/extensive-eda-on-the-titanic-data", "kernel_id": "19481657"}, {"ref": "ankit974gupta/travel-in-titanic", "kernel_id": "19088118"}, {"ref": "aryamaray/notebook1414e8db61", "kernel_id": "19051872"}, {"ref": "yoawesome/titanic-anurag-knn", "kernel_id": "19397402"}, {"ref": "narsiis23/titanic-ml-logistic-regression-vs-knn", "kernel_id": "19295669"}, {"ref": "bsirmacek/getting-started-with-the-ml-30-day", "kernel_id": "19075686"}, {"ref": "prady1997/titanic-eda", "kernel_id": "19780578"}, {"ref": "dquadro/titanic-top-1-with-gradient-boost-classifier", "kernel_id": "19419911"}, {"ref": "arka1112/logistic-regression-on-titanic", "kernel_id": "19725380"}, {"ref": "dukepixie/my-personal-titanic", "kernel_id": "19071041"}, {"ref": "cgrant007/gettingstartedtitanic", "kernel_id": "19096712"}, {"ref": "rcd1693/titanicstarternotebook", "kernel_id": "19246095"}, {"ref": "zim2510/getting-started-with-titanic", "kernel_id": "19179155"}, {"ref": "banerjeesoumya15/titanic-tutorial", "kernel_id": "19284833"}, {"ref": "elfath/day-1-30-days-of-ml-titanic-case", "kernel_id": "19106079"}, {"ref": "abhiroop43/notebookee6e1bc654", "kernel_id": "19164523"}, {"ref": "abhiroop43/titanic-sinks", "kernel_id": "19396526"}, {"ref": "vedanth777/titanic-column-transform", "kernel_id": "19862569"}, {"ref": "tbalbot/getting-started-with-titanic", "kernel_id": "19076333"}, {"ref": "sripaadsrinivasan/titanic-klib", "kernel_id": "19100214"}, {"ref": "rahul2020/getting-started-with-titanic", "kernel_id": "19062824"}, {"ref": "faezakamran/titanic-survival-prediction", "kernel_id": "19772790"}, {"ref": "masaonda/titanic-how-to-use-tabnet", "kernel_id": "19296982"}, {"ref": "phoopyaepyaelinn/titanic-survival-neural-network-classifier", "kernel_id": "19464841"}, {"ref": "lima01/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19180055"}, {"ref": "mohamedgamal1/getting-started-with-titanic", "kernel_id": "19053216"}, {"ref": "abhi8901/titanic-survival-prediction", "kernel_id": "19193325"}, {"ref": "aishwaryanarasimhan/getting-started-with-titanic-data", "kernel_id": "19350364"}, {"ref": "chandan0709/30daysofml-d1", "kernel_id": "19184042"}, {"ref": "subinium/all-you-need-is-pandas-benchmark-viz", "kernel_id": "19958866"}, {"ref": "eslamengi/eslam-getting-started-with-titanic", "kernel_id": "19047020"}, {"ref": "guddubhagat2019/titanic-dataset", "kernel_id": "19491437"}, {"ref": "zpraj09/titanic-30-days-of-ml-challenge-d1", "kernel_id": "19084889"}, {"ref": "youssefkhattab/analysis0", "kernel_id": "19053547"}, {"ref": "majod1414/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19157154"}, {"ref": "pauleon/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19153073"}, {"ref": "dimkarodin/titanic-sklearn", "kernel_id": "19874681"}, {"ref": "kazuhito00/flaml-binary-classification-titanic-sample", "kernel_id": "19895726"}, {"ref": "dtrade84/titanic-problem", "kernel_id": "19481903"}, {"ref": "mehtasham/getting-started-with-titanic-dataset", "kernel_id": "19036189"}, {"ref": "hairchickenfit/day-1-of-30-days-of-ml", "kernel_id": "19059728"}, {"ref": "gissaonilu/getting-started-with-titanic1", "kernel_id": "19044431"}, {"ref": "abhash896/logistic-regression-model-on-titanic-dataset", "kernel_id": "19457170"}, {"ref": "pelle67/getting-started-with-titanic", "kernel_id": "19047750"}, {"ref": "purumalgi/titanic-eda-lr-model-beginner-s-version", "kernel_id": "19896677"}, {"ref": "esrabaskurt/getting-started-with-titanic", "kernel_id": "19813755"}, {"ref": "sairaj29/titanic-ml-from-disaster", "kernel_id": "19172819"}, {"ref": "umeshv1999/getting-started-with-titanic-dataset", "kernel_id": "19185235"}, {"ref": "anjanibhattar/getting-started-with-titanic", "kernel_id": "19060512"}, {"ref": "uriyaba/titanic-survival-predictor", "kernel_id": "19012681"}, {"ref": "dvrob92/getting-started-with-the-titanic", "kernel_id": "19296429"}, {"ref": "eanrollings/titanic-women-children-large-groups-of-adults", "kernel_id": "19048659"}, {"ref": "mohsinisu/who-will-survive-the-next-titanic", "kernel_id": "19671171"}, {"ref": "printemps90/day-1-getting-started-with-titanic", "kernel_id": "19089129"}, {"ref": "asenaasena/getting-started-with-titanic", "kernel_id": "19091845"}, {"ref": "mahmoudelshaer/getting-started-with-titanic-day1-of-30-days-of-k", "kernel_id": "19059070"}, {"ref": "rishabh2110/titanic-eda-30days-ml", "kernel_id": "19083130"}, {"ref": "moizkhan11/getting-started-with-titanic", "kernel_id": "19082939"}, {"ref": "hemanthjhdhjgd/titanic", "kernel_id": "19300577"}, {"ref": "suryaprasanth/first-submission", "kernel_id": "19688269"}, {"ref": "yoyoyo12/titanic-multiple-lenear-regression", "kernel_id": "19625189"}, {"ref": "legendsoul/30-days-of-ml-titanic-survival-case", "kernel_id": "19173973"}, {"ref": "karansmittal/getting-started-with-titanic-karan", "kernel_id": "19042737"}, {"ref": "harshsoni/titanic-dataset-kaggle-30daysofml-day-1", "kernel_id": "19104873"}, {"ref": "detailogy/titanic-tutorial", "kernel_id": "19047376"}, {"ref": "sunderb1207/titanic-survivors-prediction", "kernel_id": "19097883"}, {"ref": "shyambeer/getting-started-with-titanic", "kernel_id": "19110998"}, {"ref": "sciarrilli/getting-started-with-titanic", "kernel_id": "19114376"}, {"ref": "grecosalvatore94/notebook988f2add29", "kernel_id": "19045203"}, {"ref": "alabuda/titanic-dnn", "kernel_id": "19893219"}, {"ref": "grissel2019/getting-started-with-titanic", "kernel_id": "19066081"}, {"ref": "beoloruntobi/titanic-machine-learning-from-disaster", "kernel_id": "19036958"}, {"ref": "suvojeetdutta/day-1-getting-started-with-titanic", "kernel_id": "19065359"}, {"ref": "sahuashiskumar/titanic-eda-and-data-preparation-for-modelling", "kernel_id": "19039020"}, {"ref": "aldonistan/titanic-statistical-analysis-machine-learning", "kernel_id": "19864383"}, {"ref": "olajidechris/titanic-analysis", "kernel_id": "19439619"}, {"ref": "viluzp/titanic-30-days-ml-01", "kernel_id": "19184860"}, {"ref": "nahidhossain15/getting-started-with-titanic-30-days-of-ml-day-1", "kernel_id": "19064664"}, {"ref": "eujosh/getting-started-with-titanic", "kernel_id": "19532712"}, {"ref": "derisspina/titanic-xgb-optimized-with-optuna", "kernel_id": "19905839"}, {"ref": "asmohitt/titanic-survival-prediction-project", "kernel_id": "19904243"}, {"ref": "kausheeki01/notebooke07ee3355d", "kernel_id": "19255291"}, {"ref": "chimmu/getting-started-with-titanic", "kernel_id": "19106088"}, {"ref": "gusmonhe/getting-started-with-titanic", "kernel_id": "19162784"}, {"ref": "dragontwister/titanic", "kernel_id": "19058018"}, {"ref": "mokithossain/getting-started-with-titanic", "kernel_id": "19094238"}, {"ref": "ma7moud27/titanic-analysis-and-quick-prediction", "kernel_id": "19154533"}, {"ref": "bio4eta/pytorch-trial", "kernel_id": "19147696"}, {"ref": "marcelpetrick/notebook37337e8be2", "kernel_id": "19214386"}, {"ref": "shivamkc3/titanic-ml-top", "kernel_id": "19547585"}, {"ref": "ashkicker/titanic-survival-prediction-using-random-forest", "kernel_id": "19208976"}, {"ref": "saisadhu/notebookc36ce4df05", "kernel_id": "19658584"}, {"ref": "putriromhadhoni/prediction-model-for-titanic-dataset", "kernel_id": "19061301"}, {"ref": "vineel7871/titanic-survival-prediction", "kernel_id": "19294690"}, {"ref": "ganiyuolalekan/30-days-of-ml-day-1-eda-on-titanic-dataset", "kernel_id": "19090060"}, {"ref": "mohammg/getting-started-with-titanic", "kernel_id": "19047738"}, {"ref": "chaituuuuuuuuuu/optimized-solution-to-kaggle-s-titanic-survival", "kernel_id": "19544495"}, {"ref": "chaituuuuuuuuuu/titanic-survival-30-days-of-ml", "kernel_id": "19208248"}, {"ref": "aquaregis32/titanic-survival-dnnclassifier", "kernel_id": "19211363"}, {"ref": "kavisekar/model-exploration-random-forest-viz-30-days-of-ml", "kernel_id": "19093388"}, {"ref": "andresfelipehiguera/titanic", "kernel_id": "19055502"}, {"ref": "hamdallak/30-days-of-ml-titanic-data", "kernel_id": "19089388"}, {"ref": "jacky72503/titanic-prediction-with-xgboost", "kernel_id": "19082323"}, {"ref": "romanticengineer/titanic2", "kernel_id": "19211656"}, {"ref": "romanticengineer/getting-started-with-titanic", "kernel_id": "19210528"}, {"ref": "tosiful/getting-started-with-titanic", "kernel_id": "19034912"}, {"ref": "shreyashgupta88/titanic-survival-prediction-how-i-got-to-top-3", "kernel_id": "19589921"}, {"ref": "billmj/titanic-basic-solution-using-adaboost", "kernel_id": "19349913"}, {"ref": "daishinkan002/day-1-of-30-days-of-code", "kernel_id": "19081725"}, {"ref": "agungardiyanta/titanic-predictions", "kernel_id": "19156409"}, {"ref": "m3gal0/draft-1-day-1", "kernel_id": "19073411"}, {"ref": "danilopaula/random-forest-for-titanic-competition", "kernel_id": "19332359"}, {"ref": "srbh77/titanic", "kernel_id": "19034209"}, {"ref": "ruthyca/notebookb15e4f0103", "kernel_id": "19673709"}, {"ref": "kagiya00/tt-model-01", "kernel_id": "19721911"}, {"ref": "masood1402/getting-started-with-titanic", "kernel_id": "19035869"}, {"ref": "fenoch4real/titanic-survival-prediction", "kernel_id": "19062043"}, {"ref": "slowlearnermack/30-days-of-kaggle-day-1st", "kernel_id": "19090526"}, {"ref": "jayasuryacsbit/getting-started-with-titanic", "kernel_id": "19058389"}, {"ref": "omidkay/the-people-who-survived-titanic", "kernel_id": "19069642"}, {"ref": "samarkilany/titanic-randomforestmodel", "kernel_id": "19051624"}, {"ref": "yusrashereen/getting-started-with-titanic", "kernel_id": "19034374"}, {"ref": "abdoshaht/notebookd45b21cdf0", "kernel_id": "19149942"}, {"ref": "nisrindhoondia/getting-started-with-titanic-and-graphviz", "kernel_id": "19204841"}, {"ref": "mohamedabdelkarim/ml-30-days-challenge-titanic-ml-from-disaster", "kernel_id": "19086704"}, {"ref": "xtomzx/titanic-trial", "kernel_id": "19223605"}, {"ref": "brandnewmin/30-days-of-ml-day-1-titanic", "kernel_id": "19295555"}, {"ref": "protikmostafa/getting-started-titanic-competition-30daysofml", "kernel_id": "19148627"}, {"ref": "erickcalderin/my-titanic-submission", "kernel_id": "19117499"}, {"ref": "shashankshukla9919/getting-started-with-titanic", "kernel_id": "19037043"}, {"ref": "sadafkhan/titanic-surviver-prediction", "kernel_id": "19083977"}, {"ref": "mrud17/getting-started-with-titanic", "kernel_id": "19043822"}, {"ref": "mostafafaramin/getting-started-with-titanic", "kernel_id": "19962679"}, {"ref": "olesyapetrova/getting-started-with-titanic", "kernel_id": "19357120"}, {"ref": "chuckmartin/yet-another-forest-for-titanic", "kernel_id": "19886482"}, {"ref": "sheikabdul786/notebook-titanic", "kernel_id": "19095809"}, {"ref": "tranghuyennguyen/30-days-ml-titanic", "kernel_id": "19060787"}, {"ref": "anaselmasry/titanic-tutorial", "kernel_id": "19044071"}, {"ref": "harshsingh62/my-titanic-attempt", "kernel_id": "19036549"}, {"ref": "abdulwassay/getting-started-with-ml", "kernel_id": "19036348"}, {"ref": "kaustavpal/titanic-survival-prediction-logistic-regression", "kernel_id": "19867080"}, {"ref": "syedmubarak/titanic-complete-solutions-eda-ml", "kernel_id": "19831185"}, {"ref": "youssefadel/30-days-of-ml-day-1", "kernel_id": "19069411"}, {"ref": "chpallavi/titanic-dataset", "kernel_id": "19090572"}, {"ref": "nishtinaa/titanic-machine-learning-from-disaster-solution", "kernel_id": "19052632"}, {"ref": "ahmedelshehawy/titanic", "kernel_id": "19141665"}, {"ref": "sharifashik/ml-day-1-task", "kernel_id": "19172882"}, {"ref": "ramyababu/titanic-prediction", "kernel_id": "19632062"}, {"ref": "eo4wellness/day1-kaggle30daysml-gettingstarted", "kernel_id": "19053371"}, {"ref": "sakilansari/titanic-eda", "kernel_id": "19290950"}, {"ref": "karimelezabawy/titanic", "kernel_id": "19469005"}, {"ref": "anandabasappa/gettingstartedwithtitanic", "kernel_id": "19038641"}, {"ref": "kakapari/titanic-getting-started", "kernel_id": "19117770"}, {"ref": "faustren/notebook81e2626d1d", "kernel_id": "19386641"}, {"ref": "shitangshumaity/titanic-survival-machine-learning-model", "kernel_id": "19185630"}, {"ref": "irkanhadi/yate-yet-another-titanic-entry", "kernel_id": "19061318"}, {"ref": "sonnetsaif/titanic-survival-pred", "kernel_id": "19285666"}, {"ref": "jaimeeflores/my-titanic-notebook", "kernel_id": "19057811"}, {"ref": "gonzalodelaserna/titanic-challenge-social-tendence-at-extrem-l-d", "kernel_id": "19062201"}, {"ref": "aditya6899/getting-started-with-kaggle", "kernel_id": "19071064"}, {"ref": "mayrip/titanic-101", "kernel_id": "19034928"}, {"ref": "nightfury007/30-days-of-kaggle-day-1-data-analysis", "kernel_id": "19118773"}, {"ref": "siddheshkadam/titanic-ml", "kernel_id": "19109027"}, {"ref": "saifurrahmanshatil/day-1-titanic", "kernel_id": "19103809"}, {"ref": "aimack/complete-guide-to-feature-scaling", "kernel_id": "19084181"}, {"ref": "aimack/how-to-handle-outliers", "kernel_id": "19396560"}, {"ref": "lakshmilavanya/titanic-prediction", "kernel_id": "19040210"}, {"ref": "shrutiagarwal19/notebook6967cc5148", "kernel_id": "19135670"}, {"ref": "kaayaanil/titanic-eda", "kernel_id": "19819507"}, {"ref": "mustafacicek/simple-eda-functions-for-data-analysis", "kernel_id": "19271579"}, {"ref": "brunoalvesdeoliveira/started-with-titanic-azzidata", "kernel_id": "19053533"}, {"ref": "chamweh/day-1-30-heuristic-vs-ml", "kernel_id": "19199322"}, {"ref": "magnusslg/day-1-30-days-of-kaggle", "kernel_id": "19071293"}, {"ref": "viniele/titanic-submission-mosdaniele", "kernel_id": "19844363"}, {"ref": "ivanmarcellino/titanic-trial", "kernel_id": "19054919"}, {"ref": "hebakamel/getting-started-with-titanic-heba-ahmed", "kernel_id": "19180107"}, {"ref": "vyacheslavshen/getting-started-with-titanic", "kernel_id": "19075494"}, {"ref": "guptadikshant/titanic-ml-competition", "kernel_id": "19081421"}, {"ref": "manseeh/getting-started-with-titanic", "kernel_id": "19097887"}, {"ref": "bannourchaker/complete-pipe", "kernel_id": "19127090"}, {"ref": "bardiabaha/logestic-regression-prediction", "kernel_id": "19176800"}, {"ref": "miguelhermar/getting-started-with-titanic", "kernel_id": "19059341"}, {"ref": "artimule/titanic", "kernel_id": "19100718"}, {"ref": "vrajmistry/titantic-comp-nb", "kernel_id": "19042486"}, {"ref": "samkupar/starting-titanic1", "kernel_id": "19078046"}, {"ref": "solafajobi/sh-titanic-analysis", "kernel_id": "19059013"}, {"ref": "hankyulk/30-days-of-ml-day-1", "kernel_id": "19095522"}, {"ref": "ripudamannaidu/titanic", "kernel_id": "19947795"}, {"ref": "asmaaabdelwahab/getting-started-with-titanic", "kernel_id": "19047436"}, {"ref": "travelgear/getting-started-with-titanic-tawee", "kernel_id": "19056779"}, {"ref": "mostafaebrahim/titanic-1", "kernel_id": "19043482"}, {"ref": "umairalam/getting-started-with-titanic", "kernel_id": "19099292"}, {"ref": "bextuychiev/25-pandas-functions-you-didn-t-know-existed", "kernel_id": "19078762"}, {"ref": "bextuychiev/7-coolest-packages-top-kagglers-are-using", "kernel_id": "19265054"}, {"ref": "immaculatechinonso/getting-started-with-titanic", "kernel_id": "19122982"}, {"ref": "nickbaynham/logistic-regression", "kernel_id": "19942845"}, {"ref": "shaluo/30-days-of-ml-day-1", "kernel_id": "19198717"}, {"ref": "fourbitthug/first-titanic-dataset", "kernel_id": "19457185"}, {"ref": "timothytiwow/titanic-tutorial-unklab", "kernel_id": "19870348"}, {"ref": "zainmohammed90/zain-starting-in-ml", "kernel_id": "19088475"}, {"ref": "elkerchulde/titanic-30-days-of-ml", "kernel_id": "19062112"}, {"ref": "angelfoa/getting-started-with-titanic", "kernel_id": "19202856"}, {"ref": "soundaryamiranam/30-days-of-ml-day-1-titanic-disaster", "kernel_id": "19092149"}, {"ref": "mo7amedsaber/get-started-with-titanic-data-30-days-of-ml", "kernel_id": "19080205"}, {"ref": "imparthmistry/30-days-of-kaggle-getting-started-with-titanic", "kernel_id": "19172043"}, {"ref": "whitedragon1107/getting-started-with-titanic", "kernel_id": "19058668"}, {"ref": "mckaka/getting-started-with-titanic-dataset", "kernel_id": "19713730"}, {"ref": "robinlusk2/titanic-survival-predicition-test", "kernel_id": "19323008"}, {"ref": "abbharali/titanicnb", "kernel_id": "19992065"}, {"ref": "paguila/30-days-of-ml-day-1", "kernel_id": "19055520"}, {"ref": "joslucasbrandomontes/primeiracompeticao", "kernel_id": "19299387"}, {"ref": "joslucasbrandomontes/deep-learning-with-keras-on-titanic-data", "kernel_id": "19920241"}, {"ref": "joslucasbrandomontes/gridsearchcv-on-titanic-data", "kernel_id": "19887549"}, {"ref": "soniarani/getting-started-with-titanic", "kernel_id": "19130450"}, {"ref": "khnhtrnvn/30-days-of-ml-day-1-titanic", "kernel_id": "19058184"}, {"ref": "deepakchothe/titanic-data-set", "kernel_id": "19059153"}, {"ref": "blackhurt/eda-multiple-model-hyperparameter", "kernel_id": "19721684"}, {"ref": "blackhurt/model-evaluation-using-gbc", "kernel_id": "19551318"}, {"ref": "blackhurt/complete-analysis-at-begineer-approach", "kernel_id": "19062972"}, {"ref": "blackhurt/to-be-in-top-16-in-13-lines-of-code", "kernel_id": "19926122"}, {"ref": "blackhurt/eda-top-3-using-voting-classifier", "kernel_id": "19966399"}, {"ref": "leonardpleiss/xgboost-for-titanic-78-suggestions-appreciated", "kernel_id": "19050370"}, {"ref": "yugpuroosh/titanic-ann-86-88-acc", "kernel_id": "19573628"}, {"ref": "bhartikindra/titanic-study", "kernel_id": "19107792"}, {"ref": "takumindesu/day1-30-days-of-ml-get-started-with-titanic", "kernel_id": "19064744"}, {"ref": "akshaynarayanbhat/titanic-problem", "kernel_id": "19512751"}, {"ref": "shub99/jack-0-rose-1", "kernel_id": "19039352"}, {"ref": "piouspradhan/getting-started-with-titanic", "kernel_id": "19040381"}, {"ref": "yenruchen/30-days-of-ml-titanic-attempt-2", "kernel_id": "19210482"}, {"ref": "danielrocha6/let-s-get-our-feet-wet", "kernel_id": "19054449"}, {"ref": "towhidultonmoy/titanic-disaster-prediction", "kernel_id": "19104192"}, {"ref": "shiveshchowdary/titanic", "kernel_id": "19446318"}, {"ref": "aliant0/day-1-30-days-of-ml-titanic-case", "kernel_id": "19072537"}, {"ref": "swastikmohanty845/titanic-machine-learning", "kernel_id": "19080239"}, {"ref": "manendra14/titanic-v3-commented-30daysofml", "kernel_id": "19122302"}, {"ref": "deeprodge/notebook7a2d0e36cd", "kernel_id": "19201491"}, {"ref": "yafodin/titanic-challenge", "kernel_id": "19807764"}, {"ref": "mohamadabouelela/30-days-of-ml-titanic-notebook", "kernel_id": "19069685"}, {"ref": "karad1818/all-about-decision-tree-from-scratch", "kernel_id": "19550848"}, {"ref": "moupriyaroy/titanic-eda", "kernel_id": "19787688"}, {"ref": "muhammadakmal46/notebooke1ab7ca4bc", "kernel_id": "19154644"}, {"ref": "priscillabaah/titanic-with-decision-trees", "kernel_id": "19084103"}, {"ref": "keerthipriyaporandla/day-1-of-ml", "kernel_id": "19105609"}, {"ref": "oorjamathur/titanic-tragedy-30-days-of-ml", "kernel_id": "19083897"}, {"ref": "krithick/30-days-of-kaggle-1-titanic", "kernel_id": "19100682"}, {"ref": "avisalmon/classification-with-sklearn-and-tensorflow", "kernel_id": "19652149"}, {"ref": "deepikasenthil/titanic-eda-and-prediction", "kernel_id": "19592829"}, {"ref": "fatemekiaei/getting-started-with-titanic", "kernel_id": "19114238"}, {"ref": "yaminiharikrishnan/getting-started-with-titanic", "kernel_id": "19068553"}, {"ref": "saharulnizamhakimy/day-1-30-of-ml", "kernel_id": "19051340"}, {"ref": "prateeksinghrtk/notebookdee86cbfba", "kernel_id": "19040021"}, {"ref": "mantashadange/30-days-ml-1st-day", "kernel_id": "19108658"}, {"ref": "vikankshgautam/titanic-data", "kernel_id": "19087524"}, {"ref": "adamkozlowski1/getting-started-with-titanic", "kernel_id": "19101233"}, {"ref": "shivijaiswal/30-days-ml-day-1", "kernel_id": "19171990"}, {"ref": "pritampathak96/30-days-of-ml", "kernel_id": "19169564"}, {"ref": "sgedela/notebookec9bce784e", "kernel_id": "19037367"}, {"ref": "jillurrahaman/titanic-tutorial", "kernel_id": "19257720"}, {"ref": "nandinisingh05/titanic-is-here", "kernel_id": "19036420"}, {"ref": "biranchinarayannath/titanic-survival-prediction", "kernel_id": "19545028"}, {"ref": "usmanayaz/kaggle-30-days-ml-challenge-day1-titanic-dataset", "kernel_id": "19097452"}, {"ref": "ralidimitrova/titanic-randomforest-gridsearchcv", "kernel_id": "19965861"}, {"ref": "anshita22/getting-started-with-titanic", "kernel_id": "19084029"}, {"ref": "anshita22/decisiontree", "kernel_id": "19481081"}, {"ref": "preetishasrivastava/titanic-survival-prediction-using-ml", "kernel_id": "19229718"}, {"ref": "hanztantiangco/getting-started-with-titanic-using-random-forest", "kernel_id": "19097216"}, {"ref": "kirtichauhan11/decision-tree-from-scratch", "kernel_id": "19632604"}, {"ref": "babuyashwanth/titanic-survivor-prediction", "kernel_id": "19035165"}, {"ref": "ankitanikumbh/getting-started-with-titanic", "kernel_id": "19078354"}, {"ref": "abdelrahmankhalil/titanic", "kernel_id": "19157309"}, {"ref": "ldleehou/titanic-tutorial", "kernel_id": "19110907"}, {"ref": "suganyan/getting-started-with-titanic", "kernel_id": "19085477"}, {"ref": "soliso/my-titanic-contest-notebook", "kernel_id": "19425075"}, {"ref": "paulbinojoseph/getting-started-with-titanic", "kernel_id": "19086616"}, {"ref": "afiblebo/getting-started-with-titanic", "kernel_id": "19084541"}, {"ref": "paritabrahmbhatt/getting-started-with-titanic", "kernel_id": "19058482"}, {"ref": "ragilhadip/titanic-survivor-prediction-eda", "kernel_id": "19084488"}, {"ref": "ahmedaliomar/titanic-competition", "kernel_id": "19528266"}, {"ref": "tejasboss/my-titanic", "kernel_id": "19150547"}, {"ref": "likithvp/titanic-project", "kernel_id": "19120412"}, {"ref": "mithun162001/getting-started-with-kaggle", "kernel_id": "19347327"}, {"ref": "shivanipopli/getting-started-with-titanic", "kernel_id": "19616320"}, {"ref": "giseonkang/titanic-gridsearchcv-xgboost", "kernel_id": "19798218"}, {"ref": "aimenjaved1/titanic-survival", "kernel_id": "19047272"}, {"ref": "aimenjaved1/titanic-survival-logictic-regression", "kernel_id": "19044356"}, {"ref": "satyabrataroy/titanic-eda-survival-prediction-30days-ml", "kernel_id": "19202947"}, {"ref": "danielhugomanrique/titanic-30-days-of-ml-first-submission", "kernel_id": "19097101"}, {"ref": "muhammadannasimtiaz/titanic-survival-new", "kernel_id": "19061010"}, {"ref": "vishaltayade/getting-started-with-kaggle-titanic", "kernel_id": "19095735"}, {"ref": "yashashwinidixit/getting-started-with-titanic", "kernel_id": "19102611"}, {"ref": "debajyoti1/getting-started-with-titanic", "kernel_id": "19069980"}, {"ref": "poeteller/getting-started-with-titanic", "kernel_id": "19038214"}, {"ref": "andrferrarimoukarzel/titanic-beginner-eda-model-tuning", "kernel_id": "19800367"}, {"ref": "desalegngeb/a-short-tutorial-in-r-easy-start", "kernel_id": "19310645"}, {"ref": "ishikajohari/titanic-do-ticket-prefixes-matter", "kernel_id": "19257555"}, {"ref": "ishikajohari/titanic-77-9-accuracy", "kernel_id": "19257314"}, {"ref": "devanjanmishra/getting-started-with-titanic", "kernel_id": "19102172"}, {"ref": "aaronds/titanic-eda-prediction-top10-beginner-friendly", "kernel_id": "19084206"}, {"ref": "arcticai/arcticdata-library-1-4", "kernel_id": "19482367"}, {"ref": "ainsliered/getting-started-with-titanic", "kernel_id": "19239849"}, {"ref": "tianyingjiang/getting-started-with-titanic", "kernel_id": "19055923"}, {"ref": "santhiyar/day-1-task", "kernel_id": "19085473"}, {"ref": "devchoganwala/titanic-dataset-78-7-accuracy", "kernel_id": "19518120"}, {"ref": "nadineelbeshouty/getting-started-with-titanic", "kernel_id": "19417144"}, {"ref": "jackmarsch/titanic-passenger-predictor-2", "kernel_id": "19274304"}, {"ref": "sirleneandreis/titanic-notebook", "kernel_id": "19040128"}, {"ref": "nandha13/titanic-dataset-eda-and-data-analysis", "kernel_id": "19065541"}, {"ref": "kirankumarr007/titanic-ml-prediction", "kernel_id": "19942878"}, {"ref": "nurulaminrobin/titanic1", "kernel_id": "19658369"}, {"ref": "paramsiddharth/getting-started-with-titanic", "kernel_id": "19138151"}, {"ref": "arkanivasarkar/titanic-survival-analysis-10-algorithms-compared", "kernel_id": "19082186"}, {"ref": "ahmedfouad77/eda-decision-tree-and-random-forest", "kernel_id": "19528569"}, {"ref": "petergirgis/getting-started-with-titanic", "kernel_id": "19044452"}, {"ref": "sangeeth29/getting-started-with-titanic", "kernel_id": "19238290"}, {"ref": "kazukiyumiba/30days-of-ml", "kernel_id": "19146910"}, {"ref": "bohdanzaika/getting-started-with-titanic-day-1-30-days-of-ml", "kernel_id": "19102088"}, {"ref": "yekahaaagayeham/titanic-beginner-s-guide", "kernel_id": "19831781"}, {"ref": "vuvanphuoc/getting-started-titanic-tutorial-pywind", "kernel_id": "19072923"}, {"ref": "anniejain10/getting-started-with-titanic", "kernel_id": "19113905"}, {"ref": "kishoremorol/getting-started-with-titanic-dataset", "kernel_id": "19108714"}, {"ref": "jeonghojae/getting-started-with-titanic", "kernel_id": "19055559"}, {"ref": "faizkh/titanic-submission", "kernel_id": "19233459"}, {"ref": "selvadharani/day-1", "kernel_id": "19084160"}, {"ref": "leonardogiorgi/titanic-competition-notebook-python", "kernel_id": "19595463"}, {"ref": "stanleycheng/titanic-training", "kernel_id": "19056868"}, {"ref": "joyb05/30-days-of-ml-day-1", "kernel_id": "19083289"}, {"ref": "rohangurubhaiye/logistic-regression-on-titanic-data", "kernel_id": "19405734"}, {"ref": "tiyasadey/notebook12a1bc7722", "kernel_id": "19254026"}, {"ref": "ameyashukla1999/getting-started-with-titanic", "kernel_id": "19038250"}, {"ref": "harrythu25/titanic-dataset", "kernel_id": "19281080"}, {"ref": "yawnmafew/data-analysis-titanic-data-python", "kernel_id": "19414444"}, {"ref": "reemhussainmohammed/eda-for-titanic-data", "kernel_id": "19250888"}, {"ref": "yashrmaverick/notebook82974fb0b1", "kernel_id": "19166459"}, {"ref": "kanduruganapathi/day-1-30days-ml", "kernel_id": "19088251"}, {"ref": "naheemadebisi/titanic-first-submission", "kernel_id": "19060965"}, {"ref": "ilyamilovankin/first-tiny-pace-to-ml-universe-titanic-notebook", "kernel_id": "19116513"}, {"ref": "cli620/titanic", "kernel_id": "19990315"}, {"ref": "riadulislamrabbi/titanic-notebook-first-30-ml-challenge", "kernel_id": "19080285"}, {"ref": "raveendrasharma/titanic-survival-prediction", "kernel_id": "19075454"}, {"ref": "sajaysunny/getting-started-with-titanicc", "kernel_id": "19102245"}, {"ref": "gchana/top-1-solution-with-detailed-data-analysis", "kernel_id": "19181001"}, {"ref": "singedkim/titanic-practice", "kernel_id": "19810103"}, {"ref": "nobodysboredom/trial-7", "kernel_id": "19214023"}, {"ref": "mohamedbastawi/titanic-decision-tree", "kernel_id": "19049823"}, {"ref": "iamharsh1312/day-1-of-kaggle-ml-challenge", "kernel_id": "19096669"}, {"ref": "anamariamidoripreda/titanic-tutorial", "kernel_id": "19169349"}, {"ref": "peterpotros/notebook61373d9d45", "kernel_id": "19046713"}, {"ref": "riyamathurb1/titanicsurvivors", "kernel_id": "19158571"}, {"ref": "arezoodahesh/titanic-with-ensemble-algorithms", "kernel_id": "19037288"}, {"ref": "priyanshi0799/getting-started-with-titanic", "kernel_id": "19097999"}, {"ref": "cyberkonn/titanic-30-days-of-ml", "kernel_id": "19150671"}, {"ref": "mbatuhantur/titanic-disaster", "kernel_id": "19458778"}, {"ref": "krishnamuraripal/titanic-passenger-survival-predication", "kernel_id": "19107953"}, {"ref": "aniltyagi/notebook-anil", "kernel_id": "19081526"}, {"ref": "thesohanur/started-with-titanic-30d-ml", "kernel_id": "19195550"}, {"ref": "fabiankainz/titanic-survival", "kernel_id": "19801216"}, {"ref": "ketanmahalley/titanic-starter-model-acc-82", "kernel_id": "19530749"}, {"ref": "thomasbudiarjo/notebookc58f992d8b", "kernel_id": "19987211"}, {"ref": "ritusantra/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19067140"}, {"ref": "sitaraaghayeva/titanic-survived-prediction-by-sitara-aghayeva", "kernel_id": "19320409"}, {"ref": "durgesanjeev/titanic-analysis", "kernel_id": "19111189"}, {"ref": "monika171/the-titanic-survival-leaderboard-top-5", "kernel_id": "19109978"}, {"ref": "yash024/getting-started-with-titanic", "kernel_id": "19062996"}, {"ref": "mariorodrigues1908/titanic-eda-data-cleaning-for-newcomers", "kernel_id": "19050647"}, {"ref": "medsabkhi/notebook8bbccb550e", "kernel_id": "19269254"}, {"ref": "habib16051/titanic-boo", "kernel_id": "19108171"}, {"ref": "antonmikhalev/groupby-lama-new-features-3", "kernel_id": "19903839"}, {"ref": "antonmikhalev/lightautoml-santander-customer-satisfaction-2", "kernel_id": "19863853"}, {"ref": "katelynnewman/getting-started-with-titanic-predictions", "kernel_id": "19114008"}, {"ref": "isyedsalmanali/analysing-titanic-survival", "kernel_id": "19766961"}, {"ref": "linyuliang/titanic-lenny", "kernel_id": "19143747"}, {"ref": "nathaliasutto/getting-started-with-titanic", "kernel_id": "19047114"}, {"ref": "mahmoudhassanmahmoud/second-getting-started-with-titanic", "kernel_id": "19049035"}, {"ref": "thbalaji/day-1-2", "kernel_id": "19089878"}, {"ref": "mohammadrezashadi/titanic-tutorial", "kernel_id": "19314173"}, {"ref": "nandha0150/titanic-passengers-survival-prediction-based-on-ml", "kernel_id": "19074930"}, {"ref": "chiragbmiskin/titanic-survival", "kernel_id": "19062163"}, {"ref": "asimple/top-10-basic-ml-pipelin-titanic", "kernel_id": "19501867"}, {"ref": "shairanarido/getting-started-with-titanic", "kernel_id": "19114989"}, {"ref": "yingruliu/20210803-titanic", "kernel_id": "19054256"}, {"ref": "victorpan9999/simple-step-to-improve-the-prediction", "kernel_id": "19133491"}, {"ref": "nandakumargurung/titanic-challenge", "kernel_id": "19865606"}, {"ref": "marialop/titanic", "kernel_id": "19068619"}, {"ref": "parthdhulla/getting-started-with-titanic", "kernel_id": "19154077"}, {"ref": "ahmedhagras/30-days-of-ml-day1", "kernel_id": "19101518"}, {"ref": "kashishkatara/getting-started", "kernel_id": "19155108"}, {"ref": "kashishkatara/getting-started-with-titanic", "kernel_id": "19037532"}, {"ref": "iqrabaluch/30-days-of-ml-day1", "kernel_id": "19606639"}, {"ref": "lividsu/data-analysis-of-datawhale", "kernel_id": "19732779"}, {"ref": "arnabbaul/titanic-survival-using-ann", "kernel_id": "19041014"}, {"ref": "thuranaing411/start-with-titanic", "kernel_id": "19494623"}, {"ref": "harshhzz/titanic-baseline-mode", "kernel_id": "19093825"}, {"ref": "sagarv13/getting-started-with-titanic-sagarv", "kernel_id": "19158357"}, {"ref": "jjj8989/getting-started-with-titanic", "kernel_id": "19055724"}, {"ref": "mecha027ankitsingh/titanicanalysis", "kernel_id": "19689186"}, {"ref": "jaimesz11/titanic-with-deep-learning", "kernel_id": "19619959"}, {"ref": "ysthehurricane/titanic-passenger-survived-na-ve-bayes-algorithm", "kernel_id": "19684760"}, {"ref": "ishanbakshi/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19144742"}, {"ref": "elshangadimov/introduction-with-titanic", "kernel_id": "19687499"}, {"ref": "ummefarhana7246/titanic-notebook", "kernel_id": "19666213"}, {"ref": "pranjaygupta/getting-started-with-titanic", "kernel_id": "19043421"}, {"ref": "pawankumar97/titanic-survival-30-days-ml", "kernel_id": "19075400"}, {"ref": "landeriturregi/titanic-survived-passengers-ml", "kernel_id": "19557065"}, {"ref": "moulikokkila/gettin-started-with-titanic", "kernel_id": "19067063"}, {"ref": "shlesha/titanic-day1", "kernel_id": "19077816"}, {"ref": "phamtheds/getting-started-with-titanic", "kernel_id": "19340358"}, {"ref": "rauffatali/titanic-survival-prediction", "kernel_id": "19079330"}, {"ref": "gudisesaichand/titanic-survival-eda-and-prediction", "kernel_id": "19596731"}, {"ref": "vibhunohria/first-competition", "kernel_id": "19107391"}, {"ref": "alvinb/my-first-submission", "kernel_id": "19033576"}, {"ref": "rashi31/starting-w-titanic", "kernel_id": "19104328"}, {"ref": "mikaildogruer/titanic-ml-eda", "kernel_id": "19071625"}, {"ref": "ericblanco/notebookbc6fe92a84", "kernel_id": "19761628"}, {"ref": "ericblanco/titanic-tutorial", "kernel_id": "19626072"}, {"ref": "hsuchialun/titanic-tutorial", "kernel_id": "19066261"}, {"ref": "drnitinmalik/classification-titanic", "kernel_id": "19089407"}, {"ref": "ahmedbasem/titanic-notebook", "kernel_id": "19085583"}, {"ref": "cc1114/getting-started-with-titanic", "kernel_id": "19065029"}, {"ref": "akshayr009/titanic-prediction-2", "kernel_id": "19009109"}, {"ref": "salama4ai/titanic-top-700-salama4ai", "kernel_id": "19041444"}, {"ref": "aikanshivaish/titanic-eda-and-survival-prediction", "kernel_id": "19359883"}, {"ref": "yk7283/titanic-competition", "kernel_id": "19034891"}, {"ref": "mrnsk8012/titanic-dataset", "kernel_id": "19095861"}, {"ref": "parveen1812/assignment-1-30-days-of-ml", "kernel_id": "19061843"}, {"ref": "milangabriel/ml-titanic", "kernel_id": "19638418"}, {"ref": "mohamedayman97/my-submission", "kernel_id": "19579724"}, {"ref": "shwetanshusood/shwetanshu-titanic", "kernel_id": "19090273"}, {"ref": "rawangamaleldin/getting-started-with-titanic", "kernel_id": "19053913"}, {"ref": "zakariabentaleb/titanic-death-prediction", "kernel_id": "19217125"}, {"ref": "ahmadabdelhafeez/titanic", "kernel_id": "19201176"}, {"ref": "chanoncharuchinda/getting-started-with-titanic-data", "kernel_id": "19054525"}, {"ref": "rupsha/getting-started-with-titanic", "kernel_id": "19064226"}, {"ref": "zubair00/getting-started-with-30days-of-ml-day-1", "kernel_id": "19112785"}, {"ref": "zubair00/30-days-of-kaggle-day-1", "kernel_id": "19110243"}, {"ref": "meykevandenbos/titanicnotebooktry", "kernel_id": "19237941"}, {"ref": "nikhilgond/getting-started-with-titanic-data", "kernel_id": "19101555"}, {"ref": "nwcnepaliwrestling/titanic-data-modelling", "kernel_id": "19212300"}, {"ref": "utkaarshbhaskarwar/titanic-1", "kernel_id": "19035703"}, {"ref": "karansharma18/first-kaggle-noteboook", "kernel_id": "19824225"}, {"ref": "yaragaber/task2", "kernel_id": "19919121"}, {"ref": "reddy9819/tuned-titanic-model", "kernel_id": "19072484"}, {"ref": "ranamahrous/getting-started-with-titanic", "kernel_id": "19242361"}, {"ref": "ranamahrous/titanic-getting-started", "kernel_id": "19050294"}, {"ref": "mcgo2021/getting-started-titanic-survivor-prediction-mode", "kernel_id": "19081890"}, {"ref": "mithileshtiwari/notebook4fcd0bd516", "kernel_id": "19058589"}, {"ref": "pradyumnapradhan/notebook-1", "kernel_id": "19553486"}, {"ref": "sandipthapa1/notebook58bb564dc4", "kernel_id": "19251468"}, {"ref": "aymanhassan121/titanc-using-svc", "kernel_id": "19019005"}, {"ref": "shubhamkumar98/getting-started-with-titanic", "kernel_id": "19077829"}, {"ref": "vinaygautam85/getting-started-with-titanic", "kernel_id": "19038345"}, {"ref": "karlaguimaraes/titanic-30-days-of-ml-titanic", "kernel_id": "19183619"}, {"ref": "subeshasasmal/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19109639"}, {"ref": "tusarthbihani/titanic-data-cleaning", "kernel_id": "19063630"}, {"ref": "ratneshbhosale/my-solution-to-titanic", "kernel_id": "19034924"}, {"ref": "anirbansahaanik/getting-started-with-titanic-dataset", "kernel_id": "19181021"}, {"ref": "paoperalta/titanic", "kernel_id": "19403034"}, {"ref": "masabumair023/titanic-dataset-30-days-of-ml-day-1", "kernel_id": "19082252"}, {"ref": "dhruvlohani/dhruv-gettingstartedwithtitanic", "kernel_id": "19063725"}, {"ref": "mahnoorrana/notebooka96321aa13", "kernel_id": "19828728"}, {"ref": "souravdasme/30-days-of-ml-day-1", "kernel_id": "19076114"}, {"ref": "yannicsuurmeijer/titanic-30-days-of-ml-extended", "kernel_id": "19091524"}, {"ref": "epitectusagamemnon/titanic-task", "kernel_id": "19333681"}, {"ref": "khawlajlassi/getting-started-with-titanic", "kernel_id": "19747447"}, {"ref": "sandipannag/titanic-multi-mlmodel-prediction", "kernel_id": "19099187"}, {"ref": "zahrahgu/titanic-surviors-with-mlp-with-80-accuracy", "kernel_id": "19350102"}, {"ref": "skyecai/getting-started-with-titanic", "kernel_id": "19093044"}, {"ref": "nabeelraza/titanic-submission", "kernel_id": "19920767"}, {"ref": "abdulibraheem/getting-started-with-titanic", "kernel_id": "19247054"}, {"ref": "lonemohsin/getting-started-titanic", "kernel_id": "19083332"}, {"ref": "sandheshrao/titanic-notebook", "kernel_id": "19881984"}, {"ref": "jenilsavani/ann-with-84-accuracy-titanic", "kernel_id": "19454690"}, {"ref": "oladiranzion/getting-started-with-titanic-dataset", "kernel_id": "19036340"}, {"ref": "khansaafifah/getting-started-with-titanic", "kernel_id": "19083627"}, {"ref": "trinetrajayakumar/titanic", "kernel_id": "19066911"}, {"ref": "zhenghaiming/notebook1b3267e192", "kernel_id": "19494406"}, {"ref": "metwallusion/titanic-eda-logistic-regression-only-93", "kernel_id": "19813056"}, {"ref": "deviunni/getting-started-with-titanic", "kernel_id": "19098709"}, {"ref": "mshreyaskumarsharma/getting-started-with-titanic-disaster", "kernel_id": "19093745"}, {"ref": "dshassan/geting-started-with-titanic", "kernel_id": "19038653"}, {"ref": "rushij4546/day1-30", "kernel_id": "19063445"}, {"ref": "romansling/notebookaf7e4b99d0", "kernel_id": "19345595"}, {"ref": "jhongtingjhou/30days-of-ml-d001-titanic", "kernel_id": "19174346"}, {"ref": "arwenyang/titanic-eda-02-14-2022", "kernel_id": "19085927"}, {"ref": "farelarden/titanic-machine-learning-from-disaster", "kernel_id": "19082411"}, {"ref": "joeanton/titanic-advanced-feature-engineering", "kernel_id": "19361652"}, {"ref": "zhchia/getting-started-with-titanic", "kernel_id": "19231191"}, {"ref": "bp2000/kaggle-30-days-of-ml", "kernel_id": "19281552"}, {"ref": "arminar/titanic-survive-prediction", "kernel_id": "19201824"}, {"ref": "shefalishettyy/pre-processing", "kernel_id": "19896827"}, {"ref": "heyrobin/titanic-survival-with-optuna", "kernel_id": "19177724"}, {"ref": "vanesaflores/machine-learning-from-disaster-titanic-spanish", "kernel_id": "19469060"}, {"ref": "jithinjith/30-days-ml", "kernel_id": "19321203"}, {"ref": "chykimtong/getting-started-with-titanic", "kernel_id": "19085773"}, {"ref": "alehandro35/top-4-using-rfc-and-gridsearchcv", "kernel_id": "19609227"}, {"ref": "rakeshrane/titanic-prediction", "kernel_id": "19063102"}, {"ref": "marikosawada/eda-logistic-regression-on-titanic-data", "kernel_id": "19845377"}, {"ref": "maheshbhogade/titanic-passenger-s-life-predictions", "kernel_id": "19151712"}, {"ref": "riteshprasadsingh/titanic-30-days-of-kaggle-day-1", "kernel_id": "19089019"}, {"ref": "lankabhedi/getting-started-with-titanic", "kernel_id": "19066943"}, {"ref": "musfiqdehan/day1-30-titanic", "kernel_id": "19072296"}, {"ref": "essiahouaoui/titanic-notebook-kaggle", "kernel_id": "19104948"}, {"ref": "anuragsingh15/notebook2c61762744", "kernel_id": "19050488"}, {"ref": "prakharshukla93/titanic-competition", "kernel_id": "19118593"}, {"ref": "stefanzivanov/titanic-submission", "kernel_id": "19043476"}, {"ref": "aradiajoanne/getting-started-with-titanic-day-1", "kernel_id": "19050899"}, {"ref": "sontayas/compet-titanic-decisiontree", "kernel_id": "19554484"}, {"ref": "nehal1920/getting-started-with-titanic", "kernel_id": "19038685"}, {"ref": "tiagonsbarros/notebook-1-titanic-sample", "kernel_id": "19045837"}, {"ref": "abhinandansamal/titanic-1stsubmission-ml", "kernel_id": "19087568"}, {"ref": "abedinitohid/titanic", "kernel_id": "19193508"}, {"ref": "yeohqiwei/titanic", "kernel_id": "19097152"}, {"ref": "tankaiyi0220/titanic-prediction-randomforestclassifier-and-ann", "kernel_id": "19604659"}, {"ref": "andreavsquezlpez/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19176623"}, {"ref": "jyotichoudhary5996/titanic-survival-prediction", "kernel_id": "19083104"}, {"ref": "kawishdaniyal/30days-ml", "kernel_id": "19077193"}, {"ref": "sanjayviswa/titanic-dataset-predictions", "kernel_id": "19089154"}, {"ref": "ilyamass/titanic-0-77-top-8", "kernel_id": "19742422"}, {"ref": "hryesf/titanicml", "kernel_id": "19329113"}, {"ref": "mahaabdalla/titanic", "kernel_id": "19122324"}, {"ref": "rohandhanrajyadav/getting-started-with-titanic", "kernel_id": "19059144"}, {"ref": "minglu2021/love-story-top3", "kernel_id": "19799474"}, {"ref": "karan842/titanic-dataset", "kernel_id": "19937382"}, {"ref": "bartauls/titanic-ml-kaggle", "kernel_id": "19115554"}, {"ref": "kartikbhatnagar18/1-titanic-machine-learning-from-disaster", "kernel_id": "19069431"}, {"ref": "sunandabiswas24/survival-prediction-on-titanic-dataset", "kernel_id": "19934040"}, {"ref": "murillobatista/thatshipmovie", "kernel_id": "19245993"}, {"ref": "thngdngnh/1-30-titanic-survivals", "kernel_id": "19069343"}, {"ref": "tubasiddiqui/getting-started-with-titanic", "kernel_id": "19283062"}, {"ref": "sashikalamalalingam/titanic-survival-sm", "kernel_id": "19203780"}, {"ref": "monishamahendiran/titanic-dataset", "kernel_id": "19569279"}, {"ref": "asadithiyaa/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19081046"}, {"ref": "mercyakowe/akowe-mercy-titanic-competition", "kernel_id": "19300042"}, {"ref": "riybot/titanic-mrriybot", "kernel_id": "19358113"}, {"ref": "katepod/titanicalgocomparison", "kernel_id": "19472612"}, {"ref": "ganesh721/getting-started-with-titanic", "kernel_id": "19068693"}, {"ref": "tanvikurade/complete-analysis-of-titanic", "kernel_id": "19070708"}, {"ref": "knightbearr/titanic-tutorial-knightbearr", "kernel_id": "19068952"}, {"ref": "sohambera/getting-started-with-titanic-day-1-30-days-of-ml", "kernel_id": "19088747"}, {"ref": "yusufsercantnk/titanic-eda", "kernel_id": "19511770"}, {"ref": "berkayemre/getting-started-titanic-random-forest", "kernel_id": "19190246"}, {"ref": "gouravrohra/titanic-tutorial", "kernel_id": "19066236"}, {"ref": "amnaalishaheen/getting-start-with-titanic", "kernel_id": "19082448"}, {"ref": "muhammadumarbilal/getting-started-30-days-ml-titanic-assignment", "kernel_id": "19088312"}, {"ref": "nirajmohabey/day-1-30-days-of-kaggle", "kernel_id": "19062189"}, {"ref": "piyalbanik/eda-visualization-prediction-titanic", "kernel_id": "19472279"}, {"ref": "tuhinkumardutta/titanic-survivor-cv-accuracy-score-83", "kernel_id": "19656263"}, {"ref": "ankita2002/titanic-survivours", "kernel_id": "19201802"}, {"ref": "ishikakesarwani/titanic-problem-with-logistic-regression", "kernel_id": "19039290"}, {"ref": "ishikakesarwani/kaggle-bonus-titanic-tutorial", "kernel_id": "19410563"}, {"ref": "konstantinkonov/titanic-eda-and-feature-engineering", "kernel_id": "19905881"}, {"ref": "emanueleimmesi/sincerly-i-would-have-bet-on-di-caprio", "kernel_id": "19088756"}, {"ref": "agungw/titanic-using-tensorflow", "kernel_id": "19058483"}, {"ref": "antarachatterji/getting-started-with-titanic-dataset", "kernel_id": "19142352"}, {"ref": "ebrarkarademir/titanic-survival-prediction-with-xgboost", "kernel_id": "19016582"}, {"ref": "surayasumona/titanic-survival-prediction-30-days-of-ml", "kernel_id": "19186371"}, {"ref": "neoksei/titanic-with-xgboost-and-random-forest", "kernel_id": "19757006"}, {"ref": "amaalhov/getting-started-with-titanic", "kernel_id": "19358864"}, {"ref": "sahartj/titanic-eda", "kernel_id": "19269437"}, {"ref": "mohamedamineaffes123/titanic", "kernel_id": "19293906"}, {"ref": "saurabhjejurkar/day-1-30-days-of-ml", "kernel_id": "19069871"}, {"ref": "join2aj/titanic-machine-learning-from-disaster", "kernel_id": "19156234"}, {"ref": "victorsullivan/titanic-the-only-notebook-you-need-to-see", "kernel_id": "19876819"}, {"ref": "drishti228/getting-started-with-titanic", "kernel_id": "19036452"}, {"ref": "terencewhalen/titanic-tutorial", "kernel_id": "19050687"}, {"ref": "salmankhi/titanic-problem-solution-using-logistic-regression", "kernel_id": "19559724"}, {"ref": "sethmackie/titanic-beginner-competition", "kernel_id": "19941987"}, {"ref": "e34444/titanic-tutorial", "kernel_id": "19055056"}, {"ref": "e34444/getting-started-with-titanic", "kernel_id": "19065152"}, {"ref": "ko033333333/submit-test-titanic", "kernel_id": "19054730"}, {"ref": "ayaelshazly/getting-started-with-titanic", "kernel_id": "19043519"}, {"ref": "osamaabdelmohsen/titanic-disaster", "kernel_id": "19077282"}, {"ref": "fernandolajus/titanic-ml", "kernel_id": "19109911"}, {"ref": "achalrajeshmate/notebook759achal-mate", "kernel_id": "19938220"}, {"ref": "mortrest/titanic-comprehensive-notebook-eda-ml", "kernel_id": "19172856"}, {"ref": "fahim03/titanic-notebook", "kernel_id": "19053716"}, {"ref": "sergeykhutornoy/titanic-random-forest", "kernel_id": "19283854"}, {"ref": "rakhi181352416/titanic-data", "kernel_id": "19073695"}, {"ref": "r20mcb1016/titanic-vit", "kernel_id": "19456920"}, {"ref": "asmaaibrahim123/notebook24d4d0e01a", "kernel_id": "19049661"}, {"ref": "pilkaggle/the-rise-and-fall-of-the-titans", "kernel_id": "19087737"}, {"ref": "djaferbenchadi/titanic-first-ml-model", "kernel_id": "19050835"}, {"ref": "juanpasutti/getting-started-titanic-disaster", "kernel_id": "19431340"}, {"ref": "pranjal6192/notebookabea5b67b8", "kernel_id": "19263705"}, {"ref": "hemachandirant/titanic-beginner-friendly", "kernel_id": "19975428"}, {"ref": "divipareek/notebookebbf63528e", "kernel_id": "19061407"}, {"ref": "sanaboucheta/titanicchallenge", "kernel_id": "19044680"}, {"ref": "julianmoncet/my-titanic-submission", "kernel_id": "19854958"}, {"ref": "aibuzz/pipeline-for-titanic", "kernel_id": "19444335"}, {"ref": "aibuzz/how-to-handle-outliers-in-machine-learning-and-dl", "kernel_id": "19444608"}, {"ref": "satabdipatradata/getting-started-with-titanic", "kernel_id": "19088581"}, {"ref": "cvengr/titanic-ensemble-model-top-7-4-mins-runtime", "kernel_id": "19307932"}, {"ref": "jillanisofttech/titanic-tutorial", "kernel_id": "19034661"}, {"ref": "tulseebisen/titanic-survival-prediction-for-beginners", "kernel_id": "19357036"}, {"ref": "zainabkapasi/titanic-classifier", "kernel_id": "19034850"}, {"ref": "satoshiss/titanic-binary-classification", "kernel_id": "19095324"}, {"ref": "amiyasur/titanic-predictor-model-learn-ml-from-scratch", "kernel_id": "19114423"}, {"ref": "utkarsh1912/titanic-analysis", "kernel_id": "19058179"}, {"ref": "davidastrel/titanic-tutorial-6a20c1", "kernel_id": "19333102"}, {"ref": "hafidzjnp/day-1-challange-titanic-tutorial", "kernel_id": "19100254"}, {"ref": "gustavolatorresilva/titanic-test", "kernel_id": "19042249"}, {"ref": "prabathjayawardhana/titanic-competition", "kernel_id": "19131804"}, {"ref": "amiraabdallahi/titanic-dataset-investigation", "kernel_id": "19088684"}, {"ref": "kevinalkindy/titanic-survived-or-not", "kernel_id": "19073628"}, {"ref": "hoangphamviet/eda-titanic-prediction", "kernel_id": "19014519"}, {"ref": "gbemikeolowe/using-logistic-regression-ton-titanic-dataset", "kernel_id": "19046103"}, {"ref": "pavelsssmal/titanic-predict-survived-or-not", "kernel_id": "19232658"}, {"ref": "pavelsssmal/prediction-of-age-and-survival", "kernel_id": "19931926"}, {"ref": "brunofacco/getting-started-with-titanic", "kernel_id": "19386991"}, {"ref": "samarthsurlekar/titanic-predictions", "kernel_id": "19115260"}, {"ref": "k589k589/titanic-top3-mandarin", "kernel_id": "19056105"}, {"ref": "berouriaazulay/learning-titanic", "kernel_id": "19446021"}, {"ref": "edwinlaboy/notebook67377d021b", "kernel_id": "19185539"}, {"ref": "mohamedgalaleldin/getting-started-with-titanic", "kernel_id": "19078367"}, {"ref": "kaavyamahajan/titanic-competition", "kernel_id": "19861391"}, {"ref": "ravichauhan7/first-titanic-1", "kernel_id": "19111662"}, {"ref": "datasetinsight/mohammad-mehraban-chakosari-0001", "kernel_id": "19359249"}, {"ref": "niranyadav/notebook2167cdd291", "kernel_id": "19356733"}, {"ref": "aarush2410/getting-started-with-titanic", "kernel_id": "19057899"}, {"ref": "shaunyoon/titanic-disaster-machine-learning-project", "kernel_id": "19839873"}, {"ref": "elizabethtanys/getting-started-with-titanic", "kernel_id": "19131563"}, {"ref": "toqatawfiq/getting-started-with-titanic", "kernel_id": "19569042"}, {"ref": "ammishtandon/titanic-getting-started", "kernel_id": "19060664"}, {"ref": "ngfkf1vv5ot6/titanicname", "kernel_id": "19921929"}, {"ref": "giovaniflorek/trabalho-sobre-o-titanic-p-p-t-picos-avan-ados", "kernel_id": "19488718"}, {"ref": "conucp3/titanicml-notebook", "kernel_id": "19053906"}, {"ref": "brandonbenton/titanic-machine-learning-from-disaster", "kernel_id": "19330212"}, {"ref": "rohitcode123/titanic-survived-prediction", "kernel_id": "19080731"}, {"ref": "firaterdemdogan/titanic-data-analysis", "kernel_id": "19748160"}, {"ref": "kevinxx/notebookd6273c2c4e", "kernel_id": "19198284"}, {"ref": "nguynthuphng/getting-started-with-titanic-competition", "kernel_id": "19171483"}, {"ref": "saychat/titanic-challenge-sayanchatterjee", "kernel_id": "19974953"}, {"ref": "akshaygane9/notebook064f030f6a", "kernel_id": "19163989"}, {"ref": "rehananoorani/titanic-machine-learning-from-disaster", "kernel_id": "19991432"}, {"ref": "redoneee/notebook7c908332f9", "kernel_id": "19047222"}, {"ref": "yogeshwaranma/titanic-data", "kernel_id": "19391877"}, {"ref": "ritikathakur17jan/titanic-survival-prediction", "kernel_id": "19138982"}, {"ref": "dorianvoydie/eda-modelling-titanic-85-acc", "kernel_id": "19749699"}, {"ref": "arung22/arun-day1-30-days-of-ml", "kernel_id": "19131090"}, {"ref": "musasuhail/titanic-survival-prediction", "kernel_id": "19106322"}, {"ref": "davidclavijosuarez/getting-started-with-titanic-dcs", "kernel_id": "19038258"}, {"ref": "rayaneaggoune/rayanetitanic", "kernel_id": "19055449"}, {"ref": "yuvashreerchan/getting-started-with-titanic", "kernel_id": "19885583"}, {"ref": "jobinnelson/notebookce83b4bbc6", "kernel_id": "19090305"}, {"ref": "hareeshnayak/titanic-survivors", "kernel_id": "19682101"}, {"ref": "ahmedhaytham/titanic-try0-top-2", "kernel_id": "19853835"}, {"ref": "melihgm11/titanic-eda", "kernel_id": "19413527"}, {"ref": "rodrigouve/30-days-chllng-mchn-lrnng", "kernel_id": "19084451"}, {"ref": "mohamedhesham02/titanic", "kernel_id": "19077885"}, {"ref": "gracjans/my-first-titanic-notebook", "kernel_id": "19854399"}, {"ref": "sagardas12/notebookc59fb3d141", "kernel_id": "19210538"}, {"ref": "jmjonson/getting-started-with-titanic", "kernel_id": "19127217"}, {"ref": "rafifarraskusuma/30-days-ml-challenge-day-1", "kernel_id": "19138662"}, {"ref": "kuivik/titanic-survivals", "kernel_id": "19099016"}, {"ref": "sandipkumardutta/titanic-disaster-analysis-and-model", "kernel_id": "19425061"}, {"ref": "navidalazim/titanic-dataset", "kernel_id": "19269602"}, {"ref": "kennethfarward/getting-started-with-titanic", "kernel_id": "19119542"}, {"ref": "kethareee/titanic-data-set-code", "kernel_id": "19100126"}, {"ref": "ashvadharshini/titanic-notebook", "kernel_id": "19206849"}, {"ref": "andredrodrigues/eda-optuna-tuning", "kernel_id": "19943463"}, {"ref": "knlkishore/getting-started-with-titanic-day-1", "kernel_id": "19087400"}, {"ref": "manavsarkar/titanic-disaster-manav-sarkar", "kernel_id": "19012464"}, {"ref": "faisalkaifee3/decision-tree-classifier-titanic-survival", "kernel_id": "19314839"}, {"ref": "mohammadmarkojibrini/first-kaggle-notebook-titanic", "kernel_id": "19115482"}, {"ref": "sourisaboule/first-submission-with-custom-preprocessing", "kernel_id": "19288795"}, {"ref": "sondosomar/titanic-random-forest", "kernel_id": "19524758"}, {"ref": "ahmedceifelnasr/getting-started-with-titanic", "kernel_id": "19045400"}, {"ref": "sanyukta18/getting-started-with-titanic", "kernel_id": "19064654"}, {"ref": "gizembektas/30-days-of-ml-day-1", "kernel_id": "19077592"}, {"ref": "abidmohamednadhir/advanced-titanic-dataset-analysis-is-rich-safe", "kernel_id": "19081309"}, {"ref": "kasturibasu/notebooka37f7ca27b", "kernel_id": "19222919"}, {"ref": "eminserkanerdonmez/titanic", "kernel_id": "19118610"}, {"ref": "boywashington/notebook5e871c27f0", "kernel_id": "19156716"}, {"ref": "christoforum/titanic-survival-complete-ml-5-models", "kernel_id": "19917004"}, {"ref": "norptms/kaggle-30-days-of-ml", "kernel_id": "19066443"}, {"ref": "mithunmajumdar/titanic-tutorial", "kernel_id": "19044008"}, {"ref": "nirmalvignu/titanic-machine-learning-from-disaster", "kernel_id": "19064025"}, {"ref": "hanbando/titanic", "kernel_id": "19094287"}, {"ref": "raushan9jnv/getting-started-with-titanic", "kernel_id": "19253871"}, {"ref": "sivakrishnabadri/titanic-tutorial", "kernel_id": "19060829"}, {"ref": "metusharbansal/titanic-data-logit", "kernel_id": "19072486"}, {"ref": "nehasingh011096/notebooktitanicdata", "kernel_id": "19173745"}, {"ref": "ayushchhoker/tittanic-tutorial", "kernel_id": "19056397"}, {"ref": "swapnilgavit30/titanic-machine-learning-from-disaster", "kernel_id": "19085482"}, {"ref": "athirasyf/day-1-titanic-tutorial", "kernel_id": "19060909"}, {"ref": "calvincalulot/getting-started-with-titanic-1st-ml-competition", "kernel_id": "19112503"}, {"ref": "davronnurmetov/day1-ml-titanic", "kernel_id": "19044536"}, {"ref": "abdelrahmanrezk7/take-higher-vote-from-randomforrest-xgb-decision-t", "kernel_id": "19041450"}, {"ref": "muhammadsalman288311/day-1-kaggle-ml", "kernel_id": "19067704"}, {"ref": "anurshrivastava/aarambh-titanic-se", "kernel_id": "19065717"}, {"ref": "youssefamryassin/notebook8ef980dfa4", "kernel_id": "19111467"}, {"ref": "danielfmhjertholm/my-first-submission", "kernel_id": "19154519"}, {"ref": "gururajkjagannath/titanic", "kernel_id": "19117837"}, {"ref": "gregoriusbayuaji/titanic-tutorial", "kernel_id": "19224892"}, {"ref": "amishadahal/day-1-getting-started-with-titanic", "kernel_id": "19073867"}, {"ref": "regexxsoftware/demo-notebook", "kernel_id": "19521680"}, {"ref": "afrinamustofasharony/linear-regression-on-titanic-dataset", "kernel_id": "19279309"}, {"ref": "maxcohen31/titanic-disaster-ml", "kernel_id": "19074671"}, {"ref": "sneegdhkrishnna/getting-started-with-titanic-ds", "kernel_id": "19138238"}, {"ref": "svfarande/30-days-of-ml-day-1-titanic", "kernel_id": "19107886"}, {"ref": "shakshyathedetector/getting-started-with-titanic", "kernel_id": "19235405"}, {"ref": "shoumitsaha/titanic", "kernel_id": "19091335"}, {"ref": "hammadali1206/module-4-assignment-1-titanic", "kernel_id": "19674873"}, {"ref": "dhanaabhirajk/phase-2-day-1", "kernel_id": "19088340"}, {"ref": "takumiogawa/nn-test1", "kernel_id": "19200529"}, {"ref": "vidhi0206/titanic", "kernel_id": "19033499"}, {"ref": "armanakbari/titanic-survival-prediction", "kernel_id": "19274693"}, {"ref": "mkaustubh/titanic-ml-30-days-kaggler", "kernel_id": "19063828"}, {"ref": "tushy24/titanic", "kernel_id": "19497274"}, {"ref": "kimkyungsik/second-trial", "kernel_id": "19216622"}, {"ref": "kalongboniface/notebookf61605f311", "kernel_id": "19159828"}, {"ref": "kdnitish1517/notebook356d1f47e7", "kernel_id": "19298837"}, {"ref": "syedshakerhussaini/getting-started-with-titanic", "kernel_id": "19037218"}, {"ref": "harshsolanki7/getting-started-with-titanic", "kernel_id": "19149663"}, {"ref": "geeks143/titanic-for-30-days-challenge-day1", "kernel_id": "19093944"}, {"ref": "shuklahrs/titanic-model-random-forest-model", "kernel_id": "19067665"}, {"ref": "kachalisarma20/analysis-on-titanic", "kernel_id": "19068019"}, {"ref": "kathleenwitherite/going-down-with-titanic", "kernel_id": "19053827"}, {"ref": "arashakbari80/full-comprehensive-eda-prediction", "kernel_id": "19316063"}, {"ref": "chalimasadiah/getting-started-with-titanic", "kernel_id": "19078612"}, {"ref": "yaldajafari/titanic-machine-learning-logistic-regression", "kernel_id": "19164024"}, {"ref": "mohammadsabeti/comprehensive-machine-learning-through-titanic", "kernel_id": "19435527"}, {"ref": "mohamedalsherif/titanic-tutorial", "kernel_id": "19043057"}, {"ref": "fereshte68/titanic-dataset-logistic-regression", "kernel_id": "19313374"}, {"ref": "lamyaazayed/lamyaazayed-titanic", "kernel_id": "19050151"}, {"ref": "olalekanfayemi/titanic-competition", "kernel_id": "19060699"}, {"ref": "unnoun/titanic-dataset", "kernel_id": "19043552"}, {"ref": "samaatalaat/getting-started-with-titanic", "kernel_id": "19237348"}, {"ref": "ramachandran2315/30-days-of-ml-getting-started-with-titanic", "kernel_id": "19074871"}, {"ref": "bogush/last-version", "kernel_id": "19510052"}, {"ref": "bogush/notebook2125bae1f4", "kernel_id": "19509181"}, {"ref": "raghavbansal07/logistic-regression-with-python-titanic", "kernel_id": "19750259"}, {"ref": "tyshgrand/getting-started-with-titanic", "kernel_id": "19925340"}, {"ref": "jeongkyulim/how-to-handle-na-data", "kernel_id": "19598097"}, {"ref": "jeongkyulim/simple-7-model-and-randomforest-tuning", "kernel_id": "19449350"}, {"ref": "kabilrh/titanic-solutions-by-machine-learning", "kernel_id": "19872494"}, {"ref": "duaayahia/getting-started-30days-of-ml-day1", "kernel_id": "19076908"}, {"ref": "tiaherdi/titanic-competition-final-submission", "kernel_id": "19419179"}, {"ref": "ruslangataullin/titanic-tutorial-for-ml-30-days", "kernel_id": "19113998"}, {"ref": "maneshpawar/titanic-survival", "kernel_id": "19227453"}, {"ref": "vadymbaranov/titanic-the-first-competition", "kernel_id": "19098299"}, {"ref": "erikaobonai/notebook-titanic-obonai", "kernel_id": "19021660"}, {"ref": "shradhapujari/notebook4e616b1e68", "kernel_id": "19118524"}, {"ref": "publichamlet/ph-starting-the-ml", "kernel_id": "19075932"}, {"ref": "srikanthregadi/getting-started-with-titanic", "kernel_id": "19743768"}, {"ref": "mahinuralam/getting-started-with-the-titanic", "kernel_id": "19262501"}, {"ref": "shiwamsahu/titanic-prediction-using-logistic-regressi0n", "kernel_id": "19647393"}, {"ref": "saryaa/day-1-30-days-of-ml", "kernel_id": "19071006"}, {"ref": "sahdevsinhchauhan/getting-started-with-titanic", "kernel_id": "19498760"}, {"ref": "boneacrabonjac/top-7-solution-automated-eda", "kernel_id": "19745932"}, {"ref": "cmchauhan/titanic-13-08-2021", "kernel_id": "19602065"}, {"ref": "ehabmohamed2022/titanic-1", "kernel_id": "19066237"}, {"ref": "jeanbaptistechaudron/titanic-v1", "kernel_id": "19100636"}, {"ref": "haribol123/titanic-machine-learning-from-disaster", "kernel_id": "19304083"}, {"ref": "uraj22/titanic", "kernel_id": "19227018"}, {"ref": "thura1601/getting-started-with-titanic", "kernel_id": "19062519"}, {"ref": "nikbits/titanic-disaster-prediction-model", "kernel_id": "19149069"}, {"ref": "mairyuno/titanic-random-forest", "kernel_id": "19451952"}, {"ref": "amarendargandla/titanic-tutirial", "kernel_id": "19094172"}, {"ref": "silviafernandezdata/starting-with-titanic", "kernel_id": "19113252"}, {"ref": "swethabandapalli/titanic-dataset-analysis-with-ml-algorithm", "kernel_id": "19129136"}, {"ref": "rosabelbraga/30daysofml-getting-started-with-titanic-01", "kernel_id": "19138177"}, {"ref": "karengonzalestambini/getting-started-with-titanic", "kernel_id": "19036851"}, {"ref": "asheshsaha/notebook450298c5ad", "kernel_id": "19449524"}, {"ref": "yousefroshdy/titanicmodel", "kernel_id": "19076355"}, {"ref": "assivanurul/titanic", "kernel_id": "19503299"}, {"ref": "barkhakhatri/getting-started-with-titanic", "kernel_id": "19152600"}, {"ref": "bilyalkkk/survived-on-titanic", "kernel_id": "19095826"}, {"ref": "sumayaaltuwairqi/titanic-tutorial-day-1", "kernel_id": "19057203"}, {"ref": "lucaspeduto/ogenego-titanic", "kernel_id": "19058601"}, {"ref": "mayanks1ngh/getting-started-with-titanic", "kernel_id": "19065751"}, {"ref": "ishaberde/notebook267fbb22aa", "kernel_id": "19129777"}, {"ref": "karthinatesan/titanic-survival", "kernel_id": "19201199"}, {"ref": "haushirley/titanic-machine-learning-from-disaster", "kernel_id": "19016252"}, {"ref": "vjniture/getting-started-with-titanic", "kernel_id": "19065165"}, {"ref": "vishalsingh14/getting-started-titanic-ml-model", "kernel_id": "19089402"}, {"ref": "michaelrandria/d-butant-en-machine-learning", "kernel_id": "19292637"}, {"ref": "deepeshaburse/titanic-predictions", "kernel_id": "19072940"}, {"ref": "mananmalhotravfx/getting-started-with-titanic", "kernel_id": "19036298"}, {"ref": "pankajsawnani/notebook2324d8f6f0", "kernel_id": "19877752"}, {"ref": "shekharchaugule/getting-start-with-titanic", "kernel_id": "19081554"}, {"ref": "riddhidas/getting-started-with-titanic", "kernel_id": "19091172"}, {"ref": "richaparte21/notebook86c64bc3c7", "kernel_id": "19108422"}, {"ref": "sakshamlamba/titanic-survival-problem", "kernel_id": "19061047"}, {"ref": "ranialka/30-days-ml-kaggle", "kernel_id": "19090883"}, {"ref": "jayeshkanchan/30-days-of-kaggle-day-1", "kernel_id": "19081455"}, {"ref": "davidreynolds1989/titanic-day-notebook", "kernel_id": "19073884"}, {"ref": "hanhsiangchang/getting-started-with-titanic", "kernel_id": "19069640"}, {"ref": "mtien2602/getting-started-with-titanic", "kernel_id": "19079121"}, {"ref": "mvanshika/getting-started-with-titanic", "kernel_id": "19079371"}, {"ref": "awjackson/starting-with-titanic", "kernel_id": "19100117"}, {"ref": "njengakamau/ak-titanic-clfn", "kernel_id": "19091592"}, {"ref": "kumudsingh9/titanic-data", "kernel_id": "19106476"}, {"ref": "jpa298765/getting-started-with-titanic", "kernel_id": "19066733"}, {"ref": "mamdouhoabdulghaffar/titanic-eda-classification", "kernel_id": "19613599"}, {"ref": "tabaraei/all-of-them-are-dead-anyways", "kernel_id": "19070688"}, {"ref": "ayoubbelouadah/notebookceacef8b95", "kernel_id": "19046737"}, {"ref": "kunaloza/get-started-with-titanic", "kernel_id": "19103180"}, {"ref": "mgyokim/30-days-of-ml-day-1", "kernel_id": "19078983"}, {"ref": "tanishayadav10000/day-1-30-titanic-survival", "kernel_id": "19118195"}, {"ref": "halabenchiheb/notebook6568209d13", "kernel_id": "19041383"}, {"ref": "mariofrans/titanic-0-77511-a", "kernel_id": "19069768"}, {"ref": "mikezubko/getting-started-with-titanic", "kernel_id": "19115508"}, {"ref": "devikamanoj/getting-started-with-titanic", "kernel_id": "19034334"}, {"ref": "jeuxvideodz/getting-started-with-titanic", "kernel_id": "19089041"}, {"ref": "afacmagdar/gettting-started-with-titanic", "kernel_id": "19082918"}, {"ref": "sachinthakavishan/decision-trees", "kernel_id": "19862406"}, {"ref": "prithvivyas/titanic-survival", "kernel_id": "19200741"}, {"ref": "kree212/30-days-of-ml-day1", "kernel_id": "19095896"}, {"ref": "gkamaraj/day1-kaggle-competition", "kernel_id": "19066187"}, {"ref": "kishanrajput23/getting-started-with-titanic", "kernel_id": "19082172"}, {"ref": "alwayswujun/titanic-test1", "kernel_id": "19233687"}, {"ref": "profahmadhussein2010/titanic-dataset", "kernel_id": "19531412"}, {"ref": "profahmadhussein2010/titanic-competition", "kernel_id": "19531443"}, {"ref": "profahmadhussein2010/classification-using-svm-knn-variable-selection", "kernel_id": "19531577"}, {"ref": "profahmadhussein2010/how-to-handle-outliers", "kernel_id": "19557763"}, {"ref": "profahmadhussein2010/practice-21-types-of-machine-learning", "kernel_id": "19648247"}, {"ref": "varundixit4/titanic-30-days-of-ml", "kernel_id": "19100730"}, {"ref": "hien2401/day1-30-days-of-ml", "kernel_id": "19072524"}, {"ref": "yewa8766/kaggle30days", "kernel_id": "19050453"}, {"ref": "kwakuaddodanquah/getting-started-with-titanic", "kernel_id": "19074756"}, {"ref": "tanabodeekongsuk/titanic-day-1", "kernel_id": "19058472"}, {"ref": "angelofallaria/notebook8ac5810482", "kernel_id": "19148920"}, {"ref": "saykrova/titanic-advanced-feature-engineering-tutorial", "kernel_id": "19060254"}, {"ref": "morgansu/titanic-competition-su", "kernel_id": "19078124"}, {"ref": "samitachowpoen/assign-01", "kernel_id": "19118377"}, {"ref": "ish1tas1ngh/predicting-chances-of-survival-on-titanic", "kernel_id": "19113696"}, {"ref": "letram/getting-started-with-titanic", "kernel_id": "19067598"}, {"ref": "amaalabdlhaleem/getting-started-with-titanic", "kernel_id": "19073206"}, {"ref": "karthickvg/karthick-gets-started", "kernel_id": "19102954"}, {"ref": "saminahsan/day-1-ml-30-days", "kernel_id": "19117404"}, {"ref": "snowmoss10/getting-started-with-titanic-exercise", "kernel_id": "19047048"}, {"ref": "mnhtrncngtun/notebook6c01e6e0d6", "kernel_id": "19092002"}, {"ref": "abhuthahir/titanic-survivor", "kernel_id": "19678613"}, {"ref": "athiraka/project-titanic", "kernel_id": "19054519"}, {"ref": "keivanipchihagh/titanic-eda-scikit-learn-77-accuracy", "kernel_id": "19318392"}, {"ref": "logeshm7/my-first-code-for-kaggle-titanic", "kernel_id": "19411923"}, {"ref": "nutchapolchaiyanon/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19159606"}, {"ref": "nimrakhan7/notebooke559748f6a", "kernel_id": "19091533"}, {"ref": "areebshafi/getting-started-with-titanic", "kernel_id": "19073517"}, {"ref": "prashantchandra96/notebook8b8199e854", "kernel_id": "19924527"}, {"ref": "antikaroy/antika-titanic-ml001", "kernel_id": "19534883"}, {"ref": "suchitravelusamy/day-1-30-days-of-ml", "kernel_id": "19067969"}, {"ref": "katzurasharma/titanic-problem", "kernel_id": "19066687"}, {"ref": "slickledarlosheeyz/slicklez-with-titanic-tutorial", "kernel_id": "19063701"}, {"ref": "mdadibhaque/predicting-titanic-survival-beginner-code", "kernel_id": "19602507"}, {"ref": "nkechiagbogo/main-titanic", "kernel_id": "19034004"}, {"ref": "jasvirsuman/titanic-oversimplified", "kernel_id": "19063787"}, {"ref": "rramandixit/titanicml", "kernel_id": "19077784"}, {"ref": "hsysss/notebookb957abf6f9", "kernel_id": "19306229"}, {"ref": "hossamfakher/titanic-classification", "kernel_id": "19080948"}, {"ref": "vinamratarani/titanic-30daysml", "kernel_id": "19098754"}, {"ref": "thundercoder/titanic-competition-kernel", "kernel_id": "19043287"}, {"ref": "lonedatasaur/fork-of-titanic-predictor", "kernel_id": "19920336"}, {"ref": "aksharpremnath/getting-started-with-titanic", "kernel_id": "19197009"}, {"ref": "michaelwu21/titanic-logistic", "kernel_id": "19441377"}, {"ref": "dhruvedesai/titanic-project", "kernel_id": "19348192"}, {"ref": "adribricorts/titanic-notebook-preprocessing", "kernel_id": "19003389"}, {"ref": "adribricorts/titanic-notebook-neural-net", "kernel_id": "19004272"}, {"ref": "phuongnt18/getting-started-with-titanic", "kernel_id": "19131881"}, {"ref": "jiteshbagul/titanic-data", "kernel_id": "19085026"}, {"ref": "suragpuliyathamil/notebook18c2f68d63", "kernel_id": "19061574"}, {"ref": "mohamedhassanakl/getting-started-with-titanic", "kernel_id": "19081437"}, {"ref": "pavelkhavanski/survive-titanic", "kernel_id": "19832678"}, {"ref": "ayushganeshnighot/titanic-basic-solution-using-adaboost-29e729", "kernel_id": "19061558"}, {"ref": "shimamohammadpour/titanic-survival-prediction", "kernel_id": "19043504"}, {"ref": "ramishraziullassaan/getting-started-with-titanic", "kernel_id": "19050873"}, {"ref": "bhawanasuman/getting-started-with-titanic", "kernel_id": "19090614"}, {"ref": "molney239/top-5-titanic-solution", "kernel_id": "19562153"}, {"ref": "mounicapatnana/random-forest-classifier-titanic-survival", "kernel_id": "19311971"}, {"ref": "anshuman7217/titanic-anshuman", "kernel_id": "19396147"}, {"ref": "atulsharma2002/titanic-ml-atul-sharma", "kernel_id": "19143334"}, {"ref": "satyapatra/notebook562ef5174e", "kernel_id": "19069194"}, {"ref": "shubhamsarthakgupta/getting-started-with-python", "kernel_id": "19056833"}, {"ref": "parthbhandari1/getting-started-with-titanic-30-days-of-ml", "kernel_id": "19098757"}, {"ref": "harleyhaas/rose-and-jack-s-love-child", "kernel_id": "19180791"}, {"ref": "luanorionbarana/can-we-survive-on-titanic", "kernel_id": "19045958"}, {"ref": "abdalmonemmarei/titanic30days", "kernel_id": "19109672"}, {"ref": "rutumbharakale/getting-started-with-titanic", "kernel_id": "19169069"}, {"ref": "neha8929/started-with-titanic", "kernel_id": "19779502"}, {"ref": "rbshwa/getting-started-with-titanic-task-1", "kernel_id": "19066611"}, {"ref": "greypillow/getting-started-with-titanic", "kernel_id": "19116052"}, {"ref": "noobengineer/a-noob-s-navigation-of-titanic", "kernel_id": "19071755"}, {"ref": "pixelite87/30-days-of-kaggle-day-1", "kernel_id": "19072540"}, {"ref": "bimalp/getting-started-with-titanic", "kernel_id": "19343496"}, {"ref": "sachinpareek99/titan", "kernel_id": "19113671"}, {"ref": "asalshamim/getting-started-with-titanic", "kernel_id": "19049477"}, {"ref": "prajaktadhumal/getting-started-with-titanic", "kernel_id": "19064438"}, {"ref": "archanaalva/30-days-of-ml-d1-getting-started-with-titanic", "kernel_id": "19186463"}, {"ref": "ruchikabhoyar/day-1-my-submission-csv", "kernel_id": "19067220"}, {"ref": "surajkumar9/titanic-disaster", "kernel_id": "19270178"}, {"ref": "anujsrivastava08/getting-started-with-titanic-day-1", "kernel_id": "19068854"}, {"ref": "bmcode86/bmcode-titanic-v1", "kernel_id": "19043492"}, {"ref": "biotechpedro/first-notebook-30daysml", "kernel_id": "19096057"}, {"ref": "vulture1/vulture-titanic", "kernel_id": "19065904"}, {"ref": "dhiyakellouche/titanic-tutorial", "kernel_id": "19050736"}, {"ref": "sazalkumar/titanicexperiment", "kernel_id": "19882419"}, {"ref": "mohammadtanweerahmed/ml-journey-begins-getting-started-with-titanic", "kernel_id": "19103713"}, {"ref": "mohammedaldarai/getting-started-with-titanic", "kernel_id": "19114065"}, {"ref": "varalakshmiyimani/getting-started-with-titanic", "kernel_id": "19080392"}, {"ref": "priyabasantgupta/titanic-passengers-survival-predictions", "kernel_id": "19083620"}, {"ref": "nuzhatmasud/titanic-survivor-prediction", "kernel_id": "19109742"}, {"ref": "adityagj/getting-started-me", "kernel_id": "19220945"}, {"ref": "lildatascientist/titanic-gradient-boosting", "kernel_id": "19115809"}, {"ref": "lildatascientist/multiclass-classification-from-scratch", "kernel_id": "19510228"}, {"ref": "lildatascientist/importance-of-scaling-data", "kernel_id": "19470135"}, {"ref": "lildatascientist/neural-network-from-scratch", "kernel_id": "19792433"}, {"ref": "mohammedakib/getting-started-with-titanic", "kernel_id": "19079591"}, {"ref": "melvinsajithomas/30-days-of-ml-day-1-getting-started-with-titanic", "kernel_id": "19100261"}, {"ref": "mujahidalkhuzayyim/getting-started-with-titanic-30-days-of-ml-day-1", "kernel_id": "19169173"}, {"ref": "manzoors/ml-practice", "kernel_id": "19151699"}, {"ref": "meetyogeshpatel/titanic-test-note-book", "kernel_id": "19220819"}, {"ref": "meetyogeshpatel/gettting-started-with-titanic", "kernel_id": "19081692"}, {"ref": "dipenchellani/getting-started-with-titanic", "kernel_id": "19105420"}, {"ref": "omidfarzan/getting-started-with-titanic-by-omid", "kernel_id": "19122818"}, {"ref": "abhisingh88/titanic-tutorial", "kernel_id": "19076615"}, {"ref": "moulikoribilli/getting-started-with-titanic-competition", "kernel_id": "19133653"}, {"ref": "sanjayaiwanhermawan/getting-started-with-titanic", "kernel_id": "19222480"}, {"ref": "angieapontepereira/getting-started-with-titanic", "kernel_id": "19063915"}, {"ref": "mayankgupta27/titanic-tutorial", "kernel_id": "19544097"}, {"ref": "rachidbaadj/mytitanicsubmission", "kernel_id": "19208819"}, {"ref": "alecmccloskey/notebook1843438238", "kernel_id": "19300090"}, {"ref": "anu1312/titanic-beginner-eda-ml", "kernel_id": "19559290"}, {"ref": "emirnderdemircan/titanik-eda", "kernel_id": "19471901"}, {"ref": "ajitsivakumar/titanic-survival-prediction-model", "kernel_id": "19038104"}, {"ref": "bintangmraihan/titanic-case-prediction-ensemble", "kernel_id": "19144245"}, {"ref": "thusnoname/titanic-survival", "kernel_id": "19230851"}, {"ref": "ozberk/eda-and-machine-learning-with-titanic-dataset", "kernel_id": "19406242"}, {"ref": "amino19/titanic-tutorial-amino19", "kernel_id": "19082249"}, {"ref": "maratzordinov/notebookad353d6ebb", "kernel_id": "19082537"}, {"ref": "patcharasiris/assignment-day-1", "kernel_id": "19101949"}, {"ref": "abhisheksingh1628/titanic-survival-prediction-with-80-accuracy", "kernel_id": "19155890"}, {"ref": "shivu512/ml-lab-session-01-111915122", "kernel_id": "19450492"}, {"ref": "hananenourmoussa/titanic-survival-prediction-knn", "kernel_id": "19216800"}, {"ref": "mahadeehasanabir/get-started-with-titanic", "kernel_id": "19202831"}, {"ref": "mabhinayreddy/notebook72e0779786", "kernel_id": "19864114"}, {"ref": "nikhilkumarjilla/notebookac784df8d4", "kernel_id": "19863817"}, {"ref": "abdulhakeemth/tatanic-ml", "kernel_id": "19397062"}, {"ref": "dacianpeng/tensorflow-2-5-1-solution-for-titanic", "kernel_id": "19696808"}, {"ref": "maureque/titanic-machine-learning-randomforestclassifier", "kernel_id": "19248477"}, {"ref": "rinshankolayil/titanic", "kernel_id": "19258478"}, {"ref": "gozieibekwe/titanic-challenge", "kernel_id": "19289562"}, {"ref": "codandre101/titanic-competition", "kernel_id": "19305144"}, {"ref": "avinashupadhyaya/notebook07bd47a2c8", "kernel_id": "19321257"}, {"ref": "fauxhubris/titanic-version-2", "kernel_id": "19500558"}, {"ref": "abdallahamr48/notebookd9e17359c2", "kernel_id": "19920570"}, {"ref": "emrekele/titanic-project", "kernel_id": "19617315"}, {"ref": "educarrasco89/titanicfromnoob", "kernel_id": "19832986"}, {"ref": "minsingjinkinghee/my-own", "kernel_id": "19605654"}, {"ref": "minsingjinkinghee/tutorial-ver-and-modify", "kernel_id": "19688328"}, {"ref": "mohammadyasirnikozai/notebook2c12e91f9e", "kernel_id": "19595332"}, {"ref": "takahiroyoshida012/titanic-randomforest-simple-feature-engineering", "kernel_id": "19823925"}, {"ref": "sharmaharshit0059/kaggle-30-days-of-ml-day-1-titanic-submission", "kernel_id": "19656006"}, {"ref": "ishitabhatt/titanic-data-science-solutions", "kernel_id": "19538580"}, {"ref": "ishitabhatt/titanic-eda-pycaret-predictive-analysis", "kernel_id": "19936033"}, {"ref": "kunalcr7/titanic", "kernel_id": "19574075"}, {"ref": "abdallahelbarkokey/week-3-assignment", "kernel_id": "19552752"}, {"ref": "bhavy07/notebook7eff31ec67", "kernel_id": "19936984"}, {"ref": "robdogan/ml-titanic", "kernel_id": "19946860"}, {"ref": "oracle444/getting-started-with-titanic", "kernel_id": "19884453"}, {"ref": "vmuzhichenko/titanic-eda-and-classification", "kernel_id": "19980102"}, {"ref": "emscho/titanic-xgbclassifier", "kernel_id": "19847121"}, {"ref": "zivrapaport/my-titanic-model", "kernel_id": "19967852"}, {"ref": "khaledhesham896/notebookdf9e642f6e", "kernel_id": "19795851"}, {"ref": "kannan100/titanic-important-codes", "kernel_id": "19933130"}, {"ref": "sehjan/notebook4beb572119", "kernel_id": "19728658"}, {"ref": "jaygoswami/jay-titanicc", "kernel_id": "19823933"}, {"ref": "evelynolalekanelesin/notebook1ab22ded49", "kernel_id": "19888912"}, {"ref": "jashandeep0001/titanic", "kernel_id": "19828006"}, {"ref": "james330/titanic-training", "kernel_id": "19961914"}, {"ref": "shahdalkhateeb/randomforset", "kernel_id": "19858562"}, {"ref": "ranawagdy/notebook4fc1f92e75", "kernel_id": "19968021"}, {"ref": "hnshu0/an-exercise-of-pytorch-on-titanic", "kernel_id": "19989244"}, {"ref": "mennaabdelmeguid/mena-abdelmeguid-titanic", "kernel_id": "19916023"}, {"ref": "bvk2000/notebookcb4b74845c", "kernel_id": "19950222"}, {"ref": "victorcm22/a-short-tutorial-in-r-the-first-steps", "kernel_id": "19974272"}, {"ref": "fernandonieuwveldt/tensorflow-simple-decision-forest", "kernel_id": "20936747"}, {"ref": "fernandonieuwveldt/using-tensorflow-pipelines", "kernel_id": "20893321"}, {"ref": "gijigae/notebookf430423912", "kernel_id": "20050491"}, {"ref": "bcruise/titanic-gradient-boost", "kernel_id": "20005627"}, {"ref": "huangguofu/tinanic-notebook", "kernel_id": "20104396"}, {"ref": "souravmahajan/build-the-fundamentals", "kernel_id": "20418779"}, {"ref": "mattkierans/volods-ml-practice", "kernel_id": "20544146"}, {"ref": "osvaldomx/titanic-prediction", "kernel_id": "20681403"}, {"ref": "rajamykaggle/titanic-explainable-ml-code-part3", "kernel_id": "20989801"}, {"ref": "rajamykaggle/top-2-score-through-simple-feature-engineering", "kernel_id": "20031371"}, {"ref": "sandipk/ml-flow", "kernel_id": "20924120"}, {"ref": "parisairam/notebookd68fe89e03", "kernel_id": "20346735"}, {"ref": "ankp310/getting-started-with-titanic", "kernel_id": "20864788"}, {"ref": "fbozoglilanian/titanic-predictions-using-xgboost-regressor", "kernel_id": "20378508"}, {"ref": "rohitsaistark/titanic-randomforest", "kernel_id": "20656071"}, {"ref": "rohitsaistark/getting-started-with-titanic", "kernel_id": "20071877"}, {"ref": "govindarajand/titanic-learn", "kernel_id": "20185968"}, {"ref": "harcherole/titanic-survived-prediction-with-90-score", "kernel_id": "20023496"}, {"ref": "averysmith/notebookd2c957e063", "kernel_id": "20516042"}, {"ref": "ro101010/titanic-data-eda-and-training", "kernel_id": "20688256"}, {"ref": "christodoulos/titanic-top-1-w-simple-ensemble-learning", "kernel_id": "20420656"}, {"ref": "sujataroy/titanic-feature-engineering", "kernel_id": "20817677"}, {"ref": "bhushan3819/titanic-logistic-regression", "kernel_id": "20841627"}, {"ref": "kritidoneria/top-1-titanic-easiest-code-ever", "kernel_id": "20139163"}, {"ref": "kritidoneria/begginers-data-geek-bot-automated-eda-on-titanic", "kernel_id": "20311990"}, {"ref": "imanragab/titanic-ml", "kernel_id": "20696820"}, {"ref": "blackdew/my-first-comp", "kernel_id": "20440581"}, {"ref": "vinayanant/getting-started-with-titanic-tutorial", "kernel_id": "20803361"}, {"ref": "litals/random-forest-for-titanic-data", "kernel_id": "20421139"}, {"ref": "prashant1996/notebook6992aa7c5a", "kernel_id": "20242822"}, {"ref": "funxexcel/titanic-solution-using-random-forest-tool-r", "kernel_id": "20446023"}, {"ref": "aikaggle1/feature", "kernel_id": "20809480"}, {"ref": "emarkhauser/pyspark-tutorial", "kernel_id": "20640618"}, {"ref": "x2cnk8x/notebook3bf7ef7d05", "kernel_id": "20883258"}, {"ref": "bruno9tg/teste-amanda-amaral", "kernel_id": "20097107"}, {"ref": "ishraqaldagamseh/ishraq-s-titanic-predictor", "kernel_id": "20639875"}, {"ref": "julichitai/gb-8-python", "kernel_id": "20021156"}, {"ref": "mostafafathy2021/titanic", "kernel_id": "20672510"}, {"ref": "shenurisumanasekara/titanic", "kernel_id": "20035381"}, {"ref": "shenurisumanasekara/titanic-2-modified", "kernel_id": "20066674"}, {"ref": "rohanpatnaik/titanic-project-example", "kernel_id": "20192570"}, {"ref": "pasadenian/titanic-optuna", "kernel_id": "20806851"}, {"ref": "pasadenian/titanic-target-encoding", "kernel_id": "20804684"}, {"ref": "pasadenian/titanic-blending", "kernel_id": "20821903"}, {"ref": "pasadenian/titanic-baseline", "kernel_id": "20787525"}, {"ref": "pasadenian/titanic-create-folds", "kernel_id": "20787065"}, {"ref": "pasadenian/titanic-feature-engineering", "kernel_id": "20788669"}, {"ref": "ahmedyahia/titanic", "kernel_id": "20448297"}, {"ref": "basmaadawy/titanic-task", "kernel_id": "20679239"}, {"ref": "i3ear0/notebook759635f047", "kernel_id": "20250620"}, {"ref": "aruna1234/titanic-dataset", "kernel_id": "20322534"}, {"ref": "leandronog/predicting-titanic-survivors", "kernel_id": "20936650"}, {"ref": "hassansajjad/titanic-prediction-for-90-accuracy", "kernel_id": "20933985"}, {"ref": "activelius/fork-of-titanic", "kernel_id": "20821554"}, {"ref": "eneszvo/how-to-optimize-python-and-pandas-code", "kernel_id": "20313922"}, {"ref": "nagamsurya/titanic-surviviors-improved-prediction", "kernel_id": "20676142"}, {"ref": "grayphantom/titanic-disaster-survival-prediction", "kernel_id": "20797226"}, {"ref": "werooring/ch0-titanic-basic-solution-using-randomforest", "kernel_id": "20555875"}, {"ref": "preethi04/ml-homework3", "kernel_id": "20749579"}, {"ref": "harishvijay19/titanic-first-try", "kernel_id": "20737973"}, {"ref": "gazu468/play-with-data-beginner-strategy", "kernel_id": "20440464"}, {"ref": "qlaudy/getting-started-with-titanic", "kernel_id": "20346554"}, {"ref": "haozhang607/kaggle-learning-notebook", "kernel_id": "20674303"}, {"ref": "vedanth777/titanic-analysis", "kernel_id": "20549209"}, {"ref": "ankurdhamija83/age-ticket-pre-processing-pipelines-rf-model", "kernel_id": "20181727"}, {"ref": "tangigouez/titanic-project-machine-learning-data-pipeline", "kernel_id": "20004835"}, {"ref": "akkkkii/titanic-disaster-using-logistic-regression", "kernel_id": "20161081"}, {"ref": "datuluna/titanic-ml-practice", "kernel_id": "20565626"}, {"ref": "sohaaan/titanic-analysis-model", "kernel_id": "20340185"}, {"ref": "djagatiya/eda-and-prediction-on-titanic-dataset", "kernel_id": "20583723"}, {"ref": "saieed/project", "kernel_id": "20443306"}, {"ref": "firefliesqn/titanic-in-10-lines", "kernel_id": "20193091"}, {"ref": "omaraabdelsamed/titanic-competition", "kernel_id": "20456776"}, {"ref": "josbop/titanic-first-submission", "kernel_id": "20975958"}, {"ref": "avidlearner23/my-titanic-competition-code", "kernel_id": "20290208"}, {"ref": "crystaldime/assignment-0-submission", "kernel_id": "20820864"}, {"ref": "medhashaharkar/getting-started-with-titanic", "kernel_id": "20015633"}, {"ref": "eidarous/titanic-machine-learning", "kernel_id": "20444408"}, {"ref": "sabbir108/titanic-records", "kernel_id": "20841679"}, {"ref": "pratham07/titanic-survival-prediction", "kernel_id": "20326909"}, {"ref": "kazuhito00/titanic-dtreeviz-sample", "kernel_id": "20505942"}, {"ref": "soham11/titanic-multiple-linear-regression", "kernel_id": "20423299"}, {"ref": "whchang22/titanic", "kernel_id": "20433430"}, {"ref": "piyushbehera/titanic-ml", "kernel_id": "20258278"}, {"ref": "jamaleyhussain/titanic-eda", "kernel_id": "20404116"}, {"ref": "mmellinger66/titanic-eda01-biased-outliers", "kernel_id": "20328117"}, {"ref": "docstein/titanic-survivors-with-sklearn-and-trees", "kernel_id": "20235256"}, {"ref": "heartnoxill/titanic-survival", "kernel_id": "20388795"}, {"ref": "onezzy/titanic-solution-random-forest", "kernel_id": "20179405"}, {"ref": "vyhaen/amr-el-menshawy-titanic", "kernel_id": "20703899"}, {"ref": "gom3a8/mohamed-ahmed-egy-1", "kernel_id": "20424086"}, {"ref": "erennnkr/titanik-projem", "kernel_id": "20737550"}, {"ref": "sukeshkmr31/notebookbb85c53850", "kernel_id": "20460694"}, {"ref": "yalcinmehmet/titanic-info", "kernel_id": "20969666"}, {"ref": "dimitriirfan/how-to-make-your-viz-stand-out-v1-beginners", "kernel_id": "20986268"}, {"ref": "banihani96/predicts-which-passengers-survived-the-titanic", "kernel_id": "20982602"}, {"ref": "omarmohamed10/titianic-project", "kernel_id": "20449229"}, {"ref": "maudepeach/shaffer-cap4611-titanic", "kernel_id": "20724382"}, {"ref": "jrmrmh/titanic", "kernel_id": "20770604"}, {"ref": "ahmedmedrah/titanic-survival-classification", "kernel_id": "20664322"}, {"ref": "tudoale1/titanic-dataset-prediction-xgb-ann", "kernel_id": "20669513"}, {"ref": "mugenor/notebook077e8041d6", "kernel_id": "20396294"}, {"ref": "hinata412/rindoku-20210913", "kernel_id": "20483767"}, {"ref": "aish0997/titanic-dataset-80-accuracy", "kernel_id": "20854046"}, {"ref": "somashekar1902/kaggle-titanic", "kernel_id": "20239546"}, {"ref": "caesarmario/data-to-destiny-titanic-survival-prediction", "kernel_id": "20913035"}, {"ref": "smrazaidi/titanic-disaster-prediction", "kernel_id": "20390158"}, {"ref": "taheraa/tt-ml1-kaggle-assignment", "kernel_id": "20455223"}, {"ref": "jchow2/code-collection-for-titanic-eda", "kernel_id": "20230121"}, {"ref": "hamdallak/dealing-with-null-values", "kernel_id": "20271540"}, {"ref": "abeeradel/titanic", "kernel_id": "20331115"}, {"ref": "hellstormer00/titanic", "kernel_id": "20796196"}, {"ref": "arti1117/titanic-machine-learning", "kernel_id": "20593069"}, {"ref": "bladerikwr/getting-started-with-titanic", "kernel_id": "20814996"}, {"ref": "jbraha/titanic-lifeboat-prediction-with-decision-trees", "kernel_id": "20563883"}, {"ref": "guneetoct10/notebooka04d309dc4", "kernel_id": "20219062"}, {"ref": "samanemami/tfbt-classifier-titanic-problem-survived-label", "kernel_id": "20394452"}, {"ref": "abirpaul/ml-predictions-for-titanic-disaster", "kernel_id": "20440342"}, {"ref": "lokeshrth4617/decision-tree-visually-explained", "kernel_id": "20089396"}, {"ref": "duyguatasever/titanic-solutions", "kernel_id": "20759192"}, {"ref": "kaihuang1995/titanic", "kernel_id": "20950140"}, {"ref": "veleirx/titanic-eda-ml-beginner", "kernel_id": "20917929"}, {"ref": "piuskitheru/titanic-prediction", "kernel_id": "20347013"}, {"ref": "patrickb1912/decision-trees-from-scratch-for-titanic", "kernel_id": "20413087"}, {"ref": "contravia/datamininglearningcelltitanictask", "kernel_id": "20274113"}, {"ref": "souryadipstan/titanic-survival-prediction-using-decision-tree", "kernel_id": "20404148"}, {"ref": "nhaphan0411/the-experiment-of-titanic", "kernel_id": "20300673"}, {"ref": "esraaabdulfatah/final-code-titanic", "kernel_id": "20944895"}, {"ref": "guilhermecosti/titanic-boost-fe-pre-processing", "kernel_id": "20397014"}, {"ref": "mokar2001/86-ensemble-algorithm-pca", "kernel_id": "20302888"}, {"ref": "zekaili/titanic-advanced-feature-engineering-walk-through", "kernel_id": "20432280"}, {"ref": "dillonmyrick/titanic-top-8-with-xgboost", "kernel_id": "20622208"}, {"ref": "syaoranclone/titanic-ml-competition", "kernel_id": "20972112"}, {"ref": "mariodesvera/titanium", "kernel_id": "20655555"}, {"ref": "samentertainment/titaniccompertition", "kernel_id": "20695447"}, {"ref": "mehmetsabrikunt/survived-from-titanic", "kernel_id": "20305694"}, {"ref": "gsivakumar/titanic-random-forest-classifier", "kernel_id": "20590126"}, {"ref": "khkuggle/don-t-know-which-visualisation-to-use", "kernel_id": "20471660"}, {"ref": "khkuggle/logistic-regression-from-scratch-with-explanation", "kernel_id": "20627824"}, {"ref": "campusx/titanic-data-analysis", "kernel_id": "20531281"}, {"ref": "vishwanathachari/titaniceda-pandas-numpy-beginners", "kernel_id": "20607753"}, {"ref": "m7mdelmelegy/titanic-survival-prediction", "kernel_id": "20685757"}, {"ref": "abhijeetmalviya/titanic-version-2", "kernel_id": "20796459"}, {"ref": "ajinkykunjir/dtree-random-forest-for-bigmart-dataset", "kernel_id": "20135133"}, {"ref": "ammarabsawy/titanic-logistic-regression-with-python", "kernel_id": "20437408"}, {"ref": "akashambashankar/getting-started-with-titanic", "kernel_id": "20495016"}, {"ref": "lazytitan266/titanic-survival-prediction", "kernel_id": "20835900"}, {"ref": "pradneshlachake/my-first-kaggle-project-titanic-disaster", "kernel_id": "20717983"}, {"ref": "goldlock/assignment0", "kernel_id": "20604384"}, {"ref": "lonnieqin/tf-df-titanic-prediction", "kernel_id": "20417875"}, {"ref": "lonnieqin/titanic-prediction-with-kerastuner", "kernel_id": "20950503"}, {"ref": "crasons/shrestha-titanic-notebook-3", "kernel_id": "20718852"}, {"ref": "sergioplatero/sergio-titanic-dataset", "kernel_id": "20125583"}, {"ref": "muhammadbintanveer/titanic-project-example", "kernel_id": "20302246"}, {"ref": "rishabhsaklani/getting-started-with-titanic", "kernel_id": "20230369"}, {"ref": "deepakkaura/titanic-solution-lr-base-model-1", "kernel_id": "20455952"}, {"ref": "bextuychiev/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20511503"}, {"ref": "bextuychiev/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "20761982"}, {"ref": "enesimek/titanic-ml", "kernel_id": "20794128"}, {"ref": "priyank7/titanic-data-visualization", "kernel_id": "20387519"}, {"ref": "priyank7/dietanic-2", "kernel_id": "20483556"}, {"ref": "pesssinaluca/titanic-challange-ml-binary-classification", "kernel_id": "20788473"}, {"ref": "virjinfanesa/ass1-no-4", "kernel_id": "20152246"}, {"ref": "virjinfanesa/ass1-no-3", "kernel_id": "20072336"}, {"ref": "asmaamansour/titanic", "kernel_id": "20551798"}, {"ref": "atilaysamiloglu/a-b-testing-and-dynamic-pricing", "kernel_id": "20656216"}, {"ref": "ahmedaffan789/titanic-practice", "kernel_id": "20523069"}, {"ref": "muki2003/titanic-survived-prediction-01", "kernel_id": "20886492"}, {"ref": "ajuraju/titanic-survivor-prediction", "kernel_id": "20354055"}, {"ref": "hacktech33/titanic-solution-xgboost", "kernel_id": "20183845"}, {"ref": "sofiasdt/titanic-machine-learning-from-disaster", "kernel_id": "20403604"}, {"ref": "dmitryfomkin/titanic-preprocessing-and-logistic-regression", "kernel_id": "20925457"}, {"ref": "mohamednabill7/titanic", "kernel_id": "20750089"}, {"ref": "bennott/titanic-survivability-prediction", "kernel_id": "20390007"}, {"ref": "hamzabutt0343/titanic-dataset", "kernel_id": "20580880"}, {"ref": "eng0mohamed0nabil/predict-survival-on-the-titanic-mohamed-nabil", "kernel_id": "20902749"}, {"ref": "adhyatmasharma/basic-random-forest", "kernel_id": "20320237"}, {"ref": "basitarif/learning-titanic10-09", "kernel_id": "20442299"}, {"ref": "arindamroy23/homl-c3-excercise-3", "kernel_id": "20508050"}, {"ref": "jirkaborovec/starter-flash-titanic-meets-iceberg", "kernel_id": "20863538"}, {"ref": "akzenith/titanic-accuracy-0-91", "kernel_id": "20538955"}, {"ref": "kokoabassplayer/getting-started-with-titanic", "kernel_id": "20885337"}, {"ref": "gulshanshrivastava7/notebooka29f36a97a", "kernel_id": "20988310"}, {"ref": "bertanimre/titanic-prediction", "kernel_id": "20953571"}, {"ref": "michaelwilder/titanic-survival-eda-and-randomforest", "kernel_id": "20221087"}, {"ref": "hanwendywenli/predicting-titanic-disaster", "kernel_id": "20147225"}, {"ref": "pyjune/eda-to-prediction-dietanic-daniel-park-kor-eng", "kernel_id": "20529714"}, {"ref": "lordozvlad/leaky-relu-dropout-sigmoid-pytorch", "kernel_id": "20345855"}, {"ref": "tracyporter/titanic-udemy-course", "kernel_id": "20024587"}, {"ref": "tracyporter/titanic-kaggle-code-udemy", "kernel_id": "20141516"}, {"ref": "vinitshah0110/titanic-survivor-classical-ml-and-dl-model", "kernel_id": "20980586"}, {"ref": "mdrakibuzzaman/titanic-347", "kernel_id": "20239299"}, {"ref": "alexeypozdnyakov1/titanic", "kernel_id": "20647510"}, {"ref": "satyabrataroy/40-insights-extraction-eda-titanic-dataset", "kernel_id": "20547819"}, {"ref": "stuartsul/titanic", "kernel_id": "20712782"}, {"ref": "comman/titanic", "kernel_id": "20862499"}, {"ref": "santhiyar/day-19-task", "kernel_id": "20365981"}, {"ref": "showeed/starter-book-begginer-analysis", "kernel_id": "20998734"}, {"ref": "ksksandy/titanic-notebook", "kernel_id": "20616921"}, {"ref": "alid3bs/first-one", "kernel_id": "20576771"}, {"ref": "vitaliiopryshko/iee-energy-innovations", "kernel_id": "20408885"}, {"ref": "abhishekchachadi/my-first-titanic-prediction", "kernel_id": "20900815"}, {"ref": "rahulrathore1512/titanic-solution-lr-base-model-1", "kernel_id": "20455979"}, {"ref": "toluduro/homework-2", "kernel_id": "20752917"}, {"ref": "ghasikey/titanic", "kernel_id": "20629634"}, {"ref": "ccaitlum/titanic-prediction-with-various-model", "kernel_id": "20402840"}, {"ref": "deepak915/titanic-submission", "kernel_id": "20402874"}, {"ref": "hungwaikay/titanic-hungwaikay", "kernel_id": "20775756"}, {"ref": "suprematism/ml-titanic-getting-started", "kernel_id": "20271397"}, {"ref": "ast999/titanic-tutorial", "kernel_id": "20049659"}, {"ref": "shoumanbaruashuvo/titanic-ls-lr-sgd-2321", "kernel_id": "20265234"}, {"ref": "abdulbaseetzahir/titanic-subm", "kernel_id": "20964179"}, {"ref": "zahrajai/titanic-logistic-regression", "kernel_id": "20689335"}, {"ref": "raminferdos/eda-titanic", "kernel_id": "20447975"}, {"ref": "raminferdos/eda-titanic-dataset", "kernel_id": "20353175"}, {"ref": "alikmondal/titanic-dataset-beginner-deep-dive", "kernel_id": "20722945"}, {"ref": "mjmiossec/titanic-dataset-your-model-is-already-pretty-good", "kernel_id": "20789961"}, {"ref": "ismailhamouda/titanic", "kernel_id": "20369007"}, {"ref": "ghazalkheyroddin/94-accuracy-using-logistic-regression", "kernel_id": "20062198"}, {"ref": "ghazalkheyroddin/eda-cleaning-and-classifying-for-beginners", "kernel_id": "20319273"}, {"ref": "kobeerose/getting-started-with-titanic", "kernel_id": "20784342"}, {"ref": "arjunsahas/in-top-3-titanic-machine-learning-from-disaster", "kernel_id": "20117266"}, {"ref": "yunusemreaslann/my-titanic-project", "kernel_id": "20585123"}, {"ref": "yakinetahtah/titanic-eda-visualization", "kernel_id": "20258394"}, {"ref": "rafal/titan-prediction", "kernel_id": "20995111"}, {"ref": "myassine00/titanic-disaster", "kernel_id": "20979340"}, {"ref": "jamesstevens/jstevens-assignment-0", "kernel_id": "20790233"}, {"ref": "kevinrwh/cop4611-hw0", "kernel_id": "20794668"}, {"ref": "kelizatoh/titanic-logistic-regression", "kernel_id": "20608312"}, {"ref": "kelizatoh/titanic-decision-tree-classifier", "kernel_id": "20688275"}, {"ref": "kelizatoh/titanic-random-forest-classifier", "kernel_id": "20690759"}, {"ref": "kelizatoh/titanic-naive-bayes", "kernel_id": "20692142"}, {"ref": "kelizatoh/titanic-lightautoml", "kernel_id": "20953978"}, {"ref": "kelizatoh/titanic-automl", "kernel_id": "20951079"}, {"ref": "kelizatoh/titanic-xgboost", "kernel_id": "20833015"}, {"ref": "thbalaji/day-19", "kernel_id": "20340084"}, {"ref": "thbalaji/phase-2-titanic-day-1", "kernel_id": "20590996"}, {"ref": "gocer15/titanic-fberrinnn", "kernel_id": "20643392"}, {"ref": "elliefarnsworth/assignment-0", "kernel_id": "20771004"}, {"ref": "mohmedmousa/titanic-solution-top3", "kernel_id": "20395894"}, {"ref": "bharatnatrayn/matplotlib-tutorial", "kernel_id": "20023605"}, {"ref": "cameronberezuk/notebookberezuk", "kernel_id": "20725702"}, {"ref": "nguyentuongquang/titanic-with-r", "kernel_id": "20358400"}, {"ref": "alibehery/titanic-ml1", "kernel_id": "20949858"}, {"ref": "kshitijbarnwal/titanic-logistic-regression", "kernel_id": "20445947"}, {"ref": "ashishkapasiya/titanic-top-2-eda-prediction-using-keras", "kernel_id": "20322470"}, {"ref": "mostafaelnabawy/titanic", "kernel_id": "20718644"}, {"ref": "sagejacob/titanic", "kernel_id": "20699287"}, {"ref": "sameer1502/eda-on-titanic-problem-statement", "kernel_id": "20777813"}, {"ref": "praisej/titanic", "kernel_id": "20895812"}, {"ref": "anandhuh/introduction-to-cutecharts-library", "kernel_id": "20683931"}, {"ref": "alexanderkostryukov/notebooke99ed6c71c", "kernel_id": "20207217"}, {"ref": "harishsenapathy/fork-of-titanic-prediction", "kernel_id": "20850226"}, {"ref": "alshaimaaayman/getting-started-with-titanic", "kernel_id": "20024469"}, {"ref": "saimaaakhan/titanic-dubse", "kernel_id": "20253005"}, {"ref": "luongduongminh/titanic-machine-learning-from-disaster", "kernel_id": "20922028"}, {"ref": "nourhansalim/titanic-randomforest", "kernel_id": "20610055"}, {"ref": "mazenramadan/stroke-predictions-eda-classification", "kernel_id": "20793958"}, {"ref": "mohammedelnabawy/titanic-classification-model", "kernel_id": "20663910"}, {"ref": "saharpourahmad/filoger-week-5-1-titanic-classification", "kernel_id": "20661837"}, {"ref": "rauffatali/survival-prediction-of-titanic-disaster", "kernel_id": "20345417"}, {"ref": "rauffatali/titanic-survival-prediction-cross-validation", "kernel_id": "20341299"}, {"ref": "upinderkahlon28/titanic-survivors", "kernel_id": "20021566"}, {"ref": "pratinavseth/logistic-regression-scratch", "kernel_id": "20507708"}, {"ref": "nadyashraf/nady-g2", "kernel_id": "20693807"}, {"ref": "taricov/could-a-ticket-decide-your-destiny-buy-yours-now", "kernel_id": "20827204"}, {"ref": "akshayr009/titanic-ml", "kernel_id": "20089541"}, {"ref": "akshayr009/titanic-machine-learning-from-disaster", "kernel_id": "20075015"}, {"ref": "mostafakotb/notebook66eddfdfe6", "kernel_id": "20029421"}, {"ref": "xavier001/xgboost-lightgbm-and-gbdt", "kernel_id": "20927108"}, {"ref": "xavier001/logistic-regression-homework", "kernel_id": "20633182"}, {"ref": "xavier001/80-861-with-rf-mean-encoding-bayesianoptimization", "kernel_id": "20781792"}, {"ref": "xavier001/random-forest", "kernel_id": "20779718"}, {"ref": "aliderakhshesh/titanic-a-good-start-point", "kernel_id": "20758180"}, {"ref": "fadynoshy/ml1-titanic-assignment", "kernel_id": "20696554"}, {"ref": "asthamular/titanic", "kernel_id": "20948232"}, {"ref": "kunalpujdekar/logistic-regression", "kernel_id": "20990320"}, {"ref": "chukwudiumezinne/titanic-machine-learning-competition", "kernel_id": "20583484"}, {"ref": "ahmedelhodaiby/titanic-ml1", "kernel_id": "20529465"}, {"ref": "pallvipallvi/notebook-titanic-disaster", "kernel_id": "20266587"}, {"ref": "amiragamalyassin/assignment-10-amira-gamal", "kernel_id": "20068332"}, {"ref": "sharathchandravc/notebooka3be87ccdc", "kernel_id": "20541280"}, {"ref": "mennaafify/k-means-implementation", "kernel_id": "20055567"}, {"ref": "rezanematollahi/logistic-regression", "kernel_id": "20691616"}, {"ref": "roihezkiyahu/titanic-survival-prediction-top-8", "kernel_id": "20757415"}, {"ref": "talhademirezen/titanic-eda", "kernel_id": "20854477"}, {"ref": "carloslugosoto/myfirstmlmodel-titanic", "kernel_id": "20223271"}, {"ref": "ryanpalazini/titanic-survival-analysis", "kernel_id": "20997326"}, {"ref": "johnwoodbirch/factors-affecting-survival-on-titanic", "kernel_id": "20503667"}, {"ref": "zorankolega/ml-hw3", "kernel_id": "20994506"}, {"ref": "zorankolega/cap-5610-titanic", "kernel_id": "20562115"}, {"ref": "sasho2k/titanic-assignment", "kernel_id": "20787332"}, {"ref": "gcmadhan/data-science-in-titanic-dataset", "kernel_id": "20045259"}, {"ref": "kiranupase/knn-classification-on-titanic-dataset", "kernel_id": "20244399"}, {"ref": "sanasiddiq/first-code-titanic", "kernel_id": "20344564"}, {"ref": "boyla950/titanic-survival-classifier", "kernel_id": "20539994"}, {"ref": "cafelatte1/titanic-prediction-lightgbm-randomforest", "kernel_id": "20801125"}, {"ref": "omar22/notebook11e8273982", "kernel_id": "20468438"}, {"ref": "yunusbolukbas/titanic-disaster-analysis-ynsb", "kernel_id": "20809542"}, {"ref": "maninora/getting-started-with-titanic", "kernel_id": "20975681"}, {"ref": "anikamim/titanic-notebook", "kernel_id": "20281529"}, {"ref": "hamidalikhan/titanic-survival-predictions", "kernel_id": "20131500"}, {"ref": "farelarden/titanic-dicoding", "kernel_id": "20809701"}, {"ref": "sazidnur/titanic-notebook", "kernel_id": "20281543"}, {"ref": "arminar/titanic-survival-prediction", "kernel_id": "20276656"}, {"ref": "vasilevivan/titanic-ds-prediction", "kernel_id": "20396676"}, {"ref": "shefalishettyy/handling-skewness", "kernel_id": "20067212"}, {"ref": "buyuknacar/titanic-notebook", "kernel_id": "20237622"}, {"ref": "marikosawada/decision-tree-random-forest-with-titanic-in-r", "kernel_id": "20088885"}, {"ref": "mdemran312/titanic-using-lr-ls-312", "kernel_id": "20264329"}, {"ref": "mhnaeem/titanic-project", "kernel_id": "20240379"}, {"ref": "faezeabdoli/titanic-logisticre", "kernel_id": "20063972"}, {"ref": "alexravelo/raveloassignment0", "kernel_id": "20568319"}, {"ref": "eucalyptuss/titanic", "kernel_id": "20008550"}, {"ref": "syahreinritzwan/ml-who-survived-the-titanic", "kernel_id": "20982039"}, {"ref": "sindooramurthy/sindoora-titanic", "kernel_id": "20817764"}, {"ref": "omarsafwat/titanic", "kernel_id": "20649804"}, {"ref": "zouhirmkns/dealing-with-null-values-titanic", "kernel_id": "20735304"}, {"ref": "songhunhan/titanic", "kernel_id": "20837257"}, {"ref": "ruslansadykov/titanicruslansadykov", "kernel_id": "20035669"}, {"ref": "maxdiazbattan/titanic-top-4-competition-pipeline-version-1", "kernel_id": "20831658"}, {"ref": "maxdiazbattan/titanic-top-4-competition-pipeline-version-2", "kernel_id": "20219914"}, {"ref": "floydffernandes/titanic-competition", "kernel_id": "20265281"}, {"ref": "adityadawn/titanic-pre-processing-eda", "kernel_id": "20899622"}, {"ref": "marwankh/getting-started-with-titanic", "kernel_id": "20002254"}, {"ref": "tarushikhasharma/titanic-project1", "kernel_id": "20462974"}, {"ref": "dariakramarenko/titanic-mlr", "kernel_id": "20443991"}, {"ref": "deepakiupadhyay/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476938"}, {"ref": "blood174/rf-python1", "kernel_id": "20216901"}, {"ref": "ryan555/xgboost-svm-with-random-search-optimization", "kernel_id": "20728951"}, {"ref": "shaikamreen02/random-titanic-prediction", "kernel_id": "20429508"}, {"ref": "shaikamreen02/survived-pred-using-2-classifiers", "kernel_id": "20355869"}, {"ref": "wxixi123/wanglijie-201943398-titanic", "kernel_id": "20408791"}, {"ref": "gaganmaahi224/11-algos-titanic-prediction-eda-visualization", "kernel_id": "20867651"}, {"ref": "johanravail/my-titanic-solution-random-forest", "kernel_id": "20724252"}, {"ref": "nguyenduc810/titanic-randomforest", "kernel_id": "20349111"}, {"ref": "knightbearr/22-simple-python-program-knightbearr", "kernel_id": "20355342"}, {"ref": "knightbearr/python-cheat-sheet-knightbearr", "kernel_id": "20121331"}, {"ref": "maksym1ivanov/easy-way-top-2-titanic", "kernel_id": "20168389"}, {"ref": "starkkang/predcit-age-and-survived-from-titanic-data-set", "kernel_id": "20225197"}, {"ref": "arslangujjar/titanic-survival-from-disaster-classification", "kernel_id": "20684393"}, {"ref": "varunragul19mia1085/titanic-ml-python", "kernel_id": "20950380"}, {"ref": "daemonoj/getting-started-with-titanic", "kernel_id": "20858162"}, {"ref": "sezinnurerten/titanic-eda", "kernel_id": "20257666"}, {"ref": "sandhyakrishnan02/logistic-regression-titanic-dataset", "kernel_id": "20560398"}, {"ref": "mohamedelsrogy/titanic-eda-ml", "kernel_id": "20994335"}, {"ref": "ankita2002/titanic-solution-a-beginner-s-guide", "kernel_id": "20755395"}, {"ref": "mdazharulislam/titanic-sgd-lr-ls", "kernel_id": "20255399"}, {"ref": "nagaev1904/classification-problem-titanic", "kernel_id": "20331752"}, {"ref": "murph99/hw-0-cap4611", "kernel_id": "20792233"}, {"ref": "kylemauter1/tttinianic", "kernel_id": "20726731"}, {"ref": "santiagoacevedo/assignment-0", "kernel_id": "20729845"}, {"ref": "mahmoudadelelkahawy/titanic-solution", "kernel_id": "20646311"}, {"ref": "narendrasan/how-to-work-w-million-row-datasets-like-a-pro", "kernel_id": "20652847"}, {"ref": "arpitadaschaity/titanic-2327", "kernel_id": "20259192"}, {"ref": "victorsullivan/titanic-records", "kernel_id": "20613698"}, {"ref": "lumarcal/machine-learning-with-titanic", "kernel_id": "20096746"}, {"ref": "seungyongchoe/titanic-savior", "kernel_id": "20019123"}, {"ref": "sumaiya66/titanic-sumaiya", "kernel_id": "20241900"}, {"ref": "akshaydayanandan/titanic-machine-learning-from-disaster", "kernel_id": "20060853"}, {"ref": "mimrahman/titanic-ls-lr-sgd-2292", "kernel_id": "20259073"}, {"ref": "rakhi181352416/using-classification-model-on-titanic-dataset", "kernel_id": "20258660"}, {"ref": "faridtaghiyev/who-survived-on-titanic", "kernel_id": "20760238"}, {"ref": "liraexpedition/titanic", "kernel_id": "20007991"}, {"ref": "hongdnghuy/relu-sigmoid", "kernel_id": "20297610"}, {"ref": "amitchowdhury2475/titanic-sgd-lr-ls", "kernel_id": "20267062"}, {"ref": "cavlanyildirim/titanic", "kernel_id": "20969962"}, {"ref": "erenkoc4/titanic-exercise", "kernel_id": "20969669"}, {"ref": "rajwinder2000/titanic-code-beginners", "kernel_id": "20300490"}, {"ref": "akashsanjaywagh/logi-regression-for-titanic-dataset", "kernel_id": "20441879"}, {"ref": "akashsanjaywagh/dealing-with-nan-values-for-titanic-dataset", "kernel_id": "20600979"}, {"ref": "shoroouqalshal/titanic-for-quick-result-and-prediction", "kernel_id": "20523599"}, {"ref": "mouradtuto/notebook170b9e8a3c", "kernel_id": "20224032"}, {"ref": "dhirajkumar612/titanic-data-visualization", "kernel_id": "20467750"}, {"ref": "obeykhadija/top-10-titanic-survival-classification", "kernel_id": "20844757"}, {"ref": "saljuputih/saljuputih-titanic", "kernel_id": "20283535"}, {"ref": "rushmorganounza/titanic-challenge", "kernel_id": "20626672"}, {"ref": "saidgamal/titanic-final", "kernel_id": "20940171"}, {"ref": "jiya7316/titanic-using-logisticregression", "kernel_id": "20338072"}, {"ref": "jiya7316/titanic-using-descitiontree", "kernel_id": "20302560"}, {"ref": "jiya7316/titanic-using-na-ve-base-algorithm", "kernel_id": "20678064"}, {"ref": "hamzashamaseen/titanic-visualization-and-acc-97", "kernel_id": "20928117"}, {"ref": "navalchauhan/first-notebook", "kernel_id": "20166690"}, {"ref": "hugolearn/titanic-practice", "kernel_id": "20028940"}, {"ref": "shushrutsharma/titanic-survival-analysis-eda-classification", "kernel_id": "20560513"}, {"ref": "rhythmcam/make-sparse-matrix-by-ordinalencoder", "kernel_id": "20356716"}, {"ref": "rhythmcam/simple-is-best-onehot-encoding-by-onehotencoder", "kernel_id": "20357005"}, {"ref": "rhythmcam/automl-pycaret-lightgbm", "kernel_id": "20374387"}, {"ref": "rhythmcam/automl-pycaret-titanic-find-best-model", "kernel_id": "20380123"}, {"ref": "rhythmcam/titanic-automl-pycaret-test", "kernel_id": "20431903"}, {"ref": "rhythmcam/automl-pycaret-titanic-compare-model", "kernel_id": "20398342"}, {"ref": "rhythmcam/pivot-table-survived-by-sex-age-cut-pclass", "kernel_id": "20477802"}, {"ref": "rhythmcam/automatic-eda-tool-d-tale", "kernel_id": "20475835"}, {"ref": "rhythmcam/eda-tool-dataprep-titanic", "kernel_id": "20474799"}, {"ref": "rhythmcam/titanic-eda-by-automatic-eda-tool-sweetviz", "kernel_id": "20474033"}, {"ref": "rhythmcam/automatic-eda-tool-autoviz", "kernel_id": "20475595"}, {"ref": "rhythmcam/dataframe-null-check-and-fill-data-function", "kernel_id": "20484971"}, {"ref": "rhythmcam/column-type-check-number-string", "kernel_id": "20485377"}, {"ref": "rhythmcam/pandas-basic-loc-isin-list-usage", "kernel_id": "20146661"}, {"ref": "rhythmcam/stratifiedshufflesplit-stratified-shuffle", "kernel_id": "20565923"}, {"ref": "rhythmcam/simple-how-to-use-tdqm-in-pandas-progress-apply", "kernel_id": "20608540"}, {"ref": "rhythmcam/train-test-full-preprocessing-train2-train2", "kernel_id": "20630595"}, {"ref": "rhythmcam/r-titanic", "kernel_id": "20621803"}, {"ref": "rhythmcam/titanic-best-model-pipeline", "kernel_id": "20640484"}, {"ref": "rhythmcam/load-model-pipeline-logisticregression", "kernel_id": "20788486"}, {"ref": "rhythmcam/python-basic-pathlib-usage", "kernel_id": "20787746"}, {"ref": "rhythmcam/pandas-basic-select-columns-except-one-column", "kernel_id": "20785291"}, {"ref": "rhythmcam/simple-columntransformer-pipeline-model", "kernel_id": "20778879"}, {"ref": "rhythmcam/pandas-basic-convert-series-to-ndarray-and-list", "kernel_id": "20752492"}, {"ref": "rhythmcam/pandas-basic-reset-index-drop-true-meaning", "kernel_id": "20752241"}, {"ref": "rhythmcam/column-type-devide-function", "kernel_id": "20726426"}, {"ref": "rhythmcam/titanic-feature-statitics-plot-insight", "kernel_id": "20944238"}, {"ref": "rhythmcam/automatic-eda-tool-d-tale-tab-oct-2021", "kernel_id": "20943473"}, {"ref": "rhythmcam/prediction-using-tensorflow-keras-tuner", "kernel_id": "20966694"}, {"ref": "rhythmcam/rapids-cudf-xgboost-titanic-prediction", "kernel_id": "20974433"}, {"ref": "rhythmcam/function-fill-missing-age-with-name-titles", "kernel_id": "20960992"}, {"ref": "rhythmcam/automatic-eda-tool-profile-report-and-to-html", "kernel_id": "20951879"}, {"ref": "rhythmcam/randomforestclassifier-titanic", "kernel_id": "20988023"}, {"ref": "rhythmcam/xgbclassifier-gridsearchcv-titanic", "kernel_id": "20982413"}, {"ref": "rhythmcam/votingclassifier-pipeline-best-model", "kernel_id": "20855324"}, {"ref": "rhythmcam/pandas-basic-get-and-delete-outlier-rows", "kernel_id": "20826967"}, {"ref": "rhythmcam/counter-usage-letter-counting-library", "kernel_id": "20827244"}, {"ref": "rhythmcam/r-basic-add-data-frame-on-data-frame", "kernel_id": "20837528"}, {"ref": "rhythmcam/r-basic-fill-empty-data-label-encoding", "kernel_id": "20824554"}, {"ref": "rhythmcam/r-basic-data-by-selected-columns", "kernel_id": "20824327"}, {"ref": "rhythmcam/fast-ai-easy-eda-tabularpandas-titanic", "kernel_id": "20821158"}, {"ref": "rhythmcam/pytorch-titanic-very-simple-titanic", "kernel_id": "20809470"}, {"ref": "rhythmcam/columntransformer-pipeline-svc", "kernel_id": "20808451"}, {"ref": "rhythmcam/lightautoml-binary-tabularautoml-titanic", "kernel_id": "20805026"}, {"ref": "rhythmcam/pandas-basic-show-missing-data-table-function", "kernel_id": "20804095"}, {"ref": "rhythmcam/feature-importance-titanic", "kernel_id": "20797866"}, {"ref": "rhythmcam/keras-titanic-survival-predict-model", "kernel_id": "20799171"}, {"ref": "rhythmcam/votingclassifier-auto-pipeline-ensemble", "kernel_id": "20918687"}, {"ref": "rhythmcam/lgbmclassfier-pipeline-default-model", "kernel_id": "20886095"}, {"ref": "rhythmcam/xgboost-pipeline-default-model", "kernel_id": "20886817"}, {"ref": "rhythmcam/pca-lgbmclassfier-auto-pipeline", "kernel_id": "20888330"}, {"ref": "ritvikteja/dsci-633-assignment-3", "kernel_id": "20679940"}, {"ref": "kylethomson2/titanic-ml", "kernel_id": "20672902"}, {"ref": "sneha0706/titanicchallenge", "kernel_id": "20721338"}, {"ref": "harshjoshi66/titanic-survival-prediction-using-ml", "kernel_id": "20011866"}, {"ref": "brianfitzgibbon0/simple-hyperparameter-tuning-top-10", "kernel_id": "20982981"}, {"ref": "gruben117/titanic-deep-learning-with-autokeras", "kernel_id": "20362402"}, {"ref": "jeddbishop/data-exploration-machine-learning-titanic", "kernel_id": "20561820"}, {"ref": "smailboyaci/titanic-1", "kernel_id": "20287770"}, {"ref": "mohitkumar11/top-3-79-665-titanic-simple-logistic-regression", "kernel_id": "20627997"}, {"ref": "hedraatia/getting-started-with-titanic-by-hedra-atia", "kernel_id": "20038308"}, {"ref": "alicewulim/titanicxgboost", "kernel_id": "20005704"}, {"ref": "aminizahra/titanic-prediction-90-accuracy", "kernel_id": "20792161"}, {"ref": "aminizahra/titanic-prediction-decision-tree", "kernel_id": "20952001"}, {"ref": "aminizahra/titanic-prediction-knn", "kernel_id": "20812239"}, {"ref": "pralabhpoudel/titanic-survival-prediction-using-rfclassifier", "kernel_id": "20587754"}, {"ref": "psycronos/eren-titanic-data-set", "kernel_id": "20526373"}, {"ref": "nikhiln2312/titanic", "kernel_id": "20400931"}, {"ref": "vaitelix/ma-draft", "kernel_id": "20306345"}, {"ref": "ngfkf1vv5ot6/titanicbert", "kernel_id": "20101766"}, {"ref": "aasthavashist/titanic-ml", "kernel_id": "20865129"}, {"ref": "tahaakr/titanic-with-keras-tf", "kernel_id": "20697645"}, {"ref": "rkforramesh/titanic-survivor-prediction-simplified", "kernel_id": "20124899"}, {"ref": "dorianvoydie/automl-titanic", "kernel_id": "20244495"}, {"ref": "konstantinpluzhnikov/tm-xgboost-custom-loss-for-binary-classification", "kernel_id": "20418426"}, {"ref": "eliserocha/trying-the-titanic", "kernel_id": "20292470"}, {"ref": "okancan/titanic-dataset-with-ensemble-models", "kernel_id": "20218276"}, {"ref": "amrghetany/notebook40dcee52bc", "kernel_id": "20689744"}, {"ref": "nielsvandervelden/titanic-tidymodels-passenger-groupes-top-1", "kernel_id": "20029282"}, {"ref": "miyashitaryuma/titanic-lightgbm-kaggle", "kernel_id": "20149998"}, {"ref": "themehakagrawal/titanic-machine-learning-from-disaster", "kernel_id": "20144145"}, {"ref": "ippudkiippude/titanic-nb-with-eda-plotly", "kernel_id": "20329880"}, {"ref": "stevenyung/titanic-draft", "kernel_id": "20803097"}, {"ref": "cristinapreda/titanic-competition", "kernel_id": "20721787"}, {"ref": "kestontaylor/titanic-ml-attempt", "kernel_id": "20219651"}, {"ref": "michaelrogatinsky/assignment-0", "kernel_id": "20819231"}, {"ref": "adityasharmaop/titanic-notebook", "kernel_id": "20093233"}, {"ref": "vickysen/titanic-prediction-and-visualisation", "kernel_id": "20790645"}, {"ref": "vickysen/titanic-prediction-svm-99-9-accuracy", "kernel_id": "20902138"}, {"ref": "mikaeelzaidi/titanic-ml", "kernel_id": "20718453"}, {"ref": "pranavj20012000/titanic", "kernel_id": "20517526"}, {"ref": "jeetuttam/jk-notebook-titanic-case-study", "kernel_id": "20476081"}, {"ref": "eidmohamed8/notebookebf472015d", "kernel_id": "20586242"}, {"ref": "junhyeok99/titanic-tutorial-for-beginner", "kernel_id": "20478299"}, {"ref": "sanjanasrinivas73/an-interactive-data-science-tutorial", "kernel_id": "20379069"}, {"ref": "mostafatoema/titanic-competition", "kernel_id": "20453778"}, {"ref": "somyamangla/titanic-basic-solution-using-adaboost", "kernel_id": "20237317"}, {"ref": "estherreginaldyeboah/titanic-ery", "kernel_id": "20215287"}, {"ref": "bhavyamalikk/titanic-ml-logisticregression-81", "kernel_id": "20947035"}, {"ref": "ahmedelsaidy/titanic", "kernel_id": "20684209"}, {"ref": "azadehizadi/titanic-project-without-deep-learning", "kernel_id": "20918398"}, {"ref": "vitalykazinkin/notebook7215b03929", "kernel_id": "20354674"}, {"ref": "robinbaldeo/codes-for-titanic", "kernel_id": "20266484"}, {"ref": "amrelagoz/titanic-task", "kernel_id": "20675217"}, {"ref": "ahmadheshamzaki/titanic-survival-predictions", "kernel_id": "20806563"}, {"ref": "emrebor/titanic", "kernel_id": "20053392"}, {"ref": "dbcks1357/titanic-tutorial", "kernel_id": "20944836"}, {"ref": "upcdoge/titanic", "kernel_id": "20619814"}, {"ref": "narrapurnasanthosh/notebook20ba2d36d0", "kernel_id": "20593693"}, {"ref": "cantiryaki/titanic", "kernel_id": "20108509"}, {"ref": "prantapaul181352448/titanic", "kernel_id": "20265948"}, {"ref": "ambujt/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476933"}, {"ref": "madhavisurpani/notebook-submission1", "kernel_id": "20092958"}, {"ref": "ahmedyousrisobhi/titanic-model-v1", "kernel_id": "20687320"}, {"ref": "omarwafaay/fork-of-fork-of-titanic-basic-submission", "kernel_id": "20676114"}, {"ref": "fadyelgawly/titanic-ml1-task", "kernel_id": "20689547"}, {"ref": "mohamedbaghdad/titanic-ml1", "kernel_id": "20693766"}, {"ref": "mahmoudreda43/notebookf6b634ff82", "kernel_id": "20695474"}, {"ref": "mahitabsami/ml1-task", "kernel_id": "20534475"}, {"ref": "swetachaubey/titanic-solution-random-forest", "kernel_id": "20150333"}, {"ref": "wongwanni/titanic-prediction-gridsearchcv-svm", "kernel_id": "20158622"}, {"ref": "mohamedelshref/titanic-ml1", "kernel_id": "20947640"}, {"ref": "sanskarjain18/notebook3b5cfdc6e4", "kernel_id": "20032398"}, {"ref": "sanskarjain18/notebooke8f8680d60", "kernel_id": "20031140"}, {"ref": "mahmoudelshahapy/notebook5f9abedc44", "kernel_id": "20937110"}, {"ref": "luckykumar24/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476918"}, {"ref": "karamvirdewan/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476923"}, {"ref": "sarajsadanand/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476939"}, {"ref": "ibrahimmostafa/titanic-notebook", "kernel_id": "20408174"}, {"ref": "jonofields/adaboost-randomforest", "kernel_id": "20647162"}, {"ref": "prawn33/titanic-ml-from-disaster", "kernel_id": "20153854"}, {"ref": "seifeldinhaybat/fork-of-notebook71bda79840", "kernel_id": "20675184"}, {"ref": "saraelshatby/titanic-machine-learning-1", "kernel_id": "20650971"}, {"ref": "elghamry/titanic-disaster", "kernel_id": "20694986"}, {"ref": "mohamedkhaled201841/titanic-survival-prediction-model", "kernel_id": "20693132"}, {"ref": "heshamshereef/titanic-task", "kernel_id": "20690059"}, {"ref": "mostafaalaa123/simple-solution-for-titanic", "kernel_id": "20674943"}, {"ref": "amgadreda/titanic-notebook", "kernel_id": "20938263"}, {"ref": "ahmedelsayed1399/titanic-competition", "kernel_id": "20676175"}, {"ref": "ramsegaurav/evaluation-methods-for-classification-from-scratch", "kernel_id": "20913324"}, {"ref": "saliblue/titanic-multi-model", "kernel_id": "20319310"}, {"ref": "kateriina/ml-titanik", "kernel_id": "20695800"}, {"ref": "pritiyadavml/performance-of-multiple-algorithms-titanic", "kernel_id": "20957815"}, {"ref": "poojarokade/titanic-solution-lr-base-model-1", "kernel_id": "20455947"}, {"ref": "omarmohamedelgharib/eda-titanic", "kernel_id": "20630189"}, {"ref": "stst42/titanic-competition-with-r-and-tidymodels", "kernel_id": "20746149"}, {"ref": "yuktajain1711/titanic-survival-prediction", "kernel_id": "20625813"}, {"ref": "loayhamdy/titanic-ml1", "kernel_id": "20946416"}, {"ref": "sidharthangn/titanic-machine-learning-project", "kernel_id": "20239822"}, {"ref": "praburam1451/notebook74b43c6206", "kernel_id": "20905393"}, {"ref": "jeongkyulim/first-python-simple-7-models-and-tableau", "kernel_id": "20253791"}, {"ref": "muhammadelgindy/mohamed-elgindy-titanic", "kernel_id": "20948487"}, {"ref": "nesmakasemy/titanic-notebook", "kernel_id": "20945102"}, {"ref": "muhammadelemery/ml1-project", "kernel_id": "20937612"}, {"ref": "sharonotegaomovie/beginner-analysis-and-random-classifier", "kernel_id": "20469503"}, {"ref": "sumitks3/notebook344660e97f", "kernel_id": "20292652"}, {"ref": "shanthisreenivasan/titanic-solution-lr-base-model-1", "kernel_id": "20456008"}, {"ref": "orangecatman/scikit-learn", "kernel_id": "20823086"}, {"ref": "akshatrailaddha/titanic-competition-submission", "kernel_id": "20014163"}, {"ref": "ddojaewon/titanic-jw", "kernel_id": "20874375"}, {"ref": "nayakprerna/titanic-solution-lr-base-model-1-d5a665", "kernel_id": "20455970"}, {"ref": "neha86nj/titanic-solution-lr-base-model-1", "kernel_id": "20455969"}, {"ref": "ilavenilbalraj/titanic-solution-rf-base-model-1", "kernel_id": "20456070"}, {"ref": "shaikval/titanic-solution-rf-base-model-1", "kernel_id": "20455949"}, {"ref": "mralan4/getting-started-with-titanic", "kernel_id": "20190226"}, {"ref": "hardikjainn/titanic-82-68-accuracy", "kernel_id": "20482905"}, {"ref": "hamzamallouh/titanic", "kernel_id": "20136159"}, {"ref": "modestr/titanic-classification", "kernel_id": "20491658"}, {"ref": "mguinada/titanic-machine-learning-from-disaster-eda", "kernel_id": "20288265"}, {"ref": "tszyankam/useful-python-plots-cheatsheet", "kernel_id": "20309792"}, {"ref": "anderaraujo/titanic-preds-analisys", "kernel_id": "20832478"}, {"ref": "nohamoamary/ml1-titanic", "kernel_id": "20674197"}, {"ref": "liamdiack/eda-and-prediction", "kernel_id": "20627335"}, {"ref": "abdullah9862873/notebook1bab6de19c", "kernel_id": "20398611"}, {"ref": "melbahlun23/titanic-disaster-investigate", "kernel_id": "20674047"}, {"ref": "ayhamaramadan/model-trial", "kernel_id": "20620796"}, {"ref": "khaledwaelramzy/titanic-prediction", "kernel_id": "20247092"}, {"ref": "mgyokim/data-analysis-for-titanic", "kernel_id": "20022488"}, {"ref": "umarsabiu/my-first-ml-submission", "kernel_id": "20380502"}, {"ref": "mayarabdou/titanic-classification", "kernel_id": "20699307"}, {"ref": "nameisnone/getting-started-with-titanic", "kernel_id": "20842730"}, {"ref": "vishu810/titanic", "kernel_id": "20091447"}, {"ref": "itztarekragab/titanic-eda-modeling", "kernel_id": "20664612"}, {"ref": "ahmeddief/titanic", "kernel_id": "20443553"}, {"ref": "mohamedtahaabdelaziz/titanic-dataset", "kernel_id": "20937716"}, {"ref": "heshammorshedy/notebook024d844db4", "kernel_id": "20455023"}, {"ref": "heshammorshedy/notebook78886d2d02", "kernel_id": "20453777"}, {"ref": "abdelrhmanelkhouly/abdelrhman-elkhouly-titanic", "kernel_id": "20939415"}, {"ref": "abdelrahmanmedany/notebookca7d5da75d", "kernel_id": "20431704"}, {"ref": "abdelrahmanmedany/titanic-project", "kernel_id": "20940318"}, {"ref": "fadynasserfawzy/fadynasser-iti-g10-titanicproject", "kernel_id": "20430598"}, {"ref": "ayedali/notebook451b8cfb49", "kernel_id": "20443651"}, {"ref": "ayedali/notebookc03562fce1", "kernel_id": "20408308"}, {"ref": "khalidsobh/notebookc5f3c6b324", "kernel_id": "20971839"}, {"ref": "karimahmed93/titanic-competition", "kernel_id": "20450833"}, {"ref": "heshamhammam/titanic-iti-g10", "kernel_id": "20455195"}, {"ref": "marimwaleed/notebook97f1735ce8", "kernel_id": "20951726"}, {"ref": "asmaaelsherif/titanic-machine-learning", "kernel_id": "20653951"}, {"ref": "mirach21/titanic-classification-notebook", "kernel_id": "20342653"}, {"ref": "darmawanwijaya/survival-prediction-notebook", "kernel_id": "20590328"}, {"ref": "ehsanziadatascience/getting-started-with-titanic", "kernel_id": "20827637"}, {"ref": "cookie123123/notebookb0fae6ddcd", "kernel_id": "20401075"}, {"ref": "tanishka8979/titanicsurvived", "kernel_id": "20327032"}, {"ref": "andrewdahl/titanic-v1", "kernel_id": "20559152"}, {"ref": "kshitij7ranjan/titanic-prediction", "kernel_id": "20264876"}, {"ref": "mits23/getting-started-with-ml-30days-ml", "kernel_id": "20037366"}, {"ref": "ryanaellis/titanic-tensorflow-and-sklearn-examples", "kernel_id": "20843354"}, {"ref": "uniuniu/data-analysis-for-titanic", "kernel_id": "20634125"}, {"ref": "uniuniu/algorithm-concepts", "kernel_id": "20781743"}, {"ref": "lildatascientist/eda-of-students-performance-in-exams", "kernel_id": "20639810"}, {"ref": "lildatascientist/decision-tree-and-random-forest-from-scratch", "kernel_id": "20036909"}, {"ref": "lildatascientist/logistic-regression-from-scratch", "kernel_id": "20064853"}, {"ref": "lildatascientist/linear-regression-from-scratch", "kernel_id": "20066221"}, {"ref": "yassinezarwal/final-titanic", "kernel_id": "20396675"}, {"ref": "drstark/who-will-survive-the-next-titanic", "kernel_id": "20130772"}, {"ref": "ayushijain12345/titanic-survival-predict", "kernel_id": "20832461"}, {"ref": "bhindevishal/titanic-kaggle-final-keras-top-3-no-cheating", "kernel_id": "20620382"}, {"ref": "rrohin/titanic", "kernel_id": "20050023"}, {"ref": "jonblanchard/seaborn-visualizations-with-titanic-data", "kernel_id": "20562028"}, {"ref": "kjain25/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476914"}, {"ref": "mohsenpg/knn-classification-titanic", "kernel_id": "20781666"}, {"ref": "mohsenpg/logisticregression-on-titanic", "kernel_id": "20689094"}, {"ref": "mohsenpg/svm-on-titanic", "kernel_id": "20985589"}, {"ref": "jhonatatirloni/titanic-sunday-challenge", "kernel_id": "20650647"}, {"ref": "mahshidgohari21/titanic-machinelearning-top-1", "kernel_id": "20034729"}, {"ref": "gowrishankarp/only-python-dnn-one-hidden-layer", "kernel_id": "20282518"}, {"ref": "oushniksarkar/getting-started-with-titanic-randomforest", "kernel_id": "20322626"}, {"ref": "devarsheesandilya/titanic-task-catboost", "kernel_id": "20316768"}, {"ref": "pquan1/assignment-0", "kernel_id": "20731261"}, {"ref": "yaninacaffettimac/caffetti-titanic", "kernel_id": "20293719"}, {"ref": "marcwork/titanic-dataset-prediction", "kernel_id": "20566233"}, {"ref": "lleomiranda/titanic-decision-tree", "kernel_id": "20872762"}, {"ref": "lleomiranda/titanic-rlog-2", "kernel_id": "20919304"}, {"ref": "lleomiranda/titanic-navi-bayes", "kernel_id": "20895432"}, {"ref": "inoshin/inoshin-titanic-1", "kernel_id": "20076372"}, {"ref": "manaskhan25/titanic-survival", "kernel_id": "20049997"}, {"ref": "othmanmuhammad/titanic-competition", "kernel_id": "20848171"}, {"ref": "johnwillcox/getting-started-with-titanic", "kernel_id": "20372390"}, {"ref": "swarajkothekar/titanic", "kernel_id": "20993100"}, {"ref": "seyedalizia/notebookc58ec85350", "kernel_id": "20657693"}, {"ref": "dreams405/titanicsurvivalprediction", "kernel_id": "20272913"}, {"ref": "furkanocalann/titanic-dataset-analysis", "kernel_id": "20607634"}, {"ref": "hiroshiray142/titanic-classifier-bad-acc", "kernel_id": "20322678"}, {"ref": "trnt00/kaggle-01-30-days-be-in-top-4", "kernel_id": "20264372"}, {"ref": "alirezaeslami/notebook57e7c60c03", "kernel_id": "20607509"}, {"ref": "sajjadnajafi/logistic-regression-titanic", "kernel_id": "20739206"}, {"ref": "sajjadnajafi/titanic-knn", "kernel_id": "20771260"}, {"ref": "sajjadnajafi/titanic-decision-tree", "kernel_id": "20936451"}, {"ref": "sajjadnajafi/titanic-svm", "kernel_id": "20937554"}, {"ref": "sajjadnajafi/apply-all-classifiers-on-titanic", "kernel_id": "20948184"}, {"ref": "estergjsangkoy/data-mining-penjelasan", "kernel_id": "20083849"}, {"ref": "estergjsangkoy/data-mining-assignment-1", "kernel_id": "20161709"}, {"ref": "jearllyabputra/jearly-putra-titanic-data-set", "kernel_id": "20042963"}, {"ref": "mahyamahjoob/classification-algorithms-on-titanic-dataset", "kernel_id": "20807173"}, {"ref": "rezaaboohamzeh/filoger-week5-logestic-regression-titanicdataset", "kernel_id": "20739836"}, {"ref": "sickblad/titanic-machine-learning-from-disaster-sub", "kernel_id": "20221027"}, {"ref": "andrewhollands/titanic-notebook", "kernel_id": "20817254"}, {"ref": "robertboyd/testing", "kernel_id": "20898950"}, {"ref": "robertboyd/titanic", "kernel_id": "20794822"}, {"ref": "alperkaya0/titanic-randomforest", "kernel_id": "20263307"}, {"ref": "hvotbb/top-0-5-by-web-scraping", "kernel_id": "20333519"}, {"ref": "claudiorezytendean/tendean-claudio-rezy", "kernel_id": "20117947"}, {"ref": "claudiorezytendean/tendean-claudio-rezy-no-4", "kernel_id": "20128365"}, {"ref": "dfarinha/titanic-version-2", "kernel_id": "20033499"}, {"ref": "meenakshi28/notebook68e79a7b37", "kernel_id": "20047809"}, {"ref": "meenakshi28/fork-of-notebook68e79a7b37", "kernel_id": "20056481"}, {"ref": "juanpetertyuune/assignment-4-titanic-dataset", "kernel_id": "20169134"}, {"ref": "hero2021/getting-started-with-titanic2021", "kernel_id": "20027789"}, {"ref": "ferrenkalalo/notebook464aed8d53", "kernel_id": "20134530"}, {"ref": "ferrenkalalo/notebook94074656e3", "kernel_id": "20174836"}, {"ref": "shripadgarat/notebook85bfd579e3", "kernel_id": "20594459"}, {"ref": "janicemonica/titanic-janice-ass1lect6", "kernel_id": "20158547"}, {"ref": "christabellakainama/titanic-christabella-lec6-no4", "kernel_id": "20161653"}, {"ref": "anastaciakuron/assignment-1-data-mining-and-warehousing", "kernel_id": "20171677"}, {"ref": "rivaldoterok/titanic-terok-lec6-2", "kernel_id": "20158549"}, {"ref": "mariaatef130/tofii", "kernel_id": "20246283"}, {"ref": "benferaca/coding-2-working-with-data", "kernel_id": "20268073"}, {"ref": "septianorctumulo/septiano-tumulo-titanic-no-3", "kernel_id": "20083992"}, {"ref": "septianorctumulo/septiano-tumulo-titanic-no-4", "kernel_id": "20161419"}, {"ref": "folkenmarcello/titanic-analysis", "kernel_id": "20169777"}, {"ref": "folkenmarcello/titanic-dataset-analysis", "kernel_id": "20169828"}, {"ref": "vinivanisa/assignment1", "kernel_id": "20161751"}, {"ref": "vinivanisa/tandiseru-vini-vanisa", "kernel_id": "20135599"}, {"ref": "michelltene/titanic-michelltene", "kernel_id": "20100175"}, {"ref": "tesalonikawangania/titanic-wangania-lect6", "kernel_id": "20158352"}, {"ref": "keyziakumontoy/assignment-1-data-mining-and-warehousing", "kernel_id": "20171679"}, {"ref": "esterrotuatampubolon/assigment1", "kernel_id": "20175010"}, {"ref": "mniazianime/coding-2-working-with-data", "kernel_id": "20268087"}, {"ref": "mohitpadhy/titanic-using-voting-classifier", "kernel_id": "20058641"}, {"ref": "yashvmohod/coding-2-working-with-data-yash", "kernel_id": "20217711"}, {"ref": "ezaldeenalayed/titanic", "kernel_id": "20063073"}, {"ref": "aboodalasad/titanic", "kernel_id": "20064243"}, {"ref": "sabeenqadri/titanic", "kernel_id": "20064242"}, {"ref": "sabeenqadri/titanic-sabeen", "kernel_id": "20064599"}, {"ref": "nouraldeinyousef/titanic", "kernel_id": "20064244"}, {"ref": "samehalquasmeh/titanic-837546", "kernel_id": "20072483"}, {"ref": "jenanghaith/titanic", "kernel_id": "20064258"}, {"ref": "abdalrhmankhallouf/titanic", "kernel_id": "20118496"}, {"ref": "juoman/titanic-4bf62e", "kernel_id": "20064687"}, {"ref": "toddweidler/assignment-0-cap-4611", "kernel_id": "20672181"}, {"ref": "rydohg/cap4611-0-titanic", "kernel_id": "20695668"}, {"ref": "marktrinidad/assignment-0-trinidad", "kernel_id": "20792270"}, {"ref": "brunoebihara/notebookca390738ed", "kernel_id": "20560538"}, {"ref": "chelseaoshodi/assignment0-oshodi", "kernel_id": "20812177"}, {"ref": "josephmagrina/titanic-assignment-0", "kernel_id": "20585333"}, {"ref": "ethanjbailey/assignment-0", "kernel_id": "20748282"}, {"ref": "weiyichen9896/cap4611-a0", "kernel_id": "20771951"}, {"ref": "krisxuuu/krisxuuuu", "kernel_id": "20565781"}, {"ref": "yashgupta24/top-10-code-using-svm", "kernel_id": "20290071"}, {"ref": "sandeeprajarampawar/titanic-prediction", "kernel_id": "20082745"}, {"ref": "saumilagrawal10/titanic-passenger-survival-prediction-model", "kernel_id": "20529813"}, {"ref": "mahmoudnoreldien/notebookaba6946ebe", "kernel_id": "20236341"}, {"ref": "maherjamleh/titanic", "kernel_id": "20104554"}, {"ref": "claudiopmarcelino/titanic-analise-de-sobreviventes", "kernel_id": "20103047"}, {"ref": "yojik16016/titanic-by-shamaseen-87-train-acc-with-xbgoost", "kernel_id": "20603304"}, {"ref": "mehmetege/mhmtege-titanic-eda", "kernel_id": "20345205"}, {"ref": "kagglerrr1/in-top-3-titanic-machine-learning-from-disaster", "kernel_id": "20148344"}, {"ref": "anjoomnur/assignment1", "kernel_id": "20137371"}, {"ref": "ranamandouh/titanic-data-preprocessing", "kernel_id": "20561473"}, {"ref": "marcomungaicoppolino/top-4-5-titanic-svm-grid-search-and-mlp", "kernel_id": "20376053"}, {"ref": "paulamaran/titanic", "kernel_id": "20254784"}, {"ref": "samgogh/top-7-solution-automated-eda", "kernel_id": "20148908"}, {"ref": "sakshim25/titanic-solution-random-forest", "kernel_id": "20150342"}, {"ref": "anuradhavajrala/titanic-solution-random-forest", "kernel_id": "20150343"}, {"ref": "varshithashetty/titanic-solution-random-forest", "kernel_id": "20150546"}, {"ref": "shrutijhaa/in-top-3-titanic-machine-learning-from-disaster", "kernel_id": "20150991"}, {"ref": "adityashastri108/titanic-solution-random-forest", "kernel_id": "20150350"}, {"ref": "ramparveshsaini/titanic-solution-random-forest", "kernel_id": "20150337"}, {"ref": "divyavanism/titanic-solution-random-forest", "kernel_id": "20151136"}, {"ref": "liamwoodly/notebook5ea9a68ede", "kernel_id": "20226184"}, {"ref": "kondalb/notebookac7d41b4f0", "kernel_id": "20151410"}, {"ref": "kondalb/titanic-solution-random-forest", "kernel_id": "20241375"}, {"ref": "alicancittadini/in-top-3-titanic-machine-learning-from-disaster", "kernel_id": "20150294"}, {"ref": "enasragab/notebook2262001", "kernel_id": "20236210"}, {"ref": "mennamohammed/notebookde1abb25db", "kernel_id": "20236418"}, {"ref": "tarekmohamed19/notebook0fdc38bc93", "kernel_id": "20236367"}, {"ref": "thomasneuville/random-forest-classifiers-sklearn", "kernel_id": "20465503"}, {"ref": "codinghabbits/titanic-solution-random-forest", "kernel_id": "20163817"}, {"ref": "crispk/assignment-0", "kernel_id": "20669633"}, {"ref": "sumit02468/notebookcb73666315", "kernel_id": "20181373"}, {"ref": "sumit02468/randomforestalgo", "kernel_id": "20179056"}, {"ref": "wonyongyong/test0830", "kernel_id": "20174430"}, {"ref": "aryaaryan/in-top-3-titanic-machine-learning-from-disaster", "kernel_id": "20351061"}, {"ref": "liulinnongda/titanic", "kernel_id": "20178298"}, {"ref": "vladzhurkin/notebook-lab6", "kernel_id": "20206960"}, {"ref": "superadmin10/in-top-3-titanic-machine-learning-from-disaster", "kernel_id": "20208896"}, {"ref": "gerardamzn/cat-num-encoding-classifier", "kernel_id": "20414556"}, {"ref": "purushottam2211/titanic", "kernel_id": "20867766"}, {"ref": "florianmartinulaval/titanic-flo", "kernel_id": "20218872"}, {"ref": "romilkumar/titanic", "kernel_id": "20236414"}, {"ref": "guuslieben/titanic", "kernel_id": "20236366"}, {"ref": "gmglan/notebook348c8abfdc", "kernel_id": "20238373"}, {"ref": "nadsonsilva/titanic", "kernel_id": "20473237"}, {"ref": "aliasadzaheer/titanic-basic-solution-using-adaboost", "kernel_id": "20804015"}, {"ref": "denisdias/notebook801b4058ce", "kernel_id": "20243177"}, {"ref": "andresvelazquez/homework-0", "kernel_id": "20694341"}, {"ref": "asifpervezpolok/top8-very-simple-titanic-project", "kernel_id": "20475188"}, {"ref": "christostripodis/titanic-survival-kernel-svm-rfc-acc-83", "kernel_id": "20669203"}, {"ref": "aliyamuseyibova/titanic-model", "kernel_id": "20272614"}, {"ref": "aayush031/notebook89d7ed23ca", "kernel_id": "20291316"}, {"ref": "haobillylee/titanic-challenge", "kernel_id": "20443285"}, {"ref": "hadirezvandoost/notebook-h01", "kernel_id": "20888840"}, {"ref": "hagarfadl/titanic", "kernel_id": "20291988"}, {"ref": "mkrmayank/tinanic-notebook", "kernel_id": "20297728"}, {"ref": "timurtikhomirov/titanic-one-more-random-forest-solution", "kernel_id": "20331604"}, {"ref": "timurtikhomirov/titanic-without-machine-learning", "kernel_id": "20558937"}, {"ref": "simagh/titanic", "kernel_id": "20333176"}, {"ref": "seneralkan/advanced-feature-engineering", "kernel_id": "20927021"}, {"ref": "adinil/xgb-classifier", "kernel_id": "20948030"}, {"ref": "ajacksonv1/notebook9abbc6b2fb", "kernel_id": "20373375"}, {"ref": "olesyakolpakova/titanic", "kernel_id": "20767283"}, {"ref": "ryankendrick/simple-classification-lr-knn-dt-sgd", "kernel_id": "20769625"}, {"ref": "srisabarishkannanvp/day-1-titanic", "kernel_id": "20591160"}, {"ref": "joeywonpark/titanic", "kernel_id": "20698641"}, {"ref": "jialinzheng123/notebookdac7c5315e", "kernel_id": "20798518"}, {"ref": "mlkrys/titanic-machine-learning", "kernel_id": "20434269"}, {"ref": "cir2001/titanic-first-competition-top-3", "kernel_id": "20669669"}, {"ref": "melikedograr0/titanic-kernel", "kernel_id": "20425543"}, {"ref": "melikedograr0/dataiteam-titanic-eda", "kernel_id": "20510368"}, {"ref": "yaseensewani/getting-started-with-titanic-sewani", "kernel_id": "20755185"}, {"ref": "irinel01/titanic", "kernel_id": "20489717"}, {"ref": "matthewvoight/notebookd39bf3243b", "kernel_id": "20428245"}, {"ref": "youngguebae/yg-titanic", "kernel_id": "20544907"}, {"ref": "gawooklee/titanic-data-1", "kernel_id": "20434161"}, {"ref": "gawooklee/titanic-data", "kernel_id": "20432277"}, {"ref": "pikapikaachuuu/titanic", "kernel_id": "20784808"}, {"ref": "malaak/classic-titanic", "kernel_id": "20842869"}, {"ref": "subhashmahadev/titanic-solution-lr-base-model-1", "kernel_id": "20455973"}, {"ref": "majorpanther/titanic-basic-solution-using-adaboost", "kernel_id": "20455945"}, {"ref": "stutiraj16/titanic-solution-lr-base-model-1", "kernel_id": "20455959"}, {"ref": "gopalmengi/gopal-titanic-7", "kernel_id": "20620471"}, {"ref": "gopalmengi/gopal-titanic-3", "kernel_id": "20475284"}, {"ref": "gopalmengi/gopal-titanic-2", "kernel_id": "20473625"}, {"ref": "gopalmengi/gopal-titanic-1", "kernel_id": "20467221"}, {"ref": "oguzbozkurtmsc/titanik-egzersizleri", "kernel_id": "20969670"}, {"ref": "tugcecan/titanic-practice", "kernel_id": "20969681"}, {"ref": "mrjeanolivera/minha-introdu-o-ao-ml", "kernel_id": "20471355"}, {"ref": "nikhilkalsi/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476942"}, {"ref": "manasikalkotwar/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476909"}, {"ref": "jollyvarghese/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476931"}, {"ref": "kapilbhardwaj2/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476956"}, {"ref": "anandtiwari1/titanic-solution-using-random-forest-tool-r", "kernel_id": "20476937"}, {"ref": "nitishkhankriyal/titanic-solution-using-random-forest-tool-r", "kernel_id": "20955315"}, {"ref": "dxtxwork/titanic-solution-using-random-forest-tool-r", "kernel_id": "20477064"}, {"ref": "sigitirawan/titanic-beginner-prediction", "kernel_id": "20875189"}, {"ref": "yapayhackeruzmanl/titanik", "kernel_id": "20685712"}, {"ref": "youssefbadreldin/94-acuracy-on-the-final-predicted-result", "kernel_id": "20500550"}, {"ref": "bruhbear008/notebookc4bdeacdd8", "kernel_id": "20887207"}, {"ref": "umwarrior/titanic-3", "kernel_id": "20628943"}, {"ref": "umwarrior/titanic-2", "kernel_id": "20627779"}, {"ref": "umwarrior/titanic-4", "kernel_id": "20629007"}, {"ref": "umwarrior/titanic-5", "kernel_id": "20629116"}, {"ref": "umwarrior/titanic-6", "kernel_id": "20629331"}, {"ref": "umwarrior/titanic-8", "kernel_id": "20629610"}, {"ref": "umwarrior/titanic-1", "kernel_id": "20509044"}, {"ref": "emiliomr99/data-mining-exploratory-data-analysis", "kernel_id": "20992924"}, {"ref": "randbwill/titanic-competition-survival-prediction", "kernel_id": "20768799"}, {"ref": "chimaralavamshireddy/getting-started-with-titanic", "kernel_id": "20805630"}, {"ref": "bishnoisumit/titanic", "kernel_id": "20525346"}, {"ref": "petrewoods/titanic-exploratory-analysis", "kernel_id": "20560686"}, {"ref": "connect2mahesh/titanic-usingsomestatsforbeginners", "kernel_id": "20614437"}, {"ref": "datarohitingole/titanic-survival-prediction-catbootclassifier", "kernel_id": "20641550"}, {"ref": "datarohitingole/multiple-model-testing-svc-model-with-gridsearch", "kernel_id": "20660787"}, {"ref": "datarohitingole/xgboost-classifier-with-feature-scaling", "kernel_id": "20645677"}, {"ref": "datarohitingole/catboostclassifier-with-feature-scaling", "kernel_id": "20645544"}, {"ref": "datavisuals/volods-ml-practice", "kernel_id": "20569348"}, {"ref": "datavisuals/titanic-analysis", "kernel_id": "20569375"}, {"ref": "datavisuals/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20569407"}, {"ref": "subash1472001/subash", "kernel_id": "20553418"}, {"ref": "antoninabugayova/12345", "kernel_id": "20680322"}, {"ref": "vincetrencsnyi/titanic-first-attempt-at-kaggle", "kernel_id": "20555714"}, {"ref": "jn6213114018lyc/titanic-machine-learning-from-disaster-dl", "kernel_id": "20760768"}, {"ref": "grakercharms/titanic-rf-0-78947", "kernel_id": "20553731"}, {"ref": "devashishgupta09/titanic-submission-1", "kernel_id": "20560595"}, {"ref": "devashishgupta09/titanic-submittion-3", "kernel_id": "20639225"}, {"ref": "theinberg/assignment-0-titanic", "kernel_id": "20675631"}, {"ref": "melodyhalbert/assignment0", "kernel_id": "20723626"}, {"ref": "josephjstewart0101/titanic-josephstewart", "kernel_id": "20793094"}, {"ref": "shirnava22/titanic-notebook", "kernel_id": "20790589"}, {"ref": "ohmygoshyash/assignment-0", "kernel_id": "20559718"}, {"ref": "gagandshivamadhu/fork-of-titanic-submission-1001791865", "kernel_id": "20872714"}, {"ref": "gagandshivamadhu/titanic-submission-1001791865", "kernel_id": "20794912"}, {"ref": "chrystianorren/assignment-0", "kernel_id": "20698165"}, {"ref": "kirkmatthews/titanic-submission", "kernel_id": "20795627"}, {"ref": "karledwardbayron/bayron-titanic", "kernel_id": "20564422"}, {"ref": "paulvicino/cap4611-assignment-0", "kernel_id": "20792183"}, {"ref": "adriancooper13/cap4611-assignment0", "kernel_id": "20676837"}, {"ref": "zacharykirksey/cap-4611-assignment-0", "kernel_id": "20565699"}, {"ref": "lllchak/titanic-prediction-rf", "kernel_id": "20570381"}, {"ref": "carloshueve/r-titanic", "kernel_id": "20624704"}, {"ref": "jakeush/titanic-machine-learning", "kernel_id": "20609885"}, {"ref": "rojatsharma/titanic-machine-learning", "kernel_id": "20610053"}, {"ref": "muhammadahmadali1422/notebook7640a45ab6", "kernel_id": "20584591"}, {"ref": "iamhassanali/titanic-basic-solution", "kernel_id": "20582836"}, {"ref": "dpswann/cap4611-assignment00", "kernel_id": "20820719"}, {"ref": "raymondprice/assignment-0", "kernel_id": "20681667"}, {"ref": "dylantilley/titanic-notebook-models", "kernel_id": "20774475"}, {"ref": "davidhranicky/assignment0", "kernel_id": "20607913"}, {"ref": "rohitsbhalerao/titanic-disaster-rohit-bhalerao", "kernel_id": "20621220"}, {"ref": "kadamgopaal/r-titanic", "kernel_id": "20625443"}, {"ref": "stephanhartig/notebookc70aecdb78", "kernel_id": "20717700"}, {"ref": "cbermudez13/assignment0-carlos-bermudez", "kernel_id": "20723699"}, {"ref": "nicolaseltenn/titanic", "kernel_id": "20821435"}, {"ref": "radhauppuganti/getting-started-with-titanic", "kernel_id": "20647517"}, {"ref": "vijaystroup/titanic", "kernel_id": "20631882"}, {"ref": "santigut123/titanic-machine-learning", "kernel_id": "20744006"}, {"ref": "minhngo24/getting-started-with-titanic-mn", "kernel_id": "20669012"}, {"ref": "sahillshaikh/titanic-logistic-regression-with-python", "kernel_id": "20661547"}, {"ref": "subrahmanyajoshi/titanic-disaster-survival", "kernel_id": "20890816"}, {"ref": "cydniturner/titanic-tutorial", "kernel_id": "20650053"}, {"ref": "delrbaucf/cap4664-delrba-hw0", "kernel_id": "20650350"}, {"ref": "aileenpongnon/assignment-0", "kernel_id": "20700890"}, {"ref": "yoonseul/basic-classification-machine-learning-project", "kernel_id": "20809952"}, {"ref": "angelmendez00/titanic-competition", "kernel_id": "20665283"}, {"ref": "sambiz/day1-titanic", "kernel_id": "20655009"}, {"ref": "sergeyshevelev/titanic", "kernel_id": "20838061"}, {"ref": "maryragozina/notebookfcf6b0364c", "kernel_id": "20810987"}, {"ref": "hamzahullah/ullahhamzah-assignment00", "kernel_id": "20772011"}, {"ref": "sarahclawson/getting-started-with-titanic", "kernel_id": "20672989"}, {"ref": "trevormongar/assignment-0", "kernel_id": "20716751"}, {"ref": "mariyagoliyad/new-study-of-titanic-ml-prediction", "kernel_id": "20865877"}, {"ref": "mokujiny/kernel2daedmokujiny", "kernel_id": "20670204"}, {"ref": "tarassusyk/notebook617c945ece", "kernel_id": "20670372"}, {"ref": "brandonporcella/assignment-0-submission", "kernel_id": "20817284"}, {"ref": "bujizen/getting-started-with-the-titanic", "kernel_id": "20673561"}, {"ref": "azurda/titanic", "kernel_id": "20671761"}, {"ref": "raquelguzman32/assignment-0", "kernel_id": "20790961"}, {"ref": "kurtoid/assignment0", "kernel_id": "20671476"}, {"ref": "dylansauerbrun/assignment0-titanic", "kernel_id": "20725111"}, {"ref": "jeremytatis/a0-titanic", "kernel_id": "20819370"}, {"ref": "gonenmatias/assignment-1-titanic", "kernel_id": "20671591"}, {"ref": "gac2001/afml-assignment-0", "kernel_id": "20671725"}, {"ref": "jonathangiat/titanicnotebook", "kernel_id": "20800948"}, {"ref": "masonbenell/titanic", "kernel_id": "20753561"}, {"ref": "grantlee11/grant-s-getting-started-with-titanic", "kernel_id": "20774928"}, {"ref": "alexthib/titanic-alexandre-thibault", "kernel_id": "20684957"}, {"ref": "martinpovda/titanic-model-proposal", "kernel_id": "20686055"}, {"ref": "jacobbetts/hw0-titanic-jacob-betts", "kernel_id": "20816220"}, {"ref": "alexandersuarez7898/assignment0", "kernel_id": "20691901"}, {"ref": "bhaskar1991phukan/titanic-solution-using-random-forest-tool-r", "kernel_id": "20693729"}, {"ref": "piercepowell/assignment-0", "kernel_id": "20694558"}, {"ref": "ryanblack1/ryan-black-titanic-tutorial", "kernel_id": "20812136"}, {"ref": "chrisleite/cap4611-assignment-0-titanic", "kernel_id": "20795811"}, {"ref": "aidanagee/aidan-agee-getting-started-with-titanic", "kernel_id": "20696380"}, {"ref": "jamiehenry07/titanic-assignment-0", "kernel_id": "20769618"}, {"ref": "juaniggyblanco/homework-0", "kernel_id": "20798916"}, {"ref": "moumed/97-score-of-titanic-challenge-with-sgdc", "kernel_id": "20998651"}, {"ref": "danishmithani/analysis-of-titanic-data", "kernel_id": "20698545"}, {"ref": "jackbailey/getting-started-with-titanic-jack-bailey", "kernel_id": "20698917"}, {"ref": "nitinlimhan/ml-hw4-t1-nl", "kernel_id": "20753106"}, {"ref": "nitinlimhan/titanic-challenge", "kernel_id": "20749087"}, {"ref": "charley1234/hw0-ml", "kernel_id": "20699390"}, {"ref": "willowhearne/cap4611-assignment0", "kernel_id": "20724869"}, {"ref": "christophergray2/assignment-0-titanic", "kernel_id": "20701787"}, {"ref": "christopherstephens/assignment-0", "kernel_id": "20705982"}, {"ref": "dongjianhua/notebookee3e3a7a73", "kernel_id": "20728333"}, {"ref": "willortiz/notebook8bed13f5c5", "kernel_id": "20717073"}, {"ref": "nitinar1/titanic-solution-using-random-forest-tool-r", "kernel_id": "20992063"}, {"ref": "joeybarr/assignment-0", "kernel_id": "20817139"}, {"ref": "blertcamili/assignment-0", "kernel_id": "20819805"}, {"ref": "alejandroherrada/cap4611-homework-0", "kernel_id": "20724644"}, {"ref": "norbeytorres/fork-of-assignment-0-norbey-torres", "kernel_id": "20725964"}, {"ref": "carlossanchezruiz/titanic-competition-carlos-sanchez-ruiz", "kernel_id": "20726519"}, {"ref": "guillermofonseca/sklearn-w-pipelines-transformers-and-fine-tuning", "kernel_id": "20775993"}, {"ref": "winter04/winter-titanic-tutorial", "kernel_id": "20903608"}, {"ref": "skylarmarosi/machine-learning-assignment-0", "kernel_id": "20799265"}, {"ref": "marshallmason/assignment-0", "kernel_id": "20730189"}, {"ref": "ethankaplan/my-cap4611-hw0", "kernel_id": "20824063"}, {"ref": "eypsercanuygur/eypsrcnuygr-titanic", "kernel_id": "20793597"}, {"ref": "stanleyminervini/titanic-homework-0", "kernel_id": "20739090"}, {"ref": "julianlondono5565/titanic-machine-learning", "kernel_id": "20744876"}, {"ref": "jonathancirillo/jonathan-titanic", "kernel_id": "20743245"}, {"ref": "sainalla/assignment0-sairamnalla", "kernel_id": "20744381"}, {"ref": "juliavann/titanicassignment", "kernel_id": "20746458"}, {"ref": "ioannioann/titanic-passenger-survival-prediction-model", "kernel_id": "20746286"}, {"ref": "mauriciofmcosta/cap4611-assignment-0", "kernel_id": "20746944"}, {"ref": "tristankline/titanic-notebook", "kernel_id": "20772602"}, {"ref": "julianboaz/cap4611-hw0", "kernel_id": "20746942"}, {"ref": "karielsanchezruiz/titanic-machine-learning", "kernel_id": "20746959"}, {"ref": "robertderienzo/fork-of-titanic-learning-ml-ucf-f792e1", "kernel_id": "20838104"}, {"ref": "robertderienzo/titanic-learning-ml-ucf", "kernel_id": "20748480"}, {"ref": "ahmeducf/assignment-zero", "kernel_id": "20748833"}, {"ref": "fernandoplata/cap4611-assignment-0", "kernel_id": "20752316"}, {"ref": "chiaraperez/titanic-prediction-using-decision-tree", "kernel_id": "20877503"}, {"ref": "omarshalaby1/cap4611-hw0", "kernel_id": "20753658"}, {"ref": "allecpereira/hw0-titanic", "kernel_id": "20754938"}, {"ref": "noahlaw/law-noah-titanic-notebook", "kernel_id": "20754068"}, {"ref": "barakovnikolay/notebookc78a65e4f6", "kernel_id": "20761862"}, {"ref": "tahsinislam/titanic-competition", "kernel_id": "20756200"}, {"ref": "phillipzou/assignment-0", "kernel_id": "20771438"}, {"ref": "nicholasbtran/assignment-0", "kernel_id": "20770961"}, {"ref": "andrewcuevas/titanic-assignment-0", "kernel_id": "20773831"}, {"ref": "edwardtran8745/assignment-0", "kernel_id": "20774723"}, {"ref": "abhinavkantamaneni/titanic-tutorial", "kernel_id": "20774929"}, {"ref": "jacobfranz/jacob-franz-assignment-0", "kernel_id": "20776804"}, {"ref": "britneybaron/assignment-0", "kernel_id": "20776969"}, {"ref": "tylerbornemann/cap4611-hw0", "kernel_id": "20812030"}, {"ref": "vigneshkrushnamurthy/notebook-1", "kernel_id": "20961987"}, {"ref": "adi2685/aditya-garde3", "kernel_id": "20972526"}, {"ref": "jatower/cap-4611-assignment-0", "kernel_id": "20788837"}, {"ref": "dylanstump/titanic", "kernel_id": "20789299"}, {"ref": "winstonriley/notebook604a6145c4", "kernel_id": "20791632"}, {"ref": "allenpereria/notebook5a6bb19d5f", "kernel_id": "20792513"}, {"ref": "reclephmere/notebook5a51f50c79", "kernel_id": "20795795"}, {"ref": "ttongucf/assignment-0-titanic", "kernel_id": "20792215"}, {"ref": "tristinyoung/titanic-nb-tristin-young", "kernel_id": "20794032"}, {"ref": "andrewjmartyn/assignment-0", "kernel_id": "20794901"}, {"ref": "mosesafrane/titanic", "kernel_id": "20794688"}, {"ref": "ryandelvecchio/titanic", "kernel_id": "20796881"}, {"ref": "danielcouch/assignment0", "kernel_id": "20799806"}, {"ref": "yortroy/titanic", "kernel_id": "20797260"}, {"ref": "daltonkajander/assignment-0", "kernel_id": "20797776"}, {"ref": "robertlawucf/robert-law-assign-0-the-procrastination-sensation", "kernel_id": "20823441"}, {"ref": "edwardseward/notebook1dc12ac7ec", "kernel_id": "20798326"}, {"ref": "vijayalakshmipunuru/assignment-titanic", "kernel_id": "20798891"}, {"ref": "varshinikasukurthi/assignment-1", "kernel_id": "20850001"}, {"ref": "bryceahitchcock/assignment0", "kernel_id": "20801586"}, {"ref": "mylescaesar/titanic", "kernel_id": "20809341"}, {"ref": "woodyowens/assignment0-titanic", "kernel_id": "20812979"}, {"ref": "erichartwell/assignment0", "kernel_id": "20814579"}, {"ref": "wintertime2/titanic-hw0", "kernel_id": "20814190"}, {"ref": "pedropereiradasilva/titanic", "kernel_id": "20815863"}, {"ref": "donaldjanschroder/assignment-0", "kernel_id": "20815595"}, {"ref": "matthewdahbar/assignment-0", "kernel_id": "20815920"}, {"ref": "benjaminawerner/titanicbenjaminwerner", "kernel_id": "20817823"}, {"ref": "carlosbeltranucf/ucf-machine-learning-assignment-0", "kernel_id": "20817630"}, {"ref": "bhargavama/term-project-tutorial", "kernel_id": "20873302"}, {"ref": "sam13243/notebook6cfccd014d", "kernel_id": "20819525"}, {"ref": "davidkipikash/assignment-0-titanic", "kernel_id": "20819892"}, {"ref": "shawnguydeene/cap4611-assignment-0-guydeene", "kernel_id": "20819995"}, {"ref": "danielw48/assignment-0-daniel-west-real", "kernel_id": "20820893"}, {"ref": "josepuche/notebookb91b1bf84b", "kernel_id": "20823159"}, {"ref": "elisasoraya/first-ml-project", "kernel_id": "20828058"}, {"ref": "denny1911/denny-titanic-tutorial", "kernel_id": "20897714"}, {"ref": "nvidiartx/notebookc409cc5104", "kernel_id": "20910759"}, {"ref": "gustavokremer/desafio-titanic-gustavo-kremer", "kernel_id": "20871465"}, {"ref": "rohithpeta/titanic-intro", "kernel_id": "20848193"}, {"ref": "romafatima/getting-started-with-titanic", "kernel_id": "20851306"}, {"ref": "shashankrbhatia/getting-started-with-titanic", "kernel_id": "20861074"}, {"ref": "rishithg/getting-started-with-titanic", "kernel_id": "20872075"}, {"ref": "rishithg/titanic-intro", "kernel_id": "20873258"}, {"ref": "nikita9975/titanic-prediction-1", "kernel_id": "20925395"}, {"ref": "pranavbadgujar21/titanic-assignment", "kernel_id": "20907459"}, {"ref": "jugalbudhlani/titanic-jugal-budhlani", "kernel_id": "20923627"}, {"ref": "architkhewle/notebook101", "kernel_id": "20914147"}, {"ref": "akhileshnatekar/mysubmission", "kernel_id": "20913568"}, {"ref": "cedricjung/titanic-c-dric-jung", "kernel_id": "20926414"}, {"ref": "clempech/kernel6301a08b7d", "kernel_id": "20926407"}, {"ref": "damienlahay/kernel6301a08b7d", "kernel_id": "20926648"}, {"ref": "yashkumarshinde/titanic-d-38", "kernel_id": "20943261"}, {"ref": "denizaytacc/beginner-titanic-end-to-end-notebook-top-6", "kernel_id": "20967315"}, {"ref": "faisalmoizhussain/titanic-havoc-survival-predictor", "kernel_id": "20938768"}, {"ref": "ruslansikhamov/titanic", "kernel_id": "20948616"}, {"ref": "onionzzz/notebook956c84661f", "kernel_id": "20974539"}, {"ref": "kaushalmunde/notebook8ad0c5f5f6", "kernel_id": "20982381"}, {"ref": "rairishabh/notebookbbba468609", "kernel_id": "20988699"}, {"ref": "ashutoshdongarwar1/titanic-problem-achieved-accuracy-77-99", "kernel_id": "20994544"}, {"ref": "bmk1979/week-6-and-7-hw-titanic", "kernel_id": "21308085"}, {"ref": "nulldata/trying-my-titanic-luck-with-pycaret-automl", "kernel_id": "21098019"}, {"ref": "solegalli/feature-engineering-pipeline-and-hyperparam-tuning", "kernel_id": "21249646"}, {"ref": "solegalli/feature-engineering-with-randomized-search", "kernel_id": "21395342"}, {"ref": "jsdae1/titanic-test", "kernel_id": "21984208"}, {"ref": "zvadim/zvadym-titanic", "kernel_id": "21124484"}, {"ref": "rajamykaggle/simple-eda-with-one-line-code", "kernel_id": "21638533"}, {"ref": "tapalappa/catweasel-using-catboost-on-titanic-dataset", "kernel_id": "21609812"}, {"ref": "rumasinha/stepbystepworkingwithdata", "kernel_id": "21546457"}, {"ref": "peterlovejin/notebook94e9b5f8aa", "kernel_id": "21062025"}, {"ref": "leaphys/titanic-top-4-with-ensemble-modeling", "kernel_id": "21857189"}, {"ref": "kanizz/titanic-random-forest-classifier", "kernel_id": "21833511"}, {"ref": "shivampandit/titanic", "kernel_id": "21322395"}, {"ref": "ashishg25911/titanic-logistic-regression-version-2", "kernel_id": "21687674"}, {"ref": "narek1110/notebook4646034fea", "kernel_id": "21728717"}, {"ref": "randomrabbits/titanic-1-knn7", "kernel_id": "21673084"}, {"ref": "christodoulos/titanic-k-nearest-neighbors-from-scratch", "kernel_id": "21401346"}, {"ref": "muhammetkole/grid-search-cross-validation-example-for-hp-tuning", "kernel_id": "21393250"}, {"ref": "beguiola/knn-titanic-r", "kernel_id": "21339110"}, {"ref": "utkarshbajaj/titanic-project-ub", "kernel_id": "21476623"}, {"ref": "csherman1/cs-100-data-science", "kernel_id": "21327376"}, {"ref": "yashk1/titanic-eda", "kernel_id": "21153529"}, {"ref": "rahmathidayat/titanic-modeling", "kernel_id": "21286405"}, {"ref": "slythe/infamous-titanic-80-accuracy", "kernel_id": "21170245"}, {"ref": "blighpark/py-t1-1-iqr-expected-questions", "kernel_id": "21495054"}, {"ref": "blighpark/t2-1-titanic-simple", "kernel_id": "21956885"}, {"ref": "blighpark/r-t1-1-iqr-bligh-park", "kernel_id": "21663999"}, {"ref": "tofujuice/titanic-grid-search", "kernel_id": "21868553"}, {"ref": "aikaggle1/bayes", "kernel_id": "21323568"}, {"ref": "ginv18/mla2-gvalverde-6", "kernel_id": "21128718"}, {"ref": "bhargavs1/first-kaggle-notebook", "kernel_id": "21768767"}, {"ref": "lutfiye/eda-and-modeling-of-titanic-dataset", "kernel_id": "21075548"}, {"ref": "bjorkwall/titanic", "kernel_id": "21713561"}, {"ref": "palmer0/iuma-bn-classifier-titanic-pyagrum", "kernel_id": "21210247"}, {"ref": "dndus9600/py-t1-1-iqr-clederon", "kernel_id": "21489228"}, {"ref": "kevinheng/titanic-machine-learning-from-disaster", "kernel_id": "21821198"}, {"ref": "heokw815/t2-1-titanic-simple", "kernel_id": "21949068"}, {"ref": "heokw815/1-titanic-datasets", "kernel_id": "21644042"}, {"ref": "sakshi1303/titanic-eda", "kernel_id": "21609153"}, {"ref": "yasirarfat/titanic-machine-learning-from-disaster", "kernel_id": "21373148"}, {"ref": "cloycebox/titanic-submission-cjp-01", "kernel_id": "21457853"}, {"ref": "cloycebox/cjp-titanic-v01", "kernel_id": "21412989"}, {"ref": "eryash15/titanic-disaster-sklearn", "kernel_id": "21166924"}, {"ref": "superfeyza/titanic-analysis", "kernel_id": "21586326"}, {"ref": "tutama/mci-titanic-ml-introduction-fall-2021", "kernel_id": "21351531"}, {"ref": "spacemonkeyclan/titanic", "kernel_id": "21747080"}, {"ref": "buggemot/titanic-eda-classification", "kernel_id": "21140581"}, {"ref": "agileteam/t2-1-titanic-simple-baseline", "kernel_id": "21806899"}, {"ref": "agileteam/py-t1-1-iqr-expected-questions", "kernel_id": "21058402"}, {"ref": "yasmeenasaad/titanic-survivors", "kernel_id": "21317859"}, {"ref": "yosusan/python-de-manabu-yosuzuki", "kernel_id": "21801208"}, {"ref": "yashrajshrestha/notebooke2bf2e739d", "kernel_id": "21202347"}, {"ref": "ayhampar/simple-function-to-find-missing-values", "kernel_id": "21289330"}, {"ref": "ayhampar/simple-function-to-replace-missing-values", "kernel_id": "21954818"}, {"ref": "derrelldsouza/regression-analysis-with-pytorch-titanic-dataset", "kernel_id": "21669258"}, {"ref": "gouthamsingh/survival-prediction", "kernel_id": "21002426"}, {"ref": "stpeteishii/titanic-first-pytorch", "kernel_id": "21559628"}, {"ref": "positivehun/t2-1-titanic-simple-d39e5e", "kernel_id": "21960445"}, {"ref": "positivehun/py-t1-1-iqr-expected-questions", "kernel_id": "21584183"}, {"ref": "amitzala/my-first-titanic-submission", "kernel_id": "21249002"}, {"ref": "mgerdas/survival-prediction", "kernel_id": "21763900"}, {"ref": "subinlab/titanic-random-foreset", "kernel_id": "21979923"}, {"ref": "jennaward6/jw-titanic-v01", "kernel_id": "21402136"}, {"ref": "jennaward6/jw-titanic-submission-v1", "kernel_id": "21475231"}, {"ref": "bnzaretzky/bz-titanic-v01", "kernel_id": "21381643"}, {"ref": "bnzaretzky/bz-titanic-submission", "kernel_id": "21359161"}, {"ref": "yalcinmehmet/g-rselle-tirme-5-10-march", "kernel_id": "21117163"}, {"ref": "yalcinmehmet/models", "kernel_id": "21449992"}, {"ref": "harshjhunjhunwala/starter-guide-to-trees-boosting-and-bagging", "kernel_id": "21577800"}, {"ref": "sudhakar51/titanic-rfc-some-analysis-on-ticket", "kernel_id": "21374940"}, {"ref": "rushabh7cr/titanic", "kernel_id": "21597471"}, {"ref": "wltjd54/py-t1-1-iqr-expected-questions", "kernel_id": "21662290"}, {"ref": "wltjd54/t2-1-titanic-simple", "kernel_id": "21954709"}, {"ref": "finemax/t1-1-iqr", "kernel_id": "21439820"}, {"ref": "komari1123/titanic-eda", "kernel_id": "21459459"}, {"ref": "sumedhpatil/titanic-pp-1", "kernel_id": "21013151"}, {"ref": "sumedhpatil/notebooka-scikit", "kernel_id": "21004031"}, {"ref": "vitorgamalemos/central-tendency-statistical-learning", "kernel_id": "21903837"}, {"ref": "jpunior0/titanic-logistic-regression", "kernel_id": "21579479"}, {"ref": "vishgaur/exploratory-data-analysis-on-titanic-dataset", "kernel_id": "21585688"}, {"ref": "abdulaziz7/pandas-groupby-sorting-more-manipulation", "kernel_id": "21468719"}, {"ref": "abdulaziz7/visualization-with-seaborn", "kernel_id": "21470078"}, {"ref": "abdulaziz7/pandas-filtering", "kernel_id": "21320140"}, {"ref": "abdulaziz7/pandas-intro", "kernel_id": "21314800"}, {"ref": "abdulaziz7/machine-learning-workflow-classification-basic", "kernel_id": "21832273"}, {"ref": "jananikariyawasam/eda-for-titanic-survival-factors", "kernel_id": "21157412"}, {"ref": "simonteuwens/titanic-comparing-random-forest-and-svm", "kernel_id": "21370206"}, {"ref": "henjoyy/t2-1-titanic-simple", "kernel_id": "21872276"}, {"ref": "henjoyy/py-t1-1-iqr-expected-questions", "kernel_id": "21676511"}, {"ref": "feicccccccc/getting-started-with-titanic", "kernel_id": "21272447"}, {"ref": "hadeux/kor-simple-xgboost-ml", "kernel_id": "21420594"}, {"ref": "hadeux/titanic-survivor-predict-eda-lightgbm-kor-eng", "kernel_id": "21359650"}, {"ref": "hadeux/kor-eng-eda-ensemble-model", "kernel_id": "21725789"}, {"ref": "jonasnggg/kaggle-titanic-model-notebook", "kernel_id": "21389317"}, {"ref": "shinjk/myfirst-titanic-challenge-ipynb", "kernel_id": "21310186"}, {"ref": "tulasiram574/titanic-predictions", "kernel_id": "21209080"}, {"ref": "gmarnold/cs-100-data-science-140978", "kernel_id": "21328323"}, {"ref": "mkouchakzadeh/notebook94da2fd3c4", "kernel_id": "21149757"}, {"ref": "ogbonnachiedo/randomforest-titanic-prediction-gh1", "kernel_id": "21232060"}, {"ref": "mehwishaman/notebooka0f82957b1", "kernel_id": "21916412"}, {"ref": "osemds/first-titanic-and-also-kaggle-attempt", "kernel_id": "21316171"}, {"ref": "carlmcbrideellis/titanic-in-pure-h2o-ai", "kernel_id": "21206880"}, {"ref": "arootda/titanic-eda-modeling-for-beginners-top3", "kernel_id": "21908637"}, {"ref": "arootda/the-basic-process-of-classification", "kernel_id": "21687051"}, {"ref": "raulrprado/second-attempt-all-about-features", "kernel_id": "21448435"}, {"ref": "mkaraiklan/202110-titanic-competition", "kernel_id": "21384633"}, {"ref": "alexkali/aa-titanic-submission", "kernel_id": "21459058"}, {"ref": "alexkali/a-a-titanic-v01", "kernel_id": "21458657"}, {"ref": "umairbinmansoor/titanic-tensorflow", "kernel_id": "21115704"}, {"ref": "dmitryzaykov/logistic-regression-0-77", "kernel_id": "21205155"}, {"ref": "vimalpillai/titanic-predictions-in-progress", "kernel_id": "21294242"}, {"ref": "rubenhaswinsa/titanic-neural-network", "kernel_id": "21582317"}, {"ref": "stb61307/notebook-titanic-20211025", "kernel_id": "21312181"}, {"ref": "mohomadhalaldeen/titanic-challenge", "kernel_id": "21988732"}, {"ref": "shikameow/training-to-work-with-pandas", "kernel_id": "21196147"}, {"ref": "muhammadhumair/getting-started-with-titanic", "kernel_id": "21204513"}, {"ref": "satyajitmaitra/classification", "kernel_id": "21303643"}, {"ref": "talinmittal/titanic-predictions-through-the-eyes-of-a-beginner", "kernel_id": "21649182"}, {"ref": "mukeshmanral/feature-engineering-dataset-2-basic", "kernel_id": "21158519"}, {"ref": "fragkoulislogothetis/titanic-neural-network-for-beginners", "kernel_id": "21945611"}, {"ref": "mohamedziauddin/kg-titanic-survivalpred-pipe", "kernel_id": "21018659"}, {"ref": "bextuychiev/model-explainability-with-shap-only-guide-u-need", "kernel_id": "21050276"}, {"ref": "bextuychiev/how-to-touch-into-heart-of-matplotlib-a-create", "kernel_id": "21143773"}, {"ref": "bextuychiev/25-numpy-functions-you-never-knew-existed", "kernel_id": "21336444"}, {"ref": "rudimarengel/titac", "kernel_id": "21357488"}, {"ref": "neerajkaroshi/titanic-comp", "kernel_id": "21467650"}, {"ref": "sarathchandra1993/notebookcc1952e974", "kernel_id": "21246732"}, {"ref": "fabiovaz/titanic-randomforest", "kernel_id": "21428310"}, {"ref": "irajahangari/logistic-regression-for-titanic-data", "kernel_id": "21470638"}, {"ref": "kashishrastogi/sweet-charts-hand-painted", "kernel_id": "21500969"}, {"ref": "youseefmoemen/titanic", "kernel_id": "21452205"}, {"ref": "zeeshannehal/notebook561423ecca", "kernel_id": "21446821"}, {"ref": "ohseokkim/preprocessing-encoding-categorical-data", "kernel_id": "21470139"}, {"ref": "ohseokkim/creditcard-fraud-balance-is-key-feat-pycaret", "kernel_id": "21427437"}, {"ref": "ohseokkim/titanic-missing-and-small-data-are-disaster", "kernel_id": "21654757"}, {"ref": "pedrorfigueiredo/titanic-saudosos", "kernel_id": "21988167"}, {"ref": "vivovinco/titanic-endless-predictions", "kernel_id": "21479878"}, {"ref": "vrajm1209/titanic-ml-model", "kernel_id": "21208150"}, {"ref": "taniaferreira/titanic-my-resolution", "kernel_id": "21809311"}, {"ref": "vijayshankar756/titanic", "kernel_id": "21333954"}, {"ref": "natigmamishov/titanic-eda-fe-svc-0-80622", "kernel_id": "21687955"}, {"ref": "bhavinmoriya/beginner-s-titanic-models-and-optuna", "kernel_id": "21597081"}, {"ref": "pathanamjadkhan/eda-fe-votingclassification-80", "kernel_id": "21525008"}, {"ref": "pathanamjadkhan/titanic-2", "kernel_id": "21381825"}, {"ref": "williamaung/titanicml", "kernel_id": "21158376"}, {"ref": "reubenlee/titanic-dataset-modelling", "kernel_id": "21981054"}, {"ref": "reubenlee/titanic-dataset-eda", "kernel_id": "21940048"}, {"ref": "naoyatakei/kaggle-4", "kernel_id": "21384917"}, {"ref": "saramanrriquez/sm-titanic-submission", "kernel_id": "21451186"}, {"ref": "saramanrriquez/sm-titanic-v01", "kernel_id": "21450873"}, {"ref": "lordozvlad/titanic-automl-with-intel-extension-for-sklearn", "kernel_id": "21233865"}, {"ref": "monkeydjack/taitan", "kernel_id": "21374905"}, {"ref": "tracyporter/c10-titanic-udemy-improve-score", "kernel_id": "21386179"}, {"ref": "tracyporter/c10-titanic-udemy-improve-robust-score", "kernel_id": "21484454"}, {"ref": "rohjoshi828/easy-titanic-analysis", "kernel_id": "21372380"}, {"ref": "showeed/begginer-eda-pandas-profiling", "kernel_id": "21193191"}, {"ref": "showeed/automatic-parameter-setting-optuna-stady", "kernel_id": "21013902"}, {"ref": "mahmoudeldesuky/predicting-the-survived-using-logistic-regression", "kernel_id": "21019386"}, {"ref": "vansyk15/titanic", "kernel_id": "21414501"}, {"ref": "biki28/titanic-survival", "kernel_id": "21555371"}, {"ref": "syedjaferk/titanic-detailed-eda-with-model-comparisons", "kernel_id": "21580092"}, {"ref": "thomasswain/titanic-classifier", "kernel_id": "21282570"}, {"ref": "suraj29may/notebook671ce1c818", "kernel_id": "21957490"}, {"ref": "ankitkalauni/beginner-understanding-on-dimension-reduction", "kernel_id": "21095658"}, {"ref": "samijaadar/logisticregression-titanic", "kernel_id": "21328262"}, {"ref": "mohsinchaudhary/titanic-machine-learning-from-disaster", "kernel_id": "21428215"}, {"ref": "kgxiao/titanic-eda-svm-recall-score-83", "kernel_id": "21749100"}, {"ref": "kartikeychauhan/titanic-competition", "kernel_id": "21288807"}, {"ref": "enigmak/tabnet-deep-neural-network-for-tabular-data", "kernel_id": "21467079"}, {"ref": "farizhaykal/titanic-prediction-ann", "kernel_id": "21289403"}, {"ref": "ksaweryfryczyski/ds-ml", "kernel_id": "21994782"}, {"ref": "ivanshingel/titanic-77-5-legal", "kernel_id": "21215430"}, {"ref": "clotin/titanic-disaster-first-notebook", "kernel_id": "21901520"}, {"ref": "faridrizqis/titanic-predict-survival-rf-xgb-nn", "kernel_id": "21011313"}, {"ref": "miladagdam/titanic-gridientboosting-random-forest", "kernel_id": "21051915"}, {"ref": "kayajones/cs-100-data-science", "kernel_id": "21329236"}, {"ref": "sanketkalode/titanic", "kernel_id": "21564020"}, {"ref": "cptbomba/titanic-random-forest-with-grid-search", "kernel_id": "21731938"}, {"ref": "msimunovic/notebook5624228b55", "kernel_id": "21440600"}, {"ref": "xuziyibnu/marmota", "kernel_id": "21005654"}, {"ref": "alimusabeyoglu/titanic-eda", "kernel_id": "21490027"}, {"ref": "aklimarimi/conv2d-vs-separableconv2d", "kernel_id": "21347175"}, {"ref": "aklimarimi/titanic-94-randomforest", "kernel_id": "21428591"}, {"ref": "veribilimci000/eda-titanic", "kernel_id": "21256188"}, {"ref": "zhuhaibin/learn-of-compile", "kernel_id": "21989022"}, {"ref": "alishaangdembe/titanic", "kernel_id": "21035472"}, {"ref": "syedhaideralizaidi/titanic-machine-learning-from-disaster", "kernel_id": "21692180"}, {"ref": "lovarajupalli/notebookebe3f25f56", "kernel_id": "21525503"}, {"ref": "harshinisk/titanic-survivor-prediction", "kernel_id": "21147097"}, {"ref": "jeongbinpark/titanic-tutorial-pytorch", "kernel_id": "21875407"}, {"ref": "mariannejoyleano/ml-titanic-v01", "kernel_id": "21458091"}, {"ref": "mariannejoyleano/ml-titanic-submission", "kernel_id": "21458118"}, {"ref": "phongphattharasiri/titanic", "kernel_id": "21067423"}, {"ref": "phongphattharasiri/titanic-phongphattharasiri", "kernel_id": "21065618"}, {"ref": "kashyabambarani/titanic-challenge", "kernel_id": "21924830"}, {"ref": "tomods/fastautoml-pycaret-gpu", "kernel_id": "21655497"}, {"ref": "tomods/for-beginner-shadowing-code-and-submit", "kernel_id": "21047485"}, {"ref": "tomods/how-to-see-there-are-not-enough-amount-of-data", "kernel_id": "21108867"}, {"ref": "bobachubs/titanicworkshop", "kernel_id": "21995154"}, {"ref": "jasonwang0907/notebookd3f386f2f3", "kernel_id": "21465744"}, {"ref": "rizkynindra/titanic-extraction", "kernel_id": "21030150"}, {"ref": "bhanujoshkakarla/titanic-ml", "kernel_id": "21139957"}, {"ref": "nathanboulogne/titanic", "kernel_id": "21345485"}, {"ref": "codewithdaniel1/dp-eda-titanic-oct21", "kernel_id": "21410069"}, {"ref": "codewithdaniel1/dp-submission-titanic-oct21", "kernel_id": "21376090"}, {"ref": "subodhbharadwaj/titanic-ml-prediction", "kernel_id": "21197820"}, {"ref": "gflopes/getting-started-with-titanic", "kernel_id": "21219168"}, {"ref": "shubhambhatt623/titanic-eda-model-building-adaboost-dt-rr-lr", "kernel_id": "21845621"}, {"ref": "ghulamhaider0123/titanic-challenge", "kernel_id": "21031337"}, {"ref": "rockarolla/my-first-notebook", "kernel_id": "21125729"}, {"ref": "hyojungshin/py-t1-1-iqr-expected-questions", "kernel_id": "21654465"}, {"ref": "hyojungshin/t2-1-titanic-simple", "kernel_id": "21957924"}, {"ref": "hyojungshin/py300-part1-1-heart-failure-clinical-records", "kernel_id": "21974015"}, {"ref": "lethinhuquynh/le-thi-nhu-quynh", "kernel_id": "21439104"}, {"ref": "officialsubhash/titanic-survival-prediction", "kernel_id": "21058911"}, {"ref": "methoomirza/titanic-eda", "kernel_id": "21071859"}, {"ref": "methoomirza/titanic-prediction", "kernel_id": "21705546"}, {"ref": "kadambaripatil/getting-started-with-titanic", "kernel_id": "21839434"}, {"ref": "kiranclement/titanic-feature-engineering-model-submision", "kernel_id": "21871650"}, {"ref": "ajiiscbanglore/titanic-dataset-random-forest", "kernel_id": "21242614"}, {"ref": "kishorekumar08/titanic-survival", "kernel_id": "21082357"}, {"ref": "saadbadr/titanic-ml", "kernel_id": "21984752"}, {"ref": "dlwogns1114/titanic", "kernel_id": "21442158"}, {"ref": "aldrinbrillante/aldrin-brillante-ml-final-project", "kernel_id": "21128666"}, {"ref": "monleo/using-decision-tree-model", "kernel_id": "21468723"}, {"ref": "tanishsawant2002/ml-tutorial", "kernel_id": "21819341"}, {"ref": "facundofacio/my-first-submission-titanic", "kernel_id": "21696107"}, {"ref": "michaellutz/basic-prediction", "kernel_id": "21597159"}, {"ref": "anastasiyaefimova/top-7-titanic-competition-solution-from-beginner", "kernel_id": "21084963"}, {"ref": "georgesaavedra/titanic-competition", "kernel_id": "21973702"}, {"ref": "ahmedmohamedmahrous/titanic-eda-all-ml-models", "kernel_id": "21740253"}, {"ref": "drbeane/abc-titanic-v01", "kernel_id": "21156184"}, {"ref": "passakornmoolsao/titanic-survival", "kernel_id": "21145044"}, {"ref": "uelepaga/titanic-ml-exercise", "kernel_id": "21403504"}, {"ref": "dmitriyivkov/titanic-knn-with-names-1", "kernel_id": "21768436"}, {"ref": "jueun1617gmailcom/titanic-lgbm", "kernel_id": "21192179"}, {"ref": "jueun1617gmailcom/titanic", "kernel_id": "21030988"}, {"ref": "xingaku/test-ds", "kernel_id": "21750036"}, {"ref": "srikanthrvp/logistic-rigression", "kernel_id": "21934984"}, {"ref": "bennyfung/titanic-lightgbm", "kernel_id": "21024191"}, {"ref": "bennyfung/titanic-random-forest", "kernel_id": "21013380"}, {"ref": "dariostrazzari/notebook8a639ab919", "kernel_id": "21822061"}, {"ref": "mohannapd/titanic-predictor-with-97-accuracy", "kernel_id": "21493018"}, {"ref": "mohammadhossein77/titanic-xgb-gridsearch", "kernel_id": "21163499"}, {"ref": "anatoliygatt/titanic-machine-learning-from-disaster", "kernel_id": "21258965"}, {"ref": "kaviml/attention-to-the-fare-and-ticket-columns", "kernel_id": "21688003"}, {"ref": "hoikinyu/titanic-random-forest-with-married-group-211008", "kernel_id": "21082619"}, {"ref": "odins0n/titanic-27-different-models-comparison", "kernel_id": "21376153"}, {"ref": "fktr00/wish-me-luck-for-titanic", "kernel_id": "21309952"}, {"ref": "vihaans/code-exe-titanic-2", "kernel_id": "21424103"}, {"ref": "yongjoonchang/t2-1-titanic-simple", "kernel_id": "21960854"}, {"ref": "yongjoonchang/py-t1-1-iqr-expected-questions", "kernel_id": "21493156"}, {"ref": "beren01/getting-started-with-titanic-survival-predictions", "kernel_id": "21589373"}, {"ref": "jasmitmahajan/titanic-assignment-cs4650-main-version", "kernel_id": "21790856"}, {"ref": "jasmitmahajan/titanic-assignment-cs4650", "kernel_id": "21789995"}, {"ref": "juliorsleite/titanic-xgboost-pipeline-bayes-randomizedsearchcv", "kernel_id": "21103981"}, {"ref": "amythecoolest/ww-titanic-v05", "kernel_id": "21382700"}, {"ref": "tigranmelikyan/getting-started-with-titanic", "kernel_id": "21813737"}, {"ref": "gaganmaahi224/automation-of-eda-self-written-code", "kernel_id": "21799917"}, {"ref": "gaganmaahi224/automation-of-matplotlib-self-written-code", "kernel_id": "21838114"}, {"ref": "gaganmaahi224/introduction-automation-of-null-value-treatment", "kernel_id": "21908174"}, {"ref": "gaganmaahi224/seaborn-tutorial-17-plots", "kernel_id": "21560388"}, {"ref": "gaganmaahi224/4-auto-eda-and-3-auto-ml-libraries", "kernel_id": "21397239"}, {"ref": "ajayuser/titanic-problem", "kernel_id": "21273161"}, {"ref": "mazenafify/decision-tree-with-some-comments-on-labelencoder", "kernel_id": "21124667"}, {"ref": "yasiradoan/eda-with-titanic", "kernel_id": "21636763"}, {"ref": "mertyalcindag/titanic-eda", "kernel_id": "21535087"}, {"ref": "geekynerd1224/titanic-model-survivor", "kernel_id": "21241558"}, {"ref": "dayatdc/practice-titanic-project-ml", "kernel_id": "21817503"}, {"ref": "sagarbapodara/titanic-svm-randomforest-81-accuracy", "kernel_id": "21535388"}, {"ref": "shiromeow/titanic-with-deep-learning", "kernel_id": "21016283"}, {"ref": "dolylupec/ensembling-stacking-in-python-korean-ver", "kernel_id": "21527444"}, {"ref": "ahmetsarc/titaniceda-1", "kernel_id": "21757428"}, {"ref": "osamarf/titanic-survivals-prediction-classification", "kernel_id": "21292475"}, {"ref": "flaviopmds/titanic-classificacao", "kernel_id": "21599316"}, {"ref": "fallantbell/titanic-mlp-with-age-prediction", "kernel_id": "21448131"}, {"ref": "fokase/titanic-competition", "kernel_id": "21059472"}, {"ref": "josetomaslavinleon/titanic-jt", "kernel_id": "21944723"}, {"ref": "natthapoltia/titanic-project-v6000final", "kernel_id": "21195514"}, {"ref": "diontrevorcastellino/8592-aisc-7-1", "kernel_id": "21648868"}, {"ref": "siddharthaborgohain/titanic-dataset", "kernel_id": "21106698"}, {"ref": "siddharthaborgohain/getting-started-with-titanic", "kernel_id": "21600122"}, {"ref": "emknowles/ek-titanic-submission-v02", "kernel_id": "21523275"}, {"ref": "emknowles/ek-titanic-v01", "kernel_id": "21460705"}, {"ref": "alekseisemerikov/titanic-logistic-regression", "kernel_id": "21302667"}, {"ref": "imcr00z/getting-started-with-titanic", "kernel_id": "21427410"}, {"ref": "agustinlehmann/titanic", "kernel_id": "21691436"}, {"ref": "saradpokleeb/titanic-machine-learning", "kernel_id": "21015119"}, {"ref": "king1997lll/ascde", "kernel_id": "21148472"}, {"ref": "milanmarkovic9019/tutorial-titanic", "kernel_id": "21125426"}, {"ref": "vedantnilabh/titanic-deep-learning-classifier", "kernel_id": "21417608"}, {"ref": "drewstanowski/as-training-and-model-selection", "kernel_id": "21432113"}, {"ref": "drewstanowski/as-titanic-submission", "kernel_id": "21474201"}, {"ref": "vemulaganesh/titanic-survival-prediction", "kernel_id": "21005291"}, {"ref": "rhythmcam/lgbmclassifier-draw-feature-importance", "kernel_id": "21133467"}, {"ref": "rhythmcam/tpu-tensorflow-titanic", "kernel_id": "21140201"}, {"ref": "rhythmcam/h2o-automl-titanic-prediction", "kernel_id": "21047966"}, {"ref": "rhythmcam/save-and-load-model-with-joblib", "kernel_id": "21011531"}, {"ref": "rhythmcam/automl-pycaret-catboost", "kernel_id": "21023819"}, {"ref": "rhythmcam/pandas-basic-get-columns-except-some-columns", "kernel_id": "21067293"}, {"ref": "rhythmcam/column-unit-encoding-function-age-fare", "kernel_id": "21090868"}, {"ref": "rhythmcam/pandas-basic-iterrows-vs-itertuples", "kernel_id": "21086341"}, {"ref": "rhythmcam/randomforest-model-remix-model-stacking", "kernel_id": "21098779"}, {"ref": "rhythmcam/randomforest-model-remix-model-creation", "kernel_id": "21097460"}, {"ref": "rhythmcam/gaussianprocessclassifier-prediction", "kernel_id": "21121128"}, {"ref": "rhythmcam/tensorflow-prediction", "kernel_id": "21123117"}, {"ref": "rhythmcam/pycaret-kfold-stacking-feat-lgbm", "kernel_id": "21483183"}, {"ref": "rhythmcam/lightgbm-hyperparameter-tuning-pycaret", "kernel_id": "21462580"}, {"ref": "rhythmcam/titanic-quick-preprocessing", "kernel_id": "21496152"}, {"ref": "rhythmcam/titanic-zscore-outlier-detection", "kernel_id": "21520981"}, {"ref": "rhythmcam/histgradientboosting-prediction", "kernel_id": "21427768"}, {"ref": "rhythmcam/baggingclassifier-auto-pipeline", "kernel_id": "21412626"}, {"ref": "rhythmcam/gradientboosting-prediction", "kernel_id": "21440956"}, {"ref": "rhythmcam/columntransformer-pipeline-linearsvc", "kernel_id": "21339070"}, {"ref": "rhythmcam/randomizedsearchcv-feature-importance", "kernel_id": "21290175"}, {"ref": "rhythmcam/gridsearchcv-lgbm-titanic", "kernel_id": "21917736"}, {"ref": "rhythmcam/gridsearchcv-adaboost-titanic", "kernel_id": "21880217"}, {"ref": "rhythmcam/gridsearchcv-xgb-titanic", "kernel_id": "21884022"}, {"ref": "rhythmcam/gridsearchcv-extratrees-titanic", "kernel_id": "21871794"}, {"ref": "rhythmcam/ensemble-voting-titanic", "kernel_id": "21852646"}, {"ref": "rhythmcam/gridsearchcv-gbm-titanic", "kernel_id": "21869503"}, {"ref": "rhythmcam/gridsearchcv-randomforest-titanic", "kernel_id": "21869234"}, {"ref": "rhythmcam/gridsearchcv-ensemble-voting-titanic", "kernel_id": "21864108"}, {"ref": "rhythmcam/custom-model-basic-customregressor", "kernel_id": "21828421"}, {"ref": "rhythmcam/pandas-basic-concat-usage", "kernel_id": "21819011"}, {"ref": "rhythmcam/automl-mljar-custom-titanic", "kernel_id": "21817749"}, {"ref": "rhythmcam/auto-qcut-labeling", "kernel_id": "21806270"}, {"ref": "rhythmcam/auto-cut-labeling", "kernel_id": "21798190"}, {"ref": "rhythmcam/titanic-onetime-preprocessing", "kernel_id": "21976461"}, {"ref": "rhythmcam/gridsearchcv-pipeline-lgbm-titanic", "kernel_id": "21928931"}, {"ref": "rhythmcam/autopipeline-gridsearchcv-xgb-titanic", "kernel_id": "21931382"}, {"ref": "rhythmcam/gridsearchcv-catboost-titanic", "kernel_id": "21933102"}, {"ref": "rhythmcam/autogluon-titanic-oop-version", "kernel_id": "21652139"}, {"ref": "rhythmcam/pandas-basic-dataframe-series-round", "kernel_id": "21652346"}, {"ref": "rhythmcam/autogluon-titanic", "kernel_id": "21648808"}, {"ref": "rhythmcam/flaml-automl-prediction", "kernel_id": "21601665"}, {"ref": "rhythmcam/automl-mljar-titanic", "kernel_id": "21617479"}, {"ref": "rhythmcam/automl-tpot-titanic", "kernel_id": "21634463"}, {"ref": "rhythmcam/automl-mljar-oop-version", "kernel_id": "21641393"}, {"ref": "rhythmcam/pandas-basic-nth-meaning", "kernel_id": "21580106"}, {"ref": "rhythmcam/keras-basic-titanic", "kernel_id": "21792110"}, {"ref": "rhythmcam/automl-optuna-xgb-titanic", "kernel_id": "21740676"}, {"ref": "rhythmcam/nn-keras-titanic", "kernel_id": "21716996"}, {"ref": "rhythmcam/automl-mljar-optuna-titanic", "kernel_id": "21712413"}, {"ref": "rhythmcam/numpy-basic-unique-return-counts-usage", "kernel_id": "21689809"}, {"ref": "rhythmcam/automl-search-best-titanic-model", "kernel_id": "21686340"}, {"ref": "apichaihongpaibul/titanic-workshop", "kernel_id": "21701193"}, {"ref": "partoshahroodi/titanic-notebook-how-to", "kernel_id": "21429208"}, {"ref": "sandeepbelamagi/titanic-survival-with-multiple-modules", "kernel_id": "21381742"}, {"ref": "younghlee/titanic-exploratory-data-analysis", "kernel_id": "21248638"}, {"ref": "younghlee/titanic-preprocessing-and-modeling", "kernel_id": "21332811"}, {"ref": "yenaaa/t2-1-titanic-yenaaa", "kernel_id": "21963007"}, {"ref": "lydiaryu/t2-1-titanic-simple", "kernel_id": "21953528"}, {"ref": "lydiaryu/py-t1-1-iqr-expected-questions", "kernel_id": "21611436"}, {"ref": "leopoldtchomgwi/lt-titanic-submission-v01", "kernel_id": "21368855"}, {"ref": "leopoldtchomgwi/lt-titanic-v01", "kernel_id": "21445723"}, {"ref": "leopoldtchomgwi/fork-of-lt-titanic-v01", "kernel_id": "21474021"}, {"ref": "maujmishra/titanic-project-using-knn", "kernel_id": "21533890"}, {"ref": "akshaydani/logistic-regression-with-titanic-dataset", "kernel_id": "21637939"}, {"ref": "ariellenapadensky/titanic-oren-arielle", "kernel_id": "21499689"}, {"ref": "nikhilsatani/notebook22e71cbb8b", "kernel_id": "21278157"}, {"ref": "angelicaurr/titanic-machine-learning-from-disaster", "kernel_id": "21378716"}, {"ref": "nongnurniemohdnistah/newfile", "kernel_id": "21000245"}, {"ref": "pragyanbeuria/titan-survival-prediction", "kernel_id": "21288391"}, {"ref": "watcher2747/titanic-knn-and-linear-regression", "kernel_id": "21710790"}, {"ref": "saijyotitripathy/logistic-regression-beginner", "kernel_id": "21376749"}, {"ref": "jaipawar/titanic-classification", "kernel_id": "21408250"}, {"ref": "juanmafg/titanic-competition", "kernel_id": "21436199"}, {"ref": "fjvincentatabay/titanic-prediction-using-classification-tree", "kernel_id": "21713221"}, {"ref": "gauravsamudra/gs-titanic-v01", "kernel_id": "21381616"}, {"ref": "gauravsamudra/gs-titanic-submission", "kernel_id": "21382292"}, {"ref": "suguruchhaya/getting-started-with-titanic", "kernel_id": "21651341"}, {"ref": "megannichols/megan-nichols-titanic-v01", "kernel_id": "21385984"}, {"ref": "megannichols/megan-nichols-titanic-submission", "kernel_id": "21386003"}, {"ref": "sannyalmridul/notebookf8fbd0749f", "kernel_id": "21200227"}, {"ref": "daveyjo/notebook641ba758a1", "kernel_id": "21090338"}, {"ref": "gittamadesuengsiri/titanic-analysis-and-machine-learning-project", "kernel_id": "21732236"}, {"ref": "ahmedabdelmonim/titanic", "kernel_id": "21197900"}, {"ref": "ashitaggarwal1986/titanic", "kernel_id": "21156305"}, {"ref": "marcosmansur/complete-eda-tatinic-dataset", "kernel_id": "21190694"}, {"ref": "tomastekle/my-first-ml-project", "kernel_id": "21433771"}, {"ref": "lukas3155/fork-of-notebook758c14aa8f", "kernel_id": "21909346"}, {"ref": "akhtarfarheen97/titanic-ml-from-disaster", "kernel_id": "21786776"}, {"ref": "robertjanbodewes/titanic-machine-learning-from-disaster-top-2", "kernel_id": "21499553"}, {"ref": "keerthirudrakshula/logistic-regression-titanic-using-pca", "kernel_id": "21738297"}, {"ref": "wumingyang/plb-0-815-top3-done-by-single-model", "kernel_id": "21200769"}, {"ref": "delroylow/gam-approach-to-the-titanic-prediction-problem", "kernel_id": "21704654"}, {"ref": "chirchil159/titanic-shibalov", "kernel_id": "21429307"}, {"ref": "shubhambhardwaj1998/titanic-dataset-logistic-regression", "kernel_id": "21743805"}, {"ref": "halileneszdemir/titanic-eda-for-beginners", "kernel_id": "21350629"}, {"ref": "kimenhurk/kaggle-titanic", "kernel_id": "21310088"}, {"ref": "muhamadrialdy/titanic-ind", "kernel_id": "21774200"}, {"ref": "aigo90/notebook6368e8bd29", "kernel_id": "21940912"}, {"ref": "monicacue/titanic-solution-using-ensemble-methods", "kernel_id": "21550399"}, {"ref": "adnanaly/my-first-task", "kernel_id": "21014665"}, {"ref": "adnanaly/titanic-competition-first-submission", "kernel_id": "21015140"}, {"ref": "agrawalarpit/decision-tree-grid-search-cv-boosting", "kernel_id": "21730391"}, {"ref": "mah101/random-forest", "kernel_id": "21447699"}, {"ref": "munaokpala/titanic-dataset", "kernel_id": "21612321"}, {"ref": "tszyankam/prediction-by-logistic-regression", "kernel_id": "21102920"}, {"ref": "platonm/fork-of-platon-titanic-2", "kernel_id": "21880804"}, {"ref": "nicholasmirante/titanic-predictive-model", "kernel_id": "21651045"}, {"ref": "gerardocappa/titanic-competition", "kernel_id": "21274522"}, {"ref": "meenachidambaram/titanicpreds", "kernel_id": "21851214"}, {"ref": "profahmadhussein2010/titanic-machine-learning-from-disaster", "kernel_id": "21526318"}, {"ref": "sonicaprasad/titanic-project", "kernel_id": "21059063"}, {"ref": "ranahesham2021/titanic", "kernel_id": "21411242"}, {"ref": "maitrayeehandique/firstmlproject", "kernel_id": "21063851"}, {"ref": "princepatel321/titanc-analysis", "kernel_id": "21564410"}, {"ref": "princepatel321/titanic", "kernel_id": "21560478"}, {"ref": "christianstage/christian-titanictest", "kernel_id": "21117532"}, {"ref": "hastingssibanda/titanic-submission-02112021-decision-tree", "kernel_id": "21739687"}, {"ref": "dwijsingh/kaggle-titanic-competition", "kernel_id": "21831074"}, {"ref": "josuluna/predicting-survival-on-the-titanic", "kernel_id": "21405875"}, {"ref": "laiyuting39/titanic-intro-project-with-python-without-ml-part", "kernel_id": "21928460"}, {"ref": "szymonrosaniec/titanic-competition", "kernel_id": "21274991"}, {"ref": "ginacarson/titanic-survivor-predictions", "kernel_id": "21151424"}, {"ref": "fernandolima23/knn-x-naive-bayes", "kernel_id": "21954534"}, {"ref": "raysun91/0-794-top-5-using-logistic-regression", "kernel_id": "21410375"}, {"ref": "dkdkdkdkw/i-found-good-auto-eda-stuff", "kernel_id": "21539184"}, {"ref": "arjuncsk/titanic-survivor", "kernel_id": "21703608"}, {"ref": "lleomiranda/test-rlog", "kernel_id": "21080591"}, {"ref": "karansehgal13/knn-eda-titanic-dataset", "kernel_id": "21840158"}, {"ref": "karansehgal13/logistic-regression-on-titanic-dataset-eda", "kernel_id": "21675214"}, {"ref": "imams2000/titanic-eda-insights-catboost-83-17-crossval", "kernel_id": "21830167"}, {"ref": "ehsandahesh/titanic-with-xgboost", "kernel_id": "21674605"}, {"ref": "ryotaroyabe/notebook-titanic", "kernel_id": "21322805"}, {"ref": "ilijagracanin/titanic-survival-prediction-optuna-rf-simple", "kernel_id": "21681415"}, {"ref": "jordandelbar/titanic-with-polars-and-pytorch", "kernel_id": "21664023"}, {"ref": "manjunathgb/titanic-survival-prediction", "kernel_id": "21541956"}, {"ref": "manjunathgb/titanic", "kernel_id": "21542086"}, {"ref": "kukieatchuputthapong/project-titanic-survived", "kernel_id": "21047147"}, {"ref": "eduardoschiavo/a-beginner-s-attempt-to-the-titanic-challenge", "kernel_id": "21779460"}, {"ref": "maryiaznak/getting-started-with-titanic", "kernel_id": "21319100"}, {"ref": "prateeksohlot/titanic-eda", "kernel_id": "21102089"}, {"ref": "jaskaransingh1228/for-beginners-key-to-any-ml-project-titanic-data", "kernel_id": "21194702"}, {"ref": "hosseinbehjat/fork-of-titanic-naive-bayes", "kernel_id": "21034847"}, {"ref": "sahanabasapathi/titanic-ml-competiion", "kernel_id": "21172825"}, {"ref": "moonssong/py-t1-1-iqr-expected-question", "kernel_id": "21489740"}, {"ref": "moonssong/t2-1-titanic-simple", "kernel_id": "21957879"}, {"ref": "blackgreen/fork-of-kaggle-titanic", "kernel_id": "21078998"}, {"ref": "malikachhibber/titanic-ml", "kernel_id": "21930900"}, {"ref": "nethanael/titanic-phidalgo", "kernel_id": "21148900"}, {"ref": "tammysilva/phys243-hw3-jiaxin-tang-pca", "kernel_id": "21788612"}, {"ref": "cesarjimenezm/mla2-cjimenez-6-b", "kernel_id": "21110620"}, {"ref": "yayahzakiyah/titanic-survival-prediction", "kernel_id": "21652386"}, {"ref": "carlosperaltacoto/titanicpredictioncepc", "kernel_id": "21100948"}, {"ref": "rohiniselvaraj0107/titanic-using-various-classification-models", "kernel_id": "21019671"}, {"ref": "andrewgroves95/titanic-survial", "kernel_id": "21350142"}, {"ref": "abbyross/kaggle-titanic-competition-excellent-data-visual", "kernel_id": "21856435"}, {"ref": "andrwsvieira/titanic", "kernel_id": "21620555"}, {"ref": "valeriaspbpu/notebook56636d4841", "kernel_id": "21572327"}, {"ref": "tugcecan/titanic-data-visualisation", "kernel_id": "21379765"}, {"ref": "akshaytopare/titanic-tutorial", "kernel_id": "21081724"}, {"ref": "happylittlegrain/geting-started-with-titanic", "kernel_id": "21031848"}, {"ref": "simeonrinkenberger/new-titanic-survival-prediction", "kernel_id": "21127545"}, {"ref": "yujimts/try-titanic", "kernel_id": "21116411"}, {"ref": "antoninabugayova/score1", "kernel_id": "21003177"}, {"ref": "chendelin/notebook38c7f4417c", "kernel_id": "21081472"}, {"ref": "marshallgallatin/titanic-homework-2", "kernel_id": "21432345"}, {"ref": "adityatyagi007/eda-on-titanic-dataset", "kernel_id": "21146742"}, {"ref": "romanalexandrov/titanic-alexandrov-rs", "kernel_id": "21293560"}, {"ref": "ilyagolovakov/getting-started-with-titanic", "kernel_id": "21425733"}, {"ref": "liubovprimak/t-m-l-ver-2", "kernel_id": "21808168"}, {"ref": "liubovprimak/t-m-l", "kernel_id": "21431463"}, {"ref": "austinelledge/titanic-submission", "kernel_id": "21578655"}, {"ref": "andaakn/titanic-data-practice", "kernel_id": "21078199"}, {"ref": "alexandernemirov/my-titanic", "kernel_id": "21789250"}, {"ref": "egorfalameev/notebook1942971f78", "kernel_id": "21382549"}, {"ref": "peldaoduncu/pre-analysis-on-titanic", "kernel_id": "21032074"}, {"ref": "ognevdenis/notebook-titanic-v-1-2-1", "kernel_id": "21632617"}, {"ref": "yuriiivanchev/getting-started-with-titanic", "kernel_id": "21341355"}, {"ref": "hareekrishnavs/acc-score-0-94", "kernel_id": "21159174"}, {"ref": "w3nnylie/titanic-kaggle-by-w3nnylie", "kernel_id": "21272218"}, {"ref": "yagyeshb/base-logistic-regression-model-with-numerical-col", "kernel_id": "21541563"}, {"ref": "suhj22/getting-started-with-kaggle", "kernel_id": "21155635"}, {"ref": "alejandroperez25/prediction-for-titanic-survival", "kernel_id": "21209085"}, {"ref": "rfanbaykara/very-basic-yet-effective-logistic-regression", "kernel_id": "21686077"}, {"ref": "barknadgzelolu/titanic-eda", "kernel_id": "21053872"}, {"ref": "slavavolkonenkov/titanic-pred", "kernel_id": "21153600"}, {"ref": "moathmohamed/titanic-disaster-88-simple-explanation", "kernel_id": "21612161"}, {"ref": "abigailchoi/getting-started-with-titanic77", "kernel_id": "21792929"}, {"ref": "zhenxiangpeng/getting-started-with-titanic", "kernel_id": "21770213"}, {"ref": "natedog00/getting-started-with-titanic", "kernel_id": "21723923"}, {"ref": "amandajyc/titanic", "kernel_id": "21725203"}, {"ref": "jindoo/titanic", "kernel_id": "21384222"}, {"ref": "andreal314159/titanic", "kernel_id": "21936416"}, {"ref": "maragarcagirn/getting-started-with-titanic-mar-a", "kernel_id": "21147230"}, {"ref": "maragarcagirn/getting-started-with-titanic-mar-a-models", "kernel_id": "21256562"}, {"ref": "yuaacc/getting-started-with-titanic", "kernel_id": "21130629"}, {"ref": "avikumart/classif-titanic-classification-survival-preds", "kernel_id": "21984645"}, {"ref": "fyangcpp/titanic", "kernel_id": "21673001"}, {"ref": "sameeramin/logistic-regression-for-titanic-competition", "kernel_id": "21251600"}, {"ref": "georgiydedov/titanicsolution", "kernel_id": "21059199"}, {"ref": "petermasforroll/titanic-ensemble-approach-svm-rf-knn", "kernel_id": "21672760"}, {"ref": "dmytrokainara/notebookea56830fa0", "kernel_id": "21386007"}, {"ref": "minsungku/notebookcdf38c37f5", "kernel_id": "21618461"}, {"ref": "nvnj5656/notebook34cd3bf62a", "kernel_id": "21392563"}, {"ref": "vandana12911/titanic-with-decision-tree", "kernel_id": "21364134"}, {"ref": "ashwinpingali/titanic-tutorial", "kernel_id": "21180954"}, {"ref": "utkarshnihal/titanic-dataset", "kernel_id": "21938478"}, {"ref": "frejavindum1/notebooke12c69e8a0", "kernel_id": "21052124"}, {"ref": "diegogonzlezlpez/titanic-eda-analisis-neuronal-network", "kernel_id": "21148250"}, {"ref": "abhimaneukj/titanic-disaster-survival-pred-credit-codestudio", "kernel_id": "21251790"}, {"ref": "laugehansen/portfolio1b-lauge", "kernel_id": "21014215"}, {"ref": "muhammadmahadsid/notebooke402c2d7aa", "kernel_id": "21710651"}, {"ref": "ataberkurfal/titanic-project", "kernel_id": "21014838"}, {"ref": "stepanrepin/notebookcc7b53100a", "kernel_id": "21471147"}, {"ref": "rubngonzlezgonzlez/eda-and-prediction-model-titanic-ruben", "kernel_id": "21338003"}, {"ref": "svalbr00/regresi-n-log-stica-titanic", "kernel_id": "21210397"}, {"ref": "zhangzeyong/titanic", "kernel_id": "21135775"}, {"ref": "tejus98sharma/getting-started-with-titanic", "kernel_id": "21019783"}, {"ref": "wade1111/titanic", "kernel_id": "21011609"}, {"ref": "victorbtker/victor-notebook-titanic", "kernel_id": "21012156"}, {"ref": "olivermarksrensen/getting-started-with-titanic-zsg720-portfolio-1b", "kernel_id": "21100907"}, {"ref": "halfdanisbrand/portfolio1b-xtk156-halfdan-isbrand-hald", "kernel_id": "21124870"}, {"ref": "ianakiraganico/python-project-predicting-titanic-survivors", "kernel_id": "21014613"}, {"ref": "s0mnaths/titanic-pytorch", "kernel_id": "21744661"}, {"ref": "jamesnewport/randomforest-trying-to-optimise-parameters", "kernel_id": "21279426"}, {"ref": "nikitatsyganyuk/notebooknikitatsyganyuktitanic", "kernel_id": "21717912"}, {"ref": "anaestrada/cs4650-titanic", "kernel_id": "21743631"}, {"ref": "data2ilm/titanic-know-disc", "kernel_id": "21324302"}, {"ref": "thorbondeandersen/thunderbirds-contribution", "kernel_id": "21124573"}, {"ref": "theaschoufeldthaus/portfolio-1b-2", "kernel_id": "21078876"}, {"ref": "einersen/ml101-titanic", "kernel_id": "21125791"}, {"ref": "einersen/port1b-titanic", "kernel_id": "21127233"}, {"ref": "elisabethhbarslev/titanic-survival", "kernel_id": "21077024"}, {"ref": "kbb2468/getting-started-with-titanic", "kernel_id": "21065242"}, {"ref": "moniquev/portfolio-1b-final", "kernel_id": "21078870"}, {"ref": "fredericdidion/titanic-portfolio-1b-kaggle-comp", "kernel_id": "21122458"}, {"ref": "emilschledermann/portfolio-1b", "kernel_id": "21076096"}, {"ref": "dimashishov/titanic-simple-score-0-78", "kernel_id": "21214864"}, {"ref": "matildeforland/portfolio-1b", "kernel_id": "21077803"}, {"ref": "elisabeth0281/den-vigtige", "kernel_id": "21121536"}, {"ref": "jakobsonneengel/jakob-s-tit", "kernel_id": "21078319"}, {"ref": "julianeek/titanictest", "kernel_id": "21078475"}, {"ref": "julianeek/titanicdone", "kernel_id": "21121054"}, {"ref": "matheussanches/test-train-1", "kernel_id": "21088793"}, {"ref": "theodorbjeritzau/titanic-assignment-1b", "kernel_id": "21119767"}, {"ref": "chocobilly/titanic-random-forest-beginner", "kernel_id": "21082704"}, {"ref": "arsdav/titanic-mine", "kernel_id": "21375786"}, {"ref": "akhmadthalibarrifqi/titanic-machine-learning-from-disaster", "kernel_id": "21307658"}, {"ref": "akhmadthalibarrifqi/titanic-support-vector-machine", "kernel_id": "21317785"}, {"ref": "osreerag/titanic", "kernel_id": "21739744"}, {"ref": "aershov/ml2021-lab-2-titanic", "kernel_id": "21660342"}, {"ref": "lottoexpecter/python-type1-percentile-quantile", "kernel_id": "21489652"}, {"ref": "grigorypetrov/titanic-with-randomforestclassifier-gridsearchcv", "kernel_id": "21616236"}, {"ref": "alinadovzhenko/notebookebaf49a96e", "kernel_id": "21826254"}, {"ref": "s059706/titanic-oct-11-2021", "kernel_id": "21141053"}, {"ref": "s059706/titanic-second-attempt", "kernel_id": "21727320"}, {"ref": "akselhundahl/notebook485a12badc", "kernel_id": "21104870"}, {"ref": "renatzemtsov/titanic-with-random-forest", "kernel_id": "21285345"}, {"ref": "veratumanova/titanic-vt", "kernel_id": "21125923"}, {"ref": "kseniiaplatunova/random-forest", "kernel_id": "21808589"}, {"ref": "annabelyaeva/lab2belyaeva", "kernel_id": "21354509"}, {"ref": "ildarkhuzin/titanic1", "kernel_id": "21123840"}, {"ref": "batonny/titanic", "kernel_id": "21173309"}, {"ref": "nisharahysmith/notebookda32490206", "kernel_id": "21768463"}, {"ref": "anirudhshankar14/titanic-survival-prediction", "kernel_id": "21132276"}, {"ref": "limmyoungjin/r-t1-1-iqr-expected-questions", "kernel_id": "21367303"}, {"ref": "limmyoungjin/r-t2-1-titanic", "kernel_id": "21850780"}, {"ref": "limmyoungjin/r-1-titanic", "kernel_id": "21642170"}, {"ref": "vladislavsemenyonok/notebook8726a4687c", "kernel_id": "21161412"}, {"ref": "saprykinalexander/titanic-lab", "kernel_id": "21262820"}, {"ref": "sumeetgedam/smg-titanic", "kernel_id": "21682828"}, {"ref": "alexandrpanarin/titanic", "kernel_id": "21172456"}, {"ref": "nikitalukashov/titaniclab", "kernel_id": "21803596"}, {"ref": "vladislavsergeev/titanic-sklearn-ensemble-0-784", "kernel_id": "21807172"}, {"ref": "d0blee2/titanicsolverayeed1", "kernel_id": "21278281"}, {"ref": "zaahir341/titanic-learning-from-disaster", "kernel_id": "21299215"}, {"ref": "dmirtyenikeev/notebookcee921aa4b", "kernel_id": "21300444"}, {"ref": "shprit/titanic-disaster-randforestclassifier-gridscv", "kernel_id": "21830273"}, {"ref": "patipanlueangon/problem-based-project-1-137-257-457", "kernel_id": "21169205"}, {"ref": "johyunkang/py-t1-1-iqr-expected-questions", "kernel_id": "21712896"}, {"ref": "darshann001/titanic-darshan", "kernel_id": "21206699"}, {"ref": "anastasiyachapurina/lab-2", "kernel_id": "21790730"}, {"ref": "polinamaltseva/lr-2-titanic", "kernel_id": "21719674"}, {"ref": "jacobbode/cs-100-data-science", "kernel_id": "21182705"}, {"ref": "novscdr/titanic", "kernel_id": "21307143"}, {"ref": "rauantoxeitov/titanic", "kernel_id": "21937680"}, {"ref": "nadimhayat/titanic-second-attempt", "kernel_id": "21412888"}, {"ref": "linhanghan/titanic-kr-4ml", "kernel_id": "21582283"}, {"ref": "linhanghan/titanic-kr", "kernel_id": "21549698"}, {"ref": "linhanghan/titanic-ml", "kernel_id": "21548194"}, {"ref": "linhanghan/titanic-sklearn", "kernel_id": "21528334"}, {"ref": "joachimwhy/titanic-jw-s-attempt", "kernel_id": "21251027"}, {"ref": "leslieesquivel/cs-100-data-science", "kernel_id": "21263512"}, {"ref": "davidhalmy/cs-100-data-science", "kernel_id": "21263569"}, {"ref": "thanatattan/cs-100-data-science", "kernel_id": "21329439"}, {"ref": "jianqliang/cs-100-data-science", "kernel_id": "21263594"}, {"ref": "yahyaqa23/cs-100-data-science", "kernel_id": "21387880"}, {"ref": "naseralkuhili/cs-100-data-science", "kernel_id": "21383018"}, {"ref": "haaniyaghiasuddin/cs-100-data-science", "kernel_id": "21263590"}, {"ref": "alonsomorales/cs-100-data-science", "kernel_id": "21263617"}, {"ref": "sameerkajani/cs-100-data-science-33897b", "kernel_id": "21263765"}, {"ref": "thomaswagner24/cs-100-data-science", "kernel_id": "21263592"}, {"ref": "mpatel159/cs-100-data-science", "kernel_id": "21263593"}, {"ref": "sweber17/cs-100-data-science", "kernel_id": "21408503"}, {"ref": "charlesdefiesta/cs-100-data-science", "kernel_id": "21408390"}, {"ref": "rajpatel332/cs-100-data-science-cd4c48", "kernel_id": "21263631"}, {"ref": "griffincolomer/cs-100-data-science", "kernel_id": "21263632"}, {"ref": "todoai/9-lines-baseline-titanic-v1", "kernel_id": "21275147"}, {"ref": "megadigo/digtitanic", "kernel_id": "21281471"}, {"ref": "sahmed63/cs-100-data-science", "kernel_id": "21282947"}, {"ref": "nickolassimons/cs-100-data-science", "kernel_id": "21287529"}, {"ref": "areynolds5/cs-100-data-science", "kernel_id": "21301439"}, {"ref": "valeriawillam/titanic-dataset-logistic-regression", "kernel_id": "21423465"}, {"ref": "andrewdanda/cs-100-data-science", "kernel_id": "21304975"}, {"ref": "suadabuhasnarich/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "21351932"}, {"ref": "boulahchichenadir/titanic-tutorial", "kernel_id": "21915239"}, {"ref": "danielediaz/cs-100-data-science", "kernel_id": "21327731"}, {"ref": "jorgeanzaldo/cs-100-data-science", "kernel_id": "21327834"}, {"ref": "allanpolakkattil/cs-100-allan-polakkattil", "kernel_id": "21503563"}, {"ref": "shayanbaig/cs-100-data-science", "kernel_id": "21327867"}, {"ref": "deyinjack/cs-100-data-science", "kernel_id": "21327881"}, {"ref": "owenmcgrath/cs-100-data-science", "kernel_id": "21327885"}, {"ref": "jordandahan/titanic-mlp-logistic-regression", "kernel_id": "21733975"}, {"ref": "braulioaguilarislas/cs-100-data-science", "kernel_id": "21328226"}, {"ref": "jakhongir69/cs-100-data-science-d5bd6e", "kernel_id": "21410178"}, {"ref": "declanlicarneyiit/cs-100-data-science", "kernel_id": "21329215"}, {"ref": "johnmanfordstock/cs-100-data-science", "kernel_id": "21330227"}, {"ref": "joshuadavenport/cs-100-data-science", "kernel_id": "21330248"}, {"ref": "dominikkulawiak/cs-100-data-science", "kernel_id": "21330391"}, {"ref": "marcinlanda/cs-100-data-science", "kernel_id": "21330448"}, {"ref": "jeffnicolasolarte/cs-100-data-science", "kernel_id": "21330508"}, {"ref": "nadeemhussein/cs-100-data-science", "kernel_id": "21330512"}, {"ref": "amadaie/learning-titanic", "kernel_id": "21330952"}, {"ref": "lokanathpatro/lp-titanic-v01", "kernel_id": "21346300"}, {"ref": "lokanathpatro/lp-titanic-submission", "kernel_id": "21383248"}, {"ref": "dliu44/cs-100-data-science", "kernel_id": "21353316"}, {"ref": "radityaharriman/cs-100-data-science", "kernel_id": "21353442"}, {"ref": "harrisonle9/cs-100-data-science", "kernel_id": "21353441"}, {"ref": "clairecarter11/cs-100-data-science", "kernel_id": "21353595"}, {"ref": "rohitpemmasani/fork-of-cs-100-data-science", "kernel_id": "21523082"}, {"ref": "yawarkamran/cs-100-data-science", "kernel_id": "21353637"}, {"ref": "larrington77/cs-iit-data-science-challenge", "kernel_id": "21355389"}, {"ref": "hshah86/cs-100-data-science", "kernel_id": "21355509"}, {"ref": "privateal/cs-100-data-science", "kernel_id": "21355587"}, {"ref": "josephloriso/cs-100-data-science-lab", "kernel_id": "21360603"}, {"ref": "braedenweaver/cs-100-data-science", "kernel_id": "21356848"}, {"ref": "jamiesperos/jcs-titanic-v01", "kernel_id": "21483404"}, {"ref": "evelynlechugaluna/cs-100-data-science", "kernel_id": "21360868"}, {"ref": "vaibhavsk/titanic-logistic-regression", "kernel_id": "21677391"}, {"ref": "gerardmendoza/cs-100-data-science", "kernel_id": "21381835"}, {"ref": "tony7hang/cs-100-data-science", "kernel_id": "21381810"}, {"ref": "oliviawasag/cs-100-data-science", "kernel_id": "21383279"}, {"ref": "sreejagopu/cs-100-data-science-cd3e32", "kernel_id": "21701127"}, {"ref": "sreejagopu/cs-100-data-science-3bdbf1", "kernel_id": "21701184"}, {"ref": "bigesmith/cs-100-data-science", "kernel_id": "21383377"}, {"ref": "yaraaboutara/cs-100-data-science", "kernel_id": "21383619"}, {"ref": "hxmzakhxn/cs-100-data-science", "kernel_id": "21384434"}, {"ref": "damianecervantes/cs-100-data-science", "kernel_id": "21384438"}, {"ref": "vincentrichardo/cs-100-data-science", "kernel_id": "21384622"}, {"ref": "andinhnguyen/cs-100-data-science", "kernel_id": "21567939"}, {"ref": "stephanieschweiger/assignment0", "kernel_id": "21866068"}, {"ref": "juliabalog/getting-started-with-titanic", "kernel_id": "21387729"}, {"ref": "claraye/a-more-serious-attempt-with-titanic", "kernel_id": "21831580"}, {"ref": "jimjohn/cs-100-data-science", "kernel_id": "21390894"}, {"ref": "aroojsyed/eda-and-feature-preprocessing", "kernel_id": "21916050"}, {"ref": "meghama/introduction-to-pytorch-a-very-gentle-start", "kernel_id": "21432027"}, {"ref": "chaseleemcgrewkerr/cs-100-data-science", "kernel_id": "21408683"}, {"ref": "gisellesalgado/cs-100-data-science", "kernel_id": "21408704"}, {"ref": "thomasmyrda/cs-100-data-science-df6687", "kernel_id": "21410259"}, {"ref": "nicolasbatkoski/cs-100-data-science-9b1c68", "kernel_id": "21543948"}, {"ref": "heeinsong/cs-100-data-science", "kernel_id": "21410365"}, {"ref": "darshannair11/cs-100-data-science", "kernel_id": "21410335"}, {"ref": "leahmmirch/cs-100-data-science", "kernel_id": "21410534"}, {"ref": "katherineleeker/krl-titanic-submission", "kernel_id": "21521691"}, {"ref": "katherineleeker/krl-titanic-v01", "kernel_id": "21521283"}, {"ref": "aarontranhuynh/cs-100-data-science", "kernel_id": "21411651"}, {"ref": "nicholashatzisavas/cs-100-data-science", "kernel_id": "21411590"}, {"ref": "eskinderfitsum/cs-100-data-science", "kernel_id": "21411603"}, {"ref": "victorfsc/titanic-end-to-end", "kernel_id": "21504707"}, {"ref": "m0001111/cs-100-data-science", "kernel_id": "21413872"}, {"ref": "alexylw/first-submission", "kernel_id": "21538925"}, {"ref": "yamyam7/t2-1-titanic-simple", "kernel_id": "21965724"}, {"ref": "yamyam7/py-t1-1-iqr-expected-questions", "kernel_id": "21497497"}, {"ref": "chaqsa/titanic-basic-solution-using-adaboost", "kernel_id": "21596992"}, {"ref": "chaqsa/eda-feature-pre-processing-titanic", "kernel_id": "21916285"}, {"ref": "jesse2333/titanic-survival-prediction", "kernel_id": "21531086"}, {"ref": "seanlwe/survival-predictions", "kernel_id": "21432794"}, {"ref": "jixianghuang/cs-100-data-science", "kernel_id": "21433914"}, {"ref": "yulikawijayanti/classification-titanic-kaggle", "kernel_id": "21632140"}, {"ref": "hyodadak/r-t1-1-iqr-expected-questions-2", "kernel_id": "21680356"}, {"ref": "hyodadak/r-t2-1-titanic", "kernel_id": "21951101"}, {"ref": "owaistahir/eda-and-feature-analysis-of-titanic-ship-incident", "kernel_id": "21900125"}, {"ref": "eswareanumula/titanic-ml-fromdisaster-using-sklearn", "kernel_id": "21445728"}, {"ref": "salemgirmai/sk-titanic-submission-v01", "kernel_id": "21477681"}, {"ref": "salemgirmai/sk-titanic-eda-v01", "kernel_id": "21546729"}, {"ref": "typrasop/cs-100-data-science", "kernel_id": "21457798"}, {"ref": "amandahidalgo/titanic-11-2021", "kernel_id": "21944503"}, {"ref": "ryosukekawata/notebooka7667b388c", "kernel_id": "21481453"}, {"ref": "bangjaein/py-t1-1-iqr-expected-questions", "kernel_id": "21491590"}, {"ref": "bangjaein/t2-1-titanic-simple", "kernel_id": "21960784"}, {"ref": "markbuchanan/titanic-competition", "kernel_id": "21768867"}, {"ref": "rafaelsegistan/titanic-rsegista", "kernel_id": "21504934"}, {"ref": "chizhangumn/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "21483966"}, {"ref": "juanjulianamanriquez/jmm-titanic-challenge", "kernel_id": "21953575"}, {"ref": "plg01dp/new-features", "kernel_id": "21496772"}, {"ref": "azurefour/py-t1-1-iqr-expected-questio-193df8", "kernel_id": "21527420"}, {"ref": "jogejung/py-t1-1-iqr", "kernel_id": "21494491"}, {"ref": "jogejung/t2-1-titanic-classification", "kernel_id": "21956402"}, {"ref": "ultimateant/titanic-prediction-example-in-r", "kernel_id": "21495426"}, {"ref": "nikhildate/neural-networks-rescaling", "kernel_id": "21641726"}, {"ref": "amitrechavia/amitrechavia-titanicchallange", "kernel_id": "21499842"}, {"ref": "rajansavani/cs-100-data-science", "kernel_id": "21503460"}, {"ref": "ericcaruyer/dataexploration", "kernel_id": "21528200"}, {"ref": "oscarbeijbom/titanictransformers", "kernel_id": "21520358"}, {"ref": "naina00/titanic", "kernel_id": "21934103"}, {"ref": "talhamuratyildirim/starting-kaggle-with-titanic", "kernel_id": "21528052"}, {"ref": "mingwayne/titanic-logistic-regression", "kernel_id": "21855078"}, {"ref": "newfalhaddi/cs-100-data-science", "kernel_id": "21531615"}, {"ref": "yunlunchen/random2", "kernel_id": "21607808"}, {"ref": "chankyookang/cs-100-data-science-672faa", "kernel_id": "21541470"}, {"ref": "chankyookang/fork-of-cs-100-data-science-672faa", "kernel_id": "21567458"}, {"ref": "brownn27/cs-100-data-science", "kernel_id": "21546758"}, {"ref": "myatminnthiha/cs-100-data-science", "kernel_id": "21548247"}, {"ref": "picklemorty/cs-100-data-science-67d87b", "kernel_id": "21549854"}, {"ref": "liubei666/study1-titanic", "kernel_id": "21678228"}, {"ref": "hninnuwai/cs-100-data-science", "kernel_id": "21551011"}, {"ref": "mattmura/cs-100-data-science", "kernel_id": "21551897"}, {"ref": "kingkongs7/titanic-top-2-grouped-by-age-and-child", "kernel_id": "21738482"}, {"ref": "mt05160516/titanic", "kernel_id": "21563126"}, {"ref": "yexiu1314/titanic-survival-predictions-beginner", "kernel_id": "21569103"}, {"ref": "houssemaminetouihri/titanic", "kernel_id": "21574775"}, {"ref": "houssemaminetouihri/using-decisiontreeclassifier-criterion-gini", "kernel_id": "21580786"}, {"ref": "lovroselic/titanic-ls", "kernel_id": "21589137"}, {"ref": "lovroselic/titanic-ls-take-2", "kernel_id": "21741804"}, {"ref": "zuojiaqinumb/titanic-ls-take-2", "kernel_id": "21824328"}, {"ref": "zuojiaqinumb/ai-test", "kernel_id": "21753785"}, {"ref": "ntttdataeejswcement/digtitanic", "kernel_id": "21595731"}, {"ref": "jeonginah/t2-1-titanic-simple", "kernel_id": "21964722"}, {"ref": "jeonginah/py-t1-1-iqr-expected-questions", "kernel_id": "21702167"}, {"ref": "beanbench/cs-4650-proj-3-v2", "kernel_id": "21819066"}, {"ref": "sjpark01/titaaaanic", "kernel_id": "21910723"}, {"ref": "samuelcortinhas/titanic-script-knn", "kernel_id": "21825552"}, {"ref": "samuelcortinhas/titanic-randomforest-gridsearch", "kernel_id": "21826331"}, {"ref": "jewel0forest/py-t1-1-iqr-expected-questions", "kernel_id": "21676463"}, {"ref": "kamranrana/titanic-eda", "kernel_id": "21645660"}, {"ref": "kimcheethelab/titanic-kimcheethelab", "kernel_id": "21671012"}, {"ref": "shyohevzion/titanic-machine-learning-with-python", "kernel_id": "21958949"}, {"ref": "maximolifer/titanic", "kernel_id": "21906999"}, {"ref": "mohdkasibsiddiqui/titanic-survival-prediction", "kernel_id": "21798364"}, {"ref": "carlfukawa/getting-started-with-titanic", "kernel_id": "21749285"}, {"ref": "flores5505/titanic-project", "kernel_id": "21751007"}, {"ref": "danieldinh/getting-started-with-titanic", "kernel_id": "21773883"}, {"ref": "ethanmelero/project-3-titanic", "kernel_id": "21788528"}, {"ref": "ahmadakmalamrullah/titanic-submission-random-forest", "kernel_id": "21802461"}, {"ref": "jonassandoval/fork-of-getting-started-with-titanic", "kernel_id": "21796533"}, {"ref": "jonassandoval/getting-started-with-titanic", "kernel_id": "21773446"}, {"ref": "garynicogunawan/machine-learning-enablement", "kernel_id": "21837750"}, {"ref": "garynicogunawan/machine-learning-enablement-hands-on", "kernel_id": "21876665"}, {"ref": "darrgebreselassie/titanic-start", "kernel_id": "21793883"}, {"ref": "absatyaprakash/titanic-survival-predictions", "kernel_id": "21809534"}, {"ref": "gautamgc75/titanic-prediction-pytorch", "kernel_id": "21908530"}, {"ref": "thomasjonli/taitanic", "kernel_id": "21980531"}, {"ref": "kseona/notebookc3b3ca69ea", "kernel_id": "21880683"}, {"ref": "anushkachitransh/titanic-survival-prediction", "kernel_id": "21966282"}, {"ref": "matanav/titanic-3ex-matanav", "kernel_id": "21907863"}, {"ref": "elizabethgren/titanic-missing-and-small-data-are-disast-87ca52", "kernel_id": "21910994"}, {"ref": "raghavsingh1/kingkongs7-titanic", "kernel_id": "21912014"}, {"ref": "moredata/logistic-rigression", "kernel_id": "21912105"}, {"ref": "rajendraverma4/logistic-rigression", "kernel_id": "21928275"}, {"ref": "manoharnemani/intro-to-r-part-24-hypothesis-testing", "kernel_id": "21928293"}, {"ref": "mindingkang97/t1-1-outlier-iqr", "kernel_id": "21959280"}, {"ref": "titichayajojo/notebook13bf2d2a28", "kernel_id": "21975886"}, {"ref": "uom170353a/note-book-final", "kernel_id": "21979995"}, {"ref": "uom170723j/uom170723j", "kernel_id": "21979810"}, {"ref": "terrynlp/getting-started-with-titanic", "kernel_id": "21986265"}, {"ref": "paulmineau/team-titanic-revisionists", "kernel_id": "22597555"}, {"ref": "mchahhou/titanic1", "kernel_id": "22061394"}, {"ref": "cauldnz/titanic-survival-prediction-complete-analysis", "kernel_id": "22417830"}, {"ref": "strategist0/notebookba3fbc78f9", "kernel_id": "22996185"}, {"ref": "aggarwalrahul/ml-automl-frameworks", "kernel_id": "22009332"}, {"ref": "hvardhanu/titanic-classification", "kernel_id": "22734186"}, {"ref": "ravivissa/titanic", "kernel_id": "22829404"}, {"ref": "barbaraulitsky/exploring-data-from-the-titanic-competition", "kernel_id": "22731393"}, {"ref": "lavinavrovine/fork-of-kisk-1-933178", "kernel_id": "22584670"}, {"ref": "jerrypark/titanic", "kernel_id": "22284660"}, {"ref": "valou7/titanic-feature-engineering", "kernel_id": "22271336"}, {"ref": "waterfirst/classification-survival-r-auc-0-95", "kernel_id": "22349380"}, {"ref": "moogmt/titanic-survival", "kernel_id": "22021446"}, {"ref": "person97/simple-nn-multi-layer-perceptron-cds-ufmg", "kernel_id": "22490375"}, {"ref": "gkunche/titanic", "kernel_id": "22364555"}, {"ref": "slythe/pyspark-basic-actions-and-transformations-rdd", "kernel_id": "22082850"}, {"ref": "fmingote/simple-nn-with-python-multi-layer-perceptron", "kernel_id": "22497700"}, {"ref": "israellaguan/titanic-random-forest-simple-imputer-mean", "kernel_id": "22161123"}, {"ref": "suddharshan/titanic-survival-prediction-eda-top-6", "kernel_id": "22160419"}, {"ref": "ksarvakar/python-for-data-25-chi-squared-tests", "kernel_id": "22032700"}, {"ref": "yamanity/titanic-autokeras", "kernel_id": "22788712"}, {"ref": "rithuraj/ttitanic-the-beginning", "kernel_id": "22812703"}, {"ref": "jwang3417/titanic-data-mani-myfirst", "kernel_id": "22521302"}, {"ref": "liberatoryohan/titanic0", "kernel_id": "22418642"}, {"ref": "leonovm/titanic-data-and-choosing-model", "kernel_id": "22703369"}, {"ref": "jacoporepossi/complete-tutorial-eda-with-altair", "kernel_id": "22466110"}, {"ref": "clavecat/starting-with-scikit-learn", "kernel_id": "22751305"}, {"ref": "viannaandresouza/titanic-eda-all-ml-models", "kernel_id": "22341126"}, {"ref": "viannaandresouza/titanic-eda-data-cleaning-for-newcomers", "kernel_id": "22050640"}, {"ref": "deniyulian/fork-of-titanic-tutorial", "kernel_id": "22640359"}, {"ref": "deniyulian/titanic-tutorial-556bfa", "kernel_id": "22230450"}, {"ref": "dawoon0901/r-t1-1-iqr-expected-questions", "kernel_id": "22161458"}, {"ref": "tutama/mci-ml-introduction-titanic-14-12-21", "kernel_id": "22789543"}, {"ref": "limjungwon/eda-to-prediction-dietanic", "kernel_id": "22407071"}, {"ref": "vinayjaingarg28/titanic-eda-and-visualization", "kernel_id": "22965379"}, {"ref": "omashish/decision-trees-random-forest", "kernel_id": "22369251"}, {"ref": "bciesielski91/titanic-machine-learning-classification-problem", "kernel_id": "22949373"}, {"ref": "leep22/guide-to-being-a-titanic-survivor", "kernel_id": "22274348"}, {"ref": "michaelbrendo/getting-started-with-titanic", "kernel_id": "22963900"}, {"ref": "stpeteishii/titanic2-fastai-with-tabularpandas", "kernel_id": "22229058"}, {"ref": "stpeteishii/titanic-fastai", "kernel_id": "22184539"}, {"ref": "stpeteishii/titanic-classify-with-fastai-tabularpandas", "kernel_id": "22125581"}, {"ref": "soumik11/binary-classification-using-deep-learning", "kernel_id": "22941945"}, {"ref": "subinium/data-science-tutorial-ver", "kernel_id": "22616167"}, {"ref": "banuayli/titanic-data-analysis", "kernel_id": "22583113"}, {"ref": "banuayli/titanic-data-analysis-classification-regression", "kernel_id": "22843921"}, {"ref": "shlomiziskin/titanic-notebook", "kernel_id": "22487239"}, {"ref": "lopukhov/fe-feature-importance-advanced-visualization", "kernel_id": "22857410"}, {"ref": "jetty2307/titanic-highlights", "kernel_id": "22184333"}, {"ref": "mhapich/titanicagain", "kernel_id": "22197014"}, {"ref": "mhapich/titanic-predictions-11-28", "kernel_id": "22384725"}, {"ref": "mhapich/titanic-ttb76", "kernel_id": "22354295"}, {"ref": "kpretomazi/titanic-machine-learning-from-disaster-i-m-trying", "kernel_id": "22528374"}, {"ref": "alymohamedaly/exploring-the-titanic-using-sklearn", "kernel_id": "22182972"}, {"ref": "juanconher/data-cleansing-exploration-voting-classifier", "kernel_id": "22802293"}, {"ref": "sonalisingh1411/survival-forecasting-with-eda-prediction-model", "kernel_id": "22709442"}, {"ref": "holzlsauer/titanic-ml", "kernel_id": "22418111"}, {"ref": "dkdevmallya/titanic-linear-logistic-and-knn-gridsearchcv", "kernel_id": "22269310"}, {"ref": "jojaehun/py-t1-1-iqr-expected-questions", "kernel_id": "22200617"}, {"ref": "saiansh2525/smlc-yash-singh", "kernel_id": "22753722"}, {"ref": "bhuppi2898/titanic-eda-easy-way", "kernel_id": "22229985"}, {"ref": "bhuppi2898/titanic-pycaret-automation-very-easy", "kernel_id": "22265417"}, {"ref": "pennny001/titanic-project", "kernel_id": "22318544"}, {"ref": "spadron05/titanic-machine-learning-from-disaster-project", "kernel_id": "22233142"}, {"ref": "songulerdem/analysis-of-titanic-dataset-with-pycaret", "kernel_id": "22959473"}, {"ref": "matanavitan/sklearn-complete-guide", "kernel_id": "22991672"}, {"ref": "abdulaziz7/machine-learning-workflow-regression-basic", "kernel_id": "22399478"}, {"ref": "rakeshku1993/titanic-survival-baseline-randomforest-model", "kernel_id": "22708814"}, {"ref": "soumya9977/comparing-autoeda-autoviz-sweetviz-lux-dataprep", "kernel_id": "22944170"}, {"ref": "hadeux/kor-eng-simple-ensemble-model", "kernel_id": "22251913"}, {"ref": "p7476762/10-model-s-compare-eda-predition", "kernel_id": "22761768"}, {"ref": "nishnatadebnath/ensemble-learning-methods-using-titanic-dataset", "kernel_id": "22168266"}, {"ref": "shinjk/fork-of-notebook6379233d81", "kernel_id": "22856042"}, {"ref": "antonkhnykin/siban-titanic", "kernel_id": "22409614"}, {"ref": "hana00/py-t1-1-iqr-expected-questions", "kernel_id": "22345554"}, {"ref": "hana00/t2-1-titanic-simple-baseline", "kernel_id": "22423654"}, {"ref": "saraswatitiwari/analysis-of-titanic", "kernel_id": "22423412"}, {"ref": "chumajin/pytorch-lightning-wandb-starter", "kernel_id": "22105820"}, {"ref": "pierrevignoles/xgboost-titanic-classification", "kernel_id": "22046398"}, {"ref": "christopheharrer/scikit-learn-ml-from-start-to-finish", "kernel_id": "22216515"}, {"ref": "gilbertomanunza/hands-on-the-titanic-dataset", "kernel_id": "22533554"}, {"ref": "seup87/py-t1-1-describe-iqr", "kernel_id": "22457159"}, {"ref": "blurred8216/titanic", "kernel_id": "22117754"}, {"ref": "lkergalipatak/titanic-eda-and-machine-learning", "kernel_id": "22811219"}, {"ref": "gaurav3435/notebookc0abb22eaa", "kernel_id": "22983976"}, {"ref": "sytuannguyen/titanic-v2", "kernel_id": "22794407"}, {"ref": "antonypavarin/titanic", "kernel_id": "22894185"}, {"ref": "singhmp/titanic-survival-v2", "kernel_id": "22314948"}, {"ref": "madhavmalhotra/intro-to-data-processing", "kernel_id": "22542315"}, {"ref": "nicolaspichd/titanic-survival-prediction", "kernel_id": "22522327"}, {"ref": "temur2001/notebook25e879abac", "kernel_id": "22612240"}, {"ref": "juancgonzalez/notebook1ac3c032e1", "kernel_id": "22542063"}, {"ref": "ryokusnadi/titanic-dataset", "kernel_id": "22704955"}, {"ref": "aarishshahab/titanic-survival-prediction", "kernel_id": "22132747"}, {"ref": "nitzankarni/titanitzan", "kernel_id": "22141242"}, {"ref": "ethanacs/titanic-noob-v1-20211119", "kernel_id": "22136834"}, {"ref": "spoorthiuk/titanic-test", "kernel_id": "22307409"}, {"ref": "bohdanbodnarenko/titanic-decision-tree-classifier", "kernel_id": "22538581"}, {"ref": "teejay99/automated-eda", "kernel_id": "22236934"}, {"ref": "vmindel/titanic-tutorial-vmindel", "kernel_id": "22480454"}, {"ref": "smodeel/titanic-made-easy-loop-over-10-models", "kernel_id": "22783623"}, {"ref": "mohitludhiyani/titanic-dataset-top-7", "kernel_id": "22216674"}, {"ref": "ohseokkim/titanic-dl-vs-ml-what-is-your-choice", "kernel_id": "22488385"}, {"ref": "chae52/upd-2021-introduction-to-ensembling-stacking-in-py", "kernel_id": "22009725"}, {"ref": "esaihuamanmeza/eda-titanic", "kernel_id": "22102223"}, {"ref": "jeffersonrafael/titanic-apresentando-a-metodologia-crisp-dm", "kernel_id": "22892165"}, {"ref": "arkaradeniz/titanic-classifier", "kernel_id": "22798328"}, {"ref": "oladimejialabi/oladimeji-kaggle-titanic-one", "kernel_id": "22893677"}, {"ref": "vyegyanathan/titanic-eda-and-fe", "kernel_id": "22494795"}, {"ref": "vikayarska/titanic-survive-eda-prediction", "kernel_id": "22700287"}, {"ref": "khareaditi/automl-tree-based-models-using-titanic-dataset", "kernel_id": "22009406"}, {"ref": "muhammadgusanwaakbar/titanic-s-factor", "kernel_id": "22524319"}, {"ref": "mahmoudsaeed99/predict-with-classification-algo-logistic-svm", "kernel_id": "22521455"}, {"ref": "ashishsiwach/titanic-eda-first-notebook", "kernel_id": "22760338"}, {"ref": "sumitnautiyal/notebook8ca359d57e", "kernel_id": "22105879"}, {"ref": "satyamsundaram/titanic-getting-started-with-classification-in-ml", "kernel_id": "22980678"}, {"ref": "abdelrahmankhalil/titanic-competition", "kernel_id": "22118121"}, {"ref": "ishan2851/titanic-machine-learning", "kernel_id": "22003180"}, {"ref": "noragougane/titanic-dataset-my-first-kaggle-dataset", "kernel_id": "22332215"}, {"ref": "sandorabad/titanic-07", "kernel_id": "22873841"}, {"ref": "dooratharsini/titanic-survival-prediction", "kernel_id": "22606140"}, {"ref": "ibauman/prediction-using-knn-lda-lr-and-nb", "kernel_id": "22885125"}, {"ref": "kumarsaksham/notebook157e7ffedb", "kernel_id": "22257511"}, {"ref": "themlphdstudent/cheat-sheet-plotly-charts", "kernel_id": "22758195"}, {"ref": "themlphdstudent/cheat-sheet-altair-charts", "kernel_id": "22758242"}, {"ref": "armanmostafazadeh/titanic-solution-first-kaggle-challenge", "kernel_id": "22911781"}, {"ref": "hansfranklambrecht/titanic-decision-tree-classifier", "kernel_id": "22777584"}, {"ref": "jeonghojae/py-t1-1-iqr-expected-questions", "kernel_id": "22103820"}, {"ref": "jeonghojae/t2-1-titanic-simple-baseline", "kernel_id": "22225908"}, {"ref": "youngprize33/py-t1-1-iqr-expected-questions", "kernel_id": "22423603"}, {"ref": "youngprize33/t2-1-titanic-simple-baseline", "kernel_id": "22452556"}, {"ref": "kgxiao/titanic-feature-encoding-and-model-stack", "kernel_id": "22555614"}, {"ref": "kgxiao/comparison-of-catboost-and-one-hot-encoding", "kernel_id": "22668327"}, {"ref": "neerajbirajdar/titanic-submission-1", "kernel_id": "22055391"}, {"ref": "pasinduranasinghe123/titanic-ml-eda-explanations-counterfactuals", "kernel_id": "22914240"}, {"ref": "pasatithchantawut/invader-start-titan-ic", "kernel_id": "22131610"}, {"ref": "ratandeepgupta/titanic-neural-net", "kernel_id": "22410552"}, {"ref": "samuelmartn/titanic", "kernel_id": "22336657"}, {"ref": "asliyildiz/titanic-eda", "kernel_id": "22565429"}, {"ref": "marianobasili/the-classic-titanic-competition", "kernel_id": "22836724"}, {"ref": "mibutnyk/titanic-data-mining-r", "kernel_id": "22121563"}, {"ref": "akashgupta087/titanic-basic-solution-using-random-forest", "kernel_id": "22983790"}, {"ref": "koushikapadmanaban/titanic-attempt", "kernel_id": "22257820"}, {"ref": "sk4ddd/learning-basic-visualisation-bokeh", "kernel_id": "22814182"}, {"ref": "minseungshin/py-t1-1-iqr-expected-questions", "kernel_id": "22430549"}, {"ref": "minseungshin/py-t2-1-titanic-simple-baselin", "kernel_id": "22513349"}, {"ref": "vikassharma12911/titanic-with-27-different-models-comparison", "kernel_id": "22180644"}, {"ref": "demomaster/titanic-machine-learning-from-disaster", "kernel_id": "22228333"}, {"ref": "izem00/my-first-kaggle-submission", "kernel_id": "22913830"}, {"ref": "polaternez/titanic-ml-votingclassifier", "kernel_id": "22114056"}, {"ref": "kshitijishere/cds-pbl-probability-distribution", "kernel_id": "22262944"}, {"ref": "tomastrdla/gradientboostedclassifier-with-bayesian-opt", "kernel_id": "22798166"}, {"ref": "manikantapolisetty/titanic", "kernel_id": "22103169"}, {"ref": "ivjyotsingh/titanic-dataset-exploratory-data-analysis", "kernel_id": "22646578"}, {"ref": "chiehhuiwei/predict-the-survival-of-titanic-using-lr-dt-rf", "kernel_id": "22479781"}, {"ref": "muhammadfuzail/titanic-classification", "kernel_id": "22598951"}, {"ref": "frankherzberg/first-r-analysis-titanic", "kernel_id": "22800854"}, {"ref": "sisharaneranjana/titanic-complete-guide-ml-dl-models", "kernel_id": "22271657"}, {"ref": "phchen5/the-unsinkable-intro-to-ml-ensemble-learning", "kernel_id": "22356168"}, {"ref": "crutcherdunnavant/titanic-crutcher-sequential", "kernel_id": "22470622"}, {"ref": "osamaeldemerdash/classification-titanic", "kernel_id": "22089996"}, {"ref": "vrnc13/final", "kernel_id": "22808954"}, {"ref": "andreabauer/titanic-challenge-2", "kernel_id": "22098231"}, {"ref": "gsalvador42/projetocs-titanic-svm-kernel", "kernel_id": "22284952"}, {"ref": "mohamedaminefahhem/notebooke2f90824bc", "kernel_id": "22827407"}, {"ref": "kapakudaibergenov/titanic-dataset-visualization-and-prediction", "kernel_id": "22412622"}, {"ref": "pythonash/making-completed-dataset", "kernel_id": "22721106"}, {"ref": "pythonash/how-to-handle-raw-dataset-and-analyze-with-dl", "kernel_id": "22841033"}, {"ref": "pythonash/selu-activation-function-in-dl", "kernel_id": "22953925"}, {"ref": "akshayr009/titanic-1", "kernel_id": "22694517"}, {"ref": "saharbenmabrouk/titanic-the-bigining", "kernel_id": "22721680"}, {"ref": "wonchanleee/compare-dt-lr-rf-classifier-firstsubmit", "kernel_id": "22721283"}, {"ref": "csj4032/titanic-machine-learning-from-disaster", "kernel_id": "22404958"}, {"ref": "pabloario/final-version", "kernel_id": "22979388"}, {"ref": "kiranclement/titanic-disaster-simple-neural-network-keras", "kernel_id": "22469956"}, {"ref": "byenhyenmin/several-encoding", "kernel_id": "22426685"}, {"ref": "aman909/titanic-dataset", "kernel_id": "22552794"}, {"ref": "wyctorfogos/notebook-titanic", "kernel_id": "22796344"}, {"ref": "housseinihadia/titanic", "kernel_id": "22564858"}, {"ref": "zwehtetpaing123/titanic-survival-prediction", "kernel_id": "22241293"}, {"ref": "jaisalchaudhary/notebook8b77d5bafc", "kernel_id": "22742951"}, {"ref": "alexanderstefanov/titanicsubmission-no-tuning", "kernel_id": "22098053"}, {"ref": "sebastianheri/applying-data-science-to-the-titanic", "kernel_id": "22514705"}, {"ref": "baycelik/classifier-model-implementation-on-titanic-dataset", "kernel_id": "22017473"}, {"ref": "baycelik/titanic-82-5-train-score-edited-notebook", "kernel_id": "22915039"}, {"ref": "blessontomjoseph/titanic-eda-and-model-building", "kernel_id": "22838936"}, {"ref": "ahmedkafrana/ml-exercise3", "kernel_id": "22384794"}, {"ref": "thilakrajdev/titanic", "kernel_id": "22584677"}, {"ref": "krishnakichu/titanic-model", "kernel_id": "22079173"}, {"ref": "vishugupta0509/titanic-predict-survivors", "kernel_id": "22921498"}, {"ref": "odins0n/plotly-ultimate-guide-for-beginners", "kernel_id": "22293532"}, {"ref": "odins0n/lightautoml-classification-titanic", "kernel_id": "22036821"}, {"ref": "odins0n/h2o-ai-automl-classification-titanic", "kernel_id": "22037016"}, {"ref": "danaqueen/t2-1-titanic-simple-baseline-abff80", "kernel_id": "22513059"}, {"ref": "yanadav/eda-visualization-choosing-best-model", "kernel_id": "22236359"}, {"ref": "misterjjunpatch/titanic-ml-80-accurate-on-test-data", "kernel_id": "22642105"}, {"ref": "citrussoda/py-t1-1-iqr-expected-questions", "kernel_id": "22451341"}, {"ref": "citrussoda/t2-1-titanic-simple-baseline", "kernel_id": "22460433"}, {"ref": "wasimmadha/titanic-survival-prediction", "kernel_id": "22400039"}, {"ref": "stevenslater/titanic-first-kaggle-project", "kernel_id": "22993463"}, {"ref": "seregabdx/notebook0c0d75b469", "kernel_id": "22192009"}, {"ref": "beatrizyun/t1-1-outlier-iqr", "kernel_id": "22509654"}, {"ref": "cherub8128/python-random-forest", "kernel_id": "22081219"}, {"ref": "gaganmaahi224/matplotlib-tutorial", "kernel_id": "22067351"}, {"ref": "gaganmaahi224/everything-you-need-to-know-in-plotly", "kernel_id": "22504721"}, {"ref": "gaganmaahi224/cutevizz-seaborn-self-written-code", "kernel_id": "22831058"}, {"ref": "bottinesfemme/get-rows", "kernel_id": "22272432"}, {"ref": "jinwangmok/titanic-prediction-with-decision-tree", "kernel_id": "22006492"}, {"ref": "knightbearr/nn-reg-audi-car-listings-knightbearr", "kernel_id": "22465955"}, {"ref": "praveenku3/titanic", "kernel_id": "22735025"}, {"ref": "romanresner/titanic-randomforestclassifier", "kernel_id": "22709434"}, {"ref": "agiadityaagasi/titanic-passenger-survivor-prediction", "kernel_id": "22900212"}, {"ref": "ravikumarmn/titanic-data-visualization", "kernel_id": "22191042"}, {"ref": "mysarahmadbhat/python-from-zero-to", "kernel_id": "22809589"}, {"ref": "dhyeydabhi/titanic-dataset-predictions", "kernel_id": "22728689"}, {"ref": "mazenahmed11/titanic-data-science-solutions", "kernel_id": "22613760"}, {"ref": "matzoer/notebook5adb47a2f0", "kernel_id": "22213459"}, {"ref": "prashantmane92/titanic-prediction", "kernel_id": "22787035"}, {"ref": "krishalarunkumarlad/first-kaggle-competition-titanic-dataset", "kernel_id": "22854814"}, {"ref": "hezkydoc/start-with-clust-and-class-with-fe", "kernel_id": "22686152"}, {"ref": "flafuji/titanic-eda-model-top-percentile-explained", "kernel_id": "22598262"}, {"ref": "flafuji/titanic-eda-model-top-percentile-explained-intro", "kernel_id": "22617590"}, {"ref": "emansalah2000/titanic-sub", "kernel_id": "22601236"}, {"ref": "tahereh13/notebook-01", "kernel_id": "22062353"}, {"ref": "prosperalikizang/my-titanic-sub", "kernel_id": "22644199"}, {"ref": "vedantdilipkadu/slayers-ml-final-project", "kernel_id": "22587612"}, {"ref": "elhabti/titanic-ml", "kernel_id": "22763903"}, {"ref": "victorragazzi/exercicioml1", "kernel_id": "22381918"}, {"ref": "primankaden/titanic-data-preprocessing", "kernel_id": "22168407"}, {"ref": "dorothylee238/py-t1-1-iqr-expected-questions", "kernel_id": "22231989"}, {"ref": "dorothylee238/t2-1-titanic-simple-baseline", "kernel_id": "22509780"}, {"ref": "ooolgalu/fork-of-titanic-disaster-v3", "kernel_id": "22616453"}, {"ref": "ooolgalu/titanic-disaster-2022-pie-chart", "kernel_id": "22527331"}, {"ref": "ooolgalu/titanic-disaster", "kernel_id": "22340798"}, {"ref": "sarvekblaze/titanic-problem-data-cleaning", "kernel_id": "22856198"}, {"ref": "taikiikuta/titanic-pycaret-auto-modeling", "kernel_id": "22473532"}, {"ref": "hise1031/logistic-titanic-predict", "kernel_id": "22551766"}, {"ref": "samuelnordmann/titanic-binary-classification", "kernel_id": "22412742"}, {"ref": "xicomzt/titanic-ml-analysis", "kernel_id": "22945535"}, {"ref": "rhythmcam/pandas-basic-convert-column-type", "kernel_id": "22024846"}, {"ref": "rhythmcam/titanic-quick-onetime-preprocess", "kernel_id": "22003418"}, {"ref": "rhythmcam/r-basic-select-filter-arrange-usage", "kernel_id": "22097205"}, {"ref": "rhythmcam/titanic-eda-quick-eda-for-quick-eda", "kernel_id": "22088423"}, {"ref": "rhythmcam/r-basic-get-row-and-column", "kernel_id": "22112016"}, {"ref": "rhythmcam/json-basic-df-json-file-df", "kernel_id": "22075324"}, {"ref": "rhythmcam/r-basic-logistic-classification-titanic", "kernel_id": "22078170"}, {"ref": "rhythmcam/python-basic-make-dataclass-using-make-dataclass", "kernel_id": "22146492"}, {"ref": "rhythmcam/randomforest-using-oob-score", "kernel_id": "22224545"}, {"ref": "rhythmcam/stacking-basic-oof-stacking", "kernel_id": "22210141"}, {"ref": "rhythmcam/sklearn-metrics-basic-model-evaluation", "kernel_id": "22203217"}, {"ref": "rhythmcam/r-basic-summarise-by-group-usage", "kernel_id": "22175297"}, {"ref": "rhythmcam/numpy-basic-array-split-usage", "kernel_id": "22177576"}, {"ref": "rhythmcam/gridsearchcv-gbm-cross-validate", "kernel_id": "22185332"}, {"ref": "rhythmcam/re-basic-regular-expression-usage", "kernel_id": "22191655"}, {"ref": "rhythmcam/ppscore-basic-feature-importance-score", "kernel_id": "22366993"}, {"ref": "rhythmcam/flashtext-basic-keywordprocessor-word-cloud", "kernel_id": "22373506"}, {"ref": "rhythmcam/dabl-basic-titanic-baseline-prediction", "kernel_id": "22372288"}, {"ref": "rhythmcam/autoviz-basic-graphic-eda-insight", "kernel_id": "22427274"}, {"ref": "rhythmcam/plot-scatter-matplot-seaborn-plotly", "kernel_id": "22332003"}, {"ref": "rhythmcam/pandas-basic-query-usage", "kernel_id": "22331773"}, {"ref": "rhythmcam/keras-tuner-randomforest-titanic", "kernel_id": "22357080"}, {"ref": "rhythmcam/autokeras-titanic-prediction", "kernel_id": "22352148"}, {"ref": "rhythmcam/pandas-basic-get-rows-by-and-or-condition", "kernel_id": "22255824"}, {"ref": "rhythmcam/function-devide-column-by-type", "kernel_id": "22253463"}, {"ref": "rhythmcam/ast-basic-string-expression", "kernel_id": "22238117"}, {"ref": "rhythmcam/columntransformer-basic-gridsearchcv", "kernel_id": "22727556"}, {"ref": "rhythmcam/pandas-basic-apply-usage-play-with-name-column", "kernel_id": "22715370"}, {"ref": "rhythmcam/automl-autoxgb-titanic", "kernel_id": "22614936"}, {"ref": "rhythmcam/time-check-basic-time-timeit-timeit-time", "kernel_id": "22610263"}, {"ref": "rhythmcam/default-cbm-many-seed-predict", "kernel_id": "22591952"}, {"ref": "rhythmcam/simple-catboost-gpu", "kernel_id": "22591503"}, {"ref": "rhythmcam/optuna-basic-get-lgbm-best-parameter", "kernel_id": "22526106"}, {"ref": "rhythmcam/svm-hyper-basic-c-gamma-usage", "kernel_id": "22532149"}, {"ref": "rhythmcam/iris-lda", "kernel_id": "22537750"}, {"ref": "rhythmcam/shutil-basic-make-archive-usage", "kernel_id": "22485755"}, {"ref": "rhythmcam/automl-tpot-remove-outlier", "kernel_id": "22887181"}, {"ref": "rhythmcam/autogluon-titanic-remove-outliers", "kernel_id": "22892763"}, {"ref": "rhythmcam/r-titanic-nn-80", "kernel_id": "22894373"}, {"ref": "rhythmcam/scipy-stats-basic-skew-usage", "kernel_id": "22818311"}, {"ref": "rhythmcam/seaborn-basic-draw-multi-plots", "kernel_id": "22819299"}, {"ref": "rhythmcam/function-all-continuous-column-hist-plot", "kernel_id": "22806790"}, {"ref": "rhythmcam/seaborn-basic-jointplot-jointgrid", "kernel_id": "22842769"}, {"ref": "rhythmcam/seaborn-basic-ecdfplot-vs-displot-kind-ecdf", "kernel_id": "22862641"}, {"ref": "rhythmcam/pandas-basic-auto-cut-labeling-titanic", "kernel_id": "22797274"}, {"ref": "rhythmcam/adaboost-titanic-prediction", "kernel_id": "22735781"}, {"ref": "rhythmcam/function-show-model-evaluation", "kernel_id": "22738323"}, {"ref": "rhythmcam/titanic-auto-qcut-labeling-xgbm-prediction", "kernel_id": "22736131"}, {"ref": "rhythmcam/function-remove-auto-outlier", "kernel_id": "22742057"}, {"ref": "rhythmcam/titanic-r-basic-randomforest", "kernel_id": "22743476"}, {"ref": "rhythmcam/r-automl-h2o-titanic", "kernel_id": "22748241"}, {"ref": "kgg1ep/titanic-survivors", "kernel_id": "22165808"}, {"ref": "kokyongteo/titanic-submissions", "kernel_id": "22397220"}, {"ref": "sujvalrai/titanic-submit", "kernel_id": "22953747"}, {"ref": "nourhanalfalous/eda-to-prediction", "kernel_id": "22772950"}, {"ref": "scorpiuscoder/titanic-dataset-eda", "kernel_id": "22674345"}, {"ref": "yazanmajzob/auto-eda", "kernel_id": "22548626"}, {"ref": "yazanmajzob/titanic", "kernel_id": "22460896"}, {"ref": "rajeevnair676/titanic-eda-first-challenge", "kernel_id": "22817159"}, {"ref": "bekzatmadiyarov/bekzat", "kernel_id": "22115141"}, {"ref": "dscclass/simple-nn-with-python-multi-layer-perceptron", "kernel_id": "22071135"}, {"ref": "shardulpingale/eda-on-titanic-dataset-and-logistic-regression", "kernel_id": "22187617"}, {"ref": "asasasas12343212/titanic-randomforest", "kernel_id": "22118271"}, {"ref": "younghoonoh/py-t1-1-iqr", "kernel_id": "22307274"}, {"ref": "malaydhami/titanic-disaster", "kernel_id": "22736592"}, {"ref": "varaujo1991/vitovito-titanic-prediction", "kernel_id": "22341666"}, {"ref": "keranwang/titanic-prediction-using-gridsearchcv-and-xgboost", "kernel_id": "22118909"}, {"ref": "jordi25/py-t1-1-iqr-expected-questions", "kernel_id": "22485136"}, {"ref": "jordi25/t2-1-titanic-simple-baseline", "kernel_id": "22507369"}, {"ref": "rembayram/titanic", "kernel_id": "22334776"}, {"ref": "saravanan58/titanic-survivor-classification-my-first-kaggle", "kernel_id": "22780492"}, {"ref": "black99ylunar/titanic-data-model", "kernel_id": "22551247"}, {"ref": "vincentwainman/binary-classif-from-a-beginner-for-beginners", "kernel_id": "22472494"}, {"ref": "murtadhayaseen/titanic-advanced-feature-engineering-tuto-30c71c", "kernel_id": "22037019"}, {"ref": "kastonex/notebook2b9d18c379", "kernel_id": "22434844"}, {"ref": "jiiyeongkim/py-t1-1-iqr-expected-questions", "kernel_id": "22263654"}, {"ref": "jiiyeongkim/t2-1-titanic-simple-baseline", "kernel_id": "22463057"}, {"ref": "juniaa/simpl-nn-with-python-multi-layer-perceptr-b639b3", "kernel_id": "22496047"}, {"ref": "yuyuyuyuy/test-auc-0-775", "kernel_id": "22128214"}, {"ref": "yuyuyuyuy/py-t1-1-iqr-expected-questions", "kernel_id": "22453075"}, {"ref": "seholeee/t2-1-titanic-simple-baseline", "kernel_id": "22321615"}, {"ref": "sohailmasood/modelling-overview-classification", "kernel_id": "22257015"}, {"ref": "misterdarwin/notebook43fb9b0964", "kernel_id": "22143608"}, {"ref": "luisadrianerazo/proyecto-titanic-data-mining", "kernel_id": "22355872"}, {"ref": "sahithipv/titanic-ml-eda", "kernel_id": "22736078"}, {"ref": "next1011/titanic-submission", "kernel_id": "22792838"}, {"ref": "kkyiu93/titanic-dataset-survival-prediction", "kernel_id": "22020429"}, {"ref": "pooyadanandeh/predict-on-titanic", "kernel_id": "22713180"}, {"ref": "sdk2k01/eda-titanic-1", "kernel_id": "22675621"}, {"ref": "abdullah3yad/titanic-passengers-classification", "kernel_id": "22441068"}, {"ref": "dragonnn/getting-started-with-titanic", "kernel_id": "22390289"}, {"ref": "azi192012/titanic-dataset-model-comparison-logistic-vs-knn", "kernel_id": "22884989"}, {"ref": "mayowaakinmolayan/getting-started-with-titanic", "kernel_id": "22956733"}, {"ref": "deborahcrawford/notebook4d30caf51f", "kernel_id": "22046751"}, {"ref": "bryantjandra/titanic", "kernel_id": "22714170"}, {"ref": "bryantjandra/notebook13774266f7", "kernel_id": "22746049"}, {"ref": "himanshusirsat/titanic-ml", "kernel_id": "22986999"}, {"ref": "manikantabathula123/titanic-passengers-life-expectancy", "kernel_id": "22187903"}, {"ref": "givemethat/titanic-draft-v4", "kernel_id": "22238709"}, {"ref": "saidaka/data-science", "kernel_id": "22085050"}, {"ref": "aadityabansalomg/team-elite4", "kernel_id": "22488515"}, {"ref": "robdogan/knn-x-naive-bayes", "kernel_id": "22101262"}, {"ref": "imams2000/most-useful-custom-pandas-function-custom-autoeda", "kernel_id": "22035634"}, {"ref": "nerdgeek/titanic-survival-prediction", "kernel_id": "22526920"}, {"ref": "harivignesh11/notebook1e32b08945", "kernel_id": "22694376"}, {"ref": "sreebink/my-first-kaggle-notebook-titanic", "kernel_id": "22537407"}, {"ref": "hoaithuong1903/titanic-pipeline-dataprep", "kernel_id": "22348147"}, {"ref": "marwinsolomon/titanic-ml-model", "kernel_id": "22675698"}, {"ref": "wassimchouchen/titanic", "kernel_id": "22729944"}, {"ref": "dagaca/dagaca-titanik-eda", "kernel_id": "22010178"}, {"ref": "arslanrisalat/rms-titanic-survival-prediction-my-approach", "kernel_id": "22633872"}, {"ref": "victordonjuan/my-titanic-score-0-79186-with-random-forest", "kernel_id": "22798211"}, {"ref": "wuzhangping/getting-started-with-titanic", "kernel_id": "22052595"}, {"ref": "moonssong/t2-1-titanic-simple-baseline", "kernel_id": "22174354"}, {"ref": "widhimahardidarma/1-day-lear-ml", "kernel_id": "22682420"}, {"ref": "christianvieweg/my-titanic-notebook", "kernel_id": "22587183"}, {"ref": "gustavoruizh/first-competition-titanic", "kernel_id": "22690835"}, {"ref": "abhishekacharjee/titanic-eda-and-data-wrangling", "kernel_id": "22346711"}, {"ref": "m0hammednasser/titanic", "kernel_id": "22903396"}, {"ref": "stephencox13/solving-a-classification-problem-with-knn", "kernel_id": "22020352"}, {"ref": "advaitchavan/titanic-survival-analysis", "kernel_id": "22999190"}, {"ref": "yuyougnchan/titanic-eda-visualization-prediction-baseline", "kernel_id": "22206180"}, {"ref": "yuyougnchan/look-at-this-note-numeric-variable-is-easy", "kernel_id": "22322709"}, {"ref": "yuyougnchan/look-at-this-note-category-type-is-easy", "kernel_id": "22333896"}, {"ref": "dhinaharp/titanic-using-naive-bayes", "kernel_id": "22260910"}, {"ref": "dhinaharp/titanic-dataset-80-accuracy", "kernel_id": "22784142"}, {"ref": "rahulyadav0710/titanic-problem", "kernel_id": "22266497"}, {"ref": "devangvinci/titanic-my-first-ml-prediction-model", "kernel_id": "22727490"}, {"ref": "emre1k/titanic-svm", "kernel_id": "22372718"}, {"ref": "yypursuit/yypursuit", "kernel_id": "22062151"}, {"ref": "kalelpark/hey-kaggler-merry-christmas-see-christmas-tree", "kernel_id": "22993234"}, {"ref": "kalelpark/kaggle-titanic-for-korean", "kernel_id": "22790450"}, {"ref": "southeslem/titanic-taisumov", "kernel_id": "22215997"}, {"ref": "shustikovvladislav/notebook5477b69ba9", "kernel_id": "22938283"}, {"ref": "glendaleal/trabajo-final-titanic", "kernel_id": "22547665"}, {"ref": "estefanygalvez/notebookec3bb14933", "kernel_id": "22670593"}, {"ref": "jesusduranrios/examen-duran-titanic-parte-final", "kernel_id": "22554435"}, {"ref": "mayurdalvi/machine-learning-pipelines-a-z-guide", "kernel_id": "22004297"}, {"ref": "sujaykapadnis/get-started-with-model-ensemble", "kernel_id": "22079362"}, {"ref": "guddetinareshreddy/titanic", "kernel_id": "22603027"}, {"ref": "shayezer/prediction-using-sgd-and-mlp", "kernel_id": "22007561"}, {"ref": "arshadp/titanic", "kernel_id": "22942648"}, {"ref": "sumeetbohra/eda-fe-ensemble-learning-curves", "kernel_id": "22947486"}, {"ref": "sumeetbohra/titanic-gradientboostingclassifier", "kernel_id": "22831032"}, {"ref": "sumeetbohra/titanic-svc-and-randomforestclassifier", "kernel_id": "22533551"}, {"ref": "alikhaledjr/titanic-data-analysis", "kernel_id": "22167760"}, {"ref": "stanlyso/notebook38272c5be7", "kernel_id": "22997423"}, {"ref": "iamlividguy/rms-titanic-first-attempt", "kernel_id": "22035816"}, {"ref": "tatyy555/1st-submission-to-kaggle-titanic-japanese", "kernel_id": "22418368"}, {"ref": "bhuwanchandra11/my-first-competition-solution", "kernel_id": "22865309"}, {"ref": "sonisli/20211115-titanic-analysis", "kernel_id": "22024770"}, {"ref": "yasnunsal/yasintitanic-eda", "kernel_id": "22869295"}, {"ref": "sofierasmussen/titanicdone", "kernel_id": "22605520"}, {"ref": "lottoexpecter/case-study-titanic-simple", "kernel_id": "22260913"}, {"ref": "kubrahelvacioglu/titanic-analysis", "kernel_id": "22623642"}, {"ref": "sohomb91/rms-titanic-survival-analysis-final", "kernel_id": "22348440"}, {"ref": "limmyoungjin/r-t1-1-iqr-expected-questions-2", "kernel_id": "22404040"}, {"ref": "hnnnnhh/py-t1-1-iqr-expected-questions", "kernel_id": "22503603"}, {"ref": "mesutbilgin/titanic-dataset-with-boosting-models", "kernel_id": "22869979"}, {"ref": "swetakumarishaw/titanic-model-prediction", "kernel_id": "22588405"}, {"ref": "pollcrater/getting-started-with-titanic", "kernel_id": "22720849"}, {"ref": "alroger/titanic-notebook", "kernel_id": "22940380"}, {"ref": "johyunkang/py-t1-1-iqr-script-type", "kernel_id": "22507449"}, {"ref": "alexanderbubnovman1/titanic", "kernel_id": "22186860"}, {"ref": "vinayakunde/titanic-survival-pred", "kernel_id": "22107054"}, {"ref": "elwinner23/lab2-ml", "kernel_id": "22710086"}, {"ref": "elwinner23/ml-lab2", "kernel_id": "22466282"}, {"ref": "ahmedsta/titanic-99-accuracy", "kernel_id": "22902046"}, {"ref": "akshinguseinov/lab2ttnc", "kernel_id": "22742786"}, {"ref": "tkachevigor/ml-lab2-tkachev", "kernel_id": "22913057"}, {"ref": "sharumaan/titanic-logistic-regression", "kernel_id": "22219585"}, {"ref": "sh00t1/titanic-sub", "kernel_id": "22070206"}, {"ref": "sh00t1/titanic-simple-analysis", "kernel_id": "22041747"}, {"ref": "daniilseleznev/titanic-survive-eda-prediction", "kernel_id": "22133932"}, {"ref": "nithya01/titanic-dataset-first-kaggle-attempt", "kernel_id": "22038223"}, {"ref": "sfktrkl/titanic-votingclassifier-with-gridsearchcv", "kernel_id": "22892834"}, {"ref": "sfktrkl/titanic-hyperparameter-tuning-gridsearchcv", "kernel_id": "22360789"}, {"ref": "sulimanhaqqyarjan/titanic-ship-passengers-data-eda", "kernel_id": "22063773"}, {"ref": "sulimanhaqqyarjan/eda-and-feature-analysis-of-titanic-ship-incident", "kernel_id": "22063702"}, {"ref": "zaafirrahman/titanic-project", "kernel_id": "22717227"}, {"ref": "leeduckjin/py-t1-1-iqr-expected-questions", "kernel_id": "22201554"}, {"ref": "jogejung/py-t1-1-iqr-2", "kernel_id": "22210551"}, {"ref": "jogejung/https-www-kaggle-com-agileteam-bigdatacertificat", "kernel_id": "22214170"}, {"ref": "jogejung/fork-of-py-t1-1-iqr-3", "kernel_id": "22407400"}, {"ref": "sukyoungjeong/titanic-sample", "kernel_id": "22404054"}, {"ref": "zzettrkalpakbal/titanic", "kernel_id": "22073425"}, {"ref": "mingwayne/titanic-probabilistic-generative-model", "kernel_id": "22142584"}, {"ref": "dylanyves/titanic-prediction", "kernel_id": "22833988"}, {"ref": "greshmapk/titanic-classification", "kernel_id": "22952474"}, {"ref": "parvathicg/titanic", "kernel_id": "22857369"}, {"ref": "abdulrayyan/titanic-classification", "kernel_id": "22925903"}, {"ref": "harshitpatel08/titanic-survival-prediction-complete-analysis", "kernel_id": "22395108"}, {"ref": "sholatut/titanic-code", "kernel_id": "22198068"}, {"ref": "sholatut/titanic-code-fix", "kernel_id": "22983432"}, {"ref": "chelikanatalia/learning-with-titanic-dataset", "kernel_id": "22927741"}, {"ref": "niekvanderzwaag/titanic-eda", "kernel_id": "22699859"}, {"ref": "alcidesgabriel/titanic-task-4-machine-learning-models", "kernel_id": "22292881"}, {"ref": "sarayavari/knn-tintanic", "kernel_id": "22878372"}, {"ref": "apanpa/started-titanic", "kernel_id": "22743208"}, {"ref": "samadazimiabriz/knn-titanic", "kernel_id": "22800089"}, {"ref": "samadazimiabriz/logistic-regression-titanic", "kernel_id": "22773333"}, {"ref": "sdfsd3/titanic-disaster-survival-prediction", "kernel_id": "22222654"}, {"ref": "alishah975/titanic-eda-and-feature-engineering", "kernel_id": "22003448"}, {"ref": "cryptomeria/fork-of-getting-started-with-titanic", "kernel_id": "22948212"}, {"ref": "nasiyeyldrm/nasiye-titanik-eda", "kernel_id": "22748223"}, {"ref": "lvarosncheztrtola/ml-dl-logistic-regression", "kernel_id": "22358177"}, {"ref": "patricksto/exercise-3-titanic", "kernel_id": "22216274"}, {"ref": "therockk/titanic-basic-visualization", "kernel_id": "22932957"}, {"ref": "juliavassilenko/laba2", "kernel_id": "22745657"}, {"ref": "banksn/final-neural-network-titanic-survival-challenge", "kernel_id": "22872362"}, {"ref": "hanzhangye/notebookcedb56fe8a", "kernel_id": "22030251"}, {"ref": "raghavverma11/titanic-classification-survival-preds", "kernel_id": "22032949"}, {"ref": "joaopedroribeirorosa/projetocs-titanic", "kernel_id": "22169779"}, {"ref": "mindingkang97/t2-1-titanic-classification", "kernel_id": "22401078"}, {"ref": "vaibhavchanne/getting-started-with-titanic", "kernel_id": "22154674"}, {"ref": "kikasilva/notebooka7157fda28", "kernel_id": "22524802"}, {"ref": "donsafar/titanic-ml-comp", "kernel_id": "22651098"}, {"ref": "elfein/assignment-1-titanic", "kernel_id": "22029302"}, {"ref": "bitguber/scratch-model", "kernel_id": "22492931"}, {"ref": "bell2psy/notebookd394ae21f1", "kernel_id": "22003831"}, {"ref": "bell2psy/py-t1-1-iqr-expected-questions", "kernel_id": "22513893"}, {"ref": "noahyt1/titanic-classification-survival-preds", "kernel_id": "22006692"}, {"ref": "dwaynesu/mmai5000-titanic-solutions", "kernel_id": "22077832"}, {"ref": "jusnoss/t20240601", "kernel_id": "22297245"}, {"ref": "jhadescends/my-first-shot-at-titanic-problem", "kernel_id": "22533713"}, {"ref": "mohamedhaitamlaktiti/exercice-titanic", "kernel_id": "22594777"}, {"ref": "kadirdrgn/titanic-eda", "kernel_id": "22165784"}, {"ref": "getexcelsior/titanic-dataset-prediction-of-survival", "kernel_id": "22477433"}, {"ref": "gautamtyagi07/notebook97fa03c896", "kernel_id": "22073132"}, {"ref": "ajayksingh0/titanic-classification-survival-preds", "kernel_id": "22086654"}, {"ref": "kozhanazerke/titanic-simple-solution-top-9-9124ab", "kernel_id": "22103718"}, {"ref": "soloveve/titanic", "kernel_id": "22533984"}, {"ref": "andreluizsouza2030/titanic-eda-data-cleaning-for-newcomers", "kernel_id": "22092577"}, {"ref": "ernestli1995/250746989-titanic", "kernel_id": "22651314"}, {"ref": "exiaoseiei/titanic", "kernel_id": "22105768"}, {"ref": "miteshchaudhary/titanic-machine-learning-from-disaster", "kernel_id": "22967914"}, {"ref": "black3279/titanic-notebook01", "kernel_id": "22115236"}, {"ref": "pedrofurlanj/notebook453e3ca9f5", "kernel_id": "22122443"}, {"ref": "clairechoi80/py-t1-1-iqr-expected-questions", "kernel_id": "22225147"}, {"ref": "polinadubatovka/titanic", "kernel_id": "22340446"}, {"ref": "svnsdhananjayreddy/titanic-machine-learning-from-disaster", "kernel_id": "22405732"}, {"ref": "fabianstiegler/logistic-regression-titanic", "kernel_id": "22375857"}, {"ref": "khushboogoswami/notebookbad6841152", "kernel_id": "22885303"}, {"ref": "unclecho/py-t1-1-iqr-expected-questions", "kernel_id": "22239477"}, {"ref": "churros247/getting-started-with-titanic", "kernel_id": "22465658"}, {"ref": "milenamiskevich/titanic-competition", "kernel_id": "22444332"}, {"ref": "bhawir/bhawna-r-titan", "kernel_id": "22741003"}, {"ref": "simonhm/decision-tree-and-knn", "kernel_id": "22476062"}, {"ref": "husnakhan/titanic-survival-eda-classification-imputation", "kernel_id": "22925622"}, {"ref": "yoonsun222/py-t1-1-iqr-expected-questions", "kernel_id": "22240683"}, {"ref": "yoonsun222/t2-1-titanic-simple-baseline", "kernel_id": "22453595"}, {"ref": "yugorshkov/titanic-simple-solution-eda-rf-eng-rus", "kernel_id": "22792951"}, {"ref": "belbarashy/feateng-l3", "kernel_id": "22243500"}, {"ref": "vladrossohin/notebook82ee297449", "kernel_id": "22269531"}, {"ref": "sergeishirkin/notebookfe3123214d", "kernel_id": "22270326"}, {"ref": "aschittko/titanic", "kernel_id": "22275763"}, {"ref": "tommysymalla/homework4-cs-4375", "kernel_id": "22283653"}, {"ref": "xuannaf/spark-classification", "kernel_id": "22933918"}, {"ref": "xuannaf/forfirend123", "kernel_id": "22903946"}, {"ref": "xuannaf/titanic", "kernel_id": "22294375"}, {"ref": "anjeeyun/ml-titanic-machine-learning-from-disaster", "kernel_id": "22368148"}, {"ref": "iamtossan/machine-learning-practice", "kernel_id": "22560855"}, {"ref": "wovoio/titanic-191310308", "kernel_id": "22756723"}, {"ref": "sakiyama3/xgboost", "kernel_id": "22446005"}, {"ref": "sakiyama3/notebook48bcb68fd1", "kernel_id": "22919568"}, {"ref": "minamiii/notebookaa2668aa1f", "kernel_id": "22390560"}, {"ref": "goutamrathod2247/titanic-eda", "kernel_id": "22401590"}, {"ref": "duykhanghuynh/first-kaggle-titanic", "kernel_id": "22349660"}, {"ref": "sergeytroschiev/titanic-large-eda-catboost-optuna", "kernel_id": "22776398"}, {"ref": "neeleshj/titanic-survival-predictions", "kernel_id": "22365932"}, {"ref": "bogo1991/my-approach-to-titanic-dataset-r", "kernel_id": "22570572"}, {"ref": "logeshkumarg/logesh-titanic", "kernel_id": "22748830"}, {"ref": "devashripatel42/notebookb5af9da972", "kernel_id": "22735561"}, {"ref": "emirsen/titanic-notebook", "kernel_id": "22469254"}, {"ref": "lakshiminaraayani/lakshimi-titanic", "kernel_id": "22747325"}, {"ref": "shirodkarsmruti/project-ds-titanic-kaggle-1", "kernel_id": "22747538"}, {"ref": "nduatikuria/titanic-survival", "kernel_id": "22460149"}, {"ref": "danielandzelevich/titanic-experiment", "kernel_id": "22400558"}, {"ref": "ahmedameenhassan/titanic", "kernel_id": "22953858"}, {"ref": "kiyooffc/titanic-eda-and-prediction-roc-curve", "kernel_id": "22814021"}, {"ref": "nitheshraj/titanic-prediction", "kernel_id": "22953652"}, {"ref": "lebyby/ml2-notebook", "kernel_id": "22701314"}, {"ref": "mgamal91/titanic-model-first-kaggle-challenge", "kernel_id": "22501749"}, {"ref": "veronikasmirnova/smirnovavs-lab2", "kernel_id": "22964914"}, {"ref": "fhmeta/titanic", "kernel_id": "22469235"}, {"ref": "zhouborong/titanicccc", "kernel_id": "22607553"}, {"ref": "suprithahalesh/titanic-ml", "kernel_id": "22953423"}, {"ref": "dreamleaf/first-practice", "kernel_id": "22536866"}, {"ref": "devkumar97/titanic-competebook", "kernel_id": "22504472"}, {"ref": "humanlearning26/notebook42048f3925", "kernel_id": "22517856"}, {"ref": "sandeepchatuphale/titanic-model-by-sandeep-c", "kernel_id": "22531175"}, {"ref": "mercerk/my-first-datascience-projekt", "kernel_id": "22703683"}, {"ref": "andreyshestaev/labor2", "kernel_id": "22709896"}, {"ref": "aidachernyavskaya/titanic", "kernel_id": "22642826"}, {"ref": "jtjohnbailey/hw-wk15", "kernel_id": "22559347"}, {"ref": "uihcsiri/titanic-202201", "kernel_id": "22603252"}, {"ref": "eltond/titanic-ml-2021", "kernel_id": "22889951"}, {"ref": "nicolas822/notebook2644cf10fa", "kernel_id": "22589890"}, {"ref": "luizmm/notebookc3b4c01312", "kernel_id": "22607473"}, {"ref": "serena82/notebook587db1d5ae", "kernel_id": "22607070"}, {"ref": "ro1987/notebook9c1b42e78a", "kernel_id": "22591529"}, {"ref": "reinaldom78/notebook67b951d380", "kernel_id": "22591727"}, {"ref": "iannaki/titanic-survival-eda-ml-pipeline", "kernel_id": "22729621"}, {"ref": "larulog/titanic-eda", "kernel_id": "22937632"}, {"ref": "sellarodrigo/notebook3135e12c21", "kernel_id": "22616205"}, {"ref": "juliaxavier12/notebook53eaa3d4c6", "kernel_id": "22724338"}, {"ref": "sumankumar2508/getting-started-with-titanic-sumankumar", "kernel_id": "22826767"}, {"ref": "heucym/titanic-acc78-468", "kernel_id": "22699288"}, {"ref": "loshwick/titanic-may-the-jack-be-saved", "kernel_id": "22698524"}, {"ref": "tetra45/titanic-ml-start", "kernel_id": "22995325"}, {"ref": "egortuliandin/teati", "kernel_id": "22931851"}, {"ref": "emiln7/titanic-catboost-solution", "kernel_id": "22886682"}, {"ref": "tryingtraining/titanictry", "kernel_id": "22709736"}, {"ref": "zhangjiyuannnn/notebook668996a40a", "kernel_id": "22762788"}, {"ref": "sanchitkarakoti/logistic-regression-titanic", "kernel_id": "22782934"}, {"ref": "mehmetpek/titanik-eda", "kernel_id": "22881542"}, {"ref": "konstantinoskontovas/titanic", "kernel_id": "22762662"}, {"ref": "justinm13/titanic", "kernel_id": "22775963"}, {"ref": "www1216/kcf-titanic-tutorial", "kernel_id": "22790342"}, {"ref": "kirsonbrz/titanic-830804", "kernel_id": "22886536"}, {"ref": "jaredscolaro/titanic-logistic-regression-and-decision-tree", "kernel_id": "22798317"}, {"ref": "franckeandrej/titanic-to-beginner", "kernel_id": "22951581"}, {"ref": "vampire01/notebookb52c750fc7", "kernel_id": "22821615"}, {"ref": "leonidspiridonov/notebook0de19df5b8", "kernel_id": "22851194"}, {"ref": "lxxmik/ml2-5chr", "kernel_id": "22871850"}, {"ref": "avaharris/titanic-model-first-kaggle-challenge", "kernel_id": "22877988"}, {"ref": "chimchoppa/titanic-8308-smi", "kernel_id": "22887053"}, {"ref": "rmnv1488/shubinov-8308", "kernel_id": "22895147"}, {"ref": "castletaco/getting-started-with-titanic", "kernel_id": "22956030"}, {"ref": "gourisaha/gouri-titanic-eda", "kernel_id": "22954249"}, {"ref": "paulmineau/titanic-advanced-feature-engineering-tutorial", "kernel_id": "23351069"}, {"ref": "mariofilho/nn-work-v2", "kernel_id": "23850243"}, {"ref": "yoggibear6/running-titanic-on-sklearn-pipelines", "kernel_id": "23873783"}, {"ref": "ging21/titanic-prediction", "kernel_id": "23778661"}, {"ref": "currypurin/tutorial-of-kaggle-ver6-ch6", "kernel_id": "23588450"}, {"ref": "currypurin/tutorial-of-kaggle-ver6-ch4", "kernel_id": "23094381"}, {"ref": "currypurin/tutorial-of-kaggle-ver6-ch3-3", "kernel_id": "23093038"}, {"ref": "currypurin/tutorial-of-kaggle-ver6-ch3-2", "kernel_id": "23091253"}, {"ref": "currypurin/tutorial-of-kaggle-ver6-ch5", "kernel_id": "23112103"}, {"ref": "coldfir3/pycaret-titanic", "kernel_id": "23975587"}, {"ref": "coldfir3/aula-titanic", "kernel_id": "23974208"}, {"ref": "ramkumarkr/decision-tree-no-feature-engg", "kernel_id": "23878400"}, {"ref": "yashk1/applying-svc-and-rf-classifier-on-titanic-data", "kernel_id": "23949275"}, {"ref": "sabrinazuraimi/titanic-notebook", "kernel_id": "23398911"}, {"ref": "prasaanth96/titanicsurvivalanalysis-logisticregression-nb", "kernel_id": "23916006"}, {"ref": "illydahan/notebookf0afa8d780", "kernel_id": "23881725"}, {"ref": "vbmokin/titanic-predict-using-a-simple-bayesian-network", "kernel_id": "23622811"}, {"ref": "njelicic/nicks-sub", "kernel_id": "23945966"}, {"ref": "huangxiaowei/a-simple-baseline-for-beginner", "kernel_id": "23640164"}, {"ref": "romantz/hyperparameter-optimization-with-hyperopt-and-ray", "kernel_id": "23788797"}, {"ref": "franksunp/titanic-interactive-visualization-with-shinyapp", "kernel_id": "23711337"}, {"ref": "usernamedatascience/random-forest-titanic-competition", "kernel_id": "23619564"}, {"ref": "dellalkhaled/titanic-prediction-with-cart-tree-v-0-0-1", "kernel_id": "23273075"}, {"ref": "nataliperu/introducci-n-al-titanic-v1", "kernel_id": "23571805"}, {"ref": "tomo1298/python-kaggle-start-book-ch02-01", "kernel_id": "23896405"}, {"ref": "tylerjthomas9/julia-boosting-baseline-with-evotrees-titanic", "kernel_id": "23750258"}, {"ref": "minaatef/titanic-prediction-survive", "kernel_id": "23843291"}, {"ref": "stpeteishii/titanic-xgboost-with-tsfresh", "kernel_id": "23732839"}, {"ref": "stpeteishii/random-forest-benchmark-r-python", "kernel_id": "23784934"}, {"ref": "bvldgit/titanic", "kernel_id": "23110866"}, {"ref": "krame490/multiple-approaches-annotated", "kernel_id": "23462118"}, {"ref": "mythrex/titanic", "kernel_id": "23416587"}, {"ref": "bohdanpas/titanic-simple-decision-tree", "kernel_id": "23390301"}, {"ref": "mmellinger66/logistic-regression-series", "kernel_id": "23423353"}, {"ref": "juliastencel/titanic-logistic-regression", "kernel_id": "23720162"}, {"ref": "nishitabhatankar/titanic-data-analysis", "kernel_id": "23395334"}, {"ref": "kezifice/fork-of-titanic-kezif", "kernel_id": "23701818"}, {"ref": "telawang/titanic-gradient-boost", "kernel_id": "23976769"}, {"ref": "hamdiy/yeni-baslayanlar-icin-titanik-cozumleri-turkce-t", "kernel_id": "23565894"}, {"ref": "hasanbasriakcay/baseline-models-clf-random-ml-automl", "kernel_id": "23813166"}, {"ref": "vishnukhanth/titanic", "kernel_id": "23958967"}, {"ref": "jeshuacn/titanic-with-models-comparison", "kernel_id": "23543521"}, {"ref": "pycoders/titanic-ch", "kernel_id": "23831707"}, {"ref": "startpuneet/titanic-lets-do-it", "kernel_id": "23405576"}, {"ref": "poriz123/titanic-decision-tree", "kernel_id": "23839095"}, {"ref": "princeneo/titanic-classification", "kernel_id": "23458415"}, {"ref": "shinjk/setup-for-hyper-params-tuning-ipynb", "kernel_id": "23932351"}, {"ref": "shinjk/hyper-params-tune-ipynb", "kernel_id": "23809136"}, {"ref": "pranavdhawan/getting-started-with-titanic", "kernel_id": "23714882"}, {"ref": "meikilai/titanic-model", "kernel_id": "23991759"}, {"ref": "arnrob/titanic-kiss-is-important-but-no-kiss-is-fun", "kernel_id": "23289324"}, {"ref": "huangjingstark/steps-explanation-multiple-models-comparison", "kernel_id": "23988733"}, {"ref": "williamhaworth/getting-started-with-kaggle", "kernel_id": "23706374"}, {"ref": "kirolosatef/titanic-machine-learning-from-disaster", "kernel_id": "23877260"}, {"ref": "shengjielin83/titanic", "kernel_id": "23253716"}, {"ref": "maheshpatapalli/titanic-reborn-torch-edition-1", "kernel_id": "23722136"}, {"ref": "balajinandikolla/getting-started-with-titanic", "kernel_id": "23688619"}, {"ref": "dominedgar/data-literacy-titanic-ver-1", "kernel_id": "23384168"}, {"ref": "dhruvildave/d3-js-jupyter", "kernel_id": "23913358"}, {"ref": "aafiyahussain/titanic-cleaning-eda-and-model-building", "kernel_id": "23997838"}, {"ref": "zurriyatafatni/knn-titanic-prediction-model", "kernel_id": "23957574"}, {"ref": "shreya293/titanic-notebook", "kernel_id": "23745973"}, {"ref": "nourajo/titanic-eda", "kernel_id": "23975798"}, {"ref": "lonnieqin/titanic-prediction-with-fast-ai", "kernel_id": "23855362"}, {"ref": "balicien/titanic-visualization-and-feature-engineering", "kernel_id": "23743285"}, {"ref": "artemglazunov1990/titanic-starters-catboost-optuna-and-shap", "kernel_id": "23618943"}, {"ref": "waheb1988/titanic", "kernel_id": "23654259"}, {"ref": "burhangarari/prediction-using-decision-trees-on-titanic-dataset", "kernel_id": "23985453"}, {"ref": "rudrakshmakwana/xgboost-and-feature-importance", "kernel_id": "23773591"}, {"ref": "samhithvasikarla/titanic-dataset-with-0-8-accuracy-score", "kernel_id": "23113406"}, {"ref": "mehrariqbal/titanic", "kernel_id": "23289950"}, {"ref": "ohseokkim/titanic-hey-machine-tell-me-everything", "kernel_id": "23797594"}, {"ref": "sanjayanbu/titanic-survival-prediction", "kernel_id": "23849336"}, {"ref": "maunilshah/titanic-ml-from-disaster", "kernel_id": "23039785"}, {"ref": "ivanjovanovic555/titanic-first-experience", "kernel_id": "23416750"}, {"ref": "eavannan/titanic-simple-ml", "kernel_id": "23587005"}, {"ref": "benjamingray44/titanic-rf-classification", "kernel_id": "23613298"}, {"ref": "raunakingcoder/78-titanic-model-comparison", "kernel_id": "23448729"}, {"ref": "asmaeelghezzaz/notebookb96ea579cf", "kernel_id": "23417813"}, {"ref": "ameliakopotowska/notebook94375a8e98", "kernel_id": "23567840"}, {"ref": "anittajose/titanic-prediction", "kernel_id": "23718318"}, {"ref": "helgesander/ch-titanic", "kernel_id": "23749411"}, {"ref": "nurulaminrobin/titanic-data-science-solutions-d0aeff", "kernel_id": "23121518"}, {"ref": "nurulaminrobin/introduction-to-decision-trees-titanic-dataset", "kernel_id": "23782382"}, {"ref": "nurulaminrobin/exploring-survival-on-the-titanic", "kernel_id": "23782692"}, {"ref": "ibauman/prediction-using-decision-tree-cart", "kernel_id": "23001442"}, {"ref": "brendanartley/matplotlib-color-gradients", "kernel_id": "23802486"}, {"ref": "dhruvsikka/predicting-the-survival-of-titanic-passengers", "kernel_id": "23923957"}, {"ref": "kgxiao/top2-5-feature-processing-and-selection-model", "kernel_id": "23020427"}, {"ref": "kratikmehta57/titanic-dataset", "kernel_id": "23666012"}, {"ref": "ruchibhadauria/titanic", "kernel_id": "23556411"}, {"ref": "ubiratanfilho/titanic-with-xgboost", "kernel_id": "23591505"}, {"ref": "muheedmir/titanic-exploratory-data-analysis", "kernel_id": "23393130"}, {"ref": "ianbogley/titanic-predicting-survivors-with-tidymodels", "kernel_id": "23314468"}, {"ref": "arnoldcho/titanic-data-science-solutions-study", "kernel_id": "23941372"}, {"ref": "harrypink/titanic-ml", "kernel_id": "23612393"}, {"ref": "faridrizqis/titanic-using-pycaret-powerful-ml-library", "kernel_id": "23629829"}, {"ref": "muhramasaputra/titanic-competition", "kernel_id": "23568626"}, {"ref": "princessa/automatic-titanic-survival-prediction", "kernel_id": "23858094"}, {"ref": "jaynilvaidya/titanic", "kernel_id": "23820084"}, {"ref": "junior10/machine-learning-from-scratch", "kernel_id": "23890438"}, {"ref": "junior10/titanic-survival-prediction-end-to-end-ml-90-acc", "kernel_id": "23949341"}, {"ref": "ace991/titanic-dataset-ml", "kernel_id": "23678639"}, {"ref": "danielwe14/titanic-survival-prediction-using-random-forests", "kernel_id": "23720719"}, {"ref": "henriqueweber/titanic-notebook", "kernel_id": "23731143"}, {"ref": "suraj452/survival-predictions", "kernel_id": "23772278"}, {"ref": "mohammadkumail/predict-titanic-survival", "kernel_id": "23571807"}, {"ref": "subibhat/lr-titanic", "kernel_id": "23117682"}, {"ref": "linhpho1/lp-titanic-submission-v01", "kernel_id": "23887888"}, {"ref": "linhpho1/lp-titanic-v01", "kernel_id": "23857971"}, {"ref": "mayaabasu/titanic", "kernel_id": "23938496"}, {"ref": "lekuid/titanic-eda-and-tf-model", "kernel_id": "23407741"}, {"ref": "egoesche/titanic-dataset", "kernel_id": "23680756"}, {"ref": "ededhiscalifh/titanic-eda-prediction", "kernel_id": "23601720"}, {"ref": "kartik2khandelwal/titanic-awesome-for-beginners", "kernel_id": "23048933"}, {"ref": "jarredpriester/using-a-neural-network-to-predict-titanic-survival", "kernel_id": "23459909"}, {"ref": "arijitbanerjee009/svm-ml-model", "kernel_id": "23697385"}, {"ref": "jiyeongyim/final-1", "kernel_id": "23936303"}, {"ref": "sardorabdirayimov/titanic-disaster-ml", "kernel_id": "23441857"}, {"ref": "sardorabdirayimov/intro-to-titanic", "kernel_id": "23406290"}, {"ref": "vivekzs/eda-univariate-campus-x", "kernel_id": "23071201"}, {"ref": "mohammadh128/notebook5dd100f30e", "kernel_id": "23477072"}, {"ref": "someetsingh/eda-logistic-regression-81", "kernel_id": "23635155"}, {"ref": "markvd/fork-of-titanic-final", "kernel_id": "23060690"}, {"ref": "devarshshah7796/titanic-20211212", "kernel_id": "23778864"}, {"ref": "juliakavadias/titanicsurvivalpredictionwithlogisticregression", "kernel_id": "23271607"}, {"ref": "ercantncy/titanic-logisticregression", "kernel_id": "23654363"}, {"ref": "tmcox903/titanic-machine-learning-from-disaster-real", "kernel_id": "23952363"}, {"ref": "nikosavgeros/titanic-seven-different-models", "kernel_id": "23391159"}, {"ref": "shinichioto/titanic-boosting-algorithm-and-other-model", "kernel_id": "23120585"}, {"ref": "shinichioto/gradientboosting-and-early-stopping", "kernel_id": "23257682"}, {"ref": "manavgarg663/titanic-disaster-prediction-with-random-forest", "kernel_id": "23580751"}, {"ref": "monikalca/titanic-machine-learning", "kernel_id": "23571074"}, {"ref": "cemaluk/pandas-exercises-titanic-tips-datasets", "kernel_id": "23402102"}, {"ref": "alicegao0111/titanic-workshop-complete", "kernel_id": "23620404"}, {"ref": "sssjhhh/titanic-beginner", "kernel_id": "23785657"}, {"ref": "arababudu/aba-titanic-v01", "kernel_id": "23919262"}, {"ref": "arababudu/aba-titanic-submission-v01", "kernel_id": "23974511"}, {"ref": "mikeypan0721/m-y-titanic-survival-predictions", "kernel_id": "23861417"}, {"ref": "junjie11/4-titanic-skills-learning-notebook", "kernel_id": "23980126"}, {"ref": "fayyadsalahat/titanic-survival", "kernel_id": "23744674"}, {"ref": "dev1111/titanic", "kernel_id": "23839915"}, {"ref": "deeprajvadhwane/outlier-the-silent-killer", "kernel_id": "23122337"}, {"ref": "adamparkosidis/titanic-predictions-using-logistic-regression", "kernel_id": "23666066"}, {"ref": "guriwaraich/titanic-survivors", "kernel_id": "23486255"}, {"ref": "nohrud/titanic-challenge-xgboost-deeplearning-etc", "kernel_id": "23399255"}, {"ref": "rhythmcam/panda-basic-function-devidecolumnsbytype", "kernel_id": "23731269"}, {"ref": "rhythmcam/titanic-autogluon-optimize-basic", "kernel_id": "23730747"}, {"ref": "rhythmcam/function-get-missing-data-count", "kernel_id": "23732191"}, {"ref": "rhythmcam/titanic-tpotclassifier-basic", "kernel_id": "23738792"}, {"ref": "rhythmcam/optuna-oof-titanic-prediction", "kernel_id": "23783605"}, {"ref": "rhythmcam/use-py-stratifiedshufflesplit-oof", "kernel_id": "23786279"}, {"ref": "rhythmcam/titanic-catboost-randomsearchcv-optimization", "kernel_id": "23835215"}, {"ref": "rhythmcam/titanic-lightgbm-randomsearchcv-optimization", "kernel_id": "23868508"}, {"ref": "rhythmcam/titanic-extratree-rscv", "kernel_id": "23897603"}, {"ref": "rhythmcam/titanic-decisiontree-rscv", "kernel_id": "23896802"}, {"ref": "rhythmcam/titanic-svm-rscv", "kernel_id": "23904659"}, {"ref": "rhythmcam/pycaret-basic-auto-classification-lightgbm", "kernel_id": "23514414"}, {"ref": "rhythmcam/find-titanic-outlier-using-pycaret-anomaly", "kernel_id": "23549020"}, {"ref": "rhythmcam/function-build-knn-model", "kernel_id": "23467079"}, {"ref": "rhythmcam/prediction-using-knn-model-py", "kernel_id": "23469166"}, {"ref": "rhythmcam/prediction-using-titanicprediction-class-80-6", "kernel_id": "23441222"}, {"ref": "rhythmcam/use-titanicprediction", "kernel_id": "23443815"}, {"ref": "rhythmcam/function-find-outlier-using-pycaret-anomaly", "kernel_id": "23567723"}, {"ref": "rhythmcam/autogluon-for-starter", "kernel_id": "23587701"}, {"ref": "rhythmcam/detect-outlier-py-usage", "kernel_id": "23234005"}, {"ref": "rhythmcam/function-make-training-folds-csv", "kernel_id": "23046852"}, {"ref": "rhythmcam/scipy-basic-stat-linregress-usage", "kernel_id": "23048283"}, {"ref": "rhythmcam/oof-prediction-using-n-fold-csv", "kernel_id": "23055850"}, {"ref": "rhythmcam/prediction-using-titanic-preprocess-py", "kernel_id": "23121995"}, {"ref": "rhythmcam/import-user-defined-py-file-and-use-function", "kernel_id": "23116931"}, {"ref": "rhythmcam/titanic-logisticregression-ramdomsearchcv-tuning", "kernel_id": "23966836"}, {"ref": "rhythmcam/titanic-gbm-ramdomsearchcv-tuning", "kernel_id": "23941064"}, {"ref": "rhythmcam/titanic-pycaretclassificationmodel-prediction", "kernel_id": "23942446"}, {"ref": "rhythmcam/titanic-adaboost-ramdomsearchcv-tuning", "kernel_id": "23996145"}, {"ref": "soumyadarshandash/exercise-functions-and-getting-help", "kernel_id": "23438469"}, {"ref": "akanshakhandelwal08/titanic", "kernel_id": "23011655"}, {"ref": "iamvarsh/titanicml", "kernel_id": "23998337"}, {"ref": "hritikchaturvedi/titanic-eda-random-forest-one-hot-encoding", "kernel_id": "23934857"}, {"ref": "vineet2626/titanic", "kernel_id": "23927601"}, {"ref": "bhingradiyameet/titanic", "kernel_id": "23839922"}, {"ref": "aerospacer/titanic-v1", "kernel_id": "23642576"}, {"ref": "safademirhan/titanic-classification-safa", "kernel_id": "23821417"}, {"ref": "burakguzeltepe/titanic-exp-data-analysis", "kernel_id": "23080528"}, {"ref": "jeevanantham006/titanic-model", "kernel_id": "23553320"}, {"ref": "jordanponath/titanic-project-notebook", "kernel_id": "23463357"}, {"ref": "prithasarkar1000/survival-prediction-of-titanic-passengers", "kernel_id": "23708723"}, {"ref": "muneebahmedabbasi/notebook46040cc72e", "kernel_id": "23827679"}, {"ref": "nilotpolekalita/titanic-disaster", "kernel_id": "23922661"}, {"ref": "mdsohailahmed/feature-saling-standardization-and-normalization", "kernel_id": "23910647"}, {"ref": "chandirakumarmuthu/titanic-survival-prediction-chandirakumar-muthu", "kernel_id": "23479340"}, {"ref": "maxcohen31/titanic-building-a-simple-pipeline", "kernel_id": "23270145"}, {"ref": "dannyycd/titanic-challenge-logistic-regression", "kernel_id": "23967993"}, {"ref": "suyeankim/first-kaggle-titanic", "kernel_id": "23699413"}, {"ref": "sanjayhovale/titanic-classification-random-forest", "kernel_id": "23611188"}, {"ref": "adnanaly/submission-titanic", "kernel_id": "23816783"}, {"ref": "fengyuli2002/titanic-common-models-performances", "kernel_id": "23749725"}, {"ref": "uom170346f/notebook-titanic", "kernel_id": "23957764"}, {"ref": "farhankarimapt/titanic-survival-data", "kernel_id": "23463178"}, {"ref": "rprkh15/titanic-survival-prediction", "kernel_id": "23632452"}, {"ref": "yaelmohaban/titanic-random-forest", "kernel_id": "23531288"}, {"ref": "mohdaim/titanic-revised-submission-83-on-val-88-on-test", "kernel_id": "23878498"}, {"ref": "matakahas/titanic-analysis", "kernel_id": "23543704"}, {"ref": "dsxavier/titanic-how-data-scientist-applies-analysis-ml", "kernel_id": "23722595"}, {"ref": "tanmayj3601/19bce089-dl-prac1", "kernel_id": "23840318"}, {"ref": "hastingssibanda/titanichs190122zw", "kernel_id": "23997338"}, {"ref": "emrearslan123/titanic-survival-prediction", "kernel_id": "23878435"}, {"ref": "draoumohcine/titanic-ml-model", "kernel_id": "23704779"}, {"ref": "justindickson/titanic", "kernel_id": "23686223"}, {"ref": "vinaykatkaggle/titanic-dataset", "kernel_id": "23476149"}, {"ref": "janaarthanaharri/titanic-notebook", "kernel_id": "23784761"}, {"ref": "dylanrollinss/titanic-notebook", "kernel_id": "23913132"}, {"ref": "riddhiz/titanic-test-1", "kernel_id": "23535735"}, {"ref": "otwooo/first-analysis-titanic", "kernel_id": "23016793"}, {"ref": "jeewonkoo/titanic", "kernel_id": "23924939"}, {"ref": "bharathkumarkathula/titanic-survival-pred", "kernel_id": "23587648"}, {"ref": "anshulmehtakaggl/titanic-rf", "kernel_id": "23096354"}, {"ref": "hopeowens/titanic-machine-learning", "kernel_id": "23551311"}, {"ref": "hopeowens/titanic-descriptive-statistics", "kernel_id": "23254770"}, {"ref": "samyakbahuguna/titanic-first", "kernel_id": "23889203"}, {"ref": "sachinmlwala/titanic-top-11", "kernel_id": "23241910"}, {"ref": "ritzchaudhury/titanic-voting-classifier-and-eda", "kernel_id": "23045507"}, {"ref": "alyonairinina/titanic", "kernel_id": "23658213"}, {"ref": "alyonairinina/titanic-2-0", "kernel_id": "23660869"}, {"ref": "weshunt31/titanic-set-with-linear-regression-for-age", "kernel_id": "23777703"}, {"ref": "evgenypotapov/notebook44a37c64c3", "kernel_id": "23922509"}, {"ref": "evgenypotapov/notebook602c8b4de2", "kernel_id": "23922643"}, {"ref": "kalelpark/useful-visualization", "kernel_id": "23365399"}, {"ref": "carrtesy/titanic-with-trees", "kernel_id": "23709835"}, {"ref": "maryragozina/notebook9849f51564", "kernel_id": "23913934"}, {"ref": "damlagizemsabur/titanic-isthereanybody", "kernel_id": "23973945"}, {"ref": "antonellomanenti/best-decision-tree-for-titanic", "kernel_id": "23673471"}, {"ref": "mdanalyzer/tiatnic-prediction-random-forest", "kernel_id": "23628502"}, {"ref": "leandrodestefani/titanic-survival-predictions", "kernel_id": "23852772"}, {"ref": "azaleado/titanic-disaster-predictions", "kernel_id": "23936840"}, {"ref": "laugehansen/portfolio-1b-lauge", "kernel_id": "23559845"}, {"ref": "saravanavelv/titanic-pre-processing-and-modeling", "kernel_id": "23916173"}, {"ref": "jessicaolsen/portfolio1bsub", "kernel_id": "23566967"}, {"ref": "thorbondeandersen/thunderbirds-contribution-2-0", "kernel_id": "23566309"}, {"ref": "einersen/ods-portfolio-1-titanic", "kernel_id": "23541420"}, {"ref": "harishutgikar/titanic-7-tensorflow-score-0-78947", "kernel_id": "23848706"}, {"ref": "alexandrequintin/titanic", "kernel_id": "23765169"}, {"ref": "alroger/titanic-deep-notebook", "kernel_id": "23027215"}, {"ref": "eugeneryu/titanic-simple-data-processing-starter", "kernel_id": "23124880"}, {"ref": "vvkhdk/titanic-fill-nan-knnimputer", "kernel_id": "23718655"}, {"ref": "doganozmen/titanic-eda", "kernel_id": "23586845"}, {"ref": "gravinokeyo/titanic-random-forest", "kernel_id": "23634425"}, {"ref": "krist0phersmith/titanic-tutorial-in-r", "kernel_id": "23004650"}, {"ref": "kentohirahara/logistic-regression", "kernel_id": "23597865"}, {"ref": "kirillvavilov/titanic-notebook", "kernel_id": "23796487"}, {"ref": "farzadsorouri/logistic-regression-titanic", "kernel_id": "23592144"}, {"ref": "farzadsorouri/knn-titanic", "kernel_id": "23608517"}, {"ref": "rezvanrah/svm-titanic", "kernel_id": "23556028"}, {"ref": "rezvanrah/decision-trees-titanic", "kernel_id": "23563905"}, {"ref": "rezvanrah/knn-titanic", "kernel_id": "23098604"}, {"ref": "rezvanrah/logistic-regression-titanic", "kernel_id": "23092694"}, {"ref": "rezvanrah/random-forest-titanic", "kernel_id": "23644584"}, {"ref": "parisakhatibi/random-forest-titanic", "kernel_id": "23858478"}, {"ref": "parisakhatibi/decision-tree-titanic", "kernel_id": "23688805"}, {"ref": "parisakhatibi/k-nearest-neighbors-knn", "kernel_id": "23597285"}, {"ref": "parisakhatibi/support-vector-machine-titanic", "kernel_id": "23610283"}, {"ref": "parisakhatibi/logistic-regression", "kernel_id": "23498802"}, {"ref": "samadazimiabriz/machin-learning-models-evaluate", "kernel_id": "23400983"}, {"ref": "soumalacoulibally/titanic-survived-prediction", "kernel_id": "23456412"}, {"ref": "marziehkeshavarz/titanic-knn-pipeline-elbow", "kernel_id": "23571879"}, {"ref": "marziehkeshavarz/titanic-decision-trees", "kernel_id": "23572064"}, {"ref": "marziehkeshavarz/titanic-random-forest", "kernel_id": "23572076"}, {"ref": "marziehkeshavarz/data-preperation-logestic-regression-titanic", "kernel_id": "23560528"}, {"ref": "sahargarmsiri/titanic-logistic-regression", "kernel_id": "23752247"}, {"ref": "sahargarmsiri/titanic-svm", "kernel_id": "23858403"}, {"ref": "sahargarmsiri/titanic-decision-trees", "kernel_id": "23854376"}, {"ref": "sahargarmsiri/titanic-knn", "kernel_id": "23859000"}, {"ref": "yasserh/titanic-survival-prediction-best-ml-algorithms", "kernel_id": "23047169"}, {"ref": "johnfrancis1995/titanic-heatmap-of-pclass-vs-age", "kernel_id": "23436843"}, {"ref": "johnfrancis1995/titanic-stacked-bar-visualization", "kernel_id": "23558786"}, {"ref": "precision19/titanic-survival-prediction", "kernel_id": "23928279"}, {"ref": "viveknegi/titanic-solution", "kernel_id": "23048626"}, {"ref": "sathyakrishnan12/jan08titanic", "kernel_id": "23716552"}, {"ref": "aiswaryasivakumar/titanic-dataset-1", "kernel_id": "23550303"}, {"ref": "adrianamarrom/titanic", "kernel_id": "23396459"}, {"ref": "motegaming/notebook2f3cd56fb5", "kernel_id": "23944397"}, {"ref": "xiaoxiaofeixu/titanic-fei", "kernel_id": "23395837"}, {"ref": "dominicdevlin/titanic-data-set", "kernel_id": "23684078"}, {"ref": "devanshanalyzer/visualizing-titanic", "kernel_id": "23898263"}, {"ref": "melihkomutgan/titanic-tutorial", "kernel_id": "23587342"}, {"ref": "suheldevmrp/titanic-dataset-80-accuracy", "kernel_id": "23090565"}, {"ref": "valeriaoseneva/8306-oseneva-titanic", "kernel_id": "23678534"}, {"ref": "lyudalapkina/titanic-new", "kernel_id": "23929555"}, {"ref": "zahiraettajy/titanic-first-ml-model", "kernel_id": "23670384"}, {"ref": "gorodovleonid/notebook8308gorodovtitanic", "kernel_id": "23031182"}, {"ref": "hellosayuri/titanic-project-using-knn", "kernel_id": "23715606"}, {"ref": "yulimjin/titanic-my-first-data-analysis", "kernel_id": "23898828"}, {"ref": "ozakiryota/titanic-dnn-classification", "kernel_id": "23228090"}, {"ref": "abdurrahmanplat/titanicapo", "kernel_id": "23091110"}, {"ref": "gurkanwalsingh3/notebook863fad5e67", "kernel_id": "23686993"}, {"ref": "shambhavibishnoi/titanic-survivor", "kernel_id": "23446617"}, {"ref": "chaejinpark/exercise-titanic-1-chjin", "kernel_id": "23221594"}, {"ref": "wimaputra/titanic-bahasa-indonesia", "kernel_id": "23132051"}, {"ref": "navnoorkaur/titanic-survivors", "kernel_id": "23486235"}, {"ref": "bmbenz/titanic-machine-learning-from-disaster", "kernel_id": "23613880"}, {"ref": "timebrighter/notebook36c0f06e15", "kernel_id": "23114757"}, {"ref": "priyashravs/titanic-survival-prediction", "kernel_id": "23662044"}, {"ref": "datadolphin001/notebook09ccdca1c1", "kernel_id": "23165119"}, {"ref": "kl2000031124/titanic2000031124", "kernel_id": "23354517"}, {"ref": "albertxz/1-titanic", "kernel_id": "23782488"}, {"ref": "pcmuallim/titanic", "kernel_id": "23385754"}, {"ref": "hungnguyen12/getting-started-with-machine-learning", "kernel_id": "23418036"}, {"ref": "jameaplays/titanic-glm-rf-svm-model", "kernel_id": "23674511"}, {"ref": "hasratbrar/titanic-incident", "kernel_id": "23602273"}, {"ref": "dmtnikolaev/notebook1b6cc124cf", "kernel_id": "23831013"}, {"ref": "kardiadysti/titanic-survival-prediction", "kernel_id": "23546082"}, {"ref": "aishwarya2210/titanic-for-beginners", "kernel_id": "23732520"}, {"ref": "imagimaniac/titanic-df-exercise", "kernel_id": "23995476"}, {"ref": "waynewhying/titanic-ml", "kernel_id": "23732720"}, {"ref": "henrychang521/auto-eda", "kernel_id": "23675531"}, {"ref": "jvnsidhu/titanic-data-project-with-multiple-ml-algorithms", "kernel_id": "23642025"}, {"ref": "clifforddeveloper/titanic", "kernel_id": "23612881"}, {"ref": "leocouder/titanic-tree-my-first-project", "kernel_id": "23656519"}, {"ref": "devranceng/titanic-example", "kernel_id": "23713941"}, {"ref": "aygarcumhur/notebook1f820cc709", "kernel_id": "23653540"}, {"ref": "sakircicekci/198229002019", "kernel_id": "23867686"}, {"ref": "uljibuhborjigin/notebook1f64605523", "kernel_id": "23677833"}, {"ref": "mertalkan98/analysis-and-prediction-of-titanic-data", "kernel_id": "23975980"}, {"ref": "thiagogroba/desafio-de-machine-learning-do-titanic", "kernel_id": "23705209"}, {"ref": "lamiaazzouzi/lamiaazzouzi-et-hassanzahid", "kernel_id": "23927860"}, {"ref": "hightower30/titanic-attempt", "kernel_id": "23870755"}, {"ref": "datavoyager/titanic-random-forest", "kernel_id": "23775455"}, {"ref": "datavoyager/titanic-support-vector-machine-svm-classifier", "kernel_id": "23903109"}, {"ref": "andrespadillaucros/1-titanic-forecast", "kernel_id": "23754327"}, {"ref": "gadigevishalsai/titanic-dataset-eda-predictions-11nn", "kernel_id": "23958071"}, {"ref": "byernlee/titanic-with-roc-curve", "kernel_id": "23796490"}, {"ref": "adnanbenchaaboun/titanic-ml-model", "kernel_id": "23796280"}, {"ref": "nansalmaa/nansalmaa-features-engineerig", "kernel_id": "23808826"}, {"ref": "nansalmaa/notebookacc78658b7", "kernel_id": "23785975"}, {"ref": "sainzaya/features-engineering-sainzaya", "kernel_id": "23836400"}, {"ref": "mainakmallick2001/titanic-tutorial", "kernel_id": "23801155"}, {"ref": "mallorycw/mcw-titanic-v01", "kernel_id": "23931674"}, {"ref": "deanamarek/dm-titanic-v01", "kernel_id": "23923583"}, {"ref": "deanamarek/dm-titanic-1-16-submission", "kernel_id": "23928872"}, {"ref": "mikhailutk/tresko8308-titanic", "kernel_id": "23811371"}, {"ref": "kapadiamayank/titanic", "kernel_id": "23840082"}, {"ref": "hitenbabariya/task-1-dl", "kernel_id": "23840184"}, {"ref": "knysor/titanic", "kernel_id": "23844228"}, {"ref": "egorgrachev/titanic", "kernel_id": "23850013"}, {"ref": "taylorkern/tk-titanic-v01", "kernel_id": "23857974"}, {"ref": "izhanfakhruzi/titanic-random-forest", "kernel_id": "23893079"}, {"ref": "adarshrajesh23/titanic-eda-prediction", "kernel_id": "23966987"}, {"ref": "rohan1506/fastai-tutorial-detailed", "kernel_id": "23910728"}, {"ref": "ismailbaris/titanic-data-exploration", "kernel_id": "23962570"}, {"ref": "ismailbaris/titanic-outlier-detection", "kernel_id": "23969536"}, {"ref": "austinsaragih/titanic-homework-15-s60-2", "kernel_id": "23951222"}, {"ref": "gwladysb/titanic-v1", "kernel_id": "23976565"}, {"ref": "johndun/titanic-notebook-test", "kernel_id": "24164433"}, {"ref": "chasset/cestparti", "kernel_id": "24308786"}, {"ref": "cast42/impute-age-with-expectation-maximisation", "kernel_id": "24676367"}, {"ref": "edwingraham/titanic-xgboost", "kernel_id": "24129998"}, {"ref": "bcruise/matplotlib-basics-tutorial", "kernel_id": "24271688"}, {"ref": "lperto/titanic-gau-data-science", "kernel_id": "24002204"}, {"ref": "nrcjea001/titanic-predictions-with-scikeras", "kernel_id": "24482114"}, {"ref": "junaidqazi/ml-start-from-scratch-complete-tutorial-titanic", "kernel_id": "24762987"}, {"ref": "elsapuspa/dataset-mtcars-multiple-linear-regression-python", "kernel_id": "24426908"}, {"ref": "damjimenezgu/titanic-prediction-dj", "kernel_id": "24990841"}, {"ref": "savitharachuri223/firstkaggle", "kernel_id": "24708497"}, {"ref": "aariasag/titanic-ml", "kernel_id": "24969772"}, {"ref": "defcodeking/exploratory-data-analysis", "kernel_id": "24878094"}, {"ref": "defcodeking/xgboost-optuna-for-the-titanic-dataset-0-77511", "kernel_id": "24878287"}, {"ref": "kumarsrikant/titanic-data-cleaning", "kernel_id": "24674684"}, {"ref": "jkikss/comento-week2-dietanic", "kernel_id": "24816283"}, {"ref": "jkikss/kaggle-titanic-for-korean", "kernel_id": "24799934"}, {"ref": "edmundzhang/fork-of-titanic-model-draft", "kernel_id": "24083754"}, {"ref": "karthikbhandary2/titanic-analysis", "kernel_id": "24475105"}, {"ref": "piyushmohnot/titanicpredictionnotebook", "kernel_id": "24034395"}, {"ref": "rvalieris/xgboost-hyper-parameter-tuning-with-tidymodels", "kernel_id": "24806962"}, {"ref": "haripriyan/titanic-machine-learning", "kernel_id": "24004425"}, {"ref": "pavelgolota/decision-tree", "kernel_id": "24377635"}, {"ref": "haruhiro/kaggle-notebook", "kernel_id": "24233853"}, {"ref": "jayahn0104/korean-ultimate-tutorial-proper-workflow", "kernel_id": "24866614"}, {"ref": "jayahn0104/tutorial-binary-class-tune-sklearn-skorch", "kernel_id": "24913166"}, {"ref": "bipinlala/titanic-revision", "kernel_id": "24247949"}, {"ref": "saraswat40/titanic-simple-tensorflow-neural-network", "kernel_id": "24784967"}, {"ref": "sonick/01-titanic-getting-started-19-feb-22", "kernel_id": "24808609"}, {"ref": "sanjoybijoy/kaggle-titanic-xgboost-py9", "kernel_id": "24772657"}, {"ref": "aminasdzdh/titanic-eda-solution-notes", "kernel_id": "24865843"}, {"ref": "prateekagnihotri/aff2-wild-datasets", "kernel_id": "24781643"}, {"ref": "klas9802/visualization-titanic-for-r", "kernel_id": "24693136"}, {"ref": "canbugra/titanic-dataset-detailed-data-analysis", "kernel_id": "24371001"}, {"ref": "cfzile/lab-2-elizaveta-martirosyan", "kernel_id": "24972336"}, {"ref": "vivek468/what-visualizations-should-you-use", "kernel_id": "24752488"}, {"ref": "modishubh/titanicdisasterwhosurvived", "kernel_id": "24332893"}, {"ref": "modishubh/titanicdisasterwhosurvivedwithautoxgb", "kernel_id": "24890246"}, {"ref": "ummerubaiyat/titanic-data", "kernel_id": "24487764"}, {"ref": "choupeiyuan/titanic-all-classifiers-0-78", "kernel_id": "24774420"}, {"ref": "sijanstha/visualizing-and-preprocessing-titanic-data", "kernel_id": "24244768"}, {"ref": "kalachevandrew/titanic-01", "kernel_id": "24676764"}, {"ref": "sparshbhawsar/titanic-ml-from-disaster-80-accuracy", "kernel_id": "24491414"}, {"ref": "staytunedl/titanic-lethal-prognosis-multimodel", "kernel_id": "24625425"}, {"ref": "lorddiablo74/votingclassifier-titanic", "kernel_id": "24475506"}, {"ref": "lorddiablo74/titanic-sklearn", "kernel_id": "24144462"}, {"ref": "kunlee21/titanic-survival-prediction-and-data-exploration", "kernel_id": "24910167"}, {"ref": "kunlee21/simple-baseline-model-based-on-sex", "kernel_id": "24887624"}, {"ref": "kunlee21/baseline-model-based-on-sex-and-young-age", "kernel_id": "24890080"}, {"ref": "marioeid/titanic-logistic-regression", "kernel_id": "24524746"}, {"ref": "thrakrien/titanic-random-forest-classifier", "kernel_id": "24771378"}, {"ref": "atacanoncu/titanic-eda", "kernel_id": "24833701"}, {"ref": "anaundla/titanic-solution", "kernel_id": "24627924"}, {"ref": "enisteper1/titanic-eda-machine-learning-top-3", "kernel_id": "24604851"}, {"ref": "rakeshku1993/titanic-create-folds", "kernel_id": "24354737"}, {"ref": "shinjk/titanic-with-sklearn-ipynb", "kernel_id": "24300958"}, {"ref": "yongwonjin/titanic-survival-classification", "kernel_id": "24995447"}, {"ref": "paulojunqueira/titanic-simple-models-comparison", "kernel_id": "24700218"}, {"ref": "songwonmin/pandas-numpy-eng", "kernel_id": "24723838"}, {"ref": "songwonmin/swm-titanic", "kernel_id": "24355076"}, {"ref": "amirdehghanian/titanic-dataset-classification", "kernel_id": "24620765"}, {"ref": "saraswatitiwari/ensemble-models", "kernel_id": "24764226"}, {"ref": "chumajin/fastai-neuralnetwork-easy", "kernel_id": "24375582"}, {"ref": "saketdimri/notebook3e927917b1", "kernel_id": "24979848"}, {"ref": "kimjeongyeon/kr-titanic", "kernel_id": "24777423"}, {"ref": "chandanamagapu/classification-titanic", "kernel_id": "24093352"}, {"ref": "kevinho111/notebook87a0ae7d3d", "kernel_id": "24785118"}, {"ref": "durgapramodhkumar/getting-started-with-titanic", "kernel_id": "24941438"}, {"ref": "nikhilbadveli/titanic-competition-83-4-accuracy", "kernel_id": "24412677"}, {"ref": "dmitrybakanov/titanic-competition", "kernel_id": "24463302"}, {"ref": "andreybelyaev/titanic-simple-ensambles", "kernel_id": "24874696"}, {"ref": "longyi0419/titanic-ml-prediction-decision-tree", "kernel_id": "24848117"}, {"ref": "artemglazunov1990/titanic-starters-rf-optuna-and-shap", "kernel_id": "24650219"}, {"ref": "artemglazunov1990/titanic-starters-logreg-pipe-optuna-and-shap", "kernel_id": "24107342"}, {"ref": "cowfrog/getting-started-with-titanic", "kernel_id": "24669626"}, {"ref": "kevinajames/cs530-wk2-lecture", "kernel_id": "24474868"}, {"ref": "durgancegaur/how-to-understand-data-using-visualization", "kernel_id": "24704518"}, {"ref": "halisezer/titanic-eda", "kernel_id": "24411862"}, {"ref": "thangdang/titanic", "kernel_id": "24159366"}, {"ref": "saravanaganesh7/titanic-prediction", "kernel_id": "24389839"}, {"ref": "hamzaboulahia/lazy-titanic-eda-prediction", "kernel_id": "24217441"}, {"ref": "mandeepsinghsoorma/titanic-best-model-identification", "kernel_id": "24376031"}, {"ref": "dplg007/titanic", "kernel_id": "24602422"}, {"ref": "vivovinco/titanic-real-1-0", "kernel_id": "24208582"}, {"ref": "miglax333/titanic-predictions", "kernel_id": "24988197"}, {"ref": "vladimirdanylov/titanic-competition", "kernel_id": "24033866"}, {"ref": "dependerkumarsoni/titanic-prediction-project", "kernel_id": "24992414"}, {"ref": "naheenmohammadkadir/titanic-dataset", "kernel_id": "24543252"}, {"ref": "cembkmaz/titanic-survival-model", "kernel_id": "24135702"}, {"ref": "shunsukeozeki/titanic-binary-classification-with-pytorch", "kernel_id": "24557384"}, {"ref": "onurlk/onuru-titanic", "kernel_id": "24090079"}, {"ref": "bhavinmoriya/naive-bayes-classifier-titanic-survival", "kernel_id": "24337369"}, {"ref": "mdnam2410/titanic", "kernel_id": "24818552"}, {"ref": "kkjira/titanic-with-pycaret", "kernel_id": "24175339"}, {"ref": "mohitkarelia/titanic-data", "kernel_id": "24903739"}, {"ref": "kbp0237/ai-tech-3rd-kaggle-study-eda", "kernel_id": "24571191"}, {"ref": "tracyporter/code-with-me-titanic", "kernel_id": "24441881"}, {"ref": "tracyporter/code-with-me-titanic-statsmodels", "kernel_id": "24475673"}, {"ref": "komiljonmuhammadiyev/cheatsheet-matplotlib-charts", "kernel_id": "24603668"}, {"ref": "vinitshah0110/autoencoder-and-ensemble-learning-for-titanic", "kernel_id": "24309059"}, {"ref": "ahmedaliomar/titanic-data-science-solutions", "kernel_id": "24417042"}, {"ref": "misahamanaka/titanic-machinelearning", "kernel_id": "24748174"}, {"ref": "sanskriti17/titanic-prediction", "kernel_id": "24452040"}, {"ref": "divyapokkunuri/titanic-survival-prediction-project", "kernel_id": "24797718"}, {"ref": "devashishpandit/titanic-tutorial", "kernel_id": "24946070"}, {"ref": "devashishpandit/titanic", "kernel_id": "24940916"}, {"ref": "kozogaz/notebook3e0f9c4626", "kernel_id": "24945499"}, {"ref": "alenasyropyatova/titanic-syropyatova-it-319", "kernel_id": "24993840"}, {"ref": "tcvdtsebfiniognber/titanic-disaster-shlyapnikovit-319", "kernel_id": "24737190"}, {"ref": "marwanzidane/getting-started-with-titanic-dataset", "kernel_id": "24096232"}, {"ref": "rudragujarathi/titanic-competition-kaggle", "kernel_id": "24230147"}, {"ref": "rruchi/titanic-ml-from-disaster", "kernel_id": "24531310"}, {"ref": "ccaitlum/predict-titanic-survivor-with-pycaret", "kernel_id": "24202747"}, {"ref": "pranitkedarisetty/getting-started-with-titanic-pranit", "kernel_id": "24323346"}, {"ref": "jagjeetagarwal/naive-bays-classifier-titanic-survival", "kernel_id": "24143912"}, {"ref": "sasakic/titanic-simple-lgbm-kfold", "kernel_id": "24151348"}, {"ref": "arunasivapragasam/titanic-exploratory-data-analysis-eda", "kernel_id": "24335265"}, {"ref": "dovallefvo/titanic-competition-machine-learning-disaster", "kernel_id": "24542640"}, {"ref": "chitrabirole/survival-prediction-with-4-different-models", "kernel_id": "24091137"}, {"ref": "imnvkle/0-7655-result", "kernel_id": "24826661"}, {"ref": "imnvkle/0-75-result", "kernel_id": "24812697"}, {"ref": "abhinavchakravarty09/titanic-survivor-analysis", "kernel_id": "24354436"}, {"ref": "yujiishado/next-small-step-from-tutorial-imputation", "kernel_id": "24967251"}, {"ref": "david55555/titanic-gdsc-dcm2", "kernel_id": "24546525"}, {"ref": "jonahmi/simple-pytorch-classifier", "kernel_id": "24863007"}, {"ref": "julenaperribay/titanic", "kernel_id": "24992273"}, {"ref": "perryperryfries/titanic-77", "kernel_id": "24769082"}, {"ref": "abnerfreitas/titanic-competition", "kernel_id": "24785661"}, {"ref": "jacobcohn/notebook9959d0808e", "kernel_id": "24323708"}, {"ref": "enesavci16/titanic-classification-models", "kernel_id": "24477784"}, {"ref": "minwoobaek/titanic-machine-learning-from-disaster", "kernel_id": "24507135"}, {"ref": "ugakkuku/titanic-ml-by-fastai", "kernel_id": "24839550"}, {"ref": "kitaesong/ted-song-titanic", "kernel_id": "24455350"}, {"ref": "sanketbeniwal/titanic-solution", "kernel_id": "24533044"}, {"ref": "danielbritodossantos/dbs97-titanic", "kernel_id": "24075145"}, {"ref": "nourchenesaidi/titanic", "kernel_id": "24379991"}, {"ref": "sepidehghanadi/titanic-task", "kernel_id": "24616883"}, {"ref": "danilaskakov/titanic-data", "kernel_id": "24505959"}, {"ref": "fallenbun/titanic-analysis-with-r-using-gbm", "kernel_id": "24733494"}, {"ref": "abhikumar15/titanic-ml", "kernel_id": "24922554"}, {"ref": "kartushovdanil/econometrics-is-all-you-need", "kernel_id": "24287682"}, {"ref": "ismail95tr/titanic-eda", "kernel_id": "24136817"}, {"ref": "shivamshinde123/titanic-dataset-survival-prediction", "kernel_id": "24546008"}, {"ref": "shivamshinde123/titanic", "kernel_id": "24495412"}, {"ref": "rahimanshu/6-ml-algorithms-with-eda-and-roc", "kernel_id": "24453537"}, {"ref": "foocheechuan/titanic", "kernel_id": "24299518"}, {"ref": "aliosmanbayku/basic-naivebayes-approach", "kernel_id": "24944895"}, {"ref": "maxitype/8-eda-gboost-xgboost-tuning-beginner", "kernel_id": "24995511"}, {"ref": "darkhawk/notebooke6f95289d0", "kernel_id": "24486758"}, {"ref": "nguyencongly/titanic-feature-engineering-grbt", "kernel_id": "24214427"}, {"ref": "domenicomorabito/titanic-with-ensemble-model-0-80382-top-3", "kernel_id": "24140278"}, {"ref": "haydenboone/bell-ml-3-titanic", "kernel_id": "24033064"}, {"ref": "hidema/titanic-2022-0219-1", "kernel_id": "24280996"}, {"ref": "oxyspike/titanic", "kernel_id": "24016026"}, {"ref": "meetnagadia/decision-tree-from-scratch-on-titanic", "kernel_id": "24888468"}, {"ref": "fmarcelo/randomforest-classifier-titanic", "kernel_id": "24273319"}, {"ref": "phoebewongtw/encoding-of-categorial-variables", "kernel_id": "24355433"}, {"ref": "phoebewongtw/k-fold-cross-validation-with-logo", "kernel_id": "24617995"}, {"ref": "gustavozwicker/titanic-predictions", "kernel_id": "24603183"}, {"ref": "mustafamu/titanic-using-cnn", "kernel_id": "24109076"}, {"ref": "mitchellhermon/titanictutorial", "kernel_id": "24489818"}, {"ref": "ndionyenmadavid/a-tragedy-of-inequality-at-sea", "kernel_id": "24423972"}, {"ref": "rongye/day1-code", "kernel_id": "24036873"}, {"ref": "une510/titanic-competition-83-accuracy-score", "kernel_id": "24029181"}, {"ref": "raj401/titanic-optuna-level1-round1-nn", "kernel_id": "24807367"}, {"ref": "raj401/liver-disease-complete-ensemble-2nd-place", "kernel_id": "24942628"}, {"ref": "raj401/liverdisease-create-folds", "kernel_id": "24959870"}, {"ref": "raj401/my-complete-pipeline-for-any-ml-competition", "kernel_id": "24130290"}, {"ref": "raj401/titanic-create-folds", "kernel_id": "24122050"}, {"ref": "raj401/level1-round1-preprocessing", "kernel_id": "24252327"}, {"ref": "raj401/titanic-optuna-level1-round2-logisticregression", "kernel_id": "24256230"}, {"ref": "raj401/titanic-optuna-level1-round2-catboost", "kernel_id": "24255849"}, {"ref": "raj401/level1-round2-preprocessing", "kernel_id": "24252540"}, {"ref": "raj401/titanic-optuna-level1-round2-mlpclassifier", "kernel_id": "24256292"}, {"ref": "raj401/titanic-optuna-level1-round2-ridge", "kernel_id": "24256366"}, {"ref": "raj401/titanic-optuna-level1-round2-lasso", "kernel_id": "24256406"}, {"ref": "raj401/titanic-optuna-level1-round2-kneighborsclassifier", "kernel_id": "24256438"}, {"ref": "raj401/titanic-optuna-level1-round2-decisiontree-c", "kernel_id": "24256485"}, {"ref": "raj401/titanic-optuna-level1-round2-xgbregressor", "kernel_id": "24256577"}, {"ref": "raj401/titanic-optuna-level1-round2-adaboost-classifier", "kernel_id": "24256627"}, {"ref": "raj401/titanic-optuna-level1-round2-gbmclassifier", "kernel_id": "24256675"}, {"ref": "raj401/titanic-optuna-level1-round2-hgbclassifier", "kernel_id": "24256712"}, {"ref": "raj401/titanic-optuna-level1-round2-lgbmclassifier", "kernel_id": "24256801"}, {"ref": "raj401/titanic-optuna-level1-round2-lgbmregressor", "kernel_id": "24256819"}, {"ref": "raj401/titanic-level1-round2", "kernel_id": "24279521"}, {"ref": "raj401/titanic-optuna-level1-round1-lgbmregressor", "kernel_id": "24206649"}, {"ref": "raj401/titanic-level1-round1", "kernel_id": "24209191"}, {"ref": "raj401/titanic-optuna-level1-round1-lgbmclassifier", "kernel_id": "24199316"}, {"ref": "raj401/titanic-optuna-level1-round1-xgbregressor", "kernel_id": "24198390"}, {"ref": "raj401/titanic-optuna-level1-round1-gbmclassifier", "kernel_id": "24203329"}, {"ref": "raj401/titanic-optuna-level1-round1-hgbclassifier", "kernel_id": "24203667"}, {"ref": "raj401/titanic-optuna-level1-round1-adaboost-classifier", "kernel_id": "24201079"}, {"ref": "raj401/titanic-optuna-level1-round1-lasso", "kernel_id": "24200590"}, {"ref": "raj401/titanic-optuna-level1-round1-kneighborsclassifier", "kernel_id": "24200683"}, {"ref": "raj401/titanic-optuna-level1-round1-decisiontree-c", "kernel_id": "24200820"}, {"ref": "raj401/titanic-optuna-level1-round1-ridge", "kernel_id": "24200337"}, {"ref": "raj401/titanic-optuna-level1-round1-mlpclassifier", "kernel_id": "24199938"}, {"ref": "raj401/titanic-optuna-level1-round1-logisticregression", "kernel_id": "24199788"}, {"ref": "raj401/titanic-optuna-level1-round1-catboost", "kernel_id": "24180457"}, {"ref": "raj401/level2-round1-preprocessing", "kernel_id": "24519559"}, {"ref": "raj401/titanic-level2-round1", "kernel_id": "24566701"}, {"ref": "raj401/level2-round2-preprocessing", "kernel_id": "24569507"}, {"ref": "raj401/titanic-level2-round2", "kernel_id": "24571017"}, {"ref": "sibinthomas06/titanic-prediction", "kernel_id": "24925834"}, {"ref": "oakthyago/beginning-data-analysis-of-titanic-model-w-lr", "kernel_id": "24366430"}, {"ref": "rushilunagariya/titanic", "kernel_id": "24950513"}, {"ref": "brahimenesulusoy/titanic-eda", "kernel_id": "24513498"}, {"ref": "narsimha05/logistic-regression-series", "kernel_id": "24949720"}, {"ref": "mathewkouch/titanic-passenger-survival-with-decision-tree", "kernel_id": "24503985"}, {"ref": "walteralvarado/ml-and-neural-network-80-acc", "kernel_id": "24884856"}, {"ref": "yashrathod0909/titanic-deep-learning", "kernel_id": "24005039"}, {"ref": "merajpatel/titanic", "kernel_id": "24295166"}, {"ref": "felipebezerrabarbosa/ml-binary-classification-titanic", "kernel_id": "24753997"}, {"ref": "rhythmcam/titanic-seed-oof-stacking", "kernel_id": "24149704"}, {"ref": "rhythmcam/pandas-basic-get-column-by-type", "kernel_id": "24181401"}, {"ref": "rhythmcam/pandas-basic-pop-usage", "kernel_id": "24252416"}, {"ref": "rhythmcam/labelencoding-using-cat-codes", "kernel_id": "24123861"}, {"ref": "rhythmcam/labelencoding-using-labelencoder", "kernel_id": "24124756"}, {"ref": "rhythmcam/labelencoding-using-map-function", "kernel_id": "24126342"}, {"ref": "rhythmcam/pandas-basic-convert-cvs-to-zip", "kernel_id": "24096812"}, {"ref": "rhythmcam/titanic-ridgeclassifier-ramdomsearchcv-tuning", "kernel_id": "24021523"}, {"ref": "rhythmcam/argparse-basic-namespace-usage", "kernel_id": "24048873"}, {"ref": "rhythmcam/titanic-evalml-scaler-prediction", "kernel_id": "24980282"}, {"ref": "rhythmcam/titanic-evalml-prediction", "kernel_id": "24979203"}, {"ref": "rhythmcam/titanic-keras-prediction", "kernel_id": "24981885"}, {"ref": "rhythmcam/pycaret-lightgbm-oof", "kernel_id": "24949588"}, {"ref": "rhythmcam/pycaretclassificationmodel", "kernel_id": "24945735"}, {"ref": "rhythmcam/pytorch-titanic-classification", "kernel_id": "24927091"}, {"ref": "rhythmcam/titanic-pseudo-labeling-prediction", "kernel_id": "24785688"}, {"ref": "rhythmcam/titanic-evalml-automl-prediction", "kernel_id": "24818518"}, {"ref": "rhythmcam/titanic-autokeras", "kernel_id": "24847072"}, {"ref": "rhythmcam/autokeras-titanic-classification", "kernel_id": "24874044"}, {"ref": "rhythmcam/titanic-catboost", "kernel_id": "24599066"}, {"ref": "rhythmcam/titanic-catboost-simple-evaluate", "kernel_id": "24610436"}, {"ref": "rhythmcam/titanic-catboost-oof", "kernel_id": "24611625"}, {"ref": "rhythmcam/automl-flaml-titanic-prediction", "kernel_id": "24623655"}, {"ref": "rhythmcam/titanic-mljar-prediction", "kernel_id": "24649996"}, {"ref": "rhythmcam/titanic-flaml-pipeline-basic", "kernel_id": "24646518"}, {"ref": "rhythmcam/using-make-n-fold-csv-py", "kernel_id": "24672618"}, {"ref": "rhythmcam/house-price-groupkfold-oof", "kernel_id": "24673167"}, {"ref": "rhythmcam/titanic-logisticregression-pipeline", "kernel_id": "24676792"}, {"ref": "rhythmcam/titanic-pytorch-tabnet", "kernel_id": "24707132"}, {"ref": "mehrdadsadeghi/titanic-ml-solution-80-accurate-on-test-data", "kernel_id": "24399175"}, {"ref": "tuanvqn/ml-titanic-survivor", "kernel_id": "24861510"}, {"ref": "sachinudgam/titanic-data-set-tutorial-caret-package-in-r", "kernel_id": "24076609"}, {"ref": "gruben117/nested-cv-and-bayesian-optimization-with-scikit", "kernel_id": "24219038"}, {"ref": "emrhn1031/learn-pyspark-basics-with-titanic-dataset-eda-ml", "kernel_id": "24542162"}, {"ref": "oykuer/titanic-competition-using-adaboost", "kernel_id": "24769661"}, {"ref": "heerboi/working-through-titanic", "kernel_id": "24770573"}, {"ref": "deedeenyc/data-science-workflow-on-titanic-dataset", "kernel_id": "24861874"}, {"ref": "saitarunss/titanic-survival-prediction", "kernel_id": "24860145"}, {"ref": "ammarabbasi1040/titanic-simple-eda-fe-86-acc", "kernel_id": "24258280"}, {"ref": "mahditavakol/titanic-catboost", "kernel_id": "24627493"}, {"ref": "mahditavakol/titanic-ensemble", "kernel_id": "24625888"}, {"ref": "mahditavakol/titanic-xgboost", "kernel_id": "24623162"}, {"ref": "elijahrona/titanic-dataset-notebook", "kernel_id": "24459199"}, {"ref": "himalayakilaru/titanic-using-random-forests-0-79425", "kernel_id": "24516297"}, {"ref": "brahimtrkolu/detailed-titanic-dataset-with-logistic-regression", "kernel_id": "24181704"}, {"ref": "dhruvinkakadia/titanic-survival-classifier-top-2", "kernel_id": "24014421"}, {"ref": "nsreehari/titanic-prediction-using-nn", "kernel_id": "24507115"}, {"ref": "yangllx/titanic", "kernel_id": "24781676"}, {"ref": "abdelrahmangomaa/titanic-problem-beginner", "kernel_id": "24367693"}, {"ref": "imanmkhamis/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "24517848"}, {"ref": "avivratzon/notebook8d7e5cce6d", "kernel_id": "24460360"}, {"ref": "suchighurka/titanic-survival-predictions-rfc", "kernel_id": "24230978"}, {"ref": "mahendragundeti/functional-transformers-log", "kernel_id": "24617615"}, {"ref": "tariqmuneer/titanic-machine-learning-from-disaster", "kernel_id": "24246989"}, {"ref": "lavarthan/titanic-uom", "kernel_id": "24291938"}, {"ref": "mohinurabdurahimova/titanic", "kernel_id": "24357028"}, {"ref": "bong0506/titanic-data-set-classification", "kernel_id": "24923491"}, {"ref": "xianglishan/my-first-titanic", "kernel_id": "24659578"}, {"ref": "omkarkatkade/titanic-ml-my-first-sub", "kernel_id": "24510266"}, {"ref": "dhruvil2110/titanic-dhruvil", "kernel_id": "24039523"}, {"ref": "animeshhalder/titanic-machine-learning-from-disaster-lda", "kernel_id": "24108413"}, {"ref": "prateekiet/titanic-random-forest", "kernel_id": "24056425"}, {"ref": "wajidhassanmoosa/titanic-kaggle", "kernel_id": "24229867"}, {"ref": "yashashkaushik/titanic-predictions-from-scratch-easy-yet-awesome", "kernel_id": "24768801"}, {"ref": "sankethiyer/titanic-kaggle-practice", "kernel_id": "24643271"}, {"ref": "aayushdeswal/titanic-problem-classifier-nn", "kernel_id": "24455804"}, {"ref": "pantanjali/titanic-survivers-prediction", "kernel_id": "24156965"}, {"ref": "baybarsorhun/titanic-analysis", "kernel_id": "24555850"}, {"ref": "helddata/getting-started-with-titanic-python-rfm", "kernel_id": "24153843"}, {"ref": "furkanocalann/detail-eda-xgboost-lightgbm-optuna-lofo", "kernel_id": "24003713"}, {"ref": "vaasubisht/binning-and-binarization", "kernel_id": "24766245"}, {"ref": "lokeshbaviskar/exploratory-data-analysis-of-titanic-survival", "kernel_id": "24515093"}, {"ref": "vladimirgluten/fork-of-titanic-tutorial-for-me", "kernel_id": "24458388"}, {"ref": "ismailhakkiozcelik/titanic-2", "kernel_id": "24770128"}, {"ref": "shashimo/titanic-how-to-use-lgbm", "kernel_id": "24458883"}, {"ref": "shashimo/titanic-eda-practice", "kernel_id": "24303047"}, {"ref": "petergarcia/first-time-titanic", "kernel_id": "24293098"}, {"ref": "mdbodrulalam/survival-prediction-using-machine-learning", "kernel_id": "24143630"}, {"ref": "ahmedzidan/titanic-analysis-and-prediction", "kernel_id": "24764295"}, {"ref": "shashank52ez/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "24257770"}, {"ref": "shashank52ez/titanic-prediction", "kernel_id": "24179442"}, {"ref": "nicolaswhaibe/notebookaf0dc503a0", "kernel_id": "24814084"}, {"ref": "denisgu/titanik-random-forest-top-9", "kernel_id": "24285513"}, {"ref": "durgeshrao9993/eda-exploratory-data-analysis-on-titanic", "kernel_id": "24245759"}, {"ref": "arnavr10880/titanicdataset-analysis", "kernel_id": "24304372"}, {"ref": "arnavr10880/titanic-simple-knn", "kernel_id": "24949984"}, {"ref": "deepakkarkisf/titanic-notebook-score-78299", "kernel_id": "24332181"}, {"ref": "samruddhkamath/logistic-regression-titanic-dataset", "kernel_id": "24453414"}, {"ref": "pedrotavaressilva/my-first-ever-kaggle-competition", "kernel_id": "24810144"}, {"ref": "ratichkhetia/titanic-classification-using-gradient-boosting", "kernel_id": "24477215"}, {"ref": "taimursiddiqi/titanic-ml-knn-submission", "kernel_id": "24812722"}, {"ref": "subatomic/homework-2", "kernel_id": "24830138"}, {"ref": "menesakpinar/titanic-prediction-with-ml", "kernel_id": "24859556"}, {"ref": "thomaslemontagner/titanic-beginner", "kernel_id": "24104861"}, {"ref": "caerno/eda-self-made-ensemble-methods", "kernel_id": "24903106"}, {"ref": "nikhilbangar/getting-started-titanic-disaster-model", "kernel_id": "24181043"}, {"ref": "sanjoymondal0/titanic", "kernel_id": "24316405"}, {"ref": "tgr3883/titanic", "kernel_id": "24857668"}, {"ref": "acha94/titanic-machine-learning", "kernel_id": "24385089"}, {"ref": "sinyoungra/my-first-kaggle-titanic", "kernel_id": "24145855"}, {"ref": "jacobwilson1111/processing-and-prediction-of-titanic-survival-data", "kernel_id": "24106160"}, {"ref": "bishalaryanthakur/bishal-s-notebook-titanic", "kernel_id": "24392001"}, {"ref": "mkamadeus/titanic-maas", "kernel_id": "24243232"}, {"ref": "alex1iksanov/titanic-brief-eda-and-6-models", "kernel_id": "24588350"}, {"ref": "danieldazamacias/titanic-workshop", "kernel_id": "24707308"}, {"ref": "gargmanav/dm-prac-3-4", "kernel_id": "24556778"}, {"ref": "alokkapsiyan/getting-started-with-titanic", "kernel_id": "24650107"}, {"ref": "rhesamulyadi/logistic-regression-titanic-data", "kernel_id": "24366833"}, {"ref": "catray/notebook8ee70755ce", "kernel_id": "24045073"}, {"ref": "asatbek/titanic-knn-random-forest", "kernel_id": "24427976"}, {"ref": "asatbek/titanic-eda-prediction", "kernel_id": "24242916"}, {"ref": "renanfioramonte/titanic-predict", "kernel_id": "24992639"}, {"ref": "victoraugustojf/first-titanic-survival-prediction", "kernel_id": "24083751"}, {"ref": "cyrussius/titanic-notebook", "kernel_id": "24851813"}, {"ref": "sfktrkl/regressions", "kernel_id": "24861339"}, {"ref": "jameskohjunwei/titanic-dataset-log-regression", "kernel_id": "24542943"}, {"ref": "rakeshsahni/titanic-dataset-analysis", "kernel_id": "24115428"}, {"ref": "renataaugustodantas/titanic-rhinata", "kernel_id": "24658980"}, {"ref": "rsato315/0-79186-titanic-japanese-rsato", "kernel_id": "24675725"}, {"ref": "abhishekkrsingh369/ann-implementation-on-titanic-dataset", "kernel_id": "24762137"}, {"ref": "shashwatsachan/titanic-the-end", "kernel_id": "24040797"}, {"ref": "samadazimiabriz/catboost-classification", "kernel_id": "24453773"}, {"ref": "gopalgoyal612002/titanic-disaster", "kernel_id": "24156326"}, {"ref": "gorkemgul/titanic-eda-updated", "kernel_id": "24343061"}, {"ref": "simonedangelo/titanic-dataset-my-first-attempt", "kernel_id": "24107801"}, {"ref": "rishimalgwa/titanic-kernel-svm", "kernel_id": "24096723"}, {"ref": "djmcmoran/djmcmoran-kaggletitanicchallengesubmission-2022022", "kernel_id": "24993383"}, {"ref": "sreelalh/titanic-predictions", "kernel_id": "24915787"}, {"ref": "oliwiaiwaska/titanic-logistic-regression", "kernel_id": "24656041"}, {"ref": "vishnu877/titanic-beginner", "kernel_id": "24173565"}, {"ref": "demko1/titanic-using-logisticregression", "kernel_id": "24317691"}, {"ref": "kaarthilalgy/notebook4ec28dab63", "kernel_id": "24793471"}, {"ref": "spring08/following-titanic-example", "kernel_id": "24146881"}, {"ref": "bhavishs28/titanic-machine-learning-from-disaster", "kernel_id": "24040116"}, {"ref": "shruthimshruthim/titanic-machine-learning-from-disaster", "kernel_id": "24938171"}, {"ref": "taejoopark/titanic-eda-with-bayesian-probability", "kernel_id": "24014612"}, {"ref": "brauliolv/pt-br-titanic-machine-learning-competition", "kernel_id": "24054870"}, {"ref": "eksi123/titanic-survivors", "kernel_id": "24750275"}, {"ref": "atenakarimi/titanic-prediction", "kernel_id": "24669604"}, {"ref": "ahmedameenhassan/titanic-comp", "kernel_id": "24738063"}, {"ref": "azratuni/titanic-ml-prediction-decision-tree", "kernel_id": "24809168"}, {"ref": "hanerkoca/logistic-regression-with-titanic", "kernel_id": "24080239"}, {"ref": "movaliyajaykumar/19bce134-prac1", "kernel_id": "24229438"}, {"ref": "araspirbadian/titanic-prediction-with-svm", "kernel_id": "24749086"}, {"ref": "araspirbadian/titanic-prediction-with-knn", "kernel_id": "24738374"}, {"ref": "araspirbadian/titanic-prediction-with-logistic-regression", "kernel_id": "24558984"}, {"ref": "araspirbadian/titanic-prediction-with-random-forest", "kernel_id": "24058111"}, {"ref": "lennymalard/titanic-melpy-top-5-with-deep-learning", "kernel_id": "24715442"}, {"ref": "samehabbaselsayed/kagal-titanc", "kernel_id": "24548154"}, {"ref": "dhamur/titanic-mechine-learning-from-disaster", "kernel_id": "24040261"}, {"ref": "priyankdl/titanic-eda-demo-for-students", "kernel_id": "24013378"}, {"ref": "ievakubiliut/titanic-machine-learning-from-disaster", "kernel_id": "24183680"}, {"ref": "nizarkarkar/titanic", "kernel_id": "24076699"}, {"ref": "essamramzy/titanic-cleaning-and-eda", "kernel_id": "24272698"}, {"ref": "essamramzy/titanic-cleaning-and-eda-kaggle-case-study", "kernel_id": "24272700"}, {"ref": "mahinkhanmahadi/notebook60b81c74a9", "kernel_id": "24986939"}, {"ref": "ancouse/data-titanik-eda", "kernel_id": "24971698"}, {"ref": "tasneemkoushar/titanic-01", "kernel_id": "24441570"}, {"ref": "mustafakeser4/titanic-classification", "kernel_id": "24075238"}, {"ref": "andreamndezsanz/titanic-disaster-prediction-ml", "kernel_id": "24182642"}, {"ref": "tatianabezmenova/titanic-catboost", "kernel_id": "24314274"}, {"ref": "somesh140/1st-project", "kernel_id": "24601789"}, {"ref": "hyunwoozz/notebook8489f5ac1c", "kernel_id": "24037962"}, {"ref": "aegeanviper/prediction-result-for-titanic-competition", "kernel_id": "24374783"}, {"ref": "junianlim/kaggle-titanic-competition", "kernel_id": "24196894"}, {"ref": "jeongtw/ml-scikit-learn-ml-model-titanic", "kernel_id": "24330509"}, {"ref": "bartoszdorobek/titanic-desicion-tree-random-forest", "kernel_id": "24815812"}, {"ref": "sirishavu/titanic-vs", "kernel_id": "24059305"}, {"ref": "arjbaid/my-titanic-notebook", "kernel_id": "24778146"}, {"ref": "nabilkazi/titanic-competiton-decision-tree-model", "kernel_id": "24393871"}, {"ref": "nabilkazi/survival-predictor-decision-tree-classifier", "kernel_id": "24396182"}, {"ref": "emansamyy/titanic", "kernel_id": "24546496"}, {"ref": "xiekunqueena/titanic-survival-predictions-different-models", "kernel_id": "24205147"}, {"ref": "shkjeong/titanic", "kernel_id": "24613083"}, {"ref": "tarikcavalcanti/titanic", "kernel_id": "24176641"}, {"ref": "muhammadarkaanahnaf/titanic-machine-learning-from-disaster-beginner", "kernel_id": "24111146"}, {"ref": "preethamganiga/titanic", "kernel_id": "24040065"}, {"ref": "songheejo/1-1-01-titanic", "kernel_id": "24801883"}, {"ref": "isidronavarrooporto/first-ml-project-titanic-competition", "kernel_id": "24482810"}, {"ref": "huseinbastawala/getting-started-with-titanic", "kernel_id": "24759391"}, {"ref": "sidharthjoly/first-model-titanic", "kernel_id": "24101772"}, {"ref": "lalitmohansharma/titanic", "kernel_id": "24073840"}, {"ref": "ahmdngi/titanic-project", "kernel_id": "24440350"}, {"ref": "zakarianarjis/titanic-beginner", "kernel_id": "24155380"}, {"ref": "serapgr/first-titanic-v1", "kernel_id": "24729808"}, {"ref": "alexanderscott904/matplotlib-basics-tutorial", "kernel_id": "24476620"}, {"ref": "supremebrave/titanic-first-worke", "kernel_id": "24506238"}, {"ref": "dorotajankowska/titanic-solution", "kernel_id": "24897197"}, {"ref": "mallorycw/mcw-titanic-submission", "kernel_id": "24490113"}, {"ref": "hosseindahaei/svm-algorithm", "kernel_id": "24799652"}, {"ref": "hosseindahaei/k-nearest-neighbor", "kernel_id": "24765728"}, {"ref": "farzadfar/knn-svm-model", "kernel_id": "24782467"}, {"ref": "farzadfar/logestic-regression", "kernel_id": "24546124"}, {"ref": "kasparnaraghi/titanic-predictions-svm", "kernel_id": "24727158"}, {"ref": "masatoshikato/titanic-eda-modeling-lightbgm", "kernel_id": "24719826"}, {"ref": "nedaamiri/support-vector-machine-titanic", "kernel_id": "24763609"}, {"ref": "nedaamiri/titanic-prediction-project-knn", "kernel_id": "24726725"}, {"ref": "nedaamiri/titanic-decision-tree", "kernel_id": "24948251"}, {"ref": "nedaamiri/taitanic-logestic-regrssion", "kernel_id": "24536234"}, {"ref": "stevegallegos/getting-started-with-titanic", "kernel_id": "24651204"}, {"ref": "dhairyajadav19bce050/titanic", "kernel_id": "24014921"}, {"ref": "mihirbhanderi1310/titanic", "kernel_id": "24364909"}, {"ref": "gondaliyakrish/pract-1", "kernel_id": "24188939"}, {"ref": "gondaliyakrish/fork-of-pract-1", "kernel_id": "24229371"}, {"ref": "clustercode12/titanic-ensambled-model-with-r", "kernel_id": "24008648"}, {"ref": "taylorkern/tk-titanic-submission-v01", "kernel_id": "24112409"}, {"ref": "emirac/titanic-beginner", "kernel_id": "24181729"}, {"ref": "rohan1506/pandas-tips-tricks-tutorial", "kernel_id": "24268312"}, {"ref": "rohan1506/optimizing-pandas-like-a-pro", "kernel_id": "24438047"}, {"ref": "furkangokmen/titanic", "kernel_id": "24046994"}, {"ref": "marisakamoto/titanic-decisiontree", "kernel_id": "24771572"}, {"ref": "reemaljaber/firstnn-1", "kernel_id": "24969465"}, {"ref": "kitenyu/notebook7409ec4fcb", "kernel_id": "24020003"}, {"ref": "tolgakel/titanic-eda", "kernel_id": "24040167"}, {"ref": "zeeshanmusarrat/titanic-competition", "kernel_id": "24306223"}, {"ref": "johnnylcy/titanic", "kernel_id": "24691495"}, {"ref": "shagalsajid/titanic-all-classifiers-tensorflow-84", "kernel_id": "24730536"}, {"ref": "packinman/titanic-simple-eda-and-randomforest", "kernel_id": "24176223"}, {"ref": "bestesakar/titanic-eda", "kernel_id": "24144580"}, {"ref": "alogomachine/titannic-logistic", "kernel_id": "24664908"}, {"ref": "ahmetcelik158/titanic", "kernel_id": "24486636"}, {"ref": "mayusharathod/dl-prac1", "kernel_id": "24396264"}, {"ref": "raviyavatsal/dl-prac1", "kernel_id": "24394253"}, {"ref": "saschabrehl/getting-started-with-titanic", "kernel_id": "24043144"}, {"ref": "vedantkodgirwar/titanic-achieved-with-85-07-accuracy", "kernel_id": "24043197"}, {"ref": "zaamirali/getting-started-with-titanic", "kernel_id": "24055062"}, {"ref": "sandeepagarwal23/notebookaa25e2f480", "kernel_id": "24741702"}, {"ref": "fadhilko/titanic-random-forest", "kernel_id": "24812386"}, {"ref": "rajeshwarpandey/titanic-solution-log-regression-class-23-jan", "kernel_id": "24088946"}, {"ref": "rajnikantjoshi/titanic-solution-logistic-regression-class-23-jan", "kernel_id": "24088942"}, {"ref": "niteshsingatkar/titanic-solution-logistic-regression-jan-23", "kernel_id": "24088959"}, {"ref": "karengee/titanic-project-example", "kernel_id": "24115713"}, {"ref": "mertdedeolu/titanic", "kernel_id": "24268070"}, {"ref": "fdasfasdfdsafads/titanic-lgbm-kfold", "kernel_id": "24240769"}, {"ref": "urvisinghal/titanic-eda", "kernel_id": "24469171"}, {"ref": "samyak15jain/samyak-jain", "kernel_id": "24284475"}, {"ref": "volkanmazlum/titanic-competition-in-decision-tree", "kernel_id": "24185141"}, {"ref": "junqiyan/titanic-kevin-yan", "kernel_id": "24269262"}, {"ref": "yodsathonnorin/datasci-titianic", "kernel_id": "24637125"}, {"ref": "gabrieldu69/beginner-titanic-code-0-77", "kernel_id": "24465977"}, {"ref": "orcunizmirli/titanic-eda", "kernel_id": "24442399"}, {"ref": "m26102002/titanic-disaster-machine-learning", "kernel_id": "24382198"}, {"ref": "jaykumar2862/titanic-1", "kernel_id": "24243738"}, {"ref": "matveymorozov/hello-titanic-with-minimal-feature-engineering", "kernel_id": "24263425"}, {"ref": "imanelazrek/titanic-first-submission", "kernel_id": "24269945"}, {"ref": "lszlbebesi/titanic-attempt-1-v1-0-using-random-forest", "kernel_id": "24341847"}, {"ref": "nikitakrasnytskyi/titanic-competition-nn-approach", "kernel_id": "24490877"}, {"ref": "trey007/classification-fun", "kernel_id": "24375349"}, {"ref": "okanzkaya/eda-decision-tree-classifier-accuracy-75", "kernel_id": "24985027"}, {"ref": "uomcse170034x/170034x", "kernel_id": "24289110"}, {"ref": "enesenyrek/titanic-with-ml", "kernel_id": "24810951"}, {"ref": "gabrielfea/aprendendo-titanic-machine-learning", "kernel_id": "24854638"}, {"ref": "shantanudhakadd/bivariate-and-multivariate-analysis-with-concepts", "kernel_id": "24584791"}, {"ref": "shantanudhakadd/titanic-survival-using-svc-knn-decision-gridsearch", "kernel_id": "24517540"}, {"ref": "melodyyiphoiching/titanic-survival-prediction-ml", "kernel_id": "24468686"}, {"ref": "seasky101/getting-started-with-titanic", "kernel_id": "24438812"}, {"ref": "udaykgl/first-ml-program-titanic", "kernel_id": "24444247"}, {"ref": "kkanwoo/my-first-data-analysis-for-titanic", "kernel_id": "24377422"}, {"ref": "zhaixuetan/titanic", "kernel_id": "24754093"}, {"ref": "shubhamjaiswal4/titanic-problem-with-76-accuracy", "kernel_id": "24797568"}, {"ref": "alexamuzade/notebook5b10b9e5aa", "kernel_id": "24976969"}, {"ref": "ahmetesmer/r4dut-x-titanic-eda", "kernel_id": "24868626"}, {"ref": "javigallego/top-3-fe-tuning-ensembling", "kernel_id": "24828668"}, {"ref": "aysenurozkann/titanic-decisiontreeclassifier", "kernel_id": "24619983"}, {"ref": "atmosercom/titanic", "kernel_id": "24903743"}, {"ref": "eugene147147/prediction-without-building-a-model", "kernel_id": "24550219"}, {"ref": "zagabi/titanic-gbdt", "kernel_id": "24525768"}, {"ref": "osompchiz/titanic-notebook", "kernel_id": "24507593"}, {"ref": "reafeon/notebook93bfc4d366", "kernel_id": "24523576"}, {"ref": "lovishkothari57/notebook30a3105be4", "kernel_id": "24727764"}, {"ref": "rkudoh/notebook074fef91e6", "kernel_id": "24563689"}, {"ref": "heman1993/mban6500-assignment-2", "kernel_id": "24577562"}, {"ref": "dapin1490/titanic", "kernel_id": "24759168"}, {"ref": "littlewind98/titanic-survival-classifier-top-10-percents", "kernel_id": "24667663"}, {"ref": "ndrake/notebook502375dcf4", "kernel_id": "24771880"}, {"ref": "x2021dsy/notebook", "kernel_id": "24605952"}, {"ref": "x2020cwk/titanic-survival-prediction", "kernel_id": "24606509"}, {"ref": "x2020euc/titanic", "kernel_id": "24608102"}, {"ref": "jalalnablsi/first-logistc", "kernel_id": "24731896"}, {"ref": "giuseppemagnifico/logisticregressioncv-svm-with-cv-and-nn", "kernel_id": "24928967"}, {"ref": "jonasloos/everyone-dies", "kernel_id": "24643352"}, {"ref": "yusukesueyoshi/notebook-titanic-ikura123", "kernel_id": "24660907"}, {"ref": "richardsonchris/getting-started-with-titanic", "kernel_id": "24718604"}, {"ref": "jitendrakumar64477/aj-titanic-notebook", "kernel_id": "24726355"}, {"ref": "mdanasmondol/titanic-basic-solution-using-adaboost", "kernel_id": "24737813"}, {"ref": "tolgatanrisever/titanic-eda", "kernel_id": "24894180"}, {"ref": "phawatminim/titanic-my-group", "kernel_id": "24729995"}, {"ref": "fatihmetiner/fmtnrtitanic", "kernel_id": "24848179"}, {"ref": "dusanveljkovic/titanic-logistical-reg-random-forest-svm-knn", "kernel_id": "24779595"}, {"ref": "pornpaweekongkert/titanic-notebook", "kernel_id": "24768860"}, {"ref": "jvsales/artieeeficiais-jo-o", "kernel_id": "24767325"}, {"ref": "vinayplusj/first-titanic", "kernel_id": "24774171"}, {"ref": "zenooo0/titanic", "kernel_id": "24779533"}, {"ref": "luojq2019/titanic", "kernel_id": "24863011"}, {"ref": "nikkitab/notebook6be294e060", "kernel_id": "24823494"}, {"ref": "aaronapreetheep/titanic-data", "kernel_id": "24815965"}, {"ref": "shifarahman/titanic-my-first-ever-ensemble-model", "kernel_id": "24922016"}, {"ref": "lakris13/titanic-top-5-with-randomforest", "kernel_id": "24909092"}, {"ref": "yasseinmahmoud/titanic-rf-clf", "kernel_id": "24932161"}, {"ref": "adisonone/titanic", "kernel_id": "24835536"}, {"ref": "mdriponmiah/getting-started-with-titanic", "kernel_id": "24858611"}, {"ref": "mw0615/ensemble-model-pycaret", "kernel_id": "24957050"}, {"ref": "qusaybtoush1990/titanic", "kernel_id": "24929560"}, {"ref": "hyunggyujang/titanic", "kernel_id": "24964438"}, {"ref": "likithaveluri18/titanic-survival-prediction", "kernel_id": "24952515"}, {"ref": "brenofraga/titanic-survival-prediction", "kernel_id": "24991272"}, {"ref": "nadezzz/ivanova-it-319-titanic", "kernel_id": "24993405"}, {"ref": "apundhir/titanic-dataset-eda-tutorial", "kernel_id": "25294180"}, {"ref": "shrutipatel/titanic-simple-logistic-regression-model", "kernel_id": "25676658"}, {"ref": "allunia/titanic-ship-s-log", "kernel_id": "25077865"}, {"ref": "nhulblake/titanic-survival-prediction-1st-notebook", "kernel_id": "25711083"}, {"ref": "jungj82/titanic-run-using-default-pycaret", "kernel_id": "25935996"}, {"ref": "eduballesteros/regresion-logistica-ballesteros-eduardo-isaac", "kernel_id": "25982818"}, {"ref": "boheminsan/bohemian-titanic", "kernel_id": "25913024"}, {"ref": "sachinichake/pytorch-neural-network-for-titanic", "kernel_id": "25315771"}, {"ref": "andyzeu/titanic-competition", "kernel_id": "25428523"}, {"ref": "karthikbhandary2/titanic-predictions-with-different-models", "kernel_id": "25459639"}, {"ref": "hydrobloquant/titanic", "kernel_id": "25664405"}, {"ref": "hosseint/titanic-logistic-regression-with-scik-learn", "kernel_id": "25999125"}, {"ref": "edolele/titanic-survival-crossval-81-89-score-0-78708", "kernel_id": "25445024"}, {"ref": "ahmedadel1725/notebook435cef84d2", "kernel_id": "25134840"}, {"ref": "yixing666/titanic-beginner", "kernel_id": "25887932"}, {"ref": "tomaru5963/titanic-random-forest", "kernel_id": "25942108"}, {"ref": "tomaru5963/titanic", "kernel_id": "25916359"}, {"ref": "jzhang12/binary-classification-with-titanic", "kernel_id": "25332982"}, {"ref": "skonnur/notebookd39dbc59c6", "kernel_id": "25828927"}, {"ref": "ziyad19/classification-using-random-forest-and-gbm", "kernel_id": "25935668"}, {"ref": "hadasu92/titanic-random-forest", "kernel_id": "25184746"}, {"ref": "almutairiphd/titanic-data-relationships", "kernel_id": "25939169"}, {"ref": "edoardoba/titanic-fast-approach-label-encoder-xgb", "kernel_id": "25771447"}, {"ref": "leeyj0511/titanic-best-practices-for-beginner", "kernel_id": "25464063"}, {"ref": "cramir88/test-1-titanic", "kernel_id": "25791630"}, {"ref": "alexisbcook/exercise-arithmetic-and-variables", "kernel_id": "25258219"}, {"ref": "sankarvit/titanic-suvival-classification-logistic-regression", "kernel_id": "25369183"}, {"ref": "michaelrussell4/titanic-survival-prediction", "kernel_id": "25264558"}, {"ref": "mazharulhossain/titanic-random-forest-solution", "kernel_id": "25288098"}, {"ref": "stg44g3g36hk416hk417/titanic-tutorial-with-pytorch-top-3", "kernel_id": "25047094"}, {"ref": "harshilpatel984/titanic-analysis", "kernel_id": "25703764"}, {"ref": "ccasile/titanic-example-march-2022", "kernel_id": "25184841"}, {"ref": "rinichristy/titanic-survival-prediction", "kernel_id": "25128583"}, {"ref": "parisrohan/rp-titanic-1", "kernel_id": "25603314"}, {"ref": "medninja/titanic-prediction", "kernel_id": "25110515"}, {"ref": "laplace8/titanic-220322", "kernel_id": "25625320"}, {"ref": "verukita/getting-started-with-titanic", "kernel_id": "25396096"}, {"ref": "niketanmoon/titanic-dataset-with-classification-techniques", "kernel_id": "25339360"}, {"ref": "aakcay/titanic-eda-ml", "kernel_id": "25091600"}, {"ref": "naveenkonam1985/titanic-survival-prediction-with-random-forest", "kernel_id": "25872230"}, {"ref": "bhavesh0124/tensorflow-progress-bar-beautiful", "kernel_id": "25676822"}, {"ref": "rafffael/simple-logistic-regression-decision-tree-eda", "kernel_id": "25260947"}, {"ref": "zsinghrahulk/classification-machine-learning-from-disaster", "kernel_id": "25315753"}, {"ref": "teena1097/titanic-eda-without-outlier-treatment", "kernel_id": "25320756"}, {"ref": "paulojunqueira/custom-mlp-0-78", "kernel_id": "25357157"}, {"ref": "songwonmin/linear-model-eng", "kernel_id": "25576555"}, {"ref": "taranmarley/automl-from-scratch-1", "kernel_id": "25337203"}, {"ref": "taranmarley/feature-engineering-eda-and-pycaret", "kernel_id": "25393789"}, {"ref": "muhammedtausif/titanic-simple-models-comparison", "kernel_id": "25389474"}, {"ref": "jidongkim/comento-week2", "kernel_id": "25153420"}, {"ref": "anikjain/titanic-projectswith-outlier-treatment", "kernel_id": "25308546"}, {"ref": "anikjain/titanic-projects-anik-without-outlier-treatment", "kernel_id": "25308837"}, {"ref": "bikramsinghmehra/titanic-survival-prediction", "kernel_id": "25164160"}, {"ref": "chethanbr86/titanic-survival-predictions-nn", "kernel_id": "25136372"}, {"ref": "suraz11/titanic-gradient-boosting", "kernel_id": "25261609"}, {"ref": "hasinisadunikasilva/titanic-survival-classification", "kernel_id": "25337093"}, {"ref": "farzonaeraj/titanik-ml-python", "kernel_id": "25927875"}, {"ref": "kalilurrahman/awesome-visualization-spaceship-titanic-data", "kernel_id": "25206075"}, {"ref": "salmahasan/titanic-eda", "kernel_id": "25134907"}, {"ref": "antonalexandrin/fork-of-notebook9edbae88a1", "kernel_id": "25979981"}, {"ref": "mohan4gupta/getting-started-with-kaggle-day-1", "kernel_id": "25373889"}, {"ref": "amr3laa/titanic", "kernel_id": "25663899"}, {"ref": "blackhurt/basic-titanic-modelling", "kernel_id": "25320567"}, {"ref": "kokitanisaka/titanic-eda", "kernel_id": "25913165"}, {"ref": "kokitanisaka/titanic-cross-validation", "kernel_id": "25943622"}, {"ref": "kokitanisaka/titanic-first-model", "kernel_id": "25927755"}, {"ref": "kanansuleyman/titanicnn-ipynb", "kernel_id": "25307861"}, {"ref": "ramialnagdi/titanic-notebook-with-accuracy-more-than-0-95", "kernel_id": "25135794"}, {"ref": "uyeanil/titanic-simple-ml-workflow-gradient-boosting", "kernel_id": "25622644"}, {"ref": "uyeanil/titanic-custom-transformer-pipeline-pycaret", "kernel_id": "25885852"}, {"ref": "conradcrowley/partial-dependence-plots", "kernel_id": "25805999"}, {"ref": "georgyzubkov/titanic-simple-eda-machine-learning", "kernel_id": "25903856"}, {"ref": "bhavinmoriya/titanic-advanced-eda", "kernel_id": "25052897"}, {"ref": "asisd34/notebookfe2020eac6", "kernel_id": "25607831"}, {"ref": "rohanbavishi/fork-of-titanic-prediction-with-voting-classifier", "kernel_id": "25238824"}, {"ref": "rohanbavishi/titanic-prediction-with-voting-classifier-cv", "kernel_id": "25133516"}, {"ref": "rohanbavishi/titanic-survival-with-roc-analysis", "kernel_id": "25472315"}, {"ref": "omkarchoulwar/titanic-survival-prediction", "kernel_id": "25538806"}, {"ref": "zalatorian/titanic-dataset", "kernel_id": "25170901"}, {"ref": "omaralnashar/titanic-pycaret-extra-tree", "kernel_id": "25311412"}, {"ref": "vladaalexeevna/titanic", "kernel_id": "25063398"}, {"ref": "yashinkuo/titanic-eda", "kernel_id": "25056742"}, {"ref": "raphaelcs/raphael-titanic", "kernel_id": "25647416"}, {"ref": "syedmehdikazim/81-43-accuray-using-simple-neural-network-0-0", "kernel_id": "25423954"}, {"ref": "harshakumawat/notebook718073798b", "kernel_id": "25170140"}, {"ref": "farukbaykara/titanic-survial-prediction", "kernel_id": "25954356"}, {"ref": "paulralph/who-survived-the-titanic", "kernel_id": "25066088"}, {"ref": "shreyasgangopadhyay/titanic-dataset-predictions-81-accuracy", "kernel_id": "25748027"}, {"ref": "kareemfouad/titanic-logistic-regression-eda-to-prediction", "kernel_id": "25135167"}, {"ref": "nobodysboredom/fork-of-titanic-data-analysis", "kernel_id": "25837519"}, {"ref": "dikshanigam/kaggle-session", "kernel_id": "25279668"}, {"ref": "mohammedadeleltohamy/titanic-prediction", "kernel_id": "25205473"}, {"ref": "sarahmamdouh/eda-for-titanic", "kernel_id": "25134930"}, {"ref": "batoolalghamdi/titanic-data-analysis", "kernel_id": "25198732"}, {"ref": "aipi12/interactive-visualisations-simple-models", "kernel_id": "25237582"}, {"ref": "idimitrii/logregression-titanic-0-78229", "kernel_id": "25762250"}, {"ref": "guilhermecarmo/titanic", "kernel_id": "25409001"}, {"ref": "oishikg/random-forest-based-titanic-survival-classifier", "kernel_id": "25431462"}, {"ref": "brasarkaya/fork-of-titanic-eda-and-machine-learning", "kernel_id": "25622144"}, {"ref": "zgrcemta/titanic-dataset-survival-prediction-76-acc", "kernel_id": "25101866"}, {"ref": "khushalkarim/titanic-machine-learning-disaster-github-version", "kernel_id": "25975410"}, {"ref": "yaraabdelmegeed/decision-tree-titanic-data", "kernel_id": "25135192"}, {"ref": "cemozdemir/eda-and-hyperparameter-tuning", "kernel_id": "25773960"}, {"ref": "adrianabezerrabessa/titanic-neural-network-for-beginners-v1", "kernel_id": "25642111"}, {"ref": "howaidaallam/eda-titanic-survival", "kernel_id": "25205135"}, {"ref": "kartushovdanil/mlops-how-to-be-rock-of-ml", "kernel_id": "25803398"}, {"ref": "campodade/sl-ex4-prostate-shrinkage-gradinaru-camponogara", "kernel_id": "25379602"}, {"ref": "kaiusdepaulacorrea/tragedy-classification-model-deployment", "kernel_id": "25680401"}, {"ref": "anutural/notebookdf417f4f94", "kernel_id": "25013304"}, {"ref": "abanoubyoussef/titanic-dataset-analysis-prediction", "kernel_id": "25356214"}, {"ref": "danb91/titanic-in-depth-eda-feature-eng-and-rf-model", "kernel_id": "25727089"}, {"ref": "sylwiakmiec/getting-started", "kernel_id": "25343487"}, {"ref": "sakalyamitra/eda-on-titanic", "kernel_id": "25246302"}, {"ref": "chiragpachori/getting-started-with-titanic", "kernel_id": "25746153"}, {"ref": "eliasjaffe/titanic-meta-estimators", "kernel_id": "25597995"}, {"ref": "honglanli/titanic-preprocess2learnmodel-acc0-99", "kernel_id": "25887903"}, {"ref": "ahmedmsoliman/titanic", "kernel_id": "25427981"}, {"ref": "redeyes0007/titanic-notebook", "kernel_id": "25316076"}, {"ref": "thariqnugrohotomo/titanic-onehotencoding-for-ticket-and-cabin", "kernel_id": "25300918"}, {"ref": "serapaltunbulak/titanic-ieee", "kernel_id": "25910351"}, {"ref": "wxdespair/my-titanic-sub", "kernel_id": "25730404"}, {"ref": "jiantay33/titanic-prediction", "kernel_id": "25820273"}, {"ref": "hkhiroshima/titanic-baseline-with-shap-en-jp", "kernel_id": "25479424"}, {"ref": "anurag2405/titanic-classification", "kernel_id": "25649693"}, {"ref": "shubhamdandekar/notebookf121d0a9be", "kernel_id": "25718709"}, {"ref": "morijun/hait-8-titanic-minimum-baseline2", "kernel_id": "25254644"}, {"ref": "alerosso/titanic-top-20-espa-ol-italiano-english", "kernel_id": "25977331"}, {"ref": "amermhatem/titanic-with-nn", "kernel_id": "25655247"}, {"ref": "hengwdai/nlp-feature", "kernel_id": "25715691"}, {"ref": "rhythmcam/preprocess-basic-ordinalencoder-usage", "kernel_id": "25671923"}, {"ref": "rhythmcam/eda-basic-skimpy-usage", "kernel_id": "25675869"}, {"ref": "rhythmcam/pandas-basic-drop-columns-append-columns", "kernel_id": "25776053"}, {"ref": "rhythmcam/using-feature-importance-util-titanic", "kernel_id": "25772547"}, {"ref": "rhythmcam/function-feature-importance-using-corr", "kernel_id": "25756057"}, {"ref": "rhythmcam/titanic-cbm-rcv", "kernel_id": "25954016"}, {"ref": "rhythmcam/dummy-standard", "kernel_id": "25609401"}, {"ref": "rhythmcam/using-null-data-feature-engineering-util", "kernel_id": "25545956"}, {"ref": "rhythmcam/titanic-pycaret-decision-tree", "kernel_id": "25160246"}, {"ref": "rhythmcam/null-data-auto-feature-engineering", "kernel_id": "25151098"}, {"ref": "rhythmcam/titanic-pycaret-lightgbm", "kernel_id": "25180097"}, {"ref": "rhythmcam/keras-titanic-ann", "kernel_id": "25254346"}, {"ref": "rhythmcam/keras-tuner-titanic", "kernel_id": "25221186"}, {"ref": "rhythmcam/autolgbm-titanic", "kernel_id": "25038163"}, {"ref": "rhythmcam/titanic-lightningflash-prediction", "kernel_id": "25133219"}, {"ref": "rhythmcam/keras-randomforestmodel-titanic", "kernel_id": "25312310"}, {"ref": "rhythmcam/titanic-pycaret-extra-tree", "kernel_id": "25300884"}, {"ref": "rhythmcam/titanic-pycaret-random-forest", "kernel_id": "25376896"}, {"ref": "rhythmcam/preprocess-basic-quantiletransformer-usage", "kernel_id": "25430957"}, {"ref": "rhythmcam/catboost-with-quantiletransformer", "kernel_id": "25490238"}, {"ref": "rhythmcam/titanic-autogluon-timelimit", "kernel_id": "25530129"}, {"ref": "davidhjek/titanic", "kernel_id": "25650167"}, {"ref": "ravinathwanni/titanic-survival-prediction-0-78628", "kernel_id": "25219523"}, {"ref": "mehmetyiitakn/titanic-submission-1-gaussiannb", "kernel_id": "25302049"}, {"ref": "mehmetyiitakn/titanic-submission-0-randomforestclassier", "kernel_id": "25299662"}, {"ref": "luckychitundu/ml-from-disaster", "kernel_id": "25234170"}, {"ref": "omanshugaidhane/getting-started-with-titanic-dataset-s-1", "kernel_id": "25748341"}, {"ref": "pburke1977/notebookd8b9161f10", "kernel_id": "25935120"}, {"ref": "jkanthony/logistic-regression-decision-tree-classification", "kernel_id": "25064423"}, {"ref": "sahilnimsarkar/titanic", "kernel_id": "25870387"}, {"ref": "pkalai/titanic-sample-with-pipelines-and-few-algos", "kernel_id": "25945200"}, {"ref": "gustavoliberado/xgboost-walkthrough-titanic", "kernel_id": "25443193"}, {"ref": "sangitamule/titanic-compitition", "kernel_id": "25293416"}, {"ref": "sangitamule/titanic-compitition-ml", "kernel_id": "25627218"}, {"ref": "sourabh2001/titanic-survival-prediction-logistic-regression", "kernel_id": "25926796"}, {"ref": "sourabh2001/titanic-survival-with-prediction-with-79-accuracy", "kernel_id": "25835697"}, {"ref": "fedorshestakov/submission-dt-gb", "kernel_id": "25346279"}, {"ref": "usama713/titanic-data-modelling-machine-learning", "kernel_id": "25679582"}, {"ref": "manishyadav51/titanic", "kernel_id": "25441176"}, {"ref": "ramniwashkumar/titanic-standardscaler-logisticregression", "kernel_id": "25486144"}, {"ref": "daveees/titanic-logistic-regresion", "kernel_id": "25065082"}, {"ref": "leonsamsongomes/titanic-version-1", "kernel_id": "25383476"}, {"ref": "munimishra/titanic-frist-submittion", "kernel_id": "25462912"}, {"ref": "francescoaliatis/titanic-xgboost-plotly-make-it-simple", "kernel_id": "25234089"}, {"ref": "bhatnagardaksh/master-the-art-of-classification-with-custom-class", "kernel_id": "25738012"}, {"ref": "omarhussien12/baseline", "kernel_id": "25465079"}, {"ref": "husadahertzsprung/ask-the-ranger-for-titanic-survival", "kernel_id": "25916570"}, {"ref": "stuxnete/titanic-using-xgboost-and-randomforest", "kernel_id": "25951615"}, {"ref": "ishansagawadia/ml-project-titanic-survivl-prediction", "kernel_id": "25314471"}, {"ref": "skandermejbri/titanic", "kernel_id": "25783607"}, {"ref": "iketuba/hait-8-baseline", "kernel_id": "25297811"}, {"ref": "iketuba/hait-8-baseline-plus", "kernel_id": "25305921"}, {"ref": "iketuba/titanic-hait", "kernel_id": "25252502"}, {"ref": "hossammohameddergham/titanic-hossam-mohamed", "kernel_id": "25198725"}, {"ref": "nidzsharma/getting-started-with-titanic", "kernel_id": "25996651"}, {"ref": "mohitlokhande/titanic-dataset-analysis", "kernel_id": "25236196"}, {"ref": "sujithasurendran/titanic-mlproject", "kernel_id": "25906523"}, {"ref": "nabilelyazidi/titanic-survival-prediction", "kernel_id": "25929684"}, {"ref": "gsrprksh/titanic-dataset", "kernel_id": "25136918"}, {"ref": "erybor/getting-started-with-titanic", "kernel_id": "25835745"}, {"ref": "ashubhamawale/eda-on-titanic-dataset", "kernel_id": "25497640"}, {"ref": "marwanamr/eda-titanic", "kernel_id": "25328233"}, {"ref": "ebrahimghantiwala/titonic", "kernel_id": "25447191"}, {"ref": "benyaminzojaji/mlp-titanic-prediction", "kernel_id": "25058892"}, {"ref": "ahmedzidan/data-science-in-python", "kernel_id": "25052298"}, {"ref": "ahmedzidan/ensembling-in-python", "kernel_id": "25009317"}, {"ref": "tarasvasylyshyn/notebooksimpletitanicfordeployment", "kernel_id": "25990806"}, {"ref": "ravi20076/titanic-eda-model-custompipelines", "kernel_id": "25925653"}, {"ref": "tianjunchen/titanic-project-example", "kernel_id": "25515375"}, {"ref": "ksy111/comento-week2", "kernel_id": "25132562"}, {"ref": "yuyougnchan/titanic-nepali-data-analysis-in-r", "kernel_id": "25664044"}, {"ref": "wasaya/titanic-dataset-analysis", "kernel_id": "25989525"}, {"ref": "devangvinci/survival-prediction-pipeline-has-errors", "kernel_id": "25403478"}, {"ref": "devangvinci/titanic-survival-predictions-sklearn-scikit-learn", "kernel_id": "25373674"}, {"ref": "mohamedelgebaly/simple-advanced-classification-algorithms", "kernel_id": "25199814"}, {"ref": "isaacangyu/example-titanic-code", "kernel_id": "25812292"}, {"ref": "subatomic/homework-3", "kernel_id": "25573802"}, {"ref": "adityawath/getting-started-with-titanic", "kernel_id": "25235512"}, {"ref": "brunohuart/titanic-easy-models", "kernel_id": "25647327"}, {"ref": "jerryhkl/simple-logistic-regression-model", "kernel_id": "25743769"}, {"ref": "jerryhkl/titanic-logistic-regression-with-python", "kernel_id": "25743578"}, {"ref": "abhijeetp8946/titanic-data", "kernel_id": "25172923"}, {"ref": "caerno/grid-search-data-transformation-parameters", "kernel_id": "25355097"}, {"ref": "japancolorado/titanic-competition", "kernel_id": "25362754"}, {"ref": "danieltamezgil/actividad-3", "kernel_id": "25562636"}, {"ref": "alrizacelk/titanic", "kernel_id": "25778295"}, {"ref": "mimi9672/missing-value-example", "kernel_id": "25253870"}, {"ref": "gargmanav/dm-prac-6", "kernel_id": "25251516"}, {"ref": "ahmedmuelkholy/titanic-predictions", "kernel_id": "25235862"}, {"ref": "willianhaeberlin/titanic-prediction-primitive-ensemble", "kernel_id": "25962780"}, {"ref": "dylanstadler/titanic-binary-classification", "kernel_id": "25883542"}, {"ref": "nisaneretva/titanic-eda", "kernel_id": "25342536"}, {"ref": "nimenides/lazytitanic", "kernel_id": "25574959"}, {"ref": "hosamwajeeh/titanic-survival-crossval-81-89-score-0-78708", "kernel_id": "25128005"}, {"ref": "hosamwajeeh/super-learning-on-the-titanic-dataset", "kernel_id": "25703782"}, {"ref": "caglarerdiz/titanic-logistic-regression", "kernel_id": "25078545"}, {"ref": "ronensaviz/titanic-ml", "kernel_id": "25206105"}, {"ref": "algord/titanic-logistic-regression", "kernel_id": "25434774"}, {"ref": "saraghotb/titanic", "kernel_id": "25239615"}, {"ref": "saronibhattacharya/notebook28e4ea2e86", "kernel_id": "25844837"}, {"ref": "dylanyves/titanic-classification-svc", "kernel_id": "25041631"}, {"ref": "jacobbenari/ml-course-2022-titanic-assignment", "kernel_id": "25147046"}, {"ref": "mdmaazkhan/titanic-week3", "kernel_id": "25403475"}, {"ref": "luistrindade/titanic-challenge-notebook", "kernel_id": "25735604"}, {"ref": "stilleholz/titanic-trial", "kernel_id": "25726388"}, {"ref": "haoyuchang/titanic-math-o", "kernel_id": "25611543"}, {"ref": "yassinesedjari/titanic-machine-learning-from-disaster-using-svc", "kernel_id": "25877378"}, {"ref": "sangeethaven/titanic-first-notebook", "kernel_id": "25264555"}, {"ref": "aryanandakumar/titanic-prediction-using-logistic-regression", "kernel_id": "25219785"}, {"ref": "midhunas/titanic-prediction", "kernel_id": "25209289"}, {"ref": "jcahill/titanic-teaching", "kernel_id": "25847121"}, {"ref": "deepthinagaraj/notebook98cc3f8699", "kernel_id": "25684758"}, {"ref": "soniyasneha/machine-learning-from-disaster", "kernel_id": "25397556"}, {"ref": "kaarthilalgy/titanic-svm", "kernel_id": "25576667"}, {"ref": "ghkhaz/getting-started-with-titanic", "kernel_id": "25347924"}, {"ref": "shalevsaban/titanic-mission", "kernel_id": "25315817"}, {"ref": "meenakshisajan/my-titanic-prediction", "kernel_id": "25061793"}, {"ref": "arishmam/titanic", "kernel_id": "25250324"}, {"ref": "athirags/titanic-dataset-prediction", "kernel_id": "25197495"}, {"ref": "diyasanthosh/logistic-regression-using-titanic-dataset", "kernel_id": "25061399"}, {"ref": "josebinjose/titanic-prediction", "kernel_id": "25246955"}, {"ref": "fathimaibrahimkunju/notebook4198cf63bd", "kernel_id": "25250305"}, {"ref": "arathipraj/titanic-prediction", "kernel_id": "25248487"}, {"ref": "midhundasl/titanic-survival-prediction", "kernel_id": "25133699"}, {"ref": "aravindas01/titanic-prediction-tree", "kernel_id": "25249771"}, {"ref": "tugbabz/titanic", "kernel_id": "25381821"}, {"ref": "anjusunilkumar/titanic-dataset-prediction", "kernel_id": "25338818"}, {"ref": "meeratif/titanic-eda-and-ensemble", "kernel_id": "25428812"}, {"ref": "amritharj/titanic-prediction", "kernel_id": "25248264"}, {"ref": "mehemetaliekici/binary-logistic-regression-titanic-dataset", "kernel_id": "25324131"}, {"ref": "mehemetaliekici/ml-with-titanic-turkish-notebook", "kernel_id": "25806951"}, {"ref": "omarmohamedyehia/titanic-survival-prediction", "kernel_id": "25698035"}, {"ref": "baraaalialherwi/exploratory-data-analysis-of-titanic-survival", "kernel_id": "25145150"}, {"ref": "ampiiere/titanic-survival-prediction-eda-machine-learning", "kernel_id": "25298969"}, {"ref": "natsukihashimoto/useful-python-dictionary", "kernel_id": "25216420"}, {"ref": "imvision12/tf-decision-forest-neural-network", "kernel_id": "25829273"}, {"ref": "ahmadalkhateeb123/titanic-randomforest-score-0-78947", "kernel_id": "25112180"}, {"ref": "leontrotsky/titanic-albin", "kernel_id": "25636706"}, {"ref": "jakkuehn/titanic-svm-model-in-r", "kernel_id": "25643404"}, {"ref": "mlyass/simple-advanced-classification-algorithms", "kernel_id": "25296629"}, {"ref": "klu2000031964/titanic-code", "kernel_id": "25269221"}, {"ref": "srikoushik/titanic-data-analysis", "kernel_id": "25394720"}, {"ref": "fnikan/titanic", "kernel_id": "25140493"}, {"ref": "pascalliu/titanic-pascal", "kernel_id": "25615738"}, {"ref": "rajeev102001/titanic-problem-solution", "kernel_id": "25830603"}, {"ref": "gracegillig/grace-titanic-final-submission", "kernel_id": "25256851"}, {"ref": "kirosakamoto/notebooka823a41613", "kernel_id": "25644769"}, {"ref": "llnovall/pytorch-titanic-machine-learning-from-disaster", "kernel_id": "25309204"}, {"ref": "darkwyvern/titanic-machine-learning-from-disaster", "kernel_id": "25753878"}, {"ref": "atulad7535/titanic-final", "kernel_id": "25947506"}, {"ref": "atulad7535/titanic-project", "kernel_id": "25989187"}, {"ref": "heggadal/titanic-prediction-using-pipeline", "kernel_id": "25302886"}, {"ref": "prateetichinchore/my-first-notebook-with-titanic-dataset", "kernel_id": "25663247"}, {"ref": "fotisavgoustidis/titanic-comp-1st-attempt-trying-out-models", "kernel_id": "25794530"}, {"ref": "dineshkumar1993/titanic-prediction", "kernel_id": "25869227"}, {"ref": "furkanerhan/yam328-introduction-to-machine-learning-project", "kernel_id": "25969910"}, {"ref": "khashayarrahimi94/what-not-to-do-in-titanic-feature-engineering", "kernel_id": "25248572"}, {"ref": "khashayarrahimi94/votingclassifier-ensemble-with-just-5-feature", "kernel_id": "25518531"}, {"ref": "khashayarrahimi94/random-forest-with-only-3-features", "kernel_id": "25760647"}, {"ref": "khashayarrahimi94/meditation-on-the-cabin", "kernel_id": "25700176"}, {"ref": "khashayarrahimi94/how-divergence-the-train-test-distributions-are", "kernel_id": "25654132"}, {"ref": "khashayarrahimi94/random-forest-tuning-layer-based", "kernel_id": "25877375"}, {"ref": "jesusmgv/basic-titanic-logreg", "kernel_id": "25884411"}, {"ref": "abdurrahimblkba/lk-adimnic-tita", "kernel_id": "25000561"}, {"ref": "jooartursilveira/titanic-eda-and-ml-classification-methods", "kernel_id": "25836302"}, {"ref": "alogomachine/notebook3b236279f5", "kernel_id": "25170857"}, {"ref": "kattat/they-were-doomed-from-noob-s-perspective", "kernel_id": "25120696"}, {"ref": "preet45/titanic-boosting", "kernel_id": "25258797"}, {"ref": "mistrysunny/19bce131-pratical1", "kernel_id": "25270898"}, {"ref": "alphonse16/titanic-linear-model", "kernel_id": "25329526"}, {"ref": "arushisomani/testing", "kernel_id": "25194974"}, {"ref": "shahnazjafari/titanic-logistic-regression-lda", "kernel_id": "25004506"}, {"ref": "tobymallon/fork-of-toby-s-titanic-4482a1", "kernel_id": "25290072"}, {"ref": "matiasstringa/titanic-started", "kernel_id": "25044412"}, {"ref": "samemison/titanic-first-try", "kernel_id": "25010183"}, {"ref": "noahwainstock/titanic-stuff-real", "kernel_id": "25013261"}, {"ref": "bennettgillig/titanic2", "kernel_id": "25012701"}, {"ref": "christopherashih/titanic-adam-35-epochs-fixed-random-state", "kernel_id": "25046525"}, {"ref": "akshaypawar7/roc-auc-decision-boundary-for-titanic-survival", "kernel_id": "25496528"}, {"ref": "sakshishelke29/notebook359c41a5de", "kernel_id": "25250865"}, {"ref": "cagricsengul/titanic-eda", "kernel_id": "25829532"}, {"ref": "henkim/titanic-prediction", "kernel_id": "25044464"}, {"ref": "kirilosyossif/my-first-python-code-titanic-tutorial", "kernel_id": "25175959"}, {"ref": "abhishek123maurya/mishappening-of-titanic", "kernel_id": "25153335"}, {"ref": "yasinghasemipour/myproject", "kernel_id": "25597192"}, {"ref": "mostafawkh/titanic-project-notebook-top-6", "kernel_id": "25033031"}, {"ref": "paznahmias/titanicnotebook", "kernel_id": "25094958"}, {"ref": "ruslanbredun/mytitanic", "kernel_id": "25943499"}, {"ref": "melodyyiphoiching/titanic-prediction-ml-decision-tree", "kernel_id": "25786369"}, {"ref": "shantanutk007/titanic-eda-prediction", "kernel_id": "25143687"}, {"ref": "yiukitcheung/titanic", "kernel_id": "25417349"}, {"ref": "gauravsahane/titanic-using-logistic-regression", "kernel_id": "25372723"}, {"ref": "siridean/titanic-dnn-survival-predictions", "kernel_id": "25214394"}, {"ref": "zenalytiks/predicting-survival-with-logistic-regression", "kernel_id": "25355547"}, {"ref": "marcopatino/titianic-survival-competition-voting-classifier", "kernel_id": "25105507"}, {"ref": "charansaiv/titanic", "kernel_id": "25175587"}, {"ref": "leoyip/titanic-survival-prediction", "kernel_id": "25258449"}, {"ref": "olalekandamola/titanic-survival-prediction", "kernel_id": "25923914"}, {"ref": "ananmohamed/titanic-eda", "kernel_id": "25135017"}, {"ref": "benkatzav/titanic-notebook-ben-katzav", "kernel_id": "25212153"}, {"ref": "yukiyokochi/titanic-rfc", "kernel_id": "25096309"}, {"ref": "aromadsouza/titanic", "kernel_id": "25108163"}, {"ref": "nohamahmoud22/eda-for-titanic-task-competition-1", "kernel_id": "25228632"}, {"ref": "economicobsession/kagglethon-titanic", "kernel_id": "25556937"}, {"ref": "amirhosainmahdiani/titanic-dataset-prediction", "kernel_id": "25304716"}, {"ref": "maharanasaroj/titanic-python-crossvalidation", "kernel_id": "25331373"}, {"ref": "rashmi25borgohain/first-kaggle-attempt-titanic-disaster-survival", "kernel_id": "25112063"}, {"ref": "sagdayasser/titanic-answer", "kernel_id": "25157714"}, {"ref": "aymnsh/titanic-disaster", "kernel_id": "25177285"}, {"ref": "ciprianursuleac/titanic", "kernel_id": "25008177"}, {"ref": "dogukanalparslan/titanic-prediction", "kernel_id": "25263400"}, {"ref": "zkzwj1/fork-of-notebookea295b410f", "kernel_id": "25086537"}, {"ref": "moakarim/titanic-1", "kernel_id": "25139341"}, {"ref": "heinlam/notebook-hyperparameter-tuning-ensemble-modeling", "kernel_id": "25199227"}, {"ref": "jzhang233/titanic-survival-prediction", "kernel_id": "25399100"}, {"ref": "nourhananoaman/titanic-ml-course", "kernel_id": "25134895"}, {"ref": "nourhananoaman/final-titanic-ml-task", "kernel_id": "25254584"}, {"ref": "febymelania/data-visualitation-titanic-project", "kernel_id": "25069455"}, {"ref": "mohamedarafa0527/titanic", "kernel_id": "25134836"}, {"ref": "sadpepethefrog/titanic-deep-learning", "kernel_id": "25152766"}, {"ref": "sadpepethefrog/titanic-classification", "kernel_id": "25092278"}, {"ref": "valentinkonarski/titanic", "kernel_id": "25464705"}, {"ref": "youssefk1/exercice-3-pycaret-titanic", "kernel_id": "25464930"}, {"ref": "lameesmohammad/titanic-machine-learning-from-disaster-notebook", "kernel_id": "25137990"}, {"ref": "semihynet/titanic-with-4-models-and-custom-ensemble", "kernel_id": "25165986"}, {"ref": "jikkie/titanic-with-data-preparation", "kernel_id": "25825191"}, {"ref": "davidsorensen00/titanic-entry", "kernel_id": "25839495"}, {"ref": "mirandahalpern/titanic-part-1", "kernel_id": "25047580"}, {"ref": "zyaibi/gridsearch-pipeline", "kernel_id": "25273041"}, {"ref": "zyaibi/elevenestimators", "kernel_id": "25452395"}, {"ref": "nipunbhal/titanic-survival-prediction", "kernel_id": "25774156"}, {"ref": "altayadam/titanic-eda", "kernel_id": "25036650"}, {"ref": "altayadam/titanic-logistic-regression-and-ann-with-python", "kernel_id": "25617976"}, {"ref": "solomonteng/art-of-ensemble", "kernel_id": "25415691"}, {"ref": "dmitrykorogod/titanic", "kernel_id": "25003790"}, {"ref": "zwestin/titanic", "kernel_id": "25464837"}, {"ref": "ash28j/titanic-model-final", "kernel_id": "25932008"}, {"ref": "shankeshrajums/titanic-models", "kernel_id": "25671196"}, {"ref": "aetiuslee/titanic-age-prediction", "kernel_id": "25064199"}, {"ref": "ulaznar/titanic-tutorial", "kernel_id": "25129277"}, {"ref": "techieak06/titanic-analysis", "kernel_id": "25209880"}, {"ref": "alex352/titanic-assignment", "kernel_id": "25928463"}, {"ref": "shubhampatil47/titanic-prediction-80-four-models-with-eda", "kernel_id": "25435399"}, {"ref": "amyhewitt/titanic-machine-learning-from-disaster", "kernel_id": "25185401"}, {"ref": "lagartoxa/titanic-competition-decision-tree", "kernel_id": "25167644"}, {"ref": "swetamangal/first", "kernel_id": "25480346"}, {"ref": "aurelialiu/3-22-titanic-aurelia", "kernel_id": "25591962"}, {"ref": "santhoshai/santhosh-titanic-learn", "kernel_id": "25099673"}, {"ref": "bidemiayinde/titanic-gradientboostingclassifier", "kernel_id": "25587042"}, {"ref": "jakubpolczyk/getting-started-with-titanic", "kernel_id": "25118146"}, {"ref": "filipgawroski/filip-titanic", "kernel_id": "25189061"}, {"ref": "filipgawroski/titanic2", "kernel_id": "25213498"}, {"ref": "beatadziakjankowska/notebook95e4475b98", "kernel_id": "25187495"}, {"ref": "martazemlik/titanic-umbd", "kernel_id": "25413963"}, {"ref": "alesta9/titanic-eda", "kernel_id": "25515831"}, {"ref": "maligavenkatesh/titanic-disaster", "kernel_id": "25671826"}, {"ref": "nadermaram/titanic-shipwreck", "kernel_id": "25311696"}, {"ref": "avishekgurung/titanic-machine-learning-from-disaster", "kernel_id": "25420982"}, {"ref": "sebastienban/preprocessing-decision-tree", "kernel_id": "25749548"}, {"ref": "mathurmudit2022/titanic-survival-classification", "kernel_id": "25429847"}, {"ref": "bhanugupta18/my-first-ml-project", "kernel_id": "25196109"}, {"ref": "doronmashiach/titanic", "kernel_id": "25206341"}, {"ref": "saragrant/titanicstartsara", "kernel_id": "25329781"}, {"ref": "jordane95/titanic-jordane", "kernel_id": "25592281"}, {"ref": "benoityin/titanic-benoit", "kernel_id": "25624021"}, {"ref": "lorenzocen/notebook03796d0e77", "kernel_id": "25603363"}, {"ref": "alexishzl/titanic", "kernel_id": "25673406"}, {"ref": "kehengwang/notebookfd02e342de", "kernel_id": "25592320"}, {"ref": "maevaliu/titanic-maevaliu", "kernel_id": "25591871"}, {"ref": "a23456789b/assignment-10-chava2", "kernel_id": "25225757"}, {"ref": "vincentalainlaurent/getting-started-with-tic-tac-nic", "kernel_id": "25226621"}, {"ref": "mayvor/ramdom-forest-simple", "kernel_id": "25254620"}, {"ref": "tusharbedse147/titanic-survival-xgb", "kernel_id": "25298085"}, {"ref": "freireiter75/titanic-starting-with-machine-learning", "kernel_id": "25929937"}, {"ref": "freireiter75/titanic-do-more-data-exploration", "kernel_id": "25996432"}, {"ref": "bayramyilmaztr/titanic-eda-study-with-dataiteam", "kernel_id": "25558231"}, {"ref": "bayramyilmaztr/titanic-data-analysis-for-training", "kernel_id": "25435593"}, {"ref": "haku9627/titanic-my-first-self-driven-project", "kernel_id": "25410856"}, {"ref": "taiseikajihara/hait-8-baseline", "kernel_id": "25314085"}, {"ref": "tabusaha/getting-started", "kernel_id": "25303014"}, {"ref": "maulikagrawal111/titanic-survive", "kernel_id": "25302428"}, {"ref": "oikawadaisuke/hait-8-baseline", "kernel_id": "25314153"}, {"ref": "aliamini587/titanicbyme", "kernel_id": "25373013"}, {"ref": "l0ngant/titanic-1st-attempt", "kernel_id": "25952470"}, {"ref": "dmitriimitrofanov/notebook4da577fda8", "kernel_id": "25379334"}, {"ref": "putrianggiacahyani/notebook9e091c0a98", "kernel_id": "25393242"}, {"ref": "yuknodadada/titanic-rf", "kernel_id": "25629186"}, {"ref": "specialy/titanic", "kernel_id": "25412215"}, {"ref": "vagnercassola/titanic-dummies-and-variance-inflation", "kernel_id": "25782582"}, {"ref": "vagnercassola/titanic-this-code-will-sink-score-0-79", "kernel_id": "25468990"}, {"ref": "jislinchen/prediction-with-logistic-model", "kernel_id": "25476946"}, {"ref": "victormadonascimento/titanic-survival-for-beginners-score-0-78", "kernel_id": "25431041"}, {"ref": "wolfwood0627/titanic-pytroch-nn", "kernel_id": "25756834"}, {"ref": "selcukksgl/selcuk-koseoglu-titanic-project", "kernel_id": "25477659"}, {"ref": "drmohdtareqsiddiqui/titanic-survival-prediction-kaggle-project", "kernel_id": "25638680"}, {"ref": "chewziqing/first-notebook", "kernel_id": "25545842"}, {"ref": "patricechen/titanic-patrice", "kernel_id": "25597908"}, {"ref": "robinzy2124121/titanic-robin", "kernel_id": "25607920"}, {"ref": "gaetancao/titanic-gaetan", "kernel_id": "25615370"}, {"ref": "bricezy/titanic-brice", "kernel_id": "25625395"}, {"ref": "xiaokevin2022/titanic-01", "kernel_id": "25642094"}, {"ref": "bryanyaoyi/titanic", "kernel_id": "25630219"}, {"ref": "thevode/titanic-test", "kernel_id": "25644805"}, {"ref": "ilyazhang/titanic-ilya", "kernel_id": "25638896"}, {"ref": "zhugeyyds/titanic", "kernel_id": "25922245"}, {"ref": "henharati/titanic-hen-harati", "kernel_id": "25693817"}, {"ref": "bvialla/titanic", "kernel_id": "25675062"}, {"ref": "marcelofiuba/1-visualizaci-n-titanic-repaso-pandas", "kernel_id": "25685273"}, {"ref": "eliranmalichy/titanic-ml", "kernel_id": "25697792"}, {"ref": "karenbolon/titanic-predictions-rfc", "kernel_id": "25702103"}, {"ref": "siwarfalah/my-first-competition-titanic-competition", "kernel_id": "25739636"}, {"ref": "hishamparveez/titanic-survival-prediction-using-knn", "kernel_id": "25937421"}, {"ref": "tunishasinghania/titanic-basic-solution-using-adaboost-da7cc8", "kernel_id": "25968799"}, {"ref": "elianaharriet/gu-a-de-ejercicios", "kernel_id": "25959024"}, {"ref": "nacho2222/notebook707f668b56", "kernel_id": "25812631"}, {"ref": "priyankapoosapati/notebookeb2303cab4", "kernel_id": "25840233"}, {"ref": "abhaykoushal01/titanic-data-science-solutions", "kernel_id": "25883327"}, {"ref": "tinaramezani/titanic", "kernel_id": "25888663"}, {"ref": "ramonbrazil/notebookb73e0502ed", "kernel_id": "25960124"}, {"ref": "swarajkhan/why-did-you-sink-titanic", "kernel_id": "25905637"}, {"ref": "anindyaprameswari1/titanic-survival-prediction", "kernel_id": "25917998"}, {"ref": "lengkhyesut/titanic-survival-prediction-using-random-forest", "kernel_id": "25991942"}, {"ref": "jhoward/linear-model-and-neural-net-from-scratch", "kernel_id": "26989599"}, {"ref": "perotti/titanic-disaster-a-genetic-algorithm-approach", "kernel_id": "26555422"}, {"ref": "marbel/notebook87ee758cbc", "kernel_id": "26986584"}, {"ref": "garbo999/titanic-by-gary", "kernel_id": "26581967"}, {"ref": "jhonan/titanic-logistic-regression-in-r", "kernel_id": "26590910"}, {"ref": "sourabharsh/titanic-custom-pipeline", "kernel_id": "26007031"}, {"ref": "kontaro1/machine-learning-model-heart-disease", "kernel_id": "26723251"}, {"ref": "emphymachine/20220421-day2-practice-solution", "kernel_id": "26438987"}, {"ref": "hobbsaustin/titanic-try", "kernel_id": "26397216"}, {"ref": "shivamanhar/titanic-keras-sequential-model", "kernel_id": "26491610"}, {"ref": "nrifdatun/the-beginning-titanic-survival", "kernel_id": "26909187"}, {"ref": "teddylee777/machine-leanring-day2", "kernel_id": "26447417"}, {"ref": "div1996p/random-forest-titanic-disaster-0-78-beginner", "kernel_id": "26786350"}, {"ref": "prasaanth96/titanic-rf-tuning-score-0-77", "kernel_id": "26865011"}, {"ref": "annjoseph59/getting-started-with-titanic", "kernel_id": "26157893"}, {"ref": "athul3000/titanic-classification-submission", "kernel_id": "26561203"}, {"ref": "shivanewt1/titanic-eda-and-prediction", "kernel_id": "26738496"}, {"ref": "otugrul/titanic-survival-prediction-score-0-78468", "kernel_id": "26692164"}, {"ref": "uiandwe/titanic", "kernel_id": "26313142"}, {"ref": "dionysios1981/titanic-freq", "kernel_id": "26676369"}, {"ref": "johncoco/notebooke477e254b3", "kernel_id": "26295912"}, {"ref": "alencastro/titan", "kernel_id": "26402383"}, {"ref": "rachit3058/titanic-survival-prediction", "kernel_id": "26786699"}, {"ref": "aniket1993/titanic-survival-classification-top6", "kernel_id": "26704523"}, {"ref": "pkp3836/titanic-survival-prediction-feature-creation", "kernel_id": "26864113"}, {"ref": "asadullahgalib/thetitanic", "kernel_id": "26614176"}, {"ref": "nadezhda2019/mlp-example-telecom", "kernel_id": "26300837"}, {"ref": "bhavesh0124/simple-automl-for-beginners", "kernel_id": "26213059"}, {"ref": "bhavesh0124/super-catboost-0-78-beginner", "kernel_id": "26895785"}, {"ref": "bhavesh0124/0-78-eda-model-comp-easy", "kernel_id": "26682393"}, {"ref": "bhavesh0124/simple-xgboost-0-78-score-beginner", "kernel_id": "26619409"}, {"ref": "mftnakrsu/titanic-exploratory-data-analysis", "kernel_id": "26630046"}, {"ref": "afi1289/comprehensive-plotly", "kernel_id": "26630611"}, {"ref": "olfasaket/titaniccompetition", "kernel_id": "26795443"}, {"ref": "shagkala/intuitive-trick-to-find-important-features", "kernel_id": "26742438"}, {"ref": "miguelbast/titanic-cd", "kernel_id": "26621861"}, {"ref": "anmau1910/cd-andrea", "kernel_id": "26617686"}, {"ref": "vipin20/arima-sarimax-exponential-smoothing-using-optuna", "kernel_id": "26428347"}, {"ref": "harshabhushan/titanic-survival-randomforest", "kernel_id": "26017460"}, {"ref": "misterz3r0/cs-4650-project-3-titanic-eugene-mondkar", "kernel_id": "26490180"}, {"ref": "taranmarley/rabbitml-testing", "kernel_id": "26163502"}, {"ref": "letianyu/titanic-prediction-feature-engineering-catboost", "kernel_id": "26622281"}, {"ref": "tensorchoko/new-titanic-eda", "kernel_id": "26914048"}, {"ref": "mirnamuhammad/getting-started-with-titanic", "kernel_id": "26336997"}, {"ref": "linjoe1219/kaggle-titanic", "kernel_id": "26386120"}, {"ref": "hwangchanghyun/sweetviz-auto-visualization-library-for-you", "kernel_id": "26118251"}, {"ref": "hwangchanghyun/skorch-baseline-torch-sklearn", "kernel_id": "26055116"}, {"ref": "alaeddinefattouch/titanic-survival-prediction-top-5", "kernel_id": "26083595"}, {"ref": "zacharyluscher/model-explainability-with-shap-only-guide-u-need", "kernel_id": "26757071"}, {"ref": "zacharyluscher/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "26757194"}, {"ref": "mkim80/first-analysis-using-randomforestclassifier", "kernel_id": "26379512"}, {"ref": "vanguarde/study-series-uplift-modeling", "kernel_id": "26130086"}, {"ref": "davious/titanic-solution-baseline-model", "kernel_id": "26352940"}, {"ref": "emreuzel/titanic-datapreprocessing-feature-engineering", "kernel_id": "26742478"}, {"ref": "anamsell/titanic-features-engineering-explained", "kernel_id": "26796235"}, {"ref": "satyanarayanam/notebook4a8356e219", "kernel_id": "26815339"}, {"ref": "naoshermustakim/eda-of-titanic-dataset", "kernel_id": "26068440"}, {"ref": "bekbolsultankulov/titanic-survive-ml", "kernel_id": "26098004"}, {"ref": "imdevez/titanic-ml-with-only-1-algorithm", "kernel_id": "26338269"}, {"ref": "nelson96/clase-visualizacion-da-datos", "kernel_id": "26222741"}, {"ref": "nelson96/03-regresion-logistica-ipynb", "kernel_id": "26222858"}, {"ref": "kimchanyoung/titanic-easiest-automl", "kernel_id": "26713548"}, {"ref": "muhammedmcahitnas/titanic", "kernel_id": "26864526"}, {"ref": "nkitgupta/advance-data-preprocessing", "kernel_id": "26263296"}, {"ref": "nkitgupta/feature-engineering-and-feature-selection", "kernel_id": "26636451"}, {"ref": "bhavinmoriya/pycaret-introduction-classification-regression", "kernel_id": "26008344"}, {"ref": "theisub/titanic-submission-with-a-little-bit-of-everything", "kernel_id": "26486545"}, {"ref": "lordozvlad/let-s-speed-up-your-kernels-using-sklearnex", "kernel_id": "26428858"}, {"ref": "pyaesonewaiyan/xgboosting-titanic", "kernel_id": "26172050"}, {"ref": "davidreciomitter/the-titanic-has-a-leak", "kernel_id": "26187718"}, {"ref": "gagandhami/titanic", "kernel_id": "26729605"}, {"ref": "nobodysboredom/olomo-s-titanic-data-analysis", "kernel_id": "26307588"}, {"ref": "fatihcihantaskin/titanic", "kernel_id": "26791621"}, {"ref": "ashishkattel/titanic", "kernel_id": "26832575"}, {"ref": "kobeerose/titanic-hyperparameters-tuning", "kernel_id": "26273334"}, {"ref": "ayushrathi47/titanic-notebook", "kernel_id": "26128987"}, {"ref": "jeonghyunha/automl-with-titanic-dataset", "kernel_id": "26766894"}, {"ref": "cesarsalazar/cs-titanic-attempt", "kernel_id": "26618165"}, {"ref": "shafierahim/understanding-data-science-on-titanic-02", "kernel_id": "26876461"}, {"ref": "veyselyksl/titanic-veysel", "kernel_id": "26286286"}, {"ref": "syokouhioku/hioku-kaggle-getting-started-with-titanic", "kernel_id": "26466660"}, {"ref": "hanifkurniawan/titanic-machine-learning-from-disaster", "kernel_id": "26461063"}, {"ref": "gvantsaerkvania/titanic-predictions", "kernel_id": "26362945"}, {"ref": "xxpatli/titanic-solution-ranked-top-2", "kernel_id": "26498328"}, {"ref": "shimjongsoo/automl-practice-titanic", "kernel_id": "26766891"}, {"ref": "azizaafrin/notebook015efb84f8", "kernel_id": "26516176"}, {"ref": "pythonkumar/acc-80-data-viz-xgboosthyperparam", "kernel_id": "26651162"}, {"ref": "foocheechuan/titanic-eda-prediction", "kernel_id": "26485522"}, {"ref": "katiepress/titanic-prediction-in-r", "kernel_id": "26923757"}, {"ref": "daniillitvinov/tratra", "kernel_id": "26842059"}, {"ref": "rahulgujjar/titanic", "kernel_id": "26485281"}, {"ref": "adityadhar/titanic-predictions", "kernel_id": "26297963"}, {"ref": "kanishkpareek/notebook5119be1da5", "kernel_id": "26508875"}, {"ref": "kanishkpareek/titanic-neural-network-using-tensorflow", "kernel_id": "26520720"}, {"ref": "maxreis/let-desafio-3-python", "kernel_id": "26662654"}, {"ref": "ricaxavier/titanic-competition", "kernel_id": "26777483"}, {"ref": "rashmitakarak/titanic-dataset-competition", "kernel_id": "26122409"}, {"ref": "yusufbudak/titanic-model", "kernel_id": "26195088"}, {"ref": "prathamsinghce/titanic-prediction", "kernel_id": "26830976"}, {"ref": "dianapratiwi/titanic-prediction", "kernel_id": "26628280"}, {"ref": "bhattarainimesh/titanic-survival-prediction", "kernel_id": "26095875"}, {"ref": "nathanvaneberg/my-first-kaggle", "kernel_id": "26868784"}, {"ref": "blake101/titanic-a-beginner-s-approach", "kernel_id": "26409971"}, {"ref": "igorprikhodko/1-1-supervised-learning-classification-knn-titanic", "kernel_id": "26716014"}, {"ref": "egeissler/surviving-the-titanic-r-random-forest", "kernel_id": "26989708"}, {"ref": "egorderiugin/lab3ml", "kernel_id": "26420649"}, {"ref": "giseschmilchuk/titanic-survival-first-project", "kernel_id": "26804171"}, {"ref": "vidiqlogy/titanic-machine-learning-from-disaster-gen-pred", "kernel_id": "26283321"}, {"ref": "twavewwvww/titanic-prediction", "kernel_id": "26818495"}, {"ref": "k3ks1k/titanic", "kernel_id": "26965368"}, {"ref": "fabiobr99/fabio-titanic-survive-prediction", "kernel_id": "26260321"}, {"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "wesleysilvaalves/titanic", "kernel_id": "26338610"}, {"ref": "wesleysilvaalves/titanic-autogluon", "kernel_id": "26795969"}, {"ref": "imhungrynow/notebook9bf014d2c9", "kernel_id": "26348917"}, {"ref": "hengwdai/titanic-solution-with-basic-h2o", "kernel_id": "26570350"}, {"ref": "hengwdai/autox-titanic", "kernel_id": "26569792"}, {"ref": "rhythmcam/titanic-with-keras-tuner-autopreprocess", "kernel_id": "26621504"}, {"ref": "rhythmcam/find-out-sd-column-list-titanic", "kernel_id": "26681821"}, {"ref": "rhythmcam/titanic-catboost-autopreprocess-oof", "kernel_id": "26692873"}, {"ref": "rhythmcam/titanic-lightgbm-rcv", "kernel_id": "26716643"}, {"ref": "rhythmcam/pandas-basic-string-feature-engineering", "kernel_id": "26714367"}, {"ref": "rhythmcam/titanic-smoothing", "kernel_id": "26727357"}, {"ref": "rhythmcam/titanic-target-encoding", "kernel_id": "26726962"}, {"ref": "rhythmcam/titanic-feature-importance", "kernel_id": "26707994"}, {"ref": "rhythmcam/titanic-feature-engineering", "kernel_id": "26713140"}, {"ref": "rhythmcam/pandas-basic-get-std-and-modify-scale", "kernel_id": "26702934"}, {"ref": "rhythmcam/feature-engineering-basic-groupby-agg", "kernel_id": "26888528"}, {"ref": "rhythmcam/feature-engineering-importance", "kernel_id": "26886685"}, {"ref": "rhythmcam/titanic-skew-and-kurtosis", "kernel_id": "26899785"}, {"ref": "rhythmcam/titanic-lightautoml-prediction", "kernel_id": "26866582"}, {"ref": "rhythmcam/titanic-pipeline-prediction", "kernel_id": "26859133"}, {"ref": "rhythmcam/titanic-seed-ensemble-automl-h2o", "kernel_id": "26810894"}, {"ref": "rhythmcam/imputer-basic-simpleimputer-usage", "kernel_id": "26516053"}, {"ref": "rhythmcam/titanic-with-flaml-pipeline", "kernel_id": "26514682"}, {"ref": "rhythmcam/std-process", "kernel_id": "26498137"}, {"ref": "rhythmcam/function-std-process", "kernel_id": "26500654"}, {"ref": "rhythmcam/titanic-autogluon-label-encoding", "kernel_id": "26490407"}, {"ref": "rhythmcam/titanic-catboost-rcv-autopreprocess", "kernel_id": "26540360"}, {"ref": "jeanbaptisteotharan/titanic-premiere-fr", "kernel_id": "26587911"}, {"ref": "gurpreetchaggar/getting-started-with-titanic", "kernel_id": "26810429"}, {"ref": "blackgaurd/genetic-decision-tree-from-scratch", "kernel_id": "26180561"}, {"ref": "egemenuurdalg/data-preprocessing-and-weighted-ensembles", "kernel_id": "26686655"}, {"ref": "gustavohenrique007/machine-learning-titanic-no-r", "kernel_id": "26429108"}, {"ref": "michaelhessler735/michael-hessler-titanic", "kernel_id": "26483747"}, {"ref": "seanta1/notebookb335033538", "kernel_id": "26435739"}, {"ref": "mdtajriyaanchowdhury/titanic-code-final-version", "kernel_id": "26868763"}, {"ref": "sourabh2001/titanic-survival-with-knn-ipynb", "kernel_id": "26074783"}, {"ref": "andrianinaraharijao/midtermproject", "kernel_id": "26243556"}, {"ref": "zdenkak/titanic-my-first-work", "kernel_id": "26969912"}, {"ref": "hristinaaleksandrova/titanic-data-modeling", "kernel_id": "26606939"}, {"ref": "ahmedgamal12/titanic-classifier", "kernel_id": "26372963"}, {"ref": "agustinbiancardi/notebook1918ab55e5", "kernel_id": "26188617"}, {"ref": "shannonprice/titanic-survival-ml", "kernel_id": "26796962"}, {"ref": "mohinurabdurahimova/titanic-o-zbek-tilidagi-izohlar-bilan", "kernel_id": "26434816"}, {"ref": "mansi15t/titanic", "kernel_id": "26422027"}, {"ref": "mansi15t/titanic-dub", "kernel_id": "26391728"}, {"ref": "izzettopcuoglu/exploratory-data-analysis", "kernel_id": "26840357"}, {"ref": "xxxxxxxty/titanic-analysis", "kernel_id": "26741753"}, {"ref": "charliejmtorres/the-titanic", "kernel_id": "26104465"}, {"ref": "allardbenjamin/8-may-2022-titanic-prediction", "kernel_id": "26888731"}, {"ref": "mahmoud17/titanic-78-accuracy", "kernel_id": "26504515"}, {"ref": "kuntalmukherjee99/titanic-survival-by-kuntal-mukherjee", "kernel_id": "26901556"}, {"ref": "moulibhaskar/titanic-ml", "kernel_id": "26880292"}, {"ref": "sulaimanbehzad/prediction-models-on-titanic-dataset", "kernel_id": "26112631"}, {"ref": "mahtaba/titanic-simple-rf-model", "kernel_id": "26331256"}, {"ref": "mahtaba/titanic-using-name-only-in-python-0-79904", "kernel_id": "26477061"}, {"ref": "uditsharma72/titanic-machine-learning-from-disaster", "kernel_id": "26735071"}, {"ref": "puurun/titanicfinal", "kernel_id": "26357856"}, {"ref": "olehkondratenko/simple-eda-log-regression-random-forest", "kernel_id": "26977214"}, {"ref": "gregoryoliveira/titanic-ml-from-disaster", "kernel_id": "26184844"}, {"ref": "deepanshuverma0154/titanic-machine-learning-from-disaster", "kernel_id": "26070229"}, {"ref": "tarasvasylyshyn/notebook-mutual-information-titanic", "kernel_id": "26126463"}, {"ref": "tarasvasylyshyn/notebook-feature-engineering-titanic", "kernel_id": "26147295"}, {"ref": "denisadrian/notebookfb66b13dd2", "kernel_id": "26622737"}, {"ref": "softwarepark/titanic-model", "kernel_id": "26317042"}, {"ref": "moongni/moongni", "kernel_id": "26154362"}, {"ref": "arnavr10880/tensorflow-titanic-with-keras", "kernel_id": "26456702"}, {"ref": "yuanchiehying/titanictutorial", "kernel_id": "26217754"}, {"ref": "atishekkumar/unit-4-pyspark", "kernel_id": "26079734"}, {"ref": "yasithudawatte/titanic-dataset-shape-and-limitations", "kernel_id": "26268713"}, {"ref": "sushant2001/titanic", "kernel_id": "26743329"}, {"ref": "sasumwen/titanic", "kernel_id": "26883203"}, {"ref": "isaacangyu/feature-engineering", "kernel_id": "26163242"}, {"ref": "omizzy24/titantic-ml", "kernel_id": "26950738"}, {"ref": "amwill/titanic-prediction-for-all-beginner-5-models", "kernel_id": "26634383"}, {"ref": "alpayabbaszade/titanic-multilayer-perceptron-top-4", "kernel_id": "26290352"}, {"ref": "augustobouzas/titanic-xgboost", "kernel_id": "26985472"}, {"ref": "drrajkulkarni/titanic", "kernel_id": "26438334"}, {"ref": "jihwano/notebooke01199ff0f", "kernel_id": "26498665"}, {"ref": "muskanbhasin/titanic-survival-prediction", "kernel_id": "26804530"}, {"ref": "willianhaeberlin/stacking-rf-extratrees-adaboost-and-gb", "kernel_id": "26221060"}, {"ref": "thaynanff/titanic-machine-learning-from-disaster-v1", "kernel_id": "26248118"}, {"ref": "aleespinosa/titanic-competition-attempt", "kernel_id": "26109972"}, {"ref": "subanshrestha/titanic-classifier", "kernel_id": "26518171"}, {"ref": "sameerudgirkar/titanic-machine-learning-from-disaster", "kernel_id": "26475845"}, {"ref": "chisimdirianyaogu/titanic-survival-prediction", "kernel_id": "26994209"}, {"ref": "uppulurimadhuri/solving-using-neural-network", "kernel_id": "26948347"}, {"ref": "uppulurimadhuri/my-first-machine-learning-model-on-kaggle", "kernel_id": "26690071"}, {"ref": "olcayhankorkut/titanic", "kernel_id": "26060714"}, {"ref": "guofenwei/microsoft-lightgbm-with-parameter-tuning-0-823", "kernel_id": "26312138"}, {"ref": "saurabhbairagi/using-random-forest-score-0-78229", "kernel_id": "26263907"}, {"ref": "asmaabdolahpoor/titanic-survival-prediction", "kernel_id": "26388065"}, {"ref": "philippinekling/titanic-philippine", "kernel_id": "26944939"}, {"ref": "naomyduartegomes/titanic-catboost", "kernel_id": "26108538"}, {"ref": "harithadevaraj/who-will-survive-titanic-dataset", "kernel_id": "26016415"}, {"ref": "lukabarbakadze/titanic-2", "kernel_id": "26674315"}, {"ref": "lukabarbakadze/titanic-4", "kernel_id": "26998438"}, {"ref": "lukabarbakadze/titanic", "kernel_id": "26331576"}, {"ref": "movaliyajaykumar/19bce134-titanic", "kernel_id": "26083375"}, {"ref": "threadeater/cs-100-data-science-355ec2", "kernel_id": "26320868"}, {"ref": "mohammedbberir/diploma-orientation-de", "kernel_id": "26500575"}, {"ref": "kuchhbhi/titanic-competition", "kernel_id": "26078600"}, {"ref": "mohamedsalama1429/titanic-dataset-visualization", "kernel_id": "26593227"}, {"ref": "swyang15/practice-code-20011863", "kernel_id": "26783359"}, {"ref": "jairjiramuoz/titanicsurv-model-comparison", "kernel_id": "26752185"}, {"ref": "jairjiramuoz/titanicsurvcom", "kernel_id": "26438119"}, {"ref": "ehekatlact/pytorch-wip", "kernel_id": "26861747"}, {"ref": "nagarjunnarayan/competition-titanic-nr", "kernel_id": "26076605"}, {"ref": "ancouse/titanic-lec-ml", "kernel_id": "26942074"}, {"ref": "mustafakeser4/titanic-with-tf-keras-cv-rf-xgb-etc-blend", "kernel_id": "26088423"}, {"ref": "harshghadiya/sklearn-logistic-regression-with-eda-titan", "kernel_id": "26554279"}, {"ref": "harshghadiya/sklearn-svm-with-eda-titan-dataset", "kernel_id": "26599800"}, {"ref": "aleksandrmorozov123/machine-learning-excercises", "kernel_id": "26155773"}, {"ref": "youssefspasha/simple-eda-ml-model-logistic-regression", "kernel_id": "26617541"}, {"ref": "kumarharsh24/titanic-prediction-using-r", "kernel_id": "26252315"}, {"ref": "abdeslamkaouas/titanic", "kernel_id": "26268656"}, {"ref": "masudrahman19/titanic-survival-prediction", "kernel_id": "26544714"}, {"ref": "tanvirarifsiddiqui/getting-started-with-titanic", "kernel_id": "26492424"}, {"ref": "alcidescoutinho/modelos-boosting-an-lise-em-portugu-s", "kernel_id": "26184185"}, {"ref": "rhilavine/titanic-attempt-simple-nn", "kernel_id": "26398923"}, {"ref": "rhilavine/titanic-attempt-svc", "kernel_id": "26085038"}, {"ref": "rhilavine/titanic-attempt-full-workflow-gbc", "kernel_id": "26063575"}, {"ref": "pavanwagh/titanicusingsimplelinearregression", "kernel_id": "26757084"}, {"ref": "andeysatyavalli/machine-learning-excercises-a47d81", "kernel_id": "26494254"}, {"ref": "anaqildeli/titanic-challenge", "kernel_id": "26242761"}, {"ref": "giorgichkhitunidze/that-damn-iceberg", "kernel_id": "26326058"}, {"ref": "caitlinmalloch/titanic-code-kaggle-competition-04-2022", "kernel_id": "26277636"}, {"ref": "viveknariya/titanic-logistic-regression", "kernel_id": "26575353"}, {"ref": "gregrry/titanic", "kernel_id": "26056457"}, {"ref": "ajr094/titanic-tutorial-1st-notebook", "kernel_id": "26418118"}, {"ref": "noahgilman/getting-started-with-titanic", "kernel_id": "26802105"}, {"ref": "temoadeishvili/notebook30b745a734", "kernel_id": "26422617"}, {"ref": "anakevlishvili/notebookde005e7942", "kernel_id": "26306147"}, {"ref": "bandhansingh/titanic-problem", "kernel_id": "26398805"}, {"ref": "ruslanbredun/how-to-get-top-7-in-titanic-competitions", "kernel_id": "26787216"}, {"ref": "ruslanbredun/what-are-classification-metrics-and-how-it-works", "kernel_id": "26821570"}, {"ref": "ruslanbredun/first-titanic", "kernel_id": "26239314"}, {"ref": "margege/titanic-mg", "kernel_id": "26326489"}, {"ref": "viktorthrane/viktors-titanic-assignment", "kernel_id": "26789264"}, {"ref": "dapin1490/titanic-attempt-2", "kernel_id": "26311543"}, {"ref": "ninokvinikadze/titanic-survival-forset", "kernel_id": "26337808"}, {"ref": "sabaamiridze/titanic", "kernel_id": "26332231"}, {"ref": "nikanatsvlishvili/titanic-data-forset", "kernel_id": "26294687"}, {"ref": "lorisdeluca/titanic-eda", "kernel_id": "26886406"}, {"ref": "ereklebagratoni/titanic-1", "kernel_id": "26357093"}, {"ref": "giorgiguraspashvili/giorgi-guraspashvili-titanic", "kernel_id": "26357685"}, {"ref": "giorgisirbiladze/giorgi-sirbiladze-homework", "kernel_id": "26331734"}, {"ref": "kagglecompe6/tamadher-project-1", "kernel_id": "26188929"}, {"ref": "anagogia/notebook74c7d27446", "kernel_id": "26603560"}, {"ref": "anagogia/notebook1d2716f891", "kernel_id": "26908577"}, {"ref": "anagogia/notebook1c234edadc", "kernel_id": "26937099"}, {"ref": "illiaparfeniuk/ml-techniques-for-titanic", "kernel_id": "26501261"}, {"ref": "taqseorangpun/correlation-categorical-continuous-vs-cardinality", "kernel_id": "26118054"}, {"ref": "mariamgiorgadze23/notebookef0b5e5706", "kernel_id": "26662836"}, {"ref": "ratiporchkhidze/begin-titanic-score-0-76315", "kernel_id": "26319414"}, {"ref": "selahattinsanli/titanic-80-accuracy", "kernel_id": "26566409"}, {"ref": "mariamshengelia/titanic-test", "kernel_id": "26523201"}, {"ref": "matheusantunes27/titanic-submission-attempt", "kernel_id": "26556502"}, {"ref": "guillaumeminne/notebook19efba0093", "kernel_id": "26042740"}, {"ref": "aarong4/first-draft", "kernel_id": "26243387"}, {"ref": "balmeetkaur/titanic-prediction-using-logistic-regression", "kernel_id": "26948861"}, {"ref": "gregberg/titanic-ml", "kernel_id": "26436557"}, {"ref": "tusharnautiyalweb/revision-categorical-variables-and-transformation", "kernel_id": "26319778"}, {"ref": "tusharnautiyalweb/feature-engineering-revision", "kernel_id": "26310886"}, {"ref": "samanyus/samanyutitanicchallenge", "kernel_id": "26226786"}, {"ref": "brianndegeotieno/getting-started-with-titanic-dataset-2022", "kernel_id": "26280150"}, {"ref": "maxhoac/getting-started-with-titanic", "kernel_id": "26200008"}, {"ref": "eggort/titanic", "kernel_id": "26318156"}, {"ref": "jhelumb/titanicexercise", "kernel_id": "26217420"}, {"ref": "yoavhagashi/features-importance-hw", "kernel_id": "26759882"}, {"ref": "praveenshivananda/titanic-random-forest", "kernel_id": "26204510"}, {"ref": "lucaspimeentel/titanic-ml-from-disaster-top-5-solution", "kernel_id": "26399923"}, {"ref": "lucaspimeentel/titanic-dataset-exploratory-data-analysis", "kernel_id": "26375735"}, {"ref": "mvpaaa/competitiontitanic", "kernel_id": "26278302"}, {"ref": "gangyili2322/titanic-dnn-pytorch", "kernel_id": "26702601"}, {"ref": "dursunipek/titanic-eda", "kernel_id": "26937240"}, {"ref": "jonathankao1/getting-started-with-titanic", "kernel_id": "26490281"}, {"ref": "wonjinkim1010/auto-ml", "kernel_id": "26780024"}, {"ref": "chethannagaraja/hw5-titanic", "kernel_id": "26018871"}, {"ref": "benaldrich/project3titanic", "kernel_id": "26492898"}, {"ref": "prashantrajkaggle/titanic-survival-prediction", "kernel_id": "26948060"}, {"ref": "evangower/ml-the-titanic-with-decision-tree", "kernel_id": "26289889"}, {"ref": "stephenloftusmercer/titanicfirst", "kernel_id": "26029547"}, {"ref": "crasmo/titenic", "kernel_id": "26184737"}, {"ref": "sunseongso/titanic1", "kernel_id": "26153760"}, {"ref": "cheng1122/notebook7983383bdc", "kernel_id": "26045182"}, {"ref": "afnan98abdullah/afnan-titanic", "kernel_id": "26090188"}, {"ref": "abhayparashar31/titanic-complete-analysis-prediction", "kernel_id": "26456146"}, {"ref": "moruli/startedfromscratchtitan", "kernel_id": "26909970"}, {"ref": "mk98kr/eda-and-prediction-titanic", "kernel_id": "26317633"}, {"ref": "alexg99/titanic-eda-100530129", "kernel_id": "26084307"}, {"ref": "huayanxia/notebook9331229162", "kernel_id": "26280361"}, {"ref": "harellevin/statistical-algorithm-no-ml", "kernel_id": "26055478"}, {"ref": "advaitdev/notebook4f662a20ad", "kernel_id": "26034539"}, {"ref": "yoshimanaminorisa/titanic-prediction-by-ensemble-model", "kernel_id": "26120726"}, {"ref": "anuselvamathi/titanic-hyperparameter-tuning-gridsearchcv", "kernel_id": "26506938"}, {"ref": "andrewhagan/titanic-decisiontreeclassifier-gridsearchcv", "kernel_id": "26808979"}, {"ref": "andrewhagan/titanic-support-vector-machine-gridsearchcv", "kernel_id": "26894570"}, {"ref": "aishasana/titanic-classification", "kernel_id": "26227311"}, {"ref": "rasavalentim/notebook-first-titanic", "kernel_id": "26559693"}, {"ref": "saiko15/getting-started-with-titanic", "kernel_id": "26021835"}, {"ref": "fumiakinishiura/titanic-tutorial", "kernel_id": "26654944"}, {"ref": "rajnikantroy/titanic-dataset-my-first-model", "kernel_id": "26446420"}, {"ref": "princewang1008/learn-titanic", "kernel_id": "26624417"}, {"ref": "gizemuar/titanic-eda", "kernel_id": "26076948"}, {"ref": "amjadaltamimi/titanic-mm", "kernel_id": "26982907"}, {"ref": "wamgisaac/titanic-data-science-solutions", "kernel_id": "26198469"}, {"ref": "poojagupta1410/titanic-predictor", "kernel_id": "26361907"}, {"ref": "leowong7/cs100-titanic-data-science", "kernel_id": "26255357"}, {"ref": "yannicksommer1/titanic-dataset-2nd-attempt", "kernel_id": "26177274"}, {"ref": "vishalsharma235/titanic-data-science-solutions", "kernel_id": "26135722"}, {"ref": "roijac2b/titanic-competition", "kernel_id": "26148575"}, {"ref": "tianxindong/notebookdff8a4db55", "kernel_id": "26280213"}, {"ref": "psarathic/ps-titanic", "kernel_id": "26916991"}, {"ref": "kseporque/titanic-predictions-with-ensemble-models", "kernel_id": "26615770"}, {"ref": "jabeva99/titanic-beta", "kernel_id": "26030756"}, {"ref": "gabriellandhlovu/titanic-project", "kernel_id": "26722998"}, {"ref": "shilongzhuang/attack-on-titanic-solution-no-data-leakage", "kernel_id": "26526813"}, {"ref": "murtazanikzad/titanic-survival-challenge", "kernel_id": "26112019"}, {"ref": "yashnegi01/catboosttitanic", "kernel_id": "26606659"}, {"ref": "cdelgado2/getting-started-with-titanic-2nd-submission", "kernel_id": "26984457"}, {"ref": "duannnn/titanic-advanced-eda-random-forest-tuning-ref", "kernel_id": "26447605"}, {"ref": "duannnn/titanic", "kernel_id": "26418156"}, {"ref": "hwangsujung4/first-tackle-the-titanic-dataset", "kernel_id": "26093536"}, {"ref": "kimyoungkwan/titanic-hw4-2018250006", "kernel_id": "26094149"}, {"ref": "anjy0821/2018250028-titanic-predict", "kernel_id": "26126755"}, {"ref": "wlstjq447/titanic-data", "kernel_id": "26097581"}, {"ref": "wonkihwang/4-titanic", "kernel_id": "26119368"}, {"ref": "ranavijaythakur/850058312-titanic", "kernel_id": "26244452"}, {"ref": "ranavijaythakur/850058312-titanicdataset", "kernel_id": "26244487"}, {"ref": "mostafagamal97/last-titanic-trail", "kernel_id": "26135736"}, {"ref": "eliudparada/getting-started-with-titanic", "kernel_id": "26117738"}, {"ref": "yuqingwang123/cs-100-data-science", "kernel_id": "26192359"}, {"ref": "ccheee/titan-ml", "kernel_id": "26121951"}, {"ref": "eunjini/titanic-survival-predictions", "kernel_id": "26132464"}, {"ref": "shimjh/titanic-assignment", "kernel_id": "26125692"}, {"ref": "hailyn/titanic4th", "kernel_id": "26125734"}, {"ref": "jjyjyjy/4-ohjunyeol", "kernel_id": "26146230"}, {"ref": "psy8937/titanic-survival", "kernel_id": "26155216"}, {"ref": "psy8937/fork-of-titanic-survival", "kernel_id": "26172142"}, {"ref": "qinglinyang123/cs-100-data-science", "kernel_id": "26139825"}, {"ref": "xinxiangchen/cs-100-data-science", "kernel_id": "26139838"}, {"ref": "xinxiangchen/cs-100-data-science-9e2396", "kernel_id": "26301068"}, {"ref": "haojunliang/cs100-titanic-data-science", "kernel_id": "26190408"}, {"ref": "nightcao/caoqing-titanic", "kernel_id": "26286845"}, {"ref": "kodongyeop/titanic-machine-learning", "kernel_id": "26146939"}, {"ref": "hamsangjin/2018250056-4", "kernel_id": "26148445"}, {"ref": "mark201345/titanic-1-0", "kernel_id": "26457101"}, {"ref": "hblee97/notebookda0051a467", "kernel_id": "26163943"}, {"ref": "hblee97/titanic-survivor-2020700067-hblee", "kernel_id": "26176329"}, {"ref": "seungwon1106/swswsw", "kernel_id": "26165061"}, {"ref": "hknuleejongseok/hknu-2018250042", "kernel_id": "26164023"}, {"ref": "zihangxiang1/cs-100-data-science-f10a40", "kernel_id": "26196685"}, {"ref": "zihangxiang1/cs-100-data-science", "kernel_id": "26196196"}, {"ref": "kimkyeonghun/titanic-kkh1", "kernel_id": "26178420"}, {"ref": "chenggoo/titanic-prediction", "kernel_id": "26250117"}, {"ref": "ramazanaydnl/titanic-ml", "kernel_id": "26578874"}, {"ref": "longfeishe/cs-100-data-science", "kernel_id": "26259368"}, {"ref": "sharensahyoun/getting-started-with-titanic", "kernel_id": "26196985"}, {"ref": "nnnvnnn/titanic-with-5-models", "kernel_id": "26355074"}, {"ref": "kagglerhari/titanic-2nd-attempt-score", "kernel_id": "26842481"}, {"ref": "arissu/prediction", "kernel_id": "26220151"}, {"ref": "yeonahcho/notebook25cf9e4a86", "kernel_id": "26470378"}, {"ref": "qdjazq/titanic-survive-ml735e3b", "kernel_id": "26300000"}, {"ref": "wsqdssl/titanic", "kernel_id": "26840573"}, {"ref": "sleepyawk/titanic-notebook", "kernel_id": "26272157"}, {"ref": "nitikawadhwa/nitika-850058465-titanic", "kernel_id": "26240245"}, {"ref": "qwang4/titanic", "kernel_id": "26242622"}, {"ref": "dexxermedina/notebookc179e4bb68", "kernel_id": "26243326"}, {"ref": "yzhaoc/cs-100-data-science", "kernel_id": "26248506"}, {"ref": "selfic/cs100-titanic-zpyver", "kernel_id": "26250921"}, {"ref": "vapostolidis/titanic-passenger-survival-prediction", "kernel_id": "26416684"}, {"ref": "huangziyin1/cs-100-data-science", "kernel_id": "26264672"}, {"ref": "debajyotidas1/titanic-advanced-eda-random-forest-tuning", "kernel_id": "26265495"}, {"ref": "georgenas/titanicnotebook", "kernel_id": "26274824"}, {"ref": "werus23/titanic-ml-xgboost", "kernel_id": "26949836"}, {"ref": "ayoubcharrat/titanic-hyperparameterstuning", "kernel_id": "26273411"}, {"ref": "chuanju/cs-100-data-science", "kernel_id": "26313146"}, {"ref": "qinlang9999/cs-100-data-science", "kernel_id": "26299834"}, {"ref": "yijiehuang2003/cs-100-data-science", "kernel_id": "26297397"}, {"ref": "cyndisabido/titanic-madness-first-try", "kernel_id": "26313235"}, {"ref": "ruoxuanxzhou/cs-100-data-science-bbe725", "kernel_id": "26299716"}, {"ref": "yideng2/cs-100-data-science", "kernel_id": "26304120"}, {"ref": "trenkicodes/notebook77fd15bab0", "kernel_id": "26307904"}, {"ref": "moyuheng/cs100-titanic-data-science", "kernel_id": "26313523"}, {"ref": "rongkaizhuang/cs-100-data-science", "kernel_id": "26321730"}, {"ref": "clarence11/fork-of-cs-100-data-science", "kernel_id": "26328728"}, {"ref": "aggeloval/titanic-notebook-disaster", "kernel_id": "26361237"}, {"ref": "shaghik/project-3-titanic", "kernel_id": "26378864"}, {"ref": "disha64/titanic-dub-1abd0c", "kernel_id": "26500054"}, {"ref": "longnguyenkf/getting-started-with-titanic", "kernel_id": "26376618"}, {"ref": "bagzzbunny/ml-for-titanic", "kernel_id": "26974154"}, {"ref": "huzailhassan/fork-of-notebook596566c348", "kernel_id": "26394989"}, {"ref": "evandrodresch/prediction-of-survival-titanic", "kernel_id": "26393746"}, {"ref": "johnpierre1/johns-titanic-attempt", "kernel_id": "26404680"}, {"ref": "royasalei/getting-started-with-titanic", "kernel_id": "26410959"}, {"ref": "kuldeeptyagi/notebook4a554e1985", "kernel_id": "26418682"}, {"ref": "pedroalmeida12/getting-started-with-titanic-dataset", "kernel_id": "26423038"}, {"ref": "mohammedbari/mohammedbarip3submission", "kernel_id": "26490322"}, {"ref": "renwellqueyquep/notebook3b135a0265", "kernel_id": "26434710"}, {"ref": "curtisktaylor/taylor-curtis-cs-4650-project-3", "kernel_id": "26439161"}, {"ref": "vaishnavitn/titanic-with-sklearn", "kernel_id": "26941970"}, {"ref": "beeseah/notebook18420f5c9f", "kernel_id": "26784681"}, {"ref": "saulbarajascpp/notebookfe8a2e18be", "kernel_id": "26459780"}, {"ref": "whydoihavetodothis15/notebooke63dda2955", "kernel_id": "26461585"}, {"ref": "gfokcpp/getting-started-with-titanic", "kernel_id": "26462261"}, {"ref": "preniamijanian/project-3-titanic", "kernel_id": "26489487"}, {"ref": "jessicamargala/getting-started-with-titanic", "kernel_id": "26463590"}, {"ref": "sebastianchinen/titanic-machine-learning", "kernel_id": "26465267"}, {"ref": "edwinorodriguez/edwin-s-titanic", "kernel_id": "26472842"}, {"ref": "sisianteymoorian/getting-started-with-titanic", "kernel_id": "26487126"}, {"ref": "victortafuri/cdd-titanic", "kernel_id": "26595660"}, {"ref": "eduhusuarez/eduardo-suarez-titanic", "kernel_id": "26487260"}, {"ref": "vixxadesso/titanic", "kernel_id": "26667769"}, {"ref": "allisonchen506/notebook8ddb0d5d5e", "kernel_id": "26487797"}, {"ref": "nhattran13/titanic-project", "kernel_id": "26488369"}, {"ref": "mitchellmaliglig/getting-started-with-titanic", "kernel_id": "26488619"}, {"ref": "keanekaiser/kkaisertitanicnotebook", "kernel_id": "26489125"}, {"ref": "danielviei/titanic-solution", "kernel_id": "26503893"}, {"ref": "hukurousagi/notebooka8f30baffb", "kernel_id": "26510574"}, {"ref": "charleskypros/notebookc9303b3115", "kernel_id": "26542276"}, {"ref": "efransnchez/icd-titanic-problem", "kernel_id": "26621826"}, {"ref": "franyelithrodriguez/notebookf72392d132", "kernel_id": "26564587"}, {"ref": "deybitgutierrez/titanic-submit-code-deybit-franyelith", "kernel_id": "26652094"}, {"ref": "hortypopcorn/titanic-code", "kernel_id": "26605199"}, {"ref": "maryamcalles/getting-started-with-titanic", "kernel_id": "26592300"}, {"ref": "tyndale/my-first-kaggle-titanic-tutorial-by-alexis-cook", "kernel_id": "26901139"}, {"ref": "valentinacontreras28/project-titanic", "kernel_id": "26614357"}, {"ref": "gorkaemaldi/fork-of-notebook54ad52d0ac", "kernel_id": "26750614"}, {"ref": "heyzelmoncada/titanic-survival", "kernel_id": "26617949"}, {"ref": "samueldiaz98/icd-modelo-predictivo-titanic-survival", "kernel_id": "26641621"}, {"ref": "kavishareddy/elen4009-project", "kernel_id": "26840100"}, {"ref": "mgiannis/my-titanic-project", "kernel_id": "26648757"}, {"ref": "yejin2299/titanictutorial", "kernel_id": "26653757"}, {"ref": "smorika/beginner-with-score-0-77990-improves-step-by-step", "kernel_id": "26761338"}, {"ref": "laracesco/titanic-survival-predictions-random-forest-model", "kernel_id": "26669117"}, {"ref": "mabegifted/titanic-machine-learning-from-disaster", "kernel_id": "26694108"}, {"ref": "mansibhardwaj71/1st-submission-titanic", "kernel_id": "26794088"}, {"ref": "marianomorenoj/titanic-prediction-trial-following-posted-tutorial", "kernel_id": "26853380"}, {"ref": "programmerrdai/titanic-with-sklearn", "kernel_id": "26928142"}, {"ref": "amirmotefaker/titanic-machine-learning-from-disaster", "kernel_id": "26974191"}, {"ref": "yoontaeklee/titanic-survival-rate-random-forest", "kernel_id": "26969436"}, {"ref": "alexmyn/machine-learning-from-disaster", "kernel_id": "26906227"}, {"ref": "yousefessam37/titanic-problem", "kernel_id": "26914801"}, {"ref": "jhoward/how-random-forests-really-work", "kernel_id": "27179917"}, {"ref": "jhoward/why-you-should-use-a-framework", "kernel_id": "27052231"}, {"ref": "marbel/titanic-xgboost", "kernel_id": "27045747"}, {"ref": "souravmahajan/what-others-won-t-tell-top-9-percentile", "kernel_id": "27320450"}, {"ref": "kientran/solvingtitanic", "kernel_id": "27123149"}, {"ref": "kientran/solvingtitanic3", "kernel_id": "27520354"}, {"ref": "kientran/app-clc-solvingtitanic4", "kernel_id": "27715485"}, {"ref": "kientran/app-clc-solvingtitanic5", "kernel_id": "27959643"}, {"ref": "sujataroy/titanic-eda-using-pandas-profiling", "kernel_id": "27823874"}, {"ref": "raj2017/titanic-death-eda-neil", "kernel_id": "27463057"}, {"ref": "abhishekcps/titan1abc-80f5d5", "kernel_id": "27146397"}, {"ref": "shivamanhar/pivot-table-using-pandas", "kernel_id": "27614854"}, {"ref": "fahimgul/titanicsolution", "kernel_id": "27656320"}, {"ref": "soheiltehranipour/titanic-kaggle-competition-in-persian", "kernel_id": "27586329"}, {"ref": "leodaniel/hypothesis-test-clear-explained", "kernel_id": "27222850"}, {"ref": "dlarionov/sirius-titanic-survival-prediction", "kernel_id": "27621404"}, {"ref": "aroramanish/titanic-using-tidymodels", "kernel_id": "27777610"}, {"ref": "jayahn0104/kor-for", "kernel_id": "27691389"}, {"ref": "fourteenflames/titanic", "kernel_id": "27275254"}, {"ref": "naveejasajeevan/titanic", "kernel_id": "27598441"}, {"ref": "kpkent/titanic-submission", "kernel_id": "27202574"}, {"ref": "tohgoroh/titanic-2022", "kernel_id": "27288515"}, {"ref": "gudipudimourya/titanicpreds", "kernel_id": "27030945"}, {"ref": "saxenaarpit/titanic-survivor-classification", "kernel_id": "27448928"}, {"ref": "srhyeu/explainable-boosting-machine-in-titanic", "kernel_id": "27916134"}, {"ref": "vishnuvardhan97/titanic-disaster-survival-prediction-rf", "kernel_id": "27372206"}, {"ref": "lbsbmsu/r-gpux2-titanic", "kernel_id": "27899437"}, {"ref": "jrreda/titanic-discussion-question", "kernel_id": "27385169"}, {"ref": "bscout2011/feature-engineering-and-linear-classifcation", "kernel_id": "27912159"}, {"ref": "rameshrallapalli/titanic-machine-learning-from-disaster", "kernel_id": "27489016"}, {"ref": "dannymathew/1-classification-titanic", "kernel_id": "27752847"}, {"ref": "shalaby97/titanic-eda-and-ml", "kernel_id": "27310803"}, {"ref": "sgiuri/ml-pd-titanic", "kernel_id": "27032046"}, {"ref": "adepvenugopal/anomaly-detection-using-different-methods", "kernel_id": "27997875"}, {"ref": "yaheaal/zinc-titanic", "kernel_id": "27927757"}, {"ref": "roccomeli/titanic", "kernel_id": "27061683"}, {"ref": "vlaharika/survival-prediction-w-various-ml-models", "kernel_id": "27362587"}, {"ref": "titassaha/beginner-ml-random-forest-data-cleaning-visuals", "kernel_id": "27078382"}, {"ref": "iampunitkmryh/beginner-titanic-survival-eda-prediction", "kernel_id": "27301030"}, {"ref": "mpwolke/exercise-arithmetic-and-variables", "kernel_id": "27462978"}, {"ref": "abhikuks/step-by-step-analysis-for-absolute-beginners", "kernel_id": "27527066"}, {"ref": "abhikuks/function-transformer-in-depth-understanding", "kernel_id": "27857230"}, {"ref": "abhikuks/machine-learning-pipeline-indepth-understanding", "kernel_id": "27758415"}, {"ref": "cid007/titanic-survival-prediction", "kernel_id": "27262904"}, {"ref": "jundthird/kor-introduction-to-ensembling-stacking", "kernel_id": "27182007"}, {"ref": "jundthird/kor-titanic-top-4-with-ensemble-modeling", "kernel_id": "27179444"}, {"ref": "jundthird/kor-eda-to-prediction", "kernel_id": "27081927"}, {"ref": "dilipjay/titanic-survivor-prediction", "kernel_id": "27784590"}, {"ref": "amit1235813/titanic-logistic-regression", "kernel_id": "27681513"}, {"ref": "parhamzm/titanic-dataanalysis-regression", "kernel_id": "27643961"}, {"ref": "vedpatwardhan/titanic-using-ivy", "kernel_id": "27894940"}, {"ref": "niramay/titanic-niramay", "kernel_id": "27328247"}, {"ref": "paulojunqueira/hands-on-pyspark-introduction-101", "kernel_id": "27189944"}, {"ref": "manishlapasi/titanic-predictions", "kernel_id": "27878924"}, {"ref": "joyongjin/prediction-titanic-python", "kernel_id": "27392661"}, {"ref": "mittii/titanic-ml-with", "kernel_id": "27375909"}, {"ref": "venkateshvishwanath/titanic-xgboost-woe-and-missforest-imputation", "kernel_id": "27195452"}, {"ref": "jamiedonaldmccann/titanic-icg-dsc-randomforest", "kernel_id": "27970747"}, {"ref": "rishyparasar/notebook168c00cf9f", "kernel_id": "27889343"}, {"ref": "salman20h/1st-titanic-and-also-kaggle-attempt", "kernel_id": "27274982"}, {"ref": "ahmettalhayt/nb1-titanicbaseline", "kernel_id": "27470206"}, {"ref": "younisbashir/titanic-survival-prediction-using-machine-learning", "kernel_id": "27043545"}, {"ref": "osamahameed/titanic", "kernel_id": "27930498"}, {"ref": "iannjuguna/notebookfc023c6d85", "kernel_id": "27783467"}, {"ref": "emreuzel/rf-0-79186-score", "kernel_id": "27903908"}, {"ref": "kimurayut/titanic", "kernel_id": "27374295"}, {"ref": "aniarya/titanic-with-sklearn", "kernel_id": "27141864"}, {"ref": "aniarya/titanic-beginner-low-effort", "kernel_id": "27110571"}, {"ref": "maksimbotsev/pytorchsimpleclassificator", "kernel_id": "27853007"}, {"ref": "maksimbotsev/simplesvc", "kernel_id": "27739130"}, {"ref": "kashishrastogi/different-form-of-pie-chart-in-plotly", "kernel_id": "27434652"}, {"ref": "ykwood/notebook3649755a88", "kernel_id": "27979380"}, {"ref": "mustafaatamer/matamer-titanic-eda", "kernel_id": "27604060"}, {"ref": "mananmathur/titanic-prediction", "kernel_id": "27055015"}, {"ref": "abhijeetsingh2698/titanic-servival-prediction-using-different-algo", "kernel_id": "27303069"}, {"ref": "zeebanavas/titanic-classification", "kernel_id": "27532672"}, {"ref": "devagirirohan/titanic", "kernel_id": "27639193"}, {"ref": "shrirajnair/titanic-disaster-predicton", "kernel_id": "27921136"}, {"ref": "evakmli/top-4-titanic-machine-learning-from-disaster", "kernel_id": "27963438"}, {"ref": "hemasowjanyamamidi/titanic-machine-learning-from-disaster", "kernel_id": "27080253"}, {"ref": "michakurcewicz/titanic-machine-learning-from-disaster", "kernel_id": "27043226"}, {"ref": "danielebaldoni/correlations-between-variables", "kernel_id": "27738259"}, {"ref": "mohamedfathi07/titanic-project", "kernel_id": "27433590"}, {"ref": "rivanradian/titanic-machine-learning-with-rfc-method", "kernel_id": "27346325"}, {"ref": "daviribeirodossantos/titanic-dataset-predictions", "kernel_id": "27087720"}, {"ref": "dataschoolmn/python-8-2", "kernel_id": "27705515"}, {"ref": "shaimaahossam/khaled-tag", "kernel_id": "27366437"}, {"ref": "ertugrulesol/basic-titanic-notebook", "kernel_id": "27394054"}, {"ref": "vivianhenrypaul/titanic-complete-data-science-solution", "kernel_id": "27506828"}, {"ref": "mikueen/titanic-eda", "kernel_id": "27097608"}, {"ref": "artem8verbov/creating-new-features-with-kmeans", "kernel_id": "27080245"}, {"ref": "yefimsokolov/rf-w-basic-feature-engineering", "kernel_id": "27858327"}, {"ref": "bijoyrahman/first-task-titanic", "kernel_id": "27511416"}, {"ref": "saraham/titanic-survivor", "kernel_id": "27138272"}, {"ref": "saraham/titanic-automated-eda", "kernel_id": "27153295"}, {"ref": "kunalkishore01/starting-with-titanic", "kernel_id": "27355803"}, {"ref": "devkotak/notebooka3a8b9565c", "kernel_id": "27565760"}, {"ref": "anandparmar/binning-vs-scaling-continous-variables", "kernel_id": "27639788"}, {"ref": "chickensqrt64/basic-nn-tensorflow", "kernel_id": "27967924"}, {"ref": "piyushm28/titanic-rating", "kernel_id": "27189038"}, {"ref": "furkanceyran/titanictest", "kernel_id": "27656870"}, {"ref": "oscarivanrami/titanic-analysis-and-predictions", "kernel_id": "27164008"}, {"ref": "raynerhansyesenduk/titanikdata", "kernel_id": "27685600"}, {"ref": "abdelrhmaneltawagny/apply-probability-distributions-in-real-data", "kernel_id": "27454787"}, {"ref": "chingiznurzhanov/titanic-customtransformer-customclassifier", "kernel_id": "27931560"}, {"ref": "byenhyenmin/titanic-study-bhm", "kernel_id": "27462572"}, {"ref": "jp9code/gridsearch-titanic", "kernel_id": "27895832"}, {"ref": "utkarshpic/getting-started-with-titanic", "kernel_id": "27056013"}, {"ref": "starun2202/titanic-saurabh", "kernel_id": "27897433"}, {"ref": "kartikeyat/creating-ml-pipelines-bayes-evaluation-using-roc", "kernel_id": "27372071"}, {"ref": "tantannoudle/titanic-2022-5-28", "kernel_id": "27440051"}, {"ref": "metinkagit/titanic", "kernel_id": "27420819"}, {"ref": "dipankarmitra96/titanic-survival-predictions", "kernel_id": "27060948"}, {"ref": "shukrullonazirjonov/gridsearchcv-models-random-forest", "kernel_id": "27242555"}, {"ref": "fearsomejockey/titanic-eda-gridsearchcv-model", "kernel_id": "27704646"}, {"ref": "prakherpratyush/titanic-survival-prediction", "kernel_id": "27681507"}, {"ref": "alexjercan/getting-started-with-titanic", "kernel_id": "27354126"}, {"ref": "igorprikhodko/1-2-supervised-learning-classification-titanic", "kernel_id": "27445440"}, {"ref": "dipakbera/titanic-disaster-ml-model-decision-tree", "kernel_id": "27095028"}, {"ref": "zocainviken/titanic-disaster-wisdom-of-crowd-failed", "kernel_id": "27101758"}, {"ref": "zocainviken/titanic-disaster-deeper-into-dataset", "kernel_id": "27122186"}, {"ref": "houssemeddinedhahri/how-to-get-0-89-accuracy-0-91-precision", "kernel_id": "27120674"}, {"ref": "masatomurakawamm/titanic-deeplearning-tpu-optimization-h2o-automl", "kernel_id": "27981505"}, {"ref": "alicegao0111/titanic-growstem", "kernel_id": "27062186"}, {"ref": "umasaiteja/titanic-ml", "kernel_id": "27788171"}, {"ref": "tomaslicheri/combination-of-algorithms", "kernel_id": "27771160"}, {"ref": "nebojshaantic/exercise-arithmetic-and-variables", "kernel_id": "27314455"}, {"ref": "locpham2001/titanic-numbers-from-disaster", "kernel_id": "27640271"}, {"ref": "azminetoushikwasi/all-imputation-techniques-with-pros-and-cons", "kernel_id": "27588167"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "jyotishmandas/titanic-code", "kernel_id": "27934590"}, {"ref": "noelsudhish/titanic-using-neural-networks", "kernel_id": "27172508"}, {"ref": "samuelfainberg/titanic", "kernel_id": "27184253"}, {"ref": "rhythmcam/mean-median-feature-engineering-titanic", "kernel_id": "27257661"}, {"ref": "rhythmcam/titanic-one-feature-prediction", "kernel_id": "27058348"}, {"ref": "mohammad2012191/titanic-disaster-eda-learn-feature-engineering", "kernel_id": "27174887"}, {"ref": "leejunseok97/titanic-eda-prediction-lightgbm", "kernel_id": "27992581"}, {"ref": "ibrahimmaiga/getting-started-with-titanic", "kernel_id": "27824068"}, {"ref": "afifzuraidi/getting-started-with-titanic", "kernel_id": "27114564"}, {"ref": "garoong/titanic", "kernel_id": "27094816"}, {"ref": "formeforu/titanic-data-prediction", "kernel_id": "27074076"}, {"ref": "siyyali/exercise-arithmetic-and-variables", "kernel_id": "27823040"}, {"ref": "lanpingwu/titanic-new", "kernel_id": "27021210"}, {"ref": "siddharthsingh501/titanic-survival-prediction-ensembling0-80382", "kernel_id": "27578424"}, {"ref": "vineetkumarpatil/titanic-v1-basic-ml", "kernel_id": "27788372"}, {"ref": "saishodhanrao/myversion2", "kernel_id": "27960060"}, {"ref": "neilpinnock/titanic-death-eda-and-ml", "kernel_id": "27457989"}, {"ref": "omarmohamedelgharib/titanic-survival-eda-and-prediction", "kernel_id": "27488059"}, {"ref": "jeongkyulim/2022-berkshire-hathaway-meeting-with-tableau", "kernel_id": "27299744"}, {"ref": "daevapaskausky/titanic-prediction", "kernel_id": "27712210"}, {"ref": "asemmustafa/predicting-titanic-survival-analyzing-passenger-d", "kernel_id": "27658469"}, {"ref": "maharshipandya/statistical-data-types-and-graphs-using-seaborn", "kernel_id": "27652588"}, {"ref": "amishra1769/titanic-eda-and-logistic-regression", "kernel_id": "27737389"}, {"ref": "samwong127/titanic-survival-rate-with-sklearn", "kernel_id": "27058444"}, {"ref": "moatazghazy/titanic-survive", "kernel_id": "27732065"}, {"ref": "hastingssibanda/titanickagglehs040622", "kernel_id": "27649966"}, {"ref": "nejatzileli/late-submission-0-772", "kernel_id": "27705283"}, {"ref": "hatokgl/titanic-japanese", "kernel_id": "27581578"}, {"ref": "omkargowda/titanic-competition-notebook", "kernel_id": "27500617"}, {"ref": "harshsingh2209/titanic-survival-eda-classification", "kernel_id": "27543005"}, {"ref": "hari26082000/exercise-arithmetic-and-variables", "kernel_id": "27444267"}, {"ref": "daliasarhan/titanic-ml-model", "kernel_id": "27307370"}, {"ref": "prateek2709/titanic-project-1", "kernel_id": "27355815"}, {"ref": "ahmedsafwatgb20/titanic", "kernel_id": "27744623"}, {"ref": "vladimirgluten/failed-notebook", "kernel_id": "27257526"}, {"ref": "yinn94/predicting", "kernel_id": "27850952"}, {"ref": "mostafalabib/titanic-with-decisiontree-77-9", "kernel_id": "27118134"}, {"ref": "somdudewillson/titanic-dabbling", "kernel_id": "27486431"}, {"ref": "guillaumegarcia/titanic-notebook-explained", "kernel_id": "27801281"}, {"ref": "homakpatel/titanic-competition-notebook-kaggle", "kernel_id": "27920381"}, {"ref": "filibertozurita/titanic-survival-smote-model-comparisons", "kernel_id": "27730767"}, {"ref": "arnavr10880/predict-scores-using-lightpredict", "kernel_id": "27105757"}, {"ref": "chennu1/titanic-disaster-survival-prediction-gbc", "kernel_id": "27649514"}, {"ref": "dharmendrastg/data-analysis-and-feature-extraction-with-python", "kernel_id": "27860648"}, {"ref": "dianalaveena/titanic-prediction", "kernel_id": "27763974"}, {"ref": "mmmelggg/my-titanic-attempt", "kernel_id": "27199547"}, {"ref": "asmmamun/getting-started-with-titanic", "kernel_id": "27110954"}, {"ref": "eligallagher/titanic-pass-1", "kernel_id": "27204088"}, {"ref": "eligallagher/titanic-pass-2", "kernel_id": "27206055"}, {"ref": "kyc0916/kyc-titanic", "kernel_id": "27000906"}, {"ref": "mikekertser/titanic-notebook", "kernel_id": "27214247"}, {"ref": "alwaleedalattas/titanic-top-7", "kernel_id": "27258306"}, {"ref": "gangireddyjithendra/titanic-survivals", "kernel_id": "27801612"}, {"ref": "wkdgns135/mlbasic-tp", "kernel_id": "27425495"}, {"ref": "mohammadsameersid/titanic-project", "kernel_id": "27891368"}, {"ref": "gutopro/titanic-1st-try", "kernel_id": "27433403"}, {"ref": "dewanggaputra/titanic-survivor", "kernel_id": "27624064"}, {"ref": "qtphan110522604/titanic-new-test", "kernel_id": "27582614"}, {"ref": "yuriefenie/titanic-competition", "kernel_id": "27310160"}, {"ref": "cangazi13/eda-with-titanic", "kernel_id": "27213799"}, {"ref": "t3kuwabara/titanic-test", "kernel_id": "27746626"}, {"ref": "t3kuwabara/titanic-test3", "kernel_id": "27923657"}, {"ref": "t3kuwabara/titanic-test2", "kernel_id": "27921214"}, {"ref": "t3kuwabara/titanic-dataanalysis-start", "kernel_id": "27944263"}, {"ref": "t3kuwabara/titanic-dataanalysis", "kernel_id": "27887807"}, {"ref": "ahnsugyeong/titanic-machine-learning-from-disaster", "kernel_id": "27265570"}, {"ref": "nourhadrich/titanic-with-xgboost-beginner-e6ace4", "kernel_id": "27960811"}, {"ref": "nourhadrich/titanic-with-xgboost-beginner", "kernel_id": "27773113"}, {"ref": "pankajkumar2002/the-titanic-disaster", "kernel_id": "27217337"}, {"ref": "liutprand/titanic-test", "kernel_id": "27320739"}, {"ref": "naoshigedoi/titanic-prediction", "kernel_id": "27740967"}, {"ref": "ngphngnam2002/titanic", "kernel_id": "27667786"}, {"ref": "adityakrm2/absolute-beginner-step-by-step-part-1-eda", "kernel_id": "27507584"}, {"ref": "umangdobariya1436/eda-on-titanic-dataset", "kernel_id": "27872343"}, {"ref": "muratcakmak/exercise-arithmetic-and-variables", "kernel_id": "27368509"}, {"ref": "mounttiantai/getting-started-with-titanic", "kernel_id": "27746442"}, {"ref": "njabulomasilela/elen4009a-project-submission", "kernel_id": "27869423"}, {"ref": "suvinkumar/getting-started-with-titanic", "kernel_id": "27097510"}, {"ref": "swyang15/practice-code-titanic-ysw", "kernel_id": "27671606"}, {"ref": "dasaniket261/titanic-survival-prediction", "kernel_id": "27257817"}, {"ref": "lapcbws/titanic-competition", "kernel_id": "27483719"}, {"ref": "contrabase/titanic-note-using-oof-xgboost", "kernel_id": "27501879"}, {"ref": "anuradhaghotekar/titanic-survival-by-aag", "kernel_id": "27477822"}, {"ref": "ahmadsoliman94/survived-prediction-with-ann", "kernel_id": "27538302"}, {"ref": "ahmadsoliman94/survived-prediction-svm", "kernel_id": "27041808"}, {"ref": "samuelkrall/titanic-competition", "kernel_id": "27646627"}, {"ref": "tonyrubanrajraja/titanic-survival-prediction-using-nn", "kernel_id": "27981296"}, {"ref": "subhrajyotinath/titanic-survival", "kernel_id": "27074178"}, {"ref": "vaishali080/notebookb0d4469a38", "kernel_id": "27632108"}, {"ref": "azzamohamed/titanic-prediction", "kernel_id": "27985609"}, {"ref": "esraasayed98/titanic-machine-learning-from-disaster", "kernel_id": "27626134"}, {"ref": "alexeyshakov/titanic-with-deck-and-title-features", "kernel_id": "27643262"}, {"ref": "alexeyshakov/titanic", "kernel_id": "27573332"}, {"ref": "vaidehisavaliya08/titanic-data-analysis", "kernel_id": "27981324"}, {"ref": "ziadhamadafathy/preprocessing-and-predict-survival", "kernel_id": "27228407"}, {"ref": "pmykola/kp10-titanic", "kernel_id": "27246002"}, {"ref": "abdallashehab/notebook20cdd1e29c", "kernel_id": "27138018"}, {"ref": "tharunk07/titanicmodel", "kernel_id": "27078192"}, {"ref": "jihankristalyasmin/exercise-arithmetic-and-variables", "kernel_id": "27267579"}, {"ref": "edgargamboa/titanic", "kernel_id": "27810091"}, {"ref": "madudumaombi/exercise-arithmetic-and-variables", "kernel_id": "27774072"}, {"ref": "harshmantri10/notebook4066b40bfc", "kernel_id": "27576126"}, {"ref": "vikhyatgupta19/getting-started-with-ml-titanic", "kernel_id": "27985567"}, {"ref": "linettecorreia/titanic-machine-learning-from-disaster", "kernel_id": "27493306"}, {"ref": "sourakantighosh/titanic-data", "kernel_id": "27033628"}, {"ref": "t123anmay/exercise-arithmetic-and-variables", "kernel_id": "27583320"}, {"ref": "viktorthrane/my-assignment-kaggle-titanic", "kernel_id": "27157299"}, {"ref": "chuckh193333/titanic-survivors-predictive-analysis", "kernel_id": "27092005"}, {"ref": "mnespeque/titanic-melissa", "kernel_id": "27794865"}, {"ref": "shayanraza/titanic-logistic-regression", "kernel_id": "27786482"}, {"ref": "simicity/getting-started-with-titanic-survival-prediction", "kernel_id": "27604605"}, {"ref": "sagshk/the-titanic-project", "kernel_id": "27321677"}, {"ref": "gehallak/titanic-pytorch-nn-columntransformer", "kernel_id": "27524765"}, {"ref": "batmancyber/titanicsurvivors", "kernel_id": "27217252"}, {"ref": "milanvaddoriya/titanic-analysis-classification", "kernel_id": "27161581"}, {"ref": "chayanmandal/titanic-survival-model", "kernel_id": "27679672"}, {"ref": "tusharnautiyalweb/titanic-dataset-notebook", "kernel_id": "27306523"}, {"ref": "abdelbakiguir/titanic-with-random-forest", "kernel_id": "27386713"}, {"ref": "david224/avalia-o-manual-e-aplica-o-de-random-forest", "kernel_id": "27024227"}, {"ref": "matthewkoltunov/titanic-data-science-project", "kernel_id": "27539107"}, {"ref": "taf1404/first-competition-titanic", "kernel_id": "27692544"}, {"ref": "preet11/titanic-prediction", "kernel_id": "27012927"}, {"ref": "jiaowoguanren/titanic-automl-tf-accuracy-0-7949", "kernel_id": "27101085"}, {"ref": "bohnphm/titanic-fill-missing-col-by-randomforest", "kernel_id": "27094617"}, {"ref": "vincentbrunner/ml-from-scratch-adaboost", "kernel_id": "27458385"}, {"ref": "vincentbrunner/ml-from-scratch-decision-trees", "kernel_id": "27035912"}, {"ref": "advaitdev/public-t-notebook-test", "kernel_id": "27943915"}, {"ref": "madhurpant/beautiful-titanic-eda-with-ml", "kernel_id": "27639415"}, {"ref": "madhurpant/titanic-eda-to-ml-for-beginners", "kernel_id": "27241529"}, {"ref": "andrewhagan/titanic-with-random-forest", "kernel_id": "27441145"}, {"ref": "andrewhagan/titanic-machine-learning-svm", "kernel_id": "27613108"}, {"ref": "ahmedhany590/notebookedc6958c2e", "kernel_id": "27138150"}, {"ref": "griolu/random-forests-but-with-neural-networks", "kernel_id": "27245606"}, {"ref": "griolu/titanic-random-forests-and-deep-learning", "kernel_id": "27193839"}, {"ref": "apoorvauplap/titanic-exploratory-data-analysis", "kernel_id": "27250650"}, {"ref": "biswadata/titanic-survival-prediction", "kernel_id": "27817108"}, {"ref": "yuna9290/titanic", "kernel_id": "27646411"}, {"ref": "kwb123/useful-html-for-jupyter-notebook", "kernel_id": "27578848"}, {"ref": "amjadaltamimi/notebookeccac434cc", "kernel_id": "27004769"}, {"ref": "datecasp/titanic-disaster-survival-prediction-rf", "kernel_id": "27634652"}, {"ref": "datecasp/titanic-disaster", "kernel_id": "27802457"}, {"ref": "markuskremer1232/xgboost-with-missing-values-in-age-interpolated", "kernel_id": "27896411"}, {"ref": "rushikeshdane20/build-recommendation-system-app-with-streamlit", "kernel_id": "27969675"}, {"ref": "rushikeshdane20/plotly-tutorial-how-to-make-plotly-visuals-better", "kernel_id": "27872146"}, {"ref": "panchangamsravani/titanic", "kernel_id": "27897895"}, {"ref": "shendredm/titanic-submit", "kernel_id": "27125935"}, {"ref": "dwcolman/titanic-svm-add-more-ml-algos-in-future", "kernel_id": "27934171"}, {"ref": "abhishekyadav475/titanic-problem-solution", "kernel_id": "27078725"}, {"ref": "arancium/logistic-regression-titanic-score-0-76315", "kernel_id": "27092389"}, {"ref": "chaithutalasila/titanic", "kernel_id": "27121939"}, {"ref": "daesunryu/eda-titanic", "kernel_id": "27302677"}, {"ref": "robinboudiette/titanic-data-set", "kernel_id": "27995595"}, {"ref": "kazusumiogihara/titanic-topse", "kernel_id": "27646311"}, {"ref": "slyofzero/eda-on-the-titanic-dataset", "kernel_id": "27823268"}, {"ref": "mehmetaliyilmaz1/titanik-eda", "kernel_id": "27426748"}, {"ref": "lubowei/titainversionbo", "kernel_id": "27469043"}, {"ref": "chisun3/getting-started-with-titanic", "kernel_id": "27824412"}, {"ref": "madhurk2511/titanic-classification", "kernel_id": "27366819"}, {"ref": "waleedfaheem/predictive-analysis-on-titanic-dataset", "kernel_id": "27934715"}, {"ref": "patrickcarey4/titanic-rf-and-svm", "kernel_id": "27121309"}, {"ref": "vincentvaseghi/titanic-survival-prediction-with-machine-learning", "kernel_id": "27804708"}, {"ref": "diasseraliyev/titanic-submission-01", "kernel_id": "27320965"}, {"ref": "chukwunenyeanene/my-titanic-prediction", "kernel_id": "27576029"}, {"ref": "siddharthpatondikar/titanic-ml-notebook", "kernel_id": "27780330"}, {"ref": "yasurona/titanic", "kernel_id": "27752043"}, {"ref": "munazzzasadaf/my-first-notebook", "kernel_id": "27348094"}, {"ref": "aliyasirnac/datai-titanic-eda", "kernel_id": "27969851"}, {"ref": "tomasborges/titanic-prediction-with-stacking", "kernel_id": "27701409"}, {"ref": "huqingyi/code0", "kernel_id": "27189556"}, {"ref": "mattiacallegaro02/titanic", "kernel_id": "27032047"}, {"ref": "trasemana/titanic-project", "kernel_id": "27969471"}, {"ref": "concretemlteam/titanic-with-privacy-preserving-machine-learning", "kernel_id": "27603871"}, {"ref": "littlesilver16/titanicv0", "kernel_id": "27143557"}, {"ref": "dilshaniranasinghe/notebookd8b09d48a1", "kernel_id": "27519118"}, {"ref": "sergrobles/simple-solution", "kernel_id": "27533086"}, {"ref": "jessicasarahkow/elen4009-logreg-no-tuning", "kernel_id": "27421023"}, {"ref": "jessicasarahkow/elen4009-logreg-final", "kernel_id": "27791528"}, {"ref": "mach1net/nbtitanic-logistic-regression-with-age", "kernel_id": "27768461"}, {"ref": "mach1net/nbtitanic-logistic-regression", "kernel_id": "27802543"}, {"ref": "mach1net/nbtitanic-knn", "kernel_id": "27855994"}, {"ref": "matheusbaptistasilva/titanic-matheus-baptista", "kernel_id": "27518891"}, {"ref": "minhazengg/titanic-predicto", "kernel_id": "27192752"}, {"ref": "franklinferreira/titanic-notebook", "kernel_id": "27658956"}, {"ref": "phoenix0706/random-forest-classification", "kernel_id": "27303027"}, {"ref": "hongseoi/titanic-competition", "kernel_id": "27062845"}, {"ref": "chungyanchow/titanic", "kernel_id": "27967260"}, {"ref": "pangaujeklinnadya/notebooka5cde77c29", "kernel_id": "27685611"}, {"ref": "soundaryaselvakumar/titanic-draft", "kernel_id": "27794538"}, {"ref": "mirfanazam/prophet-titanic", "kernel_id": "27601744"}, {"ref": "sedulous123/pqwe12", "kernel_id": "27626148"}, {"ref": "lucasportodealmeida/titanic-0-78947", "kernel_id": "27212381"}, {"ref": "vijaya2002/notebook3199a8674b", "kernel_id": "27153379"}, {"ref": "ahmedhassan20/titanic", "kernel_id": "27249084"}, {"ref": "wangwenlongxjtu/titanic-low-rank", "kernel_id": "27162623"}, {"ref": "quandang1210/temp-1", "kernel_id": "27667302"}, {"ref": "diyadheep21/titanic-survival-random-forest", "kernel_id": "27587288"}, {"ref": "prakwan/just-getting-started", "kernel_id": "27101301"}, {"ref": "nadakhaled98/basic-sample-ml", "kernel_id": "27103602"}, {"ref": "rossanneadams/notebook24fe85c305", "kernel_id": "27742458"}, {"ref": "rossanneadams/notebookd6fe1ff5cb", "kernel_id": "27792152"}, {"ref": "btharunkumar/titanic-survivers", "kernel_id": "27182551"}, {"ref": "btharunkumar/myfirstcompetition", "kernel_id": "27186848"}, {"ref": "karanv68/titanic-case", "kernel_id": "27162157"}, {"ref": "ogmios1/simple-titanic-code-improved-from-courses", "kernel_id": "27986013"}, {"ref": "eisgandar/titanic-survivor-prediction-feature-engineering", "kernel_id": "27261029"}, {"ref": "hakeemgadi/titanic-gone-deep-minimal-intro-to-deep-learning", "kernel_id": "27568658"}, {"ref": "hakeemgadi/titanic-logisticreg-cvgs", "kernel_id": "27337817"}, {"ref": "wilsonboyd/notebook5de45e6ae6", "kernel_id": "27340244"}, {"ref": "oumouhouh/le-titanic", "kernel_id": "27472966"}, {"ref": "ajkannampuzha/titanic-problem-using-random-regression", "kernel_id": "27312345"}, {"ref": "poklonsky0alex/myfirstnotebook", "kernel_id": "27288618"}, {"ref": "axelbasocak/titanic-complete-machine-learning", "kernel_id": "27762624"}, {"ref": "hiroha/note0531", "kernel_id": "27494400"}, {"ref": "ukyokobayashi/first-kaggle", "kernel_id": "27494904"}, {"ref": "gilberttampubolon/titanic-survival-prediction-using-random-forest", "kernel_id": "27587073"}, {"ref": "saiteja38/titanic-ml-model", "kernel_id": "27816874"}, {"ref": "amsavallim/various-pandas-filter-functions", "kernel_id": "27981461"}, {"ref": "churoc/get-start-with-titanic", "kernel_id": "27360850"}, {"ref": "sathyanarayanrao89/ensemble-voting-on-titanic", "kernel_id": "27967574"}, {"ref": "sathyanarayanrao89/randomforest-ensembles-and-grid-search-for-titanic", "kernel_id": "27705668"}, {"ref": "analauracenteno/getting-started-with-titanic-ana", "kernel_id": "27374088"}, {"ref": "neopoleones/simple-solution-for-titanic", "kernel_id": "27398394"}, {"ref": "hnnhytc/exercise-arithmetic-and-variables", "kernel_id": "27982634"}, {"ref": "nehalgordhan/titanic-knn-2-0", "kernel_id": "27766266"}, {"ref": "nehalgordhan/group-notebook", "kernel_id": "27843327"}, {"ref": "zakhnadhiraj/elen4009-project", "kernel_id": "27843528"}, {"ref": "zakhnadhiraj/newdataprep", "kernel_id": "27794342"}, {"ref": "shiontempest/titanic", "kernel_id": "27454369"}, {"ref": "subhadeepdebnath/titanic-ml-from-disaster-perfect-template", "kernel_id": "27913155"}, {"ref": "rohanhbtu/titanic-survival-predictor", "kernel_id": "27940792"}, {"ref": "crisoldoni/getting-started-with-titanic", "kernel_id": "27517324"}, {"ref": "marcosgarcia75/titanic-competition", "kernel_id": "27740253"}, {"ref": "philiptruong/titanic-linear-phil", "kernel_id": "27613137"}, {"ref": "carinaferraris/titanic-submission", "kernel_id": "27636074"}, {"ref": "timowerner/titanic-comp-1st-book", "kernel_id": "27552469"}, {"ref": "icetomahawk/titanic", "kernel_id": "27616083"}, {"ref": "guhenriquetorres/titanic-g-u", "kernel_id": "27801534"}, {"ref": "bevancharlesraper/elen4009a-submission", "kernel_id": "27974270"}, {"ref": "rasikadanawade/titanic-prediction-ais", "kernel_id": "27756875"}, {"ref": "aryansingh0909/titanic-comp", "kernel_id": "27866527"}, {"ref": "juliomasengi/titanic-test", "kernel_id": "27685546"}, {"ref": "supitedgardgarry/titanic-data-supit21", "kernel_id": "27874479"}, {"ref": "tirzamatulatuwa/titanic-data", "kernel_id": "27685669"}, {"ref": "abigailmiracle/notebook88e0387c51", "kernel_id": "27873492"}, {"ref": "prayermgterok/notebook1b239e082b", "kernel_id": "27878404"}, {"ref": "prayermgterok/data-mining", "kernel_id": "27685650"}, {"ref": "ranggaaldokorompis/titanic-datset", "kernel_id": "27685683"}, {"ref": "hendrikrudolftupan/notebookb93305fafe", "kernel_id": "27879403"}, {"ref": "rudyschn/quick-titanic-mlp", "kernel_id": "27854807"}, {"ref": "atharv225/titanic-prediction-accuracy", "kernel_id": "27847265"}, {"ref": "nickwarrener/elen4009-assignment", "kernel_id": "27870172"}, {"ref": "sudeekshaagrawal/061322-titanic-practice-challenge", "kernel_id": "27891169"}, {"ref": "drkjhyuck/py-t1-1-iqr-expected-questions", "kernel_id": "27990818"}, {"ref": "radek1/scikit-learn-pipeline-fastai-with-one-cycle", "kernel_id": "28018808"}, {"ref": "xiefei/exercise-arithmetic-and-variables", "kernel_id": "28388893"}, {"ref": "skoropad/titanic-1", "kernel_id": "28339142"}, {"ref": "jimmymir/tnotebook", "kernel_id": "28785279"}, {"ref": "waldemar/super-easy-introduction-to-kaggle-directories", "kernel_id": "28938171"}, {"ref": "emphymachine/titanic-ml-pjt-for-beginner-kor", "kernel_id": "28844082"}, {"ref": "emphymachine/sklearn-tutorial", "kernel_id": "28108822"}, {"ref": "emphymachine/eda-prediction-simplest-starter-code", "kernel_id": "28271215"}, {"ref": "yvonne1992/python-for-data-27-linear-regression", "kernel_id": "28624872"}, {"ref": "yvonne1992/python-for-data-30-random-forests", "kernel_id": "28624884"}, {"ref": "yvonne1992/python-for-data-29-decision-trees", "kernel_id": "28624886"}, {"ref": "yvonne1992/python-for-data-28-logistic-regression", "kernel_id": "28629076"}, {"ref": "yvonne1992/feature-engineering-and-feature-selection", "kernel_id": "28624680"}, {"ref": "carlosjimenezdata/dynamic-eda-and-fine-tuning-decision-tree-and-logr", "kernel_id": "28028990"}, {"ref": "ashekhar/titanic-with-neural-networks", "kernel_id": "28523137"}, {"ref": "rodrigoguarneros/proyecto-integrador-titanic-rodrigo-guarneros-ml", "kernel_id": "28107636"}, {"ref": "thegodchurch/titanic-pound", "kernel_id": "28832324"}, {"ref": "ahmadgouda96/titanic-disaster", "kernel_id": "28314700"}, {"ref": "leodaniel/statistics-101-a-simple-approach", "kernel_id": "28986525"}, {"ref": "abhi10699/titanic-eda-and-classification", "kernel_id": "28268778"}, {"ref": "xxblackxx/comparison-between-different-solutions", "kernel_id": "28451002"}, {"ref": "motohiro/notebook425d94e8eb", "kernel_id": "28202366"}, {"ref": "tiwaris436/titanic-knn", "kernel_id": "28537514"}, {"ref": "tiwaris436/titanic-logistic-regression-with-python", "kernel_id": "28381879"}, {"ref": "rohitwaldekar/titanic-notebook", "kernel_id": "28270345"}, {"ref": "aykhaled/titanic-logistic-regression-for-beginners", "kernel_id": "28261391"}, {"ref": "aykhaled/titanic-linear-regression-for-beginners", "kernel_id": "28191201"}, {"ref": "mana0822/notebook1a1ff30eb8", "kernel_id": "28328159"}, {"ref": "jcsalome/jcds-titanic-mld", "kernel_id": "28210280"}, {"ref": "soumya121/exercise-arithmetic-and-variables", "kernel_id": "28453474"}, {"ref": "ptr8190/py-t1-1-iqr-expected-questions", "kernel_id": "28210630"}, {"ref": "vibeeshk/titanic-r", "kernel_id": "28203547"}, {"ref": "armandsauzay/sklearn-all-you-need-to-know", "kernel_id": "28221209"}, {"ref": "armandsauzay/pandas-visualizations-sql-like-joins", "kernel_id": "28376378"}, {"ref": "kihei171/my-first-kaggle-notebook", "kernel_id": "28823047"}, {"ref": "hikingirl/titantic-rfc", "kernel_id": "28460195"}, {"ref": "shitalandhalkar/titanic-survival-predic", "kernel_id": "28706203"}, {"ref": "tilhi98/titanic-submission-xgboost", "kernel_id": "28614484"}, {"ref": "chaiarora/titanic-basic-solution-using-adaboost", "kernel_id": "28228297"}, {"ref": "tangtunyu/10botics-titanic", "kernel_id": "28356031"}, {"ref": "aditya22102001/titanic-classification", "kernel_id": "28386009"}, {"ref": "utkarsh175/cat-hgb-rf-0-82-acc", "kernel_id": "28150708"}, {"ref": "mechatronixs/exploring-data-analysis-on-the-titanic", "kernel_id": "28278333"}, {"ref": "umairaslam/titanic-advanced-classification", "kernel_id": "28494659"}, {"ref": "parisrohan/text-feature-generation", "kernel_id": "28933286"}, {"ref": "ttminh27/using-autoencoder-to-impute-missing-data", "kernel_id": "28380138"}, {"ref": "shroukali/titanic-classification-shrouk-ali", "kernel_id": "28351678"}, {"ref": "hossam22smesm/titanic", "kernel_id": "28210617"}, {"ref": "liza18/fork-of-titanic-ml-from-disaster-01", "kernel_id": "28743035"}, {"ref": "brunoar86/titanic", "kernel_id": "28786632"}, {"ref": "nandomartinez/titanic-jul22", "kernel_id": "28395283"}, {"ref": "fernandomazzoni/titanic-1st-competition-submission", "kernel_id": "28962211"}, {"ref": "aliyurtseven/titanic-problem-combined-algorithm", "kernel_id": "28122179"}, {"ref": "pmassouf/titanic-0-78-accuracy-xgb", "kernel_id": "28511925"}, {"ref": "biswajitbrahmma/eda-feature-engineering-ensemble-titanic", "kernel_id": "28274582"}, {"ref": "shohelhossain/titanic-eda", "kernel_id": "28377108"}, {"ref": "philippsudek/psudek-titanic-no-nans", "kernel_id": "28302937"}, {"ref": "abdallahjaolaza/titanic-prdiction", "kernel_id": "28818135"}, {"ref": "ramihani/iti-classification-notebook", "kernel_id": "28228884"}, {"ref": "rajeevbhadola/gradient-boost-classifier-for-titanic", "kernel_id": "28316326"}, {"ref": "mumeryasin/learning-basic-eda-commands-with-pandas-seaborn", "kernel_id": "28358913"}, {"ref": "mumeryasin/exercise-arithmetic-and-variables", "kernel_id": "28390985"}, {"ref": "adityabhaskar1/titanic-prediction", "kernel_id": "28929016"}, {"ref": "hossamsaad/titanic-ml", "kernel_id": "28210580"}, {"ref": "rajdalsaniya/titanic-survival-prediction-xgb", "kernel_id": "28482456"}, {"ref": "rajdalsaniya/titanic-survival-prediction-with-feature-eng", "kernel_id": "28408403"}, {"ref": "rajdalsaniya/titanic-survival-prediction-v1", "kernel_id": "28401171"}, {"ref": "rajdalsaniya/titanic-survival-prediction-random-forest", "kernel_id": "28285965"}, {"ref": "billint/xxxxxx", "kernel_id": "28309901"}, {"ref": "billint/mlp-baseline-pytorch", "kernel_id": "28357285"}, {"ref": "dexmasa/titanic-challenge-detailed-analysis-and-modelling", "kernel_id": "28211403"}, {"ref": "jamieses/titanic-machine-learning-from-disaster-agamal", "kernel_id": "28220980"}, {"ref": "hardiksrivastava/titanic-survival-prediction", "kernel_id": "28994555"}, {"ref": "sakhiwomtwenka/titanic-homework", "kernel_id": "28451068"}, {"ref": "mehmetkaraka/advanced-func-eda-titanic-and-breast-cancer-data", "kernel_id": "28701967"}, {"ref": "blackhurt/stacking-algorithm-with-voting-classifier", "kernel_id": "28612234"}, {"ref": "colemankrawczyk/titanic-umap", "kernel_id": "28447959"}, {"ref": "nalkrolu/which-titanic-passengers-survived", "kernel_id": "28301515"}, {"ref": "mustafaelaraby/notebook9503cde317", "kernel_id": "28228719"}, {"ref": "mayrizk/notebookd3cc153258", "kernel_id": "28340485"}, {"ref": "mayrizk/notebooka59ae16bcd", "kernel_id": "28339601"}, {"ref": "mayrizk/titanic", "kernel_id": "28228472"}, {"ref": "zeyunliang/naive-bayes", "kernel_id": "28538484"}, {"ref": "leongxinyun/titanic-notebook", "kernel_id": "28943572"}, {"ref": "jayaprakashvambara/titanic-submission", "kernel_id": "28644512"}, {"ref": "sagarkanade721/logisticregression-titanic-survival-prediction", "kernel_id": "28781960"}, {"ref": "karthikgangula/titanic", "kernel_id": "28397025"}, {"ref": "ocanaydin/ml-titanic-rfc-0-77", "kernel_id": "28367377"}, {"ref": "yoshisam/titanic-ml-eval", "kernel_id": "28684798"}, {"ref": "takshpanchal/data-exploration", "kernel_id": "28293809"}, {"ref": "juanchatelet/notebook5f8010df11", "kernel_id": "28221152"}, {"ref": "viniciusfachini/titanic-competition-95-accuracy", "kernel_id": "28079148"}, {"ref": "cleianeoliveira/submissaotitanic", "kernel_id": "28829164"}, {"ref": "mayracarolina/titanic", "kernel_id": "28439119"}, {"ref": "amerwafiy/titanic-competition-journey-to-100-accuracy", "kernel_id": "28701432"}, {"ref": "emish8/spaceship-transportation-randomforest", "kernel_id": "28410779"}, {"ref": "madelinecaples/titanic-competition-part-2", "kernel_id": "28163838"}, {"ref": "ratandeepgupta/titanic", "kernel_id": "28806205"}, {"ref": "adilmohammad/titanic-with-using-pipeline", "kernel_id": "28132897"}, {"ref": "harshvardhanpareek/85-percent-accuracy-with-xgboost", "kernel_id": "28083676"}, {"ref": "ubiratanfilho/titanic-com-regress-o-log-stica", "kernel_id": "28602440"}, {"ref": "kotneo/svc-accuracy-1-0", "kernel_id": "28342063"}, {"ref": "tholangchonelanga/getting-started-titanic-competition", "kernel_id": "28162821"}, {"ref": "bmbrad/titanic-bradsubmission", "kernel_id": "28314207"}, {"ref": "donnetew/titanic-binary-classification", "kernel_id": "28141612"}, {"ref": "benjamindeporte/custom-sklearn-pipeline-and-svm-model", "kernel_id": "28250777"}, {"ref": "raimondomelis/sgd-titanic", "kernel_id": "28955948"}, {"ref": "nivedambadipudi/titanic-dataset-simple-way-to-get-an-80", "kernel_id": "28317570"}, {"ref": "jesscorderoromero/titanic-competition-june-2023", "kernel_id": "28781481"}, {"ref": "michaelcripman/catboost-kfold-validation", "kernel_id": "28804024"}, {"ref": "reinhardsilaen/titanic-knn-and-random-forest", "kernel_id": "28227379"}, {"ref": "tomosmorgan/titanic-machine-learning-exercise", "kernel_id": "28302531"}, {"ref": "walidmahfoud/titanic-eda", "kernel_id": "28806515"}, {"ref": "dilanzmc/titanic-machine-learning", "kernel_id": "28064781"}, {"ref": "elliottdelaunay/kaggle-titantic-pca-test", "kernel_id": "28261559"}, {"ref": "bassanthany/titanic", "kernel_id": "28229311"}, {"ref": "akshatpattiwar/titanic-machine-learning-data-engineering", "kernel_id": "28963560"}, {"ref": "abdelrahmanhanafy/titanic", "kernel_id": "28225654"}, {"ref": "kyung2ming/cop-q3-survival-on-the-titanic", "kernel_id": "28268774"}, {"ref": "abdallahhassan22/simple-titanic-notebook", "kernel_id": "28815572"}, {"ref": "abdallahhassan22/titanic-notebook", "kernel_id": "28756011"}, {"ref": "bibekupadhyaya/tableau-eda-titanic", "kernel_id": "28892409"}, {"ref": "tylerpoore/titanic", "kernel_id": "28366697"}, {"ref": "yatana/titanic-experiments", "kernel_id": "28390898"}, {"ref": "uzaydeniz/logistic-regresion-w-titanic-dataset", "kernel_id": "28616065"}, {"ref": "parthabera/useful-html-for-jupyter-kaggle", "kernel_id": "28271410"}, {"ref": "odins0n/model-soups-with-tensorflow-tfds", "kernel_id": "28147170"}, {"ref": "ianolmstead/titanic-challenge", "kernel_id": "28654331"}, {"ref": "pragya1110/titanic-my-first-kaggle-project", "kernel_id": "28267752"}, {"ref": "rashidy14/notebook895ce946e0", "kernel_id": "28210527"}, {"ref": "tanavbajaj/neural-network-basic-using-tensorflow", "kernel_id": "28437892"}, {"ref": "tanavbajaj/naive-bayes", "kernel_id": "28439911"}, {"ref": "shaltout/titanic-prediction", "kernel_id": "28786355"}, {"ref": "ulytkch/cleanlab-data-centric-ai-example-0-7703-python", "kernel_id": "28103448"}, {"ref": "johnyuzhang/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "28334319"}, {"ref": "mohamedmeqlad/titanc-eda-ml-model-0-77751-accuracy", "kernel_id": "28653933"}, {"ref": "odaymourad/learn-overfitting-and-underfitting-79-4-score", "kernel_id": "28899975"}, {"ref": "odaymourad/feature-selection-data-engineering-step-by-step", "kernel_id": "28945699"}, {"ref": "odaymourad/detailed-and-typical-solution-ensemble-modeling", "kernel_id": "28964673"}, {"ref": "shivamagarwal29/survival-prediction-94", "kernel_id": "28057030"}, {"ref": "natsum1/titanic-randomforest", "kernel_id": "28524917"}, {"ref": "natsum1/titanic2-gb-lr-rf", "kernel_id": "28560762"}, {"ref": "ridotrimanto/titanic-competition", "kernel_id": "28150759"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "alhassanmohamed/pycaret-regression", "kernel_id": "28056785"}, {"ref": "mohamedrady111/notebookec2dec4ac7", "kernel_id": "28230313"}, {"ref": "jyotishmandas/titanic-code-with-95-accuracy", "kernel_id": "28065184"}, {"ref": "andreafranceschini/titanic-my-first-disastrous-kaggle-project", "kernel_id": "28758106"}, {"ref": "onurtuncaybal/random-forests-for-titanic-with-caret", "kernel_id": "28415175"}, {"ref": "dhirajkumar612/titanic-data-analysis", "kernel_id": "28210307"}, {"ref": "dhirajkumar612/titanic-quiz", "kernel_id": "28368646"}, {"ref": "jamilahfoucher/titanic-machine-learning-from-disaster", "kernel_id": "28330771"}, {"ref": "lukesonnanburg/thinking-too-hard-about-the-titanic-dataset", "kernel_id": "28010375"}, {"ref": "zakariatabatiinv/titanic-notebook", "kernel_id": "28809213"}, {"ref": "mahyararani/getting-started-with-titanic", "kernel_id": "28938779"}, {"ref": "elijahrona/analysis-with-regular-expressions-regex", "kernel_id": "28288059"}, {"ref": "shuvojitdas/predictive-data-analysis-on-titanic-dataset", "kernel_id": "28036035"}, {"ref": "rawaan/titanic-project", "kernel_id": "28667379"}, {"ref": "pazindushane/titanic", "kernel_id": "28169892"}, {"ref": "javokhirrajabov/titanic-eda-9-classification-approaches", "kernel_id": "28542139"}, {"ref": "mo3az3nbar/titanic-moaz", "kernel_id": "28319725"}, {"ref": "mitsutoshihamada/titanic-project", "kernel_id": "28349091"}, {"ref": "jusangoh/titanic-prediction-based-on-kaggle-course", "kernel_id": "28279288"}, {"ref": "dileshanprasad/survival-analysis-for-titanic-passengers", "kernel_id": "28073151"}, {"ref": "cocoyachi/ch0-titanic-basic-solution-using-randomforest", "kernel_id": "28806987"}, {"ref": "imadaatsuki/notebook3be457edba", "kernel_id": "28372449"}, {"ref": "emirhangazi/project-of-titanic", "kernel_id": "28908512"}, {"ref": "aytanm/1st-hw-ml", "kernel_id": "28278400"}, {"ref": "nitindiwakar/titanic-eda", "kernel_id": "28805369"}, {"ref": "vamsichennakesava/space-ship-using-auto-visualization-and-ml", "kernel_id": "28476292"}, {"ref": "maharshipandya/titanic-eda-and-classification", "kernel_id": "28566604"}, {"ref": "sebastianandrade/logistic-regression-from-scratch", "kernel_id": "28484849"}, {"ref": "param302/titanic-survival-competition-9", "kernel_id": "28566729"}, {"ref": "param302/titanic-survival-competition-10", "kernel_id": "28569857"}, {"ref": "param302/titanic-survival-competition-8", "kernel_id": "28564775"}, {"ref": "param302/titanic-survival-competition-2", "kernel_id": "28486699"}, {"ref": "param302/titanic-survival-competition-3", "kernel_id": "28487907"}, {"ref": "param302/titanic-survival-competition-4", "kernel_id": "28489414"}, {"ref": "param302/titanic-survival-competition-5", "kernel_id": "28516871"}, {"ref": "param302/titanic-survival-competition-6", "kernel_id": "28543620"}, {"ref": "param302/titanic-survival-competition-7", "kernel_id": "28550665"}, {"ref": "param302/titanic-survival-competition-1", "kernel_id": "28461691"}, {"ref": "manikantagoli/learning-basic-ml-by-titanic-survival-prediction", "kernel_id": "28419857"}, {"ref": "manikantagoli/learning-basic-ml-by-titanic-survival-predi-49ce56", "kernel_id": "28420208"}, {"ref": "iketuba/titanic-2022-06-23", "kernel_id": "28173209"}, {"ref": "abdulghaffaransari/titanic-machine-learning-from-disaster", "kernel_id": "28329827"}, {"ref": "vinyksd/titanic-itc", "kernel_id": "28854056"}, {"ref": "dhruvalpatel30/titanic-survival-prediction-logistic-regression", "kernel_id": "28593363"}, {"ref": "hatokgl/titanic", "kernel_id": "28280869"}, {"ref": "toygarr/captain-jack-sparrow-choose-his-crew-for-titanic", "kernel_id": "28774708"}, {"ref": "areffarzanieh/titanic-survived-classification", "kernel_id": "28798338"}, {"ref": "arzooparihar/rose-and-jack-of-titanic-78-229-score", "kernel_id": "28896878"}, {"ref": "aod0gru/titanic-eda-aucroc-randomizedgbm", "kernel_id": "28517231"}, {"ref": "ajitgupta070512/exercise-arithmetic-and-variables", "kernel_id": "28542779"}, {"ref": "ambermishra717/titanic-project-amber-mishra", "kernel_id": "28335320"}, {"ref": "arnavr10880/fast-ai-random-forests", "kernel_id": "28515549"}, {"ref": "saparbaikaznabekov/titanic", "kernel_id": "28779298"}, {"ref": "anubhavde/titanic-machinelearningfromdisaster", "kernel_id": "28083005"}, {"ref": "tomomatsutoyohiko/titanic", "kernel_id": "28375016"}, {"ref": "rohitshirudkar/titanic-complete-analysis-end-to-end-pycaret", "kernel_id": "28040640"}, {"ref": "jungangchen/notebook0ae4bd55c5", "kernel_id": "28085647"}, {"ref": "jungangchen/decision-tree", "kernel_id": "28277897"}, {"ref": "faduregis/titanic-solution", "kernel_id": "28634406"}, {"ref": "unalfatih/titaniceda-fatih", "kernel_id": "28896036"}, {"ref": "franciscangeno/titanic-kaggle-competition", "kernel_id": "28866977"}, {"ref": "aniqahnaowar/titanic-2022", "kernel_id": "28270261"}, {"ref": "delle3abnina/lgbmclassifier-score-79-186", "kernel_id": "28478573"}, {"ref": "xiaohu2200/reach-top-100-by-xgboost-and-stacking-0-8245", "kernel_id": "28946595"}, {"ref": "yoshidamotonobu/notebookf912be2d15", "kernel_id": "28257934"}, {"ref": "asyehia/titanic-machine-learning-from-disaster", "kernel_id": "28318050"}, {"ref": "practicionerdl/titanic-challenge-competition", "kernel_id": "28887445"}, {"ref": "willianhaeberlin/pyspark-logistic-regression-on-the-titanic", "kernel_id": "28625151"}, {"ref": "ibrahimemara/titanic-eda-ml", "kernel_id": "28339767"}, {"ref": "suppaphatpringprerd/titanic-1", "kernel_id": "28041469"}, {"ref": "factral/titanic-artificial-neuronal-network-keras-es", "kernel_id": "28417522"}, {"ref": "marwandiab/titanic-eda-ml-marwan-diab", "kernel_id": "28250741"}, {"ref": "balajikartheek/titanic-survival-predictions", "kernel_id": "28497909"}, {"ref": "willingtodev/contribution-titanic-dataset-research", "kernel_id": "28359498"}, {"ref": "doukanelik/categorical-to-numeric-encoding", "kernel_id": "28693690"}, {"ref": "abdelrhamanfakhry/data-visualization-preprocessing-score-95-5", "kernel_id": "28416633"}, {"ref": "muhriddinmalik/titanic-disaster", "kernel_id": "28695547"}, {"ref": "haotienkuo/titanic-survival-prediction", "kernel_id": "28051413"}, {"ref": "voyager31/titanic-survival-rate", "kernel_id": "28695755"}, {"ref": "gokulkrishnacs/titanic-mlclassification", "kernel_id": "28245168"}, {"ref": "shubhamkoshal/titanic-project-prediciton", "kernel_id": "28919222"}, {"ref": "islamaljuneidi/titanic-data-analysis-and-ml", "kernel_id": "28912029"}, {"ref": "ryo0712/notebook4497576d5e", "kernel_id": "28339591"}, {"ref": "obinna11/titanic-machine-learning", "kernel_id": "28150188"}, {"ref": "hirunkulphimsiri/whodied-simple-data-analysis-forest-fill-mean", "kernel_id": "28769592"}, {"ref": "harunerkambali/titanic-eda-for-education", "kernel_id": "28790877"}, {"ref": "lusfernandotorres/titanic-ml-competition-with-pyspark", "kernel_id": "28989025"}, {"ref": "sandragracenelson/titanic-dataset-prediction", "kernel_id": "28768312"}, {"ref": "adityarawat0701/titanic-with-eda-xgboost-and-kfold", "kernel_id": "28755337"}, {"ref": "bhaveshvss/titanic-machinelearning-prediction", "kernel_id": "28799511"}, {"ref": "prukmangadareddy/titanic-disaster", "kernel_id": "28961111"}, {"ref": "hossamadel/titanic-hossam-adel", "kernel_id": "28826986"}, {"ref": "mohamedazizabidi/titanic", "kernel_id": "28462091"}, {"ref": "woohyeokkang/zzolab-first", "kernel_id": "28793482"}, {"ref": "kevinzhou24/changed-from-logistic-to-svm", "kernel_id": "28133721"}, {"ref": "ahmedehsan/titanic-ahmed-ehsan", "kernel_id": "28230941"}, {"ref": "jofaval/titanic-disaster-machine-learning-predictions", "kernel_id": "28318276"}, {"ref": "yulimjin/titanic-my-second-data-analysis", "kernel_id": "28505502"}, {"ref": "vandittyagi0909/xg-boost-titanic-dataset", "kernel_id": "28033673"}, {"ref": "melonpasta/data-visualization-titanic", "kernel_id": "28083931"}, {"ref": "nabilajahan/titanic", "kernel_id": "28130606"}, {"ref": "nabilajahan/exercise-arithmetic-and-variables", "kernel_id": "28002035"}, {"ref": "guillermovs/titanic-randomforest-gridsearch-and-cvalidation", "kernel_id": "28121285"}, {"ref": "guillermovs/titanic-simple-randomforest-model", "kernel_id": "28145081"}, {"ref": "sajeevyadav/predictive-analysis", "kernel_id": "28665210"}, {"ref": "gadigevishalsai/titanic-eda-classification-kernel-svm", "kernel_id": "28626016"}, {"ref": "jctellez/20220619-titanic-tellez", "kernel_id": "28070710"}, {"ref": "abdo977/titanic-notebook", "kernel_id": "28248851"}, {"ref": "sanjivthapa/titanic-prediction", "kernel_id": "28032588"}, {"ref": "devanshjpg/sixth-seventh-try", "kernel_id": "28825943"}, {"ref": "andls555/titanic-eda-for-absolute-beginners", "kernel_id": "28565697"}, {"ref": "itsamer/titanium-titanic-explained", "kernel_id": "28830528"}, {"ref": "kowkuriashwini/titanic", "kernel_id": "28632231"}, {"ref": "aloychow/titanic-svm-and-logistic-regression", "kernel_id": "28522732"}, {"ref": "sourakantighosh/pyspark-implementation-for-logistic-regression", "kernel_id": "28697748"}, {"ref": "ericknst/titanic", "kernel_id": "28353216"}, {"ref": "melihmetecop/titanic-dataset-review-using-lightgbm", "kernel_id": "28246780"}, {"ref": "rafaelmayer8/fork-of-titanic-surv-predictions", "kernel_id": "28912060"}, {"ref": "juanmcamposquintana/jcq-titanic-challenge", "kernel_id": "28375447"}, {"ref": "luccagodoy/titanic", "kernel_id": "28280385"}, {"ref": "amazing981/titanic-machine-learning-from-disaster", "kernel_id": "28707871"}, {"ref": "ebrukrkkay/rms-titanic-eda", "kernel_id": "28384408"}, {"ref": "andrewrichter/studying-before-test", "kernel_id": "28102850"}, {"ref": "ankitaarvinddeshmukh/titanicsurvivalprediction", "kernel_id": "28188189"}, {"ref": "zwqer2345/titantic-prediction", "kernel_id": "28825214"}, {"ref": "ashutoshvaidya/titanic-prediction", "kernel_id": "28441280"}, {"ref": "amirhosainmahdiani/titanic-deep-learning", "kernel_id": "28355917"}, {"ref": "qwertyuioplain/titanic-testbypytorch", "kernel_id": "28203395"}, {"ref": "nishathakkar/titanic-survival-eda-and-model", "kernel_id": "28195575"}, {"ref": "rumbleftw/detailed-eda-with-analysis-of-meta-models", "kernel_id": "28772553"}, {"ref": "rumbleftw/titanic-dataset-logistic-regression-tensorflow", "kernel_id": "28409092"}, {"ref": "gajnaselvi/titanic", "kernel_id": "28178616"}, {"ref": "eslamelsheikh/eda-ml", "kernel_id": "28796347"}, {"ref": "yxdj2022/simple-but-effective-prediction-randomforest", "kernel_id": "28137059"}, {"ref": "yaashiii/titanic-disaster-file", "kernel_id": "28148940"}, {"ref": "shaileshgoku/getting-started-with-titanic", "kernel_id": "28411279"}, {"ref": "lhantasber/notebook-zqk", "kernel_id": "28270096"}, {"ref": "michalgnacik/titanic-randomforest", "kernel_id": "28458240"}, {"ref": "saranyasudhakar/titanic", "kernel_id": "28361361"}, {"ref": "vijaykumar007/titanic-dataset-analysis", "kernel_id": "28477951"}, {"ref": "hernanjoa7/titanic-pipeline-gradientx", "kernel_id": "28697854"}, {"ref": "abhayparashar31/feature-engineering-handling-missing-values", "kernel_id": "28016885"}, {"ref": "deepakvk18/titanic-survival-prediction", "kernel_id": "28013494"}, {"ref": "edutechalexlee/ch0-titanic-basic-solution-using-randomforest", "kernel_id": "28609709"}, {"ref": "bradhammond/titanic-ml-project", "kernel_id": "28051790"}, {"ref": "igorkocic/titanic-survival-prediciton-competition", "kernel_id": "28360534"}, {"ref": "jonathanma02/titanic-dataset", "kernel_id": "28025163"}, {"ref": "muleatharva/titanic-survival-prediction", "kernel_id": "28085154"}, {"ref": "arnabdey2001/titanic-machine-learning-logistic-regression", "kernel_id": "28065036"}, {"ref": "jasperang/0-78229-accuracy-using-random-forest", "kernel_id": "28817494"}, {"ref": "godwinnwalozie/mazi-titanic-wreck-prediction", "kernel_id": "28416420"}, {"ref": "esmeraldahaggard/titanic", "kernel_id": "28644493"}, {"ref": "manojmholagi/notebookb17b2db648", "kernel_id": "28477953"}, {"ref": "wooglow/titanic-ml", "kernel_id": "28373153"}, {"ref": "juanillaberia/titanic-survival-prediction", "kernel_id": "28954665"}, {"ref": "muhammadanas0716/titanic-dataset-analysis", "kernel_id": "28277060"}, {"ref": "rushikeshdane20/software-professional-salary-interactive-dashboard", "kernel_id": "28385281"}, {"ref": "salarjammo/eda-and-ml-project", "kernel_id": "28733479"}, {"ref": "pedrovinciusmeerholz/titanic-data-visualization-and-pre-processing", "kernel_id": "28788378"}, {"ref": "vinaysharmaml/exercise-arithmetic-and-variables", "kernel_id": "28617285"}, {"ref": "askpritamsarkar/getting-started-with-titanic", "kernel_id": "28227616"}, {"ref": "sevgireyhani/ayanlicalismaprojesi", "kernel_id": "28707865"}, {"ref": "furkankarama22/furkan-t-tan-c", "kernel_id": "28260908"}, {"ref": "hamzamazzah/titanic-a-beginner-s-guide-to-ml-scikit-learn", "kernel_id": "28149372"}, {"ref": "cyb3rf0x/titanic-solution", "kernel_id": "28027685"}, {"ref": "smorika/improve-score-from-0-75119-with-lightgbm", "kernel_id": "28795136"}, {"ref": "yinanli1001/titanic-ensemble-learning", "kernel_id": "28007039"}, {"ref": "akashkotal/titanic-various-machine-learning-model", "kernel_id": "28664349"}, {"ref": "vaibhavgupta21525/titanic-disaster-eda-gridsearchcv", "kernel_id": "28844495"}, {"ref": "juanmatienzo/juan-jos-nava-matienzo-proyecto-integrador", "kernel_id": "28135828"}, {"ref": "gustavosantanav/proyecto-integrador-gustavo-santana", "kernel_id": "28138619"}, {"ref": "yoselinperezramirez/proyecto-integrador-yoselin-ivette-perez-ramirez", "kernel_id": "28220539"}, {"ref": "sheyaplascencia/mccd-proped-utico-proyecto-integrador", "kernel_id": "28225952"}, {"ref": "zhangshuming/notebook8e21204a48", "kernel_id": "28202446"}, {"ref": "sammckinven/mck-titanic-2", "kernel_id": "28263346"}, {"ref": "takakishi/notebook5d68b0e576", "kernel_id": "28204146"}, {"ref": "rishabhkmr/basic-eda-commands-for-beginners", "kernel_id": "28247704"}, {"ref": "rishabhkmr/scikit-learn-svm-understanding-the-concept", "kernel_id": "28281432"}, {"ref": "kaiquesotnas/titanic-rvore-de-decis-o", "kernel_id": "28542259"}, {"ref": "aycapolat/titanic-dataset-pred-linear-reg", "kernel_id": "28845436"}, {"ref": "ilaydaaydogan/titanic-machine-learning-from-disaster", "kernel_id": "28352507"}, {"ref": "muthukumaran18/titanic-predictions", "kernel_id": "28112768"}, {"ref": "ltrahul/feature-engineering-using-pipeline-on-titanic-data", "kernel_id": "28289882"}, {"ref": "tamakoto/aidemy-titanic", "kernel_id": "28336042"}, {"ref": "tamakoto/3-2-2-5", "kernel_id": "28611870"}, {"ref": "chelly219/r-3-1-3", "kernel_id": "28166183"}, {"ref": "chelly219/r-t2-1-titanic", "kernel_id": "28036613"}, {"ref": "cocorin/my-frist-data-analyisis-for-titanic", "kernel_id": "28268789"}, {"ref": "cocorin/yh-cur-eda-to-prediction-dietanic", "kernel_id": "28295973"}, {"ref": "cocorin/yh-cur-titanic-top-4-with-ensemble-modeling", "kernel_id": "28372833"}, {"ref": "cocorin/yh-cur-ensembling-stacking-in-python", "kernel_id": "28446520"}, {"ref": "grachelrodber/pruebatitanicrachelrodriguez", "kernel_id": "28223293"}, {"ref": "peterkeszthelyi/titanic-gridsearchcv-with-multiple-models", "kernel_id": "28065565"}, {"ref": "sathyanarayanrao89/factor-analysis-and-svm-predictions", "kernel_id": "28033309"}, {"ref": "osamaafifi/notebook5021255c69", "kernel_id": "28230388"}, {"ref": "thedevastator/cheating-partners-on-the-titanic-crazy-fe", "kernel_id": "28095646"}, {"ref": "swagata14das/titanic-survival-prediction", "kernel_id": "28906251"}, {"ref": "bilalsuppal/exercise-arithmetic-and-variables", "kernel_id": "28799307"}, {"ref": "marwanghouma/titanic-simple-solution", "kernel_id": "28458662"}, {"ref": "ankushramlalnaik/titanic-predict", "kernel_id": "28048889"}, {"ref": "luan1krk/solving-titanic-as-a-beginner", "kernel_id": "28368011"}, {"ref": "kinnerakiran/neural-network-basic-model", "kernel_id": "28449545"}, {"ref": "viktortaran/a-titanic-model", "kernel_id": "28633568"}, {"ref": "hootielander/titanic-my-first-kaggle-project", "kernel_id": "28065876"}, {"ref": "kagevo/titanic", "kernel_id": "28825461"}, {"ref": "sampatracharya/analytical-information-systems-project-1-titanic", "kernel_id": "28431379"}, {"ref": "kevinmorgado/titanic-eda-and-feature-engineering", "kernel_id": "28934212"}, {"ref": "aarongan3/titanic-aaron-g", "kernel_id": "28048587"}, {"ref": "naveensenthilkumar/titanic-survival-prediction", "kernel_id": "28791233"}, {"ref": "sinchanakarnik12/titanic-disaster-survival-prediction", "kernel_id": "28024411"}, {"ref": "xeedxendrome/titanickelodeon", "kernel_id": "28814457"}, {"ref": "corazon17/titanic-data-analysis-and-classification", "kernel_id": "28326729"}, {"ref": "aniruthsundararajan/entire-implementation-of-titanic-dataset", "kernel_id": "28382976"}, {"ref": "sarthmirashi07/titanic-voting-classifier", "kernel_id": "28779107"}, {"ref": "smjishanulislam/notebookfb458b776f", "kernel_id": "28257072"}, {"ref": "suzukifelipe/titanic-applying-gbclassifier-and-gridsearch", "kernel_id": "28056820"}, {"ref": "suzukifelipe/how-to-be-a-top-lb-explained-for-beginners", "kernel_id": "28395629"}, {"ref": "ryhime/titanic", "kernel_id": "28260002"}, {"ref": "busesaricayir/titanik-eda", "kernel_id": "28946832"}, {"ref": "esmanuralican/titanik-eda", "kernel_id": "28843878"}, {"ref": "drgregoryj/save-the-people-iceburg", "kernel_id": "28932652"}, {"ref": "sabinlee/titanic-with-decisiontree-and-randomforest", "kernel_id": "28014626"}, {"ref": "jeewanthiwijesinghe/getting-started-with-titanic", "kernel_id": "28198090"}, {"ref": "ahmedibrahimeldesoky/iti-ahmed-ibrahim", "kernel_id": "28229341"}, {"ref": "sknrkaggle/notebooke1f7752354", "kernel_id": "28375923"}, {"ref": "kaggle0928/notebook3b68be4eb7", "kernel_id": "28362317"}, {"ref": "takahiro1027/notebook-titanic", "kernel_id": "28202370"}, {"ref": "okusakakenshin/notebookc56a22cbf6", "kernel_id": "28276681"}, {"ref": "aal000/notebooktitanic", "kernel_id": "28202963"}, {"ref": "meowcats/notebook3a90547db1", "kernel_id": "28268672"}, {"ref": "mukaidata/notebook614947abb4", "kernel_id": "28203091"}, {"ref": "marikonamba/notebookad2113a2ab", "kernel_id": "28017988"}, {"ref": "rikasaito/notebookc1cbc1159f", "kernel_id": "28270537"}, {"ref": "engineerharoon/titanic-with-random-forest-and-logistic-regression", "kernel_id": "28464107"}, {"ref": "khatarnum1/titanic-disaster-prediction", "kernel_id": "28908229"}, {"ref": "fumiwa/shoutest", "kernel_id": "28205130"}, {"ref": "fimlaboratory/notebook7f3db28a5e", "kernel_id": "28273570"}, {"ref": "doniasalheen/notebook8c3d03bd8a", "kernel_id": "28253422"}, {"ref": "amrboghdady74/titanic-full-analysis", "kernel_id": "28106231"}, {"ref": "koban2/notebook31ad44cf9d", "kernel_id": "28203428"}, {"ref": "akari01/notebookfaf9046b61", "kernel_id": "28277280"}, {"ref": "ahmedramadanali/notebooke40b538b8f", "kernel_id": "28229817"}, {"ref": "nashwanassar/classification-demo1", "kernel_id": "28228758"}, {"ref": "souhityakundu/titanic-s-voyage", "kernel_id": "28130703"}, {"ref": "ao1216/titanic", "kernel_id": "28078734"}, {"ref": "anwithakumbham/notebookd5a54ffe71", "kernel_id": "28082065"}, {"ref": "kazukiisogai/notebook0b67c976f2", "kernel_id": "28273564"}, {"ref": "hashimoto22/notebook8ef2afb64e", "kernel_id": "28295439"}, {"ref": "kanagawa1999/notebookfbab04a334", "kernel_id": "28291542"}, {"ref": "sakaiyoshimi/titanic-draft", "kernel_id": "28150699"}, {"ref": "andrey98/andrey98", "kernel_id": "28428453"}, {"ref": "scintillator/notebook4cb86cd80b", "kernel_id": "28266336"}, {"ref": "akuakawakami/notebook55f7d5c730", "kernel_id": "28373933"}, {"ref": "realme333/notebook6625d5cc51", "kernel_id": "28428970"}, {"ref": "realme333/notebookbb99f3f0bd", "kernel_id": "28435196"}, {"ref": "advaypatil/titanic-competition-top-9", "kernel_id": "28916454"}, {"ref": "kouichimurakami/notebook425d94e8eb", "kernel_id": "28244736"}, {"ref": "take9991/notebook84b5e47526", "kernel_id": "28204259"}, {"ref": "htether/notebook0aea12c5f4", "kernel_id": "28282831"}, {"ref": "toudaiji/notebookdab8a8b441", "kernel_id": "28204312"}, {"ref": "toudaiji/notebook7328553e8f", "kernel_id": "28202493"}, {"ref": "y618270/notebook698abf13f3", "kernel_id": "28202899"}, {"ref": "y618270/notebookf6512dbdb3", "kernel_id": "28350937"}, {"ref": "daniilvoynov/notebook607974e96d", "kernel_id": "28360675"}, {"ref": "daniilvoynov/notebookaf20259d88", "kernel_id": "28410716"}, {"ref": "alinayukanova/notebook3259f89505", "kernel_id": "28415263"}, {"ref": "hkurita/notebooka3171fc09f", "kernel_id": "28272790"}, {"ref": "ankitaanand28/titanic-machine-learning-80-acccuracy", "kernel_id": "28485352"}, {"ref": "arkgrape800/notebookc8ca84a309", "kernel_id": "28193831"}, {"ref": "hondatsuyoshi/notebook00fda1d1eb", "kernel_id": "28351326"}, {"ref": "mrotoi/notebook1411dc0d8e", "kernel_id": "28203596"}, {"ref": "fji2022/notebook269e29bf11", "kernel_id": "28202116"}, {"ref": "helloworldjp/notebook65a42af3f6", "kernel_id": "28376051"}, {"ref": "seikekoshi/notebook0708d83fa8", "kernel_id": "28205524"}, {"ref": "ryutatanigawa/notebook0f45c2fb9c", "kernel_id": "28144693"}, {"ref": "nurfatihahbintirosli/titanic01", "kernel_id": "28365006"}, {"ref": "iaggle/notebook84a434f59a", "kernel_id": "28297884"}, {"ref": "andrepardal/titanic-disaster-who-died", "kernel_id": "28516579"}, {"ref": "alinasulimovskaja/sulimovskaya-a", "kernel_id": "28466553"}, {"ref": "nataliagerasimenko/notebooke0f37c9591", "kernel_id": "28421916"}, {"ref": "nataliagerasimenko/notebook922bab4143", "kernel_id": "28413083"}, {"ref": "nataliagerasimenko/notebook87dcc0ed96", "kernel_id": "28444332"}, {"ref": "nataliagerasimenko/notebook6375d728c6", "kernel_id": "28446550"}, {"ref": "vadimsavickii/notebook688d9627e9", "kernel_id": "28436746"}, {"ref": "evguuun/notebook40de8bc6cd", "kernel_id": "28450104"}, {"ref": "sryutaroh/notebook65166a7b58", "kernel_id": "28202133"}, {"ref": "se2501/notebooke255936331", "kernel_id": "28327391"}, {"ref": "kjknltdr/notebook6c602c4d59", "kernel_id": "28172890"}, {"ref": "uchiyamatomoki/notebookbdd8136508", "kernel_id": "28202741"}, {"ref": "twosloth/notebookd53f25d22e", "kernel_id": "28354226"}, {"ref": "okamotom/titanic-okamoto1", "kernel_id": "28287916"}, {"ref": "kumachankumachan/notebook10c748d953", "kernel_id": "28365110"}, {"ref": "saichanmaru/notebook7ec5a67c42", "kernel_id": "28203592"}, {"ref": "kokuryu/notebookd00bcf0681", "kernel_id": "28377426"}, {"ref": "kokuryu/data-science-file", "kernel_id": "28354690"}, {"ref": "katep7/notebook15a65f4f35", "kernel_id": "28459811"}, {"ref": "tkkrkkt/titanic-mlfd-tkkrkkt", "kernel_id": "28359887"}, {"ref": "quintquint/notebook620471df85", "kernel_id": "28326992"}, {"ref": "kiharamiho/notebookc1e226f9c9", "kernel_id": "28248874"}, {"ref": "kiharamiho/notebookc911c09f97", "kernel_id": "28251186"}, {"ref": "asahikireaji/notebookf5b834696c", "kernel_id": "28355135"}, {"ref": "ikehina/dclass-2022-0630", "kernel_id": "28357023"}, {"ref": "k666a1/notebook9db09f4daa", "kernel_id": "28203130"}, {"ref": "yoshikawamasaki/notebook84ea3fa6b8", "kernel_id": "28373759"}, {"ref": "asdlafkjajka/titanic-demo", "kernel_id": "28366291"}, {"ref": "iwmtku/notebook7b8204f000", "kernel_id": "28231423"}, {"ref": "iwmtku/notebook4a2bb7869d", "kernel_id": "28227146"}, {"ref": "guentoran/notebookdc1011cb4c", "kernel_id": "28203103"}, {"ref": "kazu0510/notebook783da993e8", "kernel_id": "28201037"}, {"ref": "takagitakumi/notebook64b722cb27", "kernel_id": "28202915"}, {"ref": "chokochip/notebookf5679f14ca", "kernel_id": "28202381"}, {"ref": "siratamasiru/notebook89af0b3ae9", "kernel_id": "28280470"}, {"ref": "hiranokosei/notebook5af5d24342", "kernel_id": "28299703"}, {"ref": "tachibanasann/notebookcc68144aa8", "kernel_id": "28357758"}, {"ref": "maekawataiki/notebook2fdd6130fa", "kernel_id": "28200987"}, {"ref": "maekawataiki/notebooke00f5d9e94", "kernel_id": "28205379"}, {"ref": "kaggle38338/notebookfbdf2340c2", "kernel_id": "28374558"}, {"ref": "zustoy/notebookb58828eb43", "kernel_id": "28202455"}, {"ref": "ryotaokamoto/notebook705e1401a8", "kernel_id": "28205272"}, {"ref": "ryotaokamoto/notebook425d94e8eb", "kernel_id": "28299149"}, {"ref": "ryotaokamoto/notebookc71576b741", "kernel_id": "28326947"}, {"ref": "rinnetowa/notebookbf41cef407", "kernel_id": "28292562"}, {"ref": "teruendo/notebook5c7688a59e", "kernel_id": "28330721"}, {"ref": "kariyama/notebook17a09db47b", "kernel_id": "28376527"}, {"ref": "toyoshimakento/notebookb8230c7e30", "kernel_id": "28202755"}, {"ref": "hsiehyiju/notebook07cc2afbb0", "kernel_id": "28200318"}, {"ref": "ft5678/notebook47328afb8c", "kernel_id": "28322781"}, {"ref": "daichikawahara/notebookef180cec30", "kernel_id": "28374158"}, {"ref": "d1224468110/notebook1f103e0611", "kernel_id": "28378169"}, {"ref": "tokoroshunichi/notebook7bcfa7fe8d", "kernel_id": "28355280"}, {"ref": "tamakitomohiro/notebookd2cd02fd6f", "kernel_id": "28357663"}, {"ref": "esp543/notebooka942ef1d36", "kernel_id": "28294142"}, {"ref": "gold0723/notebook84388f9492", "kernel_id": "28200979"}, {"ref": "yuyakodama/notebook7eb23fc93c", "kernel_id": "28375528"}, {"ref": "kentatoku/titanic", "kernel_id": "28359461"}, {"ref": "msygunners/notebook1006af5e07", "kernel_id": "28294094"}, {"ref": "tokudainissun/notebook65211494bc", "kernel_id": "28294696"}, {"ref": "kobayashichihiro/notebook6a9ed81e50", "kernel_id": "28202919"}, {"ref": "thihakai/notebook5fe5f26e9c", "kernel_id": "28373872"}, {"ref": "hataremma/notebookd3dcf4c37ehata", "kernel_id": "28215017"}, {"ref": "kinnikun/notebookf4a9b189fc", "kernel_id": "28352712"}, {"ref": "akamakigami/notebook89dc68b4ac", "kernel_id": "28273805"}, {"ref": "tatsuyamiki/notebook427f6a6025", "kernel_id": "28374605"}, {"ref": "suzuk1/notebook4e370ddff2", "kernel_id": "28329184"}, {"ref": "lihaohsiao/notebook7f3537cf47", "kernel_id": "28203376"}, {"ref": "katomu/notebookafdc950520", "kernel_id": "28202558"}, {"ref": "nisiinaomiti/notebookdc4e040b6a", "kernel_id": "28375542"}, {"ref": "tes2222/notebookaf0311ea43", "kernel_id": "28202661"}, {"ref": "lagoon1234/notebookb7170327d9", "kernel_id": "28202376"}, {"ref": "fumisumida/notebookc7bbfdba42", "kernel_id": "28269329"}, {"ref": "groundbird/notebookc4d2ca60bc", "kernel_id": "28292044"}, {"ref": "kojiminami/notebook155546676a", "kernel_id": "28348141"}, {"ref": "yukiwatawata/notebookaf06aeee37", "kernel_id": "28246739"}, {"ref": "shirase418/notebook28e160da4e", "kernel_id": "28202895"}, {"ref": "oooooi/notebookd3f177551e", "kernel_id": "28353884"}, {"ref": "kangaroo45/notebookc0cb356a3f", "kernel_id": "28297361"}, {"ref": "protein20g/notebook9bbc67ee0b", "kernel_id": "28354764"}, {"ref": "kuggleizu/notebook3bf6479cbd", "kernel_id": "28266346"}, {"ref": "harataku/notebook4be9ba21eb", "kernel_id": "28203512"}, {"ref": "ishidataiga/notebook747b43e3de", "kernel_id": "28375631"}, {"ref": "hdaiki/notebook223ac05b24", "kernel_id": "28301290"}, {"ref": "sano1308/notebook8f4c25d969", "kernel_id": "28203253"}, {"ref": "ichigo1415/notebookddfa9abcb3", "kernel_id": "28366070"}, {"ref": "tanisi/notebook5aabaf1d6f", "kernel_id": "28203617"}, {"ref": "kai612/notebook368feaa8c6", "kernel_id": "28354910"}, {"ref": "reinakanishi/notebook06d8481819", "kernel_id": "28202405"}, {"ref": "knotting/notebookfd9ee3b208", "kernel_id": "28203675"}, {"ref": "jgmsk3082/notebook99c4be5d7e", "kernel_id": "28202964"}, {"ref": "yukitada/notebook03a91d9b76", "kernel_id": "28203100"}, {"ref": "kamikiami/notebook89ccb3642c", "kernel_id": "28204443"}, {"ref": "tomokikikugawa/notebooka13c5ee8dc", "kernel_id": "28202407"}, {"ref": "hayashii/notebook-titanic", "kernel_id": "28202869"}, {"ref": "mizukitsuchiga/notebook0ac9867b9e", "kernel_id": "28351311"}, {"ref": "daikikashihara/notebookf2889a5e3f", "kernel_id": "28202879"}, {"ref": "kitahama1/notebookd76a5509ae", "kernel_id": "28374918"}, {"ref": "hakataharuki/notebookfcb6e5d9ab", "kernel_id": "28351849"}, {"ref": "shunsukemaxnakashima/notebook0f7faaa40e", "kernel_id": "28203454"}, {"ref": "kawaharada/notebookf9400505fd", "kernel_id": "28203005"}, {"ref": "makitaryuki/notebook73293d0324", "kernel_id": "28203022"}, {"ref": "nagurayuki/notebookea3c9ff794", "kernel_id": "28203388"}, {"ref": "yutagotoh/notebook736a53a254", "kernel_id": "28203260"}, {"ref": "nakanishikazuki/notebook7475505465", "kernel_id": "28203331"}, {"ref": "tokiyaoe/notebook97fe44925a", "kernel_id": "28203026"}, {"ref": "yutonakaiyutonakai/notebookf19f1b9fd0", "kernel_id": "28203200"}, {"ref": "kikaikagakucourse/notebook020f718a9e", "kernel_id": "28203294"}, {"ref": "hirasawayuki/notebook19833ffb21", "kernel_id": "28203408"}, {"ref": "takatonaito/notebookba04236d13", "kernel_id": "28203313"}, {"ref": "shinyaritsuki/notebook15b4af3e3f", "kernel_id": "28203118"}, {"ref": "kaki723/notebookc71d76cf4f", "kernel_id": "28337784"}, {"ref": "tamurayui/notebookf0cfedd0e4", "kernel_id": "28203337"}, {"ref": "ozawarena/notebook76308a41dd", "kernel_id": "28203336"}, {"ref": "ryotaiwaski2022/notebook4d12417047", "kernel_id": "28203409"}, {"ref": "inouekeisuke/notebook951a86715d", "kernel_id": "28322192"}, {"ref": "shintanimiwa/notebook6bc807afdd", "kernel_id": "28368257"}, {"ref": "atsushitomita/notebookfb0611b6d4", "kernel_id": "28204162"}, {"ref": "kusakatomoki2/notebook3cadd5ef3a", "kernel_id": "28204076"}, {"ref": "nagaeryotaro/notebook0847b42115", "kernel_id": "28308778"}, {"ref": "kokikoyanagi/notebook4f48a52a80", "kernel_id": "28330135"}, {"ref": "shonoriku/notebook1c600fabe1", "kernel_id": "28205209"}, {"ref": "takutakutakutaku/notebook773ed38eab", "kernel_id": "28273621"}, {"ref": "takahisaiwaki/notebook04da396310", "kernel_id": "28348576"}, {"ref": "ooshizu/notebook3686eb6d6b", "kernel_id": "28319168"}, {"ref": "kyosuke701/notebook7457a0e6e8", "kernel_id": "28207856"}, {"ref": "mountain1250/notebook1-mountain-titanic", "kernel_id": "28208872"}, {"ref": "kinsho55/notebook7155a7c418", "kernel_id": "28211089"}, {"ref": "yichaoliu/001-titanic-survival", "kernel_id": "28217481"}, {"ref": "kazutoshindo/notebook506075352c", "kernel_id": "28225032"}, {"ref": "midas26/titanic-survivor-prediction", "kernel_id": "28341536"}, {"ref": "okubirakifumihiro/notebook9b1a7fae1e", "kernel_id": "28235134"}, {"ref": "chikakanda/notebook05f36469ad", "kernel_id": "28237047"}, {"ref": "xodeum/titanic-survival", "kernel_id": "28295124"}, {"ref": "fauzan1994/kelompok-2", "kernel_id": "28278419"}, {"ref": "yitingyiting/notebook1aa54c7211", "kernel_id": "28292695"}, {"ref": "kagglemaho/notebookc53d87666d", "kernel_id": "28266381"}, {"ref": "smasta/notebooka62cb6a40b", "kernel_id": "28351125"}, {"ref": "ryotakai/notebook2844500855", "kernel_id": "28273522"}, {"ref": "wang45345/notebook49310d3145", "kernel_id": "28277000"}, {"ref": "onokentaro/notebook85fdae1196", "kernel_id": "28293062"}, {"ref": "firstclassarchitect/notebookeee05472e7", "kernel_id": "28281490"}, {"ref": "taketoyamada3/kernel726d228659", "kernel_id": "28289804"}, {"ref": "rawatshiv/feature-engineering-and-linear-classifcation", "kernel_id": "28306264"}, {"ref": "daikimori5131/notebook05eba4a648", "kernel_id": "28375426"}, {"ref": "shimazaki/notebook79051fed49", "kernel_id": "28293790"}, {"ref": "ykmiffy/notebookeb007e274c", "kernel_id": "28296208"}, {"ref": "risauegaki/notebook76dd3cb97f", "kernel_id": "28296654"}, {"ref": "yoshiokayuki/notebook5cc609908c", "kernel_id": "28321663"}, {"ref": "linhungchun/notebook425d94e8eb", "kernel_id": "28297715"}, {"ref": "joecallow/titanic", "kernel_id": "28302885"}, {"ref": "sohwatanabe/notebookcadf2d5ede", "kernel_id": "28364335"}, {"ref": "fukamishota/notebook1d2958e5ed", "kernel_id": "28301133"}, {"ref": "aoking/notebook8fd6572ef7", "kernel_id": "28325052"}, {"ref": "hamzayj/titanic-ml", "kernel_id": "28452058"}, {"ref": "umemoto/notebookcedc0acab7", "kernel_id": "28309501"}, {"ref": "kei1980/notebookf800f0faf2", "kernel_id": "28319587"}, {"ref": "kentofukuta/notebooka45bc25a87", "kernel_id": "28321012"}, {"ref": "kagglekuro131/notebooke77fd94c92", "kernel_id": "28324507"}, {"ref": "idzharulhuda13/titanic-svm", "kernel_id": "28769508"}, {"ref": "yusukemoriaaa/notebook917d602b11", "kernel_id": "28322167"}, {"ref": "izuharahideyuki/notebookaf4313aeae", "kernel_id": "28322867"}, {"ref": "hf8810/notebook7e1150bfdf", "kernel_id": "28323239"}, {"ref": "nomsaki/notebook082cd2d891", "kernel_id": "28352576"}, {"ref": "kensakuminemoto/notebookef3af9e9e7", "kernel_id": "28323322"}, {"ref": "kotonekubo/notebook8b7bfab727", "kernel_id": "28334929"}, {"ref": "sakamototatsuya/notebookee10ed4ad0", "kernel_id": "28326189"}, {"ref": "otsukiryo/notebookfd828b3823", "kernel_id": "28326418"}, {"ref": "otsukiryo/notebook425d94e8eb", "kernel_id": "28327691"}, {"ref": "c612231004/notebook4c2d71e10f", "kernel_id": "28327286"}, {"ref": "yamashitasonoka/notebookbd47010cdc", "kernel_id": "28328137"}, {"ref": "taichinishimura/notebookcbcad26224", "kernel_id": "28374114"}, {"ref": "naoki1115/notebook764c5e48b8", "kernel_id": "28349649"}, {"ref": "naoki1115/notebook2670f47f0b", "kernel_id": "28331172"}, {"ref": "snoguchi3540/notebook1ef0315ad6", "kernel_id": "28332995"}, {"ref": "usagi1/notebook5cc4646b0a", "kernel_id": "28336831"}, {"ref": "fujitasakura/notebookef79a348ce", "kernel_id": "28336380"}, {"ref": "sota0606/notebook24a531f850", "kernel_id": "28337126"}, {"ref": "nnookiri/notebooka91ed8bd00", "kernel_id": "28337163"}, {"ref": "soranishioka/notebook75e3eac7f7", "kernel_id": "28337696"}, {"ref": "ymdkik/notebookda0aa6c723", "kernel_id": "28339121"}, {"ref": "maedashio/notebook19c5c66248", "kernel_id": "28347838"}, {"ref": "palasik123/notebookb97ee81f52", "kernel_id": "28459219"}, {"ref": "marukawashumpei/notebook3b28760cc2", "kernel_id": "28372178"}, {"ref": "harutokatayama/notebookadf89ea19e", "kernel_id": "28373311"}, {"ref": "nagisahotta/notebook7568a8b363", "kernel_id": "28376815"}, {"ref": "satohmichi/notebook4aed259e77", "kernel_id": "28348880"}, {"ref": "tokai0629/notebookb9af200a2d", "kernel_id": "28349855"}, {"ref": "onoyuya/notebookb702b34338", "kernel_id": "28354151"}, {"ref": "kogareon/notebook15e665b77c", "kernel_id": "28350880"}, {"ref": "hideyoyokome/notebook22a8d3c52d", "kernel_id": "28355051"}, {"ref": "katayamashota/notebook01340ce218", "kernel_id": "28356963"}, {"ref": "kkkkkaaaa/notebook27d25d2e57", "kernel_id": "28351602"}, {"ref": "nagahiromai/notebookcc072e36e5", "kernel_id": "28351603"}, {"ref": "hasuoka/notebookc86296d076", "kernel_id": "28352186"}, {"ref": "kashitaniyutaro/notebook623c1e05a6", "kernel_id": "28351801"}, {"ref": "kennytakeuchi/notebook65c71701fc", "kernel_id": "28352541"}, {"ref": "yusukeutsumi/notebookdf496c905b", "kernel_id": "28352195"}, {"ref": "kiichiyamashita/notebook8c89220177", "kernel_id": "28375228"}, {"ref": "takuyaosaka/notebook99619f8b6b", "kernel_id": "28352768"}, {"ref": "keigosunagawa/notebook5b3c754b35", "kernel_id": "28353579"}, {"ref": "ryomayukawa/notebook08aec1eaee", "kernel_id": "28353998"}, {"ref": "weishuqin0425/notebookbccfcac113", "kernel_id": "28362832"}, {"ref": "mikihiroharada/notebook6c948997f9", "kernel_id": "28354676"}, {"ref": "jinkoshizawa/notebook42cc1b0248", "kernel_id": "28355529"}, {"ref": "tomokisakuma/notebook49b71b0d08", "kernel_id": "28355241"}, {"ref": "baimeiling9911/notebookeb2db332fc", "kernel_id": "28358779"}, {"ref": "motokiohi/notebook0dc2b8d83c", "kernel_id": "28356357"}, {"ref": "kwhr44/notebooka6bb6daba8", "kernel_id": "28356744"}, {"ref": "tobicoder/titanic-data-set", "kernel_id": "28683234"}, {"ref": "takaakiooka/notebookdb9e127732", "kernel_id": "28357532"}, {"ref": "watanabeken1101/notebook0db1dd24ec", "kernel_id": "28358765"}, {"ref": "eekimura/notebook4b31f8503d", "kernel_id": "28359983"}, {"ref": "taikitashoji/notebook8116bb298a", "kernel_id": "28360873"}, {"ref": "yamaara/notebookd74be0b5fd", "kernel_id": "28360735"}, {"ref": "damianpaluca/solving-titanic-dataset-with-naive-bayes", "kernel_id": "28414259"}, {"ref": "nagaiyosei/notebookd0e26606f4", "kernel_id": "28362625"}, {"ref": "iuruuru0510/notebook23f880f800", "kernel_id": "28364297"}, {"ref": "qinzixiong/notebook6cf22ee6be", "kernel_id": "28364600"}, {"ref": "taniguchitakuya/notebook0cf1a9fe9d", "kernel_id": "28364672"}, {"ref": "daiguihang/notebook988e2e084f", "kernel_id": "28365561"}, {"ref": "keigotakami/notebookdd32819e2b", "kernel_id": "28365631"}, {"ref": "ykoyomi/notebook87ee2be6f1", "kernel_id": "28374294"}, {"ref": "c612235003/notebookee5e63744e", "kernel_id": "28365837"}, {"ref": "takashimaayato/notebook097bc84741", "kernel_id": "28367635"}, {"ref": "eisukeohama/notebook5b77c4fcf7", "kernel_id": "28367829"}, {"ref": "katsumasanitta/notebook72f9b154ce", "kernel_id": "28372332"}, {"ref": "ryoheitakiguchi/notebook0041c46af3", "kernel_id": "28387617"}, {"ref": "choko1026/notebookd1a360f78b", "kernel_id": "28368260"}, {"ref": "eitohiroshima/notebookb5116214ae", "kernel_id": "28368381"}, {"ref": "chihayaasai/notebook7f0d613266", "kernel_id": "28372595"}, {"ref": "tatsukisogabe/notebookc79ee3591d", "kernel_id": "28375915"}, {"ref": "ksaika/notebook53649307f9", "kernel_id": "28373719"}, {"ref": "momokagoda/notebookfbf19e9327", "kernel_id": "28373794"}, {"ref": "naonaon/notebook4d3a44b283", "kernel_id": "28374308"}, {"ref": "nadatomoya/notebook81256189e8", "kernel_id": "28374181"}, {"ref": "somanaghara/notebookcd16eb5ed5", "kernel_id": "28375021"}, {"ref": "tsurusaki/notebookd658e74571", "kernel_id": "28374612"}, {"ref": "dainishioka/notebook4dd1740f27", "kernel_id": "28376088"}, {"ref": "n3473a/titanic", "kernel_id": "28375394"}, {"ref": "nomurariku/notebook96524fab4f", "kernel_id": "28377995"}, {"ref": "torowa6457/notebook72dd63cca4", "kernel_id": "28375438"}, {"ref": "shinnosukesuhara/notebook3a9a738f2e", "kernel_id": "28376593"}, {"ref": "kazu667/notebook14a1de4255", "kernel_id": "28375594"}, {"ref": "d44r7ehif/notebook9430aa7af9", "kernel_id": "28375830"}, {"ref": "maruyk/notebooka0ff0ea6ad", "kernel_id": "28376178"}, {"ref": "hiromasahonjo/notebook3e5d080e8f", "kernel_id": "28375998"}, {"ref": "zala528/notebook03a9a63201", "kernel_id": "28377255"}, {"ref": "motohara/notebook7ff38e59cd", "kernel_id": "28376343"}, {"ref": "hinatatakuto/notebook468b509fef", "kernel_id": "28377505"}, {"ref": "watarunagai56/notebooke68a0a1843", "kernel_id": "28377192"}, {"ref": "fujiokaraito/notebook093b1d4102", "kernel_id": "28376221"}, {"ref": "naohirookubo/kernel726d228659", "kernel_id": "28376957"}, {"ref": "c612235021/notebookd300118a83", "kernel_id": "28376575"}, {"ref": "murasemasaki/notebook8a916f100c", "kernel_id": "28376583"}, {"ref": "youheikawai/notebookba7209b95b", "kernel_id": "28376540"}, {"ref": "nwrktteko/notebooka926b4518a", "kernel_id": "28376899"}, {"ref": "shintaroryo/notebookef47896025", "kernel_id": "28376656"}, {"ref": "tomoyaokabe/notebookbeb0fe9185", "kernel_id": "28377165"}, {"ref": "kazukiyasufuku/notebook7d8514c471", "kernel_id": "28377183"}, {"ref": "tomohitoamano/notebooka1d6c66ca9", "kernel_id": "28377011"}, {"ref": "masakisaito888/notebook183490a957", "kernel_id": "28377311"}, {"ref": "zannen/kernel726d228659", "kernel_id": "28377826"}, {"ref": "akaishuta/notebook125ec5ec15", "kernel_id": "28377608"}, {"ref": "nknkit/notebook6d7fb0dbfa", "kernel_id": "28377611"}, {"ref": "mukairyoga/notebookf39d4d5de4", "kernel_id": "28377648"}, {"ref": "makaronex/notebook1c9bd3e026", "kernel_id": "28377735"}, {"ref": "kentanishikawa/notebook8ff1e642ca", "kernel_id": "28377775"}, {"ref": "williamc1998/eda-gradientboosting-top-7", "kernel_id": "28392577"}, {"ref": "aviral101/notebook57ac4c0a7c", "kernel_id": "28615375"}, {"ref": "ankityadav2411/exercise-arithmetic-and-variables", "kernel_id": "28417952"}, {"ref": "surihh/must-have-part01-04", "kernel_id": "28424093"}, {"ref": "muhammadtalharasool/easy-titanic-competition", "kernel_id": "28608746"}, {"ref": "rivimizuiro/python-kaggle-start-book-ch02-01", "kernel_id": "28436795"}, {"ref": "iamravi1/titanic-test", "kernel_id": "28703741"}, {"ref": "kyanichester/titanicalive", "kernel_id": "28640787"}, {"ref": "ehetshamshaukat/titanic-analysis-and-model", "kernel_id": "28899019"}, {"ref": "stackerrors/titanic-solution-stack-errors", "kernel_id": "28522003"}, {"ref": "umutsoylu/titanic-eda", "kernel_id": "28964098"}, {"ref": "pashadevacc/titanic-competition", "kernel_id": "28764645"}, {"ref": "ishrakeafaz/titanic-solution", "kernel_id": "28500687"}, {"ref": "yash0956/logisticregression-titanic-dataset", "kernel_id": "28796262"}, {"ref": "solomonyolo/titanic-wip", "kernel_id": "28640558"}, {"ref": "yingfu46/titanic-yingfu46", "kernel_id": "28563368"}, {"ref": "alexandrkolomijec/titanic-basic-solution", "kernel_id": "28535680"}, {"ref": "vincentchibuike/predicting-titanic-survival-with-svm", "kernel_id": "28591272"}, {"ref": "bdsnow/titanic-eda-basic-tree", "kernel_id": "28811439"}, {"ref": "nyonggu/eda-to-prediction-dietanic-nyonggu", "kernel_id": "28565368"}, {"ref": "taniguchiyoshiteru/fork-of-titanic-grysan2", "kernel_id": "28761387"}, {"ref": "dreamwalker2022/nuridal-0716", "kernel_id": "28795059"}, {"ref": "luging/notebook0709", "kernel_id": "28594896"}, {"ref": "cooljmlee/must-have-part01-04", "kernel_id": "28594994"}, {"ref": "hannnah2/notebook-220716-ch4", "kernel_id": "28594918"}, {"ref": "taoww21480/titanic", "kernel_id": "28597571"}, {"ref": "umjiyi/chapter-1-4", "kernel_id": "28747634"}, {"ref": "johndownny/notebook38b3693225", "kernel_id": "28618721"}, {"ref": "blakeswineford/titanic-detailed-beginner-walkthrough", "kernel_id": "28627553"}, {"ref": "ruthwikjavvadi/titanic-disaster-prediction", "kernel_id": "28919409"}, {"ref": "booleanwolf/imputation-outliers-and-hot-encoding", "kernel_id": "28699940"}, {"ref": "ashutoshsingh94/titanic-machine-learning-from-disaster", "kernel_id": "28985438"}, {"ref": "viniciusnalasantos/titanicalgoritm", "kernel_id": "28835263"}, {"ref": "hsyjammanbo/jammanbo-zzolab-1-4", "kernel_id": "28801165"}, {"ref": "salnikovairra/notebook51720bd10f", "kernel_id": "28831127"}, {"ref": "raheinlein/titanic-test", "kernel_id": "28839573"}, {"ref": "harishramisetty/exercise-arithmetic-and-variables", "kernel_id": "28928174"}, {"ref": "moambell/titanic-tensorflow", "kernel_id": "28852733"}, {"ref": "maheshmihir/titanic-tutorial", "kernel_id": "28911660"}, {"ref": "fahzafahmi/exercise-arithmetic-and-variables", "kernel_id": "28929777"}, {"ref": "ashu5436/titanic", "kernel_id": "28963224"}, {"ref": "anaderi/ml-models-code-from-scratch", "kernel_id": "29901255"}, {"ref": "isaacflath/fastkaggle", "kernel_id": "29697490"}, {"ref": "isaacflath/ez-kaggle", "kernel_id": "29941362"}, {"ref": "peorthrind/20220726-kklab-kaggle-tutorial-1-titanic", "kernel_id": "29088940"}, {"ref": "xiefei/titanic-tutorial", "kernel_id": "29262314"}, {"ref": "lperto/titanic-gau-ds-call-ii", "kernel_id": "29130248"}, {"ref": "shutoosawa/titanic-comp", "kernel_id": "29089711"}, {"ref": "ekasabrol/advanced-titanic-survival-prediction-with-xgboost", "kernel_id": "29745955"}, {"ref": "viniciusota147/data-study", "kernel_id": "29083056"}, {"ref": "emphymachine/scikit-learn-tutorial", "kernel_id": "29764008"}, {"ref": "tibbee/confusion-matrix-threshold", "kernel_id": "29922729"}, {"ref": "matheus489bd/analise-titanic", "kernel_id": "29493787"}, {"ref": "arnav04/titanic-prediction-arnav-munshi", "kernel_id": "29763413"}, {"ref": "gulfemisik97/titanic-competition", "kernel_id": "29333296"}, {"ref": "teddylee777/ml-day2-titanic", "kernel_id": "29896131"}, {"ref": "alembcke/titanic-multi-layer-perceptron-using-haiku-jax", "kernel_id": "29584736"}, {"ref": "gabrielnovaisgs/prevendo-as-mortes-do-titanic", "kernel_id": "29799655"}, {"ref": "rajmehra03/a-complete-pandas-tutorial", "kernel_id": "29549898"}, {"ref": "rajmehra03/a-complete-guide-to-numpy", "kernel_id": "29676871"}, {"ref": "rajmehra03/python-for-dsa-interviews", "kernel_id": "29728572"}, {"ref": "irajhedayati/titanic-competition", "kernel_id": "29576982"}, {"ref": "bhagwati/begineers-titanic-ml-from-disaster", "kernel_id": "29455258"}, {"ref": "immortalv5/titanic", "kernel_id": "29317884"}, {"ref": "deepaksirohiwal/titanic-0-75837-with-eda", "kernel_id": "29779901"}, {"ref": "jsvishnuj/ml-practice-1", "kernel_id": "29387401"}, {"ref": "deiryn/getting-started-with-pyspark-by-deiry", "kernel_id": "29491630"}, {"ref": "jerrylasama/kaggletitanictest", "kernel_id": "29555333"}, {"ref": "masaonda/how-to-transform-data-to-like-gaussian", "kernel_id": "29400445"}, {"ref": "masaonda/how-to-use-subplot-with-seaborn", "kernel_id": "29010956"}, {"ref": "shaulacrimal/titanic-eda-by-shaulacrima", "kernel_id": "29689352"}, {"ref": "santanusinp/titanic-prediction-score-0-78229", "kernel_id": "29960990"}, {"ref": "mauh974/titanic-simple", "kernel_id": "29563531"}, {"ref": "letslive/how-random-forests-really-work-titanic-spaceship", "kernel_id": "29917779"}, {"ref": "jns1406/titanic-survival-93-accuracy", "kernel_id": "29132790"}, {"ref": "phanee16/titanic-survival-male-or-female", "kernel_id": "29079643"}, {"ref": "yy123123/simple-eda-prediction", "kernel_id": "29498452"}, {"ref": "kiwo029/notebook24459187d4", "kernel_id": "29011221"}, {"ref": "fafinozzi/titanic-top-10-with-logistic-regression", "kernel_id": "29155020"}, {"ref": "fafinozzi/titanic-solution-with-decision-tree", "kernel_id": "29434486"}, {"ref": "fafinozzi/titanic-top-solution-with-random-forest", "kernel_id": "29558665"}, {"ref": "fafinozzi/titanic-solution-with-catbooster", "kernel_id": "29694745"}, {"ref": "iftikar24/titanic", "kernel_id": "29455790"}, {"ref": "derpmaiden/titanic-submission-using-xgboost-1st-sub", "kernel_id": "29575794"}, {"ref": "nisasoylu/short-look-for-titanic-dataset", "kernel_id": "29685767"}, {"ref": "konumaru/kaggle", "kernel_id": "29709527"}, {"ref": "amit1235813/titanic-artificial-neural-network-ann", "kernel_id": "29203959"}, {"ref": "dhruv1234/titanic-eda-and-modelling", "kernel_id": "29944135"}, {"ref": "mark18vii/intro-into-titanic-survivour-competition", "kernel_id": "29083883"}, {"ref": "vivekssm/titanic-data", "kernel_id": "29842648"}, {"ref": "josmyrose/titanic-dataset", "kernel_id": "29957591"}, {"ref": "vicsonsam/titanic-exploratory-data-analysis", "kernel_id": "29412383"}, {"ref": "eslamharidi/machine-learning-task", "kernel_id": "29431427"}, {"ref": "aadilzikre/titanic-survival-prediction-with-xgboost", "kernel_id": "29978111"}, {"ref": "varundurvasula/neither-simple-nor-complex", "kernel_id": "29141953"}, {"ref": "eddyliao30/kaggle-titanic-prediction-with-deep-learning", "kernel_id": "29286977"}, {"ref": "neereshkumar/intermediate-ml-model-building", "kernel_id": "29505595"}, {"ref": "nraffa/scikit-learn-ml-from-start-to-finish", "kernel_id": "29970121"}, {"ref": "challayeshwanthreddy/exercise-arithmetic-and-variables", "kernel_id": "29614536"}, {"ref": "izzu14/svc-on-titanic-dataset", "kernel_id": "29513005"}, {"ref": "massimot/titanic-clean-scikit-learn-workflow", "kernel_id": "29050021"}, {"ref": "nicolabarbieri02/notebook294f438fb6", "kernel_id": "29355824"}, {"ref": "bagasadiwaskita/titanic-machine-learning-from-disaster", "kernel_id": "29858174"}, {"ref": "firstkits/titanic-example-python-practice", "kernel_id": "29068929"}, {"ref": "shiviyadav/getting-started-with-titanic-model", "kernel_id": "29455567"}, {"ref": "shiviyadav/data-preprocessing-shows-survived-non-survived-no", "kernel_id": "29894886"}, {"ref": "ripon107/titanic-disaster", "kernel_id": "29060759"}, {"ref": "whiteogre/titanic-eda-and-gridsearchcv", "kernel_id": "29447947"}, {"ref": "niharika2020/predictions-using-random-forest-classifier", "kernel_id": "29354500"}, {"ref": "nkemakolamonyemachi/titanic-prediction", "kernel_id": "29902200"}, {"ref": "danielogunfadebo/titanic-survival-data-analysis", "kernel_id": "29881025"}, {"ref": "kennysmith/titanic-compatition-first-competition", "kernel_id": "29271620"}, {"ref": "andreasstavrou/titanic-prototyping", "kernel_id": "29616723"}, {"ref": "anikfaisal/linear-model-and-neural-net-from-scratch", "kernel_id": "29800123"}, {"ref": "aveocr/titaniclogisticregression", "kernel_id": "29634824"}, {"ref": "ossingh6/titanic-dataset-eda", "kernel_id": "29307426"}, {"ref": "nitinchoudhary012/titanic-survival-prediction", "kernel_id": "29938118"}, {"ref": "shivamgarg1999/titanic-multinomial-logistic-regression", "kernel_id": "29496657"}, {"ref": "mukikrishnan/muki-krishnan-titanic-project", "kernel_id": "29108945"}, {"ref": "girgismicheal/titanic-machine-learning-from-disaster", "kernel_id": "29926588"}, {"ref": "qzheng60/ensemble-classifier-titanic", "kernel_id": "29467260"}, {"ref": "erikmanukyan/titanic", "kernel_id": "29515760"}, {"ref": "tomasfilip/titanic-dataset", "kernel_id": "29064841"}, {"ref": "priyanshu009ch/titanic-support-vector-classification", "kernel_id": "29805001"}, {"ref": "priyanshu009ch/boosting-top-14-on-titanic-dataset", "kernel_id": "29985078"}, {"ref": "puneet92/predicting-survival-in-titanic-dataset", "kernel_id": "29518106"}, {"ref": "dahernes/titanic-rf-z-score", "kernel_id": "29390835"}, {"ref": "oybekeraliev/titinic-with-rf-regressor", "kernel_id": "29613611"}, {"ref": "aklimarimi/regression-a-handbook-let-s-buy-a-house", "kernel_id": "29970778"}, {"ref": "ayushrathi47/titanic-survival-with-xgboost", "kernel_id": "29379063"}, {"ref": "pietromaldini1/optuna-lightgbm", "kernel_id": "29536827"}, {"ref": "pietromaldini1/honorifics-and-small-eda", "kernel_id": "29533453"}, {"ref": "tarunaggarawal/titanic-data-science-solutions", "kernel_id": "29867684"}, {"ref": "karanpathak15/titanic-notebook", "kernel_id": "29318658"}, {"ref": "ukaszsuchodolski/titanic-ml-randomforest", "kernel_id": "29583566"}, {"ref": "ukaszsuchodolski/titanic-ml-neuralnetwork", "kernel_id": "29591505"}, {"ref": "ongzhixuan/using-xgboost-to-predict-survivors-on-the-titanic", "kernel_id": "29571639"}, {"ref": "seiyakyuna/hello-kaggle", "kernel_id": "29906245"}, {"ref": "berkanttuberkdemirta/titanic-survivals-xgboost", "kernel_id": "29712501"}, {"ref": "wonchanleee/catboost-with-titanic", "kernel_id": "29839651"}, {"ref": "nadirbekovnadir/titanic-1-submission", "kernel_id": "29723777"}, {"ref": "pohzixiang/titanic-final-prediction", "kernel_id": "29087211"}, {"ref": "pohzixiang/titanic-eda", "kernel_id": "29018794"}, {"ref": "yajnaab/survival-analysis-on-titanic-dataset", "kernel_id": "29473365"}, {"ref": "michaelgwinn/titanic-logistic-regression-from-scratch", "kernel_id": "29518359"}, {"ref": "tylerpoore/biased-outliers-homl", "kernel_id": "29289680"}, {"ref": "vpatryk/notebook-titanic", "kernel_id": "29218870"}, {"ref": "nabilabdul/titanic-eda-best-score", "kernel_id": "29043481"}, {"ref": "albertagzamov/titanic-decision-tree-classifier", "kernel_id": "29853603"}, {"ref": "francescopaolol/titanic-dataset-my-first-submission", "kernel_id": "29463406"}, {"ref": "sasikumarg/simple-notebook-beginner-all-ml-models", "kernel_id": "29330563"}, {"ref": "johnyuzhang/ds-multi-classifier-model", "kernel_id": "29743554"}, {"ref": "johnyuzhang/ds-data-analysis-impute-plotting", "kernel_id": "29719728"}, {"ref": "odaymourad/score-with-vs-without-outliers-many-models", "kernel_id": "29061612"}, {"ref": "odaymourad/random-forest-model-clearly-explained", "kernel_id": "29389606"}, {"ref": "rustamovamalak/titanic-first-project", "kernel_id": "29957571"}, {"ref": "poonamdasilva/titanic-eda", "kernel_id": "29921364"}, {"ref": "mohadesehemamipour/titanic", "kernel_id": "29307019"}, {"ref": "ashishneo/use-all-model-check-the-accuracy-svm-gives-84", "kernel_id": "29241937"}, {"ref": "gilbykoloay/titanictutorial", "kernel_id": "29952846"}, {"ref": "bikashgurung/ml-02-titanic-logicticregression", "kernel_id": "29173431"}, {"ref": "emiliocorts/titanic-eda-w-altair-predictions-with-pipeline", "kernel_id": "29287234"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "muhammadsameerr/titanic-machine-learning-from-disaster", "kernel_id": "29230795"}, {"ref": "aitorporcel/titanic-using-julia-1-7-1-mlj-rf-xgboost", "kernel_id": "29386418"}, {"ref": "sehbanfazili/titanic", "kernel_id": "29711505"}, {"ref": "jiya7316/titanic-prediction4", "kernel_id": "29783652"}, {"ref": "jiya7316/titanic-prediction-using-ann", "kernel_id": "29886246"}, {"ref": "jiya7316/titanic-prediction-5", "kernel_id": "29896307"}, {"ref": "rhythmcam/simple-titanic-pipeline-solution", "kernel_id": "29023069"}, {"ref": "rhythmcam/pandas-basic-replace-usage", "kernel_id": "29043149"}, {"ref": "rhythmcam/pandas-basic-make-mean-column", "kernel_id": "29043978"}, {"ref": "rhythmcam/pandas-basic-titanic-feature-importance", "kernel_id": "29136771"}, {"ref": "dev523/titanic-survival-secrets-of-the", "kernel_id": "29531435"}, {"ref": "alexandrepetit881234/titanic-22", "kernel_id": "29683157"}, {"ref": "turacaydogan/walking-in-random-forest", "kernel_id": "29372045"}, {"ref": "sahaysrv/titanic-submission-w-d-column-transformer", "kernel_id": "29434724"}, {"ref": "niggoo/titanic-survival-classification", "kernel_id": "29585113"}, {"ref": "roodydamoody/titanic-notebook-first-attempt", "kernel_id": "29482754"}, {"ref": "harisdianto/hrs-titanic", "kernel_id": "29338322"}, {"ref": "abdorabie/titanic-solution", "kernel_id": "29052155"}, {"ref": "equiiinox/titanic-predictions", "kernel_id": "29775472"}, {"ref": "sheikhartin/relationship-between-characteristics-of-survivors", "kernel_id": "29020871"}, {"ref": "meln1337/titanic-notebook", "kernel_id": "29174741"}, {"ref": "immu123/titanic-88", "kernel_id": "29146082"}, {"ref": "vandanawm/machine-learning-with-titanic", "kernel_id": "29142074"}, {"ref": "elmajoadriel/titanic-data-train-eda", "kernel_id": "29893907"}, {"ref": "hari31416/eda-and-feature-engineering-for-titanic", "kernel_id": "29934975"}, {"ref": "mahdeemushfiquekamal/eda-and-ensemble-of-svc-knn-rf", "kernel_id": "29028518"}, {"ref": "jeetjagtap/titanic", "kernel_id": "29114110"}, {"ref": "jeetjagtap/notebookf68adb1edb", "kernel_id": "29819888"}, {"ref": "atahanaltan/titanicproject-dataanalysis", "kernel_id": "29448993"}, {"ref": "adeshtrivedi/titanic-practice-1", "kernel_id": "29705820"}, {"ref": "adeshtrivedi/titanic-1", "kernel_id": "29712192"}, {"ref": "adeshtrivedi/notebook334902edef", "kernel_id": "29775639"}, {"ref": "raviswanathan/titanic-survival-prediction-ensemble-top-15", "kernel_id": "29281940"}, {"ref": "adeel19hasan/titanic-dataset-competition", "kernel_id": "29557028"}, {"ref": "leokaka/96-acc-logistic-regression-for-beginners", "kernel_id": "29529553"}, {"ref": "sabeehatabassum/titanic-regression-notebook-for-beginners", "kernel_id": "29504241"}, {"ref": "srivatsas05/titanic", "kernel_id": "29987098"}, {"ref": "alipourghasemi/titanic-machine-learning-from-disaster", "kernel_id": "29456523"}, {"ref": "jvachier/classification-with-logistic-regression-numpy", "kernel_id": "29310035"}, {"ref": "lightbarbara/titanic-analytica", "kernel_id": "29493646"}, {"ref": "supremeleaf/titanic-survivor-analysis-and-prediction", "kernel_id": "29610656"}, {"ref": "roshan26/prediction-using-random-forest", "kernel_id": "29434217"}, {"ref": "singsinghi/titanic", "kernel_id": "29152279"}, {"ref": "numanbaz/g-rsel-atlas-titanic-veri-seti", "kernel_id": "29454890"}, {"ref": "mattymyers22/a-titanic-rite-of-passage", "kernel_id": "29389809"}, {"ref": "shubhamcjagtap4/titanic-classification-with-eda-and-prediction", "kernel_id": "29229469"}, {"ref": "daneeperera/getting-started-with-titanic", "kernel_id": "29407869"}, {"ref": "mahakmourya/titanic", "kernel_id": "29574675"}, {"ref": "eunflash/eun-220817-titanic", "kernel_id": "29621764"}, {"ref": "nadeembabar/titanic-via-logistic-regression", "kernel_id": "29265135"}, {"ref": "sakshamparashar/titanic-score-improvement-by-hyperparameter-tuning", "kernel_id": "29991663"}, {"ref": "urashimataro/practice-of-classifier-and-eda", "kernel_id": "29200238"}, {"ref": "nishadev/titanic-passenger-survival-prediction", "kernel_id": "29550883"}, {"ref": "kalelpark/visualization-for-matplotlib-intermediate-3", "kernel_id": "29913607"}, {"ref": "kalelpark/visualization-for-matplotlib-intermediate-1", "kernel_id": "29857229"}, {"ref": "kalelpark/visualization-for-matplotlib-intermediate-2", "kernel_id": "29877040"}, {"ref": "kalelpark/visualization-for-matplotlib-introductory-2", "kernel_id": "29832719"}, {"ref": "kalelpark/visualization-for-matplotlib-introductory-1", "kernel_id": "29801468"}, {"ref": "kalelpark/visualization-for-matplotlib-advanced", "kernel_id": "29930734"}, {"ref": "solasky/titanic-ensemble-majority-vote", "kernel_id": "29805115"}, {"ref": "solasky/titanic-xg-boost", "kernel_id": "29673038"}, {"ref": "themiskavour/titanic-random-forest-r-studio", "kernel_id": "29437193"}, {"ref": "faduregis/titanic-machine-learning-competition", "kernel_id": "29693674"}, {"ref": "faduregis/titanic-survival-prediction", "kernel_id": "29827211"}, {"ref": "alpayabbaszade/automl-pycaret-titanic-dataset", "kernel_id": "29362832"}, {"ref": "ferhatersoy/titanic-eda", "kernel_id": "29244472"}, {"ref": "nazargrinchenko/titanic-competition", "kernel_id": "29991379"}, {"ref": "drrajkulkarni/titanic-pytorch", "kernel_id": "29982300"}, {"ref": "pratiksoyantar/titanic", "kernel_id": "29076452"}, {"ref": "sohaibsoussi/titanic-classification-problem", "kernel_id": "29688142"}, {"ref": "zhenddos/titanic-prediction-with-xgboost", "kernel_id": "29131091"}, {"ref": "pollcrater/titanic-survival-prediction-using-machine-learning", "kernel_id": "29358580"}, {"ref": "skanderhaddar/titanic-survived", "kernel_id": "29973633"}, {"ref": "abhishek529910/titanic-learning", "kernel_id": "29067483"}, {"ref": "justinjayramboyong/titanic-machine-learning-from-disaster", "kernel_id": "29090083"}, {"ref": "jaiganesh23/feature-engineering-logistic-regression", "kernel_id": "29524823"}, {"ref": "harshitkumartaneja/titanic-dataset", "kernel_id": "29232073"}, {"ref": "carolusian/learn-to-kaggle-using-r-with-titanic-dataset", "kernel_id": "29527644"}, {"ref": "asdcena/titanic-submission", "kernel_id": "29890845"}, {"ref": "naeemahmedhaji/ml-titanic-survival-prediction", "kernel_id": "29979255"}, {"ref": "lusfernandotorres/titanic-ml-competition-with-pycaret", "kernel_id": "29107699"}, {"ref": "ankitmoura/notebook78ac053d8b", "kernel_id": "29453143"}, {"ref": "krtistinasement/survival-on-the-titanic-analysis-and-prediction", "kernel_id": "29458826"}, {"ref": "varunraskar/titanic", "kernel_id": "29959062"}, {"ref": "joshuaokolo/getting-started-with-titanic", "kernel_id": "29409006"}, {"ref": "joshuaokolo/arithmetic-and-variables", "kernel_id": "29408381"}, {"ref": "adityakrm2/data-analysis-tricks-for-absolute-beginners", "kernel_id": "29658645"}, {"ref": "olgaianina/titanic-randomforest", "kernel_id": "29620976"}, {"ref": "diyasanthosh/titanic-prediction-using-different-algorithms", "kernel_id": "29340472"}, {"ref": "varunnagpalspyz/ml-models-code-from-scratch", "kernel_id": "29692578"}, {"ref": "soumighosh99/titanic-dataset-eda-baseline-model-82-accuracy", "kernel_id": "29106356"}, {"ref": "ibraheemseyam/ibrahim-seyam-titanic", "kernel_id": "29480083"}, {"ref": "ibraheemseyam/template-automated-eda-visualiza", "kernel_id": "29876271"}, {"ref": "mikolajhojda/titanic-classification-using-logistic-regression", "kernel_id": "29577481"}, {"ref": "mubashirfarooq/exercise-arithmetic-and-variables", "kernel_id": "29135586"}, {"ref": "mohammedattwa57/titanic-s-passenger-survival-predictions", "kernel_id": "29987897"}, {"ref": "arifenesaydn/titanic-logistic-regression", "kernel_id": "29106510"}, {"ref": "ramazanerduran/titanic-survived-rfclassifier", "kernel_id": "29296143"}, {"ref": "shivaibhavdewangan/titanic-test", "kernel_id": "29719721"}, {"ref": "zelianft/submissaotitanic1-0", "kernel_id": "29099484"}, {"ref": "zelianft/submissaotitanic1", "kernel_id": "29455786"}, {"ref": "andrebarbosamartins/submissaotitanic-4e65fe", "kernel_id": "29153781"}, {"ref": "vipulesh/titanic-dataset-submission", "kernel_id": "29645020"}, {"ref": "v1shwanathj/titanic-lab", "kernel_id": "29326128"}, {"ref": "anhvutruong/titanic", "kernel_id": "29774125"}, {"ref": "nabilajahan/titanic-survival-prediction", "kernel_id": "29736403"}, {"ref": "sharmishthashukla/titanic-competition", "kernel_id": "29993056"}, {"ref": "mwaseem75/titanic-disaster-randomforestclassifier", "kernel_id": "29577900"}, {"ref": "ganeshshelar/titanic-ml-from-disaster", "kernel_id": "29843552"}, {"ref": "gadigevishalsai/titanic-eda-stacking-classifier-78-5", "kernel_id": "29033715"}, {"ref": "prakharshukla2499/getting-started-with-titanic", "kernel_id": "29268228"}, {"ref": "sagnikbarman/titanic-survival-prediction", "kernel_id": "29575772"}, {"ref": "nasdevs/titanic-survival-predictions-lb-0-79186", "kernel_id": "29619737"}, {"ref": "warleycastro/submissaotitanic", "kernel_id": "29152672"}, {"ref": "anushasuresh348/pyspark-ml-titanic-dataset", "kernel_id": "29094078"}, {"ref": "yugandharnaidu/notebook5305596890", "kernel_id": "29227876"}, {"ref": "anubhavgoyal10/titanic-survival-prediction-top-10", "kernel_id": "29560174"}, {"ref": "nmohammedjamal/titanic-visually-explained", "kernel_id": "29576571"}, {"ref": "ahmedzedan0/titanic-exploratory", "kernel_id": "29853252"}, {"ref": "namitabagri/titanic-data-namita", "kernel_id": "29755915"}, {"ref": "tekleortoidze/titanic-dataset", "kernel_id": "29151161"}, {"ref": "salmanhabeeb/titanic-eda-plus-logistic-reg-ipynb", "kernel_id": "29877185"}, {"ref": "muhammadhamzaabbasi/titanic-survival-prediction-using-ensemble", "kernel_id": "29822740"}, {"ref": "kondavidyasagar/titanic-eda-and-ml", "kernel_id": "29865418"}, {"ref": "amazing981/titanic-with-logistic-regression", "kernel_id": "29697401"}, {"ref": "abhinavvengali/titanic-eda-and-preds", "kernel_id": "29131101"}, {"ref": "borismbobe/titanic-with-pipeline", "kernel_id": "29476716"}, {"ref": "borismbobe/titanic-with-the-best-hyperparameter-of-model", "kernel_id": "29512685"}, {"ref": "borismbobe/titanic-competition", "kernel_id": "29250253"}, {"ref": "borismbobe/an-optimal-and-simple-approach", "kernel_id": "29696409"}, {"ref": "borismbobe/85-of-prediction", "kernel_id": "29744991"}, {"ref": "borismbobe/comparing-ml-models-for-classification", "kernel_id": "29745824"}, {"ref": "adoumtaiga/comparing-ml-models-for-classification", "kernel_id": "29722672"}, {"ref": "adoumtaiga/tittanic-prediction-with-hyperparameters", "kernel_id": "29602147"}, {"ref": "adoumtaiga/perfect-approach-for-titanic-survival-predict", "kernel_id": "29542424"}, {"ref": "adoumtaiga/amazing-titanic-prediction-with-cross-validation", "kernel_id": "29563555"}, {"ref": "adoumtaiga/titanic-prediction", "kernel_id": "29250400"}, {"ref": "williasjunior/submissaotitanic", "kernel_id": "29456299"}, {"ref": "jayeshvadje17/titanic", "kernel_id": "29955829"}, {"ref": "rumbleftw/theory-code-logisticregression-from-scratch-numpy", "kernel_id": "29925340"}, {"ref": "brunosoaresdossantos/titanic-para-iniciantes-top-8", "kernel_id": "29887137"}, {"ref": "snmzgrkn/gurkan-titanik-eda", "kernel_id": "29778017"}, {"ref": "wahabuddinansari/titanic-notebook", "kernel_id": "29622950"}, {"ref": "karishmasaini2451/titanic-predictions", "kernel_id": "29684090"}, {"ref": "redditistrash/titanic-model", "kernel_id": "29391718"}, {"ref": "georgeaivazov/titanic-perfect-model-pytorch", "kernel_id": "29815090"}, {"ref": "anjalikm05/titanic-machine-learning-from-disaster", "kernel_id": "29556560"}, {"ref": "kanuriviveknag/titanic-with-logistic-regression", "kernel_id": "29401236"}, {"ref": "mohamedalsisi/titanic", "kernel_id": "29041103"}, {"ref": "pebrindanovginting/titanic-prediction", "kernel_id": "29934150"}, {"ref": "ghostauroragre/simple-logisticregression", "kernel_id": "29254096"}, {"ref": "vincentbrunner/ml-from-scratch-logistic-regression", "kernel_id": "29203033"}, {"ref": "jayapat/project1-titanic-python", "kernel_id": "29963473"}, {"ref": "kennyssss/titanic-nn-using-r", "kernel_id": "29602023"}, {"ref": "mouazdarkazly/titanic-survival-prediction", "kernel_id": "29185927"}, {"ref": "ankitbhattacharyya/titanic-dataset-accuracy-test", "kernel_id": "29915331"}, {"ref": "abdurrahmanyakar/titanic-exploratory-data-analysis", "kernel_id": "29447741"}, {"ref": "vonnwong/titanic-2", "kernel_id": "29955526"}, {"ref": "ignaciocordovapou/random-forest-classifier-titanic-survival", "kernel_id": "29536922"}, {"ref": "anshulyadav05/titanic-logisticregression", "kernel_id": "29740511"}, {"ref": "rutikachavan/titanic", "kernel_id": "29647716"}, {"ref": "rimmelasghar/eda-on-titanic-dataset", "kernel_id": "29066328"}, {"ref": "troybernie/titanic-exploratory-data-analysis", "kernel_id": "29614868"}, {"ref": "pankajchaurasia104/my-first-notebook", "kernel_id": "29431680"}, {"ref": "elianaharriet/tp1-orga", "kernel_id": "29603208"}, {"ref": "jacksongregoiremll/simple-feature-engineered-logistic-regression", "kernel_id": "29133086"}, {"ref": "koustavghosh149/a-simple-approach-to-titanic-dataset-83-2-accuracy", "kernel_id": "29194405"}, {"ref": "safwanbinamir/titanic-from-import-to-randomforest-model", "kernel_id": "29403241"}, {"ref": "usamabalochhh/starter-for-titanic-competition", "kernel_id": "29435038"}, {"ref": "usamabalochhh/eda-full-logistic-regression-explanation", "kernel_id": "29356281"}, {"ref": "usamabalochhh/data-is-imbalanced-use-smote", "kernel_id": "29374786"}, {"ref": "usamabalochhh/comparison-of-tree-based-models-with-explanation", "kernel_id": "29050750"}, {"ref": "clarecao/notebook-lr-dt-rf-supervised-capstone-final", "kernel_id": "29308031"}, {"ref": "clarecao/notebook-runtime-dt-rf-othermodels", "kernel_id": "29135880"}, {"ref": "clarecao/ntebook-lr-dt-rf-supervised-capstone-slide-deck", "kernel_id": "29698512"}, {"ref": "daesunryu/ml-titanic-survival-prediction-score-0-78947", "kernel_id": "29820052"}, {"ref": "rishikeshratan/using-all-ml-classification-algorithms", "kernel_id": "29226508"}, {"ref": "gangminharrychoe/titanic-survivor-prediction-by-lr-rf", "kernel_id": "29417308"}, {"ref": "janjibdev/titanic-3", "kernel_id": "29545761"}, {"ref": "muazrehmani/titanic-ml-model-maximumscore", "kernel_id": "29481425"}, {"ref": "willdavids/titanic-my-first-ml-application", "kernel_id": "29430119"}, {"ref": "aabdulmalik/titanic-survival-prediction-analysis", "kernel_id": "29381453"}, {"ref": "weichedai/kaggle-titanic-python", "kernel_id": "29351255"}, {"ref": "weichedai/kaggle-titanic-r", "kernel_id": "29142816"}, {"ref": "cengizhantopcuu/titanic-firsttry", "kernel_id": "29254137"}, {"ref": "akashkotal/details-eda-with-titanic-problem", "kernel_id": "29905527"}, {"ref": "cckmmm/titanic-testing-models-with-gridsearchcv", "kernel_id": "29197920"}, {"ref": "utsavagar/luck-or-privilege-ipynb", "kernel_id": "29080219"}, {"ref": "utsavagar/data-analyse-on-titanic-data", "kernel_id": "29261481"}, {"ref": "merencelebi/titanic-survive", "kernel_id": "29717703"}, {"ref": "ibrahimkhater/notebook0679bbf467", "kernel_id": "29024310"}, {"ref": "therealoise/machine-learning-from-the-titanic-disaster", "kernel_id": "29716656"}, {"ref": "rishabhkmr/titanic-solution-naive-bayes", "kernel_id": "29123878"}, {"ref": "rishabhkmr/titanic-survival-prediction-using-svm", "kernel_id": "29090828"}, {"ref": "rishabhkmr/eda-with-graphs", "kernel_id": "29104313"}, {"ref": "johngrimaldi/getting-started-with-titanic", "kernel_id": "29029094"}, {"ref": "ahmedrgaey/titanic", "kernel_id": "29944167"}, {"ref": "manishathete/titanic-comp", "kernel_id": "29733809"}, {"ref": "ltrahul/solution-of-titanic-data", "kernel_id": "29101122"}, {"ref": "willis2/titanic-with-fastai", "kernel_id": "29234349"}, {"ref": "jessehilario/titanic-dataset-w-random-forest", "kernel_id": "29547179"}, {"ref": "kaelidial/titanic-survival-predictions-estimate", "kernel_id": "29127366"}, {"ref": "kckawalkar/titanic-survival", "kernel_id": "29908034"}, {"ref": "sulochanmane/titanic-dataset-eda-and-classification", "kernel_id": "29219535"}, {"ref": "sulochanmane/titanic-cross-validation-study", "kernel_id": "29264781"}, {"ref": "blakemazzaferro/titanic-kaggle", "kernel_id": "29319371"}, {"ref": "rakeshrauniyar/titanic-survival-prediction-eda", "kernel_id": "29862470"}, {"ref": "sathyanarayanrao89/understanding-pipeline-in-sklearn", "kernel_id": "29294345"}, {"ref": "sathyanarayanrao89/titanic-eda-with-xgboost", "kernel_id": "29618907"}, {"ref": "suhanshubhattacharya/titanic-competition-submission", "kernel_id": "29194075"}, {"ref": "purpledmango/titanic-survival-prediction-using-xg-boost", "kernel_id": "29480051"}, {"ref": "yuuuuzi/notebookbef16a4fd4", "kernel_id": "29687030"}, {"ref": "arianmoslehi/titanic-4", "kernel_id": "29226864"}, {"ref": "ikramulkayes/titanic-regression-notebook-for-beginners", "kernel_id": "29444437"}, {"ref": "mikevanderklis/titanic-first-competition", "kernel_id": "29771571"}, {"ref": "kevinmorgado/titanic-initial-prediction-of-survival", "kernel_id": "29054434"}, {"ref": "deepakreddychada/exercise-arithmetic-and-variables", "kernel_id": "29311256"}, {"ref": "waimingtai/titanic", "kernel_id": "29004388"}, {"ref": "adityahanwat/titanic-survivors-analysis", "kernel_id": "29426699"}, {"ref": "olowookeredamilola/titanicsolution", "kernel_id": "29594319"}, {"ref": "doggypiggy/titanic-top-5-0-79665-easy-to-understand", "kernel_id": "29203857"}, {"ref": "bansodesandeep/ml-logistic-regression-boston-data-binning", "kernel_id": "29915382"}, {"ref": "bansodesandeep/random-forrest-extratree-regressor-pickle", "kernel_id": "29968063"}, {"ref": "samuth1/titanic-survival-projections", "kernel_id": "29484180"}, {"ref": "prsasiva/notebook4cf6e791b5", "kernel_id": "29303567"}, {"ref": "ahmedramsey/titanic-machine-learning-from-disaster", "kernel_id": "29256344"}, {"ref": "shehanu/getting-started-with-titanic", "kernel_id": "29097684"}, {"ref": "brotherzimmo/titanic-machine-learning-from-disaster", "kernel_id": "29068649"}, {"ref": "joovctorrodrigues/notebook-titanic", "kernel_id": "29099441"}, {"ref": "felipe100/titanictest", "kernel_id": "29134375"}, {"ref": "narminhumbatli/titanic-competition-s-eda", "kernel_id": "29047973"}, {"ref": "ekaterinegloveli/titanic-gloveli", "kernel_id": "29154585"}, {"ref": "hundong2/titanic-problem", "kernel_id": "29015775"}, {"ref": "tsztokong/titanic-data-set", "kernel_id": "29725100"}, {"ref": "mty711/notebook9d63005e4b", "kernel_id": "29467226"}, {"ref": "yogeshpm/notebook6ad90a47aa", "kernel_id": "29512951"}, {"ref": "rishavnandi/titanic-prediction", "kernel_id": "29575710"}, {"ref": "taskinemre/titanic-competition-classification-submission", "kernel_id": "29713217"}, {"ref": "rayenghali023/feature-selection-smote-grid-search-w-pipelines", "kernel_id": "29706743"}, {"ref": "joehardin369/following-titanic-tutorial", "kernel_id": "29151021"}, {"ref": "davidred25/titanic-univariate-analysis", "kernel_id": "29355506"}, {"ref": "kostyahnatiuk/titanic-challenge-sklearn", "kernel_id": "29935582"}, {"ref": "catherinerasgaitis/titanic-predictions", "kernel_id": "29563224"}, {"ref": "shivamogili/titanic-pca", "kernel_id": "29363300"}, {"ref": "abdullahalsarraji/titanic-machine-learning-python", "kernel_id": "29483540"}, {"ref": "maxmelichov/titanic-0-78-with-rfc", "kernel_id": "29404955"}, {"ref": "maxmelichov/titanic-gradientboostingclassifier-0-78", "kernel_id": "29684025"}, {"ref": "temurikvikvinia/titanic-t-k-1", "kernel_id": "29221217"}, {"ref": "manjay05/titanic-randomforest-with-cv", "kernel_id": "29511254"}, {"ref": "narayan63/eda-on-titanic-dataset-file-on-train-csv", "kernel_id": "29479310"}, {"ref": "enesarslan8/survival-prediction-on-the-titanic", "kernel_id": "29260468"}, {"ref": "soumyakushwaha/getting-started-with-titanic", "kernel_id": "29605804"}, {"ref": "gabrielyangk/titanicprediction-nan-visualizatio-plotly", "kernel_id": "29998175"}, {"ref": "gultendogan/titanic-eda", "kernel_id": "29435604"}, {"ref": "fatmaelshall/titanic1", "kernel_id": "29554878"}, {"ref": "ehetshamshaukat/first-kaggle-competition", "kernel_id": "29274424"}, {"ref": "elizarzh/titanic-survival-prediction-using-pytorch", "kernel_id": "29971391"}, {"ref": "barstugan/titanic-eda", "kernel_id": "29060419"}, {"ref": "shindm/notebookbaa6c486f0", "kernel_id": "29638531"}, {"ref": "junyabe/getting-started-with-titanic", "kernel_id": "29032574"}, {"ref": "monkot/simple-ml-titanic-csv", "kernel_id": "29310634"}, {"ref": "ayoubkoussy/titanic", "kernel_id": "29411724"}, {"ref": "sanketangchekar1/getting-started-with-titanic", "kernel_id": "29426926"}, {"ref": "precioux/titanic-survivor-prediction", "kernel_id": "29592776"}, {"ref": "numbrami/titanic-knn", "kernel_id": "29629833"}, {"ref": "krishlavasa/exercise-arithmetic-and-variables", "kernel_id": "29328014"}, {"ref": "lovelydhillon/titanic-notebook", "kernel_id": "29569111"}, {"ref": "mikhailpaseka/titanic-comp", "kernel_id": "29062666"}, {"ref": "ivanchukhran/titanic-prediction-with-pytorch", "kernel_id": "29969001"}, {"ref": "raushankumarpandey/getting-started-with-titanic", "kernel_id": "29938099"}, {"ref": "peterkabuthi/peter-mburu", "kernel_id": "29063086"}, {"ref": "dayrongarcaprez/titanic-machine-learning-tutorial", "kernel_id": "29245880"}, {"ref": "sahatushar091/titanic-prediction", "kernel_id": "29366339"}, {"ref": "superdfv/notebook0bc0c93e40", "kernel_id": "29768648"}, {"ref": "georgipopov11/logistic-regression-in-a-linear-fashion", "kernel_id": "29454790"}, {"ref": "georgipopov11/decision-trees", "kernel_id": "29483802"}, {"ref": "rjsharinurk21cs5022/titanic-project-example", "kernel_id": "29020196"}, {"ref": "kangrokkim/hgb-histogram-based-gradient-boosting-in-titanic", "kernel_id": "29102858"}, {"ref": "francescoliveras/titanic-ml-and-dl-en-es", "kernel_id": "29936998"}, {"ref": "abdurraffay00/titanic-machine-learning-from-disaster", "kernel_id": "29793609"}, {"ref": "abdulhaq786/prediction-using-logistic-regression", "kernel_id": "29779748"}, {"ref": "linjunxiang/titanic-machine-learning-eda-xgboost", "kernel_id": "29062678"}, {"ref": "fredriktrulsson/titanic-naive-bayes-visualized", "kernel_id": "29593221"}, {"ref": "sherifbeshr/project-titanic", "kernel_id": "29509725"}, {"ref": "muhammedalshafie/machine-learning-porject", "kernel_id": "29514955"}, {"ref": "amr2008u/solution-for-titanic-machinelearning-from-disaster", "kernel_id": "29399688"}, {"ref": "ahmedsoliman9977/notebookacd8710c91", "kernel_id": "29486701"}, {"ref": "ahmedgabualnoor/ml-project", "kernel_id": "29492333"}, {"ref": "mohamedfouad98/ml-mini-project", "kernel_id": "29457341"}, {"ref": "ofstormwolf/titanic-predict", "kernel_id": "29571070"}, {"ref": "amansinghthakur/all-models-titanic-data-science-beginner", "kernel_id": "29145150"}, {"ref": "rawdanabilwahb/ml-mini-project", "kernel_id": "29574826"}, {"ref": "raanahassan/mini-projectt", "kernel_id": "29505304"}, {"ref": "sopikokvikvinia/titanic-kvikvinia", "kernel_id": "29253306"}, {"ref": "prashantkr57/titanic-using-svm-model", "kernel_id": "29366757"}, {"ref": "deborahlouise/titantic-introduction", "kernel_id": "29202999"}, {"ref": "ahmedhussienmohmed/project-ml", "kernel_id": "29465449"}, {"ref": "genryu0210/titanic-no-1", "kernel_id": "29613851"}, {"ref": "anjanakavid/titanic-machine-learning-from-disaster-1st-try", "kernel_id": "29142251"}, {"ref": "anjanakavid/titanic-machine-learning-from-disaster", "kernel_id": "29243774"}, {"ref": "duyen21/titanic-classification", "kernel_id": "29635797"}, {"ref": "vipulahuja25gmailcom/notebook840d7a8775", "kernel_id": "29215532"}, {"ref": "zeynepcelikten/titanic-eda", "kernel_id": "29367687"}, {"ref": "kevingreene2/notebooka2858dce2d", "kernel_id": "29262076"}, {"ref": "vaish0903/titanic", "kernel_id": "29782401"}, {"ref": "iabahmad19/titanic-begginer", "kernel_id": "29353805"}, {"ref": "alexplotnikov/titanic-randomforest-score-0-758", "kernel_id": "29904585"}, {"ref": "praneeshsharma/getting-started-with-titanic", "kernel_id": "29470374"}, {"ref": "noamaan6688/titanic-disaster-prediction", "kernel_id": "29299145"}, {"ref": "arhabali/titanic-survival-prediction", "kernel_id": "29304799"}, {"ref": "arnavpatra/titanic-dataset-analysis", "kernel_id": "29433307"}, {"ref": "turabiyldrm/titanic-data-science", "kernel_id": "29506919"}, {"ref": "christinelumen/titanic", "kernel_id": "29838948"}, {"ref": "adityadeepak/titanic-ml-from-disaster", "kernel_id": "29508192"}, {"ref": "alimohtadi/titanic-mltir", "kernel_id": "29472071"}, {"ref": "mohammadraid/titanic-noop", "kernel_id": "29721649"}, {"ref": "nakagavva/tutorial-of-kaggle", "kernel_id": "29425693"}, {"ref": "matthewanoshin/titanic-approach", "kernel_id": "29449837"}, {"ref": "breyefokalagloire/exercise-arithmetic-and-variables", "kernel_id": "29434382"}, {"ref": "achrafkhabar/titanic-surviving-problem", "kernel_id": "29699057"}, {"ref": "guptapawni/submission-csv", "kernel_id": "29762186"}, {"ref": "tanujasreekanth/guide-for-comprehensive-data-exploration-in-python", "kernel_id": "29633422"}, {"ref": "emrecigdem/emrecigdem-titanic-eda", "kernel_id": "29524598"}, {"ref": "shubhamchand51/ml-titanic-survival-prediction", "kernel_id": "29981519"}, {"ref": "uriisko/exercise-arithmetic-and-variables", "kernel_id": "29658201"}, {"ref": "alvinleenh/titanic-survival-prediction-with-catboost-0-78", "kernel_id": "29509433"}, {"ref": "kevindebossann/cap-tulo8", "kernel_id": "29907637"}, {"ref": "kevindebossann/cap7-datacleaning", "kernel_id": "29827074"}, {"ref": "mehmetycl/titanic-projesi-1", "kernel_id": "29974587"}, {"ref": "mikita1580/titanic-nn", "kernel_id": "29897678"}, {"ref": "bupvishnu/decision-tree-with-98-2-training-accuracy", "kernel_id": "29577662"}, {"ref": "cristaliss/titanic-survive-predictions-tutorial", "kernel_id": "29536854"}, {"ref": "simplymoser/titanic", "kernel_id": "29837721"}, {"ref": "viniciusrmendes/mycodetitanic", "kernel_id": "29539988"}, {"ref": "gmayuriiii/titanic-simple", "kernel_id": "29576345"}, {"ref": "akshatraaz/exercise-arithmetic-and-variables", "kernel_id": "29625743"}, {"ref": "onurenes/titaniceda", "kernel_id": "29899284"}, {"ref": "timothymombilia/titanic-tffm", "kernel_id": "29952837"}, {"ref": "engahmedhrb/titanic-survival-prediction", "kernel_id": "29921150"}, {"ref": "kimdohyung111/21012-20220817", "kernel_id": "29638534"}, {"ref": "kouppm/jiyoon-220817", "kernel_id": "29638536"}, {"ref": "utkarshsaxenadn/dense-model-eda-acc-83", "kernel_id": "29756246"}, {"ref": "gokhanli/gokhanli-titanic", "kernel_id": "29842343"}, {"ref": "olegbudin/get-started-with-titanic", "kernel_id": "29963781"}, {"ref": "paulrowland/titantic-tensor-flow", "kernel_id": "29693372"}, {"ref": "ahmedwael2000/my-titanic", "kernel_id": "29977866"}, {"ref": "nshidqi/getting-started-titanic-survival-prediction", "kernel_id": "29726970"}, {"ref": "cynthia824/titanic-new", "kernel_id": "29911411"}, {"ref": "simonebergmann/titanic-first-try", "kernel_id": "29792155"}, {"ref": "cristofelnau/tugas-datascience", "kernel_id": "29952944"}, {"ref": "meghabothe/exercise-arithmetic-and-variables", "kernel_id": "29846154"}, {"ref": "jmoranb/titanic-classification-survivors", "kernel_id": "29856206"}, {"ref": "gopalkumarsengar/exercise-arithmetic-and-variables", "kernel_id": "29972434"}, {"ref": "shivanshuverma/user-and-beginner-friendly-notebook", "kernel_id": "29918611"}, {"ref": "jatinshah/fast-ai-course22-part-1-notebooks-combined", "kernel_id": "30750783"}, {"ref": "aditya436/session-4-classroom", "kernel_id": "30090772"}, {"ref": "snikks/classifiers-simple-code", "kernel_id": "30775914"}, {"ref": "mschuer/titantic-survival", "kernel_id": "30500044"}, {"ref": "kanizz/titanic-experiment-ensembles", "kernel_id": "30348126"}, {"ref": "marcelovalentimsilva/titanic-pandas-profiling-dataprep-autoviz", "kernel_id": "30047712"}, {"ref": "pyim59/titanic-cdl-2022", "kernel_id": "30179933"}, {"ref": "nnjjpp/tracking-experiments-with-comet-com", "kernel_id": "30004018"}, {"ref": "wet1101/titanic", "kernel_id": "30819146"}, {"ref": "sudi7513/prediction-using-neural-networks", "kernel_id": "30583498"}, {"ref": "raj2017/dausan-titanic", "kernel_id": "30860551"}, {"ref": "canid56/titanic-demo", "kernel_id": "30346960"}, {"ref": "canid56/notebook2e460b3a8f", "kernel_id": "30438771"}, {"ref": "canid56/titanic-demo-simple", "kernel_id": "30362795"}, {"ref": "feraco/r-workshop", "kernel_id": "30777450"}, {"ref": "leomauro/automl-benchmark-titanic-disaster", "kernel_id": "30406131"}, {"ref": "funxexcel/part-1-data-preprocessing", "kernel_id": "30948876"}, {"ref": "funxexcel/part-2-eda", "kernel_id": "30948903"}, {"ref": "suneettipirneni/titanic-data-science-solutions", "kernel_id": "30314449"}, {"ref": "suneettipirneni/notebook941eac6709", "kernel_id": "30501513"}, {"ref": "deepakdodi/titanic-machine-learning", "kernel_id": "30667574"}, {"ref": "gal064/titanic", "kernel_id": "30486331"}, {"ref": "omerbolukbasi/functional", "kernel_id": "30301556"}, {"ref": "emreturk/eda-and-regression-for-titanik-dataset", "kernel_id": "30893232"}, {"ref": "belsonraja/exercise-arithmetic-and-variables", "kernel_id": "30784213"}, {"ref": "ryanpotter94/titanic-competition-submission", "kernel_id": "30502894"}, {"ref": "fourteenflames/titanic-nn", "kernel_id": "30057226"}, {"ref": "lekods/titanic-survival", "kernel_id": "30803369"}, {"ref": "mallikarjunamanne/titanic-survival-prediction", "kernel_id": "30447113"}, {"ref": "cansel/cansel-titanic-eda", "kernel_id": "30173045"}, {"ref": "razhadas/titanic-get-started", "kernel_id": "30636031"}, {"ref": "hawkgiu/titanic-kaggle-competitions-guide", "kernel_id": "30564466"}, {"ref": "geunhye/titanic-220919", "kernel_id": "30514666"}, {"ref": "mukunddhar/titanic-data-science-solutions", "kernel_id": "30292861"}, {"ref": "italovinixius/titanic-eda", "kernel_id": "30830708"}, {"ref": "yalcinmehmet/titanic-visualization-16-temmuz", "kernel_id": "30097141"}, {"ref": "hasifullah/titanic-ml-first-notebook", "kernel_id": "30822170"}, {"ref": "nooreo92/titanic-competition", "kernel_id": "30226168"}, {"ref": "harmeetkaur2711/hkd-titanic-ml-basic", "kernel_id": "30558088"}, {"ref": "skylidose/titanic-2", "kernel_id": "30751606"}, {"ref": "skylidose/titanic-1", "kernel_id": "30667517"}, {"ref": "karansinghreen/survival-predictor-using-logistic-regression", "kernel_id": "30428985"}, {"ref": "dhruv1234/titanic-ann-kerastuner", "kernel_id": "30182183"}, {"ref": "simonpark333/20221005-01-eda", "kernel_id": "30944999"}, {"ref": "chetanc703/titanic-data-science-solutions", "kernel_id": "30307429"}, {"ref": "vivekssm/titanic-knn", "kernel_id": "30341080"}, {"ref": "gfoucart/titanic-model-stacking-xgb-rf", "kernel_id": "30893856"}, {"ref": "gfistro/titanic-submission-0-782-using-ensebles-in-r", "kernel_id": "30929615"}, {"ref": "arnavjain1/pandas-tutorial-2", "kernel_id": "30750008"}, {"ref": "nickyng/my-first-titanic-submission-into-data-science", "kernel_id": "30007168"}, {"ref": "katsuyanomura/titanic-lgbm-1", "kernel_id": "30862717"}, {"ref": "katsuyanomura/titanic-eda", "kernel_id": "30782889"}, {"ref": "adnanben/titanic-prediction-quick-approach", "kernel_id": "30631929"}, {"ref": "rakkaalhazimi/titanic-xgboost-prediction", "kernel_id": "30064099"}, {"ref": "shivanshuman/titanic-99", "kernel_id": "30873669"}, {"ref": "normangitosh/titanic-ml", "kernel_id": "30700231"}, {"ref": "youssefbarsoom/titanic-data-science-solutions", "kernel_id": "30314840"}, {"ref": "jwk323/titanic-basic-eda-220917", "kernel_id": "30425180"}, {"ref": "eunsunglim/getting-started-with-titanic", "kernel_id": "30332227"}, {"ref": "academy4440/cse-titanic-test-tau", "kernel_id": "30071768"}, {"ref": "zubairrahmantusar/pyspark-for-data-science-personal", "kernel_id": "30073216"}, {"ref": "mikeyasnov/lesson-3", "kernel_id": "30925821"}, {"ref": "mikeyasnov/lesson2", "kernel_id": "30555464"}, {"ref": "taha07/fundamental-feature-engineering-techniques", "kernel_id": "30323634"}, {"ref": "omarsabouni/titanic-dataset-9-models-98-accuracy", "kernel_id": "30185863"}, {"ref": "aniarya/new-titanic", "kernel_id": "30929990"}, {"ref": "galdirreges/titanic-ingenuo", "kernel_id": "30908162"}, {"ref": "sebaeymohamed/titanic-eda", "kernel_id": "30528345"}, {"ref": "ahsanulislam/hello-data-analysis-and-prediction", "kernel_id": "30954570"}, {"ref": "vineetkumar98/titanic-competition-eda-prediction", "kernel_id": "30226275"}, {"ref": "aynaanquraishi/pyspark-classification-model", "kernel_id": "30741263"}, {"ref": "luigigiugliano/titanic-machine-learning-from-disaster", "kernel_id": "30911465"}, {"ref": "leekahwin/everything-about-decision-tree-classifier", "kernel_id": "30866381"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "chazzer/a-classy-clash-and-a-classic-classification", "kernel_id": "30264743"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-linear-regression", "kernel_id": "30877457"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "roozbehyousefnejad/step-by-step-solution-for-titanic-problem", "kernel_id": "30111881"}, {"ref": "muhammadbilalhaneef/titanic-eda-logistics-regression-decision-tree", "kernel_id": "30283504"}, {"ref": "tracyporter/explore-titanic", "kernel_id": "30237763"}, {"ref": "malikshub/getting-started-with-titanic-first-submission", "kernel_id": "30791821"}, {"ref": "malikshub/basics-of-arithmetic-and-variables-in-python", "kernel_id": "30790743"}, {"ref": "noamiw/titanic", "kernel_id": "30891433"}, {"ref": "marcovchain/titanic-tutorial-msh", "kernel_id": "30610979"}, {"ref": "mayurgite/python-for-data-23-confidence-intervals", "kernel_id": "30119100"}, {"ref": "biswaranjanrao/titanic-disaster-using-ml-algorithm", "kernel_id": "30262196"}, {"ref": "proknee/titanic-xgboost", "kernel_id": "30138058"}, {"ref": "oybekeraliev/hyperparameter-tuning-in-titinic-with-rf-regressor", "kernel_id": "30946187"}, {"ref": "nobuakiotani/tutorial-05-tuning", "kernel_id": "30264895"}, {"ref": "nobuakiotani/tutorial-04-lightgbm", "kernel_id": "30264733"}, {"ref": "aklimarimi/classification-the-handbook", "kernel_id": "30103962"}, {"ref": "conradtsmith/ml-comp-1", "kernel_id": "30293159"}, {"ref": "sondrevatnebryn/titanic-ml", "kernel_id": "30529520"}, {"ref": "abdulkabir/titanic-dataset-prediction-ml", "kernel_id": "30901654"}, {"ref": "abedsultan/voting-of-3-models-poly-log-reg-rand-forest-knn", "kernel_id": "30146392"}, {"ref": "aikeshakeutayeva/titanic-ml-prediction-for-beginners-with-eda", "kernel_id": "30945925"}, {"ref": "miyaryj/titanic-2022-06-23-ex", "kernel_id": "30883647"}, {"ref": "krcsoft/titanicisishere", "kernel_id": "30736251"}, {"ref": "rizkynindra/task-titanic-datapreprocessing", "kernel_id": "30997615"}, {"ref": "rizkynindra/titanic-digitemy-datapreprocessing", "kernel_id": "30997043"}, {"ref": "rizkynindra/pertemuan-08-titanic-notebook-digitemy", "kernel_id": "30135083"}, {"ref": "navi19/titanic-dataset-analysis", "kernel_id": "30653739"}, {"ref": "virgil7/tutorial-0", "kernel_id": "30328056"}, {"ref": "yijiecao/titanic-prediction-ensemble-accuracy-0-83", "kernel_id": "30706511"}, {"ref": "hgchhrnb85/titanic-for-practice-base", "kernel_id": "30697870"}, {"ref": "roscopikotrain/k-nearest-neighbour-for-data-imputation", "kernel_id": "30324520"}, {"ref": "alexandrtchk/titanic-deep-feature-analysis", "kernel_id": "30559481"}, {"ref": "wonchanleee/titanic-eda", "kernel_id": "30099288"}, {"ref": "ajwebdev/exercise-arithmetic-and-variables", "kernel_id": "30638938"}, {"ref": "hikmatullahmohammadi/titanic-survival-ensemble-modeling-feature-eng", "kernel_id": "30592968"}, {"ref": "neesham/nlp-for-beginners", "kernel_id": "30979766"}, {"ref": "askalmamun/titanic", "kernel_id": "30577970"}, {"ref": "micheldc55/tutorial-data-science-matplotlib-y-seaborn", "kernel_id": "30773842"}, {"ref": "pallavidacre/ml-homework-1-titanic", "kernel_id": "30291334"}, {"ref": "zahrafazel/titanic-disaster", "kernel_id": "30590853"}, {"ref": "abdullahshoukat/titanic-predictions", "kernel_id": "30468333"}, {"ref": "rajkachhadiya/titanic-data", "kernel_id": "30511426"}, {"ref": "kulkarnichaitanya/logistic-regression-on-titanic", "kernel_id": "30772885"}, {"ref": "matthewmuju/titanic-prediction-2", "kernel_id": "30005019"}, {"ref": "reysajeremiajanis/titanic-data-science-solutions-cf83c9", "kernel_id": "30193708"}, {"ref": "maryanedidone/titanic-competition-mary", "kernel_id": "30372969"}, {"ref": "elshadai/titanic-data-science-solution", "kernel_id": "30004787"}, {"ref": "hossamsaoud/fork-of-notebook231c44668f", "kernel_id": "30739522"}, {"ref": "hossamsaoud/titanic-diaster-predictions", "kernel_id": "30460956"}, {"ref": "aadarshbhalerao/titanic-ml-easy-to-understand-lev-beginner", "kernel_id": "30316036"}, {"ref": "omarghazy56/titanic-data-eda-and-ml", "kernel_id": "30364583"}, {"ref": "chandruuk/titanic-machine-learning", "kernel_id": "30817563"}, {"ref": "ernestosanchez/getting-started-with-titanic", "kernel_id": "30137435"}, {"ref": "sayowabdielpieroh/testtitanic", "kernel_id": "30193274"}, {"ref": "sherimanenrique/titanic-data-solution", "kernel_id": "30005054"}, {"ref": "sherimanenrique/assignment-1-sheriman-enrique", "kernel_id": "30318142"}, {"ref": "matheusmoreiradiniz/titanic", "kernel_id": "30538555"}, {"ref": "mohdazampasha/gradient-boost-classifier", "kernel_id": "30480204"}, {"ref": "mohdazampasha/randomforest-classfier", "kernel_id": "30298923"}, {"ref": "mohdazampasha/xgboost-classifier", "kernel_id": "30838252"}, {"ref": "shiwenamazing/titanic", "kernel_id": "30631701"}, {"ref": "stephanhanada/eda-random-forest-and-adaboost", "kernel_id": "30091481"}, {"ref": "venisatewu/titanic-data-science-solution", "kernel_id": "30004808"}, {"ref": "mertadgn/titanic-comp", "kernel_id": "30548963"}, {"ref": "roshan81/titanic-prediction-random-forest", "kernel_id": "30926605"}, {"ref": "madhumithakr/titanic", "kernel_id": "30931305"}, {"ref": "shubhambedi/titanic-prediction", "kernel_id": "30263512"}, {"ref": "suvinkollabathula/suvin-titanic-dataset", "kernel_id": "30193881"}, {"ref": "benvanderheiden/ml-1-ws-3-titanic", "kernel_id": "30071856"}, {"ref": "jayaganesan/my-first-notebook-submission-for-titanic", "kernel_id": "30191505"}, {"ref": "shadowhat/exercise-titanic", "kernel_id": "30612302"}, {"ref": "jiaruizhangjerry/pyspark-for-data-science", "kernel_id": "30775011"}, {"ref": "bhatnagardaksh/gradient-descent-from-scratch", "kernel_id": "30714002"}, {"ref": "cleytoncandeira/titanic-survived-xgboost", "kernel_id": "30149176"}, {"ref": "ridamahmood005/basic-regression-techniques-in-supervised-learning", "kernel_id": "30391073"}, {"ref": "aditya9790/titanic-survivors-eda-submission", "kernel_id": "30857384"}, {"ref": "anassaleh98/titanic-solution", "kernel_id": "30876327"}, {"ref": "mryadav/titanic-ml-prediction", "kernel_id": "30388644"}, {"ref": "shreshthajitdas/firsttuto", "kernel_id": "30127974"}, {"ref": "mahidul1slam/exercise-arithmetic-and-variables", "kernel_id": "30300099"}, {"ref": "sandhiya20/titanic-ml-from-disaster-rf", "kernel_id": "30391736"}, {"ref": "sandhiya20/titanic-demo", "kernel_id": "30392173"}, {"ref": "yinn94/tatianic", "kernel_id": "30538088"}, {"ref": "mdbodrulalam/survival-prediction-ml-with-explained-in-details", "kernel_id": "30552044"}, {"ref": "rabeegheni/titanic-kaggle-notebook", "kernel_id": "30097231"}, {"ref": "gabrielffranco/deducing-age-and-survival-change-using-keras-nn", "kernel_id": "30715015"}, {"ref": "mrbisht/plotly-visual-plots-first-notebook", "kernel_id": "30098392"}, {"ref": "sakshamparashar/easy-approach-to-titanic-survival-prediction", "kernel_id": "30074714"}, {"ref": "melodyhalbert/hw1-machine-learning", "kernel_id": "30127918"}, {"ref": "ohmygoshyash/hw1-titanic-data-science-edit", "kernel_id": "30310156"}, {"ref": "ohmygoshyash/hw-2-supervised-learning", "kernel_id": "30967731"}, {"ref": "kimberlyhanson/kh-titanic", "kernel_id": "30537464"}, {"ref": "lazer999/ml-pipelines-simplified-for-everyone", "kernel_id": "30999806"}, {"ref": "kalelpark/meta-pseudo-label-for-korean", "kernel_id": "30750608"}, {"ref": "solasky/titanic-stacking-gridsearchcv", "kernel_id": "30971493"}, {"ref": "prashanthkatakam001/titanic-ml-competition", "kernel_id": "30872632"}, {"ref": "drrajkulkarni/titanic-pytorch-fc", "kernel_id": "30550913"}, {"ref": "drrajkulkarni/titanic-xg-lg-cat-with-stratifiedkfold", "kernel_id": "30071640"}, {"ref": "drrajkulkarni/titanic-xg-lg-catboost", "kernel_id": "30067139"}, {"ref": "sarasfitriyana/titanic-lr", "kernel_id": "30663590"}, {"ref": "kanishkakatiyar/titanic-survival-cat-boost-77-75-on-test", "kernel_id": "30265273"}, {"ref": "chopstician/notebook8446d12121", "kernel_id": "30398031"}, {"ref": "sanphats/titanic-survival-prediction-dnn", "kernel_id": "30460415"}, {"ref": "badaruddintunio/titanic-ml-model-regression", "kernel_id": "30699517"}, {"ref": "emirhaktan/emir-haktan-unal-titanik-bitirme-odevi", "kernel_id": "30397037"}, {"ref": "laithyahia/titanic-eda-and-data-visualization", "kernel_id": "30047844"}, {"ref": "laithyahia/titanic-data", "kernel_id": "30048769"}, {"ref": "shivanshumall/titanic-survival", "kernel_id": "30047093"}, {"ref": "rvaibhav/eda-and-logistic-regression-on-titanic-dataset", "kernel_id": "30870880"}, {"ref": "padmelaxmi/notebooke48ee79e2d", "kernel_id": "30797173"}, {"ref": "andreylyubchenko/titanic-v1", "kernel_id": "30952874"}, {"ref": "pawanpolcharoen/notebook4f4c158dc3", "kernel_id": "30986072"}, {"ref": "ganeshborkar31/plotly-visual-plots-first-notebook", "kernel_id": "30108168"}, {"ref": "ganeshborkar31/titanic", "kernel_id": "30388676"}, {"ref": "theowalcot/logistic-regression-on-the-titanic-problem", "kernel_id": "30773262"}, {"ref": "saheerahmedshaik/shaik-saheer-ahmed-20mia1143", "kernel_id": "30220727"}, {"ref": "maheshnanavare/titanic-using-pipelined-xgboost-gridsearch", "kernel_id": "30933952"}, {"ref": "gopipriyanka/titanic-data-science-solutions", "kernel_id": "30317144"}, {"ref": "aliashour/titanic", "kernel_id": "30308394"}, {"ref": "mahmoudashraf1/ml-pred", "kernel_id": "30293350"}, {"ref": "robairgaras/titanic-predictions", "kernel_id": "30133868"}, {"ref": "a63768/titanic-randomforestclassifier-solution", "kernel_id": "30924979"}, {"ref": "prasadposture121/randomforestclassifier", "kernel_id": "30902002"}, {"ref": "prasadposture121/titanic-a-data-backed-story", "kernel_id": "30264492"}, {"ref": "yuutahasegawa/titanic", "kernel_id": "30815612"}, {"ref": "abdelrahmanmelsayed/beginner-titanic-top-8", "kernel_id": "30461306"}, {"ref": "adarshkt/eda-logistic-regression", "kernel_id": "30374005"}, {"ref": "tz3r0n4r/logistic-regression", "kernel_id": "30978791"}, {"ref": "ahmedmettwally/titanic-data-analysis", "kernel_id": "30232587"}, {"ref": "kafkarps/model-on-titanic-dataset", "kernel_id": "30614046"}, {"ref": "beinginvincible/titanic-ml-from-disaster-using-tensorflow", "kernel_id": "30607254"}, {"ref": "angelgortiz/titanic-competition", "kernel_id": "30925038"}, {"ref": "szymonsmg/titanicprediction", "kernel_id": "30912702"}, {"ref": "gustavolenin/titanic-logistic-regression", "kernel_id": "30031800"}, {"ref": "abdelrahmankatkat/titanic-competition", "kernel_id": "30690643"}, {"ref": "manishwahale/getting-started-with-pyspark", "kernel_id": "30965825"}, {"ref": "jopiegaghana/data-science-programming-titanic", "kernel_id": "30193812"}, {"ref": "a1433223/titanic-randomforest-deeplearning", "kernel_id": "30944348"}, {"ref": "khashayarrahimi94/no-ml-just-statistical-analysis", "kernel_id": "30637667"}, {"ref": "mahatalaat/titanic", "kernel_id": "30453564"}, {"ref": "andersonsumaga/assignment-1-sumaga-anderson-valentino", "kernel_id": "30319638"}, {"ref": "yosafatyuliusriders/titanic-data-science-solutions-test", "kernel_id": "30193477"}, {"ref": "gohakneung/exercise-arithmetic-and-variables", "kernel_id": "30522167"}, {"ref": "guymccroy/guy-titanic-ml-submission", "kernel_id": "30192551"}, {"ref": "serkanp/sinking-of-titanic-analysis", "kernel_id": "30653566"}, {"ref": "serkanp/logisticregression-accuracy-78", "kernel_id": "30148452"}, {"ref": "adrianwu0131/notebook5c857dab35", "kernel_id": "30102334"}, {"ref": "ahmad1993/titanic-9-model", "kernel_id": "30505728"}, {"ref": "srvsakshi03/datamining-titanictermproject-final", "kernel_id": "30990155"}, {"ref": "quentin42fr/sklean-pipeline-gridsearchcv-and-votingclassifier", "kernel_id": "30307031"}, {"ref": "rohanmohanty/titanic-prediction", "kernel_id": "30586530"}, {"ref": "croissanito/getting-started-with-titanic", "kernel_id": "30152767"}, {"ref": "croissanito/first-attempt-at-titanic-competition", "kernel_id": "30289686"}, {"ref": "ankitaarvinddeshmukh/an-interactive-data-science-tutorial", "kernel_id": "30197416"}, {"ref": "gehallak/titanic-ensemble", "kernel_id": "30079900"}, {"ref": "gehallak/titanic-lgbm", "kernel_id": "30079386"}, {"ref": "gehallak/titanic-xgb", "kernel_id": "30009599"}, {"ref": "galipargun/galip-titanic-eda", "kernel_id": "30626770"}, {"ref": "arvynathaniel/titanic-survivability-prediction-various-inputs", "kernel_id": "30607639"}, {"ref": "diplod0cus/airline-passenger-data-time-series-analysis", "kernel_id": "30124762"}, {"ref": "tngnguyen/my-first-titanic-dataset-with-accuracy-98", "kernel_id": "30982356"}, {"ref": "shuaibian/titanic-decision-tree", "kernel_id": "30348473"}, {"ref": "vincentbrunner/ml-from-scratch-naive-bayes", "kernel_id": "30429546"}, {"ref": "chennugovind/an-interactive-data-science-tutorial", "kernel_id": "30340334"}, {"ref": "hadeelabbar/decision-tree-model-titanic", "kernel_id": "30138912"}, {"ref": "renatakuagowska/titanic-13-models-tunned", "kernel_id": "30616330"}, {"ref": "emreyldzolu/titanic-random-forests-gbm-xgboost", "kernel_id": "30614598"}, {"ref": "aaronsilberman/titanic-eda-ml-models", "kernel_id": "30994209"}, {"ref": "albertovidalrod/titanic-traditional-ml-gbt-and-neural-network", "kernel_id": "30058520"}, {"ref": "troybernie/titanic-machine-learning-from-disaster-83-4", "kernel_id": "30557238"}, {"ref": "ariefrachmanhakim/exercise-arithmetic-and-variables", "kernel_id": "30864183"}, {"ref": "prateekkumarsingh025/titanic-survival-prediction", "kernel_id": "30482539"}, {"ref": "anjuajay/titanicproject", "kernel_id": "30976899"}, {"ref": "sajalsharma26/is-the-fruit-rotten-or-not", "kernel_id": "30115107"}, {"ref": "hardeybisey/machine-learning-on-titanic-dataset", "kernel_id": "30262311"}, {"ref": "sukjincho/20224188", "kernel_id": "30136104"}, {"ref": "arancium/titanic-regression-svm-random", "kernel_id": "30345941"}, {"ref": "usamabalochhh/comprehensive-guide-to-solve-tabular-problem", "kernel_id": "30103711"}, {"ref": "anastasyasumayku/titanic-data-science-solution1", "kernel_id": "30133688"}, {"ref": "jordanroytirukan/data-science-programming-assignment1", "kernel_id": "30319529"}, {"ref": "chrisnovpalalangan/data-science-programming-titanic", "kernel_id": "30193687"}, {"ref": "marcinrutecki/titanic-deep-learning-tensorflow-solution-v1-0", "kernel_id": "30976121"}, {"ref": "marcelhaerani/assignment-1", "kernel_id": "30319682"}, {"ref": "alvinchowcm/getting-started-with-titanic", "kernel_id": "30071482"}, {"ref": "omarreess/titanic-competition-model-selection", "kernel_id": "30461777"}, {"ref": "abyannaufal27/titanic-xgboost-prediction", "kernel_id": "30056959"}, {"ref": "yanesheodora28/assignment-1-2-data-science-programming", "kernel_id": "30317566"}, {"ref": "novrando/data-science-titanic", "kernel_id": "30193677"}, {"ref": "kristinpainter1/kristinpainter-assignment4", "kernel_id": "30404942"}, {"ref": "hossamgalal68/random-forest-titanic-score-0-8740", "kernel_id": "30247415"}, {"ref": "h0sseinkarami/titanic-with-mlp", "kernel_id": "30806558"}, {"ref": "ritiksachdev/titanic", "kernel_id": "30299968"}, {"ref": "sauravmishraa/titanic", "kernel_id": "30380424"}, {"ref": "amitbakde/titanic-project", "kernel_id": "30609763"}, {"ref": "kamranmshaikh/titanic-logistic-regression-decisiontree-svm-etc", "kernel_id": "30073046"}, {"ref": "kukudexin/titanic-prediction-train", "kernel_id": "30197354"}, {"ref": "tmleyncodes/titanic-machine-learning-from-disaster", "kernel_id": "30513963"}, {"ref": "ainsleydelrosario/analysis-of-titanic-dataset", "kernel_id": "30361629"}, {"ref": "amiralikhan01/titanic-survivors", "kernel_id": "30293655"}, {"ref": "aiquanhuy/titanic-simple-solution", "kernel_id": "30477526"}, {"ref": "miroslavkirnak/titanic-neural-networks-top-5", "kernel_id": "30758384"}, {"ref": "rushikeshnale/eda-on-titanic-dataset", "kernel_id": "30276350"}, {"ref": "nobodymartin/practice-with-visualization-eda-xgb-in-ds", "kernel_id": "30727821"}, {"ref": "nobodymartin/lightgbm-explanation-practice-with-dataset", "kernel_id": "30786405"}, {"ref": "jungtaekchoi/notebookabca16669a", "kernel_id": "30973255"}, {"ref": "sondosmohamedsaid/titanic", "kernel_id": "30905479"}, {"ref": "friendlymaabuat/titanic-data-science-solutions", "kernel_id": "30693933"}, {"ref": "friendlymaabuat/titanic-data-science", "kernel_id": "30193511"}, {"ref": "srijabhattacharyya/titanic-survival-prediction", "kernel_id": "30478912"}, {"ref": "deveshnegi/simple-titanic-prediction", "kernel_id": "30666328"}, {"ref": "brunocprado/catboostclassifier-in-titanic-ml-competition", "kernel_id": "30802164"}, {"ref": "maxtang123/the-simple-feature-engine-of-titanic", "kernel_id": "30247728"}, {"ref": "tmtsmrsl/titanic-project", "kernel_id": "30195770"}, {"ref": "johnsonchishimba/titanic-machine-learning", "kernel_id": "30651084"}, {"ref": "mikhailsukhanov55/titanic-eda-ml-and-categorical-feature-encoding", "kernel_id": "30434094"}, {"ref": "mikhailsukhanov55/titanic-fe-data-cleaning-and-models-testing", "kernel_id": "30727382"}, {"ref": "manojgharge07/underfitting-and-overfitting", "kernel_id": "30668818"}, {"ref": "manojgharge07/celsius-to-fahrenheit", "kernel_id": "30933032"}, {"ref": "manojgharge07/cross-validation-and-hyperparameter-tuning", "kernel_id": "30398793"}, {"ref": "manojgharge07/rain-prediction-analysis-in-aus", "kernel_id": "30397660"}, {"ref": "manojgharge07/anomaly-detection-using-isolation-forest-and-local", "kernel_id": "30399271"}, {"ref": "manojgharge07/cafe-in-bangalore", "kernel_id": "30373080"}, {"ref": "manojgharge07/wheat-seeds-decission-tree-implementation", "kernel_id": "30398129"}, {"ref": "manojgharge07/data-of-us-airline-tweets", "kernel_id": "30396633"}, {"ref": "sushilyeotiwad/crop-recommendation-end-to-end-lr-accurecy-97-58", "kernel_id": "30591005"}, {"ref": "sushilyeotiwad/bostondata-target-binning-apply-logisticregression", "kernel_id": "30603223"}, {"ref": "sushilyeotiwad/opening-a-new-coffee-shop-in-bangalore-india", "kernel_id": "30633695"}, {"ref": "sushilyeotiwad/calibration-curve-concept-and-its-implementation", "kernel_id": "30715287"}, {"ref": "sushilyeotiwad/titanic-eda-python-with-lrg-feature-selection", "kernel_id": "30763286"}, {"ref": "sushilyeotiwad/dtrees-implementation-classsificationandregression", "kernel_id": "30790651"}, {"ref": "devikasrinivas/part-1-data-preprocessing", "kernel_id": "30949339"}, {"ref": "bansodesandeep/multilabel-classification-cnn-dnn-lstm", "kernel_id": "30783983"}, {"ref": "bansodesandeep/credit-card-default-prediction", "kernel_id": "30687381"}, {"ref": "bansodesandeep/netflix-movies-and-tv-shows-clustering", "kernel_id": "30641163"}, {"ref": "bansodesandeep/topic-modeling-with-bert", "kernel_id": "30404736"}, {"ref": "bansodesandeep/nlp-predicting-sentiment-of-covid-19-tweets", "kernel_id": "30444851"}, {"ref": "bansodesandeep/ml-advanced-ensemble-techniques-stacking-bagging", "kernel_id": "30041695"}, {"ref": "yehorkorzh/titanic-prediction", "kernel_id": "30424981"}, {"ref": "harbaldeepsidhu/titanic-learn-from-beginning", "kernel_id": "30367932"}, {"ref": "harbaldeepsidhu/data-science-for-beginners", "kernel_id": "30525957"}, {"ref": "rickkmr/titanic", "kernel_id": "30438728"}, {"ref": "corazon17/introducing-ds-tool-streamlit", "kernel_id": "30869762"}, {"ref": "munch17/titanicsurvivalpredictions-usingml", "kernel_id": "30379334"}, {"ref": "shabareesharyan/titanicproblem-for-beginners-88-acc", "kernel_id": "30387972"}, {"ref": "datascience77/titanic-machine-learning-from-disaster-knn-lr", "kernel_id": "30052972"}, {"ref": "julihkim/with-r", "kernel_id": "30863565"}, {"ref": "girishvutukuri/exercise-titanic-survival-predictions", "kernel_id": "30444916"}, {"ref": "dhruvborkar/titanic-ml-competition", "kernel_id": "30972222"}, {"ref": "remoh007/random-forest-model-input-variable-variations", "kernel_id": "30260803"}, {"ref": "mohammedlajam/titanic-ml", "kernel_id": "30290604"}, {"ref": "damianlarocque/titanic-svm", "kernel_id": "30505878"}, {"ref": "damianlarocque/titanic-preprocessing", "kernel_id": "30156073"}, {"ref": "damianlarocque/titanic-rf", "kernel_id": "30568940"}, {"ref": "cbhavik/score-0-79665-titanic-xgb-forest-top-3", "kernel_id": "30125158"}, {"ref": "markagaba/the-titanic", "kernel_id": "30390645"}, {"ref": "shivamsaket/titanic-101", "kernel_id": "30565271"}, {"ref": "hasancannesanr/eda-and-feature-engineering-gbm-84-accuracy", "kernel_id": "30179231"}, {"ref": "simaydl1294/titanic-xgb-classifier", "kernel_id": "30365694"}, {"ref": "shashankijeri/exercise-arithmetic-and-variables", "kernel_id": "30049981"}, {"ref": "jacklacey/titanic-predictions-top-10", "kernel_id": "30403995"}, {"ref": "bellapisani/ken-jee-thinking-through-a-data-project", "kernel_id": "30108550"}, {"ref": "yuhexiong/titanic-logistic-regression", "kernel_id": "30862395"}, {"ref": "praveenkb333/p-titanic-survivor-prediction", "kernel_id": "30975002"}, {"ref": "baihan/titanic-competition-forest-model", "kernel_id": "30938440"}, {"ref": "mmiirrkk/titanic-competition-first", "kernel_id": "30529409"}, {"ref": "manojgowda65/titanic-prediction-79-accuracy-on-unknown-set", "kernel_id": "30239793"}, {"ref": "saurabhchaturvedi08/titanic-survival-prediction", "kernel_id": "30867774"}, {"ref": "yashpaloswal/score-0-78229-top-15-titanic-g-b-gridsearchcv", "kernel_id": "30154583"}, {"ref": "deepshikha0105/titanic-survived-ml", "kernel_id": "30292274"}, {"ref": "khyatigajera/titanic-eda-knn", "kernel_id": "30452757"}, {"ref": "raushankumarpandey/a-complete-pandas-tutorial", "kernel_id": "30474551"}, {"ref": "kamunyoko/titanic-prediction-3", "kernel_id": "30058575"}, {"ref": "alexkollaritsch/titanic-ml-project-xgbclassifier", "kernel_id": "30246435"}, {"ref": "aromaticaxyz/titanic-tutorial", "kernel_id": "30187583"}, {"ref": "rengalakshmanan/titanic-survival-prediction-and-analysis", "kernel_id": "30629157"}, {"ref": "okwepeaceoheobe/getting-started-with-titanic", "kernel_id": "30822723"}, {"ref": "jonahbradenday/titanic-passenger-analysis", "kernel_id": "30552601"}, {"ref": "huseyincosgun/eda-visualization-skills", "kernel_id": "30268119"}, {"ref": "hs1097/titanic-notebook-harshit", "kernel_id": "30932268"}, {"ref": "sohileadel/titanic-classification-problem", "kernel_id": "30770730"}, {"ref": "indranilch2014/titanic-submit-notebook1", "kernel_id": "30803181"}, {"ref": "anthonyokolo/titanic-competition", "kernel_id": "30148673"}, {"ref": "shehabemad2/titanic-top-7-via-neural-network-in-depth-eda", "kernel_id": "30249315"}, {"ref": "uumutsezerr/titanic-eda", "kernel_id": "30056598"}, {"ref": "sienlong/titanic-random-forest-and-decision-tree", "kernel_id": "30690127"}, {"ref": "manu135/titanic-survival", "kernel_id": "30861992"}, {"ref": "jankolagaly/linear-model-and-neural-net-from-scratch", "kernel_id": "30984344"}, {"ref": "saranshgupta2112/exercise-arithmetic-and-variables", "kernel_id": "30451130"}, {"ref": "ahmadjalalmasood123/titanic-survival-prediction-with-stacking-ensemble", "kernel_id": "30989839"}, {"ref": "benchun99/titanic", "kernel_id": "30603164"}, {"ref": "barualyric/0831note", "kernel_id": "30003079"}, {"ref": "barualyric/sept-titanic-classifiers", "kernel_id": "30758791"}, {"ref": "himanshuyogi/titanic-logistic-regression", "kernel_id": "30785481"}, {"ref": "timothymombilia/assigment-1", "kernel_id": "30236572"}, {"ref": "oussamakhaliltouihri/using-decisiontreeclassifier-criterion-gini", "kernel_id": "30341460"}, {"ref": "jagan8/notebookb46dfa8140", "kernel_id": "30927759"}, {"ref": "qqqqqqas/titanic", "kernel_id": "30687313"}, {"ref": "barankutluay/titanic-visualisation", "kernel_id": "30278954"}, {"ref": "barankutluay/titanic-eda", "kernel_id": "30097140"}, {"ref": "barankutluay/machine-learning-models-on-titanic", "kernel_id": "30646898"}, {"ref": "barankutluay/data-preprocessing-of-titanic", "kernel_id": "30646470"}, {"ref": "onurbr/titanic-examination", "kernel_id": "30236153"}, {"ref": "kaganny/titanic-stats", "kernel_id": "30097410"}, {"ref": "kaganny/visulation-of-titanic-stats", "kernel_id": "30409000"}, {"ref": "givergapanambunan/panambunan-giver-code-data-science-a", "kernel_id": "30203346"}, {"ref": "blalbora/linear-reg-beg", "kernel_id": "30158691"}, {"ref": "purnataghosal/first-kaggle-nb-with-titanic", "kernel_id": "30018284"}, {"ref": "sangaririchard/titanic-data-science", "kernel_id": "30005097"}, {"ref": "wahyuagungbudiyanto/testing-in-class-titanic-dataset", "kernel_id": "30193902"}, {"ref": "pierrejerichoeffendy/assignment-1", "kernel_id": "30319898"}, {"ref": "pierrejerichoeffendy/test-1", "kernel_id": "30751997"}, {"ref": "carlodinojohsua/data-science-solution", "kernel_id": "30193761"}, {"ref": "gedeyogisuryakirana/assignment-1", "kernel_id": "30319786"}, {"ref": "ve3cle/raycle-codes", "kernel_id": "30004753"}, {"ref": "itoubillyliando/titanic", "kernel_id": "30193792"}, {"ref": "itoubillyliando/titanic-data-science-solution", "kernel_id": "30193631"}, {"ref": "meghabothe/titanic", "kernel_id": "30017605"}, {"ref": "ashx010/titanic-data-analysis-and-model-deployment", "kernel_id": "30630579"}, {"ref": "jamalcao/titanic-0910", "kernel_id": "30293510"}, {"ref": "jamarks13/notebookdaf29d5a75", "kernel_id": "30020912"}, {"ref": "anchien/titanic-ml-from-disaster", "kernel_id": "30057755"}, {"ref": "rushikeshsawarkar/titanic-survival-using-logistic-regression", "kernel_id": "30018141"}, {"ref": "rushikeshsawarkar/score-0-79425-titanic-eda-prediction-explained", "kernel_id": "30303813"}, {"ref": "andresalvear/titanic", "kernel_id": "30089922"}, {"ref": "destinybailey/titanic-classification-crewe", "kernel_id": "30293707"}, {"ref": "yepperdev/notebookf07b7fb168", "kernel_id": "30191741"}, {"ref": "aieducation/titanic-eda-xgboost-gridsearchcv", "kernel_id": "30943450"}, {"ref": "aieducation/titanic-eda-lightgbm-gridsearchcv", "kernel_id": "30822383"}, {"ref": "parkergagliano/notebook25c946b3fa", "kernel_id": "30481192"}, {"ref": "ramneshsingh/titanic-survival-prediction", "kernel_id": "30424246"}, {"ref": "vishu2000/titanic-eda-and-modelling", "kernel_id": "30164622"}, {"ref": "sudohumberto/first-steps-titanic", "kernel_id": "30040790"}, {"ref": "bhartidongre/titanic", "kernel_id": "30263414"}, {"ref": "yosradridi270/titanic-survival-predictive-analysis", "kernel_id": "30081733"}, {"ref": "lgiskes/titanic-data-analysis", "kernel_id": "30068785"}, {"ref": "ponco2/notebookb6e6abdad7", "kernel_id": "30146776"}, {"ref": "atikahsyifa/exercise-arithmetic-and-variables", "kernel_id": "30074380"}, {"ref": "muhammadfahmi0019/group-2-titanic-ml-python-ios-mes", "kernel_id": "30115446"}, {"ref": "muhammadfahmi0019/mes-ios-2", "kernel_id": "30235740"}, {"ref": "gahdheud/titanic", "kernel_id": "30724632"}, {"ref": "anforsm/titanic", "kernel_id": "30098821"}, {"ref": "akshaysadpuria/titanic1", "kernel_id": "30094198"}, {"ref": "gabrielko/titanic-dev", "kernel_id": "30097407"}, {"ref": "aletbm/titanic-eda-and-feature-engineering", "kernel_id": "30836514"}, {"ref": "robertgambee/titanic-challenge", "kernel_id": "30102046"}, {"ref": "ivanandreevets/titanic", "kernel_id": "30103636"}, {"ref": "rakuwa/fillna-age-by-using-dmatrix-predict-by-using-lgb", "kernel_id": "30226737"}, {"ref": "tmsong/20224045", "kernel_id": "30136087"}, {"ref": "norbertogoizueta/titanic-prediction", "kernel_id": "30151080"}, {"ref": "diaaessam/titanic-problem-tutorial", "kernel_id": "30636649"}, {"ref": "emirhancibir/titanic-eda", "kernel_id": "30581408"}, {"ref": "hardikchugh/titanic-data-science-code-run", "kernel_id": "30270008"}, {"ref": "devesh6388/exercise-arithmetic-and-variables", "kernel_id": "30619777"}, {"ref": "danmateas/dm-titanic", "kernel_id": "30737744"}, {"ref": "acidburnmilton/msd2022006", "kernel_id": "30714616"}, {"ref": "tanbarry/ic3-jt", "kernel_id": "30249901"}, {"ref": "lineshmalkam/titanic-notebook", "kernel_id": "30914704"}, {"ref": "salmtcat/compare-rf-svc-dt-gnb-mnb-and-log-algorithms", "kernel_id": "30287625"}, {"ref": "camillashoosmith/who-will-survive-random-tree-classification", "kernel_id": "30349482"}, {"ref": "christopherhinkle/titanic-warmup-comp", "kernel_id": "30506663"}, {"ref": "nikhithakonda/notebookc316699706", "kernel_id": "30569635"}, {"ref": "nikhithakonda/titanic-data-science-solutions", "kernel_id": "30316626"}, {"ref": "dhanashreedshinde/titanic-ds-ml", "kernel_id": "30319721"}, {"ref": "jannieserdio/titanic-v01", "kernel_id": "30375605"}, {"ref": "bhoomikamathakala/ml-homework-1-titanic", "kernel_id": "30318358"}, {"ref": "rizkia14/a-complete-guide-to-k-nearest-neighbours", "kernel_id": "30958103"}, {"ref": "artyomrasskazov/getting-started-with-titanic", "kernel_id": "30610332"}, {"ref": "ayumuakagi/titanic-suvival-prediction", "kernel_id": "30347398"}, {"ref": "krishnakumari123/titanic-data-science-solution", "kernel_id": "30351540"}, {"ref": "elenakaliniuk/titanik-kaliniuk-elena", "kernel_id": "30742968"}, {"ref": "wappernari/my-first-tutorial-notebook-with-lightgbm", "kernel_id": "30722416"}, {"ref": "bai14mou/titanic-machine-learning-from-disaster-with-svm", "kernel_id": "30403070"}, {"ref": "timobrandt21/timo-titanic-challenge", "kernel_id": "30896313"}, {"ref": "anpikko3/titanic-my-first-analysis-for-japanese", "kernel_id": "30924903"}, {"ref": "maliquakamau/notebook23c227ab0e", "kernel_id": "30883014"}, {"ref": "kriothekaizoku/a-statistical-analysis-ml-workflow-of-titanic", "kernel_id": "30600289"}, {"ref": "kriothekaizoku/titanic-disaster-survival-prediction", "kernel_id": "30393471"}, {"ref": "hakkburakalk/titanic-eda", "kernel_id": "30519348"}, {"ref": "andreydrogal/titanic-survived-predict", "kernel_id": "30558972"}, {"ref": "sugrivambad/virats-71-centuries", "kernel_id": "30400775"}, {"ref": "sugrivambad/titanic-competition", "kernel_id": "30399369"}, {"ref": "rohomdipali/notebook9df88beda8", "kernel_id": "30414192"}, {"ref": "markannibrastama/titanic-passengers-survival-prediction", "kernel_id": "30440766"}, {"ref": "nehasawakar/nehatitanic", "kernel_id": "30421596"}, {"ref": "ismail61/titanic-eda", "kernel_id": "30618251"}, {"ref": "brianalvarez/brianalvareztitanickaggleproblem", "kernel_id": "30439808"}, {"ref": "poloarol/voting-classifier-titanic-analysis", "kernel_id": "30862350"}, {"ref": "mahmoudfawzyahmed/classification", "kernel_id": "30614385"}, {"ref": "abdalrhmanmohamed17/first-project-with-titanic", "kernel_id": "30501807"}, {"ref": "margaretmuthoni/titanic-survival-prediction", "kernel_id": "30609671"}, {"ref": "lmn8r27/kaggle-titanic-problem", "kernel_id": "30843873"}, {"ref": "adamlangevin/assignment4-kaggle-project", "kernel_id": "30504136"}, {"ref": "andrewayers/titaniccompetition", "kernel_id": "30508635"}, {"ref": "melvinchen/titanic-dl", "kernel_id": "30537263"}, {"ref": "tiansztianszs/my-titanic", "kernel_id": "30697442"}, {"ref": "gurcangurel07/getting-started-with-titanic-with-g-rcan", "kernel_id": "30520030"}, {"ref": "rjhansi/notebookfb7e3e50bd", "kernel_id": "30569729"}, {"ref": "grenmon/titanic-survival-prediction-using-neural-networks", "kernel_id": "30778907"}, {"ref": "spacehedgehog/improve-nn-model-step-by-step-pytorch", "kernel_id": "30596281"}, {"ref": "spacehedgehog/pytorch-k-fold-cross-validation-snippet", "kernel_id": "30952151"}, {"ref": "spacehedgehog/pytorch-nn-basic-code-mini-batch", "kernel_id": "30951034"}, {"ref": "spacehedgehog/pytorch-dataloader-valid-set-snippet", "kernel_id": "30944138"}, {"ref": "spacehedgehog/pytorch-drop-out-batch-normalize-snippet", "kernel_id": "30978822"}, {"ref": "spacehedgehog/pytorch-early-stop-snippet", "kernel_id": "30997754"}, {"ref": "emiltvede/titanic-first-try", "kernel_id": "30590159"}, {"ref": "sarahemiliehansen/titanic-tutorial-mgk604", "kernel_id": "30797151"}, {"ref": "mattravel/notebook3dd732dbca", "kernel_id": "30951136"}, {"ref": "parthmahendra/notebookfa5eb37a4f", "kernel_id": "30660413"}, {"ref": "rsummers85/titanic-survival-prob-analysis", "kernel_id": "30619249"}, {"ref": "rahayuqyu/30-day-ml-day-1", "kernel_id": "30844954"}, {"ref": "ahmadibraheeem/titanic-predictive-model", "kernel_id": "30834674"}, {"ref": "maxweissenbacher/titanic-using-fastai", "kernel_id": "30689270"}, {"ref": "benyameentharwat/randomforest-accuracy-82", "kernel_id": "30668208"}, {"ref": "v3607ookawasan/notebook354de7453d", "kernel_id": "30652304"}, {"ref": "pdminhk3/deep-learning-week-1", "kernel_id": "30655483"}, {"ref": "canellewagner/titanic-1", "kernel_id": "30662387"}, {"ref": "yongwooyoo/titanic-deep-nn", "kernel_id": "30702432"}, {"ref": "segunadedipe/titanic", "kernel_id": "30749265"}, {"ref": "stephanjaeckel/titanic-competition", "kernel_id": "30742010"}, {"ref": "alonathomas/exercise-arithmetic-and-variables", "kernel_id": "30710049"}, {"ref": "andrewyeomans/exercise-arithmetic-and-variables", "kernel_id": "30709904"}, {"ref": "megangoffin/exercise-arithmetic-and-variables", "kernel_id": "30709847"}, {"ref": "johnsiegfried/titanic-prediction-ensemble-accuracy-0-83", "kernel_id": "30738558"}, {"ref": "aashnaashahh1504/getting-started-with-titanic", "kernel_id": "30803210"}, {"ref": "priyankayj/randomforestclassifier-titanic", "kernel_id": "30772497"}, {"ref": "ahmoralev/mytit", "kernel_id": "30802975"}, {"ref": "ahmodaliev/my-titanic-note", "kernel_id": "30794450"}, {"ref": "indiarai/first-note", "kernel_id": "30797169"}, {"ref": "aadi94/titanic-predictive-model", "kernel_id": "30946385"}, {"ref": "alinoodholiner/mynote", "kernel_id": "30800583"}, {"ref": "markandeypathak/lab3-data-visualization", "kernel_id": "30994456"}, {"ref": "nargesfayazbakhsh/titanic-1", "kernel_id": "30850081"}, {"ref": "mariiakhokhlova/titanic", "kernel_id": "30894593"}, {"ref": "jbierenbroodspot/titanic", "kernel_id": "30906103"}, {"ref": "andreaswederkinck/andreas-ldh950-portfolio-1-b", "kernel_id": "30989802"}, {"ref": "crazydrduck/kaggle-titanic-notebook", "kernel_id": "30983822"}, {"ref": "aziztaktak/titanic-try1", "kernel_id": "30961144"}, {"ref": "livasaebye/first-model", "kernel_id": "30960612"}, {"ref": "kimfriis/titanic-ml-comp", "kernel_id": "30953339"}, {"ref": "pgn368/portfolio-1b-pgn", "kernel_id": "30978510"}, {"ref": "mariajappe/titanic-survival-fatality", "kernel_id": "30982496"}, {"ref": "karthikbabuvadloori/titanic", "kernel_id": "30996114"}, {"ref": "titericz/tabpfn-vs-xgboost-vs-rf-titanic-dataset", "kernel_id": "31659540"}, {"ref": "xiefei/01-titanic", "kernel_id": "31555339"}, {"ref": "cardosa1/data603-kaggle-quiz-cardosa", "kernel_id": "31948211"}, {"ref": "camlauf98/cl-titanic-submission", "kernel_id": "31601054"}, {"ref": "subidit/onboarding-kaggle-with-titanic", "kernel_id": "31898350"}, {"ref": "pitmaster/titanic-classification-task-using-autogluon", "kernel_id": "31805873"}, {"ref": "jwilda3/titanic-competition-classification-tree", "kernel_id": "31841240"}, {"ref": "emphymachine/titanic-survival-prediction-pjt", "kernel_id": "31954679"}, {"ref": "emamarela/notebookf2d9f185e0", "kernel_id": "31619405"}, {"ref": "aengelus/solving-titanic-challenge-automl", "kernel_id": "31274934"}, {"ref": "senkmp/tsne-umap-on-titanic-data-data-viz", "kernel_id": "31852039"}, {"ref": "suryathiru/mljams-1", "kernel_id": "31603204"}, {"ref": "vaishnavi21/titanic-survival-prediction", "kernel_id": "31990499"}, {"ref": "studentar/exercise-arithmetic-and-variables", "kernel_id": "31055843"}, {"ref": "seascape/correction-of-fare-variable", "kernel_id": "31764470"}, {"ref": "guiude/logit-approach-for-the-titanic-challenge-78-acc", "kernel_id": "31363824"}, {"ref": "anamiqbal152/notebook5dbbad573b", "kernel_id": "31838046"}, {"ref": "amitsonagra/titanic-svc", "kernel_id": "31307912"}, {"ref": "egorovm/notebookc34204eb53", "kernel_id": "31496300"}, {"ref": "atrisaxena/animated-way-of-visualization-ipyvizzu", "kernel_id": "31186575"}, {"ref": "jhaanuj2108/titanic-notebook", "kernel_id": "31884421"}, {"ref": "derslerytu/titanic-deep-learning", "kernel_id": "31872284"}, {"ref": "noahholl/tabpfn-vs-xgboost-vs-rf-titanic-dataset-2e2221", "kernel_id": "31979122"}, {"ref": "noahholl/tabpfn-vs-xgboost-vs-rf-titanic-dataset", "kernel_id": "31979296"}, {"ref": "anushasudhakar/titanic-survival-prediction", "kernel_id": "31658046"}, {"ref": "tutama/mci-titanic-ml-introduction-fall-2022-ft", "kernel_id": "31454967"}, {"ref": "gabrielbmartini/titanic-sklearn-estimators-k-fold-cv-and-hpo", "kernel_id": "31706665"}, {"ref": "brandonsfick/bsf-titanic-v01", "kernel_id": "31361891"}, {"ref": "brandonsfick/bsf-titanic-submission", "kernel_id": "31511526"}, {"ref": "gameatro/titanic-survival-prediction", "kernel_id": "31443080"}, {"ref": "nikhilsanthapur/titanic-survivor-improved-predictions", "kernel_id": "31023920"}, {"ref": "stpeteishii/titanic-mlp", "kernel_id": "31827447"}, {"ref": "trancuong59196/cuongtm27-titanic-machine-learning", "kernel_id": "31441769"}, {"ref": "fold10/simple-logistic-regression", "kernel_id": "31278949"}, {"ref": "yalcinmehmet/titanic-sub", "kernel_id": "31345058"}, {"ref": "jaspritsingh/titanic-survival-prediction", "kernel_id": "31864110"}, {"ref": "jefftflearn/that-ship", "kernel_id": "31131272"}, {"ref": "susant4learning/titanic-disastor-complete-analysis-rf-0-94", "kernel_id": "31394027"}, {"ref": "nooruddinqur/titanic-disaster", "kernel_id": "31119952"}, {"ref": "rababazeem/node-onboarding-walkthough", "kernel_id": "31446057"}, {"ref": "furkannakdagg/adversarial-validation-nedir-nas-l-kullan-l-r", "kernel_id": "31333533"}, {"ref": "jcr80x/titanic-and-knn", "kernel_id": "31622141"}, {"ref": "gitanjali1425/titanic", "kernel_id": "31214214"}, {"ref": "reisecat/titanic-rfc-accuracy-score-0-79665-top-5", "kernel_id": "31680197"}, {"ref": "jordirosell/titanic-tabpfn-vs-rf", "kernel_id": "31618146"}, {"ref": "anabelberumen/prediction-random-forest-logistic-regression", "kernel_id": "31669525"}, {"ref": "samuelgyamfi/tackling-the-titanic-problem-with-decision-trees", "kernel_id": "31460925"}, {"ref": "andrejzuba/titanic-competition-solution-quick-0-8-result", "kernel_id": "31931669"}, {"ref": "maifeeulasad/tfa-multioptimizer-model-save", "kernel_id": "31492699"}, {"ref": "julietondisi/titanic-dataset", "kernel_id": "31661098"}, {"ref": "utkusado/simple-titanic-competition", "kernel_id": "31507120"}, {"ref": "eunsunglim/titanic-eda", "kernel_id": "31337599"}, {"ref": "drorlupu/hw-week-06", "kernel_id": "31471978"}, {"ref": "drorlupu/hw-week-07", "kernel_id": "31533284"}, {"ref": "aloisiovaleriojr/predicting-fates-with-titanic-data", "kernel_id": "31667416"}, {"ref": "quydd56/20221023-titanic-qdd-solution", "kernel_id": "31588370"}, {"ref": "arushig/kaggle-titanic-submission", "kernel_id": "31473762"}, {"ref": "muhammadbilalhaneef/handeling-missing-data", "kernel_id": "31069587"}, {"ref": "kentoso/notebooke7e2acc820", "kernel_id": "31544583"}, {"ref": "hossamrizk/logistic-regression-from-scratch", "kernel_id": "31700977"}, {"ref": "camillechurch/titantic-sklearn-randomforest", "kernel_id": "31938941"}, {"ref": "jefffossi/jmf-titanic-submission", "kernel_id": "31432280"}, {"ref": "jefffossi/jmf-titanic-model", "kernel_id": "31393175"}, {"ref": "masoumehkhalilzadeh/titanic-challenge", "kernel_id": "31626046"}, {"ref": "zhehaoliang/nn-to-predict-tabular-data-for-titanic", "kernel_id": "31398527"}, {"ref": "ashrafsamir/titanic-survive-prediction", "kernel_id": "31513839"}, {"ref": "praneethchintalapudi/titanic-notebook", "kernel_id": "31487686"}, {"ref": "charlesphilip/my-heart-will-go-on", "kernel_id": "31443811"}, {"ref": "abhinandanroy/titanic-using-rf-and-gb", "kernel_id": "31760206"}, {"ref": "chantelbawuah/predicting-survival-on-the-titanic", "kernel_id": "31728177"}, {"ref": "khanhquanpham/titanic-kaggle", "kernel_id": "31270799"}, {"ref": "conradtsmith/ml-hw-2", "kernel_id": "31361822"}, {"ref": "nehahatti/titanic-project", "kernel_id": "31647298"}, {"ref": "pietromaldini1/tutorial-logistic-regression", "kernel_id": "31194476"}, {"ref": "ajinkya03raut/titanic-original", "kernel_id": "31301990"}, {"ref": "malcolmnichols/mn-titanic-v01", "kernel_id": "31404084"}, {"ref": "malcolmnichols/mn-titanic-submission", "kernel_id": "31404101"}, {"ref": "aleksandrmogilevskiy/xgbclassifier-optuna-cv", "kernel_id": "31083262"}, {"ref": "aleksandrmogilevskiy/smote-with-imbalance", "kernel_id": "31222623"}, {"ref": "raibabar/logistics-regression-for-titanic-prediction", "kernel_id": "31328980"}, {"ref": "tenzintsundue/survival-prediction", "kernel_id": "31028714"}, {"ref": "timothys5/titanic-optuna", "kernel_id": "31789719"}, {"ref": "yousseftarhri/titanic-machine-learning", "kernel_id": "31070916"}, {"ref": "neesham/pandas-v-s-sql", "kernel_id": "31737095"}, {"ref": "neesham/neural-network-for-beginners", "kernel_id": "31319334"}, {"ref": "alanwang7/titanic-1-data-visualisations", "kernel_id": "31623251"}, {"ref": "matinkarimpour/titanic-notebook", "kernel_id": "31733962"}, {"ref": "syedasimalishah/eda-in-2-lines-of-code", "kernel_id": "31483898"}, {"ref": "syedasimalishah/scipy-summed-up", "kernel_id": "31207433"}, {"ref": "syedasimalishah/eda-catboost", "kernel_id": "31845924"}, {"ref": "sardorabdirayimov/logistic-regression-from-scratch", "kernel_id": "31560155"}, {"ref": "morganglisson/morgan-titanic-deep-learning", "kernel_id": "31935844"}, {"ref": "alvinuputra/model-machine-learning-titanic", "kernel_id": "31660198"}, {"ref": "tingniwu/exercise-titanic-0-79186", "kernel_id": "31572141"}, {"ref": "daniellehooijenga/titanic-data-analysis", "kernel_id": "31739449"}, {"ref": "reysajeremiajanis/assignment-2", "kernel_id": "31149321"}, {"ref": "mohamedkhaledelsafty/titanic-prediction-with-ml-dl-ann", "kernel_id": "31290434"}, {"ref": "haneenhossam/titanic-competition-vis-feature-extraction-ml", "kernel_id": "31364087"}, {"ref": "yeremiaisrael/titanic-jeremiah", "kernel_id": "31222901"}, {"ref": "magomedbesaev/titanic-machine-learning-from-disaster", "kernel_id": "31972572"}, {"ref": "mohdazampasha/voting-classifier", "kernel_id": "31066333"}, {"ref": "mohdazampasha/knn-classifier", "kernel_id": "31066256"}, {"ref": "mohdazampasha/svc-classifier", "kernel_id": "31042194"}, {"ref": "w1ndness/titanic-automl", "kernel_id": "31118757"}, {"ref": "w1ndness/titanic-contest", "kernel_id": "31099697"}, {"ref": "elvinngkianhou/titanic-submission-final", "kernel_id": "31064101"}, {"ref": "alaatemimy/titanic-arabic-version", "kernel_id": "31220164"}, {"ref": "ravibarnawal/titanic-survival-prediction", "kernel_id": "31962321"}, {"ref": "ivanshamilov/titanic-predictions-data-exploration", "kernel_id": "31835029"}, {"ref": "jayasreekandregula/titanic-problem-with-simple-logistic-regression", "kernel_id": "31742349"}, {"ref": "jayasreekandregula/titanic-problem-solution-with-logistic-regression", "kernel_id": "31743672"}, {"ref": "daviddragon/logistic-regression-template-titanic", "kernel_id": "31547686"}, {"ref": "arpitmaurya01/titanic-prediction-simple-good-accuracy", "kernel_id": "31741099"}, {"ref": "juliusmarkwei/titanic-predictions", "kernel_id": "31310535"}, {"ref": "uzzivirus/titanic-disaster-classification", "kernel_id": "31142079"}, {"ref": "pranavadarisansv/titanic-survival-using-logistic-regression", "kernel_id": "31916826"}, {"ref": "erichmeissner/titanic-project-example", "kernel_id": "31990407"}, {"ref": "masoudnaghshbandi/titanic-machine-learning-from-disaster", "kernel_id": "31166320"}, {"ref": "alexandrgusev/titanic", "kernel_id": "31598321"}, {"ref": "serdargundogdu/my-first-submission-titanic", "kernel_id": "31822686"}, {"ref": "kevinwellington/titanic-disaster-3", "kernel_id": "31723188"}, {"ref": "raosharjeelkhan/titanic-survival-prediction", "kernel_id": "31768151"}, {"ref": "penguin0709/notebookddef8bdd21", "kernel_id": "31114392"}, {"ref": "alpayabbaszade/ann-model-titanic", "kernel_id": "31601007"}, {"ref": "efmariani/notebook183b62f4b9", "kernel_id": "31669083"}, {"ref": "nikhileshbasil/titanic-nb", "kernel_id": "31571555"}, {"ref": "johnolutoki/titanic-data-analysis", "kernel_id": "31576852"}, {"ref": "niteshk97/function-transformer", "kernel_id": "31330405"}, {"ref": "niteshk97/predict-using-pipeline", "kernel_id": "31331043"}, {"ref": "barisilkar/titanicvisualizationandml", "kernel_id": "31791158"}, {"ref": "mustafagerme/titanic-survived-prediction", "kernel_id": "31976225"}, {"ref": "haoranliang01/notebook413ae2aa20", "kernel_id": "31249169"}, {"ref": "moemenmamdouh/machine-learning-titanic", "kernel_id": "31430935"}, {"ref": "gopalkholade/titanic-eda", "kernel_id": "31734963"}, {"ref": "djmcmoran/deeplearningtitanic-djmcmoran", "kernel_id": "31909700"}, {"ref": "samueljeon/titanic-prediction", "kernel_id": "31504329"}, {"ref": "oladaposulaimon/exercise-arithmetic-and-variables", "kernel_id": "31146454"}, {"ref": "shadowye/titanic-survival-analysis", "kernel_id": "31436705"}, {"ref": "alexnguyen294/titanic-machinelearning", "kernel_id": "31493623"}, {"ref": "kaggleqrdl/titanic-best-working-classifier-with-tabpfn", "kernel_id": "31571171"}, {"ref": "k201725muhammadosama/titanic-ml", "kernel_id": "31090195"}, {"ref": "hamdy17298/titanic-eda-5-different-models", "kernel_id": "31500542"}, {"ref": "kishan9044/story-of-titanic", "kernel_id": "31809767"}, {"ref": "yogesh239/titanic-disaster-data-analysis", "kernel_id": "31381399"}, {"ref": "tamermostafa/detecting-best-model", "kernel_id": "31740937"}, {"ref": "farzannawaz/titanic-prediction-submission", "kernel_id": "31830342"}, {"ref": "peeyushgaur/titanic-ml-from-disaster", "kernel_id": "31394640"}, {"ref": "sadoubarry1/titanic-dis", "kernel_id": "31600651"}, {"ref": "sadoubarry1/projet-titanic", "kernel_id": "31727931"}, {"ref": "rajpreetkaur/notebook41f89326ed", "kernel_id": "31598276"}, {"ref": "beodata/titanic", "kernel_id": "31413638"}, {"ref": "alessandrozanette/titanic-predictions-with-k-fold-cv-random-forest", "kernel_id": "31461140"}, {"ref": "irenawong/titanic-dataset-prediction", "kernel_id": "31313695"}, {"ref": "r0hn00/survivor-predictions-using-nn", "kernel_id": "31904435"}, {"ref": "henrilo/exercise-arithmetic-and-variables", "kernel_id": "31326695"}, {"ref": "ludwigsaux/titanic-survivor-prediction-kn", "kernel_id": "31852898"}, {"ref": "pawarrakesh/titanic-dataset", "kernel_id": "31940189"}, {"ref": "oriondimapilis/getting-started-with-titanic", "kernel_id": "31591353"}, {"ref": "rakkesharv/titanic-competition-basic-decision-tree", "kernel_id": "31395109"}, {"ref": "chuankuiloh/titanic-machine-learning-from-disaster", "kernel_id": "31734730"}, {"ref": "aayushmanjain/titanic-analysis-using-easy-techniques", "kernel_id": "31215495"}, {"ref": "ruturajrajendra/boston-house-price-prediction-icef342b3a3", "kernel_id": "31938989"}, {"ref": "nurudeenabdulsalaam/titanic-marchine-learning-learn-from-disaster", "kernel_id": "31909427"}, {"ref": "ryohei22/day1-first-submission-public", "kernel_id": "31135288"}, {"ref": "ryohei22/day2-eda-public", "kernel_id": "31135313"}, {"ref": "ryohei22/day3-new-features-public", "kernel_id": "31135328"}, {"ref": "ryohei22/day4-parameter-tuning-public", "kernel_id": "31135334"}, {"ref": "ryohei22/day5-cross-validation-public", "kernel_id": "31135343"}, {"ref": "nameissakthi/space-titanic-using-random-forest", "kernel_id": "31678420"}, {"ref": "swapnika9/titanic", "kernel_id": "31395163"}, {"ref": "hachihaccchi/randomforest-ver1", "kernel_id": "31752964"}, {"ref": "hachihaccchi/randomforest-ver1-2", "kernel_id": "31882567"}, {"ref": "asns2001/titanic", "kernel_id": "31749888"}, {"ref": "mohammadarshansari/eda-of-titanic-survival", "kernel_id": "31726272"}, {"ref": "abhikashyap10/titanic", "kernel_id": "31971620"}, {"ref": "alootikki/aloo-02", "kernel_id": "31549092"}, {"ref": "inkwhite/titanic-ml", "kernel_id": "31801573"}, {"ref": "nrapendrabanarji/titanic-logistic-regression", "kernel_id": "31632561"}, {"ref": "skupydoom/first-titanic", "kernel_id": "31296706"}, {"ref": "akshaykrishnavarma/majority-voting-random-forest-xgboostclassifier", "kernel_id": "31344515"}, {"ref": "jagarapusiva/eda-randomizedsearchcv-majority-voting", "kernel_id": "31297578"}, {"ref": "umitemreilhan/titanic-machine-learning-from-disaster", "kernel_id": "31047753"}, {"ref": "piotrmatuszak/titanic-step-by-step-solution", "kernel_id": "31247542"}, {"ref": "alaaadell/titanic-best-accuracy", "kernel_id": "31400264"}, {"ref": "girishkumar315/titanic-logistic-regression", "kernel_id": "31556988"}, {"ref": "alinaageichik/eda-ml-models-and-ensemble", "kernel_id": "31507369"}, {"ref": "jocker3/titanic-machine-learning-from-disaste", "kernel_id": "31744648"}, {"ref": "danishasif/titanic-survival-eda-prediction-pipeline", "kernel_id": "31581439"}, {"ref": "jordanroytirukan/data-science-programming-assignment-2", "kernel_id": "31368066"}, {"ref": "chrisnovpalalangan/titanic-data-science-solutions", "kernel_id": "31134295"}, {"ref": "inganalytics/6-exercises-solved-matplotlib", "kernel_id": "31276132"}, {"ref": "abduallahhussien/titanic-with-test-accuracy-90", "kernel_id": "31533116"}, {"ref": "gopika19/titanic-logistic-regression", "kernel_id": "31934104"}, {"ref": "leandrocassius/random-forest-classifier-on-titanic-dataset", "kernel_id": "31893640"}, {"ref": "samsonbezu/stb-titanic-v01", "kernel_id": "31570958"}, {"ref": "samsonbezu/stb-titanic-submission", "kernel_id": "31571040"}, {"ref": "stanislavalekseev/titanic-survival-analysis-and-prediction", "kernel_id": "31927198"}, {"ref": "mattop/parametric-hypothesis-testing-t-anova", "kernel_id": "31658246"}, {"ref": "mattop/data-distributions-gaussian-t-chi-squared", "kernel_id": "31567679"}, {"ref": "ahmdreza/titanic-tutorial", "kernel_id": "31468264"}, {"ref": "arojitroy/eda-with-titanic-survival-data", "kernel_id": "31016919"}, {"ref": "rohith3330/classification-metrics-ps", "kernel_id": "31487650"}, {"ref": "alexandershumilin/titanic-catboost-feature-engineering", "kernel_id": "31716799"}, {"ref": "michaelala/titanic-second-attempt", "kernel_id": "31510597"}, {"ref": "kevalsakhiya81/titanic", "kernel_id": "31080898"}, {"ref": "sonujosephetr/titanic-randomforest-classification", "kernel_id": "31650123"}, {"ref": "sushilyeotiwad/ml-ridge-vs-lasso-vs-elastic-regularization", "kernel_id": "31057724"}, {"ref": "celinehernandez/notebook6ff6125178", "kernel_id": "31241352"}, {"ref": "celinehernandez/notebook132388f0ef", "kernel_id": "31596795"}, {"ref": "jawadmirzakkjyt/exercise-arithmetic-and-variables", "kernel_id": "31863456"}, {"ref": "edacebeci/titanic-survival-different-models", "kernel_id": "31894580"}, {"ref": "edacebeci/titanic-survival-prediction", "kernel_id": "31306093"}, {"ref": "maheshkawarkhe/getting-started-with-titanic", "kernel_id": "31117195"}, {"ref": "devthumos/titanic-eda-study", "kernel_id": "31272945"}, {"ref": "ab0amin/titanic-model", "kernel_id": "31722443"}, {"ref": "abdulrahman1210/titanic-prediction-model", "kernel_id": "31354006"}, {"ref": "ahmettalhabektas/how-can-you-make-up-your-data-part-1", "kernel_id": "31795146"}, {"ref": "ahmettalhabektas/may-i-take-a-filtering-data", "kernel_id": "31695567"}, {"ref": "ahmettalhabektas/our-new-friend-is-eda", "kernel_id": "31667633"}, {"ref": "vonnejuma/titanic-survivor-prediction", "kernel_id": "31313962"}, {"ref": "javohirtoshqorgonov/titanic-eda-the-best-models", "kernel_id": "31828527"}, {"ref": "antarfrica/hello-kaggle", "kernel_id": "31934754"}, {"ref": "hemanthy23/notebookd6ddbec2f4", "kernel_id": "31495735"}, {"ref": "surendra976/notebook10b2f3d253", "kernel_id": "31495709"}, {"ref": "sainischala/titanic", "kernel_id": "31102304"}, {"ref": "damianlarocque/notebookb9b2048b51", "kernel_id": "31403568"}, {"ref": "shivanigattigorla/learning-basic-ml-by-titanic-survival-predi", "kernel_id": "31759507"}, {"ref": "shivanigattigorla/notebook1", "kernel_id": "31759571"}, {"ref": "zoefaurebeaulieu/zoefb-titanic", "kernel_id": "31088974"}, {"ref": "ramakrushnamohapatra/titanic-disaster-classification-using-ml", "kernel_id": "31240383"}, {"ref": "sinacyrus/titanic-machine-learning-from-disaster", "kernel_id": "31184736"}, {"ref": "nhuerp00/titanic-begginer-competition", "kernel_id": "31723935"}, {"ref": "nhuerp00/titanic-2nd-attempt", "kernel_id": "31960214"}, {"ref": "mdzahedulislam07/titanic-submission", "kernel_id": "31738058"}, {"ref": "suyashkapil/titanic-survival-ml-prediction-under-1000-rank", "kernel_id": "31916967"}, {"ref": "fernandoparodi/titanic-competition", "kernel_id": "31966858"}, {"ref": "ekaterinalogutova/titanic-nto", "kernel_id": "31226611"}, {"ref": "vikramrahane/titanic2", "kernel_id": "31378794"}, {"ref": "vijay20213/titanic-data-analysis", "kernel_id": "31518005"}, {"ref": "chandrasekhar97/titanic-decision-tree-algorithm", "kernel_id": "31993444"}, {"ref": "dedmopo3peahimatop/titanic", "kernel_id": "31648116"}, {"ref": "megancrenshaw/mc-titanic-submission", "kernel_id": "31361258"}, {"ref": "megancrenshaw/mc-titanic-v01", "kernel_id": "31356202"}, {"ref": "alpertekiin/prediction-of-survive", "kernel_id": "31138597"}, {"ref": "juandiegolondoo/titanic-ml-juan-londono", "kernel_id": "31675372"}, {"ref": "ahmeturunveren/titanic-eda", "kernel_id": "31303694"}, {"ref": "ahmadjalalmasood123/titanic-competition-through-randomforestclassifier", "kernel_id": "31030151"}, {"ref": "malyajmishra/titanic-starting", "kernel_id": "31427856"}, {"ref": "visweswar39/titanic-challenge", "kernel_id": "31064217"}, {"ref": "ahmetkayapnar/to-survive-or-not-to-survive", "kernel_id": "31130526"}, {"ref": "moeezinaam/multivariate-bivariate-analysis-eda", "kernel_id": "31820831"}, {"ref": "barankutluay/titanic-submission", "kernel_id": "31196754"}, {"ref": "joelittlefable/notebook6e16a1da37", "kernel_id": "31160625"}, {"ref": "yusufsahril/day-1", "kernel_id": "31778700"}, {"ref": "itsnahm/beginner-of-machine-learning", "kernel_id": "31758196"}, {"ref": "itsnahm/beginner-of-machine-learning-part-2", "kernel_id": "31763551"}, {"ref": "itsnahm/machine-learning-model-for-titanic-disaster", "kernel_id": "31875305"}, {"ref": "ugursaricam/saving-leonardo-eda", "kernel_id": "31072517"}, {"ref": "wahyuagungbudiyanto/assignment-2", "kernel_id": "31149965"}, {"ref": "pierrejerichoeffendy/assignment2", "kernel_id": "31239692"}, {"ref": "gedeyogisuryakirana/assignment-2", "kernel_id": "31236561"}, {"ref": "ve3cle/assignment-2", "kernel_id": "31148753"}, {"ref": "arsyadmuhammad/titanic", "kernel_id": "31910542"}, {"ref": "grahamnolanhkis/machine-learning-project-example", "kernel_id": "31640314"}, {"ref": "vijayandika/latihan-machine-learning-titanic", "kernel_id": "31856526"}, {"ref": "tasyifanafsiahm/practice-model-machine-learning-titanic", "kernel_id": "31802328"}, {"ref": "helwisliufandy/titanic-beginner-ml-with-catboost", "kernel_id": "31037156"}, {"ref": "helenaangelo/an-lise-de-dados-e-regress-o", "kernel_id": "31658160"}, {"ref": "helenaangelo/proj-02", "kernel_id": "31384311"}, {"ref": "bodhisattvabose/titanic-random-forest-model", "kernel_id": "31542222"}, {"ref": "mohameddeeb/titanic-predictions", "kernel_id": "31493267"}, {"ref": "sunnygan/getting-started-with-titanic", "kernel_id": "31273995"}, {"ref": "edwardpaologuevarra/r-logistic-regression-titanic", "kernel_id": "31889439"}, {"ref": "dmitryemelyanov/titanic-competition", "kernel_id": "31908903"}, {"ref": "gabrielko/titanic-visualisation", "kernel_id": "31324878"}, {"ref": "gabrielko/titanic-submission", "kernel_id": "31468641"}, {"ref": "sobhanmohammadids/titanic-competition", "kernel_id": "31564425"}, {"ref": "youcefziat/my-first-kaggle-notebook", "kernel_id": "31353631"}, {"ref": "emmanueldelapaz/getting-started-with-titanic", "kernel_id": "31840375"}, {"ref": "junseokim80/final-project-junseo-kim", "kernel_id": "31921826"}, {"ref": "hashemialii/seabornnumpypracticeontitanictraindata", "kernel_id": "31398763"}, {"ref": "hashemialii/practiceontitanictraindata", "kernel_id": "31304431"}, {"ref": "tarunkumar1912/titanic-dataset-logistic-regression", "kernel_id": "31002527"}, {"ref": "chauhanand/prediting-who-will-survive", "kernel_id": "31966058"}, {"ref": "elhamsheykhi/notebookc04ed03a14", "kernel_id": "31277820"}, {"ref": "anshv2/titanic-logreg", "kernel_id": "31856639"}, {"ref": "davimax/davimax-titanic-version05", "kernel_id": "31251398"}, {"ref": "khaledatef1/survival-classification-clearly-explained", "kernel_id": "31604770"}, {"ref": "saisandeepjallepalli/titanic-survival-prediction-logistic-regression", "kernel_id": "31599843"}, {"ref": "tcmaso/titanic-survival-prediction-top-7", "kernel_id": "31769627"}, {"ref": "ismail61/eda-multivariate", "kernel_id": "31568704"}, {"ref": "brianalvarez/deeplearntitanic-brian", "kernel_id": "31910202"}, {"ref": "brianalvarez/deeplearningtitanic-brian", "kernel_id": "31909701"}, {"ref": "neteberingsahl/portfolio-1b", "kernel_id": "31016956"}, {"ref": "thainagarcia/notebook9273e798a0", "kernel_id": "31025931"}, {"ref": "moe5998/titanic-eda-randomforestclassifier", "kernel_id": "31201932"}, {"ref": "adamlangevin/notebook9b2d7f2ba7", "kernel_id": "31909805"}, {"ref": "kaylaliang/titanic-data-science-solutions", "kernel_id": "31191342"}, {"ref": "hallievanderhoof/deeplearningtitanic-vanderhoof", "kernel_id": "31909702"}, {"ref": "haoweihuangneu/assignment-2-titanic-survival", "kernel_id": "31443809"}, {"ref": "haoweihuangneu/project-preparation-find-the-best-algorithm", "kernel_id": "31671811"}, {"ref": "haoweihuangneu/mid-term-project-titanic-survival", "kernel_id": "31815877"}, {"ref": "victorgavrilov/titanic-real-1-0", "kernel_id": "31903696"}, {"ref": "heloaai/titanic-trial", "kernel_id": "31784115"}, {"ref": "zepopo/solo-work-titanic-dataset", "kernel_id": "31346295"}, {"ref": "zepopo/trying-knowledge-from-coursera", "kernel_id": "31346698"}, {"ref": "zepopo/solo-work3-via-logistic-regression", "kernel_id": "31346509"}, {"ref": "zepopo/solo-work2", "kernel_id": "31346375"}, {"ref": "zepopo/random-forest-titanic", "kernel_id": "31398486"}, {"ref": "felipeeanjos/titanic-primeira-competi-o", "kernel_id": "31105257"}, {"ref": "joewraga/titanic-first-attempt", "kernel_id": "31942423"}, {"ref": "mixmore/titanic-simple-model", "kernel_id": "31574079"}, {"ref": "matthewferraro/deeplearningtitanic-ferraro", "kernel_id": "31909863"}, {"ref": "asrarr/titanic-machine-learning-from-disaster", "kernel_id": "31432245"}, {"ref": "rhaberkorn/notebook8ebebb8f1d", "kernel_id": "31402837"}, {"ref": "vaffa201/notebookd2f0fa7aa5", "kernel_id": "31389336"}, {"ref": "omarrefky/chances-of-surviving-the-titanic", "kernel_id": "31113979"}, {"ref": "christiandeangelis1/titanic-using-extratrees-my-first-notebook", "kernel_id": "31024379"}, {"ref": "idalisa/notebooka7c4fca933", "kernel_id": "31778969"}, {"ref": "synggg/titanic-survival-prediction", "kernel_id": "31433658"}, {"ref": "hsy844/titanic-machine-learning-from-disaster", "kernel_id": "31011704"}, {"ref": "oluwabusayomialuko/titanic-machine-learning-from-disaster", "kernel_id": "31194237"}, {"ref": "guihhsilva/titanic-try-improve-my-score", "kernel_id": "31626619"}, {"ref": "sarostan/titanic-survival-prediction", "kernel_id": "31621900"}, {"ref": "aditibabu/ab-getting-started-with-titanic", "kernel_id": "31033320"}, {"ref": "piotrtylkowski/titanic-first-attempt", "kernel_id": "31012595"}, {"ref": "lindapedersen/ds-project", "kernel_id": "31043509"}, {"ref": "harveymiller/notebook63175bbee8", "kernel_id": "31537368"}, {"ref": "smsmibrahim/titanic", "kernel_id": "31535672"}, {"ref": "nagendramantrabuddi/titanic", "kernel_id": "31051428"}, {"ref": "potongpasir/improved-logistic-regression", "kernel_id": "31612812"}, {"ref": "potongpasir/titanic", "kernel_id": "31825515"}, {"ref": "sratra/titanic-practice", "kernel_id": "31120239"}, {"ref": "ryoosari/titanic-machine-learning-from-disaster", "kernel_id": "31819101"}, {"ref": "cristinapulidomartn/ejercicio-ii", "kernel_id": "31323693"}, {"ref": "liuzili9686/titannic-toad-structrue", "kernel_id": "31057100"}, {"ref": "pauliou/deep-learning-with-titanic-dataset", "kernel_id": "31039146"}, {"ref": "lucienaxiao/titanic-competition", "kernel_id": "31349634"}, {"ref": "pavankalyankolla/arithmetic-and-variables", "kernel_id": "31052056"}, {"ref": "chaitanya741/titanic-surviver-with-tensorflow", "kernel_id": "31246711"}, {"ref": "chaitanya741/titanic-survived-pred-with-xgboost", "kernel_id": "31282481"}, {"ref": "chaitanya741/fork-of-titanic-surviver-with-tensorflow-76794", "kernel_id": "31300303"}, {"ref": "emilielagrange/life-goes-on-until-the-iceberg-comes", "kernel_id": "31061050"}, {"ref": "dimihan/mytitanicmess", "kernel_id": "31082615"}, {"ref": "yannmello/exo-titanic-ico-2023-ybam", "kernel_id": "31085510"}, {"ref": "grvychuck/titanic-machine-learning-5-models", "kernel_id": "31338291"}, {"ref": "grvychuck/titanic-randomforest", "kernel_id": "31355405"}, {"ref": "nutha010/notebookd66ca8f45a", "kernel_id": "31108980"}, {"ref": "nutha010/notebook3cc6d307b8", "kernel_id": "31109006"}, {"ref": "aleksandrchigishev/titanic-analysis-logistic-regression-lightgbm", "kernel_id": "31464042"}, {"ref": "jsancf05/jmsf-notebook-for-the-titanic-competition", "kernel_id": "31905394"}, {"ref": "carlosluquegonzlez/titanic-carlos", "kernel_id": "31854166"}, {"ref": "jiqiangxie97/titanic-surviver-prediction", "kernel_id": "31262951"}, {"ref": "giantxzp/titanic-by-giantxzp", "kernel_id": "31405095"}, {"ref": "giantxzp/titanic-by-giant", "kernel_id": "31480739"}, {"ref": "milkysweattea/titanic-by-giantxzp", "kernel_id": "31465283"}, {"ref": "bingleibao/titanic-knn", "kernel_id": "31354627"}, {"ref": "romrod/titanic-ml-competition", "kernel_id": "31251752"}, {"ref": "lw4580609/titanic-xl-demo", "kernel_id": "31260892"}, {"ref": "abdallahgomaa/titanic-ml", "kernel_id": "31290418"}, {"ref": "bhavyaprakash02/titanic-problem-beginner", "kernel_id": "31376608"}, {"ref": "aikosenoo/getting-started-with-titanic", "kernel_id": "31220514"}, {"ref": "kritijain11/notebook73197a3b8f", "kernel_id": "31732614"}, {"ref": "luis020/morpheus-titanic-v01", "kernel_id": "31256913"}, {"ref": "bjoved00/titanic-competition", "kernel_id": "31963413"}, {"ref": "mohammednabil98/myfirstone", "kernel_id": "31769707"}, {"ref": "dhananjayraut/exercise-arithmetic-and-variables", "kernel_id": "31868649"}, {"ref": "oneicun/getting-started-with-titanic", "kernel_id": "31626427"}, {"ref": "freddypinto/exercise-arithmetic-and-variables", "kernel_id": "31412108"}, {"ref": "saalika/getting-started-with-titanic", "kernel_id": "31422765"}, {"ref": "takuyaozawa/notebook25c2b2d7ac", "kernel_id": "31425688"}, {"ref": "tharunkumarbm/exercise-arithmetic-and-variables", "kernel_id": "31428110"}, {"ref": "diablogaming/my-first-submission-titanic", "kernel_id": "31835981"}, {"ref": "tracykobel/tk-titanic-v01", "kernel_id": "31447564"}, {"ref": "tracykobel/tk-titanic-submission", "kernel_id": "31450078"}, {"ref": "suinku/notebook96555d23ff", "kernel_id": "31473267"}, {"ref": "elifsarman/titanic-competition", "kernel_id": "31970007"}, {"ref": "jbfriedli/titanic-in-depth-analysis-and-knn-from-scratch", "kernel_id": "31635159"}, {"ref": "phoebebuffay00/notebooke2cd5cba76", "kernel_id": "31800014"}, {"ref": "gwenrockoff/gr-titanic-v01", "kernel_id": "31572698"}, {"ref": "songqiuling/titanic", "kernel_id": "31794873"}, {"ref": "zohrejoon/taitanic-5-different-machine-learning-algoritms", "kernel_id": "31669490"}, {"ref": "saranic/titanic-getting-started", "kernel_id": "31919906"}, {"ref": "anishkaroybagchee/titanic-passenger-survival-prediction", "kernel_id": "31704328"}, {"ref": "zheyunshou/titanic", "kernel_id": "31676892"}, {"ref": "spoiltlapdog/my-titanic-prediction-practice", "kernel_id": "31847224"}, {"ref": "aleeceandrews/titanic-survival-predictions", "kernel_id": "31874413"}, {"ref": "shuchi111/exercise-arithmetic-and-variables", "kernel_id": "31816919"}, {"ref": "klynoroalesaguilar/titanic-01", "kernel_id": "31906551"}, {"ref": "mma115/exercise-arithmetic-and-variables", "kernel_id": "31867386"}, {"ref": "jonathansturdivant/titanic-deep-learning-jonathansturdivant", "kernel_id": "31910224"}, {"ref": "timdanham/titanic-deep-learning-timhamilton", "kernel_id": "31909728"}, {"ref": "prajwalkene/exercise-arithmetic-and-variables", "kernel_id": "31915600"}, {"ref": "wozzrr/wuhu-zzz-first", "kernel_id": "31995203"}, {"ref": "youngdaeyoo/q7-eda", "kernel_id": "32056088"}, {"ref": "setumoraphelakamatlou/titanic-xgboostclassifer-trials", "kernel_id": "32347023"}, {"ref": "kim145/yet-another-titanic-survival-10ml-tech-randomcv", "kernel_id": "32940835"}, {"ref": "dgoodwin/titanic-eda-and-model-building", "kernel_id": "32850495"}, {"ref": "marcelovalentimsilva/02-intro-to-pandas", "kernel_id": "32665443"}, {"ref": "mhzardary/titanic-zardary-v-1", "kernel_id": "32909739"}, {"ref": "emphymachine/63-69-pandas-tips", "kernel_id": "32686792"}, {"ref": "savitharachuri223/titanic-deep-learning", "kernel_id": "32149358"}, {"ref": "mironenkoasja/titanic-survival-prediction", "kernel_id": "32666281"}, {"ref": "kumarsrikant/data-cleaning-exercise-titanic", "kernel_id": "32499180"}, {"ref": "selcukcan/da-15-working-with-text-data", "kernel_id": "32290452"}, {"ref": "egorovm/hw3-bagnova-gromova-egorov", "kernel_id": "32224050"}, {"ref": "zainahmed1990/titanic-ml-disaster", "kernel_id": "32006001"}, {"ref": "ksarvakar/ensemble-ml-algorithms-bagging-boosting-voting", "kernel_id": "32424994"}, {"ref": "tarumainfo/lbb3-titanic", "kernel_id": "32483537"}, {"ref": "tarumainfo/lbb2-titanic", "kernel_id": "32480744"}, {"ref": "rafascm/titanic-logistic-regression", "kernel_id": "32743989"}, {"ref": "littlezombie/titanic", "kernel_id": "32286765"}, {"ref": "anigaundar/titanic-first-submission", "kernel_id": "32753969"}, {"ref": "werooring/titanic-eda", "kernel_id": "32530430"}, {"ref": "werooring/titanic-modeling", "kernel_id": "32839803"}, {"ref": "roxket/random-forest-classifier-0-77511", "kernel_id": "32775242"}, {"ref": "buddhareddy/notebook3c37236418", "kernel_id": "32255353"}, {"ref": "sushovansaha9/titanic-all-classifiers-and-stacking", "kernel_id": "32421369"}, {"ref": "eddiebergman/tabpfn-vs-xgboost-vs-rf-titanic-dataset", "kernel_id": "32202389"}, {"ref": "stpeteishii/titanic-pytorch-baseline", "kernel_id": "32606529"}, {"ref": "nukalavijaya/titanic-prediction", "kernel_id": "32821115"}, {"ref": "elchin94/titanic-eda-pred-acc-xgb-84-and-autogluon-86", "kernel_id": "32017326"}, {"ref": "nsysudagg/eda-to-prediction-thu", "kernel_id": "32182252"}, {"ref": "mang0se0/chapter7-9-quiz", "kernel_id": "32654044"}, {"ref": "mang0se0/quiz-ch07-09", "kernel_id": "32645279"}, {"ref": "oollysh/preparation", "kernel_id": "32648844"}, {"ref": "htayaung/titanic-classification", "kernel_id": "32949055"}, {"ref": "pollicio/titanic-eda-and-display-a-cuevas", "kernel_id": "32073079"}, {"ref": "cegvist/exercise-arithmetic-and-variables", "kernel_id": "32892678"}, {"ref": "maloneeey/20221121-tutorial", "kernel_id": "32561072"}, {"ref": "hadeux/simple-deep-learning-model", "kernel_id": "32987469"}, {"ref": "angelicalo/explore-dataset-titanic", "kernel_id": "32456306"}, {"ref": "imearth01/20211577-1", "kernel_id": "32687914"}, {"ref": "imearth01/20211577-2-3", "kernel_id": "32931831"}, {"ref": "imearth01/20211577-2-2", "kernel_id": "32931146"}, {"ref": "imearth01/20211577-2-1", "kernel_id": "32929016"}, {"ref": "aiotsir/titanic-disaster-survival-prediction", "kernel_id": "32372525"}, {"ref": "pulkit12dhingra/decision-tree-classifier-from-scratch", "kernel_id": "32863983"}, {"ref": "ercaneser/titanic", "kernel_id": "32598912"}, {"ref": "newbieag068/classification-titanic-logistic-regression", "kernel_id": "32113299"}, {"ref": "protikmostafa/multicollinearity", "kernel_id": "32992681"}, {"ref": "arunaabhpant/titanic-data-analysis-decision-tree", "kernel_id": "32302151"}, {"ref": "lavagod/titanic-ivan-sedov-2", "kernel_id": "32332347"}, {"ref": "lavagod/titanic-ivan-sedov-1", "kernel_id": "32532940"}, {"ref": "asif05amu/titanic-survival-analysis", "kernel_id": "32413630"}, {"ref": "alexteush1121/titanic0-at", "kernel_id": "32727232"}, {"ref": "charunumesh/titanic-machine-learning-disaster", "kernel_id": "32493376"}, {"ref": "egeerkmen/titanic-survival-prediction-with-xgb", "kernel_id": "32271702"}, {"ref": "akershishukla/first-notebook-titanic-ml-from-disaster", "kernel_id": "32115966"}, {"ref": "tomasmoschides/titanic-predictions", "kernel_id": "32310796"}, {"ref": "antoniobrych/multi-layer-perceptron-intuitive-and-complete", "kernel_id": "32272853"}, {"ref": "williecosta/surviving-the-titanic-a-random-forest-adventure", "kernel_id": "32251194"}, {"ref": "zymzym/python-21-excercise", "kernel_id": "32352151"}, {"ref": "preciousijege/bootcamp-notebook-titanic", "kernel_id": "32466514"}, {"ref": "wouldyoujustfocus/ab-testing-use-stats-to-rise-your-profit", "kernel_id": "32648255"}, {"ref": "wouldyoujustfocus/ladies-lean-in", "kernel_id": "32419117"}, {"ref": "wouldyoujustfocus/l-king-for-a-ds-job", "kernel_id": "32087807"}, {"ref": "charlesguthmann/chuck-first-notebook", "kernel_id": "32508221"}, {"ref": "ahsanulislam/hello-data-analysis-and-neural-network", "kernel_id": "32117621"}, {"ref": "tomonorisasaki/simple-eda-and-decision-tree", "kernel_id": "32810923"}, {"ref": "tomonorisasaki/simple-eda-and-logistic-regression", "kernel_id": "32888908"}, {"ref": "ycjfwico/20211505-2-3", "kernel_id": "32932842"}, {"ref": "ycjfwico/20211505-2-2", "kernel_id": "32931817"}, {"ref": "ycjfwico/20211505-2-1", "kernel_id": "32931062"}, {"ref": "ycjfwico/20211505-1", "kernel_id": "32687899"}, {"ref": "arvinthsss/ml-project-titanic-problem", "kernel_id": "32185100"}, {"ref": "bhavinmoriya/statistical-testing-for-dummies", "kernel_id": "32651212"}, {"ref": "padmajaphanse/titanic-machine-learning", "kernel_id": "32916645"}, {"ref": "sayanroy729/titanic-eda-model-building", "kernel_id": "32059969"}, {"ref": "sasanmansouri/dafa22-hw-regex-eda", "kernel_id": "32084018"}, {"ref": "sasanmansouri/dafa22-nb-06-automatic-eda-libraries", "kernel_id": "32066904"}, {"ref": "satishpb/titanic-1st", "kernel_id": "32982013"}, {"ref": "haron54/chertkov-8305-titanic", "kernel_id": "32296765"}, {"ref": "avengerwang/gbdt-adaboost-rf-xgboost-knn-logistic-svm", "kernel_id": "32081646"}, {"ref": "spiceofchoice/a-typo-that-led-to-a-0-8-score-or-my-first-attempt", "kernel_id": "32646888"}, {"ref": "gautamchettiar/xgb-catboost-lgbm-stacking-voting-analysis", "kernel_id": "32052380"}, {"ref": "eyadahmed/titanic-tutorial", "kernel_id": "32499598"}, {"ref": "gargaar/statistical-analysis-in-python", "kernel_id": "32223412"}, {"ref": "hosseinfaridnasr/survival-prediction-using-logistic-regression", "kernel_id": "32187277"}, {"ref": "hosseinfaridnasr/survival-prediction-model-selection-xgboost", "kernel_id": "32355008"}, {"ref": "spynos/week11-lecturenotes", "kernel_id": "32081271"}, {"ref": "jordanfranks/a-beginner-s-guide-to-ml-with-titanic", "kernel_id": "32714109"}, {"ref": "zangnaeun/2022-2-titanic", "kernel_id": "32614384"}, {"ref": "shreyasbinhal/classification-using-random-forest", "kernel_id": "32374781"}, {"ref": "nnsssadithya/titanic-nn", "kernel_id": "32663826"}, {"ref": "nnsssadithya/titanic-ml", "kernel_id": "32484262"}, {"ref": "sahityaarya/titanic-dataset", "kernel_id": "32227434"}, {"ref": "zartashiaafzal/data-voyage-go-on", "kernel_id": "32884815"}, {"ref": "jungheeback/t2-1-titanic-simple-baseline", "kernel_id": "32317765"}, {"ref": "betlbaak/titanic-ml-randomforestclassifier", "kernel_id": "32458993"}, {"ref": "ericcclee/ml-quiz-chapter-10-11", "kernel_id": "32865411"}, {"ref": "hemantanandi2/titanic-ml-decision-tree-random-forest-xgboost", "kernel_id": "32462296"}, {"ref": "zhukovoleksiy/get-started-with-kaggle-legacy-guide", "kernel_id": "32043773"}, {"ref": "zhukovoleksiy/titanic-with-xgbclassifier", "kernel_id": "32303553"}, {"ref": "arthurliao/titanic-model-evaluation-practice", "kernel_id": "32914735"}, {"ref": "purukumar1/noob-titanic-machine-learning-from-disaster", "kernel_id": "32347921"}, {"ref": "malachymoran/malachy-titanic-knn", "kernel_id": "32098845"}, {"ref": "l0c4lhost/titanic", "kernel_id": "32337037"}, {"ref": "xinxu123/mytitanicpro", "kernel_id": "32153923"}, {"ref": "antobzzll/titanic-competition", "kernel_id": "32039684"}, {"ref": "dheemanthbhat/titanic-mortality-part-1-eda", "kernel_id": "32141037"}, {"ref": "dheemanthbhat/titanic-mortality-part-2-predictions-top-7", "kernel_id": "32141370"}, {"ref": "liuxudong1986/titanic-0-77751-0-78468-by-xgboost", "kernel_id": "32347646"}, {"ref": "emineyetm/titanic-machine-learning-from-disaster", "kernel_id": "32836513"}, {"ref": "shivamshinde123/titanic-survival-prediction", "kernel_id": "32866733"}, {"ref": "mnchdata/py-t1-1-iqr-expected-questions", "kernel_id": "32882167"}, {"ref": "msk17a/titanic-survivals-ver1", "kernel_id": "32301088"}, {"ref": "rahmadadeakbar/titanic-machine-learning-from-disaster-raa", "kernel_id": "32974778"}, {"ref": "darkravager/pytorch-neural-network", "kernel_id": "32293891"}, {"ref": "rladmsqo98/from-eda-to-boosting-stacking-with-titanic", "kernel_id": "32787843"}, {"ref": "sergiosauro/titanic", "kernel_id": "32967997"}, {"ref": "matheuslopesvivas/titanic-basic", "kernel_id": "32647048"}, {"ref": "kagancatan/auto-eda-with-pandas-profiling", "kernel_id": "32470091"}, {"ref": "mridulsyed/titanic-survival-prediction-using-machine-learning", "kernel_id": "32333328"}, {"ref": "jomenik/titanic", "kernel_id": "32029532"}, {"ref": "fahimaziz/titanic-xgb", "kernel_id": "32624655"}, {"ref": "aghababataghizade/titanic-machine-learning-from-disaster", "kernel_id": "32869445"}, {"ref": "aablagait/titanic-first-aablagait", "kernel_id": "32887815"}, {"ref": "mrdenki/titanic-ex-2", "kernel_id": "32866368"}, {"ref": "sapirbegimov/titanic-survival-pred", "kernel_id": "32069618"}, {"ref": "smailcemzelk/titanic-logistic-regression", "kernel_id": "32755911"}, {"ref": "naveen9192/workshop-day-3", "kernel_id": "32248848"}, {"ref": "piyasaha/getting-started-with-titanic", "kernel_id": "32966788"}, {"ref": "itallogalvao/titanic-version-1", "kernel_id": "32884920"}, {"ref": "gidoverheijen/final-notebook", "kernel_id": "32070240"}, {"ref": "mustafayurtcan/titanic-prediction", "kernel_id": "32127413"}, {"ref": "hiteshsuthar101/titanic-eda-preprocessing-prediction", "kernel_id": "32547892"}, {"ref": "spencergablecook/decision-trees", "kernel_id": "32573154"}, {"ref": "ivanpashkevich/quokka-on-the-titanic", "kernel_id": "32759408"}, {"ref": "nikil42516/titanic-predictions-with-6-models-2-ensemble", "kernel_id": "32324742"}, {"ref": "greensamiam/titanic-dataset-a-single-binary-split", "kernel_id": "32400964"}, {"ref": "leoth9/fastest-way-to-create-eda-and-report", "kernel_id": "32443058"}, {"ref": "ridamahmood005/titanic-from-scratch-baseline-test", "kernel_id": "32315156"}, {"ref": "next1011/use-lightautoml", "kernel_id": "32619897"}, {"ref": "symkoo/random-forest-titanic", "kernel_id": "32336878"}, {"ref": "eslamshaban/classificationtitanicdataset", "kernel_id": "32913552"}, {"ref": "raifgaripov/8305-g", "kernel_id": "32357761"}, {"ref": "sivahemang/titanic-ml-solution-with-83-5-accuracy", "kernel_id": "32414897"}, {"ref": "serdargundogdu/feature-engineering-cookbook", "kernel_id": "32786328"}, {"ref": "stbnlen/titanic-dataset", "kernel_id": "32271892"}, {"ref": "dhimancreations/getting-started-with-titanic", "kernel_id": "32756814"}, {"ref": "yjh1305/first-analysis-titanic", "kernel_id": "32786972"}, {"ref": "sakshamparashar/titanic-solution-eda-estimator-1", "kernel_id": "32061914"}, {"ref": "vamshichowdary/titanic-prediction", "kernel_id": "32114338"}, {"ref": "imenmasmoudi/titanic-ml-from-disaster", "kernel_id": "32595083"}, {"ref": "hayoung021/20200449-1", "kernel_id": "32687832"}, {"ref": "hayoung021/20200449-2-3", "kernel_id": "32929166"}, {"ref": "hayoung021/20200449-2-1", "kernel_id": "32929320"}, {"ref": "hayoung021/20200449-2-2", "kernel_id": "32929657"}, {"ref": "andreyin/titanic-gradient-boosting", "kernel_id": "32649741"}, {"ref": "rhianjenkins/getting-started-with-titanic", "kernel_id": "32155704"}, {"ref": "sangwookbaek/20190388-2-1", "kernel_id": "32929300"}, {"ref": "sangwookbaek/20190388-2-2", "kernel_id": "32930136"}, {"ref": "sangwookbaek/20190388-2-3", "kernel_id": "32930614"}, {"ref": "sangwookbaek/20190388-1", "kernel_id": "32687893"}, {"ref": "yosebnam/notebookba68c0b0bc", "kernel_id": "32292881"}, {"ref": "gatachen/titanic-george", "kernel_id": "32700625"}, {"ref": "nicopyds/stream-12-nov-2022-kick-off", "kernel_id": "32264102"}, {"ref": "nicopyds/beautiful-plots-with-matplotlib", "kernel_id": "32297391"}, {"ref": "shazi2925/fork-of-getstart-kaggle", "kernel_id": "32017358"}, {"ref": "jhosepbailon/titanic-saving-people-v2", "kernel_id": "32569494"}, {"ref": "gyunpilpark/20160793-2-2", "kernel_id": "32929161"}, {"ref": "gyunpilpark/20160793-2-3", "kernel_id": "32929398"}, {"ref": "gyunpilpark/20160793-2-1", "kernel_id": "32928808"}, {"ref": "gyunpilpark/20160793-1", "kernel_id": "32687891"}, {"ref": "carmenreese11/titanic-comp-workbook", "kernel_id": "32142356"}, {"ref": "susmitadeylearner/titanic-passenger-prediction", "kernel_id": "32193428"}, {"ref": "junseok/20150071-1", "kernel_id": "32928729"}, {"ref": "junseok/20150071-2-1", "kernel_id": "32929801"}, {"ref": "junseok/20150071-2-2", "kernel_id": "32929846"}, {"ref": "junseok/20150071-2-3", "kernel_id": "32931476"}, {"ref": "shreyashsalunke/titanic-competition", "kernel_id": "32059632"}, {"ref": "mstanislaus/titanic-machine-learning-from-disaster", "kernel_id": "32457856"}, {"ref": "mustafatayyipbayram/logistic-regression-pytorch", "kernel_id": "32032927"}, {"ref": "mustafatayyipbayram/logistic-regression-exercise-3", "kernel_id": "32033132"}, {"ref": "maktube/titanic-classifier-survive", "kernel_id": "32750062"}, {"ref": "cproj22/titanic-survival-classification", "kernel_id": "32108887"}, {"ref": "denisshvetsov811/shvetsov-titanic", "kernel_id": "32006404"}, {"ref": "nikitadyagilev/dyagilev-lr2", "kernel_id": "32131654"}, {"ref": "antonsharandin/sharandin-lr2", "kernel_id": "32101638"}, {"ref": "ludditep/torch-nn", "kernel_id": "32863473"}, {"ref": "aryang257/titanic-predictions-1", "kernel_id": "32972514"}, {"ref": "ludwigsaux/top-5-eda-logistic-regression", "kernel_id": "32088811"}, {"ref": "anriueno/python-titanic-eda-logistic-regression", "kernel_id": "32597272"}, {"ref": "margulanzholaman/project-robt", "kernel_id": "32281749"}, {"ref": "ankurrana99/titanic-ml-run", "kernel_id": "32277884"}, {"ref": "sanak17/titanic-sanak", "kernel_id": "32623488"}, {"ref": "matthewweisberg/titanic-ensemble-classifier", "kernel_id": "32293546"}, {"ref": "rakkesharv/titanic-competition-with-random-forest-top-2", "kernel_id": "32996637"}, {"ref": "danieledd/titanic-model-pipeline", "kernel_id": "32698021"}, {"ref": "ahmedgadoo/titanic-classification-100-svc", "kernel_id": "32372753"}, {"ref": "kaikaizxc/guided-titanic-2", "kernel_id": "32171195"}, {"ref": "karengee/a-guide-to-handling-missing-values-in-python", "kernel_id": "32553878"}, {"ref": "kazukihashimoto/titanic-temp", "kernel_id": "32327538"}, {"ref": "danyowcheung/titanic-prediction", "kernel_id": "32755036"}, {"ref": "biocanter/public-titanic-xgb-top20-0-76", "kernel_id": "32501938"}, {"ref": "qiaoningchen/titanic-competition-lulu", "kernel_id": "32234942"}, {"ref": "kakassizheng/kakassi-first-ml-adventure", "kernel_id": "32081115"}, {"ref": "yuvalmastey/titanic", "kernel_id": "32835211"}, {"ref": "hachihaccchi/randomforest-ver1-3", "kernel_id": "32076295"}, {"ref": "gorkemaksoy/feature-engineering-part1", "kernel_id": "32711809"}, {"ref": "qrgdbz/pyspark-for-data-science", "kernel_id": "32046562"}, {"ref": "duosun123/titanic-demo2", "kernel_id": "32317432"}, {"ref": "duosun123/titanic-demo3", "kernel_id": "32319143"}, {"ref": "deanav/titanic", "kernel_id": "32724327"}, {"ref": "dmis0126/py-t1-1-iqr-expected-questions", "kernel_id": "32686191"}, {"ref": "madhurpant/advanced-plotly-analysis-titanic", "kernel_id": "32849316"}, {"ref": "madhurpant/knn-visualization-and-optimization", "kernel_id": "32248282"}, {"ref": "kangminseok99/20181589-1", "kernel_id": "32687892"}, {"ref": "kangminseok99/20181589-2-3", "kernel_id": "32929256"}, {"ref": "kangminseok99/20181589-2-2", "kernel_id": "32929147"}, {"ref": "kangminseok99/20181589-2-1", "kernel_id": "32928953"}, {"ref": "finnheaslop/predicting-fates-with-titanic", "kernel_id": "32142611"}, {"ref": "ashutoshrai12/eda-titanic-dataset", "kernel_id": "32641670"}, {"ref": "skupydoom/titanic-and-xgboost", "kernel_id": "32209188"}, {"ref": "wanghongming/titanic-tutorial", "kernel_id": "32422904"}, {"ref": "wanghongming/titanic-tutorial-various-machine-learning-methods", "kernel_id": "32946167"}, {"ref": "rcbhatt/titanic-xgboost-classification", "kernel_id": "32398416"}, {"ref": "amirrezamasoumi/simple-way-to-get-78-708-accuracy", "kernel_id": "32907289"}, {"ref": "idanbinayev/the-titanic-disaster", "kernel_id": "32554248"}, {"ref": "shilongzhuang/statistical-testing-guide-for-beginners", "kernel_id": "32617182"}, {"ref": "devharal/titanic10", "kernel_id": "32563961"}, {"ref": "devharal/titanicsurvival-xgboost", "kernel_id": "32603855"}, {"ref": "anisingh12090/titanic-survivor-predictions", "kernel_id": "32806909"}, {"ref": "t9sean/titanic-tutorial-for-beginners-2020", "kernel_id": "32658196"}, {"ref": "sailajaraja/exercise-arithmetic-and-variables", "kernel_id": "32580111"}, {"ref": "rafaelenostusang/tbc-tusang-rafael-enos", "kernel_id": "32381806"}, {"ref": "marcinrutecki/clustering-methods-comprehensive-study", "kernel_id": "32600417"}, {"ref": "marcinrutecki/outlier-detection-methods", "kernel_id": "32321674"}, {"ref": "shehualaba/titanic-model", "kernel_id": "32163031"}, {"ref": "idakarimi/titanic-prediction", "kernel_id": "32726293"}, {"ref": "nvlkumar/titanic-prediction", "kernel_id": "32868209"}, {"ref": "kimdonghyun123/20160485-2-3", "kernel_id": "32930015"}, {"ref": "kimdonghyun123/20160485-2-2", "kernel_id": "32929401"}, {"ref": "kimdonghyun123/20160485-2-1", "kernel_id": "32928991"}, {"ref": "kimdonghyun123/20160485-1", "kernel_id": "32928114"}, {"ref": "amitbakde/titanic-decision-tree-and-random-forest-model", "kernel_id": "32185996"}, {"ref": "sindhujakarinki/titanic-survival-prediction", "kernel_id": "32094242"}, {"ref": "choeneljeongseon/20190634-2-2", "kernel_id": "32929191"}, {"ref": "choeneljeongseon/20190634-2-1", "kernel_id": "32928717"}, {"ref": "choeneljeongseon/20190634-1-ipynb", "kernel_id": "32930102"}, {"ref": "giminosk/titanic-eda", "kernel_id": "32946104"}, {"ref": "abhinavmangalore/titanic-disaster-prediction-introductory", "kernel_id": "32672836"}, {"ref": "sbonelondhlazi/getting-started-with-titanic-ml", "kernel_id": "32598535"}, {"ref": "estercifuentesquiles/titanic-survival", "kernel_id": "32876967"}, {"ref": "puchongsaribut/titanic-newby", "kernel_id": "32164876"}, {"ref": "sergeykuligin/titanic", "kernel_id": "32306232"}, {"ref": "abrartaher75/titanic-survival", "kernel_id": "32233829"}, {"ref": "patriciaryserwelch/data-preparation-for-ml-techniques", "kernel_id": "32500895"}, {"ref": "ahmettalhabektas/how-can-you-make-up-your-data-part-2", "kernel_id": "32562289"}, {"ref": "fehmiozturk/my-titanic-notebook-for-data-science-training", "kernel_id": "32762454"}, {"ref": "jithinvyas/titanic-survival", "kernel_id": "32574445"}, {"ref": "galaxqq/linear-model-and-neural-net-from-scratch", "kernel_id": "32574538"}, {"ref": "ritikaagupta/titanic-classification-model", "kernel_id": "32609621"}, {"ref": "jashpalrajpurohit/notebook0e77537439", "kernel_id": "32627421"}, {"ref": "cloudyml/titanic-n", "kernel_id": "32096763"}, {"ref": "amaanfaheem/titanic-eda-upd", "kernel_id": "32666081"}, {"ref": "gevorgakopyan/my-first-notebook-on-kaggle-xgboost-stacking", "kernel_id": "32537704"}, {"ref": "lgomesl/titanic-models-accuracy-methods", "kernel_id": "32720275"}, {"ref": "arunmunagala/titanic-with-missing-values-submission", "kernel_id": "32729034"}, {"ref": "njipuy/titanic", "kernel_id": "32045255"}, {"ref": "sayaliadsul1/notebooke84b5facbd", "kernel_id": "32079638"}, {"ref": "ramendrachaudhary/ggplot-charts", "kernel_id": "32881614"}, {"ref": "mukulparmar26/titanic-survival-prediction", "kernel_id": "32094206"}, {"ref": "krishmerkrish/titanic-competition", "kernel_id": "32637384"}, {"ref": "shadaelewa/titanic-ml-models", "kernel_id": "32846227"}, {"ref": "dharamchopda/titanic-survival-report", "kernel_id": "32611521"}, {"ref": "nganfowilly/titanic-knn-svm-rf", "kernel_id": "32423684"}, {"ref": "alexisjsargbah/titanic-python-project", "kernel_id": "32068381"}, {"ref": "kobuchaumee/20221108", "kernel_id": "32130164"}, {"ref": "kobuchaumee/20230222", "kernel_id": "32045561"}, {"ref": "rmeades/my-titanic-survivor-predictions", "kernel_id": "32441102"}, {"ref": "rmeades/titanic-survivor-predictions-using-featurewiz", "kernel_id": "32948965"}, {"ref": "peacemonk/titanic-ml-model", "kernel_id": "32351964"}, {"ref": "ganpattak/titanic-logistic-lda-cart", "kernel_id": "32011629"}, {"ref": "shazy021/ru-predicting-titanic-with-spark-pandas-eda", "kernel_id": "32089851"}, {"ref": "haythamsh0/titanic-90", "kernel_id": "32406588"}, {"ref": "baturalpsert/titanic-eda-machine-learning", "kernel_id": "32090281"}, {"ref": "dharaningowda/visualization", "kernel_id": "32124375"}, {"ref": "waldowilbraham/titanic-project-example", "kernel_id": "32778281"}, {"ref": "rajkumarpandey02/titanic-eda-preprocessing-prediction", "kernel_id": "32587023"}, {"ref": "sirishakls/eda-on-titatnic-dataset", "kernel_id": "32831376"}, {"ref": "sungholim2210/classfication-binary-titanic", "kernel_id": "32117936"}, {"ref": "selvin3/titanicmachinelearningfromdisaster", "kernel_id": "32459906"}, {"ref": "borkarganesh/r-a-journey-with-tidymodels", "kernel_id": "32666292"}, {"ref": "eyoung2802/titanic-eda-and-model-building", "kernel_id": "32920675"}, {"ref": "ellathunen/titanic-eda-and-model-building", "kernel_id": "32920684"}, {"ref": "erenkzlrmak/titanic-machine-learning-from-disaster-snapml", "kernel_id": "32284899"}, {"ref": "yeemeitsang/titanic-sklearn", "kernel_id": "32093090"}, {"ref": "yeemeitsang/titanic-keras", "kernel_id": "32088218"}, {"ref": "asterfung/titanic-eda-randomforest-gridsearch", "kernel_id": "32457263"}, {"ref": "marilyngomezvasquez/titanic-aprendizaje-autom-tico", "kernel_id": "32916465"}, {"ref": "jerrychen0218/titanic-new-try", "kernel_id": "32524598"}, {"ref": "arsh1267/eda-on-titanic", "kernel_id": "32905767"}, {"ref": "mustafamdsajid/titanic-disaster-ml-model-analysis", "kernel_id": "32237159"}, {"ref": "hedrinsitorus/try-error-titanic", "kernel_id": "32250449"}, {"ref": "lukmanaliyuj/digging-into-titanic", "kernel_id": "32343450"}, {"ref": "pujanchitalia25/titanic", "kernel_id": "32462289"}, {"ref": "ofjeong/3-kyj", "kernel_id": "32285351"}, {"ref": "haoweihuangneu/assignment-3-titanic-survival", "kernel_id": "32342774"}, {"ref": "kaushikthepoet/notebookbb997ebaf7", "kernel_id": "32451909"}, {"ref": "mikuva39/20221186-1", "kernel_id": "32947728"}, {"ref": "rftlim/titanic-tree-ensemble-neural-network-techniques", "kernel_id": "32182022"}, {"ref": "mahrukhs/titanic-submission-1", "kernel_id": "32370740"}, {"ref": "jirasin02/csc345-titanic", "kernel_id": "32223486"}, {"ref": "leahkiernan/titanic-plss", "kernel_id": "32421727"}, {"ref": "glebivakin/titanic", "kernel_id": "32325560"}, {"ref": "vladkontsevykh/gridsearch-randomforestclassifier-solution", "kernel_id": "32358177"}, {"ref": "varvaroliver/savintseva-8305-n-2", "kernel_id": "32333901"}, {"ref": "yifengshao/titanicsolution", "kernel_id": "32586045"}, {"ref": "bhagyachengta/notebook-titanic", "kernel_id": "32222977"}, {"ref": "saumyadeepm/data-transformation-titanic-dataset", "kernel_id": "32476918"}, {"ref": "akshatarpatil/titanic-akshata", "kernel_id": "32310424"}, {"ref": "anjalimkiresur/2022-titanic-comp", "kernel_id": "32421230"}, {"ref": "ifrainr/notebook-0-79425", "kernel_id": "32314443"}, {"ref": "darshikamgowda/titanic", "kernel_id": "32428979"}, {"ref": "niswarth/titanic-machine-learning-from-disaster", "kernel_id": "32113169"}, {"ref": "sergean/8305-anukhin-race2", "kernel_id": "32333816"}, {"ref": "saramorgantepiano/titanic", "kernel_id": "32026623"}, {"ref": "seyyedrezamoslemi/titanic-dataset-predictions", "kernel_id": "32334175"}, {"ref": "ndhu410803033/titanic", "kernel_id": "32897322"}, {"ref": "ashbabkhan/problem-solving-using-logistic-regression", "kernel_id": "32097275"}, {"ref": "yipengzhou3/taitan-competion", "kernel_id": "32876620"}, {"ref": "siddhesh634/titanic-1", "kernel_id": "32886895"}, {"ref": "kalvindongamboa/notebookddbfad0085", "kernel_id": "32762419"}, {"ref": "kalvindongamboa/lboec3b-project-1", "kernel_id": "32802511"}, {"ref": "aniruddhakawarase/simple-matplotlib-visualization-tips", "kernel_id": "32256031"}, {"ref": "goshey/random-forest-classifier-for-titanic-prediction", "kernel_id": "32902745"}, {"ref": "atharvakadam333/titanic-eda-predicton-all-algorithms", "kernel_id": "32604178"}, {"ref": "atharvakadam333/titanic-eda-voting", "kernel_id": "32698853"}, {"ref": "danielnaryshev/titanic-machine-learning-from-disaster", "kernel_id": "32014893"}, {"ref": "aditya976/titanic-eda-and-model-building", "kernel_id": "32802269"}, {"ref": "jamieatiyah/titanic-analysis-and-predictions", "kernel_id": "32336737"}, {"ref": "pedro988/titanic-machine-learning", "kernel_id": "32349543"}, {"ref": "elenatsibulskaya/titanic-solution", "kernel_id": "32058014"}, {"ref": "kerimcanarslan/titanic-pipeline-with-log-reg", "kernel_id": "32595950"}, {"ref": "dezhnev8305/titanic-dezhnev-8305", "kernel_id": "32285008"}, {"ref": "terrykn/titanic-beginner", "kernel_id": "32707505"}, {"ref": "gvantsasandodze/dafa22-hw-regex-eda", "kernel_id": "32089405"}, {"ref": "reginaasylguzina/second-lab-is-titanic", "kernel_id": "32234259"}, {"ref": "artemiivoilokov/voilokov-titanic", "kernel_id": "32362899"}, {"ref": "umesalma/notebookb1f899dfec", "kernel_id": "32741466"}, {"ref": "rebeccapringle/titanic-competition-code", "kernel_id": "32204071"}, {"ref": "nikita8305/notebook7a0f52e960", "kernel_id": "32334756"}, {"ref": "monikawm/titanic-2022", "kernel_id": "32320180"}, {"ref": "yantik/notebook2cf3bbdbf9", "kernel_id": "32334738"}, {"ref": "nikhilyadav200/titanic", "kernel_id": "32801380"}, {"ref": "ozzzu277/notebook6b24ad27ee", "kernel_id": "32371285"}, {"ref": "makariyp/titanic-looking-for-the-best-way-to-predict", "kernel_id": "32187533"}, {"ref": "sanjayvuppugandla/titanic", "kernel_id": "32855447"}, {"ref": "maxsivo/titanic-ensemble-modeling", "kernel_id": "32610641"}, {"ref": "aigerimtokhmetova/titanic-tokhmetova", "kernel_id": "32229473"}, {"ref": "shashikeshkt/titanic-svc", "kernel_id": "32226564"}, {"ref": "krviswanathan/titanic-survival-prediction-gradient-boosting", "kernel_id": "32657902"}, {"ref": "garysuen/titanic-eda-and-modelling", "kernel_id": "32600428"}, {"ref": "erinmikail/titanic-tracking-survivalists", "kernel_id": "32074885"}, {"ref": "niranjankumart/exercise-arithmetic-and-variables", "kernel_id": "32715903"}, {"ref": "strangelee/20190592-1", "kernel_id": "32687895"}, {"ref": "strangelee/20190592-2-1", "kernel_id": "32929093"}, {"ref": "strangelee/20190592-2-3", "kernel_id": "32930032"}, {"ref": "strangelee/20190592-2-2", "kernel_id": "32929688"}, {"ref": "kokohoho/t2-1-titanic-72", "kernel_id": "32320319"}, {"ref": "bryteokyere/titanic-tutorial", "kernel_id": "32747036"}, {"ref": "emileel/titanic-case-1", "kernel_id": "32312125"}, {"ref": "theonlyaaronramirez/titanic-pi-aaron-ramirez", "kernel_id": "32849150"}, {"ref": "suryatejamacharla/titanic-dataset", "kernel_id": "32456845"}, {"ref": "yuiikorn/titaniccccc", "kernel_id": "32037598"}, {"ref": "aiyaratkhamthong/exercise-arithmetic-and-variables", "kernel_id": "32057719"}, {"ref": "zaidissa/titanic-using-keras-and-tf", "kernel_id": "32363615"}, {"ref": "prinkhapaliya/titanic-survivor-prediction", "kernel_id": "32251938"}, {"ref": "chyelingpui/acada6-group-3-jaslyn-chye-ling-valerie", "kernel_id": "32019174"}, {"ref": "sanjanasatish68l/my-titanic-project", "kernel_id": "32894677"}, {"ref": "sanjanasatish68l/my-first-ml-project", "kernel_id": "32893582"}, {"ref": "aydarmaytaliev/notebookfd60835957", "kernel_id": "32848625"}, {"ref": "databrainspro/getting-started-with-titanic", "kernel_id": "32375381"}, {"ref": "qw1koyaa/titanic-advanced-feature-engineering-tuto-8497ef", "kernel_id": "32121912"}, {"ref": "qw1koyaa/titanic-top-score-one-line-of-the-prediction", "kernel_id": "32123041"}, {"ref": "qw1koyaa/titanic-81-1-leader-board-score-guaranteed", "kernel_id": "32123080"}, {"ref": "qw1koyaa/titanic-0-82-0-83", "kernel_id": "32122532"}, {"ref": "qw1koyaa/titanic-advanced-feature-engineering-tutorial", "kernel_id": "32120998"}, {"ref": "chanyanit/titaniccccc-3c6acb", "kernel_id": "32160432"}, {"ref": "chanyanit/titaniccccc", "kernel_id": "32093018"}, {"ref": "mukhazarahmad/titanic-competition", "kernel_id": "32073382"}, {"ref": "boberf/pyspark-for-data-science", "kernel_id": "32755194"}, {"ref": "elhibry/titanic-project-by-el-hibry", "kernel_id": "32209681"}, {"ref": "soniau/exercise-arithmetic-and-variables", "kernel_id": "32428087"}, {"ref": "mailsantan/notebookcaf0a8a901", "kernel_id": "32022782"}, {"ref": "ying081/titanic1128", "kernel_id": "32783291"}, {"ref": "deetisood/who-survived-let-s-see", "kernel_id": "32440111"}, {"ref": "barborakudlov/titanic-catboostclass-cv-roc-auc-77-34", "kernel_id": "32848267"}, {"ref": "xuanjiali/bigdata-pyspark", "kernel_id": "32358337"}, {"ref": "mukandkrishna/titanic-tutorial", "kernel_id": "32378161"}, {"ref": "berkemk/titanic-random-forest", "kernel_id": "32362093"}, {"ref": "nikoolaylovyagin/forecasting-survival-on-titanic", "kernel_id": "32498032"}, {"ref": "gajimoo/py-t1-1-iqr-expected-questions", "kernel_id": "32433746"}, {"ref": "gauravkumarjha2146/titanic-survival", "kernel_id": "32198432"}, {"ref": "kimseg/eng-kor-titanic-rf-xgboost", "kernel_id": "32578727"}, {"ref": "faisalrizvi/titanic-ml-disaster", "kernel_id": "32444587"}, {"ref": "sebastianrola/titanic-competition", "kernel_id": "32261762"}, {"ref": "alisheromarbekov/titanic-notebook", "kernel_id": "32287837"}, {"ref": "arieswang98/titanic-ml-01", "kernel_id": "32287191"}, {"ref": "kelpyk/getting-started-with-titanic-case", "kernel_id": "32524950"}, {"ref": "kelpyk/titanic-classification-100-svc", "kernel_id": "32529685"}, {"ref": "emreozyurek/titanic-feature-engineering-data-preprocessing", "kernel_id": "32788874"}, {"ref": "ahmadhamad55/titanic-competition-my-first-project", "kernel_id": "32669315"}, {"ref": "kaizen97/titanic", "kernel_id": "32907664"}, {"ref": "henoshana/exercise-arithmetic-and-variables", "kernel_id": "32372797"}, {"ref": "christiantortega/mltitanic", "kernel_id": "32402470"}, {"ref": "saitejacharykonyala/saiteja-chary-iml-ct-lab", "kernel_id": "32418075"}, {"ref": "lynli101/lynli-titanic-solution-with-pandas", "kernel_id": "32540781"}, {"ref": "robotman0/titanic-notebook-pytorch-mlp", "kernel_id": "32441977"}, {"ref": "forgetabhi/hello-titanic", "kernel_id": "32822343"}, {"ref": "mayukha7/titanic-survival", "kernel_id": "32946943"}, {"ref": "prossienalukenge/ml-project-submission", "kernel_id": "32735511"}, {"ref": "prossienalukenge/submission-1", "kernel_id": "32677105"}, {"ref": "prossienalukenge/notebookef223e0a61", "kernel_id": "32609750"}, {"ref": "kimnayul/221122-titanic", "kernel_id": "32578942"}, {"ref": "yacoubahienkambou/exercise-arithmetic-and-variables", "kernel_id": "32592242"}, {"ref": "minhngo248/titanic", "kernel_id": "32604451"}, {"ref": "vladyslavischenkoisr/hw-1-ml-vladyslav-ishchenko-342388485", "kernel_id": "32640070"}, {"ref": "xiongmengyu/note1", "kernel_id": "32868042"}, {"ref": "chooyeanchan/titanic-beginner-230130", "kernel_id": "32645395"}, {"ref": "juanmad/titanic-predictions", "kernel_id": "32696567"}, {"ref": "maartenmagchiels/competition-titanic-v1", "kernel_id": "32684522"}, {"ref": "cavdaremre/titanic-eda", "kernel_id": "32675752"}, {"ref": "geonhyeoklee/20171462-1", "kernel_id": "32687898"}, {"ref": "geonhyeoklee/20171462-2-3", "kernel_id": "32928292"}, {"ref": "geonhyeoklee/20171462-2-2", "kernel_id": "32929646"}, {"ref": "geonhyeoklee/20171462-2-1", "kernel_id": "32931908"}, {"ref": "seungjunbae/20221561-2-2", "kernel_id": "32929608"}, {"ref": "seungjunbae/20221561-2-1", "kernel_id": "32929387"}, {"ref": "seungjunbae/20221561-2-3", "kernel_id": "32930125"}, {"ref": "seungjunbae/20221561-1", "kernel_id": "32928146"}, {"ref": "yeojunwon/20171656-2-3", "kernel_id": "32930651"}, {"ref": "yeojunwon/20171656-2-2", "kernel_id": "32930256"}, {"ref": "yeojunwon/20171656-2-1", "kernel_id": "32929490"}, {"ref": "yeojunwon/20171656-1", "kernel_id": "32687901"}, {"ref": "pty4437/20171646-1", "kernel_id": "32687896"}, {"ref": "pty4437/20171646-2-1", "kernel_id": "32928862"}, {"ref": "pty4437/20171646-2-2", "kernel_id": "32929195"}, {"ref": "pty4437/20171646-2-3", "kernel_id": "32929250"}, {"ref": "leejaeyoung0716/20171669-2-1", "kernel_id": "32929131"}, {"ref": "leejaeyoung0716/20171669-2-2", "kernel_id": "32928951"}, {"ref": "leejaeyoung0716/20171669-2-3", "kernel_id": "32929564"}, {"ref": "leejaeyoung0716/20171669-1", "kernel_id": "32687889"}, {"ref": "shoon100/20181641-1", "kernel_id": "32687890"}, {"ref": "shoon100/20181641-2-1", "kernel_id": "32688841"}, {"ref": "shoon100/20181641-2-3", "kernel_id": "32929015"}, {"ref": "shoon100/20181641-2-2", "kernel_id": "32928873"}, {"ref": "luukvanbeelen/tps-kaggle-challenge", "kernel_id": "32696586"}, {"ref": "enjoylife/rf-python-roc-0-84-accuracy-0-8-titanic-12-05", "kernel_id": "32728770"}, {"ref": "riteshpatil97/survivors-prediction-model-on-titanic-dataset", "kernel_id": "32986044"}, {"ref": "nnvme3/exercise-arithmetic-and-variables", "kernel_id": "32771528"}, {"ref": "nekomei/titanic-competition-notebook", "kernel_id": "32817563"}, {"ref": "anguyenn/titanic-final-project", "kernel_id": "32811896"}, {"ref": "shubhamc003/titanic-prediction-model", "kernel_id": "32943966"}, {"ref": "idoronen/ido-ronen-titanic-competition", "kernel_id": "32843578"}, {"ref": "najmsaadg3/notebook9574f48ee0", "kernel_id": "32871873"}, {"ref": "insightiger/20150622-2-1", "kernel_id": "32931599"}, {"ref": "insightiger/20150622-2-2", "kernel_id": "32930725"}, {"ref": "insightiger/20150622-2", "kernel_id": "32929091"}, {"ref": "insightiger/20150622-2-3", "kernel_id": "32929756"}, {"ref": "insightiger/20150622-1", "kernel_id": "32928071"}, {"ref": "youngdaeyoo/ch-11-12", "kernel_id": "33053365"}, {"ref": "dipanjansanyal/jumpstart-r", "kernel_id": "33209562"}, {"ref": "kashnitsky/chatgpt-baseline", "kernel_id": "33005985"}, {"ref": "xiefei/ch01-01-titanic", "kernel_id": "33204873"}, {"ref": "mousavin0/titanic-dataset-classification-models", "kernel_id": "33563186"}, {"ref": "impulsecorp/automl-benchmark-titanic-disaster", "kernel_id": "33292039"}, {"ref": "sarthakkr/titanic-predictions-v1", "kernel_id": "33336780"}, {"ref": "gpreda/titanic-data-analysis-model-prediction", "kernel_id": "33934026"}, {"ref": "akkefa/eda-on-titanic-dataset", "kernel_id": "33891381"}, {"ref": "mhanifi/titanic-survival-prediction", "kernel_id": "33679622"}, {"ref": "yashwanthgsetty/titanic-dataset-eda-and-prediction", "kernel_id": "33884604"}, {"ref": "shreyeshi/titanic-eda-and-classification", "kernel_id": "33391987"}, {"ref": "selcukcan/da-25-chi-squared-tests", "kernel_id": "33406590"}, {"ref": "selcukcan/da-26-anova", "kernel_id": "33407462"}, {"ref": "selcukcan/da-21-descriptive-statistics", "kernel_id": "33225820"}, {"ref": "selcukcan/da-23-confidence-intervals", "kernel_id": "33212029"}, {"ref": "rajeevkrishnanv/titanic-ml-from-disaster", "kernel_id": "33979164"}, {"ref": "marcogorelli/titanic-tutorial-in-polars", "kernel_id": "33023417"}, {"ref": "anunnikrishnan/titanic-data-prediction", "kernel_id": "33194595"}, {"ref": "romanchi/titanic-notebook", "kernel_id": "33826521"}, {"ref": "kajubadaam/titanic-simple-gradient-boosted", "kernel_id": "33881608"}, {"ref": "blacksheepwall0305/get-accuracy-stable-above-80-2022-12", "kernel_id": "33602537"}, {"ref": "rey4prox/test-of-titanic-training-with-k-neighbors", "kernel_id": "33046141"}, {"ref": "haider12/titanic-competition-submission", "kernel_id": "33368102"}, {"ref": "devkrishnakc/ensemble-test", "kernel_id": "33302921"}, {"ref": "devkrishnakc/titanic-eda-ads-prep", "kernel_id": "33172994"}, {"ref": "prem00/titanic-using-ml-logistic-regression", "kernel_id": "33200273"}, {"ref": "simgehlvc/it-533-data-mining-project-1", "kernel_id": "33202032"}, {"ref": "isaacdbc/titanic-eda-tutorial-5-models", "kernel_id": "33454917"}, {"ref": "udayanguha/titanic-first-submission-ug", "kernel_id": "33594081"}, {"ref": "samantastats/titanic-data-basic-eda-classification-python", "kernel_id": "33191193"}, {"ref": "kvasu023/aig-v1", "kernel_id": "33389943"}, {"ref": "saswat17/titanic", "kernel_id": "33512269"}, {"ref": "rianferian/titanic-case", "kernel_id": "33731209"}, {"ref": "mazhar004/titanic-data-with-matplotlib", "kernel_id": "33900866"}, {"ref": "abdualimov/nona-library-simple-filling-in-gaps", "kernel_id": "33956127"}, {"ref": "nityampareek/predictive-power-scores-and-correlations", "kernel_id": "33947990"}, {"ref": "hetarthchopra/global-nn-feature-selection", "kernel_id": "33424121"}, {"ref": "hetarthchopra/neural-network-feature-selection", "kernel_id": "33344786"}, {"ref": "erenakbulut/auto-eda-using-pandas-profiling", "kernel_id": "33063055"}, {"ref": "erenakbulut/eda-model-discovery-hyperparam-tuning-failure-xd", "kernel_id": "33171551"}, {"ref": "jayosprey/jkim-titanic-418", "kernel_id": "33654348"}, {"ref": "brijeshawasthi/titanic-dataset-eda", "kernel_id": "33986657"}, {"ref": "lavagod/titanic-minimum-code-0-78468", "kernel_id": "33183813"}, {"ref": "lavagod/titanic-pipeline-code-0-76076", "kernel_id": "33821566"}, {"ref": "bakhtiarmuhib/titanic-with-logistic-regression", "kernel_id": "33817197"}, {"ref": "flaviusbiras/full-data-pipeline-randomforestclassifier", "kernel_id": "33928297"}, {"ref": "elifozge/data-science-titanic-eda", "kernel_id": "33597213"}, {"ref": "kagarg/titanic", "kernel_id": "33713667"}, {"ref": "monalineelakandan/titanic-dataset-using-knn", "kernel_id": "33080105"}, {"ref": "owlcam/titanic-cat-boost", "kernel_id": "33344256"}, {"ref": "artemglazunov1990/titanic-starters-blending-and-features-selection", "kernel_id": "33585886"}, {"ref": "binoolivermanjesh/titanic-machine-learning-from-disaster", "kernel_id": "33663789"}, {"ref": "shulazshan/titanic-machine-learning-from-disaster", "kernel_id": "33654933"}, {"ref": "armantalat/titanic-catboost", "kernel_id": "33821661"}, {"ref": "raneshguruparan/python-titanic-machine-learning-from-disaster", "kernel_id": "33964587"}, {"ref": "mustang007/pandas-to-pyspark", "kernel_id": "33870887"}, {"ref": "shehab162519/final-project", "kernel_id": "33845858"}, {"ref": "eduardoolivasandoval/classification-models-with-titanic-data-top-4", "kernel_id": "33913350"}, {"ref": "tomonorisasaki/simple-eda-and-prediction-with-svm", "kernel_id": "33038026"}, {"ref": "carlaoliveira/competion-titanic", "kernel_id": "33671907"}, {"ref": "mehmetuuratmaca/titanic-data-analysis", "kernel_id": "33172985"}, {"ref": "nigelyeap/titanic-notebook-by-a-beginner", "kernel_id": "33058592"}, {"ref": "acelyauslu/titanic-eda", "kernel_id": "33228288"}, {"ref": "lyasdemir/titanic-ramdom-forest-solution", "kernel_id": "33934727"}, {"ref": "pavelgordeychuk/titanic-survival-forecast-with-logistic-regression", "kernel_id": "33638971"}, {"ref": "swey24/titanic-eda-ml", "kernel_id": "33834473"}, {"ref": "abdullahfazili/try1-nn", "kernel_id": "33948361"}, {"ref": "brzoskwina/titanic-logistic-regression", "kernel_id": "33321068"}, {"ref": "imamahmadqusyairi/titanic-prediction-using-tree-based-model", "kernel_id": "33753840"}, {"ref": "dhirajjha223/titanic-survival-predication", "kernel_id": "33434872"}, {"ref": "cosmiccat/titanic", "kernel_id": "33700881"}, {"ref": "cynthycynthy/titanic-dataset-analysis", "kernel_id": "33427219"}, {"ref": "alphinjain/exploratory-data-analysis-on-titanic", "kernel_id": "33172909"}, {"ref": "fuki29/handle-dist-diff-between-train-and-test", "kernel_id": "33147147"}, {"ref": "fuki29/feature-selection-and-adversarial-validation", "kernel_id": "33223177"}, {"ref": "muskaanwalia/titanickaggle", "kernel_id": "33976011"}, {"ref": "irving178/kaggle-titanic", "kernel_id": "33140285"}, {"ref": "wilmarmurillo/notebook-titanic", "kernel_id": "33545466"}, {"ref": "spac3ali3n/exercise-arithmetic-and-variables", "kernel_id": "33918583"}, {"ref": "aklimarimi/data-cleaning-a-handbook", "kernel_id": "33046305"}, {"ref": "aklimarimi/analysis-and-story", "kernel_id": "33091731"}, {"ref": "yehiahossam/titanic-disaster-prediction", "kernel_id": "33993892"}, {"ref": "irishardege/titanic", "kernel_id": "33820946"}, {"ref": "bomaich/titanic-disaster-a-genetic-algorithm-approach", "kernel_id": "33123108"}, {"ref": "artugceylan/titanic-survived-eda-prediction", "kernel_id": "33385109"}, {"ref": "logancummins/titanic-data-with-pipelines", "kernel_id": "33534082"}, {"ref": "seokwonmyeong/1st-titanic", "kernel_id": "33968235"}, {"ref": "waiting0314/dnn-xgb-random-forest", "kernel_id": "33370101"}, {"ref": "kimmik123/all-about-backpropagation", "kernel_id": "33519915"}, {"ref": "arzucakir/titanic-notebook", "kernel_id": "33052191"}, {"ref": "arzucakir/titanic-machine-learning-example", "kernel_id": "33057070"}, {"ref": "rashaabdin/titanic-rasha", "kernel_id": "33396372"}, {"ref": "mratunjaysingh/getting-started-with-kaggle-titanic-dataset", "kernel_id": "33674406"}, {"ref": "alanwang7/titanic-notebook", "kernel_id": "33027801"}, {"ref": "sabinakhadysy/titanic-ml-from-disaster", "kernel_id": "33425908"}, {"ref": "joaopedra/titanic-machine-learning-exploring", "kernel_id": "33001021"}, {"ref": "nimahmasuud/titanic-data-analysis-model-prediction", "kernel_id": "33772849"}, {"ref": "tomhardman/titanic-comp-79-accuracy", "kernel_id": "33640944"}, {"ref": "stevenlasch/deep-learning-approach", "kernel_id": "33339569"}, {"ref": "nithinreddyvangala/titanic-logistic-regression", "kernel_id": "33213050"}, {"ref": "xixdfniuniu/xgboost-accuracy-84", "kernel_id": "33404919"}, {"ref": "noir3747/titanic-prediction", "kernel_id": "33536600"}, {"ref": "minaxiwadgure/univariate-analysis-on-titanic-dataset", "kernel_id": "33629098"}, {"ref": "mridulsyed/titanic-updated", "kernel_id": "33813060"}, {"ref": "sushantpatil04/pyspark-tutorial-2-pyspark-for-data-science", "kernel_id": "33401524"}, {"ref": "estefaniaortiz/proyectointegrador-sobreviviendo-al-titanic-eoc", "kernel_id": "33101482"}, {"ref": "luispena706/titanic-survival-proyecto-final", "kernel_id": "33203112"}, {"ref": "hasikchoi/titanic-tutorial", "kernel_id": "33507976"}, {"ref": "idooriane/ex1-solution", "kernel_id": "33060831"}, {"ref": "idooriane/ex3-solution", "kernel_id": "33963318"}, {"ref": "ibsanmorales/linear-model-and-neural-net-from-scratch", "kernel_id": "33127773"}, {"ref": "ibsanmorales/how-random-forests-really-work", "kernel_id": "33127781"}, {"ref": "baronting/titanic-data-mining", "kernel_id": "33374335"}, {"ref": "msuhaib/titanic-disaster-survival-prediction", "kernel_id": "33404374"}, {"ref": "cipollinonewbie/prediction-through-the-decision-tree-93", "kernel_id": "33268434"}, {"ref": "bhagyadeeppawaskar/notebook4b7814a0b2", "kernel_id": "33957987"}, {"ref": "luckychitundu/eda-logistic-regression-lda-qda-bagging-boosting", "kernel_id": "33507455"}, {"ref": "cristianhernancrucci/titanicrandomforest", "kernel_id": "33358278"}, {"ref": "muhabriyansyah/exercise-1-arithmetic-and-variables", "kernel_id": "33734482"}, {"ref": "sebasmanco/titanic-linear-model-from-scratch", "kernel_id": "33005196"}, {"ref": "huongnguyenquynh/gradient-boosting-acc-82", "kernel_id": "33343656"}, {"ref": "aniketshrivastav966/titanic-assignment", "kernel_id": "33852151"}, {"ref": "alejandropiury/titanic", "kernel_id": "33642682"}, {"ref": "heemalichaudhari/data-analysis-feature-extraction-with-python", "kernel_id": "33685335"}, {"ref": "gregoriusbayuaji/exercise-arithmetic-and-variables", "kernel_id": "33463429"}, {"ref": "muhammedmamdouhsalah/anova", "kernel_id": "33957119"}, {"ref": "fabingarca/titanic-challenge", "kernel_id": "33648565"}, {"ref": "mayurbhorkar/titanic-tutorial", "kernel_id": "33825624"}, {"ref": "noraibraheem/titaniccompetition", "kernel_id": "33099547"}, {"ref": "bhanudasrawade/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392612"}, {"ref": "ayasaadamin/titanic", "kernel_id": "33297191"}, {"ref": "ayasaadamin/logsticregressiontitanic", "kernel_id": "33298366"}, {"ref": "malikhamzakhalid/exercise-arithmetic-and-variables", "kernel_id": "33959251"}, {"ref": "abhinayasaravanan/titanic-survival-pred-deeplearning", "kernel_id": "33537116"}, {"ref": "idebmalya/titanic-disaster-survival-prediction", "kernel_id": "33465439"}, {"ref": "imvikash/titanic-classification", "kernel_id": "33300958"}, {"ref": "shampydaaku/titanic-competition-beginner", "kernel_id": "33657592"}, {"ref": "sarvenazchaeibakhsh/titanic-logisticregression", "kernel_id": "33211386"}, {"ref": "takumisakiyama/titanic-problem-solution", "kernel_id": "33886847"}, {"ref": "karenkao/titanic-data-science-solutions", "kernel_id": "33833105"}, {"ref": "suvedhas/titanic", "kernel_id": "33450610"}, {"ref": "jinxiushi/titanic-prediction", "kernel_id": "33020668"}, {"ref": "andreyin/titanic-with-lightgbm-without-analysis", "kernel_id": "33570061"}, {"ref": "albndriabdullah/explaining-random-forest-model-with-lime", "kernel_id": "33774472"}, {"ref": "sreekanthmangalan/titanic-model", "kernel_id": "33497739"}, {"ref": "ilian1050/titanic-competition", "kernel_id": "33638347"}, {"ref": "vibhorgoyal0301/titanic-logistic-regression", "kernel_id": "33060575"}, {"ref": "rasikadeshmukh555/titanic-disaster-management", "kernel_id": "33700335"}, {"ref": "alegallagher/titanic-0-78-accuracy", "kernel_id": "33852028"}, {"ref": "omololaokebiorun/titanic-survival-prediction", "kernel_id": "33937386"}, {"ref": "rodrigozambon/cheatsheet-70-ggplot-charts", "kernel_id": "33385581"}, {"ref": "debsandipagt/titanic-machine-learning-from-disaster", "kernel_id": "33920584"}, {"ref": "purshotamsharma/lgbm-titanic-machine-learning", "kernel_id": "33549839"}, {"ref": "vedlilhare/notebookc1a9ef98c0", "kernel_id": "33727598"}, {"ref": "leeked/titanic-review", "kernel_id": "33852195"}, {"ref": "amanzechijioke/predictive-analysis-of-the-titanic-dataset", "kernel_id": "33011041"}, {"ref": "carlosgaravatti/titanic-ridge-regression", "kernel_id": "33573598"}, {"ref": "akarinokadze/titanic-competition-5-models-and-stacking", "kernel_id": "33922743"}, {"ref": "ghazanfarali96/ghazanfar-titanic", "kernel_id": "33665069"}, {"ref": "saladineahmatbarkai/notebook078e047646", "kernel_id": "33646227"}, {"ref": "seuwenfei/titanic-random-forest-cv-score-0-85", "kernel_id": "33736030"}, {"ref": "thiagopereiradelima/titanic-disaster-tutorial", "kernel_id": "33386004"}, {"ref": "sanchitnamdeo/titantic-notebook", "kernel_id": "33567208"}, {"ref": "famapa/titanic-competition-v1", "kernel_id": "33309734"}, {"ref": "burakmeric1907/burakmrckararagacigraph", "kernel_id": "33498750"}, {"ref": "burakmeric1907/burakmrckararagaci", "kernel_id": "33498707"}, {"ref": "heerasingh/titanic-solution", "kernel_id": "33181963"}, {"ref": "ibrohimsharipov/pandas-project-for-beginners", "kernel_id": "33194547"}, {"ref": "aibamayaalvarez/titanic-ensemble-model", "kernel_id": "33984879"}, {"ref": "nakulbawa/feature-engineering-with-without-fastai-framework", "kernel_id": "33043748"}, {"ref": "cea327simranmallar/titanic-survival-prediction-basic-eda", "kernel_id": "33252636"}, {"ref": "nikitaku/notebook81f6a2f208", "kernel_id": "33735384"}, {"ref": "smailaar/titanic-machine-learning-competitions-acc-98", "kernel_id": "33587272"}, {"ref": "weiwsc/titanic-modeling-with-logistic-regression", "kernel_id": "33141885"}, {"ref": "ulrikthygepedersen/analysis-feature-engineering-and-modelling", "kernel_id": "33902491"}, {"ref": "maheralaabed/titanic-new-analysis", "kernel_id": "33082579"}, {"ref": "bensonmoses/titanic-classification-logistic-regression-and-svm", "kernel_id": "33571744"}, {"ref": "thomascrawley/titanic-machine-learning-from-disaster", "kernel_id": "33679116"}, {"ref": "ayushimahajan/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392706"}, {"ref": "saikat978/titanic-dataset", "kernel_id": "33123488"}, {"ref": "vidhikishorwaghela/titanic-prediction-ml-model-1", "kernel_id": "33832994"}, {"ref": "rinkudave/notebook231bbe2bc9", "kernel_id": "33958252"}, {"ref": "samra22/titanicpredictsurvival", "kernel_id": "33917325"}, {"ref": "mehmetgkmen/karar-agaci-graph", "kernel_id": "33496296"}, {"ref": "mehmetgkmen/karar-a-ac", "kernel_id": "33496207"}, {"ref": "farzadnekouei/titanic-feature-extraction-xgboost-classifier", "kernel_id": "33764438"}, {"ref": "jonathansocoy/titanic-survival-prediction", "kernel_id": "33521354"}, {"ref": "ehtck13/pandas-profiling-titanic", "kernel_id": "33721790"}, {"ref": "ehtck13/titanic-dataset-0-77033", "kernel_id": "33294697"}, {"ref": "sandhyasolanki/titanic-model-prediction", "kernel_id": "33379080"}, {"ref": "mohamedetman/titaniccompetition", "kernel_id": "33100511"}, {"ref": "yiiiiivak/titanic-survived-prediction", "kernel_id": "33666983"}, {"ref": "mohammedsabryi/getting-started-with-titanic", "kernel_id": "33241389"}, {"ref": "oenvespa/titanic-prediction-using-random-forest-classifier", "kernel_id": "33768620"}, {"ref": "felixgirard/titanic", "kernel_id": "33383384"}, {"ref": "thepbordin/basic-random-forest", "kernel_id": "33129358"}, {"ref": "prashalruchiranga/logistic-regression-on-titanic-dataset", "kernel_id": "33799002"}, {"ref": "shrutimukhtyar/titanic-ml-competition", "kernel_id": "33209183"}, {"ref": "shilongzhuang/neural-network-guide-for-beginners", "kernel_id": "33369451"}, {"ref": "lchooo/top-5-my-titanic", "kernel_id": "33949711"}, {"ref": "danieldeamarques/titanic-using-random-forest-classifier", "kernel_id": "33074387"}, {"ref": "maoel31/titanic-disaster-machine-learning-decison-tree", "kernel_id": "33857064"}, {"ref": "marcinrutecki/multicollinearity-detection-and-remedies", "kernel_id": "33059688"}, {"ref": "nathanselig/nathan-selig-titanic-walk-through", "kernel_id": "33906461"}, {"ref": "janjibdev/titanic-2022", "kernel_id": "33624422"}, {"ref": "saifbodu/exercise-arithmetic-and-variables", "kernel_id": "33743371"}, {"ref": "maxwellfisher/cpsc6770fisher-assign3", "kernel_id": "33243436"}, {"ref": "kholmogorovaaa/titanic-survived-model", "kernel_id": "33981256"}, {"ref": "getnymba/linear-regression-on-titanic-s-data", "kernel_id": "33123756"}, {"ref": "amitbakde/titanic-dataset-classification-using-lazypredict", "kernel_id": "33282658"}, {"ref": "muditsharma30/titanic-competition-solution", "kernel_id": "33338544"}, {"ref": "amirmotefaker/titanic-machine-learning-from-disaster-best", "kernel_id": "33746360"}, {"ref": "mitulsp/titanic-machine-learning-from-disaster", "kernel_id": "33283421"}, {"ref": "madotra/titanic-version-1", "kernel_id": "33540050"}, {"ref": "nikzagl/titanic-from-russian-student", "kernel_id": "33810019"}, {"ref": "nazilkabaz/titanic-survival-prediction", "kernel_id": "33639268"}, {"ref": "burhanozdemir/titanic-eda-pred-ct-on", "kernel_id": "33049279"}, {"ref": "yusufemreylmaz/t-taniceda", "kernel_id": "33804294"}, {"ref": "dmitriysosnovskiy/titanic", "kernel_id": "33679147"}, {"ref": "mattop/example-output-of-fasteda-on-titanic-dataset", "kernel_id": "33034952"}, {"ref": "archanavulavala/titanic-survival-predictions", "kernel_id": "33160343"}, {"ref": "nikhil1sharma/titanic-project", "kernel_id": "33547608"}, {"ref": "jaiminmukeshjariwala/titanic-competition", "kernel_id": "33754027"}, {"ref": "yunusemrebaser/karar-agaci", "kernel_id": "33494455"}, {"ref": "tamirchong/titanic-survival-prediction-using-random-forest", "kernel_id": "33495701"}, {"ref": "ahmedramadanmephi/titanic", "kernel_id": "33514054"}, {"ref": "senapatirajesh/eda-prediction-dietanic", "kernel_id": "33833040"}, {"ref": "senapatirajesh/titanic-prediction", "kernel_id": "33839246"}, {"ref": "sushilyeotiwad/breast-cancer-using-pca-machine-learning-pipeline", "kernel_id": "33588836"}, {"ref": "sushilyeotiwad/water-quality-classification-using-ml-model", "kernel_id": "33631554"}, {"ref": "youcefbel/titanic-machine-learning", "kernel_id": "33517150"}, {"ref": "fahmidaalamrafa/final-titanic-project", "kernel_id": "33706822"}, {"ref": "vcnaryo/titanic-survivability-model", "kernel_id": "33338868"}, {"ref": "danglado/titanic-top20", "kernel_id": "33131524"}, {"ref": "himadrikundu/predicting-the-survival-with-adam-optimizer", "kernel_id": "33110252"}, {"ref": "tolgasensoy/titanic-project", "kernel_id": "33470169"}, {"ref": "nawazkhanpathan/titanic-machine-learning", "kernel_id": "33067855"}, {"ref": "ambujdevsingh/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392803"}, {"ref": "ignoreandfly/svm-titanic-beginner", "kernel_id": "33732406"}, {"ref": "idarezaei/titanic-analysis-and-prediction-using-catboost", "kernel_id": "33699712"}, {"ref": "phornpitakk/model-classification-titanic", "kernel_id": "33881804"}, {"ref": "anaalucca/titanic-com-regressao-logistica", "kernel_id": "33363055"}, {"ref": "ahmedashrafahmed/titanic-machine-learning-from-disaster", "kernel_id": "33004693"}, {"ref": "rahul416/machine-learning-with-logistic-and-knn-model", "kernel_id": "33170348"}, {"ref": "favourchigozirim/starting-ml-with-titanic-model", "kernel_id": "33422261"}, {"ref": "ashutoshkumarpathak/titanic-ml", "kernel_id": "33653990"}, {"ref": "gandewarrajabalaji/logistic-ps", "kernel_id": "33969786"}, {"ref": "suyashkapil/titanic-neural-network-prediction-and-eda", "kernel_id": "33183239"}, {"ref": "tychen14/decision-tree-with-age-prediction", "kernel_id": "33951891"}, {"ref": "deeprajsinhgohil/titanic-dataset-eda-and-prediction", "kernel_id": "33343785"}, {"ref": "klsu023/ml-final", "kernel_id": "33561097"}, {"ref": "rushiekarteekchalla/titanic-data-science-solutions", "kernel_id": "33469052"}, {"ref": "mohitrai1705/titanicdataset", "kernel_id": "33594495"}, {"ref": "nishantborkar/svm-model-best-for-accuracy", "kernel_id": "33250860"}, {"ref": "nishantborkar/bagging-model-for-best-prediction", "kernel_id": "33464866"}, {"ref": "jawharahyousef/getting-started-with-titanic", "kernel_id": "33009598"}, {"ref": "pranavpadmanabhan/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392605"}, {"ref": "kehindeadejoro/kehinde-adejoro", "kernel_id": "33876143"}, {"ref": "parvishkakarapalli/getting-started-with-titanic", "kernel_id": "33952541"}, {"ref": "adpieta/predicting-titanic-survivors", "kernel_id": "33765509"}, {"ref": "satyampandey4229/titanic", "kernel_id": "33848689"}, {"ref": "kiarminghaffari/titanic-ml", "kernel_id": "33879524"}, {"ref": "rahulwadwani/titanic-dataset", "kernel_id": "33774461"}, {"ref": "dianasimon/exploring-survival-on-the-titanic", "kernel_id": "33655717"}, {"ref": "mohamedafsal007/titanic-prediction-model", "kernel_id": "33810181"}, {"ref": "kavinkv/titanic-knn", "kernel_id": "33682509"}, {"ref": "kavinkv/titanic-prediction", "kernel_id": "33656049"}, {"ref": "kavinkv/titanic-2", "kernel_id": "33664381"}, {"ref": "jeyasrisenthil/titanic-eda-random-forest-classifier", "kernel_id": "33721770"}, {"ref": "kaanishsk/titanic-prediction", "kernel_id": "33739024"}, {"ref": "ramendrachaudhary/titanic-machine-learning-from-disaster", "kernel_id": "33265677"}, {"ref": "noyhanan/noy-hanan-titanic-comp", "kernel_id": "33087513"}, {"ref": "hemanth2003/eda-on-titanic", "kernel_id": "33021084"}, {"ref": "dapreb/titanic-survival", "kernel_id": "33722229"}, {"ref": "ohagwucollinspatrick/titanic-survival-prediction-w-randomforest", "kernel_id": "33921960"}, {"ref": "atharvt14/eda-on-titanic", "kernel_id": "33654033"}, {"ref": "pumpkin18/titanic-survival-using-logistic-regression", "kernel_id": "33561619"}, {"ref": "saifalaslamfares/getting-started-with-titanic", "kernel_id": "33536862"}, {"ref": "blurridge/predicting-survival-on-the-titanic", "kernel_id": "33899577"}, {"ref": "fabriziosgro/notebook921289c4f9", "kernel_id": "33072616"}, {"ref": "koraybayso/random-forest-with-titanic", "kernel_id": "33801811"}, {"ref": "abraamadamidis/titanic-eda-machine-learning-newbiew-edition", "kernel_id": "33069032"}, {"ref": "adityasingh5/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392610"}, {"ref": "moeezinaam/function-transformer", "kernel_id": "33282899"}, {"ref": "akanksha10/titanic", "kernel_id": "33801414"}, {"ref": "zhanglfeng/titanicdata-zlf", "kernel_id": "33453092"}, {"ref": "aminehadjmeliani/titanic-linearsvc-vs-xgboost", "kernel_id": "33135107"}, {"ref": "rohan8771/titanic-eda-feature-engineering-xgboost", "kernel_id": "33851844"}, {"ref": "pankati/getting-started-with-titanic", "kernel_id": "33362748"}, {"ref": "rajkumarpandey02/titanic-survival-prediction-top-10", "kernel_id": "33146376"}, {"ref": "doongarsinghnadgali/titanic-machine-learning-from-disaster", "kernel_id": "33578946"}, {"ref": "zittagustavo/xgboost-titanic", "kernel_id": "33097785"}, {"ref": "jeromeseah/titanic-dataset-using-ohe", "kernel_id": "33284762"}, {"ref": "seojinpark2001/eda-to-prediction-dietitanic-seojin", "kernel_id": "33518397"}, {"ref": "uvada55216/ti-comp-with-pipeline", "kernel_id": "33162113"}, {"ref": "amangupta20/solution-to-titanic-problem", "kernel_id": "33867206"}, {"ref": "yasirakyzl/titanic-ml-project-100-accuracy-with-svc", "kernel_id": "33007405"}, {"ref": "jokest/titanic-knn", "kernel_id": "33727454"}, {"ref": "jokest/titanic-heuristic-gender", "kernel_id": "33727426"}, {"ref": "jokest/titanic-simple-neural-network", "kernel_id": "33727612"}, {"ref": "jokest/titanic-adaboost", "kernel_id": "33727583"}, {"ref": "jokest/titanic-svm", "kernel_id": "33727594"}, {"ref": "jokest/titanic-decision-tree", "kernel_id": "33727510"}, {"ref": "jokest/titanic-random-forest", "kernel_id": "33727536"}, {"ref": "jokest/titanic-logistic-regression", "kernel_id": "33727564"}, {"ref": "carolynboles/titanic-quest", "kernel_id": "33101215"}, {"ref": "arund8888/titanic-classification-models-score-73", "kernel_id": "33517720"}, {"ref": "migueltorresacosta/classification-titanic-disaster-score-0-789", "kernel_id": "33279979"}, {"ref": "georgioskaragiannis/titanic-project-using-different-methods", "kernel_id": "33350440"}, {"ref": "mahalakshmi2003/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "33921000"}, {"ref": "sarahemiliehansen/notebook9b060c9b4e", "kernel_id": "33716508"}, {"ref": "minghsieh0302/titanic-ming", "kernel_id": "33512683"}, {"ref": "sagamondal/q11-clusteringontitanic", "kernel_id": "33881117"}, {"ref": "mahmoudabdelaziz01/titanic-disaster-logistic-gradient-descent", "kernel_id": "33951223"}, {"ref": "ramkan07/titan2", "kernel_id": "33981083"}, {"ref": "abaliyan/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392596"}, {"ref": "dharshanadhanendran/titanic-dataset-using-naive-bayes", "kernel_id": "33907735"}, {"ref": "kavishchaudhary1003/titanic-classification-multiple-models", "kernel_id": "33126025"}, {"ref": "gennadyvilleneuve/accuracy-0-96-but", "kernel_id": "33520662"}, {"ref": "kmdev1/titan", "kernel_id": "33181388"}, {"ref": "nikolaypopurey/nikolaypopurey-2lab", "kernel_id": "33277442"}, {"ref": "feeko256/notebookb83702e750", "kernel_id": "33327539"}, {"ref": "ernestknurov/titanic-decision-tree-numpy", "kernel_id": "33978616"}, {"ref": "ernestknurov/titanic-logistic-regression-numpy", "kernel_id": "33843689"}, {"ref": "jeongz/bestscore-0-78947-kaggle-titanic-try1-jeong", "kernel_id": "33945269"}, {"ref": "jeongz/bestscore-0-78468-kaggle-titanic-try3-jeong", "kernel_id": "33945897"}, {"ref": "jeongz/bestscore-0-81578-kaggle-titanic-try2-jeong", "kernel_id": "33945715"}, {"ref": "neeeeoooo/titanic-binary", "kernel_id": "33354167"}, {"ref": "neeeeoooo/titanic", "kernel_id": "33252034"}, {"ref": "dameer/logistic-regression-for-titanic-homework", "kernel_id": "33296126"}, {"ref": "nehal47hassan/titanic-extratreesclassifier-75", "kernel_id": "33301055"}, {"ref": "yasinburakaydn/titanic-eda-analysis", "kernel_id": "33580376"}, {"ref": "kartheektbk/titanic-survival-predictions", "kernel_id": "33083793"}, {"ref": "takec0ver/titanic-lab-v1", "kernel_id": "33327150"}, {"ref": "a1exfench/notebookfb2b0c8eef", "kernel_id": "33327361"}, {"ref": "junyds/titanic-machine-learning-from-disaster", "kernel_id": "33356426"}, {"ref": "sibelz/notebook4f4c158dc3", "kernel_id": "33703929"}, {"ref": "linggambul/getting-started-with-titanic", "kernel_id": "33689255"}, {"ref": "anushreek15/titanic", "kernel_id": "33957574"}, {"ref": "rootarda/karar-a-a-lar", "kernel_id": "33471664"}, {"ref": "yaseminycel/titanic-veri-seti-karar-agaclari", "kernel_id": "33424897"}, {"ref": "lunaticofringe/titanic-solution-using-random-forest-tool-r", "kernel_id": "33663106"}, {"ref": "moh3we5/titanic-machine-learning-from-disaster-95", "kernel_id": "33548586"}, {"ref": "karnangopalakrishnan/titanic-first-comp", "kernel_id": "33415874"}, {"ref": "akshaykhamparia/titanic-solution-using-random-forest-tool-r", "kernel_id": "33905807"}, {"ref": "tanufac/tree-competitions-titanic", "kernel_id": "33582397"}, {"ref": "shubhamsingh57/titanic-survival-prediction-accuracy-78", "kernel_id": "33492384"}, {"ref": "shubhamsingh57/titanic-prediction", "kernel_id": "33581588"}, {"ref": "shubhamsingh57/titanic-prediction-accuracy-84", "kernel_id": "33627903"}, {"ref": "preciousosokoya/titanic", "kernel_id": "33362364"}, {"ref": "ayeshairshadcoder/titanic", "kernel_id": "33509339"}, {"ref": "serifecoskun/titanic-veri-seti-karar-a-ac", "kernel_id": "33456445"}, {"ref": "natanrincker/titanic-challenge", "kernel_id": "33212503"}, {"ref": "severalcube22/big-data-project", "kernel_id": "33136688"}, {"ref": "dilarabattal/k-en-ak-n-karar-a-ac", "kernel_id": "33382945"}, {"ref": "dilarabattal/perceptron", "kernel_id": "33672547"}, {"ref": "mahikkaaa/titanic-machine-learning-from-disaster", "kernel_id": "33416911"}, {"ref": "harinuu/titanic-using-logistic-regression", "kernel_id": "33684219"}, {"ref": "furkansau/titanic-survive-with-ai", "kernel_id": "33571242"}, {"ref": "furkansau/titanic-with-ai", "kernel_id": "33570871"}, {"ref": "arunkumarmurugesan/classifier-problem", "kernel_id": "33890078"}, {"ref": "azhanshakil/titanic-modeling-with-logistic-regression", "kernel_id": "33561762"}, {"ref": "lakithadinuwan/titanic-dataset-ann", "kernel_id": "33496070"}, {"ref": "sgslva/titanic-ml", "kernel_id": "33700447"}, {"ref": "harshchaudhari42/titanic-model", "kernel_id": "33292087"}, {"ref": "abdelrahmanaeissa/project", "kernel_id": "33746255"}, {"ref": "abdelrahmanaeissa/project2", "kernel_id": "33848345"}, {"ref": "samantalaraagapito/proyecto-final-samanta-lara", "kernel_id": "33062310"}, {"ref": "alvaradoglza/competition-titanicml-1", "kernel_id": "33472697"}, {"ref": "abigaelcastro/notebook57e7785789", "kernel_id": "33133186"}, {"ref": "hamzaelmouddane/titanic-machine-learning-pro", "kernel_id": "33908618"}, {"ref": "kevseraksu/titanic-decisiontree", "kernel_id": "33568193"}, {"ref": "kevseraksu/neuralnetworktitanic", "kernel_id": "33569107"}, {"ref": "yusufalimohammed/notebook7c29e6f598", "kernel_id": "33671520"}, {"ref": "huseyinaktas/kararagaclari", "kernel_id": "33497908"}, {"ref": "kaderbac/notebook4b22bb7fe5", "kernel_id": "33498267"}, {"ref": "minasamy000/titanic-disaster-project", "kernel_id": "33767115"}, {"ref": "arezaei81/titanic", "kernel_id": "33833100"}, {"ref": "anayanzimartnez/about-the-titanic-who-survived", "kernel_id": "33102588"}, {"ref": "araerikag/sobreviviendo-al-titanic", "kernel_id": "33106615"}, {"ref": "sundarikonar/titanic-knn-logr-gnb-svc", "kernel_id": "33534799"}, {"ref": "sundarikonar/titanic-knn-model", "kernel_id": "33343279"}, {"ref": "serh9takbas/decisiontreegraph", "kernel_id": "33499740"}, {"ref": "serh9takbas/titanic", "kernel_id": "33856735"}, {"ref": "chunyulab/ml-final", "kernel_id": "33875941"}, {"ref": "antonkon/notebookfd60835957", "kernel_id": "33616484"}, {"ref": "sunnyfall/titanic", "kernel_id": "33328343"}, {"ref": "uyzz9755/r-titanic-competition", "kernel_id": "33415630"}, {"ref": "aryaadithyan/titanic-eda", "kernel_id": "33088120"}, {"ref": "ylenialongo/getting-started-with-titanic", "kernel_id": "33640483"}, {"ref": "eduardogomezlopez/notebook609b52ce2b", "kernel_id": "33130560"}, {"ref": "alperilgar/kararagacigrafigi", "kernel_id": "33675817"}, {"ref": "alperilgar/hwperceptron", "kernel_id": "33856549"}, {"ref": "yashsdholam/titanic-eda-prediction", "kernel_id": "33808084"}, {"ref": "sharvalishinde/titanic-random-forest-cross-val-acc-0-83", "kernel_id": "33684049"}, {"ref": "aymanebensalah/titanic-machine-learning-from-disaster-80", "kernel_id": "33745778"}, {"ref": "leo60808/version1-byb0191542", "kernel_id": "33801100"}, {"ref": "mainguynstat/titanic-incidents-machine-learning-from-disaster", "kernel_id": "33066791"}, {"ref": "carolinnavictrio/exercise-arithmetic-and-variables", "kernel_id": "33210888"}, {"ref": "asel98/titanic-survive", "kernel_id": "33634933"}, {"ref": "vandhithapushpala/logistic-for-water", "kernel_id": "33981589"}, {"ref": "eliww220/eli-titanic-2", "kernel_id": "33985743"}, {"ref": "joshslater/who-will-die", "kernel_id": "33985201"}, {"ref": "kimjichul/notebookc12b0bd05a", "kernel_id": "33245386"}, {"ref": "sober9012/notebookc5796d105f", "kernel_id": "33652221"}, {"ref": "amrmohamed319/titanic-solution-using-random-forest", "kernel_id": "33414091"}, {"ref": "arieswang98/titanic-ml-02", "kernel_id": "33051252"}, {"ref": "barbarakoop/titanic-code-1", "kernel_id": "33823778"}, {"ref": "nathanstarchild/titanic", "kernel_id": "33985204"}, {"ref": "yaelm13/titanic-stuff", "kernel_id": "33985203"}, {"ref": "zainabsultana/titanic-ds", "kernel_id": "33975340"}, {"ref": "ambujasenapati/titanic1", "kernel_id": "33843039"}, {"ref": "katikulikova/titanic-survival-prediction-1", "kernel_id": "33674695"}, {"ref": "tanvvi/titanic-solution-using-random-forest-tool-179ad4", "kernel_id": "33393239"}, {"ref": "ankit1711/titanic-data-science-challenge", "kernel_id": "33838808"}, {"ref": "ankit1711/titanic-data-s-ml", "kernel_id": "33016273"}, {"ref": "kukgahee/machine-learning-hw3", "kernel_id": "33093785"}, {"ref": "eamorozova/titanic-new", "kernel_id": "33232387"}, {"ref": "guptaabhishek/titanicpredictions1", "kernel_id": "33147363"}, {"ref": "mitchellsetsma/titanic-w-sklearn", "kernel_id": "33593932"}, {"ref": "shahidthedeveloper/my-first-ml-model", "kernel_id": "33001641"}, {"ref": "eishkaran/titanic-prediction", "kernel_id": "33664419"}, {"ref": "kwonkihhon/tatanic-randomforestclassifier-scaled", "kernel_id": "33511893"}, {"ref": "arthurkopytin/ml-hw1-arturkopytin-320878663", "kernel_id": "33088341"}, {"ref": "venkatasaigudisa/6-step-titanic", "kernel_id": "33615996"}, {"ref": "saruulbuyntumenulzii/titanic-data-analysis-team-work", "kernel_id": "33609537"}, {"ref": "amalab182/titanic-data-analysis", "kernel_id": "33263241"}, {"ref": "aantao/pyspark-svm", "kernel_id": "33236469"}, {"ref": "neuralroot/my-first-ml-model-titanic-ml-from-disaster", "kernel_id": "33065021"}, {"ref": "shrikrishnaparab/getting-started-with-titanic", "kernel_id": "33017754"}, {"ref": "cperg4/cper-g4", "kernel_id": "33470356"}, {"ref": "divyarkadas/titanic-survival-prediction", "kernel_id": "33142813"}, {"ref": "chavibatra/titanic-solution-using-random-forest-tool-562315", "kernel_id": "33393450"}, {"ref": "amrshallal/project", "kernel_id": "33885536"}, {"ref": "jurmircanal/titanic-jc-own", "kernel_id": "33040234"}, {"ref": "nickyhsu/titanic-v3", "kernel_id": "33010673"}, {"ref": "ahmedsalem128/notebook716747ad78", "kernel_id": "33008164"}, {"ref": "yukiharada1228/randomforest", "kernel_id": "33861792"}, {"ref": "investor55/titanic-prediction-lightgbm", "kernel_id": "33548026"}, {"ref": "matanelad/titanic-survival", "kernel_id": "33030046"}, {"ref": "sagarlokesh/titanic-model-accuracy-82", "kernel_id": "33089786"}, {"ref": "ahmetyalcinn/titanic-eda-for-competition", "kernel_id": "33177726"}, {"ref": "shraddharamteke1/titanic-randomforestclassifier", "kernel_id": "33775702"}, {"ref": "alessiofranchi/feature-interactions-acc-78-706", "kernel_id": "33293995"}, {"ref": "agrawalnandini/titanic-solution-using-random-forest-tool-2a302d", "kernel_id": "33393223"}, {"ref": "hgjlan/titanic-train", "kernel_id": "33729857"}, {"ref": "alejosalazar/proyecto-ds101-26678712", "kernel_id": "33094497"}, {"ref": "sachinpokharel95/eda-titanic-dataset", "kernel_id": "33290051"}, {"ref": "dragonking27272/univariate-data-analysis", "kernel_id": "33579657"}, {"ref": "nadav86/nadav-oren-titanic-disaster-ml", "kernel_id": "33176968"}, {"ref": "diegosanchezp/getting-started-with-titanic-diego-sanchez", "kernel_id": "33093101"}, {"ref": "colmfahey/titanic-logistical-regression-survival-vs-age", "kernel_id": "33462549"}, {"ref": "georgevelkov/logistic-regression-titanic", "kernel_id": "33273314"}, {"ref": "jeandedi/titanic", "kernel_id": "33123030"}, {"ref": "tristanjorge97/titanic-survivor-classification", "kernel_id": "33630163"}, {"ref": "amirulmahmud/titanic-predictions-with-gradient-boosting", "kernel_id": "33171059"}, {"ref": "urielmalka/uriel-malka-titanic-0-78", "kernel_id": "33130697"}, {"ref": "preedame/exercise-arithmetic-and-variables", "kernel_id": "33142075"}, {"ref": "karthikk1402/karthikd59a06b799", "kernel_id": "33189198"}, {"ref": "chayaneetan/exercise-arithmetic-and-variables", "kernel_id": "33152085"}, {"ref": "faeghehghofrani/lr-model-with-feature-engineering", "kernel_id": "33159257"}, {"ref": "faeghehghofrani/linear-regression-with-few-features", "kernel_id": "33157392"}, {"ref": "liran1/assignment-1", "kernel_id": "33176911"}, {"ref": "rabihalahmadieh/relation-between-age-and-categorical-variable", "kernel_id": "33781702"}, {"ref": "nathancannon/nathan-cannon-kaggle-titanic", "kernel_id": "33209697"}, {"ref": "adamkraft22/cpsc-6700-p3", "kernel_id": "33215345"}, {"ref": "luisfer7062/proyecto-final", "kernel_id": "33222451"}, {"ref": "grishw/trybytree", "kernel_id": "33344655"}, {"ref": "a66338855/hw3titanic", "kernel_id": "33229188"}, {"ref": "ebenyoung/ml-test-eben-young", "kernel_id": "33234417"}, {"ref": "luchales/random-forest-score-77", "kernel_id": "33574513"}, {"ref": "x70fm7/titanic", "kernel_id": "33244341"}, {"ref": "dettaup/titanic-survival", "kernel_id": "33485416"}, {"ref": "begzodabdumutalliev/titanic-surviving-info", "kernel_id": "33665025"}, {"ref": "jiteshmd/exercise-arithmetic-and-variables", "kernel_id": "33285027"}, {"ref": "anniemy/tintanic-train-1", "kernel_id": "33486800"}, {"ref": "novoseloviliatomsk/notebook-titanik-keras", "kernel_id": "33634678"}, {"ref": "novoseloviliatomsk/notebookd704023e4a", "kernel_id": "33511345"}, {"ref": "moohamedelsayed/titanic-model", "kernel_id": "33501945"}, {"ref": "nataliapridachina/getting-started-with-titanic", "kernel_id": "33938409"}, {"ref": "rakshakmehra/titanic-solution-using-random-forest-tool-cdf922", "kernel_id": "33393164"}, {"ref": "saketmathur062022/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392593"}, {"ref": "harmanmaan/titanic-solution-using-random-forest-tool-cf3bac", "kernel_id": "33392372"}, {"ref": "anuragbhargava/titanic-solution-using-random-forest-tool-r", "kernel_id": "33511970"}, {"ref": "jyotikjoshi/titanic-solution-using-random-forest-tool-0a7396", "kernel_id": "33393431"}, {"ref": "saakshisinha/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392594"}, {"ref": "noone98/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392633"}, {"ref": "dinakarhegde/titanic-solution-using-random-forest-tool-3b4fce", "kernel_id": "33393400"}, {"ref": "kapilvaish/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392637"}, {"ref": "shibthom/titanic-solution-using-random-forest-tool-bd4240", "kernel_id": "33393327"}, {"ref": "shabeenashafiulla/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392595"}, {"ref": "priyankay16/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392598"}, {"ref": "rahulipba/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392606"}, {"ref": "drtimsykapoor/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392632"}, {"ref": "userakanksha/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392625"}, {"ref": "monkeydragon/titanic-model-accuracy-82", "kernel_id": "33491991"}, {"ref": "siddarthgana/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392687"}, {"ref": "tejashreegaikar/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392669"}, {"ref": "aditishah23/titanic-solution-using-random-forest-tool-3679dd", "kernel_id": "33393279"}, {"ref": "amrutapitale/titanic-solution-using-random-forest-tool-5c0455", "kernel_id": "33393256"}, {"ref": "surajrameshjadhav/titanic-solution-using-random-forest-tool-r", "kernel_id": "33393311"}, {"ref": "kanchanjana/titanic-solution-using-random-forest-tool-r", "kernel_id": "33393236"}, {"ref": "shubhamkhare03/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392607"}, {"ref": "hhimanshhu120856/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392634"}, {"ref": "merazahmed/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392705"}, {"ref": "riddhoghosh/titanic-solution-using-random-forest-tool-r", "kernel_id": "33392609"}, {"ref": "abdullahniaz/exercise-arithmetic-and-variables", "kernel_id": "33398513"}, {"ref": "yuyahirabayashi/titanic-y-hira", "kernel_id": "33426452"}, {"ref": "grimreaper694/titanic-death-predictor-100-accuracy", "kernel_id": "33497002"}, {"ref": "zbbblue/exam-old-1", "kernel_id": "33977350"}, {"ref": "yashvyaa/notebookff98c66d4e", "kernel_id": "33752089"}, {"ref": "monikkam/what-happened-at-titanic", "kernel_id": "33491174"}, {"ref": "ssrivastava19/titanic-solution-using-random-forest-tool-r", "kernel_id": "33546008"}, {"ref": "adi18o1/titanic-predictor", "kernel_id": "33681050"}, {"ref": "viswaprakash1990/exercise-arithmetic-and-variables", "kernel_id": "33551253"}, {"ref": "kralyang/notebookbafb4be54c", "kernel_id": "33579216"}, {"ref": "harishramamurthi/titanic", "kernel_id": "33819160"}, {"ref": "froshgaizer/titanic", "kernel_id": "33583347"}, {"ref": "hayouni/titanic-machine-learning-from-disaster", "kernel_id": "33727427"}, {"ref": "gokulprasantht/titanic", "kernel_id": "33655864"}, {"ref": "flelele/titanic-survivor-predictions", "kernel_id": "33637948"}, {"ref": "jtmyfd/titanic", "kernel_id": "33770190"}, {"ref": "rybasovandrey/notebook7037af0d4a", "kernel_id": "33642564"}, {"ref": "rybasovandrey/titanic-2022", "kernel_id": "33642573"}, {"ref": "nimitsharma12/titanic-dataset", "kernel_id": "33671640"}, {"ref": "jerlinjoseph/titanic-survival-prediction-randomforest", "kernel_id": "33851933"}, {"ref": "anjk2023/titanic-project-da-project-1", "kernel_id": "33694826"}, {"ref": "druso12/titanic-challenge-random-forest", "kernel_id": "33761481"}, {"ref": "druso12/titanic-challenge-random-forest-improved", "kernel_id": "33779044"}, {"ref": "ecampus/titanic-logistic-regression-99-accuracy", "kernel_id": "33700618"}, {"ref": "andrewgrasberger/simple-fastai-neural-net-for-titanic-data", "kernel_id": "33910683"}, {"ref": "vikas219/titanic", "kernel_id": "33741595"}, {"ref": "harinarayanan22/titanic", "kernel_id": "33713782"}, {"ref": "leuldereje/titanic-test-first-trial", "kernel_id": "33714282"}, {"ref": "muhannadashraf/titanic-modeling-cleaning-and-analyzing", "kernel_id": "33727471"}, {"ref": "obecv2/titanic-notebook", "kernel_id": "33747001"}, {"ref": "robertwalmsley/titanticdecisiontreesolution", "kernel_id": "33763451"}, {"ref": "robertwalmsley/titanicvotingclassifiersolution", "kernel_id": "33766114"}, {"ref": "robertwalmsley/titaniclogisticregressionsolution", "kernel_id": "33765934"}, {"ref": "sjh0410/exercise-arithmetic-and-variables", "kernel_id": "33982330"}, {"ref": "jaysharma1482/notebook4c6add1590", "kernel_id": "33966452"}, {"ref": "firdaousafilaltribak/firdaous-insafe", "kernel_id": "33975641"}, {"ref": "nutkanibloch/titanic-model", "kernel_id": "33870341"}, {"ref": "tomiock/titanic-svc", "kernel_id": "33852861"}, {"ref": "pritam4321/getting-started-with-disaster-management", "kernel_id": "33854194"}, {"ref": "flamefly/titanic", "kernel_id": "33857896"}, {"ref": "ksqrt9/teststockpriceanalysis", "kernel_id": "33863522"}, {"ref": "shweta922/titanic-gradient-boosting-classifier", "kernel_id": "33944369"}, {"ref": "genadijssilionovs/exercise-arithmetic-and-variables", "kernel_id": "33935724"}, {"ref": "ikeaguemmanuel/introduction-to-ensembling-stacking-in-python", "kernel_id": "33961972"}, {"ref": "pestan/titanic-v3", "kernel_id": "33926238"}, {"ref": "alexdavey/titanic-pytorch", "kernel_id": "34686841"}, {"ref": "aman196037/fastai-c1l5-neural-nets-from-scratch", "kernel_id": "34112246"}, {"ref": "scirpus/r-small", "kernel_id": "34172253"}, {"ref": "lperto/titanic-simple-steps", "kernel_id": "34297380"}, {"ref": "pradipta/pb-titanic", "kernel_id": "34825986"}, {"ref": "cdaviddav/titanic-preprocessing", "kernel_id": "34325322"}, {"ref": "rahulpatel7490/titanic-solution", "kernel_id": "34029348"}, {"ref": "hyesoorachel/data-science-with-titanic-dataset", "kernel_id": "34022427"}, {"ref": "ameerqureshi/titanic-machine-learning-from-disaster", "kernel_id": "34778110"}, {"ref": "maximos/titanic-3-models-features-preparation", "kernel_id": "34776359"}, {"ref": "luxcem/titanic-fastai-tabular", "kernel_id": "34907363"}, {"ref": "aks777sp/prediction-submission", "kernel_id": "34281952"}, {"ref": "arpit96/hierarchicalsumproductnetworks", "kernel_id": "34355904"}, {"ref": "gsigalaev/nn-titanic", "kernel_id": "34504400"}, {"ref": "stephen555/titanic-challenge", "kernel_id": "34893999"}, {"ref": "sushant097/casestudy-googleplaystoredataset", "kernel_id": "34910885"}, {"ref": "ruthpeter249/titanic-3", "kernel_id": "34439694"}, {"ref": "sishihara/polars-python-kaggle-start-book-ch02-05", "kernel_id": "34416024"}, {"ref": "at3191/titanic", "kernel_id": "34559492"}, {"ref": "leodaniel/sqlalchemy-quick-guide", "kernel_id": "34272433"}, {"ref": "leodaniel/sql-quick-guide", "kernel_id": "34070386"}, {"ref": "chiranjeevisrinivas/titanic-survival-prediction", "kernel_id": "34569376"}, {"ref": "adsamohtsiusej/notebookd4de0f83a7", "kernel_id": "34258409"}, {"ref": "alaahamdan83/titanic", "kernel_id": "34752968"}, {"ref": "iamvinitk/vinit-an-interactive-data-science-tutorial", "kernel_id": "34992106"}, {"ref": "aishakhatun/titanic-wicscon-participants", "kernel_id": "34244386"}, {"ref": "roxket/naive-bayes-0-75358", "kernel_id": "34883522"}, {"ref": "roxket/neural-networks-0-73205", "kernel_id": "34893450"}, {"ref": "roxket/k-nearest-neighbors-0-50478", "kernel_id": "34892312"}, {"ref": "roxket/convolutional-neural-networks-0-77751", "kernel_id": "34917260"}, {"ref": "roxket/simple-rnn-0-76555", "kernel_id": "34953527"}, {"ref": "roxket/advanced-random-forest-0-777", "kernel_id": "34846553"}, {"ref": "roxket/gradient-boosting-0-775", "kernel_id": "34850081"}, {"ref": "roxket/advanced-gradient-boosting-0-753", "kernel_id": "34850259"}, {"ref": "roxket/random-forest-0-763", "kernel_id": "34843580"}, {"ref": "roxket/support-vector-machine-svm-0-66267", "kernel_id": "34880153"}, {"ref": "roxket/decision-trees-0-73684", "kernel_id": "34822829"}, {"ref": "roxket/logistic-regression-0-75358", "kernel_id": "34821012"}, {"ref": "roxket/testing-28-models-83-accuracy", "kernel_id": "34816638"}, {"ref": "roxket/svc-0-77511", "kernel_id": "34817016"}, {"ref": "tianmin/4-steps-building-a-dumbbell-chart-with-plotly", "kernel_id": "34939359"}, {"ref": "trevorfrench/titanic-r-xgboost", "kernel_id": "34133099"}, {"ref": "milanbhadja/high-level-eda-basic-ml-models", "kernel_id": "34982509"}, {"ref": "tonyqinkaggle/pytorch-mlp-clf-torchviz-cv-0-84", "kernel_id": "34997075"}, {"ref": "tonyqinkaggle/pytorch-mlp-ann-clf-standardframe-cv-0-84", "kernel_id": "34962768"}, {"ref": "tonyqinkaggle/randomforest-clf-cv-0-823-lb-0-787", "kernel_id": "34686862"}, {"ref": "tonyqinkaggle/xgboost-clf-prac-cv-0-806-lb-0-751", "kernel_id": "34703603"}, {"ref": "tonyqinkaggle/decisiontree-clf-cv-0-878-lb-0-789", "kernel_id": "34603674"}, {"ref": "tonyqinkaggle/xgboost-clf-optuna-tuning-gpu-cv-0-83", "kernel_id": "34840551"}, {"ref": "tonyqinkaggle/lightgbm-clf-labelencoder-optuna-kfold-cv-0-82", "kernel_id": "34877272"}, {"ref": "tonyqinkaggle/xgboost-clf-standard-cv-0-83-lb-0-76", "kernel_id": "34752068"}, {"ref": "ivanvaccari/score-0-80-titanic-voting-approach", "kernel_id": "34464362"}, {"ref": "drswad/notebooke0f7a6e218", "kernel_id": "34588989"}, {"ref": "aielawady/base-submission", "kernel_id": "34740155"}, {"ref": "prem00/feature-select-based-on-correlation-mutual-info", "kernel_id": "34366725"}, {"ref": "anushagupta/logistic-regression-decision-tree-accuracy-70", "kernel_id": "34357373"}, {"ref": "samiiiii/titanic-iteem-2023", "kernel_id": "34234545"}, {"ref": "takara94/titanic-data-science-solutions-copied-for-tutorial", "kernel_id": "34458261"}, {"ref": "hocj2me/decision-tree", "kernel_id": "34621876"}, {"ref": "hocj2me/test-v1", "kernel_id": "34721602"}, {"ref": "derekxue/titanictutorial20230115", "kernel_id": "34156198"}, {"ref": "carlosgdcj/titanic-random-forest-77-272", "kernel_id": "34409216"}, {"ref": "taruchit/titanic-logisticregression-sex-and-pclass", "kernel_id": "34035053"}, {"ref": "racksonsit/prediction-1-titanic-disaster", "kernel_id": "34937946"}, {"ref": "sabbirshibli/titanic-competition-eda-classification", "kernel_id": "34470511"}, {"ref": "mariam111/titanic", "kernel_id": "34740876"}, {"ref": "cutefluffyfox/titanic-attempts", "kernel_id": "34885309"}, {"ref": "benjaminthuerer/titanic-knn-80", "kernel_id": "34023017"}, {"ref": "abdualimov/datret-simple-tensorflow", "kernel_id": "34374826"}, {"ref": "sandy19912020/titanic", "kernel_id": "34440239"}, {"ref": "khushboos/titanic", "kernel_id": "34262241"}, {"ref": "marcelledejager/good-old-titanic-pycaret-classification", "kernel_id": "34227931"}, {"ref": "mashithaa/titanic-beginner", "kernel_id": "34420203"}, {"ref": "erenakbulut/titanic-eda-pyspark-playground", "kernel_id": "34102160"}, {"ref": "erenakbulut/pycaret-easy-auto-prediction-low-code", "kernel_id": "34120465"}, {"ref": "josepharivera/titanic-data-science-solutions-1b5122", "kernel_id": "34700553"}, {"ref": "josepharivera/titanic-data-science-solutions", "kernel_id": "34446424"}, {"ref": "brijeshawasthi/titanic-data-visualization-xgboost-classificatio", "kernel_id": "34776772"}, {"ref": "lavagod/titanic-catboost-code-0-80143", "kernel_id": "34277325"}, {"ref": "bishalsarker/titanic-abs", "kernel_id": "34841056"}, {"ref": "venkat1002/titanic-survival-prediction", "kernel_id": "34620323"}, {"ref": "altafk/titanic", "kernel_id": "34578951"}, {"ref": "azamatkibekbaev/titanic-ensemble-learning", "kernel_id": "34455490"}, {"ref": "aissaouihamda/titanic-a-fully-documented-pipeline", "kernel_id": "34593700"}, {"ref": "ibrahimkaratas/titanic-project-with-keras-and-deep-learning", "kernel_id": "34205163"}, {"ref": "mustang007/handle-missing-values", "kernel_id": "34693469"}, {"ref": "premeditator/titanic", "kernel_id": "34900579"}, {"ref": "ruchikajain/gettin-started", "kernel_id": "34034635"}, {"ref": "ruchikajain/the-actual-file", "kernel_id": "34121361"}, {"ref": "subandhu/titanickaggle", "kernel_id": "34068960"}, {"ref": "mdadnanali/021-titanic", "kernel_id": "34583109"}, {"ref": "mahmoudahmed6/titanic-full-eda", "kernel_id": "34435178"}, {"ref": "oswaldojr/titanic-prediction-using-gradient-boosting-model", "kernel_id": "34103565"}, {"ref": "softyudia/titanic-solution-using-random-forest-tool-r", "kernel_id": "34770454"}, {"ref": "klaidenx/titanic", "kernel_id": "34979876"}, {"ref": "antoinegruson/titanic-3d-modeling", "kernel_id": "34107335"}, {"ref": "artyomkolas/titanic-with-snaplib", "kernel_id": "34150012"}, {"ref": "tahmidmosaddeque/assignment1", "kernel_id": "34558277"}, {"ref": "es0421/titanic-walk-through-tutorial", "kernel_id": "34515705"}, {"ref": "perfectnight123/titanic-cv-cm-roc", "kernel_id": "34344850"}, {"ref": "sayalibhosale/titanic-data-science-solutions", "kernel_id": "34701045"}, {"ref": "glauciapamponet/titanic-prediction", "kernel_id": "34417665"}, {"ref": "vishalsharma14/titanic-dataset-comprehensive-modeling-and-eda", "kernel_id": "34771679"}, {"ref": "ankit3bhagat/notebookb05c62f49c", "kernel_id": "34113116"}, {"ref": "luisdsuarez/titanic-first-approach", "kernel_id": "34305036"}, {"ref": "umangpanchal/titanic-solution-using-random-forest-tool-r", "kernel_id": "34453433"}, {"ref": "o07rohitjj/ihrd-titanic", "kernel_id": "34942960"}, {"ref": "hakuchi/titanic-tf", "kernel_id": "34443885"}, {"ref": "tienwolfy/titanic-202301", "kernel_id": "34117011"}, {"ref": "fahaddalwai/titanic-dataset-with-logistic-regression", "kernel_id": "34098179"}, {"ref": "fahaddalwai/titanic-dataset-with-random-forest", "kernel_id": "34438396"}, {"ref": "ryanbarretto/lesson-1-solution-notebook", "kernel_id": "34782867"}, {"ref": "fawwazmamin/notebook3389ba3830", "kernel_id": "34586558"}, {"ref": "aylore/base-submission", "kernel_id": "34740489"}, {"ref": "miguelcs91/titanic-eda-explained-to-your-grandma", "kernel_id": "34305464"}, {"ref": "sonsungjong/titanic-tutorial-for-beginners-2020", "kernel_id": "34025156"}, {"ref": "shuddhendumishra/titanic-data-science-solutions", "kernel_id": "34698924"}, {"ref": "pingsirivoravijit/titanic-5-mls", "kernel_id": "34129466"}, {"ref": "farihatanjimshifat/titanic-ai-lab-1", "kernel_id": "34443109"}, {"ref": "jaisondennis/ihrd-internship-task-1", "kernel_id": "34860230"}, {"ref": "fabihahaider/notebook76b4899951", "kernel_id": "34586614"}, {"ref": "tasnuvamahazabintuba/notebook-titanic", "kernel_id": "34577204"}, {"ref": "salmakishk/base-submission", "kernel_id": "34740844"}, {"ref": "mereenajoseph/decision-trees-random-forest", "kernel_id": "34779995"}, {"ref": "sameerjadhav6699/titanic-survival-prediction", "kernel_id": "34959535"}, {"ref": "drissielhoucine/notebookb-titanic", "kernel_id": "34944795"}, {"ref": "ajay101tiwari/titanic-competition", "kernel_id": "34328804"}, {"ref": "lbrarali/titanic-tutorial", "kernel_id": "34556006"}, {"ref": "lbrarali/titanic-machine-learing-from-disaster", "kernel_id": "34556399"}, {"ref": "muhammadumaranzar/titanic-machinelearningfromdisaster", "kernel_id": "34497936"}, {"ref": "mridulsyed/titanic-tutorial", "kernel_id": "34012988"}, {"ref": "reddysathwik/titanic-data-science-solutions", "kernel_id": "34699614"}, {"ref": "enjegodinez/my-first-ml-experience-the-titanic-dataset", "kernel_id": "34155174"}, {"ref": "shubhamkalme/titanic-try1", "kernel_id": "34262782"}, {"ref": "katuukchristian/titanic-data-science-programming-katuuk-christian", "kernel_id": "34197726"}, {"ref": "cristafaelzkandou/titaniccc", "kernel_id": "34258426"}, {"ref": "antrangagrawal/testing-encoding-techniques-on-titanic", "kernel_id": "34205580"}, {"ref": "ehtishamsadiq/titanic-survival-prediction", "kernel_id": "34179428"}, {"ref": "esraaokil/base-submission", "kernel_id": "34740725"}, {"ref": "rhythmcam/titanic-cb-randomizedsearchcv", "kernel_id": "34367384"}, {"ref": "jerilerikanter/titanic-dsp-cp-1", "kernel_id": "34197716"}, {"ref": "azwadhossainzarif/036-titanic", "kernel_id": "34584784"}, {"ref": "soondubu/titanic-basics", "kernel_id": "34359131"}, {"ref": "sathyanarayanp/notebookc517da81e7", "kernel_id": "34946306"}, {"ref": "akshaysom/getting-started-with-titanic", "kernel_id": "34750689"}, {"ref": "sihaamsheik/titanic-eda", "kernel_id": "34269602"}, {"ref": "cocoyachi/automl-autogluon-method-so-easy", "kernel_id": "34454990"}, {"ref": "muhammedmamdouhsalah/x-square-test-for-gender-and-survival-on-the-titan", "kernel_id": "34019094"}, {"ref": "ishikakumari0/titanic-survivor-prediction-v1", "kernel_id": "34240585"}, {"ref": "ceyhunsahin/titanic-ml-disaster-competition", "kernel_id": "34049910"}, {"ref": "yishay666/my-dummy-code", "kernel_id": "34138146"}, {"ref": "sriengchhunchheang/titanic-classification-with-ensemble-learning", "kernel_id": "34990990"}, {"ref": "liza4mathew/elizabeth-assignment1-ihrd", "kernel_id": "34861263"}, {"ref": "abhionair/titanic-submission-v2", "kernel_id": "34487447"}, {"ref": "yasserkhira/base-submission", "kernel_id": "34740700"}, {"ref": "ombharat/titanic-using-xgboost-and-random-forest", "kernel_id": "34809344"}, {"ref": "kosiglorian/titanic-machine-learning-from-disaster", "kernel_id": "34158068"}, {"ref": "diegolima2021/analysis-and-application-of-ml-algorithms", "kernel_id": "34208437"}, {"ref": "lucianawakabayashi/titanic-gradientboostingclassifier", "kernel_id": "34885849"}, {"ref": "radwaayman10/final-project-ml01", "kernel_id": "34740901"}, {"ref": "nhnnguynngc/titanic-machine-learning", "kernel_id": "34742115"}, {"ref": "moenirmassood/titanic-eda", "kernel_id": "34775259"}, {"ref": "samsui/ensemble-modeling-for-titanic-survivors", "kernel_id": "34839662"}, {"ref": "prashilthool/titanic-randomforest", "kernel_id": "34528436"}, {"ref": "yusefsavid/titanic-1", "kernel_id": "34290140"}, {"ref": "fauzanmohammed/titanic-analysis", "kernel_id": "34243263"}, {"ref": "quockiennguyen/titanic-prediction-python-qn", "kernel_id": "34784198"}, {"ref": "quockiennguyen/titanic-disaster-prediction-qn", "kernel_id": "34283109"}, {"ref": "davidevaracalli/titanic-proj", "kernel_id": "34410147"}, {"ref": "israamuhammad/base-submission", "kernel_id": "34949581"}, {"ref": "ryanjackson13/titanic-prediction", "kernel_id": "34335938"}, {"ref": "krishpriya743/titanic-disaster", "kernel_id": "34285599"}, {"ref": "abdallahgaballah/titanic-competitions", "kernel_id": "34081618"}, {"ref": "dwijbavisi/titanic-machine-learning-from-disaster", "kernel_id": "34884574"}, {"ref": "decisivegaurav/titanic-dataset-prediction-by-gaurav-top-8", "kernel_id": "34011575"}, {"ref": "roshroygeorge/titanicclassification-dd2b96", "kernel_id": "34948791"}, {"ref": "srijansrivastava01/basic-xgb-walkthrough", "kernel_id": "34485077"}, {"ref": "ankitladva/applying-random-forest", "kernel_id": "34303195"}, {"ref": "tanishasaggar765/titanic-machine-learning-from-disaster", "kernel_id": "34456065"}, {"ref": "jinishtrivedi/titanic", "kernel_id": "34252403"}, {"ref": "jurjanbootsma/titanic-accuracy-beyond-80", "kernel_id": "34371050"}, {"ref": "farhanmahmud/titanic-problem-farhan-mahmud", "kernel_id": "34519178"}, {"ref": "rutujab99/reference-for-ml-pipeline", "kernel_id": "34141341"}, {"ref": "citipop/titanic-simple-xgb", "kernel_id": "34881027"}, {"ref": "varaungandhi/titanic-competition", "kernel_id": "34361751"}, {"ref": "kbkarthi/titanic-survivor-prediction", "kernel_id": "34722342"}, {"ref": "adilbekk/titanic-dataset-svm", "kernel_id": "34016933"}, {"ref": "christianharries/kaggle-titanic-submission", "kernel_id": "34403653"}, {"ref": "mohammedtati/titanic-competition-tati", "kernel_id": "34002687"}, {"ref": "axeldonielsongaing/predict-titanic-disaster-passanger-using-svm", "kernel_id": "34926123"}, {"ref": "jinaneboufaris/notebook-titanic", "kernel_id": "34368500"}, {"ref": "melopomelo/titanic-volkov-dv", "kernel_id": "34277356"}, {"ref": "muhammetcosar/titanic-exploratory-data-analysis", "kernel_id": "34548087"}, {"ref": "aymenkhouja/titanic-competition-submission", "kernel_id": "34128914"}, {"ref": "saladineahmatbarkai/notebook84448361d9", "kernel_id": "34331234"}, {"ref": "shaheerhussain/titanic-machine-learning-from-disaster", "kernel_id": "34062203"}, {"ref": "supmathews/titanic-prediction", "kernel_id": "34410952"}, {"ref": "aidandang/titanic", "kernel_id": "34311410"}, {"ref": "abiadaikalam/titanic-survival", "kernel_id": "34089872"}, {"ref": "mohankjha/titanic-machine-learning-from-disaster", "kernel_id": "34151117"}, {"ref": "minsungkimsk/titanic-survived", "kernel_id": "34786975"}, {"ref": "vibhudixit/notebookbb6560d09e", "kernel_id": "34622725"}, {"ref": "amritanshusharma23/notebookfa5755607a", "kernel_id": "34914186"}, {"ref": "daichiishikawa/exercise-arithmetic-and-variables", "kernel_id": "34527329"}, {"ref": "williamrenaldy/titanic-prediction", "kernel_id": "34342438"}, {"ref": "qaiserrizvi/titanic-xgboost", "kernel_id": "34765207"}, {"ref": "haroonzafar2/titanic-dataset-competition", "kernel_id": "34022013"}, {"ref": "jjndambuki/titanic-dataset-analysis", "kernel_id": "34002154"}, {"ref": "abdulmohaimenalradi/notebook63f87e2167", "kernel_id": "34555085"}, {"ref": "riyaelizashaju/titanic-decision-tree-and-logistic-reg", "kernel_id": "34930634"}, {"ref": "ulrikthygepedersen/explorative-data-analysis-hiplot-visualization", "kernel_id": "34010828"}, {"ref": "assiathabet/titanic-beginers-friendly", "kernel_id": "34418452"}, {"ref": "abhi011097/learn-practice-pyspark-pandas-sql", "kernel_id": "34061188"}, {"ref": "rajashriseal/titanic-rajashri-seal", "kernel_id": "34951367"}, {"ref": "biocanter/titanic-top13-with-xgb", "kernel_id": "34797047"}, {"ref": "artificialstupiditea/titanicprediction-advancedtechniques", "kernel_id": "34685304"}, {"ref": "anyaborisyuk/titanic-trees-solution", "kernel_id": "34831901"}, {"ref": "tylergermain/titanic-gradient-boosting-classifier", "kernel_id": "34985861"}, {"ref": "jankondracki/titanic-prediction-graph-in-neo4j-0-755-score", "kernel_id": "34798758"}, {"ref": "giuseppeamendola/giuseppe-titanic", "kernel_id": "34265101"}, {"ref": "kunjgandhi/kunj-gandhi", "kernel_id": "34253437"}, {"ref": "room10884/new-titanic-201310404", "kernel_id": "34251955"}, {"ref": "room10884/titanic-08631d", "kernel_id": "34096848"}, {"ref": "sabaparveen/titanic-eda", "kernel_id": "34994647"}, {"ref": "shiraeharuto/titanic", "kernel_id": "34454476"}, {"ref": "shiraeharuto/titinic-dnn-classification", "kernel_id": "34580091"}, {"ref": "mazlumunay/titanic-eda-dt", "kernel_id": "34524377"}, {"ref": "balzsjakab/getting-stated-with-titanic", "kernel_id": "34573477"}, {"ref": "ankitenthusiast/notebook-ankit", "kernel_id": "34487322"}, {"ref": "akinlolujesulere/notebooke9486908d9", "kernel_id": "34387991"}, {"ref": "zacfraserbaxter/titanic-glm-random-forest-xgboost-submission", "kernel_id": "34817522"}, {"ref": "zahrasadatnoori/titanic-tmu-ml", "kernel_id": "34540223"}, {"ref": "nacholavaggi/titanic-prediction", "kernel_id": "34811196"}, {"ref": "shrikanthv15/titanic-case-study-submission", "kernel_id": "34660872"}, {"ref": "sonisaumya/dl-p1", "kernel_id": "34482590"}, {"ref": "rainercristian/dsp-titanic", "kernel_id": "34258433"}, {"ref": "aluiziopires/titanic-ecm", "kernel_id": "34204395"}, {"ref": "nayplg/titanic-ml-decision-tree-w-scikit-learn", "kernel_id": "34612751"}, {"ref": "houlzl/titanic-competion", "kernel_id": "34572148"}, {"ref": "akhtarrazaaa/dnn-v1", "kernel_id": "34515128"}, {"ref": "kagleo123/titanic-eda-machine-deep-learning", "kernel_id": "34297429"}, {"ref": "primemrys/notebook8af77959c0", "kernel_id": "34355228"}, {"ref": "huzaifaazhar05/titanic-survivors-analysis", "kernel_id": "34768573"}, {"ref": "shashankprasad95/shashank-titanic", "kernel_id": "34074961"}, {"ref": "lizhecheng/titanic-01-classification", "kernel_id": "34507314"}, {"ref": "vmd281/titanic-data-science-solutions", "kernel_id": "34699235"}, {"ref": "dinesh008luck/notebook799b7218bc", "kernel_id": "34115230"}, {"ref": "nikhilpabbu/titanic-nk", "kernel_id": "34807521"}, {"ref": "harshitgawade/titanic-disaster-analysis", "kernel_id": "34860060"}, {"ref": "pablogwapo/titanic", "kernel_id": "34725512"}, {"ref": "mridulhaque/titaniclogisticregression", "kernel_id": "34392262"}, {"ref": "alfiyafakhrutdinova/gridsearchcv-93-54-score", "kernel_id": "34840389"}, {"ref": "alfiyafakhrutdinova/randomizedsearchcv", "kernel_id": "34768825"}, {"ref": "devanshshah11/devansh-nb1", "kernel_id": "34252923"}, {"ref": "asmaazizan/titanic-machine-learning-from-disaster", "kernel_id": "34520830"}, {"ref": "patriciaryserwelch/decision-trees-male-and-female", "kernel_id": "34808076"}, {"ref": "guilhermesantoro/titanic-logistic-regression", "kernel_id": "34578771"}, {"ref": "shubhamwani22/titanic-data", "kernel_id": "34269977"}, {"ref": "ahmettalhabektas/how-we-c-n-deal-w-th-mis-ing-data", "kernel_id": "34039351"}, {"ref": "osamaoun/titanic-machine-learning-from-disaster", "kernel_id": "34740488"}, {"ref": "benflores/titanic-ie5-flores", "kernel_id": "34558458"}, {"ref": "pongpolprommacharoen/first-competition", "kernel_id": "34123606"}, {"ref": "kuanovasagynysh/titanic-survivors-prediction-random-forest", "kernel_id": "34299159"}, {"ref": "helloimgenie/visual", "kernel_id": "34513202"}, {"ref": "omercohen1/titanic-neural-network-for-beginners", "kernel_id": "34274368"}, {"ref": "nhuerp00/titanic-3rd-attemptt", "kernel_id": "34709953"}, {"ref": "fatmahazza/the-first-project-in-python-titanic-ml", "kernel_id": "34522366"}, {"ref": "wuttipats/titanic-classifier-neural-network-with-grid-cv", "kernel_id": "34731584"}, {"ref": "deeppatel22/titanic", "kernel_id": "34286600"}, {"ref": "aehabv/titanic-the-beginner-s-guide-to-ds-finally", "kernel_id": "34550916"}, {"ref": "ulianakremleva/titanic", "kernel_id": "34656285"}, {"ref": "ulianakremleva/titanic-sex", "kernel_id": "34685433"}, {"ref": "ulianakremleva/titanic-tf-decision-forests", "kernel_id": "34935438"}, {"ref": "uday2112/titanic-log-reg", "kernel_id": "34488559"}, {"ref": "bhavithabairapureddy/titanic-dataset", "kernel_id": "34001377"}, {"ref": "indhuashini/titanic", "kernel_id": "34309585"}, {"ref": "dimitrijschulz/titanic-survival-prediction-score-0-78468", "kernel_id": "34268480"}, {"ref": "niranjanank/titanic-using-svm", "kernel_id": "34360128"}, {"ref": "kousiksasmal/titanic-all-together", "kernel_id": "34988065"}, {"ref": "janpowaga/titanic-introduction-to-machine-learning", "kernel_id": "34728652"}, {"ref": "gwthmv/titanic", "kernel_id": "34282435"}, {"ref": "nhttinnguynbch/logisticsregression-titanic", "kernel_id": "34377628"}, {"ref": "kirillka95/titanic-eda-models-test-ensemble", "kernel_id": "34377402"}, {"ref": "sreejithks02/titanicclassification", "kernel_id": "34903849"}, {"ref": "brunorateiro/titanic-eda-and-gbm-prediction", "kernel_id": "34370872"}, {"ref": "saber17/titanic-disaster", "kernel_id": "34581885"}, {"ref": "ivandepaulamiranda/survival-rate-in-titanic-using-logistic-regression", "kernel_id": "34140323"}, {"ref": "zainabidin/titanic-ml-predictions", "kernel_id": "34051087"}, {"ref": "saidislombek/titanic-machine-learning-from-disaster", "kernel_id": "34517054"}, {"ref": "soumendraprasad/titanic-case-study-one-ship-to-rule-sea", "kernel_id": "34296647"}, {"ref": "makitdev/titanic-beginners-fastai-neural-net", "kernel_id": "34939392"}, {"ref": "farazakhter/ml-code-for-determining-survivers-on-titanic", "kernel_id": "34584442"}, {"ref": "helenaangelo/tentativa-0432", "kernel_id": "34445317"}, {"ref": "fadhilmuh/solution-to-spaceship-titanic-with-eda", "kernel_id": "34909522"}, {"ref": "yasithapiyumal/titanic-survivor-prediction", "kernel_id": "34701312"}, {"ref": "jaumetarrscastell/my-first-ml-attempt", "kernel_id": "34180464"}, {"ref": "kawabunga/notebookc1a2fb6559", "kernel_id": "34693605"}, {"ref": "zizh3ngzhang/titanic-ml", "kernel_id": "34476719"}, {"ref": "saleeza/titanic-competition", "kernel_id": "34389734"}, {"ref": "dude07/notebookac97a70b27", "kernel_id": "34948630"}, {"ref": "ayoubhafidialaoui/titanic-eda", "kernel_id": "34984029"}, {"ref": "abdulrahmankhaled1/titanic-full-eda", "kernel_id": "34889234"}, {"ref": "mob2dr/titanic-87-8", "kernel_id": "34541179"}, {"ref": "mealficie/titanic-survival-prediction", "kernel_id": "34769149"}, {"ref": "iliamartyanov/titanic-eda-machine-deep-learning-f9d655", "kernel_id": "34765229"}, {"ref": "ziyasarcan/notebookf9542c8d9e", "kernel_id": "34306663"}, {"ref": "zhaoningericwang/titanic-data-science-solutions", "kernel_id": "34635755"}, {"ref": "songglodtan/predict-survival-on-the-titanic-python", "kernel_id": "34466313"}, {"ref": "anthonysanogo/titanic-full-eda-svm-score-0-77511", "kernel_id": "34919359"}, {"ref": "thisishusseinali/titanic-challenge-solution", "kernel_id": "34581278"}, {"ref": "nidhisrivastavkmit/binary-classification-titanic-dataset", "kernel_id": "34337575"}, {"ref": "dianzeliu/titanic-data-set-explore", "kernel_id": "34081122"}, {"ref": "matteosilla/titanic-eda", "kernel_id": "34713858"}, {"ref": "sagamondal/titanicmachinelearningfromdisaster", "kernel_id": "34601730"}, {"ref": "sameremadhrab/titanic-prediction", "kernel_id": "34500407"}, {"ref": "ramkan07/trying-nas", "kernel_id": "34358975"}, {"ref": "mayurdushetwar/titanic-xgboost-and-performance-metrics", "kernel_id": "34009731"}, {"ref": "boydoimmanuel/titanic-eda-correlation-modelling", "kernel_id": "34061101"}, {"ref": "antoniorichard/titanic-data-analysis-meachine-learning", "kernel_id": "34579845"}, {"ref": "ernestknurov/titanic-knn-numpy", "kernel_id": "34207000"}, {"ref": "nazimcherpanov/titanic-xgboost-catboost-lgb", "kernel_id": "34232359"}, {"ref": "dhiebtarak/titanic-competition", "kernel_id": "34812588"}, {"ref": "milanbhor/titanic-prediction-model", "kernel_id": "34001924"}, {"ref": "kirubananthsankar/titanic-1", "kernel_id": "34046390"}, {"ref": "bolajiwaheed/titanic-survival-deceased-prediction", "kernel_id": "34767285"}, {"ref": "gaayathrikr/titanic", "kernel_id": "34398176"}, {"ref": "harshit264/titanic-model-hype", "kernel_id": "34465079"}, {"ref": "yeerekarsneha/logistic-regression", "kernel_id": "34566947"}, {"ref": "sunny9999/titanic-data-science-solutions", "kernel_id": "34337930"}, {"ref": "matjcrudukprudil/fork-of-titanic-randomforrestclassfier", "kernel_id": "34904935"}, {"ref": "bhoomirasal/exercise-arithmetic-and-variables", "kernel_id": "34684432"}, {"ref": "shaumilsahariya/case-study-of-titanic", "kernel_id": "34555023"}, {"ref": "berkaylhan/titanic-survivel-prediction", "kernel_id": "34471644"}, {"ref": "eu1234/titanic-81-57-leaderboard-top-1-no-cheating", "kernel_id": "34046275"}, {"ref": "ugolinseys/rip-jack", "kernel_id": "34234544"}, {"ref": "sithuhtun/titanic-survival-prediction", "kernel_id": "34080550"}, {"ref": "umesalma/titanic-linear-model-and-neural-net", "kernel_id": "34266364"}, {"ref": "vode33/logistic-regression-titanic", "kernel_id": "34918705"}, {"ref": "yueliu9797/titanic-blending", "kernel_id": "34546021"}, {"ref": "badrkourdad/badr-kourdad", "kernel_id": "34093206"}, {"ref": "axelleterouin/prediction-titanic", "kernel_id": "34091388"}, {"ref": "mihasoarajoelisolo/titanic-exercice", "kernel_id": "34091421"}, {"ref": "manishkumar21324/titanic-data-analysis-machine-deep-learning", "kernel_id": "34872068"}, {"ref": "ezequielalvessoares/previs-o-de-sobreviv-ncia-da-tripula-o-do-titanic", "kernel_id": "34400972"}, {"ref": "leonorpriego/titanic-dataset", "kernel_id": "34500504"}, {"ref": "ashleyh13165/titanic-project101", "kernel_id": "34435425"}, {"ref": "kueendom/bigdata-titanic", "kernel_id": "34425691"}, {"ref": "jaredmaxilom/titanic-survival-prediction", "kernel_id": "34078935"}, {"ref": "fumieiyama/titanic-competition", "kernel_id": "34390782"}, {"ref": "pulakamsrilakshmi/test-titanic", "kernel_id": "34223497"}, {"ref": "sashabobrov/titanic", "kernel_id": "34266812"}, {"ref": "xeesoxee711/201310304-201310104-201310306", "kernel_id": "34514755"}, {"ref": "wilily/titanic", "kernel_id": "34072933"}, {"ref": "wilily/new-titanic", "kernel_id": "34203578"}, {"ref": "aashitagrawal/randonforestclassifier-first-notebook-titanic", "kernel_id": "34113769"}, {"ref": "allamamr/predict-survival-on-the-titanic", "kernel_id": "34206045"}, {"ref": "vahidsharifi76/titanic-with-removed-age", "kernel_id": "34754997"}, {"ref": "carolinnavictrio/python-titanic-a-ml-of-a-disaster", "kernel_id": "34840268"}, {"ref": "kosimon/start-230209-titanic", "kernel_id": "34903687"}, {"ref": "salmaeddaoudi/titanic-machine-learning", "kernel_id": "34275155"}, {"ref": "snehdevra/notebook2298c08f92", "kernel_id": "34393710"}, {"ref": "patelkhush28/titanic", "kernel_id": "34101359"}, {"ref": "mehmetdikme/titanic-disaster", "kernel_id": "34749788"}, {"ref": "osamaahmedcdsp/eda-titanic-project", "kernel_id": "34749743"}, {"ref": "sedatakan/titanic-ml", "kernel_id": "34997160"}, {"ref": "pragyawasan/titanic-pragya-wasan", "kernel_id": "34033644"}, {"ref": "kifahmryan/titanic-classification", "kernel_id": "34153168"}, {"ref": "devbrunoo/notebook201eaf874a", "kernel_id": "34668742"}, {"ref": "ayushashtikar/titanic", "kernel_id": "34824261"}, {"ref": "lincolnruwambara/titanic-prediction", "kernel_id": "34443119"}, {"ref": "vladyslavischenkoisr/hw-3-ml-vladyslav-ishchenko-342388485", "kernel_id": "34000348"}, {"ref": "enjoylife/split-kfold-stratifiedkfold-cross-val-score", "kernel_id": "34755701"}, {"ref": "enjoylife/hpo-gridsearch-random-hyper-bayesian-optuna", "kernel_id": "34758757"}, {"ref": "enjoylife/eda-fe-using-titanic-data", "kernel_id": "34797794"}, {"ref": "amaanmansuri/titanic-dataset-codes", "kernel_id": "34259410"}, {"ref": "akuratirupendra/survival-prediction", "kernel_id": "34608427"}, {"ref": "riksse/titanic-1-0", "kernel_id": "34539876"}, {"ref": "nivedchakkattil/notebook1130b3feda", "kernel_id": "34430441"}, {"ref": "mahide/le-titanic-challenge", "kernel_id": "34435717"}, {"ref": "kirtimathur/titanic-logistic-regression", "kernel_id": "34824328"}, {"ref": "chhamajain/titanic-data-machine-learning-model", "kernel_id": "34836715"}, {"ref": "albinobruno/titanic-ml", "kernel_id": "34472868"}, {"ref": "ashikkl/titanic-survival-predictor", "kernel_id": "34903648"}, {"ref": "hemarajuvaradi/titanic-survivor-prediction-with-machine-learning", "kernel_id": "34267645"}, {"ref": "nehalyede/titanic-survival-prediction", "kernel_id": "34979875"}, {"ref": "hemlatadixit/titanic-survival-prediction-and-key-insights", "kernel_id": "34837314"}, {"ref": "tushartomer/titanic-ship-eda-with-predction-model", "kernel_id": "34907235"}, {"ref": "felixsamuel/titanic-seven-model-prediction", "kernel_id": "34080803"}, {"ref": "hebasaleh00/titanic-machine-learning", "kernel_id": "34817734"}, {"ref": "liran1/assignment-3", "kernel_id": "34476080"}, {"ref": "satyadewangan05/titanic-prediction", "kernel_id": "34441254"}, {"ref": "fuzaimifauzi/bagging-and-boosting-titanic-passengers", "kernel_id": "34161277"}, {"ref": "mecsico92/titanic-machine-learning-from-disaster", "kernel_id": "34016842"}, {"ref": "panini92/titanic", "kernel_id": "34586801"}, {"ref": "moulayesididahi/eda-and-model-prediction-titanic-disaster", "kernel_id": "34741498"}, {"ref": "usmantipu/titanic-competition", "kernel_id": "34278691"}, {"ref": "mohit7824/titanic-with-naive-bayes-85", "kernel_id": "34078957"}, {"ref": "gsaikrishnareddy/titanic", "kernel_id": "34651036"}, {"ref": "tanishqbadliwal/titanic-solution-using-random-forest-tool-03e0e8", "kernel_id": "34401151"}, {"ref": "glunkad/titanic-using-framework", "kernel_id": "34788521"}, {"ref": "vikramr22/lb-rank-600-top-4", "kernel_id": "34454012"}, {"ref": "zbbblue/new-titanic", "kernel_id": "34111930"}, {"ref": "pawangoswami/project4", "kernel_id": "34350177"}, {"ref": "sailendradevanabanda/titanic-neural-network-practise", "kernel_id": "34025567"}, {"ref": "mzmdgaming/titanic-machine-learning-from-disaster-0-77", "kernel_id": "34877571"}, {"ref": "geoffbjones/titanic-with-data-enhancements-and-random-forest", "kernel_id": "34276160"}, {"ref": "marwaelsherif/titanic-notebook", "kernel_id": "34584357"}, {"ref": "artyomgolenishchev/getting-started-with-titanic", "kernel_id": "34744436"}, {"ref": "anisfadzial/ensemble-assignment", "kernel_id": "34355618"}, {"ref": "norzahirah/ensemble-assignment", "kernel_id": "34149964"}, {"ref": "bmmath/notebook60571983a4", "kernel_id": "34078304"}, {"ref": "adivireza/titanic-machine-learning-from-disaster", "kernel_id": "34525385"}, {"ref": "aymanemoumen/fork-of-titanic-project-example-kenjee", "kernel_id": "34052338"}, {"ref": "abderrahmanelafkih/getting-started-with-titanic", "kernel_id": "34633807"}, {"ref": "sujitbyadav/titanic-using-svm-model", "kernel_id": "34635438"}, {"ref": "samrulezzz/titanic-competition", "kernel_id": "34255153"}, {"ref": "shivanshugupta1907/shivanshu-xgboost", "kernel_id": "34064167"}, {"ref": "andreerichsen/titanic-survivors", "kernel_id": "34344226"}, {"ref": "mystifoe77/titanic-with-3-different-algorithms-90-accuracy", "kernel_id": "34987940"}, {"ref": "shireenk22/titanic-survived", "kernel_id": "34176015"}, {"ref": "yasmeenhiza/fork-of-base-submission-15a5c7", "kernel_id": "34948394"}, {"ref": "shubdeshmukh/notebook11", "kernel_id": "34295325"}, {"ref": "sourabh7iwari/eda-techniques-notebook", "kernel_id": "34734602"}, {"ref": "cjhnamespace/titanic-randomforest", "kernel_id": "34281951"}, {"ref": "phillip0819/kaggle-titanic-23-2-5-begin", "kernel_id": "34757873"}, {"ref": "eldarazamatov/titanic-predictions", "kernel_id": "34132653"}, {"ref": "christopheradamo/titanic-mice-and-gridsearch-tuning", "kernel_id": "34623886"}, {"ref": "tejaswiniumasudhir/titanic-teju", "kernel_id": "34066649"}, {"ref": "lisaisawesome/titanic-logreg", "kernel_id": "34420245"}, {"ref": "mistydragon/titanic-dataset", "kernel_id": "34451303"}, {"ref": "ralphsweeney/titanic-first-comp", "kernel_id": "34587585"}, {"ref": "straightshooter21/exercise-arithmetic-and-variables", "kernel_id": "34063420"}, {"ref": "gitanshgarg/titanic", "kernel_id": "34682689"}, {"ref": "yentingwang108605504/titanic-final", "kernel_id": "34068995"}, {"ref": "yentingwang108605504/titanic-sample", "kernel_id": "34002817"}, {"ref": "sourove/055-titanic", "kernel_id": "34407947"}, {"ref": "rohank05/titanic-using-xgboost", "kernel_id": "34192484"}, {"ref": "mustafaalkaan/titanic-eda", "kernel_id": "34502668"}, {"ref": "georgescutelnicu/titanic-randomforest", "kernel_id": "34241705"}, {"ref": "nikhilreddypolepally/titanic-unsupervised-learning", "kernel_id": "34603810"}, {"ref": "unmoved/regress-used-phone-prices", "kernel_id": "34393001"}, {"ref": "ahmettalhabektastr/veri-nas-l-filitrelenir", "kernel_id": "34263661"}, {"ref": "ahmettalhabektastr/yeni-arkada-m-z-eda", "kernel_id": "34209909"}, {"ref": "ahmettalhabektastr/veriye-nas-l-makyaj-yap-l-r-part-1", "kernel_id": "34368975"}, {"ref": "ahmettalhabektastr/veriye-nas-l-makyaj-yap-l-r-part-2", "kernel_id": "34436374"}, {"ref": "alirezany/titanic-survival-prediction", "kernel_id": "34602819"}, {"ref": "adambrink/third-attempt-for-titanic", "kernel_id": "34156548"}, {"ref": "frankngor/titanic-classification", "kernel_id": "34140795"}, {"ref": "arunimamitra17/rf-for-titanic", "kernel_id": "34163852"}, {"ref": "aymaneaithaddouch/titanic-iteem", "kernel_id": "34234495"}, {"ref": "constantinvasseur/titanic-cv", "kernel_id": "34234487"}, {"ref": "martinbarran/exo-titanic", "kernel_id": "34371174"}, {"ref": "imanse/notebookbbfd45db26", "kernel_id": "34178316"}, {"ref": "mohmujeeb/titanic-decision-tree-acc-0-86", "kernel_id": "34831793"}, {"ref": "disha9112/titanic-predictions", "kernel_id": "34492521"}, {"ref": "valphc/titanic-tutorial", "kernel_id": "34410831"}, {"ref": "suzerbis/titanic-survival-prediction-pipeline", "kernel_id": "34498456"}, {"ref": "justinsiow/surviving-the-titanic", "kernel_id": "34525855"}, {"ref": "aishikapal/notebook37c8a347e3", "kernel_id": "34190999"}, {"ref": "harmlessman17/first-kaggle-competitions", "kernel_id": "34194331"}, {"ref": "geovannybolang/titanic-dsp", "kernel_id": "34258427"}, {"ref": "yugaoshima/titanic", "kernel_id": "34615459"}, {"ref": "sazzadurons/titanic-survivor", "kernel_id": "34210352"}, {"ref": "maximegay/iteem-titanic", "kernel_id": "34553154"}, {"ref": "sachinsrinivasa/titanic-with-neural-networks-tensorflow", "kernel_id": "34901134"}, {"ref": "sachinsrinivasa/titanic-with-different-classification-algorithms", "kernel_id": "34886185"}, {"ref": "defnebusecelik/titanic-eda-project", "kernel_id": "34276144"}, {"ref": "chamalisenanayake/notebook5098adcd1a", "kernel_id": "34269976"}, {"ref": "l77777/notebook28b2ee4b08", "kernel_id": "34288449"}, {"ref": "atirsakhrelia/logistic-regression", "kernel_id": "34335559"}, {"ref": "grigol1/titanic-40-models", "kernel_id": "34688844"}, {"ref": "grigol1/titanic-top-3-solution-in-30-lines", "kernel_id": "34791640"}, {"ref": "levontoh/titanic", "kernel_id": "34489006"}, {"ref": "dharanidharanjjjs/titanic", "kernel_id": "34397685"}, {"ref": "adithya02/titanic", "kernel_id": "34398838"}, {"ref": "kingfisher2012/titanic-comp", "kernel_id": "34323054"}, {"ref": "vessel1/titanic-learning-notebook", "kernel_id": "34393116"}, {"ref": "himynameisho/firstdraft", "kernel_id": "34572720"}, {"ref": "mpinmpin/titanic-semi-beginner", "kernel_id": "34340876"}, {"ref": "piotrgajewski99/titanic-with-pipelines-and-different-setups", "kernel_id": "34881969"}, {"ref": "meharnaths/task-1", "kernel_id": "34909150"}, {"ref": "raghavsahai/titanic-solution-using-random-forest-tool-r", "kernel_id": "34753127"}, {"ref": "sarthaknegi7/exercise-arithmetic-and-variables", "kernel_id": "34433790"}, {"ref": "ahmedali74/titanic-eda-prediction-with-acc-79", "kernel_id": "34658936"}, {"ref": "natalyyakobov/binary-classification-78-acc-titanic", "kernel_id": "34362226"}, {"ref": "rahul9431/notebook56d4b3493d", "kernel_id": "34802245"}, {"ref": "jackdmoore/titanic-tutorial", "kernel_id": "34383236"}, {"ref": "justinnk/titanic-decisiontree", "kernel_id": "34381428"}, {"ref": "mohamednoorani/final-code-titanic-jan-27", "kernel_id": "34509187"}, {"ref": "csvillela/titanicgbm", "kernel_id": "34663972"}, {"ref": "sylvan2501/notebook1c37216b42", "kernel_id": "34631994"}, {"ref": "leocosmosanj/titanic-unsupervised-learning", "kernel_id": "34628496"}, {"ref": "kimminky/titanic-ensemble-modeling", "kernel_id": "34445690"}, {"ref": "kimminky/eda-to-prediction-titianic", "kernel_id": "34423237"}, {"ref": "lodonn/lodonn-morpheus", "kernel_id": "34448360"}, {"ref": "murtazaaamir/titanic-prediction", "kernel_id": "34826977"}, {"ref": "finkrer/titanic", "kernel_id": "34440556"}, {"ref": "fujiisan/notebooka8426961f2", "kernel_id": "34370928"}, {"ref": "iamthewingman/ae-23-titanic", "kernel_id": "34555265"}, {"ref": "shamuelchowdhurysiam/titanic-ml", "kernel_id": "34589180"}, {"ref": "apostolidisapostolos/random-forest-in-titanic", "kernel_id": "34898919"}, {"ref": "adeeti21/exercise-arithmetic-and-variables", "kernel_id": "34579500"}, {"ref": "furduisorinoctavian/titanic-notebook-78-4", "kernel_id": "34554707"}, {"ref": "samuelhaydar/titanic", "kernel_id": "34498347"}, {"ref": "turnogen/007-titanic", "kernel_id": "34576404"}, {"ref": "tasbeet/exercise-arithmetic-and-variables", "kernel_id": "34542645"}, {"ref": "umargul602/exercise-arithmetic-and-variables", "kernel_id": "34496859"}, {"ref": "ratnakumarik/titanic", "kernel_id": "34887910"}, {"ref": "nguyenn95/titanic-machine-learning-from-disaster", "kernel_id": "34955681"}, {"ref": "kuzmieka/titanic-data-preprocessing-binary-classification", "kernel_id": "34779212"}, {"ref": "hirata07/titanic-tutorial", "kernel_id": "34512687"}, {"ref": "jeanpachecoperez/titanic-data-science-solutions", "kernel_id": "34668735"}, {"ref": "akheelmd4/titanic", "kernel_id": "34539571"}, {"ref": "pushpendrasingh777/notebook-titanic-rose-should-share-log-with-jack", "kernel_id": "34541092"}, {"ref": "sislamrafi/notebook266adc6e1f", "kernel_id": "34592462"}, {"ref": "anamborhanuddin/titanic-survival", "kernel_id": "34573688"}, {"ref": "rasmusisenbecker/titanic-portfolio-1b", "kernel_id": "34552934"}, {"ref": "rashant/titanic-87-8", "kernel_id": "34566338"}, {"ref": "jaianahnafrahim/titanic", "kernel_id": "34587541"}, {"ref": "nashminn/titanic", "kernel_id": "34580019"}, {"ref": "nayeemuzzaman/002-titanic", "kernel_id": "34587104"}, {"ref": "satheeshbhukya1/titanic-predictions", "kernel_id": "34586911"}, {"ref": "mahnazameer123/notebookab560c7db2", "kernel_id": "34589007"}, {"ref": "matthewsfarmer/titanic-survival-rf-model-0-73684", "kernel_id": "34653870"}, {"ref": "timothybaithicia/exercise-arithmetic-and-variables", "kernel_id": "34631365"}, {"ref": "stephstoll/titanic-machine-learning", "kernel_id": "34695184"}, {"ref": "kshamaaditi/titanic-87-8", "kernel_id": "34628535"}, {"ref": "shenhsunliao/titanic-ml", "kernel_id": "34652303"}, {"ref": "kamal778/titanic-survival-prediction-notebook", "kernel_id": "34731435"}, {"ref": "lukahaikin/getting-started-with-titanic", "kernel_id": "34687183"}, {"ref": "glzadeevni/machine-learning-with-titanic-data", "kernel_id": "34873048"}, {"ref": "silvergrahampeter/titanic-ml", "kernel_id": "34880756"}, {"ref": "amgadhasan/project-titanic-dataset-predicting-survival", "kernel_id": "34740936"}, {"ref": "rahulghosh03/titanic-solution-using-random-forest-tool-r", "kernel_id": "34751855"}, {"ref": "nimitjindal/titanicml-10-visually-predict-30-classifr-info", "kernel_id": "34938598"}, {"ref": "iannel/nel-homework", "kernel_id": "34816365"}, {"ref": "ananya922/titanic", "kernel_id": "34843565"}, {"ref": "blessybsherin/notebook2f219662dc", "kernel_id": "34881094"}, {"ref": "guillaumegirard78/titanic-data-vizualisation-plotly-express-graph", "kernel_id": "34867385"}, {"ref": "violetjiangxr/ise5606-lab2-jiangxinru", "kernel_id": "34868612"}, {"ref": "hobbyai/titanic-data-visualization-and-train-with-pytorch", "kernel_id": "34965319"}, {"ref": "p0pz3r0/p-z3r0-titanic-submission", "kernel_id": "34999627"}, {"ref": "ashitha3012/titanic", "kernel_id": "34961374"}, {"ref": "bhagyashree/notebook337f46f400", "kernel_id": "35542811"}, {"ref": "lperto/titanic-gau-data-science-iii", "kernel_id": "35338511"}, {"ref": "aaanjan/titanic-pycode", "kernel_id": "35207894"}, {"ref": "cnadam/mytitantic", "kernel_id": "35523328"}, {"ref": "reems1220/titanic", "kernel_id": "35417763"}, {"ref": "sounak1986/random-forest-algorithm-for-titanic-dataset", "kernel_id": "35708967"}, {"ref": "asadali047/using-tensorflow-0-77", "kernel_id": "35670404"}, {"ref": "debisree/titanic-nb", "kernel_id": "35216951"}, {"ref": "mrsalty/titanic-via-logistic-regression", "kernel_id": "35172644"}, {"ref": "mrsalty/titanic-via-ensemble-stacking", "kernel_id": "35133967"}, {"ref": "mrsalty/titanic-machine-learning-from-disaster-nn", "kernel_id": "35031706"}, {"ref": "xpehutta/titanic-0-93", "kernel_id": "35100002"}, {"ref": "dsramakant/decision-tree-with-tidymodels-v01", "kernel_id": "35389440"}, {"ref": "dsramakant/titanic-classification-by-decision-trees-python", "kernel_id": "35219319"}, {"ref": "eighteyes/titanic-data-analysis-and-ml-first-pass", "kernel_id": "35524110"}, {"ref": "bbondy/titanic2", "kernel_id": "35624844"}, {"ref": "choigawoon/quiz-chapter-10-12", "kernel_id": "35862463"}, {"ref": "choigawoon/answer-of-quiz-chapter-10-12", "kernel_id": "35866273"}, {"ref": "selcukcan/da-14-python-for-data-14-data-exp-cleaning", "kernel_id": "35787103"}, {"ref": "sushant097/detailed-eda-ml-model-survival-prediction", "kernel_id": "35024024"}, {"ref": "sakuno/model-selection-using-optuna", "kernel_id": "35813959"}, {"ref": "stephansahm/titanic-tutorial-julia-version", "kernel_id": "35603185"}, {"ref": "anunnikrishnan/titanic-data-prediction-class-13", "kernel_id": "35666710"}, {"ref": "vbmokin/titanic-chatgpt-baseline-with-nn", "kernel_id": "35231488"}, {"ref": "siddharthkumarsah/titanic-solution", "kernel_id": "35796130"}, {"ref": "kimtaehun/titanic-complete-template-for-classification", "kernel_id": "35599717"}, {"ref": "gauravkoradiya/an-interactive-data-science-tutorial", "kernel_id": "35080639"}, {"ref": "avigoen/titanic-survival-prediction", "kernel_id": "35376106"}, {"ref": "suyashkhare/notebook80137675e1", "kernel_id": "35678253"}, {"ref": "ved1104/titanic-dataset-classification-using-ann", "kernel_id": "35252724"}, {"ref": "roxket/lightgbm-0-7799", "kernel_id": "35099430"}, {"ref": "roxket/catboost-0-74162", "kernel_id": "35101026"}, {"ref": "roxket/xgboost-0-76794", "kernel_id": "35100594"}, {"ref": "roxket/lstm-0-7799", "kernel_id": "35028971"}, {"ref": "roxket/gru-0-75119", "kernel_id": "35039997"}, {"ref": "roxket/fttransformer-0-77272", "kernel_id": "35061482"}, {"ref": "rsadaphule/notebook225be6b43d", "kernel_id": "35249172"}, {"ref": "jinneee1004/titanic-jj", "kernel_id": "35364311"}, {"ref": "tonyqinkaggle/ensemble-lightgbm-xgboost-catboost-cv-0-899", "kernel_id": "35140506"}, {"ref": "tonyqinkaggle/catboost-optuna-kfold-shap-cv-0-83", "kernel_id": "35058590"}, {"ref": "cryosky/understand-kaggle-notebook-submission-from-titanic", "kernel_id": "35015998"}, {"ref": "validmodel/python-randomforest-from-scratch", "kernel_id": "35849588"}, {"ref": "guarzog/titanic", "kernel_id": "35684583"}, {"ref": "mittalapoorv/titanic-competition-entry-apoorv", "kernel_id": "35988368"}, {"ref": "kumarsakshat22/logistic-reg-titanic", "kernel_id": "35941184"}, {"ref": "roushanmehmood/titanic-predictions", "kernel_id": "35364906"}, {"ref": "sreesai1412/introductory-kaggle-session-web-club-test-run", "kernel_id": "35316937"}, {"ref": "lflovelxx/titanic-kfold", "kernel_id": "35539497"}, {"ref": "sabab123/starting-with-titanic", "kernel_id": "35337845"}, {"ref": "tkoyama010/kaggle-1st-step-for-kaggle-titanic", "kernel_id": "35367261"}, {"ref": "masatakasuzuki/titanic-your-first-notebook-for-tabular-data", "kernel_id": "35835301"}, {"ref": "masatakasuzuki/5-hyperparameter-tuning-applying-8-models", "kernel_id": "35983202"}, {"ref": "simonftwi/titanic-survived-prediction-model", "kernel_id": "35280103"}, {"ref": "soofgolan/titanic-tutorial-ns", "kernel_id": "35336589"}, {"ref": "dongkeunbak/pyspark-titanic-eda-ml", "kernel_id": "35636229"}, {"ref": "dougmcglathery/thoughts-about-titanic-notebooks", "kernel_id": "35630987"}, {"ref": "mtulgac/pycaret-with-manual-preprocessing", "kernel_id": "35075221"}, {"ref": "christianwittmann/titanic-eda-and-1r-with-chatgpt", "kernel_id": "35670249"}, {"ref": "christianwittmann/titanic-feature-engineering-fast-ai-model-creation", "kernel_id": "35673591"}, {"ref": "vidhisrivastava/titanic-survival-eda-ml-models", "kernel_id": "35635308"}, {"ref": "amirbaniasadi/titanic-randomizedsearchcv", "kernel_id": "35504848"}, {"ref": "anushkassharma/all-algo-and-eda", "kernel_id": "35293996"}, {"ref": "jonasaacampos/o-desastre-do-titanic-dados-dsppn", "kernel_id": "35815034"}, {"ref": "joserosales/jose-s-getting-started-with-titanic", "kernel_id": "35583930"}, {"ref": "oktaviacitra/decision-tree-classifier-categorical-features", "kernel_id": "35527245"}, {"ref": "chandlerliu/titantic-practices", "kernel_id": "35420245"}, {"ref": "pchal2020/getting-started-with-titanic", "kernel_id": "35447670"}, {"ref": "ramsesmdlc/titanic-linear-regression-model", "kernel_id": "35155734"}, {"ref": "eduardoolivasandoval/introducci-n-a-los-modelos-de-clasificaci-n-en-ml", "kernel_id": "35379029"}, {"ref": "nyagami/titanic-survival-classification", "kernel_id": "35764033"}, {"ref": "ainca03521133/titanic-predition", "kernel_id": "35757652"}, {"ref": "shaunmatthews/us-kaggle-day-2023", "kernel_id": "35658664"}, {"ref": "bighero6/titanic-eda", "kernel_id": "35002890"}, {"ref": "prasadckulkarni/clean-notebook-linear-model-and-neural-net-pk", "kernel_id": "35517172"}, {"ref": "jatinkishore/decision-trees-optimized", "kernel_id": "35811340"}, {"ref": "husainraza/titanic-competition-solution", "kernel_id": "35110227"}, {"ref": "jillelavenkatareddy/titanic-dataset-code", "kernel_id": "35642454"}, {"ref": "shadowdk/titanic-eda-random-forest-classifier", "kernel_id": "35943380"}, {"ref": "abhinavatall/titanic-dataset-top-3-accuracy-with-ensambling", "kernel_id": "35706996"}, {"ref": "abhinavatall/titanic-top-10-scoring-with-simple-methods", "kernel_id": "35567435"}, {"ref": "pangdar/01-01", "kernel_id": "35355539"}, {"ref": "pangdar/02-01", "kernel_id": "35390770"}, {"ref": "pangdar/titanic-top-4-with-ensemble-modeling", "kernel_id": "35664600"}, {"ref": "vidhyambikasr/classification-using-ml-algorithms-1", "kernel_id": "35562661"}, {"ref": "vidhyambikasr/classification-using-logistic-regression", "kernel_id": "35586476"}, {"ref": "lucialagenial/titanic-survival-prediction", "kernel_id": "35991883"}, {"ref": "rekhasuthar/titanic-random-forest-model", "kernel_id": "35642432"}, {"ref": "pratyushnishchal/machine-learning-titanic", "kernel_id": "35944944"}, {"ref": "adizz2407/an-interactive-data-science-tutorial-bee4cf", "kernel_id": "35013983"}, {"ref": "derismannugraha/titanic-case-analysis-machine-learning", "kernel_id": "35090256"}, {"ref": "cyrillescolano/titanic-disaster-survival-prediction", "kernel_id": "35214249"}, {"ref": "nobodysboredom/olomo-s-titanic-data-analysis-feature-engineering", "kernel_id": "35222187"}, {"ref": "hsin1022/titanic-competition-randomforest", "kernel_id": "35643452"}, {"ref": "anamariamidoripreda/tutorial-for-classification", "kernel_id": "35143558"}, {"ref": "datlasnehithvarma/snehith", "kernel_id": "35717140"}, {"ref": "justinianus/titanic-machine-learning-from-disaster", "kernel_id": "35277420"}, {"ref": "anas123siddiqui/titanic-competition-submission", "kernel_id": "35099159"}, {"ref": "anas123siddiqui/eda-and-conclusion", "kernel_id": "35817792"}, {"ref": "muhammadhassaan786/data-analysis", "kernel_id": "35761237"}, {"ref": "suriyaprakashm/learn-ml", "kernel_id": "35038909"}, {"ref": "timothemazard/titanic-survivors", "kernel_id": "35179906"}, {"ref": "mikhaylovalexander/titanic-with-logistic-regression", "kernel_id": "35424678"}, {"ref": "aylore/titanic-2", "kernel_id": "35685952"}, {"ref": "ivanevtushenko/nusvc-xgboost-random-forest-0-77", "kernel_id": "35042541"}, {"ref": "pohzixiang/zxmlprocessor", "kernel_id": "35224708"}, {"ref": "olemagnushiback/simple-eda-and-machine-learning-principles", "kernel_id": "35369324"}, {"ref": "eslamfouad/abc-ml", "kernel_id": "35982505"}, {"ref": "xizaokaiz/titanic-logistic-regression", "kernel_id": "35394243"}, {"ref": "uchennaorjiokoro/titanic-eda", "kernel_id": "35136909"}, {"ref": "osaad97/titanic-eda-ml-using-xgboost-random-forest", "kernel_id": "35726140"}, {"ref": "osaad97/chat-gpt-wrote-this-code", "kernel_id": "35899443"}, {"ref": "benjaminsutter/titanic-no-cheating", "kernel_id": "35186312"}, {"ref": "marckherzonbarrion/ece668m-homework-4-barrion", "kernel_id": "35083999"}, {"ref": "redelectricyw/ls-homework-230227", "kernel_id": "35491661"}, {"ref": "minagholami/titanic-eda", "kernel_id": "35777679"}, {"ref": "mrescience/titanic-version-1", "kernel_id": "35058748"}, {"ref": "deekshithmac/titanic-intro-to-ds", "kernel_id": "35863809"}, {"ref": "jocelyndumlao/titanic-survival-prediction", "kernel_id": "35529125"}, {"ref": "alyaamoh/titanic-eda-3classification-models", "kernel_id": "35749944"}, {"ref": "cengizalbayrak/ca-titanic-eda", "kernel_id": "35750941"}, {"ref": "kapilwanaskar/titanic-competition-on-kaggle", "kernel_id": "35020828"}, {"ref": "nisakra/titanik-eda", "kernel_id": "35941318"}, {"ref": "bahadirozcanli/titanic-competition", "kernel_id": "35848321"}, {"ref": "mohamedtahaouf/titanic-eda-ml", "kernel_id": "35917249"}, {"ref": "akshayjoshiiii/titanic-analysis", "kernel_id": "35730416"}, {"ref": "ne12345/titanic", "kernel_id": "35063816"}, {"ref": "tuhinm2002/titanic-disaster", "kernel_id": "35266606"}, {"ref": "jayasreekandregula/basics-statistics-distributions-with-python", "kernel_id": "35995553"}, {"ref": "akshayravi000/titanic-survival-prediction", "kernel_id": "35701523"}, {"ref": "ahmedabdallah124/eda-titanic", "kernel_id": "35288352"}, {"ref": "harshraj09sp/titanic-prediction-using-xgboost", "kernel_id": "35703903"}, {"ref": "nadzmiagthomas/detailed-eda-in-5-lines", "kernel_id": "35039404"}, {"ref": "sajadtaj/titanic-survive", "kernel_id": "35901226"}, {"ref": "yasserkhira/notebook040310a926", "kernel_id": "35882385"}, {"ref": "rushikeshmuley/eda-titanic-dataset", "kernel_id": "35359334"}, {"ref": "mohamedmamdouh22/titanic", "kernel_id": "35415338"}, {"ref": "nayanpariya/titanic-survival-prediction-eda-90-acc", "kernel_id": "35508327"}, {"ref": "ichhadhari/pandas-notebook", "kernel_id": "35294267"}, {"ref": "ichhadhari/mastering-pandas-25-tip-and-tricks", "kernel_id": "35598412"}, {"ref": "muhammedresitiekda/titanic-randomforestclassifier", "kernel_id": "35107510"}, {"ref": "pranavmanoj/titanic-dataset-logistic-regression", "kernel_id": "35732180"}, {"ref": "harshjain28/titanic-using-random-forest-classifier-and-xgboost", "kernel_id": "35710851"}, {"ref": "surjyaneehalder/titanic", "kernel_id": "35202343"}, {"ref": "aniketkumargiri/introduction-to-exploratory-data-analysis-titanic", "kernel_id": "35578772"}, {"ref": "drsdeepalakshmi/titanic-lgbmclassifier", "kernel_id": "35354682"}, {"ref": "pskreddy639/titanic-survival-eda", "kernel_id": "35212441"}, {"ref": "jsb2092/introduction-to-decision-trees-titanic-dataset", "kernel_id": "35652714"}, {"ref": "sufyan12/notebook01a256e5f0", "kernel_id": "35856615"}, {"ref": "alymohamed01/titanic-first-try", "kernel_id": "35140023"}, {"ref": "edwardhuangtw/titanic", "kernel_id": "35808758"}, {"ref": "hariprasathmanimaran/an-interactive-data-science-tutorial", "kernel_id": "35085891"}, {"ref": "max780228/titanic-ls", "kernel_id": "35312797"}, {"ref": "leochen5566/titanic-cj2", "kernel_id": "35117015"}, {"ref": "nawinrajkumars/titanic-dataset-close-to-80-accuracy", "kernel_id": "35253504"}, {"ref": "dorcasmunoko/titanic-ml", "kernel_id": "35084578"}, {"ref": "lusfernandotorres/adversarial-validation-made-simple", "kernel_id": "35623579"}, {"ref": "lusfernandotorres/the-abcs-of-machine-learning-4-essential-models", "kernel_id": "35736168"}, {"ref": "alexandresieg/tp-maths-titanic", "kernel_id": "35136261"}, {"ref": "eyadalqaysi/titanic-classification-acc-76", "kernel_id": "35185047"}, {"ref": "arunyamolgk/titanic-survival-prediction-logre", "kernel_id": "35907897"}, {"ref": "ribeiropvbr/7-models-and-their-compairson", "kernel_id": "35954902"}, {"ref": "germanovdev/titanic-baseline-solution-on-julia", "kernel_id": "35005237"}, {"ref": "janproke/titanic-my-first-own-basic-model-on-kaggle", "kernel_id": "35052627"}, {"ref": "alexandermarfin/titanicpredictionnew", "kernel_id": "35225184"}, {"ref": "austinchao/notebook-titanic-machine-learning-from-disaster", "kernel_id": "35729871"}, {"ref": "muhammadatef/titanic-mynotebook", "kernel_id": "35312323"}, {"ref": "shreyashsomvanshi/first-notebook-titanic-survival-prediction", "kernel_id": "35187685"}, {"ref": "addythokale/machine-learning-titanic-disaster", "kernel_id": "35321544"}, {"ref": "sudhanshu2198/titanic-survival-prediction-app", "kernel_id": "35522982"}, {"ref": "aadyasingh55/exercise-arithmetic-and-variables", "kernel_id": "35405738"}, {"ref": "tanmaygajmal/titanic-machine-learning-from-disaster-predictio", "kernel_id": "35015632"}, {"ref": "mwaseem75/titanic-first-notebook-for-tabular-data", "kernel_id": "35973591"}, {"ref": "pasqualemar/top-5-titanic-keep-it-simple-w-logisticreg", "kernel_id": "35586475"}, {"ref": "reboot2h/exercise-arithmetic-and-variables", "kernel_id": "35462501"}, {"ref": "akandeboluwatife/titanic-eda", "kernel_id": "35265120"}, {"ref": "burcukoc/titanic-support-vector-machine", "kernel_id": "35740515"}, {"ref": "swish9/titanic01", "kernel_id": "35361292"}, {"ref": "burcakaydn/titanic", "kernel_id": "35036675"}, {"ref": "zoepapagianni/titanic-ml-competition", "kernel_id": "35062630"}, {"ref": "abdelrahmanekhaldi/titanic-hints-you-may-missed", "kernel_id": "35748785"}, {"ref": "nikunjchoudhary/hyperparameter-optimisation", "kernel_id": "35267686"}, {"ref": "harshalhonde/titanic", "kernel_id": "35437468"}, {"ref": "sanandachowdhury/titanic-ml-for-disaster", "kernel_id": "35614211"}, {"ref": "sanandachowdhury/titanic-ml", "kernel_id": "35615592"}, {"ref": "sanandachowdhury/titanic-eda-hypothesis-testing", "kernel_id": "35831633"}, {"ref": "sanandachowdhury/titanic-linear-regression-model", "kernel_id": "35832222"}, {"ref": "sanandachowdhury/the-abcs-of-machine-learning-4-essential-models", "kernel_id": "35770684"}, {"ref": "alamukiiraakha/titanic-prediction-model-using-svm", "kernel_id": "35981489"}, {"ref": "nandobb1411/titanic-notebook", "kernel_id": "35064257"}, {"ref": "kalyanpoluri/titanic-challenge", "kernel_id": "35898380"}, {"ref": "imadali595/titanic-crash", "kernel_id": "35989486"}, {"ref": "abinashsouri28/titanic-ml-v1", "kernel_id": "35017961"}, {"ref": "pedropaulohonorato/titanic-ml-model-1st-kaggle-submit", "kernel_id": "35988990"}, {"ref": "moezkloula/randomforest", "kernel_id": "35767484"}, {"ref": "moezkloula/baggingclassifier", "kernel_id": "35611256"}, {"ref": "talhabu/surviving-titanic-a-comprehensive-guide-using-ml", "kernel_id": "35453019"}, {"ref": "sabahesaraki/titanic-machine-learning-from-disaster", "kernel_id": "35551165"}, {"ref": "danielmarom/titanic-survival-rate-a-beginners-trial", "kernel_id": "35021654"}, {"ref": "linhto0907/titanic-competition", "kernel_id": "35609036"}, {"ref": "ahmedkhaled23/ml-titanic", "kernel_id": "35419437"}, {"ref": "ahmedmmmahmoud/titanic-classification", "kernel_id": "35299286"}, {"ref": "abdokhattab/titanic-logistic-regression", "kernel_id": "35357878"}, {"ref": "mohamedmaboshady/m-aboshady3", "kernel_id": "35551737"}, {"ref": "mohamedmaboshady/m-aboshady2", "kernel_id": "35538963"}, {"ref": "mohamedmaboshady/maboshady", "kernel_id": "35106268"}, {"ref": "mohamedmaboshady/aboshady-7", "kernel_id": "35985199"}, {"ref": "mohamedmaboshady/aboshady-6", "kernel_id": "35949420"}, {"ref": "mohamedmaboshady/aboshady-4", "kernel_id": "35761671"}, {"ref": "wwebster/kaggle-titanic-using-svm", "kernel_id": "35243879"}, {"ref": "khushhsoni/daemon-titanic", "kernel_id": "35538758"}, {"ref": "muhammadnafiz/notebook8878145da3", "kernel_id": "35435510"}, {"ref": "rajjais3003/titanic-data-set-notebook", "kernel_id": "35670026"}, {"ref": "neetmadan/titanic-ensemble-model", "kernel_id": "35444244"}, {"ref": "greyisbetter/less-than-38-can-only-survive", "kernel_id": "35817592"}, {"ref": "josepblasco/titanic-logit", "kernel_id": "35513053"}, {"ref": "rupeshmahanty/titanic-machine-learning-from-disaster", "kernel_id": "35711900"}, {"ref": "ayusharora97/ml-decision-tree-survival-rate-prediction", "kernel_id": "35458096"}, {"ref": "celizarbe/titanic-first-attempt", "kernel_id": "35656034"}, {"ref": "prernachadha/getting-started-with-the-titanic-dataset", "kernel_id": "35258154"}, {"ref": "mingyuwang1/easy-ml", "kernel_id": "35280432"}, {"ref": "imchalongchar/titanic-comp", "kernel_id": "35129217"}, {"ref": "sushilyeotiwad/tweets-sentiment-analysis-support-vector-machine", "kernel_id": "35362137"}, {"ref": "maqboolkaxmi/eda-titanic", "kernel_id": "35900585"}, {"ref": "sravanicharugundla/eda-on-titanic", "kernel_id": "35493285"}, {"ref": "maryamaqua/titanic-competition-full-data-analysis", "kernel_id": "35294109"}, {"ref": "stefanoligabue/notebook31490f6f26", "kernel_id": "35103028"}, {"ref": "gongonta/mywork", "kernel_id": "35383618"}, {"ref": "konstantinoskazazis/titanic-prediction", "kernel_id": "35204979"}, {"ref": "karthikheyaakurra/titanic-model", "kernel_id": "35335913"}, {"ref": "yankigurkan/titanic-dataset-classification", "kernel_id": "35342315"}, {"ref": "hasibullahaman/titanic-logistic-regression", "kernel_id": "35166595"}, {"ref": "polaninethajiram/titanic-classification", "kernel_id": "35090244"}, {"ref": "shubhankarkumar9934/notebooke31355bce2", "kernel_id": "35154903"}, {"ref": "dileepkasimalla/titanic-disaster", "kernel_id": "35103057"}, {"ref": "sujithmandala/titanic-survivor-prediction-ensemble-model-97", "kernel_id": "35377318"}, {"ref": "dibyamurtyshaw/eda-and-classifier-algorithms-on-titanic-dataset", "kernel_id": "35439952"}, {"ref": "nikhilsharma1212/titanic-ml-from-disaster", "kernel_id": "35328275"}, {"ref": "kothais/titanic-competition", "kernel_id": "35172942"}, {"ref": "karinae/ga-drop", "kernel_id": "35317155"}, {"ref": "kaibaur/beginning-of-taitanic-tutorial", "kernel_id": "35259565"}, {"ref": "keremkarayaz/titanic-data-analysis", "kernel_id": "35807720"}, {"ref": "keremkarayaz/submission-train", "kernel_id": "35848033"}, {"ref": "mohdimranm/titanic-survival-eda", "kernel_id": "35273111"}, {"ref": "bakiyildiz/titanic-eda-datai", "kernel_id": "35209976"}, {"ref": "kirubaselvieit17021/titanic-survival", "kernel_id": "35976474"}, {"ref": "moro146/exercise-arithmetic-and-variables", "kernel_id": "35113044"}, {"ref": "priyanshusharma933/titanic-1-0-priyanshu", "kernel_id": "35474545"}, {"ref": "akshitasana/titanic-survival-prediction", "kernel_id": "35524936"}, {"ref": "kepler296b/titanic", "kernel_id": "35184891"}, {"ref": "ankitapandav1212/titanic-dataset-prediction-using-ml", "kernel_id": "35366936"}, {"ref": "harinimurugan13/scripting-a-model-from-knime-workflow-to-python", "kernel_id": "35468645"}, {"ref": "alihasnainch/my-titanic-data-science-solutions", "kernel_id": "35340826"}, {"ref": "pavithraloganathan/titanic", "kernel_id": "35122264"}, {"ref": "joshuavillarreal/glm-titanic", "kernel_id": "35556677"}, {"ref": "fractals001/first-with-titanic", "kernel_id": "35849192"}, {"ref": "rutvikvatsa/comp-titanic", "kernel_id": "35809534"}, {"ref": "sarahfikry/notebook4166f92a15", "kernel_id": "35273892"}, {"ref": "mukulsaini01/titanic-data-science", "kernel_id": "35560627"}, {"ref": "dasantman/titanic-in-r", "kernel_id": "35946364"}, {"ref": "fatmavatansever/titanic-project-eda", "kernel_id": "35710601"}, {"ref": "sebastiengac/new-titanic", "kernel_id": "35650263"}, {"ref": "abhijeetsingh18/titanic-eda", "kernel_id": "35616272"}, {"ref": "zlinxiang/titanic-test", "kernel_id": "35998928"}, {"ref": "jayendraprabhus/titanic-causal-analysis", "kernel_id": "35316819"}, {"ref": "stu0430/top-10-titanic-kor-eng", "kernel_id": "35915881"}, {"ref": "selvin3/titanic-classification-applying-various-algorithms", "kernel_id": "35729741"}, {"ref": "warriorwizard/titanic-competion", "kernel_id": "35404523"}, {"ref": "abhisangharora/notebooka0fc270f1e", "kernel_id": "35890264"}, {"ref": "ngquangdngb19dccn120/titanic-ml-v1", "kernel_id": "35429086"}, {"ref": "kavyasrib/titanic-survival-prediction", "kernel_id": "35760820"}, {"ref": "rony000013/titanic-kaggle-survival-prediction", "kernel_id": "35849481"}, {"ref": "atiebr/titanic", "kernel_id": "35696220"}, {"ref": "siddhantsindhkar/passenger-survival-prediction-lightgbm", "kernel_id": "35765666"}, {"ref": "abdelrahmanfahmy/titanic-full-eda-and-classification-models", "kernel_id": "35261629"}, {"ref": "josuadaniel/buat-belajar-machine-learning-indonesia", "kernel_id": "35878279"}, {"ref": "swastikgorai/titanic1", "kernel_id": "35521194"}, {"ref": "itthisakpra/titanic-logistic-regression-week5-6", "kernel_id": "35297652"}, {"ref": "goodwill37/titanic", "kernel_id": "35532162"}, {"ref": "enginmemi/titanic-data-analyze", "kernel_id": "35134285"}, {"ref": "yassinabdulmahdi/eda-titanic", "kernel_id": "35370765"}, {"ref": "aounullahkhan/titanic-using-logistic-regression", "kernel_id": "35221449"}, {"ref": "zeeshanahmed3155/titanic-machine-learning-from-disaster", "kernel_id": "35994747"}, {"ref": "danilayurin/titanic-competition-with-xgboost", "kernel_id": "35655792"}, {"ref": "otrivedi/titanic-dataset-eda", "kernel_id": "35040268"}, {"ref": "yakubsadlil/titanic-eda-ml-with-detail-explanation-beginners", "kernel_id": "35583646"}, {"ref": "choiut/is-binning-useful-for-xgboost", "kernel_id": "35296413"}, {"ref": "miltiadesgeneral/analyzing-the-data-and-building-multiple-ml-models", "kernel_id": "35315677"}, {"ref": "raghav42513/random-forest-titanic", "kernel_id": "35560300"}, {"ref": "venkatahemanthg/titanic-model", "kernel_id": "35032417"}, {"ref": "mrandes/titanic-getting-started", "kernel_id": "35497155"}, {"ref": "chjaa1544/tatatatanic", "kernel_id": "35826512"}, {"ref": "jbngcrs/titanic-competition-xgboost", "kernel_id": "35125777"}, {"ref": "guilhermesuzuki/titanic", "kernel_id": "35043355"}, {"ref": "michael1241/house-prices-linear-regression", "kernel_id": "35879818"}, {"ref": "kirze2206/titanic", "kernel_id": "35478879"}, {"ref": "kirze2206/titanic-using-tensorflow", "kernel_id": "35607698"}, {"ref": "pranjalbhor/titanic-dataset-competation", "kernel_id": "35061383"}, {"ref": "mdforiduzzamanzihad/tweets-sentiment-analysis-support-vector-machine", "kernel_id": "35564693"}, {"ref": "jessicarrr/notebookc424f057a8", "kernel_id": "35313553"}, {"ref": "omarhany97/titanic-dataset-omar-hany", "kernel_id": "35703564"}, {"ref": "chaitnyapol/titanic-machine-learning-from-disaster-kaggle", "kernel_id": "35187183"}, {"ref": "awesomeharris/getting-started-with-titanic", "kernel_id": "35998562"}, {"ref": "asadxio/exercise-arithmetic-and-variables", "kernel_id": "35483171"}, {"ref": "kajaltiwarikamlesh/mathematical-transformer", "kernel_id": "35843336"}, {"ref": "kajaltiwarikamlesh/pandas-profiling-report", "kernel_id": "35728824"}, {"ref": "kajaltiwarikamlesh/eda-univariant-understanding-the-data-part-2", "kernel_id": "35569150"}, {"ref": "akj2947/pytorch-1", "kernel_id": "35477327"}, {"ref": "akj2947/logistic-regression", "kernel_id": "35210746"}, {"ref": "somapruthvinath/gettingstartedwithtitanic", "kernel_id": "35599590"}, {"ref": "vishakkbhat/titanic-eda-and-ensemble", "kernel_id": "35869621"}, {"ref": "addiwarluckyreddy/titanic-prediction", "kernel_id": "35390342"}, {"ref": "namespaiva/titanico-integras-2", "kernel_id": "35740200"}, {"ref": "renanmour4/easy-titanic-predict", "kernel_id": "35177153"}, {"ref": "maryamayman20/titanic-logistic-regression", "kernel_id": "35419480"}, {"ref": "priyankgupta95/titanic-tutorial", "kernel_id": "35761764"}, {"ref": "memelos/notebook9031a8edda", "kernel_id": "35843001"}, {"ref": "osmansefacoar/titanic", "kernel_id": "35408300"}, {"ref": "retatung/titanic-eda-practice", "kernel_id": "35875813"}, {"ref": "anujmalikk/titanic-prediction", "kernel_id": "35548369"}, {"ref": "ashrithareddyv/eda-on-titanic", "kernel_id": "35517655"}, {"ref": "bhikshapathi/eda-on-titanic", "kernel_id": "35490745"}, {"ref": "ananthu19/titanic-survival-prediction", "kernel_id": "35613379"}, {"ref": "ezequielalvessoares/come-ando-com-titanic-tutorial-traduzido", "kernel_id": "35074321"}, {"ref": "aranpandey/titanic", "kernel_id": "35452453"}, {"ref": "faisalali4364/titanic", "kernel_id": "35009030"}, {"ref": "ashekam/titanic", "kernel_id": "35418025"}, {"ref": "aryaadithyan/titanic-prediction", "kernel_id": "35727143"}, {"ref": "mamunhossen/201015118", "kernel_id": "35395815"}, {"ref": "malharjagdale/titanic-v1", "kernel_id": "35491874"}, {"ref": "naveenkumar20bps1137/titanic-survival-prediction-in-r", "kernel_id": "35648039"}, {"ref": "asrithvatsal/titanic", "kernel_id": "35215436"}, {"ref": "daniilmorozkov/data-wrangling", "kernel_id": "35628923"}, {"ref": "ryanle13/titanic-hung-mlho-k2", "kernel_id": "35777361"}, {"ref": "rakeshkudmulwar7/case-study-titanic-dataset", "kernel_id": "35936101"}, {"ref": "robinmiah1/titanic-machine-learning-from-disaster", "kernel_id": "35177505"}, {"ref": "mostafasamerdorrah/titanic-dataset-using-random-forest", "kernel_id": "35227563"}, {"ref": "pranjalpokhrel/ds-class", "kernel_id": "35215868"}, {"ref": "a1bd1a056f/eda123", "kernel_id": "35543278"}, {"ref": "antaraadhikary/titanic", "kernel_id": "35395811"}, {"ref": "alifioditya/titanic-classification-basic-pipeline", "kernel_id": "35914339"}, {"ref": "vedatgul/titanic-survival-prediction-with-ml", "kernel_id": "35981631"}, {"ref": "mohanasriramelango/titanic-survivor-prediction", "kernel_id": "35139371"}, {"ref": "deevikaa/titanic-survival-prediction-using-logre", "kernel_id": "35966261"}, {"ref": "jeevanandhana/titanic-prediction", "kernel_id": "35901293"}, {"ref": "annapavan566/external-xam-eda", "kernel_id": "35535031"}, {"ref": "anjalidulam/fp2-eda", "kernel_id": "35539200"}, {"ref": "kristinapoberezhna/titanic-solution", "kernel_id": "35738396"}, {"ref": "anakha27/titanic-dataset-prediction", "kernel_id": "35727099"}, {"ref": "merturper/titanic-project", "kernel_id": "35064088"}, {"ref": "shakirahmadbarbhuiya/eda-titanic", "kernel_id": "35583936"}, {"ref": "fabiosalerno/titanic-ml", "kernel_id": "35496283"}, {"ref": "kdsharma/titanic-machine-learning-from-disaster", "kernel_id": "35120009"}, {"ref": "chooyeanchan/titanic-beginner-230307", "kernel_id": "35774684"}, {"ref": "amalab182/titanic-survival-prediction", "kernel_id": "35974226"}, {"ref": "aiswaryasr155/titanic-prediction", "kernel_id": "35727176"}, {"ref": "riksse/titanic-2-0", "kernel_id": "35937200"}, {"ref": "nandhanasuresh/titanic-survival-prediction", "kernel_id": "35429454"}, {"ref": "pratikshajagtap787/titanic-with-machine-learning", "kernel_id": "35257560"}, {"ref": "mdkaif007/machine-learning-titanic", "kernel_id": "35847660"}, {"ref": "rupanshirana/titanic-logistic-regression", "kernel_id": "35887183"}, {"ref": "prat1kaggle/titanic-dataset-survival-prediction", "kernel_id": "35845881"}, {"ref": "tshinde/titanic-train-dataset-prediction", "kernel_id": "35707727"}, {"ref": "kajakadam/titanic-prediction-using-ml", "kernel_id": "35523034"}, {"ref": "akshatsharma0610/notebook5fd1324546", "kernel_id": "35841771"}, {"ref": "akshatsharma0610/titanic-survival-by-decision-tree", "kernel_id": "35842281"}, {"ref": "jsanjanaa/titanic-data-set-prediction", "kernel_id": "35727290"}, {"ref": "aravindhanarun/titanic-survival-prediction", "kernel_id": "35197504"}, {"ref": "nehalyede/titanic-machine-learning-from-disaster", "kernel_id": "35340812"}, {"ref": "emrecanulu/titanik-tahmini-79", "kernel_id": "35870115"}, {"ref": "dragonking27272/titanic-survived-prediction-ann", "kernel_id": "35931599"}, {"ref": "hazarr/titanic-eda", "kernel_id": "35308543"}, {"ref": "sunayanagawde/titanic-survival-prediction-with-best-model", "kernel_id": "35648330"}, {"ref": "ashokrajuyadav/titanic", "kernel_id": "35608427"}, {"ref": "aditorium/exercise-arithmetic-and-variables", "kernel_id": "35931210"}, {"ref": "aditorium/notebook5f54739286", "kernel_id": "35852827"}, {"ref": "harshekbote/titanic-data-classification", "kernel_id": "35535194"}, {"ref": "dinaemadnemr/titanic", "kernel_id": "35851979"}, {"ref": "nanski12/titanic-final-84-score", "kernel_id": "35009580"}, {"ref": "anushakolaki/titanic-train-dataset-prediction-using-ml", "kernel_id": "35366576"}, {"ref": "jesusmartinalcala/xgboostclassifier", "kernel_id": "35428865"}, {"ref": "shrutisridhar2/20bce1405-shrutisridhar", "kernel_id": "35425046"}, {"ref": "akankhsa2104/titanic-using-machine-learning", "kernel_id": "35258232"}, {"ref": "thanushreesridhara/titanic-disaster-feature-engineering", "kernel_id": "35286743"}, {"ref": "itzdevil/titanic", "kernel_id": "35918297"}, {"ref": "arashyeganeh/titanic-predicting-survival", "kernel_id": "35820456"}, {"ref": "rimshaali87/exercise-arithmetic-and-variables", "kernel_id": "35108466"}, {"ref": "pouytrewq/titanic-1", "kernel_id": "35537650"}, {"ref": "garrettgramzow/titanic-competition-first-attempt-random-forest", "kernel_id": "35521411"}, {"ref": "ranitsarkar01/getting-started-with-titanic", "kernel_id": "35430671"}, {"ref": "tinarogava/titanic-gau-data-science-iii", "kernel_id": "35840109"}, {"ref": "mohammadjavadpk/jjjjjj", "kernel_id": "35383681"}, {"ref": "raulstefanpop/titanic-tutorial", "kernel_id": "35840758"}, {"ref": "adriencv/titatic-av", "kernel_id": "35972231"}, {"ref": "cheesleypringlesman/titanic-survivors-predictor", "kernel_id": "35200892"}, {"ref": "willtonkin/titanic-wip", "kernel_id": "35173287"}, {"ref": "boyzone007/first-project-titanic", "kernel_id": "35036703"}, {"ref": "yongchanshin/titanic-survival-first-machine-learning-model", "kernel_id": "35053389"}, {"ref": "jonathanradcliffe/titanic-second-go", "kernel_id": "35406111"}, {"ref": "qammaruzzamman/titanic-tutorial", "kernel_id": "35930788"}, {"ref": "abdullah182/proj1-titanic-ds", "kernel_id": "35293191"}, {"ref": "rahulmanglani/titanic-self", "kernel_id": "35682847"}, {"ref": "kemalfaruktalay/titanic-eda", "kernel_id": "35425702"}, {"ref": "raulsoriano/notebook2de9ca70ec", "kernel_id": "35437965"}, {"ref": "eleonoraricci/model-screening-imports", "kernel_id": "35816749"}, {"ref": "delciadaly/r-assignment-500000504", "kernel_id": "35811681"}, {"ref": "zadafiyabhrami/titanic-survival-competition-by-decision-tree", "kernel_id": "35833130"}, {"ref": "khanhduong241218/titannic", "kernel_id": "35167910"}, {"ref": "khanhduong241218/titanic-log", "kernel_id": "35217286"}, {"ref": "mingchienwang/notes-from-titanic", "kernel_id": "35058504"}, {"ref": "montenegroj/gs-with-titanic", "kernel_id": "35517649"}, {"ref": "lucykim8/getting-started-with-titanic", "kernel_id": "35515818"}, {"ref": "giovanisgarabotto/titanic-pod", "kernel_id": "35270806"}, {"ref": "kaileighstopa/top-2-titanic-ml-model-to-predict-survival", "kernel_id": "35259575"}, {"ref": "anjusukumaran4/titanic-machine-learning-from-disaster", "kernel_id": "35998886"}, {"ref": "vikingpk/titanic-survival-predictions", "kernel_id": "35551238"}, {"ref": "niralipatel20/decision-tree-on-titanic", "kernel_id": "35837381"}, {"ref": "cidliaeusbio/assignment-7-titanic-data", "kernel_id": "35173006"}, {"ref": "elikanner/titanic-tutorial", "kernel_id": "35501862"}, {"ref": "graybittker/titanic-ml-model-final-draft", "kernel_id": "35503259"}, {"ref": "farhankalam/titanic-competition", "kernel_id": "35613839"}, {"ref": "nasreenwashington/titanic-tutorial", "kernel_id": "35478052"}, {"ref": "toripark/titanic-2nd-submission", "kernel_id": "35510193"}, {"ref": "oscarchavarriarivera/titanic-tutorial", "kernel_id": "35620360"}, {"ref": "oscarchavarriarivera/oscar-new-titanic-version", "kernel_id": "35783423"}, {"ref": "nadishachowdhury/final-titanic-submission", "kernel_id": "35783246"}, {"ref": "qiushichend/notebookb7a3ffa89a", "kernel_id": "35139559"}, {"ref": "murtazaaamir/titanic-with-disaster", "kernel_id": "35019805"}, {"ref": "venkatamanikumaru/notebookbee662a5c4", "kernel_id": "35389713"}, {"ref": "burcutas/final-titanic", "kernel_id": "35923380"}, {"ref": "huangmegan/titanic-competition-submission-megan-huang", "kernel_id": "35138699"}, {"ref": "michiomitake/logistic-model-no-interpolation", "kernel_id": "35453377"}, {"ref": "dhconnelly/titanic", "kernel_id": "35547186"}, {"ref": "sudheeshr/titanic", "kernel_id": "35389998"}, {"ref": "bstricks/notebookd05ae1b35b", "kernel_id": "35473373"}, {"ref": "zhushunlong/kaggle-tatanic", "kernel_id": "35092352"}, {"ref": "suwapatchc/first-attempted-on-titanic-data-set", "kernel_id": "35335549"}, {"ref": "antonbelyaevd/trying-titanic", "kernel_id": "35518206"}, {"ref": "vinnyr12/cap5610-hw2", "kernel_id": "35482222"}, {"ref": "jessicaval/titanic-predictions-pipeline", "kernel_id": "35221470"}, {"ref": "thumikimayukha/titanic", "kernel_id": "35855075"}, {"ref": "hasanemrebaryank/titanic-researcher-data-analysis", "kernel_id": "35225000"}, {"ref": "tolgabyk/titanic-project", "kernel_id": "35921771"}, {"ref": "amitech90/titanic-dataset-competiton", "kernel_id": "35291259"}, {"ref": "psy010208/titanic-practice", "kernel_id": "35558304"}, {"ref": "robertking11/titanic-xgb-classifier-pipeline", "kernel_id": "35037802"}, {"ref": "rezaulislam22/titanic-0-95-accuracy-reached-with-decision-tree", "kernel_id": "35053030"}, {"ref": "adityabhadauria/titanic-survival", "kernel_id": "35739554"}, {"ref": "dhanishahahaha/titanic-competition-notebook", "kernel_id": "35073180"}, {"ref": "dhanishahahaha/feature-construction-and-extraction", "kernel_id": "35438761"}, {"ref": "shota5/kaggle", "kernel_id": "35913570"}, {"ref": "ashik245/notebook56684f51ac", "kernel_id": "35157147"}, {"ref": "hendrayulisman/exercise-arithmetic-and-variables", "kernel_id": "35325290"}, {"ref": "suruchibarana/titanic1", "kernel_id": "35396284"}, {"ref": "otowa06/titanic-prediction", "kernel_id": "35386590"}, {"ref": "pradipto68/titanic-logistic-newton-cg", "kernel_id": "35441755"}, {"ref": "sykimlsn/notebooka305db8817", "kernel_id": "35465720"}, {"ref": "tuananhnguyen98/titanic-final", "kernel_id": "35429488"}, {"ref": "linakeepgoing/titanic-on-the-top-with-a-simple-model", "kernel_id": "35034298"}, {"ref": "computervisi/titanic-eda", "kernel_id": "35041193"}, {"ref": "katsutakahashi/titanic-3rd-submission", "kernel_id": "35641331"}, {"ref": "antunkarlovac/antun-s-getting-started-with-titanic", "kernel_id": "35242720"}, {"ref": "t9anef/notebook1101ba7d24", "kernel_id": "35053779"}, {"ref": "antoniora/notebook9132513b1f", "kernel_id": "35266996"}, {"ref": "datascientistsh/titanic-rf-model", "kernel_id": "35146875"}, {"ref": "slimbensalah/titanic-competition", "kernel_id": "35099861"}, {"ref": "iliaklimov/titanic-lr", "kernel_id": "35546122"}, {"ref": "najmaabdulkarimnor/exercise-arithmetic-and-variables", "kernel_id": "35075464"}, {"ref": "tjtopic/notebook-tino-t", "kernel_id": "35307463"}, {"ref": "ibrahimoduola/titanic-survival-prediction-log-regression", "kernel_id": "35415040"}, {"ref": "ibrahimoduola/survival-prediction-with-random-forest", "kernel_id": "35623665"}, {"ref": "bastienchies/titanic-challenge-using-preprocessing-layers", "kernel_id": "35383074"}, {"ref": "bastienchies/titanic-challenge-using-mlp", "kernel_id": "35506499"}, {"ref": "avishkarkunjir/titanic", "kernel_id": "35120799"}, {"ref": "romkaq/titanic-new-solution", "kernel_id": "35813134"}, {"ref": "romkaq/fastai-titanic-solution", "kernel_id": "35812482"}, {"ref": "ashwinickamath/titanic-ashwini-kamath-218563130", "kernel_id": "35273989"}, {"ref": "ashwinickamath/titanic-2-ashwini-kamath", "kernel_id": "35265175"}, {"ref": "hatch8/titanic-getting-started", "kernel_id": "35456256"}, {"ref": "sebastianog/getting-started-with-titanic", "kernel_id": "35742984"}, {"ref": "hasibahmed56/getting-started-with-titanic", "kernel_id": "35509124"}, {"ref": "stephenwerronen/getting-started-with-titanic", "kernel_id": "35628504"}, {"ref": "muwenchuan/ddg-level-1-h2o", "kernel_id": "35538664"}, {"ref": "prabathwijethilaka/titanic-dataset-with-xgboost", "kernel_id": "35692972"}, {"ref": "statisticsplaybook/2-titanic", "kernel_id": "35479943"}, {"ref": "misao0/notebook03046316e1", "kernel_id": "35249603"}, {"ref": "chwasiq0569/eda-and-survival-prediction-on-titanic-dataset", "kernel_id": "35252419"}, {"ref": "shreyarjun/titanic-survival-rate", "kernel_id": "35681287"}, {"ref": "teoseihau/getting-started-with-titanic", "kernel_id": "35319328"}, {"ref": "shabihasnain811/shabi-hasnain", "kernel_id": "35270386"}, {"ref": "poorscoop/exercise-arithmetic-and-variables", "kernel_id": "35272926"}, {"ref": "sangraynabalqis/cheatsheet-70-ggplot-charts", "kernel_id": "35829706"}, {"ref": "brayanacebo/ml-class-group-1", "kernel_id": "35582372"}, {"ref": "soumyadeepganguly23/passengers-death-prediction-in-titanic-dataset", "kernel_id": "35301953"}, {"ref": "rupininuthakki/rupini", "kernel_id": "35314133"}, {"ref": "rupininuthakki/improved-accuracy", "kernel_id": "35786261"}, {"ref": "chaimatitandsi/titanictitanic", "kernel_id": "35926398"}, {"ref": "srikanta222/titanic-survival-prediction", "kernel_id": "35430367"}, {"ref": "monisha591996/exercise-arithmetic-and-variables", "kernel_id": "35542540"}, {"ref": "rdxabhishek/exercise-arithmetic-and-variables", "kernel_id": "35375134"}, {"ref": "aihareyama/titanic-survived-japanese-write", "kernel_id": "35530466"}, {"ref": "jeongjaelim/test1", "kernel_id": "35416089"}, {"ref": "shinonon/notebookc3b366f143", "kernel_id": "35420604"}, {"ref": "kushanbhagya/titanic", "kernel_id": "35912535"}, {"ref": "aadarshguptaiiest/titanic", "kernel_id": "35665744"}, {"ref": "shivamrshi/notebook57fe753aee", "kernel_id": "35454758"}, {"ref": "jankratschmann/titanic-first-notebook", "kernel_id": "35984513"}, {"ref": "tanviyarragunta/fork-of-titanic-tutorial", "kernel_id": "35890298"}, {"ref": "sungjoonkim10/getting-started-with-titanic", "kernel_id": "35482576"}, {"ref": "sanketmore19/notebook341cbd682d", "kernel_id": "35878059"}, {"ref": "oualidmoutaouif/first-steps", "kernel_id": "35539034"}, {"ref": "alikkaggle/titanic", "kernel_id": "35919072"}, {"ref": "josephbiefed/titanic-data-science-solutions", "kernel_id": "35776654"}, {"ref": "waicat/titanit-th", "kernel_id": "35742152"}, {"ref": "rithikreddy2105/titanic-train", "kernel_id": "35562897"}, {"ref": "burakergene/titanic-eda-comparing-all-ml-algorithms", "kernel_id": "35747945"}, {"ref": "drlexus/titanic-survival-lstm-predictor", "kernel_id": "35780846"}, {"ref": "buneshathankar25/titanic-machine-learning-from-disaster", "kernel_id": "35886263"}, {"ref": "naokisusami/karugamo", "kernel_id": "35723086"}, {"ref": "yacineuparis/titanic-exercises", "kernel_id": "35680315"}, {"ref": "dheeraj857/getting-started-with-titanic", "kernel_id": "35633276"}, {"ref": "vijayareddy123/titanic", "kernel_id": "35688693"}, {"ref": "gustavofortunato/titanic-better", "kernel_id": "35914513"}, {"ref": "zargulansari/predictions-about-titanic", "kernel_id": "35895700"}, {"ref": "iqbalfarhan211/dr1-hensdaf", "kernel_id": "35939616"}, {"ref": "sandramoses/titanick", "kernel_id": "35891186"}, {"ref": "rishikaendal/titanic-rishika", "kernel_id": "35896989"}, {"ref": "thanos8p/titanic-with-catboostclassifier", "kernel_id": "35927224"}, {"ref": "fredericallenstevens/binary-classification-model-from-scratch", "kernel_id": "35844124"}, {"ref": "fiftythirtyfour/titanic-randomforest-0-78708", "kernel_id": "35836633"}, {"ref": "andreigalitianu/die-titanic-sinkt-in-panik", "kernel_id": "35840506"}, {"ref": "boianradustefan/titanic-tutorial", "kernel_id": "35936455"}, {"ref": "mirunacandea/titanictutorialllll", "kernel_id": "35848688"}, {"ref": "anamitraroy/titanic-tutorial", "kernel_id": "35865150"}, {"ref": "kesanisaisivarevanth/titanic-revanth", "kernel_id": "35874414"}, {"ref": "vinushagali/notebook923da78858", "kernel_id": "35874096"}, {"ref": "shijinkumar/best-titanic-survival-prediction-for-beginners", "kernel_id": "35876455"}, {"ref": "thekarkii/titanic-tutorial", "kernel_id": "35899384"}, {"ref": "udayappankumaresan/titanic-win", "kernel_id": "35942583"}, {"ref": "tanishuu/titanic", "kernel_id": "35932693"}, {"ref": "hebamohamedsalah/notebookf7976f8f9e", "kernel_id": "35939971"}, {"ref": "kensay/titanic", "kernel_id": "35991595"}, {"ref": "zitaotang/getting-started-with-titanic", "kernel_id": "35962514"}, {"ref": "scheemalapati/titanic-sc", "kernel_id": "36252029"}, {"ref": "fanjum/first-kg-nb", "kernel_id": "36596107"}, {"ref": "scottyiu/basic-titanic", "kernel_id": "36252970"}, {"ref": "scottyiu/basic-titanic-2", "kernel_id": "36253691"}, {"ref": "gpreda/titanic-start-of-a-journey-around-data-world", "kernel_id": "36750499"}, {"ref": "vedattumen/simple-nn-with-python-multi-layer-perceptron", "kernel_id": "36496440"}, {"ref": "pyim59/titanic-ecpk-2023-py", "kernel_id": "36318057"}, {"ref": "jessepinkman21/notebookdad2995758", "kernel_id": "36272230"}, {"ref": "jessepinkman21/my-first-notebook", "kernel_id": "36535411"}, {"ref": "shedai/titanic-end-to-end-crisp-dm", "kernel_id": "36272130"}, {"ref": "shedai/sun-express", "kernel_id": "36353399"}, {"ref": "emphymachine/titanic-sklearn-tutorial", "kernel_id": "36130999"}, {"ref": "selcukcan/da-16-preparing-numeric-data", "kernel_id": "36874069"}, {"ref": "s231644/practicum-20230402-automl", "kernel_id": "36750092"}, {"ref": "karthiksa/karthik-titanic-example", "kernel_id": "36191190"}, {"ref": "zetha82/getting-started-with-titanic", "kernel_id": "36624588"}, {"ref": "samshanmukh/titanic-kaggle", "kernel_id": "36488330"}, {"ref": "mahajanswati01/notebooke68a28dc23", "kernel_id": "36746286"}, {"ref": "kavyavm/getting-started-with-titanic", "kernel_id": "36544947"}, {"ref": "theanhle/lesson-2-binary-classification", "kernel_id": "36511990"}, {"ref": "michaelhalim/machinelearningtraining-michaelhalim", "kernel_id": "36192237"}, {"ref": "kate483/notebook5d710aef5c", "kernel_id": "36073443"}, {"ref": "moemoemoe/titanic-dataset", "kernel_id": "36814397"}, {"ref": "selmanaka/2023-titanic-very-simple-gradient-boost", "kernel_id": "36382072"}, {"ref": "filippietryga/titanic-analysis", "kernel_id": "36775122"}, {"ref": "jaeryong/titanic-machine-learning-from-disaster", "kernel_id": "36636327"}, {"ref": "moonlightkim/getting-started-with-ds-using-titanic-data", "kernel_id": "36872820"}, {"ref": "moonlightkim/titanic-competition-i-try-using-lazypredict", "kernel_id": "36950915"}, {"ref": "dorianpinaud/dorian-pinaud-notebook-titanic", "kernel_id": "36725181"}, {"ref": "arunpurakkatt/adversarial-validation-xgb", "kernel_id": "36607217"}, {"ref": "nyarangamarvin/titanic-notebook", "kernel_id": "36837982"}, {"ref": "olasojiamujo/titanic-eda-ml", "kernel_id": "36566236"}, {"ref": "mmoeller/titanic-exploratory", "kernel_id": "36808519"}, {"ref": "masatakasuzuki/titanic-deep-neural-network-model-pytorch", "kernel_id": "36445835"}, {"ref": "masatakasuzuki/titanic-4-ensemble-methods", "kernel_id": "36326836"}, {"ref": "masatakasuzuki/pytorch-template", "kernel_id": "36625261"}, {"ref": "melihgulum/titanic-eda-feature-engineering", "kernel_id": "36408168"}, {"ref": "celalelver/titanic-competitions-dataset", "kernel_id": "36099595"}, {"ref": "lavagod/titanic-chatgpt-pipeline", "kernel_id": "36863650"}, {"ref": "benjenkins96/titanic-learning-from-disaster", "kernel_id": "36124880"}, {"ref": "omarmohamed8/titanic-secrets-unveiled-a-data-analysis-journey", "kernel_id": "36862155"}, {"ref": "campusx/titanic-2-sample-t-test", "kernel_id": "36929805"}, {"ref": "campusx/titanic-single-sample-t-test", "kernel_id": "36928999"}, {"ref": "campusx/titanic-clt", "kernel_id": "36555887"}, {"ref": "chandradipbanerjee/titanic-problem-using-different-ml-algo", "kernel_id": "36335071"}, {"ref": "faroukkadri/titanic-how-to-score-0-78468", "kernel_id": "36185973"}, {"ref": "jayeshwantsdata/spark-big-data-analysis", "kernel_id": "36759008"}, {"ref": "thitiwat/titanic-with-logistic-regression", "kernel_id": "36266634"}, {"ref": "aidanphelan/titanic-notebook-neural-network-random-forest", "kernel_id": "36567122"}, {"ref": "okanarslan/okan-arslan-titanic-eda", "kernel_id": "36155562"}, {"ref": "rohithmahadevan/support-vector-machine-pca-tutorial-for-beginner", "kernel_id": "36025280"}, {"ref": "apoorvachaudhary/titanic", "kernel_id": "36663199"}, {"ref": "adeelsherazi/exercise-arithmetic-and-variables", "kernel_id": "36281317"}, {"ref": "eyadgk/titanic-complete-analysis-pycaret-modeling", "kernel_id": "36830513"}, {"ref": "franklinshih0617/titanic-tensorflow", "kernel_id": "36894395"}, {"ref": "desalegngeb/dos-and-don-ts-of-data-visualisation-eea", "kernel_id": "36318589"}, {"ref": "faisalislam/notebook45a2e10abe", "kernel_id": "36447661"}, {"ref": "mathersonantonio/notebook7202341230", "kernel_id": "36945084"}, {"ref": "liamjameson/titanic-notebook", "kernel_id": "36258851"}, {"ref": "swapnilpatil205/predict-titanic-survival-classification-complete", "kernel_id": "36368961"}, {"ref": "souzaesilvagabriel/ico-gabriel-souza-titanic", "kernel_id": "36012402"}, {"ref": "manishatankasala/exercise-arithmetic-and-variables", "kernel_id": "36413569"}, {"ref": "anas123siddiqui/central-limit-theorem", "kernel_id": "36758652"}, {"ref": "anas123siddiqui/central-limit-theorem-and-confidence-interval", "kernel_id": "36833235"}, {"ref": "anas123siddiqui/single-sample-t-test-on-titanic", "kernel_id": "36999774"}, {"ref": "dada07sahassawadee/exercise-arithmetic-and-variables", "kernel_id": "36854955"}, {"ref": "pranavsh7/titanic-data-modelling", "kernel_id": "36206254"}, {"ref": "antukumar/titanic-dataset-analysis", "kernel_id": "36787905"}, {"ref": "fikriabdillah98/analyze-titanic-problems", "kernel_id": "36790381"}, {"ref": "yashicasaun/titanic-dataset", "kernel_id": "36159249"}, {"ref": "hodafaja/titanic-challenge", "kernel_id": "36720751"}, {"ref": "abhiramashok/reference-notebook-for-titanic", "kernel_id": "36636365"}, {"ref": "ericwang1011/titanic-using-libfm-to-achieve-0-81-accurarcy", "kernel_id": "36529686"}, {"ref": "leeikgyu/skku-ai", "kernel_id": "36168097"}, {"ref": "alpseyma/my-titanic-competitions-tutorial", "kernel_id": "36369282"}, {"ref": "voidlessvoid01/randomforest-and-easy-pipeline-vs-titanic", "kernel_id": "36517292"}, {"ref": "harshavarmax/drills-book", "kernel_id": "36468118"}, {"ref": "juansifontez/exercise-arithmetic-and-variables", "kernel_id": "36594929"}, {"ref": "rohan843/chs-data-visualization-with-r", "kernel_id": "36130921"}, {"ref": "gamzac/titanic-machine-learning", "kernel_id": "36222818"}, {"ref": "elstuhnlol/forward-forward-algorithm-implementation", "kernel_id": "36244052"}, {"ref": "luthfiarfiansyah/notebook-for-titanic", "kernel_id": "36195789"}, {"ref": "hippolyteinthivong/titanic-v2", "kernel_id": "36150697"}, {"ref": "andrealunch/machine-learning-from-titanic-votingclassifier", "kernel_id": "36153637"}, {"ref": "pablocarb/notebookd1f6c90a89", "kernel_id": "36640997"}, {"ref": "chrysellemancenido/titanic-dataset-entry", "kernel_id": "36231012"}, {"ref": "ylwfedsdc/titanic-notebook", "kernel_id": "36093636"}, {"ref": "ylwfedsdc/titantic-all-models", "kernel_id": "36125928"}, {"ref": "yeoneungjun/titanic-analytics", "kernel_id": "36090224"}, {"ref": "jocelyndumlao/titanic-tutorial", "kernel_id": "36946664"}, {"ref": "tetsutani/titanic-eda-13models-ensemble-using-optuna", "kernel_id": "36616454"}, {"ref": "rhythmcam/pandas-basic-devide-columns-by-type", "kernel_id": "36947888"}, {"ref": "rhythmcam/simple-tfdf-titanic", "kernel_id": "36946422"}, {"ref": "rhythmcam/convert-to-numeric-data", "kernel_id": "36954784"}, {"ref": "rhythmcam/function-feature-importance", "kernel_id": "36744781"}, {"ref": "rhythmcam/titanic-decisiontree-feature-importance", "kernel_id": "36716355"}, {"ref": "hkroes/brn-titanic-ml-skill-assessment", "kernel_id": "36192782"}, {"ref": "dev523/pyspark-ml-model-for-predicting-titanic-passenger", "kernel_id": "36314891"}, {"ref": "fengqingg/titanic-machine-learning", "kernel_id": "36353990"}, {"ref": "vithikakaran/titanic-survivors-beginner-s-notebook", "kernel_id": "36371834"}, {"ref": "jayasreekandregula/inferential-statistics", "kernel_id": "36944897"}, {"ref": "hugodebarrosaraujo/ico-titanic", "kernel_id": "36044594"}, {"ref": "ahmedgomaa22/titanic-machine-learning-from-disaster", "kernel_id": "36483779"}, {"ref": "saadbouhya/titanic-la2-sb", "kernel_id": "36513650"}, {"ref": "prometheusbrown/getting-started-with-titanic", "kernel_id": "36487536"}, {"ref": "abhishekkishorvaidya/titanic-problem", "kernel_id": "36931153"}, {"ref": "fatmazaher/titanic-analysis-and-make-prediction", "kernel_id": "36892466"}, {"ref": "lucasbensaid/titanic-example-top-10", "kernel_id": "36214142"}, {"ref": "davidjenkins13/basic-machine-learning-titanic-dataset", "kernel_id": "36335640"}, {"ref": "hasibrustaqi/getting-started-with-titanic", "kernel_id": "36613750"}, {"ref": "meetukaur/kaggle-first-project-the-titanic", "kernel_id": "36114447"}, {"ref": "sakshamparashar/titanic-disaster-fatality-prediction", "kernel_id": "36850148"}, {"ref": "causeynot/neural-network-model-titanic", "kernel_id": "36560849"}, {"ref": "dubusantoine/antoine-dubus-titanic", "kernel_id": "36013076"}, {"ref": "remigrasset/titanic-23", "kernel_id": "36013341"}, {"ref": "salomonokn/titanic", "kernel_id": "36012025"}, {"ref": "faizulislam19095/titanic-survival-prediction-logistic-regression", "kernel_id": "36167342"}, {"ref": "vladimirmarchand/titanic-vladimir", "kernel_id": "36013309"}, {"ref": "carlinjurado/titanic-with-xgboost", "kernel_id": "36084842"}, {"ref": "universapphirelotus/titanic-0000", "kernel_id": "36825198"}, {"ref": "sampre/titanic", "kernel_id": "36111756"}, {"ref": "pumkincat/titanic-project-5-models-tuning-with-pca", "kernel_id": "36425894"}, {"ref": "mustafagerme/pandas-100-tricks", "kernel_id": "36119389"}, {"ref": "gabriellagloria/first-competition-titanic-using-neural-network", "kernel_id": "36354441"}, {"ref": "guilhermedemarchi/titanic-competition-v1", "kernel_id": "36740849"}, {"ref": "sebastianvazquez/notebook0b0751aede", "kernel_id": "36046883"}, {"ref": "muhammetcosar/titanik-eda-visualization", "kernel_id": "36314298"}, {"ref": "anushadixit1901/titanic-ptactice", "kernel_id": "36464872"}, {"ref": "jamesberardini/titanic-gaussian-na-ve-bayes", "kernel_id": "36518902"}, {"ref": "jamesberardini/titanic-gaussian-na-ve-bayes-titles-and-scaling", "kernel_id": "36971635"}, {"ref": "pranayakuniyal/titanic-data-expedition", "kernel_id": "36835987"}, {"ref": "simonovaanna/my-titanic-predictions", "kernel_id": "36079124"}, {"ref": "amalrajsingh/exercise-arithmetic-and-variables", "kernel_id": "36624169"}, {"ref": "iniyatj/titanic-survival-prediction", "kernel_id": "36626842"}, {"ref": "smnuruzzaman/titanic-xgb-93-81-with-smote", "kernel_id": "36060631"}, {"ref": "ludwigsaux/notebookc96444c1a9", "kernel_id": "36355836"}, {"ref": "minstuff/titanic", "kernel_id": "36328397"}, {"ref": "nenamalikah/titanic-machine-learning-from-disaster-submission", "kernel_id": "36489146"}, {"ref": "iqmansingh/classification-titanic-dataset-baseline", "kernel_id": "36504432"}, {"ref": "emperorpein/titanic", "kernel_id": "36055364"}, {"ref": "abdelrahmanekhaldi/intro-to-feature-selection", "kernel_id": "36779614"}, {"ref": "smailaar/titanic-competiton", "kernel_id": "36199964"}, {"ref": "tanishqbhosale/notebook5c194a6911", "kernel_id": "36788621"}, {"ref": "bhavyagiri/would-i-survive-the-titanic-disaster-eda-model", "kernel_id": "36109258"}, {"ref": "taraskhamardiuk/getting-the-titanic-started-with-r-2nd-playbook", "kernel_id": "36166494"}, {"ref": "taraskhamardiuk/getting-the-titanic-started-with-r-3rd-playbook", "kernel_id": "36167147"}, {"ref": "taraskhamardiuk/getting-the-titanic-started-with-python", "kernel_id": "36096563"}, {"ref": "taraskhamardiuk/getting-the-titanic-started-with-r-1st-playbook", "kernel_id": "36095381"}, {"ref": "mohimaakter/titanic-disaster-multiple-model", "kernel_id": "36837877"}, {"ref": "ayushs9020/function-transformers-from-scratch-in-python", "kernel_id": "36742596"}, {"ref": "nameissakthi/titanic-dataset-close-to-80-accuracy", "kernel_id": "36841598"}, {"ref": "lancelot03/random-forest-with-optuna-vs-normal-random-forest", "kernel_id": "36428122"}, {"ref": "berniceakinwande/titanic-data-analysis", "kernel_id": "36208952"}, {"ref": "uuryrmez/titanic-2-0", "kernel_id": "36950987"}, {"ref": "rizkiaditya/titanic", "kernel_id": "36591014"}, {"ref": "oscarrick/draft1", "kernel_id": "36951632"}, {"ref": "anmol03kumar/titanic-prediction-using-logistic-regression", "kernel_id": "36587949"}, {"ref": "rahulpatra7/notebook86a72ccce3", "kernel_id": "36310191"}, {"ref": "timmymiller2/model-creation-to-predict-titanic-survivors", "kernel_id": "36939683"}, {"ref": "mkebiclioglu/titanic-survival-prediction", "kernel_id": "36973757"}, {"ref": "igorsorochan/titanic-smart-filling-with-comprehensive-comments", "kernel_id": "36874681"}, {"ref": "ayahazem6103/titanic-classification-task", "kernel_id": "36129023"}, {"ref": "kapturovalexander/kapturov-s-titanic-ml-from-disaster", "kernel_id": "36105770"}, {"ref": "subhajeetdas/titanic-survival-prediction", "kernel_id": "36816316"}, {"ref": "joycetaoyu/titanic", "kernel_id": "36984644"}, {"ref": "rakbad/titanic-eda", "kernel_id": "36993182"}, {"ref": "glavianhcastelino/titanic-submission", "kernel_id": "36233348"}, {"ref": "samandarxamidov/titanic-eda-classifier-prediction", "kernel_id": "36014738"}, {"ref": "sertanakkus/titanic", "kernel_id": "36418109"}, {"ref": "albertansahbenson/notebookf5da322da8", "kernel_id": "36306009"}, {"ref": "medaminechadli/titanic", "kernel_id": "36045012"}, {"ref": "mona729/super-simple-baseline", "kernel_id": "36147105"}, {"ref": "eliasallegaert/titanic-randomforrest-improved", "kernel_id": "36158059"}, {"ref": "vissapragadasandeep/titanic-2", "kernel_id": "36956208"}, {"ref": "adrianbadjideh/titanic-survivor-gemastik-team", "kernel_id": "36207137"}, {"ref": "akshatraj26/survived-on-titanic-using-xgboost-classifier", "kernel_id": "36297475"}, {"ref": "geojaimo/titanic-machine-learning-from-disaster", "kernel_id": "36388202"}, {"ref": "crocuta/randomforesttitanic", "kernel_id": "36239139"}, {"ref": "manishgurjar/notebookc6cb441139", "kernel_id": "36427910"}, {"ref": "kerwintsai2000/titanic-ecpk-evan-2023", "kernel_id": "36318271"}, {"ref": "mahmoud2620/titanic-ml-with-logistic-regression-and-rf", "kernel_id": "36169954"}, {"ref": "pepsiyoung911/titanic", "kernel_id": "36106473"}, {"ref": "ibabarx/titanic", "kernel_id": "36356322"}, {"ref": "ayushjha7/titanic-survival", "kernel_id": "36697427"}, {"ref": "deepaksharma011/notebook80529706e7", "kernel_id": "36015618"}, {"ref": "barisyagmur/yagmur-titanic-eda-deneme", "kernel_id": "36590146"}, {"ref": "kingsannarayana/titanic-competition", "kernel_id": "36027495"}, {"ref": "cybersimar08/titanic", "kernel_id": "36849981"}, {"ref": "pankajdeora/case-study-1-titanic-fare", "kernel_id": "36640141"}, {"ref": "fabianbertrand/r-assignment", "kernel_id": "36047762"}, {"ref": "abdellahchioua/chioua-lamsaoub-titanic", "kernel_id": "36044959"}, {"ref": "prabinsharmaa/titanic-survived-prediction", "kernel_id": "36393616"}, {"ref": "alexanderpov/machine-learning-3-modelo-do-nias-ia", "kernel_id": "36825271"}, {"ref": "alexanderpov/machine-learning-5-modelo", "kernel_id": "36648991"}, {"ref": "abdelrahmanelnabawy/superlearner-ensemble-stacking-top-10", "kernel_id": "36825211"}, {"ref": "coderserwin/titanic", "kernel_id": "36320714"}, {"ref": "giftchimangeni/titanic-machine-learning-from-disaster", "kernel_id": "36657450"}, {"ref": "alvinmanojalex/titanic-random-forest-with-optuna", "kernel_id": "36139976"}, {"ref": "jeffreycrawford/titanic-project-eda-python", "kernel_id": "36047302"}, {"ref": "auxeno/titanic-eda-and-analysis-ds", "kernel_id": "36648681"}, {"ref": "mukulsharma877/titanic-catboost-gridsearchcv", "kernel_id": "36401365"}, {"ref": "ayushisharma23/titanic-model-training-with-catboost", "kernel_id": "36427090"}, {"ref": "piquenopadawan/notebook3008965c43-1affac", "kernel_id": "36827705"}, {"ref": "emadbazmandegan/titanic-survival-using-logistic-regression", "kernel_id": "36087656"}, {"ref": "chetantalele/firstcompetition", "kernel_id": "36718757"}, {"ref": "burakkoktay/feature-engineering-progress-titanic", "kernel_id": "36658631"}, {"ref": "douglassilvateixeira/titanic-machine-learning-from-disaster", "kernel_id": "36259179"}, {"ref": "ahmedmsaber/titanic-predictions-with-logisticregression", "kernel_id": "36430898"}, {"ref": "rafiromolo/titanic-disaster-using-randomforestclassifier", "kernel_id": "36070610"}, {"ref": "maurojara1/titanic-g8", "kernel_id": "36048794"}, {"ref": "ashx010/titanic-with-pipeline-and-gridsearchcv", "kernel_id": "36405344"}, {"ref": "kavishreeps/titanic-data", "kernel_id": "36550992"}, {"ref": "jamessdev/titanic-disaster-eda", "kernel_id": "36119612"}, {"ref": "darpan00720/titanic-solution-using-random-forest-tool-r", "kernel_id": "36428298"}, {"ref": "iabdulw/why-you-should-use-a-framework", "kernel_id": "36304207"}, {"ref": "iabdulw/how-random-forests-really-work", "kernel_id": "36451032"}, {"ref": "tejasvichaturvedi/titanic-ml", "kernel_id": "36379304"}, {"ref": "tejasvichaturvedi/titanic-dataset", "kernel_id": "36354344"}, {"ref": "manueldlabra/titanic-with-voting-system-and-xgboost", "kernel_id": "36309939"}, {"ref": "mohamedwasef/survival-or-death", "kernel_id": "36159598"}, {"ref": "upworkjob/titanic-analysis-prediction", "kernel_id": "36563853"}, {"ref": "pujanchitalia25/titanic-85-5", "kernel_id": "36055710"}, {"ref": "nordwaters/titanic-catboost-with-preprocessors", "kernel_id": "36285376"}, {"ref": "alipythondev/test-run", "kernel_id": "36389728"}, {"ref": "ssankarr/titanic-disaster-survived", "kernel_id": "36841597"}, {"ref": "shreyashjaiswalshrey/titanic-ml-prediction", "kernel_id": "36796384"}, {"ref": "ahmedelsharkaw/simple-titanic-classification", "kernel_id": "36454485"}, {"ref": "rafaeldsn/titanic-ml-competition", "kernel_id": "36157233"}, {"ref": "mokshithamandadi/titanic-ml-from-disaster", "kernel_id": "36758982"}, {"ref": "abdelruhmanessam/titanic", "kernel_id": "36564659"}, {"ref": "choiut/is-it-better-baysian-hyperparameter-tuning", "kernel_id": "36169738"}, {"ref": "a0121543/mna-titanic", "kernel_id": "36603002"}, {"ref": "adamsoja/titanic", "kernel_id": "36929882"}, {"ref": "nihitkumar21/logisti", "kernel_id": "36478737"}, {"ref": "tabishak/notebook764191f9b1", "kernel_id": "36312778"}, {"ref": "muazzamali99/titanic-step-by-step-explanation-3-classifiers", "kernel_id": "36454556"}, {"ref": "erengrmezolu/titanic-classifier", "kernel_id": "36036824"}, {"ref": "abdulhamitcelik/titanic-with-logistic-regression", "kernel_id": "36253681"}, {"ref": "rishabh14812/titanic-machine-learning", "kernel_id": "36321565"}, {"ref": "rahmaesam/notebookfd62eb9e5c", "kernel_id": "36552350"}, {"ref": "micaeld/titanic-survival-prediction-gradientboosting", "kernel_id": "36116134"}, {"ref": "vikramshankar18/vikram-titanic", "kernel_id": "36552391"}, {"ref": "meetkotadiya173/titanic-dataset", "kernel_id": "36917173"}, {"ref": "mhsngrd/titanic-survival-prediction", "kernel_id": "36541448"}, {"ref": "laraiki/bl-getting-started-with-titanic", "kernel_id": "36275247"}, {"ref": "farshidhossain/titanic-as-beginners", "kernel_id": "36357215"}, {"ref": "damathajorisaxel/titanic-ml-prediction", "kernel_id": "36546968"}, {"ref": "aleksanderciesielski/titanic-disaster-ml", "kernel_id": "36278460"}, {"ref": "surenvayradyan/top-1-realscores-vayradyan-s-titanic", "kernel_id": "36506082"}, {"ref": "leejhn/notebook92385ba16d", "kernel_id": "36932511"}, {"ref": "jeevabharathis/titanic-prediction-using-decisiontree-classifier", "kernel_id": "36321490"}, {"ref": "wissams/titanic-competition-step-by-step-using-xgboost", "kernel_id": "36655561"}, {"ref": "yasinkaratay4/titanic-notebook", "kernel_id": "36809309"}, {"ref": "saiabhirampothini/notebook924b026581", "kernel_id": "36589582"}, {"ref": "iliyapavlov/titanic-09-logist-scale", "kernel_id": "36925227"}, {"ref": "aman1211maan/r-program", "kernel_id": "36132451"}, {"ref": "tefamod22/different-techniques-on-titanic-dataset", "kernel_id": "36258057"}, {"ref": "pradeepsapparapu/titanic-tutorial-complete", "kernel_id": "36661477"}, {"ref": "abdullahsarbatur/my-first-kaggle-notebook", "kernel_id": "36486352"}, {"ref": "kaancokun/titanicsubmission", "kernel_id": "36855111"}, {"ref": "metehangzel/titanic-eda-step-by-step", "kernel_id": "36526503"}, {"ref": "loraoswald/titanic", "kernel_id": "36836629"}, {"ref": "justin20798/titanic-project", "kernel_id": "36476539"}, {"ref": "heewonyoo/titanic-classification-deeplearning", "kernel_id": "36502255"}, {"ref": "vladimirwlr/titanic-competition-notebook", "kernel_id": "36224862"}, {"ref": "swatithakur17/titanic-dataset", "kernel_id": "36152370"}, {"ref": "shaikhabdulrafay03/titanic", "kernel_id": "36229858"}, {"ref": "yuazheng/titanic", "kernel_id": "36566396"}, {"ref": "rachidhssinne/notebook0721af2df1", "kernel_id": "36726820"}, {"ref": "yusuf03/project-titanic", "kernel_id": "36215484"}, {"ref": "hseyinkalkan/datascience-titanic", "kernel_id": "36903208"}, {"ref": "siuyuenkevinchow/titanic-prediction-model", "kernel_id": "36270534"}, {"ref": "maryanalyze/lightgbm-tune-hyperparameters-to-prevent-overfit", "kernel_id": "36687049"}, {"ref": "neupane9sujal/titanic-survialprediction-cross-val-score-0-83", "kernel_id": "36613846"}, {"ref": "guilhermeacorsi/titanic-eda-and-prediction-77-7-acc", "kernel_id": "36077428"}, {"ref": "ritikamalik2002/titanic-ml-project", "kernel_id": "36790868"}, {"ref": "nandini1007/titanic-survival-predictions", "kernel_id": "36919041"}, {"ref": "themrityunjaypathak/titanic-survival-prediction", "kernel_id": "36458407"}, {"ref": "maximedenis/titanic-random-forrest", "kernel_id": "36291273"}, {"ref": "tsimafeistambrouski/titanic-dataset", "kernel_id": "36903936"}, {"ref": "dishaasinghi/titanic-beginner-friendly", "kernel_id": "36552604"}, {"ref": "vanthanadevi08/titanic-using-svm-and-random-forest", "kernel_id": "36326581"}, {"ref": "donka1992/first-notebook", "kernel_id": "36555051"}, {"ref": "viyonvinoy/titanic-case-analysis", "kernel_id": "36390068"}, {"ref": "sathiyaak/titanic-using-logistic-regression", "kernel_id": "36329854"}, {"ref": "kemalmaolana/titanic-naive-bayes", "kernel_id": "36052044"}, {"ref": "white2106/titanic-espa-ol", "kernel_id": "36220100"}, {"ref": "micaic02/titantic", "kernel_id": "36303333"}, {"ref": "gerryzani/titanic-competition-using-r-newbie-approach", "kernel_id": "36273530"}, {"ref": "csanskriti/titanic-baseline", "kernel_id": "36774784"}, {"ref": "wandersonclayton/titanic-score-0-7416-logistic-regression", "kernel_id": "36016401"}, {"ref": "himanshusinghal19/titanic", "kernel_id": "36840846"}, {"ref": "mateuszk013/titanic-visual-eda-with-insights", "kernel_id": "36181008"}, {"ref": "mateuszk013/titanic-machine-learning-with-insights", "kernel_id": "36384725"}, {"ref": "joaovictor019/getting-started-with-titanic", "kernel_id": "36068712"}, {"ref": "mustaphaslimani/titanic-machine-learning-from-disaster", "kernel_id": "36564636"}, {"ref": "minhkchau/machine-learning-with-r-titanic", "kernel_id": "36305198"}, {"ref": "haditajari/predicting-titanic-survivors-with-ml", "kernel_id": "36037074"}, {"ref": "quntaaigarvil79/titanic-predictions", "kernel_id": "36252082"}, {"ref": "serdarsozturk/titanic-analysis", "kernel_id": "36708588"}, {"ref": "aishwaryalaxminethi/titanic-dataset-logistic-regression", "kernel_id": "36071471"}, {"ref": "lrpan12/titanic-classifier", "kernel_id": "36733842"}, {"ref": "anjusukumaran4/data-analysis-using-pivot-tables", "kernel_id": "36407992"}, {"ref": "yyazidd/titanic-competition-xgboost", "kernel_id": "36417474"}, {"ref": "bioxes/fastai-tutorial-detailed", "kernel_id": "36075101"}, {"ref": "mertkacir/homework3-caner-zcan", "kernel_id": "36139005"}, {"ref": "oswinzenda/titanic-swag", "kernel_id": "36449830"}, {"ref": "ghanihaider/kaggle-titanic-dataset-submission-gh", "kernel_id": "36164862"}, {"ref": "farhankalam/titanic-competition-final-farhan", "kernel_id": "36109233"}, {"ref": "lucasrathgeb/titanic-xgboost", "kernel_id": "36680051"}, {"ref": "kornelrakowski/titanic", "kernel_id": "36220586"}, {"ref": "tnguynfew/titani", "kernel_id": "36347417"}, {"ref": "adriennebosch/fork-of-titanic-survival-predictions-v2", "kernel_id": "36019697"}, {"ref": "nikhilgoud05/titanic-survival", "kernel_id": "36830398"}, {"ref": "durvalslompojunior/titanic-random-forest-tutorial", "kernel_id": "36505227"}, {"ref": "deeponur/titanic-eda", "kernel_id": "36134432"}, {"ref": "konstantinsamolinov/another-three-questions-from-depths-of-atlantic", "kernel_id": "36723363"}, {"ref": "jeesantony01/titanic", "kernel_id": "36023794"}, {"ref": "bradyfisher27/machine-learning-titanic-project", "kernel_id": "36868062"}, {"ref": "shubhamkokila/my-first-model-titanic", "kernel_id": "36087776"}, {"ref": "mocaaoba/titanic-summary", "kernel_id": "36108537"}, {"ref": "harshadajedhe88/titanic-solution", "kernel_id": "36580668"}, {"ref": "samtimothy/notebook3415851038", "kernel_id": "36820642"}, {"ref": "sshrutiharma/notebook3c8be8eaf2", "kernel_id": "36604738"}, {"ref": "jzestone/titanic", "kernel_id": "36604645"}, {"ref": "boohdaaaan/titanic-xgboost-random-forest", "kernel_id": "36182492"}, {"ref": "denisacrisan/titanic-competition", "kernel_id": "36509104"}, {"ref": "beomsulee/getting-started-with-titanic", "kernel_id": "36245786"}, {"ref": "atrlkwqr/exercise-titanic", "kernel_id": "36199287"}, {"ref": "andreynesterov/titanic-predictions", "kernel_id": "36115937"}, {"ref": "tengluoxiyue/titanic-eda-catboost", "kernel_id": "36364650"}, {"ref": "vaishnavisirigiri/getting-started-with-titanic", "kernel_id": "36786113"}, {"ref": "bishwajitdas/exercise-arithmetic-and-variables", "kernel_id": "36249657"}, {"ref": "joseph1777/titanic-85-5", "kernel_id": "36397155"}, {"ref": "zibadelavari/titanic-learning-from-disaster", "kernel_id": "36145636"}, {"ref": "grantoganyan/titanic-task-8", "kernel_id": "36807173"}, {"ref": "ashmirabhosale/notebook3c2b0bfc18", "kernel_id": "36865979"}, {"ref": "yonathankidanemariam/first-kg-nb", "kernel_id": "36604868"}, {"ref": "jacobzheng/getting-started-with-titanic", "kernel_id": "36982440"}, {"ref": "jiejiea/titanic-machine-learning-from-disaster", "kernel_id": "36919275"}, {"ref": "osmannuriger/titanic-data-science", "kernel_id": "36836640"}, {"ref": "alexanderskachkov/three-questions-from-depths-of-atlantic", "kernel_id": "36723376"}, {"ref": "edwardbritodiaz/titanic-tutorial", "kernel_id": "36337821"}, {"ref": "dreygaen/titanic-eda-and-prediction-0-78229", "kernel_id": "36256859"}, {"ref": "dreygaen/titanic-top-1-with-knn-0-81818", "kernel_id": "36670026"}, {"ref": "tmkartikeypillay/beginner-friendly-titanic-lr", "kernel_id": "36456852"}, {"ref": "laurelenemarquilly/titanic", "kernel_id": "36068590"}, {"ref": "ftonka/titanic-eda", "kernel_id": "36824096"}, {"ref": "rafaelcuntofilho/titanic-teste", "kernel_id": "36738293"}, {"ref": "retnoagussetiawan/titanic-disaster-classification-beginner", "kernel_id": "36578495"}, {"ref": "ksaravanapandian/titanic-dataset-using-ml-classification", "kernel_id": "36099162"}, {"ref": "sorennn/practice-eda-1-titanic-dataset", "kernel_id": "36508446"}, {"ref": "amalyasser/taitanic-eda-with-ml", "kernel_id": "36224608"}, {"ref": "almuatasemalshebak/data-science-week-3", "kernel_id": "36123298"}, {"ref": "butorinvasiliy/notebook-titanic", "kernel_id": "36525317"}, {"ref": "butorinvasiliy/notebook-1-titanic-1", "kernel_id": "36526561"}, {"ref": "fatmaelraey/titanic-data-science-solutions", "kernel_id": "36439010"}, {"ref": "chatterjeetk8/titanic-passenger-survival", "kernel_id": "36589971"}, {"ref": "abdulkadirbinan/hafta3-datascience", "kernel_id": "36124923"}, {"ref": "muharremaslan/week3", "kernel_id": "36155355"}, {"ref": "nisreenbouta/data-science-week3", "kernel_id": "36146343"}, {"ref": "ebruozdemir/datascience-week3", "kernel_id": "36154309"}, {"ref": "okoloboga/titanic-dense-nn", "kernel_id": "36028016"}, {"ref": "danttis/estatistica-descritiva-titanic", "kernel_id": "36212422"}, {"ref": "allanpereirafenelon/computational-statistics", "kernel_id": "36187536"}, {"ref": "allanpereirafenelon/ec-bayesian-network-model", "kernel_id": "36686782"}, {"ref": "gulcanozell/datascience-week3", "kernel_id": "36174926"}, {"ref": "iremsonmezgul/exploratory-data-analysis-and-visualization", "kernel_id": "36159657"}, {"ref": "hamzaaloglu/titanic", "kernel_id": "36197159"}, {"ref": "johneddison/notebook48cfe2a3eb", "kernel_id": "36904835"}, {"ref": "somra1/zhang-weijian-2020210035", "kernel_id": "36210181"}, {"ref": "savetherainbow/titanic", "kernel_id": "36460051"}, {"ref": "ridaaitmouna/titanic3", "kernel_id": "36097212"}, {"ref": "ridaaitmouna/titanic", "kernel_id": "36106528"}, {"ref": "hamzaibenjellal/notebooka61bf14b57", "kernel_id": "36012199"}, {"ref": "gmvdln/notebook-titanic", "kernel_id": "36012001"}, {"ref": "jderbysh/titanic", "kernel_id": "36189509"}, {"ref": "clemence2ecpkn/cl-mence-titanic-ecpk-2023-py", "kernel_id": "36318055"}, {"ref": "ryan0089/ryan-ecpk-2023-cours3-titanic", "kernel_id": "36318102"}, {"ref": "stevensunhanlin/titanic-steven-ecpk2023", "kernel_id": "36363685"}, {"ref": "florienthuang/notebookf8692ef7b9", "kernel_id": "36389146"}, {"ref": "yuanbinwang/titanic-ecpk-2023-joey", "kernel_id": "36318061"}, {"ref": "vishnuprasadmm/titanic-eda-and-survival-prediction", "kernel_id": "36061670"}, {"ref": "mickaelzhao/titanic-mickael", "kernel_id": "36318075"}, {"ref": "josephzhouyafeng/titanic-ecpk-2023-joseph", "kernel_id": "36318068"}, {"ref": "emmazqh/titanic-ecpk-2023-emma", "kernel_id": "36318189"}, {"ref": "theozhabghanqing/theo-titanic-ecpk-2023", "kernel_id": "36318005"}, {"ref": "irisyangxinyi/iris-zy2224119-cours-3-2", "kernel_id": "36318054"}, {"ref": "johannahuangqian/titanic", "kernel_id": "36318026"}, {"ref": "ecpkneoji/c3-titanic", "kernel_id": "36318139"}, {"ref": "donatienm/titanic-ecpk-py-donatien", "kernel_id": "36318049"}, {"ref": "zhouhand/cours3-titanic", "kernel_id": "36318238"}, {"ref": "yasmineyangsimiao/yasmine-cours3-2", "kernel_id": "36318201"}, {"ref": "waterswimming/dorian-titanic-cours3-2-ecpk-2023", "kernel_id": "36391302"}, {"ref": "katarzynawilk/did-they-survive-titanic", "kernel_id": "36079542"}, {"ref": "eliasxu/titanic-deep-learning", "kernel_id": "36940957"}, {"ref": "alekseyzvagolskii/my-first-notebook", "kernel_id": "36257755"}, {"ref": "ansarserikbay/exercise-arithmetic-and-variables", "kernel_id": "36840442"}, {"ref": "shubhamzoro/titanic-disaster", "kernel_id": "36053159"}, {"ref": "jllearning/xgboost-titanic-81-on-test-data-tensorflow", "kernel_id": "36026189"}, {"ref": "jmanuelzurdorodrguez/titanic-first-attempt", "kernel_id": "36083200"}, {"ref": "zerloth/titanic-prediction-using-catboost", "kernel_id": "36998554"}, {"ref": "taiga1404/notebooka4afb355b2", "kernel_id": "36088647"}, {"ref": "ruoqihuang1108/titanic-ruoqi", "kernel_id": "36944412"}, {"ref": "jeongmok/titanic-1", "kernel_id": "36631081"}, {"ref": "wzcitan/taho-titanic-ecpk-2023", "kernel_id": "36366490"}, {"ref": "zhenghaosong/notebook5e7404ba22", "kernel_id": "36318128"}, {"ref": "nyukilelmet/exercise-arithmetic-and-variables", "kernel_id": "36144078"}, {"ref": "myksdkl/titanic-20230322", "kernel_id": "36315849"}, {"ref": "minjin9384/notebook8c807714d8", "kernel_id": "36167038"}, {"ref": "tishyasengupta/my-first-project-titanic", "kernel_id": "36351878"}, {"ref": "pereprosov/titanic-randomforest", "kernel_id": "36469670"}, {"ref": "rxshark/titanic-machine-learning-from-disaster-draft", "kernel_id": "36385075"}, {"ref": "aryan96sharma/titanic-machine-learning-with-eda", "kernel_id": "36833556"}, {"ref": "jarvisyip12/my-first-notebook", "kernel_id": "36404808"}, {"ref": "timzhang1221/titanic-v2", "kernel_id": "36977638"}, {"ref": "anjalibansal14/titanic-dataset", "kernel_id": "36833495"}, {"ref": "muhammadibraheem7301/ibraheem-titanic", "kernel_id": "36998433"}, {"ref": "muhammadibraheem7301/exercise-arithmetic-and-variables", "kernel_id": "36482653"}, {"ref": "bickykumarsingh/titanic-disaster", "kernel_id": "36310520"}, {"ref": "lameiragaspar/titanic-lr-and-rfc-1stnb", "kernel_id": "36328559"}, {"ref": "lukaszgluck/titanic", "kernel_id": "36365075"}, {"ref": "kiankii/titanic-competitation", "kernel_id": "36932231"}, {"ref": "isaberkgeriler/exercise-arithmetic-and-variables", "kernel_id": "36318176"}, {"ref": "isaberkgeriler/getting-started-with-titanic-isa-geriler", "kernel_id": "36319138"}, {"ref": "szilvf/titanic-competition-submission", "kernel_id": "36661781"}, {"ref": "yihaoqiao/getting-started-titanic", "kernel_id": "36366807"}, {"ref": "rohank100/titanic-exercise", "kernel_id": "36931306"}, {"ref": "rahmakallel/titanic-notebook", "kernel_id": "36367028"}, {"ref": "jc4214/titanic-tutorial", "kernel_id": "36380942"}, {"ref": "lirongo/tar1-titanic", "kernel_id": "36358444"}, {"ref": "ocanepouilly/la2-2023-titanic-op", "kernel_id": "36513674"}, {"ref": "lorthioirthomas/titanic-thomas-lorthioir", "kernel_id": "36513679"}, {"ref": "mouadsadik/la2-titanic-mouad", "kernel_id": "36513662"}, {"ref": "vincentgengembre/exo-titanic-tp", "kernel_id": "36852131"}, {"ref": "mathieumaes/la2-2023-titanic-mm", "kernel_id": "36513682"}, {"ref": "mathieulareu/la2-2023-titanic-lm", "kernel_id": "36513669"}, {"ref": "aleclercq/partie-2-titanic", "kernel_id": "36513726"}, {"ref": "pedritow/la2-2023-titanic-ph", "kernel_id": "36850787"}, {"ref": "walidmoudden/titanic-wm-la2", "kernel_id": "36936130"}, {"ref": "basilechevalier/basilec-titanic", "kernel_id": "36943863"}, {"ref": "galashkenazi/ml-assignment-1-gal-ashekenazi", "kernel_id": "36433234"}, {"ref": "kanabc/titanic-kan-abc", "kernel_id": "36438941"}, {"ref": "anajakghf/notebook87606e2160", "kernel_id": "36374754"}, {"ref": "thoduchamps/titanic-la2-2023-th-o-duchamps", "kernel_id": "36513778"}, {"ref": "sanketdpawar/titanic-dataset", "kernel_id": "36963029"}, {"ref": "luisotaviof/titanic", "kernel_id": "36426023"}, {"ref": "setiahimanshu/titanic-solution-using-random-forest-tool-r", "kernel_id": "36428299"}, {"ref": "aprikot07/first-prediction", "kernel_id": "36961787"}, {"ref": "olibergs/titanic-prediction-using-adaptive-boost-classifier", "kernel_id": "36995193"}, {"ref": "shu1717/notebook4474e78f75", "kernel_id": "36485849"}, {"ref": "pierremarquet/notebook-pierre-marquet-dylan-gil-amaro", "kernel_id": "36616163"}, {"ref": "maximeregnault/maximer-maroine-titanic-machine-learning", "kernel_id": "36615862"}, {"ref": "massirtour/notebookd4918b299c", "kernel_id": "36615987"}, {"ref": "horon12345/titanic", "kernel_id": "36607159"}, {"ref": "w0ldemar/notebook1a253794eb", "kernel_id": "36583543"}, {"ref": "pgunhee/titanic-notebook", "kernel_id": "36899203"}, {"ref": "samir2249/titanicsurvivalprediction", "kernel_id": "36576024"}, {"ref": "wyndham/lil-bad-bleep-titanic-notebook", "kernel_id": "36571984"}, {"ref": "blazes/titanic-problem", "kernel_id": "36581628"}, {"ref": "simonechers/titanic", "kernel_id": "36602995"}, {"ref": "uma18306/first-kg-nb", "kernel_id": "36821266"}, {"ref": "shubhrasharma10/notebook678553ea2e", "kernel_id": "36604691"}, {"ref": "shubhrasharma10/notebookf0dd48fc93", "kernel_id": "36867570"}, {"ref": "stephenpauladithela/notebook92bc000b22", "kernel_id": "36862572"}, {"ref": "samiahmed12/titanic-notebook", "kernel_id": "36659754"}, {"ref": "rfeng12/pipeline-and-cross-validation", "kernel_id": "36900920"}, {"ref": "miichaaeel/titanic-eda-and-prediction", "kernel_id": "36819761"}, {"ref": "naojiroueno/titanic", "kernel_id": "36806260"}, {"ref": "viacontinental31/notebook441c0078d3", "kernel_id": "36667580"}, {"ref": "kaustavsingharoy/high-performance-titanic-solution", "kernel_id": "36837166"}, {"ref": "woerhong/niu-bi-tai-tan-ni-ke-dai-ma", "kernel_id": "36753261"}, {"ref": "rn86222/notebook3af43269d9", "kernel_id": "36725663"}, {"ref": "felipeliskepandando/titanic-beedata-time5", "kernel_id": "36730933"}, {"ref": "asl129408/notebook2a94736094", "kernel_id": "36733603"}, {"ref": "danielgomezdominguez/let-autokeras-selects-the-model-for-you", "kernel_id": "36800305"}, {"ref": "rvf678/titanic-my-first-kaggle-competiton", "kernel_id": "36927189"}, {"ref": "callmerk/titanic-sinking", "kernel_id": "36827330"}, {"ref": "bogeonk/notebook95967144f2", "kernel_id": "36831295"}, {"ref": "ahmethakanyldz/notebook4120922016", "kernel_id": "36861046"}, {"ref": "sdurka/titanic-sd", "kernel_id": "36856707"}, {"ref": "shadimoustafa/titanic-note-shadi", "kernel_id": "36867058"}, {"ref": "bhargavkalluri95/first-kg-nb-bkalluri", "kernel_id": "36867616"}, {"ref": "loke264/notebook875e85caf8", "kernel_id": "36873508"}, {"ref": "barmoshe/barmoshe-206921777-titanic-hw1", "kernel_id": "36885389"}, {"ref": "minbyeongsu/tackle-the-titanic-dataset", "kernel_id": "36953212"}, {"ref": "zziggu/titanic", "kernel_id": "36908227"}, {"ref": "faysal1998/exercise-arithmetic-and-variables", "kernel_id": "36912612"}, {"ref": "cosmosjung/titanic-tutorial", "kernel_id": "36914738"}, {"ref": "jungjaehyeong/notebook43274e6c17", "kernel_id": "36915961"}, {"ref": "jungjaehyeong/fork-of", "kernel_id": "36931931"}, {"ref": "chungsim/titanic", "kernel_id": "36956926"}, {"ref": "therepetition/notebook66b41ac19c", "kernel_id": "36961979"}, {"ref": "jiwoongheo/titanic-assignment", "kernel_id": "36948253"}, {"ref": "jeonghaeng/titanic-data-set", "kernel_id": "36966238"}, {"ref": "chihirokomiyama/notebookdcef2d33d4", "kernel_id": "36971604"}, {"ref": "camillesayoc/machine-learning-camille-sayoc", "kernel_id": "36986812"}, {"ref": "rlatndud/titanic-kimsu", "kernel_id": "36988804"}, {"ref": "justinzhang/titanic-justin", "kernel_id": "37955563"}, {"ref": "matthewlane/intro", "kernel_id": "37666511"}, {"ref": "ronifami/getting-started-with-titanic-ronifam", "kernel_id": "37902954"}, {"ref": "farazbukhari0/titanicsurvival", "kernel_id": "37993002"}, {"ref": "jessepinkman21/my-first-notebook-159370", "kernel_id": "37103203"}, {"ref": "jessepinkman21/ticket-prediction", "kernel_id": "37692133"}, {"ref": "zacharykirby/predict-titanic-survivability", "kernel_id": "37332380"}, {"ref": "scatteredflo/kihome-lec2-1-classification-titanic", "kernel_id": "37973494"}, {"ref": "scatteredflo/kihome-lec2-prac-classification-titanic", "kernel_id": "37973613"}, {"ref": "selcukcan/da-17-dealing-with-dates", "kernel_id": "37274351"}, {"ref": "rishabhvijay/surviving-the-titanic", "kernel_id": "37617549"}, {"ref": "ssamiran/artificial-intelligence-503", "kernel_id": "37303177"}, {"ref": "vivek3054/titanic-eda-and-prediction-of-survivors", "kernel_id": "37564372"}, {"ref": "daviddwlee84/titanic-baseline", "kernel_id": "37032784"}, {"ref": "guillaumegm/titanic-data-science-solutions-aa837e", "kernel_id": "37650986"}, {"ref": "makrrc/titanic-bootsman-pathel-feature", "kernel_id": "37465599"}, {"ref": "nevcanuludas/titanic-notebook", "kernel_id": "37665985"}, {"ref": "massimilianofronza/titanic-basic-commands-logistic-regression", "kernel_id": "37778695"}, {"ref": "pveinberg/titanic", "kernel_id": "37414956"}, {"ref": "mtinglof/titanic-notebook-2-0", "kernel_id": "37179738"}, {"ref": "yuzu5531/kaggle-nalgo", "kernel_id": "37054295"}, {"ref": "kunlee21/titanicdataedaensembleprediction", "kernel_id": "37998680"}, {"ref": "naiku007/ai-trainings-dtici23-day2", "kernel_id": "37697170"}, {"ref": "image69of69pie/automated-hyperparameter-tuning", "kernel_id": "37657352"}, {"ref": "lokanathdora/titanic-data-project", "kernel_id": "37455370"}, {"ref": "jpkeeks/titanic-assignment", "kernel_id": "37192577"}, {"ref": "ayushmehra/ayush-titanic-dataset", "kernel_id": "37977621"}, {"ref": "akioonodera/titanic-lgbm-bin", "kernel_id": "37236678"}, {"ref": "hiroshiotagaki/titanic-keras-r-with-ticket-cabin-and-name", "kernel_id": "37099464"}, {"ref": "balupeddireddy/titanic-survival-prediction", "kernel_id": "37891547"}, {"ref": "travisfeldman/titanic-the-only-notebook-you-need-to-see", "kernel_id": "37997628"}, {"ref": "carlosasdesouza/titanic-eda", "kernel_id": "37266809"}, {"ref": "mediabooth/titanic-disaster-ml-used-rf-nb", "kernel_id": "37239720"}, {"ref": "mediabooth/titanic-disaster-ml-challenge", "kernel_id": "37577371"}, {"ref": "namanzelawat/titanic-water", "kernel_id": "37945607"}, {"ref": "muzafferdindar/md-titanik-eda", "kernel_id": "37406526"}, {"ref": "prasadckulkarni/why-you-should-use-a-framework-pk", "kernel_id": "37188253"}, {"ref": "sabinashrestha/first-kg-nb-ss-41023", "kernel_id": "37093332"}, {"ref": "georgiosgiapitzakis/quantum-variational-classifier", "kernel_id": "37355534"}, {"ref": "oybekeraliev/tutorial-titanic-dataset-over-82-accuracy", "kernel_id": "37097225"}, {"ref": "oybekeraliev/titanic-competition-with-catboostclassifier", "kernel_id": "37660419"}, {"ref": "anas123siddiqui/titanic-2-sample-t-test", "kernel_id": "37022784"}, {"ref": "amulyas/statthirdgroup", "kernel_id": "37682663"}, {"ref": "amulyaprasanth/titanic-survival-prediction", "kernel_id": "37767376"}, {"ref": "harvysim/titanic-getting-started-harvy", "kernel_id": "37900882"}, {"ref": "caiogomide/titanic-random-forest", "kernel_id": "37181550"}, {"ref": "alirezaatashnejad/exercise-arithmetic-and-variables", "kernel_id": "37532084"}, {"ref": "oleksiiabdullaiev/laboratory-work-5-identification-of-nn", "kernel_id": "37342890"}, {"ref": "leandrocdelgado/titanic-beedata", "kernel_id": "37932633"}, {"ref": "brunogabriel/notebook-desafio-titanic", "kernel_id": "37524590"}, {"ref": "rever3nd/titanic-dataset-submission", "kernel_id": "37955446"}, {"ref": "rhythmcam/pandas-basic-concat-and-devide-dataframe", "kernel_id": "37970089"}, {"ref": "rhythmcam/python-basic-convert-list-to-map", "kernel_id": "37350173"}, {"ref": "rhythmcam/feature-engineering-types", "kernel_id": "37344746"}, {"ref": "rhythmcam/python-basic-re-split-usage", "kernel_id": "37390776"}, {"ref": "rhythmcam/pandas-basic-standard-deviation-problem", "kernel_id": "37388731"}, {"ref": "rhythmcam/pandas-basic-loc-vs-iloc-usage", "kernel_id": "37419733"}, {"ref": "rhythmcam/pandas-basic-feature-target-point", "kernel_id": "37436474"}, {"ref": "rhythmcam/pandas-basic-feature-target-point-function", "kernel_id": "37480182"}, {"ref": "rhythmcam/predict-using-feature-target-point", "kernel_id": "37523333"}, {"ref": "rhythmcam/pandas-basic-pivot-table-multi-index", "kernel_id": "37236131"}, {"ref": "rhythmcam/pandas-basic-object-column-number-column", "kernel_id": "37093972"}, {"ref": "rhythmcam/pandas-basic-number-column-group", "kernel_id": "37094567"}, {"ref": "rhythmcam/pandas-basic-pivot-table-vs-groupby-function", "kernel_id": "37110619"}, {"ref": "rhythmcam/autopreprocess-titanic", "kernel_id": "37053145"}, {"ref": "jagkrinoprasad/predicting-titanic-disaster-using-cnn", "kernel_id": "37491256"}, {"ref": "shubhamgupta012/titanic-decisiontree", "kernel_id": "37006521"}, {"ref": "leahcimgnik/titanic-using-random-forest", "kernel_id": "37062396"}, {"ref": "rabjotsethi/titanic-machine-learning-notebook-by-rabjot-sethi", "kernel_id": "37225599"}, {"ref": "ferozshaik/notebookb249ef99ea", "kernel_id": "37274743"}, {"ref": "jayasreekandregula/handling-missing-values-eda-part1", "kernel_id": "37797407"}, {"ref": "yeehawww/titanic-competition", "kernel_id": "37897253"}, {"ref": "gusthema/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "37374215"}, {"ref": "patrickneyland/final", "kernel_id": "37727323"}, {"ref": "dominikfreunberger/nepa-techtogether-ml", "kernel_id": "37418641"}, {"ref": "jackrpeabody/cs-4650-project-4-jp", "kernel_id": "37019332"}, {"ref": "mohammadausaf/titanic-eda-level-up", "kernel_id": "37047197"}, {"ref": "boyarkinnikita/titanic-from-scratch-in-progress", "kernel_id": "37480202"}, {"ref": "adrianhayler/lm-and-nn-from-scratch-using-pytorch", "kernel_id": "37630366"}, {"ref": "santhoshmamidisetti/titanic", "kernel_id": "37176312"}, {"ref": "vivekiet22/vivek-version-of-titanic-dietanic-v1-0", "kernel_id": "37805297"}, {"ref": "abinbinu/titanic-competition", "kernel_id": "37822699"}, {"ref": "aymenkhouja/gentle-introduction-to-hyperparameters", "kernel_id": "37139245"}, {"ref": "zahrash9/titanic-drawn-in-data", "kernel_id": "37829592"}, {"ref": "jamesberardini/titanic-logistic-regression", "kernel_id": "37083018"}, {"ref": "vladzaryshnyak/notebook267eac7b05", "kernel_id": "37377621"}, {"ref": "bernoullijnr/exercise-arithmetic-and-variables", "kernel_id": "37945538"}, {"ref": "mehmettahirmemili/titan-c-analysis", "kernel_id": "37328539"}, {"ref": "mwaseem75/titanic-data-science-solutions", "kernel_id": "37633700"}, {"ref": "aasnegha/simple-eda-to-mlmodel-titan", "kernel_id": "37149247"}, {"ref": "indraneeldey/titanic-survival", "kernel_id": "37502916"}, {"ref": "sheerazhussain/exercise-arithmetic-and-variables", "kernel_id": "37923987"}, {"ref": "mohammadabdelhalim/titanic-classification", "kernel_id": "37668986"}, {"ref": "pritamrajbhar/titanic-disaster-76-accuracy", "kernel_id": "37387894"}, {"ref": "gedewahyupurnama/titanic-tensorflow-keras", "kernel_id": "37347690"}, {"ref": "johnycooly/simple-neural-net", "kernel_id": "37814689"}, {"ref": "oscarrick/machine-learning-levelup-1", "kernel_id": "37540008"}, {"ref": "singhkunal/titanic-basic-analysis-with-pandas", "kernel_id": "37766542"}, {"ref": "singhkunal/1-titanic", "kernel_id": "37133581"}, {"ref": "alexkingj/titanic-tutorial", "kernel_id": "37648601"}, {"ref": "souravchanda01/titanic-dataset-using-logistic-regression", "kernel_id": "37043264"}, {"ref": "mutlaqkhaledaljoudi/notebookf922fef0c4", "kernel_id": "37232704"}, {"ref": "murilo47474/ac2-ia-knn", "kernel_id": "37387715"}, {"ref": "nduruk/quick-classification-with-pipeline", "kernel_id": "37841966"}, {"ref": "vaibhavijhawar/titanic-comp", "kernel_id": "37189622"}, {"ref": "shayannavaie/surviving-the-titanic-a-random-forests-approach", "kernel_id": "37597532"}, {"ref": "mohamedmaboshady/xgboost", "kernel_id": "37918812"}, {"ref": "abakashi/titanic-run", "kernel_id": "37306814"}, {"ref": "elif2000/t-tanfdvdfgb", "kernel_id": "37037139"}, {"ref": "elif2000/my-titanic-project-eda", "kernel_id": "37034027"}, {"ref": "abhiriyer/titanic-solution", "kernel_id": "37702141"}, {"ref": "viknegi/titanic-survival-prediction", "kernel_id": "37372727"}, {"ref": "cemkarahacoglu/titanic-survival-prediction-using-different-ml", "kernel_id": "37138587"}, {"ref": "samandarxamidov/predicting-the-survivors-on-the-titanic-using-mach", "kernel_id": "37956621"}, {"ref": "h210164/aiml-exp1-lm", "kernel_id": "37452057"}, {"ref": "egeboran/titanic-eda", "kernel_id": "37397960"}, {"ref": "yaseenkhan20/titanic-machine-learning", "kernel_id": "37374635"}, {"ref": "hassaanhaq/titanic-eda", "kernel_id": "37597691"}, {"ref": "hrishikeshrk/titanic-notebook", "kernel_id": "37377737"}, {"ref": "adebowaleoluwafemi71/titanic-survival-machine-learning-eda-to-pred", "kernel_id": "37577191"}, {"ref": "vissapragadasandeep/titanic-3", "kernel_id": "37329167"}, {"ref": "parinzee/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "37814007"}, {"ref": "chanchal24/titanic-dataset", "kernel_id": "37318454"}, {"ref": "kirankinhal/first-kg-nb-kkinhal", "kernel_id": "37306173"}, {"ref": "xer0bit/titanic-eda-exploratory-data-analysis", "kernel_id": "37248950"}, {"ref": "incheoljoditei/titanic-data-science-solutions-transcription", "kernel_id": "37273005"}, {"ref": "rohullahakbari12/titanic-random-forest-86", "kernel_id": "37320778"}, {"ref": "susieding/titanic", "kernel_id": "37787394"}, {"ref": "krishipatel23/logistic-regression-titanic-dataset", "kernel_id": "37813051"}, {"ref": "mohamedafsal007/titanic-analsis", "kernel_id": "37117012"}, {"ref": "deepikaarikesavan/getting-start-with-titanic", "kernel_id": "37319502"}, {"ref": "jothsnamuralidharan/titanic-survival-prediction", "kernel_id": "37702220"}, {"ref": "hossamahmedsalah/titank-ii", "kernel_id": "37481602"}, {"ref": "marceloletamendia/getting-started-with-titanic", "kernel_id": "37565801"}, {"ref": "nihattopcu/titanic-eda", "kernel_id": "37179239"}, {"ref": "abhijitmahapatro/titanic-the-disaster-on-the-sea", "kernel_id": "37301966"}, {"ref": "westerndert/getting-started-with-titanic", "kernel_id": "37291494"}, {"ref": "levimjoseph/titanic-classification", "kernel_id": "37842735"}, {"ref": "abocadobaby/keras-simple-model-vs-complex-model", "kernel_id": "37570625"}, {"ref": "rithikgoel/titanic-comp", "kernel_id": "37019147"}, {"ref": "davidfonseca2023/project-4-titanic", "kernel_id": "37149254"}, {"ref": "tirth4nkar/titanic-survival-prediction", "kernel_id": "37551835"}, {"ref": "jybanez/p4-getting-started-with-titanic", "kernel_id": "37183914"}, {"ref": "chinmaya20bce1887/20bce1887-knn", "kernel_id": "37068461"}, {"ref": "vasiliie/titanic-simple-nn-top-7", "kernel_id": "37330304"}, {"ref": "tokaeid/getting-started-with-titanic-attempt-1", "kernel_id": "37219881"}, {"ref": "athirasreenath/titanic-machine-learning-from-disaster", "kernel_id": "37885103"}, {"ref": "yashankleshwaiya/titanic-ya", "kernel_id": "37974068"}, {"ref": "boyng707/titanicpractice", "kernel_id": "37060454"}, {"ref": "dharshanadhanendran/titanic-prediction", "kernel_id": "37276840"}, {"ref": "himanshu2571/using-ccp-alpha-and-ensembling-to-get-maxm-score", "kernel_id": "37246732"}, {"ref": "talhademirr/titanic-clasifier", "kernel_id": "37340159"}, {"ref": "amin0mohamed/titanic-ml-prediction-model", "kernel_id": "37039126"}, {"ref": "skkmatter/ml-titanic-practice", "kernel_id": "37251818"}, {"ref": "artemkhadris/titanic-problem-tensorflow-85", "kernel_id": "37293697"}, {"ref": "nicholasahjohnson/getting-started-with-titanic", "kernel_id": "37431628"}, {"ref": "ujunwafatima/handling-missing-data", "kernel_id": "37905086"}, {"ref": "mudassarshaheen/titanic-survival-prediction", "kernel_id": "37456691"}, {"ref": "aydinyenil/titanic", "kernel_id": "37616886"}, {"ref": "utkmal/titanic-linear-model-nn", "kernel_id": "37040956"}, {"ref": "udaykirankavaturu/titanic-competition", "kernel_id": "37456150"}, {"ref": "ayushishukla12/titanic-challenge", "kernel_id": "37408384"}, {"ref": "skylorun/titanic", "kernel_id": "37557155"}, {"ref": "miguelvela/the-titanic-in-a-random-forest", "kernel_id": "37180381"}, {"ref": "yahyasoker/titanic-survival-prediction", "kernel_id": "37928464"}, {"ref": "shreshthgarg/using-random-forest-with-one-hot-encoding", "kernel_id": "37369948"}, {"ref": "aniketraj7/titaniccompetitionsolution", "kernel_id": "37668195"}, {"ref": "eduardocapel/titanic-with-transformers", "kernel_id": "37467843"}, {"ref": "inhyedddd/py-t1-1-iqr-expected-questions", "kernel_id": "37687015"}, {"ref": "loukilons/titanic-competition-xgb-model", "kernel_id": "37548150"}, {"ref": "drsanj/titanic-prediction", "kernel_id": "37461065"}, {"ref": "ishantgargml/titanic-disaster-eda-prediction", "kernel_id": "37026090"}, {"ref": "amirsanjani/titanic-competition", "kernel_id": "37541554"}, {"ref": "alexsantostavares/mineracaodedados", "kernel_id": "37744380"}, {"ref": "theoriginallegends/notebook356312cfa4", "kernel_id": "37283077"}, {"ref": "ignaciopalmaa/aiclub-template-titanic-project-lesson-2", "kernel_id": "37561031"}, {"ref": "mohamedmokhtar284/data-science-ml-titanic", "kernel_id": "37889871"}, {"ref": "maryanalyze/xgb-custom-objective-clipped-logloss", "kernel_id": "37947130"}, {"ref": "maryanalyze/lightgbm-categorical-feature-3-ways", "kernel_id": "37048815"}, {"ref": "maryanalyze/target-encoding-2-ways-of-blending", "kernel_id": "37300789"}, {"ref": "maryanalyze/catboost-combinations-of-categorical-features", "kernel_id": "37593016"}, {"ref": "muhammadusamazaman/final-project", "kernel_id": "37762383"}, {"ref": "mssomanna/predicting-with-nn", "kernel_id": "37506575"}, {"ref": "h34091102/titanic-stevenwangtest", "kernel_id": "37168518"}, {"ref": "fchaudhr/python-for-data-analysis", "kernel_id": "37430901"}, {"ref": "themrityunjaypathak/titanic-survival-using-naive-bayes-classifier", "kernel_id": "37005255"}, {"ref": "ying2sun/ml-exercise-4b-titanic-logistic-scikit-with-eda", "kernel_id": "37403012"}, {"ref": "anushrisha/getting-started-with-titanic", "kernel_id": "37510656"}, {"ref": "jssunmathi/titanic-using-svm-and-random-forest", "kernel_id": "37811970"}, {"ref": "hlnecorbel/corbel-survival-titanic", "kernel_id": "37494639"}, {"ref": "sudhanshu0088/notebook82b04cf2ad", "kernel_id": "37670309"}, {"ref": "bikramjeetsinghbedi/titanic", "kernel_id": "37617091"}, {"ref": "swahajraza/titanic-dataset-challenge", "kernel_id": "37227319"}, {"ref": "singhnavjot2062001/titanic-dataset-machine-learning", "kernel_id": "37181107"}, {"ref": "jeromelgutierrez/titanic", "kernel_id": "37779650"}, {"ref": "divy22/logistic-regression-titanic-dataset", "kernel_id": "37151719"}, {"ref": "devariwala/titanic-logistic-regression", "kernel_id": "37812834"}, {"ref": "jhucul/beginner-titanic", "kernel_id": "37054198"}, {"ref": "marwaahmed216/titanic-prediction", "kernel_id": "37484597"}, {"ref": "offwitt0/titanic-ml", "kernel_id": "37376440"}, {"ref": "iamabhaytiwari/titanic-ml", "kernel_id": "37329795"}, {"ref": "eleonoraricci/learning-pipelines-productivity-reusability", "kernel_id": "37621654"}, {"ref": "oddowl/titanic", "kernel_id": "37402531"}, {"ref": "santhosh0370/titanic-using-svm", "kernel_id": "37811430"}, {"ref": "nabilakt/exercise-titanic-survivors", "kernel_id": "37621116"}, {"ref": "amnaashraf07/tiatnic", "kernel_id": "37631775"}, {"ref": "sajjadhossaint/titanic-machine-learning-from-disaster", "kernel_id": "37641330"}, {"ref": "jmcastinheira/tutorial-titanic-1", "kernel_id": "37182878"}, {"ref": "yunusemreata/notebook1e7c335979", "kernel_id": "37604271"}, {"ref": "daniilbez/titanic-disaster", "kernel_id": "37226491"}, {"ref": "celebi07/preprocessing-pipeline-titanic", "kernel_id": "37015057"}, {"ref": "celebi07/model-titanic", "kernel_id": "37047933"}, {"ref": "celebi07/poly-reg-model-titanic", "kernel_id": "37216653"}, {"ref": "nicolascardozo995/titanic-esp-dozo995-ipynb", "kernel_id": "37207531"}, {"ref": "dm1sh0/titanic-practice", "kernel_id": "37559160"}, {"ref": "anjaliraosg/titanic-model", "kernel_id": "37081127"}, {"ref": "saarasalminen/ryhm-ty-titanic", "kernel_id": "37490070"}, {"ref": "anushkaindu/titanic-anushka", "kernel_id": "37023638"}, {"ref": "anushkaindu/titanic-new", "kernel_id": "37021933"}, {"ref": "cody11null/81-1-titanic-catboost", "kernel_id": "37885677"}, {"ref": "parkhyunho2/titanic-eda", "kernel_id": "37272559"}, {"ref": "computervisi/all-best-models", "kernel_id": "37985950"}, {"ref": "harshpriye/analyzing-ml-classification-models-using-pyspark", "kernel_id": "37092132"}, {"ref": "walidkw/titanic-machine-learning-from-disaster", "kernel_id": "37997332"}, {"ref": "asadbek1121/titanic-predict", "kernel_id": "37276247"}, {"ref": "jacobgloe/titanic-predictor", "kernel_id": "37996735"}, {"ref": "oj1010/getting-started-with-titanic", "kernel_id": "37052499"}, {"ref": "tooots/getting-started-with-titanic", "kernel_id": "37136477"}, {"ref": "boomman/cs4650", "kernel_id": "37098127"}, {"ref": "priyanshushekhar101/fork-of-titanic-notebook", "kernel_id": "37196553"}, {"ref": "pscavejack/getting-started-titanic-competition", "kernel_id": "37103409"}, {"ref": "jackbui/fork-of-notebookc0d51b2500", "kernel_id": "37145070"}, {"ref": "colmcg/getting-started-with-titanic", "kernel_id": "37141175"}, {"ref": "wenboli123789/wenbo-li-titanic", "kernel_id": "37097046"}, {"ref": "shichunnie/getting-started-with-titanic", "kernel_id": "37095447"}, {"ref": "owenou0124/getting-started-with-titanic", "kernel_id": "37183978"}, {"ref": "tmkartikeypillay/begineer-friendly-kfold-cv-knn-elbow-method", "kernel_id": "37592432"}, {"ref": "tmkartikeypillay/beginner-friendly-stacked-hyperparameter-tuned", "kernel_id": "37911887"}, {"ref": "andrewhrokholskyi/weather", "kernel_id": "37956287"}, {"ref": "rafaelcuntofilho/titanic-beedata-time5", "kernel_id": "37922495"}, {"ref": "melkirlangic/titanic-project-1-3", "kernel_id": "37713555"}, {"ref": "almuatasemalshebak/logistic-regression-titanic", "kernel_id": "37782707"}, {"ref": "nisreenbouta/logistic-regression-titanic-week7", "kernel_id": "37521758"}, {"ref": "jeanarnonalves/titanic-competition", "kernel_id": "37430481"}, {"ref": "nikitapolovnikov/notebook09af51fae2", "kernel_id": "37288451"}, {"ref": "nsft68/12-titanic-attempt-212", "kernel_id": "37165286"}, {"ref": "mecer80/titanic-machine-learning-from-disaster", "kernel_id": "37388414"}, {"ref": "yaoeee/svc-model-acc-0-7799", "kernel_id": "37536205"}, {"ref": "prabhakarz/titanic-prediction", "kernel_id": "37125246"}, {"ref": "petralfrolov/notebookb377bdddab", "kernel_id": "37076882"}, {"ref": "elfarouketawil/titanic", "kernel_id": "37546347"}, {"ref": "pabloduenas/getting-started-with-titanic", "kernel_id": "37185389"}, {"ref": "sohamnimbalkar/titanic-dataset", "kernel_id": "37851698"}, {"ref": "enriquecrispin/exercise-arithmetic-and-variables", "kernel_id": "37037362"}, {"ref": "cultjagga/titanic-tutorial", "kernel_id": "37449720"}, {"ref": "heyyyyy3/titanic-survivors-predictor", "kernel_id": "37348191"}, {"ref": "kalistahamad/getting-started-with-titanic", "kernel_id": "37189893"}, {"ref": "arpitmathur24/titanic-problem", "kernel_id": "37607786"}, {"ref": "cconsta1/optuna-random-forest-classifier", "kernel_id": "37047784"}, {"ref": "hermitmb/titanic-pytorch-neural-network-embedding-0-825", "kernel_id": "37539080"}, {"ref": "subhajeetdas23/titanic-lr", "kernel_id": "37044404"}, {"ref": "pereprosov/feature-engineering-visualisation", "kernel_id": "37339002"}, {"ref": "faresalnamla/sailing-through-the-titanic-disaster", "kernel_id": "37993585"}, {"ref": "salehzeer/solution-titanic-submission", "kernel_id": "37204505"}, {"ref": "torsteinae/titanic", "kernel_id": "37409050"}, {"ref": "csupples/josephsupplestitanic", "kernel_id": "37341717"}, {"ref": "megalodog/titanic", "kernel_id": "37508647"}, {"ref": "joefriedchicken/week-06-07-homework-titanic", "kernel_id": "37558318"}, {"ref": "fangbohong/titanic-fang-knn", "kernel_id": "37472765"}, {"ref": "markvkh/da-02-ivakha-m-lab-3", "kernel_id": "37618305"}, {"ref": "sydneyjohnsonni/week-6-homework", "kernel_id": "37634060"}, {"ref": "eduardomarinho44/getting-started-with-titanic", "kernel_id": "37827392"}, {"ref": "abuhuzaifahbidin/titanic-competition-submission-abu-huzaifah", "kernel_id": "37968057"}, {"ref": "haeynij/2020820017", "kernel_id": "37029255"}, {"ref": "manojbob/titanic", "kernel_id": "37360441"}, {"ref": "rohatsup/notebook2fbfb1fb95", "kernel_id": "37049345"}, {"ref": "thebigz/titanic-neural-network-hypertuning-colab-vers", "kernel_id": "37128795"}, {"ref": "thebigz/titanic-full-neural-network-tutorial", "kernel_id": "37270972"}, {"ref": "akashbhakta/titanic", "kernel_id": "37626504"}, {"ref": "coinshot/titanic-classification-model", "kernel_id": "37260138"}, {"ref": "vcode1509/titanic-survivor-kernel-svm-rbf-kernel", "kernel_id": "37983533"}, {"ref": "volkhindanil/perceptrontitanic", "kernel_id": "37483213"}, {"ref": "volkhindanil/tree-knntitanik", "kernel_id": "37121394"}, {"ref": "denct0506/titanic-machine-learning-with-eda", "kernel_id": "37222954"}, {"ref": "ormoshe20/notebook801017eb26", "kernel_id": "37918981"}, {"ref": "jmascacibar/surviving-the-titanic-with-a-score-of-0-811", "kernel_id": "37035678"}, {"ref": "csrjr0/titanic-time-3-beedata", "kernel_id": "37270895"}, {"ref": "vineetkumar1611/titanic", "kernel_id": "37198488"}, {"ref": "hugomv2/beedata-time-2", "kernel_id": "37219242"}, {"ref": "adamkulik/titanic-notebook", "kernel_id": "37049037"}, {"ref": "winnanlucia/titanic-model-for-prediction-of-deaths", "kernel_id": "37098946"}, {"ref": "mullay/notebookb7853ce89d", "kernel_id": "37297850"}, {"ref": "jamesyu1024/first-kg-nb", "kernel_id": "37141226"}, {"ref": "joshuaneri11/titanic", "kernel_id": "37841386"}, {"ref": "jonbio/jonbio-titanic", "kernel_id": "37233862"}, {"ref": "qafa1234/notebook8e8572cc0a", "kernel_id": "37429266"}, {"ref": "kimyeongin610/titanic-yeongin", "kernel_id": "37007528"}, {"ref": "arghabiswas11/titanic-compitition-submission", "kernel_id": "37027337"}, {"ref": "piyushjhamnani/kaggletitanic", "kernel_id": "37294102"}, {"ref": "yni33628601/titanic-score", "kernel_id": "37028524"}, {"ref": "manavgupta92/easy-titanic-solution-beginner-friendly", "kernel_id": "37856410"}, {"ref": "arifhossain00/titanic", "kernel_id": "37003777"}, {"ref": "simyeyeong/getting-started-with-titanic", "kernel_id": "37004445"}, {"ref": "jeonhara/titanic", "kernel_id": "37007402"}, {"ref": "coachhknu/titanic-practice", "kernel_id": "37033272"}, {"ref": "letletletitgo/notebook08b9bbf576", "kernel_id": "37042236"}, {"ref": "jdriscoll2001/johnathan-driscoll-gettingstartedwithtitanic", "kernel_id": "37136580"}, {"ref": "tladudals/notebookbab173bccb", "kernel_id": "37022159"}, {"ref": "tladudals/fork-of-notebookbab173bccb-4913c8", "kernel_id": "37067994"}, {"ref": "yoonmijin/2021810046-kaggle-titanic-machine-learning-from", "kernel_id": "37035883"}, {"ref": "veronicaabt/titanic-tutorial", "kernel_id": "37060870"}, {"ref": "adelhr/notebook4cb9c0e5c6", "kernel_id": "37141964"}, {"ref": "eddiewest/getting-started-with-titanic", "kernel_id": "37091747"}, {"ref": "danybn/danybn-titanic", "kernel_id": "37268115"}, {"ref": "johnsledge/getting-started-with-titanic", "kernel_id": "37149388"}, {"ref": "nagendrads/titanic-nagendra-ml", "kernel_id": "37426082"}, {"ref": "stevenwanghappy/titanic-stevenwang-fdahw2", "kernel_id": "37199033"}, {"ref": "demidenkodmytro/pd4165", "kernel_id": "37264110"}, {"ref": "pierlorenzoperuzzo/titanic-tutorial", "kernel_id": "37176413"}, {"ref": "brandonweight/bta-419-titanic-tutorial", "kernel_id": "37929621"}, {"ref": "saeschtheflash/titanic-my-first-ml-model", "kernel_id": "37182354"}, {"ref": "diegofalconc/getting-started-with-titanic", "kernel_id": "37188857"}, {"ref": "jenncardenas/getting-started-with-titanic", "kernel_id": "37195362"}, {"ref": "nargizaartykovaa/titanic-machine-learning-from-disaster-nargiz", "kernel_id": "37656443"}, {"ref": "hyerimlee17/titanic-machine-learning-hrl", "kernel_id": "37263067"}, {"ref": "ernest00/titanic-tutorial", "kernel_id": "37225592"}, {"ref": "ernest00/deep-learning", "kernel_id": "37911363"}, {"ref": "davicoelh0/titanic", "kernel_id": "37886995"}, {"ref": "julionborges/titanic-ac2", "kernel_id": "37269880"}, {"ref": "somkeneuzowulu/titanic-machine-learning-from-disaster", "kernel_id": "37701700"}, {"ref": "youssefbamieh/bigballer", "kernel_id": "37561688"}, {"ref": "valeriafurina/notebook07f3236d4d", "kernel_id": "37291497"}, {"ref": "xysserena/titanic-first-submission", "kernel_id": "37352390"}, {"ref": "xysserena/titanic-first-submission-updated", "kernel_id": "37431146"}, {"ref": "mehmetcubukcu/getting-started-with-titanic", "kernel_id": "37305067"}, {"ref": "vijayakancharla/first-kg-nb-ss-41023", "kernel_id": "37305825"}, {"ref": "natelinagon/titanic-kaggle-leti-course", "kernel_id": "37361659"}, {"ref": "amritraj1296/predictions-by-artificial-neural-network-ann", "kernel_id": "37618122"}, {"ref": "amritraj1296/titanic-dataset-w-logistic-regression", "kernel_id": "37396453"}, {"ref": "amritraj1296/titanic-data-w-decision-and-random-classifier", "kernel_id": "37446545"}, {"ref": "hafizhalmuzakar/titanic-comp", "kernel_id": "37597346"}, {"ref": "maden85/building-a-simple-linear-regression-model", "kernel_id": "37368972"}, {"ref": "laparicio/titanic-top-1-2-leaderboard-80-real-score", "kernel_id": "37628445"}, {"ref": "arjunpatel1983/titanic-data-science-solutions-bases-machine-learn", "kernel_id": "37385187"}, {"ref": "camillo777/my-titanic", "kernel_id": "37461481"}, {"ref": "yasutty/5-0520", "kernel_id": "37408132"}, {"ref": "joshuabordallo/titanic-analysis", "kernel_id": "37427289"}, {"ref": "j12839/kaggle-tutorial", "kernel_id": "37453694"}, {"ref": "alexbernardi/titanic-logistic-regression", "kernel_id": "37631028"}, {"ref": "ranjanaperera/titanic-disaster-ml-challenge", "kernel_id": "37573149"}, {"ref": "ranjanaperera/titanic-disaster-ml-challenge-using-nb", "kernel_id": "37579172"}, {"ref": "pallemeswar/my-first-notebook", "kernel_id": "37551834"}, {"ref": "mainaksil/getting-started-with-titanic", "kernel_id": "37693358"}, {"ref": "hannahmariepacis/predicting-titanic-survivors", "kernel_id": "37978390"}, {"ref": "adeniltonribeiro/titanic-ac2-ia", "kernel_id": "37594910"}, {"ref": "qwerasd123/getting-started-with-titanic", "kernel_id": "37658867"}, {"ref": "jonashamon/titanicliljoh", "kernel_id": "37659286"}, {"ref": "cleydisondourado/notebookca2062645d", "kernel_id": "37675553"}, {"ref": "italolow/titanic-floresta-aleat-ria", "kernel_id": "37757795"}, {"ref": "workshopaccount/girlsdayowndescisiontree", "kernel_id": "37694279"}, {"ref": "mihailturlakov/mt-titanic-rforrestoptimised", "kernel_id": "37817737"}, {"ref": "eliotdevergies/diabete-eliot-et-marcelin", "kernel_id": "37974938"}, {"ref": "agyeibotwe/notebook0558271cfd", "kernel_id": "37846333"}, {"ref": "abdelrhmanahmed1/classifiers-for-titanic-competition", "kernel_id": "37877850"}, {"ref": "robertoriquelmesaez/titanic-first", "kernel_id": "37885990"}, {"ref": "thiagotierre/getting-started-data-science-with-titanic", "kernel_id": "37962523"}, {"ref": "rafaelafrancisco19/titanic-rafaela", "kernel_id": "37988863"}, {"ref": "takercena/titanic-ml-tutorial", "kernel_id": "38794950"}, {"ref": "rolandmueller/titanic-eda", "kernel_id": "38817237"}, {"ref": "daniel7634/titanic-with-random-forest", "kernel_id": "38732347"}, {"ref": "hlud6646/optimiser-comparison", "kernel_id": "38880479"}, {"ref": "vvalerioluna/proyecto-integradorvvl", "kernel_id": "38457496"}, {"ref": "wschong/kernel-titanic-eda", "kernel_id": "38769021"}, {"ref": "sunshine8641/a-journey-through-titanic-tutorial", "kernel_id": "38949232"}, {"ref": "scatteredflo/230507-kihome-lec2-1-classification-titanic", "kernel_id": "38222960"}, {"ref": "scatteredflo/prac-230513-kihome-lec2-1-classification-titan", "kernel_id": "38467276"}, {"ref": "scatteredflo/kihome-lec4-advanced-classification-titani", "kernel_id": "38467879"}, {"ref": "sidverma1990/titanic-survival-prediction", "kernel_id": "38344913"}, {"ref": "selcukcan/da-20-plotting-with-pandas-and-matplotlib", "kernel_id": "38347853"}, {"ref": "selcukcan/da-22-probability-distributions", "kernel_id": "38351300"}, {"ref": "florentroques/exercise-arithmetic-and-variables", "kernel_id": "38652233"}, {"ref": "sergeykalutsky/titanic-predict", "kernel_id": "38360097"}, {"ref": "tnyont/a-beginners-guide-to-r-part-2-data-cleaning", "kernel_id": "38223297"}, {"ref": "sishihara/py310-python-kaggle-start-book-ch02-01", "kernel_id": "38471608"}, {"ref": "sishihara/py310-python-kaggle-start-book-ch02-02", "kernel_id": "38472229"}, {"ref": "sishihara/py310-python-kaggle-start-book-ch02-03", "kernel_id": "38472262"}, {"ref": "sishihara/py310-python-kaggle-start-book-ch02-04", "kernel_id": "38472299"}, {"ref": "sishihara/py310-python-kaggle-start-book-ch02-05", "kernel_id": "38472338"}, {"ref": "sishihara/py310-python-kaggle-start-book-ch02-06", "kernel_id": "38472667"}, {"ref": "sishihara/py310-python-kaggle-start-book-ch02-07", "kernel_id": "38472845"}, {"ref": "sishihara/py310-python-kaggle-start-book-ch02-08", "kernel_id": "38472947"}, {"ref": "leodaniel/solid-principles-complete-guide", "kernel_id": "38817297"}, {"ref": "leodaniel/design-patterns-complete-guide", "kernel_id": "38806191"}, {"ref": "saichandrika/titanic-survival-classification", "kernel_id": "38569260"}, {"ref": "hishamik/an-interactive-data-science-tutorial", "kernel_id": "38188158"}, {"ref": "kbalraj/autokeras-for-titanic-eda-survival", "kernel_id": "38098909"}, {"ref": "tohgoroh/titanic-starter", "kernel_id": "38830268"}, {"ref": "scynerd/titanic", "kernel_id": "38248637"}, {"ref": "dellalkhaled/storing-dataframes-in-one-excel", "kernel_id": "38547818"}, {"ref": "timonpalm/simplenn", "kernel_id": "38029455"}, {"ref": "bghai19/titanic-survival-model", "kernel_id": "38445810"}, {"ref": "movich/gmc-titanic", "kernel_id": "38037905"}, {"ref": "theanhle/mock-project-python-06-binary-classification", "kernel_id": "38650649"}, {"ref": "sunil199/titanic-eda-comparison-of-models", "kernel_id": "38390484"}, {"ref": "harshallele/simple-linear", "kernel_id": "38528298"}, {"ref": "aayushsin7a/pyspark-titanic", "kernel_id": "38582101"}, {"ref": "saqlainhussainshah/some-basic-analysis-on-titanic-dataset", "kernel_id": "38545640"}, {"ref": "harry8843/titanic-predictions-logit-rforest-nn-vanilla", "kernel_id": "38337398"}, {"ref": "ekizambo/titanic-dataset-logistic-regression", "kernel_id": "38888412"}, {"ref": "llorenzok/titanic-selection-model", "kernel_id": "38129875"}, {"ref": "fefe1894/titanic-chalenge", "kernel_id": "38989132"}, {"ref": "alinasirdawood/titanic-survival-predictions-first-submission", "kernel_id": "38322008"}, {"ref": "campusx/filter-based-feature-selection", "kernel_id": "38381490"}, {"ref": "shahzadahmad1/titanic-dataset-competition-nn", "kernel_id": "38821045"}, {"ref": "bagavathypriya/chi-square-test-of-independence-goodness-of-fit", "kernel_id": "38316140"}, {"ref": "nivedithavudayagiri/titanic-survival-prediction", "kernel_id": "38369649"}, {"ref": "nickbaynham/single-and-multi-layer-perceptrons-demo", "kernel_id": "38776936"}, {"ref": "tobycook97/session-4", "kernel_id": "38908767"}, {"ref": "shankerram/final-titanic-lab", "kernel_id": "38560735"}, {"ref": "adityamhaske/titaniccompetition", "kernel_id": "38127811"}, {"ref": "hozaifakhalid/titanic-disaster-lb-0-80861", "kernel_id": "38240044"}, {"ref": "mehmetuuratmaca/decision-tree-mehmet-u-ur-atmaca", "kernel_id": "38193305"}, {"ref": "kesaralikhithareddy/titanic", "kernel_id": "38850369"}, {"ref": "nurullahilda/titanic-nurullah", "kernel_id": "38742879"}, {"ref": "kathanmehta/titanicccccc", "kernel_id": "38958684"}, {"ref": "luccacastelli/machine-learning-from-disaster-with-python", "kernel_id": "38856203"}, {"ref": "wilderbarbosagalvo/titanic-machine-learning-from-disaster", "kernel_id": "38326274"}, {"ref": "krishnaphalgun/p2-c1", "kernel_id": "38494435"}, {"ref": "basrieco/titanic-disaster-accuracy-0-83", "kernel_id": "38767419"}, {"ref": "richardsousaantunes/features", "kernel_id": "38424659"}, {"ref": "khageshorgiri/eda-and-data-visualizations-titanic-dataset", "kernel_id": "38549810"}, {"ref": "zakharpetrov/titanic-logistic-regression-random-forest", "kernel_id": "38192642"}, {"ref": "littlebughenrylee/titanic-knn-random-forest", "kernel_id": "38575404"}, {"ref": "guidogarcatalledo/titanic-competition", "kernel_id": "38490199"}, {"ref": "murtazaziya/titanic-survivor-prediction", "kernel_id": "38993001"}, {"ref": "sleymanetiner/notebookb6e471d6c6", "kernel_id": "38596124"}, {"ref": "ozgurbayram00/titanic-advanced-eda-prediction-with-hp-tuning", "kernel_id": "38367800"}, {"ref": "nicolasluhanko/notebook7eb93f07fc", "kernel_id": "38965012"}, {"ref": "masghiff/predicting-survival-and-die-titanic-eda-ml", "kernel_id": "38213558"}, {"ref": "sushumnasingh/titanic-scikit-learn-pipelining-and-xgboost", "kernel_id": "38324658"}, {"ref": "gianggom/titanic-with-mlp", "kernel_id": "38069184"}, {"ref": "manapoker1/basic-tutorial-titanic-survival-prediction", "kernel_id": "38960379"}, {"ref": "manapoker1/titanic-survival-prediction-with-decision-forests", "kernel_id": "38996734"}, {"ref": "marcbiggar/titanic-machine-learning-disaster-w-randomforest", "kernel_id": "38847211"}, {"ref": "rhythmcam/r-basic-concat-and-devide-dataframe", "kernel_id": "38005747"}, {"ref": "rhythmcam/r-caret-basic-devide-train-validation-category", "kernel_id": "38141968"}, {"ref": "rhythmcam/r-tidyverse-basic-devide-train-validation", "kernel_id": "38137556"}, {"ref": "rhythmcam/sklearn-basic-stratifiedshufflesplit-usage", "kernel_id": "38092114"}, {"ref": "rhythmcam/tensorflow-basic-dataframe-to-dataset", "kernel_id": "38104357"}, {"ref": "wonsukj/elice-ai7-2-basic-modeling", "kernel_id": "38576820"}, {"ref": "wonsukj/elice-ai7-3-modeling2", "kernel_id": "38583829"}, {"ref": "wonsukj/elice-ai7-1-beginner-s-guide", "kernel_id": "38418883"}, {"ref": "wonsukj/elice-ai7-basic-eda-modeling", "kernel_id": "38422969"}, {"ref": "wonsukj/elice-ai7-data-preprocessing-visualization", "kernel_id": "38423810"}, {"ref": "ayushsingh05/unleashing-the-power-of-pipelines-in-scikit-learn", "kernel_id": "38347926"}, {"ref": "ursmaheshj/titanic-predictionusingmlpipelines", "kernel_id": "38921193"}, {"ref": "orthodoxlatex/pandas", "kernel_id": "38424582"}, {"ref": "koutasugi/kaggle-titanic", "kernel_id": "38215989"}, {"ref": "balajiviswanaathan/an-analysis-with-different-models", "kernel_id": "38178692"}, {"ref": "jahidul99/titanic-classification", "kernel_id": "38503468"}, {"ref": "shreyanshverma27/titanic-survival-prediction", "kernel_id": "38301708"}, {"ref": "gautamimamidala/titanic-notebook-2", "kernel_id": "38803898"}, {"ref": "amrkhairy/titanic", "kernel_id": "38316372"}, {"ref": "arturignatov/notebookdfeb03eaa0", "kernel_id": "38875949"}, {"ref": "ossamaoutmani/titanic-competition", "kernel_id": "38526014"}, {"ref": "bhuvanagayathri/titanic-dataset-implementation-using-svm", "kernel_id": "38052447"}, {"ref": "maddalasravani/titanic", "kernel_id": "38117500"}, {"ref": "maddalasravani/titanic-randomforest", "kernel_id": "38220424"}, {"ref": "gunnusravani/titanic-best-accuracy", "kernel_id": "38516807"}, {"ref": "suzzystranger/titanic-part-4-xgboost", "kernel_id": "38832772"}, {"ref": "suzzystranger/titanic-part-2-fastai-tabular-rfr", "kernel_id": "38435965"}, {"ref": "suzzystranger/titanic-part-1-linear-model-neural-net", "kernel_id": "38428745"}, {"ref": "suzzystranger/titanic-part-3-missing-values-categorical-data", "kernel_id": "38528176"}, {"ref": "shivamtyagi007/notebookf2c2e96284", "kernel_id": "38032288"}, {"ref": "sagayaabinesh/titanic-knn", "kernel_id": "38860494"}, {"ref": "sagayaabinesh/titanic-randomforest-classification", "kernel_id": "38778787"}, {"ref": "sagayaabinesh/titanic-svm-classification", "kernel_id": "38805430"}, {"ref": "lucianazeferino/titanic-survival-prediction", "kernel_id": "38516118"}, {"ref": "jiyajiwon/smcl-team-6-titanic-eda", "kernel_id": "38959331"}, {"ref": "jiyajiwon/titanic-eda", "kernel_id": "38950942"}, {"ref": "ghgjhghj/notebook927ad0510e", "kernel_id": "38847493"}, {"ref": "haneensaber/eda-neural-network", "kernel_id": "38540731"}, {"ref": "kiyoshi732/eda-on-titanic-dataset", "kernel_id": "38229275"}, {"ref": "phanendrasairam/titanic-survival-prediction", "kernel_id": "38272816"}, {"ref": "dhananjaykumarravi/titanic-dataset-submission", "kernel_id": "38007948"}, {"ref": "ltkien/test-2", "kernel_id": "38469650"}, {"ref": "alexkalita/titanicml", "kernel_id": "38190373"}, {"ref": "abdomostafa3/titanic-machine-learning", "kernel_id": "38528297"}, {"ref": "aski1140/titanic-data-science-works", "kernel_id": "38809437"}, {"ref": "mariamkilibechir/titanic-solution", "kernel_id": "38345808"}, {"ref": "kushagrathisside/titanic-survival-prediction-kaggle-competition", "kernel_id": "38822019"}, {"ref": "ahmedelsharabasy/titanic-cleaning-eda-classify-xgboost", "kernel_id": "38467796"}, {"ref": "narayanaroyal6/titanic", "kernel_id": "38397188"}, {"ref": "indraneeldey/titanic-survival-2nd-attempt", "kernel_id": "38476398"}, {"ref": "nfrozi/exercise-arithmetic-and-variables", "kernel_id": "38961441"}, {"ref": "raviajay/survive", "kernel_id": "38577251"}, {"ref": "ashubhatt/notebookf0559c8c00", "kernel_id": "38911281"}, {"ref": "ahmedalaa27/titanic-machine-learning", "kernel_id": "38176248"}, {"ref": "yunustopcu/titanic-competition", "kernel_id": "38774859"}, {"ref": "vidhiiiiiiiiiiiiiii/get-started-with-titanic", "kernel_id": "38380023"}, {"ref": "kasshiwa/titanic-kashiwazaki-1st-code", "kernel_id": "38148064"}, {"ref": "basemmulla/ml-hw1", "kernel_id": "38032391"}, {"ref": "yossefazam/eda-to-predictionxgboost", "kernel_id": "38204984"}, {"ref": "mahmoodjavaheri/titanic-who-will-survive", "kernel_id": "38517952"}, {"ref": "erjonb/titanic-feature-engineering-for-top-3-0-80382", "kernel_id": "38859236"}, {"ref": "meghana007d/titanic-survival", "kernel_id": "38482468"}, {"ref": "ahmedosrf/titanic-project", "kernel_id": "38237522"}, {"ref": "jayeshsonawane/titanic-prediction", "kernel_id": "38517317"}, {"ref": "olaniyankafayah/titanic", "kernel_id": "38909706"}, {"ref": "polinashilkova/notebook6758df19c0", "kernel_id": "38926715"}, {"ref": "hamzaobaid/simple-titanic-survival-prediction", "kernel_id": "38165652"}, {"ref": "maurosrgiofigueira/pytorch-practice", "kernel_id": "38370768"}, {"ref": "jitenderbisht/getting-started-with-titanic", "kernel_id": "38616289"}, {"ref": "debalinamitra/titanic-getting-started", "kernel_id": "38583608"}, {"ref": "ternarystorm/using-pipelines", "kernel_id": "38326230"}, {"ref": "pawkooo13/titanic", "kernel_id": "38706899"}, {"ref": "anastasiia220220/ggplot2anastasiiaillia", "kernel_id": "38723815"}, {"ref": "vissapragadasandeep/titanic-final", "kernel_id": "38486161"}, {"ref": "yangle2912/titanic-prediction-decision-tree", "kernel_id": "38618635"}, {"ref": "tomokinakamura3/notebook08a3d4f996", "kernel_id": "38196902"}, {"ref": "kashishjoshipura/titanic", "kernel_id": "38182257"}, {"ref": "aalrifat/titanic-80-accuracy-after-cross-validation", "kernel_id": "38232422"}, {"ref": "abdelrahmanaboelnaga/titanic-classififcation", "kernel_id": "38016721"}, {"ref": "carlnjong/notebook269052aa84", "kernel_id": "38263294"}, {"ref": "surihh/titanic-ensemble-practice", "kernel_id": "38215935"}, {"ref": "taehogil/kaggle-stude-week7-8", "kernel_id": "38950823"}, {"ref": "yuuthk/ai-titanic-problem", "kernel_id": "38673291"}, {"ref": "marcosgois07/sqlite-vs-apache-spark", "kernel_id": "38601705"}, {"ref": "rahulnamtosunahoga/titanic-eda-2-algorithms-random-forest", "kernel_id": "38553622"}, {"ref": "moazeldsoky/titanic-100-accuracy", "kernel_id": "38718958"}, {"ref": "thefreequark/getting-started-with-titanic", "kernel_id": "38511326"}, {"ref": "anurgjuyl/titanic-survival", "kernel_id": "38120156"}, {"ref": "mh0386/titanic-classification", "kernel_id": "38168534"}, {"ref": "kuldeeppatidar/titanic-liveordie", "kernel_id": "38167063"}, {"ref": "fatmaalhabbash/titanic-dataset-eda-ml", "kernel_id": "38228593"}, {"ref": "rabbiamin/titanicram", "kernel_id": "38470005"}, {"ref": "saidislombek/titanic-catboost", "kernel_id": "38140952"}, {"ref": "satyasavith/titanic-competition", "kernel_id": "38931694"}, {"ref": "abdelrahmanraslan/machine-learning-algorithms-for-titanic", "kernel_id": "38738676"}, {"ref": "librayzl/fork-of-fastai-tutorial-detailed", "kernel_id": "38495756"}, {"ref": "librayzl/titanic-data-science-eda-with-meme-solution", "kernel_id": "38492130"}, {"ref": "ashx010/titanic-modelling-with-deep-learning", "kernel_id": "38023436"}, {"ref": "lynettevdw/titanicml-try2-2023-05-16", "kernel_id": "38613574"}, {"ref": "ashrafulhaquesifat/titanic", "kernel_id": "38815634"}, {"ref": "pavan4679/notebooke548101463", "kernel_id": "38886315"}, {"ref": "fxie11/fork-of-titanic-competition-with-scaling", "kernel_id": "38160227"}, {"ref": "yeemeitsang/titanic-xgboost-rf-ensemble", "kernel_id": "38512146"}, {"ref": "pratikjodgudri/titanic-competition", "kernel_id": "38404961"}, {"ref": "jairusmartinez/titanic-randomforest", "kernel_id": "38986003"}, {"ref": "akashdubey022/titanic-survival-prediction", "kernel_id": "38400528"}, {"ref": "leemoodong/py-t1-1-iqr-expected-questions", "kernel_id": "38968826"}, {"ref": "sabrinayoung/getting-started-with-titanic", "kernel_id": "38411717"}, {"ref": "kjy825/23-5-24-analysis-for-titanic", "kernel_id": "38938257"}, {"ref": "watergoggkes123/notebook91cb", "kernel_id": "38878420"}, {"ref": "kluberfelixcancino/eda-titanic-python", "kernel_id": "38532941"}, {"ref": "felliag/titanic-preparationscalingimbalance", "kernel_id": "38587035"}, {"ref": "bettyannjames/titanic-model-submission", "kernel_id": "38941786"}, {"ref": "sskanyal/titanic-prediction", "kernel_id": "38038305"}, {"ref": "ayaanch/notebookbf827a4a28", "kernel_id": "38855678"}, {"ref": "mohammednabil98/simple-approach", "kernel_id": "38768444"}, {"ref": "yuyinjeon/titanic-tutorial-0523", "kernel_id": "38901441"}, {"ref": "psleon8245/titanic-tutorial-transcription", "kernel_id": "38890094"}, {"ref": "saratsaibammidi/introduction-to-titanic-new", "kernel_id": "38863314"}, {"ref": "yoonjuhan/kaggle-titanic", "kernel_id": "38788066"}, {"ref": "ykwangalice/feature-engineering", "kernel_id": "38601608"}, {"ref": "shubhamlipare/titanic-dataset-83-accuracy", "kernel_id": "38718758"}, {"ref": "nguyndngkanh/nh-m-2-b-o-c-o-kho-v-khai-ph-d-li-u", "kernel_id": "38317603"}, {"ref": "juanhdzma/survivability-predictor-ann-lr-svm-0-772", "kernel_id": "38443750"}, {"ref": "gurjeet123/titanic-shipwreck", "kernel_id": "38190257"}, {"ref": "naziakamali/first-submission-simplest-classifier", "kernel_id": "38425450"}, {"ref": "shanakk/titanic", "kernel_id": "38103221"}, {"ref": "vstacknocopyright/the-titanic-disaster-a-machine-learning-analysis", "kernel_id": "38772225"}, {"ref": "lukastaylor2/titanic-mass-classifier-test-v3", "kernel_id": "38762478"}, {"ref": "lukastaylor2/titanic-mass-testing-of-estimators-v2", "kernel_id": "38679100"}, {"ref": "lukastaylor2/titanic-mass-testing-of-sklearn-classifiers", "kernel_id": "38660213"}, {"ref": "minalijain/titanic-classification-problem", "kernel_id": "38584067"}, {"ref": "maryanalyze/interpret-xgboost-pdp-ice-lime-shap", "kernel_id": "38818178"}, {"ref": "varunguttikonda/titanic-competition", "kernel_id": "38342439"}, {"ref": "anasri2025/titanic", "kernel_id": "38862086"}, {"ref": "abdullah7aled/titanic-classification-w-randomforest", "kernel_id": "38150337"}, {"ref": "mahmoudabdeldayem/notebook27052023", "kernel_id": "38277009"}, {"ref": "micaic02/titantic-a", "kernel_id": "38502004"}, {"ref": "nityaranjankhuntia/titanic-survival-prediction", "kernel_id": "38660476"}, {"ref": "omyadav90/titanic-machine-learning", "kernel_id": "38237397"}, {"ref": "omrigispan/omri-gispan-318324613", "kernel_id": "38156444"}, {"ref": "amandeep47/histogram-in-r", "kernel_id": "38304894"}, {"ref": "suprajasesh/titanic-contest-svm-lr-dt-rf", "kernel_id": "38903278"}, {"ref": "maxagrafa/titanic", "kernel_id": "38036066"}, {"ref": "eleonoraricci/comparison-of-feature-importance-metrics", "kernel_id": "38449382"}, {"ref": "thevidz/thevidz-titanic", "kernel_id": "38893814"}, {"ref": "brandondombrowsky/ifyoujumpijump-jackdawson", "kernel_id": "38374050"}, {"ref": "shouravchy/titanic", "kernel_id": "38780657"}, {"ref": "amnaashraf07/titanic-again", "kernel_id": "38782335"}, {"ref": "shahnawazdev/predicting-survival-on-the-titanic", "kernel_id": "38980637"}, {"ref": "tusharkhutale7/titanic-compitition", "kernel_id": "38872626"}, {"ref": "vikaswakde/getting-started-with-titanic", "kernel_id": "38023663"}, {"ref": "damianlewandowski7/titanic-v1", "kernel_id": "38427739"}, {"ref": "avinashmonde/deep-neural-network-for-titanic-dataset", "kernel_id": "38192877"}, {"ref": "subrotomukherjea/notebookd1e5f79821", "kernel_id": "38142821"}, {"ref": "drgavrikov/titanic-top-1-real-scores", "kernel_id": "38524889"}, {"ref": "mokabbir/titanic-survival-prediction", "kernel_id": "38232590"}, {"ref": "an21mukhin/titanic-randomforest-solution", "kernel_id": "38442961"}, {"ref": "garima1412/titanic", "kernel_id": "38425318"}, {"ref": "giovanipedroso/titanic", "kernel_id": "38093534"}, {"ref": "harshvgh/decisiontree", "kernel_id": "38498330"}, {"ref": "qintarafazanurzafira/cheatsheet-70-ggplot-charts", "kernel_id": "38505815"}, {"ref": "nahidcse/titanic-survival-prediction", "kernel_id": "38792492"}, {"ref": "adibvafafallahpour/titanic-novel-deep-learning-approach-tensorflow", "kernel_id": "38615328"}, {"ref": "rakibulhasansezan/pandas-profiling", "kernel_id": "38233221"}, {"ref": "tonghaoxuan/haoxuan-tong-titanic", "kernel_id": "38525761"}, {"ref": "ahmedtareqqudaih/titanic-survivor-dataset-ahmed-tq", "kernel_id": "38180042"}, {"ref": "christinapresley/titanic-machine-learning-practice", "kernel_id": "38863203"}, {"ref": "jeanarnonalves/titanic-keras", "kernel_id": "38086071"}, {"ref": "evulsive/titanic", "kernel_id": "38212787"}, {"ref": "zionee/elice-ai7-randomforest", "kernel_id": "38865260"}, {"ref": "prabhatverma18/titanic-using-ann", "kernel_id": "38739522"}, {"ref": "willianjose/titanic", "kernel_id": "38571600"}, {"ref": "petralfrolov/titanicneuro", "kernel_id": "38301608"}, {"ref": "iamrahulthorat/titanic-survival-prediction-logistic-regression", "kernel_id": "38086613"}, {"ref": "evawuhuanyang/titanic", "kernel_id": "38798146"}, {"ref": "hanzla99/ai-lect-12-20230517-ai02-regression-w-o-fe", "kernel_id": "38893605"}, {"ref": "mimansari/my-titanic-experience", "kernel_id": "38824704"}, {"ref": "gktuyazc/dataiteam-titanic-eda-for-learning-purpose", "kernel_id": "38892401"}, {"ref": "bertharachma/tugas-pak-eri-titanic-data-science-solutions", "kernel_id": "38341428"}, {"ref": "jiylee0106/elice-ai7-randomforest", "kernel_id": "38428035"}, {"ref": "vijaykumarparmar/titanic-tutorial-with-feature-importance", "kernel_id": "38217910"}, {"ref": "baireddypranayreddy/ezzzyy", "kernel_id": "38205942"}, {"ref": "baireddypranayreddy/tita1nic", "kernel_id": "38201576"}, {"ref": "zhongdjgmailcom/clean-how-random-forest-really-work", "kernel_id": "38250344"}, {"ref": "zhongdjgmailcom/repeat-linear-model-and-nn-from-scratch", "kernel_id": "38177151"}, {"ref": "zhongdjgmailcom/linear-model-and-neural-net-from-scratch", "kernel_id": "38186876"}, {"ref": "zhongdjgmailcom/clean-repeat-linear-model-and-nn-from-scratch", "kernel_id": "38193372"}, {"ref": "naveenkadampally/notebooka7dd97dc44", "kernel_id": "38745780"}, {"ref": "ridvanhocaoglu/titanic-eda-and-prediction", "kernel_id": "38951932"}, {"ref": "batuhanakkus/ee543-hw3-batuhan-akku", "kernel_id": "38038627"}, {"ref": "marijuanax/sherjeel-javed", "kernel_id": "38605639"}, {"ref": "intermedve/notebookbe214f6c6b", "kernel_id": "38258239"}, {"ref": "w0ldemar/onlyname", "kernel_id": "38395118"}, {"ref": "vcode1509/logistic-regressin-in-python", "kernel_id": "38117909"}, {"ref": "chidambaramk/titanic-basicmodels", "kernel_id": "38837033"}, {"ref": "francovivesstone/titanic-model-prediction", "kernel_id": "38434220"}, {"ref": "ventuselb/exercise-arithmetic-and-variables", "kernel_id": "38086881"}, {"ref": "ayakaatori/0-7775-n", "kernel_id": "38810935"}, {"ref": "littlebaikc/lightgbm-titanic", "kernel_id": "38799759"}, {"ref": "metechmohit/titanic-disaster", "kernel_id": "38865577"}, {"ref": "sanjaybhat2004/notebookaeec206a59", "kernel_id": "38279886"}, {"ref": "adrianputman/titanic-competition", "kernel_id": "38869347"}, {"ref": "kotaueshima/kota-s-titantic-ml-model", "kernel_id": "38711327"}, {"ref": "furkankzlay/fk-titanic-eda", "kernel_id": "38975250"}, {"ref": "mdevika122/devika-titanic", "kernel_id": "38559542"}, {"ref": "martinedye/titanic-4-machine-learning", "kernel_id": "38834584"}, {"ref": "shreyanshsinghks/titanic-prediction-begginer", "kernel_id": "38488107"}, {"ref": "tangyble/titanic-code", "kernel_id": "38494252"}, {"ref": "abdulrahmanatef/titanic", "kernel_id": "38505569"}, {"ref": "jakubkuliski/titanic-project", "kernel_id": "38103017"}, {"ref": "freeskyedward/how-random-forests-really-work", "kernel_id": "38261076"}, {"ref": "minamiishii/notebook592ab188ea", "kernel_id": "38759122"}, {"ref": "joshuabordallo/titanic", "kernel_id": "38207296"}, {"ref": "aryangarg01/mlp-titanic", "kernel_id": "38209888"}, {"ref": "aryangarg01/random-forest-classifier", "kernel_id": "38142924"}, {"ref": "nsatou1983/titanic-ml", "kernel_id": "38579224"}, {"ref": "mainaksil/titanic-solution-top-8", "kernel_id": "38032309"}, {"ref": "mainaksil/titanic-competition-how-to-get-top-score-100", "kernel_id": "38032787"}, {"ref": "muthukameshwaran/titanic-classification", "kernel_id": "38143632"}, {"ref": "qwerasd123/titanic-main", "kernel_id": "38531753"}, {"ref": "italolow/titanic-projeto-de-ciencia-de-dados", "kernel_id": "38334657"}, {"ref": "victore7/titanic-mineracaodados", "kernel_id": "38328987"}, {"ref": "ananovello2019/titanic-project-v5", "kernel_id": "38415156"}, {"ref": "taiyokaggle/xgboost-titanic", "kernel_id": "38333422"}, {"ref": "n1c0las9/titanic-v2", "kernel_id": "38059436"}, {"ref": "marc36983/atividade-titanic", "kernel_id": "38405157"}, {"ref": "aufafauzantara/just-getting-started-on-titanic", "kernel_id": "38342357"}, {"ref": "stefanpdt/titanic-dataset-logistic-regression", "kernel_id": "38334259"}, {"ref": "devilbornfire/titanicproblem", "kernel_id": "38858123"}, {"ref": "ashutoshsingh112/notebook7f85acc9b0", "kernel_id": "38866193"}, {"ref": "veronikaalekseevna/titanic", "kernel_id": "38022127"}, {"ref": "ofeksimantov/titanic-315963983-ofek", "kernel_id": "38022366"}, {"ref": "beratkargin/titanic-eda", "kernel_id": "38266940"}, {"ref": "ilyanamakonoval/titanic-svc", "kernel_id": "38305215"}, {"ref": "ishikaapatell/getting-started-with-titanic", "kernel_id": "38045720"}, {"ref": "omraj12/titanic-rfc", "kernel_id": "38053733"}, {"ref": "kubagarncarek/machine-learning-from-disaster", "kernel_id": "38197436"}, {"ref": "giorgioboschi/titanic-machine-learning", "kernel_id": "38747748"}, {"ref": "materleaf/titanic-aiandml-exp1", "kernel_id": "38103413"}, {"ref": "shubhamdiwadkar24/titanic-machine-learning-from-disaster", "kernel_id": "38154995"}, {"ref": "horishu/notebookcd464a88c2", "kernel_id": "38144835"}, {"ref": "biancatulio/titanic-2", "kernel_id": "38404320"}, {"ref": "wangtugua/beginner-titanic-challenge", "kernel_id": "38566898"}, {"ref": "ahmetuk/work-life-satisfaction-analysis", "kernel_id": "38284370"}, {"ref": "pontaman2125/titanic-test", "kernel_id": "38247577"}, {"ref": "sitbayevalibek/titanic-first-notebook", "kernel_id": "38331879"}, {"ref": "erensner/eren-s-titanic-eda", "kernel_id": "38373987"}, {"ref": "znanworldss/fork-of-fork-of-getting-started-with-titanic", "kernel_id": "38337717"}, {"ref": "znanworldss/fork-of-getting-started-with-titanic", "kernel_id": "38295474"}, {"ref": "znanworldss/getting-started-with-titanic", "kernel_id": "38293217"}, {"ref": "animonte/exercise-arithmetic-and-variables", "kernel_id": "38437678"}, {"ref": "reneglavanovits/notebook1512952077", "kernel_id": "38321315"}, {"ref": "stefanneuwirth/titanic-tutorial", "kernel_id": "38319770"}, {"ref": "tobiaspachta/notebook10546486fb", "kernel_id": "38547218"}, {"ref": "fhbmarcon/notebook9ebac9dacd", "kernel_id": "38320079"}, {"ref": "ayayasser/titanicdisaster", "kernel_id": "38356356"}, {"ref": "lukasproksch/notebooke5b45b2b1f", "kernel_id": "38320969"}, {"ref": "helmuttischler/notebook-titanictutorial", "kernel_id": "38321620"}, {"ref": "alekseypyton2022/notebook-titanic7226d", "kernel_id": "38826186"}, {"ref": "bushuyev/titanic-tf", "kernel_id": "38512460"}, {"ref": "diegogaray1/notebook0d12d0f502", "kernel_id": "38364401"}, {"ref": "mertcansargl/titanic-ms-2023", "kernel_id": "38616659"}, {"ref": "enzopalumbo/titanic-1", "kernel_id": "38466201"}, {"ref": "nihitagarwal100/titanic-tutorial", "kernel_id": "38435122"}, {"ref": "felipececconello/getting-started-with-titanic", "kernel_id": "38454996"}, {"ref": "endroit/titanic-with-lightgbm", "kernel_id": "38598963"}, {"ref": "endroit/titanic-plain", "kernel_id": "38647387"}, {"ref": "endroit/titanic-with-lightgbm-v3", "kernel_id": "38736325"}, {"ref": "grassjelley/cheatsheet-70-ggplot-charts", "kernel_id": "38480094"}, {"ref": "grassjelley/cheatsheet-70-ggplot-charts-565a91", "kernel_id": "38536801"}, {"ref": "seitaroa/notebook3733d45210", "kernel_id": "38830828"}, {"ref": "itsjackagain/titanic-competition-attempt-1", "kernel_id": "38706854"}, {"ref": "jeongtaewoo/titanic-solution-with-lgbm-and-lstm", "kernel_id": "38585864"}, {"ref": "ijogendrajat/exercise-arithmetic-and-variables", "kernel_id": "38560619"}, {"ref": "fjaviermartinez/titanic-1ernotebook", "kernel_id": "38838664"}, {"ref": "malekrajiae/malek-vs-titanic", "kernel_id": "38839826"}, {"ref": "katsuhideh/notebook06de3fe572", "kernel_id": "38624369"}, {"ref": "weichens/titanic-prediction-with-logistic-regression", "kernel_id": "38757783"}, {"ref": "kamaljot1731/exercise-arithmetic-and-variables", "kernel_id": "38762643"}, {"ref": "gh165313459qqcom/notebook3683ce1618", "kernel_id": "38855866"}, {"ref": "morbidvivi/exercise-arithmetic-and-variables", "kernel_id": "38931571"}, {"ref": "aminbabaieahangary/titanic-tutorial", "kernel_id": "38880891"}, {"ref": "symonshestakov/titanic-top-2700", "kernel_id": "38926209"}, {"ref": "bharatgokhale/exercise-creating-reading-and-writing", "kernel_id": "38940676"}, {"ref": "psylabs/titanic", "kernel_id": "39611545"}, {"ref": "xiefei/fork-of-01-titanic", "kernel_id": "39140934"}, {"ref": "gvyshnya/doing-titanic-eda-step-by-step", "kernel_id": "39374525"}, {"ref": "samuelsitumeang/survival-prediction-using-xgboost", "kernel_id": "39557352"}, {"ref": "nnjjpp/pipelines-for-preprocessing-a-tutorial", "kernel_id": "39369613"}, {"ref": "vanshajhm/titanic-tutorial", "kernel_id": "39052407"}, {"ref": "pratcooper/notebook35c8448d7a", "kernel_id": "39341592"}, {"ref": "tronrover/unsinkable-predictions-ml-meets-titanic", "kernel_id": "39395753"}, {"ref": "krishnaraj30/titanic-data-kaggle-competition-beginner-python", "kernel_id": "39089754"}, {"ref": "movich/gridsearch-cv-titanic-2", "kernel_id": "39341944"}, {"ref": "movich/titanic-decisiontree-cv-gridsearch", "kernel_id": "39281664"}, {"ref": "movich/titanic-svm", "kernel_id": "39938932"}, {"ref": "yaminjoseph/titanic-predict-survival-of-passengers", "kernel_id": "39811983"}, {"ref": "derekxue/linear-model-and-neural-net-from-scratch", "kernel_id": "39205283"}, {"ref": "ivanaradic/titanic-survival-prediction", "kernel_id": "39879625"}, {"ref": "ydeepanshu2/titanic-submission", "kernel_id": "39936045"}, {"ref": "crimsoneer/eh-python-ml-tutorial", "kernel_id": "39913233"}, {"ref": "crimsoneer/eh-python-ml-tutorial-complete", "kernel_id": "39913287"}, {"ref": "ronfswanson/generalcodeforasubmission", "kernel_id": "39544006"}, {"ref": "zohaib123/todays-class", "kernel_id": "39951806"}, {"ref": "zohaib123/notebook423435995a", "kernel_id": "39917079"}, {"ref": "rishabhm76/exploring-different-algorithms-and-eda", "kernel_id": "39177969"}, {"ref": "thymongosselink/a-short-tutorial-in-r-easy-start-with-base-r", "kernel_id": "39305746"}, {"ref": "jungeuncha/titanic-tutorial-transcription", "kernel_id": "39224877"}, {"ref": "raneshguruparan/5-minute-titanic-data-analysis-project", "kernel_id": "39640874"}, {"ref": "namanzelawat/titanic-using-nn", "kernel_id": "39170937"}, {"ref": "jimmyyeung/titanic-eda-feature-engineering-beginners", "kernel_id": "39368639"}, {"ref": "ramsesmdlc/titanic-logistic-regression-model", "kernel_id": "39202219"}, {"ref": "benfoglia/titanic-ml-competition-random-forest", "kernel_id": "39705549"}, {"ref": "nursyahrina/titanic-survival-prediction-first-step-into-ml", "kernel_id": "39105205"}, {"ref": "faatemehchamani/titanic", "kernel_id": "39010887"}, {"ref": "rudragujarathi/ablator-tutorial-for-titanic", "kernel_id": "39345009"}, {"ref": "rudragujarathi/ablator-tutorial-for-titanic-dataset", "kernel_id": "39386949"}, {"ref": "nathanh4903/random-forest-demo", "kernel_id": "39133230"}, {"ref": "jeffureta/probability-theory", "kernel_id": "39559156"}, {"ref": "faustinomagg/titanic-prediction", "kernel_id": "39388031"}, {"ref": "oswaldomezaleon/titanic-try", "kernel_id": "39885971"}, {"ref": "kristinjue/kristin-s-updated-titanic-kaggle-submission", "kernel_id": "39198612"}, {"ref": "joeferndz/titanic-explore-classification-models-pyspark", "kernel_id": "39165273"}, {"ref": "chebochitalu/titanic-first-kaggle-competition", "kernel_id": "39561065"}, {"ref": "subhanahmed09/titanic-submit", "kernel_id": "39267174"}, {"ref": "soufiyaneoualii/2-titanic-prediction-using-linear-regression", "kernel_id": "39034844"}, {"ref": "soufiyaneoualii/1-titanic-survival-prediction-using-logistic-regre", "kernel_id": "39032693"}, {"ref": "soufiyaneoualii/3-titanic-survival-prediction-decesion-tree", "kernel_id": "39065146"}, {"ref": "soufiyaneoualii/8-titanic-survival-prediction-perceptron", "kernel_id": "39068516"}, {"ref": "soufiyaneoualii/4-titanic-survival-prediction-random-forest", "kernel_id": "39068010"}, {"ref": "soufiyaneoualii/7-titanic-survival-prediction-sgd", "kernel_id": "39068120"}, {"ref": "soufiyaneoualii/6-titanic-survival-prediction-svm", "kernel_id": "39068122"}, {"ref": "soufiyaneoualii/5-titanic-survival-prediction-knn", "kernel_id": "39068123"}, {"ref": "raghavs21/titanic-prediction", "kernel_id": "39825569"}, {"ref": "dquint/notebookdf41fba9fb", "kernel_id": "39603804"}, {"ref": "sethxu/titanic-ml-prediction-top-4", "kernel_id": "39085256"}, {"ref": "abdullahmahmod/titanic-classification-with-most-powerful-ml-model", "kernel_id": "39590260"}, {"ref": "eslamfouad/titanic-competition-knn", "kernel_id": "39456386"}, {"ref": "areeshaary/pipeline-using-titanic-dataset", "kernel_id": "39177745"}, {"ref": "areeshaary/outlier-detection-and-removal", "kernel_id": "39907321"}, {"ref": "dilransasenavirathna/titanic-dataset", "kernel_id": "39574995"}, {"ref": "ehtishamsadiq/titanic-prediction", "kernel_id": "39336447"}, {"ref": "hellohi123/titanic-dataset-analysis", "kernel_id": "39420144"}, {"ref": "jibinsajeev/titanic-machine-learning", "kernel_id": "39523108"}, {"ref": "kkkkkkkkkxxx/feature-engineering-titanic", "kernel_id": "39048276"}, {"ref": "flothedeveloper/titanic-logistic-regression", "kernel_id": "39564567"}, {"ref": "prashantgehlot2404/getting-started-with-titanic", "kernel_id": "39796945"}, {"ref": "lucasl37/project-2-case-1-titanic", "kernel_id": "39608663"}, {"ref": "amyrmahdy/predicting-survival-on-the-titanic", "kernel_id": "39191358"}, {"ref": "alekseyfomin/full-cycle-of-training-an-ensemble-25-models", "kernel_id": "39357340"}, {"ref": "rambodparsi/titanic-dataset-analysis-competition-mercury", "kernel_id": "39568778"}, {"ref": "sagayaabinesh/titanic-xg-boost", "kernel_id": "39031870"}, {"ref": "ranjithkacharya/titanic-analysis-predict-by-histgradboostingclass", "kernel_id": "39139943"}, {"ref": "karunyaronith/titanic-submission", "kernel_id": "39224396"}, {"ref": "zainherooftime/supervised-machine-learning-brn-skill-assessment", "kernel_id": "39586340"}, {"ref": "ahmedbedair33/titanic-w-random-forest", "kernel_id": "39810184"}, {"ref": "abhisheksuthar/titanic-survival-prediction-notebook", "kernel_id": "39491514"}, {"ref": "kingsleysunday380/predicting-survival-from-titanic-data", "kernel_id": "39507635"}, {"ref": "rickymartindev/zerotoherodatascience-titanic-tutorial", "kernel_id": "39242501"}, {"ref": "profeta/titanic-first-work", "kernel_id": "39081742"}, {"ref": "faizanzaidy/exercise-arithmetic-and-variables", "kernel_id": "39506438"}, {"ref": "serifoz/neural-network-with-pytorch", "kernel_id": "39791820"}, {"ref": "mohamedelsheikh20/m-sh-titanic-predict", "kernel_id": "39073305"}, {"ref": "team63/titanic-eda-to-ml-beginner-rev-01", "kernel_id": "39572531"}, {"ref": "sriharshaeedala/titanic", "kernel_id": "39038784"}, {"ref": "mhmdnasser/titanic", "kernel_id": "39744198"}, {"ref": "bigbossinkaggle/getting-started-with-titanic", "kernel_id": "39044362"}, {"ref": "raghavgarg12/titanic-baseline", "kernel_id": "39980003"}, {"ref": "numustafa/notebook4d61069338", "kernel_id": "39208057"}, {"ref": "dimasfzn/notebook43cd7acb7a", "kernel_id": "39530375"}, {"ref": "mostafamohammednouh/titanic-machine-learning-from-disaster", "kernel_id": "39183094"}, {"ref": "realshaktigupta/titanic-neural-network", "kernel_id": "39739626"}, {"ref": "realshaktigupta/titanic-classification-2-svm", "kernel_id": "39004943"}, {"ref": "ehsanmjz/titanic", "kernel_id": "39385030"}, {"ref": "thallurujaswanth/titanic-logistic-regression-model", "kernel_id": "39775399"}, {"ref": "gamalahmed32/titanic-data-science-solutions", "kernel_id": "39297701"}, {"ref": "ahmedelbashir99/titanic-prediction", "kernel_id": "39924894"}, {"ref": "yasseralwan/the-titanic-challenge-beginner-friendly-guide", "kernel_id": "39671324"}, {"ref": "mohamedhassan88/titanic-classifier", "kernel_id": "39848293"}, {"ref": "datageek101/titanic-machine-learning-problem", "kernel_id": "39239503"}, {"ref": "manishkumar7432698/titanic-machine-learning-from-disaster", "kernel_id": "39556540"}, {"ref": "uohccy/titanic-survivors-predictions", "kernel_id": "39651976"}, {"ref": "franklineneh/titanic-notebook", "kernel_id": "39074431"}, {"ref": "nidhiy07/titanic-survival", "kernel_id": "39112917"}, {"ref": "tusharmehra21/notebook374de7e486", "kernel_id": "39780925"}, {"ref": "nakagavva/titanic-2023-jun", "kernel_id": "39410913"}, {"ref": "darkmarey/titanic", "kernel_id": "39818282"}, {"ref": "furkannsasmaz/furkansasmaz-titanic-eda", "kernel_id": "39967984"}, {"ref": "ajieraflipamungkas/titanic-knn", "kernel_id": "39366669"}, {"ref": "sanketanand2102/titanic-disaster-survival-prediction", "kernel_id": "39920119"}, {"ref": "leemoodong/t2-1-titanic-simple-baseline", "kernel_id": "39600560"}, {"ref": "michael8319/titanic-predictions", "kernel_id": "39344636"}, {"ref": "cristianscutaru/fe-cleaning-data-with-pandas-dataframe", "kernel_id": "39120611"}, {"ref": "vladimirrpereverzev/fork-of-titanic", "kernel_id": "39439979"}, {"ref": "vladimirrpereverzev/titanic", "kernel_id": "39381218"}, {"ref": "thabresh/titanic-exploring-the-untold-stories-of-survival", "kernel_id": "39090182"}, {"ref": "thabresh/feature-engineering-titanic-dataset", "kernel_id": "39687174"}, {"ref": "mayurdushetwar/titanic-unveiled-a-data-exploration-odyssey", "kernel_id": "39055443"}, {"ref": "winhandsome/winhandsome-titanic", "kernel_id": "39389341"}, {"ref": "kushagg2103/naive-bayes-knn-from-scratch", "kernel_id": "39072873"}, {"ref": "abdulazizahmedalamri/titanic", "kernel_id": "39062345"}, {"ref": "michaelschulstad/titanic", "kernel_id": "39272593"}, {"ref": "moffatmasila/titanic-dataset-survival-prediction", "kernel_id": "39872469"}, {"ref": "mohammednabil98/notebookcb8145cdbe", "kernel_id": "39111795"}, {"ref": "eu1234/titanic-advanced-feat-engineering-optuna-blending", "kernel_id": "39938069"}, {"ref": "moisesmgft/notebook1a2acb777c", "kernel_id": "39610750"}, {"ref": "hassanm123652/titanic-predictions", "kernel_id": "39784827"}, {"ref": "vijayjoshi17/seaborn-guide-all-important-plots", "kernel_id": "39820740"}, {"ref": "yuyinjeon/titanic-tutorial-0531", "kernel_id": "39249418"}, {"ref": "talhaturab/titanic-machine-learning-from-disaster", "kernel_id": "39583604"}, {"ref": "ashishjagdishsharma/titanic-machine-learning-from-disaster", "kernel_id": "39340330"}, {"ref": "aashitagrawal/pandas-profiling", "kernel_id": "39305939"}, {"ref": "aashitagrawal/bivariate-and-multivariate-analysis", "kernel_id": "39299757"}, {"ref": "aashitagrawal/understanding-your-data", "kernel_id": "39204838"}, {"ref": "aashitagrawal/univariate-analysis-eda", "kernel_id": "39205081"}, {"ref": "kagankoral/svm-for-finding-survivors-from-titanic-disaster", "kernel_id": "39138272"}, {"ref": "kagankoral/model-for-finding-survivors-from-titanic-disaster", "kernel_id": "39134617"}, {"ref": "krishkanojia/titanic-dataset", "kernel_id": "39230898"}, {"ref": "praagyakush/titanic-kush", "kernel_id": "39734249"}, {"ref": "vaigood/pp-final-1-3-titanic", "kernel_id": "39343343"}, {"ref": "dafaaqilla/titanic-tensorflow-df", "kernel_id": "39357697"}, {"ref": "srj321/exercise-arithmetic-and-variables", "kernel_id": "39350985"}, {"ref": "karolissimkevicius/titanic-from-disaster", "kernel_id": "39552569"}, {"ref": "minalijain/exercise-arithmetic-and-variables", "kernel_id": "39013447"}, {"ref": "maryanalyze/ale-plots-alibi-explain-for-xgboost-models", "kernel_id": "39449707"}, {"ref": "soumitdas1803063/titanicsurvivalprediction", "kernel_id": "39292451"}, {"ref": "crxxom/submission-within-10-lines-of-code-with-pycaret", "kernel_id": "39479516"}, {"ref": "crxxom/titanic-survival-rate-tableau-dashboard-for-eda", "kernel_id": "39358664"}, {"ref": "crxxom/decision-tree-with-sklearn-pipeline-ccp", "kernel_id": "39373078"}, {"ref": "siddhudonda/notebook7cedeb03ab", "kernel_id": "39884886"}, {"ref": "mustafauar/titanic-comparison-rf-dt-svc-xgb-knn-lr-77", "kernel_id": "39113239"}, {"ref": "marcelversiani/titanic-csi", "kernel_id": "39611411"}, {"ref": "mansoorzarmehrzamin/getting-started-with-titanic", "kernel_id": "39115475"}, {"ref": "julio4ai/titanic-complete-solution-top-10", "kernel_id": "39212443"}, {"ref": "lubabahassan/the-titanic-project", "kernel_id": "39763422"}, {"ref": "abhiramreddygeesidi/titanic-ml-from-disaster", "kernel_id": "39865273"}, {"ref": "lakshayjain611/titanic", "kernel_id": "39580050"}, {"ref": "burcutas/titanic-randomforest", "kernel_id": "39196226"}, {"ref": "anuarrr/titanic", "kernel_id": "39785532"}, {"ref": "moazeldsokyx/titanic-top-3-with-81-accuracy", "kernel_id": "39029332"}, {"ref": "ahmedatef163/titanic-tutorial", "kernel_id": "39061875"}, {"ref": "matjnekoranec/titanic-disaster-ml-task", "kernel_id": "39535585"}, {"ref": "lequanthanh/notebook26f5131c42", "kernel_id": "39753457"}, {"ref": "nttthanh/titanic-ml-model", "kernel_id": "39170703"}, {"ref": "fentaniao/titanic-randomforestclassifier", "kernel_id": "39471248"}, {"ref": "python4sp/neural-networks", "kernel_id": "39286026"}, {"ref": "chelsy1221/getting-started-with-titanic", "kernel_id": "39774706"}, {"ref": "guptasahil8765/4-titanic-survival-prediction-random-forest", "kernel_id": "39095564"}, {"ref": "courtneyhoppus/courtneyresubmission", "kernel_id": "39206380"}, {"ref": "ariunzayaerdenebileg/zayatitanic4", "kernel_id": "39770495"}, {"ref": "nihelghennani/randomforest-on-titanic-dataset", "kernel_id": "39508894"}, {"ref": "thimote/final-assigement-ai-krummenacker-timothe", "kernel_id": "39367046"}, {"ref": "akinert/titanic-linear-regression-model", "kernel_id": "39974317"}, {"ref": "riiiiiroy/notebookb3bf10301e", "kernel_id": "39225780"}, {"ref": "omarzanata/notebookde712ee0ae", "kernel_id": "39156071"}, {"ref": "kirtanmatalia26/titanic-survival-prediction-using-randomforest", "kernel_id": "39551478"}, {"ref": "keremgul22/keremtaytanik", "kernel_id": "39058165"}, {"ref": "samfouad/logistic-regression-model", "kernel_id": "39368094"}, {"ref": "atharvsabde/pandas-detailed-tutorial", "kernel_id": "39144184"}, {"ref": "thangaprabhu/notebook32efddf636", "kernel_id": "39797969"}, {"ref": "karimobegi/notebook6df2dd59ee", "kernel_id": "39012588"}, {"ref": "galashkenazi/ml-assignment-3-gal-ashekenazi", "kernel_id": "39479797"}, {"ref": "taylordaugherty/titanic-competition-norm-2023-6-14", "kernel_id": "39970183"}, {"ref": "daniilboychenko/notebookc3e41b7a0e", "kernel_id": "39416438"}, {"ref": "luthien5921/titanic-competition", "kernel_id": "39926066"}, {"ref": "patthanawut/titanic-survived-prediction", "kernel_id": "39786588"}, {"ref": "kimiaabdolahzadeh/notebook4711fca489", "kernel_id": "39109216"}, {"ref": "spcodeq/getting-started-with-titanic", "kernel_id": "39040140"}, {"ref": "cemreatan/titanic-project", "kernel_id": "39664400"}, {"ref": "sticktogethertm/eda-recovery-visualization-81", "kernel_id": "39184271"}, {"ref": "kishore3914/titanic-solver", "kernel_id": "39115313"}, {"ref": "alperenemin/tt-logisticreg-knn", "kernel_id": "39152048"}, {"ref": "avinashkumarmahato/titanic-machine-learning-from-disaster", "kernel_id": "39174466"}, {"ref": "jakedownie/titenic", "kernel_id": "39246944"}, {"ref": "jayheewon/newbie-kaggler-s-titanic", "kernel_id": "39511980"}, {"ref": "naveen2502/feature-transformation", "kernel_id": "39781446"}, {"ref": "rahulrai0921/titanic-survival-prediction", "kernel_id": "39834350"}, {"ref": "shchalex/titanic-0-78", "kernel_id": "39599193"}, {"ref": "rahulsaavn/titanic-logistic-regresion", "kernel_id": "39826837"}, {"ref": "tarangs20/titanic-svm-hypermater-tuning", "kernel_id": "39970777"}, {"ref": "juliezhu001/titanic-first-kaggle-competition", "kernel_id": "39809457"}, {"ref": "alopezs5/trabajo-ia", "kernel_id": "39078980"}, {"ref": "mirkszakali/titanic-basic", "kernel_id": "39879368"}, {"ref": "chenkuanpu/titanic-classification-gridsearchcv", "kernel_id": "39919407"}, {"ref": "ayush12nagar/notebook36a5822364", "kernel_id": "39538664"}, {"ref": "luisca67/proyecto-titanic-luis-cabrera", "kernel_id": "39286911"}, {"ref": "sandipshresthad/titatnicdataset", "kernel_id": "39337776"}, {"ref": "saipavankumaryedduri/titanic-survival-prediction1", "kernel_id": "39309395"}, {"ref": "awiksshiithnarang/titanic-survivors", "kernel_id": "39362087"}, {"ref": "seitaroa/fork-of-notebook3733d45210", "kernel_id": "39435607"}, {"ref": "eyupsofyyev/esg-titanic-eda", "kernel_id": "39271304"}, {"ref": "olatundeeso/my-titanic-survival-prediction-14062023", "kernel_id": "39984170"}, {"ref": "pedromachadoarajo/notebook2d6acb8389", "kernel_id": "39192699"}, {"ref": "chinpattara/eda-model-predicting-titanic-data", "kernel_id": "39086351"}, {"ref": "georgepullen/titanic-survival-prediction-rf-classifier", "kernel_id": "39795305"}, {"ref": "nitikabharti/exercise-arithmetic-and-variables", "kernel_id": "39230418"}, {"ref": "leokagglelk/machine-learning-titanic", "kernel_id": "39337165"}, {"ref": "rahimiridzal/titanic-data-cleaning-multi-model-prediction", "kernel_id": "39065589"}, {"ref": "parhamgousheh/third-titanic-solution", "kernel_id": "39264317"}, {"ref": "parhamgousheh/second-titanic-solution", "kernel_id": "39220901"}, {"ref": "parhamgousheh/titanic-solution", "kernel_id": "39127514"}, {"ref": "asimaaliali/titanic-project", "kernel_id": "39917851"}, {"ref": "yhanlim/titanic-tutorial", "kernel_id": "39639139"}, {"ref": "yhanlim/titanic", "kernel_id": "39615626"}, {"ref": "aravindpcoder/titanic-survival-prediction", "kernel_id": "39055313"}, {"ref": "morbidvivi/titanic-tutorial", "kernel_id": "39383875"}, {"ref": "ahmedyasser7910/cv-hyperparameters-tuning-for-votingclassifier", "kernel_id": "39769945"}, {"ref": "sophiaishiidognani/sophia-ishii-dognani-arithmetic-and-variables", "kernel_id": "39848314"}, {"ref": "dylandsi/titaniccomp-cleaning-lr-dt-rf-models", "kernel_id": "39944011"}, {"ref": "bharatgokhale/titanic-survival-data", "kernel_id": "39576059"}, {"ref": "bharatgokhale/titanic-tutorial", "kernel_id": "39575999"}, {"ref": "bharatgokhale/exercise-arithmetic-and-variables", "kernel_id": "39573930"}, {"ref": "sushantrajbhar/logistic-regression-and-cross-validation", "kernel_id": "39060937"}, {"ref": "kolambekalpesh/titanic-project-final", "kernel_id": "39376195"}, {"ref": "kevinandh14/getting-started-with-titanic", "kernel_id": "39048453"}, {"ref": "kevinandh14/exercise-arithmetic-and-variables", "kernel_id": "39000038"}, {"ref": "thedufferr/titanicdataset", "kernel_id": "39010080"}, {"ref": "rohanst/titanic-code", "kernel_id": "39000569"}, {"ref": "nikhithar7/notebook2ca17a9cfe", "kernel_id": "39308210"}, {"ref": "abebe0210/notebook3733d45210-524567", "kernel_id": "39540802"}, {"ref": "nvdien/getting-started-with-titanic", "kernel_id": "39910346"}, {"ref": "prthmgoyl/simplemodel", "kernel_id": "39635111"}, {"ref": "devansaravanan/titanic-survived-prediction", "kernel_id": "39353636"}, {"ref": "danielamedley/titanic-challenge", "kernel_id": "39099566"}, {"ref": "abhishekbiswas47/titanic", "kernel_id": "39383094"}, {"ref": "yongok/py-t1-1-iqr-expected-questions", "kernel_id": "39129984"}, {"ref": "bayanbanat/salary-data-simple-linear-regression", "kernel_id": "39632008"}, {"ref": "nanorkrakowski/titenic", "kernel_id": "39239501"}, {"ref": "vineetatyam/titanicprediction", "kernel_id": "39200625"}, {"ref": "hugobrandonhc/an-lisis-y-predicci-n-titanic-esp-python", "kernel_id": "39563443"}, {"ref": "router0005555/notebook386d49dccb", "kernel_id": "39219894"}, {"ref": "akira908/titanicsurvive", "kernel_id": "39832610"}, {"ref": "ayanasr/univariate-data-descriptive-statistics-part-ii", "kernel_id": "39221191"}, {"ref": "ayanasr/univariate-data-descriptive-statistics-part-17d6f9", "kernel_id": "39221207"}, {"ref": "ayanasr/introduction-to-data-with-python-part-i", "kernel_id": "39220752"}, {"ref": "patrickadan/notebook-titanic-patrick", "kernel_id": "39242955"}, {"ref": "astridellis/titanic-machine-learning-from-disaster-entry", "kernel_id": "39591265"}, {"ref": "rahulsiripuram/titanic", "kernel_id": "39374115"}, {"ref": "nikollasantes/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "39562695"}, {"ref": "irfanali112/exercise-arithmetic-and-variables", "kernel_id": "39557280"}, {"ref": "daigoyamamoto/titanic", "kernel_id": "39550350"}, {"ref": "vitorhhiguchi/exercise-arithmetic-and-variables", "kernel_id": "39565058"}, {"ref": "sviatoslavmatviiuk/notebook9089f4d9a3", "kernel_id": "39966262"}, {"ref": "leofariaoliveira/leonardo-faria-exercise-arithmetic-and-variables", "kernel_id": "39546758"}, {"ref": "alexlasnier/titanic-alexlasnier", "kernel_id": "39709290"}, {"ref": "muhammadjaffery/titanic", "kernel_id": "39650143"}, {"ref": "cpariver/titanic-survivor-classification-using-k-fold", "kernel_id": "39732515"}, {"ref": "cpariver/performance-evaluation", "kernel_id": "39861038"}, {"ref": "cpariver/accuracy-error-1", "kernel_id": "39834759"}, {"ref": "shawgo/titanic-survival-predictions-v1", "kernel_id": "39926189"}, {"ref": "jhonnymorales/notebooka42fc56e1a", "kernel_id": "39725778"}, {"ref": "jhonnymorales/notebook6a0915aafc", "kernel_id": "39711742"}, {"ref": "atulpadalia/exercise-arithmetic-and-variables", "kernel_id": "39776154"}, {"ref": "atulpadalia/notebook1a5eb90679", "kernel_id": "39788292"}, {"ref": "rojasvctor/titanic-v-ctor-rojas-proyecto", "kernel_id": "39779064"}, {"ref": "rosangelabrito/rosangela-brito-titanic-proyecto", "kernel_id": "39784208"}, {"ref": "joopedrofoguinho/jo-o-pedro-exercise-arithmetic-and-variable", "kernel_id": "39810360"}, {"ref": "majin1no1shokutaku/notebooktitanic", "kernel_id": "39751944"}, {"ref": "akumarsivakotaiah/exercise-arithmetic-and-variables", "kernel_id": "39760682"}, {"ref": "marciolira/marcio-exercise-arithmetic-and-variables", "kernel_id": "39766622"}, {"ref": "simongitonga/firstnotebook-titanic", "kernel_id": "39938713"}, {"ref": "eddyunamed/titan", "kernel_id": "39927813"}, {"ref": "seongyeopchoi/titanic-survive", "kernel_id": "39784272"}, {"ref": "lucaszchaves/exercise-arithmetic-and-variables", "kernel_id": "39795439"}, {"ref": "rakshithsolleti/exercise-arithmetic-and-variables", "kernel_id": "39831922"}, {"ref": "gabrielgallotmj/gabriel-gallo-exercise-arithmetic-and-variables", "kernel_id": "39809039"}, {"ref": "aioiminfo/titanic-v1-0", "kernel_id": "39924119"}, {"ref": "karinatm/exercise-arithmetic-and-variables", "kernel_id": "39835445"}, {"ref": "karinatm/getting-started-with-titanic", "kernel_id": "39936238"}, {"ref": "seprow/titanic-eda-and-logisticregression", "kernel_id": "39843320"}, {"ref": "kagstick/titanic-1", "kernel_id": "39845714"}, {"ref": "datasciences14/titanic-dataset-kaggle-competition-beginner-python", "kernel_id": "39903820"}, {"ref": "datasmart3/titanic-dataset-kaggle-competition-beginner-python", "kernel_id": "39907247"}, {"ref": "prehkeerio/notebook8b9f043555", "kernel_id": "39917451"}, {"ref": "ayeshakhoja/notebookd041c92c2b", "kernel_id": "39917258"}, {"ref": "ubaidullahkhan1/uuk1-quest", "kernel_id": "39917107"}, {"ref": "urwaiqbal/notebookfd99a1af8a", "kernel_id": "39917080"}, {"ref": "javiersnchezsanjos/titanic-clasificaci-n", "kernel_id": "39974641"}, {"ref": "kevinogoro/titanic-playground", "kernel_id": "40576593"}, {"ref": "jamesmcguigan/chatgpt-noteable-wrote-titanic-kaggle-competition", "kernel_id": "40044045"}, {"ref": "glebmikh/leila-titanic", "kernel_id": "40510363"}, {"ref": "leinard/titanic-eda-and-rforest", "kernel_id": "40969375"}, {"ref": "kim145/titanic-eda-xgb-lr-rfc-bc", "kernel_id": "40926912"}, {"ref": "alexjslessor/bens-titanic", "kernel_id": "40479358"}, {"ref": "juanlu/data-exploration", "kernel_id": "40080650"}, {"ref": "juanlu/titanic-modelling", "kernel_id": "40105287"}, {"ref": "raghavendrakotala/pandas-toturial", "kernel_id": "40147276"}, {"ref": "justjun0321/intro-to-statistics-using-heights-weights", "kernel_id": "40843068"}, {"ref": "germany221/top-logistic-regression-method-titanic-notebook", "kernel_id": "40129631"}, {"ref": "prasanth07/titanic-advanced-feature-engineering-tutorial", "kernel_id": "40378422"}, {"ref": "yvonne1992/titanicpredictions", "kernel_id": "40414410"}, {"ref": "psculley3/notebook1bc8c0bb04", "kernel_id": "40021406"}, {"ref": "amithsbhat/notebook7e636ccf55", "kernel_id": "40250589"}, {"ref": "nikkitha8/lesson-5-neural-network-from-scratch", "kernel_id": "40370042"}, {"ref": "leodaniel/are-you-lucky", "kernel_id": "40605497"}, {"ref": "motohiro/notebooke9b25a365d", "kernel_id": "40004367"}, {"ref": "joebeachcapital/titanic-eda-feature-engineering-models-ensemble", "kernel_id": "40039961"}, {"ref": "joebeachcapital/titanic-tutorial-quickstarter", "kernel_id": "40862100"}, {"ref": "dedkoster/explore-mahalanobis", "kernel_id": "40322275"}, {"ref": "anirudhsaber/titanic-submission", "kernel_id": "40065120"}, {"ref": "krishnaraj30/data-science-complete-work-flow", "kernel_id": "40049158"}, {"ref": "krishnaraj30/kaggle-competition-titanic-dataset-beginner-python", "kernel_id": "40461885"}, {"ref": "noemelo/titanic-primer-modelo", "kernel_id": "40373398"}, {"ref": "movich/titanic-neural-nets", "kernel_id": "40442328"}, {"ref": "sudharsanbabu/titanic-dataset-logistic-regression", "kernel_id": "40130606"}, {"ref": "abhishekkohli27/disaster-classification-ml-competition", "kernel_id": "40841107"}, {"ref": "priyark/eda-for-titanic", "kernel_id": "40024456"}, {"ref": "derekxue/titanic-fastai", "kernel_id": "40849168"}, {"ref": "zeppellinn/workshop", "kernel_id": "40551214"}, {"ref": "crimsoneer/ml-for-senior-leaders-workshop-complete", "kernel_id": "40520626"}, {"ref": "crimsoneer/ml-for-senior-leaders-workshop-tutorial", "kernel_id": "40579189"}, {"ref": "crimsoneer/rapid-data-science-for-senior-leaders-tutorial", "kernel_id": "40869924"}, {"ref": "crimsoneer/rapid-data-science-for-senior-leaders-complete", "kernel_id": "40784599"}, {"ref": "bumnyeong/submit-prediction-with-pytorch-basic", "kernel_id": "40413351"}, {"ref": "ahmed2019h/titanic-learning", "kernel_id": "40057105"}, {"ref": "ronfswanson/titanicfromlocal", "kernel_id": "40156970"}, {"ref": "mountain0jin/230709-titanic", "kernel_id": "40847988"}, {"ref": "rachelcost/intro-to-pandas", "kernel_id": "40786442"}, {"ref": "celalelver/titanic-data-eda", "kernel_id": "40151583"}, {"ref": "keisukenemoto/202307-titanic-predicton-eda", "kernel_id": "40745494"}, {"ref": "radhakrishnanb/titanic-baseline", "kernel_id": "40188427"}, {"ref": "yoonhodavidna/xgboost", "kernel_id": "40809595"}, {"ref": "yoonhodavidna/titanic-tutorial", "kernel_id": "40498049"}, {"ref": "haridasabr/titanic", "kernel_id": "40670364"}, {"ref": "praoiticica/titanic-decision-trees", "kernel_id": "40414697"}, {"ref": "keelanoliverbutler/titanic-modelling", "kernel_id": "40761523"}, {"ref": "tabularasar/titanicpredictions", "kernel_id": "40405670"}, {"ref": "bitcoinftw/titanice-surviver-nn-prediction", "kernel_id": "40632174"}, {"ref": "hexedkid/random-forest-titanic-survival", "kernel_id": "40188445"}, {"ref": "asifihtemadulhaque/titanic-random-forest", "kernel_id": "40156760"}, {"ref": "sudhirpsrathore/titanic", "kernel_id": "40766395"}, {"ref": "assem22/titanic-machine-learning-from-disaster-dt-93-7", "kernel_id": "40707223"}, {"ref": "sanjanareji/titanic-test-predictions", "kernel_id": "40202881"}, {"ref": "akiratanihata/titanic-lightgbm", "kernel_id": "40360775"}, {"ref": "akihiromatsuyama/titanic-12", "kernel_id": "40231845"}, {"ref": "akihiromatsuyama/titanic-1", "kernel_id": "40262666"}, {"ref": "inbeomspring/hainbeom", "kernel_id": "40186306"}, {"ref": "raviranjanyadav/titanic-dataset-analysis", "kernel_id": "40813740"}, {"ref": "mokarbeenansari/exercise-arithmetic-and-variables", "kernel_id": "40134270"}, {"ref": "thomasmeiner/bluecast-automl", "kernel_id": "40363756"}, {"ref": "thomasmeiner/bluecast-automl-simple-baseline", "kernel_id": "40365269"}, {"ref": "riganeez/titanic-prediction-test", "kernel_id": "40124660"}, {"ref": "leities/titanic-first-steps", "kernel_id": "40230919"}, {"ref": "adhirahmadian/titanic-model-building-with-statistical-analysis", "kernel_id": "40686661"}, {"ref": "thomasdubail/titanic-a-full-study", "kernel_id": "40260153"}, {"ref": "fernandodiazdeleon/titanic-disaster", "kernel_id": "40669830"}, {"ref": "mohamedabdomm2/titanic", "kernel_id": "40278184"}, {"ref": "sosoyeong/titanic", "kernel_id": "40711405"}, {"ref": "hayatoyoneda/titanic-lightgbm", "kernel_id": "40143111"}, {"ref": "leilazintsemamoute/notebookb5b126eedc", "kernel_id": "40501502"}, {"ref": "eslamfouad/statistics-of-twitter-us-airline-sentiment", "kernel_id": "40064535"}, {"ref": "eslamfouad/statistics-behind-forecasting-models", "kernel_id": "40320782"}, {"ref": "affanazhar/titanic-data-wrangling", "kernel_id": "40762997"}, {"ref": "ahmedalaaelsayed/titanic-machine-learning-from-disaster", "kernel_id": "40587555"}, {"ref": "gulsahseher/prediction-model-for-the-titanic-dataset-using-mlp", "kernel_id": "40992288"}, {"ref": "stalleo/titanic-competition", "kernel_id": "40190439"}, {"ref": "rustamakimov/titanic-machine-learning-from-disaster", "kernel_id": "40991942"}, {"ref": "eliasjaffe/titanic-gradient-boost-hyperoptimization-w-optuna", "kernel_id": "40697499"}, {"ref": "eliasjaffe/jeong-taewoo-s-public-notebook-lgbm", "kernel_id": "40946123"}, {"ref": "eliasjaffe/hanzhang-fang-s-100-titanic-nb-with-real-data", "kernel_id": "40944275"}, {"ref": "warinthonthongkaew/titanic-survival-prediction", "kernel_id": "40862355"}, {"ref": "allepranavsudhan/titanic-survival-competition", "kernel_id": "40171378"}, {"ref": "mahdimurshed/decision-tree-2", "kernel_id": "40170814"}, {"ref": "narendrandlk/titanic-survivor-prediction-model", "kernel_id": "40810042"}, {"ref": "madenenivamsikrishna/titanic-notebook", "kernel_id": "40461688"}, {"ref": "muhammadmursaleen/titanic-notebook", "kernel_id": "40722206"}, {"ref": "atharvamartiwar/titanic-notebook-eda-ml", "kernel_id": "40780974"}, {"ref": "kamal040102/titanic-competition", "kernel_id": "40842252"}, {"ref": "saeedeheydarian/votingclassifier-in-imbpipeline", "kernel_id": "40270607"}, {"ref": "avanibhojwani/brn-ml-skill-assessment", "kernel_id": "40260657"}, {"ref": "ritiknipane/titanic-machine-learning-from-disaster-ritik", "kernel_id": "40360331"}, {"ref": "lyujuncen/notebook3fc30d9f95", "kernel_id": "40539553"}, {"ref": "joongram1/t2-1-titanic-simple-baseline", "kernel_id": "40152770"}, {"ref": "satshreya/getting-started-with-titanic-in-2023", "kernel_id": "40222735"}, {"ref": "shashankshukla123123/titanic-prediction", "kernel_id": "40792369"}, {"ref": "shinuk/titanic", "kernel_id": "40151330"}, {"ref": "swathiunnikrishnan/titanic-ml-classification-and-regression-models", "kernel_id": "40783772"}, {"ref": "markusdarkus/russia-forward-classification-titanic-0-77", "kernel_id": "40628843"}, {"ref": "sherifyasser/titanic-eda-and-classification", "kernel_id": "40877268"}, {"ref": "satoshishi/notebookf5969a18df", "kernel_id": "40463717"}, {"ref": "arico77/alex-rico-titanic-new-techniques", "kernel_id": "40650590"}, {"ref": "jamesmiano/randomforestclassifierontitanicdata", "kernel_id": "40540975"}, {"ref": "teenaborse/train-test-split-data", "kernel_id": "40685493"}, {"ref": "rahulsingh787/titanic-hyperparameter-training", "kernel_id": "40392598"}, {"ref": "gabrisal/notebook0b5a518dd6", "kernel_id": "40840786"}, {"ref": "jaigoyalb20ci018/titanic-competiton", "kernel_id": "40468375"}, {"ref": "daehob/my-first-titanic", "kernel_id": "40202525"}, {"ref": "ehteshamalikhan/titanic-eda-decisontree", "kernel_id": "40080174"}, {"ref": "priyanshu00/decision-tree-on-titanic-dataset", "kernel_id": "40045658"}, {"ref": "ilyaelper/titanic-machine-learning", "kernel_id": "40379704"}, {"ref": "mustafagerme/exercise-arithmetic-and-variables", "kernel_id": "40066098"}, {"ref": "mauroebordon/titanic-with-lu", "kernel_id": "40445469"}, {"ref": "g0nsalvus/titanic", "kernel_id": "40173214"}, {"ref": "mdonnye/titanic-survival-binary-clf-catboost", "kernel_id": "40624841"}, {"ref": "rahmaezzat66/classification-with-many-algorithms", "kernel_id": "40324101"}, {"ref": "suraj520/40-pandas-functions-their-polars-equivalent", "kernel_id": "40593854"}, {"ref": "nutanpasalkar/getting-started-with-titanic", "kernel_id": "40122412"}, {"ref": "vedantrajpurohit/titanic-survived-passengers-classification", "kernel_id": "40942274"}, {"ref": "hardikarora24/titanic0", "kernel_id": "40465100"}, {"ref": "kapilnahariya/titanic-dataset-logistic-regression", "kernel_id": "40334173"}, {"ref": "kapilnahariya/titanic-ml-randomforest", "kernel_id": "40168621"}, {"ref": "vishalrsm/titanic-feature-engineering", "kernel_id": "40756469"}, {"ref": "bogdanyatsenko/titanic-survived-predictions", "kernel_id": "40357607"}, {"ref": "adilhabib/titanic-competition-1", "kernel_id": "40280294"}, {"ref": "hudaquazi/titanic-machine-learning-using-random-forest", "kernel_id": "40753088"}, {"ref": "kyeongsupchoi/titanic", "kernel_id": "40145881"}, {"ref": "dhruvch121/titanic-survival-using-r-decision-tree", "kernel_id": "40156456"}, {"ref": "aaditshukla/ttt-using-sklearn", "kernel_id": "40148209"}, {"ref": "ahmedhasssan01/titanic-ship-eda-prediction-deployment", "kernel_id": "40997981"}, {"ref": "asns2001/qmind-workshop-1", "kernel_id": "40607861"}, {"ref": "miladrasooli/titanic", "kernel_id": "40714022"}, {"ref": "nyinyeinaung/space-titanic-prediction-using-rnn", "kernel_id": "40621383"}, {"ref": "michaelwafik/titanic-death-prediction-model", "kernel_id": "40543307"}, {"ref": "parikshiturs/titanic-survival-prediction", "kernel_id": "40454028"}, {"ref": "kaipo1467/notebook5771bf36e3", "kernel_id": "40315982"}, {"ref": "lbrandwo/titanic-competition-follow-along-tutorial", "kernel_id": "40851655"}, {"ref": "parthareja/titanic-classification-problem", "kernel_id": "40688655"}, {"ref": "harpreetsinghsahota/titanic-machine-learning-from-disaster", "kernel_id": "40163760"}, {"ref": "muskanjha30/titanic", "kernel_id": "40062198"}, {"ref": "yutosakaguchi/notebook76c00d710b", "kernel_id": "40309331"}, {"ref": "kelixirr/titanic-survivors-end-to-end-project", "kernel_id": "40679682"}, {"ref": "kentausui/mini-test", "kernel_id": "40418897"}, {"ref": "ishigakiryuto/notebook98b4077424", "kernel_id": "40513526"}, {"ref": "mustafasoner/titanic", "kernel_id": "40666592"}, {"ref": "rosebamford/rose-titanic-2-july-2023", "kernel_id": "40687434"}, {"ref": "chanchal24/titanic-dataset-3", "kernel_id": "40093280"}, {"ref": "chanchal24/titanic-dataset-2", "kernel_id": "40058058"}, {"ref": "chetangavali/titanic", "kernel_id": "40333632"}, {"ref": "emonrks/copy-paste-kaggle", "kernel_id": "40164687"}, {"ref": "leilaaliha/titanic", "kernel_id": "40132022"}, {"ref": "abdulhamidabdullahi/ahora-el-es-momento", "kernel_id": "40238224"}, {"ref": "takahisaiwaki/notebookdf60615da3", "kernel_id": "40305810"}, {"ref": "adarshcgowda/enjoy-learn-titanic-survival-beginner-guide", "kernel_id": "40564711"}, {"ref": "happygerypangestu/titanic-datasets", "kernel_id": "40789160"}, {"ref": "booleanwolf/titanic-ml-project-1", "kernel_id": "40602269"}, {"ref": "cybersimar08/ml-models-from-scratch", "kernel_id": "40287125"}, {"ref": "khoshbayani/titanic-comparing-scores-of-different-classifiers", "kernel_id": "40821998"}, {"ref": "rahulj0shi/fitting-various-models-for-titanic", "kernel_id": "40592237"}, {"ref": "ahmadalqawasmeh/titanic-survival-classification-guide-high-acc", "kernel_id": "40805073"}, {"ref": "spacecowgirl/notebook1fbf34c3bd", "kernel_id": "40559751"}, {"ref": "sakutt/first-action-kaggle", "kernel_id": "40479219"}, {"ref": "elakiyasekar/titanic", "kernel_id": "40745878"}, {"ref": "alhousainycs/titanic-classfication-code", "kernel_id": "40437227"}, {"ref": "youssefyasserali/titanic", "kernel_id": "40776365"}, {"ref": "ashadqureshi/titanicsurvivor", "kernel_id": "40313451"}, {"ref": "yukiono0620/notebook7ffaa885dc", "kernel_id": "40985602"}, {"ref": "jovanchua/titanic", "kernel_id": "40014917"}, {"ref": "erenkzlrmak/best-titanic-version", "kernel_id": "40508164"}, {"ref": "denisshpilka/titanic-little-eda-models-comparison", "kernel_id": "40831316"}, {"ref": "sumantamanna/titanic-dataset-logistic-regression", "kernel_id": "40307513"}, {"ref": "itsgyubi/score-0-75", "kernel_id": "40182271"}, {"ref": "itsgyubi/py-t1-1-iqr-expected-questions", "kernel_id": "40181281"}, {"ref": "alexibal/titanic", "kernel_id": "40301601"}, {"ref": "tymtam/titanic-notebook", "kernel_id": "40806035"}, {"ref": "hariharan0708/titanic-survival", "kernel_id": "40604833"}, {"ref": "jorjo2009/titanic-analyze-and-predict", "kernel_id": "40167870"}, {"ref": "vladimirrpereverzev/titanic-using-sns-sklearn-prepcroc-pipeline-clust", "kernel_id": "40631393"}, {"ref": "abdulkhaleel/titanic-survival-prediction-using-abc", "kernel_id": "40476027"}, {"ref": "aliogulcanet/titanic-survival-prediction", "kernel_id": "40244814"}, {"ref": "kishoreramb/titanic-survival-prediction", "kernel_id": "40728696"}, {"ref": "ragulanand/titanic-dataset-for-ml-0-9-accuracy", "kernel_id": "40650707"}, {"ref": "dhileepkumar4366/titanic-using-ml", "kernel_id": "40487969"}, {"ref": "sinanbavli04/titanic-suviving-prediction", "kernel_id": "40435472"}, {"ref": "demiladedgreat/titanic-dataset-competition-trial", "kernel_id": "40000129"}, {"ref": "ayberkdemir/titanic-eda-grid-search", "kernel_id": "40240630"}, {"ref": "utkmal/titanic-prediction-using-random-forests", "kernel_id": "40419636"}, {"ref": "nabinoli2004/titanic11", "kernel_id": "40755568"}, {"ref": "kaggleprollc/titanic-data-rf", "kernel_id": "40677445"}, {"ref": "sdwe123d/using-tennsorflow-and-decision-forest", "kernel_id": "40365407"}, {"ref": "ramzesii/fc-network", "kernel_id": "40771685"}, {"ref": "ramzesii/xgboost-classifier", "kernel_id": "40766379"}, {"ref": "ramzesii/random-forest", "kernel_id": "40758751"}, {"ref": "ramzesii/logistic-regression-and-knn", "kernel_id": "40756592"}, {"ref": "ramzesii/xgboost-classifier-v2", "kernel_id": "40892662"}, {"ref": "saadaltamari/titanic-broject", "kernel_id": "40724329"}, {"ref": "tawfikelmetwally/titanic-analysis-and-modeling", "kernel_id": "40768560"}, {"ref": "cj1234567890/titanic-pred-with-rf", "kernel_id": "40412088"}, {"ref": "yunsuxiaozi/start-machine-learning", "kernel_id": "40721026"}, {"ref": "afanasevdenis/titanic-plotly-express", "kernel_id": "40661883"}, {"ref": "dhevmugunddhana333/titanic-comp", "kernel_id": "40448157"}, {"ref": "sayedgamal99/titanic-eda-and-classification", "kernel_id": "40584598"}, {"ref": "tanvirkabir/titanic1", "kernel_id": "40207768"}, {"ref": "akshitsharma1/random-forest-is-all-you-need", "kernel_id": "40132464"}, {"ref": "maryanalyze/titanic-mlp-pytorch-raw-input-to-submission", "kernel_id": "40399167"}, {"ref": "davidriverac/first-competition-feedback-is-appreciated", "kernel_id": "40616579"}, {"ref": "mimimio/notebookc50dc0439c", "kernel_id": "40390664"}, {"ref": "fatimaezzahraares/notebook89717ff4f4", "kernel_id": "40656306"}, {"ref": "shizryu/titanic-submission-kdz", "kernel_id": "40398036"}, {"ref": "wesleypdasilva/desafio-titanic-random-forest", "kernel_id": "40636555"}, {"ref": "vishalsingh55/eda-on-titanic", "kernel_id": "40978096"}, {"ref": "shunyaohmoto/notebook92d8295ade", "kernel_id": "40558100"}, {"ref": "yasminaaa/did-you-find-them", "kernel_id": "40262493"}, {"ref": "chakrounezzeddine/titanic-disaster-prediction-process", "kernel_id": "40016238"}, {"ref": "arunjangir245/titanic-machine-learning-logistic-regression", "kernel_id": "40891142"}, {"ref": "arunjangir245/titanic-machine-learning-decisiontreeclassifier", "kernel_id": "40894962"}, {"ref": "mindoflogicalfire/titanic1", "kernel_id": "40199658"}, {"ref": "aliciajones83/titanic", "kernel_id": "40857619"}, {"ref": "adveatprasadkarnik/titanic-dataset-predictor-with-9-different-models", "kernel_id": "40041256"}, {"ref": "mohmujeeb/titanic-survival-using-decision-tree", "kernel_id": "40029926"}, {"ref": "ivanlydkin/original-feature-for-titanic", "kernel_id": "40846896"}, {"ref": "shrutirai88/titanic-ml", "kernel_id": "40583332"}, {"ref": "cookies97/who-survives-the-titanic-shipwreck", "kernel_id": "40108530"}, {"ref": "furduisorinoctavian/titanic-with-neural-networks-78", "kernel_id": "40600354"}, {"ref": "agiyogi/how-random-forests-really-work", "kernel_id": "40512387"}, {"ref": "ilya2raev/titanic-with-knn-top-7", "kernel_id": "40677984"}, {"ref": "iamshivaprakash/titanic-prediction-without-hyperparameters-tuning", "kernel_id": "40779921"}, {"ref": "whoasked0/titanic", "kernel_id": "40099649"}, {"ref": "vbhavyasree/getting-started-titanic", "kernel_id": "40086831"}, {"ref": "sainikhil26/titanic-ensemble-model-with-hyper-tuning", "kernel_id": "40991762"}, {"ref": "somboonpradit/titanic-classification-for-beginner", "kernel_id": "40782648"}, {"ref": "karthikreddy77/titanic-competition", "kernel_id": "40246030"}, {"ref": "kylwood/titanic-analysis", "kernel_id": "40058385"}, {"ref": "enricopiffer/titanic-hands-on-with-random-forest", "kernel_id": "40437281"}, {"ref": "obsidixn/titanic-ds", "kernel_id": "40598518"}, {"ref": "aadhawanm/learn-statistics-with-titanic-probability", "kernel_id": "40795175"}, {"ref": "muhammadawn/random-forest-classifier-beginner-solution", "kernel_id": "40755788"}, {"ref": "oluidiakhoa/notebook0d5da9cd65", "kernel_id": "40448099"}, {"ref": "arshjot123/titanic-baseline-dataset-notebook", "kernel_id": "40014165"}, {"ref": "parag2704/titanic-pm", "kernel_id": "40984763"}, {"ref": "suneelkumarpatel/titanic-gradient-boosting", "kernel_id": "40810098"}, {"ref": "tilakagrawalcoder/getting-started-with-titanic", "kernel_id": "40540790"}, {"ref": "gabrielluizone/titanic-machine-learning", "kernel_id": "40067820"}, {"ref": "baraamelhem/titaniccomp", "kernel_id": "40532251"}, {"ref": "mokshbaweja/revised-titanic", "kernel_id": "40213016"}, {"ref": "xiaoyuechen1024/notebookdb3115a8cd", "kernel_id": "40540704"}, {"ref": "lztxj1314/notebooka39d6cbf26", "kernel_id": "40312161"}, {"ref": "mifuniree/titanic-prediction-from-beginner", "kernel_id": "40354066"}, {"ref": "arnavsharma45/titanic-survival-prediction", "kernel_id": "40864596"}, {"ref": "akinert/titanic-logistic-regression-model", "kernel_id": "40204090"}, {"ref": "akinert/titanic-knn", "kernel_id": "40694232"}, {"ref": "akinert/titanic-ridge-regression", "kernel_id": "40723035"}, {"ref": "akinert/titanic-lasso", "kernel_id": "40725391"}, {"ref": "akinert/titanic-random-forests", "kernel_id": "40762388"}, {"ref": "akinert/titanic-bagging", "kernel_id": "40762796"}, {"ref": "akinert/titanic-decision-tree-classification", "kernel_id": "40757420"}, {"ref": "akinert/titanic-gradient-boosting", "kernel_id": "40791142"}, {"ref": "akinert/titanic-support-vector-machines", "kernel_id": "40859718"}, {"ref": "neoario/titanic-survival-binary-classification", "kernel_id": "40648943"}, {"ref": "zainabdribigi/supervised-learning-classification", "kernel_id": "40768801"}, {"ref": "eunjinan2022/titanic-challenge", "kernel_id": "40239812"}, {"ref": "sharonkwikiriza/titanic-starter-prediction", "kernel_id": "40325015"}, {"ref": "sumanrathaur/titanic-case-study", "kernel_id": "40215481"}, {"ref": "omarzanata/omar-zanata-ml-project-on-titanic-dataset", "kernel_id": "40369245"}, {"ref": "celvintus/notebookc13bb597ca", "kernel_id": "40292324"}, {"ref": "prashantadas44/titanic-survival-data-analysis", "kernel_id": "40501778"}, {"ref": "aakash013/titanic-survival-predictons", "kernel_id": "40891185"}, {"ref": "zmusaddique/titanic-ii", "kernel_id": "40130179"}, {"ref": "pooranjoyb/titanic-survival-prediction", "kernel_id": "40453746"}, {"ref": "hisoonni/py-t1-1-iqr-expected-questions", "kernel_id": "40193619"}, {"ref": "lirongo/exercise-3-liron", "kernel_id": "40237103"}, {"ref": "ahmedcare/ahmed-titanic-notebook", "kernel_id": "40022936"}, {"ref": "abhikalpsrivastava15/titanic-kaggle-competition", "kernel_id": "40608561"}, {"ref": "ginzen/titaniceda", "kernel_id": "40170019"}, {"ref": "merveoztiryaki/exercise-arithmetic-and-variables", "kernel_id": "40578300"}, {"ref": "kakarottoandroid/notebook-one-lhex", "kernel_id": "40598148"}, {"ref": "natgurlain/titanic-machine-learning-from-disaster", "kernel_id": "40194986"}, {"ref": "haseebahmedkhan1504/notebook662b3421d2", "kernel_id": "40398265"}, {"ref": "madushands/titanic", "kernel_id": "40305667"}, {"ref": "ashokpetro21/titanic-survivers-project", "kernel_id": "40569700"}, {"ref": "ziyodullogaybullaev/titanic-basic-solution-using-adaboost", "kernel_id": "40721660"}, {"ref": "amirpril/getting-started-with-titanic", "kernel_id": "40296891"}, {"ref": "janhavigangurde0111/titanic-prediction", "kernel_id": "40284536"}, {"ref": "kiyoedax/startertitanic", "kernel_id": "40811257"}, {"ref": "aman1320/titanic-tutorial", "kernel_id": "40528341"}, {"ref": "aravinddudam01/titanic-machine-learning-from-disaster", "kernel_id": "40441630"}, {"ref": "rameshvhanamane/titanic-make-pipelines-practice-1", "kernel_id": "40807785"}, {"ref": "hackerlzh/titanic-machine-learning-from-disaster", "kernel_id": "40230345"}, {"ref": "huseyincenik/titanic-eda-statistical-analysis-and-prediction", "kernel_id": "40849548"}, {"ref": "katattu/notebook988f7233e2", "kernel_id": "40525084"}, {"ref": "osmanerkekol/titanic-prediction-project", "kernel_id": "40943562"}, {"ref": "goyaladi/titanic-survival-model-deployment", "kernel_id": "40876516"}, {"ref": "augustinefilestudy/uas-data-analytic-sem-6", "kernel_id": "40607030"}, {"ref": "danieleerbi/titanic-survival-prediction", "kernel_id": "40158205"}, {"ref": "himrajdas/titanic-dataset", "kernel_id": "40371280"}, {"ref": "animonte/desafio-titanic", "kernel_id": "40793574"}, {"ref": "arsenykirillov/titanic-eda", "kernel_id": "40404544"}, {"ref": "richardlimanalytics/titanic-random-forest", "kernel_id": "40136237"}, {"ref": "bhandarisahil/titanic", "kernel_id": "40415250"}, {"ref": "luccaz/titanic", "kernel_id": "40745110"}, {"ref": "wigglejimmy/titanic-paper", "kernel_id": "40156202"}, {"ref": "shimaazizi/titanic", "kernel_id": "40557512"}, {"ref": "raihankabirchoudhury/getting-started-with-titanic", "kernel_id": "40968836"}, {"ref": "abhishekbagwan/exercise-arithmetic-and-variables", "kernel_id": "40358882"}, {"ref": "syfonseca/aed-titanic", "kernel_id": "40773462"}, {"ref": "salazhiev/randomforests-with-scikitlearn", "kernel_id": "40790008"}, {"ref": "hemalathaladi/exercise-arithmetic-and-variables", "kernel_id": "40128839"}, {"ref": "yupuliu/titanic-machine-learning-from-disaster", "kernel_id": "40530628"}, {"ref": "nikollasantes/notebookc87ba0282e", "kernel_id": "40944039"}, {"ref": "znuryilmazsezgnba/titanic-eda", "kernel_id": "40839585"}, {"ref": "jneulha/notebookaf0d40ef30", "kernel_id": "40512936"}, {"ref": "justinabriend/exercise-arithmetic-and-variables", "kernel_id": "40905266"}, {"ref": "yennhivu/predicting-survivals-on-titanic", "kernel_id": "40985219"}, {"ref": "ashmitcajla/titanic-detailed-notebook", "kernel_id": "40880919"}, {"ref": "damongeelen/titanic-machine-learning-from-disaster", "kernel_id": "40524478"}, {"ref": "aspoorna/titanic-using-logisticregression", "kernel_id": "40227866"}, {"ref": "kkamal2003/titanic", "kernel_id": "40826225"}, {"ref": "francolim/t2-1-titanic-simple-baseline", "kernel_id": "40231618"}, {"ref": "sumanthnarasimhulu/titanic-survival-prediction", "kernel_id": "40296281"}, {"ref": "ankitrajput77/random-forest-classifier", "kernel_id": "40499219"}, {"ref": "yazeedalsahouri03/titanic-prediction", "kernel_id": "40630911"}, {"ref": "vivekdalal30/titanic-ml-v01", "kernel_id": "40557480"}, {"ref": "thefortunetellers/first-notebook", "kernel_id": "40426947"}, {"ref": "adelinmil/titanic-feature-transformations-grid-search", "kernel_id": "40623195"}, {"ref": "diyorarti/prediction-of-titanic-passengers-survive-by-lr", "kernel_id": "40461488"}, {"ref": "lizasareen/principal-component-analysis", "kernel_id": "40814867"}, {"ref": "lizasareen/titanic-baseline", "kernel_id": "40014414"}, {"ref": "xiaoyuinn/titanic-machine-learning-from-disaster", "kernel_id": "40821910"}, {"ref": "xiaoyuinn/xgboost-titanic", "kernel_id": "40875866"}, {"ref": "samakshahuja605/notebook43336bbd5b", "kernel_id": "40001366"}, {"ref": "samakshahuja605/titanic-baseline", "kernel_id": "40000209"}, {"ref": "arshnoor7389/titanic-baseline", "kernel_id": "40014134"}, {"ref": "arshnoor7389/titanic", "kernel_id": "40065560"}, {"ref": "mandu33/logistic", "kernel_id": "40036143"}, {"ref": "tusharnarkhede/titanic-prediction", "kernel_id": "40678729"}, {"ref": "aayushi03puri/titanic-baseline", "kernel_id": "40014146"}, {"ref": "namangoyal3246/titanic-baseline", "kernel_id": "40014116"}, {"ref": "leonardobaf/exercise-arithmetic-and-variables", "kernel_id": "40015308"}, {"ref": "zakiki/notebook1f1d603f26", "kernel_id": "40470733"}, {"ref": "sryamada/notebook8d1c5b10f9", "kernel_id": "40541801"}, {"ref": "itouyoshiki/notebook", "kernel_id": "40343308"}, {"ref": "nisioka/notebookb136d2717c", "kernel_id": "40419099"}, {"ref": "nisioka/notebook05a9009b37", "kernel_id": "40419607"}, {"ref": "nisioka/notebookd1205c131c", "kernel_id": "40469809"}, {"ref": "yutainui/notebook3ce197e049", "kernel_id": "40560791"}, {"ref": "ranaimori/notebookea5265c2db", "kernel_id": "40309307"}, {"ref": "sugen05/notebookfb1611b568", "kernel_id": "40527665"}, {"ref": "cherryblossomtree/notebook53aa83843f", "kernel_id": "40351902"}, {"ref": "yoeshi/notebook78a1d4cb59", "kernel_id": "40376078"}, {"ref": "jesusgraterol/titanic-machine-learning-from-disaster", "kernel_id": "40703005"}, {"ref": "geetmukherjee/titanic-survival-ml", "kernel_id": "40088494"}, {"ref": "edizaguirre/getting-started-with-titanic", "kernel_id": "40069075"}, {"ref": "villemilio/first-attempt", "kernel_id": "40106852"}, {"ref": "faeqsu10/titanic-tutorial-1", "kernel_id": "40182615"}, {"ref": "asheeshjakhmola/titanic-ml-models-of-lr-rf-svc-knn-dt-gb", "kernel_id": "40841458"}, {"ref": "jeanpierretanguay/titanic-simple-nn-classification", "kernel_id": "40259824"}, {"ref": "h4ruk1/notebook20989c0c63", "kernel_id": "40497286"}, {"ref": "sezuna/notebookdc6e327902", "kernel_id": "40147908"}, {"ref": "nren21/notebook5546fa0ddd", "kernel_id": "40311179"}, {"ref": "keitamurayama/notebook56cb48f66a", "kernel_id": "40530200"}, {"ref": "tsuyoshishijiraya/notebookb0b0462072", "kernel_id": "40187717"}, {"ref": "anwufu/notebook11ca8a2005", "kernel_id": "40277123"}, {"ref": "shibainu3/notebook1dcc94f958", "kernel_id": "40154226"}, {"ref": "yokohiro88/notebook325433176e", "kernel_id": "40157563"}, {"ref": "orkunorulluolu/titanic-servived-prediction", "kernel_id": "40436640"}, {"ref": "gosael/eda-titanic-silver", "kernel_id": "40182759"}, {"ref": "gosael/eda-to-prediction-dietanic", "kernel_id": "40182093"}, {"ref": "yoonjungeo/yoonjung-eo", "kernel_id": "40186317"}, {"ref": "dreamy21/dreamy21-titanic-test", "kernel_id": "40186381"}, {"ref": "sohyeon001/jeongsohyeon", "kernel_id": "40186331"}, {"ref": "mrjongjun/parkjongjun", "kernel_id": "40186332"}, {"ref": "kimjaeyoung96/kjy-230620", "kernel_id": "40186310"}, {"ref": "me0511/notebookd58c95ecc6", "kernel_id": "40306354"}, {"ref": "khenheller/titanic", "kernel_id": "40384569"}, {"ref": "kaitonishimura/notebookd4afba81be", "kernel_id": "40232199"}, {"ref": "nenehashimura/notebook9dbdaf352b", "kernel_id": "40312490"}, {"ref": "raymagic/notebookafdc835147", "kernel_id": "40456377"}, {"ref": "yamagatahitomi/notebook1506b16e10", "kernel_id": "40227135"}, {"ref": "kydatascience/titanic-ky", "kernel_id": "40427361"}, {"ref": "kartikeybhalse/titanic", "kernel_id": "40761956"}, {"ref": "rgb07060/notebook4ec34a3f24", "kernel_id": "40487280"}, {"ref": "pulingyi/notebooke95cb410cc", "kernel_id": "40248527"}, {"ref": "andromedae/notebookd133cbfd38", "kernel_id": "40265832"}, {"ref": "yelenna23/notebook676d0127b4", "kernel_id": "40317785"}, {"ref": "pabreo/titanic-bagging-with-r", "kernel_id": "40422487"}, {"ref": "hotsumaoshima/notebook20490a6ef0", "kernel_id": "40315997"}, {"ref": "kagglehir/notebookf810d194cf", "kernel_id": "40266953"}, {"ref": "rikuuuuu/notebook9f1427418a", "kernel_id": "40557361"}, {"ref": "kudomoe/notebook236ef44b68", "kernel_id": "40268645"}, {"ref": "o20230622/notebookda21d88d77", "kernel_id": "40453830"}, {"ref": "unirai/notebooke009fdfd3a", "kernel_id": "40513704"}, {"ref": "tiarara/notebooka5b0a50ef8", "kernel_id": "40497149"}, {"ref": "maedaakihito/notebookbc72325948", "kernel_id": "40272792"}, {"ref": "maedaakihito/notebookf229310945", "kernel_id": "40312343"}, {"ref": "yuyaptpt/notebook7b6f4a52e5", "kernel_id": "40342376"}, {"ref": "pisces555/notebookda33b090ba", "kernel_id": "40314315"}, {"ref": "ibuki138/notebookb79cc55dc0", "kernel_id": "40491246"}, {"ref": "moeka12/notebookdec012a2ba", "kernel_id": "40494900"}, {"ref": "yuutata/notebook8d8895a869", "kernel_id": "40452685"}, {"ref": "yusakuichino/notebookceabeb5997", "kernel_id": "40539222"}, {"ref": "hirokitagami/notebook6626a62ec6", "kernel_id": "40548296"}, {"ref": "fujitaryo/notebookd3f839bb63", "kernel_id": "40319886"}, {"ref": "kawakamitaichiro/notebook3364b0cdb3", "kernel_id": "40304575"}, {"ref": "marthalaanuhyasree/exercise-arithmetic-and-variables", "kernel_id": "40288762"}, {"ref": "kazumichiiwamura/notebookc94eb9d7f7", "kernel_id": "40562047"}, {"ref": "mishimurausuke/notebook90ce653927", "kernel_id": "40513322"}, {"ref": "sabeenfatima/titanic-survival-analysis-harnessing-data-science", "kernel_id": "40803789"}, {"ref": "mushhroom/titanic-ben", "kernel_id": "40508717"}, {"ref": "mushhroom/notebook8d81db9c2e", "kernel_id": "40441152"}, {"ref": "markdsavoy/zombie-mitigation-plan-codename-titanic", "kernel_id": "40445755"}, {"ref": "hazalgltekin/titanic", "kernel_id": "40502987"}, {"ref": "yasumclover/notebookec17737f84", "kernel_id": "40410963"}, {"ref": "likelikecheese/notebookeb4ef7d2f2", "kernel_id": "40492801"}, {"ref": "niloypaultu/notebook6fa1f8a050", "kernel_id": "40525768"}, {"ref": "odakou1221/notebook11df29b0b2", "kernel_id": "40306431"}, {"ref": "hiromumatsumura/notebooka4d4a58c1e", "kernel_id": "40303999"}, {"ref": "ys0041/notebookfbc23a7ce2", "kernel_id": "40313469"}, {"ref": "ar4253/notebook8c362c9b3e", "kernel_id": "40525742"}, {"ref": "naveenkumarjangid/exploring-data-science", "kernel_id": "40306101"}, {"ref": "yugoyamamori/notebook46054226ae", "kernel_id": "40306212"}, {"ref": "tagg27/titanic-lightgbm-top-12", "kernel_id": "40306000"}, {"ref": "nakaihana/notebookf822b4391c", "kernel_id": "40313615"}, {"ref": "oyamadamizuki/notebook6b697ead03", "kernel_id": "40310129"}, {"ref": "inouetomoyaka/notebooke17848420c", "kernel_id": "40560663"}, {"ref": "nakamichi6123/notebookb5de4f3309", "kernel_id": "40307339"}, {"ref": "tomoya18/notebooktitanic", "kernel_id": "40308786"}, {"ref": "myomyomyo511/notebook64af31eb3c", "kernel_id": "40548211"}, {"ref": "yellowcakejp/notebook4e1c6374a9", "kernel_id": "40308783"}, {"ref": "sengokushuehi/notebook01226d3217", "kernel_id": "40308810"}, {"ref": "kanajo/notebookb9539414cf", "kernel_id": "40351087"}, {"ref": "ysdryhi/notebook4f578c0985", "kernel_id": "40352750"}, {"ref": "miyumatsuhiro/notebook2245676dd3", "kernel_id": "40309570"}, {"ref": "harachan/notebookd6f2230502", "kernel_id": "40309323"}, {"ref": "nikihirabayashi/notebook639854943a", "kernel_id": "40310465"}, {"ref": "asukapasuta7/notebook544771402e", "kernel_id": "40310426"}, {"ref": "okazakitakuya/notebookbfda311a52", "kernel_id": "40310237"}, {"ref": "yuto12210/notebook5b553dc373", "kernel_id": "40311951"}, {"ref": "higashimototakahiro/notebookafc809b447", "kernel_id": "40311845"}, {"ref": "kodaiikuta/notebook914ebe8c84", "kernel_id": "40312952"}, {"ref": "kantakaka/notebook3e0db6bbe4", "kernel_id": "40356952"}, {"ref": "nakaitomoki/notebook2dbe9ed346", "kernel_id": "40313560"}, {"ref": "minoritakasugi/notebook040261a6e5", "kernel_id": "40312906"}, {"ref": "mayunosaijo/notebook-titanic1", "kernel_id": "40531679"}, {"ref": "namelessmc/notebookaa761f263d", "kernel_id": "40312050"}, {"ref": "issssshy/notebook8ac5822b19", "kernel_id": "40312870"}, {"ref": "nomokazu/notebookb2aa866391", "kernel_id": "40312835"}, {"ref": "zheng35/notebooka3c33acded", "kernel_id": "40558044"}, {"ref": "amatohoge/notebook862ac316c1", "kernel_id": "40531524"}, {"ref": "syufuji/notebook425be7ebca", "kernel_id": "40501564"}, {"ref": "syamagami/notebook59c2378f9d", "kernel_id": "40511595"}, {"ref": "maruta7/notebook25e06fe797", "kernel_id": "40557486"}, {"ref": "shensining/notebook6d6f775895", "kernel_id": "40546253"}, {"ref": "soossos/notebook9f5e45e633", "kernel_id": "40315543"}, {"ref": "tatsuyafukuta/notebook589636cb8b", "kernel_id": "40313443"}, {"ref": "matsuokas/notebook011b3200fd", "kernel_id": "40317065"}, {"ref": "ichimura1931/notebookd1f0ac73a1", "kernel_id": "40313693"}, {"ref": "tateishinaoki/notebooke47dc8f0cf", "kernel_id": "40536665"}, {"ref": "tonoyuu/notebook3d98123407", "kernel_id": "40315720"}, {"ref": "harukaaa/notebook76dc937954", "kernel_id": "40495025"}, {"ref": "amakataharuki/notebook79a65e9ddf", "kernel_id": "40314844"}, {"ref": "huuname/notebooka3771104b0", "kernel_id": "40314780"}, {"ref": "nishitaniryuki/notebookb8b6a6f337", "kernel_id": "40314848"}, {"ref": "akkunn/notebook4b7675d905", "kernel_id": "40549547"}, {"ref": "yugokk/notebook33d96d2653", "kernel_id": "40315050"}, {"ref": "motoyanii/notebook8b86e1d10f", "kernel_id": "40315379"}, {"ref": "minaym/notebook4de98caccf", "kernel_id": "40557478"}, {"ref": "wwwyer/notebook055b8b7e1f", "kernel_id": "40315189"}, {"ref": "suzukishota888/notebookaf27bb09c8", "kernel_id": "40315381"}, {"ref": "inoue6123340375/notebook59e09ab004", "kernel_id": "40315378"}, {"ref": "hirototakeda/notebook7389a67fd5", "kernel_id": "40319046"}, {"ref": "hirotakakawaguchi/notebookb739811c7f", "kernel_id": "40533578"}, {"ref": "changyiucheng/notebook0f6814888f", "kernel_id": "40317747"}, {"ref": "fujiekai/notebook186768f501", "kernel_id": "40503725"}, {"ref": "kishiue/notebook29612d17b6", "kernel_id": "40319592"}, {"ref": "kitayusuke/notebook942ac51520", "kernel_id": "40560175"}, {"ref": "toriiyuka/notebook7454596792", "kernel_id": "40993528"}, {"ref": "soraueda/notebook9a6c8d80c5", "kernel_id": "40318907"}, {"ref": "ayuishii/notebooke7abefcd35", "kernel_id": "40319582"}, {"ref": "jotoyoshima/notebook9e2e388c64", "kernel_id": "40533747"}, {"ref": "alincosan/notebook101b561020", "kernel_id": "40325685"}, {"ref": "wataruanji/notebookb2d7052f7b", "kernel_id": "40533597"}, {"ref": "maruyamajunya2/notebook4fbafaadce", "kernel_id": "40413368"}, {"ref": "kawamitatsuma/notebook8c8fd61103", "kernel_id": "40558422"}, {"ref": "kanjikawahara/notebook3b09c618e4", "kernel_id": "40329409"}, {"ref": "maya0126/notebook567222f06e", "kernel_id": "40346607"}, {"ref": "gotokaito/notebook969fbc250e", "kernel_id": "40348307"}, {"ref": "ryuseitakeshita/notebookb0406fa96f", "kernel_id": "40499235"}, {"ref": "us1210/notebook232ba80418", "kernel_id": "40350725"}, {"ref": "nagaiyumasyakiba/notebook78f9353598", "kernel_id": "40351651"}, {"ref": "multiplier1024/akamatsu-notebook-titanic-analysis", "kernel_id": "40535634"}, {"ref": "watanabet/notebookf8eb23bed8", "kernel_id": "40354567"}, {"ref": "datasciencestat/titanic-dataset-kaggle-competition-beginner-python", "kernel_id": "40356465"}, {"ref": "chaitanyadj/getting-started-with-titanic-chaitanya", "kernel_id": "40359075"}, {"ref": "anubhav5201/notebooka2434821a1", "kernel_id": "40358473"}, {"ref": "nakanotaiki/notebook7db1945cf1", "kernel_id": "40379420"}, {"ref": "akinonaitoh/notebook1fff33e2ff", "kernel_id": "40378974"}, {"ref": "ky12144869/notebook73a6c459d9", "kernel_id": "40379807"}, {"ref": "takenaka1192/notebook8c5a867939", "kernel_id": "40385076"}, {"ref": "kenymm/notebook765075fdff", "kernel_id": "40389620"}, {"ref": "ktaokaryota/notebook-titanic", "kernel_id": "40393192"}, {"ref": "mikesda/titanic-death-prediction", "kernel_id": "40640107"}, {"ref": "mariushinsberger/getting-started-with-titanic", "kernel_id": "40702459"}, {"ref": "ichitake/notebooka7cef2b5ea", "kernel_id": "40420910"}, {"ref": "mutominoru/notebook3affd6170f", "kernel_id": "40408235"}, {"ref": "shomafujita/notebookd1a62e4a67", "kernel_id": "40411343"}, {"ref": "lin0224/notebook9ac9cd1c39", "kernel_id": "40420169"}, {"ref": "lin0224/notebookfd6e7245d6", "kernel_id": "40419527"}, {"ref": "hayamitihirotaka/notebook2888ec899a", "kernel_id": "40417885"}, {"ref": "yutoimagawa/notebook33bfbc9761", "kernel_id": "40487709"}, {"ref": "nonamiyagi/notebooka740eb0d15", "kernel_id": "40417963"}, {"ref": "shimadamirei/notebookb1a15fb196", "kernel_id": "40454010"}, {"ref": "naganohiroki/notebookf0f82bbc65", "kernel_id": "40422020"}, {"ref": "kuliki/notebook8275f18305", "kernel_id": "40497328"}, {"ref": "hiraishiyuya/notebook04c6c14988", "kernel_id": "40427099"}, {"ref": "toitsuboi/notebook76f14acfa4", "kernel_id": "40424913"}, {"ref": "bishalshil/titanic-dataset-bishal", "kernel_id": "40510823"}, {"ref": "hatsudanaoki/notebookfd14ff32f7", "kernel_id": "40449651"}, {"ref": "tobitanaoki/notebook8fbe2a6061", "kernel_id": "40448284"}, {"ref": "c612332019/notebooka686400f12", "kernel_id": "40469190"}, {"ref": "watanabe0893/notebook504cdf0eac", "kernel_id": "40435683"}, {"ref": "watanabe0893/notebookb528e48778", "kernel_id": "40435274"}, {"ref": "shokushwaha/titanic-predicition", "kernel_id": "40607564"}, {"ref": "kantasakamoto/notebook927defdaed", "kernel_id": "40449278"}, {"ref": "tangyuanhaoyuan/stater1", "kernel_id": "40452250"}, {"ref": "shintarokomatsu/notebook60c02da394", "kernel_id": "40452681"}, {"ref": "asumi0706/notebook57545c1008", "kernel_id": "40453747"}, {"ref": "hayatemurakami/notebook2655e0e107", "kernel_id": "40496396"}, {"ref": "sftmadd/notebook568a1a8316", "kernel_id": "40454925"}, {"ref": "shimaharahisui/notebookb8f1f14754", "kernel_id": "40488330"}, {"ref": "chikatofurukawa/notebook7656b15819", "kernel_id": "40492756"}, {"ref": "hide14/notebookb40a1c738f", "kernel_id": "40456327"}, {"ref": "zhiwshi/notebookfa25180b61", "kernel_id": "40456286"}, {"ref": "masashitakayama/notebook9a6fe23878", "kernel_id": "40456685"}, {"ref": "masakazusugiyama/titanic", "kernel_id": "40456760"}, {"ref": "tatsuyamiyake/notebook98b92c1606", "kernel_id": "40457421"}, {"ref": "naotonakayama/notebookd23e9116b4", "kernel_id": "40457840"}, {"ref": "frdsgt/notebook1e8bcd7b57", "kernel_id": "40495278"}, {"ref": "kinoko29/notebook191b19d4cd", "kernel_id": "40460339"}, {"ref": "leechingyee/titanic-tpot", "kernel_id": "40872282"}, {"ref": "mimuratstsuya/notebook57f820c7ab", "kernel_id": "40461449"}, {"ref": "ohgatasyogo/notebook654320aaac", "kernel_id": "40461937"}, {"ref": "sasakikeigo/notebookbbf37ebdac", "kernel_id": "40463429"}, {"ref": "masakifujita/notebookcf37d6591e", "kernel_id": "40468096"}, {"ref": "hikarushimizui/notebooka7111fb1ce", "kernel_id": "40469800"}, {"ref": "utsunomiya36/notebook6a0675c572", "kernel_id": "40472962"}, {"ref": "keisakisa/notebook606febb44b", "kernel_id": "40473537"}, {"ref": "yoonheng/yh-ml2", "kernel_id": "40486927"}, {"ref": "inouetomoaki/notebookac08a9b1cc", "kernel_id": "40504015"}, {"ref": "ooikaijun/titanic-prediction-ww26-3-kj", "kernel_id": "40490739"}, {"ref": "ooikaijun/titanic-sklearn-ww26-3-kj", "kernel_id": "40493563"}, {"ref": "hiro1315/notebookb191c0bfdc", "kernel_id": "40558415"}, {"ref": "miyakeryota/notebookd565580087", "kernel_id": "40488179"}, {"ref": "mt1279/notebook85e2dcb485", "kernel_id": "40488475"}, {"ref": "kotarohosono/notebookfacab369f8", "kernel_id": "40488333"}, {"ref": "ryuseifukunaga/notebook335fea7519", "kernel_id": "40489309"}, {"ref": "kamekame26/notebookf52a8e32d4", "kernel_id": "40530497"}, {"ref": "nushida/notebook2c6a2bd7d1", "kernel_id": "40529414"}, {"ref": "matsuokaatsushi2/notebookaa340ef468", "kernel_id": "40492063"}, {"ref": "ohkuboyusei/notebook6805d8e9b7", "kernel_id": "40490869"}, {"ref": "akitoshinya/ds-titanic-06-23", "kernel_id": "40490841"}, {"ref": "yutaarn/notebookbc5f64630a", "kernel_id": "40491138"}, {"ref": "stevenchung23/exercise-arithmetic-and-variables", "kernel_id": "40492561"}, {"ref": "takehi/notebookbb0949b441", "kernel_id": "40503389"}, {"ref": "koshino000/notebookccff4fb0a4", "kernel_id": "40493367"}, {"ref": "c612335021/notebook7463eedd64", "kernel_id": "40494106"}, {"ref": "shimizukuta/notebookf62bbd9d1f", "kernel_id": "40494035"}, {"ref": "user202207/notebookb4d4dd6c73", "kernel_id": "40494642"}, {"ref": "tgdaiki/notebook675e854f06", "kernel_id": "40495037"}, {"ref": "matsubarayuki/notebook310220a083", "kernel_id": "40495033"}, {"ref": "takuyanakamura1999/notebook749ed24a5e", "kernel_id": "40497764"}, {"ref": "tomanakagawa/notebook6bdbacba34", "kernel_id": "40495074"}, {"ref": "ouhakugen/notebook55ac65c3b3", "kernel_id": "40503038"}, {"ref": "rina1225/notebook2fada513a3", "kernel_id": "40510934"}, {"ref": "karura25/notebook0e843ad40c", "kernel_id": "40532392"}, {"ref": "sayakatsukasaki/notebookef4096374e", "kernel_id": "40559028"}, {"ref": "maedaryogo/notebooka00f675b55", "kernel_id": "40496035"}, {"ref": "hamara23/notebookda983abea7", "kernel_id": "40530431"}, {"ref": "yokomitaiki/notebook9ae965508e", "kernel_id": "40514666"}, {"ref": "hayatohiramatsu/notebook8cff37547f", "kernel_id": "40496777"}, {"ref": "nikumi293/notebook44ef9a5235", "kernel_id": "40517079"}, {"ref": "shunsukeyuyama/notebookaff7f46757", "kernel_id": "40558005"}, {"ref": "bbss1818/ds10-08b697898c", "kernel_id": "40498694"}, {"ref": "satoshidoto/notebook8f26005eba", "kernel_id": "40500400"}, {"ref": "fujii08/notebook8e2d7cb6b7", "kernel_id": "40558402"}, {"ref": "koichirogomi/notebook282b20f458", "kernel_id": "40561731"}, {"ref": "rfujita/notebook1d7257ffd1", "kernel_id": "40503519"}, {"ref": "aitonakata/notebook882640c20f", "kernel_id": "40546769"}, {"ref": "onishihina/notebook9b37ab6f33", "kernel_id": "40502550"}, {"ref": "ashidac6123/notebookad97bf4058", "kernel_id": "40502841"}, {"ref": "c612335054/notebook3f58520252", "kernel_id": "40530641"}, {"ref": "dryuto/notebook90dac6ef12", "kernel_id": "40505957"}, {"ref": "hirokimorit/notebooka9bf9ce102", "kernel_id": "40509541"}, {"ref": "hirapa/notebook21bccd2956", "kernel_id": "40509913"}, {"ref": "daanew/notebook015651c7f7", "kernel_id": "40524288"}, {"ref": "taematsumura/notebookc79f038834", "kernel_id": "40509946"}, {"ref": "tatsurr/notebook0b86225ecf", "kernel_id": "40510365"}, {"ref": "ku2000/notebook795387def4", "kernel_id": "40510459"}, {"ref": "yukimiyaji/notebooka5f0cd52f9", "kernel_id": "40557956"}, {"ref": "seyamaakira/notebook7a2cae9f68", "kernel_id": "40514194"}, {"ref": "runa0018/notebookb0c19b3a98", "kernel_id": "40515747"}, {"ref": "masatakawatanabe/notebookb8fb6c6d4b", "kernel_id": "40517698"}, {"ref": "kyoheiymmt/notebookb264b86322", "kernel_id": "40523045"}, {"ref": "toshiyayoshimura71/notebook45b3587d9f", "kernel_id": "40523175"}, {"ref": "yuuu04/notebookc6313c024c", "kernel_id": "40523936"}, {"ref": "shugangjia/notebookb7dded2025", "kernel_id": "40524495"}, {"ref": "daikifujiwara/notebookc7140e8aed", "kernel_id": "40523687"}, {"ref": "okanatsu/notebook510934a6b8", "kernel_id": "40525414"}, {"ref": "uenoyuto/notebook6d5e75df36", "kernel_id": "40524653"}, {"ref": "msstone/notebook8ebf5b8ea3", "kernel_id": "40533669"}, {"ref": "tamakii/notebook51c9f5fdfd", "kernel_id": "40524611"}, {"ref": "shunsukeizutani/notebook345199f547", "kernel_id": "40526877"}, {"ref": "kosukeseibutsu/notebook76999542cc", "kernel_id": "40557502"}, {"ref": "harukikitagawa/notebook7d364a5085", "kernel_id": "40525083"}, {"ref": "largewest24/notebook428f85518a", "kernel_id": "40527126"}, {"ref": "funasekaito/notebook3a3115d765", "kernel_id": "40527364"}, {"ref": "ishimarui/notebook47ff5dd180", "kernel_id": "40527265"}, {"ref": "matsudagenta/notebook95e0e96a43", "kernel_id": "40527225"}, {"ref": "ryohorikawa/notebook1bd996ef51", "kernel_id": "40562488"}, {"ref": "sotasakaguchi/notebookb8f62ec29a", "kernel_id": "40558856"}, {"ref": "yuukiyoshida20000/notebook4a443e8c9d", "kernel_id": "40528719"}, {"ref": "takahashiteppei/notebooka621a499ea", "kernel_id": "40527874"}, {"ref": "seokakaito/notebook9b240b1626", "kernel_id": "40528191"}, {"ref": "mochio08/notebook33b3af645c", "kernel_id": "40554128"}, {"ref": "c612334044/notebook866a11407c", "kernel_id": "40528578"}, {"ref": "yasuterao/notebookb9a62f2241", "kernel_id": "40531335"}, {"ref": "hirotokusatsu/notebookcc06912013", "kernel_id": "40529672"}, {"ref": "tehziyang/zy-titanic-ml", "kernel_id": "40530165"}, {"ref": "taimatsu6446/titanic-machine-learning-from-disaster", "kernel_id": "40546806"}, {"ref": "gyoichi422/notebookfaf1091e29", "kernel_id": "40541984"}, {"ref": "yuichiroshiota/notebook96de4c92a5", "kernel_id": "40564535"}, {"ref": "hirotonumae/notebook129d3782b0", "kernel_id": "40531265"}, {"ref": "hirotokomatsubara/notebook1ae817f23b", "kernel_id": "40532558"}, {"ref": "otsukiki/notebookd50dbc724a", "kernel_id": "40532129"}, {"ref": "harukifujiii/notebook95c886598c", "kernel_id": "40534172"}, {"ref": "hirotakaaa/notebook90f99141d6", "kernel_id": "40534611"}, {"ref": "hirotakaaa/notebook33939708f6", "kernel_id": "40557299"}, {"ref": "sakuraimiki/notebook62b0f9fd5c", "kernel_id": "40534499"}, {"ref": "yanehirohumi/notebookf671ce3e39", "kernel_id": "40534309"}, {"ref": "miyatatakaki/notebookaa1a3e510a", "kernel_id": "40534759"}, {"ref": "yuitakana/notebook8da46e1ec2", "kernel_id": "40535041"}, {"ref": "harutonakamura1/notebook65f68ca964", "kernel_id": "40535124"}, {"ref": "saitohikari/notebook28fe98b792", "kernel_id": "40537035"}, {"ref": "koukimunezane/notebook90d69fce6e", "kernel_id": "40558115"}, {"ref": "sunshilin/notebook00ee2e5fcb", "kernel_id": "40546995"}, {"ref": "newtokiryu2023/notebook62d88e48d8", "kernel_id": "40536666"}, {"ref": "tu23yurih/notebook024dc5940a", "kernel_id": "40536502"}, {"ref": "tokumaegawa/notebook4e48a4c2ca", "kernel_id": "40537175"}, {"ref": "kamogashirahayato/notebook9e4e77b56c", "kernel_id": "40560806"}, {"ref": "touyuhi/notebookf47f41084b", "kernel_id": "40537716"}, {"ref": "hirokikojima01/notebook3d86e839c1", "kernel_id": "40538548"}, {"ref": "nijunhao/notebook8b70690423", "kernel_id": "40540754"}, {"ref": "mori6123380085/notebookb436260b5c", "kernel_id": "40546231"}, {"ref": "takuyano2000/zenbu", "kernel_id": "40545068"}, {"ref": "c612335042/notebookf52ecb355f", "kernel_id": "40545894"}, {"ref": "yuichiikura/notebook154639f2ac", "kernel_id": "40556999"}, {"ref": "sasakiao/notebook01f670d2c5", "kernel_id": "40557861"}, {"ref": "soubekku/notebooka4561bd703", "kernel_id": "40552708"}, {"ref": "furuyayuto/notebookd3a0b1c545", "kernel_id": "40554381"}, {"ref": "yamajikoudai/notebook9d6f5f989d", "kernel_id": "40554812"}, {"ref": "ryo1012/ryo-titanic", "kernel_id": "40559447"}, {"ref": "tomoakioyama/notebookcb98de4534", "kernel_id": "40556566"}, {"ref": "maronfield/notebook4068c818d5", "kernel_id": "40557208"}, {"ref": "rune670190/notebook2644311b38", "kernel_id": "40557395"}, {"ref": "c702331019/notebook9256418efc", "kernel_id": "40559989"}, {"ref": "hachiyatatsuhiro/notebooke7a39b5754", "kernel_id": "40557615"}, {"ref": "fantasmic/notebook95a1954cd8", "kernel_id": "40557867"}, {"ref": "nakamuraayuka/notebook9bcdeb66c2", "kernel_id": "40557874"}, {"ref": "c612331014/notebook17125f464f", "kernel_id": "40560554"}, {"ref": "miyamotoshota/notebookf0763f415c", "kernel_id": "40558354"}, {"ref": "takuk777/notebookf14f60b05a", "kernel_id": "40558489"}, {"ref": "enomoto2306/notebook3c2960a6e3", "kernel_id": "40558631"}, {"ref": "sowaryota/notebook7c4c76588c", "kernel_id": "40559438"}, {"ref": "taisei0510/notebooka2464a6654", "kernel_id": "40560884"}, {"ref": "sayakatani/notebookda3477f278", "kernel_id": "40560141"}, {"ref": "somayoshino/notebook41157aa567", "kernel_id": "40560022"}, {"ref": "yamaguchiryoto/notebookf5cf12aaaa", "kernel_id": "40559749"}, {"ref": "ueharataira/notebook58b12b52f9", "kernel_id": "40562537"}, {"ref": "taromomo/notebookb399875bff", "kernel_id": "40560535"}, {"ref": "takato0220/notebook4048a4f189", "kernel_id": "40560079"}, {"ref": "ogre11/notebook429fc7211a", "kernel_id": "40560841"}, {"ref": "ogre11/spaceship-titanic-work", "kernel_id": "40691644"}, {"ref": "haramasayosi/notebookdf24bc074b", "kernel_id": "40562155"}, {"ref": "kawakami6517/notebook4a2feb42f4", "kernel_id": "40561466"}, {"ref": "sakaiharuto/notebookc88f16469a", "kernel_id": "40562267"}, {"ref": "sssshigeyuki/notebook523ad56767", "kernel_id": "40561464"}, {"ref": "hiraisyuma/notebooke2e4efc159", "kernel_id": "40561837"}, {"ref": "ryuseisakamoto/notebookb29fa90746", "kernel_id": "40562035"}, {"ref": "c612331008/notebookafb8f82c56", "kernel_id": "40562290"}, {"ref": "kilooscarsierra/notebook63a51d4e0b", "kernel_id": "40562269"}, {"ref": "sawadaakari/notebook4247bf74c1", "kernel_id": "40563170"}, {"ref": "tomokimu/notebookaeb4560697", "kernel_id": "40563372"}, {"ref": "m311on/notebook67acc9525e", "kernel_id": "40563560"}, {"ref": "takamiyudai/notebook2cd494ecde", "kernel_id": "40563819"}, {"ref": "miyazakiryousuke/notebook08bf016614", "kernel_id": "40563824"}, {"ref": "tatuyaamide/notebookfbe470f971", "kernel_id": "40564128"}, {"ref": "ogatamidori/notebook13bfb84612", "kernel_id": "40564270"}, {"ref": "kentamiyake/notebook637584ed60", "kernel_id": "40564521"}, {"ref": "ishaangaba17/titanic-random-forest", "kernel_id": "40841753"}, {"ref": "kassy11/6123350504-kotarokashihara", "kernel_id": "40589609"}, {"ref": "yeamimtouhid/titanic-yeamim", "kernel_id": "40599931"}, {"ref": "manojssnsctaerospace/notebook5796f15cf2", "kernel_id": "40616124"}, {"ref": "raviusz/getting-started-with-titanic", "kernel_id": "40625160"}, {"ref": "pranaymathur4/titanic-using-gradient-boosting-baseline", "kernel_id": "40857670"}, {"ref": "tigerh/titanic-using-neural-network-random-tree-and-log", "kernel_id": "40637118"}, {"ref": "kunn21/titanic-competition", "kernel_id": "40748148"}, {"ref": "debottambhowmick/titanic-survival-prediction", "kernel_id": "40785572"}, {"ref": "setominamo/notebook65f5b73d83", "kernel_id": "40649424"}, {"ref": "setominamo/notebook7ebc0f67e9", "kernel_id": "40651149"}, {"ref": "denyskryvytskyi/titanic-sklearn-randomforest-svm-knn", "kernel_id": "40651162"}, {"ref": "samarelazzab/titanic-prediction-randomforestclassifier", "kernel_id": "40858002"}, {"ref": "samarelazzab/titanic-prediction-decisiontreeclassifier", "kernel_id": "40857928"}, {"ref": "samarelazzab/titanic-prediction-kneighborsclassifier", "kernel_id": "40858420"}, {"ref": "samarelazzab/titanic-prediction-logisticregression", "kernel_id": "40858681"}, {"ref": "sumukhmg35/titanic-neural-networks-keras-81-8", "kernel_id": "40817633"}, {"ref": "sumukhmg35/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "40838120"}, {"ref": "praveentan/notebook1b145b00f4", "kernel_id": "40661753"}, {"ref": "relphbridgman/titanic-me", "kernel_id": "40756102"}, {"ref": "loddasaikumar/exercise-arithmetic-and-variables", "kernel_id": "40928717"}, {"ref": "sunghwankang/titanic", "kernel_id": "40708131"}, {"ref": "kermitsquished/getting-started-with-titanic", "kernel_id": "40707863"}, {"ref": "aydinkocak/aydinkocak-titanik-eda", "kernel_id": "40995739"}, {"ref": "sagardash/titanic-tragedy", "kernel_id": "40730239"}, {"ref": "chongyokkian/titanic-tutorial", "kernel_id": "40742377"}, {"ref": "nishii0101/notebook58308adc49", "kernel_id": "40746240"}, {"ref": "rishuc07/eda-on-titanic-dataset", "kernel_id": "40826037"}, {"ref": "bantaikipubleek/titanic-tutorial", "kernel_id": "40814109"}, {"ref": "hemanthmallisetty/exercise-arithmetic-and-variables", "kernel_id": "40836554"}, {"ref": "mpinola/exercise-arithmetic-and-variables", "kernel_id": "40945846"}, {"ref": "jalarcon05/modificar-colores-imagen", "kernel_id": "40886463"}, {"ref": "yurikotakeda/notebook79aad4d60b", "kernel_id": "40976290"}, {"ref": "ruthpeace/exercise-arithmetic-and-variables", "kernel_id": "40997864"}, {"ref": "skoropad/titaninc-automl-25-07-23", "kernel_id": "41440673"}, {"ref": "adisak/titanic-notebook-multiple-models", "kernel_id": "41509659"}, {"ref": "adisak/titanic-notebook1", "kernel_id": "41503195"}, {"ref": "glebmikh/rui-titanic", "kernel_id": "41158197"}, {"ref": "glebmikh/moran-classification", "kernel_id": "41068471"}, {"ref": "dima806/titanic-simple-roc-auc-0-849-catboost-shap", "kernel_id": "41467021"}, {"ref": "danietzio/titanic-dataset", "kernel_id": "41479185"}, {"ref": "moumoni/titanic-data-analysis", "kernel_id": "41624629"}, {"ref": "scatteredflo/titanic-top-4-with-ensemble-modeling", "kernel_id": "41669549"}, {"ref": "scatteredflo/lec1-3-python-dataframe-practice-v1-0", "kernel_id": "41326109"}, {"ref": "mohdph/titanic-survivors-prediciton-using-multiple-models", "kernel_id": "41628053"}, {"ref": "hutch1221/ai-pandas-practice", "kernel_id": "41446524"}, {"ref": "hutch1221/ai-losigticregression-practice", "kernel_id": "41918434"}, {"ref": "nikkitha8/outlier-detection-methodologies", "kernel_id": "41115991"}, {"ref": "rexakarim/the-titanic-project-with-python", "kernel_id": "41924028"}, {"ref": "phucbb/titanic", "kernel_id": "41320855"}, {"ref": "jinkoike/notebooke11f400183", "kernel_id": "41527172"}, {"ref": "commandante/getting-back-to-titanic-dataset", "kernel_id": "41667623"}, {"ref": "tamoghna96saha/titanic-survival-analysis-logistic-regression", "kernel_id": "41706924"}, {"ref": "arbaletos/titanic-data-pipelines-and-sklearn-fusion", "kernel_id": "41821282"}, {"ref": "anuragsolanke/fork-of-titanic-problem", "kernel_id": "41697272"}, {"ref": "stpeteishii/titanic-xgb-lgbm-ensemble", "kernel_id": "41089705"}, {"ref": "tanmoytkd/titanic-101", "kernel_id": "41104461"}, {"ref": "pranaii/titanic-eda-preprocessing-modelling-fe", "kernel_id": "41824914"}, {"ref": "lhernand/titanic-tpot", "kernel_id": "41631059"}, {"ref": "yalcinmehmet/titanic-answers", "kernel_id": "41119259"}, {"ref": "veravarela/predict-survival-on-the-titanic", "kernel_id": "41110349"}, {"ref": "juhotuho10/titanic-predictions", "kernel_id": "41244984"}, {"ref": "willerie/titanic-redux", "kernel_id": "41479394"}, {"ref": "willerie/titanic-pytorch-model", "kernel_id": "41248022"}, {"ref": "andreinovikov90/empirical-estimations-of-distribution-parameters", "kernel_id": "41340629"}, {"ref": "rainrein/titanic-notebook2", "kernel_id": "41680849"}, {"ref": "ardaunal4/titanic-eda", "kernel_id": "41329804"}, {"ref": "andmassaia/titanic", "kernel_id": "41000432"}, {"ref": "zohaib123/treatment-of-titanic-outliers", "kernel_id": "41225894"}, {"ref": "nickfecondo/titanic-survivor-analysis", "kernel_id": "41638661"}, {"ref": "ritvikbpanicker/titanic-data-submission-entry-1", "kernel_id": "41029280"}, {"ref": "shiv314/titanic-dataset-eda", "kernel_id": "41918969"}, {"ref": "ahmetenesyalnkaya/titanic-ml", "kernel_id": "41118819"}, {"ref": "johnsmith44/from-eda-to-model-a-complete-study-of-titanic", "kernel_id": "41543970"}, {"ref": "moseskimiji/getting-started-with-titanic", "kernel_id": "41070893"}, {"ref": "habibirani/titanic-survival-prediction", "kernel_id": "41570776"}, {"ref": "bagasadiwaskita/titanic-stacking-ml-with-parameter-tuning", "kernel_id": "41285183"}, {"ref": "aswinjose/titanic-survival-prediction-using-multi-model", "kernel_id": "41731096"}, {"ref": "bhaveshmittal/titanic-survival-prediction-gradient-boosting", "kernel_id": "41094237"}, {"ref": "muhammetalikula/similars-df", "kernel_id": "41795126"}, {"ref": "sabikunmonisha/notebook890a7e8638", "kernel_id": "41968031"}, {"ref": "nikolatesla13/titanic-challenge", "kernel_id": "41701389"}, {"ref": "muratgulcan/titanic-eda", "kernel_id": "41762865"}, {"ref": "rajib76/titanic-tutorial", "kernel_id": "41944819"}, {"ref": "luisfernandohdz/titanic-modeling-v2-xgboost", "kernel_id": "41449538"}, {"ref": "alperenyksel/notebookbc37a4e5d2", "kernel_id": "41525913"}, {"ref": "alperenyksel/titanic-eda-xgboost", "kernel_id": "41765899"}, {"ref": "staru09/notebook31f46bda3f", "kernel_id": "41412737"}, {"ref": "isteve69/getting-started-with-titanic2023", "kernel_id": "41018109"}, {"ref": "bcscuwe1/titanic-classification", "kernel_id": "41466061"}, {"ref": "tunadasbas/tuna-titanic-kernel", "kernel_id": "41354906"}, {"ref": "kosukatsu/notebook224b467770", "kernel_id": "41004156"}, {"ref": "utkarshtomar736/utkarsh-linear-model", "kernel_id": "41769895"}, {"ref": "utkarshtomar736/utkarsh-framework", "kernel_id": "41964998"}, {"ref": "rawabifahad/titanic-survival-prediction-with-decision-tree-97", "kernel_id": "41371113"}, {"ref": "benotroussel/notebook-titanic", "kernel_id": "41419223"}, {"ref": "plthon/titanic-eda-survival-predictions", "kernel_id": "41284998"}, {"ref": "gauravraut/getting-started-with-titanic", "kernel_id": "41702824"}, {"ref": "alfamame/titanic-tuto", "kernel_id": "41292252"}, {"ref": "shreyapurohit/eda-plotly-titanic-analysis", "kernel_id": "41192350"}, {"ref": "carlosnava/carlos-nava-getting-started-with-titanic", "kernel_id": "41836108"}, {"ref": "mahmoudeldebase/titanic", "kernel_id": "41809504"}, {"ref": "mahmoudeldebase/titanc-classifation-compititon", "kernel_id": "41478778"}, {"ref": "npscul/customtransformers-functiontransformers-and-pipes", "kernel_id": "41832188"}, {"ref": "eliasjaffe/titanic-agnostic-statistics-i", "kernel_id": "41372659"}, {"ref": "eliasjaffe/titanic-stacking-classifier", "kernel_id": "41107821"}, {"ref": "alicanpayasli/86-accuracyscore", "kernel_id": "41778077"}, {"ref": "mouhamedamar/exercice-titanic", "kernel_id": "41810454"}, {"ref": "swathiumenon/titanic", "kernel_id": "41376782"}, {"ref": "gamryeol/01-titanic", "kernel_id": "41408730"}, {"ref": "meeraajayakumar/titanic-dataset-analysis", "kernel_id": "41155672"}, {"ref": "trungdng/my-first-notebook", "kernel_id": "41385702"}, {"ref": "swathiimenon/titanic-new", "kernel_id": "41396626"}, {"ref": "dev523/designing-the-blueprint-tensorflow-architecture", "kernel_id": "41740302"}, {"ref": "abhishekmanikandan/example", "kernel_id": "41698003"}, {"ref": "deodatobastos/titaniccompetition", "kernel_id": "41009848"}, {"ref": "zadosaadipurwanto/titanic-pred", "kernel_id": "41487093"}, {"ref": "khansoledhiraj/titanic-randfor-randmcv", "kernel_id": "41002966"}, {"ref": "vinayakvats/titanic-survival", "kernel_id": "41154607"}, {"ref": "metin2/getting-started-with-titanic", "kernel_id": "41361374"}, {"ref": "kartikdullet/titanic-disaster", "kernel_id": "41405709"}, {"ref": "mohamedalimosleh/titanic-notebook", "kernel_id": "41123573"}, {"ref": "marcpaulo/titanic-playground-for-new-kagglers-0-78", "kernel_id": "41163292"}, {"ref": "gatewayadam/titanic-learning-trees-cost-complexity-pruning", "kernel_id": "41775931"}, {"ref": "vandanathakur/titanic-using-tensorflow-decision-forests", "kernel_id": "41018217"}, {"ref": "fahmida23/titanic-competition", "kernel_id": "41904887"}, {"ref": "shubhamgoyal2001/exercise-arithmetic-and-variables", "kernel_id": "41383906"}, {"ref": "pythonafroz/multiple-graphs-for-beginners-2", "kernel_id": "41763879"}, {"ref": "pythonafroz/multiple-graphs-for-beginners", "kernel_id": "41673659"}, {"ref": "dhilipkumarkk/titanic-ml-disaster", "kernel_id": "41361854"}, {"ref": "saraghasemirad/titanic", "kernel_id": "41309917"}, {"ref": "ahmedmoabdelkader/titanic-data-classification-using-pipeline", "kernel_id": "41068864"}, {"ref": "tmshaikh/titanic-competition-using-rfc-to-predict-survivor", "kernel_id": "41251787"}, {"ref": "sujaykapadnis/titanic-with-juno-ai", "kernel_id": "41196606"}, {"ref": "janviproject/exercise-arithmetic-and-variables", "kernel_id": "41952792"}, {"ref": "hosammamdouh/knn-imputer-with-random-forest-model", "kernel_id": "41733953"}, {"ref": "laxmivatsalyadaita/titanic-tutorial", "kernel_id": "41432946"}, {"ref": "gulzarghodake/first-notebook-titanic", "kernel_id": "41819121"}, {"ref": "yuyanglim/titanic-predictions-using-logistic-regression", "kernel_id": "41490190"}, {"ref": "amroaskar/titanic", "kernel_id": "41010627"}, {"ref": "pallavibaghel/titanic-submission", "kernel_id": "41652104"}, {"ref": "niharikaamritkar/titanic-dataset", "kernel_id": "41531933"}, {"ref": "omikumarmakadia2121/titanic-v1", "kernel_id": "41898617"}, {"ref": "laz0rde/performing-randomforestclassifier-model-on-titanic", "kernel_id": "41496542"}, {"ref": "prasadposture121/logistic-regression-in-r", "kernel_id": "41104360"}, {"ref": "sarvagyaporwal/titanic", "kernel_id": "41395758"}, {"ref": "dhifisiwar/titanic-challenge", "kernel_id": "41794538"}, {"ref": "cuneyterem8/notebook8ad581a8c5", "kernel_id": "41903390"}, {"ref": "hardikarora24/titanic-1", "kernel_id": "41048661"}, {"ref": "fernandoguerreiro/titanic-disaster-ml", "kernel_id": "41251186"}, {"ref": "shrutigupta70/titanic-survival-prediction", "kernel_id": "41532127"}, {"ref": "pqpqqpqqq/titanic-competition-two", "kernel_id": "41700839"}, {"ref": "pqpqqpqqq/titanic-competition-1", "kernel_id": "41681429"}, {"ref": "hasantugra/titanicdataanalys", "kernel_id": "41602361"}, {"ref": "hudasaleh1/titanic-predict-survived-passengers", "kernel_id": "41075647"}, {"ref": "divyabhavana/titanic", "kernel_id": "41243208"}, {"ref": "mehranvarshosaz/titanic-5-models-80-f1-score", "kernel_id": "41857624"}, {"ref": "ammarehab/titanic-dataset", "kernel_id": "41744371"}, {"ref": "hlatamer/exercise-arithmetic-and-variables", "kernel_id": "41922781"}, {"ref": "clareismo/notebookdaf3336e5f", "kernel_id": "41575687"}, {"ref": "clareismo/notebookfa02a8b7c8", "kernel_id": "41576735"}, {"ref": "sugataraychaudhary/titanic-survived-pred-neural-network-acc-93", "kernel_id": "41791834"}, {"ref": "hermansugiharto/titanic-storytelling", "kernel_id": "41643236"}, {"ref": "lukemsimmons/titanic-dnn", "kernel_id": "41473758"}, {"ref": "anishabhushan/getting-started-with-titanic", "kernel_id": "41448560"}, {"ref": "bonfaceonyango/notebook4842816e09", "kernel_id": "41173407"}, {"ref": "agirmaus/titanic-analysis", "kernel_id": "41830831"}, {"ref": "mariamaboelfadl/titanic-logisticregression", "kernel_id": "41068386"}, {"ref": "sravyareddyy/titanic", "kernel_id": "41969279"}, {"ref": "tokaamer/titanic", "kernel_id": "41212943"}, {"ref": "aratrikbasak/titanic-survival-prediction", "kernel_id": "41146350"}, {"ref": "golammostofas/titanic-decission-tree-model-for-beginners", "kernel_id": "41802049"}, {"ref": "xupengwei/decision-tree", "kernel_id": "41124320"}, {"ref": "hosseinsharifani/titanic-decision-tree", "kernel_id": "41978418"}, {"ref": "ahmedsayed564/analysis-on-titanic-svm-98", "kernel_id": "41435680"}, {"ref": "peterkeszthelyi/titanic-model-evaluation-metrics", "kernel_id": "41021854"}, {"ref": "soumendumandal/titanic-rf1-accuracy-score-is-94-7", "kernel_id": "41401336"}, {"ref": "shahidulugvcse/scikit-learn-ml-from-start-to-finish", "kernel_id": "41978215"}, {"ref": "syedasifiqbal1/titanic-tutorial", "kernel_id": "41886151"}, {"ref": "mangalgupta23/titanic-fast-fact", "kernel_id": "41623206"}, {"ref": "mostafaa8/titanic-ml-model-notebook", "kernel_id": "41770283"}, {"ref": "ahmettalhabektas/titanic-solution", "kernel_id": "41467003"}, {"ref": "swatiapu/notebook76cbee185a", "kernel_id": "41489771"}, {"ref": "matheustremarin1/titanic-competition-w-pytorch-neural-network", "kernel_id": "41873442"}, {"ref": "shakhauat/titanic-data-analysis", "kernel_id": "41025684"}, {"ref": "shakhauat/titanic-who-survived", "kernel_id": "41681451"}, {"ref": "abhinavshaw09/titanicdataset", "kernel_id": "41229176"}, {"ref": "alirezajavid1999/ensemble-learning-for-titanic-survival-prediction", "kernel_id": "41547959"}, {"ref": "yaroslav53/titanic-classic-models-and-basic-preprocessing", "kernel_id": "41883961"}, {"ref": "pankajdeora/case-study-independent-2-sample-t-test", "kernel_id": "41290232"}, {"ref": "pankajdeora/case-study-single-sample-t-test", "kernel_id": "41229461"}, {"ref": "huseyincosgun/prediction-of-developing-diabetes", "kernel_id": "41659597"}, {"ref": "huseyincosgun/feature-engineering", "kernel_id": "41451868"}, {"ref": "ayanabil11/titanic-prediction", "kernel_id": "41124770"}, {"ref": "shashankjyoti/titanic-randomforest-model", "kernel_id": "41069583"}, {"ref": "essamkunjan/titanic-rfc", "kernel_id": "41039938"}, {"ref": "jaberjaber/titanic-ml-workflow-with-accuracy-of-84", "kernel_id": "41466021"}, {"ref": "tanmay9516/titanic-78-468-ensemble", "kernel_id": "41259756"}, {"ref": "belati/titanic-beginner-s-first-problem", "kernel_id": "41826891"}, {"ref": "deepthisundhara/notebookf9bafb370c", "kernel_id": "41624777"}, {"ref": "fadhilumar/beginner-feature-engineering-modelling", "kernel_id": "41017390"}, {"ref": "elakiyasekar/titanic-documentation", "kernel_id": "41042932"}, {"ref": "elakiyasekar/new-notebook-titanic", "kernel_id": "41177391"}, {"ref": "krshub21/titanic-machine-learning-from-disaster-03", "kernel_id": "41565591"}, {"ref": "warriorwizard/basic-guide-for-creating-pipeline", "kernel_id": "41833002"}, {"ref": "duanboomer/will-i-survive-the-titanic", "kernel_id": "41932741"}, {"ref": "muhammedtuncayaydn/titanik-eda", "kernel_id": "41305600"}, {"ref": "theikechukwu/titanic-ml-competition", "kernel_id": "41073939"}, {"ref": "saunakghosh/survive-prediction", "kernel_id": "41351808"}, {"ref": "jakehatten/titanic-data-machine-learning", "kernel_id": "41043351"}, {"ref": "ravikr110/notebook9c2be43c42", "kernel_id": "41595288"}, {"ref": "amirhossienchambari/titanic-disaster", "kernel_id": "41889066"}, {"ref": "hassannasser97/a-follow-for-the-titanic-tutorial", "kernel_id": "41340393"}, {"ref": "mioojima/titanictutorial", "kernel_id": "41018370"}, {"ref": "thotaramesh/titanic00001", "kernel_id": "41940113"}, {"ref": "nanditapore/titanic-survival-prediction-competition", "kernel_id": "41357992"}, {"ref": "sitanshuanmol/fork-of-titaniccomp", "kernel_id": "41942262"}, {"ref": "mcmaki/addcomments-titanic-logistic-regression-model", "kernel_id": "41249166"}, {"ref": "vijayjoshi17/titanic-eda-prediction", "kernel_id": "41553907"}, {"ref": "viceriomarinowski/titanic-v2-knn-0-787-acc", "kernel_id": "41800759"}, {"ref": "viceriomarinowski/titanic-v1-0-78-acc", "kernel_id": "41743102"}, {"ref": "akash190104/titanic-tutorial", "kernel_id": "41126429"}, {"ref": "gabrielagregnanini/titanic-sub", "kernel_id": "41712572"}, {"ref": "ahmetruhanavc/ahmet-ru-han-avc-titanik-eda", "kernel_id": "41158736"}, {"ref": "shubham050198/titanic-logistic-reg", "kernel_id": "41000548"}, {"ref": "barbarakoop/titanic-rp-class", "kernel_id": "41241967"}, {"ref": "kungsuk/titanic-submission", "kernel_id": "41005234"}, {"ref": "duzduran/titanic", "kernel_id": "41980529"}, {"ref": "hasanyldiz/titanic-eda", "kernel_id": "41768711"}, {"ref": "anaghakp/titanic-survival-prediction", "kernel_id": "41529567"}, {"ref": "abdullahergul/abdullah-ergul-s-titanic-eda", "kernel_id": "41686412"}, {"ref": "naveenmurugan/ann-to-predict-the-passenger-is-survived-or-not-on", "kernel_id": "41298506"}, {"ref": "mehmetarifkuzgunnn/titanic-task-using-lgbm-classifier", "kernel_id": "41565267"}, {"ref": "wukongjie/titanic-conclusion", "kernel_id": "41214482"}, {"ref": "wesleypdasilva/desafio-titanic-linear-regression", "kernel_id": "41513591"}, {"ref": "himanshukumar7079/himanshu-kr-titanic-pred", "kernel_id": "41056724"}, {"ref": "sreyas03/qintern-qae", "kernel_id": "41567600"}, {"ref": "alaagaafer/titanic", "kernel_id": "41562873"}, {"ref": "abdallamohsen/notebook75c0a0a59e", "kernel_id": "41778189"}, {"ref": "kemalmaolana/bayesian-logistic-regression", "kernel_id": "41950464"}, {"ref": "furkanevik/titanik-eda", "kernel_id": "41259274"}, {"ref": "rohitkauri/titanic", "kernel_id": "41955157"}, {"ref": "jhucul/exercise-arithmetic-and-variables", "kernel_id": "41136302"}, {"ref": "csanskriti/handling-missing-values-in-titanic-data", "kernel_id": "41032693"}, {"ref": "csanskriti/categorical-encoding-in-titanic-data", "kernel_id": "41265463"}, {"ref": "shilpa2001/titanic-survival-prediction", "kernel_id": "41621354"}, {"ref": "victorialesnyh/titanic", "kernel_id": "41832360"}, {"ref": "mateuszk013/ml-explainability-shapley-values-shap-library", "kernel_id": "41011721"}, {"ref": "shreyasdasari7/titanicsurvival-prediction", "kernel_id": "41513687"}, {"ref": "midhunlalvs/titanic-survival-prediction-using-rf-logit", "kernel_id": "41906504"}, {"ref": "ndsds42/titanic-pred-logistic-reg-svc", "kernel_id": "41428709"}, {"ref": "omarfathy20/notebook42e30c7332", "kernel_id": "41116111"}, {"ref": "ranzzr/titanic-randomforest-model", "kernel_id": "41797403"}, {"ref": "youssifhassan/titanic", "kernel_id": "41978189"}, {"ref": "muthumeenakshi11/titanic-survival-pred", "kernel_id": "41867116"}, {"ref": "atharvm15/getting-started-with-titanic", "kernel_id": "41522172"}, {"ref": "yanwawong/titanic-randomforest", "kernel_id": "41260219"}, {"ref": "nani123456789/notebookcc83031cb0", "kernel_id": "41466650"}, {"ref": "shaxzoddavronov/titianic-surviver-prediction", "kernel_id": "41738069"}, {"ref": "deeponur/titanic-machine-learning-competition", "kernel_id": "41988257"}, {"ref": "mo0103/svm-processing-lr-nb", "kernel_id": "41034762"}, {"ref": "osmantekdamar/titanic", "kernel_id": "41437956"}, {"ref": "abhijitdahatonde/titanic-passenger-survival-prediction", "kernel_id": "41061470"}, {"ref": "adityarajpateriya/ttanic-data-eda", "kernel_id": "41187022"}, {"ref": "khedrub/titanic-bung-entscheidungsbaum", "kernel_id": "41992352"}, {"ref": "khedrub/titanic-anleitung-eda", "kernel_id": "41764594"}, {"ref": "shrutidhange/notebook2f2b1be081", "kernel_id": "41951420"}, {"ref": "hosseinghorbanids/tintanic", "kernel_id": "41692452"}, {"ref": "mochabidin/titanic-kaggle", "kernel_id": "41249045"}, {"ref": "prateiklohani/titanic-simple-attempt", "kernel_id": "41500090"}, {"ref": "eidosama/eda-and-automl", "kernel_id": "41047743"}, {"ref": "narsingraogoud/titanic-disaster-analysis", "kernel_id": "41223455"}, {"ref": "jreaso/titanic-survival-prediction", "kernel_id": "41918864"}, {"ref": "jasvindernotra/titanic-competition", "kernel_id": "41340559"}, {"ref": "mehmetisik/titanic-survival-prediction", "kernel_id": "41624056"}, {"ref": "ceyhunc/0-77-acc-multiple-models", "kernel_id": "41683160"}, {"ref": "jaeohshin/titanic-getting-started", "kernel_id": "41008713"}, {"ref": "esraydin/titanic-eda", "kernel_id": "41494872"}, {"ref": "saurabh3089/titanic-survival-prediction-analysis", "kernel_id": "41635238"}, {"ref": "tanyasoloveva/titanic-first-ml", "kernel_id": "41106819"}, {"ref": "juhibhojani/analysis-for-beginners", "kernel_id": "41856082"}, {"ref": "prajeetsr/prajeet-titanic-data-analysis", "kernel_id": "41199507"}, {"ref": "vedantdadhich2611/ml-fundamentals-titanic", "kernel_id": "41786323"}, {"ref": "ferielbeltaief/project-1-data-exploration-and-cleaning", "kernel_id": "41565499"}, {"ref": "thevaibhavsharma/titanic-machine-learning-from-disaster", "kernel_id": "41795166"}, {"ref": "sayedshaun/titanic-survive-prediction", "kernel_id": "41668452"}, {"ref": "manishgupta72/complete-guide-to-feature-scaling", "kernel_id": "41319196"}, {"ref": "shivamsharma7825/titanic-classification-report", "kernel_id": "41794010"}, {"ref": "smnoyan/titanic-with-xgb-87-accuracy", "kernel_id": "41055984"}, {"ref": "viviansam/titanic-beginner", "kernel_id": "41408788"}, {"ref": "singhayush16/project-4-case-study-4-titanic-kaggle-dataset", "kernel_id": "41784779"}, {"ref": "aakash81/vasaras-nometne-2", "kernel_id": "41736711"}, {"ref": "ardayalin/ardayalin-titanic-eda", "kernel_id": "41417492"}, {"ref": "arcielbaez/just-practice", "kernel_id": "41525633"}, {"ref": "oleksiimartusiuk/titanic-1st-notebook", "kernel_id": "41743025"}, {"ref": "ayankuzu/titanic-eda", "kernel_id": "41702154"}, {"ref": "yoshikihiragaki/titanic-notebooks-by-beginner-use-randomforest", "kernel_id": "41212279"}, {"ref": "tanaybakshi/titanic-random-forest", "kernel_id": "41699957"}, {"ref": "rubiasalam/titanic-survived-passengers", "kernel_id": "41275599"}, {"ref": "yeonjeong0709/ml-prediction-titanic-dataset", "kernel_id": "41993589"}, {"ref": "eeffou/trying-titanic", "kernel_id": "41463649"}, {"ref": "aryansingh1211/titanic-machine-learning-prediction", "kernel_id": "41940284"}, {"ref": "amnydv17/titanic-model", "kernel_id": "41576290"}, {"ref": "omariovic/coding-now-because-i-am-feeling-lonely", "kernel_id": "41410037"}, {"ref": "marklsze/titanic-v03-feature-engineering", "kernel_id": "41520822"}, {"ref": "marklsze/titanic-v04-feature-engineering-selective-models", "kernel_id": "41521448"}, {"ref": "anjahein/predicting-survivals-on-titanic-with-decisiontree", "kernel_id": "41005091"}, {"ref": "jkraak/titanic-disaster-ml-using-votingclassifier", "kernel_id": "41971648"}, {"ref": "ammarahabib/titanic-machine-learning-from-disaster", "kernel_id": "41689343"}, {"ref": "indirakarrri/ml-model-for-titanic-problem", "kernel_id": "41791906"}, {"ref": "saikatpanda/predicting-deaths-on-titanic", "kernel_id": "41992215"}, {"ref": "abhiraynaharris/titanic-disaster", "kernel_id": "41376434"}, {"ref": "jotapy79/titanic-first-notebook", "kernel_id": "41469841"}, {"ref": "reinagraham/titanic-competition", "kernel_id": "41513572"}, {"ref": "anandpanajkar/titanic-survival-prediction", "kernel_id": "41651073"}, {"ref": "jyp0824/notebook60ac6330be", "kernel_id": "41023212"}, {"ref": "shimabeiranvand/titanic-competition-logisticregression", "kernel_id": "41541564"}, {"ref": "neemiasbucli/titanic-experiments-eda-ml-modeling", "kernel_id": "41069766"}, {"ref": "shaunakmandal/titanic-predictions-of-surviving", "kernel_id": "41685328"}, {"ref": "deepika068068/notebookfa08be7469", "kernel_id": "41235292"}, {"ref": "rachanabv14/titanic-shipwreck", "kernel_id": "41329273"}, {"ref": "ahmedaljarrah/titanic-ml", "kernel_id": "41981232"}, {"ref": "ju1cyguy/titanic-notebook", "kernel_id": "41165711"}, {"ref": "valiantsinrakots/titanic-forest-ada-naive-classifier", "kernel_id": "41886742"}, {"ref": "anilbajar/predictions-start-here", "kernel_id": "41097525"}, {"ref": "aacashsrinath/titanic-survivors-prediction", "kernel_id": "41716236"}, {"ref": "manuelarink/beginner-exploratory-data-analysis-of-train-set", "kernel_id": "41262067"}, {"ref": "marquis03/predict-survival-on-the-titanic-using-svm", "kernel_id": "41331479"}, {"ref": "richardlimanalytics/titanic-logistic-regression", "kernel_id": "41510196"}, {"ref": "chatterbird/titanic-competition", "kernel_id": "41604014"}, {"ref": "raghavgoyal25/titanic-survivor-prediction", "kernel_id": "41621740"}, {"ref": "oyediranmohammed/titanic-prediction", "kernel_id": "41729382"}, {"ref": "aliabdelnaby/titanic", "kernel_id": "41194586"}, {"ref": "ohoioho/notebooke9ca23002b", "kernel_id": "41074085"}, {"ref": "muhammadawaistayyab/titanic-using-pipelines", "kernel_id": "41781601"}, {"ref": "muhammadawaistayyab/titanic-for-absolute-beginners", "kernel_id": "41765008"}, {"ref": "muhammadawaistayyab/titanic-using-randomforestclassifier-with-gscv", "kernel_id": "41856498"}, {"ref": "aigerimkabiyeva/titanic-first", "kernel_id": "41355985"}, {"ref": "shayanrokhva/titanic-kaggle-competition", "kernel_id": "41770119"}, {"ref": "saradachandunadella/titanic-using-different-ml-models", "kernel_id": "41189880"}, {"ref": "aleksandrapasiska/notebook11372f6ade", "kernel_id": "41262487"}, {"ref": "ahmedeesam/titanic-machine-learning-from-disaster", "kernel_id": "41776453"}, {"ref": "muhsindemir/titanic-project-researcher-data-analysis", "kernel_id": "41338191"}, {"ref": "rizwanahmedabbasi/titanic-datacleaning", "kernel_id": "41819618"}, {"ref": "maharnabsaikia/titanic-survival-prediction-with-neural-networks", "kernel_id": "41544369"}, {"ref": "talhabarkaatahmad/titanic-predictions", "kernel_id": "41860196"}, {"ref": "yldzburhan/data-manipulation-numpy-pandas-tutorial", "kernel_id": "41764867"}, {"ref": "petergraef/titanic-random-forest", "kernel_id": "41672090"}, {"ref": "dpdavidson/titanic-competition", "kernel_id": "41779271"}, {"ref": "thefortunetellers/titanic-prediction-for-beginners", "kernel_id": "41725340"}, {"ref": "sreekanthpolu/titanic-surviver-prediction-sree", "kernel_id": "41765427"}, {"ref": "meetrais/titanic-passenger-survival-prediction", "kernel_id": "41342790"}, {"ref": "meetrais/classification-accuracy-comparison-of-models", "kernel_id": "41811162"}, {"ref": "sezuna/spaceship-titanic-work", "kernel_id": "41466729"}, {"ref": "davemarietti/titanic-classification-notebook-for-beginners", "kernel_id": "41394992"}, {"ref": "yukikeda17/titanic-code-sample-aidemy", "kernel_id": "41097717"}, {"ref": "ayushkumar1603/titanic-ipynb", "kernel_id": "41181047"}, {"ref": "yubi323/notebook7a30f025b9", "kernel_id": "41516481"}, {"ref": "yubi323/rose-titanic-2-july-2023", "kernel_id": "41515991"}, {"ref": "mansi0123/titanic-logistic-regression", "kernel_id": "41760422"}, {"ref": "rishavdadwal/titanic-all-main-models-machine-learning", "kernel_id": "41152390"}, {"ref": "sachinpatil1280/titanic-ml-from-disaster-score-79", "kernel_id": "41323099"}, {"ref": "mathur1303/titanic-kaggle-challenge", "kernel_id": "41332955"}, {"ref": "ndssingh/titanic-survival-predictions", "kernel_id": "41278356"}, {"ref": "karimgheddache/titanic-survival-prediction", "kernel_id": "41705380"}, {"ref": "wenhaonewest/titanic", "kernel_id": "41254989"}, {"ref": "kzleong/h2o-ai-automl-classification-titanic", "kernel_id": "41382400"}, {"ref": "jayk18/getting-started-with-titanic", "kernel_id": "41732178"}, {"ref": "himanshuydv11/spaceship-titanic-accuracy-79-4-first-time", "kernel_id": "41722677"}, {"ref": "tehziyang/notebookfde5dac265", "kernel_id": "41252280"}, {"ref": "devayanm/titanic", "kernel_id": "41325150"}, {"ref": "jayvatti/titanic-clusterrf-0-79425", "kernel_id": "41645142"}, {"ref": "samuelsenne/titanic-problem-with-catboost", "kernel_id": "41505614"}, {"ref": "engmac/titanic-data-set", "kernel_id": "41112347"}, {"ref": "awais69/tittanic-data-analysis", "kernel_id": "41130460"}, {"ref": "m17iddgmailcom/taitanic-keras", "kernel_id": "41322111"}, {"ref": "lehsiuchen/eda-to-prediction-die-tanic", "kernel_id": "41813987"}, {"ref": "denyskryvytskyi/titanic-tf-nn", "kernel_id": "41326831"}, {"ref": "leurondraphal/titanicattempt1", "kernel_id": "41381924"}, {"ref": "waleedgamaa/titanic-data-solution", "kernel_id": "41272305"}, {"ref": "palharish003/titanic", "kernel_id": "41772283"}, {"ref": "pptimesquad/titanic", "kernel_id": "41238037"}, {"ref": "selinturker/notebook-titanic", "kernel_id": "41026065"}, {"ref": "halitefetanrkulu/halit-titanic-eda", "kernel_id": "41460999"}, {"ref": "soufivandsmartech/exercise-arithmetic-and-variables", "kernel_id": "41028334"}, {"ref": "pkw1234/titanic-pytorch", "kernel_id": "41899684"}, {"ref": "shunsukekikuchi/titanic-model-evaluation-by-k-fold-validation", "kernel_id": "41514550"}, {"ref": "yurikotakeda/notebookb6b817ba78", "kernel_id": "41230306"}, {"ref": "pallavi2507/titanic-survival-83-accuracy-first-project", "kernel_id": "41545700"}, {"ref": "mizomichi/notebook2ff80103cf", "kernel_id": "41178505"}, {"ref": "maihesham103/titanic-classification", "kernel_id": "41026577"}, {"ref": "zahradeldar/titanic-tutorial", "kernel_id": "41244607"}, {"ref": "volodymyrlomynoha/titanic-used-keras", "kernel_id": "41246613"}, {"ref": "yta322/second-titanic", "kernel_id": "41760537"}, {"ref": "alirzaslhi/exercise-arithmetic-and-variables", "kernel_id": "41024157"}, {"ref": "znoorapr/exercise-arithmetic-and-variables", "kernel_id": "41065470"}, {"ref": "mariopopov/titanic-project", "kernel_id": "41029719"}, {"ref": "nancy123liu/titanic", "kernel_id": "41035614"}, {"ref": "valextinax/titanic-challenge", "kernel_id": "41098801"}, {"ref": "smithpeterson/random-forest", "kernel_id": "41857937"}, {"ref": "samyuktashaji/sample-notebook", "kernel_id": "41059117"}, {"ref": "cabdinasirmnuur/notebook5cac0cbd28", "kernel_id": "41174402"}, {"ref": "barrywelford/exercise-arithmetic-and-variables", "kernel_id": "41130174"}, {"ref": "yagnarao/titanic-analysis-makernova-drishti", "kernel_id": "41089934"}, {"ref": "ozankutluay/titanic-data-set-visualization", "kernel_id": "41300151"}, {"ref": "gizemhusem/titanic-projesi", "kernel_id": "41510026"}, {"ref": "amandagarner/1a-exercise-arithmetic-and-variables", "kernel_id": "41173907"}, {"ref": "orhay1234/titanic", "kernel_id": "41372657"}, {"ref": "mikproject/titanic-model-svm", "kernel_id": "41268162"}, {"ref": "abdulwahidrukua/titanic-machine-learning-1", "kernel_id": "41528245"}, {"ref": "prathamshahmldlds/titanic-classifier", "kernel_id": "41326978"}, {"ref": "idrakesedbeyli/titanic-logistic-regression", "kernel_id": "41691161"}, {"ref": "anand1234321/notebook3caf020884", "kernel_id": "41253382"}, {"ref": "rohidshakoorzada/titanic-machine-learning-from-disaster", "kernel_id": "41915717"}, {"ref": "madkir/titanic-1", "kernel_id": "41262000"}, {"ref": "raphalbosi/titanic", "kernel_id": "41295721"}, {"ref": "orangekitten/titanic-tutorial", "kernel_id": "41313078"}, {"ref": "sarcasf/titanic", "kernel_id": "41347295"}, {"ref": "peiyoke/notebooke103f0f4dc", "kernel_id": "41289339"}, {"ref": "kashiwase/notebook3d3e8a3518", "kernel_id": "41291198"}, {"ref": "mhvasconcelos/uma-breve-an-lise-explorat-ria", "kernel_id": "41362091"}, {"ref": "yassineyahyaouii/hypertuning-cnn-titanic-chalange", "kernel_id": "41505061"}, {"ref": "magicaldata/titanic-eda-building-models-predictions", "kernel_id": "41763134"}, {"ref": "darososa/getting-started-with-titanic", "kernel_id": "41910402"}, {"ref": "mrsr98/notebook53f758df5c", "kernel_id": "41440795"}, {"ref": "kamilastark/titanic", "kernel_id": "41719812"}, {"ref": "ariasmith/kaggletitaniccompetition", "kernel_id": "41885429"}, {"ref": "yusufergun/titanic-eda", "kernel_id": "41461650"}, {"ref": "oguzhandelibas/titanic-eda-by-od", "kernel_id": "41591176"}, {"ref": "navodithshankar/titanic-survival-analysis", "kernel_id": "41537441"}, {"ref": "komaldhande/exercise-arithmetic-and-variables", "kernel_id": "41637029"}, {"ref": "artificialmindset/0-760-rf-vs-gb-vs-lr-vs-knn", "kernel_id": "41448901"}, {"ref": "artificialmindset/titanic-v2", "kernel_id": "41613372"}, {"ref": "diegohe314/titanic-con-modelo-logit-de-statsmodels", "kernel_id": "41612893"}, {"ref": "jjayfabor/titanic-decisiontree", "kernel_id": "41757490"}, {"ref": "alanersia/learning-data-science-from-titanic-datasets", "kernel_id": "41464404"}, {"ref": "rezasafarpour/titanic-decisiontreeclassifier", "kernel_id": "41462828"}, {"ref": "koushal13032003/dataset", "kernel_id": "41459287"}, {"ref": "ozancakir/titanic-project-by-ozancakir", "kernel_id": "41501958"}, {"ref": "satyamkumardwivedi/titanic-data", "kernel_id": "41470630"}, {"ref": "ohmithu/notebookb4b645e9bb", "kernel_id": "41927262"}, {"ref": "andrewj90/titanic-tabpfn-rf-svm-knn-gbc-k-fold", "kernel_id": "41729099"}, {"ref": "jimmyallendavis/jad-titanic-data-fun", "kernel_id": "41579066"}, {"ref": "jakecyr/predict-titanic-survivors", "kernel_id": "41516935"}, {"ref": "goodnightz/titanicnb", "kernel_id": "41742299"}, {"ref": "mp23mca1081/assignment", "kernel_id": "41538226"}, {"ref": "ashutoshdevpura/titanic-data-analysis-and-model-training", "kernel_id": "41545383"}, {"ref": "sholokhovan/notebookd7e8d6ce9a", "kernel_id": "41556929"}, {"ref": "jiangfengzhao/notebookdee1eb2914", "kernel_id": "41555905"}, {"ref": "atuzen/titanic-simple-approaches", "kernel_id": "41826672"}, {"ref": "erfanjavid/titanic-ml-classification", "kernel_id": "41643365"}, {"ref": "vishalginni/titanic", "kernel_id": "41766283"}, {"ref": "bhagyashree16/titanic-survival", "kernel_id": "41702235"}, {"ref": "acepatil/titanic", "kernel_id": "41740993"}, {"ref": "rodrigolauro/titanic-survive-prediction", "kernel_id": "41695956"}, {"ref": "younushassankhan/exercise-arithmetic-and-variables", "kernel_id": "41653867"}, {"ref": "mimimimineko/tutorial", "kernel_id": "41968060"}, {"ref": "hideakimizoue/notebook-titanic-practice1", "kernel_id": "41671502"}, {"ref": "gabrielscheid/titanic4", "kernel_id": "41868245"}, {"ref": "michaelspencergo/titanic-dataset-using-basic-neural-networks", "kernel_id": "41877656"}, {"ref": "christopherf24/gender-pay-gap-in-ds", "kernel_id": "41748027"}, {"ref": "chaeminyun/start-titanic-230809", "kernel_id": "41843188"}, {"ref": "hsw1212/titanic-machine-learning-from-disaster-rf-model", "kernel_id": "41800556"}, {"ref": "wjr0814/notebook129ae89ccf", "kernel_id": "41818409"}, {"ref": "pragnayanduri/getting-started-with-titanic", "kernel_id": "41816867"}, {"ref": "belyaevme/titanic-desicion-tree", "kernel_id": "41832897"}, {"ref": "belyaevme/titanic-random-forest", "kernel_id": "41863008"}, {"ref": "belyaevme/titanic-logistic-regression", "kernel_id": "41868230"}, {"ref": "hrishabh11/titanicml-hs", "kernel_id": "41981495"}, {"ref": "harsh149/titanic", "kernel_id": "41947440"}, {"ref": "krishnamishras/titanic-prediction-model-84-accuracy", "kernel_id": "41894556"}, {"ref": "z1rt02/notebook8c58d83700", "kernel_id": "41937129"}, {"ref": "glebmikh/ds29-plus-pandas", "kernel_id": "42749972"}, {"ref": "dcasbol/charllm-titanic", "kernel_id": "42595440"}, {"ref": "scatteredflo/appendix1-titanic-top-4-with-ensemble-modeling", "kernel_id": "42118467"}, {"ref": "marcelodias/ifsul-exemplo-titanic-2", "kernel_id": "42921967"}, {"ref": "marcelodias/ifsul-exemplo-titanic", "kernel_id": "42881167"}, {"ref": "jgmaldo/titanic-versionii", "kernel_id": "42767017"}, {"ref": "alexjoe/how-to-finetune-llms-with-lora", "kernel_id": "42847732"}, {"ref": "jessyrakesh/notebook08ff00a01a", "kernel_id": "42413240"}, {"ref": "udayr007/exercise-arithmetic-and-variables", "kernel_id": "42563441"}, {"ref": "kuzmentsov/titanic-machine-learning-from-disaster-80-acc", "kernel_id": "42868814"}, {"ref": "haseebkn/titanic-dataset", "kernel_id": "42666605"}, {"ref": "suyashkhare/logistic-regression-and-decision-tree", "kernel_id": "42063013"}, {"ref": "gauravsrivastav2507/data-viz-tutorial-with-titanic-and-seaborn", "kernel_id": "42176837"}, {"ref": "aqsa2777/notebooke2465348ee", "kernel_id": "42136154"}, {"ref": "evidence/titanic-competition-test", "kernel_id": "42842796"}, {"ref": "stpeteishii/pss3-ep20-kmeans-clustering", "kernel_id": "42072964"}, {"ref": "stpeteishii/titanic-lgbm-with-pca-features", "kernel_id": "42373569"}, {"ref": "hungvu122/hello-titanic", "kernel_id": "42834300"}, {"ref": "sushmitaaa/data-mining-hw1-titanic", "kernel_id": "42762908"}, {"ref": "flavioquaresma/predict-who-survival-using-classification-ml-codes", "kernel_id": "42524613"}, {"ref": "nikunjphutela/data-mining-hw1-titanic-kaggle-problem-2-q1", "kernel_id": "42994719"}, {"ref": "jatinchawda/titanic-eda-model", "kernel_id": "42249474"}, {"ref": "kirilllekanov/pytorch-neural-network-starter-detail", "kernel_id": "42635367"}, {"ref": "radhakrishnanb/titanic-indepth-eda", "kernel_id": "42711876"}, {"ref": "jahnvidubey/titanic-prediction", "kernel_id": "42002419"}, {"ref": "mishajarsaniya/titanic-data-science-solutions", "kernel_id": "42886968"}, {"ref": "aliabdin1/titanic-fast-and-easy-eda", "kernel_id": "42651313"}, {"ref": "aliabdin1/how-does-quantization-work", "kernel_id": "42692393"}, {"ref": "aliabdin1/how-to-finetune-llms-with-lora", "kernel_id": "42670917"}, {"ref": "wouldyoujustfocus/eda-new-insights-features-extraction", "kernel_id": "42673267"}, {"ref": "goduguanilhimam/working-with-the-titanic-dataset", "kernel_id": "42581871"}, {"ref": "jeanshe/titanic-machine-learning-from-disaster", "kernel_id": "42951607"}, {"ref": "shakuntala1/titanic", "kernel_id": "42275635"}, {"ref": "shahbazaliml/titanic", "kernel_id": "42589331"}, {"ref": "zgncandrttepe/zgncn-titanic-eda", "kernel_id": "42640530"}, {"ref": "tasfiqabedin/titanic-prediction", "kernel_id": "42305099"}, {"ref": "qondojanfaf/titanic", "kernel_id": "42056876"}, {"ref": "raviprakash22/titanic-machine-learning-from-disaster", "kernel_id": "42745698"}, {"ref": "nursyahrina/titanic-eda-and-feature-engineering", "kernel_id": "42042782"}, {"ref": "oliverkiranbrown/titanic-first-attempt", "kernel_id": "42719526"}, {"ref": "abdelrahmanaliali/titanic-in-depth-case-study-for-data-science", "kernel_id": "42730393"}, {"ref": "muhammedtahirakdeniz/learning-through-titanic", "kernel_id": "42017501"}, {"ref": "hendriknebel/cv-0-82-lb-0-79-kernel-for-the-titanic-dataset", "kernel_id": "42282794"}, {"ref": "abdelrahmanrabah/titanic-for-beginners-lgbm-and-xgb", "kernel_id": "42727394"}, {"ref": "dragonknight47/titanic-competition-notebook", "kernel_id": "42011501"}, {"ref": "meryemgenc/titanic-eda", "kernel_id": "42133167"}, {"ref": "seungjunleeofficial/titanic-0-78947-sol-keras", "kernel_id": "42953295"}, {"ref": "onwunyichisomebi/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "42704151"}, {"ref": "utkarshtomar736/utkarsh-randomforest", "kernel_id": "42008936"}, {"ref": "maestrodir/titanic-model-exploration", "kernel_id": "42406137"}, {"ref": "ahmedhosni00/titanic", "kernel_id": "42666200"}, {"ref": "ventureparker/titanicnote", "kernel_id": "42414232"}, {"ref": "ahmedgamalibrahimali/titanic-machine-learning-from-disaster", "kernel_id": "42293301"}, {"ref": "mcpenguin/titanic-eda-and-prediction-lb-0-775", "kernel_id": "42608284"}, {"ref": "syedmuhammadmooazam/titanic-survival-prediction", "kernel_id": "42343410"}, {"ref": "brokerus/ml-project-titanic-disaster-7-models", "kernel_id": "42221946"}, {"ref": "nishchay331/c2-titanic-ml-disaster", "kernel_id": "42322136"}, {"ref": "sebstutt/titanic-ml-try", "kernel_id": "42133973"}, {"ref": "mechiyad/takeling-the-titanic-dataset-with-tabnet", "kernel_id": "42558916"}, {"ref": "heshamfsalama/titanic-analysis-81-56-accuracy", "kernel_id": "42493704"}, {"ref": "hugovitorinocortez/titanic-dataset-exploration", "kernel_id": "42133858"}, {"ref": "muhammadtalhakhan12/exercise-arithmetic-and-variables", "kernel_id": "42794041"}, {"ref": "alexeyillarionov/simple-titanic-solution-0-79", "kernel_id": "42361528"}, {"ref": "evgeniionegin/sklearn-consultation", "kernel_id": "42276215"}, {"ref": "vuppalaadithyasairam/titanic-tutorial", "kernel_id": "42240860"}, {"ref": "guioda/titanic-g-winck", "kernel_id": "42861489"}, {"ref": "harshkumar19/titanic-machine-learning-from-disaster", "kernel_id": "42849303"}, {"ref": "haticezbolat/titanic-diary", "kernel_id": "42970461"}, {"ref": "mennatullahelsahy/titanic-eda-machine-learning-from-disaster", "kernel_id": "42469043"}, {"ref": "acedev003/simple-nn-with-python-multi-layer-perceptron", "kernel_id": "42676224"}, {"ref": "ahsaanarif/notebook-titanic-disaster", "kernel_id": "42363327"}, {"ref": "ahsaanarif/exercise-arithmetic-and-variables-8ee76b", "kernel_id": "42401581"}, {"ref": "amirkotobi/house-prices-dataanalysis", "kernel_id": "42916141"}, {"ref": "namle1427/train-ocr-data-aug", "kernel_id": "42588713"}, {"ref": "saeedeheydarian/35-important-pandas-functions", "kernel_id": "42037425"}, {"ref": "niskarshdwivedi/titanic-starter-submission", "kernel_id": "42600096"}, {"ref": "cemalemrealbayrak/titanic-tutorial", "kernel_id": "42828635"}, {"ref": "parthmshah1302/titanic-data-science-solutions", "kernel_id": "42933857"}, {"ref": "bhatnagardaksh/introduction-to-regular-expressions", "kernel_id": "42224723"}, {"ref": "bhatnagardaksh/neural-network-from-scratch-numpy-pandas", "kernel_id": "42501953"}, {"ref": "madhimadhanlibonce/titanic-disaster-ensemble-learning", "kernel_id": "42179860"}, {"ref": "aditikumari1710/titanic-prediction-80-97", "kernel_id": "42494982"}, {"ref": "samrahuseynova/titanicmlfromdisaster-score-0-7799-randomforest", "kernel_id": "42833713"}, {"ref": "azadshahvaladov/fromzerotohero", "kernel_id": "42915034"}, {"ref": "ziadabdelaziz/ml-automl", "kernel_id": "42600629"}, {"ref": "adnananam/titanic-challenge", "kernel_id": "42467883"}, {"ref": "fahmida23/titanic", "kernel_id": "42022498"}, {"ref": "farshadj101/titanic-simple-and-easy", "kernel_id": "42603393"}, {"ref": "pythonafroz/pandas-toolkit-for-beginners-part-1", "kernel_id": "42159983"}, {"ref": "omipandey/notebook131724bc74", "kernel_id": "42749800"}, {"ref": "nagrajdesai/titanic-eda", "kernel_id": "42049150"}, {"ref": "sherifyasser/titanic-classification-accurcy-90", "kernel_id": "42757964"}, {"ref": "ahmetyasinaytar/power-of-one-hot-encoding", "kernel_id": "42381054"}, {"ref": "mystical56/gradient-boosting-classifier", "kernel_id": "42186562"}, {"ref": "akshatmundra/titanic-with-just-rules", "kernel_id": "42960112"}, {"ref": "aliwannous2021/tita-knighbor", "kernel_id": "42382179"}, {"ref": "rajatraj0502/titanic-machine-learning-from-disaster", "kernel_id": "42673292"}, {"ref": "omikumarmakadia2121/titanic-stremlite", "kernel_id": "42792174"}, {"ref": "omikumarmakadia2121/titanic-v10", "kernel_id": "42032011"}, {"ref": "calvinsutio/titanic-competition", "kernel_id": "42022846"}, {"ref": "sidelmeril/titanic-feature-engineering-and-rf-80-accuracy", "kernel_id": "42472271"}, {"ref": "pedroamavizca/a-fresh-take-on-predicting-survival", "kernel_id": "42666192"}, {"ref": "shivrajs/titanic-submission-the-smallest-code-ever", "kernel_id": "42227510"}, {"ref": "melonpasta/kaggletutorial", "kernel_id": "42748525"}, {"ref": "metalssimounir/titanic-survival-prediction-using-random-forest", "kernel_id": "42407632"}, {"ref": "smahdimastoor/svm-titanic", "kernel_id": "42201848"}, {"ref": "amanmukati/titanic-machine-learning", "kernel_id": "42496410"}, {"ref": "mothecarpenter/titanic-submission-solution", "kernel_id": "42027042"}, {"ref": "egorgershevskiy/titanic-logistic-regression-catboost", "kernel_id": "42187352"}, {"ref": "orvillewilcox/model-testing-and-tuning-for-survival-prediction", "kernel_id": "42333483"}, {"ref": "yuraslastya/titanic-top3-catboost-optuna", "kernel_id": "42195472"}, {"ref": "rohithjuluru2201/titanic-dataset", "kernel_id": "42971725"}, {"ref": "mohamedbatran/titanic-classification-compettion", "kernel_id": "42041425"}, {"ref": "uom190346a/the-never-ending-battle-machine-learning-a-z", "kernel_id": "42896342"}, {"ref": "akshayjayasoorya/cse572-hw1-titanic", "kernel_id": "42887367"}, {"ref": "whatsupinternet/titanic-competetition-first-attemt", "kernel_id": "42222618"}, {"ref": "grgoryburiez/notebook41dcca45b3", "kernel_id": "42985442"}, {"ref": "jackksoncsie/polynomial-regression-from-scratch", "kernel_id": "42378008"}, {"ref": "ahmed3okka/titanic-rf", "kernel_id": "42754160"}, {"ref": "aniketsiraswal/titanic-machine-learning-from-disaster", "kernel_id": "42044511"}, {"ref": "somtochukwuachikanu/titanic-machine-learning-from-disaster", "kernel_id": "42095255"}, {"ref": "gabcrisro/titanic-machine-learning-from-disaster", "kernel_id": "42928858"}, {"ref": "ayangg/titanic-ml-example", "kernel_id": "42198989"}, {"ref": "b71tarekhshaikh/notebook5d33caf92e", "kernel_id": "42150818"}, {"ref": "malliere/my-titanic-dataset-78-708", "kernel_id": "42928505"}, {"ref": "renaiae/titanic", "kernel_id": "42250139"}, {"ref": "egorkainov/filling-in-the-gaps-eda-accuracy-80", "kernel_id": "42346509"}, {"ref": "egorkainov/catboost-288th-place-80-accuracy", "kernel_id": "42457590"}, {"ref": "hsingc/titanic-prediction", "kernel_id": "42995747"}, {"ref": "adhamaymam/titanic-using-voting-classifier-with-0-7775-score", "kernel_id": "42205315"}, {"ref": "raju20/titanic-random-forest", "kernel_id": "42855401"}, {"ref": "sourabhsingh03993493/titanic-data-science-solutions", "kernel_id": "42375924"}, {"ref": "apex31/titanic", "kernel_id": "42564746"}, {"ref": "pragatobhattacharjee/titanic", "kernel_id": "42196293"}, {"ref": "aliessamali/titanic-survival-classification-competition", "kernel_id": "42012962"}, {"ref": "kartikdetroja/pandas-tutorial", "kernel_id": "42453454"}, {"ref": "jessehilario/titanic-comparing-multiple-models-in-a-pipeline", "kernel_id": "42683335"}, {"ref": "umeshkhatiwada/xgboost-titanic-survival-prediction", "kernel_id": "42387677"}, {"ref": "leen98/eda-and-feature-engineering-the-titanic-sinking", "kernel_id": "42905426"}, {"ref": "ritaaggelou/titanic-prediction-of-death", "kernel_id": "42902208"}, {"ref": "emirbilir/titanic-eda-and-random-forest", "kernel_id": "42597671"}, {"ref": "frizmo/titanic-competition-how-top-lb-got-their-score", "kernel_id": "42436309"}, {"ref": "aagyapalkaur/top8-titanic-competition-eda-voting-classifier", "kernel_id": "42507126"}, {"ref": "liamarguedas/feature-selection-for-machine-learning", "kernel_id": "42290484"}, {"ref": "mychkvad/titanic-with-fast-ai-deep-learning", "kernel_id": "42599347"}, {"ref": "knoob3/titanic-survival-problem", "kernel_id": "42011234"}, {"ref": "anthonymalumbe/titanic-competition-anthony-ml", "kernel_id": "42593612"}, {"ref": "huseyincosgun/missing-data-imputation-visualization", "kernel_id": "42366511"}, {"ref": "juthishajayan/task-3-calculate-summary-statistics", "kernel_id": "42957426"}, {"ref": "juthishajayan/titanic-dataset-data-cleaning", "kernel_id": "42357018"}, {"ref": "saurabhshukla1010/logistic-titanic", "kernel_id": "42183566"}, {"ref": "babuchennuboyina/notebook4c65479b56", "kernel_id": "42844428"}, {"ref": "elizabethtofany/titanic-survival-prediction", "kernel_id": "42822925"}, {"ref": "baorbaor/test-lora-adapter", "kernel_id": "42987831"}, {"ref": "jisnukalita/getting-started-with-titanic", "kernel_id": "42633618"}, {"ref": "abrarnazib/titanic-contest-solution", "kernel_id": "42634731"}, {"ref": "thjamali/titanic-survival-prediction", "kernel_id": "42516843"}, {"ref": "matthewbadger/titantic-eda", "kernel_id": "42389748"}, {"ref": "anthonyweaver/titanic-kaggle-catboost-78-7", "kernel_id": "42419334"}, {"ref": "vicmangiltafolla/titanic-gridsearchcv-voting-classifier-0-8", "kernel_id": "42288788"}, {"ref": "belligraf/titanic2", "kernel_id": "42776954"}, {"ref": "andydollin21/titanic-survivor-s-prediction-model-with-spark", "kernel_id": "42719498"}, {"ref": "salahmuhammad/titanic-eda", "kernel_id": "42908688"}, {"ref": "rozhanmirzaei/dense-model-titanic-78-accuracy-with-pipeline", "kernel_id": "42527297"}, {"ref": "alizgrdede/titanic-survival", "kernel_id": "42599905"}, {"ref": "ignaciotigurius/my-titanic-submission", "kernel_id": "42905920"}, {"ref": "anlmehmetuyar/titanic-imputer-dt-rf-boost-lazypredict", "kernel_id": "42100588"}, {"ref": "abrafey/testing-all-ml-models", "kernel_id": "42557616"}, {"ref": "mohammadmehdigh/titanic", "kernel_id": "42937089"}, {"ref": "thabresh/descriptive-statistics-titanic-dataset", "kernel_id": "42423847"}, {"ref": "avinashsingh2000/project-titanic", "kernel_id": "42165996"}, {"ref": "muzamilaslam/predict-titanic-survival-with-decision-tree", "kernel_id": "42363927"}, {"ref": "logu1bme/titanic-drown", "kernel_id": "42075997"}, {"ref": "nathankarns/titanic-predictions", "kernel_id": "42596883"}, {"ref": "qasimalhammad/titanic-ml-from-disaster-with-r", "kernel_id": "42534417"}, {"ref": "qasimalhammad/titanic-random-forest-in-r", "kernel_id": "42638214"}, {"ref": "qasimalhammad/titanic-xgboost-with-r", "kernel_id": "42877938"}, {"ref": "qasimalhammad/titanic-k-nearest-neighbor-classification-in-r", "kernel_id": "42831035"}, {"ref": "qasimalhammad/titanic-logistic-regression-model-in-r", "kernel_id": "42825516"}, {"ref": "indranujbanerjee/titanic-survival", "kernel_id": "42023977"}, {"ref": "sinanbavli04/titanic-with-impressive-presentation", "kernel_id": "42758085"}, {"ref": "abinkthankachan/titanic-survival-prediction", "kernel_id": "42382282"}, {"ref": "enricomanosperti/titanic", "kernel_id": "42032745"}, {"ref": "umutky/titanic-getting-started", "kernel_id": "42645018"}, {"ref": "pyrotech/titanic-code-transformers", "kernel_id": "42527442"}, {"ref": "playfulminds/titanic-shipwreak", "kernel_id": "42396269"}, {"ref": "shathaabdallah/titanic-01", "kernel_id": "42543948"}, {"ref": "khanaabidabdal/titanic-survival-prediction-using-tensorflow", "kernel_id": "42699564"}, {"ref": "khanaabidabdal/titanic-survival-prediction-using-ml", "kernel_id": "42752367"}, {"ref": "manasrode202/notebookc5ce54fa8a", "kernel_id": "42240874"}, {"ref": "minanalminazor/predict-titanic-survival-with-logisticregression", "kernel_id": "42352587"}, {"ref": "ani1032002/titanic", "kernel_id": "42777306"}, {"ref": "dnyaneshyeole/exploring-the-impact-of-imputing-cabin-variable", "kernel_id": "42247461"}, {"ref": "nithinthuruthipally/titanic-gender-specification", "kernel_id": "42941286"}, {"ref": "vinnieb/titanic-random-forest-practice", "kernel_id": "42299886"}, {"ref": "rchiranjeevisrinivas/titanic-predictor", "kernel_id": "42081323"}, {"ref": "leanderangelo/titanic-ml-logisticregression", "kernel_id": "42543567"}, {"ref": "gauriket/titanic-survival-prediction", "kernel_id": "42951391"}, {"ref": "soardraspi/titanic-gettingstarted-p1", "kernel_id": "42709837"}, {"ref": "rafalpl/titanic-in-r", "kernel_id": "42505731"}, {"ref": "srinivasarao1413/tatanic-prediction", "kernel_id": "42808891"}, {"ref": "adiaholic/titanic-data-science-solutions", "kernel_id": "42968339"}, {"ref": "yunsuxiaozi/titanic", "kernel_id": "42580727"}, {"ref": "unsatisfiable/my-titanic", "kernel_id": "42907872"}, {"ref": "madinadanaeva/exercise-arithmetic-and-variables", "kernel_id": "42700183"}, {"ref": "bacharacherif/titanic-survival-prediction-variability", "kernel_id": "42706075"}, {"ref": "dineshghadge/titanicdata", "kernel_id": "42003953"}, {"ref": "mregoyau/titantic-dataset-prediction-acc-82-58", "kernel_id": "42122571"}, {"ref": "mregoyau/titantic-dataset-prediction-version-2", "kernel_id": "42196343"}, {"ref": "parvsoni/titanic-survival-prediction", "kernel_id": "42229581"}, {"ref": "yamanju/titanic-competition-challenge", "kernel_id": "42041305"}, {"ref": "muhammadilyasputtar/ilyas-titanic-comp", "kernel_id": "42147416"}, {"ref": "abdurrahman22224/eda-titanic", "kernel_id": "42224194"}, {"ref": "siyarz/titanic-eda-project", "kernel_id": "42676005"}, {"ref": "arunjangir245/univariate-analysis-of-titanic-dataset", "kernel_id": "42313991"}, {"ref": "arunjangir245/bivariate-and-multivariate-analysis", "kernel_id": "42320008"}, {"ref": "kaineyamashiro/titanic-prediction-over-80-accuracy", "kernel_id": "42863801"}, {"ref": "offwitt0/getting-started-with-titani", "kernel_id": "42820986"}, {"ref": "abhijit89kumar/titanicfirst", "kernel_id": "42898182"}, {"ref": "mukulchandraray/exercise-arithmetic-and-variables", "kernel_id": "42361170"}, {"ref": "matthieumarissal/titanic-a-beginner-model", "kernel_id": "42190794"}, {"ref": "himynameisho/titanic-456", "kernel_id": "42049701"}, {"ref": "dariaremizova/titanic-svm-model", "kernel_id": "42817406"}, {"ref": "thomasscottwhite1/acm-data-1", "kernel_id": "42484559"}, {"ref": "nhatminhdang/eda-machine-learning-titanic-from-disaster", "kernel_id": "42622459"}, {"ref": "issamsalmi/titanic-eda-ml", "kernel_id": "42370508"}, {"ref": "lavanyatewari/notebookb7a6d15b52", "kernel_id": "42349987"}, {"ref": "kingofdakness/comeback", "kernel_id": "42939089"}, {"ref": "aliksemen/titanic-project", "kernel_id": "42151453"}, {"ref": "guilgo/titanic-my-first-model-with-randomforest", "kernel_id": "42251615"}, {"ref": "guilgo/titanic-with-adaboost", "kernel_id": "42314012"}, {"ref": "sagorkumarmitra/titanic-machine-learning-from-disaster", "kernel_id": "42077757"}, {"ref": "kamalnayan10/titanic-dataset-prediction", "kernel_id": "42097892"}, {"ref": "fsharif7/titanic-simple-decision-tree-approach", "kernel_id": "42602093"}, {"ref": "cheekati1/titanic", "kernel_id": "42163023"}, {"ref": "khedrub/bung-titanic-hyperparameter", "kernel_id": "42071289"}, {"ref": "khedrub/titanic-bung-hyperparameter", "kernel_id": "42065785"}, {"ref": "khedrub/titanic-beispiel-k-nstliches-neuronales-netz", "kernel_id": "42120142"}, {"ref": "vnguyndt/titanic-survive-prediction", "kernel_id": "42316027"}, {"ref": "muhammadawn/all-models-accuracy-80", "kernel_id": "42646749"}, {"ref": "jyesh1711/notebookbe61b1ea07", "kernel_id": "42313217"}, {"ref": "deadheartbeads/titanic-dataset", "kernel_id": "42941138"}, {"ref": "gomaaabied25/titanic-machine-learning-from-disaster", "kernel_id": "42350472"}, {"ref": "rezavalizade/titanic-prediction", "kernel_id": "42662503"}, {"ref": "leonidemelyanenko/best-titanic-prediction", "kernel_id": "42119439"}, {"ref": "shivrajguvi/titanic-all-algorithms", "kernel_id": "42229443"}, {"ref": "mojtabaenayati/titanic-lr", "kernel_id": "42937088"}, {"ref": "thingoclinhhuynh/titanic-sep23", "kernel_id": "42985116"}, {"ref": "leelailai/titanic", "kernel_id": "42062348"}, {"ref": "inderjeet21/titanic-notebook", "kernel_id": "42222807"}, {"ref": "osamaabobakr/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "42236052"}, {"ref": "vladislavmazur/notebooke6bfa093fb", "kernel_id": "42127856"}, {"ref": "dishaagarwal7001/exploring-titanic-dataset", "kernel_id": "42086265"}, {"ref": "shwetankgoswami/titanic-survival-prediction-2", "kernel_id": "42242531"}, {"ref": "nathaniellybrand/titanic-competition-submission", "kernel_id": "42010178"}, {"ref": "nabileljabri/titanic-competition", "kernel_id": "42227068"}, {"ref": "ivankucherov/titanic", "kernel_id": "42068937"}, {"ref": "erglbozkurt/titanic-exploratory-data-analysis", "kernel_id": "42792467"}, {"ref": "vincentlearn/machine-learning-started-with-titanic", "kernel_id": "42431077"}, {"ref": "kooroshkz/titanic-competition", "kernel_id": "42026109"}, {"ref": "janithkariyawasam/titanic-machine-learning-from-disaster", "kernel_id": "42263518"}, {"ref": "hoanglongroai/79-accuracy-from-titanic-disaster", "kernel_id": "42743267"}, {"ref": "viktormikhaylov/notebookb79cf5a08e", "kernel_id": "42634500"}, {"ref": "ferielbeltaief/data-exploration-and-cleaning-titanic", "kernel_id": "42134792"}, {"ref": "swarjagdale/titanic-attempt", "kernel_id": "42094225"}, {"ref": "ariaet/titanic-classification-randomforest", "kernel_id": "42450970"}, {"ref": "hoyongj/titanic-popular-models-in-machine-learning", "kernel_id": "42778896"}, {"ref": "siva0310/gradient-boosting-scratch", "kernel_id": "42685049"}, {"ref": "kemalcivaner/titanic-machine-learning-from-disaster", "kernel_id": "42279745"}, {"ref": "alexandriaa/titanic-machine-learning-v2", "kernel_id": "42441240"}, {"ref": "manarsabrii/titanic-eda-modeling", "kernel_id": "42359054"}, {"ref": "singhayush16/titanic", "kernel_id": "42197153"}, {"ref": "mukkaraniranjankumar/eda-titanic-survivals-logisticregre-624534", "kernel_id": "42459547"}, {"ref": "mukkaraniranjankumar/eda-titanic-survivals-logisticregression", "kernel_id": "42078962"}, {"ref": "ramezmaged/titanic-ml", "kernel_id": "42763589"}, {"ref": "remsener/titanic-eda", "kernel_id": "42004596"}, {"ref": "adityakishor1/titanic-competition-eda", "kernel_id": "42026816"}, {"ref": "samh0ng/automl-benchmark-titanic-disaster", "kernel_id": "42619301"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "pranavtambre/exercise-arithmetic-and-variables", "kernel_id": "42911428"}, {"ref": "moemnelhalose/titanic-classification-ml-auto-ml-test", "kernel_id": "42371495"}, {"ref": "borhanmukto/top-5-titanic-passenger-survival-prediction", "kernel_id": "42078048"}, {"ref": "morezak/titanic-with-nn", "kernel_id": "42648029"}, {"ref": "georgem1984/titanic", "kernel_id": "42246195"}, {"ref": "leejun0402/titanic-dataset-with-neural-networks", "kernel_id": "42698578"}, {"ref": "dinh2k/project-titanic", "kernel_id": "42173803"}, {"ref": "ahmetbayraktar98/titanic-eda", "kernel_id": "42721154"}, {"ref": "yoonexplorer/titanic-ml-from-disaster-eda", "kernel_id": "42994618"}, {"ref": "thejani/titanic", "kernel_id": "42697877"}, {"ref": "mattspotify2023/titanic-abdul", "kernel_id": "42918710"}, {"ref": "amdbouka/titanic-model", "kernel_id": "42418899"}, {"ref": "cristianbrugnara/beginner-pytorch-nn-titanicv1-1", "kernel_id": "42661954"}, {"ref": "adimallasaideepak/titanic-prediction", "kernel_id": "42827341"}, {"ref": "ihorboichuk/notebookfde8d7575c", "kernel_id": "42162048"}, {"ref": "ihorboichuk/notebookc7bb892d2b", "kernel_id": "42001308"}, {"ref": "ahmedali6102001/titanic-machine-learning-with-python", "kernel_id": "42824289"}, {"ref": "elvisyananlin/titanic-ml-prediction", "kernel_id": "42745274"}, {"ref": "matsveitsiareshka/titanic-model-my-first-model-ever", "kernel_id": "42283337"}, {"ref": "marquis03/predict-survival-on-the-titanic-using-tabnet", "kernel_id": "42179034"}, {"ref": "marquis03/predict-survival-on-the-titanic-using-catboost", "kernel_id": "42179782"}, {"ref": "marquis03/predict-survival-on-the-titanic-using-lightgbm", "kernel_id": "42179987"}, {"ref": "marquis03/predict-survival-on-the-titanic-using-xgboost", "kernel_id": "42179907"}, {"ref": "marquis03/predict-survival-on-the-titanic-using-tabpfn", "kernel_id": "42161159"}, {"ref": "marquis03/predict-survival-on-the-titanic-using-stacking", "kernel_id": "42204687"}, {"ref": "commentsm/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "42662924"}, {"ref": "leeliangkira/notebooke74cf73779", "kernel_id": "42625301"}, {"ref": "jayamgupta47/titanic-with-ann-preproc", "kernel_id": "42283543"}, {"ref": "luongvu307/titanic", "kernel_id": "42002780"}, {"ref": "muhammadawaistayyab/titanic-deep-learning", "kernel_id": "42821621"}, {"ref": "muhammadawaistayyab/titanic-using-deep-learning-basic", "kernel_id": "42789489"}, {"ref": "muhammadawaistayyab/titanic-datacleaning", "kernel_id": "42519197"}, {"ref": "muhammadawaistayyab/titanic-feature-engineering", "kernel_id": "42276594"}, {"ref": "danielenriquez21/titanic-danielprediction", "kernel_id": "42668529"}, {"ref": "akash1vishwakarma/titanic-survival-prediction", "kernel_id": "42184530"}, {"ref": "samiatisha/titanic-prediction-using-naive-bayes", "kernel_id": "42395032"}, {"ref": "samiatisha/titanic-using-random-forest", "kernel_id": "42295334"}, {"ref": "samiatisha/titanic", "kernel_id": "42100486"}, {"ref": "brianluhd/titanic-survival-predictions", "kernel_id": "42737258"}, {"ref": "liantsoarandria/notebooke9bf66c212", "kernel_id": "42090291"}, {"ref": "rizwanahmedabbasi/tensorflow2", "kernel_id": "42750518"}, {"ref": "rizwanahmedabbasi/tensorflow-imputer-onehotencoder", "kernel_id": "42748084"}, {"ref": "wtstephens/titanic-name-country-of-origin", "kernel_id": "42260171"}, {"ref": "andreynaligatskidias/titanic-prediction-as-a-begginer", "kernel_id": "42199043"}, {"ref": "zacharymessinger/titanic-classification", "kernel_id": "42569466"}, {"ref": "talhabarkaatahmad/titanic-analysis-featuring-cleaning-predict", "kernel_id": "42634772"}, {"ref": "talhabarkaatahmad/titanic-deep-learning-model", "kernel_id": "42911701"}, {"ref": "lastkenpachi/qwerty-titianic", "kernel_id": "42227942"}, {"ref": "sruthipalani/titanic-data-analysis", "kernel_id": "42326599"}, {"ref": "nihilisticneuralnet/beginners-learn-data-visualization-with-me", "kernel_id": "42627174"}, {"ref": "nihilisticneuralnet/0-78708-starting-with-gradient-boosting", "kernel_id": "42443898"}, {"ref": "sreekanthpolu/titanic-competition-best-solution", "kernel_id": "42820800"}, {"ref": "ryotatsubouchi/notebookaf35c96b9a", "kernel_id": "42413974"}, {"ref": "selimmustafaaltnz/titanic-analysis-and-future-engineering", "kernel_id": "42948996"}, {"ref": "am7474/gapminder-world-analysis", "kernel_id": "42957329"}, {"ref": "anuragraj03/titanic-machine-learning-competition", "kernel_id": "42755104"}, {"ref": "lauritsskovmadsen/titanic-with-fastai", "kernel_id": "42954969"}, {"ref": "mansi0123/titanic-dataset", "kernel_id": "42455619"}, {"ref": "shiveshrajput/predictions-using-svm-and-grid-search", "kernel_id": "42145797"}, {"ref": "shiveshrajput/predict-using-logestic-regression", "kernel_id": "42091562"}, {"ref": "dennisbucklin/machine-learning-with-titanic-competition", "kernel_id": "42358561"}, {"ref": "himanshuydv11/titanic-disaster-79-accuracy", "kernel_id": "42275675"}, {"ref": "victor98510/titanic-pytorch-ffnn", "kernel_id": "42662746"}, {"ref": "adshisha/titanic-voting", "kernel_id": "42034562"}, {"ref": "ayodatascientist/titanic-prediction-by-ayo-metrics", "kernel_id": "42062739"}, {"ref": "dnayan/titanic-kaggle-competition", "kernel_id": "42834179"}, {"ref": "khushipitroda11/titanic", "kernel_id": "42055257"}, {"ref": "ryannolan1/titanic-wip-78-accuracy", "kernel_id": "42874895"}, {"ref": "virtualshivam/staying-afloat-with-titanic", "kernel_id": "42190636"}, {"ref": "egorandreasyan/titanic", "kernel_id": "42594256"}, {"ref": "yasinpr7/titanic-ship", "kernel_id": "42037207"}, {"ref": "yeduharikishan123/exercise-arithmetic-and-variables", "kernel_id": "42113943"}, {"ref": "ruthpeace/titanic-trial", "kernel_id": "42724667"}, {"ref": "yougnseomoon/notebook9266541a12", "kernel_id": "42083699"}, {"ref": "rss1011/titanic-eda-data-cleaning-random-forest", "kernel_id": "42746905"}, {"ref": "sivmjha/titanic-tutorial", "kernel_id": "42921266"}, {"ref": "iozkaraca/titanic", "kernel_id": "42948365"}, {"ref": "alvarobayardi/titanic-eda-models-ensemble", "kernel_id": "42337752"}, {"ref": "gregsikora/titanic-multivariate-eda-grouping", "kernel_id": "42377743"}, {"ref": "ashirsial174/titanic", "kernel_id": "42809504"}, {"ref": "rafaelsa193/prediction-with-logistic-regression-and-eda-0-77", "kernel_id": "42293910"}, {"ref": "dillipmeher/titanic-solution-using-random-forest-tool-r", "kernel_id": "42714702"}, {"ref": "harshpatelind13/titanic-machine-learning-from-disaster-13", "kernel_id": "42918082"}, {"ref": "taherehnezam/project-titanic-f6fa5d", "kernel_id": "42190837"}, {"ref": "ysparkfromkor/titanic-dnn", "kernel_id": "42647460"}, {"ref": "amirmohammadparvizi/titanic-analysis", "kernel_id": "42735131"}, {"ref": "sibasundarmanik/titaniccomp", "kernel_id": "42200179"}, {"ref": "elantimes4/titanic-competition-notebook", "kernel_id": "42118144"}, {"ref": "shahidrhm/titanic-machine-learning-logistic-regression", "kernel_id": "42350015"}, {"ref": "akacoder404/titanic-competition-notebook", "kernel_id": "42194077"}, {"ref": "srihari341/titanic", "kernel_id": "42412972"}, {"ref": "umutakba/svc-with-nltk", "kernel_id": "42186381"}, {"ref": "umutakba/artificial-neural-network", "kernel_id": "42221893"}, {"ref": "sajidmajeed92/titanic-challenge-solved-using-machine-learning", "kernel_id": "42502657"}, {"ref": "chiranthaekanayake/notebookc462836735", "kernel_id": "42724119"}, {"ref": "mariambayoumy/titanic-survived", "kernel_id": "42374059"}, {"ref": "mohammedakheelsb/titanic-survival-prediction-eda-and-svm", "kernel_id": "42132563"}, {"ref": "ossm03/titanic-eda-modeling", "kernel_id": "42383303"}, {"ref": "ayanada/titanic-classification", "kernel_id": "42852604"}, {"ref": "engahmedelzoz/notebook11f91ab0d7", "kernel_id": "42677790"}, {"ref": "engahmedelzoz/notebookac54a99fc3", "kernel_id": "42677253"}, {"ref": "engahmedelzoz/titanic", "kernel_id": "42677848"}, {"ref": "jakeli666/logistic", "kernel_id": "42121351"}, {"ref": "jawadwarsi/titanic-survival-prediction", "kernel_id": "42227120"}, {"ref": "ahmadbarkat/titanicsurvivalpred", "kernel_id": "42703022"}, {"ref": "mk808mk808/notebook9a7530ee56", "kernel_id": "42521027"}, {"ref": "buonoatsushi/titanic-machine-learning-from-disaster", "kernel_id": "42727960"}, {"ref": "belyaevme/titanic-nn", "kernel_id": "42161338"}, {"ref": "belyaevme/titanic-xgboost", "kernel_id": "42065777"}, {"ref": "belyaevme/titanic-xgb-2", "kernel_id": "42387613"}, {"ref": "belyaevme/titanic-rf-2", "kernel_id": "42320468"}, {"ref": "leongqijin/titanic-machine-learning-from-disaster", "kernel_id": "42245570"}, {"ref": "victormagadi/exploratory-data-analysis-on-the-titanic-dataset", "kernel_id": "42081834"}, {"ref": "akshit8459/titanic-comp", "kernel_id": "42127657"}, {"ref": "imtommi/titanic", "kernel_id": "42052127"}, {"ref": "sittisakjunchao/getting-started-with-titanic", "kernel_id": "42616553"}, {"ref": "jeremyfink/titanic", "kernel_id": "42592140"}, {"ref": "rileykeller08/getting-started-with-titanic", "kernel_id": "42103879"}, {"ref": "ankitanain/exercise-arithmetic-and-variables", "kernel_id": "42185570"}, {"ref": "thomastkavanagh/titanic", "kernel_id": "42476753"}, {"ref": "tehseensajid/titanic-dataset-eda", "kernel_id": "42662933"}, {"ref": "emt444/intro-to-software-automation", "kernel_id": "42029170"}, {"ref": "xxxzedmy/linear-predict", "kernel_id": "42177802"}, {"ref": "vivianadesiyan/exercise-arithmetic-and-variables", "kernel_id": "42123634"}, {"ref": "vanessah26/titanic-79-accuracy-using-rfc", "kernel_id": "42264499"}, {"ref": "ahmedsamirafattah/titanic", "kernel_id": "42291900"}, {"ref": "exzkaggle/titanic", "kernel_id": "42085654"}, {"ref": "mertalver/titanic-competition", "kernel_id": "42853721"}, {"ref": "ahoirg/titanic-with-nn-randomforest-and-kneighbors", "kernel_id": "42917934"}, {"ref": "mahmoudmagdyelnahal/titanic", "kernel_id": "42296296"}, {"ref": "mahmoudmagdyelnahal/analysis-of-titanic-dataset", "kernel_id": "42319647"}, {"ref": "lukasschaeffner/titanic-challenge-schaeffnerlu", "kernel_id": "42152818"}, {"ref": "vlaggutov/submission-gbdt", "kernel_id": "42262916"}, {"ref": "aayushisinghthakur/titanicsolution", "kernel_id": "42748866"}, {"ref": "vibhumishra707/titanic-machine-learning-eda", "kernel_id": "42349919"}, {"ref": "ayakov1/y-alexander-titanic-notebook17f7e9b3b8", "kernel_id": "42198709"}, {"ref": "chellasudeep/titanic-dataset-predictor", "kernel_id": "42232110"}, {"ref": "haroonsajid/titanic-eda", "kernel_id": "42317595"}, {"ref": "realbibek/getting-started-with-titanic1", "kernel_id": "42485721"}, {"ref": "ayushk0808/titanic-eda", "kernel_id": "42276489"}, {"ref": "rauljiranpriyasinh/notebook4dcf746540", "kernel_id": "42352998"}, {"ref": "sromero481/titanic-intense-data-cleaning-model-fitting", "kernel_id": "42356697"}, {"ref": "acovze212/titanic-tutorial", "kernel_id": "42368113"}, {"ref": "avdfvfevfvf/titanic-eda", "kernel_id": "42375919"}, {"ref": "seoyunje/getting-started-with-titanic", "kernel_id": "42717204"}, {"ref": "zainabrazzaq90/titanic-tutorial", "kernel_id": "42419895"}, {"ref": "srishtikuniyal/titanic-ml-model", "kernel_id": "42558204"}, {"ref": "adrienleon/titanic-project-adrien-python", "kernel_id": "42711350"}, {"ref": "johntoniutti/titanic-competition", "kernel_id": "42590900"}, {"ref": "syedabdulazim/titanic-survival-prediction", "kernel_id": "42993894"}, {"ref": "bhagyaranasinghe/notebook51f75d5c34", "kernel_id": "42530672"}, {"ref": "shivi2024/notebook2f6f230f07", "kernel_id": "42549493"}, {"ref": "nithishsingh/titanic-machine-learning-from-disaster", "kernel_id": "42629004"}, {"ref": "mujtabaimran/titanic-classification-task", "kernel_id": "42559951"}, {"ref": "carsonayers/acm-data-1-1", "kernel_id": "42567193"}, {"ref": "juliapn/titanic-intro", "kernel_id": "42569712"}, {"ref": "litsnakepit/ml1-data-investigation-for-tabular-datasets", "kernel_id": "42628813"}, {"ref": "borispouw/survival-prediction-with-lr-and-random-forest", "kernel_id": "42662276"}, {"ref": "movingha/titanic-1", "kernel_id": "42927382"}, {"ref": "euler90h/logistic-regression-the-jax-way", "kernel_id": "42706795"}, {"ref": "ayushitiwari09/titanic-solution-using-random-forest-tool-bca12b", "kernel_id": "42715062"}, {"ref": "punam01kumavat/getting-started-with-titanic", "kernel_id": "42759550"}, {"ref": "varvaratasits/titanic-eda", "kernel_id": "42760420"}, {"ref": "touhidurrr/predict-survival-in-titanic-with-deep-learning", "kernel_id": "42816180"}, {"ref": "touhidurrr/predict-survival-in-titanic-with-decision-forests", "kernel_id": "42903770"}, {"ref": "touhidurrr/predict-survival-in-titanic-with-random-forest", "kernel_id": "42979508"}, {"ref": "juliamjames/exercise-arithmetic-and-variables", "kernel_id": "42805741"}, {"ref": "rsure21/raghavendra-titanic-run", "kernel_id": "42803529"}, {"ref": "krishnram/titanic-survival-prediction", "kernel_id": "42819031"}, {"ref": "sreevatsavreddy/how-random-forests-really-work-33f18e", "kernel_id": "42872857"}, {"ref": "jeloh98/jingen-titanic", "kernel_id": "42844882"}, {"ref": "nurayoryngaliyeva/lab-1-example", "kernel_id": "42849072"}, {"ref": "satpekoverasyl/lab-2-titanic", "kernel_id": "42849909"}, {"ref": "vatsav2569/how-random-forests-really-work", "kernel_id": "42872077"}, {"ref": "laerkelundhansen/notebook-titanic-po1b", "kernel_id": "42873601"}, {"ref": "davchowdary/notebook9e06a47de5", "kernel_id": "42912574"}, {"ref": "greenbone34/titanic-crystal-ball", "kernel_id": "42913863"}, {"ref": "adhipkashyap/cse572-hw2", "kernel_id": "42960657"}, {"ref": "darshvaidya26/titanic-survival-prediction-with-machine-learning", "kernel_id": "42968353"}, {"ref": "gopaltheboss/exercise-arithmetic-and-variables", "kernel_id": "42971593"}, {"ref": "gopaltheboss/getting-started", "kernel_id": "42972359"}, {"ref": "jankuper192/regressiemodel-en-eda-in-nl", "kernel_id": "43033786"}, {"ref": "jankuper192/titanic-using-tidymodels-rf-lightgbm-and-catboost", "kernel_id": "43770093"}, {"ref": "jessiema/getting-started-with-titanic", "kernel_id": "43421102"}, {"ref": "manishkr1754/titanic-survival-prediction", "kernel_id": "43680876"}, {"ref": "pkatherine/pkpacheco-0374446", "kernel_id": "43428667"}, {"ref": "ajayverma23/ajay-testing", "kernel_id": "43164473"}, {"ref": "anishhota/dm-572-titanic-data-science-solutions", "kernel_id": "43002329"}, {"ref": "smirithi/survival-prediction", "kernel_id": "43068376"}, {"ref": "derslerytu/notebook610e4781e0", "kernel_id": "43968581"}, {"ref": "soumya1984/titanic", "kernel_id": "43357332"}, {"ref": "kaykebonafe/titanic-classification-eda-fe", "kernel_id": "43160288"}, {"ref": "amruta0226/ipl-data-analysis", "kernel_id": "43892631"}, {"ref": "commandante/codsoft-internship-task-1", "kernel_id": "43957540"}, {"ref": "commandante/getting-back-to-the-titanic-dataset-2", "kernel_id": "43804015"}, {"ref": "erdemduman/machine-learning-models-for-titanic-dataset", "kernel_id": "43108319"}, {"ref": "oguzkhan/titanic-training", "kernel_id": "43834290"}, {"ref": "barrettotte/titanic", "kernel_id": "43972357"}, {"ref": "erdemtaha/titanic-project-eda-ml-tutorial", "kernel_id": "43254746"}, {"ref": "mannyg4011/titanic-and-xgboost-ensembling", "kernel_id": "43084038"}, {"ref": "mannyg4011/titanic-dmhw2", "kernel_id": "43039220"}, {"ref": "alexandersthompson/titanic-survival", "kernel_id": "43809998"}, {"ref": "sushmitaaa/data-mining-hw2-titanic", "kernel_id": "43879247"}, {"ref": "dhanyabahadur/linear-model-and-neural-net-scratch", "kernel_id": "43561670"}, {"ref": "matthew624/bae-chang-hyun-practice", "kernel_id": "43513381"}, {"ref": "nikunjphutela/data-mining-hw-1-problem-2-q2", "kernel_id": "43062866"}, {"ref": "conlan/titanic-competition", "kernel_id": "43304710"}, {"ref": "zuberrr/die-tanic", "kernel_id": "43937007"}, {"ref": "patriciakembia/titanic-project", "kernel_id": "43364135"}, {"ref": "shukuratbello/titanic-prediction", "kernel_id": "43302236"}, {"ref": "cw1025/exercise-arithmetic-and-variables", "kernel_id": "43949340"}, {"ref": "amlanbag/notebookf97cd322ca", "kernel_id": "43089413"}, {"ref": "mohammedobeidat/feature-engineering-part-1", "kernel_id": "43666111"}, {"ref": "tokuma0910/baseline-titanic-for-training", "kernel_id": "43850023"}, {"ref": "tokuma0910/eda-titanic-for-training", "kernel_id": "43282520"}, {"ref": "arielolin/notebook2287b309ae", "kernel_id": "43421889"}, {"ref": "ojedokunopeyemi/the-starting-titanic-project", "kernel_id": "43925505"}, {"ref": "mishajarsaniya/titanic-data-science-solutions-a4e623", "kernel_id": "43065803"}, {"ref": "bondugulaanirudh/titanic-data-science-solutions", "kernel_id": "43077771"}, {"ref": "batuhanbaak/predicting-with-an-ann-model", "kernel_id": "43119129"}, {"ref": "zahiddsu/titanic-survival-prediction-using-neural-network", "kernel_id": "43087719"}, {"ref": "varundeokar/titanic-data-science-solutions", "kernel_id": "43079827"}, {"ref": "ihorsukhorada/titanic-machine-learning-from-disaster", "kernel_id": "43116620"}, {"ref": "sviatoslavsakharov/titanic-tutorial", "kernel_id": "43540938"}, {"ref": "sh2orc/titanic-with-catboost-and-optuna-78-4-top-13", "kernel_id": "43516636"}, {"ref": "president0704/4-making-base-line-in-house-prices", "kernel_id": "43097550"}, {"ref": "inbeomspring/without-visualization", "kernel_id": "43082623"}, {"ref": "waqarhassankhan/titanic-data-science-solutions-cse-572-hw1-q2-a", "kernel_id": "43075671"}, {"ref": "waqarhassankhan/titanic-data-science-solutions-cse-572-hw1-q2-b", "kernel_id": "43076463"}, {"ref": "jasonteoh/cteoh17-ml-lv1-lab", "kernel_id": "43708211"}, {"ref": "sritanmotati/tjml-pandas-tutorial", "kernel_id": "43684798"}, {"ref": "mjameel/titanic-modeling-work", "kernel_id": "43303723"}, {"ref": "tanpatk/titanic-using-statsmodels", "kernel_id": "43229837"}, {"ref": "jobbrodriguez/exercise-arithmetic-and-variables", "kernel_id": "43479336"}, {"ref": "kelvinquansah/titanic-svm", "kernel_id": "43812996"}, {"ref": "wumanandpat/simple-titanic-model", "kernel_id": "43819174"}, {"ref": "collindavies/wcg-voting-ensemble-0-83014-lb", "kernel_id": "43500843"}, {"ref": "ashleykim2000/titanic-notebook", "kernel_id": "43344068"}, {"ref": "maritzaspott/predicting-titanic-survival", "kernel_id": "43722546"}, {"ref": "eslamfouad/mathematical-statistics-lab-2", "kernel_id": "43959917"}, {"ref": "eslamfouad/checking-missing-values-statistics", "kernel_id": "43949472"}, {"ref": "eslamfouad/titanic-scaling-and-normalization", "kernel_id": "43719499"}, {"ref": "eslamfouad/titanic-data-cleaning", "kernel_id": "43225901"}, {"ref": "eslamfouad/titanic-project", "kernel_id": "43291909"}, {"ref": "jahnvishah/titanic-data-science-solutions", "kernel_id": "43077109"}, {"ref": "kristiannova/feature-extraction-and-feature-selection", "kernel_id": "43583487"}, {"ref": "muhammadtalhakhan12/titanic-machine-learning-my-work", "kernel_id": "43127312"}, {"ref": "muhammadtalhakhan12/titanic-solution", "kernel_id": "43134365"}, {"ref": "gvs007/notebookf032c96074", "kernel_id": "43077290"}, {"ref": "gvs007/titanic-data-science-solutions", "kernel_id": "43074929"}, {"ref": "davidyaez/titanic-survival-predictions", "kernel_id": "43978723"}, {"ref": "ikhmalhakim/titanic-thingies", "kernel_id": "43120465"}, {"ref": "alicanpayasli/top-6-in-leaderboard-with-knn-eda-feature-eng", "kernel_id": "43224938"}, {"ref": "seodongha/notebook07cc6f7b8b", "kernel_id": "43945558"}, {"ref": "rhythmcam/make-model-using-titanic-simple-target-encoding", "kernel_id": "43888369"}, {"ref": "rhythmcam/titanic-simple-target-encoding", "kernel_id": "43887642"}, {"ref": "rishabhrathore055/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "43236715"}, {"ref": "dhyeydegda/logistic-regression-for-binary-classification", "kernel_id": "43702850"}, {"ref": "abdallahnsour/titanic-prediction-model", "kernel_id": "43623806"}, {"ref": "yajuvendrasinh/titanic-try-1", "kernel_id": "43222135"}, {"ref": "brunomendesccb/bruno-s-take-on-titanic-used-linear-regression", "kernel_id": "43274291"}, {"ref": "asmahattab/titanic-ml", "kernel_id": "43144987"}, {"ref": "fardinpy/titanic1", "kernel_id": "43382383"}, {"ref": "bhatnagardaksh/advanced-numpy-concepts-techniques", "kernel_id": "43518999"}, {"ref": "metin2/titaic-with-decision-tree", "kernel_id": "43542337"}, {"ref": "metin2/makine-renmesi-e-itim-serisi", "kernel_id": "43240202"}, {"ref": "samrahuseynova/titanicdisaster-score-0-79186-lgbm", "kernel_id": "43877226"}, {"ref": "sandysherif/titanic-model", "kernel_id": "43386953"}, {"ref": "osamaakhaled/titanic", "kernel_id": "43369679"}, {"ref": "uditsharma72/titanic-survival-prediction", "kernel_id": "43528512"}, {"ref": "eraygollu/titanik-al-mas-kitab", "kernel_id": "43753977"}, {"ref": "wilfridocortesorozco/titanic-linearregression-2columns", "kernel_id": "43736956"}, {"ref": "emericjim/titanic-without-machine-learning-or-ai-for-predict", "kernel_id": "43354008"}, {"ref": "sujithsrinivasan/project-1-0", "kernel_id": "43389576"}, {"ref": "krupadharamshi/titanic-ml-krupa-01", "kernel_id": "43166304"}, {"ref": "richarddev/titanic-survival-prediction", "kernel_id": "43564591"}, {"ref": "alirezanazari78/complete-eda-preprocessing-on-titanic", "kernel_id": "43443488"}, {"ref": "alirezanazari78/neural-network-on-titanic", "kernel_id": "43315057"}, {"ref": "amohankumar/titanic-survival-prediction", "kernel_id": "43775265"}, {"ref": "amohankumar/titanic-survival-analysis-and-prediction-100", "kernel_id": "43775505"}, {"ref": "yasinsametkaraca/titanic-predicton-exploratory-data-analysis-eda", "kernel_id": "43667724"}, {"ref": "chaitanyakatore/titanic", "kernel_id": "43236259"}, {"ref": "romanleo2003/titanic-advanced-feature-engineering-tutorial", "kernel_id": "43288492"}, {"ref": "tslol5516/new-classification-model", "kernel_id": "43940167"}, {"ref": "sidp24005/codesoft-project1-titanic-survival-prediction", "kernel_id": "43537678"}, {"ref": "eduardobrilliandy/titanic-v1", "kernel_id": "43086254"}, {"ref": "eduardobrilliandy/titanic-v2", "kernel_id": "43350359"}, {"ref": "yannan90/titanic-randomforestclassifier", "kernel_id": "43291247"}, {"ref": "hlatamer/notebooka0263bd5b3", "kernel_id": "43135508"}, {"ref": "vasiliiplotnikov/titanic-gridsearch-rf", "kernel_id": "43684313"}, {"ref": "neilurk20cs1037/titanic-arg-1", "kernel_id": "43174771"}, {"ref": "gabrielacolen/titanic-submission", "kernel_id": "43226991"}, {"ref": "sergeypolivin/predicting-survival-using-tensorflow-keras", "kernel_id": "43265722"}, {"ref": "thunder7/h2o-auto-ml-titanic", "kernel_id": "43539199"}, {"ref": "serhatbubolar/titanic-nb", "kernel_id": "43290305"}, {"ref": "azothh/titanic-ann-predictions", "kernel_id": "43201635"}, {"ref": "cassandrakozak/getting-started-with-titanic", "kernel_id": "43160544"}, {"ref": "rupeshji/titanic-dataset-with-97-accuracy", "kernel_id": "43687696"}, {"ref": "rezkitasyarihna/getting-started-with-titanic", "kernel_id": "43103736"}, {"ref": "inductiveanks/titanic-dataset-random-forest-application", "kernel_id": "43090561"}, {"ref": "sarahkjrmller/group-klara-sarah-zubi", "kernel_id": "43755809"}, {"ref": "rickkmr/notebook08f400d206", "kernel_id": "43389614"}, {"ref": "vaibhavctr/titanic-prediction", "kernel_id": "43501499"}, {"ref": "mattu34/simple-feature-analysis-for-beginners", "kernel_id": "43359616"}, {"ref": "izammohammed/matplotlib-seaborn-all-you-need", "kernel_id": "43355811"}, {"ref": "izammohammed/get-started-with-pandas", "kernel_id": "43256025"}, {"ref": "izammohammed/all-ml-algos", "kernel_id": "43226186"}, {"ref": "izammohammed/nltk-getting-started-guide", "kernel_id": "43749722"}, {"ref": "zechariaparas/titanic-learning-experience-1", "kernel_id": "43928611"}, {"ref": "brunoarezodarosa/titanic-survivor-prediction-with-r", "kernel_id": "43239782"}, {"ref": "muradpitafi/titanic-survival-predictions", "kernel_id": "43270344"}, {"ref": "alitaghipour/titanic-classification", "kernel_id": "43087463"}, {"ref": "nikolaienevoldsen/getting-started-with-titanic", "kernel_id": "43415735"}, {"ref": "aaradhyabadal/begginer-data-wraggling-college-lect-in-3-mins", "kernel_id": "43695292"}, {"ref": "jesutimilehinonayemi/titanic-survival-prediction", "kernel_id": "43147415"}, {"ref": "davilopess/titanic-randomforest", "kernel_id": "43611965"}, {"ref": "sunilthite/predict-survival-on-the-titanic-lr-knn", "kernel_id": "43415445"}, {"ref": "nicoleone/notebook27ad456da8", "kernel_id": "43389754"}, {"ref": "battuvamshikrishna/titanic-prediction", "kernel_id": "43216832"}, {"ref": "abdotolba/titanic-tutorial", "kernel_id": "43079517"}, {"ref": "avtnshm/titanic", "kernel_id": "43721255"}, {"ref": "jingzhi2370/disaster-tweet-eda", "kernel_id": "43038694"}, {"ref": "dinanksoni/titanic-76-79", "kernel_id": "43263675"}, {"ref": "mo7amed3twan/descriptive-statistics-cleaning-eda-titanicdata", "kernel_id": "43393941"}, {"ref": "amanmukati09/titanix", "kernel_id": "43698082"}, {"ref": "mastermind69/clustering-performance-comparison", "kernel_id": "43040490"}, {"ref": "pradhammummaleti/titanic", "kernel_id": "43765444"}, {"ref": "axelrui/ml4-foret", "kernel_id": "43219830"}, {"ref": "anwarhawash/titanwar", "kernel_id": "43871629"}, {"ref": "qasimalhammad/titanic-best-model-with-caret-with-r", "kernel_id": "43157518"}, {"ref": "hasanravda/pandas-tutorial-febf1b", "kernel_id": "43989205"}, {"ref": "kamoleshsarkar/notebook-sep-10", "kernel_id": "43027282"}, {"ref": "wayangid/randomforestclassifier", "kernel_id": "43567763"}, {"ref": "samvitgersappa/titanic-predictions-xgboost", "kernel_id": "43962201"}, {"ref": "mariamalkuwaiti/exercise-arithmetic-and-variables", "kernel_id": "43569328"}, {"ref": "endofnight17j03/titanic-survival", "kernel_id": "43259166"}, {"ref": "endofnight17j03/titanic-survival-2", "kernel_id": "43298972"}, {"ref": "victornicofac/titanic-disaster", "kernel_id": "43830359"}, {"ref": "victornicofac/exercise-arithmetic-and-variables", "kernel_id": "43816118"}, {"ref": "m000sey/titanic-boosted-ensemble-0-78229", "kernel_id": "43739163"}, {"ref": "sabienn/titanic-ensembled-predictions", "kernel_id": "43917763"}, {"ref": "sarthakchaure/titanic-prediction", "kernel_id": "43154045"}, {"ref": "nikolayzubrilov/titanic-eda-rf-feature-selection-optuna", "kernel_id": "43021961"}, {"ref": "yunsuxiaozi/boost-from-scratch-titanic", "kernel_id": "43894421"}, {"ref": "yunsuxiaozi/decision-tree-from-scratch-titanic", "kernel_id": "43885671"}, {"ref": "unsatisfiable/titanic-teamwork", "kernel_id": "43170070"}, {"ref": "mohammadm801/notebook2680c749c0", "kernel_id": "43334124"}, {"ref": "natalyamatyushenko/titanic-competition", "kernel_id": "43505442"}, {"ref": "ziwook/getting-started-with-titanic", "kernel_id": "43820460"}, {"ref": "sauravdb/titanic-simple-solution", "kernel_id": "43777464"}, {"ref": "yernarakhmetbek/titanic-advanced-feature-engineering-tutorial", "kernel_id": "43788918"}, {"ref": "yousefmohamed20/titanic", "kernel_id": "43274654"}, {"ref": "joydeyds/titanic-data-analysis", "kernel_id": "43147725"}, {"ref": "theobsidiangaming/titanic-survival-analysis", "kernel_id": "43650718"}, {"ref": "omartarekmoh/getting-started-with-titanic", "kernel_id": "43565899"}, {"ref": "alexeyshevchenko/titanic-disaster-analysis-rescue-survivors", "kernel_id": "43863409"}, {"ref": "dariaremizova/titanic-kneighbors-model", "kernel_id": "43453030"}, {"ref": "jamiewelsh2/titanic-survival-classifier-w-gradient-boosting", "kernel_id": "43680256"}, {"ref": "saianishnuthalapati/notebook417dddad59", "kernel_id": "43447398"}, {"ref": "taniamartynenko/titanic-ml-prediction-by-tania-martynenko", "kernel_id": "43225801"}, {"ref": "divyam88/titanic", "kernel_id": "43112496"}, {"ref": "tiagoenes/getting-started-with-titanic", "kernel_id": "43262292"}, {"ref": "ompawar9174/titanic-survivor", "kernel_id": "43471835"}, {"ref": "srividyauppalur/titanic-competition", "kernel_id": "43074828"}, {"ref": "srividyauppalur/exercise-arithmetic-and-variables", "kernel_id": "43074055"}, {"ref": "osamaabobakr/top-4-80-345-titanic", "kernel_id": "43739465"}, {"ref": "ibrahimawad02/titanic-competition", "kernel_id": "43912834"}, {"ref": "prateekchoudhary11/titanic-eda-predictions", "kernel_id": "43642309"}, {"ref": "kanishbkhagat/get-started-on-titanic-with-logistic-regression", "kernel_id": "43305038"}, {"ref": "romazhuk/notebook8de3b7d62f", "kernel_id": "43182076"}, {"ref": "urudya/titanichal", "kernel_id": "43677906"}, {"ref": "arishkaa05/fork-of-titanic-competition", "kernel_id": "43220162"}, {"ref": "minthihatun/titanic-survivors-prediction", "kernel_id": "43411605"}, {"ref": "daniilmelnik1308/titanic", "kernel_id": "43285911"}, {"ref": "carloslopez17/titanic-notebook-comparation", "kernel_id": "43458024"}, {"ref": "mohammedsalahuddin/predicting-survival-from-titanic-crash", "kernel_id": "43447531"}, {"ref": "chhelp/getting-started-with-titanic", "kernel_id": "43360679"}, {"ref": "miriamodeyianypeter/titanic-machine-learning-from-disaster", "kernel_id": "43166423"}, {"ref": "leonhardpiff/titanic-classifier", "kernel_id": "43574669"}, {"ref": "kalhanganjoo/titanic-data-science-solutions", "kernel_id": "43035864"}, {"ref": "athirasudevankeerthy/titanic-survival-prediction-model", "kernel_id": "43294381"}, {"ref": "adnan14/applying-ann-deep-learning-in-titanic", "kernel_id": "43806878"}, {"ref": "kristinademidova/notebook48aaac6eae", "kernel_id": "43593515"}, {"ref": "aurelegermain/titanic-with-different-models", "kernel_id": "43089591"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "ihorberdnyk/titanic", "kernel_id": "43468812"}, {"ref": "zukinni/titanic-predictions", "kernel_id": "43628578"}, {"ref": "k3rnelpan1c/first-submission", "kernel_id": "43180985"}, {"ref": "bellkelvin/basic-xgboost", "kernel_id": "43959669"}, {"ref": "jkraak/titanic-decisiontreeclassifier-0-84-score", "kernel_id": "43103208"}, {"ref": "daksh024/titanic-competition", "kernel_id": "43806062"}, {"ref": "azinzanganeh/titanic", "kernel_id": "43340505"}, {"ref": "resittasdemir/titanic-eda", "kernel_id": "43138449"}, {"ref": "omerabdelmoneim/titanic-random-forest", "kernel_id": "43386111"}, {"ref": "dmquindoza/titanic-practice", "kernel_id": "43396410"}, {"ref": "martinaschepers/titanic-ml", "kernel_id": "43268686"}, {"ref": "anywaysddd/230927titanic-with-randomforest", "kernel_id": "43676748"}, {"ref": "sujithm/titanic-eda", "kernel_id": "43300744"}, {"ref": "amohankumar07/titanic-survival-analysis", "kernel_id": "43719569"}, {"ref": "zheerwang/fork-of-notebook-zheer-titanic", "kernel_id": "43246484"}, {"ref": "nagoyab/titanic", "kernel_id": "43010047"}, {"ref": "yantaoxi/a-statistical-analysis-ml-workflow-of-titanic", "kernel_id": "43447695"}, {"ref": "weberjaw/jake-first-kaggle-notebook", "kernel_id": "43274584"}, {"ref": "wtstephens/titanic-svc-score-77-75", "kernel_id": "43772697"}, {"ref": "wtstephens/titanic-78-a-study-in-feature-engineering", "kernel_id": "43926593"}, {"ref": "aryanbhatt007/titanic-survivals", "kernel_id": "43088128"}, {"ref": "islamic/titanic-survival-prediction", "kernel_id": "43885500"}, {"ref": "bhargavdasari25/titanic-2", "kernel_id": "43738380"}, {"ref": "bhargavdasari25/titanic-3", "kernel_id": "43933333"}, {"ref": "abdulrasheed10/titanic-survival-prediction", "kernel_id": "43277985"}, {"ref": "v9107yokozeki/notebook45ddd22e3f", "kernel_id": "43645062"}, {"ref": "tgomesjuliana/titanic-feature-engineering", "kernel_id": "43506570"}, {"ref": "tasnimtaha/titanic-classification", "kernel_id": "43469742"}, {"ref": "giovanabandinelli/titanic-challenge", "kernel_id": "43349384"}, {"ref": "danilazubov/titanic-machine-learning-from-disaster", "kernel_id": "43788570"}, {"ref": "mohammadtalib786/proof-of-clt", "kernel_id": "43546149"}, {"ref": "dilleswarcelestio/my-first-notebook", "kernel_id": "43142800"}, {"ref": "antonvikranth/getting-started-with-titanic-machine-learning", "kernel_id": "43329470"}, {"ref": "febinphilips/titanic-machine-learning-from-disaster", "kernel_id": "43800239"}, {"ref": "sumaiaakter213353187/end-to-end-project-with-python", "kernel_id": "43286379"}, {"ref": "ryannolan1/titanic-voting-classifier-0-78947", "kernel_id": "43093833"}, {"ref": "obanga/exercise-arithmetic-and-variables", "kernel_id": "43530730"}, {"ref": "felicityzhuu/titanic-survival-prediction", "kernel_id": "43206213"}, {"ref": "alialavismartech/titanic-practice", "kernel_id": "43157279"}, {"ref": "siddiquialimas/mas-titanic", "kernel_id": "43718785"}, {"ref": "soufivandsmartech/ml-mr-ghasemi", "kernel_id": "43358886"}, {"ref": "simosezwenyoni/python-for-data-21-descriptive-statistics-075029", "kernel_id": "43329735"}, {"ref": "marziebahrami/titanic-data", "kernel_id": "43026437"}, {"ref": "artali/smartech-ml-hw1", "kernel_id": "43104503"}, {"ref": "ryanhopewell/first-competition-submission-titanic", "kernel_id": "43377475"}, {"ref": "alirezakhalili2001/titanic-dataset", "kernel_id": "43098889"}, {"ref": "leilamemarzadeh/notebookef92b2fd18", "kernel_id": "43142367"}, {"ref": "pratikdeshmane12/exercise-arithmetic-and-variables-d73b8c", "kernel_id": "43595715"}, {"ref": "mo3azsoliman/perform-data-cleaning-in-titanic-data-set", "kernel_id": "43923313"}, {"ref": "gustavoquerede/getting-started", "kernel_id": "43003544"}, {"ref": "victorbulgarov/a-statistical-analysis-ml-workflow-of-titanic", "kernel_id": "43388681"}, {"ref": "dogukanozek/survived-titanic-with-catboost", "kernel_id": "43419965"}, {"ref": "indubarnwal/titanic-survival", "kernel_id": "43550753"}, {"ref": "boonpingtan/titanic-project-v1", "kernel_id": "43246392"}, {"ref": "bisheshchakraborty/titanic-xgboost-with-grid-search", "kernel_id": "43251246"}, {"ref": "khaledashrafelkholy/titanic", "kernel_id": "43722579"}, {"ref": "jatinnk121/titanic-comp", "kernel_id": "43413930"}, {"ref": "lisavandendriest/titanic-notebook", "kernel_id": "43013294"}, {"ref": "dorukardaceviz/titanic-eda-tutorial", "kernel_id": "43016860"}, {"ref": "mominahumayun/myfirstintrotokaggle", "kernel_id": "43996119"}, {"ref": "urbanspr1nter/titanic-machine-learning-from-disaster", "kernel_id": "43948979"}, {"ref": "aditsrivastava0201/first-timer-here-give-feedback-upvote", "kernel_id": "43327108"}, {"ref": "atharva2ss2/notebook29cbaba286", "kernel_id": "43000512"}, {"ref": "maxmarriottclarke/titanic-eda-and-simple-prediction", "kernel_id": "43686026"}, {"ref": "yukitake93/solution-using-logistic-regression", "kernel_id": "43906578"}, {"ref": "razanaqvi14/titanic-machine-learning-from-disaster", "kernel_id": "43379199"}, {"ref": "zahidhasan60/titanic-basic-solution-using-adaboost", "kernel_id": "43126078"}, {"ref": "sknahid73/titanic-basic-solution-using-adaboost-947b15", "kernel_id": "43064017"}, {"ref": "sknahid73/titanic-basic-solution-using-adaboost", "kernel_id": "43063849"}, {"ref": "hassaneskikri/titanic-project-version-1", "kernel_id": "43229903"}, {"ref": "junjuly123/titanic", "kernel_id": "43481897"}, {"ref": "malikmuhammadahmed/titanicprediction", "kernel_id": "43185591"}, {"ref": "crasch0283/titanic-comp", "kernel_id": "43202909"}, {"ref": "furkantasci/titanic-rfc", "kernel_id": "43513286"}, {"ref": "eskilie/titanic", "kernel_id": "43120438"}, {"ref": "riyatahmat/notebook3a8bf90030", "kernel_id": "43389615"}, {"ref": "ryotarosakamoto/notebook77f84c4433", "kernel_id": "43389637"}, {"ref": "caa77998/kaggle-course2", "kernel_id": "43901212"}, {"ref": "japeralrashid/classifier-titanic", "kernel_id": "43167630"}, {"ref": "kriscodez/titanic-trial", "kernel_id": "43334675"}, {"ref": "jgacho/first-started-with-titanic", "kernel_id": "43372422"}, {"ref": "devanshinigam/titanic-classification", "kernel_id": "43795517"}, {"ref": "basmalayonis/titanic", "kernel_id": "43329471"}, {"ref": "guoguoiqngzk/titanic-competition-how-to-get-top-score-100", "kernel_id": "43215272"}, {"ref": "anthonytherrien/kaggle-power-up-predictive-feature", "kernel_id": "43269155"}, {"ref": "anthonytherrien/age-and-deck-prediction-on-titanic-dataset", "kernel_id": "43431607"}, {"ref": "vardhankushagra/titanic-data-set-eda", "kernel_id": "43506806"}, {"ref": "nakanishi08/notebook86abafa302", "kernel_id": "43389810"}, {"ref": "nakanishi08/notebook8f715cb432", "kernel_id": "43389739"}, {"ref": "kbps22/titanic-project", "kernel_id": "43090237"}, {"ref": "zechv000/jchun-titanic-all-models", "kernel_id": "43121340"}, {"ref": "lc3287/titanic-randomforest", "kernel_id": "43011474"}, {"ref": "heraldginting/notebook850c86abfb", "kernel_id": "43124226"}, {"ref": "leilanygmet003/lab222", "kernel_id": "43401464"}, {"ref": "samsubity/getting-started-with-titanic", "kernel_id": "43615981"}, {"ref": "stressica/test-sai", "kernel_id": "43183734"}, {"ref": "ahmertatla/notebook5a7f6e66f5", "kernel_id": "43759075"}, {"ref": "trunovamarina/neuralnetrwoks23-09-23", "kernel_id": "43529030"}, {"ref": "tigrana/notebook633227d690", "kernel_id": "43615793"}, {"ref": "mihirdave44/titanic-random-forest", "kernel_id": "43399882"}, {"ref": "preksha11/titanic-data-science-solutions", "kernel_id": "43037264"}, {"ref": "chandrahasm/dm-hw1-2-1", "kernel_id": "43001995"}, {"ref": "chandrahasm/dm-hw1-2-2", "kernel_id": "43076024"}, {"ref": "sriramgarimella/titanic-data-science-solutions", "kernel_id": "43008513"}, {"ref": "leolaborie/titanic-76", "kernel_id": "43260924"}, {"ref": "shivanibansal28/titanic-survival-shivani", "kernel_id": "43986055"}, {"ref": "avichaiiluz/notebook5a0c986c70", "kernel_id": "43052963"}, {"ref": "fl0a1e/titanic-with-pytorch", "kernel_id": "43318414"}, {"ref": "valibii/notebook42cb075b3b", "kernel_id": "43068823"}, {"ref": "lukmansh/titanic-ml", "kernel_id": "43090203"}, {"ref": "agipriyono/titanic", "kernel_id": "43638953"}, {"ref": "mendaripertiwi/klasifikasi-biner", "kernel_id": "43638993"}, {"ref": "radeaajiprasojo/titanic", "kernel_id": "43638959"}, {"ref": "ahmadrifqiazis/modul3", "kernel_id": "43638948"}, {"ref": "rabihr/sistemcerdas-modul2", "kernel_id": "43638960"}, {"ref": "evandamanngani/nn-model", "kernel_id": "43638720"}, {"ref": "evandamanngani/systemcerdas-tugaskelompok3", "kernel_id": "43952497"}, {"ref": "evandamanngani/notebook1eb2359c51", "kernel_id": "43988416"}, {"ref": "sonyaridesia/prakpd2", "kernel_id": "43647478"}, {"ref": "andrimartin/064002200010-praktikum-pd-2", "kernel_id": "43639725"}, {"ref": "murtuzahussin/get-started-with-titanic", "kernel_id": "43102503"}, {"ref": "murtuzahussin/exercise-arithmetic-and-variables", "kernel_id": "43101095"}, {"ref": "taseermehboob9/titanic-prediction-2nd-try", "kernel_id": "43502167"}, {"ref": "taseermehboob9/titanic-predictions", "kernel_id": "43464841"}, {"ref": "psycheenyx/064002200015-putri-syabillah-prak2", "kernel_id": "43647577"}, {"ref": "psycheenyx/064002200015-putri-syabillah-praktikum-3", "kernel_id": "43995656"}, {"ref": "marypy/titanic-tutorial", "kernel_id": "43142966"}, {"ref": "willianoliveiragibin/titanic-desater", "kernel_id": "43507715"}, {"ref": "vaniarahmadewi/prak-dapros-2", "kernel_id": "43647308"}, {"ref": "vartikajaiswal17/titanic-2023", "kernel_id": "43209753"}, {"ref": "stokesy7/titanic-survivor-prediction", "kernel_id": "43368715"}, {"ref": "semihkucukpehlivan/semih-kp-titanic-competition", "kernel_id": "43750573"}, {"ref": "tinahoudt121406/titanic-data-science-solutions", "kernel_id": "43298792"}, {"ref": "srushtikishorhiray/titanic", "kernel_id": "43286219"}, {"ref": "tlridr/titanic-simple-lazypredict", "kernel_id": "43289895"}, {"ref": "irenkani/kaggle-titanic-test", "kernel_id": "43274295"}, {"ref": "juansepulvedas/jrss-titanic", "kernel_id": "43392313"}, {"ref": "aminadot/implemented-with-neural-networks-using-pytorch", "kernel_id": "43894578"}, {"ref": "audiaulia/064002200003-audi-aulia-praktikum-pd-3", "kernel_id": "43995689"}, {"ref": "audiaulia/064002200003-audi-aulia-praktikum-pd-2", "kernel_id": "43647081"}, {"ref": "jovitaamanda/notebook7dad1d80db", "kernel_id": "43647761"}, {"ref": "naufalfawwazhk/064002300037-praktikum-pd-3", "kernel_id": "43995931"}, {"ref": "iskyapriliantos/prak2-dapros", "kernel_id": "43646477"}, {"ref": "timnaumann0/titanic-challenge", "kernel_id": "43530934"}, {"ref": "elisemaistre/titanic-elise-maistre", "kernel_id": "43379045"}, {"ref": "johntyrodes/titanic", "kernel_id": "43734221"}, {"ref": "kumikomasuguchi/notebooke0176a55bd", "kernel_id": "43394373"}, {"ref": "masoyoung/eda-to-dietanic-1", "kernel_id": "43854285"}, {"ref": "sandeep908singh/exercise-arithmetic-and-variables", "kernel_id": "43409550"}, {"ref": "rapsii/ls-10-feature-extraction-and-feature-selection", "kernel_id": "43602271"}, {"ref": "palash1011/getting-started-with-titanic", "kernel_id": "43442332"}, {"ref": "mohamadfaghedi/simple-model-for-the-titanic-dataset", "kernel_id": "43467402"}, {"ref": "johnnydoyes/all-ml-algos", "kernel_id": "43488039"}, {"ref": "markdelphh/first-book", "kernel_id": "43490632"}, {"ref": "komalvij0729/notebookf009cd452e", "kernel_id": "43528265"}, {"ref": "chandukm2003/notebook38aca78037", "kernel_id": "43727641"}, {"ref": "neelabhsomani/titanic-predictions", "kernel_id": "43656607"}, {"ref": "jacerhea/notebookcd9d378edc", "kernel_id": "43581550"}, {"ref": "yuabcde/titanic-yu", "kernel_id": "43595435"}, {"ref": "sarahelshakankiry/titanic", "kernel_id": "43955533"}, {"ref": "thaomlissa/s-g-29-09-machine-learning-thao-m-lissa", "kernel_id": "43785370"}, {"ref": "venomsky/titanic-nn-77-acc", "kernel_id": "43721204"}, {"ref": "nikhilashokbabar/titanic-eda-and-preprocessing", "kernel_id": "43855004"}, {"ref": "zacherycreekmore/creekmore-titanic-simulation", "kernel_id": "43673397"}, {"ref": "aditisinghh21/titanic-analysis", "kernel_id": "43681695"}, {"ref": "maximnaidenov/notebook668a25d769", "kernel_id": "43724189"}, {"ref": "samuelrenaud/notebook-del-titanic", "kernel_id": "43762531"}, {"ref": "technoworld12/titanic-tutorial", "kernel_id": "43748047"}, {"ref": "felisevan/an-attempt-of-using-catboost", "kernel_id": "43857912"}, {"ref": "s1lencef/notebookcf9f2cf05c", "kernel_id": "43904586"}, {"ref": "marselis263/logisticregression", "kernel_id": "43945219"}, {"ref": "proshayan/titanic-prediction", "kernel_id": "43951946"}, {"ref": "hillevisvendsen/titanic", "kernel_id": "43966215"}, {"ref": "xavier17/titanic-simple-logistic-regression", "kernel_id": "44626922"}, {"ref": "xavier17/titanic-simple-random-forest", "kernel_id": "44625546"}, {"ref": "xavier17/titanic-simple-fastai-tabularlearner", "kernel_id": "44626643"}, {"ref": "glebmikh/da87-eda", "kernel_id": "44562178"}, {"ref": "kiri11/ds-640-titanic-by-kirill", "kernel_id": "44582876"}, {"ref": "dima806/titanic-check-misclassification-patterns-catboost", "kernel_id": "44006404"}, {"ref": "robitalhazmi/titanic-machine-learning-from-disaster", "kernel_id": "44877970"}, {"ref": "spiridonoff/titanic-survivors", "kernel_id": "44629096"}, {"ref": "davidgoxo/visualizaci-n-de-datos-con-matplotlib-y-seaborn", "kernel_id": "44728956"}, {"ref": "dafniskrasniqi/td3-exo-1", "kernel_id": "44355962"}, {"ref": "amruta0226/everything-about-eda", "kernel_id": "44007747"}, {"ref": "upesshreya/feature-engineering-titanic-dataset", "kernel_id": "44169735"}, {"ref": "raotariq/exercise-arithmetic-and-variables", "kernel_id": "44588355"}, {"ref": "sendabs/titanic-competition-pipelines-custom-transformer", "kernel_id": "44004330"}, {"ref": "alimirferdos/ml-interview-hands-on-cheatsheet-fundamentals", "kernel_id": "44587255"}, {"ref": "joaopedromorais1989/titanic", "kernel_id": "44363115"}, {"ref": "ramonsoto77/notebookf5a4d9c5af", "kernel_id": "44942247"}, {"ref": "zeppellinn/fastai-lesson-03", "kernel_id": "44316915"}, {"ref": "slmsshk/titanic-rehan", "kernel_id": "44524426"}, {"ref": "anonymousds/ml-logistic-regression-project", "kernel_id": "44445368"}, {"ref": "nikunjphutela/data-mining-hw-2-q1", "kernel_id": "44118424"}, {"ref": "vishalsathya/titanic-data-science-solutions-c2938e", "kernel_id": "44621221"}, {"ref": "nayanvarmaalluri/notebook61f134eda4", "kernel_id": "44630635"}, {"ref": "yashshah3010/cse-572-dm-assignment2-q1-1225515382", "kernel_id": "44629005"}, {"ref": "abdulraheemabdul/dsn-titanic-classification", "kernel_id": "44026222"}, {"ref": "tomasluna/titanic-eda-for-beginners", "kernel_id": "44531102"}, {"ref": "kirillkolesnikov/kerasclassifier-0-784-titanic", "kernel_id": "44636513"}, {"ref": "tokuma0910/model-diagnosis-titanic-for-training", "kernel_id": "44283324"}, {"ref": "mishajarsaniya/task-1-data-mining-misha-jarsaniya", "kernel_id": "44586863"}, {"ref": "aycone/titanicdisasters", "kernel_id": "44703323"}, {"ref": "barotmahima/titanic-survival-prediction-and-analysis", "kernel_id": "44776274"}, {"ref": "maxielias/titanic-analysis-prediction", "kernel_id": "44939800"}, {"ref": "inbeomspring/using-chatgpt-rf-accuracy", "kernel_id": "44017552"}, {"ref": "thomasmeiner/bluecast-eda-automl-tracking", "kernel_id": "44799546"}, {"ref": "dmytrodobrynin/notebookd3f0ae9c09", "kernel_id": "44403082"}, {"ref": "ttbrosltd/titanic-dataset-decissiontree", "kernel_id": "44305616"}, {"ref": "juliolarrea/titanic-competition-ml", "kernel_id": "44849758"}, {"ref": "meetshah6338/titanicnotebook", "kernel_id": "44005547"}, {"ref": "sauravsabu/sailing-through-data-predicting-titanic-survival", "kernel_id": "44947779"}, {"ref": "eslamfouad/mathematical-statistics-course1", "kernel_id": "44049001"}, {"ref": "eslamfouad/scaling-titanic-ages-and-fares", "kernel_id": "44043266"}, {"ref": "eslamfouad/titanic-eda-your-first-assignment", "kernel_id": "44706848"}, {"ref": "eslamfouad/titanic-machine-learning-statistics-revisited", "kernel_id": "44560798"}, {"ref": "ramanathimanjunath/titanic-problem", "kernel_id": "44184723"}, {"ref": "gvs007/cse572-hw2-titanic", "kernel_id": "44394558"}, {"ref": "abhiramsreekantham/data-mining-hw2-q1", "kernel_id": "44625567"}, {"ref": "folkertritsma/notebookforamsterdamcourse", "kernel_id": "44636141"}, {"ref": "thirukumaranvt/titanic", "kernel_id": "44264556"}, {"ref": "xxxxxxxyyyyyyyyy/classification-morson-sebastiano", "kernel_id": "44772248"}, {"ref": "liorbarak1/lior-titanic", "kernel_id": "44785751"}, {"ref": "bhavikjikadara/titanic-dataset-84-16-accuracy-score", "kernel_id": "44025189"}, {"ref": "harshvardhanb25/titanic-score-77-033-percent", "kernel_id": "44786022"}, {"ref": "mohammadasadullah/titanic-machine-learning-from-disaster", "kernel_id": "44685000"}, {"ref": "ericihli/titanic-nn-from-scratch", "kernel_id": "44981851"}, {"ref": "tharakinfinity/pipelines-in-titanic", "kernel_id": "44186315"}, {"ref": "vmahawar/titanic-survival-prediction", "kernel_id": "44228927"}, {"ref": "takaris/titanic-ml-survivial-predicting", "kernel_id": "44305865"}, {"ref": "raohamzatariq/titanic-ml-project", "kernel_id": "44632208"}, {"ref": "aalexanderpanov/titanic-competition", "kernel_id": "44430226"}, {"ref": "zoexss/titanic-model", "kernel_id": "44733323"}, {"ref": "omarsafwat21/titanic-classification", "kernel_id": "44361436"}, {"ref": "aishwaryagupta25/titanic-1", "kernel_id": "44004730"}, {"ref": "pachecopacheco4/survival-titanic", "kernel_id": "44861880"}, {"ref": "joachimandre/titanic", "kernel_id": "44708382"}, {"ref": "esrasndl/titanik-eda-ml-models-analysis", "kernel_id": "44726398"}, {"ref": "rewa77/titanic-using-multiple-algorithms", "kernel_id": "44596315"}, {"ref": "mraliosman/tittanic-survival-prediction", "kernel_id": "44844633"}, {"ref": "monkeflip/4-models-ensamble-optuna-tuning", "kernel_id": "44086057"}, {"ref": "donyakhaledyan/starter-guide-to-build-nlp-ml-model-in-pycaret", "kernel_id": "44654219"}, {"ref": "mohamedia/titanic-supervised-learning-classification", "kernel_id": "44406836"}, {"ref": "josemoran/20231018-ai03-training-validation-and-prediction", "kernel_id": "44981063"}, {"ref": "aluugezir/titest", "kernel_id": "44597511"}, {"ref": "frederikemilclausen/daniel-and-frederik", "kernel_id": "44039842"}, {"ref": "vernonyeo/vernon", "kernel_id": "44307607"}, {"ref": "abhi5921/titanic-notebook", "kernel_id": "44810855"}, {"ref": "chuongthi/decision-forests-model", "kernel_id": "44546038"}, {"ref": "amiinebc/titanic-dataset-exploration", "kernel_id": "44060763"}, {"ref": "dmitriilebedev/titanic-dm-lebe", "kernel_id": "44650615"}, {"ref": "evansajumathew/titanic-survival-analysis-prediction-ml-model", "kernel_id": "44233553"}, {"ref": "marielouisebusk/notebooke29e1e5508", "kernel_id": "44039532"}, {"ref": "gregersjger/gregers-titanicml-portfolio-1", "kernel_id": "44039860"}, {"ref": "theiswiberg/group-tmc", "kernel_id": "44189682"}, {"ref": "xpelson/titanic-data-analysis", "kernel_id": "44130082"}, {"ref": "diegogaldino/titanic-tutorial", "kernel_id": "44610067"}, {"ref": "nihxlt/exercise-arithmetic-and-variables", "kernel_id": "44927816"}, {"ref": "jainabhi33/titanic-ml-model", "kernel_id": "44646384"}, {"ref": "yossefessam1269/titanic-preprocessing", "kernel_id": "44889022"}, {"ref": "chrysotil/titani-machine-learning-predict", "kernel_id": "44806860"}, {"ref": "itsmearyan/eda-on-titanic-dataset", "kernel_id": "44313346"}, {"ref": "tomas245/titanic", "kernel_id": "44956663"}, {"ref": "rizkia14/visualisasi-data-ggplot2-cheatsheet", "kernel_id": "44580376"}, {"ref": "rizkia14/diskretisasi-unsupervised-dan-supervised", "kernel_id": "44582484"}, {"ref": "mahmoudhussienmo/77-99-accuracy-randomforestclassifier", "kernel_id": "44086933"}, {"ref": "mrinalkangsabanik/notebooke07c200809", "kernel_id": "44510917"}, {"ref": "hariharanalm/titanic-with-random-forest", "kernel_id": "44416733"}, {"ref": "ismailbuzdan/getting-started-with-titanic", "kernel_id": "44916774"}, {"ref": "ljr0412/titanic-tutorial-1", "kernel_id": "44013290"}, {"ref": "mohamedfayez0/titanic-start-your-machine-learning-journey", "kernel_id": "44535573"}, {"ref": "dranel2669/titanic-survival-prediction-grid-search-approach", "kernel_id": "44967550"}, {"ref": "utkmal/ann-in-numpy-on-titanic-dataset-0-765", "kernel_id": "44000217"}, {"ref": "ritzxk20/titanic-prediction", "kernel_id": "44057474"}, {"ref": "adiaholic/homework-2", "kernel_id": "44630615"}, {"ref": "steevedaniel/basic-random-forest-model", "kernel_id": "44799587"}, {"ref": "yunsuxiaozi/learn-to-use-the-optuna", "kernel_id": "44482857"}, {"ref": "yunsuxiaozi/learning-eda", "kernel_id": "44957957"}, {"ref": "ayamullahkhan/titanic-pred", "kernel_id": "44193076"}, {"ref": "salmaessaam/titanic-get-started", "kernel_id": "44162731"}, {"ref": "hilariusjeremy/introductory-eda-on-titanic-dataset", "kernel_id": "44716279"}, {"ref": "ziwook/notebook-get-used-to-analysis", "kernel_id": "44889410"}, {"ref": "ziwook/simplify-your-kaggle-process", "kernel_id": "44901213"}, {"ref": "henryaugustus/titanic-predictions-randomforest", "kernel_id": "44333662"}, {"ref": "ouldouzpakpour/logistic-regression-titanic", "kernel_id": "44779847"}, {"ref": "itsnobita/survival-prediction-using-ml", "kernel_id": "44173356"}, {"ref": "lathashreeharisha/titanic-competition", "kernel_id": "44576045"}, {"ref": "prernanchan/notebook6e8372823e", "kernel_id": "44134214"}, {"ref": "rashidkhanrk06/notebook53f5cebf93", "kernel_id": "44087860"}, {"ref": "kartheekanusuri/titanic-survival-prediction-using-k-nn", "kernel_id": "44385883"}, {"ref": "tlisted/tabnet-try", "kernel_id": "44075278"}, {"ref": "heydido/eda-fe-modeltraining-titanic-ml-from-disaster", "kernel_id": "44535124"}, {"ref": "brajeshkumr/getting-started-with-titanic", "kernel_id": "44274505"}, {"ref": "walsassi/titanicprediction", "kernel_id": "44179357"}, {"ref": "vishnumuralikrishnan/titanic-competition-notebook", "kernel_id": "44173599"}, {"ref": "hamadismail/titanic", "kernel_id": "44068493"}, {"ref": "nikitapolovnikov/titanic", "kernel_id": "44339862"}, {"ref": "michajaros/notebookc87a0761d1", "kernel_id": "44244026"}, {"ref": "michajaros/titanic-xgboost", "kernel_id": "44177063"}, {"ref": "mergerin/titanic-machine-learning-from-disaster", "kernel_id": "44824925"}, {"ref": "vishsin01/random-forest-algo-with-hypertuning", "kernel_id": "44927165"}, {"ref": "sunkavallikowshik/trails-as-per-1st-competetion-submission", "kernel_id": "44129515"}, {"ref": "jiteshkumarsahoo/titanic-competition-using-sklearn", "kernel_id": "44196189"}, {"ref": "ayeshanausheen/titanic-notebook", "kernel_id": "44465498"}, {"ref": "vansh127/titanic-model", "kernel_id": "44350264"}, {"ref": "bellkelvin/basic-randomforest", "kernel_id": "44951731"}, {"ref": "waltuu/titanic-fast-ai-first-competition", "kernel_id": "44607930"}, {"ref": "ahmadsayedabdelwahab/titanic-survivor-prediction", "kernel_id": "44817266"}, {"ref": "anshikakashyap12/titanic-machine-learning-from-disaster", "kernel_id": "44644961"}, {"ref": "willdziuk/portfolio-1b", "kernel_id": "44041570"}, {"ref": "morsedemon/hackules-play-book-2", "kernel_id": "44816189"}, {"ref": "robertoperezjimenenz/titanic-machine-learning-from-disaster", "kernel_id": "44614742"}, {"ref": "yantaoxi/eda-titanic-survivals-logisticregression", "kernel_id": "44275515"}, {"ref": "rabianaz22/titanic-survival-prediction", "kernel_id": "44532789"}, {"ref": "anamibnjafar0/titanic-survival-prediction", "kernel_id": "44053474"}, {"ref": "adiityakulkarni/titanic-1", "kernel_id": "44642128"}, {"ref": "seeknda/decisiontreeclassifier-85-score", "kernel_id": "44906891"}, {"ref": "abdomostafasalem/titanic-competition", "kernel_id": "44709874"}, {"ref": "shivam6862/titanic-disaster-score-0-80382", "kernel_id": "44156885"}, {"ref": "neerajbarupal/titanic-ml", "kernel_id": "44689641"}, {"ref": "jingchenhao1/titantic", "kernel_id": "44135390"}, {"ref": "kornsurapat/titanic-competition", "kernel_id": "44853921"}, {"ref": "yellaboinamahikumar/titanic-basic-model", "kernel_id": "44301943"}, {"ref": "bbjadeja/titanic-randomforest-88", "kernel_id": "44115627"}, {"ref": "moaazhammad/titanic-survival-prediction", "kernel_id": "44566975"}, {"ref": "onurkorkmaz0/titanic", "kernel_id": "44993656"}, {"ref": "khansahil128/titan-a-detailed-analysis", "kernel_id": "44980842"}, {"ref": "siyangwu1234/xgb-lr-gdbt-rf-ensemble", "kernel_id": "44835336"}, {"ref": "joaorrobalo/titanic-reloaded", "kernel_id": "44957823"}, {"ref": "gulnihall/titanic", "kernel_id": "44525948"}, {"ref": "shivji7158/getting-started-with-titanic", "kernel_id": "44760762"}, {"ref": "jayronandrade/titanic", "kernel_id": "44110797"}, {"ref": "dharshinig21csr038/titanic-logistic-regression", "kernel_id": "44824337"}, {"ref": "piratemeow/with-knn", "kernel_id": "44781646"}, {"ref": "bommisrilekkhaa/titanic", "kernel_id": "44826523"}, {"ref": "johnkoutsoukis/titanic-survival-ratio-calculation-using-ml", "kernel_id": "44124032"}, {"ref": "zeeshankhan0503/notebook9f1bd842a3", "kernel_id": "44958452"}, {"ref": "shreyanshrajput/titanic", "kernel_id": "44602312"}, {"ref": "thitinanc/getting-started-with-titanic", "kernel_id": "44866039"}, {"ref": "thitinanc/exercise-arithmetic-and-variables", "kernel_id": "44862175"}, {"ref": "rudranetra/notebook31c8ff1ede", "kernel_id": "44052551"}, {"ref": "ayushkhaire/my-titanic-comp-sub-as-a-begainer", "kernel_id": "44392586"}, {"ref": "ashishspatel/titanic-competetion", "kernel_id": "44159596"}, {"ref": "heman2004/titanic-survival-prediction-using-machine-learning", "kernel_id": "44221000"}, {"ref": "rayatorr/titanic", "kernel_id": "44794799"}, {"ref": "charansraju/hw2-dm", "kernel_id": "44067178"}, {"ref": "rsure21/hw2-task-1", "kernel_id": "44602796"}, {"ref": "immortalcyborg/notebook6a0cabc1c9", "kernel_id": "44672798"}, {"ref": "ahmedmostafaelsayed/titanic-data-analysis-classification", "kernel_id": "44039154"}, {"ref": "gureev1371/notebook47471cdd5a", "kernel_id": "44179925"}, {"ref": "buluttok/notebook35a1f6a644", "kernel_id": "44424477"}, {"ref": "kevinsyoung/titanic-ml", "kernel_id": "44010634"}, {"ref": "mahadassrianshu/my1stmlproject-titanic-survival", "kernel_id": "44954069"}, {"ref": "darshvaidya26/data-mining-hw-2", "kernel_id": "44631299"}, {"ref": "preksha11/notebook9f63f340cc", "kernel_id": "44551052"}, {"ref": "emmalshaw/titanic-starter-emma", "kernel_id": "44007468"}, {"ref": "paulcolombo/paulcolombo", "kernel_id": "44979663"}, {"ref": "rm16754/titanic", "kernel_id": "44415262"}, {"ref": "potsawatvadvit/test1", "kernel_id": "44084599"}, {"ref": "ukulsum/titanic", "kernel_id": "44465948"}, {"ref": "tarumwidyastipertiwi/prak3dapros", "kernel_id": "44027244"}, {"ref": "aisyahfadhlia/prakpd2-3-aisyahnf", "kernel_id": "44020330"}, {"ref": "salisuwy/foai-lab3", "kernel_id": "44755352"}, {"ref": "vladislavpapenkin/titanic", "kernel_id": "44821337"}, {"ref": "ravibahukhandi/titanic-predictions", "kernel_id": "44493367"}, {"ref": "robertlermusiaux/robert-titanic-submission", "kernel_id": "44980031"}, {"ref": "haphilna/j-ntbooks-03", "kernel_id": "44761911"}, {"ref": "kharismamaulida/prakpd3-kharismams-064002200024", "kernel_id": "44225911"}, {"ref": "mdimrannazirkaggle/titanic-decision-tree-on-preprocessed-data-69", "kernel_id": "44671888"}, {"ref": "amalhassan/titanic-competition", "kernel_id": "44430851"}, {"ref": "ivdrago/eda-xgb-titanic-pt-br", "kernel_id": "44902334"}, {"ref": "mariyamalshatta/titanic-eda-feature-engineering-modeling", "kernel_id": "44070045"}, {"ref": "atmragib/hackules-play-book-2", "kernel_id": "44627153"}, {"ref": "atmragib/hackules-play-book-data-visualisation", "kernel_id": "44917682"}, {"ref": "nadanassif23/tatanic", "kernel_id": "44245635"}, {"ref": "peterkiarie/titanic-tutorial", "kernel_id": "44329160"}, {"ref": "hongphuongdo/kaggle-titanic", "kernel_id": "44164230"}, {"ref": "tomatointhedark/ivanov-9305-lab2", "kernel_id": "44717700"}, {"ref": "kommynest28/titanic", "kernel_id": "44917340"}, {"ref": "mathiaskamp/karoline-mathias-sarah-titanic", "kernel_id": "44043042"}, {"ref": "oliverev/titanictesttrouble", "kernel_id": "44041869"}, {"ref": "mtm4878/notebook4b443e9f19", "kernel_id": "44056352"}, {"ref": "santoshbikkina/titanic-check-misclassification-patterns-catboost", "kernel_id": "44055388"}, {"ref": "alexanderkhotho/final", "kernel_id": "44044926"}, {"ref": "natalyapushinskaya/titanic-data-science-solutions", "kernel_id": "44025406"}, {"ref": "irahkihdadiwas/titanic-dataset-first-trial-feature-engineering", "kernel_id": "44123765"}, {"ref": "esthergarp/mads-esther-tobias-assignment1", "kernel_id": "44044457"}, {"ref": "thomaslundmarkappel/kieran-thomas-kaggle", "kernel_id": "44038230"}, {"ref": "mathiasovergaard/notebook56fd39b4d1", "kernel_id": "44043350"}, {"ref": "martinhaurissachs/group-tmc", "kernel_id": "44040145"}, {"ref": "sofusklindtunmack/randomforestnotebook", "kernel_id": "44127004"}, {"ref": "rasmusmnielsen/titanic", "kernel_id": "44061080"}, {"ref": "mohamedmahmoud2003/titanc-sumb", "kernel_id": "44080017"}, {"ref": "tubakun/my-first-step", "kernel_id": "44072329"}, {"ref": "damanistopmee/titanic-ml", "kernel_id": "44229308"}, {"ref": "jleejoonmin/notebook39805d899f", "kernel_id": "44912784"}, {"ref": "prasertchaic/my-titanic-competition", "kernel_id": "44293406"}, {"ref": "jinsoolve/my-titanic-notebook-tmp", "kernel_id": "44263903"}, {"ref": "shashankgowdanh/exercise-arithmetic-and-variables", "kernel_id": "44330123"}, {"ref": "xitongl/cap5610-hw3-xitongli-5527596", "kernel_id": "44354194"}, {"ref": "victoriabasnina/work1", "kernel_id": "44602979"}, {"ref": "hosomigenki/kaggle-titanic", "kernel_id": "44482706"}, {"ref": "jeward/getting-started-with-titanic", "kernel_id": "44722150"}, {"ref": "ooz6un/sketchy-rf", "kernel_id": "44574131"}, {"ref": "kaggler117/titanic-competition-using-sklearn", "kernel_id": "44552482"}, {"ref": "imnotziruchang/notebook57c9fe5b3e", "kernel_id": "44590168"}, {"ref": "dmitriymikhaylov/titanic-mikhaylov", "kernel_id": "44604465"}, {"ref": "elinadyadkina/1371-dyadkina-elina-titanic", "kernel_id": "44648295"}, {"ref": "muzammilashfaq/exercise-arithmetic-and-variables", "kernel_id": "44620097"}, {"ref": "sambalakhanei/notebook5a0fc40e5e", "kernel_id": "44983037"}, {"ref": "baebaerene/notebooka5061c1c0b", "kernel_id": "44864193"}, {"ref": "sergemalo/sm-titanic", "kernel_id": "44777035"}, {"ref": "lucasfbravim/notebook623d6fac1e", "kernel_id": "44675939"}, {"ref": "cruiserai/titanic-competition", "kernel_id": "44727994"}, {"ref": "slawekch/titanic", "kernel_id": "44804396"}, {"ref": "raniaa16/dataexploration", "kernel_id": "44720341"}, {"ref": "brentonclin/notebook93031af342", "kernel_id": "44731856"}, {"ref": "askdna/titanic-rf", "kernel_id": "44820185"}, {"ref": "monismomin2002/titanic-model-1st-book-on-kaggle", "kernel_id": "44761445"}, {"ref": "dariamerezhepova/notebookfc5f98e6e7", "kernel_id": "44762888"}, {"ref": "adililfatovich/notebookd06eb2d68a", "kernel_id": "44762552"}, {"ref": "zhuravlevavaleriya/notebook192880a096", "kernel_id": "44762704"}, {"ref": "soheilmohammadpour/titanic-machine-learning-from-disaster", "kernel_id": "44780374"}, {"ref": "euginiaoya/oya-titanic", "kernel_id": "44834318"}, {"ref": "ssgayathri/titanic-nn", "kernel_id": "44829883"}, {"ref": "ssgayathri/titanic-svm-lr-nb", "kernel_id": "44834257"}, {"ref": "sujanamollick/201002250", "kernel_id": "44853386"}, {"ref": "amcnews/first-come-first-serve", "kernel_id": "44856270"}, {"ref": "lnzbati/titanic-ml-exploration", "kernel_id": "44895326"}, {"ref": "jakenty1/competitions-titanic", "kernel_id": "45013151"}, {"ref": "xiefei/01flaml-titanic", "kernel_id": "45019061"}, {"ref": "ravibilla/getting-started-with-titanic", "kernel_id": "45185819"}, {"ref": "davidleal/titanic-sex-pclass-title-ticket-model-0-796", "kernel_id": "45667852"}, {"ref": "meyti1029/titanic-mehdi-alipour", "kernel_id": "45222523"}, {"ref": "ianchute/a-minute-w-jack-n-rose", "kernel_id": "45284812"}, {"ref": "slmatrix/numpy-matplotlib", "kernel_id": "45192998"}, {"ref": "slmatrix/pandas-2-2-data-transformation", "kernel_id": "45218596"}, {"ref": "prasad22/30-days-of-eda-week-v", "kernel_id": "45289966"}, {"ref": "leodaniel/unit-test-don-t-let-your-code-hit-the-iceberg", "kernel_id": "45412560"}, {"ref": "picrik/qml-on-titanic-data", "kernel_id": "45655883"}, {"ref": "amruta0226/central-limit-theorem", "kernel_id": "45392779"}, {"ref": "bibekjitsingh/titanic-passenger-survival", "kernel_id": "45371288"}, {"ref": "leschmiedeler/ls-titanic-v01-lr-dt-rf", "kernel_id": "45268230"}, {"ref": "leschmiedeler/ls-titanic-submission-v01", "kernel_id": "45268247"}, {"ref": "leschmiedeler/ls-titanic-v02-gb-sv", "kernel_id": "45313701"}, {"ref": "leschmiedeler/ls-titanic-submission-v02", "kernel_id": "45314661"}, {"ref": "raotariq/titanic-machine-learning-from-disaster", "kernel_id": "45172992"}, {"ref": "campbam/getting-started-titanic", "kernel_id": "45493984"}, {"ref": "buzziatharva/basic-ml-models-on-titanic", "kernel_id": "45516910"}, {"ref": "skrymr/titanic-survival-mldl-exercise-2", "kernel_id": "45986044"}, {"ref": "coconocokun/cs-advanced-lesson4", "kernel_id": "45207386"}, {"ref": "dipeshtate24/notebook52dcb055b7", "kernel_id": "45345718"}, {"ref": "tarunreddy007/titanic-survival-predictions", "kernel_id": "45758023"}, {"ref": "kavithachetanadidugu/automated-hyperparameter-tuning-with-cv", "kernel_id": "45656264"}, {"ref": "ikbalnayem/titanic", "kernel_id": "45215143"}, {"ref": "yechchisifeddine/submission-sif-eddine-yechchi", "kernel_id": "45605060"}, {"ref": "saimsonu/titanic", "kernel_id": "45635262"}, {"ref": "apoorvapatil1801/ml-process-template", "kernel_id": "45228944"}, {"ref": "sarveshmeenowa/supervised-learning-project", "kernel_id": "45553198"}, {"ref": "stephentwu/how-to-compete-in-ai-coding-solved", "kernel_id": "45863357"}, {"ref": "isiborihianle/faml-lab7", "kernel_id": "45922874"}, {"ref": "isiborihianle/faml-lab6", "kernel_id": "45166121"}, {"ref": "priyanshuagwl/transformation-approach", "kernel_id": "45057654"}, {"ref": "yoshikaisyu/udemy-titanic-randomforest-new", "kernel_id": "45214458"}, {"ref": "ericdalva/dae-for-titanic-with-visualization", "kernel_id": "45949115"}, {"ref": "sergionaito/notebook4f17945ed3", "kernel_id": "45405513"}, {"ref": "thomasmeiner/become-a-cross-validation-master", "kernel_id": "45725901"}, {"ref": "aakash143rathee/exercise-2-classification", "kernel_id": "45173118"}, {"ref": "dgcamblor/titanic-survival-analysis", "kernel_id": "45417726"}, {"ref": "mawro73/titanic-good-accuracy-top30", "kernel_id": "45741608"}, {"ref": "dhruvdmahajan/titanic-logistic", "kernel_id": "45659221"}, {"ref": "pundirravi/titanic", "kernel_id": "45848072"}, {"ref": "pramodiasuka/titanicprediction-lgbm", "kernel_id": "45880984"}, {"ref": "maciejsabalski/titanic-eda-feature-engeneering-and-ml", "kernel_id": "45542219"}, {"ref": "karthiksubbu/notebook4b93a5951b", "kernel_id": "45586052"}, {"ref": "nonameforyougoodsir/titanic-logistic-regression", "kernel_id": "45794140"}, {"ref": "wonsukj/eda-to-prediction-dietanic", "kernel_id": "45927871"}, {"ref": "wonsukj/exploratory-data-analysis-visualization-ml", "kernel_id": "45193739"}, {"ref": "mdismielhossenabir/titanic-ml-disaster", "kernel_id": "45977549"}, {"ref": "nithiyashree13/titanicsurvivoranalysis", "kernel_id": "45993182"}, {"ref": "shradhdhabhalodia/my-first-prediction-using-titatic", "kernel_id": "45767657"}, {"ref": "bhagyashreeghosh/finding-titanic-survivors-through-ml", "kernel_id": "45474375"}, {"ref": "marcpaulo/learn-eda-catboost", "kernel_id": "45291061"}, {"ref": "lucasfernandowitzel/witzel-lucas-travail-ia-ias", "kernel_id": "45767328"}, {"ref": "romariogomesbr/ia2a-aplicando-o-crisp-dm-no-titanic", "kernel_id": "45170107"}, {"ref": "charen/notebooke618c4afc6", "kernel_id": "45545014"}, {"ref": "ckamalos/tita-nic-ensembling-ml", "kernel_id": "45052790"}, {"ref": "traoreabdoulkarym/concours-titanic", "kernel_id": "45887614"}, {"ref": "saifulislamtarek/titanic-ml", "kernel_id": "45420389"}, {"ref": "pachecopacheco4/survival-titanic-2-0", "kernel_id": "45172538"}, {"ref": "pachecopacheco4/deep-learning-titanic", "kernel_id": "45073499"}, {"ref": "taniharuto/titanic", "kernel_id": "45855340"}, {"ref": "seanmp/tjair-beginner-notebook", "kernel_id": "45188870"}, {"ref": "hichembetiche/titanic-challenge-deep-learning-svm", "kernel_id": "45554023"}, {"ref": "arminsabour/titanic-machine-learning-from-disaster", "kernel_id": "45370923"}, {"ref": "ltkien/titanic-final", "kernel_id": "45166928"}, {"ref": "mtrshirazi/titanic-prediction-for-77751-score", "kernel_id": "45273709"}, {"ref": "mskhmelik/titanic-survival-prediction-accuracy-0-77", "kernel_id": "45949191"}, {"ref": "kevin1hsu/titanic-rf-xgb", "kernel_id": "45238883"}, {"ref": "rarespetrumihalache/titanic-dataset-random-forest", "kernel_id": "45002404"}, {"ref": "rarespetrumihalache/titanic-dataset-logistic-regression", "kernel_id": "45062324"}, {"ref": "rarespetrumihalache/titanic-dataset-standardscaler", "kernel_id": "45065143"}, {"ref": "rarespetrumihalache/titanic-dataset-xgboost", "kernel_id": "45063286"}, {"ref": "rarespetrumihalache/titanic-dataset-lightgbm", "kernel_id": "45064302"}, {"ref": "gohargevorgyan/exercise-arithmetic-and-variables", "kernel_id": "45274250"}, {"ref": "treycastle/trey-castle-titanic", "kernel_id": "45281304"}, {"ref": "harshagrawal12/titanic", "kernel_id": "45152260"}, {"ref": "chriscarrollsmith/titanic", "kernel_id": "45073227"}, {"ref": "ihssaneaitidir/projet-titatnic", "kernel_id": "45679113"}, {"ref": "erkaninteligences/titanic-competition-survival-ganeral-data-analysi", "kernel_id": "45030390"}, {"ref": "matthewratterree/mr-titanic-v01", "kernel_id": "45330038"}, {"ref": "matthewratterree/mr-titanic-submission", "kernel_id": "45330117"}, {"ref": "preranapagar3/titanic-eda", "kernel_id": "45521159"}, {"ref": "samarmandke/notebook18f7e1cc3c", "kernel_id": "45788606"}, {"ref": "krishnakishorepenta/top-1-titanic-solution", "kernel_id": "45208666"}, {"ref": "kr13vin/fork-of-titanic-dataset", "kernel_id": "45649879"}, {"ref": "nguynhnghik17hl/titanic-machine-learning-from-disaster-he17192", "kernel_id": "45545146"}, {"ref": "pedrojavierarnedo/getting-started-with-titanic", "kernel_id": "45936637"}, {"ref": "rajsahu2004/pre-processing", "kernel_id": "45412718"}, {"ref": "denisemtatih/titanic-on-going-competition", "kernel_id": "45019236"}, {"ref": "komangryandhi/final-titanic-data-submission-komang", "kernel_id": "45336354"}, {"ref": "yogesh2006/titanic-survival-prediction", "kernel_id": "45848364"}, {"ref": "peacechiejine/getting-started-with-titanic", "kernel_id": "45011718"}, {"ref": "fastaistudent/neuralnet-from-scratch-from-fastai-adding-descri", "kernel_id": "45952271"}, {"ref": "dograrajesh/titanic-data-analysis-using-visualization", "kernel_id": "45887048"}, {"ref": "geoffreyarumba/ga-titanic-v01", "kernel_id": "45278057"}, {"ref": "ishaqkhattak/ask-these-question-to-understand-data", "kernel_id": "45647022"}, {"ref": "akash190104/titanic", "kernel_id": "45680411"}, {"ref": "abraamsaid/titanic-eda-predictions", "kernel_id": "45494393"}, {"ref": "zlymbymf/titanic-xgboost", "kernel_id": "45485725"}, {"ref": "tuanhdangdinh/project-tree", "kernel_id": "45047596"}, {"ref": "rbfromai/titanic-using-pipelines", "kernel_id": "45634628"}, {"ref": "danielzhang01/name-processing", "kernel_id": "45221287"}, {"ref": "lucasdiasnoronha/titanic-aprendizadodem-quinacomdesastre", "kernel_id": "45606917"}, {"ref": "haseebwar07/titanic-disaster", "kernel_id": "45607337"}, {"ref": "maimounasy/titanic-maimouna", "kernel_id": "45578398"}, {"ref": "pentakrishnakishore/titanic-disaster-kk", "kernel_id": "45204870"}, {"ref": "noyeemhossain135/titanic-survivors-dataset", "kernel_id": "45387521"}, {"ref": "afsananadia/titanic-machine-learning-from-disaster", "kernel_id": "45571468"}, {"ref": "metlnfoor/data-transformation", "kernel_id": "45342657"}, {"ref": "azrazahin/data-uci-titanic-workshop-guide", "kernel_id": "45700774"}, {"ref": "ajit1360/titanic-data-survival-prediction", "kernel_id": "45717657"}, {"ref": "anissbo/predicting-titanic-survivors-with-randomforest", "kernel_id": "45177622"}, {"ref": "akankshajadhav24/titanic-data", "kernel_id": "45465200"}, {"ref": "atifmagsi/eda-to-prediction-dietanic", "kernel_id": "45160045"}, {"ref": "atifmagsi/titanic-eda-and-ensemble", "kernel_id": "45132782"}, {"ref": "atifmagsi/titanic-data-science-solutions", "kernel_id": "45116122"}, {"ref": "altafsanim/titanic-survival-prediction", "kernel_id": "45720400"}, {"ref": "manhtuan2989/titanic-rf-gb-and-xgb-machine-learning", "kernel_id": "45440474"}, {"ref": "arzumertrk/titanic-ml", "kernel_id": "45077205"}, {"ref": "taibat/titanic-analysis", "kernel_id": "45988804"}, {"ref": "konstantinvetrov/titanic", "kernel_id": "45742318"}, {"ref": "przem8k/titanic-gradient-descent-by-hand", "kernel_id": "45684976"}, {"ref": "meriemfalih/ml-classification-model-pyspark", "kernel_id": "45405624"}, {"ref": "ashakadiyala/kvaj-titanic-v01", "kernel_id": "45328706"}, {"ref": "newzhong/titanic-competition", "kernel_id": "45792843"}, {"ref": "ashirzaki/titanic-eda-predication", "kernel_id": "45626846"}, {"ref": "morsedemon/hackules-play-book-data-visualisation", "kernel_id": "45007213"}, {"ref": "prxima/titanic-comp-v01", "kernel_id": "45401886"}, {"ref": "prxima/titanic-nn-v10", "kernel_id": "45717007"}, {"ref": "prxima/titanic-dtr-v01", "kernel_id": "45898902"}, {"ref": "elizabethyatskevich/titanic", "kernel_id": "45864064"}, {"ref": "imethgunawardena/outlier-the-silent-killer", "kernel_id": "45165029"}, {"ref": "nss004/titanic-dataset", "kernel_id": "45070639"}, {"ref": "streamsong/titanic-logisticregression", "kernel_id": "45241745"}, {"ref": "alferga/naive-bayes-probabilistic-ml-titanic-survival", "kernel_id": "45685618"}, {"ref": "mattcalhoun1/mcc-titanic-v01", "kernel_id": "45058855"}, {"ref": "mattcalhoun1/mcc-titanic-submission", "kernel_id": "45058917"}, {"ref": "sarabronson/sb-titanic-v04", "kernel_id": "45324099"}, {"ref": "laught3/titantic-survival-prediction", "kernel_id": "45209682"}, {"ref": "shayjohnson/sj-titanic", "kernel_id": "45325575"}, {"ref": "yldzburhan/inferential-statistics-hypothesis-testing", "kernel_id": "45982074"}, {"ref": "yldzburhan/feature-engineering-hacks-for-better-models", "kernel_id": "45681469"}, {"ref": "jaspreetkaur27/notebookc1b9700181", "kernel_id": "45788799"}, {"ref": "shakibabsar42/absar-hackules-play-book-data-visualisation", "kernel_id": "45012139"}, {"ref": "achellesheel/getting-started-with-titanic-chatur-notebook", "kernel_id": "45448232"}, {"ref": "achellesheel/titanic-pytorch-chatur", "kernel_id": "45841925"}, {"ref": "huseyinbaytar/essential-numpy-and-pandas-guide", "kernel_id": "45682176"}, {"ref": "huseyinbaytar/a-b-test-tutorials", "kernel_id": "45876975"}, {"ref": "shivam6862/titanic-survival-analysis-score-0-80622", "kernel_id": "45102212"}, {"ref": "anthonymoore5/agm-titanic-v01", "kernel_id": "45314940"}, {"ref": "anthonymoore5/am-titanic-submission", "kernel_id": "45324709"}, {"ref": "yaroslavdavydchuk/titanic", "kernel_id": "45219178"}, {"ref": "prasadransing/titanic-problem", "kernel_id": "45147714"}, {"ref": "robertlowens/notebook8d06f319ad", "kernel_id": "45136724"}, {"ref": "davidemad01/comp-02-titanic-clf", "kernel_id": "45690960"}, {"ref": "smithpeterson/xgbclassifier", "kernel_id": "45485493"}, {"ref": "deryaumutkulal/titanic-project", "kernel_id": "45680128"}, {"ref": "tnuoccawen/titanic-dataset-and-survival-prediction", "kernel_id": "45045888"}, {"ref": "hitishsingla/titanic-disaster-pytorch-deep-learning", "kernel_id": "45118435"}, {"ref": "kbdharun/titanic-competition", "kernel_id": "45931468"}, {"ref": "lelama/notebook0d47f950cf", "kernel_id": "45158206"}, {"ref": "declanmckenna/numpy-titanic", "kernel_id": "45215223"}, {"ref": "thomashung1027hk/randomforestclassifier", "kernel_id": "45485138"}, {"ref": "thomashung1027hk/xgbclassifier", "kernel_id": "45240551"}, {"ref": "chrischeung1201/random-forest", "kernel_id": "45289458"}, {"ref": "chrischeung1201/base-learner", "kernel_id": "45652161"}, {"ref": "theusman/titanic-survival-analyzing-passenger-fate", "kernel_id": "45620935"}, {"ref": "habbahen/titanic-with-ignat", "kernel_id": "45878572"}, {"ref": "shinchan04/titanic-shincyan", "kernel_id": "45212941"}, {"ref": "shinchan04/titanic-shinchanversion2", "kernel_id": "45457766"}, {"ref": "celestialsquid/data-uci-titanic-workshop-template", "kernel_id": "45329988"}, {"ref": "lukaszxx/titanic-first-project", "kernel_id": "45181262"}, {"ref": "satpekoverasyl/slab4", "kernel_id": "45027093"}, {"ref": "kaifkhanx/notebook9bdc94b7fd", "kernel_id": "45883049"}, {"ref": "michailvlastellis/notebook084e114170", "kernel_id": "45336197"}, {"ref": "chahinovic/titanic-baseline-with-pipeline", "kernel_id": "45674521"}, {"ref": "lisa0910/titanic", "kernel_id": "45326608"}, {"ref": "vincentcapra/tps-tea-vincent-capra", "kernel_id": "45731477"}, {"ref": "ishikagoyal946/titanic-survival-eda", "kernel_id": "45910218"}, {"ref": "salisuwy/foai-lab-4", "kernel_id": "45113954"}, {"ref": "alirezaemamifard/titanic", "kernel_id": "45465157"}, {"ref": "nicoalvpro/titanic-nicolas", "kernel_id": "45201055"}, {"ref": "riverdoyle/titanic", "kernel_id": "45019839"}, {"ref": "katrinaelisepallais/katrina-titanic-submission-2-partners-with-emma", "kernel_id": "45702598"}, {"ref": "gustianmajs/latihan-model-machine-learning-titanic", "kernel_id": "45013779"}, {"ref": "sarincasm/titanic", "kernel_id": "45696940"}, {"ref": "julieolson/titanic-ork", "kernel_id": "45226239"}, {"ref": "kazuma1127/titanic-ex06-ex", "kernel_id": "45139801"}, {"ref": "adityamishra7/getting-started-with-titanic", "kernel_id": "45181005"}, {"ref": "emannisar/titanic-survival-predictor", "kernel_id": "45975062"}, {"ref": "emresarikaya/royal-mail-ship", "kernel_id": "45437305"}, {"ref": "pablocorralgutirrez/titanic-classifier", "kernel_id": "45521554"}, {"ref": "pablocorralgutirrez/titanic-survival-classifier", "kernel_id": "45203929"}, {"ref": "thecuriousashim/titanic-competition-prediciton", "kernel_id": "45414977"}, {"ref": "jorgevegagamero/titanic-notebook", "kernel_id": "45162021"}, {"ref": "jacksondivakarr/titanic-survival-prediction", "kernel_id": "45804168"}, {"ref": "thaonguyen1412/eda-and-machine-learning-for-the-titanic", "kernel_id": "45090987"}, {"ref": "phatkao/titanic-disaster", "kernel_id": "45727479"}, {"ref": "alessandromajumba/logistic-regression-castelli", "kernel_id": "45767049"}, {"ref": "nourben7/notebookeca506a239", "kernel_id": "45606031"}, {"ref": "stevenfoulon/supervised-learning-project-steven-foulon", "kernel_id": "45658152"}, {"ref": "mashrapzere/bonus-labka", "kernel_id": "45815724"}, {"ref": "davidgrogan/titanic-dgrogan", "kernel_id": "45315652"}, {"ref": "davidgrogan/dgrogan-titanic-solo", "kernel_id": "45469053"}, {"ref": "quentinfuret/project-titanic-quentin-furet-final-version", "kernel_id": "45179171"}, {"ref": "cameliaaa/course-project-camelia-behlouli", "kernel_id": "45709963"}, {"ref": "huangjunchi/titanic-predict", "kernel_id": "45117133"}, {"ref": "gustavogiacomini/titanic-82", "kernel_id": "45040032"}, {"ref": "lorenzozanolin/logistic-regression", "kernel_id": "45360748"}, {"ref": "yashsharma1216/titanic-prediction-using-random-forest", "kernel_id": "45853704"}, {"ref": "artemikonnikov/notebook8979b2534f", "kernel_id": "45924354"}, {"ref": "demba09/titanic", "kernel_id": "45644723"}, {"ref": "ryangalitzdorfer/titanic-classification", "kernel_id": "45226102"}, {"ref": "vibrantish/exercise-arithmetic-and-variables", "kernel_id": "45548581"}, {"ref": "federicoscrobe/exercise-2-logistic-regression", "kernel_id": "45062168"}, {"ref": "baebaerene/fork-of-notebooka5061c1c0b-b1ba51", "kernel_id": "45113295"}, {"ref": "bkrithika99gmailcom/exercise-arithmetic-and-variables", "kernel_id": "45848398"}, {"ref": "filipkjellgren/titanic-exercise-testing-26-11", "kernel_id": "45016884"}, {"ref": "sergemalo/sm-naive-titanic", "kernel_id": "45226755"}, {"ref": "cianmpnolan/notebookf9b174a569", "kernel_id": "45056115"}, {"ref": "sapna2003/notebook877f231a79", "kernel_id": "45805303"}, {"ref": "raheba/2-submission", "kernel_id": "45346384"}, {"ref": "amirarakieva/submission-1", "kernel_id": "45346589"}, {"ref": "jynlee23/appendix1-titanic-top-4-with-ensemble-mo-0530b8", "kernel_id": "45186126"}, {"ref": "aditrichaudhari/titanic-data-analysis-and-pred", "kernel_id": "45277404"}, {"ref": "petergreen5339/notebook48803e136d", "kernel_id": "45013951"}, {"ref": "alex410023/notebook18272db590", "kernel_id": "45027524"}, {"ref": "makssssuper/1super37book1", "kernel_id": "45023550"}, {"ref": "bigadam/titanic", "kernel_id": "45701666"}, {"ref": "erdemcaliskan/titanic", "kernel_id": "45031213"}, {"ref": "erdemcaliskan/group15", "kernel_id": "45231931"}, {"ref": "sevithajanga/sevithanb1-titanic-1", "kernel_id": "45036669"}, {"ref": "pavangogineni1922/titanic-b8aaca", "kernel_id": "45278163"}, {"ref": "semidust/titanic", "kernel_id": "45097684"}, {"ref": "vidyaverma/notebook3302170c13", "kernel_id": "45110065"}, {"ref": "alokmangat/notebookde8c312217", "kernel_id": "45990384"}, {"ref": "alexandreclapeyron/course-project-a-clapeyron", "kernel_id": "45119603"}, {"ref": "ebliniere/pour-le-dm-de-supervised-learn", "kernel_id": "45469885"}, {"ref": "ebliniere/dm-erwan-bliniere-supervised-l", "kernel_id": "45550861"}, {"ref": "ruthwikgangavelli/titanic", "kernel_id": "45273266"}, {"ref": "amyann/notebook6bc85c1e6a", "kernel_id": "45657063"}, {"ref": "aigeo2016/titanic-tutorial", "kernel_id": "45141324"}, {"ref": "g2nahilhind/getting-started-with-titanic", "kernel_id": "45161148"}, {"ref": "unesbt/beginner-titanic-solve-w-knn-svc-models", "kernel_id": "45362998"}, {"ref": "programmarself/exercise-arithmetic-and-variables", "kernel_id": "45224384"}, {"ref": "garrettrivers31/gr-titanic-v01", "kernel_id": "45318490"}, {"ref": "mehrajmehmood/exercise-arithmetic-and-variables", "kernel_id": "45338610"}, {"ref": "g6sabthajar/notebook5931063f18", "kernel_id": "45348886"}, {"ref": "vangalapoojasri/titanic", "kernel_id": "45205367"}, {"ref": "vidrebol/logistic-regression-titanic", "kernel_id": "45205448"}, {"ref": "stevenlanmll/titanic-disaster", "kernel_id": "45264938"}, {"ref": "kenchugunduudaykumar/exercise-arithmetic-and-variables", "kernel_id": "45235444"}, {"ref": "tobeek/titanik", "kernel_id": "45291702"}, {"ref": "upamapokh/up-titanic-submission-v01", "kernel_id": "45323933"}, {"ref": "upamapokh/up-titanic-v01", "kernel_id": "45323887"}, {"ref": "albertalex12/submission-alex-martinez", "kernel_id": "45605062"}, {"ref": "fionaxi815/titanic-model", "kernel_id": "45602815"}, {"ref": "aqures/titanic", "kernel_id": "45376889"}, {"ref": "kskmkntshmrnd/titanictest", "kernel_id": "45720289"}, {"ref": "zaranavidi/kaggle-titanic", "kernel_id": "45459294"}, {"ref": "xinhuiwangahu/xinhui-getting-started-with-titanic", "kernel_id": "45645853"}, {"ref": "mlqfati/titanic-supervised-learning-project", "kernel_id": "45636330"}, {"ref": "alexiosshaba/notebook1", "kernel_id": "45520728"}, {"ref": "turmaganbetov/getting-started-with-titanic", "kernel_id": "45551889"}, {"ref": "jonathansebban11/notebook432897f33a", "kernel_id": "45587365"}, {"ref": "pedrodvila/titanic-challenge", "kernel_id": "45587687"}, {"ref": "johnterry91/exercise-arithmetic-and-variables", "kernel_id": "45648538"}, {"ref": "justcoddev/exercise-arithmetic-and-variables", "kernel_id": "45880858"}, {"ref": "mohammadbizhani/titanic-random-forest", "kernel_id": "45744966"}, {"ref": "rem4000/titanic-score-0-74641", "kernel_id": "45941531"}, {"ref": "tonyyunyang99/titanic-with-feature-crafting", "kernel_id": "45827533"}, {"ref": "camjacksonrit/cam-notebook", "kernel_id": "45839780"}, {"ref": "raghvandave/titanicprediction", "kernel_id": "45940415"}, {"ref": "mathurinache/hyperparameters-tuning-techniques", "kernel_id": "46292701"}, {"ref": "bnzn261029/evidently-observability-final-project", "kernel_id": "46615877"}, {"ref": "alaeddinselcukgurel/alaeddin-sel-uk-g-rel-notebook", "kernel_id": "46854386"}, {"ref": "troubaj/titanic-in-progress", "kernel_id": "46938774"}, {"ref": "yururoi/ensemble-binary", "kernel_id": "46302922"}, {"ref": "leodaniel/big-o-voyage-mastering-sorting-algorithms", "kernel_id": "46245118"}, {"ref": "tbrk16/titanic-disaster", "kernel_id": "46699744"}, {"ref": "blackjack808/learn-from-disaster", "kernel_id": "46364439"}, {"ref": "amruta0226/titanic-logistic-regression-with-python", "kernel_id": "46781269"}, {"ref": "vinitkp/cleanlab-data-centric-example", "kernel_id": "46603084"}, {"ref": "enginbozaba/project", "kernel_id": "46790830"}, {"ref": "sachinshekhar/titanic-competition", "kernel_id": "46164233"}, {"ref": "v23joshi/applying-machine-learning-algorithms", "kernel_id": "46009047"}, {"ref": "florianteich/titanic", "kernel_id": "46374588"}, {"ref": "stpeteishii/titanic-autogluon", "kernel_id": "46719990"}, {"ref": "stpeteishii/pgs-s3e25-automl", "kernel_id": "46742052"}, {"ref": "artem239/simple-eda-comparing-models-fia", "kernel_id": "46761592"}, {"ref": "artem239/simple-eda-comparing-models", "kernel_id": "46306773"}, {"ref": "ecmeldem/ari5001-hw1-ecmeldemet", "kernel_id": "46647613"}, {"ref": "paydex/titanic-eda", "kernel_id": "46411881"}, {"ref": "fionaaa2017/titanic-classification-feature-importance", "kernel_id": "46006740"}, {"ref": "mvoulo/titanic-classification", "kernel_id": "46381259"}, {"ref": "elsnkazm/datazone-titanic-eda1", "kernel_id": "46551284"}, {"ref": "a9andy195/andy-chiang", "kernel_id": "46937064"}, {"ref": "musashikawauchi/notebooke73b221611", "kernel_id": "46073416"}, {"ref": "volkanbakr/ari5001-hw-1", "kernel_id": "46560503"}, {"ref": "denilsonjovano/titanic", "kernel_id": "46258715"}, {"ref": "stephentwu/how-to-compete-in-ai-coding-taqnya-expo-2023", "kernel_id": "46143977"}, {"ref": "vinodthomas/eda-titanic", "kernel_id": "46172793"}, {"ref": "lien0212/titanic-prediction", "kernel_id": "46490227"}, {"ref": "soratop/notebookf79a4e8bc2", "kernel_id": "46222037"}, {"ref": "isiborihianle/faml-lab8", "kernel_id": "46252345"}, {"ref": "sarthaksablania/titanic-svm-model-radial-kernel", "kernel_id": "46848413"}, {"ref": "yoshikaisyu/titanic-tutorial", "kernel_id": "46970973"}, {"ref": "dashanikolayuk/dariya-titanic-predictions", "kernel_id": "46934047"}, {"ref": "thomasmeiner/titanic-0-80-hundreds-of-experiments", "kernel_id": "46563213"}, {"ref": "thomasmeiner/titanic-become-a-feature-selection-master", "kernel_id": "46391505"}, {"ref": "mawro73/easy-titanic-good-accuracy-top20", "kernel_id": "46125948"}, {"ref": "patrickc05/notebook7e3f87f65a", "kernel_id": "46817402"}, {"ref": "mazlumdavutelik/data-preprocessing-feature-engineering-on-titanic", "kernel_id": "46714660"}, {"ref": "goodmanno/titanic", "kernel_id": "46580820"}, {"ref": "jiya7316/filter-based-feature-selection", "kernel_id": "46776631"}, {"ref": "wonsukj/titanic-top-4-with-ensemble-modeling", "kernel_id": "46906291"}, {"ref": "balnarendrasapa/titanic-survival-classification", "kernel_id": "46253423"}, {"ref": "xslyrs/titanic-machine-learning-from-disaster", "kernel_id": "46213392"}, {"ref": "josephani/getting-started-with-titanic", "kernel_id": "46576736"}, {"ref": "markusdarkus/lightgbm-explanation-practice-with-dataset", "kernel_id": "46259182"}, {"ref": "echowuzangye/titanic", "kernel_id": "46262568"}, {"ref": "emericjim/genetic-algorithms-to-find-hyperparameters", "kernel_id": "46779402"}, {"ref": "erdincs/erd-ari5001", "kernel_id": "46791483"}, {"ref": "mrfirdauss20/problem-i-titanic", "kernel_id": "46011155"}, {"ref": "usunyu/titanic-advanced-feature-engineering-tutorial", "kernel_id": "46260156"}, {"ref": "usunyu/titanic-data-science-solutions", "kernel_id": "46058445"}, {"ref": "siddheshagarwal/titanic-challenge", "kernel_id": "46914633"}, {"ref": "fatmabenhlel/titanic", "kernel_id": "46449788"}, {"ref": "mikolajhojda/titanic-neural-networks", "kernel_id": "46617386"}, {"ref": "gouthamb002/titanic-rf", "kernel_id": "46059446"}, {"ref": "akandeboluwatife/titanic-from-scratch-using-linear-model", "kernel_id": "46096231"}, {"ref": "akandeboluwatife/why-you-should-use-a-framework", "kernel_id": "46254020"}, {"ref": "akandeboluwatife/how-random-forests-really-work", "kernel_id": "46256269"}, {"ref": "zwei004/titanic-notebook", "kernel_id": "46104055"}, {"ref": "firazztrk/classification-walkthrough-with-titanic", "kernel_id": "46985155"}, {"ref": "satkritisumedha/titanic-trial", "kernel_id": "46916630"}, {"ref": "uzairshafique/titanic-gridsearchcv-rfc", "kernel_id": "46405954"}, {"ref": "mahmoudsaadmohamed/titanic", "kernel_id": "46030944"}, {"ref": "riainoo/label-encoding-vs-one-hot-encoding-ryan-jacobs", "kernel_id": "46483343"}, {"ref": "irynadidinova/titanic-nrs-ds-final", "kernel_id": "46151565"}, {"ref": "alfredkondoro/k-competition-titanic-tutorial", "kernel_id": "46926803"}, {"ref": "dumanmesut/predicting-survivability-of-titanic-passengers", "kernel_id": "46505639"}, {"ref": "lainguyn123/titanic-prediction-interpretable-ml", "kernel_id": "46036813"}, {"ref": "abdullahnchy/decision-trees-to-the-rescue", "kernel_id": "46340748"}, {"ref": "ronitakhariya/titanic", "kernel_id": "46484527"}, {"ref": "vicmangiltafolla/analysis-and-restoration-of-the-cabin-column", "kernel_id": "46215778"}, {"ref": "avtnshm/my-coding-cookbook1-null-skew-viz", "kernel_id": "46395067"}, {"ref": "pannsengpanich/titanic-machine-learning-from-disaster", "kernel_id": "46346225"}, {"ref": "yasiir/deep-learning-on-titanic-data", "kernel_id": "46703966"}, {"ref": "mdiftekharmahmud/starting-with-titanic", "kernel_id": "46898166"}, {"ref": "cansuozturk123/notebookf41e96e4f3", "kernel_id": "46580826"}, {"ref": "jorjo2009/custom-decision-tree-forest-gradient-boosting", "kernel_id": "46260289"}, {"ref": "alexeyk12/eda-algorithm-selection", "kernel_id": "46624381"}, {"ref": "nicholasahjohnson/one-hot-and-normalised-input-on-the-titanic", "kernel_id": "46732849"}, {"ref": "tamannapervez/eda-prediction-titanic", "kernel_id": "46636785"}, {"ref": "saikumar9848/titanic-data-science-solutions", "kernel_id": "46573565"}, {"ref": "umerloop/titanic-ml", "kernel_id": "46203753"}, {"ref": "happyoung/titanic-randomforestclassification", "kernel_id": "46665174"}, {"ref": "loannfeidt1/day-1-titanic-tournament", "kernel_id": "46991457"}, {"ref": "shamssahar/notebook4f4e94e953", "kernel_id": "46758235"}, {"ref": "les1781/titanic-competition", "kernel_id": "46651574"}, {"ref": "getanmolgupta01/titanic-survival", "kernel_id": "46184142"}, {"ref": "ahmadmakhdoomi/titanic-dataset-modeling-evaluation", "kernel_id": "46574060"}, {"ref": "mutasem02/titanic", "kernel_id": "46376047"}, {"ref": "arpit786/titanic-random-forest", "kernel_id": "46874275"}, {"ref": "osmandoan/titanic", "kernel_id": "46693721"}, {"ref": "tripuraripraveen/logistic-regression-model-prediction", "kernel_id": "46928675"}, {"ref": "tripuraripraveen/logistic-regression-on-titanic-dataset", "kernel_id": "46916649"}, {"ref": "srihithagudivada/titanic-logistic-regression-by-srihitha", "kernel_id": "46872473"}, {"ref": "garrickchinnis/getting-started-with-titanic-2", "kernel_id": "46039073"}, {"ref": "alkidiarete/titanic-vectorizer", "kernel_id": "46727851"}, {"ref": "harshsharma3002/titanic-linear-regression", "kernel_id": "46380348"}, {"ref": "samimamolu/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "46853445"}, {"ref": "upamasarker/titanic-machine-learning-from-disaster", "kernel_id": "46863512"}, {"ref": "mozartisme/titanic", "kernel_id": "46087003"}, {"ref": "sarabentafat/notebookd979d0021a", "kernel_id": "46976575"}, {"ref": "hyperion72/titanic", "kernel_id": "46686470"}, {"ref": "yijiaozhou/titanic-prediction", "kernel_id": "46756519"}, {"ref": "walmac/titanic-main7", "kernel_id": "46265723"}, {"ref": "uddeshhanchate/titanic-using-pyspark", "kernel_id": "46614417"}, {"ref": "dishantkharkar/titanic-prediction-model", "kernel_id": "46876524"}, {"ref": "mohamedkhaledidris/class", "kernel_id": "46089937"}, {"ref": "mohamedkhaledidris/naive-bayse-algorithm", "kernel_id": "46329101"}, {"ref": "harikanagalingam/titanic-logisticregression", "kernel_id": "46857927"}, {"ref": "paulabal/logistic-regression-p-balazhy", "kernel_id": "46054813"}, {"ref": "matteobalducciiii/matteo-balducci-titanic-challenge", "kernel_id": "46141760"}, {"ref": "shabbirchinioti/titanic-predic", "kernel_id": "46395106"}, {"ref": "vinayaktariyal/titanic-survival-prediction", "kernel_id": "46764324"}, {"ref": "parisakhaleghi/parisa-khaleghi-2283944", "kernel_id": "46829406"}, {"ref": "lvclaudeu/titanic-survival-prediction", "kernel_id": "46264530"}, {"ref": "smssajadi/titanic-using-logistic-regression", "kernel_id": "46550662"}, {"ref": "biswasangela/titanicprediction", "kernel_id": "46690545"}, {"ref": "cosmicmuffin/titanic-survival-prediction", "kernel_id": "46658810"}, {"ref": "waelakkad/notebookb4df84e5fe", "kernel_id": "46764403"}, {"ref": "muhsindemir/titanic-eda", "kernel_id": "46568788"}, {"ref": "gabrielnogueira22/titanic-v2", "kernel_id": "46415835"}, {"ref": "soorajgupta7/titanic-s-survival-story-vip-treatment-and-beyond", "kernel_id": "46461365"}, {"ref": "yldzburhan/titanic-survival-prediction0-1-lgbm-xgb", "kernel_id": "46505456"}, {"ref": "hynjcho/t2-1-titanic-simple-baseline", "kernel_id": "46579004"}, {"ref": "tisa33/titanic-sk-vs-tf-vs-xgboost", "kernel_id": "46271137"}, {"ref": "huseyinbaytar/feature-engineering-tips", "kernel_id": "46024841"}, {"ref": "huseyinbaytar/titanic-survive-prediction", "kernel_id": "46505256"}, {"ref": "ardagur/titanik-eda", "kernel_id": "46414778"}, {"ref": "ysparkfromkor/202130422", "kernel_id": "46280213"}, {"ref": "jacquilinealphans/titanic-survival-rate-by-gender", "kernel_id": "46981741"}, {"ref": "tnuoccawen/titanic-eda", "kernel_id": "46700666"}, {"ref": "ajrhee/tensorflow-for-beginners-titanic", "kernel_id": "46513276"}, {"ref": "maniratnam286/notebooke696180dea", "kernel_id": "46332149"}, {"ref": "zeynepvurat/titanic-disaster", "kernel_id": "46797645"}, {"ref": "zakpeters/python-certification-exercises-3", "kernel_id": "46652534"}, {"ref": "schnauzer2000/last-submission", "kernel_id": "46512437"}, {"ref": "anhtaihovu/new-titanic", "kernel_id": "46227340"}, {"ref": "batuhansenerr/depth-approach-to-titanic", "kernel_id": "46286707"}, {"ref": "sanjaydk/my-titanic", "kernel_id": "46761780"}, {"ref": "omerfaruksoy/titanic", "kernel_id": "46654301"}, {"ref": "ryanlee4493/titanic-survival-logisticregression", "kernel_id": "46456948"}, {"ref": "ebengabraham/titanic-neb-1-0-77511", "kernel_id": "46707263"}, {"ref": "lusiyu2021/logistic-regression", "kernel_id": "46788416"}, {"ref": "tossik/titanic", "kernel_id": "46932590"}, {"ref": "olivercarmont1/youtube-oliver-carmont-titanic-competition", "kernel_id": "46888990"}, {"ref": "borisshramko/notebooka28a9f8f25", "kernel_id": "46580313"}, {"ref": "prashikmeshram37/titanic-survived-pred", "kernel_id": "46343184"}, {"ref": "khushikhushikhushi/titanic", "kernel_id": "46031838"}, {"ref": "barnamikler/titanic", "kernel_id": "46025846"}, {"ref": "zaidali11/eda-feature-engineering-xgb-lgbm", "kernel_id": "46946568"}, {"ref": "silviobaiguini/notebook97a5ebd53f", "kernel_id": "46194860"}, {"ref": "oviemichaelodafe/classification-exercise-ovie-michael-odafe", "kernel_id": "46021713"}, {"ref": "dariagazkaeva/notebooked36a68a2c", "kernel_id": "46643529"}, {"ref": "drkaggle22/titanic-sol-random-forests-feature-engineering", "kernel_id": "46356654"}, {"ref": "drkaggle22/titanic-solution-for-beginners", "kernel_id": "46238435"}, {"ref": "alcapoint/notebook89da90114f", "kernel_id": "46576431"}, {"ref": "erayyuztyurk/titanic-machine-learning-from-disaster", "kernel_id": "46563376"}, {"ref": "yaasmiinnuhaaasap/my-30-day-ml-day-1", "kernel_id": "46717728"}, {"ref": "mynameisfyva/titanic-survival-predictions", "kernel_id": "46299985"}, {"ref": "pitonegiuseppe/first-kaggle-challenge", "kernel_id": "46766080"}, {"ref": "violetta00/titanic", "kernel_id": "46205893"}, {"ref": "michaelabracadabra/titanic-women-and-children-first", "kernel_id": "46697833"}, {"ref": "eliassaker/titanic-survival-chances", "kernel_id": "46595741"}, {"ref": "cfer111/titanic-prediction-dl-vs-ml", "kernel_id": "46005689"}, {"ref": "gamzezulal/titanic-machine-learning-from-disaster-my-work", "kernel_id": "46685878"}, {"ref": "vladislavzamuruev/notebook1a3e40bb99", "kernel_id": "46427264"}, {"ref": "santhoshsubra/titanic-survivor-prediction", "kernel_id": "46370794"}, {"ref": "donaldogbadu/getting-started-with-titani", "kernel_id": "46022477"}, {"ref": "keshavmalhotra10/titaniccomp", "kernel_id": "46418705"}, {"ref": "thijnbakker231131/titanic-prediction-new-approach", "kernel_id": "46191852"}, {"ref": "yusufyerlikaya/detailed-titanic-project", "kernel_id": "46534375"}, {"ref": "sitiamirahz/siti-amirah-zahra1401213154", "kernel_id": "46310578"}, {"ref": "jaysoncastillo/titanic-dataset-ml-by-jac", "kernel_id": "46492048"}, {"ref": "henriqueshiraishi/competitions-titanic", "kernel_id": "46666073"}, {"ref": "gadidevipriya/titanic-dataset-binaryclassification", "kernel_id": "46839227"}, {"ref": "rifkiafriadi/problem-i-titanic", "kernel_id": "46015722"}, {"ref": "annikalaw/titanic-survival-using-knn", "kernel_id": "46462722"}, {"ref": "leventeszabo1/notebook9365c2bfc2", "kernel_id": "46142339"}, {"ref": "xxx6793/titanic-6793", "kernel_id": "46833744"}, {"ref": "littlebird1/titanic-sklearn", "kernel_id": "46253245"}, {"ref": "mabdullah2971/titanic", "kernel_id": "46365250"}, {"ref": "andyberry/titanic-survival-prediction", "kernel_id": "46952969"}, {"ref": "gaganreddygt/logistic-regression", "kernel_id": "46207715"}, {"ref": "sumitkumarsingh22002/titanic-notebook", "kernel_id": "46313870"}, {"ref": "superdouding/pytorch-logistics-regression", "kernel_id": "46568449"}, {"ref": "jeonghyeyoun/titanic-ml", "kernel_id": "46448606"}, {"ref": "yyq2020/out-of-memory", "kernel_id": "46290843"}, {"ref": "enen5833/gettingstartedwithtitanic", "kernel_id": "46612539"}, {"ref": "elmezianech/notebook71ac3c60cf", "kernel_id": "46881897"}, {"ref": "mdoreidabdallah/notebookbdoreid4", "kernel_id": "46816505"}, {"ref": "mdoreidabdallah/notebookdoreid34", "kernel_id": "46793105"}, {"ref": "mdoreidabdallah/notebook-doreid", "kernel_id": "46787506"}, {"ref": "hindgassara/getting-started-with-titanic", "kernel_id": "46503729"}, {"ref": "rikuban/notebook312e097fb6", "kernel_id": "46430272"}, {"ref": "nitashamp/notebook98edf76746", "kernel_id": "46526991"}, {"ref": "arascaglar06/arascaglar-titanic-eda", "kernel_id": "46458588"}, {"ref": "mbelalalkassab/titanic-fatality-prediction-project", "kernel_id": "46691453"}, {"ref": "khanmdsaifullahanjar/titanic-machine-learning-from-disaster", "kernel_id": "46679273"}, {"ref": "faridbabakhanov/farid-titanic", "kernel_id": "46827342"}, {"ref": "nguyenmythong/titanic-disaster", "kernel_id": "46701935"}, {"ref": "hajerismailalwindawi/titanic-survival-predictions-comparision-study", "kernel_id": "46828872"}, {"ref": "uesaki/titanic", "kernel_id": "46891486"}, {"ref": "mohamedelmoustapha/notebook-titanic-competition", "kernel_id": "46807988"}, {"ref": "yorkyong/getting-started-with-titanic", "kernel_id": "46790076"}, {"ref": "ogmann/notebookf2e1b1f238", "kernel_id": "46935256"}, {"ref": "gunnargarrett/exercise-arithmetic-and-variables", "kernel_id": "46987719"}, {"ref": "glebmikh/azamat-eda", "kernel_id": "47645312"}, {"ref": "gascin/titanic-lightgbm", "kernel_id": "47916187"}, {"ref": "juzero/notebookca98b6524d", "kernel_id": "47568401"}, {"ref": "wmiscio/titanic-model-final-model-accuracy-77-75", "kernel_id": "47398786"}, {"ref": "rvalieris/linear-regression-and-model-selection-in-r", "kernel_id": "47255114"}, {"ref": "vabite/titanic-solved-with-ensemble-model", "kernel_id": "47188406"}, {"ref": "soso5225/kaggle-day3", "kernel_id": "47752488"}, {"ref": "yutodennou/tips-auto-model-generate-by-open-interpreter", "kernel_id": "47288705"}, {"ref": "yutodennou/tips-auto-model-generate-by-gemini-api", "kernel_id": "47960063"}, {"ref": "vs071997/punbison-titanic", "kernel_id": "47998075"}, {"ref": "pratapchdas/titanic-ml-from-disaster", "kernel_id": "47529671"}, {"ref": "namdong/nam-s-titanic-upgrade", "kernel_id": "47687434"}, {"ref": "radhakrishnanb/titanic-data-analysis", "kernel_id": "47435496"}, {"ref": "ivanpospelov/titanic-random-forest-with-gridcv-and-imputation", "kernel_id": "47203369"}, {"ref": "matheusparracho/titanic-perceptron-approach", "kernel_id": "47646987"}, {"ref": "samuelsferreira/pipeline-sklearn-titanic", "kernel_id": "47982067"}, {"ref": "saisrinivas384/sai-titanic-datset-code", "kernel_id": "47683237"}, {"ref": "farhankardan/titanic-eda-and-classification-modeling", "kernel_id": "47719850"}, {"ref": "sulheebaek/kaggle-dayone", "kernel_id": "47614366"}, {"ref": "sulheebaek/kaggle-day1", "kernel_id": "47384706"}, {"ref": "sulheebaek/kaggle-daythree", "kernel_id": "47752209"}, {"ref": "saleyseini/notebooka9657391d6", "kernel_id": "47322406"}, {"ref": "abishekjayan/this-is-where-it-starts", "kernel_id": "47234812"}, {"ref": "tabishqidwai/titanic-dataset-analysis", "kernel_id": "47269723"}, {"ref": "fernandogomezperera/introduction-to-machine-learning-with-scikit-learn", "kernel_id": "47666788"}, {"ref": "fernandogomezperera/introduction-to-data-visualization-with-seaborn", "kernel_id": "47597324"}, {"ref": "fernandogomezperera/elementos-b-sicos-de-pandas", "kernel_id": "47259647"}, {"ref": "moguzhan98/titanic-dataanalysis", "kernel_id": "47988846"}, {"ref": "furioussavenger/titanic", "kernel_id": "47938311"}, {"ref": "anamariamidoripreda/titanic-wcg-xgboost-0-84688", "kernel_id": "47668813"}, {"ref": "anamariamidoripreda/titanic-random-forest-82-78", "kernel_id": "47743744"}, {"ref": "samaldersley/notebook65fd010598", "kernel_id": "47659216"}, {"ref": "pragyamukherjee/titanic-data-analysis", "kernel_id": "47049823"}, {"ref": "rikansaha/titanic-dataset-v-draft", "kernel_id": "47223241"}, {"ref": "sagnik800/notebook52658ec2c8", "kernel_id": "47677201"}, {"ref": "tylerhoyle/titanic-competition-tensorflow-decision-forests", "kernel_id": "47330390"}, {"ref": "deeyasethi/notebook9bb9326f94", "kernel_id": "47476305"}, {"ref": "ekjongh/kaggle-day1", "kernel_id": "47614285"}, {"ref": "helddata/titanic-predicting-survivors-python-logistic", "kernel_id": "47033130"}, {"ref": "mariaatef130/task2", "kernel_id": "47986212"}, {"ref": "kazumatokuda/automl-beginner-s-guide-note", "kernel_id": "47218712"}, {"ref": "paulorobinson/titanic-an-lise-com-machine-learning", "kernel_id": "47747850"}, {"ref": "ben1221/xgboost-classifier", "kernel_id": "47182789"}, {"ref": "sumit0899/notebooka55fc3c939", "kernel_id": "47448865"}, {"ref": "tarungupta02/titanic-dataset-for-absolute-begineer-s", "kernel_id": "47557167"}, {"ref": "omarhamdymostafa/prodigy-ds-02-titanic", "kernel_id": "47470215"}, {"ref": "natsukihashimoto/titanic-random-forest-and-xgboost", "kernel_id": "47868893"}, {"ref": "jacobrho/titanic", "kernel_id": "47538741"}, {"ref": "cmendezmalaga/exercise-arithmetic-and-variables", "kernel_id": "47255070"}, {"ref": "dinadendan/titanic-classification", "kernel_id": "47894446"}, {"ref": "asawarikadam44/titanic-predictionknn", "kernel_id": "47862638"}, {"ref": "sayantikanag/titanicdataset-5934", "kernel_id": "47561594"}, {"ref": "sayantikanag/titanicdataset-regression", "kernel_id": "47069289"}, {"ref": "sayantikanag/titanicdataset-classification", "kernel_id": "47165497"}, {"ref": "kimbumju/titanic-kbj", "kernel_id": "47204275"}, {"ref": "abyssskb/titanic-with-deep-learning", "kernel_id": "47543448"}, {"ref": "zedataweaver/titanic-eda-and-model-tuning", "kernel_id": "47323708"}, {"ref": "uzairshafique/titanic-eda-and-survival-prediction-with-ml", "kernel_id": "47499296"}, {"ref": "uzairshafique/titanic-rf-gb-mlp-lasso-stacking-bagging-voting", "kernel_id": "47208450"}, {"ref": "tolgabolat/titanic-tf-gboostandxgboost", "kernel_id": "47600922"}, {"ref": "zakariajoudar/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "47842862"}, {"ref": "alinaageichik/examples-of-random-forest-decision-tree-xgboost", "kernel_id": "47939627"}, {"ref": "werus23/demo-notebook", "kernel_id": "47858807"}, {"ref": "peterdal/introduction-to-ensembling-stacking-in-python", "kernel_id": "47647685"}, {"ref": "sumitpardhiya/titanic-competition", "kernel_id": "47538949"}, {"ref": "arjitdsce/titanic-machine-learning-from-disaster", "kernel_id": "47041306"}, {"ref": "marielouisebusk/portfolio-1b-mie-nana-marie-louise", "kernel_id": "47252934"}, {"ref": "wangxlongasdasda/out-of-memory", "kernel_id": "47715200"}, {"ref": "pushkar007/learn-applying-random-forest-titanic-tutorial", "kernel_id": "47488683"}, {"ref": "kangrokkim/random-forest-in-titanic", "kernel_id": "47163162"}, {"ref": "dwijakakkad/titanic-submission", "kernel_id": "47588016"}, {"ref": "efaniorimutembo/titanic-classification-model", "kernel_id": "47375146"}, {"ref": "mukulsaini01/eda-random-forest-titanic", "kernel_id": "47933684"}, {"ref": "jaehwan98/titanic-votingclassifier-feat-20models", "kernel_id": "47030500"}, {"ref": "nicholasahjohnson/titanic-solution-with-pytorch-and-deep-learning", "kernel_id": "47351122"}, {"ref": "dipds109/titanic-stacking-clf", "kernel_id": "47765215"}, {"ref": "ying081/2023-12-10titanic", "kernel_id": "47559378"}, {"ref": "kimwonwoo0912/notebook033b5a28d4", "kernel_id": "47121565"}, {"ref": "reasatenoor/titanic-survival-notebook", "kernel_id": "47109161"}, {"ref": "juliolemus/titanic-survival-predictor-using-logisticreg", "kernel_id": "47049958"}, {"ref": "cj1234567890/titanic-for-catboost", "kernel_id": "47167787"}, {"ref": "kkkatie27/titanic-notebook", "kernel_id": "47357865"}, {"ref": "finanderson/titanic-xgboost", "kernel_id": "47517565"}, {"ref": "krishnandansah/titanic-submission", "kernel_id": "47405196"}, {"ref": "sultanalabidi/titanic", "kernel_id": "47985952"}, {"ref": "nishantharikanta/notebookd0d570eac8", "kernel_id": "47538357"}, {"ref": "thaonguyen18/titanic-thao-practices", "kernel_id": "47301332"}, {"ref": "chayanroy3/exercise-arithmetic-and-variables", "kernel_id": "47995786"}, {"ref": "haozhongjia/titanic-prediction-with-svm-knn-rf-gb", "kernel_id": "47250479"}, {"ref": "skparkr/231205-titanic", "kernel_id": "47353221"}, {"ref": "jackson0511/titanic-xgboost", "kernel_id": "47184677"}, {"ref": "austinolang/titanic-notebook", "kernel_id": "47628047"}, {"ref": "markuskim/titanic-model-prediction-using-decision-tree", "kernel_id": "47588432"}, {"ref": "anqixue/titanic-passenger-survival-predition-anqi-xue", "kernel_id": "47802582"}, {"ref": "ahmedraafat666/titanic-project", "kernel_id": "47660165"}, {"ref": "yeohhanyi/titanic-attempt-2", "kernel_id": "47833256"}, {"ref": "yeohhanyi/titanic-attempt-3", "kernel_id": "47835438"}, {"ref": "skipperad/titanik", "kernel_id": "47414649"}, {"ref": "anannoasif/titanic-data-competition", "kernel_id": "47939084"}, {"ref": "louyuechen0122/titanic-analysis", "kernel_id": "47016246"}, {"ref": "louyuechen0122/titanic-best-score", "kernel_id": "47016984"}, {"ref": "ekasomi/data-analysis-and-feature-extraction-with-python", "kernel_id": "47032005"}, {"ref": "salihsaritepe/titanic-feature-eng-selection-hyper-par-opt", "kernel_id": "47589489"}, {"ref": "nikhilkushwaha2529/titanic-survival-prediction", "kernel_id": "47701661"}, {"ref": "leonhardpiff/xgboost-predictor-with-counted-nans", "kernel_id": "47807052"}, {"ref": "jandyndor/titanic", "kernel_id": "47771396"}, {"ref": "madmax2003/titanic-best-catboost-solution", "kernel_id": "47578570"}, {"ref": "miichaaeel/titanic-sklearn-pipeline", "kernel_id": "47748135"}, {"ref": "thaerarda/tutorial-k-fold-cross-validation", "kernel_id": "47277938"}, {"ref": "maimuhammed/titanic-prediction", "kernel_id": "47134017"}, {"ref": "lukebukowski/predicting-titanic-survivors-using-random-forest", "kernel_id": "47647221"}, {"ref": "abuzarzulfikar/unleashing-insights-with-statistical-mastery-part1", "kernel_id": "47662771"}, {"ref": "hardwater/202005045-titanic", "kernel_id": "47127689"}, {"ref": "ahmedmostafa1more/titanic-comp", "kernel_id": "47841047"}, {"ref": "fatihmehmetkoc/titanicproject", "kernel_id": "47420548"}, {"ref": "przem8k/titanic-small-neural-network", "kernel_id": "47187726"}, {"ref": "maahdisobhani/titanic-prediction", "kernel_id": "47451792"}, {"ref": "jwilsh/titanic-competition-jwilsh", "kernel_id": "47882810"}, {"ref": "ziadmostafa1/titanic-data-surviving-prediction", "kernel_id": "47763305"}, {"ref": "anoshessam/titanic-survivals-prediction-classification", "kernel_id": "47590135"}, {"ref": "felipemantilla77/titanic-decision-trees-based-model-comparative", "kernel_id": "47011992"}, {"ref": "nextmillionaire/survival-prediction", "kernel_id": "47742870"}, {"ref": "robertdekkers/titanic-competition", "kernel_id": "47979579"}, {"ref": "omarperezsadek/titanic", "kernel_id": "47725316"}, {"ref": "haticerumeysayan/titanic", "kernel_id": "47042980"}, {"ref": "umbro10/titanic-data-analysis-0-78-accuracy", "kernel_id": "47079289"}, {"ref": "judechimezuruonyenwe/getting-started-with-titanic", "kernel_id": "47450420"}, {"ref": "entropapi/entro-titanic", "kernel_id": "47547881"}, {"ref": "zoeyshu0326/titanic-machine-learning-from-disaster", "kernel_id": "47494541"}, {"ref": "timkun/titanic-prediction", "kernel_id": "47217145"}, {"ref": "ak45aaa/titanic-competition-by-junheock", "kernel_id": "47593742"}, {"ref": "ygtreceee/titanic-with-tensorflow-decision-forests", "kernel_id": "47387461"}, {"ref": "stephenhayashiiq/titantic-competition-iq-notebook", "kernel_id": "47743553"}, {"ref": "krishpatel0/titanic-survival-prediction-using-knn-classifier", "kernel_id": "47076469"}, {"ref": "zakpeters/python-certification-test-4", "kernel_id": "47113063"}, {"ref": "meetraychura/notebookd6454fdc6d", "kernel_id": "47090129"}, {"ref": "seymma/titanic", "kernel_id": "47589764"}, {"ref": "gustavodearajo/titanic-survivor-predict", "kernel_id": "47244785"}, {"ref": "indraz03/praksiskar-pt122", "kernel_id": "47584058"}, {"ref": "indraz03/praksiskar-pt13", "kernel_id": "47453676"}, {"ref": "wishyun/notebookba1ef579cd", "kernel_id": "47176829"}, {"ref": "vic810/automl-fmaml", "kernel_id": "47182855"}, {"ref": "samuelpraveen77/titanic", "kernel_id": "47871163"}, {"ref": "baderalharan/titanic-problem-ml", "kernel_id": "47421863"}, {"ref": "baderalharan/notebookd3bc4bf718", "kernel_id": "47398961"}, {"ref": "diretivadigital/titanic-meu-primeiro-desafio", "kernel_id": "47169593"}, {"ref": "dimodimchev/titanic-predictions", "kernel_id": "47637480"}, {"ref": "rajputmonalharising/titanic-prediction", "kernel_id": "47136352"}, {"ref": "kirillmaslov13/maslov-lab2", "kernel_id": "47510727"}, {"ref": "kyujinahn/titanic-notebook", "kernel_id": "47864270"}, {"ref": "emmalshaw/emma-titanic-final", "kernel_id": "47846851"}, {"ref": "danielbrightman/titanic-second-part-danny-brightman", "kernel_id": "47053431"}, {"ref": "danielbrightman/notebookc2d6fda4ee", "kernel_id": "47861884"}, {"ref": "rm16754/ruby-titanic", "kernel_id": "47848504"}, {"ref": "soobinellapark/titanic", "kernel_id": "47008807"}, {"ref": "ketaladikane/titanic-dataset", "kernel_id": "47469047"}, {"ref": "theodociosvoyiatzis/titanicfinsub-theodocios-voyiatzis1", "kernel_id": "47847423"}, {"ref": "najeebz/titanic-competition-how-1-0-accuracy-is-scored", "kernel_id": "47684172"}, {"ref": "najeebz/titanic-competition-78-accuracy-for-beginners", "kernel_id": "47608548"}, {"ref": "najeebz/titanic-simple-aggregated-ml-model-score-0-78", "kernel_id": "47579368"}, {"ref": "najeebz/titanic-deep-learning-tensorflow-optuna-optimized", "kernel_id": "47478654"}, {"ref": "c70321019023/nndl-exp1", "kernel_id": "47874484"}, {"ref": "sabamubashir/exercise-arithmetic-and-variables", "kernel_id": "47832729"}, {"ref": "aylinaygn/titanic", "kernel_id": "47606567"}, {"ref": "siddharthsonkavade/notebook9dfd8745e8", "kernel_id": "47090759"}, {"ref": "ridaahsan/notebook34320637a6", "kernel_id": "47346651"}, {"ref": "realbadakhan/eda-to-prediction-dietanic", "kernel_id": "47387517"}, {"ref": "bader777/csis415-lab-practice", "kernel_id": "47418570"}, {"ref": "bader777/titanic", "kernel_id": "47421944"}, {"ref": "philipklippel/feedback-please-xgboost-titanic-pred", "kernel_id": "47473760"}, {"ref": "andrydasilva/titanic-competition", "kernel_id": "47729715"}, {"ref": "erenanlsezer/notebook4635bc1215", "kernel_id": "47098982"}, {"ref": "justinjuhel/titanic-randomforest-v1", "kernel_id": "47334415"}, {"ref": "yunavelicu/titanic-random-forest", "kernel_id": "47249032"}, {"ref": "duohereshui/notebook1a9fd22246", "kernel_id": "47453826"}, {"ref": "thomasgard/titanicdatasetfinal", "kernel_id": "47749601"}, {"ref": "taukir158/titanic-machine-learning-from-disaster", "kernel_id": "47977667"}, {"ref": "j111nu/notebook91a294e580", "kernel_id": "47928676"}, {"ref": "fionaxi815/fork-of-titanic-model", "kernel_id": "47598200"}, {"ref": "manognapallapothu/titanic-randomforest", "kernel_id": "47863657"}, {"ref": "bhh1997/titanic-randomforest", "kernel_id": "47132034"}, {"ref": "ismailaliahmed/titanic-notebook", "kernel_id": "47929933"}, {"ref": "yavordimitrov/titanic-tutorial", "kernel_id": "47470198"}, {"ref": "pauljamesdavidson/titanic-competition-using-random-forest", "kernel_id": "47765414"}, {"ref": "vrutikprajapati/titanic", "kernel_id": "47919408"}, {"ref": "guntupallimanasviiii/titanic-dataset-assignment", "kernel_id": "47980963"}, {"ref": "ludmilagomes/competition-titanic-top-10", "kernel_id": "47072183"}, {"ref": "nehalrgt3/notebook8f8268b8b0", "kernel_id": "47753973"}, {"ref": "yyq2020/out-of-memory-ustc", "kernel_id": "47831003"}, {"ref": "mybuns/mybuns-s-titantic-disaster-survivability-predictor", "kernel_id": "47220152"}, {"ref": "lesageethan/titanic-comp-code-w-pseudo-intelligent-na-fill", "kernel_id": "47828988"}, {"ref": "naiduchaitanya09/titanic-data-analysis-ds-task2", "kernel_id": "47388767"}, {"ref": "miloparker327/titanic", "kernel_id": "47180679"}, {"ref": "wanana20/titanic2", "kernel_id": "47457576"}, {"ref": "wanana20/titanic-r", "kernel_id": "47893603"}, {"ref": "wanana20/titanic", "kernel_id": "47908780"}, {"ref": "honamiishiguro/titanic-randomforestclassifier-1-ishiguro1203", "kernel_id": "47222684"}, {"ref": "sergeydeev/notebookedecf8a9d4", "kernel_id": "47586961"}, {"ref": "alexdrean/titanic-with-xgboost", "kernel_id": "47633336"}, {"ref": "minoi3/the-very-1st-step-in-trying-kaggle", "kernel_id": "47990459"}, {"ref": "riyaamemiya/riyaamemiya-titanic", "kernel_id": "47031666"}, {"ref": "timnanai/titanic", "kernel_id": "47101790"}, {"ref": "zeroeseo/titanic-tutorial-01", "kernel_id": "47249595"}, {"ref": "zeroeseo/titanic-tutorial-02", "kernel_id": "47580734"}, {"ref": "philpusnaveed/titanic-top-solution-with-new-accuracy", "kernel_id": "47228565"}, {"ref": "fatmazehrakk/titanic-project", "kernel_id": "47521175"}, {"ref": "albanecoiffe/notebook-titanic", "kernel_id": "47219534"}, {"ref": "anishnanjappa/notebook93a59c07af", "kernel_id": "47274829"}, {"ref": "diaconescuyanis/notebookcddceabedc", "kernel_id": "47336319"}, {"ref": "pmj4124/titanic2-pmj4124", "kernel_id": "47326569"}, {"ref": "pmj4124/titanic1-2-pmj4124", "kernel_id": "47327042"}, {"ref": "pmj4124/titanic-final-pmj4124", "kernel_id": "47335478"}, {"ref": "sidraansari1/titanic-fate-assessment", "kernel_id": "47336165"}, {"ref": "nahyoungkangg/231212-titanic", "kernel_id": "47653912"}, {"ref": "nahyoungkangg/231205-titanic", "kernel_id": "47348948"}, {"ref": "apavlov1371/notebookeb1910cad3", "kernel_id": "47367211"}, {"ref": "veronikaastrashab/introduction-to-ensembling-stacking-in-python", "kernel_id": "47987808"}, {"ref": "wangliren/titanic-notebook", "kernel_id": "47578953"}, {"ref": "jamalnajmi/titanic-competition-how-to-get-top-score-100", "kernel_id": "47706211"}, {"ref": "veronicalund/titanic-logistic-regression", "kernel_id": "47607631"}, {"ref": "berthasoto/exercise-arithmetic-and-variables", "kernel_id": "47480105"}, {"ref": "atheekhaisan/exercise-arithmetic-and-variables", "kernel_id": "47833801"}, {"ref": "boussosokhnafaty/titanic-pred2", "kernel_id": "47499719"}, {"ref": "ardefffe/titanik-eda", "kernel_id": "47550253"}, {"ref": "chaiwonho/titnaic", "kernel_id": "47844630"}, {"ref": "bayman/titanic-hw", "kernel_id": "47828538"}, {"ref": "dankhzipter/titanic-h-zifeladat", "kernel_id": "47578392"}, {"ref": "sameerprogrammer/ml-eda-practice", "kernel_id": "47970658"}, {"ref": "malaakyy/titanicfirsttrial", "kernel_id": "47668401"}, {"ref": "dontdeleteme/titanic-competition", "kernel_id": "47651075"}, {"ref": "dicksoncampbell/titanic-model", "kernel_id": "47977229"}, {"ref": "chunchunr/prac-titanic-data-science-solutions", "kernel_id": "47740364"}, {"ref": "chunchunr/prac-titanic-tutorial", "kernel_id": "47784064"}, {"ref": "nikitabannikov2001/titanic-problem-bannikov-9305", "kernel_id": "47860620"}, {"ref": "syedmohammadhaider/titanic-prediction-and-analysis", "kernel_id": "47912620"}, {"ref": "cxsq221/titanic-predict", "kernel_id": "47778926"}, {"ref": "aliafshar7/titanic-ml", "kernel_id": "47888997"}, {"ref": "arturonavarrete/getting-started-with-titanic", "kernel_id": "47853597"}, {"ref": "halilgla/exercise-arithmetic-and-variables", "kernel_id": "47892823"}, {"ref": "barbaraulitsky/titanic-competition", "kernel_id": "48979878"}, {"ref": "suessmann/eng-practics", "kernel_id": "48396840"}, {"ref": "commandante/titanic-survival-prediction-using-neural-network", "kernel_id": "48710995"}, {"ref": "darknez/pyspark-tut", "kernel_id": "48882115"}, {"ref": "bcicek/titanic-exercise", "kernel_id": "48392377"}, {"ref": "vaibhavbawej07/titanic-random-forest-and-logistic-regression", "kernel_id": "48830535"}, {"ref": "stpeteishii/titanic-simple-lgbm-w-polars", "kernel_id": "48051561"}, {"ref": "stpeteishii/titanic-simple-lgbm", "kernel_id": "48016600"}, {"ref": "sk0276/starting-with-titanic", "kernel_id": "48655573"}, {"ref": "nataliehoyina/titanic-case", "kernel_id": "48756187"}, {"ref": "smoopa/titanic-v2", "kernel_id": "48353060"}, {"ref": "realist967/titanic-competition", "kernel_id": "48188964"}, {"ref": "nazhifkojaz/predicting-titanic-survival-random-forest", "kernel_id": "48902930"}, {"ref": "camm93/classification-techniques-with-titanic-dataset", "kernel_id": "48975847"}, {"ref": "ronfswanson/titaniceda-catboost", "kernel_id": "48256837"}, {"ref": "shrutidceit/shruti-titanic-data", "kernel_id": "48483684"}, {"ref": "kirillkolesnikov/titanic-easy-pred", "kernel_id": "48910500"}, {"ref": "dashleb/titanic-130907", "kernel_id": "48310334"}, {"ref": "aissaalkaa/machine-learning-from-disaster", "kernel_id": "48936578"}, {"ref": "afolakebaiyewu/titanic-survival-prediction-first-approach", "kernel_id": "48704418"}, {"ref": "yoselindelgadonunez/yoyiland-titanic-handson", "kernel_id": "48602636"}, {"ref": "jeremyyap/linear-model-and-neural-net-from-scratch", "kernel_id": "48269379"}, {"ref": "muhammadamer/logistic-regression-and-grid-searchcv", "kernel_id": "48772951"}, {"ref": "an1ndya/getting-started-with-titanic", "kernel_id": "48233410"}, {"ref": "ouyimin19/titanic-machine-learning-from-disaster", "kernel_id": "48330710"}, {"ref": "dhruvdmahajan/task1-level1", "kernel_id": "48475796"}, {"ref": "ibrahimaanne/pipeline-gridsearchcv-xgboost", "kernel_id": "48190296"}, {"ref": "mohamedcherifilplp/hw3-zidani-mohamed-g01", "kernel_id": "48277886"}, {"ref": "sushmithabala/titanic-dataset-logistic-reg-with-cv-ann", "kernel_id": "48936907"}, {"ref": "eldarsarajlic/titanic-exercise", "kernel_id": "48284368"}, {"ref": "landvoso/getting-started-with-titanic", "kernel_id": "48640468"}, {"ref": "jt4v4res/titanic-competition-notebook", "kernel_id": "48097763"}, {"ref": "rohitcode123/titanic-gdsc", "kernel_id": "48994590"}, {"ref": "omerbaktash/titanic-ml", "kernel_id": "48259732"}, {"ref": "yizhongchao/my-first-titanic-test", "kernel_id": "48728037"}, {"ref": "vaibhavtalekar/titanic-data-journey-all-in-one-class-approach", "kernel_id": "48856288"}, {"ref": "shayalvaghasiya/cmp1-titanic", "kernel_id": "48768464"}, {"ref": "tobniislam/titanic-classification-problem", "kernel_id": "48667229"}, {"ref": "satyaprakashshukl/titanic-survival-classification", "kernel_id": "48724731"}, {"ref": "iuriist/titanic-gradient-boosting-models", "kernel_id": "48952611"}, {"ref": "towlei/titanic-nn-with-knn-imputations", "kernel_id": "48964493"}, {"ref": "yoshifumioto/iportance-weighting", "kernel_id": "48359570"}, {"ref": "cassianalima/titanic-eda-and-classification", "kernel_id": "48096737"}, {"ref": "stanislavtataren/notebook-titanic", "kernel_id": "48844112"}, {"ref": "aswathchandrasekar/titanic-dataset", "kernel_id": "48409301"}, {"ref": "nursultankurmanbekov/titaniceda-pipeline", "kernel_id": "48918409"}, {"ref": "nursultankurmanbekov/exploratory-data-analysis-eda", "kernel_id": "48916639"}, {"ref": "sangeetha1806/titanic-survival-prediction-using-xg-boost", "kernel_id": "48538788"}, {"ref": "andreakvasnak/datathon-step-1-data-exploration-example-2023", "kernel_id": "48193106"}, {"ref": "andreakvasnak/datathon-2-eng-and-pred-2023", "kernel_id": "48933988"}, {"ref": "manavdodia/sample-run", "kernel_id": "48859764"}, {"ref": "sriharshaeedala/xgb-lgbm-catboost-hypertuning", "kernel_id": "48531897"}, {"ref": "melan3461/titanic-ml-using-quadratic-discriminant-analysis", "kernel_id": "48645524"}, {"ref": "danishjmeo/statistical-tests-case", "kernel_id": "48208404"}, {"ref": "joshhaber/titanic-feature-engineering-and-stacking-with-xgb", "kernel_id": "48280221"}, {"ref": "joshhaber/titanic-pipeline-xgboosted-ensemble", "kernel_id": "48697793"}, {"ref": "mukundiyerw21/titanic-survival-prediction", "kernel_id": "48375375"}, {"ref": "steffking01/easy-titanic-model-sklearn", "kernel_id": "48784142"}, {"ref": "jhinxzed/ensemble-classifier", "kernel_id": "48721661"}, {"ref": "josemoran/decisiontree-regressor", "kernel_id": "48441364"}, {"ref": "larjeck/titanic6", "kernel_id": "48913679"}, {"ref": "mozammalhaquetonoy/exercise-arithmetic-and-variables", "kernel_id": "48806135"}, {"ref": "kershrita/feature-selection-filter-wrapper-embedded", "kernel_id": "48552486"}, {"ref": "polinavolskaya/titan", "kernel_id": "48923496"}, {"ref": "rakeshrk07/titanicdata-eda-model-xgboost", "kernel_id": "48427377"}, {"ref": "osmanfitrat/titanik-da", "kernel_id": "48840329"}, {"ref": "stechparme/simple-baseline-xgboost-lightgbm-nn-ensemble", "kernel_id": "48726205"}, {"ref": "isazeynalov/logistic-regression-with-python", "kernel_id": "48689478"}, {"ref": "jaysreeborgohain/titanic-linear-regression-notebook1", "kernel_id": "48179459"}, {"ref": "mukundsavaliya/titanic-prediction-rf", "kernel_id": "48860856"}, {"ref": "shivamsinghml/titanic-challenge-new", "kernel_id": "48727737"}, {"ref": "nagarmanthan/titanic-analysis-nirma", "kernel_id": "48768620"}, {"ref": "obliquedbishop/in-depth-titanic-data-analysis", "kernel_id": "48207256"}, {"ref": "dtharun98425/s-tit", "kernel_id": "48816886"}, {"ref": "presanna/neural-network-titanic", "kernel_id": "48901307"}, {"ref": "joshsalce/logistic-linear-regression-subset-selection-test", "kernel_id": "48232858"}, {"ref": "yaminh/tried-with-lr-rf-svc", "kernel_id": "48432235"}, {"ref": "aashutoshdubey/titanic-eda-rf-ensemble-0-7703", "kernel_id": "48721817"}, {"ref": "smitraval24/titanic-machine-learning-from-disaster", "kernel_id": "48769426"}, {"ref": "ahsanyousuf/titanic-survival-predictions", "kernel_id": "48408125"}, {"ref": "carloscll/adaboost-titanic-feature-importance", "kernel_id": "48287334"}, {"ref": "jennifer412/notebookcc19414c57", "kernel_id": "48116842"}, {"ref": "ncibaakuur/titanic-classifier", "kernel_id": "48265480"}, {"ref": "zulfi3436/ai-randomforestregressor-zulfiqar-ali", "kernel_id": "48381984"}, {"ref": "yousefelbaroudy/titanic-competition-educational-tutorial", "kernel_id": "48693685"}, {"ref": "venkatprabup21alr051/titanic-submission", "kernel_id": "48619014"}, {"ref": "vishwasatrey/titanic-solution", "kernel_id": "48016471"}, {"ref": "crisbebop/titanic-autogluon", "kernel_id": "48831838"}, {"ref": "glabra10/titanic-sub", "kernel_id": "48407029"}, {"ref": "marquesmcgrath/notebookabc0749fd5", "kernel_id": "48966637"}, {"ref": "dilmurodgoyupov/data-science-2-titanic", "kernel_id": "48912397"}, {"ref": "thedeveshsoni/titanic-tutorial", "kernel_id": "48860088"}, {"ref": "hamzasam/tutorial-k-fold-cross-validation", "kernel_id": "48062460"}, {"ref": "borhaneddineboudiaf/data-manipulation-and-some-simple-models", "kernel_id": "48179343"}, {"ref": "chooyeanchan/titanic-beginner-231231", "kernel_id": "48727557"}, {"ref": "chooyeanchan/titanic-beginner-231218", "kernel_id": "48012910"}, {"ref": "vishnupriyagarige/titanic-machine-learning-from-disaster", "kernel_id": "48671194"}, {"ref": "aysegulsezen/notebook66d0325683", "kernel_id": "48859895"}, {"ref": "sebastianwillmann/titanic-prediction", "kernel_id": "48856955"}, {"ref": "peterhu2022/titanic-multilayer-perceptron-dropout-in-pytorch", "kernel_id": "48667068"}, {"ref": "peterhu2022/titanic-logisticreg", "kernel_id": "48606147"}, {"ref": "yudonidlomfirmansyah/logattentionnet-titanic-id", "kernel_id": "48935251"}, {"ref": "whlee22/titanic-ml-anova-chi-squaretest-15", "kernel_id": "48850710"}, {"ref": "muradibrahimli/data-and-info-eng", "kernel_id": "48688516"}, {"ref": "abdurrahman22224/filter-based-feature-selection", "kernel_id": "48669846"}, {"ref": "alfiedanish/titanic-survivability", "kernel_id": "48544491"}, {"ref": "ronancoutinho/titanic", "kernel_id": "48263722"}, {"ref": "hafizabc77/titanic-survival-answer", "kernel_id": "48854839"}, {"ref": "harithavedam/titanic", "kernel_id": "48455184"}, {"ref": "salmaelgezawy/titanic-survived-classification", "kernel_id": "48922818"}, {"ref": "sanjay1415/titanic-analysis-project", "kernel_id": "48676718"}, {"ref": "sanjay1415/decision-tree-algorithm-analysis", "kernel_id": "48458958"}, {"ref": "adelinaduman/titanic", "kernel_id": "48424950"}, {"ref": "nimaamir/titanic-ml", "kernel_id": "48639756"}, {"ref": "alaaawd/titanic", "kernel_id": "48279710"}, {"ref": "duongtruongbinh/titanic-eda-survival-prediction", "kernel_id": "48934010"}, {"ref": "natchananprabhong/titanic-survival-prediction", "kernel_id": "48289213"}, {"ref": "ayakouks/test-feature-selection", "kernel_id": "48485741"}, {"ref": "gauravsaroha/titanic-notebook", "kernel_id": "48381492"}, {"ref": "yashusinghal/0-77-random-forest-beginner-notebook", "kernel_id": "48212854"}, {"ref": "elsayednashaat/titanic-machine-learning-from-disaster", "kernel_id": "48291979"}, {"ref": "haokangzhang/getting-started-with-titanic", "kernel_id": "48778491"}, {"ref": "aakarabulut/titanic-survival-prediction", "kernel_id": "48376367"}, {"ref": "anannoasif/data-pre-processing-handling-missing-values", "kernel_id": "48195288"}, {"ref": "anannoasif/titanic-survival-prediction-using-nn-classifier", "kernel_id": "48029583"}, {"ref": "ayantuhundessa/titanic-notebook", "kernel_id": "48935589"}, {"ref": "sanghoaxun/introduction-to-decision-trees-titanic-dataset", "kernel_id": "48756097"}, {"ref": "sarabentafat/homework-exo2-practicalwork-featureselection", "kernel_id": "48214304"}, {"ref": "hasibulhossain/201002296-hasibul-dm-lab-report-04", "kernel_id": "48664179"}, {"ref": "hetpatel10/titanic-eda", "kernel_id": "48944180"}, {"ref": "nasirhussainn/titanic-competition-code", "kernel_id": "48787108"}, {"ref": "suryanshsharma1/titanic-approachable-solution", "kernel_id": "48602562"}, {"ref": "joeshwoageorge/titanic-classifaication", "kernel_id": "48451734"}, {"ref": "sirzhaopin/titanic", "kernel_id": "48199484"}, {"ref": "amankumar420/survival-insights-predictive-modeling-for-titanic", "kernel_id": "48507358"}, {"ref": "mrleductrung/linear-model-and-neural-net-from-scratch", "kernel_id": "48162480"}, {"ref": "cheryljiang0429/titanic-machine-learning-from-disaster", "kernel_id": "48706458"}, {"ref": "krishnapopat/dl-titanic-eda", "kernel_id": "48944526"}, {"ref": "yasvanthikak21itr122/titanic-neural-network", "kernel_id": "48901444"}, {"ref": "kavyas21itr052/titanic-nn", "kernel_id": "48900451"}, {"ref": "misakip/titanic", "kernel_id": "48375922"}, {"ref": "jimpaulpunay/titanic-prediction-using-random-forest-model", "kernel_id": "48077949"}, {"ref": "anusreemondal/titanic-machine-learning-from-disaster", "kernel_id": "48280134"}, {"ref": "arshnoor7389/titanic-eda-and-logistic-regression", "kernel_id": "48638034"}, {"ref": "balaramnaidu/titanic-predictions", "kernel_id": "48862332"}, {"ref": "younusmohamed/06-06-titanic-survival-eda-baseline-comparison", "kernel_id": "48314053"}, {"ref": "swine523/titanic-survival-prediction-logreg-pipeline", "kernel_id": "48206978"}, {"ref": "nguyenhoangtungpham/titanic-my-first-submission", "kernel_id": "48188383"}, {"ref": "robpeifon/titanic-decision-tree-arvore-de-decisao", "kernel_id": "48702683"}, {"ref": "fardoushasan7/titanic-in-python", "kernel_id": "48666684"}, {"ref": "cheesegue/eda-titanic", "kernel_id": "48575569"}, {"ref": "rajendrakpandey/titanic-survival-prediction-v3", "kernel_id": "48870778"}, {"ref": "rajendrakpandey/titanic-machine-learning-from-disaster-raj", "kernel_id": "48777042"}, {"ref": "gerchav/gr4-titanic", "kernel_id": "48008544"}, {"ref": "christy03/second", "kernel_id": "48251304"}, {"ref": "eunicekoffi/notebookfbc0c19c2b", "kernel_id": "48167048"}, {"ref": "akshatajmera0/titanic-survival-prediction-akshat", "kernel_id": "48246077"}, {"ref": "riddhidumre/nndl-exp1", "kernel_id": "48231735"}, {"ref": "yellow93/titanic", "kernel_id": "48684619"}, {"ref": "yogendarsingh87/titanic-notebook", "kernel_id": "48519023"}, {"ref": "kalpanadevig21csr074/titanic-neuranetwork", "kernel_id": "48901526"}, {"ref": "channingfisher/dl-practical-1-titanic", "kernel_id": "48899582"}, {"ref": "tamalkoley/titanic-train", "kernel_id": "48030814"}, {"ref": "tamalkoley/titanic-data", "kernel_id": "48663352"}, {"ref": "keerthibalaat/neural-network", "kernel_id": "48909983"}, {"ref": "antrabansal/logistic-regression-on-titanic-dataset", "kernel_id": "48856150"}, {"ref": "pinarismiguzel/titanic-random-forest-acc-0-82", "kernel_id": "48054610"}, {"ref": "vincentlee3231/titanic-dataset-eda-model-implementation", "kernel_id": "48443530"}, {"ref": "maorblumberg/titanic-pred", "kernel_id": "48553184"}, {"ref": "keerthanadevis478/titanic-dataset", "kernel_id": "48766931"}, {"ref": "keerthanadevis478/titanic-keras", "kernel_id": "48900930"}, {"ref": "vyom71/titanic-submission", "kernel_id": "48255293"}, {"ref": "vyom71/titanic-eda-demo-for-students", "kernel_id": "48944318"}, {"ref": "alydiazhang/titanic-prediction", "kernel_id": "48890397"}, {"ref": "hoyeonkangjoe/titanic-machine-learning-from-disaster", "kernel_id": "48558412"}, {"ref": "muhammadmaraikhsan/final-exam-ai-muhammad-mara-ikhsan-random-forest", "kernel_id": "48521422"}, {"ref": "ashlynnem/ashlynne-mcbride-final-titanic", "kernel_id": "48083030"}, {"ref": "okayananya/titanic-classifier-bi", "kernel_id": "48840243"}, {"ref": "abdmental01/unveiling-the-champion-selecting-the-best-model", "kernel_id": "48703102"}, {"ref": "anirudhgupta1729/titanic-different-methods-anirudhgupta", "kernel_id": "48823602"}, {"ref": "zeyadsayedadbullah/titanic-survival-prediction", "kernel_id": "48596333"}, {"ref": "gennadybrenkov/notebook426567039d", "kernel_id": "48644811"}, {"ref": "alfiaabubaker/getting-started-with-titanic", "kernel_id": "48002878"}, {"ref": "sukrakarn/titanic-ml-decision-tree", "kernel_id": "48267386"}, {"ref": "arunkumarmtp17/titanic", "kernel_id": "48621302"}, {"ref": "riyasharma2003/decision-tree-titanic", "kernel_id": "48382911"}, {"ref": "masanum/final-kadai", "kernel_id": "48007095"}, {"ref": "najeebz/machine-learning-xgboost-gridsearchcv", "kernel_id": "48151872"}, {"ref": "najeebz/titanic-sklearn-models-comparison-score-0-79", "kernel_id": "48717437"}, {"ref": "najeebz/titanic-5-models-ensembled-gridsearchcv-xgboost", "kernel_id": "48844071"}, {"ref": "dhruvkanzaria/first-titanic-prediction", "kernel_id": "48860223"}, {"ref": "harshit8118/titanic-passenger-survival", "kernel_id": "48655829"}, {"ref": "alexandrelemercier/the-regularization-rumble", "kernel_id": "48135379"}, {"ref": "alexandrelemercier/titanic-keras", "kernel_id": "48029955"}, {"ref": "oliverev/fork-of-fork-of-titanictesttrouble", "kernel_id": "48839051"}, {"ref": "hillevisvendsen/fork-of-titanic", "kernel_id": "48730689"}, {"ref": "vagrantbastola/titanic-survival-prediction-with-different-models", "kernel_id": "48591494"}, {"ref": "abhimanyu2244/titanic-predicition", "kernel_id": "48823897"}, {"ref": "vishalaramireddy/notebook8c5ae699cd", "kernel_id": "48564525"}, {"ref": "nazcet/getting-started-with-titanic", "kernel_id": "48655699"}, {"ref": "mujtabamoawya/titanic", "kernel_id": "48607862"}, {"ref": "abdalrhamnhebishy/titanic-predictions", "kernel_id": "48235382"}, {"ref": "destroyagony/titanic-xgboost", "kernel_id": "48028552"}, {"ref": "shrirams21/titanic-neural-network", "kernel_id": "48901223"}, {"ref": "mlippo/py-titanic-logistic-regression", "kernel_id": "48467007"}, {"ref": "benmedakhenesouha/practical-practice", "kernel_id": "48348546"}, {"ref": "gayathiri2003/titanic-neural-network", "kernel_id": "48904536"}, {"ref": "darlingtonalloh/random-forest-machine-learning-model", "kernel_id": "48410702"}, {"ref": "gongtuphellyeah/titanic-second-prediction-test", "kernel_id": "48624148"}, {"ref": "magdalenaobrembska/my-first-challenge-titanic", "kernel_id": "48169998"}, {"ref": "zaki12/hw3-agoun-zakaria-g04", "kernel_id": "48278564"}, {"ref": "priyankadandupati23/competition-titanic-image-titanic-machine-learning", "kernel_id": "48907723"}, {"ref": "drv007/titanic-solution", "kernel_id": "48732636"}, {"ref": "farestouka/fares-toukali-practicalwork", "kernel_id": "48594209"}, {"ref": "elaheesl/titianic-disaster", "kernel_id": "48359874"}, {"ref": "elvinbabu07/notebook-titanic-knn", "kernel_id": "48577488"}, {"ref": "khaledalrashidi1/titanic-survival-prediction-beginner-friendly", "kernel_id": "48204760"}, {"ref": "navid365/logistic-regression-for-beginners", "kernel_id": "48875595"}, {"ref": "prashantmp1409/titanic-dead-or-alive", "kernel_id": "48822093"}, {"ref": "zirklelc/titanic-w-micrograd", "kernel_id": "48248984"}, {"ref": "thekazisakib/titanic-ml-mastery-predicting-survival-swiftly", "kernel_id": "48603400"}, {"ref": "michaelfichtner/brute-forcing-random-forest", "kernel_id": "48066904"}, {"ref": "wasjaipmailru/catboost-gpu-test", "kernel_id": "48488460"}, {"ref": "rikuban/notebookfc25572da3", "kernel_id": "48125342"}, {"ref": "seokulee/02-data-visualization", "kernel_id": "48124055"}, {"ref": "seokulee/01-pandas-basic", "kernel_id": "48113138"}, {"ref": "seokulee/03-models", "kernel_id": "48126373"}, {"ref": "seokulee/04-ensembling", "kernel_id": "48162783"}, {"ref": "nitukumari1234/getting-strted-with-titanic", "kernel_id": "48394159"}, {"ref": "wanana20/titanic-data-visualization-top-25-score", "kernel_id": "48110088"}, {"ref": "yorkyong/titanic-ml-practice-with-pipelines", "kernel_id": "48701699"}, {"ref": "taimnguyen/notebook560e3115f9", "kernel_id": "48048503"}, {"ref": "nikhildigrase/titanic", "kernel_id": "48582995"}, {"ref": "mdmuqtadirfuad/titanic-project", "kernel_id": "48222028"}, {"ref": "avinashtokada25/titanic-dataset", "kernel_id": "48459527"}, {"ref": "jlnatalielow/titanic-survival-ml-prediction", "kernel_id": "48589469"}, {"ref": "vincenzosoragnese/notebooke2153a2b3c", "kernel_id": "48390254"}, {"ref": "mirzafarly/titanic-prediction", "kernel_id": "48611856"}, {"ref": "justine231/tintanic-r", "kernel_id": "48587444"}, {"ref": "baochidang/comparing-between-3-universal-approximators", "kernel_id": "48106284"}, {"ref": "zornyr/titanic-notebook-catboost-vs-sklearn", "kernel_id": "48134797"}, {"ref": "margaritanupreichik/titanic", "kernel_id": "48686223"}, {"ref": "abdullahalawad/titanic-in-data-visualization", "kernel_id": "48907651"}, {"ref": "andreasbis/intro-to-machine-learning", "kernel_id": "48602979"}, {"ref": "samalexandercastle/titanic-average-of-survivor", "kernel_id": "48246271"}, {"ref": "ginaleedata/1-titanic", "kernel_id": "48487881"}, {"ref": "brinleymacnamara/titantic-feature-engineering", "kernel_id": "48146134"}, {"ref": "thelastbugs/notebook19bbf9706b", "kernel_id": "48104708"}, {"ref": "firatgurler/titanik-eda-proje", "kernel_id": "48187424"}, {"ref": "adiaratouba/exercise-arithmetic-and-variables-deja-fait", "kernel_id": "48019925"}, {"ref": "christianferdi/exercise-arithmetic-and-variables", "kernel_id": "48064611"}, {"ref": "drthabitfursan/data-mining-project-yousef-team-1", "kernel_id": "48079489"}, {"ref": "drthabitfursan/yousef-ibtsam-task", "kernel_id": "48125162"}, {"ref": "nguyenngothuong/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "48081362"}, {"ref": "eenterprises/titanic-gridsearch", "kernel_id": "48098642"}, {"ref": "xiaowenhojin/optional-assignment-kaggle-challenge", "kernel_id": "48362266"}, {"ref": "vineethvs/titanic-prediction", "kernel_id": "48119306"}, {"ref": "ramirazodi/titanic-flex-vote-pipe", "kernel_id": "48977485"}, {"ref": "joshuajosephcheeran/notebook980adea5cb", "kernel_id": "48385182"}, {"ref": "scottiew1ll/titanic-submission", "kernel_id": "48203799"}, {"ref": "frankzhang2716/titanic-hz2716", "kernel_id": "48310431"}, {"ref": "yousufalsherbiny/titanic", "kernel_id": "48280759"}, {"ref": "minghaoelliotzhou/elementaryds-extracredit", "kernel_id": "48311057"}, {"ref": "sangyeohan/titanic-sangyeobhan-sh4092", "kernel_id": "48369942"}, {"ref": "omaralsaif/titanicvis", "kernel_id": "48907228"}, {"ref": "adamalfarabi/getting-started-with-titanic", "kernel_id": "48644104"}, {"ref": "tarikemre/titanicsurvivepredict-competition", "kernel_id": "48775065"}, {"ref": "harshase/titanic", "kernel_id": "48466012"}, {"ref": "rahshithasureshbabu/gradient-boosting-for-titanic-dataset", "kernel_id": "48561979"}, {"ref": "devranates/titanic-tutorial", "kernel_id": "48878830"}, {"ref": "farheenshaukat/titanic-tutorial", "kernel_id": "48956714"}, {"ref": "jayyanamandala/titanic-ml-from-disaster-neural-networks", "kernel_id": "48677883"}, {"ref": "iamrohitsaha91/titanic-survivals-iamrohitsaha91", "kernel_id": "48632222"}, {"ref": "asmamalicaj/randomforest-titanic", "kernel_id": "48917213"}, {"ref": "asmamalicaj/neuralnetwork-titanic", "kernel_id": "48903477"}, {"ref": "asmamalicaj/lightgbm-titanic", "kernel_id": "48874981"}, {"ref": "danlamimujitapha/warm-up", "kernel_id": "48752942"}, {"ref": "sivaramanmk/titanic-nn", "kernel_id": "48949104"}, {"ref": "hieundai/titanic", "kernel_id": "48859349"}, {"ref": "nishantsrinet/exercise-arithmetic-variables", "kernel_id": "48775092"}, {"ref": "richardwangombe/titanic-a-complete-beginner-s-guide", "kernel_id": "48967002"}, {"ref": "dishalimbasiya/disha-titanic-23mcd010", "kernel_id": "48768778"}, {"ref": "shelvikamani9/titanic-compitition", "kernel_id": "48768513"}, {"ref": "harshilt512/titanic-exercise-1", "kernel_id": "48860866"}, {"ref": "astha0410/notebook-1", "kernel_id": "48859883"}, {"ref": "ankur01yadav/kaggle-titanic-1", "kernel_id": "48783708"}, {"ref": "zarifs/titanic-ml-model", "kernel_id": "48824425"}, {"ref": "jnapomokoetle/getting-started-with-titanic", "kernel_id": "48839479"}, {"ref": "hamzaahmedkhan1122/titanic-bazaar-practice", "kernel_id": "48859608"}, {"ref": "dharshdk/dharshini-titanic", "kernel_id": "48873203"}, {"ref": "dharshdk/dharshini-tensorflow-titanic", "kernel_id": "48904505"}, {"ref": "pandy9686/titanic-tutorial-1", "kernel_id": "48916344"}, {"ref": "bommisri/titanic-nn", "kernel_id": "48918740"}, {"ref": "bommisri/titanic-lightgbm", "kernel_id": "48917513"}, {"ref": "bommisri/titanic", "kernel_id": "48916059"}, {"ref": "bommisri/titanic-xgboost", "kernel_id": "48916973"}, {"ref": "karthikakumaravel/neural-network", "kernel_id": "48926073"}, {"ref": "elizabeth2nd/notebooktitanicelizabetha", "kernel_id": "48924973"}, {"ref": "nicholasallee/why-you-should-use-a-framework-titanic-submission", "kernel_id": "48987872"}, {"ref": "pehahn/developing-kaggle-notebooks-chapter-three-in-r", "kernel_id": "49142933"}, {"ref": "tyatsenk/anysurvivors-titanicpreds", "kernel_id": "49373804"}, {"ref": "bakharzy/titanic-mystery", "kernel_id": "49059846"}, {"ref": "dkinvoker/titanic-1", "kernel_id": "49827140"}, {"ref": "bevinthomas/titanic-data-science-solutions-bevinbijuthomas", "kernel_id": "49911359"}, {"ref": "at3191/titanic-end-to-end-explanation-0-83-accuracy", "kernel_id": "49238282"}, {"ref": "synerkag/1-20-titanic-prediction", "kernel_id": "49745450"}, {"ref": "synerkag/titanic-prediction-4dfe85", "kernel_id": "49719038"}, {"ref": "wonderstat/james-titanic-predictions", "kernel_id": "49924997"}, {"ref": "lpubsppop01/20240107-titanic-tutorial", "kernel_id": "49034920"}, {"ref": "surajwate/titanic-random-forest", "kernel_id": "49093202"}, {"ref": "namyang94/classification-titanic-survivors", "kernel_id": "49320644"}, {"ref": "stpeteishii/titanic-randomforest-r", "kernel_id": "49385230"}, {"ref": "stpeteishii/titanic-lgbm-r", "kernel_id": "49523587"}, {"ref": "slavanorm/eda-titanic", "kernel_id": "49015179"}, {"ref": "slavanorm/78-947-single-model-titanic", "kernel_id": "49015299"}, {"ref": "nambiarsidharth/titanic-data-science-solutions", "kernel_id": "49993950"}, {"ref": "hasan1101/workshop-day-1-titanic-dataset", "kernel_id": "49419608"}, {"ref": "dtaualii/calculating-coefficients", "kernel_id": "49717889"}, {"ref": "aishwaryanandakumar/titanic-prediction-through-ml-and-dl-model", "kernel_id": "49814027"}, {"ref": "jbowski/ml-beginners-titanic-tutorial-from-scratch", "kernel_id": "49971997"}, {"ref": "snehasnehav/titanic-prediction", "kernel_id": "49238128"}, {"ref": "shouheikuniyoshi/ibis-kaggle-titanic-tutorial", "kernel_id": "49370387"}, {"ref": "tokuma0910/eda-appendix", "kernel_id": "49856284"}, {"ref": "zacharyluscher/mill-gold-process-flows", "kernel_id": "49125347"}, {"ref": "lonnieqin/getting-started-with-pytorch", "kernel_id": "49000295"}, {"ref": "kengofujii/titanic-sample", "kernel_id": "49863619"}, {"ref": "marcogtt/titanic-dataset-sklearn-pipeline", "kernel_id": "49871460"}, {"ref": "marcogtt/titanic-competition-classifier-comparison", "kernel_id": "49941263"}, {"ref": "marcogtt/titanic-dataset-dealing-with-missing-values", "kernel_id": "49841833"}, {"ref": "towhidultonmoy/tabular-data-beginner-s-ml-kickoff-notebook", "kernel_id": "49189080"}, {"ref": "dimplemandanee/titanicsurvivalprediction", "kernel_id": "49549876"}, {"ref": "minoii/notebookb52246cb65", "kernel_id": "49188709"}, {"ref": "arlle26/a-simple-pytorch-example-with-titanic", "kernel_id": "49567068"}, {"ref": "syedmuhammadahmed/titanic-dataset-code", "kernel_id": "49036196"}, {"ref": "seungwanhong/titanic-disaster-eda-dl-ml-with-gpu", "kernel_id": "49728241"}, {"ref": "chrisim/dive-into-titanic", "kernel_id": "49905203"}, {"ref": "saifuddinrakib/titanic-machine-learning", "kernel_id": "49153486"}, {"ref": "napolendevesa/titanic-test", "kernel_id": "49284267"}, {"ref": "napolendevesa/titanicdashboard", "kernel_id": "49597934"}, {"ref": "tanatmetmaolee/titanic-jan-2024", "kernel_id": "49091293"}, {"ref": "mrkaspro/titanic-catboost-scikit-learn", "kernel_id": "49371099"}, {"ref": "naveenreddy9182/basic-eda", "kernel_id": "49093561"}, {"ref": "machimochi/notebookda14fa2e5a", "kernel_id": "49765728"}, {"ref": "nickuzmenkov/mentoring-titanic", "kernel_id": "49865356"}, {"ref": "phrbmr/titanic-competition", "kernel_id": "49417752"}, {"ref": "asadfarooqi/exercise-arithmetic-and-variables", "kernel_id": "49447115"}, {"ref": "asadfarooqi/getting-started-with-titanic", "kernel_id": "49403532"}, {"ref": "clusterknot/getting-started-with-kaggle-titanic-competition", "kernel_id": "49789860"}, {"ref": "komalasoares/titanic-data-classifier", "kernel_id": "49513467"}, {"ref": "renil28/titanic-prediction", "kernel_id": "49944172"}, {"ref": "barsegyanvasil/fork-of-titanic-urfu-final", "kernel_id": "49658725"}, {"ref": "naimish07/titanic-dataset", "kernel_id": "49729442"}, {"ref": "charanraju777/titanic-survival-prediction-0-777", "kernel_id": "49816288"}, {"ref": "nikhilreddy90/titanic", "kernel_id": "49042371"}, {"ref": "fathyalin/titanic-starter-notebook", "kernel_id": "49403199"}, {"ref": "ninagnes/starting-with-titanic", "kernel_id": "49687821"}, {"ref": "yashkumarpanjwani/notebooke950b2cdba", "kernel_id": "49989125"}, {"ref": "danielalopes97/titanic-with-xgboost-knn-svm-naive-bayes-h2o", "kernel_id": "49641407"}, {"ref": "mgm9196/titanic-dma-fin-submission", "kernel_id": "49903091"}, {"ref": "kamalapousajja/titanic-survival-prediction-top4-score-0-8062", "kernel_id": "49933886"}, {"ref": "yuushii/machine-learning", "kernel_id": "49351727"}, {"ref": "tokatci/korayy-titanic-eda", "kernel_id": "49867303"}, {"ref": "shuepat/titanic-kaggle", "kernel_id": "49895159"}, {"ref": "anamikakumari456/titanic-machinelearning-from-disaster", "kernel_id": "49242326"}, {"ref": "djamilaazouane/titanic-tutorial", "kernel_id": "49395208"}, {"ref": "suhaibmukhtar/titanic-dataset-challenge", "kernel_id": "49802039"}, {"ref": "malakabdelbaki/titanic-survival-predictions", "kernel_id": "49929198"}, {"ref": "irtazaalii/notebookd0742aafa6", "kernel_id": "49636357"}, {"ref": "irtazaalii/titanic", "kernel_id": "49634866"}, {"ref": "juliacherepanova/titanic", "kernel_id": "49642033"}, {"ref": "pranav28/titanic", "kernel_id": "49788535"}, {"ref": "pranav28/titanic-competition", "kernel_id": "49782297"}, {"ref": "abyssskb/ensemble-model-with-optuna", "kernel_id": "49568349"}, {"ref": "alaaelnakeeb/titanic-using-lazy-predict", "kernel_id": "49744830"}, {"ref": "zainhaidar/titanic-random-forest-classifier", "kernel_id": "49489075"}, {"ref": "dhruvlotia/titanicnotebook", "kernel_id": "49727664"}, {"ref": "aitchessbee/notebook2982218afb", "kernel_id": "49677730"}, {"ref": "ahmedosama2132/titanic-eda-and-prediction", "kernel_id": "49004871"}, {"ref": "elvland/titanic-ml", "kernel_id": "49942031"}, {"ref": "vietlefromvn/first-machine-learning-project", "kernel_id": "49050390"}, {"ref": "jambaldorjoyundari/titanic-random-forest-base-model", "kernel_id": "49927867"}, {"ref": "erdenebatbatbayar/1-25-erdenebat", "kernel_id": "49955200"}, {"ref": "abilaashrajesh/titanic-machine-learning", "kernel_id": "49133276"}, {"ref": "gennadiimanzhos/titanic-best-results-95-w-features-engineering", "kernel_id": "49059342"}, {"ref": "yashasgarg/titanic", "kernel_id": "49459708"}, {"ref": "ahmetmetinn/titanic-xgboost-model-0-82", "kernel_id": "49280540"}, {"ref": "ash7tae/notebookbc3e23039a", "kernel_id": "49974779"}, {"ref": "rrishi23/titanic-dataset-ensemble-79-2-top-8", "kernel_id": "49362840"}, {"ref": "virajhemantha/titanic-prediction", "kernel_id": "49144237"}, {"ref": "preetam009/titanic-classification-xgb", "kernel_id": "49260913"}, {"ref": "naveensadanandan/titanic-survival-eda", "kernel_id": "49151447"}, {"ref": "cssiolanna/getting-started-with-titanic", "kernel_id": "49574930"}, {"ref": "maretismoyo/final-competition-titanic-mlfromdisaster", "kernel_id": "49396410"}, {"ref": "cruzangel/titanic-competition", "kernel_id": "49287317"}, {"ref": "aaron95629/titanic-tutorial-for-beginners", "kernel_id": "49264094"}, {"ref": "aaron95629/titanic-v1", "kernel_id": "49156956"}, {"ref": "odbayar/1-24titanic", "kernel_id": "49955198"}, {"ref": "gamarsaihan/contest-draft", "kernel_id": "49955195"}, {"ref": "denisemtatih/exercise-arithmetic-and-variables", "kernel_id": "49888741"}, {"ref": "parth904/preprocessing", "kernel_id": "49740445"}, {"ref": "devendrasingh22/titanic", "kernel_id": "49560975"}, {"ref": "lisawoodard/getting-started-with-titanic", "kernel_id": "49705149"}, {"ref": "thohoanganhbui/exercise-arithmetic-and-variables", "kernel_id": "49138089"}, {"ref": "cnezhmar/titanic-ml-train-99-val-84-4-testpred-82-54", "kernel_id": "49462834"}, {"ref": "hardikgarg03/titanic-using-random-forest", "kernel_id": "49753079"}, {"ref": "thedeveshsoni/adl-1-practical", "kernel_id": "49088861"}, {"ref": "krishnakantpal127/titanic-survivor-predictions", "kernel_id": "49151192"}, {"ref": "nithishnio/notebook3448afe502", "kernel_id": "49818036"}, {"ref": "shubhamjariwala/titanic-survival-prediction", "kernel_id": "49626624"}, {"ref": "anacoporan/notebookefef249c24", "kernel_id": "49602590"}, {"ref": "mohanpradhan42/titanic", "kernel_id": "49384904"}, {"ref": "abdelrahmanhesham101/titanic-1", "kernel_id": "49882943"}, {"ref": "gabrielcabas/titanic-predictions", "kernel_id": "49599646"}, {"ref": "vanshtickoo1234/titanicchallenge", "kernel_id": "49778697"}, {"ref": "kevinw7/kw-titanic-v01", "kernel_id": "49797923"}, {"ref": "kevinw7/kw-titanic-submission", "kernel_id": "49907856"}, {"ref": "o2ka03/titanic-prediction", "kernel_id": "49446254"}, {"ref": "ayshamohammedasif/titanic-v01", "kernel_id": "49805047"}, {"ref": "juanpablolagos/titanic-logistic-regression-model", "kernel_id": "49673646"}, {"ref": "yessicatuteja/titanic-eda-and-gradient-boosting", "kernel_id": "49580596"}, {"ref": "yessicatuteja/bank-churn-classification-with-neural-network", "kernel_id": "49874013"}, {"ref": "anubhavsood/titanic", "kernel_id": "49799325"}, {"ref": "garguday67/fork-of-titanic-bigginner", "kernel_id": "49577966"}, {"ref": "garguday67/titanic-bigginner", "kernel_id": "49459093"}, {"ref": "vladimirtrifunovic/vt-titanic-v01", "kernel_id": "49906768"}, {"ref": "leilahasan/titanic-competition", "kernel_id": "49595930"}, {"ref": "titan22903/nirma-dl-titanic", "kernel_id": "49301298"}, {"ref": "kartikkumaria/spaceship-titanic", "kernel_id": "49575199"}, {"ref": "chetanaggarwal01/notebook09cda8c957", "kernel_id": "49592642"}, {"ref": "shivambhardwaj6969/titanic-ml-shivaam", "kernel_id": "49592650"}, {"ref": "naveenkumarravella/naveen-kumar-ravella-titanic-v01", "kernel_id": "49793082"}, {"ref": "sturarods/titanic-suvived-prediction-lr-knn-dt-rf-svm", "kernel_id": "49009425"}, {"ref": "arnavsharma45/arithmetic-and-variables", "kernel_id": "49502449"}, {"ref": "rdoabnoit/probability-set-model-on-wine-quality", "kernel_id": "49394457"}, {"ref": "anannoasif/titanic-survival-using-autogluon", "kernel_id": "49390612"}, {"ref": "upeshjeengar/pandas", "kernel_id": "49449935"}, {"ref": "satyajeetbedi/titanic-notebook", "kernel_id": "49754319"}, {"ref": "mannatsadana/ttanic-ml-logistics", "kernel_id": "49562933"}, {"ref": "aestroe/titanic-problem", "kernel_id": "49525734"}, {"ref": "tarushirastogi/titanic-1", "kernel_id": "49781684"}, {"ref": "imytdotio/data-imputation-basic-titanic-rf-xgb", "kernel_id": "49103300"}, {"ref": "akshita0560/titanic-ml", "kernel_id": "49776052"}, {"ref": "iulianroman/titanic-prediction", "kernel_id": "49269470"}, {"ref": "guillemfr/titanic-baseline", "kernel_id": "49420162"}, {"ref": "sanjusrivatsa9/sai-srivatsa-thangallapelly-titanic-v01-68cb14", "kernel_id": "49813410"}, {"ref": "kabeerahmed/exercise-arithmetic-and-variables", "kernel_id": "49561382"}, {"ref": "sameenamujawar/sm-titanic", "kernel_id": "49714991"}, {"ref": "qubebox/titanic-gradientboostingclassifier", "kernel_id": "49143229"}, {"ref": "qubebox/titanic-competition", "kernel_id": "49142194"}, {"ref": "chaitanyasood1/titanic-machine-learning-from-disaster1", "kernel_id": "49796898"}, {"ref": "apolloskingdom/apollos-kingdom", "kernel_id": "49050479"}, {"ref": "khushimittal27/titanic-machine-learning-from-disaster", "kernel_id": "49538612"}, {"ref": "jasrehmatkaur/ramen-titanic", "kernel_id": "49587790"}, {"ref": "chiragmohangupta/titanic-survivors-prediction", "kernel_id": "49747986"}, {"ref": "anupriyasachan/base-model", "kernel_id": "49203745"}, {"ref": "devibolla/db-titanic1-submission-v01", "kernel_id": "49671905"}, {"ref": "shacodes/tensorflow", "kernel_id": "49247645"}, {"ref": "zeeshanyounas001/titanic-dataset-analysis", "kernel_id": "49799327"}, {"ref": "mdshariaremonshaikat/titanic-people-survive-prediction", "kernel_id": "49229669"}, {"ref": "shivarthgangurde/notebook504cb779e8", "kernel_id": "49132246"}, {"ref": "danterosas/titanic-prediction-model", "kernel_id": "49944208"}, {"ref": "danielphys/predicci-n-sobrevivientes-titanic", "kernel_id": "49639626"}, {"ref": "davidmarcmanuel/titanic-prediction-model", "kernel_id": "49174585"}, {"ref": "kavyas21itr052/titanic-dataset", "kernel_id": "49359673"}, {"ref": "kavyas21itr052/titanic-neural-network", "kernel_id": "49359927"}, {"ref": "sundayabraham/titanic-from-desaster", "kernel_id": "49730447"}, {"ref": "semihocakli/cookieai-titanik-eda", "kernel_id": "49882287"}, {"ref": "jamhadbyers/getting-started-with-titanic", "kernel_id": "49176152"}, {"ref": "devingent/titanic-competition", "kernel_id": "49892836"}, {"ref": "afzalahmed786/data-dash", "kernel_id": "49740591"}, {"ref": "chnabil/titanic", "kernel_id": "49807429"}, {"ref": "simarjitkaur123/titanic-ml", "kernel_id": "49475958"}, {"ref": "jahnavinischal/titanic-survived-prediction", "kernel_id": "49049299"}, {"ref": "salonijaroli/titanic", "kernel_id": "49571747"}, {"ref": "mariushinsberger/titanic-first-approaches", "kernel_id": "49989821"}, {"ref": "massimocaramanna/getting-started-with-titanic", "kernel_id": "49589765"}, {"ref": "brunn00/titanic-02", "kernel_id": "49546625"}, {"ref": "jeffhan2/using-random-forest-to-spoil-the-movie-titanic", "kernel_id": "49953553"}, {"ref": "gamablobyt/titanic-predict", "kernel_id": "49837942"}, {"ref": "alirafazi/predictive-modeling-with-knn-82-result", "kernel_id": "49413709"}, {"ref": "praneethtiger/basic-ml-classifiers-titanic-data", "kernel_id": "49612596"}, {"ref": "ramakshabirajdar/dl-ml-titanic-compitition", "kernel_id": "49781216"}, {"ref": "maksudaakter01/titanic", "kernel_id": "49642155"}, {"ref": "barrywelford/titanic", "kernel_id": "49719893"}, {"ref": "akhtaralvi/titanic-16-01-2024", "kernel_id": "49540358"}, {"ref": "shatakshi9779/titanic", "kernel_id": "49977827"}, {"ref": "sardorwwe/titanic-valid", "kernel_id": "49200797"}, {"ref": "aryangupta30/titanic-machine-learning-from-disaster", "kernel_id": "49569706"}, {"ref": "aryangupta30/titanic-ml-from-disaster-best-solution", "kernel_id": "49729598"}, {"ref": "harshithakush/titanic-survival", "kernel_id": "49095286"}, {"ref": "whitedevil4648/neural-networks-titanic", "kernel_id": "49168043"}, {"ref": "sibasundarmanik/columntrasformer", "kernel_id": "49018035"}, {"ref": "neelakshigupta/titanic-ml", "kernel_id": "49788266"}, {"ref": "mrshah01/practical-01-dl", "kernel_id": "49301191"}, {"ref": "danielmbuchberger/07-2-logisitc-reg-self", "kernel_id": "49266119"}, {"ref": "praneykalra/titanic", "kernel_id": "49400524"}, {"ref": "ivgusev/titanic-solution-0-8", "kernel_id": "49368927"}, {"ref": "kirtigupta25/survival-knn", "kernel_id": "49531426"}, {"ref": "hrsvrn/titanic-prediction-hrsvrn", "kernel_id": "49324802"}, {"ref": "martinkolda/machine-learning-from-disaster-using-svc", "kernel_id": "49462129"}, {"ref": "jatinthakur706/titanic-tut-using-rf-classifier", "kernel_id": "49560070"}, {"ref": "ashlenmammen/titanic-dataset-eda", "kernel_id": "49203817"}, {"ref": "palak98039/titanic", "kernel_id": "49258424"}, {"ref": "kushagrekaushik/titanic-ml", "kernel_id": "49393584"}, {"ref": "ankit1743/titanic-eda-for-better-predictions", "kernel_id": "49514281"}, {"ref": "krishuppal/titanic", "kernel_id": "49514096"}, {"ref": "kunal025/notebook4bbbfc4914", "kernel_id": "49516035"}, {"ref": "shresthapundir/titanic-machine-learning-from-disaster", "kernel_id": "49749212"}, {"ref": "gurkamalsinghbrar/mytitanic", "kernel_id": "49793446"}, {"ref": "graceveraa/titanic-machine-learning-from-disaster", "kernel_id": "49582949"}, {"ref": "hassaneskikri/titanic-v2-using-lazyclassifier", "kernel_id": "49660290"}, {"ref": "joyygoswami/titanic-random-forest", "kernel_id": "49568620"}, {"ref": "joyygoswami/titanic-machine-learning-from-disaster", "kernel_id": "49361351"}, {"ref": "ahmedgamelwaly/titanic-prediction-using-logistic-regression", "kernel_id": "49468832"}, {"ref": "garima0001/titanic", "kernel_id": "49735926"}, {"ref": "yashpuri1912/titanic-baseline", "kernel_id": "49418124"}, {"ref": "shivamvermathapar/titanic", "kernel_id": "49559660"}, {"ref": "jasmeet0516/titanic-tutorial", "kernel_id": "49584833"}, {"ref": "wannakarunauthong/titanic-project", "kernel_id": "49828517"}, {"ref": "sachinsushilsingh/titanic", "kernel_id": "49635732"}, {"ref": "himanshu230/notebookfa7e4bae15", "kernel_id": "49514872"}, {"ref": "rejroky/ml-titanic", "kernel_id": "49827360"}, {"ref": "ahmedyoussefff/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "49369997"}, {"ref": "mayankgupta9/notebook7e27fde372", "kernel_id": "49534411"}, {"ref": "chhavideora11/notebook-frst", "kernel_id": "49577872"}, {"ref": "chhavideora11/hello-kaggle", "kernel_id": "49578261"}, {"ref": "kanishhkaa/notebookfcc4ca2ff6", "kernel_id": "49794426"}, {"ref": "machiavellianthought/1-titanic", "kernel_id": "49154467"}, {"ref": "enkhmendd/1-24-titanic", "kernel_id": "49955247"}, {"ref": "raihanatsalh/titanic-xgb", "kernel_id": "49387737"}, {"ref": "middlehigh/titanic-data-analysis", "kernel_id": "49178466"}, {"ref": "nithish02sv/titanic", "kernel_id": "49615277"}, {"ref": "seinkilel/titanic-voting-classifier", "kernel_id": "49784200"}, {"ref": "aritrasarkar03/notebook2ec440c5c5", "kernel_id": "49888323"}, {"ref": "aritrasarkar03/notebook36be4fae82", "kernel_id": "49889222"}, {"ref": "aritrasarkar03/notebook48e409c7ad", "kernel_id": "49889809"}, {"ref": "aayushsharmacse/titanic-with-explainations", "kernel_id": "49990898"}, {"ref": "mhsn21/titanic-competition", "kernel_id": "49453399"}, {"ref": "dhruvgarg1010/notebook37546f9cea", "kernel_id": "49592646"}, {"ref": "shaurya0311/titanic-prediction", "kernel_id": "49815804"}, {"ref": "adityav32/didusurvive", "kernel_id": "49539475"}, {"ref": "yeowonn/titanic-sol-2", "kernel_id": "49864210"}, {"ref": "yeowonn/titanic-sol-1", "kernel_id": "49744115"}, {"ref": "sahoodebasish/titanic-survival-prediction-eda-rf-ensemble", "kernel_id": "49474567"}, {"ref": "swasti19/notebook01c93eb2f7", "kernel_id": "49143045"}, {"ref": "khaledmofa/test1", "kernel_id": "49076650"}, {"ref": "bhavyagoyal867/titanic", "kernel_id": "49585597"}, {"ref": "asupreethgupta/titanic-extra-trees", "kernel_id": "49300092"}, {"ref": "sadeqsoltani22/classic-titanic", "kernel_id": "49878723"}, {"ref": "luckyjin1995/titanic", "kernel_id": "49140156"}, {"ref": "badavathnaveen/titanic-mlp-dropout", "kernel_id": "49865950"}, {"ref": "mamunr01/power-transformer-box-cox-transform-yeo-jo", "kernel_id": "49239468"}, {"ref": "luryandelevati/titanotebook-rforest7988", "kernel_id": "49405292"}, {"ref": "avanishmeed/feature-selection-explained-rfecv", "kernel_id": "49158427"}, {"ref": "samirnadra/titanic-competition-score-0-77751", "kernel_id": "49195767"}, {"ref": "liaustin/titanic", "kernel_id": "49722469"}, {"ref": "twinfinnnnn/practice-1-titanic", "kernel_id": "49554048"}, {"ref": "ayobamieniolaagboola/titanic-predict", "kernel_id": "49010489"}, {"ref": "tanyamak/titanic", "kernel_id": "49221977"}, {"ref": "tsunghaochen/getting-started-with-titanic-tc", "kernel_id": "49280969"}, {"ref": "escape2free/titanic-prediction-eda-logistic-regression", "kernel_id": "49750287"}, {"ref": "escape2free/titanic-eda-lr-dt-rf-gbt", "kernel_id": "49756928"}, {"ref": "esotoca/85-randomforest-pour-la-classification-des-pass", "kernel_id": "49991447"}, {"ref": "noevazquez/titanic-data-cleaning", "kernel_id": "49892016"}, {"ref": "wanana20/titanic-ensemble-top-8-score", "kernel_id": "49013197"}, {"ref": "yorkyong/logistic-regression-in-action-titanic-survival", "kernel_id": "49857331"}, {"ref": "ibragimovuzoqmurod/titank1214", "kernel_id": "49048025"}, {"ref": "ibrahimahmed26/deep-dive-into-titanic-ml-chronicles", "kernel_id": "49612290"}, {"ref": "pasqualecasciano/titanic-dataset-neural-network-approach", "kernel_id": "49796755"}, {"ref": "petarjovic/fork-of-balkanskihaker-titanic", "kernel_id": "49951875"}, {"ref": "khushiattri/titanic-survivor-predictor", "kernel_id": "49587835"}, {"ref": "seamusbarnes/titanic-advanced-feature-engineering-tutorial", "kernel_id": "49406078"}, {"ref": "mayssabenfekih/titanic", "kernel_id": "49755128"}, {"ref": "joelbansal/notebookb53ae6da95", "kernel_id": "49082221"}, {"ref": "joelbansal/titanik", "kernel_id": "49081929"}, {"ref": "ondi1989/aa-titanic-v01", "kernel_id": "49758927"}, {"ref": "ondi1989/aa-titanic-submission", "kernel_id": "49801952"}, {"ref": "timlee888/fastai-tabular-learner", "kernel_id": "49598712"}, {"ref": "yanshiai/imputation-techniques-1", "kernel_id": "49091085"}, {"ref": "hassaannaushad/titanic-code", "kernel_id": "49888303"}, {"ref": "mirfayzirgashevdku/titanicprediction", "kernel_id": "49035908"}, {"ref": "gioeleb00/titanic-from-eda-to-predictions-top-20", "kernel_id": "49981251"}, {"ref": "rukaiyakhatoon/kernel-rukaiya-titanic-age", "kernel_id": "49581550"}, {"ref": "rukaiyakhatoon/kernel-class-titanic", "kernel_id": "49632448"}, {"ref": "rukaiyakhatoon/kernel-titanic-rukaiya", "kernel_id": "49529278"}, {"ref": "thienbao1909/titanic", "kernel_id": "49873056"}, {"ref": "fumihikotanaka/2024-01-22-kaggle-homework", "kernel_id": "49811213"}, {"ref": "nozomutakenaka/chapter1", "kernel_id": "49867653"}, {"ref": "akihiroyoshioka/titanic-hypothesis-verification-task", "kernel_id": "49616781"}, {"ref": "reemasolan/filter-based-feature-selection-chi-square", "kernel_id": "49718246"}, {"ref": "reemasolan/human-activity-recognition-feature-selection", "kernel_id": "49714873"}, {"ref": "reemasolan/case-study-clt-on-titanic-dataset", "kernel_id": "49437269"}, {"ref": "reemasolan/hypothesis-testing", "kernel_id": "49488778"}, {"ref": "reemasolan/ht-independent-two-sample-t-test", "kernel_id": "49489721"}, {"ref": "lohawiman/titanic-novel-approach", "kernel_id": "49535760"}, {"ref": "lohawiman/titanic", "kernel_id": "49536045"}, {"ref": "kentafukui/20240118-titanic-eda", "kernel_id": "49629487"}, {"ref": "daijobuai/fastai-course-lesson-3-exercises", "kernel_id": "49049784"}, {"ref": "oliviagarcia2/notebook5147e7e3fc", "kernel_id": "49923788"}, {"ref": "jandr0/titanic-praca", "kernel_id": "49576822"}, {"ref": "ritikaxg/titanic-disaster", "kernel_id": "49781846"}, {"ref": "ritikaxg/titanic-survival", "kernel_id": "49875013"}, {"ref": "jayyanamandala/neural-networks-deep-learning-hyperparameters-sear", "kernel_id": "49392295"}, {"ref": "ryousukekono/titanic-homework1", "kernel_id": "49680978"}, {"ref": "enfelmham/notebookaa47e95c9c", "kernel_id": "49119578"}, {"ref": "benjaminlimcy/titanic-competition-using-random-forest", "kernel_id": "49502777"}, {"ref": "gourabr0y555/titanic-tried-adding-some-improvements", "kernel_id": "49740671"}, {"ref": "adilagagagah/titanic-prediction-model", "kernel_id": "49973152"}, {"ref": "ramisashararnidhi/titanic-machine-learning-from-disaster", "kernel_id": "49224255"}, {"ref": "ghadaalabdullah/titanic-competition", "kernel_id": "49017352"}, {"ref": "masarusato/ase-step1-titanic-eda", "kernel_id": "49813704"}, {"ref": "gvivasmateos/first-competition-titanic-survival-preditor", "kernel_id": "49145912"}, {"ref": "vermalisa11/notebookc1b6a58970", "kernel_id": "49031264"}, {"ref": "mathieubathalon/titanic-tutorial", "kernel_id": "49019870"}, {"ref": "iitkconsultinggroup/kaggle-competition-demo", "kernel_id": "49086116"}, {"ref": "matshajime/kaggle-tutorial-05-pytorch-nn-old", "kernel_id": "49135262"}, {"ref": "adrianasalcedo/titanic-dataset", "kernel_id": "49541557"}, {"ref": "chinmayeegoyal/titanic", "kernel_id": "49588413"}, {"ref": "prachik2/titanic-simple-code-random-forest", "kernel_id": "49686051"}, {"ref": "ishanmathurkaggle28/titanic-problem-beginner-friendly", "kernel_id": "49578828"}, {"ref": "aleksaneskovicrs/random-forest-titanic-prediction", "kernel_id": "49315140"}, {"ref": "xcrash/titanic-data-analytic", "kernel_id": "49833883"}, {"ref": "irakozekelly/getting-started-with-titanic", "kernel_id": "49198606"}, {"ref": "hrothgarsminitrious/the-edmund-fitzgerald-titanic", "kernel_id": "49166136"}, {"ref": "jemschawin/titanic-dataset-machine-learning-from-disaster", "kernel_id": "49688046"}, {"ref": "hrshpreet/titanic-t", "kernel_id": "49142509"}, {"ref": "samarjeetsinghgandhi/titanic-machine-learning-from-disaster", "kernel_id": "49518479"}, {"ref": "noahpoulsen/titan", "kernel_id": "49198457"}, {"ref": "qianjunyang/titanic", "kernel_id": "49498584"}, {"ref": "shrey51ml/titanic-survival-model", "kernel_id": "49265206"}, {"ref": "onamikasorkerritu/titanic", "kernel_id": "49646726"}, {"ref": "zarintasnimelma/titanic-machine-learning", "kernel_id": "49320540"}, {"ref": "yujansaya/titanic-crystal-ball-to-live-or-not-to-live", "kernel_id": "49583539"}, {"ref": "akanemiyata/titanic-works", "kernel_id": "49858393"}, {"ref": "namishjindal4/titanic-machine-learning-from-disaster", "kernel_id": "49744997"}, {"ref": "nishthakumari20/titanic-machine-learning-from-disaster", "kernel_id": "49408825"}, {"ref": "sirishasingla1906/titanic", "kernel_id": "49258875"}, {"ref": "kobooo/best-selling-books", "kernel_id": "49884131"}, {"ref": "tarndeepsingh16/titanic-machine-learning-from-disaster", "kernel_id": "49589129"}, {"ref": "imran2501/notebook7f0d7d872d", "kernel_id": "49505639"}, {"ref": "kacperkadziolka/titanic-ml-competition", "kernel_id": "49544728"}, {"ref": "syedmuneeb1/hustle1", "kernel_id": "49312618"}, {"ref": "syedmuneeb1/second1", "kernel_id": "49314454"}, {"ref": "mutsuhito/my-first-titanic", "kernel_id": "49389806"}, {"ref": "ahmad40152/classification", "kernel_id": "49709880"}, {"ref": "peliseev/titanic-prediction-w-logistic-regression", "kernel_id": "49519777"}, {"ref": "neaall/osiris", "kernel_id": "49864333"}, {"ref": "omotohiroki/chapter1", "kernel_id": "49670554"}, {"ref": "kaurneetlove/notebook503083b164", "kernel_id": "49585501"}, {"ref": "chaitanya2605/notebook575fd160ca", "kernel_id": "49709977"}, {"ref": "akankshatomar/notebook824f2b69a8", "kernel_id": "49716674"}, {"ref": "tolikpr/titanic", "kernel_id": "49572910"}, {"ref": "hwisolee/titanic-tutorial-for-beginners-2020", "kernel_id": "49585019"}, {"ref": "parthvashish/notebookd855f6b3df", "kernel_id": "49795308"}, {"ref": "jendoll/titanic-w-explanation", "kernel_id": "49850070"}, {"ref": "yatinkundra666/titanic-kaggle-problem", "kernel_id": "49790077"}, {"ref": "ambrustorok/titanic", "kernel_id": "49642862"}, {"ref": "parvez0khan/titanic-ml-pridiction", "kernel_id": "49814721"}, {"ref": "michaelhoelzer/mwh-titanic-submission", "kernel_id": "49758993"}, {"ref": "michaelhoelzer/mwh-titanic-v01", "kernel_id": "49758899"}, {"ref": "candidoalefe/titanic-tutorial", "kernel_id": "49741725"}, {"ref": "ayushchauhan17/notebookaee7549d4b", "kernel_id": "49769954"}, {"ref": "extoncs2/titanic-ml-from-disaster-using-random-forest", "kernel_id": "49774336"}, {"ref": "liayeoni/data-analysis-titanic-disaster", "kernel_id": "49972071"}, {"ref": "shashipreethamp/shashi-preetham-p-titanic-v01", "kernel_id": "49814204"}, {"ref": "gajjalainsights/titanic-notebook", "kernel_id": "49871684"}, {"ref": "harshayerradla/harsha-vardhan-reddy-yerradla-titanic-v01", "kernel_id": "49842573"}, {"ref": "robertinopili/titanic-random-forest", "kernel_id": "49881317"}, {"ref": "zeebdee/homework1titanic", "kernel_id": "49855840"}, {"ref": "lwtbkaggle/getting-started-with-titanic", "kernel_id": "49955539"}, {"ref": "lestep/notebook47e68729ee", "kernel_id": "49957045"}, {"ref": "latebloomer/titanic-hello-world", "kernel_id": "50552296"}, {"ref": "glebmikh/titanic-eda-pandas-assignment-solution", "kernel_id": "50810424"}, {"ref": "glebmikh/ds90-titanic", "kernel_id": "50733719"}, {"ref": "venkateswaranm/titanic-venkateswaran-mahadeva", "kernel_id": "50743338"}, {"ref": "alexkhoe/titanic-tutorial", "kernel_id": "50297451"}, {"ref": "aspillai/titanic-neural-network-with-category-encoding", "kernel_id": "50140471"}, {"ref": "nnjjpp/ensemble-classifier-class", "kernel_id": "50854934"}, {"ref": "udaheju/notebook6133f34793", "kernel_id": "50488064"}, {"ref": "vinitkp/tips-to-save-ram-memory-for-1-gb-dataset", "kernel_id": "50086530"}, {"ref": "angc1998/wwcode-emerging-tech-week-3-challenge-titanic", "kernel_id": "50270473"}, {"ref": "nanokebab/getting-started-with-titanic-by-nanokebab", "kernel_id": "50379862"}, {"ref": "sgiuri/ai-ds-titanic-exercice", "kernel_id": "50961231"}, {"ref": "annastasy/titanic-eda-data-cleaning-and-lgbm-classifier", "kernel_id": "50958218"}, {"ref": "nambiarsidharth/titanic-dataset-decision-tree-classifier", "kernel_id": "50664612"}, {"ref": "bimsarapathiraja/titanic-data-science-solutions-hw2", "kernel_id": "50182434"}, {"ref": "aayushsin7a/titanic-machine-learning-from-disaster", "kernel_id": "50549993"}, {"ref": "nnmsdelyta/a-complete-pandas-tutorial", "kernel_id": "50696279"}, {"ref": "namdong/titanic-with-feature-engineering", "kernel_id": "50351704"}, {"ref": "minjungsung/exercise-arithmetic-and-variables", "kernel_id": "50270131"}, {"ref": "icaronogueira/titanic-survival-prediction", "kernel_id": "50565358"}, {"ref": "ramsesmdlc/random-forest-titanic", "kernel_id": "50270122"}, {"ref": "deeprodge/titanic-dm-homework-1", "kernel_id": "50184348"}, {"ref": "andrelebrao/learning-deep-neural-nets-with-titanic", "kernel_id": "50382927"}, {"ref": "samyakb/optimizing-gradient-boosting-algos", "kernel_id": "50820768"}, {"ref": "thomasmeiner/titanic-eda-feature-engineering-modelling", "kernel_id": "50584279"}, {"ref": "jawadbenali/tiitanic", "kernel_id": "50266308"}, {"ref": "addictedtolearning/save-titanic", "kernel_id": "50291610"}, {"ref": "guedes5132/titanic-pytorch-nn-and-machine-learning", "kernel_id": "50280323"}, {"ref": "bbqmaster/notebookf06a2264fc", "kernel_id": "50259039"}, {"ref": "appliedailab/gulustan-titanic", "kernel_id": "50834346"}, {"ref": "mdladla/titanic-survival-prediction-logisticregression", "kernel_id": "50874503"}, {"ref": "khushisabarad/getting-started-with-titanic", "kernel_id": "50596427"}, {"ref": "mahendra301/titanic-survival-prediction", "kernel_id": "50511218"}, {"ref": "ashraykothari/titanic-data-science-solutions-ashray", "kernel_id": "50194485"}, {"ref": "ayaabdalsalam/titanic-analysis", "kernel_id": "50446512"}, {"ref": "judith127/titanic-machine-learning-model", "kernel_id": "50369373"}, {"ref": "kamalapousajja/titanic-with-keras-neural-network", "kernel_id": "50017097"}, {"ref": "rushil999/titanic-dataset", "kernel_id": "50089963"}, {"ref": "dhruvilgorasiya/titanic-data-science-solutions", "kernel_id": "50129021"}, {"ref": "hosseinrostami128/titanic-prediction", "kernel_id": "50979509"}, {"ref": "mahsatorabi212/titanic-prediction", "kernel_id": "50101286"}, {"ref": "temiloluwapikuda/titanic-survivor-random-forest-classifier", "kernel_id": "50140605"}, {"ref": "ndisan/titanic-survival-prediction-xgboost", "kernel_id": "50926544"}, {"ref": "anmolgulwani/a-journey-through-titanic", "kernel_id": "50982854"}, {"ref": "damiangruszecki/titanic", "kernel_id": "50919352"}, {"ref": "manoharali/titanic-eda-rf-gbt-bc-lr-top4-acc-82", "kernel_id": "50247108"}, {"ref": "jehyeokyeon/ml-homework-c366e1", "kernel_id": "50848074"}, {"ref": "saksornh/fork-of-demo4u-superaiss4", "kernel_id": "50061317"}, {"ref": "renshaokun/titanictest", "kernel_id": "50129425"}, {"ref": "jessicadunn/titanic-mics-gwc", "kernel_id": "50125472"}, {"ref": "bonsoularani/titanic-tutorial", "kernel_id": "50657579"}, {"ref": "shivam0105/cse-572-hw1-shivamhasmukhpanchal", "kernel_id": "50129012"}, {"ref": "abhisheksriwastav/titanic", "kernel_id": "50136935"}, {"ref": "josflorentinoramos/consiguiendo-comenzar-con-titanic", "kernel_id": "50990518"}, {"ref": "datacian/titanic", "kernel_id": "50101830"}, {"ref": "ahsanramadhan/titanic-case-with-logistic-regression", "kernel_id": "50972474"}, {"ref": "igbiajiri/exercise-arithmetic-and-variables", "kernel_id": "50469525"}, {"ref": "nicomt/titanic-sklearn-model", "kernel_id": "50928846"}, {"ref": "mannatpruthi/titanic-machine-learning-from-disaster", "kernel_id": "50974246"}, {"ref": "moezkloula/randomforestv1", "kernel_id": "50858759"}, {"ref": "moezkloula/randomforest-with-tuning-hyperparameters", "kernel_id": "50643366"}, {"ref": "minhyeok10/titanic-starter-korean-comment-included", "kernel_id": "50156997"}, {"ref": "moraledaj/titanic-rmarkdown-jlmn-accuracy-84-auc-87", "kernel_id": "50475611"}, {"ref": "nilsvos/notebook6ad3a48567", "kernel_id": "50717049"}, {"ref": "kittison/problem-1-coding-deep-learning-neural-net-from", "kernel_id": "50245417"}, {"ref": "kulisarawiangin/linear-model-and-neural-net-from-scratch", "kernel_id": "50244069"}, {"ref": "sherifkhaledosman/titanic-xgbclassifier-accuracy-99-7", "kernel_id": "50292930"}, {"ref": "totoxmaryanto/titanic-competition-with-xgboost", "kernel_id": "50580570"}, {"ref": "rudolphisbliss/titanic-binary-classification", "kernel_id": "50230312"}, {"ref": "jambaldorjoyundari/titanic", "kernel_id": "50296351"}, {"ref": "chanchal24/house-prices-prediction-detailed-eda-10-model", "kernel_id": "50709174"}, {"ref": "gregersjger/fork-of-gregers-titanicml-portfolio-1", "kernel_id": "50314527"}, {"ref": "sgarimann/titanic-submission", "kernel_id": "50954963"}, {"ref": "jjkrasnick/exercise-arithmetic-and-variables", "kernel_id": "50388011"}, {"ref": "kyukio/kaggle-titanic", "kernel_id": "50548473"}, {"ref": "akyaka48/d48-titanic-data-analysis", "kernel_id": "50495981"}, {"ref": "girishchowdary22/titanic-survival-prediction", "kernel_id": "50114248"}, {"ref": "miwash/titanic-challenge-ai-collaborate", "kernel_id": "50531168"}, {"ref": "natecekay/machine-learning-predictions-with-titanic-dataset", "kernel_id": "50756538"}, {"ref": "sainbayar/titanic1-25-3", "kernel_id": "50266580"}, {"ref": "sainbayar/titanic-feature-engineering", "kernel_id": "50295647"}, {"ref": "gamarsaihan/btshgm", "kernel_id": "50295609"}, {"ref": "prajaktaks9/titanic-ml-competition", "kernel_id": "50832120"}, {"ref": "jackren000/titanic-machine-learning-from-disaster", "kernel_id": "50317325"}, {"ref": "brianalvarez/notebook706a77417b", "kernel_id": "50834291"}, {"ref": "keremzkezer/titanic-tutorial-for-beginners", "kernel_id": "50072746"}, {"ref": "alhsan/titanic-prediction-accuracy-0-84-auc-0-89", "kernel_id": "50961283"}, {"ref": "neelkumarkunjadiya/titanic-data-science-solutions", "kernel_id": "50129048"}, {"ref": "faroukfadelbrachemi/titanic-logistic-regression", "kernel_id": "50473357"}, {"ref": "hanasaleh/titanic-dataset-prediction", "kernel_id": "50143464"}, {"ref": "sasikarnl/fork-of-demo4u-superaiss4", "kernel_id": "50061355"}, {"ref": "minhaz75/titanic-survival-prediction-accuracy-0-8875", "kernel_id": "50544973"}, {"ref": "mamoruiwasaki/titanic2", "kernel_id": "50763602"}, {"ref": "mamoruiwasaki/titanic5", "kernel_id": "50847212"}, {"ref": "shantanugupta2004/titanic-automl", "kernel_id": "50819257"}, {"ref": "muhammedateffkoshy/prediction-using-random-forest", "kernel_id": "50482230"}, {"ref": "muhammedateffkoshy/eda-on-titanic-dataset", "kernel_id": "50526725"}, {"ref": "sayedgamal99/titanic-advanced-techniques-accuracy-80", "kernel_id": "50118419"}, {"ref": "vrushaliguldagad/notebookc4c27ac750", "kernel_id": "50055246"}, {"ref": "abdelmoneimrehab/titanic-ml", "kernel_id": "50379583"}, {"ref": "mdsahidulislam41/titanic-decisiontreeclassifier", "kernel_id": "50009343"}, {"ref": "anirudhasutar/titanic-survival-prediction", "kernel_id": "50865879"}, {"ref": "yonladajar/titanic-test-biginner", "kernel_id": "50061787"}, {"ref": "meenalsaini/titanic", "kernel_id": "50977096"}, {"ref": "harunyusuffendoglu/titanic-eda", "kernel_id": "50705998"}, {"ref": "vishakhagupta11/notebooka66c784093", "kernel_id": "50957912"}, {"ref": "shubhamdhruva/titanic-data-science-solutions", "kernel_id": "50126577"}, {"ref": "shubhamdhruva/fork-of-titanic-data-science-solutions", "kernel_id": "50176608"}, {"ref": "jullyhaba/titanic", "kernel_id": "50741422"}, {"ref": "ngjunkiat/titanic-classification-with-logistic-regression", "kernel_id": "50939300"}, {"ref": "abdalrahminmohammed/titanic-competition", "kernel_id": "50470848"}, {"ref": "anmol111pal/titanic-survival-prediction-competition", "kernel_id": "50255201"}, {"ref": "rohitkumarkovuri/abc-titanic-v01", "kernel_id": "50135241"}, {"ref": "rishitharishitha/rishitha-titanic-v01", "kernel_id": "50131779"}, {"ref": "sveachawla/titanic", "kernel_id": "50726976"}, {"ref": "heba68/titanic-machine-learning-algorithms", "kernel_id": "50509770"}, {"ref": "nobun123/titanic-data-cleaning-eda-neural-network", "kernel_id": "50604639"}, {"ref": "rajgurubhosale/titanic-prediction-survival-and-eda", "kernel_id": "50149729"}, {"ref": "nishkoder/titanic-ml-from-disaster-advance-eda", "kernel_id": "50480257"}, {"ref": "divyanshusolanki/titanic-improved-attempt", "kernel_id": "50937878"}, {"ref": "prathamaggarwal20/titanic-survivor-prediction-random-forest", "kernel_id": "50940408"}, {"ref": "khushibansal15/titanic-dataset-easy-approach-for-beginners", "kernel_id": "50694143"}, {"ref": "rohitkovuri/rohit-titanic-v01", "kernel_id": "50135000"}, {"ref": "abdullahtas/titanic-survived-classification", "kernel_id": "50436896"}, {"ref": "vdisha/titanic-disaster-prediction-using-machine-learning", "kernel_id": "50935672"}, {"ref": "canjar/notebook-titanic", "kernel_id": "50510249"}, {"ref": "junaidullhassan/titanic-disaster-with-pipeline", "kernel_id": "50161943"}, {"ref": "agronomy4future/ml-homework", "kernel_id": "50801735"}, {"ref": "yahiahamaid/did-jack-survive-titanic-eda", "kernel_id": "50903057"}, {"ref": "mahdialfred/titanic-logistic", "kernel_id": "50416183"}, {"ref": "mahdialfred/kill-seaborn", "kernel_id": "50667329"}, {"ref": "kalpanagarige/titanic-dataset-machine-learning-from-disaster", "kernel_id": "50887779"}, {"ref": "kimkijun7/titanic-logisticregression-with-r", "kernel_id": "50591346"}, {"ref": "alexmil96/titanic-notebook", "kernel_id": "50233434"}, {"ref": "samahfetouh/titanic", "kernel_id": "50606291"}, {"ref": "rishitaverma02/titanic-comp", "kernel_id": "50964908"}, {"ref": "rickmohanty57/test-run", "kernel_id": "50785472"}, {"ref": "sangeetrajshrestha/titanic-dataset-machine-learning-from-disaster", "kernel_id": "50088376"}, {"ref": "ubaidtanoli/0-78229-using-simple-randomforest-classifier", "kernel_id": "50700867"}, {"ref": "avisoni/titanic-dataset-rf", "kernel_id": "50953433"}, {"ref": "chirayurijal/titanic", "kernel_id": "50456903"}, {"ref": "davidantonioteixeira/predicacao-titanic", "kernel_id": "50033866"}, {"ref": "anvithreddynemali/titanic-project-v1", "kernel_id": "50755341"}, {"ref": "prashantkumar9898/titanic-survived-predictions", "kernel_id": "50665384"}, {"ref": "freney/titanic-data-science-solutions-improved", "kernel_id": "50179350"}, {"ref": "freney/titanic-data-science-solutions", "kernel_id": "50077176"}, {"ref": "yashaskirnapure/notebook0ac07125ac", "kernel_id": "50103697"}, {"ref": "christianlippai/titanic-support-vector-machine", "kernel_id": "50422051"}, {"ref": "bugbreaker18/titanic-disaster-eda", "kernel_id": "50216502"}, {"ref": "kaustubhrastogi17/survival-prediction-neural-network-vs-ml-models", "kernel_id": "50930458"}, {"ref": "nakagawaren0805/hello-tenseal-with-titanic", "kernel_id": "50160712"}, {"ref": "shivamkushwah0411/titanic", "kernel_id": "50048789"}, {"ref": "dormyyy/titaniccompetition", "kernel_id": "50565711"}, {"ref": "dormyyy/titanic", "kernel_id": "50757142"}, {"ref": "cognativelearner/understanding-data", "kernel_id": "50105843"}, {"ref": "cognativelearner/multivariate-eda", "kernel_id": "50697977"}, {"ref": "drishtiagarwal20/titanic-machine-learning-from-disaster", "kernel_id": "50973993"}, {"ref": "muhammadhidayat99/titanic-survival-prediction-by-hidayat", "kernel_id": "50098647"}, {"ref": "samakshahuja605/notebookb3c9c88b60", "kernel_id": "50545953"}, {"ref": "jakeai/kaggle-study-titanic-2", "kernel_id": "50585290"}, {"ref": "feperetz/xgboost-analysis-and-optimisation", "kernel_id": "50121138"}, {"ref": "nandikaaganesh/titanic-regression-and-evaluation", "kernel_id": "50487276"}, {"ref": "arisapim/my-first-kaggle-titanic", "kernel_id": "50060219"}, {"ref": "emanchauhdary/titanic-learning-for-ai-comp", "kernel_id": "50909078"}, {"ref": "santiagobima87/titanic-machine-learning-1", "kernel_id": "50955842"}, {"ref": "khadiza1/titanic-machine-learning-from-disaster", "kernel_id": "50344503"}, {"ref": "brandonng26/2-12-non-numerical-data", "kernel_id": "50842938"}, {"ref": "asmahachaichi/titanic-dataset-analyst", "kernel_id": "50384679"}, {"ref": "annwanginnt/titanic-mban", "kernel_id": "50445475"}, {"ref": "behnazjemo/titanic-data-science-solution-by-behnaz", "kernel_id": "50259776"}, {"ref": "cyz020403/titanic", "kernel_id": "50658972"}, {"ref": "ahmedmahmoud16/titanic", "kernel_id": "50654056"}, {"ref": "youssifshaabanqzamel/titanic-for-beginners", "kernel_id": "50426006"}, {"ref": "rheanca/titanic-tutorial", "kernel_id": "50032799"}, {"ref": "japleenkaurbedi/titanic-1-102103204", "kernel_id": "50015879"}, {"ref": "jkaur28/notebook913356fd22", "kernel_id": "50453854"}, {"ref": "harbandanakaur/titanic-machine-learning-from-disaster", "kernel_id": "50055880"}, {"ref": "declanmckenna/pytorch-titanic", "kernel_id": "50510671"}, {"ref": "akankshasolanki123/titanic-mlfromdisaster", "kernel_id": "50832203"}, {"ref": "akshit2605/notebook381065b87e", "kernel_id": "50476606"}, {"ref": "gimyeonjik/baby-s-titanic", "kernel_id": "50831438"}, {"ref": "sanchibatra/titanic", "kernel_id": "50224648"}, {"ref": "ehsaasdhand/ehsaas-titanicbook", "kernel_id": "50754627"}, {"ref": "sinderpreet/titanic-challenge", "kernel_id": "50919795"}, {"ref": "audreywarrene/audreywarrene-titanic", "kernel_id": "50916860"}, {"ref": "shwetakk/notebook44488daf3d", "kernel_id": "50111453"}, {"ref": "ashish32700/titanic-machine-learning-from-disaster", "kernel_id": "50114930"}, {"ref": "devitachi/apple-a-day-accuracy-90", "kernel_id": "50514855"}, {"ref": "nitishjolly/titanic", "kernel_id": "50333983"}, {"ref": "namitnayyar/titanic", "kernel_id": "50938444"}, {"ref": "edwardiafosah/titantic-competition", "kernel_id": "50065286"}, {"ref": "daltongabrielomondi/exercise-arithmetic-and-variables", "kernel_id": "50033169"}, {"ref": "shinu8026/titanic-prediction-code", "kernel_id": "50934426"}, {"ref": "fathimarubaa/my-titanic-notebook", "kernel_id": "50953003"}, {"ref": "mohameddateff/titanic-cleaning-prediction", "kernel_id": "50997111"}, {"ref": "mojamojahitsuji/titanic-tutorial-kaggel", "kernel_id": "50235419"}, {"ref": "mukerr/getting-started-with-titanic", "kernel_id": "50212538"}, {"ref": "shazelp/titanic-logisticrregression-1st", "kernel_id": "50492695"}, {"ref": "athiraharifin/exercise-arithmetic-and-variables", "kernel_id": "50842910"}, {"ref": "benyapaauppama/titanic-survival-prediction", "kernel_id": "50209724"}, {"ref": "aannu13/l5nnc", "kernel_id": "50638177"}, {"ref": "aannu13/rfw-titanic-p-2", "kernel_id": "50931186"}, {"ref": "harikirangannamani/hkg-titanicdataset-v1", "kernel_id": "50111367"}, {"ref": "alexkaizen/start-titanic", "kernel_id": "50892997"}, {"ref": "jordantardis15/jordanbell-titanic-kmeans", "kernel_id": "50834289"}, {"ref": "arjunramachandran01/python-titanic-data", "kernel_id": "50032140"}, {"ref": "mostafabahadori/titanic", "kernel_id": "50657373"}, {"ref": "beyzanurturku/titanic-project-eda", "kernel_id": "50159275"}, {"ref": "alliehumphrey/notebook584229b848", "kernel_id": "50834312"}, {"ref": "ahmedzidan882/titanic-with-svm", "kernel_id": "50728487"}, {"ref": "sibtainali110/survival-predicted-by-neural-network-tensorflow", "kernel_id": "50178065"}, {"ref": "tayyabli/titanic-neural-network", "kernel_id": "50076596"}, {"ref": "yeowonn/titanic-sol-3", "kernel_id": "50255677"}, {"ref": "yeowonn/titanic-sol-4", "kernel_id": "50308061"}, {"ref": "trubnikovanatolii/titanic-data", "kernel_id": "50026866"}, {"ref": "artemy228/titanic-78-4", "kernel_id": "50262807"}, {"ref": "renantrevisan/titanic-rdf-and-precision-optimization", "kernel_id": "50286678"}, {"ref": "sowparnikam/titanic-tutorial", "kernel_id": "50063701"}, {"ref": "yannickdenboer/titanic-competition", "kernel_id": "50506072"}, {"ref": "duyle0408/duy-le-titanic-classifier-feb2024", "kernel_id": "50841778"}, {"ref": "divyashree17/titanic-data-science-solutions", "kernel_id": "50088693"}, {"ref": "saiajithj/saj-titanic-v01", "kernel_id": "50176660"}, {"ref": "nelahris/survival-prediction-with-rdf-and-parameter-tuning", "kernel_id": "50238442"}, {"ref": "dhurkeshr/notebook599c630285", "kernel_id": "50293800"}, {"ref": "dilrabonu/titanic-predic", "kernel_id": "50805592"}, {"ref": "varunpenumudi/titanic-competetion-sumbmission", "kernel_id": "50576855"}, {"ref": "kmvenkatesh/titanic-tutorial", "kernel_id": "50687153"}, {"ref": "anmolgargnsut/titanic-project-1", "kernel_id": "50514697"}, {"ref": "hosseintimasi/ml-intro-sklearn-iris", "kernel_id": "50810203"}, {"ref": "minoi3/make-gender-submission", "kernel_id": "50142293"}, {"ref": "jayantdon/titanic-machine-learning-from-disaster", "kernel_id": "50112925"}, {"ref": "emreogutlu/titanic-eda", "kernel_id": "50618288"}, {"ref": "rishi2003das/winequality-check", "kernel_id": "50047539"}, {"ref": "pasqualecasciano/titanic-dataset-with-random-forest", "kernel_id": "50740740"}, {"ref": "thiagocostadesouza/titanic-first-machine-learning-model", "kernel_id": "50222743"}, {"ref": "nonnyman1/titanic-dataset", "kernel_id": "50312079"}, {"ref": "matveevaanna/titanic", "kernel_id": "50456997"}, {"ref": "abdu1sametztrk/notebookd76fbd048f", "kernel_id": "50984638"}, {"ref": "hirokisaitoreason/r-titanic", "kernel_id": "50399758"}, {"ref": "hatimtalwarawala/assignment-4-5", "kernel_id": "50488173"}, {"ref": "rukaiyakhatoon/kernel-survived-siblings-titanic", "kernel_id": "50023598"}, {"ref": "kunihironakajima/n-20240201", "kernel_id": "50300267"}, {"ref": "fumihikotanaka/2024-02-1-kaggle-homework", "kernel_id": "50340615"}, {"ref": "nozomutakenaka/titanic-chapter2", "kernel_id": "50590091"}, {"ref": "chienakamae/20240201-basemodel", "kernel_id": "50300286"}, {"ref": "chienakamae/fork-of-20240214-basemodel0", "kernel_id": "50902228"}, {"ref": "akihiroyoshioka/challenge-to-create-a-titanic-model", "kernel_id": "50300334"}, {"ref": "kentafukui/20240130-titanic-model", "kernel_id": "50300301"}, {"ref": "ronakkantariya/titanic-survival-prediction", "kernel_id": "50914135"}, {"ref": "ragicapoher/titanic-survived", "kernel_id": "50855242"}, {"ref": "farheenshaukat/ensemble-learning-techniques", "kernel_id": "50198436"}, {"ref": "polinakudryavceva/notebook7364fc301e", "kernel_id": "50550741"}, {"ref": "thamedzamanchowdhury/random-forest-titanic", "kernel_id": "50006470"}, {"ref": "thamedzamanchowdhury/titanic-logisticregression-by-nirob", "kernel_id": "50033192"}, {"ref": "ryousukekono/make-model1", "kernel_id": "50300378"}, {"ref": "ryousukekono/make-model-0", "kernel_id": "50622906"}, {"ref": "sirinbsa/getting-started-with-titanic", "kernel_id": "50771947"}, {"ref": "gourabr0y555/for-beginners-decision-trees-titanic", "kernel_id": "50033733"}, {"ref": "goluqw/notebook3163360823", "kernel_id": "50066112"}, {"ref": "masarusato/ase-step1-titanic-model", "kernel_id": "50304705"}, {"ref": "khyatimunjal/titanic-survival", "kernel_id": "50812584"}, {"ref": "chuaweicong/titanic-survivability-tree-based-models", "kernel_id": "50207744"}, {"ref": "krishuppal4/titanic-tutorial", "kernel_id": "50031662"}, {"ref": "santiago123678/titanic-1", "kernel_id": "50045740"}, {"ref": "timltagch/linear-model-and-neural-net-from-scratch", "kernel_id": "50244133"}, {"ref": "timltagch/how-random-forests-really-work", "kernel_id": "50582232"}, {"ref": "kittiporn/6410545401-exam-problem-1", "kernel_id": "50243971"}, {"ref": "violeteb/getting-started-with-titanic", "kernel_id": "50353042"}, {"ref": "amiteshsharma667/notebook52cbe10a0d", "kernel_id": "50087487"}, {"ref": "pranoyghoshtlf24/titanic-random-forest-pg-ipynb", "kernel_id": "50958493"}, {"ref": "somewhatjustin/titanic", "kernel_id": "50920520"}, {"ref": "masafumiashikaga/titanic-1", "kernel_id": "50283543"}, {"ref": "masafumiashikaga/titanic20240201", "kernel_id": "50300295"}, {"ref": "masafumiashikaga/titanic-3", "kernel_id": "50122465"}, {"ref": "akanemiyata/baseline-titanic-works-240201", "kernel_id": "50300293"}, {"ref": "ravikant0710/task-2-internship", "kernel_id": "50419039"}, {"ref": "omotohiroki/chapter2", "kernel_id": "50300239"}, {"ref": "saanvi004/titanic-eda-gradient", "kernel_id": "50658183"}, {"ref": "adityagoel2205/titanic-survival", "kernel_id": "50528031"}, {"ref": "ashaytaksande/notebookbf9ef59a8c", "kernel_id": "50009683"}, {"ref": "bhavikasaini/titanic-survival-prediction-rf-lgb-xgb", "kernel_id": "50428922"}, {"ref": "jsh00325/titanic-tutorial", "kernel_id": "50404785"}, {"ref": "takeshigohda/titanic-step2", "kernel_id": "50300348"}, {"ref": "prikshitbhagat1/titanic", "kernel_id": "50352860"}, {"ref": "gabrielcastellon/titanic-survival-predictions-with-randomforest", "kernel_id": "50196960"}, {"ref": "mikhail576676/notebook1bb75b6723", "kernel_id": "50667292"}, {"ref": "nichamonura/bis624-titanic-beginner", "kernel_id": "50557650"}, {"ref": "liayeoni/week3-titanic-top-4-with-ensemble-modeling", "kernel_id": "50769550"}, {"ref": "liayeoni/titanic-eda-to-prediction", "kernel_id": "50503356"}, {"ref": "shalinijaimeena/using-logistic", "kernel_id": "50414970"}, {"ref": "vvemana1/titanic-xgboost", "kernel_id": "50803711"}, {"ref": "vvemana1/vkvtitanic-v01", "kernel_id": "50128771"}, {"ref": "anshukumar7777/anshu", "kernel_id": "50386085"}, {"ref": "bucksin/titanic-bucksin", "kernel_id": "50137412"}, {"ref": "sagarsom/titanic-data-science-solutions", "kernel_id": "50130138"}, {"ref": "bindiyaraini/submission", "kernel_id": "50127929"}, {"ref": "anveshkothapally01/anvesh-titanic", "kernel_id": "50164478"}, {"ref": "cchirumamilla1/chaitanya-titanic-v01", "kernel_id": "50132866"}, {"ref": "parshvabarbhaya/titanic-data-science-solutions", "kernel_id": "50093862"}, {"ref": "muhammadowais205/exercise-arithmetic-and-variables", "kernel_id": "50165244"}, {"ref": "jamswe/titanic-model-fitting-and-validation-jamswe", "kernel_id": "50860982"}, {"ref": "jamswe/descriptive-and-explorative-stats-titanic-jamswe", "kernel_id": "50703133"}, {"ref": "jsonali2003/titanic-disaster", "kernel_id": "50405757"}, {"ref": "chiaranocentini/exercise-arithmetic-and-variables", "kernel_id": "50267868"}, {"ref": "emaglavanovic/exercise-arithmetic-and-variables", "kernel_id": "50249808"}, {"ref": "ddxclbri/notebook-titanic-nn-randomforest", "kernel_id": "50000390"}, {"ref": "xenonsteak/ga-titanic-v01", "kernel_id": "50131375"}, {"ref": "nathadeantansukawat/titanic-competition", "kernel_id": "50189137"}, {"ref": "adityapandey12/titanic-survival", "kernel_id": "50228062"}, {"ref": "jonathan2412/titanic-tutorial", "kernel_id": "50847153"}, {"ref": "viknesh0209/titanic-data-science-solutions", "kernel_id": "50049404"}, {"ref": "kbparikh/titanic-data-science-solutions", "kernel_id": "50037450"}, {"ref": "jivalkapoor/titanic-baseline", "kernel_id": "50114013"}, {"ref": "dirkvanherwaarden/dpsnotebook1", "kernel_id": "50119421"}, {"ref": "melikedivdiv/titanic-divdiv-eda", "kernel_id": "50337432"}, {"ref": "dhruvp07/titanic-data-science-solutions-4bcf7f", "kernel_id": "50192990"}, {"ref": "dhruvp07/titanic-data-science-solutions", "kernel_id": "50128644"}, {"ref": "abdullahshafqat27/exercise-arithmetic-and-variables", "kernel_id": "50130746"}, {"ref": "vickychukka/vikram-titanic-code", "kernel_id": "50179114"}, {"ref": "pruthvibpt/titanic-pruthvi-project", "kernel_id": "50165853"}, {"ref": "rishitejyadav/titanic-data-science-solutions-version-1", "kernel_id": "50184808"}, {"ref": "lavanya1397/titanic-prediction-model", "kernel_id": "50146115"}, {"ref": "tejasmundada/cse572-hw1-titanic", "kernel_id": "50163899"}, {"ref": "sanjeev2324/titanic-survival", "kernel_id": "50164507"}, {"ref": "shawnrobinson9/titanic-machine-learning-from-disaster", "kernel_id": "50281186"}, {"ref": "jeremymahieu/svm-with-bayes-optimization", "kernel_id": "50184167"}, {"ref": "amulyakeerthananalla/akn-titanic-v01", "kernel_id": "50180305"}, {"ref": "aiexercise2024yh0/titanic-day1", "kernel_id": "50203818"}, {"ref": "aiexercise2024yh0/exploratory-data-analysis", "kernel_id": "50633602"}, {"ref": "aiexercise2024yh0/titanic-day2", "kernel_id": "50849130"}, {"ref": "aiexercise2024yh0/titanic-day3-2", "kernel_id": "50851367"}, {"ref": "aiexercise2024yh0/titanic-day3-3", "kernel_id": "50852132"}, {"ref": "aiexercise2024yh0/titanic-day3-1", "kernel_id": "50850428"}, {"ref": "jojaepark/titanic-machine-learning-from-disaster", "kernel_id": "50251246"}, {"ref": "vayssadetom/project-ml", "kernel_id": "50258634"}, {"ref": "raoulstraczowski/titanic-learning-from-disaster-bba6460db8", "kernel_id": "50336706"}, {"ref": "jeeteshbhoria/titanic-decision-tree", "kernel_id": "50913778"}, {"ref": "devanshsingh0228/titanic-baseline-1st-project", "kernel_id": "50622902"}, {"ref": "pedroconiglio/case-do-titanic", "kernel_id": "50483025"}, {"ref": "dannyvm/taller-1-titanic-mpn-dvm-nto", "kernel_id": "50441158"}, {"ref": "saketk101/titanic-tutorial", "kernel_id": "50453928"}, {"ref": "emres1k/emre-k-titanic-eda", "kernel_id": "50909200"}, {"ref": "royrubinse/royrubinandinbarzafarnotebook", "kernel_id": "50655874"}, {"ref": "lalchandbadsha/notebookfcb5fd0e24", "kernel_id": "50745603"}, {"ref": "lalchandbadsha/getting-started-with-titanic", "kernel_id": "50743700"}, {"ref": "ravidmasalton/assignment3", "kernel_id": "50501423"}, {"ref": "yingxinzhang733/yingxin-titanic-hw", "kernel_id": "50662329"}, {"ref": "nitin54/titanic-survival", "kernel_id": "50561896"}, {"ref": "clintonphillips/getting-started-with-titanic", "kernel_id": "50616189"}, {"ref": "hardimakwana/titanic", "kernel_id": "50645697"}, {"ref": "shubhamrawat27/notebook692e7155fa", "kernel_id": "50659866"}, {"ref": "galsaid/assignment-1", "kernel_id": "50651901"}, {"ref": "talmiz/assignment3", "kernel_id": "50891623"}, {"ref": "profodonnell/fork-of-titanic-classifier-feb2024", "kernel_id": "50842593"}, {"ref": "profodonnell/titanic-classifier-feb2024", "kernel_id": "50827018"}, {"ref": "kashufnaeem/exercise-arithmetic-and-variables", "kernel_id": "50960700"}, {"ref": "benmendelson04/titanic-machine-learning", "kernel_id": "50742937"}, {"ref": "samanthayiu/titanic-ml-competition", "kernel_id": "50800472"}, {"ref": "ericguetta/notebook38885babd6", "kernel_id": "50834295"}, {"ref": "dnathan22/notebook5221bc231c", "kernel_id": "50834483"}, {"ref": "ayamohammedshahata/titanic", "kernel_id": "50837875"}, {"ref": "ohjeseok/my-first-data-analysis-for-titanic", "kernel_id": "50855604"}, {"ref": "shagun001/notebook988d2348b1", "kernel_id": "50969345"}, {"ref": "violetachamosa97/titanic-competition", "kernel_id": "50908403"}, {"ref": "tylerbaverstockkay/intro-to-programming-1-arithmetic-and-variables", "kernel_id": "50914661"}, {"ref": "vergilfrans/titanic-survival-predication-using-randomforest", "kernel_id": "50947213"}, {"ref": "samereyousefpour/notebookf12d2647de", "kernel_id": "50978759"}, {"ref": "dpatramanis/titanic-svc-20022024", "kernel_id": "50995342"}, {"ref": "tresoldi/straightforward-autogluon-automl", "kernel_id": "51570076"}, {"ref": "bguberfain/gemma-for-titanic", "kernel_id": "51232218"}, {"ref": "yuluturk/yasemin-s-titanic-eda", "kernel_id": "51271782"}, {"ref": "anubhavsaxena/titanic-survival-prediction-logistic-regression", "kernel_id": "51502328"}, {"ref": "kidkoala/titanic-with-auto-eda-gridsearch-and-xgboost", "kernel_id": "51224573"}, {"ref": "zakiyff/exercise-arithmetic-and-variables", "kernel_id": "51709629"}, {"ref": "sky4470/titanic", "kernel_id": "51411737"}, {"ref": "seongnam1stminam/titanic-submit", "kernel_id": "51152352"}, {"ref": "bevinthomas/cse572-dm-hw2-bevinbijuthomas", "kernel_id": "51486580"}, {"ref": "moussaid/tp1-mastrer-ds-s2", "kernel_id": "51430015"}, {"ref": "glaswasser/titanic-dataset-explorative-predictive-analysis", "kernel_id": "51981992"}, {"ref": "mostafa979/xgboost-model-with-optuna-optimization-for-titanic", "kernel_id": "51926725"}, {"ref": "suriyaganesh/titanic-ml-from-disaster", "kernel_id": "51143385"}, {"ref": "stpeteishii/titanic-scatter-plots-rust", "kernel_id": "51015002"}, {"ref": "r2016a7ps0015g/home-work-2", "kernel_id": "51599155"}, {"ref": "nagarjungopala/random-forests", "kernel_id": "51286763"}, {"ref": "perryklee/kaggle-1-for-athinoula", "kernel_id": "51251126"}, {"ref": "perryklee/titanic-tutorial", "kernel_id": "51246513"}, {"ref": "mina99/mina-titanic", "kernel_id": "51134021"}, {"ref": "sameerashra/titanic-dataset-competition", "kernel_id": "51057579"}, {"ref": "athenacranta/titanic-101", "kernel_id": "51391757"}, {"ref": "qgw1119/01-titanic", "kernel_id": "51911732"}, {"ref": "swapnilkannojia/hw2-swapnil-kannojia", "kernel_id": "51613325"}, {"ref": "syedjaffri/notebook376e014237", "kernel_id": "51403050"}, {"ref": "syedjaffri/notebook54f2504e41", "kernel_id": "51554785"}, {"ref": "vinodthomas/notebook8b24478bc3", "kernel_id": "51554444"}, {"ref": "sucikurniawati/titanic-data-with-bernoulli-naive-bayes", "kernel_id": "51054915"}, {"ref": "deeprodge/dm-homework-2", "kernel_id": "51616101"}, {"ref": "tanujakirthi/hw2-titanic-data-science-solutions", "kernel_id": "51586612"}, {"ref": "aloknaglaksh/titanic-visualization", "kernel_id": "51110012"}, {"ref": "ivansantoso/titanic-logistic-regression-with-only-3-columns", "kernel_id": "51770843"}, {"ref": "amulyas/titanic-beginner-solutions", "kernel_id": "51054695"}, {"ref": "maxzawalo/chaos-on-the-sparse-matrix-automl", "kernel_id": "51849464"}, {"ref": "jinkwonskk/notebook7ac86867dd", "kernel_id": "51709782"}, {"ref": "muhammadharis1/notebookc15b60259c", "kernel_id": "51814990"}, {"ref": "apoorvjha63/titanic-data-analysis", "kernel_id": "51861631"}, {"ref": "marlos11/notebookd7688a5f61", "kernel_id": "51282432"}, {"ref": "alyaaka/linear-model-from-scratch", "kernel_id": "51887027"}, {"ref": "jbyeon/titanic-v0-02", "kernel_id": "51686568"}, {"ref": "just249/titanic-survival-prediction-project", "kernel_id": "51552856"}, {"ref": "smitassoni/exercise-arithmetic-and-variables", "kernel_id": "51640322"}, {"ref": "chenfengyifan/titanic-simple-eda-and-random-forest", "kernel_id": "51899975"}, {"ref": "hindafilali/notebook6ba5b70f38", "kernel_id": "51244807"}, {"ref": "muhammedeminozdemir/titanic-project", "kernel_id": "51027011"}, {"ref": "sethhobbes/titanic-survival-challenge", "kernel_id": "51007993"}, {"ref": "jayrdixit/titanic-competition", "kernel_id": "51694418"}, {"ref": "farhakouser/titanic", "kernel_id": "51409341"}, {"ref": "achan31/cookie-cutter-data-science", "kernel_id": "51255090"}, {"ref": "yawong1983/titanic-ml-dl-gnn-val-accuracy-0-86", "kernel_id": "51608073"}, {"ref": "jeanyvessimon/keras-episode3", "kernel_id": "51480331"}, {"ref": "atillazkaymak/titanic-end-to-end-feature-engineering-data", "kernel_id": "51231905"}, {"ref": "sourenakhanzadeh/titanic-survivability", "kernel_id": "51489753"}, {"ref": "ghazouanihaythem/introduction-l-ensembling-stacking-in-python", "kernel_id": "51158359"}, {"ref": "sachinjazz/titanic-competition", "kernel_id": "51085089"}, {"ref": "k200158/titanic-competition", "kernel_id": "51988525"}, {"ref": "mehdibenbiba/titanic-eda", "kernel_id": "51780625"}, {"ref": "nitin16aug/comp1-titanic", "kernel_id": "51147039"}, {"ref": "humphreyshen1003/titanic-practice-random-forest", "kernel_id": "51929226"}, {"ref": "abcd3789/titanic", "kernel_id": "51919061"}, {"ref": "ditthaponglakagul/linear-model-and-neural-net-from-scratch", "kernel_id": "51629246"}, {"ref": "spidermanayush/titanic-survival", "kernel_id": "51913004"}, {"ref": "spidermanayush/titanic-survival-2", "kernel_id": "51913299"}, {"ref": "sonlevi/titanic-v3", "kernel_id": "51470483"}, {"ref": "abrahamajibade/titanic-prediction", "kernel_id": "51853651"}, {"ref": "treycastle/titanic-notebook-import-2", "kernel_id": "51131126"}, {"ref": "treycastle/gulustan-titanic-2", "kernel_id": "51133787"}, {"ref": "outoftime/titanic-machine-learning-from-disaster-1", "kernel_id": "51514404"}, {"ref": "dgselvam/titanic-dataset", "kernel_id": "51135936"}, {"ref": "hemanthpingali/exp1-preprocessing", "kernel_id": "51041950"}, {"ref": "kushashu/logistic-regression-titanic-ml-from-disaster", "kernel_id": "51409879"}, {"ref": "aderaldocarvalho/predict-survived-passengers", "kernel_id": "51183817"}, {"ref": "smdshk/simple-titanic-eda-practice", "kernel_id": "51712145"}, {"ref": "jayanthipalraj/numpy-for-data-science-with-example", "kernel_id": "51958924"}, {"ref": "vladimirarchipov/titanic-solution-with-knn", "kernel_id": "51157256"}, {"ref": "alligator452/titanic", "kernel_id": "51219907"}, {"ref": "devbilalkhan/comprehensive-eda-with-nice-graphs", "kernel_id": "51733737"}, {"ref": "chanchal24/heart-disease-eda-prediction-7-model-90-accuracy", "kernel_id": "51590126"}, {"ref": "manvirkaur19/titanic-notebook", "kernel_id": "51159129"}, {"ref": "djamellabdouni/titanic-save-or-die", "kernel_id": "51080076"}, {"ref": "huseyincosgun/online-retail-eda-rfm-analysis", "kernel_id": "51873265"}, {"ref": "cruzangel/titanic-02", "kernel_id": "51492877"}, {"ref": "ahmedalycess/titanic-survival-classification", "kernel_id": "51585821"}, {"ref": "ezequieljsosa/ejemplo-b-sico", "kernel_id": "51221850"}, {"ref": "byungeunhwang/titanic-study", "kernel_id": "51976387"}, {"ref": "byungeunhwang/titanic-advanced-feature-engineering-tuto-80c159", "kernel_id": "51640456"}, {"ref": "priyanshukadam/movie-recommender-system", "kernel_id": "51883311"}, {"ref": "carloscll/handling-null-values-automatically", "kernel_id": "51895434"}, {"ref": "brianalvarez/brianalvarez-titanic", "kernel_id": "51133747"}, {"ref": "ashishsabraham/random-forest", "kernel_id": "51391727"}, {"ref": "mukandkrishna/titanic-neural-network-20k-0409", "kernel_id": "51981627"}, {"ref": "mukandkrishna/cheatsheet-70-ggplot-charts", "kernel_id": "51293254"}, {"ref": "abraamsaid/titanic-analysis-predictions", "kernel_id": "51640087"}, {"ref": "knithinram/titanic-dataset", "kernel_id": "51219639"}, {"ref": "shubhamdhruva/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "51193912"}, {"ref": "nursahh/data-management-project", "kernel_id": "51871614"}, {"ref": "ngjunkiat/0-78947-top-10-easy-random-forest-classifier", "kernel_id": "51137134"}, {"ref": "vanshbatra10/titanic-svm-beginner-friendly-75-59", "kernel_id": "51512630"}, {"ref": "subrahmanya090/titanic-tutorial", "kernel_id": "51172683"}, {"ref": "alecdelcid/random-tree-lesson", "kernel_id": "51406420"}, {"ref": "galalqassas/analysis-of-titanic-dataset-knn", "kernel_id": "51018091"}, {"ref": "avivsalomon/titanic-ml-lab-project", "kernel_id": "51029631"}, {"ref": "abdelrahmanamiin/titanic-survival-prediction", "kernel_id": "51171580"}, {"ref": "tayyibi/kaggle-titanic", "kernel_id": "51992138"}, {"ref": "youssefemad004/titanic-survival-eda-and-random-forest", "kernel_id": "51490174"}, {"ref": "snekcato/tutorial-de-rboles-de-decisi-n-con-python", "kernel_id": "51533727"}, {"ref": "margobelikova/lab3-ml-code", "kernel_id": "51484969"}, {"ref": "abhinavvvvvvvvvv/titanic-easy", "kernel_id": "51081411"}, {"ref": "luizvenosalima/classic-titanic", "kernel_id": "51176036"}, {"ref": "alberbshara/titanic-machine-learning", "kernel_id": "51002519"}, {"ref": "adends/boosting-the-titanic", "kernel_id": "51543001"}, {"ref": "zeeshanyounas001/simple-neural-network-user-friendly-guide", "kernel_id": "51802952"}, {"ref": "umutkocata/titanic-eda-and-ml", "kernel_id": "51292619"}, {"ref": "streamsong/titanic-dl", "kernel_id": "51823971"}, {"ref": "fatihkgg/titanic-comprehensive-exploration", "kernel_id": "51427621"}, {"ref": "andreaslanger/titanic-survival-prediction", "kernel_id": "51691995"}, {"ref": "nanmanaslin/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "51099158"}, {"ref": "kevalkathiriya11/titanic-survival", "kernel_id": "51750336"}, {"ref": "chiragmohnani/titanic-survival-classification-random-forest", "kernel_id": "51696421"}, {"ref": "pulkitsanan/titanic", "kernel_id": "51932903"}, {"ref": "vinee0/titanic-using-logistic-regression", "kernel_id": "51107089"}, {"ref": "ankitkumardev/titanic-pred-surv", "kernel_id": "51167189"}, {"ref": "yunasheng/violin-plot", "kernel_id": "51018285"}, {"ref": "datascientist97/string-manipulation-on-datasets", "kernel_id": "51818287"}, {"ref": "datascientist97/topskillshandlemissingvalues", "kernel_id": "51825008"}, {"ref": "gouravlohar/univariate-eda-analysis", "kernel_id": "51015095"}, {"ref": "akshaysuresh2/titanic-learning-from-disaster", "kernel_id": "51166325"}, {"ref": "rajibsigdel/titanic-disaster", "kernel_id": "51630977"}, {"ref": "bvvkarthik/titanic-survival-prediction", "kernel_id": "51122577"}, {"ref": "hussainchinikhamwala/titanic-notebook", "kernel_id": "51036642"}, {"ref": "matthewlee0509/titanic-support-vector-machine-with-kernal", "kernel_id": "51842765"}, {"ref": "ankazieliska/titanic-tutorial-my-first-attempt", "kernel_id": "51633111"}, {"ref": "lastmile09/titanic", "kernel_id": "51070836"}, {"ref": "anurag031702/titanic-survival", "kernel_id": "51913802"}, {"ref": "anurag031702/titanic-survival-2", "kernel_id": "51914463"}, {"ref": "marryammohammed/titanic-competition", "kernel_id": "51170264"}, {"ref": "kutayozdur/titanic-logreg-1", "kernel_id": "51995502"}, {"ref": "alarmanovi/titanic-machine-learning-from-disaster", "kernel_id": "51181735"}, {"ref": "audreywarrene/audreywarrene-copy-titanic", "kernel_id": "51133734"}, {"ref": "emrealty/titanic-random-forest", "kernel_id": "51664605"}, {"ref": "virenpai/titanic-survivor-prediction", "kernel_id": "51784799"}, {"ref": "buluttok/bulut-titanic-hw", "kernel_id": "51603984"}, {"ref": "buluttok/bulut-titanic", "kernel_id": "51246690"}, {"ref": "proiz92/titanicproiz", "kernel_id": "51134878"}, {"ref": "wendyanngraham/logistics-regression", "kernel_id": "51066627"}, {"ref": "mohammadyaghmouri/titanic-survival-prediction", "kernel_id": "51869574"}, {"ref": "asmitakundu/titanic-survival-prediction", "kernel_id": "51786678"}, {"ref": "ayushilowanshi/titanic-visualization", "kernel_id": "51109811"}, {"ref": "mikinuummiu/titanictut", "kernel_id": "51271051"}, {"ref": "naveenn004/titanic-prediction", "kernel_id": "51860117"}, {"ref": "sebastienmotionstats/clf-practice-motionstats", "kernel_id": "51040405"}, {"ref": "akarshannirwan/notebook93ced42d9f", "kernel_id": "51263661"}, {"ref": "phngngyn/titanic-dataset-eda-modeling", "kernel_id": "51285174"}, {"ref": "hojuna/titanic-my-first-kaggle", "kernel_id": "51954328"}, {"ref": "jordantardis15/jordanbell-titanic-hw2", "kernel_id": "51805033"}, {"ref": "danishmubashar/titanic-survival-prediction", "kernel_id": "51749862"}, {"ref": "abhishek1lakra/titanic-servival-prediction", "kernel_id": "51692123"}, {"ref": "alliehumphrey/alliehumphrey-titanickmeans", "kernel_id": "51237913"}, {"ref": "alliehumphrey/alliehumphrey-titaniclab", "kernel_id": "51601083"}, {"ref": "leonidvashchyn/titanic-eda-catboost-optuna-top-5", "kernel_id": "51074400"}, {"ref": "shahidumar80/forecasting-survival-rates-with-tensorflow", "kernel_id": "51596132"}, {"ref": "arvinak/titanic-disaster-predictor", "kernel_id": "51002639"}, {"ref": "dobval/titanic-survivors-prediction", "kernel_id": "51482904"}, {"ref": "hanyjr/solving-titanic-classification-problem", "kernel_id": "51053456"}, {"ref": "zamzambeennail/naive-bayse-algorithm", "kernel_id": "51781592"}, {"ref": "rickyhouse/notebook2", "kernel_id": "51019979"}, {"ref": "samarth199/rfc-titanic-problem", "kernel_id": "51289135"}, {"ref": "onatsezer/outlier-detection-process", "kernel_id": "51865725"}, {"ref": "dribrahimkaya45/outlier-detection-process", "kernel_id": "51865691"}, {"ref": "dribrahimkaya45/feature-scaling", "kernel_id": "51916147"}, {"ref": "dribrahimkaya45/encoding-scaling", "kernel_id": "51911874"}, {"ref": "dribrahimkaya45/missing-value-analysis", "kernel_id": "51909845"}, {"ref": "bglidd/titanic-machine-learning-from-disaster-notebook", "kernel_id": "51768777"}, {"ref": "isacanturkyay/titanic-predict", "kernel_id": "51425358"}, {"ref": "divyashree17/dm-hw-2", "kernel_id": "51537835"}, {"ref": "anonminhkhnh/titanic-sample-notebook", "kernel_id": "51900839"}, {"ref": "tanayatipre/titanic", "kernel_id": "51456511"}, {"ref": "yagizcapa/outlier-detection-process", "kernel_id": "51865775"}, {"ref": "yagizcapa/missing-value-analysis", "kernel_id": "51907952"}, {"ref": "yagizcapa/encoding-scaling", "kernel_id": "51911863"}, {"ref": "yagizcapa/feature-scaling", "kernel_id": "51916132"}, {"ref": "abdulkadarmmousa/exercise-arithmetic-and-variables", "kernel_id": "51824857"}, {"ref": "drmattwood/cleaning-data-in-plain-english", "kernel_id": "51229610"}, {"ref": "janasoliman21/titanic-competition", "kernel_id": "51973585"}, {"ref": "hosseintimasi/obesity-risk-xgboost-tuning", "kernel_id": "51171888"}, {"ref": "whoruhaha/notebookb31707e0ba", "kernel_id": "51747264"}, {"ref": "srijaakella/titanic-using-randomforest", "kernel_id": "51406414"}, {"ref": "ridhii19/titanic-comp", "kernel_id": "51653844"}, {"ref": "dungnhi/titanic-sample-notebook", "kernel_id": "51983964"}, {"ref": "elshodabdumahkamov/titanic", "kernel_id": "51615689"}, {"ref": "mcurious4869/titanic-rfc", "kernel_id": "51283612"}, {"ref": "mathkao/my-titanic-complete-end-to-end-solution", "kernel_id": "51242286"}, {"ref": "fumihikotanaka/notebook653a27311d", "kernel_id": "51095143"}, {"ref": "cieldt/getting-started-with-titanic", "kernel_id": "51111728"}, {"ref": "justinj2023/notebook3114bdee61", "kernel_id": "51647832"}, {"ref": "poungpoung2/titanic-practice", "kernel_id": "51256359"}, {"ref": "ksh000325/titanic-beginner-s-eda-lightgbm-guide", "kernel_id": "51829381"}, {"ref": "shakhnozabanu/banuuuu27", "kernel_id": "51260771"}, {"ref": "mahfuzurmahimrahman/getting-started-with-titanic-first-competition", "kernel_id": "51911688"}, {"ref": "asdefer/titanic-draft", "kernel_id": "51178099"}, {"ref": "lucxstein/randomforest-vs-xgboost-titanic", "kernel_id": "51278039"}, {"ref": "ananyagupta184/titanic-dataset", "kernel_id": "51080692"}, {"ref": "siddhantjain03/getting-started-with-titanic", "kernel_id": "51627964"}, {"ref": "almahfuz777/titanic-survival-prediction", "kernel_id": "51771226"}, {"ref": "saranshthegoat/smj-s-titanic-machine-learning-from-disaster", "kernel_id": "51074324"}, {"ref": "meisammalekmohammadi/titanic-survival-analysis", "kernel_id": "51068622"}, {"ref": "syunjae/01-titanic-transcription", "kernel_id": "51851367"}, {"ref": "felixleonardomorales/predicting-titanic-survivors", "kernel_id": "51853336"}, {"ref": "tosinwilliams/titanic-disaster", "kernel_id": "51629053"}, {"ref": "liayeoni/titanic-ensembling-stacking-in-python", "kernel_id": "51577963"}, {"ref": "kagglenewoneuser/titanic", "kernel_id": "51038031"}, {"ref": "denisschedrin/titanic-model", "kernel_id": "51837616"}, {"ref": "sharanpadmanabhan/notebooke38d2a4322", "kernel_id": "51614127"}, {"ref": "kbparikh/notebook54fb713419", "kernel_id": "51591203"}, {"ref": "kimjiaelearning/copy-transcription-titanic-tutorial1", "kernel_id": "51744780"}, {"ref": "kamplanmax/very-basic-model-with-score-0-78977", "kernel_id": "51413589"}, {"ref": "sapnasaw/titanic-machine-learning", "kernel_id": "51628706"}, {"ref": "alirizaercan/titanic-data-science-explained-and-details", "kernel_id": "51526092"}, {"ref": "brandonforney/getting-started-with-titanic", "kernel_id": "51182224"}, {"ref": "onyedirejesse/getting-started-with-titanic", "kernel_id": "51098279"}, {"ref": "hmagouirk/titanic-gender", "kernel_id": "51479664"}, {"ref": "aaliyahraderberg/titanic-binclass-plot", "kernel_id": "51398133"}, {"ref": "yuvam21/titanic", "kernel_id": "51065716"}, {"ref": "luiscfrancisco/titanic-solution", "kernel_id": "51608485"}, {"ref": "ericgoeres/a-titanic-starting-point", "kernel_id": "51277752"}, {"ref": "izzetcoco/titanic-eda", "kernel_id": "51828083"}, {"ref": "ukkkkkk/predictionontitanicds", "kernel_id": "51914320"}, {"ref": "abdulrahmanriyad/complete-sklearn-ml-model-titanic-dataset", "kernel_id": "51138747"}, {"ref": "farhandotdev/getting-started-with-titanic", "kernel_id": "51052154"}, {"ref": "ialtun/1-titanic-tfdf", "kernel_id": "51025823"}, {"ref": "noamlaub/assignment-3", "kernel_id": "51417260"}, {"ref": "katyat227/ml1-katya-danielle", "kernel_id": "51875900"}, {"ref": "ericguetta/guetta-homework2-titanic", "kernel_id": "51779006"}, {"ref": "tylerblack117/tylerblack-titanic", "kernel_id": "51133820"}, {"ref": "dnathan22/nathan-titanic", "kernel_id": "51133791"}, {"ref": "bryceadk/bryce-02-26-2024-titanic", "kernel_id": "51596872"}, {"ref": "bryceadk/bryce-03-13-2024-titanic-clustering", "kernel_id": "51796855"}, {"ref": "spnico/feb26-titanic-nw", "kernel_id": "51596290"}, {"ref": "spnico/gulustan-titanic-nw-lab3", "kernel_id": "51133726"}, {"ref": "phillipnikolov/phillip-nikolov-titanic", "kernel_id": "51133729"}, {"ref": "phillipnikolov/hw2-phillip-nikolov-titanic", "kernel_id": "51721622"}, {"ref": "mwinaryasepindiarto/exercise-arithmetic-and-variables", "kernel_id": "51067615"}, {"ref": "sap122100parman/exercise-arithmetic-and-variables", "kernel_id": "51173029"}, {"ref": "sajjadrahman56/titanic-disaster", "kernel_id": "51758360"}, {"ref": "mostafaelhabashy/top-6-titanic-dataset-full-guide", "kernel_id": "51044249"}, {"ref": "ashnaarora251/titanic-machine-learning-from-disaster", "kernel_id": "51014871"}, {"ref": "yuvalzaltsman/yuval-zaltsman-205908429-itay-nuriel-208959577", "kernel_id": "51023448"}, {"ref": "yairzeruya/task1-yairzeruya-206914392-adifinkelman-313741340", "kernel_id": "51415686"}, {"ref": "zufkishon/tzuf-kishon-318989456-guy-honen-315043117", "kernel_id": "51023589"}, {"ref": "shubhamjain1994/titanic-visuization", "kernel_id": "51109858"}, {"ref": "ganesh01patel/titanic-visualization", "kernel_id": "51109754"}, {"ref": "jatin73/notebookcc440ae694", "kernel_id": "51159550"}, {"ref": "shararehvahidi/exercise-arithmetic-and-variables", "kernel_id": "51472115"}, {"ref": "robertwilson23/titanic-deep-learning-classifier", "kernel_id": "51201881"}, {"ref": "michaellaitzhak/michaella-hw1", "kernel_id": "51205819"}, {"ref": "kyliekesner/titanic-attempt", "kernel_id": "51729462"}, {"ref": "anita2979/titanic", "kernel_id": "51401289"}, {"ref": "elhadeka/titanic-machine-learning-from-disaster", "kernel_id": "51517920"}, {"ref": "paramhanssingh/exercise-arithmetic-and-variables", "kernel_id": "51437957"}, {"ref": "higakai/titanic-tutorial", "kernel_id": "51437025"}, {"ref": "kaggler2211/titanic-survival", "kernel_id": "51457087"}, {"ref": "satyamsingh95/titanic-survival-2", "kernel_id": "51460483"}, {"ref": "racsharma26/titanic-gb", "kernel_id": "51481795"}, {"ref": "dianagurvits/diana-gurvits-notebook", "kernel_id": "51488648"}, {"ref": "saichandrasomidi/exercise-arithmetic-and-variables", "kernel_id": "51502859"}, {"ref": "saruphussain/titanic-dataset-exploratory-data-analysis", "kernel_id": "51525238"}, {"ref": "homework111/notebookf91038ab7b", "kernel_id": "51643787"}, {"ref": "anujsingh2002/titanic-gender", "kernel_id": "51531362"}, {"ref": "anujsingh2002/titanic-survival", "kernel_id": "51558903"}, {"ref": "jorgepaya/jp-titanic-competition", "kernel_id": "51915166"}, {"ref": "siddharthkodukula/titanic-competition", "kernel_id": "51729464"}, {"ref": "deepanshuchauhan2504/titanic1", "kernel_id": "51915827"}, {"ref": "shivamchoudhary6767/titanic-survival", "kernel_id": "51612984"}, {"ref": "shivamchoudhary6767/titanic-survival-2", "kernel_id": "51613689"}, {"ref": "aryantilekar/exercise-arithmetic-and-variables", "kernel_id": "51615806"}, {"ref": "aryantripathit/titanic-survival", "kernel_id": "51679075"}, {"ref": "aryantripathit/titanic-survival-2", "kernel_id": "51679425"}, {"ref": "andrewobstler/notebook1-titanic", "kernel_id": "51721893"}, {"ref": "govurushashikumar/notebookf655a2424d", "kernel_id": "51813867"}, {"ref": "vikrantkumardata/titanic-survival", "kernel_id": "51916949"}, {"ref": "teruyoshimatsushima/upura-kaggle-tutorial-01-first-submission", "kernel_id": "52651526"}, {"ref": "xiefei/sy1-metric", "kernel_id": "52687007"}, {"ref": "alinunet/titanic-submission", "kernel_id": "52513957"}, {"ref": "aisuko/titanic-question-with-tf-decision-forests", "kernel_id": "52217524"}, {"ref": "bantiitnab/titanic-sql", "kernel_id": "52594592"}, {"ref": "wjchua/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "52491255"}, {"ref": "stpeteishii/titanic-predcition-w-clustering-and-lgbm-ranker", "kernel_id": "52849328"}, {"ref": "karan131/titanic-dataset-logistic-regression", "kernel_id": "52678075"}, {"ref": "aloysiuschng/titanic-notebook", "kernel_id": "52566335"}, {"ref": "pranavgoyanka/notebook2791696bae", "kernel_id": "52889638"}, {"ref": "youssefsameh/titanic-model-performance-comparison-2024", "kernel_id": "52052983"}, {"ref": "youssefsameh/titanic-top-10-2024", "kernel_id": "52318748"}, {"ref": "jmaalves/my-titanic-model", "kernel_id": "52495681"}, {"ref": "mehmetcanduru/titanic-random-forest-classifier-0-8022", "kernel_id": "52039458"}, {"ref": "bunny11/titanic-survivors-xgboost", "kernel_id": "52920313"}, {"ref": "kristiannova/statistics-exercises", "kernel_id": "52728644"}, {"ref": "kristiannova/data-prep-dan-eda", "kernel_id": "52818773"}, {"ref": "tennillehardy/titanic-random-forest-classifier", "kernel_id": "52218849"}, {"ref": "zblaster/titanic-survival", "kernel_id": "52166303"}, {"ref": "haoqi0714/titanic-survivor-prediction-knn", "kernel_id": "52940438"}, {"ref": "rashidrk/ever-tried-out-xgbfir-with-optuna", "kernel_id": "52323744"}, {"ref": "moonisj/knn-vs-logistic-regression-vs-xgboost", "kernel_id": "52181344"}, {"ref": "tarushig/titanic-prediction-by-tarushi", "kernel_id": "52613764"}, {"ref": "dg563kfhfd9/titanic-advanced-feature-engineering-tutorial", "kernel_id": "52659451"}, {"ref": "arpitsinghaiml/titanic-competition", "kernel_id": "52041403"}, {"ref": "imuhammadayman/titanic", "kernel_id": "52587944"}, {"ref": "krist0phersmith/tabpfn-titanic", "kernel_id": "52616419"}, {"ref": "jpkochar/titanic-data-analysis-eda", "kernel_id": "52274905"}, {"ref": "faseehahmedkhan/titanic", "kernel_id": "52746853"}, {"ref": "devbachani/exploratory-data-analysis-on-titanic", "kernel_id": "52418364"}, {"ref": "mehdibenbiba/titanic-competition", "kernel_id": "52515999"}, {"ref": "ajayrajrathore/titanic-eda-knowing-the-ship", "kernel_id": "52837713"}, {"ref": "kelseyspeis/ks-test-titanic-v1", "kernel_id": "52692375"}, {"ref": "kelseyspeis/ks-titanic-submission", "kernel_id": "52344349"}, {"ref": "kelseyspeis/ks-titanic-v01", "kernel_id": "52795498"}, {"ref": "hknaralasetty/titanic-survival-prediction-xgb-86-accuracy", "kernel_id": "52825507"}, {"ref": "tiffanyseah/titantic-challenge", "kernel_id": "52292948"}, {"ref": "treycastle/trey-titanic-hw", "kernel_id": "52603436"}, {"ref": "atabakrezqi/titanic-data-analysis-age-handling-tutorial", "kernel_id": "52344165"}, {"ref": "stichesyt/linear-model-and-neural-net-from-scratch", "kernel_id": "52072342"}, {"ref": "napasakornboonkerd/problem-1-coding-6410545487", "kernel_id": "52072623"}, {"ref": "thanidacwn/linear-model-and-neural-net-from-scratch", "kernel_id": "52072398"}, {"ref": "korkatta/titanic-midterm", "kernel_id": "52074097"}, {"ref": "siravichterm/linear-model-and-neural-net-from-scratch", "kernel_id": "52072440"}, {"ref": "mynameiskaveh/the-fastest-and-easiest-titanic-survival-predict", "kernel_id": "52232574"}, {"ref": "jiratchayaphinyodom/linear-model-and-neural-net-from-scratch", "kernel_id": "52077183"}, {"ref": "ziechan/cs506midterm", "kernel_id": "52666043"}, {"ref": "shivanikovatatiana/first-titanic-with-decision-tree-plot", "kernel_id": "52181909"}, {"ref": "cchen002/random-forest-accuracy-83-4-survival-prediction", "kernel_id": "52449746"}, {"ref": "devbilalkhan/titanic-beginner-friendly-with-92-accuracy", "kernel_id": "52270967"}, {"ref": "devbilalkhan/exploring-patterns-in-passenger-names", "kernel_id": "52161055"}, {"ref": "vedant2003pandey/titanicdataset-best-score-77531", "kernel_id": "52908628"}, {"ref": "tommzy/titanic-survivor-prediction-knn", "kernel_id": "52950566"}, {"ref": "gennadiimanzhos/pycaret-automl-16-classic-ml-methods-in-one", "kernel_id": "52603779"}, {"ref": "miracgokmen/titanic-eda", "kernel_id": "52318275"}, {"ref": "divyatejavenkat/titanic", "kernel_id": "52570638"}, {"ref": "amirfateminejhad/notebookb9afd075a5", "kernel_id": "52811369"}, {"ref": "karthiprasad04/titanic-disaster", "kernel_id": "52570916"}, {"ref": "marylka/titanic-ml-competition-decision-tree", "kernel_id": "52806331"}, {"ref": "edwardpaologuevarra/titanic-study-python", "kernel_id": "52589082"}, {"ref": "angelaqinn/titanic-survival-prediction", "kernel_id": "52128157"}, {"ref": "adityasarda281993/notebook8035730160", "kernel_id": "52116980"}, {"ref": "carloscll/atom-ml-quick-start", "kernel_id": "52819790"}, {"ref": "joker2plm/use-knn-to-predict-survival", "kernel_id": "52217035"}, {"ref": "rayanbessadi/beginner-notebook-intro-to-data-science-titanic", "kernel_id": "52360472"}, {"ref": "ozgursanli/finished-titanic-with-scaler", "kernel_id": "52056371"}, {"ref": "sarthakchauhan0/titanic-random-forest-77-5-accuracy", "kernel_id": "52132770"}, {"ref": "beyazituysal/titanic-eda-and-classification", "kernel_id": "52394805"}, {"ref": "cristhianccalah/titanic-machine-learning-from-disaster-svm", "kernel_id": "52812402"}, {"ref": "cristhianccalah/titanic-machine-learning-from-disaster-vc", "kernel_id": "52814625"}, {"ref": "xudongwang123/notebook3dbed3cf08", "kernel_id": "52202497"}, {"ref": "kamilacasconi/kc-titanic-v01", "kernel_id": "52617863"}, {"ref": "kamilacasconi/kc-titanic-submission", "kernel_id": "52885988"}, {"ref": "warren66/titanic-survival-prediction-accuracy-83", "kernel_id": "52017777"}, {"ref": "nigeltanyong/exercise-arithmetic-and-variables", "kernel_id": "52851160"}, {"ref": "pushpanderkumar/titanic-ml-solution-77-accuracy", "kernel_id": "52314804"}, {"ref": "parthdande/titanic-model-prediction", "kernel_id": "52361255"}, {"ref": "mikestvictor/msv-titanic-class-submission", "kernel_id": "52880059"}, {"ref": "mikestvictor/msv-titanic-v01", "kernel_id": "52761426"}, {"ref": "anjali2001798/titanic-data-analysis", "kernel_id": "52466503"}, {"ref": "jitpanunopwijit/test-1", "kernel_id": "52073351"}, {"ref": "trippinglettuce/titanic-first-submision", "kernel_id": "52189747"}, {"ref": "tanabodeeyambangyang/6410545754-problem1", "kernel_id": "52072325"}, {"ref": "anikethhhh/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "52735159"}, {"ref": "chamarakgajaseni/deep-learning-problem1", "kernel_id": "52050771"}, {"ref": "amikigreat/ao-titantic-submission", "kernel_id": "52891325"}, {"ref": "amikigreat/go-titanic-v01", "kernel_id": "52687217"}, {"ref": "irbr369/titanic-pred-using-optimized-decision-tree", "kernel_id": "52670039"}, {"ref": "alexmendoza95/am-titanic-v01", "kernel_id": "52599932"}, {"ref": "alexmendoza95/am-titanic-submission", "kernel_id": "52601175"}, {"ref": "yossefmohammed/titanic-analysis-eda", "kernel_id": "52235190"}, {"ref": "anadyasahai/titanic-ml-anadya", "kernel_id": "52246270"}, {"ref": "shadesh/comparing-knn-vs-neural-networks-for-titanic-surv", "kernel_id": "52305388"}, {"ref": "abdulqadeer48/titanic-machine-learning", "kernel_id": "52620160"}, {"ref": "freewifii/1-titanic-machine-learning-from-disaster", "kernel_id": "52164784"}, {"ref": "markyang90/knn-only", "kernel_id": "52132522"}, {"ref": "rictrix/processing-and-forecasting", "kernel_id": "52664289"}, {"ref": "kassimolawale/random-forest-92-accuracy", "kernel_id": "52665075"}, {"ref": "tsylpyf6od/notebookb0d4f6d549", "kernel_id": "52364465"}, {"ref": "chenningyun/titanic", "kernel_id": "52403845"}, {"ref": "fr4nc1slee/endless-sinking-titanic", "kernel_id": "52222959"}, {"ref": "janamapatel/titanic-demo", "kernel_id": "52970091"}, {"ref": "oleksiilatypov/titanic-ml-fversion", "kernel_id": "52794833"}, {"ref": "m0hammadjavad/titanic-disaster", "kernel_id": "52593222"}, {"ref": "kbdharun/exercise-arithmetic-and-variables", "kernel_id": "52162446"}, {"ref": "ggoyadduya/titanic-example-korean-ver", "kernel_id": "52288866"}, {"ref": "divanshukumar019/my-first-competion-titanic-data", "kernel_id": "52441960"}, {"ref": "shehriaralikhan/titanic-dataset", "kernel_id": "52853899"}, {"ref": "cristianojoseblanco/getting-started-with-titanic", "kernel_id": "52246165"}, {"ref": "behnamroustaeii/titanicclassification", "kernel_id": "52702522"}, {"ref": "hjiseok/titanic-mfk", "kernel_id": "52085335"}, {"ref": "alexflorentin/titanic-competition", "kernel_id": "52713605"}, {"ref": "elfaqar/exploring-passenger-records-titanic-data-analysis", "kernel_id": "52856645"}, {"ref": "sarincasm/why-you-should-use-a-framework", "kernel_id": "52613118"}, {"ref": "sarincasm/linear-model-and-neural-net-from-scratch", "kernel_id": "52610108"}, {"ref": "tonnyk/tonny-titanic", "kernel_id": "52393349"}, {"ref": "hojuna/fork-of-titanic-my-first-kaggle", "kernel_id": "52277408"}, {"ref": "tarmuji/exercise-arithmetic-and-variables", "kernel_id": "52441164"}, {"ref": "umairabbasi6/with-explanation-rf-and-xgb-classifier-0-77033", "kernel_id": "52989196"}, {"ref": "zlemilhan/titanic", "kernel_id": "52637813"}, {"ref": "leonidvashchyn/titanic-eda-random-forest", "kernel_id": "52228135"}, {"ref": "chris5743/cf-titanic-v01", "kernel_id": "52888193"}, {"ref": "alisalee/titanic-challenge", "kernel_id": "52402866"}, {"ref": "mertkont/titanic-dataset-s-pca-kernel-pca-mds-with-cv", "kernel_id": "52700412"}, {"ref": "karweii/titanic-demo", "kernel_id": "52164249"}, {"ref": "zhen7gg/cs506", "kernel_id": "52893300"}, {"ref": "satoaki1/survival-prediction-lr-with-98-8-accuracy", "kernel_id": "52509299"}, {"ref": "rassiem/titanic-survival-prediction", "kernel_id": "52800169"}, {"ref": "keshavmalhotra10/titanic-round-2", "kernel_id": "52005084"}, {"ref": "onatsezer/prediction-titanic-dataset-using-feature-engineeri", "kernel_id": "52776869"}, {"ref": "dribrahimkaya45/prediction-using-feature-engeneering", "kernel_id": "52776632"}, {"ref": "dribrahimkaya45/feature-extraction", "kernel_id": "52289555"}, {"ref": "stacey06/1st-titanic-prediction", "kernel_id": "52680837"}, {"ref": "rahimkk/titanic-machine-learning-from-disaster", "kernel_id": "52873625"}, {"ref": "asadahmad19/titanic", "kernel_id": "52149115"}, {"ref": "asadahmad19/titanic-using-decision-tree", "kernel_id": "52354840"}, {"ref": "ipekdogabedirhan/prediction-titanic-dataset-ml", "kernel_id": "52776722"}, {"ref": "yagizcapa/prediction-titanic-dataset-feature-engineering", "kernel_id": "52776641"}, {"ref": "yagizcapa/feature-extraction-analytics", "kernel_id": "52289358"}, {"ref": "yt926a/titanic", "kernel_id": "52287328"}, {"ref": "saimondahal/titanic-eda-navigating-familiar-waters", "kernel_id": "52204422"}, {"ref": "science182lonzozou/notebookdda7600826", "kernel_id": "52088133"}, {"ref": "murilozangari/titanic-survival-prediction", "kernel_id": "52604988"}, {"ref": "avinashtokada25/titanic-logistic-regression", "kernel_id": "52713671"}, {"ref": "jindot/1-titanic-beginner", "kernel_id": "52981984"}, {"ref": "jenshuochen/titanic-rf-step-by-step-and-the-problems-i-met", "kernel_id": "52231647"}, {"ref": "agastyapatel/building-nn-from-scratch", "kernel_id": "52028378"}, {"ref": "jiinuukim/titanic", "kernel_id": "52267483"}, {"ref": "mminemirhandarka/titanic-keras", "kernel_id": "52052373"}, {"ref": "aarishasifkhan/titanic-disaster-predictive-analysis-dl-ml", "kernel_id": "52235515"}, {"ref": "sounak131/spark4ai", "kernel_id": "52780006"}, {"ref": "gourabr0y555/easy-xgboost-solution-titanic", "kernel_id": "52853442"}, {"ref": "xaviercedric/titanic-prediction-79-accuracy", "kernel_id": "52639077"}, {"ref": "xaviercedric/titanic-prediction-83-accuracy", "kernel_id": "52845526"}, {"ref": "siripam/deep-learning-neural-net-from-scratch-for-titanic", "kernel_id": "52072340"}, {"ref": "jindapornsookying/problem1-deep-learning-neural-net-from-scratch", "kernel_id": "52073236"}, {"ref": "helloyeew/titanic-deep-learning", "kernel_id": "52073193"}, {"ref": "panupanjanin/linear-model-and-neural-net-from-scratch", "kernel_id": "52073871"}, {"ref": "nirbhaytambe/titanic", "kernel_id": "52574387"}, {"ref": "chamodimalshani/titanic-dataset-solution", "kernel_id": "52662356"}, {"ref": "afiqamjadbinkhairir/midterm-prep-1-worksheet-12", "kernel_id": "52786858"}, {"ref": "cjyjoeychen/junyu-worksheet12-midprep", "kernel_id": "52939602"}, {"ref": "madeleineacevedo/knn-titanic-survival-prediction", "kernel_id": "52951483"}, {"ref": "thrujung/titanic-knn", "kernel_id": "52275701"}, {"ref": "sabirulislam/titanic-2-0-78", "kernel_id": "52728197"}, {"ref": "denisschedrin/titanic-model-2", "kernel_id": "52588688"}, {"ref": "keisee00/titanic-kaggle-competition", "kernel_id": "52176999"}, {"ref": "abdelrahmanmfam/titanic-competition-pytorch-neural-network", "kernel_id": "52976237"}, {"ref": "sergstav/notebook595b8c4835", "kernel_id": "52191002"}, {"ref": "royrubinse/inbarzafarandroyrubinnotebook3", "kernel_id": "52715148"}, {"ref": "alihaydardzenli/titanic-project", "kernel_id": "52426401"}, {"ref": "ruqayaalzien/titanic-survival-prediction", "kernel_id": "52875501"}, {"ref": "davidg960/xgboost-classifier", "kernel_id": "52317941"}, {"ref": "saadshakeelabbasi/titanic-tutorial", "kernel_id": "52744203"}, {"ref": "moeneschaari/titanic-prediction", "kernel_id": "52925822"}, {"ref": "unsername/titanic", "kernel_id": "52754876"}, {"ref": "vknight0/titanic", "kernel_id": "52928485"}, {"ref": "yandrire/titanic-memprediksi-penumpang-mana-yang-selamat", "kernel_id": "52211210"}, {"ref": "dongruoyang/machine-learning-for-disaster", "kernel_id": "52460560"}, {"ref": "yasinkaanyiit/titanic-survived-ml", "kernel_id": "52611992"}, {"ref": "colabop/comprehensive-eda-with-nice-graphs-82e4f7", "kernel_id": "52017172"}, {"ref": "semanuroral/titanic-project", "kernel_id": "52171883"}, {"ref": "gitaxs/titanic-tutorial", "kernel_id": "52113355"}, {"ref": "hediyebuhur/titanic-project", "kernel_id": "52178958"}, {"ref": "mickygreen/titanic", "kernel_id": "52046324"}, {"ref": "alexdavidr/exercise-arithmetic-and-variables", "kernel_id": "52101700"}, {"ref": "aweroesp/assignment-2-1-titanic", "kernel_id": "52490621"}, {"ref": "eduardoulloav/titanic-top-9", "kernel_id": "52410962"}, {"ref": "cloudzhang910/xgboost", "kernel_id": "52372640"}, {"ref": "herricktsang/random-forest", "kernel_id": "52046885"}, {"ref": "aadiar/rf-with-hyperparameter-tuning", "kernel_id": "52130836"}, {"ref": "nirupamaag/titanic-first-machine-learning-problem", "kernel_id": "52078536"}, {"ref": "harshithakondampally/logistic-regression-for-binary-classification-task", "kernel_id": "52097972"}, {"ref": "alvinpatron/getting-started-with-titanic", "kernel_id": "52007352"}, {"ref": "guilhermemunizcosta/titanic-tutorial", "kernel_id": "52128399"}, {"ref": "barabulos/notebooka586c91350", "kernel_id": "52156847"}, {"ref": "wisarutpongpunkasem/bis624-project-titanic", "kernel_id": "52234034"}, {"ref": "benkzl/titanic-machine-learning-from-disaster", "kernel_id": "52671580"}, {"ref": "dmcstllc/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "52639621"}, {"ref": "nmanne31/nm-titanic-v01", "kernel_id": "52463119"}, {"ref": "nmanne31/nm-titanic-submission", "kernel_id": "52556613"}, {"ref": "larasora/notebookdcb9e4fe06", "kernel_id": "52564386"}, {"ref": "pruthvirajponnam/exercise-arithmetic-and-variables", "kernel_id": "52535284"}, {"ref": "dilshinimesha/titanic-dataset", "kernel_id": "52660369"}, {"ref": "hakankaralar/titanic-eda-2", "kernel_id": "52803216"}, {"ref": "aqibjaved0301/titanic-study-python", "kernel_id": "52655869"}, {"ref": "rpsingh19/exercise-arithmetic-and-variables", "kernel_id": "52656448"}, {"ref": "kelechibassey/kb-titanic-v01", "kernel_id": "52880229"}, {"ref": "kelechibassey/kb-titanic-submission-v04", "kernel_id": "52891220"}, {"ref": "ggaragiola/gwg-titanic-submission", "kernel_id": "52872867"}, {"ref": "ggaragiola/gwg-titanic-v01", "kernel_id": "52809509"}, {"ref": "tcmotohiro/titanic-japanese-8ac161", "kernel_id": "52692170"}, {"ref": "devjareo/dj-titanic-v01", "kernel_id": "52871034"}, {"ref": "yuhonghan1111/titanic-correct", "kernel_id": "52693580"}, {"ref": "asmatullah1980/titanic-dataset-eda", "kernel_id": "52705600"}, {"ref": "mahendramedapati/prediction-of-titanic-by-neural-network", "kernel_id": "52988882"}, {"ref": "jacksondmc/getting-started-with-titanic", "kernel_id": "52709503"}, {"ref": "dmitrykonovalov/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "53637005"}, {"ref": "dmitrykonovalov/fastai-lesson-5b-use-a-framework", "kernel_id": "53638792"}, {"ref": "dmitrykonovalov/fastai-lesson-6a-random-forests", "kernel_id": "53693410"}, {"ref": "aspillai/titanic-feature-engg-xgboost-cv", "kernel_id": "53529579"}, {"ref": "yauhenb/notebook78c4f417f3", "kernel_id": "53102253"}, {"ref": "bkozlovskyi/titanic-bagging-randomforest", "kernel_id": "53418199"}, {"ref": "slavrine/tutorial-titanic-data-science-solutions", "kernel_id": "53157672"}, {"ref": "sjikamade/exercise-arithmetic-and-variables", "kernel_id": "53398907"}, {"ref": "asubasi/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "53408831"}, {"ref": "tanakataro73/kaggle-book-shinoda-chapter-0310-titanic-analysis", "kernel_id": "53630297"}, {"ref": "tanakataro73/kaggle-book-shinoda-chapter-0301-0309-titanic", "kernel_id": "53535910"}, {"ref": "junaid01/binary-classification-of-using-tensorflow-library", "kernel_id": "53507899"}, {"ref": "mvvppp/notebook298d1a32e1", "kernel_id": "53093237"}, {"ref": "wangchenxu/titanic-submit-test", "kernel_id": "53053204"}, {"ref": "farzamalam/titanic-using-deep-learning-with-fastai", "kernel_id": "53670406"}, {"ref": "nicholastqs/normal-titanic-sit-labp5-group8", "kernel_id": "53343379"}, {"ref": "grayhanes/titanic-notebook", "kernel_id": "53679859"}, {"ref": "eclipser33/titanic-ml", "kernel_id": "53395837"}, {"ref": "maxielias/titanic-prediction-pipeline", "kernel_id": "53252676"}, {"ref": "boscochanam/titanic-eda", "kernel_id": "53542202"}, {"ref": "boscochanam/notebookaa1bb33004", "kernel_id": "53817470"}, {"ref": "boscochanam/dataiteam-titanic-eda", "kernel_id": "53703898"}, {"ref": "hajarkhagd/decision-trees-classifie", "kernel_id": "53059879"}, {"ref": "hajarkhagd/svm-classification", "kernel_id": "53069901"}, {"ref": "dhruvdmahajan/fourier-series-animation", "kernel_id": "53498123"}, {"ref": "dhruvdmahajan/logistic-part2", "kernel_id": "53355913"}, {"ref": "haroon669/titanic-survived-prediction-with-xgboost", "kernel_id": "53209025"}, {"ref": "diaakotb/my-first-ml-notebook", "kernel_id": "53632346"}, {"ref": "hobeomlee/classification-catboost-easy-simple", "kernel_id": "53633870"}, {"ref": "haoqi0714/titanic-survivor-prediction-ensemble", "kernel_id": "53317726"}, {"ref": "marcpaulo/lightgbm-1m-titanic-passengers", "kernel_id": "53285934"}, {"ref": "marcpaulo/check-original-patterns", "kernel_id": "53265007"}, {"ref": "manasabrao/notebook17a6fe7c16", "kernel_id": "53731583"}, {"ref": "uselessbrainan/mindvalley-aicourse-level1-session4", "kernel_id": "53097061"}, {"ref": "youssefeserag/homework-2", "kernel_id": "53381360"}, {"ref": "alexmas1991/titanic-survival-rate-machine-learning", "kernel_id": "53074865"}, {"ref": "dogukantabak/acc-84", "kernel_id": "53201165"}, {"ref": "bouachachamelnadir/titanic-disaster-prediction", "kernel_id": "53190840"}, {"ref": "serkandurmussaglam/titanic-survive-prediction-with-knn", "kernel_id": "53005903"}, {"ref": "serkandurmussaglam/titanic-survive-prediction-with-neural-network", "kernel_id": "53097420"}, {"ref": "manas28/titanic-pytorch-ann", "kernel_id": "53279561"}, {"ref": "jayambe36/titanic-random-forest-model", "kernel_id": "53720044"}, {"ref": "jayambe36/my-first-code-for-data-science", "kernel_id": "53715829"}, {"ref": "nimishshandilya/titanic-without-using-pipeline", "kernel_id": "53243156"}, {"ref": "mohammedmoinuddin/ml-bootcamp-resource-pandas-and-regression", "kernel_id": "53151130"}, {"ref": "sharad3162/titanic-submission", "kernel_id": "53448613"}, {"ref": "dhruvparsaniya/eda-titanic", "kernel_id": "53170848"}, {"ref": "abdelrahmanekhaldi/intro-to-encoding-in-ml", "kernel_id": "53640559"}, {"ref": "subhiarjaria09/notebook6d98c83040", "kernel_id": "53544019"}, {"ref": "ibrahemalhusseine/titanic-model-with-98-accuracy", "kernel_id": "53333028"}, {"ref": "abenezertesfaye/titanic-survival-prediction-logistic-regression", "kernel_id": "53354810"}, {"ref": "alibekabduaxadov/titanic-survivors-predict", "kernel_id": "53867119"}, {"ref": "anothertrain/titanic", "kernel_id": "53004925"}, {"ref": "iantgcampbell/titanic-data-exploration-and-analysis", "kernel_id": "53303615"}, {"ref": "tommzy/titanic-survivor-prediction-ensemble", "kernel_id": "53319877"}, {"ref": "kixiev/python-intermedio-1", "kernel_id": "53580831"}, {"ref": "makarakinishin/first-steps-eda-fe-models-enhancement", "kernel_id": "53312691"}, {"ref": "aprilhyeonjinkim/practice-titanic", "kernel_id": "53913667"}, {"ref": "hadilaffes1/predict-survival-on-the-titanic", "kernel_id": "53192588"}, {"ref": "liamkell/aer-lingus-interview", "kernel_id": "53827267"}, {"ref": "veryimportanttuna/machine-learning-from-disaster-titanic", "kernel_id": "53475975"}, {"ref": "mariana65/getting-started-with-titanic", "kernel_id": "53869634"}, {"ref": "kevintandonbtech2022/dataiteam-titanic-eda", "kernel_id": "53624275"}, {"ref": "husaynshawer/new-titanic-prediction", "kernel_id": "53297524"}, {"ref": "muhammadaliahson/desicion-tree-titanic-dataset", "kernel_id": "53102404"}, {"ref": "rebaiahmad/titanic-classification", "kernel_id": "53075367"}, {"ref": "adveatprasadkarnik/csv-visualization-via-pandasai-langchain-with-groq", "kernel_id": "53613367"}, {"ref": "anjalsanand/titanic-survival-prediction", "kernel_id": "53471381"}, {"ref": "aidinhan/random-forest-pipeline", "kernel_id": "53789281"}, {"ref": "jasonliowyihuan/titanic-machine-learning", "kernel_id": "53801663"}, {"ref": "sohilaredaeldally/titanic-eda", "kernel_id": "53531894"}, {"ref": "ayakouks/titanic-competition", "kernel_id": "53350600"}, {"ref": "abishaalichan/titanic-dataset", "kernel_id": "53514747"}, {"ref": "harshavardhanpatil64/titanic-disaster-prediction", "kernel_id": "53178313"}, {"ref": "qihangkylechen/titanic-random-forest-82-accuracy", "kernel_id": "53209556"}, {"ref": "styreep/acecom-ia-binary-classification-model-repository", "kernel_id": "53685089"}, {"ref": "kairo0628/titanic-using-votingclassifier-optuna", "kernel_id": "53854295"}, {"ref": "tnguyen198/notebooke36bf39457", "kernel_id": "53043209"}, {"ref": "umutberkekoc/eda-titanic-classification-ml", "kernel_id": "53354151"}, {"ref": "shadesh/titanic-machine-learning-from-disaster", "kernel_id": "53748317"}, {"ref": "syndicate2k/titanic-randomforest", "kernel_id": "53504931"}, {"ref": "rcamith/exercise-arithmetic-and-variables", "kernel_id": "53132419"}, {"ref": "markyang90/knn-decision-trees-and-naive-bayes-ensemble", "kernel_id": "53199817"}, {"ref": "arpansin/titanicdata-voting-clf", "kernel_id": "53546333"}, {"ref": "jackalovich/titanic-competition-1st-attempt-using-tidymodels-r", "kernel_id": "53729787"}, {"ref": "zaed2003/titanic-competition-project", "kernel_id": "53828866"}, {"ref": "brotiger/titanik-lr-knn-catboost", "kernel_id": "53203019"}, {"ref": "vickyvu71/vyvu-titanic-svm-randomforest-neuralnetwork", "kernel_id": "53220899"}, {"ref": "mostafarifat/titanic", "kernel_id": "53655446"}, {"ref": "muhammedkse/muhammedkse-titanic-eda", "kernel_id": "53557210"}, {"ref": "erastusirungu/ml-titanic-getting-started", "kernel_id": "53972784"}, {"ref": "bezumec/titanic-first", "kernel_id": "53443105"}, {"ref": "sakethyalamanchili/titanic-survival-prediction", "kernel_id": "53141083"}, {"ref": "arashsanaiha/restarting-from-best-notebook", "kernel_id": "53090671"}, {"ref": "abdmental01/embark-on-titanic-a-beginner-s-journey-through-ml", "kernel_id": "53361666"}, {"ref": "faisalmathcs/titanic-survivers", "kernel_id": "53693905"}, {"ref": "joaoesmoreira/starting-kaggling-with-titanic", "kernel_id": "53624120"}, {"ref": "adarsh0063/titanic-dataset", "kernel_id": "53062748"}, {"ref": "zhongxiao37/pzhong-titanic", "kernel_id": "53195893"}, {"ref": "hosseinalibeiki/knn-titanic-survival-prediction", "kernel_id": "53346303"}, {"ref": "khangtran94vn/khang-94-vn-titanic", "kernel_id": "53856254"}, {"ref": "cseongz/titanic-basic-solution-using-randomforest", "kernel_id": "53325027"}, {"ref": "cseongz/notebookcsm", "kernel_id": "53316837"}, {"ref": "rohitsingh6263/titanic-prediction-of-survived", "kernel_id": "53491509"}, {"ref": "tysonmarksadobe/embeddings", "kernel_id": "53211403"}, {"ref": "kirahhayatdata/titanic-s-eda", "kernel_id": "53006200"}, {"ref": "thomas1999h/titanic", "kernel_id": "53195108"}, {"ref": "anotherang/titanic", "kernel_id": "53245634"}, {"ref": "agastyapatel/one-r-decision-trees-random-forests", "kernel_id": "53407030"}, {"ref": "agastyapatel/working-with-framework-tabular-analysis", "kernel_id": "53352630"}, {"ref": "oguzuzan/titanic-survival-prediction", "kernel_id": "53396970"}, {"ref": "romainmasson3/exercices-ml-romain-masson", "kernel_id": "53748288"}, {"ref": "deepkalsariya/titanic-solution", "kernel_id": "53353230"}, {"ref": "senemmergenci/titanic", "kernel_id": "53718930"}, {"ref": "reemasolan/titanic-machine-learning-from-disaster", "kernel_id": "53352308"}, {"ref": "kysd2023/automl-for-titanic", "kernel_id": "53391661"}, {"ref": "yagooo/titanic-eda", "kernel_id": "53287956"}, {"ref": "heminoid/titanic-dataset-using-neural-network-easy-learn", "kernel_id": "53011711"}, {"ref": "xaviercedric/titanic-eda-prediction-with-gridcv-accuracy-84", "kernel_id": "53129891"}, {"ref": "xavierfonseca/titanic-competition-xavierfonseca", "kernel_id": "53085232"}, {"ref": "nileshds/begineer-friendly-soln-with-logistic-regression", "kernel_id": "53274764"}, {"ref": "sanalpillai/titanic-machine-learning-from-disaster-submission", "kernel_id": "53106512"}, {"ref": "pranalichipkar/titanic-survival-rate-prediction", "kernel_id": "53536488"}, {"ref": "omrisason/titanic-afeka", "kernel_id": "53888911"}, {"ref": "jsh00325/data-science-practice", "kernel_id": "53699863"}, {"ref": "cjyjoeychen/worksheet14-midprep-junyuchen", "kernel_id": "53318882"}, {"ref": "mohammedaldahmani/titanic2", "kernel_id": "53276523"}, {"ref": "denisschedrin/titanic-model-3", "kernel_id": "53988366"}, {"ref": "iwillingly/notebook24cc2433d5", "kernel_id": "53316660"}, {"ref": "adityapandey12/titanic-single-sample-t-test", "kernel_id": "53286075"}, {"ref": "thatchakornmu/bis624-logistic-regression", "kernel_id": "53015409"}, {"ref": "tasnim2206/titanic-data-analysis", "kernel_id": "53174619"}, {"ref": "lekythanhliem/kc-titanic-s-machine-learning-from-disaster", "kernel_id": "53797636"}, {"ref": "piotrniezabitowski/titanic-submission", "kernel_id": "53679372"}, {"ref": "aaronfriasr/titanic-passenger-survival-prediction-grid-cv", "kernel_id": "53522650"}, {"ref": "kwanhyokim/titanic-practice", "kernel_id": "53913603"}, {"ref": "sergstav/serg-stav-notebook-native-bagging-titanic", "kernel_id": "53423754"}, {"ref": "mwong20/notebook8b95f77c15", "kernel_id": "53315253"}, {"ref": "instockap/titanic-prediction", "kernel_id": "53192323"}, {"ref": "ohjeseok/pandas-presentation", "kernel_id": "53699881"}, {"ref": "zufkishon/tzuf-kishon-318989456-guy-honen-315043117-ex-3", "kernel_id": "53612796"}, {"ref": "mykhailokaschiy/titanic-competition", "kernel_id": "53141302"}, {"ref": "tayyibeateken/guessing-the-survivors", "kernel_id": "53053090"}, {"ref": "dominiksidorczuk93/titanic", "kernel_id": "53474112"}, {"ref": "omarattieh/titanic-ann", "kernel_id": "53898420"}, {"ref": "ss8188/titanic-preds", "kernel_id": "53067162"}, {"ref": "elza10/titanic-survival-prediction", "kernel_id": "53347027"}, {"ref": "nathanaeltamirat/titanic-survival-prediction", "kernel_id": "53651407"}, {"ref": "trnghoigiang/house-price-predict", "kernel_id": "53967325"}, {"ref": "vasundhras/titanic-1", "kernel_id": "53011320"}, {"ref": "justinkentcavosora/titanic-with-def", "kernel_id": "53542808"}, {"ref": "aeymenbilir/eym-team-titanik-eda", "kernel_id": "53325082"}, {"ref": "patsont/titanic", "kernel_id": "53838094"}, {"ref": "mahnoornavaid/starting-with-titanic", "kernel_id": "53016780"}, {"ref": "mahnoornavaid/exercise-arithmetic-and-variables", "kernel_id": "53015892"}, {"ref": "keyurpanchal1991/getting-started-with-titanic-random-forest", "kernel_id": "53605398"}, {"ref": "anavaofirnahshon/titanic-challenge-by-ofir-and-maxim", "kernel_id": "53468126"}, {"ref": "mrnosaj/engineered-features-galore", "kernel_id": "53121413"}, {"ref": "iclaldogan/getting-started-with-titanic", "kernel_id": "53866123"}, {"ref": "lasm0611/first-try", "kernel_id": "53042436"}, {"ref": "juliadeswartdcg/titanic", "kernel_id": "53195122"}, {"ref": "tolgabatrk/basturk-titanic-eda", "kernel_id": "53159624"}, {"ref": "zbindenzahlen/titanic-submission-model-voting", "kernel_id": "53321373"}, {"ref": "paramecium10/linear-model-and-neural-net-from-scratch", "kernel_id": "53284674"}, {"ref": "hakankaralar/titanic-eda", "kernel_id": "53260204"}, {"ref": "gameloverslk/titanic-classification", "kernel_id": "53535756"}, {"ref": "devmarjo/notebookeb9150182f", "kernel_id": "53939958"}, {"ref": "slavikpanasiuk/notebookb72e3e2965", "kernel_id": "53093783"}, {"ref": "joshuafooch/titanic-competition", "kernel_id": "53003251"}, {"ref": "santiagoriverasa/getting-started-with-titanic-santiagorivera", "kernel_id": "53806401"}, {"ref": "smarcle/zstep-titanic", "kernel_id": "53952382"}, {"ref": "rangsimant/bis624-random-forest", "kernel_id": "53070936"}, {"ref": "marufhasansami/202011062-titanic-data-analysis", "kernel_id": "53088168"}, {"ref": "ravalmeett/catboost-titanic-ml-implementation", "kernel_id": "53229656"}, {"ref": "themyf/getting-started-with-titanic", "kernel_id": "53428890"}, {"ref": "hemantsgaikwad7/the-titanic-hg", "kernel_id": "53520147"}, {"ref": "rituparnomajumdar/titanic-machine-learning-from-disaster", "kernel_id": "53480940"}, {"ref": "sanginitripathi/exercise-arithmetic-and-variables", "kernel_id": "53305581"}, {"ref": "brahmadev02/titanic-baseline-1st-project", "kernel_id": "53301069"}, {"ref": "marianaseem99/exercise-arithmetic-and-variables", "kernel_id": "53307408"}, {"ref": "ajitps/notebook621ef98640-ajit", "kernel_id": "53527040"}, {"ref": "lebinhthanh/for-newbies-create-simple-random-forest-model", "kernel_id": "53479153"}, {"ref": "forammewada/titanic-tutorial", "kernel_id": "53491526"}, {"ref": "teamp306/titanic-submission", "kernel_id": "53562520"}, {"ref": "vulehaugiang/titanic-solution-with-r-hau-giang-from-vietnam", "kernel_id": "53938365"}, {"ref": "cheshta09/titanic-ml-from-disaster", "kernel_id": "53814916"}, {"ref": "tanyasinghrajawat/titanic-survival-2", "kernel_id": "53776110"}, {"ref": "saisameer2457/titanic-prediction", "kernel_id": "53817567"}, {"ref": "ddubs420/top-titanic-solution-8-precision", "kernel_id": "53821864"}, {"ref": "ritheshkv/titanic-prediction", "kernel_id": "54246563"}, {"ref": "lgl12b/titanic-randomforest", "kernel_id": "54374731"}, {"ref": "manojajj/logistic-regression-model", "kernel_id": "54736538"}, {"ref": "subhrasmukherjee/titanic", "kernel_id": "54787929"}, {"ref": "ngaruniki/a-guide-to-handling-missing-values-in-python", "kernel_id": "54728823"}, {"ref": "jtv199/linear-model-and-neural-net-from-scratch", "kernel_id": "54385955"}, {"ref": "chairchandler/titanic-v1-basic", "kernel_id": "54817619"}, {"ref": "chairchandler/titanic-v2-new-features", "kernel_id": "54979623"}, {"ref": "faizanshaikh/titanic-competition", "kernel_id": "54531874"}, {"ref": "jshwan0828/syu-jung", "kernel_id": "54813089"}, {"ref": "anantha474/eda-beginners-titanic-dataset", "kernel_id": "54374350"}, {"ref": "emranaljawarneh/titanic-survived-prediction", "kernel_id": "54740695"}, {"ref": "aadishsharma/titanic-prediction", "kernel_id": "54154550"}, {"ref": "shuuuuuun/titanic-eda-randomforest-xgboost", "kernel_id": "54120276"}, {"ref": "mukulsaipendem/titanic-mukul", "kernel_id": "54514327"}, {"ref": "lakers430/from-the-titanik", "kernel_id": "54506957"}, {"ref": "mos3santos/exercise-arithmetic-and-variables", "kernel_id": "54678391"}, {"ref": "danielfilippov/testing-different-ml-models-on-the-titanic", "kernel_id": "54214353"}, {"ref": "majidhussain360/titanic-classification-using-random-forest", "kernel_id": "54216723"}, {"ref": "sherryreedus/titanic-machine-learning-for-disaster", "kernel_id": "54791584"}, {"ref": "barismertbener/titanic-ann", "kernel_id": "54311140"}, {"ref": "raminhuseyn/titanic-dataset-random-forest-with-xgboost-model", "kernel_id": "54622104"}, {"ref": "thisiserfan/titanic-eda-cleaning-featureengineering-modeling", "kernel_id": "54662588"}, {"ref": "hakieuanh/notebook64358756e8", "kernel_id": "54636633"}, {"ref": "josepnc/getting-started-with-titanic", "kernel_id": "54808611"}, {"ref": "arnavmohod/starting-kaggle-with-titanic-survival-prediction", "kernel_id": "54769388"}, {"ref": "junioroliveiramendes/titanic-machine-learning-from-disaster-v", "kernel_id": "54990180"}, {"ref": "junioroliveiramendes/titanic-machine-learning-from-disaster", "kernel_id": "54815545"}, {"ref": "ishikanisha/titanic-notebook", "kernel_id": "54866857"}, {"ref": "dg563kfhfd9/advance-feature-engineering-practice", "kernel_id": "54287201"}, {"ref": "liuzhuangzhuang/competition01-titanic-emebnn-0-77", "kernel_id": "54479422"}, {"ref": "nicopyds/learn-matpotlib-doing-50-plots", "kernel_id": "54594287"}, {"ref": "ariasantony/model-titanic-prediction", "kernel_id": "54300602"}, {"ref": "toshakfalak/titanic-logistic-regression-with-python-621f1f", "kernel_id": "54812348"}, {"ref": "jujubor/ico-ia-2024-justin-bauer-exercices", "kernel_id": "54060323"}, {"ref": "kadirbasrikilci/titanic-ml", "kernel_id": "54406078"}, {"ref": "jackjai/titanic", "kernel_id": "54365839"}, {"ref": "mehmetpek/fork-of-titanik-eda", "kernel_id": "54644048"}, {"ref": "rabiiarfaoui/my-first-competition-titanic-machine-learning", "kernel_id": "54660266"}, {"ref": "kenstory/titanic-xgboost", "kernel_id": "54573058"}, {"ref": "akankshalokhande/titanic-analysis", "kernel_id": "54792956"}, {"ref": "abenezertesfaye/titanic-survival-random-forest-classifier", "kernel_id": "54154066"}, {"ref": "agirmaus/explaining-who-survived-in-titanic-with-lime", "kernel_id": "54279417"}, {"ref": "m00nkikim/notebook21c00d84bc", "kernel_id": "54361451"}, {"ref": "aakashks/titanic-survival-pred", "kernel_id": "54831542"}, {"ref": "sosatb/xgboost", "kernel_id": "54587269"}, {"ref": "sosatb/notebook48f7aa4182", "kernel_id": "54093826"}, {"ref": "kixiev/python-intermedio-2", "kernel_id": "54460989"}, {"ref": "sohileadel/pre-processing-task", "kernel_id": "54501764"}, {"ref": "rhythmshah11/titanic-rf-kaggle", "kernel_id": "54215280"}, {"ref": "rafe12/90-accuracy-xgboost-titanic-survival-prediction", "kernel_id": "54545074"}, {"ref": "shivkatira/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "54137641"}, {"ref": "ronaldonyango/titanic-ml-competition", "kernel_id": "54737627"}, {"ref": "khaledshaheen/titanic-different-models", "kernel_id": "54541777"}, {"ref": "andrewdeng1/andrew-deng-intro-to-ml-notebook", "kernel_id": "54757796"}, {"ref": "endofnight17j03/titanicdata-visualization-and-preprocessing", "kernel_id": "54440752"}, {"ref": "alejandrolpezlpez/titanic-v1", "kernel_id": "54973018"}, {"ref": "yufanshiu/titanic-tutorial", "kernel_id": "54852063"}, {"ref": "motsimaslam/titanic-basic-random-forest-technique", "kernel_id": "54636069"}, {"ref": "aondofaalfred/titanic-machine-laerning-project", "kernel_id": "54855730"}, {"ref": "codethsubedi/notebook851ce13555", "kernel_id": "54600083"}, {"ref": "johnvelasco/classification-titanic-johnvelasco", "kernel_id": "54234974"}, {"ref": "aryankalia17/titanic-ml-from-disaster", "kernel_id": "54205000"}, {"ref": "bolnareff/titanic-survival-prediction-by-svm", "kernel_id": "54802154"}, {"ref": "alkidiarete/titanic-optuna", "kernel_id": "54701367"}, {"ref": "mkashifansari/notebookfff2be636e", "kernel_id": "54722588"}, {"ref": "dajeongwon/titanic-eda-a-deep-deep-dive-into-titanic-data", "kernel_id": "54686314"}, {"ref": "siddiquifaiznaeem/titanic-accuracy-0-93", "kernel_id": "54049530"}, {"ref": "kashish50/titanic-xgb", "kernel_id": "54391631"}, {"ref": "xshellxshockx/titanic-modelselection-hyperparams", "kernel_id": "54754425"}, {"ref": "przem8k/titanic-fastai-tabularlearner", "kernel_id": "54228213"}, {"ref": "baejongok/notebook27a4ec154d", "kernel_id": "54764724"}, {"ref": "surawutkittikaiwan/titanic-survival-prediction", "kernel_id": "54373402"}, {"ref": "iladam/pipeline-that-drowned-titanic", "kernel_id": "54639477"}, {"ref": "bigoracle/titanic-survival-predictions-beginner", "kernel_id": "54207721"}, {"ref": "jackalovich/titanic-competition-2nd-attempt-using-r-tidymodels", "kernel_id": "54002898"}, {"ref": "danielgurwindas/titanic-machine-learning-from-disaster", "kernel_id": "54343810"}, {"ref": "antonyjb9601/my-first-comp-submission-titanic", "kernel_id": "54864891"}, {"ref": "mohamedragabmahmued/titanic", "kernel_id": "54995957"}, {"ref": "franciscolc/getting-started-with-titanic-fran-2024", "kernel_id": "54091773"}, {"ref": "chetankillewale/linear-model-and-neural-net-from-scratch", "kernel_id": "54350732"}, {"ref": "saivamsir/titanic-ml", "kernel_id": "54774694"}, {"ref": "izaacormond/titanic-competition", "kernel_id": "54105342"}, {"ref": "aprajita25/data-science-workshop", "kernel_id": "54756139"}, {"ref": "vineetmehar/titanic-ml-from-disaster", "kernel_id": "54258527"}, {"ref": "arpita712/titanic", "kernel_id": "54540080"}, {"ref": "arthkumar2307/titanic-arth-submiit", "kernel_id": "54278649"}, {"ref": "lavishalakhmani/titanicml-suvidha", "kernel_id": "54228443"}, {"ref": "lavishalakhmani/titanic-pytorch-ann", "kernel_id": "54228134"}, {"ref": "botaylaamin/titanic-machine-learning", "kernel_id": "54073647"}, {"ref": "aniketmahajan1104/randomforesttitanic", "kernel_id": "54619512"}, {"ref": "manaswiniguptaiiitl/notebook80b88914eb", "kernel_id": "54198678"}, {"ref": "abuchionwuegbusi/titanic-disaster-machine-learning-prediction", "kernel_id": "54793436"}, {"ref": "oriharel/titanic-v2", "kernel_id": "54483357"}, {"ref": "samarthkumarkuchya/simple-decision-tree-model-on-titanic", "kernel_id": "54042490"}, {"ref": "mertkont/titanic-classification-model-training-evaluation", "kernel_id": "54275240"}, {"ref": "oyounis/titanic", "kernel_id": "54825840"}, {"ref": "abdelhamed1/titanic-machine-learning-from-disaster", "kernel_id": "54900959"}, {"ref": "mahindrarampathuri/titanic-survival-prediction", "kernel_id": "54371623"}, {"ref": "anujithk37/exercise-arithmetic-and-variables", "kernel_id": "54151469"}, {"ref": "yulin5567/titanic-predict", "kernel_id": "54211738"}, {"ref": "nuresens/titanic-nure-1", "kernel_id": "54141433"}, {"ref": "anastasiyaal/notebook36c0c61adb", "kernel_id": "54138189"}, {"ref": "bcnberkay/titanic-eda-xgb-rf", "kernel_id": "54676897"}, {"ref": "lkcankopar/lkcan-kopar-titanik-eda", "kernel_id": "54129110"}, {"ref": "qwertttyyyyy/titanic", "kernel_id": "54081047"}, {"ref": "yuukiiwakura/classifier-by-catboost", "kernel_id": "54493623"}, {"ref": "aramjamal/titanic-deadoralive", "kernel_id": "54262755"}, {"ref": "sauravdas07/dis-mag-pred-gaussiannb", "kernel_id": "54358115"}, {"ref": "itsahmadabdullah/notebook85d5709c0a", "kernel_id": "54854095"}, {"ref": "markslater1/titanic-notebook-1", "kernel_id": "54018148"}, {"ref": "markslater1/titanic-notebook-2", "kernel_id": "54088660"}, {"ref": "sirinbsa/eda-guideline", "kernel_id": "54736104"}, {"ref": "nigamshitij/fa-framework-to-deploy-neural-network", "kernel_id": "54708653"}, {"ref": "nigamshitij/basic-pytorch-neural-network-deep-learning-model", "kernel_id": "54552953"}, {"ref": "nigamshitij/random-forest-classifier-tests", "kernel_id": "54778779"}, {"ref": "emmanuelsimba/assign1-bigdata-titanic", "kernel_id": "54501201"}, {"ref": "mariampaulmagacha/magacha-03-2", "kernel_id": "54848383"}, {"ref": "mariampaulmagacha/magacha-03-3", "kernel_id": "54853255"}, {"ref": "xavierfonseca/1-cycle-learning-rate-scheduler-on-keras", "kernel_id": "54551010"}, {"ref": "ishavsaraf/titanic-survival-prediction", "kernel_id": "54522305"}, {"ref": "pruthvikmachhi/titanic-data-classification", "kernel_id": "54750870"}, {"ref": "anshvaghela2099/ansh-kaggle-contribution", "kernel_id": "54529457"}, {"ref": "nirbhaytambe/titanic1", "kernel_id": "54710625"}, {"ref": "ishph102016098/ensemble-modeling-on-titanic-dataset", "kernel_id": "54193350"}, {"ref": "pkksud/titanic-and-python", "kernel_id": "54679694"}, {"ref": "gengaru/titanic-rf", "kernel_id": "54480669"}, {"ref": "katyat227/ml-3-katya-danielle", "kernel_id": "54092462"}, {"ref": "perusiryoba/ryoba-03datascience", "kernel_id": "54807482"}, {"ref": "samanvaysiddharth/titanic101", "kernel_id": "54254434"}, {"ref": "martinpelaezdiaz/titanic-competition", "kernel_id": "54516853"}, {"ref": "tjtavares/titanic-machine-learning-simulation", "kernel_id": "54075944"}, {"ref": "jennista/projectno-1", "kernel_id": "54542062"}, {"ref": "peacelover53/notebook37b82cfc78", "kernel_id": "54808067"}, {"ref": "azusasaku/titanic-dataanalysis", "kernel_id": "54993281"}, {"ref": "fatihonuragac/titanic-with-machine-learning", "kernel_id": "54134772"}, {"ref": "mrnosaj/the-secret-to-76", "kernel_id": "54527724"}, {"ref": "mrnosaj/2-boost-add-1-feature", "kernel_id": "54532287"}, {"ref": "anthonyktchang/titanic-0-78229", "kernel_id": "54088136"}, {"ref": "therook111/titanic-predictions", "kernel_id": "54732733"}, {"ref": "taylorkim819/titanic-survival-prediction-in-r", "kernel_id": "54395345"}, {"ref": "adiseshuk/eda-modeling-xgboost-random-forest-voting", "kernel_id": "54413660"}, {"ref": "ammarmand/basicrandomforest", "kernel_id": "54980852"}, {"ref": "ayoubdiri/titanic", "kernel_id": "54234028"}, {"ref": "maksim96/titanic-tutorial", "kernel_id": "54130756"}, {"ref": "ismailaitalimhamed/titanic-machine-learning-from-disaster", "kernel_id": "54110641"}, {"ref": "slavikpanasiuk/notebook3f410a4f9f", "kernel_id": "54367224"}, {"ref": "ashraful52038/titanic", "kernel_id": "54927113"}, {"ref": "tusharsurve/titanic-eda-prediction", "kernel_id": "54136176"}, {"ref": "namlephuong/titanic", "kernel_id": "54245974"}, {"ref": "zacharymcollins/my-first-kaggle-notebook-titanic-disaster", "kernel_id": "54336537"}, {"ref": "yenguyen/titanic-survival-predict-using-logisticregression", "kernel_id": "54860324"}, {"ref": "ibekwekennethkalu/exercise-arithmetic-and-variables", "kernel_id": "54070170"}, {"ref": "tiagotlima/predict-98-8", "kernel_id": "54510247"}, {"ref": "tienweihsu/tien-wei-hsu-titanic-tutorial", "kernel_id": "54025413"}, {"ref": "dumanensar/ensar-titanic-eda", "kernel_id": "54343873"}, {"ref": "suvidhasrivastava04/titanicml-suvidha", "kernel_id": "54200725"}, {"ref": "serialdactyl/titanic-tutorial", "kernel_id": "54253096"}, {"ref": "bentoplyer/notebookdb5f8b25ba", "kernel_id": "54264742"}, {"ref": "guillechico/titanic-definitivo", "kernel_id": "54737450"}, {"ref": "drigdin/titanic-logistic-regression", "kernel_id": "54475646"}, {"ref": "abhishekmishra13/titanic-survival-2", "kernel_id": "54326707"}, {"ref": "marypthomaseeee/notebookf8ce823f02", "kernel_id": "54670060"}, {"ref": "krimimohamed/exercise-arithmetic-and-variables", "kernel_id": "54868688"}, {"ref": "thesun6/notebook52b2104b97", "kernel_id": "54806677"}, {"ref": "karimalhasan/titanic-tutorial", "kernel_id": "54782842"}, {"ref": "chengdujin/titanic1", "kernel_id": "55794046"}, {"ref": "riteshyadav/titanic-sink", "kernel_id": "55574362"}, {"ref": "luckyp71/titanic-binary-class-with-nn-high-performance", "kernel_id": "55556887"}, {"ref": "michaelberger/titanic-michael", "kernel_id": "55633103"}, {"ref": "vinitkp/design-patterns-guide", "kernel_id": "55257536"}, {"ref": "allegich/graphs-with-networkx-part-1", "kernel_id": "55221927"}, {"ref": "tithikhan/random-forest-81-accuracy-on-titanic-dataset", "kernel_id": "55627005"}, {"ref": "kmhae486/titanic-practice", "kernel_id": "55658078"}, {"ref": "volodymyrholomb/sklearn-s-pipeline-with-mlpclassifier", "kernel_id": "55804681"}, {"ref": "azamatkibekbaev/titanic-solution", "kernel_id": "55072063"}, {"ref": "tsunodatr/udemy-titanic", "kernel_id": "55907742"}, {"ref": "sachinpatalasingh/titanic-survival-prediction", "kernel_id": "55370235"}, {"ref": "galbenita/titanic-notebook", "kernel_id": "55174861"}, {"ref": "romilkikani/titanic-survival", "kernel_id": "55625949"}, {"ref": "nickuzmenkov/mentoring-clustering", "kernel_id": "55283562"}, {"ref": "michaeljhawkins/titanic-ml-analysis-notebook", "kernel_id": "55067680"}, {"ref": "khananikrahman/titanic-logistic-regression-with-l2-penalty", "kernel_id": "55657194"}, {"ref": "hareddjama/titanic-survived-prediction-using-random-forest", "kernel_id": "55392765"}, {"ref": "josepnc/first-steps-with-machine-learning-and-the-titanic", "kernel_id": "55984202"}, {"ref": "noureldinraafat/titanic-97-score-eda", "kernel_id": "55911695"}, {"ref": "alimsd77/titanic-start", "kernel_id": "55563030"}, {"ref": "liuzhuangzhuang/learn06-torch-pipline", "kernel_id": "55416065"}, {"ref": "muhammadismailq/titanic-and-prediction-for-possible-survival", "kernel_id": "55204033"}, {"ref": "hosammhmdali/titanic-project", "kernel_id": "55233622"}, {"ref": "wooshwooshh/titanic-survival-prediction", "kernel_id": "55000846"}, {"ref": "procoding2022/titanic-submission", "kernel_id": "55972560"}, {"ref": "nguyenaurora/notebookf7d9e2e691", "kernel_id": "55501353"}, {"ref": "dbswnchichi/ai-midtermexam", "kernel_id": "55539718"}, {"ref": "andywow/titanic-machine-learning-from-disaster", "kernel_id": "55009073"}, {"ref": "felipemarlon/titanic-prediction-with-decision-tree-regressor", "kernel_id": "55425139"}, {"ref": "chanchal24/breast-cancer-prediction-with-7-models-98-acc", "kernel_id": "55368660"}, {"ref": "chetand55/titanic-survival", "kernel_id": "55459912"}, {"ref": "ayanabil11/titanic-scores-0-75837", "kernel_id": "55101131"}, {"ref": "prayeshgodhani04/filter-method-in-feature-selection", "kernel_id": "55911979"}, {"ref": "zohourdiaaeldin/automated-hyperparameter-tuning", "kernel_id": "55636984"}, {"ref": "fauziya24/exercise-arithmetic-and-variables", "kernel_id": "55257547"}, {"ref": "fauziya24/titanic-machine-learning-from-disaster", "kernel_id": "55450449"}, {"ref": "jamsge/james-ge-titanic-submission", "kernel_id": "55609317"}, {"ref": "fabrciomacena/titanic-crisp-dm-methodology-step-by-step", "kernel_id": "55034610"}, {"ref": "jhanviirawat/titanic-survival-prediction-using-random-forest", "kernel_id": "55987680"}, {"ref": "tahabutt07/titanic-disaster-simple-yet-effective", "kernel_id": "55906793"}, {"ref": "seokhyokang/survival-pred-w-voter-stacker-smote-shap", "kernel_id": "55950937"}, {"ref": "fratzcan/titanic-dataset", "kernel_id": "55702439"}, {"ref": "danielgonzalezmesa/titanic-test-for-submission", "kernel_id": "55220237"}, {"ref": "benilaunchers/titanic-simple-logistic-with-explanation", "kernel_id": "55734824"}, {"ref": "gururajhalemani/titanic", "kernel_id": "55887732"}, {"ref": "abdelhalemfathi/titanic-machine-learning-from-disaster", "kernel_id": "55729162"}, {"ref": "aldrinlambon/h2o-automl-for-titanic-survival-prediction", "kernel_id": "55454166"}, {"ref": "hubertblaszczyk/titanic-ghost-applied-intro-to-ml", "kernel_id": "55030983"}, {"ref": "sachinsd/titanic-eda-xgb", "kernel_id": "55556350"}, {"ref": "muhammadusmands/test-notebook", "kernel_id": "55923872"}, {"ref": "amalap862001/titanic-survival-prediction", "kernel_id": "55560059"}, {"ref": "nakagawaren0805/confusion-matrix-ensemble", "kernel_id": "55703307"}, {"ref": "likapichu/notebooke738255fc7", "kernel_id": "55309949"}, {"ref": "albertobircoci/titanic-competition-code1", "kernel_id": "55216991"}, {"ref": "gorkemerol/titanic-gbm", "kernel_id": "55969099"}, {"ref": "bo0o0dy1199gmailcom/titanic", "kernel_id": "55909243"}, {"ref": "uptownkt/titanic-tutorial-practice-cs", "kernel_id": "55325782"}, {"ref": "pulkittarora/titanic-machine-learning-from-disaster", "kernel_id": "55158917"}, {"ref": "gouravlohar/guide-on-scikit-learn-pipeline-easy", "kernel_id": "55079586"}, {"ref": "roopkumardas/titanic-predictions-randomforestclassifier", "kernel_id": "55856815"}, {"ref": "nltran/titanic-survival-prediction", "kernel_id": "55108722"}, {"ref": "sarandharshan/logistic-regression", "kernel_id": "55919399"}, {"ref": "suyogmahajan21/titanicwapasdoobgaya", "kernel_id": "55482454"}, {"ref": "dominikolszowy/my-start-with-titanic", "kernel_id": "55540946"}, {"ref": "naitik554/eda-and-model-prediction-on-titanic-dataset", "kernel_id": "55901526"}, {"ref": "aniketmahajan1104/titanictwo", "kernel_id": "55288615"}, {"ref": "walaaadel2/crop-recommendation-model", "kernel_id": "55054305"}, {"ref": "eksimre/titanic-svm", "kernel_id": "55860013"}, {"ref": "utkuefeakdoan/titanic-simple-network-pytorch", "kernel_id": "55492428"}, {"ref": "innocentmfa/titanic-prediction", "kernel_id": "55383384"}, {"ref": "yanndep/feature-engineering-on-titanic-87", "kernel_id": "55341001"}, {"ref": "mahdifaour/titanic-over-80-accuracy", "kernel_id": "55233858"}, {"ref": "hebamaher/titanic-notebook", "kernel_id": "55493772"}, {"ref": "mukundsavaliyakaggle/titanic-competition", "kernel_id": "55168092"}, {"ref": "jedidiahangekouakou/attempt-2-titanic-using-pandas", "kernel_id": "55920737"}, {"ref": "erfan82/version-2", "kernel_id": "55400954"}, {"ref": "erfan82/version-1", "kernel_id": "55400399"}, {"ref": "erfan82/version-3", "kernel_id": "55402171"}, {"ref": "erfan82/version-5", "kernel_id": "55402809"}, {"ref": "erfan82/version-4", "kernel_id": "55402553"}, {"ref": "cemdurakk/titaniceda", "kernel_id": "55981495"}, {"ref": "vyle17/prediction-using-logistic-regression", "kernel_id": "55975844"}, {"ref": "pavelermolin/titanic-different-classifiers", "kernel_id": "55885653"}, {"ref": "ishmamurrahman7/cs4650-quiz2", "kernel_id": "55519402"}, {"ref": "chopper53/titanic-k-nearest-neighbour", "kernel_id": "55704659"}, {"ref": "chopper53/titanic-randomforest-xgb-gradboost", "kernel_id": "55137004"}, {"ref": "angweimingrecca/titanic-predictions", "kernel_id": "55115624"}, {"ref": "fatimatuznzahra/survivors-of-the-titanic-disaster", "kernel_id": "55938999"}, {"ref": "marcinmc/data-preprocessing-rfc-svm-xgb-lightgbm-voting", "kernel_id": "55999574"}, {"ref": "furkanblt35/titanic-random-forest-solution", "kernel_id": "55982768"}, {"ref": "doaamoh/titanic-submission-done", "kernel_id": "55086941"}, {"ref": "danielperez019/fork-of-getting-started-with-titanic-daniel-perez", "kernel_id": "55533611"}, {"ref": "cardata/titanic-survival-prediction", "kernel_id": "55289105"}, {"ref": "sudeepsharma1/titanic-data-model", "kernel_id": "55591001"}, {"ref": "gwongz/getting-started-with-titanic", "kernel_id": "55226138"}, {"ref": "ronakshah007/notebookb823fb197b", "kernel_id": "55270306"}, {"ref": "thumatisai/notebookeba278ae21", "kernel_id": "55104465"}, {"ref": "jimmynguyen02/getting-started-with-titanic", "kernel_id": "55392609"}, {"ref": "anushkavenkatesh/titanic-submission-notebook", "kernel_id": "55600963"}, {"ref": "kevinthangasamy/getting-started-with-titanic", "kernel_id": "55610988"}, {"ref": "kennethchau1/titanic-quiz-2", "kernel_id": "55529775"}, {"ref": "tylernguyenuyemori/titanic-ml-tyler-nguyen-uyemori", "kernel_id": "55551767"}, {"ref": "joshuacasuga/notebook469e006a11", "kernel_id": "55434807"}, {"ref": "joshuagoodmancpp/jgx02-kgg-titanic", "kernel_id": "55605769"}, {"ref": "arianavillagrana/getting-started-with-titanic", "kernel_id": "55338473"}, {"ref": "shibayuu/startbook", "kernel_id": "55886738"}, {"ref": "youngchankim2/cs4650-quiz-yck", "kernel_id": "55781577"}, {"ref": "georgistan/titanic-tensorflow", "kernel_id": "55173118"}, {"ref": "georgistan/titanic-classification", "kernel_id": "55045131"}, {"ref": "henryhuynguyen/cs-4650-quiz-2", "kernel_id": "55593703"}, {"ref": "locanhuynh/cs-4650-titanic-quiz", "kernel_id": "55530120"}, {"ref": "joshuapao/notebookc8bb0bc2fa", "kernel_id": "55606709"}, {"ref": "eddytansil/titanic-dataset-eda-classification-using-rfc", "kernel_id": "55904366"}, {"ref": "jakei2/notebook37996efb4b", "kernel_id": "55403195"}, {"ref": "ismetakaln/exercise-arithmetic-and-variables", "kernel_id": "55563056"}, {"ref": "wiktorabno/titanic-neural-network", "kernel_id": "55675590"}, {"ref": "ramazantac/r-titanic", "kernel_id": "55541652"}, {"ref": "jevzin/titanic-dataset-competition", "kernel_id": "55692821"}, {"ref": "shanyherskovits/titanic-final-shany-elon-adir", "kernel_id": "55332723"}, {"ref": "sol1221/solution-midterm", "kernel_id": "55760845"}, {"ref": "mrnosaj/unlock-80-accuracy", "kernel_id": "55177420"}, {"ref": "burakunsal/titanic-eda", "kernel_id": "55458968"}, {"ref": "kacperrogala/titanic-survival-classification", "kernel_id": "55104502"}, {"ref": "y0usef/titanic-basic-solution-using-adaboost", "kernel_id": "55846542"}, {"ref": "marcusreul/titanic-survive-prediction-marcusreul", "kernel_id": "55573886"}, {"ref": "yifattih/exercise-arithmetic-and-variables", "kernel_id": "55846732"}, {"ref": "marbenitez/titanic-ef-ml", "kernel_id": "55480238"}, {"ref": "johnharriswilson/titanic-dataset-random-forest-with-xgboost-model", "kernel_id": "55926374"}, {"ref": "baptisteguerra/eda-titanic-first-try", "kernel_id": "55893679"}, {"ref": "kylescissons/titanic-machine-learning-from-disaster-notebook", "kernel_id": "55369564"}, {"ref": "itathagatkumar/titanic-survival-prediction", "kernel_id": "55713330"}, {"ref": "richardhe789/titanic", "kernel_id": "55728660"}, {"ref": "jackiefu/titanic-machine-learning-from-disaster-v2", "kernel_id": "55752480"}, {"ref": "sebastinazamaravils/titanic-logistic", "kernel_id": "55499118"}, {"ref": "phillipwayn/titanic-tutorial", "kernel_id": "55073119"}, {"ref": "camilagomez21/titanic-tutorial-first-notebook", "kernel_id": "55074533"}, {"ref": "owaisahsen/titanic-basic-solution-using-adaboost-2be3ae", "kernel_id": "55170415"}, {"ref": "rupeshmakol/let-s-start-with-titanic", "kernel_id": "55717395"}, {"ref": "impulkit31/notebook46c2534207", "kernel_id": "55234822"}, {"ref": "shelbyfletcher/shelby-s-titanic", "kernel_id": "55735287"}, {"ref": "ellenjichoi/titanic", "kernel_id": "55444822"}, {"ref": "rahulmorshed/titanic-tutorial-my-first-notebook", "kernel_id": "55275127"}, {"ref": "umerkappor/first-notebook", "kernel_id": "55275992"}, {"ref": "him1822/titanic-project-himani", "kernel_id": "55995418"}, {"ref": "itszeebo/of-abe-lesgo", "kernel_id": "55990511"}, {"ref": "saraali9/titanic-survival-prediction", "kernel_id": "55490394"}, {"ref": "chenghanhuang1/huangchenghan-shipping-forecast", "kernel_id": "55814046"}, {"ref": "arunkumar124/titanic-survival-2-210e52", "kernel_id": "55880557"}, {"ref": "lukakazic39/titanic-test", "kernel_id": "55892672"}, {"ref": "ualexandr/titanic-ml-from-disaster", "kernel_id": "55895151"}, {"ref": "tommatthews47/getting-started-with-titanic", "kernel_id": "55914072"}, {"ref": "abhik78/titanic-notebook-hyperparam-tuning", "kernel_id": "56402887"}, {"ref": "lasm1984/kolmogorov-arnold-networks-titanic", "kernel_id": "56449378"}, {"ref": "javaidiqbal198/pipelines-for-preprocessing-a-tutorial", "kernel_id": "56929530"}, {"ref": "jperez121/getting-started-with-titanic-notebook101519ec", "kernel_id": "56374859"}, {"ref": "ananmao/titanic-the-only-notebook-you-need-to-see", "kernel_id": "56108577"}, {"ref": "alfathterry/missing-data-imputation-techniques", "kernel_id": "56107024"}, {"ref": "fatihardazengin/titanic-case-with-eda-and-prediction", "kernel_id": "56968193"}, {"ref": "ummmuawiyah/titanic-dataset-eda-and-multiple-models", "kernel_id": "56303593"}, {"ref": "gabriellecharlton/titanic-tutorial-submission", "kernel_id": "56091709"}, {"ref": "aikeshakeutayeva/eda-and-model-prediction-titanic-dataset", "kernel_id": "56821182"}, {"ref": "pushkaranp/titanic-dataset", "kernel_id": "56879684"}, {"ref": "warisratthapoom/ml-with-titanic-dataset", "kernel_id": "56504204"}, {"ref": "wiratrnn/notebook67733632c5", "kernel_id": "56977666"}, {"ref": "dhineshbabbu/adb-titanic-machine-learning-from-disaster", "kernel_id": "56468932"}, {"ref": "felippedmaso/titanic-pred", "kernel_id": "56193836"}, {"ref": "ahmetesmer/data-mining-project", "kernel_id": "56478005"}, {"ref": "vinaykumar02/titanic", "kernel_id": "56400194"}, {"ref": "zindagireturns/titanic-data-study", "kernel_id": "56991935"}, {"ref": "sugurutsujioka/2024titanic-tutorial", "kernel_id": "56925628"}, {"ref": "sangai260/titanic-my-first-competition", "kernel_id": "56053163"}, {"ref": "ushnishbhowmik/titanic-prediction", "kernel_id": "56882504"}, {"ref": "xyznihal/titanic-competition-gradient-boosting-classifier", "kernel_id": "56321352"}, {"ref": "linusx/titanic-survival-fast-code-prediction-with-rf", "kernel_id": "56150887"}, {"ref": "triblex/titanic-blender-gold-medal-score-100", "kernel_id": "56365076"}, {"ref": "shotasekido/titanic-aidemy", "kernel_id": "56565609"}, {"ref": "eneskosar19/titanic-sample-submission-random-forest", "kernel_id": "56354306"}, {"ref": "damathajorisaxel/titanic-eda-tensorflow-tfdf", "kernel_id": "56556751"}, {"ref": "girumwondemagegn/titanic-survivors-predictive-model", "kernel_id": "56851074"}, {"ref": "thegoanpanda/titanic-ml-approach", "kernel_id": "56067056"}, {"ref": "faeghehghofrani/compare-7-classification-models", "kernel_id": "56485030"}, {"ref": "mohammedderouiche/my-first-submission", "kernel_id": "56022473"}, {"ref": "abeshith/titanic-survival-prediction", "kernel_id": "56407464"}, {"ref": "victornuez/titanic-preds-tensorflow-keras-mlp", "kernel_id": "56469668"}, {"ref": "cyrusnaficy/titanic-the-only-notebook-you-need-to-see", "kernel_id": "56109321"}, {"ref": "aimitmk/titanic-aglm", "kernel_id": "56973742"}, {"ref": "dtp123/titanic-stacking-1st-try", "kernel_id": "56541042"}, {"ref": "phkhng/using-optuna-to-optimize", "kernel_id": "56377691"}, {"ref": "shbshahriar/beginner-titanic-prediction-with-random-forest", "kernel_id": "56421711"}, {"ref": "alfthrpy/notebookc624e03d71", "kernel_id": "56281147"}, {"ref": "abhimanyumehta26/titanic-competition", "kernel_id": "56947946"}, {"ref": "mayankzach/titanic-competition", "kernel_id": "56896731"}, {"ref": "chandankawatra/titanic-competition", "kernel_id": "56951012"}, {"ref": "peterkaf/different-classification-model-testing", "kernel_id": "56409438"}, {"ref": "alicolak46/titanic-dataset-work-sheet", "kernel_id": "56023384"}, {"ref": "drewmatsumoto/titanic-sweetviz-automated-eda", "kernel_id": "56241765"}, {"ref": "drewmatsumoto/titanic-eda-visualization-beginner-seaborn", "kernel_id": "56201690"}, {"ref": "mahmoudragab1/titanic-disaster-comp", "kernel_id": "56958456"}, {"ref": "mahmoudragab1/prediction-for-titanic", "kernel_id": "56959259"}, {"ref": "arpitsharma0408/getting-started-with-titanic", "kernel_id": "56058991"}, {"ref": "joemoon17/moontitanic-the-only-notebook-you-need-to-see", "kernel_id": "56103729"}, {"ref": "nguyennn263/titanic-solution", "kernel_id": "56650837"}, {"ref": "bushraakram447/titanic-machine-learning-from-disaster", "kernel_id": "56816653"}, {"ref": "alyhassanshehata/titanic", "kernel_id": "56337103"}, {"ref": "godwinkrim/notebookc126631130", "kernel_id": "56103602"}, {"ref": "josecode1/titanic-competition", "kernel_id": "56539661"}, {"ref": "sibasundarmanik/titanic-comp-finale", "kernel_id": "56230563"}, {"ref": "hashemshibli/titanic-model", "kernel_id": "56273121"}, {"ref": "jerryjaggs/notebook3d05b1ffc1", "kernel_id": "56833309"}, {"ref": "mdmhnayeem/titanic-tutorial", "kernel_id": "56765326"}, {"ref": "berkayozturkx/titanic-machine-learning-from-disaster", "kernel_id": "56146058"}, {"ref": "anjaniimohil/titanic", "kernel_id": "56992673"}, {"ref": "sanjilagangaju/titanicdataset-survivalprobability", "kernel_id": "56690946"}, {"ref": "devsijariya/titanic-data-survived-prediction", "kernel_id": "56126617"}, {"ref": "caginberke/titanic-tutorial", "kernel_id": "56005577"}, {"ref": "muhammadasifwazir/exercise-arithmetic-and-variables", "kernel_id": "56065203"}, {"ref": "adityakapoor06/survival-chances-using-naive-bayes", "kernel_id": "56097764"}, {"ref": "zaidali11/titanic-survived-or-not-eda-modeling", "kernel_id": "56686800"}, {"ref": "adhamtarek147/titanic-survival-classification", "kernel_id": "56971818"}, {"ref": "cheshtbiala/titanic-ml-from-disaster", "kernel_id": "56894309"}, {"ref": "yuangwu/notebookb637a5efeb", "kernel_id": "56254135"}, {"ref": "kwhchung/titanic-competion-with-neural-network", "kernel_id": "56990387"}, {"ref": "mikaelrajakhan/notebookd557446420", "kernel_id": "56955526"}, {"ref": "joonseokim12/notebookc5a645af08", "kernel_id": "56928176"}, {"ref": "zac003/titanic-survived-model", "kernel_id": "56880621"}, {"ref": "cardata/titanic-data-analysis", "kernel_id": "56593513"}, {"ref": "cardata/titanic-dataset-analysis", "kernel_id": "56371366"}, {"ref": "cardata/titanic-ataset-analysis", "kernel_id": "56295887"}, {"ref": "yesdodata/titanic-challenge-submission", "kernel_id": "56893871"}, {"ref": "zoeymitchell/titanic-feature-engg-xgboost-cv", "kernel_id": "56498005"}, {"ref": "yasirmehmood2/titanic-survival-prediction-model", "kernel_id": "56940267"}, {"ref": "ashiina/titanic-analysis-001", "kernel_id": "56372613"}, {"ref": "aaradhyakulkarni/titanic-competition", "kernel_id": "56153869"}, {"ref": "damiandbx/titanic", "kernel_id": "56444199"}, {"ref": "gopal03/titanic-prediction", "kernel_id": "56319210"}, {"ref": "rajendra151286/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "56140460"}, {"ref": "vladyslavmustyatsa/titanic-competition-with-xgboost", "kernel_id": "56591847"}, {"ref": "marwanmohamedmaro/titanic-prediction", "kernel_id": "56406120"}, {"ref": "pedrobrantes/exercise-arithmetic-and-variables", "kernel_id": "56171300"}, {"ref": "alirahneshin/titanic-random-forest-with-82-3-accuracy", "kernel_id": "56308372"}, {"ref": "shanuv000/titanic-learning", "kernel_id": "56067508"}, {"ref": "mscourtneyjones/1st-competition-titantic", "kernel_id": "56081847"}, {"ref": "agnibharoy10/notebookd28c610a3f", "kernel_id": "56247195"}, {"ref": "nicolaspillin/titanic-random-forest-79-4", "kernel_id": "56645608"}, {"ref": "sxdtlili/exercise-arithmetic-and-variables", "kernel_id": "56590133"}, {"ref": "okeyandrew/titanic-challenge-dataset", "kernel_id": "56411749"}, {"ref": "ahammadmejbah/titanic-machine-learning-from-disaster-challenge", "kernel_id": "56410189"}, {"ref": "anna1058375/getting-started-with-titanic", "kernel_id": "56268771"}, {"ref": "qidi2347/tt-python", "kernel_id": "56512136"}, {"ref": "tomkrger/titanic-pairwiseana-permimportance-rf-xgb-ffnn", "kernel_id": "56112294"}, {"ref": "sabitahamedpreanto/survival-prediction-in-titanic-disaster-dataset", "kernel_id": "56380972"}, {"ref": "sabitahamedpreanto/titanic-survivor-prediction", "kernel_id": "56291740"}, {"ref": "eduardorc/titanic", "kernel_id": "56189125"}, {"ref": "amirahramly/titanic-survival-prediction-rf-svm-nb-dt", "kernel_id": "56089960"}, {"ref": "satishg1102/1-titatic-project", "kernel_id": "56064858"}, {"ref": "fl4wl3ss/titanic-task", "kernel_id": "56149004"}, {"ref": "ataturhan/titanic-predicting-survivors", "kernel_id": "56002433"}, {"ref": "teddynye/titanic-by-lightgbm", "kernel_id": "56993788"}, {"ref": "alanzanardi/titanic-with-logistic-regression-statsmodels", "kernel_id": "56090892"}, {"ref": "alanzanardi/titanic-with-random-forest", "kernel_id": "56503706"}, {"ref": "justinverhoeven/titanic-submission", "kernel_id": "56075309"}, {"ref": "bandaralaziz/titanic-tutorial-my-first-ml-work", "kernel_id": "56074730"}, {"ref": "synamathod/titanic-the-only-notebook-you-need-to-see", "kernel_id": "56102752"}, {"ref": "adam11223344/titanic-the-only-notebook-you-need-to-see", "kernel_id": "56102913"}, {"ref": "jerebearolu/titanic-the-only-notebook-you-need-to-see", "kernel_id": "56118129"}, {"ref": "dameertaheemgay/titanic-the-only-notebook-you-need-to-see", "kernel_id": "56126721"}, {"ref": "favourolagunju/favour-titanic-the-only-notebook-you-need-to-see", "kernel_id": "56141856"}, {"ref": "sebastianalavez/titanic-the-only-notebook-you-need-to-see", "kernel_id": "56158317"}, {"ref": "tylerk256/titanic-the-only-notebook-you-need-to-see", "kernel_id": "56168533"}, {"ref": "simronw/titanic-survival-prediction", "kernel_id": "56407940"}, {"ref": "ahmetakyew/mtitanic-mk3-akkyew", "kernel_id": "56894974"}, {"ref": "amitunchartered/test-run", "kernel_id": "56390087"}, {"ref": "daudbutt/titanic-analysis-001", "kernel_id": "56491218"}, {"ref": "pchhalotre321chh/getting-started-with-titanic", "kernel_id": "56836318"}, {"ref": "manuelasaez/titanic-2-solutions", "kernel_id": "56788245"}, {"ref": "morinaedonis/titanic-machine-learning", "kernel_id": "56820026"}, {"ref": "tariksaglam/titanic-xgboost-classifier", "kernel_id": "56826641"}, {"ref": "gaminggoddd/titanic-tutorial", "kernel_id": "56990930"}, {"ref": "praneethallidona/titanic-classification-with-ensembling", "kernel_id": "57015871"}, {"ref": "floday/titanic-xgboost-78-accuracy", "kernel_id": "57268907"}, {"ref": "slmatrix/pandas-1-2-dataframe-basics", "kernel_id": "57193287"}, {"ref": "vinitkp/intrepreting-machine-learning-models", "kernel_id": "57510088"}, {"ref": "aishakhatun/titanic-wicscon-participants-complete", "kernel_id": "57118552"}, {"ref": "neerajgulati/titanic-dataset-decision-tree-model", "kernel_id": "57720531"}, {"ref": "neerajgulati/titanic-dataset-random-forest-model", "kernel_id": "57717330"}, {"ref": "neerajgulati/titanic-dataset-logistic-regression", "kernel_id": "57867895"}, {"ref": "alexsandroj/titanic-test-models", "kernel_id": "57974565"}, {"ref": "ilanstoisc/titanic", "kernel_id": "57229467"}, {"ref": "drmurataltun/titanic-btk-detailed-data-analyse", "kernel_id": "57508960"}, {"ref": "dzehtsiarou/better-kan-titenic", "kernel_id": "57454220"}, {"ref": "paulinapl/pyspark", "kernel_id": "57155711"}, {"ref": "abdullaharean/ann-class-from-scratch-using-numpy-only", "kernel_id": "57075072"}, {"ref": "kamranismaylov/notebook6233c84fed", "kernel_id": "57504320"}, {"ref": "henrylinn/titanic-tutorial-v18", "kernel_id": "57388054"}, {"ref": "juliakim319/titanic", "kernel_id": "57284754"}, {"ref": "swarnabh31/firstcompetitionchallenge", "kernel_id": "57902311"}, {"ref": "swarnabh31/stacking-voting-technique", "kernel_id": "57908587"}, {"ref": "swarnabh31/voting-method-for-survival-classification", "kernel_id": "57916860"}, {"ref": "roopeshjampala/titanic-project-ds", "kernel_id": "57986120"}, {"ref": "ilyasnayle/ilyas-nayle-titanic-ml-acc-83-8-prec-85-7", "kernel_id": "57834324"}, {"ref": "sergeyarhipov/titanic", "kernel_id": "57837550"}, {"ref": "mikolajhojda/titanic-analysis-and-predictions-in-r", "kernel_id": "57259637"}, {"ref": "yunusemreduran/titanic", "kernel_id": "57508963"}, {"ref": "mete6qn/titanic-logregression-0-76555", "kernel_id": "57013836"}, {"ref": "changwooyoo/titanic-linear-regression-with-layers", "kernel_id": "57243072"}, {"ref": "mozammalhaquetonoy/titanic-with-decision-tree-model", "kernel_id": "57855083"}, {"ref": "nisargkudgunti/getting-started-with-titanic", "kernel_id": "57258902"}, {"ref": "kennethbrewster/titanic-ml", "kernel_id": "57154671"}, {"ref": "ahmedmostafadora/titanic-classification-with-gradient-boosting", "kernel_id": "57487917"}, {"ref": "aihamz/titanic-ds-project", "kernel_id": "57078803"}, {"ref": "mohsinsial/titanic-eda-for-young-datascienctist", "kernel_id": "57142267"}, {"ref": "sureshkrish07/titanic-survivor-prediction", "kernel_id": "57851238"}, {"ref": "wjddms00/titanic-2", "kernel_id": "57174919"}, {"ref": "wjddms00/titanic-1", "kernel_id": "57076655"}, {"ref": "drumilkotecha/titanic-survival-prediction", "kernel_id": "57020377"}, {"ref": "bilgebalga/titanic-btk-son", "kernel_id": "57569086"}, {"ref": "reyyantemel/gazi-ai-ml-1-gun", "kernel_id": "57165219"}, {"ref": "reyyantemel/gazi-ai-ml-2-g-n", "kernel_id": "57270824"}, {"ref": "ezequielalvessoares/titanic-and-fastai", "kernel_id": "57790258"}, {"ref": "ezequielalvessoares/competi-o-titanic-melhorando-a-performance-1", "kernel_id": "57255452"}, {"ref": "ezequielalvessoares/titanic-tutorial", "kernel_id": "57270954"}, {"ref": "nickchudo/smote-meetup", "kernel_id": "57756376"}, {"ref": "monaelshamaa/getting-started-with-titanic-2", "kernel_id": "57771242"}, {"ref": "mrizemltis/titanic-v1", "kernel_id": "57931316"}, {"ref": "avicenne/notebook-titanic-78", "kernel_id": "57334512"}, {"ref": "galalqassas/titanic-dataset-classification-using-naive-bayes", "kernel_id": "57605273"}, {"ref": "ahmedabdelghagny/titanic-dataset-using-naive-bayes", "kernel_id": "57707440"}, {"ref": "oleksiimartusiuk/titanic-predictions", "kernel_id": "57129663"}, {"ref": "sajibgta/titanic-survival", "kernel_id": "57330389"}, {"ref": "sajibgta/titanic-survival-ensemble", "kernel_id": "57339566"}, {"ref": "serzhansakipov/titanic-rf-1", "kernel_id": "57295627"}, {"ref": "snmahsa/titanic-machine-learning-from-disaster", "kernel_id": "57822349"}, {"ref": "kevinkibebe/titanic-survival-data-analysis", "kernel_id": "57849033"}, {"ref": "nazlnazanavc/titanic", "kernel_id": "57406926"}, {"ref": "akashdoss/titanic-survival-prediction-machine-learning", "kernel_id": "57131264"}, {"ref": "piyushmalik01/titanic-survival-predictions", "kernel_id": "57398367"}, {"ref": "ardava/matplotlib-101", "kernel_id": "57765875"}, {"ref": "nityaverma19/eda-extracting-insights", "kernel_id": "57810159"}, {"ref": "timofeyyyyyy/titanic-baseline-models", "kernel_id": "57679752"}, {"ref": "flamingoman418/titanic", "kernel_id": "57053499"}, {"ref": "abdmental01/plotting-masterclass", "kernel_id": "57466637"}, {"ref": "abdmental01/exploring-data-visual-insights-unveiled", "kernel_id": "57285098"}, {"ref": "hjiseok/titanic-pytorch-jiseok", "kernel_id": "57662503"}, {"ref": "sarincasm/how-random-forests-really-work", "kernel_id": "57603126"}, {"ref": "tonnyk/tonny-second-titanic", "kernel_id": "57441002"}, {"ref": "skander951/titanic-fs", "kernel_id": "57832858"}, {"ref": "bakituner/notebook5166f41345", "kernel_id": "57010721"}, {"ref": "saleepshrestha/titanic-tutorial", "kernel_id": "57083868"}, {"ref": "saleepshrestha/exercise-arithmetic-and-variables", "kernel_id": "57079869"}, {"ref": "raidathmane/titanic-xgboost-with-bayesian-optimization", "kernel_id": "57594087"}, {"ref": "alifaridkhan/titanic-dataset-using-xgboost-randomforest", "kernel_id": "57852497"}, {"ref": "amulyajain2004/getting-started-with-titanic", "kernel_id": "57585859"}, {"ref": "amulyajain2004/exercise-arithmetic-and-variables", "kernel_id": "57480248"}, {"ref": "hjs4932/hjs-titanic-svm", "kernel_id": "57662599"}, {"ref": "draganpinsent98/titanic-ml-r-glm-dt-rf-km", "kernel_id": "57155310"}, {"ref": "zahidmughal2343/titanic-data-preprocessing", "kernel_id": "57861764"}, {"ref": "tomasmayer73/titanic-competition-simple-ml-models", "kernel_id": "57585710"}, {"ref": "irochkasuper1/notebook5b6cf67e0b", "kernel_id": "57834656"}, {"ref": "yesdodata/my-best-try-for-titanic", "kernel_id": "57560049"}, {"ref": "sandipbehera2004/titanic-competition", "kernel_id": "57561365"}, {"ref": "sauravdas07/navie-bayes-3-0", "kernel_id": "57042369"}, {"ref": "omaraymanatia/titanic-prediction-acc-87", "kernel_id": "57520652"}, {"ref": "ppremepreme/fork-of-linear-model-and-neural-net-from-scratch", "kernel_id": "57585795"}, {"ref": "suhass19/titanic-disaster-project", "kernel_id": "57676757"}, {"ref": "victorhugochaves/acc-92-3-randomforest-98-9-logistic-regression", "kernel_id": "57072382"}, {"ref": "laylajohanna/predicting-titanic-survivors", "kernel_id": "57984029"}, {"ref": "lalchandbadsha/tinanic-eda", "kernel_id": "57593013"}, {"ref": "ahmetfurkancayirtepe/almano-titanic-eda", "kernel_id": "57372476"}, {"ref": "malakelbanna/bayes-assignment", "kernel_id": "57696541"}, {"ref": "menynicolas/titanic-classification-top10", "kernel_id": "57990070"}, {"ref": "enesaydin00/titanic-homework-part2", "kernel_id": "57184050"}, {"ref": "enesaydin00/titanic-homework-part1", "kernel_id": "57075097"}, {"ref": "ayushvaish2000/titanic", "kernel_id": "57145489"}, {"ref": "sedatmagac/titanikte-hayata-kalma", "kernel_id": "57242430"}, {"ref": "zayahanhasanshah/exercise-arithmetic-and-variables", "kernel_id": "57977395"}, {"ref": "muhammadadilnaeem/survival-prediction-using-deep-learning", "kernel_id": "57548422"}, {"ref": "giridharidash8989/survival-from-disater", "kernel_id": "57401280"}, {"ref": "ashup340/gi-task-titanic-dataset", "kernel_id": "57689058"}, {"ref": "urshashimajumder/titanic-prediction", "kernel_id": "57511891"}, {"ref": "stanisawstankiewicz/titanicsurvivors", "kernel_id": "57024415"}, {"ref": "ishanraychaudhuri/messing-around-with-data-from-the-titanic", "kernel_id": "57512965"}, {"ref": "esbastiango/titanic-survival-classification-knn-vs-ann", "kernel_id": "57649291"}, {"ref": "saiauc/lightgbm-simple-code", "kernel_id": "57432817"}, {"ref": "hayatesato95/titanic-survivor-prediction-model-siegess-ule", "kernel_id": "57502704"}, {"ref": "ikram98ai/titanic-machine-learning-from-disaster", "kernel_id": "57700991"}, {"ref": "fysalhameed/titanic-survival-prediction-using-xgboost-model", "kernel_id": "57916108"}, {"ref": "caseysolvberg/linear-model-and-neural-net-from-scratch", "kernel_id": "57752358"}, {"ref": "rexcoleman/outlier-the-silent-killer-rc-version", "kernel_id": "57034448"}, {"ref": "blacksilva/titanic-with-pycaret-learning", "kernel_id": "57835782"}, {"ref": "kanikachaudhary7/eda-data-analysis", "kernel_id": "57099951"}, {"ref": "amimisalam/titanic-as", "kernel_id": "57243952"}, {"ref": "hinaali03/logistic-regression-ai-assign-hina-ali-020", "kernel_id": "57591840"}, {"ref": "jaemin1120/titanic-machine-learning", "kernel_id": "57134239"}, {"ref": "fernandodossantos12/titanic-notebooks-my-first-works-with-ml", "kernel_id": "57491853"}, {"ref": "noahsmith321/titanic-tutorial", "kernel_id": "57492145"}, {"ref": "hysnnng/titanic-eda-practice", "kernel_id": "57521423"}, {"ref": "hysnnng/eda-to-prediction-dietanic", "kernel_id": "57555122"}, {"ref": "aishwaryabachate/titanic-ml-from-disaster", "kernel_id": "57587269"}, {"ref": "imnazir/titanic-competetion", "kernel_id": "57535072"}, {"ref": "namng16a/getting-started-with-titanic", "kernel_id": "57802366"}, {"ref": "ludjyderisier/titanic-submission", "kernel_id": "57280117"}, {"ref": "dannygarciacortes/my-first-competition", "kernel_id": "57280351"}, {"ref": "dannygarciacortes/titanic-and-fastai", "kernel_id": "57722053"}, {"ref": "anatoliiveselyi/titanic-get-started", "kernel_id": "57830358"}, {"ref": "fatihildeniz/titanic", "kernel_id": "57562759"}, {"ref": "handandegerli/fork-of-advanced-functional-exploratory-data-analy", "kernel_id": "57805289"}, {"ref": "handandegerli/advanced-functional-exploratory-data-analysis-eda", "kernel_id": "57801494"}, {"ref": "handandegerli/eda-for-categorical-variables", "kernel_id": "57768670"}, {"ref": "smita11akolkar/titanic-predicting-survival-rate", "kernel_id": "57347772"}, {"ref": "virripranav/notebookbba177b605", "kernel_id": "57061592"}, {"ref": "pamalkrmondal/titanic-disaster-survivor-prediction-rfc", "kernel_id": "57023868"}, {"ref": "filippogotta/titanic-1-0", "kernel_id": "57117178"}, {"ref": "kunalpathak77/titanic-data-set-analysis-visualization", "kernel_id": "57348738"}, {"ref": "mervitsayed20/titanic-logisticregression", "kernel_id": "57161617"}, {"ref": "ravesandstorm/titanic-survival-end-to-end-ml-pipeline", "kernel_id": "57512716"}, {"ref": "omarelhossiny/titanac-code", "kernel_id": "57627960"}, {"ref": "isayusufakmak/second-eda", "kernel_id": "57934841"}, {"ref": "enestalhaervan/exercise-with-titanic-competition", "kernel_id": "57934123"}, {"ref": "abhishekparita13/titanic-dataset-ab13", "kernel_id": "57771412"}, {"ref": "marcelbiselli/ai-ex2", "kernel_id": "57791741"}, {"ref": "viniciusbraz03/titanic-machine-learning-from-disaster", "kernel_id": "57800685"}, {"ref": "jguevara82/titanic-machine-learning-from-disaster", "kernel_id": "57980446"}, {"ref": "emphymachine/lx-semicon-python-programming-09-pandas-basic", "kernel_id": "58918561"}, {"ref": "jotaro/the-first-minute-titanic-eda", "kernel_id": "58639172"}, {"ref": "jotaro/cv-0-8485-titanic-xgb-optuna-tuning", "kernel_id": "58464090"}, {"ref": "shionhonda/applying-lightgbm-to-titanic-dataset", "kernel_id": "58112678"}, {"ref": "yamanity/wandb-test-titanic-01-preprocessing", "kernel_id": "58974581"}, {"ref": "rzchallenger/titanic-sklearn", "kernel_id": "58100525"}, {"ref": "stpeteishii/titanic-flaml", "kernel_id": "58433345"}, {"ref": "jungwindy/titanic-junguk", "kernel_id": "58720009"}, {"ref": "coralengel/data-exploration-mastering-ml-basics", "kernel_id": "58836348"}, {"ref": "andreascharalambous/titanic-survival-tutorial-fixed", "kernel_id": "58233928"}, {"ref": "ajayvirsingh/titanic", "kernel_id": "58272115"}, {"ref": "tnssivani/titanic-first-attempt-cabin-division", "kernel_id": "58974522"}, {"ref": "retal95/titanic-ahmed-eed", "kernel_id": "58598357"}, {"ref": "sonnylowe/titanic-simple-deep-learning-tutorial", "kernel_id": "58596772"}, {"ref": "lauvfpitipak/random-forest-classifier-on-titanic-disaster", "kernel_id": "58960952"}, {"ref": "marktomm/titanic", "kernel_id": "58904253"}, {"ref": "jyotirmoydey/titanic", "kernel_id": "58972536"}, {"ref": "blacktigerc7/titanic-machine-learning-from-disaster", "kernel_id": "58407334"}, {"ref": "sethuramantj/titanic-dataset", "kernel_id": "58988034"}, {"ref": "adityakalyankar/titanic", "kernel_id": "58734945"}, {"ref": "maverickss26/titanic-survival-analysis", "kernel_id": "58588988"}, {"ref": "josepnc/titanic-eda-test", "kernel_id": "58825299"}, {"ref": "aryan101/titanic-disaster-predictions", "kernel_id": "58802917"}, {"ref": "pythonafroz/mastering-data-visualization-techniques-part-1", "kernel_id": "58647302"}, {"ref": "vadimshabashov/mmdetection-startup-on-kaggle", "kernel_id": "58466103"}, {"ref": "kawsarahmad/titanic-survivor-prediction-using-random-forest-ce", "kernel_id": "58637217"}, {"ref": "steinfire/notebook82e9db640d", "kernel_id": "58451455"}, {"ref": "oluwaboriige/eda-and-feature-engineering", "kernel_id": "58850262"}, {"ref": "hardsty1e/my-first-model-titanic-dataset", "kernel_id": "58058009"}, {"ref": "justinbui12/kaggle-titanic-challenge", "kernel_id": "58897417"}, {"ref": "abdoelgazar/titanic", "kernel_id": "58321375"}, {"ref": "maksimspiridonov/titanic-with-random-forest", "kernel_id": "58980707"}, {"ref": "bettyannjames/prodigy-infotech-task-1", "kernel_id": "58280520"}, {"ref": "emmaviani/titanic-notebook", "kernel_id": "58616030"}, {"ref": "dem0nking/titanic-survivability-prediction-w-visualization", "kernel_id": "58819106"}, {"ref": "mdtahseenequbal/exercise-arithmetic-and-variables", "kernel_id": "58880836"}, {"ref": "anapaulaferes/titanic-competition", "kernel_id": "58800660"}, {"ref": "spyroskonstadopoulos/titanic-classification-with-xgboost", "kernel_id": "58921901"}, {"ref": "zeeshier/titantic-dataset", "kernel_id": "58106421"}, {"ref": "abdurrahman22224/titanic-submission", "kernel_id": "58611771"}, {"ref": "sarthakaggarwal267/titanic-data-preprocessing", "kernel_id": "58629027"}, {"ref": "kczajkowski/titanic-competition", "kernel_id": "58660173"}, {"ref": "fanbodzo/titanic", "kernel_id": "58440039"}, {"ref": "devashishsharma2302/notebookfae8b2de2e", "kernel_id": "58353263"}, {"ref": "issaczerubbabel/trying-out-the-torch-on-titanic", "kernel_id": "58282194"}, {"ref": "rajiulhasan/titanic-project", "kernel_id": "58808063"}, {"ref": "emmaluck/notebook615b9663b0", "kernel_id": "58556899"}, {"ref": "qasim3oomro/disaster-analysis-titanic-dataset", "kernel_id": "58459581"}, {"ref": "aruzhantuletbekova/titanic", "kernel_id": "58636503"}, {"ref": "aakarsh12bansal/intro-to-ds-matplotlib", "kernel_id": "58716937"}, {"ref": "pratik1001/titanic", "kernel_id": "58888233"}, {"ref": "saadyaqine/titanic-competition", "kernel_id": "58942875"}, {"ref": "adrivs711/titanic-complete-machine-learning-tutorial", "kernel_id": "58217322"}, {"ref": "baseershah/titanic", "kernel_id": "58066643"}, {"ref": "shaludeen/titanic-classification", "kernel_id": "58824051"}, {"ref": "roberts88/robstitanicpredictions", "kernel_id": "58081014"}, {"ref": "chvharshit/titanic", "kernel_id": "58258634"}, {"ref": "aniranjanaramanujam/titanic-dataset-prediction-decision-tree", "kernel_id": "58051503"}, {"ref": "chintanbhutiya/pandas-tutorial-9c6829", "kernel_id": "58661583"}, {"ref": "darshanvg/3-models-knn-lr-svm", "kernel_id": "58043836"}, {"ref": "amitsubhashchejara/titanic-by-amitsc", "kernel_id": "58822578"}, {"ref": "tacticularcancer/titanic", "kernel_id": "58667330"}, {"ref": "sohailqwdwd/titanic-survival-prediction-using-xgboost", "kernel_id": "58724407"}, {"ref": "saikumarreddynossam2/notebook9459ba39c5", "kernel_id": "58758553"}, {"ref": "gatabhjsbaj/applying-clt-on-titanic", "kernel_id": "58928187"}, {"ref": "naveenn004/titanic-1", "kernel_id": "58509897"}, {"ref": "danishmahdi/getting-started-with-titanic", "kernel_id": "58590777"}, {"ref": "mohammedzaid27/titanic-survival", "kernel_id": "58499040"}, {"ref": "atharvatawade/titanic-ml", "kernel_id": "58718194"}, {"ref": "perrysmartin/titanic-logistic-regression-survival-prediction", "kernel_id": "58908173"}, {"ref": "edumisvieramartin/titanic-competition", "kernel_id": "58822878"}, {"ref": "roysegall/titanic2", "kernel_id": "58918189"}, {"ref": "muheedahmedkhan/titanic", "kernel_id": "58661946"}, {"ref": "manzoorasif/random-forest-take-1", "kernel_id": "58595478"}, {"ref": "aravindproml/titanic1", "kernel_id": "58659253"}, {"ref": "maksn610/random-forest-titanic", "kernel_id": "58837338"}, {"ref": "innocentvordzorgbe/titanic-mortality-prediction", "kernel_id": "58578293"}, {"ref": "desalperterson/titanic-prediction-with-8-ml-models", "kernel_id": "58927175"}, {"ref": "onesinustamba/titanic-survival-prediction-gradient-boosting", "kernel_id": "58637077"}, {"ref": "freddyzhang04/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "58188986"}, {"ref": "vipinmeghwal/titantanic-dataset-model", "kernel_id": "58571997"}, {"ref": "raunakkumarbharti/titanic-data-preprocessing", "kernel_id": "58806857"}, {"ref": "lalchandbadsha/frequency-tables-with-titanic", "kernel_id": "58200796"}, {"ref": "mohammed237/titanic", "kernel_id": "58165048"}, {"ref": "mahazubair/titanic", "kernel_id": "58504886"}, {"ref": "nivsaha/titanic-1", "kernel_id": "58714216"}, {"ref": "usmanbinzain/titanic-competition-notebook", "kernel_id": "58209819"}, {"ref": "sujiq9707/t2-1-titanic-simple-baseline", "kernel_id": "58856708"}, {"ref": "iamalredygod/titanic-prediction-all-models", "kernel_id": "58029255"}, {"ref": "andreagobbez/titanic-machine-learning-from-disaster", "kernel_id": "58570522"}, {"ref": "sanjeetraj/notebook1899d50592", "kernel_id": "58087412"}, {"ref": "zacharymcollins/predicting-survival-with-logistic-regression", "kernel_id": "58418920"}, {"ref": "simonelaguardia/titanic", "kernel_id": "58886846"}, {"ref": "reyaanshjhaveri/titanic-tutorial", "kernel_id": "58572035"}, {"ref": "justinqyb/titanic-survived-prediction", "kernel_id": "58581824"}, {"ref": "hakaniikmustik1453/ml-proje", "kernel_id": "58535646"}, {"ref": "cagatayoz/titanic-survival-predictions-beginner-code-test", "kernel_id": "58028390"}, {"ref": "cagatayoz/eda-to-prediction-dietanic-test-code", "kernel_id": "58031292"}, {"ref": "ibrarhussain123/titanic-neural-network-notebook", "kernel_id": "58962695"}, {"ref": "swarnshekhar001/titanic", "kernel_id": "58305221"}, {"ref": "vimalml/notebook8a4d8c392d", "kernel_id": "58643210"}, {"ref": "tiagomercsrosrio/desafio-do-titanic", "kernel_id": "58068566"}, {"ref": "mevltbaaran/titanic-prediction", "kernel_id": "58044436"}, {"ref": "timurmaksutov/simple-random-forest-for-start", "kernel_id": "58580809"}, {"ref": "timurmaksutov/simple-logistic-regression-for-start", "kernel_id": "58582787"}, {"ref": "timurmaksutov/easy-voting-model-0-787", "kernel_id": "58568583"}, {"ref": "mesutordu/titanic-mo-education", "kernel_id": "58099668"}, {"ref": "jinayvora25/titanic-ml-models", "kernel_id": "58570678"}, {"ref": "yrmoore/simple-pytorch-mlp", "kernel_id": "58725917"}, {"ref": "mdisrar/titanicsol", "kernel_id": "58054677"}, {"ref": "yuntechimb11123020/titanic-g6", "kernel_id": "58367061"}, {"ref": "realzackmuckerberg/titanic-competition", "kernel_id": "58491270"}, {"ref": "nileshtarte02/titanic-survival", "kernel_id": "58028357"}, {"ref": "hanaagatta/python-for-data-5-lists", "kernel_id": "58510914"}, {"ref": "hanaagatta/python-for-data-7-dictionaries-and-sets", "kernel_id": "58510919"}, {"ref": "danielbrahimi/titanic-tutorial", "kernel_id": "58094176"}, {"ref": "malekpayne/titanic-tutorial", "kernel_id": "58094774"}, {"ref": "amandaarguiano/titanic-tutorial", "kernel_id": "58095274"}, {"ref": "joshharris12/titanic-tutorial", "kernel_id": "58095631"}, {"ref": "olliepope/titanic-tutorial", "kernel_id": "58093576"}, {"ref": "marcelbiselli/ai-ex3", "kernel_id": "58307439"}, {"ref": "chiragagrawal24/applying-model-titanic-dataset", "kernel_id": "58358615"}, {"ref": "chiragagrawal24/preprocessing-data-titanic-dataset", "kernel_id": "58357940"}, {"ref": "tanoojreddyseelam/titanic-machine-learning", "kernel_id": "58959018"}, {"ref": "juanluisacebal/titanic-machine-learning-from-disaster-jacebal", "kernel_id": "58140551"}, {"ref": "zzamanrashed/titanic-competition", "kernel_id": "58095408"}, {"ref": "giladtsfaty/rotem-gilad-titanic", "kernel_id": "58358622"}, {"ref": "daniel7722/titanticneuralnetwork", "kernel_id": "58261321"}, {"ref": "daniel7722/tensorflowgbt", "kernel_id": "58335535"}, {"ref": "gabrielnav/titanic-keras-basic-deeplearning", "kernel_id": "58320272"}, {"ref": "abdullahk007/ensemble-learning-techniques-tutorial", "kernel_id": "58346704"}, {"ref": "farhanpatel20/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "58994919"}, {"ref": "mustafaelmustafa/exercise-arithmetic-and-variables", "kernel_id": "58766730"}, {"ref": "msakr1/titanic-dataanalysis", "kernel_id": "58824981"}, {"ref": "anamitrachakrabortyy/notebook-titanic-machine-learning-from-disaster", "kernel_id": "58624746"}, {"ref": "jose1020/exercise-arithmetic-and-variables", "kernel_id": "58545276"}, {"ref": "shreyanshgupta007/titanic-prediction", "kernel_id": "58673752"}, {"ref": "wesgoldwater/wes-learning-titanic-skills", "kernel_id": "58683528"}, {"ref": "ikhlasmadiha/exercise-arithmetic-and-variables", "kernel_id": "58846872"}, {"ref": "z3tr01/notebooked027cd9cc", "kernel_id": "58665640"}, {"ref": "abhishekcs0021/titanic-data-preprocessing", "kernel_id": "58806860"}, {"ref": "guybenmoshe/project-1-titanic", "kernel_id": "58717492"}, {"ref": "aastha0021/titanic-dataset-preprocessing", "kernel_id": "58806861"}, {"ref": "engrmazeem/titanic-challange-with-randomforest", "kernel_id": "58902068"}, {"ref": "mantran1997/titanic-step1-man-shir", "kernel_id": "58909239"}, {"ref": "kavitasurana/titanic-tutorial", "kernel_id": "58982160"}, {"ref": "kavitasurana/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "58982252"}, {"ref": "rolandmueller/10-6-2024-pipeline-titanic", "kernel_id": "59427367"}, {"ref": "adisak/titanic-dsworkshop-summer2024", "kernel_id": "59089506"}, {"ref": "yamanity/wandb-test-titanic-02-training", "kernel_id": "59370973"}, {"ref": "minkj1992/titanic-keras-kerastuner-best-practices", "kernel_id": "59529478"}, {"ref": "mrod17/titantic-walkthrough", "kernel_id": "59463324"}, {"ref": "parijatr/w1-neural-nets", "kernel_id": "59406158"}, {"ref": "plavak10/titanic-survival-prediction", "kernel_id": "59556808"}, {"ref": "yaytorp/day2-pandas", "kernel_id": "59184695"}, {"ref": "asif10018/titanic-asif", "kernel_id": "59469766"}, {"ref": "drmurataltun/titanickaggle", "kernel_id": "59092766"}, {"ref": "paramedik/titanic", "kernel_id": "59291001"}, {"ref": "pavelkopka/titanic", "kernel_id": "59183043"}, {"ref": "jeongheumlee/getting-started-with-titanic", "kernel_id": "59781763"}, {"ref": "sbgonenc96/titanic-berk", "kernel_id": "59169475"}, {"ref": "vladbudya/laboratorna-4", "kernel_id": "59534007"}, {"ref": "priya2810/titanic-survival-prediction", "kernel_id": "59095091"}, {"ref": "margusl/titanic-with-r-tidymodels", "kernel_id": "59468002"}, {"ref": "lfcdhruv/prediction-of-titanic-survival-machine-learning", "kernel_id": "59161714"}, {"ref": "chomijeong/t1-1-outlier-iqr", "kernel_id": "59663708"}, {"ref": "chomijeong/t2-1-titanic-simple-baseline", "kernel_id": "59876075"}, {"ref": "maverickss26/titanic-survival-analysis-using-tabtransformer", "kernel_id": "59200246"}, {"ref": "ankitsinghnegi/titanic-notebook", "kernel_id": "59927040"}, {"ref": "papaji89989/bert-spacy-nltk", "kernel_id": "59185296"}, {"ref": "demeth/titanic-kaggle", "kernel_id": "59092782"}, {"ref": "harsh1618/titanic-competition", "kernel_id": "59185208"}, {"ref": "uzairabdullah/titanic-survival-prediction", "kernel_id": "59197042"}, {"ref": "sebastianusradhya/titanic-competition-w-ml", "kernel_id": "59364350"}, {"ref": "mybozkir/titanic-classification-v2", "kernel_id": "59039324"}, {"ref": "aykutsahin/titanickaggle", "kernel_id": "59296416"}, {"ref": "alainezazueta/titanic-challenge", "kernel_id": "59749950"}, {"ref": "abdulrahmanmahmoud/titanic-predictions", "kernel_id": "59406773"}, {"ref": "hetpatel01/titanic-machine-learning-from-disaster", "kernel_id": "59093543"}, {"ref": "mohibulhimu/titanic-machine-learning-from-disaster", "kernel_id": "59578917"}, {"ref": "ezequielalvessoares/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "59003895"}, {"ref": "kawchar85/getting-started-with-titanic", "kernel_id": "59697665"}, {"ref": "kawchar85/titanic-dataset-analysis", "kernel_id": "59843981"}, {"ref": "ashishraj5465/titanic-prediction", "kernel_id": "59428199"}, {"ref": "cansargin/titanic", "kernel_id": "59612466"}, {"ref": "kerimbrtem/titanic-ml", "kernel_id": "59730958"}, {"ref": "hadiehh/titanictry", "kernel_id": "59435875"}, {"ref": "shadmanjohn/shadman-first-notbook", "kernel_id": "59128716"}, {"ref": "jospadraosilva/exercise-arithmetic-and-variables", "kernel_id": "59177935"}, {"ref": "bharathkumar1011/titanic", "kernel_id": "59344909"}, {"ref": "niklasmorjan/titanic-competition", "kernel_id": "59899032"}, {"ref": "alivijdaan/hands-on-machine-learning-with-titanic-dataset", "kernel_id": "59993749"}, {"ref": "suripriyanka/dataset", "kernel_id": "59052637"}, {"ref": "starkhushi/titanic-eda-data-preprocessing-ml-algorithms", "kernel_id": "59435456"}, {"ref": "shahpranshu27/getting-started-with-titanic", "kernel_id": "59426855"}, {"ref": "nilaygzel/titanicmlng", "kernel_id": "59972197"}, {"ref": "pedrocortereal/mytitanicdisaster-pipe", "kernel_id": "59010626"}, {"ref": "eraycokun/kodlar-m-titanic", "kernel_id": "59168580"}, {"ref": "penguincabinet/bayesiannetwork-for-titanic", "kernel_id": "59267790"}, {"ref": "penguincabinet/lightgbm-with-optuna-for-titanic", "kernel_id": "59349616"}, {"ref": "siddhartha5356/tutorial-xgboost-with-pipelineing", "kernel_id": "59699142"}, {"ref": "axeleichelmann/titanic-survivor-predictions", "kernel_id": "59080123"}, {"ref": "gappfill/classic-ml-classification", "kernel_id": "59624186"}, {"ref": "lizasareen/outlier-detection-and-removal", "kernel_id": "59389446"}, {"ref": "mingyangding/titanic-and-fastai", "kernel_id": "59291455"}, {"ref": "kartik1trivedi/titanic-classification", "kernel_id": "59424822"}, {"ref": "mayukhbaruah/titanic-survival-prediction", "kernel_id": "59578557"}, {"ref": "gnpawar04/titanic-survival", "kernel_id": "59060901"}, {"ref": "amansherjadakhan/using-logistic-regression", "kernel_id": "59007983"}, {"ref": "spencerej/titanic-notebook", "kernel_id": "59900357"}, {"ref": "nishantdeswal1810/filter-based-methods-feature-selection", "kernel_id": "59923809"}, {"ref": "xmfaizan/my-first-nb-svm", "kernel_id": "59678221"}, {"ref": "anshuman0427/titanic", "kernel_id": "59203860"}, {"ref": "patrickowor/titanic-machine-learning-from-disaster", "kernel_id": "59478273"}, {"ref": "faresayadi055/notebook00b93dd964", "kernel_id": "59642600"}, {"ref": "shariphthapa/notebook1e52b1fec8", "kernel_id": "59508595"}, {"ref": "fenflei/notebookf63edb749a", "kernel_id": "59905734"}, {"ref": "alijandro/mytitanicsurvivor-1st-comp-submission", "kernel_id": "59258526"}, {"ref": "berkcangd/machine-learning-titanic-eda", "kernel_id": "59903260"}, {"ref": "muratmertguler/hands-on-ml-chapter-3-exercises-i", "kernel_id": "59192909"}, {"ref": "shaliniroycs/titanic-ml-model", "kernel_id": "59555618"}, {"ref": "vidhi2609/notebook668eb616b6", "kernel_id": "59923415"}, {"ref": "sameerrawat1904/titanic-survival", "kernel_id": "59937136"}, {"ref": "aandemir/titanic-dataset", "kernel_id": "59661985"}, {"ref": "vishrutmishra/titanic-machine-learning-from-disaster", "kernel_id": "59285880"}, {"ref": "matteobelletti89/titanic-survival-prediction", "kernel_id": "59472633"}, {"ref": "kota0806/titanic-lightgbm-2", "kernel_id": "59183964"}, {"ref": "profodonnell/titanic-classifier-with-pipeline", "kernel_id": "59081307"}, {"ref": "profodonnell/titanic-classier-june62024", "kernel_id": "59114905"}, {"ref": "profodonnell/titanic-classier-june132024", "kernel_id": "59735435"}, {"ref": "sabbirhasif/titanic", "kernel_id": "59323905"}, {"ref": "muhammadirfansajid/titanic-dataset-machine-learning-model-project", "kernel_id": "59272001"}, {"ref": "ranatalha71/titanic-eda-ensmeble", "kernel_id": "59895183"}, {"ref": "janinetowle/titanic-machine-learning-from-disaster-jst", "kernel_id": "59770428"}, {"ref": "cartoonistbeard/titanicneural-2", "kernel_id": "59434837"}, {"ref": "whatthedatahastotell/exercise-arithmetic-and-variables", "kernel_id": "59156507"}, {"ref": "champham/ai-assignment-cqp-decisiontreeclassifier", "kernel_id": "59508862"}, {"ref": "adityadebnath0202/titanic-competition", "kernel_id": "59821623"}, {"ref": "eestefaniiacruz/predicting-titanic-survivors", "kernel_id": "59109868"}, {"ref": "chagallamusinde/titanic", "kernel_id": "59878703"}, {"ref": "aarooongeorge/titanicsubmission", "kernel_id": "59883977"}, {"ref": "gautiermarechal/challenge-du-titanic", "kernel_id": "59553312"}, {"ref": "naveennas/titanic-survival-prediction", "kernel_id": "59648566"}, {"ref": "alanzanardi/titanic-dataset-pre-processing-2-0", "kernel_id": "59339668"}, {"ref": "sevvalbeyhanbilgi/titanic-survival-prediction-using-various-machine", "kernel_id": "59063631"}, {"ref": "vishalyginny/titanic-notebook", "kernel_id": "59531613"}, {"ref": "yusufenes/titanic-prediction", "kernel_id": "59168056"}, {"ref": "josepablobarrantes/notebookb0cdb6e65b", "kernel_id": "59919071"}, {"ref": "spmohanty09/survival-prediction-on-titanic-dataset", "kernel_id": "59852791"}, {"ref": "realzackmuckerberg/exercise-arithmetic-and-variables", "kernel_id": "59256534"}, {"ref": "mehmetdenizli/titanic-kaggle", "kernel_id": "59217426"}, {"ref": "yakshitharongali/notebook84e50bc618", "kernel_id": "59884021"}, {"ref": "fabiooliveira4/titanic-aprendizado-de-m-quina-de-desastre", "kernel_id": "59291759"}, {"ref": "naimekorkmaz/titanickaggle", "kernel_id": "59092785"}, {"ref": "vladvolochii/lab-1volochii", "kernel_id": "59621489"}, {"ref": "botlavamsikrishna/class-3", "kernel_id": "59117963"}, {"ref": "shirmelayev/titanic-step1-man-shir-548dba", "kernel_id": "59057393"}, {"ref": "masatochino/titanic-tutorial-chino", "kernel_id": "59053531"}, {"ref": "ayseller/titanic-kaggle", "kernel_id": "59092821"}, {"ref": "itskhanna/titanic-machine-learning-from-disaster", "kernel_id": "59836800"}, {"ref": "iichihiro/datascience0621-report", "kernel_id": "59154170"}, {"ref": "innocentdanjuma/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "59278611"}, {"ref": "nkemdilimbegho/titanic-tutorial", "kernel_id": "59280025"}, {"ref": "tendaindoro/titanic-tutorial", "kernel_id": "59527754"}, {"ref": "sage1407/day-2-pandas-notebook", "kernel_id": "59246125"}, {"ref": "tonquishageter/titanic-machine-learning", "kernel_id": "59473941"}, {"ref": "yuntechimb11123055/fork-of-group22-1-45e181", "kernel_id": "59736758"}, {"ref": "surabhikolte/titanicprediction", "kernel_id": "59578250"}, {"ref": "merthot/titanic-kaggle", "kernel_id": "59457083"}, {"ref": "lorenzweissenberg/titanic-lw", "kernel_id": "59713723"}, {"ref": "yuxili2373/hw-11-problem-3", "kernel_id": "59743001"}, {"ref": "kaderdag/kadertitanic", "kernel_id": "59734574"}, {"ref": "yaarcelayr/yasar-celay-r", "kernel_id": "59842316"}, {"ref": "hanifekaptan/titanic-kaggle", "kernel_id": "59906407"}, {"ref": "shreypatel750/shrey-bonus-assigment", "kernel_id": "59907342"}, {"ref": "tavleendeol/tavleen-deol-bonus", "kernel_id": "59907345"}, {"ref": "newkidontheblock/bbdml-noon-day5", "kernel_id": "60783042"}, {"ref": "newkidontheblock/bbdml-noon-day6", "kernel_id": "60851880"}, {"ref": "rlingle/getting-started-with-titanic", "kernel_id": "60516401"}, {"ref": "emphymachine/lges-12-linear-algebra-practice", "kernel_id": "60545058"}, {"ref": "emphymachine/lges-08-pandas-101", "kernel_id": "60382294"}, {"ref": "emphymachine/lges-13-ml-sklearn-tutorial", "kernel_id": "60776550"}, {"ref": "alazadi/random-forests-from-tutorial", "kernel_id": "60995410"}, {"ref": "mahadevmm9/titanic-disaster", "kernel_id": "60354551"}, {"ref": "sibeldinc/titanic-kaggle", "kernel_id": "60085558"}, {"ref": "stpeteishii/titanic-pycaret", "kernel_id": "60288565"}, {"ref": "tanakasandesuka/top-3-7-lines-of-codes", "kernel_id": "60825575"}, {"ref": "swhale/week1-python", "kernel_id": "60922306"}, {"ref": "srilalithagarapati/titanic-ml-form-disaster", "kernel_id": "60110398"}, {"ref": "csmohamedayman/ml-catg-titanic-disaster", "kernel_id": "60597127"}, {"ref": "wouldyoujustfocus/llama3-8b-llm20-questions-lb-750", "kernel_id": "60990185"}, {"ref": "drmurataltun/c1-titanic-auto-ml", "kernel_id": "60145468"}, {"ref": "soyoungpark63/titanic-machine-learning-from-disaster", "kernel_id": "60581962"}, {"ref": "erezlavi/exc1-titanic", "kernel_id": "60241359"}, {"ref": "keerthana2002/prac6-task2-fastai-lesson-5b-use-a-framework", "kernel_id": "60779179"}, {"ref": "tajallaiqbal/titanic-logistic-regression", "kernel_id": "60890706"}, {"ref": "ashmitjagtap/notebook31dfc4131f", "kernel_id": "60939635"}, {"ref": "richa1singh/titanic-machine-learning", "kernel_id": "60192877"}, {"ref": "farzantashfeen/supervised-machine-learning", "kernel_id": "60079424"}, {"ref": "romananourin/titanic-machine-learning-from-disaster-challenge", "kernel_id": "60779595"}, {"ref": "ytty001/notebookd3e2434061", "kernel_id": "60470483"}, {"ref": "param302/mlp-session-7-by-parampreet-singh", "kernel_id": "60967783"}, {"ref": "param302/mlp-session-6-by-parampreet-singh", "kernel_id": "60714641"}, {"ref": "param302/mlp-session-5-by-parampreet-singh", "kernel_id": "60512004"}, {"ref": "shahriarsaikat/titanic-disaster", "kernel_id": "60083903"}, {"ref": "owenricker/loglasso-classification-w-autoeda", "kernel_id": "60177650"}, {"ref": "abhikdhar/titanic-project-4-july-wip", "kernel_id": "60567134"}, {"ref": "carstenstahl/titanic-classification-using-bayes", "kernel_id": "60846426"}, {"ref": "farhaansiddiqui/titanic-knn-w-gridsearch", "kernel_id": "60604260"}, {"ref": "gkanamoto/experiment-use-only-the-name-column", "kernel_id": "60869334"}, {"ref": "mimola/titanic-visualization-and-prediction", "kernel_id": "60600394"}, {"ref": "ahmedemadeldeen/project-statistical-auto-correct-system", "kernel_id": "60584547"}, {"ref": "sugurutsujioka/2024titanic-tutorial-2nd", "kernel_id": "60177161"}, {"ref": "sugurutsujioka/2024titanic-tutorial-3rd", "kernel_id": "60182018"}, {"ref": "joonohpark/intothetitanic", "kernel_id": "60471110"}, {"ref": "bagusr/titanic-tutorial", "kernel_id": "60554117"}, {"ref": "alejandroee/titanic-ml-supervisado", "kernel_id": "60530696"}, {"ref": "menghuayuan/statistics-final-assignment", "kernel_id": "60393195"}, {"ref": "sarojpoudel/notebooke665a6867d", "kernel_id": "60574397"}, {"ref": "jigneshkirtinagda/titanic-survival-prediction", "kernel_id": "60439069"}, {"ref": "krishd123/naive-bayes-classification", "kernel_id": "60642688"}, {"ref": "chaitya0623/titanic-dataset-beginners-guide", "kernel_id": "60641979"}, {"ref": "drullok/titanic-23-06-2024", "kernel_id": "60520817"}, {"ref": "philipedward/titanic-pclass", "kernel_id": "60987659"}, {"ref": "farisellmola/titaniccomparisonbetweenmodels-visualization", "kernel_id": "60821381"}, {"ref": "avirashbadgainyan/titanic-survival-predictor", "kernel_id": "60683531"}, {"ref": "alperseyman/titanic-eda", "kernel_id": "60426329"}, {"ref": "tamagzz/tiatnic-disaster-iteration-3", "kernel_id": "60212704"}, {"ref": "mohamedsayedamarmsa/titanic", "kernel_id": "60971399"}, {"ref": "mipalose/challenge-du-titanic", "kernel_id": "60484313"}, {"ref": "nickoubre/titanic-survival", "kernel_id": "60002043"}, {"ref": "makismlitvinov/kan-titanec", "kernel_id": "60575511"}, {"ref": "haru22/titanic-template", "kernel_id": "60846178"}, {"ref": "salihsaritepe/titanic-eda-fe-optuna-pipelines-2024", "kernel_id": "60866406"}, {"ref": "uysalcan/residual-connections-on-logistic-regression", "kernel_id": "60676253"}, {"ref": "yama777/notebook6b23c8c2a4", "kernel_id": "60669305"}, {"ref": "shunlm/notebook-0621", "kernel_id": "60725373"}, {"ref": "mohamedabdirsaks/the-titanic-competion", "kernel_id": "60881016"}, {"ref": "penguincabinet/svm-for-titanic", "kernel_id": "60073364"}, {"ref": "shiokosyouuu/notebook7df33568a8", "kernel_id": "60743283"}, {"ref": "yuvalmehta/titanic-competition1", "kernel_id": "60980948"}, {"ref": "ahmedbaswoenyashour/titanic-machine-learning-analysis", "kernel_id": "60520772"}, {"ref": "hujimoriizumi/notebooke9b25a365d", "kernel_id": "60578075"}, {"ref": "kandwolf/notebookc036ea33fe", "kernel_id": "60565913"}, {"ref": "ankita20chaudhary/titanic-data-analysis", "kernel_id": "60691885"}, {"ref": "ziouc97/titanic-data-analysis-and-pridict", "kernel_id": "60100727"}, {"ref": "eduardotvn/titanicprediction", "kernel_id": "60436935"}, {"ref": "sazzadabrar/titanic-survived", "kernel_id": "60159313"}, {"ref": "kaoruyokobori/10-titanic", "kernel_id": "60567374"}, {"ref": "sathishgsmss/titanic-machine-learning-disaster", "kernel_id": "60055798"}, {"ref": "hilaltrkaslan/titanic-machinee", "kernel_id": "60084659"}, {"ref": "jassukaur/titanic-competition", "kernel_id": "60260412"}, {"ref": "kendricklinn/titanic-survival-prediction", "kernel_id": "60700677"}, {"ref": "kubrakara/titanickaggle", "kernel_id": "60653487"}, {"ref": "samvidaaggarwal/titanic-competition", "kernel_id": "60215707"}, {"ref": "fahmidachowdhury/titanic-survival-prediction", "kernel_id": "60003779"}, {"ref": "elabbassiyassine/titanic-survival-models", "kernel_id": "60885976"}, {"ref": "staniska/titanic", "kernel_id": "60558050"}, {"ref": "ttazed/titanic-competition", "kernel_id": "60565322"}, {"ref": "maginshi/titanic-bigdatafinalexam", "kernel_id": "60410933"}, {"ref": "metinmekiabullrahman/titanic-survival-analysis", "kernel_id": "60259811"}, {"ref": "arthurfelipereis/titanic", "kernel_id": "60175973"}, {"ref": "stktyagi/titanic-log-reg-with-featuring-engineering", "kernel_id": "60577187"}, {"ref": "sanandml/titanic-ml-workflow", "kernel_id": "60561471"}, {"ref": "hieunguyendatum/naivebayes-titanic-dataset", "kernel_id": "60116311"}, {"ref": "aryansaiboddu/titanic-survival", "kernel_id": "60064740"}, {"ref": "rishav15/notebookdc171ed5fd", "kernel_id": "60304703"}, {"ref": "kota0806/titanic-feature-engineer", "kernel_id": "60117012"}, {"ref": "ketkijain/eda-on-titanic-data", "kernel_id": "60801429"}, {"ref": "zgeakr/titanickaggle", "kernel_id": "60653894"}, {"ref": "hareeeshhh/task-2", "kernel_id": "60668708"}, {"ref": "estellelm/preprocessing", "kernel_id": "60413285"}, {"ref": "marcusreul/titanic-proyecto", "kernel_id": "60324290"}, {"ref": "chagallamusinde/titanic-dataset-random-forest-classifier", "kernel_id": "60312203"}, {"ref": "chagallamusinde/titanic-logistic-regression", "kernel_id": "60079447"}, {"ref": "mihribanzdemir/titanic", "kernel_id": "60080723"}, {"ref": "kaushikdas9/titanic-dataset-first-time", "kernel_id": "60635575"}, {"ref": "senthanselvi/task-2", "kernel_id": "60667105"}, {"ref": "ahmedhussien710/titanic-projects", "kernel_id": "60813587"}, {"ref": "nourhanessa/titanic-project", "kernel_id": "60668927"}, {"ref": "mehakpal/notebookdc34be14bf", "kernel_id": "60076161"}, {"ref": "suvroo/ml-models-using-only-numpy-pandas-from-scratch", "kernel_id": "60814192"}, {"ref": "dilberkartal/titanickaggle", "kernel_id": "60077783"}, {"ref": "qasimghumman/titanic-predication", "kernel_id": "60868972"}, {"ref": "jainaru/titanic-eda-and-ensemble-models", "kernel_id": "60129519"}, {"ref": "magpiedata/titanic-survivorship-testing-classical-models", "kernel_id": "60449264"}, {"ref": "magpiedata/magpiedata-titanic", "kernel_id": "60272994"}, {"ref": "haiderrasoolqadri/titanic-survival-prediction", "kernel_id": "60636836"}, {"ref": "aiswani/titanic-challenge", "kernel_id": "60574635"}, {"ref": "marinamermaid/titanic-competition", "kernel_id": "60067021"}, {"ref": "vishalyginny/titanic", "kernel_id": "60391398"}, {"ref": "jlunax4300/notebook6aa40fdc93", "kernel_id": "60646741"}, {"ref": "zanellomatteo/notebookdda1938b42", "kernel_id": "60877196"}, {"ref": "hseyinbural/titanik-eda", "kernel_id": "60003971"}, {"ref": "vedikachef/titanic", "kernel_id": "60789184"}, {"ref": "tsayed91/titanic-predictions", "kernel_id": "60972681"}, {"ref": "takat2024/notebook-titanic-lgbm", "kernel_id": "60547193"}, {"ref": "mismailturkoglu/titanickaggle", "kernel_id": "60065694"}, {"ref": "nesliahztrk/titanic-kaggle", "kernel_id": "60339979"}, {"ref": "jamescookjr90/titanickaggle", "kernel_id": "60069068"}, {"ref": "mdhossanr/titanic-ml-from-disaster-76-accuracy", "kernel_id": "60513487"}, {"ref": "ouzberkaydin/titanic-machine-learning-model", "kernel_id": "60508890"}, {"ref": "engelramirez/exercise-arithmetic-and-variables", "kernel_id": "60755110"}, {"ref": "wayachan/titanic-wayachan", "kernel_id": "60576349"}, {"ref": "wayachan/titanic-waya", "kernel_id": "60567431"}, {"ref": "waleedkhan296/fork-of-titanic-prediction-ai-project-waleed-khan", "kernel_id": "60857654"}, {"ref": "waleedkhan296/titanic-prediction-ai-project-waleed-khan", "kernel_id": "60852643"}, {"ref": "ryu1175/notebooka12b232a78", "kernel_id": "60556115"}, {"ref": "you2rad/test-titanic", "kernel_id": "60710614"}, {"ref": "salehmalik/notebook83507ce252", "kernel_id": "60943948"}, {"ref": "eriobu/notebookfa97c1da5d", "kernel_id": "60111913"}, {"ref": "itsmatch/titanic-with-randomforestclassifier-77-5-acc", "kernel_id": "60635057"}, {"ref": "tedli927/titanic", "kernel_id": "60990141"}, {"ref": "diyabaghla/notebook11471ad567", "kernel_id": "60633812"}, {"ref": "shadabmalikcse/titanic-machine-learning-from-disaster", "kernel_id": "60715654"}, {"ref": "yogitag185/titanic-prediction-17-01-2026", "kernel_id": "60555321"}, {"ref": "kenanavar/auto-ml-titanic", "kernel_id": "60964447"}, {"ref": "leejeongju22/titanic-pratice-0616", "kernel_id": "60076776"}, {"ref": "shijiehua/genshinimpact-start", "kernel_id": "60113335"}, {"ref": "shintaniharu/data-visualization", "kernel_id": "60760355"}, {"ref": "aneeshgrover/titanic", "kernel_id": "60752075"}, {"ref": "hkkmno/titanic-homework", "kernel_id": "60723948"}, {"ref": "paruproy26/titanic-survival-prediction", "kernel_id": "60189868"}, {"ref": "yevhendb/lab-1", "kernel_id": "60266819"}, {"ref": "highsinberg/are-you-drowning", "kernel_id": "60085791"}, {"ref": "banban3/notebooke2451926fc", "kernel_id": "60587034"}, {"ref": "rinaguo/linear-reg-model-titanic", "kernel_id": "60760258"}, {"ref": "rinaguo/gradient-boosting", "kernel_id": "60761173"}, {"ref": "hjz944936173/notebook87c5213407", "kernel_id": "60392070"}, {"ref": "hjz944936173/notebook6fc7664116", "kernel_id": "60284884"}, {"ref": "hjz944936173/notebook8b84360380", "kernel_id": "60189542"}, {"ref": "kouki0507/notebookcba32dbd22", "kernel_id": "60538823"}, {"ref": "bandotarou/notebooka322a468e0", "kernel_id": "60559840"}, {"ref": "tibigame/notebookb6c8832a49", "kernel_id": "60551513"}, {"ref": "komkom061/notebook08177562d4", "kernel_id": "60760753"}, {"ref": "li1827634/notebook3792686239", "kernel_id": "60224024"}, {"ref": "tomoyafujihara/notebooke9b25a365d", "kernel_id": "60556877"}, {"ref": "yusuketomoyasu/notebook2d1f451133", "kernel_id": "60470664"}, {"ref": "choyeeun0215/notebook5d79b9d3be", "kernel_id": "60641459"}, {"ref": "shunya1216/notebookd802fa68a9", "kernel_id": "60725687"}, {"ref": "yungus/notebooke9b25a365d", "kernel_id": "60637727"}, {"ref": "yungus/notebook1f99f237de", "kernel_id": "60562012"}, {"ref": "hapihapi123/notebook8cc2224967", "kernel_id": "60567565"}, {"ref": "c493759/notebook608543689e", "kernel_id": "60566717"}, {"ref": "sakana357/notebook9d7ccd0039", "kernel_id": "60699389"}, {"ref": "yakinikuteishoku/notebookd80339e482", "kernel_id": "60582436"}, {"ref": "jeongyj32/my-first-data-analysis-for-titanic", "kernel_id": "60761366"}, {"ref": "jeongyj32/titanic-eda-to-prediction-die-tanic", "kernel_id": "60932510"}, {"ref": "valinrandall/titanic-competition", "kernel_id": "60261034"}, {"ref": "kentokodokkoi/notebook45d0a86c5f", "kernel_id": "60670218"}, {"ref": "nekograph/titanic2", "kernel_id": "60668867"}, {"ref": "anfoxy/notebookb0e257e150", "kernel_id": "60254805"}, {"ref": "anfoxy/notebook44fc6b641a", "kernel_id": "60265832"}, {"ref": "anfoxy/notebook858083ce87", "kernel_id": "60265359"}, {"ref": "kokomimi/notebookb8d3ecbb43", "kernel_id": "60685341"}, {"ref": "nikujaga/notebooke9b25a365d", "kernel_id": "60645981"}, {"ref": "badboev/iiboev-titanic-lr-ml", "kernel_id": "60148487"}, {"ref": "badboev/iiboev-titanic-xgboost", "kernel_id": "60162824"}, {"ref": "badboev/iiboev-titanic-rf-ml", "kernel_id": "60162295"}, {"ref": "tsutsuikeiko/notebooke0017ee9c9", "kernel_id": "60723649"}, {"ref": "akiyoshiki/notebooka8dde59cb0", "kernel_id": "60697432"}, {"ref": "student0123/notebook927284d8dc", "kernel_id": "60591029"}, {"ref": "xlitol/titanic", "kernel_id": "60568915"}, {"ref": "yzk0737/notebook0f3fa5fdfc", "kernel_id": "60638330"}, {"ref": "kyoheitu/notebooke9b25a365d", "kernel_id": "60543915"}, {"ref": "wakairetsu/notebookebef24074e", "kernel_id": "60373963"}, {"ref": "eights/notebook5f039b5c59", "kernel_id": "60479042"}, {"ref": "belkaas/notebookffffbb30ae", "kernel_id": "60189626"}, {"ref": "nooryu2/notebooke9b25a365d", "kernel_id": "60569484"}, {"ref": "mocanumihaiadrian/titanic-mihaimocanu-for-competition", "kernel_id": "60259193"}, {"ref": "shokiu/notebookccdae70dc7", "kernel_id": "60730174"}, {"ref": "farhanabd05/getting-started-with-titanic", "kernel_id": "60824937"}, {"ref": "iaomizuhara/notebook365d", "kernel_id": "60664480"}, {"ref": "xiaohanke/kaggle-titanic", "kernel_id": "60297742"}, {"ref": "piro0127/notebook54260dad63", "kernel_id": "60758959"}, {"ref": "tsuchidameishi/notebooke9b25a365d", "kernel_id": "60587374"}, {"ref": "gtpz03/titanic-bigdatafinalexam", "kernel_id": "60311440"}, {"ref": "devampathak101/titanicusingrandomforestregressor", "kernel_id": "60934474"}, {"ref": "magedmallek/feature-selection-explained-rfecv", "kernel_id": "60361364"}, {"ref": "kengouematsu/notebookbb726911a8", "kernel_id": "60701527"}, {"ref": "nishimurakazuma/notebook05bb48311f", "kernel_id": "60484612"}, {"ref": "jaster76/notebookd5684eddad", "kernel_id": "60381441"}, {"ref": "onepineman/titani-practice", "kernel_id": "60666243"}, {"ref": "inaikairi/notebook85d473d13c", "kernel_id": "60568263"}, {"ref": "abzu1245/ds0621-titanic", "kernel_id": "60697860"}, {"ref": "torowang0809/notebookd5295ccbbb", "kernel_id": "60435007"}, {"ref": "fardhan248/titanic", "kernel_id": "60455690"}, {"ref": "yusukehorita/notebook2026edce67", "kernel_id": "60567078"}, {"ref": "kaimizuno20020113/notebooke9b25a365d", "kernel_id": "60564298"}, {"ref": "ninaiohsaki/notebookc12e5b3b0c", "kernel_id": "60461765"}, {"ref": "ashutoshmaurya07/titanic-ashu", "kernel_id": "60838799"}, {"ref": "belourgaothmane/titanic-machine-learning", "kernel_id": "60410079"}, {"ref": "kazumayamauchi/notebook2639479189", "kernel_id": "60421586"}, {"ref": "ahmedgaitani/titanic-code", "kernel_id": "60504443"}, {"ref": "slckcskn/notebook-titanic", "kernel_id": "60787536"}, {"ref": "rikamau1010/notebook1cdce1901e", "kernel_id": "60476827"}, {"ref": "aru1009/notebook2b0d6ef2a7", "kernel_id": "60457025"}, {"ref": "k0110k/notebook2dc4f50b80", "kernel_id": "60460864"}, {"ref": "edcba54321/notebook9c968d0462", "kernel_id": "60457716"}, {"ref": "ssskkr/notebookba7b2d8023", "kernel_id": "60735100"}, {"ref": "ganofu/notebook3a18cc03b7", "kernel_id": "60462169"}, {"ref": "toppo505/notebook1540ad9d57", "kernel_id": "60478294"}, {"ref": "rizz787/titanic-survived-prediction-a-good-ml-model", "kernel_id": "60971366"}, {"ref": "s10yyy/notebook0ef9780882", "kernel_id": "60752244"}, {"ref": "s10yyy/notebook", "kernel_id": "60752258"}, {"ref": "tomoki07/notebook238d23bdad", "kernel_id": "60570665"}, {"ref": "toshiya77/notebook115c83dec5", "kernel_id": "60567344"}, {"ref": "konokakayatani/notebookcc1da9d2ea", "kernel_id": "60474398"}, {"ref": "palmpino/notebook05900d016a", "kernel_id": "60556860"}, {"ref": "shimatakahiro/notebookf84d89ee9d", "kernel_id": "60473588"}, {"ref": "iwaiyukito/notebook3c69ba3be8", "kernel_id": "60474118"}, {"ref": "soraogawa/notebookc944bdce88", "kernel_id": "60473686"}, {"ref": "terryjjt/notebook13ba7b0463", "kernel_id": "60683454"}, {"ref": "lcjywg/notebook204b3a8ac6", "kernel_id": "60561107"}, {"ref": "nonochan8/6-21-data-science", "kernel_id": "60475800"}, {"ref": "haramomoka/notebookc6f1df82a3", "kernel_id": "60475966"}, {"ref": "naginagi7/notebook0ebdbb400d", "kernel_id": "60532357"}, {"ref": "oyakodonnnn/notebookc9f629bab5", "kernel_id": "60477732"}, {"ref": "thoraisim/notebookbfa0db244e", "kernel_id": "60478182"}, {"ref": "muratakatsuma/notebook4a504a1e44", "kernel_id": "60568384"}, {"ref": "catloveuoo/notebookd574210d77", "kernel_id": "60707545"}, {"ref": "catloveuoo/notebook62a96b8d3c", "kernel_id": "60706865"}, {"ref": "itokunihide/notebookcbe783a8a6", "kernel_id": "60559353"}, {"ref": "leonard08/notebook80082a3c9b", "kernel_id": "60571288"}, {"ref": "ayasemaru/notebook21ae9f2a79", "kernel_id": "60579412"}, {"ref": "taishimaru/notebook5e809d0c2d", "kernel_id": "60587992"}, {"ref": "poteto0121/notebook59c6b90f3c", "kernel_id": "60501193"}, {"ref": "ken0124/titanic", "kernel_id": "60703469"}, {"ref": "kajiyasu/notebook6816fac1f4", "kernel_id": "60566491"}, {"ref": "z591366230/notebook8dcdbe9ccf", "kernel_id": "60701453"}, {"ref": "yamaaa5/notebook79f4d49d85", "kernel_id": "60742352"}, {"ref": "hijityamun/notebookcf9d3facf1", "kernel_id": "60520628"}, {"ref": "xyt20010108/notebook04573d881b", "kernel_id": "60529423"}, {"ref": "almabady/titanic", "kernel_id": "60532193"}, {"ref": "us0826/kadai", "kernel_id": "60737356"}, {"ref": "marimo777/notebook5b4a1a00e0", "kernel_id": "60750274"}, {"ref": "satonaoya/notebook737d5c935b", "kernel_id": "60703980"}, {"ref": "bob1200/notebookbd8a9c77a4", "kernel_id": "60733628"}, {"ref": "soonminhong/notebooke45494faf8", "kernel_id": "60705819"}, {"ref": "ja109r/notebook43de6edc74", "kernel_id": "60546613"}, {"ref": "koyukitoyoshima/notebook4895baa33e", "kernel_id": "60554321"}, {"ref": "uenokotaro/test0", "kernel_id": "60573964"}, {"ref": "ainz114514/notebook8e22975aae", "kernel_id": "60640154"}, {"ref": "kenta4242/notebook6f0943b780", "kernel_id": "60611328"}, {"ref": "hayashimotoreita/notebook67f80b42bd", "kernel_id": "60553128"}, {"ref": "ss2024sub/notebook-class", "kernel_id": "60558708"}, {"ref": "yukimishi821/notebooke09122f6d7", "kernel_id": "60740335"}, {"ref": "yamasakiiiii/notebookc29bd7e3dd", "kernel_id": "60657702"}, {"ref": "diegomarado/notebook65322f8c28", "kernel_id": "60565099"}, {"ref": "kk131026/notebook-titanic", "kernel_id": "60557022"}, {"ref": "ciphis/titanic-base", "kernel_id": "60560918"}, {"ref": "okunonene/notebook2dd1ab7a28", "kernel_id": "60559664"}, {"ref": "nok009/notebook66b3ec7833", "kernel_id": "60577058"}, {"ref": "dekatsuyo/titanic-code", "kernel_id": "60560718"}, {"ref": "kootarou/notebookd75f59db01", "kernel_id": "60560357"}, {"ref": "chonboo/notebooke9b25a365d", "kernel_id": "60559545"}, {"ref": "ak1solar/notebooka83f7ad62a", "kernel_id": "60560794"}, {"ref": "om0526/notebook0d3262f11a", "kernel_id": "60560609"}, {"ref": "yasu1225/notebook71dd7ea8bc", "kernel_id": "60561746"}, {"ref": "eita18/notebooka29f37cbae", "kernel_id": "60560764"}, {"ref": "yoshikage1/notebookfcb4e13e2e", "kernel_id": "60561769"}, {"ref": "fujimotoyamato/notebook7ccdc553c8", "kernel_id": "60561142"}, {"ref": "tkmaya/notebookb3ce75f157", "kernel_id": "60561689"}, {"ref": "alberta542377616/notebook48734a63ee", "kernel_id": "60635963"}, {"ref": "ibrahimovic99/notebook577c7322d9", "kernel_id": "60696529"}, {"ref": "youbai/notebook86881b3777", "kernel_id": "60562344"}, {"ref": "payashibangi/notebooke9b25a365d", "kernel_id": "60561971"}, {"ref": "kosuke0613/notebook6342df0cb4", "kernel_id": "60562469"}, {"ref": "coconutsable/notebook1cef0639de", "kernel_id": "60562869"}, {"ref": "fuuuuuuuuu/notebook0de3b24106", "kernel_id": "60563698"}, {"ref": "soutaohuchi/notebook73a685408b", "kernel_id": "60562946"}, {"ref": "smiyoshi/notebooke9b25a365d", "kernel_id": "60568975"}, {"ref": "eetum1/notebook855c10707c", "kernel_id": "60568815"}, {"ref": "tateishi1007/notebook03641e7873", "kernel_id": "60563839"}, {"ref": "medo08/notebooka792bae937", "kernel_id": "60565121"}, {"ref": "ueta222/notebookae27907b6b", "kernel_id": "60564031"}, {"ref": "kiguchi82/notebook4192028797", "kernel_id": "60565251"}, {"ref": "festivalsakurai/notebookd2f7df9586", "kernel_id": "60700319"}, {"ref": "shumawakazuki/notebook1c03e70e3c", "kernel_id": "60564373"}, {"ref": "sakaiasato/notebook8ea81a26f5", "kernel_id": "60564051"}, {"ref": "toramarusan/notebookf81719b30b", "kernel_id": "60636423"}, {"ref": "koriyusuke/fork-of-notebooke9b25a365d", "kernel_id": "60756248"}, {"ref": "cocoro626/notebookabec83a341", "kernel_id": "60564717"}, {"ref": "or1618/notebook217fd9c009", "kernel_id": "60725362"}, {"ref": "takawakikenji/notebook7f63caab49", "kernel_id": "60565941"}, {"ref": "izumikudo/notebook0ef9780882", "kernel_id": "60567930"}, {"ref": "pirikara/notebook423d014788", "kernel_id": "60565899"}, {"ref": "taishiamano/notebooke97fd0f045", "kernel_id": "60573449"}, {"ref": "taishiamano/notebookc1a5deea42", "kernel_id": "60575795"}, {"ref": "kogayui/titanic", "kernel_id": "60565983"}, {"ref": "shibatayume/notebook7efb367abe", "kernel_id": "60634171"}, {"ref": "arisaonohara/notebookf7c7c8d9e4", "kernel_id": "60566973"}, {"ref": "masahiroibaragi/notebook3b60ee3976", "kernel_id": "60566184"}, {"ref": "hkarin/notebook93f071a530", "kernel_id": "60566829"}, {"ref": "hkarin/notebook255b75ff9c", "kernel_id": "60699024"}, {"ref": "jnmmsk162/notebook390389d690", "kernel_id": "60566539"}, {"ref": "ooshima/notebookb4cfa57aba", "kernel_id": "60726861"}, {"ref": "ehime1231/notebooka472eb7334", "kernel_id": "60567008"}, {"ref": "masakikanazawa/notebookefd1c884fa", "kernel_id": "60567478"}, {"ref": "sekimen/notebook8249527648", "kernel_id": "60567024"}, {"ref": "henohenomohejl/notebook0a8089657b", "kernel_id": "60568182"}, {"ref": "ryusei000001/notebook4b865d06a9-lec10-hatake", "kernel_id": "60573103"}, {"ref": "fjasuka/notebook870f6d2614", "kernel_id": "60567904"}, {"ref": "koga0719/notebook2640213704", "kernel_id": "60578642"}, {"ref": "koga0719/notebook1806573fb1", "kernel_id": "60714032"}, {"ref": "fukuchikaito/notebookb2cbf7841c", "kernel_id": "60628866"}, {"ref": "nagasakihinaru/notebookad30ca883e", "kernel_id": "60570256"}, {"ref": "katsurahyuga/notebookfe2428ebc6", "kernel_id": "60569405"}, {"ref": "shiou100/notebook734d1579b4", "kernel_id": "60755640"}, {"ref": "tatsunoshin/notebookc513242823", "kernel_id": "60571921"}, {"ref": "ag4024/notebooka607f8861e", "kernel_id": "60569610"}, {"ref": "vrtslfc23/notebook3905fdc150", "kernel_id": "60571290"}, {"ref": "yukiyuri0/notebooka598b83ec5", "kernel_id": "60570442"}, {"ref": "masayaokazaki/notebook0ef9780882", "kernel_id": "60723696"}, {"ref": "jkcty896/notebook85a24052c5", "kernel_id": "60571011"}, {"ref": "akdubuntu/kaggle-titanic-test", "kernel_id": "60575760"}, {"ref": "tanimurashogo/notebookb11db30f4f", "kernel_id": "60575925"}, {"ref": "guptaanand1/exercise-arithmetic-and-variables", "kernel_id": "60579410"}, {"ref": "yt0621/notebook67bbdeada4", "kernel_id": "60577234"}, {"ref": "a33187/notebook01d7ba2660", "kernel_id": "60578340"}, {"ref": "renzou0902/notebookfbda46f2be", "kernel_id": "60639525"}, {"ref": "kenteki/notebook1d9ffa111d", "kernel_id": "60580375"}, {"ref": "zh0v74/notebook05ae8342e2", "kernel_id": "60690473"}, {"ref": "hotspotstress/notebook728cf11184", "kernel_id": "60584054"}, {"ref": "hamamotokohta/notebook773485c4ba", "kernel_id": "60607203"}, {"ref": "ryokitokudai/data-science-10-assignment", "kernel_id": "60625759"}, {"ref": "ohnokousei/notebookb5c6082b6a", "kernel_id": "60625635"}, {"ref": "trqmvp/notebooktianruiqi2024", "kernel_id": "60634995"}, {"ref": "wyj209/notebookwyj209", "kernel_id": "60687031"}, {"ref": "nishiotaiyo/notebookb238edde5f", "kernel_id": "60633433"}, {"ref": "okadaippei/notebook141fbc0b8d", "kernel_id": "60638131"}, {"ref": "matsubarayuto/notebookddd870d6b9", "kernel_id": "60756718"}, {"ref": "momokadayo/notebook18b5772c44", "kernel_id": "60636363"}, {"ref": "lonpep/notebook-example", "kernel_id": "60639389"}, {"ref": "moa0710/notebookc1de2f9f45", "kernel_id": "60726030"}, {"ref": "onikubnd/notebooke9b25a365d", "kernel_id": "60639304"}, {"ref": "tajima12/notebooke9b25a365d", "kernel_id": "60646010"}, {"ref": "azyoshi/notebook-datascience", "kernel_id": "60649985"}, {"ref": "ozawashungo/notebookfe6d35fc81", "kernel_id": "60647808"}, {"ref": "koheiy13/notebook1e19659f71", "kernel_id": "60747938"}, {"ref": "aiumeo/notebook8c1c2ffbe8", "kernel_id": "60649549"}, {"ref": "yamaha4/notebooke9b25a365d", "kernel_id": "60657384"}, {"ref": "minamishuya/notebooke9b25a365d", "kernel_id": "60647897"}, {"ref": "mty3400/notebooke9b25a365d", "kernel_id": "60649801"}, {"ref": "matuka1008/notebookabaa12d936", "kernel_id": "60683975"}, {"ref": "urotanri/notebook3adf32bd9b", "kernel_id": "60666158"}, {"ref": "yuki6980/notebooka29dd74a2a", "kernel_id": "60660861"}, {"ref": "kk41021009/notebook6dd33c3928", "kernel_id": "60669177"}, {"ref": "shoio3c/notebook9f415a55c4", "kernel_id": "60671312"}, {"ref": "ikushma/notebooka8bbc91e45", "kernel_id": "60669208"}, {"ref": "ikushma/notebooke9b25a365d", "kernel_id": "60732753"}, {"ref": "zzzzccccc/notebookb0f8511a9e", "kernel_id": "60707226"}, {"ref": "chisatokamada/notebook92bc800610", "kernel_id": "60689230"}, {"ref": "manatoa/notebooke9b25a365d-1316ce", "kernel_id": "60678746"}, {"ref": "honmaguro/notebookaf09199f85", "kernel_id": "60683547"}, {"ref": "yusuketakayanagi/notebooke1c4cccdcf", "kernel_id": "60683591"}, {"ref": "khryske/notebooke9b25a365d", "kernel_id": "60687118"}, {"ref": "mizu123/notebookcf4b214768", "kernel_id": "60697190"}, {"ref": "mindvalleyeg/session-2", "kernel_id": "60727956"}, {"ref": "oguiso1108/notebook5ceec8619c", "kernel_id": "60690220"}, {"ref": "tk2research/notebook2934dcd7d4", "kernel_id": "60691705"}, {"ref": "mikumikunishiteyanyo/notebookdb25a90ac2", "kernel_id": "60750264"}, {"ref": "hn0412/notebook54e0cf64fe", "kernel_id": "60696670"}, {"ref": "katsudondon/notebookf44f8fa965", "kernel_id": "60696001"}, {"ref": "yamaguchiyuki/notebook53fc73d98e", "kernel_id": "60696837"}, {"ref": "xpssss7/notebookd72e947316", "kernel_id": "60701831"}, {"ref": "vortis/notebooke671208a26", "kernel_id": "60700303"}, {"ref": "hifzakazmi/notebook1cb5640676", "kernel_id": "60876352"}, {"ref": "kosukeokamoto/notebook9228fc7e29", "kernel_id": "60700722"}, {"ref": "mkonosuke2002/notebook2133e1a99c", "kernel_id": "60701566"}, {"ref": "toshiru/notebook5e2f17fb6d", "kernel_id": "60702250"}, {"ref": "plkpmn/notebook6c0d266331", "kernel_id": "60703496"}, {"ref": "kodaikinoshita/notebookd10c267a1d", "kernel_id": "60716900"}, {"ref": "kmn061/notebook3d249b4514", "kernel_id": "60707293"}, {"ref": "yasukawatakumi/notebook93e49a45ea", "kernel_id": "60705903"}, {"ref": "kawairyoji/notebooke9b25a365d", "kernel_id": "60705122"}, {"ref": "kotaonishi1/titanic-data", "kernel_id": "60758337"}, {"ref": "taniyayuki/ytaniya", "kernel_id": "60706884"}, {"ref": "tokumaeda/notebook69f52274d4", "kernel_id": "60707100"}, {"ref": "wokkapapiliq/notebookba55844822", "kernel_id": "60723882"}, {"ref": "nanakotojo/notebookf9a224fa95", "kernel_id": "60709243"}, {"ref": "pinonquo/notebook98acc881b3", "kernel_id": "60732556"}, {"ref": "daichance/notebook47bed30a57", "kernel_id": "60715028"}, {"ref": "kkkplus/notebookdda89e1430", "kernel_id": "60740771"}, {"ref": "huanchiachangstanley/notebook45bb9755bb", "kernel_id": "60715150"}, {"ref": "htisopawrpp/notebook346ae7eb6d", "kernel_id": "60714900"}, {"ref": "nabemotoasato/notebook57551f808b", "kernel_id": "60716333"}, {"ref": "chihayanijo/notebookf3c828b3e6", "kernel_id": "60735936"}, {"ref": "hasida/notebookc3272e2d59", "kernel_id": "60728775"}, {"ref": "sy1517/notebook6d97aa2d24", "kernel_id": "60727160"}, {"ref": "jhin4444jhin/notebookaea21b0cfb", "kernel_id": "60725422"}, {"ref": "tekumaru0223/notebookab13ce6ad5", "kernel_id": "60724637"}, {"ref": "momokamaruyama/notebookffe0997170", "kernel_id": "60725979"}, {"ref": "nakasukeabc/notebook159f3410fb", "kernel_id": "60738701"}, {"ref": "hommarui/notebook45ea4c9ef1", "kernel_id": "60726886"}, {"ref": "tksmkzt/titanic", "kernel_id": "60749577"}, {"ref": "uya10ars/0624titanic", "kernel_id": "60752871"}, {"ref": "yukirito/notebook6715ede62c", "kernel_id": "60757585"}, {"ref": "haiteku/notebook68f6ec8fa3", "kernel_id": "60728681"}, {"ref": "yanasay/notebooke9b25a365d", "kernel_id": "60732833"}, {"ref": "ayaneshimamura/notebook6a5e4f566e", "kernel_id": "60734542"}, {"ref": "shintaroshiokawa/notebooke9b25a365d", "kernel_id": "60740083"}, {"ref": "sc1815/notebook3d8e3a3121", "kernel_id": "60739082"}, {"ref": "my0815/notebook6ae27e752f", "kernel_id": "60752516"}, {"ref": "mememe00/notebook7d908808b0", "kernel_id": "60746385"}, {"ref": "matsukano/notebook08c993c2ef", "kernel_id": "60747284"}, {"ref": "torechi/notebook40d548bc2e", "kernel_id": "60749309"}, {"ref": "aiueo300/notebookf64c9aa745", "kernel_id": "60749143"}, {"ref": "mmaruirr/notebookdc7fd52551", "kernel_id": "60750928"}, {"ref": "catthanpeople/notebookaed7467410", "kernel_id": "60752785"}, {"ref": "nishioryosuke/notebookd0e887b0a5", "kernel_id": "60752400"}, {"ref": "souwatanabe/notebook06d37aad2e", "kernel_id": "60757219"}, {"ref": "izumi0616/notebook4884065e06", "kernel_id": "60755487"}, {"ref": "natsukiii/notebook6aa40fdc93", "kernel_id": "60759675"}, {"ref": "itsuki0290/notebook03b2422392", "kernel_id": "60756864"}, {"ref": "c612432065/notebook199a8b5f00", "kernel_id": "60757599"}, {"ref": "yawarakasensya/notebook2892f98f8f", "kernel_id": "60757466"}, {"ref": "rikutoyoshikawa/notebook10ae3e2d88", "kernel_id": "60757265"}, {"ref": "sakanairoha/notebook0ec7978aeb", "kernel_id": "60758524"}, {"ref": "ouukin/notebookccd76030cc", "kernel_id": "60759511"}, {"ref": "hatanoshota/notebook1246f4d51a", "kernel_id": "60758617"}, {"ref": "kasugatakumi/notebook639be33ce2", "kernel_id": "60758618"}, {"ref": "naoyanakayama/notebookb2f0eb1bc8", "kernel_id": "60759178"}, {"ref": "naichuuchou/notebook12ce0027f0", "kernel_id": "60759161"}, {"ref": "saikou0205/notebook047ec05f32", "kernel_id": "60761446"}, {"ref": "grozny04/notebook5753ca7e5e", "kernel_id": "60759779"}, {"ref": "tagawakosei/notebookd2f7fc731b", "kernel_id": "60761109"}, {"ref": "mikan52kaggle/notebook3bc5cbcaa5", "kernel_id": "60761037"}, {"ref": "ynn333/notebook218f3ea92f", "kernel_id": "60761250"}, {"ref": "moditmohanmittal/titanic-logistic-classification", "kernel_id": "60860493"}, {"ref": "michaelcole26/getting-started-with-titanic", "kernel_id": "60853191"}, {"ref": "fristors/notebook1be5a59f31", "kernel_id": "60890841"}, {"ref": "collynd/notebookdbb30a5a75", "kernel_id": "60978763"}, {"ref": "momimabegum/notebook31347c167c", "kernel_id": "60949151"}, {"ref": "tongtongl/titanic-pytorch", "kernel_id": "60976356"}, {"ref": "newkidontheblock/titanic-analysis-morning", "kernel_id": "61019580"}, {"ref": "newkidontheblock/titanic-2000-rank", "kernel_id": "61059034"}, {"ref": "aayushkubba/exercise", "kernel_id": "61678686"}, {"ref": "makalin/notebook1154096cc9", "kernel_id": "61461884"}, {"ref": "achuthanb/hyperparameter-tuning-training", "kernel_id": "61344233"}, {"ref": "achuthanb/logistic-regression-training", "kernel_id": "61476821"}, {"ref": "sstur86/titanic-challenge-my-solution", "kernel_id": "61707428"}, {"ref": "adedigbadeola/hng-titanic-stage-0-task", "kernel_id": "61068856"}, {"ref": "matheuscteixeira/random-forest-classifier-mct96-v1", "kernel_id": "61311789"}, {"ref": "matheuscteixeira/random-forest-classifier", "kernel_id": "61311532"}, {"ref": "stpeteishii/titanic-pca-multiplemodels", "kernel_id": "61335439"}, {"ref": "stpeteishii/titanic-lazy-predict", "kernel_id": "61059249"}, {"ref": "thammuio/titanic-a-guided-walkthrough", "kernel_id": "61596343"}, {"ref": "yutodennou/fork-of-tips-auto-model-generate-by-gemini-api", "kernel_id": "61298949"}, {"ref": "rubinr12/linear-model-and-neural-net-from-scratch", "kernel_id": "61846113"}, {"ref": "swhale/week2-titanic", "kernel_id": "61289887"}, {"ref": "abdullahkhan70/titanic-using-machine-learning-model", "kernel_id": "61934816"}, {"ref": "roycejamesblackbourn/fastai-lesson-5b-use-a-framework", "kernel_id": "61020242"}, {"ref": "roycejamesblackbourn/linear-model-and-neural-net-from-scratch", "kernel_id": "61019872"}, {"ref": "mayurgite/ml-models-using-only-numpy-pandas-from-scratch", "kernel_id": "61889734"}, {"ref": "takaoasaba/titanic-asaba", "kernel_id": "61470475"}, {"ref": "diegoasantillan/titanic-competition", "kernel_id": "61906997"}, {"ref": "givenbottle/titanic-practice", "kernel_id": "61462874"}, {"ref": "osmanshamso/getting-started-with-titanic-dataset", "kernel_id": "61238614"}, {"ref": "devsisingh058/notebooka6540c8e10", "kernel_id": "61342936"}, {"ref": "param302/mlp-session-8-model-pipeline-by-parampreet-singh", "kernel_id": "61297287"}, {"ref": "frankokoli/hng-stage-0-task", "kernel_id": "61222512"}, {"ref": "karunyaronith/titanic-dataset-prediction", "kernel_id": "61535364"}, {"ref": "ahmeterdemyenay/titanic-eda", "kernel_id": "61410167"}, {"ref": "elhaiswisa/titanic-ml-predection", "kernel_id": "61557429"}, {"ref": "deepeshmadane/notebook7c8ec7cd84", "kernel_id": "61287352"}, {"ref": "zeyadshahin/titanic-submission", "kernel_id": "61551002"}, {"ref": "davoncarvalho6286/feature-engineering-to-try-something-weird", "kernel_id": "61329474"}, {"ref": "kushprakhar/titanic", "kernel_id": "61473083"}, {"ref": "kaputisaru/python-kaggle-start-book-ch02-05", "kernel_id": "61831473"}, {"ref": "brandynolan/titantic-submission", "kernel_id": "61590196"}, {"ref": "razanalonazi/titanic-competition", "kernel_id": "61801503"}, {"ref": "naaaeun/titanic-python-240711", "kernel_id": "61937973"}, {"ref": "qnrnfn/notebookb75fbd1b24", "kernel_id": "61556732"}, {"ref": "sugurutsujioka/titanic-tutorial-4th", "kernel_id": "61296470"}, {"ref": "aykutsahin/c1-titanic-auto-ml", "kernel_id": "61197478"}, {"ref": "gmudit/titanic-survival-prediction-everything-u-need", "kernel_id": "61778378"}, {"ref": "vuducminh211/titanic-challenge-notebook", "kernel_id": "61822708"}, {"ref": "naveenkumars20isr031/catboost-uisng-titanicdataset", "kernel_id": "61396295"}, {"ref": "aaradhyabadal/titantic-automl", "kernel_id": "61818085"}, {"ref": "neelpatel31/titanic-eda", "kernel_id": "61433332"}, {"ref": "olexandravoichenko/end-to-end-titanic-classification", "kernel_id": "61472084"}, {"ref": "sriram1618/exercise-arithmetic-and-variables", "kernel_id": "61854023"}, {"ref": "asparmar14/getting-started-with-titanic", "kernel_id": "61891879"}, {"ref": "krishd123/decision-tree-classification", "kernel_id": "61831271"}, {"ref": "ethanwaters/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61749506"}, {"ref": "ethanwaters/fastai-lesson-5b-use-a-framework", "kernel_id": "61749582"}, {"ref": "trijeetbhandula/fastai-lesson-5b-use-a-framework", "kernel_id": "61801439"}, {"ref": "trijeetbhandula/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61801258"}, {"ref": "ahmedashraf4/titanic-preprocessing", "kernel_id": "61957960"}, {"ref": "shivangkainthola/titanic-survival-ml-methods", "kernel_id": "61714898"}, {"ref": "yernarakhmetbek/ml-lab-1", "kernel_id": "61573196"}, {"ref": "lucsxd/titanic-prediction", "kernel_id": "61308290"}, {"ref": "josephtharwat/keras-roccurve-votingclassifier", "kernel_id": "61724912"}, {"ref": "vidyavijay/titanic-prediction-using-logistic-regression", "kernel_id": "61575870"}, {"ref": "misonghua/fork-of-fastai-lesson-5-linear-model-and-neural-ne", "kernel_id": "61762656"}, {"ref": "misonghua/fastai-lesson-5b-use-a-framework", "kernel_id": "61762297"}, {"ref": "misonghua/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61761984"}, {"ref": "misonghua/fork-of-fastai-lesson-5b-use-a-framework", "kernel_id": "61763915"}, {"ref": "aezersx/titanic-using-logistic-regression", "kernel_id": "61448331"}, {"ref": "aditijain163/titanic-trial", "kernel_id": "61108325"}, {"ref": "andeeoberosler/alo-titanic-v01", "kernel_id": "61509823"}, {"ref": "andeeoberosler/alo-titanic-submission", "kernel_id": "61739802"}, {"ref": "jonetran/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61940362"}, {"ref": "jonetran/fastai-lesson-5b-use-a-framework", "kernel_id": "61940451"}, {"ref": "raniajaberi/exercise-arithmetic-and-variables", "kernel_id": "61140349"}, {"ref": "hectornez/titanic-explicaci-n-y-comentarios", "kernel_id": "61484310"}, {"ref": "mohitgupta12/titanic-disaster-survival-prediction", "kernel_id": "61202712"}, {"ref": "arishsaifi28/getting-start-with-titanic-dataset-by-haris", "kernel_id": "61783751"}, {"ref": "egegrtunca/notebook4bd906d600", "kernel_id": "61987765"}, {"ref": "hungkat/titanic-prediction-using-random-forest", "kernel_id": "61258352"}, {"ref": "hungkat/titanic-ml-project-decision-tree-random-forest", "kernel_id": "61197749"}, {"ref": "rickybayupamungkas/intro-program-exercise-arithmetic-and-variables", "kernel_id": "61814050"}, {"ref": "zakirbhuiyan/mb-titanic-v01", "kernel_id": "61858105"}, {"ref": "mukshitchawla/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61935584"}, {"ref": "mukshitchawla/fastai-lesson-5b-use-a-framework", "kernel_id": "61940642"}, {"ref": "chiragverma1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61935792"}, {"ref": "devendhakebtech2022/deep-learning", "kernel_id": "61938210"}, {"ref": "danuherath/titanic-survival-predict-binary-classification", "kernel_id": "61500486"}, {"ref": "abderrahimelmouden/titanic-solution-notebook", "kernel_id": "61844547"}, {"ref": "arkar1022/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61937176"}, {"ref": "arkar1022/fastai-lesson-5b-use-a-framework", "kernel_id": "61937279"}, {"ref": "marukiiroha/fastai-lesson-5b-use-a-framework", "kernel_id": "61936809"}, {"ref": "marukiiroha/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61936533"}, {"ref": "huskydawg/task1-fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61761739"}, {"ref": "huskydawg/task2-fastai-lesson-5b-use-a-framework", "kernel_id": "61762944"}, {"ref": "melissaroush/mr-titanic-eda-v01", "kernel_id": "61631652"}, {"ref": "melissaroush/mr-titanic-v01", "kernel_id": "61746258"}, {"ref": "abdulazizdusbabaev/titanic-random-forest", "kernel_id": "61473930"}, {"ref": "gatabhjsbaj/filter-based-feature-selection", "kernel_id": "61100813"}, {"ref": "nisha272004gmailcom/notebook5087071634", "kernel_id": "61215105"}, {"ref": "pranshuiitm/titanic", "kernel_id": "61314563"}, {"ref": "leandrenash/titanic-survival", "kernel_id": "61553006"}, {"ref": "matteod83/notebook-titanic", "kernel_id": "61491895"}, {"ref": "satyajeetrai/titanic-data-eda", "kernel_id": "61669171"}, {"ref": "satyajeetrai/titanicsurvivorscompetitionsubmission", "kernel_id": "61591857"}, {"ref": "faheem113141/titanic-survival-prediction", "kernel_id": "61858286"}, {"ref": "yahyavaleo/titanic", "kernel_id": "61797761"}, {"ref": "bensonlin0731/unsupervised-learning-for-titanic", "kernel_id": "61407647"}, {"ref": "clmentmorice/titanic-notebook", "kernel_id": "61711505"}, {"ref": "cedricdepiesse/firstnotebook-titanic", "kernel_id": "61684543"}, {"ref": "lqy231/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61763705"}, {"ref": "andrey6158/titanic-distribution-by-family-score-81-58", "kernel_id": "61832673"}, {"ref": "paradkardivya/titanic-ml-prediction-model", "kernel_id": "61892083"}, {"ref": "hcemozdemir/titanic-submission", "kernel_id": "61798426"}, {"ref": "mushfiqurrahman6087/titanic-randomforest-gridsearch-xgboost", "kernel_id": "61478050"}, {"ref": "albankiz/titanic-competition", "kernel_id": "61687636"}, {"ref": "shisotem/kagglebook-titanic-flow", "kernel_id": "61661227"}, {"ref": "yvsingh088/titanic-survival-prediction", "kernel_id": "61082414"}, {"ref": "kjkastning/titanic-survival-classifier", "kernel_id": "61861372"}, {"ref": "recluseturtle/jr-titanic-v01", "kernel_id": "61687002"}, {"ref": "wesleygilsenan/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61746483"}, {"ref": "wesleygilsenan/fastai-lesson-5b-use-a-framework", "kernel_id": "61746761"}, {"ref": "lachlanholmes/fastai-lesson-5b-use-a-framework", "kernel_id": "61974047"}, {"ref": "lachlanholmes/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61932220"}, {"ref": "hexonhartleyjimenez/week6-fastai-lesson-5-linear-model-neural-net", "kernel_id": "61747668"}, {"ref": "hexonhartleyjimenez/week6-fastai-lesson-5b-use-a-framework", "kernel_id": "61747724"}, {"ref": "garvitmalik2121/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61936488"}, {"ref": "katlynwhyte/fastai-lesson-5b-use-a-framework", "kernel_id": "61764792"}, {"ref": "katlynwhyte/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61764251"}, {"ref": "abdelrhmanmahmoud5/titanic-data-analysis", "kernel_id": "61542306"}, {"ref": "caelsalmond/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61808230"}, {"ref": "caelsalmond/fastai-lesson-5b-use-a-framework", "kernel_id": "61808602"}, {"ref": "shivaunb/fastai-lesson-5b-use-a-framework", "kernel_id": "61802431"}, {"ref": "shivaunb/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61799503"}, {"ref": "dogukankorkutt/titanic-eda", "kernel_id": "61967764"}, {"ref": "tiendatn/ml-prediction-titanic", "kernel_id": "61804596"}, {"ref": "jagadeesh219/notebookf32c965932", "kernel_id": "61777814"}, {"ref": "arijitdatta12/titanic-problem-statistics", "kernel_id": "61059787"}, {"ref": "toms0o/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61808371"}, {"ref": "toms0o/fastai-lesson-5b-use-a-framework", "kernel_id": "61808662"}, {"ref": "jinhimeno/my-notebook-himeno", "kernel_id": "61470614"}, {"ref": "monish38/eda-on-titanic-data-with-95-5-of-train-accuacy", "kernel_id": "61908414"}, {"ref": "zgeakr/fork-of-titanickaggle", "kernel_id": "61036925"}, {"ref": "mrsharul/predictive-modeling-using-titanic-dataset", "kernel_id": "61825504"}, {"ref": "arunangshukarmakar/titanic", "kernel_id": "61464899"}, {"ref": "bbryantt1/bb-titanic-v02", "kernel_id": "61375322"}, {"ref": "bbryantt1/bb-titanic-competition", "kernel_id": "61752441"}, {"ref": "shubhanshijaiswal/notebook47d86fb449", "kernel_id": "61515726"}, {"ref": "olivermcgrath/titanic-1", "kernel_id": "61482048"}, {"ref": "chagallamusinde/ml-from-disaster-logistic-regression", "kernel_id": "61883377"}, {"ref": "hafizkhanil/titanic-competition", "kernel_id": "61215805"}, {"ref": "alisj3/fastai-lesson-6a2-random-forests", "kernel_id": "61957999"}, {"ref": "milind25/the-titanic", "kernel_id": "61828943"}, {"ref": "chiehyuchenjames/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61938420"}, {"ref": "chiehyuchenjames/fastai-lesson-5b-use-a-framework", "kernel_id": "61940082"}, {"ref": "kwokchunyik/fastai-lesson-5b-use-a-framework", "kernel_id": "61832735"}, {"ref": "kwokchunyik/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61832588"}, {"ref": "danishyousuf19/titanic-additional-wiki-data-survival-prediction", "kernel_id": "61144097"}, {"ref": "wilsonvall/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61757754"}, {"ref": "wilsonvall/fastai-lesson-5b-use-a-framework", "kernel_id": "61764788"}, {"ref": "guomike/fastai-lesson-5b-use-a-framework", "kernel_id": "61934314"}, {"ref": "guomike/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61934087"}, {"ref": "linhhoacao/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61765554"}, {"ref": "linhhoacao/fastai-lesson-5b-use-a-framework", "kernel_id": "61767638"}, {"ref": "battlescythe300/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61763483"}, {"ref": "battlescythe300/fastai-lesson-5b-use-a-framework", "kernel_id": "61764690"}, {"ref": "asthagupta622/gridsearchcv", "kernel_id": "61118831"}, {"ref": "asthagupta622/titanic-final-analysis", "kernel_id": "61054963"}, {"ref": "venkateshblks/titanic", "kernel_id": "61997645"}, {"ref": "suvroo/automl-and-autoeda-using-h20-tpot-and-more", "kernel_id": "61835483"}, {"ref": "suvroo/wrapper-feature-selection-and-pca", "kernel_id": "61240173"}, {"ref": "heheadi/my-first-submission-for-titanic", "kernel_id": "61476387"}, {"ref": "seanxuanhaohe/titanic-competition", "kernel_id": "61638773"}, {"ref": "albertadiwangsyah/titanic-survival-prediction", "kernel_id": "61597355"}, {"ref": "andrewjung374/notebook660ed49d57", "kernel_id": "61512463"}, {"ref": "olehdiakov/titanic-competition-model-prediction-of-disaster", "kernel_id": "61048402"}, {"ref": "aniketsinghyadav/notebook2ab03a7473", "kernel_id": "61037148"}, {"ref": "hakimlatif/getting-started-with-titanic", "kernel_id": "61922345"}, {"ref": "shoryaagarwal20/titanic-machine-learning-from-disaster", "kernel_id": "61670303"}, {"ref": "ivanergiev01/titanic-passengers-graphic-eda", "kernel_id": "61439638"}, {"ref": "zhouhanwei/fastai-lesson-5b-use-a-framework", "kernel_id": "61760074"}, {"ref": "zhouhanwei/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61757924"}, {"ref": "waterdrinker/fastai-lesson-5b-use-a-framework", "kernel_id": "61706027"}, {"ref": "waterdrinker/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61706098"}, {"ref": "yufeizhao04/cp3407-task6-test-data", "kernel_id": "61758871"}, {"ref": "yufeizhao04/fastai-lesson-5b-use-a-framework", "kernel_id": "61712235"}, {"ref": "yufeizhao04/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61712147"}, {"ref": "talithariddiford/wk6prac-lesson-5-linear-model-and-neural-net", "kernel_id": "61749161"}, {"ref": "talithariddiford/fastai-lesson-5b-use-a-framework", "kernel_id": "61752530"}, {"ref": "erenkonta/titanik-hayatta-kalanlar", "kernel_id": "61125860"}, {"ref": "coreygrainger/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61758783"}, {"ref": "coreygrainger/fastai-lesson-5b-use-a-framework", "kernel_id": "61762079"}, {"ref": "jasonman14/fastai-lesson-6a-random-forests", "kernel_id": "61774252"}, {"ref": "jasonman14/fastai-lesson-6a-random-forests-5e1a30", "kernel_id": "61775011"}, {"ref": "jasonman14/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61661416"}, {"ref": "jasonman14/fastai-lesson-5b-use-a-framework", "kernel_id": "61662216"}, {"ref": "daynemorris/fastai-lesson-5b-use-a-framework", "kernel_id": "61801434"}, {"ref": "daynemorris/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61801296"}, {"ref": "jkaiteo/cp3501-prac-6-task1", "kernel_id": "61299335"}, {"ref": "jkaiteo/cp3501-prac-6-task2", "kernel_id": "61299019"}, {"ref": "vihoa02/fastai-lesson-5b-use-a-framework", "kernel_id": "61766963"}, {"ref": "vihoa02/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61764890"}, {"ref": "ralphishere/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61764752"}, {"ref": "ralphishere/fastai-lesson-5b-use-a-framework", "kernel_id": "61767227"}, {"ref": "zhoujiejcu/prac6-part3-step3", "kernel_id": "61766994"}, {"ref": "zhoujiejcu/prac6-part1-2", "kernel_id": "61766951"}, {"ref": "zhoujiejcu/why-you-should-use-a-framework", "kernel_id": "61764112"}, {"ref": "zhoujiejcu/linear-model-and-neural-net-from-scratch", "kernel_id": "61759871"}, {"ref": "tin555/fastai-lesson-5b-use-a-framework", "kernel_id": "61939305"}, {"ref": "tin555/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61938901"}, {"ref": "dianabukeikhanova/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61939304"}, {"ref": "dianabukeikhanova/fastai-lesson-5b-use-a-framework", "kernel_id": "61940713"}, {"ref": "tharhtetdennis/fork-of-fastai-lesson-5-linear-model-and-neural-ne", "kernel_id": "61939113"}, {"ref": "tharhtetdennis/fastai-lesson-5b-use-a-framework", "kernel_id": "61937978"}, {"ref": "tharhtetdennis/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61933010"}, {"ref": "nawmaythuhan/fastai-lesson-5b-use-a-framework", "kernel_id": "61943735"}, {"ref": "nawmaythuhan/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61762925"}, {"ref": "caoshaungli/fastai-lesson-5b-use-a-framework", "kernel_id": "61758579"}, {"ref": "caoshaungli/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61758126"}, {"ref": "diyuyang0929/linear-model-and-neural-net-from-scratch-diyuyang", "kernel_id": "61530170"}, {"ref": "diyuyang0929/fastai-lesson-5-linear-model-and-neural-diyuyang", "kernel_id": "61939280"}, {"ref": "diyuyang0929/fastai-lesson-5b-use-a-framework-diyuyang", "kernel_id": "61940038"}, {"ref": "baolinhvan/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61758031"}, {"ref": "baolinhvan/fastai-lesson-5b-use-a-framework", "kernel_id": "61758666"}, {"ref": "baolinhvan/t3a-of-fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61759528"}, {"ref": "baolinhvan/t3b-of-fastai-lesson-5-linear-model-and-ne", "kernel_id": "61760116"}, {"ref": "baolinhvan/fork-of-t3a-of-fastai-lesson-5-linear-model-and-ne", "kernel_id": "61760558"}, {"ref": "baolinhvan/fork-of-fastai-lesson-5-linear-model-and-neural-ne", "kernel_id": "61761092"}, {"ref": "baolinhvan/fork-of-t3b-of-fastai-lesson-5-linear-model-and-ne", "kernel_id": "61761131"}, {"ref": "baolinhvan/fork-of-fastai-lesson-5b-use-a-framework", "kernel_id": "61761696"}, {"ref": "baolinhvan/fork-of-fork-of-fastai-lesson-5b-use-a-framework", "kernel_id": "61763961"}, {"ref": "baolinhvan/t331-fastai-lesson-5b-use-a-fram-5e5c02", "kernel_id": "61764595"}, {"ref": "baolinhvan/fork-of-fastai-lesson-5b-use-a-framework-7ce574", "kernel_id": "61810462"}, {"ref": "baolinhvan/fork-of-fork-of-fork-of-fastai-lesson-5b-use-a-fra", "kernel_id": "61810557"}, {"ref": "tuandn97/fastai-lesson-5b-use-a-framework", "kernel_id": "61764271"}, {"ref": "tuandn97/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61761624"}, {"ref": "christianmadria/why-you-should-use-a-framework", "kernel_id": "61765070"}, {"ref": "christianmadria/linear-model-and-neural-net-from-scratch", "kernel_id": "61764208"}, {"ref": "jasonelmerborisman/fastai-lesson-5b-use-a-framework", "kernel_id": "61764889"}, {"ref": "jasonelmerborisman/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61757917"}, {"ref": "kuangziye/prac-6-task-2", "kernel_id": "61939819"}, {"ref": "kuangziye/prac-6-task-3", "kernel_id": "61940207"}, {"ref": "kuangziye/prac6-task3-1", "kernel_id": "61940634"}, {"ref": "kuangziye/prac6-tas3-2", "kernel_id": "61941990"}, {"ref": "kuangziye/prac6-task331", "kernel_id": "61943521"}, {"ref": "kuangziye/prac-6-task-1", "kernel_id": "61938911"}, {"ref": "patricksssstar/fastai-lesson-5b-use-a-framework", "kernel_id": "61938783"}, {"ref": "patricksssstar/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61938129"}, {"ref": "nandinibatra01/titanic-problem", "kernel_id": "61858750"}, {"ref": "daviduy/fastai-lesson-5b-use-a-framework", "kernel_id": "61806556"}, {"ref": "daviduy/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61806378"}, {"ref": "prashasstdongre/titanic-survival-of-the-women", "kernel_id": "61214069"}, {"ref": "scottfrohn/titanic-prediction-randomforest-caret-in-r", "kernel_id": "61142742"}, {"ref": "aubienethompson/fastai-lesson-5b-use-a-framework", "kernel_id": "61929539"}, {"ref": "aubienethompson/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61919498"}, {"ref": "aakashvekariya/titani-disaster-prediction-of-survived", "kernel_id": "61588262"}, {"ref": "faizkhan7/titanic-eda-and-advanced-models", "kernel_id": "61853874"}, {"ref": "mahmad777/titanic-tutorial-knn", "kernel_id": "61413830"}, {"ref": "nangkaungshankham/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61928631"}, {"ref": "nangkaungshankham/fastai-lesson-5b-use-a-framework", "kernel_id": "61931412"}, {"ref": "zhonghuayufrank/linear-model-and-neural-net-from-scratch", "kernel_id": "61938989"}, {"ref": "jiehanli/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61939264"}, {"ref": "jiehanli/fastai-lesson-5b-use-a-framework", "kernel_id": "61940029"}, {"ref": "albertjamesrequilme/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61929252"}, {"ref": "albertjamesrequilme/fastai-lesson-5b-use-a-framework", "kernel_id": "61934749"}, {"ref": "zhonghao666/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61942043"}, {"ref": "zhonghao666/fastai-lesson-5b-use-a-framework", "kernel_id": "61942044"}, {"ref": "jiaxuanliu33/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61938030"}, {"ref": "jiaxuanliu33/fastai-lesson-5b-use-a-framework", "kernel_id": "61938513"}, {"ref": "andrejonathan/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61758983"}, {"ref": "andrejonathan/fastai-lesson-5b-use-a-framework", "kernel_id": "61939038"}, {"ref": "lzpxenon/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61940230"}, {"ref": "lzpxenon/fastai-lesson-5b-use-a-framework", "kernel_id": "61940317"}, {"ref": "jaskiratbatth/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61935577"}, {"ref": "harshdeepkaur08/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61935657"}, {"ref": "harshdeepkaur08/fastai-lesson-5b-use-a-framework", "kernel_id": "61940476"}, {"ref": "amyzhongyq/linear-model-and-neural-net-from-scratch", "kernel_id": "61323994"}, {"ref": "amyzhongyq/fastai-lesson-5b-use-a-framework", "kernel_id": "61324006"}, {"ref": "omeyehillaryo/fastai-lesson-5b-use-a-framework", "kernel_id": "61707149"}, {"ref": "omeyehillaryo/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61685960"}, {"ref": "jiemolv/fastai-lesson-5-linear-model-and-neural-net-zhangy", "kernel_id": "61938984"}, {"ref": "jiemolv/fastai-lesson-5b-use-a-framework-zhangyiwen", "kernel_id": "61940057"}, {"ref": "kyawzawwlinnjcu/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61927726"}, {"ref": "kyawzawwlinnjcu/fastai-lesson-5b-use-a-framework", "kernel_id": "61927784"}, {"ref": "nyanlinhtut/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61925884"}, {"ref": "nyanlinhtut/fastai-lesson-5b-use-a-framework", "kernel_id": "61928689"}, {"ref": "zlayuz/let-s-titanic-eda", "kernel_id": "61283543"}, {"ref": "e210asthatayade/ybisubmission", "kernel_id": "61676221"}, {"ref": "gauravmohansakhare/getting-started-with-titanic", "kernel_id": "61710289"}, {"ref": "umairhayat/titanic-disaster", "kernel_id": "61892761"}, {"ref": "charlie130/decisiontree-from-scratch", "kernel_id": "61828138"}, {"ref": "danylokuznietsov/titanic-submission", "kernel_id": "61494084"}, {"ref": "oliveiramenezes40/titaniccm", "kernel_id": "61851896"}, {"ref": "aakashvishnuvarth/titanic", "kernel_id": "61974628"}, {"ref": "sunnyshe/notebook950c1e051b", "kernel_id": "61496535"}, {"ref": "abhisheksahucsa504/notebook9c31fb3586", "kernel_id": "61301086"}, {"ref": "muhammadnadeem0077/notebook31afbdb8b6", "kernel_id": "61563737"}, {"ref": "andrasnandorkis/titanic-survival-prediction", "kernel_id": "61762431"}, {"ref": "kenanavar/titanic-kaggle", "kernel_id": "61035384"}, {"ref": "martincam/mc-getting-started-with-titanic", "kernel_id": "61835405"}, {"ref": "abhishek0032/titanic-survival-prediction-feature-engineering", "kernel_id": "61556705"}, {"ref": "esradenizli/titanic-kaggle", "kernel_id": "61141773"}, {"ref": "muhammedmansurkavak/started-with-titanic", "kernel_id": "61223235"}, {"ref": "deamariaroys/task3-fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "61802735"}, {"ref": "deamariaroys/fastai-lesson-5b-use-a-framework", "kernel_id": "61806324"}, {"ref": "annazwicky/titanic-competition-predictions", "kernel_id": "61137138"}, {"ref": "eyybensartopal/my-titanic-compitation-notebook", "kernel_id": "61777063"}, {"ref": "jaster76/notebooke24e1bf46a", "kernel_id": "61592205"}, {"ref": "vedantvichare/notebookd062ff5a16", "kernel_id": "61938622"}, {"ref": "johandersonmogollon/scikit-titanic", "kernel_id": "61764949"}, {"ref": "gaku0502/notebookd4452a8b12", "kernel_id": "61019371"}, {"ref": "raultld/week2-py-titanic-tld", "kernel_id": "61689588"}, {"ref": "hamchicchi/titanic-prediction-try01", "kernel_id": "61292461"}, {"ref": "kivnsh/kaggle-titanic", "kernel_id": "61230916"}, {"ref": "yakunhu/fork-of-getting-started-w-titanic-xgboost", "kernel_id": "61794012"}, {"ref": "mitul1999/titanicsurvivorscompetitionsubmission", "kernel_id": "61977607"}, {"ref": "zeeshanahmad124586/first-eda-journey-titanic-dataset", "kernel_id": "61097905"}, {"ref": "mayureshchourikar/titanic-1-accuracy-79-13-suggestions-are-welcome", "kernel_id": "61016207"}, {"ref": "sandiklitugce/tugcesandikli-titanic-eda", "kernel_id": "61314419"}, {"ref": "mioharada/harada-titanic", "kernel_id": "61109164"}, {"ref": "elisebrandon/brandon-titanic", "kernel_id": "61232864"}, {"ref": "fadibot/assignment-3", "kernel_id": "61993328"}, {"ref": "antonygathecha/titanic-survival-prediction-tg", "kernel_id": "61113573"}, {"ref": "rishikam23/getting-started-with-titanic", "kernel_id": "61130403"}, {"ref": "galbay/titanic-kaggle", "kernel_id": "61037842"}, {"ref": "imansafdar/titanic-classification-using-scikit-learn", "kernel_id": "61426476"}, {"ref": "isono5/titanic", "kernel_id": "61469988"}, {"ref": "yosuleo/testin-kaggle-with-titanic-tutorial", "kernel_id": "61219584"}, {"ref": "yosuleo/testing-a-copy-of-titanic-survival-predictor", "kernel_id": "61223275"}, {"ref": "gulsengumus/ders9-titanic", "kernel_id": "61705759"}, {"ref": "dataanalyst001/titanic-competition-notebook", "kernel_id": "61289959"}, {"ref": "santoshskcp/getting-started-with-titanic", "kernel_id": "61765282"}, {"ref": "abuzararah/exercise-arithmetic-and-variables", "kernel_id": "61295549"}, {"ref": "stkarki/sk-titanic-v01", "kernel_id": "61598261"}, {"ref": "ditiingh/getting-started-with-titanic", "kernel_id": "61588761"}, {"ref": "dannynguyenduong/titanic-predictions-by-danny", "kernel_id": "61490126"}, {"ref": "nnannakaluokoro/nko-titanic-v01", "kernel_id": "61707008"}, {"ref": "rishabhsingh18/titanic-prediction-submission", "kernel_id": "61416202"}, {"ref": "shinokazu/titanic-0704", "kernel_id": "61528853"}, {"ref": "junggukseo/titanic", "kernel_id": "61513758"}, {"ref": "kanakonakamura/titanic-tutorial-nkmr", "kernel_id": "61469231"}, {"ref": "yuriyoshii/notebook27f977e276", "kernel_id": "61470489"}, {"ref": "scskkasuga/notebooke3246b13d0", "kernel_id": "61470508"}, {"ref": "sakumakeisuke/notebook-202407", "kernel_id": "61470519"}, {"ref": "furkannzdl/furkannzdl", "kernel_id": "61560431"}, {"ref": "arungadila/notebook0a9f1b7798", "kernel_id": "61574576"}, {"ref": "shaurya0609/titanic-model-shaurya", "kernel_id": "61671740"}, {"ref": "smailuuz/titanic-pred-linear-and-rfc", "kernel_id": "61731234"}, {"ref": "nickalden/titanic-predictor", "kernel_id": "61806399"}, {"ref": "eliasnb/notebookdb7d4032a1", "kernel_id": "61915127"}, {"ref": "cawleeb/jackimflying", "kernel_id": "61785815"}, {"ref": "ginading/titanic-starter", "kernel_id": "61869758"}, {"ref": "izakbunda/titanic-project-1", "kernel_id": "61859151"}, {"ref": "itswaleed/titanic-survival-prediction-modeling", "kernel_id": "61939269"}, {"ref": "priyanknitk/titanic-solution", "kernel_id": "62005320"}, {"ref": "emphymachine/lx-semicon-1-pandas-101", "kernel_id": "62521301"}, {"ref": "prashant1/final1", "kernel_id": "62760486"}, {"ref": "vbmokin/50-tips-data-science-tabular-data-beginner-v2", "kernel_id": "62675382"}, {"ref": "anonymous00/tabledata-eda1", "kernel_id": "62763391"}, {"ref": "sanketkumarsingh/notebook1e0dda68dd", "kernel_id": "62893770"}, {"ref": "coconocokun/cs-research-15-16-practice", "kernel_id": "62868389"}, {"ref": "coconocokun/cs-research-homework-8", "kernel_id": "62891399"}, {"ref": "wajahat1064/visual-and-detailed-eda-on-titanic-dataset", "kernel_id": "62977612"}, {"ref": "swhale/week3-feature-engineering", "kernel_id": "62342572"}, {"ref": "aniedietuk/first-code", "kernel_id": "62276642"}, {"ref": "yash161101/topic-1-object-oriented-programming", "kernel_id": "62674286"}, {"ref": "masahiromatsuo/notebook-titanic-lgb-ens", "kernel_id": "62309054"}, {"ref": "chinvoon/titanic", "kernel_id": "62436668"}, {"ref": "roycejamesblackbourn/fastai-lesson-6a-random-forests", "kernel_id": "62677644"}, {"ref": "drmurataltun/titanic-gorev", "kernel_id": "62444922"}, {"ref": "emhaihsan/titanic-logistic-regression", "kernel_id": "62020121"}, {"ref": "sivas1292/titanic-survival-prediction", "kernel_id": "62267033"}, {"ref": "felipeduarteflorez/titanic-ml", "kernel_id": "62421497"}, {"ref": "keerthana2002/prac7-task1-fastai-lesson-6a-random-forests", "kernel_id": "62468746"}, {"ref": "warrenball/titanic-ml-contest", "kernel_id": "62708851"}, {"ref": "valentinzastrozhny/titanic-rus", "kernel_id": "62048301"}, {"ref": "kuanyuarchen/titanic-example", "kernel_id": "62397034"}, {"ref": "teegalaajayreddy/titanic-draft", "kernel_id": "62343211"}, {"ref": "nurulsakinah/titanic-eda-logistic-regression", "kernel_id": "62038429"}, {"ref": "ryanwjanuardi/titanic-logistic-regression-random-forest", "kernel_id": "62972661"}, {"ref": "param302/mlp-session-14-by-parampreet-singh", "kernel_id": "62698531"}, {"ref": "param302/mlp-session-12-by-parampreet-singh", "kernel_id": "62261453"}, {"ref": "param302/mlp-session-15-by-parampreet-singh", "kernel_id": "62966100"}, {"ref": "yashimanaoki/jri-ml-training", "kernel_id": "62644056"}, {"ref": "ubaidabbas/titanic-survival-prediction", "kernel_id": "62299939"}, {"ref": "tutenstein/78-accuracy-using-random-forests-with-eda", "kernel_id": "62872382"}, {"ref": "rahmaezzat66/titanic-classification", "kernel_id": "62720210"}, {"ref": "omarelsayed1/can-you-beat-the-odds-predicting-titanic-survival", "kernel_id": "62696673"}, {"ref": "yunusemreduran/auto-ml-titanic-2", "kernel_id": "62644121"}, {"ref": "puneetgani/titanic-dataset", "kernel_id": "62701803"}, {"ref": "sunyyyy07/eda-titanic-dataset", "kernel_id": "62833233"}, {"ref": "ernanhughes/titanic-machine-learning-from-disaster", "kernel_id": "62579340"}, {"ref": "amberhogarth/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62182150"}, {"ref": "amberhogarth/fastai-lesson-5b-use-a-framework", "kernel_id": "62182176"}, {"ref": "mohammadnouralawad/titanic-survivor-prediction", "kernel_id": "62447350"}, {"ref": "kirubasornamoorthy/fastai-lesson-5b-use-a-framework", "kernel_id": "62119048"}, {"ref": "kirubasornamoorthy/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62118858"}, {"ref": "kirubasornamoorthy/fastai-lesson-6a-random-forests", "kernel_id": "62517030"}, {"ref": "kershrita/iti-task-titanic", "kernel_id": "62704360"}, {"ref": "adhamamr1/titanic-eda-feature-engineering-models-ensemble", "kernel_id": "62409480"}, {"ref": "mahmoudmelshaer/titanic", "kernel_id": "62571280"}, {"ref": "joonohpark/sesac0712titanic", "kernel_id": "62003543"}, {"ref": "tamirgading/titanic-learn", "kernel_id": "62671586"}, {"ref": "ai21ambarmestry/titanic-data-analysis", "kernel_id": "62794839"}, {"ref": "aienthusist/ex1-handling-missing-data", "kernel_id": "62352322"}, {"ref": "mekhaelsafwat/titanic-survival-prediction", "kernel_id": "62168655"}, {"ref": "saritha123/titanic-dataset-analysis", "kernel_id": "62937505"}, {"ref": "andreygulincodim/titanik-is-sinkin", "kernel_id": "62692258"}, {"ref": "sarthakkuwar/titanic-submission", "kernel_id": "62523005"}, {"ref": "alexzano/titanic-disaster", "kernel_id": "62038650"}, {"ref": "mohamedahamedabdrabo/iti-task-titanic", "kernel_id": "62757593"}, {"ref": "fertmeneses/titanic-kaggle-full-analysis", "kernel_id": "62419651"}, {"ref": "lutheeshgoparapu/automl-and-autoeda-using-h20-tpot-and-more", "kernel_id": "62792144"}, {"ref": "syednazmussakib/xgboost-with-gridsearchcv", "kernel_id": "62169421"}, {"ref": "yaafiwasesa/titanic-dataset-analysis-model-prediction", "kernel_id": "62746057"}, {"ref": "anthonybokor/fastai-lesson-6a-random-forests", "kernel_id": "62507639"}, {"ref": "anthonybokor/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62125665"}, {"ref": "anthonybokor/fastai-lesson-5b-use-a-framework", "kernel_id": "62126716"}, {"ref": "anthonybokor/fastai-lesson-5b-use-a-framework-task3", "kernel_id": "62127182"}, {"ref": "ethanwaters/spaceship-titanic-fastai-lesson-6a-random-forests", "kernel_id": "62172553"}, {"ref": "hanaelfar/titanic", "kernel_id": "62830024"}, {"ref": "trijeetbhandula/fastai-lesson-6a-random-forests", "kernel_id": "62252894"}, {"ref": "trijeetbhandula/fastai-lesson-6b-random-forests", "kernel_id": "62518664"}, {"ref": "beyzanursarkaya/titanic-submission", "kernel_id": "62444920"}, {"ref": "beyzanursarkaya/auto-ml-titanic", "kernel_id": "62643809"}, {"ref": "misonghua/fastai-lesson-6a-random-forests", "kernel_id": "62508167"}, {"ref": "misonghua/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62508303"}, {"ref": "tejasvisjain1407/titanic-prediction-rf", "kernel_id": "62410861"}, {"ref": "jedrzejgrabala/honest-second-try", "kernel_id": "62599200"}, {"ref": "jedrzejgrabala/titanic-update5", "kernel_id": "62603147"}, {"ref": "evelynartoria/titanic-dataset-with-mlp-pytorch", "kernel_id": "62096198"}, {"ref": "aleyhere/detailed-eda-to-prediction", "kernel_id": "62003027"}, {"ref": "ciaovega/titanic", "kernel_id": "62605772"}, {"ref": "oziboy/titanic1-xgb-0-81-submission-accuracy-0-78", "kernel_id": "62670956"}, {"ref": "marianataqi/titanic-rf-gridsearchcv", "kernel_id": "62406834"}, {"ref": "mergerin/feature-engineering-find-outliers", "kernel_id": "62097033"}, {"ref": "sakshirautela/titanicdataanalysis", "kernel_id": "62576108"}, {"ref": "shoaibmuhammad123/titanic-machine-learning-prediction", "kernel_id": "62933189"}, {"ref": "tasneemyaser/taitanic-with-randomforest", "kernel_id": "62356926"}, {"ref": "devilbornfire/titanic-tutorial", "kernel_id": "62443580"}, {"ref": "khaledashrafm3wad/titanic-data-science-solutions", "kernel_id": "62764371"}, {"ref": "erdoanpeker/ml-and-dl-with-titanic-dataset", "kernel_id": "62150941"}, {"ref": "mukshitchawla/fastai-lesson-6a-random-forests", "kernel_id": "62382705"}, {"ref": "pudolive/prac7-task2", "kernel_id": "62509285"}, {"ref": "pudolive/prac7-task1", "kernel_id": "62508922"}, {"ref": "pudolive/prac6-part1", "kernel_id": "62122004"}, {"ref": "pudolive/prac6-part2", "kernel_id": "62122659"}, {"ref": "chiragverma1/fastai-lesson-6b-spaceship-titanic", "kernel_id": "62386847"}, {"ref": "chiragverma1/fastai-lesson-6a-random-forests", "kernel_id": "62383294"}, {"ref": "chiragverma1/fastai-lesson-5b-use-a-framework", "kernel_id": "62382393"}, {"ref": "murtadhanajim/titanic-survival-random-forests-80-accuracy", "kernel_id": "62218867"}, {"ref": "minadalilish/titanic", "kernel_id": "62399523"}, {"ref": "adarshrajmaurya/predict-titanic-survival", "kernel_id": "62579066"}, {"ref": "hebamohamed1998/python-for-data27-linear-regression", "kernel_id": "62676202"}, {"ref": "ahmedislam0/titanic-survival-prediction-achieving-acc-90", "kernel_id": "62903024"}, {"ref": "manarm7md/titanic-machine-learning-from-disaster", "kernel_id": "62621094"}, {"ref": "omario1/titanic-survival-predictions", "kernel_id": "62060161"}, {"ref": "praiserudairo/fastai-lesson-6a-random-forests", "kernel_id": "62385520"}, {"ref": "mariamali1/titanic", "kernel_id": "62444408"}, {"ref": "abderrahimelmouden/titanic-compet-submission", "kernel_id": "62296252"}, {"ref": "zainebjamal/randomforest-on-tatitanic-dataset", "kernel_id": "62283001"}, {"ref": "vkavyasri/titanic-dataset", "kernel_id": "62026978"}, {"ref": "begumarici/titanic-model-comparison-and-tuning", "kernel_id": "62604467"}, {"ref": "zoha03/titanic-survivals", "kernel_id": "62768441"}, {"ref": "harshakarimikonda/notebookb873deac91", "kernel_id": "62745097"}, {"ref": "hasanriaz10/titanic-data", "kernel_id": "62045341"}, {"ref": "abdulbasit23415/titanic-prediction", "kernel_id": "62410080"}, {"ref": "waadragab/gradientboostingclassifier-on-titanic-dataset", "kernel_id": "62356970"}, {"ref": "elifcanli/elif-canli-hw-titanik-1", "kernel_id": "62270969"}, {"ref": "sirnino/titanic-randomforest", "kernel_id": "62644443"}, {"ref": "arkar1022/fastai-lesson-6a-random-forests", "kernel_id": "62385388"}, {"ref": "arkar1022/fastai-lesson-6a-random-forests-task-2", "kernel_id": "62385859"}, {"ref": "estellewwww/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62385808"}, {"ref": "estellewwww/fastai-lesson-6a-random-forests", "kernel_id": "62385020"}, {"ref": "estellewwww/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62080427"}, {"ref": "estellewwww/fastai-lesson-5b-use-a-framework", "kernel_id": "62082819"}, {"ref": "estellewwww/fastai-lesson-5b-use-a-framework-793f73", "kernel_id": "62090451"}, {"ref": "estellewwww/fastai-lesson-5-linear-model-and-neural-net-ca200a", "kernel_id": "62088094"}, {"ref": "marukiiroha/fastai-lesson-6a-random-forests", "kernel_id": "62385260"}, {"ref": "marukiiroha/fastai-lesson-6a-random-forests-bae35f", "kernel_id": "62385389"}, {"ref": "huskydawg/task1-fastai-lesson-6a-random-forests", "kernel_id": "62199081"}, {"ref": "huskydawg/task2-fastai-lesson-6a-random-forests", "kernel_id": "62200036"}, {"ref": "fongsiuman/fastai-lesson-5b-use-a-framework", "kernel_id": "62348212"}, {"ref": "fongsiuman/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62347847"}, {"ref": "fongsiuman/how-random-forests-really-work", "kernel_id": "62383584"}, {"ref": "fongsiuman/fastai-lesson-6a-random-forests-task2", "kernel_id": "62382592"}, {"ref": "laibazubairellahi/workshop-day-1-titanic-dataset", "kernel_id": "62699719"}, {"ref": "shahedhisham/titanic-notebook", "kernel_id": "62707713"}, {"ref": "bharath1515/titanic-ml-models", "kernel_id": "62067234"}, {"ref": "hudamawood/titanic-survival-prediction-with-machine-le", "kernel_id": "62723684"}, {"ref": "asmaaesmatkassem/titanic-random-forest", "kernel_id": "62183864"}, {"ref": "jinsoolve/my-titanic-notebook", "kernel_id": "62320218"}, {"ref": "habibaaymanelsaid/titanic-eda-feature-engineering-models-ensemble", "kernel_id": "62105458"}, {"ref": "displaynames/titanic-suriveprediction-1", "kernel_id": "62356978"}, {"ref": "mohammedborhanuddin/start-with-titanic-first-kaggle-experience", "kernel_id": "62090154"}, {"ref": "alpersancili/titanic-gorev", "kernel_id": "62444910"}, {"ref": "sayedyounes/titanic-decision-tree-classification", "kernel_id": "62768223"}, {"ref": "praveen1910/titanic-ml-prediction-model", "kernel_id": "62021303"}, {"ref": "dheerajcl/titanic-v2", "kernel_id": "62754636"}, {"ref": "faheem113141/fork-of-titanic-survival-prediction", "kernel_id": "62047110"}, {"ref": "hishmoi4/hesham-ahmed", "kernel_id": "62706081"}, {"ref": "alexeybulichev/titanic", "kernel_id": "62694518"}, {"ref": "atharnaveed/titanic-disaster-predict", "kernel_id": "62202525"}, {"ref": "mglllinas/first-titanic-attempt", "kernel_id": "62645895"}, {"ref": "salmaselem/starting-with-titanic", "kernel_id": "62972952"}, {"ref": "ryanma826/titanic", "kernel_id": "62378382"}, {"ref": "bingyuan0126/machine-learning-exercise-titanic-random-forest", "kernel_id": "62530142"}, {"ref": "chengfg/llama3-8b-llm20-questions-lb-750", "kernel_id": "62011807"}, {"ref": "saincoder404/titanic-using-logistic-legression", "kernel_id": "62265943"}, {"ref": "lqy231/fastai-lesson-6a-random-forests", "kernel_id": "62203894"}, {"ref": "lqy231/task2", "kernel_id": "62204062"}, {"ref": "naiyakhalid/titanic-prediction", "kernel_id": "62973709"}, {"ref": "aravindnathan02/titanic-machine-learning-from-disaster", "kernel_id": "62795603"}, {"ref": "andrey6158/titanic-what-features-work-for-train-and-test", "kernel_id": "62704497"}, {"ref": "mhdtahadaboul/titanic-model", "kernel_id": "62765128"}, {"ref": "gcabrel/titanic-top-solution", "kernel_id": "62522548"}, {"ref": "iliyatodorov/titanic-classification", "kernel_id": "62358347"}, {"ref": "princekhunt19/starter-titanic-disaster", "kernel_id": "62826813"}, {"ref": "leonardshanjilee/first-commit", "kernel_id": "62244662"}, {"ref": "kysd2023/exploratorydataanalysislearningfromtitanic", "kernel_id": "62855620"}, {"ref": "codecodeneed/autogluon-tabular-pip", "kernel_id": "62256656"}, {"ref": "calebtownsend01/fastai-lesson-5b-use-a-framework", "kernel_id": "62121294"}, {"ref": "calebtownsend01/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62121008"}, {"ref": "calebtownsend01/fastai-lesson-6a-random-forests", "kernel_id": "62473378"}, {"ref": "calebtownsend01/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62473521"}, {"ref": "camilamuozacevedo/eda-titanic-dataset", "kernel_id": "62367549"}, {"ref": "kamilandrzejewski/titanic-disaster", "kernel_id": "62823022"}, {"ref": "abdulrhmaneldeeb/titanic-survival-classification", "kernel_id": "62818861"}, {"ref": "lucaadornetto/linear-model-and-neural-net-from-scratch", "kernel_id": "62952487"}, {"ref": "lucaadornetto/why-you-should-use-a-framework", "kernel_id": "62952533"}, {"ref": "billydomanti/fastai-lesson-6a-random-forests", "kernel_id": "62582719"}, {"ref": "billydomanti/fastai-lesson-5b-use-a-framework", "kernel_id": "62201314"}, {"ref": "billydomanti/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62201281"}, {"ref": "wesleygilsenan/fastai-lesson-6a-random-forests", "kernel_id": "62175392"}, {"ref": "piyushverma1701/fastai-lesson-6a-random-forests", "kernel_id": "62614345"}, {"ref": "piyushverma1701/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62613635"}, {"ref": "lachlanholmes/fastai-lesson-6a-random-forests", "kernel_id": "62248909"}, {"ref": "lachlanholmes/fork-of-fastai-lesson-6b-spaceshiptitanic", "kernel_id": "62254399"}, {"ref": "garionrains/fastai-lesson-5b-use-a-framework", "kernel_id": "62737313"}, {"ref": "garionrains/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62518524"}, {"ref": "hexonhartleyjimenez/prac07-task2-fastai-lesson-6a-random-forests", "kernel_id": "62498872"}, {"ref": "hexonhartleyjimenez/fastai-lesson-6a-random-forests", "kernel_id": "62157458"}, {"ref": "garvitmalik2121/fastai-lesson-5b-use-a-framework", "kernel_id": "62010609"}, {"ref": "garvitmalik2121/fastai-lesson-6a-random-forests", "kernel_id": "62383143"}, {"ref": "katlynwhyte/fastai-lesson-6a-random-forests", "kernel_id": "62175673"}, {"ref": "melvinalasia/fastai-lesson-5b-use-a-framework-8bfd06", "kernel_id": "62179981"}, {"ref": "melvinalasia/fastai-lesson-5-linear-model-and-neural-net-ed932c", "kernel_id": "62179595"}, {"ref": "melvinalasia/fastai-lesson-6a-random-forests", "kernel_id": "62180367"}, {"ref": "melvinalasia/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62139291"}, {"ref": "melvinalasia/fastai-lesson-5b-use-a-framework", "kernel_id": "62140564"}, {"ref": "nicklausmathias/titanic-prediction", "kernel_id": "62291816"}, {"ref": "caelsalmond/fastai-lesson-6a-random-forests-task2", "kernel_id": "62256673"}, {"ref": "caelsalmond/fastai-lesson-6a-random-forests", "kernel_id": "62254960"}, {"ref": "sumanbera19/titanic-abc", "kernel_id": "62673306"}, {"ref": "ronakpatni/heart-disease-health-indicators", "kernel_id": "62217447"}, {"ref": "shivaunb/fastai-lesson-6a-random-forests", "kernel_id": "62253457"}, {"ref": "shivaunb/task-2-spaceship-titanic", "kernel_id": "62255737"}, {"ref": "xanderdinocaubat/fastai-lesson-6a-random-forests", "kernel_id": "62253648"}, {"ref": "xanderdinocaubat/fastai-lesson-5-linear-model-and-neural-net-prac-6", "kernel_id": "62127142"}, {"ref": "xanderdinocaubat/fastai-lesson-5b-use-a-framework-prac-6", "kernel_id": "62128869"}, {"ref": "xanderdinocaubat/fastai-lesson-6a-task-2-spacetitanic", "kernel_id": "62513497"}, {"ref": "ricemaster/titanic-competition", "kernel_id": "62500520"}, {"ref": "saranyaponnarasu/titanic-survival-predictor", "kernel_id": "62158928"}, {"ref": "nourabouzeid/titanic", "kernel_id": "62298960"}, {"ref": "toms0o/fastai-lesson-6a-random-forests", "kernel_id": "62254286"}, {"ref": "sayande01/titanic-ml-competition", "kernel_id": "62870491"}, {"ref": "guilhermedesousa/titanic-hello-world", "kernel_id": "62450558"}, {"ref": "receponurokan/titanic-submission", "kernel_id": "62444902"}, {"ref": "kareemabdelhamed/titanic-visulization-procossing-5models", "kernel_id": "62713696"}, {"ref": "sanil25jain/titanic-machine-learning-from-disaster", "kernel_id": "62603062"}, {"ref": "amjadzhour/titanic-machine-learning-accuracy-90", "kernel_id": "62471255"}, {"ref": "ulasucan/titanic-competition-training", "kernel_id": "62399798"}, {"ref": "chagallamusinde/titanic-eda-logistic-regression", "kernel_id": "62456666"}, {"ref": "krayc81/titanic-with-sklearn-decisiontreeclassifier", "kernel_id": "62711676"}, {"ref": "krayc81/titanic-with-pytorch-model", "kernel_id": "62803147"}, {"ref": "alisj3/fastai-lesson-5b-use-a-framework", "kernel_id": "62145353"}, {"ref": "alisj3/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62144720"}, {"ref": "paveljurke/titanic-ml-competition", "kernel_id": "62285387"}, {"ref": "chiehyuchenjames/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62521471"}, {"ref": "chiehyuchenjames/fastai-lesson-6a-random-forests", "kernel_id": "62521072"}, {"ref": "kwokchunyik/fastai-lesson-6a-random-forests", "kernel_id": "62189587"}, {"ref": "kwokchunyik/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62205258"}, {"ref": "eithinzarphyo/fastai-lesson-6a-random-forests", "kernel_id": "62203703"}, {"ref": "eithinzarphyo/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62127090"}, {"ref": "eithinzarphyo/fastai-lesson-5b-use-a-framework", "kernel_id": "62127185"}, {"ref": "danishyousuf19/titanic-machine-learning-from-disaster", "kernel_id": "62332742"}, {"ref": "tensaiki/fastai-lesson-6a-random-forests-copy", "kernel_id": "62533012"}, {"ref": "tensaiki/fastai-lesson-6a-random-forests", "kernel_id": "62531983"}, {"ref": "tensaiki/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62144273"}, {"ref": "tensaiki/fastai-lesson-5b-use-a-framework", "kernel_id": "62144472"}, {"ref": "wilsonvall/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62208057"}, {"ref": "wilsonvall/fastai-lesson-6a-random-forests", "kernel_id": "62203581"}, {"ref": "guomike/fastai-lesson-6a-random-forests-2-task", "kernel_id": "62386230"}, {"ref": "guomike/fastai-lesson-6a-random-forests", "kernel_id": "62385416"}, {"ref": "chitramalam/titanic-deeplearning-mala", "kernel_id": "62023457"}, {"ref": "ziadsalama/titanic-machine-learning-from-disaster", "kernel_id": "62056282"}, {"ref": "alphaanas/my-first-notebook", "kernel_id": "62360842"}, {"ref": "linhhoacao/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62207339"}, {"ref": "linhhoacao/fastai-lesson-6a-random-forests", "kernel_id": "62205793"}, {"ref": "stevendebondi/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62116110"}, {"ref": "stevendebondi/fastai-lesson-5b-use-a-framework", "kernel_id": "62116124"}, {"ref": "stevendebondi/fastai-lesson-6a-random-forests", "kernel_id": "62523392"}, {"ref": "stevendebondi/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62523471"}, {"ref": "battlescythe300/prac7-part2", "kernel_id": "62469747"}, {"ref": "battlescythe300/fastai-lesson-6a-random-forests", "kernel_id": "62203745"}, {"ref": "scrapbeaver/fastai-lesson-6a-random-forests-bae35", "kernel_id": "62526333"}, {"ref": "scrapbeaver/fastai-lesson-6a-random-forests", "kernel_id": "62385501"}, {"ref": "scrapbeaver/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62126544"}, {"ref": "scrapbeaver/fastai-lesson-5b-use-a-framework", "kernel_id": "62131043"}, {"ref": "aidaabd96/titanic-tutorial", "kernel_id": "62630718"}, {"ref": "ahmedwael24/titanic-machinelearn-project", "kernel_id": "62295061"}, {"ref": "samarthkapoor003/titanic-passenger-survival-analysis", "kernel_id": "62289142"}, {"ref": "nishantsingh96/titanic", "kernel_id": "62795290"}, {"ref": "santhankarnala/top-1-in-titanic-survival-99-accuracy", "kernel_id": "62637452"}, {"ref": "yousefjaberabdelaziz/titanic-classification", "kernel_id": "62229999"}, {"ref": "hasanbakieri/titanic", "kernel_id": "62445117"}, {"ref": "hasanbakieri/notebook5a27b8f365", "kernel_id": "62643749"}, {"ref": "oliverrule/fastai-lesson-5b-use-a-framework", "kernel_id": "62575325"}, {"ref": "oliverrule/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62574770"}, {"ref": "eduardocalderini/titatic-tutorial-1", "kernel_id": "62064023"}, {"ref": "ayfait/titanic-mlfd-1-sklearn", "kernel_id": "62217801"}, {"ref": "shahdbadr/iti-titanic-task0", "kernel_id": "62722156"}, {"ref": "sbakmaged/iti-task", "kernel_id": "62720062"}, {"ref": "hongfeiqi/fastai-lesson-6a-random-forests", "kernel_id": "62383323"}, {"ref": "hongfeiqi/spaceship-titanic", "kernel_id": "62533952"}, {"ref": "hongfeiqi/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62539677"}, {"ref": "hongfeiqi/fastai-lesson-5b-use-a-framework", "kernel_id": "62539709"}, {"ref": "mshivansh875/titanic", "kernel_id": "62957158"}, {"ref": "zhouhanwei/fastai-lesson-6a-random-forests", "kernel_id": "62193720"}, {"ref": "zhouhanwei/fastai-lesson-6a-random-forests-8da835", "kernel_id": "62205007"}, {"ref": "talhatursun/titanic", "kernel_id": "62880240"}, {"ref": "waterdrinker/fastai-lesson-6a-random-forests-modified-for-space", "kernel_id": "62128968"}, {"ref": "yufeizhao04/cp3501-w7-task1", "kernel_id": "62530690"}, {"ref": "yufeizhao04/cp3501-w7-task2", "kernel_id": "62152066"}, {"ref": "yufeizhao04/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62204994"}, {"ref": "talithariddiford/prac7-fastai-lesson-6a-random-forests", "kernel_id": "62179762"}, {"ref": "hayleeturk/fastai-lesson-6a-random-forests", "kernel_id": "62478739"}, {"ref": "hayleeturk/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62532990"}, {"ref": "hayleeturk/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62124626"}, {"ref": "hayleeturk/fastai-lesson-5b-use-a-framework", "kernel_id": "62125091"}, {"ref": "zzhewei/notebook-titanic", "kernel_id": "62888056"}, {"ref": "sagnikdebnath007/notebook0cbae6f733", "kernel_id": "62358505"}, {"ref": "coreygrainger/fastai-lesson-6a-random-forests-titanic", "kernel_id": "62175636"}, {"ref": "alan112114/fastai-lesson-5b-use-a-framework", "kernel_id": "62011688"}, {"ref": "alan112114/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62011059"}, {"ref": "alan112114/fastai-lesson-6a-random-forests-4261f9", "kernel_id": "62486050"}, {"ref": "alan112114/how-random-forests-really-work", "kernel_id": "62486513"}, {"ref": "leandelossantos/fastai-lesson-5b-use-a-framework", "kernel_id": "62524552"}, {"ref": "daynemorris/spaceship-titanic-doc", "kernel_id": "62485869"}, {"ref": "daynemorris/fastai-lesson-6a-random-forests-ca4e6a", "kernel_id": "62485252"}, {"ref": "jacksonjcu/fastai-lesson-6a-random-forests", "kernel_id": "62472354"}, {"ref": "jacksonjcu/fastai-lesson-6a-random-forests-28bb9a", "kernel_id": "62472582"}, {"ref": "jacksonjcu/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62117862"}, {"ref": "jacksonjcu/fastai-lesson-5b-use-a-framework", "kernel_id": "62118609"}, {"ref": "mtajonera/fastai-lesson-05-linear-model-and-neural-net", "kernel_id": "62145334"}, {"ref": "mtajonera/fasati-lesson-05-pt2-use-a-framework", "kernel_id": "62146675"}, {"ref": "sethgersbach/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62079767"}, {"ref": "joyaljoyjj/fastai-lesson-6a-random-forests", "kernel_id": "62526963"}, {"ref": "joyaljoyjj/fork-of-fastai-lesson-6a-random-forests-1ed359", "kernel_id": "62533514"}, {"ref": "joyaljoyjj/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62527522"}, {"ref": "joyaljoyjj/fork-of-fastai-lesson-6a-random-forests-9878e1", "kernel_id": "62529521"}, {"ref": "joyaljoyjj/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62146705"}, {"ref": "joyaljoyjj/fastai-lesson-5b-use-a-framework", "kernel_id": "62146720"}, {"ref": "jkaiteo/prac-7-task-2", "kernel_id": "62204985"}, {"ref": "jkaiteo/prac-7-task-1", "kernel_id": "62201305"}, {"ref": "vihoa02/fastai-lesson-6a-random-forests", "kernel_id": "62204520"}, {"ref": "vihoa02/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62206290"}, {"ref": "ralphishere/fastai-lesson-6a-random-forests-2", "kernel_id": "62206498"}, {"ref": "ralphishere/fastai-lesson-6a-random-forests-ralph", "kernel_id": "62203695"}, {"ref": "zhoujiejcu/fastai-lesson-6a-random-forests-task1", "kernel_id": "62201170"}, {"ref": "zhoujiejcu/fastai-lesson-6a-random-forests-task2", "kernel_id": "62207628"}, {"ref": "zhoujiejcu/fork-of-fastai-lesson-7b-random-forests-task2", "kernel_id": "62206456"}, {"ref": "tin555/fastai-lesson-6a-spaceship-titanic", "kernel_id": "62385534"}, {"ref": "tin555/fastai-lesson-6a-random-forests", "kernel_id": "62385132"}, {"ref": "dianabukeikhanova/fastai-lesson-6a-random-forest-task2", "kernel_id": "62353944"}, {"ref": "dianabukeikhanova/fastai-lesson-6a-random-forests", "kernel_id": "62352153"}, {"ref": "tharhtetdennis/fastai-lesson-6a-random-forests", "kernel_id": "62385196"}, {"ref": "tharhtetdennis/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62385506"}, {"ref": "nawmaythuhan/task-2-of-fastai-lesson-6a-random-forests", "kernel_id": "62383374"}, {"ref": "nawmaythuhan/fastai-lesson-6a-random-forests", "kernel_id": "62382652"}, {"ref": "caoshaungli/task-2-spaceship-titanic", "kernel_id": "62198652"}, {"ref": "caoshaungli/fastai-lesson-6a-random-forests", "kernel_id": "62197535"}, {"ref": "diyuyang0929/fastai-lesson-6a-random-forests-diyuyang", "kernel_id": "62387505"}, {"ref": "baolinhvan/fork-of-fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62205017"}, {"ref": "baolinhvan/fastai-lesson-6a-random-forests", "kernel_id": "62197391"}, {"ref": "baolinhvan/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62200712"}, {"ref": "tuandn97/fastai-lesson-6a-random-forests-93b2c9", "kernel_id": "62204579"}, {"ref": "tuandn97/fastai-lesson-6a-random-forests", "kernel_id": "62204083"}, {"ref": "christianmadria/how-random-forests-really-work", "kernel_id": "62521118"}, {"ref": "jasonelmerborisman/fastai-lesson-6a-random-forests-df2004", "kernel_id": "62218848"}, {"ref": "jasonelmerborisman/fastai-lesson-6a-random-forests", "kernel_id": "62205074"}, {"ref": "voctorianora/fastai-lesson-6a-random-forests", "kernel_id": "62203675"}, {"ref": "voctorianora/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62203837"}, {"ref": "voctorianora/fastai-lesson-5b-use-a-framework", "kernel_id": "62127152"}, {"ref": "voctorianora/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62127035"}, {"ref": "kuangziye/prac-7-task-2", "kernel_id": "62386169"}, {"ref": "kuangziye/prac-7-task1", "kernel_id": "62385621"}, {"ref": "patricksssstar/fastai-lesson-6a-random-forests", "kernel_id": "62385775"}, {"ref": "patricksssstar/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62386659"}, {"ref": "norairtarasov/fastai-lesson-6a-random-forests", "kernel_id": "62483247"}, {"ref": "daviduy/fastai-lesson-6a-random-forests", "kernel_id": "62256065"}, {"ref": "daviduy/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62532704"}, {"ref": "aubienethompson/fastai-lesson-6a-random-forests", "kernel_id": "62529895"}, {"ref": "aubienethompson/fork-of-fastai-lesson-5b-use-a-framework", "kernel_id": "62322307"}, {"ref": "nangkaungshankham/fastai-lesson-6a-random-forests", "kernel_id": "62566180"}, {"ref": "jiehanli/how-random-forests-really-work", "kernel_id": "62528021"}, {"ref": "jiehanli/fastai-lesson-6a-random-forests", "kernel_id": "62387242"}, {"ref": "liangzc321/fastai-lesson-6a-random-forests", "kernel_id": "62504236"}, {"ref": "lupan71/fastai-lesson-6a-random-forests", "kernel_id": "62385723"}, {"ref": "lupan71/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62093082"}, {"ref": "lupan71/fastai-lesson-5b-use-a-framework", "kernel_id": "62093188"}, {"ref": "zhonghao666/fastai-lesson-6a-random-forests-jiangzhonghao", "kernel_id": "62387546"}, {"ref": "jiaxuanliu33/fastai-lesson-6a-random-forests-task-2", "kernel_id": "62387134"}, {"ref": "jiaxuanliu33/fastai-lesson-6a-random-forests", "kernel_id": "62385503"}, {"ref": "andrejonathan/task-2-fastai-lesson-6a-random-forests", "kernel_id": "62386988"}, {"ref": "andrejonathan/fastai-lesson-6a-random-forests", "kernel_id": "62385461"}, {"ref": "lzpxenon/fastai-lesson-6a-random-forests", "kernel_id": "62386933"}, {"ref": "jaskiratbatth/fastai-lesson-6a-random-forests", "kernel_id": "62382872"}, {"ref": "jaskiratbatth/fastai-lesson-5b-use-a-framework", "kernel_id": "62010269"}, {"ref": "harshdeepkaur08/fastai-lesson-6a-random-forests", "kernel_id": "62382908"}, {"ref": "shauntrinh/fork-of-fastai-lesson-6a-random-forests-2", "kernel_id": "62207002"}, {"ref": "shauntrinh/fastai-lesson-6a-random-forests", "kernel_id": "62204137"}, {"ref": "kavinnan/ml-titanic-dataset", "kernel_id": "62997579"}, {"ref": "amyzhongyq/fastai-lesson-6a-random-forests", "kernel_id": "62181747"}, {"ref": "amyzhongyq/spacetitanic-random-forests", "kernel_id": "62473775"}, {"ref": "omeyehillaryo/fork-of-fastai-lesson-6a-spaceship-titanic-dataset", "kernel_id": "62203751"}, {"ref": "omeyehillaryo/fastai-lesson-6a-random-forests", "kernel_id": "62203271"}, {"ref": "pranitpandeykaggle/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62499023"}, {"ref": "pranitpandeykaggle/fastai-lesson-5b-use-a-framework", "kernel_id": "62500061"}, {"ref": "pranitpandeykaggle/task2-fastai-lesson-6a-random-forests", "kernel_id": "62837609"}, {"ref": "pranitpandeykaggle/fastai-lesson-6a-random-forests", "kernel_id": "62806036"}, {"ref": "khantzayyar20/fastai-lesson-6a-random-forests", "kernel_id": "62527046"}, {"ref": "khantzayyar20/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62571699"}, {"ref": "khantzayyar20/fastai-lesson-5b-use-a-framework", "kernel_id": "62571981"}, {"ref": "maivang/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62478748"}, {"ref": "maivang/fastai-lesson-6a-random-forests", "kernel_id": "62476590"}, {"ref": "maivang/fastai-lesson-5b-use-a-framework", "kernel_id": "62137524"}, {"ref": "maivang/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62135115"}, {"ref": "jiemolv/fastai-lesson-6a-random-forests-zhangyiwen", "kernel_id": "62385243"}, {"ref": "johnsbijoy/fastai-lesson-5b-use-a-framework", "kernel_id": "62121296"}, {"ref": "johnsbijoy/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "62119990"}, {"ref": "johnsbijoy/how-random-forests-really-work", "kernel_id": "62612082"}, {"ref": "johnsbijoy/fastai-lesson-6a-random-forests", "kernel_id": "62611379"}, {"ref": "johnsbijoy/linear-model-and-neural-net-from-scratch", "kernel_id": "62610490"}, {"ref": "nyanlinhtut/fastai-lesson-6a-random-forests", "kernel_id": "62531101"}, {"ref": "nyanlinhtut/starting-spaceship-titanic-modification", "kernel_id": "62532331"}, {"ref": "jackcox343/fastai-lesson-5b-use-a-framework", "kernel_id": "62281445"}, {"ref": "jackcox343/fastai-lesson-6a-random-forests", "kernel_id": "62523217"}, {"ref": "akshatsaihgal/titanic-competition", "kernel_id": "62771106"}, {"ref": "umairhayat/eda-seaborn", "kernel_id": "62956318"}, {"ref": "wengshenghao/fastai-lesson-5-wengshenghao", "kernel_id": "62150308"}, {"ref": "elliotwarner1999/notebook25d57054ee", "kernel_id": "62071982"}, {"ref": "mister2005/titanic-data-set-modeling", "kernel_id": "62413291"}, {"ref": "mister2005/exercise-1-arithmetic-and-variables", "kernel_id": "62408115"}, {"ref": "longnankay/titanic-pytorch", "kernel_id": "62062270"}, {"ref": "deamariaroys/fastai-lesson-6a-random-forests", "kernel_id": "62260849"}, {"ref": "s1f102202246/notebook2c71690f96", "kernel_id": "62134876"}, {"ref": "akhildy07/titanic-survival-prediction", "kernel_id": "62488632"}, {"ref": "nehagupta2611/mlp-data-preprocessing-feature-eng-selec", "kernel_id": "62403279"}, {"ref": "jakubbednarek/titanic-tensorflow-gbt", "kernel_id": "62443970"}, {"ref": "jakubbednarek/titanic-submission-rfr", "kernel_id": "62150179"}, {"ref": "anishvijay/my-titanic", "kernel_id": "62698281"}, {"ref": "muinfinity/getting-started-with-titanic", "kernel_id": "62008376"}, {"ref": "sarpersen/eda-on-titanic-dataset", "kernel_id": "62627295"}, {"ref": "nabeelashfaquesheikh/nas-hw-week-1-titanic", "kernel_id": "62700610"}, {"ref": "zaafirulhasan/workshop-day-1-titanic-dataset", "kernel_id": "62710690"}, {"ref": "hadiyakashif/titanicdataset-hadiyakashif", "kernel_id": "62579764"}, {"ref": "jqueir/titanic-tutorial", "kernel_id": "62489846"}, {"ref": "jqueir/traditionalml-titanic", "kernel_id": "62489893"}, {"ref": "hamzamujinovic/titanic-survival-analysis", "kernel_id": "62212262"}, {"ref": "fangwt/pred-survivor", "kernel_id": "62530988"}, {"ref": "rudenkobogdan/data-analysis-and-model-submission-23-models", "kernel_id": "62526805"}, {"ref": "ioanamurariu/titanic-ml-algs-rf-dt-lr-xgboost-svm-knn", "kernel_id": "62271091"}, {"ref": "sanjanasinghss/titanic-submission", "kernel_id": "62813858"}, {"ref": "moazwael20200/titanic-project", "kernel_id": "62309696"}, {"ref": "mizanhabtemichael/titanic-survival-mhmg", "kernel_id": "62357479"}, {"ref": "syedsalahuddinquadri/titanic-using-dl", "kernel_id": "62072634"}, {"ref": "handesav/exercise-arithmetic-and-variables", "kernel_id": "62416926"}, {"ref": "beyzacoban/titanic-submission", "kernel_id": "62444912"}, {"ref": "beyzacoban/automl-titanic", "kernel_id": "62643798"}, {"ref": "waqi786/titanic-machine-learning-competition-notebook", "kernel_id": "62795828"}, {"ref": "sergioduenas/titanic", "kernel_id": "62501190"}, {"ref": "mabdullahabrar/titanic-machine-learning", "kernel_id": "62270822"}, {"ref": "mmrngz/titanicprojectc", "kernel_id": "62705460"}, {"ref": "ketechy/titanic-detailed-solution-for-beginners", "kernel_id": "62063742"}, {"ref": "borakol1/auto-ml-titanic", "kernel_id": "62644110"}, {"ref": "borakol1/titanic-submission", "kernel_id": "62445015"}, {"ref": "justinpoehls/titanic-version-1", "kernel_id": "62777850"}, {"ref": "justinpoehls/titanic-version-2", "kernel_id": "62781641"}, {"ref": "ademensari/titanic-submission", "kernel_id": "62444919"}, {"ref": "haninimbarek/adaboostclassifier", "kernel_id": "62461689"}, {"ref": "fetiadagkta/titanic-survived", "kernel_id": "62646198"}, {"ref": "alperugurca/automl-pycaret-titanic", "kernel_id": "62492162"}, {"ref": "alperugurca/titanickaggle", "kernel_id": "62346987"}, {"ref": "senasudemir/automltraining", "kernel_id": "62643753"}, {"ref": "senasudemir/titanic-submission", "kernel_id": "62444924"}, {"ref": "tubaaksu/titanic-gorev", "kernel_id": "62445064"}, {"ref": "devodry/devodry-titanic", "kernel_id": "62248911"}, {"ref": "syedzaynshah/titanic-data-analysis-eda", "kernel_id": "62271493"}, {"ref": "hasanbudak/titanicsubmission", "kernel_id": "62444907"}, {"ref": "laydanursayan/auto-ml", "kernel_id": "62643752"}, {"ref": "sdotzwane/getting-started-with-titanic", "kernel_id": "62412088"}, {"ref": "kwarkp/automl", "kernel_id": "62635781"}, {"ref": "aarushisinghania/simple-logistic-regression", "kernel_id": "62583893"}, {"ref": "stevenbao12/notebook871ed8a1b3", "kernel_id": "62316952"}, {"ref": "adelebertschy/titanic-example", "kernel_id": "62350150"}, {"ref": "vitormeurerbesen/classification-gridsearch-fine-tuning-80-1-acc", "kernel_id": "62976989"}, {"ref": "keishikgm/kaggle", "kernel_id": "62689178"}, {"ref": "chaoschako/titanic-1-random-forest-model", "kernel_id": "62557959"}, {"ref": "chaoschako/titanic-2-gradient-boosted-trees", "kernel_id": "62559338"}, {"ref": "marcbaro8/titanic", "kernel_id": "62571758"}, {"ref": "madhushreechowdhury/madhushree-24-07-24-labassigment1", "kernel_id": "62695186"}, {"ref": "ishita172004/ishitadas-24-07-2024-labassignment1", "kernel_id": "62708530"}, {"ref": "badryounis/iti-task", "kernel_id": "62725213"}, {"ref": "apmohokar/exercise-arithmetic-and-variables", "kernel_id": "62742011"}, {"ref": "niharkanike/titanic-survival-prediction", "kernel_id": "62798521"}, {"ref": "alicanpayasli01/first-try-in-top17-with-keras", "kernel_id": "62955793"}, {"ref": "pawestobrawe/titanic-machine-learning-from-disaster", "kernel_id": "62809350"}, {"ref": "krupanshi/all-about-ml-titanic-classification", "kernel_id": "62959238"}, {"ref": "hbhargava2/day3-string", "kernel_id": "63637774"}, {"ref": "hbhargava2/day2-assignment2", "kernel_id": "63638193"}, {"ref": "ouroboross/titanic-prediction-nguyen-le-quoc-bao-svm", "kernel_id": "63401308"}, {"ref": "natasha23/decision-trees-random-forest-for-beginners", "kernel_id": "63513834"}, {"ref": "mikelovesrobots/titanic", "kernel_id": "63316152"}, {"ref": "vbmokin/50-advanced-tips-data-science-tabular-data-v2", "kernel_id": "63118184"}, {"ref": "swhale/titanic-autogluon", "kernel_id": "63364363"}, {"ref": "waiyin/project-1-titanic-survival-with-sklearn-and-rfc", "kernel_id": "63276698"}, {"ref": "wander009/titanic-tutorial", "kernel_id": "63183988"}, {"ref": "irfanahmad1/comprehensive-titanic-survival-prediction", "kernel_id": "63207679"}, {"ref": "rakibmahmud/titanic-tutorial", "kernel_id": "63182959"}, {"ref": "bktanloc/titanic-tutorial", "kernel_id": "63370554"}, {"ref": "jadainara/titanic-benkyo", "kernel_id": "63161167"}, {"ref": "maxinexiong1212/titanic-survival-prediction-pyspark-ml", "kernel_id": "63779524"}, {"ref": "zaki0009/20240803-kaggler-shap", "kernel_id": "63211933"}, {"ref": "ahsenwaheed/5-ml-models-implementation", "kernel_id": "63305200"}, {"ref": "rafaelrangel/titanic-machine-learning-from-disaster", "kernel_id": "63025681"}, {"ref": "akshilaanurangi/titanic-advanced-feature-engineering-tutorial", "kernel_id": "63798688"}, {"ref": "kavehzare/titanic-top-8-machine-learning", "kernel_id": "63073808"}, {"ref": "yadavshivamz/why-you-should-use-a-framework", "kernel_id": "63516230"}, {"ref": "yadavshivamz/linear-model-and-neural-net-from-scratch", "kernel_id": "63506252"}, {"ref": "islamnasser/titanic", "kernel_id": "63548270"}, {"ref": "mos3santos/competi-o-tit-nica-tensorflow", "kernel_id": "63521267"}, {"ref": "lolislayer/gridsearch-parameter-fine-tuning-random-forest", "kernel_id": "63212055"}, {"ref": "philchen83/titanic-survival", "kernel_id": "63757913"}, {"ref": "param302/mlp-session-16-knn-svm-nb-by-parampreet-singh", "kernel_id": "63161175"}, {"ref": "diorbillups/newbie-trying-titanic", "kernel_id": "63482907"}, {"ref": "ahmadalhuzaifa/working-with-titanic-dataset", "kernel_id": "63166666"}, {"ref": "gyanadasharma/titanic-eda-and-prediction", "kernel_id": "63474685"}, {"ref": "abdullahahmed98/titanic", "kernel_id": "63549668"}, {"ref": "vijayalakshmi2002/titanic-kaggle-competition", "kernel_id": "63864315"}, {"ref": "tareqhassn/notebook98fe624a35", "kernel_id": "63588351"}, {"ref": "promminvutivivatchai/titanic-pv-ver1", "kernel_id": "63214067"}, {"ref": "gh0std3v/titanic-multilevel-model", "kernel_id": "63524139"}, {"ref": "hossamgno/titanik-notebook", "kernel_id": "63361299"}, {"ref": "ramezmohamed/titanic-survival-predict-xgbclassifier-acc-88-2", "kernel_id": "63247265"}, {"ref": "suryanivetha/titanic-ml-prediction", "kernel_id": "63202545"}, {"ref": "mrversatilesha/titanic-vdata-set", "kernel_id": "63066473"}, {"ref": "lucaspimentatpn/titanic-tutorial", "kernel_id": "63428014"}, {"ref": "abaidhafeez/disaster-titanic", "kernel_id": "63684004"}, {"ref": "harbmarc/full-titanic-notebook", "kernel_id": "63229727"}, {"ref": "nada144/titanic-competition-simple-code", "kernel_id": "63281804"}, {"ref": "basselashraf/titanic-competition", "kernel_id": "63510720"}, {"ref": "whoishmk/titanic-deep-learning-using-tensorflow", "kernel_id": "63517635"}, {"ref": "aass12/notebook56053f66f7", "kernel_id": "63348260"}, {"ref": "sarcasmbabachannel/mazid-nawaz-24-08-24-labassignment-1", "kernel_id": "63098419"}, {"ref": "youssefhassan1234/titanic-machine-learning-from-disaster", "kernel_id": "63417063"}, {"ref": "sweadhamtarek/classification-comparison", "kernel_id": "63474381"}, {"ref": "manaswinimishra/titanic-disaster-by-manaswini", "kernel_id": "63321391"}, {"ref": "mennatullaheisawy/titanic-binary-classification-with-lgbm-xgboost", "kernel_id": "63635273"}, {"ref": "abdullahdahabre23/titanic-machine-learning-from-disaster", "kernel_id": "63352500"}, {"ref": "lorenzy/features-of-titanic", "kernel_id": "63080711"}, {"ref": "lorenzy/adaboostclassifier", "kernel_id": "63081355"}, {"ref": "romitgupta15/22bce1349-romit-gupta", "kernel_id": "63425408"}, {"ref": "omeiogami/re-titanic", "kernel_id": "63694458"}, {"ref": "abdelhadifadili/exploratory-data-analysis-titanic-disaster", "kernel_id": "63595515"}, {"ref": "vishalgat1232/case-study-central-limit-theorem", "kernel_id": "63518205"}, {"ref": "vishalgat1232/confidence-interval-using-t-procedure", "kernel_id": "63601580"}, {"ref": "suryaprakash8980/titanic-logistic-regression-random-forest", "kernel_id": "63965164"}, {"ref": "kacperbkowski/titanic-disaster", "kernel_id": "63025137"}, {"ref": "alkidiarete/titanic-xgbrfclassifier", "kernel_id": "63006284"}, {"ref": "balor1/titanic-task", "kernel_id": "63029990"}, {"ref": "plaincroissant/titanic-ml-iti", "kernel_id": "63224749"}, {"ref": "mergerin/feature-engineering-find-missing-values", "kernel_id": "63418694"}, {"ref": "mergerin/feature-engineering-encoding-scaling-techniques", "kernel_id": "63485304"}, {"ref": "namanlalwani/notebook03be89959b", "kernel_id": "63471928"}, {"ref": "rubahameed/titanic-survival-prediction", "kernel_id": "63049893"}, {"ref": "annaatn/titanic-challenge-atut", "kernel_id": "63893290"}, {"ref": "shahansikandar/getting-started-with-titanic", "kernel_id": "63051776"}, {"ref": "engineerfrabbi/titanic-machine-learning-from-disaster", "kernel_id": "63141260"}, {"ref": "sanyaahmed/getting-started-with-titanic", "kernel_id": "63447811"}, {"ref": "prathamjyotsingh/titanic-neural-network", "kernel_id": "63662802"}, {"ref": "khanzala/titanic-disaster-s-survival-prediction-model", "kernel_id": "63045197"}, {"ref": "josecabernet/titanic-survivability-predictions", "kernel_id": "63044034"}, {"ref": "omniaayman1/titanic-eda-visualization-and-modeling", "kernel_id": "63187979"}, {"ref": "amankhan98/titanic-analysis", "kernel_id": "63426956"}, {"ref": "mhassaan1122/titanic-machine-learning-survival-prediction", "kernel_id": "63573978"}, {"ref": "omuraybar/datai-team-titanic-eda-omur", "kernel_id": "63525571"}, {"ref": "sireesha715/bivariate-multivariate-analysis", "kernel_id": "63087394"}, {"ref": "vanshikaco21366/nn-practical-3", "kernel_id": "63545622"}, {"ref": "joshuaorndorff/titanic-ml", "kernel_id": "63557251"}, {"ref": "gloriaghosh/labassignment1-gloriaghosh", "kernel_id": "63502640"}, {"ref": "beasttitan/titanic-machine-learning-from-disaster", "kernel_id": "63500771"}, {"ref": "vaibhavmodi45/notebook2971132c1e", "kernel_id": "63996177"}, {"ref": "abuhajar/ahtisham-s-titanic-notebook", "kernel_id": "63005662"}, {"ref": "daltongabrielomondi/titanic-survival-ras-ml", "kernel_id": "63659315"}, {"ref": "rasamanil/titanic-prediction-of-survivor-2", "kernel_id": "63936797"}, {"ref": "rasamanil/titanic-survivor-prediction", "kernel_id": "63934730"}, {"ref": "aditbharatchheda/titanic-data-analysis", "kernel_id": "63639637"}, {"ref": "hasnainkhan0123/survival-prediction-neural-network", "kernel_id": "63576402"}, {"ref": "ancorufio/comparison-of-auto-eda-tools-on-titanic-ds", "kernel_id": "63817821"}, {"ref": "ancorufio/solving-titanic-problem-using-rf-hyperopt-eda", "kernel_id": "63583302"}, {"ref": "youssefayman22/titanic-tutorial", "kernel_id": "63901107"}, {"ref": "omarmedhat1/prediction-using-logistic-regression", "kernel_id": "63193119"}, {"ref": "loreisat/titanic-modelos-supervisados-predicci-n", "kernel_id": "63570445"}, {"ref": "tronnt/prediction-of-survivals", "kernel_id": "63587222"}, {"ref": "ftaham/titanic-competitions", "kernel_id": "63419659"}, {"ref": "ckaygusuz/titanic-decision-trees-ensemble-methods", "kernel_id": "63977547"}, {"ref": "koshijain/titanic-survival-prediction-using-nn", "kernel_id": "63588702"}, {"ref": "abdullah0a/titanic-survival-prediction-pipeline", "kernel_id": "63553300"}, {"ref": "omarfahmyelsharabasy/titanic-competition", "kernel_id": "63225610"}, {"ref": "amirakhaledsoliman/titanic-m-l-lr", "kernel_id": "63682130"}, {"ref": "mnaumnau/titanic-tflow-pipelines", "kernel_id": "63540859"}, {"ref": "franekbiscuup/titanic", "kernel_id": "63543831"}, {"ref": "anshulm257/titanic-data-visualization-feature-engg-xgb", "kernel_id": "63109561"}, {"ref": "abhirupchoudhury073/my-titanic-notebook", "kernel_id": "63591369"}, {"ref": "lucyhe2/dataset-testing", "kernel_id": "63526296"}, {"ref": "ansh15880/notebookc9466592b5", "kernel_id": "63709102"}, {"ref": "jadelx/autoprep-automl-top-10", "kernel_id": "63854961"}, {"ref": "vishalpatwa/titanic-survived-prediction", "kernel_id": "63515331"}, {"ref": "arkade12/titanic-survival-prediction", "kernel_id": "63551956"}, {"ref": "anubhavsaha7/ml-decision-tree", "kernel_id": "63348569"}, {"ref": "ahmddbilall/titanic-logistic-regression", "kernel_id": "63175962"}, {"ref": "garionrains/cp3501-week-7-prac", "kernel_id": "63068721"}, {"ref": "garionrains/fastai-lesson-6a-random-forests", "kernel_id": "63022070"}, {"ref": "anisadelasetyawati/exercise-arithmetic-and-variables", "kernel_id": "63194433"}, {"ref": "muhammadrameez242/titanic-competition", "kernel_id": "63990927"}, {"ref": "taewoosung/0-80-xgboost", "kernel_id": "63421680"}, {"ref": "shathamubarak/titanic-a-detailed-classification-pipeline", "kernel_id": "63124896"}, {"ref": "frikaya/getting-started-with-titanic", "kernel_id": "63592224"}, {"ref": "abhirajrana165/logistic-regression-f1-74", "kernel_id": "63689886"}, {"ref": "pradishvaidya/titanic-passenger-survival-prediction", "kernel_id": "63599048"}, {"ref": "kareemabdelhamed/5-dataset-full-visualization-in-1-line-of-code", "kernel_id": "63212761"}, {"ref": "beweird/titanic-eda-predict", "kernel_id": "63385759"}, {"ref": "ziadelsamanody/titanic-machine-learning", "kernel_id": "63197947"}, {"ref": "nottheforce/titaniclogreg1", "kernel_id": "63249231"}, {"ref": "gamzetrker/gamze-titanik-eda", "kernel_id": "63096299"}, {"ref": "sillankumar/titanic-dataset-randomforest-xgb", "kernel_id": "63535103"}, {"ref": "dipit099/titanic-kaggle-notebook", "kernel_id": "63535013"}, {"ref": "aranyakbanerjee007/titanic-survival-prediction", "kernel_id": "63535815"}, {"ref": "mennakhalifa04/titanic", "kernel_id": "63017437"}, {"ref": "amoghsrivastavaokok/amogh-srivastava-22bme1015-titanic", "kernel_id": "63600670"}, {"ref": "ecealmirakaya/titanic-prediction", "kernel_id": "63608895"}, {"ref": "randahamada90/titanic-classification-competition", "kernel_id": "63466114"}, {"ref": "alialmulla97/titanic-survival-predictor", "kernel_id": "63248022"}, {"ref": "aliehhassanzadeh/titanic-machine-learning-from-disast", "kernel_id": "63435875"}, {"ref": "kpatel00/titanic-disaster-survival-prediction-using-sklearn", "kernel_id": "63671258"}, {"ref": "efesaracalioglu/efe-titanic-eda", "kernel_id": "63208102"}, {"ref": "jennyzzhu/predicting-titanic-survivors-with-neural-network", "kernel_id": "63493002"}, {"ref": "shauntrinh/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "63488801"}, {"ref": "shauntrinh/fastai-lesson-5b-use-a-framework", "kernel_id": "63488877"}, {"ref": "azracinarr/titanic-predictions", "kernel_id": "63658050"}, {"ref": "kyawzawwlinnjcu/fastai-lesson-6a-random-forests", "kernel_id": "63099551"}, {"ref": "johannaschmidle7/titanic-survival-predictor", "kernel_id": "63600952"}, {"ref": "aryanwd/titanic-prediction-analysis", "kernel_id": "63496859"}, {"ref": "chandupendyala/generic-titanic", "kernel_id": "63189791"}, {"ref": "wengshenghao/fastai-lesson-6a-random-forests-wengshenghao", "kernel_id": "63003806"}, {"ref": "masatochino/titanic-by-ghmagazine", "kernel_id": "63009255"}, {"ref": "alaawaelmo/titanic-machine-learning-from-disaster", "kernel_id": "63327131"}, {"ref": "animabarroca/titanic-competition", "kernel_id": "63059717"}, {"ref": "harigoshika/predicting-titanic-survivors", "kernel_id": "63844955"}, {"ref": "mparvinnair/titanic-machine-learning-from-disaster", "kernel_id": "63088863"}, {"ref": "serafettingazibaba/svm-xgboost-eda-preprocessing-gridsearchcv", "kernel_id": "63549483"}, {"ref": "jacksonsolomondavid/jackson-solomon-22bce1716", "kernel_id": "63261106"}, {"ref": "schand98/titanic-logistic-regression", "kernel_id": "63091811"}, {"ref": "schand98/titanic", "kernel_id": "63076098"}, {"ref": "ouside/krr-model-the-top-2-68-titanic", "kernel_id": "63348935"}, {"ref": "furkannzdl/titanic-with-logistic-regression", "kernel_id": "63564329"}, {"ref": "pjay6120/titanic-survival-classification", "kernel_id": "63514424"}, {"ref": "mephistophel2312/my-first-job-at-kaggle", "kernel_id": "63648880"}, {"ref": "brahimettanany/titanic-survival-prediction", "kernel_id": "63590224"}, {"ref": "haseebzahid583/titanic-lm-dp", "kernel_id": "63513699"}, {"ref": "carmenteng/titanic-machine-learning-from-disaster-cc", "kernel_id": "63100868"}, {"ref": "octahedronbb/titanic-randomforest", "kernel_id": "63693918"}, {"ref": "iceman099/adityagupta-22bce1666", "kernel_id": "63282995"}, {"ref": "humzazohair/titanic-competition", "kernel_id": "63049326"}, {"ref": "vladislavlassa/catboost-tuning-eda-top-4", "kernel_id": "63560676"}, {"ref": "yoginegi04/yogyata-negi", "kernel_id": "63011710"}, {"ref": "ayonhalder/titanic-machine-learning-from-disaster", "kernel_id": "63502180"}, {"ref": "srijansil001/srijan-sil-lab-assignment-1-24-07-2024", "kernel_id": "63502628"}, {"ref": "codealiahmad/titanic-disaster-dataset-eda-ali-ahmed", "kernel_id": "63277399"}, {"ref": "matthias1102/getting-started-with-titanic", "kernel_id": "63023685"}, {"ref": "brajkalakheti/titantic-db-testing-models", "kernel_id": "63042405"}, {"ref": "intothenight/eda-on-titanic-dataset-and-survival-preds", "kernel_id": "63073456"}, {"ref": "vigneshgaunker/firstkagglesubmission", "kernel_id": "63596747"}, {"ref": "isseimatsufuji/python-kaggle-start-book-ch2-2", "kernel_id": "63097404"}, {"ref": "jagannathprudhviraj/titanic-survival-project", "kernel_id": "63167615"}, {"ref": "ruiviana/getting-started-with-titanic", "kernel_id": "63296096"}, {"ref": "manal11/titanic-accuracy-score-0-952", "kernel_id": "63295879"}, {"ref": "milkbottledude/titanical-machine-learning", "kernel_id": "63397918"}, {"ref": "milkbottledude/titanical-machine-learning-mark-ii", "kernel_id": "63645482"}, {"ref": "himanshusingh84/exercise-arithmetic-and-variables-hsingh", "kernel_id": "63343516"}, {"ref": "musman17550/exercise-arithmetic-and-variables", "kernel_id": "63345274"}, {"ref": "parsalatifi/titanic", "kernel_id": "63551971"}, {"ref": "hashemili/titanic-who-is-survived", "kernel_id": "63421994"}, {"ref": "durgeshtiwari0153/eda-regression-model-for-titanic-data", "kernel_id": "63423981"}, {"ref": "dng2nguyn2k7/car-assignment-tu-n-2", "kernel_id": "63961434"}, {"ref": "hozanbaydu/e-competition-titanic", "kernel_id": "63966847"}, {"ref": "jayashreebiswas/lab-assignment-jaya", "kernel_id": "63502623"}, {"ref": "yusefmh/neural-net-from-scratch", "kernel_id": "63959553"}, {"ref": "danielkiauribubel/portfolio-1b-titanic-ml-qhf154", "kernel_id": "63549593"}, {"ref": "mrcatism/first-project", "kernel_id": "63552118"}, {"ref": "abderraoufidel/titanic", "kernel_id": "63659921"}, {"ref": "sejaljoshi/titanic-survivors", "kernel_id": "64906128"}, {"ref": "khemankar/titanic-randomforest", "kernel_id": "64362695"}, {"ref": "sanjiv856/titanic-machine-learning-with-scikitlearn-pipeline", "kernel_id": "64423597"}, {"ref": "lekhnath/beginners-learn-to-use-pandas-like-a-pro", "kernel_id": "64152099"}, {"ref": "sniper008/titanic-eda-ml", "kernel_id": "64096245"}, {"ref": "octavianwr/dsf-day-4-titanic-supervised", "kernel_id": "64343319"}, {"ref": "octavianwr/dsf-day-3-titanic", "kernel_id": "64342279"}, {"ref": "maxinexiong1212/titanic-survival-prediction-xgboost-top10-rank", "kernel_id": "64165455"}, {"ref": "vijayrengan/data-analysis-of-titanic-dataset", "kernel_id": "64285538"}, {"ref": "malikasadullaeva96/titanic-challenge", "kernel_id": "64939993"}, {"ref": "berkandemiral/miuul-data-science-bootcamp-part1", "kernel_id": "64729340"}, {"ref": "berkandemiral/miuul-data-science-bootcamp-exercises", "kernel_id": "64784100"}, {"ref": "shahriarkabir/titanic-dataset-eda-and-survival-prediction", "kernel_id": "64786153"}, {"ref": "umanggulati/titanic-prediction-ml", "kernel_id": "64903382"}, {"ref": "drmurataltun/titanic-veri-gorselle-tirme", "kernel_id": "64451334"}, {"ref": "jintanaka/titanic-polars", "kernel_id": "64437640"}, {"ref": "bilgekaanszen/machine-learning-from-disaster", "kernel_id": "64178104"}, {"ref": "bilgekaanszen/titanic-machine-learning-from-disaster", "kernel_id": "64009128"}, {"ref": "eduardoorlandin/tutorialtitanic1", "kernel_id": "64436548"}, {"ref": "yuyuan1208/classical-case3-private-vs-public-uni", "kernel_id": "64324122"}, {"ref": "khaledabdelgaber/feature-selection-filter-wrapper-embedded", "kernel_id": "64889792"}, {"ref": "ammiellewb/fork-of-titanic-hackapro2024-completed", "kernel_id": "64640768"}, {"ref": "ammiellewb/titanic-hackapro2024-blank", "kernel_id": "64356992"}, {"ref": "takeshiokamura/fkngt", "kernel_id": "64934868"}, {"ref": "davinascimento/titanic-survival-prediction-alt-approach", "kernel_id": "64772130"}, {"ref": "davinascimento/titanic-survival-prediction", "kernel_id": "64440278"}, {"ref": "teenasapra/getting-started-with-titanic", "kernel_id": "64227770"}, {"ref": "vladimirmijatovic/chatgpt-is-hallucinating-but-of-course-it-does", "kernel_id": "64816264"}, {"ref": "e29ombhandwalkar/filter-based-feature-selection", "kernel_id": "64062068"}, {"ref": "hotspringjpn/titanic-8", "kernel_id": "64174678"}, {"ref": "machineglitch/kaggle-tutorial", "kernel_id": "64273790"}, {"ref": "arjunharidaspallath/simple-titanic-classification", "kernel_id": "64379652"}, {"ref": "hobeomlee/titanic-eda-feature-engineering", "kernel_id": "64024261"}, {"ref": "satmeetsinghsaluja/notebook58ca240d47", "kernel_id": "64781281"}, {"ref": "anastasiiachereshnia/chereshnia-anastasiia-titanic", "kernel_id": "64884415"}, {"ref": "shansyuehe/titanic", "kernel_id": "64808812"}, {"ref": "shoaibahmed48/titanic-survival-prediction", "kernel_id": "64756564"}, {"ref": "anamikagahlot/central-limit-theorem", "kernel_id": "64926299"}, {"ref": "kevinshin01/titanic", "kernel_id": "64322546"}, {"ref": "balajivaraprasad/titanic-classification", "kernel_id": "64701077"}, {"ref": "raquelilarri/titanic-machine-learning-from-disaster", "kernel_id": "64392937"}, {"ref": "tehreemkhan111/titanic-competition", "kernel_id": "64052698"}, {"ref": "jacobrho/titanic-ml-tutorial", "kernel_id": "64204606"}, {"ref": "marianarugevargas/titanic-s-challenge-solved", "kernel_id": "64169823"}, {"ref": "mayankkathane/pandas-profiling", "kernel_id": "64224483"}, {"ref": "remydawson/titanic-v1-0", "kernel_id": "64547801"}, {"ref": "alejandromatias/getting-started-with-titanic", "kernel_id": "64360792"}, {"ref": "inbeomha/svm-model-for-titanic", "kernel_id": "64885815"}, {"ref": "temkas/titanic-survival-prediction", "kernel_id": "64368439"}, {"ref": "awaisabbas1234/titanic", "kernel_id": "64375753"}, {"ref": "tolgakarakurt12/titanic-competition", "kernel_id": "64719249"}, {"ref": "uditmathur26/udit-titanic-machine-learning-disaster", "kernel_id": "64341999"}, {"ref": "rupeshpabba/titanic-machine-learning-survival-prediction", "kernel_id": "64378812"}, {"ref": "janitjindal/titanic-log-randomforestclassifier", "kernel_id": "64406934"}, {"ref": "akinniyiakinwande/titanic-survival-prediction", "kernel_id": "64389651"}, {"ref": "hansakatharanga/notebook845ca8c855", "kernel_id": "64840812"}, {"ref": "tobyvincent/descriptivestatistics", "kernel_id": "64001762"}, {"ref": "tobyvincent/notebook5e2d3eb33c", "kernel_id": "64041219"}, {"ref": "husseinalma/dsf-day-4-titanic-supervised", "kernel_id": "64568097"}, {"ref": "muhammedateffkoshy/prediction-and-eda-tutorial-on-titanic", "kernel_id": "64152078"}, {"ref": "lorenzy/apply-29-ml-models-eda-for-titanic", "kernel_id": "64093400"}, {"ref": "hanaelfar/titanic-ml", "kernel_id": "64155421"}, {"ref": "anmatngu/titanic-survival-prediction-with-h2o-automl", "kernel_id": "64032377"}, {"ref": "sohamndeshmukh/titanic-disaster-prediction", "kernel_id": "64499951"}, {"ref": "keshabkkumar/titanic-machine-learning-from-disaster-solution", "kernel_id": "64654751"}, {"ref": "mihirshah218/notebook9a66db0571", "kernel_id": "64579965"}, {"ref": "vishalgat1232/hypothesis-testing-single-sample-t-test", "kernel_id": "64220659"}, {"ref": "vishalgat1232/hypothesis-testing-independence-2-sample-test", "kernel_id": "64228037"}, {"ref": "simbarashemutyambizi/titanic-competition", "kernel_id": "64293435"}, {"ref": "maulanawirayudha/titanic-supervised-with-rf-lr-and-svm", "kernel_id": "64568509"}, {"ref": "rahaffayez/taitanic-classification", "kernel_id": "64333223"}, {"ref": "arnavmishra6996/master-h2o-automl-effortless-model-building", "kernel_id": "64548343"}, {"ref": "chancholkumarmodok/eda-using-univariate-analysis", "kernel_id": "64218147"}, {"ref": "chancholkumarmodok/understanding-your-data", "kernel_id": "64216060"}, {"ref": "melindaazzahra/dsf-30-0-melinda", "kernel_id": "64630267"}, {"ref": "gugasth/titanic", "kernel_id": "64272571"}, {"ref": "songliu1/predicting-titanic-survival-using-five-algorithms", "kernel_id": "64217717"}, {"ref": "aicoder2033/titanic-data-prediction-xgbclassifier", "kernel_id": "64458600"}, {"ref": "eraycokun/fork-of-kodlar-m-titanic", "kernel_id": "64548433"}, {"ref": "umeshk10/chi-square-test-feature-selection-on-titanic-data", "kernel_id": "64137768"}, {"ref": "somiafight/getting-started-with-titanic", "kernel_id": "64910948"}, {"ref": "mennatullahelzarqa/titanic-disaster-competition", "kernel_id": "64603504"}, {"ref": "clemwo/competition-titanic", "kernel_id": "64375029"}, {"ref": "abdomohameddd/notebookd83f49d0d1", "kernel_id": "64776199"}, {"ref": "debottambhowmick/hypothesis-testing-t-test", "kernel_id": "64968507"}, {"ref": "emiliocimino95/kaggle-titanic-ml-challenge-analysis-xai", "kernel_id": "64931016"}, {"ref": "dhairyajeetsingh/titanic-survival-predictions", "kernel_id": "64784980"}, {"ref": "mazensafty/titanic-prediction", "kernel_id": "64162385"}, {"ref": "umeradnaan/titanic", "kernel_id": "64225785"}, {"ref": "abdullahasiff/titanic-submission", "kernel_id": "64937565"}, {"ref": "pruthakulkarni/titanic", "kernel_id": "64365184"}, {"ref": "harshvir04/titanic-logistic-regression", "kernel_id": "64978313"}, {"ref": "pauldunlea/notebook6a774b7fdd", "kernel_id": "64150579"}, {"ref": "eslammohamed101/notebook42551c488b", "kernel_id": "64403820"}, {"ref": "ahmedfathygwely/titanic-eda-ml", "kernel_id": "64014275"}, {"ref": "rajsharmakara/titanic-2", "kernel_id": "64274485"}, {"ref": "rayanelamlaika/titanic-dataset", "kernel_id": "64851397"}, {"ref": "fgvbdrfghb/titanic-survival", "kernel_id": "64204318"}, {"ref": "josmiguelvilches/titanic", "kernel_id": "64013724"}, {"ref": "sjoerdvandorp/attempt-1", "kernel_id": "64230648"}, {"ref": "muratgrgl/all-models-with-gridsearchcv", "kernel_id": "64883081"}, {"ref": "eslamyasser1/notebook6dbf3a327a", "kernel_id": "64456598"}, {"ref": "maudarnaud/project-02-titanic", "kernel_id": "64524201"}, {"ref": "duygujones/titanic-prediction-advanced-ensemble-ml-models", "kernel_id": "64273711"}, {"ref": "igoralexander1984/titanic-survival-data-set-cross-validation", "kernel_id": "64306980"}, {"ref": "darebaaz/notebook1af931b232", "kernel_id": "64932232"}, {"ref": "ahmedhamdydiab/titanic-binary-classification", "kernel_id": "64942964"}, {"ref": "saleepshrestha/titanic-prediction-using-regression", "kernel_id": "64785804"}, {"ref": "shahane806/titanic", "kernel_id": "64191918"}, {"ref": "daniloromualdocriz/titanic-ml-eda", "kernel_id": "64120671"}, {"ref": "luisbertoli/titanic-experiment", "kernel_id": "64180057"}, {"ref": "shitichowdhury/titanic-linearregresion", "kernel_id": "64348207"}, {"ref": "zainabgalal/titanic-prediction-svc-knn-ensemble", "kernel_id": "64400899"}, {"ref": "sonwin111/notebook4c3e1758ec", "kernel_id": "64376185"}, {"ref": "pasqualecasciano/titanic-predicts-with-kan", "kernel_id": "64658110"}, {"ref": "yaramahrous/titanic-preprocessing", "kernel_id": "64794662"}, {"ref": "ridanouri/titanic-project", "kernel_id": "64837316"}, {"ref": "nargeskurkani/titanicanalysis", "kernel_id": "64401645"}, {"ref": "yussufkadir/titanic-survival-prediction-with-svc", "kernel_id": "64205237"}, {"ref": "he186309trungkin/knowledge-graph", "kernel_id": "64801553"}, {"ref": "aryah88/notebook76a2b9971e", "kernel_id": "64948306"}, {"ref": "omoyoladavid/exercise-arithmetic-and-variables", "kernel_id": "64893620"}, {"ref": "thererealareyou/titanic", "kernel_id": "64380214"}, {"ref": "mohamedelkhateb1/titanic-data-analysis", "kernel_id": "64135826"}, {"ref": "emin1n/titanic", "kernel_id": "64338022"}, {"ref": "lamrotibsa/titanic-prediction", "kernel_id": "64706165"}, {"ref": "mahmudulhasanbadhan/titanic-survival-prediction-with-lightgbm", "kernel_id": "64753220"}, {"ref": "shahbodsobhkhiz/titanic-machine-learning-from-disaster", "kernel_id": "64567027"}, {"ref": "pradeepkumar1994/titanic", "kernel_id": "64365402"}, {"ref": "mahmoudemadabdallah/titanic-classification", "kernel_id": "64214161"}, {"ref": "tathastughosh/eda-and-logistic-regression-based-on-titanic-data", "kernel_id": "64726381"}, {"ref": "shahdmohamed1/taitanic-classification", "kernel_id": "64457173"}, {"ref": "mido0salah/titanic-survived-prediction", "kernel_id": "64140525"}, {"ref": "atharishrakmahir/titanic-for-beginner-improved", "kernel_id": "64812625"}, {"ref": "hammadnasir12/tittanic-predictions", "kernel_id": "64092602"}, {"ref": "ajfaisal002/1st-comp-titanic", "kernel_id": "64324607"}, {"ref": "dipmajumder/dip-kumar-majumder-24-07-24-lab-assignment-1", "kernel_id": "64959104"}, {"ref": "shukantpal/titantic", "kernel_id": "64314450"}, {"ref": "erenustatozdemir/titanic-competition-xgb", "kernel_id": "64144292"}, {"ref": "ahnafshahadattaseen/titanic", "kernel_id": "64618417"}, {"ref": "abdelrahmanhafez1/titanic-survival", "kernel_id": "64258849"}, {"ref": "sinyeesim/2-titanic-survival-prediction-classification", "kernel_id": "64295688"}, {"ref": "owaisahsen/exercise-arithmetic-and-variables", "kernel_id": "64223924"}, {"ref": "aydnatalkaya/titanic-survival-logistic-regression", "kernel_id": "64347642"}, {"ref": "mahimabhatnagar123/titanic-modelling", "kernel_id": "64349119"}, {"ref": "atefwahba/titanic-analysis", "kernel_id": "64190508"}, {"ref": "shaghayeghamandar/titanic-data", "kernel_id": "64493403"}, {"ref": "filippogotta/titanic-ridge-regression-road-to-0-8", "kernel_id": "64302849"}, {"ref": "thebreaker49/simple-logistic-regression-titanic-example", "kernel_id": "64342355"}, {"ref": "thomasleumann/fastai-lesson-6a-random-forests", "kernel_id": "64246059"}, {"ref": "thomasleumann/fastai-lesson-5b-use-a-framework", "kernel_id": "64246001"}, {"ref": "thomasleumann/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "64245255"}, {"ref": "harishchand83077/titanic-dataset-survived", "kernel_id": "64218532"}, {"ref": "madhuraatmarambhagat/titanic", "kernel_id": "64295477"}, {"ref": "furkanatakul/titanicproject", "kernel_id": "64533562"}, {"ref": "taisukemorita03/notebook895b8cf785", "kernel_id": "64114581"}, {"ref": "jnvibhrdwj/titanic-nb", "kernel_id": "64653120"}, {"ref": "gchandna97/titanic-dataset", "kernel_id": "64663278"}, {"ref": "aimohamed123/titanic-submision", "kernel_id": "64401769"}, {"ref": "monahany1234/notebook2abfc8e65a", "kernel_id": "64401802"}, {"ref": "mostafafathy102/notebook45c7785080", "kernel_id": "64401804"}, {"ref": "objenzh/titanic-data", "kernel_id": "64392743"}, {"ref": "shamekhing/titanic-binaryclassification-pytorch", "kernel_id": "64353527"}, {"ref": "rudenkobogdan/dl-network-example-titanic", "kernel_id": "64403181"}, {"ref": "rudenkobogdan/xgbclassifier-with-optuna-example", "kernel_id": "64401654"}, {"ref": "adityanarlagiri/titanic-survival-ml-code", "kernel_id": "64417624"}, {"ref": "mavbeyaz/machinelearningtitanic63", "kernel_id": "64127311"}, {"ref": "mitsuharuarimura/getting-started-with-titanic", "kernel_id": "64801875"}, {"ref": "jakubkhalponiak/my-aproach-to-the-titanic-competition", "kernel_id": "64774020"}, {"ref": "vedantpol/top1-solution", "kernel_id": "64375300"}, {"ref": "bowiechong/exercise-arithmetic-and-variables", "kernel_id": "64705799"}, {"ref": "supratimmoulick/supratim-24-07-2024-lab-assignment-1", "kernel_id": "64230348"}, {"ref": "baijantidalal/baijanti-dalal-lab-assignment-24-07-24", "kernel_id": "64934173"}, {"ref": "falgunichakraborty/getting-start-with-titanic-dataset-by-haris", "kernel_id": "64053407"}, {"ref": "ydywegu8hw6s/starting-ml-with-titanic-dd", "kernel_id": "64515474"}, {"ref": "ukanmt/fork-of-notebook-for-titanic-3", "kernel_id": "64718548"}, {"ref": "rajivsub/titanic-classification-models", "kernel_id": "64587679"}, {"ref": "amnamahboob123/titanicdatasubmissionamnamahboob", "kernel_id": "64953703"}, {"ref": "glcerenyldz/titanic-data-visualization", "kernel_id": "64450708"}, {"ref": "netrasangani/titanic-data-analysis-final", "kernel_id": "64175526"}, {"ref": "pavellustov/gettingstartingwithtitanicpl", "kernel_id": "64783588"}, {"ref": "ariamashhoodi/titanic", "kernel_id": "64413373"}, {"ref": "alperhakl/titanic-eda", "kernel_id": "64180067"}, {"ref": "anirbansatapathi/titanicrandomforestclassifier", "kernel_id": "64369912"}, {"ref": "vinaykhatri12/decisiontree", "kernel_id": "64888734"}, {"ref": "prafuljohn/titanic-solution", "kernel_id": "64403444"}, {"ref": "bilgejinnen/learn4madisaster", "kernel_id": "64253427"}, {"ref": "pekkutlu/titanic-data", "kernel_id": "64714064"}, {"ref": "somrrome/notebook475f8fa55a", "kernel_id": "64532262"}, {"ref": "sudesahinhera/titanicc", "kernel_id": "64332231"}, {"ref": "emresevik/titanicdisaster", "kernel_id": "64158157"}, {"ref": "gingaohishi/notebook", "kernel_id": "64056936"}, {"ref": "gingaohishi/eda-note", "kernel_id": "64120764"}, {"ref": "gingaohishi/eda-notebook", "kernel_id": "64161487"}, {"ref": "anishupreti2002/ml-project-getting-started-with-titanic", "kernel_id": "64306278"}, {"ref": "muhammetsnac/titanic-machine-learning-0-86", "kernel_id": "64194365"}, {"ref": "ahmedshl/titanic-eda-prodigy-infortech-internship", "kernel_id": "64259629"}, {"ref": "shubham2309/titanic", "kernel_id": "64261737"}, {"ref": "jjgwing/titanic-random-forest-0-7895-at-submission", "kernel_id": "64755118"}, {"ref": "sigma1987/fork-of-titanic-comp", "kernel_id": "64329262"}, {"ref": "jeynii/titanic-book", "kernel_id": "64906907"}, {"ref": "nicenewton/titanicpred", "kernel_id": "64311402"}, {"ref": "mythilyarasu/titanic", "kernel_id": "64326115"}, {"ref": "a7medelgo7ary/titanic-machine-learning-from-disaster", "kernel_id": "64514914"}, {"ref": "a7medelgo7ary/exercise-arithmetic-and-variables", "kernel_id": "64442895"}, {"ref": "tanisha50/titanic-dataset-1st", "kernel_id": "64773005"}, {"ref": "sebastianmajkowski/getting-started-with-titanic", "kernel_id": "64377409"}, {"ref": "seanchenxinyu/getting-started-with-titanic-survival", "kernel_id": "64817763"}, {"ref": "sallimaseptianita/titanic-who-survived", "kernel_id": "64510526"}, {"ref": "yasserahmed100/notebook1a012bce2c", "kernel_id": "64443796"}, {"ref": "parteekxo/titanic-by-akash", "kernel_id": "64499431"}, {"ref": "emadsalah100/notebook9e4434703f", "kernel_id": "64461061"}, {"ref": "mohamedessam100/notebook579d647c12", "kernel_id": "64527023"}, {"ref": "wahyuroysaputra36/eda-to-prediction-dietanic", "kernel_id": "64535993"}, {"ref": "marammohamedali/notebook20b156d9fa", "kernel_id": "64562346"}, {"ref": "trispark/getting-started-with-titanic", "kernel_id": "64990958"}, {"ref": "vaibhavsingh00/titanic-disaster", "kernel_id": "64724471"}, {"ref": "blessingadams/exercise-arithmetic-and-variables", "kernel_id": "64771850"}, {"ref": "lammyos/exercise-arithmetic-and-variables", "kernel_id": "64771667"}, {"ref": "wuhuaxu/titanic", "kernel_id": "64805516"}, {"ref": "sarittheppitak/titanic-1st-time-on-kaggle", "kernel_id": "64903483"}, {"ref": "mehtaswati/test-run", "kernel_id": "64911038"}, {"ref": "dandendalzgar/titanic-pipeline-gridsearch-preds-comments", "kernel_id": "64988324"}, {"ref": "natsuhiroichinose/simpletitanic", "kernel_id": "64994922"}, {"ref": "adisak/notebookd94908d7ca", "kernel_id": "65302544"}, {"ref": "arpitagupta16/titanic-data-eda", "kernel_id": "65169544"}, {"ref": "rockiecao/pss4e9-usedcarpriceregression-lgbm-optuna", "kernel_id": "65086845"}, {"ref": "bugra10ur/titanic-survival-prediction-end-to-end-ml-pipeline", "kernel_id": "65748200"}, {"ref": "aminojaghi1993/fast-ai-nb6-linear-model-and-nn-from-scratch", "kernel_id": "65900586"}, {"ref": "aminojaghi1993/fast-ai-nb7-why-you-should-use-a-framework", "kernel_id": "65900592"}, {"ref": "aminojaghi1993/fast-ai-nb8-how-random-forests-really-work", "kernel_id": "65900601"}, {"ref": "dequadras/super-fast-eda", "kernel_id": "65590565"}, {"ref": "emphymachine/lges-ba-2024-2-8-pandas-101", "kernel_id": "65202754"}, {"ref": "emphymachine/lges-ba-2024-2-11-linear-algebra-practice", "kernel_id": "65319662"}, {"ref": "emphymachine/lges-ba-2024-2-15-titanic-survivor-prediction", "kernel_id": "65504435"}, {"ref": "aimazin/getting-started-with-titanic", "kernel_id": "65476697"}, {"ref": "sapna7/python-for-data-3-basic-data-types", "kernel_id": "65723675"}, {"ref": "aishwaryapatil2/handle-missing-values-numerical-data", "kernel_id": "65584225"}, {"ref": "aishwaryapatil2/handle-categorical-data-few-categories-in-a-column", "kernel_id": "65947712"}, {"ref": "jonathanpatta/titanic-data-science-solutions", "kernel_id": "65880765"}, {"ref": "vinvel/titanic-data-science-solutions", "kernel_id": "65881136"}, {"ref": "vilquer/elt-579-118781-problema-da-semana-1", "kernel_id": "65297017"}, {"ref": "akhilsangaonkar/titanic-prediction-with-stacking-classifier-77-51", "kernel_id": "65084661"}, {"ref": "mahmoudalaa22210/titanic-ml-from-disaster", "kernel_id": "65165423"}, {"ref": "deebthikravi/titanic-data-science-solutions", "kernel_id": "65872508"}, {"ref": "tnareshkumar/titanic-survival-with-randomforest-82", "kernel_id": "65931572"}, {"ref": "dantiedameto/notebook11038b6a6f", "kernel_id": "65562231"}, {"ref": "cahyowicaksono/titanic-dataset-analysis", "kernel_id": "65563295"}, {"ref": "khosiyatsabirova/titanicsurvival-multi-algorithm-model", "kernel_id": "65439168"}, {"ref": "rafaelrangel/titanic-machine-learning-from-disaster-pycaret", "kernel_id": "65191093"}, {"ref": "shreyaspj/dm-hw1", "kernel_id": "65617099"}, {"ref": "leo21892/titanic-machine-learning-from-disaster", "kernel_id": "65912957"}, {"ref": "ahmedgulabkhan/titanic-data-science-improved-ahmed-gulab-khan", "kernel_id": "65885806"}, {"ref": "ahmedgulabkhan/titanic-data-science-ahmed-gulab-khan", "kernel_id": "65871787"}, {"ref": "chenkuanchung/titanic", "kernel_id": "65320614"}, {"ref": "hakanelik/titanic", "kernel_id": "65310728"}, {"ref": "sammpk/titanic-project", "kernel_id": "65889425"}, {"ref": "inbeomspring/svm-titanic-prediction-240902", "kernel_id": "65123324"}, {"ref": "debusa/titanic-dataset-analysis-deb", "kernel_id": "65891443"}, {"ref": "mustafacivici/titanicprediction-with-ml-and-dl-solutions", "kernel_id": "65951574"}, {"ref": "sangeeth29/improved-titanic-data-science-solutions-sangeeth-s", "kernel_id": "65875987"}, {"ref": "sangeeth29/titanic-data-science-solutions", "kernel_id": "65781290"}, {"ref": "aayushchowdhury/aayush-submission-1", "kernel_id": "65786774"}, {"ref": "bcscuwe1/feature-engineering", "kernel_id": "65227796"}, {"ref": "rezashokrzad/w4-s4-titanic-xgboost", "kernel_id": "65603207"}, {"ref": "mostafamohmed/titanic", "kernel_id": "65954803"}, {"ref": "immuhammadumair/eda-to-prediction-dietanic", "kernel_id": "65004013"}, {"ref": "wenzhechen/notebook5ccbf5d1a0", "kernel_id": "65507107"}, {"ref": "datajules/ensambles", "kernel_id": "65974729"}, {"ref": "samithsachidanandan/getting-started-with-titanic", "kernel_id": "65712095"}, {"ref": "brian423/titanic-competition", "kernel_id": "65607408"}, {"ref": "sezgiesen/titanic-homework", "kernel_id": "65282724"}, {"ref": "anwoybarua/all-feature-selection-techniques", "kernel_id": "65061277"}, {"ref": "njokimwihaki/titanic-survivor-chance", "kernel_id": "65842684"}, {"ref": "neel1603/neel-nirajkumar-shah", "kernel_id": "65868590"}, {"ref": "neel1603/improve-neel-nirajkumar-shah", "kernel_id": "65869651"}, {"ref": "rishavwalde/titanic-dataset-analysis-and-modelling", "kernel_id": "65055191"}, {"ref": "jeffersonarcos/tutorial-basico-de-matplotlib", "kernel_id": "65200706"}, {"ref": "erykwitkowski/titanic-notebook", "kernel_id": "65406456"}, {"ref": "vizgraffito/titanic-single-sample-t-test", "kernel_id": "65482777"}, {"ref": "vizgraffito/titanic-2-sample-t-test", "kernel_id": "65495908"}, {"ref": "vizgraffito/notebook45bc95f7e9", "kernel_id": "65208137"}, {"ref": "vaishnavikalkute/titanic-disaster-random-forest", "kernel_id": "65424538"}, {"ref": "piyushnagrale/notebookd55d31c00f", "kernel_id": "65170056"}, {"ref": "aruzhanamanova/assignment1", "kernel_id": "65804263"}, {"ref": "kavyarpatel/titanic-data-science-solutions-af91d2", "kernel_id": "65869058"}, {"ref": "constantin2508/titanic-kv", "kernel_id": "65293286"}, {"ref": "omardozer/titanic", "kernel_id": "65334551"}, {"ref": "rahmasleam/titanic-using-ml", "kernel_id": "65829185"}, {"ref": "cokeane/titanic-data-science-solutions", "kernel_id": "65788316"}, {"ref": "rakibhossainsajib/titanic-survival-prediction-with-machine-learning", "kernel_id": "65782435"}, {"ref": "nhsdkk/notebook", "kernel_id": "65968360"}, {"ref": "ojusjaiswal/titanictutorial", "kernel_id": "65363591"}, {"ref": "ojusjaiswal/exercise-arithmetic-and-variables", "kernel_id": "65363153"}, {"ref": "abhishekbhujang/titanic-survival-pred", "kernel_id": "65382124"}, {"ref": "sevgisr/asaf-odev", "kernel_id": "65245218"}, {"ref": "inbeomha/svm-titanic-prediction-240902", "kernel_id": "65211698"}, {"ref": "pedrorizquez/ironhack-activity2day3", "kernel_id": "65967629"}, {"ref": "zlemdilekacar/titanic-eda", "kernel_id": "65057252"}, {"ref": "amthesrn/deep-learning-model-comparison", "kernel_id": "65448689"}, {"ref": "arvikj/titanic-data-science-solutions", "kernel_id": "65873678"}, {"ref": "arvikj/titanic-data-science-solutions-improved", "kernel_id": "65886392"}, {"ref": "zhiquanlu/titanic-survival-prediction", "kernel_id": "65833742"}, {"ref": "vaibhavsanepara/titanic", "kernel_id": "65126197"}, {"ref": "darshakofficial/ml-on-titanic-data", "kernel_id": "65958284"}, {"ref": "allthumbs/titanic-competition-w-tensorflow-decision-97b7eb", "kernel_id": "65326444"}, {"ref": "davidcuenca/notebook75dde69661", "kernel_id": "65722511"}, {"ref": "davidcuenca/david-titanic", "kernel_id": "65525764"}, {"ref": "alialawneh/titanic-ml-project", "kernel_id": "65876498"}, {"ref": "onionring30/a-guide-to-handling-missing-values-in-python", "kernel_id": "65937886"}, {"ref": "jonathansauer/classification-svm-0-78-titanic", "kernel_id": "65441986"}, {"ref": "tenghuanghsuen/titanic-data-science-solutions", "kernel_id": "65880154"}, {"ref": "erdemta/logistic-regression-advertisement-dataset", "kernel_id": "65229527"}, {"ref": "rumeysakarayilan/rumeysa-titanic-eda", "kernel_id": "65679929"}, {"ref": "krishnadas15/simple-machine-learning-analysis-titanic", "kernel_id": "65002179"}, {"ref": "lucasblockm/titanic-feature-augmentation-model-comparison", "kernel_id": "65781585"}, {"ref": "christina0626/titanic-top-solution", "kernel_id": "65564157"}, {"ref": "chubar/2001207195-th6", "kernel_id": "65927464"}, {"ref": "lowkyavuppu/titanic-data-science-solutions", "kernel_id": "65781406"}, {"ref": "nehatirunagiri/ai201xlab1", "kernel_id": "65737077"}, {"ref": "ismail89/titanic-classification-lgbm", "kernel_id": "65585543"}, {"ref": "latypovramil/titanic-weighted-ensemble-with-hpo-example", "kernel_id": "65364753"}, {"ref": "vtrnquang/2001207141-th6", "kernel_id": "65927840"}, {"ref": "tinmaicng/2001202265-th6", "kernel_id": "65928030"}, {"ref": "ejoukou/coursework", "kernel_id": "65898516"}, {"ref": "avdeyfurmanyuk/titanic-77-need-help", "kernel_id": "65185278"}, {"ref": "mhamedadnan/titanic-data-analysis", "kernel_id": "65690071"}, {"ref": "mostafakhaled111/titank-first-project", "kernel_id": "65329232"}, {"ref": "bencyera/kaggle-practice-titanic", "kernel_id": "65162227"}, {"ref": "ndkvin/titanic", "kernel_id": "65159642"}, {"ref": "felipebocajr/titanic-challenge", "kernel_id": "65693045"}, {"ref": "mahmoudelshabrawy/titanic-from-data-to-predictions", "kernel_id": "65617287"}, {"ref": "vietkhanhle/2001202115-th6", "kernel_id": "65928832"}, {"ref": "zahraaminraya/titanic-comp", "kernel_id": "65853013"}, {"ref": "vivekkmr07/titanic-machine-learning-from-disaster", "kernel_id": "65886744"}, {"ref": "ayushidesai54/titanic-data-science-solutions", "kernel_id": "65871427"}, {"ref": "yoonjungeo/svm-titanic-prediction-240902-788162", "kernel_id": "65509920"}, {"ref": "kimjaeyoung96/svm-titanic-prediction-240902", "kernel_id": "65517664"}, {"ref": "utkarshdev047/titanic-svc-score-0-77272", "kernel_id": "65789750"}, {"ref": "utkarshdev047/titanic-randomforest-score-0-77511", "kernel_id": "65793049"}, {"ref": "ilayeesade/titaniccompetition-eda-random-forest-gridsearch", "kernel_id": "65545808"}, {"ref": "kruthikakbhat/complete-eda-for-titanic", "kernel_id": "65340454"}, {"ref": "zarnainsyed0/numpy-neuralnetworks-fprop-bprop", "kernel_id": "65839023"}, {"ref": "zarnainsyed0/nothing-easier-than-neural-networks", "kernel_id": "65795925"}, {"ref": "zarnainsyed0/multi-layer-perceptron-classifier", "kernel_id": "65931673"}, {"ref": "zarnainsyed0/simple-eda-logistic-regression", "kernel_id": "65325564"}, {"ref": "zarnainsyed0/gridsearchcv-logreg-nb-xgb-svc", "kernel_id": "65465400"}, {"ref": "zarnainsyed0/simple-randomforest-titanic-competition", "kernel_id": "65214447"}, {"ref": "djenanenihadia/titanic-machine-learning-from-disaster", "kernel_id": "65528766"}, {"ref": "acchu99/titanic-data-science-solutions", "kernel_id": "65824126"}, {"ref": "raheematseidu/exercise-arithmetic-and-variables-ba26a6", "kernel_id": "65506225"}, {"ref": "alisaamiella/deep-neural-networks-from-scratch", "kernel_id": "65703838"}, {"ref": "mehmetkukrek/titanic-deeplearning-model", "kernel_id": "65581258"}, {"ref": "syedsanaulla/random-forest-classifier-score-0-77751", "kernel_id": "65457073"}, {"ref": "baseltarek/titanic-logistic-regression", "kernel_id": "65297294"}, {"ref": "aamritasinha/titanic-machine-learning-from-disaster", "kernel_id": "65809025"}, {"ref": "sherifsamyabdelkarem/titanic-analysis-classification", "kernel_id": "65148657"}, {"ref": "alexmonfort/alex-titanic", "kernel_id": "65544640"}, {"ref": "systematicguy/titanic-competition-soloution", "kernel_id": "65224566"}, {"ref": "wlu314/titanic-dataset", "kernel_id": "65738853"}, {"ref": "krishnabb01/titanic-survived-prediction", "kernel_id": "65692419"}, {"ref": "abdullah0a/predicting-titanic-survival-for-beginner", "kernel_id": "65033232"}, {"ref": "nadamo21/eda-visualization", "kernel_id": "65309922"}, {"ref": "nadamo21/eda-models-with-81-accuracy", "kernel_id": "65239414"}, {"ref": "assel01/hw1-ai-ml", "kernel_id": "65761068"}, {"ref": "rajiblochanpramanik/titanic-death-predictor", "kernel_id": "65193997"}, {"ref": "trandinhbien/2001215627-th-bt6", "kernel_id": "65927612"}, {"ref": "lalitsudhir/titanic-data-science-solutions", "kernel_id": "65879312"}, {"ref": "nguynhul/2001215949-th6", "kernel_id": "65940004"}, {"ref": "georgeissa/titanic-cleaning", "kernel_id": "65408084"}, {"ref": "georgeissa/titanic-analysis", "kernel_id": "65447804"}, {"ref": "chiendanghuu/2001215634-danghuuchien-bth6", "kernel_id": "65938608"}, {"ref": "mohamedyasser2003/notebook6e09a42bd5", "kernel_id": "65581287"}, {"ref": "hhhung20/2001215835-th6", "kernel_id": "65927681"}, {"ref": "hanam107/btth6-2001210087", "kernel_id": "65937634"}, {"ref": "kartik3pandey/notebook6079fc9ca3", "kernel_id": "65820200"}, {"ref": "martamuria/notebook-titanic-lab-ironhack", "kernel_id": "65526476"}, {"ref": "quan30/2001216084-thaihoangquan-th6", "kernel_id": "65937379"}, {"ref": "josmaramanzanoortega/titanic-random-forests-top-4", "kernel_id": "65452118"}, {"ref": "kiranmaimrudulav/titanic-data-science-solutions", "kernel_id": "65862397"}, {"ref": "phatnee/2001210216-th6", "kernel_id": "65935083"}, {"ref": "haihaihai123/2001210571-th6", "kernel_id": "65937427"}, {"ref": "n09nikhil/best-titanic-model-for-beginners", "kernel_id": "65726200"}, {"ref": "lamtandat/2001215699-bai-thuc-hanh-tuan-6", "kernel_id": "65937677"}, {"ref": "laurenainsleyhaines/survival-prediction-with-ensembling", "kernel_id": "65065459"}, {"ref": "atalayaygl/my-first-competition-titanic", "kernel_id": "65077611"}, {"ref": "michueth/mh-titanic", "kernel_id": "65843911"}, {"ref": "raditfr/titanic-dibimbing-id", "kernel_id": "65035407"}, {"ref": "dimabutko/titanic-random-forest", "kernel_id": "65714444"}, {"ref": "manideep1718/titanic-data-science-solutions-clone", "kernel_id": "65875956"}, {"ref": "manideep1718/titanic-data-science-solutions", "kernel_id": "65872327"}, {"ref": "firatozen/titanic-survival-prediction-86-59-accuracy", "kernel_id": "65147737"}, {"ref": "krmayank23/titanic-dataset", "kernel_id": "65859460"}, {"ref": "kunjadiyarohit/clt-titanic", "kernel_id": "65839371"}, {"ref": "kunjadiyarohit/single-sample-t-test", "kernel_id": "65941318"}, {"ref": "sujansupraj2000/getting-started-with-titanic-dataset", "kernel_id": "65293729"}, {"ref": "sahil19051998/titanic-myfirstproject", "kernel_id": "65969546"}, {"ref": "lakshyaaryan1/submission1-basic-conceptual-easy-to-understand", "kernel_id": "65026890"}, {"ref": "aliciamb/notebook1f51c6da03", "kernel_id": "65495787"}, {"ref": "nazmussakib896/titanic-decision-tree", "kernel_id": "65358833"}, {"ref": "pmichampion/new-vladislav-titanic", "kernel_id": "65444246"}, {"ref": "adityapandey12/titanic-2-sample-t-test", "kernel_id": "65493362"}, {"ref": "beforeend/titanic", "kernel_id": "65845462"}, {"ref": "omprajapati115/notebook91f696c9b9", "kernel_id": "65602784"}, {"ref": "mayquynh/2001216101-th6", "kernel_id": "65937617"}, {"ref": "pranaych100/titanic-using-xgboost", "kernel_id": "65717041"}, {"ref": "afreenhossain/titanic-competition", "kernel_id": "65990850"}, {"ref": "sayanroy11/titanic-notebook", "kernel_id": "65030662"}, {"ref": "miradoan/titanic-work", "kernel_id": "65161390"}, {"ref": "jannikschinkel/titanic-supervised-machine-learning", "kernel_id": "65345653"}, {"ref": "anflorentino2k3/2001215587-nguyenvanduyan-b6", "kernel_id": "65930094"}, {"ref": "nguynngcminhpht/2001216024-nguyenngocminhphat-buoi6", "kernel_id": "65929972"}, {"ref": "phngnghilphan/2001210551-th6", "kernel_id": "65928790"}, {"ref": "lamhoame/48-01-104-090", "kernel_id": "65566522"}, {"ref": "cartoonistbeard/titanicensemble-score-0-78708", "kernel_id": "65633071"}, {"ref": "phamthithanhtinh/2001216218-th6", "kernel_id": "65937482"}, {"ref": "hwbw1202/2001215823-th6", "kernel_id": "65928298"}, {"ref": "anhtngdbdsb/2001216269-th6", "kernel_id": "65937983"}, {"ref": "znurpaahan/titanic-classification-model-ipynb", "kernel_id": "65037960"}, {"ref": "bhuveshkodopi/notebookb5eb07eda9", "kernel_id": "65908080"}, {"ref": "abdullahabuslama/titanic-data-cleaning-visualization-and-modeling", "kernel_id": "65410883"}, {"ref": "metinhsimimi/titanic-eda-classificatin-deep-learning", "kernel_id": "65313827"}, {"ref": "phuongnhuphat/bth6-phuongnhuphat-2001216029", "kernel_id": "65928213"}, {"ref": "herstory0621/titanic-a-step-by-step-intro-to-machine-le-dd6c1c", "kernel_id": "65875444"}, {"ref": "netprotony/2001215850-th6", "kernel_id": "65928130"}, {"ref": "mdshoaibabdullahkhan/titanic-survivour-prediction", "kernel_id": "65259597"}, {"ref": "aditya957588/eda-titanic-dataset", "kernel_id": "65390498"}, {"ref": "mohamedmagdyrizk/titnic-exploration-cleaning-and-visualization", "kernel_id": "65534509"}, {"ref": "phamduyanh/2001210974-th6", "kernel_id": "65927454"}, {"ref": "qungthianh/2001210241-th6", "kernel_id": "65937597"}, {"ref": "yuasaiko/titanic-first-yuasaiko", "kernel_id": "65955975"}, {"ref": "m040227mk/titanic-data-set", "kernel_id": "65354848"}, {"ref": "yearner/optuna-randomforestclassifier", "kernel_id": "65805729"}, {"ref": "shameerhussain5817/titanic-project", "kernel_id": "65434884"}, {"ref": "thunminh26/2001210752-th6", "kernel_id": "65937453"}, {"ref": "nguyenvian0529/nguyenvian-2001210529-th6", "kernel_id": "65927510"}, {"ref": "phanthanhhung/2001215839-th6", "kernel_id": "65927470"}, {"ref": "hihi23/2001210345-bt6", "kernel_id": "65937667"}, {"ref": "zafarali27/exercise-arithmetic-and-variables-1", "kernel_id": "65051679"}, {"ref": "zafarali27/titanic-voting-classifier", "kernel_id": "65722133"}, {"ref": "schimityy/arndt-schimit-thiago-tp-06-09", "kernel_id": "65350718"}, {"ref": "jakebraasch/jakebsubmission1", "kernel_id": "65600733"}, {"ref": "mahmoudweso/titanic-tutorial-with-accuracy-94", "kernel_id": "65143435"}, {"ref": "dnganhho/2001210323-th6", "kernel_id": "65937566"}, {"ref": "abhayprasannarao/ai201xlab1", "kernel_id": "65371939"}, {"ref": "ngthanhhai2003/2001210679-th6", "kernel_id": "65938704"}, {"ref": "leminhthuan3101/2001210547-th6", "kernel_id": "65928846"}, {"ref": "ducng123/2001215733-th6-nguyenanhduc", "kernel_id": "65928251"}, {"ref": "vongochai/2001210540-th6", "kernel_id": "65937462"}, {"ref": "daoquimui/2001215964-th6", "kernel_id": "65929756"}, {"ref": "phuongloan/nguyenphuongloan-2001215917-th6", "kernel_id": "65928735"}, {"ref": "nguyncnglun/2001210496-th6", "kernel_id": "65927616"}, {"ref": "phngannn/vuthiphuonganh-2001210587-th6", "kernel_id": "65929521"}, {"ref": "hiulngccc/2001215775-lengochieu-btth6", "kernel_id": "65928033"}, {"ref": "harshawasthi3167/getting-started-with-titanic", "kernel_id": "65380719"}, {"ref": "zgrumutpirin/titanic-competition-machine-learning-eda", "kernel_id": "65214232"}, {"ref": "alabkarimaths/titanic-prediction-late-submission", "kernel_id": "65357941"}, {"ref": "nghi03/2001210578", "kernel_id": "65927622"}, {"ref": "nguyntrnnhkha/2001210851-bt6", "kernel_id": "65939358"}, {"ref": "haltrng/2001210523-th6", "kernel_id": "65937916"}, {"ref": "phmctrng/2001210925-bttuan6", "kernel_id": "65938692"}, {"ref": "ngthanhtien/2001210222-nguyenthanhtien-th6", "kernel_id": "65927553"}, {"ref": "lehoainamsss/2033210989-th6", "kernel_id": "65950788"}, {"ref": "varunmohanta/better-titan", "kernel_id": "65325424"}, {"ref": "mmakarovlab/titanic-survival-prediction", "kernel_id": "65777112"}, {"ref": "josepablobarrantes/titanic-predictions-jose-barrantes-peor", "kernel_id": "65884714"}, {"ref": "josepablobarrantes/titanic-predictions-jose-barrantes-completo", "kernel_id": "65883650"}, {"ref": "josepablobarrantes/titanic-predictions-jose-barrantes-tf-0", "kernel_id": "65880965"}, {"ref": "trietp1253201581/titanic-machine-learning-from-disaster", "kernel_id": "65893881"}, {"ref": "ancy0105/titanic", "kernel_id": "65546192"}, {"ref": "youssef119120/titanic", "kernel_id": "65311162"}, {"ref": "ngodinhphu/2001210744-th06", "kernel_id": "65937407"}, {"ref": "mohamedalshamy/titanic-machine-learning-from-disaster", "kernel_id": "65263922"}, {"ref": "angshukmaity/titanic-machine-learning-using-linear-regression", "kernel_id": "65015651"}, {"ref": "atalayoguzkaan/titanic-model-opt", "kernel_id": "65404142"}, {"ref": "anacpricciardi/exercise-arithmetic-and-variables", "kernel_id": "65252640"}, {"ref": "elenaarenalbarrantes/titanic-1st-draft", "kernel_id": "65527158"}, {"ref": "nazazx/titanicdataanalized", "kernel_id": "65010474"}, {"ref": "nazazx/titanicdatasetanalize", "kernel_id": "65156615"}, {"ref": "georgehanyfouad/titanic-prediction-classification-and-analysis", "kernel_id": "65184595"}, {"ref": "cobaltblue122/pso-fs-svm-new-feature-selection", "kernel_id": "65040616"}, {"ref": "justinjayr/titanic-competition-with-xgb", "kernel_id": "65183056"}, {"ref": "nairaabdelhamed/submission1", "kernel_id": "65965673"}, {"ref": "ayushalodha/titanic", "kernel_id": "65260958"}, {"ref": "lmtinez/reto-titanic", "kernel_id": "65527618"}, {"ref": "saivinayakula/titanic-machine-learning-from-disaster", "kernel_id": "65433332"}, {"ref": "mephistophel2312/filling-in-the-age-through-regression", "kernel_id": "65441894"}, {"ref": "eaguilag/getting-started-with-titanic", "kernel_id": "65244135"}, {"ref": "tahirmehmood0/first-eda-titanic-dataset", "kernel_id": "65936547"}, {"ref": "johnphelix/notebookd4018023eb", "kernel_id": "65057164"}, {"ref": "felix333/titanic-survival-prediction", "kernel_id": "65816171"}, {"ref": "ritesharigala/titanic-problem-simplest-way", "kernel_id": "65218231"}, {"ref": "devodry/titanic-my-submission-notebook", "kernel_id": "65106629"}, {"ref": "lauraalmonacidp/ejercicio-titanic-laura-almonacid", "kernel_id": "65526879"}, {"ref": "sunitmodak/sunit-modak-lab-assignment1-28-08-2024", "kernel_id": "65054638"}, {"ref": "nafrasia/titanic-ml", "kernel_id": "65559260"}, {"ref": "egormcv/titanic-test-egor", "kernel_id": "65684708"}, {"ref": "shubhamverma760/titanic-v2", "kernel_id": "65044436"}, {"ref": "odedaravasta/pandas-tutorial", "kernel_id": "65166441"}, {"ref": "mohamdhussein/titanic-survive", "kernel_id": "65288743"}, {"ref": "kparthiban007/survival-prediction-in-titanic", "kernel_id": "65813215"}, {"ref": "tylerfernandes/getting-started-with-titanic", "kernel_id": "65319940"}, {"ref": "mukeshp8175/titanic-feature-engineering-survival-prediction", "kernel_id": "65091886"}, {"ref": "mahmoudasla/titanic-logistic-regression", "kernel_id": "65297296"}, {"ref": "omarabdelmonsef/feature-encoding", "kernel_id": "65673198"}, {"ref": "emresevik/titaniceda", "kernel_id": "65121361"}, {"ref": "iahmedzaki/simple-randomforest-titanic-competition", "kernel_id": "65427856"}, {"ref": "abhishridhar/titanic-prediction", "kernel_id": "65929331"}, {"ref": "muhamadshaban/titanic-competition", "kernel_id": "65666344"}, {"ref": "muhamadshaban/titanic-tutorial", "kernel_id": "65665759"}, {"ref": "voducdai/20012156688-th6", "kernel_id": "65928709"}, {"ref": "seanchenxinyu/titanic-eda", "kernel_id": "65321032"}, {"ref": "josephtk/titanic-eda-feature-engineering-model", "kernel_id": "65093194"}, {"ref": "girayasaf/titanic-dataset-analysis-who-really-had-the-best", "kernel_id": "65274953"}, {"ref": "senaeven/titanic-exploratory-data-analysis", "kernel_id": "65141379"}, {"ref": "acemalozdmr/titanic-ahmet-cemal", "kernel_id": "65332864"}, {"ref": "zongaobian/surviving-the-titanic-a-machine-learning-journey", "kernel_id": "65461661"}, {"ref": "thehammadishaq/titanic-machine-learning-from-disaster", "kernel_id": "65039489"}, {"ref": "vinciuscordeiro/titanic-ml-with-ensemble-stacking-achieving-80", "kernel_id": "65501235"}, {"ref": "abdullahajmal123/very-simple-logistic-regession", "kernel_id": "65953451"}, {"ref": "hehao111/titanic-starter-hehao", "kernel_id": "65096668"}, {"ref": "shreya04091/titanic", "kernel_id": "65104221"}, {"ref": "ashwanthsudheer/getting-started-with-titanic", "kernel_id": "65440537"}, {"ref": "matheusbonangelo/limpando-e-manipulando-dados-para-um-modelo", "kernel_id": "65050441"}, {"ref": "absconded01/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "65065011"}, {"ref": "zeinaabmohamed/clean-titanic", "kernel_id": "65996919"}, {"ref": "marcelus87/titanic-01", "kernel_id": "65182072"}, {"ref": "sss7890/notebookcc8c2d539f", "kernel_id": "65115778"}, {"ref": "anallewiersch/titanic", "kernel_id": "65353786"}, {"ref": "gabrielaabarbosa/titanic-gabriel-barbosa", "kernel_id": "65354670"}, {"ref": "aimaestro/titanic-competition-100-score", "kernel_id": "65180209"}, {"ref": "takarayusuke/titanic-2", "kernel_id": "65474246"}, {"ref": "bekameskhoradze/getting-started-with-titanic", "kernel_id": "65449414"}, {"ref": "eceakcelik/titanickaggle", "kernel_id": "65276948"}, {"ref": "shigeokitamura/titanic", "kernel_id": "65199641"}, {"ref": "thuanhuy/lab1-datamining", "kernel_id": "65206176"}, {"ref": "syedafatimasajid/titanic-p3-notebook", "kernel_id": "65396335"}, {"ref": "syedafatimasajid/titanic-p2", "kernel_id": "65387559"}, {"ref": "mnicafors/d3-lab-datos-digitales-mf", "kernel_id": "65243717"}, {"ref": "bridgetbates/final-titanic-project", "kernel_id": "65741008"}, {"ref": "bridgetbates/getting-started-with-titanic", "kernel_id": "65558261"}, {"ref": "johnburras/titanic-first-submission", "kernel_id": "65355028"}, {"ref": "kategira/kate-g-titanic-final-draft", "kernel_id": "65729611"}, {"ref": "shreshtaanupindi/titanic-notebook1", "kernel_id": "65742779"}, {"ref": "gavinsands/titanic-first-submission", "kernel_id": "65354836"}, {"ref": "zoeytiefenthaler/titanic-first-submission", "kernel_id": "65355031"}, {"ref": "schuylerridenour/titanic-first-submission", "kernel_id": "65355022"}, {"ref": "rodcoh/qui-n-sobrevivir-al-titanic-parte-b", "kernel_id": "65966794"}, {"ref": "isaacteller/titanic-first-sub", "kernel_id": "65355017"}, {"ref": "isaacteller/notebook0550f56b22", "kernel_id": "65731529"}, {"ref": "momenayman9/prediction-code", "kernel_id": "65407099"}, {"ref": "maddymcvey/titanic-first-sub-mcvey", "kernel_id": "65353538"}, {"ref": "nadir21/notebooke54f673450", "kernel_id": "65315273"}, {"ref": "mhmedahmed/notebook016a3b423b", "kernel_id": "65346237"}, {"ref": "rashikanaruka/kaggle-1st-titanic", "kernel_id": "65348123"}, {"ref": "armaananand/titanic-notebook", "kernel_id": "65354634"}, {"ref": "tesspaton/notebooked5ddfce18", "kernel_id": "65355630"}, {"ref": "owenc14/titanic-sub", "kernel_id": "65354341"}, {"ref": "ethancomiskey/getting-started-with-the-titanic", "kernel_id": "65354337"}, {"ref": "matthewrobinson63/titanic-mlp", "kernel_id": "65742387"}, {"ref": "armindia/titanicsubmission", "kernel_id": "65355033"}, {"ref": "bullockbrooklyn/titanic-first-submission", "kernel_id": "65355039"}, {"ref": "tadiwambuwayesango/notebookad43340ed2", "kernel_id": "65735858"}, {"ref": "prashanthk8/titanic-first", "kernel_id": "65743032"}, {"ref": "ghadatalha12/notebook78cf870187", "kernel_id": "65362737"}, {"ref": "ehabgado/notebook2eaa181f9e", "kernel_id": "65363554"}, {"ref": "meghasyampeddireddy/ai201xlab1", "kernel_id": "65743416"}, {"ref": "matttm/titanic-with-scikit-learn", "kernel_id": "65578796"}, {"ref": "matttm/titanic-with-stan", "kernel_id": "65977905"}, {"ref": "matttm/titanic-with-fast-ai", "kernel_id": "65882321"}, {"ref": "ianamaral/getting-started-in-titanic", "kernel_id": "65555919"}, {"ref": "ytyfull/titanic-logistic-regression", "kernel_id": "65398887"}, {"ref": "ytyfull/titanic-decition-tree", "kernel_id": "65444367"}, {"ref": "ytyfull/titanic-random-forest-classifier", "kernel_id": "65487321"}, {"ref": "ytyfull/titanic-xgboost", "kernel_id": "65481620"}, {"ref": "kingsmatser/notebookfa65d8276b", "kernel_id": "65402696"}, {"ref": "bigsmallmediumpotato/titanic-ml-challenge-top-10", "kernel_id": "65402801"}, {"ref": "ahmedalisa/notebook703547011f", "kernel_id": "65403377"}, {"ref": "aliseeed/titanic", "kernel_id": "65430904"}, {"ref": "minatavr/first-start", "kernel_id": "65441963"}, {"ref": "dselizarov/titanic", "kernel_id": "65474227"}, {"ref": "rafacommando/rafa-marin-titanic-tutorial", "kernel_id": "65546050"}, {"ref": "belnrobustillo/titanic-tutorial", "kernel_id": "65527093"}, {"ref": "javiersanchoprez/exercise-arithmetic-and-variables", "kernel_id": "65803969"}, {"ref": "sandrabf/exercise-arithmetic-and-variables", "kernel_id": "65711194"}, {"ref": "sandrabf/notebookc51030e52e", "kernel_id": "65526728"}, {"ref": "irenebucetaalocen/titanic-tutorial", "kernel_id": "65526515"}, {"ref": "guillegarranz/notebookguillenaro", "kernel_id": "65527242"}, {"ref": "javiercamareromoles/titanic-tutorial", "kernel_id": "65526724"}, {"ref": "carmenpareja/carmen-p", "kernel_id": "65526758"}, {"ref": "joelibarracajas/notebook2edc085d47", "kernel_id": "65527069"}, {"ref": "jaimedfc/ejercicio-titanic-jaime-de-frutos", "kernel_id": "65527028"}, {"ref": "nektaru/exercise-arithmetic-and-variables", "kernel_id": "65713696"}, {"ref": "nektaru/titanic-tutorial", "kernel_id": "65527072"}, {"ref": "anietop/getting-started-with-titanic", "kernel_id": "65488450"}, {"ref": "raheliann/titanic-test", "kernel_id": "65527635"}, {"ref": "raheliann/exercise-arithmetic-and-variables", "kernel_id": "65712009"}, {"ref": "ghostydata/titanic-machine-learning", "kernel_id": "65498887"}, {"ref": "katecrozier/titanic-ml", "kernel_id": "65963419"}, {"ref": "andrehalmeida/notebook194a495334", "kernel_id": "65613182"}, {"ref": "benjamindemarais/titanic-notebook", "kernel_id": "65971578"}, {"ref": "umeshsaitejapoola/ai201xlab1", "kernel_id": "65735250"}, {"ref": "cameronmk/notebook53add1535c", "kernel_id": "65735861"}, {"ref": "devampnanavati/titanic-data-science-solutions", "kernel_id": "65743583"}, {"ref": "rohanraman01/exercise-arithmetic-and-variables", "kernel_id": "65830957"}, {"ref": "timaev/titanic-timaev", "kernel_id": "65967624"}, {"ref": "rohansamuelg/reproduce-titanic-data-science-no-warnings-rohan", "kernel_id": "65873400"}, {"ref": "rohansamuelg/reproduce-titanic-data-science-solutions-rohan", "kernel_id": "65874089"}, {"ref": "varshithdupati/titanic-data-science-solutions", "kernel_id": "65883861"}, {"ref": "varshithdupati/titanic-data-science-solutions-0aec7f", "kernel_id": "65886080"}, {"ref": "cherrystefiaariela/notebook9772138cb4", "kernel_id": "65964855"}, {"ref": "paulduplys/titanic-notebook", "kernel_id": "66412251"}, {"ref": "onodera/titanic-with-polars-gpu", "kernel_id": "66090412"}, {"ref": "xiefei/titanic", "kernel_id": "66481382"}, {"ref": "dima806/riverml-online-learning-with-titanic", "kernel_id": "66592479"}, {"ref": "diegobarrera25/titanic-tutorial", "kernel_id": "66517299"}, {"ref": "sapna7/python-for-data-4-variables", "kernel_id": "66934838"}, {"ref": "myte21/titanic", "kernel_id": "66397865"}, {"ref": "juanpablomartnez/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "66467996"}, {"ref": "nikitachubai/titanic-classification-with-multilayer-perceptro", "kernel_id": "66078690"}, {"ref": "jbk123/titanic-eda-and-rf", "kernel_id": "66546838"}, {"ref": "drmurataltun/titanic-py-caret", "kernel_id": "66030025"}, {"ref": "manishkumar2401/titanic-model", "kernel_id": "66734374"}, {"ref": "kmjoshi8/titanic-prediction", "kernel_id": "66800581"}, {"ref": "sspan0019/titanic-ensemble-lr-knn-rf-mlp", "kernel_id": "66915960"}, {"ref": "mos3santos/aprendizado-de-m-quina-por-fun-o", "kernel_id": "66405601"}, {"ref": "dhruvdmahajan/titanic-ensemble", "kernel_id": "66854696"}, {"ref": "rohan843/titanic-contest", "kernel_id": "66274480"}, {"ref": "abdelhadimechioukhi/iceberg-ahead-can-we-predict-survival-on-titanic", "kernel_id": "66740963"}, {"ref": "gohorino/titanic-gohorino", "kernel_id": "66302956"}, {"ref": "rarataskiadewanti/titanic-project", "kernel_id": "66091957"}, {"ref": "murtadhayaseen/titanic", "kernel_id": "66520959"}, {"ref": "honggwangpyu/notebook01508d0e5d", "kernel_id": "66748732"}, {"ref": "iremuslu1/titanic-ml-model-comparison", "kernel_id": "66396096"}, {"ref": "omidsakaki1370/titanic-eda-ml", "kernel_id": "66998226"}, {"ref": "yougebuding/titanic-predict", "kernel_id": "66056465"}, {"ref": "blackluck/getting-started-with-titanic", "kernel_id": "66873340"}, {"ref": "hrutujakalaskar/titanic-survival-com", "kernel_id": "66747151"}, {"ref": "ismetsemedov/titanic-machine-learning-from-disaster", "kernel_id": "66057883"}, {"ref": "sedayesilyaka/fork-of-prep-comb", "kernel_id": "66592277"}, {"ref": "sedayesilyaka/prep-comb", "kernel_id": "66009632"}, {"ref": "pranavkumarmehta/exercise-arithmetic-and-variables", "kernel_id": "66126073"}, {"ref": "pranavkumarmehta/titanic-tutorial", "kernel_id": "66125803"}, {"ref": "teothomasjoby/titanic-prediction-using-simple-random-forest", "kernel_id": "66357275"}, {"ref": "moatazhassan/titanic", "kernel_id": "66502981"}, {"ref": "anubhavmaverick/titanic-competition", "kernel_id": "66513749"}, {"ref": "theolee72/titanic-trial", "kernel_id": "66612114"}, {"ref": "muhammadnoorulzaman1/titanic-survival-prediction", "kernel_id": "66758025"}, {"ref": "dimitriostsoukalas/titanic-machine-learning-prediction", "kernel_id": "66067641"}, {"ref": "rahulangal/titanic-data-visualization-knn", "kernel_id": "66974324"}, {"ref": "jonmccurdy/coad-hubs-titanic-example", "kernel_id": "66469557"}, {"ref": "monahassan88/imagetotext", "kernel_id": "66700711"}, {"ref": "alisyamentari/titanic-supervised-knn-model", "kernel_id": "66374092"}, {"ref": "alisyamentari/titanic-supervised-naive-bayes-model", "kernel_id": "66371486"}, {"ref": "rumeysakarayilan/titanic", "kernel_id": "66735738"}, {"ref": "wolfario/titanic-random-forest-top-78-for-starters", "kernel_id": "66828857"}, {"ref": "qemharitsk/titanic-ml-model-building", "kernel_id": "66582150"}, {"ref": "ramyhafez/titanic-prediction", "kernel_id": "66213372"}, {"ref": "orvile/titanic-ml-dl-86", "kernel_id": "66410637"}, {"ref": "ritisheditor/getting-started-with-tiitanic", "kernel_id": "66287073"}, {"ref": "deniz2121/titanic-eda-ensemble-modeling", "kernel_id": "66613731"}, {"ref": "prashudas/titanic-survival-prediction", "kernel_id": "66057427"}, {"ref": "mweglowski/titanic-competition", "kernel_id": "66433323"}, {"ref": "stephanpuget/titanic", "kernel_id": "66755276"}, {"ref": "seyitaliyorun/titanic-eda", "kernel_id": "66724177"}, {"ref": "sarasaadoun/titanic-dataset-classification-without-leakage", "kernel_id": "66551530"}, {"ref": "shreyasur965/titanic-survival-prediction-gradient-boosting", "kernel_id": "66429180"}, {"ref": "yaisus/2001207335-th6-buoi6", "kernel_id": "66293450"}, {"ref": "quanm5408gmailcom/2001207294-th6", "kernel_id": "66308850"}, {"ref": "thnhtmnguynl/2001200635-th6", "kernel_id": "66307602"}, {"ref": "noeldavidking/titanic-survival-neural-networks", "kernel_id": "66005848"}, {"ref": "phonghoi/2001207319-th6", "kernel_id": "66307261"}, {"ref": "lill3in/2001203067-th6", "kernel_id": "66307385"}, {"ref": "mnicagalndelallana/titanic-survival-predictions-beginner", "kernel_id": "66517472"}, {"ref": "adewalebusari/getting-started-with-titanic-zeal", "kernel_id": "66643698"}, {"ref": "umekko/titanic-competition", "kernel_id": "66028966"}, {"ref": "vijyushaburra/titanic-ml-project", "kernel_id": "66362994"}, {"ref": "ahmedwaelnasef/titanic-full-eda", "kernel_id": "66465279"}, {"ref": "arth09/titanic-mlp-83-test-accuracy", "kernel_id": "66697846"}, {"ref": "hajer8/titanic-2", "kernel_id": "66876550"}, {"ref": "ibrahimtanvir/exercise-arithmetic-and-variables", "kernel_id": "66262832"}, {"ref": "roqayyeh/titanic-cls", "kernel_id": "66746051"}, {"ref": "roqayyeh/titanic-cls-catboost", "kernel_id": "66980247"}, {"ref": "audiaulia/testbed-optimasi-grid-search-titanic", "kernel_id": "66857199"}, {"ref": "ilyazored/lightautoml-lama-titanic", "kernel_id": "66779519"}, {"ref": "truong4783/2001216262-th6", "kernel_id": "66292859"}, {"ref": "akoglu/getting-started-with-titanic", "kernel_id": "66546377"}, {"ref": "mohamedtarek01234/titanic-notebook", "kernel_id": "66680072"}, {"ref": "nikolaosmaredis/titanic-amateur", "kernel_id": "66001013"}, {"ref": "kievlz/titanic-ml-xgboost-and-gridsearchcv-78-acc", "kernel_id": "66735339"}, {"ref": "otmbhj/pytorch-neural-network-starter-detail", "kernel_id": "66777444"}, {"ref": "gopaltiwari0978/titanic", "kernel_id": "66365769"}, {"ref": "calistaazz/calista-azzahra-064002300008-modul2-dapros-part2", "kernel_id": "66749361"}, {"ref": "calistaazz/calista-azzahra-064002300008-modul-2", "kernel_id": "66366745"}, {"ref": "fairuzm/064002300018-fairuz-maulidya-3", "kernel_id": "66367207"}, {"ref": "nhatthang/2001216157-caohoangnhatthang-th6", "kernel_id": "66307004"}, {"ref": "phamnguyen03/2001210784-th6", "kernel_id": "66306770"}, {"ref": "edwinagustn/titanic-submission", "kernel_id": "66963234"}, {"ref": "berkalbas/titaniceda", "kernel_id": "66753355"}, {"ref": "ahmedezzatibrahem/titanic-data-cleaning-visualization-and-modeling", "kernel_id": "66409693"}, {"ref": "thisisyashsharma/titanic-model", "kernel_id": "66835213"}, {"ref": "doniyor11/titanic-decision-trees", "kernel_id": "66216079"}, {"ref": "doniyor11/titanic-logistic-reg", "kernel_id": "66379640"}, {"ref": "doniyor11/notebook1ad0c01979", "kernel_id": "66394903"}, {"ref": "doniyor11/titanic-svm", "kernel_id": "66396977"}, {"ref": "muuhammedd/titanic", "kernel_id": "66434232"}, {"ref": "recepbattal/titanic-practice-w-various-classifiers", "kernel_id": "66435609"}, {"ref": "huynhthihoangkim/2001215900-th6", "kernel_id": "66307680"}, {"ref": "buketarslan/titanic-survival-prediction", "kernel_id": "66606687"}, {"ref": "harshitaa2128/getting-started-with-titanic-ha", "kernel_id": "66778992"}, {"ref": "rianaazad/titanic-ml2", "kernel_id": "66701158"}, {"ref": "karimosama7/titanic-classification", "kernel_id": "66213833"}, {"ref": "valakhorasani/titanic-competition-gradient-boosting", "kernel_id": "66648251"}, {"ref": "gwenalainam/modul2-part2-064002300047-gwen-alaina-marela", "kernel_id": "66771159"}, {"ref": "gwenalainam/prak2-gwen-alaina-m-064002300047", "kernel_id": "66366747"}, {"ref": "mariiakhlystiuk/khlystiuk-mariia-test-dstrainee", "kernel_id": "66575802"}, {"ref": "wiktorlewandowski/titanic-survival-analysis-model-comparison", "kernel_id": "66264352"}, {"ref": "leviyoder/titanic-survival", "kernel_id": "66398240"}, {"ref": "thanghuynh03/2001216159-bth6", "kernel_id": "66292871"}, {"ref": "igorachieser/titanic-classification-with-pipeline-and-gb", "kernel_id": "66390290"}, {"ref": "denkuznetz/titanic-82-7-acr", "kernel_id": "66804244"}, {"ref": "kuldeept/notebook264140a097", "kernel_id": "66053642"}, {"ref": "ramaabdelgadir/titanic-eda-with-xgb-87-accuracy", "kernel_id": "66593315"}, {"ref": "tntphm/2001215712-th6", "kernel_id": "66307244"}, {"ref": "faresashraf1001/titanic-prediction-classification-models", "kernel_id": "66017152"}, {"ref": "thomasjoshuadesa/titanic-survival-model", "kernel_id": "66413229"}, {"ref": "sirorororo/titanic-prediction", "kernel_id": "66917024"}, {"ref": "sachindev2905/25-d2339-12321210-cap450-act-01", "kernel_id": "66815628"}, {"ref": "phamminhnhut1234/2001216012-th6", "kernel_id": "66309120"}, {"ref": "jayasurya886/lab-test", "kernel_id": "66050143"}, {"ref": "lamandat/2001215698-th6", "kernel_id": "66307119"}, {"ref": "fithriyanadewi/titanic-supervised-fithri", "kernel_id": "66415519"}, {"ref": "levutien/2001216209-l-v-ti-n-thb6", "kernel_id": "66292916"}, {"ref": "nguyentrungthanh1907/2001216149-nguyentrungthanh-thb6", "kernel_id": "66297550"}, {"ref": "nguyenthehien/2001215767-th6", "kernel_id": "66311404"}, {"ref": "dangvanphong/2001210470-th6", "kernel_id": "66306759"}, {"ref": "truongthanhy/2001216332-th6", "kernel_id": "66306520"}, {"ref": "tiphvit/2001210153-th6", "kernel_id": "66292844"}, {"ref": "qunphmhuanh/2001216082-th6", "kernel_id": "66306746"}, {"ref": "thobui640/2001210919-th6", "kernel_id": "66306718"}, {"ref": "trannguyennhattan/2001210759-th6", "kernel_id": "66307006"}, {"ref": "hunhhongc/2001210945-th6", "kernel_id": "66293508"}, {"ref": "toanthang/2001216168-bt6", "kernel_id": "66292847"}, {"ref": "darkraiz18/2001210280-th6", "kernel_id": "66307029"}, {"ref": "nguynthanhpht/2001210748-th6", "kernel_id": "66306995"}, {"ref": "ngueyncongdanh/2001215650-th6", "kernel_id": "66310675"}, {"ref": "inhquangph/2001216038-thb6", "kernel_id": "66294594"}, {"ref": "frankiefurnelli/machine-learning-for-titanic-survival", "kernel_id": "66961409"}, {"ref": "adityapani007/titanic-classification", "kernel_id": "66749733"}, {"ref": "lvnt2001210124/2001210124-th6", "kernel_id": "66306754"}, {"ref": "huynhminh24/2001210872-th6", "kernel_id": "66307135"}, {"ref": "chithienngo/2001210674-ngochithien-bttl6", "kernel_id": "66308465"}, {"ref": "ttnguyenvo/2001210257-th6", "kernel_id": "66307936"}, {"ref": "minhtamtran0110/2001216128-th6", "kernel_id": "66307274"}, {"ref": "mahmoudalisalem/titanic-prediction", "kernel_id": "66857407"}, {"ref": "trungnguyen0/2001207174-th6", "kernel_id": "66292953"}, {"ref": "inhminhmn/2001210695-th6", "kernel_id": "66292974"}, {"ref": "tark01/titanic-eda", "kernel_id": "66265564"}, {"ref": "ullapusirisha/exercise-arithmetic-and-variables", "kernel_id": "66804741"}, {"ref": "ullapusirisha/notebook544a781011", "kernel_id": "66799312"}, {"ref": "hoodrichpirobo/exercise-arithmetic-and-variables", "kernel_id": "66668507"}, {"ref": "imthebaron/titanic-survivability", "kernel_id": "66860950"}, {"ref": "asifasmatnibir/titanic", "kernel_id": "66364617"}, {"ref": "kitnguyn123/2001210135-th6", "kernel_id": "66306713"}, {"ref": "mrandrew30/notebookfcc782f300", "kernel_id": "66401540"}, {"ref": "rikbandhopadhaya/titanic-dataset-prediction", "kernel_id": "66993358"}, {"ref": "codyeklov/notebookc0992e17c0", "kernel_id": "66957089"}, {"ref": "ismailelyan/titanic-the-power-of-prediction", "kernel_id": "66628928"}, {"ref": "romanza/notebookf59e250ffb", "kernel_id": "66518446"}, {"ref": "mategyurcsik/titanic", "kernel_id": "66226710"}, {"ref": "shijun666/titanic-competition-sj-1", "kernel_id": "66537037"}, {"ref": "zlatanshev/titanic-df-shevchenko", "kernel_id": "66598326"}, {"ref": "zlatanshev/zlatan-shev-titanic", "kernel_id": "66341835"}, {"ref": "pronabsarkar/pronabsarkar-24-07-2024-lab-assignment-1", "kernel_id": "66709729"}, {"ref": "spyhop/titanic-ml-project", "kernel_id": "66677465"}, {"ref": "asgharqamberrizvi/titanic-disaster", "kernel_id": "66778218"}, {"ref": "navneetsharma45/notebooka466b02d64", "kernel_id": "66281768"}, {"ref": "priyankbadarshahi/practical-10-226270307088", "kernel_id": "66376187"}, {"ref": "priyankbadarshahi/practical-11-226270307088", "kernel_id": "66378408"}, {"ref": "thnhphamphuc/2001200613-th6", "kernel_id": "66293040"}, {"ref": "shoaibsahu/predicting-titanic-survival-a-random-forest-appr", "kernel_id": "66815987"}, {"ref": "ranagayatri/iml-practical-10-226270307093", "kernel_id": "66754945"}, {"ref": "theoffalquimisthome/notebook0603e64e02", "kernel_id": "66640632"}, {"ref": "phonemyatkyawthu/titanic-competition-phone-myat-kyaw-thu", "kernel_id": "66833184"}, {"ref": "aanchalrajawat25/lab-exam-1", "kernel_id": "66056157"}, {"ref": "aanchalrajawat25/lab-exam", "kernel_id": "66050253"}, {"ref": "warrenleitner/notebook2535e915f8", "kernel_id": "66131255"}, {"ref": "seifali432/notebook-1-titanic", "kernel_id": "66680612"}, {"ref": "arfanhashif/ver-1", "kernel_id": "66886539"}, {"ref": "mohamedtarek77/titanic-survivor-classification", "kernel_id": "66214416"}, {"ref": "gladwinpaulbiju/titanic-competition", "kernel_id": "66400674"}, {"ref": "kuldeepsavaliya/exercise-arithmetic-and-variables", "kernel_id": "66384880"}, {"ref": "ahmedghouneimy/ahmed-g-assignment-1", "kernel_id": "66390076"}, {"ref": "realshivarv/titanic-survivors-predictor-using-model-selection", "kernel_id": "66250855"}, {"ref": "nuzurulhaqifadillah/modul2p2dapros-nuzurulhaqi", "kernel_id": "66749487"}, {"ref": "nuzurulhaqifadillah/modul-2-nuzurul-haqi-f-064002300022", "kernel_id": "66367532"}, {"ref": "romanlisachov/titanic-decision-tree", "kernel_id": "66540708"}, {"ref": "juanddavidreyardila/titanic-logregression", "kernel_id": "66664894"}, {"ref": "zhhanght123/titanic-date", "kernel_id": "66055089"}, {"ref": "allansoaresduarte/titanic-w-advanced-data-imputation", "kernel_id": "66409159"}, {"ref": "rishita00/beginner-s-approach-to-titanic", "kernel_id": "66139043"}, {"ref": "negmgh/titanic-initial-explanatory-analysis", "kernel_id": "66462574"}, {"ref": "negmgh/titanic-competition", "kernel_id": "66412762"}, {"ref": "aitbekovalibek/top-100-for-community-by-genetic-function", "kernel_id": "66182744"}, {"ref": "singhashish004/titanic-dataset", "kernel_id": "66571443"}, {"ref": "mutiaranoviantirambe/titanic-064002300029-mutiara-novianti-rambe", "kernel_id": "66366740"}, {"ref": "zahwanurazkiaputri/modul-2-zahwa-nur-azkia-putri-064002300038", "kernel_id": "66379329"}, {"ref": "zahwanurazkiaputri/modul-2-2-zahwa-nur-azkia-putri-064002300038", "kernel_id": "66749349"}, {"ref": "juniartoprabowo/modul-2-part-2-juniarto-prabowo-064002300003", "kernel_id": "66749359"}, {"ref": "juniartoprabowo/modul-2-juniarto-prabowo-064002300003", "kernel_id": "66368517"}, {"ref": "lisnahidayanti/prak2-lisna-hidayanti-064002300019", "kernel_id": "66366750"}, {"ref": "muhammadrezasugiarto/nn-prak", "kernel_id": "66496913"}, {"ref": "muhammadrezasugiarto/modul-2-part-2", "kernel_id": "66749543"}, {"ref": "reyhanarnas/titanic-lanjut-reyhanarnas-064002300002", "kernel_id": "66749525"}, {"ref": "rafaelgalaherlambang/064002300036-rafael-gala-herlambang-dapros-2-p-2", "kernel_id": "66749502"}, {"ref": "maslubidwiwidodo/maslubi-dwi-widodo-064002300011-pemorsesan-data", "kernel_id": "66749488"}, {"ref": "maslubidwiwidodo/titanic-maslubi-dwi-widodo-064002300011", "kernel_id": "66366815"}, {"ref": "graceb1/titanic-survival-model", "kernel_id": "66022899"}, {"ref": "awaken007/xgboostclassifier-v01", "kernel_id": "66501098"}, {"ref": "allstones/getting-started-with-celebrities-in-titanic", "kernel_id": "66390346"}, {"ref": "rohanraman01/titanic-machine-learning-from-disaster", "kernel_id": "66632564"}, {"ref": "hellflower/my-first-titanic", "kernel_id": "66056714"}, {"ref": "farhaniqbalmaulana/064002300023-farhan-iqbal-m", "kernel_id": "66749923"}, {"ref": "dimitriskon/titanic-machine-learning-from-disaster", "kernel_id": "66068484"}, {"ref": "ishanakarpe/titanic-intro", "kernel_id": "66148193"}, {"ref": "selvianapuspitasari/dsf-day-4-titanic-supervised", "kernel_id": "66425441"}, {"ref": "febriannurjananto/latihan-titanic-ml-supervised", "kernel_id": "66227949"}, {"ref": "muhamadusuf/titanic-ml-from-disaster", "kernel_id": "66615133"}, {"ref": "juliohsu/titanic-survival-linear-regression", "kernel_id": "66437518"}, {"ref": "yismelysrodriguez/medicion", "kernel_id": "66143633"}, {"ref": "suresh7889/getting-started-with-titanic", "kernel_id": "66263582"}, {"ref": "yunhaifanteng/getting-started-with-titanic", "kernel_id": "66245236"}, {"ref": "ymtuis/tuis-study-kaggle-03", "kernel_id": "66738813"}, {"ref": "ymtuis/tuis-study-kaggle-04", "kernel_id": "66739428"}, {"ref": "ymtuis/tuis-study-kaggle-02", "kernel_id": "66738532"}, {"ref": "ymtuis/tuis-study-kaggle-01", "kernel_id": "66735821"}, {"ref": "ymtuis/tuis-study-kaggle-07", "kernel_id": "66743352"}, {"ref": "ymtuis/tuis-study-kaggle-05", "kernel_id": "66739715"}, {"ref": "ymtuis/tuis-study-kaggle-06", "kernel_id": "66740094"}, {"ref": "jugalhprajapati/titanic-prediction-with-ml-solutions", "kernel_id": "66316899"}, {"ref": "benjamnfigueroa/sg-2024-4-gr-b-benjam-n-figueroa", "kernel_id": "66711110"}, {"ref": "veenavasu/titanic", "kernel_id": "66355782"}, {"ref": "gaellemayan/titanic-data-science-solutions", "kernel_id": "66820302"}, {"ref": "jfcarrasquilla/proyecto-titanic-juanfelipe", "kernel_id": "66460448"}, {"ref": "majatwilebertelsen/portfolio-1b", "kernel_id": "66503822"}, {"ref": "syedasamina56/notebook83669e9c5f", "kernel_id": "66838843"}, {"ref": "takatoshisatoh06/notebook631c3e27bf", "kernel_id": "66660239"}, {"ref": "ldausl/titanic-tutorial", "kernel_id": "66696309"}, {"ref": "nicoleokpala/titanic-submission", "kernel_id": "66705841"}, {"ref": "liseandersen9/portfolio-1b-xtm154", "kernel_id": "66703258"}, {"ref": "frejaj/portefolio-1b", "kernel_id": "66887138"}, {"ref": "luismilanengel/with-age-feature", "kernel_id": "66843767"}, {"ref": "juliaarealmarques/getting-started-with-titanic-amy-julia", "kernel_id": "66824763"}, {"ref": "mpphan/notebooke7030d072d", "kernel_id": "66791843"}, {"ref": "yudharizkyabdullah/exercise-arithmetic-and-variables", "kernel_id": "66800598"}, {"ref": "frederikjoernung/notebook-3", "kernel_id": "66819498"}, {"ref": "fallsemcourse24/pr-j-d-nfer", "kernel_id": "66884289"}, {"ref": "lqc627/titanic-portfolio-1b", "kernel_id": "66878417"}, {"ref": "sigrunabrugv/portfolio-1b", "kernel_id": "66886851"}, {"ref": "annabjorg/portfolio-assignment", "kernel_id": "66930661"}, {"ref": "trishgzam/getting-started-with-titanic", "kernel_id": "66955534"}, {"ref": "morrranii/maicon-cheatsheet", "kernel_id": "67033157"}, {"ref": "alonzo31/titanic-bi-analysis-part-1-1", "kernel_id": "67848382"}, {"ref": "alonzo31/titanic-bi-analysis-part-1-2", "kernel_id": "67848721"}, {"ref": "alonzo31/titanic-bi-analysis-part-2-model", "kernel_id": "67756164"}, {"ref": "owaisk/exercise-arithmetic-and-variables", "kernel_id": "67678527"}, {"ref": "suhaspreetham/titanic-tutorial-1-1", "kernel_id": "67781600"}, {"ref": "chsong/titanic-eda-to-prediction-dietanic", "kernel_id": "67211623"}, {"ref": "rohitonkaggle/titanic-machine-learning-from-disaster", "kernel_id": "67985806"}, {"ref": "yashparab/titanic-machine-learning-from-disaster", "kernel_id": "67888253"}, {"ref": "shreyaspj/dm-hw2", "kernel_id": "67220975"}, {"ref": "piyushjain572/filter-based-feature-selection", "kernel_id": "67873497"}, {"ref": "mustafacivici/titanic-with-eda-acc-0-787", "kernel_id": "67791407"}, {"ref": "astelthottankara/titanic-logistic-regression-with-neural-networks", "kernel_id": "67776506"}, {"ref": "marcelobatalhah/titanic-notebook-using-cross-validation", "kernel_id": "67244194"}, {"ref": "murtadhayaseen/5-feature-76-ac-without-un-ov-fitting", "kernel_id": "67222099"}, {"ref": "asadozzaman/beginner-friendly-guide-to-understanding-titanic", "kernel_id": "67089805"}, {"ref": "pranita1202/titanic-classify", "kernel_id": "67916796"}, {"ref": "limwenyang/titanic-dataset", "kernel_id": "67802834"}, {"ref": "gelironich/getting-started-with-titanic", "kernel_id": "67157454"}, {"ref": "poeticlife/titatanic-ms", "kernel_id": "67217747"}, {"ref": "ezraraj/advance-data-preprocessing", "kernel_id": "67193917"}, {"ref": "riyaelizashaju/data-wrangling-datajam", "kernel_id": "67741950"}, {"ref": "darshdeep/titanic-model-pynb", "kernel_id": "67995245"}, {"ref": "hitendusseja/ml-classifier-mpr", "kernel_id": "67080698"}, {"ref": "bradhammond/fork-of-titanic-ml-project", "kernel_id": "67850728"}, {"ref": "palkinegor/dimension-reduction-nsu", "kernel_id": "67495428"}, {"ref": "yutinghuwu/reto-titanic", "kernel_id": "67996538"}, {"ref": "pedrochansfanego/modelo-de-predicci-n-titanic-pedro-chans", "kernel_id": "67395345"}, {"ref": "mistervivek/titanic-data-by-vivek", "kernel_id": "67058758"}, {"ref": "dmitriilandik/titanic-scikit-learn", "kernel_id": "67580855"}, {"ref": "jijagallery/titanic-tales-a-random-forest-adventure", "kernel_id": "67872795"}, {"ref": "yuuthk/notebook1cca944ded", "kernel_id": "67386666"}, {"ref": "addygaur/titanic-3", "kernel_id": "67373537"}, {"ref": "mdiftekharmahmud/survival-prediction", "kernel_id": "67066755"}, {"ref": "othmanshbeir/titanic-survival-prediction", "kernel_id": "67262541"}, {"ref": "sitarina/sg-2024-3-yuhan-duan-true", "kernel_id": "67323348"}, {"ref": "deankelley/titanic-bigdataanalyticsproject", "kernel_id": "67922058"}, {"ref": "yaafiwasesa/titanic-dataset-prediction-using-tpot-automl", "kernel_id": "67333412"}, {"ref": "yasminaelkhazen/data-analysis-workshop", "kernel_id": "67179578"}, {"ref": "rishikumaryadav/titanic-survival-prediction-model", "kernel_id": "67245463"}, {"ref": "rishikumaryadav/exploring-survival-patterns-on-the-titanic", "kernel_id": "67244950"}, {"ref": "abdulrehmandev/titanic-competition", "kernel_id": "67994986"}, {"ref": "bhargaviyer108/titanic", "kernel_id": "67020430"}, {"ref": "paufortiana/titanic-machine-learning-from-disaster-rf", "kernel_id": "67916935"}, {"ref": "zephy7549/test-run", "kernel_id": "67258963"}, {"ref": "chamodajayamini/titanic", "kernel_id": "67729282"}, {"ref": "marlenatpanagiotakou/ieee-ntua-sb-ml-team-titanic-regr-tuning", "kernel_id": "67063785"}, {"ref": "lowkyavuppu/dm-hw-2", "kernel_id": "67851691"}, {"ref": "mdakashhossainbd/test-1", "kernel_id": "67363645"}, {"ref": "sahilkhan70/hypothesis-testing", "kernel_id": "67896096"}, {"ref": "bruno55/titanic-notebook-3", "kernel_id": "67231491"}, {"ref": "jeevikasharma2003/who-survived-the-titanic-ml-approach", "kernel_id": "67199133"}, {"ref": "gekisoba/my-first-kaggle-with-titanic", "kernel_id": "67854333"}, {"ref": "rakeshtirumalaparapu/titanic-tutorial", "kernel_id": "67107349"}, {"ref": "ankurbhatt007/getting-started-with-titanic", "kernel_id": "67139952"}, {"ref": "mahsadadkhah/titanic-predictions", "kernel_id": "67232375"}, {"ref": "zeel0725/titanic-machine-learning-from-disaster", "kernel_id": "67069248"}, {"ref": "grandwizard/titanic-random-forest-classification", "kernel_id": "67322307"}, {"ref": "gownikranthikumar/notebookb0f621d19b", "kernel_id": "67207955"}, {"ref": "bilemre/titanic-eda", "kernel_id": "67498068"}, {"ref": "joaofilipemarques/titanic-competition", "kernel_id": "67845888"}, {"ref": "zeinebhachaichi/titanic-classification", "kernel_id": "67984377"}, {"ref": "aqsachaudry/titanic-survival-prediction-eda-and-prediction", "kernel_id": "67198356"}, {"ref": "alamessaoud/titanic-1", "kernel_id": "67102085"}, {"ref": "burandelei/titanic", "kernel_id": "67831942"}, {"ref": "mmrrcc/titanic-survival-prediction", "kernel_id": "67086521"}, {"ref": "iremtorun/titanic", "kernel_id": "67938846"}, {"ref": "kenken6/econ430", "kernel_id": "67610480"}, {"ref": "oksanaturii/mycompetitiontitanic-o", "kernel_id": "67182990"}, {"ref": "oksanaturii/myrtitanicmlwithcorrelation", "kernel_id": "67220115"}, {"ref": "mrayasatriatama/titanic-model-prediction", "kernel_id": "67164283"}, {"ref": "youssefihab/using-xgbclassifier-to-predict-survival-on-titanic", "kernel_id": "67224567"}, {"ref": "mushinw/easy-starter-and-understand-dataset", "kernel_id": "67274306"}, {"ref": "peterdesousa/pjds-titanic", "kernel_id": "67394434"}, {"ref": "cananervaaydn/notebookfde5694caa", "kernel_id": "67175406"}, {"ref": "faizanmurtuza1411/unlocking-titanic-secrets-with-python", "kernel_id": "67932037"}, {"ref": "gunnerbettle/getting-started-with-titanic", "kernel_id": "67247778"}, {"ref": "afnan970/titanic-first-notebook", "kernel_id": "67473474"}, {"ref": "nicolasbouzinbi/titanic-competition-nb", "kernel_id": "67155808"}, {"ref": "alessandrodrago1/titanic-randomforest-v1", "kernel_id": "67489247"}, {"ref": "rudraprasadbhuyan/clt-on-fare-statistical-analysis", "kernel_id": "67376102"}, {"ref": "tiheli/titanic-tutorial-project", "kernel_id": "67918891"}, {"ref": "mrkupo/titanic-ml", "kernel_id": "67166110"}, {"ref": "nurayde/titanic", "kernel_id": "67483022"}, {"ref": "nguyenvian0529/dulieukhac", "kernel_id": "67111566"}, {"ref": "nguyenvian0529/khaithacdulieu-logistic", "kernel_id": "67080239"}, {"ref": "kai0121/titanic", "kernel_id": "67191827"}, {"ref": "kanimozhi18/titanic-survival-prediction", "kernel_id": "67614336"}, {"ref": "mmddghd/eda-beginner-guide-to-stacked-model", "kernel_id": "67109968"}, {"ref": "joemullins/titanic-competition", "kernel_id": "67342255"}, {"ref": "talhatursun/t-tan-c-v2", "kernel_id": "67899598"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "devanjalipatel/titanic-notebook-devu", "kernel_id": "67452569"}, {"ref": "devanjalipatel/titanic", "kernel_id": "67458798"}, {"ref": "helenwhitehead/titanic-prediction-competition", "kernel_id": "67842207"}, {"ref": "abda11ah/titanic-classification", "kernel_id": "67245880"}, {"ref": "yeahian/ml-knn-titanic", "kernel_id": "67167269"}, {"ref": "mercywanjikumuigai/getting-started-with-titanic", "kernel_id": "67861383"}, {"ref": "manuelshaw/titanic-competition-ml-rfc-85-2", "kernel_id": "67100888"}, {"ref": "mlboy1/titanic-beginner-friendly-using-pipelines", "kernel_id": "67393263"}, {"ref": "jim0102/titanic-machine-learning-from-disaster", "kernel_id": "67125375"}, {"ref": "alicanpayasli01/10top-with-keras-titanic", "kernel_id": "67893494"}, {"ref": "savvastheocharous/titanic-competition-xgboost", "kernel_id": "67053006"}, {"ref": "alperhakl/titanic-eda-upgraded", "kernel_id": "67534532"}, {"ref": "ekeshwaripatil/titanic-machine-learning-from-disaster", "kernel_id": "67667570"}, {"ref": "andreyherrerasolano/notebook6511de4ecb", "kernel_id": "67064416"}, {"ref": "rishimhapsekar/rsm-titanic-dataset", "kernel_id": "67540363"}, {"ref": "anilgupta13/titanic-dataset", "kernel_id": "67978817"}, {"ref": "altemiromar/ensemble-vs-basic-classification-models", "kernel_id": "67319669"}, {"ref": "arezyhs/titanic-tutorial-arezyh-s", "kernel_id": "67806123"}, {"ref": "vanshikareja/titanic-compition", "kernel_id": "67985793"}, {"ref": "gireeshboggala/titanic-data", "kernel_id": "67987662"}, {"ref": "xiaodazhao/exercise-titanic-zhao-xiaoda", "kernel_id": "67586822"}, {"ref": "dalageo/exploring-the-world-s-most-renowned-shipwreck", "kernel_id": "67926992"}, {"ref": "lizk75/titanic-eda-and-ml-comparison", "kernel_id": "67900326"}, {"ref": "idokirson/ido-kirson-titanic", "kernel_id": "67931936"}, {"ref": "uridarom/titanic-competition", "kernel_id": "67931399"}, {"ref": "romanlisachov/analyzing-the-importance-of-table-data-features", "kernel_id": "67165044"}, {"ref": "abdelrahmanalaa135/titanic", "kernel_id": "67180584"}, {"ref": "maximilianklumb/maximilian-klumb-final-titanic", "kernel_id": "67931863"}, {"ref": "shrishtiswarnkar/pda-lab5", "kernel_id": "67689384"}, {"ref": "zahwanurazkiaputri/data-processing", "kernel_id": "67780434"}, {"ref": "juniartoprabowo/kelompok-4", "kernel_id": "67786393"}, {"ref": "konradykowski/pytorch-simple-nn-0-75", "kernel_id": "67114716"}, {"ref": "patrickschaeffer/titanic-statistics", "kernel_id": "67853716"}, {"ref": "ahmedkhaledhemida/titanic-dataset", "kernel_id": "67371896"}, {"ref": "virendulabh/notebookdc588c89b5", "kernel_id": "67808225"}, {"ref": "vickystutter/titanic-machine-learning-from-disaster", "kernel_id": "67965775"}, {"ref": "usifmalak/titanic-exm", "kernel_id": "67899705"}, {"ref": "micany/titanc-kia", "kernel_id": "67241221"}, {"ref": "abdulqadarmanasawala/the-getting-started-with-titanic", "kernel_id": "67056496"}, {"ref": "gaofeifei2449257539/titanic6", "kernel_id": "67915163"}, {"ref": "azmiachsani/notebookebd559a6ac", "kernel_id": "67154159"}, {"ref": "luismilanengel/titanic-machine-learning-1b", "kernel_id": "67347144"}, {"ref": "kimds02/20212962-kds-ver2", "kernel_id": "67307889"}, {"ref": "dindamaulidia12/dinda-maulidya", "kernel_id": "67333170"}, {"ref": "dindamaulidia12/notebookc520ae4d25", "kernel_id": "67327202"}, {"ref": "gatomancora/pregunta-3-titanic-prediccion-ann", "kernel_id": "67577980"}, {"ref": "dadada1083/titanic2", "kernel_id": "67937185"}, {"ref": "dadada1083/titanic", "kernel_id": "67898812"}, {"ref": "fallsemcourse24/fork-of-pr-j-d-nfer", "kernel_id": "67171582"}, {"ref": "brianvilnrotter/titanic-machine-learning-from-disaster", "kernel_id": "67934641"}, {"ref": "victorfflorensa/titanic-full-ml-project", "kernel_id": "67009552"}, {"ref": "iyerraman/exercise-arithmetic-and-variables", "kernel_id": "67070960"}, {"ref": "iyerraman/notebook5cd4310668", "kernel_id": "67071237"}, {"ref": "aurelio1de1/notebook2df7e9dcf6", "kernel_id": "67156028"}, {"ref": "mnik55/titanic", "kernel_id": "67556471"}, {"ref": "mieayam2024/tugas-pertama-kaggle-euy", "kernel_id": "67378171"}, {"ref": "mrizqihidayatullah/exercise-arithmetic-and-variables-b79ae4", "kernel_id": "67653693"}, {"ref": "ahmadirsan/tugas-1", "kernel_id": "67152563"}, {"ref": "mishawerner/titanic-analysis-visualizations-and-modeling", "kernel_id": "67262615"}, {"ref": "cananerva/train-data-titanic", "kernel_id": "67171826"}, {"ref": "putriazzahrani/notebookd6d0cdfc95", "kernel_id": "67368760"}, {"ref": "vjayasoorya/titanicc-project", "kernel_id": "67233597"}, {"ref": "vjayasoorya/titanic-project", "kernel_id": "67232680"}, {"ref": "krazy85/titanic-first-notebook", "kernel_id": "67552714"}, {"ref": "mughnianwar/kaggle-mughny01", "kernel_id": "67599742"}, {"ref": "reyyhanz/notebookdb0ada429b", "kernel_id": "67321119"}, {"ref": "hafizasyafitri/notebookbdf699d583", "kernel_id": "67327366"}, {"ref": "josuepujols/exercise-arithmetic-and-variables", "kernel_id": "67960492"}, {"ref": "indinamutiah/exercise-arithmetic-and-variables", "kernel_id": "67375939"}, {"ref": "muktipraboworamadhan/notebook3bc32fa941", "kernel_id": "67610876"}, {"ref": "geon05/titanic-tutorial", "kernel_id": "67972073"}, {"ref": "riswandazikrawi/riswanda-zikrawi", "kernel_id": "67759577"}, {"ref": "songokul/basic-model-1-titanic", "kernel_id": "67781761"}, {"ref": "yuki26i/titanic-yu", "kernel_id": "67896742"}, {"ref": "tonisanmartin/getting-started-with-titanic", "kernel_id": "67932530"}, {"ref": "toddabrahamii/titanic-improved-model", "kernel_id": "67919384"}, {"ref": "bahijabenmohamed1998/getting-started-with-titanic", "kernel_id": "67895200"}, {"ref": "giuseppeschintuutk/cosc523-m6-19-titanic", "kernel_id": "67940851"}, {"ref": "yoonddn/titanic-tutorial", "kernel_id": "67972189"}, {"ref": "kaiyoo88/titanic-tutorial", "kernel_id": "67972187"}, {"ref": "selcukcan/da-9-2-python-a-complete-pandas-tutorial", "kernel_id": "68854439"}, {"ref": "pklim101/titanic-pridiction-for-randomforestclassifier", "kernel_id": "68566817"}, {"ref": "pklim101/titanic-predictions-by-xgboost", "kernel_id": "68936321"}, {"ref": "limo756/learning-titanic", "kernel_id": "68064088"}, {"ref": "danipaez/titanic-data-analysis-imputation-tips", "kernel_id": "68878143"}, {"ref": "ajaywizard/cse572-hw2", "kernel_id": "68504483"}, {"ref": "chumajin/offline-pip-install-test-with-polars-gpu", "kernel_id": "68168730"}, {"ref": "parikshithooda/notebooka5150e086e", "kernel_id": "68434765"}, {"ref": "saifulislamarobe/titanic-data-analysis", "kernel_id": "68007295"}, {"ref": "dhrmprsd/titanic-dataset-prediction", "kernel_id": "68179970"}, {"ref": "immuhammadumair/ensembbagging-boosting-voting", "kernel_id": "68605940"}, {"ref": "mos3santos/t-eda", "kernel_id": "68433801"}, {"ref": "mos3santos/titanic-test-eda", "kernel_id": "68210384"}, {"ref": "josemariapalma/titanic-ironhack-jmpa", "kernel_id": "68549427"}, {"ref": "maxreis/shap-on-titanic-dataset", "kernel_id": "68437640"}, {"ref": "anjanalakshmi210/exercise-arithmetic-and-variables", "kernel_id": "68421226"}, {"ref": "shreysrivastava15/project-titan", "kernel_id": "68220861"}, {"ref": "pahlawanbikrahmani/titanic-tutorial-8d7f25", "kernel_id": "68669143"}, {"ref": "pahlawanbikrahmani/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "68819598"}, {"ref": "nikhil2k3/titanic-attempt-1", "kernel_id": "68011280"}, {"ref": "kun0922/kun-hw2", "kernel_id": "68891442"}, {"ref": "lucasnastariziza/exploring-ml-and-dl-approaches", "kernel_id": "68769014"}, {"ref": "fatimazahraiguenfer/featureengineering", "kernel_id": "68589645"}, {"ref": "zarghamziauddin/zz-titanic-v01", "kernel_id": "68609007"}, {"ref": "drewyross/titanic-competition", "kernel_id": "68036120"}, {"ref": "kinnaurmitra/notebook558476b119", "kernel_id": "68172376"}, {"ref": "julihocc/infotec-nov-2024", "kernel_id": "68922290"}, {"ref": "julihocc/classification-models-for-titanic-competition", "kernel_id": "68887806"}, {"ref": "sazmoo/titanicv4", "kernel_id": "68603820"}, {"ref": "akarshvyas/logistic-regression-titanic", "kernel_id": "68556006"}, {"ref": "nikola6453/survival-prediction-at-titanic-accuracy-0-7606", "kernel_id": "68459621"}, {"ref": "lincondash/titanic-survival-prediction", "kernel_id": "68457226"}, {"ref": "onionring30/notebook-gile", "kernel_id": "68514143"}, {"ref": "wowthis1408/notebook3ce165edfa", "kernel_id": "68842777"}, {"ref": "zozgedr/titanic", "kernel_id": "68546035"}, {"ref": "tejas242/datacorp-sol", "kernel_id": "68867847"}, {"ref": "sabbym/sjm-titanic-v01", "kernel_id": "68925289"}, {"ref": "sabbym/sjm-titanic-submission", "kernel_id": "68925499"}, {"ref": "kennethcrussell/kcr-titanic-v01", "kernel_id": "68989343"}, {"ref": "kennethcrussell/kcr-titanic-submission-v01", "kernel_id": "68989702"}, {"ref": "mohammadataallh/titanic-competition", "kernel_id": "68270473"}, {"ref": "rajnishkumarcse02/filter-based-feature-selection", "kernel_id": "68923930"}, {"ref": "alisaharkhiz/titanic-simple-code-87-accuracy", "kernel_id": "68109448"}, {"ref": "marlenatpanagiotakou/ieee-ntua-sb-ml-team-titanic-data-processing", "kernel_id": "68580177"}, {"ref": "natgurlain/comp-titanic-machine-learning-from-disaster", "kernel_id": "68579404"}, {"ref": "adityagupta0595/titanic-tutorial-attempt", "kernel_id": "68149164"}, {"ref": "phonghoi/metascope-titanic-nhom27", "kernel_id": "68077910"}, {"ref": "parkiy/titanic-pratice", "kernel_id": "68417425"}, {"ref": "iyehbseh/notebookd87e425a30", "kernel_id": "68013117"}, {"ref": "mhamza786/lab-6-decision-trees", "kernel_id": "68475336"}, {"ref": "gabrielivorra/titanic-competition", "kernel_id": "68398657"}, {"ref": "fankaidev/titanic-data-science-solutions", "kernel_id": "68082163"}, {"ref": "jasonhull/jrh-titanic-v01", "kernel_id": "68925701"}, {"ref": "jasonhull/jrh-titanic-submission", "kernel_id": "68941984"}, {"ref": "reemmuharram/titanic-survival-classification", "kernel_id": "68939169"}, {"ref": "mahmoudabdelwhabddd/titanic-a-z", "kernel_id": "68339246"}, {"ref": "ashikshahriar/hyperparameter-tuning-tensorflow", "kernel_id": "68415549"}, {"ref": "ashikshahriar/support-vector-machine-titanic-data", "kernel_id": "68421179"}, {"ref": "gregpballard/gpb-titanic-v01", "kernel_id": "68927637"}, {"ref": "hossamelsrah/titanic-survival-prediction", "kernel_id": "68400493"}, {"ref": "chiayuu/titanic-machine-learning-models", "kernel_id": "68118534"}, {"ref": "rdjarbeng/linear-model-and-neural-net-from-scratch", "kernel_id": "68337991"}, {"ref": "geraldwambui/titanic-catboost-100-accuracy", "kernel_id": "68159786"}, {"ref": "adityaroushan/titanic-logistic", "kernel_id": "68188070"}, {"ref": "muhammadasifwazir/titanic-disaster-ml-assignment-02", "kernel_id": "68105996"}, {"ref": "areejpanhwer/titanic-survival-prediction-ml-insight", "kernel_id": "68894477"}, {"ref": "divyapragna/titanic-survival", "kernel_id": "68335278"}, {"ref": "farhanwew/titanic-dataeset-ensemble-method", "kernel_id": "68513577"}, {"ref": "risasulistiawati/dsf-dibimbing-risa-sulistiawati", "kernel_id": "68863562"}, {"ref": "anmol2005gautam/titanic-notebook", "kernel_id": "68142718"}, {"ref": "kzxiao/titanic-with-rfe-selectkbest-and-optuna", "kernel_id": "68935617"}, {"ref": "astoreyai/as-titanic-v01", "kernel_id": "68849520"}, {"ref": "astoreyai/as-titanic-submission-v01", "kernel_id": "68850169"}, {"ref": "sagarbarge/logistic-regression-titanic-dataset", "kernel_id": "68915917"}, {"ref": "terripietka/tap-titanic-v01-102524", "kernel_id": "68862629"}, {"ref": "terripietka/tap-titanic-submission-102524", "kernel_id": "68883835"}, {"ref": "hejuncheung/titanic-predict", "kernel_id": "68484141"}, {"ref": "abdullahshafqat27/let-s-start-with-titanic", "kernel_id": "68748810"}, {"ref": "sepehrkh/create-a-linearregression-model-feature-selection", "kernel_id": "68031711"}, {"ref": "shahilqurishi/fork-of-titanic-ml-model", "kernel_id": "68550784"}, {"ref": "ahmedessamshadeed/titanic-predictor", "kernel_id": "68507870"}, {"ref": "pedromunoz1/pm-titanic-v01", "kernel_id": "68577273"}, {"ref": "umitboyraz/getting-started-with-titanic", "kernel_id": "68671373"}, {"ref": "shreyastps30/titanic-rfmodel", "kernel_id": "68432390"}, {"ref": "hasibur013/logistic-regression-on-titanic-competition", "kernel_id": "68473464"}, {"ref": "josemiguelterron/titanic-survival-project", "kernel_id": "68892105"}, {"ref": "sherif101/titanic-machine-learning-logistic-regression", "kernel_id": "68023055"}, {"ref": "lee0seo/first-kaggle-with-randomforestclassifier", "kernel_id": "68319390"}, {"ref": "kai0121/python", "kernel_id": "68336314"}, {"ref": "manojkamaraju/titanic-report", "kernel_id": "68180147"}, {"ref": "filippogotta/titanic-python", "kernel_id": "68350210"}, {"ref": "shreypatel11/dm-hw2", "kernel_id": "68511552"}, {"ref": "hgdkumarasinghe/titanic-machine-learning-from-disaster", "kernel_id": "68896532"}, {"ref": "artificialgrape/pytorch-titanic-mlp", "kernel_id": "68220799"}, {"ref": "solzeta/lab-titanic", "kernel_id": "68864164"}, {"ref": "anthonymoeder/ajm-titanic-v01", "kernel_id": "68850901"}, {"ref": "alexchilton/titanic", "kernel_id": "68462162"}, {"ref": "roshnpn19/notebookeb28cf6d75", "kernel_id": "68530605"}, {"ref": "hahathe/titanic-rf", "kernel_id": "68911752"}, {"ref": "mayagarsar/iml-practical-10-226270307028", "kernel_id": "68325773"}, {"ref": "haseebindata/getting-started-with-titanic", "kernel_id": "68053832"}, {"ref": "armandoming/titanic", "kernel_id": "68589099"}, {"ref": "m0hamedali/titanic-analysis", "kernel_id": "68137615"}, {"ref": "jayshreeodedra/iml-practical-10-226270307079", "kernel_id": "68534057"}, {"ref": "parmarvibhuti/iml-practical-10-226270307085", "kernel_id": "68383933"}, {"ref": "karanodii/iml-practical-10-226270307082", "kernel_id": "68389433"}, {"ref": "karanodii/iml-practical-11-226270307082", "kernel_id": "68389521"}, {"ref": "kishanjoshi9099/iml-practical-10-226270307041", "kernel_id": "68179417"}, {"ref": "usmannasir153/titanic-survived-prediction", "kernel_id": "68140675"}, {"ref": "sinafadakhah/titanic-survival-prediction-with-random-forest", "kernel_id": "68508185"}, {"ref": "voducdai/2001215688-btvn-10", "kernel_id": "68484907"}, {"ref": "poojan010202/features-old", "kernel_id": "68566453"}, {"ref": "saqibhussain10/eda-on-titanic-dataset", "kernel_id": "68940419"}, {"ref": "gaelmedina/titanic-tutorial", "kernel_id": "68103779"}, {"ref": "romanlisachov/building-decision-trees", "kernel_id": "68670746"}, {"ref": "rehamhussam/reham-getting-started-with-titanic", "kernel_id": "68470429"}, {"ref": "rickyfranco/titanicnotebook", "kernel_id": "68527504"}, {"ref": "jralphur/cs4650-titanic", "kernel_id": "68432903"}, {"ref": "alexanderryanalbert/titanic-ml-project-aralbert", "kernel_id": "68939630"}, {"ref": "siddiquiasim/assignment-2-part-2-final", "kernel_id": "68419271"}, {"ref": "siddiquiasim/assignment-2-part-1-final", "kernel_id": "68410016"}, {"ref": "siddiquiasim/ml-assignment-1-part-2", "kernel_id": "68109544"}, {"ref": "siddiquiasim/ml-assignment-1-part-1", "kernel_id": "68109268"}, {"ref": "salahhossam10/titanic-survival-prediction", "kernel_id": "68432969"}, {"ref": "slay13/practice", "kernel_id": "68047790"}, {"ref": "cemreremkarabay/outlier-the-silent-killer", "kernel_id": "68566533"}, {"ref": "vishwasharish/notebookf725af4d17", "kernel_id": "68507796"}, {"ref": "leonardovpaiva/notebookef95468788", "kernel_id": "68871021"}, {"ref": "juliaarealmarques/logistic-model-a-j", "kernel_id": "68429862"}, {"ref": "charlierothschild/titanic-survival-prediction", "kernel_id": "68360656"}, {"ref": "emmanouilgionanidis/titanic-baseline-approach", "kernel_id": "68684631"}, {"ref": "praveenrjit/notebook36684118c3", "kernel_id": "68421455"}, {"ref": "benjaminahmadvieri/tugas-2-0", "kernel_id": "68064096"}, {"ref": "khoiralanshori/exercise-arithmetic-and-variables", "kernel_id": "68047170"}, {"ref": "rojazauhair/notebook63855e16d6", "kernel_id": "68053677"}, {"ref": "ndikapebriyanta/exercise-arithmetic-and-variables", "kernel_id": "68046252"}, {"ref": "muhammadadityaajis/notebook6c87022306", "kernel_id": "68052852"}, {"ref": "azizahzulmi/exercise-arithmetic-and-variables", "kernel_id": "68045341"}, {"ref": "arielazhari/exercise-arithmetic-and-variables", "kernel_id": "68048223"}, {"ref": "aldenexx27/notebook828751c87e", "kernel_id": "68054879"}, {"ref": "sachinkumavat10/randomforest-classification", "kernel_id": "68550450"}, {"ref": "aliaramadhiningrum/tugas2", "kernel_id": "68046566"}, {"ref": "firmanaydo/exercise-arithmetic-and-variables", "kernel_id": "68055733"}, {"ref": "ameliakharlie/notebooke4985bdbf8", "kernel_id": "68056572"}, {"ref": "ameliakharlie/exercise-arithmetic-and-variables", "kernel_id": "68046998"}, {"ref": "nazwaadelia/exercise-arithmetic-and-variables", "kernel_id": "68046619"}, {"ref": "mrezapratama/exercise-arithmetic-and-variables", "kernel_id": "68056966"}, {"ref": "damartriadi/notebook818c6bdd32", "kernel_id": "68060706"}, {"ref": "raflihussainiharahap/exercise-arithmetic-and-variables", "kernel_id": "68050151"}, {"ref": "yassineramdani/titanic", "kernel_id": "68657698"}, {"ref": "yuliaanggriani/exercise-arithmetic-and-variables", "kernel_id": "68057350"}, {"ref": "nirmayasari/exercise-arithmetic-and-variables", "kernel_id": "68045327"}, {"ref": "ryanmaegley/titanic-competition-solution", "kernel_id": "68110923"}, {"ref": "dharsandiyabansari/iml-practical-10-216270307104", "kernel_id": "68398490"}, {"ref": "alyaraliva/notebookc42215d1ca", "kernel_id": "68059422"}, {"ref": "khumairaraa/notebook3f4fc5523e", "kernel_id": "68060205"}, {"ref": "queenaakiko/tugas-2-prak-algoritma-dan-pemrograman", "kernel_id": "68047735"}, {"ref": "viviansucirahmadany/exercise-arithmetic-and-variables", "kernel_id": "68045533"}, {"ref": "nopalmuis/exercise-arithmetic-and-variables", "kernel_id": "68049236"}, {"ref": "putrinailah/exercise-arithmetic-and-variables", "kernel_id": "68063021"}, {"ref": "muhammadrizkizaidan/exercise-arithmetic-and-variables", "kernel_id": "68062711"}, {"ref": "firmanramadhan9/notebookfa3546dfef", "kernel_id": "68071089"}, {"ref": "tiaraanindya/prak-algoritma-pemrograman", "kernel_id": "68049472"}, {"ref": "mireiamartinez/getting-started-with-titanic", "kernel_id": "68864448"}, {"ref": "samiyildiz/samiylztitanic", "kernel_id": "68913543"}, {"ref": "naciminch/getting-started-with-titanic", "kernel_id": "68104366"}, {"ref": "denizunlu1/t-tan-c-y", "kernel_id": "68150984"}, {"ref": "juliankraus/randomforest", "kernel_id": "68699606"}, {"ref": "zayyan134/titanic-dataset-notebook", "kernel_id": "68167604"}, {"ref": "dadamtreece/at-titanic-v01", "kernel_id": "68202737"}, {"ref": "dadamtreece/at-titanic-submission", "kernel_id": "68209855"}, {"ref": "sayeedobaida/exercise-arithmetic-and-variables", "kernel_id": "68588097"}, {"ref": "mikhailsokolov2/sokolovmikhail", "kernel_id": "68353316"}, {"ref": "lopoldthierry/notebookb067041d1b", "kernel_id": "68381930"}, {"ref": "devilschord/exercise-arithmetic-and-variables", "kernel_id": "68405167"}, {"ref": "kadidaro/exercise-arithmetic-and-variables", "kernel_id": "68576437"}, {"ref": "dustinbarton/db-titanic-v01", "kernel_id": "68437973"}, {"ref": "yashrajroy/titanic-prediction-by-roy", "kernel_id": "68743547"}, {"ref": "daventor/notebook4d09bd4d01", "kernel_id": "68494180"}, {"ref": "moahmed22/titanic-survival-prediction", "kernel_id": "68607187"}, {"ref": "rdaaaa/notebook5e9f0221f1", "kernel_id": "68917888"}, {"ref": "sammyhua/homework-final", "kernel_id": "68569935"}, {"ref": "ghanashyam1/exploratory-data-analysis-eda", "kernel_id": "68900731"}, {"ref": "masterofnone76/titanic-using-basic-classification-algorithms", "kernel_id": "68733052"}, {"ref": "pavankumarkasani/pavan-kumar-kasani-titanic-v01", "kernel_id": "68772051"}, {"ref": "egorkhrenov/notebook9053932bc7", "kernel_id": "68850912"}, {"ref": "rominaemilova/getting-started-with-titanic", "kernel_id": "68864774"}, {"ref": "pablosepzor/prueba-titanic-code", "kernel_id": "68863803"}, {"ref": "fernandosalim123/dsf-fernando-titanic", "kernel_id": "68884836"}, {"ref": "ekaterina721/titanic-123456", "kernel_id": "68909266"}, {"ref": "mdeleon1/notebooka9dd9f3c2e", "kernel_id": "68994941"}, {"ref": "zhuravlevviktor/surviving-passengers-and-loyalty", "kernel_id": "69513018"}, {"ref": "swayanjeetmishra/titanic-prediction", "kernel_id": "69993982"}, {"ref": "mmontiel/itj-labs-introduction-to-deep-learning-day-2", "kernel_id": "69274256"}, {"ref": "ameer214/am-titanic-v01", "kernel_id": "69089470"}, {"ref": "ameer214/am-titanic-submission", "kernel_id": "69091273"}, {"ref": "juunnn/notebook2ea42cfee0", "kernel_id": "69135872"}, {"ref": "derderi/titanic-ae", "kernel_id": "69003705"}, {"ref": "sergiorot/titanic-testing", "kernel_id": "69145451"}, {"ref": "capric0rnus/titanic-survival", "kernel_id": "69957612"}, {"ref": "danipaez/titanic-ml-implementation", "kernel_id": "69307877"}, {"ref": "peeweesuper/titanic-wallinson", "kernel_id": "69354880"}, {"ref": "paulynnat/getting-started-with-titanic", "kernel_id": "69834212"}, {"ref": "vinvel/notebookfasfwe22121", "kernel_id": "69634145"}, {"ref": "skilly/smk-titanic-submission", "kernel_id": "69115500"}, {"ref": "skilly/smk-titanic-competition", "kernel_id": "69102254"}, {"ref": "mmakemd/lecture-2-trees", "kernel_id": "69472160"}, {"ref": "sangeeth29/data-mining-task-1-sangeeth-santhosh", "kernel_id": "69633538"}, {"ref": "deeptanshukumar/kaggle-titanic-prediction", "kernel_id": "69449060"}, {"ref": "ericwadowsky/wadowsky-titanic", "kernel_id": "69369030"}, {"ref": "istiaqahmedfahad/a-systematic-approach", "kernel_id": "69900126"}, {"ref": "swathig2406/dm-hw-2", "kernel_id": "69609830"}, {"ref": "sharifmabdullah/tabnet-deep-neural-network-for-tabular-data", "kernel_id": "69901795"}, {"ref": "vishnubhattacharya/fml-all-progs", "kernel_id": "69118412"}, {"ref": "huazhiwan/7112056086-hw2", "kernel_id": "69420499"}, {"ref": "quello/vk-titanic-submission", "kernel_id": "69102725"}, {"ref": "quello/vk-titanic-v01", "kernel_id": "69099198"}, {"ref": "mohammadtalaat7/titanic-machine-learning-from-disaster", "kernel_id": "69416415"}, {"ref": "cokeane/notebook761296a29e", "kernel_id": "69686219"}, {"ref": "bilalakgz/survival-pred-ml-ensemble-methods-98-2-acc", "kernel_id": "69743314"}, {"ref": "lochanraju/titanic-nb", "kernel_id": "69682947"}, {"ref": "aaronmanley/titanic", "kernel_id": "69098930"}, {"ref": "priyanshu594/ml-for-beginners-titanic-survival-prediction", "kernel_id": "69643474"}, {"ref": "mdjubaerhosain/titanic-machine-learning-from-eda-ml", "kernel_id": "69901390"}, {"ref": "arvikj/data-mining-hw-2-task-1", "kernel_id": "69561147"}, {"ref": "mo7amed3atf/titanic-dataset-survival-prediction-using-gaussian", "kernel_id": "69774175"}, {"ref": "mariochao/titanic-machine-learning", "kernel_id": "69886501"}, {"ref": "s4mik4dr/titanic-rd", "kernel_id": "69875376"}, {"ref": "omarpi/high-accuracy", "kernel_id": "69756110"}, {"ref": "javiergarciaescobar/notebookd1c124b503", "kernel_id": "69145149"}, {"ref": "tenghuanghsuen/notebook4f98236b8d", "kernel_id": "69364389"}, {"ref": "kalydryhmn/tatanic-prediction", "kernel_id": "69942459"}, {"ref": "ahmednoorim/titanic-survival-prediction", "kernel_id": "69713964"}, {"ref": "pandeyajit282/titanic", "kernel_id": "69899152"}, {"ref": "aya2012001/titanic-logistic-regression", "kernel_id": "69432470"}, {"ref": "georgeballos/titanic-data-preprocessing-w-model-tuning", "kernel_id": "69334091"}, {"ref": "kamruzzamanasif/bsse-1217-top-solution", "kernel_id": "69901669"}, {"ref": "sifatsikder/titanic", "kernel_id": "69900189"}, {"ref": "sifatsikder/titanic-solution-2", "kernel_id": "69903768"}, {"ref": "abjpaul/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "69901351"}, {"ref": "kanittanm/titanic-survival-rate-prediction-model", "kernel_id": "69391738"}, {"ref": "pranaydeepkorada/how-to-deal-with-missing-values", "kernel_id": "69849935"}, {"ref": "rifahtashfihafaria/titanic-trial-1213", "kernel_id": "69898448"}, {"ref": "fahimmahmud1231/notebookfe4973c6db", "kernel_id": "69899157"}, {"ref": "manuelgarcaplaza/lab-titanicb", "kernel_id": "69145085"}, {"ref": "annashport/titanic-eda", "kernel_id": "69687874"}, {"ref": "rufidatulradium/titanic", "kernel_id": "69901991"}, {"ref": "marlenatpanagiotakou/ieee-ntua-sb-ml-team-titanic-with-tuning", "kernel_id": "69355509"}, {"ref": "ericychoi/data-mining-hw2", "kernel_id": "69684958"}, {"ref": "pisitjanthawee13/everything-about-ensemble-learning-exploited", "kernel_id": "69982645"}, {"ref": "umeshk10/feature-selection-tutorial", "kernel_id": "69869289"}, {"ref": "umeshk10/how-to-deal-with-missing-values", "kernel_id": "69801110"}, {"ref": "dagyoung/241111-titanic-top-4-with-ensemble-modeling", "kernel_id": "69831915"}, {"ref": "ahmdayman/titanic-machine-learning-from-disaster-83-acc", "kernel_id": "69757083"}, {"ref": "alihasnainakram/decoding-titanic-survival-rates-fare-analysis", "kernel_id": "69338968"}, {"ref": "ronanhart23/titanic-submission-2", "kernel_id": "69261217"}, {"ref": "shazzadhossainhasib/titanic-1203", "kernel_id": "69900085"}, {"ref": "gregpballard/gpb-titanic-submission-v01", "kernel_id": "69052623"}, {"ref": "samoryejack/pd-titanic-submission1", "kernel_id": "69734290"}, {"ref": "illiakyselov/titanic-machine-learning-from-disaster", "kernel_id": "69943875"}, {"ref": "robertopark/1-titanic-machine-learning-from-disaster", "kernel_id": "69833172"}, {"ref": "ansarisaad/exercise-arithmetic-and-variables", "kernel_id": "69248901"}, {"ref": "momenfahmid/1227-titanic", "kernel_id": "69918944"}, {"ref": "jashnow/titanik-projesi-ss", "kernel_id": "69271744"}, {"ref": "hemant493/titanic-tutorial", "kernel_id": "69818538"}, {"ref": "amiteshchanda/titanic-prediction-tree-model-with-cv", "kernel_id": "69470349"}, {"ref": "abi2255kk/abilok-getting-started", "kernel_id": "69260216"}, {"ref": "nataliemonged/titanic-classification-randomforest", "kernel_id": "69175700"}, {"ref": "andrejeronimaguerra/titanic-survival-analysis-and-prediction", "kernel_id": "69834468"}, {"ref": "madeleineromero20/titanic-machine-learning-from-disaster", "kernel_id": "69168758"}, {"ref": "alexkazmirchuk/notebook80c6dc2306", "kernel_id": "69192540"}, {"ref": "saifullahrao/titanic-tutorial", "kernel_id": "69631034"}, {"ref": "mehzabinhaque1233/bsse-1233-titanic-2", "kernel_id": "69902413"}, {"ref": "alekso/titanic-survival-analysis", "kernel_id": "69857163"}, {"ref": "shubhamchetanshah/hw2-sshah232", "kernel_id": "69708154"}, {"ref": "arthurmatos09/titanic-projeto-final-coderhouse", "kernel_id": "69704758"}, {"ref": "daletere/titanic-dataset-analysis", "kernel_id": "69618976"}, {"ref": "yousefzahran/titanic-survival-prediction", "kernel_id": "69236107"}, {"ref": "fedorkaltiugin/titanic", "kernel_id": "69411222"}, {"ref": "ccmiles32/cse-572-hw2-task-1", "kernel_id": "69400250"}, {"ref": "sanjaypal123/notebook472f6fa281", "kernel_id": "69022468"}, {"ref": "seonghojeong2/titanic-simpletest", "kernel_id": "69288415"}, {"ref": "muhammedafsalpm/titanic-dataset-competition", "kernel_id": "69980300"}, {"ref": "abdelhamidnasser/titanic-ml-train", "kernel_id": "69256237"}, {"ref": "abdallahabuelftouh/titanic", "kernel_id": "69450581"}, {"ref": "balasaidulu23rs9p14/titanic-prediction", "kernel_id": "69567599"}, {"ref": "francescodantone/titanic-ml-from-disaster-xgboost", "kernel_id": "69411733"}, {"ref": "carlosgallardolabs/itj-labs-introduction-to-deep-learning-day-2", "kernel_id": "69353287"}, {"ref": "mdafarizkiyanto/titanic-exploratory-data-analysis", "kernel_id": "69474588"}, {"ref": "khondakertasniahoque/titanic", "kernel_id": "69899373"}, {"ref": "furkannzdl/titanic-0-80-accuracy", "kernel_id": "69906888"}, {"ref": "imranmansha/titanic-survival-analysis-and-model-building", "kernel_id": "69701916"}, {"ref": "lmtinez/titanic-competition", "kernel_id": "69760607"}, {"ref": "jahnavipaliwal/titanic-ml-from-disaster-rf", "kernel_id": "69298833"}, {"ref": "neeraj20042000/titanic-survival-with-random-forest-algo", "kernel_id": "69215381"}, {"ref": "mansi288/notebook647acd8c21", "kernel_id": "69545517"}, {"ref": "chaitalipathak/notebook243561f8c3", "kernel_id": "69326682"}, {"ref": "zirangshao/notebookfbaca75616", "kernel_id": "69196378"}, {"ref": "xinyang11010709/estimate-with-tidymodels-and-h2o-automl", "kernel_id": "69138632"}, {"ref": "habibamowafy/titanic-disaster", "kernel_id": "69434452"}, {"ref": "praveengurlinka00/titanic-modeling", "kernel_id": "69513509"}, {"ref": "nourhanelshafay/titanic-log-reg", "kernel_id": "69256526"}, {"ref": "alikhaled98/titanic", "kernel_id": "69432405"}, {"ref": "simonmenet/tp0609-menet", "kernel_id": "69817661"}, {"ref": "moridata/titanic-competition-high-accuracy-86", "kernel_id": "69268028"}, {"ref": "sineadogorman/titanic-2nd-final", "kernel_id": "69597587"}, {"ref": "bvt2409/survival-model-for-titanic-passengers", "kernel_id": "69847307"}, {"ref": "madihaabbasi/notebook050b1abf3e", "kernel_id": "69666499"}, {"ref": "niuniuchen/niuniuchen-final-titanic", "kernel_id": "69259826"}, {"ref": "jacobedelevine/titanicschool", "kernel_id": "69180794"}, {"ref": "colinsellers/cs4650-hw5", "kernel_id": "69180762"}, {"ref": "andywu222/getting-started-with-titanic", "kernel_id": "69198874"}, {"ref": "nicholastran561/homework-5", "kernel_id": "69177501"}, {"ref": "sophiavanessaarce/notebook8467b41ec9", "kernel_id": "69182283"}, {"ref": "vietha723/getting-started-with-titanic", "kernel_id": "69092229"}, {"ref": "providence42/kaggle-titanic-notebook-assignment-5", "kernel_id": "69220086"}, {"ref": "shrishtiswarnkar/pda-lab6", "kernel_id": "69736974"}, {"ref": "vleemk/titanic-exercise", "kernel_id": "69223027"}, {"ref": "kelseycoen/notebookec36b7ba5a", "kernel_id": "69674433"}, {"ref": "jamesmcgrath245/notebookd434b9c67e", "kernel_id": "69217039"}, {"ref": "devampnanavati/notebookd0b27d1a67", "kernel_id": "69547439"}, {"ref": "ankitsinghh07/titanic-logisticregression-and-visualization", "kernel_id": "69301436"}, {"ref": "xianwuzhao/hw02task1", "kernel_id": "69602681"}, {"ref": "rohansamuelg/task-1-data-mining-rohan-samuel-gangavarapu", "kernel_id": "69699573"}, {"ref": "shivamashokgupta/exercise-arithmetic-and-variables", "kernel_id": "69942505"}, {"ref": "lucasobrien1992/how-random-forests-really-work", "kernel_id": "69995278"}, {"ref": "lucasobrien1992/linear-model-and-neural-net-from-scratch", "kernel_id": "69402019"}, {"ref": "lucasobrien1992/fastai-lesson-5b-use-a-framework", "kernel_id": "69405258"}, {"ref": "nerann/titanic-advanced", "kernel_id": "69064995"}, {"ref": "nil2012/titanic-prediction-with-optuna-xgb-lgbm-cat", "kernel_id": "69507711"}, {"ref": "jenn1etang/fastai-lesson-5b-use-a-framework", "kernel_id": "69646416"}, {"ref": "jenn1etang/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "69405663"}, {"ref": "fraylinrobles/exercise-arithmetic-and-variables", "kernel_id": "69383711"}, {"ref": "alihasan06/exercise-arithmetic-and-variables", "kernel_id": "69325617"}, {"ref": "hasibabdullahsarker/titanic-basic-approach", "kernel_id": "69903018"}, {"ref": "wantangzhouzhou/get-started-with-titanic", "kernel_id": "69925908"}, {"ref": "yeaminmajumder/exercise-arithmetic-and-variables", "kernel_id": "69837531"}, {"ref": "rivino/aiml-l06-2024", "kernel_id": "69513741"}, {"ref": "furkanercan88/simple-and-fun-titanic-survival-prediction", "kernel_id": "69258950"}, {"ref": "neoguilde/pandas", "kernel_id": "69995786"}, {"ref": "aryannkaushikk/titanic-decisiontree-model", "kernel_id": "69854302"}, {"ref": "iamagamy/titanic-survival-secrets", "kernel_id": "69827647"}, {"ref": "nirmit27/titanic-tutorial", "kernel_id": "69608140"}, {"ref": "yassineramdani/titanic-3", "kernel_id": "69418419"}, {"ref": "yassineramdani/titanic-2", "kernel_id": "69404620"}, {"ref": "yassineramdani/titanic-test-3", "kernel_id": "69398883"}, {"ref": "yassineramdani/titanic-test-2", "kernel_id": "69358141"}, {"ref": "olgaole/titanic", "kernel_id": "69492752"}, {"ref": "burhanimtengwa/titan-ship-predictions", "kernel_id": "69255046"}, {"ref": "toratoms/titanic-xgboost", "kernel_id": "69466155"}, {"ref": "juliankraus/support-vector-machine", "kernel_id": "69575077"}, {"ref": "ibraheem201/bigdata", "kernel_id": "69847403"}, {"ref": "gabrafo/titanic-random-forests", "kernel_id": "69275098"}, {"ref": "samirii/titanic-ml-2024-2025", "kernel_id": "69343050"}, {"ref": "centrixgilfoyle/titanic", "kernel_id": "69233898"}, {"ref": "jhugengyu/hw25113056026", "kernel_id": "69418374"}, {"ref": "marcustyh/getting-started-with-titanic", "kernel_id": "69409716"}, {"ref": "scarletgg25/titanic", "kernel_id": "69636510"}, {"ref": "janethscoville/titanic-tutorial-1-6", "kernel_id": "69249295"}, {"ref": "josumerino/primer-ia-prueba", "kernel_id": "69143688"}, {"ref": "jorgevilchezsandoval/notebook-lab-ironhancks", "kernel_id": "69150697"}, {"ref": "marasnchezmarn/getting-started-with-titanic", "kernel_id": "69145353"}, {"ref": "emanzahid135/titanic-survival-prediction-competition", "kernel_id": "69161766"}, {"ref": "shehaabyasser/titanic-machine-learning", "kernel_id": "69256249"}, {"ref": "sudharanitallapally/titanic-passanger-survival-analysis", "kernel_id": "69062531"}, {"ref": "benshakiba/bds-titanic-submission", "kernel_id": "69076548"}, {"ref": "benshakiba/bds-titanic-v01", "kernel_id": "69067548"}, {"ref": "risingstaarrr/titanicsurvivaldataset", "kernel_id": "69226424"}, {"ref": "vedantanalytics/titanic-kaggle-rf", "kernel_id": "69171269"}, {"ref": "harunatakagi/notebook-titanic", "kernel_id": "69223670"}, {"ref": "terencekoek/titanic", "kernel_id": "69285671"}, {"ref": "kleedg/titanic-random-forest", "kernel_id": "69273571"}, {"ref": "bhanukool001/titanic-survival-prediction-with-python", "kernel_id": "69254635"}, {"ref": "randyanubis/notebookf310d63cde", "kernel_id": "69256774"}, {"ref": "hayatosc/titanic-thefirsttrain", "kernel_id": "69369506"}, {"ref": "knghunter/titanic-model", "kernel_id": "69351614"}, {"ref": "gauravrajukamble/notebook31abc68e13", "kernel_id": "69305671"}, {"ref": "rbellthy/fastai-lesson-5b-use-a-framework", "kernel_id": "69969243"}, {"ref": "rbellthy/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "69969019"}, {"ref": "gazmendshehu/poor-little-ship", "kernel_id": "69357794"}, {"ref": "youngslab/titanic-test", "kernel_id": "69481565"}, {"ref": "kirandhanraj/random-forest-classifier", "kernel_id": "69519713"}, {"ref": "kirandhanraj/notebookb6528a1bd7", "kernel_id": "69520419"}, {"ref": "srijitpaulabin/essemblemodel-by-srijit", "kernel_id": "69608435"}, {"ref": "bezbashni/titanic-competition-regression-with-targeted-enc", "kernel_id": "69893424"}, {"ref": "bezbashni/titanic-competition-simple-regression", "kernel_id": "69791975"}, {"ref": "tnr1337/titanicml", "kernel_id": "69713437"}, {"ref": "tnr1337/titanic-data-science-eda-and-ml", "kernel_id": "69742777"}, {"ref": "tedcodesby/hw2-dm-shreyansmehta", "kernel_id": "69685624"}, {"ref": "jagpreetsinghsaigal/titanic-survivor-analysis", "kernel_id": "69995095"}, {"ref": "ivansantonastase/notebookbdba11af63", "kernel_id": "69778876"}, {"ref": "chrisgoff27/notebook2fe2a9ed06", "kernel_id": "69786674"}, {"ref": "leonelbrena/titanic-project", "kernel_id": "69939526"}, {"ref": "tasnimsamad/titanic-competition-1208", "kernel_id": "69901864"}, {"ref": "marwaneladawi/titanic-rfc", "kernel_id": "69952886"}, {"ref": "xiefei/cross-val2", "kernel_id": "70333656"}, {"ref": "gorn708/linear-modeling", "kernel_id": "70252943"}, {"ref": "jarellano01/notebook9cd1fd56da", "kernel_id": "70729704"}, {"ref": "mgranada/a-cat-ml-writen-to-take-advantage-of-polars-speed", "kernel_id": "70337763"}, {"ref": "rajivgangadharan/titanic-survivors-using-model-stacking", "kernel_id": "70970614"}, {"ref": "niramay/linear-model-and-neural-net-from-scratch", "kernel_id": "70648786"}, {"ref": "manasakrishna/notebookdf5fa47d46", "kernel_id": "70798704"}, {"ref": "muhammedhamza/titanic-machine-learning-from-disaster", "kernel_id": "70621676"}, {"ref": "tyswenson/titanic-notebook", "kernel_id": "70109135"}, {"ref": "syntheticprogrammer/ml-models-implementation-on-titanic", "kernel_id": "70787023"}, {"ref": "gopalakrishnanamsha/titanic-prediction-from-beginner-to-advanced", "kernel_id": "70187542"}, {"ref": "aseediraqi/titanic-classification-ml03", "kernel_id": "70517100"}, {"ref": "nirmalaramakrishnan/titanic-survivor-classification", "kernel_id": "70220987"}, {"ref": "yyannnnnn/catboost-titanic", "kernel_id": "70681404"}, {"ref": "olaelshiekh/titanic-automation", "kernel_id": "70770509"}, {"ref": "victorpaolo/notebook40c722d243", "kernel_id": "70576365"}, {"ref": "kawsarahmad/titanic-survivor-prediction-using-randomforest", "kernel_id": "70977812"}, {"ref": "zhppianlena/titanic-data-science-solutions-learning", "kernel_id": "70069903"}, {"ref": "xbrunocruzx/titanic-survival-classification", "kernel_id": "70456833"}, {"ref": "rickarendsen/logistic-regression-binary-classification", "kernel_id": "70080855"}, {"ref": "rickarendsen/titanic-logistic-regression-age-prediction", "kernel_id": "70794251"}, {"ref": "hesitateso/titanic", "kernel_id": "70635642"}, {"ref": "mr49online/model-catboost-titanic", "kernel_id": "70156093"}, {"ref": "dawidkoterwas/kaggle-workshops", "kernel_id": "70356080"}, {"ref": "shmohseni/titanic", "kernel_id": "70425236"}, {"ref": "mo7amed3atf/titanic-dataset-prediction-using-gaussian-nv", "kernel_id": "70165776"}, {"ref": "anwarhawash/titanicbycatboost", "kernel_id": "70441113"}, {"ref": "loclaffineur/titanic-classification-project", "kernel_id": "70286615"}, {"ref": "panosru/titanic-ai-example-tensorflow-keras", "kernel_id": "70736273"}, {"ref": "panosru/titanic-ai-example-pytorch", "kernel_id": "70969050"}, {"ref": "panosru/titanic-ai-example-sklearn", "kernel_id": "70970117"}, {"ref": "muyassarabdullah/titanic-muyas", "kernel_id": "70172699"}, {"ref": "tkdwbiao/titanic", "kernel_id": "70143193"}, {"ref": "yunsuxiaozi/titanic-yunbase", "kernel_id": "70156760"}, {"ref": "ahmedmabouelnaga/titanic-anaga", "kernel_id": "70342180"}, {"ref": "danielvasilevko22/titanic-random-forest-model", "kernel_id": "70296382"}, {"ref": "winnernikita27/titanic-prediction-0-78-public-version", "kernel_id": "70363660"}, {"ref": "paufortiana/titanic-machine-learning-from-disaster-keras", "kernel_id": "70604859"}, {"ref": "harshkoli08/getting-started-with-titanic", "kernel_id": "70581251"}, {"ref": "annashport/l5-keras-deep-learning-on-titanic-data", "kernel_id": "70113849"}, {"ref": "rohithaaiswarya/titanic-prediction-from-beginner-to-advance-273c32", "kernel_id": "70432971"}, {"ref": "rohithaaiswarya/titanic-survival-prediction", "kernel_id": "70433402"}, {"ref": "dlopezbm/getting-started-with-titanic", "kernel_id": "70352153"}, {"ref": "ebedmeleckhayford/ebed-hayford-titanic-progress-final", "kernel_id": "70148550"}, {"ref": "sandyg6/titanic", "kernel_id": "70471431"}, {"ref": "annay98/titanic-survival-prediction", "kernel_id": "70698083"}, {"ref": "mayukhbaruah/started-with-titanic", "kernel_id": "70152004"}, {"ref": "ilnurr/kharisov-ida-idl-homework-04", "kernel_id": "70945153"}, {"ref": "lild1tz/notebookcdf8c602a9", "kernel_id": "70363037"}, {"ref": "lild1tz/bot-check-start", "kernel_id": "70362779"}, {"ref": "zyh1104/titanic-suiji", "kernel_id": "70141950"}, {"ref": "mischa88/notebook71756e8995", "kernel_id": "70324844"}, {"ref": "niteshchawla5/nc-titanic-dataset", "kernel_id": "70772291"}, {"ref": "kimmie7706/titanic-survival-prediction-kim", "kernel_id": "70721575"}, {"ref": "yousefrafat/titanic-survival-prediction", "kernel_id": "70981909"}, {"ref": "bakituner/titanic-cart", "kernel_id": "70039426"}, {"ref": "adarshsudheer/ds-labsheet-4", "kernel_id": "70433918"}, {"ref": "jawad4605/titanic", "kernel_id": "70006559"}, {"ref": "shafi4/titanic-prediction-of-survival", "kernel_id": "70584183"}, {"ref": "pritamdas01/titanic-randomforest", "kernel_id": "70193812"}, {"ref": "ridwanchowdhury336/titanic-survival", "kernel_id": "70801312"}, {"ref": "rehamh/titanic-survival-prediction", "kernel_id": "70609656"}, {"ref": "sumonreza6251/sumon625titanic", "kernel_id": "70803764"}, {"ref": "sumonreza6251/titanic-survival-prediction-sumon", "kernel_id": "70796233"}, {"ref": "wmulhearn/wm-titanic-notebook", "kernel_id": "70994816"}, {"ref": "kuvars/titanic-basic-eda-for-beginners", "kernel_id": "70721929"}, {"ref": "sepehrkh/the-simplest-model-random-forest-model", "kernel_id": "70340515"}, {"ref": "anfalatgoogle/pytorch-developer-s-guide-to-jax-fundamentals", "kernel_id": "70131052"}, {"ref": "snjysbu/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "70078734"}, {"ref": "snjysbu/fastai-lesson-6a-random-forests", "kernel_id": "70079791"}, {"ref": "snjysbu/fastai-lesson-5b-use-a-framework", "kernel_id": "70079302"}, {"ref": "lazylp/titanic-0-1", "kernel_id": "70154558"}, {"ref": "joelreyesgu/notebook2fe2a9ed06", "kernel_id": "70115013"}, {"ref": "klcc070/titanic-stocking-with-ga", "kernel_id": "70030855"}, {"ref": "qucduysia/titanic-classification", "kernel_id": "70756679"}, {"ref": "tinflorek/titanic2", "kernel_id": "70395935"}, {"ref": "kamaleshkpn2004/titanic-1", "kernel_id": "70260882"}, {"ref": "alexchilton/titanic-comp-simclr", "kernel_id": "70864325"}, {"ref": "harshityadav983936/cleaning-titenic-dataset", "kernel_id": "70018444"}, {"ref": "mumtazomarzai/step-by-step-basic-titanic-data-analysis", "kernel_id": "70803387"}, {"ref": "bchoows/getting-started-with-titanic", "kernel_id": "70339895"}, {"ref": "omarsalah123/notebook710cd734b2", "kernel_id": "70111457"}, {"ref": "kratagyajain5846/titanic-survival-predictions", "kernel_id": "70462954"}, {"ref": "johawk/eda-to-prediction-dietanic", "kernel_id": "70323255"}, {"ref": "debanujroy/titanic", "kernel_id": "70191216"}, {"ref": "ralandrsvargaspea/titanic-competition", "kernel_id": "70307619"}, {"ref": "rojante/titanic-prediction", "kernel_id": "70207429"}, {"ref": "kennyloza/quien-sobrevivio-en-el-titanic", "kernel_id": "70266863"}, {"ref": "angelesclaure/titanicml", "kernel_id": "70128004"}, {"ref": "xinyang11010709/xgb-random-forest-workflow-and-grid-search", "kernel_id": "70010828"}, {"ref": "kylekishineff/titanic-machine-learning-from-disaster", "kernel_id": "70298009"}, {"ref": "vanitech8/titanic-survival-prediction-ml", "kernel_id": "70927057"}, {"ref": "mostafamamdouhhassan/titanic-survivals-predection", "kernel_id": "70587029"}, {"ref": "sineadogorman/titanic-testing-out", "kernel_id": "70044031"}, {"ref": "gaelmedina/titanic", "kernel_id": "70484418"}, {"ref": "deibykwl/titanic-ml", "kernel_id": "70929384"}, {"ref": "muhammadnoumanzia/predicting-titanic-survival-insights", "kernel_id": "70437368"}, {"ref": "ujjawalnagar/data-preprocessing-guide", "kernel_id": "70161492"}, {"ref": "phattarapols/titanic-prediction-ml", "kernel_id": "70038779"}, {"ref": "lucasobrien1992/fastai-lesson-6a-random-forests-modified-for-space", "kernel_id": "70916872"}, {"ref": "t8101349/titanic", "kernel_id": "70088332"}, {"ref": "elfgkk/titanic", "kernel_id": "70269616"}, {"ref": "noureddineridanr96/titanic-maching-learning-from-disaster", "kernel_id": "70971867"}, {"ref": "bilalabbasjassam/getting-start-with-titanic", "kernel_id": "70680956"}, {"ref": "davytoch/titanic-survival-predictions", "kernel_id": "70781781"}, {"ref": "jcgohr/titanic-notebook", "kernel_id": "70372985"}, {"ref": "merehansheikh/exercise-arithmetic-and-variables", "kernel_id": "70763929"}, {"ref": "yaroslavverbovetskyi/fe-feature-importance-advanced-visualization-2", "kernel_id": "70688479"}, {"ref": "musayusufzai/mkhan1", "kernel_id": "70496453"}, {"ref": "marvn9/titanic-comp", "kernel_id": "70145257"}, {"ref": "katerynavytv/titanik-lab-4", "kernel_id": "70170029"}, {"ref": "itsgucci106/somalia-mental-health", "kernel_id": "70044885"}, {"ref": "dcz1234/ml-titanic", "kernel_id": "70487929"}, {"ref": "jadeyork/notebook179418daa4", "kernel_id": "70729362"}, {"ref": "nikki1016/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "70267936"}, {"ref": "sushmoydey1/titanic", "kernel_id": "70476860"}, {"ref": "ramf10/learning-titanic-data", "kernel_id": "70278213"}, {"ref": "joyanyango02/notebook895575c897", "kernel_id": "70969580"}, {"ref": "yasirwaseem99/notebookad6e4242ae", "kernel_id": "70103874"}, {"ref": "shahedaafreen/titanic-survivor", "kernel_id": "70029837"}, {"ref": "mktsuchiya/titanic-lightgbm", "kernel_id": "70332791"}, {"ref": "mainulislamnaym/getting-start-with-titanic", "kernel_id": "70101704"}, {"ref": "alexanderhernandezec/primera-competencia-de-titanic", "kernel_id": "70607729"}, {"ref": "istiakiqbal/titanic-problem-it6", "kernel_id": "70795848"}, {"ref": "chitsanfei/titanic-machine-learning-from-disaster", "kernel_id": "70155107"}, {"ref": "alian377/exercise-arithmetic-and-variables", "kernel_id": "70291363"}, {"ref": "yachanabhawsar/exercise-intro-to-lists", "kernel_id": "70424991"}, {"ref": "gilbertobotasjr/getting-started-with-titanic", "kernel_id": "70177716"}, {"ref": "abdullahiyunusa2821/notebookfe09a18cfb", "kernel_id": "70202660"}, {"ref": "lyypaul/titanic", "kernel_id": "70373500"}, {"ref": "kartikeyepandey/titanic-survival-dataset", "kernel_id": "70569369"}, {"ref": "garrettstache/garrett-titanic-notebook", "kernel_id": "70683964"}, {"ref": "paolaandreaortiz/titanic-survivors", "kernel_id": "70612435"}, {"ref": "shilashahinasi/titanic-machine-learning-from-disaster", "kernel_id": "70464601"}, {"ref": "marcpradell/getting-started-with-titanic", "kernel_id": "70573521"}, {"ref": "oyshidhar/notebookc07c099475", "kernel_id": "70779645"}, {"ref": "shameerahmed3339/first-titanic", "kernel_id": "70666356"}, {"ref": "shameerahmed3339/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "70666306"}, {"ref": "aurpitadaas/titanic-machine", "kernel_id": "70704950"}, {"ref": "javierrodriguezia/notebooke654fded81", "kernel_id": "70814814"}, {"ref": "abdallasera/titanic-project-example", "kernel_id": "70980476"}, {"ref": "ulfatjahan/ulfat-jahan", "kernel_id": "70806662"}, {"ref": "pw345faa/tyuleneva-titanic-ml", "kernel_id": "70966183"}, {"ref": "mchahhou/titanic-pytorch-m2i-mql", "kernel_id": "71310868"}, {"ref": "fujimoto/notebook-2024-1121-titanic", "kernel_id": "71316967"}, {"ref": "georgy671/titanic-log-reg-mult", "kernel_id": "71340211"}, {"ref": "syedazw/titanic-survival-eda", "kernel_id": "71061214"}, {"ref": "carlosmatos97/titanic-with-feature-engineering-and-mlp", "kernel_id": "71503298"}, {"ref": "mbdutt/titanic-insights-predictions", "kernel_id": "71450114"}, {"ref": "yuyuan1208/classical-case2-ad-click", "kernel_id": "71567781"}, {"ref": "mcpolabearlow/beginner-titanic-logistic-regression", "kernel_id": "71466177"}, {"ref": "mos3santos/titanic-exploratory", "kernel_id": "71977143"}, {"ref": "friedrichjahns/titanic-svc", "kernel_id": "71347363"}, {"ref": "nicolaskylilis/survival-prediction-classification-with-tfgb-trees", "kernel_id": "71897431"}, {"ref": "shreysrivastava15/bigdataproject", "kernel_id": "71307250"}, {"ref": "murtadhayaseen/titanic-11", "kernel_id": "71180128"}, {"ref": "andrexibiza/titanic-machine-learning-from-disaster", "kernel_id": "71313702"}, {"ref": "pythonafroz/data-preprocessing-methods-used-in-machinelearning", "kernel_id": "71965663"}, {"ref": "graystar/241129-titanic-xgboost", "kernel_id": "71798586"}, {"ref": "diogovieiramelo/titanic-regressao-logistica", "kernel_id": "71508744"}, {"ref": "emanafi/titanic-competition", "kernel_id": "71918371"}, {"ref": "bluchuay/getting-started-with-titanic", "kernel_id": "71900068"}, {"ref": "lucienkalmogo/notebook377b1392d6", "kernel_id": "71926516"}, {"ref": "aminalswidi289/predicting-survival-on-the-titanic", "kernel_id": "71867405"}, {"ref": "prosacientfica/titanic-challenge-kaggle", "kernel_id": "71982697"}, {"ref": "sobiahashmi/titanic-decision-tree-classifier", "kernel_id": "71884642"}, {"ref": "mrayushagrawal/titanic-competition", "kernel_id": "71387443"}, {"ref": "farhanapraxy/survival-prediction", "kernel_id": "71117098"}, {"ref": "annashport/titanic-decision-tree-predicting-survival-outcom", "kernel_id": "71670835"}, {"ref": "barzgryaar/titanic-eda-notebook", "kernel_id": "71404149"}, {"ref": "sergiykrishtal/titanic-machine-learning-from-disaster", "kernel_id": "71717243"}, {"ref": "kamilayanchenko/merging-fe-prediction-xgb-lgb-logr-linr", "kernel_id": "71763408"}, {"ref": "saadatkhalid/titanic-eda-prediction", "kernel_id": "71152466"}, {"ref": "marcosdatadev/notebookd6f5ef6f90", "kernel_id": "71434352"}, {"ref": "fidelisefomah/titanic-ml-v2-3", "kernel_id": "71289059"}, {"ref": "lsc1125/titanic", "kernel_id": "71296683"}, {"ref": "abdelhakkana/0-78-accuracy-top-21", "kernel_id": "71640231"}, {"ref": "b1kumar/introduction-to-machine-learning-with-scikit-learn", "kernel_id": "71465981"}, {"ref": "estebanbit/titanic-esteban", "kernel_id": "71272966"}, {"ref": "ardava/titanic-machine-learning-from-disaster", "kernel_id": "71486225"}, {"ref": "cyyapye/titanic", "kernel_id": "71990991"}, {"ref": "ashikshahriar/titanic-advanced", "kernel_id": "71162209"}, {"ref": "galuhajcng/titanic-passengers-prediction", "kernel_id": "71401390"}, {"ref": "dyyahqurniatun/titanic-competition", "kernel_id": "71007441"}, {"ref": "kimmie7706/titanic-cat-boost", "kernel_id": "71359903"}, {"ref": "kimmie7706/tatinic-survival-prediction", "kernel_id": "71279836"}, {"ref": "rdjarbeng/how-random-forests-really-work", "kernel_id": "71402192"}, {"ref": "adeshdeshmukh/titanic-notebook", "kernel_id": "71162821"}, {"ref": "jokartosh/titanic-competition", "kernel_id": "71051777"}, {"ref": "vatosoarazafi/titanic-ml", "kernel_id": "71482779"}, {"ref": "kzxiao/titanic-with-pycaret", "kernel_id": "71982081"}, {"ref": "sagarbarge/titanic-dataset-eda-modeling", "kernel_id": "71488556"}, {"ref": "m1z2n3r4a5/titanic-machine-learning-from-disaster", "kernel_id": "71347046"}, {"ref": "rimkomatic/titanic-passengers-prediction", "kernel_id": "71424649"}, {"ref": "leedev10/logisticregressiontitanic", "kernel_id": "71871359"}, {"ref": "sohamwaghe/titanic-data-logistic-regression", "kernel_id": "71243894"}, {"ref": "karodomanska/titanic-machine-learning-from-disaster", "kernel_id": "71857091"}, {"ref": "elixanerey/data-analysis-titanic-project", "kernel_id": "71268731"}, {"ref": "doniamoslehmahmoud/descriptive-statistics-data-cleaning-visualization", "kernel_id": "71969630"}, {"ref": "jovicab/titanic-data-analysis-project", "kernel_id": "71814380"}, {"ref": "mohamedelsadek44/titanic-data-visualization", "kernel_id": "71498050"}, {"ref": "icbiticsuen/final-model7124", "kernel_id": "71168742"}, {"ref": "shravyaksuresh/titanic-ml-from-disaster", "kernel_id": "71524762"}, {"ref": "raghavanmuthuraman/notebooked2e817a08", "kernel_id": "71527620"}, {"ref": "mariajosealmeyda/predicting-titanic-survivors", "kernel_id": "71191599"}, {"ref": "roseivy/titanic-sub-no-1", "kernel_id": "71446281"}, {"ref": "zafarali27/titanic-survival-predictor-random-forest", "kernel_id": "71891804"}, {"ref": "everythingpython/0-78947-titanic-my-last-attempt", "kernel_id": "71635591"}, {"ref": "omarashraf3/titanic-preprocessing-and-classification-models", "kernel_id": "71669152"}, {"ref": "abdosamehibrahim/data-analysis-titanic", "kernel_id": "71619910"}, {"ref": "arwaabdelkawy/titanic", "kernel_id": "71625384"}, {"ref": "jatayu000/jatayu-awm", "kernel_id": "71656461"}, {"ref": "jatayu000/titanic-jatayu000", "kernel_id": "71375661"}, {"ref": "otienomartinonyango/titanic-predictions", "kernel_id": "71410776"}, {"ref": "oksanafrolova/titanic-clf", "kernel_id": "71059505"}, {"ref": "missssha/titanic", "kernel_id": "71822492"}, {"ref": "mohamedtamerr/titanic", "kernel_id": "71549533"}, {"ref": "vagneraraujosantos/titanic-tutorial", "kernel_id": "71285114"}, {"ref": "joannanplkrk/titanic-eda-and-model", "kernel_id": "71978862"}, {"ref": "ghimpugelu/notebook1de3eaa8ca", "kernel_id": "71908828"}, {"ref": "imantsdolgins/titanic-survival-predictions-beginner", "kernel_id": "71013293"}, {"ref": "sineadogorman/titanic-final-sinead", "kernel_id": "71429813"}, {"ref": "bunyager/titanic-survivors-1", "kernel_id": "71625565"}, {"ref": "himiteshsahai/notebookec6625a317", "kernel_id": "71174863"}, {"ref": "kekoasantana/titanic-ml", "kernel_id": "71361466"}, {"ref": "jaspercch/titanic-lab", "kernel_id": "71812884"}, {"ref": "jenn1etang/fork-of-fastai-lesson-6a-random-forests-b0a1d1", "kernel_id": "71213960"}, {"ref": "jenn1etang/fastai-lesson-6a-random-forests-b0a1d1", "kernel_id": "71213662"}, {"ref": "jenn1etang/fastai-lesson-6a-random-forests", "kernel_id": "71211555"}, {"ref": "harry891/titanic-survival-predictor-logisticregression", "kernel_id": "71983379"}, {"ref": "mohabelhussieny/titanic-predictions", "kernel_id": "71093425"}, {"ref": "nursultanomurgaziev/titanic", "kernel_id": "71018769"}, {"ref": "oleksandrliubun/fe-feature-importance", "kernel_id": "71856911"}, {"ref": "oleksandrliubun/titanic-beginner-dt-upgrade", "kernel_id": "71848381"}, {"ref": "hubertroszyk/titanic", "kernel_id": "71762788"}, {"ref": "yassineramdani/titanic-torch", "kernel_id": "71309249"}, {"ref": "amratefk/titanic", "kernel_id": "71555390"}, {"ref": "raduza/titanic", "kernel_id": "71702223"}, {"ref": "felipeortizz22/titanic-ml-prediction", "kernel_id": "71278316"}, {"ref": "jezabelsh/titanic", "kernel_id": "71228884"}, {"ref": "joeyz66/titanic-updating-focus-on-learning-and-finding", "kernel_id": "71506477"}, {"ref": "staticnic717/titanic-competition-by-staticnic717", "kernel_id": "71386919"}, {"ref": "burakeskiba/submission-with-logistic-regression", "kernel_id": "71854440"}, {"ref": "trnlduyn/notebooke047df4ac6", "kernel_id": "71136150"}, {"ref": "cedrusdang/titanic-ml-models-include-simple-nn", "kernel_id": "71267693"}, {"ref": "cedrusdang/titanic-auto-training-nn-model-with-sigmoid", "kernel_id": "71600590"}, {"ref": "sefacakir1907/titanic-data-analyze-by-sefa", "kernel_id": "71483234"}, {"ref": "duytrnhquchkhnh/notebook0dcd92ca4c", "kernel_id": "71293922"}, {"ref": "joetechgeek/titanic", "kernel_id": "71173694"}, {"ref": "mktsuchiya/titanic-ensemble-3", "kernel_id": "71817966"}, {"ref": "mktsuchiya/titanic-ensemble-2", "kernel_id": "71744692"}, {"ref": "sujithkr/survival-prediction-on-the-titanic", "kernel_id": "71930219"}, {"ref": "angelgordillotriano/pe3-titanic-agt", "kernel_id": "71306874"}, {"ref": "trngcnguyn123/bt-ai", "kernel_id": "71177527"}, {"ref": "abhijeetmehla/notebookbb0c1dea40", "kernel_id": "71422936"}, {"ref": "tanish018/getting-started-with-titanic", "kernel_id": "71158796"}, {"ref": "jsrarvind12/t-era", "kernel_id": "71558944"}, {"ref": "isaacopokunkansah/exercise-arithmetic-and-variables", "kernel_id": "71061500"}, {"ref": "navoditsahai/notebook2388aa6a24", "kernel_id": "71155277"}, {"ref": "atulpandey25/notebookfab5d63644", "kernel_id": "71158362"}, {"ref": "ichbinshivam/notebookcf276d6a73", "kernel_id": "71163074"}, {"ref": "ichbinshivam/notebook44f6a976ae", "kernel_id": "71486347"}, {"ref": "tahielszok/tahielszok-titanic", "kernel_id": "71264399"}, {"ref": "gustavom01/ice-ice-baby", "kernel_id": "71273228"}, {"ref": "yvanator/rat-titanic", "kernel_id": "71197805"}, {"ref": "nachocalvoo/notebookc82fe5c3d9", "kernel_id": "71273948"}, {"ref": "ilsenluna/firstml-titanic", "kernel_id": "71273135"}, {"ref": "patriciaduronmuniz/notebookf13c24a937", "kernel_id": "71273057"}, {"ref": "sandratejerizo/notebook575fee3f70", "kernel_id": "71273109"}, {"ref": "devinfallak/devin-s-titanic-submission", "kernel_id": "71255721"}, {"ref": "olehseveryn/notebook5fca1a2616", "kernel_id": "71668373"}, {"ref": "urivinyoles/notebook44c5eb24f5", "kernel_id": "71272932"}, {"ref": "abhishektyagi45/notebookdb4c3984b8", "kernel_id": "71827281"}, {"ref": "chirayu007/notebooke664bf5f22", "kernel_id": "71343903"}, {"ref": "modifiyreactor/ff-binary-classification-attempt", "kernel_id": "71882648"}, {"ref": "shwetankmaurya/titanic-eda", "kernel_id": "71405624"}, {"ref": "ewanlegoffic/exercise-arithmetic-and-variables", "kernel_id": "71408047"}, {"ref": "rudrasahu005/notebooke0ea4a4503", "kernel_id": "71444837"}, {"ref": "bchhetri/wayoftitanic-bishal", "kernel_id": "71548049"}, {"ref": "manueldavidrojas/modelo-para-titanic-mini-tutorial-en-espa-ol", "kernel_id": "71582808"}, {"ref": "matthewlim8/titanic-logistic-regression", "kernel_id": "71849893"}, {"ref": "anamikav12/titanic", "kernel_id": "71966231"}, {"ref": "princeechauhan/notebookcb2d9bd1ca", "kernel_id": "71555005"}, {"ref": "parashar8021/exercise-arithmetic-and-variables", "kernel_id": "71702404"}, {"ref": "souparnobaidya/souparna-titanic", "kernel_id": "71781242"}, {"ref": "amalalshamri/predicting-survival-on-the-titanic", "kernel_id": "71913052"}, {"ref": "owengrant19940123/titanic", "kernel_id": "71959081"}, {"ref": "hanggallkhamsuren/the-titanic", "kernel_id": "71939306"}, {"ref": "mchahhou/digits-conv-mql-m2i", "kernel_id": "72834739"}, {"ref": "krabhijeet/titanic-eda-using-seaborn", "kernel_id": "72496057"}, {"ref": "sneha15/gettingstartedwithtitanic", "kernel_id": "72490355"}, {"ref": "djbaruah/titanic-solution-djb", "kernel_id": "72919412"}, {"ref": "saxenarajat64/ds-session-4", "kernel_id": "72044495"}, {"ref": "pastorsoto/two-way-anova-tutorial", "kernel_id": "72464886"}, {"ref": "stpeteishii/titanic-flaml-w-tpu", "kernel_id": "72425428"}, {"ref": "stpeteishii/titanic-keras-model", "kernel_id": "72494916"}, {"ref": "halilyaman/exercise-arithmetic-and-variables", "kernel_id": "72751097"}, {"ref": "halilyaman/titanic-competition", "kernel_id": "72754159"}, {"ref": "shahidakhtarkhan/getting-started-with-titanic-dataset-ml", "kernel_id": "72740988"}, {"ref": "santhoshkakarla/titanic-dataset", "kernel_id": "72804104"}, {"ref": "petrbaldaev/titanic", "kernel_id": "72909482"}, {"ref": "renjithlal/titanic-competition-data", "kernel_id": "72914814"}, {"ref": "bxnxalex/titanic-sklearn", "kernel_id": "72127738"}, {"ref": "hwikookchoe/pycaret-practice", "kernel_id": "72952300"}, {"ref": "devanshshroff/titanic-ml-from-disaster", "kernel_id": "72379802"}, {"ref": "eyalgoldstein/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "72510746"}, {"ref": "recepalpsaygl/titanic-project", "kernel_id": "72985129"}, {"ref": "jacobrho/241207", "kernel_id": "72425857"}, {"ref": "francescobranca1/titanic-survivors", "kernel_id": "72637182"}, {"ref": "hydarhafiz/handling-outlier-guideline", "kernel_id": "72919268"}, {"ref": "hydarhafiz/handle-missing-data-guidelines", "kernel_id": "72821733"}, {"ref": "koss4ok/iius-template", "kernel_id": "72316606"}, {"ref": "davideandreoli/titanic", "kernel_id": "72868629"}, {"ref": "maythiriphyoe/titanic-disaster-survival-prediction", "kernel_id": "72607617"}, {"ref": "natinderdeep/titanic-practice", "kernel_id": "72936469"}, {"ref": "blackdragonk333/titanic-dataset-competition", "kernel_id": "72006585"}, {"ref": "dirgham/who-survived-on-the-titanic", "kernel_id": "72751432"}, {"ref": "ishhasharmaa/titanic-prediction", "kernel_id": "72114486"}, {"ref": "fatmanur12/titanic", "kernel_id": "72767748"}, {"ref": "kamasanikavya/getting-started-with-titanic-kavya", "kernel_id": "72685435"}, {"ref": "saadraqibaziz/titanic-survival-prediction-with-4-algorithms", "kernel_id": "72571968"}, {"ref": "javithj/die-tanic-prediction", "kernel_id": "72393237"}, {"ref": "salavatfatyhov/titanic", "kernel_id": "72464398"}, {"ref": "yusufsahin1/titanic-dataset-competition", "kernel_id": "72701464"}, {"ref": "liubrainbrbr/notebook83e73485b4", "kernel_id": "72513881"}, {"ref": "akramemad/deep-thinking", "kernel_id": "72656024"}, {"ref": "emdade/test-run", "kernel_id": "72631130"}, {"ref": "koalaroger/7113056119-hw2", "kernel_id": "72979137"}, {"ref": "ahmadalam69/titanic-survival-prediction", "kernel_id": "72140479"}, {"ref": "jamesakemu/titanic-machine-learning-from-disaster", "kernel_id": "72788285"}, {"ref": "mohammadrafee/titanic-dataset", "kernel_id": "72999723"}, {"ref": "arsc4566/notebookb7f110237e", "kernel_id": "72974085"}, {"ref": "youssefmakary27/titanic-comparing-classification-models", "kernel_id": "72496747"}, {"ref": "vinhdc/titanic-random-forest-model", "kernel_id": "72254250"}, {"ref": "felixfebryanwana/ml-logreg", "kernel_id": "72355932"}, {"ref": "davidcarvajalgarrido/getting-started-with-titanic", "kernel_id": "72266877"}, {"ref": "betismeddhia/titanic-ml-workshop-bagging-and-boosting", "kernel_id": "72939724"}, {"ref": "zaraabdulameer/titanic-updated", "kernel_id": "72132083"}, {"ref": "kimtsiang/titanic-submission-test", "kernel_id": "72280339"}, {"ref": "shailybajra/shaily-compss", "kernel_id": "72064087"}, {"ref": "sakshamchhatkuli/titanic-project", "kernel_id": "72662293"}, {"ref": "pranavk333/titanic-survival-prediction", "kernel_id": "72957842"}, {"ref": "alexisgarcia13/titanic", "kernel_id": "72126318"}, {"ref": "abidmuhamm/titanic-first-try", "kernel_id": "72268771"}, {"ref": "farisaboueid/titanic-classification", "kernel_id": "72315785"}, {"ref": "mukeshpatil2003/titanic-dataset-model", "kernel_id": "72374356"}, {"ref": "manasvarmak/titanic-machine-learning-from-disaster", "kernel_id": "72342750"}, {"ref": "sufiyy/titanic-survival-predictor", "kernel_id": "72830450"}, {"ref": "errolcaranza/ttanic", "kernel_id": "72743667"}, {"ref": "priyagurjar198922/titanic-notebook", "kernel_id": "72731053"}, {"ref": "limeonline/an-interactive-data-science-tutorial", "kernel_id": "72835747"}, {"ref": "marcraviz/notebookc180bc29aa", "kernel_id": "72743412"}, {"ref": "diegocarneiro/titanic", "kernel_id": "72762976"}, {"ref": "certxfiedii/kaggle-with-gradio", "kernel_id": "72743608"}, {"ref": "glebuse/titanic-problem", "kernel_id": "72782336"}, {"ref": "remozdemir/titanic-cuckoo-optimization-algorithm", "kernel_id": "72995228"}, {"ref": "vindstod/titanic-d", "kernel_id": "72576003"}, {"ref": "jairophabreu/titanic-2", "kernel_id": "72618586"}, {"ref": "bhavyajethi/titanic-machine-learning", "kernel_id": "72458350"}, {"ref": "kashish2407/who-will-survive-titanic-data-unveiled1", "kernel_id": "72928291"}, {"ref": "kimhosan/241207", "kernel_id": "72425861"}, {"ref": "turulevlek/linear-and-logisticregression", "kernel_id": "72407383"}, {"ref": "yaseredkina/sy-titanik", "kernel_id": "72724378"}, {"ref": "thomasamara/titanic", "kernel_id": "72990529"}, {"ref": "achrafsaighi/titanic", "kernel_id": "72350441"}, {"ref": "kylemryan/titanic-survival-model", "kernel_id": "72789874"}, {"ref": "hazemsayedabdullah/titanic", "kernel_id": "72279521"}, {"ref": "chriscallender/titanic-kaggle", "kernel_id": "72947832"}, {"ref": "pedrohmgatti/my-first-notebook-on-kaggle", "kernel_id": "72800094"}, {"ref": "souri008/titanic-prediction", "kernel_id": "72333219"}, {"ref": "konradykowski/easy-start-with-autogluon-titanic-0-75", "kernel_id": "72051659"}, {"ref": "albaraaj/final-titanic-notebook", "kernel_id": "72453608"}, {"ref": "malikharisahmad/titanic-tutorial", "kernel_id": "72872892"}, {"ref": "malikharisahmad/exercise-arithmetic-and-variables", "kernel_id": "72835552"}, {"ref": "ramiabdullah/08-titanic-survival-prediction-ml", "kernel_id": "72116669"}, {"ref": "mahmoudehab6677/titanic-survival-prediction", "kernel_id": "72659584"}, {"ref": "tusharyadav2599/titanic-disaster-survival-ml-predictor", "kernel_id": "72307415"}, {"ref": "talhaanjum0/exercise-arithmetic-and-variables", "kernel_id": "72235666"}, {"ref": "avyapuli/kaggle-in-gradio", "kernel_id": "72743533"}, {"ref": "rihaanbh/titanic-eda-data-clean", "kernel_id": "72115337"}, {"ref": "iamdivyanshukumar/titanic", "kernel_id": "72822753"}, {"ref": "fatmanour2/exercise-arithmetic-and-variables", "kernel_id": "72472648"}, {"ref": "rbellthy/fastai-lesson-6a-random-forests", "kernel_id": "72015953"}, {"ref": "omarmohamedsayed/titanic-machine-learning", "kernel_id": "72739094"}, {"ref": "cedrusdang/titanic-auto-train-nn-model-sigmoid-2-outcome", "kernel_id": "72201285"}, {"ref": "cedrusdang/titanic-auto-training-xbg-model", "kernel_id": "72173821"}, {"ref": "zachariahcastaneda/getting-started-with-titanic", "kernel_id": "72351275"}, {"ref": "hoangnghiathai/titanic-predict-ml", "kernel_id": "72219341"}, {"ref": "borngreatomomaedosa/second-try-tensorflow-decision-forests", "kernel_id": "72061089"}, {"ref": "borngreatomomaedosa/getting-started-with-titanic", "kernel_id": "72060357"}, {"ref": "ethanmashimo/decision-tree-titanic-submission", "kernel_id": "72283067"}, {"ref": "overstarjalmazmo/titanic", "kernel_id": "72456042"}, {"ref": "richardlevinson3/analysis-task-titanic", "kernel_id": "72285479"}, {"ref": "omaryasseralashker/notebook4a223d26b9", "kernel_id": "72361183"}, {"ref": "bolbotanna/titanic3", "kernel_id": "72508415"}, {"ref": "akffkdh/notebooka3c0a315f9", "kernel_id": "72425855"}, {"ref": "seonyeong1/241207", "kernel_id": "72425865"}, {"ref": "excursion/titanic", "kernel_id": "72788587"}, {"ref": "yoyo60405/titanic-ml", "kernel_id": "72038759"}, {"ref": "aleksandrdocx/titanic", "kernel_id": "72713912"}, {"ref": "hilmanjihadi/awesome-visualization-with-titanic-dataset", "kernel_id": "72537524"}, {"ref": "guillermodm/test-prediction-survivors-20241205", "kernel_id": "72266152"}, {"ref": "leeeyuuu/notebook138f8881e1", "kernel_id": "72366137"}, {"ref": "xaviercliquennois/titanic-tutorial", "kernel_id": "72180689"}, {"ref": "juliasernagiotto/desafio-titanic", "kernel_id": "72185810"}, {"ref": "ydvhrthk/getting-start-with-kaggle", "kernel_id": "72369505"}, {"ref": "aliciapieiro/notebookaliciap", "kernel_id": "72335836"}, {"ref": "katherinerp5/katherine-ramos", "kernel_id": "72335874"}, {"ref": "dvmvjv/notebook9e51f2a048", "kernel_id": "72336308"}, {"ref": "sofianechb/notebook49ec08685e", "kernel_id": "72233464"}, {"ref": "nadiaahesham/titanic-survival-predictions-beginner", "kernel_id": "72523476"}, {"ref": "jorgezugasti/jzi-titanic", "kernel_id": "72266787"}, {"ref": "charliefaure/titanic", "kernel_id": "72249958"}, {"ref": "antonindoat/notebookd78ff394c5", "kernel_id": "72252034"}, {"ref": "fatmahatem14/taitanic-classification", "kernel_id": "72522389"}, {"ref": "guillemcalaf/actividad-1-qui-n-sobrevivir-al-titanic", "kernel_id": "72336227"}, {"ref": "thomastavera/notebook-titanic", "kernel_id": "72308568"}, {"ref": "kevinsmith94624/titanic-tutorial", "kernel_id": "72474165"}, {"ref": "bundheliyasujal/titanic-prediction", "kernel_id": "72433216"}, {"ref": "mimishwartz/bert-on-names-only", "kernel_id": "72572828"}, {"ref": "enemylist/my-first-solution-titanic", "kernel_id": "72880716"}, {"ref": "webamey/titanic-survive-prediction", "kernel_id": "72741486"}, {"ref": "rokib098/notebook19db117a1b", "kernel_id": "72840796"}, {"ref": "ellmore/titanic", "kernel_id": "72771693"}, {"ref": "yutaroshinoimya/titanic-yutaroshinomiya", "kernel_id": "72847948"}, {"ref": "srinivasthatiparthy/notebook5862064929", "kernel_id": "73472981"}, {"ref": "ishibashijun/titanic-machine-learning-from-disaster", "kernel_id": "73237718"}, {"ref": "sapna7/python-for-data-5-lists", "kernel_id": "73987849"}, {"ref": "lorddiablo74/titanic-lazypredict", "kernel_id": "73403046"}, {"ref": "fredpelogia/random-forests-titanic-dec-24-fred-pelogia", "kernel_id": "73627901"}, {"ref": "fredpelogia/linear-svm-titanic-dec-24-fred-pelogia", "kernel_id": "73601643"}, {"ref": "octavianwr/titanic-classification-tutorial", "kernel_id": "73203434"}, {"ref": "kadirem/titanic-data-model", "kernel_id": "73332814"}, {"ref": "kryusufkaya/titanic-eda", "kernel_id": "73250939"}, {"ref": "nivedithan/titanic-survival-prediction", "kernel_id": "73487577"}, {"ref": "muhammedselimaltnta/titanic", "kernel_id": "73821774"}, {"ref": "drmurataltun/titanicnov24", "kernel_id": "73494212"}, {"ref": "ahanayadav/titanic", "kernel_id": "73443295"}, {"ref": "rajaakashyap/titanic-survival-prediction", "kernel_id": "73139114"}, {"ref": "patriciacarrasco/patricia-titanic", "kernel_id": "73144910"}, {"ref": "gramyagupta/titanic", "kernel_id": "73024120"}, {"ref": "nhernandezz/model-exploration", "kernel_id": "73730786"}, {"ref": "davidhjek/spark-titanic-useful-methods", "kernel_id": "73079356"}, {"ref": "luiscrmartins/titanic-case-using-xgbclassifier", "kernel_id": "73687079"}, {"ref": "yuktadandekar/titanicmlprediction", "kernel_id": "73697774"}, {"ref": "andhikakukuh/titanic-passenger-survived", "kernel_id": "73714888"}, {"ref": "alibinmahfodh/titanic-tutorial", "kernel_id": "73536042"}, {"ref": "syedrabeet/rabeet-titanic-notebook", "kernel_id": "73763908"}, {"ref": "ameniayedi/eda-to-prediction-dietanic-with-catboost", "kernel_id": "73028344"}, {"ref": "gladsonk/simple-matplotlib-visualization-tips", "kernel_id": "73929652"}, {"ref": "kassadiallo/amadoutidiallozone-01", "kernel_id": "73078003"}, {"ref": "ahmedayman101/84-test-accuracy-top-5-on-titanic", "kernel_id": "73920923"}, {"ref": "omranshoaeip/titanic", "kernel_id": "73107773"}, {"ref": "ahmedmagdy740/titanic-predict-survived", "kernel_id": "73739247"}, {"ref": "apoorvgiriya/titanic-competition", "kernel_id": "73030791"}, {"ref": "miltonwhite/titanic-competition", "kernel_id": "73832291"}, {"ref": "vijayadithyabk/titanic-machine-learning-from-disaster", "kernel_id": "73044017"}, {"ref": "vermilion000/titanic-survivours-using-randomforest", "kernel_id": "73630036"}, {"ref": "blackdragonk333/titanic-random-forest-submission", "kernel_id": "73873499"}, {"ref": "cankszolu/nn-clean-tensorflow", "kernel_id": "73770021"}, {"ref": "hamdii69/notebook9bf28d1ba1", "kernel_id": "73474156"}, {"ref": "joshuabaliliongcoy/bayesian-modelling-in-r", "kernel_id": "73417554"}, {"ref": "souhillamarzouk/titanic-competition", "kernel_id": "73060462"}, {"ref": "jacksaigh/titanic-survival-prediciton", "kernel_id": "73735626"}, {"ref": "vigneshwaransundar/titanic-machine-learning-from-disaster", "kernel_id": "73687189"}, {"ref": "kushinilowe/titanic-prediction", "kernel_id": "73303913"}, {"ref": "uzairajokhio/titanic-survival-notebook", "kernel_id": "73496672"}, {"ref": "atharvcode/titanic-dataset", "kernel_id": "73066856"}, {"ref": "marwanmohammedsayed/titanic-survival-logistic-regression", "kernel_id": "73206015"}, {"ref": "semrakl/semra-titanic-veri-analizi", "kernel_id": "73283599"}, {"ref": "zackyzac/titanic-eda", "kernel_id": "73272630"}, {"ref": "ansarisaad/titanic-machine-learning-from-disaster", "kernel_id": "73097838"}, {"ref": "hydraharish123/titanic-eda", "kernel_id": "73540295"}, {"ref": "amitpatil008/randomforest-titanic", "kernel_id": "73583815"}, {"ref": "ahmedmedoeng/task-eda", "kernel_id": "73474095"}, {"ref": "anweshaghosh123/titanic-pred", "kernel_id": "73686593"}, {"ref": "burakbuyuk/titanic-survival-prediction-a-comprehensive-data", "kernel_id": "73507372"}, {"ref": "faheem113141/exercise-arithmetic-and-variables", "kernel_id": "73893221"}, {"ref": "alxrios/titanic-notebook", "kernel_id": "73172289"}, {"ref": "ranibaboo/lets-start-with-titanic", "kernel_id": "73303057"}, {"ref": "nermeenmagdyali/titanic-project", "kernel_id": "73469160"}, {"ref": "imaginedtime/titanic-dataset", "kernel_id": "73818639"}, {"ref": "ramisashararnidhi/exercise-arithmetic-and-variables", "kernel_id": "73660627"}, {"ref": "alielkline/titanic-comp", "kernel_id": "73226287"}, {"ref": "ishans24/titanic-2-svm", "kernel_id": "73163964"}, {"ref": "ishans24/titanic-1", "kernel_id": "73106515"}, {"ref": "christinajoslin/titanic-survival-prediction-with-xgboost", "kernel_id": "73500953"}, {"ref": "kavyagoudediga/notebook2c6a528d41", "kernel_id": "73115898"}, {"ref": "ikramsabila/titanic-prediction", "kernel_id": "73844038"}, {"ref": "ikramsabila/titanic-segmentation", "kernel_id": "73851782"}, {"ref": "miraczorlu/titanic-tutorial", "kernel_id": "73333866"}, {"ref": "elppaenipbig/titanic", "kernel_id": "73534492"}, {"ref": "shresthajeevan/feature-selection", "kernel_id": "73235756"}, {"ref": "haleuphrates/titanic-another-run", "kernel_id": "73170427"}, {"ref": "roninvers/using-xgboost-on-titanic-dataset", "kernel_id": "73872993"}, {"ref": "sumaiyatabassumzara/first-practice", "kernel_id": "73604425"}, {"ref": "icofield/titanic-bce-with-pytorch", "kernel_id": "73737403"}, {"ref": "yamasakatakumi/getting-started-with-titanic", "kernel_id": "73008837"}, {"ref": "kareemahmed373/titanic-machine-learning", "kernel_id": "73327726"}, {"ref": "nguyentrongnguyen04/ti-n-x-l-d-li-u-chu-n-h-a-m-h-a-nh-n", "kernel_id": "73320724"}, {"ref": "liekkaszzz/big-data-exp1", "kernel_id": "73524576"}, {"ref": "rishavrajverma/titanic-data", "kernel_id": "73836577"}, {"ref": "hirokinoda/randomforest-titanic-titanic", "kernel_id": "73134582"}, {"ref": "felipeft/titanic-challenge", "kernel_id": "73283727"}, {"ref": "ridiculousmen/exercise-arithmetic-and-variables", "kernel_id": "73200172"}, {"ref": "saezmind/titanic-disaster-competition", "kernel_id": "73215353"}, {"ref": "m65673kc/titanic", "kernel_id": "73016154"}, {"ref": "soumodipchandra/titanic", "kernel_id": "73823235"}, {"ref": "vrishankaryan/titanic", "kernel_id": "73657230"}, {"ref": "salonidesai16/dl-prac-1", "kernel_id": "73771843"}, {"ref": "hassanmehmood413/titanic-all-ml-models", "kernel_id": "73605419"}, {"ref": "elasgustavoknaus/binary-class-starter-framework-hardvotting-class", "kernel_id": "73408790"}, {"ref": "shahfahadkhalil/notebook6fcff17aae", "kernel_id": "73778884"}, {"ref": "shubhamzz/notebook907d2fbf07", "kernel_id": "73562989"}, {"ref": "muhammadsaadchohan/titanic-competition", "kernel_id": "73903350"}, {"ref": "raj110/titanic-project", "kernel_id": "73154968"}, {"ref": "maximravichev/titanic-notebook", "kernel_id": "73363303"}, {"ref": "sanjaybiju/titanic-death-prediction", "kernel_id": "73225924"}, {"ref": "mohammadarjomand/titanic-3-ml-models", "kernel_id": "73321913"}, {"ref": "ulkayadav/notebook53839e7cce", "kernel_id": "73424720"}, {"ref": "berfinmete/bm-titanic-eda", "kernel_id": "73835481"}, {"ref": "bunyaminyavuz/gettingstartedwithtitanic", "kernel_id": "73697894"}, {"ref": "adrianahmetspahic/titanic-survivor-prediction-model", "kernel_id": "73221692"}, {"ref": "hassanelfattmi/who-survives-titanic-shipwreck-is-it-too-late", "kernel_id": "73572388"}, {"ref": "jyotiradityaray/titianicsurvival", "kernel_id": "73274623"}, {"ref": "hiroifukazawa/test-notebook", "kernel_id": "73621190"}, {"ref": "sushanthpentakota/submission", "kernel_id": "73402559"}, {"ref": "ferasalshash/titanic-data-analysis-and-predictive-modeling", "kernel_id": "73389496"}, {"ref": "pornsakkamchan/titanic-survival-predictions-using-random-forest", "kernel_id": "73354875"}, {"ref": "mahmoudalrefaey/titanic-competition", "kernel_id": "73158019"}, {"ref": "bilalabdulmalik/titanic-survival-prediction", "kernel_id": "73148450"}, {"ref": "yassineramdani/digit-transfer-learning", "kernel_id": "73480055"}, {"ref": "yassineramdani/titanic-pytorch", "kernel_id": "73444672"}, {"ref": "yassineramdani/digits-conv-test", "kernel_id": "73443830"}, {"ref": "yassineramdani/titanic-pytorch-2", "kernel_id": "73444612"}, {"ref": "yassineramdani/digit-rec-conv", "kernel_id": "73443364"}, {"ref": "kushubhai/titanictrials", "kernel_id": "73581463"}, {"ref": "hashsoft/pyspark-for-data-science", "kernel_id": "73573306"}, {"ref": "aashuraj001/titanic", "kernel_id": "73649329"}, {"ref": "hassanmuhammed1/titanic", "kernel_id": "73387082"}, {"ref": "hasanefehayri/titanic-notebook", "kernel_id": "73814290"}, {"ref": "prognam0r/digits-conv-mql-m2i-c0291f", "kernel_id": "73235517"}, {"ref": "viniciuscta/data-cleaning-for-prediction-model", "kernel_id": "73349253"}, {"ref": "pavelgladkov/gpd-titanic-version-1", "kernel_id": "73957782"}, {"ref": "devilschord/titanic", "kernel_id": "73730618"}, {"ref": "chiragshirsath7/titanic", "kernel_id": "73867523"}, {"ref": "nadejong/titanic-survival-using-feature-engineering", "kernel_id": "73912652"}, {"ref": "alimovaa/titanic", "kernel_id": "73568112"}, {"ref": "sowred/titanic-80-accuracy-eda", "kernel_id": "73573080"}, {"ref": "nextgensoumen/titanic-tutorial", "kernel_id": "73929332"}, {"ref": "eriklundqvist1/titanic-competition-trying-r-0-7799", "kernel_id": "73874277"}, {"ref": "camilochart/titanic-survival-eda-xgb-2-new-custom-columns", "kernel_id": "73224998"}, {"ref": "shroukadel29/titanic-ml", "kernel_id": "73828075"}, {"ref": "thevishesh16/saving-titanic-by-decision-tree-made-from-scratch", "kernel_id": "73405223"}, {"ref": "yarenzoul/beginning-for-the-titanic", "kernel_id": "73161943"}, {"ref": "lorenzomaiuri/titanic-ensemble", "kernel_id": "73537519"}, {"ref": "lorenzomaiuri/titanic-neural-ensemble", "kernel_id": "73532071"}, {"ref": "raymarnold/titanic-survival-prediction", "kernel_id": "73504850"}, {"ref": "hggggv/titanic-competition", "kernel_id": "73027110"}, {"ref": "tomernatan/new-try-tomer-and-hila", "kernel_id": "73480549"}, {"ref": "burakertann/titanic", "kernel_id": "73745264"}, {"ref": "adivered/titanic", "kernel_id": "73722186"}, {"ref": "tomerharel/ex2-titanic", "kernel_id": "73631664"}, {"ref": "yunjun0914/titanic-with-decision-tree-visualization", "kernel_id": "73844096"}, {"ref": "yunjun0914/decision-tree-visualization", "kernel_id": "73929004"}, {"ref": "sylvialeeee/titanic-prediction", "kernel_id": "73805981"}, {"ref": "idoeng/ex2-titanic", "kernel_id": "73681818"}, {"ref": "amitbarkama/logistic-regression", "kernel_id": "73088047"}, {"ref": "hamnakaleemds/exercise-arithmetic-and-variables", "kernel_id": "73616208"}, {"ref": "idoshimelmitz/ran-and-ido-1", "kernel_id": "73678577"}, {"ref": "faxiangyan/getting-started-with-titanic", "kernel_id": "73721901"}, {"ref": "yuvaldavidovits/ml2yuvals", "kernel_id": "73820548"}, {"ref": "mralikhansary/titanic-notebook", "kernel_id": "73868846"}, {"ref": "yahavbbbb/titanic-model", "kernel_id": "73867935"}, {"ref": "shuheif7777japan/r-titanic-logistic-regression-japanese", "kernel_id": "73564159"}, {"ref": "abdulkadirzdemir/titanicbyatom", "kernel_id": "73466672"}, {"ref": "gamzegrsu/gamze-titanik-eda", "kernel_id": "73835630"}, {"ref": "juliendujardin/titanic-stats-and-prediction-first-try", "kernel_id": "73039780"}, {"ref": "drkandarpvidyarthi/titanic-prediction-model", "kernel_id": "73008758"}, {"ref": "adarshvij/getting-started-with-titanic", "kernel_id": "73081595"}, {"ref": "marinacastro98/notebook745be3fdf7", "kernel_id": "73152084"}, {"ref": "itsabhinavm/titanic-solution", "kernel_id": "73486144"}, {"ref": "t0kyolover/t0kylover-with-tensor", "kernel_id": "73148893"}, {"ref": "feliperoddasilva/notebook2e64c672bc", "kernel_id": "73144420"}, {"ref": "mmartinezjim/reto-titanic", "kernel_id": "73144346"}, {"ref": "fatimafg/titanic", "kernel_id": "73099003"}, {"ref": "paumeiker/titanic-ironhack-paumeiker", "kernel_id": "73099792"}, {"ref": "oscgcs/notebookb86502dab3", "kernel_id": "73145466"}, {"ref": "yuliantow/titanic-randomforestclassifier-and-xgbc", "kernel_id": "73237524"}, {"ref": "aryanrastogi17/titanic-ml", "kernel_id": "73889382"}, {"ref": "vishalpatil234/notebook68f205a032", "kernel_id": "73220712"}, {"ref": "jlc180/jc180-titanic-dataset", "kernel_id": "73232895"}, {"ref": "rithvikpatibandla/notebook378be844d0", "kernel_id": "73812977"}, {"ref": "chijiokeugwuanyi/titanic-ml-prediction", "kernel_id": "73518407"}, {"ref": "deepmenpara4/exercise-arithmetic-and-variables", "kernel_id": "73384788"}, {"ref": "jaysurender/ml-predict-survival", "kernel_id": "73451484"}, {"ref": "ahmedadelapas/titanic", "kernel_id": "73474197"}, {"ref": "bobbydata123/titanic-machine-learning", "kernel_id": "73499258"}, {"ref": "aliphio3vip/notebook1613e2e672", "kernel_id": "73613904"}, {"ref": "arpitsingh018/test-run", "kernel_id": "73514878"}, {"ref": "jjm316/titanic-randomforestclassifier", "kernel_id": "73660089"}, {"ref": "nancyjh/exercise-arithmetic-and-variables", "kernel_id": "73535553"}, {"ref": "fatimaaslam8/titanic-prediction", "kernel_id": "73643706"}, {"ref": "shanushah14/eda-on-titanic-dataset", "kernel_id": "73628011"}, {"ref": "anastaskuzn/titanic-notebook", "kernel_id": "73659240"}, {"ref": "zenithish/soltitanic-py", "kernel_id": "73736904"}, {"ref": "behlultunc/random-forest-on-titanic", "kernel_id": "73742518"}, {"ref": "dejman2003/titanic-disaster-model", "kernel_id": "73746809"}, {"ref": "sindhujapagadala07/lci2024013sindhuja", "kernel_id": "73909893"}, {"ref": "slimshadydata/model-exploration", "kernel_id": "73849355"}, {"ref": "shuqipro/survival-prediction-for-titanic-disaster", "kernel_id": "73864637"}, {"ref": "jonathanprentice/first-comp-titanic", "kernel_id": "73970986"}, {"ref": "aritronath/titanic-ml", "kernel_id": "73929510"}, {"ref": "itasvs/getting-started-with-titanic", "kernel_id": "73974010"}, {"ref": "ahmadhassan061/lec5-fastai-main", "kernel_id": "74387368"}, {"ref": "outsou/titanic", "kernel_id": "74792642"}, {"ref": "otrebor2solrac/eda-and-model-rf", "kernel_id": "74713406"}, {"ref": "muhammedselimaltnta/ann-titanic", "kernel_id": "74118148"}, {"ref": "itskumar/titanic-survival-ml-gridsearch", "kernel_id": "74207078"}, {"ref": "itskumar/titanic-survival-eda", "kernel_id": "74148372"}, {"ref": "xaviercarrera/back-to-basics-titanicsurvival", "kernel_id": "74981350"}, {"ref": "josephnehrenz/classification-titanic-random-forest-model-in-r", "kernel_id": "74938392"}, {"ref": "pranjal7779/pranjals-firstmlcompii-notebook", "kernel_id": "74474018"}, {"ref": "chromaticrain/titanicpractice", "kernel_id": "74065992"}, {"ref": "samithsachidanandan/titanic-survival-prediction", "kernel_id": "74147726"}, {"ref": "abdullahbakr/titanic-01", "kernel_id": "74097686"}, {"ref": "lukautjesinovic/titanic-xgboost-with-bayesian-hpo", "kernel_id": "74395612"}, {"ref": "ruchikakumbhar/titanic-machinelearning", "kernel_id": "74934891"}, {"ref": "jishnuar/titanic-the-begenning", "kernel_id": "74837939"}, {"ref": "iamkkd/titanic-comp", "kernel_id": "74007782"}, {"ref": "nihshabdah/titanic-eda", "kernel_id": "74160224"}, {"ref": "nihshabdah/visual-analysis", "kernel_id": "74863420"}, {"ref": "mustafadoruer/titanic-mudo", "kernel_id": "74011245"}, {"ref": "mauryashikhar87/eda-using-univariate-analysis", "kernel_id": "74893615"}, {"ref": "mauryashikhar87/understanding-your-data", "kernel_id": "74840683"}, {"ref": "mauryashikhar87/pandas-profiling", "kernel_id": "74996369"}, {"ref": "mauryashikhar87/eda-using-bivariate-and-multivariate-analysis", "kernel_id": "74939431"}, {"ref": "sakhawat335/titanic-notebook", "kernel_id": "74702788"}, {"ref": "debojotiapurba/exercise-arithmetic-and-variables", "kernel_id": "74968548"}, {"ref": "areejrohyiem/titanic-tutorial", "kernel_id": "74638637"}, {"ref": "mahmoudabdshafy/titanic-tutorial", "kernel_id": "74976324"}, {"ref": "noorsfar/titanic-tutorial", "kernel_id": "74953854"}, {"ref": "tabassumoyshee/notebook7b12f57c37", "kernel_id": "74410872"}, {"ref": "shivcoderss/shiv-1st", "kernel_id": "74312512"}, {"ref": "karkin/titanic-survivors-prediction-kaggle-competition", "kernel_id": "74032148"}, {"ref": "sofacalderon/notebook41957a7601", "kernel_id": "74351145"}, {"ref": "mattbain/titanic-survival-prediction", "kernel_id": "74173525"}, {"ref": "arnavagar/titanic-note", "kernel_id": "74455785"}, {"ref": "sonualexantony/titanic-machine-learning-from-disaster", "kernel_id": "74948438"}, {"ref": "mguraria/titanic-prediction", "kernel_id": "74207339"}, {"ref": "joshuanguyenolson/titanic-random-forest-classification", "kernel_id": "74654767"}, {"ref": "ganeshreddy0616/titanic-survival-using-decisiontree-2600-rank", "kernel_id": "74187248"}, {"ref": "vietth/survived-prediction", "kernel_id": "74886649"}, {"ref": "taruna03/notebook2a941ccbe5", "kernel_id": "74655385"}, {"ref": "fadzwanashriq/titanic-data-science-solutions", "kernel_id": "74930135"}, {"ref": "jennisjane/titanic-survival-prediction-gbt", "kernel_id": "74904237"}, {"ref": "vladtkachenko/first-try-titanic", "kernel_id": "74959663"}, {"ref": "kaank0/titantic-eda", "kernel_id": "74089671"}, {"ref": "matthewwwwww0416/simple-titanic-ml", "kernel_id": "74085015"}, {"ref": "mariyamalshatta/masterclass-1-a-comprehensive-guide-for-eda", "kernel_id": "74426864"}, {"ref": "mariyamalshatta/titanic-competition-eda-fe-model", "kernel_id": "74920206"}, {"ref": "mariyamalshatta/masterclass-2-handling-missing-data", "kernel_id": "74781632"}, {"ref": "noranali88/titanic-eda", "kernel_id": "74000124"}, {"ref": "eminustun/titanicmlfromdisaster", "kernel_id": "74814978"}, {"ref": "lawrencecode/sklearn-ensemble-pipeline", "kernel_id": "74177361"}, {"ref": "phyomyatoo/titanic-with-log-reg-with-for-and-numpy", "kernel_id": "74935254"}, {"ref": "zohair47/first-submission-mz-titanic", "kernel_id": "74151258"}, {"ref": "abdallah11/randomforestclassifier", "kernel_id": "74047442"}, {"ref": "syhrull/titanic-improved", "kernel_id": "74582360"}, {"ref": "kerem0zcan/titanic-deneme", "kernel_id": "74163001"}, {"ref": "afifjamirjaffer/titanic-disaster-ml-by-afif", "kernel_id": "74135785"}, {"ref": "anshulprasad5440/titanic-ipynb", "kernel_id": "74345189"}, {"ref": "farhodjaborov/titanic-randomforest", "kernel_id": "74258905"}, {"ref": "yiclgg/random-forest-ensemble-model", "kernel_id": "74387844"}, {"ref": "nabilkmdln/titanicclass", "kernel_id": "74469371"}, {"ref": "arunsuresh123/titanic-ml-from-disaster-81339", "kernel_id": "74060499"}, {"ref": "abusayeidsawon/titanic-practice", "kernel_id": "74946827"}, {"ref": "polarsnow09/titanic", "kernel_id": "74142590"}, {"ref": "ammarashraf1/titanic-tutorial", "kernel_id": "74022717"}, {"ref": "alexandroskanakis/titanic-survived-classifier", "kernel_id": "74554237"}, {"ref": "devaanshpuri/titanic-my-take", "kernel_id": "74913445"}, {"ref": "ouztra/titanic-prediction", "kernel_id": "74811284"}, {"ref": "harikrushnagoti/titanic-eda", "kernel_id": "74107577"}, {"ref": "yatharthkohli2810/notebook19ceff9c4d", "kernel_id": "74542012"}, {"ref": "ashwinichhaya/eda-assigment", "kernel_id": "74056771"}, {"ref": "thekushak/thekushak-1st-submission", "kernel_id": "74468521"}, {"ref": "drafsoon/titanic-challenge", "kernel_id": "74337034"}, {"ref": "suyogghimire/titanic-dataset-0-7864", "kernel_id": "74051259"}, {"ref": "yjkimliz03/getting-started-with-titanic", "kernel_id": "74506435"}, {"ref": "anacpricciardi/titanic-eda", "kernel_id": "74348868"}, {"ref": "anacpricciardi/getting-started-with-titanic", "kernel_id": "74352593"}, {"ref": "samarthpujari/titanic-model", "kernel_id": "74266631"}, {"ref": "samarthpujari/titanic-competition-1", "kernel_id": "74271625"}, {"ref": "samarthpujari/titanic-competition-vanisher", "kernel_id": "74209123"}, {"ref": "simratk/simrat-titatnic-ml-model", "kernel_id": "74506944"}, {"ref": "rajdeepnahaofficial/titanic-raj", "kernel_id": "74329704"}, {"ref": "viathorr/titanic-data-eda-survival-prediction", "kernel_id": "74823265"}, {"ref": "okvibha/ensemble", "kernel_id": "74051901"}, {"ref": "sahantimilsina/titanic-ipynb", "kernel_id": "74045599"}, {"ref": "yulongwu000907/using-rf-to-predict-survival-rate-of-titnic", "kernel_id": "74456865"}, {"ref": "krupanshi/understanding-hyperparameter-tuning", "kernel_id": "74443177"}, {"ref": "aeternnar/titanic-competition", "kernel_id": "74013314"}, {"ref": "honeywk/titanic-tutorial-for-beginners-2020", "kernel_id": "74661974"}, {"ref": "garrettcannonweeks/exploration-of-titanic-in-r-with-random-forest", "kernel_id": "74241049"}, {"ref": "nadayousef8/eda-with-titanic-dataset", "kernel_id": "74811704"}, {"ref": "refiaozturk/boosting-models-for-titanic-predictions", "kernel_id": "74683390"}, {"ref": "fatihyavuzz/titanic-survival-prediction-boosting-models", "kernel_id": "74747679"}, {"ref": "vivekattri/titanic-data-science-eda-using-all-ml-models", "kernel_id": "74532949"}, {"ref": "nataliaachagodoy/getting-started-with-titanic", "kernel_id": "74351925"}, {"ref": "ttanya/titanic-code", "kernel_id": "74514844"}, {"ref": "piyushgarg878/titanic-disaster-prediction", "kernel_id": "74541558"}, {"ref": "obosrish/titaniceda", "kernel_id": "74040110"}, {"ref": "imnb57/titanic-competition", "kernel_id": "74587969"}, {"ref": "rsbit30/titanic-prediction", "kernel_id": "74255022"}, {"ref": "tushar9999/titanic-disaster-prediction", "kernel_id": "74452383"}, {"ref": "akshatsharmawork/titanic-survival-via-every-model", "kernel_id": "74043590"}, {"ref": "chegegathuru/titanic-first", "kernel_id": "74238810"}, {"ref": "trashhasan/scikit-learn-ml-from-start-to-finish", "kernel_id": "74856599"}, {"ref": "giulergashimova/titanic", "kernel_id": "74774583"}, {"ref": "thomaspierantozzi/around-0-87-accuracy-w-stacking-classifier", "kernel_id": "74761103"}, {"ref": "thekapiswild/karan-patel-titanic-formal-submission", "kernel_id": "74776219"}, {"ref": "xiaomuvip/titanic-ml", "kernel_id": "74255290"}, {"ref": "chandikasarkar/titanicchandika1", "kernel_id": "74773264"}, {"ref": "donuopldr/titanic", "kernel_id": "74615738"}, {"ref": "riceshower001/titanic-starter-notebook", "kernel_id": "74786364"}, {"ref": "enginetinta/titanic-prediction", "kernel_id": "74380668"}, {"ref": "iamadib/titanic-survival-prediction-software", "kernel_id": "74339219"}, {"ref": "uditkatiyar01/titanic-tutorial", "kernel_id": "74953815"}, {"ref": "navkaransing/notebook5819ce55c9", "kernel_id": "74961298"}, {"ref": "tyuanrank1/titan-1", "kernel_id": "74898299"}, {"ref": "sidaknoorsingh/titanic-disaster-prediction", "kernel_id": "74475754"}, {"ref": "saraghbaboli/notebookf9facebdd5", "kernel_id": "74624215"}, {"ref": "armaanpreet123/titanic-naive-bayes", "kernel_id": "74460774"}, {"ref": "taljorno/notebook24523f2cec", "kernel_id": "74800314"}, {"ref": "rgontijof/titanic-surviving-predictions", "kernel_id": "74005338"}, {"ref": "tomerharel/notebook18bbf86df7", "kernel_id": "74462306"}, {"ref": "idoeng/ex3titanic", "kernel_id": "74780217"}, {"ref": "amitbarkama/knn-gnb-lda-pca", "kernel_id": "74524826"}, {"ref": "shaygelbart/titanic-prediction", "kernel_id": "74687401"}, {"ref": "sanaullah03041417973/my-startup", "kernel_id": "74960215"}, {"ref": "harelnagar/coolest-notebook-ilevernever", "kernel_id": "74610894"}, {"ref": "yahavbbbb/titanic-models", "kernel_id": "74711570"}, {"ref": "manishkumarsuman9/titanic-survived-prediction", "kernel_id": "74058577"}, {"ref": "nilimasharma/titanicml", "kernel_id": "74635858"}, {"ref": "simrandalv30/titanic-dataset", "kernel_id": "74110727"}, {"ref": "bmhall79/titanic-v2", "kernel_id": "74255739"}, {"ref": "vedikasd/first-submission-on-kaggle-titanic", "kernel_id": "74414495"}, {"ref": "rodrigomcd2/gr-ficos-do-titanic", "kernel_id": "74493283"}, {"ref": "kamilagrniak/titanic", "kernel_id": "74107711"}, {"ref": "aritronath/titanic-k-nearest-neighbor-knn-frmscratch-0-813", "kernel_id": "74075442"}, {"ref": "aumiidutta/getting-started-with-titanic", "kernel_id": "74615524"}, {"ref": "aneevinay/titanic-prediction-using-randomforest", "kernel_id": "74685852"}, {"ref": "zaynarisganz/exercise-arithmetic-and-variables", "kernel_id": "74128499"}, {"ref": "gokremtekir/gokrem-titanik-dataframe", "kernel_id": "74811422"}, {"ref": "ogtkogdenki/titanic-decisiontreeclassifier-1", "kernel_id": "74079774"}, {"ref": "cristinatomspeaa/cristinareto2025", "kernel_id": "74298578"}, {"ref": "jordinacorrons/notebook-jordina-corrons", "kernel_id": "74393148"}, {"ref": "homa1349/getting-started-with-titanict", "kernel_id": "74348709"}, {"ref": "vidyanshukushawaha/titanic-tutorial", "kernel_id": "74899830"}, {"ref": "medha2901/gettingstartedwithtitanic", "kernel_id": "74530865"}, {"ref": "medha2901/titanic-version2", "kernel_id": "74539412"}, {"ref": "medha2901/new-version", "kernel_id": "74702640"}, {"ref": "abhinavraj091/tittanic-csv", "kernel_id": "74497010"}, {"ref": "ahmedosamamath/titanic-survival-prediction", "kernel_id": "74747464"}, {"ref": "intanseptia/projek4-dataset", "kernel_id": "74524964"}, {"ref": "manikjain105/notebook4", "kernel_id": "74901934"}, {"ref": "manarbehloul/getting-started-with-titanic", "kernel_id": "74586960"}, {"ref": "njannahh/ma-first-competition-at-kaggle", "kernel_id": "74676486"}, {"ref": "ripurnama/uas-algoritma", "kernel_id": "74616417"}, {"ref": "komesan0171/titanic-data-science-solutions-japanese-translated", "kernel_id": "74667735"}, {"ref": "hasanabedin/notebook0eb8ca75b4", "kernel_id": "74755860"}, {"ref": "ezgicode/exercise-arithmetic-and-variables", "kernel_id": "74828649"}, {"ref": "kustyk97/titanic-notebook", "kernel_id": "74966000"}, {"ref": "khushikyad001/titanic-tutorial", "kernel_id": "74897414"}, {"ref": "ujjwal5105/titanic-tutorial", "kernel_id": "74898844"}, {"ref": "hngminhphm/titanic-hong-minh", "kernel_id": "74945493"}, {"ref": "nikhil18sagar/titanic-basic-solution-using-adaboost", "kernel_id": "74917032"}, {"ref": "zakiyff/titanic-data-science", "kernel_id": "75353487"}, {"ref": "yl148yl148/template-classification", "kernel_id": "75955390"}, {"ref": "shivibaijal/titanic-dataset-basic-logistic-regression", "kernel_id": "75405720"}, {"ref": "d1n3sh/dcod3-titanic", "kernel_id": "75382081"}, {"ref": "namratasv/titanic-survival-prediction-lr-f1-score-0-8", "kernel_id": "75994505"}, {"ref": "chumajin/kaggle-titanic", "kernel_id": "75189588"}, {"ref": "mansipat/acc-78-hypertuning", "kernel_id": "75876566"}, {"ref": "shanmukasrinivas/shanmuka-srinivas-titanic-v01", "kernel_id": "75975837"}, {"ref": "andreysarmento/titanic-neural-networks-using-torch-78-95", "kernel_id": "75827651"}, {"ref": "davidgraucamps/titanic-descisiontreeclassifier-svm", "kernel_id": "75506602"}, {"ref": "mattkarenbauer/kaggle-titanic-competition-v2", "kernel_id": "75428655"}, {"ref": "ricardocaravana/classifier-models-for-titanic-survival-predict", "kernel_id": "75091812"}, {"ref": "joaopedromedeiros/titanic-radom-forest-pyhton-traning", "kernel_id": "75880596"}, {"ref": "a7madmostafa/titanic-eda-tutorial", "kernel_id": "75291305"}, {"ref": "adityam5153/titanic-improved-accuracy", "kernel_id": "75822172"}, {"ref": "adityam5153/titanic-data-science-reproduce", "kernel_id": "75970164"}, {"ref": "devbhuyan/superfast-lightweight-xgb-on-the-titanic-dataset", "kernel_id": "75319323"}, {"ref": "sammarizaineb/zaineb-code", "kernel_id": "75864727"}, {"ref": "rifatmuhtasim/logistic-regression-demystified-theory-and-code", "kernel_id": "75278787"}, {"ref": "chuklook/titanic-machine-learning-from-disaster-code", "kernel_id": "75610697"}, {"ref": "aroraaakansha/titanic-insight", "kernel_id": "75636871"}, {"ref": "saikatbd/exercise-arithmetic-and-variables", "kernel_id": "75119123"}, {"ref": "roaaalzanbaqi/titanic-ml", "kernel_id": "75478772"}, {"ref": "afshankhan69/makr-titanic-submission", "kernel_id": "75972335"}, {"ref": "afshankhan69/makr-titanic-v01", "kernel_id": "75947548"}, {"ref": "zihengyan/basic-decision-tree-methods-with-tuning", "kernel_id": "75798583"}, {"ref": "cabbar14ylnce/xgb-catboost-lgbm-basic-ml-project-79", "kernel_id": "75709153"}, {"ref": "shilpakarra/the-titanic-competition-my-version", "kernel_id": "75996060"}, {"ref": "swatipandey503/getting-started-titanic", "kernel_id": "75883108"}, {"ref": "victorianomh/titanic-exploratory-data-analysis-and-prediction", "kernel_id": "75420881"}, {"ref": "asifsaad/ail-part-1", "kernel_id": "75781243"}, {"ref": "asifsaad/ail-part-2", "kernel_id": "75782018"}, {"ref": "ranyaz/notebookf24ff3d2a1", "kernel_id": "75042061"}, {"ref": "cancanyin/titanic-model-cy", "kernel_id": "75831845"}, {"ref": "vinodkumariya/titanic-randomforest", "kernel_id": "75708830"}, {"ref": "funkeymonkey/exercise-arithmetic-and-variables", "kernel_id": "75743331"}, {"ref": "bismarjoyosumarto/titanic-survival-classic-ds-ml", "kernel_id": "75442325"}, {"ref": "entelpi/optuna-hyperparameter-tuning-titanic-competition", "kernel_id": "75471707"}, {"ref": "entelpi/gridsearchcv-hyperparameter-tuning-titanic-compe", "kernel_id": "75493404"}, {"ref": "entelpi/stackingclassifier-titanic-competition", "kernel_id": "75601380"}, {"ref": "ryanburnsworth/titanic-competition-77-acc", "kernel_id": "75698464"}, {"ref": "cannaml/titanic-survive-prediction", "kernel_id": "75177639"}, {"ref": "akhilmaddikonda/titanic-data-science-solutions", "kernel_id": "75972324"}, {"ref": "hazemhammami/titanic-tutorial", "kernel_id": "75761175"}, {"ref": "mdnadeemakhtar/titanic-ml-from-disaster", "kernel_id": "75082498"}, {"ref": "jsthesha/titanic-data-science-solutions", "kernel_id": "75176214"}, {"ref": "aakarshreddy3110/notebook371e5e6ee4", "kernel_id": "75521946"}, {"ref": "mauryashikhar87/machine-learning-sklearn-pipeline", "kernel_id": "75498116"}, {"ref": "mauryashikhar87/function-transformer-log-reciprocal-square-root", "kernel_id": "75529357"}, {"ref": "mauryashikhar87/binning-and-binarization", "kernel_id": "75783168"}, {"ref": "mauryashikhar87/exponentially-weighted-moving-average", "kernel_id": "75789832"}, {"ref": "mauryashikhar87/handling-mixed-variables-feature-engineering", "kernel_id": "75784580"}, {"ref": "mauryashikhar87/handling-missing-data-random-sample-imputation", "kernel_id": "75997662"}, {"ref": "mauryashikhar87/handling-missing-data-missing-indicator", "kernel_id": "75998228"}, {"ref": "jonathonbriggs/titanic-survival-prediction-model-competition", "kernel_id": "75479613"}, {"ref": "pranjali1121/titanic-eda", "kernel_id": "75745662"}, {"ref": "walliullahjoy/1st-code", "kernel_id": "75880579"}, {"ref": "belalomran/titanic-pred-using-xgboost", "kernel_id": "75613577"}, {"ref": "albaclosatarres/titanic-tutorial", "kernel_id": "75946489"}, {"ref": "oliverchamberlain/titanic-survivor-model", "kernel_id": "75412730"}, {"ref": "rjohnson27/titanic-machine-learning-from-disaster-project-25", "kernel_id": "75891431"}, {"ref": "rjohnson27/rjohnson27-titanic-submission", "kernel_id": "75971141"}, {"ref": "aiswariya003a/titanic-ml", "kernel_id": "75838086"}, {"ref": "codekalimi/titanic-survival", "kernel_id": "75231844"}, {"ref": "rutvijpanot/notebook71b7d14fe9", "kernel_id": "75175014"}, {"ref": "ahmadscientist/central-limit-theorem-on-titanic-fare", "kernel_id": "75891664"}, {"ref": "ehsanamiri6747/titanic-by-ehsan-amiri", "kernel_id": "75085473"}, {"ref": "penidorafael/dswa-titanic-base", "kernel_id": "75622461"}, {"ref": "arpan456/fill-null-value", "kernel_id": "75489375"}, {"ref": "kyosukehara/titanic-problem", "kernel_id": "75952661"}, {"ref": "mohmednezarabourraja/titanic-data-comprehensive-eda-for-ml-beyond", "kernel_id": "75273443"}, {"ref": "paramanandagaigaria/titanic-survival-prediction-pg", "kernel_id": "75692007"}, {"ref": "estopadilla/titanic-survival-prediction-eda-rf", "kernel_id": "75138267"}, {"ref": "faoziafariha/logistic-regression", "kernel_id": "75760527"}, {"ref": "alistergan/titanic-alister", "kernel_id": "75905345"}, {"ref": "sivamani2269087/titanic-disaster", "kernel_id": "75808936"}, {"ref": "akhil838/how-to-cheat-100-accuracy-no-model", "kernel_id": "75815586"}, {"ref": "mustafa20635/titanic", "kernel_id": "75631615"}, {"ref": "motaweamohammed/titanic-eda", "kernel_id": "75270764"}, {"ref": "merfarukyce/titanic-basic-machine-learning-from-disaster", "kernel_id": "75061081"}, {"ref": "eslamsharoud/titanic", "kernel_id": "75319239"}, {"ref": "praveenrajm007/praveen-raj", "kernel_id": "75833506"}, {"ref": "datamine111/k-a-s-1", "kernel_id": "75877031"}, {"ref": "mohamedhazem346/titanic-machine-learning-project", "kernel_id": "75570552"}, {"ref": "vbhalodi/titanic-data-science-solutions", "kernel_id": "75911699"}, {"ref": "profodonnell/titanic-classier-starter", "kernel_id": "75871640"}, {"ref": "vinakhandare/submission-csv", "kernel_id": "75132552"}, {"ref": "armandjunior/titanic-machine-learning-from-disaster", "kernel_id": "75426506"}, {"ref": "nilashissaha/lab-29-01", "kernel_id": "75501139"}, {"ref": "karanparmar03/titanic-predictions", "kernel_id": "75055759"}, {"ref": "sonalanand/exercise-arithmetic-and-variables", "kernel_id": "75005674"}, {"ref": "samikshadalvi/titanic-survival-prediction", "kernel_id": "75950987"}, {"ref": "khngqungb22dccn654/titanic", "kernel_id": "75103750"}, {"ref": "ssing12345/titanic-data-science-solutions", "kernel_id": "75967879"}, {"ref": "nyoth1997/prediccion-titanic", "kernel_id": "75573350"}, {"ref": "nihacheepirishetty/titanic-ml", "kernel_id": "75169115"}, {"ref": "adrianabaigarssu/classification-in-machine-learning", "kernel_id": "75819764"}, {"ref": "andremoreira00/titanic", "kernel_id": "75413904"}, {"ref": "ayfait/titanic-mlfd-xgboost-classifier", "kernel_id": "75828155"}, {"ref": "riisaw/221071058-titanic", "kernel_id": "75488727"}, {"ref": "mahmoudnasser001/titanic-eda-feature-engineering-models-ensemble", "kernel_id": "75734907"}, {"ref": "yjkimliz03/mlp-testing2-0-782", "kernel_id": "75834550"}, {"ref": "chandunarisetti/titanic-dataset-prediction", "kernel_id": "75792435"}, {"ref": "kushagr17/comp-test-submission", "kernel_id": "75938059"}, {"ref": "dariomoreddu/titanic-ml-competition", "kernel_id": "75801457"}, {"ref": "khinthant/prediction-titanic-survivor", "kernel_id": "75106849"}, {"ref": "parishamahajan/titanic-problem", "kernel_id": "75989623"}, {"ref": "polashhemrom/exercise-arithmetic-and-variables", "kernel_id": "75327441"}, {"ref": "zeeshanahmad124586/feature-selection-filter-wrapper-and-embedded", "kernel_id": "75290636"}, {"ref": "lizagarg/notebook1fbee794f7", "kernel_id": "75943467"}, {"ref": "pedromabr/titanic-eda", "kernel_id": "75184677"}, {"ref": "enescanerkan1/titanic-data-visualization", "kernel_id": "75025578"}, {"ref": "quentinmorenogelos/titanic-beginner", "kernel_id": "75414587"}, {"ref": "cynthiaronoh/exercise-arithmetic-and-variables", "kernel_id": "75609010"}, {"ref": "serhiiyanovskii1/notebookca4277deea", "kernel_id": "75530545"}, {"ref": "serhiiyanovskii1/titanic-sol", "kernel_id": "75526951"}, {"ref": "rahulg12911/tiitanic", "kernel_id": "75402373"}, {"ref": "nikolasgegenava/titanic-competition-ioai-4", "kernel_id": "75609002"}, {"ref": "doaasobhi/titanic-tutorial", "kernel_id": "75626757"}, {"ref": "ekeshwaripatil/exercise-arithmetic-and-variables", "kernel_id": "75559739"}, {"ref": "saritahimthani/titanic-exploratory-data-analysis", "kernel_id": "75279710"}, {"ref": "olimsuyunboyev/titanic-prediction", "kernel_id": "75356047"}, {"ref": "arielsadetsky18/dswa-titanic-base", "kernel_id": "75628470"}, {"ref": "sherjeelbinaamir/sba-titanic-v01", "kernel_id": "75909183"}, {"ref": "sherjeelbinaamir/sba-titanic-submission", "kernel_id": "75977878"}, {"ref": "hemakandivan/titanic-prediction", "kernel_id": "75929856"}, {"ref": "tanishjain0604/titanic-survivor-prediction", "kernel_id": "75516724"}, {"ref": "coralpage/notebook16c904b502", "kernel_id": "75509609"}, {"ref": "benjaminschnedler/another-take-on-titanic", "kernel_id": "75557181"}, {"ref": "carolinavelazquez16/cvl-titanic-v01", "kernel_id": "75943755"}, {"ref": "carolinavelazquez16/cvltitanic-submission", "kernel_id": "75943914"}, {"ref": "osamam7md/titanic-pred", "kernel_id": "75883819"}, {"ref": "barantuncer/titanic-ml-a-detailed-learning-journey", "kernel_id": "75368516"}, {"ref": "guneethpalakurthy/titanic-my-first-kaggle-competition", "kernel_id": "75269546"}, {"ref": "samuel0930/survival-analytics-titanic-disaster-case-study", "kernel_id": "75040332"}, {"ref": "trashhasan/decision-trees-random-forest-for-beginners", "kernel_id": "75189365"}, {"ref": "eidenspark/notebook6b8d8cd056", "kernel_id": "75260373"}, {"ref": "ldausl/titanic-advanced-feature-engineering-tutorial", "kernel_id": "75144128"}, {"ref": "ldausl/titanic-top-4-with-ensemble-modeling", "kernel_id": "75140630"}, {"ref": "ldausl/exploring-survival-on-the-titanic", "kernel_id": "75139860"}, {"ref": "ldausl/eda-to-prediction-dietanic", "kernel_id": "75140005"}, {"ref": "baddu01/titanic", "kernel_id": "75072037"}, {"ref": "mounirbh/1trial", "kernel_id": "75495631"}, {"ref": "juanazhang/251bus-212a-homework-5-titanic", "kernel_id": "75473636"}, {"ref": "bodabelal/notebook765eabf8b1", "kernel_id": "75430215"}, {"ref": "gogoooo/notebook901c0a4a32", "kernel_id": "75429834"}, {"ref": "shawkiii/notebookeba8273353", "kernel_id": "75462190"}, {"ref": "plroven/titanic-competition-notebook", "kernel_id": "75346054"}, {"ref": "abdalrhmanahmedcs/notebookb42b515c16", "kernel_id": "75474778"}, {"ref": "ibrahimhamadacs/notebook8a4caee331", "kernel_id": "75478828"}, {"ref": "carolbakhit/tutorial-1-2", "kernel_id": "75623120"}, {"ref": "mahmoudahmed767/notebooke59794c6a4", "kernel_id": "75475657"}, {"ref": "arlindosmjunior/end-to-end-project-with-python", "kernel_id": "75358957"}, {"ref": "soheesoso/titanic-prediction", "kernel_id": "75322545"}, {"ref": "soheesoso/titanic-tutorial", "kernel_id": "75322312"}, {"ref": "emanarshad23/assignment-01", "kernel_id": "75508758"}, {"ref": "nigelif/titanic", "kernel_id": "75507688"}, {"ref": "mahamiftikhar20/assignment-1-ai", "kernel_id": "75285377"}, {"ref": "mrvillain69/data-science-best-practices-with-pandas-2-0-p2", "kernel_id": "75810004"}, {"ref": "xleepy/titanic-logistic-regression", "kernel_id": "75701246"}, {"ref": "sreekaranreddy1704/fastai", "kernel_id": "75587916"}, {"ref": "jakubkrasuski/titanic-machine-learning-from-disaster", "kernel_id": "75944384"}, {"ref": "yunjun0914/titanic-randomforest-parameter-tuned", "kernel_id": "75541438"}, {"ref": "faith701/titanic-dataset-f-k", "kernel_id": "75968147"}, {"ref": "dhirajthakre/titanic-survival-prediction", "kernel_id": "75510614"}, {"ref": "dhirajthakre/titanic-survival-prediction-through-diff-models", "kernel_id": "75045930"}, {"ref": "chappiewool/titaniccomp1", "kernel_id": "75908330"}, {"ref": "aryanrastogi17/pycaret-titanicml", "kernel_id": "75511221"}, {"ref": "ceyhunabbasov/titanic-logistic-regression", "kernel_id": "75206655"}, {"ref": "eminaanapaydn/titanic-competition", "kernel_id": "75334317"}, {"ref": "suriyaem/logistic-regression-with-94-accuracy", "kernel_id": "75797263"}, {"ref": "alicanetin/ali-can-titanic-eda", "kernel_id": "75300100"}, {"ref": "nitheeshantony/gpu-data-processing-model", "kernel_id": "75197110"}, {"ref": "godvaquero/titanic-1st-attempt", "kernel_id": "75095799"}, {"ref": "benmoginot/titanic-random-forest", "kernel_id": "75213872"}, {"ref": "yatinjindal/notebookd468c10a3a", "kernel_id": "75127056"}, {"ref": "manish120904/titanic-survival-prediction", "kernel_id": "75951047"}, {"ref": "khatranm/fastai", "kernel_id": "75033137"}, {"ref": "meunyaolya/olgavs-titanic", "kernel_id": "75917407"}, {"ref": "olliestanton/titanic-ml-for-beginners-attempt-1", "kernel_id": "75415619"}, {"ref": "muhammedfurkansavuci/titanic", "kernel_id": "75811240"}, {"ref": "ezgicode/getting-started-with-titanic", "kernel_id": "75214696"}, {"ref": "elifavdar/first-notebook", "kernel_id": "75634096"}, {"ref": "addielhrc/myfirstdataanalisys-project", "kernel_id": "75066901"}, {"ref": "blagovestmanolov1/titanic", "kernel_id": "75074178"}, {"ref": "xray2025/notebook-firsttest", "kernel_id": "75834768"}, {"ref": "gabusmedina/exercise-arithmetic-and-variables", "kernel_id": "75331705"}, {"ref": "lijin1006/titanic", "kernel_id": "75086203"}, {"ref": "dipanshudhiman/ids-workshop", "kernel_id": "75143160"}, {"ref": "ajmaliitm/titanic-machine-learning-from-disaster", "kernel_id": "75329226"}, {"ref": "bedirhankeser/titanic-eda", "kernel_id": "75735249"}, {"ref": "reinaldoduque/titanic-prediction", "kernel_id": "75272797"}, {"ref": "masonyeamans/exercise-arithmetic-and-variables", "kernel_id": "75216749"}, {"ref": "raxeirax/titanic-survival-prediction-78-model-accuracy", "kernel_id": "75334561"}, {"ref": "rui410/titanic", "kernel_id": "75267778"}, {"ref": "dhruvpatel1908/titanic-tutorial", "kernel_id": "75696097"}, {"ref": "tommyfisher620/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "75359186"}, {"ref": "tommyfisher620/titanic-survival-prediction", "kernel_id": "75358926"}, {"ref": "tommyfisher620/eda-using-univariate-analysis", "kernel_id": "75358825"}, {"ref": "yigitkiratli/titanic-eda", "kernel_id": "75498401"}, {"ref": "azknawal/getting-started-with-titanic", "kernel_id": "75512857"}, {"ref": "henriquedemoraes/henrique-titanic", "kernel_id": "75435083"}, {"ref": "soyawehrenberg/titanicdataset", "kernel_id": "75465989"}, {"ref": "danielkucinski/titanic-solution", "kernel_id": "75503877"}, {"ref": "csvishalrout/ml-titanic-project", "kernel_id": "75504599"}, {"ref": "pedrofilipesantos/notebook71ae27eac7", "kernel_id": "75567994"}, {"ref": "lucashuangg/titanic-lucas-huang", "kernel_id": "75688952"}, {"ref": "yacine1148/titanic-predictions-model", "kernel_id": "75843944"}, {"ref": "tarikashah/titanic-machine-learning-from-disaster", "kernel_id": "75599533"}, {"ref": "navprabakar/titanic-prediction", "kernel_id": "75745131"}, {"ref": "juanespinozablanco/exercise-arithmetic-and-variables", "kernel_id": "75824048"}, {"ref": "rzdanur/notebook3d4b445c27", "kernel_id": "75844734"}, {"ref": "nadaalfowey2/notebook93b7873781", "kernel_id": "75796233"}, {"ref": "abdallahradwaan/notebook6c75b57181", "kernel_id": "75802622"}, {"ref": "bodaadeel/notebookc640a0e5da", "kernel_id": "75803048"}, {"ref": "hoanguyen1301/titanic-sample-notebook", "kernel_id": "75862489"}, {"ref": "jasonsteigerwald/jason-titanic-notebook1", "kernel_id": "75951110"}, {"ref": "gregorychernyavskiy/notebook2e57767209", "kernel_id": "75948109"}, {"ref": "jothikasai/jothika-sai-titanic-v01", "kernel_id": "75971801"}, {"ref": "alexperrier/titanic-sandbox-01", "kernel_id": "76150254"}, {"ref": "brianedwards/titanic-catboost-submission", "kernel_id": "76081370"}, {"ref": "ofyalcin/titanic-gendersubmission", "kernel_id": "76015827"}, {"ref": "selcukcan/da-4-1-summary-python-for-data-8-numpy-arrays", "kernel_id": "76599339"}, {"ref": "selcukcan/python-for-data-5-lists", "kernel_id": "76133906"}, {"ref": "selcukcan/python-for-data-6-tuples-and-strings", "kernel_id": "76134543"}, {"ref": "selcukcan/python-for-data-7-dictionaries-and-sets", "kernel_id": "76135599"}, {"ref": "keitano/titanic-basic-eda-visualization", "kernel_id": "76429943"}, {"ref": "reynardamadeus/ml-exercise-1", "kernel_id": "76629030"}, {"ref": "chennno/helloworld", "kernel_id": "76550030"}, {"ref": "reaper0/feature-engineering", "kernel_id": "76228721"}, {"ref": "superout/titanic-survival-prediction", "kernel_id": "76485587"}, {"ref": "serhiizhukov/kaggle-become-contributor-ukrainian-guide", "kernel_id": "76805093"}, {"ref": "adithyachalla/titanic-ml-prediction", "kernel_id": "76390620"}, {"ref": "vidyalakshmirao/vidya2-titanic", "kernel_id": "76575404"}, {"ref": "neeladas/getting-started-with-titanic", "kernel_id": "76358377"}, {"ref": "batuhanumay/titanic-machine-learning-from-disaster", "kernel_id": "76367230"}, {"ref": "ermergesh/stormhacks-prehack-intro-to-ds-ml-workshop", "kernel_id": "76642844"}, {"ref": "andreipaulavets/titanic-prediction-0-794-score", "kernel_id": "76804548"}, {"ref": "nihshabdah/different-algorithms-on-titanic-data", "kernel_id": "76603090"}, {"ref": "pankui/notebook-titanic-simple-random-forest", "kernel_id": "76411810"}, {"ref": "hanigaouaou/titanic-survival-prediction", "kernel_id": "76476490"}, {"ref": "jsthesha/jayasurya-titanic-data-science", "kernel_id": "76042753"}, {"ref": "michaorlewski/titanic-prediction-ensemble-optuna-with-eda", "kernel_id": "76744318"}, {"ref": "masayakawamata/tabpfn-starter-cv-0-8305-lb-0-77990", "kernel_id": "76585613"}, {"ref": "mauryashikhar87/handling-missing-data-knn-imputer-multivariate", "kernel_id": "76219621"}, {"ref": "mauryashikhar87/handling-missing-data-automatically-select-imputer", "kernel_id": "76165899"}, {"ref": "hamdimohamed22/titanic", "kernel_id": "76923583"}, {"ref": "shashwatsharma12304/data-preprocessing-complete", "kernel_id": "76467643"}, {"ref": "lamaalsaif01/predict-titanic-survivors-and-cabin-level", "kernel_id": "76830818"}, {"ref": "dardoguizzo/titanic-dardo", "kernel_id": "76813489"}, {"ref": "aayushhraj/titanic-machine-learning", "kernel_id": "76511585"}, {"ref": "nihalkumarsharma/titanic", "kernel_id": "76571277"}, {"ref": "snehalkhandewale/titanic-lgbm", "kernel_id": "76790750"}, {"ref": "snehalkhandewale/titanic-base-models", "kernel_id": "76433892"}, {"ref": "sampeligreno/titanic-survivors-answer", "kernel_id": "76902487"}, {"ref": "rishitaverma/titanic-model", "kernel_id": "76785113"}, {"ref": "rishitaverma/train01", "kernel_id": "76780605"}, {"ref": "rishitaverma/gender-submission", "kernel_id": "76776129"}, {"ref": "rishitaverma/test01", "kernel_id": "76776685"}, {"ref": "vinodkumargurjar/titanic-machine-learning-from-disaster", "kernel_id": "76819788"}, {"ref": "eshagadgil/notebook2eb0ced3c7", "kernel_id": "76608618"}, {"ref": "sadiyasajid/titanic-eda", "kernel_id": "76380311"}, {"ref": "amish4305/titanic-passenger-survivability-prediction", "kernel_id": "76356736"}, {"ref": "aiham04/notebook098ee24e03", "kernel_id": "76173622"}, {"ref": "prathapasriharsha/titanic-nb-with-different-ml-algos", "kernel_id": "76648700"}, {"ref": "anitarostami/titanic-neural-network-from-scratch", "kernel_id": "76800788"}, {"ref": "phiochris/titanic", "kernel_id": "76276769"}, {"ref": "yashwanthidk/notebookc18a1f6990", "kernel_id": "76528750"}, {"ref": "eliasproger/titanic-experiments", "kernel_id": "76327128"}, {"ref": "hasanmehdavi/21k-4885-dlp-lab-3-task-3", "kernel_id": "76795198"}, {"ref": "michaelpjankov/etu-dd-titanic", "kernel_id": "76011214"}, {"ref": "mtalha641/dlp-lab-3-21k-3288", "kernel_id": "76797378"}, {"ref": "algovai/titaniccompetitionslogisticregression", "kernel_id": "76761933"}, {"ref": "abhijsw/titan", "kernel_id": "76990107"}, {"ref": "hosnyabdullahmohamed/titanic-machine-learning", "kernel_id": "76801291"}, {"ref": "ebubekirtilbac/titanic-ml", "kernel_id": "76364780"}, {"ref": "kevinliong/ml-titanic-exercise", "kernel_id": "76523920"}, {"ref": "ajshdjf/notebook08ebf1e114", "kernel_id": "76607142"}, {"ref": "vixen06/titanic-randomforest", "kernel_id": "76864105"}, {"ref": "muhammedjunayed/high-accuracy-in-titanic", "kernel_id": "76505867"}, {"ref": "gauthamgr/titanic-by-gautham-r", "kernel_id": "76786726"}, {"ref": "lawrencecode/titanic-problem", "kernel_id": "76615497"}, {"ref": "raidathmane/titanic-with-attention", "kernel_id": "76902009"}, {"ref": "noeldin25/titanic-plot-random-forest", "kernel_id": "76223070"}, {"ref": "sureshsirigineedi/suresh-titanic-v01", "kernel_id": "76338869"}, {"ref": "niallks/titanic", "kernel_id": "76081964"}, {"ref": "niallks/notebook28a0133618", "kernel_id": "76343179"}, {"ref": "debs2x/notebook3e815c5ecd", "kernel_id": "76735413"}, {"ref": "minhthiennguyen/titanic-competition", "kernel_id": "76789996"}, {"ref": "deepali2510/titanic-survived", "kernel_id": "76327906"}, {"ref": "yanplayz08/titanic-using-neural-network-0-77", "kernel_id": "76414236"}, {"ref": "profodonnell/titanic-classier-pipeline-solution-20250210", "kernel_id": "76404691"}, {"ref": "profodonnell/titanic-classier-pipeline-example-20250210", "kernel_id": "76390967"}, {"ref": "ryankusekwa/titanic-by-ryan", "kernel_id": "76278677"}, {"ref": "clarissaad/getting-started-with-titanic", "kernel_id": "76489169"}, {"ref": "sanilawijesekara/titanic-survival-prediction", "kernel_id": "76220850"}, {"ref": "lunatickhan/dlp-lab3-titanic", "kernel_id": "76655676"}, {"ref": "michaelrowen/shap-analysis-basic-xgb-baseline", "kernel_id": "76782497"}, {"ref": "michaelrowen/top-2-xgb-catb-ensemble-solution-with-optuna", "kernel_id": "76497423"}, {"ref": "michaelrowen/top-5-titanic-voting-ensemble", "kernel_id": "76348306"}, {"ref": "jasonmelvinhartono/titanic-eda", "kernel_id": "76348922"}, {"ref": "jonk04/jonathan-kennedy-s-finished-titanic-prediction", "kernel_id": "76084346"}, {"ref": "sisirsamanta/notebookc1849606de", "kernel_id": "76746781"}, {"ref": "mohdanasjdjdndr/titanic-machine-learning-model", "kernel_id": "76705807"}, {"ref": "r1abdelgwad/titanic", "kernel_id": "76844718"}, {"ref": "victorsabino36/titanicchallenge-victorsabino", "kernel_id": "76728876"}, {"ref": "csmsrs/k21-4907-dlp-lab-3-q3", "kernel_id": "76544151"}, {"ref": "doniciionutbogdan/titanic-competition-bogdan", "kernel_id": "76790869"}, {"ref": "arqamghauri/titanicprediction-k213838", "kernel_id": "76791906"}, {"ref": "nguyenlyly/titanic-sample-notebook", "kernel_id": "76326386"}, {"ref": "nouralhoudarojbani/exercise-arithmetic-and-variables", "kernel_id": "76742743"}, {"ref": "shiyuzhan12/getting-started-with-titanic", "kernel_id": "76512312"}, {"ref": "aneeshgrover/decision-trees", "kernel_id": "76064763"}, {"ref": "saeedsr/titanic-analysis", "kernel_id": "76981289"}, {"ref": "kevinsweep/eda-and-preprocessing1", "kernel_id": "76525914"}, {"ref": "kevinsweep/eda-and-preprocess2", "kernel_id": "76579976"}, {"ref": "hasanalperenkurt/titanic-survive", "kernel_id": "76838523"}, {"ref": "yashsahu02/titanic-machine-learning-from-disaster-eda", "kernel_id": "76230916"}, {"ref": "danaboayrat/notebook1b720360b2", "kernel_id": "76655102"}, {"ref": "gv1712/titanic-prediction-model", "kernel_id": "76701858"}, {"ref": "twinkle05/titanic-tutorial", "kernel_id": "76384801"}, {"ref": "mohamednabeelmn10/titanic-competition", "kernel_id": "76312508"}, {"ref": "mateentak/simple-prediction-using-randomforestclassifier", "kernel_id": "76323721"}, {"ref": "mkb776/titanic-survival-96-accuracy", "kernel_id": "76439171"}, {"ref": "pochiehhuang/titanic-machine-learning-using-decision-tree2", "kernel_id": "76705464"}, {"ref": "ekeshwaripatil/titanic-regression-model", "kernel_id": "76908645"}, {"ref": "waheediqbal01/notebook1561473c73", "kernel_id": "76370777"}, {"ref": "nirjhardebnath/titanic-dataset", "kernel_id": "76462719"}, {"ref": "kolasanidinesh/titanic-project-using-random-forest-classifier", "kernel_id": "76374682"}, {"ref": "joaopecorella/titanic-kaggle", "kernel_id": "76331087"}, {"ref": "suleymanertekin/titanic", "kernel_id": "76893858"}, {"ref": "silpaveluru/sv-titanic-v01", "kernel_id": "76290931"}, {"ref": "sameerkumar1657/titanic-1st-attempt", "kernel_id": "76185048"}, {"ref": "sameerkumar1657/titanic-2nd-attempt", "kernel_id": "76271571"}, {"ref": "sameerkumar1657/titanic-attempt-3", "kernel_id": "76368752"}, {"ref": "valentypo/ml-week-2-steven-valentino-taslim", "kernel_id": "76349206"}, {"ref": "pratishchaudhary/getting-started-with-titanic", "kernel_id": "76883657"}, {"ref": "fathimanafreeza/baneet-titanic", "kernel_id": "76297192"}, {"ref": "kcro42/notebookfcda8e9f9e", "kernel_id": "76349081"}, {"ref": "alizain4653/dlp-q3-k214653-alizain", "kernel_id": "76550945"}, {"ref": "sanjidh090/titanic-projects", "kernel_id": "76015715"}, {"ref": "krishnaprasadaji/data-mining-hw-1", "kernel_id": "76019702"}, {"ref": "mohamedmosad23/titanic-problem", "kernel_id": "76447857"}, {"ref": "jingweii97/titanicmachinelearning-score-78468-final", "kernel_id": "76732804"}, {"ref": "zoewang929/titan-pre", "kernel_id": "76535968"}, {"ref": "moazgehad/titanic-analysis-and-predictions", "kernel_id": "76371788"}, {"ref": "anoopbabuasu/titanic-data-science-solutions", "kernel_id": "76027900"}, {"ref": "alimovaa/titanic-machine-learning", "kernel_id": "76888726"}, {"ref": "binfinity/titanic-a-comprehensive-beginner-to-pro-guide", "kernel_id": "76599231"}, {"ref": "arjungirish05/titanicprediction", "kernel_id": "76831734"}, {"ref": "tannertyra/titanic-data-analysis", "kernel_id": "76097378"}, {"ref": "soheesoso/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "76183084"}, {"ref": "abhiraj7821/titanic-dataset-prediction", "kernel_id": "76783921"}, {"ref": "alaaharb7/titanic-project", "kernel_id": "76369584"}, {"ref": "rayvelg/titanic-preprocess-eda-rayvel-geraldo-budiyono", "kernel_id": "76349110"}, {"ref": "ahmadfaisal7/titanic-preprocessing", "kernel_id": "76714808"}, {"ref": "usmanabbasi2002/titanic-dataset-competition", "kernel_id": "76803242"}, {"ref": "khaloodsami/notebook8b8455bf94", "kernel_id": "76778975"}, {"ref": "damtrang/titanic-dhchag", "kernel_id": "76541592"}, {"ref": "anhnguyenthuy/titanic-sample-notebook", "kernel_id": "76312213"}, {"ref": "bilalifi/titaniceda", "kernel_id": "76249473"}, {"ref": "michmach/exploratory-data-analysis", "kernel_id": "76520693"}, {"ref": "idanbaru/titanic-competition-random-forest", "kernel_id": "76831595"}, {"ref": "ermarchear/titanic", "kernel_id": "76430915"}, {"ref": "ermarchear/titanic-2-sedov", "kernel_id": "76821261"}, {"ref": "sergeykhodzhayev/getting-start-with-titanic", "kernel_id": "76173895"}, {"ref": "robsonpython/titanic-machine-learning-from-disaster", "kernel_id": "76104100"}, {"ref": "nnadozieoluchi/getting-started-with-titanic", "kernel_id": "76926104"}, {"ref": "gregorysemakin/my-first-ml-project", "kernel_id": "76277473"}, {"ref": "janmartins/titanic-v2-0", "kernel_id": "76747696"}, {"ref": "esantosdata/titanic-dataset-applying-ml-model-on-datas", "kernel_id": "76730479"}, {"ref": "esantosdata/titanic-dataset-applying-ml-model-on-datas-pt2", "kernel_id": "76787644"}, {"ref": "rajj01/titanic-is-sinking", "kernel_id": "76613424"}, {"ref": "sauravkumaranand/notebook95fa16b018", "kernel_id": "76173092"}, {"ref": "viniferreirads/titanic-predicting-passenger-survival", "kernel_id": "76678798"}, {"ref": "alexanderriabchinski/notebook25906e25f8", "kernel_id": "76095401"}, {"ref": "rakeshbh/titanic-survival-prediction", "kernel_id": "76041327"}, {"ref": "iremkocak23/mytitanicnotebook", "kernel_id": "76452076"}, {"ref": "shilpakaverii/notebookd9bfeaacf7", "kernel_id": "76855340"}, {"ref": "honoranidey/ai2010x-lab", "kernel_id": "76089927"}, {"ref": "benbettis/first-kaggle-notebook", "kernel_id": "76084617"}, {"ref": "aarushksharma/notebook2b2c448152", "kernel_id": "76953010"}, {"ref": "abhikashid10122002/fork-of-first", "kernel_id": "76955175"}, {"ref": "singhchetna/notebooke8ccee51c1", "kernel_id": "76955446"}, {"ref": "piyush1302/titanic-ai-ml-work", "kernel_id": "76955165"}, {"ref": "metinyildirim93/titanic-eda-full", "kernel_id": "76963668"}, {"ref": "nicknicknigel/titanic-tutorial", "kernel_id": "76384703"}, {"ref": "berkantakgun/titanicsurviveprediction", "kernel_id": "76272883"}, {"ref": "moose11/titanic-tutorial-2", "kernel_id": "76622249"}, {"ref": "andrewchittum/first-kaggle-notebook-andrewc", "kernel_id": "76084642"}, {"ref": "othompson/first-kaggle-notebook", "kernel_id": "76084630"}, {"ref": "gbeminiyionipede/titanic-full-eda-with-deep-analysis", "kernel_id": "76051608"}, {"ref": "roderichcavine/machine-learning-lj01-roderich-cavine-chow", "kernel_id": "76356938"}, {"ref": "michaelproeschel/notebookcf97fbba9a", "kernel_id": "76033221"}, {"ref": "jerryzheng1/first-kaggle-notebook", "kernel_id": "76084612"}, {"ref": "owenjewell/getting-started-with-titanic", "kernel_id": "76082291"}, {"ref": "gmicaisu/labtitanic", "kernel_id": "76081827"}, {"ref": "rebeccadinslage/4th-notebook", "kernel_id": "76096798"}, {"ref": "cwestbrock/notebook755f15dd35", "kernel_id": "76084157"}, {"ref": "alainasteffen/kaggle-lab-1-titanic", "kernel_id": "76083445"}, {"ref": "aydengonzalez/first-kaggle-notebook", "kernel_id": "76084644"}, {"ref": "jacoblehrman/first-kaggle-notebook", "kernel_id": "76084365"}, {"ref": "kovidhnagula/notebook3203ab818e", "kernel_id": "76084614"}, {"ref": "mikaylaschultz/titanic-machine-learning", "kernel_id": "76606749"}, {"ref": "rishonpakalapati/notebooka1f8acca4d", "kernel_id": "76621346"}, {"ref": "brodief/first-kaggle-notebook", "kernel_id": "76084631"}, {"ref": "isuethanfarrell/first-kaggle-notebook", "kernel_id": "76084428"}, {"ref": "leodastici/titanic", "kernel_id": "76624233"}, {"ref": "leodastici/first-kaggle-notebook", "kernel_id": "76084616"}, {"ref": "mahathireddy17/mahathireddy-titanic", "kernel_id": "76084623"}, {"ref": "sravyaevoory/titanic-survival-prediction", "kernel_id": "76604165"}, {"ref": "lixiangwakeheart/titanic", "kernel_id": "76827111"}, {"ref": "yashmehhhh/notebook2b30c4be95", "kernel_id": "76606159"}, {"ref": "safone/titanic-ml-from-disaster", "kernel_id": "76331096"}, {"ref": "lenshik/sink-or-survive-predicting-titanic-survival", "kernel_id": "76285574"}, {"ref": "trnhuynchm/thefirstnotebook", "kernel_id": "76308459"}, {"ref": "panhnguyen2807/titanic-panh-notebook", "kernel_id": "76319235"}, {"ref": "hainyen/titanic-nthy-notebook", "kernel_id": "76322865"}, {"ref": "alithsxz/notebook719f8dbc14", "kernel_id": "76410491"}, {"ref": "gogolmod/123454", "kernel_id": "76352120"}, {"ref": "harshit12120/notebook50b52898af", "kernel_id": "76844609"}, {"ref": "soratoscalar/titanic-test", "kernel_id": "76401616"}, {"ref": "tanisharavindran/titanic-dataset-2", "kernel_id": "76621693"}, {"ref": "a10086/notebook5912db317a", "kernel_id": "76527775"}, {"ref": "owenjiang1227/getting-started-with-titanic", "kernel_id": "76652271"}, {"ref": "zhaosurf/notebook02ed2506e6", "kernel_id": "76417817"}, {"ref": "vnguyen99/vtn-titanic-v01", "kernel_id": "76467356"}, {"ref": "vnguyen99/vtn-titanic-submission", "kernel_id": "76467490"}, {"ref": "charnicemathe/notebook97e02d8d93", "kernel_id": "76871710"}, {"ref": "electricalant/getting-started-with-titanic", "kernel_id": "76469689"}, {"ref": "brampeterson/notebooka1aba76f7e", "kernel_id": "76538388"}, {"ref": "minhhangg/titanic-sample-draft", "kernel_id": "76553450"}, {"ref": "raistefiku/titanic-v9", "kernel_id": "76573831"}, {"ref": "kylerichardson02/notebook5904b4bde1", "kernel_id": "76567853"}, {"ref": "amiyanix/notebookdb05db9b35", "kernel_id": "76587458"}, {"ref": "alessiosmerilli/titanic-excercise", "kernel_id": "76606347"}, {"ref": "markplatt/notebook6d5afb121b", "kernel_id": "76606417"}, {"ref": "miarvogel/version-3", "kernel_id": "76607392"}, {"ref": "miarvogel/notebook431f6156c0", "kernel_id": "76624079"}, {"ref": "nolangustafson/notebook3", "kernel_id": "76619511"}, {"ref": "calebmaundu/exercise-arithmetic-and-variables", "kernel_id": "76649828"}, {"ref": "vishalsinghdogra/gender-submission", "kernel_id": "76850159"}, {"ref": "vishalsinghdogra/testing-2-1", "kernel_id": "76849974"}, {"ref": "vishalsinghdogra/testing-1", "kernel_id": "76847526"}, {"ref": "vishalsinghdogra/titanic-model", "kernel_id": "76854920"}, {"ref": "k214600farhanahmed/k214600-lab-3-neural-networks-keras-task-3", "kernel_id": "76737136"}, {"ref": "omoladeoluwafemi/exercise-arithmetic-and-variables", "kernel_id": "76867087"}, {"ref": "cjefferies/cj-titaniccomp", "kernel_id": "76740685"}, {"ref": "ankushpanday2/titanic-tutorial", "kernel_id": "76846859"}, {"ref": "k214950/submission", "kernel_id": "76785852"}, {"ref": "miriamdesta/titanic-md", "kernel_id": "76863222"}, {"ref": "ibadkhan77/notebook301f2b736a", "kernel_id": "76795904"}, {"ref": "kaustavsinharay/train-1", "kernel_id": "76825442"}, {"ref": "kaustavsinharay/test-1", "kernel_id": "76846975"}, {"ref": "kaustavsinharay/gender-submission", "kernel_id": "76847112"}, {"ref": "kaustavsinharay/titanic-model", "kernel_id": "76847452"}, {"ref": "zzoonngk/titanic", "kernel_id": "76970378"}, {"ref": "falcoweich/titanic-competition-rf-rsearch-xgb", "kernel_id": "76972137"}, {"ref": "anazli/titanic-random-forest", "kernel_id": "77332885"}, {"ref": "ofyalcin/notebook27a465dbf6", "kernel_id": "77766799"}, {"ref": "ofyalcin/notebook0e91cc5062", "kernel_id": "77749086"}, {"ref": "selcukcan/python-for-data-10-reading-and-writing-data", "kernel_id": "77523652"}, {"ref": "selcukcan/da-9-python-for-data-9-pandas-dataframes", "kernel_id": "77043076"}, {"ref": "suryadeepti/data-understanding-and-analysis", "kernel_id": "77947398"}, {"ref": "lold11/feedforwardnetworkwithpytorch", "kernel_id": "77575985"}, {"ref": "annastasy/your-guide-to-data-visualization", "kernel_id": "77404677"}, {"ref": "noneee/titanic-survival-prediction-using-neural-networks", "kernel_id": "77801917"}, {"ref": "tutututututu/notebook29c55c03d0", "kernel_id": "77837459"}, {"ref": "csmohamedayman/eda-tab-titanic-disaster", "kernel_id": "77058708"}, {"ref": "alansainthilaire/titanic-starter", "kernel_id": "77280902"}, {"ref": "vivekgediya/eda-practice", "kernel_id": "77807607"}, {"ref": "rikiyahonda/titanic-glm-r-japanese", "kernel_id": "77763448"}, {"ref": "rikiyahonda/titanic-glm-r-english", "kernel_id": "77779011"}, {"ref": "rikiyahonda/titanic-20250226", "kernel_id": "77429320"}, {"ref": "kricanek/csc502-titanic", "kernel_id": "77539658"}, {"ref": "imbatjd/notebook9ac721aa6b", "kernel_id": "77717531"}, {"ref": "maryigwilo/notebook2281f5fb31", "kernel_id": "77596404"}, {"ref": "bestealtiner/titanic-ml", "kernel_id": "77666067"}, {"ref": "joeyjoeyjoey/titanic-logisticregression", "kernel_id": "77494989"}, {"ref": "hriditatiasha/titanic-dataset-prediction", "kernel_id": "77716721"}, {"ref": "andreipaulavets/titanic-competition-basic-feature-transformation", "kernel_id": "77551409"}, {"ref": "lhucastenorio/titanic-modelling-with-rf", "kernel_id": "77899525"}, {"ref": "pattae/titanic", "kernel_id": "77544538"}, {"ref": "demetbaltan/titanic-logistic-regression", "kernel_id": "77439545"}, {"ref": "kuldeepjangra/notebook8d08519481", "kernel_id": "77889335"}, {"ref": "ehsanreghabi/a-guide-to-classification-the-titanic-dataset", "kernel_id": "77888518"}, {"ref": "indulekha999/titanic-ikp", "kernel_id": "77774531"}, {"ref": "nhupha/nhu-s-lab", "kernel_id": "77620420"}, {"ref": "michalinahulak/handling-with-categorical-data", "kernel_id": "77586293"}, {"ref": "akumagrey/titanic-survival-prediction", "kernel_id": "77194831"}, {"ref": "chandinikottakota/titanic-machine-learning-from-disaster", "kernel_id": "77939198"}, {"ref": "behiyenilayogultekin/titanic-disaster", "kernel_id": "77042351"}, {"ref": "zyinnju/zy522024320226", "kernel_id": "77807343"}, {"ref": "mrabbyilyas/titanic-survival-model-competition", "kernel_id": "77563488"}, {"ref": "trevorbraico/titanic", "kernel_id": "77961651"}, {"ref": "nickoloszh/titanic-machine-learning-from-disaster", "kernel_id": "77793569"}, {"ref": "raedaddala/titanic-solution-1", "kernel_id": "77695954"}, {"ref": "berkaybayramolu/titanic-survival-analysis-with-ml", "kernel_id": "77140038"}, {"ref": "timothymcahyana/titanic-competition", "kernel_id": "77871339"}, {"ref": "liyangng/titanic-ml-prediction", "kernel_id": "77132369"}, {"ref": "han517/hw-1-for-big-data", "kernel_id": "77767096"}, {"ref": "fadhlakmal/modul-0-ml", "kernel_id": "77153073"}, {"ref": "amjadkhaliliah/titanic-prediction", "kernel_id": "77439641"}, {"ref": "christiantaylor5503/notebooka966de33cf", "kernel_id": "77620362"}, {"ref": "amrkabbary/titanic-survival-prediction-a-beginner-s-guide", "kernel_id": "77760925"}, {"ref": "michaszkolanek/titanic-survival-prediction", "kernel_id": "77654108"}, {"ref": "lukrusy/bigdata-work2", "kernel_id": "77724967"}, {"ref": "streamsong/bigdata-hw1", "kernel_id": "77728912"}, {"ref": "chriskreienkamp/titanic", "kernel_id": "77074201"}, {"ref": "rezaghanbariadivi/titanic-machine-learning-from-disaster", "kernel_id": "77119468"}, {"ref": "kishorreddy9/titanic-beginner-voting-ensemble", "kernel_id": "77893482"}, {"ref": "zaynge/assignment-1", "kernel_id": "77797870"}, {"ref": "mosaadhendam/survive-the-titanic-predict-who-makes-it", "kernel_id": "77205455"}, {"ref": "luxcph/titanic-notebook", "kernel_id": "77377691"}, {"ref": "christianrogers1/simple-neural-network-for-the-titanic-challenge", "kernel_id": "77634038"}, {"ref": "onurkarasurmeli/getting-started-with-titanic", "kernel_id": "77501932"}, {"ref": "chuhari/titanic-survival-prediction-beginner-submission", "kernel_id": "77179161"}, {"ref": "landonlc/landon-casstevens-csc-502-titanic-notebook", "kernel_id": "77547720"}, {"ref": "ijlalakhtar/titanic-competition-nb", "kernel_id": "77237447"}, {"ref": "sedanurceviral/titanic-rf-knn-xgboost-predictions", "kernel_id": "77310257"}, {"ref": "dmitrysharonovqecal/ml-lab-1", "kernel_id": "77165194"}, {"ref": "giftallanmaseko/titanic-model", "kernel_id": "77969676"}, {"ref": "abdelrahman2004/titanic", "kernel_id": "77810221"}, {"ref": "benjnb/titanic-survival-prediction-using-xgboost", "kernel_id": "77890703"}, {"ref": "m1maka/titanic-machine-learning-first-comp", "kernel_id": "77369404"}, {"ref": "carrieqin211/titanic-logistic-regression-reference", "kernel_id": "77943607"}, {"ref": "koushikkumardinda/titanic-tutorial", "kernel_id": "77371926"}, {"ref": "soumen75/titanic-prediction", "kernel_id": "77584414"}, {"ref": "emanuelemuzio/titanic-notebook", "kernel_id": "77667338"}, {"ref": "owensenn/owen-senn-titanic-version-1", "kernel_id": "77619738"}, {"ref": "sai10py/titanic-ml-competition-notebook", "kernel_id": "77039773"}, {"ref": "babulthakur/titanic", "kernel_id": "77879049"}, {"ref": "clarissaad/clarissa-ad-logistic-regression-titanic", "kernel_id": "77422538"}, {"ref": "gamzenurkarali/titanic-competition", "kernel_id": "77736729"}, {"ref": "michaelrowen/titanic-notebook-collection", "kernel_id": "77106479"}, {"ref": "michaelrowen/feature-engineering-rf-base", "kernel_id": "77034816"}, {"ref": "jasonmelvinhartono/titanic-logreg-hyptune", "kernel_id": "77284730"}, {"ref": "venon553/data-analysis-for-beginners", "kernel_id": "77890326"}, {"ref": "hanoonmohammed/titanic-project", "kernel_id": "77788029"}, {"ref": "lily101/titanic-competition", "kernel_id": "77629202"}, {"ref": "erdemkinsiz/titanic-eda", "kernel_id": "77099374"}, {"ref": "laispedrosaaraujo/titanic", "kernel_id": "77141332"}, {"ref": "harsh1809/titanic", "kernel_id": "77506342"}, {"ref": "ammargamalmahmoud/titanic-machine-learning-from-disaster", "kernel_id": "77810545"}, {"ref": "kebinnuil/titanic-prediction-using-random-forest-tree", "kernel_id": "77381248"}, {"ref": "homanloo/titanic-survival", "kernel_id": "77898461"}, {"ref": "quyuet/build-linear-model-and-neural-net-from-scratch", "kernel_id": "77569967"}, {"ref": "quyuet/use-framework-to-build-a-model", "kernel_id": "77581405"}, {"ref": "amaludinibnu/titanic-amal-with-preprocess-xgboost", "kernel_id": "77115213"}, {"ref": "alituncay/titanic-tutorial", "kernel_id": "77041084"}, {"ref": "shushilsuyel/titaniceda", "kernel_id": "77315919"}, {"ref": "kevinsweep/logistic-titanic", "kernel_id": "77378370"}, {"ref": "xinyuanshan/bigdata-homework-1", "kernel_id": "77871553"}, {"ref": "mariamskoot/titanic-prediction", "kernel_id": "77902323"}, {"ref": "adityachute/titanic-survival-prediction-for-beginners", "kernel_id": "77549084"}, {"ref": "adhamnasreldin/titanic-prediction", "kernel_id": "77340473"}, {"ref": "kacperlipiec/titanic-eda-ml-model", "kernel_id": "77324609"}, {"ref": "mohamedahmed3a/titanic-data-analysis", "kernel_id": "77822293"}, {"ref": "lacroqueta/titanic-model-2", "kernel_id": "77457654"}, {"ref": "smh125/deep-learning-model-to-predict-survival-on-titanic", "kernel_id": "77313427"}, {"ref": "nieniejava/titanictest-score1-0", "kernel_id": "77184984"}, {"ref": "abdelrahman176200/titanic-predection", "kernel_id": "77315657"}, {"ref": "valentypo/ml-week-4-steven-valentino-taslim", "kernel_id": "77283991"}, {"ref": "gehrmang/sequential-model-w-feature-engineering", "kernel_id": "77453736"}, {"ref": "gehrmang/functional-api-model-w-feature-engineering", "kernel_id": "77758885"}, {"ref": "harshalpatil3558/titanic-machine-learning-from-disaster", "kernel_id": "77683405"}, {"ref": "salehahmedsaleh/titanic-classifier", "kernel_id": "77879801"}, {"ref": "divyabgowda23/titanic-survival-prediction", "kernel_id": "77719591"}, {"ref": "minkuekim/titanic-2", "kernel_id": "77580981"}, {"ref": "omarsky/titanic-random-forest-by-omarsky", "kernel_id": "77291882"}, {"ref": "taylormorabito/notebook9521a8d90e", "kernel_id": "77547751"}, {"ref": "prabhav222vyas/getting-start-with-titanic", "kernel_id": "77353834"}, {"ref": "riyankajaiswal/notebook-titanic", "kernel_id": "77173127"}, {"ref": "raj992722/getting-started-with-titanic", "kernel_id": "77718431"}, {"ref": "kcro42/notebook-kf-ml-04", "kernel_id": "77283835"}, {"ref": "benjaminluecke/titanic1", "kernel_id": "77972205"}, {"ref": "sujatasurendranathan/comptitanicpred", "kernel_id": "77388421"}, {"ref": "rayanbelhadi/notebook-titanic-rayan-belhadi", "kernel_id": "77755363"}, {"ref": "ceasonchen/mcm-test1", "kernel_id": "77181691"}, {"ref": "juliankraus/gradientboosting", "kernel_id": "77688890"}, {"ref": "juliankraus/bayes", "kernel_id": "77756625"}, {"ref": "juliankraus/stackingclassifier", "kernel_id": "77902603"}, {"ref": "juliankraus/logisticregression", "kernel_id": "77898806"}, {"ref": "callistaduru/exercise-arithmetic-and-variables", "kernel_id": "77835202"}, {"ref": "meetsiddhapura/xgboost", "kernel_id": "77869097"}, {"ref": "aixuandong/kaggle", "kernel_id": "77799496"}, {"ref": "xaxahaha/titanic-competition", "kernel_id": "77479070"}, {"ref": "kemasmhd/basic-random-forest-model-with-feature-engineering", "kernel_id": "77418090"}, {"ref": "bauyrzhanzhaksylyk/da-lab-1-bauyrzhan-zhaksylyk", "kernel_id": "77712749"}, {"ref": "karishmitamajumder/test-run", "kernel_id": "77106498"}, {"ref": "threeminutesgameplay/titanic-competition", "kernel_id": "77923391"}, {"ref": "ayberkkutlu/titanic-full-model", "kernel_id": "77712554"}, {"ref": "hmmoonwhite/notebookzhanzeqi", "kernel_id": "77789135"}, {"ref": "yy0122/bigdata", "kernel_id": "77972309"}, {"ref": "rayvelg/titanic-logistic-regression", "kernel_id": "77285558"}, {"ref": "matteociccarese/sml-classification-in-titanic-dataset", "kernel_id": "77177311"}, {"ref": "mahimagarwal18/titanic-mahim", "kernel_id": "77401165"}, {"ref": "michmach/logistic-regression", "kernel_id": "77421370"}, {"ref": "theamartyapandey/titanic-submission", "kernel_id": "77922157"}, {"ref": "murattastan/analysis-of-the-titanic-dataset", "kernel_id": "77197991"}, {"ref": "astukari/titanic-using-tensorflow-decision-forests-tutorial", "kernel_id": "77485497"}, {"ref": "harrisoncaetano/titanicdecisiontree", "kernel_id": "77841359"}, {"ref": "asifmostafa88/exercise-arithmetic-and-variables", "kernel_id": "77897076"}, {"ref": "sumelahmad/titanic-voting-classifier", "kernel_id": "77858270"}, {"ref": "borannder/titanic", "kernel_id": "77531529"}, {"ref": "canozensoy/getting-started-titanic-machine-learning", "kernel_id": "77855380"}, {"ref": "dwang6/notebookd4c6418f7b", "kernel_id": "77688312"}, {"ref": "samueldelfre/titanic-xgboost", "kernel_id": "77067825"}, {"ref": "juanroncero/dynamic-model-auto-fine-tunning", "kernel_id": "77527288"}, {"ref": "maurycypedroza/notebookc881611f7d", "kernel_id": "77990112"}, {"ref": "elikitch/titanic-dataset-hw2-cse-572", "kernel_id": "77813566"}, {"ref": "alexanderriabchinski/titanik-updated", "kernel_id": "77224808"}, {"ref": "pannathatsaeliao/6710210442-6710210454-science-solutions", "kernel_id": "77304650"}, {"ref": "machiren/titanic", "kernel_id": "77241991"}, {"ref": "ashutoshkumar96/ashutosh-kumar", "kernel_id": "77062795"}, {"ref": "andreikhromykh/titanic", "kernel_id": "77039044"}, {"ref": "jacecarruthers/titanic-carruthers", "kernel_id": "77761206"}, {"ref": "gabenederhoff/notebook967941faa1", "kernel_id": "77762562"}, {"ref": "nathankrieger/titanic", "kernel_id": "77690021"}, {"ref": "arimartono/labonetitanicai", "kernel_id": "77358015"}, {"ref": "nickmesserges/notebook168e949096", "kernel_id": "77902244"}, {"ref": "kylenimrick/getting-started-with-titanic", "kernel_id": "77619904"}, {"ref": "keaganwhite/titanic-assignment", "kernel_id": "77620078"}, {"ref": "colinhuntley/titanickaggle", "kernel_id": "77619908"}, {"ref": "graceheeren/titanic-ds201", "kernel_id": "77814789"}, {"ref": "abraramur/notebook-abrar", "kernel_id": "77619918"}, {"ref": "anusreemazumder/notebook814f2f995d", "kernel_id": "77619917"}, {"ref": "benleskauskas/getting-started-with-titanic", "kernel_id": "77618377"}, {"ref": "carsynleistikow/titanic-machine-learning-from-disaster-ds-201", "kernel_id": "77560135"}, {"ref": "deeshadeshmukh/notebook8375791db2", "kernel_id": "77738255"}, {"ref": "elliebranca/titanic-notebook-code", "kernel_id": "77566728"}, {"ref": "caitlinloo/notebook2c7a5e05ec", "kernel_id": "77620401"}, {"ref": "caitlinloo/lab-first-kaggle-titanic-2", "kernel_id": "77754313"}, {"ref": "marleyturk/marley-turk-titanic-machine-learning-lab", "kernel_id": "77997131"}, {"ref": "nsriedl/titanic-notebook", "kernel_id": "77913218"}, {"ref": "kenziehowell/titanic", "kernel_id": "77770055"}, {"ref": "rosebirkner/titanic", "kernel_id": "77688685"}, {"ref": "brookefischer/notebookd2", "kernel_id": "77619429"}, {"ref": "sebasnaranjo215/notebook174cc81a84", "kernel_id": "77620220"}, {"ref": "keatonknous/notebook14894089bc", "kernel_id": "77619898"}, {"ref": "tyleratkinson/titanic", "kernel_id": "77564296"}, {"ref": "dadutotade/titanic-survival-prediction", "kernel_id": "77126295"}, {"ref": "merukumarau/titanic-machine-learning", "kernel_id": "77817479"}, {"ref": "roderichcavine/machine-learning-logistic-lj01-roderich", "kernel_id": "77285266"}, {"ref": "adnankx7/titanic-deep-learning-and-gradientboost-analysis", "kernel_id": "77378851"}, {"ref": "raniabt/my-second-submission", "kernel_id": "77118096"}, {"ref": "imsaddd/logisticregression-steven-2702255810", "kernel_id": "77419191"}, {"ref": "hamidrezabeigi/titanic-classification-with-svm", "kernel_id": "77893377"}, {"ref": "hernicksensatria/2702235235-hernicksensatria-titanic", "kernel_id": "77422090"}, {"ref": "faysalcudi/notebook6bcc552c97", "kernel_id": "77246811"}, {"ref": "sodooe/exercise-arithmetic-and-variables", "kernel_id": "77171604"}, {"ref": "marder2077/titanic-survival-prediction-with-machine-learning", "kernel_id": "77841308"}, {"ref": "danagingrey/titanic-competition-notebook", "kernel_id": "77504401"}, {"ref": "ensari/ensari-titanic", "kernel_id": "77876923"}, {"ref": "leonidkurik/getting-started-with-titanic", "kernel_id": "77099952"}, {"ref": "tatsu00/titanic-story", "kernel_id": "77412166"}, {"ref": "zzoonngk/random-forest-with-lack-dataset", "kernel_id": "77051716"}, {"ref": "lizzyhamann1212/notebook96f9953810", "kernel_id": "77673295"}, {"ref": "damianvtran/local-operator-titanic-survivors-auto-ml", "kernel_id": "77617582"}, {"ref": "haseebcheema01/titanic-machine-learning", "kernel_id": "77259667"}, {"ref": "dexenlarry/exercise-arithmetic-and-variables", "kernel_id": "77967382"}, {"ref": "vikacat/titanic-prediction-truncated", "kernel_id": "77177224"}, {"ref": "chenyihwc/notebookeb52273190", "kernel_id": "77929131"}, {"ref": "hanu258/titanic-survival-a-complete-guide-for-beginners", "kernel_id": "77692039"}, {"ref": "iriswang6666/titanic-data-visualization-and-analysis", "kernel_id": "77306953"}, {"ref": "kayrabirekul/exercise-arithmetic-and-variables", "kernel_id": "77685696"}, {"ref": "melodieclarke/exercise-arithmetic-and-variables", "kernel_id": "77357645"}, {"ref": "chivalrycieux/random-forest", "kernel_id": "77574936"}, {"ref": "umitliguler/umitliguler-titanic-competiton", "kernel_id": "77583553"}, {"ref": "xxgsnbxenon/the-novice-is-on-his-way", "kernel_id": "77528423"}, {"ref": "manuelestavillo/bonus-titanic", "kernel_id": "77418465"}, {"ref": "entropy06/titanic1", "kernel_id": "77571507"}, {"ref": "khalilahkhairudin/titanic-ml-competition", "kernel_id": "77858143"}, {"ref": "ekaterinago/notebook9fa4cc58bd", "kernel_id": "77537700"}, {"ref": "timinsley/homework2-improving-titanic-survival-predictions", "kernel_id": "77557085"}, {"ref": "priyankamadishetty/homework2-priyanka", "kernel_id": "77547735"}, {"ref": "joeymills/hw2joeym", "kernel_id": "77547688"}, {"ref": "alexdswift/titanic-notebook-1-kaggle", "kernel_id": "77560416"}, {"ref": "alexdswift/titanic-kaggle-lab", "kernel_id": "77990009"}, {"ref": "calebmoe/notebook6fbe0bbf14", "kernel_id": "77989921"}, {"ref": "prudvikseemakurthi/data-vis-2", "kernel_id": "77623565"}, {"ref": "prudvikseemakurthi/lab-3", "kernel_id": "77618114"}, {"ref": "haniyehfekrmandi/titanic-notebook-code", "kernel_id": "77614501"}, {"ref": "shambhavishanker99/titanic-prediction", "kernel_id": "77787799"}, {"ref": "graceannellschmitt/getting-started-with-titanic", "kernel_id": "77825557"}, {"ref": "carpediemovo/kaggle-titanic", "kernel_id": "77634690"}, {"ref": "jennapattee/lab-first-kaggle-titanic", "kernel_id": "77899221"}, {"ref": "jennapattee/charts", "kernel_id": "77973544"}, {"ref": "emmakaltman/notebookc2ca224e51", "kernel_id": "77610614"}, {"ref": "alanachanthavong/ds-201-titanic-lab", "kernel_id": "77841554"}, {"ref": "pennysukitjakamin/titanic", "kernel_id": "77619446"}, {"ref": "pritamx10/pritam-t", "kernel_id": "77966114"}, {"ref": "andresrguerra/notebookbaee128d7d", "kernel_id": "77621642"}, {"ref": "litdawn/titanic-homework1", "kernel_id": "77635655"}, {"ref": "dingpeng12345678/2-svm", "kernel_id": "77769345"}, {"ref": "gavingoihl/lab-first-kaggle-titanic-gavin-goihl", "kernel_id": "77756964"}, {"ref": "brandonhart12/part-3-atomic-data-types", "kernel_id": "77877482"}, {"ref": "brandonhart12/lesson-r-arithmetic", "kernel_id": "77761972"}, {"ref": "katherinebriolat/submission-csv", "kernel_id": "77766203"}, {"ref": "abbywhitenack/titanic-abby-whitenack", "kernel_id": "77773790"}, {"ref": "heyizheng/getting-started-with-titanic", "kernel_id": "77794810"}, {"ref": "ty12321yt/titanic", "kernel_id": "77799559"}, {"ref": "autumngraybill/getting-started-with-titanic", "kernel_id": "77821941"}, {"ref": "autumngraybill/version-2-titanic", "kernel_id": "77822742"}, {"ref": "allikemp/lab-first-kaggle-titanic", "kernel_id": "77824777"}, {"ref": "timurlenk7777/titanic-prediction", "kernel_id": "77825450"}, {"ref": "snipery/titanic", "kernel_id": "77884060"}, {"ref": "emanooorr/exercise-arithmetic-and-variables", "kernel_id": "77952792"}, {"ref": "akshpatel05/aksh-mach005", "kernel_id": "77967386"}, {"ref": "isaacume/notebook17fdfe041a", "kernel_id": "77967977"}, {"ref": "johndraa/draatitanic", "kernel_id": "77992584"}, {"ref": "kalelande/titanic-lande", "kernel_id": "77996558"}, {"ref": "user215638/titanicgrissom", "kernel_id": "78868794"}, {"ref": "karank21/kaggle-first-notebook-titanic", "kernel_id": "78236472"}, {"ref": "chang25/titanic-tutorial-damf2", "kernel_id": "78021209"}, {"ref": "fizcogar/intro-ia-3-0-clasificacion-1", "kernel_id": "78299962"}, {"ref": "gazierdogan/data-science-titanic", "kernel_id": "78952183"}, {"ref": "stpeteishii/titanic-simple-lgbm-w-modin", "kernel_id": "78789904"}, {"ref": "anurags397/titanic-82-train-val", "kernel_id": "78812896"}, {"ref": "sercanyesiloz/turkstudentco-kaggle-titanic-project", "kernel_id": "78768551"}, {"ref": "alexandrughiurutan/titanic-tutorial", "kernel_id": "78812552"}, {"ref": "drakendan/survive-the-titanic-eda", "kernel_id": "78227674"}, {"ref": "csmohamedayman/dl-catg-titanic-disaster", "kernel_id": "78514263"}, {"ref": "magiciggle/titanic-dt-classification", "kernel_id": "78878895"}, {"ref": "duncanmaidens/exercise-arithmetic-and-variables", "kernel_id": "78435953"}, {"ref": "shouvikchoudhury/titanic-study-ml", "kernel_id": "78376123"}, {"ref": "thedarshanpatel/titanic-a-complete-tutorial-for-beginners", "kernel_id": "78532892"}, {"ref": "reynardamadeus/ml-exercise-1-using-naive-bayes", "kernel_id": "78354743"}, {"ref": "samithsachidanandan/titanic-kaggle-competition", "kernel_id": "78493887"}, {"ref": "samithsachidanandan/titanic-survival-prediction-eda", "kernel_id": "78517529"}, {"ref": "singhjd/titanic-dataset", "kernel_id": "78974276"}, {"ref": "senfei/notebook1224871025", "kernel_id": "78723210"}, {"ref": "mscjuliocesar/titanic-survivors-predictor", "kernel_id": "78819838"}, {"ref": "paulhengshen/titanic-dataset-analyzed-by-po", "kernel_id": "78173869"}, {"ref": "bryceloui/titanic-hw-502", "kernel_id": "78525893"}, {"ref": "pengr252/titanic2", "kernel_id": "78718986"}, {"ref": "dhruvreddygaddameedi/titanic-survivor-pred", "kernel_id": "78221851"}, {"ref": "yongzhenzhao/titannic", "kernel_id": "78572096"}, {"ref": "danmuendo/titanic-analysis", "kernel_id": "78061030"}, {"ref": "janscarlosflorian/introducci-n-al-titanic", "kernel_id": "78089577"}, {"ref": "serialk/notebookae716b7ca1", "kernel_id": "78942767"}, {"ref": "gokhanmutlu/titanic-xgb-deeplearning-w-keras", "kernel_id": "78254567"}, {"ref": "tejasparse/h2-data-mining", "kernel_id": "78159699"}, {"ref": "mikhailbystrov/ml-hw-24-bystrov-m-a", "kernel_id": "78173214"}, {"ref": "prathamsavaliyambbs/finetuning-mistral7bv2-0", "kernel_id": "78811877"}, {"ref": "hireshprakash/titanic-model-by-hiresh-drakha", "kernel_id": "78879460"}, {"ref": "angelisnguele/titanic-competition", "kernel_id": "78663915"}, {"ref": "hienhoangtrong/titatic", "kernel_id": "78954494"}, {"ref": "piotrpowroznik/titanic-disaster-decision-tree", "kernel_id": "78770418"}, {"ref": "jawadhussainshar/notebookf40180e8f6", "kernel_id": "78822750"}, {"ref": "sabasadaqat/abc-titanic-v01", "kernel_id": "78532141"}, {"ref": "sabasadaqat/ss-titanic-submission-v01", "kernel_id": "78532266"}, {"ref": "adamlangowski/polish-titanic-competition-in-pytorch", "kernel_id": "78696062"}, {"ref": "adamlangowski/polish-deep-learning-from-scratch", "kernel_id": "78529962"}, {"ref": "adamlangowski/polish-linear-model-from-scratch", "kernel_id": "78076397"}, {"ref": "kaushiktalukdar01/titanic-machine-learning-1", "kernel_id": "78859443"}, {"ref": "rawangamalharb/logistic-regression-titanic-dataset", "kernel_id": "78530233"}, {"ref": "akinert/titanic-eda-pre-lr", "kernel_id": "78259498"}, {"ref": "evelyntea/notebooka1242ebf20", "kernel_id": "78571719"}, {"ref": "evelyntea/bigdata2", "kernel_id": "78851980"}, {"ref": "zzfzff/notebook7723c507d4", "kernel_id": "78729429"}, {"ref": "bunyaphonai/titanic", "kernel_id": "78334048"}, {"ref": "eaglebear/titanic-rf", "kernel_id": "78850672"}, {"ref": "eaglebear/from-github", "kernel_id": "78802488"}, {"ref": "shadesh/eda-feature-engineering-model-training-and-subm", "kernel_id": "78826483"}, {"ref": "wbl123/titanic", "kernel_id": "78939906"}, {"ref": "czy9920/titanic-homework2", "kernel_id": "78923339"}, {"ref": "czy9920/titanic-homework1", "kernel_id": "78563126"}, {"ref": "omaralsaadi/titanic-project", "kernel_id": "78255241"}, {"ref": "abdallaellaithy/titanic-survival-prediction-ml-insights-model", "kernel_id": "78910311"}, {"ref": "zhangzijun123/zhangzijun-work1", "kernel_id": "78780162"}, {"ref": "rickyshiii/homework2-titanic", "kernel_id": "78373152"}, {"ref": "danfengyipie/bigdata-homework-1", "kernel_id": "78686920"}, {"ref": "shuvokumarbasak4004/taitanic", "kernel_id": "78245997"}, {"ref": "ahcerzhu233/archer233", "kernel_id": "78522062"}, {"ref": "flickshot555/notebook6fe075108b", "kernel_id": "78175295"}, {"ref": "sheheryarahmad/notebookbcac36474f", "kernel_id": "78771948"}, {"ref": "effffy/notebook8b62711f81", "kernel_id": "78691110"}, {"ref": "yousefzaghloul/testing", "kernel_id": "78461357"}, {"ref": "yiluosjtut/titanic-machine-learning-from-disaster-yl", "kernel_id": "78538470"}, {"ref": "hphuoc/homework1", "kernel_id": "78199954"}, {"ref": "surabhibyju21/titanic-prediction-surabhi", "kernel_id": "78349421"}, {"ref": "costyro/ai-course", "kernel_id": "78385792"}, {"ref": "johnha9/titanic-competition-version-2", "kernel_id": "78570982"}, {"ref": "johnha9/titanic-competition", "kernel_id": "78568938"}, {"ref": "parostulchuloth/logistic-regression", "kernel_id": "78687862"}, {"ref": "arwaibrahim203/submission-csv", "kernel_id": "78865500"}, {"ref": "callmehafez/titanic-competition-for-beginner", "kernel_id": "78704610"}, {"ref": "anthonyappiani/aa-titanic-submission-v01", "kernel_id": "78406113"}, {"ref": "anthonyappiani/aa-titanic-v01", "kernel_id": "78262832"}, {"ref": "ryanli213131/titanic-predictor-project", "kernel_id": "78765880"}, {"ref": "myothein/titanic-machine-learning-from-disaster", "kernel_id": "78637523"}, {"ref": "dinhvudeptrai/titanic", "kernel_id": "78726333"}, {"ref": "nobodyyix/bigdata2-homework-1", "kernel_id": "78819846"}, {"ref": "lvxvitae/notebookebe28454a4", "kernel_id": "78718873"}, {"ref": "abhishekgodara/titanic-eda-lr-dt-rf", "kernel_id": "78394583"}, {"ref": "palvinder2006/titanic-competition-notebook", "kernel_id": "78509890"}, {"ref": "pes1202203872/unet-3d", "kernel_id": "78443578"}, {"ref": "micahdtracy/titanicsurvivalclassification", "kernel_id": "78840995"}, {"ref": "gnkanalytics/titanic-machine-learning-from-disaster", "kernel_id": "78057256"}, {"ref": "roopesh123d/titanic-using-xg-boost", "kernel_id": "78099611"}, {"ref": "dprudhviraj/prudhvi-raj-dasari-titanic", "kernel_id": "78089651"}, {"ref": "dprudhviraj/prudhviraj-titanic-part1", "kernel_id": "78919851"}, {"ref": "arlcord/titanic-on-r", "kernel_id": "78466558"}, {"ref": "danyalabbas1/titanic-notebook", "kernel_id": "78255563"}, {"ref": "kanumuriravivarma99/homework2titanic", "kernel_id": "78532976"}, {"ref": "mateus95/previs-o-com-svm", "kernel_id": "78522952"}, {"ref": "mateus95/titanic-desafio", "kernel_id": "78507961"}, {"ref": "mateus95/previs-o-com-randomforest", "kernel_id": "78518537"}, {"ref": "mihkeljesse/cart-lahendus", "kernel_id": "78432464"}, {"ref": "clarissaad/titanic-naive-bayes", "kernel_id": "78412026"}, {"ref": "zhudawei01/week-6-practice-part-2", "kernel_id": "78499515"}, {"ref": "zhudawei01/week-6-practice-part-1-titanic", "kernel_id": "78494125"}, {"ref": "zhudawei01/week-7-prac-1-titanic", "kernel_id": "78924192"}, {"ref": "zhudawei01/week7-prac-2-spacetitanic", "kernel_id": "78940550"}, {"ref": "melvin098/fastai-lesson-6a-random-forests", "kernel_id": "78936473"}, {"ref": "globalrex/notebook0bc59cde70", "kernel_id": "78043264"}, {"ref": "jasonmelvinhartono/titanic-naivebayes", "kernel_id": "78436765"}, {"ref": "jackshuto/titanic-model", "kernel_id": "78175600"}, {"ref": "astriazhu/cp3501-prac6-task-2", "kernel_id": "78270641"}, {"ref": "astriazhu/cp3501-prac6-task-1", "kernel_id": "78269631"}, {"ref": "astriazhu/cp3501-prac6-task-3-step2", "kernel_id": "78273564"}, {"ref": "astriazhu/cp3501-prac6-task-3-step1", "kernel_id": "78273350"}, {"ref": "astriazhu/cp3501-prac6-task-3-step3-2", "kernel_id": "78277212"}, {"ref": "astriazhu/cp3501-prac6-task-3-step3-1", "kernel_id": "78275043"}, {"ref": "astriazhu/cp3501-prac7-task-1", "kernel_id": "78799005"}, {"ref": "astriazhu/cp3501-prac7-task-2", "kernel_id": "78799838"}, {"ref": "mirzashatuislam/random-forest-classifier-for-titanic-dataset", "kernel_id": "78245317"}, {"ref": "dhakalkrishu/exercise-arithmetic-and-variables", "kernel_id": "78573423"}, {"ref": "atharvasoundankar/titanic-disater-ml", "kernel_id": "78218646"}, {"ref": "sarabelhouari/titanic-prediction", "kernel_id": "78453137"}, {"ref": "aniruddhawankhede/titanic", "kernel_id": "78292146"}, {"ref": "jarends101/ja-titanic-v01", "kernel_id": "78324390"}, {"ref": "jarends101/ja1-titanic-submission", "kernel_id": "78543730"}, {"ref": "kcurry5/cse572-hw2-q1", "kernel_id": "78466939"}, {"ref": "ammar3bkrinoo/titanic-tutorial", "kernel_id": "78336346"}, {"ref": "cherifhaidara/titanic-data", "kernel_id": "78532443"}, {"ref": "vincentthendean/fastai-lesson-5b-use-a-framework", "kernel_id": "78412241"}, {"ref": "vincentthendean/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78410832"}, {"ref": "vincentthendean/fastai-lesson-6a-random-forests", "kernel_id": "78856305"}, {"ref": "vincentthendean/task-2-fastai-lesson-6a-random-forests", "kernel_id": "78857121"}, {"ref": "letianyou/fastai-lesson-5b-use-a-framework", "kernel_id": "78410360"}, {"ref": "letianyou/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78403860"}, {"ref": "samuelfrans/titanic-deeplearning-1", "kernel_id": "78583930"}, {"ref": "rabiaebrardal/titanic", "kernel_id": "78367879"}, {"ref": "miyakokujo/titanic-machine-learning-from-disaster", "kernel_id": "78527288"}, {"ref": "musawirthaha/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78697126"}, {"ref": "musawirthaha/fastai-lesson-5b-use-a-framework", "kernel_id": "78697579"}, {"ref": "suetkei/cp3501-prac7-task1", "kernel_id": "78936718"}, {"ref": "suetkei/cp3501-prac6-task2", "kernel_id": "78499490"}, {"ref": "dexterkwok/fastai-lesson-5b-use-a-framework", "kernel_id": "78403833"}, {"ref": "dexterkwok/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78403368"}, {"ref": "dexterkwok/fastai-lesson-6a-random-forests", "kernel_id": "78848375"}, {"ref": "dexterkwok/fastai-lesson-6a-random-forests-spaceship-titanic", "kernel_id": "78852540"}, {"ref": "shumanbhattarai/titanic-survival-prediction-ml-project", "kernel_id": "78238191"}, {"ref": "gogetto/ml2-lab4", "kernel_id": "78418865"}, {"ref": "darrienisaac/titanicmldisasterproblem", "kernel_id": "78328878"}, {"ref": "kevinsweep/naive-titanic", "kernel_id": "78379190"}, {"ref": "yahyamadyan/titanic2", "kernel_id": "78837606"}, {"ref": "yahyamadyan/titanic-machine-learing", "kernel_id": "78528077"}, {"ref": "nitinsingh2801/notebooke0e3cea7f3", "kernel_id": "78769741"}, {"ref": "jeremyhuang041013/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78659158"}, {"ref": "jeremyhuang041013/fastai-lesson-5b-use-a-framework", "kernel_id": "78659290"}, {"ref": "juelaili/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78344438"}, {"ref": "juelaili/fastai-lesson-5b-use-a-framework", "kernel_id": "78678294"}, {"ref": "chetpotato/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78404011"}, {"ref": "chetpotato/fastai-lesson-6a-random-forests-spaceship-titani", "kernel_id": "78853438"}, {"ref": "chetpotato/fastai-lesson-6a-random-forests", "kernel_id": "78850929"}, {"ref": "ekibi1124/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78405065"}, {"ref": "ekibi1124/fastai-lesson-5b-use-a-framework", "kernel_id": "78405496"}, {"ref": "ekibi1124/fastai-lesson-6a-random-forests", "kernel_id": "78851354"}, {"ref": "aggarwalgavesh25/titanic-competition", "kernel_id": "78696101"}, {"ref": "gaoyyi/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78404506"}, {"ref": "gaoyyi/fastai-lesson-5b-use-a-framework", "kernel_id": "78406117"}, {"ref": "gaoyyi/fastai-lesson-6a-random-forests", "kernel_id": "78851498"}, {"ref": "gaoyyi/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "78851863"}, {"ref": "davidfwli/fastai-lesson-5b-use-a-framework", "kernel_id": "78686460"}, {"ref": "davidfwli/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78686313"}, {"ref": "aarya00/notebook5c71dd0c98", "kernel_id": "78827405"}, {"ref": "annaaa2/anastasia-week7-random-forests", "kernel_id": "78853318"}, {"ref": "annaaa2/anastasia-fastai-lesson-5b", "kernel_id": "78688467"}, {"ref": "annaaa2/anastastasia-fastai-lesson-5", "kernel_id": "78687432"}, {"ref": "ismailyassin256/titanic-survival-prediction-model-0-76-accuracy", "kernel_id": "78457570"}, {"ref": "carlotadelavega/titanic", "kernel_id": "78454305"}, {"ref": "robertositumeang/titanic-dataset-for-machine-learning-practice", "kernel_id": "78132204"}, {"ref": "mindyscharpf/sinkbook", "kernel_id": "78904297"}, {"ref": "valentypo/ml-week-6-steven-valentino-taslim", "kernel_id": "78495367"}, {"ref": "anajkrishna/titanic", "kernel_id": "78281525"}, {"ref": "abduallahfaisal/exercise-arithmetic-and-variables", "kernel_id": "78123906"}, {"ref": "vipulpaswan/titanic-tutorial", "kernel_id": "78164379"}, {"ref": "realterryzhao/titanic", "kernel_id": "78165274"}, {"ref": "tmuanamnh/fastai-lesson-5b-use-a-framework", "kernel_id": "78614676"}, {"ref": "tmuanamnh/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78614481"}, {"ref": "tmuanamnh/fastai-lesson-6a-random-forests", "kernel_id": "78852457"}, {"ref": "tmuanamnh/fork-of-fastai-lesson-6b-random-forests", "kernel_id": "78852950"}, {"ref": "divyabgowda23/titanic-survival-prediction-optimized", "kernel_id": "78165790"}, {"ref": "prakhar231/titanic-81-accuracy-simple-neural-net", "kernel_id": "78686362"}, {"ref": "redonsh/spaceship-redon", "kernel_id": "78939208"}, {"ref": "redonsh/fastai-lesson-6a-random-forests", "kernel_id": "78938405"}, {"ref": "redonsh/fastai-lesson-5b-use-a-framework", "kernel_id": "78495099"}, {"ref": "redonsh/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78494363"}, {"ref": "fizzanawaz/titanic-analysis", "kernel_id": "78449758"}, {"ref": "wilkersilvaribeiro/titanic", "kernel_id": "78774227"}, {"ref": "taylormorabito/gulustan-titanic", "kernel_id": "78991651"}, {"ref": "kcro42/notebook-kf-ml-06", "kernel_id": "78359779"}, {"ref": "lixxxxxxxx/bigdata-homework1-lizhenghao", "kernel_id": "78247265"}, {"ref": "mazharulalam98/my-titanic", "kernel_id": "78183952"}, {"ref": "juliankraus/votingclassifier", "kernel_id": "78193703"}, {"ref": "emilcollu/titanic-competition-prediction-modeling", "kernel_id": "78376517"}, {"ref": "raphaelhanley/titanic-survival-predictions-beginner", "kernel_id": "78240656"}, {"ref": "teaegg013/22222", "kernel_id": "78510906"}, {"ref": "teaegg013/11111", "kernel_id": "78510230"}, {"ref": "yangchen7654321/notebook50aa51bd8b", "kernel_id": "78604711"}, {"ref": "aixuandong/titanic", "kernel_id": "78920714"}, {"ref": "sorenshaw/522024320170-xsw-work1", "kernel_id": "78233346"}, {"ref": "shibdasbhattacharya/exploratory-data-analysis-on-titanic-dataset", "kernel_id": "78765128"}, {"ref": "muneebullahmuneeb/titanic-machine-learning", "kernel_id": "78496871"}, {"ref": "anchor2/titanic", "kernel_id": "78824612"}, {"ref": "alyhany04/titanic-classification-competition", "kernel_id": "78397234"}, {"ref": "ghildiyal123/titanic-survival-model", "kernel_id": "78626443"}, {"ref": "houssemeddineelimam/titanic-machine-learning-by-houssem-elm", "kernel_id": "78746763"}, {"ref": "rayvelg/titanic-naive-bayes", "kernel_id": "78448390"}, {"ref": "rakeshsolanki423/titanic-data", "kernel_id": "78173028"}, {"ref": "roadrashfifa21/titanic-competition", "kernel_id": "78155880"}, {"ref": "gauravdatascientist/notebook3dce695e23", "kernel_id": "78274793"}, {"ref": "sylviaahan/titanic", "kernel_id": "78686562"}, {"ref": "itaybenderski3711/titanic-project-2", "kernel_id": "78319482"}, {"ref": "itaybenderski3711/titanic-project1", "kernel_id": "78318533"}, {"ref": "devrajsaini/titanic-survival", "kernel_id": "78621114"}, {"ref": "evilpotatodog/mytitanic", "kernel_id": "78115720"}, {"ref": "michmach/naive-bayes", "kernel_id": "78409788"}, {"ref": "silauluba/notebook010d874852", "kernel_id": "78674781"}, {"ref": "doniawaelgabal/titanic-eda-ml", "kernel_id": "78537956"}, {"ref": "rajivgaba/titanic-regression-models", "kernel_id": "78443317"}, {"ref": "mridulmayanktripathi/titanic-tutorial", "kernel_id": "78165696"}, {"ref": "tueezelkaya/getting-started-with-titanic", "kernel_id": "78654781"}, {"ref": "ayberkural/titanic-competition-machine-learning-from-disaster", "kernel_id": "78076593"}, {"ref": "dextonjm/titanic-survivor", "kernel_id": "78929853"}, {"ref": "jinwang3/cp3501-prac7-task-2", "kernel_id": "78859478"}, {"ref": "jinwang3/fastai-lesson-6a-random-forests", "kernel_id": "78855506"}, {"ref": "jinwang3/fastai-lesson-5b-use-a-framework", "kernel_id": "78410725"}, {"ref": "jinwang3/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78410139"}, {"ref": "haymanhninaye/fastai-lesson-6a-random-forests-481540", "kernel_id": "78854973"}, {"ref": "haymanhninaye/fastai-lesson-6a-random-forests", "kernel_id": "78854345"}, {"ref": "haymanhninaye/fastai-lesson-5b-use-a-framework", "kernel_id": "78640613"}, {"ref": "haymanhninaye/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78640310"}, {"ref": "saisaingkham/fastai-lesson-5b-use-a-framework", "kernel_id": "78585881"}, {"ref": "jzkx666/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "78857432"}, {"ref": "jzkx666/fastai-lesson-6a-random-forests", "kernel_id": "78856931"}, {"ref": "jzkx666/fastai-lesson-5b-use-a-framework", "kernel_id": "78412381"}, {"ref": "jzkx666/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78411457"}, {"ref": "roy210005/exercise-arithmetic-and-variables", "kernel_id": "78594996"}, {"ref": "yukey001/fastai-lesson-5b-use-a-framework", "kernel_id": "78406147"}, {"ref": "yukey001/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78405713"}, {"ref": "yukey001/fastai-lesson-6a-random-forests", "kernel_id": "78858452"}, {"ref": "yukey001/cp3501-prac7-task-2", "kernel_id": "78859453"}, {"ref": "hsuchiachang1/fastai-lesson-6a-random-forests", "kernel_id": "78856695"}, {"ref": "hsuchiachang1/fastai-lesson-5b-use-a-framework", "kernel_id": "78411488"}, {"ref": "hsuchiachang1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78411382"}, {"ref": "yc6666yu/fastai-lesson-6a-random-forests", "kernel_id": "78852501"}, {"ref": "yc6666yu/cp3501-prac7-task-2", "kernel_id": "78859346"}, {"ref": "yzxycst/fastai-lesson-5b-use-a-framework", "kernel_id": "78666480"}, {"ref": "yzxycst/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78515475"}, {"ref": "venuslu1128/fastai-lesson-6a-random-forests", "kernel_id": "78852247"}, {"ref": "venuslu1128/fastai-lesson-5b-use-a-framework", "kernel_id": "78405167"}, {"ref": "venuslu1128/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78403749"}, {"ref": "banyarsawthit/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78411319"}, {"ref": "banyarsawthit/fastai-lesson-5b-use-a-framework", "kernel_id": "78413842"}, {"ref": "banyarsawthit/fastai-lesson-6a-random-forests", "kernel_id": "78858598"}, {"ref": "banyarsawthit/p7-task2c-of-fastai-lesson-6a-random-forests", "kernel_id": "78882893"}, {"ref": "shicheng114514/fastai-lesson-5b-use-a-framework", "kernel_id": "78614859"}, {"ref": "shicheng114514/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78614614"}, {"ref": "yuanruigao/fastai-lesson-5b-use-a-framework", "kernel_id": "78624443"}, {"ref": "yuanruigao/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78624220"}, {"ref": "mylawang/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78405732"}, {"ref": "mylawang/fastai-lesson-5b-use-a-framework", "kernel_id": "78405854"}, {"ref": "mylawang/fastai-lesson-6a-random-forests-31f788", "kernel_id": "78858431"}, {"ref": "mylawang/fastai-lesson-6a-random-forests", "kernel_id": "78852372"}, {"ref": "tomirisdadamurzayeva/fastai-lesson-6a-random-forests-816d69", "kernel_id": "78856719"}, {"ref": "tomirisdadamurzayeva/fastai-lesson-6a-random-forests", "kernel_id": "78856043"}, {"ref": "tomirisdadamurzayeva/fastai-lesson-5b-use-a-framework", "kernel_id": "78409082"}, {"ref": "tomirisdadamurzayeva/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78408161"}, {"ref": "yilinli09y96/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78406824"}, {"ref": "yilinli09y96/fastai-lesson-5b-use-a-framework", "kernel_id": "78407018"}, {"ref": "yifupu/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78688197"}, {"ref": "yifupu/fastai-lesson-5b-use-a-framework", "kernel_id": "78688498"}, {"ref": "victorkre/fastai-lesson-6a-random-forests", "kernel_id": "78848850"}, {"ref": "victorkre/fork-of-fastai-lesson-6a-random-forests-1d0224", "kernel_id": "78854657"}, {"ref": "victorkre/fastai-lesson-5b-use-a-framework", "kernel_id": "78404066"}, {"ref": "victorkre/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78403864"}, {"ref": "guoyuye/fastai-lesson-6a-random-forests-ae1c9d", "kernel_id": "78856664"}, {"ref": "guoyuye/fastai-lesson-6a-random-forests", "kernel_id": "78852728"}, {"ref": "guoyuye/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78405804"}, {"ref": "guoyuye/fastai-lesson-5b-use-a-framework", "kernel_id": "78406001"}, {"ref": "dimabilets/getting-started-with-titanic", "kernel_id": "78455689"}, {"ref": "mijanrahaman/titanic-randomforestclassifier", "kernel_id": "78871050"}, {"ref": "metulim/titanic-attempt", "kernel_id": "78227554"}, {"ref": "isabellange/titanic-version", "kernel_id": "78010228"}, {"ref": "tywasserman/notebook708147a8d5", "kernel_id": "78083682"}, {"ref": "thomaslee12/notebook13491cd7d7", "kernel_id": "78081769"}, {"ref": "jakeebersole/jake-titanic", "kernel_id": "78060328"}, {"ref": "johnmich26/titanic-ds201", "kernel_id": "78092513"}, {"ref": "lukenazarowski/lukenaz-notebook", "kernel_id": "78091457"}, {"ref": "nharika14/titanic", "kernel_id": "78094612"}, {"ref": "adamczhu/notebook76ea953b8f", "kernel_id": "78085497"}, {"ref": "jackzang/notebookd5c0562649", "kernel_id": "78016362"}, {"ref": "nafisatoushi/w6-t1-fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78496391"}, {"ref": "nafisatoushi/w6-t2-fastai-lesson-5b-use-a-framework", "kernel_id": "78500005"}, {"ref": "nafisatoushi/w7-t1-fastai-lesson-6a-random-forests", "kernel_id": "78936462"}, {"ref": "nafisatoushi/w7-t2-fastai-lesson-6a-random-forests", "kernel_id": "78940029"}, {"ref": "primadebborna/how-random-forests-really-work", "kernel_id": "78952504"}, {"ref": "primadebborna/fastai-lesson-5b-use-a-framework", "kernel_id": "78951668"}, {"ref": "primadebborna/linear-model-and-neural-net-from-scratch", "kernel_id": "78950784"}, {"ref": "nathanpeter2002/cp3501-deeplearning-wk7-1-titanic-ncpeter", "kernel_id": "78934775"}, {"ref": "nathanpeter2002/cp3501-deeplearning-week6-2-prac-ncpeter", "kernel_id": "78499450"}, {"ref": "nathanpeter2002/cp3501-deeplearning-week6-1-ncpeter", "kernel_id": "78494143"}, {"ref": "debajyotideb/deb04", "kernel_id": "78821220"}, {"ref": "minkhantkyawfreddy/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78852895"}, {"ref": "minkhantkyawfreddy/fastai-lesson-5b-use-a-framework", "kernel_id": "78853112"}, {"ref": "zhixingli917/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "78404286"}, {"ref": "zhixingli917/fastai-lesson-5b-use-a-framework", "kernel_id": "78404638"}, {"ref": "laduyanh/ml2-lab4", "kernel_id": "78419955"}, {"ref": "roderichcavine/machine-learning-naive-bayes-lj01-roderich", "kernel_id": "78423830"}, {"ref": "coderkr/titanic-ml-competetion", "kernel_id": "78864718"}, {"ref": "cjit140609/notebookfe0c536f80", "kernel_id": "78522600"}, {"ref": "nguynnl/titanic-project", "kernel_id": "78773485"}, {"ref": "slinkp/lesson-5-why-you-should-use-a-framework", "kernel_id": "78461618"}, {"ref": "slinkp/lesson-5-linear-model-and-neural-net-from-scratch", "kernel_id": "78324124"}, {"ref": "imsaddd/naivebayes-steven-2702255810", "kernel_id": "78616341"}, {"ref": "madishettypriyanka/priyanka-housingprediction", "kernel_id": "78972005"}, {"ref": "hernicksensatria/2702235235-hernicksensatria-titanic-naivebayes", "kernel_id": "78606435"}, {"ref": "jaylagreen/jaylagreen-titanic", "kernel_id": "78458117"}, {"ref": "ifif7if/titanic-machine-learning", "kernel_id": "78229428"}, {"ref": "rajaykumar12/titanic-solution", "kernel_id": "78217628"}, {"ref": "devudilip/getting-started-with-titanic-first-try", "kernel_id": "78959820"}, {"ref": "mariyaantonova89/titanic-comp", "kernel_id": "78879097"}, {"ref": "entropy06/titanic2", "kernel_id": "78548031"}, {"ref": "jmt9454/townsend-titanic", "kernel_id": "78517247"}, {"ref": "benlaird1/laird-gulustan-titanic", "kernel_id": "78382432"}, {"ref": "loganbu/logan-titanic", "kernel_id": "78544629"}, {"ref": "kenangcmn/titanic-eda", "kernel_id": "78092050"}, {"ref": "rakhibhati/titanic-tutorial", "kernel_id": "78164648"}, {"ref": "ranisahu95590/titanic-tutorial", "kernel_id": "78164161"}, {"ref": "shreyalakhmani/titanic-tutorial", "kernel_id": "78165428"}, {"ref": "maggiesunn/hw2-gradient-boosting", "kernel_id": "78796354"}, {"ref": "maggiesunn/hw2-random-forest", "kernel_id": "78792976"}, {"ref": "maggiesunn/hw1-logistic-regression", "kernel_id": "78721972"}, {"ref": "gandhanamh/exercise-arithmetic-and-variables", "kernel_id": "78376350"}, {"ref": "amnakhalid39/exercise-arithmetic-and-variables", "kernel_id": "78097031"}, {"ref": "ranaahmedelmaghraby/titanic-survival-prediction-using-neural-networks", "kernel_id": "78245641"}, {"ref": "shaimaaelfeky/titanic-tutorial", "kernel_id": "78067982"}, {"ref": "loganp2028/notebookd490259de5", "kernel_id": "78090659"}, {"ref": "ceylintelli/titanickaggle-ds", "kernel_id": "78001812"}, {"ref": "fikrifadhilah28/titanic-1", "kernel_id": "78408225"}, {"ref": "joeyclarke/titanicchallenge-2", "kernel_id": "78001195"}, {"ref": "stevenasbarounis/titanic", "kernel_id": "78001060"}, {"ref": "thomasschreyer/notebooke43cb63865", "kernel_id": "78003723"}, {"ref": "cyrusjacob/titanic-mlfd-xgboost", "kernel_id": "78036333"}, {"ref": "ionnnnn/notebook-bd2", "kernel_id": "78117535"}, {"ref": "nathanwilliams24/nathan-williams-ds-lab", "kernel_id": "78069627"}, {"ref": "ethanolderogisu/notebook98ab0fd1e6", "kernel_id": "78078630"}, {"ref": "ivychuziyi/notebook7f34240e3d", "kernel_id": "78080307"}, {"ref": "charlesgivant/titanic", "kernel_id": "78081085"}, {"ref": "charlesgivant/titanic-charts", "kernel_id": "78086339"}, {"ref": "somtripathi/notebook97ea7d7bad", "kernel_id": "78085248"}, {"ref": "henrytang03/titanic-submission", "kernel_id": "78090644"}, {"ref": "lucasjandrich25/notebook3312b0e55f", "kernel_id": "78092299"}, {"ref": "bhumikatandon2114/titanicdisaster", "kernel_id": "78644466"}, {"ref": "windyrain1994/simple-logisticregression", "kernel_id": "78337507"}, {"ref": "esotericdata1/titanic-competition-machine-learning-from-disaster", "kernel_id": "78133225"}, {"ref": "esotericdata1/titanickaggle-ds", "kernel_id": "78133638"}, {"ref": "rawanmahmoud9974u/titanic2", "kernel_id": "78254603"}, {"ref": "sakshisajwan/titanic-tutorial", "kernel_id": "78164243"}, {"ref": "sameerjohri8/titanic-tutorial", "kernel_id": "78164345"}, {"ref": "piyushmishra89/titanic-tutorial", "kernel_id": "78164162"}, {"ref": "ankityadav027/titanic-tutorial", "kernel_id": "78166015"}, {"ref": "mohdfardeensalmani/titanic-tutorial", "kernel_id": "78164265"}, {"ref": "tanishkakumari01/titanic-tutorial", "kernel_id": "78164178"}, {"ref": "tanishkakumari01/titanic-tutorial-5d48bc", "kernel_id": "78164179"}, {"ref": "harshyadav0931/titanic-tutorial", "kernel_id": "78164196"}, {"ref": "alsoanshika/titanic-tutorial", "kernel_id": "78165442"}, {"ref": "mufanguo128/notebook775c5f576e", "kernel_id": "78229795"}, {"ref": "abduulwasay/exercise-arithmetic-and-variables", "kernel_id": "78970751"}, {"ref": "zusman007/titanic", "kernel_id": "78783444"}, {"ref": "ismailyarar1/titanic-submission-notebook", "kernel_id": "78564316"}, {"ref": "ziyangye01/notebook69553b6c1f", "kernel_id": "78283439"}, {"ref": "nosagieero/submission", "kernel_id": "78302732"}, {"ref": "wkegaming/gabriel-titanic", "kernel_id": "78506289"}, {"ref": "davidkip/notebook-repeat", "kernel_id": "78508033"}, {"ref": "eluahv1/673823-practice", "kernel_id": "78505813"}, {"ref": "qqqbai/notebook51213bdae0", "kernel_id": "78747739"}, {"ref": "devikonda/titanic-ml-from-disaster", "kernel_id": "78450236"}, {"ref": "mrymnqvi/exercise-arithmetic-and-variables", "kernel_id": "78570015"}, {"ref": "pennbb/getting-started-with-titanic", "kernel_id": "78445586"}, {"ref": "williamebright/lab3titanic", "kernel_id": "78461088"}, {"ref": "mohamed1896/titanic-2", "kernel_id": "78499646"}, {"ref": "georgekamau14/titanic", "kernel_id": "78506123"}, {"ref": "victornyingimuchiri/titanic", "kernel_id": "78504852"}, {"ref": "jesseokumu/titanic", "kernel_id": "78569350"}, {"ref": "chenyaru1/hw1-titanic", "kernel_id": "78512066"}, {"ref": "chenyaru1/notebooka2e31b774f", "kernel_id": "78516846"}, {"ref": "rajathiagaraj/exercise-arithmetic-and-variables", "kernel_id": "78692532"}, {"ref": "observer4444/titanic-prediction-ml", "kernel_id": "78545293"}, {"ref": "observer4444/titanic", "kernel_id": "78568384"}, {"ref": "liuchengjienju/bigdata-work1", "kernel_id": "78567552"}, {"ref": "yjxtulip/bigdata-hw1", "kernel_id": "78610155"}, {"ref": "zrx238/zrx-bigdata-work01", "kernel_id": "78611524"}, {"ref": "wh0142/zhaoninghui", "kernel_id": "78608061"}, {"ref": "hehaoda/titanic-ml-hw", "kernel_id": "78688839"}, {"ref": "nataliatw/exercise-arithmetic-and-variables", "kernel_id": "78649991"}, {"ref": "claytonritchey/in-which-we-predict-survival", "kernel_id": "78973809"}, {"ref": "eureka907/bigdata-hw1", "kernel_id": "78664054"}, {"ref": "yaotianxiang/homework01-titanic", "kernel_id": "78688434"}, {"ref": "goseesunrise/titanic-edit-1-0", "kernel_id": "78853491"}, {"ref": "pipi922/titanic-yc", "kernel_id": "78714345"}, {"ref": "somethingandone/kaggle", "kernel_id": "78687531"}, {"ref": "cangrongxin/notebookc692fed0af", "kernel_id": "78690444"}, {"ref": "harexx/502024320017", "kernel_id": "78729390"}, {"ref": "zhoujunhui7/big-data-assignment-1", "kernel_id": "78744742"}, {"ref": "rubenvisionary/exercise-arithmetic-and-variables", "kernel_id": "78906724"}, {"ref": "rubenvisionary/getting-started-with-titanic", "kernel_id": "78907845"}, {"ref": "zhanruofeng/notebook1-zhanruofeng", "kernel_id": "78752831"}, {"ref": "csbrdw/notebookc0a6c23f0a", "kernel_id": "78781573"}, {"ref": "chenjunnju/nju-bigdata-homework1-522024320015", "kernel_id": "78818693"}, {"ref": "yasminemeriem12/titanic-prediction", "kernel_id": "78822652"}, {"ref": "suhanikaranjawala/a-sinking-attempt", "kernel_id": "78843826"}, {"ref": "traaaariad/triad-bigdata2", "kernel_id": "78887048"}, {"ref": "traaaariad/triad-bigdata1", "kernel_id": "78889215"}, {"ref": "doomgraham/homework1", "kernel_id": "78922748"}, {"ref": "snarktox/notebooktitanic", "kernel_id": "78936859"}, {"ref": "suixingshi/522024320126-titanic", "kernel_id": "78952452"}, {"ref": "jmartenstein/simple-decision-tree-lb-top-20", "kernel_id": "79527192"}, {"ref": "jayhawk1900/kaggle-titanic-demo", "kernel_id": "79576846"}, {"ref": "xiefei/impact-of-dropout", "kernel_id": "79281597"}, {"ref": "debisree/titanic-machine-learning-from-disaster", "kernel_id": "79448669"}, {"ref": "ofyalcin/fork-of-logisticregression-with-regularization", "kernel_id": "79859742"}, {"ref": "ofyalcin/logisticregression-with-regularization", "kernel_id": "79320770"}, {"ref": "mlsputnik/titanic-competion-for-beginners-ru", "kernel_id": "79415247"}, {"ref": "fizcogar/intro-ia-3-0-clasificacion-4", "kernel_id": "79219979"}, {"ref": "fizcogar/intro-ia-3-0-clasificacion-3", "kernel_id": "79274194"}, {"ref": "samlin1974/myfirst-randomforestclassifier", "kernel_id": "79656949"}, {"ref": "moipa123/notebookc5b0d1f6a3", "kernel_id": "79190621"}, {"ref": "ngothiendat/logisticregression-pipeline-basic", "kernel_id": "79253763"}, {"ref": "ngothiendat/titanic-pipeline-logisticregression-pos-analysis-1", "kernel_id": "79866882"}, {"ref": "ngothiendat/titanic-pipeline-logisticregression-improved", "kernel_id": "79759064"}, {"ref": "alexandrughiurutan/titanic-dataframe", "kernel_id": "79820754"}, {"ref": "alexandrughiurutan/kaggle-tutorial-new", "kernel_id": "79308126"}, {"ref": "rtiruvallur/notebooke9a91455aa", "kernel_id": "79532058"}, {"ref": "harnoorkaur/titanicsurvival", "kernel_id": "79668202"}, {"ref": "agoyal1008/ensemble-learning-techniques-tutorial", "kernel_id": "79302565"}, {"ref": "satyanarayana6/dmhw2", "kernel_id": "79592315"}, {"ref": "imbatjd/notebook77f2326f87", "kernel_id": "79609552"}, {"ref": "samithsachidanandan/titanic-survival-classification", "kernel_id": "79098715"}, {"ref": "zacktobin/notebookb67b846442", "kernel_id": "79376044"}, {"ref": "vibhorkhar/titanic-example-of-prediction-modeling", "kernel_id": "79459358"}, {"ref": "parinthonpuksuriwong/titanic-w-random-forest-classifier", "kernel_id": "79318046"}, {"ref": "pengr252/notebook1e12d68fa2", "kernel_id": "79217649"}, {"ref": "yongzhenzhao/titannic2", "kernel_id": "79007644"}, {"ref": "wbw2333/big-data-work-1", "kernel_id": "79004197"}, {"ref": "raffareyhan/getting-started-with-titanic", "kernel_id": "79539191"}, {"ref": "kuldeepjangra/notebookc1694d0e53", "kernel_id": "79894176"}, {"ref": "yemi10703/feature-scaling-using-titanic-dataset", "kernel_id": "79322088"}, {"ref": "progrkj/titanic-rf-classifier", "kernel_id": "79210807"}, {"ref": "lauraniewulis/titanic-01", "kernel_id": "79170423"}, {"ref": "nazlzen/titaniccabin", "kernel_id": "79171856"}, {"ref": "davidnorthey/dn-titanic-data", "kernel_id": "79141446"}, {"ref": "tejasparse/hw2-data-mining", "kernel_id": "79633857"}, {"ref": "prathibimbadh/exercise-arithmetic-and-variables", "kernel_id": "79768030"}, {"ref": "gnogtex/titanic-competition-revisited", "kernel_id": "79374686"}, {"ref": "wuweixi/notebook37b38894d7", "kernel_id": "79037945"}, {"ref": "wuweixi/notebookbf88f00f49", "kernel_id": "79036520"}, {"ref": "prudvirajum/titanic-first-notebook", "kernel_id": "79189357"}, {"ref": "hurry11/hurui-hw1", "kernel_id": "79406134"}, {"ref": "ephydempsey/getting-started-with-titanic", "kernel_id": "79242694"}, {"ref": "kimteaminaa/titanic-machine-learning-from-disaster", "kernel_id": "79193436"}, {"ref": "zyinnju/zy522024320226-svm", "kernel_id": "79031197"}, {"ref": "ai052gkrishnaveni/ml-lab-practice", "kernel_id": "79374709"}, {"ref": "mumbiez/notebookdb091e4abd", "kernel_id": "79572662"}, {"ref": "nishantjha0191/notebookfd516a29ae", "kernel_id": "79075055"}, {"ref": "singlahemant/titanic-model", "kernel_id": "79145145"}, {"ref": "puneetwalia18/pdl-dt", "kernel_id": "79928338"}, {"ref": "scholasticamemusi/notebooka582b291c5", "kernel_id": "79676105"}, {"ref": "adamlangowski/polish-titanic-competition-random-forest", "kernel_id": "79326558"}, {"ref": "guozhaonan/bigdata-work", "kernel_id": "79281996"}, {"ref": "carolinglunarscave/notebook-for-kaggle-bigdata", "kernel_id": "79513754"}, {"ref": "zcoder0201/titanic-dataanalysis-and-build-model", "kernel_id": "79999400"}, {"ref": "peymanradmanesh/titanic-survival-prediction-a-clean-pro-level", "kernel_id": "79448093"}, {"ref": "peymanradmanesh/titanic-survival-prediction-lightgbm-eda", "kernel_id": "79315113"}, {"ref": "wow2049/notebookfff1325166", "kernel_id": "79424566"}, {"ref": "streamsong/bigdata-hw2", "kernel_id": "79872810"}, {"ref": "zaynge/assignment-2", "kernel_id": "79035931"}, {"ref": "axeldarrens/starting-with-titanic", "kernel_id": "79696188"}, {"ref": "cristobalalexandro/exercise-arithmetic-and-variables", "kernel_id": "79583627"}, {"ref": "resimator/exploratory-data-analysis-on-the-titanic-dataset", "kernel_id": "79105691"}, {"ref": "stelydata/notebook7333df770d", "kernel_id": "79211948"}, {"ref": "elieli94/unsinkable-ai-lr-dt-rf-svm-gb-xgboost", "kernel_id": "79833545"}, {"ref": "bakituner/kaggle", "kernel_id": "79483995"}, {"ref": "zerinabesic/titanic", "kernel_id": "79024236"}, {"ref": "raheba/titanic-submission", "kernel_id": "79690677"}, {"ref": "goldenbob/notebook5ba1490eb0", "kernel_id": "79154966"}, {"ref": "felipemartinspedrosa/titanic-survival-neural-networks", "kernel_id": "79403123"}, {"ref": "tigerhunt35/getting-started-with-titanic", "kernel_id": "79487302"}, {"ref": "cibeleduarte/titanic-survival-pred", "kernel_id": "79578531"}, {"ref": "priyanshupadhi/titanic-predictions-s040", "kernel_id": "79737388"}, {"ref": "ankush0511/titanic-tutorial", "kernel_id": "79627581"}, {"ref": "ardabaranbaytar/titanic-survival-prediction-random-forest-and-gri", "kernel_id": "79693621"}, {"ref": "abishekhkumar/titanic-machine-learning-from-disaster", "kernel_id": "79821857"}, {"ref": "rakotondrasoaherison/titanic", "kernel_id": "79291312"}, {"ref": "alimdemir/titanic-dataset-analysis", "kernel_id": "79211088"}, {"ref": "fatihsar/lab-uygulama-2", "kernel_id": "79210851"}, {"ref": "mervealolu/makine-renmesi-labaratuvar-al-mas", "kernel_id": "79211836"}, {"ref": "reyyanervagkkaya/notebook91821fd76e", "kernel_id": "79214453"}, {"ref": "melvin098/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "79421880"}, {"ref": "melvin098/fastai-lesson-5b-use-a-framework", "kernel_id": "79422049"}, {"ref": "alexanderpratama/titanic-competition", "kernel_id": "79104703"}, {"ref": "zuuuuuuu/titanic", "kernel_id": "79142016"}, {"ref": "hritikshukla007/titanic-2-0", "kernel_id": "79435196"}, {"ref": "shilpashreecm/notebook9aaa7264e9", "kernel_id": "79571329"}, {"ref": "letianyou/fastai-lesson-6a-random-forests-aa1141", "kernel_id": "79152805"}, {"ref": "letianyou/fastai-lesson-6a-random-forests", "kernel_id": "79151695"}, {"ref": "shahrzadnosrat/titanic-tutorial", "kernel_id": "79019199"}, {"ref": "harisattique/getting-started-with-titanic", "kernel_id": "79078058"}, {"ref": "harmeetsinghchopra/titanic-tutorial", "kernel_id": "79072488"}, {"ref": "nonamerishi/titanic-analysis-with-feature-engineering", "kernel_id": "79366898"}, {"ref": "wadielrahman/exercise-arithmetic-and-variables", "kernel_id": "79063265"}, {"ref": "beraterolelk/titanic-workshop", "kernel_id": "79118319"}, {"ref": "seifelmyzaien/titanic-project-with-random-forest", "kernel_id": "79846043"}, {"ref": "jeremyhuang041013/fastai-lesson-6a-random-forests", "kernel_id": "79132238"}, {"ref": "jeremyhuang041013/cp3501-prac7-task-2", "kernel_id": "79132467"}, {"ref": "juelaili/fastai-lesson-6a-random-forests", "kernel_id": "79132779"}, {"ref": "juelaili/cp3501-prac7-task-2", "kernel_id": "79133083"}, {"ref": "davidfwli/fastai-lesson-6a-random-forests", "kernel_id": "79132624"}, {"ref": "davidfwli/cp3501-prac7-task-2", "kernel_id": "79132909"}, {"ref": "anvesharohatgi/titanic", "kernel_id": "79544980"}, {"ref": "phiduyanh/titanic-tree-ensembles-logistic-regression", "kernel_id": "79158921"}, {"ref": "annaaa2/fork-of-anastasia-week7-2-spaceship-titantic", "kernel_id": "79141410"}, {"ref": "nikitamanaenkov/custom-decision-tree-titanic", "kernel_id": "79584648"}, {"ref": "samuel0930/dalab-study-titanic", "kernel_id": "79613886"}, {"ref": "allenfisheryalunyu/notebook96387f5f3b", "kernel_id": "79004671"}, {"ref": "mauriciocasarotto/ag-honl-ch3-ex3", "kernel_id": "79036131"}, {"ref": "prantadhar/522024320126-titanic", "kernel_id": "79163958"}, {"ref": "bahadirbor/titanic-survival-prediction-neural-network-model", "kernel_id": "79227898"}, {"ref": "mohamedshoaib25/titanic-tutorial", "kernel_id": "79161725"}, {"ref": "alifattahi2000/titanicsurvivoranalysis", "kernel_id": "79631336"}, {"ref": "damiroan/titanic-baseline-comparison-of-7-models", "kernel_id": "79871389"}, {"ref": "damiroan/titanic-knn", "kernel_id": "79795507"}, {"ref": "azrilfahmiardi/titanic-logistic-regression", "kernel_id": "79623687"}, {"ref": "juliankraus/kneighbors", "kernel_id": "79438380"}, {"ref": "juliankraus/adaboost", "kernel_id": "79430054"}, {"ref": "ankitankushe/titanic-competition", "kernel_id": "79486773"}, {"ref": "zaina1224/getting-started-with-titanic", "kernel_id": "79070154"}, {"ref": "anoopbabuasu/notebook69c6302c5a", "kernel_id": "79627663"}, {"ref": "bhavyabhardwaj08/newtitanicnb", "kernel_id": "79113629"}, {"ref": "sjain600/titanic-survival-predictions-using-ensemble-model", "kernel_id": "79012029"}, {"ref": "yaquiramos/titanic-tutorial-yaqui", "kernel_id": "79647468"}, {"ref": "dreambybed/notebook47adeef234", "kernel_id": "79258159"}, {"ref": "maityritwik/titanic-survival-prediction-eda-ml", "kernel_id": "79276640"}, {"ref": "mywang819/notebookbe438967a7", "kernel_id": "79298645"}, {"ref": "minglu121/notebook452bcae02a", "kernel_id": "79095319"}, {"ref": "jjunchen/notebookf03c41d219", "kernel_id": "79553038"}, {"ref": "samanthazhang666/rf-78-708", "kernel_id": "79579827"}, {"ref": "ivvvvvvvvvy1/tatanic-ivy-s-prediction", "kernel_id": "79156770"}, {"ref": "suyaoting/notebook-0322", "kernel_id": "79093389"}, {"ref": "suyaoting/notebook-0322v2", "kernel_id": "79097383"}, {"ref": "saransridathuppala/saran-sri-dath-uppala-hw2", "kernel_id": "79577020"}, {"ref": "devrajsaini/titanic-using-bagging", "kernel_id": "79993830"}, {"ref": "bitumen/notebook3435988414", "kernel_id": "79419453"}, {"ref": "zzjomy/titanic", "kernel_id": "79423537"}, {"ref": "kekwy27/work1", "kernel_id": "79190945"}, {"ref": "anmolsinghchhabra/titanicdataset-centrallimittheorem-on-farecolumn", "kernel_id": "79382340"}, {"ref": "anmolsinghchhabra/titanicdataset-tprocedure", "kernel_id": "79700963"}, {"ref": "jiangsiying/bigdata1-jiangsiying", "kernel_id": "79148435"}, {"ref": "yasirkaloi/titanic-eda-model-building", "kernel_id": "79493897"}, {"ref": "xefea137/5-linear-model-and-neural-net-from-scratch", "kernel_id": "79207591"}, {"ref": "xefea137/5-why-you-should-use-a-framework", "kernel_id": "79291147"}, {"ref": "xefea137/5-how-random-forests-really-work", "kernel_id": "79351672"}, {"ref": "harpreetkaur297/titanic-survival-prediction-using-scikit-learn", "kernel_id": "79771739"}, {"ref": "testlab2000/notebooke920fa7950", "kernel_id": "79921240"}, {"ref": "haymanhninaye/fastai-lesson-6a-random-forests-b66d42", "kernel_id": "79144977"}, {"ref": "saisaingkham/fastai-lesson-6a-random-forests", "kernel_id": "79152808"}, {"ref": "yzxycst/fastai-lesson-6a-random-forests", "kernel_id": "79139829"}, {"ref": "yzxycst/fork-of-fastai-lesson-6a-random-forests-b85a5f", "kernel_id": "79163846"}, {"ref": "shicheng114514/fastai-lesson-6a-random-forests", "kernel_id": "79010830"}, {"ref": "shicheng114514/cp3501-prac7-task-2", "kernel_id": "79011098"}, {"ref": "yuanruigao/fastai-lesson-6a-random-forests", "kernel_id": "79131849"}, {"ref": "yuanruigao/cp3501-prac7-task-2", "kernel_id": "79132033"}, {"ref": "sanemcoskun/titanic-data-analysis", "kernel_id": "79446697"}, {"ref": "yifupu/fastai-lesson-6a-random-forests", "kernel_id": "79135721"}, {"ref": "shinhyeonseo333/notebook89ff533142", "kernel_id": "79383815"}, {"ref": "yegnayzhassyn/solution-to-titatic-problem", "kernel_id": "79210384"}, {"ref": "victorkre/notebooka78bd38ca5", "kernel_id": "79117800"}, {"ref": "marwanyasserhassan/titanic-tutorial", "kernel_id": "79924859"}, {"ref": "kwangminjung/titanic-ml-xgboost-ensemble", "kernel_id": "79386391"}, {"ref": "primadebborna/fastai-lesson-6a-random-forests", "kernel_id": "79435541"}, {"ref": "debajyotideb/debo5", "kernel_id": "79314284"}, {"ref": "zhixingli917/fastai-lesson-6a-random-forests", "kernel_id": "79015562"}, {"ref": "zhixingli917/cp3501-prac7-task-2", "kernel_id": "79015776"}, {"ref": "saideepm/notebook0c95cc3d77", "kernel_id": "79645992"}, {"ref": "gianlucarapaglia/building-an-ml-pipeline-titanic", "kernel_id": "79846868"}, {"ref": "ennamb/adventure-titanic-1-initial-eda-and-base-model", "kernel_id": "79257947"}, {"ref": "nishant0753/notebookbdfb548f93", "kernel_id": "79139070"}, {"ref": "slinkp/how-random-forests-really-work", "kernel_id": "79229476"}, {"ref": "feliciamengni/titanic-prediciton", "kernel_id": "79185559"}, {"ref": "saikalbatyrbekova/titanic-saikal-batyrbekova", "kernel_id": "79547238"}, {"ref": "argenazanov/titanic-azarft", "kernel_id": "79683073"}, {"ref": "dszhuk/fork-of-getting-started-with-titanic", "kernel_id": "79933891"}, {"ref": "sandeep6shukla/sandeep-getting-started-with-ml-titanic-data", "kernel_id": "79231230"}, {"ref": "zhasminiusupova/titanic-submission", "kernel_id": "79547783"}, {"ref": "timinsley/titanic-with-pca", "kernel_id": "79318189"}, {"ref": "leslieaguilarpiedra/leslie-aguilarpiedrapca-titanic", "kernel_id": "79439401"}, {"ref": "joeymills/joeymillslab4part2", "kernel_id": "79476418"}, {"ref": "litdawn/titanic-homework2", "kernel_id": "79150002"}, {"ref": "des0116/notebook3d64e1de02", "kernel_id": "79025147"}, {"ref": "mehrankhani/titanic-survival-prediction-a-beginner-s-journey", "kernel_id": "79897722"}, {"ref": "collinsthomas/titanic-survival-classifier", "kernel_id": "79958634"}, {"ref": "heyizheng/titanicheyizheng", "kernel_id": "79217260"}, {"ref": "jh92yacha/real-final", "kernel_id": "79273840"}, {"ref": "prakharsharma0/titanic-machine-learning-from-disaster", "kernel_id": "79438802"}, {"ref": "mufanguo128/titantic-homework", "kernel_id": "79079402"}, {"ref": "sstashenko/notebook637195c943", "kernel_id": "79238089"}, {"ref": "handsomezhao3022/titanic-try-2", "kernel_id": "79553450"}, {"ref": "liuchengjienju/bigdata-work2", "kernel_id": "79558087"}, {"ref": "zeyuanbao/hw2-titanic", "kernel_id": "79979250"}, {"ref": "anandpi/titanic-survival-prediction-using-scikit-learn", "kernel_id": "79250159"}, {"ref": "tianmasikong/notebook8d114fdad7", "kernel_id": "79614920"}, {"ref": "tianmasikong/notebook7d4dea6e8a", "kernel_id": "79758976"}, {"ref": "yjxtulip/bigdata-hw-2", "kernel_id": "79493476"}, {"ref": "tc1017/notebook589d55c5c6", "kernel_id": "79576485"}, {"ref": "grkemkargal/titanic-project-eda-kargalgorkem", "kernel_id": "79619953"}, {"ref": "cristiansdrojek/regresi-n-log-stica-de-titanic-desde-cero", "kernel_id": "79122789"}, {"ref": "huangbaojun/huangbaojun-bigdata-lab1-notebook", "kernel_id": "79021233"}, {"ref": "sunsetstand/2300011757-titanic", "kernel_id": "79618540"}, {"ref": "yanzhangcheng/yzc-titanic-v4", "kernel_id": "79557728"}, {"ref": "warmsunshine/notebookc34ef9150a", "kernel_id": "79187140"}, {"ref": "sv526ne4qwjuf/notebooke984da3b43", "kernel_id": "79554037"}, {"ref": "lewywang/notebook87b50dd1f6", "kernel_id": "79043838"}, {"ref": "lewywang/notebookced8942077", "kernel_id": "79042748"}, {"ref": "shiveshkumarmishra/titanic-tutorial", "kernel_id": "79072785"}, {"ref": "princemorya/titanic-tutorial", "kernel_id": "79072790"}, {"ref": "hmanshutomer02/titanic-tutorial", "kernel_id": "79074152"}, {"ref": "oxygenchen/notebook6f6b24fbd1", "kernel_id": "79076867"}, {"ref": "fffffriday/notebook2a9730ce3f", "kernel_id": "79082481"}, {"ref": "why124/kaggle", "kernel_id": "79142268"}, {"ref": "liuwenlei/notebook51559046c2", "kernel_id": "79139371"}, {"ref": "p2p2p2p2p/notebook05067def26", "kernel_id": "79141085"}, {"ref": "njuse52/titanic-random-forest", "kernel_id": "79142044"}, {"ref": "meharshadchavan/exercise-arithmetic-and-variables", "kernel_id": "79236357"}, {"ref": "jessicadilks/jd-titanic", "kernel_id": "79246386"}, {"ref": "zexuyan/522024320179", "kernel_id": "79185652"}, {"ref": "snowdance/notebook3b77c66fb8", "kernel_id": "79554329"}, {"ref": "ech033/notebook0bf8ae6bd6", "kernel_id": "79217203"}, {"ref": "ysh1015/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "79221149"}, {"ref": "alanjonesnyydnn/notebook8ccab87969", "kernel_id": "79226266"}, {"ref": "hairina/titanic", "kernel_id": "79229325"}, {"ref": "jathindarsi/exercise-arithmetic-and-variables", "kernel_id": "79462224"}, {"ref": "xiazhijian/titannic-v1-8-11-multi-model", "kernel_id": "79490508"}, {"ref": "xiazhijian/titanic-cat", "kernel_id": "79814451"}, {"ref": "xiazhijian/titanic-xgboost", "kernel_id": "79817800"}, {"ref": "zhanges/notebook3ec2f306d7", "kernel_id": "79297829"}, {"ref": "juncai152020/titanic", "kernel_id": "79405424"}, {"ref": "echouuid/notebook7cab72afff", "kernel_id": "79455882"}, {"ref": "stemitz/titanic-ml-project", "kernel_id": "79467754"}, {"ref": "xichenlin/linxichen", "kernel_id": "79504673"}, {"ref": "jiazixiao/502024320005", "kernel_id": "79512338"}, {"ref": "jadavgajanand/getting-started-with-titanic", "kernel_id": "79620070"}, {"ref": "ramayah/titanic-data", "kernel_id": "79620885"}, {"ref": "tanujagudiankana/titanic-competition-done", "kernel_id": "79736790"}, {"ref": "mkhali/moh-khaled", "kernel_id": "79640831"}, {"ref": "rukhsarjamali/exercise-arithmetic-and-variables", "kernel_id": "79691023"}, {"ref": "a1ien666/notebooka4da7c94c1", "kernel_id": "79604157"}, {"ref": "dark2510vignesh/day-2document-q-a-with-rag", "kernel_id": "79784369"}, {"ref": "ramunesoda/py310-python-kaggle-start-book-ch02-01", "kernel_id": "79604775"}, {"ref": "amitthakur2602/exercise-arithmetic-and-variables", "kernel_id": "79765352"}, {"ref": "ahha11/getting-started-with-titanic", "kernel_id": "79707454"}, {"ref": "metawave/metawave-titanic-survival-prediction-challenge", "kernel_id": "79695954"}, {"ref": "supravobiswas/getting-started-with-titanic", "kernel_id": "79784937"}, {"ref": "tebogomoshe/exercise-arithmetic-and-variables", "kernel_id": "79731981"}, {"ref": "mohsenazizyrad/exercise-arithmetic-and-variables", "kernel_id": "79877988"}, {"ref": "rishiraj748/exercise-arithmetic-and-variables", "kernel_id": "79858999"}, {"ref": "mardiyyahqosim/exercise-arithmetic-and-variables", "kernel_id": "79893943"}, {"ref": "valya000/titanic", "kernel_id": "79990813"}, {"ref": "mohddanish8527/exercise-arithmetic-and-variables", "kernel_id": "79977270"}, {"ref": "jeesoo219/titanic-250414", "kernel_id": "80838183"}, {"ref": "milcarh/titanic-base", "kernel_id": "80327660"}, {"ref": "abirsaha123456/notebook0360134ac0", "kernel_id": "80322845"}, {"ref": "shashanksrajak/learning-from-titanic-survival-rate-data", "kernel_id": "80405763"}, {"ref": "ekabuyunglienadi/kaggle-titanic-pipeline", "kernel_id": "80008148"}, {"ref": "hoanghaidaiduong/notebook-titanic-version-1", "kernel_id": "80598128"}, {"ref": "dilekpinarakyol/titanic-analysis-dilek-akyol", "kernel_id": "80490384"}, {"ref": "takaito/titanic-baseline-notebook", "kernel_id": "80487833"}, {"ref": "mridhulsharma/titanic-mri-comp", "kernel_id": "80822195"}, {"ref": "sudarshansahane/titanic-prediction", "kernel_id": "80401538"}, {"ref": "jeonghyunsong/titanic-survival-prediction-with-rf", "kernel_id": "80800543"}, {"ref": "anastasiskafetz/titanic-notebook", "kernel_id": "80849236"}, {"ref": "winymosquedadavila/titanic-base", "kernel_id": "80250974"}, {"ref": "ritamahato/notebookcaf441332b", "kernel_id": "80625110"}, {"ref": "rishabhbhartiya/notebook-beginner-guide-titanic", "kernel_id": "80127607"}, {"ref": "juanmontreuil/titanic-base", "kernel_id": "80250480"}, {"ref": "eveneverlands/titanic", "kernel_id": "80038756"}, {"ref": "badarchenhchimeg/re-skilling-1", "kernel_id": "80574680"}, {"ref": "anushkajoshii/titanic-disaster-prediction", "kernel_id": "80477957"}, {"ref": "ridamansour/titanic-survivors-classification", "kernel_id": "80900119"}, {"ref": "ningning0202/notebook4c9fbc3889", "kernel_id": "80225119"}, {"ref": "ningning0202/notebook6a997a9633", "kernel_id": "80074449"}, {"ref": "zeynepnurrr/learning-python", "kernel_id": "80307991"}, {"ref": "rlakshminarayanan/automl-prediction-on-survivors", "kernel_id": "80818455"}, {"ref": "raybhusha/titanic-case-study", "kernel_id": "80356435"}, {"ref": "mauryneto/titanic-prediction", "kernel_id": "80050733"}, {"ref": "xhy1907/worksec", "kernel_id": "80493356"}, {"ref": "marbin/titanic-survivors-w-random-forests", "kernel_id": "80078637"}, {"ref": "wahyuardhitama/task001-p01-ml-titanic-20250407", "kernel_id": "80346862"}, {"ref": "hayatpacquette/titanic-hw10", "kernel_id": "80542231"}, {"ref": "naveedali86/titanic-competition", "kernel_id": "80854864"}, {"ref": "cloudy1225/notebook1910013353", "kernel_id": "80752135"}, {"ref": "dhruvbavaliya/prediction-of-titanic-competition", "kernel_id": "80076897"}, {"ref": "lejontajones/notebook282b575953", "kernel_id": "80675940"}, {"ref": "shangrulitj/notebook1f719ef647", "kernel_id": "80818571"}, {"ref": "wywxys/titanic-nju-work2", "kernel_id": "80752386"}, {"ref": "kimjunseung/titanicexample", "kernel_id": "80832941"}, {"ref": "han517/hw-2-for-big-data", "kernel_id": "80977431"}, {"ref": "ugly2333/notebook10e2324a77", "kernel_id": "80511475"}, {"ref": "raoofagh/titanic-kaggle", "kernel_id": "80729979"}, {"ref": "rolaalmallah/gen-ai-capstone-project", "kernel_id": "80190861"}, {"ref": "abdelrahmanelshe1kh/survival-or-death", "kernel_id": "80286951"}, {"ref": "jmhasan7/titanic-disaster", "kernel_id": "80169846"}, {"ref": "furkanbt/titanic-exploratory-data-analysis", "kernel_id": "80704985"}, {"ref": "qamarmath/titanic-survival-prediction-with-bayesian-hyperpar", "kernel_id": "80648262"}, {"ref": "ashutoshrathor/titanic-tutorial", "kernel_id": "80277551"}, {"ref": "kaartikarya/titanic-machine-learning-from-disaster", "kernel_id": "80700465"}, {"ref": "cgrymn/cugri-titanik", "kernel_id": "80367054"}, {"ref": "abrars2/titanic-prediction-gradio-interface", "kernel_id": "80480768"}, {"ref": "myash21/notebook-2", "kernel_id": "80127246"}, {"ref": "myash21/starter-notebook", "kernel_id": "80075900"}, {"ref": "milan012/titanic-survival-predictions", "kernel_id": "80373481"}, {"ref": "cybersoulja/exercise-arithmetic-and-variables", "kernel_id": "80263490"}, {"ref": "deepak4156456/titanic-machine-learning-from-disaste", "kernel_id": "80766631"}, {"ref": "muhammdfarman/titanic-data", "kernel_id": "80970502"}, {"ref": "aryamanvaishya/titanices", "kernel_id": "80429553"}, {"ref": "rafaelwhoa/notebookaaf3860abb", "kernel_id": "80746379"}, {"ref": "kuanyshoteu/titanic-fill-in-the-gaps", "kernel_id": "80840468"}, {"ref": "hannadavis/getting-started-with-titanic", "kernel_id": "80679875"}, {"ref": "mariiakadyrova/exercise-arithmetic-and-variables", "kernel_id": "80079688"}, {"ref": "uulkelsinmyrzakanova/titanic", "kernel_id": "80303904"}, {"ref": "dianamamytova/titanic", "kernel_id": "80306283"}, {"ref": "vanmagic/notebook2b65c88aa9", "kernel_id": "80779963"}, {"ref": "akshaybavaskar/titanic-ml-prediction", "kernel_id": "80899728"}, {"ref": "nithilan2308/notebook1220237a1a", "kernel_id": "80436452"}, {"ref": "sathya4683/notebook90e58b07a5", "kernel_id": "80432670"}, {"ref": "joshuamadlangbayan/titanic-prediction", "kernel_id": "80249127"}, {"ref": "vikrantvt/notebook-2", "kernel_id": "80209449"}, {"ref": "hemanuj/titanic-saved-life-prediction", "kernel_id": "80774467"}, {"ref": "minggyul/navy-ai-study-week1", "kernel_id": "80712532"}, {"ref": "kashewknutt/ml-ca3-titanic-eda", "kernel_id": "80637788"}, {"ref": "kevinsweep/lat-uts-logistic", "kernel_id": "80260809"}, {"ref": "klimyuriy/titanic-survival-predict", "kernel_id": "80778227"}, {"ref": "luizrmartins/come-ando-com-titanic", "kernel_id": "80632417"}, {"ref": "rishi2674/titanic-dataset-deep-learning-tutorial", "kernel_id": "80483209"}, {"ref": "xinyuanshan/bigdata-homework-2", "kernel_id": "80572284"}, {"ref": "ceydazarslan/titanic-dataset-analyze", "kernel_id": "80511193"}, {"ref": "ngxuandang/titanic-nguyen-xuan-dang", "kernel_id": "80449697"}, {"ref": "mosammo/randomforest-eda", "kernel_id": "80434727"}, {"ref": "adilshamim8/the-titanic-competition-our-setting-story", "kernel_id": "80700570"}, {"ref": "bonanasser/bona-nasser-1st-notebook", "kernel_id": "80516510"}, {"ref": "ompandey23/eda-on-titanic-dataset", "kernel_id": "80283785"}, {"ref": "ompandey23/titanic-data-prep", "kernel_id": "80226608"}, {"ref": "tanyamacphee/titanic-logistic-regression-and-xgbclassifier", "kernel_id": "80383114"}, {"ref": "yousefmagdyelsayed/notebook0ba7df4564", "kernel_id": "80684024"}, {"ref": "julienbiville/titanic-prediction", "kernel_id": "80309377"}, {"ref": "jeffersonwl/titanic-knn-jefferson-dave-rio-anton", "kernel_id": "80713422"}, {"ref": "rafaeldrago/perceptron-titanic", "kernel_id": "80024635"}, {"ref": "roicaride/titanic-top-4-7", "kernel_id": "80922410"}, {"ref": "rudranilnaskar/noncomp-action-classification", "kernel_id": "80244582"}, {"ref": "mernawalid/exercise-arithmetic-and-variables", "kernel_id": "80925942"}, {"ref": "rohitmakattilll/ml-ca3-36", "kernel_id": "80638899"}, {"ref": "codegtl/tugas-2-data-science-muhammad-luqman-2022230041", "kernel_id": "80657558"}, {"ref": "jessbosch/titanic-ml-tutorial-titanic-competition", "kernel_id": "80769681"}, {"ref": "yuemingzhang123/522024320214-work2", "kernel_id": "80264113"}, {"ref": "suzhicheng/notebook4e0191b977", "kernel_id": "80073942"}, {"ref": "denisklenov/titanic-eda-survival-patterns-non-ml-prediction", "kernel_id": "80713745"}, {"ref": "denisklenov/titanic-classic-ml", "kernel_id": "80920773"}, {"ref": "jgbgjiang/notebookedc46cf75e", "kernel_id": "80703138"}, {"ref": "ketonezhang/titanic-predict", "kernel_id": "80705431"}, {"ref": "mueenkhankhattak/titanic-prediction-accuracy-89-ml", "kernel_id": "80635850"}, {"ref": "hardikharsh/titanic-survived", "kernel_id": "80083064"}, {"ref": "sorenshaw/522024320170-xsw-work2", "kernel_id": "80909938"}, {"ref": "ashishdataanalysis/eda-titanic-project", "kernel_id": "80273117"}, {"ref": "evadillo/lastattempt", "kernel_id": "80876424"}, {"ref": "hittingpacker/notebook419f03a826", "kernel_id": "80510489"}, {"ref": "yahiaragab21/titanic-ml-prediction", "kernel_id": "80573105"}, {"ref": "pranayjaiswal717/notebook9fd5566cc5", "kernel_id": "80357936"}, {"ref": "hadguamanuel/da-lab-1", "kernel_id": "80407675"}, {"ref": "hamnakaleemds/titanic-comp", "kernel_id": "80349223"}, {"ref": "sashiminju/notebook97b5e8b8e8", "kernel_id": "80993294"}, {"ref": "huitangvvv/notebookf9fe651008", "kernel_id": "80965458"}, {"ref": "lubochen/my-svm1", "kernel_id": "80225270"}, {"ref": "juliosalgadop/titanic-contest", "kernel_id": "80250467"}, {"ref": "felixnathaniel/machine-learning", "kernel_id": "80449068"}, {"ref": "accerail/titanic-practice-based-on-random-forest", "kernel_id": "80714443"}, {"ref": "tomfarnell/titanic-ml-competition", "kernel_id": "80886100"}, {"ref": "phanlthanhtrng/titanic", "kernel_id": "80657459"}, {"ref": "ericamarques/notebook-erica", "kernel_id": "80724753"}, {"ref": "anmolsinghchhabra/titanicdataset-twosample-independent-t-test", "kernel_id": "80211605"}, {"ref": "anmolsinghchhabra/titanicdataset-singlesample-t-test", "kernel_id": "80200239"}, {"ref": "nourzaki000/notebook799181421e", "kernel_id": "80853339"}, {"ref": "bbsteph/exercise-arithmetic-and-variables", "kernel_id": "80671626"}, {"ref": "nidhitiwari4/titanic-project", "kernel_id": "80009474"}, {"ref": "zvikve/hw5-ensemble-zvi-veig", "kernel_id": "80313435"}, {"ref": "hazelmarcucella/final-to-submit-titanic-yayyay-hazel", "kernel_id": "80144851"}, {"ref": "tanuj26rajput/titaniccompetition1st", "kernel_id": "80224787"}, {"ref": "amarjeetguria/titanic-dataset", "kernel_id": "80438712"}, {"ref": "fisheatno/titanic-survived-using-xgboost", "kernel_id": "80271870"}, {"ref": "mdnaimislam165436/titanic-survival-prediction", "kernel_id": "80670446"}, {"ref": "ronak2005/titanic", "kernel_id": "80508214"}, {"ref": "enesarafatoglu/titanic-analysis", "kernel_id": "80996350"}, {"ref": "shahnawaj9/titanic-machine-learning", "kernel_id": "80933340"}, {"ref": "zerol0l/titanic-survival-prediction", "kernel_id": "80924056"}, {"ref": "myskalanarbekova/titanic-competition-myskal", "kernel_id": "80264339"}, {"ref": "aiturgan888/notebook6aeb607254", "kernel_id": "80337280"}, {"ref": "aiturgan888/notebook1e895bb624", "kernel_id": "80301065"}, {"ref": "turatbektorobekov/titanicbyme", "kernel_id": "80329837"}, {"ref": "zarinakerimalieva/titanic-com22-a", "kernel_id": "80296460"}, {"ref": "arsensuranov/tileksakyevtitanicnotebook", "kernel_id": "80332736"}, {"ref": "kaganaslan/titanic-eda-data-analysis", "kernel_id": "80382400"}, {"ref": "rasimarapov/titanic-c3", "kernel_id": "80270171"}, {"ref": "helloimgnud/titanic-rf-1", "kernel_id": "80858640"}, {"ref": "aytugyuruk/2-ml-project-titanic-dataset", "kernel_id": "80997718"}, {"ref": "ankitasingharun/notebook7db9629028", "kernel_id": "80286836"}, {"ref": "mustafaammarr/notebook7dcdfd4a11", "kernel_id": "80797555"}, {"ref": "sanketvesit/titanic-competition", "kernel_id": "80638027"}, {"ref": "mt0418/notebook6a4ba47aba", "kernel_id": "80369725"}, {"ref": "hassanraza26/exercise-arithmetic-and-variables", "kernel_id": "80397695"}, {"ref": "mdferozahmedafm/titanic-survival-prediction", "kernel_id": "80671593"}, {"ref": "zfchen11/bigdatawork-2", "kernel_id": "80693967"}, {"ref": "toxicneka/titanik-note", "kernel_id": "80226109"}, {"ref": "israfilarnob/titanic-survival-83-accuracy-manually-checked", "kernel_id": "80019968"}, {"ref": "laruna/titanic-machine-learning-from-disaster", "kernel_id": "80816396"}, {"ref": "ziyangye01/notebookd0e7f38ea7", "kernel_id": "80703598"}, {"ref": "galaxyo1/titanic-0-79186-score", "kernel_id": "80507290"}, {"ref": "pennbb/dietanic-practice", "kernel_id": "80758582"}, {"ref": "versempra/titanic-prediction", "kernel_id": "80209429"}, {"ref": "jvittormp/titanic-random-forest-prediction", "kernel_id": "80839686"}, {"ref": "wh0142/homework2", "kernel_id": "80977579"}, {"ref": "keyingzhu/notebook-titanic", "kernel_id": "80832076"}, {"ref": "shichaozhangnju/notebook9c7578602c", "kernel_id": "80721920"}, {"ref": "yaotianxiang/homework02-titanic", "kernel_id": "80984018"}, {"ref": "somethingandone/notebook2c64242b5f", "kernel_id": "80274552"}, {"ref": "johnsonjob/dsml-2-18", "kernel_id": "80481805"}, {"ref": "harexx/svm-502024320017", "kernel_id": "80204777"}, {"ref": "chenjunnju/nju-bigdata", "kernel_id": "80629423"}, {"ref": "huangzhanghao/notebook9c038f72bb", "kernel_id": "80917908"}, {"ref": "byuleeeee/notebookf45c75bf74", "kernel_id": "80647202"}, {"ref": "robertiliesiu/kaggle-titanic-tutorial", "kernel_id": "80209657"}, {"ref": "snarktox/zuoye2", "kernel_id": "80684394"}, {"ref": "huangbaojun/huangbaojun-bigdata-lab2-notebook", "kernel_id": "80856618"}, {"ref": "sillujones/my-titanic-machine-learning-from-disaster", "kernel_id": "80582962"}, {"ref": "damsc94/titanic-survival-random-forest-prediction", "kernel_id": "80665949"}, {"ref": "yushinozaki/04-07", "kernel_id": "80320025"}, {"ref": "pujianghui/hui-data2", "kernel_id": "80842050"}, {"ref": "alanjonesnyydnn/notebook-homework2", "kernel_id": "80292937"}, {"ref": "shenyujie123/notebookced9760b57", "kernel_id": "80980540"}, {"ref": "shenyujie123/notebook4e17fd2dfb", "kernel_id": "80979382"}, {"ref": "repedeoanadamaris/women-women-children", "kernel_id": "80292917"}, {"ref": "emanuelasabau/kaggle-tutorial-new-dd2e4d", "kernel_id": "80354087"}, {"ref": "urechesimona/kaggle-1", "kernel_id": "80210707"}, {"ref": "anniefleming/notebookb48201e4fe", "kernel_id": "80266803"}, {"ref": "jinxingui/notebook77f3fade6e", "kernel_id": "80926176"}, {"ref": "fupenghe/svm-titanic", "kernel_id": "80994036"}, {"ref": "abiabid/titanic-survival-prediction", "kernel_id": "80259391"}, {"ref": "moisancatalinionut1/kaggle-tutorial-new-c7bce1", "kernel_id": "80366866"}, {"ref": "yassintaher/titanic-ml-competition", "kernel_id": "80005367"}, {"ref": "s1h2y3/confidence-interval-95-ana-titanic-data-proof", "kernel_id": "80842202"}, {"ref": "jluldx/first-competition", "kernel_id": "80258749"}, {"ref": "mohammadafg/titanic", "kernel_id": "80315312"}, {"ref": "alishbahajishabbir/first-notebook-with-titanic", "kernel_id": "80246338"}, {"ref": "sagilforever/titanic", "kernel_id": "80258685"}, {"ref": "rhafaelstarke/introducao-titanic", "kernel_id": "80603579"}, {"ref": "maximeizere/exercise-arithmetic-and-variables", "kernel_id": "80187054"}, {"ref": "cvyshh/titanic-machine-learning-from-disaster", "kernel_id": "80231492"}, {"ref": "ricakim/build-a-model-for-titanic-survivor-feedback-needed", "kernel_id": "80389819"}, {"ref": "aadarshprabhakumar/exercise-arithmetic-and-variables", "kernel_id": "80239245"}, {"ref": "priyans04/notebook2c5cddf42e", "kernel_id": "80337432"}, {"ref": "dhruvikamodi/notebookbb337a94d0", "kernel_id": "80357640"}, {"ref": "sariel647/dsml-02-05", "kernel_id": "80498303"}, {"ref": "liweixuan12138/notebook0632ff45b6", "kernel_id": "80332181"}, {"ref": "jayjay378/titanic-prive", "kernel_id": "80756321"}, {"ref": "hseyinavniodaba/titanik-h-seyin", "kernel_id": "80353053"}, {"ref": "mes296/mes-titanik", "kernel_id": "80369926"}, {"ref": "efeglen/efe-titanik", "kernel_id": "80374026"}, {"ref": "sashankveluvali/notebookf6a6dfec84", "kernel_id": "80397336"}, {"ref": "gybasa/getting-started-with-titanic-from-gybasa", "kernel_id": "80396866"}, {"ref": "fahadimtiaz/exercise-arithmetic-and-variables", "kernel_id": "80516766"}, {"ref": "yuvatibhabal/python-for-data-25-chi-squared-tests", "kernel_id": "80610067"}, {"ref": "yuvatibhabal/python-for-data-analysis-index", "kernel_id": "80610540"}, {"ref": "yuvatibhabal/python-for-data-26-anova", "kernel_id": "80610434"}, {"ref": "smngnnc/titanic-competition-test", "kernel_id": "80781839"}, {"ref": "velizhanina/titanic-model-sklearn", "kernel_id": "80598418"}, {"ref": "celinags/validacioncruzada", "kernel_id": "80981709"}, {"ref": "celinags/otherpredictiontitanic", "kernel_id": "80931173"}, {"ref": "celinags/gradientboostingclassifier", "kernel_id": "80985041"}, {"ref": "serraahin/ser-titanik", "kernel_id": "80597183"}, {"ref": "mansvirajeshsawant/python-for-data-25-chi-squared-tests", "kernel_id": "80783291"}, {"ref": "mansvirajeshsawant/python-for-data-3-basic-data-types", "kernel_id": "80882433"}, {"ref": "gakuookawara/notebook-titanic", "kernel_id": "80674649"}, {"ref": "sabarishvenkatesan/titanic-analysis-using-13-ml-models", "kernel_id": "80662679"}, {"ref": "atlasvinda/titanic-tutorial-02adeb", "kernel_id": "80674679"}, {"ref": "lucaspaes256/titanic", "kernel_id": "80691864"}, {"ref": "mojahedabdo/exercise-arithmetic-and-variables", "kernel_id": "80722880"}, {"ref": "nicollaskpreis/notebook3f877ab22e", "kernel_id": "80740739"}, {"ref": "ivankmk/titanic-ml-hello-world", "kernel_id": "81252777"}, {"ref": "vernika/filter-based-feature-selection", "kernel_id": "81083165"}, {"ref": "harsh1599/notebookd38c7af19c", "kernel_id": "81406623"}, {"ref": "dhruv1234/titanic-feature-engineering", "kernel_id": "81700744"}, {"ref": "ahammadshawki8/titanic-survival", "kernel_id": "81108552"}, {"ref": "tkoyama010/notebookb2fdb464b6", "kernel_id": "81947265"}, {"ref": "xjoannax88/titanic-eda-prediction-pipeline", "kernel_id": "81908877"}, {"ref": "wikkichan/titanic-survivors-prediction-using-r-xgboost", "kernel_id": "81843082"}, {"ref": "realamazingpieop/robert-fortier-titanic", "kernel_id": "81868526"}, {"ref": "paultongyoo/titanic-machine-learning-from-disaster", "kernel_id": "81642784"}, {"ref": "victoriacabrerag/titanic-firstcompetition", "kernel_id": "81295333"}, {"ref": "juancamiloramirez369/how-random-forests-really-work", "kernel_id": "81206781"}, {"ref": "jwjw9603/py-t1-1-iqr-expected-questions", "kernel_id": "81412555"}, {"ref": "eptlra/notebook279d10fbd8", "kernel_id": "81218475"}, {"ref": "cindykob/homework2", "kernel_id": "81270852"}, {"ref": "fanguni/notebook2fafee5f90", "kernel_id": "81494922"}, {"ref": "zol2323/titanic-ftl-challenge", "kernel_id": "81585862"}, {"ref": "badarchenhchimeg/re-skilling-1-1", "kernel_id": "81761912"}, {"ref": "denisenkodmitrii/titanicsurvivalpredictor", "kernel_id": "81499230"}, {"ref": "ashwanikrs/ashwani-titanic", "kernel_id": "81760172"}, {"ref": "b91a0582gsaranya/notebooke04716675c", "kernel_id": "81182619"}, {"ref": "dengshugang/notebooke86a46b39a", "kernel_id": "81342495"}, {"ref": "runxiangrong/522024320117", "kernel_id": "81118548"}, {"ref": "runxiangrong/notebookb7a24b8f83", "kernel_id": "81580631"}, {"ref": "utsusemi82/titanic-survival-prediction", "kernel_id": "81094704"}, {"ref": "wbw2333/bigdata-homework-2", "kernel_id": "81408263"}, {"ref": "wbw2333/bigdata-homework-ii", "kernel_id": "81408327"}, {"ref": "mahdimashayekhi/titanic-machine-learning-from-disaster", "kernel_id": "81917206"}, {"ref": "ajiboyetoluwalase/using-functions-to-clean-data", "kernel_id": "81320514"}, {"ref": "suraj0707/predicting-titanic", "kernel_id": "81415178"}, {"ref": "ayushv45/notebookc7de227696", "kernel_id": "81759286"}, {"ref": "aarthi2001/titanic-survived-prediction", "kernel_id": "81052434"}, {"ref": "rukuri/2025aai-02exb", "kernel_id": "81404840"}, {"ref": "unokoki/notebooke409afe40b", "kernel_id": "81347977"}, {"ref": "kyosuke0/2025aai-02exb", "kernel_id": "81424951"}, {"ref": "pranjaljain4/titanic-inai", "kernel_id": "81210071"}, {"ref": "wuweixi/titanic-homework2", "kernel_id": "81591866"}, {"ref": "hurry11/hurui-hw02", "kernel_id": "81850863"}, {"ref": "kauschik/titanic", "kernel_id": "81239947"}, {"ref": "og11so/notebook20a7c537bf", "kernel_id": "81297604"}, {"ref": "sh1nonome/notebook3f42a4757c", "kernel_id": "81440393"}, {"ref": "shaoyuyoung/titanic-assignment-2", "kernel_id": "81559015"}, {"ref": "joaobizzo/titanic", "kernel_id": "81437737"}, {"ref": "kabe0515/titanic-survived-classfication", "kernel_id": "81355564"}, {"ref": "kabe0515/titanic-analysis", "kernel_id": "81766708"}, {"ref": "kabe0515/titanic-test", "kernel_id": "81898150"}, {"ref": "mibrahimbashir/titanic", "kernel_id": "81166383"}, {"ref": "iemanihsan/feature-engineering-with-titanic-data", "kernel_id": "81205544"}, {"ref": "mariamabdelmoneim/notebookd1f0201055", "kernel_id": "81098268"}, {"ref": "yuukikawai/notebookdd6228714c", "kernel_id": "81680880"}, {"ref": "wangyukaiksu/titanic-survival-predictions-beginner", "kernel_id": "81621540"}, {"ref": "rajnishkumarcse02/random-forest-titanic", "kernel_id": "81946888"}, {"ref": "nyshang/522024320120-2", "kernel_id": "81142855"}, {"ref": "angloyasser/my-first-competition", "kernel_id": "81372518"}, {"ref": "shermannwong/522024320155", "kernel_id": "81286216"}, {"ref": "sotaaoki/notebookd024c94928", "kernel_id": "81501272"}, {"ref": "efeyldz/titanic-ml", "kernel_id": "81939146"}, {"ref": "judyzhuyuting/titanic-prediction-by-zytjudy", "kernel_id": "81528395"}, {"ref": "judyzhuyuting/titanic-predition-with-gbc", "kernel_id": "81431423"}, {"ref": "njujordan/notebook3031cc8a80", "kernel_id": "81530010"}, {"ref": "wbl123/titanic-2", "kernel_id": "81579000"}, {"ref": "mohitsolunke/titanic-servival-analysis", "kernel_id": "81941533"}, {"ref": "carolinglunarscave/bigdata2-for-titanic", "kernel_id": "81534735"}, {"ref": "liuwan5/notebook8a31191185", "kernel_id": "81511419"}, {"ref": "shuxianxie/homework-titanic", "kernel_id": "81403318"}, {"ref": "sycamore2019/notebook0311727aa1", "kernel_id": "81498633"}, {"ref": "sumeetnazare12344/titanic-google-ydf-package", "kernel_id": "81732049"}, {"ref": "mujianjian/notebook213572bb15", "kernel_id": "81588060"}, {"ref": "wow2049/homework02-hfs", "kernel_id": "81526655"}, {"ref": "sheepsleep/2025aai-02exb", "kernel_id": "81765519"}, {"ref": "zhangzijun123/522024320218", "kernel_id": "81560363"}, {"ref": "danfengyipie/bigdata-homework-2", "kernel_id": "81281486"}, {"ref": "suzukitakumi/2025aai-02exb", "kernel_id": "81348998"}, {"ref": "rikiuchida/02-kadai-b", "kernel_id": "81777893"}, {"ref": "denvermagtibay/titanic-machine-learning-code", "kernel_id": "81732078"}, {"ref": "aalaazzam/titanic-survivors-prediction", "kernel_id": "81204747"}, {"ref": "lakshay5312/titanic-eda", "kernel_id": "81357678"}, {"ref": "abcdeftm/titanicprediction", "kernel_id": "81751068"}, {"ref": "prasannajeetojha/ct-aml-apr", "kernel_id": "81077594"}, {"ref": "benthomassmith/gulustan-titanic", "kernel_id": "81868486"}, {"ref": "hosnyabdullahmohamed/different-techniques-titanic-dataset", "kernel_id": "81390612"}, {"ref": "parostulchuloth/random-forest1", "kernel_id": "81292866"}, {"ref": "omarsayedaly/data-cleaning-and-effects-on-models-st-ds", "kernel_id": "81625066"}, {"ref": "raidathmane/titanic-with-bert", "kernel_id": "81424349"}, {"ref": "jacopoferretti/titanic-strategies-to-handle-missing-values", "kernel_id": "81827132"}, {"ref": "daniilkrivohizhin/ml-data-companion", "kernel_id": "81262335"}, {"ref": "deepak4156456/titanic-ml-from-disaster", "kernel_id": "81215472"}, {"ref": "nobodyyix/bigdata2-homework-2", "kernel_id": "81027645"}, {"ref": "lvxvitae/notebook566258d313", "kernel_id": "81243802"}, {"ref": "laiba13/getting-started-with-titanic", "kernel_id": "81596873"}, {"ref": "laiba13/exercise-arithmetic-and-variables", "kernel_id": "81252473"}, {"ref": "stvgcl/hw2-kaggle", "kernel_id": "81221838"}, {"ref": "ouhaowu/titanic-tutorial", "kernel_id": "81076857"}, {"ref": "adgoel29/notebookc02d53dc48", "kernel_id": "81527590"}, {"ref": "dotohoi/titanic-kadai02-03", "kernel_id": "81751192"}, {"ref": "chenhong1875435468/notebook0445676254", "kernel_id": "81240102"}, {"ref": "aswinmuthukumar/titanic-disaster-prediction", "kernel_id": "81147418"}, {"ref": "graplo/titanic-data-science", "kernel_id": "81499175"}, {"ref": "anaghajaysankar/anagha-titanic-ml-porject", "kernel_id": "81725897"}, {"ref": "josephhowerton/titanic-building-xgboost-from-scratch", "kernel_id": "81415184"}, {"ref": "cajiki18/titanic-ex02b", "kernel_id": "81762262"}, {"ref": "fatihsar/ml-lab-3", "kernel_id": "81293566"}, {"ref": "dylanklark/dylan-titanic", "kernel_id": "81868768"}, {"ref": "vishnuprasadhsr/linear-model-nn-scratch", "kernel_id": "81844926"}, {"ref": "snd072/tdu-ai-02-exb", "kernel_id": "81765539"}, {"ref": "jasonmelvinhartono/titanic-treebasedmodel", "kernel_id": "81890505"}, {"ref": "komody/2025aai-02exb20250422", "kernel_id": "81739564"}, {"ref": "komody/ch-01-titanic-20250422", "kernel_id": "81348721"}, {"ref": "karanchourasiya/mytitanic", "kernel_id": "81415887"}, {"ref": "cyrusiwnl/notebookfdc323dcd1", "kernel_id": "81588098"}, {"ref": "swaroopashivanagi/eda-titanic", "kernel_id": "81846198"}, {"ref": "misterfour/logistics-regression-binary-classification", "kernel_id": "81300824"}, {"ref": "wzhhh2001/stacking", "kernel_id": "81421818"}, {"ref": "princemishra18/titanic-with-random-forest", "kernel_id": "81157143"}, {"ref": "naitik44/titanic-prediction", "kernel_id": "81341698"}, {"ref": "patrizialandokama/titanic-machine-learning", "kernel_id": "81612773"}, {"ref": "omghart/titanic", "kernel_id": "81941227"}, {"ref": "alvinyusufriziq/gan-fingerprint", "kernel_id": "81522297"}, {"ref": "paoxiaomo/notebookc1136bf514", "kernel_id": "81914435"}, {"ref": "kevinsweep/ensemblelearning", "kernel_id": "81888748"}, {"ref": "manarsaber/titanic-case-study", "kernel_id": "81800310"}, {"ref": "mrrogueknight/1-exercise-arithmetic-and-variables", "kernel_id": "81248499"}, {"ref": "llkh0a/who-will-survive-predict-titanic-survival", "kernel_id": "81618865"}, {"ref": "llkh0a/titanic-survival-analysis-insights", "kernel_id": "81575941"}, {"ref": "keithemanzi/titanic-analyse-notizbuch", "kernel_id": "81665151"}, {"ref": "mohamedramadanm1/titanic-random-forest-95-train-acc-0-85-f1-score", "kernel_id": "81865908"}, {"ref": "abdullahhamadalmousa/titanic", "kernel_id": "81812992"}, {"ref": "giakhanhlvc/titanic", "kernel_id": "81850557"}, {"ref": "ethandriggers/ethandriggers-titanic", "kernel_id": "81868713"}, {"ref": "archerjames/archer-james-titanic", "kernel_id": "81868533"}, {"ref": "feiwang1204/titanic", "kernel_id": "81279222"}, {"ref": "anandeshp/titanicsurvivalcount", "kernel_id": "81917205"}, {"ref": "valentypo/ml-week-7-steven-valentino-taslim", "kernel_id": "81745563"}, {"ref": "abhinishtiwari/titanic-dataset-analysis", "kernel_id": "81427887"}, {"ref": "pandikabileshp/titanic-competion", "kernel_id": "81689763"}, {"ref": "kcro42/notebook-kf-ml-08", "kernel_id": "81819979"}, {"ref": "lixxxxxxxx/bigdata-homework2-lizhenghao", "kernel_id": "81186883"}, {"ref": "sohilaelmassry/classification-metrics", "kernel_id": "81728787"}, {"ref": "juliankraus/decisiontree", "kernel_id": "81870043"}, {"ref": "juliankraus/xgboost", "kernel_id": "81712299"}, {"ref": "jasonw0331/titanic-ml-ensemble-model", "kernel_id": "81869018"}, {"ref": "sahil4818/abcdefg", "kernel_id": "81696433"}, {"ref": "jeremylee0109/522024320092", "kernel_id": "81556908"}, {"ref": "aatakanavcii/getting-started-with-titanic", "kernel_id": "81635201"}, {"ref": "aatakanavcii/titanic-data-science-solutions", "kernel_id": "81696461"}, {"ref": "arie07/02-learn-kaggle-competetions-with-titanic-dataset", "kernel_id": "81770168"}, {"ref": "daltonschmidt/titanic-code", "kernel_id": "81003230"}, {"ref": "ivanwanmmbc/522024320145", "kernel_id": "81346363"}, {"ref": "ivanwanmmbc/titanic-prediction", "kernel_id": "81346199"}, {"ref": "asilpoyrazahin/titanic-ml-prediction", "kernel_id": "81032318"}, {"ref": "loktungchanc/titanic-prediction", "kernel_id": "81405403"}, {"ref": "jinqiqing04/titanic-jinqiqing-0420", "kernel_id": "81233757"}, {"ref": "rachelross1/kaggle-ensembles", "kernel_id": "81592514"}, {"ref": "jihuazhangzz/23189213", "kernel_id": "81029671"}, {"ref": "wx986829921/notebook40c8432100", "kernel_id": "81585212"}, {"ref": "yangchen7654321/notebookf8d1df9c7d", "kernel_id": "81052875"}, {"ref": "yangchen7654321/notebook3d32ef1b70", "kernel_id": "81051815"}, {"ref": "anchor2/titanic-random-forest", "kernel_id": "81371145"}, {"ref": "cc0107/getting-started-with-titanic", "kernel_id": "81417519"}, {"ref": "bobbyhan111/522024320049", "kernel_id": "81205405"}, {"ref": "fantasy1755/notebook5a41129e32", "kernel_id": "81279438"}, {"ref": "mywang819/bigdata2", "kernel_id": "81309551"}, {"ref": "mywang819/bigdata22", "kernel_id": "81230010"}, {"ref": "kaggezai/522024320227", "kernel_id": "81270314"}, {"ref": "minglu121/notebookc62a6bcd52", "kernel_id": "81578618"}, {"ref": "youchengsun/notebook1c0b8f9244", "kernel_id": "81520664"}, {"ref": "jiaxushen/assignment2", "kernel_id": "81311208"}, {"ref": "petermolgy/bigdata-work2", "kernel_id": "81586329"}, {"ref": "cyril2024/notebookbe107b0dd8", "kernel_id": "81455776"}, {"ref": "hmmoonwhite/zmynotebook", "kernel_id": "81405987"}, {"ref": "hmmoonwhite/zmynotebookwork2", "kernel_id": "81424933"}, {"ref": "yy0122/bigdata2", "kernel_id": "81471660"}, {"ref": "yy0122/test-ac-83369c", "kernel_id": "81381270"}, {"ref": "suyaoting/notebook0420", "kernel_id": "81223452"}, {"ref": "rayvelg/titanic-decision-tree-random-forest", "kernel_id": "81779448"}, {"ref": "slinet6056/notebook038b9fff23", "kernel_id": "81496928"}, {"ref": "sylviaahan/assignment-2", "kernel_id": "81525664"}, {"ref": "matintofighi/titanic-disaster", "kernel_id": "81758247"}, {"ref": "jinyongsan/notebook-homework2", "kernel_id": "81286392"}, {"ref": "sev7en1/titanic3", "kernel_id": "81277803"}, {"ref": "zhy211/notebookdb6d8a745a", "kernel_id": "81285303"}, {"ref": "zhy211/bigdata-homework-zhangyu", "kernel_id": "81284877"}, {"ref": "kaikaiweis/522024320207-second-work", "kernel_id": "81208324"}, {"ref": "kaixuanqiu/titanic", "kernel_id": "81180643"}, {"ref": "leefingor/randomforest-predict", "kernel_id": "81243694"}, {"ref": "shinobuu/notebook4ryrnamedhl", "kernel_id": "81165621"}, {"ref": "evilpotatodog/mysolution", "kernel_id": "81218457"}, {"ref": "kemoisuki/homework2", "kernel_id": "81522494"}, {"ref": "kemoisuki/notebook8b4d5f67a9", "kernel_id": "81420339"}, {"ref": "lele25811/titanic-machine-learning-from-disaster", "kernel_id": "81725185"}, {"ref": "authenlee/liao-nju", "kernel_id": "81590793"}, {"ref": "rileyrollinson/titanic", "kernel_id": "81463082"}, {"ref": "michmach/decision-tree", "kernel_id": "81980279"}, {"ref": "martishin/titanic-survival-prediction-using-lightgmb", "kernel_id": "81014899"}, {"ref": "shiweibai/notebook06df7db8b4", "kernel_id": "81434928"}, {"ref": "hideenko/titanic", "kernel_id": "81381042"}, {"ref": "kekwy27/work2", "kernel_id": "81146720"}, {"ref": "jiangsiying/bigdata2-jiangsiying", "kernel_id": "81442799"}, {"ref": "danyangli324/notebooka9fd58a0ba", "kernel_id": "81571364"}, {"ref": "mightyjiraiya/titanic-survival-prediction", "kernel_id": "81290260"}, {"ref": "youngseonjeon/titanic250421-03", "kernel_id": "81275032"}, {"ref": "praveenmlp/titanicdatanotebook", "kernel_id": "81206497"}, {"ref": "dolly1512/titanic-data-set", "kernel_id": "81684394"}, {"ref": "thiagoacker/getting-started-with-titanic", "kernel_id": "81478042"}, {"ref": "kewalrai/titanic-machine-learning-from-disaster", "kernel_id": "81533650"}, {"ref": "easyice/titanic-dataset-model", "kernel_id": "81049786"}, {"ref": "henrymccarty/titanic-submission", "kernel_id": "81802052"}, {"ref": "roderichcavine/machine-learning-decision-tree-lj01-roderich", "kernel_id": "81733594"}, {"ref": "joudalqaissi/zinc-titanic", "kernel_id": "81860512"}, {"ref": "mudasarsabir/titanic-competition-by-logistic-regression", "kernel_id": "81575089"}, {"ref": "mudasarsabir/titanic-competition-by-decision-tree", "kernel_id": "81923968"}, {"ref": "hernicksensatria/2702235235-titanic-ensemble", "kernel_id": "81887300"}, {"ref": "bamboonotes/titanicsub1", "kernel_id": "81274636"}, {"ref": "krugex/qamonster", "kernel_id": "81436431"}, {"ref": "ezzeldienmahmoud/exercise-arithmetic-and-variables", "kernel_id": "81388807"}, {"ref": "abduraaahim/titanic", "kernel_id": "81043139"}, {"ref": "vipulsingh13/notebook93186ab008", "kernel_id": "81025110"}, {"ref": "baibai721/notebook3a106962a7", "kernel_id": "81425590"}, {"ref": "andersonzinum/getting-started-with-titanic", "kernel_id": "81849820"}, {"ref": "jenniferlee1287/inst737-final-project", "kernel_id": "81882301"}, {"ref": "fishingdragon/502024320018-2-v2", "kernel_id": "81302099"}, {"ref": "zhouxiangchi/titanic-svm", "kernel_id": "81098217"}, {"ref": "nielco/titanic-tutorial-new", "kernel_id": "81551869"}, {"ref": "yplpppp/randomforest", "kernel_id": "81295156"}, {"ref": "habibadarwish66/titanic-machine", "kernel_id": "81049835"}, {"ref": "zfchen11/notebookc81d1b529c", "kernel_id": "81223091"}, {"ref": "jyynjulip/notebookf80520b3a1", "kernel_id": "81082128"}, {"ref": "waymanblue/2025aai-02exb", "kernel_id": "81728355"}, {"ref": "huangzhenbin/huangzhenbin-titanic-notebook", "kernel_id": "81207857"}, {"ref": "ghyghy20010129/notebook8893f26de1", "kernel_id": "81414841"}, {"ref": "chenyaru1/homework2", "kernel_id": "81379767"}, {"ref": "zrx238/zrx-bigdata-work02", "kernel_id": "81208097"}, {"ref": "lathotepnyaaar/tianic-2", "kernel_id": "81493800"}, {"ref": "xiaojinrong/522024320169", "kernel_id": "81180990"}, {"ref": "wlshss/bigdata-hw2", "kernel_id": "81458661"}, {"ref": "zlatan599/titanic-with-94-f1-score", "kernel_id": "81248551"}, {"ref": "eureka907/bigdata-hw2", "kernel_id": "81094275"}, {"ref": "graysonwang/graysonwang-svr-submission", "kernel_id": "81571257"}, {"ref": "likelikec/titanic-1", "kernel_id": "81483970"}, {"ref": "yuchenling007/bigdata-hw-2", "kernel_id": "81117887"}, {"ref": "lincheon22/homework2", "kernel_id": "81281636"}, {"ref": "pipi922/titanic-test2", "kernel_id": "81228657"}, {"ref": "cangrongxin/notebookc531f744c7", "kernel_id": "81516032"}, {"ref": "cangrongxin/notebookfb8c17b44a", "kernel_id": "81576510"}, {"ref": "isilalphare/homework2-xiaoyu", "kernel_id": "81524653"}, {"ref": "hersenberg/bigdatasecondhomework", "kernel_id": "81486309"}, {"ref": "wanpeipei/notebookeb6fb3cc53", "kernel_id": "81295510"}, {"ref": "zhoujunhui7/big-data-assignment-2", "kernel_id": "81159009"}, {"ref": "zhanruofeng/522024320198", "kernel_id": "81561328"}, {"ref": "gzhhhhh/titanic222", "kernel_id": "81187644"}, {"ref": "gzhhhhh/titanic-22", "kernel_id": "81186863"}, {"ref": "gzhhhhh/titanic-b-s", "kernel_id": "81161770"}, {"ref": "camelliaunicorn/second-task", "kernel_id": "81298653"}, {"ref": "watchdoggg/decision-tree-classifier-0-78", "kernel_id": "81980790"}, {"ref": "hucaixuan/hcxtitanic", "kernel_id": "81427340"}, {"ref": "mmxysj/notebook2", "kernel_id": "81559503"}, {"ref": "didarsingh91/titanic-data-prediction", "kernel_id": "81295116"}, {"ref": "doomgraham/homework2", "kernel_id": "81270381"}, {"ref": "chancezhao/notebook1a3f12c505", "kernel_id": "81407313"}, {"ref": "liyuanyenju/notebookfb5aa4a515", "kernel_id": "81172106"}, {"ref": "atsushiinayoshi/titanic-randomforestclassifier-2", "kernel_id": "81977568"}, {"ref": "sercansahin/titanic-tutorial", "kernel_id": "81984745"}, {"ref": "lewywang/wangxiaohomework2", "kernel_id": "81420164"}, {"ref": "oxygenchen/notebook5c181b1a60", "kernel_id": "81220925"}, {"ref": "fffffriday/notebook5e149fa4da", "kernel_id": "81095153"}, {"ref": "kongyuxuan/titanic", "kernel_id": "81220868"}, {"ref": "why124/titanic", "kernel_id": "81412335"}, {"ref": "why124/work2", "kernel_id": "81411280"}, {"ref": "anthony14macharia/getting-started-with-titanic", "kernel_id": "81544016"}, {"ref": "born2k61/titanic-survivals-based-on-id", "kernel_id": "81088155"}, {"ref": "liuwenlei/notebooklwlhomework2", "kernel_id": "81304272"}, {"ref": "liuwenlei/aaaaaaaaaw2025-0422", "kernel_id": "81350140"}, {"ref": "yujiayuan666/522024320192", "kernel_id": "81580674"}, {"ref": "hotmagicfish/notebookc3c61fc576", "kernel_id": "81221349"}, {"ref": "lletywa/notebook5b6402c69b", "kernel_id": "81143869"}, {"ref": "jiyuanjie/notebook374d4adf2b", "kernel_id": "81174004"}, {"ref": "sanggh/notebook-homework2", "kernel_id": "81586392"}, {"ref": "geo0426/522024320060", "kernel_id": "81549815"}, {"ref": "xingtu/homework2", "kernel_id": "81271555"}, {"ref": "m0obiiuus/notebook9114d8785b", "kernel_id": "81421799"}, {"ref": "jinweishi171717/shijinwei", "kernel_id": "81350722"}, {"ref": "hairina/titanic-2", "kernel_id": "81526846"}, {"ref": "wangzicen/notebook2006f480d3", "kernel_id": "81237205"}, {"ref": "ziwudanniutong/522024320176-2", "kernel_id": "81579139"}, {"ref": "mengbaoquan/notebook-version2", "kernel_id": "81589032"}, {"ref": "jszhutao/titanic", "kernel_id": "81165165"}, {"ref": "zhanges/titanic-rf", "kernel_id": "81052381"}, {"ref": "abhay8471/titanicprediction", "kernel_id": "81593771"}, {"ref": "jiarujiang/notebook93318d5128", "kernel_id": "81236058"}, {"ref": "noweltschmerz/notebook87c191bfbf", "kernel_id": "81572104"}, {"ref": "ruiwanling/522024320118-v2", "kernel_id": "81240298"}, {"ref": "zhangjjnju/titanic-randomforest", "kernel_id": "81589503"}, {"ref": "fevenhaile/notebook7507f5d7fb", "kernel_id": "81585603"}, {"ref": "chenzaihao/chenzaihao-2", "kernel_id": "81574842"}, {"ref": "chenzaihao/svr-czh", "kernel_id": "81590630"}, {"ref": "dawang14323/notebook-homework2-wyd", "kernel_id": "81491449"}, {"ref": "chp0327/notebook3bdcc70d9c", "kernel_id": "81516412"}, {"ref": "null233332/lrz-assignment2", "kernel_id": "81574540"}, {"ref": "governer/bigdata-work2", "kernel_id": "81157838"}, {"ref": "roxy016/notebook5a7fcb9386", "kernel_id": "81212164"}, {"ref": "shenxianwu/sxwbigdatahomework2", "kernel_id": "81463842"}, {"ref": "sem666/ms6666", "kernel_id": "81580696"}, {"ref": "fruitfighter123/notebook8c7983e185", "kernel_id": "81334957"}, {"ref": "cclate/work2-predictsurvivors", "kernel_id": "81569008"}, {"ref": "phenylethylamine/notebook0185c47371", "kernel_id": "81516398"}, {"ref": "mahanyi/titanic-v2", "kernel_id": "81510768"}, {"ref": "joopedrogrippa/titanic-survival-prediction", "kernel_id": "81848189"}, {"ref": "echouuid/notebook594c5e9986", "kernel_id": "81567925"}, {"ref": "xichenlin/tomlin", "kernel_id": "81364425"}, {"ref": "wxwxwxw5/titanic-wxw-2", "kernel_id": "81553790"}, {"ref": "maoluyu/maoluyu", "kernel_id": "81582143"}, {"ref": "fupenghe/notebook307d666ec0", "kernel_id": "81120934"}, {"ref": "jiazixiao/502024320005-jzx", "kernel_id": "81574337"}, {"ref": "bachemuralikrishna/titanic-survival-prediction-capstone", "kernel_id": "81019875"}, {"ref": "aseelalshishani/zinc-titanic", "kernel_id": "81783779"}, {"ref": "kavyakatal/titanic", "kernel_id": "81132415"}, {"ref": "s1h2y3/titanic-single-sample-t-test", "kernel_id": "81018267"}, {"ref": "kittycat23/notebook473af81351", "kernel_id": "81351338"}, {"ref": "malihamanzoor12/notebooke95584f03e", "kernel_id": "81307813"}, {"ref": "tungdd2009/titanic", "kernel_id": "81119914"}, {"ref": "pushkarjoshi17/notebookc0138e6f40", "kernel_id": "81652133"}, {"ref": "duckduckshiba/notebooka2bb0d6bdc", "kernel_id": "81433947"}, {"ref": "ugurozbiberci/titanic-survival-prediction", "kernel_id": "81869457"}, {"ref": "hasnainyaqooob/survival-rate-pred-using-ml-models", "kernel_id": "81502832"}, {"ref": "jesuislepremier/first-notebook-with-kaggle", "kernel_id": "81185807"}, {"ref": "liyanasara/kaggle-titanic", "kernel_id": "81076265"}, {"ref": "shahriar26s/best-for-titanic", "kernel_id": "81722858"}, {"ref": "edwinsoftwaredev/titanic-logistic-regression", "kernel_id": "81329937"}, {"ref": "seowataru/2025aai-02exb-2", "kernel_id": "81720488"}, {"ref": "mizzn0/ai-02-b", "kernel_id": "81488195"}, {"ref": "pigpork/notebook280312d55c", "kernel_id": "81623197"}, {"ref": "sahara1227/notebook3e47b3d761", "kernel_id": "81433594"}, {"ref": "koyatamari/homework-02", "kernel_id": "81647341"}, {"ref": "gucci711/2025aai-02exb", "kernel_id": "81686945"}, {"ref": "negishi24rmd33/2025aai-02exb", "kernel_id": "81760290"}, {"ref": "taikikaramushizawa/notebook1795d21770", "kernel_id": "81773969"}, {"ref": "soh16m0ri/notebookb26237af29", "kernel_id": "81758601"}, {"ref": "yamauchiyuta0718/2025aai-02exb-24rmd46", "kernel_id": "81661444"}, {"ref": "ssssmd/2025aai-02exb", "kernel_id": "81490452"}, {"ref": "tsuyoshifukushima/2025aai-02exb", "kernel_id": "81373403"}, {"ref": "kitaaa1223/2025aai-02exb-ipynb", "kernel_id": "81774172"}, {"ref": "kanta12343/2025aai-02exb", "kernel_id": "81401377"}, {"ref": "wangyifei9988/notebook0bc368d1c7", "kernel_id": "81681767"}, {"ref": "akamaruuuussssss2/2025aai-02exb", "kernel_id": "81497576"}, {"ref": "masato0207/ex02b", "kernel_id": "81772279"}, {"ref": "venomrh/getting-started-with-titanic", "kernel_id": "81052053"}, {"ref": "reijikato/ch-01-titanic", "kernel_id": "81348703"}, {"ref": "reijikato/2025aai-02exbb", "kernel_id": "81699166"}, {"ref": "manojkumarthapa/titanic-survival-random-forest-76-accuracy", "kernel_id": "81076995"}, {"ref": "dariamariabuduru/titanic-challange-2", "kernel_id": "81186109"}, {"ref": "dariamariabuduru/better-version-titanic-challange", "kernel_id": "81360277"}, {"ref": "sokita4/2025aai-02exb", "kernel_id": "81631760"}, {"ref": "noluthandofakude/titanic", "kernel_id": "81418702"}, {"ref": "kotarowithconan/ch-01-titanic", "kernel_id": "81348842"}, {"ref": "seannawa/attemptunotitanic", "kernel_id": "81002284"}, {"ref": "brhanzelalem1kaggle/titanic-machine-learning-from-disaster", "kernel_id": "81014520"}, {"ref": "yukino0420/2025aai-02exb", "kernel_id": "81420130"}, {"ref": "ibukisaito/titanic-b", "kernel_id": "81558273"}, {"ref": "nakazawayuuto/ch-02-titanic", "kernel_id": "81564346"}, {"ref": "ilyasabouch/getting-started-with-titanic", "kernel_id": "81521453"}, {"ref": "ktaimp/2025aai-02exb", "kernel_id": "81771890"}, {"ref": "wujennywu/notebook4fcb14e37e", "kernel_id": "81435214"}, {"ref": "ankitpandey0x/notebooka5fcf09921", "kernel_id": "81132416"}, {"ref": "leyaowei2005/notebook56031ab094", "kernel_id": "81149913"}, {"ref": "shoyanoguchi/2025aai-02exb", "kernel_id": "81758952"}, {"ref": "yusaku86/titanic02b", "kernel_id": "81740406"}, {"ref": "deriki/notebook5da9048e60", "kernel_id": "81735335"}, {"ref": "yanaseyukio/titanic-competitions", "kernel_id": "81380195"}, {"ref": "kawakamisan/titanic2", "kernel_id": "81485557"}, {"ref": "ryoyaguchi/notebook7ee7f0f6c4", "kernel_id": "81741416"}, {"ref": "danlincheng/task01", "kernel_id": "81279033"}, {"ref": "penguin0213/notebookb3a6ba20e8", "kernel_id": "81279963"}, {"ref": "feisen999/titanic-v2", "kernel_id": "81291454"}, {"ref": "lahceneouledmoussa/exercise-arithmetic-and-variables", "kernel_id": "81765254"}, {"ref": "xingzhang208/notebook208", "kernel_id": "81311263"}, {"ref": "biddytarot11/titanic", "kernel_id": "81323087"}, {"ref": "patricktucker2/notebook22e90c8fe2", "kernel_id": "81517806"}, {"ref": "hrxia123/notebook1d2efacf61", "kernel_id": "81372358"}, {"ref": "hussienelsanose/lab-3-k-nn-algorithm", "kernel_id": "81393483"}, {"ref": "sakshipatel8813/titanic-survival-predictor", "kernel_id": "81384726"}, {"ref": "tkjwestillloveu/notebook9dbd86e2fe", "kernel_id": "81412805"}, {"ref": "tkjwestillloveu/notebookc1cd3252f8", "kernel_id": "81414129"}, {"ref": "harshitm109/titanic", "kernel_id": "81415106"}, {"ref": "chenyifan12312432/notebookb6b3147ae8", "kernel_id": "81431867"}, {"ref": "huazhen6657/notebookea7b7a43a5", "kernel_id": "81433903"}, {"ref": "malubamulebi/getting-started-with-titanic", "kernel_id": "81524921"}, {"ref": "trevorolson13/titanic-problem", "kernel_id": "81528951"}, {"ref": "xiaopeng123321/notebook-homework2-xxp", "kernel_id": "81492109"}, {"ref": "zyxwxwu/getting-started-with-titanic", "kernel_id": "81499817"}, {"ref": "shubhamjaglan001/notebook23b32af319", "kernel_id": "81505774"}, {"ref": "bintangjagad/tugas-ai-ml-titanic-kelompok-2", "kernel_id": "81570925"}, {"ref": "lliuhaoran/homework2", "kernel_id": "81592616"}, {"ref": "kauanbuzone/getting-started-with-titanic", "kernel_id": "81936535"}, {"ref": "kanakbaghel/getting-started-with-titanic", "kernel_id": "81702394"}, {"ref": "juliphy/titanic", "kernel_id": "81909716"}, {"ref": "dataneed99/ashwani-titanic", "kernel_id": "81803690"}, {"ref": "dataneed99/ashwani-titanic-b701b2", "kernel_id": "81803691"}, {"ref": "dataneed99/titanic-insights-predictions", "kernel_id": "81803532"}, {"ref": "loganalowery/logan-lowery", "kernel_id": "81868613"}, {"ref": "cjmorrison17/max-morrison-titanic", "kernel_id": "81868734"}, {"ref": "longnguyen8058/long-nguyen-titanic", "kernel_id": "81868532"}, {"ref": "mackenzieduff/gulustan-titanic", "kernel_id": "81869280"}, {"ref": "topjun/practice-notebook", "kernel_id": "81893350"}, {"ref": "mfanisenithusi/titanic-project-mfaniseni-tshepo", "kernel_id": "81924703"}, {"ref": "alimahran2211/notebook588dba818c", "kernel_id": "81989149"}, {"ref": "ofyalcin/imputations", "kernel_id": "82253992"}, {"ref": "sagarbhusal/titanic-machine-learning-from-disaster", "kernel_id": "82466573"}, {"ref": "zakiyff/titanic-submission-trial", "kernel_id": "82503078"}, {"ref": "galwaybob/80-9-on-unseen-test-data-titanic", "kernel_id": "82661915"}, {"ref": "galwaybob/titanic-in-8-lines-of-code-77-accuracy", "kernel_id": "82658133"}, {"ref": "stpeteishii/iris-keras-mlp-classifier", "kernel_id": "82716890"}, {"ref": "stpeteishii/titanic-keras-mlp-classifier", "kernel_id": "82663672"}, {"ref": "stpeteishii/titanic-randomforest-w-processed-data", "kernel_id": "82204735"}, {"ref": "rohith964/titanic-survival-prediction", "kernel_id": "82630536"}, {"ref": "yashpuri/titanic-ml-2", "kernel_id": "82203028"}, {"ref": "faiqueali/titanic-survival-clusters-voting-ensemble", "kernel_id": "82177023"}, {"ref": "victorluizroman/titanic-machine-learning-from-disaster", "kernel_id": "82910120"}, {"ref": "yerassylabylkassym/classical-ml-chalka", "kernel_id": "82061937"}, {"ref": "drmurataltun/titanik-veri-bilimi-al-mas", "kernel_id": "82761652"}, {"ref": "ucdl2020/notebook94bd9a2d7e", "kernel_id": "82767653"}, {"ref": "ucdl2020/notebookb77fb40fc4", "kernel_id": "82153107"}, {"ref": "ucdl2020/notebook98577e51ea", "kernel_id": "82144980"}, {"ref": "ucdl2020/notebook9b2df97fb5", "kernel_id": "82082181"}, {"ref": "ucdl2020/notebook58ffcd9f4b", "kernel_id": "82192097"}, {"ref": "e29ombhandwalkar/titanic-pytorch-ann", "kernel_id": "82211060"}, {"ref": "zeinabsalem/taitanic", "kernel_id": "82082087"}, {"ref": "navaneethakj/titanic-survival-ml-prediction", "kernel_id": "82125243"}, {"ref": "saanvitayal07/htf-is-ti-null", "kernel_id": "82032961"}, {"ref": "tingweii4/notebook58ffcd9f4b", "kernel_id": "82736674"}, {"ref": "earlpeterjg/titanic-using-random-forest-and-grid-search-cv", "kernel_id": "82242578"}, {"ref": "matteokfg/decisiontree", "kernel_id": "82923282"}, {"ref": "matteokfg/randomforest", "kernel_id": "82926172"}, {"ref": "jatin2055/exploratory-data-analysis-eda", "kernel_id": "82871958"}, {"ref": "oleksiitrotsenko/decision-tree-trotsenko-homework-2", "kernel_id": "82357305"}, {"ref": "wahyuardhitama/task001-p02-ml-titanic-20250416", "kernel_id": "82295974"}, {"ref": "wahyuardhitama/task001-p03-ml-titanic-20250506", "kernel_id": "82382358"}, {"ref": "wahyuardhitama/task001-p04-ml-titanic-20250507", "kernel_id": "82775544"}, {"ref": "chirayukapoor/titanic-prediction-0-794-score", "kernel_id": "82010155"}, {"ref": "durgavikas/titatic-survival-predictor", "kernel_id": "82960521"}, {"ref": "editama/titanic-1st-attempt", "kernel_id": "82415965"}, {"ref": "miaadkimiagari2004/notebook61cb72999f", "kernel_id": "82977003"}, {"ref": "munugotisairuthvik/titanic-survived-pred-model", "kernel_id": "82252597"}, {"ref": "pacymugisho/getting-started-with-titanic", "kernel_id": "82928115"}, {"ref": "raulnusa98/titanic-raul", "kernel_id": "82631807"}, {"ref": "navyarajesh/decision-tree-titanic", "kernel_id": "82294636"}, {"ref": "viswaprakash1990/titanic-machine-learning-from-disaster", "kernel_id": "82618081"}, {"ref": "ametyst1101/titanic-synthetic-data-svd", "kernel_id": "82116216"}, {"ref": "nradwan/surviving-the-titanic-a-machine-learning-journey", "kernel_id": "82576620"}, {"ref": "wxxxni/py-t1-1-iqr-expected-questions", "kernel_id": "82754693"}, {"ref": "dongxuanhou/titanic-hw5", "kernel_id": "82204623"}, {"ref": "eslamsabry100/titanic-knn-classifier", "kernel_id": "82318949"}, {"ref": "npsnnissanka/titanic-neural-network-for-beginners", "kernel_id": "82407707"}, {"ref": "gamgulgukbab/notebookb987afbe49", "kernel_id": "82880367"}, {"ref": "sheroleg/titanic-competition", "kernel_id": "82802255"}, {"ref": "ashirzaki/titanic-eda-ipynb", "kernel_id": "82661396"}, {"ref": "shaunax/titanic-for-randomforestclassifier", "kernel_id": "82504745"}, {"ref": "rahulkeswani13/titanic-tutorial", "kernel_id": "82761067"}, {"ref": "shubhranshu331/graph-neural-networks-for-survival-prediction", "kernel_id": "82699455"}, {"ref": "pratikguha/titanic-model", "kernel_id": "82191237"}, {"ref": "henryjks/titanic-survival-prediction-logistic-regression", "kernel_id": "82888469"}, {"ref": "zeyneparkan/titanic-analysis-getting-started", "kernel_id": "82645386"}, {"ref": "abdullahrasheed102/titanic", "kernel_id": "82172365"}, {"ref": "chaimakh/notebook5a7ebd27e4", "kernel_id": "82106369"}, {"ref": "asishjosekakkadan/titanic-ml-beginnermodels", "kernel_id": "82537644"}, {"ref": "goldybarar/titanicworkbook", "kernel_id": "82072256"}, {"ref": "vadhnasamedyhun/titanic-prediction-eda-logisticregression", "kernel_id": "82223037"}, {"ref": "asifaparveenmabscds/titanic-survival-prediction", "kernel_id": "82717835"}, {"ref": "tinguyntrng/titanic-competition", "kernel_id": "82307104"}, {"ref": "shryay/getting-started-with-titanic", "kernel_id": "82797386"}, {"ref": "mymomsdatatset/titanic-ml-notebook", "kernel_id": "82179926"}, {"ref": "alimughal102/eda-titanic", "kernel_id": "82169309"}, {"ref": "marcopace2000/titanic-randomforest-gridsearchcv", "kernel_id": "82351641"}, {"ref": "abhishek123kushwaha/titanic-dataset-work", "kernel_id": "82926190"}, {"ref": "puzanbaniya/notebook88626c8855", "kernel_id": "82457184"}, {"ref": "dhruvaapatel/titanic-solution", "kernel_id": "82403627"}, {"ref": "ivanvert/titanic-solution", "kernel_id": "82293188"}, {"ref": "ivanvert/ensemble-methods-v1-russian", "kernel_id": "82377880"}, {"ref": "salmanulfarish/titanic-randomforest-w-processed-data", "kernel_id": "82260950"}, {"ref": "surajpratapsingh1/neural-network-from-scratch", "kernel_id": "82831814"}, {"ref": "nikitamanaenkov/the-perceptron-titanic", "kernel_id": "82771428"}, {"ref": "joshuaquintos/titanic-survival-with-rf", "kernel_id": "82998940"}, {"ref": "katedao58/titanic-ensembletechniques", "kernel_id": "82019723"}, {"ref": "trangnguyenthien/titanic-da-hw5", "kernel_id": "82091819"}, {"ref": "akankshamajumder/akanksha-titanic", "kernel_id": "82139660"}, {"ref": "frankshi666/titanic-survival-prediction", "kernel_id": "82017925"}, {"ref": "mertkayahan/titanic", "kernel_id": "82849396"}, {"ref": "humbertoguttaubravo/notebookb9dbe4308a", "kernel_id": "82507267"}, {"ref": "hollymmcandrew/titanic-stacking", "kernel_id": "82176153"}, {"ref": "hollymmcandrew/notebook32a20c2339", "kernel_id": "82203127"}, {"ref": "anaghars111/titaniccompetition", "kernel_id": "82683446"}, {"ref": "arilesibrahim27/homework-5-ada", "kernel_id": "82204422"}, {"ref": "hunapereira/first-model-titanic", "kernel_id": "82386975"}, {"ref": "ahmadelsayedml/titanic-prediction-ahmad", "kernel_id": "82718107"}, {"ref": "zimingwang430/titanic-by-ziming", "kernel_id": "82199800"}, {"ref": "snehasaheesan/titanic", "kernel_id": "82277836"}, {"ref": "arjunsubhagan/notebook894ce7be3c", "kernel_id": "82862542"}, {"ref": "mohamedaymanelkhatib/ml-ml", "kernel_id": "82374279"}, {"ref": "ahmedelmesarea/titanic-eda-and-classifcation", "kernel_id": "82755462"}, {"ref": "imadediine/titanicfusion-deep-learning-meets-random-forest", "kernel_id": "82990828"}, {"ref": "javink99/ensemblelearning", "kernel_id": "82200538"}, {"ref": "yonasfikadie/notebook79297a8d4a", "kernel_id": "82436269"}, {"ref": "venessaxinzi/titanic-disaster-xinyu-zhang", "kernel_id": "82202410"}, {"ref": "venessaxinzi/hw5-part-2-titanic-disaster-xinyu-zhang", "kernel_id": "82203234"}, {"ref": "pujayadavibs24/part-2-kaggle-challenge", "kernel_id": "82179116"}, {"ref": "jayyyydesh/titanic-hw5", "kernel_id": "82191611"}, {"ref": "brandeissugam/a5-sn", "kernel_id": "82209061"}, {"ref": "mariaramirez06/hw5-mariaram-2", "kernel_id": "82192592"}, {"ref": "mariaramirez06/hw5-mariaram-3", "kernel_id": "82194124"}, {"ref": "mariaramirez06/hw5-mariaram", "kernel_id": "82183687"}, {"ref": "hannahrabbani/prediction", "kernel_id": "82624638"}, {"ref": "tharushipathiranage/titanic-neural-network-for-beginners", "kernel_id": "82407660"}, {"ref": "fatmagulkadioglu/ensemble-learning-on-titanic-data", "kernel_id": "82686128"}, {"ref": "bhanuprakashimmanni/ada-hw", "kernel_id": "82141031"}, {"ref": "harukariku/titanic-xgboost", "kernel_id": "82467058"}, {"ref": "anshumanjaat/titanic-survival-prediction", "kernel_id": "82055843"}, {"ref": "nugrahaagung/titanic-competitions", "kernel_id": "82712429"}, {"ref": "azan489524/titanic-voyage-to-survival-predicting-fate", "kernel_id": "82579782"}, {"ref": "divy108/by-dk-desiontreeclassifier", "kernel_id": "82013708"}, {"ref": "maryammsb/titanic-competition", "kernel_id": "82815930"}, {"ref": "yilinxie1/titanic-ensemble", "kernel_id": "82196091"}, {"ref": "jingyiiiii/titanic", "kernel_id": "82202685"}, {"ref": "nicolaslizarralde/titanic-notebook", "kernel_id": "82370512"}, {"ref": "ashwinipudasaini10/part-2-homework-5", "kernel_id": "82168204"}, {"ref": "luoqiwang619/titanic-with-ensemble", "kernel_id": "82099056"}, {"ref": "adilissatayev/om-hw2", "kernel_id": "82340848"}, {"ref": "longtaochen/titanic-ensemble-tech", "kernel_id": "82195158"}, {"ref": "longtaochen/titanic-ensemble", "kernel_id": "82194314"}, {"ref": "omariand/omar-abubakar-kaggle-titanic-model", "kernel_id": "82920963"}, {"ref": "robschieber/titanic-xgboost", "kernel_id": "82206214"}, {"ref": "mdnaimislam165436/titanic-survival", "kernel_id": "82191110"}, {"ref": "mudasarsabir/titanic-competition-by-ada-boost", "kernel_id": "82105287"}, {"ref": "mudasarsabir/titanic-competition-by-random-forest", "kernel_id": "82047008"}, {"ref": "jiaqichen807/notebookfdd713ccc5", "kernel_id": "82198114"}, {"ref": "urvishahir/titanic-prediction-v1", "kernel_id": "82139571"}, {"ref": "sarthakkbansal/notebook7b2cbaeac7", "kernel_id": "82941877"}, {"ref": "nikita202025/titanic", "kernel_id": "82990560"}, {"ref": "j21saksham/titanic-prediction", "kernel_id": "82038133"}, {"ref": "mariamatefrefaat/logistic-regression", "kernel_id": "82400046"}, {"ref": "busradeveci/titanic-randomforest-v1", "kernel_id": "82822492"}, {"ref": "maneeshkumarengineer/getting-started-with-titanic", "kernel_id": "82369089"}, {"ref": "pushpraj3025/notebook10ca55e11b", "kernel_id": "82664006"}, {"ref": "jacksongee/notebook6c66c3c331", "kernel_id": "82852456"}, {"ref": "youssefismail123/titanic-data-analysis", "kernel_id": "82068308"}, {"ref": "chiranjeebdebata/notebook8912d4be46", "kernel_id": "82645585"}, {"ref": "neodatax/titanic-data-analysis", "kernel_id": "82989513"}, {"ref": "linfengwu19981025/first-try-for-titantic-eda", "kernel_id": "82209589"}, {"ref": "taylor076/newcode", "kernel_id": "82741160"}, {"ref": "nipuniprabodi/titanic-eda-wrangling-imputation", "kernel_id": "82407964"}, {"ref": "hmkkavindi/titanic-neural-network-for-beginners", "kernel_id": "82408311"}, {"ref": "lahari8613/titanic-survival-prediction-using-ml", "kernel_id": "82097797"}, {"ref": "jinbaekl/data-analysis-classification-modeling", "kernel_id": "82034771"}, {"ref": "shamimhasan8/kaggle-titanic", "kernel_id": "82241888"}, {"ref": "manish6974/titanic-ensemblemethod", "kernel_id": "82621078"}, {"ref": "croac1117/titanic-survival-eda", "kernel_id": "82324178"}, {"ref": "bagusbernadi/exercise-arithmetic-and-variables", "kernel_id": "82950709"}, {"ref": "dasistaiden/titanic-project-htw-mpmd", "kernel_id": "82836739"}, {"ref": "aobakwemakole/final-v1", "kernel_id": "82056512"}, {"ref": "goodlucker/titanic", "kernel_id": "82205755"}, {"ref": "mdshakil2003/titanic-machine-learning-from-disaster", "kernel_id": "82002870"}, {"ref": "alexandermaitken/titanic-ml-from-disaster-supervised-learning", "kernel_id": "82306152"}, {"ref": "meahadihasan/titanic-strategies-to-handle-missing-values", "kernel_id": "82040272"}, {"ref": "saziii/titanic-machine-learning-from-disaster", "kernel_id": "82715236"}, {"ref": "hatakoohatanaka/getting-started-with-titanic", "kernel_id": "82109436"}, {"ref": "burakakif/titanika-klamal", "kernel_id": "82833180"}, {"ref": "elsayedabdella/titanic-dataset-analysis-preprocessing", "kernel_id": "82004990"}, {"ref": "leleleonid/titanic-data", "kernel_id": "82095084"}, {"ref": "pabloezequielvarela/pruebatitanic", "kernel_id": "82248454"}, {"ref": "albhertkatik/exercise-arithmetic-and-variables", "kernel_id": "82391946"}, {"ref": "edaeroglu0/titanic-disaster", "kernel_id": "82814908"}, {"ref": "morelnkonga/exercise-arithmetic-and-variables", "kernel_id": "82225559"}, {"ref": "gopalakrishnaniyermk/exercise-arithmetic-and-variables", "kernel_id": "82116231"}, {"ref": "matthewcargill/titanic-first-attempt", "kernel_id": "82138656"}, {"ref": "avkash10/kaggle-model", "kernel_id": "82453379"}, {"ref": "emlynwhite/notebook5307e14259", "kernel_id": "82543609"}, {"ref": "mikebubulka/exercise-arithmetic-and-variables", "kernel_id": "82342752"}, {"ref": "britukk/titanicteste", "kernel_id": "82514341"}, {"ref": "britukk/titanic", "kernel_id": "82366908"}, {"ref": "kaionbrandolima/titanic-grupo-ucb", "kernel_id": "82365238"}, {"ref": "hjjbfhffn/titanic-tutorial-real", "kernel_id": "82610112"}, {"ref": "abdurrahman1746/titanic-strategies-to-handle-missing-values", "kernel_id": "82497678"}, {"ref": "vasimsheriff/titanic-randomforest-w-processed-data", "kernel_id": "82576188"}, {"ref": "prvnkani/titanic-strategies-to-handle-missing-values", "kernel_id": "82596229"}, {"ref": "prvnkani/taitanic", "kernel_id": "82596120"}, {"ref": "amirabeti/titanic-notebook", "kernel_id": "82799711"}, {"ref": "chrisjamescox/chris-titanic-experiment", "kernel_id": "82654721"}, {"ref": "tingweipu123/titanic-da-hw5", "kernel_id": "82759227"}, {"ref": "tingweipu123/titanic-da-hw5-trang", "kernel_id": "82746522"}, {"ref": "hialen/getting-started-with-titanic", "kernel_id": "82909936"}, {"ref": "rajiasultanagssc/titanic-survival-prediction", "kernel_id": "82937908"}, {"ref": "javierph/titanic-from-feature-engineering-to-final-model", "kernel_id": "83059490"}, {"ref": "sdminer/titanic-kaggle-competition", "kernel_id": "83424980"}, {"ref": "ahmadhassan061/lec-3-nn-scratch", "kernel_id": "83216685"}, {"ref": "rajeshkumarkarra/exercise-arithmetic-and-variables", "kernel_id": "83372511"}, {"ref": "lucky1234/titanic", "kernel_id": "83283216"}, {"ref": "jgsm00/titanic", "kernel_id": "83684101"}, {"ref": "dynamo14324/titanic-survival-prediction", "kernel_id": "83684664"}, {"ref": "yuvrajdeshmukh/titanic-project-using-xgboost-93", "kernel_id": "83929658"}, {"ref": "adityakrishnavamsy/use-explainable-ai-xai-techniques-shap-lime", "kernel_id": "83160205"}, {"ref": "aagambshah/titanic-prediction-model", "kernel_id": "83731122"}, {"ref": "tarequebasharovi/titanic-prediction-ovi", "kernel_id": "83605753"}, {"ref": "ikopoa/masterclass-1-a-comprehensive-guide-for-eda", "kernel_id": "83776676"}, {"ref": "kareemtaha/titanic-survival-prediction", "kernel_id": "83413851"}, {"ref": "bouazizfortas/titanic-predication-xgboost", "kernel_id": "83940740"}, {"ref": "dingmama/10516", "kernel_id": "83007707"}, {"ref": "invinci24/getting-started-with-titanic", "kernel_id": "83527209"}, {"ref": "kakuteki/tabnet-titanic", "kernel_id": "83849338"}, {"ref": "kakuteki/tabpfn-titanic", "kernel_id": "83885696"}, {"ref": "kyrian330/cnn-0-744", "kernel_id": "83359947"}, {"ref": "elmozamilelamir/randomforestclasshypa", "kernel_id": "83652401"}, {"ref": "heisttokyo/titanic-survival-prediction", "kernel_id": "83374085"}, {"ref": "mhazett/titanic-survival-rate-prediction", "kernel_id": "83333919"}, {"ref": "valeriybel/titanic-first-submission-notebook", "kernel_id": "83428888"}, {"ref": "haoliu4545/exercise-arithmetic-and-variables", "kernel_id": "83579138"}, {"ref": "guhenriquetorres/decision-tree-titanic-ds-gustavo-henrique", "kernel_id": "83533667"}, {"ref": "joonohpark/kaggle-titanic-0520", "kernel_id": "83270448"}, {"ref": "abduazizabduraxmonov/titanic-tutorial", "kernel_id": "83520722"}, {"ref": "abduazizabduraxmonov/data-visualization-on-titanic-dataset", "kernel_id": "83724310"}, {"ref": "abduazizabduraxmonov/titanic-survival-predictions-beginner", "kernel_id": "83867907"}, {"ref": "unokoki/notebook9bd5146bea", "kernel_id": "83707139"}, {"ref": "nathanisong/titanic-competition", "kernel_id": "83567071"}, {"ref": "chansiklee/notebook3dd8e196b6", "kernel_id": "83747869"}, {"ref": "williamervin7/titanic-survival-prediction", "kernel_id": "83138945"}, {"ref": "jaydeepvaishya/notebookaa2091255d", "kernel_id": "83019086"}, {"ref": "jaydeepvaishya/notebookd3e5eb22cc", "kernel_id": "83287203"}, {"ref": "jaydeepvaishya/notebookc7108a7123", "kernel_id": "83211186"}, {"ref": "jaydeepvaishya/notebook2dbea6deea", "kernel_id": "83436302"}, {"ref": "phillipssempeebwa/how-random-forests-really-work", "kernel_id": "83289434"}, {"ref": "sahilmurhekar/session2-supervised-learning", "kernel_id": "83205520"}, {"ref": "maciejszwechlowicz/titanic", "kernel_id": "83859571"}, {"ref": "pradeeplachireddy/titanic-survival-prediction", "kernel_id": "83094644"}, {"ref": "eeisler/decisiontreeexam", "kernel_id": "83251821"}, {"ref": "budiarsana/titanic-fastai-tabular", "kernel_id": "83302439"}, {"ref": "ryanchen1997/titanic-desicion-tree", "kernel_id": "83984859"}, {"ref": "midrees444/chat-gpt-pandas-practice", "kernel_id": "83043183"}, {"ref": "nazliyusufoglu/titanic-pandas", "kernel_id": "83900949"}, {"ref": "dotohoi/notebooke9ae3ae587", "kernel_id": "83745802"}, {"ref": "goldybarar/hassanintial", "kernel_id": "83288856"}, {"ref": "shambhaviijha/titanic", "kernel_id": "83323881"}, {"ref": "h0raiz0n/3-2-lab", "kernel_id": "83337627"}, {"ref": "cajiki18/titanic-ex05", "kernel_id": "83724913"}, {"ref": "happychamp/titanic-prediction-model", "kernel_id": "83650911"}, {"ref": "khushalnirwal/titanicsurvival-decisiontrees", "kernel_id": "83794777"}, {"ref": "kbrayayla/titanic", "kernel_id": "83066413"}, {"ref": "nauvalarya/xgbclassifier", "kernel_id": "83164109"}, {"ref": "marcopace2000/titanic-simple-nn", "kernel_id": "83934027"}, {"ref": "mmanuelam/decision-tree-titanic", "kernel_id": "83735746"}, {"ref": "punyakdei/titanic-survival-prediction", "kernel_id": "83955537"}, {"ref": "yusufbatuhanalgl/randomforestclassifier-titanic", "kernel_id": "83873926"}, {"ref": "giakhanhlvc/nn-for-machine-learning", "kernel_id": "83057906"}, {"ref": "giakhanhlvc/notebook93eab8ee3c", "kernel_id": "83699151"}, {"ref": "eladsz/titanic-survival-prediction-logistic-regress", "kernel_id": "83558427"}, {"ref": "mfadlika/ml-titanic", "kernel_id": "83676034"}, {"ref": "siyixiang/notebook4e82088574", "kernel_id": "83116749"}, {"ref": "siyixiang/notebook97139344d1", "kernel_id": "83139066"}, {"ref": "midhungouthamm/getting-started-with-titanic", "kernel_id": "83209074"}, {"ref": "safin2907/titanic-survival-prediction-using-random-forest", "kernel_id": "83314825"}, {"ref": "nihshu/clt-on-fare-col", "kernel_id": "83790839"}, {"ref": "nihshu/student-t-distribution-on-fare-col", "kernel_id": "83998909"}, {"ref": "xiaoxiongmiao/titanic-competition", "kernel_id": "83077962"}, {"ref": "deepak48/titanic-competition", "kernel_id": "83060069"}, {"ref": "talhayldz/titanic-survival-prediction", "kernel_id": "83251716"}, {"ref": "ferideuum/first", "kernel_id": "83601071"}, {"ref": "ferideuum/second", "kernel_id": "83602259"}, {"ref": "chiragsharma1201/titanic-dataset", "kernel_id": "83369116"}, {"ref": "muntasirbanna/titanic-prediction-ovi", "kernel_id": "83739014"}, {"ref": "mtscoptor/titanic", "kernel_id": "83546370"}, {"ref": "annarose14/titanic-survival-prediction", "kernel_id": "83898301"}, {"ref": "iriswang6666/titanic-a-complete-approach-for-data-scientists", "kernel_id": "83586227"}, {"ref": "sravyavaranasi/data-science-club-gm-7-activity", "kernel_id": "83210357"}, {"ref": "abdeldjalilbahloul/titanic-surviving-model-svm", "kernel_id": "83157957"}, {"ref": "laibaahsan12/notebook8cc5b330a0", "kernel_id": "83578514"}, {"ref": "hemilsoni12/exercise-arithmetic-and-variables", "kernel_id": "83393500"}, {"ref": "skullagos5246/titanic-competition-notebook-2", "kernel_id": "83877813"}, {"ref": "skullagos5246/titanic-competition-notebook", "kernel_id": "83652255"}, {"ref": "vaibhavsoni11121/titanic", "kernel_id": "83439914"}, {"ref": "chatarinayuli2024/titanic-survival-predictions-beginner", "kernel_id": "83389378"}, {"ref": "csarapariciocrespo/ciencia-de-dades", "kernel_id": "83117369"}, {"ref": "marpinipavansrikar/titanic-disaster-survival", "kernel_id": "83375342"}, {"ref": "mohammedalmasmoum/titanic-survival-prediction-rev-00", "kernel_id": "83614681"}, {"ref": "kimjunseon1997/new-titanic2", "kernel_id": "83287827"}, {"ref": "alscom27/titanic-xgb", "kernel_id": "83307866"}, {"ref": "kla1mzz/logisticregression-titanic", "kernel_id": "83396756"}, {"ref": "kotimi/notebook03441d4008", "kernel_id": "83912793"}, {"ref": "nataliasirt/titanic-v1", "kernel_id": "83252654"}, {"ref": "jeongjaebin/notebook2db9b95b4f", "kernel_id": "83806328"}, {"ref": "yexuefeng/linear-model-and-neural-net-from-scratch", "kernel_id": "83269564"}, {"ref": "shimheeseong/notebook099e7cdfbe", "kernel_id": "83775731"}, {"ref": "manish6974/standard-ml", "kernel_id": "83603574"}, {"ref": "liormalul/notebookbfdacfa7ce", "kernel_id": "83822584"}, {"ref": "seowataru/05kadai-25rmd31", "kernel_id": "83695056"}, {"ref": "mizzn0/2025aai-06exa3", "kernel_id": "83993388"}, {"ref": "mizzn0/2025ai-06exa2", "kernel_id": "83992851"}, {"ref": "negishi24rmd33/notebook2f9ab6a1a8", "kernel_id": "83990749"}, {"ref": "yamauchiyuta0718/2025aai-06exa3", "kernel_id": "83986581"}, {"ref": "kanta12343/ex7-a", "kernel_id": "83992416"}, {"ref": "reijikato/ex05a", "kernel_id": "83598455"}, {"ref": "yukino0420/2025aai-06exa", "kernel_id": "83985262"}, {"ref": "karthikaramalingam/exploratory-data-analysis", "kernel_id": "83499611"}, {"ref": "prottoy3182/prottoy", "kernel_id": "83719193"}, {"ref": "luizgfrancisco/note-do-titanic", "kernel_id": "83627434"}, {"ref": "yusaku86/ex05a", "kernel_id": "83697872"}, {"ref": "muzammalihsan/knn-algorithm", "kernel_id": "83688155"}, {"ref": "sergenduman/titanic-new", "kernel_id": "83039518"}, {"ref": "pramodkumaryada/exercise-arithmetic-and-variables", "kernel_id": "83031054"}, {"ref": "hayo87/titanic-three-models", "kernel_id": "83050694"}, {"ref": "gideonaddo/titanic", "kernel_id": "83071199"}, {"ref": "justcode1/titanic", "kernel_id": "83084160"}, {"ref": "jenileechen/tutorial-titanic", "kernel_id": "83195408"}, {"ref": "bartlomiejdrosik/titanic-survival-prediction", "kernel_id": "83336144"}, {"ref": "deyvidnbs/notebook0e6be19e28", "kernel_id": "83135950"}, {"ref": "abhishek3740/abhishek", "kernel_id": "83165834"}, {"ref": "tanveermuntaseer/titanic", "kernel_id": "83912884"}, {"ref": "kaiqueluan/titanic-kaique", "kernel_id": "83243474"}, {"ref": "rustyprime/notebook84931ee72d", "kernel_id": "83457432"}, {"ref": "t0sborn/holy-v1", "kernel_id": "83503184"}, {"ref": "shuobin/titanic-to-upgrade", "kernel_id": "83949996"}, {"ref": "nishtha711/titanic-survival-prediction-eda-lightgbm", "kernel_id": "83382230"}, {"ref": "clutchf3x/notebooka7644751cd", "kernel_id": "83317265"}, {"ref": "noorjehan20/titanic-survival-prediction20", "kernel_id": "83610342"}, {"ref": "ehtasham90/titanic-survival-with-rf-pipeline", "kernel_id": "83323637"}, {"ref": "qindamoni/titanic-qindamoni", "kernel_id": "83879216"}, {"ref": "levynoa/titanic-tutorial", "kernel_id": "83505806"}, {"ref": "thesxk/titanik", "kernel_id": "83408662"}, {"ref": "abdirahmanabdullah/masterclass-1-a-comprehensive-guide-for-eda", "kernel_id": "83994374"}, {"ref": "fukuyutaka/randomforest-for-titanic-with-r", "kernel_id": "83855952"}, {"ref": "atulhmakwana/1-arith-ahm", "kernel_id": "83642244"}, {"ref": "ismailameer/it-is-titanic-back-to-titanic", "kernel_id": "83540389"}, {"ref": "stillalivee/titanic-notebook-kaggle-competation", "kernel_id": "83703298"}, {"ref": "miriammutize/notebook9e1a59e882", "kernel_id": "83664555"}, {"ref": "tanihal/titanic-randomforestclassifier-3", "kernel_id": "83992049"}, {"ref": "mwisenezaange/who-survived-the-titanic-a-data-exploration", "kernel_id": "83729692"}, {"ref": "edwardarani/titanic-data-science-tutorial", "kernel_id": "83798227"}, {"ref": "andreipuscas0/getting-started-with-titanic", "kernel_id": "83811834"}, {"ref": "andreipuscas0/titanic-final-better-version", "kernel_id": "83813553"}, {"ref": "hemajitpatel/titanic-hem", "kernel_id": "83930288"}, {"ref": "marlipie/titanic-my-first-ml-project-v2", "kernel_id": "83880173"}, {"ref": "sujeetkumarmaurya452/exercise-arithmetic-and-variables", "kernel_id": "83865109"}, {"ref": "baibhavpaudel7/titanic-survival-prediction", "kernel_id": "83927915"}, {"ref": "simonsara/getting-started", "kernel_id": "83958216"}, {"ref": "ericschles/titanic-tutorial", "kernel_id": "84298566"}, {"ref": "ahmadhassan061/lec6-fastai-rf-1", "kernel_id": "84006476"}, {"ref": "ahmadhassan061/lec6-fastai-rf-2", "kernel_id": "84076719"}, {"ref": "saurabhba/titanic-machine-learning", "kernel_id": "84232540"}, {"ref": "movich/tp1-ml-fmt2025", "kernel_id": "84073880"}, {"ref": "stpeteishii/titanic-simple-lgbm-with-fold", "kernel_id": "84292801"}, {"ref": "kasmol/titanic-exploratory-data-analysis", "kernel_id": "84213486"}, {"ref": "skharkia/siddhi-getting-started-with-titanic", "kernel_id": "84191685"}, {"ref": "sakshiepathak/titanic-machine-learning-from-disaster", "kernel_id": "84009580"}, {"ref": "subhangaupadhaya/mnist-97", "kernel_id": "84077096"}, {"ref": "subhangaupadhaya/titanic-classifier", "kernel_id": "84170950"}, {"ref": "dynamo14324/titanic-grandmaster-analysis", "kernel_id": "84718425"}, {"ref": "dynamo14324/titanic-survival-prediction-notebook", "kernel_id": "84719236"}, {"ref": "dynamo14324/titanic-eda-and-prediction-notebook-v1", "kernel_id": "84919718"}, {"ref": "dynamo14324/titanic-survival-prediction-simple", "kernel_id": "84776445"}, {"ref": "pola1234/titanicchallenge", "kernel_id": "84754291"}, {"ref": "gilberttarus/titanic-exploratory-data-analysis", "kernel_id": "84098193"}, {"ref": "pedrohnunes/titanicanalysis", "kernel_id": "84762040"}, {"ref": "bouazizfortas/titanic-survival-prediction-with-random-forest", "kernel_id": "84100441"}, {"ref": "lichtgestalter/another-take-on-titanic", "kernel_id": "84203484"}, {"ref": "gouthamigokul/first-notebook-titanic-survival-prediction", "kernel_id": "84299656"}, {"ref": "petermoorhouse/sklearn-passenger-survival-on-the-titanic", "kernel_id": "84868152"}, {"ref": "elmozamilelamir/svm-without-tuning", "kernel_id": "84201123"}, {"ref": "muntasiradnan/ml-colab", "kernel_id": "84407835"}, {"ref": "spaceecole/week-3-eda", "kernel_id": "84263673"}, {"ref": "thuandao/titanic-eda-ml", "kernel_id": "84902011"}, {"ref": "amidudabor/titanic-dataset-eda5", "kernel_id": "84355950"}, {"ref": "veranziverah/eda-for-the-titanic-dataset", "kernel_id": "84017640"}, {"ref": "sabetm/eda-on-titanic", "kernel_id": "84051466"}, {"ref": "sruthisundar2/notebookba89be1d38", "kernel_id": "84933491"}, {"ref": "murangirimaron/titanic-dataset-exploratory-data-analytics", "kernel_id": "84137236"}, {"ref": "joyglory/eda-titanic", "kernel_id": "84304596"}, {"ref": "alisarpsunay/titanic-survival-prediction-logistic-regression", "kernel_id": "84550064"}, {"ref": "kureeltanishq/titanic-survival-76-accuracy", "kernel_id": "84645850"}, {"ref": "kamepiano/best-titanic", "kernel_id": "84428627"}, {"ref": "rukuri/2025aai-06exa3", "kernel_id": "84054329"}, {"ref": "unokoki/202506023", "kernel_id": "84207966"}, {"ref": "unokoki/202506021", "kernel_id": "84183985"}, {"ref": "kyosuke0/2025aai-06ex", "kernel_id": "84048648"}, {"ref": "cliosilva/titanic-machine-learning-from-disaster", "kernel_id": "84616306"}, {"ref": "jibonk/titanic-logistic-regrssion", "kernel_id": "84064686"}, {"ref": "michealeafaustine/titanic-logistic-regression", "kernel_id": "84939743"}, {"ref": "judeoluya/masterclass-1-a-comprehensive-guide-for-eda", "kernel_id": "84291756"}, {"ref": "josefuentes1/titanic-survival-favored-kids-and-ladies", "kernel_id": "84036418"}, {"ref": "yuukikawai/notebook054c2cb2c9", "kernel_id": "84182159"}, {"ref": "aldidudifa/titanic-competition", "kernel_id": "84474182"}, {"ref": "sotaaoki/notebookeed0ecbae5", "kernel_id": "84180577"}, {"ref": "fonocolince/titanic", "kernel_id": "84129173"}, {"ref": "sinamd/python-for-data-14-data-exploration-and-cleaning", "kernel_id": "84252401"}, {"ref": "youngsunjoung/titanic", "kernel_id": "84490835"}, {"ref": "fabiuslihanda/titanic-exploratory-data-analysis", "kernel_id": "84151997"}, {"ref": "nitinmuragi/exercise-arithmetic-and-variables", "kernel_id": "84519128"}, {"ref": "amerhu/bert-in-titanic", "kernel_id": "84432245"}, {"ref": "danielnzioki/exploratory-data-analysis-using-titanic-dataset-cy", "kernel_id": "84263513"}, {"ref": "sheepsleep/2025aai-06exa3", "kernel_id": "84211859"}, {"ref": "suzukitakumi/2025aai-06exa3", "kernel_id": "84182539"}, {"ref": "rikiuchida/aaaaaaa", "kernel_id": "84148078"}, {"ref": "datascientist97/titanic-simple-decision-tree-model-score-top-3", "kernel_id": "84148489"}, {"ref": "denisndemwa/denis-ndemwa-cs-da01-eda", "kernel_id": "84183706"}, {"ref": "denisndemwa/denis-ndemwa-cs-da01-25056-exploratory-data-ana", "kernel_id": "84062212"}, {"ref": "recepgk/titanic-ml-comprehensive-eda", "kernel_id": "84996844"}, {"ref": "aditisinghh/submission-csv", "kernel_id": "84058385"}, {"ref": "janeniej/titanic-the-only-notebook-you-need-to-see", "kernel_id": "84058712"}, {"ref": "anamjamal/titanic-survival-prediction", "kernel_id": "84226790"}, {"ref": "dorinelilian/titanic-ml", "kernel_id": "84275866"}, {"ref": "jeuss385/py-t1-1-iqr-expected-questions", "kernel_id": "84070182"}, {"ref": "ameennio/getting-started-with-titanic", "kernel_id": "84208008"}, {"ref": "printon/printon-oduki-titanic-explaratory-data-analysis", "kernel_id": "84140024"}, {"ref": "sachinkumar346/titanic-random-forest-method", "kernel_id": "84792317"}, {"ref": "liusunju/titanic-machine-learning-for-begginer", "kernel_id": "84007990"}, {"ref": "reaganodhiambootieno/eda-titanic-case-study", "kernel_id": "84103847"}, {"ref": "nkek19/titanic", "kernel_id": "84296688"}, {"ref": "chirusainandareddy/titanic-machine-learning-from-disaster-eda", "kernel_id": "84579980"}, {"ref": "zaritron/notebookb06e31b990", "kernel_id": "84714695"}, {"ref": "gaolinghang/titannic", "kernel_id": "84270868"}, {"ref": "perkiee/titanic-dataset-eda", "kernel_id": "84118695"}, {"ref": "lordbunny/titanic-com2-0", "kernel_id": "84288703"}, {"ref": "lordbunny/titanic-com2-1", "kernel_id": "84372853"}, {"ref": "cajiki18/titanic-ex06c", "kernel_id": "84133907"}, {"ref": "zxh889900/titanic-prediction-0-794-score-d610d8", "kernel_id": "84283411"}, {"ref": "zhuchengzhi/titanic-data-science-solutions", "kernel_id": "84295331"}, {"ref": "gdy0325/01-titanic", "kernel_id": "84281467"}, {"ref": "starwen/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "84295890"}, {"ref": "starwen/titanic-competition-w-tensorflow-decision-f8c7ec", "kernel_id": "84314019"}, {"ref": "pmy666/2025pmy666", "kernel_id": "84269140"}, {"ref": "isaaclopgu/titanic-v1-logistic-regression-76", "kernel_id": "84734588"}, {"ref": "nxy123/a-data-science-framework-to-achieve-99-accuracy", "kernel_id": "84288136"}, {"ref": "weilankongbai/titanic-zhang", "kernel_id": "84298910"}, {"ref": "mengye2b/titanic-prediction-0-794-score", "kernel_id": "84278432"}, {"ref": "yangfuong/fork-of", "kernel_id": "84293657"}, {"ref": "yangfuong/80-in-titanic-dataset-using-random-forests", "kernel_id": "84273390"}, {"ref": "wangjiaxin2022/abcde", "kernel_id": "84265712"}, {"ref": "snd072/2025aai-06exa3", "kernel_id": "84134418"}, {"ref": "SrijanSiddharth/titanic-machine-learning-from-disaster", "kernel_id": "84295468"}, {"ref": "davieduardomiranda/estudos-do-titanic", "kernel_id": "84969586"}, {"ref": "komody/2025aai-06exa3", "kernel_id": "84155141"}, {"ref": "chandrikachavva/titanic-dataset", "kernel_id": "84388981"}, {"ref": "kelvinngetich/notebook65929f407b", "kernel_id": "84687837"}, {"ref": "elenaryashchentceva/titani", "kernel_id": "84379187"}, {"ref": "ricsonramos/titanic-machine-learning-from-disaster", "kernel_id": "84036949"}, {"ref": "mllion/electric-power-consumption-ml-models", "kernel_id": "84775905"}, {"ref": "umarabdulalim/decision-tree-titanic", "kernel_id": "84598976"}, {"ref": "umarabdulalim/logistic-regression-titanic", "kernel_id": "84599370"}, {"ref": "umarabdulalim/random-forest-titanic", "kernel_id": "84598457"}, {"ref": "naomijepkorir/masterclass-1-a-comprehensive-guide-for-ed-dc762e", "kernel_id": "84189849"}, {"ref": "junaiddata35/decoding-titanic-an-ai-powered-journey-into-su", "kernel_id": "84711638"}, {"ref": "jaskeeratk/titanic", "kernel_id": "84810114"}, {"ref": "anshulsingh19/titanic-classification-problem", "kernel_id": "84495205"}, {"ref": "manassinghal111/titanic-the-only-notebook-you-need-to-see", "kernel_id": "84062102"}, {"ref": "harshlakyan/titanic", "kernel_id": "84952857"}, {"ref": "lakshyathakur2403/titanic-submission", "kernel_id": "84956463"}, {"ref": "muhammadwaqas023/titanic-logistic-regression-analysis", "kernel_id": "84184404"}, {"ref": "teddyglass/kaggle-tutorial-250609-titanic", "kernel_id": "84397247"}, {"ref": "vinayakvivekjoshi/notebook233324607a", "kernel_id": "84808427"}, {"ref": "ahmaddanyal347/titanic-survival-prediction", "kernel_id": "84692032"}, {"ref": "themaverick1606/titanic-dataset-cleaning", "kernel_id": "84284900"}, {"ref": "tamillymenezes/desafio-kaggle-titanic-at2-n2", "kernel_id": "84940697"}, {"ref": "nameany/notebook1", "kernel_id": "84913340"}, {"ref": "ingridbonifacio/desafiotitanic-ingridbonifacio", "kernel_id": "84989047"}, {"ref": "dakshbhatnagar08/titanic-top-score", "kernel_id": "84805500"}, {"ref": "carterppp/titanic-code-svm-classifier", "kernel_id": "84918499"}, {"ref": "janishpatle/titanic-machine-learning-from-disaster", "kernel_id": "84182538"}, {"ref": "arshianashamir/titanic-advanced-feature-engineering-tutorial", "kernel_id": "84410403"}, {"ref": "harshinijeyaraj/titanic-logist", "kernel_id": "84593252"}, {"ref": "kingshukpal/titaniccompetition", "kernel_id": "84126817"}, {"ref": "mouzounasamir/titanic-survival-analysis-ipynb", "kernel_id": "84913579"}, {"ref": "muhamadherman/getting-started-with-titanic", "kernel_id": "84735598"}, {"ref": "shardulsalodkar/titanic-eda", "kernel_id": "84813159"}, {"ref": "ishankrishkumar/titanic", "kernel_id": "84655946"}, {"ref": "adnanzamanniloy/titanic-survival-prediction", "kernel_id": "84152127"}, {"ref": "diwakarmishra29/titanic-survival-model", "kernel_id": "84035658"}, {"ref": "muhammadbilalawais30/exercise-arithmetic-and-variables", "kernel_id": "84985531"}, {"ref": "mrpikachuuu/titanic-machine-learning", "kernel_id": "84157736"}, {"ref": "anandnandyala/notebook1", "kernel_id": "84642866"}, {"ref": "achilov15/titanic-classifier", "kernel_id": "84615346"}, {"ref": "adonijahkiplimo/adonijah-kiplimo-ed-assignment", "kernel_id": "84087543"}, {"ref": "naregkaggle/titanic-notebook", "kernel_id": "84844870"}, {"ref": "val101/titanic-survival-prediction-using-machine-learning", "kernel_id": "84905051"}, {"ref": "diegorossprice/titanic-competition", "kernel_id": "84021162"}, {"ref": "kabachii/logistic-regresion", "kernel_id": "84738855"}, {"ref": "mykhailoyankovchuk/individual-assignment-on-osa", "kernel_id": "84955142"}, {"ref": "abdulrehmanchatha/exercise-arithmetic-and-variables", "kernel_id": "84515230"}, {"ref": "sualehaurooj/cs-da01-25051-titanic-dataset", "kernel_id": "84709576"}, {"ref": "altuntasmehmet/getting-started-with-titanic", "kernel_id": "84512962"}, {"ref": "waymanblue/06exa3", "kernel_id": "84216804"}, {"ref": "vladd0s/titanic-age-random-forest-model-mae-9-22", "kernel_id": "84034109"}, {"ref": "weikiyan/notebookf726aee984", "kernel_id": "84051416"}, {"ref": "lhtntbu/homework2", "kernel_id": "84052811"}, {"ref": "sakonyuya/titanic1", "kernel_id": "84692192"}, {"ref": "duckduckshiba/2025aai-06exa3", "kernel_id": "84203840"}, {"ref": "oleandersunflower/titanic-predicting-survival", "kernel_id": "84199902"}, {"ref": "seowataru/06-kadai-03-titanic", "kernel_id": "84099569"}, {"ref": "seowataru/07-kadai", "kernel_id": "84728778"}, {"ref": "pigpork/06exercises3", "kernel_id": "84125028"}, {"ref": "sahara1227/notebook3389d70217", "kernel_id": "84087108"}, {"ref": "koyatamari/notebook4f2f84836b", "kernel_id": "84199051"}, {"ref": "gucci711/notebook7c859072a6", "kernel_id": "84217447"}, {"ref": "taikikaramushizawa/2025aai-06exa3", "kernel_id": "84220683"}, {"ref": "ssssmd/notebook5da2a21400", "kernel_id": "84150076"}, {"ref": "tsuyoshifukushima/2025aai-06exa3", "kernel_id": "84057247"}, {"ref": "kitaaa1223/2025aai-06exa3-ipynb", "kernel_id": "84187257"}, {"ref": "wangyifei9988/notebook8bb2a027f8", "kernel_id": "84200975"}, {"ref": "akamaruuuussssss2/notebook916c63fe53", "kernel_id": "84190068"}, {"ref": "masato0207/2025aai-06exa3", "kernel_id": "84203800"}, {"ref": "reijikato/2025aai-06exa3", "kernel_id": "84157657"}, {"ref": "sokita4/25rmd08-2025aai-06exa3", "kernel_id": "84050151"}, {"ref": "xiangli1986/titanic-and-the-people-who-speak-up", "kernel_id": "84753622"}, {"ref": "nakazawayuuto/ex6a-5-25rmd44", "kernel_id": "84084911"}, {"ref": "davidmartimar/titanic-end-to-end-classification-model-kaggle-s", "kernel_id": "84063573"}, {"ref": "davidmartimar/titanic-final-notebook", "kernel_id": "84072716"}, {"ref": "ktaimp/2025aai-06exa3", "kernel_id": "84129864"}, {"ref": "yusaku86/ex6a3", "kernel_id": "84199574"}, {"ref": "deriki/6-3-25rmd40", "kernel_id": "84117198"}, {"ref": "yanaseyukio/06exa3", "kernel_id": "84007683"}, {"ref": "jawadshakhatreh/notebook06fbcde208", "kernel_id": "84091398"}, {"ref": "aravinthsa/aravinth-titanic-eda-prediction", "kernel_id": "84877485"}, {"ref": "rachelmuriuki/eda-titanic", "kernel_id": "84260340"}, {"ref": "lliuhaoran/homework1", "kernel_id": "84704395"}, {"ref": "martinruchtein/titanic-martin-ruchtein", "kernel_id": "84448832"}, {"ref": "aditya08123/learning-logistic-regression", "kernel_id": "84956460"}, {"ref": "kirliankitzinger/titanicanalysis", "kernel_id": "84999715"}, {"ref": "nikhileshsirohi/titanic-machine-learning-from-disaster", "kernel_id": "84630356"}, {"ref": "rafarodriguez19/titanic-machine-learning", "kernel_id": "84245815"}, {"ref": "eceemgunay/titanic-analysis-with-seaborn", "kernel_id": "84650002"}, {"ref": "gsfigueredo/desafio-titanic", "kernel_id": "84968793"}, {"ref": "anrodon/titanic-machine-learning-from-disaster", "kernel_id": "84831449"}, {"ref": "danilerofeev/randomforest-eda", "kernel_id": "84654161"}, {"ref": "sadeepdilshan/titanic-machine-learning-from-disaster", "kernel_id": "84626609"}, {"ref": "jasperwambugu/notebookc4dea8b469", "kernel_id": "84158528"}, {"ref": "riddhimaiti/titanic-ml-using-logistic-regression", "kernel_id": "84561597"}, {"ref": "carinysaldanha/notebookcarinysaldanha", "kernel_id": "84965202"}, {"ref": "ianchinn/titanic-competiton-book", "kernel_id": "84975672"}, {"ref": "jenileechen/k-neighbors-classification-titanic", "kernel_id": "84452017"}, {"ref": "me0hu0l/titanic-ml-from-disaster", "kernel_id": "84066645"}, {"ref": "eminfaruktrksever/titanic-eda", "kernel_id": "84014028"}, {"ref": "andrewabila/titanic-dataset-exploratory-data-analysis", "kernel_id": "84314568"}, {"ref": "bethshebachepkirui/data-eda", "kernel_id": "84099187"}, {"ref": "shirleensimon/titanic-dataset-eda-project-shirleen", "kernel_id": "84081466"}, {"ref": "leslinecheptoo/titanic-machine-learning-lesline-nb", "kernel_id": "84406208"}, {"ref": "maikaramogusu/titanic-data-eda", "kernel_id": "84121912"}, {"ref": "jamesndarila/eda-james-ndarila-assignment-3", "kernel_id": "84268077"}, {"ref": "dancanmburu/titanic-eda-by-dancan-mburu", "kernel_id": "84129517"}, {"ref": "sayyidziyadten/cp3403-5634-prac3-v2025b", "kernel_id": "84697576"}, {"ref": "lijunzihao/cp3403-5634-prac3-v2025b", "kernel_id": "84271630"}, {"ref": "kiprotichsang/titanic-eploratory-data-analysis", "kernel_id": "84225650"}, {"ref": "njugunadorcas/dorcas-njuguna-titanic-exploratory-data-analysis", "kernel_id": "84275549"}, {"ref": "sylviashee/titanic-eda-assignment", "kernel_id": "84246159"}, {"ref": "jacklinenthuli/titanic-eda-project-jackie", "kernel_id": "84192981"}, {"ref": "jedidahwavinya/titanic-case-studyeda", "kernel_id": "84093789"}, {"ref": "kanyuku/titanic-eda-cs-da01-25092", "kernel_id": "84947173"}, {"ref": "joyviolet/titanic-dataset", "kernel_id": "84162661"}, {"ref": "uelkariuki/uel-kariuki-eda-titanic", "kernel_id": "84088631"}, {"ref": "janenyaguthii/titanic-data-exploration", "kernel_id": "84201128"}, {"ref": "janenyaguthii/fork-of-titanic-data-exploration", "kernel_id": "84642344"}, {"ref": "kelvinkipchirchir/masterclass-1-a-comprehensive-guide-for-eda", "kernel_id": "84224191"}, {"ref": "mundiamercy/titanic-exploratory-dataanalysist", "kernel_id": "84065039"}, {"ref": "madalineomollo/cs-da01-25051-titanic-dataset", "kernel_id": "84693865"}, {"ref": "piusangatia/eda-for-titanic-dataset", "kernel_id": "84262477"}, {"ref": "tanihal/titanic-xgbclassifier-1", "kernel_id": "84267236"}, {"ref": "milapgohil/titanic-decisiontreeclassifier", "kernel_id": "84745177"}, {"ref": "jamescollinsotieno/masterclass-1-a-comprehensive-guide-for-eda", "kernel_id": "84231372"}, {"ref": "faithmumbua/exploratory-data-analysis-on-the-titanic-dataset", "kernel_id": "84271163"}, {"ref": "edahchepngetich/titanic-eda-analy-1-a-comprehensive-guide-for-eda", "kernel_id": "84318291"}, {"ref": "inorita/class-demo", "kernel_id": "84299473"}, {"ref": "bellagvg/panda-chain", "kernel_id": "84462201"}, {"ref": "bellagvg/pandas-chain-cmmet", "kernel_id": "84471409"}, {"ref": "why511/notebook7756de5428", "kernel_id": "84077007"}, {"ref": "kathykarr/homework-3", "kernel_id": "84469614"}, {"ref": "gnaneshgunda/notebook9aca68d3ce", "kernel_id": "84763401"}, {"ref": "pratikkumarverma/titanic", "kernel_id": "84584362"}, {"ref": "clearsight123/titanic-the-only-notebook-you-need-to-see-9673c7", "kernel_id": "84067528"}, {"ref": "hosseinbolouri1996/titanic-kaggle-hossein-bolouri", "kernel_id": "84148037"}, {"ref": "serbancosminn/cosmins-titanic-victims-v4", "kernel_id": "84090799"}, {"ref": "unudev/my-first-kaggle-participation", "kernel_id": "84120672"}, {"ref": "chowdhury0987/titanic-machine-learning-from-disaster", "kernel_id": "84184919"}, {"ref": "philipphoellmer/notebookabf9b12166", "kernel_id": "84247134"}, {"ref": "richardgielink/titanicml", "kernel_id": "84181588"}, {"ref": "mohamedaamer867/titanic", "kernel_id": "84185995"}, {"ref": "bruhboii0810/titanic", "kernel_id": "84507619"}, {"ref": "aditya162003/titanic-stacking", "kernel_id": "84717668"}, {"ref": "zahinahmedtapadar/titanic-kera-model", "kernel_id": "84503634"}, {"ref": "jerry088/exercise-arithmetic-and-variables", "kernel_id": "84558212"}, {"ref": "jiuxiangxiao/assignment2", "kernel_id": "84590919"}, {"ref": "yagami316/titanic", "kernel_id": "84579584"}, {"ref": "zhangshiman/titanic", "kernel_id": "84597481"}, {"ref": "anushkashrmaa/titanic-machine-learning-from-disaster", "kernel_id": "84920917"}, {"ref": "danieldaza2901/titanic", "kernel_id": "84723368"}, {"ref": "hrithikkumar160606/test-run", "kernel_id": "84912960"}, {"ref": "adenilsonalves/trabalhonotebookmalvezzy", "kernel_id": "84915415"}, {"ref": "caykyemilio/desafio-titanic-cayky-emilio", "kernel_id": "84970193"}, {"ref": "caykyemilio/desafio-titanic-cayky-emilio-ucb", "kernel_id": "84972202"}, {"ref": "jaydenjurianto/titanic-prediction-with-baseline-rf", "kernel_id": "84858445"}, {"ref": "adrianolazarosilva/projeto-titanic-adriano-lazaro", "kernel_id": "84881585"}, {"ref": "mizkag/did-adan-survived-titanic", "kernel_id": "84909528"}, {"ref": "yuodajima/titanic-myfirstkaggle", "kernel_id": "84972038"}, {"ref": "suvitkumartu3658/titanic-the-only-notebook-you-need-to-see", "kernel_id": "84948822"}, {"ref": "premchandjoshi/titanic-the-only-notebook-you-need-to-see", "kernel_id": "84949025"}, {"ref": "manmeetsingh19/titanic-tutorial", "kernel_id": "84953454"}, {"ref": "manmeetsingh19/titanic-machine-learning-from-disaster-bfe146", "kernel_id": "84953752"}, {"ref": "anureetkaurcheema/titanicnb", "kernel_id": "84954936"}, {"ref": "bhavyakheni/notebookc3171a2889", "kernel_id": "84966676"}, {"ref": "alonsovargas/titanic-ml-competition", "kernel_id": "85477021"}, {"ref": "natasshas/pandas-ai-titanic-survival-prediction-tutorial", "kernel_id": "85143833"}, {"ref": "lucifermorningstar0/notebook1d04f08d2e", "kernel_id": "85748238"}, {"ref": "ayekhine/titanic-best-working-classifier", "kernel_id": "85403964"}, {"ref": "zohaib123/building-an-interactive-gui-in-kaggle-with-ipywidg", "kernel_id": "85668846"}, {"ref": "zohaib123/svm-vs-rf-vs-xgboost-vs-gb-the-ultimate-ml-pipel", "kernel_id": "85497841"}, {"ref": "sillyemperor/my-titanic", "kernel_id": "85916569"}, {"ref": "dynamo14324/titanic-grandmaster-solution", "kernel_id": "85117769"}, {"ref": "dynamo14324/titanic-eda-for-grandmaster-journey", "kernel_id": "85164861"}, {"ref": "krishnasalampuriya/eda-on-titanic", "kernel_id": "85332783"}, {"ref": "drmurataltun/titanikverianalizi2025h", "kernel_id": "85292672"}, {"ref": "hanlei11/notebooke75e17263c", "kernel_id": "85348899"}, {"ref": "rikansaha/titanic-survival-prediction-v1-0", "kernel_id": "85094706"}, {"ref": "kofiaduagyekum/titanic-survivors-prediction", "kernel_id": "85431437"}, {"ref": "salahzaher/notebook2dd6ca1361", "kernel_id": "85615783"}, {"ref": "antoniyer/20250619-titaniccodesubmission", "kernel_id": "85435978"}, {"ref": "davidrodriguez2712/titanic-base", "kernel_id": "85912745"}, {"ref": "mangalsanarajkumari/notebookf13db003d7", "kernel_id": "85891568"}, {"ref": "kayaba/titanic-randomforestclassifier", "kernel_id": "85601835"}, {"ref": "tusharbaweja/titanic-survivors", "kernel_id": "85166884"}, {"ref": "dopeng2/titanic-survival-predictions-beginner", "kernel_id": "85708612"}, {"ref": "anishreddy1/survival-prediction", "kernel_id": "85385881"}, {"ref": "talhaberkanterbay1/titanic-competition", "kernel_id": "85435309"}, {"ref": "jahidulzaid/titanic-model", "kernel_id": "85630011"}, {"ref": "weltondionisio/notebook6abdad755c", "kernel_id": "85512419"}, {"ref": "amankch23/titanic", "kernel_id": "85812233"}, {"ref": "lorishourriere/titanic-best-working-classifier", "kernel_id": "85404992"}, {"ref": "gnamblohoulaurine/titanic-best-working-classifier", "kernel_id": "85405155"}, {"ref": "gustavodelacruztovar/using-autogluon", "kernel_id": "85788545"}, {"ref": "apoorvbhandari10/titanic-randomforest", "kernel_id": "85217323"}, {"ref": "mariogemoll/notebookb0632ded43", "kernel_id": "85552442"}, {"ref": "antonylebedev/titanic-using-rf-gb-classifiers-xgboost", "kernel_id": "85790365"}, {"ref": "zhangruyi108/titanic-simple-interaction", "kernel_id": "85472401"}, {"ref": "jollyreap/titantic-with-svm", "kernel_id": "85860493"}, {"ref": "kourzik/titanic-best-working-classifier", "kernel_id": "85542145"}, {"ref": "soumyarajchatterjee/titanic-ml-prediction-model", "kernel_id": "85057154"}, {"ref": "danielmuraddefreitas/modelo-titanic-murad", "kernel_id": "85869196"}, {"ref": "ayasamirabdelhalim/titanic-explanation", "kernel_id": "85035774"}, {"ref": "fadzwanashriq/pyspark-notes", "kernel_id": "85679657"}, {"ref": "redfoxartist/titanic-random-forest", "kernel_id": "85841503"}, {"ref": "xxxzedmy/bayes-and-svm", "kernel_id": "85714108"}, {"ref": "xxxzedmy/mlp-with-pytorch", "kernel_id": "85493560"}, {"ref": "limu7572/titanic", "kernel_id": "85779958"}, {"ref": "robot0x/feature-scaling", "kernel_id": "85185952"}, {"ref": "ivan212/lab-5-2", "kernel_id": "85706825"}, {"ref": "mcubukluoz/data-science-titanic", "kernel_id": "85804840"}, {"ref": "manojpanda199/titanic-model", "kernel_id": "85560529"}, {"ref": "olegkabanov/titanic-eda-predict-oleg-kabanov", "kernel_id": "85264154"}, {"ref": "olegkabanov/catboost-simple-eda", "kernel_id": "85873564"}, {"ref": "pakkapols/titanic-a-ml-prediction-model", "kernel_id": "85470645"}, {"ref": "amandajoywright/titanic-competition-decisiontrees-in-r", "kernel_id": "85703756"}, {"ref": "mananrafiq/titanic-prediction", "kernel_id": "85790089"}, {"ref": "aroshabakhtawar/titanic-easiest-prediction-tutorial", "kernel_id": "85527127"}, {"ref": "mondalarpan/ons-m-rp", "kernel_id": "85857126"}, {"ref": "vikaskumarram/titanic-machine-learning-desired-80", "kernel_id": "85880410"}, {"ref": "cprk87/my-1st-submission", "kernel_id": "85526334"}, {"ref": "khwaishsaxena/titanic-dataset-prediction", "kernel_id": "85547000"}, {"ref": "turakut/titanic-survival-prediction-eda-random-forest", "kernel_id": "85151422"}, {"ref": "hbistechie/ml-model-for-titanic-dataset", "kernel_id": "85561537"}, {"ref": "cartoonistbeard/titanic-decision-tree-classifier", "kernel_id": "85592428"}, {"ref": "sankalptiw/notebooka06647808e", "kernel_id": "85728645"}, {"ref": "nandayadav09/titanic-survival", "kernel_id": "85252335"}, {"ref": "stepan2204/easy-gridcv-randomforrest", "kernel_id": "85689906"}, {"ref": "satishtandle/titanicwithxgboost", "kernel_id": "85001411"}, {"ref": "yukichitamai/notebooke9b25a365d", "kernel_id": "85670742"}, {"ref": "aminehmala/classification-regression-tuto", "kernel_id": "85746025"}, {"ref": "ubaraayuki/notebookd70ceee41d", "kernel_id": "85641455"}, {"ref": "ubaraayuki/notebookfeb34d2021", "kernel_id": "85926419"}, {"ref": "nullslashzer0/titanic-machine-learning-from-disaster", "kernel_id": "85231284"}, {"ref": "ishankrajivpathak/titanic-dataset-eda-survival-prediction", "kernel_id": "85178425"}, {"ref": "hrishikreddygaddam/titanic-prediction-competition", "kernel_id": "85964995"}, {"ref": "jonathanmarinho/titanic-feature-brainstorm", "kernel_id": "85674319"}, {"ref": "dhanapackiyam/exercise-arithmetic-and-variables", "kernel_id": "85249179"}, {"ref": "dhanapackiyam/titanic-survivors", "kernel_id": "85716574"}, {"ref": "anhuinn/ann-pytorch-titanic", "kernel_id": "85808763"}, {"ref": "imsulnetflix/notebook8b6c992bb0", "kernel_id": "85034442"}, {"ref": "yosephayalavalencia/titanic-base-84fa9d", "kernel_id": "85913941"}, {"ref": "kobayashi1013/notebooke173d71263", "kernel_id": "85506266"}, {"ref": "abdullahdatascience/titanic-notebook", "kernel_id": "85531786"}, {"ref": "jaminideenavarughese/titanic-machine-learning-from-disaster", "kernel_id": "85027026"}, {"ref": "khalilakremi/titanic-notebook", "kernel_id": "85229803"}, {"ref": "shotatadokoro/notebook6053aaf3d5", "kernel_id": "85422898"}, {"ref": "dmitryslomov/dmitrys-titanic-notebook", "kernel_id": "85363261"}, {"ref": "swastik2006/titanic-model-benchmark", "kernel_id": "85499297"}, {"ref": "margaretkeu/titanic-competition", "kernel_id": "85476288"}, {"ref": "colinheider/titanic-notebook", "kernel_id": "85407724"}, {"ref": "laurenconnelly/titanic-survivor-prediction", "kernel_id": "85382769"}, {"ref": "jacqhorizon/titanic-competition", "kernel_id": "85376382"}, {"ref": "haiphung07/titanic", "kernel_id": "85393181"}, {"ref": "tiharaliyanage/titanic-tihara-liyanage", "kernel_id": "85019621"}, {"ref": "lduyhi/fork-of-titanic-ml-prediction-with-logistic-reg", "kernel_id": "85645063"}, {"ref": "lduyhi/titanic-ml-prediction-with-logistic-regression", "kernel_id": "85644379"}, {"ref": "edavural/titanic-competition", "kernel_id": "85874349"}, {"ref": "garvitsingh14/filter-based-feature-selection", "kernel_id": "85368564"}, {"ref": "sohilaayman/exercise-arithmetic-and-variables", "kernel_id": "85439986"}, {"ref": "mohamedzakaria91/notebookbb9e56dacc", "kernel_id": "85238007"}, {"ref": "amore1128/notebook539eec7793", "kernel_id": "85531479"}, {"ref": "pbarbadol/titanic-de-eda-a-un-modelo-optimizado-0-84-cv", "kernel_id": "85290017"}, {"ref": "shakhoyatshujon/titanic-a-legendary-dataset-with-modern-insights", "kernel_id": "85611769"}, {"ref": "poornaraavi/notebook3e3bd78d4fd98b7058ad", "kernel_id": "85820721"}, {"ref": "khushiirathod/titanic-83-14-accu-ensemble-bagging-dt", "kernel_id": "85746078"}, {"ref": "blue68/simple", "kernel_id": "85960732"}, {"ref": "youssefkaram222/titanic-machine-learning-from-disaster-logistic", "kernel_id": "85530620"}, {"ref": "str1k3rfl0/titanic-regression", "kernel_id": "85382403"}, {"ref": "resious/titanic-predict-using-r", "kernel_id": "85849678"}, {"ref": "jainshiv/titanic-survival-analysis", "kernel_id": "85821967"}, {"ref": "shalinidehariya/notebook", "kernel_id": "85118514"}, {"ref": "mehtesham/assignment-2-ml-models-from-svm-to-xgboost", "kernel_id": "85128045"}, {"ref": "akazawataku/notebooka65d535864", "kernel_id": "85497491"}, {"ref": "sumitomoyuma/notebook1f5ab004e0", "kernel_id": "85493226"}, {"ref": "omercemtanrikulu/titanic-comparison-of-5-classifiers", "kernel_id": "85617762"}, {"ref": "mrmelvin/titanic-survival-prediction-using-machine-learning", "kernel_id": "85881744"}, {"ref": "qooaoo/getting-started-with-titani", "kernel_id": "85704426"}, {"ref": "nishant0753/fork-of-titanic-survival-prediction", "kernel_id": "85364701"}, {"ref": "bamboonotes/decision-tree-from-scratch-titanic-survival-prd", "kernel_id": "85700548"}, {"ref": "vickey13/titanic-pred", "kernel_id": "85559108"}, {"ref": "preethamthelluri/titanic-100-with-linear-svc", "kernel_id": "85586689"}, {"ref": "anamkhan001/explore-titanic", "kernel_id": "85278721"}, {"ref": "leodasstb/titanic-notebook", "kernel_id": "85228182"}, {"ref": "furkankartal3/titanic", "kernel_id": "85086839"}, {"ref": "poushal02/titanic", "kernel_id": "85609355"}, {"ref": "harshdabhiz/titanic-surv-prediction", "kernel_id": "85130148"}, {"ref": "angbonon/tp-datamining-2025-fouillevisual-seq1", "kernel_id": "85882763"}, {"ref": "naghamsz/clean-titanic", "kernel_id": "85816483"}, {"ref": "mouzikang/titanic", "kernel_id": "85029286"}, {"ref": "karansinghchauhann/titanic-problem", "kernel_id": "85976889"}, {"ref": "pratttyush/notebook814ce26556", "kernel_id": "85216204"}, {"ref": "choudharymanas/kagglegettingstarted", "kernel_id": "85811446"}, {"ref": "koukimorishita/notebook8228ece653", "kernel_id": "85890742"}, {"ref": "swapnilsinghsom/notebookc5624a53f9", "kernel_id": "85418835"}, {"ref": "kaleemullahsyed/belajar-notebook-orang", "kernel_id": "85544395"}, {"ref": "kaleemullahsyed/titanic-model-benchmark", "kernel_id": "85544427"}, {"ref": "kaleemullahsyed/mlp-with-pytorch", "kernel_id": "85544464"}, {"ref": "douglassimoes/notebookb55a882f5a", "kernel_id": "85056983"}, {"ref": "telikhushi/notebookd380c5e84d", "kernel_id": "85541412"}, {"ref": "joogabrielbrito/trabalhofinalmalvezzy", "kernel_id": "85047823"}, {"ref": "thangnguyen12939445/survived-titanic", "kernel_id": "85508025"}, {"ref": "thiagodnts/trabalho-1", "kernel_id": "85003087"}, {"ref": "emirhngull/my-titanic-model-xgboost-logreg-gridsearchcv", "kernel_id": "85208013"}, {"ref": "shogotoyoguchi/notebooke9b25a365d", "kernel_id": "85491271"}, {"ref": "ahsanneural/titanic-survival-prediction-ahsan-s-ml-voyage", "kernel_id": "85435518"}, {"ref": "jenileechen/linear-classification-model-titanic", "kernel_id": "85101172"}, {"ref": "jenileechen/kernalized-svm-classification-titanic", "kernel_id": "85101912"}, {"ref": "jenileechen/neural-network-tensorflow-titanic", "kernel_id": "85102990"}, {"ref": "farizsalmant/titanic-machine-learning", "kernel_id": "85159593"}, {"ref": "jamesnapoleon/cp3403-5634-prac4-v250212", "kernel_id": "85081404"}, {"ref": "inoueaiko/notebookc0eb79ff15", "kernel_id": "85498398"}, {"ref": "nozomikugimiya/notebookcf090b14ba", "kernel_id": "85569543"}, {"ref": "tanakaaika/notebookf4bacdc28b", "kernel_id": "85497011"}, {"ref": "tokuasuka/notebookc8e7ce634a", "kernel_id": "85495665"}, {"ref": "rikuhiraoka/notebookd586736e7f", "kernel_id": "85339688"}, {"ref": "hayashimiyako/notebookcf143b4577", "kernel_id": "85495706"}, {"ref": "okongoagneta/eda-titanic-dataset", "kernel_id": "85032112"}, {"ref": "bvslahari/learning-eda-from-scratch-a-beginner-s-notebook", "kernel_id": "85415846"}, {"ref": "hosamansahana/titanic-ml", "kernel_id": "85119366"}, {"ref": "veronicavictory/estonia-prediction-model", "kernel_id": "85548360"}, {"ref": "jatinbalajisailada/analysis-of-titanic-dataset", "kernel_id": "85282337"}, {"ref": "frknlgc/titanic-classicml", "kernel_id": "85905830"}, {"ref": "trishoolin/titanic-disaster", "kernel_id": "85770946"}, {"ref": "samikshasahu03/titanic-eda-featureengineering", "kernel_id": "85672574"}, {"ref": "apoorva111kr/getting-started-with-titanic", "kernel_id": "85271565"}, {"ref": "hangxu12138/titanic-hang", "kernel_id": "85724284"}, {"ref": "carlosazb/pytorch-ann", "kernel_id": "85558299"}, {"ref": "kumar2900/gettitng-started-with-titanic", "kernel_id": "85614497"}, {"ref": "sutariyasmit01/titanic-disaster", "kernel_id": "85266302"}, {"ref": "ogbad1/xgbclassifier-model", "kernel_id": "85884046"}, {"ref": "arthurfariasantos/notebook616c0cf5f8", "kernel_id": "85007836"}, {"ref": "sylvrinamargareth/ml-day-1", "kernel_id": "85722497"}, {"ref": "edulbarros/desafio-kaggle-titanic", "kernel_id": "85059038"}, {"ref": "pandadbs/dubois-esteban-panda-titanicnotebook", "kernel_id": "85408160"}, {"ref": "jully4266/titanic-data-analysis", "kernel_id": "85407439"}, {"ref": "loudagueye/titanic", "kernel_id": "85057508"}, {"ref": "syorin/notebook7b7ed19720", "kernel_id": "85471532"}, {"ref": "dkrangel/notebook926ab987cd", "kernel_id": "85050391"}, {"ref": "kawamuma/titanic-decisiontreeclassifier-2", "kernel_id": "85070936"}, {"ref": "kawamuma/titanic-randomforestclassifier-1", "kernel_id": "85238662"}, {"ref": "kawamuma/titanic-randomforestclassifier-2", "kernel_id": "85508923"}, {"ref": "kawamuma/titanic-logisticregression-1", "kernel_id": "85547276"}, {"ref": "edsonneto03/trabalhoedson", "kernel_id": "85020068"}, {"ref": "fabiana13/notebookatualizadotitanic", "kernel_id": "85040414"}, {"ref": "kokifujimoto/notebook8dca655e47", "kernel_id": "85931070"}, {"ref": "fgnyanko/notebook9f6f4d2e51", "kernel_id": "85393508"}, {"ref": "kai37006/notebooka5c5a8b308", "kernel_id": "85537349"}, {"ref": "doishouta/notebookde8b32139e", "kernel_id": "85640273"}, {"ref": "thousanda35/notebook18f55a68eb", "kernel_id": "85497330"}, {"ref": "ryotashikata/notebooke9b25a365d", "kernel_id": "85501278"}, {"ref": "kohayakawaryota/notebook406a33484a", "kernel_id": "85615219"}, {"ref": "star0101/notebooked1db01840", "kernel_id": "85443341"}, {"ref": "kobataryo/notebook647068a611", "kernel_id": "85492762"}, {"ref": "sugimotogreen/notebook94d4233bce", "kernel_id": "85622077"}, {"ref": "yutontuniv/notebook23894fbff9", "kernel_id": "85495737"}, {"ref": "kunitoryosei/notebook79853635d8", "kernel_id": "85603583"}, {"ref": "iwasakiitsuki/notebook519b245990", "kernel_id": "85566058"}, {"ref": "yama16/notebookbab8e90dfd", "kernel_id": "85496739"}, {"ref": "kimu0328/notebook3384d82d8d", "kernel_id": "85550528"}, {"ref": "yuhiohgaki/notebooktitanic6c18820e9e", "kernel_id": "85494446"}, {"ref": "mrsrtoinoue/notebook37ab572c4d", "kernel_id": "85495028"}, {"ref": "hiroakimatsutani/notebook9e41b0f078", "kernel_id": "85496223"}, {"ref": "lilliatop/titanic-machinelearningfromdisaster-notebook", "kernel_id": "85483643"}, {"ref": "papillon16/notebookf1bc9b6437", "kernel_id": "85485180"}, {"ref": "sagakotton/notebookab7f2d813c", "kernel_id": "85583136"}, {"ref": "labpeace/datascience-minitest-10", "kernel_id": "85547777"}, {"ref": "moonmt/notebook0e9b7506a5", "kernel_id": "85489563"}, {"ref": "galaxyau18/notebook40b024f895", "kernel_id": "85876924"}, {"ref": "bigrock32/notebook9272bd75a2", "kernel_id": "85485405"}, {"ref": "h1noue/titanic", "kernel_id": "85483038"}, {"ref": "kt13579/notebook9c9ade2514", "kernel_id": "85491272"}, {"ref": "somanakamura/notebookaeba3ca619", "kernel_id": "85606658"}, {"ref": "ds0613/notebook1bbdb6fa10", "kernel_id": "85494987"}, {"ref": "masanori628/titanic", "kernel_id": "85494940"}, {"ref": "masanori628/notebooke25744bc9d", "kernel_id": "85501075"}, {"ref": "ayano0208/titanic", "kernel_id": "85492489"}, {"ref": "shinoharatsukasa/notebooka37d3a7221", "kernel_id": "85549526"}, {"ref": "rikusr/notebook220bfb5573", "kernel_id": "85805596"}, {"ref": "thangnguyen012213/titanic-rework", "kernel_id": "85881404"}, {"ref": "jpzinnsz/notebookmalvezzy", "kernel_id": "85056812"}, {"ref": "gauravsanghvi1123/titanic-the-only-notebook-you-need-to-see", "kernel_id": "85055938"}, {"ref": "arthurmateus92/notebook42d084acbb", "kernel_id": "85065306"}, {"ref": "massera/notebooka1a2d7f031", "kernel_id": "85537916"}, {"ref": "bunsetsu/notebookf2cecbbcab", "kernel_id": "85622454"}, {"ref": "moriokanaoki/notebook720be65228", "kernel_id": "85494192"}, {"ref": "ankushkumar2001/notebooka6c38d7271", "kernel_id": "85120450"}, {"ref": "abcdef2143/notebook8f3e45126e", "kernel_id": "85546622"}, {"ref": "djsiofd/notebook0e19597ad2", "kernel_id": "85155205"}, {"ref": "archfu/notebook26635f266d", "kernel_id": "85599929"}, {"ref": "w342001/notebook5c6d593a83", "kernel_id": "85512567"}, {"ref": "gin1102/notebook0bbff3d5f4", "kernel_id": "85243295"}, {"ref": "gin1102/notebooke718846404", "kernel_id": "85519795"}, {"ref": "micankan/notebookc00b0961da", "kernel_id": "85603627"}, {"ref": "my34567/notebook088297ae21", "kernel_id": "85608598"}, {"ref": "oblplife/notebookd096548437", "kernel_id": "85221816"}, {"ref": "keiichisuzuki/notebook4e75064e56-20250704", "kernel_id": "85529614"}, {"ref": "wubangyang/notebook8a4fd1ee65", "kernel_id": "85554542"}, {"ref": "taisi003/notebookadad3034eb", "kernel_id": "85542460"}, {"ref": "wairimugitau/eda-week-3-assingment", "kernel_id": "85420278"}, {"ref": "sierrayates/notebooke9b25a365d", "kernel_id": "85588848"}, {"ref": "hsou31/notebookd47c6b74bc", "kernel_id": "85545200"}, {"ref": "yonedaakari/notebooke9b25a365d", "kernel_id": "85588493"}, {"ref": "iwasakazuma/notebook390f871afd", "kernel_id": "85589801"}, {"ref": "aditya8narvekar/titanic-ml-from-disaster", "kernel_id": "85851066"}, {"ref": "sho1194/kaggle-titanic-date", "kernel_id": "85623961"}, {"ref": "raiden93/titanic-best-working-classifier", "kernel_id": "85405087"}, {"ref": "primefactor11927/notebook096e52c9b4", "kernel_id": "85277458"}, {"ref": "minamiyuta/notebook1cfd7a4418", "kernel_id": "85600256"}, {"ref": "matsumotomatsumoto/notebook563b42fdc2", "kernel_id": "85330882"}, {"ref": "bigichiro/notebook605a43a477", "kernel_id": "85542476"}, {"ref": "naokkk/notebook670df8c74a", "kernel_id": "85950910"}, {"ref": "naokkk/notebook1b84060260", "kernel_id": "85949226"}, {"ref": "naokkk/notebook614e7f67c6", "kernel_id": "85522893"}, {"ref": "ijiayumu/titanic-4bc0b1", "kernel_id": "85503721"}, {"ref": "kadjen/titanic-best-working-classifier", "kernel_id": "85407415"}, {"ref": "piggybank2077/notebookf6974faef0", "kernel_id": "85608604"}, {"ref": "bilal7o/titanic-best-working-classifier", "kernel_id": "85405677"}, {"ref": "hirokikushima/notebook252bcd4787", "kernel_id": "85480275"}, {"ref": "shimizuyuk1/notebooke4f245735e", "kernel_id": "85502586"}, {"ref": "eiki2001/notebook6e04b7019c", "kernel_id": "85629967"}, {"ref": "kkiwii/notebook43a9209ca0", "kernel_id": "85421510"}, {"ref": "piiiiiiiman/dete-science", "kernel_id": "85599793"}, {"ref": "tomatoesss/notebookc93fa60d11", "kernel_id": "85421521"}, {"ref": "somanishitani/notebooke9b25a365d-174f22", "kernel_id": "85625351"}, {"ref": "b3d2lipid/notebookf61f92ba5d", "kernel_id": "85440316"}, {"ref": "yyynnyuyuyu/notebookebc4625bed", "kernel_id": "85640332"}, {"ref": "rnt810/notebook6baec72a6a", "kernel_id": "85582089"}, {"ref": "yuuto0829/notebook769728bcac", "kernel_id": "85542094"}, {"ref": "nao619/notebooka5a807d2e5", "kernel_id": "85613051"}, {"ref": "ckwoz1101/notebook747f593488", "kernel_id": "85638047"}, {"ref": "aran0919/notebookca669c40a9", "kernel_id": "85465655"}, {"ref": "aran0919/notebookdacb025d68", "kernel_id": "85918241"}, {"ref": "sorabimu/notebook34d33cca54", "kernel_id": "85538518"}, {"ref": "cchan33/notebooka0ed475c44", "kernel_id": "85617109"}, {"ref": "yukiminamide/notebook4d6ab7af93", "kernel_id": "85495895"}, {"ref": "keitasasakuta/notebook82e9353628", "kernel_id": "85779116"}, {"ref": "ytr0606/notebooke9b1596b03", "kernel_id": "85637005"}, {"ref": "nfkyscj/notebook69ac7532f1", "kernel_id": "85927461"}, {"ref": "g0g0777/notebookf4c8562a50", "kernel_id": "85484825"}, {"ref": "xc1999/notebooktitanic622", "kernel_id": "85621049"}, {"ref": "kojiro319/notebook612e6879ca", "kernel_id": "85588053"}, {"ref": "m2book/notebookf6425aa96d", "kernel_id": "85636572"}, {"ref": "kevinsjapaneseroom/notebookfa39c0ba11", "kernel_id": "85481414"}, {"ref": "kevinsjapaneseroom/notebook84ddde5a0f", "kernel_id": "85483218"}, {"ref": "tooori/notebook9995dfe0d8", "kernel_id": "85571200"}, {"ref": "tenhane/notebook22152320c2", "kernel_id": "85527411"}, {"ref": "tenhane/notebook6ea94dcc7d", "kernel_id": "85615552"}, {"ref": "tenhane/notebooke1baa01cee7", "kernel_id": "85485386"}, {"ref": "ikeeee/notebook7564d53623", "kernel_id": "85618189"}, {"ref": "mikan21/notebookbd8ebd1127", "kernel_id": "85496356"}, {"ref": "takashi4/notebook11a9e35eaf", "kernel_id": "85596650"}, {"ref": "kouhigashiyama/notebook7a43be20a9", "kernel_id": "85623168"}, {"ref": "sasapanda12345/notebook171324230b", "kernel_id": "85840263"}, {"ref": "shiorigouda/notebooka9a62fe77a", "kernel_id": "85483706"}, {"ref": "nakataniosuke/notebook13fad71bda", "kernel_id": "85589738"}, {"ref": "taka1459/notebooke79d60892a", "kernel_id": "85635909"}, {"ref": "isainao/notebook199331bcb8", "kernel_id": "85485524"}, {"ref": "akirahashimoto95/notebook4836aa9e66", "kernel_id": "85566434"}, {"ref": "fyoddky/notebook9d954edaf9", "kernel_id": "85492459"}, {"ref": "cucumber1231/notebook71a233059c", "kernel_id": "85486676"}, {"ref": "naomasakirihata/notebook1229cd77e6", "kernel_id": "85509805"}, {"ref": "hiyokonuko/data-science10", "kernel_id": "85625004"}, {"ref": "basabasa15/notebook20e68643b5", "kernel_id": "85492819"}, {"ref": "aoiarima/notebook2b811b619d", "kernel_id": "85635425"}, {"ref": "hiroto0801/notebookf343910954", "kernel_id": "85554934"}, {"ref": "morishunei/titnic-mori", "kernel_id": "85642164"}, {"ref": "kanetaniitsuki/notebook3789dd2c38", "kernel_id": "85494660"}, {"ref": "ryosuke6/notebookd5c9818a17", "kernel_id": "85493986"}, {"ref": "akifk9610/notebooke9b25a365d", "kernel_id": "85489420"}, {"ref": "yotanakashima/notebook526e4af45a", "kernel_id": "85489690"}, {"ref": "namikawaren/notebook1a519d5ff9", "kernel_id": "85493997"}, {"ref": "yamaguchi0521/notebook07ac199c89", "kernel_id": "85490904"}, {"ref": "fuji28/notebooka2c0672847", "kernel_id": "85491193"}, {"ref": "kosirohirose/notebook5f48e13be6", "kernel_id": "85490077"}, {"ref": "detazarasi/notebookb811c44b1c", "kernel_id": "85640298"}, {"ref": "taisukehitomi/notebook480e5f8a3b", "kernel_id": "85494722"}, {"ref": "togawashota/notebookc729d6c203", "kernel_id": "85491799"}, {"ref": "nonakadaiki/notebookfc74378831", "kernel_id": "85512072"}, {"ref": "naoki1407/notebookb90fd6018b", "kernel_id": "85492527"}, {"ref": "chikaraoka/notebookf63708c713", "kernel_id": "85492340"}, {"ref": "yukihami/notebookcdf0fd60f4", "kernel_id": "85492791"}, {"ref": "chamyu/notebooke9b25a365d-d0c257", "kernel_id": "85625460"}, {"ref": "watanabekosei5/titanic-watanabe", "kernel_id": "85606135"}, {"ref": "ujiharadaisuke/notebook2d90df8c66", "kernel_id": "85603447"}, {"ref": "zakiy5/notebooke9786b4f9d", "kernel_id": "85492181"}, {"ref": "enhaya/notebook30905784ee", "kernel_id": "85910116"}, {"ref": "haradashogo/notebook9432e1b456", "kernel_id": "85494025"}, {"ref": "shigemiryokuto/notebookfb38ba989b", "kernel_id": "85502954"}, {"ref": "sahuraki/notebooke9b25a365d", "kernel_id": "85493736"}, {"ref": "shutodoi63/notebook67610d32f6", "kernel_id": "85537317"}, {"ref": "kyasarin3045/notebooka29d3c482b", "kernel_id": "85595574"}, {"ref": "nakatsukakaito/notebook4451386757", "kernel_id": "85495465"}, {"ref": "masakiogita/notebooka3ed79ed9a", "kernel_id": "85865069"}, {"ref": "yh0110/notebook2fa77b1b58", "kernel_id": "85913296"}, {"ref": "yh0110/notebooka852fe2816", "kernel_id": "85493580"}, {"ref": "mk0916/notebookaac99e5306", "kernel_id": "85493780"}, {"ref": "koukasui/notebook894cb43252", "kernel_id": "85626355"}, {"ref": "kumati/notebook20d0ff9b9e", "kernel_id": "85492851"}, {"ref": "kumati/notebook894f21bfa4", "kernel_id": "85911509"}, {"ref": "shikinomegumi/notebook8ddbcec656", "kernel_id": "85594388"}, {"ref": "yudaimiyoshi/notebooke9b25a365d", "kernel_id": "85497108"}, {"ref": "itotaisei/notebooke9b25a365d", "kernel_id": "85494479"}, {"ref": "suzyyan/notebooke9b25a365d", "kernel_id": "85493947"}, {"ref": "hkitaba/notebookd370354a6d", "kernel_id": "85493022"}, {"ref": "edwarderulic/notebookd9bfdb0ac5", "kernel_id": "85642090"}, {"ref": "daichi2213/notebookc5b8f6f288", "kernel_id": "85494890"}, {"ref": "kikikikijijijijij/notebooke-kikikiki-ji", "kernel_id": "85495304"}, {"ref": "kikikikijijijijij/notebook-kikikiki", "kernel_id": "85495230"}, {"ref": "nakazawa666/notebook33bc21e907", "kernel_id": "85587420"}, {"ref": "meromeropan/notebookeb76a1a121", "kernel_id": "85498004"}, {"ref": "ebidaisuki/notebook3c457f436f", "kernel_id": "85495212"}, {"ref": "ryota00/notebooka0a12d2b70", "kernel_id": "85495610"}, {"ref": "saka00/notebook2ff3eea52f", "kernel_id": "85636691"}, {"ref": "moritahiromune/notebook38ffff2b37", "kernel_id": "85515413"}, {"ref": "takumahamada/titanic-survival-prediction-week-10-assignment", "kernel_id": "85504475"}, {"ref": "manabashirouto/notebook511bfde24e", "kernel_id": "85606617"}, {"ref": "ziyan891010/notebook03aed8d36c", "kernel_id": "85501757"}, {"ref": "pejon3/notebook94a3a10ebb", "kernel_id": "85496378"}, {"ref": "sattle/notebook3583b1bd7d", "kernel_id": "85495833"}, {"ref": "tokushima111/notebook143a002bba", "kernel_id": "85615017"}, {"ref": "uozaki/notebookead84d2811", "kernel_id": "85543370"}, {"ref": "hakane514/notebook96d2bbe9bd", "kernel_id": "85496604"}, {"ref": "mnnh27/notebook080ee1ce1b", "kernel_id": "85496376"}, {"ref": "hrknt8/notebookededf9fbf5", "kernel_id": "85496395"}, {"ref": "suzuekazuto/notebookc19bad49f6", "kernel_id": "85642250"}, {"ref": "zhaozimeng/titanic-notebook", "kernel_id": "85523485"}, {"ref": "jgoehdoel/notebooke9b25a365d", "kernel_id": "85636513"}, {"ref": "jgoehdoel/notebook43a2b6f2c3", "kernel_id": "85497325"}, {"ref": "sasasa1135/notebook2bdbb9d0ff", "kernel_id": "85781640"}, {"ref": "miyasou8739/notebook07e867963e", "kernel_id": "85498018"}, {"ref": "mofumofu39/notebookd596d0d1ae", "kernel_id": "85498375"}, {"ref": "azuchan/notebookaf50852d99", "kernel_id": "85920750"}, {"ref": "purinpurin/notebook8949364d76", "kernel_id": "85546677"}, {"ref": "jundesu/notebookfa5d100e55", "kernel_id": "85501265"}, {"ref": "suzukinanami/notebookd5e948c3ec", "kernel_id": "85506767"}, {"ref": "yamanoryoga/notebook4d91391cd8", "kernel_id": "85510695"}, {"ref": "miyamototakuma/notebooke9b25a365d", "kernel_id": "85511931"}, {"ref": "otanaoki/notebook1933fb37bd", "kernel_id": "85505410"}, {"ref": "ysotkm/notebook4683cf16a8", "kernel_id": "85506415"}, {"ref": "tuiyin03260/notebookcb5327313b", "kernel_id": "85513561"}, {"ref": "takahiko2003/notebook5bae660ef2", "kernel_id": "85615234"}, {"ref": "huangwengqian/notebooke9b25a365d", "kernel_id": "85514957"}, {"ref": "naruya0810/notebook6fa641401a", "kernel_id": "85639611"}, {"ref": "ysk3219/notebookde9bd288c4", "kernel_id": "85518921"}, {"ref": "qianwenghuang/notebook41f21bd6b3", "kernel_id": "85518851"}, {"ref": "kouken/notebook4ca41291c8", "kernel_id": "85523621"}, {"ref": "kouken/notebookeba0c837df", "kernel_id": "85597035"}, {"ref": "ssksuuri/notebook45501f0386", "kernel_id": "85523963"}, {"ref": "hijk34/notebook2004a38543", "kernel_id": "85536795"}, {"ref": "kanta0529/notebookb8644a4df0", "kernel_id": "85814998"}, {"ref": "sakodai/notebook481568ddbd", "kernel_id": "85547281"}, {"ref": "segu20020712/notebook349293dac6", "kernel_id": "85537950"}, {"ref": "shikaixin/notebooke9b25a365d", "kernel_id": "85537657"}, {"ref": "kojiban/notebooke4914a7679", "kernel_id": "85538320"}, {"ref": "ka06jn/notebookeb8a310161", "kernel_id": "85615912"}, {"ref": "itkg2356/notebookec692dc71f", "kernel_id": "85541036"}, {"ref": "nishikawamanaka/notebookd91ab8bebc", "kernel_id": "85546166"}, {"ref": "nishikawamanaka/notebook3b126b6aa1", "kernel_id": "85544880"}, {"ref": "kotak66966/titanic-0621", "kernel_id": "85546700"}, {"ref": "gomoriwaki/notebookcf0a20b5cc", "kernel_id": "85568963"}, {"ref": "kkyy38/notebook7b78dc8c58", "kernel_id": "85611973"}, {"ref": "kawamurahatsuki/notebook26ba4d766a", "kernel_id": "85559854"}, {"ref": "kawamurahatsuki/notebooka2efd7413b", "kernel_id": "85559195"}, {"ref": "toshikazusemba/notebook49292f6050", "kernel_id": "85550413"}, {"ref": "kubotakeizo/notebook35506f452d", "kernel_id": "85551606"}, {"ref": "koyamayudai2/notebook97825a0d8d", "kernel_id": "85624836"}, {"ref": "mikkokaguru0355/notebook1d220d8888", "kernel_id": "85711699"}, {"ref": "mikkokaguru0355/notebook29de85134d", "kernel_id": "85551604"}, {"ref": "yutatsuka06/notebook2c1779f428", "kernel_id": "85555141"}, {"ref": "sakataction/notebooke9b25a365d-73f24f", "kernel_id": "85555727"}, {"ref": "nakanoru77/notebookae63d56c43", "kernel_id": "85620162"}, {"ref": "mmmmiii/notebook617542a4d9", "kernel_id": "85559295"}, {"ref": "tuyoshitomiyuki/notebook295daa1432", "kernel_id": "85557490"}, {"ref": "fhgfiy/notebooka817481ac5", "kernel_id": "85620793"}, {"ref": "kobayashitatsuki/notebook6db623f4a8", "kernel_id": "85561424"}, {"ref": "doggzroad/notebook4829a02032", "kernel_id": "85927736"}, {"ref": "chisatoooooo/notebookb181d99aca", "kernel_id": "85562455"}, {"ref": "chisatoooooo/notebookbcb05c18a5", "kernel_id": "85562917"}, {"ref": "kamememem/notebook73b4b2f001", "kernel_id": "85565007"}, {"ref": "nakaishu/notebookc27d2c422b", "kernel_id": "85564822"}, {"ref": "daiki1023/titanic", "kernel_id": "85566079"}, {"ref": "yamabe570310/notebook17e8220acf", "kernel_id": "85610077"}, {"ref": "mdminhajhossain18/notebooke9b25a365d", "kernel_id": "85567590"}, {"ref": "prasenjitpaul9391/notebooke9b25a365d", "kernel_id": "85567824"}, {"ref": "itoshumpe/datascience-10", "kernel_id": "85568141"}, {"ref": "itoshumpe/notebook20250620", "kernel_id": "85568403"}, {"ref": "itoshumpe/notebooke9b25a365d-2de3fd", "kernel_id": "85568768"}, {"ref": "kidakou/notebook537c9b499d", "kernel_id": "85569084"}, {"ref": "hirororu/notebooke3aa5b96d4", "kernel_id": "85634464"}, {"ref": "ayakaumeda/notebook6295ffbdf8", "kernel_id": "85583099"}, {"ref": "zakaiii/notebook-kaggle-titanic", "kernel_id": "85619044"}, {"ref": "omggmo/notebook97cb45c6eba", "kernel_id": "85572066"}, {"ref": "emototaiyo/notebookc19de596fe", "kernel_id": "85657314"}, {"ref": "yukitoue/notebooke6eefe37a1", "kernel_id": "85631046"}, {"ref": "mtk6086/titanic-2025-06-20", "kernel_id": "85598962"}, {"ref": "aksg67/notebook2357729c44", "kernel_id": "85587299"}, {"ref": "maohaoliang/notebookee64a991f3", "kernel_id": "85598628"}, {"ref": "nakaya1455/notebook372733c122", "kernel_id": "85594158"}, {"ref": "sakurako5/notebookaa7af1d4d7", "kernel_id": "85640388"}, {"ref": "sakurako5/notebook91683495c1", "kernel_id": "85595811"}, {"ref": "oguuuuuuus/notebookd8597c36f3", "kernel_id": "85603869"}, {"ref": "kuronekosteve/notebookde117a1406", "kernel_id": "85597400"}, {"ref": "moaizou/notebook56b6048993", "kernel_id": "85623546"}, {"ref": "meg1030/notebooke1aa18dfdc", "kernel_id": "85620055"}, {"ref": "sayatomonari/notebookd9266676df", "kernel_id": "85634755"}, {"ref": "c612532005/notebooka6622ead87", "kernel_id": "85616347"}, {"ref": "syoshitomi08/notebookaf4b10cb3e", "kernel_id": "85598488"}, {"ref": "sokisoki/notebooked5e021062", "kernel_id": "85601896"}, {"ref": "keitaishiba4/notebookb4d1c7c109", "kernel_id": "85604081"}, {"ref": "ukj852456/notebook1f0d50a18b", "kernel_id": "85605438"}, {"ref": "mayujobe/notebooke4be517459", "kernel_id": "85605169"}, {"ref": "koutaakiyama/notebookfd46aca623", "kernel_id": "85603759"}, {"ref": "akira626/notebooke9b25a365d", "kernel_id": "85614015"}, {"ref": "hanaokahitoshi/titanic", "kernel_id": "85622136"}, {"ref": "datasciencestudent1/notebook0d5dc1c4b0", "kernel_id": "85606592"}, {"ref": "gordqn/notebook6a540b5209", "kernel_id": "85605301"}, {"ref": "tanakashinnosuke/notebooke9b25a365d", "kernel_id": "85605352"}, {"ref": "abcanal/notebookcdce107382", "kernel_id": "85607584"}, {"ref": "gototomoki/notebookdf0d81eec0", "kernel_id": "85608027"}, {"ref": "sakana123456789/notebookb6a89a8fb6", "kernel_id": "85610987"}, {"ref": "uchan725/notebookbf0d53c776", "kernel_id": "85623302"}, {"ref": "chromtoxenon/fork-of-notebookd99dc9ee80", "kernel_id": "85624133"}, {"ref": "ryusei39/notebook61b43e6b8b", "kernel_id": "85612195"}, {"ref": "leavesdog/notebooke985221ce5", "kernel_id": "85611972"}, {"ref": "aoki1111/notebooke53eb82f6f", "kernel_id": "85612679"}, {"ref": "fujikki/notebook316172b5a3", "kernel_id": "85613079"}, {"ref": "nishidahajime/notebooke9b25a365d", "kernel_id": "85614972"}, {"ref": "uver0717/notebookd34c23d4b7", "kernel_id": "85615498"}, {"ref": "noke1129/notebookaa859ec70c", "kernel_id": "85614460"}, {"ref": "fumitakaaa/titanic", "kernel_id": "85615575"}, {"ref": "ny0125/notebooka7e360fa4c", "kernel_id": "85614929"}, {"ref": "ttharukitt/notebook1894bde20e", "kernel_id": "85865838"}, {"ref": "proteinprotein/notebook50452e9735", "kernel_id": "85617749"}, {"ref": "endokeisuke/notebook9b3f5a3921", "kernel_id": "85615693"}, {"ref": "yutakoyama/notebook82d169875c", "kernel_id": "85617578"}, {"ref": "nebulizer/notebookf981113d7b", "kernel_id": "85617813"}, {"ref": "yuukifujiwara/notebook26c7c74c8c", "kernel_id": "85616301"}, {"ref": "azujun/notebookcee4343773", "kernel_id": "85640847"}, {"ref": "nakayamajun/notebookb8a21e94df", "kernel_id": "85618880"}, {"ref": "nakayamajun/notebook77a2820e37", "kernel_id": "85625132"}, {"ref": "nakayamajun/notebooka00f675b55", "kernel_id": "85625274"}, {"ref": "matoritsugeki/notebookf3034a5b7d", "kernel_id": "85620046"}, {"ref": "matoritsugeki/notebookd22b74c1cc", "kernel_id": "85636554"}, {"ref": "harukifukui/notebook6fd0a6f4a3", "kernel_id": "85620524"}, {"ref": "harukifukui/notebook22f72ad8e6", "kernel_id": "85625055"}, {"ref": "harukifukui/notebook67e89b5cb3", "kernel_id": "85629739"}, {"ref": "izumishinichi/titanic-data-science-10", "kernel_id": "85625531"}, {"ref": "chuuhuhuu/notebook-12984709", "kernel_id": "85617745"}, {"ref": "tunware08/notebooke9b25a365d", "kernel_id": "85639533"}, {"ref": "tunware08/fork-of-notebooke9b25a365d", "kernel_id": "85640391"}, {"ref": "ikawaaaaa/notebook7e5e36c998", "kernel_id": "85618432"}, {"ref": "sakaguchiyukiya/notebook996c773594", "kernel_id": "85618897"}, {"ref": "sakaguchiyukiya/notebooke9b25a365d", "kernel_id": "85879199"}, {"ref": "finoue/notebookd6d105f7fd", "kernel_id": "85624730"}, {"ref": "guoyidi/notebook0923e22b7b", "kernel_id": "85631480"}, {"ref": "hyukiya/notebook0d96ba5ae2", "kernel_id": "85619138"}, {"ref": "nao0808/notebook352e230e94", "kernel_id": "85620745"}, {"ref": "nao0808/notebook64dec91ba3", "kernel_id": "85625057"}, {"ref": "kaitoyamaura/notebookeea6a850fe", "kernel_id": "85620521"}, {"ref": "takoyaki2025/notebookc46b26c4ff", "kernel_id": "85620838"}, {"ref": "karin1112/notebook185b421cff", "kernel_id": "85620570"}, {"ref": "gin21065/notebook6e0241a9ea", "kernel_id": "85637543"}, {"ref": "hiroki10969/notebook2d1681269e", "kernel_id": "85628545"}, {"ref": "ayanematsuuchi/notebook8eec0763d6", "kernel_id": "85621684"}, {"ref": "yama10415o/notebooke9b25a365d", "kernel_id": "85622828"}, {"ref": "lovelyhamchan/notebookab01872377", "kernel_id": "85622951"}, {"ref": "mimataka2002/notebook5fb2a39aca", "kernel_id": "85622076"}, {"ref": "iseki0612/notebook337d0645dd", "kernel_id": "85636039"}, {"ref": "suketamu/notebookc89965ee68", "kernel_id": "85622246"}, {"ref": "umedakowa/notebooke9b25a365d", "kernel_id": "85932350"}, {"ref": "kawagi/notebook60f4be55d4", "kernel_id": "85881920"}, {"ref": "shiozakijunpei/titanic-data-science-eda-and-ml", "kernel_id": "85623640"}, {"ref": "shiozakijunpei/notebook3fef3f40ee", "kernel_id": "85623980"}, {"ref": "c612535005/notebookf1d9574a85", "kernel_id": "85623802"}, {"ref": "c612535005/notebookf09fdb9b53", "kernel_id": "85624718"}, {"ref": "ekusok8120/notebookd7118ac3c1", "kernel_id": "85627052"}, {"ref": "c612535040/notebooke9b25a365d", "kernel_id": "85638706"}, {"ref": "sq7708/notebookb1d000c680", "kernel_id": "85624734"}, {"ref": "nishum1234/notebook5e8c5a799a", "kernel_id": "85625999"}, {"ref": "tanakaasahi/notebookc1a35ca473", "kernel_id": "85625275"}, {"ref": "chi0505/notebook17cd730774", "kernel_id": "85625659"}, {"ref": "inaaki/notebook91e9ad1559", "kernel_id": "85628982"}, {"ref": "hyumamurata/notebook9be8c937c8", "kernel_id": "85626107"}, {"ref": "miho44/notebook756e9a801f", "kernel_id": "85627144"}, {"ref": "kt07182002/notebookcbf17513da", "kernel_id": "85628549"}, {"ref": "azu622/notebookccb277e5eb", "kernel_id": "85629200"}, {"ref": "takahata25/notebook9d8f180116", "kernel_id": "85628195"}, {"ref": "tasakiizuru/notebooke557436e9e", "kernel_id": "85628499"}, {"ref": "easygoingjellyfish/notebook8121f2351c", "kernel_id": "85628916"}, {"ref": "u0oxo0u/notebook41179af5e4", "kernel_id": "85630024"}, {"ref": "grapemikan/notebooke9b25a365d", "kernel_id": "85631331"}, {"ref": "koromizu/notebookbcfc2d3f83", "kernel_id": "85632642"}, {"ref": "akashikokoro/notebookd400004105", "kernel_id": "85778535"}, {"ref": "hojoryoki/notebook6059c4e874", "kernel_id": "85635421"}, {"ref": "ken141522/notebookc44c9a3daf", "kernel_id": "85634508"}, {"ref": "sugenatu/notebook466f19aa35", "kernel_id": "85635192"}, {"ref": "inuetmy/notebookde259b4f99", "kernel_id": "85635311"}, {"ref": "nemo000/notebook9ff146e362", "kernel_id": "85635933"}, {"ref": "airikato/notebook26b0c1d06c", "kernel_id": "85635513"}, {"ref": "shutokagawa/notebooke9b25a365d", "kernel_id": "85636947"}, {"ref": "matsutatsu/notebook5483e4933e", "kernel_id": "85637211"}, {"ref": "his4me/titanic-sample-hupei", "kernel_id": "85638396"}, {"ref": "yusaku1109/notebooke8c8e4afba", "kernel_id": "85637902"}, {"ref": "junyashozui/notebook97025d295a", "kernel_id": "85638175"}, {"ref": "onishinaotaka/notebooke64519a4ee", "kernel_id": "85638228"}, {"ref": "nansen0/notebook62cdac4910", "kernel_id": "85640382"}, {"ref": "nuime2025/notebookf6fe03cc41", "kernel_id": "85638421"}, {"ref": "rikuu012345/notebook8f30fe3b7c", "kernel_id": "85638734"}, {"ref": "seeeiii/notebookb7048d5047", "kernel_id": "85639200"}, {"ref": "kosukeinubushi/notebook52e46fb6ca", "kernel_id": "85639500"}, {"ref": "miyamon/notebook289eda029d", "kernel_id": "85639528"}, {"ref": "okamoto06/notebooke9b25a365d", "kernel_id": "85639491"}, {"ref": "okamoto06/fork-of-notebooke9b25a365d", "kernel_id": "85910981"}, {"ref": "kosihisa/notebooke9b25a365d", "kernel_id": "85642072"}, {"ref": "taniuchiakira/notebook0078c520b8", "kernel_id": "85641498"}, {"ref": "subeeeen/notebook25b08884c9", "kernel_id": "85640033"}, {"ref": "rurururu35/notebookcbcad4bacb", "kernel_id": "85639743"}, {"ref": "wcyy49/notebooked99f16186", "kernel_id": "85639857"}, {"ref": "sumigg/notebookfb85921748", "kernel_id": "85640173"}, {"ref": "jackdaniel5959/notebookdc0d323348", "kernel_id": "85639982"}, {"ref": "sayanitta/notebooka86007b953", "kernel_id": "85642114"}, {"ref": "komu1014/notebook-titanic", "kernel_id": "85640697"}, {"ref": "komu1014/notebook-sample", "kernel_id": "85880396"}, {"ref": "makidooon/notebook09d49a4521", "kernel_id": "85917050"}, {"ref": "tokueekohei/notebook63c1648c11", "kernel_id": "85879017"}, {"ref": "fujitatomohide/notebook", "kernel_id": "85837607"}, {"ref": "magomikuri/notebook0f75be4de5", "kernel_id": "85923439"}, {"ref": "ms2051/notebook7d587124e0", "kernel_id": "85640989"}, {"ref": "sohahuss/notebooke9b25a365d", "kernel_id": "85640639"}, {"ref": "yumanishimura0815/notebookf630e5a457", "kernel_id": "85640713"}, {"ref": "kawata82/notebook1693bed645", "kernel_id": "85948125"}, {"ref": "ryuseii0514/notebooke9b25a365d", "kernel_id": "85641092"}, {"ref": "yanojunpei/notebooke9b25a365d", "kernel_id": "85911247"}, {"ref": "yanojunpei/fork-of-notebooke9b25a365d", "kernel_id": "85911414"}, {"ref": "yanojunpei/fork-of-notebooke9b25a365d-3fb6b7", "kernel_id": "85911706"}, {"ref": "yukimanabe/notebooke9b25a365d", "kernel_id": "85725102"}, {"ref": "hayatott/notebookee2291241c", "kernel_id": "85641721"}, {"ref": "ecocyclelab42/notebook0dc9d2fcaf", "kernel_id": "85652193"}, {"ref": "ryske888/notebook5bbd081de5", "kernel_id": "85786018"}, {"ref": "fukukawayuu/notebookf9ad240c57", "kernel_id": "85658491"}, {"ref": "datascience2027/notebooke9b25a365d", "kernel_id": "85705880"}, {"ref": "kei3939/notebookef8g43dgkt898", "kernel_id": "85801962"}, {"ref": "ysskws/notebooke9b25a365d", "kernel_id": "85840699"}, {"ref": "harvestmimiko/notebook84e8ca8a0c", "kernel_id": "85730881"}, {"ref": "jassu1234/notebook14fe1ea769", "kernel_id": "85820168"}, {"ref": "jassu1234/titanicanalysis", "kernel_id": "85821799"}, {"ref": "manatoyasuhara/notebooke9b25a365d", "kernel_id": "85736700"}, {"ref": "polinamozhnaya/getting-started-with-titanic", "kernel_id": "85940417"}, {"ref": "adityabhopale1997/notebookccdfde7ec8", "kernel_id": "85820260"}, {"ref": "adityabhopale1997/titanic-exploration", "kernel_id": "85786157"}, {"ref": "adityabhopale1997/openinetanalysis2", "kernel_id": "85794617"}, {"ref": "adityabhopale1997/notebooka26fb98d5c", "kernel_id": "85734023"}, {"ref": "niltiaksivad/kaitlin-s-titanic-ml-model", "kernel_id": "85752929"}, {"ref": "nndclvdii/nndclvdi-trial-ml", "kernel_id": "85753059"}, {"ref": "leonardobdes/desafio-titanic", "kernel_id": "85763848"}, {"ref": "fernandoneiverth/notebook6f42e9106d", "kernel_id": "85764072"}, {"ref": "yosukeokamoto/notebookbc9d15f0ae", "kernel_id": "85767865"}, {"ref": "r33139997/notebook9977285881", "kernel_id": "85778181"}, {"ref": "muhammadabdullah1612/exercise-arithmetic-and-variables", "kernel_id": "85796673"}, {"ref": "shubhranshu17/notebook6960772465", "kernel_id": "85803753"}, {"ref": "wazima12thank/notebookb7275826e7", "kernel_id": "85807150"}, {"ref": "atsutonaito/notebook274a9bac42", "kernel_id": "85811777"}, {"ref": "harutoumibata/notebook4d0122e1cb", "kernel_id": "85814285"}, {"ref": "shimoyuki/notebookc6086e1147", "kernel_id": "85824675"}, {"ref": "sssawa/notebook8aa07fb4df", "kernel_id": "85838564"}, {"ref": "shotataniguchi0224/notebooke986d92a48", "kernel_id": "85837746"}, {"ref": "rupalyadav99/first-run", "kernel_id": "85868280"}, {"ref": "mateosoliz/titanic-base", "kernel_id": "85912600"}, {"ref": "jeancarlojv/titanic-base-jean", "kernel_id": "85912783"}, {"ref": "pisukepu/notebook36e73a98ab", "kernel_id": "85917287"}, {"ref": "hiromasaa/notebook82eb7c24a2", "kernel_id": "85917009"}, {"ref": "hayashi7777/titanic-survival-prediction", "kernel_id": "85934340"}, {"ref": "ronenfilho/roi-titatic-0-82", "kernel_id": "86965750"}, {"ref": "chauhuynh/titanic-svm", "kernel_id": "86082881"}, {"ref": "cmoore102589/mcm-titanic-v01", "kernel_id": "86494331"}, {"ref": "cmoore102589/mcm-titanic-submission", "kernel_id": "86494434"}, {"ref": "sajikim/tutorial-of-titanic-ch6", "kernel_id": "86979715"}, {"ref": "aidarmen/exploratory-data-analysis", "kernel_id": "86549466"}, {"ref": "aidarmen/supervised-learning-classification", "kernel_id": "86939747"}, {"ref": "dataking224/agtitanic", "kernel_id": "86428608"}, {"ref": "ammarabsawy/titanic-data-science-solutions", "kernel_id": "86332544"}, {"ref": "ammarabsawy/decision-trees-random-forest-for-beginners", "kernel_id": "86786065"}, {"ref": "dynamo14324/titanic-survival-prediction-with-random-forest", "kernel_id": "86277335"}, {"ref": "drmurataltun/titanic-veri-g-rselle-tirme-ve-tahmin-modeli", "kernel_id": "86269421"}, {"ref": "karusamuel/titanic-anns", "kernel_id": "86260373"}, {"ref": "muratgunes14/titanic-classification", "kernel_id": "86097063"}, {"ref": "pohungliu/titanic-survival-prediction", "kernel_id": "86138169"}, {"ref": "bethmen/em-titanic-v01", "kernel_id": "86514564"}, {"ref": "bethmen/em-titanic-submission", "kernel_id": "86514581"}, {"ref": "chocopong/notebook786017b5ce", "kernel_id": "86079326"}, {"ref": "ahmedmohameddiaa/titanic-tutorial", "kernel_id": "86279639"}, {"ref": "mohibulhimu/titanic-machine-learning-from-disaster-xgboost", "kernel_id": "86039573"}, {"ref": "ulugbekshernazarov/titanic-systematic-pipeline", "kernel_id": "86210756"}, {"ref": "lishachaudhari/titanic-dataset-eda-and-model-comparison", "kernel_id": "86324433"}, {"ref": "ignatiusadrian/titanic-survival-prediction", "kernel_id": "86784446"}, {"ref": "neophyte0903/titanic-challange", "kernel_id": "86494474"}, {"ref": "nateisgreat/titanic-survivability", "kernel_id": "86095140"}, {"ref": "agnieszkakaplukhaasa/titanic-eda-prediction-competition-77", "kernel_id": "86359952"}, {"ref": "manishakranthi/titanic-eda", "kernel_id": "86983024"}, {"ref": "vikasjigupta786/titanic-survival-prediction-beginner-ml-project", "kernel_id": "86944555"}, {"ref": "xndrfd/xndf-t", "kernel_id": "86941409"}, {"ref": "tons1234567/titanic-prediction", "kernel_id": "86734919"}, {"ref": "yashpalthakor/titanic-disaster-model", "kernel_id": "86824425"}, {"ref": "yashpalthakor/titanic-model", "kernel_id": "86824907"}, {"ref": "yashpalthakor/titanic-ml-disaster-v01", "kernel_id": "86643585"}, {"ref": "nguyenminhduy8888/week6-task2", "kernel_id": "86922223"}, {"ref": "nguyenminhduy8888/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86921805"}, {"ref": "nguyenminhduy8888/week6", "kernel_id": "86922367"}, {"ref": "sulemanmehmood/logistic-regression-on-titanic-data", "kernel_id": "86530331"}, {"ref": "awadmali/titanic-machine-learning-from-disaster", "kernel_id": "86285553"}, {"ref": "ahmed55zain/titanic-notebook", "kernel_id": "86717921"}, {"ref": "ibrahimeyadmelhem/full-titanic-code", "kernel_id": "86882352"}, {"ref": "carlospereavega/titanic", "kernel_id": "86072367"}, {"ref": "zyzzx15/dc-titanic-submission", "kernel_id": "86511334"}, {"ref": "zyzzx15/dzc-titanic-v01", "kernel_id": "86510624"}, {"ref": "koheinishio/notebook9cc1fa7336", "kernel_id": "86113369"}, {"ref": "muki1234/titanic-survival-prediction-lr-original", "kernel_id": "86985879"}, {"ref": "mariomagdyaziz/notebook6947148bf6", "kernel_id": "86781047"}, {"ref": "jpestudante/titanic-corredor-definitivo", "kernel_id": "86742734"}, {"ref": "gabrielberle/desafio-para-enviar-moodle", "kernel_id": "86833160"}, {"ref": "mariammohamedth/titanic-analysis-visualization", "kernel_id": "86455401"}, {"ref": "oussamamohamed/titanic", "kernel_id": "86714117"}, {"ref": "hellbruh/titanic-with-logreg-xgboost-catboost", "kernel_id": "86119352"}, {"ref": "atharvamalkar/notebook585aaf53d1", "kernel_id": "86029573"}, {"ref": "htetgamer/fast-ai-lesson5b-use-a-framework-htet", "kernel_id": "86965885"}, {"ref": "htetgamer/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86963262"}, {"ref": "fabriziotorrico/julia-statistic-analysis-ml-workflow-of-titanic", "kernel_id": "86841476"}, {"ref": "mattvierheller/mwv-titanic-v01", "kernel_id": "86293226"}, {"ref": "mattvierheller/mwv-titanic-submission", "kernel_id": "86293330"}, {"ref": "le6ite/prac06-t2", "kernel_id": "86965310"}, {"ref": "le6ite/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86963166"}, {"ref": "tanu1238/titanic-survival-2", "kernel_id": "86321932"}, {"ref": "aryansukhadia/titanic-ml", "kernel_id": "86270786"}, {"ref": "zhou0912/notebook7f655c75e8", "kernel_id": "86780722"}, {"ref": "zhou0912/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86780124"}, {"ref": "usamamulla/lightgbmclassifierum", "kernel_id": "86019092"}, {"ref": "akhalaf/ahmad-titanic-eda", "kernel_id": "86796182"}, {"ref": "damonlindsay/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86959794"}, {"ref": "damonlindsay/spaceship-titanic-task-3-damon-lindsay", "kernel_id": "86960795"}, {"ref": "damonlindsay/titanic-fastai-model-damonlindsay", "kernel_id": "86960317"}, {"ref": "damonlindsay/fastai-lesson-5b-use-a-framework", "kernel_id": "86959979"}, {"ref": "mostafaasaad2004/titanic-analysis", "kernel_id": "86656293"}, {"ref": "linnthantsoewai/fastai-lesson-5-task2", "kernel_id": "86775102"}, {"ref": "linnthantsoewai/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773510"}, {"ref": "sethgersbach/fastai-lesson-5b-use-a-framework-117ddd", "kernel_id": "86983532"}, {"ref": "sethgersbach/fastai-lesson-5-linear-model-and-neural-net-18f6e1", "kernel_id": "86959239"}, {"ref": "kay2304/titanic-ml-project", "kernel_id": "86163537"}, {"ref": "kaushikharshal/titanic-dataset-eda-feature-engg", "kernel_id": "86206562"}, {"ref": "umeshkumarrai123/titanic-code", "kernel_id": "86318286"}, {"ref": "arthurchariyasathian/se789-lab02", "kernel_id": "86915578"}, {"ref": "jawhersadok01/logistic-regression", "kernel_id": "86031759"}, {"ref": "cobalte/titanic-tutorial", "kernel_id": "86039662"}, {"ref": "andrewtjames/aj-titanic-v01", "kernel_id": "86503236"}, {"ref": "andrewtjames/aj-titanic-submission", "kernel_id": "86503826"}, {"ref": "ayahdawoud/titanic-prediction", "kernel_id": "86417635"}, {"ref": "parthavik/machine-learning-from-disaster", "kernel_id": "86203217"}, {"ref": "caesarliusiyi/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86780064"}, {"ref": "caesarliusiyi/cp3501-prac-6-task-2", "kernel_id": "86788466"}, {"ref": "faizankhandeshmukh/titanic-survival-prediction-beginner-guide", "kernel_id": "86027770"}, {"ref": "jordanbramwell/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86596900"}, {"ref": "jordanbramwell/fastai-lesson-5b-use-a-framework", "kernel_id": "86682088"}, {"ref": "jordanbramwell/prac-6-tasks-2", "kernel_id": "86765442"}, {"ref": "gauravkumar2525/exercise-arithmetic-and-variables", "kernel_id": "86429151"}, {"ref": "tejashrimaske/titanic-data", "kernel_id": "86074990"}, {"ref": "cheriecochran/cc-titanic-v01", "kernel_id": "86456454"}, {"ref": "cheyennefurlong/task2-train-predict-using-fastai-library", "kernel_id": "86769408"}, {"ref": "cheyennefurlong/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767034"}, {"ref": "callumriley3/cp3501-prac6-task2", "kernel_id": "86767210"}, {"ref": "callumriley3/cp3501-prac6-task1", "kernel_id": "86766708"}, {"ref": "deniztash/titanic-veri-g-rselle-tirme-ve-tahmin-model-5d77e6", "kernel_id": "86344165"}, {"ref": "mohamedalkok/notebook-titnic", "kernel_id": "86927083"}, {"ref": "andychen227/titanic-by-andy", "kernel_id": "86063591"}, {"ref": "reecekelly1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86793626"}, {"ref": "reecekelly1/fork-of-cp3501-prac-6-task-3", "kernel_id": "86912673"}, {"ref": "reecekelly1/cp3501-prac-6-task-2", "kernel_id": "86910676"}, {"ref": "caseysummers/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86911255"}, {"ref": "caseysummers/fastai-lesson-5b-use-a-framework", "kernel_id": "86914013"}, {"ref": "aaronbailey20/practical-6-task-1", "kernel_id": "86963932"}, {"ref": "aaronbailey20/practical-6-task-2", "kernel_id": "86975252"}, {"ref": "venkatasaigummadelli/notebook5735b53847", "kernel_id": "86122613"}, {"ref": "tirthankarghosh0036/the-titanic-survival-project", "kernel_id": "86818547"}, {"ref": "nazinan/notebook63a3c3df14", "kernel_id": "86548271"}, {"ref": "saurabhrajvarma/the-titanic-survival-quest-from-data-exploration", "kernel_id": "86476330"}, {"ref": "lghaithl/ml001-decision-tree", "kernel_id": "86691953"}, {"ref": "lurleon/modified-of-titanic", "kernel_id": "86317714"}, {"ref": "lurleon/getting-started-with-titanic", "kernel_id": "86251873"}, {"ref": "ahmedd4/titanic-competition", "kernel_id": "86281672"}, {"ref": "iviviviviviv/titanic", "kernel_id": "86606767"}, {"ref": "connorwhite1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86982247"}, {"ref": "connorwhite1/prac6task2", "kernel_id": "86982417"}, {"ref": "ashlyvarghese/titanic-survival", "kernel_id": "86443518"}, {"ref": "manishbhatiaml/end-to-end-machine-learning-project-for-titanic", "kernel_id": "86124877"}, {"ref": "kishanarya/titanic-tutorial", "kernel_id": "86175083"}, {"ref": "mirazul687/xgboost-titanic", "kernel_id": "86499214"}, {"ref": "dchehe/titanic-ml-pipeline-with-logistic-regression-rf", "kernel_id": "86054374"}, {"ref": "sarazahran1/titanic-machine-learning-from-disaster-1", "kernel_id": "86971964"}, {"ref": "serayustun/titanic-machine-learning-from-disaster", "kernel_id": "86656259"}, {"ref": "nihshu/2-sample-t-tests", "kernel_id": "86422830"}, {"ref": "nihshu/single-sample-t-tests", "kernel_id": "86373246"}, {"ref": "aman2626786/master-exploratory-data-analysis-eda-day-25", "kernel_id": "86374602"}, {"ref": "munalsingh/titanic-accuracy-78-947", "kernel_id": "86803982"}, {"ref": "dylanalva/001-titanic-ml", "kernel_id": "86946629"}, {"ref": "jesusdonate/titanic-competition-dataset", "kernel_id": "86365765"}, {"ref": "ansarinabeel/logistic-regression-and-decision-tree-alogorithm", "kernel_id": "86350493"}, {"ref": "tobildak/titanicdb", "kernel_id": "86269235"}, {"ref": "tobildak/fork-of-titanicdb", "kernel_id": "86328674"}, {"ref": "mackiitm/armaan-ml-demo", "kernel_id": "86810967"}, {"ref": "omrathod2003/titanic-survival-notebook", "kernel_id": "86070778"}, {"ref": "nishchalpandey/titanic-survival-prediction-random-forest", "kernel_id": "86068703"}, {"ref": "limdx006/prac06-task1", "kernel_id": "86767522"}, {"ref": "limdx006/prac06-task2", "kernel_id": "86767861"}, {"ref": "aungthantthu/week6-task2", "kernel_id": "86776910"}, {"ref": "aungthantthu/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773528"}, {"ref": "choopwintchal/practical-6-task-2", "kernel_id": "86767817"}, {"ref": "choopwintchal/practical-6-task-1", "kernel_id": "86763802"}, {"ref": "naytharhtet/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86976575"}, {"ref": "naytharhtet/fork-of-notebookd2ee7a6aed", "kernel_id": "86977335"}, {"ref": "naytharhtet/notebookd2ee7a6aed", "kernel_id": "86977100"}, {"ref": "liweichen1/fastai-lesson-5b-use-a-framework", "kernel_id": "86768001"}, {"ref": "liweichen1/fastai-lesson-5-linear-model-and-neural-net-853406", "kernel_id": "86767446"}, {"ref": "xiaoshirley/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86769263"}, {"ref": "xiaoshirley/week6-task2", "kernel_id": "86769643"}, {"ref": "saiohmsaiepaine/week-6-task-2", "kernel_id": "86775092"}, {"ref": "hlyanwintaung/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86774480"}, {"ref": "badandovalo/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86780325"}, {"ref": "orsonchen/week6-task2", "kernel_id": "86769384"}, {"ref": "orsonchen/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768023"}, {"ref": "rajbirahmed/titanic-survived-prediction", "kernel_id": "86645609"}, {"ref": "hr9000/cp3501-prac6-task2", "kernel_id": "86518541"}, {"ref": "westyy/week-6-task-two", "kernel_id": "86976848"}, {"ref": "westyy/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86975582"}, {"ref": "yousefkoriem/titanic-prediction", "kernel_id": "86563190"}, {"ref": "donpianta/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86977257"}, {"ref": "donpianta/prac6-task-2", "kernel_id": "86978329"}, {"ref": "davidhunter12/cp3501-prac06-task02-train-predict-using-fastai", "kernel_id": "86967181"}, {"ref": "davidhunter12/cp3501-prac06-task01-linear-model-by-hand", "kernel_id": "86965950"}, {"ref": "dylanjperkins/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767354"}, {"ref": "dylanjperkins/notebookb396127bc7", "kernel_id": "86769637"}, {"ref": "belowaverage/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86983027"}, {"ref": "belowaverage/why-you-should-use-a-framework", "kernel_id": "86983361"}, {"ref": "lukekaggleuni/week-6-task-2", "kernel_id": "86957959"}, {"ref": "lukekaggleuni/week-6-task-1", "kernel_id": "86957844"}, {"ref": "tarekradii/tarek-m-titanic", "kernel_id": "86959226"}, {"ref": "danielbrooks784/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86921106"}, {"ref": "danielbrooks784/cp3501-prac-6-task-2", "kernel_id": "86921774"}, {"ref": "gautamkaran41/titanic-data-analysis", "kernel_id": "86263240"}, {"ref": "dannyzaw4/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86925197"}, {"ref": "dannyzaw4/prac6-task2", "kernel_id": "86926384"}, {"ref": "nexturn19/fastai-lesson-5-linear-model-and-neural-net-d23a24", "kernel_id": "86767824"}, {"ref": "nexturn19/fastai-personal-training", "kernel_id": "86768304"}, {"ref": "kimdajin/notebookfee8e51684", "kernel_id": "86763312"}, {"ref": "kimdajin/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86760464"}, {"ref": "sithuzic/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86774333"}, {"ref": "sithuzic/fork-of-notebookd2ee7a6aed", "kernel_id": "86779497"}, {"ref": "sithuzic/notebookd2ee7a6aed", "kernel_id": "86776252"}, {"ref": "jatingautam9643/titanic-from-disaster", "kernel_id": "86636528"}, {"ref": "selenge910/notebooka6646db063", "kernel_id": "86271971"}, {"ref": "lxy7777/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768268"}, {"ref": "lxy7777/fastai-lesson6-task2", "kernel_id": "86769342"}, {"ref": "quinnstocker/notebook4c53ae0f37", "kernel_id": "86988374"}, {"ref": "quinnstocker/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86986889"}, {"ref": "hanyuxiao25/fastai-lesson-5b-use-a-framework", "kernel_id": "86771729"}, {"ref": "hanyuxiao25/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768103"}, {"ref": "akhileshveerapareddy/titanic-quick-eda-survival-insights-visuals", "kernel_id": "86368219"}, {"ref": "chiragadve/titanic-prediction-feature-engineering", "kernel_id": "86358783"}, {"ref": "chiragadve/titanic-prediction", "kernel_id": "86141684"}, {"ref": "ramashishpanchal/titanic-machine-learning-from-disaster", "kernel_id": "86556941"}, {"ref": "micky486/notebookab37bca0ce", "kernel_id": "86642265"}, {"ref": "patrickprofessional/titanic-accuracy-82-5-patrick-peter", "kernel_id": "86969280"}, {"ref": "khunpyae/task-2-titanic-prediction-using-fastai-framework", "kernel_id": "86873108"}, {"ref": "khunpyae/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768010"}, {"ref": "baakdadelen/basak-titanic-eda", "kernel_id": "86870013"}, {"ref": "minqiuqiuli/who-survived-in-the-titanic-rose-or-jack", "kernel_id": "86314486"}, {"ref": "lrincjankai/titanic-machine-learning", "kernel_id": "86920066"}, {"ref": "ayafnabih/titanic-eda", "kernel_id": "86454929"}, {"ref": "nicklalou/titanic", "kernel_id": "86816566"}, {"ref": "abdulrafesajid/stacking-classifier-titanic-dataset", "kernel_id": "86345296"}, {"ref": "abdulrafesajid/svm-on-titanic-dataset", "kernel_id": "86344445"}, {"ref": "waelmelki/getting-started-with-titanic-waelmelki", "kernel_id": "86552207"}, {"ref": "haseebpervaiz/titanic-tutorial", "kernel_id": "86572470"}, {"ref": "faizandataanalyst/titanic", "kernel_id": "86145974"}, {"ref": "deendayalverma/kag-1", "kernel_id": "86939112"}, {"ref": "hrnsvnc/titanic-eda-for-mylearning", "kernel_id": "86544752"}, {"ref": "ouzhankarl/exercise-arithmetic-and-variables", "kernel_id": "86642958"}, {"ref": "ouzhankarl/titanic", "kernel_id": "86644225"}, {"ref": "naiimarejeb/task02", "kernel_id": "86657071"}, {"ref": "mo7amed3bdelghany/titanic-eda-project", "kernel_id": "86367544"}, {"ref": "remsaniyebaran/datatitaniceda", "kernel_id": "86431383"}, {"ref": "esraakgn/titanic-veri-g-rselle-tirme-ve-tahmin", "kernel_id": "86269270"}, {"ref": "shota0129/titanic-lgb-optuna", "kernel_id": "86639549"}, {"ref": "enesalan/titanic-machine-learning-from-disaster", "kernel_id": "86631415"}, {"ref": "priyanshubhalewar/99-52-accuracy-with-only-3-inputs", "kernel_id": "86448844"}, {"ref": "liuchunhan/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86968277"}, {"ref": "liuchunhan/fastai-lesson-5b-use-a-framework", "kernel_id": "86968722"}, {"ref": "naingphonepyae/fastai-lesson-5b-use-a-framework", "kernel_id": "86769321"}, {"ref": "naingphonepyae/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768733"}, {"ref": "maita27/titanic", "kernel_id": "86026781"}, {"ref": "malikkanikaa/1-comp-titanic", "kernel_id": "86359667"}, {"ref": "kavinthakurkm/getting-started-with-titanic", "kernel_id": "86544947"}, {"ref": "moekhantzaw/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773272"}, {"ref": "zhanghanzhi1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86781125"}, {"ref": "zhanghanzhi1/cp3501-prac6-task2", "kernel_id": "86781925"}, {"ref": "sinder38/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86769185"}, {"ref": "sinder38/my-titanic-solution", "kernel_id": "86771276"}, {"ref": "linpyaehtet/fastai-library-task2-week6", "kernel_id": "86775032"}, {"ref": "linpyaehtet/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86774115"}, {"ref": "evachong/week-6-task-2", "kernel_id": "86766826"}, {"ref": "evachong/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86762559"}, {"ref": "dularigammampila/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767067"}, {"ref": "dularigammampila/notebook52bd1cfd1b", "kernel_id": "86769717"}, {"ref": "archanapalaniappan/task-2", "kernel_id": "86769719"}, {"ref": "archanapalaniappan/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767050"}, {"ref": "luox11a/cp-3501-week6-task-2", "kernel_id": "86780464"}, {"ref": "luox11a/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86779953"}, {"ref": "aqdaslonbal/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86766155"}, {"ref": "fsxplay/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86960761"}, {"ref": "alexiawin/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86764417"}, {"ref": "erdongxiao/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86766989"}, {"ref": "erdongxiao/week6-task2-titanic-xiaoerdong", "kernel_id": "86770822"}, {"ref": "yenaingkaggle/ye-naing-dl-prac-6-task-2", "kernel_id": "86774199"}, {"ref": "yenaingkaggle/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773603"}, {"ref": "heinaung018/fastai-lesson-5b-use-a-framework", "kernel_id": "86769347"}, {"ref": "heinaung018/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768159"}, {"ref": "jooogabriel/fastai-lesson-5b-use-a-framework", "kernel_id": "86771232"}, {"ref": "jooogabriel/linear-model-and-neural-net-from-scratch", "kernel_id": "86770220"}, {"ref": "hugocui526/fastai-lesson-5b-use-a-framework", "kernel_id": "86760739"}, {"ref": "hugocui526/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86760119"}, {"ref": "yangtonghao/why-you-should-use-a-framework", "kernel_id": "86768328"}, {"ref": "yangtonghao/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767540"}, {"ref": "wangxi0219/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767567"}, {"ref": "wangxi0219/fastai-lesson-5b-use-a-framework", "kernel_id": "86767902"}, {"ref": "jiangjinsong/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86977318"}, {"ref": "jiangjinsong/fastai-lesson-5b-use-a-framework", "kernel_id": "86977477"}, {"ref": "chaoyuyang114514/why-you-should-use-a-framework", "kernel_id": "86849225"}, {"ref": "chaoyuyang114514/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86713363"}, {"ref": "candicechristabel/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86673551"}, {"ref": "candicechristabel/candice-cp3501-prac6-task-2", "kernel_id": "86675558"}, {"ref": "winminoo4444/fastai-lesson-5b-use-a-framework", "kernel_id": "86762808"}, {"ref": "winminoo4444/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86762445"}, {"ref": "jingyangcai/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86758138"}, {"ref": "jingyangcai/week-6-task-2", "kernel_id": "86769502"}, {"ref": "lijunzihao/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86921770"}, {"ref": "olenashatova/notebook6bb6719a99", "kernel_id": "86284723"}, {"ref": "justinrf7/notebookdfd2fc72f3", "kernel_id": "86794540"}, {"ref": "justinrf7/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86792745"}, {"ref": "jakedodgson/prac-6-task-3", "kernel_id": "86768796"}, {"ref": "jakedodgson/prac-6-task-2", "kernel_id": "86768038"}, {"ref": "jakedodgson/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86766996"}, {"ref": "myatbhoneaung/task-2", "kernel_id": "86765585"}, {"ref": "myatbhoneaung/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86764772"}, {"ref": "liamwhiting/week6-task1", "kernel_id": "86765085"}, {"ref": "liamwhiting/week6-task2", "kernel_id": "86765864"}, {"ref": "shijieshen668/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773646"}, {"ref": "shijieshen668/fastai-lesson-5b-use-a-framework", "kernel_id": "86773916"}, {"ref": "beautifulyutong/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86765846"}, {"ref": "magnesium1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86917573"}, {"ref": "nndemo/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86760405"}, {"ref": "nndemo/fastai-lesson-5b-use-a-framework", "kernel_id": "86845498"}, {"ref": "arnoldarellano/arnold", "kernel_id": "86166680"}, {"ref": "sinnatherpaing/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86763967"}, {"ref": "sinnatherpaing/prac-6-task-2", "kernel_id": "86767830"}, {"ref": "juninhochandra/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767162"}, {"ref": "juninhochandra/prac-6-task-2", "kernel_id": "86769076"}, {"ref": "yuangchong/fastai-lesson-5b-use-a-framework", "kernel_id": "86769721"}, {"ref": "yuangchong/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767718"}, {"ref": "stephenyamashita/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767089"}, {"ref": "stephenyamashita/week-6-framework-and-ensembling-using-fastai-feat", "kernel_id": "86772218"}, {"ref": "cvyyds/linear-model-and-neural-net-from-scratch", "kernel_id": "86767267"}, {"ref": "paipeng1145/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768228"}, {"ref": "loulou222/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86767900"}, {"ref": "weirdguy64/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768058"}, {"ref": "weirdguy64/notebookbcfbb1e0d1", "kernel_id": "86980091"}, {"ref": "dong187/week6-task2", "kernel_id": "86774392"}, {"ref": "dong187/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773541"}, {"ref": "virusxix/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773684"}, {"ref": "virusxix/notebookf100e3d223", "kernel_id": "86774311"}, {"ref": "vanyqii/notebookd1a20ac44e", "kernel_id": "86764220"}, {"ref": "vanyqii/linear-model-and-neural-net-from-scratch", "kernel_id": "86761167"}, {"ref": "vanyqii/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86761065"}, {"ref": "thunyantun/fastai-lesson-5b-use-a-framework", "kernel_id": "86764939"}, {"ref": "thunyantun/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86764528"}, {"ref": "zhihaotang615/fastai-lesson-5b-use-a-framework", "kernel_id": "86773890"}, {"ref": "zhihaotang615/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773353"}, {"ref": "vincelinmaple126/fastai-lesson-5b-use-a-framework", "kernel_id": "86983022"}, {"ref": "vincelinmaple126/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86981885"}, {"ref": "sihanzhong/notebook1fbc72c8d9", "kernel_id": "86773621"}, {"ref": "sihanzhong/fastai-lesson-5b-use-a-framework", "kernel_id": "86768878"}, {"ref": "sihanzhong/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768299"}, {"ref": "nanglaungphoung77/notebook0dadf5f8ec", "kernel_id": "86766417"}, {"ref": "nanglaungphoung77/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86761163"}, {"ref": "nanglaungphoung77/linear-model-and-neural-net-from-scratch", "kernel_id": "86761667"}, {"ref": "nanglaungphoung77/notebooka0532bc3fc", "kernel_id": "86764201"}, {"ref": "mannimmond/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86774677"}, {"ref": "mannimmond/notebooke4ea81346e", "kernel_id": "86776835"}, {"ref": "mannimmond/notebookfecc9df78f", "kernel_id": "86777526"}, {"ref": "mannimmond/notebook79f82ccc00", "kernel_id": "86776163"}, {"ref": "saiko22/notebook4cbe019f16", "kernel_id": "86774323"}, {"ref": "saiko22/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86768087"}, {"ref": "yongdache/notebooke3680eb1c3", "kernel_id": "86774397"}, {"ref": "yongdache/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86774097"}, {"ref": "mojunzheng/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86779665"}, {"ref": "liyunchen1515/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86774555"}, {"ref": "qiushihao123/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86779944"}, {"ref": "armiahmeti/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86973421"}, {"ref": "armiahmeti/why-you-should-use-a-framework", "kernel_id": "86973659"}, {"ref": "zhiyuanwang0902/fastai-lesson-5b-use-a-framework", "kernel_id": "86970503"}, {"ref": "zhiyuanwang0902/why-you-should-use-a-framework", "kernel_id": "86970357"}, {"ref": "zhiyuanwang0902/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86969889"}, {"ref": "wujiawei123/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86919070"}, {"ref": "wujiawei123/fastai-lesson-5b-use-a-framework", "kernel_id": "86918821"}, {"ref": "wujiawei123/linear-model-and-neural-net-from-scratch", "kernel_id": "86918267"}, {"ref": "cnm11111/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86857298"}, {"ref": "cnm11111/fastai-lesson-5b-use-a-framework", "kernel_id": "86864609"}, {"ref": "gerardpandji/notebook201c717403", "kernel_id": "86782247"}, {"ref": "gerardpandji/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86770019"}, {"ref": "xuhuang1/fastai-lesson-5b-use-a-framework", "kernel_id": "86773874"}, {"ref": "xuhuang1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773274"}, {"ref": "zhuangzhuangchen/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86970394"}, {"ref": "zhuangzhuangchen/notebook630c977d93", "kernel_id": "86970788"}, {"ref": "weishipeng/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86779941"}, {"ref": "weishipeng/cp3501notebook-week6", "kernel_id": "86780707"}, {"ref": "madisonbragg1/notebook08aaafda5e0c697c7da6", "kernel_id": "86768800"}, {"ref": "madisonbragg1/notebook08aaafda5e", "kernel_id": "86768150"}, {"ref": "madisonbragg1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86766814"}, {"ref": "braedonross/prac-06-part-2", "kernel_id": "86978780"}, {"ref": "jacknortonlovett/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86974549"}, {"ref": "jacknortonlovett/notebookc6d50ddc39", "kernel_id": "86974790"}, {"ref": "seinlinn/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86774149"}, {"ref": "seinlinn/notebook748ca61cea", "kernel_id": "86774450"}, {"ref": "aidenlandy/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86980041"}, {"ref": "preetrank/final-titanic-prediction", "kernel_id": "86441210"}, {"ref": "ranzhou1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86962133"}, {"ref": "maythinhtet/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86773898"}, {"ref": "maythinhtet/notebook", "kernel_id": "86775592"}, {"ref": "anshagarwal2616/titanic-disaster", "kernel_id": "86818490"}, {"ref": "jiahaixiong/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "86765065"}, {"ref": "jiahaixiong/fastai-lesson-5b", "kernel_id": "86768373"}, {"ref": "bennynee/linear-model-and-neural-net-from-scratch", "kernel_id": "86781860"}, {"ref": "ahmetfbalci/titanic-prediction", "kernel_id": "86095655"}, {"ref": "urja2007/titanic-dataset", "kernel_id": "86007113"}, {"ref": "tayyab1805/titanic-notebook", "kernel_id": "86343553"}, {"ref": "cherrmittal/titanic-code", "kernel_id": "86163762"}, {"ref": "cherrmittal/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "86309027"}, {"ref": "ilhanseyhan/titanic-survival-prediction-with-xgboost", "kernel_id": "86571579"}, {"ref": "bsamay70/notebook4titanic", "kernel_id": "86011725"}, {"ref": "chandrimamanna/titanic-ml-project", "kernel_id": "86100474"}, {"ref": "hermitsays/titanic-survival-pred", "kernel_id": "86400600"}, {"ref": "aleynatat/titanic-eda-for-beginners", "kernel_id": "86536867"}, {"ref": "anahitsandhu04/notebook894abbc374", "kernel_id": "86417003"}, {"ref": "ahzaradsh/notebook2de88c4bdc", "kernel_id": "86018964"}, {"ref": "mhassnainkhalid/exercise-arithmetic-and-variables", "kernel_id": "86393504"}, {"ref": "edgardemeude/titanic-competition", "kernel_id": "86053762"}, {"ref": "kodaitotsuka/notebook03ff9fe201", "kernel_id": "86327569"}, {"ref": "hadikp/titanic-survival-prediction", "kernel_id": "86346359"}, {"ref": "abdulbazithm/bazi-s-prediction", "kernel_id": "86445752"}, {"ref": "jinmenusagi/notebookf91ad22510", "kernel_id": "86264900"}, {"ref": "morishunei/notebook607f8761e", "kernel_id": "86265128"}, {"ref": "kanetaniitsuki/notebook306eb547e5", "kernel_id": "86386943"}, {"ref": "yukihami/notebookb829014e48", "kernel_id": "86185043"}, {"ref": "dohwipark/notebooka6518074ce", "kernel_id": "86106692"}, {"ref": "liuyingfei/notebook946ca34363", "kernel_id": "86076686"}, {"ref": "hanaokahitoshi/notebook6a7e099ceb", "kernel_id": "86387304"}, {"ref": "abraham35/exercise-arithmetic-and-variables", "kernel_id": "86018956"}, {"ref": "c612535005/fork-of-notebookf09fdb9b53", "kernel_id": "86856493"}, {"ref": "miyatakehyuga/notebook16a5b1972a", "kernel_id": "86249129"}, {"ref": "hikarufujitatoku/notebook0881e546d7", "kernel_id": "86315438"}, {"ref": "fujimikan/notebook8f3541a6d0", "kernel_id": "86260689"}, {"ref": "fujitatomohide/fork-of-notebook", "kernel_id": "86384993"}, {"ref": "priyashamistry/exercise-arithmetic-and-variables", "kernel_id": "86025863"}, {"ref": "tiagodelemossoares/notebookd3219696a6", "kernel_id": "86822847"}, {"ref": "rahimak/titanic-survival-prediction-competition", "kernel_id": "86339959"}, {"ref": "ketakimule/titanic-dataset", "kernel_id": "86111956"}, {"ref": "aliseleem/notebook4d706b8da9", "kernel_id": "86980471"}, {"ref": "havalrasheed/titanic-analysis-by-haval", "kernel_id": "86740071"}, {"ref": "emadyagn/titanic-my-first-analysis", "kernel_id": "86735602"}, {"ref": "kavetijyothika/titanic-srvival-prediction", "kernel_id": "86086069"}, {"ref": "adamelnour/titanic-adam", "kernel_id": "86633182"}, {"ref": "helosasantos/analise-titanic", "kernel_id": "86291477"}, {"ref": "osamaaraar/titanic-da-modilling", "kernel_id": "86311808"}, {"ref": "abncampos/exercise-arithmetic-and-variables", "kernel_id": "86092744"}, {"ref": "nekketu920/notebook9db37a2dfe", "kernel_id": "86296352"}, {"ref": "yusske/notebook2e2dc4cc1c", "kernel_id": "86018981"}, {"ref": "biniameephrem/biniam-titanic-submission", "kernel_id": "86425457"}, {"ref": "biniameephrem/biniam-titanic-v01", "kernel_id": "86381379"}, {"ref": "mostafaelsheshtawy/getting-started-with-titanic", "kernel_id": "86066341"}, {"ref": "baheyhossam/titanic-survival-predictions", "kernel_id": "86557305"}, {"ref": "tec7337/data-set-exercise", "kernel_id": "86241869"}, {"ref": "seifelhady/exercise-arithmetic-and-variables", "kernel_id": "86737190"}, {"ref": "elifyurduseven/titanicverig-rselle-tirmevetahminmodeli", "kernel_id": "86328178"}, {"ref": "merfarukahan/titanic-veri-g-rselle-tirme-ve-tahmin-modeli", "kernel_id": "86269263"}, {"ref": "kaankutayduran/titanic-veri-g-rselle-tirme-ve-tahmin-modeli", "kernel_id": "86269271"}, {"ref": "hasankstek/titanik-veri-g-rselle-tirme-ve-tahmin-modeli", "kernel_id": "86269234"}, {"ref": "sagaraman8/titanic-competition-eda-and-prediction", "kernel_id": "86525024"}, {"ref": "anghammaher/angham-first-submission", "kernel_id": "86966964"}, {"ref": "lujainahmedyoussef/titanic-competition", "kernel_id": "86734327"}, {"ref": "masumotosae/notebookc3c24eabeb", "kernel_id": "86303951"}, {"ref": "koudaikimura/notebook63cf642979", "kernel_id": "86323619"}, {"ref": "shivay0727/exercise-arithmetic-and-variables", "kernel_id": "86440698"}, {"ref": "arayzwasti/exercise-arithmetic-and-variables", "kernel_id": "86357170"}, {"ref": "mariaandradeadr/titanic-model", "kernel_id": "86580540"}, {"ref": "bunnyy22/titanic", "kernel_id": "86422126"}, {"ref": "kaitizhao/titanic-tutorial", "kernel_id": "86480486"}, {"ref": "felixfaruix/titanic-randomforest", "kernel_id": "86955750"}, {"ref": "derickndzi/dn-titanic-v01", "kernel_id": "86518413"}, {"ref": "chandabhay/titanic-classification-abhay", "kernel_id": "86508677"}, {"ref": "jannetnguyen/getting-started-with-titanic2", "kernel_id": "86513580"}, {"ref": "jannetnguyen/titanic-competition-cis", "kernel_id": "86515031"}, {"ref": "youssefbahaa911/notebook0350f897c6", "kernel_id": "86954558"}, {"ref": "sayeedhasan00/titanice-result", "kernel_id": "86540295"}, {"ref": "rodrigoattanasio/notebookd30e2d56fb", "kernel_id": "86624251"}, {"ref": "pabloantniogomes/titanic", "kernel_id": "86586553"}, {"ref": "alexanderefimenko/titanik-catboost", "kernel_id": "86842445"}, {"ref": "kojima1216/py310-python-kaggle-start-book-ch02-01", "kernel_id": "86687994"}, {"ref": "pedromurilobeck/notebook8550ef0ffd", "kernel_id": "86840749"}, {"ref": "tamiresalana/desafio-titanic-ia", "kernel_id": "86841562"}, {"ref": "mohitghansela/new-code", "kernel_id": "86852900"}, {"ref": "kishimanto/task-2-fastai-lesson-5b-use-a-framework", "kernel_id": "86888065"}, {"ref": "kishimanto/task1-khademul-fastai-lesson-5-linear-notebook", "kernel_id": "86883409"}, {"ref": "kishimanto/task-4-step-2-valid-pct-0-25-seed-30", "kernel_id": "86939830"}, {"ref": "kishimanto/task-4-step-2-valid-pct-0-25-seed-60", "kernel_id": "86940051"}, {"ref": "kishimanto/task-4-1-2-randomsplitter-valid-pct-0-15-seed-42", "kernel_id": "86938819"}, {"ref": "kishimanto/task-4-step-1-valid-pct-0-25-seed-42", "kernel_id": "86938137"}, {"ref": "kishimanto/task-4-step-3-valid-pct-0-25-seed-42", "kernel_id": "86993219"}, {"ref": "kishimanto/task-4-step-3-valid-pct-0-15-seed-42", "kernel_id": "86993727"}, {"ref": "kishimanto/task-4-step-3-valid-pct-0-2-seed-30", "kernel_id": "86994519"}, {"ref": "kishimanto/task-4-step-3-valid-pct-0-2-seed-60", "kernel_id": "86995013"}, {"ref": "kishimanto/task-1-linear-model-and-neural-net-fromscratch", "kernel_id": "86852555"}, {"ref": "kishimanto/task1-khademul-fastai-lesson-5-linear-model-nn", "kernel_id": "86849317"}, {"ref": "kishimanto/task-1-linear-model-and-neural-net-from-scratch", "kernel_id": "86849586"}, {"ref": "vizaysoni/titanic", "kernel_id": "87958647"}, {"ref": "monicaneli/ml-predicting-survival-on-the-titanic", "kernel_id": "87239913"}, {"ref": "ronenfilho/roi-titanic-tutorial-w-random-forest", "kernel_id": "87447067"}, {"ref": "mikhailosintsev/notebook75dd1c7c25", "kernel_id": "87465800"}, {"ref": "gchiappe/decision-tree-accuracy-0-7686567164179104", "kernel_id": "87083202"}, {"ref": "aidarmen/core-basics", "kernel_id": "87062826"}, {"ref": "stpeteishii/titanic-tabnet-baseline", "kernel_id": "87678835"}, {"ref": "ashtoneonyango/titanic-tutorial", "kernel_id": "87613826"}, {"ref": "zhiweirandyzhu/titanic-decision-trees-prune", "kernel_id": "87036584"}, {"ref": "zhiweirandyzhu/titanic-random-forest", "kernel_id": "87095314"}, {"ref": "rjnieto/titanic", "kernel_id": "87977005"}, {"ref": "wiiildrift/i-spend-10hours-for-this-shitty-prediction", "kernel_id": "87292312"}, {"ref": "sulimanhaqqyarjan/pandas-tutorial-for", "kernel_id": "87331775"}, {"ref": "ethannovum/titanic-tutorial-2025-07-31", "kernel_id": "87601554"}, {"ref": "bhargavibhoj/titanic-prediction", "kernel_id": "87269033"}, {"ref": "lranario/titanic-initial-eda-baseline-model", "kernel_id": "87863114"}, {"ref": "baronzemo/notebook60a4062eba", "kernel_id": "87174019"}, {"ref": "edoardodegaspari2/titanic", "kernel_id": "87557549"}, {"ref": "tatiana1212/dan-titanic01", "kernel_id": "87349549"}, {"ref": "abdullahniaz/function-transformer-in-depth-understanding", "kernel_id": "87032201"}, {"ref": "rakeshandhavarapu/getting-started-with-titanic", "kernel_id": "87485985"}, {"ref": "mohamedyousr86/titanic-competition", "kernel_id": "87011723"}, {"ref": "gaeulcha/koreatech-ai-3", "kernel_id": "87482368"}, {"ref": "balpreetkaursingh/notebook0ad2d38762", "kernel_id": "87783578"}, {"ref": "nguyenminhduy8888/week7", "kernel_id": "87442879"}, {"ref": "jeongwanchoi/titanic", "kernel_id": "87975561"}, {"ref": "ahmedfoly/titanic-logistic-regression", "kernel_id": "87041220"}, {"ref": "tabassumarshad/titanic-survival-prediction-eda-feature-engg", "kernel_id": "87308858"}, {"ref": "yasmendarwish/final-tt", "kernel_id": "87943660"}, {"ref": "haohuanchen/titanic-lgbm", "kernel_id": "87330955"}, {"ref": "ayushikashyap/titanic", "kernel_id": "87414372"}, {"ref": "leglonedeanderson/simple-titanic-survival-predictions", "kernel_id": "87793694"}, {"ref": "phamdinhthienvu/2001216323-th6", "kernel_id": "87834167"}, {"ref": "metamorphozis/titanic-solution", "kernel_id": "87806133"}, {"ref": "ernestbavarsad/titanic-competition-research-ernest-b", "kernel_id": "87440603"}, {"ref": "josuezevallos/titanic-base", "kernel_id": "87427939"}, {"ref": "nguyenviethienquang/titanic-ml", "kernel_id": "87130872"}, {"ref": "htetgamer/fastai-lesson-6a-random-forests", "kernel_id": "87270473"}, {"ref": "zymkhize/titanic-explorer", "kernel_id": "87072320"}, {"ref": "hoparkjh/titanic", "kernel_id": "87474295"}, {"ref": "jorgejeriacortes/sobrevivir-al-titanic-con-machine-learning", "kernel_id": "87978846"}, {"ref": "minsung813/challenge-titanic", "kernel_id": "87288507"}, {"ref": "muhammadmaaz66/baseline-prediction-model-titanic", "kernel_id": "87465103"}, {"ref": "faryalnishat7/titanic", "kernel_id": "87834938"}, {"ref": "andreadiesto/notebook38573dd4b6", "kernel_id": "87121073"}, {"ref": "phamduyanh/2001210974-bth06", "kernel_id": "87834039"}, {"ref": "frogyboy/20250722-examen-tecnico", "kernel_id": "87736263"}, {"ref": "nguyntrnnhkha/2001210851-th6", "kernel_id": "87834731"}, {"ref": "fouadelhamra/titanic-disaster", "kernel_id": "87063125"}, {"ref": "antwangamil/titanic-competition", "kernel_id": "87418423"}, {"ref": "vandanapathania/titanic-machine-learning-from-disaster", "kernel_id": "87063343"}, {"ref": "abhishek123kushwaha/awesome-visualization-with-titanic-dataset", "kernel_id": "87594493"}, {"ref": "ezekielgeorge/titanic-model", "kernel_id": "87069009"}, {"ref": "mohamedabdelbakytony/titanic-competition", "kernel_id": "87220544"}, {"ref": "saiganesh09/notebook6e4113c328", "kernel_id": "87202968"}, {"ref": "ahmedalyafai/notebook9d51ddfc72", "kernel_id": "87469274"}, {"ref": "divyaabhatt/titanic-data-challenges-historical-narratives", "kernel_id": "87982455"}, {"ref": "prakashthota/notebook14d38de642", "kernel_id": "87198466"}, {"ref": "caesarliusiyi/fastai-lesson-6a-random-forests", "kernel_id": "87270696"}, {"ref": "engyrefaai/titanic-disaster-exploration", "kernel_id": "87556875"}, {"ref": "syedyasoobkazmi/titanic-comp-1", "kernel_id": "87982739"}, {"ref": "riddhiidayma/titanic-survival-eda", "kernel_id": "87059866"}, {"ref": "nonamenosorry/titanic-rf-linsvc-0-80622-top5", "kernel_id": "87992046"}, {"ref": "jarrodeaton/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87270072"}, {"ref": "jarrodeaton/fastai-lesson-6a-random-forests", "kernel_id": "87452451"}, {"ref": "spyrospolemis/prac6t2", "kernel_id": "87959993"}, {"ref": "spyrospolemis/prac6-task-1", "kernel_id": "87959844"}, {"ref": "sakshiii2004/fastai-lesson-5b-use-a-framework", "kernel_id": "87252363"}, {"ref": "sakshiii2004/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87251038"}, {"ref": "caseysummers/fastai-lesson-6a-random-forests", "kernel_id": "87097493"}, {"ref": "amldvvs/exercise-arithmetic-and-variables", "kernel_id": "87864486"}, {"ref": "evansongdozier/titanic-xgbclassifier-model-w-labelencoder", "kernel_id": "87090167"}, {"ref": "kysys23/titanic-tutorial", "kernel_id": "87516203"}, {"ref": "patiencenjeri/fastai-lesson-5b-use-a-framework", "kernel_id": "87459730"}, {"ref": "patiencenjeri/fastai-lesson-6a-random-forests", "kernel_id": "87270806"}, {"ref": "patiencenjeri/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87269832"}, {"ref": "abdurrahmanucak/titanic", "kernel_id": "87468019"}, {"ref": "dominator01/exploratory-data-analysis-on-titanic-dataset", "kernel_id": "87810084"}, {"ref": "dh4nya/titanic-1", "kernel_id": "87514882"}, {"ref": "dh4nya/who-died-on-da-titanic", "kernel_id": "87777930"}, {"ref": "jninon/titanic-mon-premier-mod-le", "kernel_id": "87412069"}, {"ref": "keterra/notebook8966dc309f", "kernel_id": "87397352"}, {"ref": "phapsucongu/titanic-survival-predictions", "kernel_id": "87921117"}, {"ref": "abhineetsahay/titanic", "kernel_id": "87355749"}, {"ref": "pranavashokkumar/23bai1218-pranav-ashokkumar", "kernel_id": "87763811"}, {"ref": "ajeemansari/titanic-survival-predictions-beginner", "kernel_id": "87680845"}, {"ref": "mohbabaqi/titanic-machine-learning", "kernel_id": "87429668"}, {"ref": "isaiapedro/titanic-machine-learning-from-disaster-solution", "kernel_id": "87810792"}, {"ref": "minkhant13/week-6-task-1", "kernel_id": "87194655"}, {"ref": "minkhant13/fastai-lesson-5b-use-a-framework-week6-task2", "kernel_id": "87524719"}, {"ref": "hwnagsh/fastai-lesson-6a-random-forests", "kernel_id": "87479389"}, {"ref": "xiaoshirley/fastai-lesson-6a-random-forests", "kernel_id": "87259011"}, {"ref": "ipritam09/titanic-survival-prediction", "kernel_id": "87239935"}, {"ref": "salvingeorgeau/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87520090"}, {"ref": "salvingeorgeau/s-g-fastai-titanic-model", "kernel_id": "87520610"}, {"ref": "lukekaggleuni/cp3501-week-7-task-1", "kernel_id": "87452066"}, {"ref": "nexturn19/fastai-lesson-6a-random-forests", "kernel_id": "87259405"}, {"ref": "kimdajin/fastai-lesson-6a-random-forests", "kernel_id": "87254079"}, {"ref": "sithuzic/fastai-lesson-6a-random-forests", "kernel_id": "87264744"}, {"ref": "phiparth/first1", "kernel_id": "87347505"}, {"ref": "alaaelshaer22/titanic", "kernel_id": "87328825"}, {"ref": "amirmohamadaskari/titanic-using-tensorflow-neural-network", "kernel_id": "87615808"}, {"ref": "amirmohamadaskari/titanic", "kernel_id": "87369595"}, {"ref": "ronak2005/titanic-logistic-regression", "kernel_id": "87674512"}, {"ref": "ronak2005/titanic-xgbclassifier", "kernel_id": "87721435"}, {"ref": "ronak2005/titanic-random-forest", "kernel_id": "87717774"}, {"ref": "ronak2005/titanic-svc", "kernel_id": "87697952"}, {"ref": "nilanjanachakraborty/23bai1073-nilanjana-chakraborty-titanic", "kernel_id": "87763696"}, {"ref": "ciracisuleyman/titanic-survival-competition", "kernel_id": "87737275"}, {"ref": "marcomata/titanic-submission", "kernel_id": "87222399"}, {"ref": "hanyuxiao25/fastai-lesson-6a-random-forests", "kernel_id": "87259499"}, {"ref": "yingchai1209/titanic-survival-prediction-ipynb", "kernel_id": "87988352"}, {"ref": "ramanpandey976/titanic-survival-prediction-beginner-friendly", "kernel_id": "87425269"}, {"ref": "mikekaizen/getting-started-with-titanic", "kernel_id": "87829196"}, {"ref": "orunyaar/titanic-dataset-feature-engineering-and-classific", "kernel_id": "87940806"}, {"ref": "antonglushko1/titanic-catastrophe", "kernel_id": "87955769"}, {"ref": "ycy1111/titanic-beginning", "kernel_id": "87273625"}, {"ref": "lrincjankai/titanic-machine-learning-tf-df", "kernel_id": "87115184"}, {"ref": "lrincjankai/titanic-machine-learning-advanced", "kernel_id": "87113791"}, {"ref": "vijayshankar70/exercise-arithmetic-and-variables", "kernel_id": "87935695"}, {"ref": "pavanpnampoothiripad/notebook632ed27d22", "kernel_id": "87849591"}, {"ref": "sanjanasannareddy/sanjana-reddy-s-23bai1422-knn", "kernel_id": "87865838"}, {"ref": "alisalmanrana/competition-notebook-titanic-machine-learning", "kernel_id": "87794061"}, {"ref": "tatianafuentes/titanic-notebook-data-cleaning", "kernel_id": "87040093"}, {"ref": "hammadbhatti09/notebookb25dcd538e", "kernel_id": "87602437"}, {"ref": "every1218/exercise-titanic-survival-predictions", "kernel_id": "87572795"}, {"ref": "kagglepipelinesteve/ml-titanic-practise", "kernel_id": "87838384"}, {"ref": "liuchunhan/fastai-lesson-6a-random-forests", "kernel_id": "87260184"}, {"ref": "kamalabdelbaset/notebook88487205fc", "kernel_id": "87971925"}, {"ref": "smrithipillai/titanic-submission", "kernel_id": "87719048"}, {"ref": "vrushabhghodke/exercise-arithmetic-and-variables", "kernel_id": "87070508"}, {"ref": "naingphonepyae/fastai-lesson-6a-random-forests", "kernel_id": "87259898"}, {"ref": "ayushmishrais24a/titanic-survival-prediction-eda-rf", "kernel_id": "87769218"}, {"ref": "fatmanageh/titanic-fa", "kernel_id": "87596948"}, {"ref": "aidenlaurila/prac-6-task-2-aiden-laurila", "kernel_id": "87051079"}, {"ref": "aidenlaurila/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87051021"}, {"ref": "zhanghanzhi1/fastai-lesson-6a-random-forests", "kernel_id": "87258112"}, {"ref": "xiangwang98/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87094019"}, {"ref": "xiangwang98/fastai-lesson-5b-use-a-framework", "kernel_id": "87094629"}, {"ref": "xiangwang98/fastai-lesson-6a-random-forests", "kernel_id": "87270227"}, {"ref": "evachong/fastai-lesson-6a-random-forests", "kernel_id": "87254685"}, {"ref": "aqdaslonbal/how-random-forests-really-work", "kernel_id": "87271128"}, {"ref": "fsxplay/practical-6-task-2-titanic-competition", "kernel_id": "87028245"}, {"ref": "fsxplay/fastai-lesson-6a-random-forests", "kernel_id": "87264681"}, {"ref": "panhsumyat/notebook2054a76d8a", "kernel_id": "87204937"}, {"ref": "panhsumyat/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87200817"}, {"ref": "panhsumyat/fastai-lesson-6a-random-forests", "kernel_id": "87264746"}, {"ref": "heinaung018/fastai-lesson-6a-random-forests", "kernel_id": "87258865"}, {"ref": "timothywatson7/fastai-lesson-6a-random-forests", "kernel_id": "87698671"}, {"ref": "timothywatson7/fastai-lesson-5-task-2", "kernel_id": "87285720"}, {"ref": "kyaesinmoehtet/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87041333"}, {"ref": "kyaesinmoehtet/cp3501-prac6-task-2", "kernel_id": "87256725"}, {"ref": "jiangjinsong/how-random-forests-really-work", "kernel_id": "87269196"}, {"ref": "myatbhoneaung/fastai-lesson-6a-random-forests", "kernel_id": "87257080"}, {"ref": "shijieshen668/fastai-lesson-6a-random-forests", "kernel_id": "87270639"}, {"ref": "magnesium1/titanic-prediction-from-scratch-v1-1-task-2", "kernel_id": "87051398"}, {"ref": "nndemo/how-random-forests-really-work", "kernel_id": "87265689"}, {"ref": "nndemo/fastai-lesson-6a-random-forests", "kernel_id": "87264523"}, {"ref": "juninhochandra/fastai-lesson-6a-random-forests", "kernel_id": "87258944"}, {"ref": "yuangchong/fastai-lesson-6a-random-forests", "kernel_id": "87258701"}, {"ref": "estherineuwase/fastai-lesson-6a-random-forests", "kernel_id": "87769345"}, {"ref": "dong187/fastai-lesson-6a-random-forests", "kernel_id": "87264413"}, {"ref": "vanyqii/fastai-lesson-6a-random-forests", "kernel_id": "87257281"}, {"ref": "thunyantun/fastai-lesson-6a-random-forests", "kernel_id": "87265295"}, {"ref": "zhihaotang615/fastai-lesson-6a-random-forests", "kernel_id": "87265175"}, {"ref": "vincelinmaple126/fastai-lesson-6a-random-forests", "kernel_id": "87265593"}, {"ref": "jihunkim98/fastai-lesson-6a-random-forests", "kernel_id": "87267796"}, {"ref": "mannimmond/fastai-lesson-6a-random-forests", "kernel_id": "87264103"}, {"ref": "mojunzheng/fastai-lesson-6a-random-forests", "kernel_id": "87263482"}, {"ref": "liyunchen1515/fastai-lesson-6a-random-forests", "kernel_id": "87264619"}, {"ref": "kanyijie/fastai-lesson-6a-random-forests-91eee4", "kernel_id": "87263378"}, {"ref": "qiushihao123/fastai-lesson-6a-random-forests", "kernel_id": "87264775"}, {"ref": "chenyuxuan38/fastai-lesson-6a-random-forests", "kernel_id": "87471432"}, {"ref": "wujiawei123/fastai-lesson-6a-random-forests", "kernel_id": "87442401"}, {"ref": "wujiawei123/how-random-forests-really-work", "kernel_id": "87442554"}, {"ref": "cnm11111/fastai-lesson-6a-random-forests", "kernel_id": "87283300"}, {"ref": "xuhuang1/fastai-lesson-6a-random-forests-134551", "kernel_id": "87269639"}, {"ref": "xuhuang1/fastai-lesson-6a-random-forests", "kernel_id": "87260441"}, {"ref": "fabianuchendu/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87771959"}, {"ref": "fabianuchendu/why-you-should-use-a-framework", "kernel_id": "87776433"}, {"ref": "saniya89/notebook2baa12a463", "kernel_id": "87535559"}, {"ref": "zonoonjlalmelsadeg/titanic-tutorial", "kernel_id": "87344796"}, {"ref": "etikhandelwal17/notebook8cf6f644d4", "kernel_id": "87736169"}, {"ref": "sankarraina/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87103545"}, {"ref": "sankarraina/fastai-lesson-5b-use-a-framework-c0ee16", "kernel_id": "87105677"}, {"ref": "bennynee/fastai-lesson-6a-random-forests", "kernel_id": "87271219"}, {"ref": "bcar12/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87660971"}, {"ref": "bcar12/prac06-task2", "kernel_id": "87662133"}, {"ref": "salahdaddi/titanic-pr-diction", "kernel_id": "87734879"}, {"ref": "vaibhavanand49/titanic-survivors", "kernel_id": "87349649"}, {"ref": "yugparikh/titanic-competion", "kernel_id": "87514793"}, {"ref": "matsu013/eda-random-forest", "kernel_id": "87520787"}, {"ref": "steve92510/titanic-survival-prediction", "kernel_id": "87956699"}, {"ref": "kodaitotsuka/titanic", "kernel_id": "87755478"}, {"ref": "xiewenwei29/try-one", "kernel_id": "87218012"}, {"ref": "xiewenwei29/titanic", "kernel_id": "87219833"}, {"ref": "sedayilmaz111/titanic-hw", "kernel_id": "87808748"}, {"ref": "jeetbangari78/titanic-solution", "kernel_id": "87993060"}, {"ref": "ryunosukeyonekura/notebook9d9902eaa6", "kernel_id": "87832324"}, {"ref": "divyaraj2006/exercise-arithmetic-and-variables", "kernel_id": "87015607"}, {"ref": "razanihababdellatif/titanic-ml-train-test-workflow-with-visuals", "kernel_id": "87417978"}, {"ref": "mariabelengamboa/exercise-arithmetic-and-variables", "kernel_id": "87783710"}, {"ref": "mayank1713/exercise-arithmetic-and-variables", "kernel_id": "87723069"}, {"ref": "manishk26/titanicmodel", "kernel_id": "87126510"}, {"ref": "ralph719/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "87004690"}, {"ref": "martinlipe/titanic-base-267320", "kernel_id": "87310199"}, {"ref": "dakshpraveen123/titanic-machine-learning-from-disaster", "kernel_id": "87847934"}, {"ref": "vamsikrishna0029/vamsi-krishna29", "kernel_id": "87198587"}, {"ref": "shroukgamil/notebook315745a91e", "kernel_id": "87258322"}, {"ref": "sarahputhran/titanic-survival-prediction", "kernel_id": "87068730"}, {"ref": "mazinelbaaly/titanik", "kernel_id": "87041856"}, {"ref": "majidbasemmohammed/task-titanic-1", "kernel_id": "87048319"}, {"ref": "tec7337/titanic-regression-exercise", "kernel_id": "87016805"}, {"ref": "sandeep0000011111/notebookb11ea498f9", "kernel_id": "87206688"}, {"ref": "gorsiii/notebookb5adf3048d", "kernel_id": "87076947"}, {"ref": "gorsiii/titanic-logistic-regression-with-python", "kernel_id": "87168717"}, {"ref": "nabinbisht/titanic-project-nabi", "kernel_id": "87864055"}, {"ref": "zarahjoseph4/getting-started-with-titanic", "kernel_id": "87948814"}, {"ref": "leezy2/notebook65895439d9", "kernel_id": "87183879"}, {"ref": "leezy2/notebook7243cd83c0", "kernel_id": "87197070"}, {"ref": "mohamedtharwat11/mohamedtharwat", "kernel_id": "87880658"}, {"ref": "kirandeepkaur25/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "87165142"}, {"ref": "kirandeepkaur25/notebookf8794683dd", "kernel_id": "87251285"}, {"ref": "kirandeepkaur25/fastai-titanic-task-2", "kernel_id": "87253871"}, {"ref": "eng3laa/notebook6009d83c76", "kernel_id": "87978828"}, {"ref": "hritkk/titanic-survival", "kernel_id": "87302902"}, {"ref": "recepakar/examtitanic", "kernel_id": "87213361"}, {"ref": "ahmed4224/titanic", "kernel_id": "87291638"}, {"ref": "vivianriver/titanic-challenge-predict-missing-ages", "kernel_id": "87544439"}, {"ref": "santhoshici/santhoshkumar-23bai1236", "kernel_id": "87763729"}, {"ref": "tharung2005/tharun-g-23bai1486", "kernel_id": "87796330"}, {"ref": "kishimanto/prac-7-task-1", "kernel_id": "87371317"}, {"ref": "hmnshudhmn24/titanic-competition-score-0-79186", "kernel_id": "87120416"}, {"ref": "prathamkyada/notebook7d98e4efef", "kernel_id": "87105207"}, {"ref": "dewinvaldez/exercise-arithmetic-and-variables", "kernel_id": "87011377"}, {"ref": "jay987123/notebookad6d59d258", "kernel_id": "87078355"}, {"ref": "dd2sarahnoon/titanic-prediction-1", "kernel_id": "87092110"}, {"ref": "paijolemu/percobaan-awal", "kernel_id": "87079417"}, {"ref": "prabhavkanneganti/notebook368af4f25a", "kernel_id": "87178159"}, {"ref": "prabhavkanneganti/titantic-prediction", "kernel_id": "87178356"}, {"ref": "calix0/exercise-3", "kernel_id": "87178377"}, {"ref": "pennyl922/01-titanic-machine-learning-from-disaster", "kernel_id": "87083061"}, {"ref": "alexsadny/getting-started-with-titanic-prisyazhnuuk", "kernel_id": "87285357"}, {"ref": "tanish0050/test-run", "kernel_id": "87225084"}, {"ref": "jatintyagi1/titanic-machine-learning-from-disaster", "kernel_id": "87620210"}, {"ref": "p0ll1t0/titanic-competition", "kernel_id": "87315422"}, {"ref": "sanjanamatta/notebook1aab39b56c", "kernel_id": "87468419"}, {"ref": "anshikaranjann/kaggle-team-13-assignment-2", "kernel_id": "87847395"}, {"ref": "astrajyc/titanic-model-v1-clean", "kernel_id": "87566816"}, {"ref": "astrajyc/eda-titanic-v1-based-on-raw-data-2025-07-21", "kernel_id": "87607016"}, {"ref": "debbieozoeneh/exercise-arithmetic-and-variables", "kernel_id": "87542509"}, {"ref": "zainarahman/titanic-survival-predictions", "kernel_id": "87863193"}, {"ref": "nilotpalbaishya04/getting-started-with-titanic", "kernel_id": "87373335"}, {"ref": "asumankl/titanik-eda", "kernel_id": "87847630"}, {"ref": "debarshiiitkgp/titanic-dataset", "kernel_id": "87418095"}, {"ref": "johannnnnnnnnnnnnnnn/titanic1sttry", "kernel_id": "87614001"}, {"ref": "violetadeazpiazu/reto-titanic-violeta", "kernel_id": "87608210"}, {"ref": "royvelasquezv/titanic-base", "kernel_id": "87626538"}, {"ref": "shivanshbhardwaj24/titanic-beginner-notebook-eda-random-forest", "kernel_id": "87794868"}, {"ref": "afternoon/titanic-problem", "kernel_id": "88014003"}, {"ref": "molozhenko/titanic-complete-educational-solution", "kernel_id": "88578366"}, {"ref": "uzzawal/titanic-dataset-with-nn", "kernel_id": "88900628"}, {"ref": "dntai1983/dntai-titanic-demo-250731", "kernel_id": "88068576"}, {"ref": "albertmoon/01-titanic", "kernel_id": "88846004"}, {"ref": "faizkhan99/titanic-survival-predictor-by-faizan-khan", "kernel_id": "88680113"}, {"ref": "jaredcooke/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "88663545"}, {"ref": "jaredcooke/prac6-task2", "kernel_id": "88663563"}, {"ref": "ardagmus/titanic-machine-learning-project-1", "kernel_id": "88059045"}, {"ref": "aritropal/titanic-practice", "kernel_id": "88024775"}, {"ref": "gargeebhattacharjee/titanic-survival-model", "kernel_id": "88755225"}, {"ref": "ashamsadini/titanic-survival-prediction", "kernel_id": "88650644"}, {"ref": "pochichen/chapter-01", "kernel_id": "88631461"}, {"ref": "austinsalgat/titanic-competition", "kernel_id": "88835162"}, {"ref": "resuldemirok/titanic-survival-prediction", "kernel_id": "88144126"}, {"ref": "mdsalmanhossain/titanic-survival-prediction-using-decision-trees", "kernel_id": "88724057"}, {"ref": "joshuafinch/cp3501-prac6-task2", "kernel_id": "88670201"}, {"ref": "joshuafinch/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "88651323"}, {"ref": "vengeance10/titanic-machine-learning-problem", "kernel_id": "88963070"}, {"ref": "zeynepokumus/abcabc-titanic-eda", "kernel_id": "88060296"}, {"ref": "lentlen/titanic", "kernel_id": "88467107"}, {"ref": "ganeshmohane/titanic-puzzle", "kernel_id": "88449833"}, {"ref": "himanshu895522/titanic-survival-xgboost", "kernel_id": "88120736"}, {"ref": "mayurjare/titanic-sp-using-machine-learning", "kernel_id": "88640122"}, {"ref": "codewithwijesh/titanic", "kernel_id": "88147763"}, {"ref": "alipakzad/titanic-survival-prediction-eda-and-visualization", "kernel_id": "88838076"}, {"ref": "esrakoc/titanic-dataset-analysis-with-python", "kernel_id": "88326648"}, {"ref": "m0hamedsaber/ensemblemethods-titanicds-cmpt", "kernel_id": "88463975"}, {"ref": "gautamhz/titanic-survival-prediction", "kernel_id": "88075062"}, {"ref": "haohuanchen/titanic-get-1-score", "kernel_id": "88062778"}, {"ref": "khushi7097/lab-work", "kernel_id": "88438822"}, {"ref": "asmaadsaeed/titanic-survival-prediction", "kernel_id": "88004899"}, {"ref": "abhipratapsingh/pipelines-on-titanic", "kernel_id": "88965012"}, {"ref": "mdsadikujjamanshihab/titanic-data-science-project", "kernel_id": "88060206"}, {"ref": "shivanshumanar/titanic-dataset", "kernel_id": "88601413"}, {"ref": "mogemy004/logistic-regression-vs-random-forest", "kernel_id": "88842829"}, {"ref": "omarelmaghraby03/titanic", "kernel_id": "88310999"}, {"ref": "shivsaar/titanic-saviors-ml-model", "kernel_id": "88370863"}, {"ref": "siddharthosen/titanic-machine-learning-disaster", "kernel_id": "88665489"}, {"ref": "michelerendina/titanic", "kernel_id": "88085040"}, {"ref": "youssef1112/titanic-notebook-randomforest", "kernel_id": "88649023"}, {"ref": "kartiksethi000/titanic-classification", "kernel_id": "88492162"}, {"ref": "sn13eha/titanic-decoding-disaster", "kernel_id": "88133587"}, {"ref": "sbmshukla/titanic-survival-project", "kernel_id": "88411932"}, {"ref": "shishir25/titanic-survival", "kernel_id": "88300603"}, {"ref": "faridasabra/titanic", "kernel_id": "88031057"}, {"ref": "katelynlorilla/titanic-competition-submission", "kernel_id": "88190198"}, {"ref": "basmala24/titanic-dataset", "kernel_id": "88977161"}, {"ref": "sula123/titanic-machine-learning-from-disaster", "kernel_id": "88652018"}, {"ref": "shumaeel/titanic-survival-prediction", "kernel_id": "88912857"}, {"ref": "komingz/beginner-s-guide-tutorial-for-titanic", "kernel_id": "88657220"}, {"ref": "mohamedmustafashoaib/titanic-eda-analysis-visualization", "kernel_id": "88206695"}, {"ref": "muhammedderric/titanic-0-82-accuracy-random-forest", "kernel_id": "88055247"}, {"ref": "ardayavuzkeskin/building-a-model-with-the-titanic-dataset", "kernel_id": "88070668"}, {"ref": "katrinatopchiyan/titanic-final-competition", "kernel_id": "88176889"}, {"ref": "ylmzasel/titanic-competition", "kernel_id": "88292081"}, {"ref": "emreaslan7/titanic", "kernel_id": "88450391"}, {"ref": "mohamedfakhreldin/titanic-ml-prediction", "kernel_id": "88026141"}, {"ref": "uchechie/titanic-ann-model-prediction", "kernel_id": "88018692"}, {"ref": "lanwei222/titanic", "kernel_id": "88859306"}, {"ref": "clementainted/titanic-kaggle", "kernel_id": "88863793"}, {"ref": "yingchai1209/titanic-ml-baseline-ipynb", "kernel_id": "88093158"}, {"ref": "yingchai1209/titanic-advanced-featureengineering-ensemble-ipynb", "kernel_id": "88095086"}, {"ref": "payalpjena/getting-started-with-titanic", "kernel_id": "88447576"}, {"ref": "amanver2003/titanic-dataset", "kernel_id": "88270684"}, {"ref": "gulfan/titanic-disaster-analysis-competition", "kernel_id": "88294072"}, {"ref": "ahmedrezk14/notebook51f999a4af", "kernel_id": "88792020"}, {"ref": "haradhondebonath/titanic", "kernel_id": "88376469"}, {"ref": "harooniqbal89/titanic-ml-challenge-survival-prediction", "kernel_id": "88597400"}, {"ref": "ahmetcod25/titanic-veri-seti-analiznotebook10be7468c8", "kernel_id": "88518730"}, {"ref": "nihhshu/independent-t-test", "kernel_id": "88113403"}, {"ref": "nihhshu/single-sample-test", "kernel_id": "88112113"}, {"ref": "huzaifafarhad/huzaifa-titanic", "kernel_id": "88437841"}, {"ref": "juansobalvarro/notebookeefd14df07", "kernel_id": "88116428"}, {"ref": "weiweixiang/notebook5530da2186", "kernel_id": "88276865"}, {"ref": "thangnguyen12939445/assignment1", "kernel_id": "88852272"}, {"ref": "mikeywanzer/titanic-survival-v2", "kernel_id": "88546800"}, {"ref": "z87plasma/titanic-machine-learning-from-disaster", "kernel_id": "88948690"}, {"ref": "estherineuwase/prac7-task", "kernel_id": "88108696"}, {"ref": "estherineuwase/task3-prac6", "kernel_id": "88042593"}, {"ref": "estherineuwase/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "88042291"}, {"ref": "murilo17rosa/titanic-version1", "kernel_id": "88165569"}, {"ref": "yousefaymanatia/titanic-predictions", "kernel_id": "88380374"}, {"ref": "hungtselinandy/titanic-survival-prediction", "kernel_id": "88484516"}, {"ref": "riyajolly/titanic-survival-predictor", "kernel_id": "88235708"}, {"ref": "ankit07chy/254-257", "kernel_id": "88316134"}, {"ref": "morganfisherai/titanic-hello-world", "kernel_id": "88226907"}, {"ref": "harshme3hta/tiatanic-ml-submission", "kernel_id": "88158019"}, {"ref": "aayb10/titanic-77-5-accuracy-with-rfc-fe", "kernel_id": "88355628"}, {"ref": "ashtamib/titanic-datatset-prediction", "kernel_id": "88729852"}, {"ref": "anamtech/titanic-dataset-compitation-randomforest", "kernel_id": "88663311"}, {"ref": "anamtech/exercise-arithmetic-and-variables", "kernel_id": "88661420"}, {"ref": "lokithsb/titanic-survival-prediction-using-knn-class-cdb040", "kernel_id": "88076006"}, {"ref": "nekoscratch/captain-i-couldn-t-see-the-data-iceberg", "kernel_id": "88522674"}, {"ref": "tahasabertaha/tahasaber", "kernel_id": "88025808"}, {"ref": "berkcpro/titanic-prediction", "kernel_id": "88329925"}, {"ref": "dd2sarahnoon/titanic-stacking", "kernel_id": "88219612"}, {"ref": "sanskarshindeds/titanic-prediction", "kernel_id": "88669866"}, {"ref": "lyraluo/titanic-prediction", "kernel_id": "88037462"}, {"ref": "zohausman/data-manuplation-titanic-dataset", "kernel_id": "88733832"}, {"ref": "rakshithegde5/titanic-eda", "kernel_id": "88441376"}, {"ref": "rakshithegde5/getting-started-with-titanic-rakshit", "kernel_id": "88568074"}, {"ref": "najirami/titanic-naji-rami", "kernel_id": "88541243"}, {"ref": "sagsan/titanic", "kernel_id": "88112683"}, {"ref": "djenkivanov/top-5-simple-neural-network-solution", "kernel_id": "88208958"}, {"ref": "yangfanc/titanic-survival-prediction-data-analysis-model", "kernel_id": "88816690"}, {"ref": "vincentnapolean/titanic-exploration-category-grid", "kernel_id": "88472627"}, {"ref": "vincentnapolean/titanic-survival-prediction", "kernel_id": "88475013"}, {"ref": "vincentnapolean/grid-search-used", "kernel_id": "88094793"}, {"ref": "vincentnapolean/data-model-processing", "kernel_id": "88050103"}, {"ref": "sonuts/titanic-prediction-using-logistic-regression", "kernel_id": "88723777"}, {"ref": "maplezz/titanic-of-a-code-rookie-via-excel", "kernel_id": "88202780"}, {"ref": "leekalok/applied-features-engineering-with-tfdf-gbt-rf", "kernel_id": "88226851"}, {"ref": "weitingtan0624/notebookd3f6d8e602", "kernel_id": "88269405"}, {"ref": "dutta209/titanic-survival-prediction", "kernel_id": "88293003"}, {"ref": "yzeng346/titanic", "kernel_id": "88473769"}, {"ref": "tulseerahangdale/titanic-machine-learning", "kernel_id": "88526275"}, {"ref": "farcodenomad/titanic-machine-learning-insights-from-disaster", "kernel_id": "88576649"}, {"ref": "amalkakkiriken/titanic", "kernel_id": "88788000"}, {"ref": "leelavathiselvi/titanic-survival-prediction", "kernel_id": "89713209"}, {"ref": "ammy007/starting-with-titanic", "kernel_id": "89482691"}, {"ref": "kmathur1987/titanic-competition-with-logistic-regression", "kernel_id": "89756856"}, {"ref": "drmurataltun/titanik-veri-analizi-ve-modelleme", "kernel_id": "89199172"}, {"ref": "mariargomes/titanic-solution-with-random-forest", "kernel_id": "89168754"}, {"ref": "yuntzu/titanic", "kernel_id": "89882724"}, {"ref": "masayakawamata/tabm-experiment-titanic", "kernel_id": "89669647"}, {"ref": "gitikakhera/gitika-titanic-1", "kernel_id": "89634283"}, {"ref": "eraydikyololu/titanic-logistic-regression-torch", "kernel_id": "89572219"}, {"ref": "jangrnenwald/titanic-in-r-using-random-forests", "kernel_id": "89749718"}, {"ref": "abdullahkhalif/titainic-classifier-welcome-to-machine-learning", "kernel_id": "89214199"}, {"ref": "jannathulfirdousem/titanic-ml-project", "kernel_id": "89167900"}, {"ref": "arthambhardwaj/titaniccode1", "kernel_id": "89167184"}, {"ref": "daramnikhil/titanic", "kernel_id": "89533490"}, {"ref": "nam199245/titanic-baseline-solutionnotebook9bdc66c58d", "kernel_id": "89242393"}, {"ref": "nam199245/titanic-logistic-regression-c-0-5titanic-tutorial", "kernel_id": "89242941"}, {"ref": "nam199245/fork-of-titanic-tutorial", "kernel_id": "89243445"}, {"ref": "atharvamuley25/titanic-submission-1", "kernel_id": "89468762"}, {"ref": "bhupendrashivhare/titanic-analysis", "kernel_id": "89765621"}, {"ref": "colmrafferty/titanic-ensemble", "kernel_id": "89600669"}, {"ref": "divziv/titanic-survival-prediction", "kernel_id": "89229276"}, {"ref": "ofc1227/titanic-project-example", "kernel_id": "89211501"}, {"ref": "champml/titanic-competition", "kernel_id": "89389798"}, {"ref": "champml/titanic-tutorial", "kernel_id": "89388029"}, {"ref": "alibakirx/titanic-comptetition-first-try", "kernel_id": "89464999"}, {"ref": "ghazalehghorbani/titanic-competition", "kernel_id": "89178095"}, {"ref": "emirkaya1040/titanic-machine-learning-from-disaster-rf-xgb", "kernel_id": "89899169"}, {"ref": "pranav1753/titanic-survivals-prediction-competition", "kernel_id": "89756238"}, {"ref": "tanakitbutbamrung/exercise-arithmetic-and-variables", "kernel_id": "89351322"}, {"ref": "macaronimutton/titanic-dataset-missing-value-imputations", "kernel_id": "89154206"}, {"ref": "ahmedgalaaali/hypothesis-testing", "kernel_id": "89297009"}, {"ref": "deaneshtakkallapati/deanesh-titanic-model-notebook", "kernel_id": "89771220"}, {"ref": "quiirkycodes/titanic-randomforest", "kernel_id": "89124401"}, {"ref": "tanmaymishra3124/titanic1", "kernel_id": "89517787"}, {"ref": "gugu12138/adaptoflux-on-titanic", "kernel_id": "89593838"}, {"ref": "gugu12138/adaptoflux-on-titanic-cn", "kernel_id": "89589997"}, {"ref": "adrinpineda/piotesseron-light-3", "kernel_id": "89588880"}, {"ref": "arnabghosh01/titanic", "kernel_id": "89022113"}, {"ref": "omart1/notebookbc42ceba84", "kernel_id": "89435383"}, {"ref": "dhruvchotai/titanic-ml-from-disaster-competition", "kernel_id": "89247363"}, {"ref": "burak93/titanic", "kernel_id": "89619112"}, {"ref": "stejabhat/titanic-solution", "kernel_id": "89791111"}, {"ref": "orangabai/notebook73c29d4fbe", "kernel_id": "89895054"}, {"ref": "uvaismohammad/getting-started-with-titanic", "kernel_id": "89320647"}, {"ref": "soupalghoshssmj/titanic", "kernel_id": "89926967"}, {"ref": "sikandarfarooqsaani/pandas-project-4", "kernel_id": "89409317"}, {"ref": "ahmadshahzad24/titanic-survival-rate-prediction", "kernel_id": "89661809"}, {"ref": "ilyaplunk/titanic-logistic-regression", "kernel_id": "89405672"}, {"ref": "adityaj3009/titanic", "kernel_id": "89381074"}, {"ref": "jasminemohamed2545/titanic-ml-tutorial-with-logistic-regression", "kernel_id": "89326598"}, {"ref": "mfurqanasghar/titanic-survival-prediction", "kernel_id": "89011305"}, {"ref": "raghavhere/titanic", "kernel_id": "89288365"}, {"ref": "nehalmittal21/notebook3f793a4237", "kernel_id": "89036846"}, {"ref": "yuwandaaji/try-fastai-on-titanic-dataset", "kernel_id": "89740148"}, {"ref": "panzerkampfwagen/california-housing-prices", "kernel_id": "89053548"}, {"ref": "rishtz/titanic-using-logistic", "kernel_id": "89096556"}, {"ref": "drashtipatel2001/notebook639169fa01", "kernel_id": "89234105"}, {"ref": "mikefilips/titanic-notebook", "kernel_id": "89797989"}, {"ref": "divyanshsinghiw/titanicdata", "kernel_id": "89608477"}, {"ref": "naninulakala/notebook2ced97ff52", "kernel_id": "89323923"}, {"ref": "dandrandandran2093/the-titanic-project", "kernel_id": "89490096"}, {"ref": "njuspy/titanic", "kernel_id": "89170850"}, {"ref": "ayana3na3/titanic-survival-prediction", "kernel_id": "89334215"}, {"ref": "kagg3001/random-forest", "kernel_id": "89368461"}, {"ref": "ranaahmedelmaghraby/titanic-data", "kernel_id": "89016155"}, {"ref": "woezypi/captain-we-just-predicted-the-lifeboat-shortage", "kernel_id": "89326851"}, {"ref": "dilahtabalkan/logistic-regression-project", "kernel_id": "89920537"}, {"ref": "maruf99alam/data-cleaning-and-preprocessing", "kernel_id": "89986864"}, {"ref": "reeno005/notebookdbbd0bdda1", "kernel_id": "89329955"}, {"ref": "liulufei0710/notebook5415fc7515", "kernel_id": "89182609"}, {"ref": "reemabdi/titanic-survival-prediction", "kernel_id": "89042173"}, {"ref": "vikassahani9793/titanic-machine-learning-from-disaster", "kernel_id": "89666072"}, {"ref": "elosexperience/titanic-survival-analysis", "kernel_id": "89183420"}, {"ref": "ohizii/titanic-prediction", "kernel_id": "89334918"}, {"ref": "tirthdalal/tutorial-k-fold-cross-validation", "kernel_id": "89723007"}, {"ref": "hello123zzz/notebook8cc9a1789e", "kernel_id": "89252214"}, {"ref": "vanshdsci/my-first-submission", "kernel_id": "89249423"}, {"ref": "stacknstats/titanic-eda", "kernel_id": "89281480"}, {"ref": "attackonstats/ml-starter-pack", "kernel_id": "89124134"}, {"ref": "supriya216/notebook7d6ac5ec86", "kernel_id": "89595098"}, {"ref": "mesusheel01/notebookc3c689c306", "kernel_id": "89554250"}, {"ref": "zubaerniloy/titanic-survival-prediction-with-ml", "kernel_id": "89565371"}, {"ref": "sasitumati/titanic-1", "kernel_id": "89300166"}, {"ref": "jenilvachhani/notebook16a542b7cd", "kernel_id": "89187522"}, {"ref": "esraaysheata/exercise-arithmetic-and-variables", "kernel_id": "89752233"}, {"ref": "arayzwasti/titanic-disaster-dataset", "kernel_id": "89386262"}, {"ref": "yassaanwer/titanic", "kernel_id": "89341201"}, {"ref": "chinjuchandran/competition-titanic-survival-prediction-documented", "kernel_id": "89651000"}, {"ref": "chinjuchandran/titanic-submission-3", "kernel_id": "89671911"}, {"ref": "tejasa25/notebookafeb597fc5", "kernel_id": "89376349"}, {"ref": "jungwoo1208/titanic-machine-learning-from-disaster", "kernel_id": "89981006"}, {"ref": "paijolemu/exercise-arithmetic-and-variables", "kernel_id": "89170192"}, {"ref": "wasiqaliyasir/0-78-acc-titanic-competition", "kernel_id": "89768323"}, {"ref": "wasiqaliyasir/neural-network-using-tensorflow-to-predict", "kernel_id": "89667159"}, {"ref": "floyed/titanic-my-first", "kernel_id": "89732954"}, {"ref": "aiyah170/notebook0b1f5aafbe", "kernel_id": "89776097"}, {"ref": "vemulapallisaiganesh/titanic", "kernel_id": "89491166"}, {"ref": "sonuts/titanic-prediction-using-support-vector-classifier", "kernel_id": "89933418"}, {"ref": "sonuts/titanic-prediction-using-xgboost", "kernel_id": "89923671"}, {"ref": "jigangsong/build-a-neural-network", "kernel_id": "89278517"}, {"ref": "umarafzalkhan/titanic-model", "kernel_id": "89512004"}, {"ref": "varshneyrajat/titanic-machine-learning-from-disaster", "kernel_id": "89464018"}, {"ref": "dkesh009/titanic-problem", "kernel_id": "89336579"}, {"ref": "manku7/notebook-of-titanic", "kernel_id": "89084287"}, {"ref": "jaafarazzizi/titanic-submission", "kernel_id": "89122796"}, {"ref": "darknorth8/titanic-first-project", "kernel_id": "89071155"}, {"ref": "fasjfb/titanic", "kernel_id": "89177867"}, {"ref": "yureedemfaraujo/atividade-1-579", "kernel_id": "89070621"}, {"ref": "benjaminlundkvist/simple-end-to-end-titanic-eda-fe-lightgbm", "kernel_id": "89761710"}, {"ref": "benjaminlundkvist/titanic-prediction-with-lightautoml-and-lgb", "kernel_id": "89757290"}, {"ref": "benjaminlundkvist/titanic-survival-prediction-with-lightgbm", "kernel_id": "89532644"}, {"ref": "benjaminlundkvist/simple-starter-prediction-with-randomforest", "kernel_id": "89534786"}, {"ref": "caseykangyy/titanic-learning", "kernel_id": "89098134"}, {"ref": "joshgriffithsdev/titanic-survivor-prediction-w-logistic-regression", "kernel_id": "89741456"}, {"ref": "nairadithya/titanic", "kernel_id": "89579202"}, {"ref": "bekobeko145/titanicml", "kernel_id": "89736483"}, {"ref": "pankajkumarsharma911/notebook81c2055fbc", "kernel_id": "89603827"}, {"ref": "ronipurolainen/titanic-competition", "kernel_id": "89896657"}, {"ref": "thabitrobiah/exercise-arithmetic-and-variables", "kernel_id": "89650912"}, {"ref": "st0nekid/engine-v2", "kernel_id": "89681414"}, {"ref": "jliaoliveiragomes/aula-tmkr3025-cp", "kernel_id": "89702753"}, {"ref": "marcelleoliveiralino/explorando-dados-do-titanic-com-python", "kernel_id": "89729873"}, {"ref": "kunaldatkhile/exercise-arithmetic-and-variables", "kernel_id": "89760687"}, {"ref": "hughchoi/titanic", "kernel_id": "89961502"}, {"ref": "saroshfarhan1/titanic-competition", "kernel_id": "90701051"}, {"ref": "kmathur1987/titanic-problem-with-random-forests", "kernel_id": "90184819"}, {"ref": "afsankhan/titanic-single-sample-t-test", "kernel_id": "90309900"}, {"ref": "mananwadhwa/mlintrousingtitanic", "kernel_id": "90026616"}, {"ref": "bodiijhjhbn/notebook4061a4027c", "kernel_id": "90345924"}, {"ref": "nctuececharliechang/ml-precourse-assessment-answer", "kernel_id": "90579478"}, {"ref": "nctuececharliechang/ml-precourse-assessment", "kernel_id": "90386959"}, {"ref": "ahmadmoo/titanic-solution-random-forest", "kernel_id": "90810494"}, {"ref": "tasneemkoushar/titanic-model", "kernel_id": "90860786"}, {"ref": "doukansrel/titanic-machine-learning", "kernel_id": "90898502"}, {"ref": "yogendrasinghyadav/titanic-pratice", "kernel_id": "90018372"}, {"ref": "rokaspetraviius/titanic-random-forest", "kernel_id": "90780141"}, {"ref": "nasbeerahammed/titanic-model-training-by-nasbeer", "kernel_id": "90028927"}, {"ref": "abdoghazala/titanic-competition", "kernel_id": "90709631"}, {"ref": "samuelehab/titanic6cff5d3631", "kernel_id": "90363154"}, {"ref": "bokufu/titanic-firstproject", "kernel_id": "90331246"}, {"ref": "daniyalatta/finally-crack-92-accuracy-upvote-to-get-94", "kernel_id": "90160687"}, {"ref": "daniyalatta/titanic-endtoend-survival-class-ml-copy-test", "kernel_id": "90047745"}, {"ref": "emreaydgn/exercise-arithmetic-and-variables", "kernel_id": "90526163"}, {"ref": "jitamxb/titanic-machine-learning-from-disaster", "kernel_id": "90760216"}, {"ref": "yashsinghbedi/titanic-dataset", "kernel_id": "90934022"}, {"ref": "umutcanetin/first-attempt-on-titanic-with-linear-regression", "kernel_id": "90838113"}, {"ref": "minanabil11111212/titanic-using-machine-learning", "kernel_id": "90194172"}, {"ref": "aysenn/notebook1c3d680f6f", "kernel_id": "90035584"}, {"ref": "garvsachdeva0205/titanic-survival-prediction-eda-feature-eng", "kernel_id": "90850145"}, {"ref": "thinkverse/getting-started-with-titanic", "kernel_id": "90173907"}, {"ref": "sevdeilbodur/titanic-data-analysis", "kernel_id": "90482044"}, {"ref": "amogghbharadhwaj/titanic-eda", "kernel_id": "90926212"}, {"ref": "ahmedbakhet/titanic-ml", "kernel_id": "90656145"}, {"ref": "ranimbenkhlifa/notebook2699ab61fe", "kernel_id": "90585326"}, {"ref": "jackjesse/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "90921118"}, {"ref": "johnkitt/titanic-notebook", "kernel_id": "90990483"}, {"ref": "mohamedalaashahin/titanic-machine-learning-from-disaster", "kernel_id": "90403952"}, {"ref": "namepix/titanic-adv-gibin", "kernel_id": "90975480"}, {"ref": "namepix/titanic-gibin", "kernel_id": "90547255"}, {"ref": "domalashinjini/titanic-eda", "kernel_id": "90506205"}, {"ref": "yousef7ks/notebook4fbd533bb4", "kernel_id": "90686114"}, {"ref": "datatalesbyagos/titanic-challenge", "kernel_id": "90028928"}, {"ref": "royaahmed/titanic", "kernel_id": "90346036"}, {"ref": "hasankaln/titanic", "kernel_id": "90235690"}, {"ref": "arunsworkspace/titanic-survival-prediction", "kernel_id": "90988021"}, {"ref": "akashkumarjana/titanic-survival-prediction", "kernel_id": "90848536"}, {"ref": "cloudsf/titanic-k-fold-training-prediction-notebook", "kernel_id": "90862793"}, {"ref": "nguyenquyen1104/titanic-notebook-31-8-2025", "kernel_id": "90888181"}, {"ref": "akshay229/ml-lab-1", "kernel_id": "90678688"}, {"ref": "akshay229/lab-1", "kernel_id": "90568324"}, {"ref": "muhammedfurkansavuci/titanic-dataset", "kernel_id": "90033515"}, {"ref": "youssefamgadelkhatib/the-unsinkable-ship", "kernel_id": "90825410"}, {"ref": "madhurigayam/titanic-baseline-with-random-forest", "kernel_id": "90526870"}, {"ref": "sshoban/titanic-competition", "kernel_id": "90280872"}, {"ref": "kserol/titanic-by-almazium", "kernel_id": "90195940"}, {"ref": "hanaeren1/titanic", "kernel_id": "90070959"}, {"ref": "mishrarudradev/notebook0d9a69cdcf", "kernel_id": "90393735"}, {"ref": "yupengpei/taitannike", "kernel_id": "90120503"}, {"ref": "jmtan0/titanic-project", "kernel_id": "90596459"}, {"ref": "jmtan0/titanac-project-wif-ydf", "kernel_id": "90989893"}, {"ref": "shahdashrafrabiey/titanic-dataset", "kernel_id": "90544941"}, {"ref": "emmanuelwerunga254/titanic-prediction-for-survived", "kernel_id": "90511217"}, {"ref": "priyanshugurjar9/titanic-ml", "kernel_id": "90600712"}, {"ref": "zonoonjlalmelsadeg/copy-of-titanic", "kernel_id": "90714424"}, {"ref": "ignaciomenna/kaggle-titanic", "kernel_id": "90734346"}, {"ref": "murthy0x05/titanic-tutorial", "kernel_id": "90442616"}, {"ref": "sayuriaraki/titanic", "kernel_id": "90097596"}, {"ref": "mhasanyasin/titanic-notebook", "kernel_id": "90500287"}, {"ref": "adityabhargav87/mytitanicsolnotebook", "kernel_id": "90936433"}, {"ref": "begadmohamedhamdy/titanic-who-survived", "kernel_id": "90711007"}, {"ref": "nazmiye/titanic-logistic-regression-acc-0-810", "kernel_id": "90502794"}, {"ref": "mustafanafiz/titanic-simple-ml-and-pipeline-82-accuracy-score", "kernel_id": "90413011"}, {"ref": "abhinavkonagala/titanic-challenge", "kernel_id": "90645695"}, {"ref": "ifrahgul/titanic-analyser", "kernel_id": "90044489"}, {"ref": "ufukckose/top-10-titanic", "kernel_id": "90900927"}, {"ref": "amitsingh457/notebookd9d2ffdbcf", "kernel_id": "90794404"}, {"ref": "mehedihasanmonir/titanic-disaster", "kernel_id": "90090632"}, {"ref": "ziziiprogramming/titanic-predictions", "kernel_id": "90881883"}, {"ref": "yusuftahaakyol/titanic-eda", "kernel_id": "90396319"}, {"ref": "akshatsharma2/h2o-automl-titanic-dataset-made-easy", "kernel_id": "90747596"}, {"ref": "akshatsharma2/titanic-survival-predictor-with-auto-viml", "kernel_id": "90846336"}, {"ref": "abdallahaboudrari/titanic-machine-learning-from-disaster", "kernel_id": "90802772"}, {"ref": "cuwman/data-science-titanic-yasin", "kernel_id": "90988396"}, {"ref": "youssefselit/titanictaskv1", "kernel_id": "90405939"}, {"ref": "gojocloud/gojo-s-first-analysis", "kernel_id": "90402746"}, {"ref": "vietleds/titanic", "kernel_id": "90113029"}, {"ref": "nikitanandamajalikar/titanic-survival-analysis-eda-classification", "kernel_id": "90401384"}, {"ref": "lucsloureno/trabalho-minera-o-de-dados", "kernel_id": "90173408"}, {"ref": "khalod05/notebookd86f33c619", "kernel_id": "90345929"}, {"ref": "nomannic19/titanic-xgboost-hyperparameter-search-with-cv", "kernel_id": "90871322"}, {"ref": "angiejuyo/solucion2", "kernel_id": "90752408"}, {"ref": "hvselbaatar/exercise-arithmetic-and-variables", "kernel_id": "90487878"}, {"ref": "osamahawary/notebookd45b006660", "kernel_id": "90683655"}, {"ref": "kunaldgr/titanic", "kernel_id": "90763965"}, {"ref": "tphilong/titanic-rf-and-xgboost", "kernel_id": "90756643"}, {"ref": "sayedmubarish/titanic-classification", "kernel_id": "90756574"}, {"ref": "titericz/tabpfnv2-x-limix-x-xgb-x-rf", "kernel_id": "91175862"}, {"ref": "xiefei/titanic-start-of-a-journey-around-data-world", "kernel_id": "91261600"}, {"ref": "dntai1983/titanic-dntai-01", "kernel_id": "91735565"}, {"ref": "kagglestart/250906-class-code", "kernel_id": "91386571"}, {"ref": "yaheaal/project-2-mentorai", "kernel_id": "91037942"}, {"ref": "realamazingpieop/rjfmachinelearning", "kernel_id": "91777024"}, {"ref": "realamazingpieop/rjfdeeplearning", "kernel_id": "91837551"}, {"ref": "mohammaddehghan/notebookcf275ef4bc", "kernel_id": "91843281"}, {"ref": "hashhh/ml-precourse-assessment-112550052", "kernel_id": "91241284"}, {"ref": "stkycof/20250907-titanic-test", "kernel_id": "91462937"}, {"ref": "vievkdoddaguni/titanictaskv1", "kernel_id": "91213079"}, {"ref": "vievkdoddaguni/getting-started-with-titanic-vd09032025", "kernel_id": "91174811"}, {"ref": "argha7/titanic-data-science-solutions", "kernel_id": "91462448"}, {"ref": "suhailab/titanic-disaster-prediction-ml", "kernel_id": "91471362"}, {"ref": "martiritter/titanic-survivors", "kernel_id": "91580807"}, {"ref": "geissonbarbacena/ml-titanic-geisson", "kernel_id": "91033192"}, {"ref": "gaurabroy/notebook3a9a4a3e01", "kernel_id": "91204007"}, {"ref": "mislavzlomisli/titanic-mz", "kernel_id": "91164032"}, {"ref": "igorrendulic/titanic-xgboost-stacked-logistic-reg", "kernel_id": "91345284"}, {"ref": "jayambe36/titanic-new", "kernel_id": "91340757"}, {"ref": "jayambe36/titanic", "kernel_id": "91338157"}, {"ref": "yuxi1998/ensemble-lr-rf-xtb-models-0-77", "kernel_id": "91703356"}, {"ref": "idowudaniel/titanic-pred-ml", "kernel_id": "91991556"}, {"ref": "mahmoudmtamer/titanic-machine-learning-from-disaster-v1", "kernel_id": "91475255"}, {"ref": "srinivasoguri/titanic-venkata-sol", "kernel_id": "91794544"}, {"ref": "jossianbrito/titanic-ml-from-disaster", "kernel_id": "91915252"}, {"ref": "masayakawamata/pytabkit-starter-titanic", "kernel_id": "91469861"}, {"ref": "detaerviana/titanic-prediction-ml", "kernel_id": "91630393"}, {"ref": "akshwint/titanic-classification", "kernel_id": "91527731"}, {"ref": "joycelnomaly/classify-titanic-deep-dive", "kernel_id": "91514820"}, {"ref": "shailee2036/titanic-data-science-solutions", "kernel_id": "91788558"}, {"ref": "fiona051/titanic-data-science-solutions", "kernel_id": "91773881"}, {"ref": "mokshithairagamreddy/notebook74d7ea84db", "kernel_id": "91333455"}, {"ref": "whats2000/xgboost-hand-on-practice-with-xgboost", "kernel_id": "91297050"}, {"ref": "shidabood/titanic", "kernel_id": "91338413"}, {"ref": "robkraseu/survival-prediction-with-feature-analysis", "kernel_id": "91912358"}, {"ref": "samwangz/notebookb61e8a95ce", "kernel_id": "91333458"}, {"ref": "pradines/titanic", "kernel_id": "91267011"}, {"ref": "yuliyalisog/titanic-with-r-basic", "kernel_id": "91322774"}, {"ref": "adityarathwa/titanic-data-science-solutions", "kernel_id": "91796023"}, {"ref": "pratikjadhav88/titanic-tutorial", "kernel_id": "91629147"}, {"ref": "datawizarnab/titanic-survival-prediction-eda-feature-eng", "kernel_id": "91373498"}, {"ref": "rjatinkumar/dm-cse572-jatin-kumar-r", "kernel_id": "91346699"}, {"ref": "leonardojosephson/titanic-solution", "kernel_id": "91087692"}, {"ref": "benthomassmith/ben-smith-submission-3-url-ml-2", "kernel_id": "91781735"}, {"ref": "benthomassmith/ben-smith-submission-1-url-ml", "kernel_id": "91674914"}, {"ref": "jadenvanwyngaarden/submission-3-url-dl", "kernel_id": "91756612"}, {"ref": "jadenvanwyngaarden/submission-1-url-ml", "kernel_id": "91747980"}, {"ref": "botaylaamin/fully-eda-ml-titanic", "kernel_id": "91505293"}, {"ref": "edith982/titanic-survival-challenge", "kernel_id": "91172424"}, {"ref": "kevinrheee/titanic-a-data-driven-case-study-by-kevin-r", "kernel_id": "91225376"}, {"ref": "benjaminsimpson8910/dml-assignment2-titanic-competition", "kernel_id": "91776290"}, {"ref": "benjaminsimpson8910/dml-assignment2-titanic-competition-2", "kernel_id": "91776488"}, {"ref": "ratosan/titanic-dataset-8", "kernel_id": "91455295"}, {"ref": "anour98/in-lab2-scikit-learn", "kernel_id": "91114900"}, {"ref": "freebie/xgboost-tutorial-beginner-friendly", "kernel_id": "91688230"}, {"ref": "therealsheero/eda-on-titanic-dataset", "kernel_id": "91343732"}, {"ref": "lamnguyen95/titanic-classification-rf-svm-classifier", "kernel_id": "91331442"}, {"ref": "luanma12/reading-1", "kernel_id": "91716157"}, {"ref": "davidpmcdonald/submission-1-url-ml", "kernel_id": "91784929"}, {"ref": "davidpmcdonald/submission-3-url-ml", "kernel_id": "91752318"}, {"ref": "lmminhquang/svm-pyspark", "kernel_id": "91462147"}, {"ref": "omariharvey/notebooka57b73869e", "kernel_id": "91586599"}, {"ref": "shravanii15/titanic-data-science-solutions", "kernel_id": "91201537"}, {"ref": "dylanklark/class-titanic-regularmodel", "kernel_id": "91687538"}, {"ref": "dylanklark/titanic-deep-learning", "kernel_id": "91690029"}, {"ref": "darrenferrao/darren-titanic-data-science-solutions", "kernel_id": "91794856"}, {"ref": "jadynncrubel/notebookeaff6c0529", "kernel_id": "91333578"}, {"ref": "blakebehrens/lab-no1", "kernel_id": "91333454"}, {"ref": "ansuman00/titanic-pandas-assignment1", "kernel_id": "91184333"}, {"ref": "jamesoliverz/titanic-competition", "kernel_id": "91772128"}, {"ref": "rishgeeky/function-transformers", "kernel_id": "91816092"}, {"ref": "rishgeeky/titanic-with-pipeline", "kernel_id": "91696008"}, {"ref": "rishgeeky/titanic-without-pipelines", "kernel_id": "91690194"}, {"ref": "beraterolelk/titanic-kaggle-workshop", "kernel_id": "91108502"}, {"ref": "hassanmehmood413/features-engineering-04", "kernel_id": "91746821"}, {"ref": "engyrefaai/logistic-regression", "kernel_id": "91864050"}, {"ref": "iakhtar0/exercise-arithmetic-and-variables", "kernel_id": "91549633"}, {"ref": "elliotgram/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "91238170"}, {"ref": "elliotgram/task-3-fastai-lesson-5b-use-a-framework-ead518", "kernel_id": "91239256"}, {"ref": "elliotgram/fastai-lesson-5b-use-a-framework", "kernel_id": "91238735"}, {"ref": "maoozabdullah/titanic-tutorial", "kernel_id": "91011568"}, {"ref": "charniyamonisha/titanic-prediction", "kernel_id": "91648612"}, {"ref": "balakathirsr/home-work-q2-1", "kernel_id": "91513859"}, {"ref": "balakathirsr/titanic-hw1-q2p2", "kernel_id": "91531428"}, {"ref": "elgawad/exploratory-data-analysis-titanic", "kernel_id": "91265961"}, {"ref": "jalpatel111/titanic-data-science-solutions-jal-patel-reproduce", "kernel_id": "91798449"}, {"ref": "sayalisunilgurav/hw1-2-1reproduce", "kernel_id": "91783420"}, {"ref": "akhileshsrivatsava/dm-hw1-updated-solution", "kernel_id": "91862890"}, {"ref": "callistusogbodo/predicting-titanic-dataset-using-xgboost-and-cv", "kernel_id": "91735591"}, {"ref": "moeindoust/titanice-servive-prediction", "kernel_id": "91114192"}, {"ref": "smitpatel3564/titanic-data-science-solutions-a5d7f6", "kernel_id": "91755848"}, {"ref": "alwanadiuntoro/titanic-survival-of-the-fittest-or-the-richest", "kernel_id": "91171189"}, {"ref": "credd9608/titanic-ml-carlton", "kernel_id": "91783006"}, {"ref": "avi70687/day-3-decisiontree-titanic", "kernel_id": "91981337"}, {"ref": "dayaaron661/ml-precourse-assessment-112550066", "kernel_id": "91244434"}, {"ref": "hoagannhh/titanic", "kernel_id": "91953876"}, {"ref": "nandinivanapalli/titanic-assignment-205", "kernel_id": "91344870"}, {"ref": "zyaadells/titanic-survival-prediction-with-xgboost-catboost", "kernel_id": "91627127"}, {"ref": "vishalwareshi/data-modeling-vishalwareshi", "kernel_id": "91792837"}, {"ref": "starmars/titanic-submission", "kernel_id": "91781928"}, {"ref": "pepito212/titanic-with-softmax-regression-and-rfe-sfs", "kernel_id": "91812893"}, {"ref": "ayamohamednagy12/titanic-task", "kernel_id": "91349355"}, {"ref": "waarihaasim/ml-titanic-competition-notebook", "kernel_id": "91594541"}, {"ref": "cintuchautala/notebook120dae42c0", "kernel_id": "91323201"}, {"ref": "johnmarsland/titanic-v0-1", "kernel_id": "91939787"}, {"ref": "olhapol/notebookcb1e06f37a", "kernel_id": "91995948"}, {"ref": "sumitrgavali/first-kaggle-titanic", "kernel_id": "91302486"}, {"ref": "mhmd1424/notebookf36b5368bf", "kernel_id": "91222350"}, {"ref": "xueyueicu/titanic-tutorial", "kernel_id": "91791679"}, {"ref": "adamjennissen/notebook5214b37eb4", "kernel_id": "91349365"}, {"ref": "minlionaire/survived-or-dived-titanic-decision-tree", "kernel_id": "91947491"}, {"ref": "harukananase0630/titanic-randomforest", "kernel_id": "91040643"}, {"ref": "rana963/titanic-survival-prediction", "kernel_id": "91282172"}, {"ref": "mightguy2409/improvised-titanic-dataset", "kernel_id": "91505359"}, {"ref": "mightguy2409/the-reproduced-code-of-the-titanic-dataset", "kernel_id": "91445668"}, {"ref": "rahul712kumar/titanic-beginner", "kernel_id": "91001571"}, {"ref": "aadityabhandari9/first-beginner", "kernel_id": "91387201"}, {"ref": "shubh2595/xg-boost", "kernel_id": "91496657"}, {"ref": "youngsukyoo/titanic-tutorial", "kernel_id": "91655448"}, {"ref": "aatirali18/titanic-machine-learning-from-disaster", "kernel_id": "91031285"}, {"ref": "ai112550140/ml-precourse-assessment-112550140", "kernel_id": "91238277"}, {"ref": "meghabyte01/titanic-data-science-solutions-megha-suresh-vers", "kernel_id": "91468025"}, {"ref": "anshitab01/assignment1-problem2q1", "kernel_id": "91781864"}, {"ref": "satyym/titanic-data-science-solutions", "kernel_id": "91785808"}, {"ref": "satyym/titanic-data-science-solutions-e2ad63", "kernel_id": "91788955"}, {"ref": "ray0003/titanic-dataset", "kernel_id": "91297218"}, {"ref": "shivamja/titanic-survival-prediction", "kernel_id": "91507668"}, {"ref": "xfahadrahman/getting-started-with-titanic", "kernel_id": "91004203"}, {"ref": "mostafaelshafie99/titanic-trial-3", "kernel_id": "91764174"}, {"ref": "mostafaelshafie99/titanic-survival-2", "kernel_id": "91484535"}, {"ref": "etyalarahul/notebooke14767725d", "kernel_id": "91561690"}, {"ref": "drubodevpramanik/om-frist-competition", "kernel_id": "91827900"}, {"ref": "reannatse/titanic-data", "kernel_id": "91530073"}, {"ref": "salahuddinbayassi/titanic-random-forest", "kernel_id": "91465013"}, {"ref": "shuseiiioka/titanic-shu", "kernel_id": "91453671"}, {"ref": "nikhitanallu/titanic", "kernel_id": "91333386"}, {"ref": "phillipgiametta/lab-1", "kernel_id": "91333468"}, {"ref": "ysfa7md/logregression-knn-decisiontree-randomforest", "kernel_id": "91943082"}, {"ref": "cjmilholland/titanic-claude-sonnet-4-xgboost", "kernel_id": "91274953"}, {"ref": "cjmilholland/titanic-claude-sonnet-4-xgboost-no-optimize", "kernel_id": "91277842"}, {"ref": "cjmilholland/titanic-comp-gemini-help", "kernel_id": "91211406"}, {"ref": "zihaogong20/titanic-submission", "kernel_id": "91891975"}, {"ref": "yaminimeena/day01-titanic", "kernel_id": "91151109"}, {"ref": "anshikayadav01/exercise-arithmetic-and-variables", "kernel_id": "91827213"}, {"ref": "krishnatherokar/titanic-survival-prediction", "kernel_id": "91915980"}, {"ref": "abdoosary/titanic-comp", "kernel_id": "91268496"}, {"ref": "ayseyagmursuzgun/datai-team-titanic", "kernel_id": "91194074"}, {"ref": "sevdenursuzgun/datai-team-titanic", "kernel_id": "91194362"}, {"ref": "jenani1105/notebook3f8eb1a19e", "kernel_id": "91333323"}, {"ref": "serjke/titanic-tutorial", "kernel_id": "91504476"}, {"ref": "santiagocosme/titanic-primero-intento", "kernel_id": "91036792"}, {"ref": "anushayemineni/exercise-arithmetic-and-variables", "kernel_id": "91263985"}, {"ref": "muhammadhabib678/titanic-compition-notebook", "kernel_id": "91390177"}, {"ref": "cuwman/data-science-data-visualization-titanic-yasin", "kernel_id": "91571486"}, {"ref": "maythuhnin/intro-to-programming-arithmetic-and-variables", "kernel_id": "91335996"}, {"ref": "beeramsuryachandra/titanic-machine-learning-from-disaster", "kernel_id": "91630607"}, {"ref": "dumindu9/titanic-survival-prediction", "kernel_id": "91244511"}, {"ref": "vaishnavimanick/titanic-top-solution", "kernel_id": "91711754"}, {"ref": "nouranmagedmenshawy/titanic-tutorial-16897c", "kernel_id": "91727774"}, {"ref": "shaymimran/final-titanic-prediction", "kernel_id": "91232624"}, {"ref": "walkershwind/kaggle-titanic", "kernel_id": "91141017"}, {"ref": "sergeimikhalev/titanic1", "kernel_id": "91485412"}, {"ref": "emmeyjia/python-for-data-8-numpy-arrays", "kernel_id": "91370282"}, {"ref": "emmeyjia/titanic-tutorial", "kernel_id": "91960218"}, {"ref": "youyouzhu/getting-started-with-titanic", "kernel_id": "91084409"}, {"ref": "neerajsuresh02/titanic-data-science-solutions-b32056", "kernel_id": "91210646"}, {"ref": "msohaibsiddiqui/titanic-survival-prediction", "kernel_id": "91699594"}, {"ref": "trumanfolkers/notebook2c3f9de2a4", "kernel_id": "91333401"}, {"ref": "benjamineschman/titanic-1", "kernel_id": "91333350"}, {"ref": "maxmason04/lab-1", "kernel_id": "91333449"}, {"ref": "dylanascher2845/notebookcff9b17a3c", "kernel_id": "91333187"}, {"ref": "itsbentacular/notebook1f6db14f51", "kernel_id": "91333372"}, {"ref": "danieldugosh/daniel-dugosh-titanic", "kernel_id": "91336285"}, {"ref": "brooklyntraczykk/lab-1", "kernel_id": "91333457"}, {"ref": "jackvanfossan/notebook8ee0ecbea7", "kernel_id": "91333496"}, {"ref": "rakeshsainathareddy/titanic-note", "kernel_id": "91551930"}, {"ref": "rebeccafares/getting-started-with-titanic", "kernel_id": "91198480"}, {"ref": "yungenchiang/titanic-data-science-solutions", "kernel_id": "91215467"}, {"ref": "samuel7799/titanic-data-science-solutions", "kernel_id": "91228013"}, {"ref": "sweswekhaing199/exercise-arithmetic-and-variables", "kernel_id": "91239999"}, {"ref": "wodaweige/ml-precourse-assessment-112261026", "kernel_id": "91240021"}, {"ref": "chunkai0326/115-1-ml-precourse-assessment-copy", "kernel_id": "91300037"}, {"ref": "lianboyao/ml-precourse-assessment-313515037", "kernel_id": "91242689"}, {"ref": "wadewade/ml-precourse-assessment-113509085", "kernel_id": "91244013"}, {"ref": "nurdin111/data-proccesing", "kernel_id": "91821472"}, {"ref": "erlanbalabekov/data-preproccesing-ex", "kernel_id": "91823428"}, {"ref": "dileeppabbathi/notebookaa837b1d15", "kernel_id": "91801108"}, {"ref": "abingi1/notebookaa837b1d15", "kernel_id": "91807403"}, {"ref": "evvalate/titanic-dataset-data-cleaning-missing-values-an", "kernel_id": "91629418"}, {"ref": "silviaviaviaaa/ml-precourse-assessment", "kernel_id": "91311393"}, {"ref": "giancarlo4/notebook79639bbf52", "kernel_id": "91333931"}, {"ref": "carterscott1/they-sunk-the-olympic-for-insurance", "kernel_id": "91333315"}, {"ref": "dimitrimontgomery/submission-1-url-ml", "kernel_id": "91430718"}, {"ref": "dimitrimontgomery/notebooka8d7670b81", "kernel_id": "91684022"}, {"ref": "kaiakempf/kaia-kempf-titanic-competition", "kernel_id": "91335436"}, {"ref": "nickdire/notebook17c80e5a2a", "kernel_id": "91334689"}, {"ref": "braydenwiles/notebook4d759384c0", "kernel_id": "91333434"}, {"ref": "shawnascher/notebook83f7ea2fca", "kernel_id": "91333440"}, {"ref": "shawnascher/notebooka841b717b6", "kernel_id": "91340161"}, {"ref": "jaykarthikeyan/lab1-1", "kernel_id": "91333869"}, {"ref": "johnwall27/lab-1", "kernel_id": "91333605"}, {"ref": "maximduncan/titanic-notebook", "kernel_id": "91333469"}, {"ref": "saiganeshkalmali/notebook15fe8f2c7f", "kernel_id": "91335083"}, {"ref": "paigecottrell/lab-1", "kernel_id": "91333460"}, {"ref": "paigecottrell/titanic", "kernel_id": "91664124"}, {"ref": "mnewt202/notebooka2f0f01def", "kernel_id": "91334374"}, {"ref": "jenniferrrlinnn/lab-1-ai2010-jennifer", "kernel_id": "91333456"}, {"ref": "maisharchowdhury/ailab-1", "kernel_id": "91333453"}, {"ref": "masongliege/mason-gliege-notebook-1-titanic", "kernel_id": "91333459"}, {"ref": "ajaylalam/lab-01", "kernel_id": "91333814"}, {"ref": "lukeschwieters/notebooke02008a8f3", "kernel_id": "91333428"}, {"ref": "rileyoshel/lab1-ai2010x-oshel", "kernel_id": "91333447"}, {"ref": "benblitvich/titanic-code", "kernel_id": "91333484"}, {"ref": "josephhehr/joseph-hehr-titanic-code", "kernel_id": "91333470"}, {"ref": "emilyolp/lab1-1", "kernel_id": "91333446"}, {"ref": "brendanbrodie/notebookbb9c6a1052", "kernel_id": "91333473"}, {"ref": "shinypokuri5555/ai-2010-lab-1", "kernel_id": "91333622"}, {"ref": "damonlemke/notebook81885c8cba", "kernel_id": "91349366"}, {"ref": "kinghu1111/notebook949dd38074", "kernel_id": "91349407"}, {"ref": "colingeach/titanic-ml-lab", "kernel_id": "91349150"}, {"ref": "lincolnhatlestad/notebookc60564eb45", "kernel_id": "91349532"}, {"ref": "quintincovington2003/notebookf58bd67afd", "kernel_id": "91349494"}, {"ref": "dennismccarville/notebook60932038e3", "kernel_id": "91350830"}, {"ref": "yinxuanliu/hw1-yinxuan-liu", "kernel_id": "91671011"}, {"ref": "nickgoodell/notebook11663fd718", "kernel_id": "91507756"}, {"ref": "kamaltejaannamdasu/titanic-data-science-solutions", "kernel_id": "91510962"}, {"ref": "ashkamp/notebook5ef4ef010c", "kernel_id": "91764589"}, {"ref": "rachanakumar342/titanic-data-science-solutions", "kernel_id": "91584776"}, {"ref": "sanyashah2005/exercise-arithmetic-and-variables", "kernel_id": "91614338"}, {"ref": "thelogicanalyst/start", "kernel_id": "91658163"}, {"ref": "ridhamsonani/titanic-data-science-solutions", "kernel_id": "91778504"}, {"ref": "sahilrajput2103/titanic-data-science-solutions", "kernel_id": "91692851"}, {"ref": "batman9703/titanic-data-science-q2-part1", "kernel_id": "91789608"}, {"ref": "uosifnegm/uosif-ahmed-muhammed-ali", "kernel_id": "91731195"}, {"ref": "amalwaleedorban/notebook90c5cc3797", "kernel_id": "91984046"}, {"ref": "naimeaydin/titanic-data-analysis-python-basics", "kernel_id": "91752145"}, {"ref": "geoffrinjosephantony/exercise-arithmetic-and-variables", "kernel_id": "91771337"}, {"ref": "sahithikatoorii/titanic-data-science-solutions", "kernel_id": "91795280"}, {"ref": "chalshik/data-science-class", "kernel_id": "91816908"}, {"ref": "cobweb0503/notebook53c95efdc5", "kernel_id": "91821528"}, {"ref": "aktankeneshov/my-ml-preprocessing", "kernel_id": "91825083"}, {"ref": "aekmeddad/titanic-survival-prediction", "kernel_id": "91860537"}, {"ref": "eliottetnier1/notebooka01b26ee2f", "kernel_id": "91860799"}, {"ref": "adrianzhang1/titanic-data-science-solutions", "kernel_id": "91949748"}, {"ref": "benranum/predicting-survival-on-the-titanic", "kernel_id": "92323261"}, {"ref": "ofyalcin/notebook23901c0934", "kernel_id": "92492096"}, {"ref": "ofyalcin/notebookc50b646538", "kernel_id": "92284475"}, {"ref": "ofyalcin/notebookdaf9147826", "kernel_id": "92931675"}, {"ref": "ryye107/titanic-challenge-with-the-skrub-data-ops", "kernel_id": "92013980"}, {"ref": "marwansalah02/lab-1-notebook-55-20836-marawan-salah", "kernel_id": "92779449"}, {"ref": "mmakemd/lesson-1", "kernel_id": "92553066"}, {"ref": "krishnakanth2401/titanic-data-science-solutions-version2", "kernel_id": "92764014"}, {"ref": "krishnakanth2401/titanic-data-science-solutions-version1", "kernel_id": "92764687"}, {"ref": "krishnakanth2401/titanic-data-science-solutions", "kernel_id": "92761842"}, {"ref": "bekhruzazam/titanic-tutorial", "kernel_id": "92921512"}, {"ref": "sherlemious/lab-1", "kernel_id": "92785491"}, {"ref": "manav2000/titanic-data-science-solutions", "kernel_id": "92689797"}, {"ref": "badarchenhchimeg/re-skilling-data-analysis-titanic", "kernel_id": "92118579"}, {"ref": "nikhilkanodia/titanic-data-science-solutions", "kernel_id": "92611829"}, {"ref": "pablopuvi/titanic-ml-challenge", "kernel_id": "92576901"}, {"ref": "shahriarswopnil/exercise-arithmetic-and-variables", "kernel_id": "92745356"}, {"ref": "varuch/primeros-pasos-titanic-first-steps-titanic", "kernel_id": "92139872"}, {"ref": "mukilanar/getting-started-with-titanic", "kernel_id": "92765926"}, {"ref": "uom190346a/titanic-survival-prediction", "kernel_id": "92530131"}, {"ref": "alligator452/titanic-data-science-solutions-yash", "kernel_id": "92016075"}, {"ref": "tyreinkim/titanic-analysis-n-prediction", "kernel_id": "92843064"}, {"ref": "ataullhasaim/titanic-demo-competition-for-students", "kernel_id": "92910786"}, {"ref": "angrezichatterbox/titanic-challenge", "kernel_id": "92989956"}, {"ref": "corsoslair/titanic-survival-prediction-rf-vs-logistic-regr", "kernel_id": "92939552"}, {"ref": "corsoslair/kaggle-starters-titanic-survival-prediction", "kernel_id": "92179112"}, {"ref": "gadoahmed/acl-graded01", "kernel_id": "92623298"}, {"ref": "adelian/notebookb410052c4a", "kernel_id": "92123679"}, {"ref": "osamahaque/data-preprocessing", "kernel_id": "92032387"}, {"ref": "ahmedsameh7433/lab-1", "kernel_id": "92637971"}, {"ref": "karanpatwa/titanic-data-science-solutions-3418b2", "kernel_id": "92776017"}, {"ref": "karanpatwa/titanic-data-science-solutions", "kernel_id": "92596162"}, {"ref": "alimujtaba68/exercise-arithmetic-and-variables", "kernel_id": "92451362"}, {"ref": "wesleymeyer/notebook6b21d62d9a", "kernel_id": "92279647"}, {"ref": "patrickckay/titanic-data-and-model-exploration", "kernel_id": "92855535"}, {"ref": "ahmedtahagad/lab-1", "kernel_id": "92898087"}, {"ref": "cathleengracia/decision-tree", "kernel_id": "92318573"}, {"ref": "melihekremyaz/machine-learning", "kernel_id": "92826111"}, {"ref": "lokendra12345/exercise-arithmetic-and-variables", "kernel_id": "92483346"}, {"ref": "raedjoumaa/acl-in-lab-task-1", "kernel_id": "92594544"}, {"ref": "samalouty/lab1-acl-55-0842", "kernel_id": "92701716"}, {"ref": "namdh1706/titanic", "kernel_id": "92134139"}, {"ref": "ianmckinnerney/titanic", "kernel_id": "92271640"}, {"ref": "sostar0832/mlp1-titanic", "kernel_id": "92608404"}, {"ref": "abduljalilnaibi/getting-started-with-titanic", "kernel_id": "92968572"}, {"ref": "clarissaad/titanic-classification-dl-lg01", "kernel_id": "92887134"}, {"ref": "tihon2010/titanic-0-78229", "kernel_id": "92349458"}, {"ref": "siddhale937e92739/graph-of-titanic", "kernel_id": "92063320"}, {"ref": "kenanjonge/titanic-dataset", "kernel_id": "92995466"}, {"ref": "veryape/titanic-prediction-notebook-01", "kernel_id": "92445445"}, {"ref": "wafaaelhusseini/titanic-eda", "kernel_id": "92995131"}, {"ref": "franchescomiranotti/titanic-panchoardiles-v-explo", "kernel_id": "92689687"}, {"ref": "veereshkoliwad/titanic-data-science-solutions-50fca0", "kernel_id": "92772646"}, {"ref": "veereshkoliwad/titanic-data-science-solutions", "kernel_id": "92770024"}, {"ref": "miyukicodes/titanic-predict", "kernel_id": "92519430"}, {"ref": "rishgeeky/binning-titanic", "kernel_id": "92099838"}, {"ref": "melisozvardar/titanic-beginner", "kernel_id": "92125281"}, {"ref": "radwaibrahim0/task1-55-0984", "kernel_id": "92637527"}, {"ref": "c9sphere/titanic-survival-prediction", "kernel_id": "92677467"}, {"ref": "seifeldinmoheb/notebook16023828b8", "kernel_id": "92618224"}, {"ref": "abdelrahmanelaby/lab1-t27", "kernel_id": "92701159"}, {"ref": "zeinashalabyy/lab-1", "kernel_id": "92847746"}, {"ref": "omarwalid04/lab1-inclass-ai", "kernel_id": "92752311"}, {"ref": "omarwalid04/lab1-inclass-ai-graded-omar-walid-55-25394", "kernel_id": "92752777"}, {"ref": "yusufilgaz/women-class-and-fate-titanic-survival-analysis", "kernel_id": "92252392"}, {"ref": "jalpatel111/titanic-data-science-solutions-jal-patel-improved", "kernel_id": "92601411"}, {"ref": "valentypo/deep-learning-session-3", "kernel_id": "92887139"}, {"ref": "ayovaibhavv/notebooka9a3efeb19", "kernel_id": "92901372"}, {"ref": "sakshissheth/titanic-data-science-solutions", "kernel_id": "92000811"}, {"ref": "jayasimhav/notebook187f84161d", "kernel_id": "92077000"}, {"ref": "hardikim/mlp-team", "kernel_id": "92984781"}, {"ref": "kcro42/titanic-linear-regression-age-prediction", "kernel_id": "92887554"}, {"ref": "hoagannhh/titanic-ml", "kernel_id": "92147875"}, {"ref": "evelynbrannen/homework-1-titanic-data-science-solutions-7b89e8", "kernel_id": "92605297"}, {"ref": "engalaagabr/titanic-survival-prediction", "kernel_id": "92603312"}, {"ref": "amreteshmishra/competition-1", "kernel_id": "92171700"}, {"ref": "kushpamnani/notebookededc8b91e", "kernel_id": "92418156"}, {"ref": "lukasstanek/titanic-survival-prediction", "kernel_id": "92092747"}, {"ref": "marlymkg/lab-1", "kernel_id": "92699462"}, {"ref": "akshay229/ml-lab-3", "kernel_id": "92131905"}, {"ref": "everycreationsmatter/project-2-titanic-machine-learning-from-disaster", "kernel_id": "92654910"}, {"ref": "moabdelazeem/acl-lab-1", "kernel_id": "92718495"}, {"ref": "yusufmagdy/notebook5012f96a9b", "kernel_id": "92976883"}, {"ref": "sant0x/data-visualization", "kernel_id": "92897512"}, {"ref": "imsukran/titanic-org", "kernel_id": "92918988"}, {"ref": "manaspurandare/lab1-1", "kernel_id": "92429834"}, {"ref": "smilemangla/my-titanic", "kernel_id": "92800851"}, {"ref": "salmaelhabashy/csen903-task-1", "kernel_id": "92621414"}, {"ref": "himanshicutie/titanic-dataset", "kernel_id": "92670365"}, {"ref": "joliemagdy/task-1", "kernel_id": "92624069"}, {"ref": "akayhann/aka-titanic", "kernel_id": "92929007"}, {"ref": "alyserry/lab-1-graded-aly-serry-55-5284", "kernel_id": "92798421"}, {"ref": "hebaessam55/acllab1", "kernel_id": "92598385"}, {"ref": "mostafaahmedali/gradedtask1", "kernel_id": "92565546"}, {"ref": "mennayasser777/acl-lab-1", "kernel_id": "92597733"}, {"ref": "mohamedshaker6/lab1-task", "kernel_id": "92618207"}, {"ref": "omarfarhoud/notebook0fa50a469f", "kernel_id": "92616693"}, {"ref": "janazeinn/notebook434dbb1f99", "kernel_id": "92616700"}, {"ref": "hallatarek/lab-acl", "kernel_id": "92720358"}, {"ref": "mariamamrrr/lab-2", "kernel_id": "92798031"}, {"ref": "ramezhany986/lab-01-acl", "kernel_id": "92617647"}, {"ref": "mohamedmenshawy424/lab-1-task", "kernel_id": "92407782"}, {"ref": "mohamedelsawy03/notebookc1192740f2", "kernel_id": "92784046"}, {"ref": "dinaahmedsaid/lab-1", "kernel_id": "92794621"}, {"ref": "youssefalaa22/notebook7355247f57", "kernel_id": "92783423"}, {"ref": "abdelrahmanemad11/acl-2-lab-1-55-16066", "kernel_id": "92675556"}, {"ref": "youssefwadie/acl-ii-lab1", "kernel_id": "92897827"}, {"ref": "habibaelsonbaty/lab1-t27", "kernel_id": "92701282"}, {"ref": "ziadmelgendy/csen903-lab-1", "kernel_id": "92779016"}, {"ref": "faridaelhadidy/notebook7cd1247765", "kernel_id": "92617923"}, {"ref": "ahmedshawkiy/lab-1", "kernel_id": "92896039"}, {"ref": "arwataha/acl-lab1", "kernel_id": "92719136"}, {"ref": "janaabdelbaky/acl-lab-1", "kernel_id": "92618227"}, {"ref": "carolakmal/acl-lab-1", "kernel_id": "92779608"}, {"ref": "youssefheshamkandil/acl-lab1", "kernel_id": "92674798"}, {"ref": "mohanadyehia49/lab-1-notebook", "kernel_id": "92886051"}, {"ref": "youssefyassereloraby/lab-1", "kernel_id": "92897415"}, {"ref": "omosallam/acl-lab1", "kernel_id": "92638672"}, {"ref": "ayamohamedzayed11/lab-1-notebook", "kernel_id": "92553787"}, {"ref": "sylviafaris/lab-1", "kernel_id": "92781385"}, {"ref": "mennaessamm123/mennatullahessamomar-lab1", "kernel_id": "92781343"}, {"ref": "hassankhaledxx/lab-1", "kernel_id": "92505127"}, {"ref": "arnatsrichan/titanic-65200380", "kernel_id": "92808889"}, {"ref": "mahmoudahroug/lab-1-acl", "kernel_id": "92701363"}, {"ref": "ahmedamrabolfadl/acl-lab1", "kernel_id": "92628442"}, {"ref": "rajathiagaraj/titanic-compettion2-trial2", "kernel_id": "92878142"}, {"ref": "rajathiagaraj/titanic-competition-trail-1", "kernel_id": "92245384"}, {"ref": "zeinafadel/lab1-t20", "kernel_id": "92779658"}, {"ref": "amrhesham1/notebook4b5a2131eb", "kernel_id": "92626055"}, {"ref": "mostafahathout/lab-1-acl", "kernel_id": "92701092"}, {"ref": "mohameelbaramawy/task2", "kernel_id": "92785156"}, {"ref": "omarabushanab/notebook5a841e55a8", "kernel_id": "92798538"}, {"ref": "mohamedabdulbaki/lab1-acl", "kernel_id": "92752092"}, {"ref": "ahmedwael04/acl-lab-1", "kernel_id": "92584017"}, {"ref": "omartamerr10/notebook2122d262b9", "kernel_id": "92638989"}, {"ref": "pranava007/msspranavasai-titanic", "kernel_id": "92392619"}, {"ref": "ziadamgad/lab-1-assignment", "kernel_id": "92704491"}, {"ref": "youssef3bsattar/acl2-lab-task1", "kernel_id": "92672284"}, {"ref": "mohamedwaelw2s/lab-week-1", "kernel_id": "92981945"}, {"ref": "nadinetarikk/lab-1-task", "kernel_id": "92780979"}, {"ref": "nourdaoud/lab1acl", "kernel_id": "92896865"}, {"ref": "biswaskhatiwada/lab1-ai2010", "kernel_id": "92949484"}, {"ref": "abdelrahmanmokhtar8/lab-1-11", "kernel_id": "92618989"}, {"ref": "kangzishi/titan111", "kernel_id": "92254070"}, {"ref": "ahmedgasser20150/lab-1-acl-ii", "kernel_id": "92850430"}, {"ref": "anastamerr/notebookffe5a554c6", "kernel_id": "92899588"}, {"ref": "alimahmoud153/lab-1", "kernel_id": "92619139"}, {"ref": "abdellatifmohammed/randomforest-boosting-bagging-and-decisiontree", "kernel_id": "92681739"}, {"ref": "fareedasaad/notebookffadc6b5c7", "kernel_id": "92700824"}, {"ref": "jmtan0/titanic-all-models-runner", "kernel_id": "92536270"}, {"ref": "ramezmagdykamal/acl-lab-1", "kernel_id": "92669788"}, {"ref": "vinhthaiii/lab333", "kernel_id": "92571643"}, {"ref": "arwakhattab/lab-1", "kernel_id": "92798037"}, {"ref": "malakelmasry25/lab1-malakelmasry-55-2369", "kernel_id": "92719561"}, {"ref": "manasipatra/exercise-arithmetic-and-variables", "kernel_id": "92380906"}, {"ref": "mariamaslan/lab-1-notebook", "kernel_id": "92157709"}, {"ref": "lorrancintra/titanic-4-hybrid-ensemble-final", "kernel_id": "92289007"}, {"ref": "rashi873/notebookb9a0a66c41", "kernel_id": "92697425"}, {"ref": "ibrahimashmawy/lab-1-ac", "kernel_id": "92700924"}, {"ref": "hrishikeshuchake/notebook38dfae806b", "kernel_id": "92197058"}, {"ref": "youssefhipa/lab-week-1", "kernel_id": "92971325"}, {"ref": "nadkli/nadkli-titanic-demo-250731", "kernel_id": "92058669"}, {"ref": "mikrocosmos/titanic", "kernel_id": "92975629"}, {"ref": "samaswaraj/experiment-7", "kernel_id": "92927207"}, {"ref": "mananpanchal18/titanic-learning", "kernel_id": "92664641"}, {"ref": "rahat51/rk-524181", "kernel_id": "92649300"}, {"ref": "rahulm24/exercise-4", "kernel_id": "92724865"}, {"ref": "nikitakarachev/titanic-first", "kernel_id": "92267512"}, {"ref": "pruebasjdoc/notebook59a2f420a4", "kernel_id": "92942353"}, {"ref": "mariemhesham/titanic-tutorial-0c8b08", "kernel_id": "92755253"}, {"ref": "kartikraman/getting-started-with-titanic", "kernel_id": "92063250"}, {"ref": "omareladlysalem/notebook0b43c60985", "kernel_id": "92620084"}, {"ref": "usmohamed/titanic-data-a-step-by-step-guide-for-first-time", "kernel_id": "92842264"}, {"ref": "tejas141/ex-6-208", "kernel_id": "92981396"}, {"ref": "tejas141/ex-5-208", "kernel_id": "92772420"}, {"ref": "susovanpaul137/filter-based-feature-selection", "kernel_id": "92526810"}, {"ref": "lucsloureno/trabalhominera-o-lucas-dos-santos-lourenco-t01n", "kernel_id": "92366138"}, {"ref": "gitanjalisoni/exercise-arithmetic-and-variables", "kernel_id": "92707759"}, {"ref": "longtran247/getting-started-with-titanic", "kernel_id": "92767182"}, {"ref": "vikasawasthiji/firstproject-titanic", "kernel_id": "92262502"}, {"ref": "zuhanadeemnawaz/titanic-survivor-predictor", "kernel_id": "92720925"}, {"ref": "nafisaa445/notebookeb7090c839", "kernel_id": "92088535"}, {"ref": "haneenmohammed13/eda-and-visualizing-titanic-dataset", "kernel_id": "92042482"}, {"ref": "maaneshmohanraj/titanic-data-science-solutions", "kernel_id": "92485794"}, {"ref": "manya9849/titanic-survival-prediction-version-2", "kernel_id": "92473962"}, {"ref": "annweshonmitrabrinto/titanic-dataset-original", "kernel_id": "92401741"}, {"ref": "williamsterenchuk/notebook2", "kernel_id": "92087479"}, {"ref": "adrianordazavitia/notebook2222adb091", "kernel_id": "92024750"}, {"ref": "adrianordazavitia/notebook9aac54aa9c", "kernel_id": "92025799"}, {"ref": "sebastianurregogr/titanic-machine-learning", "kernel_id": "92942393"}, {"ref": "moissmarnbedoya/titanic-moises-marin", "kernel_id": "92942344"}, {"ref": "cacalos121/titanic-daniel-medina", "kernel_id": "92942397"}, {"ref": "algorithm711/titanic-lab-1", "kernel_id": "92939187"}, {"ref": "harrison890417/titanic-data-science-solutions", "kernel_id": "92695506"}, {"ref": "miracle555/titanic", "kernel_id": "92566733"}, {"ref": "muhammadnayifsiregar/1-nyoba-tutorial-titanic-ai-ml-for-disaster", "kernel_id": "92627403"}, {"ref": "ronalds02/titanic", "kernel_id": "92019193"}, {"ref": "marwanalimohamed/titanic-survival-prediction", "kernel_id": "92603358"}, {"ref": "takeyukioshima/titanic-data-science-solutions", "kernel_id": "92672537"}, {"ref": "senthil2210/titanic-data-science-solutions-8a463c", "kernel_id": "92755501"}, {"ref": "mohammedwaleed11/notebook2c8564400a", "kernel_id": "92638223"}, {"ref": "malekali1/lab-1-notebook-data-wrangling-and-visualization", "kernel_id": "92174202"}, {"ref": "daniyal001/aiml-l03-2026", "kernel_id": "92452261"}, {"ref": "engineergraduate/getting-started-with-titanic", "kernel_id": "92630488"}, {"ref": "commitwithayush/exercise-arithmetic-and-variables", "kernel_id": "92341487"}, {"ref": "satyasaivarunb/titanic-data-science-solutions", "kernel_id": "92767780"}, {"ref": "wsessoms/hw1-skl-version", "kernel_id": "92403815"}, {"ref": "wsessoms/hw1-from-scratch-version", "kernel_id": "92512422"}, {"ref": "wanganxiang/titanic250919", "kernel_id": "92542403"}, {"ref": "joeyhehr/notebooka5d49b90a9", "kernel_id": "92470002"}, {"ref": "kamalsk5/assignment-2", "kernel_id": "92584232"}, {"ref": "ahusseinali/notebooke7795d036e", "kernel_id": "92618523"}, {"ref": "ogaber/acl-lab-1", "kernel_id": "92618493"}, {"ref": "shahdheshammm/notebook3b78032a06", "kernel_id": "92626770"}, {"ref": "amrmegahed03/notebookb0ed5f2749", "kernel_id": "92619784"}, {"ref": "abdulrahmanmahdi/lab1-graded-task", "kernel_id": "92624383"}, {"ref": "elshamy814/notebookb684d7c453", "kernel_id": "92672026"}, {"ref": "vijaikumar07/titanic-data-science-solutions", "kernel_id": "92635489"}, {"ref": "alybasyouni/acl-lab-1", "kernel_id": "92636914"}, {"ref": "omarsobhy03/lab-2-task", "kernel_id": "92641778"}, {"ref": "brearleysailsbury/notebook94eae26254", "kernel_id": "92647097"}, {"ref": "balamadhansivaraman/titanic-data-science-solutions", "kernel_id": "92671480"}, {"ref": "moustafaismail26/acl-lab-1", "kernel_id": "92701072"}, {"ref": "rubinasameh/lab-1", "kernel_id": "92702416"}, {"ref": "yongsaksaengsuk/tinanics", "kernel_id": "92710405"}, {"ref": "pavankalyanlingutla/dm-hw1", "kernel_id": "92712677"}, {"ref": "abohema7/hema-s-acl-lab1", "kernel_id": "92720879"}, {"ref": "mohamedtamer2025/in-lab-1", "kernel_id": "92801854"}, {"ref": "omarharidy1/acllap1", "kernel_id": "92748617"}, {"ref": "syedkhubaibshaheen/titanic-data-science-solutions", "kernel_id": "92762767"}, {"ref": "tinnaphoppromkum/65200134", "kernel_id": "92768652"}, {"ref": "yassinnossair/lab-number-1", "kernel_id": "92781186"}, {"ref": "soyoung27/titanic-step3", "kernel_id": "92794370"}, {"ref": "mariaeskaros/acl-lab1-maria-ashraf", "kernel_id": "92784257"}, {"ref": "muhaiminmama/65200277-muhaimin", "kernel_id": "92799584"}, {"ref": "talaatjr/lab1-notebook", "kernel_id": "92797777"}, {"ref": "ahmedsamehhelmy/lab-1", "kernel_id": "92797738"}, {"ref": "mohamedash33/notebook002da8e85a", "kernel_id": "92798074"}, {"ref": "adammongy/notebook86d34b9c3c", "kernel_id": "92802384"}, {"ref": "navvone/exercise-arithmetic-and-variables-20250922", "kernel_id": "92817786"}, {"ref": "maanning/get-start-titanic", "kernel_id": "92849807"}, {"ref": "mohamedaboghanima/lap-1", "kernel_id": "92896243"}, {"ref": "mohamedhefnyelraei/lab1-task", "kernel_id": "92896455"}, {"ref": "alishaheenck/lab-1", "kernel_id": "92897394"}, {"ref": "hussienhaitham/acl2-lab-1", "kernel_id": "92897964"}, {"ref": "woqlsophos0147/notebook-tytanic", "kernel_id": "92899681"}, {"ref": "bishaladhikari07/titanic-survival", "kernel_id": "92963001"}, {"ref": "yousefabdelmegeed/acl-lab-1", "kernel_id": "92973416"}, {"ref": "abdelrahmantamer213/notebookfbabbe36ce", "kernel_id": "92971184"}, {"ref": "youssefallam1/notebookc84ae68910", "kernel_id": "92974267"}, {"ref": "yassinbareh/notebook81413cc94b", "kernel_id": "92978616"}, {"ref": "khaledsaid/titanic-dt-vs-rf-vs-gbm-vs-xgboost-vs-lightgbm", "kernel_id": "93646637"}, {"ref": "shahyan/notebook6238d52bd8", "kernel_id": "93221273"}, {"ref": "ofyalcin/notebook0b9a6d1d5a", "kernel_id": "93119855"}, {"ref": "bdjohnson/titanic", "kernel_id": "93094818"}, {"ref": "rafaelsaraivacampos/applying-a-perceptron-to-the-titanic-dataset", "kernel_id": "93426476"}, {"ref": "rafaelsaraivacampos/p1e6-titanic", "kernel_id": "93619899"}, {"ref": "marwansalah02/lab2-marawan-khalil", "kernel_id": "93353666"}, {"ref": "sitrakamatthew/ddefi-cours-1-202526", "kernel_id": "93695360"}, {"ref": "mirriamjepleting/mirriam-jepleting-ed-analysis", "kernel_id": "93487608"}, {"ref": "andyc97/titanic-s-survival-prediction-with-lightgbm", "kernel_id": "93000935"}, {"ref": "mahymohamed/tut-2", "kernel_id": "93097774"}, {"ref": "dishmaheshwari/titanic-decision-tree-vs-lightgbm-vs-xgboost", "kernel_id": "93730803"}, {"ref": "sherlemious/lab-2-abdelrahman-mohammed-55-4626", "kernel_id": "93389075"}, {"ref": "ziadelgammal122/notebook7a18f643a9", "kernel_id": "93911461"}, {"ref": "youssefrfarid/lab-2-acl", "kernel_id": "93318852"}, {"ref": "saubhagyaverma/day-3-spark-structured-apis-ii", "kernel_id": "93821236"}, {"ref": "ahmedkamal95/lab1-graded-task", "kernel_id": "93567435"}, {"ref": "ahmedkamal95/lab2-graded-task", "kernel_id": "93317039"}, {"ref": "ahmedkamal95/lab-4-graded-task", "kernel_id": "93987429"}, {"ref": "abdelrahimabdelazim/notebookefb510889e", "kernel_id": "93235024"}, {"ref": "abdelrahimabdelazim/lab3-task-solution", "kernel_id": "93881393"}, {"ref": "stephaniemkalama/stephanie-mkalama-cs-da02-25011-eda-final", "kernel_id": "93946367"}, {"ref": "amrhazemhegazy/in-lab2-scikit-learn", "kernel_id": "93334407"}, {"ref": "aryanbadiee/titanic-competition", "kernel_id": "93358986"}, {"ref": "sheikhmmohsin/notebookd54e0b02ca", "kernel_id": "93132207"}, {"ref": "hailingliu/titanic-fastai-basic", "kernel_id": "93419262"}, {"ref": "gogagogali/7-3-titanic-prediction", "kernel_id": "93021028"}, {"ref": "yang25/mlp-p1-t10", "kernel_id": "93390552"}, {"ref": "surajksharma7/filter-based-feature-selection", "kernel_id": "93058972"}, {"ref": "gadoahmed/in-lab2-scikit-learn", "kernel_id": "93236035"}, {"ref": "omargoba/acl-lab-02", "kernel_id": "93388699"}, {"ref": "rizwanahmadansari/gpt-titanic", "kernel_id": "93352527"}, {"ref": "waseemasgharkhan/ml-random-forest-algorithm", "kernel_id": "93802952"}, {"ref": "yousefyasser03/lab-2", "kernel_id": "93257163"}, {"ref": "mennatallahhalawa/in-lab2-scikit-learn", "kernel_id": "93364034"}, {"ref": "alikoheil/acl-lab-2", "kernel_id": "93302499"}, {"ref": "gmedhat42/lab2-task", "kernel_id": "93256232"}, {"ref": "evanselunani/notebook-titanic", "kernel_id": "93517469"}, {"ref": "nadawaleed4/lab-2", "kernel_id": "93389063"}, {"ref": "khaledamr172/khaled-amr-acl2-lab2", "kernel_id": "93404741"}, {"ref": "youssefmalek/lab-2-youssef-malek", "kernel_id": "93335216"}, {"ref": "amrnegm/notebook622039d77b", "kernel_id": "93316378"}, {"ref": "amrnegm/lab2-sl", "kernel_id": "93298091"}, {"ref": "kibowen8/faith-jeptoo-cs-da02-25005-week-3", "kernel_id": "93987721"}, {"ref": "psycheenyx/praktikum-ml-3", "kernel_id": "93567754"}, {"ref": "newtonai/newton-barasa-cs-da02-25108-eda", "kernel_id": "93997119"}, {"ref": "mamunr01/decision-tree-baseline-titanic-challenge", "kernel_id": "93063530"}, {"ref": "mahmoudhanyhebishy/in-lab2-scikit-learn", "kernel_id": "93389296"}, {"ref": "samalouty/in-lab2-scikit-learn", "kernel_id": "93320505"}, {"ref": "ahmedelhalwagy3/lab-2", "kernel_id": "93254393"}, {"ref": "arishkanyam/ml-titanic-step1", "kernel_id": "93327388"}, {"ref": "muzamilhussainabbasi/project-ml-vahan", "kernel_id": "93185927"}, {"ref": "yousefelbrolosy/in-lab2-scikit-learn-6a826b", "kernel_id": "93235859"}, {"ref": "ahmedsaidabbas/lab2-55-18839", "kernel_id": "93388592"}, {"ref": "julianysthr/titanic-yuliani-castilla", "kernel_id": "93848685"}, {"ref": "shwetashwet/exercise-arithmetic-and-variables", "kernel_id": "93387108"}, {"ref": "mohammedalialzobudi/notebook3453e44080", "kernel_id": "93419811"}, {"ref": "arushiahuja2612/a-titanic", "kernel_id": "93519157"}, {"ref": "kevinmulundi/kevin-kioko-cs-da02-25065-eda", "kernel_id": "93518725"}, {"ref": "deborahkwamboka/deborah-kwamboka-cs-da02-25075-eda", "kernel_id": "93581887"}, {"ref": "roxhhh/tensorflow-decision-forests", "kernel_id": "93105211"}, {"ref": "roxhhh/getting-started-with-titanic", "kernel_id": "93102144"}, {"ref": "umeshkumarrai123/titanic-classification-project", "kernel_id": "93235500"}, {"ref": "hoianthi/titanic-aht", "kernel_id": "93640875"}, {"ref": "ganesehpasnurwar/titanic-disaster-using-ml-models", "kernel_id": "93009658"}, {"ref": "daviddgeorge/task-2-55-26933", "kernel_id": "93337510"}, {"ref": "radwaibrahim0/lab-3", "kernel_id": "93889945"}, {"ref": "radwaibrahim0/in-lab2-scikit-learn", "kernel_id": "93241035"}, {"ref": "ahmedhatembackar/in-lab2-scikit-learn", "kernel_id": "93235887"}, {"ref": "nourribrahim/in-lab2-scikit-learn", "kernel_id": "93197577"}, {"ref": "seifeldinmoheb/in-lab2-scikit-learn", "kernel_id": "93480737"}, {"ref": "adamadhamm/acl-lab2", "kernel_id": "93316673"}, {"ref": "rofaeil/notebookdbd51c3cb9", "kernel_id": "93987035"}, {"ref": "mazenabdelhamid/lab-2", "kernel_id": "93236038"}, {"ref": "abhinavtiwari2005/titanic-survival-prediction", "kernel_id": "93944197"}, {"ref": "abdelrahmanelaby/lab2-t27", "kernel_id": "93315611"}, {"ref": "zeinashalabyy/lab-2", "kernel_id": "93493350"}, {"ref": "omarwalid04/assignment2-ai", "kernel_id": "93400294"}, {"ref": "yusufilgaz/titanic-survival-baseline-logistic-regression", "kernel_id": "93004534"}, {"ref": "justziad/lab-2-55-1371", "kernel_id": "93402347"}, {"ref": "farah065/lab-2", "kernel_id": "93333286"}, {"ref": "barkha05/starting-with-titanic", "kernel_id": "93603688"}, {"ref": "nikolinebjerhof/getting-started-with-titanic", "kernel_id": "93428140"}, {"ref": "christian7889/christian-and-felix-notebook-for-1b", "kernel_id": "93694137"}, {"ref": "nobuarg/kaggle-titanic-sub-1", "kernel_id": "93424883"}, {"ref": "nobuarg/titanic-kaggle-sub", "kernel_id": "93316392"}, {"ref": "gracenganga/grace-nganga-eda", "kernel_id": "93603534"}, {"ref": "kotovaks/lesson-1", "kernel_id": "93209612"}, {"ref": "snehasaheesan/sailing-through-data-predicting-titanic-survivors", "kernel_id": "93823666"}, {"ref": "senademirba/titanic-comparing-ml-models-roc-analysis", "kernel_id": "93431465"}, {"ref": "theallkeeeymist/titanic-dataset", "kernel_id": "93313228"}, {"ref": "khimnguynth/titanic-ml", "kernel_id": "93562568"}, {"ref": "keithkarani/keith-karani-cs-da02-25089", "kernel_id": "93792912"}, {"ref": "shouryagupta01/predicting-the-titanic-survival", "kernel_id": "93507185"}, {"ref": "marlymkg/lab-2", "kernel_id": "93316688"}, {"ref": "marlymkg/lab-3", "kernel_id": "93984283"}, {"ref": "mikhailgeorgesamir/lab-2-acl-mikhail-george-55-1895", "kernel_id": "93388462"}, {"ref": "zrmarwan/lab-2-acl", "kernel_id": "93301885"}, {"ref": "leizhong82/titanic-neural-network-submission", "kernel_id": "93290525"}, {"ref": "leizhong82/titanic-rule-based-model", "kernel_id": "93308566"}, {"ref": "youssefabdelaziz4312/lab2-test", "kernel_id": "93391079"}, {"ref": "sant0x/basics-of-neural-networks-with-tensorflow", "kernel_id": "93880608"}, {"ref": "sant0x/machine-learning-foundations", "kernel_id": "93237406"}, {"ref": "salmaelhabashy/lab-2", "kernel_id": "93237324"}, {"ref": "shubhamkumawat722/exercise-arithmetic-and-variables", "kernel_id": "93005065"}, {"ref": "geekyroshan/titanic-survival-prediction", "kernel_id": "93246369"}, {"ref": "lojaineelghandour/lab3-takehome", "kernel_id": "93905086"}, {"ref": "lojaineelghandour/acl-lab-2", "kernel_id": "93253852"}, {"ref": "seiftarek158/in-lab2-scikit-learn", "kernel_id": "93315601"}, {"ref": "joliemagdy/acl-lab2-task", "kernel_id": "93237414"}, {"ref": "mohamedalabdelal/acl-lab", "kernel_id": "93388458"}, {"ref": "momenhesham10/acl-lab2", "kernel_id": "93345569"}, {"ref": "alyserry/lab-2-graded-aly-serry-55-5284", "kernel_id": "93401522"}, {"ref": "hebaessam55/acl-lab3", "kernel_id": "93805851"}, {"ref": "hebaessam55/acl-lab2", "kernel_id": "93213719"}, {"ref": "hebaessam55/acl-lab2-2", "kernel_id": "93240296"}, {"ref": "mostafaahmedali/in-lab2-scikit-learn", "kernel_id": "93205234"}, {"ref": "mennayehiahassan/notebook6c3e8a191d", "kernel_id": "93313097"}, {"ref": "nadahaytham/acl-lab-2", "kernel_id": "93402516"}, {"ref": "amrkhaled617/lab-2", "kernel_id": "93316322"}, {"ref": "mennayasser777/acl-lab2", "kernel_id": "93213395"}, {"ref": "youssefeslam1/acllab2", "kernel_id": "93401994"}, {"ref": "kerollosashraf289/in-lab2-scikit-learn", "kernel_id": "93254880"}, {"ref": "mohamedmenshawy424/lab-2-task", "kernel_id": "93296783"}, {"ref": "mohamedmenshawy424/lab-3-task", "kernel_id": "93985846"}, {"ref": "carolishak/lab-3", "kernel_id": "93988469"}, {"ref": "mohamedelsawy03/notebookec2656bed7", "kernel_id": "93387934"}, {"ref": "dinaahmedsaid/lab-2", "kernel_id": "93400203"}, {"ref": "abdelrahmanemad11/labtask-2-55-16066", "kernel_id": "93285848"}, {"ref": "youssefwadie/acl-ii-lab2", "kernel_id": "93445934"}, {"ref": "omarashraffz/notebook7cb7914bbd", "kernel_id": "93479704"}, {"ref": "habibaelsonbaty/lab-02", "kernel_id": "93315479"}, {"ref": "habibaelsonbaty/lab-3", "kernel_id": "93986335"}, {"ref": "minaremon12/notebookda8885c7c8", "kernel_id": "93335060"}, {"ref": "ziadmelgendy/csen903-lab-2", "kernel_id": "93387729"}, {"ref": "faridaelhadidy/notebookffd519177b", "kernel_id": "93235934"}, {"ref": "ahmedshawkiy/lab-2", "kernel_id": "93493660"}, {"ref": "gamerahad/titanic-survival-prediction-with-deep-learning", "kernel_id": "93328051"}, {"ref": "arwataha/notebook53e8a7f80f", "kernel_id": "93321075"}, {"ref": "janaabdelbaky/acl-lab-2", "kernel_id": "93236575"}, {"ref": "janagado/trail2", "kernel_id": "93290271"}, {"ref": "mohanadyehia49/lab-2-notebook", "kernel_id": "93478607"}, {"ref": "yaraaltantawy/acl-lab-2", "kernel_id": "93328934"}, {"ref": "youssefyassereloraby/lab-2", "kernel_id": "93493006"}, {"ref": "omosallam/acl-lab-3", "kernel_id": "93863939"}, {"ref": "omosallam/acl-lab-2", "kernel_id": "93211389"}, {"ref": "sharmagayatri/titanic-machine-learning-from-disaster-0-78468", "kernel_id": "93665665"}, {"ref": "ralool/lab2-task", "kernel_id": "93389231"}, {"ref": "ayamohamedzayed11/lab-3-notebook", "kernel_id": "93591980"}, {"ref": "ayamohamedzayed11/lab-2-notebook", "kernel_id": "93175603"}, {"ref": "sylviafaris/lab2-55-24910", "kernel_id": "93365226"}, {"ref": "mennaessamm123/mennatullahessam-lab2", "kernel_id": "93365231"}, {"ref": "hassankhaledxx/acl-lab-2", "kernel_id": "93183410"}, {"ref": "hassankhaledxx/lab-3-acl", "kernel_id": "93625824"}, {"ref": "michaelweesa/lab2-michaelmaged", "kernel_id": "93333683"}, {"ref": "carolinemurithi/caroline-murithi-cs-da02-25052-eda-assgn", "kernel_id": "93691846"}, {"ref": "mariammohamedsamir/notebook8520941b2c", "kernel_id": "93388249"}, {"ref": "mohamedshady3/in-lab2-scikit-learn", "kernel_id": "93495511"}, {"ref": "roaahytham/acl-l2", "kernel_id": "93252714"}, {"ref": "mahmoudahroug/in-lab2-scikit-learn", "kernel_id": "93317128"}, {"ref": "marinasamir02/lab2-marina-samir-55-1622", "kernel_id": "93387416"}, {"ref": "touchmefirst/data-mining", "kernel_id": "93339713"}, {"ref": "touchmefirst/data-mining-edit", "kernel_id": "93413529"}, {"ref": "ahmedamrabolfadl/acl-lab2", "kernel_id": "93191900"}, {"ref": "ahmedamrabolfadl/acl-lab3", "kernel_id": "93828410"}, {"ref": "rajathiagaraj/tit3anic-compettion-trail3", "kernel_id": "93767116"}, {"ref": "zeinafadel/lab2-t20-55-1095", "kernel_id": "93387648"}, {"ref": "mohammedbackar/acllab2", "kernel_id": "93335121"}, {"ref": "amrhesham1/in-lab2-scikit-learn", "kernel_id": "93235350"}, {"ref": "mostafahathout/lab-2", "kernel_id": "93315070"}, {"ref": "hanaamrrr/in-lab2-scikit-learn-73899d", "kernel_id": "93495926"}, {"ref": "yassinmarwan/notebookb838e0dbb1", "kernel_id": "93403152"}, {"ref": "ehab147/lab2-t20", "kernel_id": "93387672"}, {"ref": "seifkhaled1111111/in-lab2-scikit-learn", "kernel_id": "93253865"}, {"ref": "kareemdarwesh/notebookb1cfed9f1a", "kernel_id": "93387756"}, {"ref": "lucyllemakachia/exploration-data-analysis-eda", "kernel_id": "93490443"}, {"ref": "hassanredaaa/notebookd088175df2", "kernel_id": "93358907"}, {"ref": "farosmohsen/notebook25caadf6a7", "kernel_id": "93804711"}, {"ref": "johnnagi/acl-lab-2", "kernel_id": "93237548"}, {"ref": "mohamedabdulbaki/lab2-acl", "kernel_id": "93383035"}, {"ref": "ranaelsharkawy/notebook21fae515b9", "kernel_id": "93402023"}, {"ref": "waleedzahid77/titanic-survival-prediction", "kernel_id": "93278812"}, {"ref": "ahmedwael04/acl-lab-2", "kernel_id": "93269537"}, {"ref": "omartamerr10/notebooke4e3e42cbb", "kernel_id": "93228530"}, {"ref": "farahhady/lab-2", "kernel_id": "93387599"}, {"ref": "marwanhosny46565665/in-lab2-scikit-learn", "kernel_id": "93317648"}, {"ref": "youssefmaged2003/acl-task-2", "kernel_id": "93252698"}, {"ref": "youssefmaged2003/lab-3", "kernel_id": "93747570"}, {"ref": "tasneemkhalil/lab2-notebook", "kernel_id": "93372838"}, {"ref": "ahmedhamdy4255/in-lab2-scikit-learn", "kernel_id": "93254693"}, {"ref": "mariamgafar/lab-3", "kernel_id": "93834743"}, {"ref": "mariamgafar/lab-2", "kernel_id": "93215613"}, {"ref": "youssefsherifsabry/lab-2-notebook", "kernel_id": "93359340"}, {"ref": "noursaber0803/notebook7383add59a", "kernel_id": "93334591"}, {"ref": "ziadamgad/lab-assignment-2", "kernel_id": "93318148"}, {"ref": "kalashthakre/titanic-dataset", "kernel_id": "93973232"}, {"ref": "nopheirgeorgefarag/lab-2", "kernel_id": "93337551"}, {"ref": "youssef3bsattar/acl2-lab-task2", "kernel_id": "93441761"}, {"ref": "malakmostafa12345/malak-ahmed-55-9574-lab2", "kernel_id": "93236541"}, {"ref": "tasohesham/ml-w3-hands-on-tasneem-hesham-55-1026", "kernel_id": "93826290"}, {"ref": "tasohesham/gradedtask2f8fca3a643", "kernel_id": "93256755"}, {"ref": "tasohesham/gradedtask2", "kernel_id": "93255381"}, {"ref": "nourankamha/lab2task", "kernel_id": "93357930"}, {"ref": "karimhisham1/lab-assignment-2", "kernel_id": "93316971"}, {"ref": "omarmostafa333/notebook8f257e89d7", "kernel_id": "93247803"}, {"ref": "omarmostafa333/lab-3-manual-in-lab", "kernel_id": "93895825"}, {"ref": "nadinetarikk/lab-2-task", "kernel_id": "93389200"}, {"ref": "aliitantawyy/acllab2", "kernel_id": "93404526"}, {"ref": "seifelsheikh/notebookc9aa407eaf", "kernel_id": "93400891"}, {"ref": "loaymarwan/notebook7af989d599", "kernel_id": "93401381"}, {"ref": "yahiahanafi/in-lab2-scikit-learn", "kernel_id": "93253073"}, {"ref": "zeinawalid20/lab2-55-13734", "kernel_id": "93298268"}, {"ref": "nofalkhalil/lab-2-notebook", "kernel_id": "93362040"}, {"ref": "abduallahayman10/lab-2", "kernel_id": "93327882"}, {"ref": "seifabdalla/notebookffedb6cafc", "kernel_id": "93477609"}, {"ref": "mennasheriff/notebooka9501a41cd", "kernel_id": "93236941"}, {"ref": "abdelrahmanmokhtar8/lab-2", "kernel_id": "93235216"}, {"ref": "yassinfouda/notebook36ebb0de27dfd4e9419c", "kernel_id": "93336875"}, {"ref": "ahmedhanymamdouh/acl-labtask2-ahmedhanymamdouh", "kernel_id": "93493615"}, {"ref": "ahmedgasser20150/notebook246ec00535", "kernel_id": "93495536"}, {"ref": "alimousa3/in-lab2-scikit-learn", "kernel_id": "93253849"}, {"ref": "yahiahesham/notebook49ea8b7744", "kernel_id": "93318100"}, {"ref": "omarelharridy/lab2-acl", "kernel_id": "93194822"}, {"ref": "anastamerr/notebook01129936ea", "kernel_id": "93497499"}, {"ref": "omarorensa/lab-2", "kernel_id": "93389480"}, {"ref": "mohamedelquesni/acl-lab-2", "kernel_id": "93241239"}, {"ref": "alywalid/lab-3", "kernel_id": "93880091"}, {"ref": "mohammadreda2003/acl-lab-3-and-4", "kernel_id": "93988792"}, {"ref": "nadeenhassan/acllab1", "kernel_id": "93008487"}, {"ref": "alimahmoud153/lab-2", "kernel_id": "93237651"}, {"ref": "annwairimukiarie/ann-kiarie-eda", "kernel_id": "93688926"}, {"ref": "ahmedaminn/lab2-acl", "kernel_id": "93255504"}, {"ref": "fareedasaad/notebookc1de1f1cef", "kernel_id": "93837258"}, {"ref": "fareedasaad/notebook9589cfe399", "kernel_id": "93293305"}, {"ref": "georgeelswefy/acl-lab02", "kernel_id": "93396409"}, {"ref": "ramezmagdykamal/acl-lab-2-task", "kernel_id": "93298829"}, {"ref": "mohamedhegazy1998/notebooke503a79360", "kernel_id": "93094868"}, {"ref": "oelsawy/acl-lab-2", "kernel_id": "93495693"}, {"ref": "arwakhattab/lab-2", "kernel_id": "93400474"}, {"ref": "malakelmasry25/malakelmasry-55-2369-lab2", "kernel_id": "93333636"}, {"ref": "mariamaslan/acl-lab-2", "kernel_id": "93235975"}, {"ref": "vahanshumboosh/project-ml-vahan", "kernel_id": "93075586"}, {"ref": "monicamsfarid/lab2-task", "kernel_id": "93323090"}, {"ref": "osmandikmen/lesson-examples-machine-learning", "kernel_id": "93807238"}, {"ref": "dhirajkarki01/notebook04c9a356f8", "kernel_id": "93367449"}, {"ref": "ibrahimashmawy/lab-3-acl", "kernel_id": "93951339"}, {"ref": "yusufhaitham/in-lab2-scikit-learn", "kernel_id": "93236676"}, {"ref": "shahawya/in-lab2-scikit-learn", "kernel_id": "93235546"}, {"ref": "minhquangdng/id3-titanic", "kernel_id": "93564205"}, {"ref": "isaacknewton/isaack-imbwagah-cs-da02-25030-titanic-eda", "kernel_id": "93481516"}, {"ref": "zohaibcodez/titanic-eda-complete-beginner-s-guide", "kernel_id": "93339558"}, {"ref": "mrnoot/emlc-titanic-dataset", "kernel_id": "93531631"}, {"ref": "imashum/titanic-survivors-prediction-and-visualization", "kernel_id": "93114376"}, {"ref": "himanshushekhar05/eda-titanic-dataset", "kernel_id": "93666241"}, {"ref": "kerolosfam/in-lab2-scikit-learn", "kernel_id": "93486558"}, {"ref": "ngcanlmaster/notebook887d652da8", "kernel_id": "93570079"}, {"ref": "fakaruddin/titanic-dataset", "kernel_id": "93471378"}, {"ref": "adhambahaa/lab-2-acl", "kernel_id": "93252930"}, {"ref": "felistergakenia/gakenia-mwenda-cs-da02-25083-eda", "kernel_id": "93896122"}, {"ref": "welo05/notebooke05a92c5e7", "kernel_id": "93479686"}, {"ref": "ahmedwaleedelfar/in-lab2-scikit-learn", "kernel_id": "93368373"}, {"ref": "khalidjamour/titanic-last-update-25-september", "kernel_id": "93006019"}, {"ref": "dianarehan/draft-lab-3-manual-in-lab", "kernel_id": "93894036"}, {"ref": "dianarehan/in-lab2-scikit-learn", "kernel_id": "93238743"}, {"ref": "paulamontoyaalvarez/paula-montoya-titanic", "kernel_id": "93372421"}, {"ref": "mhussain321/titanic-prediction", "kernel_id": "93903694"}, {"ref": "dianasalazarg/titanic-dianasalazarg", "kernel_id": "93146137"}, {"ref": "seshasai2409/titanic-logistic-regression", "kernel_id": "93497507"}, {"ref": "risaujihara/titanic-training", "kernel_id": "93300049"}, {"ref": "alejandroatehorta/titanic-alejo-atehortua", "kernel_id": "93442164"}, {"ref": "tejas141/ex-7-208", "kernel_id": "93382973"}, {"ref": "omartayel11/omar-tayel-lab2-55-5228", "kernel_id": "93333837"}, {"ref": "muizah/titanicd", "kernel_id": "93761021"}, {"ref": "rashi40/titanic-submission-rashi", "kernel_id": "93507450"}, {"ref": "rekhsharathchandra/titanic-survival-pridiction", "kernel_id": "93663455"}, {"ref": "weldonsitienei/weldon-kipkoech-eda", "kernel_id": "93571609"}, {"ref": "patkim3480/patrick-kariuki-cs-da02-25041", "kernel_id": "93948733"}, {"ref": "muhammadsheerazf/getting-started-with-titanic", "kernel_id": "93172050"}, {"ref": "edlenezimiles/exercise-arithmetic-and-variables", "kernel_id": "93425815"}, {"ref": "haniawaleed/lab2-tut27", "kernel_id": "93316129"}, {"ref": "victordel04/titanic-chance-de-survie", "kernel_id": "93119773"}, {"ref": "nawrasfatlawi/titanic-submission-nawras", "kernel_id": "93020837"}, {"ref": "tuanphmvn/titanic-challenge", "kernel_id": "93879142"}, {"ref": "rabeeanaseer/titanic-machine-learning", "kernel_id": "93110142"}, {"ref": "rabeeanaseer/titanic-survival-prediction-random-forest-baseli", "kernel_id": "93262414"}, {"ref": "anthonytoffetti/titanic-predictions", "kernel_id": "93444570"}, {"ref": "kashifali68/just-entering-the-arena-of-kaggle-competetions", "kernel_id": "93609451"}, {"ref": "dachelcursos/empezando-con-titanic-getting-start-with-titanic", "kernel_id": "93251416"}, {"ref": "mohammedwaleed11/in-lab2-scikit-learn", "kernel_id": "93254722"}, {"ref": "omarsaleh1010/notebookb60605c741", "kernel_id": "93400613"}, {"ref": "tonnisondito/tonnis-ondito-cs-da02-25070-eda", "kernel_id": "93565967"}, {"ref": "malekali1/lab-2-machine-learning-foundations", "kernel_id": "93184628"}, {"ref": "maksimfyvska/notebook36b6396dd9", "kernel_id": "93645653"}, {"ref": "malloy444/notebook2b6bc985ea", "kernel_id": "93650525"}, {"ref": "nadeemmohammed21/in-lab2-scikit-learn", "kernel_id": "93316697"}, {"ref": "daniyal001/aiml-lab05-answer", "kernel_id": "93517063"}, {"ref": "chenziramcloyd/titanic", "kernel_id": "93380596"}, {"ref": "halilsahn/hsdata-titanic-eda", "kernel_id": "93522144"}, {"ref": "nolymol/titanic", "kernel_id": "93673681"}, {"ref": "knuckles666666/titanik", "kernel_id": "93674924"}, {"ref": "pably101/lab-2", "kernel_id": "93255642"}, {"ref": "karimemaad/notebook8017e93400", "kernel_id": "93238273"}, {"ref": "swimmingbidoof/lab-2", "kernel_id": "93352793"}, {"ref": "youssefkareem4/notebook9f00d087dc", "kernel_id": "93236559"}, {"ref": "gasserelharesy/lab-2", "kernel_id": "93254420"}, {"ref": "ahmedv100/in-lab2-scikit-learn", "kernel_id": "93234182"}, {"ref": "ahmedv100/lab-3-manual-in-lab-ahmed-mohamed-mostafa", "kernel_id": "93880024"}, {"ref": "mohamedbishbishy/notebookef5560f8eb", "kernel_id": "93234789"}, {"ref": "yahyaalazhary/acl-lab2", "kernel_id": "93235925"}, {"ref": "ahusseinali/notebook-lab02", "kernel_id": "93232061"}, {"ref": "szidane/acl-lab-2-55-21870", "kernel_id": "93236660"}, {"ref": "zeyadamr234/in-lab2-55-5355-zeiad-amr", "kernel_id": "93234204"}, {"ref": "zeyadamr234/in-lab-3-task-55-5355-zeiad-amro-sayed", "kernel_id": "93881137"}, {"ref": "abdelrahmanzakzouk/labtask2-acl", "kernel_id": "93236083"}, {"ref": "abdelrahmanzakzouk/acl-lab3", "kernel_id": "93881356"}, {"ref": "ogaber/acl-lab-3", "kernel_id": "93880933"}, {"ref": "ogaber/acl-lab2", "kernel_id": "93235515"}, {"ref": "janaelowainy/tutorial2", "kernel_id": "93318128"}, {"ref": "abdelsalammamdouh/in-lab2-scikit-learn", "kernel_id": "93236538"}, {"ref": "mohamedelsherif7/lab2acl", "kernel_id": "93235032"}, {"ref": "samatamerr20/in-lab2-scikit-learn", "kernel_id": "93235579"}, {"ref": "abdulrahmanmahdi/lab-2-graded-task", "kernel_id": "93235382"}, {"ref": "qwertyuiop2026/notebook035d62f074", "kernel_id": "93234563"}, {"ref": "youssefnassermohamed/lab-2-t-27", "kernel_id": "93315551"}, {"ref": "alybasyouni/acl-lab-2", "kernel_id": "93253002"}, {"ref": "alybasyouni/acl-lab-3", "kernel_id": "93904506"}, {"ref": "omarsobhy03/lab-3-task", "kernel_id": "93906364"}, {"ref": "ragaaaly/in-lab2-scikit-learn", "kernel_id": "93388927"}, {"ref": "nabilasherif/lab-2-acl", "kernel_id": "93253746"}, {"ref": "nabilasherif/lab-2-acl-1", "kernel_id": "93258669"}, {"ref": "ahmedsamyabed/lab-2-task", "kernel_id": "93257119"}, {"ref": "ahmedsamyabed/lab-2", "kernel_id": "93253695"}, {"ref": "mohamedemaddd/notebookc02606e5d2", "kernel_id": "93256422"}, {"ref": "ranatalaat17/lab3nb", "kernel_id": "93905193"}, {"ref": "ahmedhossam08/acl-lap-2", "kernel_id": "93255542"}, {"ref": "mohameddwalidd03/notebook11ff2e48d9", "kernel_id": "93253035"}, {"ref": "mohameddwalidd03/lab-3-mohamed-walid-mohamed", "kernel_id": "93829209"}, {"ref": "seiifmo/in-lab2-scikit-learn", "kernel_id": "93254519"}, {"ref": "alyaashoush03/lab-2", "kernel_id": "93255931"}, {"ref": "basilayman/notebooka21de32bc0", "kernel_id": "93255451"}, {"ref": "khaledashmawy/lab-2-graded-inclass", "kernel_id": "93315940"}, {"ref": "mohamedgamal6606/in-lab2-scikit-learn", "kernel_id": "93364389"}, {"ref": "engabdallah10/notebook0532df1995", "kernel_id": "93317236"}, {"ref": "zrafat/ziad-55-7978-lab-task-2", "kernel_id": "93338238"}, {"ref": "mohamedhishamm1/lab-2", "kernel_id": "93315784"}, {"ref": "nadashetewy/notebook3072a3ef32", "kernel_id": "93312737"}, {"ref": "moaazsamir/acl-lab-test-2", "kernel_id": "93315498"}, {"ref": "youssefelbatrawy0/lab-02", "kernel_id": "93316063"}, {"ref": "amrhesham04/notebook12db4dbfc3", "kernel_id": "93316648"}, {"ref": "amrhesham04/notebook556f507ee1", "kernel_id": "93987165"}, {"ref": "seif1666/notebook5f9aa354f6", "kernel_id": "93316706"}, {"ref": "moustafaismail26/draft-lab-3-manual-in-lab", "kernel_id": "93986395"}, {"ref": "sarahfahmy1/lab-2", "kernel_id": "93317405"}, {"ref": "ziadabdulghani/lab-2", "kernel_id": "93316233"}, {"ref": "rubinasameh/lab-2", "kernel_id": "93317065"}, {"ref": "ahmedloay28/labtask2", "kernel_id": "93301937"}, {"ref": "mariammageddddd/lab2acl", "kernel_id": "93318078"}, {"ref": "khedri0/lab-02", "kernel_id": "93328771"}, {"ref": "youssefabuel3la/lab-2-graded", "kernel_id": "93324676"}, {"ref": "alihani1/notebooke82ac62747", "kernel_id": "93334696"}, {"ref": "ayaali123/lab-2", "kernel_id": "93335218"}, {"ref": "jaydaaroushdy/task-2", "kernel_id": "93337528"}, {"ref": "janaamer22/lab-2-notebook", "kernel_id": "93333518"}, {"ref": "omaryayoub/task-2-acl", "kernel_id": "93332072"}, {"ref": "mostafatarekk/notebook-lab-2", "kernel_id": "93333782"}, {"ref": "seifeldin152003/lab-2", "kernel_id": "93334625"}, {"ref": "mohamedahmedhamad/in-lab2-scikit-learn", "kernel_id": "93335412"}, {"ref": "abdullahsherif5/notebookcebe9d1aec", "kernel_id": "93334598"}, {"ref": "abohema7/in-lab2-scikit-learn", "kernel_id": "93235774"}, {"ref": "abohema7/lab-3", "kernel_id": "93883668"}, {"ref": "mohamedgamal2/in-lab2-scikit-learn", "kernel_id": "93335204"}, {"ref": "marwanmohamadsisi/lab-assignment-2-acl-55-1950-t-19", "kernel_id": "93334888"}, {"ref": "abdelrahmanfikri/lab-2", "kernel_id": "93333544"}, {"ref": "lemialee/getting-started-tianic", "kernel_id": "93054782"}, {"ref": "youssefsameh55/acl-lab-2", "kernel_id": "93388716"}, {"ref": "mohamedtamer2025/in-lab2-scikit-learn", "kernel_id": "93365900"}, {"ref": "omarharidy1/acllap2", "kernel_id": "93357156"}, {"ref": "omarharidy1/acllap3", "kernel_id": "93851928"}, {"ref": "phuwizra/titanic-dataset", "kernel_id": "93379009"}, {"ref": "abdallahashour7/lab-2", "kernel_id": "93388492"}, {"ref": "rahmamohamed00/notebook7eb9cb6576", "kernel_id": "93387469"}, {"ref": "malakheshammontasser/in-lab2-malak-hesham-55-6656", "kernel_id": "93389558"}, {"ref": "malakheshammontasser/lab-2-malak-hesham-55-6656-t16", "kernel_id": "93364475"}, {"ref": "tinnaphoppromkum/logisticregression-65200134", "kernel_id": "93379802"}, {"ref": "yassinnossair/lab-number-2", "kernel_id": "93380496"}, {"ref": "mariaeskaros/acl-lab2-maria-ashraf", "kernel_id": "93387286"}, {"ref": "mohammadwahby/lab-2", "kernel_id": "93388537"}, {"ref": "mayaahmedali/in-lab2-maya-ahmed-sherif-55-7629", "kernel_id": "93388616"}, {"ref": "kareemelewa/lab-2-task", "kernel_id": "93390010"}, {"ref": "nourshalaby/acl-lab2", "kernel_id": "93386020"}, {"ref": "antonyayman/lab-2", "kernel_id": "93387830"}, {"ref": "moemostafa/lab-2", "kernel_id": "93387929"}, {"ref": "youssefalseddeik/lab-2", "kernel_id": "93389236"}, {"ref": "yoyo12tech/acl-lab-2", "kernel_id": "93388499"}, {"ref": "moisonkaggle891/lab2-acl", "kernel_id": "93195641"}, {"ref": "amiraouda/notebook0b6e1402d7", "kernel_id": "93358977"}, {"ref": "mohamedhamzaa02/notebookeedf91124blab2", "kernel_id": "93389365"}, {"ref": "sarasamyalajmy/acm-lab2", "kernel_id": "93387737"}, {"ref": "yahiatolba/lab-2", "kernel_id": "93387769"}, {"ref": "youssofahmad/notebook6d937e4963", "kernel_id": "93387522"}, {"ref": "youssefrizk14/lab-2-acl-youssef-sameh-55-1491", "kernel_id": "93365168"}, {"ref": "ahmedsabryy234/notebooke42926554c", "kernel_id": "93394117"}, {"ref": "talaatjr/lab3-notebook", "kernel_id": "93911878"}, {"ref": "talaatjr/lab2-scikit-learn", "kernel_id": "93394112"}, {"ref": "hazemhussein1311/lab2-test-hazem-essam-brekaa-t6-55-15850", "kernel_id": "93395216"}, {"ref": "ahmedsamehhelmy/lab-2", "kernel_id": "93401528"}, {"ref": "abdelrahmanzidan1/in-lab2-scikit-learn", "kernel_id": "93403179"}, {"ref": "mohamedash33/notebook93cd9d29b5", "kernel_id": "93403379"}, {"ref": "adammongy/lab-manual-2-graded-task-2", "kernel_id": "93401708"}, {"ref": "scr1ptmd/sanaipei-leposo-eda", "kernel_id": "93685652"}, {"ref": "johangeorge4/titanic-disaster-ml", "kernel_id": "93081201"}, {"ref": "yaraelkousy/lab-2", "kernel_id": "93424816"}, {"ref": "hanaosama1/in-lab2-scikit-learn-7bc2b3", "kernel_id": "93495364"}, {"ref": "ramezhaytham/notebook9b4b59c9a2", "kernel_id": "93479931"}, {"ref": "zeyadalaaser/in-lab2-scikit-learn", "kernel_id": "93477300"}, {"ref": "adhamismail23/in-lab2-scikit-learn-adham", "kernel_id": "93477511"}, {"ref": "seifeldinkhaledabbas/in-lab2-seifeldin-khaled-55-25218", "kernel_id": "93478135"}, {"ref": "stephenmuiwa/stephen-mutunga-eda", "kernel_id": "93569968"}, {"ref": "faithchemurgorlimo/faith-limo-da02-25110", "kernel_id": "93878083"}, {"ref": "franciswaruikamande/francis-warui-cs-da02-25077-eda", "kernel_id": "93524848"}, {"ref": "sandralungahi/sandra-lung-ahi-titanic-eda", "kernel_id": "93481133"}, {"ref": "joshuakipkosgeisang/joshua-sang-eda-cs-da02-25081", "kernel_id": "93475065"}, {"ref": "defhopeee/hope-nyambura-cs-eh03-25100-eda", "kernel_id": "93571225"}, {"ref": "yousseffaizallah/lab-2", "kernel_id": "93477466"}, {"ref": "josephsituma/joseph-situma-cs-da02-2112", "kernel_id": "93944915"}, {"ref": "bonneyomondi/bonney-omondi-eda", "kernel_id": "93623806"}, {"ref": "bonneyomondi/bonneyomondi-eda", "kernel_id": "93532753"}, {"ref": "mostafaahmed101/notebook162a005fe3", "kernel_id": "93495403"}, {"ref": "mohamedaboghanima/lap-2", "kernel_id": "93492882"}, {"ref": "youssefadel617/notebookebed8f54db", "kernel_id": "93389239"}, {"ref": "mohamedhefnyelraei/lab-task2", "kernel_id": "93498366"}, {"ref": "yousefelmalatawy/acl-lab-2", "kernel_id": "93495749"}, {"ref": "reemmanassa/notebookf1630bcab7", "kernel_id": "93494315"}, {"ref": "nourhanhesham12/notebookc6d5b9b8d1", "kernel_id": "93254365"}, {"ref": "andrewrefaat/notebook2443de6b76", "kernel_id": "93495559"}, {"ref": "alishaheenck/lab-2", "kernel_id": "93445452"}, {"ref": "moirahammes/portfolio-1b-notebook-submission", "kernel_id": "93429875"}, {"ref": "hussienhaitham/in-lab2-scikit-learn", "kernel_id": "93495606"}, {"ref": "omaressammohamedomar/in-lab2-scikit-learn", "kernel_id": "93496104"}, {"ref": "marinamedhat21/notebook3fe5f8644f", "kernel_id": "93494378"}, {"ref": "johnnjoro/john-murage-cs-eh01-24008-eda", "kernel_id": "93518721"}, {"ref": "matteocunha/titanic-survivor-comp-94-01-ml-classification", "kernel_id": "93364083"}, {"ref": "youssefwaleed10/in-lab2-scikit-learn", "kernel_id": "93389322"}, {"ref": "victorkiokomutuku/victor-mutuku-cs-da02-25021", "kernel_id": "93598011"}, {"ref": "peteradelabdelmalak/acl-lab-2", "kernel_id": "93481022"}, {"ref": "gracesampao/grace-sampao-exploratory-data-analysis-assignment", "kernel_id": "93827545"}, {"ref": "collinscheruyot/collins-cheruyot-eda", "kernel_id": "93485774"}, {"ref": "rachelbrock123/exercise-arithmetic-and-variables", "kernel_id": "93573791"}, {"ref": "dogevich/notebook3995a58dc7", "kernel_id": "93060451"}, {"ref": "mohabelkodsh/titanic", "kernel_id": "93074940"}, {"ref": "brianonkangii/brian-onkangi-cs-da02-25036-eda-week-3", "kernel_id": "93781663"}, {"ref": "jamalamro/jamal-notebook", "kernel_id": "93112160"}, {"ref": "soyoon9483/sy-portfolio1b", "kernel_id": "93097333"}, {"ref": "karlrosengreen/titanic1b", "kernel_id": "93684040"}, {"ref": "katiesimpsongs/katie-simp-portfolio-1b", "kernel_id": "93099703"}, {"ref": "brynmitchell/bryns-first-notebook-titanic1", "kernel_id": "93119120"}, {"ref": "mohamedyosry71/acl-notebook-lab-2", "kernel_id": "93117762"}, {"ref": "rmifdz/ml-titanic-step1", "kernel_id": "93141492"}, {"ref": "geraldmawili/gerald-mawili-eda", "kernel_id": "93660307"}, {"ref": "manmeetsantre/titanic-survival-prediction-eda-ml", "kernel_id": "93283524"}, {"ref": "husban/titanic-survival-prediction", "kernel_id": "93254415"}, {"ref": "nouraymanfares/notebook0dee738f66", "kernel_id": "93238590"}, {"ref": "nouraymanfares/lab3acl", "kernel_id": "93921607"}, {"ref": "kareemahmed73/titanic-dataset-simple-analysis", "kernel_id": "93227583"}, {"ref": "youssefhaddad13/in-lab2-scikit-learn-a7e669", "kernel_id": "93256672"}, {"ref": "sanyavlitvyak/ml-titanic-step6-rf", "kernel_id": "93329583"}, {"ref": "aatifkhan786/exercise-arithmetic-and-variables", "kernel_id": "93319421"}, {"ref": "mohamedmansour112/lab2-task", "kernel_id": "93343393"}, {"ref": "rahma03/acl-lab2", "kernel_id": "93382542"}, {"ref": "mohdansari2507/ml-lab-4", "kernel_id": "93406118"}, {"ref": "parasjadon05/eda-univariate-analysis", "kernel_id": "93949455"}, {"ref": "parasjadon05/eda-titanic-dataset-univariate-analysis", "kernel_id": "93956315"}, {"ref": "parasjadon05/eda-bivariate-multivariate-analysis", "kernel_id": "93958380"}, {"ref": "parasjadon05/understand-your-data", "kernel_id": "93930596"}, {"ref": "hasansekerci/titanic-detayl-veri-analizi-al-mas", "kernel_id": "93424586"}, {"ref": "kerry0829/titanic-survival-prediction", "kernel_id": "93430074"}, {"ref": "arzuyksl/getting-started-with-titanic", "kernel_id": "93433142"}, {"ref": "youssef2002945/in-lab2-scikit-learn", "kernel_id": "93494836"}, {"ref": "snorrefossum/titanic-competition-version-1", "kernel_id": "93805493"}, {"ref": "kassandraholgaard/titanic-competition", "kernel_id": "93567242"}, {"ref": "timofey11/gdfkghdfkphkp", "kernel_id": "93653579"}, {"ref": "charlottelacour/titanic-3-lacour", "kernel_id": "93914852"}, {"ref": "antonlemvighsrensen/titanic-training", "kernel_id": "93685632"}, {"ref": "madsvolkepedersen/pre-titanic", "kernel_id": "93684420"}, {"ref": "mathildeenglund/titanic-portfolio", "kernel_id": "93692578"}, {"ref": "jesseff20/challenges-surviving-from-the-titanic", "kernel_id": "93949888"}, {"ref": "christenore/titanic-ct-mlp", "kernel_id": "93867302"}, {"ref": "pepro182708/pmltitanic-solutions", "kernel_id": "94641624"}, {"ref": "ofyalcin/notebook150ab972e8", "kernel_id": "94288614"}, {"ref": "ofyalcin/notebooka9fadc7588", "kernel_id": "94290856"}, {"ref": "smgrieggs/expands-neural-network-titanic", "kernel_id": "94359929"}, {"ref": "sajikim/tutorial-of-titanic-ch5", "kernel_id": "94086898"}, {"ref": "sajikim/tutorial-of-titanic-ch4", "kernel_id": "94084500"}, {"ref": "sajikim/tutorial-of-titanic-ch3", "kernel_id": "94083463"}, {"ref": "sajikim/tutorial-of-titanic-ch3-script", "kernel_id": "94083733"}, {"ref": "sajikim/tutorial-of-titanic-ch-a", "kernel_id": "94092446"}, {"ref": "germanviscuso/titanic-in-all-the-confusion", "kernel_id": "94387559"}, {"ref": "ashwin88/ultimate-code", "kernel_id": "94060189"}, {"ref": "meteyildirim2005/matplotlib-seaborn-tutorial", "kernel_id": "94333696"}, {"ref": "wangchenxu/titanic-based", "kernel_id": "94790991"}, {"ref": "prp123/titanic-more-robust", "kernel_id": "94236109"}, {"ref": "tarekghajary/titanic-disaster", "kernel_id": "94265716"}, {"ref": "mmakemd/dt-example", "kernel_id": "94542756"}, {"ref": "sherlemious/lab-3-manual-in-lab-55-4626", "kernel_id": "94092261"}, {"ref": "youssefrfarid/lab3-takehome-task-youssef-ramy", "kernel_id": "94725197"}, {"ref": "stutisharma22/getting-started-titanic-ml-from-disaster", "kernel_id": "94150832"}, {"ref": "charlesosembo/charles-osembo-da02-25013", "kernel_id": "94112825"}, {"ref": "clearfrancis/assignment-3-tinanic-eda", "kernel_id": "94220641"}, {"ref": "ahzamejaz/dl-pytorch", "kernel_id": "94296296"}, {"ref": "aueskinj/exploratory-data-analysis", "kernel_id": "94693401"}, {"ref": "timurturdalijev/titanic-ml-bootcamp-from-eda-to-optuna-ensemble", "kernel_id": "94103871"}, {"ref": "kimaru49/kelvin-kimaru-cs-da02-25113-eda", "kernel_id": "94122355"}, {"ref": "abdelrahimabdelazim/lab-acl", "kernel_id": "94676272"}, {"ref": "venturero/titanic-survival-predictions-beginner", "kernel_id": "94844245"}, {"ref": "felixaustine/eda-felix-odhul-cs-da02-25091", "kernel_id": "94288403"}, {"ref": "omargoba/draft-lab-3-manual-in-lab", "kernel_id": "94093903"}, {"ref": "yousseftarek28/notebook0787388e61", "kernel_id": "94617262"}, {"ref": "tunako/titanic-neural-network-pytorch", "kernel_id": "94365714"}, {"ref": "mennatallahhalawa/draft-lab-3-manual-in-lab", "kernel_id": "94812762"}, {"ref": "nourmaaita/notebook208b02b011", "kernel_id": "94588471"}, {"ref": "mohaffan/titanic-ml-istts", "kernel_id": "94815847"}, {"ref": "rajeevmishraa/titanic-machine-learning-from-disaster", "kernel_id": "94937327"}, {"ref": "mariammtarekk/acl-lab-2", "kernel_id": "94627934"}, {"ref": "mariammtarekk/acl-lab-1", "kernel_id": "94628939"}, {"ref": "nadawaleed4/lab-3", "kernel_id": "94838366"}, {"ref": "ahmedtahagad/lab-3", "kernel_id": "94953805"}, {"ref": "andikhalil/ml1-visualisasi-data", "kernel_id": "94186621"}, {"ref": "abere254/obed-abere-eda", "kernel_id": "94164733"}, {"ref": "mdsadikujjamanshihab/exercise-arithmetic-and-variables", "kernel_id": "94011367"}, {"ref": "mahmoudhanyhebishy/acl-lab3-task-sol", "kernel_id": "94091561"}, {"ref": "salmaokishk/lab-4-notebook-manual", "kernel_id": "94814682"}, {"ref": "ahmedsaidabbas/notebook8c95b2bf5f", "kernel_id": "94093721"}, {"ref": "shahdabdelkhalek/lab-03", "kernel_id": "94503888"}, {"ref": "monje1/monyjang-manyuat-titanic-eda-cs-da02-25086", "kernel_id": "94136186"}, {"ref": "aaravdc/shallow-neural-network-for-prediction", "kernel_id": "94611938"}, {"ref": "elgazzar5/notebookb2ec9e08be", "kernel_id": "94370240"}, {"ref": "srianand/titanic-survival-prediction", "kernel_id": "94517701"}, {"ref": "lindahkima/lindah-kima-cs-da02-25010-3", "kernel_id": "94103741"}, {"ref": "nastyakudryawtsewa/titanic-notebook9b9d8ab3df", "kernel_id": "94146787"}, {"ref": "artemdmitrievich/titanic", "kernel_id": "94148712"}, {"ref": "antaranath/titanic-survival-prediction-a-simple-model", "kernel_id": "94944579"}, {"ref": "zeinashalabyy/lab-3", "kernel_id": "94166223"}, {"ref": "farah065/lab-3", "kernel_id": "94161214"}, {"ref": "ronothedev/albert-kipngeno-eda-cs-da02-25090-ipynb", "kernel_id": "94251205"}, {"ref": "hidhit/pertemuan2", "kernel_id": "94889265"}, {"ref": "hidhit/lap1ml", "kernel_id": "94894696"}, {"ref": "brayohulemusee/week-3-assignement", "kernel_id": "94040987"}, {"ref": "ajaysawandkar/getting-started-with-titanic", "kernel_id": "94944196"}, {"ref": "mstafaa/uts-data-mining", "kernel_id": "94710495"}, {"ref": "wendywwwcc/notebook86ee753d4e", "kernel_id": "94696496"}, {"ref": "deonisdeonnis/laba-4", "kernel_id": "94010694"}, {"ref": "minhquc19trn/522h0082-eda", "kernel_id": "94936050"}, {"ref": "mikhailgeorgesamir/lab3-mikhail-george-55-1895", "kernel_id": "94463082"}, {"ref": "gilbert31/gilbert-kamau-titanic-eda-assignments", "kernel_id": "94222466"}, {"ref": "muhammadriaz72/titanic-survival-prediction-clean-eda-machine", "kernel_id": "94791257"}, {"ref": "muhuyierick/muhuyi-erick-cs-da02-25088-exploratorydataanalysis", "kernel_id": "94033830"}, {"ref": "zrmarwan/home-task-2-0", "kernel_id": "94514811"}, {"ref": "lkjhgfdfghjk/lab3-task-omar-fouad-55-4561", "kernel_id": "94763928"}, {"ref": "chinmoymajumderds/my-first-ml-project", "kernel_id": "94050868"}, {"ref": "mitudru/savingtitanic", "kernel_id": "94147997"}, {"ref": "kankalanandu/complete-titanic-analysis-eda-advanced-ml-model", "kernel_id": "94162474"}, {"ref": "kemunto2000/faith-okongo-cs-da02-25099-eda", "kernel_id": "94151668"}, {"ref": "joliemagdy/acl-lab-3-task", "kernel_id": "94236475"}, {"ref": "mostafaahmedali/acl-task3", "kernel_id": "94638232"}, {"ref": "mennayasser777/acl-lab-4", "kernel_id": "94644265"}, {"ref": "mohamedshaker6/lab3-task", "kernel_id": "94153926"}, {"ref": "janazeinn/draft-lab-3-manual-in-lab-6e8b1b", "kernel_id": "94656415"}, {"ref": "rajivramarao/titanic-ml", "kernel_id": "94148225"}, {"ref": "janaazmy/lab-4-take-home", "kernel_id": "94497900"}, {"ref": "janaazmy/lab-3-take-home", "kernel_id": "94494715"}, {"ref": "aminaghoneim/lab3-aminatamer-55-0518", "kernel_id": "94706123"}, {"ref": "hageryousef/lab-task-3", "kernel_id": "94657958"}, {"ref": "mohamedelsawy03/notebook9c635282fe", "kernel_id": "94616232"}, {"ref": "abdelrahmanemad11/takehometask-3-55-16066", "kernel_id": "94545090"}, {"ref": "youssefwadie/draft-lab-3-manual-in-lab", "kernel_id": "94830083"}, {"ref": "habibaelsonbaty/lab4-acl", "kernel_id": "94778458"}, {"ref": "minaremon12/acl-graded-task-lab-3", "kernel_id": "94810193"}, {"ref": "faridaelhadidy/notebook95e4fe0450", "kernel_id": "94596129"}, {"ref": "youssefheshamkandil/lab-3-4-acl", "kernel_id": "94281901"}, {"ref": "mohanadyehia49/lab-3-notebook", "kernel_id": "94367392"}, {"ref": "youssefyassereloraby/lab-3", "kernel_id": "94953046"}, {"ref": "shahd24/lab-4-notebook-manual", "kernel_id": "94895479"}, {"ref": "shahd24/draft-lab-3-manual-in-lab", "kernel_id": "94107385"}, {"ref": "ayamohamedzayed11/lab-4-notebook", "kernel_id": "94607402"}, {"ref": "sylviafaris/lab-3-55-24910", "kernel_id": "94522107"}, {"ref": "hassankhaledxx/graded-task-lab-4", "kernel_id": "94924552"}, {"ref": "michaelweesa/lab3-michaelmaged", "kernel_id": "94143665"}, {"ref": "mariammohamedsamir/lab4-mariam-khalil-55-16508", "kernel_id": "94601358"}, {"ref": "abdallaahmedhassan/lab-3", "kernel_id": "94158771"}, {"ref": "marinasamir02/graded-task-home-assignment-1", "kernel_id": "94422523"}, {"ref": "demianala5sham/lab3task", "kernel_id": "94671304"}, {"ref": "mohammedbackar/lab-3-assignment", "kernel_id": "94359890"}, {"ref": "kareemdarwesh/assignment-1-2", "kernel_id": "94224278"}, {"ref": "mohamedabdulbaki/lab-3-task", "kernel_id": "94805750"}, {"ref": "ahmedwael04/home-graded-task-1-lab-3", "kernel_id": "94058042"}, {"ref": "youssefasly/youssef-medhat-55-0482-t26", "kernel_id": "94014417"}, {"ref": "darineabdelkhalek/takehome1", "kernel_id": "94379198"}, {"ref": "rishiparmar2455/titanic-using-xgboost", "kernel_id": "94260775"}, {"ref": "omartamerr10/take-home-task", "kernel_id": "94525933"}, {"ref": "farahhady/lab-3-task", "kernel_id": "94399697"}, {"ref": "haidyyamr/notebook9c1003f970", "kernel_id": "94681699"}, {"ref": "ahmedhamdy4255/acl-assignment-3", "kernel_id": "94511716"}, {"ref": "noursaber0803/acl-task-4", "kernel_id": "94517619"}, {"ref": "ziadamgad/acl-lab-4", "kernel_id": "94650188"}, {"ref": "youssef3bsattar/acl2-lab-task3", "kernel_id": "94947257"}, {"ref": "mohamedwaelw2s/in-lab2-scikit-learnfd", "kernel_id": "94251908"}, {"ref": "mohamedwaelw2s/draft-lab-3-manual-in-lab-task", "kernel_id": "94941725"}, {"ref": "tasohesham/draft-lab-3-manual-in-lab-a0ce68", "kernel_id": "94409534"}, {"ref": "tasohesham/task-3-graded-tasneem-hesham", "kernel_id": "94409445"}, {"ref": "aliitantawyy/labb3", "kernel_id": "94842585"}, {"ref": "loaymarwan/take-home-lab", "kernel_id": "94606887"}, {"ref": "zeinawalid20/lab4-55-13734", "kernel_id": "94737590"}, {"ref": "abduallahayman10/lab-4", "kernel_id": "94894850"}, {"ref": "mennasheriff/notebook6ac081562f", "kernel_id": "94525508"}, {"ref": "yassinotifa/yassinotifa-lab3-assignment", "kernel_id": "94731588"}, {"ref": "abdelrahmanmokhtar8/lab-3-abdelrahman-ahmed-mokhtar-55-4056", "kernel_id": "94487519"}, {"ref": "anastamerr/neural-network-comparison", "kernel_id": "94802831"}, {"ref": "mohamedwaelkgl/task-4", "kernel_id": "94419729"}, {"ref": "omarorensa/lab-4", "kernel_id": "94724028"}, {"ref": "alywalid/lab33", "kernel_id": "94644328"}, {"ref": "omarabdelwahab22/acl-lab-4", "kernel_id": "94723420"}, {"ref": "nadeenhassan/lab-4-notebook-manual", "kernel_id": "94895543"}, {"ref": "karimelesseily/at-home-task-1-karimelesseily-55-2214", "kernel_id": "94633015"}, {"ref": "ahmedaminn/lab3-task", "kernel_id": "94833112"}, {"ref": "fareedasaad/lab4-home", "kernel_id": "94734884"}, {"ref": "ramezmagdykamal/acl-lab-3-task", "kernel_id": "94013063"}, {"ref": "alishokryy/lab-3", "kernel_id": "94506772"}, {"ref": "vinhthaiii/eda-titanic", "kernel_id": "94690771"}, {"ref": "ahnafmuhtasim/keras-titan-1", "kernel_id": "94111729"}, {"ref": "oelsawy/lab3-hometask", "kernel_id": "94957042"}, {"ref": "arwakhattab/lab-3", "kernel_id": "94108151"}, {"ref": "malakelmasry25/lab3-takehometask", "kernel_id": "94014190"}, {"ref": "mariamaslan/acl-lab-3", "kernel_id": "94263041"}, {"ref": "eissam0/titanic-survival-prediction-solution", "kernel_id": "94493340"}, {"ref": "ezekiellokeru/ezekiel-lokeru-cs-da02-25018-week-3", "kernel_id": "94050986"}, {"ref": "cngvngckim/titanic", "kernel_id": "94004256"}, {"ref": "justinamatthew/titanic-challenge-justina-matthew", "kernel_id": "94236739"}, {"ref": "ibrahimashmawy/lab-4-acl", "kernel_id": "94779521"}, {"ref": "ziadkhhaleddd/in-lab2-scikit-learn", "kernel_id": "94251856"}, {"ref": "ziadkhhaleddd/draft-lab-3-manual-in-lab", "kernel_id": "94953951"}, {"ref": "hagarelgazzar/lab-3-acl", "kernel_id": "94587833"}, {"ref": "lauratta/laura-cherotich-eda", "kernel_id": "94102583"}, {"ref": "ahdmostafa/task3", "kernel_id": "94718056"}, {"ref": "lekhadalvi/notebook6a12d739b9", "kernel_id": "94268282"}, {"ref": "ronakchoubey/submission01-csv", "kernel_id": "94644662"}, {"ref": "welo05/notebookf2c114f4a7", "kernel_id": "94945893"}, {"ref": "ahmedwaleedelfar/ahmed-waleed-elfar-55-1174-acl-lab-3", "kernel_id": "94603177"}, {"ref": "dianarehan/lab-4-from-lab-3", "kernel_id": "94813088"}, {"ref": "seifeldeen232/titanic-survival-prediction-model", "kernel_id": "94399577"}, {"ref": "jorgeandrescatao/notebook38fcacd699", "kernel_id": "94124250"}, {"ref": "berkzam/titanic-dataset", "kernel_id": "94532856"}, {"ref": "risaujihara/titanic-training3-1", "kernel_id": "94808787"}, {"ref": "vkkorir74/assignment-3-exploratory-data-analysis", "kernel_id": "94034502"}, {"ref": "samaahmed1313131/titanic-data-analysis", "kernel_id": "94703676"}, {"ref": "jliaoliveiragomes/uma-parte-do-cp-treino-da-ia", "kernel_id": "94182275"}, {"ref": "cheruyotcollins/collins-cheruyot-eda", "kernel_id": "94041179"}, {"ref": "haniawaleed/lab4-tut27", "kernel_id": "94650224"}, {"ref": "christopherlucasj/titanic", "kernel_id": "94897811"}, {"ref": "tqh2405/challange-1-titanic-machine-learning-final", "kernel_id": "94463329"}, {"ref": "donguythaphong/titanic", "kernel_id": "94098582"}, {"ref": "tuanphmvn/titanic-ver2", "kernel_id": "94364481"}, {"ref": "doduyquynii/hello-titanic", "kernel_id": "94269391"}, {"ref": "omarsaleh1010/acl-task-3-55-0600", "kernel_id": "94841239"}, {"ref": "navyyah/handling-outliers", "kernel_id": "94133808"}, {"ref": "josemariaepalangaara/titanic-modelo-avan-ado-jose-maria-epalanga-ar", "kernel_id": "94636310"}, {"ref": "hei3ujl/notebookb7c2377a29", "kernel_id": "94206736"}, {"ref": "vyachhhh/notebook250610dbb8", "kernel_id": "94208000"}, {"ref": "pechenka0085/notebooka49cf79bcc", "kernel_id": "94083460"}, {"ref": "abdullo432432/notebookfc99e69270", "kernel_id": "94089321"}, {"ref": "nadeemmohammed21/lab-4", "kernel_id": "94355898"}, {"ref": "wsessoms/hw2-from-scratch-regularization", "kernel_id": "94291710"}, {"ref": "wsessoms/hw2-skl-regularization", "kernel_id": "94842358"}, {"ref": "wsessoms/hw2-random-forest-w-skl", "kernel_id": "94855958"}, {"ref": "wsessoms/hw2-random-forest-w-10-fold-cv", "kernel_id": "94936318"}, {"ref": "mamsigift/maboke-ann-cs-da02-25105", "kernel_id": "94845324"}, {"ref": "mohammad09783/notebookb5bf015646", "kernel_id": "94081846"}, {"ref": "cdskaleli/kaleli-benedict-cs-cns10-25067-titanic", "kernel_id": "94131368"}, {"ref": "gasserelharesy/take-home-1", "kernel_id": "94443439"}, {"ref": "ahusseinali/lab-3-task", "kernel_id": "94623872"}, {"ref": "basmalaheshamm/notebookca8ad6c923", "kernel_id": "94730920"}, {"ref": "amrmegahed03/lab-3-task", "kernel_id": "94634426"}, {"ref": "basantttmahmoud/home-task-1-final-basant-mahmoud", "kernel_id": "94608006"}, {"ref": "abdullahelda3oush/lab-3-task", "kernel_id": "94477871"}, {"ref": "mohamedemaddd/mohamed-emad-55-4156-t-24-acl-lab-3", "kernel_id": "94642335"}, {"ref": "ahmedhossam08/acl-lap-home-task-4-55-23390", "kernel_id": "94287391"}, {"ref": "seiifmo/lab-3", "kernel_id": "94646124"}, {"ref": "khaledashmawy/55-25730-lab-4-graded-assignment", "kernel_id": "94606694"}, {"ref": "mohamedgamal6606/take-home-assignment-lab-3", "kernel_id": "94610177"}, {"ref": "engabdallah10/notebooke2ac57ed68", "kernel_id": "94725358"}, {"ref": "zrafat/ziad-55-7978-lab-task-3", "kernel_id": "94041220"}, {"ref": "nadashetewy/lab-3-task", "kernel_id": "94694040"}, {"ref": "xahmedhx/lab-3-notebook", "kernel_id": "94525493"}, {"ref": "mahmouddahmedd/tut-3-home-task", "kernel_id": "94725199"}, {"ref": "ziadabdulghani/lab-4", "kernel_id": "94721539"}, {"ref": "osamaabolata/lab3-task", "kernel_id": "94703476"}, {"ref": "mariammageddddd/lab3acl", "kernel_id": "94749312"}, {"ref": "alihani1/notebook229973393d", "kernel_id": "94685782"}, {"ref": "rawanhaythem/9th-lab-3", "kernel_id": "94464263"}, {"ref": "ayaali123/lab-3", "kernel_id": "94556459"}, {"ref": "ayaali123/lab-4-aya-allam", "kernel_id": "94804825"}, {"ref": "jaydaaroushdy/task-3-at-home", "kernel_id": "94052903"}, {"ref": "markwasef/task-below-lab-3-manual-in-lab", "kernel_id": "94013284"}, {"ref": "omaryayoub/lab-3-take-home", "kernel_id": "94626589"}, {"ref": "seifeldin152003/lab-take-home-task2", "kernel_id": "94014319"}, {"ref": "husseinwasel/neural-network", "kernel_id": "94771206"}, {"ref": "abdullahsherif5/lab-3-task-abdullah-sherif", "kernel_id": "94747713"}, {"ref": "marwanmohamadsisi/marwan-mohamed-55-1950-t19", "kernel_id": "94013353"}, {"ref": "marwanmohi/notebookaf1faf0999", "kernel_id": "94610576"}, {"ref": "tareksherif64/lab3-graded", "kernel_id": "94720081"}, {"ref": "mohamedtamer2025/notebooka779a45da4", "kernel_id": "94280872"}, {"ref": "mohamedtamer2025/lab-4-notebook-manual", "kernel_id": "94894887"}, {"ref": "nirvanakhaled/in-lab-task-3", "kernel_id": "94091467"}, {"ref": "abdallahashour7/lab-3-assignment", "kernel_id": "94090411"}, {"ref": "malakheshammontasser/lab-3-task-malak-hesham-55-6656", "kernel_id": "94532092"}, {"ref": "malakheshammontasser/lab-4-task-malak-hesham-55-6656-t16", "kernel_id": "94091878"}, {"ref": "yassinnossair/acl-lab-task-number-38f2caf3026", "kernel_id": "94849406"}, {"ref": "mohammadwahby/lab-3-graded-task", "kernel_id": "94382217"}, {"ref": "kareemelewa/lab-3-task", "kernel_id": "94092825"}, {"ref": "kareemelewa/lab-4-task", "kernel_id": "94887146"}, {"ref": "youssefhefny04/lab-3", "kernel_id": "94626767"}, {"ref": "youssefhefny04/lab-4", "kernel_id": "94882950"}, {"ref": "moisonkaggle891/notebookc210c73edf", "kernel_id": "94827696"}, {"ref": "mohamedhamzaa02/lab3-takehome", "kernel_id": "94816918"}, {"ref": "youssofahmad/notebook5e352d4b99", "kernel_id": "94093759"}, {"ref": "youssefrizk14/lab-3-acl-youssef-sameh", "kernel_id": "94261553"}, {"ref": "williamfh91/titanic", "kernel_id": "94860122"}, {"ref": "hazemhussein1311/lab-3-at-home-task-hazem-essam-brekaa-55-15850-t-6", "kernel_id": "94610045"}, {"ref": "omarhossam124/lab-3-home-assignment", "kernel_id": "94606307"}, {"ref": "mohamedash33/take-home-task-1", "kernel_id": "94845831"}, {"ref": "aliifadlll/notebook11bdb2c7b1", "kernel_id": "94626233"}, {"ref": "omarmtaha/notebook32b7ee388e", "kernel_id": "94840717"}, {"ref": "ayahkhedr/titanic-machine-learning-from-disasters", "kernel_id": "94837277"}, {"ref": "yaraelkousy/lab-3", "kernel_id": "94633157"}, {"ref": "emmillymbichi/emmilly-mbichi3-da02-25076", "kernel_id": "94455855"}, {"ref": "rommedahlmagana/rommedahl-magana-eda-cs-da02-25058-ipynb", "kernel_id": "94293718"}, {"ref": "mungai42/samuel-mungai-cs-eh03-25227", "kernel_id": "94622270"}, {"ref": "yousseffaizallah/lab-3", "kernel_id": "94416575"}, {"ref": "kamelmoustfa/notebook9fca3208da", "kernel_id": "94939294"}, {"ref": "stephenmunyue/stephen-waithira-cs-eh03-25102-assignment-3", "kernel_id": "94840378"}, {"ref": "mostafaahmed101/notebook94f6e3e36b", "kernel_id": "94519375"}, {"ref": "yousefelmalatawy/acl-lab-3-take-home", "kernel_id": "94243257"}, {"ref": "reemmanassa/lab-3-4-assignments", "kernel_id": "94372856"}, {"ref": "alishaheenck/lab-3", "kernel_id": "94611689"}, {"ref": "hussienhaitham/takehome-task1-acl2", "kernel_id": "94952826"}, {"ref": "marinamedhat21/lab-3", "kernel_id": "94370170"}, {"ref": "gracenyaruaiwachira/grace-wachira-cs-da02-25116-explanatory-data-ana", "kernel_id": "94219543"}, {"ref": "jeffmaende/jeff-maende-eda", "kernel_id": "94007363"}, {"ref": "seifeldinkassem/in-lab2-scikit-learn", "kernel_id": "94252359"}, {"ref": "seifeldinkassem/draft-lab-3-manual-in-lab-f71321", "kernel_id": "94466935"}, {"ref": "abdelrahmantamer213/in-lab2-scikit-learn", "kernel_id": "94251830"}, {"ref": "youssefmedhathamed/in-lab2-scikit-learn", "kernel_id": "94251839"}, {"ref": "youssefallam1/notebook360331692b", "kernel_id": "94979788"}, {"ref": "khalodesta/notebook32d114e132", "kernel_id": "94252278"}, {"ref": "msaufrancis/francis-musau-cs-da02-25017", "kernel_id": "94118871"}, {"ref": "peteradelabdelmalak/notebook2b6a4afecd", "kernel_id": "94924676"}, {"ref": "bensonfuraha/benson-mwandoro-eda-cs-da02-25015", "kernel_id": "94050511"}, {"ref": "willisotondi/willis-otondi-cs-da02-25073-week3-assignment", "kernel_id": "94074164"}, {"ref": "alihossamelmogoly/draft-lab-3-manual-graded-task", "kernel_id": "94656736"}, {"ref": "nikolajtoftandersen/brd671-mvk322-cxz699-portfolio-1b", "kernel_id": "94008358"}, {"ref": "beastobie/fork-of-fork-of-titanic-sophiabea-612268", "kernel_id": "94137530"}, {"ref": "tomokazuhonda/stack12", "kernel_id": "94450638"}, {"ref": "mohamedyosry71/acl-notebook-lab-3", "kernel_id": "94841116"}, {"ref": "clarechepkirui/clare-chepkirui-cs-da-25079-eda", "kernel_id": "94051526"}, {"ref": "happysikubwabo/titanic-eda", "kernel_id": "94161752"}, {"ref": "yyyyyyyyyyyyousef/draft-lab-3-manual-in-lab", "kernel_id": "94014848"}, {"ref": "nouraymanfares/acllab3", "kernel_id": "94644301"}, {"ref": "naomylangat/naomy-langat-cs-da02-25028-eda", "kernel_id": "94104236"}, {"ref": "brian1muthuri/brian-muthuri-titanic-exploratory-data-analysis", "kernel_id": "94251058"}, {"ref": "tommbirui/tom-mbirui-eda", "kernel_id": "94025339"}, {"ref": "perpetuasankale/notebook7c2868f78e", "kernel_id": "94215675"}, {"ref": "mohamedmansour112/labtask3", "kernel_id": "94821280"}, {"ref": "stephanieawuor/stephannie-lumumba-cs-da02-25097-eda", "kernel_id": "94206209"}, {"ref": "kimberleychelsea/kimberley-atieno", "kernel_id": "94218542"}, {"ref": "austingithinji/austin-githinji-t-cs-eh03-25417", "kernel_id": "94094096"}, {"ref": "naim002/naim-salim-eda", "kernel_id": "94097941"}, {"ref": "victoriachep/victoria-chepkoech-cs-cns10-25104-eda", "kernel_id": "94020995"}, {"ref": "jordantowdah/week3-eda", "kernel_id": "94249034"}, {"ref": "laurah3/laura-zipora-cs-da02-25104", "kernel_id": "94741391"}, {"ref": "parasjadon05/titanic-survival-prediction-pipeline", "kernel_id": "94798343"}, {"ref": "parasjadon05/ydata-profiling-tool", "kernel_id": "94060997"}, {"ref": "parasjadon05/titanic-survival-prediction-model", "kernel_id": "94067432"}, {"ref": "maximilangichuru/cs-da02-25114-maximilan-gichuru", "kernel_id": "94012616"}, {"ref": "nicholaskibiwot254/nicholas-kibiwot-cs-da02-25060-eda", "kernel_id": "94147480"}, {"ref": "alyssatrigg1/portfolio-1b-mqr903", "kernel_id": "94107551"}, {"ref": "ohanabento/titanic-ohana-s-notebook", "kernel_id": "94239371"}, {"ref": "maryjeppesen/portfolio1b", "kernel_id": "94126875"}, {"ref": "ysm021234/titanic-dataset", "kernel_id": "94321462"}, {"ref": "malombodan/daniel-malombo", "kernel_id": "94682199"}, {"ref": "tasyasahwasal/pertemuan-2-prak-ml", "kernel_id": "94889304"}, {"ref": "muhammadferyla/kode-praktikum-part-1", "kernel_id": "94888046"}, {"ref": "mralfonsdepelsmaeker/portfolio-1b", "kernel_id": "94131044"}, {"ref": "jonathankped/notebooke1781c3dac", "kernel_id": "94118497"}, {"ref": "homer1774/notebook-titanic-1", "kernel_id": "94450203"}, {"ref": "fernandoquintinojr/titanic-logistic-regression-with-manual-gradient", "kernel_id": "94630328"}, {"ref": "fernandoquintinojr/titanic-logistic-regression-using-scikit-learn", "kernel_id": "94867316"}, {"ref": "gambithiper74/notebook37f5a3be3e", "kernel_id": "94571873"}, {"ref": "islamessam093/predict-survival-on-the-titanic", "kernel_id": "94697698"}, {"ref": "isackolango043/module-5-preparing-data-for-modeling", "kernel_id": "94940911"}, {"ref": "sarthakshree001/ml-first-notebook", "kernel_id": "94449916"}, {"ref": "ahmetmetinoteles/exercise-arithmetic-and-variables", "kernel_id": "94645642"}, {"ref": "xw123xw/machine-learining-homework-2025310186", "kernel_id": "94682771"}, {"ref": "syedshoaib021/titanicml-analysis", "kernel_id": "94901832"}, {"ref": "yulirizky/tugas-yuli-prak-algoritma", "kernel_id": "94790160"}, {"ref": "hamzaelhadidy28111/notebooke849d04553", "kernel_id": "94841247"}, {"ref": "oldgypsybird/titanic-survival-prediction", "kernel_id": "95786160"}, {"ref": "mikeka/titanic-3", "kernel_id": "95763424"}, {"ref": "akhmadfajri/notebook18b1aae8be", "kernel_id": "95003106"}, {"ref": "noriakiito/titanic", "kernel_id": "95751382"}, {"ref": "mayarosama/lab5-nlp-lab", "kernel_id": "95117393"}, {"ref": "carlmcbrideellis/titanic-using-tabpfn", "kernel_id": "95707622"}, {"ref": "mehmetakifciftci/machinelearningbasics-titanic", "kernel_id": "95933143"}, {"ref": "alonsb/titanic-using-deep-learning", "kernel_id": "95487269"}, {"ref": "salahuddinahmedshuvo/titanic01", "kernel_id": "95292097"}, {"ref": "hunter10bt/titanic-migrated", "kernel_id": "95038720"}, {"ref": "tomastekle/getting-started-titanic", "kernel_id": "95267384"}, {"ref": "ongjiunjer/titanic-survivor-prediction", "kernel_id": "95030535"}, {"ref": "wellcum/titanic-project-detailed-data-analysis-ml", "kernel_id": "95404974"}, {"ref": "insyirahazman/titanic-predictions-with-random-forests", "kernel_id": "95007985"}, {"ref": "mrsure/titanic-test", "kernel_id": "95395177"}, {"ref": "mrsure/buw-kaggle-lesson1", "kernel_id": "95137726"}, {"ref": "amrnegm/notebook55d5aee3b2", "kernel_id": "95440370"}, {"ref": "amrnegm/lab4-task", "kernel_id": "95523254"}, {"ref": "amrnegm/lab4-xai", "kernel_id": "95377532"}, {"ref": "dscleo/titanic-machine-learning-from-disaster", "kernel_id": "95734236"}, {"ref": "owusubismarkowiredu/titanic-55", "kernel_id": "95416868"}, {"ref": "nandhakumar1312004/nb-and-kmc", "kernel_id": "95133208"}, {"ref": "yavuzselimcolak/titanik-veri-analizi", "kernel_id": "95357435"}, {"ref": "mahmoudhanyhebishy/acl-lab-4-task", "kernel_id": "95410761"}, {"ref": "maryamarif212222/notebook4296381e3e", "kernel_id": "95033457"}, {"ref": "alamshihab075/a-comprehensive-xgboost-notebook", "kernel_id": "95183307"}, {"ref": "sunlightsunlight/titanic", "kernel_id": "95882843"}, {"ref": "muzamilhussainabbasi/kaggle-titanic-competition", "kernel_id": "95779150"}, {"ref": "ahmedsaidabbas/notebooka702033af1", "kernel_id": "95659317"}, {"ref": "shahdabdelkhalek/lab-4", "kernel_id": "95331802"}, {"ref": "anikchand/titanic-mlfromdisaster", "kernel_id": "95164862"}, {"ref": "nithinjakrebet/titanic-hw-2", "kernel_id": "95696696"}, {"ref": "johnmgage/jmg-titanic-submission", "kernel_id": "95554164"}, {"ref": "rachelchandlee1/rc-titanic-submission", "kernel_id": "95982718"}, {"ref": "rachelchandlee1/rc-titanic-v01", "kernel_id": "95974188"}, {"ref": "azhadarshad/titanic-survival-model", "kernel_id": "95401126"}, {"ref": "alen1211/titanic-competition", "kernel_id": "95264116"}, {"ref": "nourribrahim/lab-4-notebook-manual", "kernel_id": "95294397"}, {"ref": "akashvadakkeveetil/function-transformer", "kernel_id": "95230515"}, {"ref": "seifeldinmoheb/draft-lab-3-manual-in-labff7daf03e7", "kernel_id": "95424481"}, {"ref": "saisagar1122/assg-2", "kernel_id": "95682058"}, {"ref": "nastyakudryawtsewa/notebooka15b0b9846", "kernel_id": "95372907"}, {"ref": "artemdmitrievich/notebook0b9b72c7ad", "kernel_id": "95186990"}, {"ref": "artemdmitrievich/notebook82f826ed3c", "kernel_id": "95286778"}, {"ref": "alelocci/notebook1ab93705c1-tati", "kernel_id": "95503177"}, {"ref": "abdelrahmanelaby/lab4-t27", "kernel_id": "95369621"}, {"ref": "meckvenance/eda-with-titanic-dataset", "kernel_id": "95226116"}, {"ref": "jeynii/blend-of-xgboost-lightgbm", "kernel_id": "95128913"}, {"ref": "balakathirsr/titanic-problem-hw2", "kernel_id": "95824537"}, {"ref": "smitpatel3564/dm-hw2", "kernel_id": "95651115"}, {"ref": "barkinari/random-forest-titanic", "kernel_id": "95298959"}, {"ref": "ocwerfrancis/titanic-machine-learning-0-7894-score", "kernel_id": "95056838"}, {"ref": "nishchalchandel/titanic", "kernel_id": "95469377"}, {"ref": "luisfernandobuchelly/ejemplo-titanic", "kernel_id": "95294751"}, {"ref": "ajaysawandkar/xgboost-titanic", "kernel_id": "95005495"}, {"ref": "brick1ng5654/titanic-rf-knn-svm-blend", "kernel_id": "95400152"}, {"ref": "alikhanhammad/exercise-arithmetic-and-variables", "kernel_id": "95913255"}, {"ref": "zeynepkbalkoan/titanic-data-set", "kernel_id": "95518220"}, {"ref": "ak0283/titantic-prediction", "kernel_id": "95268165"}, {"ref": "sant0x/explainable-ai", "kernel_id": "95383946"}, {"ref": "dianamakarian/our-titanic-machine-learning-from-disaster", "kernel_id": "95271236"}, {"ref": "salmaelhabashy/lab-4-acl", "kernel_id": "95419193"}, {"ref": "joliemagdy/acl-task-4", "kernel_id": "95187595"}, {"ref": "mostafaahmedali/lab-4-gradedtask-mostafaahmed", "kernel_id": "95390529"}, {"ref": "mostafaahmedali/lab-4-notebook-manual-mostafaahmed", "kernel_id": "95386041"}, {"ref": "soaapp/titanic-dataset-prediction-accuracy-82", "kernel_id": "95282557"}, {"ref": "abdelrahmanemad11/lab4-takehometask", "kernel_id": "95548496"}, {"ref": "janaabdelbaky/acl-lab-4-task", "kernel_id": "95390602"}, {"ref": "youssefyassereloraby/lab-4", "kernel_id": "95819650"}, {"ref": "omosallam/notebook0a9379f8db", "kernel_id": "95396753"}, {"ref": "johnny28/titanic-rf-version", "kernel_id": "95339967"}, {"ref": "mightguy2409/titanic-hw2-task-1", "kernel_id": "95547823"}, {"ref": "michaelweesa/lab4-michaelmaged", "kernel_id": "95529672"}, {"ref": "zeiadenani/acl-lab-4", "kernel_id": "95794168"}, {"ref": "demianala5sham/tasklab4", "kernel_id": "95509694"}, {"ref": "mohammedbackar/lab-4assignment", "kernel_id": "95608712"}, {"ref": "yassinmarwan/notebook43d7aad018", "kernel_id": "95662181"}, {"ref": "tharunnntej/randomforestclassifier", "kernel_id": "95240818"}, {"ref": "ahmedwael04/home-graded-task-lab-4", "kernel_id": "95092290"}, {"ref": "darineabdelkhalek/takehome2", "kernel_id": "95521612"}, {"ref": "haidyyamr/notebook08f76b2b0b", "kernel_id": "95526720"}, {"ref": "ahmedhamdy4255/acl-assignment-4", "kernel_id": "95404665"}, {"ref": "mariamgafar/lab-4", "kernel_id": "95422088"}, {"ref": "youssefsherifsabry/lab-4-notebook", "kernel_id": "95810294"}, {"ref": "maryams91101/exercise-arithmetic-and-variables", "kernel_id": "95610197"}, {"ref": "nanaagyeikwarteng/titanic-predictive-model", "kernel_id": "95790492"}, {"ref": "malakmostafa12345/malak-ahmed-ismail-55-9574-lab4", "kernel_id": "95374261"}, {"ref": "tasohesham/lab-4-graded-task", "kernel_id": "95401986"}, {"ref": "karimhisham1/lab-4-assignment-karim-hisham-55-3476", "kernel_id": "95512316"}, {"ref": "nourdaoud/acl-lab-4-task", "kernel_id": "95484922"}, {"ref": "seifelsheikh/lab-4-assignment", "kernel_id": "95651527"}, {"ref": "yahiahanafi/notebook6e7e720eed", "kernel_id": "95079594"}, {"ref": "yahiahanafi/notebook6e7e720eedf920d73ca7", "kernel_id": "95134230"}, {"ref": "abdelrahmanmokhtar8/lab-4-abdelrahman-ahmed-mokhtar", "kernel_id": "95129072"}, {"ref": "ahmedaminn/lab4acl", "kernel_id": "95492187"}, {"ref": "marziyeamini/notebook6f7906142a", "kernel_id": "95139274"}, {"ref": "brandname264/titanic1", "kernel_id": "95229865"}, {"ref": "hagarelgazzar/lab-4-acl-v3", "kernel_id": "95522841"}, {"ref": "shahawya/lab-4-notebook-manual-01e26f", "kernel_id": "95383424"}, {"ref": "danieldilli/linear-model-and-neural-net-from-scratch", "kernel_id": "95066916"}, {"ref": "shreyashpatil217/titanic-survival-prediction-advanced-solution", "kernel_id": "95693020"}, {"ref": "kerolosfam/lab-4-task", "kernel_id": "95801039"}, {"ref": "mohamedelnaggar1223/notebookee8862f22d", "kernel_id": "95791025"}, {"ref": "pardissaedi/passengers-survived-with-logestic-reg", "kernel_id": "95520657"}, {"ref": "ahmjadjad/titanic-final-pipeline", "kernel_id": "95932856"}, {"ref": "ahmedwaleedelfar/ahmed-waleed-elfar-55-1174-acl-lab-4", "kernel_id": "95548679"}, {"ref": "soshiluc/techpres-titanic-tutorial", "kernel_id": "95586861"}, {"ref": "shreyaghorui/titanic-mlfromdisaster", "kernel_id": "95165523"}, {"ref": "mfaiz51826/titanic-data-characterization-and-model", "kernel_id": "95345921"}, {"ref": "karanraturi/titanic-prediction", "kernel_id": "95559068"}, {"ref": "musk2025/notebookf9c2d097dc", "kernel_id": "95240181"}, {"ref": "silvinahariati/silvi-titanic", "kernel_id": "95049714"}, {"ref": "kentarokujo/titanic-competition", "kernel_id": "95765400"}, {"ref": "yungenchiang/notebookf6a4b64483", "kernel_id": "95103382"}, {"ref": "chkhangdng/titanic-9876fc", "kernel_id": "95476829"}, {"ref": "fajriyuliana/titanic-fajriy", "kernel_id": "95128083"}, {"ref": "emiliegunti/cse572-hw2-problem-1", "kernel_id": "95696417"}, {"ref": "niearanie/titanic-mlp-harirah-horaniyah", "kernel_id": "95057195"}, {"ref": "ridhamsonani/hw2-titatnic-data-set", "kernel_id": "95548245"}, {"ref": "mohammedwaleed11/mohammed-waleed-lab4-task", "kernel_id": "95381367"}, {"ref": "omarsaleh1010/draft-lab-3-manual-in-lab", "kernel_id": "95641748"}, {"ref": "uzumi14/notebookdad513c455", "kernel_id": "95332840"}, {"ref": "daniyal001/aiml-lab06-answer", "kernel_id": "95242245"}, {"ref": "daniyal001/aiml-lab07-answer", "kernel_id": "95783544"}, {"ref": "wsessoms/hw2-skl-linear-regression-ridge-10-fold-cv", "kernel_id": "95075673"}, {"ref": "moali7061/lab-4-graded-task", "kernel_id": "95637095"}, {"ref": "karimemaad/notebook25ac83d316", "kernel_id": "95403949"}, {"ref": "kamalsk5/acl-lab4", "kernel_id": "95374119"}, {"ref": "abdelrahmanzakzouk/notebookf2483728d7", "kernel_id": "95409714"}, {"ref": "samatamerr20/lab-4-assig", "kernel_id": "95369372"}, {"ref": "alybasyouni/acl-lab-4", "kernel_id": "95286161"}, {"ref": "omarsobhy03/lab-4-task", "kernel_id": "95287994"}, {"ref": "alyaashoush03/manual-lab-4", "kernel_id": "95308106"}, {"ref": "rodiyatulfathonah/titanic-mlp-rodiyatul-fathonah", "kernel_id": "95046468"}, {"ref": "mohamedhishamm1/notebookaba13f0952", "kernel_id": "95547846"}, {"ref": "nadashetewy/lab-4-task", "kernel_id": "95536798"}, {"ref": "markwasef/lab-4-task", "kernel_id": "95407178"}, {"ref": "husseinwasel/shape", "kernel_id": "95537879"}, {"ref": "abdullahsherif5/fork-of-notebook16eef10bbf", "kernel_id": "95509807"}, {"ref": "marwanmohamadsisi/at-home-task-2-marwan-mohamed-55-1950", "kernel_id": "95537030"}, {"ref": "omarharidy1/notebookad5f50519b", "kernel_id": "95595301"}, {"ref": "yassinnossair/acl-lab-task-number-4-yassin-nossair", "kernel_id": "95694545"}, {"ref": "mohammadwahby/lab-4-graded-task", "kernel_id": "95034123"}, {"ref": "moisonkaggle891/lab-4-acl-mha", "kernel_id": "95290712"}, {"ref": "mohamedhamzaa02/lab4-takehome", "kernel_id": "95661331"}, {"ref": "youssefrizk14/lab-4-take-home-acl-youssef-sameh-55-1491", "kernel_id": "95660581"}, {"ref": "ahmedashoub/lab4-inclass", "kernel_id": "95648984"}, {"ref": "adammongy/in-lab-task-4-graded-task-4", "kernel_id": "95497045"}, {"ref": "yousseffaizallah/lab-44", "kernel_id": "95482358"}, {"ref": "yousseffaizallah/lab-3a96681ee84", "kernel_id": "95484127"}, {"ref": "kamelmoustfa/lab-4-notebook-manual", "kernel_id": "95847876"}, {"ref": "mostafaahmed101/notebook94f6e3e36b8135ce84bb", "kernel_id": "95766533"}, {"ref": "nourhanhesham12/notebook3096352c28", "kernel_id": "95423430"}, {"ref": "hussienhaitham/lab-4-acl-55-6592", "kernel_id": "95820761"}, {"ref": "abdelrahmantamer213/lab-4-notebook-manual", "kernel_id": "95005707"}, {"ref": "aldrick77/my-first-titanic-try", "kernel_id": "95301297"}, {"ref": "nouraymanfares/acllab4", "kernel_id": "95388882"}, {"ref": "fanlizhong/the-complex-version-for-titanic-score-0-794", "kernel_id": "95322641"}, {"ref": "parasjadon05/titanic-survival-submission", "kernel_id": "95542922"}, {"ref": "duaabaniissa/titanic", "kernel_id": "95651230"}, {"ref": "dellahartikaputri/titanic-mlp-del", "kernel_id": "95040758"}, {"ref": "dellahartikaputri/mlp-titanic", "kernel_id": "95045430"}, {"ref": "eaboxu/titanic-survival-prediction", "kernel_id": "95763924"}, {"ref": "arifemrepolat0/notebookdc534bb9dc", "kernel_id": "95644839"}, {"ref": "efekarameseis/titanic-compt2", "kernel_id": "95917073"}, {"ref": "lavynenambuye/module-5-preparing-data-for-modeling", "kernel_id": "95074648"}, {"ref": "armukivar/exercise-arithmetic-and-variables", "kernel_id": "95678102"}, {"ref": "mufaronyabereka/exercise-arithmetic-and-variables", "kernel_id": "95077154"}, {"ref": "abeldoni/titanic-mlp-abel-doni", "kernel_id": "95087906"}, {"ref": "jimjeremyjustin/titanic-jim-jeremy", "kernel_id": "95094477"}, {"ref": "vinantihegde/exercise-arithmetic-and-variables", "kernel_id": "95151164"}, {"ref": "hexagontal/titanic-project-example", "kernel_id": "95610473"}, {"ref": "dumbozzy/test1", "kernel_id": "95352663"}, {"ref": "mikhailyakutovich/titanic-competition-with-simple-xgboost", "kernel_id": "95350928"}, {"ref": "mayank0032/exercise-arithmetic-and-variables", "kernel_id": "95360978"}, {"ref": "gadamsettyjoshitha/getting-started-with-titanic", "kernel_id": "95963379"}, {"ref": "boucennaaminadorah/practical-work2", "kernel_id": "95511506"}, {"ref": "dandigayashwanth/exercise-arithmetic-and-variables", "kernel_id": "95523638"}, {"ref": "sarahchampagne/titanic-3-43c2b8", "kernel_id": "95958893"}, {"ref": "srujanbonula/titanic-tutorial", "kernel_id": "95563743"}, {"ref": "aarynalfred/aaa-titanic-v01", "kernel_id": "95678414"}, {"ref": "bhagwatdarwade/lab4-takehometask", "kernel_id": "95691000"}, {"ref": "guljamal/titanic-survival-prediction-with-tree-based-models", "kernel_id": "96562628"}, {"ref": "chintanshukla/cs-titanic-submission-v01", "kernel_id": "96317533"}, {"ref": "chintanshukla/cs-titanic-v01", "kernel_id": "96151397"}, {"ref": "badarchenhchimeg/fork-of-re-skilling-data-analysis-titanic", "kernel_id": "96036253"}, {"ref": "udaykgl/titanic-decisciontreeclassifiernb", "kernel_id": "96585142"}, {"ref": "marka271202/lab5-graded-task", "kernel_id": "96692034"}, {"ref": "aliciarsimmons/as-titanic-submission", "kernel_id": "96159044"}, {"ref": "michaelobengabu47/titanic-tutorial", "kernel_id": "96267740"}, {"ref": "ouzhanakr/titanic-xgboost", "kernel_id": "96856021"}, {"ref": "lamiorkor/titanic-ml-challenge-nlb", "kernel_id": "96717342"}, {"ref": "awesomestar/classification-1-titanic-dataset", "kernel_id": "96422548"}, {"ref": "mehmetburakalbayrak/titanic-prediction-with-lgbm", "kernel_id": "96296830"}, {"ref": "miloszkryzia/milosz-kryzia-submission-titanic", "kernel_id": "96458023"}, {"ref": "jensond/getting-started-with-titanic", "kernel_id": "96442313"}, {"ref": "lovekumar143/simple-titanic-survival-prediction", "kernel_id": "96239712"}, {"ref": "developerzulkarnain/comptitanic", "kernel_id": "96340829"}, {"ref": "guwahati3/titanic-eda-5-models", "kernel_id": "96118075"}, {"ref": "johnmgage/jmg-titanic-v01", "kernel_id": "96089137"}, {"ref": "keshav29agarwal/eda-exploratory-data-analysis", "kernel_id": "96658363"}, {"ref": "robertovelezdiaz/reto-titanic-rvd-vf", "kernel_id": "96581723"}, {"ref": "robertovelezdiaz/reto-titanic-upb", "kernel_id": "96698710"}, {"ref": "piyushguptav/machine-learning-practice-classification", "kernel_id": "96101834"}, {"ref": "dharmit63/titanic-prediction", "kernel_id": "96813017"}, {"ref": "ldausl/top-1-titanic-machine-learning-from-disaster-1", "kernel_id": "96196410"}, {"ref": "gracenganga/grace-nganga-titanic-eda", "kernel_id": "96496957"}, {"ref": "tdang2180/getting-started-with-titanic", "kernel_id": "96471950"}, {"ref": "shaider001/sh-titanic-v01", "kernel_id": "96561157"}, {"ref": "shaider001/sh-titanic-v01-submission", "kernel_id": "96577800"}, {"ref": "clairehuang2024/titanic-tutorial", "kernel_id": "96180270"}, {"ref": "khtibrabab/titanic-ml-from-disaster", "kernel_id": "96294662"}, {"ref": "salambababukunyi/salam-bababukunyi-0415006-titanic-survive-dataset", "kernel_id": "96601427"}, {"ref": "umarii04/titanic-kaggle-competition-using-neural-networks", "kernel_id": "96412518"}, {"ref": "johnogilvie/jwo-titanic-selection-v01", "kernel_id": "96083468"}, {"ref": "khoipham305/khoi-pham-quiz-2-titanic", "kernel_id": "96018648"}, {"ref": "sandrograziosi/getting-started-with-titanic", "kernel_id": "96404954"}, {"ref": "sarahelsayed12/titanic2", "kernel_id": "96075273"}, {"ref": "sylviafaris/lab5-nlp-55-24910", "kernel_id": "96569585"}, {"ref": "shamsmagdy12/eda-for-stp", "kernel_id": "96088690"}, {"ref": "ahmetcanberkunal/titanic-analysis-lr-dt-randomforest-gripsearch", "kernel_id": "96058091"}, {"ref": "angrypakhi/titanic-competition", "kernel_id": "96074354"}, {"ref": "motiwala124/titanic-ml-model", "kernel_id": "96939988"}, {"ref": "nadeenhassan/lab5taskkkk", "kernel_id": "96565349"}, {"ref": "k3vim229/playground-titanic", "kernel_id": "96898580"}, {"ref": "michaelklim/titanic", "kernel_id": "96583787"}, {"ref": "aliciamfernandez/af-titanic-v01", "kernel_id": "96720208"}, {"ref": "aliciamfernandez/af-titanic-submission", "kernel_id": "96720352"}, {"ref": "osmansevili/titanic-machine-learning", "kernel_id": "96123482"}, {"ref": "michaclifton/mc-titanic-submission", "kernel_id": "96563051"}, {"ref": "sunnynguyensanjoseca/titanic-machine-learning-from-disaster", "kernel_id": "96167874"}, {"ref": "jerodprindable/jp-titanic-submission-v01", "kernel_id": "96699470"}, {"ref": "jerodprindable/jp-titanic-v13", "kernel_id": "96675855"}, {"ref": "darrellwood757/dw-titanic-submission", "kernel_id": "96384471"}, {"ref": "amirhosseinesbati/my-first-kaggle-notebook-titanic-survival-predic", "kernel_id": "96683864"}, {"ref": "yunusemreduman/titanic-rfc", "kernel_id": "96234333"}, {"ref": "oromoalex/jeffs-titanic-code", "kernel_id": "96305604"}, {"ref": "gajulahemant/notebook4b13377e38", "kernel_id": "96683673"}, {"ref": "matthewbott123/fork-of-getting-started-with-titanic", "kernel_id": "96432712"}, {"ref": "spoorthyvedamurthy/titanic", "kernel_id": "96795878"}, {"ref": "sibasis319/notebookb4cea3c41a", "kernel_id": "96166128"}, {"ref": "kentarokujo/f-titanic-competition", "kernel_id": "96005939"}, {"ref": "zeeshan7355/python-seaborn", "kernel_id": "96758622"}, {"ref": "theonakfoor/cs4650-getting-started-with-titanic", "kernel_id": "96419076"}, {"ref": "paharpurailab/titanic-1", "kernel_id": "96844939"}, {"ref": "claghiitaaa/probabilitas-naive-bayes-clarin", "kernel_id": "96184952"}, {"ref": "abdelrahmankhairat/lab5-nlp-lab-9caf60", "kernel_id": "96647073"}, {"ref": "adrienthomas/notebook829c8ed030", "kernel_id": "96337248"}, {"ref": "aslan2analysthu/titanicsurvivalprediction", "kernel_id": "96098103"}, {"ref": "amritkumar2112232/notebookc7feaf9a35", "kernel_id": "96240479"}, {"ref": "isackolango043/module-10-classification-ii", "kernel_id": "96973013"}, {"ref": "isackolango043/module-9", "kernel_id": "96828424"}, {"ref": "arifemrepolat0/titanic-xgboost-ml", "kernel_id": "96533609"}, {"ref": "shuvokarmakar/predict-survival-on-the-titanic", "kernel_id": "96786572"}, {"ref": "lavynenambuye/module-8-regression-modelling", "kernel_id": "96835772"}, {"ref": "lavynenambuye/module-9-classification-models-1", "kernel_id": "96843581"}, {"ref": "lavynenambuye/module-7-machine-learning-foundations", "kernel_id": "96698849"}, {"ref": "anastasiachepurina/exercise-arithmetic-and-variables", "kernel_id": "96068658"}, {"ref": "danielacanazaramos/proyecto-5", "kernel_id": "96456547"}, {"ref": "tolgahankayatrk/bestwork", "kernel_id": "96047834"}, {"ref": "kndtsanyasirao/exercise-arithmetic-and-variables", "kernel_id": "96266345"}, {"ref": "mackenziebristow/mb-titanic-submission-v01", "kernel_id": "96706205"}, {"ref": "shaikmohammadafroz/titanic", "kernel_id": "96110332"}, {"ref": "lucas6089/notebook33ccabfea8", "kernel_id": "96248966"}, {"ref": "gbemara/ka-titanic-v01-9d72f1", "kernel_id": "96341176"}, {"ref": "gbemara/ka-titanic-submission", "kernel_id": "96342467"}, {"ref": "muhamadridhoramadhan/muhamad-ridho-ramadhan", "kernel_id": "96898795"}, {"ref": "theanshikasharma/kaggletitanic", "kernel_id": "96106488"}, {"ref": "mohankrishna333666/exercise-arithmetic-and-variables", "kernel_id": "96217655"}, {"ref": "alexmorganorg/ttttt", "kernel_id": "96475725"}, {"ref": "hiteshreespatel/titanic-survival-prediction-with-machine-learning", "kernel_id": "96691681"}, {"ref": "lucaluo925/titanic-survival-prediction", "kernel_id": "96572388"}, {"ref": "manvithchowdary/notebook488a0ba410", "kernel_id": "96649554"}, {"ref": "normanrowens/nro-titanic-v01", "kernel_id": "96706124"}, {"ref": "akhmadafii/exercise-arithmetic-and-variables", "kernel_id": "96812351"}, {"ref": "gaurangjdesai/notebook-desai", "kernel_id": "96867151"}, {"ref": "shivaseth85/titanic-gift-task85", "kernel_id": "96943074"}, {"ref": "raizelkhanna/arithmetic-variables-kaggle-familiarisation", "kernel_id": "96969978"}, {"ref": "sung2ne/titanic-pycaret", "kernel_id": "97765268"}, {"ref": "nnjjpp/devloping-on-github-com-titanic-example", "kernel_id": "97367172"}, {"ref": "stpeteishii/mutual-feature-importance-in-titanic", "kernel_id": "97959738"}, {"ref": "kpmaster2k/titanic-survival-prediction-with-ml", "kernel_id": "97008753"}, {"ref": "aleehamza/darkhorse-titanic", "kernel_id": "97237118"}, {"ref": "arvindh22/titanic-disaster-prediction", "kernel_id": "97064265"}, {"ref": "p77091067/logisticregression", "kernel_id": "97374342"}, {"ref": "rishabh2007/car-scales-regression-model-eda", "kernel_id": "97769366"}, {"ref": "amirhosseinkarimiee/notebooka3d0925d08", "kernel_id": "97455793"}, {"ref": "sibusisoanganathi/notebookcd7c35d309", "kernel_id": "97702507"}, {"ref": "marylka/pytorch-logistic-regression-cross-entropy", "kernel_id": "97840263"}, {"ref": "fiona051/solution-for-titanic", "kernel_id": "97671189"}, {"ref": "dolevevenhaim/titanic-random-forest-logistic-regressions", "kernel_id": "97268412"}, {"ref": "bunyaphonai/titanic-autogluon", "kernel_id": "97919468"}, {"ref": "stjstone/getting-started-with-titanic", "kernel_id": "97863590"}, {"ref": "mdismailquraishi/titanic-machine-learning-from-disaster", "kernel_id": "97035499"}, {"ref": "saadmohammad7275/kaggle-titanic-dataset-7275", "kernel_id": "97303042"}, {"ref": "kopyaesonephyo/glm-for-assignment", "kernel_id": "97185315"}, {"ref": "mcubukluoz/random-forest-titanic", "kernel_id": "97541888"}, {"ref": "xumomo/notebookd82e58909b", "kernel_id": "97014675"}, {"ref": "tanneruyuvatejasri/titanic-survival-prediction-using-random-forest", "kernel_id": "97849993"}, {"ref": "dhevesharun/dhevesh-titanic", "kernel_id": "97236125"}, {"ref": "alicihanbilgi/titanic-data-reading-and-recognition", "kernel_id": "97785031"}, {"ref": "jalpatel111/titanic-data-science-solutions-jal-patel-hw2", "kernel_id": "97587180"}, {"ref": "labibhadi/labibtitanic", "kernel_id": "97032487"}, {"ref": "yuriiskandia/titanic-tutorial-yuri", "kernel_id": "97490269"}, {"ref": "lisahumairoh/titanic-competition-notebook", "kernel_id": "97499515"}, {"ref": "izzahaulianurrisa/titanic-izzah-aulia", "kernel_id": "97033961"}, {"ref": "sammqq/titanic-challenge", "kernel_id": "97032259"}, {"ref": "hadyanh/learn-titanic", "kernel_id": "97032085"}, {"ref": "simarbirsinghsandhu/titanic-feature-engg-multiple-models", "kernel_id": "97132255"}, {"ref": "raflisujatmiko/0102523051-titanic-challenge", "kernel_id": "97029533"}, {"ref": "aliafellanitami/titanic-alia", "kernel_id": "97032764"}, {"ref": "muhammadubaidillah1/test-titanic-muhammad-ubaidillah-a", "kernel_id": "97031774"}, {"ref": "lamsyah25/notebook838fc925e6", "kernel_id": "97697265"}, {"ref": "lamsyah25/titanic-competition-3784cd", "kernel_id": "97695573"}, {"ref": "adhimatenri/getting-start-with-titanic", "kernel_id": "97347138"}, {"ref": "fachrireyhan/titanic-33x", "kernel_id": "97666141"}, {"ref": "adityakumarrai0401/getting-started-with-titanic", "kernel_id": "97391240"}, {"ref": "ursulakmpel/getting-started-with-titanic-notebook", "kernel_id": "97660536"}, {"ref": "shubhamss159/titanic-eda-ml-pipeline", "kernel_id": "97251435"}, {"ref": "caesaraurel/titanic-tutorial", "kernel_id": "97695295"}, {"ref": "akshatraj12/exercise-arithmetic-and-variables", "kernel_id": "97139049"}, {"ref": "armaanaj/titanic-competition", "kernel_id": "97507322"}, {"ref": "sofiyanshaik/ml-algo-s-logistic-regression-from-basics-eda", "kernel_id": "97263108"}, {"ref": "sofiyanshaik/all-ml-algos-updated-to-new-version", "kernel_id": "97116394"}, {"ref": "ayilabharathchandra/notebookacbda1510a", "kernel_id": "97671943"}, {"ref": "divyanshkumar2317/divyanshkumar-a2305224217", "kernel_id": "97194479"}, {"ref": "ananyasharma23/ananya-sharma-a2305224214", "kernel_id": "97197695"}, {"ref": "ramzii16/titanic-competition", "kernel_id": "97414815"}, {"ref": "wolfenyash/a2305224189-yash-sharma", "kernel_id": "97194734"}, {"ref": "rapidace/train-csv-session-dotpy", "kernel_id": "97131775"}, {"ref": "romaneyvazov/titanic-v5-eda-different-models-0-7799", "kernel_id": "97086993"}, {"ref": "zubinkalavade/titanic-classic-ml", "kernel_id": "97727496"}, {"ref": "mustafakemal0146/notebookf665f84672", "kernel_id": "97553500"}, {"ref": "affan01ahmad/affan2", "kernel_id": "97197981"}, {"ref": "affan01ahmad/affan-ahmad-a2305224184", "kernel_id": "97194651"}, {"ref": "duongthanhtai1308/duong-thanh-tai-4901104125", "kernel_id": "97517884"}, {"ref": "daniyal001/aiml-p08-2024", "kernel_id": "97603954"}, {"ref": "ghxstfrh/predicting-titanic-survivor", "kernel_id": "97683307"}, {"ref": "pavankalyanlingutla/datamining-hw2", "kernel_id": "97476558"}, {"ref": "sumasreevemuri1116/notebook79cf85380a", "kernel_id": "97420930"}, {"ref": "anushka1213up/anushka-upadhyay-a2305334188", "kernel_id": "97195139"}, {"ref": "akshatsaxenaamity/akshat-saxena-a2305224199", "kernel_id": "97196026"}, {"ref": "parthdubeyy/parthdubey", "kernel_id": "97194518"}, {"ref": "abdulkalamazaadshaik/notebook1f54a7bfae", "kernel_id": "97530623"}, {"ref": "alinaterre/kaggle-titanic", "kernel_id": "97668603"}, {"ref": "jpwols/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "97314718"}, {"ref": "piotrjurczyk/titanic-ensemble-model", "kernel_id": "97876193"}, {"ref": "schoolaltaf/titanic-competition", "kernel_id": "97505458"}, {"ref": "lavynenambuye/module-10-clasification-ii", "kernel_id": "97096631"}, {"ref": "pranjal101shri/crispdm", "kernel_id": "97755862"}, {"ref": "nazwadjulia24/titanic-nazwadjulia", "kernel_id": "97032905"}, {"ref": "ginaindriani/ginaindriani", "kernel_id": "97444919"}, {"ref": "dravenster/titanic-distribusi-dravenster", "kernel_id": "97032291"}, {"ref": "zahwamutiara/titanic-zahwamutiara-0102523061", "kernel_id": "97032431"}, {"ref": "ozyghazy/titanicodebyghazy", "kernel_id": "97032401"}, {"ref": "azzamrafi/test-titanic", "kernel_id": "97032529"}, {"ref": "putrra27/try-titanic-putra", "kernel_id": "97032843"}, {"ref": "diductus/ahmad-daffa", "kernel_id": "97032538"}, {"ref": "kuproyai/test-titanic", "kernel_id": "97032260"}, {"ref": "syakiraabigail/titanic-syakira-abigail-al-w", "kernel_id": "97032549"}, {"ref": "airlanggawibowo/titanic-comptitions", "kernel_id": "97349148"}, {"ref": "zikrulnaufalaqil/submission-zikrul", "kernel_id": "97447388"}, {"ref": "purnamasariwulan/titanic", "kernel_id": "97549339"}, {"ref": "fasyanindyaa/submission2", "kernel_id": "97411238"}, {"ref": "muahaima/titanic-lesson-submit-competition", "kernel_id": "97488578"}, {"ref": "niaastuti20/exercise-python", "kernel_id": "97498927"}, {"ref": "azzindanzulvan/titanic1", "kernel_id": "97529401"}, {"ref": "azzamabdullahumar/getting-start-with-titanic", "kernel_id": "97452399"}, {"ref": "rt4mb0/getting-started-with-titanic", "kernel_id": "97500037"}, {"ref": "alfannurkhasani/titanic-competition", "kernel_id": "97501086"}, {"ref": "hadisap/titanic-tutor", "kernel_id": "97532783"}, {"ref": "fadzrilfebrizky/titanic-tutor", "kernel_id": "97509563"}, {"ref": "juliaardhana/titanic-tutor", "kernel_id": "97531021"}, {"ref": "srilithigopisetti/titanic-eda-by-chutya", "kernel_id": "97732229"}, {"ref": "rohman1605/notebook96558f62fe", "kernel_id": "97501241"}, {"ref": "farhanfahim00/titanic-survivor-prediction", "kernel_id": "97156743"}, {"ref": "yadira19james/getting-started-with-titanic", "kernel_id": "97033277"}, {"ref": "vigneshgupta07/vigneshgupta007", "kernel_id": "97355040"}, {"ref": "katerinaml/notebookef92c90bc9", "kernel_id": "97372578"}, {"ref": "sathyanikhilesh/log-reg-s-nikhilesh", "kernel_id": "97401827"}, {"ref": "amberisisis/notebook3ecc43b4b4", "kernel_id": "97556109"}, {"ref": "claritywithdata/clarity-with-data-titanic-survival-project", "kernel_id": "97561867"}, {"ref": "hisashimori/notebookf3869a8b2d", "kernel_id": "97710218"}, {"ref": "arjunsubra/notebook596ca43e52", "kernel_id": "97869955"}, {"ref": "awanishsingh22/titanic-logistic-regression-awanish", "kernel_id": "98970604"}, {"ref": "sharmajicoder/notebook05709b6334", "kernel_id": "98260066"}, {"ref": "pawanu03/exploratory-data-analysis-of-titanic-dataset", "kernel_id": "98965705"}, {"ref": "ohanacamargo/titanic-modelo-rvore-de-decis-o", "kernel_id": "98314547"}, {"ref": "jay25patel/titanic-beginner-analysis", "kernel_id": "98030885"}, {"ref": "mehmetisik/titanic-ml-pipeline-34-step-masterclass", "kernel_id": "98352127"}, {"ref": "hamzanaobahar/notebook885ac488d0", "kernel_id": "98537908"}, {"ref": "miguellugo7/titanic-machine-learning-analysis", "kernel_id": "98360233"}, {"ref": "hmddhm/titanic-random-forest", "kernel_id": "98472348"}, {"ref": "dileesha12/titanic-model-for-prediction", "kernel_id": "98768434"}, {"ref": "muizbello/titanic-dataset-exploration", "kernel_id": "98172220"}, {"ref": "oops26/titanic-survivor-prediction-model-v1", "kernel_id": "98446616"}, {"ref": "msijewelsaif/exercise-arithmetic-and-variables", "kernel_id": "98340742"}, {"ref": "antaranath/titanic-survival-prediction-feature-engineering", "kernel_id": "98703958"}, {"ref": "hstsethi/titanic-random", "kernel_id": "98597507"}, {"ref": "szyliii/ai-star-ws", "kernel_id": "98480793"}, {"ref": "mohamedwaelw2s/lab5-nlp-lab-task", "kernel_id": "98053065"}, {"ref": "ivnbarajashurtado/notebook139247316e", "kernel_id": "98483826"}, {"ref": "brandname264/titanic2", "kernel_id": "98511410"}, {"ref": "akshatraj12/titanic-tutorial", "kernel_id": "98179201"}, {"ref": "centroc2/titanic-tutorial-model", "kernel_id": "98245633"}, {"ref": "sashaivey/titanic-final", "kernel_id": "98648740"}, {"ref": "karolmatu/notebook65a71b3a5d", "kernel_id": "98502840"}, {"ref": "akshitabehl/eda-practice", "kernel_id": "98116440"}, {"ref": "kavyadharshiniism/titanic-case", "kernel_id": "98413268"}, {"ref": "gaddegowtham/titanic-tutorial", "kernel_id": "98574006"}, {"ref": "gajulahemant/notebook4b13377e38d9d9ab895c", "kernel_id": "98814344"}, {"ref": "jeanjfernandes/titanicsurvivalprediction", "kernel_id": "98468877"}, {"ref": "juandomingues/titanic-classification-models-performance", "kernel_id": "98313961"}, {"ref": "tmncollins/ml-journal-2-titanic-survival", "kernel_id": "98829596"}, {"ref": "hitarthpatel24/ml-learn-3-scikit-learn-pipeline", "kernel_id": "98115694"}, {"ref": "maxgruebmeyer/titanic-ensemble-rfc-extra-trees-xgb-82", "kernel_id": "98602824"}, {"ref": "afr1ste/afr1ste-s-answer-for-titanic", "kernel_id": "98382777"}, {"ref": "rishiteja8055/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "98327632"}, {"ref": "flashyn/atividade-extra-randomforestclassifier", "kernel_id": "98043968"}, {"ref": "wasanhaddad/titanic-ml-project", "kernel_id": "98355124"}, {"ref": "b22dccn320trnminhhiu/lazytransform-lazypredict", "kernel_id": "98595549"}, {"ref": "b22dccn320trnminhhiu/doubleml", "kernel_id": "98589478"}, {"ref": "christenore/titanic-ct-rf", "kernel_id": "98177940"}, {"ref": "christenore/titanic-ct-gb", "kernel_id": "98494250"}, {"ref": "mohdshavej/exercise-arithmetic-and-variables", "kernel_id": "98442091"}, {"ref": "friedelepple/titanic-name-parser", "kernel_id": "98604865"}, {"ref": "aishaghous/kaggle-learning", "kernel_id": "98132524"}, {"ref": "harshajgopal/notebookc991ea2c9e", "kernel_id": "98190965"}, {"ref": "dominikgowacki/titanic-analysis", "kernel_id": "98825574"}, {"ref": "faizakbaruai185/notebookc02d49133c", "kernel_id": "98314530"}, {"ref": "kuldeeppatel1/exercise-arithmetic-and-variables", "kernel_id": "98941000"}, {"ref": "sathwiknalluri/titanic-ml", "kernel_id": "98450845"}, {"ref": "kaviyarasu033/exercise-arithmetic-and-variables", "kernel_id": "98612760"}, {"ref": "darwinjebaraj/exercise-arithmetic-and-variables", "kernel_id": "98784652"}, {"ref": "shaluchaurasia/notebooka5fb12bcb5", "kernel_id": "98201046"}, {"ref": "zhuhaoyang/zhu-s-starting-with-titanic", "kernel_id": "98282467"}, {"ref": "azadidrishi/notebooke2df19903c", "kernel_id": "98857542"}, {"ref": "rito3669/titanic-pred", "kernel_id": "98126428"}, {"ref": "imemusfiq/titanic-ml-practical-1st", "kernel_id": "98815697"}, {"ref": "pchangkwain/preparet", "kernel_id": "98261436"}, {"ref": "stan212589/exercise-arithmetic-and-variables", "kernel_id": "98298777"}, {"ref": "yogayogakannan/exercise-arithmetic-and-variables", "kernel_id": "98982573"}, {"ref": "www5685/notebook419610adfe", "kernel_id": "98571928"}, {"ref": "gokulnath7077/titanic-machine-learning", "kernel_id": "98535739"}, {"ref": "kamiloss/tytanic-analysis", "kernel_id": "98836129"}, {"ref": "saicharanbanothu/exercise-arithmetic-and-variables", "kernel_id": "98397481"}, {"ref": "saikumar237/exercise-arithmetic-and-variables", "kernel_id": "98884673"}, {"ref": "ysrcreation/exercise-arithmetic-and-variables", "kernel_id": "98948467"}, {"ref": "mohamedhazeebkt/notebookb0cb3662f0", "kernel_id": "98636078"}, {"ref": "mohammedhasimvm/exercise-arithmetic-and-variables", "kernel_id": "98981046"}, {"ref": "sirajtvk/exercise-arithmetic-and-variables", "kernel_id": "98898019"}, {"ref": "antormojumdar/titanic-machie-learning", "kernel_id": "98618281"}, {"ref": "dharaneedhar2009/exercise-arithmetic-and-variables", "kernel_id": "98734288"}, {"ref": "dharaneedhar2009/titanic-tutorial", "kernel_id": "98733597"}, {"ref": "dhruvmishrano2/notebookb53b832b59", "kernel_id": "98764424"}, {"ref": "akash2184/getting-started-with-titanic", "kernel_id": "98742926"}, {"ref": "jayathibommu/jack-and-rose", "kernel_id": "98724400"}, {"ref": "bapuraogore/notebookd3b33314e3", "kernel_id": "98746119"}, {"ref": "fayassathar/notebook2f6e250b23", "kernel_id": "98719905"}, {"ref": "jeevansingh21/notebookeaa5de377f", "kernel_id": "98705177"}, {"ref": "sagarlangotiya/notebook5c8c5ca664", "kernel_id": "98408849"}, {"ref": "rafsanrakib/titanic-ml-stacking-baseline-m-r-hoque", "kernel_id": "98795891"}, {"ref": "kollolmondol/titanic", "kernel_id": "98803446"}, {"ref": "kazisadi/exercise-arithmetic-and-variables", "kernel_id": "98572977"}, {"ref": "paramsharma101/my-first-ml-project", "kernel_id": "98803083"}, {"ref": "thepqwel/titanic", "kernel_id": "98429849"}, {"ref": "vaishnavinarwariya/notebook575e56c80c", "kernel_id": "98715344"}, {"ref": "logeshmadhan/notebook92ea3fb4f6", "kernel_id": "98708046"}, {"ref": "ramkumar0292/mindmatrix-ai-agent-capstone", "kernel_id": "98443192"}, {"ref": "shaktiranjanpatra/notebook397593722d", "kernel_id": "98717283"}, {"ref": "annwiljose/notebookc7d20575e1", "kernel_id": "98791034"}, {"ref": "hariprasathg2008/hari-1", "kernel_id": "98807183"}, {"ref": "vssriraam/notebook00d4fcfc46", "kernel_id": "98700833"}, {"ref": "vssriraam/notebook177cda3bba", "kernel_id": "98702990"}, {"ref": "deepaky89758/exercise-arithmetic-and-variables", "kernel_id": "98825356"}, {"ref": "msandeepkumar25/notebookdccde927f8", "kernel_id": "98748377"}, {"ref": "afeedahamed/titanic-tutorial", "kernel_id": "98582050"}, {"ref": "bincya/exercise-arithmetic-and-variables", "kernel_id": "98859181"}, {"ref": "hasnain201/exercise-arithmetic-and-variables", "kernel_id": "98643070"}, {"ref": "hirara/titanic-competition-w-tensorflow-decision-e81d6d", "kernel_id": "98826517"}, {"ref": "rekharajesh7006/titanic-tutorial", "kernel_id": "98781294"}, {"ref": "kartikverma123/titanic-tutorial", "kernel_id": "98719772"}, {"ref": "asmilmuhammed/exercise-arithmetic-and-variables", "kernel_id": "98718584"}, {"ref": "mdwaquararif/titanic-adv-model-ipynb", "kernel_id": "98737520"}, {"ref": "mdwaquararif/titanic-tutorial", "kernel_id": "98730004"}, {"ref": "aniket2415/exercise-arithmetic-and-variables", "kernel_id": "98929101"}, {"ref": "aravindreddy7013/exercise-arithmetic-and-variables", "kernel_id": "98755191"}, {"ref": "rashvil/titanic-tutorial", "kernel_id": "98789948"}, {"ref": "esw4rg/titanic-tutorial", "kernel_id": "98956959"}, {"ref": "vendrikk/titanic-analysis", "kernel_id": "98842991"}, {"ref": "aaakshh/exercise-arithmetic-and-variables", "kernel_id": "98846453"}, {"ref": "jintomathewgeorge/exercise-arithmetic-and-variables", "kernel_id": "98843051"}, {"ref": "bittusambuturu/exercise-arithmetic-and-variables", "kernel_id": "98962705"}, {"ref": "pradeepdhanush/exercise-arithmetic-and-variables", "kernel_id": "98981255"}, {"ref": "manikantasanka/notebook39241837a6", "kernel_id": "98898248"}, {"ref": "rohan2kumar/titanic-tutorial", "kernel_id": "98930796"}, {"ref": "raymondwwang/titanic", "kernel_id": "99814087"}, {"ref": "annammmm/ai-star-rekrutacja", "kernel_id": "99994867"}, {"ref": "nhowmithasuresh/notebookc016a954bc", "kernel_id": "99702920"}, {"ref": "afeenaks/1-titanic", "kernel_id": "99878710"}, {"ref": "afeenaks/3-titanic", "kernel_id": "99882140"}, {"ref": "lucyhe2/titanic-prediction-model", "kernel_id": "99875606"}, {"ref": "ajitashwath/titanic-machine-learning", "kernel_id": "99055861"}, {"ref": "supriya21k/titanic-survival-prediction", "kernel_id": "99336254"}, {"ref": "yokesh29/titanic", "kernel_id": "99225140"}, {"ref": "ugurbalci/balci-ugur-titanic", "kernel_id": "99012607"}, {"ref": "udayps2303/titanic-solution-randomforest", "kernel_id": "99018002"}, {"ref": "ziielu/titanic-eda-feature-engineering-training", "kernel_id": "99763330"}, {"ref": "bhaumiksenwal110/beginner-friendly-eda-baseline-ml-titanic", "kernel_id": "99125204"}, {"ref": "mycropyle/titanic", "kernel_id": "99920896"}, {"ref": "yuki0424/titanic-classify", "kernel_id": "99055984"}, {"ref": "syed5129/titanic", "kernel_id": "99739172"}, {"ref": "filipk2/titanic-filip-korycki", "kernel_id": "99997983"}, {"ref": "paawanpawar/titanic-machine-learning-from-disaster", "kernel_id": "99406658"}, {"ref": "ambarmedina/notebook2066410a4e", "kernel_id": "99573140"}, {"ref": "kiruthikas005/titanic-survival-prediction", "kernel_id": "99958224"}, {"ref": "kovalserhiy/unsupervised-learning", "kernel_id": "99446817"}, {"ref": "krishnajaiswal22/titanic-machine-learning-from-disaster-compi", "kernel_id": "99618631"}, {"ref": "romaneyvazov/titanic-v5-public-eda-diff-mod-0-7752", "kernel_id": "99317905"}, {"ref": "hassaan2580/plotting-titanic-dataset", "kernel_id": "99947126"}, {"ref": "syedakhadijarahman/my-first-submission", "kernel_id": "99946841"}, {"ref": "avinashbobabdi/getting-statrted-with-titanic", "kernel_id": "99003632"}, {"ref": "erickns/titanic-solucao-erickns", "kernel_id": "99350741"}, {"ref": "olajideajigo/alienjoe-titanic-tutorial", "kernel_id": "99783698"}, {"ref": "gabrielanbalcarrizo/eda-for-titanic", "kernel_id": "99108099"}, {"ref": "friedelepple/titanic-graph-visualisation", "kernel_id": "99968013"}, {"ref": "armanchoudhary2009/titanic-tutorial", "kernel_id": "99412844"}, {"ref": "hitendrakoushik/titanic-tutorial", "kernel_id": "99831912"}, {"ref": "amanyadav3671/exercise-arithmetic-and-variables", "kernel_id": "99359156"}, {"ref": "jagdish2325/exercise-arithmetic-and-variables", "kernel_id": "99146606"}, {"ref": "ananthakumarpavithra/titanic-baseline-comet", "kernel_id": "99006084"}, {"ref": "varshiniammanabrolu/titanic-tutorial", "kernel_id": "99290013"}, {"ref": "bala075/exercise-arithmetic-and-variables", "kernel_id": "99222804"}, {"ref": "hithamohana/day-3", "kernel_id": "99607203"}, {"ref": "hithamohana/day-4", "kernel_id": "99790080"}, {"ref": "ddhanushprabhakar/exercise-arithmetic-and-variables", "kernel_id": "99136949"}, {"ref": "rahulpprajapati/exercise-arithmetic-and-variables", "kernel_id": "99600305"}, {"ref": "gwthmbhrgv/exercise-arithmetic-and-variables", "kernel_id": "99722654"}, {"ref": "mohityadav7688/notebookf7d340f57b", "kernel_id": "99024056"}, {"ref": "feminasiby/exercise-arithmetic-and-variables", "kernel_id": "99467081"}, {"ref": "tammalakshminagasai/exercise-arithmetic-and-variables", "kernel_id": "99658729"}, {"ref": "koushikdharshan/titanic-survival-prediction-eda-ml", "kernel_id": "99293589"}, {"ref": "aman4545/exercise-arithmetic-and-variables", "kernel_id": "99951222"}, {"ref": "dev427sri/titanic-survival-prediction-dev", "kernel_id": "99948078"}, {"ref": "pravin140/day-2", "kernel_id": "99294281"}, {"ref": "harishwarang/titanic-tutorial", "kernel_id": "99004946"}, {"ref": "rajukg/exercise-arithmetic-and-variables", "kernel_id": "99203525"}, {"ref": "jaymhetre/exercise-arithmetic-and-variables", "kernel_id": "99400504"}, {"ref": "mahammadsuhail80/notebook965781d409", "kernel_id": "99821072"}, {"ref": "mohanmeshram/exercise-syntax-variables", "kernel_id": "99209016"}, {"ref": "saitejabodda/notebook8dcde3860a", "kernel_id": "99718123"}, {"ref": "simranjeetkaur08/exercise-arithmetic-and-variables", "kernel_id": "99867411"}, {"ref": "bhosale2304/titanic-tutorial", "kernel_id": "99667640"}, {"ref": "dheerajkatariya/notebook2c640834ff", "kernel_id": "99731800"}, {"ref": "kavyanshijain/notebook046981c34c", "kernel_id": "99628828"}, {"ref": "kavyanshijain/titanic-tutorial-33a516", "kernel_id": "99631567"}, {"ref": "kurichetisuresh/notebook4b63f53ca1", "kernel_id": "99592443"}, {"ref": "ricwins/notebooka142940414", "kernel_id": "99676072"}, {"ref": "bharatmaru/titanic-tutorial-cop", "kernel_id": "99719503"}, {"ref": "gauravprafulrathod/exercise-arithmetic-and-variables", "kernel_id": "99364602"}, {"ref": "reallyciaran/titanic-getting-started", "kernel_id": "99899951"}, {"ref": "cliveluisaa/clivetitanic-v1", "kernel_id": "99515647"}, {"ref": "rameshkumarkandula13/notebook2bb938cafd", "kernel_id": "99653304"}, {"ref": "baiyugangufei/notebook5d5bcaf24c", "kernel_id": "99847120"}, {"ref": "sitrakamatthew/titanic-logistic-regression-centralemrs", "kernel_id": "100070376"}, {"ref": "plipustelaumbanua/titanic-disaster-survival-prediction", "kernel_id": "100140534"}, {"ref": "evanoleary/alexandria-competition-titanic-208120", "kernel_id": "100459675"}, {"ref": "morhange/titanic", "kernel_id": "100107634"}, {"ref": "tasnimmahfuznafis/titanic-dataset-1327", "kernel_id": "100643103"}, {"ref": "somaiazabihi/titanic", "kernel_id": "100738954"}, {"ref": "rezaabd122/titanic-1st", "kernel_id": "100642450"}, {"ref": "rezaabd122/titanic-2nd", "kernel_id": "100647139"}, {"ref": "afifaf20/titanic-machine-learning-from-disaster", "kernel_id": "100000182"}, {"ref": "arnabdasjoy/1308-titanic", "kernel_id": "100645810"}, {"ref": "ronymajumder/titanic-1325", "kernel_id": "100624289"}, {"ref": "leeyeonji31/202403338titanic", "kernel_id": "100118500"}, {"ref": "bunyaphonai/titanicc", "kernel_id": "100310081"}, {"ref": "taein123/titanic", "kernel_id": "100109712"}, {"ref": "taein123/upgrade-titanic", "kernel_id": "100120053"}, {"ref": "amitroy13/firstkaggle", "kernel_id": "100621362"}, {"ref": "suradkarjavi/notebookaff580cf1f", "kernel_id": "100626466"}, {"ref": "champ254/titanic-survival-analysis", "kernel_id": "100213202"}, {"ref": "bilal314/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "100689548"}, {"ref": "ummekulsumtumpa/1307-ml-lab", "kernel_id": "100625777"}, {"ref": "rafid13iit/getting-started-with-titanic", "kernel_id": "100624841"}, {"ref": "eftekharmahmudefty/notebookec61f7687a", "kernel_id": "100637615"}, {"ref": "adoniskaggleid/spearman", "kernel_id": "100876372"}, {"ref": "mostafizurrahaman2/titanic", "kernel_id": "100621482"}, {"ref": "omarzahir20/titanic-challenge-solution", "kernel_id": "100941986"}, {"ref": "devmondal/titanic-survival-prediction-simple-ml-approach", "kernel_id": "100505914"}, {"ref": "mehmetaydoan/titanic", "kernel_id": "100923993"}, {"ref": "trawat1/titanic", "kernel_id": "100899378"}, {"ref": "nasiruddin1310/getting-started-with-titanic", "kernel_id": "100629963"}, {"ref": "aditykhisa123/1334-assignment-titanic", "kernel_id": "100628883"}, {"ref": "tanvirhasanabir/notebookea2682ca8a", "kernel_id": "100622864"}, {"ref": "shivamsrivastava25/test-program", "kernel_id": "100519358"}, {"ref": "nusratjahanlia/notebookf9b95b4b7a", "kernel_id": "100623048"}, {"ref": "seonwoo0418/titanic", "kernel_id": "100108082"}, {"ref": "verma0507/titanic-prediction-cat-boost", "kernel_id": "100731865"}, {"ref": "faria1305/1305-faria", "kernel_id": "100647868"}, {"ref": "dfhskjf/titanic", "kernel_id": "100108058"}, {"ref": "shifatjahanshifa1301/ml-with-titanic-dataset", "kernel_id": "100624332"}, {"ref": "shifatjahanshifa1301/titanic-1301", "kernel_id": "100629087"}, {"ref": "aadeshupadhaya/titanicanalysis", "kernel_id": "100013817"}, {"ref": "imhasib01/notebook5b83bfae96", "kernel_id": "100641621"}, {"ref": "rahult25/titanic-survival-prediction-using-xgboost", "kernel_id": "100012905"}, {"ref": "rahult25/titanic-survival-prediction-xgboost-pipeline", "kernel_id": "100865819"}, {"ref": "nahidasultana01/1318-ml-competition-work", "kernel_id": "100648027"}, {"ref": "tanjumatabassum/machine-learning-titanic", "kernel_id": "100642129"}, {"ref": "parkkayun/titanic", "kernel_id": "100108496"}, {"ref": "hjg0126/bigdata-11week", "kernel_id": "100107482"}, {"ref": "ejeeee/titanic", "kernel_id": "100111295"}, {"ref": "kimchaezero/notebook18e5057e71", "kernel_id": "100115319"}, {"ref": "seungjaeleeee/notebook93a2aab284", "kernel_id": "100107960"}, {"ref": "seungjaeleeee/notebook34ee850a39", "kernel_id": "100355024"}, {"ref": "rlachdms/titanic-kaggle", "kernel_id": "100117525"}, {"ref": "sonchaehoon/titanic-11", "kernel_id": "100107881"}, {"ref": "kimsuhyeon1/notebookb2529995b7", "kernel_id": "100113460"}, {"ref": "seoyunchoi2/notebookcbc4013966", "kernel_id": "100107944"}, {"ref": "minuuuuty/notebook9e40dcaca1", "kernel_id": "100110458"}, {"ref": "thong0609/titanic", "kernel_id": "100407671"}, {"ref": "dfsdfsadf/notebooka543be532e", "kernel_id": "100116767"}, {"ref": "brandname264/dietanic1", "kernel_id": "100765440"}, {"ref": "laurelhann/exercise-arithmetic-and-variables", "kernel_id": "100579208"}, {"ref": "adityakapse20/titanic-submisson", "kernel_id": "100207801"}, {"ref": "eldshell/titanic", "kernel_id": "100472923"}, {"ref": "yangonebin/py-t1-1-iqr-expected-questions", "kernel_id": "100604374"}, {"ref": "ximenadelgadoa/guia-9-titanic", "kernel_id": "100884466"}, {"ref": "aramelheni/titanic-competition", "kernel_id": "100161686"}, {"ref": "dipesh4000/titanic-by-souvik", "kernel_id": "100600585"}, {"ref": "vvonnso/11-202403182", "kernel_id": "100107691"}, {"ref": "christelgonsalves/titanic-capstone-random-forest", "kernel_id": "100468403"}, {"ref": "souvikdbiswas/titanic-by-souvik", "kernel_id": "100163614"}, {"ref": "yuvikachaudhary06/titanickagglecompetition", "kernel_id": "100774176"}, {"ref": "satyamyadav1/exercise-arithmetic-and-variables", "kernel_id": "100049742"}, {"ref": "minsungwon/titanic", "kernel_id": "100107904"}, {"ref": "rishikeshsinnarkar/exercise-arithmetic-and-variables", "kernel_id": "100384685"}, {"ref": "friedelepple/titanic-seeing-the-ship-for-the-trees", "kernel_id": "100437813"}, {"ref": "mstfareyaazamkame/getting-started-with-titanic", "kernel_id": "100623014"}, {"ref": "minqpyo/titanic", "kernel_id": "100107641"}, {"ref": "babyquantum/a-simple-ensemble-method-for-titanic", "kernel_id": "100938581"}, {"ref": "bidulgi9999/version-2", "kernel_id": "100983794"}, {"ref": "haneulskye/titanic", "kernel_id": "100109738"}, {"ref": "jeongyoon1011/titanic", "kernel_id": "100107631"}, {"ref": "dvdec64/titanic-v2", "kernel_id": "100122856"}, {"ref": "ahyeon0115/titanic", "kernel_id": "100117221"}, {"ref": "kripakafle/notebookb2dca66957", "kernel_id": "100871781"}, {"ref": "dhanush6188/titanic-tutorial", "kernel_id": "100387620"}, {"ref": "dhanush6188/exercise-arithmetic-and-variables", "kernel_id": "100386445"}, {"ref": "dhanush6188/notebookf05283c792", "kernel_id": "100325952"}, {"ref": "thevivekai/getting-started-with-titanic", "kernel_id": "100761727"}, {"ref": "losingduck/notebook5f753f9986", "kernel_id": "100086793"}, {"ref": "mostafaabofayad/exercise-arithmetic-and-variables", "kernel_id": "100337923"}, {"ref": "krishankumar01x/titanic-tutorial", "kernel_id": "100585724"}, {"ref": "sarikondamanoharraju/notebookfb5d735e95", "kernel_id": "100459157"}, {"ref": "banavathmukeshnayak/exercise-arithmetic-and-variables", "kernel_id": "100507461"}, {"ref": "jayashreepasupathy/exercise-arithmetic-and-variables", "kernel_id": "100464029"}, {"ref": "kartikeymvx/titanic-kaggle-notebook", "kernel_id": "100106448"}, {"ref": "xivodigitalllp/titanic-tutorial", "kernel_id": "100181056"}, {"ref": "saniyakhan123/titanic-advanced-feature-engineering-tutorial", "kernel_id": "100123133"}, {"ref": "achalreneesh/notebook906f8b9dd6", "kernel_id": "100519657"}, {"ref": "rahulmuneshwarbhoyar/titanic-tutorial", "kernel_id": "100769508"}, {"ref": "mallasiddhu/titanic-survival-prediction-complete-ml-workflow", "kernel_id": "100291712"}, {"ref": "pritijodh/exercise-arithmetic-and-variables", "kernel_id": "100252897"}, {"ref": "vaishnavi762/titanic-tutorial", "kernel_id": "100277457"}, {"ref": "shakibulhosen/exercise-arithmetic-and-variables", "kernel_id": "100661575"}, {"ref": "anishkumargond/exercise-arithmetic-and-variables", "kernel_id": "100478099"}, {"ref": "girivelangirivelan/exercise-arithmetic-and-variables", "kernel_id": "100493888"}, {"ref": "shchurartem/titanic-solution", "kernel_id": "100304384"}, {"ref": "viggucj6/notebook3dd3581f83", "kernel_id": "100637820"}, {"ref": "liamarden/titanic-top-1", "kernel_id": "100377333"}, {"ref": "mohammednoorulhaqh/exercise-arithmetic-and-variables", "kernel_id": "100407550"}, {"ref": "vidhushrivastava/titanic-submission", "kernel_id": "100560086"}, {"ref": "swadhinpal123/1302-pals-nodebook", "kernel_id": "100619625"}, {"ref": "eftiareahmedrimon/notebook7d8578d26a", "kernel_id": "100675515"}, {"ref": "sanjanakarimritika/1322-getting-start-with-titanic", "kernel_id": "100647307"}, {"ref": "sbzhuzhu111/titanic-prediction", "kernel_id": "101137861"}, {"ref": "jsjhoubo/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "101105296"}, {"ref": "amitgold/sf-analysis", "kernel_id": "101892489"}, {"ref": "yasunorim/titanic-japanese-optuna-test", "kernel_id": "101867183"}, {"ref": "yasunorim/a-journey-to-0-789-with-feature-engine-optuna", "kernel_id": "101686797"}, {"ref": "yusufbender/titanic-feature-engineering-randomforest", "kernel_id": "101319253"}, {"ref": "mdsaminulamin/titanic-total-testing", "kernel_id": "101942807"}, {"ref": "neelabhsinha29/titanic-challenge", "kernel_id": "101024105"}, {"ref": "aayushiweb/titanic-pose", "kernel_id": "101304619"}, {"ref": "hamzanaobahar/notebook22b5a2f829", "kernel_id": "101632137"}, {"ref": "hamzanaobahar/a-journey-through-titanic", "kernel_id": "101624470"}, {"ref": "hamzanaobahar/studytitanic", "kernel_id": "101654578"}, {"ref": "sudhanshu3112/outlier-cleanup-z-score-iqr", "kernel_id": "101664428"}, {"ref": "mr64891901/01-titanic-basiceda", "kernel_id": "101846621"}, {"ref": "mr64891901/01-titanic-overview", "kernel_id": "101671959"}, {"ref": "mosammasultanatrina/1313-titanic", "kernel_id": "101139610"}, {"ref": "verdenkaa/titanic-0-79-verdenkaa-s-solution", "kernel_id": "101299446"}, {"ref": "bertojdoyvan/titenic", "kernel_id": "101210928"}, {"ref": "abnero/titanic-survivors-mini-projeto", "kernel_id": "101803885"}, {"ref": "jeong0junojunojunho/titanic", "kernel_id": "101658171"}, {"ref": "akshay229/ml-lab-7", "kernel_id": "101433287"}, {"ref": "renka1/19-11-25-renka-ai-5", "kernel_id": "101490298"}, {"ref": "pradeepdharma/titanic-survival-prediction", "kernel_id": "101706790"}, {"ref": "rahult25/predicting-titanic-passenger-survival-using-random", "kernel_id": "101768035"}, {"ref": "hyunbean/251120-bdm", "kernel_id": "101733562"}, {"ref": "leeheeyun/titanic11", "kernel_id": "101148743"}, {"ref": "mohsinijaz1782005/build-an-ai-data-analyst-with-llama-3-langchain", "kernel_id": "101760929"}, {"ref": "reesefinch/titanic", "kernel_id": "101866949"}, {"ref": "brandname264/titanic-data-science-solutions", "kernel_id": "101924429"}, {"ref": "adrikangk1w/titanic", "kernel_id": "101449214"}, {"ref": "arafatnihan/titanic-eda-model-training", "kernel_id": "101902469"}, {"ref": "burakemrecaprak/boosting-models-for-titanic-survival", "kernel_id": "101624268"}, {"ref": "fevziredzheb/titanic-disaster-survival-factors-analysis", "kernel_id": "101497901"}, {"ref": "gamzebabayigit/titanicdeeplearning", "kernel_id": "101559724"}, {"ref": "isbaha/getting-started-with-titanic-prediction", "kernel_id": "101660219"}, {"ref": "bychan1/notebooked84f797fd", "kernel_id": "101716653"}, {"ref": "yifeiwu033/titanic-feature-engineering-ensemble", "kernel_id": "101538668"}, {"ref": "tmdals67/titanic-1", "kernel_id": "101690532"}, {"ref": "shubhamarvinddhoke/exercise-arithmetic-and-variables", "kernel_id": "101232431"}, {"ref": "shinnyig/notebooka30ce0669f", "kernel_id": "101584994"}, {"ref": "sonjoychandracoach/notebooka651bbda5b", "kernel_id": "101031158"}, {"ref": "sonjoychandracoach/notebook522e3bfd0b", "kernel_id": "101636784"}, {"ref": "agkanishk/titanic-tutorial", "kernel_id": "101308997"}, {"ref": "musthofarauf/titanic-first-attempt", "kernel_id": "101395193"}, {"ref": "gssreshta/titanic-data-science-eda-with-meme-solution", "kernel_id": "101693558"}, {"ref": "manoharreddymanu/exercise-arithmetic-and-variables", "kernel_id": "101507661"}, {"ref": "durgaprasadraj/exercise-arithmetic-and-variables", "kernel_id": "101902857"}, {"ref": "u5efu1/titanic", "kernel_id": "101267484"}, {"ref": "kerribump/titanic-competition", "kernel_id": "101363877"}, {"ref": "fasilrahman14feb/exercise-arithmetic-and-variables", "kernel_id": "101628360"}, {"ref": "peterapeh/exercise-arithmetic-and-variables", "kernel_id": "101743126"}, {"ref": "busratjahansabiha/notebook83c721cb1b", "kernel_id": "101157724"}, {"ref": "santoshsougrakpam/titanic-eda-featureengineering-logistic-regression", "kernel_id": "101700178"}, {"ref": "fancyfensi/getting-started-with-titanic", "kernel_id": "101253180"}, {"ref": "n97141506/titanic-notebook-0-87", "kernel_id": "101881159"}, {"ref": "n97141506/titanic-notebook-0-81", "kernel_id": "101884105"}, {"ref": "nayoonk1123/notebook7739e21c2a", "kernel_id": "101484931"}, {"ref": "nnnnobody/notebook68064eb109", "kernel_id": "101653604"}, {"ref": "jayjoshi37/exercise-arithmetic-and-variables", "kernel_id": "101668105"}, {"ref": "souhailelhamdany/titanic-try", "kernel_id": "101704378"}, {"ref": "humairah2/humairah", "kernel_id": "101737190"}, {"ref": "areliarisai/3-en-raya", "kernel_id": "101821500"}, {"ref": "orazmuhammet2009/exercise-arithmetic-and-variables", "kernel_id": "101899946"}, {"ref": "jamiejcho/oz-lab-titanic-tutorial", "kernel_id": "101969025"}, {"ref": "cganxs/titanic-competition", "kernel_id": "102745880"}, {"ref": "mohadesehemamipour/titanic-xgboost-randomforest-logistic-meta", "kernel_id": "102994931"}, {"ref": "changyuren/titanic20251110", "kernel_id": "102262693"}, {"ref": "simonliang/competition-t", "kernel_id": "102612347"}, {"ref": "hamzabinbutt/titanic", "kernel_id": "102195877"}, {"ref": "hamzabinbutt/probability-analysis-and-machine-learning-for-pred", "kernel_id": "102713845"}, {"ref": "nikitaniktech/an-interactive-data-science-tutorial", "kernel_id": "102853220"}, {"ref": "mminbaol/titanic-project-with-keras-and-deep-learning", "kernel_id": "102854754"}, {"ref": "ankushnarwade/xgboost-optimized-prediction-0-83", "kernel_id": "102703307"}, {"ref": "timkhsm/titanic-notebook", "kernel_id": "102791980"}, {"ref": "praveennbhat/titanic-version-1", "kernel_id": "102967832"}, {"ref": "munenyashaishehove/khan-tutorial-titanicproject1", "kernel_id": "102085234"}, {"ref": "muhammadharoonali/titanic-prediction-model", "kernel_id": "102499712"}, {"ref": "dungtran31/introduction-to-decision-trees-titanic-dataset", "kernel_id": "102220412"}, {"ref": "hassan486/titanic", "kernel_id": "102128579"}, {"ref": "jackagbegbo/getting-started-with-titanic", "kernel_id": "102303519"}, {"ref": "zzhilong/python", "kernel_id": "102080825"}, {"ref": "abhangkolte/titanic-randomforest", "kernel_id": "102061397"}, {"ref": "fenghaohao/titanic", "kernel_id": "102400931"}, {"ref": "srirahayuayu/titanic-competition", "kernel_id": "102855266"}, {"ref": "meermoomin/titanic-problem", "kernel_id": "102719968"}, {"ref": "kellylliu/notebook84fec0ac4f", "kernel_id": "102478760"}, {"ref": "rajatbawane/notebookc996d2b11c", "kernel_id": "102825646"}, {"ref": "faruktekin/titanic-predicting-survivors-xgboost-optuna", "kernel_id": "102332957"}, {"ref": "cacelx/titanic-baseline-for-beginners-lgbm", "kernel_id": "102007766"}, {"ref": "akshay229/ml-lab-8", "kernel_id": "102548242"}, {"ref": "salsabillarmd/titanic-kaggle-for-midterm", "kernel_id": "102613522"}, {"ref": "olaflundstrom/notebook5c3e22cf67", "kernel_id": "102972882"}, {"ref": "dinethrandula/titanic-cnn", "kernel_id": "102570846"}, {"ref": "arbbarua/titanic-survival-prediction-using-machine-learning", "kernel_id": "102091392"}, {"ref": "hngphanasd/notebook367911a471", "kernel_id": "102547867"}, {"ref": "cesarabribeiro/titanic-tutorial", "kernel_id": "102992067"}, {"ref": "filipesucupira/titanic-tutorial", "kernel_id": "102617960"}, {"ref": "bismahali/exercise-arithmetic-and-variables", "kernel_id": "102621016"}, {"ref": "brahimsefatamtrk/makine-dev-5", "kernel_id": "102728677"}, {"ref": "kallurivenkatesh4416/kaggle-titanic-from-raw-data-to-submission", "kernel_id": "102110429"}, {"ref": "somchainaja/titanic-random-forest-84-score-0-77272", "kernel_id": "102239392"}, {"ref": "mr1rameez/titanic-survival-prediction-full-ml-pipeline-wit", "kernel_id": "102688232"}, {"ref": "banhca02/xstk-titanic", "kernel_id": "102572360"}, {"ref": "zeeshanahmadyar/survival-prediction-on-the-titanic-dataset", "kernel_id": "102805502"}, {"ref": "sparklyunicorn564234/titanic-machine-learning-from-disaster", "kernel_id": "102681725"}, {"ref": "vinaychavan6364/titanic-model", "kernel_id": "102964816"}, {"ref": "efetosun/titanic-dataset", "kernel_id": "102851287"}, {"ref": "l1sdev/titanic", "kernel_id": "102045306"}, {"ref": "doganatmaca/fillingblankdataml-73", "kernel_id": "102374890"}, {"ref": "krystalcondie/exercise-arithmetic-and-variables", "kernel_id": "102852074"}, {"ref": "harshigupta2006/kaggle-titanic-competition", "kernel_id": "102999321"}, {"ref": "abdullahyildirim16/titanic-notebook", "kernel_id": "102557308"}, {"ref": "shivanshbhargav/titanic", "kernel_id": "102426015"}, {"ref": "ximenadelgadoa/guia-10-titanic", "kernel_id": "102306659"}, {"ref": "sebastianalcantar/examen-3-titanic", "kernel_id": "102172248"}, {"ref": "yehyaalkuwari/final-project", "kernel_id": "102361270"}, {"ref": "alessandragenocchio/titanic-regressaologistica-final", "kernel_id": "102011499"}, {"ref": "samwasee/cnn-vs-qnn", "kernel_id": "102852195"}, {"ref": "ashacherian/getting-started-with-titanic", "kernel_id": "102447588"}, {"ref": "abdulmannaan12/titanic-premium-eda-ml-benchmark", "kernel_id": "102840621"}, {"ref": "kaswa12/kaggle-assignmnet-kaswa", "kernel_id": "102675063"}, {"ref": "sonumahata/titanic-contest", "kernel_id": "102688912"}, {"ref": "alishakhan4/assignment-no-3", "kernel_id": "102838754"}, {"ref": "ahmadyousef2025/final-project-r1-0", "kernel_id": "102711259"}, {"ref": "hasrhxml/titanic-dataset", "kernel_id": "102619018"}, {"ref": "adiladil1275/images-consultant-agent", "kernel_id": "102916013"}, {"ref": "mohammaddanishejaz/notebookfb9ab23e6b", "kernel_id": "102955473"}, {"ref": "saniyamankad/top-20-eda-visualizations-on-titanic", "kernel_id": "102690144"}, {"ref": "malleenkhan/first-ml-project-titanic-competition", "kernel_id": "102467445"}, {"ref": "pvsubramanyam/exercise-arithmetic-and-variables", "kernel_id": "102322883"}, {"ref": "vaishnavi762/exercise-arithmetic-and-variables", "kernel_id": "102225593"}, {"ref": "angadpodder/titanic-tutorial", "kernel_id": "102725174"}, {"ref": "peterapeh/titanic-survival-prediction-random-forest-83-2", "kernel_id": "102824300"}, {"ref": "kazeyukii/titanic", "kernel_id": "102207659"}, {"ref": "magnitopic/mastering-pandas-groupby-using-titanic-part-1-2", "kernel_id": "102582498"}, {"ref": "amantlemakati/amantle-project-titanicproject1", "kernel_id": "102085245"}, {"ref": "tvmilitary/titanic-fantasy-x-6-cell-starter-baseline", "kernel_id": "102780999"}, {"ref": "hz52lars/train", "kernel_id": "102650314"}, {"ref": "gpreda/titanic-your-first-machine-learning-model", "kernel_id": "103075084"}, {"ref": "gunjan17/checkingwithann", "kernel_id": "103300353"}, {"ref": "dafniskrasniqi/decision-trees-random-forest-for-beginners", "kernel_id": "103063285"}, {"ref": "tolgakelebenkli/getting-started-auuu", "kernel_id": "103143957"}, {"ref": "hinepo/tool-routing-llm-pipeline", "kernel_id": "103284831"}, {"ref": "hinepo/graph-orchestrated-tool-routing-pipeline", "kernel_id": "103306637"}, {"ref": "volgat/earcp-architecture-demo", "kernel_id": "103234671"}, {"ref": "dynamo14324/kaggle-grandmaster-roadmap", "kernel_id": "103017933"}, {"ref": "rdxgaming/hit-thummarbooktitanic", "kernel_id": "103017722"}, {"ref": "vijji46/titanic12", "kernel_id": "103951136"}, {"ref": "zachariads/competition-titanic-2026-07-03-zs", "kernel_id": "103101710"}, {"ref": "chetansahney/titanic-notebook-1", "kernel_id": "103735283"}, {"ref": "mdinzemamkhan/titanic-ml-model", "kernel_id": "103843745"}, {"ref": "mdinzemamkhan/titanic-survival-eda", "kernel_id": "103775008"}, {"ref": "dspos3idon/titanic", "kernel_id": "103397217"}, {"ref": "charangopisetty/titanic-ml-by-sai-charan", "kernel_id": "103414863"}, {"ref": "nirumma/titanic-machine-learning-from-disaster", "kernel_id": "103828669"}, {"ref": "gevorkalekseevich/14-mirzoyan-mik22", "kernel_id": "103313499"}, {"ref": "rohan1103/titanic-clt", "kernel_id": "103026198"}, {"ref": "rohan1103/titanic-single-sample-t-test", "kernel_id": "103335773"}, {"ref": "rohan1103/titanic-2-sample-t-test", "kernel_id": "103338234"}, {"ref": "leticiapaesano/titanic-machine-learning", "kernel_id": "103871338"}, {"ref": "chillajagadesh/titanic-machine-learning-project", "kernel_id": "103433935"}, {"ref": "dylanparrilla/getting-started-with-titanic", "kernel_id": "103080512"}, {"ref": "munenyashaishehove/khan2-titanic", "kernel_id": "103378856"}, {"ref": "kaonasty/notebooke26cde11f6", "kernel_id": "103138559"}, {"ref": "smnahidhasannascenia/svm-on-titanic-dataset", "kernel_id": "103437636"}, {"ref": "jaizemiller/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "103923753"}, {"ref": "jasonkuo82/jason-first-titanic-draft", "kernel_id": "103503517"}, {"ref": "awaispasha/titanic-first-submission-logistic-regression", "kernel_id": "103816462"}, {"ref": "sarimahsan/titanic-statistical-eda", "kernel_id": "103738326"}, {"ref": "sarimahsan/ensemble-mehtods-battle", "kernel_id": "103866228"}, {"ref": "adamserghini2002/predicting-titanic-survivors-eda-feature-enginee", "kernel_id": "103867855"}, {"ref": "wilsonsioukanchow/titanic-refresh", "kernel_id": "103161900"}, {"ref": "revatisn/titanic-xgb", "kernel_id": "103257507"}, {"ref": "rasulbekqadamboyev/titanic-notebook-2", "kernel_id": "103681853"}, {"ref": "rasulbekqadamboyev/titanic-hard-work-all-metods", "kernel_id": "103533754"}, {"ref": "rasulbekqadamboyev/titanic-notebook", "kernel_id": "103394409"}, {"ref": "vrushalmore/promise-me-you-ll-survive-rose", "kernel_id": "103255661"}, {"ref": "perastra/titanic-logisticregression", "kernel_id": "103538617"}, {"ref": "sarigajosephfredy/titanic", "kernel_id": "103292196"}, {"ref": "n1k0l0z/titaniccompetition", "kernel_id": "103655682"}, {"ref": "miclenzy/tads-titanic-predictions", "kernel_id": "103051881"}, {"ref": "umairkhalil2002/titanic", "kernel_id": "103863571"}, {"ref": "aryanagrawal19/logistic-regression", "kernel_id": "103771604"}, {"ref": "sonalshinde123/survival-analysis-on-the-titanic", "kernel_id": "103292557"}, {"ref": "kerastensors/missing-data-handling", "kernel_id": "103262085"}, {"ref": "gonzaloaguero/titanic-machine-learning-from-disaster", "kernel_id": "103764434"}, {"ref": "mtarkmeng/beginner-friendly-titanic-solution-rf-feature-e", "kernel_id": "103373562"}, {"ref": "themuazashraf/disaster-led-machine-learning", "kernel_id": "103340232"}, {"ref": "ddivyadharshinirm/titanic-eda-beginner-level", "kernel_id": "103444490"}, {"ref": "claraabby/titanic-prediction-project-our-first-machine-lear", "kernel_id": "103395433"}, {"ref": "ilsukaradag/titanic-challenge-with-random-forest-from-scratch", "kernel_id": "103164364"}, {"ref": "xcipherx/titanic-survival-model", "kernel_id": "103714581"}, {"ref": "olaflundstrom/titanic-survival-prediction-arch-01", "kernel_id": "103747758"}, {"ref": "mohamedhedi11/firstkagglecomp", "kernel_id": "103171578"}, {"ref": "laollaol/getting-started-with-titanic", "kernel_id": "103838232"}, {"ref": "palaktrivedi/titanic-competition", "kernel_id": "103249565"}, {"ref": "ieltsmater/randomforest-logisticregression", "kernel_id": "103721524"}, {"ref": "adrianaarizaga/titanic-ml", "kernel_id": "103685218"}, {"ref": "starksource/titanic-eda-survival-insights", "kernel_id": "103766918"}, {"ref": "endol3/titanic-1", "kernel_id": "103745901"}, {"ref": "osamaahmad67/titanic-survival-prediction", "kernel_id": "103391644"}, {"ref": "muhammednasrelshazly/notebook39c4f2a093", "kernel_id": "103765886"}, {"ref": "aliiihussain/exercise-arithmetic-and-variables", "kernel_id": "103684868"}, {"ref": "ary4n1/titanic-nb1", "kernel_id": "103770185"}, {"ref": "hoseinooovalizadeh/advanced-preprocessing-titanik", "kernel_id": "103974539"}, {"ref": "thetsl/notebook343d329cd8-4-1", "kernel_id": "103383117"}, {"ref": "ray0801/titanic-xgb", "kernel_id": "103051736"}, {"ref": "mertalitopal/dev-6-mert-ali-topal", "kernel_id": "103307767"}, {"ref": "mertalitopal/dev-5-mert-ali-topal", "kernel_id": "103304025"}, {"ref": "sohitsingh08/titanic-ml", "kernel_id": "103070302"}, {"ref": "chandansaw/test-run", "kernel_id": "103975243"}, {"ref": "mrranajitmalakar/exercise-arithmetic-and-variables", "kernel_id": "103885319"}, {"ref": "hamsahali/notebook5636eea461", "kernel_id": "103558682"}, {"ref": "hamsahali/notebook66011364fb", "kernel_id": "103846596"}, {"ref": "tehreemfatima0/titanic-knn-lab-10", "kernel_id": "103879678"}, {"ref": "ramaalabhath/titanic-machine", "kernel_id": "103949661"}, {"ref": "renuyadav0901/notebook05e4b07aaf", "kernel_id": "103965371"}, {"ref": "salehalqattash/titanic-saleh-machine-learning", "kernel_id": "103952331"}, {"ref": "ammarmwaziny/titanec-ammar", "kernel_id": "103467213"}, {"ref": "akhileshuday/exercise-arithmetic-and-variables", "kernel_id": "103551746"}, {"ref": "mahendrajogi/titanic-tutorial", "kernel_id": "103234303"}, {"ref": "tefandonos/capstone-project-data-preprocessing-agent", "kernel_id": "103101698"}, {"ref": "elihat/titanic-machine-learning-competition-final", "kernel_id": "103804260"}, {"ref": "surajbhansingh19/exercise-arithmetic-and-variables", "kernel_id": "103866925"}, {"ref": "shubhamgundu/shubsss", "kernel_id": "103089893"}, {"ref": "echochen0518/titanic-tutorial-translate", "kernel_id": "103081017"}, {"ref": "pratyushmishradev/titanic-quick-submission-notebook", "kernel_id": "103076886"}, {"ref": "zauriz/titaniccorrecciones", "kernel_id": "103943546"}, {"ref": "orelebileotukile/ot-titanic", "kernel_id": "103534862"}, {"ref": "luca5ismaeleckert/titanic-competition", "kernel_id": "103791683"}, {"ref": "yunnahua/titanic-deeplearning", "kernel_id": "103145108"}, {"ref": "magnitopic/mastering-pandas-groupby-using-titanic-part-2-2", "kernel_id": "103314207"}, {"ref": "baharpourvosoughi/titanic-survival-prediction", "kernel_id": "103571573"}, {"ref": "anbowu/titanic-survival-prediction-portfolio", "kernel_id": "103038197"}, {"ref": "khushwantsinghdk/notebookc7b511ceb5", "kernel_id": "103893463"}, {"ref": "eduardodonairefilho/enterprise-data-quality-governance", "kernel_id": "103014762"}, {"ref": "eduardodonairefilho/boosting-benchmark-lgbm-vs-xgb-vs-catboost", "kernel_id": "103017762"}, {"ref": "lriclriel/llric-s-titanic", "kernel_id": "103222132"}, {"ref": "musisiq/titanic-mustafa", "kernel_id": "103889108"}, {"ref": "dhdjbzbs/notebookf73fad0955", "kernel_id": "103308366"}, {"ref": "arnvsingh/titanic-initial-data-exploration-feature-review", "kernel_id": "103422652"}, {"ref": "evelynchile/notebookbda979e9a2", "kernel_id": "103453349"}, {"ref": "govindsingh9447/titanic-machine-learning-from-disaster", "kernel_id": "103573154"}, {"ref": "cmzw13/titanic-prediction-dl-vs-ml", "kernel_id": "103536114"}, {"ref": "anujsaha0123456789/titanic-survival-prediction-beginner-friendly", "kernel_id": "103848228"}, {"ref": "ibrhm24/titanic-random-forest", "kernel_id": "103970760"}, {"ref": "anantdevpandey1/titanic-survival", "kernel_id": "103895302"}, {"ref": "dave2003/titanic-notebook", "kernel_id": "103734316"}, {"ref": "yashrohan/titanic-tutorial-1", "kernel_id": "103818668"}, {"ref": "stis36/my-titanic", "kernel_id": "103864070"}, {"ref": "nisarahmedrana/exploratory-data-analysis", "kernel_id": "104401474"}, {"ref": "garakara/titanic-analysis", "kernel_id": "104276394"}, {"ref": "drmurataltun/ecs-yz-titanic-al-mas", "kernel_id": "104473283"}, {"ref": "drmurataltun/ecs-vb-titanic", "kernel_id": "104799034"}, {"ref": "iraseidman/end-of-unit-project-titanic-com-starter-code-ml", "kernel_id": "104481990"}, {"ref": "iraseidman/end-of-unit-project-titanic-com-starter-code", "kernel_id": "104482924"}, {"ref": "julianraic/titanic-model-draft-1", "kernel_id": "104434934"}, {"ref": "imenselmi/titanic-survival-predictions-beginner", "kernel_id": "104471266"}, {"ref": "tqlongtrnquclong/notebook206e39e712", "kernel_id": "104929410"}, {"ref": "itsyoursumit/titanic-comp-submission", "kernel_id": "104097478"}, {"ref": "bogdandzeytov/14-britvin-mik22", "kernel_id": "104635184"}, {"ref": "bogdandzeytov/14-dzeytov-mik22", "kernel_id": "104633592"}, {"ref": "gauravsalvi101/titatniccomp", "kernel_id": "104818248"}, {"ref": "gauravsalvi101/fork-of-titatniccomp", "kernel_id": "104859889"}, {"ref": "timafeevartem/14-mik22", "kernel_id": "104246378"}, {"ref": "dmitriylubimiy/lubimiylab14", "kernel_id": "104812754"}, {"ref": "suryamr2002/getting-started-with-titanic-dataset", "kernel_id": "104422880"}, {"ref": "beta3logic/ejercicios-aritm-tica-y-variables-me01-c01", "kernel_id": "104488716"}, {"ref": "akashreddy001/depression-new-method", "kernel_id": "104313869"}, {"ref": "shashanknecrothapa/titanic-competition-w-pytorch", "kernel_id": "104441488"}, {"ref": "karthikeyavuyyuru/offline-rag", "kernel_id": "104835700"}, {"ref": "mubashirulhassan00/machine-learning-labs", "kernel_id": "104065503"}, {"ref": "ajabkhan21/notebook9ddef38e1c", "kernel_id": "104113435"}, {"ref": "kaap10/titanic-beginner-s-guide-to-feature-engineering", "kernel_id": "104999440"}, {"ref": "rajar0110/titanic-sgd-classifier-kaggle-competitions", "kernel_id": "104870536"}, {"ref": "kirillgubkin/titanic", "kernel_id": "104866336"}, {"ref": "hibatabdulroof/titanic-survival-prediction", "kernel_id": "104492997"}, {"ref": "shobhitkumar29/titanic-shobhit", "kernel_id": "104624861"}, {"ref": "melikeklahc/titanic-logisticregression", "kernel_id": "104801531"}, {"ref": "zigu09/notebook1251cc0b4c", "kernel_id": "104044239"}, {"ref": "akshatgairola/titanic-survival-prediction-akshat-gairola", "kernel_id": "104546553"}, {"ref": "doannhatminh/notebooka5b780e2b0", "kernel_id": "104929800"}, {"ref": "danilahnidko/notebook54d6d3660b", "kernel_id": "104048886"}, {"ref": "abdullahsaid814/titanic-data-visualization-analysis", "kernel_id": "104837341"}, {"ref": "techabinesh/final-ensemble-code-0-70-0-79range", "kernel_id": "104624671"}, {"ref": "techabinesh/single-cell-top-ensemble-code-catboost-light", "kernel_id": "104962723"}, {"ref": "mdabrarhossainzahin/titanic-ml-advanced", "kernel_id": "104115895"}, {"ref": "atifsiddiqui1/notebook626de0ef05", "kernel_id": "104432088"}, {"ref": "ivok1978/titanic-challenge-competitions", "kernel_id": "104883551"}, {"ref": "waynechiu935/titanic", "kernel_id": "104440367"}, {"ref": "ankitkumar8252/exercise-arithmetic-and-variables", "kernel_id": "104092424"}, {"ref": "ankitkumar8252/titanic-tutorial", "kernel_id": "104092877"}, {"ref": "tabasumusman/titanic-survival-prediction-using-machine-learning", "kernel_id": "104837633"}, {"ref": "mykhailoyankovchuk/nm-lab2", "kernel_id": "104104027"}, {"ref": "jixiaolong1991/notebookef6e093e2d", "kernel_id": "104922382"}, {"ref": "sahrudaisunkara/titanic-survival-prediction", "kernel_id": "104885896"}, {"ref": "asmaelnaml/titanic", "kernel_id": "104268816"}, {"ref": "spydarr/titanic-survival-prediction-model", "kernel_id": "104332982"}, {"ref": "zainabs1/titanic-analyzing-a-disaster", "kernel_id": "104278593"}, {"ref": "eleftheria14/titanic-survival-prediction", "kernel_id": "104573411"}, {"ref": "lucascarpantonio/titanic-machine-learning-from-disaster", "kernel_id": "104300835"}, {"ref": "zehryt/teknogen", "kernel_id": "104912586"}, {"ref": "esilasahin/titanic", "kernel_id": "104527563"}, {"ref": "kaganmart9/titanic-speedrun", "kernel_id": "104114945"}, {"ref": "kamalirajasekaran/titanic-ml-prediction", "kernel_id": "104089851"}, {"ref": "adityathakekar/titanic-fast-tuning", "kernel_id": "104315172"}, {"ref": "jinwk0/titanic-studied", "kernel_id": "104108152"}, {"ref": "chinmaya10/titanic-simplest-way", "kernel_id": "104368318"}, {"ref": "mialearntobe/titanic-usingrandomforest", "kernel_id": "104505685"}, {"ref": "pallavihamand/titanic", "kernel_id": "104842904"}, {"ref": "apotheosis10905/machine-learning-titanic-dataset", "kernel_id": "104929509"}, {"ref": "ttqqqq/titanic-data-science-solutions", "kernel_id": "104872051"}, {"ref": "amanciocasares/eda-titanic-1st-try", "kernel_id": "104299030"}, {"ref": "ganjibaloch/titanic-tutorial", "kernel_id": "104863808"}, {"ref": "nasirkhan0078/titanic-tutorial", "kernel_id": "104863474"}, {"ref": "anantrathi3538/titanic-survival-prediction-using-random-forest", "kernel_id": "104347332"}, {"ref": "hiulnho/nguyendangkhoi", "kernel_id": "104929495"}, {"ref": "chedallaharsha1/notebookf729acfb03", "kernel_id": "104286820"}, {"ref": "hamayal/titanic-tutorial", "kernel_id": "104863264"}, {"ref": "khanzada123/titanic-tutorial-c48ed1", "kernel_id": "104863713"}, {"ref": "hassaanevol/titanic-tutorial", "kernel_id": "104597610"}, {"ref": "ahmadzone/titanic-tutorial", "kernel_id": "104597617"}, {"ref": "ayeshaaasana/titanic-tutorial", "kernel_id": "104597611"}, {"ref": "maryammmfaheem/titanic-tutorial", "kernel_id": "104597675"}, {"ref": "salamhussain487/titanic-tutorial-cee0e8", "kernel_id": "104864208"}, {"ref": "salamhussain487/notebook4b4cf36f55", "kernel_id": "104865533"}, {"ref": "rshvchandra/structured-data-preprocessing-ml-pipeline-design", "kernel_id": "104360177"}, {"ref": "nidhivekhande08/titanic-machine-learning-from-disaster", "kernel_id": "104747493"}, {"ref": "anjalirayyy/titanic-survivalpredictor", "kernel_id": "104096533"}, {"ref": "waelhlal/titanic-wael", "kernel_id": "104964377"}, {"ref": "emsibaddung13579/titanic-ahmed", "kernel_id": "104453002"}, {"ref": "vishwasupadhyay/titanic-survival-prediction-using-machine-learning", "kernel_id": "104509880"}, {"ref": "aliaunraza/titanic-tutorial", "kernel_id": "104597609"}, {"ref": "chrisidzerda/week-6", "kernel_id": "104925417"}, {"ref": "divitsetia/notebook3b1c074948", "kernel_id": "104880162"}, {"ref": "ezzeldeenatefmohamed/notebook671496a526", "kernel_id": "104816558"}, {"ref": "kerimzyldz/titanic-prediction-pytorch", "kernel_id": "104444796"}, {"ref": "ne02003/titanicsolution", "kernel_id": "104472512"}, {"ref": "scottwhte/titaniccodeproject3-age-imputed-using-title", "kernel_id": "104260464"}, {"ref": "ridaakhalil/titanic-tutorial", "kernel_id": "104597614"}, {"ref": "meerhazarkhanlaghari/titanic-tutorial", "kernel_id": "104597605"}, {"ref": "nasserahmedahmed/titanic-tutorial", "kernel_id": "104597615"}, {"ref": "junaid29/titanic-tutorial", "kernel_id": "104597622"}, {"ref": "jamshedhussainarijo/titanic-tutorial", "kernel_id": "104863204"}, {"ref": "ranataha1011/titanic-tutorial", "kernel_id": "104863542"}, {"ref": "sultanwajahatkiyani/titanic-tutorial", "kernel_id": "104864736"}, {"ref": "irfanali64/titanic-tutorial", "kernel_id": "104863377"}, {"ref": "emanfatima13/titanic-tutorial", "kernel_id": "104863824"}, {"ref": "meerachandio/titanic-tutorial", "kernel_id": "104863269"}, {"ref": "nabelasahar/titanic-tutorial", "kernel_id": "104863490"}, {"ref": "jamshaidzakaria/titanic-tutorial", "kernel_id": "104597648"}, {"ref": "nirupamaaishwaryas/classification-project-nirupama", "kernel_id": "104609980"}, {"ref": "tushartomar1/pandas-practice-5-titanic", "kernel_id": "104898036"}, {"ref": "ferecico/titanic-ingenier-a-de-t-tulos-y-optimizaci-n-de-b", "kernel_id": "104896370"}, {"ref": "anujsaha0123456789/titanic-improved-model-with-feature-engineering", "kernel_id": "104091758"}, {"ref": "mutimirwani/titanic-tutorial", "kernel_id": "104863340"}, {"ref": "esragne1/titanic-12", "kernel_id": "104345617"}, {"ref": "moizahnaeem/titanic-survival-prediction-complete-mlp-2025", "kernel_id": "104091074"}, {"ref": "oussamabouyahyaoui/notebookf4c3ad0378", "kernel_id": "104180101"}, {"ref": "tokistevs/primer-proyecto-supervivencia-titanic", "kernel_id": "104028136"}, {"ref": "zohaiibbaloch/titanic-tutorial", "kernel_id": "104597627"}, {"ref": "satyamkaggle17/getting-started-with-titanic", "kernel_id": "104283368"}, {"ref": "rafaelbarriosl/titanic-v1-draft", "kernel_id": "104684758"}, {"ref": "raghadabdalhaq/eda-assignment-titanic-dataset", "kernel_id": "104312995"}, {"ref": "raghadabdalhaq/notebook587669be58", "kernel_id": "104309984"}, {"ref": "ahmedazouz77/titanic-problem", "kernel_id": "104383983"}, {"ref": "karunasankarmudaliar/first-project", "kernel_id": "104542446"}, {"ref": "marcosperezesteban/my-first-xgbc-classifier-score-0-78708", "kernel_id": "104574591"}, {"ref": "josemoreirauy/titanic", "kernel_id": "104678430"}, {"ref": "osabiya/log-reg-dt-rf-titanic-dataset", "kernel_id": "104929492"}, {"ref": "senaakkanat/vb-titanic", "kernel_id": "104799126"}, {"ref": "sunbri/notebook2927aaa220", "kernel_id": "104882839"}, {"ref": "dfbjdsbds/my-heart-will-go-on", "kernel_id": "104929590"}, {"ref": "katekondrateva/notebooka69f64a8d6", "kernel_id": "105546209"}, {"ref": "ferariz/titanic-lr-lightgbm-model", "kernel_id": "105311285"}, {"ref": "zehclaudio/titanic-tutorial-pipelines-and-ensemble", "kernel_id": "105480459"}, {"ref": "dascient/spaceship-titanic-max-outreach", "kernel_id": "105195861"}, {"ref": "weisinx7/titanic", "kernel_id": "105474978"}, {"ref": "jeanpooljinezsorroza/titaninc-practice", "kernel_id": "105345013"}, {"ref": "deepankerkumeria/linear-model-and-neural-net-from-scratch", "kernel_id": "105578860"}, {"ref": "deepankerkumeria/how-random-forests-really-work", "kernel_id": "105578865"}, {"ref": "drmurataltun/ecs-yz-uygulama-s-nav", "kernel_id": "105117637"}, {"ref": "ranaselim/ecs-yz-uygulama-s-nav", "kernel_id": "105118488"}, {"ref": "malvinkurniawan/titanic-get-started", "kernel_id": "105880175"}, {"ref": "ramyheshmat/dive-deep-into-titanic-and-get-accuracy-of-99-76", "kernel_id": "105254498"}, {"ref": "gbholanda/gabriel-holanda-score-0-789", "kernel_id": "105719642"}, {"ref": "bob342/notebook4a324ba499", "kernel_id": "105357487"}, {"ref": "adityapuranik24/titanic-challenge", "kernel_id": "105732309"}, {"ref": "seyloj/titanic", "kernel_id": "105492314"}, {"ref": "mohamedamineaichaoui/getting-started-with-titanic", "kernel_id": "105352482"}, {"ref": "ayesidenurylmaz/titanic-veri-analizi", "kernel_id": "105078049"}, {"ref": "mohammedbahgat/decision-tree-analysis-assignment", "kernel_id": "105610864"}, {"ref": "rohan1103/filter-based-feature-selection", "kernel_id": "105217413"}, {"ref": "kidnixt/eda-and-prediction-for-titanic-competition", "kernel_id": "105630745"}, {"ref": "parinazmellatdoust/mytitanicnotebook", "kernel_id": "105528327"}, {"ref": "sohaibahmed9920/notebook6a07593362", "kernel_id": "105544818"}, {"ref": "anngtien/titanic08bf94a78c", "kernel_id": "105365359"}, {"ref": "soumyadeepsarkar12/logisiticregression-complete-roadmap", "kernel_id": "105295650"}, {"ref": "prateekvibhor14/my-1st-project", "kernel_id": "105865620"}, {"ref": "faizanshaikh20/titanic-advanced-ml-xg-feature-engineering", "kernel_id": "105318260"}, {"ref": "jazzzzzz08/titanic-eda-jiya", "kernel_id": "105867077"}, {"ref": "siddheshdumre/practice-ml", "kernel_id": "105318352"}, {"ref": "vivek1456/the-complete-kaggle-beginner-workflow", "kernel_id": "105991979"}, {"ref": "arinabolotnikova/titanic-shap-analysis", "kernel_id": "105980702"}, {"ref": "arinabolotnikova/titanic-survival-prediction-using-machine-learning", "kernel_id": "105959412"}, {"ref": "alifazelniya/titanic", "kernel_id": "105074192"}, {"ref": "rithanigopal/titanic-classification", "kernel_id": "105551448"}, {"ref": "trina44/titanic", "kernel_id": "105607136"}, {"ref": "korobiftj/titanic-complete-eda-baseline-model", "kernel_id": "105404739"}, {"ref": "amoghsagar/notebookade3f9e73c", "kernel_id": "105415547"}, {"ref": "maxtankialok/kaggle-workshop", "kernel_id": "105890005"}, {"ref": "ghulamhussainnoori/titanic-tutorial", "kernel_id": "105477918"}, {"ref": "fadimeaktas/titanic-eda", "kernel_id": "105302442"}, {"ref": "soueth/titanic-disaster-eda-feature-engineering", "kernel_id": "105718299"}, {"ref": "voloshynadaria/lab-02", "kernel_id": "105481699"}, {"ref": "borakol1/ecs-yz-uygulama-s-nav", "kernel_id": "105118478"}, {"ref": "vivekumar001/titanic-survival-prediction-eda-model", "kernel_id": "105962291"}, {"ref": "arnavde/gettingstartedwithtitanic", "kernel_id": "105748865"}, {"ref": "inkyoto/titanic-machine-learning-from-disaster", "kernel_id": "105463582"}, {"ref": "atharvgangwar/titanic-machine-learning-from-disaster", "kernel_id": "105235116"}, {"ref": "harivpatel/titanic-survival-prediction", "kernel_id": "105845921"}, {"ref": "silleparsberg/sp-titanic-notebook", "kernel_id": "105119132"}, {"ref": "aryandas29/titanic-survival-prediction-model", "kernel_id": "105039836"}, {"ref": "abdullahhoonmain/titanic-logistics-model", "kernel_id": "105086015"}, {"ref": "khngxuninh/tabnet-titanic-machine-learning-from-disaster", "kernel_id": "105653481"}, {"ref": "zkskhurram/titanic-tutorial", "kernel_id": "105204644"}, {"ref": "rmeysazengin/titanik-eda", "kernel_id": "105130764"}, {"ref": "techabinesh/titanic-code-with-0-996-score", "kernel_id": "105100646"}, {"ref": "techabinesh/titanic-data-score-0-996", "kernel_id": "105100852"}, {"ref": "siddhrajthakor/titanic-eda-modeling", "kernel_id": "105841935"}, {"ref": "logeshwaranpr/titanic-machine-learning-from-disaster", "kernel_id": "105234828"}, {"ref": "nerdyalgorithm/titanic-survival-analysis-and-ml-optimization", "kernel_id": "105561997"}, {"ref": "anoopkumar303/titanic-datasets", "kernel_id": "105658544"}, {"ref": "samuelgz/titanic-survival-prediction", "kernel_id": "105754911"}, {"ref": "khireddinebenmeziane/randomforestclassifier-77-27-accuracy", "kernel_id": "105771422"}, {"ref": "manikantaviswa/titanic-survival-prediction-logistic-regression", "kernel_id": "105789889"}, {"ref": "pranitabhor/titanic-for-absolute-beginners", "kernel_id": "105333383"}, {"ref": "vennyx14/notebookc4273b10ff", "kernel_id": "105311316"}, {"ref": "cosmicescape/elite-titanic-survival-modeling-pipeline", "kernel_id": "105607853"}, {"ref": "cosmicescape/how-i-got-0-98-on-titanic-don-t-do-this", "kernel_id": "105767652"}, {"ref": "aratiyadav100/titanic-complete-eda-baseline-model", "kernel_id": "105450876"}, {"ref": "adinathjagtap777/titanic-machine-learning-from-disaster", "kernel_id": "105476421"}, {"ref": "fikretkagankarpuz/ecs-vb-uygulamas-nav-23-12-2025", "kernel_id": "105327759"}, {"ref": "fikretkagankarpuz/ecs-vb-titanic", "kernel_id": "105223802"}, {"ref": "fikretkagankarpuz/titanicresult", "kernel_id": "105436454"}, {"ref": "datuet/htd-s-solve", "kernel_id": "105328148"}, {"ref": "fatmabadawy/titanic", "kernel_id": "105065930"}, {"ref": "mohitmalviya0107/ml-pipeline", "kernel_id": "105954390"}, {"ref": "harshitashibe24/clean-ml-pipeline-for-titanic-survival", "kernel_id": "105866568"}, {"ref": "harukimurai/titanic-machine-learning-from-disaster", "kernel_id": "105088931"}, {"ref": "muhammadrayanshahid/the-ultimate-eda-guide-top-10-techniques", "kernel_id": "105594208"}, {"ref": "ankush7712/notebook35c5813de4", "kernel_id": "105480195"}, {"ref": "ishiigoswami/getting-started-with-titanic", "kernel_id": "105964466"}, {"ref": "majdteleyan/titanic-gradientboosting", "kernel_id": "105428523"}, {"ref": "yuvanshudadhich/titanic-survival-sol-by-yuvanshu", "kernel_id": "105049092"}, {"ref": "kralovski65/teknolab", "kernel_id": "105072499"}, {"ref": "saamhm/catboost", "kernel_id": "105475025"}, {"ref": "abdulwahib480/titanic-dataset-training", "kernel_id": "105403048"}, {"ref": "fasikafaf/titanic-ml-from-disaster", "kernel_id": "105529515"}, {"ref": "ammnabilal/titanic-tutorial-d72442", "kernel_id": "105955239"}, {"ref": "oishikpal42/titanic-survived-pred", "kernel_id": "105426786"}, {"ref": "saifyxpro/exercise-arithmetic-and-variables", "kernel_id": "105779064"}, {"ref": "saifyxpro/titanic-submission", "kernel_id": "105781458"}, {"ref": "hiulnho/notebookc11a7f848b", "kernel_id": "105264122"}, {"ref": "mokshitsarma/notebookf67b27c204", "kernel_id": "105400428"}, {"ref": "yang2108/asignment2", "kernel_id": "105354999"}, {"ref": "risad1/titanic-tutorial", "kernel_id": "105417802"}, {"ref": "duongtran816/titanic-thd", "kernel_id": "105331114"}, {"ref": "jaydonsamueladigun/predicting-survival-titanic-disaster", "kernel_id": "105778824"}, {"ref": "hosseinbadrnezhad/titanic-step-by-step-logistic-regression", "kernel_id": "105286922"}, {"ref": "tayebaparveen/titanic-tutorial", "kernel_id": "105078886"}, {"ref": "saedabatool/titanic-tutorial", "kernel_id": "105245666"}, {"ref": "innocentgirlinoccent/titanic-tutorial-928c13", "kernel_id": "105956463"}, {"ref": "zaidbinaltaf/titanic-dataset", "kernel_id": "105912236"}, {"ref": "sohaibdevv/titanic-machine-learning-from-disaster", "kernel_id": "105320418"}, {"ref": "sohaibdevv/titanic-r-machine-learning-from-disaster", "kernel_id": "105616258"}, {"ref": "kunalkumar29/notebook2b5a2a2ad8", "kernel_id": "105819193"}, {"ref": "zzx022308/getting-started-with-titanic-go", "kernel_id": "105758887"}, {"ref": "duazahra2007/titanic-competition", "kernel_id": "105367324"}, {"ref": "bountyjacklee/titanic-day3-simplified", "kernel_id": "105039087"}, {"ref": "bountyjacklee/day-9-10-lightgbm", "kernel_id": "105524004"}, {"ref": "yusufdedee28/titanic", "kernel_id": "105151317"}, {"ref": "mehmetkunur/ecs-yz-uygulama-s-nav", "kernel_id": "105118613"}, {"ref": "pedrovictor4/notebook93b2f5ec11", "kernel_id": "105990854"}, {"ref": "ozakake/titanic", "kernel_id": "105039876"}, {"ref": "benbreichnisrine/notebook5c3dc14bd7", "kernel_id": "105625016"}, {"ref": "sienna0813/sienna-s-notebook", "kernel_id": "105013294"}, {"ref": "osabiya/perceptron-machine-learnign-from-disaster", "kernel_id": "105888892"}, {"ref": "khanhlinh1326d56/khanh-linh-s-sol", "kernel_id": "105312037"}, {"ref": "senaakkanat/ecs-yz-uygulama-s-nav", "kernel_id": "105327476"}, {"ref": "umarnabibhat/titanic-tutorial", "kernel_id": "105081993"}, {"ref": "umarnabibhat/exercise-arithmetic-and-variables", "kernel_id": "105317318"}, {"ref": "abrahamkadusei/exercise-arithmetic-and-variables", "kernel_id": "105565580"}, {"ref": "abrahamkadusei/abkor-getting-started-with-titanic", "kernel_id": "105626936"}, {"ref": "adityaroy176/titanic-logistic-regression", "kernel_id": "105283034"}, {"ref": "attiqueullah/titanic", "kernel_id": "105232029"}, {"ref": "meldaebrartopuz/titanic-notebook", "kernel_id": "105075613"}, {"ref": "gvvbby/titanic-analysis", "kernel_id": "105731428"}, {"ref": "tushardobal/titanic-survival-prediction-eda-randomforest-ml", "kernel_id": "105464422"}, {"ref": "wza6075/notebook9194194b2e", "kernel_id": "105114226"}, {"ref": "ayyildizzeynep/titanic", "kernel_id": "105151020"}, {"ref": "ayushh6/titanic-0", "kernel_id": "105338540"}, {"ref": "smailkaraboa/t-tan-c", "kernel_id": "105143213"}, {"ref": "mohitkhandelwal414/laptop-hike", "kernel_id": "105198089"}, {"ref": "haruki210/titanic-tutorial", "kernel_id": "105367710"}, {"ref": "saun6106/titanic", "kernel_id": "105221285"}, {"ref": "pratyushaswain/exercise-arithmetic-and-variables", "kernel_id": "105237946"}, {"ref": "nguynvnu/notebooka1c7168adf", "kernel_id": "105238651"}, {"ref": "nguynvnu/notebook2de44a4032", "kernel_id": "105273618"}, {"ref": "huyangyy/titanic-survival-prediction-baseline", "kernel_id": "105278791"}, {"ref": "hjyujohn/titanic", "kernel_id": "105773776"}, {"ref": "anng1112/demo-train", "kernel_id": "105369488"}, {"ref": "sumanpradhan01/data-storytelling-analysing-survival-on-the-titan", "kernel_id": "105836723"}, {"ref": "gauravmurugesan/project-logistic", "kernel_id": "105614185"}, {"ref": "ahmedtawfeek594835/notebookdc30f60444", "kernel_id": "105649039"}, {"ref": "yuyuzang/chinese-titanic-tutorial-byyuyuzang", "kernel_id": "105519932"}, {"ref": "pranjal1247/titanic-logistic-reg", "kernel_id": "105608961"}, {"ref": "knightssss/get-start-with-titanic", "kernel_id": "105671833"}, {"ref": "pawanprajapati1332/exercise-arithmetic-and-variables", "kernel_id": "105699632"}, {"ref": "andrews44/the-titanic-ensemble-model", "kernel_id": "105870961"}, {"ref": "meddourcherif/notebookabf146776a", "kernel_id": "105727861"}, {"ref": "adamj777/notebooke7301c630e", "kernel_id": "105857104"}, {"ref": "manikantayerra/exercise-arithmetic-and-variables", "kernel_id": "105825198"}, {"ref": "jakubsnopek1/titanicwsb", "kernel_id": "105850389"}, {"ref": "arezkimatougui/titanic-data-set", "kernel_id": "105939086"}, {"ref": "syedrazviuddin/week-1-data-preprocessing-for-ml", "kernel_id": "105974399"}, {"ref": "watanaberyunosuke/titanic-competition-tensorflow-cnn", "kernel_id": "106694274"}, {"ref": "pinakshah/titanic-logisticreg", "kernel_id": "106270026"}, {"ref": "jayeshkaushal/notebook93af02705c", "kernel_id": "106396998"}, {"ref": "masanakashima/titanic-advanced-stacking-optuna", "kernel_id": "106219710"}, {"ref": "masanakashima/titanic-lightgbm-catboost-ensemble-78", "kernel_id": "106218544"}, {"ref": "masanakashima/titanic-advanced-stacking-optuna-rich-eda", "kernel_id": "106220304"}, {"ref": "masanakashima/titanic-advanced-stacking-pipeline-viz", "kernel_id": "106221437"}, {"ref": "gyaanendraprakash/aiml-lab-assignment-1-set-1", "kernel_id": "106764772"}, {"ref": "punitpawar/titanic-prediction", "kernel_id": "106641346"}, {"ref": "aimdba0636/titanic-willen", "kernel_id": "106224997"}, {"ref": "oroaah/mlproject-titanic", "kernel_id": "106369741"}, {"ref": "abdelrhmannouh/ml-titanic", "kernel_id": "106744664"}, {"ref": "mohammedmdarwish/titanic-survival-classifcation-using-ml-models", "kernel_id": "106314389"}, {"ref": "nonthapat/hw1-pattern", "kernel_id": "106899893"}, {"ref": "blourdhuraju/titanic-survival-prediction", "kernel_id": "106012269"}, {"ref": "ertugrulgazi/titanic-eda1", "kernel_id": "106738780"}, {"ref": "chrismundwa/titanic-model", "kernel_id": "106310982"}, {"ref": "andreoliveira83/titanic-v1", "kernel_id": "106177491"}, {"ref": "armanzhalgasbayev/python-intro-css-5001", "kernel_id": "106739274"}, {"ref": "errajanikantawasthi/rkawasthi-007", "kernel_id": "106214874"}, {"ref": "marwanragab1212/titanic-ml-eda-visualization-models", "kernel_id": "106602662"}, {"ref": "prashantdubey2107/titatnic-survival-prediction", "kernel_id": "106127263"}, {"ref": "ajabkhan21/notebook76a04355db", "kernel_id": "106470692"}, {"ref": "ajabkhan21/notebooka61e9d1a3b", "kernel_id": "106321347"}, {"ref": "ajabkhan21/notebook1f6493bd95", "kernel_id": "106322483"}, {"ref": "harshporwal033/kaggle-guide", "kernel_id": "106199808"}, {"ref": "arinabolotnikova/titanic-xgboost-optimization-with-optuna", "kernel_id": "106043821"}, {"ref": "mastershomya/inferential-stats-confidence-interval", "kernel_id": "106237833"}, {"ref": "keyadobriyal/titanic-eda-prediction", "kernel_id": "106628588"}, {"ref": "ahmetcankarabulut/titanic-0-77-logreg-xgb-randomforest", "kernel_id": "106822033"}, {"ref": "todddole/eda-demo-i", "kernel_id": "106978704"}, {"ref": "dragonvegetable/machine-learning-disaster", "kernel_id": "106380965"}, {"ref": "vickskigoli/notebook6d17e35d2e", "kernel_id": "106733318"}, {"ref": "accertoufik/titanic-survival-classifier-prediction", "kernel_id": "106033912"}, {"ref": "var3456/titanic-classification", "kernel_id": "106011880"}, {"ref": "camiloarg30/01-titanic-survivor-predictor", "kernel_id": "106922059"}, {"ref": "sarveshchhetri/who-survived-titanic-ml-story", "kernel_id": "106139990"}, {"ref": "voloshynadaria/lab-04-updated", "kernel_id": "106020655"}, {"ref": "fatikh/titanic", "kernel_id": "106384317"}, {"ref": "divishjindal09/titanic-eda", "kernel_id": "106482153"}, {"ref": "tsepomayaba/titanic-kaggle-competition", "kernel_id": "106855691"}, {"ref": "hillaryelise/titanic-machine-learning-from-disaster", "kernel_id": "106323172"}, {"ref": "saurabhrajvarma/spaceship-titanic", "kernel_id": "106049528"}, {"ref": "iitbutkarsh/simple-ml-demo", "kernel_id": "106100372"}, {"ref": "akshatkasarwal/titanic-competition-2", "kernel_id": "106598241"}, {"ref": "abeerelhalfawy/titanic-analysis-pred-with-81-7-accuracy", "kernel_id": "106697679"}, {"ref": "asamurayuuta/bd20260106", "kernel_id": "106280342"}, {"ref": "mohamedmosad23/titanic-problem-rf", "kernel_id": "106166519"}, {"ref": "faseeh241/titanic-competition", "kernel_id": "106395368"}, {"ref": "anagharaghavan/enemble", "kernel_id": "106303267"}, {"ref": "daddychillonkaggle/titanic-survived-or-not", "kernel_id": "106856900"}, {"ref": "bdileepkumarreddy/test-run", "kernel_id": "106017910"}, {"ref": "hassanahmed234/notebooke2ed91ab6a", "kernel_id": "106044110"}, {"ref": "barshamishra19/titanic-machine-learning-from-disaster", "kernel_id": "106789408"}, {"ref": "juliansokoowski/notebookd3c2f6b825", "kernel_id": "106908534"}, {"ref": "akshattekriwal/getting-started-with-titanic", "kernel_id": "106471914"}, {"ref": "thanananpalanand/dsde-midterm-finalized", "kernel_id": "106948272"}, {"ref": "anujjakhar2104/titanic-eda-dt-rf", "kernel_id": "106145801"}, {"ref": "sarveshchaudhary25/getting-started-with-titanic", "kernel_id": "106202827"}, {"ref": "ravipisu/titanic-survival-analysis-kaggle-sample-notebook", "kernel_id": "106338110"}, {"ref": "chinmaisd/titanic-disaster", "kernel_id": "106045339"}, {"ref": "shadynil/titanic", "kernel_id": "106693732"}, {"ref": "stoooq/titanic-baseline-mi-osz-g-owacki", "kernel_id": "106824691"}, {"ref": "hiteshkumaripu/titanic-survival-prediction", "kernel_id": "106049592"}, {"ref": "dinhthiquynhanh/titanic-randomforest", "kernel_id": "106948965"}, {"ref": "ajeetkumar2025/titan-survival-analysis", "kernel_id": "106768726"}, {"ref": "tiagoheitzmann/titanic-random-forest-approach", "kernel_id": "106052069"}, {"ref": "shouryachoudhary/deep-dive-into-logistic-regression-for-beginners", "kernel_id": "106396755"}, {"ref": "nathandevinix/t2-sist-int", "kernel_id": "106038661"}, {"ref": "prajwalbhomale/assignment-3", "kernel_id": "106860208"}, {"ref": "prajwalbhomale/assignment-4", "kernel_id": "106861102"}, {"ref": "naphali/exercise-arithmetic-and-variables", "kernel_id": "106373420"}, {"ref": "sonuts/using-tf", "kernel_id": "106345748"}, {"ref": "sunidhibharti/titanic-prediction", "kernel_id": "106208991"}, {"ref": "vdnguyen28/titanic1", "kernel_id": "106774353"}, {"ref": "radityaalfarisi/titanic-without-t-and-t-look-like-ionic", "kernel_id": "106086638"}, {"ref": "sehaj1104/titanic-competition-w-tensorflow", "kernel_id": "106357118"}, {"ref": "nafiulkhalid/exercise-arithmetic-and-variables", "kernel_id": "106601119"}, {"ref": "nafiulkhalid/titanic-randomforestclassifier", "kernel_id": "106615818"}, {"ref": "anujtaware/getting-started-with-titanic", "kernel_id": "106547070"}, {"ref": "amralkhuffash/titanic", "kernel_id": "106622765"}, {"ref": "ozcankursun/1-titanic-exploratory-data-analysis", "kernel_id": "106912289"}, {"ref": "lock812/titanic", "kernel_id": "106019993"}, {"ref": "sohaibharooon/filter-base-feature-selection-ipynb", "kernel_id": "106193375"}, {"ref": "vaishnavipatil165/assno3", "kernel_id": "106705879"}, {"ref": "bagendabangakatunga/getting-started-with-titanic", "kernel_id": "106179552"}, {"ref": "alenissacsam/titanic-ml-model", "kernel_id": "106461487"}, {"ref": "kaustubhrahane/assignment-3", "kernel_id": "106900161"}, {"ref": "misusingkaggle/titanic-problem-solution", "kernel_id": "106156899"}, {"ref": "drakan02/titanic", "kernel_id": "106885661"}, {"ref": "andinabilsafaraz/titanic-testing", "kernel_id": "106391109"}, {"ref": "raghvendra9713/filter-based-feature-selection-8c5fbb", "kernel_id": "106952294"}, {"ref": "aaryaj745/titanic-tutorial", "kernel_id": "106797155"}, {"ref": "isamimasi/titanicrandomforest", "kernel_id": "106122938"}, {"ref": "homiedave/titanic-survival-complete-eda", "kernel_id": "106313478"}, {"ref": "samarfatimamzg/titanic-competition", "kernel_id": "106708782"}, {"ref": "fadouamili2001/titanic-workshop", "kernel_id": "106468734"}, {"ref": "sahiltattu/assignment-no-3", "kernel_id": "106722669"}, {"ref": "brillianopp/titanic-project", "kernel_id": "106144287"}, {"ref": "shahnawazthefather/titanic-2-sample-t-test", "kernel_id": "106363983"}, {"ref": "shahnawazthefather/central-limit-theorem-case-study", "kernel_id": "106191132"}, {"ref": "shahnawazthefather/single-sample-t-test", "kernel_id": "106356748"}, {"ref": "sinanshereef/titanic-prediction", "kernel_id": "106356236"}, {"ref": "vuthidieuhuongds01/notebookafda5abf11", "kernel_id": "106949012"}, {"ref": "smaldo2000/titanic-comp", "kernel_id": "106332309"}, {"ref": "saniyavahora2205/titanic-dataset-xgboost", "kernel_id": "106719046"}, {"ref": "databaze/titanic-eda-modeling", "kernel_id": "106464200"}, {"ref": "parthibangs/titanic-project-by-parthiban-gs", "kernel_id": "106592564"}, {"ref": "sagarmarotkar/exercise-arithmetic-and-variables", "kernel_id": "106035782"}, {"ref": "yujuanzhangai/titanic-eda-stack-ensemble-78-precision", "kernel_id": "106342713"}, {"ref": "mtahiryamin/titanic-competition-w-tensorflow-decision-603a20", "kernel_id": "106023969"}, {"ref": "kgauravky/titanic-dataset-beginner-friendly-eda", "kernel_id": "106101577"}, {"ref": "vishwadesaids/titanic-passenger-survival-analysis-eda", "kernel_id": "106227965"}, {"ref": "vishwadesaids/getting-started-with-titanic", "kernel_id": "106111020"}, {"ref": "nitinmishra7414/titanic", "kernel_id": "106564356"}, {"ref": "jagruthilaxmi/notebookff445a0bae", "kernel_id": "106710471"}, {"ref": "ejjapurapumokshitha/exercise-arithmetic-and-variables", "kernel_id": "106091366"}, {"ref": "oxgadfly/titanic", "kernel_id": "106062703"}, {"ref": "sameerinfine8/end-to-end-titanic-ml-eda-model-prediction", "kernel_id": "106500671"}, {"ref": "anushkadorge/assignment-3", "kernel_id": "106880417"}, {"ref": "anushkabansode09/assignment03-anushkab", "kernel_id": "106797494"}, {"ref": "anushkabansode09/assignment04-anushkab", "kernel_id": "106800545"}, {"ref": "kousalyawundavalli/getting-started-with-titanic", "kernel_id": "106200258"}, {"ref": "fahimoussama/notebookc0a32b3ea8", "kernel_id": "106819350"}, {"ref": "quocdunghuynh/titanic-notebook-in-python", "kernel_id": "106548932"}, {"ref": "invinci77/titanic-survival", "kernel_id": "106168862"}, {"ref": "sadiksimsir/titanic-disaster", "kernel_id": "106171648"}, {"ref": "andreasnjacobsen/notebookb921b142aa", "kernel_id": "106113789"}, {"ref": "komalbatoolai/titanic-survival-prediction-a-beginner-frie", "kernel_id": "106770959"}, {"ref": "hotcube/wwx33087-zaawansowana-analiza-titanic-kaggle", "kernel_id": "106505018"}, {"ref": "karanratiya/pandas-karanl", "kernel_id": "106490048"}, {"ref": "babeey/exercise-arithmetic-and-variables", "kernel_id": "106297607"}, {"ref": "abublond/exercise-arithmetic-and-variables", "kernel_id": "106314057"}, {"ref": "rahidhasan626/titanic-machine-learning-from-disaster", "kernel_id": "106643646"}, {"ref": "lalithapamarthi/getting-started-with-titanic", "kernel_id": "106330052"}, {"ref": "nguyenhoanglong2005/notebook6e973e4025", "kernel_id": "106948902"}, {"ref": "moralesgomez/titanic-logistic-prediction", "kernel_id": "106969843"}, {"ref": "halaabudaia/notebooka484a8cbb3", "kernel_id": "106626651"}, {"ref": "marmelkamili/notebook-data-science", "kernel_id": "106673195"}, {"ref": "ayushsanjayzode/titanic-survival-prediction-using-machine-learning", "kernel_id": "106678726"}, {"ref": "yasserkhalilq/exercise-arithmetic-and-variables", "kernel_id": "106740773"}, {"ref": "ahmadahsinsyamil/titanic", "kernel_id": "106841469"}, {"ref": "rushmithar/notebook3cc37e8097", "kernel_id": "106778961"}, {"ref": "larkinkirill/notebook1bae0c7a44", "kernel_id": "106942795"}, {"ref": "aahumaaan/titanic-scientific-investigation", "kernel_id": "106877315"}, {"ref": "connormacejak/getting-started-with-titanic", "kernel_id": "106813505"}, {"ref": "mgrzymalamerito/titanic-analysis", "kernel_id": "106825818"}, {"ref": "ngatruonng/truongnga", "kernel_id": "106949005"}, {"ref": "flyingsaucer/titanic-final", "kernel_id": "107523260"}, {"ref": "mlai147/titanic-survival-classification-tutorial", "kernel_id": "107368465"}, {"ref": "hiteshkadam/exercise-arithmetic-and-variables", "kernel_id": "107499636"}, {"ref": "leonchani/11-baseline-titanic-machine-learning-from-disaster", "kernel_id": "107254699"}, {"ref": "leonchani/01-eda-titanic-machine-learning-from-disaster", "kernel_id": "107252435"}, {"ref": "leonchani/01-eda-llm-classification-finetuning", "kernel_id": "107807284"}, {"ref": "gyaanendraprakash/redo-aiml-lab-assignment-1-set-1", "kernel_id": "107371401"}, {"ref": "haneensaber/exercise-arithmetic-and-variables", "kernel_id": "107839726"}, {"ref": "skanderadamafi/titanic-competition", "kernel_id": "107626180"}, {"ref": "changyanteing/titanic-submission-beginner-friendly", "kernel_id": "107810566"}, {"ref": "felixaustine/titanic-ml-passanger-survival", "kernel_id": "107519452"}, {"ref": "abhignaupadhyaya/titanic-aj-trial1", "kernel_id": "107374215"}, {"ref": "sajidrahi/titanic-survival-predications", "kernel_id": "107374036"}, {"ref": "devendrarajpurohit58/centrallimittheorem", "kernel_id": "107771328"}, {"ref": "yuktishar/titanic-survival-prediction-eda-baseline-ml", "kernel_id": "107947455"}, {"ref": "charulchim/titanic-notebook-implementatiion", "kernel_id": "107815680"}, {"ref": "snehapranathi2102/titanic-ml-model", "kernel_id": "107824623"}, {"ref": "carp0308/titanic-survival-prediction-analysis", "kernel_id": "107607801"}, {"ref": "carp0308/advanced-feature-engineering-ensemble-methods", "kernel_id": "107696825"}, {"ref": "carp0308/titanic-survival-analysis-statistical", "kernel_id": "107590027"}, {"ref": "rajcjain/titanic-survival-prediction-beginner-s-guide", "kernel_id": "107114929"}, {"ref": "mayank8iitm/notebook9b508bdfea", "kernel_id": "107422979"}, {"ref": "nancy99/titanic-from-data-exploration-to-ml-features", "kernel_id": "107175473"}, {"ref": "maximendacleu/titanic-analysis", "kernel_id": "107189887"}, {"ref": "anamika744/titanic-dataset-model-comparison-project", "kernel_id": "107451232"}, {"ref": "betlerdal/titanic-boosting", "kernel_id": "107719804"}, {"ref": "gupttaaruna/notebookb60771d9bf", "kernel_id": "107783012"}, {"ref": "vismayakatkar/vismaya-k", "kernel_id": "107211680"}, {"ref": "takatophy/titanic-with-tabpfn-model", "kernel_id": "107662287"}, {"ref": "takatophy/titanic-notebook-modeler", "kernel_id": "107664075"}, {"ref": "debdattarut/exercise-arithmetic-and-variables", "kernel_id": "107102641"}, {"ref": "agastyagupta007/titanic-rf", "kernel_id": "107437510"}, {"ref": "michaelndekebai/notebook1b348e07cb", "kernel_id": "107007224"}, {"ref": "afreensayed4/titanic-analysis", "kernel_id": "107023392"}, {"ref": "dkay206/notebooka27943df51", "kernel_id": "107099881"}, {"ref": "bhargabjyotibhuyan/titanic-kaggle-prac", "kernel_id": "107372324"}, {"ref": "rohitpatel13/titanic-tutorial", "kernel_id": "107751234"}, {"ref": "rhythmghai/from-shipwreck-to-survival-titanic-ml", "kernel_id": "107856986"}, {"ref": "feyzayildizz/datahub", "kernel_id": "107987082"}, {"ref": "charankulal0987/titanic-survivors", "kernel_id": "107254459"}, {"ref": "aliiakbarkhan/titanic-contest-notebook", "kernel_id": "107770929"}, {"ref": "aditya1628/titanic1", "kernel_id": "107439540"}, {"ref": "vedanshagarwal2007/why-my-ml-model-predicted-only-one-class", "kernel_id": "107610336"}, {"ref": "vedanshagarwal2007/titanic-survival-prediction-beginner-friendly-ml", "kernel_id": "107608039"}, {"ref": "nihhshu/feature-selection", "kernel_id": "107413481"}, {"ref": "artemkabseu/titanic-logisticregression-pipeline", "kernel_id": "107080783"}, {"ref": "sreyarudra/titanic-machinelearning-from-disaster", "kernel_id": "107377734"}, {"ref": "joelperryman/titanic-journey", "kernel_id": "107796818"}, {"ref": "sanghitaroy/titanic-dataset-analysis", "kernel_id": "107553959"}, {"ref": "yusufsertkayaysk/titanic-beginner-friendly", "kernel_id": "107995683"}, {"ref": "shahidaka/easy-and-pandas-only-notebook", "kernel_id": "107947954"}, {"ref": "devakirangeddam/titanic-logistic-regression", "kernel_id": "107995512"}, {"ref": "shoafzalshomuhidov/titanic-disaster-statistical-deep-dive-with-inter", "kernel_id": "107434915"}, {"ref": "kathirvelsasikumar/kaggle-titanic-submission", "kernel_id": "107824730"}, {"ref": "poornimakhebbar/titanic-notebook-poornima", "kernel_id": "107118910"}, {"ref": "anushka213/notebookbf22855c16", "kernel_id": "107264829"}, {"ref": "namnguynnnn/titanic-ml", "kernel_id": "107055590"}, {"ref": "shetyerahul/titanic-submission", "kernel_id": "107187418"}, {"ref": "varadsuvarnakar/titanic-survival-pred", "kernel_id": "107226779"}, {"ref": "s4rth4k01/getting-started-with-titanic", "kernel_id": "107053260"}, {"ref": "nguyntrnhhilinh/titanic-hailinh", "kernel_id": "107446823"}, {"ref": "architjagadeb/exercise-arithmetic-and-variables", "kernel_id": "107132379"}, {"ref": "ozcankursun/fixed-abd-titanic-train", "kernel_id": "107186223"}, {"ref": "himass2k5/nguyenmanhthang", "kernel_id": "107062756"}, {"ref": "mrrobotbamboo/titanic", "kernel_id": "107236922"}, {"ref": "dominikkarpiesiuk/titanic-analysis", "kernel_id": "107774833"}, {"ref": "zeeshanshan/survival-prediction-on-the-titanic-dataset", "kernel_id": "107657882"}, {"ref": "casdiovc/notebooka539d319d5", "kernel_id": "107819400"}, {"ref": "ahmetcanyener/titanic-first", "kernel_id": "107867817"}, {"ref": "arnav23pandita/titanic-eda", "kernel_id": "107201307"}, {"ref": "shreyansh1604/getting-started-with-ml", "kernel_id": "107047601"}, {"ref": "zaidbinaltaf/titanic-analysis-and-prediction", "kernel_id": "107022142"}, {"ref": "liming1142/titanic", "kernel_id": "107111384"}, {"ref": "hohansieuds01/getting-started-with-titanic", "kernel_id": "107315865"}, {"ref": "junghyunpark7/my-titanic", "kernel_id": "107314686"}, {"ref": "payalcomputer/exercise-arithmetic-and-variables", "kernel_id": "107685318"}, {"ref": "gopalzxc/notebook-on-titanic-ml-from-disaster", "kernel_id": "107114080"}, {"ref": "demirkadir04/featureengineering-1", "kernel_id": "107811319"}, {"ref": "lakshaymeghlan/notebook921c9a91b6", "kernel_id": "107454890"}, {"ref": "yyychy/taitanic-1", "kernel_id": "107203541"}, {"ref": "sandeepbadhan/notebook96fd9e0a4d", "kernel_id": "107219586"}, {"ref": "ilnickijoleksandr/titanic-survival-eda-tuning-and-model-selection", "kernel_id": "107067399"}, {"ref": "adamlineuv3/getting-started-with-titanic", "kernel_id": "107460011"}, {"ref": "nguyengiaduc/titanic-machine-learning", "kernel_id": "107315951"}, {"ref": "dangduchai/getting-started-with-titanic", "kernel_id": "107288771"}, {"ref": "aayushrajendratajane/data-visualization", "kernel_id": "107048127"}, {"ref": "jenysadadia12/linear-model-and-neural-net-from-scratch", "kernel_id": "107409445"}, {"ref": "jenysadadia12/random-forests-with-heart-disease-dataset", "kernel_id": "107583304"}, {"ref": "pritvipalaniappan07/getting-started-with-titanic", "kernel_id": "107114815"}, {"ref": "thanhvan165/titanic2", "kernel_id": "107315803"}, {"ref": "thanhvan165/thanhvan1", "kernel_id": "107313509"}, {"ref": "phamthao123/ph-m-ph-ng-th-o-titanic", "kernel_id": "107498683"}, {"ref": "phamthao123/notebooka18e6fc14c", "kernel_id": "107500064"}, {"ref": "subarshanapalanivel/exercise-arithmetic-and-variables", "kernel_id": "107364375"}, {"ref": "raedalrubayee/titanic-survival-prediction-tuning-randomforest", "kernel_id": "107149075"}, {"ref": "baotranquoc811/logistic-regression-titanic", "kernel_id": "107116268"}, {"ref": "akingunaydin/fintech-baslangic", "kernel_id": "107078691"}, {"ref": "imrankhanwork/exercise-arithmetic-and-variables", "kernel_id": "107188247"}, {"ref": "drghadamamdouh/h-work-week1-ghada", "kernel_id": "107208092"}, {"ref": "nishuuujain/titanic-ipnyb", "kernel_id": "107273353"}, {"ref": "neudheh/exercise-arithmetic-and-variables", "kernel_id": "107280641"}, {"ref": "ahmeterkan0/23909021-ahmet-erkan-ver-anal-z-dev", "kernel_id": "107425141"}, {"ref": "artemko2332/titanic-data-science-solutions", "kernel_id": "107535204"}, {"ref": "efeszen/notebook25c0325fbc", "kernel_id": "107380339"}, {"ref": "yasirnalazmi/titanic-eda-and-machine-learning-pipeline", "kernel_id": "107397908"}, {"ref": "satzzi/titanic-top-4-rf-optuna-family-survival-sry", "kernel_id": "107506720"}, {"ref": "mohitdatafisci/titanic-my-first-notebook", "kernel_id": "107908232"}, {"ref": "kabirsingh21/notebook0dab6398ec", "kernel_id": "107811686"}, {"ref": "bhargavasaikattla/notebook750f19e77e", "kernel_id": "107845656"}, {"ref": "shivamkashyap12/exercise-arithmetic-and-variables", "kernel_id": "107799125"}, {"ref": "mandakeerthanasri/baseline-attempt", "kernel_id": "107803397"}, {"ref": "rathadarsh/notebookfeb60979cb", "kernel_id": "107843785"}, {"ref": "himanshuverma17/titanic-survival-prediction-random-forest", "kernel_id": "107818843"}, {"ref": "arpan152004/notebook1d416a2f56", "kernel_id": "107845790"}, {"ref": "girishkumar5672/notebook48c32baeea", "kernel_id": "107909780"}, {"ref": "edaulker2/notebookb9e005600d", "kernel_id": "107946613"}, {"ref": "sridharradi/using-logistic-regression-first-note-book", "kernel_id": "108045041"}, {"ref": "jawadahmad412/data-preprocessing", "kernel_id": "108667534"}, {"ref": "debbdeb/titanic-classification", "kernel_id": "108447691"}, {"ref": "shreyadutta/notebook-titanic", "kernel_id": "108082607"}, {"ref": "likhithageddam/titanic-data-science-solutions", "kernel_id": "108925465"}, {"ref": "kavyalolla/titanicsurvival-lr", "kernel_id": "108966221"}, {"ref": "thrmlpwrd/titanic", "kernel_id": "108455133"}, {"ref": "samkamau/assignment-3-titanic-exploratory-data-analysis", "kernel_id": "108553933"}, {"ref": "slowracecar/mdl-lab2-titanicdataset", "kernel_id": "108029094"}, {"ref": "monu2510/exercise-arithmetic-and-variables", "kernel_id": "108047121"}, {"ref": "haticebaydemir/04-classification-models", "kernel_id": "108559294"}, {"ref": "haticebaydemir/05-advanced-ml-unsupervised-and-production", "kernel_id": "108772829"}, {"ref": "shauryaa240/hw1-problem2-shaurya", "kernel_id": "108990234"}, {"ref": "arnoldaijuka/arnold-aijuka-exploratory-data-analysis-project", "kernel_id": "108061346"}, {"ref": "patiencendiritu/patience-njeri-titanic-exploratory-data-analysis", "kernel_id": "108508386"}, {"ref": "abdelrhmannouh/titanic-ml", "kernel_id": "108405308"}, {"ref": "sohanphadikar/titanic-auto-training-nn-model", "kernel_id": "108437705"}, {"ref": "carloscll/feb-08th-2026-fe", "kernel_id": "108965563"}, {"ref": "amrmohamed898/titanic-survival-from-eda-to-0-82", "kernel_id": "108545751"}, {"ref": "ommprakashchhotaray/exercise-arithmetic-and-variables", "kernel_id": "108949879"}, {"ref": "bibekrai/exercise-arithmetic-and-variables", "kernel_id": "108131375"}, {"ref": "ganeshghosh/titanic-ml-disaster-gen1", "kernel_id": "108676545"}, {"ref": "mercykasiva/mercy-kasiva-kisengese-cs-da03-26060-eda", "kernel_id": "108543157"}, {"ref": "luistobias123/titanic-logistic-regression", "kernel_id": "108992794"}, {"ref": "arayanikah/notebookfef8bfb0e4", "kernel_id": "108182236"}, {"ref": "bhargavcreations/kagglehandson", "kernel_id": "108447188"}, {"ref": "odumosuariopeyemi/exercise-arithmetic-and-variables", "kernel_id": "108212782"}, {"ref": "colinmeyer/notebook127cb3fca3", "kernel_id": "108273746"}, {"ref": "delisamagai/titanic-eda-smmaika", "kernel_id": "108521397"}, {"ref": "bhaveshnegi2003/titanic-ml-pipeline", "kernel_id": "108139906"}, {"ref": "kelsyadhiambo/kelsy-l-a-owino-eda-assignment", "kernel_id": "108536064"}, {"ref": "najmussaqibkirmani/titanic-project", "kernel_id": "108375801"}, {"ref": "mohamedehaab/titanic-survival-prediction", "kernel_id": "108097254"}, {"ref": "prthmptl/titanic-random-forest-baseline", "kernel_id": "108436904"}, {"ref": "franklinagina/titanic-exploratory-data-analysis", "kernel_id": "108533306"}, {"ref": "opiyopolycarp/opiyo-polycarp-exploratory-data-analysis-project", "kernel_id": "108511686"}, {"ref": "opiyopolycarp/opiyo-polycarp-eda-assignment", "kernel_id": "108531207"}, {"ref": "shanmugapriyamano/getting-started-with-titanic-in-2026", "kernel_id": "108840385"}, {"ref": "rajcjain/housing-price-prediction-with-random-forest", "kernel_id": "108088556"}, {"ref": "kritikainwati/eda-univariant-analysis", "kernel_id": "108200033"}, {"ref": "alicemirigo/alice-mirigo-eda-assignment-week-3", "kernel_id": "108318695"}, {"ref": "mostafayounes18/titanic-survivors-ml-competition", "kernel_id": "108015414"}, {"ref": "joalysonlima/titanic-competition", "kernel_id": "108171555"}, {"ref": "gedionsang/gedion-sang-titanic-eda-assignment-cs-da03-26010", "kernel_id": "108567332"}, {"ref": "takatophy/quantum-machine-learning-for-titanic-vqc-approach", "kernel_id": "108120525"}, {"ref": "crazyguy666/titanic-solution", "kernel_id": "108507674"}, {"ref": "marcusgerczak/titanic", "kernel_id": "108552833"}, {"ref": "zkskhurram/exercise-arithmetic-and-variables", "kernel_id": "108446387"}, {"ref": "nyanjui/ian-kinyanjui-eda-assignment-week-3", "kernel_id": "108085330"}, {"ref": "harshprasad26/titanic01", "kernel_id": "108237919"}, {"ref": "jinfuniu/titanic-basic-version", "kernel_id": "108366379"}, {"ref": "ag0606/titanic-dataset-eda", "kernel_id": "108627973"}, {"ref": "christineedna/achieng-christine-edna-eda-project", "kernel_id": "108605991"}, {"ref": "nidhisakpal24/titanic-tutorial", "kernel_id": "108413147"}, {"ref": "burakaltunda/titanic-ipynb", "kernel_id": "108241394"}, {"ref": "yashasvimattoo/titanic-eda-pandas", "kernel_id": "108379509"}, {"ref": "mohamedsheta20/titanic-analysis-and-model-classifier", "kernel_id": "108785385"}, {"ref": "netramfaran/titanic-ml-feature-engineering", "kernel_id": "108757151"}, {"ref": "netramfaran/beginner-friendly-titanic-eda-logistic-regressio", "kernel_id": "108658743"}, {"ref": "thomasschreyer/notebook28c864e8dd", "kernel_id": "108273321"}, {"ref": "lucasjandrich25/titanic-prediction-2026", "kernel_id": "108794178"}, {"ref": "elianakariuki/titanic-analysis", "kernel_id": "108323635"}, {"ref": "kayamiaki/titanic-machine-learning-from-disaster-1", "kernel_id": "108383369"}, {"ref": "arslanrejepov/logistic-regression-titanic-ml", "kernel_id": "108463182"}, {"ref": "valarmorghulis30/titanic", "kernel_id": "108752170"}, {"ref": "josephricher/notebooke1bcc4bc18", "kernel_id": "108258602"}, {"ref": "emir39/titanic-ds-mlhub", "kernel_id": "108066804"}, {"ref": "ryanbaes/lab-1-ai2010-ryan-baes", "kernel_id": "108258645"}, {"ref": "aitimmaaay/titanic-survival-prediction-with-xgboost", "kernel_id": "108809365"}, {"ref": "salomekungu/salome-kungu-cs-da03-26054-titanic-eda-report", "kernel_id": "108073961"}, {"ref": "nawwafzayyanmusyafa/titanic-survived-prediction", "kernel_id": "108122351"}, {"ref": "niky3232/exercise-arithmetic-and-variables", "kernel_id": "108439018"}, {"ref": "mohamedfaisalsalem/fork-of-titanic", "kernel_id": "108261903"}, {"ref": "muchzannurnadhif/titanic-cv1-much", "kernel_id": "108490559"}, {"ref": "payaldhokane/titanic-stacking-lgbm", "kernel_id": "108160583"}, {"ref": "payaldhokane/titanic-gradientboosting", "kernel_id": "108159971"}, {"ref": "payaldhokane/titanic-cv", "kernel_id": "108161161"}, {"ref": "payaldhokane/titanic", "kernel_id": "108167768"}, {"ref": "sheelashishshah/exercise-arithmetic-and-variables", "kernel_id": "108467809"}, {"ref": "elsayedaboulila/exercise-arithmetic-and-variables", "kernel_id": "108395428"}, {"ref": "marionsure/marion-sure-titanic-eda", "kernel_id": "108409070"}, {"ref": "divyanshjn/titanic", "kernel_id": "108449946"}, {"ref": "gayathribellam/titanic-ipynb", "kernel_id": "108161343"}, {"ref": "wangechij/judy-wangechi-eda-assignment3", "kernel_id": "108705373"}, {"ref": "charlesnnn/charles-nganga-titanic-eda-project", "kernel_id": "108263265"}, {"ref": "haquee/titanic-problem-submission-by-sam", "kernel_id": "108337833"}, {"ref": "farzanaanjumesha/titanic-survival-prediction-model", "kernel_id": "108711831"}, {"ref": "hivessyb/notebookb5170fefa4", "kernel_id": "108970503"}, {"ref": "varshithyadav01/titanic", "kernel_id": "108545194"}, {"ref": "harukiharada/titanic-voting-classifier-beginner-s-guide", "kernel_id": "108058685"}, {"ref": "tumayturhan/titanic-ml", "kernel_id": "108401993"}, {"ref": "janazahrani/lab002", "kernel_id": "108942706"}, {"ref": "josephnjor/notebook9597858545", "kernel_id": "108632320"}, {"ref": "himanshuiit007/filter-based-feature-selection", "kernel_id": "108599332"}, {"ref": "rutviksuhagiya24/group-4-titanic-machine-learning-from-disaster", "kernel_id": "108815701"}, {"ref": "vaiksyrajput/titanic-disaster-prediction", "kernel_id": "108660374"}, {"ref": "kibekenneth/eda-exploratory-data-analysis", "kernel_id": "108461706"}, {"ref": "polina06132005/titanic", "kernel_id": "108852045"}, {"ref": "yahyakemaluybadin/titanic", "kernel_id": "108982622"}, {"ref": "placidedushimerugaba/supervised-and-unsupervised-machine-learning", "kernel_id": "108616257"}, {"ref": "zeeshanshan/survival-prediction-on-the-titanic-dataset-c2325e", "kernel_id": "108130611"}, {"ref": "ameeramir/survival-prediction-on-the-titanic-dataset", "kernel_id": "108128579"}, {"ref": "ameeramir/survival-prediction-on-the-titanic-dataset-a8b123", "kernel_id": "108130362"}, {"ref": "muhammadijlal061/titanic-survival-prediction", "kernel_id": "108146063"}, {"ref": "fytroy/rodney-roy-gitonga-exploratory-data-analysis", "kernel_id": "108255072"}, {"ref": "namanmittal28/notebook3d8b0d1ee0", "kernel_id": "108767492"}, {"ref": "myopicstargazer/why-you-should-use-a-framework", "kernel_id": "108009540"}, {"ref": "betelhemkebede21/betelhem-kebede-cs-da03-26035-eda", "kernel_id": "108631407"}, {"ref": "saumyakanthariya/lab2-bci-25215011130", "kernel_id": "108677870"}, {"ref": "quintamellisa/quinta-ragalo-titanic-exploratory-data-analysis", "kernel_id": "108460648"}, {"ref": "fatmadefneuur/titanic-dataset-logistic-regression", "kernel_id": "108682304"}, {"ref": "christopher17056/notebook44def30e2f", "kernel_id": "108258631"}, {"ref": "chittranshverma/logistic-regression-1", "kernel_id": "108038791"}, {"ref": "naveen8680/titanic-v3-0", "kernel_id": "108650815"}, {"ref": "lucasrafaelgdolenkei/desafio-titanic-ds-em-12-meses", "kernel_id": "108253291"}, {"ref": "abdulkabir119/notebooke87bb3bcb8", "kernel_id": "108266803"}, {"ref": "harshitagadwe/notebook0755035268", "kernel_id": "108851954"}, {"ref": "maazshaikh05/titanic-machine-learning-from-disaster", "kernel_id": "108894193"}, {"ref": "mehmetkunur/ecs-titanic", "kernel_id": "108156000"}, {"ref": "zainulabideengoya/titanic-competition", "kernel_id": "108351862"}, {"ref": "harshitpatelnvm/titanic-solution-1", "kernel_id": "108885624"}, {"ref": "harshitpatelnvm/titanic-solution-2", "kernel_id": "108964325"}, {"ref": "pratikkengar/demo-project", "kernel_id": "108033799"}, {"ref": "pratikkengar/titanic-survival-prediction", "kernel_id": "108296976"}, {"ref": "mikhailvg/notebook8e4b799dc2", "kernel_id": "108258700"}, {"ref": "enricomoreira/titanic-analysis-pure-python-from-scratch-no-pan", "kernel_id": "108187075"}, {"ref": "larkinkirill/practice4", "kernel_id": "108208673"}, {"ref": "hanhuizhang/titanic-zhh", "kernel_id": "108748417"}, {"ref": "jaydenxie/getting-started-with-titanic", "kernel_id": "108130377"}, {"ref": "poorvabhatt/practical-2", "kernel_id": "108578589"}, {"ref": "nyawinoann/nyawino-ann-eda-assignment", "kernel_id": "108316448"}, {"ref": "anyireugine/cs-da03-26007-titanic-exploratory-analysis", "kernel_id": "108588463"}, {"ref": "joseahmurey/joseah-murey-cs-da03-26033-eda", "kernel_id": "108158242"}, {"ref": "tabithawambui24/tabitha-wambui-eda-assignment-original", "kernel_id": "108340991"}, {"ref": "k41522476/cynthia-kiptoo-eda", "kernel_id": "108446451"}, {"ref": "cassandrakosgei/cassandra-kosgei-exploratory-data-analysis-project", "kernel_id": "108705141"}, {"ref": "gilbertngaruiya/gilbert-ngaruiya-exploratory-data-analysis-titanic", "kernel_id": "108452377"}, {"ref": "thomasragen/thomas-ragen-eda-assignment", "kernel_id": "108381528"}, {"ref": "noahmualuko/noah-mualuko-adc-css02-25081-eda-assignment", "kernel_id": "108555363"}, {"ref": "loiceodhiambo/loice-odhiambo-assignment3-eda", "kernel_id": "108330897"}, {"ref": "kailuoroland/titanic", "kernel_id": "108517785"}, {"ref": "juliahy/titanic-version3", "kernel_id": "108759139"}, {"ref": "juliahy/notebook310903c3a0", "kernel_id": "108757714"}, {"ref": "juliahy/titanic-version4", "kernel_id": "108762144"}, {"ref": "christinemoige/christine-moige-cs-da03-26065-eda-materclass", "kernel_id": "108046514"}, {"ref": "joemuthui/assignment-3-titanic-exploratory-data-analysis", "kernel_id": "108627512"}, {"ref": "rosalynemuchiri/rosalyne-muchiri-titanic-eda-cs-da03-26038", "kernel_id": "108355780"}, {"ref": "sominkim0728/notebookdac2859129", "kernel_id": "108046991"}, {"ref": "davendwiga/dave-ndwiga-cs-da03-26024-week-3-assignment", "kernel_id": "108470531"}, {"ref": "onlyrory88/lab-2", "kernel_id": "108948345"}, {"ref": "esthermbonge/esther-ndinda-eda-assignment-cs-da03-26012", "kernel_id": "108957941"}, {"ref": "himanshukoranga5/titanic-final", "kernel_id": "108081650"}, {"ref": "hasanayyubirahmat/hasannotebookfortitanicstuff", "kernel_id": "108021921"}, {"ref": "tegarrh/titanic-survival-rate", "kernel_id": "108381761"}, {"ref": "aojiis/titanic-randomforestclassifier-1", "kernel_id": "108796988"}, {"ref": "iamsoumil/test-run", "kernel_id": "108060744"}, {"ref": "maxbadding/titanic-3", "kernel_id": "108797077"}, {"ref": "brooksdenson/notebook4dcd22ed6f", "kernel_id": "108258673"}, {"ref": "zanderstupp/notebook08d6f98c2b", "kernel_id": "108258766"}, {"ref": "kyleambrose/notebook-1", "kernel_id": "108258610"}, {"ref": "theosheldon/notebook44b53a6a43", "kernel_id": "108258606"}, {"ref": "eunwoowon/notebook07827355f3", "kernel_id": "108256475"}, {"ref": "oteaton/titanicnotebookaipt2", "kernel_id": "108775125"}, {"ref": "matthewstowe1484/notebook-lab1-titanic", "kernel_id": "108258642"}, {"ref": "brendankunas/notebook775a554c36", "kernel_id": "108258623"}, {"ref": "isaac2027/iw-titanic-ai", "kernel_id": "108258666"}, {"ref": "zachverbrugge/zverbrugge-titanic-notebook-ai2020x", "kernel_id": "108258601"}, {"ref": "benettrickels/notebookf243385c1a", "kernel_id": "108258604"}, {"ref": "brodystobart/notebook21cdcd2c5f", "kernel_id": "108258607"}, {"ref": "jaydont55/jaydon-titanic", "kernel_id": "108256579"}, {"ref": "bradyschulz/titanic-new-versionb7ca3c4570", "kernel_id": "108268820"}, {"ref": "hannasteffen/notebook3c774cf81d", "kernel_id": "108258675"}, {"ref": "maddoxelliott1/notebooke9f2e5c149", "kernel_id": "108258620"}, {"ref": "swadeshreddy/notebook75599c0a8f", "kernel_id": "108258688"}, {"ref": "jaredlynn/notebook9f24c766f9", "kernel_id": "108544102"}, {"ref": "rosaleighn/titanic-disaster-nov", "kernel_id": "108729299"}, {"ref": "phille0611/notebook7497eeea72", "kernel_id": "108796045"}, {"ref": "javierhurtado25/notebook4c43c133b5", "kernel_id": "108258638"}, {"ref": "joedeprey/joe-deprey-titanic", "kernel_id": "108256387"}, {"ref": "kadenortiz/notebook6b42f9833c", "kernel_id": "108258802"}, {"ref": "baohanphan/notebook6c46169eee", "kernel_id": "108789337"}, {"ref": "grahamwalstrom/graham-first-kaggle", "kernel_id": "108258600"}, {"ref": "tylerclaiborne9/titanic-fist-submission", "kernel_id": "108257507"}, {"ref": "nayks77/lab-1-ai2010-first-kaggle-titanic-nay-soe", "kernel_id": "108258681"}, {"ref": "gabyestabrook/notebookddd85b4612", "kernel_id": "108273114"}, {"ref": "biswaskhatiwada07/notebookeec59f586a", "kernel_id": "108274443"}, {"ref": "ryansutthoffpea/exercise-arithmetic-and-variables", "kernel_id": "108103446"}, {"ref": "muhammadusmankhan0/titanic-survival-prediction", "kernel_id": "108757795"}, {"ref": "agnetaatieno/eda-of-titanic-dataset-agneta-atieno", "kernel_id": "108768561"}, {"ref": "joshuadahlheimer/notebook1d96062b32", "kernel_id": "108258654"}, {"ref": "zarathomas16/notebook11bbf6b265", "kernel_id": "108258670"}, {"ref": "tyleranderson07/titanic-survival-notebook", "kernel_id": "108256107"}, {"ref": "joeybrekelmans/notebookcf2ee0976e", "kernel_id": "108258660"}, {"ref": "triggsteenhoek/notebook0024c83c3e", "kernel_id": "108258701"}, {"ref": "lawsonport/titanic-notebook-ai-class", "kernel_id": "108271355"}, {"ref": "winchuanooi/notebook38e349fef3", "kernel_id": "108273062"}, {"ref": "troylehman/notebook13d4097153", "kernel_id": "108274425"}, {"ref": "paceybogue/notebook405b1ad1f2", "kernel_id": "108273032"}, {"ref": "aishacmohamed/notebooke2575f34ad", "kernel_id": "108273089"}, {"ref": "cmarx3/ai-lab-1-titanic", "kernel_id": "108273140"}, {"ref": "hanskraus/notebook7c306108ea", "kernel_id": "108274369"}, {"ref": "kadenradcliff/notebook2486002b9a", "kernel_id": "108273124"}, {"ref": "jacknorby/notebooka026e45432", "kernel_id": "108273092"}, {"ref": "angjowee/notebook2386207aa2", "kernel_id": "108273068"}, {"ref": "avaphan/notebookdf15f9679e", "kernel_id": "108273199"}, {"ref": "emilyfernandez06/notebook4d344cc41e", "kernel_id": "108273125"}, {"ref": "nicolejohn5on/notebook14a176e3c9", "kernel_id": "108274784"}, {"ref": "zachdahl1/notebookf4bff11210", "kernel_id": "108274484"}, {"ref": "timbennett1/notebook8388c5ac1d", "kernel_id": "108273193"}, {"ref": "carsonkleppe/notebook7b5960c811", "kernel_id": "108274866"}, {"ref": "catherinestraus/notebook8a59dbbe80", "kernel_id": "108274137"}, {"ref": "catherinestraus/notebook112529dcc9", "kernel_id": "108273040"}, {"ref": "annadavis96/notebook29276f94a5", "kernel_id": "108273053"}, {"ref": "anishreddynukala/notebook714fbefd55", "kernel_id": "108273152"}, {"ref": "shivadharm/notebookdfa8403ea7", "kernel_id": "108273238"}, {"ref": "dyllanspooner/notebook1c32465677", "kernel_id": "108273261"}, {"ref": "hugoaaronramirez/notebook57f201aa95", "kernel_id": "108274670"}, {"ref": "jacoboneill088/notebookb7392180da", "kernel_id": "108273497"}, {"ref": "nathanieldrong/notebook73d1779f71", "kernel_id": "108273257"}, {"ref": "reecepackard/notebook1f0bcfe74a", "kernel_id": "108274308"}, {"ref": "prajwalreddy06/notebook5b2c253993", "kernel_id": "108273880"}, {"ref": "craigliggett/notebook9087d722db", "kernel_id": "108273371"}, {"ref": "isaiahstotts/getting-started-with-titanic-ai", "kernel_id": "108273940"}, {"ref": "aaronprinsen1/notebook9a590e52f1", "kernel_id": "108275855"}, {"ref": "aidanfechter2/notebookb05df586f8", "kernel_id": "108275256"}, {"ref": "willpeyer/notebook399d901847", "kernel_id": "108273696"}, {"ref": "adamkchristenson/notebook128a3de7de", "kernel_id": "108275513"}, {"ref": "uuname/notebook16ca4fca58", "kernel_id": "108670376"}, {"ref": "kyoka616/notebook495ccb6f58", "kernel_id": "108579601"}, {"ref": "willvla/notebookf5a83ab51a", "kernel_id": "108359287"}, {"ref": "romchatina/my-first-test-solution-on-kaggle-with-gemini-3", "kernel_id": "108450066"}, {"ref": "aanyash/historical-survival-estimation-on-the-titanic", "kernel_id": "108544082"}, {"ref": "tanishamagikar/getting-started-with-titanic", "kernel_id": "108417892"}, {"ref": "gracewambura/masterclass-1-a-comprehensive-guide-for-eda", "kernel_id": "108772300"}, {"ref": "jawaheralzahrani1993/titanic-data-science-solutions", "kernel_id": "108854849"}, {"ref": "andreastziakouris/titanic-attempt-xgboost", "kernel_id": "108635436"}, {"ref": "cqh123/notebook37ee05dcdb", "kernel_id": "108462521"}, {"ref": "glyzelcapillo/capillo-group10-fa2", "kernel_id": "108462544"}, {"ref": "ahadnoor/exercise-arithmetic-and-variables", "kernel_id": "108480861"}, {"ref": "recepkrbl/titanik-z-m-denemesi", "kernel_id": "108553414"}, {"ref": "osamaalshehri5/titanic-data-science-solutions", "kernel_id": "108559006"}, {"ref": "buddhima0000l/getting-started-with-titanic", "kernel_id": "108697488"}, {"ref": "buddhima0000l/exercise-arithmetic-and-variables", "kernel_id": "108696031"}, {"ref": "ryoskenit/titanic-start", "kernel_id": "108703339"}, {"ref": "gabrielaraujo43/getting-started-with-titanic", "kernel_id": "108705807"}, {"ref": "bodiewagoner/titanic", "kernel_id": "108714998"}, {"ref": "blakeowens/getting-started-with-titanic", "kernel_id": "108722751"}, {"ref": "duyutong2026/highest-ml", "kernel_id": "108740418"}, {"ref": "nathanimig/getting-started-with-titanic-nathan-imig", "kernel_id": "108785196"}, {"ref": "sultanmohiuddinshaik/titanic-data-science-solutions", "kernel_id": "108798342"}, {"ref": "jenadang2010/exercise-arithmetic-and-variables", "kernel_id": "108858550"}, {"ref": "gopal1035/titanic-eda-minimal", "kernel_id": "108905062"}, {"ref": "gopal1035/titanic-minimal-eda-logistic-regression-beginn", "kernel_id": "108910495"}, {"ref": "nafeezahamedmohamed/titanic-data-science-solutions-9b2555", "kernel_id": "108923693"}, {"ref": "cemreozgules/exercise-arithmetic-and-variables", "kernel_id": "108988155"}, {"ref": "sescapa/titanic-project-uploaded-from-local", "kernel_id": "109480124"}, {"ref": "narottaman/titanic-data-science-solutions", "kernel_id": "109197756"}, {"ref": "godsesaurab/function-based-approach", "kernel_id": "109733051"}, {"ref": "aravindgshanthi/titanic-ml-learning-practice", "kernel_id": "109586746"}, {"ref": "inesbelaaj/machine-learning-project", "kernel_id": "109692651"}, {"ref": "prempagare/problem2-improve", "kernel_id": "109113154"}, {"ref": "prempagare/problem2-reproduce", "kernel_id": "109100673"}, {"ref": "alexeygorbunov12133/notebook17791088d6", "kernel_id": "109069287"}, {"ref": "carloscll/titanic-baseline", "kernel_id": "109430208"}, {"ref": "kaustubhpethe/random-forest-based-submissions", "kernel_id": "109135448"}, {"ref": "shrinithyam/question2-p2", "kernel_id": "109105949"}, {"ref": "shrinithyam/question2", "kernel_id": "109104682"}, {"ref": "emrebaranarca/who-live-titanic", "kernel_id": "109479171"}, {"ref": "sasha1111/titanic-survival-eda-feature-engineering-nn", "kernel_id": "109590259"}, {"ref": "suhanigupta04/titanic-ml-random-forest", "kernel_id": "109463930"}, {"ref": "shreyav27/titanic-code-shreya", "kernel_id": "109093682"}, {"ref": "profodonnell/example-from-class-20260216", "kernel_id": "109646716"}, {"ref": "profodonnell/titanic-starter-code", "kernel_id": "109247623"}, {"ref": "rostyslavm/titanic-rm", "kernel_id": "109692728"}, {"ref": "donaldmutai/titanic-eda", "kernel_id": "109214549"}, {"ref": "guneetsinghbagga/random-forest-vs-logistic-regression", "kernel_id": "109663383"}, {"ref": "aalahamwi/titanic-survival-analysis-first-project", "kernel_id": "109620721"}, {"ref": "patrycjagociniak/titanic-survival-prediction-eda-cv-fine-tuning", "kernel_id": "109520721"}, {"ref": "betagammashtrit/catboost-first", "kernel_id": "109721575"}, {"ref": "yangtengze/version-2", "kernel_id": "109430866"}, {"ref": "birolocal/titanic-survival-prediction", "kernel_id": "109630697"}, {"ref": "dungz878/titanic-model", "kernel_id": "109807517"}, {"ref": "emranalbiek/titanic-machine-learning-from-disaster", "kernel_id": "109126395"}, {"ref": "meckvenance/titanic-one-feature-unlocks-the-key-to-survival", "kernel_id": "109683600"}, {"ref": "srshankar/exercise-arithmetic-and-variables", "kernel_id": "109147845"}, {"ref": "gehadabdulaziz/titanic-ml", "kernel_id": "109266053"}, {"ref": "aleksandra679/titanic", "kernel_id": "109021877"}, {"ref": "kshah146/titanic-data-science-solutions", "kernel_id": "109068482"}, {"ref": "ishitabahamnia/titanic-machine-learning-from-disaster-notebook", "kernel_id": "109700070"}, {"ref": "mrnikel/1-titanic-logistic-regression", "kernel_id": "109120861"}, {"ref": "jaybright/titanic-simplest", "kernel_id": "109126573"}, {"ref": "tawhidrahman292/my-first-ml-competition", "kernel_id": "109371788"}, {"ref": "magdalenabomak/exercise-arithmetic-and-variables", "kernel_id": "109984715"}, {"ref": "magdalenabomak/titanic-predictions", "kernel_id": "109994477"}, {"ref": "aminebcf/titanicdataset", "kernel_id": "109371864"}, {"ref": "zarinakerimalieva/neurofibromatosis-dataset-analysis", "kernel_id": "109220202"}, {"ref": "shamsmagdy12/titanic-logistic", "kernel_id": "109373214"}, {"ref": "aaavia/vian-yeh-hw1-titanic", "kernel_id": "109093929"}, {"ref": "fatihpython/titanicfa", "kernel_id": "109545508"}, {"ref": "nishu65/titanic", "kernel_id": "109096898"}, {"ref": "nishu65/titanic-blend", "kernel_id": "109469139"}, {"ref": "nishu65/cat-titanic", "kernel_id": "109474521"}, {"ref": "deepikaahegde/competition-titanic-ml-from-disaster", "kernel_id": "109308870"}, {"ref": "nithinsanjeev/titanic-survival-analysis", "kernel_id": "109269577"}, {"ref": "ms0303/kaggle", "kernel_id": "109762241"}, {"ref": "saurabh0904/notebook3bae11678c", "kernel_id": "109319352"}, {"ref": "pateldarshil44/feature-selection-filtermethod", "kernel_id": "109965643"}, {"ref": "gabriel17d/titanic-logregression-0-78229-score", "kernel_id": "109612471"}, {"ref": "jayanthreddykonda/titanic-survival", "kernel_id": "109614337"}, {"ref": "joanjebiwot/joan-kurui-assignment3-eda-cs-da03-26059", "kernel_id": "109031116"}, {"ref": "joanjebiwot/joan-kurui-eda-assignment-cs-da03-26059", "kernel_id": "109025291"}, {"ref": "ramezmalak/titanic-dataset", "kernel_id": "109722233"}, {"ref": "shawalkhan09/ml-lab-day-7-16th-feb-2026", "kernel_id": "109600517"}, {"ref": "mytalkwithyou/exercise-arithmetic-and-variables", "kernel_id": "109330405"}, {"ref": "franciswaruikamande/francis-warui-cs-da02-25077-edaa", "kernel_id": "109068426"}, {"ref": "rutulpatel196/titanic-data-science-solutions", "kernel_id": "109071040"}, {"ref": "yiitbatbalta/t-tan-c-data-sc-ence", "kernel_id": "109063050"}, {"ref": "esmanurozcelik/survive", "kernel_id": "109533422"}, {"ref": "zumermalik/titanic-rmd-script", "kernel_id": "109838554"}, {"ref": "zumermalik/titanic-ml-r", "kernel_id": "109849533"}, {"ref": "mayanktiwari18/titanic-prediction", "kernel_id": "109027308"}, {"ref": "fmusau/cs-da02-25017-eda-francis-musau", "kernel_id": "109598228"}, {"ref": "harshitagadwe/notebookdb4ae75fff-c6a8cf", "kernel_id": "109703163"}, {"ref": "harshitagadwe/notebook56467decab", "kernel_id": "109703478"}, {"ref": "mercantl/titanic-ann-and-randomforestclassifier", "kernel_id": "109068654"}, {"ref": "dangnguyenbinhan/titanic-survival-analysis-competitive", "kernel_id": "109005287"}, {"ref": "anujsharma2004/titanic-project-code", "kernel_id": "109599346"}, {"ref": "yashpardeshi28/titanic-survival-prediction-project", "kernel_id": "109603211"}, {"ref": "mailey4092/praktika6", "kernel_id": "109564141"}, {"ref": "mailey4092/praktika4", "kernel_id": "109562157"}, {"ref": "larkinkirill/practice3", "kernel_id": "109980514"}, {"ref": "larkinkirill/practice6", "kernel_id": "109991171"}, {"ref": "larkinkirill/practice5", "kernel_id": "109989598"}, {"ref": "grcanuru/titanic-eda", "kernel_id": "109762174"}, {"ref": "aldojimnezrodrguez/titanic-prediction", "kernel_id": "109346992"}, {"ref": "emrezorlu1239/titanic-competition", "kernel_id": "109672538"}, {"ref": "winfredoduor/winfred-achieng-a-comprehensive-guide-for-eda", "kernel_id": "109131057"}, {"ref": "judithkiprono/judithj-kiprono-eda-assighnment", "kernel_id": "109039507"}, {"ref": "maazali04/titanic-notebook", "kernel_id": "109305343"}, {"ref": "anshios/titanic-data-exploration-randomforestmodel-weights", "kernel_id": "109327642"}, {"ref": "dyutim/data-mining-hw2-1232833006", "kernel_id": "109090871"}, {"ref": "dyutim/notebookac024704e8", "kernel_id": "109091244"}, {"ref": "tehreemamjad381/exercise-arithmetic-and-variables", "kernel_id": "109531126"}, {"ref": "yashthakur0611/python-basics", "kernel_id": "109782772"}, {"ref": "recepkrbl/titan-v1", "kernel_id": "109383790"}, {"ref": "suhairsamuels/titanic-notebook", "kernel_id": "109093895"}, {"ref": "abhithejreddy/titanic", "kernel_id": "109647248"}, {"ref": "c0dingf1sh/titanic-model-2-5-withpipeline", "kernel_id": "109298395"}, {"ref": "alkakumari1234/titanic-survival-prediction-beginner-friendly", "kernel_id": "109043348"}, {"ref": "mohammedelmezoghi/titanic-predictions", "kernel_id": "109647146"}, {"ref": "idasr21/lab-1", "kernel_id": "109250898"}, {"ref": "fengzhangtang/titanic-data-science-solutions-c11e8e", "kernel_id": "109106389"}, {"ref": "akashjayasankar1309/data-mining-hw-1-p2q1", "kernel_id": "109085200"}, {"ref": "shqshie/titanic-data-science-solutions-shashank-version", "kernel_id": "109100548"}, {"ref": "krupalp10/titanic-data-science-solutions", "kernel_id": "109104085"}, {"ref": "ancitania/datamining-hw1-p2q1", "kernel_id": "109105811"}, {"ref": "vaibhavpant07/titanic-survival-prediction-eda-and-baseline-log", "kernel_id": "109129820"}, {"ref": "ddesdenae/competition-titanic-ml-from-disaster", "kernel_id": "109260288"}, {"ref": "carlossobreiro/titanic-sobreiro", "kernel_id": "109413636"}, {"ref": "deniseprezgarca/notebook-denise", "kernel_id": "109715019"}, {"ref": "ghorabae/1121-exercise-arithmetic-and-variables1-1-12", "kernel_id": "109351836"}, {"ref": "meldakahraman/notebook4be5a6e4ef", "kernel_id": "109370760"}, {"ref": "jonathannnsam/machine-learning-practice", "kernel_id": "109393211"}, {"ref": "sabzalisabzov/exercise-arithmetic-and-variables", "kernel_id": "109400562"}, {"ref": "aufar007/tugas-titanic", "kernel_id": "109441588"}, {"ref": "marrissasyokwaa/titaniceda-marrissasyokwaa", "kernel_id": "109670752"}, {"ref": "kenzenk1ongorong/2902702523-kenzen", "kernel_id": "109600939"}, {"ref": "udoytitusrebeiro/titanicdemo", "kernel_id": "109765037"}, {"ref": "chaitanyajamble/exercise-arithmetic-and-variables", "kernel_id": "109789362"}, {"ref": "mrp00l/duelo-de-modelos", "kernel_id": "109941780"}, {"ref": "mstege/titanic-survival-rate-prediction", "kernel_id": "109994527"}, {"ref": "erikvdven/messing-around-with-fastai-titanic-edition", "kernel_id": "110364316"}, {"ref": "ishwor2048/beginner-friendly-titanic-eda-and-machine-learning", "kernel_id": "110593488"}, {"ref": "yunshinlee/2026-kmba-business-analytics-template", "kernel_id": "110697732"}, {"ref": "yunshinlee/2026-glp-business-analytics", "kernel_id": "110697923"}, {"ref": "yunshinlee/2026-kaist-emba-business-analytics", "kernel_id": "110697947"}, {"ref": "amaurylc/titanic-group-survival-ensemble", "kernel_id": "110512994"}, {"ref": "jesusnieto/titanic-logisticregression-baseline", "kernel_id": "110070679"}, {"ref": "drmurataltun/titanik-yar-mas-mart-2026", "kernel_id": "110348878"}, {"ref": "dzehtsiarou/aif-titanic-mps-surprisal-minimization", "kernel_id": "110126171"}, {"ref": "a7madmostafa/titanic-data-exploration-cleaning", "kernel_id": "110912113"}, {"ref": "nebnie/random-forest-xgboost-testing", "kernel_id": "110041290"}, {"ref": "aurafrizzati/titanic-classic-competition", "kernel_id": "110366645"}, {"ref": "jagrutiyuvrajdhangar/titanic-ml-pipeline", "kernel_id": "110492914"}, {"ref": "youssefmohhaj89/titanic-classification-competition", "kernel_id": "110794482"}, {"ref": "umershahzad12/lab1-kaggle", "kernel_id": "110000007"}, {"ref": "magnifier/notebookb786c991f7", "kernel_id": "110817751"}, {"ref": "fammss/titanic", "kernel_id": "110640866"}, {"ref": "anindyaroechowdhury/titanic", "kernel_id": "110454593"}, {"ref": "seemskaggle/titanic-first-save", "kernel_id": "110091374"}, {"ref": "mohammadriead/clt-in-titanic", "kernel_id": "110102273"}, {"ref": "giovannonathaniel/titanic-giovanno-nathaniel", "kernel_id": "110500756"}, {"ref": "priyaa22/titanic-prediction", "kernel_id": "110938660"}, {"ref": "debanganghosh/titanic-86-accuracy-feature-engg-visual-eda", "kernel_id": "110859781"}, {"ref": "maryamskaik/titanic-data-cleaning-eda", "kernel_id": "110928556"}, {"ref": "zahramollaey/titanic", "kernel_id": "110304575"}, {"ref": "femaledeveloper/eda-assignment", "kernel_id": "110835187"}, {"ref": "aroojfatima04/titanic-survival-prediction", "kernel_id": "110181687"}, {"ref": "saniya010101/logisticregression-on-titanic-dataset-for-beginner", "kernel_id": "110985280"}, {"ref": "olzhaskolzhabay/exploratory-data-analysis-and-classification", "kernel_id": "110089574"}, {"ref": "vasilenaadamova/titanic-lab-1", "kernel_id": "110443521"}, {"ref": "earnestgomer/exercise-arithmetic-and-variables", "kernel_id": "110280515"}, {"ref": "gleblastbread/titanic-super-model", "kernel_id": "110741029"}, {"ref": "gleblastbread/titanic-only-names", "kernel_id": "110731764"}, {"ref": "hseyin123987/random-forest-optimization-for-titanic-dataset", "kernel_id": "110653251"}, {"ref": "avadhutaminbhavi/titanic-tutorial", "kernel_id": "110001699"}, {"ref": "chirag6668/titanic-beginners", "kernel_id": "110815892"}, {"ref": "elieinunu/projet-titanic", "kernel_id": "110784901"}, {"ref": "arslanrejepov/svmclass", "kernel_id": "110721393"}, {"ref": "syedhasan2302935/assignment-2-titanic", "kernel_id": "110266944"}, {"ref": "vengateshvengat/titanic-predictions", "kernel_id": "110094760"}, {"ref": "ekremkutukculer/titanic-survival-predict", "kernel_id": "110626355"}, {"ref": "rragul2004/titanic-survival-prediction-random-forest", "kernel_id": "110435360"}, {"ref": "kagglegau/practice-notebook-titanic-dataset", "kernel_id": "110343418"}, {"ref": "kazuhiroyogo/titanic-sample-kazuhiro4", "kernel_id": "110044153"}, {"ref": "amanbaghel17/exercise-arithmetic-and-variables", "kernel_id": "110215455"}, {"ref": "asepeabolade/authentic-titanic-entry", "kernel_id": "110995028"}, {"ref": "ayaanmodak/titanic-without-pipeline-model", "kernel_id": "110606173"}, {"ref": "jatinkarma/titanic", "kernel_id": "110266770"}, {"ref": "zekeriyakaanbolat/titanic-veri-analizi", "kernel_id": "110837682"}, {"ref": "sohaibdevv/titanic-survival-analytics-pipeline", "kernel_id": "110626185"}, {"ref": "mrivera2803/titanic-code", "kernel_id": "110199367"}, {"ref": "raynaldyu/titanic-problem", "kernel_id": "110839586"}, {"ref": "harshitpatelnvm/titanic-solution-3", "kernel_id": "110245829"}, {"ref": "hideos/titanic-with-kaggle-intermediate-ml-techniques", "kernel_id": "110350249"}, {"ref": "hideos/titanic-learning-with-randomforestclassifier", "kernel_id": "110192486"}, {"ref": "retall3bbadii/notebooke97d6cb28f", "kernel_id": "110352121"}, {"ref": "tiukit/tieuminhkiet", "kernel_id": "110823563"}, {"ref": "kemaldemirba/titanic-a-2026-deep-learning-perspective", "kernel_id": "110611784"}, {"ref": "joanruiz07/titanic-randomforestclassifier", "kernel_id": "110333714"}, {"ref": "sueleensais/titanic-baseline", "kernel_id": "110004801"}, {"ref": "abjh3638/titanic-ensemble-model-knn-lightgbm", "kernel_id": "110966288"}, {"ref": "janaghazzawi/lab01", "kernel_id": "110365086"}, {"ref": "krishnakoumudi/titanic-model", "kernel_id": "110629144"}, {"ref": "aydinegitmen/titanic-notebook", "kernel_id": "110348929"}, {"ref": "divyamarati91/titanic-prediction", "kernel_id": "110977610"}, {"ref": "jaydinnowak/dsc783-titanic-assignment2", "kernel_id": "110199405"}, {"ref": "purvimerchant/titanic-disaster-purvi-merchant", "kernel_id": "110277648"}, {"ref": "kalyanivenkatagorli/titanic-updated-pipeline-assignment", "kernel_id": "110398656"}, {"ref": "akhilareddy5678/titanic-competition", "kernel_id": "110451748"}, {"ref": "unknownshaistazainab/titanic", "kernel_id": "110969034"}, {"ref": "ibrahimblal001/notebookd334d62740", "kernel_id": "110018955"}, {"ref": "elifparldar/titanik-yar-mas", "kernel_id": "110348887"}, {"ref": "iclalaydn/titanic-survival-prediction-randomforestclassifier", "kernel_id": "110107226"}, {"ref": "huynhnhutran/house-price-template8c3b21ec7e", "kernel_id": "110035293"}, {"ref": "sutters/exercise-arithmetic-and-variables", "kernel_id": "110721971"}, {"ref": "shvachko/study-titanic", "kernel_id": "110154018"}, {"ref": "gunavardhanavamsi/titanicdatasetcompetition", "kernel_id": "110726542"}, {"ref": "zidankazali84/getting-started-menerawang-with-titanic", "kernel_id": "110027064"}, {"ref": "deborahkanu/titanic-survival-prediction-logistic-regression", "kernel_id": "110657588"}, {"ref": "hagora22/titanic-dataset", "kernel_id": "110106088"}, {"ref": "darnellewidjaya/darnelletitanic", "kernel_id": "110233360"}, {"ref": "edrichpasaka/titanic-dataset", "kernel_id": "110236640"}, {"ref": "fauziyyahayudwinuha/latihan-1-nh", "kernel_id": "110279887"}, {"ref": "rifat2002/titanc-eda-processing", "kernel_id": "110921777"}, {"ref": "lotusrisenithish/titanic-survival-prediction-using-machine-learning", "kernel_id": "110326804"}, {"ref": "rajavad/raja-dscience-1", "kernel_id": "110557364"}, {"ref": "sheannn78/titanicmlrep", "kernel_id": "110561241"}, {"ref": "hauraalya/submission-titanic-final", "kernel_id": "110616778"}, {"ref": "clebersonflores/an-lise-explorat-ria-de-dados-titanic", "kernel_id": "110942822"}, {"ref": "jinheekim4747/notebooka516dff3bd", "kernel_id": "110743079"}, {"ref": "joyruth/exercise-arithmetic-and-variables", "kernel_id": "110734945"}, {"ref": "pachamat06/eda-exercises-python-kaggle", "kernel_id": "110820149"}, {"ref": "ayoubelmarhraoui/titanic-machine-learning-from-disaster", "kernel_id": "110878768"}, {"ref": "hiromatsu37/titanic-breakthrough-0-80-score", "kernel_id": "110951973"}, {"ref": "siddiqueakbar786/akbar-v1-top83", "kernel_id": "110968719"}, {"ref": "szlevente/titanic-simple-wins", "kernel_id": "111758784"}, {"ref": "leparalamapara/ubunye-engine-titanic-usecase-example", "kernel_id": "111278326"}, {"ref": "sukyakura/notebookdd121f938c", "kernel_id": "111633794"}, {"ref": "lorenzoscaturchio/titanic-ml-guide-zero-to-top-5-accuracy", "kernel_id": "111092473"}, {"ref": "jesusnieto/titanic-logisticregresession-cv-en", "kernel_id": "111522465"}, {"ref": "a7madmostafa/titanic-eda-cleaned-data", "kernel_id": "111091424"}, {"ref": "sagniksen3025/exercise-arithmetic-and-variables", "kernel_id": "111384059"}, {"ref": "ameythakur20/titanic-passenger-survival-prediction", "kernel_id": "111280435"}, {"ref": "mohammedsalem2011/titanic-data-analysis", "kernel_id": "111868683"}, {"ref": "shanujyamishra/titanic-dataset-eda-fe-modelling", "kernel_id": "111457927"}, {"ref": "sofiagilka/titanic-step-by-step-for-beginners", "kernel_id": "111255138"}, {"ref": "cansugrcan/titanic-yar-mas", "kernel_id": "111078367"}, {"ref": "maurocamporeale/lezione-pratico-teorica-ml", "kernel_id": "111759729"}, {"ref": "nandakishorereddy1/d1p2-titanic-survival-prediction", "kernel_id": "111697226"}, {"ref": "devendrarajpurohit58/independent-t-test-titanic-dataset", "kernel_id": "111307342"}, {"ref": "devendrarajpurohit58/t-test-for-hypothesis-testing", "kernel_id": "111236024"}, {"ref": "koipero/titanic-advanced-feature-engineering-stacking", "kernel_id": "111158016"}, {"ref": "ahmedsamirzzzzzzzz/titanic-data-exploration-cleaning", "kernel_id": "111610362"}, {"ref": "onya31/titanic-prediction-0-794-score", "kernel_id": "111546234"}, {"ref": "adrinpineda/piotesseron-vs-machine-learning", "kernel_id": "111644496"}, {"ref": "robinhuang87/titanic-model-2", "kernel_id": "111372609"}, {"ref": "aryannegi93/beginner-friendly-titanic-eda-and-machine-learning", "kernel_id": "111557478"}, {"ref": "hopcos/titanic-practice", "kernel_id": "111588046"}, {"ref": "yusufmurtaza01/titanic-complete-eda-tutorial", "kernel_id": "111700171"}, {"ref": "yusufmurtaza01/titanic-complete-ml-tutorial", "kernel_id": "111745576"}, {"ref": "omkarkashid1168/titanic-survival-prediction", "kernel_id": "111734656"}, {"ref": "arseniikryvogubchenko/lw-1-mlaida", "kernel_id": "111871715"}, {"ref": "varchaswashukla/titanic-eda-survival-analysis", "kernel_id": "111987235"}, {"ref": "joseluisavila1/notebook-prueba2", "kernel_id": "111686426"}, {"ref": "joseluisavila1/notebook-jlavila-titanic", "kernel_id": "111682496"}, {"ref": "aishwinanainwal/test-run", "kernel_id": "111334575"}, {"ref": "jasonloiii/exercise-ml-week4", "kernel_id": "111222268"}, {"ref": "za1dk1ng/auto-training-titanic", "kernel_id": "111336468"}, {"ref": "akithmathewanjee/titanic-survival-prediction-using-machine-learning", "kernel_id": "111593402"}, {"ref": "maheshskale/titanic-ml-competition", "kernel_id": "111465436"}, {"ref": "bhavishyagoyan/titanicbg-learner", "kernel_id": "111473668"}, {"ref": "sydneyakundolima/eda-and-titanic-predictions", "kernel_id": "111685334"}, {"ref": "marcusthum/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "111227603"}, {"ref": "marcusthum/cp3501-prac-06-task-03-space-titanic", "kernel_id": "111232660"}, {"ref": "marcusthum/fastai-lesson-5b-use-a-framework", "kernel_id": "111231698"}, {"ref": "marcusthum/how-random-forests-really-work", "kernel_id": "111812923"}, {"ref": "sadiaq184/titanic-eda", "kernel_id": "111316263"}, {"ref": "renanbragac/titanic-prediction-model-randomforestclassifier", "kernel_id": "111482099"}, {"ref": "yumekohata/titanic", "kernel_id": "111102743"}, {"ref": "ahmedyasinbayndr/whowantssstobebestml", "kernel_id": "111381733"}, {"ref": "asmitarawat05/eda-on-titanic-dataset", "kernel_id": "111378519"}, {"ref": "alii33000/tugas-titanic", "kernel_id": "111662623"}, {"ref": "mitgajera/filter-based-feature-selection", "kernel_id": "111172628"}, {"ref": "arkavk/deepsink-ai-first-time-no-tutorial", "kernel_id": "111197756"}, {"ref": "ps312005/titanic-survival-prediction", "kernel_id": "111574021"}, {"ref": "irasharma1/notebookf6959967c5", "kernel_id": "111349273"}, {"ref": "yarukikun/titanic-yama", "kernel_id": "111703362"}, {"ref": "kazuhiroyogo/titanic-sample-kazuhiro6", "kernel_id": "111391185"}, {"ref": "kazuhiroyogo/titanic-sample-kazuhiro5", "kernel_id": "111390201"}, {"ref": "kazuhiroyogo/titanic-sample-kazuhiro7", "kernel_id": "111849598"}, {"ref": "soichiroshido/titanic-tutorial", "kernel_id": "111701883"}, {"ref": "mohityadav7688/notebook5d2f99adf7", "kernel_id": "111808571"}, {"ref": "prathameshsomani/titanic-eda-pandas-seaborn", "kernel_id": "111273385"}, {"ref": "hosseinbadrnezhad/titanic-randomforestclassifier", "kernel_id": "111349532"}, {"ref": "kochergaeq/titanic-survival-prediction-random-forest", "kernel_id": "111666845"}, {"ref": "szgnnn/titanic-by-szgn", "kernel_id": "111012720"}, {"ref": "lindseiwalsh1019/dsc783-assignment2-titanic-walsh", "kernel_id": "111009999"}, {"ref": "demirkadir04/graphic-patterns-practise", "kernel_id": "111091019"}, {"ref": "rommelsharma/titanic-predictor-nelder-mead-optimised-weights", "kernel_id": "111205776"}, {"ref": "rommelsharma/titanic-machine-learning-lr-rf-xgb-lgb-gbm", "kernel_id": "111238426"}, {"ref": "cuixinyang/titanic", "kernel_id": "111260368"}, {"ref": "jiiiinny/notebookf6624273da", "kernel_id": "111221276"}, {"ref": "ayi4049/test-titanic-tutorial", "kernel_id": "111208188"}, {"ref": "soniyapal2345453465/titanic-project-final-v1", "kernel_id": "111378906"}, {"ref": "ngatruonng/session-5", "kernel_id": "111728940"}, {"ref": "weiliangli3501/week6-task1", "kernel_id": "111727527"}, {"ref": "zaikunzheng/fastai-lesson-5b-use-a-framework", "kernel_id": "111878862"}, {"ref": "zaikunzheng/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "111872728"}, {"ref": "guanyulujcu/cp3501-week6-task2", "kernel_id": "111749792"}, {"ref": "guanyulujcu/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "111743607"}, {"ref": "haoyaoli/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "111954164"}, {"ref": "haoyaoli/taitanic", "kernel_id": "111970234"}, {"ref": "markusmartsepp/notebook9d11e9db26", "kernel_id": "111418936"}, {"ref": "divyamarati91/titanic-competition", "kernel_id": "111074298"}, {"ref": "divyamarati91/machine-learning-titanic", "kernel_id": "111047445"}, {"ref": "andreafarinella/notebook6862a3e415", "kernel_id": "111016789"}, {"ref": "kirillstrelkov96/titanic-catboost-solution", "kernel_id": "111642427"}, {"ref": "malikevans/notebook750bc954a7", "kernel_id": "111252664"}, {"ref": "rifat2002/exercise-final-project", "kernel_id": "111651388"}, {"ref": "datawithusman/titanic-survival-prediction-beginner-ml-project", "kernel_id": "111327889"}, {"ref": "arkanzahir/titanic-complete-eda-prediction-pipeline", "kernel_id": "111222404"}, {"ref": "liu1002/notebookd331692a98", "kernel_id": "111460161"}, {"ref": "aysesever/titaniceda", "kernel_id": "111001456"}, {"ref": "shahbaza975/titanic-beginner-test", "kernel_id": "111071991"}, {"ref": "nirmalyapaul/exercise-arithmetic-and-variables", "kernel_id": "111033916"}, {"ref": "dyg0fts/japanese-begginer", "kernel_id": "111224679"}, {"ref": "jebetvicky/vicky-jebet-id-cs-da03-26062-titanic-eda", "kernel_id": "111385367"}, {"ref": "falrlz/titanic-survival-prediction-eda-to-optimization", "kernel_id": "111500119"}, {"ref": "henrylin0117/a-simple-logistic-regression-for-titanic-dataset", "kernel_id": "111121539"}, {"ref": "carolynacuna/titanic-rg", "kernel_id": "111209567"}, {"ref": "karnutkarsh/titanic-dataset-exploratory-data-analysis", "kernel_id": "111461793"}, {"ref": "emanejaz1q/iris-knn-assignment-1", "kernel_id": "111282976"}, {"ref": "asad229/exercise-arithmetic-and-variables", "kernel_id": "111346979"}, {"ref": "sydneydeb/titanic-data-set-analysis", "kernel_id": "111434126"}, {"ref": "egorzasmuzhets04/titanic-dataset-notebook", "kernel_id": "111395392"}, {"ref": "jennifersekyi/initial-analysis-and-model-comparison", "kernel_id": "111525074"}, {"ref": "krishnapatilrajput/titanic-survival-prediction-first-submission", "kernel_id": "111475608"}, {"ref": "krishnapatilrajput/from-developer-to-data-science-kaggle", "kernel_id": "111470751"}, {"ref": "krishnapatilrajput/beginner-guide-to-machine-learning", "kernel_id": "111582079"}, {"ref": "leonxiang/titanic-survival-prediction-with-knn", "kernel_id": "111928582"}, {"ref": "shalondamayberry/titanic-machine-learning-from-disaster", "kernel_id": "111680721"}, {"ref": "erkdev99/titanic-task", "kernel_id": "111561711"}, {"ref": "vnxmnguyn/fork-of-neural-network-basic-using-tensorflow", "kernel_id": "111730470"}, {"ref": "germansanchezgo/titanicproyecto", "kernel_id": "111731369"}, {"ref": "valerierusso/titanic-predictions", "kernel_id": "111983186"}, {"ref": "gpreda/titanic-solution-using-pytorch", "kernel_id": "112211079"}, {"ref": "sumit2900/titanic-survivors", "kernel_id": "112466854"}, {"ref": "kalyankkr/beginners-guide-to-eda-fe-models", "kernel_id": "112421887"}, {"ref": "athulanish/titanic-rf-nonotes", "kernel_id": "112250651"}, {"ref": "enerhim/titanicpredictions", "kernel_id": "112653641"}, {"ref": "theodorostsiolakis/notebook0a601f3bae", "kernel_id": "112017500"}, {"ref": "francisbanda/titanic-ensemble-rf-gbm-lr-v4", "kernel_id": "112077201"}, {"ref": "cyborgoctopus/titanic-brain-ai-mk2", "kernel_id": "112164042"}, {"ref": "leftpaul/titanic", "kernel_id": "112744750"}, {"ref": "franekwodarczyk/titanic-machine-learning-from-disaster", "kernel_id": "112493169"}, {"ref": "transformer1/titanic-complete-ml-pipeline", "kernel_id": "112827125"}, {"ref": "walidhadri/titanic-complete-eda-knn-guide-0-816-lb", "kernel_id": "112492956"}, {"ref": "thrivenisaikalakoti/titanic-complete-eda-feature-engineering-mode", "kernel_id": "112394548"}, {"ref": "sajarafat/ensemble", "kernel_id": "112339137"}, {"ref": "capkomrad/titanic-comparing-imputing-strategies-and-models", "kernel_id": "112589717"}, {"ref": "devendrarajpurohit58/types-of-probability", "kernel_id": "112281978"}, {"ref": "kaggle1abbas/starting-with-titanic", "kernel_id": "112036373"}, {"ref": "sogomatsubara/titanic", "kernel_id": "112406548"}, {"ref": "phyothaw/titanic-eda-ml-prediction", "kernel_id": "112483700"}, {"ref": "apocgod/01-eda", "kernel_id": "112526208"}, {"ref": "thanat13x/titanic-submission", "kernel_id": "112610753"}, {"ref": "johndreynolds/titanic-data-health-features-baseline", "kernel_id": "112140553"}, {"ref": "reguelpangaribuan/titanic-ml-from-disaster", "kernel_id": "112424734"}, {"ref": "aryandas29/titanic-survival-prediction-model-ann", "kernel_id": "112514259"}, {"ref": "shrinjoyghosh/my-analysis-on-titanic", "kernel_id": "112111259"}, {"ref": "muhammadbinmijan/titanic-machine-learning", "kernel_id": "112165957"}, {"ref": "rishanratha/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "112329193"}, {"ref": "rishanratha/notebook834c8e3fe3", "kernel_id": "112334622"}, {"ref": "kareemmustafa123/titanic-my-first-machine-learning-model", "kernel_id": "112526353"}, {"ref": "kunalkatre03/titanic-survived-prediction", "kernel_id": "112497237"}, {"ref": "justinnorvell/titanic-competition", "kernel_id": "112117661"}, {"ref": "problemthinkerbox/titanic-with-stacking-approach-and-explainability", "kernel_id": "112514746"}, {"ref": "yameteshka/yameteshka-neuron-from-scratch", "kernel_id": "112270432"}, {"ref": "nallibnazareno/notebook2ab367c046", "kernel_id": "112643256"}, {"ref": "za1dk1ng/auto-titanic-20260313-220201", "kernel_id": "112104459"}, {"ref": "za1dk1ng/auto-titanic-20260313-214543", "kernel_id": "112103213"}, {"ref": "emrecapar/titanic-top-2-solution-w-o-overfitting", "kernel_id": "112101965"}, {"ref": "caglarzkan/titanic-competations-rfc-0-82-acc", "kernel_id": "112474348"}, {"ref": "hamzaasif07/titanic-survival-prediction", "kernel_id": "112122242"}, {"ref": "nhatthiennguyen/task2-nhatthiennguyen", "kernel_id": "112235063"}, {"ref": "chhayakantamaharana/titanic-survival-prediction", "kernel_id": "112990232"}, {"ref": "hammadulmustafa/titanic-competition-clean-ml-from-scratch", "kernel_id": "112245326"}, {"ref": "mohankrishnathalla/exercise-arithmetic-and-variables", "kernel_id": "112397873"}, {"ref": "mohankrishnathalla/titanic-beginner-s-complete-ml-guide", "kernel_id": "112336657"}, {"ref": "mohankrishnathalla/titanic-xgb-lgb-gbm-stack-0-80-score", "kernel_id": "112338389"}, {"ref": "rdeenz/int632-titanic", "kernel_id": "112002203"}, {"ref": "deanbatur/titanic-lgb-xgb-ensemble", "kernel_id": "112185989"}, {"ref": "deanbatur/titanic-r-survival-analysis", "kernel_id": "112264437"}, {"ref": "chiafanhsu/titanic-survival-prediction", "kernel_id": "112118967"}, {"ref": "nexa4yxa/titanic-data-science-solutions", "kernel_id": "112068391"}, {"ref": "kazuhiroyogo/titanic-sample-kazuhiro11", "kernel_id": "112145634"}, {"ref": "kazuhiroyogo/titanic-sample-kazuhiro20", "kernel_id": "112990466"}, {"ref": "hideself/mytitanic", "kernel_id": "112063546"}, {"ref": "mrrobotbamboo/titanic-new", "kernel_id": "112074391"}, {"ref": "kaushalsharma17/tittanic2", "kernel_id": "112398421"}, {"ref": "kaushalsharma17/titanic", "kernel_id": "112289463"}, {"ref": "gantalacharan/exercise-arithmetic-and-variables", "kernel_id": "112116073"}, {"ref": "kichuvandithadam/exercise-arithmetic-and-variables", "kernel_id": "112818151"}, {"ref": "jayjoshi37/titanic-competition", "kernel_id": "112617872"}, {"ref": "fatiamodiu/exercise-arithmetic-and-variables", "kernel_id": "112185352"}, {"ref": "iamnotaproggramer/titanic-problem", "kernel_id": "112468144"}, {"ref": "chickenheart/learning-applied-ml", "kernel_id": "112134606"}, {"ref": "ggagandeepkaurds/notebook35f360a4e2", "kernel_id": "112013601"}, {"ref": "abhii512/titanic-datasets", "kernel_id": "112447796"}, {"ref": "semihsancar2009/titanicmodel", "kernel_id": "112392331"}, {"ref": "ririko721/titanic-task3", "kernel_id": "112167002"}, {"ref": "ririko721/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "112163356"}, {"ref": "ririko721/getting-started-with-titanic", "kernel_id": "112162858"}, {"ref": "wh123a/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "112170408"}, {"ref": "wh123a/task2", "kernel_id": "112170818"}, {"ref": "wh123a/task3", "kernel_id": "112170903"}, {"ref": "xuankailah/fastai-lesson-5b-use-a-framework", "kernel_id": "112361329"}, {"ref": "xuankailah/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "112354876"}, {"ref": "xuankailah/fastai-lesson-6a-random-forests", "kernel_id": "112850407"}, {"ref": "guokimi/fastai-lesson-5b-use-a-framework", "kernel_id": "112245920"}, {"ref": "guokimi/why-you-should-use-a-framework", "kernel_id": "112246032"}, {"ref": "guokimi/linear-model-and-neural-net-from-scratch", "kernel_id": "112245780"}, {"ref": "guokimi/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "112245701"}, {"ref": "weiliangli3501/week6-task2", "kernel_id": "112166753"}, {"ref": "weiliangli3501/week7-task-1", "kernel_id": "112443893"}, {"ref": "zaikunzheng/fastai-lesson-6a-random-forests", "kernel_id": "112454013"}, {"ref": "guanyulujcu/fastai-lesson-6a-random-forests", "kernel_id": "112449563"}, {"ref": "kennardlime/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "112184522"}, {"ref": "kennardlime/titanic-machine-learner", "kernel_id": "112186033"}, {"ref": "runzewang0622/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "112246048"}, {"ref": "linnn01/practical-6-task-1", "kernel_id": "112076297"}, {"ref": "linnn01/practical-6-task-3", "kernel_id": "112157878"}, {"ref": "linnn01/practical-6-task-2", "kernel_id": "112154975"}, {"ref": "brenosilvabarros/titanic-eda-an-lise-explorat-ria-completa", "kernel_id": "112270917"}, {"ref": "rohitv18/titanic-competition", "kernel_id": "112400582"}, {"ref": "aiswaryanm/exercise-arithmetic-and-variables", "kernel_id": "112814302"}, {"ref": "ezturkmen/titanik-yar-mas", "kernel_id": "112964523"}, {"ref": "danilborisenko/titanic-solution", "kernel_id": "112166439"}, {"ref": "chiewqun/data-management-assignment", "kernel_id": "112109538"}, {"ref": "hayaalsaddy/notebookadabd0adc2", "kernel_id": "112944826"}, {"ref": "ashraf1903/notebookb852da3e22", "kernel_id": "112662742"}, {"ref": "mit001922/lab-assignment-level-400-week-2", "kernel_id": "112606854"}, {"ref": "manyajain3133/titanic-tutorial", "kernel_id": "112826985"}, {"ref": "nimohjoseph/lab-assignment-2-week-2", "kernel_id": "112663780"}, {"ref": "citizenkorea/causality-of-survival-time-human-dynamics", "kernel_id": "112148648"}, {"ref": "abdulaiishmael/assignment-2-week2", "kernel_id": "112115043"}, {"ref": "bingshaocui/bingshaocui-1", "kernel_id": "112159435"}, {"ref": "radenadityan/membuat-kerangka-data-mining-menggunakan-python", "kernel_id": "112163360"}, {"ref": "homimeryem/notebook4e72ecea92", "kernel_id": "112477263"}, {"ref": "akshaybabu47/titanic-prediction-akshay", "kernel_id": "112722368"}, {"ref": "minorihon/udemy-lesson1-randomforest-new", "kernel_id": "112330969"}, {"ref": "annasokolova03/titanic-challenge", "kernel_id": "112380298"}, {"ref": "molageraymeric/3-me-version", "kernel_id": "112380347"}, {"ref": "molageraymeric/2nd-code", "kernel_id": "112379951"}, {"ref": "molageraymeric/1er-code-tuto", "kernel_id": "112379331"}, {"ref": "sreyashidubey/notebook8943c254f1", "kernel_id": "112507376"}, {"ref": "ktoto12354/notebookff5d8bba85", "kernel_id": "112509466"}, {"ref": "iondreglea14/notebook96c624d5a7", "kernel_id": "112819910"}, {"ref": "kalyankkr/advance-hp-tuning-model-selection-calibration", "kernel_id": "113559007"}, {"ref": "lbsbmsu/ggmlr-titanic-test", "kernel_id": "113665831"}, {"ref": "dineshkumarsdk/titanic-disaster-statistics", "kernel_id": "113680620"}, {"ref": "hughesg/titanic-advanced-feature-engineering-rewrite", "kernel_id": "113152965"}, {"ref": "theodorostsiolakis/notebook84e2ccf119", "kernel_id": "113620436"}, {"ref": "sibabalwesinyaniso/getting-started-with-titanic-v1", "kernel_id": "113592400"}, {"ref": "codingmaster24/titanic-machine-learning-from-disaster-v1", "kernel_id": "113617118"}, {"ref": "ahmedelsaghir/titanic-classification-ml-87-43", "kernel_id": "113704826"}, {"ref": "jaquesgillis/titanic-exploration-final-predictions-with-rf", "kernel_id": "113958403"}, {"ref": "neerajmax/new-benchmark-task-3d2d6", "kernel_id": "113514705"}, {"ref": "rutvikjani2801/titanic-logistic-regression", "kernel_id": "113438822"}, {"ref": "capkomrad/find-optimal-params-for-ranfom-forest-titanic", "kernel_id": "113477766"}, {"ref": "todddole/decision-tree-and-random-forest", "kernel_id": "113269446"}, {"ref": "seguride/takeout-1st-lecture", "kernel_id": "113199442"}, {"ref": "akashkr73/titanic-prediction", "kernel_id": "113113170"}, {"ref": "devrishisharma/titanic-proper", "kernel_id": "113130916"}, {"ref": "saurabhtripathi8958/central-limit-theorem-case-study-titanic-fare", "kernel_id": "113155729"}, {"ref": "namyaajain/titanic-random-forest", "kernel_id": "113351920"}, {"ref": "christianeabacani/getting-started-with-titanic", "kernel_id": "113860057"}, {"ref": "fluuvys/titanic", "kernel_id": "113698980"}, {"ref": "anuya09/titanic-machine-learning-from-disaster", "kernel_id": "113687977"}, {"ref": "devashish001/titanic-notebook", "kernel_id": "113396122"}, {"ref": "akepati/exercise-arithmetic-and-variables", "kernel_id": "113996228"}, {"ref": "rishanratha/fastai-lesson-6a-random-forests", "kernel_id": "113130137"}, {"ref": "earnestgomer/notebook9cd33a0218", "kernel_id": "113152627"}, {"ref": "ebjdoe/titanic-five-things-the-data-actually-tells-you", "kernel_id": "113042005"}, {"ref": "brielega/my-attempt-at-titanic-competition", "kernel_id": "113898035"}, {"ref": "amikayasumura/titanic-again1-amk", "kernel_id": "113560583"}, {"ref": "mrystequ/first-titanic-model", "kernel_id": "113295611"}, {"ref": "yogeshkardile/first-competition", "kernel_id": "113012463"}, {"ref": "chaimaamatrag/first-compitition-titanic", "kernel_id": "113276118"}, {"ref": "marcprezlleix/proyecto-titanic-marc", "kernel_id": "113678254"}, {"ref": "yashseth25/titanic-tutorial", "kernel_id": "113686077"}, {"ref": "revereneo/rn-titanic", "kernel_id": "113638619"}, {"ref": "raouflounis/titanic", "kernel_id": "113626985"}, {"ref": "asawirobaid/pfai-pr", "kernel_id": "113589777"}, {"ref": "rambo232/titanic-feature-engineering-ensemble", "kernel_id": "113139257"}, {"ref": "whyidontgetit/titanic-data-prediction", "kernel_id": "113048316"}, {"ref": "deeeppmitashhu/titanic-predication", "kernel_id": "113468392"}, {"ref": "muhammadali03/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "113594899"}, {"ref": "kazuhiroyogo/titanic-sample-kazuhiro24", "kernel_id": "113190069"}, {"ref": "kazuhiroyogo/titanic-sample-kazuhiro26", "kernel_id": "113473385"}, {"ref": "uday9081/titanicfrocompetition", "kernel_id": "113584469"}, {"ref": "nanditagandhi/titanic-ml-from-disaster", "kernel_id": "113109869"}, {"ref": "mrbob1/notebook6e897fbbad", "kernel_id": "113242581"}, {"ref": "anasslhr/titanic-machine-learning-from-disaster", "kernel_id": "113037102"}, {"ref": "mrahtashamulhaq/titanic-notebook", "kernel_id": "113037347"}, {"ref": "azedgray/notebook634aacf093", "kernel_id": "113956359"}, {"ref": "abhishektiwari8419/notebook7485a7d4c8", "kernel_id": "113445026"}, {"ref": "plabonsarkards/notebookcd44ea35aa", "kernel_id": "113091973"}, {"ref": "kochergaeq/notebookc9debdb9fc", "kernel_id": "113275507"}, {"ref": "licabbarov/titanic-randomforests", "kernel_id": "113224902"}, {"ref": "cmx1994/complete-titanic-eda-feature-engineering-log2", "kernel_id": "113443218"}, {"ref": "harisaliovais/notebook958035155c", "kernel_id": "113586606"}, {"ref": "shamaislam/titanic-survive", "kernel_id": "113467107"}, {"ref": "shamaislam/titanic-with-xgboost", "kernel_id": "113621748"}, {"ref": "pawansingh1808/lab-assignment", "kernel_id": "113661924"}, {"ref": "harshvardhandusane/dsbda-pr-9", "kernel_id": "113855041"}, {"ref": "harshvardhandusane/dsbda-pr-8", "kernel_id": "113673745"}, {"ref": "guokimi/fastai-lesson-6a-random-forests-184eb3", "kernel_id": "113095174"}, {"ref": "guokimi/how-random-forests-really-work", "kernel_id": "113112329"}, {"ref": "runzewang0622/fastai-lesson-6a-random-forests", "kernel_id": "113110651"}, {"ref": "michaelperron/titanic-machine-learning-from-disaster", "kernel_id": "113438851"}, {"ref": "winn0w/fastai-lesson-6a-random-forests", "kernel_id": "113120173"}, {"ref": "michaelboyd9999/boyd-cc3-project1", "kernel_id": "113349879"}, {"ref": "ramazanulus/titanic-classification-with-deep-learning", "kernel_id": "113887045"}, {"ref": "nurcihangktanr/titanik-yar-mas", "kernel_id": "113877087"}, {"ref": "shayan691/titanic-machine-learning", "kernel_id": "113869674"}, {"ref": "sylvesterwanina/sylvester-wanina-eda-cs-da01-25087", "kernel_id": "113969319"}, {"ref": "chaeyeoungkim/notebook7a0b96ec43", "kernel_id": "113934611"}, {"ref": "zeinabhassaneen/titanic-machine-learning-from-disaster", "kernel_id": "113123579"}, {"ref": "edwinnate/titanic-survival-prediction", "kernel_id": "113009970"}, {"ref": "hkmk0515/2022810009", "kernel_id": "113991348"}, {"ref": "atharv8609/notebook8864958a46", "kernel_id": "113132286"}, {"ref": "sumitjagtap2005/titanic-survival-analysis-pandas-visualization", "kernel_id": "113724812"}, {"ref": "sumitkumar1802/notebook2e83a977ed", "kernel_id": "113681658"}, {"ref": "riteshkumarweb/exercise", "kernel_id": "113139389"}, {"ref": "wahidsaeed/titanic-passenger-survival-classification", "kernel_id": "113979083"}, {"ref": "ohhyeseong03/titanic", "kernel_id": "113980349"}, {"ref": "kimganghyun0202/titanic-task", "kernel_id": "113971539"}, {"ref": "jeontaeyoung/titanic-competition", "kernel_id": "113962917"}, {"ref": "ch101634/7th-task", "kernel_id": "113712859"}, {"ref": "znlc09/2022810051-7", "kernel_id": "113923774"}, {"ref": "jungjoungbae/assignment-7-titanic-machine-learning", "kernel_id": "113869239"}, {"ref": "wonyeop03/titanic-machine-learning-from-disaster", "kernel_id": "113856626"}, {"ref": "hyunji0404/machinelearning-titanic-prediction", "kernel_id": "113954779"}, {"ref": "youejin/7th-task", "kernel_id": "113966661"}, {"ref": "sawon0418/titanic", "kernel_id": "113948777"}, {"ref": "wooseoye0n/notebook5a1cfe91c7", "kernel_id": "113978454"}, {"ref": "choiglyeon/titanic", "kernel_id": "113987362"}, {"ref": "persona5r/kaggle-titanic", "kernel_id": "113880674"}, {"ref": "paekyeonseo/2023500031-titanic-7th-assignment", "kernel_id": "113987105"}, {"ref": "bs1994/titanic-survival-bso2", "kernel_id": "113303908"}, {"ref": "bs1994/titanic-survivalbs", "kernel_id": "113293170"}, {"ref": "bs1994/titanic-survivalbso", "kernel_id": "113297600"}, {"ref": "haeunkim1225/haeun-kim-7th-assignment", "kernel_id": "113977399"}, {"ref": "ninidhi/titanic", "kernel_id": "113286945"}, {"ref": "darkmatternet/complete-ml-pipeline-v1-0-76794", "kernel_id": "113932455"}, {"ref": "shamsulkhan/khan-cc3-project1", "kernel_id": "113626029"}, {"ref": "miguelviannay/myfirstkaggleexperience", "kernel_id": "113549245"}, {"ref": "abilioai/nao-quero-me-afundar-v2", "kernel_id": "113648980"}, {"ref": "kawakimi/titanic-ml-competition", "kernel_id": "113708054"}, {"ref": "papiliu/notebook17f5bb56d7", "kernel_id": "113653155"}, {"ref": "likhithageddam/task-0ne-hw2", "kernel_id": "114150601"}, {"ref": "makotokomizo/titanic-eda-baseline-randomforest-cv-82-7", "kernel_id": "114548042"}, {"ref": "radha9265/titanic", "kernel_id": "114299494"}, {"ref": "syahwizadean/titanic-using-xgbc-catbc", "kernel_id": "114237189"}, {"ref": "violetacarvalho/titanic-logistic-regression", "kernel_id": "114403668"}, {"ref": "magalarza/proyecto-titanic", "kernel_id": "114211071"}, {"ref": "kixiev/aprendizaje-autom-tico-5", "kernel_id": "114231349"}, {"ref": "ommprakashchhotaray/notebookf7a456311e", "kernel_id": "114288519"}, {"ref": "rehanmalik99/titanic-stacking-ensemble-pipeline", "kernel_id": "114601340"}, {"ref": "larionovauliana/pandas-intro", "kernel_id": "114759191"}, {"ref": "larionovauliana/project-predicting-survival-on-the-titanic", "kernel_id": "114758353"}, {"ref": "sushmichukka/comprehensive-titanic-survival-prediction", "kernel_id": "114158377"}, {"ref": "nanaakuatakyimensah/starting-with-the-titanic", "kernel_id": "114191510"}, {"ref": "muratcanyaman/titanic-survival-prediction", "kernel_id": "114885356"}, {"ref": "marieloubarnaud/titanic-with-ai-think-agent", "kernel_id": "114688064"}, {"ref": "denislu/titanic-machine-learning-from-disaster", "kernel_id": "114191154"}, {"ref": "vladimirnasalciuc/who-really-survived-the-titanic", "kernel_id": "114075092"}, {"ref": "dariokrugerjunior/previs-o-de-sobreviv-ncia-no-titanic-ml", "kernel_id": "114126602"}, {"ref": "karuloos/titanic-survivability-notebook", "kernel_id": "114877773"}, {"ref": "burakkn/titanic", "kernel_id": "114509060"}, {"ref": "odaiawad/first-competition-titanic-survival", "kernel_id": "114611074"}, {"ref": "arseniikryvogubchenko/lw-2-mlaida", "kernel_id": "114182295"}, {"ref": "foruthere/notebook8c514c8717", "kernel_id": "114704617"}, {"ref": "manelhouari/titanic-for-students", "kernel_id": "114093410"}, {"ref": "lakshya3690/titanic", "kernel_id": "114744959"}, {"ref": "ishitabahamnia/notebook5b36ab1e22", "kernel_id": "114679610"}, {"ref": "izzarsulynashrudin/titaniccompetitions", "kernel_id": "114974350"}, {"ref": "izzarsulynashrudin/tensorflowtitanic", "kernel_id": "114969607"}, {"ref": "jacowyj/titanic-survival-prediction", "kernel_id": "114664233"}, {"ref": "carchip4/hae-yun-2021710063", "kernel_id": "114106223"}, {"ref": "aaavia/vian-yeh-hw2", "kernel_id": "114154984"}, {"ref": "sriramrramakrishnan/exercise-arithmetic-and-variables", "kernel_id": "114905367"}, {"ref": "mugishapacifique/titanic-competition-easy-start", "kernel_id": "114881602"}, {"ref": "aishimuskan/titanic-survival-prediction", "kernel_id": "114297328"}, {"ref": "seeratfatima02/ydata-profiling-bejing-multi-site-air-quality", "kernel_id": "114961500"}, {"ref": "faizy456/titanic-survival-prediction-beginner", "kernel_id": "114255924"}, {"ref": "harshwardhan56/machine-learning-randomforest", "kernel_id": "114705702"}, {"ref": "wisdomsiddharth/titanic-ml-86-accuracy", "kernel_id": "114726961"}, {"ref": "lezso84/titanic-survival-prediction-feature-engineering", "kernel_id": "114415868"}, {"ref": "mertcankara1/train-eda-and-feature-engineering", "kernel_id": "114862271"}, {"ref": "karlyklaer/karly-klaer-titanic-competition", "kernel_id": "114409478"}, {"ref": "nqthust/titanic", "kernel_id": "114385839"}, {"ref": "vinay24baghira/titanic-ml-beginner-eda-model", "kernel_id": "114267591"}, {"ref": "rajvansh17/notebookd45d3c938b", "kernel_id": "114445780"}, {"ref": "harrisawan/titanic-eda-survival-analysis", "kernel_id": "114603935"}, {"ref": "dearshark/using-model-stacking-to-solve-titanic-prediction", "kernel_id": "114182003"}, {"ref": "hanenbriki/titanic-machine-learning-from-disaster", "kernel_id": "114319140"}, {"ref": "mahbub620/assignment", "kernel_id": "114374593"}, {"ref": "marylavanithasunder/titanic-tutorial", "kernel_id": "114976620"}, {"ref": "faatimh/lab1-and-2", "kernel_id": "114252829"}, {"ref": "ancitania/notebookbe7b971857", "kernel_id": "114132092"}, {"ref": "christophercaperlac/cse-572-hw2", "kernel_id": "114123438"}, {"ref": "yuvalvarke/getting-started-with-titanic", "kernel_id": "114095032"}, {"ref": "kenzenk1ongorong/bayess-2902702523", "kernel_id": "114845942"}, {"ref": "kenzenk1ongorong/revisi-kenzen", "kernel_id": "114173852"}, {"ref": "adiazkaathallapatria/titanic-naive-bayes", "kernel_id": "114136679"}, {"ref": "kardelentula/notebook2704c62cd3", "kernel_id": "114268525"}, {"ref": "basayuchenwang/titanic-tutorial-competition-using-r", "kernel_id": "114956073"}, {"ref": "tdminhhuy/travelassistant", "kernel_id": "114364544"}, {"ref": "danielmorreale/titanic-machine-learning-from-disaster", "kernel_id": "114181464"}, {"ref": "channejayesh/python-for-data-25-chi-squared-tests", "kernel_id": "114495395"}, {"ref": "channejayesh/python-for-data-26-anova", "kernel_id": "114495476"}, {"ref": "dldbsgod/titanic", "kernel_id": "114092920"}, {"ref": "yu0seo/notebook0d490b6e95", "kernel_id": "114058777"}, {"ref": "uue726/titanic-machine-learning", "kernel_id": "114045996"}, {"ref": "tkdwns2342/notebooke22c4fd89a", "kernel_id": "114090955"}, {"ref": "jangwonw00/notebook5a71ab5199", "kernel_id": "114087502"}, {"ref": "hhww4953/titanic", "kernel_id": "114050120"}, {"ref": "eomjieun/notebook182e19edcf", "kernel_id": "114073194"}, {"ref": "d03020522/2023500003-7", "kernel_id": "114104829"}, {"ref": "excommunicado26/titanic-notebook", "kernel_id": "114084400"}, {"ref": "tomstud46/the-titanic-survival-logic", "kernel_id": "114120469"}, {"ref": "codexlearner/titanicsurvivalprediction", "kernel_id": "114469550"}, {"ref": "milkesataye/notebook132a501537", "kernel_id": "114186065"}, {"ref": "gautamkr2/test-run", "kernel_id": "114476270"}, {"ref": "jubayermahmudnirjus/titanic-survival-analysis-eda-with-python", "kernel_id": "114679231"}, {"ref": "deepanshuarora5810/notebooke2c2b1f1e1", "kernel_id": "114700332"}, {"ref": "bellaouarmounder/titanic-model", "kernel_id": "114959663"}, {"ref": "mehedihassansalman/assignment", "kernel_id": "114896286"}, {"ref": "zakiyff/fork-titanic-model-experiments-optimization", "kernel_id": "115311159"}, {"ref": "stpeteishii/titanic-keras-mlp-classifier-w-tpu", "kernel_id": "115082619"}, {"ref": "hohinwang/titanic-industrial-big-data-analytics-capstone", "kernel_id": "115237420"}, {"ref": "jesusnieto/titanic-svm-baseline-en", "kernel_id": "115249637"}, {"ref": "jesusnieto/titanic-svm-adjustparams-en", "kernel_id": "115252958"}, {"ref": "notabhishek/titanic-survival", "kernel_id": "115454910"}, {"ref": "nihalba/titanic-classification-ml-project", "kernel_id": "115655389"}, {"ref": "jayadityajha/titanic-data-science-solutions", "kernel_id": "115192664"}, {"ref": "ulkapatel/classification", "kernel_id": "115122405"}, {"ref": "hiagoborgao/notebookf0eae53a2d", "kernel_id": "115677598"}, {"ref": "wayne931121/ciallo", "kernel_id": "115917989"}, {"ref": "hassanmasoud1/titanic-classification-using-randomforest", "kernel_id": "115756671"}, {"ref": "saurabhtripathi8958/confidence-intervals-explained", "kernel_id": "115169539"}, {"ref": "danielajaggan/notebook79869b8aae", "kernel_id": "115298108"}, {"ref": "cai0123/titanic-survival-prediction-advanced-features", "kernel_id": "115621193"}, {"ref": "tegarbagussantoso/klasifikasi-data-titanic-dari-kaggle-menggunakan-r", "kernel_id": "115624818"}, {"ref": "jimlys/latihan-buat-dm", "kernel_id": "115933914"}, {"ref": "nevandanur/resnet50-gauss-newton-for-titanic", "kernel_id": "115653069"}, {"ref": "shalmahalida/task-4", "kernel_id": "115582459"}, {"ref": "shalmahalida/tugas-4", "kernel_id": "115637432"}, {"ref": "mufidpanhalkar/feature-engineering", "kernel_id": "115533877"}, {"ref": "mufidpanhalkar/exploratory-data-analysis", "kernel_id": "115443560"}, {"ref": "mufidpanhalkar/pandas-guide", "kernel_id": "115149742"}, {"ref": "mufidpanhalkar/numpy-pandas-workflow", "kernel_id": "115235141"}, {"ref": "samiullahsaif/titanic-ml-project-1", "kernel_id": "115658844"}, {"ref": "lokeshpuma/titanic", "kernel_id": "115421513"}, {"ref": "safayetshuvo/day-3-data-preprocessing-data-visualization", "kernel_id": "115965406"}, {"ref": "ifedigboifeoma/ifedigbo-ifeoma-mini-project-2", "kernel_id": "115118778"}, {"ref": "moisesmucelo/titanic-eda-survival-analysis", "kernel_id": "115433935"}, {"ref": "rdeenz/fork-of-int632-titanic", "kernel_id": "115923885"}, {"ref": "vaishnavimanick/notebookb2ac69e97f", "kernel_id": "115441328"}, {"ref": "thananjayansivakumar/notebookbd2b2919cc", "kernel_id": "115526678"}, {"ref": "rosianamia/klasifikasi-titanic", "kernel_id": "115482457"}, {"ref": "zaincui/titanic-analysis21", "kernel_id": "115398714"}, {"ref": "varsha13092006/notebookedb944e95d", "kernel_id": "115444345"}, {"ref": "rashikhabiya149/eda-case-study-titanic-survival-analysis", "kernel_id": "115090378"}, {"ref": "esograce/titanic-logistic-regression-vs-random-forest", "kernel_id": "115626738"}, {"ref": "sakshichaudhary91/handling-missing-numerical-data", "kernel_id": "115541555"}, {"ref": "saesun/titanic", "kernel_id": "115607727"}, {"ref": "divyeshbhundiya/tyagi-sir-new-project", "kernel_id": "115637750"}, {"ref": "nidhisilmana/notebookc3e31626c7", "kernel_id": "115836184"}, {"ref": "fawzieslammaged/notebook4634f87666", "kernel_id": "115016283"}, {"ref": "fawzieslammaged/notebook6e4f18906a", "kernel_id": "115129704"}, {"ref": "suryaprakasho5/titanic-surya-s-insight", "kernel_id": "115348591"}, {"ref": "kumarmunesh12/24p-0635ai-assignment02", "kernel_id": "115934548"}, {"ref": "prernagade2002/notebook7f1cebf691", "kernel_id": "115122420"}, {"ref": "sameerahmad04/titanic-kaggle-competition", "kernel_id": "115717956"}, {"ref": "qunhhn/top-4-titanic-ensemble-strategy", "kernel_id": "115304855"}, {"ref": "davutefe/my-first-notebook", "kernel_id": "115545972"}, {"ref": "shrutirana28/titanic-survival-prediction-using-lr-and-rfc", "kernel_id": "115911856"}, {"ref": "ankitpatelog/titanic-classification", "kernel_id": "115551361"}, {"ref": "romnisarias/titanic-logisticregression", "kernel_id": "115431926"}, {"ref": "anushkadorge/hackathonn", "kernel_id": "115485678"}, {"ref": "libbywes/titanic-machine-learning-from-disaster", "kernel_id": "115647991"}, {"ref": "aksaafrozpathan/titanic-ipynb", "kernel_id": "115639120"}, {"ref": "asliddinabdurakhimov/titanic-randomforestclassifier-xgboostclassifier", "kernel_id": "115694270"}, {"ref": "ekadiantaratiu/cp3403-5634-project-v2025a", "kernel_id": "115091534"}, {"ref": "vijaychavan1393/notebook55348265e8", "kernel_id": "115593913"}, {"ref": "rushisolunke/titanic-2026-upadate", "kernel_id": "115400263"}, {"ref": "kailashsingh4454/titanic-survival-prediction-using-logistic-regress", "kernel_id": "115253032"}, {"ref": "codeelernz/ml-university-assignment-naive-b", "kernel_id": "115409065"}, {"ref": "mam4182/fork-of-titanic-modeling-featuring-2", "kernel_id": "115475240"}, {"ref": "shoxruzbek/titanic-competition", "kernel_id": "115652669"}, {"ref": "eternaltanmay/assignment-5", "kernel_id": "115121681"}, {"ref": "aadhemar/titanic-adalid-alvarez", "kernel_id": "115360541"}, {"ref": "smarteros/notebookb1a741d484", "kernel_id": "115112227"}, {"ref": "perpetuannabuenyi/perpetua-mini-project-2-ml", "kernel_id": "115240437"}, {"ref": "sylvianzenwa/getting-started-with-titanic-3-sylvia", "kernel_id": "115339729"}, {"ref": "dzilmillati/titanic-resnot50-optimasi-gauss-newton", "kernel_id": "115643765"}, {"ref": "molageraymeric/gradientboosterclassifer", "kernel_id": "115231112"}, {"ref": "maiwadanour/nourredine-maiwada-kaggle-note", "kernel_id": "115488449"}, {"ref": "unfazed007/titanic", "kernel_id": "115259684"}, {"ref": "byrojushivasai/eda-on-titanic", "kernel_id": "115530866"}, {"ref": "naurajinan/titanic-bisdig", "kernel_id": "115936500"}, {"ref": "alcevl/titanic", "kernel_id": "115006067"}, {"ref": "sristychoudhary/notebooka6abd8f90b", "kernel_id": "115717655"}, {"ref": "genniercaro/titanic-arbol", "kernel_id": "115385080"}, {"ref": "r2d2h6c/clssification-titanic-disaster", "kernel_id": "115817152"}, {"ref": "chidinmaumehs/titanic-answer", "kernel_id": "115123355"}, {"ref": "anurvijain08/titanic-dataset-7ca934", "kernel_id": "115139461"}, {"ref": "deviprasadvk/notebooke1915d1b95", "kernel_id": "115217784"}, {"ref": "jimwooden/notebook9068f4b143", "kernel_id": "115363272"}, {"ref": "jimwooden/exercise-arithmetic-and-variables", "kernel_id": "115363613"}, {"ref": "balaji069/titanic-data-analysis-ml-model", "kernel_id": "115542771"}, {"ref": "beastkaran/titanic-eda-and-prediction-beastkaran", "kernel_id": "115931298"}, {"ref": "user0601/titanic", "kernel_id": "115918452"}, {"ref": "celinetzy/notebookd07091556f-c9624a", "kernel_id": "115954892"}, {"ref": "fdavi2005/notebook-titanic-davi", "kernel_id": "116128162"}, {"ref": "movich/titanic-decisiontrees-master-fmt-2026", "kernel_id": "116221942"}, {"ref": "jesucristo/tabh2o-solves-titanic-no-training-needed", "kernel_id": "116514818"}, {"ref": "alpondith/titanic-survival-prediction-using-logistic-regress", "kernel_id": "116683136"}, {"ref": "visualcomments/webinar-01-my-first-titanic", "kernel_id": "116408397"}, {"ref": "chankonabe/titanic-v1", "kernel_id": "116208157"}, {"ref": "yoshiyukiendo/notebook377ad5ff50", "kernel_id": "116310523"}, {"ref": "jesusnieto/titanic-perceptron-en", "kernel_id": "116466827"}, {"ref": "nihalba/titanic-survival-prediction-deep-learning", "kernel_id": "116194137"}, {"ref": "nihalba/titanic-survival-prediction-with-deep-learning", "kernel_id": "116198431"}, {"ref": "susumuohba/notebook-v18", "kernel_id": "116026303"}, {"ref": "udeshchathumal/is-snn-good-for-tabular-classification", "kernel_id": "116949946"}, {"ref": "rizaldoar/notebookbcae19314f", "kernel_id": "116933843"}, {"ref": "alankarms/titanic-machine-learning-kaggle-competition", "kernel_id": "116337888"}, {"ref": "daluisgarcia/eda-and-model-training-titanic", "kernel_id": "116801887"}, {"ref": "letslen/letsema-titanic-tutorial", "kernel_id": "116330369"}, {"ref": "emmanuelpintelas/lec-7-ml-lab-5-tabular-based-ml-master", "kernel_id": "116591735"}, {"ref": "pujankhunt/titanic-predict-survivors", "kernel_id": "116576156"}, {"ref": "abbas829/feature-engineering-mastery", "kernel_id": "116466523"}, {"ref": "sieglindehoedl/titanic-survival-prediction-classification-model", "kernel_id": "116856589"}, {"ref": "hoodrichpirobo/getting-started-with-titanic", "kernel_id": "116870518"}, {"ref": "vrushalmore/no-ml-lb-0-766", "kernel_id": "116854142"}, {"ref": "salonichakraborty/titanic", "kernel_id": "116742148"}, {"ref": "sayedkhaled2000/titanic-14-models-10features-ensemble-master", "kernel_id": "116347417"}, {"ref": "rksrank1/statistical-analysis-titanic-dataset", "kernel_id": "116918123"}, {"ref": "birenkumarnayak/house-price-prediction", "kernel_id": "116534540"}, {"ref": "mostafa312/project-91-titanic", "kernel_id": "116233028"}, {"ref": "owaisraza01/titanic-tutorial", "kernel_id": "116799648"}, {"ref": "bogdangavriuk/titanic-survival-rf-xgboost-lightgbm-catboost", "kernel_id": "116097845"}, {"ref": "jlhn51/titanic-from-eda-to-prediction", "kernel_id": "116130721"}, {"ref": "temirlandaniyal/notebook54bf450277", "kernel_id": "116931519"}, {"ref": "rachithanumalla/titanic-survival-prediction-random-forest", "kernel_id": "116758451"}, {"ref": "mufidpanhalkar/model-evaluation-optimization", "kernel_id": "116218547"}, {"ref": "mufidpanhalkar/machine-learning-notebook", "kernel_id": "116120703"}, {"ref": "tanishka2644/notebook11cb5377f1", "kernel_id": "116806025"}, {"ref": "dzhessika/getting-started-with-titanic", "kernel_id": "116474456"}, {"ref": "dzhessika/notebook-2", "kernel_id": "116593848"}, {"ref": "prathikshamulgund/notebook36766655b4", "kernel_id": "116514767"}, {"ref": "zoubeiraouchar/titanic-prediction", "kernel_id": "116402079"}, {"ref": "guyzopelv/notebook-sur-la-comp-tition-titanic", "kernel_id": "116669683"}, {"ref": "suhanaabdulla/titanic-survival-prediction-eda-logisticregression", "kernel_id": "116268315"}, {"ref": "moisesmucelo/titanic-survival-prediction-ml-project", "kernel_id": "116159473"}, {"ref": "srijanpradhan17/titanic", "kernel_id": "116513650"}, {"ref": "lucalullo/titanic-ml", "kernel_id": "116933563"}, {"ref": "hongtrnghiu/titatnic", "kernel_id": "116393943"}, {"ref": "prabhat8799/titanic-logistic-regression", "kernel_id": "116718878"}, {"ref": "lilostich/titanic-ml-project-pratik", "kernel_id": "116492618"}, {"ref": "sakshichaudhary91/missing-indicator-random-sample-imputation", "kernel_id": "116226073"}, {"ref": "riteshkdatascientist/titanic-machine-learning-from-disaster", "kernel_id": "116163690"}, {"ref": "ahmettozluklu/titanik", "kernel_id": "116981218"}, {"ref": "yamenjamalalharbi/firsttitanic", "kernel_id": "116091564"}, {"ref": "raags2025/titanic-survival-prediction-using-random-forest", "kernel_id": "116827976"}, {"ref": "aalamkhanpathan/exercise-arithmetic-and-variables", "kernel_id": "116791930"}, {"ref": "ahmadwaleed003/titanic-survaival", "kernel_id": "116587039"}, {"ref": "hoaiphongnguyen/how-to-solve-titanic-competition-82-5-leaderboard", "kernel_id": "116873768"}, {"ref": "bobblaak/titanic-machine-learning", "kernel_id": "116079541"}, {"ref": "azkadanishkayana/titanic-adk1", "kernel_id": "116120242"}, {"ref": "saketmuluk/titanicprediction-trees", "kernel_id": "116656653"}, {"ref": "alexbossen/bossen-cc4-project1", "kernel_id": "116993176"}, {"ref": "michaelboyd9999/boyd-cc4-project1", "kernel_id": "116687234"}, {"ref": "malekamouguiama/notebooka6243971ff", "kernel_id": "116813525"}, {"ref": "azzaibrahim33/titanic-survival-analysis", "kernel_id": "116678076"}, {"ref": "katlomasale/katlo-titanic", "kernel_id": "116330725"}, {"ref": "jek1wantaufik/titanic-survival-prediction-with-xgboost-ensemble", "kernel_id": "116637518"}, {"ref": "otengmoalosi/oteng-titanic-tutorial", "kernel_id": "116330447"}, {"ref": "otengmoalosi/oteng-moalosi-titanic-project-1", "kernel_id": "116330525"}, {"ref": "mazen811/student-performance-eda-project", "kernel_id": "116301590"}, {"ref": "ayushsaxena359/notebook9d967589a8", "kernel_id": "116563609"}, {"ref": "hseyinenesduran/titanic-competition", "kernel_id": "116970637"}, {"ref": "pampaudel/paudel-cc4-project1", "kernel_id": "116988246"}, {"ref": "rishuraj909/testing-a-opensource-ml-model-with-titanic-dataset", "kernel_id": "116076982"}, {"ref": "tommydan/most-simple-with-randomforest", "kernel_id": "116838805"}, {"ref": "tolulopeogunmefun/notebookee8d542d55", "kernel_id": "116659893"}, {"ref": "tolulopeogunmefun/fork-of-notebookee8d542d55", "kernel_id": "116685236"}, {"ref": "gridi1143/titanic", "kernel_id": "116295728"}, {"ref": "ssingh14/titanic-survival-prediction-random-forest", "kernel_id": "116324091"}, {"ref": "perhaps3/notebook4d890f2fb5", "kernel_id": "116344589"}, {"ref": "natalyafenster/exercise-arithmetic-and-variables", "kernel_id": "116401796"}, {"ref": "bishalc/investigating-survival-factors-on-the-titanic", "kernel_id": "116647531"}, {"ref": "nivedithakokkonda/notebook5f381a6083", "kernel_id": "116801655"}, {"ref": "harawoo/getting-started-with-titanic", "kernel_id": "116835217"}, {"ref": "yuchengallanwu/0-78229", "kernel_id": "116874357"}, {"ref": "deveshkashyap/titanic-classification-detailed-analysis", "kernel_id": "116874890"}, {"ref": "reshminair2702/exercise-arithmetic-and-variables", "kernel_id": "116886267"}, {"ref": "gabrielbzanolla/projeto-titanic-kaggle", "kernel_id": "116954868"}, {"ref": "currypurin/tutorial-of-kaggle-ver7-ch3-3", "kernel_id": "117251388"}, {"ref": "currypurin/tutorial-of-kaggle-ver7-ch3-2", "kernel_id": "117237867"}, {"ref": "currypurin/kaggle-7-4-notebook", "kernel_id": "117377729"}, {"ref": "lysias23/machine-learning-workshop", "kernel_id": "117343315"}, {"ref": "toutamohamed/titanic-analyse", "kernel_id": "117498727"}, {"ref": "kixiev/aprendizaje-autom-tico-5-1", "kernel_id": "117879307"}, {"ref": "jake666/integrating-causal-inference-machine-learning", "kernel_id": "117642627"}, {"ref": "letslen/letsema-tutorial-titanicproject1", "kernel_id": "117143118"}, {"ref": "letslen/letsema-titanic", "kernel_id": "117149574"}, {"ref": "dimashendrico/titanic-survivor-classifier-rf-xgb", "kernel_id": "117087294"}, {"ref": "maramabdallah/titanic-survival-11-models-84-accuracy", "kernel_id": "117981273"}, {"ref": "smgolamrifat/titanic-model-train", "kernel_id": "117767292"}, {"ref": "arsalanhashmi7/titanic-survival-eda-modular-pipeline-with-rf", "kernel_id": "117330560"}, {"ref": "kanina666/notebookc255f70ea3", "kernel_id": "117045115"}, {"ref": "rosemeenshaikh/who-survives-titanic-ml-insights", "kernel_id": "117245735"}, {"ref": "spotlightkid/titanic-machinelearning", "kernel_id": "117477149"}, {"ref": "mtoshidesu/test-titanic-competition-w-tensorflow-decision", "kernel_id": "117221849"}, {"ref": "shubhanker1909/titanic-competetion", "kernel_id": "117338884"}, {"ref": "arshpreetsandhu/titanic-notebook", "kernel_id": "117996748"}, {"ref": "abdurrehman445/exercise-arithmetic-and-variables", "kernel_id": "117065763"}, {"ref": "saurabhtripathi8958/hypothesis-testing-with-anova-case-study", "kernel_id": "117807082"}, {"ref": "mufidpanhalkar/titanic-survival-prediction-xgboost", "kernel_id": "117596692"}, {"ref": "orunyaar/titanic-grade", "kernel_id": "117341346"}, {"ref": "mennaiimadeddine/notebook9e83c37727", "kernel_id": "117352677"}, {"ref": "moksh067/data-visualzation", "kernel_id": "117970852"}, {"ref": "rishikrani/titanic", "kernel_id": "117669804"}, {"ref": "spatidar18/titanic-case-study", "kernel_id": "117762281"}, {"ref": "ahmadbinzia/cars-sales", "kernel_id": "117479095"}, {"ref": "m3nd0z4/titanic", "kernel_id": "117089517"}, {"ref": "malakabdelfatah2008/titanic-machine-learning-from-disaster", "kernel_id": "117608388"}, {"ref": "muhammadadeelai/titanic-from-zero-to-84-accuracy-guide", "kernel_id": "117963718"}, {"ref": "kazuhiroyogo/titanic-kazuhiro3-pytorch1", "kernel_id": "117349544"}, {"ref": "ebubekirkartal443/notebook19045172a9", "kernel_id": "117288086"}, {"ref": "harrisawan/titanic-ml-decision-tree-classifier", "kernel_id": "117594662"}, {"ref": "lorrainenchengwa/lorraine-tutorial-titanicproject1", "kernel_id": "117143292"}, {"ref": "siddheshwarbhore/notebook8aaaa962f8", "kernel_id": "117383096"}, {"ref": "junalviorjun/titanic-machine-learning-from-disaster", "kernel_id": "117731746"}, {"ref": "aalqatta/titanic-survival-prediction", "kernel_id": "117518244"}, {"ref": "shareemalone/exercise-arithmetic-and-variables", "kernel_id": "117450623"}, {"ref": "warishaaa/eda-with-pandas", "kernel_id": "117457923"}, {"ref": "jek1wantaufik/titanic-analysis-with-external-label-matching", "kernel_id": "117807624"}, {"ref": "matheushrm/notebook-titanic", "kernel_id": "117885761"}, {"ref": "dkoerl/best-v-of-notebook-titanic-dkoer", "kernel_id": "117767997"}, {"ref": "farhodjonergashov/titanic-competition", "kernel_id": "117055039"}, {"ref": "feraszen/titanic-machine-learning", "kernel_id": "117843400"}, {"ref": "onabanjokofoworola/titanic-model-with-90-accuracy", "kernel_id": "117080094"}, {"ref": "onabanjokofoworola/how-to-get-82-5-in-titanic-leaderboard", "kernel_id": "117180643"}, {"ref": "prasmitprayansu2201/titanic-ml", "kernel_id": "117561519"}, {"ref": "phatnguyentan05/tt-ai", "kernel_id": "117131226"}, {"ref": "phamcuong211/bu-i-1", "kernel_id": "117221778"}, {"ref": "hexgeon/titanic", "kernel_id": "117224854"}, {"ref": "ththunyhunh/lab-al-b-i-1", "kernel_id": "117794184"}, {"ref": "alcevl/house-price", "kernel_id": "117295808"}, {"ref": "elmiraviktorovich/titanic", "kernel_id": "117050862"}, {"ref": "mohhameedno/fork-of-ammargamal474", "kernel_id": "117067935"}, {"ref": "w683kcevnqg6/titanic-machine-learning-from-disaster-kirti", "kernel_id": "117904409"}, {"ref": "saisaketd25/titanic-survival", "kernel_id": "117063338"}, {"ref": "fasfast/titanic-survival-prediction-eda-random-forest", "kernel_id": "117102163"}, {"ref": "akaslanyazel/titanic-pandas-data-discovery", "kernel_id": "117788211"}, {"ref": "pedr0barbosa/titanic-survival-preview", "kernel_id": "117316224"}, {"ref": "zeyadmohamed0/202206580", "kernel_id": "117251651"}, {"ref": "soulforge/titanic-survival-prediction-a-beginner-s-guide", "kernel_id": "117491692"}, {"ref": "putrisaviria/a-spatial-social-linkage-approach-of-titanic", "kernel_id": "117690239"}, {"ref": "currypurin/kaggle-7-5-draft", "kernel_id": "118090968"}, {"ref": "currypurin/kaggle-7-6", "kernel_id": "118266987"}, {"ref": "robitalhazmi/titanic-machine-learning-from-disaster-2026", "kernel_id": "118436224"}, {"ref": "marwanashra/marwanghozal-titanic", "kernel_id": "118425879"}, {"ref": "siddhichavan/titanic-randomforest", "kernel_id": "118603439"}, {"ref": "lysias23/competition", "kernel_id": "118075755"}, {"ref": "allanjuliefontes/desafio-kaggle-ci-ncia-de-dados-malvezzi", "kernel_id": "118392750"}, {"ref": "ashishkrishnanvs/titanic-prediction-randomforest-beginner", "kernel_id": "118518952"}, {"ref": "prajwalkondala/titanic-survival-prediction", "kernel_id": "118471311"}, {"ref": "hongngcdung/tt-ai-dung", "kernel_id": "118235026"}, {"ref": "malakabdelgwad/titanic-ml", "kernel_id": "118280820"}, {"ref": "luizeduardoreissouza/teste-titanic", "kernel_id": "118988267"}, {"ref": "rasindudulshan/titanic-001", "kernel_id": "118102642"}, {"ref": "riccardoblavoro/huge-model-selection-titanic-competition", "kernel_id": "118270224"}, {"ref": "riccardoblavoro/titanic-competition-tuning-random-forest", "kernel_id": "118296207"}, {"ref": "felipeurban/hello-world-kaggle", "kernel_id": "118660315"}, {"ref": "siraceddinvahid/who-survived-the-titanic", "kernel_id": "118481843"}, {"ref": "harshithavelagala/titanic-survival-prediction-using-knn-class-3493e7", "kernel_id": "118776413"}, {"ref": "haseebekhan/titanic-ml", "kernel_id": "118580319"}, {"ref": "harshprasad26/titanic-voting-classifier-0-78947", "kernel_id": "118386896"}, {"ref": "clairehuang2024/single-decision-tree-titanic", "kernel_id": "118798763"}, {"ref": "ahmetyavuzkanat/kaggle-titanic-ml-dataset-logistic-regression", "kernel_id": "118260787"}, {"ref": "ahmedesam412003/classification-titanic-survival", "kernel_id": "118412335"}, {"ref": "arpitbreathes/titanic-logistic-regression-baseline", "kernel_id": "118103426"}, {"ref": "hminhkhang1321/competitons-titanic", "kernel_id": "118636930"}, {"ref": "sanikahajare76/titanic-survival-prediction", "kernel_id": "118523399"}, {"ref": "rdeenz/notebook8b5727f238", "kernel_id": "118374066"}, {"ref": "rdeenz/notebook7e132c6b30", "kernel_id": "118377395"}, {"ref": "aliceeeeht/titanictutorial-hoaithu", "kernel_id": "118728885"}, {"ref": "jaquarjayesh/notebook3e5c4056ac", "kernel_id": "118262531"}, {"ref": "egorelovenko/titanic-baseline-random-forest", "kernel_id": "118792419"}, {"ref": "lisalisa412/titanic-survival-prediction-ml-pipeline", "kernel_id": "118778716"}, {"ref": "donguyenminhthu/titanic", "kernel_id": "118732752"}, {"ref": "ledotonga/titanic-nga", "kernel_id": "118768206"}, {"ref": "ledotonga/titatic-nga", "kernel_id": "118771260"}, {"ref": "truongdeptrai36/notebook0aeb5be5e2", "kernel_id": "118733055"}, {"ref": "doanmyduyen/myduyen-titanic", "kernel_id": "118728886"}, {"ref": "lehoanglam/titanic-lam", "kernel_id": "118732742"}, {"ref": "mixaxiuuu/kieuvovanduy-titanic", "kernel_id": "118749131"}, {"ref": "anhdang71/dangquocanh-titanic", "kernel_id": "118749250"}, {"ref": "sundusizhar/titanic", "kernel_id": "118303054"}, {"ref": "adityaarpansahoo/notebooktitanic9092", "kernel_id": "118282005"}, {"ref": "hakankahraman571/titanic-survival-prediction-with-keras-deep-learni", "kernel_id": "118907147"}, {"ref": "kenzenk1ongorong/2902702523-session-8", "kernel_id": "118923984"}, {"ref": "kenzenk1ongorong/2902702523-session-9", "kernel_id": "118933181"}, {"ref": "adiazkaathallapatria/titanic-decision-tree-and-ensemble-train", "kernel_id": "118007153"}, {"ref": "adiazkaathallapatria/titanic-support-vector-machine", "kernel_id": "118096161"}, {"ref": "darnellewidjaya/mlgslc", "kernel_id": "118811942"}, {"ref": "edrichpasaka/tugas-gslc-session-9", "kernel_id": "118518799"}, {"ref": "edrichpasaka/tugas-gslc-session-8", "kernel_id": "118517497"}, {"ref": "luizrochaa/projeto-titanic", "kernel_id": "118691302"}, {"ref": "sweetiekitty/nguyen-thi-yen-nhi", "kernel_id": "118749176"}, {"ref": "kulagina/titanic-dectreecl-median-age-median-fare", "kernel_id": "118823620"}, {"ref": "maiwadanour/maiwada-nourredine-capstone", "kernel_id": "118766736"}, {"ref": "sakaimoka/bai-tt-ai-01", "kernel_id": "118235590"}, {"ref": "abdelmoujib/knn-for-titanic-prediction", "kernel_id": "118539537"}, {"ref": "janailic/fork-of-getting-started-with-titanic-j", "kernel_id": "118795327"}, {"ref": "yongenli/yongen-li", "kernel_id": "118552393"}, {"ref": "ngocnguyenne/titanic", "kernel_id": "118729028"}, {"ref": "pverma2026/m-logistic-regression-on-titanic", "kernel_id": "118256458"}, {"ref": "jagritisuman/prodigy-ds-02", "kernel_id": "118665392"}, {"ref": "erickgomesdev/titanic-erick-gomes", "kernel_id": "118417924"}, {"ref": "sabrinanunes/atividade", "kernel_id": "118681773"}, {"ref": "mirandao00/desafio-titanic", "kernel_id": "118849271"}, {"ref": "yuralab/titanic-model-comparison", "kernel_id": "118468365"}, {"ref": "yuralab/titanic-eda-understanding-the-titanic-dataset", "kernel_id": "118251071"}, {"ref": "mehdidata2026/titanic-survival-project-using-logistic-regression", "kernel_id": "118400815"}, {"ref": "brunoteodev/titanic", "kernel_id": "118422465"}, {"ref": "ulugbekxalikov/xalikovu-titanic", "kernel_id": "118522288"}, {"ref": "victorialynn474/analysis-of-titanic-survival-factors", "kernel_id": "118581263"}, {"ref": "shouvik2758/titanic-clean-e2e-solution-shouvik2758", "kernel_id": "118881964"}, {"ref": "igorsudo/trabalho-an-lise-de-dados", "kernel_id": "118663390"}, {"ref": "abdulrahmanzakariyya/exercise-arithmetic-and-variables", "kernel_id": "118738226"}, {"ref": "vothiyennhu/titanic", "kernel_id": "118771313"}, {"ref": "justhereforafile/titanic-submission-init", "kernel_id": "119363688"}, {"ref": "dineshkumarsdk/titanic-ml", "kernel_id": "119033158"}, {"ref": "mohamedaminebayar/fastai-to-pytorch-rebuilding-the-titanic-pipeline", "kernel_id": "119683703"}, {"ref": "ecegazioglu/my-titanic", "kernel_id": "119621198"}, {"ref": "adnanankaral/ders4-odev", "kernel_id": "119736766"}, {"ref": "blourdhuraju/exploratory-data-analysis-pandas-guide", "kernel_id": "119919307"}, {"ref": "blourdhuraju/feature-distribution-analysis", "kernel_id": "119920190"}, {"ref": "samiaqadir/eda-on-titinic-samiaqadir", "kernel_id": "119621997"}, {"ref": "akrutishrikantpagar/notebook160ba29868", "kernel_id": "119814188"}, {"ref": "ikkimasuta/titanic-tutorial", "kernel_id": "119350698"}, {"ref": "taswishahpar/getting-started-with-titanic", "kernel_id": "119233639"}, {"ref": "arnay0406/titanic-with-knn", "kernel_id": "119445223"}, {"ref": "kutayorall/titanic-machine-learning-with-rfc", "kernel_id": "119029372"}, {"ref": "pavithrakumarsahu/titanic-ml", "kernel_id": "119571280"}, {"ref": "swarapawar2410/titanic-random-forest-model", "kernel_id": "119833566"}, {"ref": "mdmuftihabib/exercise-arithmetic-and-variables", "kernel_id": "119035014"}, {"ref": "csxark/titanic-prediction-model", "kernel_id": "119068447"}, {"ref": "reemhatemzekry/titanic-competition01-eda", "kernel_id": "119041385"}, {"ref": "reemhatemzekry/titanic-competition02-featureengineering", "kernel_id": "119527250"}, {"ref": "manukashyap01/titanic-survival-solution", "kernel_id": "119569906"}, {"ref": "tatianevieira/titanic-challengev1", "kernel_id": "119412696"}, {"ref": "yossefmoftah/titanic-challenge", "kernel_id": "119186829"}, {"ref": "rishiankathi/titanic-survival-prediction", "kernel_id": "119619236"}, {"ref": "nikhilbonthat4353/titanic-survival-predict-using-logistic-regression", "kernel_id": "119386983"}, {"ref": "bandibrahmmareddy/titanic-survival-prediction", "kernel_id": "119355717"}, {"ref": "rasheedahmad90/titanic-baseline-to-advanced-ml", "kernel_id": "119580931"}, {"ref": "habibaashrraf/svm-ml", "kernel_id": "119382465"}, {"ref": "peter0528/final-project", "kernel_id": "119623491"}, {"ref": "thowfiq041/titanic-survival-prediction-eda-feature-engine", "kernel_id": "119670057"}, {"ref": "karthikeyan100/titanic-model", "kernel_id": "119818527"}, {"ref": "gemengfei/titanic-machine-learning-from-disaster-v1", "kernel_id": "119923862"}, {"ref": "moshiur01/titanic-prediction-tutorial", "kernel_id": "119782312"}, {"ref": "killua88/titanic-survive-prediction", "kernel_id": "119260299"}, {"ref": "edlynjessica/getting-started-with-titanic", "kernel_id": "119026601"}, {"ref": "karnpriyanshu/titanic-survival", "kernel_id": "119344821"}, {"ref": "soichiroshido/shido-titanic-v49-heavy-models", "kernel_id": "119569150"}, {"ref": "soichiroshido/shido-titanicbestsolution-20260517", "kernel_id": "119575190"}, {"ref": "roshanmetrix/notebook3ff11e4b10", "kernel_id": "119939050"}, {"ref": "yajatpawar/titanic-survival-prediction-beginner-friendly", "kernel_id": "119992471"}, {"ref": "deepakgannamaneni/titanic-submission", "kernel_id": "119015811"}, {"ref": "alexzdorovennov/exercise-arithmetic-and-variables", "kernel_id": "119348362"}, {"ref": "chetanojwalabonagiri/titanic-eda-survival-prediction", "kernel_id": "119239194"}, {"ref": "rajeshwarikoppu/titanic-machine-learning-from-disaster", "kernel_id": "119232383"}, {"ref": "ahmedabdelghaffar650/titanic", "kernel_id": "119299190"}, {"ref": "adityachhimwal/78-22-accuracy-eda-trying-multiple-models", "kernel_id": "119015229"}, {"ref": "souraka7/titanic-advanced-ensemble-prediction", "kernel_id": "119239440"}, {"ref": "souraka7/titanic-survival-prediction-advanced-feature-engi", "kernel_id": "119237171"}, {"ref": "birajbhusal/notebook8ea4379b55", "kernel_id": "119247235"}, {"ref": "ferrrrmarrrr18/proyecto-titanic", "kernel_id": "119911527"}, {"ref": "amithsudheesh/the-first-principles-data-lab-titanic-edition", "kernel_id": "119688423"}, {"ref": "tudorbeloiu/titanic-for-beginners-from-raw-data-to-0-782", "kernel_id": "119135471"}, {"ref": "seggemsaiharshitha/notebook0a98ea2e92", "kernel_id": "119349532"}, {"ref": "antoniomanjaka/titanic-survival", "kernel_id": "119552532"}, {"ref": "suyansuyu/intro-to-programming", "kernel_id": "119242873"}, {"ref": "wentchung/parcial-1-went-chung", "kernel_id": "119211305"}, {"ref": "ahmadzamroni313/titanic-svm", "kernel_id": "119831872"}, {"ref": "tyyyyyyz/titanic-rf-model-calling", "kernel_id": "119454877"}, {"ref": "tommydan/titanic-with-nn", "kernel_id": "119392311"}, {"ref": "gnanagurubaran/getting-started-with-titanic", "kernel_id": "119484605"}, {"ref": "naraduyy/titanic-survival", "kernel_id": "119020581"}, {"ref": "kdrd2812/titanic-dataset-analysis", "kernel_id": "119468960"}, {"ref": "siddarthreddykatika/notebook56986e2bb5", "kernel_id": "119342210"}, {"ref": "robertollornsdueas/notebookee60eb11fb", "kernel_id": "119402254"}, {"ref": "debaduttakhadanga/titanic", "kernel_id": "119047990"}, {"ref": "nafizza22/getting-started-with-titanic", "kernel_id": "119428575"}, {"ref": "raniaahsan46/titanic-survival-prediction-using-random-forest", "kernel_id": "119704841"}, {"ref": "farihaopi/getting-started-with-titanic", "kernel_id": "119250752"}, {"ref": "pratyusharun/titanic-competiton-random-forest-classifier", "kernel_id": "119611975"}, {"ref": "lochanjangid/pandas-assignment", "kernel_id": "119344208"}, {"ref": "luizgustavoabarros/notebook-titanic", "kernel_id": "119375098"}, {"ref": "marcosalexandresousa/titanic-n2-at1", "kernel_id": "119250503"}, {"ref": "leydymayumy/tarea-001", "kernel_id": "119294948"}, {"ref": "karandesale3115/titanic-data-analysis-karan-desale", "kernel_id": "119442626"}, {"ref": "dagabhai/ch3-exercise3", "kernel_id": "119609970"}, {"ref": "szymonsowanieznaski/informatyka-zadanie", "kernel_id": "119731648"}, {"ref": "jeffbutt/titanic", "kernel_id": "120261973"}, {"ref": "quinnwangerin/test-titanic-with-stacking", "kernel_id": "120881238"}, {"ref": "batuhanakmak/titanik-2026", "kernel_id": "120114986"}, {"ref": "abbas829/titanic-dive-into-kaggle-competition-world", "kernel_id": "120692412"}, {"ref": "evgendvorkin/deep-preprocessing-gradient-boosting-lb-0-78708", "kernel_id": "120741248"}, {"ref": "stoneying/pipeline", "kernel_id": "120999472"}, {"ref": "d231ai/titanic-zajecia-1", "kernel_id": "120999268"}, {"ref": "davidescobarakadash/notebook5b8af2433b", "kernel_id": "120710760"}, {"ref": "vienodhini/exercise-arithmetic-and-variables", "kernel_id": "120893412"}, {"ref": "osazelemomoh/titanic-ml-task-submission", "kernel_id": "120130882"}, {"ref": "adithyanand/titanic-dataset-votingclassfier", "kernel_id": "120955268"}, {"ref": "arlcord/anova-for-titanic", "kernel_id": "120537428"}, {"ref": "leahmarymathew/titanic-eda-hidden-survival-patterns-and-social-s", "kernel_id": "120123390"}, {"ref": "jeff10w25/i-randomforest-titanic", "kernel_id": "120852875"}, {"ref": "irakosenkoiryna389/notebook-titanic", "kernel_id": "120099171"}, {"ref": "baonguyenqwerty/titanic", "kernel_id": "120523246"}, {"ref": "clairehuang2024/bagging", "kernel_id": "120487003"}, {"ref": "vipulkamboj123/titanic-eda-beginner-project", "kernel_id": "120312422"}, {"ref": "vipulkamboj123/titanic-survival-prediction-using-decision-tree", "kernel_id": "120411602"}, {"ref": "himadri07/titanic-notebook1", "kernel_id": "120329879"}, {"ref": "hrishirajdevsarmah/titanic-survival-prediction", "kernel_id": "120310248"}, {"ref": "tson2956/titanic", "kernel_id": "120773174"}, {"ref": "mucahiddemircan/titanic-survival-prediction", "kernel_id": "120645138"}, {"ref": "worenne/notebook35e0e76b22", "kernel_id": "120057008"}, {"ref": "zaimel/notebook2a7c316658", "kernel_id": "120416671"}, {"ref": "taimisson/getting-started-with-titanic", "kernel_id": "120020510"}, {"ref": "bhaskarjha10/titanic", "kernel_id": "120597398"}, {"ref": "iriyablood/titanic-machine-learning-from-disaster", "kernel_id": "120225794"}, {"ref": "balajin02/titanic-survival-prediction-ensemble-stacking", "kernel_id": "120012995"}, {"ref": "pandadev0069/udemy-titanic-prediction-2-randomforest", "kernel_id": "120739510"}, {"ref": "mnoumanrasheed/titanic-survival-prediction", "kernel_id": "120339767"}, {"ref": "farmerjohn2/getting-started-with-titanic", "kernel_id": "120659821"}, {"ref": "prashantjain22/notebook1671db5388", "kernel_id": "120661873"}, {"ref": "krishnaagarwal26/titanic", "kernel_id": "120053505"}, {"ref": "vryeshwanth/titanic-survival-prediction", "kernel_id": "120611223"}, {"ref": "rudrakshidave/titanic-dataset", "kernel_id": "120352142"}, {"ref": "strawhatsh/titanic-deep-fe-and-eda", "kernel_id": "120563389"}, {"ref": "clemencecadic/ml-titanic-competition", "kernel_id": "120349856"}, {"ref": "cliaa74/titanic-survival-prediction", "kernel_id": "120654450"}, {"ref": "joymietalicuad/exercise-arithmetic-and-variables", "kernel_id": "120293821"}, {"ref": "adrianstasiakroels/intro-to-ai-titanic", "kernel_id": "120773075"}, {"ref": "sanchitkumar2269/titanic-predictions", "kernel_id": "120064655"}, {"ref": "deepikathallapalli/titanic-survival-prediction-eda-random-forest", "kernel_id": "120497412"}, {"ref": "surajit0001/titanic-logistic-regression", "kernel_id": "120460694"}, {"ref": "abidhasan0720/titanic", "kernel_id": "120117569"}, {"ref": "guu0729/titanic-78-95-accurancy-eda-ensemble-learning", "kernel_id": "120282513"}, {"ref": "kumarparijat/titanic-prediction-1", "kernel_id": "120943227"}, {"ref": "charankrishna098/titanic", "kernel_id": "120411674"}, {"ref": "gabrielggz/titanic-notebook", "kernel_id": "120518587"}, {"ref": "shorooghahmadi/exercise-arithmetic-and-variables", "kernel_id": "120260625"}, {"ref": "halimalsereidi/titanic-survival-prediction", "kernel_id": "120458637"}, {"ref": "laxmanyeotiwad/titanic-eda-python-with-lrg-feature-selection", "kernel_id": "120209623"}, {"ref": "sachin7740/notebook0d1aefe323", "kernel_id": "120081757"}, {"ref": "dinokiller607/titanic-logisticreg-model", "kernel_id": "120744182"}, {"ref": "harshajaikumar/notebook741e65dbac", "kernel_id": "120349248"}, {"ref": "crystallis/notebookcf4dfd438f", "kernel_id": "120688131"}, {"ref": "silkedekem/assignment-titanic", "kernel_id": "120430731"}, {"ref": "lzsecurity/titanic-machine-learning-from-disaster", "kernel_id": "120571615"}, {"ref": "gutiguti/notebook619d209cf0", "kernel_id": "120676008"}, {"ref": "ifraduldider/titanic-trial", "kernel_id": "120678418"}, {"ref": "larissakailane/getting-started-with-titanic", "kernel_id": "120749037"}, {"ref": "joaogln/desafiotitanic", "kernel_id": "120789868"}, {"ref": "rabuske/atividade-de-machine-learning-desafio-kaggle", "kernel_id": "120790294"}, {"ref": "sachitkulkarni/notebook2ae74310e6", "kernel_id": "120999266"}, {"ref": "aaliyahrehana/titanic-survival-analysis-using-python", "kernel_id": "120988918"}, {"ref": "amigaaa/getting-started-with-titanic", "kernel_id": "121311932"}, {"ref": "alexandrughiurutan/titanic", "kernel_id": "121680714"}, {"ref": "benogega/ds-p01-titanic-statistics-eda", "kernel_id": "121156411"}, {"ref": "srishtigauraha/titanic-machine-learning-from-disaster-experiment", "kernel_id": "121295081"}, {"ref": "neelkachalia/getting-started-with-titanic", "kernel_id": "121496448"}, {"ref": "neelkachalia/linear-model-and-neural-net-from-scratch", "kernel_id": "121863508"}, {"ref": "neelkachalia/why-you-should-use-a-framework", "kernel_id": "121864491"}, {"ref": "raoabdulhadi/titanic-prediction-model-eda-study", "kernel_id": "121074282"}, {"ref": "ettorerusso/titanic-pi-modelli-a-confronto", "kernel_id": "121311341"}, {"ref": "huzaifasuffian/complete-titanic-eda", "kernel_id": "121120764"}, {"ref": "seonahryu/py-t1-1-iqr-expected-questions", "kernel_id": "121666626"}, {"ref": "prajwalsurya/titanic-eda", "kernel_id": "121267610"}, {"ref": "kamalesh01/kamalesh-titanic", "kernel_id": "121397032"}, {"ref": "adithyanand/titanic-voting-stacking", "kernel_id": "121112190"}, {"ref": "lucascesararruda/titanic", "kernel_id": "121428881"}, {"ref": "priyadarsan03/notebook97b6d5145e", "kernel_id": "121655811"}, {"ref": "kushpuri/guide-for-comprehensive-data-exploration-in-python", "kernel_id": "121267523"}, {"ref": "ameyachopade/titanic-competition", "kernel_id": "121670600"}, {"ref": "adrinpineda/piotesseron-titanic-v2", "kernel_id": "121980360"}, {"ref": "virajsaws/titanic-pracitce-02", "kernel_id": "121053711"}, {"ref": "virajsaws/titanics-3", "kernel_id": "121800606"}, {"ref": "humayun203/titanic-survival-predictions", "kernel_id": "121961345"}, {"ref": "moneidekoba/titanic-eda", "kernel_id": "121308639"}, {"ref": "ahmedabdo997/titanic-eda-notebook", "kernel_id": "121671745"}, {"ref": "jwinner/titanic-tutorial", "kernel_id": "121437833"}, {"ref": "asifnawazmalik/titanic-ml-randomforest", "kernel_id": "121215211"}, {"ref": "aminebelabdelli/notebook4afcb5c454", "kernel_id": "121588554"}, {"ref": "imanyunarnoviadhi/cheatsheet-70-ggplot-charts", "kernel_id": "121541031"}, {"ref": "alisamandari/titanic-survival-analysis-data-analytics-portfol", "kernel_id": "121089674"}, {"ref": "theodorossantos/titanic-who-survived-and-why", "kernel_id": "121330496"}, {"ref": "anshikakataria/titanic-survival-analysis", "kernel_id": "121179874"}, {"ref": "jaytsang/274b62c47e", "kernel_id": "121420358"}, {"ref": "yinghualengyue/titanic", "kernel_id": "121421721"}, {"ref": "aasthabhakar/my-prediction", "kernel_id": "121977287"}, {"ref": "enwenlin/kaggle-titanic", "kernel_id": "121972727"}, {"ref": "rubaiyatzamanraisa/notebook44ae0d9cc6", "kernel_id": "121859386"}, {"ref": "qqqaaavvv/titanic-fe-xgboost-optuna", "kernel_id": "121039776"}, {"ref": "aarthyshree0506/titanic-competition", "kernel_id": "121210722"}, {"ref": "rudrapatwa233/titanic-single-sample-t-test", "kernel_id": "121896748"}, {"ref": "rudrapatwa233/titanic-2-sample-t-test", "kernel_id": "121896759"}, {"ref": "ishratzaman/titanic-survival", "kernel_id": "121325863"}, {"ref": "tenhearts/titanic-competition-new", "kernel_id": "121540744"}, {"ref": "udayawasthi/exercise-arithmetic-and-variables", "kernel_id": "121115162"}, {"ref": "udayawasthi/exploratory-data-analysis-eda-of-titanic-dataset", "kernel_id": "121368031"}, {"ref": "kulkarniparth09/titanic-prediction-using-pipeline", "kernel_id": "121308003"}, {"ref": "hharry11/adaboost-algorithm", "kernel_id": "121234865"}, {"ref": "mirjaloleshmurodov/titanic-survival-prediction-ml-project-app-pipel", "kernel_id": "121641517"}, {"ref": "mofokengkarabelo/titanic", "kernel_id": "121692779"}, {"ref": "mahmoudalawashra/logstic-reggression", "kernel_id": "121391961"}, {"ref": "datawithusman/titanic-complete-eda-and-ml-pipeline", "kernel_id": "121655328"}, {"ref": "akshayasri273/notebook7fd024f74e", "kernel_id": "121070099"}, {"ref": "akshayasri273/titanic-survival-prediction-random-forest", "kernel_id": "121065530"}, {"ref": "zaibunnisazaman0703/titanic-survival-prediction-eda-and-decision-tree", "kernel_id": "121741740"}, {"ref": "m4nnb6/titanic-practice", "kernel_id": "121841841"}, {"ref": "shariarsifat/titanic-machine-learning-from-disaster", "kernel_id": "121570330"}, {"ref": "joymietalicuad/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "121505711"}, {"ref": "adrianstasiakroels/titanic-disaster-using-xgboost-and-cv", "kernel_id": "121019548"}, {"ref": "aryansaraogi007/notebook796b7c0e78", "kernel_id": "121670563"}, {"ref": "usmansysavane009/titanic-eda", "kernel_id": "121407223"}, {"ref": "innocentuguru/getting-started-with-titanic2", "kernel_id": "121812104"}, {"ref": "satyushmohapatra/titanic-dataset-exploratory-data-analysis", "kernel_id": "121852486"}, {"ref": "losttowin/titanic", "kernel_id": "121086771"}, {"ref": "tanishqmalve/notebook927fda9eab", "kernel_id": "121535644"}, {"ref": "riyanshkallu/titanic-xgboost-pipeline-stratified-5-fold-cv", "kernel_id": "121217027"}, {"ref": "lianagragam/titanic-rus-decision-tree-full-pipeline-eda", "kernel_id": "121024576"}, {"ref": "umarshehupaki/exercise-arithmetic-and-variables", "kernel_id": "121322325"}, {"ref": "aimallkhan/exercise-arithmetic-and-variables", "kernel_id": "121006823"}, {"ref": "mohamedmohamedyoynis/titanic-survival-my-first-ml-model-0-777", "kernel_id": "121171456"}, {"ref": "m255219121/exercise-arithmetic-and-variables", "kernel_id": "121656964"}, {"ref": "imthorphin/titanic-my-first-notebook-all-by-myself", "kernel_id": "121933280"}, {"ref": "changchingen/notebooke330f0ce81", "kernel_id": "121801060"}, {"ref": "aisha1617/notebook862adc24a3", "kernel_id": "121756392"}, {"ref": "lovelyrajput/notebook-1stml", "kernel_id": "121925428"}, {"ref": "jhaircardenas/titanic-eda-to-ml-beginner", "kernel_id": "121960507"}, {"ref": "kbpooja/getting-started-with-titanic", "kernel_id": "122136736"}, {"ref": "drmurataltun/vb-90-2-titanic-veri-analizi", "kernel_id": "122186594"}, {"ref": "sumeyyeakcay/vb-yz-titanic-veri-analizi", "kernel_id": "122186599"}, {"ref": "samuelmagondu/notebookda7bc980f0", "kernel_id": "122171863"}, {"ref": "tolgadeirmenci/titanic", "kernel_id": "122186600"}, {"ref": "adrinpineda/piotesseron-titanic-v21", "kernel_id": "122509038"}, {"ref": "foxtrickster/titanic-survival-prediction-a-beginner-friendly-e", "kernel_id": "122921253"}, {"ref": "mahabub001cs/titanic", "kernel_id": "122068152"}, {"ref": "shubrodas/titanic-prediction-by-shubro", "kernel_id": "122698275"}, {"ref": "chivihan/titanic-survival-prediction-76-8-accuracy", "kernel_id": "122060270"}, {"ref": "adamlahouari/notebookabf9b12166", "kernel_id": "122368243"}, {"ref": "thekaggleworld/titanic-survival-analysis-eda", "kernel_id": "122141559"}, {"ref": "suryanshchattree/titanicdataset", "kernel_id": "122287436"}, {"ref": "samratrm/titanic-logistic-regression", "kernel_id": "122069302"}, {"ref": "yesangcho/random-forest-practice-titanic", "kernel_id": "122376894"}, {"ref": "mvpjackli/compose-model-v2", "kernel_id": "122379004"}, {"ref": "hariprasadlk/titanic-prediction", "kernel_id": "122538685"}, {"ref": "zoyaramzan/notebookbc33d1756e", "kernel_id": "122703998"}, {"ref": "wasiqaliyasir/exercise-arithmetic-and-variables", "kernel_id": "122869349"}, {"ref": "mahidodiya/titanic", "kernel_id": "122373883"}, {"ref": "beansauve/titanic-kaggle-competition", "kernel_id": "122380532"}, {"ref": "sakshichaudhary91/knn-imputer-multivariate-imputation", "kernel_id": "122066490"}, {"ref": "sakshichaudhary91/feature-construction-feature-spliting", "kernel_id": "122321186"}, {"ref": "irmakznergiz/titanic-veri-analizi", "kernel_id": "122186601"}, {"ref": "cosmisanushka/titanic-predictions-and-eda", "kernel_id": "122045808"}, {"ref": "udayawasthi/titanic-tutorial", "kernel_id": "122696743"}, {"ref": "srisannith/test-run", "kernel_id": "122617594"}, {"ref": "nathanvigouroux/titanic", "kernel_id": "122720078"}, {"ref": "piyushsingh2025/exercise-arithmetic-and-variables", "kernel_id": "122938858"}, {"ref": "lakshya10122005/exercise-arithmetic-and-variables", "kernel_id": "122080269"}, {"ref": "atharva20041809/titanic-problem-begginer", "kernel_id": "122345285"}, {"ref": "sam24656566/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "122519171"}, {"ref": "sam24656566/titanic-tutorial-93b3a5", "kernel_id": "122518938"}, {"ref": "asherkashif/titanic", "kernel_id": "122888567"}, {"ref": "snehamadhavaram/titanic-eda-feature-engineering-random-forest", "kernel_id": "122675017"}, {"ref": "reijoewellington/titanic-survival-prediction-eda-and-ml", "kernel_id": "122840706"}, {"ref": "selomeze/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "122668481"}, {"ref": "harshalbhaisare/titanic-competition", "kernel_id": "122536587"}, {"ref": "rahmigoktas1635/titanic-dataset", "kernel_id": "122065632"}, {"ref": "thirtysevenhhhh/titanic-gbdt-training", "kernel_id": "122613635"}, {"ref": "thirtysevenhhhh/titanic-bayesian-gb-submit", "kernel_id": "122610903"}, {"ref": "thirtysevenhhhh/titanic-submission", "kernel_id": "122607738"}, {"ref": "matthewjakubowski/titanic-survival-prediction-my-e2e-ml-workflow", "kernel_id": "122007925"}, {"ref": "rishabhgarg2006/pipeline-workflow", "kernel_id": "122963967"}, {"ref": "muhammadummannoor/notebook4afc8af804", "kernel_id": "122714603"}, {"ref": "prantamohajan/notebook874162ecaf", "kernel_id": "122040978"}, {"ref": "innocentuguru/titanic-xgboost", "kernel_id": "122716400"}, {"ref": "innocentuguru/titanic-xgboost-ft-eng", "kernel_id": "122899151"}, {"ref": "lnsdprasad/code004", "kernel_id": "122124009"}, {"ref": "ayesha433/basic-data-structure", "kernel_id": "122166982"}, {"ref": "tecet1111/py-t1-1-iqr", "kernel_id": "122447620"}, {"ref": "vanikmanukyan/notebook2573de5d2c", "kernel_id": "122009095"}, {"ref": "imthorphin/my-first-time-in-kaggle", "kernel_id": "122087272"}, {"ref": "hari12gfn/week1-t3", "kernel_id": "122125768"}, {"ref": "hari12gfn/week1-t2", "kernel_id": "122126808"}, {"ref": "lakshmibrahmani24/notebook8b8dd90448", "kernel_id": "122445210"}, {"ref": "shreyasramanujan/notebook40da437a5d", "kernel_id": "122426767"}, {"ref": "shreyasramanujan/notebooke25ddd3602", "kernel_id": "122634129"}, {"ref": "linan037/notebook1746615a7b", "kernel_id": "122692971"}, {"ref": "koyalmishra/notebookd6b1abef73", "kernel_id": "122075162"}, {"ref": "svarshinii/notebookc5a46ce5e9", "kernel_id": "122065742"}, {"ref": "nehalchau/notebooknehalchau", "kernel_id": "122182652"}, {"ref": "shreyaverma03data/task-1-titanic-machine-learning", "kernel_id": "122343775"}, {"ref": "adilalirayeen/notebook-2", "kernel_id": "122983696"}, {"ref": "umehpromise2026/exercise-arithmetic-and-variables", "kernel_id": "122393462"}, {"ref": "tejandas/titanic-dataset-eda", "kernel_id": "122704210"}, {"ref": "musman66/242370103", "kernel_id": "122720653"}, {"ref": "irem1206/titanic", "kernel_id": "122878076"}, {"ref": "amigaaa/titanic-task-2", "kernel_id": "123246256"}, {"ref": "alielhenidy/session-6-pandas-tutorial", "kernel_id": "123282663"}, {"ref": "keta108/python-kaggle-start-book-starter", "kernel_id": "123770163"}, {"ref": "rodolphoneves/elt574-titanic-2026-1", "kernel_id": "123752001"}, {"ref": "kenichiarai/tid-basemodel-01", "kernel_id": "123765194"}, {"ref": "gowrishankarp/titanic-survival-groups-03002zr3", "kernel_id": "123760070"}, {"ref": "vitalimakarau/fork-of-titanic-v2-full", "kernel_id": "123171000"}, {"ref": "wmh0331/notebook81f730bb9f", "kernel_id": "123827146"}, {"ref": "ayamrabah/titanic", "kernel_id": "123681582"}, {"ref": "chetankumarpulipati/titanic-survival-prediction", "kernel_id": "123093150"}, {"ref": "alessandrobenevelli/getting-started-with-titanic", "kernel_id": "123843079"}, {"ref": "kotleha/titanic-portfolio-ml-v2", "kernel_id": "123211034"}, {"ref": "mirmurtazazangejo/titanic-ml-model", "kernel_id": "123787719"}, {"ref": "browfy/notebook8c5fc60e09", "kernel_id": "123837260"}, {"ref": "mostafizurrahaman2/titanic-new", "kernel_id": "123724360"}, {"ref": "pierfr/titanic-start", "kernel_id": "123115069"}, {"ref": "kumasuke16/notebook1c7d0f31cc", "kernel_id": "123835943"}, {"ref": "shunki7kan/notebook090a003f6c", "kernel_id": "123827422"}, {"ref": "sambarrett1/cp3501-prac-05-part-01-samuelbarrett", "kernel_id": "123319077"}, {"ref": "yuhanwang717/notebook816058e1bb", "kernel_id": "123834868"}, {"ref": "tryonejamal/notebook43229c65f2", "kernel_id": "123587399"}, {"ref": "yudaimima/notebook-titanic", "kernel_id": "123853007"}, {"ref": "tankharsh07/titanic-pipeline-with-columntransformer", "kernel_id": "123241708"}, {"ref": "kishankushavaha/titanic-survival-prediction", "kernel_id": "123035630"}, {"ref": "h444inkaggle/notebooke7969a2c98", "kernel_id": "123839260"}, {"ref": "phakphoomwongchaiya/titanic-notebook", "kernel_id": "123455781"}, {"ref": "lotfimanseur/titanic-survival-predicion", "kernel_id": "123128670"}, {"ref": "hachihachi88/notebookab2683b273", "kernel_id": "123835658"}, {"ref": "mmxinaida/titanic-ia-ifrs", "kernel_id": "123521225"}, {"ref": "kainenosborne/notebookd3aa4871be", "kernel_id": "123056629"}, {"ref": "anushachukkaanusha/titanic-end-to-end-ml-pipeline", "kernel_id": "123122552"}, {"ref": "wyuong/notebook0cc9bacc2f", "kernel_id": "123539697"}, {"ref": "leahgibbons/titanic-competition-entry", "kernel_id": "123163350"}, {"ref": "yoikoarmor/titanic-get-started-jp", "kernel_id": "123787821"}, {"ref": "matthewgrega/notebook6bdd76daa3", "kernel_id": "123608822"}, {"ref": "sarthak465/notebook0747a5efe9", "kernel_id": "123393140"}, {"ref": "abdirahmanmali/titanic-analysis-competition", "kernel_id": "123590632"}, {"ref": "nathnael6/notebooka387afd17f", "kernel_id": "123476685"}, {"ref": "nathnael6/notebookfd7f721f36", "kernel_id": "123467940"}, {"ref": "momoneykahlon/titanic", "kernel_id": "123460123"}, {"ref": "udayawasthi/titanic-without-using-pipeline", "kernel_id": "123421233"}, {"ref": "udayawasthi/titanic-using-pipeline", "kernel_id": "123252198"}, {"ref": "vasuuu2005/titanic-machine-learning-from-disaster", "kernel_id": "123450631"}, {"ref": "seiyakawaguchi/notebookd005eaa999", "kernel_id": "123827876"}, {"ref": "adorkableqvq/notebook8d051eac2d", "kernel_id": "123842457"}, {"ref": "adithijahnavi/agentic-data-science-with-nvidia-nemotron", "kernel_id": "123167488"}, {"ref": "younghoocheon/fastai-lesson-5b-use-a-framework", "kernel_id": "123212912"}, {"ref": "younghoocheon/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123206651"}, {"ref": "minthihakhine/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123207693"}, {"ref": "zhaoyouyang/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123198743"}, {"ref": "zhaoyouyang/fastai-lesson-5b-use-a-framework", "kernel_id": "123202851"}, {"ref": "isaacwsh/notebook616952d3a5", "kernel_id": "123198913"}, {"ref": "isaacwsh/notebookcf339b1b42", "kernel_id": "123200066"}, {"ref": "yijieliscott/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123191510"}, {"ref": "yijieliscott/yijieli-task2-prac5", "kernel_id": "123192257"}, {"ref": "asuka520/linear-model-and-neural-net-from-scratch", "kernel_id": "123218632"}, {"ref": "bhonemyatkyawthu/notebook9d092ff3f8", "kernel_id": "123215850"}, {"ref": "bhonemyatkyawthu/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123208127"}, {"ref": "bhonemyatkyawthu/fastai-lesson-5b-use-a-framework", "kernel_id": "123210369"}, {"ref": "darwinjonathan/fastai-lesson-5b-use-a-framework", "kernel_id": "123202119"}, {"ref": "muskanbishnoi1/titanic-eda-baseline-model-beginner-friendly", "kernel_id": "123915151"}, {"ref": "yuriymikityuk/titanic-top-5-0-804-woman-child-group-trick", "kernel_id": "123446648"}, {"ref": "yuriymikityuk/titanic-preprocessing-your-first-model", "kernel_id": "123452852"}, {"ref": "yuriymikityuk/titanic-eda-for-beginners", "kernel_id": "123451838"}, {"ref": "kerinoras/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123619392"}, {"ref": "jeysoncarmona01/titanic-survival-prediction", "kernel_id": "123893002"}, {"ref": "sijia2002/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123198312"}, {"ref": "sijia2002/why-you-should-use-a-framework", "kernel_id": "123202559"}, {"ref": "m4nnb6/titanic-final", "kernel_id": "123385388"}, {"ref": "m4nnb6/titanic-submission", "kernel_id": "123387632"}, {"ref": "benjaynes/csb320-kagglecompetition", "kernel_id": "123432388"}, {"ref": "mrlakes/default-solution", "kernel_id": "123200593"}, {"ref": "tamakiniki/notebook7dea38d822", "kernel_id": "123835377"}, {"ref": "usmansysavane009/titanic-classification-model", "kernel_id": "123454810"}, {"ref": "essimofatimazahra/exercise-arithmetic-and-variables", "kernel_id": "123493075"}, {"ref": "trumanlearnscode/titanic", "kernel_id": "123786679"}, {"ref": "rfvasile/predicting-titanic-survivors-via-random-forest", "kernel_id": "123174183"}, {"ref": "akimarukotaro/kaggle-titanic", "kernel_id": "123518764"}, {"ref": "mudrock09210921/notebook655fdfb4cd", "kernel_id": "123205009"}, {"ref": "bennychawoonloong/fastai-lesson-5b-use-a-framework", "kernel_id": "123200053"}, {"ref": "bennychawoonloong/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123198184"}, {"ref": "axeljcu/notebook15b28ce4f7", "kernel_id": "123208730"}, {"ref": "axeljcu/linear-model-and-neural-net-from-scratch", "kernel_id": "123195644"}, {"ref": "sunday529/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123198759"}, {"ref": "sunday529/notebooka879316ad2", "kernel_id": "123202827"}, {"ref": "bvm123/fastai-lesson-5b-use-a-framework", "kernel_id": "123210246"}, {"ref": "moekhant/fastai-lesson-5b-use-a-framework", "kernel_id": "123209678"}, {"ref": "moekhant/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123207506"}, {"ref": "shizonglin/linear-model-and-neural-net-from-scratch-fixed", "kernel_id": "123224188"}, {"ref": "l1angj/fastai-lesson-5b-use-a-framework", "kernel_id": "123225146"}, {"ref": "l1angj/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123218451"}, {"ref": "yjh20021030/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123218469"}, {"ref": "yjh20021030/notebook61b30a3115", "kernel_id": "123220978"}, {"ref": "steenpeter/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123219483"}, {"ref": "jiahewang66/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123218257"}, {"ref": "zhongruichen147/fastai-lesson-5-linear-model-and-neural-net-fed815", "kernel_id": "123220293"}, {"ref": "zhongruichen147/fastai-lesson-5b-use-a-framework", "kernel_id": "123224542"}, {"ref": "ameliawilson3994/week-5-task-1", "kernel_id": "123324678"}, {"ref": "ameliawilson3994/week-5-task-2", "kernel_id": "123326184"}, {"ref": "gagandeepgambhir2/exercise-arithmetic-and-variables", "kernel_id": "123575699"}, {"ref": "chongjiemo/w5task2", "kernel_id": "123262284"}, {"ref": "chongjiemo/w5task3", "kernel_id": "123250946"}, {"ref": "chongjiemo/w5task1", "kernel_id": "123258407"}, {"ref": "cuiyang126/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123207521"}, {"ref": "cuiyang126/notebookeca22fca0e", "kernel_id": "123212749"}, {"ref": "banyoo/titanic", "kernel_id": "123834292"}, {"ref": "kithsothearith/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123218456"}, {"ref": "kithsothearith/notebook616b8f7a91", "kernel_id": "123223549"}, {"ref": "hiteshanalyst/competition-notebook-titanic-dataset", "kernel_id": "123250641"}, {"ref": "anikachukka/getting-started-with-titanic", "kernel_id": "123167225"}, {"ref": "serhattredi/titanic-veri-analizi", "kernel_id": "123154452"}, {"ref": "minadukki/notebookdda0524bc9", "kernel_id": "123827482"}, {"ref": "ysresearch/notebook934a81b88f", "kernel_id": "123827594"}, {"ref": "mitsuwo/notebook83adcfb738", "kernel_id": "123830594"}, {"ref": "kmysa6505/notebook0aebd5425a", "kernel_id": "123835467"}, {"ref": "tufe11/notebook3df9a35951", "kernel_id": "123856068"}, {"ref": "tsugoyuvgyi/notebook42b2e9c9c5", "kernel_id": "123784819"}, {"ref": "soniene/notebook562ca4d3df", "kernel_id": "123827834"}, {"ref": "amen045/notebook29f827849b", "kernel_id": "123832590"}, {"ref": "bushrajaved18/notebook38bef53752", "kernel_id": "123691730"}, {"ref": "psyqidc39/notebookabb888abd8", "kernel_id": "123828327"}, {"ref": "takumi0084/notebook745d88988d", "kernel_id": "123834672"}, {"ref": "kylinj0817/notebookdcb6c15bae", "kernel_id": "123774710"}, {"ref": "taiyoimamura/20260619-titanic", "kernel_id": "123855319"}, {"ref": "seguuu/notebook08d2815e5f", "kernel_id": "123827535"}, {"ref": "twinkstar/notebookde4ee4d645", "kernel_id": "123827361"}, {"ref": "aaaaaaaaaaabcc/notebook296df0dcfd", "kernel_id": "123832542"}, {"ref": "jamch3691/titanic-jamch3691", "kernel_id": "123042611"}, {"ref": "hiyorikoyanagi/notebookead80c87b2", "kernel_id": "123827731"}, {"ref": "fabianuchendu101/prac5-task1-linear-model-by-hand", "kernel_id": "123655913"}, {"ref": "fabianuchendu101/prac5-task2-fastai-titanic", "kernel_id": "123660835"}, {"ref": "pino555/notebook06c65d12d9", "kernel_id": "123827423"}, {"ref": "fatemehdz/notebookecnn", "kernel_id": "123890583"}, {"ref": "rajeshduraivelu/notebook10a7c83099", "kernel_id": "123159202"}, {"ref": "ningeeen/notebook22de3b6afd", "kernel_id": "123889568"}, {"ref": "kasaiyaaaaaaa/notebookebb773e421", "kernel_id": "123818181"}, {"ref": "caetanomatos/titanic", "kernel_id": "123521131"}, {"ref": "alanschwade/notebooka18bcd70b2", "kernel_id": "123944463"}, {"ref": "subaru103/notebook2565f25c81", "kernel_id": "123820331"}, {"ref": "yuseyuse14/notebookd49fbbadf1", "kernel_id": "123831105"}, {"ref": "oreoreokun/notebookb0e7a731d1", "kernel_id": "123827175"}, {"ref": "yuyuyuyu324087/notebookf0c0f103a3", "kernel_id": "123827442"}, {"ref": "miyamotosota/notebooke9205bfae3", "kernel_id": "123827446"}, {"ref": "takanamentai/notebook355da3715a", "kernel_id": "123827688"}, {"ref": "tsunamayomayo/notebook08f2417fe9", "kernel_id": "123835027"}, {"ref": "siokonnbu/notebook3bc62cae9b", "kernel_id": "123848786"}, {"ref": "shivamkushwaha2305/exercise-arithmetic-and-variables", "kernel_id": "123698419"}, {"ref": "t15243/notebookdd2320cacc", "kernel_id": "123830325"}, {"ref": "k03151/notebook589dcb66a1", "kernel_id": "123839991"}, {"ref": "lapine23/notebook0da9a1c183", "kernel_id": "123782410"}, {"ref": "fujikawaakua/notebookc396b57716", "kernel_id": "123827449"}, {"ref": "bbtsts/notebook5387a2d0ec", "kernel_id": "123834340"}, {"ref": "aina0310/notebookc67b1a74ab", "kernel_id": "123827400"}, {"ref": "kotomi5103/notebookb34e034d33", "kernel_id": "123827604"}, {"ref": "phononphoton/notebookb5ee77d949", "kernel_id": "123822965"}, {"ref": "ryoto12/notebookab4d490ebb", "kernel_id": "123827461"}, {"ref": "yoneuri/notebookbff671ff26", "kernel_id": "123827398"}, {"ref": "nitako/notebook585203e55d", "kernel_id": "123834139"}, {"ref": "adolfoavila/exercise-arithmetic-and-variables", "kernel_id": "123770978"}, {"ref": "zzznemutai/notebook7277b71443", "kernel_id": "123837785"}, {"ref": "shotamorimori/notebook10456f91a5", "kernel_id": "123834028"}, {"ref": "mini0504/notebook7a57bf26ea", "kernel_id": "123827444"}, {"ref": "aki09252/notebook6362a5aa52", "kernel_id": "123834085"}, {"ref": "aki09252/notebookc95e26a738", "kernel_id": "123838209"}, {"ref": "kodanuki/notebook8ff0edce29", "kernel_id": "123833487"}, {"ref": "kakiage/notebook3877ee84bc", "kernel_id": "123834439"}, {"ref": "jackycstku/notebooke9b25a365d-copied", "kernel_id": "123823043"}, {"ref": "yorozu800/titanic-yorozu800", "kernel_id": "123835258"}, {"ref": "masato25/notebook541b6e4727", "kernel_id": "123787967"}, {"ref": "tsunodasou/notebookc6ad4a1ddf", "kernel_id": "123827627"}, {"ref": "meikou39/notebook2b09c12e8b", "kernel_id": "123827644"}, {"ref": "kanatatsu/notebook5a3ac71798", "kernel_id": "123833893"}, {"ref": "shinpeinishimura/notebook6d18f137f0", "kernel_id": "123830314"}, {"ref": "shinpeinishimura/notebook5ba801eb7c", "kernel_id": "123833157"}, {"ref": "riri1464/notebookf1ff828a2a", "kernel_id": "123827403"}, {"ref": "moriemisaki/notebook43bb010600", "kernel_id": "123836627"}, {"ref": "mito1522/notebook16816f662c", "kernel_id": "123834080"}, {"ref": "rqxw2v33lzrwm/notebookeba54de2f4", "kernel_id": "123827372"}, {"ref": "soranishii/notebook6f16f8aef6", "kernel_id": "123827406"}, {"ref": "sakimorimoto/notebook9c3135d6ba", "kernel_id": "123964777"}, {"ref": "naoki1002/notebook84e0fe0a0e", "kernel_id": "123827450"}, {"ref": "naoki1002/notebook16a58bec20", "kernel_id": "123850720"}, {"ref": "mawamakeruna/notebook109f353ad7", "kernel_id": "123825496"}, {"ref": "combcomb/notebookc9ef65ee1d", "kernel_id": "123824285"}, {"ref": "combcombcomb/notebookb1604b3bc2", "kernel_id": "123835196"}, {"ref": "polaristk23/datascience10", "kernel_id": "123827353"}, {"ref": "hiyoko30/notebookfb7023dea7", "kernel_id": "123827931"}, {"ref": "timocha26/notebookb06fbc6323", "kernel_id": "123827436"}, {"ref": "aratakuramoto/notebook665761d06c", "kernel_id": "123827512"}, {"ref": "redmouse128/notebooke9b25a365d", "kernel_id": "123839912"}, {"ref": "u06k10ttuni/notebook8a3e3c618b", "kernel_id": "123827582"}, {"ref": "mono2026/notebook86cc44b508", "kernel_id": "123829755"}, {"ref": "tatsumayamaguchi/notebook216aeaf31e", "kernel_id": "123832966"}, {"ref": "m18b0919/notebook85081ae95d", "kernel_id": "123827358"}, {"ref": "horiyuki0518/notebook0f1c106b17", "kernel_id": "123827343"}, {"ref": "harutotakumi/notebook9dccbe7d4b", "kernel_id": "123838135"}, {"ref": "takusugi/notebook3db7372660", "kernel_id": "123836064"}, {"ref": "takusugi/notebooke9b25a365d-427f6b", "kernel_id": "123830875"}, {"ref": "mizukimorimoto/notebook598f757e85", "kernel_id": "123836754"}, {"ref": "fujiiyuna/notebook0bd1af73ac", "kernel_id": "123890325"}, {"ref": "takeseryosuke/titanic-competition", "kernel_id": "123827441"}, {"ref": "jamiroquai2003/titanic", "kernel_id": "123834380"}, {"ref": "mkkkkk04/notebookb8229a950e", "kernel_id": "123827215"}, {"ref": "nishidadairen/notebookf7730ef7cc", "kernel_id": "123827409"}, {"ref": "shojichikara/notebook9ba4795aa3", "kernel_id": "123828595"}, {"ref": "hirayamaharuki/notebook03fcfc2dcc", "kernel_id": "123837983"}, {"ref": "yumikusumoto/notebook9e6d872033", "kernel_id": "123827474"}, {"ref": "d2user/notebook8d42b0ce14", "kernel_id": "123827642"}, {"ref": "ryotajika/ryo-tajika", "kernel_id": "123827370"}, {"ref": "kazu95/notebookd25a29c745", "kernel_id": "123827427"}, {"ref": "atsuyakidoguchi/notebook030130fc36", "kernel_id": "123839802"}, {"ref": "dainabando/titanic-practice", "kernel_id": "123837193"}, {"ref": "pamikora/notebook975f8b0855", "kernel_id": "123827762"}, {"ref": "yuwa20041/612635023-arakiyuwa", "kernel_id": "123827510"}, {"ref": "rentoogou/notebookd69b18140d", "kernel_id": "123853255"}, {"ref": "yutahishinuma/notebookecd30a4c8b", "kernel_id": "123835020"}, {"ref": "abcde1928/notebook6cb61a91e4", "kernel_id": "123834655"}, {"ref": "sakiroki/notebook034ddd2b16", "kernel_id": "123833027"}, {"ref": "masakiusui/titanickadai0619", "kernel_id": "123833892"}, {"ref": "yudaiyyyy/notebooke83c106f76", "kernel_id": "123845816"}, {"ref": "takeshitakeoka/notebook133558e02c6", "kernel_id": "123846662"}, {"ref": "takeshitakeoka/notebook13358e02c6", "kernel_id": "123832373"}, {"ref": "hiro6126370028/notebook742a89483b", "kernel_id": "123830334"}, {"ref": "emikohei/notebookab2ba5d28d", "kernel_id": "123964801"}, {"ref": "masugataryunosuke/notebookbd2ef7e76f", "kernel_id": "123832183"}, {"ref": "kimuraharuki/notebook9eb5bbe59b", "kernel_id": "123835851"}, {"ref": "kotakakujp/notebook1947c00c3c", "kernel_id": "123836676"}, {"ref": "fujimotokotaro/notebook5ef12fe3d4", "kernel_id": "123845509"}, {"ref": "aannddoo/notebook1ae5ea48e2", "kernel_id": "123827677"}, {"ref": "kentaroh1028/notebook6846059b82", "kernel_id": "123835044"}, {"ref": "makonade/notebook704aa1d2d8", "kernel_id": "123827698"}, {"ref": "takahashiiii/notebook653214cb3a", "kernel_id": "123981588"}, {"ref": "kiyo06/notebook52835581ae", "kernel_id": "123828962"}, {"ref": "minamizawayuu/notebookab5bfdf7ad", "kernel_id": "123835728"}, {"ref": "tsutsumitoa/notebookce784778cc", "kernel_id": "123837103"}, {"ref": "nakamurarito/notebookd1ab426bba", "kernel_id": "123951513"}, {"ref": "hachi8836/notebookf9ce187b15", "kernel_id": "123837557"}, {"ref": "ko15516/notebookd23550b58c", "kernel_id": "123834853"}, {"ref": "yuto751635/notebook33ac197dbe", "kernel_id": "123981787"}, {"ref": "masudahidenori/notebook622cbecaf1", "kernel_id": "123836672"}, {"ref": "konkichii/notebookf910b7b363", "kernel_id": "123828494"}, {"ref": "sandal746/notebook96bc5fdc69", "kernel_id": "123828394"}, {"ref": "naoyukiokumura/notebook1ba131f986", "kernel_id": "123838454"}, {"ref": "shuseisakai/notebookf7472a67bc", "kernel_id": "123984843"}, {"ref": "shuseisakai/notebook06c1078ec5", "kernel_id": "123988469"}, {"ref": "koukiooguchi/notebookc8e74e82cd", "kernel_id": "123828486"}, {"ref": "c612634049/notebook5273ce04c5", "kernel_id": "123897747"}, {"ref": "ngt12345/notebook9296f4c9e1", "kernel_id": "123852262"}, {"ref": "shiinotomohito/notebook0139afbeb6", "kernel_id": "123833956"}, {"ref": "shiinotomohito/notebook175024aaf2", "kernel_id": "123828625"}, {"ref": "banami/notebook32b58bc5ef", "kernel_id": "123833906"}, {"ref": "eitarodeveloper/notebook79cd282175", "kernel_id": "123828951"}, {"ref": "fluidsengineering/notebook758ad9325b", "kernel_id": "123829098"}, {"ref": "yamajiousuke/notebook09e918712d", "kernel_id": "123834477"}, {"ref": "arisaniinobe/notebook372d83349e", "kernel_id": "123862399"}, {"ref": "hayashi1613/notebook962a194981", "kernel_id": "123830987"}, {"ref": "banana117117/data-science", "kernel_id": "123830797"}, {"ref": "yamashitataisei/notebookacc490b0bc", "kernel_id": "123831931"}, {"ref": "hyskn030515/notebook0b968b07ae", "kernel_id": "123832259"}, {"ref": "ryoseioshita/notebooka12e9f08a1", "kernel_id": "123833979"}, {"ref": "mimibaeya/notebooke0667bbce3", "kernel_id": "123834714"}, {"ref": "missy515/notebookf7271b0266", "kernel_id": "123834711"}, {"ref": "kentayanai/notebookb89a928102", "kernel_id": "123834002"}, {"ref": "kumekosuke/notebook6b00e58d3f", "kernel_id": "123833978"}, {"ref": "hatanakashim/notebooke62c1ce751", "kernel_id": "123834562"}, {"ref": "kawatakentaro/notebook988aeba6b2", "kernel_id": "123834496"}, {"ref": "sogasa/notebook9935f3a2c4", "kernel_id": "123835137"}, {"ref": "kazukiseki/notebook6991ff3e0d", "kernel_id": "123834883"}, {"ref": "shinjinmuramatsu/notebook8d9cdea0fb", "kernel_id": "123834402"}, {"ref": "tomoadachi/notebook034fd832d9", "kernel_id": "123971620"}, {"ref": "okumurayudai/notebook6275bcb522", "kernel_id": "123846808"}, {"ref": "lililliililill/notebook4f04908dfb", "kernel_id": "123838850"}, {"ref": "yyoshikawa0330/notebook835a593f5d", "kernel_id": "123835527"}, {"ref": "kenjihama/titanic-machine-learning-from-disaster", "kernel_id": "123863679"}, {"ref": "yamashitamomoko/notebook9383540950", "kernel_id": "123837361"}, {"ref": "yoshidajun/notebooka1ba457d63", "kernel_id": "123834769"}, {"ref": "eijinkawai/notebookf4b04ddcce", "kernel_id": "123835033"}, {"ref": "onishitokudai/notebook79b3d960d0", "kernel_id": "123838482"}, {"ref": "detaaisennsu0619/notebookbed58fd154", "kernel_id": "123834892"}, {"ref": "kento0811/notebookb9e3856c2f", "kernel_id": "123834639"}, {"ref": "hinata0315/notebooke78e609324", "kernel_id": "123886154"}, {"ref": "tkawano0202/notebookca8ab42767", "kernel_id": "123840075"}, {"ref": "akitonton4r/notebook858acfbbc5", "kernel_id": "123850853"}, {"ref": "sonemizuki/notebook4dabad78f9", "kernel_id": "123835646"}, {"ref": "htg1111/notebook1d1f6852a9", "kernel_id": "123834739"}, {"ref": "shin53taro89/notebookd4e2eab8de", "kernel_id": "123834980"}, {"ref": "keiwatanabetm/notebook319c919542", "kernel_id": "123836866"}, {"ref": "kohinn/notebook6bfb943f9d", "kernel_id": "123834913"}, {"ref": "satoru1203/notebook914d76dd7d", "kernel_id": "123871350"}, {"ref": "kusumotokentaro/notebook27d014f6f5", "kernel_id": "123843528"}, {"ref": "zexianzhao/notebookead984a687", "kernel_id": "123835124"}, {"ref": "taiga0121/notebook84abfab8ea", "kernel_id": "123835663"}, {"ref": "kocha600000/notebook8494c86284", "kernel_id": "123835754"}, {"ref": "uenoryuki/titanic", "kernel_id": "123835253"}, {"ref": "xialiyang/notebookd39199120c", "kernel_id": "123837959"}, {"ref": "nitanita1/notebook5bf80af547", "kernel_id": "123969574"}, {"ref": "linxitokushima/notebook58f559af05", "kernel_id": "123857613"}, {"ref": "shion131203/notebookf52893bc9e", "kernel_id": "123837217"}, {"ref": "yuikashihara/notebook49f0b8b314", "kernel_id": "123838257"}, {"ref": "kanayamamasato/notebook623a6cc4a5", "kernel_id": "123836438"}, {"ref": "naoki0722/notebook9dfba7d11a", "kernel_id": "123837016"}, {"ref": "daichimorinishi/notebook377b2ccc61", "kernel_id": "123836296"}, {"ref": "nakokimura/notebookd5f263e0d2", "kernel_id": "123836303"}, {"ref": "c612634025/notebook8d48036d62", "kernel_id": "123849194"}, {"ref": "takaeshunichi/notebook8ff7c8b30f", "kernel_id": "123979984"}, {"ref": "kajimasaki/notebook8e1b7133fb", "kernel_id": "123836498"}, {"ref": "tsuchiyatakeru/notebookf9957951ad", "kernel_id": "123837883"}, {"ref": "sugiyamasosuke/notebookdd98cb1659", "kernel_id": "123876885"}, {"ref": "konosukechiyo/notebook24e6e17e4c", "kernel_id": "123836885"}, {"ref": "yagisouta1030/notebook03b4257c9f", "kernel_id": "123837049"}, {"ref": "shinyasato1007/notebook7650bb2299", "kernel_id": "123837339"}, {"ref": "abc1998415jp/notebook2932751665", "kernel_id": "123839025"}, {"ref": "uedaryohei0000/notebook844e70b765", "kernel_id": "123838418"}, {"ref": "yoheifujii/notebook12e6e949a0", "kernel_id": "123838424"}, {"ref": "koreruu/notebook15b55d8c70", "kernel_id": "123839348"}, {"ref": "tshogo/notebookf4ef1b6782", "kernel_id": "123839243"}, {"ref": "gorigori4/notebook3125c8bff7", "kernel_id": "123839247"}, {"ref": "hoshinotoi/titanic-analysis-3", "kernel_id": "123852365"}, {"ref": "shunsukekita/notebookc022a1dd20", "kernel_id": "123881473"}, {"ref": "huaiyuteng/notebook698ad8d9a0", "kernel_id": "123847665"}, {"ref": "komutanozomi/notebooka252b74e58", "kernel_id": "123852457"}, {"ref": "tokuchenji/notebook048c0f1032", "kernel_id": "123855433"}, {"ref": "fujimotomizuki/notebook6b8a54e8d4", "kernel_id": "123856285"}, {"ref": "masakitakechi/notebookc3046fa663", "kernel_id": "123879315"}, {"ref": "lihaolunn/notebook80dc70ba45", "kernel_id": "123884568"}, {"ref": "kokihatakeyama/notebook572fcbde2b", "kernel_id": "123888003"}, {"ref": "mikumiyaguchi/kaggle10", "kernel_id": "123892096"}, {"ref": "ichirinmatsuue/notebook543a1dcf42", "kernel_id": "123913346"}, {"ref": "naguraharuka/6126310100-naguraharuka", "kernel_id": "123980748"}, {"ref": "hirataayumu/notebook6e182a71de", "kernel_id": "123989237"}, {"ref": "shokiyariba/notebook83a2b95871", "kernel_id": "123996259"}, {"ref": "anntitta/titanic-model", "kernel_id": "124390707"}, {"ref": "venturero/titanic-81-1-leader-board-score-guaranteed", "kernel_id": "124558639"}, {"ref": "akitasotaro/notebooke1ed471db9", "kernel_id": "124223506"}, {"ref": "sagnikbiswas000/titanic-could-you-have-survived", "kernel_id": "124094361"}, {"ref": "faroukaliyu/exercise-arithmetic-and-variables", "kernel_id": "124771523"}, {"ref": "ammadyounas/assignment-2-titanic-machine-learning-from-d", "kernel_id": "124794062"}, {"ref": "aamir28/titanic-30-day-competition-notebook", "kernel_id": "124642131"}, {"ref": "perastra/titanic-xgboost-pipeline-clean", "kernel_id": "124389954"}, {"ref": "perastra/titanic-decision-tree-baseline", "kernel_id": "124388912"}, {"ref": "perastra/titanic-logistic-regression-eda", "kernel_id": "124388915"}, {"ref": "sanjayakashv/titanic-task", "kernel_id": "124622553"}, {"ref": "allenvantay/lab1kaggle", "kernel_id": "124411306"}, {"ref": "talhariaz2003/assignment-2", "kernel_id": "124783783"}, {"ref": "clementfromfrance/titanic-competition", "kernel_id": "124018530"}, {"ref": "sambarrett1/cp3501-prac-05-part-02-samuelbarrett", "kernel_id": "124143794"}, {"ref": "fukikonobe/notebook49a219709b", "kernel_id": "124003185"}, {"ref": "ankitaj1989/notebook18f4193637", "kernel_id": "124086156"}, {"ref": "muhammadraqeeb03/titanic-ml-from-disaster", "kernel_id": "124747825"}, {"ref": "kalashthakre/titanic-dataset-pandas-practice-with-question", "kernel_id": "124770356"}, {"ref": "ricardocolli/titanic-desafio", "kernel_id": "124712317"}, {"ref": "mudassarbajwa/a02-titanic-machine-learning-from-disaster", "kernel_id": "124694551"}, {"ref": "seeratfatima02/assignment-2-seerat-70158055", "kernel_id": "124739885"}, {"ref": "melsmartirosyan00/titanicnet-1", "kernel_id": "124164888"}, {"ref": "abdullahmehmood242/abdullah-mehmood-assignment-2", "kernel_id": "124792153"}, {"ref": "sadiaq184/assignment-02-sadia-qaisar", "kernel_id": "124731829"}, {"ref": "zabirana875/assignment-no2ml", "kernel_id": "124737570"}, {"ref": "zabirana875/ml-assignment-no2", "kernel_id": "124740386"}, {"ref": "nayab70169597/assignment-2-nayab-ashraf-70169597", "kernel_id": "124745923"}, {"ref": "zeeshansarim/assignment-no-2-muhammad-zeeshan-sarim", "kernel_id": "124769705"}, {"ref": "abdqayyum/abd-qayyum-assignment-2", "kernel_id": "124770781"}, {"ref": "soumikkaran/notebookf203a9e051", "kernel_id": "124942054"}, {"ref": "yogeshm01/catboost-for-beginners-complete-guide", "kernel_id": "124238236"}, {"ref": "mani14112006/day-1-2-3", "kernel_id": "124502845"}, {"ref": "nickdire/notebook63e0a0c640", "kernel_id": "124528643"}, {"ref": "mty918/notebook958ed321bd", "kernel_id": "124191538"}, {"ref": "dzikriraihan/titanic-survival-prediction-logistic-regression", "kernel_id": "124143022"}, {"ref": "gabrielcarboneri/kaggle-pratica", "kernel_id": "124537280"}, {"ref": "qizhengye/titanic", "kernel_id": "124145464"}, {"ref": "maryamanwar104/titanic-disaster", "kernel_id": "124824894"}, {"ref": "aryansinghbais/notebook65502c49eb", "kernel_id": "124243816"}, {"ref": "uodaikunn/notebooka295194d16", "kernel_id": "124326188"}, {"ref": "aadikaggle123/titanic-ml-notebook", "kernel_id": "124636272"}, {"ref": "souravkuma8084/eda-titanic-dataset", "kernel_id": "124678326"}, {"ref": "abdullahnaeem151015/titanic-survival-prediction-using-machine-learning", "kernel_id": "124372274"}, {"ref": "evanxie1/notebookf081e3a2d3", "kernel_id": "124379569"}, {"ref": "evanxie1/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "124366452"}, {"ref": "c0dingf1sh/titanic-model-3-0", "kernel_id": "124210052"}, {"ref": "kbraparmak/titanic-disaster", "kernel_id": "124964593"}, {"ref": "tahazarei/titanic-survival-prediction", "kernel_id": "124352780"}, {"ref": "nidanaveed123/assignment-2", "kernel_id": "124792370"}, {"ref": "sidyhsaleem/assignment-2", "kernel_id": "124731263"}, {"ref": "mishiiikhan/assignment-2", "kernel_id": "124724181"}, {"ref": "infinitepraveen/titanic-survival-predictions-ipynb", "kernel_id": "124063475"}, {"ref": "kusatsu0932/notebook330a412d41", "kernel_id": "124269855"}, {"ref": "ruanvasconcelos/notebook8ed149737c", "kernel_id": "124124898"}, {"ref": "krishnaharish1/titanic-clean-feature-engineering-lightgbm", "kernel_id": "124419114"}, {"ref": "itsehsanullah/titanic-machine-learning-from-disaster", "kernel_id": "124732970"}, {"ref": "awaiskhanniazi/assignment-2-muhammad-awais", "kernel_id": "124750503"}, {"ref": "abdullahch1121/notebook040282a213", "kernel_id": "124732904"}, {"ref": "zubair078/assignment2-ml", "kernel_id": "124735577"}, {"ref": "rehanayub33/notebook3af19bd0d7", "kernel_id": "124774106"}, {"ref": "mahamanwar1409/assignment-2-machine-learning", "kernel_id": "124697149"}, {"ref": "hanzlamujahid/titanic-machine-learning-from-disaster", "kernel_id": "124778316"}, {"ref": "aizensama609/titanic-exploratory-data-analysis-eda", "kernel_id": "124022414"}, {"ref": "aqsanayyab/titanic-survival-predictions", "kernel_id": "124761059"}, {"ref": "afaqwarraich/assignment-2", "kernel_id": "124803000"}, {"ref": "syedumershehzad/assignment-2", "kernel_id": "124806524"}, {"ref": "talhamehmood8015/ml-assignment-2", "kernel_id": "124793749"}, {"ref": "tyamamoto0703/titanic", "kernel_id": "124169944"}, {"ref": "jingyiwang0629/titanic-analysis", "kernel_id": "124617908"}, {"ref": "ffeecc/25-06-2026-titanik-ders2", "kernel_id": "124748037"}, {"ref": "nisaluser/exercise-arithmetic-and-variables", "kernel_id": "124179052"}, {"ref": "brandonjohan/titanic-101", "kernel_id": "124328117"}, {"ref": "jothirmoysarker001/exercise-arithmetic-and-variables", "kernel_id": "124722368"}, {"ref": "hosseingholami23/titanic", "kernel_id": "124057613"}, {"ref": "williamcrabb/lab1-ai2026rc", "kernel_id": "124581874"}, {"ref": "muhammadtoufiq/titanic-data-analysis-using-pandas", "kernel_id": "124140794"}, {"ref": "nigo25ogochan/notebook25be26af22", "kernel_id": "124169986"}, {"ref": "fayazmohammedn/titanic-competition-submission", "kernel_id": "124819462"}, {"ref": "daichikanehara/notebooke1b3f1e87b", "kernel_id": "124281073"}, {"ref": "kanechobi/notebooke9b25a365d", "kernel_id": "124191528"}, {"ref": "mahmoudahmedelnabawi/logistic-regression-task", "kernel_id": "124478337"}, {"ref": "vincentb9001/notebook2dd40af00d", "kernel_id": "124554282"}, {"ref": "ifrs2026/titanic-andrws", "kernel_id": "124557294"}, {"ref": "kassianoknack/titanic2", "kernel_id": "124077153"}, {"ref": "marcosgabreu/notebook48c50513d4", "kernel_id": "124369059"}, {"ref": "aitoumeda/notebooke7ef68dd84", "kernel_id": "124171373"}, {"ref": "tetsuloge/notebook99e48ac108", "kernel_id": "124170334"}, {"ref": "watanabeyasakai/notebook08baff00c5", "kernel_id": "124225069"}, {"ref": "fallongreen/notebook5bb244dcdb", "kernel_id": "124558831"}, {"ref": "jump9797/notebook752bd09078", "kernel_id": "124023041"}, {"ref": "givememone1/notebook0b757b6f9c", "kernel_id": "124278708"}, {"ref": "mono2026/notebook-datascience", "kernel_id": "124146971"}, {"ref": "same470/notebook6ecddf0607", "kernel_id": "124272007"}, {"ref": "horiyuki0518/notebook8612d054c0", "kernel_id": "124230044"}, {"ref": "fujiiyuna/notebook50d4d52f4c", "kernel_id": "124060667"}, {"ref": "maikarasumi/notebookdbb48e790d", "kernel_id": "124216778"}, {"ref": "c6126330031/notebook3a42bddd5a", "kernel_id": "124020690"}, {"ref": "c612636027/notebook996c4836fc", "kernel_id": "124172202"}, {"ref": "shu0123/notebookb8368ddd21", "kernel_id": "124286646"}, {"ref": "hasegawakotaro/notebook116ffcf3d8", "kernel_id": "124220091"}, {"ref": "shonsei1119/notebookcf06615e39", "kernel_id": "124229186"}, {"ref": "moritanikeiju/notebook0791108cc7", "kernel_id": "124222731"}, {"ref": "hamadasuzuka/notebook57f5a34b7a", "kernel_id": "124162273"}, {"ref": "tamakisatomi/notebookd358c0f7ee", "kernel_id": "124030092"}, {"ref": "miyazakihiromasa0816/notebook42b7ee6d8e", "kernel_id": "124143771"}, {"ref": "shiramizunagi/notebook8a0ecfdbae", "kernel_id": "124283287"}, {"ref": "takeuchikaede/notebookc62fc944af", "kernel_id": "124287552"}, {"ref": "nagataryosuke/notebookdd43fd0388", "kernel_id": "124163933"}, {"ref": "yo0719/notebook3fdcc30f21", "kernel_id": "124224939"}, {"ref": "zhenyidu123/notebook9e8ca03c18", "kernel_id": "124273131"}, {"ref": "zhenyidu123/notebook5408710109", "kernel_id": "124278567"}, {"ref": "tanigawa2026/notebook3e9f0b73ef", "kernel_id": "124054633"}, {"ref": "hymmc10/notebook2530c91fbf", "kernel_id": "124154908"}, {"ref": "boncat/notebook7e659952f1", "kernel_id": "124218276"}, {"ref": "koki0529302/notebooke4f8689d1e", "kernel_id": "124083396"}, {"ref": "nakamichigun/notebook2a9ae64a32", "kernel_id": "124158814"}, {"ref": "takehosoe/notebook3b9c409171", "kernel_id": "124216919"}, {"ref": "matuokouta/notebooka9ebc66d5a", "kernel_id": "124040146"}, {"ref": "hare0806/notebook4b2042dfee", "kernel_id": "124097566"}, {"ref": "yasakakokoro/notebook5a883e5190", "kernel_id": "124285189"}, {"ref": "soichi0915/notebooke48834cb14", "kernel_id": "124280133"}, {"ref": "somamatsuda2004/notebook28f9f7d6b5", "kernel_id": "124152258"}, {"ref": "haruya5578/notebook7ac66689b7", "kernel_id": "124159912"}, {"ref": "philfoden0306/notebooke689c050d9", "kernel_id": "124210918"}, {"ref": "yoshidaiori2002/notebook6f348154bb", "kernel_id": "124329934"}, {"ref": "kya0mm/notebookcbabf42848", "kernel_id": "124155810"}, {"ref": "yuta23/notebookbe02288a0b", "kernel_id": "124270468"}, {"ref": "ikekou/notebook5eeb4ac26f", "kernel_id": "124147747"}, {"ref": "kteantgeo/notebookaf459c9707", "kernel_id": "124283862"}, {"ref": "keisukemitsuhata/notebook9fb0f97902", "kernel_id": "124263829"}, {"ref": "kagino/notebookb8547e2736", "kernel_id": "124145025"}, {"ref": "dorcasc/titanic-survival-analysis-eda-practice", "kernel_id": "124771611"}, {"ref": "naguraharuka/notebooke5092b084a", "kernel_id": "124285166"}, {"ref": "hirataayumu/notebook8e82bdfcca", "kernel_id": "124168776"}, {"ref": "shomafujimoto/notebook4fc628f3b7", "kernel_id": "124025874"}, {"ref": "rikotakagaki/notebook399bf69164", "kernel_id": "124028014"}, {"ref": "kengoseno/notebookccc2add060", "kernel_id": "124058559"}, {"ref": "daichifujioka/notebooke8cb70815b", "kernel_id": "124128449"}, {"ref": "koogose/notebook327bbf486f", "kernel_id": "124159831"}, {"ref": "c612632010/notebook456bd0c91f", "kernel_id": "124180485"}, {"ref": "abeshuta/notebook349a01a9cb", "kernel_id": "124165043"}, {"ref": "akioyamaguchi/10-data-science", "kernel_id": "124168423"}, {"ref": "yoshimurakentaro/notebook50c384fd5b", "kernel_id": "124175835"}, {"ref": "mushroom80o/notebookb5a13d1662", "kernel_id": "124178794"}, {"ref": "mushroom80o/notebook6380b64882", "kernel_id": "124200938"}, {"ref": "sato123/notebook4a54359346", "kernel_id": "124179128"}, {"ref": "kanbemimikaki/notebook897be555e7", "kernel_id": "124182372"}, {"ref": "yuasakai/notebookb7d3c2efb4", "kernel_id": "124184699"}, {"ref": "sekiguchikouta/notebook4066f19b3b", "kernel_id": "124186269"}, {"ref": "hibikiyamazaki/notebookc0379ba1f4", "kernel_id": "124199329"}, {"ref": "wangyuhemg/notebook2759e45330", "kernel_id": "124197294"}, {"ref": "delcenjo/titanic-survival-eda-and-model", "kernel_id": "124210587"}, {"ref": "kamadaouka/notebookf5645d1da9", "kernel_id": "124204934"}, {"ref": "sotatata/notebookb003a81e08", "kernel_id": "124215181"}, {"ref": "haruhitosfpg/notebook567eabd999", "kernel_id": "124215386"}, {"ref": "greenyoshida/notebook14062ba179", "kernel_id": "124218110"}, {"ref": "miyaoryuki/notebookc798dc6808", "kernel_id": "124219377"}, {"ref": "kawaiyuriko/notebookb4c6f803c2", "kernel_id": "124219982"}, {"ref": "fukutakemisa/notebook86b1356964", "kernel_id": "124219948"}, {"ref": "aoyamajun/notebook45d75c7c29", "kernel_id": "124221396"}, {"ref": "okakai/notebook89b75c39ac", "kernel_id": "124224882"}, {"ref": "okakai/notebook419a557d59", "kernel_id": "124230844"}, {"ref": "fumihirosugimoto/notebook91994b5268", "kernel_id": "124224570"}, {"ref": "kaggle9314/notebook23f0aedf20", "kernel_id": "124231373"}, {"ref": "otatakehana/notebook900be133a2", "kernel_id": "124228056"}, {"ref": "issaokada/notebook05fa0e7499", "kernel_id": "124229773"}, {"ref": "yamanekanji/notebook3d29bcd3f5", "kernel_id": "124235882"}, {"ref": "tomoya160/notebook741c0b5396", "kernel_id": "124233814"}, {"ref": "hiras2140/notebookaa23623d1d", "kernel_id": "124238200"}, {"ref": "fujiryooo/notebook477f9ba89b", "kernel_id": "124238850"}, {"ref": "at0903ay/notebook803383bae6", "kernel_id": "124239856"}, {"ref": "yokoo926/notebook6d88d95dd3", "kernel_id": "124244104"}, {"ref": "zouyibo/notebook35a81c5205", "kernel_id": "124252416"}, {"ref": "maegawa0630/notebook939cbc161b", "kernel_id": "124551200"}, {"ref": "abco1234/notebook9b720aed8a", "kernel_id": "124258032"}, {"ref": "yukinadamoto/notebookd0b5df0144", "kernel_id": "124263961"}, {"ref": "shotajotatsu/notebook138b1ea68c", "kernel_id": "124268344"}, {"ref": "c612633014kousei/notebook203761458a", "kernel_id": "124269029"}, {"ref": "miyagawasoichiro/notebookff7544d4ae", "kernel_id": "124280179"}, {"ref": "wkan2004/notebook0650f28787", "kernel_id": "124278163"}, {"ref": "numami/notebook8dc0b40f4f", "kernel_id": "124275929"}, {"ref": "yumaendoutokushimau/notebook7d93f39b6c", "kernel_id": "124276405"}, {"ref": "dai1616/notebooka6921edebb", "kernel_id": "124291253"}, {"ref": "yu0123/notebook9d74524207", "kernel_id": "124279014"}, {"ref": "wannzyuuu/notebook8814eaac45", "kernel_id": "124278965"}, {"ref": "sugatarikuto/notebook21e4dd0167", "kernel_id": "124278890"}, {"ref": "kobayashi8989888/notebookddef6a249e", "kernel_id": "124280537"}, {"ref": "tmstnao/notebookdccea1700a", "kernel_id": "124284618"}, {"ref": "txttaeh/notebook07e112097c", "kernel_id": "124323042"}, {"ref": "kamihiiro/notebook26b7e81b1a", "kernel_id": "124283767"}, {"ref": "shanxianlin/notebook38e36e0542", "kernel_id": "124285623"}, {"ref": "daizen11/notebook6bdab39a06", "kernel_id": "124584694"}, {"ref": "shoki31/notebookd4b2c5e24a", "kernel_id": "124616050"}, {"ref": "sakatasho/notebookaa21348934", "kernel_id": "124288601"}, {"ref": "toroiaxi/notebookb381110fe5", "kernel_id": "124595970"}, {"ref": "watanabeyuuto/notebook22cbc441c3", "kernel_id": "124365679"}, {"ref": "tumiursulasekatane/exercise-arithmetic-and-variables", "kernel_id": "124408789"}, {"ref": "flazec098/notebookc9a371915c", "kernel_id": "124784048"}, {"ref": "hunterbloom/hb-titanic-ml", "kernel_id": "124665131"}, {"ref": "ekaterinas99/titanic-kaggle", "kernel_id": "124528818"}, {"ref": "arobwor/titanic-survival-prediction-arob-wor", "kernel_id": "124546417"}, {"ref": "rolendstewart/titanic-stewartrolend", "kernel_id": "124557761"}, {"ref": "criselyguzman/titanic-submission", "kernel_id": "124557984"}, {"ref": "clareecewright/notebook0133562f93", "kernel_id": "124558000"}, {"ref": "adamfast/getting-started-with-titanic", "kernel_id": "124709891"}, {"ref": "davidnou/lab-1-ai2010-first-kaggle", "kernel_id": "124558347"}, {"ref": "abdalmonimbakheet/notebookdab", "kernel_id": "124661141"}, {"ref": "miwatakuto/notebook164d8cbf4a", "kernel_id": "124610795"}, {"ref": "ntakuya0821/notebook1179bd4926", "kernel_id": "124658924"}, {"ref": "giselm/notebookgm", "kernel_id": "124662290"}, {"ref": "neckpuck/titanic-survival-prediction", "kernel_id": "124667596"}, {"ref": "calidarmstrong/notebook11f343dea0", "kernel_id": "124688476"}, {"ref": "currypurin/tutorial-of-kaggle-ver7-ch6", "kernel_id": "125397480"}, {"ref": "currypurin/tutorial-of-kaggle-ver7-ch7", "kernel_id": "125397877"}, {"ref": "currypurin/tutorial-of-kaggle-ver7-ch4", "kernel_id": "125395640"}, {"ref": "currypurin/tutorial-of-kaggle-ver7-ch5", "kernel_id": "125396222"}, {"ref": "dzehtsiarou/tabfm-titanic-plain-submission", "kernel_id": "125698975"}, {"ref": "dzehtsiarou/tabfm-titanic-prepped-submission", "kernel_id": "125699634"}, {"ref": "dzehtsiarou/tabfm-titanic-leanprep-submission", "kernel_id": "125700243"}, {"ref": "avisceral8/data-analyst-ai-agent", "kernel_id": "125131299"}, {"ref": "roymeshulam/rm-titanic-submission", "kernel_id": "125459723"}, {"ref": "roymeshulam/rm-titanic-v01", "kernel_id": "125436228"}, {"ref": "rajinh/titanic-random-forest", "kernel_id": "125765451"}, {"ref": "ayatelzook/predicting-titanic-survival", "kernel_id": "125547370"}, {"ref": "yusufahmed19/titanic-using-regularized-ann", "kernel_id": "125498282"}, {"ref": "kelbycraft/kwc-titanic-submission", "kernel_id": "125999611"}, {"ref": "tunnz15/titanic-tinkering", "kernel_id": "125046320"}, {"ref": "tunnz15/titanic-vibe", "kernel_id": "125513822"}, {"ref": "mohamedmabrouk87/titanic", "kernel_id": "125035906"}, {"ref": "devanshutrivedi/titanic-survival-prediction", "kernel_id": "125541863"}, {"ref": "efepehlivan/vb-90-2-titanic-veri-analizi", "kernel_id": "125698550"}, {"ref": "ujjawalsngh10/clt-confidence-intervals-titanic-dataset", "kernel_id": "125261938"}, {"ref": "jcklly/prac-5-task-1", "kernel_id": "125359076"}, {"ref": "sparrshsanghi/notebook9c49491d39", "kernel_id": "125528078"}, {"ref": "omar61103yasser/titanic-svm", "kernel_id": "125178601"}, {"ref": "secretiveplotter1863/titanicml", "kernel_id": "125409597"}, {"ref": "darkshed/titanic", "kernel_id": "125391797"}, {"ref": "mostafaelnabrawi/titanic-svm", "kernel_id": "125808145"}, {"ref": "bouramadram/titanic-data-cleaning-feature-engineering", "kernel_id": "125226040"}, {"ref": "rnivedithagowda/h20-v-s-featuremind", "kernel_id": "125040921"}, {"ref": "baherbakry/titanic-svm", "kernel_id": "125736230"}, {"ref": "joox1113/logistic-regression", "kernel_id": "125029675"}, {"ref": "tarunraii/5-statistical-tests-every-data-scientist-must-know", "kernel_id": "125069523"}, {"ref": "payal2411/titanic-dataset", "kernel_id": "125131638"}, {"ref": "natashasingh20/titanic-project-binary-classification", "kernel_id": "125406801"}, {"ref": "maazali04/titanic-v1-ipynb", "kernel_id": "125919090"}, {"ref": "harrisonokane/cp3501-prac05-task2-fastai-okane", "kernel_id": "125797643"}, {"ref": "harrisonokane/cp3501-prac05-task1-okane", "kernel_id": "125796584"}, {"ref": "c0dingf1sh/titanic-model-g", "kernel_id": "125014816"}, {"ref": "briankimtaikab/the-one-on-titanic", "kernel_id": "125539442"}, {"ref": "kerinoras/prac5-task2", "kernel_id": "125378794"}, {"ref": "almightykira/sweetviz-automated-eda-on-dataset", "kernel_id": "125299049"}, {"ref": "huarache7/titanic-hrc", "kernel_id": "125111095"}, {"ref": "samriddhisingh123/notebook9ad138ec6c", "kernel_id": "125662079"}, {"ref": "ririjay/entrainement", "kernel_id": "125396125"}, {"ref": "mobx01/ml-model", "kernel_id": "125555509"}, {"ref": "cloudty/titanic-are-they-survived", "kernel_id": "125033523"}, {"ref": "yadav98788/the-famous-titanic-dataset", "kernel_id": "125832238"}, {"ref": "akseleu1j/titanic-aks", "kernel_id": "125640004"}, {"ref": "slamdicey/titanic-notebook", "kernel_id": "125447259"}, {"ref": "anjou0618/what-is-decision-tree", "kernel_id": "125958857"}, {"ref": "prasanbv/titanic-sql-analysis", "kernel_id": "125460781"}, {"ref": "n0ishey/getting-started-with-titanic", "kernel_id": "125114120"}, {"ref": "rizviiqra/pandas-part2", "kernel_id": "125295135"}, {"ref": "muqadas20/titanic-tutorial", "kernel_id": "125513520"}, {"ref": "siddhantsingh2201/fork-of-titanic-survival-rate-competition", "kernel_id": "125611220"}, {"ref": "hielgadea/notebook474b323bfd", "kernel_id": "125743394"}, {"ref": "fallongreen/notebook9ca1eb8b9d", "kernel_id": "125493484"}, {"ref": "soichi0915/notebook4ca37ab36c", "kernel_id": "125775698"}, {"ref": "kunoritaku/fork-of-notebooka33e871672", "kernel_id": "125778741"}, {"ref": "tanuuuai/titanic-ml-solution", "kernel_id": "125643193"}, {"ref": "amralhorimy/titanic-with-voting", "kernel_id": "125424357"}, {"ref": "myland08/siyombouna-cc3-project1", "kernel_id": "125312138"}, {"ref": "noyalkaushik/exercise-arithmetic-and-variables", "kernel_id": "125595391"}, {"ref": "mathewjohann/exercise-arithmetic-and-variables", "kernel_id": "125737897"}, {"ref": "batprem/tinanic-scb-workshop", "kernel_id": "126333934"}, {"ref": "perreynolds/dsci-598-titanic-week-1", "kernel_id": "126101063"}, {"ref": "patrickoneil/titanicdeeplearning86", "kernel_id": "126967728"}, {"ref": "hwang6666/titanic-practice-notebook", "kernel_id": "126429950"}, {"ref": "lukaspanos/titanic-survival-prediction-log-reg-rfc", "kernel_id": "126293637"}, {"ref": "markzagumennikov/titanic-drowned", "kernel_id": "126910427"}, {"ref": "kareemhamdyaly/data-preprocessing", "kernel_id": "126487697"}, {"ref": "nuriawan/titanic-machine-learning-from-disaster", "kernel_id": "126568157"}, {"ref": "joelopoku/titanic-quantide-20260712012240", "kernel_id": "126783537"}, {"ref": "joelopoku/titanic-quantide-20260713171925", "kernel_id": "126987551"}, {"ref": "joelopoku/titanic-quantide-20260713185144", "kernel_id": "126993102"}, {"ref": "joelopoku/titanic-quantide-20260713182549", "kernel_id": "126991517"}, {"ref": "joelopoku/titanic-quantide-20260713183145", "kernel_id": "126991893"}, {"ref": "joelopoku/titanic-quantide-20260713174934", "kernel_id": "126989441"}, {"ref": "joelopoku/titanic-quantide-20260713181346", "kernel_id": "126990848"}, {"ref": "joelopoku/titanic-quantide-20260713190923", "kernel_id": "126994179"}, {"ref": "joelopoku/titanic-quantide-20260713184314", "kernel_id": "126992542"}, {"ref": "joelopoku/titanic-quantide-20260712003645", "kernel_id": "126779697"}, {"ref": "joelopoku/titanic-quantide-20260712003257", "kernel_id": "126779347"}, {"ref": "joelopoku/titanic-quantide-20260712004424", "kernel_id": "126780207"}, {"ref": "joelopoku/titanic-quantide-20260712000739", "kernel_id": "126777399"}, {"ref": "joelopoku/titanic-quantide-20260712001005", "kernel_id": "126777577"}, {"ref": "joelopoku/titanic-quantide-20260712001253", "kernel_id": "126777756"}, {"ref": "joelopoku/titanic-quantide-20260712000146", "kernel_id": "126777035"}, {"ref": "joelopoku/titanic-quantide-20260711235510", "kernel_id": "126776277"}, {"ref": "joelopoku/titanic-quantide-20260711234144", "kernel_id": "126775238"}, {"ref": "joelopoku/titanic-quantide-20260711233127", "kernel_id": "126774429"}, {"ref": "joelopoku/titanic-quantide-20260711235128", "kernel_id": "126776015"}, {"ref": "joelopoku/titanic-quantide-20260711232523", "kernel_id": "126774047"}, {"ref": "joelopoku/titanic-quantide-20260711231706", "kernel_id": "126773568"}, {"ref": "joelopoku/quantide-titanic-submission", "kernel_id": "126773181"}, {"ref": "ezsharaf/simple-automation-no-code-approach-0-79904-acc", "kernel_id": "126160346"}, {"ref": "mohammedsalahaldeen/titanic-grandmaster-auto-gpu-optuna-ensemble", "kernel_id": "126121277"}, {"ref": "mertbelgex/titanic", "kernel_id": "126029302"}, {"ref": "mahabub001cs/hypothesis-testing-all-in-one", "kernel_id": "126248026"}, {"ref": "bishmendrakumarsah/titanic-tabfmpytourch", "kernel_id": "126239524"}, {"ref": "sambarrett1/cp3501-prac-06-part-01-samuelbarrett", "kernel_id": "126658320"}, {"ref": "yathaarthgoel/titanicprediction", "kernel_id": "126154979"}, {"ref": "chuminhhin/titanicv2", "kernel_id": "126247395"}, {"ref": "shahbakhshtech/titanic-machine-learning-from-disaster", "kernel_id": "126337391"}, {"ref": "remonbenjamin/titanic-dataset-svm", "kernel_id": "126822226"}, {"ref": "olberth/proyecto-titanic26", "kernel_id": "126867798"}, {"ref": "anurag334/titanic-survival-prediction", "kernel_id": "126125926"}, {"ref": "aarushkarak/gm-submit-titanic-d18", "kernel_id": "126833141"}, {"ref": "aarushkarak/daily-streak-d18", "kernel_id": "126833150"}, {"ref": "rostislavbabich176/another-titanic-solver", "kernel_id": "126969424"}, {"ref": "badrhishamzahran/titanic-classification-by-svm", "kernel_id": "126073265"}, {"ref": "mrtaqiulhassan/titanic-machine-learning-from-disaster", "kernel_id": "126306455"}, {"ref": "kushal1147/edaandfeatureengineringontitaniclogisticregression", "kernel_id": "126435390"}, {"ref": "karar1deepvision/decision-tree-classifier", "kernel_id": "126229777"}, {"ref": "karar1deepvision/lightgbm", "kernel_id": "126238793"}, {"ref": "karar1deepvision/svm-machine", "kernel_id": "126239405"}, {"ref": "karar1deepvision/naive-bayes", "kernel_id": "126239750"}, {"ref": "karar1deepvision/linear-discriminant-analysis", "kernel_id": "126239754"}, {"ref": "karar1deepvision/xgboost", "kernel_id": "126238514"}, {"ref": "karar1deepvision/catboost", "kernel_id": "126239209"}, {"ref": "karar1deepvision/extra-trees", "kernel_id": "126234831"}, {"ref": "karar1deepvision/random-forest-classifier", "kernel_id": "126234533"}, {"ref": "karar1deepvision/gradient-boosting", "kernel_id": "126237364"}, {"ref": "karar1deepvision/adaboosting", "kernel_id": "126237656"}, {"ref": "karar1deepvision/logistic-regression", "kernel_id": "126060892"}, {"ref": "karar1deepvision/knn-classifier", "kernel_id": "126107804"}, {"ref": "karar1deepvision/ridge-classifier", "kernel_id": "126105922"}, {"ref": "karar1deepvision/sgd-classifier", "kernel_id": "126108259"}, {"ref": "zqx960151285/titanic-machine-learning-from-disaster", "kernel_id": "126026119"}, {"ref": "tasnemsaeed/notebooka92618bf0a", "kernel_id": "126739618"}, {"ref": "pandadev0069/titanic-prediction-randomforest-engineering", "kernel_id": "126341029"}, {"ref": "pandadev0069/udemy-titanic-prediction-3-logisticregression-new", "kernel_id": "126339216"}, {"ref": "pandadev0069/titanic-prediction-tuning", "kernel_id": "126353572"}, {"ref": "pandadev0069/titanic-prediction-lightgbm", "kernel_id": "126347016"}, {"ref": "muhammadumer7804/titanic-survival-prediction", "kernel_id": "126859582"}, {"ref": "abhrajaiswal/titanic-notebook", "kernel_id": "126669419"}, {"ref": "aarishar321/titanic-survival-prediction", "kernel_id": "126440877"}, {"ref": "rawsienguyen/notebook2b60ce9954", "kernel_id": "126618137"}, {"ref": "younghoocheon/fastai-lesson-6a-random-forests", "kernel_id": "126220205"}, {"ref": "zhaoyouyang/fastai-lesson-6a-random-forests", "kernel_id": "126209989"}, {"ref": "asuka520/prac5-task2", "kernel_id": "126887169"}, {"ref": "shuminghao/titanic-notebook", "kernel_id": "126787449"}, {"ref": "zhangdavid01/fastai-lesson-6a-random-forests", "kernel_id": "126228716"}, {"ref": "brockallen/fastai-lesson-6a-random-forests", "kernel_id": "126774894"}, {"ref": "prabhshersingh/cp3501-week-5-task-2-fastai-framework-titanic", "kernel_id": "126960096"}, {"ref": "prabhshersingh/cp3501-week-5-task-3-spaceship-titanic-fastai", "kernel_id": "126963046"}, {"ref": "prabhshersingh/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "126899019"}, {"ref": "libozhi/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "126040446"}, {"ref": "libozhi/week5-task2", "kernel_id": "126042622"}, {"ref": "esdrosdawit2/notebook417c480a96", "kernel_id": "126571896"}, {"ref": "bonengsun/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "126573205"}, {"ref": "bonengsun/notebooka607882bfd", "kernel_id": "126575102"}, {"ref": "cz519826/cp5701-task-5-group5", "kernel_id": "126209947"}, {"ref": "mohamadounourouddine/titanic-getting-started", "kernel_id": "126296702"}, {"ref": "alfarouqibrahim/nti-titanic-task-part-1-2", "kernel_id": "126502193"}, {"ref": "cngnguy3413/du-doan-song-sot", "kernel_id": "126044985"}, {"ref": "johnandreimartinez/titanic", "kernel_id": "126254786"}, {"ref": "ranahamza16/notebook20a178606d", "kernel_id": "126634354"}, {"ref": "nandisreeharshitha/titanic-shipwrek-prediction", "kernel_id": "126687927"}, {"ref": "cason226/notebookfa6e036ba3", "kernel_id": "126291821"}, {"ref": "edithwong/spaceship-titanic", "kernel_id": "126210016"}, {"ref": "bennychawoonloong/fastai-lesson-6a-random-forests", "kernel_id": "126209765"}, {"ref": "bennychawoonloong/practical-6-task2", "kernel_id": "126212715"}, {"ref": "tharishreddy22/predicting-survival-on-titanic-ship", "kernel_id": "126098514"}, {"ref": "l1angj/fastai-lesson-6a-random-forests", "kernel_id": "126233625"}, {"ref": "emilianomogorovich/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "126522543"}, {"ref": "emilianomogorovich/notebook1b795fed27-titanic", "kernel_id": "126523362"}, {"ref": "chiranjeeb2003/notebook15e9df2191", "kernel_id": "126859544"}, {"ref": "chiranjeeb2003/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "126858067"}, {"ref": "nesicn/titanic-veri-analizi", "kernel_id": "126154189"}, {"ref": "kanishkabhatt/titanic-survival-prediction-ml-pipeline", "kernel_id": "126658318"}, {"ref": "molmolkaggle/titanic", "kernel_id": "126046050"}, {"ref": "moon65312/notebook804df3543f", "kernel_id": "126889108"}, {"ref": "tshepangmahlalela/notebookac824e97ba", "kernel_id": "126568129"}, {"ref": "abuzaryaseen/notebookcd8bf19127", "kernel_id": "126344296"}, {"ref": "zaidwajeeh/notebook63135c7061", "kernel_id": "126864412"}, {"ref": "sumonmohammadmahfuz/titanic-machine-learning-from-disaster", "kernel_id": "126812520"}, {"ref": "humnaattique/notebook798db7e907", "kernel_id": "126634031"}, {"ref": "ekklesiakey/analisis-data-titanic-prediksi-random-forest", "kernel_id": "126319487"}, {"ref": "lananh26102007/laislearningcodehehee", "kernel_id": "126441322"}, {"ref": "reenarathode/practicenotebook", "kernel_id": "126371303"}, {"ref": "mohamedahdy/notebookdd2a86fb58", "kernel_id": "126503261"}, {"ref": "yidongye9527/titanic-predictions", "kernel_id": "126560926"}, {"ref": "zeynepyilmaz34/titanic-veri-analizi", "kernel_id": "126707201"}, {"ref": "halbertfaller/titanicproject-hal", "kernel_id": "126907177"}, {"ref": "lunagemz/exercise-arithmetic-and-variables", "kernel_id": "126993467"}, {"ref": "sajutr/ai-benchmark-sandbox-discover-what-works-check", "kernel_id": "127444883"}, {"ref": "rahibvk/notebook6a15effe63", "kernel_id": "127387083"}, {"ref": "bardiabahadori/titanic-survival-prediction-eda-feature-enginee", "kernel_id": "127086151"}, {"ref": "ahmedfathy20102/summary-of-pandas-library", "kernel_id": "127745416"}, {"ref": "afifalisaadman/6767rtf", "kernel_id": "127882087"}, {"ref": "joelopoku/titanic-quantide-20260715191055", "kernel_id": "127401625"}, {"ref": "joelopoku/titanic-quantide-20260715184708", "kernel_id": "127398762"}, {"ref": "joelopoku/titanic-quantide-20260715185511", "kernel_id": "127399601"}, {"ref": "joelopoku/titanic-quantide-20260715192931", "kernel_id": "127403909"}, {"ref": "joelopoku/titanic-quantide-20260715192108", "kernel_id": "127402932"}, {"ref": "joelopoku/titanic-quantide-20260715193247", "kernel_id": "127404315"}, {"ref": "kadeapricot/compound-expressiveness", "kernel_id": "127338537"}, {"ref": "kadeapricot/1x-weight-10-activations-composition", "kernel_id": "127011605"}, {"ref": "fa23bst011/eda-of-titanic-dataset", "kernel_id": "127499976"}, {"ref": "hoololi/titanic-some-approaches", "kernel_id": "127100569"}, {"ref": "anabahin/titanic-survival-analysis", "kernel_id": "127905567"}, {"ref": "oludareshalom/the-titanic-survival-prediction", "kernel_id": "127829902"}, {"ref": "aarushkarak/daily-streak-d24", "kernel_id": "127783453"}, {"ref": "aarushkarak/daily-streak-d21", "kernel_id": "127331848"}, {"ref": "vivienjz/exercise-arithmetic-and-variables", "kernel_id": "127436221"}, {"ref": "vivekambaliya/predicting-titanic-survival-with-logistic-regressi", "kernel_id": "127966094"}, {"ref": "vanyanain/clean-baseline-with-random-forest", "kernel_id": "127795291"}, {"ref": "jayrajbarad1110/titanic-data-visualization", "kernel_id": "127523332"}, {"ref": "jayrajbarad1110/titanic-exploratory-data-analysis-eda", "kernel_id": "127396797"}, {"ref": "superviseddeep/titanic-survival-prediction-main", "kernel_id": "127391083"}, {"ref": "alyacipta/alya-titanic-ml", "kernel_id": "127033716"}, {"ref": "hanzlaanjum/knn-imputer", "kernel_id": "127333905"}, {"ref": "razishahbaz/titanic-survival-prediction", "kernel_id": "127068887"}, {"ref": "hasnainaliasghar941/titanic-stats", "kernel_id": "127325247"}, {"ref": "wladyslawkobcew/titanic-eda-blending-and-stacking", "kernel_id": "127358898"}, {"ref": "emilianomogorovich/fastai-lesson-6a-random-forests", "kernel_id": "127537308"}, {"ref": "chiranjeeb2003/fastai-lesson-6a-random-forests", "kernel_id": "127782095"}, {"ref": "nishinoa2lab/notebook4dac7b0290", "kernel_id": "127564274"}, {"ref": "tatsumayamaguchi/notebook4b4fd2764d", "kernel_id": "127559225"}, {"ref": "fumihirosugimoto/notebook91994b5269", "kernel_id": "127562974"}, {"ref": "yonezuhayato6177/notebook8b8d4575d8", "kernel_id": "127549762"}, {"ref": "travisgacc/cc4-project-1", "kernel_id": "127499732"}, {"ref": "maximilianhesson/cc4-project1", "kernel_id": "127835523"}, {"ref": "kt4nyj4ec9ip6/titanic-eda-and-random-forest-model", "kernel_id": "127321594"}, {"ref": "blentaztekin/titanic-data-analysis", "kernel_id": "127994979"}, {"ref": "kyuseokyeum/titanic-random-forest-baseline-v1", "kernel_id": "127790749"}, {"ref": "venomezviper/your-first-ml-model-explained-simply", "kernel_id": "127904469"}, {"ref": "venomezviper/honest-ml-on-titanic-ship-warn-stop", "kernel_id": "127900970"}, {"ref": "souaguiar/genai-lab-titanic", "kernel_id": "128011919"}, {"ref": "jordirosell/r-woman-child-families-survival-only-using-name", "kernel_id": "128377990"}, {"ref": "tatsutaka/2026-dataanalysis-titanic-chapter02", "kernel_id": "128781804"}, {"ref": "tatsutaka/2026-dataanalysis-titanic-chapter01", "kernel_id": "128419747"}, {"ref": "taylorsamarel/taedri-gemma-4-competition-agent-proof", "kernel_id": "128442911"}, {"ref": "alexsorrells/titanic-dataset-for-idiots-by-an-idiot", "kernel_id": "128796902"}, {"ref": "sehrishbinteasghar/titanic", "kernel_id": "128596122"}, {"ref": "mohamedkhaledidris/titanic-expert-solution101", "kernel_id": "128022311"}, {"ref": "hongngcdung/mentor-pima", "kernel_id": "128109888"}, {"ref": "ameydaithankar/getting-started-with-titanic-dataset-attempt-1", "kernel_id": "128016324"}, {"ref": "coderstale/titanic-survival-prediction-with-random-forest", "kernel_id": "128337542"}, {"ref": "cjhuang2024/20260725-advanced-eda-on-titanic-dataset", "kernel_id": "128574883"}, {"ref": "cheemshoang/mentor-pima", "kernel_id": "128689146"}, {"ref": "ferudunkurtulu/titanic-prediction-tutorial", "kernel_id": "128201490"}, {"ref": "ritesh2006/cli-badge-linked-notebook", "kernel_id": "128765018"}, {"ref": "ritesh2006/cli-badge-linked-script", "kernel_id": "128765339"}, {"ref": "ritesh2006/time-series-forecasting-pipeline", "kernel_id": "128775043"}, {"ref": "omarmohamedayman/titanic-notebook", "kernel_id": "128213443"}, {"ref": "hustle256/fastai-l5b-use-a-framework-titanic", "kernel_id": "128675612"}, {"ref": "hustle256/titanic-woman-child-group-0-80", "kernel_id": "128677403"}, {"ref": "hustle256/fastai-l5-linear-model-by-hand-titanic", "kernel_id": "128673399"}, {"ref": "urjagajera12/titanic-machine-learning-from-disaster", "kernel_id": "128235386"}, {"ref": "himanshutiwari249/titanic-clt", "kernel_id": "128850096"}, {"ref": "tetianapro/titanic-my-work-with-ml", "kernel_id": "128461929"}, {"ref": "onkar777/ml-lab-1-2", "kernel_id": "128446285"}, {"ref": "novinshababzade/fork-of-titanic-survival-eda-visualization", "kernel_id": "128363766"}, {"ref": "prasadpossible/prasad-kolekar-titanic-prediction", "kernel_id": "128335161"}, {"ref": "pashudzu/titanic-survival-prediction", "kernel_id": "128127175"}, {"ref": "fa23bst011/advanced-eda-on-titanic-dataset", "kernel_id": "128337150"}, {"ref": "kausarhayat/titanic-survival-prediction-79-89-accuracy", "kernel_id": "128911942"}, {"ref": "youseefmohamed1212/titanic-beyond-baseline", "kernel_id": "128359733"}, {"ref": "karinnotebook/notebook-titanic", "kernel_id": "128072398"}, {"ref": "mohamedfaisalsalem/titanic-end-to-end-pipeline-0-796-score", "kernel_id": "128498555"}, {"ref": "jurgenpaulwesterveld/getting-started-with-titanic", "kernel_id": "128765930"}, {"ref": "aarushkarak/daily-streak-d27", "kernel_id": "128171796"}, {"ref": "aarushkarak/daily-streak-d30", "kernel_id": "128479096"}, {"ref": "aarushkarak/daily-streak-d33", "kernel_id": "128841888"}, {"ref": "acacia21/notebooka11a69ea47", "kernel_id": "128507727"}, {"ref": "olegend/titanic-decision-tree", "kernel_id": "128920620"}, {"ref": "yadavprateek24/titanic-exploratory-da", "kernel_id": "128866410"}, {"ref": "butchamagaimperial/titanic-prediction", "kernel_id": "128199254"}, {"ref": "shaikpattabibiayesha/getting-started-with-titanic", "kernel_id": "128514380"}, {"ref": "anonymousdns/exercise-arithmetic-and-variables", "kernel_id": "128402582"}, {"ref": "rishibusineni709/notebook45096f100b", "kernel_id": "128253831"}, {"ref": "raihanadiw/titanic-eda-survival-prediction", "kernel_id": "128012688"}, {"ref": "noureldeenmasoud/notebook67f9f0b5f7", "kernel_id": "128615845"}, {"ref": "anshios/lesson6", "kernel_id": "128521122"}, {"ref": "mohammedslimane/titanic-submition-01", "kernel_id": "128002955"}, {"ref": "ardaelectronic/titanic-logreg-from-scratch-feature-eng", "kernel_id": "128474987"}, {"ref": "narmadasomasundaram/starting-with-titanic", "kernel_id": "128101443"}, {"ref": "mariartema/titanic-beginner", "kernel_id": "128119895"}, {"ref": "mohamadounourouddine/titanic-survival-prediction", "kernel_id": "128834715"}, {"ref": "mohamadounourouddine/titanic-tutorial", "kernel_id": "128844432"}, {"ref": "divanshudatascience/titanic-survival-prediction-using-machine", "kernel_id": "128553879"}, {"ref": "divanshudatascience/netflix-content-intelligence-a-data-driven-explor", "kernel_id": "128812710"}, {"ref": "serkanfak/serkan-titanic-eda", "kernel_id": "128352249"}, {"ref": "autumn67/titanic-passenger-survival-prediction", "kernel_id": "128460745"}, {"ref": "akshat200820/ak-titanic", "kernel_id": "128321809"}, {"ref": "mikhailchuvelev/titanic-logistic-regression", "kernel_id": "128527449"}, {"ref": "zainulabideen702/notebookb3e0a1ac63", "kernel_id": "128950241"}, {"ref": "kentaroh1028/notebook1ff12c7fbb", "kernel_id": "128650270"}, {"ref": "tsutsumitoa/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "128450990"}, {"ref": "kkkhh9/notebookef1f3bc123", "kernel_id": "128079821"}, {"ref": "akitonton4r/notebook2858adcb2c", "kernel_id": "128187432"}, {"ref": "kocha600000/notebook3d41019cdf", "kernel_id": "128449210"}, {"ref": "liuzhengjiang/liuzhengjiang-tinanic", "kernel_id": "128454841"}, {"ref": "togw04/notebook774fc61276", "kernel_id": "128442207"}, {"ref": "khadijazainab/titanic-survival-prediction-end-to-end-ml", "kernel_id": "128716087"}, {"ref": "sugatarikuto/notebookec79fa8217", "kernel_id": "128075665"}, {"ref": "yuokabe/notebookc03990e038", "kernel_id": "128387940"}, {"ref": "hamzahsaif/exercise-arithmetic-and-variables", "kernel_id": "128213912"}, {"ref": "minorifuruhashi/titanic-end-to-end-ml-pipeline", "kernel_id": "128978437"}, {"ref": "roobhasridevi/titanic-competition", "kernel_id": "128012104"}, {"ref": "lilyouob/20260725-advanced-eda-on-titanic-dataset-6ab6e3", "kernel_id": "128575032"}, {"ref": "sinyu2009/20260725advanced-eda-on-titanic-dataset", "kernel_id": "128574863"}, {"ref": "chouirene/20260725-advanced-eda-on-titanic-dataset-0350ab", "kernel_id": "128574888"}, {"ref": "lindayyn/20260725-advanced-eda-on-titanic-dataset", "kernel_id": "128574858"}, {"ref": "ardamertdedeoglu/titanic", "kernel_id": "128608936"}, {"ref": "murilloxavier/titanic-machine-learning-from-disaster", "kernel_id": "128526480"}, {"ref": "angchiaying/20260725advanced-eda-on-titanic-dataset", "kernel_id": "128575369"}, {"ref": "sharikch/notebook6e144cb266", "kernel_id": "128151209"}, {"ref": "ilkemyy/vb-90-2-titanic-veri-analizi", "kernel_id": "128109501"}, {"ref": "sashiniweliketiya/getting-started-with-titanic", "kernel_id": "128389096"}, {"ref": "kaushikkarma/mlinductiontask", "kernel_id": "128577469"}, {"ref": "medhashreekallol/titanic-notebook", "kernel_id": "128960659"}, {"ref": "fengchuanchuang/20260725advanced-eda-on-titanic-dataset", "kernel_id": "128574865"}, {"ref": "linchihsuan0122/advanced-eda-on-titanic-dataset", "kernel_id": "128574860"}, {"ref": "ivy0128/2026-0725-advanced-eda-on-titanic-dataset", "kernel_id": "128574862"}, {"ref": "cicilinda/20260725advanced-eda-on-titanic-dataset", "kernel_id": "128574868"}, {"ref": "shanukhands/titanic-survival-prediction-eda-and-ml", "kernel_id": "128809689"}, {"ref": "ashhbn/acm-inductions", "kernel_id": "128597087"}, {"ref": "praha30/notebook8bffa30aea", "kernel_id": "128617757"}, {"ref": "faustine649/getting-start-with-titanic", "kernel_id": "128940158"}, {"ref": "nehashaah/does-google-s-tabfm-beat-a-tuned-xgboost-titanic", "kernel_id": "129389760"}, {"ref": "dynamo14324/titanic-masterpiece-eda-and-ensemble", "kernel_id": "129572136"}, {"ref": "dynamo14324/titanic-masterpiece-ensemble-eda", "kernel_id": "129652601"}, {"ref": "dzehtsiarou/snn-titanic-lif-reservoir-vs-logistic-baseline", "kernel_id": "129960852"}, {"ref": "dzehtsiarou/snn-titanic-lif-reservoir-v2", "kernel_id": "129961001"}, {"ref": "chakrabhuanavdeva/titanic-learning", "kernel_id": "129915074"}, {"ref": "chakrabhuanavdeva/titanic-predictivecodingnetwork", "kernel_id": "129987529"}, {"ref": "gyanaranjanmishra/titanic-stacked-rf-xgb-plus-logistic-meta-learner", "kernel_id": "129748647"}, {"ref": "gyanaranjanmishra/titanic-feature-engg-cabin-rare-decks", "kernel_id": "129992021"}, {"ref": "labhkhatke/getting-started-with-titanic", "kernel_id": "129900835"}, {"ref": "ersansaner/simplemlp", "kernel_id": "129661605"}, {"ref": "dimashendrico/titanic-data-analysis", "kernel_id": "129846162"}, {"ref": "redboycheatz/notebook114e785795", "kernel_id": "129791386"}, {"ref": "magarishis/ra2512033010026-magarishi-s-dslab-experiment1", "kernel_id": "129466694"}, {"ref": "nayeemulislam909/notebook8d7b559d09", "kernel_id": "129704007"}, {"ref": "nayeemulislam909/notebook2c2514cf7d", "kernel_id": "129720253"}, {"ref": "chitranjannirala/titanic-survival-analysis-complete-eda-project", "kernel_id": "129919048"}, {"ref": "basabduttakonar/titanic-2", "kernel_id": "129538309"}, {"ref": "basabduttakonar/notebook6cc4691463", "kernel_id": "129541314"}, {"ref": "amandubal/titanic-machine-learning-from-disaster-ipynb", "kernel_id": "129892273"}, {"ref": "matheuspsilveira/survival-prediction-with-logistic-regression", "kernel_id": "129351611"}, {"ref": "abdulrehmantahir01/competition-titanic", "kernel_id": "129307027"}, {"ref": "silleparsberg/portfolio-1b", "kernel_id": "129247940"}, {"ref": "lamrimeriem/titanic-survival-prediction-random-forest", "kernel_id": "129595991"}, {"ref": "harshthakur47/notebookc47", "kernel_id": "129900496"}, {"ref": "himanshutiwari249/titanic-2-sample-t-test", "kernel_id": "129786340"}, {"ref": "zahrayousefpournavid/titanic-prediction-with-scikit-learn-pipeline", "kernel_id": "129313168"}, {"ref": "zahrayousefpournavid/titanic-prediction-with-logistic-regression", "kernel_id": "129312007"}, {"ref": "hideinink/titanic-training", "kernel_id": "129919080"}, {"ref": "fa23bst011/titanic-survival-prediction-by-logistic-regression", "kernel_id": "129915696"}, {"ref": "shrinathpatil85/data-pre-processing", "kernel_id": "129915218"}, {"ref": "moshiur01/titanic-tutorial", "kernel_id": "129775030"}, {"ref": "titakongolo/competitiontitanic-notebook-kaggle-reproductible", "kernel_id": "129513604"}, {"ref": "shivbari123/titanic", "kernel_id": "129493104"}, {"ref": "vladimirannenkovml/titanic-feature-engineering-gradient-boosting", "kernel_id": "129913549"}, {"ref": "aarushkarak/daily-streak-d6", "kernel_id": "129695659"}, {"ref": "aarushkarak/daily-streak-d9", "kernel_id": "129992138"}, {"ref": "aarushkarak/daily-streak-d3", "kernel_id": "129385622"}, {"ref": "aarushkarak/titanic-with-model-hub", "kernel_id": "129087133"}, {"ref": "nirupamrathore/lab-01", "kernel_id": "129927150"}, {"ref": "magentism99/module-5-practical-ml-titanic", "kernel_id": "129397988"}, {"ref": "raomitesh/03-bivariate-or-multivariate-analysis", "kernel_id": "129198553"}, {"ref": "raomitesh/02-univariate-analysis-on-titanic-dataset", "kernel_id": "129198345"}, {"ref": "nayonahmedlol/titanic-survival-prediction-using-random-forest", "kernel_id": "129768711"}, {"ref": "prettyntengu/titanic-survival-analysis-with-python", "kernel_id": "129592790"}, {"ref": "shivapnd/titanic-ml-predictor", "kernel_id": "129024696"}, {"ref": "auraecosystem/project-pilot", "kernel_id": "129116478"}, {"ref": "saaaaaaaraaa/week-1-real-dataset-loading-and-preprocessing", "kernel_id": "129367620"}, {"ref": "manunicholasjacob/titanic-0-818-without-the-history-books-lb-as-a-s", "kernel_id": "129911861"}, {"ref": "omar2716/titenic", "kernel_id": "129098074"}, {"ref": "iwumeziemacdonald/torch-nn-score-0-77751", "kernel_id": "129085821"}, {"ref": "gedebhayuadhipramana/1-titanic-survival-prediction", "kernel_id": "129537834"}, {"ref": "saqrameen/notebook0aed7fbac6", "kernel_id": "129596941"}, {"ref": "chuanjunlu/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "129639667"}, {"ref": "chuanjunlu/fastai-lesson-5b-use-a-framework-ba9a98", "kernel_id": "129639991"}, {"ref": "kanchanghode/titanic-model-training", "kernel_id": "129645893"}, {"ref": "karthiknm3/ra2512033010024-karthikeyan-m-dslab-experiment1", "kernel_id": "129492350"}, {"ref": "harleypool/notebook97d174594c", "kernel_id": "129370008"}, {"ref": "onuraslanhan/titanic-machine-learning-from-disaster", "kernel_id": "129169130"}, {"ref": "shamanthsr/titanic-survival-prediction-model", "kernel_id": "129771143"}, {"ref": "younuskurakula/jackrosetitanicsurvival", "kernel_id": "129284038"}, {"ref": "sahilanand07/titanicsurvival", "kernel_id": "129900092"}, {"ref": "pranaypaul/analysis-my-first-project", "kernel_id": "129868700"}, {"ref": "gregormendel1/titanic-first-steps-in-ml-beginner-s-guide", "kernel_id": "129411553"}, {"ref": "soumojitjati/test-run", "kernel_id": "129046000"}, {"ref": "fahamiduljahansajid/titanic-232-16-030-sajid", "kernel_id": "129550071"}, {"ref": "fujiyansan/titanic", "kernel_id": "129961137"}, {"ref": "builtbyharshil/random-forest-baseline-titanic-survival", "kernel_id": "129075287"}, {"ref": "manmohini/notebookcc4f9afaa9", "kernel_id": "129705916"}, {"ref": "soloslymkhanakhom/pandas-practice", "kernel_id": "129798588"}, {"ref": "michaelpirson/titanic-neural-network-solution", "kernel_id": "129568674"}, {"ref": "txianjin/20260725", "kernel_id": "129232995"}, {"ref": "muhammadawaiiss/notebookf0f93e845e", "kernel_id": "129762783"}, {"ref": "kshubhamkumar/titanic", "kernel_id": "129548682"}, {"ref": "yosukeinada/titanic-preregistered-comparisons-jp-en", "kernel_id": "129227659"}, {"ref": "mohammadashki/titanic-catboost-with-leakage-safegroupfeatures", "kernel_id": "129299438"}, {"ref": "moeenasim/titanic-survival-prediction-data-cleaning-rand", "kernel_id": "129233544"}, {"ref": "mustafasadiqi/titanic-survival-prediction-random-forest", "kernel_id": "129485021"}, {"ref": "manojgait/manoj-gait", "kernel_id": "129079284"}, {"ref": "gitblip/randomforestclassification", "kernel_id": "129021189"}, {"ref": "inglevedikashailesh/titanicnb", "kernel_id": "129116211"}, {"ref": "lindaar/sys-override-0x01", "kernel_id": "129700394"}, {"ref": "mahmoudalalwani/titanic-survival-prediction-model-1", "kernel_id": "129184688"}, {"ref": "abubakralqubati/titanic-nb", "kernel_id": "129518084"}, {"ref": "tinac444/titanic-test", "kernel_id": "129540076"}, {"ref": "akay02/notebook-rem", "kernel_id": "129563665"}, {"ref": "kaizinho53/titanic-official-submission", "kernel_id": "129649626"}, {"ref": "ritika3012/titanic-survival-prediction-eda-ml", "kernel_id": "129791354"}, {"ref": "neerajkumar911/ml-lab-1", "kernel_id": "129864326"}, {"ref": "mellissantesang/exercise-arithmetic-and-variables", "kernel_id": "129990529"}, {"ref": "johnlk58/titanic-1-logistic-regression-gradient-boost", "kernel_id": "130142330"}, {"ref": "stpeteishii/titanic-exploratory-data-analysis-eda", "kernel_id": "130422752"}, {"ref": "chakrabhuanavdeva/titanic-forwardforwardnetwork", "kernel_id": "130167251"}, {"ref": "arvindkumaravinash/my-first-kaggle-entry", "kernel_id": "130248467"}, {"ref": "shashvatsingham/the-titanic-leaderboard-cannot-measure-this", "kernel_id": "130539615"}, {"ref": "kephome/pt1-eda-and-decision-tree-baseline-feat-eng", "kernel_id": "130161895"}, {"ref": "assemyoussef/titanic", "kernel_id": "130228626"}, {"ref": "danishrasheed19/titanic-prediction", "kernel_id": "130934965"}, {"ref": "wamiqueabro/titanic-machine-learning-from-disaster-competition", "kernel_id": "130444285"}, {"ref": "mohammedsajib/titanic-survival-prediction", "kernel_id": "130917186"}, {"ref": "vincenthwq/titanic-shallow-catboost", "kernel_id": "130908882"}, {"ref": "dhananjayk2609/titanic-machine-learning-from-disaster", "kernel_id": "130625388"}, {"ref": "tsubasacat/titanic-group-survival-leakage-tutorial-89-cv", "kernel_id": "130213362"}, {"ref": "tserennyamsanjsuren/titanic-eda-new-ver", "kernel_id": "130235841"}, {"ref": "mahabub001cs/titanic-starter-notebook-radomforest-75-598", "kernel_id": "130083952"}, {"ref": "tanjinahasan/notebookabb52d15da", "kernel_id": "130946374"}, {"ref": "cannizaaroo/titanic-machine-learning-from-disaster-notebook", "kernel_id": "130083513"}, {"ref": "ingaerror/titanic", "kernel_id": "130097294"}, {"ref": "reddyreddy12/titanic-data-set", "kernel_id": "130818621"}, {"ref": "ahmedelshazlyae/titanic-dataset-prediction-using-rf-xgb", "kernel_id": "130131707"}, {"ref": "fa23bst011/survival-prediction-model-evaluation-tuning", "kernel_id": "130947738"}, {"ref": "aarushkarak/daily-streak-d12", "kernel_id": "130328911"}, {"ref": "aarushkarak/daily-streak-d15", "kernel_id": "130688963"}, {"ref": "beingsiamsaad/notebook24d28f3bb9", "kernel_id": "130059270"}, {"ref": "amruthagoje/titanic-ml-from-disaster-model", "kernel_id": "130764836"}, {"ref": "ayushhh26/notebook9feab31ed8", "kernel_id": "130598663"}, {"ref": "dikshamisra/titanic-data-practice", "kernel_id": "130828540"}, {"ref": "sakinasaifit/titanic-survival-prediction-sakina-saif", "kernel_id": "130730548"}, {"ref": "wesamkhalil/tklif-dr-fahad-alqasim", "kernel_id": "130834796"}, {"ref": "sarthaksastare/titanic-disaster-nb", "kernel_id": "130903152"}, {"ref": "natanigunasri/1-titanic-machine-learning-classification-model", "kernel_id": "130823578"}, {"ref": "alioktayzkan/titanic-eda", "kernel_id": "130321191"}, {"ref": "sahilanand07/titanicsurvival2", "kernel_id": "130809725"}, {"ref": "feyisahabtamu11/getting-started-with-titanic", "kernel_id": "130748837"}, {"ref": "chiginepallavi/titanic-machine-learning-from-disaster", "kernel_id": "130999727"}, {"ref": "davidsonrafaelkn/titanic", "kernel_id": "130494725"}, {"ref": "rkrohitkumar/titanic-survival-prediction", "kernel_id": "130761306"}, {"ref": "erkinycl/titanic-prediction", "kernel_id": "130608129"}, {"ref": "vishroy/logistic-regression-titanic", "kernel_id": "130053350"}, {"ref": "vishwashosamath/titanic-1", "kernel_id": "130437056"}, {"ref": "mustafademirai/titanic-survival-prediction", "kernel_id": "130979050"}, {"ref": "michaelpirson/titanic-gradient-boosting-solution", "kernel_id": "130449602"}, {"ref": "ilusciniaa/titanic4-1rf", "kernel_id": "130050376"}, {"ref": "mohamedalmansop/notebook91ebd3578a", "kernel_id": "130548655"}, {"ref": "mohamedalmansop/m-almansop", "kernel_id": "130869349"}, {"ref": "kazbatidriss/notebooke67c655e3c", "kernel_id": "130739837"}, {"ref": "kazbatidriss/notebook8275d17ea3", "kernel_id": "130641669"}, {"ref": "hiddenmind/titanic-survival-prediction", "kernel_id": "130324711"}, {"ref": "hashigodaka/titanic-1-logistic-regression", "kernel_id": "130433046"}, {"ref": "dreaddevelopment/exercise-arithmetic-and-variables", "kernel_id": "130864926"}, {"ref": "sachinkaizen/notebook2bd91fb1dc", "kernel_id": "130502698"}, {"ref": "karimahalrashidi/notebookd6e0003451", "kernel_id": "130382466"}, {"ref": "karimahalrashidi/notebook68b7746e69", "kernel_id": "130389258"}, {"ref": "sahilchimariya/titanic-machine-learning-from-disaster", "kernel_id": "130267080"}, {"ref": "dhyeybhoniya/titanic-disaster", "kernel_id": "130407649"}, {"ref": "judentainjua/getting-started-with-titanic", "kernel_id": "130632372"}, {"ref": "yanzhongpin/the-next", "kernel_id": "130633959"}, {"ref": "onurraksoy/titanik-eda", "kernel_id": "130820155"}, {"ref": "brewledger/titanic-survival-prediction-data-clean-ml", "kernel_id": "130632776"}, {"ref": "kokshenin/titanic-clean-leakage-free-baseline-randomforest", "kernel_id": "130787055"}, {"ref": "mohamedalmuradi/notebook65a1136639", "kernel_id": "130778668"}, {"ref": "minwookang123/testest1", "kernel_id": "130901386"}, {"ref": "nalamsiva/task-1", "kernel_id": "130922680"}, {"ref": "pavankumarm2026/notebooka773ef0b5e", "kernel_id": "130833878"}, {"ref": "pavankumarm2026/realworld-retail-project2", "kernel_id": "130831329"}, {"ref": "balajiponnam/dataset-student-performane", "kernel_id": "130855197"}, {"ref": "balajiponnam/factors-and-insights", "kernel_id": "130858801"}, {"ref": "abdullahabdulelah002/titanic-tutorial", "kernel_id": "130982052"}, {"ref": "damithmadawala/titanic-notebook", "kernel_id": "131117330"}, {"ref": "tatsutaka/2026-dataanalysis-titanic-chapter04", "kernel_id": "131482234"}, {"ref": "antoniorotundo2/competition-modeler-demo", "kernel_id": "131401341"}, {"ref": "berkinzcan/titanic-deneme", "kernel_id": "131735659"}, {"ref": "starkhushi/titanic", "kernel_id": "131789525"}, {"ref": "durgeshkumarsharma/test-run", "kernel_id": "131616548"}, {"ref": "rhyshicks/murdoch-coding-club-tree-based-models-eda", "kernel_id": "131282936"}, {"ref": "blackduck8/2026-8-25-titanic-work", "kernel_id": "131870749"}, {"ref": "aaluchipas/titanic", "kernel_id": "131144016"}, {"ref": "prabhdeepsingh1701/notebookab00970141", "kernel_id": "131141657"}, {"ref": "fadlyfebro/titanic-survival-classification-pipeline", "kernel_id": "131220457"}, {"ref": "ambadaskamainor/titanic-survival-prediction-using-k-nn", "kernel_id": "131639478"}, {"ref": "gkmenkkaydin/end-to-end-rf-pipeline", "kernel_id": "131756166"}, {"ref": "daneshroy/titanic-da", "kernel_id": "131743439"}, {"ref": "gokuldrbccc/exercise-arithmetic-and-variables", "kernel_id": "131726092"}, {"ref": "ronnieranks/first-kaggle-project", "kernel_id": "131701713"}, {"ref": "jalalmorsal/notebookfa966d1f26", "kernel_id": "131278104"}, {"ref": "jalalmorsal/notebook8c8c9d4858", "kernel_id": "131275644"}, {"ref": "jalalmorsal/notebookfc7efc2416", "kernel_id": "131274460"}, {"ref": "jalalmorsal/notebook14ae389ca5", "kernel_id": "131276986"}, {"ref": "jalalmorsal/notebook8e5d1204aa", "kernel_id": "131275879"}, {"ref": "moeaziz4/titanic-competiton", "kernel_id": "131867703"}, {"ref": "malikmahadniaz/titanic", "kernel_id": "131373382"}, {"ref": "amjedalabsy/titanic", "kernel_id": "131190984"}, {"ref": "hamzamojeeb/notebookeceb2bffc0", "kernel_id": "131191397"}, {"ref": "hamzamojeeb/notebookb416a63a9c", "kernel_id": "131294799"}, {"ref": "sartungi/svc-classifier-for-titanic-dataset", "kernel_id": "131797954"}, {"ref": "hbandys/notebookf21a7d88bc", "kernel_id": "131501543"}, {"ref": "jakiduy/titanic-comp", "kernel_id": "131174222"}, {"ref": "ramyasreedegala/titanic-task-1", "kernel_id": "131028501"}, {"ref": "ayashalmoliky/titanic-survival-prediction-machine-learning-mod", "kernel_id": "131199991"}, {"ref": "yogabrata22/notebookb178e5efd8", "kernel_id": "131107168"}, {"ref": "sravani1828/titanicm1", "kernel_id": "131938869"}, {"ref": "loayaltyyar/notebook63d1c04577", "kernel_id": "131312653"}, {"ref": "arseniyshutko/titanic-xgb-classification-2", "kernel_id": "131957667"}, {"ref": "arseniyshutko/titanic-xgboost-classification", "kernel_id": "131954936"}, {"ref": "arseniyshutko/titanic-catboost-classification", "kernel_id": "131830031"}, {"ref": "safianaam/titanic-surival-prediction-complete-ml-pipeline", "kernel_id": "131069476"}, {"ref": "neerajkumar911/ml-lab-3", "kernel_id": "131233317"}, {"ref": "dyutimandas/generic-reusable-binary-classification", "kernel_id": "131738316"}, {"ref": "nuredayldz/titanic-machine-learning-from-disaster-classifi", "kernel_id": "131615204"}, {"ref": "mannenagahimabindu/titanic-machine-learning-from-disaster", "kernel_id": "131031491"}, {"ref": "vemurilahari/titanic", "kernel_id": "131028466"}, {"ref": "defiaudit/titanic-baseline-random-forest-defiaudit", "kernel_id": "131179465"}, {"ref": "defiaudit/titanic-feature-engineering-comparison", "kernel_id": "131190250"}, {"ref": "balajiponnam/first-dataset", "kernel_id": "131135243"}, {"ref": "kanakadurgarao18/titanic-competition-practice1", "kernel_id": "131249142"}, {"ref": "abdullahabdulelah002/titanic-project-abdullah", "kernel_id": "131307981"}, {"ref": "jacobegarcia/titanic-using-a-pretrained-kaggle-model", "kernel_id": "131199519"}, {"ref": "chasiatydrummond/getting-started-with-titanic-chasiaty", "kernel_id": "131422296"}, {"ref": "aishaalbadwe/notebookdf90abf06a", "kernel_id": "131851099"}, {"ref": "aishaalbadwe/notebook1550574f1c", "kernel_id": "131299440"}, {"ref": "arifpirxada/titanic-logistic-regression-decision-tree-ran", "kernel_id": "131791247"}, {"ref": "madihanaaz01/exercise-arithmetic-and-variables", "kernel_id": "131716111"}, {"ref": "sunilmaakar/lab-1", "kernel_id": "131776044"}, {"ref": "dedquoc/titanic-eda-feature-engineering-baseline", "kernel_id": "132617818"}, {"ref": "roulaaj/titanic-prediction", "kernel_id": "132755123"}, {"ref": "mohanedmohamed123/titanic-predication", "kernel_id": "132654212"}, {"ref": "anushkasrvstv/feature-engineering-260", "kernel_id": "132968945"}, {"ref": "comet19/forthefirstkaggle", "kernel_id": "132542714"}, {"ref": "themanysh/titanic-survival-in-r", "kernel_id": "132027387"}, {"ref": "positivesas/titanic-ticket-groups-beat-fancy-models", "kernel_id": "132596314"}, {"ref": "debayank2024/exercise-arithmetic-and-variables", "kernel_id": "132939815"}, {"ref": "sanjeevaniyawalkar/eda-session", "kernel_id": "132546269"}, {"ref": "sunainadas/titanic-xgboost", "kernel_id": "132508824"}, {"ref": "sunainadas/titanic", "kernel_id": "132414344"}, {"ref": "vinaysamadhanpatil/filter-selectin-notebook", "kernel_id": "132086525"}, {"ref": "sohanmanna/titanic", "kernel_id": "132219371"}, {"ref": "tonnguyenbao/titanic-machine-learning-from-disaster", "kernel_id": "132364040"}, {"ref": "arutamonofu/titanic-top-6-public", "kernel_id": "132579372"}, {"ref": "keyshiftf/titanix-pipeline", "kernel_id": "132211189"}, {"ref": "shankubag/data-cleaning-titanic", "kernel_id": "132923107"}, {"ref": "ekaanis/titanic-survival-prediction-data-leakage-preventio", "kernel_id": "132664986"}, {"ref": "raneemababneh/03-permutations-combinations-set-theory", "kernel_id": "132930297"}, {"ref": "nguynshuykin/titanic-kienhuy", "kernel_id": "132504796"}, {"ref": "jeraelwhite/getting-started-with-titanic", "kernel_id": "132032023"}, {"ref": "naiksandesh/notebookc2c948cda7", "kernel_id": "132812308"}, {"ref": "nnkllh/03-lab2-decision-tree", "kernel_id": "132411877"}, {"ref": "nitinraghuvanshi19/competition-titanic-classification", "kernel_id": "132598033"}, {"ref": "ghostkajal/titanic-dsc", "kernel_id": "132697242"}, {"ref": "dharmendraswami/feature-engineering", "kernel_id": "132967935"}, {"ref": "aryangupta15102005/feature-engineering", "kernel_id": "132630417"}, {"ref": "anshika128/feature-engineering", "kernel_id": "132630368"}, {"ref": "chandani0609/feature-engineering-and-encoding-methods", "kernel_id": "132630381"}, {"ref": "dineshregmipsy/titanic-ml", "kernel_id": "132574657"}, {"ref": "challapallilavanya/notebookb4cde40d4e", "kernel_id": "132715724"}, {"ref": "kristinstrecker/titanic-survival-baseline", "kernel_id": "132112372"}, {"ref": "moham9/notebook41b8747be5", "kernel_id": "132821974"}, {"ref": "moham9/notebooka8267c8191", "kernel_id": "132821301"}, {"ref": "moham9/notebook28f81db8d3", "kernel_id": "132821634"}, {"ref": "moham9/notebook4536b68b01", "kernel_id": "132820968"}, {"ref": "moham9/notebook2400985724", "kernel_id": "132820562"}, {"ref": "hamzamojeeb/notebookde2cd4a760", "kernel_id": "132822344"}, {"ref": "hamzamojeeb/notebook38e4f88dfe", "kernel_id": "132818069"}, {"ref": "hamzamojeeb/notebook86ce427b72", "kernel_id": "132817457"}, {"ref": "himalkaji/clt-titanic-fare", "kernel_id": "132750398"}, {"ref": "maruf68901/assignment3-tatanic-re", "kernel_id": "132582085"}, {"ref": "mcardoso4/titanic-nb1", "kernel_id": "132612366"}, {"ref": "djskeleton/titanic-using-randomforest-model", "kernel_id": "132461732"}, {"ref": "djskeleton/titanic-logisticregression-featureengineering", "kernel_id": "132476342"}, {"ref": "nguyentandung06/ntd-titanic", "kernel_id": "132097573"}, {"ref": "sarc192/notebookb7d16f4d49", "kernel_id": "132772911"}, {"ref": "zrlopez/titanic-data-ops-etl-validation-pipeline", "kernel_id": "132695033"}, {"ref": "dakshyadav3957/titanic-dataset-prediction-ipynb", "kernel_id": "132560900"}, {"ref": "alifmallik/notebook9590fc95a8", "kernel_id": "132089614"}, {"ref": "daliayaserataa/notebook3bf9f61951", "kernel_id": "132549139"}, {"ref": "wade2615/first-notebook-first-failure-overfitting", "kernel_id": "132210662"}, {"ref": "uv0xii/titanic-machine-learning-from-disaster", "kernel_id": "132634467"}, {"ref": "abdullahhizam/notebookb04a86fe52", "kernel_id": "132821006"}, {"ref": "abdullahhizam/notebook9b6159d45c", "kernel_id": "132821834"}, {"ref": "abdullahhizam/notebook891036e63b", "kernel_id": "132821570"}, {"ref": "abdullahhizam/notebook5dc08fba31", "kernel_id": "132822349"}, {"ref": "abdullahhizam/notebookde0ecd6cb8", "kernel_id": "132820311"}, {"ref": "abdullahhizam/notebookc9", "kernel_id": "132269318"}, {"ref": "abdullahhizam/notebook8cf90a5862", "kernel_id": "132269581"}, {"ref": "tariandaleyza/exercise-arithmetic-and-variables", "kernel_id": "132949235"}, {"ref": "knhiinguyenn/ba-i-ba-o-ca-o-nho-m-5", "kernel_id": "132911212"}, {"ref": "aashutoshkedar/titanic-competition-data-preprocessing", "kernel_id": "132080620"}, {"ref": "mehmeteffe/titanic", "kernel_id": "132361454"}, {"ref": "ahmedmustafax/ahmeds-titanic-classification", "kernel_id": "132684165"}, {"ref": "jawwadmalik/titanic-ml-models", "kernel_id": "132757844"}, {"ref": "sergio176537/titanic-0", "kernel_id": "132707424"}, {"ref": "ravi280606/notebook48013ed8dd", "kernel_id": "132965436"}, {"ref": "xsejago/titanic", "kernel_id": "132889477"}, {"ref": "tennehocamp/notebook7abcbbc964", "kernel_id": "132929348"}, {"ref": "ashlytorrelino/exercise-arithmetic-and-variables", "kernel_id": "132851029"}, {"ref": "kalebwrigley/notebook057c320f8b", "kernel_id": "132898653"}, {"ref": "bekamaregasanegewo/notebook9d8f7f10d5", "kernel_id": "132909855"}, {"ref": "haileyakinsola/getting-started-with-titanic", "kernel_id": "132913436"}, {"ref": "tarahuisman/titanic-notebook", "kernel_id": "132920483"}, {"ref": "jackweir1/notebook7fe159e98f", "kernel_id": "132940136"}, {"ref": "dewmalnilanka/advanced-data-analysis", "kernel_id": "133179948"}, {"ref": "joshcassidy/notebookc9b5ef7660", "kernel_id": "133434281"}, {"ref": "tusharshah21/titanic-competetion", "kernel_id": "133424958"}, {"ref": "lucataco/titanic-tutorial", "kernel_id": "133391566"}, {"ref": "alvinwu0424/115-1-ml-precourse-assessment", "kernel_id": "133817045"}, {"ref": "xingyaohaung/115-1-ml-precourse-assessment-111450046", "kernel_id": "133815436"}, {"ref": "larionovauliana/modul-1", "kernel_id": "133607793"}, {"ref": "kimyeahjune/notebookd7c8888a49", "kernel_id": "133093929"}, {"ref": "junlin000000/115-1-ml-precourse-assessment-112550026-pre", "kernel_id": "133812013"}, {"ref": "calagk/titanic-rf-0-78", "kernel_id": "133961104"}, {"ref": "kazimdsafin/assignment-3", "kernel_id": "133334366"}, {"ref": "raneemababneh/05-bayes-theorem-naive-bayes", "kernel_id": "133162184"}, {"ref": "raneemababneh/04-basic-probability-probability-laws", "kernel_id": "133146364"}, {"ref": "kjmason/titanic-competition", "kernel_id": "133143814"}, {"ref": "cristelannehizoler/titanic-machine-learning-from-disaster-entry", "kernel_id": "133285232"}, {"ref": "raneemokour/titanic-feature-engineering-random-forest", "kernel_id": "133743906"}, {"ref": "addyaa1/notebook69d624fc3a", "kernel_id": "133133741"}, {"ref": "aarushkarak/gm-submit-titanic-d39", "kernel_id": "133331107"}, {"ref": "aarushkarak/daily-streak-d39", "kernel_id": "133332415"}, {"ref": "aarushkarak/daily-streak-d36", "kernel_id": "133019444"}, {"ref": "aarushkarak/daily-streak-d42", "kernel_id": "133769159"}, {"ref": "alivaliyev1/titanic-survival-pipeline-sklearn", "kernel_id": "133704976"}, {"ref": "chunkai0326/115-1-ml-precourse-assessment", "kernel_id": "133663139"}, {"ref": "samjais7/tried-xgbclassifier-on-a-competition-notebook", "kernel_id": "133708526"}, {"ref": "cartermenke/notebookc0188958ef", "kernel_id": "133741966"}, {"ref": "gioiazheng/titanic-fold-safe-cv-leaderboard-gap-analysis", "kernel_id": "133722686"}, {"ref": "natemanternach/titanicnotebook", "kernel_id": "133888956"}, {"ref": "josephalsadh/titanic-competition-individual-activity", "kernel_id": "133756594"}, {"ref": "aasim2003/titanic-from-scratch-features-leakage-and-family", "kernel_id": "133866689"}, {"ref": "rawanabil/titanic-dataset-analysis", "kernel_id": "133927789"}, {"ref": "rawanabil/submissions12345", "kernel_id": "133874945"}, {"ref": "moeaziz4/training-and-analysis-titanic-model", "kernel_id": "133041336"}, {"ref": "sojudhamdan/titanic-factors-influencing-survival", "kernel_id": "133736766"}, {"ref": "omar2716/titanic-machine-learning-from-disaster", "kernel_id": "133266342"}, {"ref": "himalkaji/confidence-interval", "kernel_id": "133512558"}, {"ref": "nagendragouda125/titanic-9926", "kernel_id": "133789964"}, {"ref": "qepo4p/the-titanic", "kernel_id": "133827314"}, {"ref": "ahmedabdelgaffar/lab-1-notebook", "kernel_id": "133977312"}, {"ref": "ahmedabdelgaffar/graded-assignment-notebook", "kernel_id": "133979772"}, {"ref": "hbandys/notebook4983ecab97", "kernel_id": "133311169"}, {"ref": "atodd79/ai2010-lab1", "kernel_id": "133133848"}, {"ref": "mindyluong/notebook32832df32c", "kernel_id": "133135684"}, {"ref": "quentonxxx/115-1-ml-precourse-assessment-115511220", "kernel_id": "133809321"}, {"ref": "leo0624/115-1-ml-precourse-assessment-112550192", "kernel_id": "133816515"}, {"ref": "noahlee123/notebookef54174b88", "kernel_id": "133039302"}, {"ref": "cooperbusick/notebookb83abe3adf", "kernel_id": "133915044"}, {"ref": "murtazakhanpro/exercise-arithmetic-and-variables", "kernel_id": "133391684"}, {"ref": "murtazakhanpro/titanic-grandmaster-pipeline", "kernel_id": "133714382"}, {"ref": "murtazakhanpro/titanic-pycaret-solution", "kernel_id": "133714391"}, {"ref": "murtazakhanpro/titanic-exploratory-pycaret", "kernel_id": "133714353"}, {"ref": "murtazakhanpro/titanic-manual-logistic-regression", "kernel_id": "133714359"}, {"ref": "murtazakhanpro/titanic-tuned-cnn-submission", "kernel_id": "133714364"}, {"ref": "murtazakhanpro/titanic-deep-learning", "kernel_id": "133714371"}, {"ref": "sarahbass/getting-started-with-the-titanic", "kernel_id": "133468188"}, {"ref": "andw1nt3ry/115-1-ml-precourse-assessment-113550053", "kernel_id": "133815866"}, {"ref": "kunkorun/titanic-survival-gradient-boosting-0-77990", "kernel_id": "133729312"}, {"ref": "wangwecharles/titanic-survival-prediction", "kernel_id": "133135289"}, {"ref": "akhilchinta1505/titanic-a-clean-0-82-starter-notebook", "kernel_id": "133180274"}, {"ref": "divyarjb222/notebookcfc5f6943c", "kernel_id": "133154309"}, {"ref": "hwoojo/titanic-smarcle", "kernel_id": "133103401"}, {"ref": "gaohaiyan/titanic-svm", "kernel_id": "133697059"}, {"ref": "jyunsyonglee/115-1-ml-precourse-assessment-113511096", "kernel_id": "133815858"}, {"ref": "mdasrafulalamshanto/numpy-class-5-myself", "kernel_id": "133473310"}, {"ref": "landynaloysius/exercise-arithmetic-and-variables", "kernel_id": "133894968"}, {"ref": "sajacassia/exercise-arithmetic-and-variables", "kernel_id": "133378201"}, {"ref": "renataelisabeth/exercise-arithmetic-and-variables", "kernel_id": "133893791"}, {"ref": "lulaaizal/exercise-arithmetic-and-variables", "kernel_id": "133488114"}, {"ref": "kenzojazlyn/exercise-arithmetic-and-variables", "kernel_id": "133378386"}, {"ref": "sarahieliana/exercise-arithmetic-and-variables", "kernel_id": "133895409"}, {"ref": "davidyidicheng/exercise-arithmetic-and-variables", "kernel_id": "133895232"}, {"ref": "anishmitaroy/notbook26-ani-titanic-dataset", "kernel_id": "133302115"}, {"ref": "marwansalim0023/week1-intro-to-ml-lab-task1", "kernel_id": "133206861"}, {"ref": "gul2468/week-1-machine-learning", "kernel_id": "133082925"}, {"ref": "mbg206/getting-started-with-titanic", "kernel_id": "133133607"}, {"ref": "harpreetsingh2545/titanic-survival-prediction-using-random-forest", "kernel_id": "133083706"}, {"ref": "lydianachazel/notebook2b617f0c7f", "kernel_id": "133154301"}, {"ref": "mpeterse/notebook04e6d71d3f", "kernel_id": "133133540"}, {"ref": "kevinlucius/notebook0f471525fd", "kernel_id": "133154317"}, {"ref": "maleynaehrman/notebook21f6ffb07d", "kernel_id": "133154307"}, {"ref": "laylaharbin/lh-titanic-test", "kernel_id": "133049163"}, {"ref": "martinkochadampally/titanic-survival-martin", "kernel_id": "133156281"}, {"ref": "conradkrantz/titanic-machine-learning-from-disaster", "kernel_id": "133072752"}, {"ref": "haydendjohnsen/notebook6f7452ffb6", "kernel_id": "133067262"}, {"ref": "jackhavighurst/notebook3bece63e46", "kernel_id": "133084076"}, {"ref": "ivandoeslaundry/notebook37535e7c55", "kernel_id": "133083994"}, {"ref": "shaurya006/titanic-ai-model-for-semicon-r2", "kernel_id": "133205432"}, {"ref": "silviurad/titanic-beginner-friendly-pipelines", "kernel_id": "133266898"}, {"ref": "shahareli/titanic-survival-feature-selection-model-compa", "kernel_id": "133113579"}, {"ref": "leightondietz/notebookaf43030a28", "kernel_id": "133154300"}, {"ref": "afrizzell/notebookf5f4862c1d", "kernel_id": "133133830"}, {"ref": "samson39/notebookaa13fdcdd9", "kernel_id": "133132975"}, {"ref": "joshuareis/notebook02199e8b3a", "kernel_id": "133133762"}, {"ref": "kadenbertrand/notebookf5c80e99b1", "kernel_id": "133136085"}, {"ref": "jadams70/titanic-graphs", "kernel_id": "133141962"}, {"ref": "jadams70/titanic-code", "kernel_id": "133134249"}, {"ref": "breezebunker/notebookb61175d898", "kernel_id": "133133808"}, {"ref": "stonehendrickson21/notebooka8d542ee83", "kernel_id": "133133748"}, {"ref": "murph7650/notebook21683a1978", "kernel_id": "133133751"}, {"ref": "rylanwindmiller/notebook5c64884246", "kernel_id": "133133969"}, {"ref": "zachnovy/lab1kaggle", "kernel_id": "133133824"}, {"ref": "tatumholtkamp/notebookbc02aa06bc", "kernel_id": "133133874"}, {"ref": "lexiplum/notebook1cbde51228", "kernel_id": "133133803"}, {"ref": "mabe2124/notebooka7b7fc9209", "kernel_id": "133133755"}, {"ref": "evanleith/notebookd0d22701cd", "kernel_id": "133133742"}, {"ref": "surianahanson/notebook547926631e", "kernel_id": "133133864"}, {"ref": "mansabdarkevin/notebookd95fd0838f", "kernel_id": "133134029"}, {"ref": "dcamp2456/notebooke32371b21a", "kernel_id": "133133771"}, {"ref": "saraalbarracin/notebook0cdf2f6683", "kernel_id": "133135022"}, {"ref": "katiemiller1/notebook065d414ef0", "kernel_id": "133133747"}, {"ref": "reganernst05/lab1kaggle", "kernel_id": "133133811"}, {"ref": "dogefloats/1notebookfile", "kernel_id": "133133858"}, {"ref": "stevennguyen122/lab-1-kaggle-sn", "kernel_id": "133133936"}, {"ref": "sophiesmith1/notebook6b2f54b532", "kernel_id": "133133881"}, {"ref": "sophiesmith1/notebookd7da80bcba", "kernel_id": "133725806"}, {"ref": "gracepomahac/getting-started-with-titanic", "kernel_id": "133135002"}, {"ref": "charlesquinn8/notebook6c485c34d8", "kernel_id": "133133843"}, {"ref": "stepwalt/notebooke980b6436f", "kernel_id": "133134022"}, {"ref": "brodykuhse/bk-titanic", "kernel_id": "133134614"}, {"ref": "vivislearning/notebook0d7cc35439", "kernel_id": "133135964"}, {"ref": "blakemgeuns/lab1a", "kernel_id": "133154299"}, {"ref": "andrekalifa/titanic-competition", "kernel_id": "133143822"}, {"ref": "nolancasher/lab1a", "kernel_id": "133153715"}, {"ref": "macmoore/titanic-competition-mac-moore", "kernel_id": "133151785"}, {"ref": "jackschuller/notebookb8d1173d88", "kernel_id": "133157126"}, {"ref": "nolanronay/notebook5423b3ae2c", "kernel_id": "133154304"}, {"ref": "baranjaan/ai-lab1", "kernel_id": "133153907"}, {"ref": "tjapel/ai2010-tjj-lab1", "kernel_id": "133154302"}, {"ref": "joschechinger/lab-1-a", "kernel_id": "133154296"}, {"ref": "chasezuber/notebookf3a976cae8", "kernel_id": "133154346"}, {"ref": "zackarysdavis/lab-1", "kernel_id": "133154322"}, {"ref": "skylarweilandich/notebooka727370cf9", "kernel_id": "133154310"}, {"ref": "christopherslomba/notebook-lab-1", "kernel_id": "133154313"}, {"ref": "alexbehm815/lab1a1", "kernel_id": "133154306"}, {"ref": "gabbylauwagie/notebookb317dda654", "kernel_id": "133154315"}, {"ref": "otisgardiner/notebookc082ba621e", "kernel_id": "133154335"}, {"ref": "madeleineengeman/notebookf87c78bb63", "kernel_id": "133154321"}, {"ref": "bradywells/notebook74f8bce802", "kernel_id": "133154318"}, {"ref": "samvicker/lab1a", "kernel_id": "133154308"}, {"ref": "emmamiddleton02/notebook80cc9930df", "kernel_id": "133154336"}, {"ref": "eleanorlmeyer/notebook12ab8cb28e", "kernel_id": "133154305"}, {"ref": "amazingabayode/lab-1a", "kernel_id": "133154364"}, {"ref": "lucaseastman/lab1a", "kernel_id": "133156210"}, {"ref": "landonjohnson7/notebook3bd40a577d", "kernel_id": "133154385"}, {"ref": "seandb31/lab1a", "kernel_id": "133154404"}, {"ref": "stevenwilhelm/ai-2010-lab-1", "kernel_id": "133613341"}, {"ref": "mtolba7799/mtolba-titanic", "kernel_id": "133306972"}, {"ref": "zuhaibalisays/itanic-survival-predictor-pipeline", "kernel_id": "133300659"}, {"ref": "ahmedetman234/titanic-dashboard-power-bi-python", "kernel_id": "133496302"}, {"ref": "blackmamba671488/notebook86a0d997d7", "kernel_id": "133514795"}, {"ref": "sunaomurata/titanic-01", "kernel_id": "133531933"}, {"ref": "namankapoor2102/getting-started-with-titanic", "kernel_id": "133663912"}, {"ref": "zacharycrane6/notebookb5136bd2a3", "kernel_id": "133664754"}, {"ref": "danielvargas1/ai1020", "kernel_id": "133730371"}, {"ref": "lucasgoldenberg731/notebook2ca2af9e83", "kernel_id": "133759429"}, {"ref": "mingkai629/115-1-ml-precourse-assessment-111550015", "kernel_id": "133817019"}, {"ref": "kennedydostal/notebook13fb3d5009", "kernel_id": "133876766"}, {"ref": "amirtanha/titanic", "kernel_id": "134347215"}, {"ref": "danuherath/eda-with-titanic-dataset", "kernel_id": "134960378"}, {"ref": "kimyeahjune/notebookcace9191f3", "kernel_id": "134311944"}, {"ref": "ahmedtamer55/notebook6c3c84c04c", "kernel_id": "134150520"}, {"ref": "dalchandyogi/eda-and-feature-engineering", "kernel_id": "134746815"}, {"ref": "beraterolelk/100-percent-titanic-exact-survival-1-000", "kernel_id": "134761145"}, {"ref": "nouratamer/notebook50f51d11fe", "kernel_id": "134152059"}, {"ref": "kadeapricot/losslandscapemultiactvisual", "kernel_id": "134276224"}, {"ref": "nguyenquyetgiangson/titanic-survival-prediction", "kernel_id": "134588394"}, {"ref": "hanafarghaly/lab-1", "kernel_id": "134048932"}, {"ref": "seifafifi/first-lab", "kernel_id": "134079225"}, {"ref": "ahmedddadel/notebook4323b1a99f", "kernel_id": "134296391"}, {"ref": "saktinoinoi/titanic-prediction-with-logistic-regression", "kernel_id": "134943089"}, {"ref": "raneemababneh/mastering-pandas", "kernel_id": "134920352"}, {"ref": "datascikhan/titanic-machine-learning-tutorial", "kernel_id": "134077902"}, {"ref": "lamaabdeldayem/notebook61548232fb", "kernel_id": "134313355"}, {"ref": "noureldinabdelrahman/csen903-lab1", "kernel_id": "134044284"}, {"ref": "nooreldeenamir/notebook29671aec3b", "kernel_id": "134076800"}, {"ref": "aarushkarak/daily-streak-d51", "kernel_id": "134915977"}, {"ref": "aarushkarak/daily-streak-d45", "kernel_id": "134091137"}, {"ref": "aarushkarak/daily-streak-d48", "kernel_id": "134502820"}, {"ref": "rahulreddykommareddy/using-naive-bayes-with-bivariate-normal-distribut", "kernel_id": "134519338"}, {"ref": "rahulreddykommareddy/using-naive-bayes", "kernel_id": "134245094"}, {"ref": "ahmetodb/titanic-ml", "kernel_id": "134865798"}, {"ref": "eclipse8n/dl-titanic", "kernel_id": "134074787"}, {"ref": "muhammadawais508/titanic-learning", "kernel_id": "134875225"}, {"ref": "febriyansyahresearch/titanic-survival-prediction", "kernel_id": "134095451"}, {"ref": "amjedalabsy/titanic-survival-predictions-beginner", "kernel_id": "134334779"}, {"ref": "amjedalabsy/ml-titanic", "kernel_id": "134348574"}, {"ref": "abdelrahmanwaelh/csen-903-task1", "kernel_id": "134162198"}, {"ref": "jessiegrubaugh/notebook30d5c35af3", "kernel_id": "134614465"}, {"ref": "bassamoz/notebooke3db9228ec", "kernel_id": "134386682"}, {"ref": "osamaalawadi/notebook1b5afef545", "kernel_id": "134387390"}, {"ref": "himalkaji/p-value-approach", "kernel_id": "134478772"}, {"ref": "rubaaljuhani/lab02-csl-2310726-ruba-aljuhani", "kernel_id": "134113302"}, {"ref": "mrwanyasser/lab-1-task", "kernel_id": "134114921"}, {"ref": "aly6ahmed/lab-1", "kernel_id": "134151554"}, {"ref": "alessandrodaniele07/titanic-done", "kernel_id": "134913993"}, {"ref": "zyadfaramawy/notebook782dfb213", "kernel_id": "134116327"}, {"ref": "rabagurdal/notebook48c90345c3", "kernel_id": "134422236"}, {"ref": "pradeepnalawade/titanic-ml", "kernel_id": "134884434"}, {"ref": "mohammedwahba21/notebookc51edb38ab", "kernel_id": "134296080"}, {"ref": "ayaelsaadanyy/notebook16c79a3499", "kernel_id": "134112448"}, {"ref": "manyagkarle/titanic", "kernel_id": "134495686"}, {"ref": "alihesham04/lab-task-1-ali-hesham", "kernel_id": "134253403"}, {"ref": "divinaaneweayi/exercise-arithmetic-and-variables", "kernel_id": "134416498"}, {"ref": "youssefmedhattt/notebook7001ccd348", "kernel_id": "134128714"}, {"ref": "omarkghonima/notebook19f949bb82", "kernel_id": "134193065"}, {"ref": "tathyanaserbto/exercise-arithmetic-and-variables", "kernel_id": "134522493"}, {"ref": "bahaamohamed74/notebook0c529ffe98", "kernel_id": "134393817"}, {"ref": "mohamed443/notebook5f2109b343", "kernel_id": "134106692"}, {"ref": "rawanelsragyyy/notebookcb93f5bfa1", "kernel_id": "134164772"}, {"ref": "ahmedwalid252/lab-1-notebook", "kernel_id": "134150207"}, {"ref": "hazemhamoud/notebook6357e017a5", "kernel_id": "134151488"}, {"ref": "tahaminatania/titanic-machine-learning-from-disaster-all-model", "kernel_id": "134495292"}, {"ref": "arwin001/titanic-3", "kernel_id": "134413910"}, {"ref": "arwin001/titanic", "kernel_id": "134412147"}, {"ref": "arwin001/titanic-2", "kernel_id": "134413396"}, {"ref": "asmithakandra/titanic-beginner-ml-notebook", "kernel_id": "134866176"}, {"ref": "kl2500032221/notebookdb3f6b3f8e", "kernel_id": "134676162"}, {"ref": "mecalme/titanicsurvivorbykike", "kernel_id": "134087340"}, {"ref": "krittanopjaithiang/lab-task-2-data-understanding", "kernel_id": "134066000"}, {"ref": "hwoojo/smarcle-titanic-915", "kernel_id": "134422404"}, {"ref": "hamzahsaif/notebook11dfb91d55", "kernel_id": "134332583"}, {"ref": "hamzahsaif/titanic-2", "kernel_id": "134328705"}, {"ref": "hamzahsaif/titanic-1", "kernel_id": "134326628"}, {"ref": "waleedalmorade/waleed-almorade", "kernel_id": "134122711"}, {"ref": "omaradhamm/notebook411384dd46", "kernel_id": "134075428"}, {"ref": "jalalaloshary488/notebook5f60435c57", "kernel_id": "134395658"}, {"ref": "satria404/notebook-titanic", "kernel_id": "134936588"}, {"ref": "loucastiel/exercise-arithmetic-and-variables", "kernel_id": "134224346"}, {"ref": "reginajamari/exercise-arithmetic-and-variables", "kernel_id": "134218043"}, {"ref": "migueldemetria/exercise-arithmetic-and-variables", "kernel_id": "134207420"}, {"ref": "velvetjones/exercise-arithmetic-and-variables", "kernel_id": "134196055"}, {"ref": "lilaalabaster/exercise-arithmetic-and-variables", "kernel_id": "134203519"}, {"ref": "olgacoen/exercise-arithmetic-and-variables", "kernel_id": "134300594"}, {"ref": "datawithabxrehman/titanic-survival-prediction-a-complete-end-to-end", "kernel_id": "134134740"}, {"ref": "habibalahdal/titanic-individual-submission-habib-ahmed-ali", "kernel_id": "134534853"}, {"ref": "marwansalim0023/lab2-eda-featureengineering-marwan-salim-bsds-136", "kernel_id": "134316899"}, {"ref": "dawayasseralansari/notebook17913c901f", "kernel_id": "134866972"}, {"ref": "dawayasseralansari/notebookdf92652e0d", "kernel_id": "134581704"}, {"ref": "bassamabdalfath/notebook1ae1283233", "kernel_id": "134626062"}, {"ref": "feliperibeirofurtado/titanic-dataset", "kernel_id": "134662464"}, {"ref": "kurama7117/titanic-finale-all-metode", "kernel_id": "134502344"}, {"ref": "farrahessam/notebook0fbb54cc03", "kernel_id": "134107875"}, {"ref": "rawan999/lab-1-csen-903-graded-task", "kernel_id": "134042150"}, {"ref": "andrerodan/titanic-survival-prediction-random-forest-82-7", "kernel_id": "134022947"}, {"ref": "amrmohamed0005/notebookb9dce346cf", "kernel_id": "134045112"}, {"ref": "abdallahamrab/acl-lab1", "kernel_id": "134075318"}, {"ref": "ahmedhamdy04/notebooke5c1c4b5ae", "kernel_id": "134114443"}, {"ref": "aymeanalymni/notebook0c1e502bdf", "kernel_id": "134537706"}, {"ref": "aymeanalymni/notebook1838b83827", "kernel_id": "134536013"}, {"ref": "aymeanalymni/notebook0efea1d295", "kernel_id": "134536508"}, {"ref": "lujyhossam/lab-0", "kernel_id": "134151010"}, {"ref": "georgeamgad11/notebookf463784730", "kernel_id": "134151567"}, {"ref": "boihunhtrn/exercise-arithmetic-and-variables", "kernel_id": "134541479"}, {"ref": "mohamedyassersaad123/mohamed-yasser-5822300", "kernel_id": "134302960"}, {"ref": "narusetaaa/notebook4b7993e08b", "kernel_id": "134299905"}, {"ref": "omarsherif2815/notebookb48033e612", "kernel_id": "134301613"}, {"ref": "houdaazirf/getting-started-with-titanic", "kernel_id": "134385147"}, {"ref": "muathalqasimi/titanic-individual-activity", "kernel_id": "134398964"}, {"ref": "hamzah77devvv/notebook83a2c07de1", "kernel_id": "134454746"}, {"ref": "joceliofdeoliveira/exercise-arithmetic-and-variables", "kernel_id": "134648340"}, {"ref": "jaiswalbishal/logistic-regression-with-regularization", "kernel_id": "134551427"}, {"ref": "ngochancao/titanic-demo", "kernel_id": "134548004"}, {"ref": "takoyaki2tako2tako/titanic-how-predictable-was-survival", "kernel_id": "134732430"}, {"ref": "vsevolodinkov/titanic-tutorial", "kernel_id": "134844738"}, {"ref": "releasethelist/notebook7d52b5fc2f", "kernel_id": "134920774"}, {"ref": "sreyasana/titanic-survival-prediction-ml-classification", "kernel_id": "134982451"}, {"ref": "ivarvb/ia26iisem04", "kernel_id": "135883447"}, {"ref": "myhlow/titanic-top-100-blended-ensemble", "kernel_id": "135349702"}, {"ref": "crprpr/titanic-leak-free-group-survival-cv-only", "kernel_id": "135988908"}, {"ref": "igor2370/notebook9360760a2a", "kernel_id": "135444469"}, {"ref": "luoying050601/titanic-sakura", "kernel_id": "135472025"}, {"ref": "waelelghazzawi/titanic-decision-calibration-benchmark", "kernel_id": "135414458"}, {"ref": "buleboy/titanic-competition-w-tensorflow-decision-forests", "kernel_id": "135814340"}, {"ref": "janenjuguna/titanic-assignment", "kernel_id": "135556660"}, {"ref": "tomerick/eda-week-3", "kernel_id": "135364440"}, {"ref": "onchwari/chelsea-mogore-week3-edaproject", "kernel_id": "135470285"}, {"ref": "segamega/titanic-machine-learning-from-disaster", "kernel_id": "135447887"}, {"ref": "madblood32/dataprocessing", "kernel_id": "135142154"}, {"ref": "randynho/titanic", "kernel_id": "135307401"}, {"ref": "codingsmurf/competition-titanic-simple-xgboost-0-78", "kernel_id": "135542584"}, {"ref": "helmutedgarson/titanic-disaster", "kernel_id": "135282500"}, {"ref": "viviankipsang/notebookaa696a7eaa", "kernel_id": "135391907"}, {"ref": "nurasylserikov/logistic-regression-from-scratch", "kernel_id": "135611370"}, {"ref": "diego0399/notebook5b9ba84d98", "kernel_id": "135405396"}, {"ref": "nikhilchourasia24/titanic-lr", "kernel_id": "135882357"}, {"ref": "husainbohra05/titanic-notebook", "kernel_id": "135098428"}, {"ref": "datascikhan/titanic-ml-survival-prediction-complete-guide", "kernel_id": "135366049"}, {"ref": "datascikhan/titanic-survival-prediction-complete-guide", "kernel_id": "135375178"}, {"ref": "datascikhan/titanic-survival-prediction", "kernel_id": "135379742"}, {"ref": "datascikhan/titanic-a-clean-solution", "kernel_id": "135381640"}, {"ref": "datascikhan/titanic-exact-survival-topology-graph-inversion", "kernel_id": "135211073"}, {"ref": "datascikhan/titanic-mega-stacking-ensemble", "kernel_id": "135215862"}, {"ref": "datascikhan/titanic-neural-survival-net", "kernel_id": "135215191"}, {"ref": "datascikhan/titanic-bayesian-survival-engine", "kernel_id": "135214643"}, {"ref": "datascikhan/titanic-topology-rank-1", "kernel_id": "135213149"}, {"ref": "datascikhan/titanic-deep-feature-forge", "kernel_id": "135213691"}, {"ref": "seeratfatima02/titanic-eda-survival-pattern-analysis", "kernel_id": "135990109"}, {"ref": "sharanyaahire/titanic-survivors", "kernel_id": "135621624"}, {"ref": "suezanvida/notebook946504eca7", "kernel_id": "135542336"}, {"ref": "lucalullo/building-decision-trees", "kernel_id": "135103174"}, {"ref": "aarushkarak/daily-streak-d54", "kernel_id": "135303664"}, {"ref": "aarushkarak/daily-streak-d57", "kernel_id": "135739639"}, {"ref": "joaqunvc/competition-titanic", "kernel_id": "135548075"}, {"ref": "chokak/titanic-machine-learning", "kernel_id": "135107188"}, {"ref": "njhthinker/titanic-ensemble-solution", "kernel_id": "135094622"}, {"ref": "njhthinker/titanic-ensemble-solution-v2", "kernel_id": "135094835"}, {"ref": "ayilmazy/titanic-survival-prediction-random-forest", "kernel_id": "135984742"}, {"ref": "anthonyschroeder/team-notebook", "kernel_id": "135690414"}, {"ref": "laukinkit/notebookce210d26e1", "kernel_id": "135117507"}, {"ref": "ummekalsoom67/titanic-compitition-eda-by-umm-e-kalsoom", "kernel_id": "135962011"}, {"ref": "prudencenyangweso/assignment-4-eda-masterclass-titanic-dataset", "kernel_id": "135345185"}, {"ref": "dianahcheloti/notebook7c9c179d0c", "kernel_id": "135504254"}, {"ref": "srabonpaul/notebookc7eb4a6e18", "kernel_id": "135721298"}, {"ref": "liujiayi18303095617/notebook1", "kernel_id": "135074009"}, {"ref": "salimsnb/titanic-eda-with-arabic-explanations", "kernel_id": "135153298"}, {"ref": "thiagohmn/poc-p1", "kernel_id": "135172232"}, {"ref": "gamer98/titanic-tutorial", "kernel_id": "135487815"}, {"ref": "bipashreearyal/titanic-problem-cardiff-met", "kernel_id": "135655884"}, {"ref": "richardcieplechowicz/titanic-baseline-simple-gradient-boosting", "kernel_id": "135709747"}, {"ref": "dipikadebnath2640213/titanic-tutorial", "kernel_id": "135648341"}, {"ref": "lchristianhg/ia26iisem04", "kernel_id": "135892677"}, {"ref": "visualcomments/titanic-preprocessing-fintech-webinar-01", "kernel_id": "136418207"}, {"ref": "visualcomments/webinar-01-titanic", "kernel_id": "136416920"}, {"ref": "shahhp/assignment4-1-hemali-titanic", "kernel_id": "136368367"}, {"ref": "avijitmandalmintu/kaggl1-eda", "kernel_id": "136112751"}, {"ref": "mujtabamoawya/titanic-adv", "kernel_id": "136365173"}, {"ref": "rahuljaman/binomial-distribution", "kernel_id": "136359417"}, {"ref": "rahmatillayeva/titanic-pipeline", "kernel_id": "136516134"}, {"ref": "nikhilchourasia24/titanic-logisticreg", "kernel_id": "136423892"}, {"ref": "nikhilchourasia24/titanic-sgd", "kernel_id": "136017683"}, {"ref": "nikhilchourasia24/titanic-sgd2", "kernel_id": "136170849"}, {"ref": "gsampathkumar01/titanic-kaggle-competation", "kernel_id": "136550347"}, {"ref": "doraemon80/notebook66b05b7fcf", "kernel_id": "136327974"}, {"ref": "aarushkarak/gm-submit-titanic-d60", "kernel_id": "136124643"}, {"ref": "aarushkarak/daily-streak-d60", "kernel_id": "136141193"}, {"ref": "aarushkarak/daily-streak-d63", "kernel_id": "136533694"}, {"ref": "lysaikken/tp2-r-gression-lin-aire", "kernel_id": "136250762"}, {"ref": "hitarthjain0/titanic-feature-engineering-what-beats-the-noise", "kernel_id": "136559503"}, {"ref": "farbodmehrgan/getting-started-with-titanic", "kernel_id": "136060451"}, {"ref": "changhoonsongg/titanic-survival-prediction", "kernel_id": "136487187"}, {"ref": "auriga0211/titanic-wcg-vote-ensemble-0-83014-fixed", "kernel_id": "136584855"}, {"ref": "charanpanakanti/fdsprojectfinal", "kernel_id": "136377659"}, {"ref": "graciewambuii/eda-masterclass", "kernel_id": "136166835"}, {"ref": "mohamedabdelhamid234/titanic-data-exploration-cleaning-modeling", "kernel_id": "136393220"}, {"ref": "frmgtx/titanic-survival-prediction", "kernel_id": "136273843"}, {"ref": "alimuhammadyonis/titanic-eda-ali-muhammad-younis", "kernel_id": "136076135"}, {"ref": "srustiswarupa/titanic-ml-baseline", "kernel_id": "136106124"}, {"ref": "iramshahzadii/titanic-eda-survival-pattern-analysis", "kernel_id": "136070158"}, {"ref": "hasibanazir/titanic-eda-survival-pattern-analysis", "kernel_id": "136189901"}, {"ref": "mohammedalmaghribi/notebooka931a32843", "kernel_id": "136179124"}, {"ref": "zeenatr/titanic-competition-eda-by-zeenat-riaz", "kernel_id": "136146964"}, {"ref": "dorcasmsimbi/eda-masterclass", "kernel_id": "136373780"}, {"ref": "eglamaiyo/notebookb6d7edb767", "kernel_id": "136100480"}, {"ref": "muhammadabdullah66/notebooke53463bfd1", "kernel_id": "136012302"}, {"ref": "inshraheyman/titanic-eda-survival-pattern-analysis", "kernel_id": "136092925"}, {"ref": "qurratulaintoor/titanic-eda-survival-pattern-analysis", "kernel_id": "136347341"}, {"ref": "anayach56/titanic-eda-competition-by-ayesha-kainat", "kernel_id": "136103963"}, {"ref": "rukhamanahil/titanic-eda-survival-pattern-analysis", "kernel_id": "136088019"}, {"ref": "raheeljaveed/titanic-competition-eda-by-muhammad-raheel", "kernel_id": "136155622"}, {"ref": "naveenkumar57/titanic-data-analysis-beginner-project1", "kernel_id": "136257692"}, {"ref": "noumananjum360/titanic-eda-survival-pattern-analysis", "kernel_id": "136272894"}, {"ref": "renanaugustocristi/notebookbd4d4a6e66", "kernel_id": "136455760"}]}
{"competition_id": "3152", "kernels": []}
{"competition_id": "3154", "kernels": []}
{"competition_id": "3163", "kernels": []}
{"competition_id": "3175", "kernels": [{"ref": "helmehelmuto/keras-cnn", "kernel_id": "4373850"}, {"ref": "mgambati/galaxy-challenge", "kernel_id": "5506652"}, {"ref": "mgambati/teste-classifica-o-de-gal-xias", "kernel_id": "5574175"}, {"ref": "zhuangjw/compress-galaxy-test-data", "kernel_id": "6481315"}, {"ref": "zhuangjw/compress-galaxy-train-data", "kernel_id": "6449420"}, {"ref": "atogni85/galaxy-convnet", "kernel_id": "11752683"}, {"ref": "mihailgavrilita/galaxy-zoo-1-st-notebook", "kernel_id": "12841203"}, {"ref": "hironobukawaguchi/galaxy-zoo-xception", "kernel_id": "14685726"}, {"ref": "eladcohen3/galaxyclassifier", "kernel_id": "19940930"}, {"ref": "sviatoslavkhukhlaev/galaxyclassification", "kernel_id": "19731371"}, {"ref": "muskandidwania/galaxy-zoo-densenet121", "kernel_id": "20261446"}, {"ref": "henriquelimanas/galaxyclassifier", "kernel_id": "21951733"}, {"ref": "henriquelimanas/fork-of-galaxyclassifier", "kernel_id": "22925257"}, {"ref": "henriquelimanas/galaxy-zoo-classifier-galaxies-1", "kernel_id": "22921507"}, {"ref": "henriquelimanas/fork-of-galaxyclassifier-b4a14b", "kernel_id": "23577658"}, {"ref": "henriquelimanas/galaxy-zoo-classifier-galaxies", "kernel_id": "23024919"}, {"ref": "kingjuno/galaxy-zoo", "kernel_id": "24125794"}, {"ref": "marcelinakinyumu/classification-galaxy-morphology", "kernel_id": "26906822"}, {"ref": "marcelinakinyumu/galaxy-morphology", "kernel_id": "26968409"}, {"ref": "henriquelimanas/classifica-o-de-galaxias-galaxyzoo", "kernel_id": "32957763"}, {"ref": "shibinjudah/galaxy-morphology-predictor", "kernel_id": "35844076"}, {"ref": "sumanthsk/classifica-o-de-galaxias-galaxyzoo", "kernel_id": "38171138"}, {"ref": "tatvajoshi123/galaxy-morphology", "kernel_id": "40215377"}, {"ref": "tatvajoshi123/galaxy-morphology-classification-1-0", "kernel_id": "40523072"}, {"ref": "rene9404/astropy-coords-rene-alvarado", "kernel_id": "45826233"}, {"ref": "classicreviveme/galaxy-zoo-train", "kernel_id": "53512090"}, {"ref": "rafaelrangel/galaxy-zoo-the-galaxy-challenge", "kernel_id": "63606663"}, {"ref": "darkdatt2004/research", "kernel_id": "64228968"}, {"ref": "chingyinng/galaxy-zoo-the-galaxy-challenge", "kernel_id": "64501310"}, {"ref": "ansuman30sahu/fork-of-galaxy-zoo-dataset", "kernel_id": "69719881"}, {"ref": "ansuman30sahu/galaxy-zoo-dataset", "kernel_id": "69636627"}, {"ref": "rudravohra/notebook7231fc726d", "kernel_id": "69735003"}, {"ref": "anshit0205/notebook1bb40315e8", "kernel_id": "69523755"}, {"ref": "arshvats/paac-project", "kernel_id": "70282608"}, {"ref": "sambit0110/finetunning-the-model-using-lora", "kernel_id": "70154134"}, {"ref": "soulofsword/galaxyzoo-with-convnext", "kernel_id": "77048621"}, {"ref": "yongthanaphon/galaxy-zoo-6710210452", "kernel_id": "77558456"}, {"ref": "minemerve/notebookea07e0c949", "kernel_id": "92892676"}, {"ref": "sl1delifepapa/simple-cnn", "kernel_id": "97908304"}, {"ref": "hannah52818/galaxy-zoo-projecr", "kernel_id": "102794625"}, {"ref": "sajnashoukath/galax7-pro", "kernel_id": "102916483"}, {"ref": "sajnashoukath/galaxy5-zoo-pro", "kernel_id": "102851305"}, {"ref": "sajnashoukath/galaxy4-zoo-pro", "kernel_id": "102850434"}, {"ref": "sajnashoukath/galaxy-zoo-pro1", "kernel_id": "102818337"}, {"ref": "sajnashoukath/galaxy2-zoo-pro", "kernel_id": "102839606"}, {"ref": "sajnashoukath/galaxy-zoo-challeng", "kernel_id": "102795921"}, {"ref": "neamfares/adl-finalproject-neamfares", "kernel_id": "103592427"}, {"ref": "neamfares/adl-finalproject-neamfares-2", "kernel_id": "104017532"}, {"ref": "nikosklms/galaxy-efficientnet-advanced", "kernel_id": "107492938"}, {"ref": "nmavros/vgg-cnn", "kernel_id": "110904667"}, {"ref": "tbavendelvande/galaxy-zoo-with-levit", "kernel_id": "111010939"}, {"ref": "tatumsoward/aig210-galaxyzoopreprocessing", "kernel_id": "114564564"}, {"ref": "tatumsoward/aig210-resnet18baseline", "kernel_id": "114617173"}, {"ref": "tatumsoward/aig210-demo", "kernel_id": "114811475"}, {"ref": "ushnardraghosh/notebook6da7bd5cd2", "kernel_id": "116333314"}, {"ref": "raghadayedd/galaxy-classification", "kernel_id": "117257787"}, {"ref": "arpitmahajan09/astronomy-image-classifier", "kernel_id": "121334083"}, {"ref": "ushnardraghosh/notebookee6d5c7cf9", "kernel_id": "124313197"}, {"ref": "alasaar/notebook893dd1c467", "kernel_id": "126068465"}, {"ref": "alasaar/galaxy-zoo-classifier", "kernel_id": "126095337"}, {"ref": "denismihailapov/galaxy-zoo-the-galaxy-challenge", "kernel_id": "134845098"}, {"ref": "iammjh/galaxyzoo-resnet50", "kernel_id": "135549814"}, {"ref": "ajwadahnafishrak/effnet-b0-galaxy-zoo", "kernel_id": "135278373"}, {"ref": "ajwadahnafishrak/resnet50-galaxy-morphology", "kernel_id": "135253294"}, {"ref": "amreenhassan/galaxy-zoo-resnet18", "kernel_id": "135508573"}, {"ref": "artemvalinurov/newcnn", "kernel_id": "135343428"}, {"ref": "phantosarmy/notebook5a8007801b", "kernel_id": "136140700"}]}
{"competition_id": "3193", "kernels": []}
{"competition_id": "3198", "kernels": []}
{"competition_id": "3199", "kernels": []}
{"competition_id": "3209", "kernels": []}
{"competition_id": "3211", "kernels": []}
{"competition_id": "3235", "kernels": []}
{"competition_id": "3238", "kernels": []}
{"competition_id": "3250", "kernels": []}
{"competition_id": "3272", "kernels": []}
{"competition_id": "3273", "kernels": []}
{"competition_id": "3288", "kernels": [{"ref": "tombalu/event-recommendation-mldm-eda", "kernel_id": "12109025"}, {"ref": "aithammadiabdellatif/esp-initiate-rds-database", "kernel_id": "25782016"}, {"ref": "dmitrysolod/notebookf8c11970ec", "kernel_id": "61221067"}, {"ref": "dmitrysolod/notebookda31d395bb", "kernel_id": "61238420"}, {"ref": "dmitrysolod/notebook7a1935e479", "kernel_id": "61238611"}, {"ref": "imenbenamar1/recommandationsystem", "kernel_id": "68209129"}, {"ref": "ashleshbshetty/eventrecommandationsystem", "kernel_id": "73918696"}]}
{"competition_id": "3289", "kernels": []}
{"competition_id": "3294", "kernels": [{"ref": "javiabellan/starting-kernel-plotting-nearest-neighbor", "kernel_id": "13386267"}]}
{"competition_id": "3300", "kernels": []}
{"competition_id": "3316", "kernels": [{"ref": "spears27/bulldozers-rf", "kernel_id": "1710579"}, {"ref": "jcatanza/fast-ai-machine-learning-lesson-2", "kernel_id": "1982883"}, {"ref": "shahzain/blue-book-for-bulldozers-kaggle", "kernel_id": "1820160"}, {"ref": "nilchat85/blue-book-for-bulldozers-eda", "kernel_id": "1516335"}, {"ref": "omarayman/random-forest-experiment", "kernel_id": "1583064"}, {"ref": "miwojc/fast-ai-machine-learning-lesson-1", "kernel_id": "1803474"}, {"ref": "miwojc/fast-ai-machine-learning-lesson-2", "kernel_id": "1919638"}, {"ref": "kirannhegde/fast-ai-machine-learning-course-videos-1-and-2", "kernel_id": "1828276"}, {"ref": "sandrorgg/fast-ai-ml-lesson-5", "kernel_id": "1442035"}, {"ref": "motasmarcelo/curso-fast-ai-ml1-lesson-07", "kernel_id": "1535506"}, {"ref": "ahmad5060/fastai", "kernel_id": "1935909"}, {"ref": "sureshsubramaniam/blue-book-for-bulldozer-kaggle-competition", "kernel_id": "1617043"}, {"ref": "kshitijsaxena/random-forest-kernel", "kernel_id": "1890098"}, {"ref": "timetraveller98/testing-pandas-read-csv-performance", "kernel_id": "1913917"}, {"ref": "bachrr/fast-ai-ml-lesson-5", "kernel_id": "1820336"}, {"ref": "bachrr/fast-ai-ml-lesson-1", "kernel_id": "1820269"}, {"ref": "redfeather/fast-ai-machine-learning-lesson-1-c84068", "kernel_id": "2662981"}, {"ref": "neuronq/simplest-imaginable-random-forest", "kernel_id": "2742079"}, {"ref": "ashishpatel26/zero-to-hero-in-fastai", "kernel_id": "2179051"}, {"ref": "jcatanza/lesson1-rf-jcat", "kernel_id": "2026512"}, {"ref": "soheilakhavan/bulldozers-random-forest-fast-ai", "kernel_id": "2929451"}, {"ref": "jayanthkumarak/predicting-sale-price-with-fast-ai", "kernel_id": "2037008"}, {"ref": "vinaykumar2491/imflash217-bulldozers", "kernel_id": "2708613"}, {"ref": "urjaswits/bulldozers-sol", "kernel_id": "2317507"}, {"ref": "srivvish/first-submission", "kernel_id": "2258055"}, {"ref": "mahirmhd/bulldozers", "kernel_id": "2663744"}, {"ref": "jyothikumar/ml-with-fast-ai-1", "kernel_id": "2628898"}, {"ref": "ankursingh12/lessons-learnt-from-fast-ai-lectures-part-2", "kernel_id": "2641204"}, {"ref": "ankursingh12/lessons-learnt-from-fast-ai-lectures-part-1", "kernel_id": "2585306"}, {"ref": "rohitgr/bulldozers", "kernel_id": "2018399"}, {"ref": "miwojc/fast-ai-machine-learning-lesson-3", "kernel_id": "2022316"}, {"ref": "sin2akshay/fast-ai-v0-7-0-machine-learning-lesson-1", "kernel_id": "2602076"}, {"ref": "beezus666/fast-ai-machine-learning-lesson-1", "kernel_id": "2468814"}, {"ref": "odysseus3/bulldozer-competition-w-fastai-library", "kernel_id": "2534150"}, {"ref": "leeweimin/fast-ai-machine-learning-lesson-1-and-2-notes", "kernel_id": "2615650"}, {"ref": "apaarsinha/bulldozer-fastai", "kernel_id": "3586295"}, {"ref": "tlimousin/teddy-fast-ai-machine-learning-lesson-1-19c3d8", "kernel_id": "3682600"}, {"ref": "sironghuang/introduction-to-machine-learning-fastai", "kernel_id": "3010657"}, {"ref": "mayurpatel/blue-bulldozers", "kernel_id": "3521822"}, {"ref": "savannahar/fastai-randomforest-top-1", "kernel_id": "3080965"}, {"ref": "ctxplorer/blue-book-for-bulldozers", "kernel_id": "3854286"}, {"ref": "thesarfaraz/fast-ai-machine-learning-lesson-1", "kernel_id": "4922988"}, {"ref": "svaisakh/anamoly-detection", "kernel_id": "4248717"}, {"ref": "sandeepdev/anamoly-detection", "kernel_id": "4273644"}, {"ref": "eslamnova/kernel3ec83eedfa", "kernel_id": "4987316"}, {"ref": "gstvolvr/bluebook-for-bulldozers-random-forest", "kernel_id": "4418827"}, {"ref": "sriramyakannepalli/intro-to-ml-for-coders-fastai-lesson-1-and-2", "kernel_id": "4793782"}, {"ref": "mahendrabishnoi2/fastai-ml-1-rf-v1", "kernel_id": "5364539"}, {"ref": "lymenlee/fast-ai-machine-learning-lesson-1", "kernel_id": "5480435"}, {"ref": "rafzabe/machine-learning-lesson-1", "kernel_id": "5421202"}, {"ref": "lymenlee/blue-book-bulldozer-fast-ai-deep-learning", "kernel_id": "6589747"}, {"ref": "kapurm17/blue-book-bulldozers", "kernel_id": "6218415"}, {"ref": "amarpreet1999/bluekernel", "kernel_id": "6421895"}, {"ref": "achintyax/bulldozerbook", "kernel_id": "6497809"}, {"ref": "akanshagautam00/bluebookbulldozers2", "kernel_id": "6443134"}, {"ref": "luukimkhoinguyen/fastaf", "kernel_id": "6582174"}, {"ref": "moaztaha/pipelines-on-blue-book-for-bulldozers", "kernel_id": "7933725"}, {"ref": "kaushal2896/blue-book-for-bulldozers", "kernel_id": "7043255"}, {"ref": "vivekanandilango/kernel40730744f1", "kernel_id": "8724609"}, {"ref": "gbarkeling/kernel449cbe516f", "kernel_id": "8566356"}, {"ref": "prakhar312000/randomforestregressor", "kernel_id": "8509243"}, {"ref": "bharatchoudhary/bluebook-for-bulldozers", "kernel_id": "8871423"}, {"ref": "mohamedstohy/blue-book-for-bulldozers-beginner-friendly", "kernel_id": "8945732"}, {"ref": "anshulnagar/bluebook-for-buildozers", "kernel_id": "8566818"}, {"ref": "pzingo/blue-book-bulldozer-fast-ai-deep-learning", "kernel_id": "9329241"}, {"ref": "vijitkam/buldozers-price-prediction-using-randomforest", "kernel_id": "9500556"}, {"ref": "deviaiml/bulldozer-price-prediction", "kernel_id": "9574856"}, {"ref": "adamamoussasamake/eda-ml-models-feedforward-neural-network", "kernel_id": "9918852"}, {"ref": "rijuvaish/prediction-of-bulldozers-sales-price", "kernel_id": "10394650"}, {"ref": "meprem/blue-book-bulldozer-fast-ai-deep-learning", "kernel_id": "10856139"}, {"ref": "thecamilovisk/data-cleaning-and-simple-random-forest-regressor", "kernel_id": "10351616"}, {"ref": "vinayakmohitkar/kernele0a588e54d", "kernel_id": "10664751"}, {"ref": "sirivasv/bluebook-for-bulldozers", "kernel_id": "10426216"}, {"ref": "kcdrathan/bulldozer-price-prediction", "kernel_id": "10195865"}, {"ref": "hinamxx/blue-book-for-bulldozers-advanced-approach", "kernel_id": "10628952"}, {"ref": "pavan2101/end-to-end-bulldozers-price-prediction", "kernel_id": "10659929"}, {"ref": "peterfriedrich1/fastml-lesson1-bluebook-dozers-notes", "kernel_id": "10107714"}, {"ref": "maximgreenberg/fast-ai-machine-learning-lesson-2", "kernel_id": "10493330"}, {"ref": "maximgreenberg/fast-ai-machine-learning-lesson-3", "kernel_id": "10564144"}, {"ref": "maximgreenberg/fast-ai-machine-learning-lesson-4", "kernel_id": "10594179"}, {"ref": "afrniomelo/epv-peq-aula-1-regress-o", "kernel_id": "10919393"}, {"ref": "akshatzala/heartdiseaseproject-ipynb", "kernel_id": "11768521"}, {"ref": "vishakbharadwaj/ensemble-learning-with-bulldozer-auction-data", "kernel_id": "11787025"}, {"ref": "radhakrishnasp/bulldozer-price-prediction", "kernel_id": "11182215"}, {"ref": "shyam21/bench-mark-blue-book-bulldozers", "kernel_id": "11588291"}, {"ref": "sumitsingh20/price-prediction-bulldozers", "kernel_id": "11390214"}, {"ref": "sindypiero/epv-peq-aula-1-regress-o-sindy", "kernel_id": "11660296"}, {"ref": "michealedekin/predicting-the-sales-of-buldozers", "kernel_id": "11939723"}, {"ref": "pedrodelou/epv-peq-aula-1-regress-o-pedro-delou", "kernel_id": "11385649"}, {"ref": "rsrocha2004/m-o-na-massa-1-epv-peq-aula1-regress-o", "kernel_id": "11591511"}, {"ref": "z3rocool/fastai-machine-learning-lesson-1-updated", "kernel_id": "12599759"}, {"ref": "mayanklad/bluebook-bulldozers", "kernel_id": "12439884"}, {"ref": "a7medelsayed/bluebook-for-bulldozers-using-random-forest", "kernel_id": "13489923"}, {"ref": "fanbyprinciple/fastai-v4-walkthrough-bluebook-for-bulldozers", "kernel_id": "13739718"}, {"ref": "ibrahimvidinli/price-prediction-for-bulldozers", "kernel_id": "13417394"}, {"ref": "mountaga/predicting-the-sale-price-of-bulldozers-using-mach", "kernel_id": "13493425"}, {"ref": "jayanthchennamaneni/price-prediction-of-bulldozers", "kernel_id": "13450290"}, {"ref": "starpupilintel/predicting-the-future-prices-of-bulldozers", "kernel_id": "13712938"}, {"ref": "gatesjr/bulldozer-pricing-requesting-feedback", "kernel_id": "14713488"}, {"ref": "aymanmaboghonim/blue-book-bulldozer-price-predicition", "kernel_id": "14017765"}, {"ref": "sarahar/exparathais", "kernel_id": "15000185"}, {"ref": "simonyun/modulab-fast-ai-ml-lesson5-nlp", "kernel_id": "16040587"}, {"ref": "nextbigwhat/train-valid-test-split-instead-of-train-test-split", "kernel_id": "16978276"}, {"ref": "ulasarikaya/saleprice-of-bulldozers-using-ml", "kernel_id": "16680253"}, {"ref": "siddheshbalsaraf/notebook5bbd6eefd7", "kernel_id": "16271100"}, {"ref": "zouhirmkns/e-to-e-bulldozer-price-regression", "kernel_id": "16307512"}, {"ref": "deepeshbhatnagar/bulldozer-price-prediction", "kernel_id": "16938188"}, {"ref": "gkpatil311/ml-fastai-bulldozer", "kernel_id": "17462539"}, {"ref": "harshalgarg/step-by-step-tutorial-pipelines", "kernel_id": "17521850"}, {"ref": "ajaymeena8888/bulldozer-price-pred-ml-regression", "kernel_id": "17088923"}, {"ref": "shubhamjha1901/bulldozer-price-prediction-rf-regression", "kernel_id": "17189131"}, {"ref": "rambomind/bulldozer-price-prediction", "kernel_id": "18110256"}, {"ref": "sharomeethan/heavy-equipment-price-predictor", "kernel_id": "18669667"}, {"ref": "knighterrant05/bulldozer", "kernel_id": "19217706"}, {"ref": "shaluchaudhary/bulldozer-price-prediction", "kernel_id": "20279679"}, {"ref": "jainamshroff/bulldozerssalepricepredictionusingrandomforest", "kernel_id": "20564565"}, {"ref": "muhammetzahitaydn/bulldozer-sale-price-prediction-rmsle-0-22", "kernel_id": "20087423"}, {"ref": "shushrutsharma/bulldozers-price-eda-regression", "kernel_id": "20538396"}, {"ref": "amitturare/bulldozer-price-prediction-using-ensemble-method", "kernel_id": "20454476"}, {"ref": "bibhabasumohapatra/lesson-1", "kernel_id": "21604137"}, {"ref": "gonfreecs1/blue-book-for-bulldozers-prediction-rmsle-0-25", "kernel_id": "22555926"}, {"ref": "edwincaleb/bulldozer-price-prediction-using-regression", "kernel_id": "22701439"}, {"ref": "abhirupghosh184098/bluebook-for-bulldozers-main-ag", "kernel_id": "23845242"}, {"ref": "kushal1506/predicting-the-sale-price-of-bulldozers", "kernel_id": "24921380"}, {"ref": "hazamkhan/predicting-price-with-rmsle-0-24", "kernel_id": "24316366"}, {"ref": "oklats/bulldozer-price-prediction", "kernel_id": "25032032"}, {"ref": "elifkoc1/blue-book-for-bulldozers", "kernel_id": "25160301"}, {"ref": "rohitsaroj/predict-the-sale-price-of-bulldozers", "kernel_id": "25523665"}, {"ref": "janeloh/predict-the-sale-prize-of-bulldozers", "kernel_id": "25580532"}, {"ref": "dhirajsurana/bulldozer-price-predicton", "kernel_id": "26104357"}, {"ref": "blakeswineford/bluebook-for-bulldozers", "kernel_id": "28883093"}, {"ref": "pujii22/notebookd8ad939d1c", "kernel_id": "29460720"}, {"ref": "prashantmudgal/random-forests-tabular-api-fast-ai", "kernel_id": "30304119"}, {"ref": "therealoise/bulldozer-price-prediction-randomforestregressor", "kernel_id": "30775958"}, {"ref": "romanvelichkin/blue-book-for-bulldozers-how-to-get-into-top-25", "kernel_id": "31067356"}, {"ref": "cielokim/bulldozar-price-prediction-fastai", "kernel_id": "31672537"}, {"ref": "narayansethi/bulldozer-price-prediction", "kernel_id": "31768396"}, {"ref": "muhammadanas0716/bulldozer-price-predictions-regression-explained", "kernel_id": "31581970"}, {"ref": "franciscangeno/blue-book-for-bulldozers", "kernel_id": "32390108"}, {"ref": "ishujain25/bulldozer-price", "kernel_id": "32460671"}, {"ref": "rolandguangyang/bulldozers-price-regression", "kernel_id": "32454830"}, {"ref": "yahyaunlu/end-to-end-blue-book-for-bulldozers-rmsle-0-2416", "kernel_id": "33472909"}, {"ref": "premgaikwad07/time-series-bulldozer-price-prediction", "kernel_id": "33000340"}, {"ref": "seunayegboyin/bulldozer-sales-price-prediction-with-randomforest", "kernel_id": "34694805"}, {"ref": "kalpaa/sale-price-prediction-bluebook-for-bulldozers", "kernel_id": "34395985"}, {"ref": "kamalp0/bulldozer-price-regression", "kernel_id": "35346963"}, {"ref": "puiggrosd/bulldozer-sales-price-prediction-to-share", "kernel_id": "35567442"}, {"ref": "abhinashbhagat/sles-price-prediction-of-bulldozers", "kernel_id": "35333046"}, {"ref": "glenbpalm/end-to-end-bluebook-bulldozer-price-regression", "kernel_id": "36624951"}, {"ref": "polljjaks/9-tabledatamodeling", "kernel_id": "38963062"}, {"ref": "batuhanakkus/ee543-hw3-batuhan-akku", "kernel_id": "38038627"}, {"ref": "nikkitha8/randomforest-ml-fastai", "kernel_id": "39116558"}, {"ref": "jahidhossen/bulldozer-pridiction", "kernel_id": "39911194"}, {"ref": "knoxxy/bulldozer-price-regression", "kernel_id": "39654896"}, {"ref": "fgarbuzov/bulldozer-bluebook", "kernel_id": "40069341"}, {"ref": "oyebamijimicheal/extensive-eda-of-bulldozer-prices-modeling", "kernel_id": "42838892"}, {"ref": "amalap862001/end-to-end-bulldozer-price-regression-project", "kernel_id": "43444935"}, {"ref": "mergerin/blue-book-for-bulldozers", "kernel_id": "46995413"}, {"ref": "hasanabdulkerimcam/random-forest-regressor", "kernel_id": "47165483"}, {"ref": "muhammadabdullah545/bulldozers-price-predictions", "kernel_id": "47745305"}, {"ref": "abhijeetk597/bulldozer-price-prediction", "kernel_id": "48204603"}, {"ref": "deryaumutkulal/bulldozer-price-prediction", "kernel_id": "49370915"}, {"ref": "sakethyalamanchili/machine-learning-for-bulldozer-prices", "kernel_id": "50777348"}, {"ref": "aleks87/bulldozer-price-evaluation-model", "kernel_id": "51840420"}, {"ref": "galvanizedheart/blue-book-for-bulldozers", "kernel_id": "52180006"}, {"ref": "kunalprakash/bulldozer-price-prediction-rmsle-0-246", "kernel_id": "54051663"}, {"ref": "sarincasm/random-forests", "kernel_id": "58411648"}, {"ref": "al1nasir/bulldozer-price-prediction-rsmle", "kernel_id": "60729507"}, {"ref": "igiengineer/prediction-bulldozer-sale-prices", "kernel_id": "63311942"}, {"ref": "basrieco/bulldozer-valid-rmsle-0-2459", "kernel_id": "64994229"}, {"ref": "zayl001/end-to-end-bulldozer-price-regression", "kernel_id": "64627912"}, {"ref": "iamagamy/bulldozer-price-prediction-rmsle-0-2452", "kernel_id": "67157744"}, {"ref": "mrkidou/bulldozer-price-prediction", "kernel_id": "73821633"}, {"ref": "gehadkamel/intro-to-ml-from-fastai", "kernel_id": "73597803"}, {"ref": "samir95/iti-ml-course-lecture-1", "kernel_id": "75710466"}, {"ref": "samir95/iti-ml-course-lecture-2", "kernel_id": "76143445"}, {"ref": "rikinzala/randomforestregressor-bluebookforbulldozers", "kernel_id": "77571622"}, {"ref": "xefea137/9-tabular-modeling", "kernel_id": "79866053"}, {"ref": "ahmaddghozlan/bluebookbulldozers-notebook", "kernel_id": "87839974"}, {"ref": "fahimshahariar1/bulldozer-price-prediction", "kernel_id": "89530198"}, {"ref": "karol05/bulldozer-price-regression-kaggle", "kernel_id": "90390227"}, {"ref": "micahplen/fastai-book-ch9", "kernel_id": "109742237"}]}
{"competition_id": "3321", "kernels": [{"ref": "keenwarrior/kernelf094d784dd", "kernel_id": "3009950"}]}
{"competition_id": "3337", "kernels": [{"ref": "ragvendrapal/model-training", "kernel_id": "23559926"}, {"ref": "muhriddinmalik/strata", "kernel_id": "34973646"}, {"ref": "mdismielhossenabir/competition-just-the-basics-strata-2013", "kernel_id": "48647077"}, {"ref": "basilnairat/complete-analysing-for-starta-data-for-beginners", "kernel_id": "54145838"}, {"ref": "alexsandroj/just-the-basics-strata-2013-classifier-models", "kernel_id": "60228295"}, {"ref": "karolinerayzel/complete-analysing-for-strata-data-r", "kernel_id": "63238901"}, {"ref": "serhiiyanovskii1/notebook626c50b42b", "kernel_id": "75579780"}, {"ref": "zakiyff/prediction-strata-2013-mlp", "kernel_id": "83886645"}]}
{"competition_id": "3338", "kernels": [{"ref": "lucamassaron/kaggle-days-paris-skopt-catboost-solution", "kernel_id": "2698176"}, {"ref": "dmitrylarko/kaggledays-sf-1-amazon-baseline", "kernel_id": "3389306"}, {"ref": "dmitrylarko/kaggledays-sf-2-amazon-unsupervised-encoding", "kernel_id": "3402586"}, {"ref": "dmitrylarko/kaggledays-sf-3-amazon-supervised-encoding", "kernel_id": "3414311"}, {"ref": "dmitrylarko/kaggledays-sf-4-amazon-end-to-end", "kernel_id": "3527001"}, {"ref": "mitribunskiy/tutorial-catboost-overview", "kernel_id": "3680889"}, {"ref": "hoodini/amazon-employee-access-random-forest", "kernel_id": "4374092"}, {"ref": "lucamassaron/deep-learning-for-tabular-data", "kernel_id": "6220615"}, {"ref": "prashant111/catboost-classifier-in-python", "kernel_id": "6795437"}, {"ref": "carolmay/kernel3cb82e5f29", "kernel_id": "7835121"}, {"ref": "subbareddyalamuru/predicting-action-using-dt-rf-and-bagging-classfr", "kernel_id": "7014039"}, {"ref": "shyamsundarnaik/amazon-employee-access-challenge-using-tree-algms", "kernel_id": "7095157"}, {"ref": "jagannathrk/employees-access-prediction", "kernel_id": "8945223"}, {"ref": "zazakaka/kernel51242a6135", "kernel_id": "8507146"}, {"ref": "orpitadas/amazon-catboost-shap-hyperopt-90-auc-silvermedal", "kernel_id": "8288502"}, {"ref": "yihang123/kernel51242a6135", "kernel_id": "8485991"}, {"ref": "samisha31/employeeaccess", "kernel_id": "9641890"}, {"ref": "vitaliymalcev/catboost-training", "kernel_id": "9172174"}, {"ref": "vibeeshk/amazon-employees-access-prediction", "kernel_id": "10307360"}, {"ref": "arindambaruah/amzn-access-predictions-beginner", "kernel_id": "10348258"}, {"ref": "chinmayiudaybhaskar/my-first-project", "kernel_id": "10462546"}, {"ref": "nehalbandal/predicting-an-employee-s-access-needs", "kernel_id": "12295627"}, {"ref": "pinakimishrads/catboost-multiclass-classification-amazon-data", "kernel_id": "13048680"}, {"ref": "vivekgediya/amazon-com-employee-access-challenge", "kernel_id": "13833967"}, {"ref": "kickitlikeshika/employee-access-eda-data-cleaning", "kernel_id": "14305500"}, {"ref": "pratiksen1995/amazon-com-employee-access-challenge", "kernel_id": "14463672"}, {"ref": "lucamassaron/skopt-for-lightgbm", "kernel_id": "19354904"}, {"ref": "parinaychauhan/amazon-icg", "kernel_id": "19807516"}, {"ref": "pguptaironside/icgtaskamazon", "kernel_id": "19804920"}, {"ref": "sidtep/amazon-prediction", "kernel_id": "20135675"}, {"ref": "shagkala/analysis-part-1-comparing-different-encodings", "kernel_id": "26936202"}, {"ref": "shagkala/analysis-part-3-best-solution-pipeline", "kernel_id": "26936212"}, {"ref": "shagkala/analysis-part-2-different-models-stacking", "kernel_id": "26936214"}, {"ref": "raimondomelis/averaging-predictions-increases-accuracy", "kernel_id": "29459313"}, {"ref": "akhdanfauzan/catboost-vs-lightgbm-vs-xgboost-prediction", "kernel_id": "32999399"}, {"ref": "yellowduck/catboost-classifier-in-python", "kernel_id": "35046836"}, {"ref": "prathyusha1urimindi/catboost-classifier-in-python", "kernel_id": "36934379"}, {"ref": "dmitrysirenchenko/amazon-reviews-keras-glove-lstm-accuracy-89", "kernel_id": "39256978"}, {"ref": "victorynnaji/amazon-employee-access-predictor", "kernel_id": "40502568"}, {"ref": "czarpluto/xgboost-with-class-balance", "kernel_id": "41533032"}, {"ref": "czarpluto/amazon-eda", "kernel_id": "41521874"}, {"ref": "pyliraghuram/cat-boost-classifier", "kernel_id": "42161505"}, {"ref": "musaalamdar/amazon-classified", "kernel_id": "45010094"}, {"ref": "venkatprabup21alr051/amazon-employee-access", "kernel_id": "48570757"}, {"ref": "alperugurca/amazon-com-employee-access-challenge", "kernel_id": "69657351"}, {"ref": "samuelkeno/catboost-tutorial-csec", "kernel_id": "77592013"}, {"ref": "jernejvii/2026urgench-catboost", "kernel_id": "113703414"}, {"ref": "boldizsrtszab/week2-nominal-scale-encoding", "kernel_id": "134334001"}]}
{"competition_id": "3342", "kernels": [{"ref": "mountaga/job-salary-prediction", "kernel_id": "13563120"}, {"ref": "jillanisofttech/job-salary-prediction-by-jst", "kernel_id": "21499309"}, {"ref": "lonnieqin/job-salary-prediction-with-tensorflow", "kernel_id": "23633017"}, {"ref": "uzairahmadxy/mma4-uzairahmad-individualassignment-naive", "kernel_id": "24765701"}, {"ref": "maksadannamuradov/job-salary-prediction", "kernel_id": "24810448"}, {"ref": "sonualexantony/salary-prediction-using-linear-regression-notebook", "kernel_id": "72433278"}]}
{"competition_id": "3346", "kernels": []}
{"competition_id": "3353", "kernels": [{"ref": "diegoasuarezg/transforming-2khz-aiff-whale-audio-to-png", "kernel_id": "35853697"}, {"ref": "diegoasuarezg/wdc-255x255-tfrecord-files-generation", "kernel_id": "36048791"}, {"ref": "diegoasuarezg/whale-detection-through-sound-analysis-w-cnn", "kernel_id": "36088889"}]}
{"competition_id": "3354", "kernels": [{"ref": "semanurkps/ams-traditional-incremental-solar-power-prediction", "kernel_id": "32712001"}, {"ref": "amansolanke/minor-project", "kernel_id": "35705916"}, {"ref": "mohitkhurana21/mk-wind-forecast", "kernel_id": "36026444"}, {"ref": "kriishukla/project", "kernel_id": "56930072"}, {"ref": "davidefiocco/solar-prediction-contest-with-xarray", "kernel_id": "70895470"}, {"ref": "danieleduardoruiz/permutation", "kernel_id": "134911313"}]}
{"competition_id": "3362", "kernels": [{"ref": "andrewkh/test-time-augmentation-tta-worth-it", "kernel_id": "1958249"}, {"ref": "abhishekrock/cat-dog-transfer-learning-tensorflow", "kernel_id": "1765134"}, {"ref": "abhishekrock/cat-dog-try", "kernel_id": "1762722"}, {"ref": "uysimty/keras-cnn-dog-or-cat-classification", "kernel_id": "1933161"}, {"ref": "lujason2015/code-night-cats-and-dogs", "kernel_id": "1767743"}, {"ref": "shanekonaung/cats-and-dogs-using-convnet", "kernel_id": "1953569"}, {"ref": "golddigger1943/golddigger-s-planet", "kernel_id": "1777531"}, {"ref": "golddigger1943/fast-ai-lesson-2-1", "kernel_id": "1777556"}, {"ref": "golddigger1943/golddigger-s-dogs-vs-cats", "kernel_id": "1777560"}, {"ref": "alishmanandhar/transfer-learning", "kernel_id": "1619783"}, {"ref": "luantm/dogs-and-cats-keras-classify", "kernel_id": "1951491"}, {"ref": "luantm/dogs-and-cats-keras-convnet", "kernel_id": "1952348"}, {"ref": "iftekharanam/cats-vs-dogs-classification", "kernel_id": "2049285"}, {"ref": "antedesk/part-7-loading-image-data-exercises", "kernel_id": "2260567"}, {"ref": "arunkhattri/convolutional-neural-network", "kernel_id": "2271091"}, {"ref": "u6yuvi/dog-vs-cat-classification-using-pytorch", "kernel_id": "2425274"}, {"ref": "ruchibahl18/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "2799122"}, {"ref": "muhammedfathi/dogs-vs-cats-using-cnn", "kernel_id": "2085881"}, {"ref": "jianjin/dogs-vs-cats-with-fastai-1-0", "kernel_id": "2429055"}, {"ref": "jchang4/transfer-learning-resnet50-softmax", "kernel_id": "2536877"}, {"ref": "ashukr/transfer-learning-in-pytorch-cat-dog", "kernel_id": "2490545"}, {"ref": "shrawansapre/dogs-vs-cats-convolutional-neural-nets", "kernel_id": "2431625"}, {"ref": "bulentsiyah/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "2618931"}, {"ref": "skychan/cat-vs-dog-transfer-learning", "kernel_id": "2907309"}, {"ref": "kevinyi/dogs-or-cats", "kernel_id": "2487529"}, {"ref": "arpitjain007/fast-ai-lesson-1-image-classification-with-cnn", "kernel_id": "2840290"}, {"ref": "amanagr/vgg16-conv-base-cats-vs-dogs", "kernel_id": "2823380"}, {"ref": "amanagr/cats-vs-dogs-classification", "kernel_id": "2822623"}, {"ref": "damienpark/image-classification-using-cnn", "kernel_id": "2484140"}, {"ref": "pocahontas1010/cats-and-dogs-classifier-with-pytorch", "kernel_id": "2271832"}, {"ref": "pocahontas1010/cats-dogs-classifier-with-pytorch", "kernel_id": "2279427"}, {"ref": "srinivas365/cats-vs-dogs-classifier-using-fastai-v1-0-3", "kernel_id": "2688441"}, {"ref": "bigkizd/convolution-neural-network-for-classification", "kernel_id": "2114975"}, {"ref": "rahul2240/dogs-vs-cats-using-pytorch", "kernel_id": "2891592"}, {"ref": "heinct15/homework-3-cats-vs-dogs", "kernel_id": "2166766"}, {"ref": "everem30/cats-vs-dogs-classification", "kernel_id": "2054633"}, {"ref": "niemtany/cats-vs-dogs-classification", "kernel_id": "2053363"}, {"ref": "jjminan/cats-vs-dogs-classification-is412-hw3", "kernel_id": "2175152"}, {"ref": "ddt2036/cat-dog-demo-transfer-learning", "kernel_id": "2201817"}, {"ref": "ddt2036/cat-dog-demo", "kernel_id": "2171462"}, {"ref": "aquelle/catsanddogs", "kernel_id": "2543333"}, {"ref": "parkjuhee/catdog", "kernel_id": "2993448"}, {"ref": "balanandjha/kernela449d94a35", "kernel_id": "2059481"}, {"ref": "luantm/dogs-and-cats-competition", "kernel_id": "2013073"}, {"ref": "d9d9hann1bal/kernel4ba15451ac", "kernel_id": "2181242"}, {"ref": "bhirsch170/cats-vs-dogs-image-classifier-practice", "kernel_id": "2740021"}, {"ref": "patelfaiz007/cnn-cats-vs-dogs", "kernel_id": "2387194"}, {"ref": "zgding/cat-dog-demo-d6cd15", "kernel_id": "2487505"}, {"ref": "mishra1993/cnn-cat-dog-classification-with-keras-v1", "kernel_id": "2681654"}, {"ref": "mambasa/catvdog", "kernel_id": "2843807"}, {"ref": "tataganesh/cats-vs-dogs-simple", "kernel_id": "3331996"}, {"ref": "srispirit/eda-keras-cnn-tutorial-cats-vs-dogs", "kernel_id": "3081539"}, {"ref": "manjuransari143/keras-cnn-classifier", "kernel_id": "3076725"}, {"ref": "gianfa/fastaiv1-image-classifier", "kernel_id": "3010176"}, {"ref": "ahmadsayed/svm-ahmad-sayed", "kernel_id": "3555960"}, {"ref": "igorpereirabr/keras-cnn-based-on-transfer-learning", "kernel_id": "3978261"}, {"ref": "serkanpeldek/keras-cnn-transfer-learnings-on-cats-dogs-dataset", "kernel_id": "3977555"}, {"ref": "veshitala/keras-cnn-dog-or-cat-classification", "kernel_id": "3917680"}, {"ref": "hojjatk/cats-or-dogs", "kernel_id": "3462014"}, {"ref": "jaeboklee/pytorch-cat-vs-dog", "kernel_id": "3947880"}, {"ref": "rishrk007/cnn-dog-vs-cat-classification", "kernel_id": "3358710"}, {"ref": "someshkb10/cats-vs-dogs-cnn-classifier", "kernel_id": "3023618"}, {"ref": "parkjuhee/kernelbf3a07e480", "kernel_id": "3491545"}, {"ref": "parkjuhee/catdog-inceptionc3-avg", "kernel_id": "3471943"}, {"ref": "parkjuhee/catdog-inception3-flatten", "kernel_id": "3481015"}, {"ref": "parkjuhee/catdog-vggavg-pretrained", "kernel_id": "3460239"}, {"ref": "parkjuhee/catdogresnet-nonpretrained", "kernel_id": "3394517"}, {"ref": "parkjuhee/catdogresnet-pretrained", "kernel_id": "3393248"}, {"ref": "parkjuhee/catsdogsvgg-pre-trained", "kernel_id": "3370836"}, {"ref": "parkjuhee/catsdogsvgg2-pre-trained", "kernel_id": "3380805"}, {"ref": "parkjuhee/catdogvgg19-nopretrained", "kernel_id": "3381151"}, {"ref": "parkjuhee/catdog2-vgg-noaug-alldataset", "kernel_id": "3252335"}, {"ref": "parkjuhee/catdog3-vgg-gap-noaug-alldata-64x64-gray", "kernel_id": "3255221"}, {"ref": "parkjuhee/catdog4-vgg-64x64-gap-color", "kernel_id": "3255598"}, {"ref": "d3m0nk1ght/dogs-vs-cats", "kernel_id": "3105725"}, {"ref": "muhammadumarfarrukh/kernel03668af7ee", "kernel_id": "3142077"}, {"ref": "ahmednasser97/cat-dog", "kernel_id": "3506724"}, {"ref": "zgding/fork-of-cat-dog-demo-d6cd15", "kernel_id": "3100443"}, {"ref": "descrierx/cats-dogs-wo-pretrain-nw", "kernel_id": "3896183"}, {"ref": "varnez/dog-vs-cat-classification-cnn-approximation", "kernel_id": "3651187"}, {"ref": "yuriao/kernel322f50cccb", "kernel_id": "3828799"}, {"ref": "tj2552/image-classificaiton", "kernel_id": "4241685"}, {"ref": "shubham219/using-simple-keras-convolution-network", "kernel_id": "4829644"}, {"ref": "amalphonse/dogsvscats-anju-using-transferlearning", "kernel_id": "4759972"}, {"ref": "brandonyongys/dog-or-cat-classification", "kernel_id": "4774132"}, {"ref": "iashreya/dogscatsclassifier", "kernel_id": "4307638"}, {"ref": "donkeys/keras-binary-cats-dogs-resnet-98", "kernel_id": "4062674"}, {"ref": "weiwei142/vgg16", "kernel_id": "4243688"}, {"ref": "weiwei142/cnn-image", "kernel_id": "4249842"}, {"ref": "weiwei142/vgg16-fine-tuning", "kernel_id": "4267142"}, {"ref": "geoffreygeo/who-am-i-dog-cat", "kernel_id": "4480388"}, {"ref": "ilyushin/cats-and-dogs-classification-2024-accuracy-98", "kernel_id": "4544396"}, {"ref": "pintu161/transfer-learning-in-pytorch-using-resnet18", "kernel_id": "4589425"}, {"ref": "mohabdiab/dogs-vs-cats", "kernel_id": "4018645"}, {"ref": "ignotus09/image-classification-dogs-vs-cats", "kernel_id": "4908538"}, {"ref": "wangzhilin/kernelaedb4a5aba", "kernel_id": "4105703"}, {"ref": "samsonqian/cats-vs-dogs", "kernel_id": "4991147"}, {"ref": "adisurana1/cats-vs-dogs", "kernel_id": "4101563"}, {"ref": "ritaprava95/dogsvscatssequential", "kernel_id": "4518640"}, {"ref": "vinayjaingarg28/cats-vs-dog-classifier", "kernel_id": "4899670"}, {"ref": "foonia/dogs-vs-cats", "kernel_id": "4613556"}, {"ref": "criscastromaya/01-introduction-to-pytorch", "kernel_id": "4649390"}, {"ref": "jayachander123/cnn-keras-tensorflow-data-augmentation", "kernel_id": "4167381"}, {"ref": "batibayburak/catsvsdogs", "kernel_id": "4658653"}, {"ref": "wuhao2809/keras-cnn-cpt-or-cwt-classification", "kernel_id": "4858429"}, {"ref": "vishalranjaniitgn/kernel022ed2ee68", "kernel_id": "4112223"}, {"ref": "abdelrahmangamil/cat-person", "kernel_id": "4012972"}, {"ref": "sajaldeb25/dog-and-cat-by-cnn", "kernel_id": "4463449"}, {"ref": "sajaldeb25/dog-and-cat-by-cnn-karnel-2", "kernel_id": "4470085"}, {"ref": "good74152/dogs-vs-cats-use-fastai-v3", "kernel_id": "4813270"}, {"ref": "pozorvlak/dogs-vs-cats-2", "kernel_id": "5046868"}, {"ref": "tuohai1992/kernel272e303814", "kernel_id": "5883989"}, {"ref": "klin059/image-recognition-cats-vs-dogs", "kernel_id": "5275119"}, {"ref": "aleksandradeis/data-augmentation-packages-overview", "kernel_id": "5018125"}, {"ref": "saffetgokcensen/vgg16-transfer-learning-feature-extraction", "kernel_id": "5350264"}, {"ref": "saffetgokcensen/cats-and-dogs-data-augmentation", "kernel_id": "5330379"}, {"ref": "falahgs/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "5796065"}, {"ref": "amythshekhar/cats-n-dogs-using-cnn-via-keras", "kernel_id": "5777777"}, {"ref": "rhaerma/catsu-doggo", "kernel_id": "5778840"}, {"ref": "inotaku/using-fine-tuned-model-of-vgg16-by-keras", "kernel_id": "5147718"}, {"ref": "jdkorea/dog-and-cats", "kernel_id": "5312579"}, {"ref": "thanhtra/using-cnn-to-classify-cats-vs-dogs", "kernel_id": "5730855"}, {"ref": "atsushi015/xgboost-cats-vs-dogs-classification-with-pca", "kernel_id": "5313084"}, {"ref": "utsavpatel51/dog-vs-cat", "kernel_id": "5756479"}, {"ref": "a4aakash/kernel4653d95ad7", "kernel_id": "5039146"}, {"ref": "schateau/cnn-with-ic-layer", "kernel_id": "5946542"}, {"ref": "marrrco5/dogs-vs-cats-transfer-learning-model", "kernel_id": "5885324"}, {"ref": "marrrco5/dogs-vs-cats-image-classification-problem", "kernel_id": "5856040"}, {"ref": "eddyn73/keras-cnn-dog-or-cat-classification-demo", "kernel_id": "5126642"}, {"ref": "vladsamarov/dog-cat-training-without-validation", "kernel_id": "5406031"}, {"ref": "rohit1277/cat-dog-classifier-using-vgg16-transfer-learning", "kernel_id": "5079048"}, {"ref": "bhaskaram/kernel3e49b79229", "kernel_id": "5994837"}, {"ref": "raflyalk/dogs-vs-cats", "kernel_id": "5801608"}, {"ref": "libai6690/dogs-vs-cats-classification", "kernel_id": "5884575"}, {"ref": "jjbuchanan/cnn-study-dogs-vs-cats", "kernel_id": "6099134"}, {"ref": "jjbuchanan/learning-rates-study-dogs-vs-cats", "kernel_id": "6343006"}, {"ref": "vgautam99/keras-cnn-dog-or-cat-classification", "kernel_id": "6309009"}, {"ref": "kanametov/cats-vs-dogs-vgg16", "kernel_id": "6723030"}, {"ref": "kanametov/cats-vs-dogs", "kernel_id": "6724516"}, {"ref": "thehandler/catdogclassifier", "kernel_id": "6839601"}, {"ref": "lielma/kaggle-liel-vgg16-competition", "kernel_id": "6865655"}, {"ref": "mitkir/cat-dog-classifier-using-vgg16-tl-da", "kernel_id": "6486645"}, {"ref": "vinaydoshi/dogs-vs-cats-using-resnet50-imagenet-features", "kernel_id": "6495435"}, {"ref": "kevinissac47/cats-and-dogs-with-keras", "kernel_id": "6020664"}, {"ref": "masfour/98-5-accuracy-dogs-vs-cats-resnet-classifier", "kernel_id": "6288206"}, {"ref": "royalraja/dog-vs-cat-classification-cnn-approximation", "kernel_id": "6245106"}, {"ref": "kanishanand/dogs-vs-cats", "kernel_id": "6894793"}, {"ref": "schateau/maxout-dropout", "kernel_id": "6044996"}, {"ref": "zymethyang/kernel50137a2252", "kernel_id": "6166755"}, {"ref": "ameerhamza1474/catsdogs", "kernel_id": "6488404"}, {"ref": "xiormeesh/cnn-cats-vs-dogs-classification", "kernel_id": "6665833"}, {"ref": "abdallahhassan/dogs-vs-cats-vgg-keras-transfere-learning", "kernel_id": "6797046"}, {"ref": "ztaihong/cats-dogs-basic-cnn", "kernel_id": "6274612"}, {"ref": "ztaihong/cats-dogs-basic-cnn-re-tl", "kernel_id": "6283756"}, {"ref": "ztaihong/cats-dogs-basic-cnn-re", "kernel_id": "6279624"}, {"ref": "ztaihong/cats-dogs-basic-cnn-re-aug", "kernel_id": "6282162"}, {"ref": "ztaihong/cats-dogs-mobilenetv2-transfer-learning", "kernel_id": "6302138"}, {"ref": "allen21huang/text-generator-based-on-shakespeare-s-sonnets", "kernel_id": "6729004"}, {"ref": "yashwanthm0330/svm111", "kernel_id": "6265737"}, {"ref": "m0nika/cnn-dogvscat-classification", "kernel_id": "6919940"}, {"ref": "m0nika/catvsdog-cnn-classification", "kernel_id": "6904382"}, {"ref": "yearing1017/keras-cnn", "kernel_id": "6654331"}, {"ref": "gurleenkaur1109/dogs-cats-classification", "kernel_id": "6710325"}, {"ref": "annazaitseva/nudity-detection", "kernel_id": "6724405"}, {"ref": "gadaadhaarigeek/vgg16-cat-or-dog", "kernel_id": "7468176"}, {"ref": "mylee2009/vgg-16-tl-vs-vgg-hard-coded-vs-small-nn", "kernel_id": "7793460"}, {"ref": "hurumori/dogs-vs-cats-keras-cnn-with-transfer-learning", "kernel_id": "7286220"}, {"ref": "prudhvi9999/catsvsdogs", "kernel_id": "7501836"}, {"ref": "ranjithrj23/simple-classification-using-tensorflow-2-0", "kernel_id": "7021501"}, {"ref": "rahulkod/cats-dogs", "kernel_id": "7693934"}, {"ref": "yairhadad1/cnn-classification", "kernel_id": "7790298"}, {"ref": "butikku/trial-of-dogs-vs-cats", "kernel_id": "7921314"}, {"ref": "mariyam51/1dl-cat-vs-dog", "kernel_id": "7492847"}, {"ref": "nyjoey/dog-cat-classifier", "kernel_id": "7489149"}, {"ref": "aashiqb/dogs-vs-cats-keras-cnn", "kernel_id": "7890379"}, {"ref": "pritul2/cat-v-s-dog-classifier", "kernel_id": "7014420"}, {"ref": "ashishpytho/cnn-dogsvscats", "kernel_id": "7756885"}, {"ref": "badwoman/kernel37be912311", "kernel_id": "7666808"}, {"ref": "badwoman/kernel584fca176d", "kernel_id": "7666868"}, {"ref": "gokulramesh125/kernel9c6d4bb667", "kernel_id": "7302786"}, {"ref": "abdallahhassan/dogs-cats-resnet50-transfere-learning", "kernel_id": "7147676"}, {"ref": "abdallahhassan/dogs-cats-mobilenetv2-transfere-learning", "kernel_id": "7136139"}, {"ref": "abdallahhassan/dogs-cats-inceptionv3-transfer-learning", "kernel_id": "7213143"}, {"ref": "bktanloc/kernel5bfef1ff4d", "kernel_id": "7977972"}, {"ref": "priyankabnl/dogs-vs-cats-using-tensorflow", "kernel_id": "7114017"}, {"ref": "maheensaleh40/transferlearningresnet152-catsdogs", "kernel_id": "7376035"}, {"ref": "maheensaleh40/transferlearning1", "kernel_id": "7341665"}, {"ref": "imenlabiedh/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "7677829"}, {"ref": "aishwaryamv/keras-cnn-dog-or-cat-classification", "kernel_id": "7766511"}, {"ref": "tychai/dogs-vs-cats-classification", "kernel_id": "8506332"}, {"ref": "swapnilpote/dogs-vs-cats", "kernel_id": "8033159"}, {"ref": "abedkhooli/ktrain-cats-vs-dogs", "kernel_id": "8369066"}, {"ref": "gauravbrills/dogs-vs-cats-with-keras", "kernel_id": "8788044"}, {"ref": "v3dsingh/transfer-learning-xception-using-cpu-only", "kernel_id": "8920880"}, {"ref": "gkslshn/catdogs-alexnet-keras", "kernel_id": "8525474"}, {"ref": "gkslshn/cat-dog-resnet-keras", "kernel_id": "8633588"}, {"ref": "eyyeung/tf-keras-cnn-classification-dogs-vs-cats", "kernel_id": "8268181"}, {"ref": "hsaeme/dogs-vs-cats-pytorch-using-resnet18", "kernel_id": "8201808"}, {"ref": "ttya16/quick-cat-vs-dogs-model", "kernel_id": "8954929"}, {"ref": "nitishmcfc/nitish-cat-vs-dog", "kernel_id": "8346281"}, {"ref": "myndel/dogs-vs-cats-90-using-data-augmentation", "kernel_id": "8183992"}, {"ref": "sorxcode/cats-vs-dogs-keras", "kernel_id": "8358896"}, {"ref": "swapnil554/kernel2d87deb123", "kernel_id": "8438259"}, {"ref": "akhileshthakur/kernel5540bd3b66", "kernel_id": "8821016"}, {"ref": "rishabhx3/dogs-vs-cats", "kernel_id": "8508830"}, {"ref": "amangoyal99/dlq-transfer-learning", "kernel_id": "8754761"}, {"ref": "sravanchittupalli/catsvsdogs", "kernel_id": "8538761"}, {"ref": "devrajsoni/keras-cnn-dog-or-cat-classification", "kernel_id": "8718677"}, {"ref": "alegend4u/dogs-vs-cats", "kernel_id": "8427949"}, {"ref": "ladanuzhna/dogs-cats-classifier", "kernel_id": "8724143"}, {"ref": "nazmul0087/kernel425fa25b6c", "kernel_id": "8680978"}, {"ref": "hanjinho/keras-cnn-dog-or-cat-classification", "kernel_id": "8173343"}, {"ref": "irfanmansuri/cat-vs-dogs", "kernel_id": "8820161"}, {"ref": "usmantahirkiani/catdogs-alexnet-keras", "kernel_id": "8731671"}, {"ref": "arnabdas8901/cats-vs-dogs-using-resnet", "kernel_id": "8633290"}, {"ref": "marcostidball/catvsdog-cnn", "kernel_id": "8500668"}, {"ref": "marcostidball/dogs-vs-cats-cnn-with-vgg16", "kernel_id": "8519152"}, {"ref": "paulkim57/cat-vs-dog", "kernel_id": "8628322"}, {"ref": "arunkmr/dogs-vs-cats-classification-via-transfer-learning", "kernel_id": "9372316"}, {"ref": "subhamoybhaduri/cnn-cat-and-dog-classification", "kernel_id": "9385658"}, {"ref": "atapia/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "9559026"}, {"ref": "gajjadarahul/catsanddogs", "kernel_id": "9666261"}, {"ref": "nguyenhoa/dog-cat-classifier-gradcam-with-tensorflow-2-0", "kernel_id": "9742571"}, {"ref": "surveshchauhan/dogs-vs-cats-classification-vgg16-resnets", "kernel_id": "9212431"}, {"ref": "qeeqez/catvsdogml", "kernel_id": "9190160"}, {"ref": "lalalayujian/pytorch-cnn-dog-vs-cat", "kernel_id": "9357032"}, {"ref": "joydeb28/simple-cnn-using-keras", "kernel_id": "9117500"}, {"ref": "nvnvashisth/learn-pytorch", "kernel_id": "9917459"}, {"ref": "nvnvashisth/keras-conv-sgd-dropout-augmentation", "kernel_id": "9951546"}, {"ref": "saekiryosuke/classifier-pytorch-fine-tuning", "kernel_id": "9579110"}, {"ref": "dormann/dogs-vs-cats-cnn-classification", "kernel_id": "9305714"}, {"ref": "rahulbana/dog-vs-cat-classifier", "kernel_id": "9927608"}, {"ref": "shailendra2811/conv-nn-based-cat-dog-classifier-95-accuracy", "kernel_id": "9056417"}, {"ref": "shailendra2811/vgg-based-cat-dog-classifier-98-accuracy", "kernel_id": "9115205"}, {"ref": "shailendra2811/vgg19-based-cat-dog-classifier-98-accuracy", "kernel_id": "9118453"}, {"ref": "elbanan/radtorch-demo", "kernel_id": "9485717"}, {"ref": "gdvl777/kernel5d3bc5cb26", "kernel_id": "9558884"}, {"ref": "andre13andre/dogs-vs-cat", "kernel_id": "9687157"}, {"ref": "angqx95/feature-extractor-fine-tuning-with-keras", "kernel_id": "9063148"}, {"ref": "ichrnkv/cat-or-dog", "kernel_id": "9244827"}, {"ref": "ichrnkv/augmentations", "kernel_id": "9307662"}, {"ref": "kumareshbabuns/cats-vs-dogs", "kernel_id": "9230721"}, {"ref": "charlotte26/catsvsdogs", "kernel_id": "9246376"}, {"ref": "saritablue/kernel3f8a755317", "kernel_id": "9326233"}, {"ref": "dwayne99/cats-vs-dogs-using-vgg16-in-pytorch", "kernel_id": "9906430"}, {"ref": "pkalra001/keras-dog-cat-cnn-classifier", "kernel_id": "9730714"}, {"ref": "shubham10i/cats-vs-dogs", "kernel_id": "9301257"}, {"ref": "jonyboi14/cats-vs-dogs-with-validation-set", "kernel_id": "9353414"}, {"ref": "uttam94/dog-vs-cat-using-vgg16", "kernel_id": "9731613"}, {"ref": "nazmul0087/cnn-basic", "kernel_id": "9007107"}, {"ref": "rsradhakrishnan/cats-vs-dogs-densenet", "kernel_id": "9412072"}, {"ref": "khanh98/dogs-vs-cats", "kernel_id": "9621942"}, {"ref": "leoalv99/ml-cd", "kernel_id": "9717510"}, {"ref": "dimakyn/knn-image-classification", "kernel_id": "9411913"}, {"ref": "komalkalyanraman/nasnet-dogs-vs-cats-98-accuracy", "kernel_id": "9237333"}, {"ref": "sudeshmate/cat-vs-dog-classifier", "kernel_id": "9066031"}, {"ref": "dserpuhovitin/googlenet-catsvsdog", "kernel_id": "9192218"}, {"ref": "renyuzhuo/cat-or-dog", "kernel_id": "9021658"}, {"ref": "aepeters/keras-cnn-dog-or-cat-val-acc-0-99", "kernel_id": "9212614"}, {"ref": "haithamelshenawy/cat-dog-calssification", "kernel_id": "9343389"}, {"ref": "codercop/kernel7358818f4c", "kernel_id": "9804288"}, {"ref": "vipulshinde/dogs-vs-cats-using-custom-cnn-vgg16-model", "kernel_id": "9145791"}, {"ref": "abdulmananengr/keras-cnn-dog-or-cat-classification", "kernel_id": "9007148"}, {"ref": "abdulmananengr/catdogs-alexnet-keras-abdulmanan", "kernel_id": "9005151"}, {"ref": "hellosam/qml-9-dogs-vs-cat-transfer-learning", "kernel_id": "9331068"}, {"ref": "stanislauhlebik/cats-vs-dogs", "kernel_id": "9242781"}, {"ref": "stanislauhlebik/transfer-learning-cnn", "kernel_id": "9648955"}, {"ref": "remtekin/keras-cnn-dog-or-cat-classification", "kernel_id": "9270535"}, {"ref": "reyhanehdehghan/dogs-vs-cats", "kernel_id": "9232894"}, {"ref": "erickmejia/kernel1ae2e9916d", "kernel_id": "9559078"}, {"ref": "user149536/dog-cat-classifying", "kernel_id": "10533398"}, {"ref": "anirbanmalick/pytorch-with-pretrained-model", "kernel_id": "10885970"}, {"ref": "ar90ngas/dogs-vs-cats-efficientnet", "kernel_id": "10622411"}, {"ref": "vivekpandain/vgg-implementation", "kernel_id": "10041884"}, {"ref": "vivekpandain/alexnet-implementation", "kernel_id": "10040066"}, {"ref": "marcellosusanto/tf-coursera-notebook", "kernel_id": "10262200"}, {"ref": "kaushalk/catvsdog", "kernel_id": "10391358"}, {"ref": "afsar415/kernel2bbb56a02a", "kernel_id": "10844256"}, {"ref": "kero0000/dogs-vs-cats-cnn-model-with-data-augmentation", "kernel_id": "10480930"}, {"ref": "sadjyothgangolli/dogvscatclassifier", "kernel_id": "10323237"}, {"ref": "anupriyo/dogs-and-cats-classification-using-inception-v3", "kernel_id": "10880066"}, {"ref": "chungngph/binary-classify-by-vgg19", "kernel_id": "10070322"}, {"ref": "natsudragnoeel/dog-cat-classifier", "kernel_id": "10965713"}, {"ref": "kamleshsolanki/dog-vs-cat-classification", "kernel_id": "10041096"}, {"ref": "sahil2398/cats-vs-dogs-cnn", "kernel_id": "10671824"}, {"ref": "rishirao/cats-dogs", "kernel_id": "10832340"}, {"ref": "nadeemsk4347/module4", "kernel_id": "10837396"}, {"ref": "ayushparhi/dogs-vs-cats", "kernel_id": "10051829"}, {"ref": "shakirulhasan/dogs-vs-cats-handcrafted-cnn", "kernel_id": "10347468"}, {"ref": "karankishanshetty/dog-vs-cat-fast-ai", "kernel_id": "10552000"}, {"ref": "skbadhsm/cats-v-s-dogs-resnet50", "kernel_id": "10358402"}, {"ref": "skbadhsm/cats-v-s-dogs-vgg16", "kernel_id": "10355802"}, {"ref": "skbadhsm/cats-v-s-dogs-alexnet", "kernel_id": "10344226"}, {"ref": "parkbumsu/cat-dog-cnn", "kernel_id": "10445565"}, {"ref": "ahntaewoong/cat-and-dog-cnn", "kernel_id": "10429159"}, {"ref": "mirmahathirmohammad/kaggle-dog-vs-cat", "kernel_id": "10794072"}, {"ref": "thinkdigvijay/dogs-vs-cats", "kernel_id": "10800643"}, {"ref": "rahulxd/dogs-vs-cats-dawn-of-paws-validation", "kernel_id": "10835578"}, {"ref": "yashsh47/kerneld2c231922f", "kernel_id": "10854893"}, {"ref": "diyagupta/kernel26f4733252", "kernel_id": "10849827"}, {"ref": "alberto256/cats-vs-dogs-using-cnn-for-classification-91-7", "kernel_id": "10527073"}, {"ref": "asthabhushan/dog-vs-cats", "kernel_id": "10348779"}, {"ref": "deeppatel23/cat-or-dog-classification", "kernel_id": "10092880"}, {"ref": "rachitpulhani/kernel4c8c00dc7f", "kernel_id": "10852537"}, {"ref": "londhebtc/conv-cat-dog", "kernel_id": "10616977"}, {"ref": "ishaanaditya/dogs-vs-cats", "kernel_id": "10742421"}, {"ref": "bluetriad/mark-1", "kernel_id": "10953901"}, {"ref": "minnieliang/photo-melanoma-pytorch", "kernel_id": "10639947"}, {"ref": "aracelivelazquez/keras-cnn-dog-or-cat-classification", "kernel_id": "10843342"}, {"ref": "qrsforever/pytorch-lightning-dogs-vs-cats-on-resnet50", "kernel_id": "11881405"}, {"ref": "dipeshpoudel/catvsdogcnnbasic", "kernel_id": "11698379"}, {"ref": "akhilgupta/cats-vs-dogs-using-cnn-and-keras-90", "kernel_id": "11081778"}, {"ref": "wanghuadvd/kerasbatch20", "kernel_id": "11204702"}, {"ref": "vishvdeep/cat-vs-dog-classifier-using-tensorflow-2-0", "kernel_id": "11890339"}, {"ref": "vasukalariya/catsvdogs", "kernel_id": "11300790"}, {"ref": "matthiasmurray/notebook45073be1a5", "kernel_id": "11263144"}, {"ref": "soumyajitdey7/dogs-vs-cats-with-vgg16", "kernel_id": "11677527"}, {"ref": "eslam97/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "11715731"}, {"ref": "shweta2407/dog-cat-classification-using-transfer-learning", "kernel_id": "11967905"}, {"ref": "sgauravm/image-clustering", "kernel_id": "11739838"}, {"ref": "mohamedbadr8817/cnn-cat-and-dog-classification", "kernel_id": "11371850"}, {"ref": "dktalaicha/cat-dog-classification-using-keras-cnn", "kernel_id": "11325364"}, {"ref": "bagavathypriya/data-augumentation-technique", "kernel_id": "11106067"}, {"ref": "pranaykankariya/dogsvscats-binary-classifier-inception-v3", "kernel_id": "11287171"}, {"ref": "menseki/vgg16", "kernel_id": "11361426"}, {"ref": "samuelwy/dogs-cat-using-transfer-learning", "kernel_id": "11317761"}, {"ref": "enoumy/keras-cnn-dog-or-cat-classification", "kernel_id": "11829871"}, {"ref": "hinamxx/catsvsdogs-classification-with-inceptionv3-99", "kernel_id": "11208062"}, {"ref": "ignaciozamora/cats-vs-dogs-logistic-regression", "kernel_id": "11441469"}, {"ref": "ezeanyi/dog-or-cat-with-cnn", "kernel_id": "11748295"}, {"ref": "meetmangukia/cats-v-dogs", "kernel_id": "11496261"}, {"ref": "timothyalexjohn/cat-dog-classifier", "kernel_id": "11266673"}, {"ref": "aymannasser/keras-deep-cnn-arch-implementation", "kernel_id": "11793658"}, {"ref": "sejalkshirsagar/cats-vs-dogs-2-transfer-learning", "kernel_id": "11805937"}, {"ref": "sejalkshirsagar/cats-vs-dogs-1-learning-from-scratch", "kernel_id": "11799654"}, {"ref": "nathanjosephjacob/dogs-vs-cats-vgg16", "kernel_id": "11084014"}, {"ref": "felipeoliveiraml/dogs-cats-transferlearning-vgg-19", "kernel_id": "11036582"}, {"ref": "safayet1610039/cat-vs-dog-using-transferlearning", "kernel_id": "11270905"}, {"ref": "safayet1610039/cat-vs-dog-using-tensorflow-augmentation", "kernel_id": "11265912"}, {"ref": "ridwanur99/kernel12aedad11e", "kernel_id": "11093430"}, {"ref": "mafify/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "11713377"}, {"ref": "erikrodionov/dog-vs-cat", "kernel_id": "11064314"}, {"ref": "hucuiooo/resnet50-dogs-cats", "kernel_id": "11966256"}, {"ref": "nathanh4903/fork-of-notebookcefdb99c16", "kernel_id": "11428886"}, {"ref": "kinsomaz/cats-vs-dogs-using-cnn-and-keras-90", "kernel_id": "11107161"}, {"ref": "jhe2918/deep-learning-3a-what-is-convnet", "kernel_id": "11142789"}, {"ref": "selvakumarperumal/dog-vs-cat", "kernel_id": "11190203"}, {"ref": "ojimenez19/cat-vs-dogs-with-logisticregression", "kernel_id": "11489977"}, {"ref": "tejshahi/simple-cnn-for-dog-vs-cat-classification", "kernel_id": "12231305"}, {"ref": "yasermarey/transfer-learning-inception-v3-on-cats-vs-dogs", "kernel_id": "12194302"}, {"ref": "yasermarey/finding-least-complex-cnn-with-best-performance", "kernel_id": "12193342"}, {"ref": "yasermarey/k-folds-cross-validation-cats-vs-dogs", "kernel_id": "12211664"}, {"ref": "laxmena/dogs-vs-cats", "kernel_id": "12301379"}, {"ref": "askolkova/image-classification-cats-vs-dogs", "kernel_id": "12613945"}, {"ref": "aar1997/keras-cnn-dog-vs-cat", "kernel_id": "12700222"}, {"ref": "aar1997/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "12700393"}, {"ref": "amelnozieres/tensorflow-classify-catsvsdogs", "kernel_id": "12257210"}, {"ref": "nickdata/dogsvscats-classification-94", "kernel_id": "12579359"}, {"ref": "bhaskar47/dogsvcats-vgg16-finetunning-vs-bottleneck", "kernel_id": "12804331"}, {"ref": "scaomath/washu-math-circle-how-computer-learns-cat-vs-dog", "kernel_id": "12494776"}, {"ref": "scaomath/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "12483299"}, {"ref": "moschte09/cat-vs-dog", "kernel_id": "12338112"}, {"ref": "sandeshpatkar/cats-and-dogs-classification-95-accuracy", "kernel_id": "12168918"}, {"ref": "yeahanz/pelatihan-b401", "kernel_id": "12171417"}, {"ref": "shonyacid/dogs-vc-cats-cnn", "kernel_id": "12856875"}, {"ref": "l0new0lf/dog-cat-classifier", "kernel_id": "12478181"}, {"ref": "l0new0lf/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "12391045"}, {"ref": "thusboy/pytorch-cat-vs-dog", "kernel_id": "12845347"}, {"ref": "naimur978/transfer-learning-99-9-validation-accuracy", "kernel_id": "12014430"}, {"ref": "gauravsharma11/dog-vs-cat", "kernel_id": "12011002"}, {"ref": "rahesh95/basic-cnn", "kernel_id": "12622909"}, {"ref": "alexgoncharenko/dogs-or-cats", "kernel_id": "12254859"}, {"ref": "shaft49/cats-vs-dogs", "kernel_id": "12095776"}, {"ref": "maryamrahbaralam/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "12593511"}, {"ref": "tabriznuruyev/pytorch-cnn-from-scratch", "kernel_id": "12185755"}, {"ref": "kushagras71/tensorflow-cnn-cat-v-s-dog", "kernel_id": "12302658"}, {"ref": "surajk02/cats-vs-dogs-cnn", "kernel_id": "12799439"}, {"ref": "caneralp/keras-cnn-dog-or-cat-classification", "kernel_id": "12943184"}, {"ref": "nishanthnarayanan/binary-classification-cat-vs-dog", "kernel_id": "12202283"}, {"ref": "kamalkhumar/cat-or-dog-classification-keras-cnn", "kernel_id": "12197111"}, {"ref": "aiperialymbaeva/cat-or-dog", "kernel_id": "12669651"}, {"ref": "sarthak1799/catvdog17", "kernel_id": "12750211"}, {"ref": "fradipta/simple-dog-vs-cats-classification", "kernel_id": "12874236"}, {"ref": "onurakkse/simple-tutorial-dogvscat-classification-with-keras", "kernel_id": "12727861"}, {"ref": "shreyasvedpathak/dogs-vs-cats-keras-functional-api", "kernel_id": "12585958"}, {"ref": "shreyasvedpathak/cats-vs-dogs-advanced", "kernel_id": "12564714"}, {"ref": "shreyasvedpathak/cats-vs-dogs-simple", "kernel_id": "12567961"}, {"ref": "devlab/dogs-vs-cats", "kernel_id": "12334569"}, {"ref": "zainahmedsharif/mycatsvsdogskernal", "kernel_id": "12328277"}, {"ref": "mohamedhasballa/cnn-cat-or-dog-classifier", "kernel_id": "12404355"}, {"ref": "mattrizzato/cats-vs-dogs", "kernel_id": "12935633"}, {"ref": "chuckedfromspace/dogs-v-cats-cnn-with-preprocessing-layers", "kernel_id": "12982288"}, {"ref": "numairh/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "12795911"}, {"ref": "mrizwansaeed/meow-vs-woof-from-scratch-and-pre-trained", "kernel_id": "13802740"}, {"ref": "dimwael/notebookdbb8ed39bf", "kernel_id": "13956516"}, {"ref": "mishrarajat91/cats-vs-dogs", "kernel_id": "13316166"}, {"ref": "pra1210/image-classification-with-tf1", "kernel_id": "13654058"}, {"ref": "alpertemel/deal-with-cnn-90", "kernel_id": "13514817"}, {"ref": "shyambhu/dog-cat-classification-activation-fn-chapter", "kernel_id": "13341611"}, {"ref": "agungwic/dogvscat", "kernel_id": "13211998"}, {"ref": "scaomath/washu-math-undergrad-seminar-dec-2020", "kernel_id": "13405119"}, {"ref": "minatoma/notebook370930efca", "kernel_id": "13624184"}, {"ref": "satinderpalsingh/cats-dogs-cnn-transfer-lear-inceptionresnet", "kernel_id": "13654290"}, {"ref": "alexnatal/resnet-v2-data-aug", "kernel_id": "13282902"}, {"ref": "alexnatal/convolutionnn", "kernel_id": "13176404"}, {"ref": "dhruvsharma845/cats-vs-dogs-cnn-tf-keras-ipynb", "kernel_id": "13852920"}, {"ref": "sanjeev07/cats-vs-dogs", "kernel_id": "13107151"}, {"ref": "sanjeev07/keras-cnn-dog-or-cat-classification", "kernel_id": "13106951"}, {"ref": "faisalahmedbijoy/meow-vs-woof-from-scratch-and-pre-trained", "kernel_id": "13981488"}, {"ref": "ankitkumarsaini/fine-tuning-resnet50-inceptionv3", "kernel_id": "13810029"}, {"ref": "mmaaz60/pytorch-train-embeddings", "kernel_id": "13191550"}, {"ref": "kaushikjatin/notebook4d5b6685d6", "kernel_id": "13811715"}, {"ref": "devanshgoyal/cat-vs-dog-using-standard-nn", "kernel_id": "13790007"}, {"ref": "raghavdaga/ee628-finalproject-attempt1", "kernel_id": "13141653"}, {"ref": "menseki/keras-resnet", "kernel_id": "13670949"}, {"ref": "menseki/keras-googlenet", "kernel_id": "13647615"}, {"ref": "menseki/keras-vgg", "kernel_id": "13628846"}, {"ref": "okiehomarismail/image-recognition-with-tensorflow", "kernel_id": "13710598"}, {"ref": "lightxkun/cats-v-dogs", "kernel_id": "13300530"}, {"ref": "danielvegamyhre/pytorch-cnn-w-data-augmentation", "kernel_id": "13968547"}, {"ref": "darthmanav/dog-vs-cat-classification-using-cnn", "kernel_id": "13771002"}, {"ref": "satyamkryadav/dogs-vs-cat", "kernel_id": "13779959"}, {"ref": "sofianeben/classify-dogs-vs-cats", "kernel_id": "13342412"}, {"ref": "jeongwonkim10516/dogs-vs-cats-using-skimage-and-sklearn", "kernel_id": "13258379"}, {"ref": "harishml/cats-dogs-classification", "kernel_id": "13596626"}, {"ref": "yuxinzhangjasmine/cnn-classify-catsdogs", "kernel_id": "13606014"}, {"ref": "kevintoner222/cats-vs-dogs-greatest-cnn-of-all-time", "kernel_id": "13571009"}, {"ref": "gufangyi/dogs-and-cats-classification-using-resnet50", "kernel_id": "13562555"}, {"ref": "geraldk/cats-vs-dogs-convnet", "kernel_id": "14309387"}, {"ref": "derrickmwiti/cats-and-dogs", "kernel_id": "14345025"}, {"ref": "rochittt/cat-vs-dog-rj", "kernel_id": "14277635"}, {"ref": "rahulkumarp/dog-vs-cats", "kernel_id": "14662414"}, {"ref": "imabhilash/dogsvscatsimageclassification", "kernel_id": "14271486"}, {"ref": "avc0706/pytorch-resnext50-32x4d-kfold-lr-scheduler", "kernel_id": "14200336"}, {"ref": "slothfulwave612/pytorch-dogs-and-cats-classifier", "kernel_id": "14616817"}, {"ref": "archisha26/cats-v-s-dogs-image-classification", "kernel_id": "14559908"}, {"ref": "kouwis/catsvsdogs-cnn", "kernel_id": "14186975"}, {"ref": "mathlasker/dog-vs-cats", "kernel_id": "14198413"}, {"ref": "ztaihong/alexnet-dogs-vs-cats", "kernel_id": "14573563"}, {"ref": "sinchubhat/pytorch-transfer-learning-dog-v-s-cat", "kernel_id": "14110024"}, {"ref": "engwajidali/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "14760394"}, {"ref": "nikhilmishra21/cats-vs-dogs-xception", "kernel_id": "14813120"}, {"ref": "amalabdallah/catvsdog-tl", "kernel_id": "14310751"}, {"ref": "ashrafkhan94/image-classification-model-vs-transfer-learning", "kernel_id": "14790757"}, {"ref": "aellatif/cat-vs-dog-rj", "kernel_id": "14455926"}, {"ref": "mouradmiled/dog-vs-cat-prediction", "kernel_id": "14497906"}, {"ref": "banggeonwoo/notebook01e4f1ac25", "kernel_id": "14438279"}, {"ref": "riteshpatil8998/top-7-dogs-vs-cats", "kernel_id": "14393449"}, {"ref": "kundankumarmandal/dog-vs-cat-classification", "kernel_id": "14856461"}, {"ref": "nguynvnphong/predict-dog-vs-cats-with-cnn", "kernel_id": "14618946"}, {"ref": "akshitmehra2000/notebook14af9c99b7", "kernel_id": "14185892"}, {"ref": "seon22/use-vgg-over-90-val-acc", "kernel_id": "14162497"}, {"ref": "qinxfeng/tensorflow", "kernel_id": "14118546"}, {"ref": "sayannath2350/dogs-and-cats", "kernel_id": "14214890"}, {"ref": "condados/my-cnn-for-dog-vs-cats", "kernel_id": "14740013"}, {"ref": "gianghus/pytorch-efficientb5-98", "kernel_id": "14158287"}, {"ref": "harshmalviya27/predicting-outputs", "kernel_id": "14373533"}, {"ref": "madhu472/cats-dogs", "kernel_id": "15609879"}, {"ref": "remmy27/classifying-cats-and-dogs-with-tensorflow-cnns", "kernel_id": "15262959"}, {"ref": "yoonoeeo/0317-conv-draft", "kernel_id": "15418680"}, {"ref": "poipii/pytorch-baseline-dog-vs-cat", "kernel_id": "15230112"}, {"ref": "jasgiu/dogs-cats-dataset", "kernel_id": "15195095"}, {"ref": "arunaakula/cat-vs-dog-cnn-dl", "kernel_id": "15495634"}, {"ref": "arunaakula/cat-vs-dog-cnn", "kernel_id": "15486337"}, {"ref": "duttasd28/cat-v-s-dog", "kernel_id": "15175103"}, {"ref": "rafayelmkrtchyan/dogsvscats", "kernel_id": "15594097"}, {"ref": "a7madmostafa/cats-vs-dogs-classifier", "kernel_id": "15343488"}, {"ref": "dikshanegi2000/cats-vs-dogs-classifier", "kernel_id": "15356241"}, {"ref": "anirudhchandnani/dogs-vs-cats-without-imagedatagenerator", "kernel_id": "15884961"}, {"ref": "kartik2khandelwal/beginner-s-implementation-of-deep-learning", "kernel_id": "15106718"}, {"ref": "gastonbertolani/notebooke5adce32aa-4bb8bf", "kernel_id": "15543753"}, {"ref": "antoreepjana/quick-ml-test-tfrecords-making-cats-dogs", "kernel_id": "15053767"}, {"ref": "theelectronwill/challenge-kaggle-asdia-ensimag", "kernel_id": "15237637"}, {"ref": "namodayabalaarachchi/dogs-vs-cats", "kernel_id": "15273804"}, {"ref": "sergeybashkov/pytorch-baseline-dog-vs-cat", "kernel_id": "15649984"}, {"ref": "amiruladlil/cats-vs-dogs-classifier-using-neural-network", "kernel_id": "15737694"}, {"ref": "sandeepbhogaraju/cnn-binary-classifier", "kernel_id": "16284748"}, {"ref": "vijendersingh412/cnn-cat-vs-dog-tensorflow", "kernel_id": "16829140"}, {"ref": "lakshyauttrani/deepnnclassifier", "kernel_id": "16774159"}, {"ref": "agggshambhavi/pytorch-transfer-learning", "kernel_id": "16956211"}, {"ref": "agggshambhavi/dogs-vs-cats", "kernel_id": "16937437"}, {"ref": "milanbhadja/cnn-cat-and-dog-classification", "kernel_id": "16522269"}, {"ref": "thomazpom/thomapom-keras-image-classification", "kernel_id": "16610199"}, {"ref": "pythonssh/cat-dog-classification-using-tf", "kernel_id": "16967210"}, {"ref": "walras/cat-and-dogs-recognition", "kernel_id": "16105650"}, {"ref": "empireblaster/statistical-approach", "kernel_id": "16766298"}, {"ref": "gurujaing/dog-vs-cat", "kernel_id": "16759459"}, {"ref": "ahmadmustafa12/cat-vs-dog-cnn-dl", "kernel_id": "16356862"}, {"ref": "preetisingla/dog-cat-classifier-neural-network", "kernel_id": "16006130"}, {"ref": "annisayaningprestiwi/dog-vs-cat-classification-using-cnn", "kernel_id": "16318088"}, {"ref": "karimshertaev/final", "kernel_id": "16300178"}, {"ref": "tigaxmt/dogs-vs-cats", "kernel_id": "16086046"}, {"ref": "carl0013/lex0013-catsvsdogs-cnn", "kernel_id": "16998970"}, {"ref": "liyuqing/alexnet-320203288", "kernel_id": "16549489"}, {"ref": "abrahamanderson/dogs-cats-prediction-via-cnns-in-competition", "kernel_id": "16833298"}, {"ref": "bargavjagatha/dogs-vs-cats-using-both-vgg16-and-my-own-model", "kernel_id": "16447372"}, {"ref": "krishnannavadia/cat-vs-dogs", "kernel_id": "16251683"}, {"ref": "abdelrahmanzied/dogs-vs-cats-binary-classification-using-cnn-93", "kernel_id": "16154113"}, {"ref": "lamphattai/mango-leaf-classification", "kernel_id": "16297692"}, {"ref": "yasarcanclngr/yapay-zeka-d-nem-devi", "kernel_id": "16594272"}, {"ref": "astonlyc/python-ml-1st", "kernel_id": "16053676"}, {"ref": "ismailrana/ismail-dog-vs-cats", "kernel_id": "16587239"}, {"ref": "debriv/visualization-of-convnet-s-learning", "kernel_id": "16612434"}, {"ref": "debriv/working-with-small-dataset-using-convnet", "kernel_id": "16528373"}, {"ref": "viktorbulatov/bulatov-singularis-lab", "kernel_id": "16658599"}, {"ref": "meldo8/dogs-vs-cats", "kernel_id": "16477816"}, {"ref": "linaxjau/alexnet", "kernel_id": "16990117"}, {"ref": "nuru91/cat-vs-dog", "kernel_id": "16364417"}, {"ref": "yangdh/alexnet-dogs-vs-cats", "kernel_id": "16552232"}, {"ref": "tebohosamuelnteso/ds-420-project", "kernel_id": "16770031"}, {"ref": "sravyaysk/cnn-to-classify-cats-and-dogs", "kernel_id": "17707249"}, {"ref": "pkarthik15/dogs-vs-cats-using-fast-ai", "kernel_id": "17860776"}, {"ref": "hiromasatabuchi/dogs-and-cats-efficientnet-vs-my-own-model", "kernel_id": "17245152"}, {"ref": "ankit85jain/catordog-using-yolo", "kernel_id": "17377919"}, {"ref": "bhuvanchennoju/hey-siri-is-it-a-or-class-f1-0-992", "kernel_id": "17184735"}, {"ref": "hankarmostafa/image-classification-with-resnet50", "kernel_id": "17314505"}, {"ref": "joaovictorspadao/cats-vs-dogs-tensorflow", "kernel_id": "17879615"}, {"ref": "subhanjanbasu/dogs-cats-classifier-using-vgg16-and-densenet201", "kernel_id": "17296841"}, {"ref": "jyothiffu/cats-vs-dogs-classifier", "kernel_id": "17979406"}, {"ref": "hemanthhari/transfer-learning-hemanth", "kernel_id": "17104301"}, {"ref": "nitinchoudhary012/cnn-cat-or-dog-classification", "kernel_id": "17684849"}, {"ref": "abhaymudgal/dogs-vs-cats", "kernel_id": "17592803"}, {"ref": "oossiiris/k-means-transfer-learning-for-image-classification", "kernel_id": "17976855"}, {"ref": "jonnyjackk/image-classification-with-cnn-92-42-accuracy", "kernel_id": "17893804"}, {"ref": "negatively/cnn-cat-dog-classification", "kernel_id": "17138868"}, {"ref": "asymortenson/transfer-learning-with-resnet50", "kernel_id": "17853614"}, {"ref": "vyacheslavponomarev/transfer-learning", "kernel_id": "17029803"}, {"ref": "artemygolovnev/vgg16-and-densenet", "kernel_id": "17127922"}, {"ref": "yuliamokroborodova/dogs-vs-cats-team04", "kernel_id": "17552240"}, {"ref": "babymlin/vgg16-transform-dog-vs-cat-98", "kernel_id": "17177213"}, {"ref": "yakovenkodmitry/notebook1be8056198", "kernel_id": "17449067"}, {"ref": "lepeshkinvyacheslav/8-vgg16", "kernel_id": "17330160"}, {"ref": "jinsukuku/dogs-vs-cats-team04", "kernel_id": "17363017"}, {"ref": "geozedo/bit-mini-c-ds-r50-x-inception-rebulid", "kernel_id": "17233893"}, {"ref": "geozedo/bit-mini-c-ds-resnet50-xception-inception", "kernel_id": "17176473"}, {"ref": "aliya0214/alexnet-320182361", "kernel_id": "17039243"}, {"ref": "bobbilibharath/kutha-vs-billi", "kernel_id": "17248435"}, {"ref": "divyanshkanodia11f/notebook9e2805bff2", "kernel_id": "17351417"}, {"ref": "samyakkapoor/cats-vs-dogs-using-cnn-and-keras-90", "kernel_id": "17426710"}, {"ref": "samyakkapoor/cats-vs-dogs", "kernel_id": "17426782"}, {"ref": "user938382/dogs-cats", "kernel_id": "17846236"}, {"ref": "abhisheksrathore/cat-dog-tutorial-asr", "kernel_id": "18074643"}, {"ref": "lilkaskitc/dog-v-cat-deep-learning", "kernel_id": "18777828"}, {"ref": "sahiltinky/nb-i-simple-convnet-using-pytorch", "kernel_id": "18643329"}, {"ref": "momomooo/dog-vs-cat-fastai-so-easy", "kernel_id": "18292582"}, {"ref": "lys620/basic-pytorch-classification", "kernel_id": "18418717"}, {"ref": "tranhuyhoang8352/dog-cat-image-classitications", "kernel_id": "18788261"}, {"ref": "ogulunal/ogul-s-catsvsdogs", "kernel_id": "18280287"}, {"ref": "giabongh/cat-dog-classification", "kernel_id": "18903627"}, {"ref": "razamh/dogs-vs-cats-image-classification-89", "kernel_id": "18318092"}, {"ref": "shelvigarg/classifying-cat-vs-dogs-using-cnn", "kernel_id": "18764014"}, {"ref": "sidharth178/cat-dog-classification-flask-app", "kernel_id": "18330415"}, {"ref": "smita09/dogvscats", "kernel_id": "18126332"}, {"ref": "rtlmhjbn/keras-cnn-dog-or-cat-classification", "kernel_id": "18109025"}, {"ref": "arkadutta007/notebookbae5adb66f", "kernel_id": "18850584"}, {"ref": "zehranrgi/cnn-cats-vs-dogs-95-acc", "kernel_id": "18152400"}, {"ref": "zehranrgi/cnn-cats-vs-dogs-vgg16", "kernel_id": "18693186"}, {"ref": "muhammadelmallahka/binary-classification-using-transfer-learning", "kernel_id": "18723636"}, {"ref": "nilufarhosseini/cat-vs-dogs", "kernel_id": "18275344"}, {"ref": "yuujinleee/dogs-vs-cats-with-vgg16-fine-tuning-92", "kernel_id": "18633241"}, {"ref": "andreasloeffler/catsvsdogs-firsttry", "kernel_id": "18011022"}, {"ref": "salihcanelikel/dog-cat-cnn", "kernel_id": "18856316"}, {"ref": "asaharamasahiro/asahara-cnn", "kernel_id": "18102454"}, {"ref": "hara9032/notebookc12158bac8", "kernel_id": "18140333"}, {"ref": "barkad/cnn-cat-dog-classification", "kernel_id": "18036618"}, {"ref": "thanhdong18891/notebook904a3662aa", "kernel_id": "18880412"}, {"ref": "mikeka/catsvsdogs", "kernel_id": "19942947"}, {"ref": "infrarosso/dogs-vs-cats-tensorflow-transfer-learning", "kernel_id": "19213417"}, {"ref": "mmrrqqhh/dog-cat", "kernel_id": "19201993"}, {"ref": "wangdorjeesherpa/tfrecords-vs-tfdata", "kernel_id": "19810119"}, {"ref": "kokilam/notebook059538333e", "kernel_id": "19939841"}, {"ref": "shrivathsansridhar/dogs-vs-cats", "kernel_id": "19976090"}, {"ref": "alifashrafee/dog-vs-cat-classification", "kernel_id": "19977150"}, {"ref": "pezhmansamadi/dogvscat-95", "kernel_id": "19836697"}, {"ref": "jeremiahchinyelugo/dogs-vs-cats-image-classification-vanilla-cnn", "kernel_id": "19931473"}, {"ref": "karnaashutosh/cnn-cats-vs-dogs-vgg16", "kernel_id": "19091495"}, {"ref": "srinikethj/dogs-and-cats", "kernel_id": "19824419"}, {"ref": "radha20scse2110004/dogvscat-95-477693", "kernel_id": "19955043"}, {"ref": "mattcs/dogvscats", "kernel_id": "19050929"}, {"ref": "phuc16102001/dogs-vs-cats-vgg-style", "kernel_id": "19880625"}, {"ref": "nguynngcphnganh/heheee", "kernel_id": "19973935"}, {"ref": "vrenganathan/dog-cats-90-accuracy-with-cnn-image-aug", "kernel_id": "20925308"}, {"ref": "aayushkubba/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "20476908"}, {"ref": "aayushkubba/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "20476928"}, {"ref": "kumasento/dogs-vs-cats", "kernel_id": "20935200"}, {"ref": "dangquana4/sample-dataloader-pretrained-model", "kernel_id": "20929297"}, {"ref": "rohanpatnaik/image-classification-using-svm-in-cnn-dogs-vs-cat", "kernel_id": "20916954"}, {"ref": "siddharthm1698/keras-cnn-dog-or-cat-classification", "kernel_id": "20498020"}, {"ref": "ahmedsheded/dogs-vs-cats", "kernel_id": "20247582"}, {"ref": "truongson1209/dog-cat-solution-aio", "kernel_id": "20077571"}, {"ref": "ehabibrahim758/dogs-vs-cats-classification-using-keras", "kernel_id": "20710940"}, {"ref": "ekoputrawahyuddin/learn-cnn-keras", "kernel_id": "20172279"}, {"ref": "benyaminghahremani/dog-vs-cat-classification-cnn", "kernel_id": "20105380"}, {"ref": "ozanetin/dogsvscats", "kernel_id": "20399497"}, {"ref": "waelkhemakhem/dog-vs-cat-classification-with-cnn", "kernel_id": "20951287"}, {"ref": "sheepb/basic-keras-api-predict-cat-dog", "kernel_id": "20241248"}, {"ref": "yavuzselimkaraman/dogs-vs-cats", "kernel_id": "20028090"}, {"ref": "federicocaretti/gan-dogs-cats-try", "kernel_id": "20216253"}, {"ref": "gopalbhattrai/dogvscat-cnn-tensorflow-keras-generator-augment", "kernel_id": "20186651"}, {"ref": "hugolearn/dog-cat-classifier", "kernel_id": "20791260"}, {"ref": "ammarabbasi1040/cats-vs-dogs", "kernel_id": "20932876"}, {"ref": "regulusbai/dogs-vs-cats-based-on-pytorch-with-vgg16", "kernel_id": "20338213"}, {"ref": "saidaka/akca1996", "kernel_id": "20490538"}, {"ref": "tquntv/19127392-19127525-19127625", "kernel_id": "20011702"}, {"ref": "nguynngcphnganh/image-classification-42-78-97", "kernel_id": "20016642"}, {"ref": "tuanpa95/notebook2496bf8cb5", "kernel_id": "20299655"}, {"ref": "jakeush/image-classification-using-svm-in-cnn-dogs-vs-cat", "kernel_id": "20920521"}, {"ref": "yash02000/dogs-vs-cats-classification-using-keras", "kernel_id": "20921814"}, {"ref": "davidsilvaalexandre/questao2", "kernel_id": "20689598"}, {"ref": "dhurky/cat-vs-dog", "kernel_id": "21287828"}, {"ref": "ggsri123/p1-dogsvscats-using-tensorflow", "kernel_id": "21840913"}, {"ref": "minesh3262/cat-dog", "kernel_id": "21042159"}, {"ref": "sashalob/h4-lobanov", "kernel_id": "21621010"}, {"ref": "tianbaojie/ucas-nlp-homework1-cnn", "kernel_id": "21308866"}, {"ref": "tianbaojie/ucas-nlp-homework1-rnn", "kernel_id": "21320396"}, {"ref": "tianbaojie/ucas-nlp-homework1-dnn", "kernel_id": "21323694"}, {"ref": "muhammadusmansaeed/transfer-learning-dogs-vs-cats-98-acc", "kernel_id": "21931696"}, {"ref": "stepanmartyanov/ml2task1", "kernel_id": "21489764"}, {"ref": "oglangelo/dogs-vs-cats-2021-1020-1", "kernel_id": "21362833"}, {"ref": "aminesnoussi/cats-vs-dogs-with-cnn-keras", "kernel_id": "21737694"}, {"ref": "imcr00z/intro-to-cnn-augmentation-dropout", "kernel_id": "21711142"}, {"ref": "imcr00z/intro-to-cnn-dogs-vs-cats", "kernel_id": "21699486"}, {"ref": "imcr00z/transfer-learning-dogs-vs-cats-98-acc", "kernel_id": "21732929"}, {"ref": "raghadsayed/dogs-vs-cats-with-lr", "kernel_id": "21621611"}, {"ref": "banot233/dog-vs-cat-classification-cnn", "kernel_id": "21635532"}, {"ref": "mahmoudosama122978/cat-dogs-mahmoudosama-val-accuary-98-5", "kernel_id": "21827168"}, {"ref": "junggeun/dogsandcats", "kernel_id": "21984277"}, {"ref": "ggsri123/p2-dogs-vs-cats-using-cnn-augmentations-tl", "kernel_id": "22348707"}, {"ref": "sdysch/cats-vs-dogs", "kernel_id": "22884485"}, {"ref": "mustafacicek/dogs-cats-vgg16-implementation-transfer-learning", "kernel_id": "22083492"}, {"ref": "mohamedmostafa335/dog-vs-cat-trial", "kernel_id": "22541655"}, {"ref": "shrouksalemsaba/notebook9d3b3da4df", "kernel_id": "22865990"}, {"ref": "joelmathewcherian/vision-transformers", "kernel_id": "22716063"}, {"ref": "milachadayammuri/dogsvscats", "kernel_id": "22202655"}, {"ref": "ahmedayman6/cats-vs-dogs-svm-classification", "kernel_id": "22864191"}, {"ref": "yahiamohamed/cats-vs-dogs", "kernel_id": "22865856"}, {"ref": "bargavjagatha/dvcv1-bargav", "kernel_id": "22321895"}, {"ref": "b1qkoa/dvc-stend", "kernel_id": "22745113"}, {"ref": "danielvalyano/94-acc-cnn-dogsvscats-no-tranfer-learning", "kernel_id": "22245659"}, {"ref": "chngyuanlongrandy/cnn-with-transfer-learning", "kernel_id": "22229318"}, {"ref": "kokyongteo/dogs-vs-cats", "kernel_id": "22804797"}, {"ref": "jaipawar/cats-vs-dogs", "kernel_id": "22744627"}, {"ref": "sujankumars/catsanddogs", "kernel_id": "22080520"}, {"ref": "hoaithuong1903/cnn-dog-cat-classification", "kernel_id": "22295249"}, {"ref": "yasmiinkhaled/cats-vs-dog-ml-assignment", "kernel_id": "22864201"}, {"ref": "davidhacker123/animal-classification-using-cnn", "kernel_id": "22781967"}, {"ref": "denisdudakov/dudakovcatvsdog", "kernel_id": "22212851"}, {"ref": "soloninaelena/notebooke758d1431e", "kernel_id": "22357738"}, {"ref": "matyukhingeorge/notebooke8ca27c71b", "kernel_id": "22362348"}, {"ref": "iliabadekin/notebooksmalldvsc", "kernel_id": "22469718"}, {"ref": "pkonstantinr/notebook", "kernel_id": "22485072"}, {"ref": "ankitchahal1/transfer-learning-inception", "kernel_id": "22163939"}, {"ref": "andy8744/dogs-vs-cats-beginner-cnn-with-augmentation", "kernel_id": "23621933"}, {"ref": "aijrvae/image-classification-using-vgg16", "kernel_id": "23888747"}, {"ref": "george267/dogs-vs-cats-cnn", "kernel_id": "23454003"}, {"ref": "jiyeongyim/final-2", "kernel_id": "23986290"}, {"ref": "meetnagadia/cats-vs-dogs-classification", "kernel_id": "23784234"}, {"ref": "concaption/acc-89-no-transfer-learning-dogs-vs-cats", "kernel_id": "23803186"}, {"ref": "default404/dogvcatori", "kernel_id": "23668565"}, {"ref": "kalelpark/compare-albumentations-and-imagedatagenerator", "kernel_id": "23713473"}, {"ref": "sameeramin/classifying-cats-and-dogs-with-vgg16", "kernel_id": "23404290"}, {"ref": "mareklauman/smap-su-perfect-espresso-recognizer", "kernel_id": "23271692"}, {"ref": "anastasiiakleim/cats-vs-dogs", "kernel_id": "23695090"}, {"ref": "kohjiaruichs/ion-intel-ai-for-youth-where-is-jeriel", "kernel_id": "23691510"}, {"ref": "raghavrastogi75/vs-pytorch-basic-cnn-vs-vgg16", "kernel_id": "24955870"}, {"ref": "defcodeking/dogs-vs-cats-vs-pytorch-training-a-cnn-model", "kernel_id": "24933726"}, {"ref": "marwa96/notebook06a1800f15", "kernel_id": "24756511"}, {"ref": "taldanko/pytorch-cats-vs-dogs-cnn", "kernel_id": "24614519"}, {"ref": "ranjii/rk-dog-vs-cat-01", "kernel_id": "24115817"}, {"ref": "kcy0206/final-cnn-study", "kernel_id": "24013652"}, {"ref": "kyledampier/ml-monday-week-4", "kernel_id": "24108676"}, {"ref": "salamullah/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "24590616"}, {"ref": "amakis/cat-vs-dog", "kernel_id": "24816003"}, {"ref": "widhiwinata/feature-map-cnn", "kernel_id": "24047005"}, {"ref": "shunsukeozeki/dogs-basic-dcgan-tutorial-with-pytorch", "kernel_id": "24692423"}, {"ref": "kirtichauhan11/dog-or-cat-let-s-see", "kernel_id": "24209708"}, {"ref": "felixnovando/uas-comvis-3", "kernel_id": "24568539"}, {"ref": "nersesaghababyan/cat-vs-dog-1", "kernel_id": "24095052"}, {"ref": "erikmanukyan/cats-and-dogs", "kernel_id": "24093133"}, {"ref": "polinanazarova/keras-cnn-msk-sights-classification", "kernel_id": "24489445"}, {"ref": "edgardjonathan/comvis-3", "kernel_id": "24456004"}, {"ref": "edgardjonathan/comvis-4", "kernel_id": "24529513"}, {"ref": "halimkevin/uas-cv-no-4", "kernel_id": "24538592"}, {"ref": "halimkevin/uas-cv-no-3", "kernel_id": "24477202"}, {"ref": "abdallamahmoudamin/cats-vs-dogs-using-vgg", "kernel_id": "24220404"}, {"ref": "maxitype/5-95-cnn-no-transfer-learning-beginner", "kernel_id": "24246874"}, {"ref": "emrhn1031/cnn-guide-from-start-to-finish-all-in-one", "kernel_id": "24002023"}, {"ref": "lifelonglearnerit/dogs-vs-cats-tensorflow-augumented", "kernel_id": "24558270"}, {"ref": "tyagiarjit/dog-cat-classification", "kernel_id": "24818867"}, {"ref": "sankethiyer/catvsdog-simplecnn-val-acc-85", "kernel_id": "24661908"}, {"ref": "joonasyoon/dogs-vs-cats-classification", "kernel_id": "24941976"}, {"ref": "paulamaran/cats-vs-dog-using-imagedatagenerator", "kernel_id": "24728151"}, {"ref": "roy2004/cnn-waste-classification-from-jpg-op-3", "kernel_id": "24065762"}, {"ref": "ahmedgeka/dog-vs-cat-get-ready", "kernel_id": "24964078"}, {"ref": "kishanchaurasiya75/cat-vs-dog", "kernel_id": "24208138"}, {"ref": "ravjotsandhu/cats-vs-dogs", "kernel_id": "25067097"}, {"ref": "ivanshingel/cnn-for-beginners-complete-guide", "kernel_id": "25997691"}, {"ref": "dandwvs/dogs-vs-cats-inception-v3", "kernel_id": "25839412"}, {"ref": "dandwvs/dogs-vs-cats-cnn", "kernel_id": "25912096"}, {"ref": "kokyongteo/dogs-vs-cats-base-model-vs-vgg16", "kernel_id": "25794285"}, {"ref": "tryingtraining/cats-vs-dogs-get-ready-for-the-next-battle-battle", "kernel_id": "25901318"}, {"ref": "dmitirycherezov/chollet-c-5-3-2", "kernel_id": "25772210"}, {"ref": "hebaatef/dogs-vs-cats-classification-using-keras-cnn", "kernel_id": "25458830"}, {"ref": "zjay666/final-2", "kernel_id": "25942104"}, {"ref": "vishma/notebook-gan-cat-dog", "kernel_id": "26757417"}, {"ref": "naubergois/dogs-and-cats-cnn", "kernel_id": "26006801"}, {"ref": "rortegao/cats-vs-dogs", "kernel_id": "26923122"}, {"ref": "houssemayed/demo-cnn", "kernel_id": "26132395"}, {"ref": "nextroot/cats-and-dogs-pytorch-resnet", "kernel_id": "26567534"}, {"ref": "dentistdad/how-the-hell-do-tensorflow-records-work", "kernel_id": "26247417"}, {"ref": "sikanderhayat33/cats-and-dogs", "kernel_id": "26075951"}, {"ref": "mohsennaderali/convolutional-nn-for-cat-vs-dog-competion", "kernel_id": "26024398"}, {"ref": "saumandas/cats-vs-dog", "kernel_id": "26749621"}, {"ref": "saumandas/mnist-cnn", "kernel_id": "26771177"}, {"ref": "mahmoudabdullah821/3-tf-data-data-augmentation-with-tensorflow", "kernel_id": "26997572"}, {"ref": "hemasowjanyamamidi/dogs-vs-cats", "kernel_id": "26625474"}, {"ref": "helgesander/catdog-pytorch", "kernel_id": "26796679"}, {"ref": "hywnhanna/keras-model-test", "kernel_id": "26979588"}, {"ref": "liuyixi/dogs-vs-cats-pre-train2", "kernel_id": "26252936"}, {"ref": "liuyixi/dogs-vs-cats-fine-tuning", "kernel_id": "26263614"}, {"ref": "liuyixi/dogs-vs-cats-pre-train", "kernel_id": "26227591"}, {"ref": "shoroouqalshal/mobilenet-v2-for-cats-and-dogs-classification", "kernel_id": "26865898"}, {"ref": "ahmedmohamed11/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "26478496"}, {"ref": "mkamadeus/cats-vs-dogs-maas", "kernel_id": "26675299"}, {"ref": "wasdac/dogs-vs-cats-transfer-learning", "kernel_id": "26666222"}, {"ref": "wasdac/dogs-vs-cats", "kernel_id": "26269361"}, {"ref": "midojr/dogs-vs-cats-with-cnn", "kernel_id": "26055284"}, {"ref": "midojr/transfer-learning-with-mobilenetv2", "kernel_id": "26374259"}, {"ref": "swarpatel1/dogs-vs-cats-base-model-vs-vgg16-b93985", "kernel_id": "26101279"}, {"ref": "alexisbcook/keras-cnn-dog-or-cat-classification", "kernel_id": "27972810"}, {"ref": "jacky95090/cat-dag-with-cnn", "kernel_id": "27224146"}, {"ref": "abdulbasitniazi/vs-how-cnn-works-eda", "kernel_id": "27772323"}, {"ref": "vincentisbear123/cat-dag-with-cnn", "kernel_id": "27392815"}, {"ref": "pythonkumar/a-z-cnn-tutorial-cats-vs-dogs", "kernel_id": "27234984"}, {"ref": "thisissepehr/catsvsdogs", "kernel_id": "27394878"}, {"ref": "yorichi/galamat-sadr-bd-2001-bonus", "kernel_id": "27106464"}, {"ref": "nenriki/classification-of-images-containing-a-dog-or-cat", "kernel_id": "27119894"}, {"ref": "ryujungsoo/cat-vs-dog-cnn", "kernel_id": "27038465"}, {"ref": "ryujungsoo/it-rainning-cat-and-dog-cnn", "kernel_id": "27095995"}, {"ref": "pramodgoyal/dogs-vs-cats-my-take", "kernel_id": "27311706"}, {"ref": "junguchan/cat-dag-with-cnn", "kernel_id": "27094805"}, {"ref": "mansursharipbek/mansur-sharipbek-and-sultanbek-kosher", "kernel_id": "27114145"}, {"ref": "archiearya/notebook96b86b4161", "kernel_id": "27592498"}, {"ref": "leeyongbin/it-rainning-cat-and-dog-cnn", "kernel_id": "27079593"}, {"ref": "kimdobby/dogs-vs-cats-with-cnn", "kernel_id": "27085111"}, {"ref": "mabuu1/cat-dog-classification", "kernel_id": "27024606"}, {"ref": "mohamedalisalama/cat-and-dog-classfication-svm", "kernel_id": "27217782"}, {"ref": "islamzaki/keras-cnn-dog-or-cat-classification", "kernel_id": "27301345"}, {"ref": "luizalvesferreira/projetoprocimagens", "kernel_id": "27784618"}, {"ref": "satya2343/cat-dog", "kernel_id": "28318795"}, {"ref": "aayushsaxena0811/dog-vs-cat-cnn", "kernel_id": "28638821"}, {"ref": "kartkaggle/notebookf47384be46", "kernel_id": "28581840"}, {"ref": "cassandraclare/dogs-cats-vgg16-implementation-transfer-learning", "kernel_id": "28797144"}, {"ref": "vikalptripathi/cnn-model-aditya", "kernel_id": "28427236"}, {"ref": "tomomatsutoyohiko/dog-vs-cat", "kernel_id": "28738663"}, {"ref": "ikbalkrdl/cat-dog-clasification", "kernel_id": "28358908"}, {"ref": "novaterra/dog-vs-cats-vgg16", "kernel_id": "28627686"}, {"ref": "jamijubaer/dogs-vs-cats", "kernel_id": "28895085"}, {"ref": "karenngala/com426-modelling", "kernel_id": "28858173"}, {"ref": "krishnakumarpandit/notebookdc40af1c42", "kernel_id": "29731911"}, {"ref": "kagglebenb/jankos-stats", "kernel_id": "29497051"}, {"ref": "zainularfeen/catsvsdogs", "kernel_id": "29078779"}, {"ref": "durgancegaur/what-happens-inside-cnn-visualizing-the-unknown", "kernel_id": "29474514"}, {"ref": "franklinosei/keras-cnn-dog-or-cat-classification", "kernel_id": "29258077"}, {"ref": "ahmedtarek26/cats-vs-dogs-cnn-model", "kernel_id": "29991805"}, {"ref": "shellyleal/dogs-vs-cats-cnn-practice", "kernel_id": "29769538"}, {"ref": "angpang/dog-vs-cat-pytorch-resnet18-99-8", "kernel_id": "29500399"}, {"ref": "tylerpoore/dogs-vs-cats", "kernel_id": "29159406"}, {"ref": "guedrioussema/dogs-vs-cats-accuracy-98-86-val-acc-78-86", "kernel_id": "29177035"}, {"ref": "nirmit19/cats-vs-dogs-vgg-19", "kernel_id": "29820640"}, {"ref": "azi192012/dog-vs-cat-pytorch-resnet18-99-8", "kernel_id": "29086853"}, {"ref": "saritrath/cats-vs-dogs-vgg-16", "kernel_id": "29376858"}, {"ref": "saritrath/catsvsdogs-resnet50", "kernel_id": "29795164"}, {"ref": "ikbalkrdl/cats-vs-dogs-classifier-2", "kernel_id": "29852191"}, {"ref": "drrajkulkarni/cats-vs-dogs-90-val-accuracy", "kernel_id": "29382099"}, {"ref": "cgd16cgd/cat-and-dog-reload", "kernel_id": "29821642"}, {"ref": "limonhalder/dog-vs-cat-using-keras-cnn-vs-vgg16", "kernel_id": "29077827"}, {"ref": "sunghoshim/dl4cv-pb-study-10-extracting-features-resnet", "kernel_id": "29572224"}, {"ref": "anandvijayakumar/cats-vs-dogs-day-3-cnn", "kernel_id": "29729558"}, {"ref": "sunnyjoshi1401/cnn-dropout-batch-norm-validation-acc-83-7", "kernel_id": "29391848"}, {"ref": "jvkchaitanya410/cats-vs-dogs-conv2d", "kernel_id": "29751320"}, {"ref": "huangbohua/catdogclassification", "kernel_id": "29085143"}, {"ref": "cristyioan2000/cats-dogs-pytorch", "kernel_id": "30933440"}, {"ref": "skhalili/cat-vs-dog2", "kernel_id": "30090409"}, {"ref": "rohitgadhwar/image-classification-using-cnn-transfer-learning", "kernel_id": "30411323"}, {"ref": "arisharma/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "30713040"}, {"ref": "karanpathak15/cats-vs-dogs-pytorch-neural-network-from-scratch", "kernel_id": "30318622"}, {"ref": "turusanasak/cats-and-dogs", "kernel_id": "30394381"}, {"ref": "leznupar/dogs-vs-cat-ai-club", "kernel_id": "30285383"}, {"ref": "ahmedtaha8889/cat-ddog-classificaitonfastai", "kernel_id": "30058551"}, {"ref": "khaledelbhnasy/image-classification", "kernel_id": "30151605"}, {"ref": "syedsulaimaan/cnn-dogs-cats-classification-preprocessing-tools", "kernel_id": "30802796"}, {"ref": "drrajkulkarni/cats-dogs-convnet-pytorch", "kernel_id": "30784551"}, {"ref": "drrajkulkarni/cats-vs-dogs-pytorch-transfer-learning", "kernel_id": "30654016"}, {"ref": "lemusa96/t2-dl2-alejandrolemus", "kernel_id": "30692125"}, {"ref": "abdelrhamanfakhry/cnn-dogs-cats-classification-preprocessing-tools", "kernel_id": "30269848"}, {"ref": "priyanshusahu23/dogs-vs-cats", "kernel_id": "30430044"}, {"ref": "abdulaminafridi/cat-vs-dog", "kernel_id": "30850159"}, {"ref": "giovannilpez9808/t2-dl2-alejandrolemus", "kernel_id": "30909276"}, {"ref": "juanprida/alexnet-implementation-from-scratch", "kernel_id": "31362252"}, {"ref": "mb16biswas/binary-classification-with-diff-loss-functions", "kernel_id": "31055771"}, {"ref": "shafiqueurrehman/dogs-vs-cats", "kernel_id": "31281214"}, {"ref": "pradhumnaguruprasad/dogs-vs-cats", "kernel_id": "31833040"}, {"ref": "ilyaevstifeev/notebookd23d9420ca", "kernel_id": "31071283"}, {"ref": "konstantynstats/dogs-vs-cats", "kernel_id": "31630556"}, {"ref": "zheedong/cat-dog-pytorch", "kernel_id": "31659427"}, {"ref": "raniahossamelbadry/image-classification-using-svm", "kernel_id": "31709364"}, {"ref": "ktbrand/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "31001272"}, {"ref": "sohida/image-preprocessing", "kernel_id": "31559409"}, {"ref": "shahbazbaig1/dogs-vs-cats", "kernel_id": "31350283"}, {"ref": "mohammadamiri1/c1-dogsvscats", "kernel_id": "31072677"}, {"ref": "omkarcgode/cats-vs-dogs-image-classification-pytorch-cnn", "kernel_id": "31377333"}, {"ref": "khnhbigia/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "31417901"}, {"ref": "zacharylabossiere1/dogs-vs-cats-keras-solution", "kernel_id": "31648493"}, {"ref": "benfaraji/cat-dog-tf-inception", "kernel_id": "32981936"}, {"ref": "benfaraji/cnn-cat-dog", "kernel_id": "32888930"}, {"ref": "saranshgoswami/notebookebb7ac07d3", "kernel_id": "32953869"}, {"ref": "ssarkar445/catdog-kfold-pytorch-resnet-ensamble", "kernel_id": "32185799"}, {"ref": "pratikshitsingh/notebookebb7ac07d3-3de8c9", "kernel_id": "32955878"}, {"ref": "pratikshitsingh/transfer-learning-cats-vs-dogs", "kernel_id": "32867507"}, {"ref": "arti1117/dogs-vs-cats", "kernel_id": "32108426"}, {"ref": "prashantpathak244/cat-dog-prediction-resnet-97-accuracy", "kernel_id": "32515969"}, {"ref": "liuyifei123/easy-cnn-for-binary-classification", "kernel_id": "32153099"}, {"ref": "mahmoudsaeed01/cats-vs-dogs-with-data-augmentation-vgg", "kernel_id": "32809578"}, {"ref": "raj401/without-cutmix", "kernel_id": "32139252"}, {"ref": "raj401/with-cutmix", "kernel_id": "32137300"}, {"ref": "tejaswi1317/dog-vs-cat-image-classification", "kernel_id": "32871222"}, {"ref": "manuelnkegoum/deep-learning", "kernel_id": "32388079"}, {"ref": "mohammedhassan11/dogs-and-cats-classification-by-using-cnn", "kernel_id": "32833716"}, {"ref": "brunosoaresdossantos/imagens-com-redes-neurais-cachorro-ou-gato", "kernel_id": "32435595"}, {"ref": "omarreess/animals-images-detection-cnn", "kernel_id": "32283281"}, {"ref": "linjintao/dogcat1", "kernel_id": "32946910"}, {"ref": "amauryvinel/dog-or-cat-convolution", "kernel_id": "32135760"}, {"ref": "farjanakabirsamanta/brain-tumor-mri-classification", "kernel_id": "32579054"}, {"ref": "rabbi2k3/dogs-vs-cats-classification-resnet50-and-pytorch", "kernel_id": "32467618"}, {"ref": "jurk06/resnet-implementation-cnn", "kernel_id": "33660655"}, {"ref": "shindeshubham85/a-friendly-introduction-to-cnns-in-keras", "kernel_id": "33329594"}, {"ref": "jrreda/intro-to-cnns-with-keras-vs", "kernel_id": "33457124"}, {"ref": "kulkarniadi/image-classification-catvsdog", "kernel_id": "33413557"}, {"ref": "nadavyakar/cnn-categorizer", "kernel_id": "33242805"}, {"ref": "iamleonie/intro-to-mlops-experiment-tracking", "kernel_id": "33160974"}, {"ref": "mb16biswas/ensemble-of-cnn-models-from-diff-loss-functions", "kernel_id": "33152875"}, {"ref": "ebrumaytalman/cats-vs-dogs-with-cnn-resnet152v2-shutil", "kernel_id": "33554614"}, {"ref": "erfannaseritaheri/cat-vs-dog", "kernel_id": "33801215"}, {"ref": "davidramirezparada/tarea-06-aprendizaje-de-m-quina", "kernel_id": "33156436"}, {"ref": "shengcanjiang/dogs-vs-cats", "kernel_id": "33413971"}, {"ref": "phuonglumi/mobilenet-v2-for-cats-and-dogs-classification", "kernel_id": "33236664"}, {"ref": "phuonglumi/cats-vs-dogs-vgg-16", "kernel_id": "33236666"}, {"ref": "phuonglumi/cat-dog-prediction-resnet-97-accuracy", "kernel_id": "33234860"}, {"ref": "sagarlokesh/dog-cat-classification-cnn", "kernel_id": "33712010"}, {"ref": "arcane96/dogs-v-cats", "kernel_id": "34946804"}, {"ref": "kasikrit/keras-cnn-dog-or-cat-classification", "kernel_id": "34605299"}, {"ref": "megalino111/keras-cnn-dog-or-cat-classification", "kernel_id": "34625544"}, {"ref": "dzniel/bag-of-visual-words-and-k-nearest-neighbors", "kernel_id": "34364109"}, {"ref": "hamdi619/catsvsdogs-torch", "kernel_id": "34006129"}, {"ref": "angelachristabel/cats-vs-dogs-classification-with-visual-bow-knn", "kernel_id": "34428606"}, {"ref": "hye0n0/keras-cnn-dog-or-cat-classification", "kernel_id": "34288486"}, {"ref": "suraj520/mobilenet-v2-98-9-acc-know-train-infer", "kernel_id": "34244276"}, {"ref": "kattat/dogs-vs-cats-image-classification-with-cnn", "kernel_id": "34875060"}, {"ref": "bananayellow/2440011955-czar-kevin-sanjaya-soecahyo-quiz-2", "kernel_id": "34288598"}, {"ref": "cherylalmeira/comvisquizno1", "kernel_id": "34370776"}, {"ref": "stevendaniely/quiz-comvis1", "kernel_id": "34465062"}, {"ref": "stevendaniely/quiz-comvis", "kernel_id": "34464008"}, {"ref": "sofiekimberly/dog-vs-cat-classifier", "kernel_id": "34451130"}, {"ref": "mohammadahmaddata/dogs-vs-cats", "kernel_id": "34315187"}, {"ref": "abhishekarya173/notebook0325a32cc8", "kernel_id": "34150578"}, {"ref": "abhishekarya173/notebookfcd3c6e812", "kernel_id": "34165606"}, {"ref": "immanuelirvin/dogsvscats", "kernel_id": "34112261"}, {"ref": "michaeldsetiawan/kelompok-12-quiz-no-1-felix-nicholas-michael", "kernel_id": "34364827"}, {"ref": "jakubpatrykadamczyk/cat-vs-dog", "kernel_id": "34325964"}, {"ref": "jakubpatrykadamczyk/dogs-vs-cat-part2", "kernel_id": "34654814"}, {"ref": "mikesukami/dog-vs-cats-bypatiparn", "kernel_id": "34715014"}, {"ref": "nattapotareesukz/6510210468-nattapot-keras-cnn-dog-or-cat", "kernel_id": "34744566"}, {"ref": "nasserlohketsuwan/nasser-keras-cnn-dog-or-cat-classification", "kernel_id": "34974433"}, {"ref": "jeeraphongseasim/keras-cnn-dog-or-cat-classification-292197", "kernel_id": "34938353"}, {"ref": "ahpoomaiya/panuwat-buapetch-552-dog-or-cat-classification", "kernel_id": "34873016"}, {"ref": "sukritsaeliao/6510210592-keras-cnn-dog-or-cat-classification", "kernel_id": "34907037"}, {"ref": "asmaneeabudolae/keras-cnn-dog-or-cat-classification", "kernel_id": "34967174"}, {"ref": "thareeyajansiam/keras-cnn-dog-or-cat-classification", "kernel_id": "34975225"}, {"ref": "ckhuang0614/keras-cnn-dog-or-cat-classification", "kernel_id": "35763807"}, {"ref": "zhongyanmin/cat-vs-dog-with-cnn", "kernel_id": "35538193"}, {"ref": "rawalm/identifying-dogs-and-cats-using-covnets", "kernel_id": "35408145"}, {"ref": "yassmenyoussef/cats-vs-dogs-knn-acc-62", "kernel_id": "35748504"}, {"ref": "sondos11khaled/cats-vs-dogs-knn-acc-63-61", "kernel_id": "35924111"}, {"ref": "viveklohani/cats-and-dogs-cnn", "kernel_id": "35150470"}, {"ref": "wepasabyrow/cats-vs-dogs", "kernel_id": "35978767"}, {"ref": "ahmedmostafakhia/knn-cats-vs-dogs", "kernel_id": "35748908"}, {"ref": "frank0614/keras-cnn-dog-or-cat-classification", "kernel_id": "35795008"}, {"ref": "ayushmehar7/feature-extractor-fine-tuning-with-keras-1a6b49", "kernel_id": "36760429"}, {"ref": "jackmars/pytorch-dog-vs-cat-resnet18", "kernel_id": "36832765"}, {"ref": "kwjcndocjn/catsvsdogs-90-accuracy", "kernel_id": "36817061"}, {"ref": "niramay/keras-cnn-dog-or-cat-classification", "kernel_id": "36402973"}, {"ref": "sbiswas2/dogs-vs-cats-image-classification-with-cnn", "kernel_id": "36364743"}, {"ref": "scodepy/dog-v-s-cat-classification", "kernel_id": "36488296"}, {"ref": "vasheshj/notebook7c5054b556", "kernel_id": "36458667"}, {"ref": "pumpkin18/dogs-vs-cats-classification-using-vgg16", "kernel_id": "36172173"}, {"ref": "igortavaresa/cat-s-vs-dog-s-cnn-s", "kernel_id": "36254732"}, {"ref": "aayu19/catsvsdogs", "kernel_id": "36963549"}, {"ref": "benjiwa/risk-reduction-image-classification", "kernel_id": "36084366"}, {"ref": "kiraigo/dog-vs-cat-classification-using-pytorch", "kernel_id": "37254165"}, {"ref": "vfontefontechavez/dogs-vs-cats-image-classification", "kernel_id": "37088386"}, {"ref": "lchooo/my-dogs-vs-cats", "kernel_id": "37455327"}, {"ref": "keerthanas57/dogsvscats", "kernel_id": "37567417"}, {"ref": "ngquangdngb19dccn120/dogs-vs-cats", "kernel_id": "37168959"}, {"ref": "nanlinaa/cats-vs-dogs", "kernel_id": "37273686"}, {"ref": "amirmohebi/dogs-vs-cats-with-cnn-acc-92", "kernel_id": "37237133"}, {"ref": "lsuso1123/keras-cnn-dog-or-cat-classification", "kernel_id": "37014331"}, {"ref": "josemarquesjunior/quest-o-3-sefaz-mg", "kernel_id": "38574059"}, {"ref": "arnavjain1/cats-vs-dogs-cnn", "kernel_id": "38571450"}, {"ref": "greviansonula/cats-vs-dogs-cnn-and-svm", "kernel_id": "38022363"}, {"ref": "erwife/cnn1-ml2-dogs-and-cats-classifier", "kernel_id": "38447960"}, {"ref": "tarunchaubey/image-classification-using-vision-transformer", "kernel_id": "38727797"}, {"ref": "eslamshaban/dogs-vs-cats-classification", "kernel_id": "38859870"}, {"ref": "maharaja95/cats-vs-dogs-cnn-and-vgg-pretrained-model", "kernel_id": "38543347"}, {"ref": "engmahmoudmostafa/autoencoder-on-colorization-image", "kernel_id": "38203716"}, {"ref": "engmahmoudmostafa/dogs-cats-classification-acc-88", "kernel_id": "38204940"}, {"ref": "amanjainjiit/model", "kernel_id": "38033769"}, {"ref": "jldc17/yilmaz-cnn-lab", "kernel_id": "38702641"}, {"ref": "yahyasoker/dog-vs-cat-classification", "kernel_id": "38120655"}, {"ref": "mohammadyasinparsi/keras-mobilenetv2-with-description", "kernel_id": "38384255"}, {"ref": "mohamedade002/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "38199764"}, {"ref": "baruch100/dogs-cats-cnn-vs-fcn", "kernel_id": "38048561"}, {"ref": "beomsulee/dogs-vs-cats-with-cnn", "kernel_id": "38308699"}, {"ref": "dxpnkil/dog-and-cat-using-resnet18-in-pytorch", "kernel_id": "38195592"}, {"ref": "hiiscp/cnn-lab", "kernel_id": "38378843"}, {"ref": "himanishjosh/check-uncheck-final", "kernel_id": "38305783"}, {"ref": "xappleman/notebooka9f3a1d777", "kernel_id": "38488716"}, {"ref": "ankusharudkar/pytorch-cnn-model-for-classification", "kernel_id": "39292089"}, {"ref": "mohamedmagdy191/dogs-vs-cats-cnn-pytorch", "kernel_id": "39601359"}, {"ref": "pranayrishith16/is-it-dog-or-cat", "kernel_id": "39189293"}, {"ref": "marwaaabdalhakim/cats-vs-dogs", "kernel_id": "39875953"}, {"ref": "marwaaabdalhakim/cats-vs-dogs-binaryclassify-dl", "kernel_id": "39500839"}, {"ref": "akithu/dog-cat-se171257", "kernel_id": "39582350"}, {"ref": "seyyedrezamoslemi/dogs-vs-cats-with-vgg16", "kernel_id": "39711393"}, {"ref": "osmanyasser/dogs-vs-cats", "kernel_id": "39495829"}, {"ref": "kristinapoberezhna/dog-or-cat-with-tf", "kernel_id": "39970694"}, {"ref": "huyquangdn/keras-vgg16", "kernel_id": "39902981"}, {"ref": "ibrahimgahmed/cats-vs-dogs", "kernel_id": "39838727"}, {"ref": "leokagglelk/is-it-a-dog-or-cat", "kernel_id": "39978815"}, {"ref": "abhisheksingh350/notebook67931e9219", "kernel_id": "39308024"}, {"ref": "rasaviharhouse/cat-or-dog-pytorch", "kernel_id": "40555049"}, {"ref": "motohiro/catsvsdogs-90-accuracy", "kernel_id": "40862387"}, {"ref": "derekxue/is-it-dog-or-cat", "kernel_id": "40422059"}, {"ref": "derekxue/dogcatclassification", "kernel_id": "40421842"}, {"ref": "shikameow/tensorflow-easy-tutorial", "kernel_id": "40173207"}, {"ref": "ahmedelsayedrashad/dogs-vs-cats-custom-model", "kernel_id": "40803846"}, {"ref": "adrienriaux/cnn-da-on-cat-vs-dog", "kernel_id": "40331939"}, {"ref": "spacecowgirl/notebook372a67d381", "kernel_id": "40784222"}, {"ref": "sumantamanna/cats-vs-dogs", "kernel_id": "40080988"}, {"ref": "rautaishwarya/cat-vs-dog-classification-using-cnn", "kernel_id": "40468113"}, {"ref": "maliksahab1/cats-and-dogs-cnn-practice", "kernel_id": "40192921"}, {"ref": "judy8889107/cat-dog-detect-v3", "kernel_id": "40530741"}, {"ref": "swatibajaj54/dog-vs-cat-vgg16-98-accuracy", "kernel_id": "40644206"}, {"ref": "liltoeturtle/cnn-tensorflow-solution", "kernel_id": "40322902"}, {"ref": "mostafa49/cat-vs-dog", "kernel_id": "40177187"}, {"ref": "theanng/ml-project", "kernel_id": "40377208"}, {"ref": "vislavdisgrigorev/cat-vs-dog", "kernel_id": "40155974"}, {"ref": "snk125/cat-vs-dogs-cnn-model", "kernel_id": "40332652"}, {"ref": "maedaakihito/notebook372a67d381", "kernel_id": "40784808"}, {"ref": "koshimosojiro/notebook372a67d381", "kernel_id": "40784912"}, {"ref": "tomanakagawa/notebook9eacb096b2", "kernel_id": "40927896"}, {"ref": "yamamotosora0729/notebook6b748af2b3", "kernel_id": "40618475"}, {"ref": "noueuta/notebook372a67d381", "kernel_id": "40784948"}, {"ref": "yousseftouama/dog-vs-cat-vgg16-98-accuracy", "kernel_id": "41743562"}, {"ref": "yousseftouama/convolutional-neural-network", "kernel_id": "41694302"}, {"ref": "talhaasghar/c2-w2-lab-1-cats-v-dogs", "kernel_id": "41209093"}, {"ref": "adrienriaux/transfer-learning-on-cat-vs-dog", "kernel_id": "41194058"}, {"ref": "moustafamagdy31/cnn-tensorflow-solution", "kernel_id": "41067190"}, {"ref": "hasibullahaman/catvsdog-classification-keras-api", "kernel_id": "41963214"}, {"ref": "achrafkhabar/cnn-for-cat-dog-classification", "kernel_id": "41289534"}, {"ref": "spacecowgirl/dogs-vs-cats-cnn", "kernel_id": "41225416"}, {"ref": "brownbong22/dog-vs-cat", "kernel_id": "41025075"}, {"ref": "eidosama/dog-vs-cat-cnn-model", "kernel_id": "41870903"}, {"ref": "divyanshnautiyal/transfer-learnin", "kernel_id": "41894201"}, {"ref": "seijimurata/notebook-murata", "kernel_id": "41627461"}, {"ref": "cherryblossomtree/notebook39f0bd0671", "kernel_id": "41501915"}, {"ref": "cherryblossomtree/notebook1b729ecdea", "kernel_id": "41528346"}, {"ref": "syamagami/syamagami-dogs-vs-cats", "kernel_id": "41531747"}, {"ref": "toriiyuka/torii-yuka", "kernel_id": "41524045"}, {"ref": "toriiyuka/notebook63ddea0856", "kernel_id": "41523043"}, {"ref": "toriiyuka/toriiyuka", "kernel_id": "41526593"}, {"ref": "kinoko29/notebook847c8280f1", "kernel_id": "41580962"}, {"ref": "msstone/notebookd6b8f804fe", "kernel_id": "41583200"}, {"ref": "harukikitagawa/dog-vs-cats-kitagawa", "kernel_id": "41523638"}, {"ref": "yasuterao/yasuterao-dogs-vs-cats", "kernel_id": "41586867"}, {"ref": "kusumina/dogs-vs-cats-2023-ds", "kernel_id": "41458941"}, {"ref": "amoshouei/amoshoei", "kernel_id": "41524186"}, {"ref": "masayukihigaki/dogs-vs-cats-higaki", "kernel_id": "41523882"}, {"ref": "masayukihigaki/notebook9eacb096b2", "kernel_id": "41465564"}, {"ref": "kensukefujita1234/kfujita-dogs-vs-cats-normal", "kernel_id": "41477630"}, {"ref": "hoshinoissei/notebook6b748af2b3", "kernel_id": "41216475"}, {"ref": "badreddineb/dogs-and-cats", "kernel_id": "42070208"}, {"ref": "abdallamahmoudamin/cats-dogs-fully-cnn-explination", "kernel_id": "42673823"}, {"ref": "harshitagarwal41/cats-vs-dogs-with-90-accuracy", "kernel_id": "42348972"}, {"ref": "mamta01/dog-vs-cats-image-classification", "kernel_id": "42113799"}, {"ref": "dbdmobile/cnn-for-beginner", "kernel_id": "42019644"}, {"ref": "dsidharth/94-test-and-valid-accuracy-model", "kernel_id": "42602654"}, {"ref": "sachinpatil1280/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "42655261"}, {"ref": "sachinpatil1280/cats-vs-dogs-image-classification-vgg16-98", "kernel_id": "42756315"}, {"ref": "ezkawaii/chiens-et-chats-classification-en-fran-ais", "kernel_id": "42721270"}, {"ref": "ahmedtronic/dogsvscats-classification-efficientnetb5-98", "kernel_id": "43999160"}, {"ref": "josekristianresabal/dog-cat-pytorch-demo", "kernel_id": "43630030"}, {"ref": "jvthunder/simple-image-classification-using-pytorch", "kernel_id": "43554301"}, {"ref": "ersinztrk/deep-nn-cat-dog-img-classification-accuracy-100", "kernel_id": "43224316"}, {"ref": "tutenstein/cnn-model-validation-acc-90", "kernel_id": "43286836"}, {"ref": "sarvagyaporwal/dogscats-1", "kernel_id": "43270009"}, {"ref": "abdelruhmanessam/cats-vs-dogs-classification-efficientnetb5-98", "kernel_id": "43663028"}, {"ref": "mhmmadalewi/classifier-dogs-or-cats-val-acc-98-5", "kernel_id": "43695210"}, {"ref": "alaa2mahmoud/cats-dogs-mobilenetv2-xception-96-96-oop", "kernel_id": "43552493"}, {"ref": "alaa2mahmoud/cats-dogs-feature-extraction-99-web-app", "kernel_id": "43883375"}, {"ref": "alaa2mahmoud/cats-dogs-fine-tuning-2-cnn-s-98-97-oop", "kernel_id": "43576012"}, {"ref": "ahmedelheity/cats-vs-dogs-classification-efficientnetb5-98", "kernel_id": "43698654"}, {"ref": "abdallhaosman/dog-vs-cat-clssification", "kernel_id": "43157509"}, {"ref": "abdallabola/dog-cat", "kernel_id": "43018528"}, {"ref": "pranavmaheshwari2603/dog-classification-using-tensorflow", "kernel_id": "43344890"}, {"ref": "sabanf/cats-vs-dogs", "kernel_id": "43999339"}, {"ref": "sherifyasser/notebook25445fbabb", "kernel_id": "44187871"}, {"ref": "pietrocometti99/longerepochs", "kernel_id": "44783184"}, {"ref": "bhupendram/prodigy-ml-03", "kernel_id": "44035385"}, {"ref": "minhvtm/mobilenets-experiement", "kernel_id": "44741353"}, {"ref": "walzii/classifier-dogs-or-cats-val-acc-95", "kernel_id": "44022139"}, {"ref": "susandaneshmand/cats-vs-dogs-classification-accuracy-99", "kernel_id": "45476781"}, {"ref": "a7madmostafa/image-classification-for-beginners-step-by-step", "kernel_id": "45293947"}, {"ref": "farzadnekouei/weather-proof-pet-detection-app", "kernel_id": "45934502"}, {"ref": "fatemehboloori/cat-vs-dogs-classification-resnet", "kernel_id": "45533203"}, {"ref": "aminaidhm23386/dog-cat-classification", "kernel_id": "45245857"}, {"ref": "mahdisavoji/catvsdog-detection", "kernel_id": "45830790"}, {"ref": "yusuf03/cat-vs-dog-using-cnn-on-small-data-98", "kernel_id": "45529794"}, {"ref": "oneplusoneisthree/alexnet-implementation", "kernel_id": "45474517"}, {"ref": "taherehmajidi/transfer-learning-on-cat-vs-dog", "kernel_id": "45671873"}, {"ref": "quangcd/dog-or-cat", "kernel_id": "45340814"}, {"ref": "ahmadannas44119/utsai1", "kernel_id": "45466072"}, {"ref": "priyanshubaklava/cnn-model-validation-acc-90", "kernel_id": "45823341"}, {"ref": "thesnak/pet-detection-using-efficientnetb5", "kernel_id": "46049815"}, {"ref": "eilskr/ada511-training-transducer-dataset", "kernel_id": "46353878"}, {"ref": "gergesnabilnaeemfarg/feature-extractor-fine-tuning-with-keras", "kernel_id": "46581213"}, {"ref": "kaerllet/dogs-vs-cats-cnn-pytorch", "kernel_id": "46277345"}, {"ref": "yoniquee/just-learning", "kernel_id": "46028748"}, {"ref": "yimingchen2023/notebook6c1b5e36e7", "kernel_id": "46826944"}, {"ref": "alielhenidy/catvsdog-detection", "kernel_id": "47917316"}, {"ref": "ricopue/dogs-cats-ricopue", "kernel_id": "47931993"}, {"ref": "wilicw/resnet50-catdog", "kernel_id": "47910077"}, {"ref": "shahediqbalchowdhury/efficientnetb5-99-dogs-vs-cats-classification", "kernel_id": "47958689"}, {"ref": "edgarmuyale/cats-and-dogs-classifications-using-svm", "kernel_id": "47450537"}, {"ref": "jackcui68/95-7-accuracy-with-cnn", "kernel_id": "47468330"}, {"ref": "aryaadithyan/convolutional-neural-network-implementation", "kernel_id": "47273904"}, {"ref": "fathyfathysahlool/cat-vs-dog", "kernel_id": "47389263"}, {"ref": "mattspotify2023/cats-vs-dogs-transfer-learning", "kernel_id": "47616842"}, {"ref": "shivam6862/pet-classify-hub", "kernel_id": "47545466"}, {"ref": "lokmanefe/dog-or-cat-classification-90", "kernel_id": "47976645"}, {"ref": "syqqqq/keras-cnn-dog-or-cat-classification", "kernel_id": "47626221"}, {"ref": "tabualkher/cnn-by-tf-using-image-augmentation-and-dropout", "kernel_id": "48034718"}, {"ref": "yassineboutakbout/tf-cnn-eda-data-augmentation-high-accuracy-92", "kernel_id": "48790748"}, {"ref": "npk7264/dog-vs-cat-classification", "kernel_id": "48448203"}, {"ref": "abdelrahmanahmed110/cats-vs-dogs-classification", "kernel_id": "48343930"}, {"ref": "phuclehoang150702/dogcat-classification", "kernel_id": "48477804"}, {"ref": "kushgadodia/notebook0209849ae7", "kernel_id": "48119408"}, {"ref": "taitruong123/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "48111861"}, {"ref": "kasikrit/dog-and-cat-classification-2024", "kernel_id": "49082935"}, {"ref": "alpertellioglu/dogs-cats-fine-tuning-vgg16", "kernel_id": "49588696"}, {"ref": "vimalkumarnarasiman/cats-vs-dogs-classification-using-cnn", "kernel_id": "49197565"}, {"ref": "jjentaaw/dogvscat", "kernel_id": "49830311"}, {"ref": "nick33990/efficientnet-b0-transfer-learning", "kernel_id": "49780410"}, {"ref": "arinbasu2023/functional-cv", "kernel_id": "49140139"}, {"ref": "wahajsayyed/notebook-tf-cnn-inception-transfer-learning", "kernel_id": "49653323"}, {"ref": "warakornkhwannui/dog-and-cat-classification-2024", "kernel_id": "49341874"}, {"ref": "ratapppp/dog-and-cat-classification-2024-1", "kernel_id": "49341129"}, {"ref": "nai258/dog-and-cat-classification-2024", "kernel_id": "49937379"}, {"ref": "routed98s/dog-and-cat-rudee-billatah-6610210496", "kernel_id": "49341009"}, {"ref": "chaichanak/dogs-and-cats", "kernel_id": "49340139"}, {"ref": "paradonnooeiad/6610210492-6610210487-dog-and-cat", "kernel_id": "49342008"}, {"ref": "wachirawitmakpiroon/dog-and-cat-classification", "kernel_id": "49341899"}, {"ref": "charinratsuwannarat/bin-2", "kernel_id": "49341264"}, {"ref": "charinratsuwannarat/6610210483-dog-and-cat-classification-2024-f1c7f4", "kernel_id": "49789879"}, {"ref": "snowsugare233/dog-and-cat-classification-2024", "kernel_id": "49341122"}, {"ref": "sakdarsukkwan/6610210502-6610210490-dog-and-cat-classification", "kernel_id": "49342606"}, {"ref": "naritsara490/dog-and-cat-classification-2024-490", "kernel_id": "49342068"}, {"ref": "suhaimee/dog-and-cat-classification-2024-6510210262", "kernel_id": "49340978"}, {"ref": "suhaimee/dog-and-cat-classification-2024-6610210494", "kernel_id": "49916215"}, {"ref": "suhaimee/dog-and-cat-classification-2024-3nd-inceptionv3", "kernel_id": "49916179"}, {"ref": "nutchanonboonme/dog-and-cat-6610210487-6610210492", "kernel_id": "49341943"}, {"ref": "misteryee/dog-cat-classification", "kernel_id": "49341799"}, {"ref": "sumetthongin/dog-and-cat-classification-510", "kernel_id": "49341160"}, {"ref": "sakdithat/photos-of-dogs-and-cats", "kernel_id": "49340144"}, {"ref": "sarwut/6610210501dog-and-cat-classification-vgg16-and-xce", "kernel_id": "49341754"}, {"ref": "maccccc2/dogvscat", "kernel_id": "49340960"}, {"ref": "jeehanyama/6510210439-dog-and-cat", "kernel_id": "49341734"}, {"ref": "focus222/6610210485-how-to-classify", "kernel_id": "49340989"}, {"ref": "sutawanee/dog-and-cat-classification-2024", "kernel_id": "49341250"}, {"ref": "thitinanyingtawee/dog-and-cat-classification-2024", "kernel_id": "49869843"}, {"ref": "nasmasaearma/dog-and-cat-classification-2024-1", "kernel_id": "49868359"}, {"ref": "damnsuij/cnn-resnet", "kernel_id": "49376689"}, {"ref": "hozheheng/cat-dog-classification-using-cnn", "kernel_id": "49736920"}, {"ref": "pocharapon/dog-and-cat-classification-2024-3e3246", "kernel_id": "49812761"}, {"ref": "kasikrit/dog-and-cat-classification-2024-kasikrit", "kernel_id": "50045731"}, {"ref": "mahima5598/dogs-cats-fine-tuning-vgg16", "kernel_id": "50919038"}, {"ref": "kurniazulda/cat-vs-dog", "kernel_id": "50278015"}, {"ref": "mauryashikhar87/cnn-in-small-dataset-in-keras", "kernel_id": "50944185"}, {"ref": "nanthira/dog-vs-cats", "kernel_id": "50194492"}, {"ref": "muhammadumermujahid/pet-classifier-using-svm", "kernel_id": "50891363"}, {"ref": "uom200523j/cat-and-dog-2024", "kernel_id": "50070318"}, {"ref": "abdoashraf90/cat-vs-dog-using-efficionnetb5", "kernel_id": "50083275"}, {"ref": "yadasuwannachote/dog-and-cat-classification-2024", "kernel_id": "50400522"}, {"ref": "settawutinthong/5-model", "kernel_id": "50493900"}, {"ref": "settawutinthong/dog-and-cat-classification-2024-344-109", "kernel_id": "50189687"}, {"ref": "manderler/5-model", "kernel_id": "50372039"}, {"ref": "susaneew/dog-and-cat-classification-462-644", "kernel_id": "50371822"}, {"ref": "warakornkhwannui/dog-and-cat-classification-2024-6610210498", "kernel_id": "50725330"}, {"ref": "warakornkhwannui/notebook19e3063b33", "kernel_id": "50021253"}, {"ref": "ratapppp/493-495-dog-and-cat-classification-2024-3rd", "kernel_id": "50641231"}, {"ref": "nai258/dog-and-cat-classification-2024-kasikrit", "kernel_id": "50595813"}, {"ref": "chaichanak/dog-and-cat-classification-2024-chaichana", "kernel_id": "50649397"}, {"ref": "wachirawitmakpiroon/dog-and-cat-classification-6610210497", "kernel_id": "50743113"}, {"ref": "wachirawitmakpiroon/dog-and-cat-classification-2024-it", "kernel_id": "50026320"}, {"ref": "naritsara490/d-c-490", "kernel_id": "50023021"}, {"ref": "suhaimee/dog-and-cat-classification-2024-6610210494-3nd", "kernel_id": "50254219"}, {"ref": "sumetthongin/dog-and-cat-classification-6610210510", "kernel_id": "50679742"}, {"ref": "natchapolchupan/dog-and-cat-classification-2024", "kernel_id": "50018100"}, {"ref": "paponsan/dog-vs-cats-6610210491", "kernel_id": "50029384"}, {"ref": "paponsan/dog-and-cat-6610210491", "kernel_id": "50589673"}, {"ref": "paponsan/dog-and-cat-paponsan-phromchan-6610210491", "kernel_id": "50601013"}, {"ref": "maccccc2/cats-dogs-v2-6610210500", "kernel_id": "50636046"}, {"ref": "maccccc2/cats-dogs", "kernel_id": "50015207"}, {"ref": "supakornkongjun/dog-and-cat-classification-511-506", "kernel_id": "50737669"}, {"ref": "phanomkornsomprakop/dog-and-cat-classification-202-217", "kernel_id": "50394095"}, {"ref": "thitinanyingtawee/dog-and-cat-classification-v-2", "kernel_id": "50310800"}, {"ref": "nasmasaearma/dog-and-cat-train-model", "kernel_id": "50311601"}, {"ref": "nasmasaearma/dog-and-cat-classification-v-2", "kernel_id": "50440693"}, {"ref": "nasmasaearma/dog-and-cat-classification-v-2-eca983", "kernel_id": "50508442"}, {"ref": "tonthan/5-model-dogs-vs-cats", "kernel_id": "50506493"}, {"ref": "punnitaboonsawang/dog-and-cat-classification-202-217", "kernel_id": "50512486"}, {"ref": "angieyaotak/6410210200-6410210362-dod-vs-cat", "kernel_id": "50486428"}, {"ref": "nandubc/dogs-vs-cats-efficientnet2", "kernel_id": "51844079"}, {"ref": "omarmostafataha/transfer-learning-vgg16-deployment-with-gradio", "kernel_id": "51635573"}, {"ref": "swahajraza/cats-vs-dogs-classifier-vgg16-transfer-learning", "kernel_id": "51002067"}, {"ref": "emadmakhlouf/cats-vs-dogs-parallel-cnn", "kernel_id": "51658207"}, {"ref": "syedmhuzaif/vgg16-catdogclassifier", "kernel_id": "51510763"}, {"ref": "lolo411/dogs-cats-transferlearning-vgg-19", "kernel_id": "51234028"}, {"ref": "artitumir/cat-and-dog-classification-lab-test-1", "kernel_id": "51702764"}, {"ref": "fitrina/dog-and-catclassification-final", "kernel_id": "51018142"}, {"ref": "yimmyjaaa/6510210038-1-dogs-and-cats", "kernel_id": "51241591"}, {"ref": "aisuko/image-classification-with-customise-model", "kernel_id": "52333326"}, {"ref": "khaledeladawy/dogs-vs-cats", "kernel_id": "52715773"}, {"ref": "nghigia/notebookdb44e2924c", "kernel_id": "52572379"}, {"ref": "tuyenvu0505/dog-and-cat-classification-2024", "kernel_id": "52658544"}, {"ref": "amirrezamostafavinia/dogs-vs-cats", "kernel_id": "52418927"}, {"ref": "suzuai/dog-and-cat-classification", "kernel_id": "52998474"}, {"ref": "mohamedgobara/cat-vs-dog-in-ml", "kernel_id": "52412034"}, {"ref": "hadeerbadr/dogs-vs-cats", "kernel_id": "52370955"}, {"ref": "vinitkp/dogscats-transferlearningresnet", "kernel_id": "53274196"}, {"ref": "tabualkher/inceptionv3-transfer-learning-with-val-acc-0-97", "kernel_id": "53245103"}, {"ref": "haneenhossam/cat-vs-dogs-cnn-vgg16-alexnet", "kernel_id": "53920607"}, {"ref": "omega11/svm-image-classification", "kernel_id": "53906563"}, {"ref": "hishamsharaf/transfer-learning-on-dogs-vs-cats-dataset", "kernel_id": "53628403"}, {"ref": "karthiprasad04/dog-vs-cat-classifier-cnn", "kernel_id": "53177413"}, {"ref": "sayedgamal99/cats-vs-dogs-1-pytorch-data-loading", "kernel_id": "53105325"}, {"ref": "ajilalithag/cats-vs-dogs", "kernel_id": "53938329"}, {"ref": "nguyencongcuong/convnext-cats-vs-dogs-image-classification", "kernel_id": "53394480"}, {"ref": "ranasalam/dogs-cats-vgg16-implementation-transfer-learning", "kernel_id": "53097496"}, {"ref": "yeowonn/dogs-vs-cats", "kernel_id": "53440100"}, {"ref": "khaledturbines/notebooka3d3f41d88", "kernel_id": "53737590"}, {"ref": "kk0105/pretrain-imagemodel-classification", "kernel_id": "54263717"}, {"ref": "ayushagro/dog-cats-classification", "kernel_id": "54784585"}, {"ref": "leenzstra/l3-cnn-dogs-cats", "kernel_id": "54130335"}, {"ref": "turnogen/turno-catsvsdogs-vgg16", "kernel_id": "54927827"}, {"ref": "shawshank666/image-classification-with-resnet50", "kernel_id": "54334499"}, {"ref": "ravirajgaikar/cat-or-dog-classification-keras-cnn", "kernel_id": "54955583"}, {"ref": "smitzaveri/svm-dog-cat", "kernel_id": "54878925"}, {"ref": "svendegroeve/d012554-cats-and-dogs", "kernel_id": "55212909"}, {"ref": "ifeoluwaoduwaiye/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "55704655"}, {"ref": "turnogen/turno-catsvsdogs-resnet", "kernel_id": "55116239"}, {"ref": "turnogen/turno-dogsvscatswithoptuna", "kernel_id": "55286798"}, {"ref": "nikkyershov/alexnet-from-scratch", "kernel_id": "55854484"}, {"ref": "zhihonglee/dogsvscatstask4-21", "kernel_id": "55191958"}, {"ref": "evelyncastro/cats-vs-dogs-basic-cnn-tutorial", "kernel_id": "55492899"}, {"ref": "mobinnesari/dogs-vs-cats-augmentation-model", "kernel_id": "56712945"}, {"ref": "brunabellini/dogsvscats-bruna-bellini", "kernel_id": "56146952"}, {"ref": "marinalara/notebook0e0b1cc8c0", "kernel_id": "56143992"}, {"ref": "meowkhoa/final-report-cs231", "kernel_id": "56458686"}, {"ref": "arunl15/dogs-vs-cats-ml", "kernel_id": "56202768"}, {"ref": "namsee123/final-report-cs231", "kernel_id": "56077859"}, {"ref": "sorakasugano1412/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "56646281"}, {"ref": "dibkb9/msa23019-endsem", "kernel_id": "57242727"}, {"ref": "omarghazy56/cats-vs-dogs-tf-acc-99-using-resnet50", "kernel_id": "57091606"}, {"ref": "kashishchhabra/notebook00f2197eba", "kernel_id": "57338934"}, {"ref": "vikas70607/cats-vs-dog", "kernel_id": "57228656"}, {"ref": "elsayednashaat/dogs-vs-cats-inceptionnet-pytorch", "kernel_id": "57286524"}, {"ref": "tobiweiss/cat-dog-classification", "kernel_id": "57929686"}, {"ref": "manaswiniguptaiiitl/notebook8bac6fa316", "kernel_id": "57259442"}, {"ref": "soumyajitjalua/using-vgg16", "kernel_id": "57244169"}, {"ref": "adityasharmajprr/vgg16-implementation", "kernel_id": "57254874"}, {"ref": "santoshgkg/variants-fo-vgg16-on-dogs-vs-cats-dataset", "kernel_id": "57253797"}, {"ref": "sanderheyndrickx/heyndrickx-sander-cats-and-dogs-report", "kernel_id": "57053698"}, {"ref": "anshigupta12/deep-learning", "kernel_id": "57262960"}, {"ref": "codingmukul/end-sem-lab", "kernel_id": "57244424"}, {"ref": "pradeepdubey314/msd23016-lab", "kernel_id": "57321518"}, {"ref": "deepakgautam01/dogs-vs-cats", "kernel_id": "57260798"}, {"ref": "samadazimiabriz/vgg16-fine-tuning", "kernel_id": "58941729"}, {"ref": "wilsoncosmo/adl-homework-5-3-analysis", "kernel_id": "58318029"}, {"ref": "mohmedaref/cnn-model", "kernel_id": "58059005"}, {"ref": "isme2r/hog-features-extraction", "kernel_id": "58120431"}, {"ref": "isme2r/sobel-features-extraction", "kernel_id": "58876914"}, {"ref": "quangnamvu/report4-svm-classification-animal", "kernel_id": "58050387"}, {"ref": "hanviksuruboyina/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "59996140"}, {"ref": "nitish2005/vgg16-fine-tuning", "kernel_id": "59324287"}, {"ref": "motaharevatandoust/project-cats-vs-dogs", "kernel_id": "59621300"}, {"ref": "member09/cats-vs-dogs", "kernel_id": "60359451"}, {"ref": "promimojumder/cat-vs-dog-kaggle", "kernel_id": "60930607"}, {"ref": "manojkumarshenu/dogs-vs-cats", "kernel_id": "60079152"}, {"ref": "tamzidmiskat/cat-vs-dog-kaggle", "kernel_id": "60702873"}, {"ref": "chikausa/keras-api-testing", "kernel_id": "60390835"}, {"ref": "sagnikdebnath007/cnn-with-vgg16", "kernel_id": "60701883"}, {"ref": "ouzberkaydin/dog-and-cats", "kernel_id": "60747320"}, {"ref": "niketanmoon/vit-sota-pytorch", "kernel_id": "61517915"}, {"ref": "arieair/leo-hu-vgg19", "kernel_id": "61762947"}, {"ref": "allamelsheikh/cats-and-dogs-using-dataugmantation-and-pretraind", "kernel_id": "61749344"}, {"ref": "sayedgamal99/cats-vs-dogs-2-pytorch-build-model", "kernel_id": "61297572"}, {"ref": "tristanwassner/tp5-apr-corby-wassner", "kernel_id": "61121276"}, {"ref": "aayushkubba/cats-vs-dogs-image-classification-using-cnn", "kernel_id": "62883808"}, {"ref": "aayushkubba/weekend-assignment-intellipat", "kernel_id": "62980701"}, {"ref": "sagar1506/transfer-learning-dogs-vs-cats", "kernel_id": "62481133"}, {"ref": "tatyanafilimonova/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "62245418"}, {"ref": "rsnagakumar/27-07-2024-grs", "kernel_id": "62842085"}, {"ref": "umairshahpirzada/cats-vs-dogs-svm-classification", "kernel_id": "62387329"}, {"ref": "santapiyaphon/transfer-learning-based-dog-and-cat-classifier", "kernel_id": "62804058"}, {"ref": "vaibhavbs21/vaibhavbs-21-dogs-vs-cats", "kernel_id": "62377212"}, {"ref": "aayushkubba/image-classification-using-cnn-transfer-learning", "kernel_id": "63317588"}, {"ref": "rashidulhaqyousafzai/cat-vs-dogs-project", "kernel_id": "63871979"}, {"ref": "shyamgsundhar/dcatsa", "kernel_id": "63412356"}, {"ref": "onion209/dog-and-cat-classify", "kernel_id": "63608586"}, {"ref": "mennaafifyy/dogs-vs-cats", "kernel_id": "63652650"}, {"ref": "sidahmedboudaoud/dogs-vs-cats", "kernel_id": "63414166"}, {"ref": "bo0o0dy1199gmailcom/classify-dogs-and-cats", "kernel_id": "63568908"}, {"ref": "sowmyajayakanth/cnn-transferleaning-augmentation", "kernel_id": "63480053"}, {"ref": "raisaurabh44/image-classification-using-cnn-transfer-learning", "kernel_id": "63419971"}, {"ref": "abhishekkumaraaaaa/dog-vs-cat-with-cnn-and-vgg16", "kernel_id": "63291998"}, {"ref": "muneeb2405/transferlearning-inception-v3-pytorch", "kernel_id": "64904693"}, {"ref": "alejandravillarreal/cat-vs-dog", "kernel_id": "64361292"}, {"ref": "ramezmohamed/dogs-vs-cats-classification-deep-nn-98-5-accuracy", "kernel_id": "64137659"}, {"ref": "natchaphonkamhaeng/cats-vs-dogs", "kernel_id": "64251860"}, {"ref": "pahirathannithilan/dog-vs-cat-classification-using-transfer-learning", "kernel_id": "64370358"}, {"ref": "emircengel/cnn-cat-dog-classifier", "kernel_id": "64639061"}, {"ref": "mohamedahmedtolba/cats-vs-dogs-svm-classification", "kernel_id": "64912179"}, {"ref": "hayder17/dogs-and-cats-classifications-using-cnn", "kernel_id": "64812087"}, {"ref": "suryanshshah/notebook3e5aee8c65", "kernel_id": "64480380"}, {"ref": "khalidmohammed/transfer-learning", "kernel_id": "65086094"}, {"ref": "juanluisrosa/dogs-and-cats-classifications-using-cnn", "kernel_id": "65225855"}, {"ref": "nadzlaandrita/image-classification-resnet", "kernel_id": "65860516"}, {"ref": "romartin/notebook7ef5a9855f", "kernel_id": "65672391"}, {"ref": "romartin/notebook7ef5a9855f-b617dd", "kernel_id": "65683075"}, {"ref": "parmeshwarsaw/cat-vs-dog", "kernel_id": "65331682"}, {"ref": "davidcuenca/notebookb030d0cf57", "kernel_id": "65678688"}, {"ref": "fr4nk01/notebook7ef5a9855f-b617dd", "kernel_id": "65682127"}, {"ref": "abdallatamer/classify-images-of-cats-and-dogs-using-svm-70", "kernel_id": "65792658"}, {"ref": "khoingan/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "65835156"}, {"ref": "pulkit9463/cats-vs-dogs-classification", "kernel_id": "65954523"}, {"ref": "rafik11/cnn-data-augmentation", "kernel_id": "65390349"}, {"ref": "arhamrafique/catsvsdogs-classification", "kernel_id": "65486074"}, {"ref": "aliciamb/dogs-and-cats-classifications-using-cnn", "kernel_id": "65920109"}, {"ref": "khushivermaz/cat-vs-dogs-project", "kernel_id": "65080683"}, {"ref": "lmtinez/reto-perros-y-gatos", "kernel_id": "65672570"}, {"ref": "lauraalmonacidp/modelo-cats-vs-dogs", "kernel_id": "65680082"}, {"ref": "jasonng3312312312/sequential-cnn-model-for-the-dogs-vs-cats", "kernel_id": "65868408"}, {"ref": "marcelus87/dogs-and-cats-classifications-using-cnn", "kernel_id": "65387842"}, {"ref": "juanricciardi/clacificaci-n-de-pokemones-con-cnn", "kernel_id": "65968371"}, {"ref": "riambau89/week-3-day-2-dogs-and-cats-classifications", "kernel_id": "65920219"}, {"ref": "javiersanchoprez/notebookb030d0cf57", "kernel_id": "65680021"}, {"ref": "carmenpareja/dogs-and-cats-classifications-using-cnn", "kernel_id": "65672417"}, {"ref": "jaimedfc/notebook2d83179dfe", "kernel_id": "65678922"}, {"ref": "anietop/dogs-and-cats-classifications-using-cnn", "kernel_id": "65672325"}, {"ref": "nevilmaloba/dogs-v-cats-dense-image-classification-network", "kernel_id": "66827522"}, {"ref": "nadzlaandrita/vgg16", "kernel_id": "66692051"}, {"ref": "akash10rout/dogsvscats", "kernel_id": "66371776"}, {"ref": "yashitabansal/ques1-assignment4", "kernel_id": "66893661"}, {"ref": "chiraggarg9803/dogs-and-cats-classifications-using-cnn", "kernel_id": "66441103"}, {"ref": "prashudas/cats-vs-dog-cnn-transferlearning-92-accuracy", "kernel_id": "66641275"}, {"ref": "alaagaberh/dogs-vs-cats-resnet-98", "kernel_id": "66229752"}, {"ref": "joelmckinney15/cats-vs-dog-using-hog", "kernel_id": "66678191"}, {"ref": "mihailtimofeeff/dogs-vs-cats-classification-vgg16-fine-tuning", "kernel_id": "66347343"}, {"ref": "jahdielrodriguez/dogs-and-cats-classifications-using-cnn", "kernel_id": "66024852"}, {"ref": "diegobarrera25/dogs-and-cats-classifications-using-cnn", "kernel_id": "67170025"}, {"ref": "yuuthk/fork-of-dogs-vs-cats-template", "kernel_id": "67931391"}, {"ref": "silverfang03/dogsvscats", "kernel_id": "67886267"}, {"ref": "chiraggarg9803/dogsvscats", "kernel_id": "67844883"}, {"ref": "ibrahimallabbad/imageclassifcation-dataaugmentation", "kernel_id": "67164328"}, {"ref": "anisharaphael/bl-en-u4ece22007-cats-and-dogs", "kernel_id": "67132242"}, {"ref": "paulavn/dogs-and-cats-classifications-using-cnn", "kernel_id": "67254395"}, {"ref": "harshrishi/dogsvscats-2446d5", "kernel_id": "67844243"}, {"ref": "mmontiel/dogs-vs-cats-mobilenet", "kernel_id": "68974657"}, {"ref": "mmontiel/digit-recognizer-tinycnn", "kernel_id": "68993572"}, {"ref": "elifcanli/elif-canli-cats-vs-dogs", "kernel_id": "68353162"}, {"ref": "elifcanli/elif-canli-cats-vs-dogs2", "kernel_id": "68677996"}, {"ref": "polinasushko/sushko-cats-dogs", "kernel_id": "68480674"}, {"ref": "ayenureskin/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "68100699"}, {"ref": "sergiorot/dogs-and-cats-classifications-using-cnn", "kernel_id": "69431341"}, {"ref": "paul218/dogs-and-cats-paul", "kernel_id": "69428628"}, {"ref": "yutinghuwu/dogs-and-cats-classifications-using-cnn", "kernel_id": "69682580"}, {"ref": "raihanradhityas/transfer-learning-week-4-cnn-image-classification", "kernel_id": "69408822"}, {"ref": "manuelgarcaplaza/lab-dogs-cats", "kernel_id": "69348183"}, {"ref": "doaahelal/cats-vs-dogs-using-cnn-and-transfer-learning", "kernel_id": "69049316"}, {"ref": "solzeta/dogs-and-cats-classifications-using-cnn", "kernel_id": "69348178"}, {"ref": "zhhanght123/alexnet", "kernel_id": "69426997"}, {"ref": "mireiamartinez/entregable-1-clasificaci-n-de-im-genes-de-perros", "kernel_id": "69412480"}, {"ref": "clarissaardon/dogs-and-cats-classifications-using-cnn", "kernel_id": "69417909"}, {"ref": "adolfopgv/dogs-and-cats-classifications-using-cnn", "kernel_id": "69422223"}, {"ref": "elianstolarsky/dogs-and-cats-classifications-using-cnn", "kernel_id": "69348352"}, {"ref": "jorgevilchezsandoval/dogs-and-cats-classifications-using-cnn", "kernel_id": "69348577"}, {"ref": "rominaemilova/snoopdogs-snoopcats", "kernel_id": "69431453"}, {"ref": "pablosepzor/dogs-and-cats-classifications-using-cnn", "kernel_id": "69419304"}, {"ref": "marcponsmorell/dogs-and-cats-classifications-using-cnn", "kernel_id": "69418066"}, {"ref": "ahmedeko/cats-vs-dogs-using-cnn-and-transfer-learning", "kernel_id": "70896965"}, {"ref": "abhiramkuruva/dogs-vs-cats", "kernel_id": "70478843"}, {"ref": "anwarhawash/dogs-vs-cats-ttraining", "kernel_id": "70458877"}, {"ref": "anwarhawash/dogs-vs-cats-predicted", "kernel_id": "70482561"}, {"ref": "nckustudent1/dog-cat", "kernel_id": "71517203"}, {"ref": "karamalhanatleh/cats-vs-dogs-cnn-with-inceptionv3", "kernel_id": "71822618"}, {"ref": "sanjukinpinem/classifier", "kernel_id": "71515735"}, {"ref": "sreekarakkinapalli/cats-vs-dogs-using-cnn", "kernel_id": "71028202"}, {"ref": "hieuchu2003/tieu-luan-chuong-3-xu-ly-anh", "kernel_id": "71652682"}, {"ref": "untaejeong/notebook5a9a24e854", "kernel_id": "71038892"}, {"ref": "juanrojasb/241201-classificationcatdogstensorflow", "kernel_id": "72044594"}, {"ref": "histonemax/pytorch-densenet-121", "kernel_id": "72781416"}, {"ref": "raihanradhityas/transfer-learning-week-4-image-classification", "kernel_id": "72024727"}, {"ref": "shuvamagarwala/dogs-vs-cats-image-classification-with-cnn", "kernel_id": "72982202"}, {"ref": "estebanbit/dogs-and-cats-classifications-using-cnn", "kernel_id": "72205140"}, {"ref": "mohamedahemed/momowafy-dogs-vs-cats", "kernel_id": "72112073"}, {"ref": "poojakuniyal/keras-dog-cat-classification-cnn", "kernel_id": "72572251"}, {"ref": "suningyu/notebook1873ff4865", "kernel_id": "72811609"}, {"ref": "ekaterinaskripnikova/dogs-and-cats-classifications-using-cnn", "kernel_id": "72206045"}, {"ref": "aleixribaia/dogs-and-cats-classifications-using-cnn", "kernel_id": "72268555"}, {"ref": "tahielszok/dogs-and-cats-classifications-using-cnn", "kernel_id": "72205662"}, {"ref": "gustavom01/dogs-and-cats-classifications-using-cnn", "kernel_id": "72205109"}, {"ref": "yvanator/dogs-and-cats-classifications-using-cnn-4c308e", "kernel_id": "72205196"}, {"ref": "patriciaduronmuniz/dogs-and-cats-classifications-using-cnn", "kernel_id": "72204815"}, {"ref": "nachoohcan/dogs-and-cats-classifications-using-cnn", "kernel_id": "72205449"}, {"ref": "sandratejerizo/dogs-and-cats-classifications-using-cnn", "kernel_id": "72206096"}, {"ref": "elisayada/cats-versus-dogs-ey", "kernel_id": "72330947"}, {"ref": "racasmope/dogs-and-cats-classifications-using-cnn", "kernel_id": "73289193"}, {"ref": "patriciacarrasco/dogs-and-cats-classifications-using-cnn-patricia", "kernel_id": "73268817"}, {"ref": "shuvamagarwala/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "73676551"}, {"ref": "anouarelkalihe/dogs-n-cats-discipline", "kernel_id": "73666079"}, {"ref": "davidcarvajalgarrido/dogs-and-cats-classifications-using-cnn", "kernel_id": "73441477"}, {"ref": "onthit/classification-dogs-cats", "kernel_id": "73040646"}, {"ref": "guillermodm/dogs-and-cats-classifications-using-cnn-ironhack", "kernel_id": "73168652"}, {"ref": "aliciapieiro/dogs-and-cats-classifications-cnn-apm", "kernel_id": "73168739"}, {"ref": "katherinerp5/dogs-and-cats-classifications-using-cnn", "kernel_id": "73169585"}, {"ref": "dvmvjv/notebookac1264a028", "kernel_id": "73168568"}, {"ref": "ivannora/dogs-and-cats-classifications-using-cnn", "kernel_id": "73169699"}, {"ref": "guillemcalaf/entregable-1-dogs-vs-cats", "kernel_id": "73168627"}, {"ref": "adriangarcialopez/dogs-and-cats-classifications-using-cnn", "kernel_id": "73169663"}, {"ref": "antonioquispe/lab-dogs-and-cats-ironhack", "kernel_id": "73291350"}, {"ref": "roysanchezprato/dogs-and-cats-classifications-using-cnn", "kernel_id": "73169520"}, {"ref": "marinacastro98/dogs-and-cats-classifications-using-cnn", "kernel_id": "73265158"}, {"ref": "victormagoheredia/dogs-and-cats-classifications-using-cnn", "kernel_id": "73268593"}, {"ref": "mmartinezjim/dogs-and-cats-classifications-using-cnn", "kernel_id": "73274382"}, {"ref": "fatimafg/dogs-and-cats-classifications-using-cnn", "kernel_id": "73396792"}, {"ref": "fatimafg/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "73268613"}, {"ref": "jordiolaechea/dogs-and-cats-classifications-using-cnn-72293f", "kernel_id": "73279762"}, {"ref": "oscgcs/dogs-and-cats-classifications-using-cnn", "kernel_id": "73442813"}, {"ref": "carlosara03/dogs-and-cats-classifications-using-cnn", "kernel_id": "73268712"}, {"ref": "carlospmr/dogs-and-cats-classifications-using-cnn", "kernel_id": "73174325"}, {"ref": "akshayrr07/cats-vs-dogs-classification-using-cnn", "kernel_id": "74960666"}, {"ref": "kasikritd/dog-and-cat-classification-2025-kasikrit", "kernel_id": "75441325"}, {"ref": "mhdtahadaboul/dogs-vs-cats", "kernel_id": "75762864"}, {"ref": "tartar008/dog-version2", "kernel_id": "75488172"}, {"ref": "methasitr/6510210560-dog-and-cat-5-pre-trained", "kernel_id": "75860237"}, {"ref": "kongkityeesai/dog-and-cat-classification-2025-kongkit", "kernel_id": "75863127"}, {"ref": "piyachainarongsab/classify-dogs-and-cats-pre-trained-5-models", "kernel_id": "75464098"}, {"ref": "kareemamukem/dog-and-cat-resnet50-and-densenet121", "kernel_id": "75844027"}, {"ref": "kanlayaneeat/dog-vs-cats-6510210424", "kernel_id": "75855238"}, {"ref": "panuwitaaa/551-dog-and-cat", "kernel_id": "75864867"}, {"ref": "drapes/cat-vs-dog-classification", "kernel_id": "75783955"}, {"ref": "nehalkumar9113/notebookda3fd42021", "kernel_id": "75925042"}, {"ref": "arpanbareja/exp-3-cat-vs-dog", "kernel_id": "75503061"}, {"ref": "albaclosatarres/dogs-and-cats-classifications-using-cnn", "kernel_id": "76857804"}, {"ref": "razaali10/dogs-cats-fine-tuning-vgg16", "kernel_id": "76026176"}, {"ref": "doaahelal/cat-vs-dogs-using-pytorch", "kernel_id": "76469557"}, {"ref": "kongkityeesai/pre-trained-5-models", "kernel_id": "76348937"}, {"ref": "senasudemir/dog-vs-cat-prediction", "kernel_id": "76992665"}, {"ref": "iffanyingchoraleh/dog-and-cat-classification-2025-6710210474", "kernel_id": "76644622"}, {"ref": "iffanyingchoraleh/5model-dog-and-cat-474", "kernel_id": "76836282"}, {"ref": "panisrakhunprab/dogs-and-cats-pre-trained-5-models-443", "kernel_id": "76213087"}, {"ref": "panisrakhunprab/dogs-and-cats-443-5model", "kernel_id": "76994052"}, {"ref": "piyawatchujak/dog-and-cat-6710210444", "kernel_id": "76663402"}, {"ref": "piyawatchujak/dog-and-cat-classification-6710210444", "kernel_id": "76213322"}, {"ref": "songpolinsuwanno/dog-and-cat-classification-2025-songpol-6710210433", "kernel_id": "76695563"}, {"ref": "tayatornjankao/dog-and-cat-classification-2024-vgg", "kernel_id": "76213071"}, {"ref": "ratchakritbootkong/6710210454-dog-and-cat", "kernel_id": "76533065"}, {"ref": "natthawutpsu/dog-and-cat-classification-2025-6710210427", "kernel_id": "76616524"}, {"ref": "wirotnalaead/dog-and-cat-classification-2026", "kernel_id": "76213062"}, {"ref": "pannathatsaeliao/6710210442-dogs-and-cats", "kernel_id": "76442735"}, {"ref": "pannathatsaeliao/6710210442-dogs-and-cats-pre-trained", "kernel_id": "76923154"}, {"ref": "sorasakbeer/how-to-classify-photos-of-dogs-and-cats-6710210463", "kernel_id": "76663324"}, {"ref": "yongthanaphon/dog-and-cat-classification-2025", "kernel_id": "76217260"}, {"ref": "sdfghjkutrefghfdres/dogs-and-cats-classifications-using-cnn", "kernel_id": "76857875"}, {"ref": "arwaabouattia/fine-tuning-on-classification-task", "kernel_id": "77124348"}, {"ref": "rijancs/dogs-vs-cats", "kernel_id": "77493203"}, {"ref": "ilsafshamsutdinov/resnet-transfer-learning-accuracy-99-78", "kernel_id": "77541006"}, {"ref": "audomkanthongthep/dog-and-cat-classification-6710210475", "kernel_id": "77878566"}, {"ref": "tayatornjankao/dog-and-cat-classification-2024-resnet50v2", "kernel_id": "77367632"}, {"ref": "tayatornjankao/dog-and-cat-classification-2024-inceptionresnetv2", "kernel_id": "77598327"}, {"ref": "tayatornjankao/dog-and-cat-classification-2024-xception", "kernel_id": "77594289"}, {"ref": "tayatornjankao/dog-and-cat-classification-2024-mobilenetv2", "kernel_id": "77807247"}, {"ref": "tayatornjankao/dog-and-cat-classification-2024-nasnetlarg", "kernel_id": "77804329"}, {"ref": "ratchakritbootkong/how-to-classify-photos-of-dogs-and-cats-pre-trai", "kernel_id": "77131657"}, {"ref": "tuscarora/greenedog-vs-cat-prediction", "kernel_id": "78173498"}, {"ref": "benhardstefanus/deep-learning-dogs-vs-cats", "kernel_id": "78716845"}, {"ref": "wilsonanthony/sesi-2-cat-dogs", "kernel_id": "78721516"}, {"ref": "abdocan/cats-vs-dogs-classification-tensorflow-98-7", "kernel_id": "78844359"}, {"ref": "mercury35/classifier-dogs-or-cat", "kernel_id": "78362205"}, {"ref": "noppadonsiripen/noppadon-dog-cat", "kernel_id": "78956543"}, {"ref": "chayakitangsakul/dog-and-cat-classification-2024-mobilenetv2", "kernel_id": "78692011"}, {"ref": "brilianedward/sesi-2-cat-dogs", "kernel_id": "79189761"}, {"ref": "hieuho669/cat-dog-classifier", "kernel_id": "79884757"}, {"ref": "hangwang94/nau-resnet50-for-dog-vs-cat-classification", "kernel_id": "79978790"}, {"ref": "shadaelewa/keras-cnn-cats-dogs-dataset", "kernel_id": "80957894"}, {"ref": "yanpeng051821/notebookbd1dc548bb", "kernel_id": "80610816"}, {"ref": "nastyssssss1234/cats-vs-dogs-image-classification-using-c-3f45fa", "kernel_id": "80709722"}, {"ref": "nastyssssss1234/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "80419470"}, {"ref": "pradipcnair/learning-from-prebuilt-vgg16-model", "kernel_id": "80280524"}, {"ref": "icomert/cat-or-dog-cnn-deep-learning", "kernel_id": "80721820"}, {"ref": "suhanisharma10/cat-vs-dog", "kernel_id": "80616837"}, {"ref": "mayankgbrc/cat-vs-dog-cnn", "kernel_id": "81504482"}, {"ref": "mahabualahiatik/cats-vs-dog-efficientnet", "kernel_id": "81837806"}, {"ref": "ugurcan95/cat-dog-picture-classification", "kernel_id": "81293965"}, {"ref": "venkatadineshv/dl-activity-1", "kernel_id": "81306815"}, {"ref": "jayanthyaramanedi/notebook2a9ff0e364", "kernel_id": "81305080"}, {"ref": "iqbalhossain25/dog-cat-classfication", "kernel_id": "81837724"}, {"ref": "prosenjit7/efficientnetb5-dogs-vs-cats-classification", "kernel_id": "82034533"}, {"ref": "marwanragab1212/cat-or-dog-using-svm", "kernel_id": "82460649"}, {"ref": "hossamelsrah/cats-vs-dogs-image-classification", "kernel_id": "82698865"}, {"ref": "fisalilhamramadhani/uts-machine-learning", "kernel_id": "82258636"}, {"ref": "batyrpro/resnet", "kernel_id": "82070293"}, {"ref": "adenarayana/binary-image-classification-with-pytorch", "kernel_id": "83694450"}, {"ref": "alexandrughiurutan/cats-vs-dogs", "kernel_id": "83757848"}, {"ref": "victoriacabrerag/catdog-99-acc-resnet50", "kernel_id": "83307854"}, {"ref": "meghanatekar/dl-project-3-dog-vs-cat-classificatioa2af126312-1", "kernel_id": "83251174"}, {"ref": "robertiliesiu/cats-vs-dogs", "kernel_id": "83818341"}, {"ref": "kimjunseon1997/catndog", "kernel_id": "83849374"}, {"ref": "shacklekine/wbp-cnn-dog-or-cat-classification", "kernel_id": "83848763"}, {"ref": "adenarayana/how-to-open-zip-file-in-kaggle", "kernel_id": "84115370"}, {"ref": "sbondaryev/dogsvscats", "kernel_id": "84779099"}, {"ref": "sbondaryev/dogsvscatsvgg16", "kernel_id": "84839542"}, {"ref": "aisharisky/cat-vs-dog", "kernel_id": "84604571"}, {"ref": "aisharisky/cat-vs-dog-deteksi", "kernel_id": "84761689"}, {"ref": "justaguye/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "85670872"}, {"ref": "vrajeshpatel22it120/prodigy-ml-03", "kernel_id": "85340149"}, {"ref": "kobayashi1013/cat-dog", "kernel_id": "85940462"}, {"ref": "faizandataanalyst/dogs-vs-cat", "kernel_id": "85641303"}, {"ref": "otanaoki/notebook-dogs-vs-cats-otanaoki", "kernel_id": "85940307"}, {"ref": "sakshimunde/dog-vs-cat-classification-keras-cnn", "kernel_id": "86648496"}, {"ref": "abdullah182/dogs-vs-cats-classification", "kernel_id": "86422346"}, {"ref": "bandito20/fine-tuned-vgg16", "kernel_id": "86812286"}, {"ref": "bandito20/densenet", "kernel_id": "86941988"}, {"ref": "micky486/dogs-and-cats-classifications-using-cnn", "kernel_id": "86790189"}, {"ref": "brhanzelalem1kaggle/dog-vs-cat-using-pytorch", "kernel_id": "86560514"}, {"ref": "sukhpreetsingh01/dogsvscats", "kernel_id": "86026822"}, {"ref": "lilliatop/dogs-vs-cats-notebook", "kernel_id": "86213285"}, {"ref": "w342001/notebookfc1ebd0aa4", "kernel_id": "86386461"}, {"ref": "hiyokonuko/data-science-team", "kernel_id": "86351485"}, {"ref": "kumati/notebook4fdf8b7dcc", "kernel_id": "86385970"}, {"ref": "sasasa1135/notebook61fc529020", "kernel_id": "86851761"}, {"ref": "qianwenghuang/notebook204f10186b", "kernel_id": "86434860"}, {"ref": "qianwenghuang/notebook1eb15824cf", "kernel_id": "86435001"}, {"ref": "qianwenghuang/notebookfeb0e1bba0", "kernel_id": "86440844"}, {"ref": "mikkokaguru0355/notebook91e4d2606a", "kernel_id": "86387212"}, {"ref": "tuyoshitomiyuki/dogs-vs-cats-notebook", "kernel_id": "86516533"}, {"ref": "sarity/dogs-and-cats-classifications-using-cnn", "kernel_id": "86652159"}, {"ref": "ralph719/dogs-and-cats-classifications-using-cnn", "kernel_id": "86654443"}, {"ref": "dharaneeshkumark/svm-classification-dogsvscats", "kernel_id": "86644046"}, {"ref": "cngquynnguyn/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "86558836"}, {"ref": "akmalyaasir/dogs-vs-cats", "kernel_id": "87029754"}, {"ref": "bandito20/fine-tuned-resnet101v2", "kernel_id": "87201984"}, {"ref": "zeynepezgiyakisan/dogs-vs-cats-classification-with-cnn", "kernel_id": "87309845"}, {"ref": "kumati/notebook8e6d3b26e5", "kernel_id": "87762915"}, {"ref": "qianwenghuang/notebook9b813ca540", "kernel_id": "87781684"}, {"ref": "evaciresetcheverry/dogs-and-cats-test-ironhack-is-not-running", "kernel_id": "87942021"}, {"ref": "thomasamara/cat-vs-dog-attention-map", "kernel_id": "88082630"}, {"ref": "jameschiangee/dogs-vs", "kernel_id": "88035371"}, {"ref": "thangnguyen12939445/assignment5", "kernel_id": "88933072"}, {"ref": "hiroki10969/notebook2467495675", "kernel_id": "88000219"}, {"ref": "mohannadashraf14/scratch-vs-transfer-xray", "kernel_id": "88295768"}, {"ref": "ppaulaccalvo/pau-calvo-dogs-and-cats-classifications-using-cnn", "kernel_id": "88168631"}, {"ref": "aakcodebreaker/cats-vs-dogs-classifier", "kernel_id": "89531786"}, {"ref": "simonmellergaard/a-simple-and-efficient-convolution-neural-network", "kernel_id": "89750100"}, {"ref": "itsharshitgoel/dogsvscat", "kernel_id": "89759868"}, {"ref": "thangnguyen012213/dogvscat", "kernel_id": "89180608"}, {"ref": "juanmartinezv4399/l04-image-classification", "kernel_id": "90127142"}, {"ref": "ayonaryan/lab2-1rvu23cse093-260825", "kernel_id": "90476848"}, {"ref": "gperdrizet/tensorflow-cnn-classifier", "kernel_id": "90827522"}, {"ref": "tufankundu/dog-vs-cat-classification", "kernel_id": "92158969"}, {"ref": "dunghoangzzz/keras-cnn-dog-or-cat-classification-739271", "kernel_id": "92359444"}, {"ref": "phmthnhduy/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "92388506"}, {"ref": "yaseminatalay/dogs-vs-cats-akbank-derin-renme-bootcamp", "kernel_id": "92934915"}, {"ref": "emreoktensoy/cat-dog-image-classification-cnn", "kernel_id": "92579450"}, {"ref": "taylantakn/dogs-vs-cats-classification-project", "kernel_id": "92950879"}, {"ref": "korkut61/d0gs-vs-c-ts-classifier", "kernel_id": "92911999"}, {"ref": "balciemirhan/dogs-vs-cats-classification", "kernel_id": "92921451"}, {"ref": "nisasttnndg/belgesagligiasistani-final", "kernel_id": "92508884"}, {"ref": "fadimeocal/dog-and-cat", "kernel_id": "92987937"}, {"ref": "hmeyra/dogs-vs-cats-cnn", "kernel_id": "93120218"}, {"ref": "shubhpathak0614/computer-vision", "kernel_id": "93128255"}, {"ref": "aanstnda/akbankderin-renmebootcamp-dogsvscats-a-anerdem", "kernel_id": "93175980"}, {"ref": "aanstnda/akbankderinogrenmebootcamp-caganerdemustundag", "kernel_id": "93200427"}, {"ref": "chugra/cpe-342-machine-learning-cnn-homework", "kernel_id": "93972011"}, {"ref": "yaskucuker/dogs-vs-cats-model", "kernel_id": "93131434"}, {"ref": "birglutasdemir/dogs-vs-cats-broken-kaggle", "kernel_id": "93213426"}, {"ref": "trantuananhk18hl/dogs-vs-cats-classification-with-cnn", "kernel_id": "93188742"}, {"ref": "erayogunozdemir/dogs-vs-cats", "kernel_id": "93187620"}, {"ref": "sagsan/dogs-vs-cats-fastai", "kernel_id": "93525809"}, {"ref": "emrevarank61/dogscats-v5", "kernel_id": "93192387"}, {"ref": "yavasevval/dogs-vs-cats-proje-26-09-25", "kernel_id": "93173176"}, {"ref": "recepbaak/derin-renme-cnn-projesi", "kernel_id": "93040826"}, {"ref": "fatmazglalkan/akbank-bootcamp", "kernel_id": "93197016"}, {"ref": "quangnguynv/dog-and-cat-classifier-cnn", "kernel_id": "94987708"}, {"ref": "antoniomartnacua/resnet-50-in-pytorch", "kernel_id": "95140978"}, {"ref": "a7madmostafa/cats-vs-dogs", "kernel_id": "96369973"}, {"ref": "leviyoder/cm3-project1-cnn-and-transferlearning", "kernel_id": "96553286"}, {"ref": "saharaml1/tijol-dogs-vs-cats-cnn-transferlearning", "kernel_id": "96759709"}, {"ref": "kirillkosenko/notebook61cb862bdb", "kernel_id": "96420617"}, {"ref": "m7mdabobakr/dogs-vs-cats-with-cnn-vgg-for-beginners", "kernel_id": "99890068"}, {"ref": "yuzhoudiyi/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "102308249"}, {"ref": "liguidn/notebook4fe4e85d13", "kernel_id": "102662322"}, {"ref": "qqqqq67/notebook42faef53f2", "kernel_id": "102803534"}, {"ref": "ardiantu/ardiant-utomo-dog-vs-cat", "kernel_id": "103434726"}, {"ref": "ramosandreas/2602683276-ramos-andreas-deeplearning-session-3", "kernel_id": "103278015"}, {"ref": "ahmadhabibhasanzein/dog-vs-cat", "kernel_id": "103272253"}, {"ref": "dinanirham/comp8044041-forum-3-muhammad-irham-dinan", "kernel_id": "103653005"}, {"ref": "wlwwwlw/fast-cnn-dogs-vs-cats", "kernel_id": "103499230"}, {"ref": "wlwwwlw/t1-p39", "kernel_id": "103494743"}, {"ref": "janechrestella/dl-group1-assign1", "kernel_id": "103280494"}, {"ref": "triasluth/tml-dog-vs-cat", "kernel_id": "103521622"}, {"ref": "headmax/notebook1c2afc5c17", "kernel_id": "104274965"}, {"ref": "abhishekgautam711/dog-vs-cat-classifier-96-accuracy", "kernel_id": "104616080"}, {"ref": "haokehan/notebookc17cafbec1", "kernel_id": "104862137"}, {"ref": "abhijitdalal26/dog-vs-cat-detection", "kernel_id": "105930933"}, {"ref": "mohammedtal3t2005/deep-learning", "kernel_id": "105282081"}, {"ref": "ryy422/cats-vs-dogs-image-classification-pytorch-cnn", "kernel_id": "105086668"}, {"ref": "bibekrai/imageclassificationcatsanddogs", "kernel_id": "106773361"}, {"ref": "arths520/2025-autumn-work4", "kernel_id": "106447138"}, {"ref": "lixuehao/dog-and-cat-classifier-cnn", "kernel_id": "106460749"}, {"ref": "ayamyoussef/dogs-vs-cats", "kernel_id": "107030279"}, {"ref": "thanhkieuvo/conq011-cats-vs-dogs-classification-using-cnn", "kernel_id": "108061879"}, {"ref": "kbhuvana202006/task-3", "kernel_id": "108768275"}, {"ref": "himanshushekhar05/data-augmentation-on-dogs-vs-cats-classifier", "kernel_id": "108580541"}, {"ref": "himanshushekhar05/transfer-learning-on-dogs-vs-cats-classifier", "kernel_id": "108752913"}, {"ref": "kasikrit/dog-and-cat-classification-2026-kasikrit", "kernel_id": "109429152"}, {"ref": "clemencetravers/dog-vs-cat", "kernel_id": "109056627"}, {"ref": "thanaponsujitapan/dog-and-cat-classification-2024-kasikrit", "kernel_id": "109617486"}, {"ref": "kachapunturat/dog-and-cat-classification-2026-6810210445", "kernel_id": "109466680"}, {"ref": "phromamorn/dog-and-cat-classification-2024-phromamorn", "kernel_id": "109991105"}, {"ref": "manasa01234/bdareview", "kernel_id": "110892891"}, {"ref": "kodchakonchomanee/dog-and-cat-classification-6610210001", "kernel_id": "110316053"}, {"ref": "nipatpatchamongkon/6810210533-dogs-and-cats-classify", "kernel_id": "110058278"}, {"ref": "asadals/dog-and-cat-classification-2024", "kernel_id": "110099158"}, {"ref": "chokie11/dog-and-cat-classification-2024-kasikrit", "kernel_id": "110098703"}, {"ref": "khomsansuwanno/dog-and-cat-classification-2024-khomsan", "kernel_id": "110098729"}, {"ref": "ranazainidrees/classifier-dogs-or-cats", "kernel_id": "111646031"}, {"ref": "sojibbhattacharjee/classifier-dogs-or-cats", "kernel_id": "111475867"}, {"ref": "soooo0/question-2", "kernel_id": "111080464"}, {"ref": "matveyyoreshkin/dog-cat", "kernel_id": "111580269"}, {"ref": "cerxxxx/dogs-vs-cats", "kernel_id": "111138546"}, {"ref": "khedhiramaryem/ml-project-cat-dog", "kernel_id": "111846094"}, {"ref": "maocampog1/notebookc0c42a36b3", "kernel_id": "112848731"}, {"ref": "juanmanuelflorez/grupo7-lab-2a", "kernel_id": "112735989"}, {"ref": "jjzfi0/cnn-dogs-cats", "kernel_id": "112633792"}, {"ref": "jabenjury/c964-capstone-project", "kernel_id": "112416121"}, {"ref": "gastnhugo/conv-netcad-batch-norm", "kernel_id": "113190552"}, {"ref": "tanish125/cats-vs-dogs-cnn", "kernel_id": "113763342"}, {"ref": "lucashiguitabedoya/group-lab2a", "kernel_id": "113322668"}, {"ref": "divyasreelekha/task3", "kernel_id": "114661843"}, {"ref": "rohitv18/dogs-vs-cat-cnn", "kernel_id": "115365554"}, {"ref": "zienabgamal/notebook74dc7a64c1", "kernel_id": "116894160"}, {"ref": "abdelazizomarrr/deep-learning-cats-vs-dogs-mnist-fashion-mnist", "kernel_id": "116988830"}, {"ref": "hendkotbabdo/notebook74dc7a64c1", "kernel_id": "117181826"}, {"ref": "petarrrr/dogs-vs-cats", "kernel_id": "117035560"}, {"ref": "ohuykhi/doggy-vs-kitty", "kernel_id": "118358711"}, {"ref": "nguyendatphik18ct/dat-doge-and-cat", "kernel_id": "119836821"}, {"ref": "khnhphm14/notebook7cdeae4e27", "kernel_id": "120707523"}, {"ref": "fikrioktos/image-classification", "kernel_id": "120284679"}, {"ref": "bogialm/seminar-explainableai", "kernel_id": "121113288"}, {"ref": "maheerashaikh06/computer-vision-assignment", "kernel_id": "124676794"}, {"ref": "jeejalarain/computervision", "kernel_id": "124797944"}, {"ref": "swing124/image-classification", "kernel_id": "125318255"}, {"ref": "jcchavez/keras-cnn-dog-or-cat-classification-f686b7", "kernel_id": "127223036"}, {"ref": "syedaalizah/image-classifier", "kernel_id": "127598644"}, {"ref": "santoshyadavaiexpert/dogs-vs-cats-efficientnetb0", "kernel_id": "127279239"}, {"ref": "azizullahasad/cat-dog-fine-tunning", "kernel_id": "128154958"}, {"ref": "vyshnavikunchala/notebookb7aa6c97e4", "kernel_id": "128212858"}, {"ref": "adityadas5501/cnn-catsanddogs", "kernel_id": "130230597"}, {"ref": "sym132137/dogs-vs-cats", "kernel_id": "132991186"}, {"ref": "ngochoangtran1992/cats-vs-dogs-classification-using-a-traditional-ne", "kernel_id": "133670701"}, {"ref": "punnaphong718/6910210718-dog-and-cat-classification-2026", "kernel_id": "133754898"}, {"ref": "nattapon096894/dog-and-cat-classification-2026-kasikrit", "kernel_id": "133281899"}, {"ref": "chanatipjarujareet/6910210696-classify", "kernel_id": "133327726"}, {"ref": "panudetpaungkaew/dog-and-cat-classification-2026-panudet", "kernel_id": "133281683"}, {"ref": "teerawatjantavas/notebook7455fb3af2", "kernel_id": "133792535"}, {"ref": "anattikorn742/6910210742-dogs-and-cats-baseline-cnn", "kernel_id": "133790511"}, {"ref": "anattikorn742/6910210723-dogsvscats", "kernel_id": "133906385"}, {"ref": "akkarawut05/dog-and-cat-classification-2026-6910210741", "kernel_id": "133288895"}, {"ref": "suriyakamon/6910210738dog-and-cat-classification-2026", "kernel_id": "133689661"}, {"ref": "saranphatyongyang/6910210732dog-and-cat-classification-2026kasikrit", "kernel_id": "133827747"}, {"ref": "woranet728/6910210728-dog-and-cat", "kernel_id": "133948231"}, {"ref": "thipwadeekhaww/dog-and-cat-classification-2026-thipwadee-af9ce6", "kernel_id": "133859255"}, {"ref": "lalitathumsuwan/dog-and-cat-classification-2026-kasikrit", "kernel_id": "133937376"}, {"ref": "sirichaithongchumnum/dog-and-cat-classification-2026-sirichai", "kernel_id": "133781422"}, {"ref": "phongpholthongnoi/dog-and-cat-classification-2026-phongphol", "kernel_id": "133789426"}, {"ref": "pornprapatsriphloy/dog-and-cat-classification-2026-6910210720", "kernel_id": "133721205"}, {"ref": "quincykaralius/dog-and-cat-classification-2026-kasikrit-59fe26", "kernel_id": "133936550"}, {"ref": "naruechayamakpiroom/dog-and-cat-classification-2026-6910210716", "kernel_id": "133935258"}, {"ref": "nitikornsingon/6910210717-nitikorn", "kernel_id": "133242106"}, {"ref": "saengloy/dog-and-cat-classification-2026-juthathip693", "kernel_id": "133725349"}, {"ref": "skyrose/6910210714", "kernel_id": "133281927"}, {"ref": "jirayunp/6910210692-classify", "kernel_id": "133281890"}, {"ref": "chalisa07/dog-cat6910210702", "kernel_id": "133285653"}, {"ref": "nichakran/dog-and-cat-classification-2026-6910210706", "kernel_id": "133968675"}, {"ref": "kasikrit/tl-dog-and-cat-classification-2026-kasikrit", "kernel_id": "134064679"}, {"ref": "someonech/dog-and-cat-classification-2026-weerawat", "kernel_id": "134078885"}, {"ref": "ajceeinwza/dog-and-cat-classification-2026-pichai-jindapraser", "kernel_id": "134058118"}, {"ref": "punnaphong718/6910210718-dog-and-cat-classification-2026-v2", "kernel_id": "134121289"}, {"ref": "neoncatlnwza007/6910210708dogvscatvvvv", "kernel_id": "134100981"}, {"ref": "neoncatlnwza007/6910210708dogvscat", "kernel_id": "134099143"}, {"ref": "mrlumburr/notebook847f679d18", "kernel_id": "134073269"}, {"ref": "mrlumburr/tl-dog-and-cat-classification-2026-6910210701", "kernel_id": "134869280"}, {"ref": "nattapon096894/tl-dog-and-cat-classification-2026-kasikrit", "kernel_id": "134135586"}, {"ref": "nattapon096894/tl-dog-and-cat-classification-2026-kasikrit-5dfdd3", "kernel_id": "134145051"}, {"ref": "chanatipjarujareet/tl-dog-and-cat-classification-2026-kasikrit", "kernel_id": "134138336"}, {"ref": "chanatipjarujareet/6910210696-transfer", "kernel_id": "134211167"}, {"ref": "teerawatjantavas/tl-dog-and-cat-classification-2026-kasikrit", "kernel_id": "134138245"}, {"ref": "anattikorn742/6910210742-transfer-learning-3-model", "kernel_id": "134138247"}, {"ref": "akkarawut05/tl-dog-and-cat-classification-2026-6910210741", "kernel_id": "134138246"}, {"ref": "waramatdensaimat/tl-dog-and-cat-classification-2026-6910210730", "kernel_id": "134138250"}, {"ref": "suriyakamon/6910210738-tl-dog-and-cat-classification-2026", "kernel_id": "134830670"}, {"ref": "saranphatyongyang/tl-dog-and-cat-classification-2026-saranphat", "kernel_id": "134138282"}, {"ref": "woranet728/6910210728-tl-dog-and-cat-classification-2026", "kernel_id": "134933451"}, {"ref": "thipwadeekhaww/tl-dog-and-cat-classification-2026-thipwadee", "kernel_id": "134589503"}, {"ref": "lalitathumsuwan/tl-dog-and-cat-classification-2026-kasikrit-a881c9", "kernel_id": "134700846"}, {"ref": "thanaphatthongarsa/transfer-learning712", "kernel_id": "134568813"}, {"ref": "sirichaithongchumnum/tl-dog-and-cat-classification-2026-sirichai", "kernel_id": "134138292"}, {"ref": "phongpholthongnoi/tl-dog-and-cat-classification-2026-phongphol", "kernel_id": "134779390"}, {"ref": "quincykaralius/tl-dog-and-cat-classification-2026-kasikrit", "kernel_id": "134648405"}, {"ref": "peeranutprajon/tl-dog-and-cat-classification-2026-kasikrit", "kernel_id": "134122651"}, {"ref": "peeranutprajon/6610710088-transfer", "kernel_id": "134998396"}, {"ref": "saengloy/tl-dog-and-cat-classification-2026-juthathip-693", "kernel_id": "134145335"}, {"ref": "saengloy/tl-dog-and-cat-classification-2026-kasikrit", "kernel_id": "134138331"}, {"ref": "reallylonely/6910210729", "kernel_id": "134040862"}, {"ref": "jaroenporn/6910210694-dogcat", "kernel_id": "134138249"}, {"ref": "chayakornnn/dog-and-cat-classification-2026-chayakorn", "kernel_id": "134063320"}, {"ref": "nualporm/dog-and-cat-classification-2026-6910210710", "kernel_id": "134075057"}, {"ref": "jirayunp/transfer-learning-6910210692", "kernel_id": "134510828"}, {"ref": "nichakran/tl-dog-and-cat-classification-2026-6910210706", "kernel_id": "134804186"}, {"ref": "knighttales/dog-and-cat-classification-2026-siriwat", "kernel_id": "134064364"}, {"ref": "sipakxt/dog-and-cat-classification-2026-supakit", "kernel_id": "134064287"}, {"ref": "anuwatinjuy/6910210739", "kernel_id": "134094466"}, {"ref": "thirdx/6910210711-classify", "kernel_id": "134119338"}, {"ref": "ivarvb/ia26iisem04", "kernel_id": "135883447"}, {"ref": "madblood32/dataprocessing", "kernel_id": "135142154"}, {"ref": "tannnyyy/notebooke6578cd7e4", "kernel_id": "135181336"}, {"ref": "punnaphong718/6910210718-tl-dog-and-cat-classification-2026", "kernel_id": "135014852"}, {"ref": "lchristianhg/ia26iisem04", "kernel_id": "135892677"}, {"ref": "kasikrit/tl-ft-dog-and-cat-classification-2026-kasikri", "kernel_id": "136051712"}, {"ref": "nattapon096894/tl-ft-dog-and-cat-classification-2026-kasikri", "kernel_id": "136642780"}, {"ref": "saengloy/tl-ft-dog-and-cat-classification-6910210693", "kernel_id": "136537267"}]}
{"competition_id": "3364", "kernels": [{"ref": "siddhrath/generating-fake-images-with-gan-algorithm", "kernel_id": "4213106"}, {"ref": "shubhamjadon/kernel21dda3c248", "kernel_id": "5716762"}, {"ref": "matzewolf/fer2013-preprocessing", "kernel_id": "5441437"}, {"ref": "rkritika1508/fer-2013-emotion-recognition", "kernel_id": "7236825"}, {"ref": "ztaihong/minivgg13", "kernel_id": "7985058"}, {"ref": "mohammed94/facial-expression-model", "kernel_id": "8178124"}, {"ref": "mohammed94/facial-emotion-detection-cnn", "kernel_id": "8121774"}, {"ref": "kaiska/facial-recognition-competition-using-fastai", "kernel_id": "8930148"}, {"ref": "izabellaleroy/emotion-face-identifier", "kernel_id": "8964513"}, {"ref": "chandanapasupuleti/kernel75fd74832b", "kernel_id": "10998400"}, {"ref": "haneenabdelmaguid/notebook4b56aa2a79", "kernel_id": "11796174"}, {"ref": "mariamboules/face-expressions-detection", "kernel_id": "11775336"}, {"ref": "mariamboules/facial-expression-detection", "kernel_id": "11883000"}, {"ref": "hamiedamr/transferlearning-oversampling-labelsmoothing", "kernel_id": "12490500"}, {"ref": "drcapa/facial-expression-eda-cnn", "kernel_id": "12314682"}, {"ref": "kilean/emotion-detection-accuracy70", "kernel_id": "12440464"}, {"ref": "shubhankarsharma00/stress-detect", "kernel_id": "12389650"}, {"ref": "omarelmellouki/first-share", "kernel_id": "12689530"}, {"ref": "muhammadumerbhutta/facial-recognition-competition-using-fastai", "kernel_id": "12819472"}, {"ref": "saurabhhulyal/ic-sentimentanalysis", "kernel_id": "12030141"}, {"ref": "neelparihar/emotion-detection-ann", "kernel_id": "12620966"}, {"ref": "crucifierbladex/fer-challenge", "kernel_id": "12604659"}, {"ref": "dolmangksun/facial-expression-ai", "kernel_id": "12640894"}, {"ref": "agrjarastogi/ic-sentimentanalysis-e9dd27", "kernel_id": "12071795"}, {"ref": "agrjarastogi/ic-sentimentanalysis", "kernel_id": "12063882"}, {"ref": "treamaniac/facial-exp", "kernel_id": "12375081"}, {"ref": "haneenabdelmaguid/facial-expression-detection-2", "kernel_id": "12119505"}, {"ref": "mariamboules/facial-expression-detection-2", "kernel_id": "12068773"}, {"ref": "shubhahuja/emotion-detection", "kernel_id": "12509379"}, {"ref": "chaochen666666/fer2013-net", "kernel_id": "12955656"}, {"ref": "howl96/emotion-cnn", "kernel_id": "13762407"}, {"ref": "venkatavyshnav/minipjt", "kernel_id": "13033643"}, {"ref": "vipinochiramani/notebook7e83fcd07e", "kernel_id": "13709142"}, {"ref": "alexbsantos/ic-reconhecimento-emocoes-deep", "kernel_id": "13149582"}, {"ref": "lemartiens/facial", "kernel_id": "14482033"}, {"ref": "yassershrief/emotion-detection-using-keras", "kernel_id": "14003537"}, {"ref": "avk256/face-emotion-classification-with-mlp", "kernel_id": "15253001"}, {"ref": "sam9905/facial", "kernel_id": "15078811"}, {"ref": "raammishra/emotiondetector", "kernel_id": "15679953"}, {"ref": "nikhil0509/fer-2021", "kernel_id": "15504438"}, {"ref": "qq958976878/320203302-1", "kernel_id": "16222649"}, {"ref": "marselaaliaj/facial-recognition-presentation", "kernel_id": "16054981"}, {"ref": "marselaaliaj/final-project", "kernel_id": "16527598"}, {"ref": "alinaspasskaya/lab-3-face-emotion-classification-with-mlp", "kernel_id": "16961970"}, {"ref": "alinaspasskaya/lab-2-face-emotion-classification-with-mlp", "kernel_id": "16961003"}, {"ref": "harygary/face-emotion-classification-with-mlp-2", "kernel_id": "16616006"}, {"ref": "harygary/face-emotion-classification-with-mlp-b989d0", "kernel_id": "16616216"}, {"ref": "dencho143/face-emotion-classification-with-mlp-2-barykin", "kernel_id": "16964795"}, {"ref": "olialutaieva/face-emotion-classification-with-mlp-3-lr", "kernel_id": "16333813"}, {"ref": "olialutaieva/face-emotion-classification-with-mlp-2-lr", "kernel_id": "16041200"}, {"ref": "gl1n0o/face-emotion-classification-with-mlp-cb016d", "kernel_id": "16333688"}, {"ref": "gl1n0o/face-emotion-classification-with-mlp-b989d0", "kernel_id": "16518261"}, {"ref": "gl1n0o/face-emotion-classification-with-mlp-d8b495", "kernel_id": "16556673"}, {"ref": "kyrylosokolov/face-emotion-classification-with-mlp-lab2-sokolov", "kernel_id": "16616062"}, {"ref": "kyrylosokolov/face-emotion-classification-with-mlp-lab3-sokolov", "kernel_id": "16616238"}, {"ref": "neoandree/320203306", "kernel_id": "16270324"}, {"ref": "haoshuaishuai/320203299", "kernel_id": "16285387"}, {"ref": "luozeyu/luozeyu-320203303", "kernel_id": "16288974"}, {"ref": "sergeymorgushin/lab-2-morgushin-sergey", "kernel_id": "16628655"}, {"ref": "sergeymorgushin/lab3-morgushin-sergey", "kernel_id": "16627183"}, {"ref": "pranjalrawat174/facial-expression-recognition", "kernel_id": "17097341"}, {"ref": "sahil33/imageclassification-facialexpression", "kernel_id": "17820740"}, {"ref": "sharadhaviswanathan/imageclassification-facialexpression", "kernel_id": "17755991"}, {"ref": "dencho143/face-emotion-classification-with-mlp-lab3", "kernel_id": "17019330"}, {"ref": "ksarvakar/facial-expression-eda-cnn-kjs", "kernel_id": "18190785"}, {"ref": "georrv/proyecto-final-machine-learning", "kernel_id": "18723419"}, {"ref": "vivekprajapati2048/face-expression-recognizer-efficientnetb2", "kernel_id": "18869727"}, {"ref": "anshalsingh/facial-expressions", "kernel_id": "18297066"}, {"ref": "baotramduong/facial-expression-recognition-with-cnn-grad-cam", "kernel_id": "20848693"}, {"ref": "allanyiin/facial-expression", "kernel_id": "21161254"}, {"ref": "allanyiin/facial-expression-revised2", "kernel_id": "21324291"}, {"ref": "bnzaretzky/bz-facial-recognition-v01", "kernel_id": "21768833"}, {"ref": "bnzaretzky/bz-facial-recognition-v02", "kernel_id": "21897172"}, {"ref": "bnzaretzky/bz-facial-recognition-eda", "kernel_id": "21792025"}, {"ref": "bnzaretzky/bz-facial-recognition-v03", "kernel_id": "21925545"}, {"ref": "bnzaretzky/bz-facial-recognition-v04", "kernel_id": "21926886"}, {"ref": "alexkali/aa-bz-sm-final-report", "kernel_id": "21431684"}, {"ref": "alexkali/best-model-test", "kernel_id": "21921667"}, {"ref": "alexkali/aa-facial-expression-recognition-submission-v02", "kernel_id": "21975113"}, {"ref": "alexkali/aa-facial-expression-recognition-v03", "kernel_id": "21990791"}, {"ref": "alexkali/aa-emotion-detection", "kernel_id": "21742713"}, {"ref": "saramanrriquez/aa-sm-bz-fer-week-1-training-v01", "kernel_id": "21834447"}, {"ref": "saramanrriquez/sm-facial-expression-recognition-submission-v01", "kernel_id": "21836505"}, {"ref": "saramanrriquez/sm-facial-expression-recognition-submission-v02", "kernel_id": "21954276"}, {"ref": "saramanrriquez/sm-facial-expression-recognition-v03", "kernel_id": "21942002"}, {"ref": "saramanrriquez/sm-facial-expression-recognition-v01", "kernel_id": "21765004"}, {"ref": "dhruvadha/notebook1e89dee79b", "kernel_id": "21651391"}, {"ref": "karenkao/fork-of-facial-expression", "kernel_id": "21617122"}, {"ref": "bnzaretzky/aa-sm-bz-final-model-evaluation", "kernel_id": "22750551"}, {"ref": "bnzaretzky/aa-sm-bz-facial-recognition-submission-v03", "kernel_id": "22120736"}, {"ref": "bnzaretzky/aa-sm-bz-facial-recognition-v03", "kernel_id": "22195150"}, {"ref": "bnzaretzky/bz-facial-recognition-v05", "kernel_id": "22096823"}, {"ref": "bnzaretzky/aa-sm-bz-fer-eda-v02", "kernel_id": "22474120"}, {"ref": "bnzaretzky/bz-facial-recognition-submission-ensemble", "kernel_id": "22361066"}, {"ref": "drcapa/facial-expression-telegram-bot", "kernel_id": "22553928"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-xception", "kernel_id": "22798550"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-eda", "kernel_id": "22798427"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-ensemble", "kernel_id": "22798706"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-vgg16", "kernel_id": "22798797"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-week-1", "kernel_id": "22798608"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-week-2", "kernel_id": "22798633"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-resnet50", "kernel_id": "22798841"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-evaluation", "kernel_id": "22798903"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-cam", "kernel_id": "22798907"}, {"ref": "robbiebeane/dsci-598-fa21-team-1-final-report", "kernel_id": "22797850"}, {"ref": "saramanrriquez/aa-sm-bz-fer-evaluation-v04", "kernel_id": "22389441"}, {"ref": "saramanrriquez/aa-sm-bz-fer-eda-v01", "kernel_id": "22360557"}, {"ref": "saramanrriquez/aa-sm-bz-fer-class-activation-maps-v01", "kernel_id": "22360573"}, {"ref": "saramanrriquez/sm-facial-expression-recognition-v05", "kernel_id": "22152184"}, {"ref": "saramanrriquez/sm-facial-expression-recognition-v06", "kernel_id": "22189007"}, {"ref": "saramanrriquez/sm-facial-expression-recognition-v04", "kernel_id": "22042862"}, {"ref": "fdmailden/kravchenko-ml-4", "kernel_id": "22618001"}, {"ref": "fdmailden/kravchenkoml-3-lr", "kernel_id": "22616604"}, {"ref": "fdmailden/kravchenkoml-2-lr", "kernel_id": "22553222"}, {"ref": "denmaslov/maslov-lab3", "kernel_id": "22589805"}, {"ref": "denmaslov/maslov-l3", "kernel_id": "22590073"}, {"ref": "denmaslov/maslov-lab4", "kernel_id": "22590414"}, {"ref": "denmaslov/maslov-lab2", "kernel_id": "22589325"}, {"ref": "ouattaraaboubacar/facial-expression-recognition", "kernel_id": "22078111"}, {"ref": "mananjain0220/facial-expressions", "kernel_id": "22470141"}, {"ref": "mananjain0220/my-code", "kernel_id": "22470166"}, {"ref": "ruchilprajapati/facial-expression-classification", "kernel_id": "22041069"}, {"ref": "mauriciohiro/visao-computacional", "kernel_id": "23451534"}, {"ref": "matheuslevy/ml-fer-using-densenet201", "kernel_id": "23925906"}, {"ref": "oknashar/facial-expressions", "kernel_id": "24272467"}, {"ref": "arushiagrawal/facial-expression", "kernel_id": "25939100"}, {"ref": "husambatarfi/facial-emotion-densenet201", "kernel_id": "25812797"}, {"ref": "o1anuraganand/collectferdatasetaugmented", "kernel_id": "25367500"}, {"ref": "ajayuser/emotion-detection-icml-face-data", "kernel_id": "26600542"}, {"ref": "iayushgupta/facial-expression-recognition", "kernel_id": "26764854"}, {"ref": "takeshiotani/facial-expression-recognition-challenge", "kernel_id": "26252396"}, {"ref": "ermishind/ermishin-nn-lab3", "kernel_id": "26388037"}, {"ref": "zlodey509/gluhov-nw-3", "kernel_id": "26739757"}, {"ref": "parmardev/irs-term", "kernel_id": "26068132"}, {"ref": "karanarjunjr/miniproject", "kernel_id": "26740647"}, {"ref": "hywnhanna/torchvision2numpy", "kernel_id": "27106331"}, {"ref": "anjalisharma123/facial-expression-recognization-using-xai", "kernel_id": "27442640"}, {"ref": "naotsuga/notebookce06664a18", "kernel_id": "28204331"}, {"ref": "tusharsenghani/deep-emotion-model", "kernel_id": "28768885"}, {"ref": "hagernasser/facial-expression-recognition", "kernel_id": "29518068"}, {"ref": "ahmedatefazzam/facial-expression-recognition", "kernel_id": "29513166"}, {"ref": "jefffossi/week3-fossi-custom-cnn-v2", "kernel_id": "31906390"}, {"ref": "jefffossi/week3-fossi", "kernel_id": "31870213"}, {"ref": "liuxiahui/fer-cut", "kernel_id": "31995435"}, {"ref": "malcolmnichols/mn-facial-expression-recognition-v01", "kernel_id": "31872448"}, {"ref": "ikbalkrdl/emotion-detect", "kernel_id": "31799996"}, {"ref": "samsonbezu/week4-fer-tl-and-augmentation-fossi", "kernel_id": "31911383"}, {"ref": "camlauf98/cl-fer-week5", "kernel_id": "32444755"}, {"ref": "camlauf98/cl-fer-week5-submission", "kernel_id": "32472637"}, {"ref": "camlauf98/cl-week5-resnet50", "kernel_id": "32501307"}, {"ref": "camlauf98/cl-facial-expression-submission", "kernel_id": "32039383"}, {"ref": "pawebiegun/facial-representation", "kernel_id": "32474527"}, {"ref": "jefffossi/week6-team1-ensemble-fossi", "kernel_id": "32704785"}, {"ref": "jefffossi/84-week5-team1-ensemble", "kernel_id": "32712708"}, {"ref": "jefffossi/week-7-wk3cnn-xception-models", "kernel_id": "32805915"}, {"ref": "jefffossi/fer-maxvote-v01", "kernel_id": "32877822"}, {"ref": "jefffossi/fer-v03-03a177", "kernel_id": "32852751"}, {"ref": "jefffossi/fer-v07", "kernel_id": "32856476"}, {"ref": "jefffossi/week-5-fossi-683", "kernel_id": "32301045"}, {"ref": "jefffossi/fer-v04", "kernel_id": "32365569"}, {"ref": "jefffossi/oversample", "kernel_id": "32401520"}, {"ref": "jefffossi/fer-v06", "kernel_id": "32534167"}, {"ref": "jefffossi/cl-week3-facial-expression", "kernel_id": "32532089"}, {"ref": "jefffossi/cl-week5-resnet50", "kernel_id": "32505385"}, {"ref": "jefffossi/customcnn-fossi", "kernel_id": "32477447"}, {"ref": "jefffossi/oversample2", "kernel_id": "32434164"}, {"ref": "jefffossi/xception-fossi", "kernel_id": "32444496"}, {"ref": "jefffossi/week5-team1-ensemble", "kernel_id": "32470088"}, {"ref": "jefffossi/fer-v03", "kernel_id": "32239197"}, {"ref": "jefffossi/week-4-icml", "kernel_id": "32205630"}, {"ref": "jefffossi/65-with-conf-matrix-and-cr", "kernel_id": "32105359"}, {"ref": "jefffossi/week3-fossi-pretrained-vgg16-v1", "kernel_id": "32007856"}, {"ref": "malcolmnichols/fer-vgg19-test-submission", "kernel_id": "32417477"}, {"ref": "malcolmnichols/fer-v06", "kernel_id": "32413817"}, {"ref": "malcolmnichols/fer-v06-test-submission", "kernel_id": "32415406"}, {"ref": "malcolmnichols/fer-v04-2", "kernel_id": "32403701"}, {"ref": "malcolmnichols/fer-transfer-learning-v02", "kernel_id": "32299094"}, {"ref": "malcolmnichols/fer-ensemble", "kernel_id": "32171740"}, {"ref": "malcolmnichols/group1-facial-expression-submission", "kernel_id": "32137836"}, {"ref": "malcolmnichols/fer-v04", "kernel_id": "32224848"}, {"ref": "malcolmnichols/mn-fer-eda", "kernel_id": "32042280"}, {"ref": "malcolmnichols/fer-v02", "kernel_id": "32098383"}, {"ref": "malcolmnichols/fer-size-increase-v01", "kernel_id": "32775836"}, {"ref": "malcolmnichols/fer-meta-model", "kernel_id": "32861819"}, {"ref": "simonlmu/facial-expression-eda-cnn", "kernel_id": "32979142"}, {"ref": "rimjhimsingh2001/facial-expression-eda-cnn", "kernel_id": "32573460"}, {"ref": "samsonbezu/fer-with-vgg-16-and-vgg-19", "kernel_id": "32511317"}, {"ref": "samsonbezu/xception-fossi", "kernel_id": "32449531"}, {"ref": "samsonbezu/fer-vgg16-v1-submission", "kernel_id": "32748129"}, {"ref": "kevin0jung/9444-project-hders", "kernel_id": "32345650"}, {"ref": "starkark31/fer-net", "kernel_id": "33301395"}, {"ref": "tunnguynquang/facial-expression-recognition-vgg16-v1", "kernel_id": "33592797"}, {"ref": "poojita2305/facial-emotion-recognition-using-cnn", "kernel_id": "33418827"}, {"ref": "jawherjabri/emotion-recognition", "kernel_id": "34141915"}, {"ref": "onurkerimoglu/facial-expression-recognition-transfer-learning", "kernel_id": "34341202"}, {"ref": "adityabangar/fer-adityavb-raghavs", "kernel_id": "34754756"}, {"ref": "abdrahmenbelkhiria/facial-expression-recognition", "kernel_id": "34214835"}, {"ref": "nikitanazarov31/face-rec", "kernel_id": "35410202"}, {"ref": "sunkarasurajnitap/notebook3dab0d165c", "kernel_id": "35502197"}, {"ref": "shadowdk/facial-expressions-detection-fer-2013", "kernel_id": "36751317"}, {"ref": "rutvijjoshi123/facial-expression-recognition", "kernel_id": "36379124"}, {"ref": "wensheng10/facial-expression-recognition-aa3575", "kernel_id": "36723174"}, {"ref": "swarnenduml08/fer-size-increase-v01-42bd62", "kernel_id": "36054078"}, {"ref": "maximshelby/face-emotion-classification-with-mlp", "kernel_id": "36136477"}, {"ref": "rutvijjoshi123/facial-expressions-detection", "kernel_id": "37434832"}, {"ref": "arthurmatsidonskiy/face-emotion-classification-with-mlp", "kernel_id": "37016985"}, {"ref": "slawagrechaniy/grechaniy-laba2", "kernel_id": "37547909"}, {"ref": "olegbw/face-emotion-classification-with-mlp", "kernel_id": "37403246"}, {"ref": "rajveer174/8th-sem", "kernel_id": "37038993"}, {"ref": "ivangavrish/face-emotion-classification-with-mlp", "kernel_id": "37459976"}, {"ref": "worldspam/lab2-face-emotion-classification-with-mlp", "kernel_id": "37706161"}, {"ref": "honigwein/lab-2", "kernel_id": "37974500"}, {"ref": "ellandhulaavinash/fer-vgg16", "kernel_id": "37906470"}, {"ref": "ellandhulaavinash/fer2013-resnet50", "kernel_id": "37531688"}, {"ref": "natapat/deliverable-fervt", "kernel_id": "37088510"}, {"ref": "genazpua/face-emotion-classification", "kernel_id": "37388908"}, {"ref": "ilyasavchenko/face-emotion-classification-with-mlp", "kernel_id": "37172112"}, {"ref": "arhont/face-emotion-classification-with-mlp", "kernel_id": "37381065"}, {"ref": "bogdankovbasa/lab2-kovbasa", "kernel_id": "37954067"}, {"ref": "qnsiyu/model3", "kernel_id": "38763011"}, {"ref": "alekseyantonov/neironni-antonov-lab2", "kernel_id": "38860753"}, {"ref": "cabna228/face-emotion-classification-with-mlp", "kernel_id": "38324540"}, {"ref": "jacks53465835/2-lab", "kernel_id": "38706831"}, {"ref": "jacks53465835/labs-2", "kernel_id": "38317200"}, {"ref": "fdddddfs/lab-2", "kernel_id": "38759162"}, {"ref": "vladkabanov/kabanov-laba2", "kernel_id": "38374717"}, {"ref": "ivankozlovsky/face-emotion-classification-with-mlp", "kernel_id": "38017479"}, {"ref": "dianamiroshnyk/face-emotion-classification-with-mlp", "kernel_id": "38660156"}, {"ref": "arafat75/facial-emotion-recognition-using-cnn", "kernel_id": "38498104"}, {"ref": "dragonlastone/laba2-ben", "kernel_id": "38129055"}, {"ref": "olenapypko/lab2-face-emotion-classification-with-mlp", "kernel_id": "38204172"}, {"ref": "sofiamatiukha/face-emotion-classification-with-mlp", "kernel_id": "38237011"}, {"ref": "uuppoo/neunet2", "kernel_id": "38701589"}, {"ref": "daniilpastuhov/lab-2", "kernel_id": "38603876"}, {"ref": "yevheniirybas/lab-2", "kernel_id": "38661645"}, {"ref": "danilovdanil/lab-2", "kernel_id": "38731210"}, {"ref": "ivansalov21/salov-lab2", "kernel_id": "38735665"}, {"ref": "muradicus/murad-laba2", "kernel_id": "38753003"}, {"ref": "yurastoun/face-emotion-classification-with-mlp", "kernel_id": "39254454"}, {"ref": "moonangel007/notebookf095aa63f7", "kernel_id": "39312300"}, {"ref": "dima46456/notebook404d80d791", "kernel_id": "39747015"}, {"ref": "kentausui/notebook88185d8ba3", "kernel_id": "40929986"}, {"ref": "feelin90210/svyrydenko-vasyl-l2", "kernel_id": "40290785"}, {"ref": "tiarara/notebook0afbe3d8a1", "kernel_id": "41414416"}, {"ref": "yutaarn/datescience", "kernel_id": "41484977"}, {"ref": "yutaarn/notebook7694590ae9", "kernel_id": "41294898"}, {"ref": "taimatsu6446/notebook88185d8ba3", "kernel_id": "41516922"}, {"ref": "motoikow/notebook91e61a5713", "kernel_id": "41523348"}, {"ref": "somasekhar12/facerecog", "kernel_id": "42493742"}, {"ref": "miladaghalari/boosting-emotion-ai-accuracy", "kernel_id": "42056248"}, {"ref": "ujjwalkar/facial-emotion-detection-using-patt-lite-model", "kernel_id": "43762699"}, {"ref": "matthewratterree/facial-expression-eda-cnn", "kernel_id": "45952719"}, {"ref": "ngotrisi/facial-expression", "kernel_id": "45750056"}, {"ref": "garrettrivers31/data-loaded-face-recognition", "kernel_id": "45953487"}, {"ref": "matthewratterree/facial-expression-recognition", "kernel_id": "46108404"}, {"ref": "ahmedmahmoud16/facial-expression-recognition-with-logistic", "kernel_id": "48210126"}, {"ref": "parasmahour/renset50-final", "kernel_id": "48907539"}, {"ref": "michalmarusinski/challenge-facial-expression-recognition-via-cnns", "kernel_id": "49417175"}, {"ref": "ashutosh3977/facial-expression-recognition-with-logistic", "kernel_id": "49437943"}, {"ref": "stigi322/karpenko-lab2nn", "kernel_id": "50891384"}, {"ref": "rohhnd/fer-2013", "kernel_id": "51813201"}, {"ref": "brahmin01/facial-expression-recognition-with-logistic", "kernel_id": "51638620"}, {"ref": "sujithkumarbayireddy/notebook1b9db427d5", "kernel_id": "51091492"}, {"ref": "louskil/bikulov-lab2", "kernel_id": "51078992"}, {"ref": "sujithkumarbayireddy/facial-expression-recognition-sujith", "kernel_id": "52060455"}, {"ref": "olegwww/face-emotion-classification-with-mlp-lab2", "kernel_id": "52025988"}, {"ref": "ellbeh/transferlearning-mobilenetv2-84-34-accuracy-colab", "kernel_id": "52227294"}, {"ref": "mushket1/face-emotion-classification-with-mlp-lab2", "kernel_id": "52489450"}, {"ref": "ayshamohammedasif/sh-fer-competition", "kernel_id": "53428718"}, {"ref": "dasanbob/residual-cbam-resnet-project", "kernel_id": "53204658"}, {"ref": "devibolla/final2", "kernel_id": "53465626"}, {"ref": "devibolla/update", "kernel_id": "53303913"}, {"ref": "misterelias/face-emotion-classification-with-mlp", "kernel_id": "53675248"}, {"ref": "grishanovnn/grishanovnnlab2", "kernel_id": "53763290"}, {"ref": "dmitrokondratenko/kondratenko-lab2", "kernel_id": "53071631"}, {"ref": "symphonyh/fer-competition", "kernel_id": "54991465"}, {"ref": "ayshamohammedasif/fer-da-w-svc", "kernel_id": "54599108"}, {"ref": "zarubinartem/face-emotion-classification-with-mlp", "kernel_id": "54300708"}, {"ref": "artemmishchenko/nnlab2-mishchenko", "kernel_id": "54158260"}, {"ref": "maksymmmmm01/face-emotion-classification-with-mlp", "kernel_id": "54369902"}, {"ref": "symphonyh/fer-hyperparameter-tuning", "kernel_id": "55240242"}, {"ref": "symphonyh/fer-model-selection", "kernel_id": "55234104"}, {"ref": "symphonyh/fer-summary-report", "kernel_id": "55112186"}, {"ref": "mh0386/active-learning-with-deep-learning-in-fer2013", "kernel_id": "56021601"}, {"ref": "seymurqribov/facial-recognition-and-text-generation", "kernel_id": "57490744"}, {"ref": "hexronus/facial-image-recognition-iitj", "kernel_id": "58051093"}, {"ref": "iambestfeed/train-py-large", "kernel_id": "59565448"}, {"ref": "iambestfeed1/train-py-small", "kernel_id": "59427727"}, {"ref": "iambestfeed1/train-py", "kernel_id": "59427469"}, {"ref": "iambestfeed1/train-py-base", "kernel_id": "59462942"}, {"ref": "hikmetdevlet/13-facial-expression-recognition", "kernel_id": "60900627"}, {"ref": "ahmedkhubaib/15-facial-expression-recognition", "kernel_id": "61437875"}, {"ref": "mustafamu/a-novel-muwnet-model-acc-70-72-for-fer", "kernel_id": "61156461"}, {"ref": "punfake/train-py-large", "kernel_id": "62623732"}, {"ref": "nazar4633/lab-2", "kernel_id": "64935180"}, {"ref": "thedrunkwolf21/pakhotalab2nn", "kernel_id": "64289639"}, {"ref": "thienbao1909/facial-expression-recognition-imbalance-data", "kernel_id": "66212856"}, {"ref": "aaronmanley/capstone", "kernel_id": "70930684"}, {"ref": "limilin/xuexl", "kernel_id": "70140460"}, {"ref": "alexokseschenko/lab-2", "kernel_id": "70593893"}, {"ref": "aaronmanley/capstone-final", "kernel_id": "72915328"}, {"ref": "dingggggg/emotion-fer2013-new-label-using-resnet", "kernel_id": "74865830"}, {"ref": "kassadiallo/cnn-emotion-classifier", "kernel_id": "76907535"}, {"ref": "thirawutyotbun/challenges-in-representation-learning-facial-expre", "kernel_id": "77346070"}, {"ref": "overstarjalmazmo/facial-emotion-recognition-using-cnn", "kernel_id": "77802695"}, {"ref": "karthisreesugumar/facial-expression-eda-cnn", "kernel_id": "79435518"}, {"ref": "kipshidze/facial-expressions", "kernel_id": "80286631"}, {"ref": "mohamedelsadek44/emotion", "kernel_id": "81609922"}, {"ref": "artemsheptunov/fer-face-cnn", "kernel_id": "81378148"}, {"ref": "faheem113141/facial-expresshion", "kernel_id": "82291711"}, {"ref": "adityabayhaqie/emotion-detection-fer13", "kernel_id": "82861633"}, {"ref": "hindvamhealthcare/emotion-classification-and-generation", "kernel_id": "82959399"}, {"ref": "zok213/facial-expression-recognition-with-hog", "kernel_id": "83700639"}, {"ref": "adityabayhaqie/fer2013-vggnet", "kernel_id": "85680689"}, {"ref": "mistaluai/fer-data-module", "kernel_id": "87473685"}, {"ref": "mistaluai/pretrained-fer-data-module", "kernel_id": "87486933"}, {"ref": "andrewtjames/james-andrew-facial-recognition", "kernel_id": "87495281"}, {"ref": "cheriecochran/cc-facial-expression", "kernel_id": "87243288"}, {"ref": "cheriecochran/cc-fer-w4", "kernel_id": "87916176"}, {"ref": "mostafabahaa25/fer-resnet18v1-mu", "kernel_id": "87487645"}, {"ref": "mostafabahaa25/pretrained-fer-data-module-excluding-fear-cleaned", "kernel_id": "87713721"}, {"ref": "trnhquangminh140/nh-m-2-nh-n-di-n-c-m-x-c-khu-n-m-t-cnn", "kernel_id": "87942654"}, {"ref": "biniameephrem/fr-prj-1", "kernel_id": "87750603"}, {"ref": "derickndzi/dn-emotion-detection", "kernel_id": "87480384"}, {"ref": "ziadnasser2/pretrained-fer-data-module-excluding-fear", "kernel_id": "87515910"}, {"ref": "ziadnasser2/fer-v2", "kernel_id": "87486677"}, {"ref": "shairaiali/fer-for-mental-health-recognition", "kernel_id": "88969645"}, {"ref": "dannakrayem/facial-recognition-project-draft-1", "kernel_id": "88070747"}, {"ref": "biniameephrem/fr-prj-1-submission", "kernel_id": "88188929"}, {"ref": "cheriecochran/cc-fer-final", "kernel_id": "89913843"}, {"ref": "cheriecochran/cc-fer-summary-report", "kernel_id": "89919581"}, {"ref": "serhiichyrva/face-emotion-classification-with-mlp", "kernel_id": "89867492"}, {"ref": "denishclarke/emotion-recognition-using-the-vision-transformer", "kernel_id": "90109816"}, {"ref": "w0ns0nd/lab-2", "kernel_id": "90238934"}, {"ref": "shairaiali/mdd-using-vit", "kernel_id": "96067376"}, {"ref": "nguyentrhoan/nh-n-di-n-c-m-x-c-khu-n-m-t-cnn", "kernel_id": "96333721"}, {"ref": "mackenziebristow/mb-fer-13-data-exploration", "kernel_id": "97782396"}, {"ref": "mackenziebristow/mb-fer-13-modeling", "kernel_id": "99871707"}, {"ref": "faheem113141/facial-expresshion-cnn", "kernel_id": "101480133"}, {"ref": "omkarthite18/fer2013-simplecnn", "kernel_id": "103823233"}, {"ref": "jyostnadevibodapati/fer-publication-convnxt", "kernel_id": "109033965"}, {"ref": "sen231/lab2-selyavin", "kernel_id": "111676016"}, {"ref": "lapenk0/lab2-image-processing-emotion-classification", "kernel_id": "114884529"}, {"ref": "artemmishchenko/lab2-mishchenko", "kernel_id": "115535625"}, {"ref": "navneet0094/fer2013-cnn-pretrained", "kernel_id": "118351967"}, {"ref": "matimilkessa/comparing-ml-techniques-for-emotion-recognition", "kernel_id": "118849880"}, {"ref": "danil612131/lab2-networks", "kernel_id": "121996766"}, {"ref": "artemmishchenko/lab4-mishchenko", "kernel_id": "122050744"}, {"ref": "artemmishchenko/idz-mishchenko", "kernel_id": "122142854"}, {"ref": "shilovars/notebook6d6aa9a7e0", "kernel_id": "122378245"}, {"ref": "jimmyedward2/je-facial-expression-recognition-v01", "kernel_id": "129392475"}, {"ref": "levabublik/2-cnn", "kernel_id": "132339710"}, {"ref": "yousuffahim/facial-emotion-recognition-using-cnn", "kernel_id": "135085111"}]}
{"competition_id": "3366", "kernels": [{"ref": "adrian1acoran/1-learn-pi-3-1415926535897932-b144dd", "kernel_id": "1993701"}]}
{"competition_id": "3370", "kernels": []}
{"competition_id": "3377", "kernels": []}
{"competition_id": "3384", "kernels": []}
{"competition_id": "3385", "kernels": []}
{"competition_id": "3386", "kernels": []}
{"competition_id": "3403", "kernels": []}
{"competition_id": "3412", "kernels": [{"ref": "irinana/spam-detection-strata2013after-party", "kernel_id": "12976972"}, {"ref": "nikosavgeros/classification-using-machine-and-deep-learning", "kernel_id": "23593904"}, {"ref": "pythonkumar/xgboost-feat-imp-acc-93", "kernel_id": "26879078"}, {"ref": "meln1337/just-the-basics-notebook", "kernel_id": "29202194"}, {"ref": "satoru90/spam-detector-classification", "kernel_id": "33501464"}, {"ref": "halilbrahimblge/strata-2013-after-party", "kernel_id": "36878217"}, {"ref": "arnaudpoudrai/spam-afterparty", "kernel_id": "40820792"}, {"ref": "yakinoki/xgbclassifier-optuna", "kernel_id": "42628314"}, {"ref": "mariam1111111/spam-classification", "kernel_id": "42123758"}, {"ref": "mdismielhossenabir/strata-2013-after-party", "kernel_id": "49063723"}, {"ref": "tienweihsu/just-the-basics", "kernel_id": "54267625"}, {"ref": "cardata/strata-2013-data-analysis", "kernel_id": "56603159"}, {"ref": "osmansevili/just-basic-after-party", "kernel_id": "96275025"}, {"ref": "gamzebabayigit/justbasicafterparty", "kernel_id": "102277566"}, {"ref": "gamzebabayigit/basicafterparty", "kernel_id": "103094916"}]}
{"competition_id": "3428", "kernels": [{"ref": "ruchibahl18/neural-network-version", "kernel_id": "2623913"}, {"ref": "muskanagrawal/my-first-kernel", "kernel_id": "2449525"}, {"ref": "intu290/classifer-london-scikit", "kernel_id": "2509490"}, {"ref": "aman9d/data-science-london-scikit", "kernel_id": "2233841"}, {"ref": "aru949/kernel620b3e680a", "kernel_id": "2460090"}, {"ref": "ironmatt0327/data-science-london-scikit-randomforest", "kernel_id": "2993422"}, {"ref": "chahat1/data-science-london-classification", "kernel_id": "3080364"}, {"ref": "arturotarin/data-science-london-by-arturo-tarin", "kernel_id": "3571978"}, {"ref": "rishikoush/predicting-best-among-knn-dt-lr-svc-rf-mlp", "kernel_id": "3149297"}, {"ref": "lxdnz254/d-s-l-scikit-w-neural-network-test", "kernel_id": "3180963"}, {"ref": "kumaml/kuma-data-science-london", "kernel_id": "3797255"}, {"ref": "zhudongxiao/gaussian-mixture-cluster-classifier", "kernel_id": "4745831"}, {"ref": "rakeshvd/scikit-kearn-knn-classification", "kernel_id": "4009508"}, {"ref": "sabahkarim/ds-tutorial-pca-gussian-mixture-grid-search", "kernel_id": "5702386"}, {"ref": "pranaymns/datascience-london-sklearn-rfc-svm", "kernel_id": "6276986"}, {"ref": "bo7311/data-science-london-scikit-rfclf", "kernel_id": "6286130"}, {"ref": "ftamur/scikit-learn", "kernel_id": "7870466"}, {"ref": "g3rnosh/data-science-london-rf-classifier", "kernel_id": "7691597"}, {"ref": "usingstuding/data-science-london", "kernel_id": "7527272"}, {"ref": "hanhdao123/data-science-london", "kernel_id": "7960213"}, {"ref": "spanda2/data-science-london-scikit", "kernel_id": "7963569"}, {"ref": "gracebao1/data-science-london-scikit", "kernel_id": "8212993"}, {"ref": "sleepybatman42/kernel55ab2c311f", "kernel_id": "8035644"}, {"ref": "noobuser99/1-log-reg-sklearn", "kernel_id": "8814089"}, {"ref": "paulorenatocastro/data-science-london-1", "kernel_id": "8037640"}, {"ref": "spanda2/data-science-london-scikit-2", "kernel_id": "8212933"}, {"ref": "nehabhandari1/london-data-science-02", "kernel_id": "8023438"}, {"ref": "nehabhandari1/london-data-science-03", "kernel_id": "8244676"}, {"ref": "siddhantjain15/data-science-london", "kernel_id": "9241235"}, {"ref": "icurve/datasciencelondon", "kernel_id": "9869998"}, {"ref": "gsethi2409/compare-performance-metrics-dt-knn-svc-rf-mlp", "kernel_id": "10996451"}, {"ref": "abdelwahed43/data-science-london-classification", "kernel_id": "10744743"}, {"ref": "alexlichtenberg/scikit-learn-getting-started", "kernel_id": "10292296"}, {"ref": "mmohamedmaged/data-science-london-scikit", "kernel_id": "10744353"}, {"ref": "vsevicky/data-science-london-scikit-learn", "kernel_id": "11491571"}, {"ref": "annachu/scikit-learn-getting-started", "kernel_id": "11663017"}, {"ref": "vigneshprakash/data-science-london-scikit-learn-modeling", "kernel_id": "11913284"}, {"ref": "julienmihai/data-science-london-classification", "kernel_id": "11853878"}, {"ref": "aliwagdy/data-science-london-with-sklearn", "kernel_id": "11749926"}, {"ref": "shashankrajput9/data-science-london-scikit-learn", "kernel_id": "11842333"}, {"ref": "cnliang/notebooka3caded0ba", "kernel_id": "11347459"}, {"ref": "etoile33/kaggle01", "kernel_id": "12368162"}, {"ref": "rizkioktafianto/london-sklearn-using-xgboost-fine-tuned", "kernel_id": "12294938"}, {"ref": "ahmedmurad1990/data-science-london-scikit-learn", "kernel_id": "12067370"}, {"ref": "lingyuxiong/randomforest-top-4", "kernel_id": "12279656"}, {"ref": "priyanshu173/festera", "kernel_id": "12053545"}, {"ref": "bhagwati/data-science-london", "kernel_id": "13697742"}, {"ref": "sodisaada/data-science-london", "kernel_id": "14387694"}, {"ref": "lucifer0101786/hyper-parameter-tuning", "kernel_id": "14949866"}, {"ref": "vivianchen60635/notebook376bdcb961", "kernel_id": "15501976"}, {"ref": "abdallamahmoudamin/notebook10bd387375", "kernel_id": "15498251"}, {"ref": "ahmedeladly/london-data", "kernel_id": "16402014"}, {"ref": "badiaamakhlouf/london-data-classification", "kernel_id": "17934643"}, {"ref": "anvithaaravinda/understand-different-classifiers-better", "kernel_id": "17918267"}, {"ref": "mohamedahmedae/data-science-london-scikit-learn-practice", "kernel_id": "18809642"}, {"ref": "soojinleebliss/data-science-london-scikit-cv", "kernel_id": "18858656"}, {"ref": "shefalishettyy/logistic-competition", "kernel_id": "18944089"}, {"ref": "konnyaku1234/notebookf67479a4d8", "kernel_id": "18235171"}, {"ref": "santhiyar/data-science-london", "kernel_id": "19935572"}, {"ref": "kasatkinvl/ds-london-sklearn-baseline-scaling-pca-gmm", "kernel_id": "19527820"}, {"ref": "muhamdsalem/data-science-london-scikit", "kernel_id": "20717836"}, {"ref": "thbalaji/day-20", "kernel_id": "20340267"}, {"ref": "aarthi76/data-science-london-scikit-le", "kernel_id": "20306857"}, {"ref": "arti1117/data-science-london", "kernel_id": "21467024"}, {"ref": "azadehizadi/data-science-london", "kernel_id": "21250740"}, {"ref": "ahmedabdelmonim/data-science-london", "kernel_id": "21224054"}, {"ref": "abdelrahmankhalil/data-science-london-scikit-learn", "kernel_id": "22337558"}, {"ref": "selmanaka/datasciencelondon-simpleintro", "kernel_id": "23523602"}, {"ref": "alexbuz/ds-london-explaining-gaussianmixture-preprocessing", "kernel_id": "24885588"}, {"ref": "plasticglass/data-science-london-scikit-learn", "kernel_id": "24986466"}, {"ref": "bjasma/data-science-london-scikit-learn", "kernel_id": "24561148"}, {"ref": "youssef2020/data-science-london", "kernel_id": "25119490"}, {"ref": "rocklen/data-science-london-scikit-learn", "kernel_id": "25825603"}, {"ref": "shreyasharma5/beginners-code-data-science-london-scikit-learn", "kernel_id": "25050632"}, {"ref": "pythonkumar/many-plots-eda-xgb-acc-92", "kernel_id": "26781861"}, {"ref": "zhengkunzhang/simple-gaussian-lgbm-data-science-london", "kernel_id": "27112060"}, {"ref": "hainescity/data-science-london-pycaret-pt-br", "kernel_id": "28906656"}, {"ref": "orangecatman/scikit-learn-data-science-lon-william", "kernel_id": "28017479"}, {"ref": "abdelrhamanfakhry/data-visualization-preprocessing-gridsearchcv", "kernel_id": "28469067"}, {"ref": "ziadhamadafathy/using-some-models-in-classification-accuracy-95", "kernel_id": "28266869"}, {"ref": "jiaowoguanren/data-science-london-flaml-tf-sklearn", "kernel_id": "28444208"}, {"ref": "yagli18/data-science-london-scikit-learn", "kernel_id": "29760893"}, {"ref": "ohmammamia/nbayes-logreg-knn-rforest-svm-xgboost", "kernel_id": "29879258"}, {"ref": "aasthavashist/london-data-set", "kernel_id": "29663140"}, {"ref": "sakuraiizumi/pycaret-for-begginers-with-minimum-codes", "kernel_id": "29812876"}, {"ref": "abdorabie/compared-ml-models-of-data-london", "kernel_id": "30218863"}, {"ref": "amsamms/sklearn-competition", "kernel_id": "30201233"}, {"ref": "shubhamchand51/ml-data-science-london-scikit-learn", "kernel_id": "30265640"}, {"ref": "kaushalkrishna2000/london-scikit-learn", "kernel_id": "33256139"}, {"ref": "ahmedgadoo/thanks-sklearn-outliers-rescaling-pca-and-more", "kernel_id": "33068198"}, {"ref": "ahmedashrafahmed/data-science-london-scikit-learn", "kernel_id": "33095740"}, {"ref": "shivijaiswal/data-science-being", "kernel_id": "34943512"}, {"ref": "justinchae1234656/london-sucks", "kernel_id": "34189584"}, {"ref": "egorprokopov/data-preprocessing-and-some-sklearn-models", "kernel_id": "34806527"}, {"ref": "abocadobaby/knn-algorithm-accuracy-89-7", "kernel_id": "34974438"}, {"ref": "andreerichsen/london-for-beginners", "kernel_id": "34817298"}, {"ref": "charunumesh/data-science-london-scikit-learn", "kernel_id": "35506613"}, {"ref": "akankshalokhande/data-science-london-scikit-learn", "kernel_id": "35280558"}, {"ref": "ruchirajangam/first-try", "kernel_id": "35062656"}, {"ref": "mahmoudftolba/data-science-london-using-pipeline", "kernel_id": "36185785"}, {"ref": "halilbrahimblge/scikit-london", "kernel_id": "36834519"}, {"ref": "abdelrahmanmosbah/data-science-london-scikit-learn", "kernel_id": "37694438"}, {"ref": "s528661/s528661-dslsl", "kernel_id": "37384672"}, {"ref": "manapoker1/data-science-london-scikit-learn", "kernel_id": "38792156"}, {"ref": "mohamedelhawary0/data-science-london-scikit", "kernel_id": "40247950"}, {"ref": "amroaskar/data-science-london-scikit-learn", "kernel_id": "41397052"}, {"ref": "noureddineh/ds-london-comp-x", "kernel_id": "41023404"}, {"ref": "pascalebouchier/data-science-london-scikit-learn", "kernel_id": "41650614"}, {"ref": "andreneves1006/regress-o-log-stica-com-dados-n-o-tratados", "kernel_id": "41667681"}, {"ref": "yakinoki/data-science-london-scikit-learn", "kernel_id": "42590835"}, {"ref": "ahmedali6102001/data-science-london-with-python", "kernel_id": "42922094"}, {"ref": "pranavmaheshwari2603/data-science-london", "kernel_id": "42655313"}, {"ref": "niloofareshghi/classification-with-scikit-learn", "kernel_id": "43269489"}, {"ref": "many37/data-science-london-scikit-learn", "kernel_id": "43898105"}, {"ref": "alicenkbaytop/scikit-learn-gaussian-mixture-gridsearch-stacking", "kernel_id": "45159445"}, {"ref": "laught3/play-with-sklearn-data-science-london", "kernel_id": "45213037"}, {"ref": "davidemad01/comp-04-london", "kernel_id": "45855465"}, {"ref": "radhakrishnanb/sklearn-knowledge-competition", "kernel_id": "46443178"}, {"ref": "mdismielhossenabir/datasciencelondonandscikitlearn", "kernel_id": "46762794"}, {"ref": "nursultankurmanbekov/data-science-london-scikit-learn", "kernel_id": "48944137"}, {"ref": "cuneyterem8/notebookc393da8c51", "kernel_id": "49110346"}, {"ref": "nilanjandebnath/data-science-london-scikit-learn", "kernel_id": "49467425"}, {"ref": "yashasgarg/ds-london-scikit-learn", "kernel_id": "50686831"}, {"ref": "aadityavardhan/stacking-lgbm-cb-xg-and-rf", "kernel_id": "50739450"}, {"ref": "somya2115/ds-london-sci-kit-learn", "kernel_id": "50700673"}, {"ref": "simarjitkaur123/london", "kernel_id": "50523858"}, {"ref": "iyasha/data-science-london-scikit-learn", "kernel_id": "50712569"}, {"ref": "kunal025/data-science-london-scikit-learn", "kernel_id": "50753723"}, {"ref": "mayankgupta9/notebook548080f285", "kernel_id": "51037904"}, {"ref": "gigyeyuyewon/week1-yewon", "kernel_id": "53878694"}, {"ref": "gigyeyuyewon/week1-yewon-copy", "kernel_id": "54276492"}, {"ref": "sardorwwe/data-science-london-scikit-learn-model", "kernel_id": "56830250"}, {"ref": "abdullatifkaban/data-science-london-scikit-learn", "kernel_id": "58191589"}, {"ref": "jamessuryaputra/london-launch", "kernel_id": "59929164"}, {"ref": "gusbcz/scikit-learn-tests", "kernel_id": "59433488"}, {"ref": "alexsandroj/data-science-london-scikit-learn-classifier-models", "kernel_id": "60243527"}, {"ref": "daniyaakhmedova/akhmedovad-all5models-london-ipynb", "kernel_id": "60363947"}, {"ref": "petrkozyrev/data-science-london", "kernel_id": "62307132"}, {"ref": "aidaabd96/data-alchemy", "kernel_id": "63140124"}, {"ref": "khaledashrafm3wad/data-science-london", "kernel_id": "64148752"}, {"ref": "boubkerbennani/notebook", "kernel_id": "64825833"}, {"ref": "safia08/end-to-end-machine-learning-pipeline", "kernel_id": "65997689"}, {"ref": "mekhaelsafwat/london-classification", "kernel_id": "66286037"}, {"ref": "shreyasur965/ds-london-sk-learn", "kernel_id": "66543277"}, {"ref": "jim0102/data-science-london-scikit-learn", "kernel_id": "67766924"}, {"ref": "divaprasetyo/kelompok-8", "kernel_id": "67901050"}, {"ref": "maramkhalid67/knn-london", "kernel_id": "67208246"}, {"ref": "shrutiitp78/notebook39017a07f2", "kernel_id": "72332599"}, {"ref": "architty108/data-science-london", "kernel_id": "72083930"}, {"ref": "norrecklang/norreck-s-solutions", "kernel_id": "72712372"}, {"ref": "stealthknight/notebook2514e3c7ce", "kernel_id": "73619846"}, {"ref": "shreysharma07/datascience-london", "kernel_id": "73307753"}, {"ref": "jaysurender/data-science-london-scikit-ipynb", "kernel_id": "74302880"}, {"ref": "jaysurender/notebook1c1a04a6bf", "kernel_id": "74303108"}, {"ref": "serhiiyanovskii1/sol-100", "kernel_id": "75580154"}, {"ref": "kashishtandon4876/classification", "kernel_id": "75293890"}, {"ref": "shaunkoay/london", "kernel_id": "76948687"}, {"ref": "artemsakovich/ds-london-classification", "kernel_id": "76052612"}, {"ref": "mdonnye/london-binary-clf-xgboost-gridsearch", "kernel_id": "80665142"}, {"ref": "iemanihsan/data-science-london-scikit-learn", "kernel_id": "82045860"}, {"ref": "luizgfrancisco/london-minera-o", "kernel_id": "82563478"}, {"ref": "yvgeniylavrenyuk/knn-data-science-london-scikit-learn-88-5", "kernel_id": "84917682"}, {"ref": "salkochoa/data-science-london-scikit-learn", "kernel_id": "86764462"}, {"ref": "oguztoy/datasciencelondonscikit-learn", "kernel_id": "86365048"}, {"ref": "xiangli1986/data-science-london-i-was-there-actually-in-2012", "kernel_id": "87859459"}, {"ref": "antonglushko1/london", "kernel_id": "88589106"}, {"ref": "riddhimaiti/ml-on-data-science-london", "kernel_id": "88232526"}, {"ref": "olegstorozhev/london-data-science-knn-random-forest", "kernel_id": "92073529"}, {"ref": "taiwo199/data-science-london-scikit-learn", "kernel_id": "92989916"}, {"ref": "osmansevili/data-science-london", "kernel_id": "96950196"}, {"ref": "rishabhkannaujiya/data-science-london-scikit-learn", "kernel_id": "97780172"}, {"ref": "assylzhanizbassar/data-science-sklearn", "kernel_id": "98420893"}, {"ref": "romaneyvazov/data-science-london-v2-public-0-90357", "kernel_id": "102329330"}, {"ref": "gamzebabayigit/datasciencelondon", "kernel_id": "102994746"}, {"ref": "itsyoursumit/dslondon-sklearn-comp-subm", "kernel_id": "104098197"}, {"ref": "emranalbiek/data-science-london-scikit-learn", "kernel_id": "109173008"}, {"ref": "hildlawliet/data-science-london-scikit-learn-lab1", "kernel_id": "110629735"}, {"ref": "emreatabey/0-99-score-with-transductive-learning-gmm", "kernel_id": "111194676"}, {"ref": "gibranrezaalghazzali/decision-tree-random-forest", "kernel_id": "116917914"}, {"ref": "madisrinija/knn-ver-2", "kernel_id": "122171830"}, {"ref": "madisrinija/knn-ver-1", "kernel_id": "122169075"}, {"ref": "madisrinija/feature-engineering", "kernel_id": "122374945"}, {"ref": "madisrinija/standard-scaler", "kernel_id": "122544430"}, {"ref": "rakuunshun/notebookb06a2447a5", "kernel_id": "124887277"}, {"ref": "nishidadairen/dairen-nishida", "kernel_id": "124889413"}, {"ref": "c6126330031/notebookb30fe8e3d4", "kernel_id": "124885908"}, {"ref": "bunta1110/notebook0976a41f83", "kernel_id": "124887294"}, {"ref": "ntakuya0821/notebook570498e472", "kernel_id": "124884409"}]}
{"competition_id": "3438", "kernels": []}
{"competition_id": "3439", "kernels": []}
{"competition_id": "3445", "kernels": []}
{"competition_id": "3446", "kernels": []}
{"competition_id": "3467", "kernels": []}
{"competition_id": "3469", "kernels": [{"ref": "sdoliver/bayesian-optimized-lgbm", "kernel_id": "3334951"}, {"ref": "khotijahs1/influencers-in-social-networks", "kernel_id": "8802037"}, {"ref": "mohitsital/bayesian-optimized-lgbm", "kernel_id": "9143868"}, {"ref": "mohitsital/random-forest-hyperparameter-tuning", "kernel_id": "9131159"}, {"ref": "avidutta20/identifying-using-rf-classifier", "kernel_id": "14864188"}, {"ref": "sharmaarchit/influencers", "kernel_id": "15958817"}, {"ref": "tinyrockmedia/influencers-in-social-networks", "kernel_id": "29458127"}, {"ref": "pratikg1808/influencers-part-1", "kernel_id": "34385231"}, {"ref": "hunglq/tw-influencers-prediction", "kernel_id": "45363621"}, {"ref": "leogri/notebook57da237752", "kernel_id": "74411988"}, {"ref": "syedmuhammadnasarali/notebook2184e4c972", "kernel_id": "102946517"}, {"ref": "ayyankarar/k242582-k242563-k242500", "kernel_id": "102929370"}, {"ref": "muhammadshaheereijaz/24k-2567-24k-2514-24k-2507-influential", "kernel_id": "102991621"}, {"ref": "sameerdanishlohana/sameer-hadeer-arham-question4-part-1", "kernel_id": "103643378"}, {"ref": "memonaziz786/aziz-shuzain-q4-part1", "kernel_id": "103665042"}]}
{"competition_id": "3471", "kernels": []}
{"competition_id": "3477", "kernels": [{"ref": "anuroopnag/yelp-ratings-review", "kernel_id": "14261565"}, {"ref": "bharathkumarkathula/yelp-nlp", "kernel_id": "32877438"}, {"ref": "jagjeetagarwal/yelp-review-analysis-using-multinomialnb", "kernel_id": "33393903"}, {"ref": "eduardomarinho44/npl-model-yelp-comp", "kernel_id": "38040209"}, {"ref": "canerglcn/nlp-yelp-nb-svm-rforest-10crossvalidation", "kernel_id": "58394527"}, {"ref": "yellowberry/yelp-nlp", "kernel_id": "105085955"}]}
{"competition_id": "3486", "kernels": [{"ref": "datawanderer/mixing-cnn-regularization-d", "kernel_id": "1888839"}, {"ref": "madhawav/basic-fully-connected-nn", "kernel_id": "1583909"}, {"ref": "gakshaygupta/real-time-cnn-architecture", "kernel_id": "1913615"}, {"ref": "glarrea/face-detection", "kernel_id": "1888718"}, {"ref": "glarrea/resnet-facedetection", "kernel_id": "1889675"}, {"ref": "karanjakhar/facial-keypoint-detection", "kernel_id": "1595346"}, {"ref": "ruchibahl18/facial-keypoint-detection", "kernel_id": "2617252"}, {"ref": "charlesyin/facial-key-point", "kernel_id": "2948823"}, {"ref": "tanumoynandy/snapchatting-keypoints", "kernel_id": "2537937"}, {"ref": "jenil1999/facial-keypoints-detection-using-cnn", "kernel_id": "2945567"}, {"ref": "aktaruzzaman/facial-keypoint-aman", "kernel_id": "2102499"}, {"ref": "mirodil/facial-keypoints-detection", "kernel_id": "2493358"}, {"ref": "ankursingh12/facial-key-points-detection", "kernel_id": "2192060"}, {"ref": "div1996p/facial-key-detection", "kernel_id": "2701708"}, {"ref": "mizomatic/facial-keypoints", "kernel_id": "2474177"}, {"ref": "jatinmittal0001/facial-feature-recog", "kernel_id": "2693082"}, {"ref": "swagmh/cnn-studying", "kernel_id": "2213549"}, {"ref": "dreams0104/first-kaggle-challenge-study-lsm", "kernel_id": "2764538"}, {"ref": "puneetsingla17/facial-detection", "kernel_id": "3496553"}, {"ref": "antigravityimport/facial-keypoints-detection-fastai-1-0-46", "kernel_id": "3199857"}, {"ref": "dimitrkovalsky/rnn-model", "kernel_id": "3231994"}, {"ref": "utkarsh4430/facial-keypoints-detection-basic-keras-model", "kernel_id": "3595552"}, {"ref": "nitron/facial-keypoints-fastai-image-regression", "kernel_id": "3593820"}, {"ref": "gaddar/facial-keypoint-detection", "kernel_id": "3681765"}, {"ref": "aparajit0511/facial-keypoint-detection-udacity", "kernel_id": "3278086"}, {"ref": "yaningzhong/yaning", "kernel_id": "3344044"}, {"ref": "negi009/facial-keypoint-detection", "kernel_id": "3331229"}, {"ref": "brianheredia/kernel2300dabe7f", "kernel_id": "4178004"}, {"ref": "kakash/cnn-pytorch", "kernel_id": "4565641"}, {"ref": "bharat2905/facial-key-point-detection", "kernel_id": "4410121"}, {"ref": "jiahongqian/fkd-mxnet", "kernel_id": "4220305"}, {"ref": "kogam22/face-key-edit", "kernel_id": "4735908"}, {"ref": "nikhiltheallknowing/best-ever-face-landmark-detection", "kernel_id": "4194207"}, {"ref": "zhudongxiao/2nd-based-on-cnn", "kernel_id": "4893231"}, {"ref": "zhudongxiao/1st-try-based-on-cnn", "kernel_id": "4819931"}, {"ref": "yuliiasharova/ysharmlef", "kernel_id": "4443544"}, {"ref": "charlespoletowin/facialkeypointsdetection", "kernel_id": "4484469"}, {"ref": "jiaofenx/facial-keypoints-detection", "kernel_id": "5094451"}, {"ref": "chaitanyagarikipati/facial-keypoints-detection-tensorflow-cnn", "kernel_id": "5731071"}, {"ref": "masfour/facial-keypoints-detection-with-rmse-3-2", "kernel_id": "5289235"}, {"ref": "khaledmgamal/facial-keypoints-detection-tensorflow", "kernel_id": "5643225"}, {"ref": "khaledmgamal/facial-detection-conv-score-2-73", "kernel_id": "5624955"}, {"ref": "avoke17/facial-keypoint-detection", "kernel_id": "5826427"}, {"ref": "liudmyla/easy-keras-facial-keypoint-detection", "kernel_id": "6134593"}, {"ref": "einstalek/facial-keypoint-detection", "kernel_id": "6669061"}, {"ref": "arpitjain007/facial-keypoints-detection", "kernel_id": "6280358"}, {"ref": "fmak95/facial-keypoint-detection", "kernel_id": "6493241"}, {"ref": "ahren09/facial-keypoints", "kernel_id": "6575518"}, {"ref": "incals/face-pattern", "kernel_id": "6150813"}, {"ref": "tkostopoulos/classicvgg16trial", "kernel_id": "6491113"}, {"ref": "asetseksenali/kernel592dc92125", "kernel_id": "6863366"}, {"ref": "maryam24/facial-keypoint", "kernel_id": "7316948"}, {"ref": "balraj98/data-augmentation-for-facial-keypoint-detection", "kernel_id": "7630243"}, {"ref": "suraj1709/facial-keypoint-for-snapchat", "kernel_id": "7000983"}, {"ref": "danielsingh96/keypointdetection", "kernel_id": "7528926"}, {"ref": "safamediouni/keypt-detect-0", "kernel_id": "8310191"}, {"ref": "fqpang/facial-keypoints-fastai-image-regression", "kernel_id": "8142522"}, {"ref": "ahmedjimy/facial-keypoints-detection-using-cnn", "kernel_id": "8204906"}, {"ref": "phylake1337/2-15-loss-simple-split-trick", "kernel_id": "8233083"}, {"ref": "shashiuppin/facial-landmark-detection-v2", "kernel_id": "8599635"}, {"ref": "roneeeee/simple-cnn-based-model-to-detect-face-keypoints", "kernel_id": "9109824"}, {"ref": "vanshika143/kernel3e420f4b2d", "kernel_id": "9281030"}, {"ref": "naimur978/facial-keypoints-detection-accuracy-4-55125", "kernel_id": "9763980"}, {"ref": "komalkalyanraman/facial-keypoint-detection", "kernel_id": "9258020"}, {"ref": "baekyujin/facial-keypoint-detection", "kernel_id": "9257430"}, {"ref": "srivastava09/facialdetection", "kernel_id": "9201859"}, {"ref": "vikrantdey/facial-keypoints", "kernel_id": "9905777"}, {"ref": "huyhongminh/facial-keypoints-detection", "kernel_id": "9045121"}, {"ref": "rahulkumarpatro/vehicle-number-plate", "kernel_id": "9976557"}, {"ref": "pranshigarg/face-key-detection-points", "kernel_id": "9687814"}, {"ref": "swatisk2702/facial-keypoints-detection-using-inception-model", "kernel_id": "9175793"}, {"ref": "karamcse/image-processing-face-keypoint-detection", "kernel_id": "10772431"}, {"ref": "vinodhb95/charlie-version2", "kernel_id": "10768563"}, {"ref": "prateek146/facial-keypoints-detection-model-explained", "kernel_id": "10697594"}, {"ref": "jayanthcvn/kernel7993627d11", "kernel_id": "10979318"}, {"ref": "denisart/facial-keypoint-detection", "kernel_id": "10870991"}, {"ref": "pratham0gupta/kernel49f04d57a5", "kernel_id": "10305182"}, {"ref": "youweizou/facial-keypoint-detection-20200619", "kernel_id": "10225007"}, {"ref": "mirmahathirmohammad/kaggle-facial-keypoint-detection", "kernel_id": "10653061"}, {"ref": "pratikbarua/facial-keypoint-detection", "kernel_id": "10034236"}, {"ref": "abhimanyusethi/facial-keypoint-detection-cnn", "kernel_id": "10073555"}, {"ref": "anubhvagrawal/facial-keypoint-recognition", "kernel_id": "10934446"}, {"ref": "anubhvagrawal/facial-keypoint-detection", "kernel_id": "10996196"}, {"ref": "julietadf/image-processing-keypoint-detection", "kernel_id": "10920230"}, {"ref": "obione26/facial-keypoints-detection-keras-albumentations", "kernel_id": "11193217"}, {"ref": "sshikamaru/keras-facial-keypoint-analysis", "kernel_id": "11186959"}, {"ref": "mannsingh/facial-keypoints", "kernel_id": "11036862"}, {"ref": "sandeepbhuiya29/simplest-beginner-keras-model", "kernel_id": "11131439"}, {"ref": "deckel28/facial-keypoint-detection-comp", "kernel_id": "11325225"}, {"ref": "sparmar/facial-keypoint-detection", "kernel_id": "12125090"}, {"ref": "jacobfrantz/facial-keypoint-detection-with-fastai-v2", "kernel_id": "12224631"}, {"ref": "onurakkse/implementing-with-keras-cnn", "kernel_id": "12764430"}, {"ref": "derektopper/facial-keypoints-notebook-w207-project", "kernel_id": "13393016"}, {"ref": "ritvik1909/facial-keypoint-detection-cnn-aug-tl", "kernel_id": "13649535"}, {"ref": "kholoudsayed/facial-keypoints-detection", "kernel_id": "13922616"}, {"ref": "rijuvaish/facial-key-points-detection-using-residual-network", "kernel_id": "14510953"}, {"ref": "ritvik1909/facial-keypoint-detection-pyradox", "kernel_id": "14136133"}, {"ref": "shanan93/facial-keypoints-detection", "kernel_id": "14817647"}, {"ref": "rihim421/face-keypoints-detection", "kernel_id": "14711145"}, {"ref": "parth22082001/funcitonalapi-combined-models-custom-callback", "kernel_id": "14246319"}, {"ref": "tarantula3/facial-keypoints", "kernel_id": "15939114"}, {"ref": "julianlenkiewicz/notebook696c991fc3", "kernel_id": "15495131"}, {"ref": "chr9843/myfacialkeypointsnb", "kernel_id": "15875316"}, {"ref": "complexsum/facial-keypoint-detection", "kernel_id": "15039251"}, {"ref": "sachin/nose-tip-detection", "kernel_id": "16053888"}, {"ref": "suvoooo/facial-key-points-runthrough", "kernel_id": "16233291"}, {"ref": "pramod722445/facial-detection", "kernel_id": "16517254"}, {"ref": "mohamedahmedae/detect-facial-keypoints-on-face-images", "kernel_id": "16682035"}, {"ref": "sohampatel46/facial-keypoints", "kernel_id": "16946672"}, {"ref": "jatingoyal123/facial-keypoint-detection", "kernel_id": "17393614"}, {"ref": "alankarkharbadikar/keypoint-experiments2", "kernel_id": "18461018"}, {"ref": "durgeshkumar29/facial-keypoints-detection-ver-4", "kernel_id": "18677438"}, {"ref": "durgeshkumar29/facial-keypoints-detection-ver-4-2", "kernel_id": "18681778"}, {"ref": "sivasankar169/notebookaa7ec78e86", "kernel_id": "18132543"}, {"ref": "mdmustafijurrahman/facial-keypoints-detection", "kernel_id": "18479369"}, {"ref": "nizado/facial-detection-transfer-learning-with-resnet50", "kernel_id": "18901745"}, {"ref": "erdenabaatar/facial-keypoint-resnet50-aug-finetune", "kernel_id": "18283299"}, {"ref": "hitanshkdoshi/facial-keypoint-detection", "kernel_id": "19318732"}, {"ref": "mastdev/facial-keypoint-detection", "kernel_id": "20740348"}, {"ref": "sachinsachan2021/feature-detection-using-cnn", "kernel_id": "20390918"}, {"ref": "shikameow/face-kp-beginer-mobilenetv2", "kernel_id": "21170984"}, {"ref": "castielhash532/facial-keypoint-detection-autokeras-mtr", "kernel_id": "21886739"}, {"ref": "wilsenwidjaja/facial-keypoints-detection-with-data-augmentation", "kernel_id": "22930854"}, {"ref": "dhyeydabhi/facial-keypoints-fine-tuning-on-resnet50", "kernel_id": "22936351"}, {"ref": "balon94/facial-keypoint-detection-5th-public-4th-private", "kernel_id": "22574938"}, {"ref": "bi8bolt/facial-keypoint-detection-1222", "kernel_id": "22985940"}, {"ref": "virgillwong/facial-keypoint-detection-cnn-fintune", "kernel_id": "22982522"}, {"ref": "virgillwong/fork-of-facial-keypoint-detection-cnn-fintune", "kernel_id": "23636996"}, {"ref": "waynewhying/facial-keypoints-transferlearning-resnet50v2", "kernel_id": "23811317"}, {"ref": "hayriyigit/facial-keypoint-detection-resnet50-albumentations", "kernel_id": "24045109"}, {"ref": "huangjingstark/facial-keypoint-detection", "kernel_id": "24048375"}, {"ref": "vijayshankar756/keypoints", "kernel_id": "24014527"}, {"ref": "liangyz2019/face-keypoint", "kernel_id": "25198331"}, {"ref": "abhinandanreddy/facial-keypoint-detection-getting-started", "kernel_id": "25820284"}, {"ref": "ajayuser/facial-key-points-detection-preprocessing-guide", "kernel_id": "26447111"}, {"ref": "newbie1906/facial-keypoint-detection-cnn-augmentation", "kernel_id": "26629692"}, {"ref": "yimingliu11/facial-my-first-trial", "kernel_id": "26153346"}, {"ref": "ahtuan9xc1/face-keypoint", "kernel_id": "26452242"}, {"ref": "kleckaa/facial-keypoint-detection-resnet50-aug", "kernel_id": "27479003"}, {"ref": "rajeevctrl/facial-keypoints-detection-getting-started", "kernel_id": "28379038"}, {"ref": "pythonkumar/8-img-transform-missingno-facial-key-detect", "kernel_id": "28943705"}, {"ref": "truongvangialan/the-golden-ratio-getting-started", "kernel_id": "28062484"}, {"ref": "arti1117/facial-keypoints-detection", "kernel_id": "29672672"}, {"ref": "francescoliveras/facial-keypoints-detection-nn-en-es", "kernel_id": "29898125"}, {"ref": "jiesun2007/facial-keypoint-detection-resnet50-imageaug", "kernel_id": "30001535"}, {"ref": "ready234/facial-detection", "kernel_id": "31529807"}, {"ref": "fatmaq84/myfacialkeypointsnb", "kernel_id": "31931187"}, {"ref": "fatmaq84/myfacialkeypointsnb-c953de", "kernel_id": "31931394"}, {"ref": "james146/facial-keypoints-detection-pytorch", "kernel_id": "31255208"}, {"ref": "karnakbaevarthur/notebookc12655b2f6", "kernel_id": "31660586"}, {"ref": "jooott/facial-keypoint-detection-20221107", "kernel_id": "32067817"}, {"ref": "enzomagal/how-to-deal-with-missing-values", "kernel_id": "32157526"}, {"ref": "fatmaq84/myfacialkeypointsnb-58b9e8", "kernel_id": "32163615"}, {"ref": "muhammadahmedansari/keras-facial-keypoint-analysis", "kernel_id": "33510268"}, {"ref": "aditya9790/facial-detection-cnn-vs-neural-network", "kernel_id": "33238569"}, {"ref": "ghazanfarali96/keras-facial-keypoint-analysis", "kernel_id": "33684796"}, {"ref": "ashishreddy9000/19cse437-group-11-case-study-fkpd", "kernel_id": "33326442"}, {"ref": "vkoriukina/pytorch-facial-keypoints-detection", "kernel_id": "34787245"}, {"ref": "sujaykapadnis/put-it-on-a-happy-face", "kernel_id": "34195835"}, {"ref": "yassminsaber/facial-keypoints-detection", "kernel_id": "34810740"}, {"ref": "sunnyjoshi1401/facial-keypoint-detection-resnet18", "kernel_id": "34817103"}, {"ref": "pratyushraj07/pytorch-face-beginer", "kernel_id": "35832295"}, {"ref": "pratyushraj07/face-keypoints-pr", "kernel_id": "35918092"}, {"ref": "caddis/solution-using-pytorch-albumentation-mlflow", "kernel_id": "36940031"}, {"ref": "niramay/facial-keypoint-analysis-v2", "kernel_id": "36115768"}, {"ref": "hujiahua900714/facial-keypoint-detection-reference-01", "kernel_id": "36177873"}, {"ref": "glavianhcastelino/facial-key-feature-detction", "kernel_id": "36575314"}, {"ref": "jllearning/tensorflow-facial-kpts-detection-score-1-74889", "kernel_id": "36032215"}, {"ref": "otmanheddouch/facial-keypoints-detection", "kernel_id": "37451244"}, {"ref": "lucasfuller96/facial-feature-recognition", "kernel_id": "37676038"}, {"ref": "yunsuxiaozi/facial-detection-written-by-beginner", "kernel_id": "37322759"}, {"ref": "sala2code/simpleconvmodel", "kernel_id": "37833456"}, {"ref": "himalayaashish/facial-key-points-detection", "kernel_id": "38088277"}, {"ref": "hanbagui/facial-keypoint-detection", "kernel_id": "38186932"}, {"ref": "andreygulincodim/face-key-paterns", "kernel_id": "38843816"}, {"ref": "abdulrahmanatef/facial-keypoints-detection", "kernel_id": "39240854"}, {"ref": "diaaessam/face-landmarks-detection", "kernel_id": "40945723"}, {"ref": "mahmoudeldebase/face-keypoints-detection", "kernel_id": "41478425"}, {"ref": "pks001/facial-keypoint-detection", "kernel_id": "41553040"}, {"ref": "yakinoki/facial-keypoints-detection", "kernel_id": "42629925"}, {"ref": "nagasai524/facial-keypoint-detection-using-cnn", "kernel_id": "42833252"}, {"ref": "kubarada/mpv-sp2a", "kernel_id": "45409813"}, {"ref": "aldanaaa/facial-keypoint-3", "kernel_id": "46790725"}, {"ref": "amourpropre/allpretrainedmodels", "kernel_id": "46446169"}, {"ref": "khaterehmohammadi8/facialkeypoints-first-scenario", "kernel_id": "47306907"}, {"ref": "najlafahad/my-facial-keypoints", "kernel_id": "47301974"}, {"ref": "janburian1999/mpv-term-paper-2", "kernel_id": "47520727"}, {"ref": "fatimazafar9090/facial-keypoints-notebook-w207-project", "kernel_id": "48249895"}, {"ref": "renhuang8/facial-keypoints-detection-resnet18", "kernel_id": "48906259"}, {"ref": "mdismielhossenabir/facial-keypoints-detection", "kernel_id": "49063667"}, {"ref": "duchuy3008/keypoint-detection", "kernel_id": "49206853"}, {"ref": "gerardocappa/facial-keypoints-specialists-ensemble-top-50", "kernel_id": "51977725"}, {"ref": "sachin/facial-keypoint-detection", "kernel_id": "52407674"}, {"ref": "aysegulsezen/notebook308394dd5c", "kernel_id": "53557566"}, {"ref": "suvansh03/facial-keypoint-detection", "kernel_id": "54679618"}, {"ref": "akshita0560/facial-keypoint-detection", "kernel_id": "54633653"}, {"ref": "kanishhkaa/notebookb97a1c2820", "kernel_id": "54686384"}, {"ref": "rohanthakur336/facial-keypoints-problem", "kernel_id": "54941877"}, {"ref": "clfhuwda/notebook308394dd5c", "kernel_id": "58279370"}, {"ref": "anrenk/pffft", "kernel_id": "59571072"}, {"ref": "szaminabbas/zamin-project", "kernel_id": "59554966"}, {"ref": "ahmedhassanibrahim/esrgan-pytorch", "kernel_id": "61835466"}, {"ref": "creatorlogs/facial-keypoints-detection-cnn-tensorflow", "kernel_id": "61357224"}, {"ref": "olehdiakov/facial-keypoint-detection", "kernel_id": "61712561"}, {"ref": "soonminhong/notebookbb096b1e35", "kernel_id": "61754384"}, {"ref": "yukimishi821/notebook02b7b1d5dc", "kernel_id": "61584423"}, {"ref": "okadaippei/notebookb950caaee0", "kernel_id": "61708608"}, {"ref": "mememe00/notebook5a4c53b4c3", "kernel_id": "61574524"}, {"ref": "ryusei2510/notebookbb096b1e35-a7fbea", "kernel_id": "62800083"}, {"ref": "yukimishi821/notebookbb096b1e35", "kernel_id": "62434182"}, {"ref": "yukimishi821/notebookbb096b1e35-e4aa45", "kernel_id": "62802169"}, {"ref": "mememe00/notebook138fb2fc83", "kernel_id": "62428457"}, {"ref": "ratidi/facial-keypoints-detection", "kernel_id": "65856892"}, {"ref": "anishvijay/facial-keypoints-detection", "kernel_id": "65074870"}, {"ref": "limwenyang/facial-keypoints-detection", "kernel_id": "72103057"}, {"ref": "jalkuwari/fkd-hyperparameter-tuning", "kernel_id": "72381622"}, {"ref": "ishhbku/faceproject4", "kernel_id": "72719839"}, {"ref": "ishhbku/faceproject2", "kernel_id": "72712253"}, {"ref": "ishhbku/faceproject3", "kernel_id": "72716694"}, {"ref": "ishhbku/faceproject", "kernel_id": "72706965"}, {"ref": "shreysharma07/face-keypoints-detection-using-cnn", "kernel_id": "73377300"}, {"ref": "dingggggg/facial-keypoints-detection-cnn", "kernel_id": "74711065"}, {"ref": "nguyenhong52100962/ck-facial-keypoints-detection", "kernel_id": "74043011"}, {"ref": "andreagobbez/facial-keyparts-prediction", "kernel_id": "75026280"}, {"ref": "serhiiyanovskii1/super-soll", "kernel_id": "75580998"}, {"ref": "group6aiml/facial-keypoints-detection-pytorch", "kernel_id": "75284950"}, {"ref": "crolen/facelandmarks", "kernel_id": "76359815"}, {"ref": "nandanbilagi/solution-using-pytorch-albumentation-mlflow", "kernel_id": "77617290"}, {"ref": "jaspreetgeord/lip-detection", "kernel_id": "77805453"}, {"ref": "vivicky/cnn-xgboost-facial-keypoints-prediction", "kernel_id": "78054598"}, {"ref": "tedeng/facial-keypoint-detection", "kernel_id": "78879612"}, {"ref": "tedeng/facial-keypoint-detection-541b36", "kernel_id": "78881858"}, {"ref": "swatipandey503/facial-keypoints-detection-cnn-with-pytorch", "kernel_id": "79320371"}, {"ref": "vishrutmishra/facial-keypoints-detection", "kernel_id": "79616250"}, {"ref": "vikkach/facial-keypoints-basic-cnn-region-specific-cnn", "kernel_id": "81074358"}, {"ref": "arekhtiwari/facial-keypoints-detection-with-cnns", "kernel_id": "82012777"}, {"ref": "behnamzahednejad2/facial-keypoints-detection-cnn", "kernel_id": "82186616"}, {"ref": "behnamzahednejad2/facial-keypoints-detection-cnn-49f6df", "kernel_id": "82315819"}, {"ref": "dima123s/notebookf8760d18f6", "kernel_id": "83609141"}, {"ref": "yogeshbawankar/facial-keypoints-detection", "kernel_id": "85552575"}, {"ref": "frknlgc/facial-keypoints", "kernel_id": "85912596"}, {"ref": "ishaangoel2005/facial-keypoints-detection", "kernel_id": "86300331"}, {"ref": "mostafakhaled111/facial-keypoints-detection-reg", "kernel_id": "87947921"}, {"ref": "gauripatil2299/facial-keypoints-detection", "kernel_id": "87048503"}, {"ref": "jamescake/facial-keypoint-detection", "kernel_id": "88410941"}, {"ref": "sayedsalem/facial-keypoints-using-cnn-tl-data-aug", "kernel_id": "90126030"}, {"ref": "omolarabello/ml-project", "kernel_id": "95013075"}, {"ref": "teleportation/facial-keypoints-detection-vit", "kernel_id": "98152720"}, {"ref": "gamzebabayigit/facialkeypointdet", "kernel_id": "103101414"}, {"ref": "jacomomanfredi/facial-detection", "kernel_id": "105423074"}, {"ref": "mysha1rysh/facial-keypoints-detection-cnn-pytorch", "kernel_id": "106878382"}, {"ref": "eupphh/eupph-facial-keypoints-detection-cnn", "kernel_id": "107344531"}, {"ref": "beyzatopbas/facial-keypoints-detection", "kernel_id": "109178866"}, {"ref": "walord200/convolutional-neural-network-learning", "kernel_id": "110867877"}, {"ref": "od1nlm/facial-keypoints-detection-conv-nn1", "kernel_id": "115972613"}, {"ref": "sunalice/20260417", "kernel_id": "115919065"}, {"ref": "slnkvdns/keypointsdetection", "kernel_id": "118357054"}, {"ref": "xiajin7/final-masked-resnet50-onecyclelr-dropout-optuna", "kernel_id": "118094578"}, {"ref": "kkmatsuno2024/facial-keypoints-01-eda-baseline", "kernel_id": "119907057"}, {"ref": "phoebusxiaofeichen/facial-keypoints-v1", "kernel_id": "124576650"}, {"ref": "marioyouchia/facial-keypoint-detection-cnn-and-mobilenetv2", "kernel_id": "125101832"}, {"ref": "phoebusxiaofeichen/facial-keypoints-v1-continued", "kernel_id": "126340587"}, {"ref": "maximendacleu/facial-keypoint-detection-with-deep-learning", "kernel_id": "126375555"}, {"ref": "phoebusxiaofeichen/facial-keypoints-v2", "kernel_id": "127034829"}, {"ref": "abhishekgupta56447/facial-keypoints-detection-cnn", "kernel_id": "127848386"}, {"ref": "scroomeater/facial-keypoints-v2", "kernel_id": "127529517"}, {"ref": "smilymouth/facial-recogniton", "kernel_id": "128358971"}, {"ref": "phoebusxiaofeichen/facial-keypoints-v3-data-modification", "kernel_id": "129940723"}, {"ref": "darulislam2233081316/notebookc0369743b0", "kernel_id": "131261080"}, {"ref": "zahidbd/lecture11-classification-hog-nb1", "kernel_id": "134424101"}]}
{"competition_id": "3493", "kernels": []}
{"competition_id": "3495", "kernels": []}
{"competition_id": "3497", "kernels": []}
{"competition_id": "3504", "kernels": [{"ref": "bimimi/time-series-anomaly-detection", "kernel_id": "5609811"}, {"ref": "nikitsoftweb/production-time-series-of-price-anomaly-detection", "kernel_id": "6209924"}, {"ref": "yoheiii/for-yota", "kernel_id": "6181109"}, {"ref": "kari554/tfugday4", "kernel_id": "8592202"}, {"ref": "gauravtirodkar42/unsupervisedlearningota", "kernel_id": "8923105"}, {"ref": "abhinavsp0730/tfug-day-4", "kernel_id": "8590374"}, {"ref": "rishitdagli/unsupervised-learning-workflow-working-with-huge", "kernel_id": "8592333"}, {"ref": "danofer/catboost-ranking-ncdg-expedia-search-queries", "kernel_id": "10472903"}, {"ref": "raghavbang/feature-engineering-and-k-means", "kernel_id": "10734018"}, {"ref": "vishalkasa/feature-engineering-k-means", "kernel_id": "11037005"}, {"ref": "irwanjunardi/production-time-series-of-price-anomaly-detection", "kernel_id": "27204972"}]}
{"competition_id": "3507", "kernels": []}
{"competition_id": "3509", "kernels": []}
{"competition_id": "3517", "kernels": [{"ref": "shreyasajal/audio-albumentations-torchaudio-audiomentations", "kernel_id": "17112339"}, {"ref": "shreyasajal/birdclef-librosa-audio-feature-extraction", "kernel_id": "17042836"}, {"ref": "muhammadzubairkhan92/birdclef-2021-librosa-audio-feature-extraction", "kernel_id": "17419460"}, {"ref": "titankinansalaatsa/mlsp-2013-bird-classification-challenge-1301180283", "kernel_id": "21249586"}, {"ref": "sagniksanyal/birdclef-2022-torchaudio-audiomentations-skimpy", "kernel_id": "25625685"}, {"ref": "rsinda/notebookbc251977e7", "kernel_id": "94594489"}]}
{"competition_id": "3521", "kernels": []}
{"competition_id": "3524", "kernels": []}
{"competition_id": "3526", "kernels": [{"ref": "mks2192/stumbleupon-eda-and-model-baseline", "kernel_id": "4299819"}, {"ref": "salhimohamednadjib/saaalhi", "kernel_id": "13772926"}, {"ref": "sunil5807516/logistic-regression-with-tfidf", "kernel_id": "14331981"}, {"ref": "imabhilash/classifier-stubmpleupon-comp", "kernel_id": "14500897"}, {"ref": "nrcgsharma/evergreen", "kernel_id": "14866539"}, {"ref": "sumeetsawant/stumble-upon-challenge-auc-private-lb-0-85", "kernel_id": "14503479"}, {"ref": "danurahul/transfer-learning-for-nlp", "kernel_id": "14813659"}, {"ref": "danurahul/stumble-upon-challenge-precision-recall", "kernel_id": "14813036"}, {"ref": "adishah3103/stumbleupon-challenge-using-bert", "kernel_id": "15009012"}, {"ref": "taru58/tulsi-assignment", "kernel_id": "15028303"}, {"ref": "shubhraneelpal/stumbleupon", "kernel_id": "15231469"}, {"ref": "rahools/huggingface-bert-model", "kernel_id": "15217436"}, {"ref": "hashmeet/task-using-pytorch-hashmeet", "kernel_id": "15215692"}, {"ref": "oussamaouardini/notebooka9ff694d7d", "kernel_id": "15836413"}, {"ref": "razerspeed/bertforsequenceclassification-pytorch", "kernel_id": "16379125"}, {"ref": "alihamraoui/notebook7052d4b8a7", "kernel_id": "16488637"}, {"ref": "prithvijaunjale/huggingface-accelerate-tpu-text-classification", "kernel_id": "19511254"}, {"ref": "rhmnarief8/evergreen-classification", "kernel_id": "19928283"}, {"ref": "assivanurul/evergreeen", "kernel_id": "20053622"}, {"ref": "sravanneeli/stumble-upon", "kernel_id": "22112306"}, {"ref": "sachinsachan2021/logistic-regression-with-kfold", "kernel_id": "22583833"}, {"ref": "raj401/baseline-evergreen", "kernel_id": "22127875"}, {"ref": "shabnamse/stumbleupon-evergreen-classification-with-bert", "kernel_id": "24322991"}, {"ref": "gulshanmishra/feedforward-neural-network-feature-engineering", "kernel_id": "25103224"}, {"ref": "mohamedelatillah/stumbleupon-evergreen-classification", "kernel_id": "25298516"}, {"ref": "redwanemahjoubi/stumbleupon-evergreen-classification-challenge", "kernel_id": "25349581"}, {"ref": "hengwdai/stumbleupon-autogluon", "kernel_id": "26891830"}, {"ref": "hengwdai/stumbleupon-h2o", "kernel_id": "26891731"}, {"ref": "hengwdai/stumbleupon-auto3ml", "kernel_id": "26891628"}, {"ref": "hengwdai/stumbleupon-data-split", "kernel_id": "26906043"}, {"ref": "yahyaouiachraf/stumbleupon-classification-randomforest", "kernel_id": "27215894"}, {"ref": "aquibalikhan/tfidf-lr-84-auc", "kernel_id": "31166436"}, {"ref": "raviista/stumbleupon-art-of-eda", "kernel_id": "32400483"}, {"ref": "aganguly/stumbleupon-evergreen-countvec-randomforest-simple", "kernel_id": "41305752"}, {"ref": "aganguly/using-only-numerical-cols-in-nlp-problem", "kernel_id": "41360012"}, {"ref": "aganguly/glove-embedding-lstm", "kernel_id": "41389571"}, {"ref": "shelterw/logistic-regression-from-scratch", "kernel_id": "81205846"}]}
{"competition_id": "3532", "kernels": []}
{"competition_id": "3535", "kernels": []}
{"competition_id": "3539", "kernels": [{"ref": "vikashrajluhaniwal/multi-label-classification-for-tag-predictions", "kernel_id": "7251740"}, {"ref": "anushakarthik1991/facebook-recur", "kernel_id": "7172728"}, {"ref": "sumantindurkhya/so-tag-prediction-multilabel-bilstm", "kernel_id": "9303243"}, {"ref": "f13rc3/multi-label-classification-for-tag-prediction", "kernel_id": "9663923"}, {"ref": "koredla25/predicting-tags-for-the-questions-in-satckoverflow", "kernel_id": "10663348"}, {"ref": "l0new0lf/tag-classifier", "kernel_id": "10492253"}, {"ref": "rajat2341/stackoverflow-tag-prediction", "kernel_id": "10249991"}, {"ref": "chandanmalla/stackoverflow-multi-label-tag-prediction", "kernel_id": "10161886"}, {"ref": "ashishkkumar/kernel3fae69652f", "kernel_id": "10643383"}, {"ref": "reintegrated/3-stackoverflow-featurizing-preprocessed-data-tags", "kernel_id": "11304325"}, {"ref": "reintegrated/4-stackoverflow-training", "kernel_id": "11330909"}, {"ref": "reintegrated/2-stackoverflow-preprocessing-1-million-sentences", "kernel_id": "11282527"}, {"ref": "reintegrated/1-stackoverflow-eda-and-sampling", "kernel_id": "11236360"}, {"ref": "canirudh/predicting-tags-for-questions-in-stack-overflow", "kernel_id": "12606290"}, {"ref": "anonymous55/ml-project-final", "kernel_id": "13278482"}, {"ref": "dwarika/stackoverflow-tag-predictor", "kernel_id": "14280419"}, {"ref": "elemento/stackoverflow-questiontagging", "kernel_id": "20497540"}, {"ref": "vikaskumarmaurya/so-tagpredict-googlecolab", "kernel_id": "23939795"}, {"ref": "mitishaagarwal/stackoverflow-tag-predictor", "kernel_id": "23096352"}, {"ref": "ezequielstarecinch/stackoverflow-tags20-classifier", "kernel_id": "24599138"}, {"ref": "akashmodi7t/notebook8fafe25719", "kernel_id": "27627699"}, {"ref": "thienlm/fork-of-multi-label-classification-for-tag-3352dd", "kernel_id": "39614047"}, {"ref": "thienlm/multi-label-classification-for-tag-predictions", "kernel_id": "39095601"}, {"ref": "thangchu15897/fork-of-multi-label-classification-for-tag-3352dd", "kernel_id": "39781722"}, {"ref": "aryandec25/notebook-stackoverflow", "kernel_id": "40364625"}, {"ref": "mkchaitanya1999/multilabel-classification", "kernel_id": "40626087"}, {"ref": "muyiwaaa/draft", "kernel_id": "90492027"}, {"ref": "muyiwaaa/notebook-2", "kernel_id": "90450766"}]}
{"competition_id": "3540", "kernels": []}
{"competition_id": "3582", "kernels": []}
{"competition_id": "3586", "kernels": [{"ref": "ruchibahl18/predict-the-weather-bag-of-words", "kernel_id": "2658510"}, {"ref": "mohitsital/0-16372-predict-the-weather", "kernel_id": "9305132"}, {"ref": "kwanghoum/flip-sunny", "kernel_id": "15480596"}, {"ref": "swanawoo/partlysunny-tfidfdl", "kernel_id": "17783595"}, {"ref": "yagli18/partly-sunny-with-a-chance-of-hashtags", "kernel_id": "29917694"}, {"ref": "wepasabyrow/partly-sunny-with-a-chance-of-hashtags", "kernel_id": "36241487"}, {"ref": "ashwinikaldate/partly-sunny-with-a-chance-of-hashtags", "kernel_id": "37821760"}, {"ref": "abhinavvvvvvvvvv/partly-sunny-with-a-chance-of-hashtags", "kernel_id": "50474932"}, {"ref": "arshiyakishore/partly-sunny-with-a-chance-of-hashtags-ver1", "kernel_id": "50930216"}, {"ref": "ishaangaba17/partly-sunny-with-a-chance-of-hashtags-easy-soln", "kernel_id": "54685034"}, {"ref": "pulkittarora/partly-sunny-with-a-chance-of-hashtags", "kernel_id": "54623942"}]}
{"competition_id": "3599", "kernels": [{"ref": "masdeval/seeclickfix", "kernel_id": "4162266"}]}
{"competition_id": "3602", "kernels": []}
{"competition_id": "3611", "kernels": []}
{"competition_id": "3617", "kernels": []}
{"competition_id": "3634", "kernels": []}
{"competition_id": "3638", "kernels": [{"ref": "ruchibahl18/starting-of-an-end-game", "kernel_id": "2799544"}, {"ref": "ptyshevs/cnn-for-reversing-game-of-life", "kernel_id": "5262083"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "wepasabyrow/conway-s-reverse-game-of-life", "kernel_id": "36506900"}]}
{"competition_id": "3641", "kernels": [{"ref": "abdelrahmanyehia/bci-project", "kernel_id": "23800991"}, {"ref": "dimitridl/decoding-human-brain", "kernel_id": "64729928"}, {"ref": "nickfury1432/decoding-human-brain-374efe", "kernel_id": "67144990"}]}
{"competition_id": "3645", "kernels": [{"ref": "leirahua/classify-bird-songs-using-spectrogram", "kernel_id": "3352071"}, {"ref": "leirahua/bird-songs-pad-and-resize-spectrogram", "kernel_id": "3395194"}, {"ref": "leirahua/bird-songs-generate-spectrograms", "kernel_id": "3394318"}, {"ref": "adelyagarieva/kernel45f13df162", "kernel_id": "9929527"}, {"ref": "qiushuisanchi/notebook7a7a8eae9d", "kernel_id": "60122003"}, {"ref": "qiushuisanchi/classify-bird-songs", "kernel_id": "60133947"}, {"ref": "qiushuisanchi/notebook", "kernel_id": "60243630"}, {"ref": "ayushinarnolia/bird-preprocessing", "kernel_id": "134754648"}]}
{"competition_id": "3649", "kernels": [{"ref": "wordroid/usage-of-keras-pretrained-models", "kernel_id": "1996179"}, {"ref": "falkow91/tp-cifar10", "kernel_id": "1772463"}, {"ref": "vassiliskrikonis/cifar-10-analysis-with-a-neural-network", "kernel_id": "2131952"}, {"ref": "wordroid/usage-cifar-10", "kernel_id": "2015422"}, {"ref": "uvxy1234/cifar-10-implementation-by-keras", "kernel_id": "3933968"}, {"ref": "maliabbas/kernelef8b15f6a8", "kernel_id": "3724410"}, {"ref": "magedtalaat/kernelff0769aa19", "kernel_id": "4213266"}, {"ref": "a77887/enas-mnist-macro-search", "kernel_id": "5596232"}, {"ref": "archirobie/cifar-10", "kernel_id": "5517830"}, {"ref": "leihao1313/cnn-cifar10", "kernel_id": "7038964"}, {"ref": "faizanurrahmann/cifar-10-object-classification-best-model", "kernel_id": "7176310"}, {"ref": "guesejustin/object-recognition-mlp-cnn-efficientnet-on-cifar", "kernel_id": "7639176"}, {"ref": "intissarharras/vgg16-cifar-10-tet", "kernel_id": "7762932"}, {"ref": "intissarharras/cifar-10-tet", "kernel_id": "7675493"}, {"ref": "konateminsitan/project-of-classification-images", "kernel_id": "7757410"}, {"ref": "jihanelhb/mini-projet", "kernel_id": "7252684"}, {"ref": "botian0/cifar-10", "kernel_id": "8986663"}, {"ref": "skrzysztof/vgg-inspired-networks", "kernel_id": "8983433"}, {"ref": "kraisin/cifar-10-object-classification-cnn-keras", "kernel_id": "8480261"}, {"ref": "roblexnana/cifar10-with-cnn-for-beginer", "kernel_id": "8405029"}, {"ref": "jianghanhan/cifar-10-in-chinese", "kernel_id": "8962806"}, {"ref": "minhtmnguyn/kernel1b8e833645", "kernel_id": "8885122"}, {"ref": "franckepeixoto/cifar-10-recognition-in-images-to-the-point", "kernel_id": "9829311"}, {"ref": "yfyangd/senet-approach", "kernel_id": "9541227"}, {"ref": "amithasanshuvo/cifar-images-classification-using-cnn", "kernel_id": "9351629"}, {"ref": "enriqueabad/neural-network-basics-with-tensorflow-and-keras", "kernel_id": "9213008"}, {"ref": "geethareddybattu/kernel55b71dbf43", "kernel_id": "9185866"}, {"ref": "geethareddybattu/kernel4a4f7d2852", "kernel_id": "9164742"}, {"ref": "andreigor08/cifar10-andreigor", "kernel_id": "9698589"}, {"ref": "arnabdas8901/cifar10-deepnetwork", "kernel_id": "9424240"}, {"ref": "gvsgoutham/cifar-10-cnn-novice", "kernel_id": "9556960"}, {"ref": "kalashnimov/keras-callbacks-with-91-acc", "kernel_id": "10844354"}, {"ref": "yashvi/machine-learning-using-turi-create", "kernel_id": "10791881"}, {"ref": "mentalomega/convert-the-data-to-hdf5-and-use-keras-to-get-0-71", "kernel_id": "10004838"}, {"ref": "arifintahu/pytorch-cnn-cifar10-classification", "kernel_id": "10112627"}, {"ref": "crbanala/treecnn", "kernel_id": "10535495"}, {"ref": "karam123/cnn-and-lenet-on-cifar10", "kernel_id": "10264747"}, {"ref": "sahil2398/cifar-10-with-augmentation", "kernel_id": "10650192"}, {"ref": "ujjwalsharma26/cifar10-classification", "kernel_id": "10628925"}, {"ref": "vivekhn/cifar-10-images-classification-using-cnns", "kernel_id": "10425421"}, {"ref": "pg1007/starting-with-cnn", "kernel_id": "10849004"}, {"ref": "vikasbhadoria/cifar10-high-accuracy-model-build-on-pytorch", "kernel_id": "10205023"}, {"ref": "rathijitpaul/cifer-10-with-cnn", "kernel_id": "10533155"}, {"ref": "abhishekshaw21/cifar-10-using-pytorch", "kernel_id": "10884706"}, {"ref": "deeppatel23/cifar-images", "kernel_id": "10164916"}, {"ref": "aarooxx/object-recognition-90-88-accuracy", "kernel_id": "10939671"}, {"ref": "anirbanmalick/cnn-with-pytorch-79-acc", "kernel_id": "11098665"}, {"ref": "mritunjaisingh/cifar-10-object-detection", "kernel_id": "11612307"}, {"ref": "kedarsai/cifar-10-88-accuracy-using-keras", "kernel_id": "11331200"}, {"ref": "slm37102/using-diff-arch-of-cnn-in-cifar-10-fastai-v1", "kernel_id": "11415082"}, {"ref": "lkatran/blank-cifar-10", "kernel_id": "11916547"}, {"ref": "greatcodes/pytorch-cnn-resnet18-cifar10", "kernel_id": "11806084"}, {"ref": "wilderjoseth/images-cifar-10", "kernel_id": "11427161"}, {"ref": "burakkahveci/transfer-learning-with-cifar-10-dataset", "kernel_id": "11790738"}, {"ref": "svpraveen/fun-with-torch-cifar-10", "kernel_id": "11014782"}, {"ref": "dohunkim/gnb-2", "kernel_id": "11286078"}, {"ref": "shaurov/cifar-image-classification-using-cnn-for-beginner", "kernel_id": "11685105"}, {"ref": "sergeyakulich/cifar-10", "kernel_id": "11919303"}, {"ref": "blinichkin/cifar-10", "kernel_id": "11919338"}, {"ref": "dmitrynokhrin/cifar-10", "kernel_id": "11919314"}, {"ref": "normall777/cifar-10", "kernel_id": "11919301"}, {"ref": "himahima/cifar-10-image-classification-using-cnn", "kernel_id": "11879380"}, {"ref": "surajkesharwani/cifar-10-using-pytorch", "kernel_id": "11019371"}, {"ref": "abhishekshaw21/cifar-10-using-pytorch-simple-model", "kernel_id": "11275187"}, {"ref": "billlucas/report3-cifar-10", "kernel_id": "11737167"}, {"ref": "kcaumber/cifra-10", "kernel_id": "11335251"}, {"ref": "msameerkhan/cifar10-with-cnn", "kernel_id": "12806781"}, {"ref": "lkatran/pretrain-models-cifar-10", "kernel_id": "12037388"}, {"ref": "kentaroh34/cifar-cnn", "kernel_id": "12520444"}, {"ref": "heyi2020/cifar10-sknet", "kernel_id": "12229448"}, {"ref": "cristeena/cifar-10-object-classification-cnn-keras-52f8f2", "kernel_id": "12784558"}, {"ref": "kambojharyana/playing-around-with-cifar-and-ann", "kernel_id": "12054393"}, {"ref": "nukhugama/cifar10-classification-using-cnn-inception-resnet", "kernel_id": "12250676"}, {"ref": "emmilivan13/cifar-10", "kernel_id": "12097840"}, {"ref": "nurkasimov/cifar-10", "kernel_id": "12008817"}, {"ref": "sergeyakulich/pretrain-models-cifar-10", "kernel_id": "12044469"}, {"ref": "stellaris98/mingpt-image", "kernel_id": "12293153"}, {"ref": "olegmatsevych/notebook0d79dc2184", "kernel_id": "12842060"}, {"ref": "yuvi07/cifar10", "kernel_id": "12132542"}, {"ref": "dvidveres/cifar-10onmodels", "kernel_id": "12319939"}, {"ref": "raghavjha858/cifar-10-image", "kernel_id": "12718117"}, {"ref": "maximkalinin/cifar-101", "kernel_id": "12116879"}, {"ref": "sneky369/cifar-10", "kernel_id": "12059837"}, {"ref": "vladscherbakov/cifar-10", "kernel_id": "12008670"}, {"ref": "adebelyi/cifar-10", "kernel_id": "12008730"}, {"ref": "yuriromamov/cifar-10", "kernel_id": "12008822"}, {"ref": "stanislavkorda/cifar-10", "kernel_id": "12095659"}, {"ref": "asylbaitenova/cifar-10", "kernel_id": "12056816"}, {"ref": "andrysazonov/cifar-10", "kernel_id": "12008784"}, {"ref": "matveevayulia/cifar-10", "kernel_id": "12008632"}, {"ref": "julessharova/svertneiset-1lab-sharova", "kernel_id": "12094814"}, {"ref": "denismetelev/cifar-10", "kernel_id": "12108472"}, {"ref": "medvedevlev/cifar-10", "kernel_id": "12008717"}, {"ref": "safonenkomax/cifar-10-8360ef", "kernel_id": "12073152"}, {"ref": "sergbal1973/cifar-10-serg", "kernel_id": "12137814"}, {"ref": "nagsdata/cifar-10-with-cnn", "kernel_id": "13412106"}, {"ref": "albumor/cifar10-with-cnn-performance-evaluation", "kernel_id": "13116708"}, {"ref": "mooncrater/cifar-10-with-cnns-85-validation-accuracy", "kernel_id": "13189416"}, {"ref": "mooncrater/cifar-10-with-densenets-transfer-learning", "kernel_id": "13300583"}, {"ref": "madhursinghal/vgg16-fine-tunning", "kernel_id": "13633714"}, {"ref": "jayantawasthi/cifar10", "kernel_id": "13014347"}, {"ref": "phsaikiran/cifar-10", "kernel_id": "13799686"}, {"ref": "cseashish/mlda-1-2nd-project-pattnaik-sir", "kernel_id": "13752106"}, {"ref": "vakninmaor/cifar-10-for-beginners-score-90", "kernel_id": "14215504"}, {"ref": "aeunal/unsupervised-learning-iic-image-clustering", "kernel_id": "14205369"}, {"ref": "rishabhj28/cifar10final", "kernel_id": "14269543"}, {"ref": "songrise/implementing-resnet-18-using-keras", "kernel_id": "14517794"}, {"ref": "safonenkomax/keras-callbacks", "kernel_id": "14026292"}, {"ref": "datajameson/cifar-10-object-recognition-cnn-explained", "kernel_id": "14341071"}, {"ref": "kundankumarmandal/cifar-10-dataset", "kernel_id": "14838583"}, {"ref": "ayeshasaqib/cifar-10-ayesha", "kernel_id": "14055177"}, {"ref": "ashalali/notebook2d9c2f7aca", "kernel_id": "14228041"}, {"ref": "ahmadzafar7484/ahmadzafarcifar10", "kernel_id": "14058419"}, {"ref": "ahmadzafar7484/ahmadzafar-cifar10", "kernel_id": "14061518"}, {"ref": "fanbyprinciple/cifar10-exploration-using-pytorch-part-1", "kernel_id": "15264282"}, {"ref": "fanbyprinciple/cifar10-with-simple-convolutions-in-pytorch", "kernel_id": "15293077"}, {"ref": "darynakozak/cnn-on-cifar-10-0-8-test-accuracy", "kernel_id": "15621554"}, {"ref": "skydevour/cifar-10", "kernel_id": "15081362"}, {"ref": "skydevour/cifar-10-for-beginner", "kernel_id": "15096669"}, {"ref": "sumit8420/cifar10-with-cnn-for-beginer", "kernel_id": "15841674"}, {"ref": "busekseolu/cifar-10-with-functional-api-for-beginners", "kernel_id": "15237595"}, {"ref": "duanjingxiang/implementing-resnet-18-using-keras", "kernel_id": "15919306"}, {"ref": "errearanhas/simple-custom-cnn-for-cifar-10-classification", "kernel_id": "16053824"}, {"ref": "andrii0yerko/cnn-with-keras", "kernel_id": "16886536"}, {"ref": "beardimon/cifar10-dataroot2", "kernel_id": "16488159"}, {"ref": "harithapliyal/cifar-10-cnn-efficientnet", "kernel_id": "17883042"}, {"ref": "endman1002/202106", "kernel_id": "17394200"}, {"ref": "datakagglesem/cifar-10-with-convolutional-neural-networks", "kernel_id": "17617036"}, {"ref": "fatmazohrabensalem/semisup-mlc", "kernel_id": "17250908"}, {"ref": "elshadai/cifar-10-with-convolutional-neural-networks", "kernel_id": "17630595"}, {"ref": "adamjanowski/cifar-10-siec-konwolucyjna", "kernel_id": "17851843"}, {"ref": "markjibrilmononutu/cifar-10-cnn-mark", "kernel_id": "17626682"}, {"ref": "elshacgr/cifar-10-cnn", "kernel_id": "17649944"}, {"ref": "suvinkollabathula/cnn-cifar-suvin-unklab-final", "kernel_id": "17654093"}, {"ref": "sinjoysaha/federated-learning-mnist-cifar-10", "kernel_id": "18217245"}, {"ref": "devsubhash/cifar-10-image-classification-using-cnn", "kernel_id": "18899084"}, {"ref": "saileshnair/cifar-solution", "kernel_id": "18972942"}, {"ref": "reponpon777/notebook328e4b1fb7", "kernel_id": "18633700"}, {"ref": "rishabmudliar/cifar-10-exploration", "kernel_id": "18715806"}, {"ref": "riturajtalukdar12/cifar10", "kernel_id": "18674937"}, {"ref": "nirmalvignu/cifar-10", "kernel_id": "18997774"}, {"ref": "kubo1987/notebookab47b1b2ef", "kernel_id": "18594281"}, {"ref": "kubo1987/notebookf9da83887d", "kernel_id": "18458559"}, {"ref": "kashiwagids/cifar10-cnn", "kernel_id": "18443746"}, {"ref": "dingjasmine/hw6-vgg16", "kernel_id": "18616755"}, {"ref": "francescolorenzo/96-fine-tuning-resnet34-with-pytorch", "kernel_id": "18850480"}, {"ref": "zyper26/cnn-cifar10-image-classification-model-with-bn", "kernel_id": "19001046"}, {"ref": "zlanan/cifar10-high-accuracy-model-build-on-pytorch", "kernel_id": "19344742"}, {"ref": "hazelraditya/cifar10-classification-using-cnn-inception-resnet", "kernel_id": "19987985"}, {"ref": "dhinakarswamy/cifar-10-object-recognition-in-images-rules", "kernel_id": "19021525"}, {"ref": "shubhiijain/cifar10", "kernel_id": "19689943"}, {"ref": "tarunnagavinaysai/cifar", "kernel_id": "19087268"}, {"ref": "onasveebanarse/cifar-10-image-detection-using-ann-and-cnn", "kernel_id": "19034560"}, {"ref": "hemamounika/cifar-10", "kernel_id": "19087211"}, {"ref": "keerthi182e5/cifar-10", "kernel_id": "19071408"}, {"ref": "sravanirayapati/cifar-10", "kernel_id": "19103821"}, {"ref": "bhavithadurgap/cifar-10", "kernel_id": "19094192"}, {"ref": "chaudhariabhishek/cifar-10-dataset-for-object-detection", "kernel_id": "20636790"}, {"ref": "abdallamahmoudamin/stanford-assignment-2-cifar10", "kernel_id": "20870720"}, {"ref": "maniking0/cifar100-classification", "kernel_id": "20633744"}, {"ref": "nataliakhol/cifar10-transfer-learning", "kernel_id": "21649911"}, {"ref": "snikhil17/cifar-10", "kernel_id": "21654404"}, {"ref": "maneesharava/a11-cifar-10-ann-cnn", "kernel_id": "21803009"}, {"ref": "chimaralavamshireddy/cifar10-image-classification", "kernel_id": "21594564"}, {"ref": "lewtas/cifar-10-for-kourse", "kernel_id": "21275911"}, {"ref": "shuchismitj/notebookaa4f1a8fe0", "kernel_id": "22557326"}, {"ref": "arkacze/cifar10-lenet-pytorch", "kernel_id": "22145787"}, {"ref": "xcwang21/cifar10-with-mlp-lenet-resnet-for-beginners", "kernel_id": "22322282"}, {"ref": "arianshf/cifar-10-classification-using-cnn", "kernel_id": "23564036"}, {"ref": "yogeshrampariya/cifar10-classification-with-alexnet-on-pytorch", "kernel_id": "23875697"}, {"ref": "rcloudli/notebook9217ad7831", "kernel_id": "23464133"}, {"ref": "toygarr/resnet-implementation-for-image-classification", "kernel_id": "23895981"}, {"ref": "sharumaan/pre-training-with-cifar-10", "kernel_id": "23940562"}, {"ref": "bilalmkhechen/cifar10-classification", "kernel_id": "23744441"}, {"ref": "prashanth12kaggle/image-classification-cifar10-with-cnn", "kernel_id": "24279688"}, {"ref": "suriyae1305/basic-neural-network-with-cifar10-using-keras", "kernel_id": "24625841"}, {"ref": "nersesaghababyan/cifar-10-top10-eu", "kernel_id": "24320324"}, {"ref": "saugatkafley/federated-learning-mnist-cifar-10", "kernel_id": "24184384"}, {"ref": "lilpegasus/cifar-mobilenet", "kernel_id": "24839407"}, {"ref": "matzoer/notebook296791b689", "kernel_id": "24238355"}, {"ref": "anandaaditya/practical-1-computer-vision", "kernel_id": "24661659"}, {"ref": "arababudu/aba-cifar10", "kernel_id": "24345623"}, {"ref": "bimbimsimonstock/cifar-10-with-convolutional-neural-networks", "kernel_id": "24818043"}, {"ref": "sayowabdielpieroh/cifar-10-with-convolutional-sayow", "kernel_id": "24732264"}, {"ref": "imanmkhamis/cifar-10-dnn", "kernel_id": "24339250"}, {"ref": "seholeee/cifar10-practice-cnn", "kernel_id": "24803879"}, {"ref": "seholeee/cifar10-with-cnn-practice", "kernel_id": "24893073"}, {"ref": "wafaebaaza/miniprojet-cifar10", "kernel_id": "24647332"}, {"ref": "oukhirahalachaimae/mini-projet-ml", "kernel_id": "24774880"}, {"ref": "zakariaelakhzar/notebook31926e4fa9", "kernel_id": "24221239"}, {"ref": "mohammedezzakkar/cifar-10-object-recognition", "kernel_id": "24546804"}, {"ref": "yasminaela/mini-projet-cifar-10", "kernel_id": "24624692"}, {"ref": "lvarosncheztrtola/cifar-10", "kernel_id": "24270173"}, {"ref": "patricksto/cifar-10-working-2", "kernel_id": "24146042"}, {"ref": "polinadubatovka/cifar-10", "kernel_id": "24283908"}, {"ref": "fabianstiegler/cifar-10-with-pretrained-resnet-18", "kernel_id": "24245535"}, {"ref": "priyankdl/cifar10-with-transferlearning-flow-from-directory", "kernel_id": "24961467"}, {"ref": "rivaldobogar/cifar-10-bogarrivaldo", "kernel_id": "24784975"}, {"ref": "gilvend/exercise-cifar-lumba-gillvend-floistan", "kernel_id": "24660233"}, {"ref": "marcelmumek/marcelmumek-cifar-10-convolutional-neural-networks", "kernel_id": "24648632"}, {"ref": "francesyong/esra-cifar-10-with-convolutional-neural-networks", "kernel_id": "24773067"}, {"ref": "geovalgafl/cifar-10-with-convolutional-neural-networks-cfcc13", "kernel_id": "24657845"}, {"ref": "yosafatyuliusriders/cifar-10-with-convolutional-neural-networks", "kernel_id": "24661675"}, {"ref": "ferdinandrattu/cifar-10-with-convolutional-neural-networks", "kernel_id": "24533876"}, {"ref": "claudiomambu/cifar-10-with-convolutional-neural-networks", "kernel_id": "24660006"}, {"ref": "kountulaldi/cifar-10-with-convolutional-neural-networks-e628de", "kernel_id": "24750808"}, {"ref": "parikavyas/cifar10-with-cnn-practice-011649", "kernel_id": "25248257"}, {"ref": "jeanbarbapapa/ds05-cifar10-with-autoencoder", "kernel_id": "25251571"}, {"ref": "gunjanpaul/cifar10-pytorch-cnn", "kernel_id": "25944968"}, {"ref": "jainishsavalia/cifar-cnn", "kernel_id": "25271337"}, {"ref": "meetvora090201/cifar-10-using-competition-dataset", "kernel_id": "25709460"}, {"ref": "meetvora090201/cifar-10-cnn-using-load-dataset", "kernel_id": "25272543"}, {"ref": "shahsmit45/cifar-10-cnn", "kernel_id": "25272539"}, {"ref": "filippavii/cifar10-cnn-doljanin-pavicic-mobilenet-v3-large", "kernel_id": "25819708"}, {"ref": "harshitshah1409/cifar-10-image-classification-with-convolutional-n", "kernel_id": "25271280"}, {"ref": "harshitshah1409/cifar10-tl", "kernel_id": "25462413"}, {"ref": "bhingradiyameet/ciphar10-wo-tl", "kernel_id": "25221090"}, {"ref": "dhruvinkakadia/cifar-10-classification", "kernel_id": "25073018"}, {"ref": "tanmayj3601/19bce089-transfer-learning-and-data-augmentation", "kernel_id": "25943251"}, {"ref": "darvikitaliya/20bce509-cifer10-cnn-pra4", "kernel_id": "25272454"}, {"ref": "hirparaharshal/cifar-10-no-transfer-learning", "kernel_id": "25058608"}, {"ref": "kalariabhargav/cifar10cnn", "kernel_id": "25058353"}, {"ref": "kalariabhargav/transferlearning", "kernel_id": "25220466"}, {"ref": "gargmanav/cifar-10-prediction-without-transfer-learning", "kernel_id": "25219614"}, {"ref": "gopalgoyal612002/cnn-classifier", "kernel_id": "25676301"}, {"ref": "aumkhant/cifar-10-transfer-learning", "kernel_id": "25220873"}, {"ref": "kahansheth/cifar-10-using-cnn-74-47", "kernel_id": "25272486"}, {"ref": "davawalamanan/cifar-cnn", "kernel_id": "25213134"}, {"ref": "patelviraj/19bce201-practical-3", "kernel_id": "25272211"}, {"ref": "mustafakeser4/cifar10-classification", "kernel_id": "25722713"}, {"ref": "jashmavani/dl-cifar-cnn", "kernel_id": "25659756"}, {"ref": "mihirbhanderi1310/cifar-10", "kernel_id": "25498403"}, {"ref": "bhattdevansh/cifar-wo-tl", "kernel_id": "25772801"}, {"ref": "bhattdevansh/rnn-code", "kernel_id": "25760852"}, {"ref": "preet45/cifar-10", "kernel_id": "25716364"}, {"ref": "aayush349/cifar-10-convolutional-layer", "kernel_id": "25793474"}, {"ref": "vachhanijurin/19bce286-cifar-competion", "kernel_id": "25721843"}, {"ref": "harshwardhanyadav/19bce301-cifar10-cnn", "kernel_id": "25436200"}, {"ref": "braunge/cifar-10-cnn-89-5", "kernel_id": "25949405"}, {"ref": "tyonemoto/cifar10-with-cnn-for-beginer", "kernel_id": "26929624"}, {"ref": "michaelrocchio/dnn-cnn-transformer-with-keras", "kernel_id": "26539243"}, {"ref": "bhingradiyameet/ciphar10-wi-tl", "kernel_id": "26040976"}, {"ref": "nikhilkurane/implementing-resnet-18-using-keras", "kernel_id": "26276979"}, {"ref": "kalariabhargav/cifar10-transfer-learning", "kernel_id": "26775412"}, {"ref": "kalariabhargav/cifar-10-prediction-with-transfer-learning", "kernel_id": "26775419"}, {"ref": "kalariabhargav/simplecifar10", "kernel_id": "26411643"}, {"ref": "kahansheth/cifar-10-using-transfer-learning-89-28-score", "kernel_id": "26919787"}, {"ref": "davawalamanan/cifar-ffd", "kernel_id": "26041461"}, {"ref": "movaliyajaykumar/19bce134-cifar10-wotl", "kernel_id": "26085336"}, {"ref": "movaliyajaykumar/19bce134-cifar10-witl", "kernel_id": "26838948"}, {"ref": "mihirbhanderi1310/cifar10-tl", "kernel_id": "26908190"}, {"ref": "preet45/cifar-10-transferlearning", "kernel_id": "26084158"}, {"ref": "aayush349/cifar-10-transfer-learning-trial-2", "kernel_id": "26086672"}, {"ref": "mistrysunny/19bce131-withouttl", "kernel_id": "26881523"}, {"ref": "nguyenbahuy/cifar10", "kernel_id": "26856871"}, {"ref": "kishorebabunampalle/federated-learning-kishore", "kernel_id": "27275006"}, {"ref": "nghihuynh/cifar-10-mlp-cnn-resnet9-classifier", "kernel_id": "27140782"}, {"ref": "thindngngc/training-multi-model-with-original-data", "kernel_id": "27234473"}, {"ref": "thindngngc/continue-training-model", "kernel_id": "27152227"}, {"ref": "loitran2k/training-multi-model-with-original-data-7ad223", "kernel_id": "27282692"}, {"ref": "splav12341/cifar-10", "kernel_id": "27266611"}, {"ref": "ds150478/cifar-10-object-recognition-in-images", "kernel_id": "27471148"}, {"ref": "chloezzzzzzz/cifar10", "kernel_id": "27752699"}, {"ref": "nurullahahin/cifar-10-cnn", "kernel_id": "28012097"}, {"ref": "orangecatman/efficientnet-b7-cifar", "kernel_id": "28305616"}, {"ref": "ddatad/cnn-101-for-image-classifications", "kernel_id": "28847663"}, {"ref": "naseem123/cifar10-using-transfer-learning", "kernel_id": "29837614"}, {"ref": "tuanh208/cifar10-pytorch", "kernel_id": "29695762"}, {"ref": "fahim227/federated-learning-mnist-cifar-10", "kernel_id": "29027674"}, {"ref": "irfanbabar42/cifar-10-using-cnn", "kernel_id": "29796557"}, {"ref": "abdulbasitniazi/gan-pytorch-a-beginner-s-guide", "kernel_id": "29767514"}, {"ref": "mohdbilalhaider/assignment-4", "kernel_id": "29792341"}, {"ref": "mindadeepam/cifar10-pytorch", "kernel_id": "29696638"}, {"ref": "venkateshkulkarni11/neural-network-for-cifar-10", "kernel_id": "29814869"}, {"ref": "thegamer7675/assignment-7-210045452", "kernel_id": "29869888"}, {"ref": "aishaalmohannadi/cifar-dataset-recognition", "kernel_id": "29843921"}, {"ref": "omarkhd99/cifar-10-assignment-4", "kernel_id": "29847905"}, {"ref": "dlogical/cifar-210044316", "kernel_id": "29855098"}, {"ref": "sajathsathar/cifar-43540", "kernel_id": "29876067"}, {"ref": "fatmaq84/notebook98d4505255", "kernel_id": "29852378"}, {"ref": "tasnim1998/cifar-10-assignment-4-tasnim", "kernel_id": "29883180"}, {"ref": "vitaliicondratiuk/notebook804310fdcc", "kernel_id": "29709897"}, {"ref": "irfanbabar42/cifar10-transfer-learning", "kernel_id": "30390548"}, {"ref": "csmohamedayman/dl-cv-cifar-10-object-recognition-in-images", "kernel_id": "30976279"}, {"ref": "mohdbilalhaider/assignment-cifar-2-transfer-learning-using-fastai", "kernel_id": "30451372"}, {"ref": "filippokevin/pytorch-cnn-resnet18-cifar10", "kernel_id": "30255267"}, {"ref": "rafathasan/awesome-lightning", "kernel_id": "30583984"}, {"ref": "oybekeraliev/cifar10-with-resnet-91", "kernel_id": "30705840"}, {"ref": "abhinays/cifar-10-using-transfer-learning-89-28-score", "kernel_id": "30900533"}, {"ref": "sleymanen/cifar10-cnnv1", "kernel_id": "30705031"}, {"ref": "sleymanen/cifar-10-cnn", "kernel_id": "30690770"}, {"ref": "banerz/relu-vs-tanh-vs-sigmoid-on-training-accuracy", "kernel_id": "30969968"}, {"ref": "abdulsalamalsumaini/cifar-10-abdulsalam", "kernel_id": "30425412"}, {"ref": "abdulsalamalsumaini/assignment-cifar10-abdulsalam", "kernel_id": "30479710"}, {"ref": "omarkhd99/cifar-10", "kernel_id": "30369586"}, {"ref": "dlogical/cifar-10-210044316", "kernel_id": "30379616"}, {"ref": "sajathsathar/cifar-10-object-recognition", "kernel_id": "30520327"}, {"ref": "fatmaq84/cifar-10-with-cnn", "kernel_id": "30517174"}, {"ref": "tasnim1998/notebook1f98a647ae", "kernel_id": "30518276"}, {"ref": "sajathps/cifar-cnn-43540", "kernel_id": "30067771"}, {"ref": "ayushksingh28/cifar-10-using-tensorflow-dataset", "kernel_id": "31942032"}, {"ref": "priyanshusahu23/cifar-10", "kernel_id": "31903714"}, {"ref": "ryanglaspey/clip-deit-embeddings-with-sums", "kernel_id": "31153293"}, {"ref": "littlezombie/cifar-10-prediction-with-cnn", "kernel_id": "32557407"}, {"ref": "alphinjain/cifar-10-resnet50", "kernel_id": "32653961"}, {"ref": "evanhong99/comp5511-cv", "kernel_id": "32119409"}, {"ref": "khoiho2701/cifar-10-pytorch-lightning", "kernel_id": "32973149"}, {"ref": "bilalkhan0099/unsupervised-learning-iic-image-clustering", "kernel_id": "32332777"}, {"ref": "ayushnitb/cifar10-custom-resnet-cnn-pytorch-97-acc", "kernel_id": "33833446"}, {"ref": "bugragundog/cifar-classification", "kernel_id": "33530360"}, {"ref": "norifumiirie/basic-convnet-lenet-and-alexnet-using-pytorch", "kernel_id": "33109250"}, {"ref": "khaledmahmoud100/cifar10-mostafa-ghazy", "kernel_id": "33185002"}, {"ref": "leonbora/cifar-10-fine-tuning-93-87-torchscript", "kernel_id": "34426536"}, {"ref": "mohamedaminelasheb/clustering-with-cifar-10", "kernel_id": "34181512"}, {"ref": "mustafatayyipbayram/cifar10-resnet18", "kernel_id": "34149494"}, {"ref": "lpoda001/cifar-10-practice", "kernel_id": "34895313"}, {"ref": "barborakudlov/cifar10-cnnwthresid-joins-acc-0-999-val-acc-0-846", "kernel_id": "34410339"}, {"ref": "sharanharsoor/cifar10-deep-learning-models", "kernel_id": "35176594"}, {"ref": "thuylinh225/cifar10-image-classification-using-cnns", "kernel_id": "35773334"}, {"ref": "krsabatagungsirait/cifar-10-with-cnn-adamax-optimizer", "kernel_id": "35387359"}, {"ref": "hoanganh238/federated-learning-mnist-cifar-10", "kernel_id": "35330975"}, {"ref": "sanandachowdhury/cifar10-deep-learning-models", "kernel_id": "36750251"}, {"ref": "m24gstevens/image-classification-with-convolutional-neural-net", "kernel_id": "36379428"}, {"ref": "aadhaarkoul/federated-learning-mnist-cifar-10", "kernel_id": "36407942"}, {"ref": "defnebusecelik/cnn-algorithm-project", "kernel_id": "36189973"}, {"ref": "muttafaucarr/notebook4fad5ce30a", "kernel_id": "36552274"}, {"ref": "sharanharsoor/pytorch-cnn-step-by-step", "kernel_id": "37943133"}, {"ref": "sharanharsoor/pytorch-vgg-16-resnet-and-models", "kernel_id": "37987711"}, {"ref": "zhongyanmin/cifar10-with-gan", "kernel_id": "37344698"}, {"ref": "aengusng/26-04-homework-learning-to-combine-cifar10", "kernel_id": "37804810"}, {"ref": "anh147/final-pytorch-cnn-resnet18-cifar10", "kernel_id": "37849356"}, {"ref": "leelailai/cifar-10", "kernel_id": "37023456"}, {"ref": "nmud19/cifar10-fid-score-statistics-npz", "kernel_id": "38487164"}, {"ref": "guidodumont/astroformer", "kernel_id": "38471292"}, {"ref": "minalijain/cifar-dataset", "kernel_id": "38681496"}, {"ref": "minannu/cifar-images-classification-using-cnn", "kernel_id": "38545699"}, {"ref": "waiyanbo/image-classification-project", "kernel_id": "38833109"}, {"ref": "frankchenfu/cifar-10", "kernel_id": "39011818"}, {"ref": "joinjeffrey/cifar10-resnet18", "kernel_id": "39013218"}, {"ref": "dongpingchen/cifar10-custom-resnet-cnn-pytorch-97-acc", "kernel_id": "39499982"}, {"ref": "monareyhanii/cifar-10-classification-cnn-test-accuracy-91-5", "kernel_id": "40895090"}, {"ref": "ngotrisi/temporal-ensembling", "kernel_id": "40084946"}, {"ref": "ngotrisi/mean-teacher", "kernel_id": "40248526"}, {"ref": "amitpant7/pruning-effficientnet-v2-s-on-cifar10", "kernel_id": "40596772"}, {"ref": "cafalena/cifar-10-competition-pytorch-vgg16", "kernel_id": "40979583"}, {"ref": "jamalludinj/implementasi-gan-pytorch-dataset-cifar-10", "kernel_id": "40359756"}, {"ref": "arunkanthali/cifar10-resnet-18-using-keras", "kernel_id": "41152000"}, {"ref": "akakikhuntsaria/cnn-keras", "kernel_id": "41742021"}, {"ref": "suriyaprashannaj/cifar10-deep-learning-models", "kernel_id": "41114860"}, {"ref": "khaledatef1/effnet-98-acc", "kernel_id": "41855616"}, {"ref": "aounullahkhan/object-recongnition", "kernel_id": "41097810"}, {"ref": "yangyanpei/vgg16-keras-temp", "kernel_id": "41757720"}, {"ref": "kaushikkrsarma/cifar10-object-detection-usig-resnet50", "kernel_id": "41741430"}, {"ref": "sugen05/notebook70853c3551-3ef346", "kernel_id": "41459339"}, {"ref": "sugen05/notebook70853c3551", "kernel_id": "41060564"}, {"ref": "h4ruk1/notebook70853c3551", "kernel_id": "41036918"}, {"ref": "tomoya18/notebook70853c3551-b7f8e6", "kernel_id": "41523273"}, {"ref": "tomoya18/notebook70853c3551", "kernel_id": "41060591"}, {"ref": "yellowcakejp/ds-submit-ver1", "kernel_id": "41288592"}, {"ref": "singotri/mean-teacher-d055e9", "kernel_id": "41291079"}, {"ref": "nonamiyagi/notebook70853c3551-712f1b", "kernel_id": "41455279"}, {"ref": "nonamiyagi/notebook70853c3551", "kernel_id": "41060541"}, {"ref": "inouetomoaki/notebook70853c3551", "kernel_id": "41290372"}, {"ref": "inouetomoaki/notebook70853c3551-7a6023", "kernel_id": "41458655"}, {"ref": "inouetomoaki/fork-of-notebook70853c3551", "kernel_id": "41524447"}, {"ref": "hirapa/notebook70853c3551-4ac8df", "kernel_id": "41464555"}, {"ref": "hirapa/notebook70853c3551", "kernel_id": "41060529"}, {"ref": "shravankumar147/get-started-with-cifar-10-image-classification", "kernel_id": "42635309"}, {"ref": "syerramilli/cifar10-transfer-learning-resnet-50", "kernel_id": "42835835"}, {"ref": "syerramilli/cifar10-extract-images-as-numpy-arrays", "kernel_id": "42830215"}, {"ref": "syerramilli/cifar10-baseline-cnn", "kernel_id": "42832488"}, {"ref": "mgusat/cifar-10-v0-9", "kernel_id": "42461570"}, {"ref": "mostafamohamad/cifar-10-88-accuracy-using-keras", "kernel_id": "42061790"}, {"ref": "anhcnguyntrn/resnet34-no-aug", "kernel_id": "42587542"}, {"ref": "fahmida23/cifar-10-image-classification", "kernel_id": "42603260"}, {"ref": "rupeshkumarmeena/image-processing", "kernel_id": "42042873"}, {"ref": "osamaabobakr/cifar-10-80", "kernel_id": "42236131"}, {"ref": "osamaabobakr/cifar10-cnn-acc-0-999-val-acc-0-845", "kernel_id": "42235241"}, {"ref": "osamaabobakr/dl-cifar-10", "kernel_id": "42204724"}, {"ref": "osamaabobakr/cifar-10-classification-cnn-test-accuracy-91-65", "kernel_id": "42209969"}, {"ref": "valeriamulina/image-recognition-classification-cnn", "kernel_id": "42439395"}, {"ref": "sachinpatil1280/submission-cifar-10-image-classification-89", "kernel_id": "42451870"}, {"ref": "sachinpatil1280/cifar-10-image-classification-cnn-89", "kernel_id": "42338586"}, {"ref": "yangyin/210046015-tpu", "kernel_id": "43538975"}, {"ref": "stopwhispering/cifar-10-image-classification-pytorch-cnn", "kernel_id": "43372579"}, {"ref": "inamqadir/notebook3ae290efb5", "kernel_id": "43908664"}, {"ref": "inamqadir/assignment-no-3-two-gpu", "kernel_id": "43240136"}, {"ref": "inamqadir/assignment-no-3-tpu", "kernel_id": "43226343"}, {"ref": "khadijacheema/khadija-assignment-cifar-10-high-accuracy", "kernel_id": "43917415"}, {"ref": "binthnisar/assign5-trial", "kernel_id": "43382151"}, {"ref": "binthnisar/assign5", "kernel_id": "43362330"}, {"ref": "epicrako/assignment-3-gpu", "kernel_id": "43201856"}, {"ref": "epicrako/assignment-3-tpu", "kernel_id": "43272239"}, {"ref": "haaven/tpuv3", "kernel_id": "43382881"}, {"ref": "haaven/tpu-test01", "kernel_id": "43354631"}, {"ref": "haaven/2gpu-02v-higher", "kernel_id": "43341350"}, {"ref": "khaterehmohammadi1/assignment-3-tpu-210046433", "kernel_id": "43355564"}, {"ref": "abdulfattah1/notebookc053f37e18", "kernel_id": "43995546"}, {"ref": "abdulfattah1/210046015-2x-gpu", "kernel_id": "43371007"}, {"ref": "abdulfattah1/210046015-tpu", "kernel_id": "43380498"}, {"ref": "bilal39/assignment-03-using-gpu-x2-210051726", "kernel_id": "43344852"}, {"ref": "bilal39/assignment-03-using-tpu-210051726", "kernel_id": "43305464"}, {"ref": "khaterehmohammadi8/assignment-3-gpu-t4x2-210046433", "kernel_id": "43288716"}, {"ref": "khaterehmohammadi8/training-a-high-accuracy-model-assignment", "kernel_id": "43942572"}, {"ref": "heshamzaky/cifar10-tpu", "kernel_id": "43295126"}, {"ref": "heshamzaky/cifar10-gpu", "kernel_id": "43289634"}, {"ref": "heshamzaky/cifar10", "kernel_id": "43715495"}, {"ref": "rafaaalalwani/fastai-cifar", "kernel_id": "43999689"}, {"ref": "rafaaalalwani/gpu-raal38844", "kernel_id": "43378864"}, {"ref": "rafaaalalwani/tpu-raal38844", "kernel_id": "43379031"}, {"ref": "pavanpyla/cifar-10-using-cnn", "kernel_id": "43208676"}, {"ref": "aldanaaa/cifar-10-tpu", "kernel_id": "43381381"}, {"ref": "aldanaaa/cifar-10-2-gpus", "kernel_id": "43371970"}, {"ref": "nima88/cifar10-hw-5", "kernel_id": "43879048"}, {"ref": "nima88/assignment-3-cifar-10", "kernel_id": "43379149"}, {"ref": "nima88/hw-cifar-10", "kernel_id": "43382980"}, {"ref": "nima88/notebook-cifar-10", "kernel_id": "43383082"}, {"ref": "najlafahad/assignment-3-t4", "kernel_id": "43341951"}, {"ref": "najlafahad/assignment-3-tpu", "kernel_id": "43344668"}, {"ref": "najlafahad/assignment-5-high-accuracy", "kernel_id": "43935508"}, {"ref": "nightbarron/dangtuan-b2c2-cifar10", "kernel_id": "43951013"}, {"ref": "hbkuali/assignment-3-tpu-1", "kernel_id": "43303795"}, {"ref": "hbkuali/assignment-3-2-gpu-1", "kernel_id": "43272260"}, {"ref": "hbkuali/cifar-10-improved-accuracy", "kernel_id": "43878201"}, {"ref": "khalfan1111/cifar-10-assignment", "kernel_id": "43876335"}, {"ref": "khalfan1111/assignment3-gput4", "kernel_id": "43273108"}, {"ref": "khalfan1111/assignment3-tpu", "kernel_id": "43262547"}, {"ref": "mohammedalsooj/assugnment-3-cifar-10-gpu-t4", "kernel_id": "43285651"}, {"ref": "mohammedalsooj/assugnment-3-cifar-10-tpu", "kernel_id": "43346315"}, {"ref": "mohammedalsooj/assignment-5-cifar-10-fastai", "kernel_id": "43729988"}, {"ref": "fraz210049884/kaggle-environment-tpu-assignment-3", "kernel_id": "43507191"}, {"ref": "fraz210049884/kaggle-environment-gpu-assignment-3", "kernel_id": "43426866"}, {"ref": "fathimalamya/fathima-lamya-210051806-tpu", "kernel_id": "43365506"}, {"ref": "fathimalamya/fathima-lamya-210051806", "kernel_id": "43361801"}, {"ref": "fathimalamya/fathima-lamya", "kernel_id": "43969110"}, {"ref": "mozu43877/210043877-dseg660-assignment-5-fall-2023", "kernel_id": "43987215"}, {"ref": "ahmedmagdyhosney/assignment-3a-ahmed-magdy-210058199", "kernel_id": "43355253"}, {"ref": "ahmedmagdyhosney/assignment-3b-ahmed-magdy-210058199", "kernel_id": "43380481"}, {"ref": "shaima96/assignment3-tpu", "kernel_id": "43382256"}, {"ref": "shaima96/da3-210056828", "kernel_id": "43371771"}, {"ref": "shaima96/assignment3-gpu", "kernel_id": "43361469"}, {"ref": "shaima96/a3-210056828", "kernel_id": "43363766"}, {"ref": "salemsbafjaish/salem-bafjaish-using-tp", "kernel_id": "43358191"}, {"ref": "salemsbafjaish/210056819-salem", "kernel_id": "43988521"}, {"ref": "abdullakhedr/high-accuracy-model-for-cifar10", "kernel_id": "43746323"}, {"ref": "abdullakhedr/convnet-cifar-10-tpu", "kernel_id": "43398194"}, {"ref": "abdullakhedr/convnet-cifar-10-two-gpu", "kernel_id": "43378102"}, {"ref": "ahel51798/adl-a5-high-accuracy-model", "kernel_id": "43845499"}, {"ref": "theguardian11/pytorch-cifar10", "kernel_id": "43889208"}, {"ref": "regnens/dqt-pytorch-multi-layer-perceptroncifar-10", "kernel_id": "43822218"}, {"ref": "tasnimnishatislam/federated-learning-cifar", "kernel_id": "44546719"}, {"ref": "inamqadir/notebooke4d1dbea30", "kernel_id": "44649661"}, {"ref": "binthnisar/challenge-cifar10", "kernel_id": "44046522"}, {"ref": "binthnisar/assgn-5", "kernel_id": "44002712"}, {"ref": "epicrako/assignment-6-cifar10-even-higher-accuracy", "kernel_id": "44124917"}, {"ref": "haaven/higheraccuracycifar0-9", "kernel_id": "44106067"}, {"ref": "haaven/a-7-highaccuracy", "kernel_id": "44612894"}, {"ref": "abdulfattah1/notebook1", "kernel_id": "44001728"}, {"ref": "bilal39/higher-accuracy-cifar10-210051726", "kernel_id": "44711341"}, {"ref": "bilal39/assignment-210051726", "kernel_id": "44081219"}, {"ref": "khaterehmohammadi8/even-higher-accuracy-for-cifar10", "kernel_id": "44114621"}, {"ref": "heshamzaky/cifar10-challenge", "kernel_id": "44031910"}, {"ref": "rafaaalalwani/cifar-challenge-high-acc", "kernel_id": "44270268"}, {"ref": "aldanaaa/notebook9d62646921", "kernel_id": "44005615"}, {"ref": "aldanaaa/notebooka6cfb1851a", "kernel_id": "44556703"}, {"ref": "nima88/cifar10-higher-accuracy", "kernel_id": "44684527"}, {"ref": "shubhangibindal/logistic-regression-with-combination-of-various-pa", "kernel_id": "44170795"}, {"ref": "hbkuali/cifar-10-highest-test", "kernel_id": "44104877"}, {"ref": "khalfan1111/cifar-10-highest-test", "kernel_id": "44127083"}, {"ref": "mohammedalsooj/assignment-7-cifar-10-fastai", "kernel_id": "44003423"}, {"ref": "fraz210049884/assignment6-cifar-10-higher-accuracy", "kernel_id": "44182038"}, {"ref": "fathimalamya/fathima-lamya-cifar10-latest", "kernel_id": "44712260"}, {"ref": "fathimalamya/submission-csv", "kernel_id": "44579023"}, {"ref": "shaima96/assignment-cifar10", "kernel_id": "44021409"}, {"ref": "shaima96/assignment-even-higher-accuracy-for-cifar10", "kernel_id": "44723170"}, {"ref": "shaima96/assignment-8", "kernel_id": "44669494"}, {"ref": "shaima96/assignment9", "kernel_id": "44445215"}, {"ref": "salemsbafjaish/higher-accuracy-cifar10", "kernel_id": "44704557"}, {"ref": "abdullakhedr/higher-accuracy-for-cifar10", "kernel_id": "44559446"}, {"ref": "ahel51798/adl-a6-even-higher-accuracy-model", "kernel_id": "44184755"}, {"ref": "iqadir/notebooke4d1dbea30", "kernel_id": "44702973"}, {"ref": "stuartfong/qm-6-cifar-10-pytorch", "kernel_id": "45046210"}, {"ref": "sulimandahan/cifar-10-object-recognition-cnn-with-multithread", "kernel_id": "45203823"}, {"ref": "shoaibshahriar33/federated-learning-tensorflow-ndag", "kernel_id": "45079600"}, {"ref": "eslammohamed100/cifar-10-classification", "kernel_id": "45101160"}, {"ref": "chiben/cifar-10", "kernel_id": "45152184"}, {"ref": "wudong277224/cifar10-wudong", "kernel_id": "45727470"}, {"ref": "favadhassanjaskani/momna-thesis-code", "kernel_id": "46800884"}, {"ref": "avidewan/cifar-10-model-train", "kernel_id": "46562116"}, {"ref": "avidewan/nn-peformance-on-different-of-training-data", "kernel_id": "46790730"}, {"ref": "avidewan/cifar-10-model-trained-on-9-classes", "kernel_id": "46818013"}, {"ref": "avidewan/cifar-10-dataset-using-keras-with-resnet50", "kernel_id": "46753217"}, {"ref": "amirhoseinsedaghati/image-classification-using-vgg16-and-resnet50", "kernel_id": "46529706"}, {"ref": "jefferyboczkaja/test-submission", "kernel_id": "46106475"}, {"ref": "dalao1002/cifar-10-object-recognition-in-images", "kernel_id": "47603159"}, {"ref": "avidewan/cifar-10-dataset-using-keras-with-vgg16-model", "kernel_id": "47333009"}, {"ref": "avidewan/cifar-10-dataset-using-pytorch-with-vgg16-model", "kernel_id": "47167426"}, {"ref": "ash757/cifar-10-data-augmentation-val-acc-88", "kernel_id": "47408544"}, {"ref": "rkmajor/offline3", "kernel_id": "47089416"}, {"ref": "rkmajor/notebookd8defb79a2", "kernel_id": "47103004"}, {"ref": "yilinyan/question2", "kernel_id": "47043183"}, {"ref": "mrfeng245/cifar10-with-cnn", "kernel_id": "47613968"}, {"ref": "ahmedmagdyhosney/assignment-3-cifar10-high-accuracy", "kernel_id": "47253348"}, {"ref": "mrahman202/ass-new-3-011202003", "kernel_id": "47995522"}, {"ref": "foysalfahim/cifar-10", "kernel_id": "47929704"}, {"ref": "kaan43/image-classification-with-convolutional-neural-net", "kernel_id": "48545512"}, {"ref": "kaan43/cifar-10-classification-cnn-test-accuracy-91-65", "kernel_id": "48545719"}, {"ref": "skrymr/mldl-cifar10", "kernel_id": "49628560"}, {"ref": "hemalathaaae/cifar-10", "kernel_id": "49773000"}, {"ref": "aakash143rathee/exercise-5", "kernel_id": "49378286"}, {"ref": "xxxxxxxyyyyyyyyy/cifar10-sebastianomorson", "kernel_id": "49823023"}, {"ref": "nonameforyougoodsir/notebook1db5be7a88", "kernel_id": "49822250"}, {"ref": "priyankdl/cifar10-with-transfer-learning-pytorch", "kernel_id": "49927038"}, {"ref": "jerzypawlik/resnet-18-on-cifar-10", "kernel_id": "49326672"}, {"ref": "paulabal/cifar-10-object-recognition", "kernel_id": "49800475"}, {"ref": "alessandromajumba/ex5-ml", "kernel_id": "49822558"}, {"ref": "lorenzozanolin/object-recognition-zanolin", "kernel_id": "49821573"}, {"ref": "artemikonnikov/ex-5-cifar-10", "kernel_id": "49211768"}, {"ref": "revathimuthukrishnan/object-recognition", "kernel_id": "49326677"}, {"ref": "federicoscrobe/5-exercise-ml-dl", "kernel_id": "49764488"}, {"ref": "filipkjellgren/cifar-10-resnet18", "kernel_id": "49629482"}, {"ref": "violetta00/05-cifar10", "kernel_id": "49750390"}, {"ref": "leventeszabo1/ml-dl-cifar-10", "kernel_id": "49843056"}, {"ref": "gaganreddygt/cifar-10", "kernel_id": "49775872"}, {"ref": "deveshsurve/comprehensive-guide-85-acc-cnn-plus-blog-expln", "kernel_id": "50324603"}, {"ref": "hetpatel10/transfer-learning-using-mobilenetv3", "kernel_id": "50975301"}, {"ref": "janamapatel/tlcifar10", "kernel_id": "50975152"}, {"ref": "mattgomogda/image-classification-with-convolutional-neural-net", "kernel_id": "50011151"}, {"ref": "lidailin05/d2l-13-13-kaggle-cifar10", "kernel_id": "51921192"}, {"ref": "yorkyong/exploring-cifar-10-w-mlp-cnn-resnet", "kernel_id": "51919505"}, {"ref": "vatsalvadher/unet-implementation", "kernel_id": "51407102"}, {"ref": "pruthvibpt/cifar", "kernel_id": "51111387"}, {"ref": "abhishekininja101/notebook0c191de77f", "kernel_id": "52422758"}, {"ref": "kirito2op/mean-teacher-in-pytorch", "kernel_id": "52224248"}, {"ref": "amruthsd/mean-teacher", "kernel_id": "52349038"}, {"ref": "carryou/cifar-10-network-training", "kernel_id": "52467955"}, {"ref": "krishadarji12/cifar-10-tl-based-technique", "kernel_id": "52317214"}, {"ref": "tabualkher/resnet50-transfer-learning-with-acc-0-9966", "kernel_id": "53250929"}, {"ref": "adityashah2901/transfer-learning", "kernel_id": "53115101"}, {"ref": "abbasseifossadat/cifar10-image-classification-with-cnns", "kernel_id": "54875182"}, {"ref": "pangasainarendra/image-classification-using-vgg16-and-resnet50", "kernel_id": "54716035"}, {"ref": "cozyhn/cifar10-tree", "kernel_id": "54712576"}, {"ref": "cozyhn/cifar10-svm", "kernel_id": "54712835"}, {"ref": "chizkidd/cifar-10-simple-object-recognition-in-images", "kernel_id": "55997201"}, {"ref": "fatimazahraiguenfer/final-project-4-nn", "kernel_id": "55305548"}, {"ref": "fatimazahraiguenfer/project-4-cnn", "kernel_id": "55281951"}, {"ref": "anuj15shah/resnet50-cifar10-practical", "kernel_id": "55534177"}, {"ref": "rashidalii/resnet-object-detection-with-cifar-10-dataset", "kernel_id": "55202255"}, {"ref": "vrajrafe/5-cifar-transfer-learning", "kernel_id": "55461252"}, {"ref": "yongwookim1/cifar10-pytorch-resnet50-pretrained", "kernel_id": "55701185"}, {"ref": "manojajj/resnet-18-cnn", "kernel_id": "56144834"}, {"ref": "reginamoiseeva/implementing-resnet-18-using-keras", "kernel_id": "56837127"}, {"ref": "golu20201singh/cifar-10-classification-using-ann", "kernel_id": "56687531"}, {"ref": "ayshahaneena/cifar-10-object-recognition", "kernel_id": "56473943"}, {"ref": "furkanblt35/cifar-10-cnn-tensorflow", "kernel_id": "56430838"}, {"ref": "ajinkyakolhe112/cifar10-simple-pytorch-pipeline", "kernel_id": "57664746"}, {"ref": "abrosimovamaria/cifar-attention", "kernel_id": "57249304"}, {"ref": "mohsinsial/dataaugmentation-cifar10-pytorch", "kernel_id": "57452704"}, {"ref": "golu20201singh/cifr10-using-cnn", "kernel_id": "57105539"}, {"ref": "shaiksameerabdulla/cifar-10-cnn", "kernel_id": "57194345"}, {"ref": "vladyslavmustyatsa/cifar-10-object-recognition", "kernel_id": "57393288"}, {"ref": "ajinkyakolhe112/cifar10-simplest-tensorflow-pipeline", "kernel_id": "58269468"}, {"ref": "drkaggle22/cifar-10-dataset-86-accuracy-cnn-with-batchnr", "kernel_id": "58984967"}, {"ref": "ma2567/conv-net-with-acc-70", "kernel_id": "58011621"}, {"ref": "zhangtingyu11/pytorch-resnet-finetune", "kernel_id": "59891841"}, {"ref": "drkaggle22/cifar-10-solution-googlenet", "kernel_id": "59343711"}, {"ref": "niwankapathirathne/image-recognition", "kernel_id": "59918238"}, {"ref": "ankandebnath/cifar-10-object-recognition-in-images", "kernel_id": "60754292"}, {"ref": "ygwhere/resnet-for-cifar10", "kernel_id": "60492008"}, {"ref": "sarveshjoshi10/swin-cifar-10", "kernel_id": "61485930"}, {"ref": "hujimoriizumi/data-science-3", "kernel_id": "61119551"}, {"ref": "zeyadsayedadbullah/cifar10-computer-vision-classification-with-keras", "kernel_id": "61996405"}, {"ref": "drkaggle22/cifar-10-resnet152-97-5-acc", "kernel_id": "61550398"}, {"ref": "alifaridkhan/deep-learning-ann-cnn-indepth", "kernel_id": "61358803"}, {"ref": "s10yyy/datascience-c8-g5-510", "kernel_id": "61584435"}, {"ref": "payashibangi/resnet101-bangirasu", "kernel_id": "61122677"}, {"ref": "payashibangi/vision-transformer-bangirasu", "kernel_id": "61426532"}, {"ref": "soutaohuchi/datascience-c8-g5-ouchi", "kernel_id": "61583889"}, {"ref": "yukiyuri0/data-science-3", "kernel_id": "61583407"}, {"ref": "nanakotojo/2024datascience-c8-g5-1040", "kernel_id": "61584013"}, {"ref": "sarveshjoshi81/vit-cifar-10", "kernel_id": "61336077"}, {"ref": "pranavjha24/cifar-10-classification-using-cnn", "kernel_id": "62550688"}, {"ref": "anuragraj03/cifar-image-prediction", "kernel_id": "62583631"}, {"ref": "bilalsaeed06/object-recognition-cifar-10", "kernel_id": "62769027"}, {"ref": "choyeeun0215/data-science-conformer", "kernel_id": "62010344"}, {"ref": "choyeeun0215/data-science-vit", "kernel_id": "62010309"}, {"ref": "payashibangi/2024datascience-c8-g5", "kernel_id": "62510445"}, {"ref": "ooguri/data-science-3-a351eb", "kernel_id": "62569425"}, {"ref": "ooguri/data-science-3-379007", "kernel_id": "62010459"}, {"ref": "yukiyuri0/data-science-3-135058", "kernel_id": "62010125"}, {"ref": "yukiyuri0/data-science-3-0ef750", "kernel_id": "62422744"}, {"ref": "yt0621/datascience-c5-g8-yokota", "kernel_id": "62566104"}, {"ref": "ryoge610232/data-science-3-comformer", "kernel_id": "62426271"}, {"ref": "crevious/cifar-10-asif", "kernel_id": "63217182"}, {"ref": "keerthanas57/cifar10-n-pairsloss", "kernel_id": "63457602"}, {"ref": "keerthanas57/cifar10-opl", "kernel_id": "63472537"}, {"ref": "keerthanas57/cifar10-supconloss", "kernel_id": "63478560"}, {"ref": "keerthanas57/cifar10-snnl-loss", "kernel_id": "63402734"}, {"ref": "keerthanas57/cifar10-facenet-tripletloss", "kernel_id": "63285250"}, {"ref": "berkayozturkx/cifar-10-classification-witf-cnn", "kernel_id": "63408128"}, {"ref": "ajinkyakolhe112/cifar10-image-classification-with-resnet", "kernel_id": "64884655"}, {"ref": "keerthanas57/cifar10-resnet10-tripletloss", "kernel_id": "64236947"}, {"ref": "keerthanas57/cifar10-reset152-tripletloss", "kernel_id": "64257881"}, {"ref": "ouaraskhelilrafik/cifar-10code", "kernel_id": "64312862"}, {"ref": "robertdabrowski/cifar-10-object-recognition-in-images", "kernel_id": "64763376"}, {"ref": "catmanjr/resnet34-for-cifar-10", "kernel_id": "64246925"}, {"ref": "aldhubri/notebook854a122a20", "kernel_id": "65366638"}, {"ref": "fr4nk01/fork-of-proyecto-final-reconocimiento-de-imagenes", "kernel_id": "65713103"}, {"ref": "fr4nk01/proyecto-final-reconocimiento-de-imagenes", "kernel_id": "65671139"}, {"ref": "sayedsalem/cifar10-using-simple-cnn-with-tensorflow", "kernel_id": "65611088"}, {"ref": "sheemamasood/cifar-10-competition", "kernel_id": "65197465"}, {"ref": "mariabassam/dl-resnet50", "kernel_id": "65276998"}, {"ref": "metinhsimimi/cifar-10-cnn", "kernel_id": "65933207"}, {"ref": "mehreenmubashar/cifar-10-v3", "kernel_id": "66806219"}, {"ref": "aftabashrafav/cifar10", "kernel_id": "66640368"}, {"ref": "rowenn/cifar10-deep-learning-analysis", "kernel_id": "66421796"}, {"ref": "abdulazizalnaimi/notebooka34f1d34ad", "kernel_id": "66823390"}, {"ref": "abdulazizalnaimi/cifar-10", "kernel_id": "66658616"}, {"ref": "loujaienelsherbiny/assignment-5-convnet-with-residual-connections", "kernel_id": "66988720"}, {"ref": "loujaienelsherbiny/challenge-advanced-convnet-training", "kernel_id": "66996245"}, {"ref": "christianmintaraga/cifar-10-classification-w-alexnet", "kernel_id": "66759948"}, {"ref": "christianmintaraga/cifar-10-classification-w-resnet50", "kernel_id": "66685128"}, {"ref": "jalkuwari/cifar-10-resnet50-optuna", "kernel_id": "66707955"}, {"ref": "jalkuwari/cifar-10-optuna", "kernel_id": "66643323"}, {"ref": "andreagobbez/cifas-10-training", "kernel_id": "66274080"}, {"ref": "raeedalsabri/challenge-advanced-convnet-training", "kernel_id": "66828512"}, {"ref": "raeedalsabri/raeed-convnet-residual-connections-assignement-5", "kernel_id": "66775706"}, {"ref": "karimtaha0/cifar-10-resnet50", "kernel_id": "66330646"}, {"ref": "hindabdalla/assignment-5-convnet-with-residual-connections", "kernel_id": "66766501"}, {"ref": "raeedabdumohammed/cifar-10assig-nment", "kernel_id": "66657028"}, {"ref": "raeedabdumohammed/raeed-cifar10-deeplearning-assigment", "kernel_id": "66717983"}, {"ref": "muhammadaqib88621/210088621-convnet-residual-assignement-5", "kernel_id": "66766216"}, {"ref": "laythtesting/cifar-10-layth-assignment", "kernel_id": "66629792"}, {"ref": "alialdhubri/notebook461ab1d4e5", "kernel_id": "66455680"}, {"ref": "alialdhubri/notebook854a122a20", "kernel_id": "66780815"}, {"ref": "hassantariq31/210088620-assignment5-adl", "kernel_id": "66766544"}, {"ref": "saadaal/210068351-assignment-5", "kernel_id": "66956801"}, {"ref": "alra67681/notebook83860d4de6", "kernel_id": "66731701"}, {"ref": "eimanmohammed1/convnet-cifar10", "kernel_id": "66999965"}, {"ref": "eimanmohammed1/cifar-10-classification-resnet50", "kernel_id": "66823155"}, {"ref": "fatmahash123/cifar-10-classification", "kernel_id": "66860140"}, {"ref": "munaalsulaiti/assignment-5-muna-210004201", "kernel_id": "66992193"}, {"ref": "khannoaman/adl-cifar10-210088609", "kernel_id": "66937741"}, {"ref": "ishhbku/finalsubmission", "kernel_id": "66935940"}, {"ref": "ishhbku/updated3", "kernel_id": "66824071"}, {"ref": "ishhbku/notebook60b5e525e4", "kernel_id": "66829093"}, {"ref": "ishhbku/convnet-with-residual-connections", "kernel_id": "66838195"}, {"ref": "laythabuaram/layth-assignments", "kernel_id": "66718006"}, {"ref": "muhammadhanzlatahir/assignment-ml-210067681", "kernel_id": "66776137"}, {"ref": "muhammadhanzlatahir/ali-raza67681-assignmnet", "kernel_id": "66752463"}, {"ref": "laythabuarrammm/layth-s-assignment-cifar-10", "kernel_id": "66861494"}, {"ref": "asma130/dl-cifar10-assignment", "kernel_id": "67002147"}, {"ref": "aldhubri/notebook5f0fa6cfdb", "kernel_id": "67170287"}, {"ref": "mehreenmubashar/cifar10-challenege", "kernel_id": "67385705"}, {"ref": "abdullahelkawakjy/cifar-10-final-submission", "kernel_id": "67041360"}, {"ref": "rizwanqq/challenge-assignment", "kernel_id": "67032413"}, {"ref": "keerthanas57/lift-logitadjustedloss", "kernel_id": "67164278"}, {"ref": "keerthanas57/lift-balancedsoftmaxloss", "kernel_id": "67163684"}, {"ref": "keerthanas57/lift-generalizedreweightloss", "kernel_id": "67162785"}, {"ref": "keerthanas57/lift-classbalancedloss", "kernel_id": "67160832"}, {"ref": "twoimo/1015-cifar10-v1", "kernel_id": "67756846"}, {"ref": "yuriykovalenko/cifar-10-image-classification-sklearn-tensorflow", "kernel_id": "67175075"}, {"ref": "maishaideralkhateeb/ass-5-convnet", "kernel_id": "67021621"}, {"ref": "maryamalmarri/adl-assigment5-maryamal-marri", "kernel_id": "67043907"}, {"ref": "ar33ba/adl-convnet", "kernel_id": "67011587"}, {"ref": "ar33ba/notebook31a074e8d8", "kernel_id": "67734474"}, {"ref": "asmarida/notebookff5ceba6ee", "kernel_id": "67351024"}, {"ref": "asmarida/notebookc39c831fa4", "kernel_id": "67015241"}, {"ref": "hindabdalla/challenge-assignment-advanced-convnet-training", "kernel_id": "67271085"}, {"ref": "muhammadaqib88621/210088621-adl-challenging-assignment", "kernel_id": "67267340"}, {"ref": "alialdhubri/notebooka18eb2a8ba", "kernel_id": "67801122"}, {"ref": "eimanmohammed1/eiman-ch2", "kernel_id": "67904065"}, {"ref": "eimanmohammed1/notebookd6a301beac", "kernel_id": "67924628"}, {"ref": "eimanmohammed1/eiman-moahmmed", "kernel_id": "67924854"}, {"ref": "fatmahash123/fatima-mohammed1", "kernel_id": "67928612"}, {"ref": "fatmahash123/fatima2", "kernel_id": "67000163"}, {"ref": "khannoaman/adl-challengeassignment210088609", "kernel_id": "67932192"}, {"ref": "ishhbku/notebook133b09c156", "kernel_id": "67390473"}, {"ref": "ishhbku/challenge", "kernel_id": "67435501"}, {"ref": "laythabuarramm/layth-assignment-cifar-10-adamw", "kernel_id": "67047731"}, {"ref": "hassantariq31051996/notebook800b05ae78", "kernel_id": "67893767"}, {"ref": "maisalokla/challenge-ma", "kernel_id": "67993615"}, {"ref": "asma130/dl-cifar10-challange2", "kernel_id": "68198054"}, {"ref": "mehreenmubashar/challenge-cifar-10-task", "kernel_id": "68007477"}, {"ref": "mehreenmubashar/challenge-cifar-10-assignment", "kernel_id": "68064942"}, {"ref": "aftabashrafav/challenge-advanced-convnet-training", "kernel_id": "68138725"}, {"ref": "grandwizard/cifar10-classification-with-cnn", "kernel_id": "68105637"}, {"ref": "maryamalmarri/assignment7-adl-maryamalmarri", "kernel_id": "68166246"}, {"ref": "saadaal/210068351-challenge1", "kernel_id": "68076100"}, {"ref": "munaalsulaiti/challenge-muna-alsulaiti", "kernel_id": "68154554"}, {"ref": "munaalsulaiti/challenge-muna", "kernel_id": "68030499"}, {"ref": "maisalokla/notebookc9d8476ae2", "kernel_id": "68015467"}, {"ref": "omama2000/notebook7bb559d1dc", "kernel_id": "68086668"}, {"ref": "ardakshalkarbayuli/notebookf974b7376d", "kernel_id": "69130128"}, {"ref": "edwardombui/cifar-10-image-classification", "kernel_id": "69295809"}, {"ref": "annisadwiseptiani/deep-learning-k4", "kernel_id": "69110182"}, {"ref": "utkuefeakdoan/cifar-10-basic-cnn-model", "kernel_id": "69655859"}, {"ref": "akshatbharara/ciphar-10-classification-using-cnn", "kernel_id": "69325761"}, {"ref": "thienanlnguyen/cifar10-ann-genaralizability-testing-with-ccgs", "kernel_id": "69726799"}, {"ref": "atharvaatulrege/atharva-tbos-task-2-cifar10-cnn", "kernel_id": "69555256"}, {"ref": "exexexes/cifar10", "kernel_id": "69729565"}, {"ref": "rudra29/tbos-cifar-task2", "kernel_id": "70020598"}, {"ref": "mudassarmanzoor/challenge-cifar-10-assignment", "kernel_id": "70766807"}, {"ref": "nbhrjn/cifar10-transfer-learning-resnet-50", "kernel_id": "70895752"}, {"ref": "mustafacivici/cifarten-with-resnet-score-0-93470", "kernel_id": "72846099"}, {"ref": "mynamehasbeentaken/self-supervised", "kernel_id": "72486984"}, {"ref": "vitnguynngc/resnet-18-for-cifar-10-copy", "kernel_id": "72892231"}, {"ref": "christianmintaraga/self-supervised-learning-on-cifar-10", "kernel_id": "72485324"}, {"ref": "senasudemir/image-classification-with-cnn-for-cifar-10-data", "kernel_id": "72859949"}, {"ref": "aschamp/implementing-inpainting-gans", "kernel_id": "73845416"}, {"ref": "cvvcvccvvcvc/cifar-conv", "kernel_id": "73311488"}, {"ref": "icofield/cifar-10-basic-cnn-with-pytorch", "kernel_id": "73948557"}, {"ref": "mustafacivici/cifar-10-data-augmentation-acc-0-889", "kernel_id": "74330272"}, {"ref": "dnieltar/cifar-10-with-cnn-network", "kernel_id": "74690279"}, {"ref": "thanhpham18120567/thanhpham-psld", "kernel_id": "74025774"}, {"ref": "ahmaddeebdev/svu-ite-ann601-hw-s24-ahmad-152818", "kernel_id": "74665967"}, {"ref": "ameerhassan22/cifar-10-cnn", "kernel_id": "74525482"}, {"ref": "vaibhavikhalangre/cifar-10-data-augmentation-acc-0-889", "kernel_id": "74989940"}, {"ref": "anyabest/cifar10-high-accuracy-model-build-on-pytorch", "kernel_id": "75024733"}, {"ref": "samirelawadyelawady/cifar10-custom-resnet-cnn-pytorch", "kernel_id": "76017349"}, {"ref": "harikrushnagoti/cifar-10-mobile-net-resnet-18", "kernel_id": "76346792"}, {"ref": "vamsikrishnapirati/ds-cybersecurity-assignment", "kernel_id": "76709339"}, {"ref": "utkmal/main-cifar-10-using-self-trained-cnn", "kernel_id": "77968259"}, {"ref": "utkmal/cifar-10-using-self-trained-cnn", "kernel_id": "77799072"}, {"ref": "yasmenyasir/notebook16d5437690", "kernel_id": "77204411"}, {"ref": "pawanuikey/cifar-10-image-recognition-using-resnet", "kernel_id": "77354537"}, {"ref": "xunhunh/psld-model", "kernel_id": "78217639"}, {"ref": "kushacharya/notebookcd9c80880e", "kernel_id": "78726214"}, {"ref": "dooooooooog/notebookd2f4ecffb6", "kernel_id": "78752614"}, {"ref": "rudyxx07/cifar10-transfer-learning-dl-exploratory-learning", "kernel_id": "79889954"}, {"ref": "rudyxx07/stacked-autoencoder-dl-exploratory-learning", "kernel_id": "79337588"}, {"ref": "dvavita/timo2-3", "kernel_id": "80710998"}, {"ref": "mayankchotaliya/lab-6-dla", "kernel_id": "80332821"}, {"ref": "vmkhoa28/custom-resnet50-with-adamw", "kernel_id": "80577075"}, {"ref": "vmkhoa28/resnet18-from-scratch-sgd-with-momentum", "kernel_id": "80608469"}, {"ref": "vmkhoa28/3-layer-cnn-with-pooling", "kernel_id": "80418504"}, {"ref": "vmkhoa28/resnet18-from-scratch-with-adamw", "kernel_id": "80725398"}, {"ref": "vmkhoa28/resnet18-pretrained", "kernel_id": "80653028"}, {"ref": "penbenur/object-recognition-in-images", "kernel_id": "80217287"}, {"ref": "winstymintie/vit-cifar10", "kernel_id": "80329964"}, {"ref": "abdelrhmanzain/credit-card-fraud-federated-learning", "kernel_id": "81933073"}, {"ref": "dvavita/timo2-4", "kernel_id": "82068504"}, {"ref": "samarthmishrasamarth/notebook027f548ea5", "kernel_id": "82542066"}, {"ref": "vmkhoa28/custom-resnet50-with-adamw-2", "kernel_id": "82675689"}, {"ref": "alecmuczynski/cnn-vs-vit-demo", "kernel_id": "82187672"}, {"ref": "sayedsaminaderi/cifar-10-cnn-beginner-sami", "kernel_id": "83170895"}, {"ref": "erikvandenbroek/cifar10-90-8", "kernel_id": "84718318"}, {"ref": "yake666/deep-learning-7", "kernel_id": "84288566"}, {"ref": "praneetharao/cifar10-cnn", "kernel_id": "84356008"}, {"ref": "a2628045536/cifar-10", "kernel_id": "84731018"}, {"ref": "justinseby1998/cifar-10-validation-accuracy-0-93-and-ce-0-22", "kernel_id": "85217926"}, {"ref": "btmusic/cifar10-vit-pytorch-97-acc", "kernel_id": "85344082"}, {"ref": "syedalihasnat/ciraf-10-object-detection", "kernel_id": "85529750"}, {"ref": "dawedbenammar/federated-learning-mnist-cifar-10-main", "kernel_id": "85734363"}, {"ref": "fuliuqin/dl-cifar-10", "kernel_id": "85650315"}, {"ref": "wklwkll/sdxx13-13", "kernel_id": "85665817"}, {"ref": "hychhhhh/sdxx-test02", "kernel_id": "85559528"}, {"ref": "heqiunan/kaggle-competition2", "kernel_id": "85141097"}, {"ref": "liaoxingyujiqixuexi/dl-tuxiang", "kernel_id": "85674451"}, {"ref": "zhouzhiquan/dl-13", "kernel_id": "85563357"}, {"ref": "kekebuhuidaogou/cifar-10", "kernel_id": "85703988"}, {"ref": "mujielong/sdxx-cifar-10", "kernel_id": "85483915"}, {"ref": "chenjia123456/cifar-10", "kernel_id": "85744855"}, {"ref": "ycy147/sdxxsy", "kernel_id": "85668813"}, {"ref": "batyrpro/cifar-10-day1", "kernel_id": "85666752"}, {"ref": "trnmtin/cifar-10", "kernel_id": "86474777"}, {"ref": "fwefwefwefw/cifar10-cnn", "kernel_id": "87690255"}, {"ref": "boonhng/implementation-wrn28-10-with-99-train-accuracy", "kernel_id": "88353247"}, {"ref": "akiraxrd/pytorch-tackling-cifar-10-with-vit", "kernel_id": "89363830"}, {"ref": "mohamedmakkiabdelaal/cifar-10-image-classification", "kernel_id": "90679759"}, {"ref": "hanguyen2406/moe-vit", "kernel_id": "91695424"}, {"ref": "laanani92/cifar-10-competition-assignment", "kernel_id": "92578121"}, {"ref": "ashenn/notebookbb089f6f13", "kernel_id": "92868978"}, {"ref": "heatwave114/assignment-4", "kernel_id": "92386135"}, {"ref": "hananmohammad/assignment04", "kernel_id": "92636221"}, {"ref": "zainabali33/cifar-assignment", "kernel_id": "92672937"}, {"ref": "ahmadmohydin/new-task", "kernel_id": "92814316"}, {"ref": "nishantgautam0079/cifar-10-ori-ng", "kernel_id": "92351176"}, {"ref": "hannah52818/dseg660-a3-cifar-10", "kernel_id": "92665455"}, {"ref": "lujayn/notebookc1470b0d8e", "kernel_id": "92951954"}, {"ref": "vishalpainjane/diffusion-model-from-scratch", "kernel_id": "92594999"}, {"ref": "xmohammadasimx/convnet-cifar-10", "kernel_id": "92549044"}, {"ref": "amiraabdalla/convnet-for-cifar10-assignment4", "kernel_id": "92678263"}, {"ref": "fahadalobaidly/competitions-1", "kernel_id": "92368785"}, {"ref": "lynabe/convnet-for-cifar10", "kernel_id": "92917789"}, {"ref": "fahadjufairi/cifar-10-resnet-implement", "kernel_id": "92448362"}, {"ref": "noreldin/cifar10-conv-resnet", "kernel_id": "92847195"}, {"ref": "buthainahalobaidli/dseg-660-assignment-4-convnet-for-cifar10-2", "kernel_id": "92975940"}, {"ref": "khaledhassiba/cifar10-conv", "kernel_id": "92367202"}, {"ref": "quaidiqbal11/adl-convnet-for-cifar10-quaid-iqbal-10089904", "kernel_id": "92931164"}, {"ref": "rashidalobaidli/convnet-for-cifar10", "kernel_id": "92554073"}, {"ref": "souhadebarhim/assignment-4", "kernel_id": "92929773"}, {"ref": "jawdatshaat1/cifar-10-image", "kernel_id": "92645339"}, {"ref": "ahmadalbinali/cifar10-ahmad", "kernel_id": "92639846"}, {"ref": "mudassirmalik92/notebookad76a6b0a3", "kernel_id": "92635037"}, {"ref": "ghanimalebrahim/homework4", "kernel_id": "92640464"}, {"ref": "ghanimalebrahim/homework4a", "kernel_id": "92706900"}, {"ref": "sajnashoukath/new1-assign", "kernel_id": "92995973"}, {"ref": "hassanalsahli/cifar-10-v2", "kernel_id": "92883640"}, {"ref": "yehyaalkuwari/notebook981929ab1f", "kernel_id": "92545682"}, {"ref": "noorasaedalmarri/convnet-for-cifar10", "kernel_id": "92938357"}, {"ref": "heatwave114/assignment-6", "kernel_id": "93613819"}, {"ref": "avishekchy1578/cifar-10-cnn-transfer-learning-object-recognition", "kernel_id": "93214362"}, {"ref": "zainabali33/challenge-assignment1", "kernel_id": "93844596"}, {"ref": "theabah0/assignment-fr-fr", "kernel_id": "93291158"}, {"ref": "hannah52818/dseg660-a5-convnet-with-residual-connections", "kernel_id": "93208157"}, {"ref": "xmohammadasimx/advanced-convnet-training-v4", "kernel_id": "93937907"}, {"ref": "alra67681/notebook6a549f6309", "kernel_id": "93846156"}, {"ref": "amiraabdalla/assignment6", "kernel_id": "93835758"}, {"ref": "fahadalobaidly/fahad-code-competitions-1", "kernel_id": "93593000"}, {"ref": "lynabe/convnet-w-residuals", "kernel_id": "93600890"}, {"ref": "fahadjufairi/advanced-convnet-training", "kernel_id": "93590238"}, {"ref": "fahadjufairi/convnet-with-residual-connections", "kernel_id": "93071607"}, {"ref": "mohamadbahri/notebooke85cba50ed", "kernel_id": "93613378"}, {"ref": "mohamadbahri/notebook4c389cd0d4", "kernel_id": "93094017"}, {"ref": "noreldin/notebooka98ac39651", "kernel_id": "93852681"}, {"ref": "buthainahalobaidli/dseg-660-assignment-5-convnet-2", "kernel_id": "93496362"}, {"ref": "amnaalobaidli/convnet-for-cifar10", "kernel_id": "93016697"}, {"ref": "quaidiqbal11/challenge-assignment-advanced-convnet-training", "kernel_id": "93898856"}, {"ref": "quaidiqbal11/convnet-for-cifar-10-quaid-iqbal-210089904", "kernel_id": "93017248"}, {"ref": "quaidiqbal11/challenge-assignment-advanced-convnet-raining", "kernel_id": "93930670"}, {"ref": "rashidalobaidli/challenge-advanced-convnet-training", "kernel_id": "93895491"}, {"ref": "mudassirmalik92/notebookff8036cc26", "kernel_id": "93000036"}, {"ref": "neamfares/assignment4-convnet-for-cifar10", "kernel_id": "93025846"}, {"ref": "neamfares/assignment5convnetwithresidualconnections", "kernel_id": "93278005"}, {"ref": "mai2025/convnet-cifar-10", "kernel_id": "93022854"}, {"ref": "mai2025/convnet-with-residual-connections", "kernel_id": "93531357"}, {"ref": "noorasaedalmarri/convnet-with-residual-connections", "kernel_id": "93530080"}, {"ref": "hananmohammad/cifar10-challenge-custom-cnn", "kernel_id": "94003459"}, {"ref": "ahmadmohydin/final-project", "kernel_id": "94123543"}, {"ref": "ahmadmohydin/notebookdb6220c844", "kernel_id": "94229956"}, {"ref": "ahmadmohydin/notebook71d6841ed3", "kernel_id": "94158331"}, {"ref": "hannah52818/dseg660-a6-challenge-advanced-convnet-training", "kernel_id": "94643669"}, {"ref": "lynabe/cifar10-challenge-assignment", "kernel_id": "94852083"}, {"ref": "khaledhassiba/challenge-cifar-10", "kernel_id": "94665448"}, {"ref": "fahadkhan100/cifar-10-object-recognition-in-images", "kernel_id": "94871680"}, {"ref": "mmozroot/cifar-10-w-cnn-using-tf", "kernel_id": "94523997"}, {"ref": "mashamiderick/final", "kernel_id": "94102335"}, {"ref": "jawdatshaat1/advanced-convnet-training-final", "kernel_id": "94824665"}, {"ref": "ghanimalebrahim/homework-6", "kernel_id": "94742364"}, {"ref": "ghanimalebrahim/assignment-6a", "kernel_id": "94675124"}, {"ref": "ghanimalebrahim/assignment6", "kernel_id": "94282865"}, {"ref": "hassanalsahli/cifar-10-challenge", "kernel_id": "94326233"}, {"ref": "noorasaedalmarri/advanced-convnet-training", "kernel_id": "94747832"}, {"ref": "ayikoruwinnie/winnie-angucia", "kernel_id": "94112520"}, {"ref": "mudassirsaleem1992/notebook6b75f3893a", "kernel_id": "94385395"}, {"ref": "hannah52818/fork-of-dseg660-a6-challenge-advanced-convnet-tra", "kernel_id": "95245547"}, {"ref": "nnnnvfxcvdx/keras-cnn-practice-with-cifar10-dataset", "kernel_id": "95919563"}, {"ref": "buthainahalobaidli/challenge-1-advanced-convnet-training", "kernel_id": "95044521"}, {"ref": "souhadebarhim/challenge-advanced-convnet-training", "kernel_id": "95165331"}, {"ref": "sajnashoukath/cifar-challenge-1", "kernel_id": "95221865"}, {"ref": "mai2025/advanced-convnet-training", "kernel_id": "95427961"}, {"ref": "violetdynamo/hw-challenge", "kernel_id": "95299344"}, {"ref": "oussamadriouich/tp2-image-mining", "kernel_id": "96574692"}, {"ref": "antoniomartnacua/transfer-learning-with-mobilenetv2", "kernel_id": "96843292"}, {"ref": "fahadalobaidly/fahad-code", "kernel_id": "98014579"}, {"ref": "fa77878988/fbs-2-test", "kernel_id": "98049163"}, {"ref": "fa77878988/fahad-test-5", "kernel_id": "98187011"}, {"ref": "rashidasalobaidli/notebook-rashid", "kernel_id": "98190378"}, {"ref": "teja301105/notebook398b4e7535", "kernel_id": "99893385"}, {"ref": "omarpolatscientist/tiny-vit-cifar-10", "kernel_id": "100000918"}, {"ref": "adhamelmeligy/computer-vision-task", "kernel_id": "101381799"}, {"ref": "wordroid/cifar-10-conv2drbf-st2-dep29", "kernel_id": "103870004"}, {"ref": "mazenabualaz/project-dseg660-cifar-10", "kernel_id": "103085004"}, {"ref": "phucddo/notebookf2e99fa1ee", "kernel_id": "103031560"}, {"ref": "marwinfkp/drawguessaitask1-marwin-241cs134", "kernel_id": "103828894"}, {"ref": "wordroid/cifar-10-conv2drbf-st2-dep29-ret", "kernel_id": "104447659"}, {"ref": "wordroid/cifar10-gkernel-2-features-ensemble-lb-0-93210", "kernel_id": "104090959"}, {"ref": "wordroid/cifar-10-conv2drbf-s2b4-ret2", "kernel_id": "104711124"}, {"ref": "wordroid/cifar-10-conv2drbf-s2b4-ret", "kernel_id": "104648806"}, {"ref": "wordroid/cifar-10-conv2drbf-s2b4", "kernel_id": "104606745"}, {"ref": "wordroid/cifar-10-conv2drbf-st2-dep29-ret3", "kernel_id": "104581789"}, {"ref": "wordroid/cifar-10-conv2drbf-st2-dep29-ret2", "kernel_id": "104546179"}, {"ref": "mohamed444ashraf/cnn-implementation", "kernel_id": "104663812"}, {"ref": "ahmedsayed0007/impelementation-for-cnn-from-scratch", "kernel_id": "104568542"}, {"ref": "wordroid/cifar-10-resnet-s2b3-v2", "kernel_id": "105476599"}, {"ref": "wordroid/cifar-10-resnet-s2b3-v1", "kernel_id": "105476832"}, {"ref": "wordroid/cifar-10-conv2drbf-st2-dep29-ret3-submt", "kernel_id": "105358689"}, {"ref": "wordroid/cifar-10-conv2drbf-s3b3-ep192", "kernel_id": "105284355"}, {"ref": "wordroid/cifar-10-conv2drbf-s3b3-ep256", "kernel_id": "105289942"}, {"ref": "wordroid/cifar-10-conv2drbf-s3b3-ep128", "kernel_id": "105275701"}, {"ref": "wordroid/cifar-10-conv2drbf-s3b3", "kernel_id": "105206650"}, {"ref": "dawudujamaa/ujamaaddds8150-4", "kernel_id": "105642013"}, {"ref": "wordroid/cifar-10-object-recognition-in-images-to-numpy", "kernel_id": "106287659"}, {"ref": "khnguyenne/exploring-cifar-10-w-mlp-cnn-resnet-72108a", "kernel_id": "107254665"}, {"ref": "irtisamalavi/cifar-10-fl", "kernel_id": "107783477"}, {"ref": "alyhamdy/cifar-10", "kernel_id": "110970017"}, {"ref": "benostmanefadhel/benali-maroua", "kernel_id": "110930226"}, {"ref": "rahulkate173/cnn-cifar-10", "kernel_id": "110140965"}, {"ref": "darebaaz/cifar-10-optimization-techniques-comparison", "kernel_id": "111860948"}, {"ref": "cerxxxx/cifar-10", "kernel_id": "111143275"}, {"ref": "sohaibdevv/building-a-tensorflow-neural-network", "kernel_id": "111267678"}, {"ref": "kemaldemirba/cifar-10-autonomous-vision", "kernel_id": "111580837"}, {"ref": "erijnasar/notebookac3694a21d", "kernel_id": "112305367"}, {"ref": "ulkapatel/cnn-with-pytorch", "kernel_id": "114373695"}, {"ref": "ulkapatel/resnet", "kernel_id": "114374292"}, {"ref": "fangdi/lab-w07-202520160365", "kernel_id": "115643312"}, {"ref": "fatihsar/cifar-cnn", "kernel_id": "115005158"}, {"ref": "j00n99/day04", "kernel_id": "115918700"}, {"ref": "anikazarin/qhe-updated-anika", "kernel_id": "115552536"}, {"ref": "sohanuuu/01-data-and-standard-training", "kernel_id": "115387894"}, {"ref": "youssefyasserelsayed/cnn-architecture", "kernel_id": "115745995"}, {"ref": "searain1110/cnn-practice", "kernel_id": "115917746"}, {"ref": "olivia521/day4-test", "kernel_id": "115918805"}, {"ref": "parkminho3/cifar-10", "kernel_id": "115918333"}, {"ref": "narayanacharitha/the-self-pruning-neural-network", "kernel_id": "116722559"}, {"ref": "murtazaabdullah2010/insignia-computer-vision-class", "kernel_id": "116073670"}, {"ref": "adnanemalki/distributed", "kernel_id": "116525053"}, {"ref": "nguyntinduy/final", "kernel_id": "116658730"}, {"ref": "buicongthanh11102007/notebook994b5f4be5", "kernel_id": "116512320"}, {"ref": "whinton/cnn-imageclass", "kernel_id": "117331289"}, {"ref": "hongngcdung/tt-ai-dung", "kernel_id": "118235026"}, {"ref": "ohuykhi/cifar-10", "kernel_id": "119047336"}, {"ref": "sleemhashem/cnn-task", "kernel_id": "119703573"}, {"ref": "thanhx109/phanloaianh1", "kernel_id": "119781117"}, {"ref": "dannypigthomas/cifar-using-effficientnetb0", "kernel_id": "119472486"}, {"ref": "tanayanindyapradipta/edge-kelompok-9", "kernel_id": "119563264"}, {"ref": "huynhtabdung/cifar-lab4", "kernel_id": "120491220"}, {"ref": "tedrosh/notebook63d2e9a09d-th", "kernel_id": "121934004"}, {"ref": "adhiraj4/controlled-dataset", "kernel_id": "121975205"}, {"ref": "winnypolfliet/deeplearn-cifar10", "kernel_id": "121894558"}, {"ref": "nguyenkhanh050510/tt-mlai-b7", "kernel_id": "122992977"}, {"ref": "l077072/cifar10-resnet18", "kernel_id": "122964129"}, {"ref": "haidang180605/mlai-bt7", "kernel_id": "123007536"}, {"ref": "phmtngvyy/tt-mlai-bt7", "kernel_id": "123134876"}, {"ref": "saaaaaaaraaa/dl-ass1-sara", "kernel_id": "124648730"}, {"ref": "rutangpatel/transfer-learning-on-cifar-10-with-mobilenetv2", "kernel_id": "124002207"}, {"ref": "anumnayab/assignment-1-image-classification-with-a-simple-c", "kernel_id": "124662793"}, {"ref": "iramfaria786/dl-faria-assignment-1", "kernel_id": "124747799"}, {"ref": "aishamscs2/cifar10-simple-cnn", "kernel_id": "124656459"}, {"ref": "aaravdc/deep-hw", "kernel_id": "125410425"}, {"ref": "nabinkoirala452/cifar-hw", "kernel_id": "125258476"}, {"ref": "nabinkoirala452/cifar-10-transfer-learning", "kernel_id": "125297812"}, {"ref": "meivelan/notebookf29b1414d2", "kernel_id": "126582440"}, {"ref": "amralhorimy/cifar-10-by-cnn", "kernel_id": "126860747"}, {"ref": "quynhchidinh/cifar10usingsequential", "kernel_id": "127011708"}, {"ref": "mariramm/cifar-10-custom-pytorch-cnn", "kernel_id": "129723248"}, {"ref": "prachi232005/lab-4-dl-241020456", "kernel_id": "131778746"}, {"ref": "alishahroor34060/pytorch-cifar-10-benchmark-cpu", "kernel_id": "132914032"}, {"ref": "alishahroor34060/pytorch-cifar-10-benchmark-single-gpu", "kernel_id": "133444338"}, {"ref": "alishahroor34060/pytorch-cifar-10-benchmark-dual-t4-gpus", "kernel_id": "133444500"}, {"ref": "kadeejatamanna/assignment4", "kernel_id": "134849666"}, {"ref": "ahmad4e8/assignment-4", "kernel_id": "134932671"}, {"ref": "asmaaga/assignment-4", "kernel_id": "134990905"}, {"ref": "ahmedsheikhaini/cifar-10-resnet-18-from-scratch", "kernel_id": "134989925"}, {"ref": "coolkid7/cifar-10", "kernel_id": "134994793"}, {"ref": "rayyanabubakr/cifar-10", "kernel_id": "135247529"}, {"ref": "nadaaboubakr/cifar10-resnet-kaggle", "kernel_id": "135259558"}, {"ref": "roaaelyazori/roaa-elyazori-submission", "kernel_id": "135530146"}, {"ref": "abdullaalkubaisi/cifar10-assignment", "kernel_id": "135493316"}, {"ref": "roudhamohd/cifar-10", "kernel_id": "135481366"}, {"ref": "abulrob/notebookc13b55aa51", "kernel_id": "135096003"}, {"ref": "mohammedabusada/notebookce13bbfcac", "kernel_id": "135497390"}, {"ref": "ihebzouari/cifar10", "kernel_id": "135393785"}, {"ref": "rouaanaim/cifar-10-resnet-18-streaming-backup-rouaa-naim", "kernel_id": "135544046"}, {"ref": "alhasanmahmood/assignment-4-cifar-10-inference", "kernel_id": "135276281"}, {"ref": "yosraelshayeb/cifar-10", "kernel_id": "135357515"}, {"ref": "buthainahalobaidli/dseg660-assignment-4-convnet-for-cifar10-2026", "kernel_id": "135528591"}, {"ref": "buthainahalobaidli/dseg660-assignment-4-convnet-cifar10-2026", "kernel_id": "135557434"}, {"ref": "hassanalansari/cifar-10-convnet-assignment", "kernel_id": "135522965"}, {"ref": "yarakhyara/convnet-cifar10", "kernel_id": "135494226"}, {"ref": "abdulazizalathba/notebook6bd2354cba", "kernel_id": "135387726"}, {"ref": "abubakar777/convnet-for-cifar10-assignment-abu-bakar", "kernel_id": "135487840"}, {"ref": "rahmasoedarnadi/dseg660-assignment4-convnet", "kernel_id": "135406602"}, {"ref": "abdulazizibrahim009/cifar-10", "kernel_id": "135524748"}, {"ref": "planetbox/cifar10-dl-hw", "kernel_id": "135132399"}, {"ref": "hibaghiat/cifar-10-submission", "kernel_id": "135248113"}, {"ref": "alishahroor34060/cifar-10-wideresnet-from-scratch", "kernel_id": "135208437"}, {"ref": "naljaaahmadalmalki/assignment-2-convnet-for-cifar10-2", "kernel_id": "135280529"}, {"ref": "hadiaimtiaz/cifar10-kaggle-competition", "kernel_id": "135363929"}, {"ref": "mohammeddolan/cifar-10-test", "kernel_id": "135283598"}, {"ref": "faal30798/convnet-for-cifar10", "kernel_id": "135329835"}, {"ref": "turkiaalmarri/notebook4a0b6ced21", "kernel_id": "135193743"}, {"ref": "jarallaalmarri/notebook956b4e8546", "kernel_id": "135193750"}, {"ref": "abdullahsheikhiani/convnet-for-cifar10-assignment", "kernel_id": "135410411"}, {"ref": "mohamedjassim7/notebook79de5e2b8b", "kernel_id": "135564350"}, {"ref": "sumayyamabdulrahim/cifar10", "kernel_id": "135371339"}, {"ref": "mozaalsubaiei/cifar10-convnet-moza", "kernel_id": "135528163"}, {"ref": "ferasshaat/cifar10-wideresnet-random-initialization", "kernel_id": "135243067"}, {"ref": "xalooyx2/cifar10-alikhalid", "kernel_id": "135411811"}, {"ref": "buthainahalobaidli/notebookb8b68113a5", "kernel_id": "136235037"}, {"ref": "abdulazizalathba/notebook25068eb4f0", "kernel_id": "136538305"}, {"ref": "faal30798/cifar-challenge", "kernel_id": "136564469"}]}
{"competition_id": "3656", "kernels": []}
{"competition_id": "3670", "kernels": []}
{"competition_id": "3706", "kernels": []}
{"competition_id": "3729", "kernels": []}
{"competition_id": "3731", "kernels": []}
{"competition_id": "3756", "kernels": [{"ref": "jakander/lease-term-prediction", "kernel_id": "1965374"}, {"ref": "panamby/loan-default-prediction", "kernel_id": "2630438"}, {"ref": "shadab123456/loan-default-prediction-new", "kernel_id": "7335240"}, {"ref": "vinaykumars/loan-default-prediction", "kernel_id": "7359603"}, {"ref": "niraligala/loan-default-prediction-n", "kernel_id": "7540987"}, {"ref": "prathyushaprathyu/loan-default-prediction-prathyusha", "kernel_id": "7530938"}, {"ref": "rajvidoshi/loan-default-prediction-with-pca", "kernel_id": "9471475"}, {"ref": "darisdzakwanhoesien2/loan-default-prediction-imperial-college-london", "kernel_id": "10720165"}, {"ref": "abeersaxena/submission-31-08-2020", "kernel_id": "11461727"}, {"ref": "kittiyaneerungon/loan-default-prediction", "kernel_id": "13885246"}, {"ref": "nullsar/loan-default-prediction", "kernel_id": "14430558"}, {"ref": "ramjan135/loan-default-prediction-imperial-college-london", "kernel_id": "15390881"}, {"ref": "moresushil/loan-default-prediction", "kernel_id": "15998750"}, {"ref": "praveengovi/loan-default-prediction-featureengineerning-h2o", "kernel_id": "16674133"}, {"ref": "praveengovi/loan-default-prediction-modeling-automlh2o", "kernel_id": "16629487"}, {"ref": "gunatejas/ml-decision-tree-classifier", "kernel_id": "16988348"}, {"ref": "ajaiswal2309/loan-default-prediction", "kernel_id": "16793859"}, {"ref": "gunatejas/ml-knn", "kernel_id": "17002830"}, {"ref": "gunatejas/ml-naive-bayes", "kernel_id": "17007531"}, {"ref": "solmazha/random-forest", "kernel_id": "17015458"}, {"ref": "solmazha/hist-gradient-boosting-regressor", "kernel_id": "17025325"}, {"ref": "poojashivaswamy/random-forest-model", "kernel_id": "17002750"}, {"ref": "kunalsharma02oct/random-forest", "kernel_id": "20906780"}, {"ref": "chrismw/loan-default-scorecard-model-development", "kernel_id": "23574186"}, {"ref": "kinsiangchia/loan-default-prediction-rf-xg-svr", "kernel_id": "27034998"}, {"ref": "ma12492002/ml-loan-default-prediction", "kernel_id": "29485870"}, {"ref": "ugonna24/ml-knn", "kernel_id": "31139900"}, {"ref": "vivekgonal7/loan-default-prediction-with-pca", "kernel_id": "35533637"}, {"ref": "licgsg/loan-prediction", "kernel_id": "36578970"}, {"ref": "adamsavageau/optimizing-loan-portfolios-regression-techniques", "kernel_id": "38035684"}, {"ref": "samudra89/01-credit-risk-modeling", "kernel_id": "43310124"}, {"ref": "chechica/loan-default-prediction", "kernel_id": "46947376"}, {"ref": "cardata/loan-default-prediction-analysis", "kernel_id": "56255933"}, {"ref": "elnazalikarami/loan-default-prediction", "kernel_id": "85053773"}]}
{"competition_id": "3772", "kernels": []}
{"competition_id": "3774", "kernels": [{"ref": "mpwolke/connectomics-tgz-file", "kernel_id": "39147207"}]}
{"competition_id": "3785", "kernels": []}
{"competition_id": "3788", "kernels": [{"ref": "caoyi41/allstate-pg1", "kernel_id": "7625027"}, {"ref": "chachiawacef/allstate-purchase-prediction", "kernel_id": "13761440"}, {"ref": "akashramugade/notebook8b39a366fd", "kernel_id": "13919305"}, {"ref": "shwetabhujbal/alllstate", "kernel_id": "13927036"}, {"ref": "lleethall/cp3403-data-mining-assignment", "kernel_id": "37191426"}, {"ref": "andrewebenbach/allstate-eda", "kernel_id": "37474276"}, {"ref": "memememesxy/cp3403-all-state-challenge", "kernel_id": "37524090"}, {"ref": "hwloser/notebookb29dff9f73", "kernel_id": "81334605"}, {"ref": "kobrakay/allstate-purchase", "kernel_id": "97265443"}]}
{"competition_id": "3793", "kernels": []}
{"competition_id": "3800", "kernels": [{"ref": "mpwolke/seizure-detection-tar-gz", "kernel_id": "44113977"}]}
{"competition_id": "3810", "kernels": [{"ref": "ynouri/rotten-tomatoes-sentiment-analysis", "kernel_id": "1860696"}, {"ref": "ruchibahl18/cudnnlstm-model", "kernel_id": "2898064"}, {"ref": "mahesharvinds/rotten-tomatoes-movie-review-sentimental-analysis", "kernel_id": "2067772"}, {"ref": "dromosys/fast-ai-movie-review", "kernel_id": "2438310"}, {"ref": "rragasa/sentiment-analysis-rotten-tomatoes-movie-reviews", "kernel_id": "2696081"}, {"ref": "chiranjeevbit/movie-review-prediction", "kernel_id": "2380733"}, {"ref": "stass30/result-0-66-lstm-vs-machine-learning", "kernel_id": "2852181"}, {"ref": "oragula/sentiment-analysis-rotten-tomato-movie-reviews", "kernel_id": "2404350"}, {"ref": "phoenix107/sentiment-analysis-using-lstm", "kernel_id": "2324168"}, {"ref": "joshuasalazar984/rotten-tomato-sentiment-analysis", "kernel_id": "2892834"}, {"ref": "harshitmakkar/sentiment-analysis-on-movie-reviews-nlp", "kernel_id": "3982900"}, {"ref": "pechpilz/sentiment", "kernel_id": "3969357"}, {"ref": "harishreddy18/sentiment-analysis-on-movie-review", "kernel_id": "3995628"}, {"ref": "julienicula/sa-movie-reviews", "kernel_id": "3468269"}, {"ref": "apoorvm/sentiment-analysis-movie", "kernel_id": "4770480"}, {"ref": "ibrahimmukherjee/sentiment-analysis-rotten-tomato-movie-reviews", "kernel_id": "4885008"}, {"ref": "madhavan93/sentiment-analysis-rbf-based-svm", "kernel_id": "4350041"}, {"ref": "nikkisharma536/movie-review-sentiment-deep-learning-fastai", "kernel_id": "4794020"}, {"ref": "pranjalya/movie-reviews", "kernel_id": "4295444"}, {"ref": "anggerridho/uas-matkul-deep-learning", "kernel_id": "4476135"}, {"ref": "ymcdull/bert-experiment", "kernel_id": "5860807"}, {"ref": "tsegaye/sentiment-analysis-on-movie-reviews", "kernel_id": "5741691"}, {"ref": "shibu1707/movie-review-prediction", "kernel_id": "5439350"}, {"ref": "rahulrachakonda/rotten-tomatoes", "kernel_id": "5133133"}, {"ref": "suryayakkanti/sentiment-analysis", "kernel_id": "5184164"}, {"ref": "rick1997/sentiment", "kernel_id": "5523994"}, {"ref": "thuctamh/rotten-tomatoes-sentiment-analysis-medium", "kernel_id": "6889279"}, {"ref": "lbugasu/movie-review-prediction", "kernel_id": "6842117"}, {"ref": "maroberti/fastai-with-transformers-bert-roberta", "kernel_id": "6385650"}, {"ref": "columbine/pytorch-method", "kernel_id": "6823269"}, {"ref": "bokhanh/kernel30366157e7", "kernel_id": "6948921"}, {"ref": "wernerechezuria/sentiment-analysis-movie-reviews", "kernel_id": "7497960"}, {"ref": "hieuvecto/hieuvecto-kernel", "kernel_id": "7014605"}, {"ref": "shrinidhin/rottentomatoes-kernel36a56b9b62", "kernel_id": "7002226"}, {"ref": "hanjoonchoe/movie-sentimental-analysis-lstm-pytorch", "kernel_id": "7056714"}, {"ref": "terminate9298/pytorch-turorials-for-neural-network-cnn-rnn-gan", "kernel_id": "7670761"}, {"ref": "nicholasgah/obtain-optimal-probability-threshold-using-roc", "kernel_id": "8626462"}, {"ref": "ade1963/sentence-transformers-for-sentiment-analysis", "kernel_id": "8364491"}, {"ref": "fangfeigao/movie-sentiment-analysis", "kernel_id": "8353712"}, {"ref": "tuhinssam/rotten-tomatoes-sentiment-analysis", "kernel_id": "8478850"}, {"ref": "ashmitsit/movie-review", "kernel_id": "8345890"}, {"ref": "imsanjoykb/movie-reviews-sentiment-analysis-nlp", "kernel_id": "8901266"}, {"ref": "riacarol/kernel40a3ba1148", "kernel_id": "8009487"}, {"ref": "junentan/yelp-dataset-distilbert", "kernel_id": "8464394"}, {"ref": "sammir/end-to-end-nlp-eda-ml-with-sentiment-analysis", "kernel_id": "9802118"}, {"ref": "nicholasgah/optimal-probability-thresholds-using-pr-curve", "kernel_id": "9107975"}, {"ref": "nicholasgah/nlp-101-bag-of-words-explained", "kernel_id": "9680043"}, {"ref": "adamking11/sentimentanalysis-dataaugmentation", "kernel_id": "9289877"}, {"ref": "beomjin26/movie-review-prediction-with-domain-specific-dict", "kernel_id": "9670935"}, {"ref": "jananisiva/sentiment-analysis", "kernel_id": "9037448"}, {"ref": "naimur978/movie-review-prediction-public-score-0-63464", "kernel_id": "9802035"}, {"ref": "michalbrezk/natural-language-processing-with-bi-gru-top-10", "kernel_id": "9863967"}, {"ref": "dilawarmahmood/sentiment-analysis-on-movie-reviews", "kernel_id": "9152098"}, {"ref": "carmensandiego/keras-bert-tfhub-scores-0-695", "kernel_id": "9612396"}, {"ref": "issactai/sentiment-analysis-on-movie-review", "kernel_id": "9819030"}, {"ref": "pbekins/visualizing-phrase-trees", "kernel_id": "10938916"}, {"ref": "likewar2010/sentiment-analysis-bert-cls", "kernel_id": "10788070"}, {"ref": "philpanic/basic-rnn-cnn-for-review-classification", "kernel_id": "10081240"}, {"ref": "benjaminkz/bert-for-sentiment-analysis", "kernel_id": "10841833"}, {"ref": "muhammadayman/sentiment-prediction-with-nn-and-naive-bayes", "kernel_id": "10478530"}, {"ref": "duonghoanvu1/movie-sentiment-analysis", "kernel_id": "10229160"}, {"ref": "pranavmittal88/movie-time", "kernel_id": "10813157"}, {"ref": "yuluqin/sentence-transformers", "kernel_id": "10277627"}, {"ref": "astronautl/kernel5e7e679136", "kernel_id": "10982355"}, {"ref": "nani2607/notebookcc26528d38", "kernel_id": "11220745"}, {"ref": "av9ash/kernel2eec47644e", "kernel_id": "11139455"}, {"ref": "najiaboo/notebookf251803aab", "kernel_id": "11354257"}, {"ref": "fangfeigao/movie-sentiment-analysis-deep-learning", "kernel_id": "11675039"}, {"ref": "mohanraj7/movie-review-sentiment", "kernel_id": "11141676"}, {"ref": "aczy156/sentiment-analysis-lstm-or-gru", "kernel_id": "11346829"}, {"ref": "razanabudagen/movie-reviews-prediction", "kernel_id": "11041026"}, {"ref": "julianbenny/sentimentanalysis", "kernel_id": "11266342"}, {"ref": "ssingla/multiclass-classification-with-sentenceembeddings", "kernel_id": "12096382"}, {"ref": "jackiey99/fastai-with-transformers-bert-roberta", "kernel_id": "12426113"}, {"ref": "fanbyprinciple/fastai2-movie-end-to-end", "kernel_id": "12551350"}, {"ref": "naim99/keras-bert-tfhub-scores-0-695", "kernel_id": "12300592"}, {"ref": "naim99/bert-keras-ktrain-movie-reviews-classification", "kernel_id": "12288191"}, {"ref": "mitramir5/transformers-with-tensorflow", "kernel_id": "12740731"}, {"ref": "teramera/notebookf31f32c43a", "kernel_id": "12911093"}, {"ref": "roohisharma/movie-review-sentiment-analysis-lstm", "kernel_id": "12981020"}, {"ref": "chachiawacef/sentiment-analysis-on-movie-reviews-65-accuracy", "kernel_id": "13780919"}, {"ref": "arishalam/classification-using-naive-bayes-model", "kernel_id": "13788636"}, {"ref": "colearninglounge/nlp-data-preprocessing-and-cleaning", "kernel_id": "13199375"}, {"ref": "shyambhu/sentiment-classification-using-lstm", "kernel_id": "14301514"}, {"ref": "arko007/sentiment-analysis-rnn", "kernel_id": "14888389"}, {"ref": "ankitkumarsaini/distilbert", "kernel_id": "14955186"}, {"ref": "semenedel/sentiment-analysis-rnn", "kernel_id": "14731079"}, {"ref": "armandmorin/sentiment-analysis-using-lstm-bidirectional", "kernel_id": "14940186"}, {"ref": "odedgolden/sentiment-analysis-with-dimensionality-reduction", "kernel_id": "15403960"}, {"ref": "pasryd/sentiment-analysis-tokenization-and-embeddings", "kernel_id": "15129169"}, {"ref": "somesh1980/exp-12-sentiment-classification-using-lstm", "kernel_id": "15786076"}, {"ref": "vrpirates/all-transformer-interiit", "kernel_id": "15639747"}, {"ref": "subhamsagarpaira/rnn-cnn-sentiment-analysis", "kernel_id": "15375569"}, {"ref": "nishita17/movie-review-sentiment-analysis", "kernel_id": "15922457"}, {"ref": "dawool1218/sentiment-210323-dl-p", "kernel_id": "15372129"}, {"ref": "dhawalsoni/sentiment-analysis", "kernel_id": "15854427"}, {"ref": "rashmi016/movie-review-sentiment-analysis-glove-lstm", "kernel_id": "16798288"}, {"ref": "rohitjagirdar/movie-review", "kernel_id": "16017478"}, {"ref": "emansalah2000/eman-salah", "kernel_id": "16157375"}, {"ref": "alymohamedfarid/sentiment-problem", "kernel_id": "16317390"}, {"ref": "sohailadiab/movie-reviews-data-modeling", "kernel_id": "16960382"}, {"ref": "mahmoudmohamedfarid/notebook4a57066ccf", "kernel_id": "16317389"}, {"ref": "anavan/exp-ml-6", "kernel_id": "17770487"}, {"ref": "omidsaaedi/rotten-tomatoes-random-forest", "kernel_id": "17088220"}, {"ref": "rishik7619/experiment-6-ml-predict-movies", "kernel_id": "17896337"}, {"ref": "kunalraghav/experiment-6-ml-final", "kernel_id": "17804425"}, {"ref": "chromerai/sentiment-analysis-rnn", "kernel_id": "17902537"}, {"ref": "varunsimhareddy/sentiment-analysis-on-movie-reviews-varun", "kernel_id": "17326727"}, {"ref": "bingliangli/movie-review-prediction", "kernel_id": "17293424"}, {"ref": "diyadodwad/notebook072c5509a4", "kernel_id": "17168382"}, {"ref": "sachingupta2212/notebook75d169865b", "kernel_id": "17150016"}, {"ref": "sajjadwasti/rnn-sentiment", "kernel_id": "17990386"}, {"ref": "youssefsoultan/final-model", "kernel_id": "17091956"}, {"ref": "mahmoudmohamedfarid/sentiment-problem-07acce", "kernel_id": "17111701"}, {"ref": "chiahsun/sentiment-analysis-on-movie-reviews-lstm", "kernel_id": "18671870"}, {"ref": "fengsui/sentiment-classify-bert", "kernel_id": "18841228"}, {"ref": "sakshi0100/sentiment-analysis-rnn", "kernel_id": "18118416"}, {"ref": "xevator/notebook168c978a8b", "kernel_id": "18680858"}, {"ref": "aryaadesh/sentiment-rnn", "kernel_id": "18765414"}, {"ref": "chandanakuntala/sentiment-analysis", "kernel_id": "18268846"}, {"ref": "nikhiln2312/sentiment-rnn", "kernel_id": "18382294"}, {"ref": "keerthanamreddy/sentiment-analysis-rnn-week-8", "kernel_id": "18891599"}, {"ref": "shenurisumanasekara/sentiment-analysis", "kernel_id": "19567201"}, {"ref": "kickitlikeshika/bert-for-sentiment-analysis-5th-place-solution", "kernel_id": "19214317"}, {"ref": "akarshu121/fastai-with-transformers", "kernel_id": "19845464"}, {"ref": "mgen2020/senti-analysis-review", "kernel_id": "19538404"}, {"ref": "pranjal6192/notebook27a4cb73de", "kernel_id": "19265806"}, {"ref": "gtskyler/multi-class-movie-reivew-classification-bert-tf", "kernel_id": "20232605"}, {"ref": "kyung2ming/hw-sentiment-analysis-on-movie-reviews", "kernel_id": "20252506"}, {"ref": "srinivasan886/sentiment-analysis-rnn", "kernel_id": "20088850"}, {"ref": "gilbertobernal/movie-sentiment-analysis-model", "kernel_id": "20744709"}, {"ref": "sahilmohsinshah/movie-review-analysis-and-prediction", "kernel_id": "21021874"}, {"ref": "anmolkhullar/distilbert", "kernel_id": "22616911"}, {"ref": "williamheryanto/t11-20170801364", "kernel_id": "22867076"}, {"ref": "zenanhu/movie-review-prediction", "kernel_id": "22129305"}, {"ref": "flafuji/sentiment-analysis-eda-explained", "kernel_id": "22231153"}, {"ref": "abdelrhmanelkhouly/multi-class-movie-reivew-classification-bert-tf", "kernel_id": "22958962"}, {"ref": "svnsdhananjayreddy/sentiment-analysis-on-movie-reviews", "kernel_id": "22727917"}, {"ref": "frhtas/sentiment-analysis-on-movie-reviews-with-bert", "kernel_id": "23097142"}, {"ref": "sohamdas08/senti-analysis-review", "kernel_id": "23413173"}, {"ref": "shengzewang66/fastai-with-transformers-bert-roberta", "kernel_id": "23692653"}, {"ref": "georgesaavedra/best-sentiment-classifier-transformers", "kernel_id": "23803140"}, {"ref": "vimalpillai/movie-sentiment-analysis-using-bert", "kernel_id": "25312932"}, {"ref": "goen01/chapter8-project3-nlp-sentiment", "kernel_id": "25060733"}, {"ref": "jigglediggle1/rnn-sentiment-analysis-on-movie-reviews", "kernel_id": "25970490"}, {"ref": "ishaniarya/ishani-arya-ds", "kernel_id": "25383540"}, {"ref": "vatsalnanda/lab-evaluation-ds", "kernel_id": "25345974"}, {"ref": "anmolikasood/lab-evaluation", "kernel_id": "25411203"}, {"ref": "dhritichopra/notebook5ee61f1f60", "kernel_id": "25413165"}, {"ref": "janhavisharma14/movie-review-sentimental-analysis-assignment", "kernel_id": "25409999"}, {"ref": "kairess/chapter8-project3-nlp-sentiment", "kernel_id": "26765007"}, {"ref": "vatsalnanda/approach-2-deep-learning", "kernel_id": "26226145"}, {"ref": "vatsalnanda/approach-3-pre-trained-models", "kernel_id": "26845618"}, {"ref": "vatsalnanda/approach-1-machine-learning", "kernel_id": "26784414"}, {"ref": "vitaliiveremiienko/lstm-in-pytorch", "kernel_id": "26168094"}, {"ref": "softwarepark/sentiment-analysis-on-movie-reviews", "kernel_id": "26930572"}, {"ref": "limeijin/rnn-cnn", "kernel_id": "26465814"}, {"ref": "gianfrancodemarco99/uniba-nlp2122-demarcoranieri", "kernel_id": "27883760"}, {"ref": "zhengkunzhang/approach-1-fasttext", "kernel_id": "27537130"}, {"ref": "dianalaveena/sentiment-analysis-on-movie-reviews", "kernel_id": "27671443"}, {"ref": "laiscalderado/sentiment-analysis", "kernel_id": "27440831"}, {"ref": "nulldata/few-shot-text-classification-with-setfit", "kernel_id": "28269144"}, {"ref": "rahul17121990/sentiment-reviews", "kernel_id": "28517277"}, {"ref": "yagli18/sentiment-analysis-on-movie-reviews", "kernel_id": "29912917"}, {"ref": "vikaskapur/zeroshotsa", "kernel_id": "30283668"}, {"ref": "vikaskapur/power-of-transfer-learning-score-0-714", "kernel_id": "30289038"}, {"ref": "ervishvanathmetkari/sentiment-analysis-movie-reviews", "kernel_id": "30045913"}, {"ref": "ranxi169/sentiment-classification-using-lstm", "kernel_id": "30632361"}, {"ref": "dianalaveena/sentiment-analysis-on-movies-using-elmo", "kernel_id": "31001897"}, {"ref": "tiwill/tugas-sentiment-analysis", "kernel_id": "32996374"}, {"ref": "gustianaditama/sentiment-analysis-using-lstm", "kernel_id": "32051816"}, {"ref": "faridsyauqinirwan/sentiment-analysist-farid-syauqi", "kernel_id": "32060018"}, {"ref": "dev523/sentiment-analysis-of-movie-reviews", "kernel_id": "32907742"}, {"ref": "naufalalfarisi/sentiment-analysis-task-162012233039", "kernel_id": "32991478"}, {"ref": "arywirakusuma/sentiment-analysis-043-ida-bagus-ary-wirakusuma", "kernel_id": "32993753"}, {"ref": "annasagung/sentiment-analysis-on-movie-reviews-annas", "kernel_id": "32061534"}, {"ref": "zidaneelfaruqi/sentiment-analysis-model-gru-zidane-el-faruqi", "kernel_id": "32064380"}, {"ref": "imamwaliyuddin/tugas-sa-imamwaliyuddinrabbani", "kernel_id": "32050526"}, {"ref": "oliversipangkar/oliver-sipangkar-sa", "kernel_id": "32995083"}, {"ref": "aurelia123/sentimentanalysis-aureliasukianto", "kernel_id": "32047588"}, {"ref": "ptrasy/tugas-7-sentimen-analysis-putri-amanda", "kernel_id": "32062339"}, {"ref": "firdaadhacahyanti/sentiment-analysis", "kernel_id": "32020334"}, {"ref": "intannurrahmania/tugas-sa-intan-nur024", "kernel_id": "32948215"}, {"ref": "dimasdwisaputra/sentiment-analysis-dimas-dwi-saputra-162012233013", "kernel_id": "32994093"}, {"ref": "hamzhrdn/sentiment-analysis-umar-hamzah-ramadhan", "kernel_id": "32964392"}, {"ref": "nabilahluthfianasari/sa-task-006-nabilaluthfianasari", "kernel_id": "32964360"}, {"ref": "juko911/tugas-sentiment-analysis-rizqy-adam", "kernel_id": "32952726"}, {"ref": "ardazaky/sentiment-analysis-062-arda-zaky-rifassyah", "kernel_id": "32983873"}, {"ref": "zzuudd/movie-review-sentiment-analysis-using-lstm", "kernel_id": "32033211"}, {"ref": "atakabadrudduja/notebooke496652e47", "kernel_id": "32061620"}, {"ref": "alexeiabasiman/sentiment-anlysist-alexei-andrei-basiman", "kernel_id": "32058800"}, {"ref": "krisnandaa/sentiment-analysis-on-movie-krisnanda-ahadian", "kernel_id": "32057936"}, {"ref": "aldofdp/sentiment-analysis-aldofdp", "kernel_id": "32060399"}, {"ref": "muhammadzakim/supervised-learning-sentiment-analysis", "kernel_id": "32934024"}, {"ref": "tasyafa/sentiment-analysis-task-162012233030", "kernel_id": "32994529"}, {"ref": "khisbulloh/tugas-sa-muhammad-khisbulloh-asnani-162012233003", "kernel_id": "32999897"}, {"ref": "muhammadyusufihsann/sentiment-analysis-muhammad-yusuf-ihsan", "kernel_id": "32990344"}, {"ref": "player351/new-inference", "kernel_id": "33614837"}, {"ref": "yuanhuanyu/bert-tiny-sentiment-analysis-on-movie-review", "kernel_id": "33456839"}, {"ref": "pranaypandey/sentiment-analysis", "kernel_id": "33079852"}, {"ref": "danieldolries/danieldolriesimanjuntak-cnn-unfinished", "kernel_id": "33002466"}, {"ref": "tabahjatmiko/sentiment-analysis-on-movie-review-tabah-jatmiko", "kernel_id": "33001717"}, {"ref": "nadineamalia/sa-homework-045", "kernel_id": "33002440"}, {"ref": "amirkonjkav/sentiment-analysis-of-movie-reviews-transformers", "kernel_id": "34339660"}, {"ref": "fikririyadi1/sentiment-analysis-movie-fikri-riyadi", "kernel_id": "34543288"}, {"ref": "beydaguler/sentiment-analysis-on-movie-reviews", "kernel_id": "34698246"}, {"ref": "anshalsingh/sentiment-analysis", "kernel_id": "35423426"}, {"ref": "apurvayadav29/text-classification-with-bert", "kernel_id": "35731188"}, {"ref": "vikkach/sentiment-analysis-lstm-pytorch", "kernel_id": "36818683"}, {"ref": "gastonmichelotti/sentiment-analysis-movie-review", "kernel_id": "36524154"}, {"ref": "oosurtroo/udemy-project", "kernel_id": "36890645"}, {"ref": "vikkach/sentiment-analysis-transfer-learning", "kernel_id": "37225590"}, {"ref": "eavprog/sentiment-analysis-of-movie-reviews", "kernel_id": "38801936"}, {"ref": "alawdisoft/sentimental-analysis-on-movie-reviews", "kernel_id": "38614781"}, {"ref": "maddalasravani/sentiment-analysis-on-movie-reviews", "kernel_id": "39027515"}, {"ref": "nj2684/sentiment-movie-analysis-naman", "kernel_id": "39868033"}, {"ref": "sounishnath003/huggingface-pytorch-lightning-distilbert-optimized", "kernel_id": "40386873"}, {"ref": "samh0ng/sentiment-analysis-on-movie-reviews", "kernel_id": "41661037"}, {"ref": "helenzn/sentiment-analysis", "kernel_id": "42326258"}, {"ref": "nkemloveth/sentiment-analysis-on-movie-reviews", "kernel_id": "43558871"}, {"ref": "joanmalibari/sentiment-analysis-on-movie-reviews-with-ltsm", "kernel_id": "43043994"}, {"ref": "jaymanvirk/performance-comparison-nmf-vs-kmeans", "kernel_id": "44572158"}, {"ref": "shayaanemran/emran-shayaan-01", "kernel_id": "45495762"}, {"ref": "dinmohammaddohan/sentiment-analysis-of-movie-reviews-using-nlp", "kernel_id": "46904536"}, {"ref": "booleanwolf/sentiment-analysis", "kernel_id": "46080372"}, {"ref": "panutchakornleklert/sentiment-prediction-with-nn-and-naive-bayes", "kernel_id": "47402480"}, {"ref": "amuhialdeen/transformer-sentiment-model-movie-reviews", "kernel_id": "48137687"}, {"ref": "kamuifin/movie-reviews-sentiment-analysis-with-lstm", "kernel_id": "49294082"}, {"ref": "huseyincenik/transformers-for-sentiment-classification-1", "kernel_id": "49211585"}, {"ref": "zhiyongfeng/debert-sentiment-analysis-on-movie-reviews", "kernel_id": "49560327"}, {"ref": "arshiyakishore/sentiment-analysis-on-movie-reviews", "kernel_id": "50848147"}, {"ref": "liguochun/sentiment-analysis-ml", "kernel_id": "50199401"}, {"ref": "huseyincenik/transformers-for-sentiment-classification-2", "kernel_id": "51042996"}, {"ref": "vaktievvel/fine-tuning-for-bert", "kernel_id": "51840759"}, {"ref": "alion1/fdu-nlp-beginner-task1-task2", "kernel_id": "52569317"}, {"ref": "ryanbell62101/naive-bayes-with-bag-of-stemmed-words", "kernel_id": "53254517"}, {"ref": "omarelg/sentiment-analysis-on-movie-reviews", "kernel_id": "56761353"}, {"ref": "zoyadakhovnyk/sentiment-analysis-with-an-rnn", "kernel_id": "56152675"}, {"ref": "oleksiivalitov/sentimental-analysis-rnn", "kernel_id": "57970783"}, {"ref": "sasayaka/movie-reviews-bert-simple-lightgbm", "kernel_id": "60063359"}, {"ref": "somyay/movie-review-prediction", "kernel_id": "62140950"}, {"ref": "dane204/sentiment-classifier-transformers-dat-project", "kernel_id": "62124003"}, {"ref": "jiayiko/sentiment-analysis-deep-learning", "kernel_id": "65896788"}, {"ref": "woaixuexiaaa/lstm-classification", "kernel_id": "66372234"}, {"ref": "tnthnhneee/gpt2-for-sentiment-analysis", "kernel_id": "67973704"}, {"ref": "emangope/sentiment-analysis", "kernel_id": "68007520"}, {"ref": "chelbizineb/sentiment-analysis-of-movie-reviews", "kernel_id": "71566810"}, {"ref": "lengchaihui/sentiment-analysis-using-naive-bayes", "kernel_id": "71063539"}, {"ref": "huseyincenik/thesis-web-scraped-modeling-1-transformers", "kernel_id": "72510156"}, {"ref": "csmohamedayman/ml-catg-nlp-sentiment-analysis-on-movie-review", "kernel_id": "77580319"}, {"ref": "csmohamedayman/eda-txt-sentiment-analysis-on-movie-review", "kernel_id": "77537687"}, {"ref": "seektruth111/notebookaf1792d32e", "kernel_id": "79761085"}, {"ref": "seektruth111/notebook721c8e53c7", "kernel_id": "79977478"}, {"ref": "icomert/movie-reviews-nlp", "kernel_id": "79496203"}, {"ref": "ugurcan95/movie-reviews-sentiment", "kernel_id": "81134155"}, {"ref": "threedot14sdu/bekbol-bolatov-final-spring-25", "kernel_id": "82899385"}, {"ref": "capkstj/notebookc5da63ea90", "kernel_id": "83925142"}, {"ref": "jollyreap/logistic-regression-movie-reviews-solution", "kernel_id": "84593692"}, {"ref": "vermilion000/sentiment-analysis", "kernel_id": "86349412"}, {"ref": "sayedsalem/sentiment-analysis-on-movie-reviews", "kernel_id": "88252896"}, {"ref": "reemkasaab/rotten-tomatoes-sentiment-analysis-using-rnn", "kernel_id": "88221899"}, {"ref": "abdullrahmantarek/classification", "kernel_id": "88221276"}, {"ref": "marwaahmadallaway/marwa-ahmad-classification-using-rnn-lstm-train", "kernel_id": "88222228"}, {"ref": "marwaahmadallaway/marwa-ahmad-classification-using-rnn-lstm-test", "kernel_id": "88240371"}, {"ref": "alfradashraf/rnn-classification-30-7-drmenna", "kernel_id": "88223782"}, {"ref": "frankmandele/tf-idf-logistic-regression-baseline", "kernel_id": "93481571"}, {"ref": "arvapallimanikanta/sentiment-analysis-on-movie-reviews", "kernel_id": "94709375"}, {"ref": "kharshavardhannaidu/movie-review", "kernel_id": "95052396"}, {"ref": "christinemarypaul/classification-using-rnn", "kernel_id": "95907329"}, {"ref": "lohithmorampudi/sentiment-analysis-on-movie-reviews", "kernel_id": "95052850"}, {"ref": "fahadjufairi/final-project", "kernel_id": "101658465"}, {"ref": "yahyakemaluybadin/rewiev-sentiment-analysis", "kernel_id": "108840055"}, {"ref": "enesyama/nlp-sentiment-analysis", "kernel_id": "109091595"}, {"ref": "cerxxxx/sentiment-analysis-on-movie-reviews", "kernel_id": "110997158"}, {"ref": "artofintelligence/sentiment-ana-simplernn", "kernel_id": "114549848"}, {"ref": "arifmohamedkhan/ist-664-final-project", "kernel_id": "115821313"}, {"ref": "gogotchuri/movie-reviews-bi-directional-lstm", "kernel_id": "116191011"}, {"ref": "whinton/hintonwdds8150-6a", "kernel_id": "118225786"}, {"ref": "basaktamer/sentiment-analysis-on-movie-reviews", "kernel_id": "118805486"}, {"ref": "tedrosh/notebook87a382df87-5", "kernel_id": "122095320"}, {"ref": "parinranjan/moviereviews", "kernel_id": "124613581"}, {"ref": "arusharya345/arush-arya-sentiment-analysis", "kernel_id": "124818185"}, {"ref": "huanglaishi/notebook2fce255acc", "kernel_id": "124743382"}, {"ref": "samratrm/movie-reviews-sa-naive-bayes", "kernel_id": "126386745"}, {"ref": "ahmed1metawea/end-to-end-nlp-preprocessing-to-classification", "kernel_id": "129556911"}, {"ref": "p1nkk1u/mhc-baseline-bert", "kernel_id": "133125012"}, {"ref": "teudepdzai/mhc-baseline-bert", "kernel_id": "133115312"}]}
{"competition_id": "3814", "kernels": []}
{"competition_id": "3816", "kernels": [{"ref": "nachogarcia88/walmart-nacho-2", "kernel_id": "1875783"}, {"ref": "naresh31/walmart-recruiting-store-sales-forecasting", "kernel_id": "2587471"}, {"ref": "andredornas/tp2-walmart-sales-forecast", "kernel_id": "2110762"}, {"ref": "abhishekshambhu/walmartsales1", "kernel_id": "3760785"}, {"ref": "lalitha1729/walmart-sales-prediction", "kernel_id": "5224290"}, {"ref": "yepp2411/walmart-prediction-1-eda-with-time-and-space", "kernel_id": "5428146"}, {"ref": "liyapranay/data-preprocessing-feature-selection-prediction", "kernel_id": "5852901"}, {"ref": "charan977/kernel70da7c355c", "kernel_id": "5788444"}, {"ref": "jevonlee001/walmat-rfr", "kernel_id": "5237267"}, {"ref": "fnguyen/r-xgb-approach", "kernel_id": "5828140"}, {"ref": "akksutra96/fork-of-machine-learning-models-on-walmart-data", "kernel_id": "6765874"}, {"ref": "aswathikv/walmartrecruiting", "kernel_id": "6733236"}, {"ref": "nitinx/storesales-randomforest-light-gbm-stacking", "kernel_id": "6438529"}, {"ref": "sabinhashmi/walmart-sales-forecast", "kernel_id": "6733241"}, {"ref": "alieshghizadeh/kernel75d8ab3835", "kernel_id": "6127903"}, {"ref": "alexd321/weekly-sales-forecast", "kernel_id": "6457885"}, {"ref": "balaji03/walmart-store-sale", "kernel_id": "6702836"}, {"ref": "ejkim0121/walmart-recruiting", "kernel_id": "6213142"}, {"ref": "idolaspecus/walmart", "kernel_id": "6943415"}, {"ref": "mansurova/kernel2da8415d9b", "kernel_id": "7902816"}, {"ref": "venky12347/walmart-analysis", "kernel_id": "7320611"}, {"ref": "bonesliu10318/visualization-walmart-store-sales-forecasting", "kernel_id": "7041587"}, {"ref": "choijh9404/day2-walmart", "kernel_id": "7991496"}, {"ref": "givemetart/kernel108f2d7d48", "kernel_id": "7618792"}, {"ref": "rodolfoviana/store-sales-forecasting-ead-modelo-avalia-o", "kernel_id": "8587826"}, {"ref": "jagannathrk/walmart-recruiting", "kernel_id": "8322473"}, {"ref": "abefukasawa/walmart-recruiting-draft", "kernel_id": "8328137"}, {"ref": "gisellefalcao/wallmart-data", "kernel_id": "8389711"}, {"ref": "fabianaboldrin/challenge-solution", "kernel_id": "8251915"}, {"ref": "cmcoutosilva/zedelivery-r", "kernel_id": "8822495"}, {"ref": "cmcoutosilva/zedelivery-python", "kernel_id": "8791298"}, {"ref": "guidolino/envioz-teste", "kernel_id": "8848729"}, {"ref": "trigueiroangelo/walmart-prediction-sales", "kernel_id": "8697846"}, {"ref": "tighu94/final-o9solutions-ka", "kernel_id": "8038997"}, {"ref": "marceelrf/ze-tryout-marcel", "kernel_id": "8796022"}, {"ref": "sinchir0/walmart-dataread", "kernel_id": "8096511"}, {"ref": "giuliosanto/walmart-sales-forecasting", "kernel_id": "8721613"}, {"ref": "ggludwig/simple-randomforest", "kernel_id": "8585252"}, {"ref": "avelinocaio/walmart-store-sales-forecasting", "kernel_id": "8725242"}, {"ref": "simonstochholm/walmart-sales-forecast-gammel", "kernel_id": "8666356"}, {"ref": "alro10/walmart-ds-challenge", "kernel_id": "8743093"}, {"ref": "guilhermecosti/walmart-recruiting-store-sales-forecasting", "kernel_id": "8281943"}, {"ref": "michellgermano/wallmart-challenge", "kernel_id": "8722373"}, {"ref": "takeru999/kernel3febf8ee4b", "kernel_id": "8180676"}, {"ref": "takeru999/walmart-xetratreesregressor", "kernel_id": "8180718"}, {"ref": "mrqueiroz/7days-challenge", "kernel_id": "8250286"}, {"ref": "shinbg/walmart-sales-easy-to-predict-use-randomforest", "kernel_id": "8563200"}, {"ref": "raphael04/ze-case-raphael", "kernel_id": "8678159"}, {"ref": "renatorangel/random-forest-regression", "kernel_id": "9217779"}, {"ref": "ch00226855/walmartimputationtf1", "kernel_id": "9177127"}, {"ref": "ch00226855/walmartimputation", "kernel_id": "9173156"}, {"ref": "deeptiagl/sarimax-vs-prophet-vs-random-forest", "kernel_id": "9461425"}, {"ref": "priscilaportela/desafio-priscilaportelacosta", "kernel_id": "9463807"}, {"ref": "priyasam9/walmartimputationtf1-evogan-partial-l1-pruning", "kernel_id": "9256294"}, {"ref": "priyasam9/walmartimputationtf1-evogan-complete1-l1", "kernel_id": "9255780"}, {"ref": "priyasam9/walmartimputationtf1-evogan-partial-l1", "kernel_id": "9256026"}, {"ref": "priyasam9/walmartimputationtf1-evogan-baseline", "kernel_id": "9256373"}, {"ref": "priyasam9/walmartimputationtf1-evogan-complete-l1-pruning", "kernel_id": "9255691"}, {"ref": "ritikdhingra/walmartsales-forecsting", "kernel_id": "9994570"}, {"ref": "patryckaug/walmart-sales-forecast-crisp-dm", "kernel_id": "9609450"}, {"ref": "danielmille/daniel-mille", "kernel_id": "9892539"}, {"ref": "gyongsoksong/walmart-baseline-v0", "kernel_id": "9367694"}, {"ref": "mustaphaelmliles/store-sales-forecasting-discount-strategy", "kernel_id": "9029815"}, {"ref": "moradfahmi/walmart", "kernel_id": "9619439"}, {"ref": "rodrigocostalomonaco/predicting-sales-challenge", "kernel_id": "9742692"}, {"ref": "ivopdm/walmart-sales-forecast", "kernel_id": "10496289"}, {"ref": "talestsp/forecasting", "kernel_id": "10566363"}, {"ref": "talestsp/my-dao", "kernel_id": "10566421"}, {"ref": "talestsp/eda-charts-free-text-notes", "kernel_id": "10589710"}, {"ref": "sridharaddagatla/walmart-sale-price-pred", "kernel_id": "10430084"}, {"ref": "tbuzze/thiago-maur-cio-study-case", "kernel_id": "10460038"}, {"ref": "tflima/predicting-sales-linear-regression-plus-xgboost", "kernel_id": "10191406"}, {"ref": "odezi45/wallmart-store-sale-prediction-xgboost", "kernel_id": "10308204"}, {"ref": "thiagoclm/wallmart-weeklysales", "kernel_id": "10242514"}, {"ref": "vtaquet/1st-analysis-of-the-walmart-sales", "kernel_id": "10693829"}, {"ref": "caesarlupum/walmart-store-sales-forecasting-anomaly-analysis", "kernel_id": "10037296"}, {"ref": "shanmuhapriyaaraju/walmart-sales-forecast", "kernel_id": "10865132"}, {"ref": "jonasmok/kernel-jonas-recrut-test", "kernel_id": "10474761"}, {"ref": "cfsantos/wallmart-prediction-for-ze-delivery", "kernel_id": "11589530"}, {"ref": "otaviocv/walmart-recruiting-sales-forecasting-otaviocv", "kernel_id": "11488887"}, {"ref": "bambrozim/ze-delivery-data-science-challenge", "kernel_id": "11714919"}, {"ref": "gllima/forecastze", "kernel_id": "11731010"}, {"ref": "mauricio14/zedelivery-mauricionascimento", "kernel_id": "11540117"}, {"ref": "datamany/random-forest-rnn-walmart-sales-forecast", "kernel_id": "11651379"}, {"ref": "ggolle/simple-walkthrough-walmart-sales-forecasting", "kernel_id": "11545624"}, {"ref": "akhilkasare/walmart-sales-forecasting-with-99-accuracy", "kernel_id": "11597279"}, {"ref": "satyaprakash13820/wallmart-sales-prediction", "kernel_id": "11682332"}, {"ref": "shimmerlee13/walmart-recruiting-store-sales-forecasting", "kernel_id": "11413699"}, {"ref": "lynnshin/notebook3279344f86", "kernel_id": "11767374"}, {"ref": "nikitakpanov/sales-forecast-walmart", "kernel_id": "11955545"}, {"ref": "marianadehon/walmart-store-sales-forecasting", "kernel_id": "12558830"}, {"ref": "ashiqueeelahi/walmart-sales-pediction-simple-regression-techs", "kernel_id": "12741215"}, {"ref": "nikita171096/walmart-sales-forecast", "kernel_id": "12547056"}, {"ref": "iamupd/walmart-sales-randomforest", "kernel_id": "12696644"}, {"ref": "b1u3b01t/machine-learning-project-sales-forecasting", "kernel_id": "12439876"}, {"ref": "gerardstudent/sales-forecast-walmart", "kernel_id": "12833390"}, {"ref": "mohamedhasballa/walmart-sales-forecasting", "kernel_id": "12345993"}, {"ref": "chananna/walmartrecurit-fin", "kernel_id": "13035278"}, {"ref": "dawool1218/walmart-210124-ml-p", "kernel_id": "13699828"}, {"ref": "harishankarsahu/walmart-sales-problem-regression-style", "kernel_id": "14608195"}, {"ref": "talodepontesoliveira/wallmart-recruiting-store-sales-forecasting", "kernel_id": "14128211"}, {"ref": "kaanakkartal/forecast-with-lm-dec-tree-xg-boost-light-gbm", "kernel_id": "14502629"}, {"ref": "felipechupel/rf-and-prophet", "kernel_id": "14767113"}, {"ref": "issactoast/walmart-baseline-with-tidymodels", "kernel_id": "15184509"}, {"ref": "issactoast/statistics-playbook-r-2", "kernel_id": "15971380"}, {"ref": "issactoast/korean-elaticnet-with-tidymodels", "kernel_id": "15801629"}, {"ref": "issactoast/back-to-the-basic-group-mean-will-beat-you-hard", "kernel_id": "15868368"}, {"ref": "fernandolkf/extraction", "kernel_id": "15417265"}, {"ref": "williana/walmart-store-sales-forecasting", "kernel_id": "15002109"}, {"ref": "alinegoulart/walmart-store-sales-forecasting", "kernel_id": "15016279"}, {"ref": "shahalk/notebookce1c1a621d", "kernel_id": "15594401"}, {"ref": "caiovellosa/ccmv-walmart-store-sales-forecasting", "kernel_id": "15443465"}, {"ref": "malusswolf/notebook92c952a288", "kernel_id": "16861463"}, {"ref": "arimaha/sary-maha-arifi", "kernel_id": "16497705"}, {"ref": "ayushikaushik/eda-modelling-cross-validation", "kernel_id": "16178542"}, {"ref": "avtshubhash/walmart-sales-prediction-regression-analysis", "kernel_id": "16799223"}, {"ref": "vinayharyan/learn-walmart-store-sales-forecasting", "kernel_id": "16882253"}, {"ref": "divsgarg/walmart-store-sales-prediction", "kernel_id": "16147260"}, {"ref": "kyuhwanjung2/walmart-week1", "kernel_id": "16038762"}, {"ref": "masoomprince/walmart-store-sales-forecasting", "kernel_id": "16726039"}, {"ref": "marcelfigueredo/marcel-walmart-sales", "kernel_id": "17643105"}, {"ref": "hariwu1995/walmart-sales-forecast-tsai", "kernel_id": "17264104"}, {"ref": "hariwh0/walmart-sales-forecast-tsai-with-historical-data", "kernel_id": "17281284"}, {"ref": "hariwh0/walmart-sales-forecast-tsai", "kernel_id": "17214558"}, {"ref": "hariwh0/walmart-sales-forecast-fb-prophet-vs-sarima", "kernel_id": "17175230"}, {"ref": "khaboudsaid/notebook7a3617dbb5", "kernel_id": "17730445"}, {"ref": "parkdonggyu/walmart-final-v3-0", "kernel_id": "17542028"}, {"ref": "fernandalopez98/ventas-walmart-regresi-n", "kernel_id": "17863260"}, {"ref": "ishamadan/notebook987ffe1208", "kernel_id": "18964654"}, {"ref": "goen01/kird-stats2-ml-walmart", "kernel_id": "18529795"}, {"ref": "aaquibsiddiqui/eda-walmart-sales", "kernel_id": "18276922"}, {"ref": "wesleydecezere/notebookdfc8ae97a1", "kernel_id": "18017208"}, {"ref": "dwihdyn/simplest-beginner-friendly-sales-forecasting", "kernel_id": "19201087"}, {"ref": "sourav3366/randomforest", "kernel_id": "19608488"}, {"ref": "thasnihakeem/walmart-recruiting-store-sales-forecasting-predict", "kernel_id": "19902643"}, {"ref": "maxdiazbattan/wallmart-sales-top-3-eda-feature-engineering", "kernel_id": "19527047"}, {"ref": "leandrozanon/wallmart-case", "kernel_id": "20408643"}, {"ref": "caioquini/walmart-sales-forecasting", "kernel_id": "20814752"}, {"ref": "phillipesavelkoul/walmart-recruiting-store-sales-forecast", "kernel_id": "20738591"}, {"ref": "kunwarakash/walmart-sales-forecast-by-xgb-boost-ml-model", "kernel_id": "20365572"}, {"ref": "haderazzini/1-case-ze-delivery-11-09-2021", "kernel_id": "20462543"}, {"ref": "yasirhussain1987/eda-and-store-sales-predictions-using-xgb", "kernel_id": "20068226"}, {"ref": "cesardhe/salesforecasting-lr-gbr-xgb-randomforest", "kernel_id": "20889648"}, {"ref": "kyuhwanjung2/walmart-week1-1", "kernel_id": "21092663"}, {"ref": "kyuhwanjung2/walmart-10-13", "kernel_id": "21196792"}, {"ref": "luccachoi/walmart-sales-forcast", "kernel_id": "22693131"}, {"ref": "shazrafurqan/walmart-recruiting-store-sales-forecasting", "kernel_id": "22694834"}, {"ref": "chongzhenjie/walmart-store-sales-forecasting-in-r", "kernel_id": "23691853"}, {"ref": "manuelbustamante1993/manuel-bustamante-walmart", "kernel_id": "23625016"}, {"ref": "lfrias/notebook39e5815083", "kernel_id": "25770929"}, {"ref": "marendo/walmart-sales-forecast", "kernel_id": "25806788"}, {"ref": "raghuvirreddy/walmart-store-sales-forecasting", "kernel_id": "25285888"}, {"ref": "msilva1/notebook18c4aebb22", "kernel_id": "26639724"}, {"ref": "ruandoc/walmart-challenge", "kernel_id": "26755455"}, {"ref": "parisrohan/rp-walmart-sales-forecast", "kernel_id": "26267944"}, {"ref": "kyuhwanjung2/walmart-0429", "kernel_id": "26656372"}, {"ref": "phamvudung/ptnvtm", "kernel_id": "26893269"}, {"ref": "anushkaml/walmart-time-series-sales-forecasting", "kernel_id": "26805978"}, {"ref": "jacobreprogle/walmart-sales-forecasting", "kernel_id": "26379684"}, {"ref": "joaomantoan/walmart-sales-forecasting", "kernel_id": "26617662"}, {"ref": "portya/walmart-store-sales-forecasting", "kernel_id": "26693154"}, {"ref": "filipeasantos/walmartrecruiting-storesalesforecasting", "kernel_id": "26940855"}, {"ref": "weryques/walmart-weekly-sales-forecasting", "kernel_id": "27835299"}, {"ref": "cabruto/walmart-modeling-eda-binary-encoding", "kernel_id": "27504716"}, {"ref": "mailazorzan/walmart-time-series-sales-forecasting", "kernel_id": "27251737"}, {"ref": "gabsilcos/case-gabsilcos", "kernel_id": "27609733"}, {"ref": "jbardl/walmart-forecasting-with-randomforest", "kernel_id": "27020695"}, {"ref": "marxcerqueira/walmart-store-sales-prediction-marx-cerqueira", "kernel_id": "27484324"}, {"ref": "fabiobrisa/walmart-recruiting-store-sales-forecasting", "kernel_id": "27661495"}, {"ref": "marcovanbrain/walmart-recruiting-store-sales-forecasting-marco", "kernel_id": "27306281"}, {"ref": "willnery/wallmart-test-case", "kernel_id": "27408481"}, {"ref": "elliotts1/walmart-v6", "kernel_id": "27483876"}, {"ref": "carolvargas/walmart-forecasting", "kernel_id": "27548755"}, {"ref": "mnveloso/walmart-recruiting-store-sales-forecasting-mnv", "kernel_id": "28137229"}, {"ref": "malcolmtan/walmart-prediction-best-score", "kernel_id": "28175631"}, {"ref": "daniellb/notebookd89c23f813", "kernel_id": "28374439"}, {"ref": "gustavohochgraf/gustavo-walmart-sales-prediction", "kernel_id": "28388812"}, {"ref": "gisellecastro/case-walmart-weekly-sales-forecasting", "kernel_id": "28076652"}, {"ref": "jcezarms/walmart-sales-refurbished-learning", "kernel_id": "29516106"}, {"ref": "kyuhwanjung2/walmart-2023", "kernel_id": "29501334"}, {"ref": "brunalemberck/notebook5b393feac4", "kernel_id": "29796551"}, {"ref": "marianakralco/walmart-forecasting-decision-tree-regression", "kernel_id": "29606573"}, {"ref": "sushsubhash/walmart-weekly-sales-prediction-using-r", "kernel_id": "29046052"}, {"ref": "dominicpeng/walmart-store-sales-forecasting", "kernel_id": "29663399"}, {"ref": "jozianimotavieira/notebook-joziani-vieira-previsao-demanda", "kernel_id": "29465433"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "vijaykumarphy068/eda-and-store-sales-predictions-using-xgb", "kernel_id": "30388173"}, {"ref": "shreya19cs092/walmart-sales-forecasting-with-99-accuracy", "kernel_id": "30609369"}, {"ref": "hamadandrabi/wallmart-sales-top-3-eda-feature-engin-917330", "kernel_id": "31654005"}, {"ref": "tzlw1931/tsf-with-xgboost-rf-et", "kernel_id": "31594217"}, {"ref": "brunosoaresdossantos/eda-clusteriza-o-walmart", "kernel_id": "31808200"}, {"ref": "vijaykumarphy068/walmart-sales-pred-pipeline-streamlit-web-app", "kernel_id": "32309046"}, {"ref": "shilongzhuang/advanced-time-series-forecasting-with-python", "kernel_id": "33679024"}, {"ref": "reinaldocelsomelojr/walmart-store-sales-forecasting", "kernel_id": "34321014"}, {"ref": "rushikeshmuley/eda-walmart-sales", "kernel_id": "35245941"}, {"ref": "armandodelahoya/walmart-sales-forecasting-neural-model", "kernel_id": "35866035"}, {"ref": "armandodelahoya/walmart-sales-forecasting-prophet-model", "kernel_id": "35860215"}, {"ref": "armandodelahoya/walmart-sales-forecasting-eda", "kernel_id": "35856714"}, {"ref": "armandodelahoya/walmart-sales-forecasting-pycaret-library", "kernel_id": "35416985"}, {"ref": "arpitsubhash/notebookee09df4f75", "kernel_id": "35984583"}, {"ref": "nshravanreddy/wallmart-sales-top-3-eda-feature-engin-28428c", "kernel_id": "37072190"}, {"ref": "aarushisunderrajan/r-codes-using-arima-and-sarima-model", "kernel_id": "37240738"}, {"ref": "mahmoudnoreldien/intelligent-database-project", "kernel_id": "38644919"}, {"ref": "sergeiich/eda-modelling-cross-validation", "kernel_id": "38701042"}, {"ref": "sabienn/random-forest-walmart-forecasting", "kernel_id": "38348983"}, {"ref": "adityamhaske/walmart-sales-forecasting-kaggle-case-study", "kernel_id": "39987683"}, {"ref": "ersaaatmeh/walmart-analysis", "kernel_id": "40646499"}, {"ref": "laskarpritam/walmart-sales-linear-dt-rf-regression", "kernel_id": "40064899"}, {"ref": "yazeedalsahouri03/walmart-recruiting-store-sales-forecasting", "kernel_id": "40430295"}, {"ref": "ersaaatmeh/walmart-sales-forecast", "kernel_id": "41122960"}, {"ref": "jliamartinez/model-walmart-forecasting", "kernel_id": "41465549"}, {"ref": "evangeliagian/mews-walmart-sales-predictions", "kernel_id": "41764813"}, {"ref": "neerajanandcoder/walmart-sales", "kernel_id": "42068971"}, {"ref": "engamohammed/walmart-recruiting", "kernel_id": "42402039"}, {"ref": "python4sp/sample-minor-project-regression-example", "kernel_id": "43821137"}, {"ref": "harishchippa/sample-minor-project-regression-example", "kernel_id": "43920783"}, {"ref": "udayr007/walmartsalesforecast", "kernel_id": "45958413"}, {"ref": "giuliacaa/walmart-forecast-playground", "kernel_id": "45597354"}, {"ref": "udayr007/walmartseriesforecastingupdated", "kernel_id": "46439060"}, {"ref": "rohanchopade/walmart-pbl", "kernel_id": "46424134"}, {"ref": "uomml23msc239315x/walmart-store-sales-forecasting", "kernel_id": "47092175"}, {"ref": "python4sp/demo-data-science-project", "kernel_id": "50296632"}, {"ref": "bhanu949272/walmart-forecast-playground", "kernel_id": "54485964"}, {"ref": "shubhamnagnathchavan/sample-minor-project-regression-example", "kernel_id": "57148128"}, {"ref": "keapla/tp2-walmart-sales-forecast", "kernel_id": "58509400"}, {"ref": "rajesh83288/model-practicise", "kernel_id": "58191881"}, {"ref": "y299792/eng-jap-test-notebook", "kernel_id": "59347760"}, {"ref": "rajesh83288/regression-model", "kernel_id": "60287521"}, {"ref": "barisk7/walmart-sales-forecasting-using-arima", "kernel_id": "62557217"}, {"ref": "peterjav/walmart-eda-for-entry-level-korean-students", "kernel_id": "65113297"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "nadilanizam/walmart-sales-forecasting-with-lightgbm", "kernel_id": "71660506"}, {"ref": "rodrigoespinallanza/walmart-sales-forecasting-using-arima", "kernel_id": "72657433"}, {"ref": "piotrek40941/lightgbm-walmart-forecasting", "kernel_id": "72617831"}, {"ref": "virtue1gs/walmart2", "kernel_id": "77308344"}, {"ref": "tariqinai/walmart-recruiting-store-sales-forecasting", "kernel_id": "77257941"}, {"ref": "douglasosorio/walmart-sales-forecasting-kaggle-case-study", "kernel_id": "83579267"}, {"ref": "yldzburhan/autogluon-store-sales-forecasting", "kernel_id": "84771676"}, {"ref": "mmarisirot/walmart-sales-linear-polinomial-regression", "kernel_id": "84595509"}, {"ref": "jorgemmlrodrigues/walmart-price-pred", "kernel_id": "85892695"}, {"ref": "nmach22/walmart-forcast-sale-n-beats", "kernel_id": "86936667"}, {"ref": "vasikovazagaevi/notebookf887706337", "kernel_id": "86517729"}, {"ref": "abdelrahmanaabdrabo/task3-walmart-sales-forecasting-elevvo", "kernel_id": "87370905"}, {"ref": "zorornoa/walmart-store-sales-forcasting", "kernel_id": "88889770"}, {"ref": "onesinustamba/hybrid-lstm-mlp-for-sales-forecasting", "kernel_id": "90703442"}, {"ref": "m26102002/end-to-end-retail-sales-forecasting-walmart", "kernel_id": "92233958"}, {"ref": "kirtansondagar10/walmart-data-analysis-and-forecasting", "kernel_id": "94236966"}, {"ref": "tinatally/walmart-sales-forecasting-with-saramax", "kernel_id": "100250251"}, {"ref": "jeanmlv/professional-time-series-forecasting-with-r", "kernel_id": "102290536"}, {"ref": "zoeychau/reeeeee", "kernel_id": "102662167"}, {"ref": "yassinekader/wallmart-sales", "kernel_id": "103377392"}, {"ref": "dattran010700/wallmart-sales-top-3-eda-feature-engineering", "kernel_id": "103375177"}, {"ref": "nisanurkesim/walmart-sales-forecasting", "kernel_id": "103393225"}, {"ref": "sayamkumar/walmart-store-sales-forecasting-using-arima", "kernel_id": "107297794"}, {"ref": "yasmimbezerra/trabalho-log-stica", "kernel_id": "108568240"}, {"ref": "mohamedehaab/walmart-sales-forecaster-holiday-insight-promot", "kernel_id": "110801183"}, {"ref": "mykhailokaschiy/walmart-sales-forecasting-using-lgbmregressor", "kernel_id": "110269232"}, {"ref": "fibonacci10102004/mlths", "kernel_id": "112012917"}, {"ref": "cuongdong/btl-ml-lr-knn", "kernel_id": "112013771"}, {"ref": "sujata308/walmart-sales-forecasting-eda-ml-models", "kernel_id": "114670210"}, {"ref": "aidenwhite1/notebook96a6d0e30d", "kernel_id": "116336853"}, {"ref": "harshithabits/walmart-sales-forecasting-project-final-submission", "kernel_id": "120760203"}, {"ref": "user244792/notebook495f8d6458", "kernel_id": "125197799"}, {"ref": "vivienjz/notebook80b634dbaf", "kernel_id": "129302280"}, {"ref": "datascikhan/walmart-store-sales-forecasting", "kernel_id": "135383679"}, {"ref": "remi143/walmart-promo-effectiveness-sql-analysis", "kernel_id": "135572258"}, {"ref": "muhammadibnerafiq/buspas-bs-on-walmart-store-sales-forecasting", "kernel_id": "136091265"}]}
{"competition_id": "3843", "kernels": []}
{"competition_id": "3860", "kernels": []}
{"competition_id": "3861", "kernels": []}
{"competition_id": "3867", "kernels": []}
{"competition_id": "3879", "kernels": []}
{"competition_id": "3887", "kernels": [{"ref": "ssismasterchief/identifying-higgs-boson-atlas-h2o", "kernel_id": "3140051"}, {"ref": "shubhendra7/higgs-boson-analysis", "kernel_id": "3414219"}, {"ref": "shubhendra7/data-mining-iris-dataset", "kernel_id": "3402192"}, {"ref": "makhloufsabir/higgs-boson-classification-physics", "kernel_id": "10712817"}, {"ref": "makhloufsabir/higgs-boson-classification-physics-rnn", "kernel_id": "10784932"}, {"ref": "pquantum/higgs-boson-challenge-my-submission", "kernel_id": "10968813"}, {"ref": "jiahuali/jiahua-li-higgs-bosons", "kernel_id": "11658340"}, {"ref": "imeintanis/identifying-higgs-boson-t-sne-umap-rapids", "kernel_id": "11067309"}, {"ref": "theamateurcoder/higgs-boson-ml-problem", "kernel_id": "13724034"}, {"ref": "anuragbagadi/detecting-the-higgs-boson-using-rnn", "kernel_id": "14905463"}, {"ref": "parijatkumar2003/r-code-to-get-3-7-score", "kernel_id": "16063924"}, {"ref": "bitanbiswas99/higgsbossonuniv-ai-project", "kernel_id": "16062831"}, {"ref": "selvadharani/notebook9d2974f70e", "kernel_id": "19962826"}, {"ref": "thbalaji/day-21", "kernel_id": "20340587"}, {"ref": "sudharshann/lightbgm-optuna", "kernel_id": "25312594"}, {"ref": "sugataghosh/higgs-boson-event-detection-part-1-eda", "kernel_id": "27480837"}, {"ref": "aparnnaparhi19/detecting-the-higgs-boson-using-rnn", "kernel_id": "27327098"}, {"ref": "rprathyusha/higgs-boson", "kernel_id": "27727711"}, {"ref": "sugataghosh/implementing-logistic-regression-from-scratch", "kernel_id": "29065143"}, {"ref": "shirshmall/search-for-higgs-boson-decay-modes", "kernel_id": "29721445"}, {"ref": "johnakwei/higgsml-in-r", "kernel_id": "30079328"}, {"ref": "swarnava007/higgs-bosson-ml", "kernel_id": "31494801"}, {"ref": "deepakvk18/higgs-boson-detection-1", "kernel_id": "31755102"}, {"ref": "nurbekserzhanov/higgs-bosson", "kernel_id": "34260764"}, {"ref": "benchwarmer1007/detecing-god-partical-using-xgb", "kernel_id": "37942960"}, {"ref": "gbiamgaurav/higgs-boson-event-detection", "kernel_id": "44655090"}, {"ref": "jorgealda/machine-learning-exercise-higgs-boson", "kernel_id": "45970565"}, {"ref": "choksisharan/higgs-boson-analysis-using-boosting-algorithms", "kernel_id": "52664627"}, {"ref": "ashu212/higgs", "kernel_id": "56089682"}, {"ref": "aasharyabhandari/higgs-boson-machine-learning", "kernel_id": "78802340"}, {"ref": "naimaaaa/higgs-boson", "kernel_id": "86324304"}, {"ref": "idrisq0/higgsbozon-lightgbm", "kernel_id": "87472888"}, {"ref": "balsingh2001/notebookcb6537470b", "kernel_id": "121157359"}, {"ref": "hoodrichpirobo/detecting-the-higgs-boson-with-tpus", "kernel_id": "123606625"}, {"ref": "chaithanyaks/higgs-boson", "kernel_id": "127552062"}]}
{"competition_id": "3888", "kernels": []}
{"competition_id": "3890", "kernels": []}
{"competition_id": "3891", "kernels": []}
{"competition_id": "3897", "kernels": [{"ref": "sainiknitin/nitin-saini-walking-through-customer-transaction", "kernel_id": "8449748"}, {"ref": "truereddevil/kernel21fd4a7c59", "kernel_id": "16706836"}, {"ref": "chanyoungs/acquire-valued-shoppers-challenge", "kernel_id": "18140316"}]}
{"competition_id": "3903", "kernels": []}
{"competition_id": "3913", "kernels": []}
{"competition_id": "3926", "kernels": []}
{"competition_id": "3927", "kernels": [{"ref": "mpwolke/billion-word-imputation-zip-file", "kernel_id": "38616724"}]}
{"competition_id": "3928", "kernels": []}
{"competition_id": "3929", "kernels": [{"ref": "mpwolke/hunting-prohibited-content", "kernel_id": "29949298"}, {"ref": "mpwolke/prohibited-content-zip", "kernel_id": "29972329"}]}
{"competition_id": "3930", "kernels": []}
{"competition_id": "3933", "kernels": [{"ref": "habibaaymanelsaid/eeg-classification", "kernel_id": "56259523"}, {"ref": "mohameddasshraff/mlsp-2014-schizophrenia-classification", "kernel_id": "104626350"}]}
{"competition_id": "3934", "kernels": [{"ref": "egordm/deep-learning-recommendation-model-dlrm", "kernel_id": "19764231"}, {"ref": "leejunseok97/deepfm-criteo-pytorch", "kernel_id": "27527062"}, {"ref": "aichabokbot/encoding-high-cardinality-categorical-features", "kernel_id": "40175291"}, {"ref": "lee71053311/lgbm-categorical-encoder-optuna-ensemble-0-46", "kernel_id": "41237595"}, {"ref": "samuelswandipass3/deep-learning-recommendation-model-dlrm", "kernel_id": "43783469"}, {"ref": "anhluyendo/dlrm-pytorch-gpu", "kernel_id": "48373816"}, {"ref": "viktor7/dlrm-study", "kernel_id": "73427556"}, {"ref": "giusepperuggeri96/deep-learning-recommendation-model-dlrm", "kernel_id": "93010602"}, {"ref": "yunyunai/data-mining-project", "kernel_id": "125038624"}]}
{"competition_id": "3936", "kernels": [{"ref": "dchudz/rmarkdown-starter-script-3", "kernel_id": "741"}, {"ref": "briantc/notebook-a250efd8f2ed6e98fe7e", "kernel_id": "47673"}, {"ref": "briantc/forest-cover-training-data-viz", "kernel_id": "51606"}, {"ref": "fuhang/notebook-e36338229c6e027d76ee", "kernel_id": "54479"}, {"ref": "fuhang/atest", "kernel_id": "54480"}, {"ref": "shouldnotbehere/two-models-random-forests", "kernel_id": "28286"}, {"ref": "shouldnotbehere/first-try-with-random-forests", "kernel_id": "28054"}, {"ref": "julienpennecot/notebook621aa3b047", "kernel_id": "198191"}, {"ref": "jatinjindal/exploratory-study-on-feature-selection", "kernel_id": "105968"}, {"ref": "ahuaay/attempt1", "kernel_id": "100153"}, {"ref": "sumitl/exploratory-study-on-feature-selection", "kernel_id": "190245"}, {"ref": "triskelion/testing-1", "kernel_id": "2619"}, {"ref": "triskelion/first-try-with-random-forests", "kernel_id": "217"}, {"ref": "apurvadubey/r-starter-code", "kernel_id": "196"}, {"ref": "vlkulpinov/plotting-with-seaborn-adios-matplotlib", "kernel_id": "1563"}, {"ref": "ramakrishnar/an-exploratory-study-on-feature-selection", "kernel_id": "102301"}, {"ref": "luzhao/random-forests", "kernel_id": "30650"}, {"ref": "anujonthemove/notebook-1994cc3f79046be692c1", "kernel_id": "53354"}, {"ref": "iliana/notebookb59bdfc7fd", "kernel_id": "175307"}, {"ref": "understar/first-try-with-random-forests", "kernel_id": "67171"}, {"ref": "mbp14mtp/forests-of-forests", "kernel_id": "207659"}, {"ref": "tianzhou/notebook-93d5b4e3da25f1aa019e", "kernel_id": "27594"}, {"ref": "tianzhou/notebook-3918ec92880bf6e7d7f7", "kernel_id": "27595"}, {"ref": "danny474/random-forests-try", "kernel_id": "26463"}, {"ref": "turgayze/notebook-11f7225272092df16866", "kernel_id": "39987"}, {"ref": "vsmolyakov/svm-classifier", "kernel_id": "121228"}, {"ref": "vmathur/forest-cover-eda", "kernel_id": "235065"}, {"ref": "khalilbouzekri/exploratory-study-of-ml-algorithms", "kernel_id": "142624"}, {"ref": "chudak/xgboost", "kernel_id": "48859"}, {"ref": "vedprakash93/exploratory-study-of-ml-algorithms", "kernel_id": "131320"}, {"ref": "pbkaran/random-forests", "kernel_id": "1671"}, {"ref": "phamkhanh/exploratory-study-of-ml-algorithms-9137c0", "kernel_id": "275964"}, {"ref": "phamkhanh/exploratory-study-of-ml-algorithms", "kernel_id": "273987"}, {"ref": "duesentrieb/first-try-with-random-forests", "kernel_id": "357"}, {"ref": "duesentrieb/randomforest", "kernel_id": "1634"}, {"ref": "maverickontheroad/notebook34ad0738aa", "kernel_id": "106026"}, {"ref": "guowindy/exploratory-study-of-ml-algorithms", "kernel_id": "173960"}, {"ref": "guowindy/notebooke4a550490e", "kernel_id": "177008"}, {"ref": "velibor/plotting", "kernel_id": "3175"}, {"ref": "beichu/tree-test", "kernel_id": "240173"}, {"ref": "beichu/notebook5fce347d37", "kernel_id": "240176"}, {"ref": "bmatthewtaylor/notebookf3a0328d0c", "kernel_id": "109410"}, {"ref": "howawong/titanic-svm", "kernel_id": "63967"}, {"ref": "robertq/notebook-c2b8734298ccc7e050b0", "kernel_id": "41022"}, {"ref": "robertq/notebook-fd960f7790e141e4288e", "kernel_id": "41023"}, {"ref": "jaydeepr/plotting-with-seaborn-adios-matplotlib", "kernel_id": "17293"}, {"ref": "pminmin/notebookdeb366183f", "kernel_id": "232664"}, {"ref": "pminmin/initial-models-py", "kernel_id": "232670"}, {"ref": "momoag/plotting-with-seaborn-adios-matplotlib", "kernel_id": "355"}, {"ref": "matthewshirley/first-try-with-random-forests", "kernel_id": "7773"}, {"ref": "xingchenzhuifeng/exploratory-study-on-feature-selection", "kernel_id": "105237"}, {"ref": "edzhang/exploratory-study-on-feature-selection", "kernel_id": "145193"}, {"ref": "sriteja/first-try-with-extratreesclassifier", "kernel_id": "16481"}, {"ref": "shreyiitj/svm1-0", "kernel_id": "49469"}, {"ref": "shreyiitj/svm1-1", "kernel_id": "49481"}, {"ref": "shreyiitj/notebook-16e877c805b3f3de2166", "kernel_id": "49455"}, {"ref": "shreyiitj/notebook-39e3b973e5184c7c58d1", "kernel_id": "49434"}, {"ref": "shreyiitj/notebook-501e06a3095f8b904c14", "kernel_id": "49435"}, {"ref": "shreyiitj/model4-0", "kernel_id": "49436"}, {"ref": "shreyiitj/notebook-f23fe339ff03b218e335", "kernel_id": "49325"}, {"ref": "shreyiitj/notebook-3d856fc77c61441f9530", "kernel_id": "49326"}, {"ref": "shreyiitj/model-4power", "kernel_id": "49327"}, {"ref": "shreyiitj/model-quadratic", "kernel_id": "49307"}, {"ref": "pallabb/random-forest-for-forest-cover-pallab", "kernel_id": "294340"}, {"ref": "kushtehlan/notebook-ee1df9c380efb4cc8dd8", "kernel_id": "84505"}, {"ref": "juanjocarin/forest-cover-type-prediction", "kernel_id": "88229"}, {"ref": "iyerashwathi/forest-cover", "kernel_id": "279880"}, {"ref": "rileyrustad/notebook200b18a699", "kernel_id": "215858"}, {"ref": "rileyrustad/w207-baseline-submission", "kernel_id": "215946"}, {"ref": "souravsarangi/script3", "kernel_id": "16502"}, {"ref": "lalthan/notebookd9a586f138", "kernel_id": "103534"}, {"ref": "vishalg/first-try", "kernel_id": "16176"}, {"ref": "chinmay95/first-script", "kernel_id": "16378"}, {"ref": "shikha07/trial", "kernel_id": "16038"}, {"ref": "sourabhd/first-try-with-random-forests", "kernel_id": "16368"}, {"ref": "preksha12/plotting-with-seaborn-adios-matplotlib", "kernel_id": "16052"}, {"ref": "johnnyryan/exploratory-study-on-feature-selection", "kernel_id": "134522"}, {"ref": "greenli/test1", "kernel_id": "110041"}, {"ref": "tatyana29/random", "kernel_id": "30968"}, {"ref": "akurniawan/svm-classifier", "kernel_id": "171423"}, {"ref": "skoblikova/trial-version", "kernel_id": "30947"}, {"ref": "alstof/notebook-4722dd1154c101a7e39a", "kernel_id": "50780"}, {"ref": "jingjingyang/notebook-59f95269a7d168e7d7db", "kernel_id": "48325"}, {"ref": "prabhats/forest-cover-type-prediction-with-random-forest", "kernel_id": "297982"}, {"ref": "superawesome/firsttest", "kernel_id": "27320"}, {"ref": "leannelong3/notebook-7aaa3cdd9489643a0b42", "kernel_id": "28078"}, {"ref": "leannelong3/notebook-24fb5f42872e94afd52e", "kernel_id": "28079"}, {"ref": "leannelong3/r-random-forest", "kernel_id": "28298"}, {"ref": "leannelong3/forest-predictions", "kernel_id": "28236"}, {"ref": "leannelong3/forest", "kernel_id": "28230"}, {"ref": "samreenkazi/notebook4e5372e874", "kernel_id": "214835"}, {"ref": "samreenkazi/notebook416bfcbbf1", "kernel_id": "217649"}, {"ref": "samreenkazi/notebookd1e1d37061", "kernel_id": "217650"}, {"ref": "pandoju/practice", "kernel_id": "88655"}, {"ref": "window98/notebook-393d3a75d98c781225e1", "kernel_id": "55430"}, {"ref": "yunhee/notebookc15c470683", "kernel_id": "117586"}, {"ref": "elisasalamanca/notebook47ffe49bfc", "kernel_id": "119751"}, {"ref": "alexfo/exploratory-study-on-feature-selection", "kernel_id": "189314"}, {"ref": "alexfo/exploratory-study-on-feature-selection-c14185", "kernel_id": "189317"}, {"ref": "alexfo/exploratory-study-of-ml-algorithms", "kernel_id": "189318"}, {"ref": "jihyeseo/forest-cover-eda2", "kernel_id": "958505"}, {"ref": "mayccc/exploratory-study-of-ml-algorithms", "kernel_id": "270300"}, {"ref": "prathew/first-run", "kernel_id": "109876"}, {"ref": "xinliu2/exploratory-study-of-ml-algorithms", "kernel_id": "201160"}, {"ref": "xinliu2/exploratory-study-of-ml-algorithms-d7e2dd", "kernel_id": "201162"}, {"ref": "hopandsolo/xgboost", "kernel_id": "53274"}, {"ref": "pawluczuk/forest-cover-training-data-viz", "kernel_id": "57395"}, {"ref": "yousihan/notebook-06f49564c50811a8a856", "kernel_id": "54763"}, {"ref": "guillo/script-r", "kernel_id": "66623"}, {"ref": "guillo/notebook-c8d662ba945155721e6a", "kernel_id": "66624"}, {"ref": "guillo/notebook-fa58e9a41a2f2c487e18", "kernel_id": "50910"}, {"ref": "shravandhanuka/notebooke397eb58dc", "kernel_id": "105241"}, {"ref": "miningjerry/exploratory-study-of-ml-algorithms", "kernel_id": "142134"}, {"ref": "kstory/forest-cover-kernel", "kernel_id": "225765"}, {"ref": "kstory/beginner-tree-cover-notebook", "kernel_id": "226878"}, {"ref": "pexea12/forest-cover-draft", "kernel_id": "812752"}, {"ref": "pexea12/forest-cover-deep-draft", "kernel_id": "815932"}, {"ref": "beyoglubora/notebooka7f65ad2f4", "kernel_id": "236973"}, {"ref": "jordanwyli/svm-classifier", "kernel_id": "192600"}, {"ref": "jordanwyli/exploratory-study-on-feature-selection", "kernel_id": "192623"}, {"ref": "argsno/notebook913d67fb72", "kernel_id": "141037"}, {"ref": "phupham1991/random-forest-covtype", "kernel_id": "304161"}, {"ref": "yashk2810/submission", "kernel_id": "96535"}, {"ref": "yashk2810/submission2", "kernel_id": "96537"}, {"ref": "yashk2810/submission-gbr", "kernel_id": "99817"}, {"ref": "kumarkirthi/exploratory-study-of-ml-algorithms-4def1153", "kernel_id": "106465"}, {"ref": "kumarkirthi/exploratory-study-of-ml-algorithms-0829b05b", "kernel_id": "106483"}, {"ref": "kumarkirthi/exploratory-study-of-ml-algorithms", "kernel_id": "106214"}, {"ref": "sharmasanthosh/forest-cover-type-prediction", "kernel_id": "99178"}, {"ref": "sharmasanthosh/forest-cover-type-prediction-cf5f3902", "kernel_id": "99363"}, {"ref": "sharmasanthosh/forest-cover-type-prediction-508d8e61", "kernel_id": "99635"}, {"ref": "sharmasanthosh/notebook9e4a11f66d", "kernel_id": "97437"}, {"ref": "sharmasanthosh/exploratory-study-on-feature-selection", "kernel_id": "97563"}, {"ref": "sharmasanthosh/forest-cover-type-prediction-c149b09f", "kernel_id": "103203"}, {"ref": "sharmasanthosh/exploratory-study-of-ml-algorithms", "kernel_id": "102960"}, {"ref": "ml2016/exploratory-study-of-ml-algorithms", "kernel_id": "107682"}, {"ref": "ml2016/exploratory-study-of-ml-algorithms-9c95fe85", "kernel_id": "117323"}, {"ref": "vermashresth/forestrandomforest", "kernel_id": "235032"}, {"ref": "vermashresth/forestrandomforestpca", "kernel_id": "236786"}, {"ref": "vermashresth/stats", "kernel_id": "235927"}, {"ref": "mahzadk/exploratory-study-on-feature-selection-3107aba7", "kernel_id": "135203"}, {"ref": "mahzadk/exploratory-study-on-feature-selection-8ac071ef", "kernel_id": "113714"}, {"ref": "mahzadk/exploratory-study-on-feature-selection", "kernel_id": "113637"}, {"ref": "firice/notebookcb603cd493", "kernel_id": "258420"}, {"ref": "yujunnes/notebooke406fd86a3", "kernel_id": "237783"}, {"ref": "yujunnes/notebook4408a4a067", "kernel_id": "236950"}, {"ref": "gauravjindal2309/eda-forest-cover", "kernel_id": "225298"}, {"ref": "jeonghunyoon/dnn-classifier-for-forest-type", "kernel_id": "899692"}, {"ref": "nitin007/forest-cover-type-prediction-complete-part-i", "kernel_id": "247782"}, {"ref": "nitin007/forest-cover-type-prediction-complete-part-ii", "kernel_id": "248334"}, {"ref": "brandonma/forest", "kernel_id": "181418"}, {"ref": "brandonma/exploratory-study-on-feature-selection", "kernel_id": "181420"}, {"ref": "brandonma/exploratory-study-of-ml-algorithms", "kernel_id": "185814"}, {"ref": "brandonma/exploratory-study-of-ml-algorithms-7be720", "kernel_id": "186631"}, {"ref": "moseli/notebookce6d39b34f", "kernel_id": "255167"}, {"ref": "huarong/exploratory-study-of-ml-algorithms", "kernel_id": "230102"}, {"ref": "bengeorge/good-starting-point-for-new-users", "kernel_id": "100380"}, {"ref": "piyushdugar13/exploratory-study-of-ml-algorithms", "kernel_id": "121394"}, {"ref": "iharsh234/categorical-analysis-on-cover-type", "kernel_id": "440934"}, {"ref": "anhntmpi/exploratory-study-of-ml-algorithms", "kernel_id": "176956"}, {"ref": "ankitagrawal619/forest", "kernel_id": "147259"}, {"ref": "ankitagrawal619/with-svm", "kernel_id": "162335"}, {"ref": "gaoyuqing/notebook055b7117fb", "kernel_id": "188402"}, {"ref": "meghagarg/exploratory-study-on-feature-selection-8f800da1", "kernel_id": "115886"}, {"ref": "meghagarg/exploratory-study-on-feature-selection", "kernel_id": "115673"}, {"ref": "zissou1898/notebookcbe059a2ca", "kernel_id": "219584"}, {"ref": "leonardbinet/exploratory-study-on-feature-selection-0c39995f", "kernel_id": "168852"}, {"ref": "leonardbinet/exploratory-study-of-ml-algorithms", "kernel_id": "168947"}, {"ref": "leonardbinet/exploratory-study-on-feature-selection", "kernel_id": "114139"}, {"ref": "te87037/notebooke00961fee4", "kernel_id": "228615"}, {"ref": "anubhutim1/practice-datascience", "kernel_id": "146419"}, {"ref": "parthgarg30/understanding-the-data", "kernel_id": "310359"}, {"ref": "cdannen/exploratory-study-of-ml-algorithms-5b200371", "kernel_id": "165207"}, {"ref": "cdannen/exploratory-study-of-ml-algorithms", "kernel_id": "165196"}, {"ref": "snojekba/notebookea3d5f8983", "kernel_id": "121314"}, {"ref": "pollymcc/exploratory-study-of-ml-algorithms", "kernel_id": "236203"}, {"ref": "arthurpivz/exploratory-study-on-feature-selection-1ae29fc8", "kernel_id": "137697"}, {"ref": "arthurpivz/exploratory-study-on-feature-selection-a8b32683", "kernel_id": "137699"}, {"ref": "arthurpivz/exploratory-study-on-feature-selection-dffb2b49", "kernel_id": "138999"}, {"ref": "arthurpivz/exploratory-study-of-ml-algorithms-e424cff2", "kernel_id": "147899"}, {"ref": "arthurpivz/exploratory-study-of-ml-algorithms-f34b8487", "kernel_id": "147024"}, {"ref": "arthurpivz/exploratory-study-of-ml-algorithms-24c5eebe", "kernel_id": "147027"}, {"ref": "arthurpivz/exploratory-study-of-ml-algorithms-96b058d5", "kernel_id": "147148"}, {"ref": "arthurpivz/exploratory-study-on-feature-selection", "kernel_id": "128754"}, {"ref": "arthurpivz/exploratory-study-on-feature-selection-64cd3468", "kernel_id": "128760"}, {"ref": "utkancandogan/comparison-of-3-algorithms-with-visualizations", "kernel_id": "354897"}, {"ref": "dishajindal/forestcover-py", "kernel_id": "151837"}, {"ref": "robinuibe/exploratory-study-of-ml-algorithms", "kernel_id": "145693"}, {"ref": "robinuibe/exploratory-study-on-feature-selection", "kernel_id": "145690"}, {"ref": "rfliu6/test1-1", "kernel_id": "157299"}, {"ref": "rfliu6/first-try-with-random-forests", "kernel_id": "157942"}, {"ref": "ram8834/forest-cover-prediction-classification-analysis", "kernel_id": "299047"}, {"ref": "jeanpauln/notebook702c8966ca", "kernel_id": "146147"}, {"ref": "sociopath00/forest-type-prediction-using-python", "kernel_id": "291760"}, {"ref": "vishalagarwal2708/notebook5e5ff863f1", "kernel_id": "170143"}, {"ref": "jayanth123/notebook7e55888529", "kernel_id": "170494"}, {"ref": "kenuit/forest-type-prediction", "kernel_id": "491822"}, {"ref": "aqlina/exploratory-study-of-ml-algorithms", "kernel_id": "184465"}, {"ref": "redbadstone/test121", "kernel_id": "166883"}, {"ref": "redbadstone/notebook2961c5df1e", "kernel_id": "166850"}, {"ref": "anirbanl/xgboost-starter-with-cv", "kernel_id": "351282"}, {"ref": "fshaikh/notebookefda712df7", "kernel_id": "217784"}, {"ref": "ksvskushal/forest", "kernel_id": "170335"}, {"ref": "sushantsawant/random-forest-for-forest-cover-type-prediction", "kernel_id": "298713"}, {"ref": "time1ess/notebook1db9962f6b", "kernel_id": "218974"}, {"ref": "time1ess/notebooke5e068dfb9", "kernel_id": "218975"}, {"ref": "time1ess/notebook95acc07c65", "kernel_id": "218964"}, {"ref": "aiswaryas/notebooke3f95f7006", "kernel_id": "192269"}, {"ref": "cgangwar1/exploratory-study-of-ml-algorithms", "kernel_id": "243459"}, {"ref": "dennissergeev/notebook9c3e6c8a76", "kernel_id": "196856"}, {"ref": "plarmuseau/forest-cover-type-prediction", "kernel_id": "229761"}, {"ref": "jfzhang1995/exploratory-study-of-ml-algorithms", "kernel_id": "229661"}, {"ref": "jfzhang1995/exploratory-study-on-feature-selection-f32c02", "kernel_id": "230112"}, {"ref": "jianyu/notebook0d9d49f9ae", "kernel_id": "211208"}, {"ref": "jianyu/my-first-submission", "kernel_id": "216549"}, {"ref": "miloclemo/notebooka63f7ea8ba", "kernel_id": "196861"}, {"ref": "juanponce/notebook2534c67d4b", "kernel_id": "196930"}, {"ref": "juanponce/exploratory-study-of-ml-algorithms", "kernel_id": "196925"}, {"ref": "juanponce/notebook510c378f89", "kernel_id": "196921"}, {"ref": "jpollard/exploratory-study-on-feature-selection", "kernel_id": "196883"}, {"ref": "jpollard/notebook057e7ac87a", "kernel_id": "196866"}, {"ref": "bensmith1/notebooke79fa0416c", "kernel_id": "196870"}, {"ref": "bensmith1/notebook6de8cebcc3", "kernel_id": "196882"}, {"ref": "bensmith1/notebook6cff2b1704", "kernel_id": "196989"}, {"ref": "fmcclean/trial", "kernel_id": "196851"}, {"ref": "northmattrobert/notebook0bde6cb684", "kernel_id": "196867"}, {"ref": "northmattrobert/notebook24556c1240", "kernel_id": "196909"}, {"ref": "cmazivanhanga/notebook47b18924a1", "kernel_id": "196990"}, {"ref": "cmazivanhanga/forest-cover-type-prediction", "kernel_id": "197000"}, {"ref": "cmazivanhanga/forest-cover-type-prediction-9cfbc6", "kernel_id": "197002"}, {"ref": "cmazivanhanga/forest-cover-type-prediction-a17c10", "kernel_id": "197019"}, {"ref": "cmazivanhanga/forest-cover-type-prediction-c223e0", "kernel_id": "197007"}, {"ref": "ignace/notebook9ba6ec1a8b", "kernel_id": "209625"}, {"ref": "haritha1313/notebook09f089b97e", "kernel_id": "235049"}, {"ref": "haritha1313/forest-cover", "kernel_id": "235051"}, {"ref": "haritha1313/normalization-forest-cover", "kernel_id": "237122"}, {"ref": "haritha1313/forestcover-new", "kernel_id": "235878"}, {"ref": "karthick12mar/test-prediction-submission", "kernel_id": "208578"}, {"ref": "karthick12mar/test-prediction", "kernel_id": "208532"}, {"ref": "yasminedejeu/testje", "kernel_id": "215536"}, {"ref": "yasminedejeu/testjess", "kernel_id": "215537"}, {"ref": "nithinm/finalassignment-bigdata-course", "kernel_id": "208540"}, {"ref": "kmaitra/notebook4064338e48", "kernel_id": "212692"}, {"ref": "hrishikesh312/random-forest-on-the-train-data", "kernel_id": "297021"}, {"ref": "rajdesai914/sorandom-forest", "kernel_id": "307752"}, {"ref": "mreenav/exploratory-study-on-feature-selection", "kernel_id": "292170"}, {"ref": "ilcord/exploratory-study-of-ml-algorithms", "kernel_id": "225866"}, {"ref": "jo3c00k/notebookd43b358ca7", "kernel_id": "244157"}, {"ref": "trk007/forest-cover-type-prediction", "kernel_id": "298836"}, {"ref": "rskn1987/r-code-forest-cover-type-prediction", "kernel_id": "329416"}, {"ref": "dhamashivam/forest-cover-type-prediction-using-rforest", "kernel_id": "703486"}, {"ref": "suncor/forest-cover-prediction", "kernel_id": "768930"}, {"ref": "newpye/first-attempts-with-python-ml", "kernel_id": "467140"}, {"ref": "pavanreddy1998/forest-decession", "kernel_id": "812592"}, {"ref": "sanjeetiitr1/forest-cover-prediction-for-beginners", "kernel_id": "909048"}, {"ref": "madanchawla/forest-cover-prediction", "kernel_id": "911422"}, {"ref": "ivarvb/forest-cover-type", "kernel_id": "1988038"}, {"ref": "lanmao/kernelc233ec616d", "kernel_id": "1614802"}, {"ref": "joydeb28/forest-cover-type-prediction", "kernel_id": "1792250"}, {"ref": "saumyaraj1/forest-cover-type-eda-extra-trees", "kernel_id": "1715866"}, {"ref": "beaukramer/w207summer18-base-fork-only", "kernel_id": "1254562"}, {"ref": "prafultickoo/decision-trees-and-random-forest-practice-1", "kernel_id": "2201689"}, {"ref": "kashnitsky/topic-10-practice-with-logit-rf-and-lightgbm", "kernel_id": "2313240"}, {"ref": "iavinas/forest-cover-type-prediction-0-74436", "kernel_id": "2750513"}, {"ref": "jatinmittal0001/forest-cover-type-pred-multi-class-classification", "kernel_id": "2896992"}, {"ref": "tooezy/forest-cover-type-classification", "kernel_id": "2824153"}, {"ref": "tushars95/forest-cover", "kernel_id": "2228091"}, {"ref": "liuhuansz1806108/kernel6f8e9c3043", "kernel_id": "2621800"}, {"ref": "liuhuansz1806108/kernel79d3cfdbb5", "kernel_id": "2621832"}, {"ref": "khushpanchal/kernel7539f1dc38", "kernel_id": "3522017"}, {"ref": "rajashri/forest-cover", "kernel_id": "4011534"}, {"ref": "ma7555/knn-from-scratch", "kernel_id": "4064296"}, {"ref": "kwabenantim/forest-cover-feature-engineering", "kernel_id": "5690313"}, {"ref": "yongyct/attempt-at-forest-cover-type-prediction", "kernel_id": "5508744"}, {"ref": "mehranrafiee/kernel4e74462766", "kernel_id": "5575939"}, {"ref": "abdelrahmanamhawy/random-forest-classifer-for-forest-cover-type", "kernel_id": "5463930"}, {"ref": "fedomer/keras-example", "kernel_id": "5793444"}, {"ref": "cuijamm/forest-cover-type-predictions-score-0-77005", "kernel_id": "6009532"}, {"ref": "uttam94/forest-cover-type-prediction", "kernel_id": "6805974"}, {"ref": "devkhant24/forest-category-prediction", "kernel_id": "6563468"}, {"ref": "shreeharjoshi/classifying-the-type-of-forest", "kernel_id": "6755321"}, {"ref": "dhanyasabari/forest-covertype", "kernel_id": "7400630"}, {"ref": "dhanyasabari/forest-cover-type-continued", "kernel_id": "7588384"}, {"ref": "hanifansari93/forest-cover-type", "kernel_id": "7261094"}, {"ref": "valeriagab/forest-cover", "kernel_id": "7078958"}, {"ref": "valeriagab/forest2", "kernel_id": "7081013"}, {"ref": "lucacarniato/forest-cover-type-prediction", "kernel_id": "7298445"}, {"ref": "preejababu/kernel-forest-cover-type-prediction-preeja", "kernel_id": "7414021"}, {"ref": "justineyu/ghouls", "kernel_id": "7910131"}, {"ref": "jagannathrk/forest-cover-type-prediction", "kernel_id": "8732945"}, {"ref": "veritasium42/forest-cover", "kernel_id": "8446989"}, {"ref": "gautisang/forest-cover", "kernel_id": "8490312"}, {"ref": "danielalexander17/forest-cover-type-prediction", "kernel_id": "8437024"}, {"ref": "robbiebeane/forest-cover-02-nnet", "kernel_id": "8223416"}, {"ref": "robbiebeane/forest-cover-01", "kernel_id": "8210274"}, {"ref": "hanhdao123/forest-cover-prediction", "kernel_id": "8895321"}, {"ref": "dipikabaad0107/forest-cover-classification", "kernel_id": "9007074"}, {"ref": "ritschi/bmi-tree-d-nkel-ritschel", "kernel_id": "9885113"}, {"ref": "sumitmaan/forest-cover-type-prediction-data-exploration", "kernel_id": "9646709"}, {"ref": "leela2299/eda-feature-engineering-classification", "kernel_id": "9276773"}, {"ref": "dhruvgupta2801/tutorial", "kernel_id": "9270347"}, {"ref": "dasmanarshi/manarshidas-forestcovertype", "kernel_id": "9476770"}, {"ref": "lucasmorato/technique-for-ml-model-selection", "kernel_id": "9437613"}, {"ref": "shivaniengg23/forests-pred-project", "kernel_id": "9991645"}, {"ref": "supratimsur/forest-cover-type-edl-and-prediction", "kernel_id": "9616526"}, {"ref": "naimur978/forest-cover-type", "kernel_id": "9673425"}, {"ref": "andynath/forest-cover-type-analysis-and-predictions", "kernel_id": "9278535"}, {"ref": "siddheshpujari/forest-cover-eda", "kernel_id": "9470827"}, {"ref": "priyanath/forest-cover-pred", "kernel_id": "9838717"}, {"ref": "spanda2/forest-cover", "kernel_id": "9051152"}, {"ref": "nehabhandari1/forest-prediction-final", "kernel_id": "9156797"}, {"ref": "meetdoshi996/forest-cover-eda", "kernel_id": "9455675"}, {"ref": "ashalathasreshty/forest-cover-type-plots", "kernel_id": "9617444"}, {"ref": "vibeeshk/forest-cover-type-prediction", "kernel_id": "10348843"}, {"ref": "sureshmecad/forest-coverype", "kernel_id": "10555571"}, {"ref": "kumaran1992/forest-cover-type-prediction", "kernel_id": "10760317"}, {"ref": "rahulkumar234/tutorial-1", "kernel_id": "10775558"}, {"ref": "pariaagharabi/covertype-hyperparameters-tuning-ensemble-methods", "kernel_id": "10957768"}, {"ref": "pranavmittal88/forest", "kernel_id": "10723254"}, {"ref": "ramensingh/kernel4d979252bf", "kernel_id": "10303282"}, {"ref": "maksimbahdanchyk/voting-forest-combining-different-classifiers-78", "kernel_id": "10343851"}, {"ref": "teramera/kernel43272cea77", "kernel_id": "10519470"}, {"ref": "julianbenny/forest-type-knn", "kernel_id": "10550675"}, {"ref": "roohisharma/forest-cover-type", "kernel_id": "10819177"}, {"ref": "annacozhao/project-2", "kernel_id": "10805970"}, {"ref": "jessicacc/forest-cover-type-pycaret", "kernel_id": "11713421"}, {"ref": "hrishikeshkambale/forestcover-classifi-tuning-and-stacking-0-77", "kernel_id": "11150585"}, {"ref": "ravikiranbhonagiri/exploratory-data-analysis-and-classifier-model", "kernel_id": "12283510"}, {"ref": "toppoashish7/knn-1", "kernel_id": "12190820"}, {"ref": "ayusheeagarwal/randomforestclassifier-prediction", "kernel_id": "12086305"}, {"ref": "nadish/prediction-using-random-forest", "kernel_id": "13880875"}, {"ref": "walras/forest-covet-type", "kernel_id": "13834156"}, {"ref": "arko007/knn-forest-type-1", "kernel_id": "13676351"}, {"ref": "kickitlikeshika/extra-trees-79-accuracy", "kernel_id": "13126725"}, {"ref": "semenedel/forest-cover-type", "kernel_id": "13246053"}, {"ref": "anu332/forest-predictions", "kernel_id": "13659027"}, {"ref": "sanskrutighadipatil/notebook2c99a0b46d", "kernel_id": "13662209"}, {"ref": "rohitjagirdar/kaggletut", "kernel_id": "13129874"}, {"ref": "varunsimhareddy/varun-forest-cover", "kernel_id": "13867005"}, {"ref": "archana111/notebook3d7aa62a45", "kernel_id": "13923375"}, {"ref": "garimadhanania/forest-cover-type-prediction", "kernel_id": "14791852"}, {"ref": "chromerai/notebook1", "kernel_id": "14012397"}, {"ref": "hectorpatio/cover-type", "kernel_id": "14356019"}, {"ref": "xevator/tutorial", "kernel_id": "14986100"}, {"ref": "corneliustantius/forest-cover-type-prediction", "kernel_id": "14419912"}, {"ref": "subhamsagarpaira/knn-forest-type", "kernel_id": "14114937"}, {"ref": "jlbowman/forest-cover", "kernel_id": "14718351"}, {"ref": "nishita17/forest-cover-type-prediction", "kernel_id": "14668756"}, {"ref": "dhawalsoni/forestcovertype", "kernel_id": "14082102"}, {"ref": "kenjishioya/forest-cover-type-prediction", "kernel_id": "14569932"}, {"ref": "pawansadhwani2064/notebook2c8c525763", "kernel_id": "14279550"}, {"ref": "diyadodwad/tutorial", "kernel_id": "14881993"}, {"ref": "vishuvardhan16/forest-cover-type-prediction", "kernel_id": "15840849"}, {"ref": "piotrcichacki/forestcovertypeprediction", "kernel_id": "15210697"}, {"ref": "mgen2020/forestcoverprediction", "kernel_id": "15186827"}, {"ref": "ploufplouf/notebook68ce7cdeed", "kernel_id": "15512622"}, {"ref": "alaamasalha/forest-cover-type", "kernel_id": "15653639"}, {"ref": "mohdmaazkhan/f-cover", "kernel_id": "15668527"}, {"ref": "myan000/exploratory-study-on-feature-selection", "kernel_id": "15928493"}, {"ref": "parijatkumar2003/r-code-to-get-81-on-lb", "kernel_id": "16012548"}, {"ref": "rahulkumar234/notebook5f068cc7aa", "kernel_id": "16957523"}, {"ref": "sakshi0100/forest-new", "kernel_id": "16549551"}, {"ref": "praveen525/forest-cover-dataset", "kernel_id": "16019614"}, {"ref": "anujkumaraj/forest-cover-project", "kernel_id": "16441128"}, {"ref": "dawool1218/forest-multi-ml-p-not-complete", "kernel_id": "16955243"}, {"ref": "rahulgujjar/forest-cover-type-prediction-using-knn", "kernel_id": "16766427"}, {"ref": "sajjadwasti/first-submisssion", "kernel_id": "16311298"}, {"ref": "sajjadwasti/second-submission", "kernel_id": "16617866"}, {"ref": "denimthangjam/forest-type-2", "kernel_id": "16893456"}, {"ref": "vanitadiboyina/vani-tadiboyina", "kernel_id": "17912494"}, {"ref": "debabratabhakat/forest-cover", "kernel_id": "17282853"}, {"ref": "sachingupta2212/notebook6a21b78b58", "kernel_id": "17304539"}, {"ref": "pranjal6192/forest-cover", "kernel_id": "17441293"}, {"ref": "rajyalakshmib/rajybollu", "kernel_id": "17188699"}, {"ref": "nikhiln2312/forest-pred", "kernel_id": "17393254"}, {"ref": "vyshnavimudigonda/forest", "kernel_id": "17533432"}, {"ref": "marselaaliaj/forest-prediction-final", "kernel_id": "18142189"}, {"ref": "tejasboss/forest-cover-pred", "kernel_id": "18349135"}, {"ref": "mehulnahar9/forest-cover-prediction", "kernel_id": "18394467"}, {"ref": "skill7/forest-cover", "kernel_id": "18664422"}, {"ref": "ihme11/forest-cover-voting", "kernel_id": "18622215"}, {"ref": "rajeshwaris/forest-cover-type-prediction", "kernel_id": "18633070"}, {"ref": "shayistamulla/forest-cover-type-prediction", "kernel_id": "18359399"}, {"ref": "prathikshabr/forest-cover-prediction-kaggleproject-2", "kernel_id": "18633094"}, {"ref": "keerthanamreddy/forest-cover-week-2-project", "kernel_id": "18506296"}, {"ref": "vibgreon/forest", "kernel_id": "18786351"}, {"ref": "itslisu/forest-cover-type-prediction", "kernel_id": "19144236"}, {"ref": "pritampaulcrow/forest-cover-type-pred", "kernel_id": "19596902"}, {"ref": "vibgreon/forest-2", "kernel_id": "20060378"}, {"ref": "subrahmanyajoshi/forest-cover-type-prediction", "kernel_id": "20914606"}, {"ref": "fatihdeniz/forest-cover-type-prediction", "kernel_id": "21946258"}, {"ref": "mariannejoyleano/forest-cover-data-exploration", "kernel_id": "21774202"}, {"ref": "mariannejoyleano/forest-cover-training-eda-v02", "kernel_id": "21727970"}, {"ref": "mariannejoyleano/ml-forest-cover-v02-submission", "kernel_id": "21927210"}, {"ref": "alexandrasciocchetti/multivariate-classification-w-extratreesclassifier", "kernel_id": "21505485"}, {"ref": "emknowles/g2-forest-cover-type-submission-v05", "kernel_id": "21837050"}, {"ref": "emknowles/g2-forestcovertype-v01", "kernel_id": "21816780"}, {"ref": "nvnj5656/notebook1", "kernel_id": "21170510"}, {"ref": "jamiesperos/exploratory-study-on-feature-selection", "kernel_id": "21747054"}, {"ref": "slythe/tabular-playground-dec-2021", "kernel_id": "22452336"}, {"ref": "rjavadi/december-tp", "kernel_id": "22945414"}, {"ref": "robbiebeane/dsci-598-fa21-team-2-model-params", "kernel_id": "22799279"}, {"ref": "robbiebeane/dsci-598-fa21-team-2-evaluation", "kernel_id": "22799297"}, {"ref": "robbiebeane/dsci-598-fa21-team-2-final-report", "kernel_id": "22799229"}, {"ref": "robbiebeane/dsci-598-fa21-team-2-eda", "kernel_id": "22799259"}, {"ref": "robbiebeane/dsci-598-fa21-team-2-feature-engineering", "kernel_id": "22799265"}, {"ref": "robbiebeane/dsci-598-fa21-team-2-training", "kernel_id": "22799268"}, {"ref": "lonnieqin/forest-cover-type-prediction-with-catboost", "kernel_id": "22503427"}, {"ref": "muhammedjaabir/forest-cover-pred", "kernel_id": "22749940"}, {"ref": "muhammedjaabir/forest-cover-pred-high-score", "kernel_id": "22995371"}, {"ref": "mahmoudlimam/data-processing-tutorial-level-2", "kernel_id": "22504538"}, {"ref": "mariannejoyleano/g2-report-notebook", "kernel_id": "22590462"}, {"ref": "mariannejoyleano/g2-forestcovertype-eda-notebook-final", "kernel_id": "22566652"}, {"ref": "mariannejoyleano/ml-forest-cover-feature-engineering-v01", "kernel_id": "22078405"}, {"ref": "mariannejoyleano/fork-of-ml-forest-cover-v03-submission", "kernel_id": "22078163"}, {"ref": "mariannejoyleano/fork-of-forest-cover-training-eda-v03", "kernel_id": "22076269"}, {"ref": "mariannejoyleano/g2-forestcovertype-eda-notebook", "kernel_id": "22384285"}, {"ref": "thariqnugrohotomo/comparing-original-competition-dataset", "kernel_id": "22731606"}, {"ref": "emknowles/g2-forestcovertype-v03", "kernel_id": "22025206"}, {"ref": "emknowles/g2-forestcovertype-training-notebook", "kernel_id": "22384460"}, {"ref": "emknowles/g2-forestcovertype-modelparams-notebook", "kernel_id": "22364947"}, {"ref": "emknowles/g2-forestcovertype-finalmodelevaluation-notebook", "kernel_id": "22366024"}, {"ref": "jamiesperos/forestcovertypes-lightgbm-jcs", "kernel_id": "22022247"}, {"ref": "jamiesperos/g2-forestcovertype-v03", "kernel_id": "22256134"}, {"ref": "jamiesperos/extra-trees-jcs-new-cv", "kernel_id": "22390496"}, {"ref": "jamiesperos/g2-forestcovertype-feature-engineering-notebook", "kernel_id": "22386305"}, {"ref": "jamiesperos/g2-forestcovertype-report-notebook", "kernel_id": "22468252"}, {"ref": "svnsdhananjayreddy/forest-cover-type-prediction", "kernel_id": "22211022"}, {"ref": "zwartfreak/easiest-forest-prediction-10-lines-of-code", "kernel_id": "22960017"}, {"ref": "rsizem2/forest-cover-type-feature-engineering", "kernel_id": "23620156"}, {"ref": "liza18/forest-cover-first-attempt", "kernel_id": "23566071"}, {"ref": "clairegayral/forest-cover-type-prediction", "kernel_id": "23698610"}, {"ref": "zestar75/notebook28bc4fc1ae", "kernel_id": "23413410"}, {"ref": "mahmoudlimam/tutorial-cross-validation-hyperparameter-tuning", "kernel_id": "24147151"}, {"ref": "mdmaazkhan/ce-forest-cover-pred", "kernel_id": "24575660"}, {"ref": "jayahn0104/tutorial-multiclass-tune-sklearn-skorch", "kernel_id": "25255669"}, {"ref": "prasannabartakke/ee5180-fct", "kernel_id": "25689447"}, {"ref": "keithmatthews/forest-cover-prediction", "kernel_id": "26068461"}, {"ref": "pavanhgowda/poject-1", "kernel_id": "27256963"}, {"ref": "niramay/forest-cover", "kernel_id": "28935361"}, {"ref": "ready234/forest-cover-prediction", "kernel_id": "28212464"}, {"ref": "yagli18/forest-cover-type-prediction", "kernel_id": "29847702"}, {"ref": "kemalfarukbaaran/forestcovertype", "kernel_id": "29758189"}, {"ref": "harshgangaramani/kaggle-walkthrough-demo", "kernel_id": "31696780"}, {"ref": "huberthamelin/forest-cover-type-prediction", "kernel_id": "33912645"}, {"ref": "yannansu/forestcovertype-hyperparametertuning", "kernel_id": "34850913"}, {"ref": "huberthamelin/forest-cover-type-prediction-v02", "kernel_id": "35636915"}, {"ref": "vinnyr12/is-deep-learning-all-you-need", "kernel_id": "35474147"}, {"ref": "josepharivera/is-deep-learning-all-you-need", "kernel_id": "36222675"}, {"ref": "vinnyr12/is-deep-learning-all-you-need-ml-final-project", "kernel_id": "37051692"}, {"ref": "marwanashraf22/forest-cover-prediction", "kernel_id": "38203425"}, {"ref": "suraj520/svm-with-rapidsml-cudf-know-fit-infer", "kernel_id": "40352862"}, {"ref": "suraj520/knn-via-rapidsml-cudf-know-fit-infer", "kernel_id": "40379536"}, {"ref": "nix101/forest-cover-type-prediction-classification", "kernel_id": "40601622"}, {"ref": "karamalhanatleh/forest-cover-type-prediction2", "kernel_id": "41282436"}, {"ref": "yazeedalsahouri03/forest-cover-type-prediction", "kernel_id": "41240744"}, {"ref": "mrudes12/data-exploration-forest-cover-type", "kernel_id": "42273292"}, {"ref": "mdjubaerhosain/forest-cover-type-prediction-ann", "kernel_id": "42809352"}, {"ref": "owenpb/forest-cover-type-0-81031-top-6-w-extratrees", "kernel_id": "43008673"}, {"ref": "agirmaus/forest-cover-prediction", "kernel_id": "43957276"}, {"ref": "alisonhawke/dsci-598-four-models", "kernel_id": "45927485"}, {"ref": "dparas01/forest-cover-prediction", "kernel_id": "45058660"}, {"ref": "habibanaeem123/forestcovering23k-7819", "kernel_id": "45652347"}, {"ref": "alisonhawke/dsci-598-neural-network", "kernel_id": "46760389"}, {"ref": "alisonhawke/dsci-598-principal-component-analysis", "kernel_id": "46633045"}, {"ref": "alisonhawke/dsci-598-svm", "kernel_id": "46650827"}, {"ref": "alisonhawke/dsci-598-k-nearest-neighbours", "kernel_id": "46698611"}, {"ref": "geoffreyarumba/ga-forest-cover-prediction-final-notebook", "kernel_id": "46720734"}, {"ref": "ashakadiyala/forrestvertype-ann-submission-kvaj", "kernel_id": "46813636"}, {"ref": "ashakadiyala/forrestcovertype-k-fcv-kvaj", "kernel_id": "46820957"}, {"ref": "aaronoustrich/forest-cover-type-predictions", "kernel_id": "47524984"}, {"ref": "abrown55/forest-cover-type-tidymodels", "kernel_id": "47527302"}, {"ref": "iancupopp/durum-destroyer", "kernel_id": "47308103"}, {"ref": "alisonhawke/dsci-598-final-submission", "kernel_id": "47063741"}, {"ref": "alisonhawke/dsci-598-xgboost2", "kernel_id": "47223025"}, {"ref": "alisonhawke/dsci-598-xgboost", "kernel_id": "47220927"}, {"ref": "alisonhawke/dsci-598-feature-changes", "kernel_id": "47517658"}, {"ref": "alisonhawke/dsci-598-data-visualisations", "kernel_id": "47806676"}, {"ref": "jacobsmith22/forest-cover-type-prediction-model-comparison", "kernel_id": "47316000"}, {"ref": "samanthajmacdonald/forestcoverprediction", "kernel_id": "47423097"}, {"ref": "geoffreyarumba/ga-final-project-report", "kernel_id": "47864688"}, {"ref": "jrileywilkinson/forest-cover-type", "kernel_id": "47371541"}, {"ref": "ashakadiyala/forestcovertype-knn", "kernel_id": "47679162"}, {"ref": "ashakadiyala/forestcovertype-ada", "kernel_id": "47676751"}, {"ref": "ashakadiyala/fct-xgb-tuned", "kernel_id": "47745508"}, {"ref": "ashakadiyala/forrestcovertype-svm-kvaj", "kernel_id": "47283999"}, {"ref": "ashakadiyala/forrestcovertype-xgb", "kernel_id": "47660429"}, {"ref": "cameronslaugh/forest-cover-type-prediction", "kernel_id": "47798702"}, {"ref": "brandontitensor/forest-cover-type-modeling", "kernel_id": "47616318"}, {"ref": "bhavikasaini/forest-cover-type-prediction", "kernel_id": "49790105"}, {"ref": "cheerio69/forestcover-knn-and-forest-classifier", "kernel_id": "51199167"}, {"ref": "aaron95629/forest-cover-type-prediction", "kernel_id": "51615980"}, {"ref": "sanjusrivatsa9/capstone-project", "kernel_id": "51949902"}, {"ref": "khinsafairuzzahirah/cv-learning-curve-hyperparameter-tuning", "kernel_id": "53950494"}, {"ref": "arshiyakishore/forest-cover-type-prediction-arshiya", "kernel_id": "53326194"}, {"ref": "strawberryzatanna/forestcovercompetition", "kernel_id": "53313228"}, {"ref": "shitaoliao/forest-cover-type-projects", "kernel_id": "55233861"}, {"ref": "harbandanakaur/forest-cover-type-prediction", "kernel_id": "55189991"}, {"ref": "tudorsergiu/forest-classification-neural-network", "kernel_id": "58322809"}, {"ref": "hikmetdevlet/8-forest-cover-type-prediction", "kernel_id": "60796140"}, {"ref": "izhanfakhruzi/forest-cover-type-eda-and-prediction", "kernel_id": "64220536"}, {"ref": "metinhsimimi/forest-cover-type-prediction-dnn-classification", "kernel_id": "65345882"}, {"ref": "limilin/trees", "kernel_id": "69708591"}, {"ref": "alperugurca/forest-cover-type-prediction", "kernel_id": "69650033"}, {"ref": "collinscd23/fctp-stacked-model", "kernel_id": "72271219"}, {"ref": "peanutbuttersojelly/pbj-forest-tree-cover-notebook", "kernel_id": "72669128"}, {"ref": "carterhale25/forest-cover-type-prediction", "kernel_id": "72782110"}, {"ref": "oliviagiles/forest-cover", "kernel_id": "72656628"}, {"ref": "potts23/forest-cover-type-prediction", "kernel_id": "72483346"}, {"ref": "annafellars/stacked-forest-predictions-in-r", "kernel_id": "72589328"}, {"ref": "darrylyunussulistyan/forest-cover-type-prediction-extratrees", "kernel_id": "73350825"}, {"ref": "bariscelikw/baris-buse-ain-24-25", "kernel_id": "73538853"}, {"ref": "deveshthakran1/forest-type-prediction-xgboost-python", "kernel_id": "73054831"}, {"ref": "romannihal/forest-cover-type-prediction", "kernel_id": "75804754"}, {"ref": "senasudemir/forest-cover-type-prediction", "kernel_id": "76093912"}, {"ref": "mariusomka/da-eda-1-0307", "kernel_id": "78112398"}, {"ref": "priyanshupadhi/forest-cover-type", "kernel_id": "79741151"}, {"ref": "hajimins/notebookb31ea6b1bc", "kernel_id": "83021068"}, {"ref": "komody/2025aai-final", "kernel_id": "86378974"}, {"ref": "jawhersadok01/random-forests", "kernel_id": "86875388"}, {"ref": "duckduckshiba/forest-cover-type-prediction", "kernel_id": "86475367"}, {"ref": "yuukikawai/notebookaba0418e92", "kernel_id": "87519990"}, {"ref": "gucci711/ex-find-2", "kernel_id": "87517448"}, {"ref": "sokita4/forest", "kernel_id": "87454014"}, {"ref": "yukino0420/25rmd52-finalreport", "kernel_id": "87255567"}, {"ref": "youssefkaram222/forest-cover-type-prediction-xgboost-86-acc", "kernel_id": "88176364"}, {"ref": "apurvakanth/forest-cover-type-prediction", "kernel_id": "88621299"}, {"ref": "mohamadatef/comp2-2-wf2", "kernel_id": "91332568"}, {"ref": "shurochka2025/notebook53ce640e75", "kernel_id": "96774745"}, {"ref": "basuadoor/ba-forestcover-dataset", "kernel_id": "98545602"}, {"ref": "moderantnoukoussi/type-of-forest", "kernel_id": "99577569"}, {"ref": "denisochrimenko/okhrimenko-denis-lb2", "kernel_id": "99344083"}, {"ref": "romkakuskin/lab2-3", "kernel_id": "100678694"}, {"ref": "dxeeeee/xgboost-simple", "kernel_id": "101555440"}, {"ref": "actoweed/3315-vidyaev", "kernel_id": "102891587"}, {"ref": "moxha4/3-2-1", "kernel_id": "102639757"}, {"ref": "maxvitinsh/forest-cover-type-attempt1", "kernel_id": "102367518"}, {"ref": "nkvbkdvf/ml3311", "kernel_id": "102366632"}, {"ref": "benmurdock/forest-cover-type-prediction-stacking", "kernel_id": "103765854"}, {"ref": "colbymiller/forestcovermodelstacking", "kernel_id": "103706048"}, {"ref": "ryguy0802/forest-cover-final", "kernel_id": "103790702"}, {"ref": "ryguy0802/forest-cover-prediction-ensemble", "kernel_id": "103517999"}, {"ref": "marshallnielsen/forest-cover-prediction-notebook", "kernel_id": "103593730"}, {"ref": "basuadoor/ba-forestcover-dataset-submission", "kernel_id": "103933028"}, {"ref": "jworthen/final-stack", "kernel_id": "103676481"}, {"ref": "johnandelin/forest-cover-prediction", "kernel_id": "103721270"}, {"ref": "mohamedmegahed7/predicting-forest-cover-a-multi-class-study", "kernel_id": "103757211"}, {"ref": "danikal/forest-predictions-2", "kernel_id": "103223533"}, {"ref": "drewdeli/notebookd67eae9dac", "kernel_id": "103834259"}, {"ref": "lazarevaleksandr/forest-cover-type-prediction", "kernel_id": "103292718"}, {"ref": "artemochcka69/notebooke71e4d2466", "kernel_id": "103856859"}, {"ref": "kythhlwa/notebook097563fed4", "kernel_id": "104963877"}, {"ref": "pchelka1234/lab-3", "kernel_id": "104282382"}, {"ref": "alexanderromanoff/lb-3-forest-cover-type-prediction", "kernel_id": "104645823"}, {"ref": "red1t0mt/notebookb76c0e8743", "kernel_id": "104645071"}, {"ref": "xsertiym/notebook5ece4abbb0", "kernel_id": "104551939"}, {"ref": "djedai99/treeeeee", "kernel_id": "105483498"}, {"ref": "daanka/forestcover", "kernel_id": "105224072"}, {"ref": "ctrubinov/notebookd8714591ee", "kernel_id": "110199563"}, {"ref": "ebjdoe/forest-cover-what-54-features-actually-do", "kernel_id": "113044991"}, {"ref": "vinay24baghira/from-70pct-to-88pct-tuning-lightgbm-for-forests", "kernel_id": "114764885"}, {"ref": "godofthunder2407/forest-cover-pred", "kernel_id": "124885873"}, {"ref": "jimmyedward2/je-forest-cover", "kernel_id": "127729724"}]}
{"competition_id": "3940", "kernels": []}
{"competition_id": "3943", "kernels": []}
{"competition_id": "3947", "kernels": [{"ref": "jazivxt/and-the-winner-is-spacy-render", "kernel_id": "1898289"}, {"ref": "jazivxt/braveheart-at-home", "kernel_id": "1916866"}, {"ref": "chaitanyagarikipati/character-recognition-cnn", "kernel_id": "5837549"}, {"ref": "vandan20/ocr-using-different-methods-in-python", "kernel_id": "6809322"}, {"ref": "martinhaha/fastai-cv", "kernel_id": "13094045"}, {"ref": "andreibakulin/second-attempt-2", "kernel_id": "20326802"}, {"ref": "piterrudyy/julia", "kernel_id": "26473977"}, {"ref": "francescoliveras/julia-en-es-prediction", "kernel_id": "29506092"}, {"ref": "abhigyaverma/prediction-using-neural-network", "kernel_id": "35488715"}, {"ref": "hobbyai/pytorch-cnn-from-data-preprocessing-to-evaluation", "kernel_id": "36837711"}, {"ref": "ulazbent/notebook8a3d69c0a3", "kernel_id": "39989206"}, {"ref": "bengendamkoa/first-step-with-julia-knn-project", "kernel_id": "39884136"}, {"ref": "beomsulee/julia-with-cnn", "kernel_id": "39874759"}, {"ref": "evrendurmus/google-julia-cnn-classification-noregret", "kernel_id": "44211300"}, {"ref": "jamessuryaputra/julia-attack", "kernel_id": "53381964"}, {"ref": "serhiiyanovskii1/best-sollllll", "kernel_id": "75584096"}, {"ref": "silviafdezmrtnez/julia-en-es-prediction-135b9e", "kernel_id": "76928543"}, {"ref": "zobayerabedin/characterrecognitioncnn-with-google-street-view", "kernel_id": "80477851"}, {"ref": "zobayerabedin/characterrecognition-cnn-dataaugmentation", "kernel_id": "80511644"}, {"ref": "zobayerabedin/characterrecognition-transferlearning-resnet", "kernel_id": "80900233"}, {"ref": "nezha111/notebookdb0ba06658", "kernel_id": "81029536"}, {"ref": "sayedsalem/first-steps-with-julia-smote-pca-ann", "kernel_id": "86762586"}, {"ref": "gauripatil2299/getting-started-with-julia", "kernel_id": "87406514"}, {"ref": "antonglushko1/notebook303651314a", "kernel_id": "89133112"}, {"ref": "osmansevili/first-step-julia", "kernel_id": "97129179"}, {"ref": "gamzebabayigit/firststepjulia", "kernel_id": "102274195"}, {"ref": "malekrafat/character-recognition-with-efficientnetb0", "kernel_id": "120594250"}, {"ref": "franekwodarczyk/first-steps-with-julia-0-88179", "kernel_id": "123710221"}]}
{"competition_id": "3948", "kernels": [{"ref": "antgoldbloom/random-forest-benchmark", "kernel_id": "599"}, {"ref": "timderzauberer/notebook-7c7b1bd4b15ff6b743e5", "kernel_id": "23095"}, {"ref": "benhamner/julia-default-script-1", "kernel_id": "3103"}, {"ref": "benhamner/correlation-on-internal-validation-set", "kernel_id": "1232"}, {"ref": "benhamner/what-drives-demand-for-dc-bike-rentals", "kernel_id": "1000"}, {"ref": "benhamner/bike-rentals-by-time-and-temperature", "kernel_id": "89"}, {"ref": "benhamner/bike-rentals-by-time", "kernel_id": "90"}, {"ref": "benhamner/random-forest-benchmark-2", "kernel_id": "91"}, {"ref": "benhamner/installed-r-packages-1", "kernel_id": "92"}, {"ref": "benhamner/default-r-script-1", "kernel_id": "150"}, {"ref": "benhamner/fiddling-with-python", "kernel_id": "158"}, {"ref": "benhamner/temperature-distribution-in-dc", "kernel_id": "161"}, {"ref": "benhamner/train-test-time", "kernel_id": "247"}, {"ref": "dchudz/rmarkdown-starter-script", "kernel_id": "722"}, {"ref": "dchudz/bike-rentals-by-time-and-temperature", "kernel_id": "94"}, {"ref": "ibtgbijsb/testing", "kernel_id": "841"}, {"ref": "ibtgbijsb/testing2", "kernel_id": "846"}, {"ref": "fperez/notebook-1069f7a7bdb6bb7e7865", "kernel_id": "21897"}, {"ref": "sgoswami/notebook-4ba5af37bed40cc59a96", "kernel_id": "47681"}, {"ref": "datacanary/notebook-09f8364668a016f99457", "kernel_id": "21997"}, {"ref": "wendykan/train-test-time", "kernel_id": "245"}, {"ref": "leonidz/notebook-b954c32bb92ecbe9187b", "kernel_id": "32932"}, {"ref": "leonidz/notebook-323d9675c76f66e7ec5b", "kernel_id": "32933"}, {"ref": "kumareshd/try-something", "kernel_id": "17575"}, {"ref": "kumareshd/trying-something", "kernel_id": "17330"}, {"ref": "casalicchio/tuning-with-mlr", "kernel_id": "162437"}, {"ref": "lazyanalyst/aaaaa", "kernel_id": "91759"}, {"ref": "aparij/random-forest-benchmark", "kernel_id": "164"}, {"ref": "syedakbarahmad/random-forest-benchmark", "kernel_id": "68543"}, {"ref": "ahuaay/notebookaa4c4b9edf", "kernel_id": "100173"}, {"ref": "biaoyang/fixed-effects-poisson-regression-model", "kernel_id": "259077"}, {"ref": "hyungjinkang/test2", "kernel_id": "4874"}, {"ref": "anaderi/notebook-78eac5d4513c913b1428", "kernel_id": "46609"}, {"ref": "joseantonioalvarezcubero/prueba", "kernel_id": "126"}, {"ref": "abhishekdewan/version-1", "kernel_id": "2920"}, {"ref": "sixianghu/random-forest-benchmark", "kernel_id": "3016"}, {"ref": "triskelion/gif-test", "kernel_id": "532"}, {"ref": "triskelion/by-time", "kernel_id": "125"}, {"ref": "triskelion/check-adherence-to-benford-s-law", "kernel_id": "177"}, {"ref": "triskelion/testing", "kernel_id": "159"}, {"ref": "triskelion/python-test", "kernel_id": "160"}, {"ref": "triskelion/average-monthly-rental-counts", "kernel_id": "207"}, {"ref": "triskelion/testing-seaborn", "kernel_id": "214"}, {"ref": "learningmarkus/notebook24b2ada52b", "kernel_id": "120569"}, {"ref": "dawny33/vicycle-kaggle-py", "kernel_id": "21224"}, {"ref": "lydieberget1/rkjkdjkj", "kernel_id": "6895"}, {"ref": "jjdblast/notebook-bef75278caf12c870419", "kernel_id": "23610"}, {"ref": "aidangawronski/check-adherence-to-benford-s-law", "kernel_id": "179"}, {"ref": "viveksrinivasan/eda-ensemble-model-top-10-percentile", "kernel_id": "174408"}, {"ref": "analyzehis/notebook-63c8bb909a9b7adb0375", "kernel_id": "46452"}, {"ref": "gatesmbrown/firstscript", "kernel_id": "16927"}, {"ref": "naveenkaveti/random-forest-benchmark", "kernel_id": "148"}, {"ref": "liangjiaxing/show-row-and-column-numbers", "kernel_id": "4930"}, {"ref": "danwgifford/notebook-5ab961d8dfcc396dc41d", "kernel_id": "32153"}, {"ref": "oveie1/my-first-script", "kernel_id": "7479"}, {"ref": "pritipatra/rf-cart-ensemble-model", "kernel_id": "4793"}, {"ref": "quantumdamage/bike-sharing-demand", "kernel_id": "156200"}, {"ref": "nielsenmarkus11/bike-rentals-by-time", "kernel_id": "110852"}, {"ref": "nielsenmarkus11/weekday-temp", "kernel_id": "110863"}, {"ref": "nielsenmarkus11/notebook5b2c14c54e", "kernel_id": "110864"}, {"ref": "nielsenmarkus11/weekday-temp-r", "kernel_id": "110866"}, {"ref": "nasimk/notebook-484411c5656f7c2d913d", "kernel_id": "74200"}, {"ref": "nasimk/notebook-04521b275c899f39a725", "kernel_id": "74201"}, {"ref": "nasimk/notebook-05321ad8522bc1dfbba2", "kernel_id": "74202"}, {"ref": "nasimk/notebook-82408b0f2ac8e5604ad9", "kernel_id": "74204"}, {"ref": "shanxin136/bike-rentals-by-time-and-temperature", "kernel_id": "93"}, {"ref": "edussx/random-forest-benchmark", "kernel_id": "313"}, {"ref": "bwalrond/notebook-62d73d43ba50aef6a769", "kernel_id": "24809"}, {"ref": "abidahaque/notebook-b42dedf9dfdee6d39dfa", "kernel_id": "37901"}, {"ref": "keycai/random-forest-benchmark", "kernel_id": "768"}, {"ref": "pkdesai/predicting-bike-sharing-with-xgboost", "kernel_id": "103406"}, {"ref": "keshavkumar/bike-sharing-demand", "kernel_id": "174994"}, {"ref": "stephenbuckley/random-forest-benchmark", "kernel_id": "5092"}, {"ref": "ericren/eric-s", "kernel_id": "4808"}, {"ref": "ericren/dlldla", "kernel_id": "4810"}, {"ref": "vsmolyakov/bike-demand", "kernel_id": "128881"}, {"ref": "ronyrozas/script", "kernel_id": "218"}, {"ref": "gowdhamand/bike-rentals-by-time", "kernel_id": "241"}, {"ref": "ryuqae/notebook21f67a91d9", "kernel_id": "229216"}, {"ref": "alfredmungai/bike-rentals-by-time-and-temperature", "kernel_id": "3203"}, {"ref": "samedelstein/random-forest-benchmark", "kernel_id": "25248"}, {"ref": "trishablack/bike-rentals-by-time-and-temperature", "kernel_id": "38283"}, {"ref": "trishablack/notebook-7927915bb4c199124f9f", "kernel_id": "38285"}, {"ref": "h19881812/data-vizualization", "kernel_id": "107667"}, {"ref": "evaristoc/once-upon-an-time-a-fish", "kernel_id": "191"}, {"ref": "evaristoc/humidity-too", "kernel_id": "178"}, {"ref": "kimchicandy/notebook-f8c7a9f90d9d353bc258", "kernel_id": "77071"}, {"ref": "rjollet/notebookee4196225f", "kernel_id": "110317"}, {"ref": "samppan/bike-share-demand-script", "kernel_id": "4628"}, {"ref": "miaoer/random-forest-benchmark", "kernel_id": "104"}, {"ref": "shashankbhasker/regression-methods-for-bike-sharing-data", "kernel_id": "84137"}, {"ref": "datamunge/predicting-bike-sharing-with-xgboost", "kernel_id": "121755"}, {"ref": "physicyst/notebook22e6d8417d", "kernel_id": "217681"}, {"ref": "anshumanvenkatesh/eda-ensemble-model-top-10-percentile", "kernel_id": "252176"}, {"ref": "hackinto/random-forest-benchmark", "kernel_id": "13476"}, {"ref": "sinilochka/garch-modeling-time-series", "kernel_id": "89596"}, {"ref": "borozanov/random-forest-benchmark", "kernel_id": "33602"}, {"ref": "balajee/bike-s", "kernel_id": "20658"}, {"ref": "hanxiaoyang/notebook-b1c2ef67aa27a804ca27", "kernel_id": "60771"}, {"ref": "drawer/notebook-edb3f0de2a16a3157b29", "kernel_id": "22645"}, {"ref": "jahnab/rf-cart-ensemble-model", "kernel_id": "4827"}, {"ref": "jahnab/rfcart", "kernel_id": "4828"}, {"ref": "winnieliu/notebook-80fa1e1194260ed5e5e7", "kernel_id": "27231"}, {"ref": "iec2011007/notebook-69a03602418f4826049a", "kernel_id": "30235"}, {"ref": "wfccgs/random-forest-benchmark", "kernel_id": "262"}, {"ref": "snakoneczny/notebook-c9f66c41d3be522c5624", "kernel_id": "64322"}, {"ref": "citrucel/once-upon-a-time-a-fish", "kernel_id": "933"}, {"ref": "monilshaah/test1", "kernel_id": "24798"}, {"ref": "monilshaah/bike-rentals-by-time", "kernel_id": "24801"}, {"ref": "sumendar/train", "kernel_id": "8618"}, {"ref": "prudhv16/notebook-996a9ec2d6a3a9eb0488", "kernel_id": "25633"}, {"ref": "ymcdull/frank-bike-test", "kernel_id": "67301"}, {"ref": "ymcdull/notebook-1d80546a10bdef5ab123", "kernel_id": "67298"}, {"ref": "prashanth1990/notebook-bf6abbc0f0c75662ed1f", "kernel_id": "36274"}, {"ref": "prashanth1990/notebook-8b4abdf9a3b1a32a5e9f", "kernel_id": "36105"}, {"ref": "prashanth1990/preliminary-exploration", "kernel_id": "36106"}, {"ref": "samiginsburg/attempt-1", "kernel_id": "276"}, {"ref": "askrotov/available-python-libraries", "kernel_id": "4321"}, {"ref": "ajfins/testing", "kernel_id": "1668"}, {"ref": "monikabhajipale/loading-data", "kernel_id": "202"}, {"ref": "martin7/what-drives-demand-for-dc-s-bikes", "kernel_id": "4346"}, {"ref": "cathvoilet/myrbx001", "kernel_id": "5465"}, {"ref": "yalchik/by-time", "kernel_id": "103"}, {"ref": "kerchinger/random-forest-benchmark", "kernel_id": "3244"}, {"ref": "bgoodmanunf1/tesst", "kernel_id": "835"}, {"ref": "beyondtt/bike-rentals-by-time-and-temperature", "kernel_id": "714"}, {"ref": "timabram/bike-rentals-by-time-and-temperature", "kernel_id": "705"}, {"ref": "kgudger/cycling-in-the-rain-humidity-too", "kernel_id": "2686"}, {"ref": "aamanlamba/testr-bike", "kernel_id": "219"}, {"ref": "mahimabedi/notebook-8454f732690ed6c9998c", "kernel_id": "24494"}, {"ref": "chaikothari/rf-cart-ensemble-model", "kernel_id": "4597"}, {"ref": "zy999999/aaaaa", "kernel_id": "2910"}, {"ref": "taotaohu/practice", "kernel_id": "244400"}, {"ref": "smirshekari/bike-rentals-by-time", "kernel_id": "3319"}, {"ref": "ksodipo/fiddling-with-python", "kernel_id": "978"}, {"ref": "yonioc/random-forest-benchmark", "kernel_id": "230"}, {"ref": "kshx333840/train", "kernel_id": "307"}, {"ref": "ankithaiyar/random2", "kernel_id": "273"}, {"ref": "shadowfax61/fork-of-initial", "kernel_id": "193295"}, {"ref": "shadowfax61/initial", "kernel_id": "190034"}, {"ref": "arjuntina/random-forest-benchmark", "kernel_id": "352"}, {"ref": "jamiecollinson/notebook-a1136183ef969270526e", "kernel_id": "80679"}, {"ref": "jatinbhatia1/random-forest-benchmark", "kernel_id": "360"}, {"ref": "jatinbhatia1/what-drives-demand-for-dc-bike-rentals", "kernel_id": "1290"}, {"ref": "matthewshirley/random-forest-benchmark", "kernel_id": "351"}, {"ref": "hygd90/temperature-distribution-in-dc1", "kernel_id": "11690"}, {"ref": "sujithkumartamilselvan/random-forest-benchmark", "kernel_id": "486"}, {"ref": "mattlei/bike-sharing-demand", "kernel_id": "131051"}, {"ref": "mattlei/notebook095962a12e", "kernel_id": "131041"}, {"ref": "timscul/testt", "kernel_id": "553"}, {"ref": "cs822saniawaseem1/waseem", "kernel_id": "2980"}, {"ref": "badrinarayanan2/bike-rent", "kernel_id": "853"}, {"ref": "xinqianh/random-forest-benchmark", "kernel_id": "6120"}, {"ref": "cila1bnu/random-forest-benchmark", "kernel_id": "6141"}, {"ref": "hebaodan/just-a-test", "kernel_id": "6157"}, {"ref": "hebaodan/tryad", "kernel_id": "6240"}, {"ref": "hebaodan/final", "kernel_id": "6274"}, {"ref": "mattgenkin/exploring-dataset", "kernel_id": "3310"}, {"ref": "timclaessens/bike-rentals-by-time-and-temperature", "kernel_id": "1331"}, {"ref": "louismartin/test1", "kernel_id": "3278"}, {"ref": "sreeen/test1", "kernel_id": "1690"}, {"ref": "rdodds/check-adherence-to-benford-s-law", "kernel_id": "2500"}, {"ref": "nclsbrl/bike-sharing-test", "kernel_id": "57770"}, {"ref": "ricardorios/notebook1c4cb00038", "kernel_id": "111238"}, {"ref": "ricardorios/seasonal-patterns-in-bike-sharing-demand", "kernel_id": "111241"}, {"ref": "ricardorios/notebookd92cb2bed2", "kernel_id": "111168"}, {"ref": "ryanhausen/teste", "kernel_id": "2763"}, {"ref": "alejandratabordalondono/random-forest-benchmark", "kernel_id": "3045"}, {"ref": "hnkryden/notebook4ae7c3ab08", "kernel_id": "211666"}, {"ref": "jeanemmanuel/exploring-dataset", "kernel_id": "4640"}, {"ref": "richarddeng88/random-forest-benchmark", "kernel_id": "34370"}, {"ref": "jonathank1/bikes", "kernel_id": "3121"}, {"ref": "jellishero/rf-cart-ensemble-model", "kernel_id": "4809"}, {"ref": "inversquare/random-forest-benchmark", "kernel_id": "4749"}, {"ref": "heavy02011/myrbx001", "kernel_id": "4812"}, {"ref": "simonku/notebook-2a837e85f2d4b9e91f0c", "kernel_id": "78296"}, {"ref": "abudniy/bikes", "kernel_id": "91891"}, {"ref": "ritahu51/random-forest-benchmark", "kernel_id": "5921"}, {"ref": "montanha/test1", "kernel_id": "5639"}, {"ref": "spiracular/bikedataset", "kernel_id": "105110"}, {"ref": "spiracular/notebooka6e154f768", "kernel_id": "105111"}, {"ref": "yigalw/gradientboostingregressor", "kernel_id": "144017"}, {"ref": "yigalw/gradientboostingregressor-88fe5133", "kernel_id": "145446"}, {"ref": "yigalw/preliminary-exploration", "kernel_id": "161561"}, {"ref": "cakesmcgoose/bike-rentals-by-time-and-temperature", "kernel_id": "7028"}, {"ref": "howdark/randomforest-benchmark", "kernel_id": "7142"}, {"ref": "louislung/testing", "kernel_id": "126387"}, {"ref": "taylorma/w207-final-proj", "kernel_id": "8664"}, {"ref": "dlegenzoff/notebook1811f24ba7", "kernel_id": "210788"}, {"ref": "fuzwoo/notebook-e5ef2cd2f89240fde084", "kernel_id": "24643"}, {"ref": "apapiu/predicting-bike-sharing-with-xgboost", "kernel_id": "91904"}, {"ref": "apapiu/random-forest-on-bike-sharing", "kernel_id": "91892"}, {"ref": "jitu38/bike-sharing-demand-random-forest", "kernel_id": "177178"}, {"ref": "dujekmancin/bike-comp", "kernel_id": "57662"}, {"ref": "dujekmancin/notebook-afb7d0aaa42744628986", "kernel_id": "57653"}, {"ref": "dujekmancin/notebook-68a35dcb8d464c5e7602", "kernel_id": "57657"}, {"ref": "xjm1021/random-forest-benchmark", "kernel_id": "21621"}, {"ref": "jefftsai/notebook-4b4b49ed25ec1c34ff02", "kernel_id": "39232"}, {"ref": "smupalla/random-forest-benchmark", "kernel_id": "37371"}, {"ref": "nicholeli/notebook-c19308d2047b90be8ca2", "kernel_id": "43811"}, {"ref": "allynlea/notebook-30f0ca0de2756aff45ec", "kernel_id": "53133"}, {"ref": "allynlea/bike-sharing", "kernel_id": "53136"}, {"ref": "allynlea/notebook-0d4ae8e3198f16de4632", "kernel_id": "53125"}, {"ref": "jubotan/notebook-e7a49b9fba5f604cf4b2", "kernel_id": "22362"}, {"ref": "qinyizh/notebook-9f53e4d2a65f832713c1", "kernel_id": "27029"}, {"ref": "qinyizh/notebook-78d35a5fcde5449cd031", "kernel_id": "27030"}, {"ref": "adrienrenaud/notebook-bf69729fe58ff122cefc", "kernel_id": "31787"}, {"ref": "adelv88/exploratoryanalysis", "kernel_id": "21873"}, {"ref": "adelv88/datasetexploration", "kernel_id": "21020"}, {"ref": "adelv88/featuresselection", "kernel_id": "21046"}, {"ref": "sumit1403/notebook-a4d40d2666d43cf00a16", "kernel_id": "24377"}, {"ref": "profandrea/notebook-e81de12171400f65a0aa", "kernel_id": "21421"}, {"ref": "finetea/test1", "kernel_id": "26711"}, {"ref": "rgcanhete/notebook-47deeffa45aa3d58106a", "kernel_id": "23806"}, {"ref": "awakenliving/notebook-53dab3facc034571817b", "kernel_id": "23887"}, {"ref": "ygao87/notebook-499b3ec43c69e7fa89f4", "kernel_id": "24810"}, {"ref": "ignacioch/bike-demand-forecast-v1-3", "kernel_id": "328640"}, {"ref": "binh211/notebookffb1e41baa", "kernel_id": "157848"}, {"ref": "lincoln2491/random-forest-benchmark", "kernel_id": "25590"}, {"ref": "zhagn120/notebook-3fd5c58697b3048c739d", "kernel_id": "27228"}, {"ref": "gojianli/random-forest-fish", "kernel_id": "29395"}, {"ref": "gojianli/linear-regression-fish", "kernel_id": "29392"}, {"ref": "gojianli/notebook-5a390a79a1a5187c433d", "kernel_id": "29388"}, {"ref": "gojianli/simple-model-fish2", "kernel_id": "29390"}, {"ref": "gojianli/notebook-e4ab37a10ac68ea161b7", "kernel_id": "29384"}, {"ref": "gojianli/simple-model-fish", "kernel_id": "29385"}, {"ref": "gojianli/notebook-d6cba3b66b671112262e", "kernel_id": "29444"}, {"ref": "gojianli/simple-model-cao", "kernel_id": "29445"}, {"ref": "rssdma/notebook-d2637a5e9f6be60e2f31", "kernel_id": "55390"}, {"ref": "alvinyxm/notebook-af734b072122cbf775a0", "kernel_id": "27584"}, {"ref": "sunnyli/notebook-02adb26131d4cd35a5c6", "kernel_id": "28500"}, {"ref": "sunnyli/notebook-f406e1cbce7d2c49e156", "kernel_id": "28501"}, {"ref": "sunnyli/notebook-2eebd96ccfd449f220a2", "kernel_id": "28502"}, {"ref": "suhasedavalli/notebook-1692bf685f8077c51869", "kernel_id": "28810"}, {"ref": "suhasedavalli/notebook-7d2d409dc03629933bb0", "kernel_id": "28811"}, {"ref": "suhasedavalli/notebook-c59616395214c5be1108", "kernel_id": "28812"}, {"ref": "xchen78/submission-s", "kernel_id": "29662"}, {"ref": "xchen78/simp1", "kernel_id": "29660"}, {"ref": "xchen78/notebook-d3a43a8f33c13fe63073", "kernel_id": "29649"}, {"ref": "xchen78/simple-2", "kernel_id": "29651"}, {"ref": "xchen78/fit-lm", "kernel_id": "29666"}, {"ref": "xchen78/randomf", "kernel_id": "29743"}, {"ref": "akgeni/random-forest-with-seasonal-feaures", "kernel_id": "548976"}, {"ref": "indymccarthy/fooofof", "kernel_id": "115280"}, {"ref": "sujeetk/notebookde772f5a76", "kernel_id": "123746"}, {"ref": "sujeetk/notebook2a3d2707e9", "kernel_id": "123748"}, {"ref": "sujeetk/notebook34bfcd4146", "kernel_id": "123003"}, {"ref": "timgasser/notebook0ff44d76eb", "kernel_id": "152721"}, {"ref": "annahedstrom/notebook-43981da5e061f9dd73bf", "kernel_id": "45856"}, {"ref": "praveenarangavajhula/bike-rentals-by-time", "kernel_id": "35131"}, {"ref": "somixox/bike-rentals-by-time-and-temperature", "kernel_id": "33757"}, {"ref": "jaimisk/bike-sharing-plots", "kernel_id": "220369"}, {"ref": "taygetea/notebook-2df6d08896409059f912", "kernel_id": "43103"}, {"ref": "taygetea/testing-testing", "kernel_id": "43105"}, {"ref": "codelord/notebook-f9c6dd2afafa1a233408", "kernel_id": "39559"}, {"ref": "hcljas/bike-rentals-by-time-and-temperature", "kernel_id": "43677"}, {"ref": "hcljas/notebook-ddbdb2b80f8b1facf0df", "kernel_id": "43678"}, {"ref": "adrianprayoga/ride-sharing", "kernel_id": "216732"}, {"ref": "leenas/bike-rental-predictions-using-lr-rf-gbr", "kernel_id": "183238"}, {"ref": "kaixuantang/notebook724e3522f8", "kernel_id": "129704"}, {"ref": "jihyeseo/bike-eda-time-series-regress", "kernel_id": "958122"}, {"ref": "liuzhui/bike-demand", "kernel_id": "604509"}, {"ref": "introoz/learningml", "kernel_id": "57409"}, {"ref": "aniket2029/predicting-bike-sharing-with-xgboost", "kernel_id": "269992"}, {"ref": "catherinedans/notebook-d0dd48bcafd4bf307f36", "kernel_id": "70861"}, {"ref": "panoptic/notebook8b202bab24", "kernel_id": "91360"}, {"ref": "igauty/frank-bike-test", "kernel_id": "85607"}, {"ref": "igauty/notebook-1c984f0cf5dcc38e9d8b", "kernel_id": "75104"}, {"ref": "jjuanramos/bike-sharing-demand", "kernel_id": "238911"}, {"ref": "toshisada/notebook-a20a88a97b5c0f6d000a", "kernel_id": "52231"}, {"ref": "toshisada/notebook-0d4c1e9dd0176981d514", "kernel_id": "52232"}, {"ref": "sancychen/notebook-5b7f44fcff673214f1a7", "kernel_id": "54114"}, {"ref": "amanmanawat/practi", "kernel_id": "174959"}, {"ref": "amanmanawat/practise", "kernel_id": "174937"}, {"ref": "valeriyparubets/sklearn-gbr-0-413", "kernel_id": "674404"}, {"ref": "valeriyparubets/bike-sharing-demand-xgboost-sklearn", "kernel_id": "687363"}, {"ref": "yeepom/notebook6a3da06e93", "kernel_id": "117568"}, {"ref": "yeepom/notebook747181624b", "kernel_id": "117001"}, {"ref": "yeepom/bike-sharing-demand", "kernel_id": "117002"}, {"ref": "devrohitraj/bike-sharing-using-random-forest", "kernel_id": "236464"}, {"ref": "anadichaturvedi/testing", "kernel_id": "117630"}, {"ref": "anadichaturvedi/first-script-bike-sharing-demand", "kernel_id": "117567"}, {"ref": "ashishmis/predicting-the-count-of-bikes-rented", "kernel_id": "208710"}, {"ref": "mhiouahsophia/notebook-66bce1b2ebe8f97169c4", "kernel_id": "61514"}, {"ref": "iitianrks/notebook2104ba1d82", "kernel_id": "128735"}, {"ref": "meurett/coucou", "kernel_id": "63955"}, {"ref": "aevinq/notebook2878c1db15", "kernel_id": "137812"}, {"ref": "aevinq/notebookc4ca2f69ee", "kernel_id": "137741"}, {"ref": "belucky/my-study-on-bike-sharing-demand", "kernel_id": "589595"}, {"ref": "idolin/notebook5d225c5533", "kernel_id": "101589"}, {"ref": "dragonheart/regression-methods-for-bike-sharing-data", "kernel_id": "92569"}, {"ref": "dragonheart/preliminary-exploration", "kernel_id": "92644"}, {"ref": "dragonheart/notebooke06ba55084", "kernel_id": "105342"}, {"ref": "chleonhart/test-with-rf", "kernel_id": "77866"}, {"ref": "rockmama/notebook713ab5bd94", "kernel_id": "274132"}, {"ref": "jdyojdyo/notebookeaf65828a7", "kernel_id": "94098"}, {"ref": "jdyojdyo/check-adherence", "kernel_id": "103194"}, {"ref": "dixonhu/regression-methods-for-bike-sharing-data", "kernel_id": "96469"}, {"ref": "jieyue999/bike-explore", "kernel_id": "116974"}, {"ref": "guptasud/notebook-58db4e76b5452b2ab915", "kernel_id": "81089"}, {"ref": "guptasud/notebook-dbb37081e82488b9afb6", "kernel_id": "81090"}, {"ref": "guptasud/test1run", "kernel_id": "81091"}, {"ref": "nairvine/random-forest-benchmark", "kernel_id": "118665"}, {"ref": "miker2016/mikers-test", "kernel_id": "95214"}, {"ref": "yashkarwa/linear-regression-for-bike-sharing", "kernel_id": "113143"}, {"ref": "gauravjindal2309/bike-sharing", "kernel_id": "155539"}, {"ref": "gauravjindal2309/bike-sharing-demand", "kernel_id": "155500"}, {"ref": "ssmeoz/1st-kaggle-try-bike-sharing-demand", "kernel_id": "91334"}, {"ref": "uzzang/notebook754f05dd90", "kernel_id": "94277"}, {"ref": "micahprice/gugyty", "kernel_id": "105108"}, {"ref": "affemitwaffel/notebookdad510765b", "kernel_id": "237265"}, {"ref": "rapriyesid/bike-sharing-easy-peezy", "kernel_id": "266140"}, {"ref": "mateogarcia/random-forest-benchmark", "kernel_id": "135894"}, {"ref": "ratnesh88/prediction-using-tensor-flow", "kernel_id": "833544"}, {"ref": "przebieglykaziu/notebook64a6408c42", "kernel_id": "129697"}, {"ref": "wenshi/notebook71bdbb2afe", "kernel_id": "123289"}, {"ref": "argali/notebookc206ca6762", "kernel_id": "104511"}, {"ref": "argali/notebook82c3007c22", "kernel_id": "105543"}, {"ref": "gnxsxm/predicting-bike-sharing-with-xgboost", "kernel_id": "142830"}, {"ref": "moemeo/exploratory-analysis-and-prediction-on-train-csv", "kernel_id": "239231"}, {"ref": "benoitkoen/notebookb6f1bb610a", "kernel_id": "148272"}, {"ref": "laurentlin/notebook1650943441", "kernel_id": "113988"}, {"ref": "aditi6822/bike-rental-system", "kernel_id": "122375"}, {"ref": "aditi6822/notebook3e6d6f8c5b", "kernel_id": "122383"}, {"ref": "aditi6822/bike-rental", "kernel_id": "122384"}, {"ref": "joshtwilde/bike-explore", "kernel_id": "112166"}, {"ref": "sriharshabs/predicting-the-count-of-bikes-rented", "kernel_id": "210765"}, {"ref": "oliverli/notebook4c61752610", "kernel_id": "110399"}, {"ref": "ojasagarwal/notebook5114116c22", "kernel_id": "578482"}, {"ref": "pietroturati/notebook218c971cf5", "kernel_id": "118859"}, {"ref": "rickylee/notebookcaaeb2b3d4", "kernel_id": "117406"}, {"ref": "minamy/trial", "kernel_id": "109043"}, {"ref": "shoubusi/notebooka69580b030", "kernel_id": "121527"}, {"ref": "eliiraj/random-forest-on-bike-sharing", "kernel_id": "137688"}, {"ref": "zzdu2013/notebook12043f1001", "kernel_id": "124887"}, {"ref": "richgillett/bike-rentals-by-time", "kernel_id": "113781"}, {"ref": "monsterspy/eda-xgboost", "kernel_id": "353355"}, {"ref": "kuldeepaksharma/notebook515eaa824a", "kernel_id": "171598"}, {"ref": "paulourio/ridge-regression-top-8", "kernel_id": "804273"}, {"ref": "haoxingxing/notebook8fece8653a", "kernel_id": "122534"}, {"ref": "cwd251/exploratory-data-analysis-on-bike-sharing-dataset", "kernel_id": "184499"}, {"ref": "asdfzxc/notebook9204815988", "kernel_id": "118670"}, {"ref": "artursuchocki/python-solution-on-apache-spark-full-eda", "kernel_id": "341552"}, {"ref": "artursuchocki/python-solution-on-apache-spark-2-1-full-eda", "kernel_id": "341556"}, {"ref": "lunaguan/notebook5801384e8a", "kernel_id": "121235"}, {"ref": "yaroshevskiy/fork-of-bike-rental-predictions-using-lr-rf-gbr", "kernel_id": "194213"}, {"ref": "yaroshevskiy/bike-rental-predictions-using-lr-rf-gbr", "kernel_id": "156375"}, {"ref": "yaroshevskiy/notebook5dfe01c1c1", "kernel_id": "156426"}, {"ref": "yaroshevskiy/fork-of-bike-rental-predictions-using-randomforest", "kernel_id": "156512"}, {"ref": "dudu82/notebookfcb639ff25", "kernel_id": "121910"}, {"ref": "xanthate/bike-sharing-demand", "kernel_id": "568717"}, {"ref": "andreeasandu/part-1-bike-sharing-dataset-statistics", "kernel_id": "761666"}, {"ref": "tianji/bike-rental-predictions-using-lr-rf-gbr", "kernel_id": "224734"}, {"ref": "kdanalytics/rcode-ikd-aggvsdisagg-bikedemand-prediction", "kernel_id": "719996"}, {"ref": "sunilkumarrai/eda-factors-and-data-visualization", "kernel_id": "521786"}, {"ref": "azmpossum/random-forest-benchmark", "kernel_id": "126652"}, {"ref": "forsakenrei/predicting-bike-sharing-with-xgboost", "kernel_id": "161195"}, {"ref": "shubham619/count-viz", "kernel_id": "369731"}, {"ref": "utkancandogan/estimating-number-of-bikes", "kernel_id": "360262"}, {"ref": "ramapandey/notebookeaf4671ce9", "kernel_id": "273659"}, {"ref": "tomoyasuzuka/notebook564ef2dc7f", "kernel_id": "131983"}, {"ref": "soupim/notebook630b4422bd", "kernel_id": "168339"}, {"ref": "skkaggle/bike-sharing-test", "kernel_id": "261147"}, {"ref": "abhishekaarush/gradientboostingregressor", "kernel_id": "142274"}, {"ref": "bsnyder/predicting-bike-sharing-with-xgboost", "kernel_id": "143787"}, {"ref": "ghochard/model-benchmark", "kernel_id": "142920"}, {"ref": "ghochard/notebook8dfba53922", "kernel_id": "142921"}, {"ref": "luckygirl123/notebook67c177abb3", "kernel_id": "147096"}, {"ref": "luckygirl123/notebook35a89d10ba", "kernel_id": "147124"}, {"ref": "liujilong/notebookef4c7b05e8", "kernel_id": "268970"}, {"ref": "chinaweboptimization/notebook2ea76372c7", "kernel_id": "215599"}, {"ref": "vikrantthakur14/notebook89202cb66f", "kernel_id": "202272"}, {"ref": "abhinavrangarajan/notebookfe1dff5a07", "kernel_id": "163026"}, {"ref": "pradeepp/fork-of-bike-sharing-demand-4cast", "kernel_id": "503999"}, {"ref": "sagarpavan123/bike-rentals-prediction-using-linear-regression", "kernel_id": "372366"}, {"ref": "hhlkaggle/eda-ensemble-model-top-10-percentile", "kernel_id": "247500"}, {"ref": "fpsawicki/bike-sharing", "kernel_id": "220401"}, {"ref": "salehai/fork-of-more-insights-on-casual-and-registered", "kernel_id": "231440"}, {"ref": "salehai/fork-of-notebook0098aab82c", "kernel_id": "229515"}, {"ref": "salehai/more-insights-on-casual-and-registered", "kernel_id": "226701"}, {"ref": "surenders/eda-ensemble-model-giving-41", "kernel_id": "252170"}, {"ref": "majstorbob/predicting-bike-sharing-with-xgboost", "kernel_id": "196286"}, {"ref": "jindongwang92/bike-rental-predictions-using-lr-rf-gbr", "kernel_id": "187641"}, {"ref": "jindongwang92/gradientboostingregressor", "kernel_id": "188436"}, {"ref": "babass/notebookc68b475376", "kernel_id": "197094"}, {"ref": "pypuppy/liu-bike-prediction", "kernel_id": "218763"}, {"ref": "zinkaggle/bike-sharing-demand-prediction-linear-regression", "kernel_id": "258325"}, {"ref": "anuragreddy333/data-vizualization", "kernel_id": "319291"}, {"ref": "jkaturi/visualizing-washington-dc-bikeshare-data", "kernel_id": "206397"}, {"ref": "kelvin1567/notebookc9ce4af642", "kernel_id": "215605"}, {"ref": "adanfa/notebook87b88672b2", "kernel_id": "231819"}, {"ref": "qweasddd/bike-rental-predictions-using-lr-rf-gbr", "kernel_id": "234719"}, {"ref": "thefnayou/notebook4289dc2e44", "kernel_id": "241937"}, {"ref": "manjuprakashr/notebookfb1e8a059a", "kernel_id": "243112"}, {"ref": "yanbixing/eda-ensemble-model-top-10-percentile-forked", "kernel_id": "266310"}, {"ref": "traumong/my-analysis", "kernel_id": "288091"}, {"ref": "shivani1711/top-10-percentile-xgboost", "kernel_id": "941943"}, {"ref": "moonpray/base-script-and-grid-parameter", "kernel_id": "350975"}, {"ref": "huangzhuangzhuang/kaggle", "kernel_id": "236306"}, {"ref": "miteshyadav/predicting-bicycle-usage-count-using-rfregressor", "kernel_id": "402245"}, {"ref": "miteshyadav/comprehensive-eda-with-xgboost-top-10-percentile", "kernel_id": "411550"}, {"ref": "rameshkumarak/predict-bike-sharing-demand-using-boosting-pca", "kernel_id": "238924"}, {"ref": "saivarunk/exploratory-analysis", "kernel_id": "332734"}, {"ref": "hemanths01/bike-share", "kernel_id": "331258"}, {"ref": "hcyan1023/random-forest-benchmark", "kernel_id": "259249"}, {"ref": "jayspeidell/bikeshare-random-forest-first-attempt", "kernel_id": "348925"}, {"ref": "jayspeidell/visualizing-and-modeling-dc-bikeshare-ridership", "kernel_id": "883641"}, {"ref": "shwetp/bikesharingrandomforest", "kernel_id": "313188"}, {"ref": "ayush01/visualisation-of-bike-sharing-demand", "kernel_id": "514242"}, {"ref": "dellimxx/eda-visualization-data-regression-model", "kernel_id": "715131"}, {"ref": "rskn1987/bike-sharing-demand-code", "kernel_id": "321318"}, {"ref": "jozeelin/bike-sharing-demand-by-gbm", "kernel_id": "791533"}, {"ref": "paolo8/what-drives-demand-for-dc-bike-rentals", "kernel_id": "423725"}, {"ref": "flyingwombat/linear-regression-and-bike-sharing-demand", "kernel_id": "332061"}, {"ref": "srvmaharana/bike-prediction", "kernel_id": "412798"}, {"ref": "bqlearner/dc-bike-sharing-demand", "kernel_id": "428409"}, {"ref": "thilakshasilva/predicting-bike-rental-demand", "kernel_id": "495587"}, {"ref": "prakashram/notebook6af735cddb", "kernel_id": "480033"}, {"ref": "prakashram/fork-of-notebook6af735cddb", "kernel_id": "485605"}, {"ref": "danielbleirj/randomforest-bike-sharing-demand", "kernel_id": "722666"}, {"ref": "danielbleirj/xgboost-bike-sharing-demand", "kernel_id": "771258"}, {"ref": "hyunkyung12/kernele62fbf11fd", "kernel_id": "662511"}, {"ref": "boldy717/bike-sharing-demand-eda-model-fitting", "kernel_id": "963360"}, {"ref": "delimixx/beginner-second-analytics-eda-gbr", "kernel_id": "817152"}, {"ref": "aralnorman/bike-demand-count-converted-into-categorical", "kernel_id": "968793"}, {"ref": "erickmuzart/machine-learning-brasilia-aula-11", "kernel_id": "1758085"}, {"ref": "dixitaditya/model-fitting", "kernel_id": "1685518"}, {"ref": "juleswang/kernele6b63bb04b", "kernel_id": "1521849"}, {"ref": "joaoavf/python-e-pandas-exercicio", "kernel_id": "1402982"}, {"ref": "panpluto/bike-demand-notebook", "kernel_id": "1153075"}, {"ref": "vivekray30/kernel5bd8a15df8", "kernel_id": "1302458"}, {"ref": "rchitic17/ten-million-bicycles", "kernel_id": "1318352"}, {"ref": "enisbt/cmpe-343-final-project", "kernel_id": "1003738"}, {"ref": "frkggm/rf2000-dummy-encoding-no-periodic-log-target", "kernel_id": "1819448"}, {"ref": "frkggm/rf2000-dummy-encoding-plots-periodic-log-t", "kernel_id": "1924993"}, {"ref": "nandobr/python-machine-learning-hands-on", "kernel_id": "1788208"}, {"ref": "alisapugacheva/proba", "kernel_id": "1904873"}, {"ref": "mvsandilya/bike-share-feature-selectn-engg-knn-rf-dt-adaboost", "kernel_id": "1240617"}, {"ref": "kwonsoonkyu/bike-sharing-demand", "kernel_id": "1062093"}, {"ref": "tomaszcpl/bike-sharing-demand", "kernel_id": "1471314"}, {"ref": "cidfelipe/iesb-hands-on-machine-learning-aula-04", "kernel_id": "1527497"}, {"ref": "satyamkr1729/bike-sharing-demand", "kernel_id": "1139515"}, {"ref": "fkstepz/step-by-step-predict-bike-sharing-demand", "kernel_id": "1237935"}, {"ref": "srisudheera/bike-sharing-demand", "kernel_id": "1303732"}, {"ref": "rajmehra03/bike-sharing-demand-rmsle-0-3194", "kernel_id": "1224345"}, {"ref": "qqplot/regression-in-r", "kernel_id": "1209108"}, {"ref": "satyachaurasia/bike-supply-demand-using-gbr", "kernel_id": "1172875"}, {"ref": "xhiddu/predicting-bike-demand", "kernel_id": "1264566"}, {"ref": "werikrafael/iesb-python-e-pandas-aula-01-3b5a93", "kernel_id": "1929891"}, {"ref": "werikrafael/iesb-python-e-pandas-aula-02-d2a4e5", "kernel_id": "1982340"}, {"ref": "haripriyatv/bike-sharing-demand-analysis-and-prediction", "kernel_id": "1472423"}, {"ref": "rhkdtjqql/bike-demand-rf", "kernel_id": "2131147"}, {"ref": "rhkdtjqql/bike-demand-eda", "kernel_id": "2130924"}, {"ref": "jbfields/discover-profiles-to-predict", "kernel_id": "2133027"}, {"ref": "psevkin/randomforestregressioncount", "kernel_id": "2394128"}, {"ref": "philipg/multiple-linear-regression-rmsle-1-22", "kernel_id": "2639419"}, {"ref": "yekang/20181126-bike-sharing-demand", "kernel_id": "2200461"}, {"ref": "roshanchoudhary/bike-sharing-in-r-programming", "kernel_id": "2128073"}, {"ref": "roydatascience/bike-share-demand-model-version-1-0", "kernel_id": "2183564"}, {"ref": "kwonyoung234/practice-bike-sharing-demand", "kernel_id": "2177542"}, {"ref": "kwonyoung234/for-beginner", "kernel_id": "2509913"}, {"ref": "sungdoo/i-want-to-ride-my-bicycle", "kernel_id": "2200876"}, {"ref": "werikrafael/iesb-python-e-pandas-aula-06", "kernel_id": "2208154"}, {"ref": "dbejaranoch/lr-nn-r-forests-xgboosting-and-ensemble-gb", "kernel_id": "2250280"}, {"ref": "mitulshah97/bike-pricing", "kernel_id": "2392893"}, {"ref": "tangyubin/kaggle-bike-linear", "kernel_id": "2899979"}, {"ref": "tangyubin/kaggle-bike", "kernel_id": "2874959"}, {"ref": "hajekim/for-beginner", "kernel_id": "2719857"}, {"ref": "hajekim/bike-sharing-demand-20190124-ds-school", "kernel_id": "2719562"}, {"ref": "manoxis/python-e-pandas-aula-04", "kernel_id": "2086241"}, {"ref": "manoxis/iesb-python-e-pandas-aula-05", "kernel_id": "2146232"}, {"ref": "a11112/xgbregressor", "kernel_id": "2249778"}, {"ref": "preecee/bike-sharing-eda-and-ensemble-modelling", "kernel_id": "2326822"}, {"ref": "helenshka/eda-and-first-machine-lea", "kernel_id": "2751002"}, {"ref": "gleicilene304/python-e-pandas-aula-04-967962", "kernel_id": "2086774"}, {"ref": "gleicilene304/iesb-python-e-pandas-aula-05-22f949", "kernel_id": "2146515"}, {"ref": "anisio/iesb-python-e-pandas-aula-05-01d396", "kernel_id": "2146505"}, {"ref": "anisio/iesb-python-e-pandas-aula-06", "kernel_id": "2208110"}, {"ref": "jeffdouglas/iesb-python-e-pandas-aula-01", "kernel_id": "2924806"}, {"ref": "jeffdouglas/iesb-python-e-pandas-aula-02", "kernel_id": "2924812"}, {"ref": "jeffdouglas/python-e-pandas-aula-03", "kernel_id": "2924815"}, {"ref": "jeffdouglas/python-e-pandas-aula-04", "kernel_id": "2924818"}, {"ref": "jeffdouglas/iesb-python-e-pandas-aula-05", "kernel_id": "2924839"}, {"ref": "jeffdouglas/iesb-python-e-pandas-aula-06", "kernel_id": "2924843"}, {"ref": "kyerim/my-bike-sharing-demand", "kernel_id": "2162411"}, {"ref": "wil2210/kernel25341627e3", "kernel_id": "2774616"}, {"ref": "fredkron/eda-ml-on-bike-sharing", "kernel_id": "2165156"}, {"ref": "shraban020/bike-sharing-visualization-begineer", "kernel_id": "2042993"}, {"ref": "latafa/logy-n-estimators", "kernel_id": "2475348"}, {"ref": "niteshiitr/bike-rental-prediction", "kernel_id": "3244846"}, {"ref": "aashita/exercise-3", "kernel_id": "3563699"}, {"ref": "philipg/random-forest-rmsle-53", "kernel_id": "3400001"}, {"ref": "amelnozieres/random-forest", "kernel_id": "3389369"}, {"ref": "amelnozieres/eda-and-visualizations-on-bike-rentals", "kernel_id": "3335717"}, {"ref": "amelnozieres/bike-sharing-demand-rmsle-0-3194", "kernel_id": "3526020"}, {"ref": "codefire52/kernel6f14be36b6", "kernel_id": "3652538"}, {"ref": "rdewes/bike2", "kernel_id": "3674585"}, {"ref": "yumamin/kernel24e697f513", "kernel_id": "3373681"}, {"ref": "wdiego/iesb-miner-ii-aula-03-random-forest", "kernel_id": "3750732"}, {"ref": "wdiego/2019-05-07-iesb-miner-ii-aula-04", "kernel_id": "3826254"}, {"ref": "anushonkar/bike-sharing-demand-with-python", "kernel_id": "3347217"}, {"ref": "yairhadad1/bike-sharing-predict", "kernel_id": "3881574"}, {"ref": "aman9d/bikesharingdemand-upx", "kernel_id": "3215322"}, {"ref": "hyejinwoo/kernel958612ef1e", "kernel_id": "3766421"}, {"ref": "qooqoo/bike-with-randomforestregressor", "kernel_id": "3462856"}, {"ref": "kyungsupgo/new-software-teamproject", "kernel_id": "3766395"}, {"ref": "kyungsupgo/total", "kernel_id": "3787091"}, {"ref": "rotemshalev/bike-sharing-challenge", "kernel_id": "3930917"}, {"ref": "dang7323/kernel9168eaf82b", "kernel_id": "3129197"}, {"ref": "aakasharora7/bike-sharing-demand-random-forest-regressor", "kernel_id": "3649083"}, {"ref": "junheo/random-forest-by-jun-bike-sharing-demand", "kernel_id": "3012493"}, {"ref": "sidiclei/aula03-ml-2-aluguel-bike-random-forest", "kernel_id": "3750726"}, {"ref": "sidiclei/aula02-ml-2-aluguel-bike-decision-tree", "kernel_id": "3674594"}, {"ref": "sidiclei/2019-05-07-iesb-miner-ii-aula-04", "kernel_id": "3826257"}, {"ref": "sidiclei/aula01-ml-2-aluguel-bike", "kernel_id": "3609573"}, {"ref": "jptavares/bike-sharing-machine-learning-ii", "kernel_id": "3609580"}, {"ref": "jorgelamar/iesb-miner-ii-aula-01", "kernel_id": "3609578"}, {"ref": "marcosfigueiredo/mineii-aula1-bike-1", "kernel_id": "3609590"}, {"ref": "benediktka/60-score-with-model-stacking", "kernel_id": "3237370"}, {"ref": "lampubhutia/bike-sharing-demand-linearregression", "kernel_id": "3334442"}, {"ref": "zc944376823/bike-sharing-demand-rmsle-0-3194", "kernel_id": "3140910"}, {"ref": "jbeen2/190328-bike-sharing", "kernel_id": "3408912"}, {"ref": "thdgusdl123/kernel442c80b898", "kernel_id": "3915970"}, {"ref": "draco67p/kernela527e77e5b", "kernel_id": "3475398"}, {"ref": "partrita/kernel4120302450", "kernel_id": "4193195"}, {"ref": "arturarczi/bike-sharing-demand", "kernel_id": "4395306"}, {"ref": "yuping1624/kernel8658d3b2fd", "kernel_id": "4904664"}, {"ref": "agboli/kernelaf40322004", "kernel_id": "4279301"}, {"ref": "fatmakursun/bike-sharing-feature-engineering", "kernel_id": "4392459"}, {"ref": "ratinkumar/kernel55254c8bee", "kernel_id": "4178081"}, {"ref": "pandiyarajan/predicting-bike-sharing-demand", "kernel_id": "4428063"}, {"ref": "xinyouren1995/midterm-for-ppt", "kernel_id": "4205919"}, {"ref": "xinyouren1995/log-count", "kernel_id": "4210118"}, {"ref": "dpamgautam/bike-sharing-regression-eda", "kernel_id": "4101942"}, {"ref": "terminate9298/bike-sharing-predictions-top-10-score-0-39", "kernel_id": "4823309"}, {"ref": "sjun4530/bike-sharing-demand", "kernel_id": "4748957"}, {"ref": "sjun4530/bike-sharing-demand-exercise", "kernel_id": "4837612"}, {"ref": "sjun4530/bike-sharing-demand-final", "kernel_id": "4946261"}, {"ref": "maryaam/bikesharing-demand-data-preparation-using-plotly", "kernel_id": "4905476"}, {"ref": "ohsaeyoon/bike-s-d-final-version-0-41919-400-450th-grade", "kernel_id": "4922994"}, {"ref": "suvinlee/bike-sharing-demand-note", "kernel_id": "4080034"}, {"ref": "suvinlee/kernel77d7dbc37e", "kernel_id": "4070829"}, {"ref": "drcapa/bike-sharing-regressor", "kernel_id": "4702749"}, {"ref": "minarabbit/regression-bike-sharing-demand", "kernel_id": "4239857"}, {"ref": "fadiatia/machinelearning", "kernel_id": "4159663"}, {"ref": "cheikhmbaye/resumeregressionlineaire", "kernel_id": "4159668"}, {"ref": "yadechi/kernel4c0bcda4c1", "kernel_id": "4170074"}, {"ref": "aabelentsov/linearregression-and-forest-model-regressions", "kernel_id": "4539573"}, {"ref": "abhikjha/fastai-pytorch-hooks-random-forest", "kernel_id": "5142317"}, {"ref": "liyapranay/eda-to-forecasting-keeping-it-simple", "kernel_id": "5752550"}, {"ref": "seahur/bicycle-attempt", "kernel_id": "5893705"}, {"ref": "obrunet/bike-sharing-demand", "kernel_id": "5571317"}, {"ref": "kongnyooong/bike-sharing-demand-for-korean-beginners", "kernel_id": "5710622"}, {"ref": "kennyinkaggle/bikesharingdemand", "kernel_id": "5594627"}, {"ref": "cuijamm/bike-sharing-demand-starter-code-score-0-37235", "kernel_id": "5943082"}, {"ref": "ejkim0121/bike-sharing", "kernel_id": "5890541"}, {"ref": "jiyoonkim/third", "kernel_id": "6108308"}, {"ref": "giuliocc/projeto-am", "kernel_id": "6898734"}, {"ref": "hanifansari93/bike-sharing-demand-eda-modeling", "kernel_id": "6062819"}, {"ref": "marcosvafg/iesb-miner-ii-aula-03-random-forest", "kernel_id": "6688090"}, {"ref": "rajspd/simple-implementation-votingandstacking-0-387", "kernel_id": "6678637"}, {"ref": "genpychan/kernel345e250a3c", "kernel_id": "6348345"}, {"ref": "gabrieltaranu/bike-sharing-demand-rf-and-gradient-boost", "kernel_id": "6795038"}, {"ref": "pereiramarcia/aula2-random-forest", "kernel_id": "6616254"}, {"ref": "drcapa/bike-sharing-demand-rnn", "kernel_id": "6420379"}, {"ref": "rodrigolopes/bike-sharing-ii", "kernel_id": "6616255"}, {"ref": "fgajlog/iesb-dm-e-ml-2-bike-demand-competition", "kernel_id": "6536533"}, {"ref": "clperin/cp-iesb-aula-02-arvore-de-decisao", "kernel_id": "6602010"}, {"ref": "swinalmeshram/bike-sharing", "kernel_id": "6575196"}, {"ref": "cihanbarut/keep-it-simple", "kernel_id": "6310620"}, {"ref": "onetwojab/bike-sharing-demand-kaggle-practice", "kernel_id": "6108853"}, {"ref": "atherx/iesb-aula-01-arvore-decisao", "kernel_id": "6523262"}, {"ref": "atherx/iesb-aula-02-random-forest", "kernel_id": "6602052"}, {"ref": "ahmadbarakt/bike-sharing-demand-r2-error-84", "kernel_id": "6359894"}, {"ref": "flordelais/aula3-random-forest", "kernel_id": "6702048"}, {"ref": "pedrokb/projetoam", "kernel_id": "6901265"}, {"ref": "yjdlucas/my-bike-sharing-demand", "kernel_id": "6806042"}, {"ref": "idolaspecus/submission", "kernel_id": "6769215"}, {"ref": "idolaspecus/random-forest", "kernel_id": "6908375"}, {"ref": "eduardooo/bike-renting-regression", "kernel_id": "6774944"}, {"ref": "hyunnie94/bike-sharing-demand-data-visualizing-mls", "kernel_id": "6937788"}, {"ref": "raddadda/2016603042", "kernel_id": "6958154"}, {"ref": "dhanyasabari/bike-sharing-demand", "kernel_id": "7704883"}, {"ref": "dhanyasabari/bike-sharing-gradient-boost", "kernel_id": "7873811"}, {"ref": "susree64/bike-sharing-predicting", "kernel_id": "7543704"}, {"ref": "micmarty/time-series-approach-with-lstm-in-progress", "kernel_id": "7023219"}, {"ref": "micmarty/regression", "kernel_id": "7067860"}, {"ref": "imdevskp/bike-sharing-prediction", "kernel_id": "7780721"}, {"ref": "zuzaanto/bike-sharing-demand-vol1", "kernel_id": "7566159"}, {"ref": "ankursingh12/pytorch-bike-sharing", "kernel_id": "7246946"}, {"ref": "chun1182/bike-shared-xgboost", "kernel_id": "7559061"}, {"ref": "adage14175/bike-notebook", "kernel_id": "7169533"}, {"ref": "hyeonyeong/time-segmentation-of-bike-sharing-demand-data", "kernel_id": "7923188"}, {"ref": "pranavrekhas/bike-sharing-demand", "kernel_id": "7984222"}, {"ref": "ghh8000/basic-regression", "kernel_id": "7854996"}, {"ref": "ghh8000/linear-regression", "kernel_id": "7686696"}, {"ref": "vedbharti/bike-sharing", "kernel_id": "7436819"}, {"ref": "nurilee37/bicycle", "kernel_id": "7581031"}, {"ref": "choijh9404/day1-bike-demand", "kernel_id": "7893268"}, {"ref": "cloudysky/ms-forecast-bike-sharing-demand", "kernel_id": "7033987"}, {"ref": "gguddu/bike-sharing-demand", "kernel_id": "7477887"}, {"ref": "laurencewilliams/bike-share-demand-prediction", "kernel_id": "7899025"}, {"ref": "alexschwartz/bike-sharing-dmnd-predict-48-score-32rmsle", "kernel_id": "7945399"}, {"ref": "dionysisvoulgarakis/bike-sharing-top-3-and-above-catboost", "kernel_id": "7256361"}, {"ref": "myzhai/bike-sharing-lasso-ridge-elasticnet-adaptivelasso", "kernel_id": "7357567"}, {"ref": "paipitation/kernel96421c0399", "kernel_id": "7365788"}, {"ref": "seunghyunlee96/bike-sharing-demand", "kernel_id": "7304408"}, {"ref": "shoishi1106/optuna-lightgbm-tuner", "kernel_id": "7673227"}, {"ref": "mwakuna/noob-forecast-of-bicycle-demand-in-korean", "kernel_id": "7896980"}, {"ref": "unfinishedgod/bike-sharing-demand-tidyverse-ggplot2-xgboost", "kernel_id": "8632030"}, {"ref": "unfinishedgod/bike-sharing-demand-tidyverse-ggplot2-xgboost-kor", "kernel_id": "8420288"}, {"ref": "pawanreddy/bike-sharing-demand-prediction", "kernel_id": "8161811"}, {"ref": "gustavomodelli/bike-model-xgboost-h2o", "kernel_id": "8140755"}, {"ref": "lachhebo/using-automl-library-prophet-to-obtain-predictions", "kernel_id": "8135174"}, {"ref": "nilsine11202/bike-prediction-mattias", "kernel_id": "8160976"}, {"ref": "neoscrypt/00-holiday-weather-gathering", "kernel_id": "8714556"}, {"ref": "neoscrypt/1-baseline-eda-only-consider-datetime", "kernel_id": "8714686"}, {"ref": "neoscrypt/2-baseline-ml-after-baseline-eda", "kernel_id": "8714724"}, {"ref": "neoscrypt/3-about-holiday-after-baseline-ml", "kernel_id": "8714768"}, {"ref": "gaurav98/bike-sharing-demand", "kernel_id": "8788356"}, {"ref": "shiva948/bike-sharing-systems", "kernel_id": "8543264"}, {"ref": "bicsuu/bike-sharing-studying-no3", "kernel_id": "8180964"}, {"ref": "rbud613/bike-demand", "kernel_id": "8664655"}, {"ref": "cr0l3y/bike-sharing-demand", "kernel_id": "8773142"}, {"ref": "michalwiese/neural-network-bikes", "kernel_id": "8516676"}, {"ref": "sourabhnarkarmsd/bike-sharing", "kernel_id": "8033740"}, {"ref": "sidagar/using-random-forest-and-xgboost", "kernel_id": "8791489"}, {"ref": "winston1214/bike-sharing-third-kaggle", "kernel_id": "8406412"}, {"ref": "dchak2020/random-forest-and-xgboost-rmsle-0-26", "kernel_id": "8137669"}, {"ref": "shinbg/bike-demand-easy-to-predict-use-randomforest", "kernel_id": "8477639"}, {"ref": "jyh0496/bike-demand-regressor-v2", "kernel_id": "8537954"}, {"ref": "mohitsital/top-10-bike-sharing-rf-gbm", "kernel_id": "9229801"}, {"ref": "ysjang0926/simple-eda-v0-1", "kernel_id": "9825028"}, {"ref": "smritisingh1997/bike-sharing", "kernel_id": "9243011"}, {"ref": "kk0105/bike-sharing-demand-top1", "kernel_id": "9072335"}, {"ref": "rutvikdeshpande/bike-sharing-demand", "kernel_id": "9662956"}, {"ref": "vijays92/bike-sharing-eda-with-hyperparameter-tuning", "kernel_id": "9747777"}, {"ref": "vijays92/bike-sharing-eda-and-randomforest-hyperparameter", "kernel_id": "9750453"}, {"ref": "lancengck/learning-journey-2-bike-sharing-demand", "kernel_id": "9669364"}, {"ref": "niharikaniharika/ensemble-learners", "kernel_id": "9616355"}, {"ref": "bartoszwyporkiewicz/eda-ml-model-0-2888-rmsle-in-validation-set", "kernel_id": "9085060"}, {"ref": "aleksandrkolbas/bike-sharing-demand-sgd-n-rand-forest", "kernel_id": "9556868"}, {"ref": "hyperbot/groshev-bike-sharing", "kernel_id": "9967330"}, {"ref": "munmun2004/bike-sharing-demand", "kernel_id": "9485463"}, {"ref": "polodolo/lite-bike-ml", "kernel_id": "9566598"}, {"ref": "shakirovagulnaz/bikesharingrandomforest", "kernel_id": "9929147"}, {"ref": "shakirovagulnaz/bike-sharing", "kernel_id": "9893812"}, {"ref": "rint1k/kernel284a668f7f", "kernel_id": "9845098"}, {"ref": "amirmardanov/kernel7b30b77250", "kernel_id": "9931288"}, {"ref": "jimgreenery/bikes", "kernel_id": "9928881"}, {"ref": "sukhyunkwon23/eda-gam-modeling-based-on-understanding-data", "kernel_id": "10647170"}, {"ref": "vithal2311/bike-sharing-demand-random-forest", "kernel_id": "10377780"}, {"ref": "vignesh1609/bike-sharing-eda-model-building", "kernel_id": "10102345"}, {"ref": "mertfacts/bike-sharing-eda-and-regmodels", "kernel_id": "10476363"}, {"ref": "vibeeshk/bike-sharing-demand-prediction", "kernel_id": "10352121"}, {"ref": "jinjaelee/bike-sharing-project-1", "kernel_id": "10569924"}, {"ref": "sidagar/well-commented-code-using-random-forest", "kernel_id": "10931352"}, {"ref": "junaidcharaniya/gbm-rf-xgb-knn-method", "kernel_id": "10243364"}, {"ref": "rithikb24/bike-gang", "kernel_id": "10114994"}, {"ref": "preejababu/bike-sharing-gradient-boost", "kernel_id": "10903918"}, {"ref": "preejababu/bike-sharing-demand", "kernel_id": "10903805"}, {"ref": "kumaran1992/bike-share-predictions-beginner", "kernel_id": "10989074"}, {"ref": "vishleshgodani/bike-sharing-demand", "kernel_id": "10968276"}, {"ref": "maksimbahdanchyk/simple-bike-solution-43", "kernel_id": "10288524"}, {"ref": "akshaymnaik/bike-sharing-demand-using-linear-regression", "kernel_id": "10877007"}, {"ref": "ywhenlyn/bike-sharing-demand", "kernel_id": "10647301"}, {"ref": "tom727/kernel1cbace2247", "kernel_id": "10644420"}, {"ref": "daisukeakiyama/kernela689cfc38a", "kernel_id": "10624076"}, {"ref": "amitsaini/bike-sharing-prediction-using-pca-and-xgboost", "kernel_id": "11653901"}, {"ref": "allanbian/bike-sharing-demand", "kernel_id": "11891574"}, {"ref": "marcosvafg/iesb-graduacao-cia028-bike-sharing", "kernel_id": "11867820"}, {"ref": "mindalatseoul/bike-sharing-demand-eda-modeling", "kernel_id": "11223909"}, {"ref": "benai9916/stacking-lr-knn-svr-dt-rf-lgbm-xgbr", "kernel_id": "11357395"}, {"ref": "prasadpatil99/low-code-automl-tutorial", "kernel_id": "11485352"}, {"ref": "dianaamiri/eda-for-bikesharing", "kernel_id": "11387261"}, {"ref": "kareem3egm/bike-sharing-demand-competition-solutions", "kernel_id": "11553827"}, {"ref": "ianhojy/bike-sharing-demand-prediction", "kernel_id": "11288717"}, {"ref": "jinameliachoi/tutorial-bike-sharing-demand-regression", "kernel_id": "11911117"}, {"ref": "johnryu/bike-and-idea-sharing-for-beginner", "kernel_id": "11015715"}, {"ref": "mayurgupta47/bike-rental-prediction-xgboost", "kernel_id": "11760346"}, {"ref": "thkim072/bike-sharing-demand", "kernel_id": "11378100"}, {"ref": "mohamadabouelela/bike-sharing-demand-beginner", "kernel_id": "11759545"}, {"ref": "deepakulkarni1234/bike-sharing-linear-regression", "kernel_id": "11181300"}, {"ref": "sehgalsakshi/notebookb2ce508d0c", "kernel_id": "11713576"}, {"ref": "shimmerlee13/bike-sharing-demand", "kernel_id": "11396468"}, {"ref": "nguyenhoangtuan/51704119-51704112", "kernel_id": "11559267"}, {"ref": "lynnshin/notebook701b18188b", "kernel_id": "11779926"}, {"ref": "satyads/how-not-to-interpret-a-partial-dependence-plot", "kernel_id": "12239765"}, {"ref": "shikhar2205/eda-ensemble-model-top-10-percentile", "kernel_id": "12149493"}, {"ref": "shikhar2205/notebook683ef14071", "kernel_id": "12058020"}, {"ref": "lashamaev/baseline3", "kernel_id": "12451868"}, {"ref": "anjumuk15/notebook75205afa22", "kernel_id": "12895778"}, {"ref": "shobhitbhargava/demand-prediction", "kernel_id": "12549839"}, {"ref": "writermong/notebook888ab264f1", "kernel_id": "12772648"}, {"ref": "sonalisingh978/bike-sharing-on-demand-gb-and-rf-rmse-0-3176", "kernel_id": "12404482"}, {"ref": "erengugu/bike-rent-visualization-eda", "kernel_id": "12174973"}, {"ref": "divya00/team-pa", "kernel_id": "12980177"}, {"ref": "abdullapathan/bike-sharing-demand-version-2-0", "kernel_id": "12889505"}, {"ref": "hyunlee52852/notebook888ab264f1", "kernel_id": "12774045"}, {"ref": "pillipyoun/notebookcb3229d390", "kernel_id": "13120846"}, {"ref": "li1127217ye/bikesharingdemand", "kernel_id": "13146410"}, {"ref": "rmramprasad/bike-sharing-analysis", "kernel_id": "13035652"}, {"ref": "qudgns/note-book-first-for-bikesharing", "kernel_id": "13190350"}, {"ref": "harshkhubchandani/2019mc21018-2019mc21039", "kernel_id": "13036893"}, {"ref": "marcosvafg/iesb-miner-ii-aula-02-arvore-de-decisao", "kernel_id": "13091785"}, {"ref": "suraj038/bike-sharing", "kernel_id": "13031532"}, {"ref": "ramasalahat/eda-linear-regression-ridge-k-nn-decision-tree", "kernel_id": "13409757"}, {"ref": "letmewin97/ensemble-methods-over-view-0-08-mse", "kernel_id": "13778213"}, {"ref": "sarthakniwate13/bike-sharing-demand-ml-model", "kernel_id": "13289075"}, {"ref": "adielsa/bike-sharing-prediction-score", "kernel_id": "13341840"}, {"ref": "kickitlikeshika/data-exploration-with-41", "kernel_id": "13240421"}, {"ref": "tosharathshetty/bike-sharing", "kernel_id": "13029218"}, {"ref": "abdullapathan/base-version", "kernel_id": "13003319"}, {"ref": "abdullapathan/bike-sharing-demand-version-1", "kernel_id": "13003838"}, {"ref": "yaminiharikrishnan/bike-sharing-demand", "kernel_id": "13730868"}, {"ref": "homayoonkhadivi/xgboost-model-for-bike-prediction", "kernel_id": "13343252"}, {"ref": "homayoonkhadivi/pca-techniques-xgboost-for-improving-the-bike", "kernel_id": "13355331"}, {"ref": "homayoonkhadivi/2-creative-deep-learning-models-bike-prediction", "kernel_id": "13808499"}, {"ref": "heonsoo/bike-sharing-demand-prediction-demo", "kernel_id": "13739350"}, {"ref": "viveknimsarkar/eda-on-shared-bike-demand-case", "kernel_id": "13074892"}, {"ref": "viveknimsarkar/visual-analysis-of-shared-bicycle-data", "kernel_id": "13143918"}, {"ref": "sobyoungjun/eda-ensemble-model-top-10-percentile", "kernel_id": "13036966"}, {"ref": "jeongwonkim10516/bike-sharing-demand", "kernel_id": "13282445"}, {"ref": "chananna/bikesharingdemand-fin", "kernel_id": "13103870"}, {"ref": "mos3santos/bike-sharing-demand", "kernel_id": "13105982"}, {"ref": "pareekdaksha/notebook", "kernel_id": "13037957"}, {"ref": "dawool1218/bike-sharing-210311-ml-p", "kernel_id": "13881787"}, {"ref": "satyads/anova-tukey-chi-square-bonferroni-pearson-lasso", "kernel_id": "14715905"}, {"ref": "lc4311/notebook14aecb7d07", "kernel_id": "14485004"}, {"ref": "dogdriip/bike-sharing-demand", "kernel_id": "14071625"}, {"ref": "werooring/bike-sharing-demand-basic-eda-for-everyone", "kernel_id": "14135170"}, {"ref": "werooring/bike-sharing-demand-top-6-6-solution", "kernel_id": "14143387"}, {"ref": "simoneassis/unb-gpp-lab1-python-pandas-exercicio", "kernel_id": "14775641"}, {"ref": "jackharding/bike-sharing-eda-random-forest", "kernel_id": "14342817"}, {"ref": "duydnn/bike-share-detail-explain-model-latest-ml-method", "kernel_id": "14358625"}, {"ref": "ishantkukreti/eda-model-selection", "kernel_id": "14446902"}, {"ref": "sofiacampos/python-e-pandas-exerc-cio", "kernel_id": "14998870"}, {"ref": "sungchi/bike-sharing-demand", "kernel_id": "15674287"}, {"ref": "ddondon/xgboost-bayes-opt-with-tidymodels-top-3-3", "kernel_id": "15834443"}, {"ref": "arturszczotarski/bike-rental-lgbm", "kernel_id": "15969905"}, {"ref": "seojeee/bike-sharing-demand-cheese", "kernel_id": "15805167"}, {"ref": "asttan/tan-astuty-acada-module6", "kernel_id": "15274418"}, {"ref": "spammama/bike-sharing-aaron-yi-mun", "kernel_id": "15251198"}, {"ref": "binuthomasphilip/lin-reg-bikes-ride-in-sharing-economy-9", "kernel_id": "15120626"}, {"ref": "binuthomasphilip/xgboost-with-bike-sharing-18", "kernel_id": "15343735"}, {"ref": "shimheungwoon/bike-sharing-demand", "kernel_id": "15688808"}, {"ref": "shinyasaito1231/notebook-saitoshinya-bike-sharing", "kernel_id": "15914906"}, {"ref": "akarshan97/bike-rental", "kernel_id": "16300041"}, {"ref": "sidagar/tutorial-with-bike-sharing-demand", "kernel_id": "16680332"}, {"ref": "joshthayne/notebookbb01f78dd2", "kernel_id": "16203157"}, {"ref": "kyuhwanjung2/bikesharingdemand-basic-week-3", "kernel_id": "16194189"}, {"ref": "keiintokyo/lr-model-0421", "kernel_id": "16362124"}, {"ref": "keiintokyo/ramdomforestregressor-0421", "kernel_id": "16362859"}, {"ref": "keiintokyo/decisiontree-0421", "kernel_id": "16363311"}, {"ref": "keiintokyo/firsttry-tree-reg", "kernel_id": "16218354"}, {"ref": "hobakjh/bike-sharing-demand2", "kernel_id": "16281276"}, {"ref": "prithviraj7387/bike-demand-sharing-eda", "kernel_id": "17178694"}, {"ref": "prithviraj7387/bike-sharing-prediction-pytorch", "kernel_id": "17283817"}, {"ref": "arunkumar13111/bike-sharing-eda-ridge-lasso-elasticnet-knn", "kernel_id": "17323004"}, {"ref": "nitinchoudhary012/bike-sharing-demand", "kernel_id": "17541557"}, {"ref": "hynsh96/bike-sharing-demand", "kernel_id": "17352037"}, {"ref": "smita09/count-of-bikes-rented", "kernel_id": "17316624"}, {"ref": "tatianakovalenko/xgbregressor", "kernel_id": "17318463"}, {"ref": "katyakubyshka/rgr-bikes", "kernel_id": "17346709"}, {"ref": "shalkumari30/bike-sharing-demand", "kernel_id": "17228281"}, {"ref": "junhyeok99/bike-sharing-demand-rf-model", "kernel_id": "17485797"}, {"ref": "teddylee777/01-initial-commit-bike-sharing", "kernel_id": "18617070"}, {"ref": "apoorvsingh090/bike-sharing-demand-score-0-47079", "kernel_id": "18352604"}, {"ref": "shahrukh0603/bike-sharing", "kernel_id": "18253485"}, {"ref": "hitesh13/bike-sharing-random-forest-0-42830", "kernel_id": "18407771"}, {"ref": "harrycheng5/bike-sharing-analytics", "kernel_id": "18570938"}, {"ref": "himahima/eda-for-bike-sharing", "kernel_id": "18255929"}, {"ref": "rushikeshdarge/bike-sharing-demand-hyperparameter-v2", "kernel_id": "18346290"}, {"ref": "vaishnavimuppala/bike-sharing-demand", "kernel_id": "18917297"}, {"ref": "arthurdwlau/bike-sharing-analysis-prediction", "kernel_id": "18894379"}, {"ref": "lfppfs/bike-sharing-competition", "kernel_id": "18701718"}, {"ref": "songyi0707/notebookbc2b6d4f1a", "kernel_id": "18489464"}, {"ref": "piotrbx/bikesharingdemand", "kernel_id": "18248929"}, {"ref": "fadyelkbeer/fork-of-notebook6cc54d85ab", "kernel_id": "18763620"}, {"ref": "magnogomes/unb-gpp-lab1-python-pandas-exercicio", "kernel_id": "18934201"}, {"ref": "stephanieholanda/unb-gpp-lab1-python-pandas-exercicio", "kernel_id": "18948480"}, {"ref": "sarahesham/bike-sharing-demand", "kernel_id": "19727165"}, {"ref": "pro1amr/bike-sharing", "kernel_id": "19561115"}, {"ref": "omarwael/bike-sharing-demand", "kernel_id": "19858141"}, {"ref": "mohamedsalah5369/assingnment", "kernel_id": "19213741"}, {"ref": "ahmedmagdy96/bike-sharing-demand", "kernel_id": "19565247"}, {"ref": "amalabdallah/bikesharing", "kernel_id": "19743488"}, {"ref": "mohamedmostafa335/bike-sharing-demand", "kernel_id": "19625444"}, {"ref": "rehameltagoury/bikesharingdemand", "kernel_id": "19022154"}, {"ref": "azizmousa/notebook0456c78a57", "kernel_id": "19672581"}, {"ref": "ahmedmabdelghani/bike-sharing-demand", "kernel_id": "19906338"}, {"ref": "mohamedsebaie/bike-notebook-kaggle-23-8-2021-0-38", "kernel_id": "19990518"}, {"ref": "hazemhosny/bike-sharing-demand", "kernel_id": "19873235"}, {"ref": "ahmedhagras/bike-sharing-demand", "kernel_id": "19887122"}, {"ref": "habibahafez/bike-sharing", "kernel_id": "19856917"}, {"ref": "mahmoudtaha3/notebookc36af73dbf", "kernel_id": "19855652"}, {"ref": "wookwook2/regression-practice1", "kernel_id": "19604388"}, {"ref": "tokaghaly/bike-task", "kernel_id": "19784258"}, {"ref": "ahmedabuaba/bike-sharing-demand", "kernel_id": "19173666"}, {"ref": "mkkim99/bike-sharing-demand-1", "kernel_id": "19470496"}, {"ref": "ahmedsheriif/bike-demand-share-get-started", "kernel_id": "19918977"}, {"ref": "muhammedmamdouhsalah/bike-sharing", "kernel_id": "19765542"}, {"ref": "amrkasem/bikes-final", "kernel_id": "19912864"}, {"ref": "suhaibalihassan/bike-sharing-demand", "kernel_id": "19522323"}, {"ref": "wssamhassan/bike-sharing-demand", "kernel_id": "19889792"}, {"ref": "choisugnwook/01-initial-commit-bike-sharing", "kernel_id": "19008010"}, {"ref": "mostafaemam0/bike-sharing-randomforrest", "kernel_id": "19276512"}, {"ref": "hebawaelr/final-bike-sharing-demand", "kernel_id": "19565979"}, {"ref": "mohammedabdulnaser/bike-sharing-mo", "kernel_id": "19707243"}, {"ref": "mohamedkamalali/bike-sharing-demand", "kernel_id": "19858772"}, {"ref": "tasneemmohamedsaad/bike-sharing-demand", "kernel_id": "19601829"}, {"ref": "mohammadjhanafy/bike-sharing-prediction", "kernel_id": "19853120"}, {"ref": "nayrouzhamdy/bike-demand-6", "kernel_id": "19751008"}, {"ref": "paulacunha/exerc-cio-1-paula-cunha", "kernel_id": "19044985"}, {"ref": "amiramosa99/bike-share-demand-1st-draft", "kernel_id": "19352648"}, {"ref": "mohamedalkasaby/b-s-d-solution", "kernel_id": "19799883"}, {"ref": "ayadayem/notebook317b95cfc1", "kernel_id": "19626112"}, {"ref": "goudaibrahim1/bikes-final", "kernel_id": "19919217"}, {"ref": "rajivmeena/bike-sharing-kaggle-project", "kernel_id": "19888060"}, {"ref": "jeandreamer/bike-sharing-prediction-mixed-effect-models", "kernel_id": "20294194"}, {"ref": "marcosvafg/iesb-cia035-aula-02-arvore-de-decisao", "kernel_id": "20070318"}, {"ref": "werooring/ch6-baseline", "kernel_id": "20484162"}, {"ref": "werooring/ch6-eda", "kernel_id": "20484434"}, {"ref": "werooring/ch6-modeling", "kernel_id": "20483668"}, {"ref": "amr1996/ahmed", "kernel_id": "20180421"}, {"ref": "aakashsinghrawat/bike-sharing-with-casual-registered-summed", "kernel_id": "20521818"}, {"ref": "aakashsinghrawat/bike-sharing", "kernel_id": "20282103"}, {"ref": "goen01/uos-aibasicapp-lec05ex2", "kernel_id": "20720062"}, {"ref": "mdrakibuzzaman/bikeriding-347", "kernel_id": "20239789"}, {"ref": "kowshirbitto/ml-eda-feature-engineering-models-grid-search", "kernel_id": "20267484"}, {"ref": "shoumanbaruashuvo/bike-sharing-2321", "kernel_id": "20265663"}, {"ref": "saimaaakhan/sharing-bike", "kernel_id": "20252566"}, {"ref": "aliderakhshesh/bike-sharing-a-simple-start-point", "kernel_id": "20632087"}, {"ref": "anikamim/bike-sharing-demand", "kernel_id": "20282340"}, {"ref": "sazidnur/bike-sharing-notebook", "kernel_id": "20282213"}, {"ref": "arminar/bike-sharing-demand-prediction", "kernel_id": "20276938"}, {"ref": "mdemran312/bike-sharing-using-pipeline-312", "kernel_id": "20265879"}, {"ref": "mhnaeem/bike-sharing", "kernel_id": "20244787"}, {"ref": "staeros/notebook911d83227f", "kernel_id": "20752013"}, {"ref": "hasnurjahan181352297/bike-sharing-using-pipeline", "kernel_id": "20256705"}, {"ref": "mdazharulislam/bike-sharing-logis-regress-stochasgd-rdge-lasso", "kernel_id": "20255873"}, {"ref": "wookwook2/bike-sharing-demand-gold", "kernel_id": "20549542"}, {"ref": "arpitadaschaity/bikesharingdemand2327", "kernel_id": "20260445"}, {"ref": "sumaiya66/bike-sharing-sumaiya", "kernel_id": "20238193"}, {"ref": "mimrahman/bike-sharing-lasso-sgd-lr-rdge-2292", "kernel_id": "20259536"}, {"ref": "rakhi181352416/bike-sharing", "kernel_id": "20257979"}, {"ref": "ibrahimyassen17/final-version-notebook-bike-sharing-catboost", "kernel_id": "20762448"}, {"ref": "amitchowdhury2475/bike-sharing-demand", "kernel_id": "20267269"}, {"ref": "ahmedsh95/notebooke97169b404", "kernel_id": "20180520"}, {"ref": "ahmeddmamdouhhh96/notebooke4bc3e8faf", "kernel_id": "20181811"}, {"ref": "sondosmohmed/sondos-bike-sharing", "kernel_id": "20180530"}, {"ref": "youssefwagih/bike-sharing-prediction", "kernel_id": "20183372"}, {"ref": "mahmoudabdelmohsen/bikerentals", "kernel_id": "20180657"}, {"ref": "mohabsolimaniti/notebook8c8c1384b6", "kernel_id": "20184841"}, {"ref": "sondosomar/bike-sharing-team", "kernel_id": "20622376"}, {"ref": "prantapaul181352448/bike-sharing", "kernel_id": "20264729"}, {"ref": "saliblue/bike-demand-multi-model", "kernel_id": "20324577"}, {"ref": "xxinruyang/bike-sharing-demand-prediction", "kernel_id": "21326302"}, {"ref": "hongtokki/eda-evaluate-bike-sharing", "kernel_id": "21873001"}, {"ref": "georgiosyfantidis/bike-demand-exp", "kernel_id": "21041824"}, {"ref": "goen01/uos-aibasicapp-07-ex2", "kernel_id": "21012353"}, {"ref": "kyuhwanjung2/bikesharingdemand-10-23", "kernel_id": "21440091"}, {"ref": "kyuhwanjung2/bikesharingdemand-10-20", "kernel_id": "21358586"}, {"ref": "kyuhwanjung2/bikesharingdemand", "kernel_id": "21337324"}, {"ref": "mattdeloia/mad-bikesharedemandreport", "kernel_id": "21853648"}, {"ref": "lucien2712/bike-sharing-demand-using-random-forest", "kernel_id": "21564147"}, {"ref": "yoshihiroim/bike-sharing-demand-practice", "kernel_id": "21933659"}, {"ref": "arjunharidaspallath/bike-prediction-ridgeregression-with-polynomial", "kernel_id": "21252595"}, {"ref": "seolryeongan/bike-sharing-demand-practice", "kernel_id": "21287773"}, {"ref": "kimjinyeon/notebookeb20a21193", "kernel_id": "21579694"}, {"ref": "kimjinyeon/211028-class03-bike-up", "kernel_id": "21581846"}, {"ref": "chaewonga/211028-class03-bike-up", "kernel_id": "21579675"}, {"ref": "yousefhamed/notebook9057aa3b99", "kernel_id": "21124981"}, {"ref": "choiuikang/kaggle-bike-sharing", "kernel_id": "21933079"}, {"ref": "blighpark/t2-6-bike-sharing-demand-regression", "kernel_id": "22332770"}, {"ref": "mynamesp/prediction-with-multiple-models-demo", "kernel_id": "22074561"}, {"ref": "heokw815/t2-6-bike-sharing-demand-regression-kh", "kernel_id": "22317309"}, {"ref": "werooring/ch6-notebook", "kernel_id": "22237410"}, {"ref": "ranjii/day2-task1-notebook", "kernel_id": "22782626"}, {"ref": "wltjd54/t2-6-bike-sharing-demand-regression", "kernel_id": "22321597"}, {"ref": "kefahaied/kefah-notebook-v1", "kernel_id": "22122903"}, {"ref": "henjoyy/t2-6-bike-sharing-demand-regression", "kernel_id": "22311349"}, {"ref": "hana00/r-t2-6-bike-sharing-demand", "kernel_id": "22509994"}, {"ref": "jeonghojae/py-t2-6-bike-sharing-demand-regression", "kernel_id": "22370783"}, {"ref": "hyojungshin/t2-6-bike-sharing-demand-regression", "kernel_id": "22329123"}, {"ref": "danaqueen/t2-6-bike-sharing-demand-regression", "kernel_id": "22438232"}, {"ref": "yongjoonchang/py-t2-6-bike-sharing-demand-regression", "kernel_id": "22329375"}, {"ref": "cdyn17/t2-6-bike-sharing-demand-regression-v2", "kernel_id": "22502799"}, {"ref": "cdyn17/t2-6-bike-sharing-demand-regression", "kernel_id": "22431439"}, {"ref": "yenaaa/t2-6-bike-sharing-demand-regression-yenaaa", "kernel_id": "22334658"}, {"ref": "yongwookkimkor/samplesubmission11135", "kernel_id": "22012396"}, {"ref": "lydiaryu/t2-6-bike-sharing-demand-regression", "kernel_id": "22318367"}, {"ref": "seholeee/t2-6-bike-sharing-demand-regression", "kernel_id": "22395911"}, {"ref": "moonssong/py-t2-6-bike-sharing-demand-regression", "kernel_id": "22326774"}, {"ref": "limmyoungjin/r-t2-6-bike-sharing-demand", "kernel_id": "22232281"}, {"ref": "iamhappyg/bike-sharing-demand-prediction", "kernel_id": "22086540"}, {"ref": "yamyam7/notebookba9a9bf747", "kernel_id": "22352661"}, {"ref": "hyodadak/r-t2-6-bike-sharing-demand", "kernel_id": "22331985"}, {"ref": "bangjaein/t2-6-bike-sharing-demand-regression", "kernel_id": "22331312"}, {"ref": "carolineecc/xg-boost-random-forest-ridge-lasso-regression", "kernel_id": "22550336"}, {"ref": "jogejung/t2-6-bike-sharing-demand-regression-joge", "kernel_id": "22237770"}, {"ref": "jogejung/py-t2-6-bike-sharing-demand-regression-2-joge", "kernel_id": "22377694"}, {"ref": "jeonginah/t2-6-bike-sharing-demand", "kernel_id": "22333197"}, {"ref": "therorange/bike-sharing-demand-rf-regressor", "kernel_id": "22161068"}, {"ref": "mindingkang97/t2-6-bike-sharing-demand-regression", "kernel_id": "22454834"}, {"ref": "rpeer333/bike-demand-prediction-with-catboost-and-autogluon", "kernel_id": "24157465"}, {"ref": "henriqueweber/bike-sharing-demand", "kernel_id": "24007834"}, {"ref": "deedeenyc/forecast-bike-sharing-demand", "kernel_id": "24861877"}, {"ref": "enesavci16/bike-sharing-feature-engineering", "kernel_id": "25606410"}, {"ref": "bernabas/eda-random-forest-model-bike-sharing-demand", "kernel_id": "25128948"}, {"ref": "inyeongkang/2022-smarcle-kaggle-study-bike-demand-kiy", "kernel_id": "25747677"}, {"ref": "mirhyun0508/bike-sharing-demand-only-data-analsis-and-eda", "kernel_id": "25663009"}, {"ref": "bell2psy/bike-sharing-practice", "kernel_id": "25222366"}, {"ref": "cwonseo/cws-bikesharing", "kernel_id": "25660568"}, {"ref": "alstn38/first-bike-notebook", "kernel_id": "25672059"}, {"ref": "teddylee777/bike-sharing-demand-day1", "kernel_id": "26417219"}, {"ref": "arjunharidaspallath/fork-of-bike-prediction-linearregression-w-6ee4c9", "kernel_id": "26050718"}, {"ref": "bishalaryanthakur/bike-sharing-demand", "kernel_id": "26345710"}, {"ref": "goyofrommind/bike-sharing-practice", "kernel_id": "26788854"}, {"ref": "jayahn0104/tutorial-multi-output-regression-skorch-tune", "kernel_id": "27096732"}, {"ref": "haleyj/220615-bike-share-demand-notebook5da2fa3f3a", "kernel_id": "27955473"}, {"ref": "ram257/eda-for-bike-sharing-data", "kernel_id": "27557437"}, {"ref": "shuledelizi/shuledelizi", "kernel_id": "27929753"}, {"ref": "kyuhwanjung2/bikesharing0513", "kernel_id": "27020912"}, {"ref": "enesavci16/bike-sharing-demand-with-ann", "kernel_id": "27036624"}, {"ref": "heesukim123/2206-bikesharing", "kernel_id": "27920075"}, {"ref": "tingjiaxu/bike-sharing-demand-with-lgbm", "kernel_id": "27495700"}, {"ref": "yeazhou/dm-2022spring-final", "kernel_id": "27519982"}, {"ref": "mahtabezzati/bike-sharing-demand-random-forest", "kernel_id": "27369539"}, {"ref": "mrdheer/detail-guide-to-bike-sharing-trend", "kernel_id": "27828572"}, {"ref": "bobby2014king/bike-sharing-demand-byc", "kernel_id": "27381373"}, {"ref": "muyanglyu/bike-sharing-demand", "kernel_id": "27478499"}, {"ref": "xiaoqin0421/bike-sharing-demand", "kernel_id": "27392823"}, {"ref": "zegveld/study-case-six-algorithm-in-machine-learning", "kernel_id": "27359441"}, {"ref": "greatsong21/ch6-s-notebook", "kernel_id": "28886526"}, {"ref": "rsesha/bike-sharing-score-0-416-in-10-lines", "kernel_id": "28357978"}, {"ref": "mfakouri/eda-bikesharingdemand", "kernel_id": "28312241"}, {"ref": "mfakouri/predictionmodel-bikesharingdemand", "kernel_id": "28310975"}, {"ref": "mahmoudreda55/bike-sharing", "kernel_id": "28854064"}, {"ref": "anniekim0714/kaggle-2nd", "kernel_id": "28763623"}, {"ref": "juyoungwang/tensorflow-deepar-implementation", "kernel_id": "28134019"}, {"ref": "nolenja/bike-sharing-demand-using-python", "kernel_id": "28838680"}, {"ref": "gaocangjun/bike-sharing-demand", "kernel_id": "28450475"}, {"ref": "hcrbgod/easy-random-forest-score-0-43-chn", "kernel_id": "28661062"}, {"ref": "cocoyachi/bike-sharing-demand-cocoyachi", "kernel_id": "28816367"}, {"ref": "moonssong/bike-sharing-demand-must-have-chapter-6", "kernel_id": "28919006"}, {"ref": "maquej/bike-sharing-demand0714", "kernel_id": "28748420"}, {"ref": "hyungjucha/bike-sharing-demand-prediction", "kernel_id": "28625537"}, {"ref": "ashioyajotham/preprocessing-using-datetime", "kernel_id": "28540062"}, {"ref": "skogart/bike-sharing-demand", "kernel_id": "28380373"}, {"ref": "neilivy/bike-sharing-demand-zlt", "kernel_id": "28734919"}, {"ref": "ccccyyyyf/bike-sharing-demand-predict-cyf", "kernel_id": "28636745"}, {"ref": "gaunnyeong/notebook0715", "kernel_id": "28772914"}, {"ref": "hwangmuseong/bike-sharing-demand-practice-for-aiffel", "kernel_id": "28738169"}, {"ref": "haiyanglu/bike-sharing-demand-random-forest", "kernel_id": "28801727"}, {"ref": "abdo977/bike-sharing-notebook", "kernel_id": "28261044"}, {"ref": "txy001/notebook9dc2aafd69", "kernel_id": "28743786"}, {"ref": "shenyao514/bike-sharing-demand", "kernel_id": "28230142"}, {"ref": "wjr666/bike-sharing-demand", "kernel_id": "28204997"}, {"ref": "lwb0821/bike-sharing-demand", "kernel_id": "28616744"}, {"ref": "circlingb/bike-sharing-demand-randomforest-ver", "kernel_id": "28397838"}, {"ref": "circlingb/bike-sharing-demand-ann-ver", "kernel_id": "28395817"}, {"ref": "lyh019/notebookd21d3d3a1b", "kernel_id": "28373996"}, {"ref": "ldzyyg/bikeldzyyg", "kernel_id": "28798887"}, {"ref": "qichenxing/bike-sharing-demand-qcx", "kernel_id": "28373379"}, {"ref": "edutechalexlee/must-have-ch-6", "kernel_id": "28843028"}, {"ref": "nanniwhn/bike-sharing-demand-whn", "kernel_id": "28767228"}, {"ref": "manhhungchu/eda-of-bike-sharing-dataset", "kernel_id": "28123337"}, {"ref": "zeffiroso/bike-sharing-demand-final", "kernel_id": "28634827"}, {"ref": "jungsangpil/bike-second", "kernel_id": "28631244"}, {"ref": "kimsunhyung/0711-sonham-test", "kernel_id": "28625517"}, {"ref": "joungminkyung/bike-submit", "kernel_id": "28735600"}, {"ref": "bnulchang/bike-sharing-demand", "kernel_id": "28655981"}, {"ref": "pytnon/fork-of-kaggle-0712", "kernel_id": "28733631"}, {"ref": "dreamwalker2022/ch6-notebook", "kernel_id": "28988761"}, {"ref": "actafool/ch6-notebook-js", "kernel_id": "28990627"}, {"ref": "jungyoon2/ch6-notebook-jy", "kernel_id": "28844033"}, {"ref": "isqiqiya2/test07-13", "kernel_id": "28699080"}, {"ref": "greatsong21/220725", "kernel_id": "29063205"}, {"ref": "teddylee777/day1-machine-learning", "kernel_id": "29869487"}, {"ref": "mahmoudhamza/aws-mlnd", "kernel_id": "29403681"}, {"ref": "werooring/lecture-ch6-eda", "kernel_id": "29204152"}, {"ref": "werooring/lecture-ch6-modeling", "kernel_id": "29214117"}, {"ref": "werooring/lecture-ch6-baseline", "kernel_id": "29213388"}, {"ref": "kyuhwanjung2/bikesharingdemand-2022-abl", "kernel_id": "29497095"}, {"ref": "bnuleonardo/notebook-cm-bikesharingdemand", "kernel_id": "29056953"}, {"ref": "yuujinleee/ch6-bike-sharing-demand-eda", "kernel_id": "29349255"}, {"ref": "geonukimdd/practice", "kernel_id": "29333306"}, {"ref": "haeuns/ch6-notebook-dalsoo", "kernel_id": "29041877"}, {"ref": "ssuwwon/7-23-week2-chapter6-4", "kernel_id": "29022424"}, {"ref": "hyennykim/ch6-notebook-hyenny-revised", "kernel_id": "29020635"}, {"ref": "jeongkyulim/r-t2-6-bike-sharing-demand", "kernel_id": "29019149"}, {"ref": "kemalfarukbaaran/bikesharing", "kernel_id": "29767364"}, {"ref": "woohyeokkang/bike-sharing-demand", "kernel_id": "29011730"}, {"ref": "baik09/cd6-modeling-test-code-final", "kernel_id": "29890520"}, {"ref": "shplee/220723-musthave-ch6-randomforest", "kernel_id": "29020584"}, {"ref": "hundong2/bike-sharing-demand-hundong2", "kernel_id": "29058193"}, {"ref": "gabrielyangk/bike-data-demands-visualization-seaborn-plotly", "kernel_id": "29910560"}, {"ref": "luging/luging-ch6-0725-28", "kernel_id": "29142916"}, {"ref": "luging/luging-ch6-0729", "kernel_id": "29153392"}, {"ref": "luging/luging-ch6-0723-24", "kernel_id": "29036406"}, {"ref": "cooljmlee/ch6-baseline", "kernel_id": "29181293"}, {"ref": "cooljmlee/ch6-modeling", "kernel_id": "29199820"}, {"ref": "cooljmlee/ch6-eda", "kernel_id": "29068348"}, {"ref": "cooljmlee/chapter6", "kernel_id": "29068363"}, {"ref": "cooljmlee/220725", "kernel_id": "29064478"}, {"ref": "cooljmlee/ch6-baseline-79592e", "kernel_id": "29735303"}, {"ref": "hannnah2/ch6-notebook", "kernel_id": "29020045"}, {"ref": "gaejabong/bike-sharing-demand", "kernel_id": "29043750"}, {"ref": "gaejabong/bike-sharing-demand-xgboost", "kernel_id": "29121214"}, {"ref": "mohamedmustafa/1-bikes-demand-prediction", "kernel_id": "30723728"}, {"ref": "yeonseokcho/bike-sharing-demand-regression", "kernel_id": "30112866"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "mayurnaktode/bike-sharing-demand-analysis-and-demand-prediction", "kernel_id": "30563227"}, {"ref": "shindm/notebook36a3c7ad3e", "kernel_id": "30377461"}, {"ref": "kbs130302/bike-sharing-demand", "kernel_id": "30192472"}, {"ref": "kbs130302/bike-sharing-demand-final", "kernel_id": "30280187"}, {"ref": "jaesungyu/notebook984f8faf9f", "kernel_id": "30192679"}, {"ref": "kimdohyung111/notebookd4d06046db", "kernel_id": "30377322"}, {"ref": "kouppm/notebook54d90a7cd2", "kernel_id": "30377324"}, {"ref": "qet0826/18011736-ds-solution-ch6-oops", "kernel_id": "30974263"}, {"ref": "xiefei/07-bike-sharing-demand", "kernel_id": "31616317"}, {"ref": "owenpb/bike-sharing-demand-rmsle-0-38724-top-5-w-xgb", "kernel_id": "31516003"}, {"ref": "matthew624/18011737-ds-special-ch6-assignmet", "kernel_id": "31125093"}, {"ref": "wildwildeast/acada6-group-4-ryan-siwei-lanfong", "kernel_id": "31896661"}, {"ref": "binhuang2010/acada6-sample", "kernel_id": "31842672"}, {"ref": "pragatwagle/bike-sharing-demand-challenge-pragat", "kernel_id": "31363636"}, {"ref": "goen01/uos-aiba-2202-1021-bike", "kernel_id": "31522440"}, {"ref": "arisontdu/bike-sharing", "kernel_id": "31642342"}, {"ref": "johnnytay/acada-team-6-bikeshare", "kernel_id": "31897090"}, {"ref": "mattyaryokutya/notebooke094df507f", "kernel_id": "31814262"}, {"ref": "komal21ma/bike-rental-with-multiple-regression-model", "kernel_id": "31039753"}, {"ref": "shimizukaishi/bike-sharing-analysis", "kernel_id": "31385493"}, {"ref": "shimizukaishi/bike-sharing-dl", "kernel_id": "31616752"}, {"ref": "kiranshidruk/bikesharing-using-regression-models", "kernel_id": "31507212"}, {"ref": "kiranshidruk/bikesharing-using-multiple-regression-models", "kernel_id": "31555679"}, {"ref": "skillupsf/notebook-bikesharingdemand", "kernel_id": "31459886"}, {"ref": "fabe331/bike-sharing-using-lightgbm", "kernel_id": "31314209"}, {"ref": "heraboby/random-forest", "kernel_id": "31757622"}, {"ref": "francisneo/notebookf14c8416fd", "kernel_id": "31990701"}, {"ref": "wonheeejeong/bike-sharing-demand-wonhee", "kernel_id": "31930933"}, {"ref": "tsadigov/bike-sharing-predictions-in-tidymodels", "kernel_id": "32046157"}, {"ref": "agileteam/t2-6-bike-regressor", "kernel_id": "32830679"}, {"ref": "jeonghyunha/chapter-6-bike-sharing-demand", "kernel_id": "32549157"}, {"ref": "tanya1902/bike-rental", "kernel_id": "32101014"}, {"ref": "yujeongshin18/ch-6-bike-sharing-demand", "kernel_id": "32601739"}, {"ref": "hayoung021/ch6-bike-sharing-demand", "kernel_id": "32503778"}, {"ref": "koshionda/bike-sharing-demand-randomforestregressor-result", "kernel_id": "32087092"}, {"ref": "sumitdewang/sumit-dewang-bike-sharing-rental-demand", "kernel_id": "32757283"}, {"ref": "marimochi/usingpytorchlstm", "kernel_id": "32030630"}, {"ref": "sungholim2210/bike-regression", "kernel_id": "32190270"}, {"ref": "niravnaik/bike-sharing-demand-ml-decisiontreeregressor", "kernel_id": "32492876"}, {"ref": "atharvakadam333/bike-sharing-demand-using-decisiontressregressor", "kernel_id": "32505124"}, {"ref": "atharvakadam333/bike-sharing-demand-using-voting", "kernel_id": "32506248"}, {"ref": "atharvakadam333/bike-sharing-demand-using-randomforestregressor", "kernel_id": "32505886"}, {"ref": "akashauti/r2-score-for-bike-sharing-comp", "kernel_id": "32524925"}, {"ref": "yamaguchishunya/pred-randomforest", "kernel_id": "32023874"}, {"ref": "takashu29/production-bike-sharing-demand", "kernel_id": "32110750"}, {"ref": "yimstar9/r-t2-6-bike-sharing-demand", "kernel_id": "32548773"}, {"ref": "beforeby/ch6-eda", "kernel_id": "32617180"}, {"ref": "janghyojune/bs-demand-visualization", "kernel_id": "32559822"}, {"ref": "janghyojune/bs-demand-model", "kernel_id": "32831950"}, {"ref": "yoooooonseo/ch6-bike-sharing-demand", "kernel_id": "32613249"}, {"ref": "aoyamachan/notebook2e008c1c5d", "kernel_id": "32801110"}, {"ref": "sangtaikim/sangtai-bike-sharing-demand-test", "kernel_id": "33223786"}, {"ref": "hieyong0302/bikesharingdemand-jeong", "kernel_id": "33758969"}, {"ref": "kaushalkrishna2000/bike-sharing-demand", "kernel_id": "33754098"}, {"ref": "leevs5/bike-sharing-demand", "kernel_id": "33368476"}, {"ref": "ahmadmuhammadali/bike-sharing-demand-notebook", "kernel_id": "33875279"}, {"ref": "hongseoi/bike-sharing-eda-linear-regression", "kernel_id": "33898769"}, {"ref": "edwardpaologuevarra/bikeshare-regression-r", "kernel_id": "33544226"}, {"ref": "kuogongzi/bike-sharing-demand", "kernel_id": "33546327"}, {"ref": "gsaldy/bikesharingdemand-206290ldy", "kernel_id": "33768494"}, {"ref": "guosue/top-1-bike-sharing-detailed-eda-xgboost", "kernel_id": "34083187"}, {"ref": "mostafasobhy/ml-bike", "kernel_id": "34729863"}, {"ref": "kagleo123/bike-sharing-eda-regression-model-predict", "kernel_id": "34640907"}, {"ref": "youngilha/baseline-model", "kernel_id": "34358257"}, {"ref": "youngilha/advanced-modeling", "kernel_id": "34511667"}, {"ref": "seojinpark2001/eda-ensemble-model-seojin", "kernel_id": "34653065"}, {"ref": "polljjaks/bike-sharing-demand-eda-baseline-model", "kernel_id": "34734106"}, {"ref": "cjhnamespace/49-3243-bikesharing-lightgbm-xgboost", "kernel_id": "34525478"}, {"ref": "lnoahl/bike-sharing-demand-eda", "kernel_id": "34334533"}, {"ref": "lnoahl/bike-sharing-demand-machine", "kernel_id": "34709762"}, {"ref": "chaihailun/bike-predictor-neu", "kernel_id": "34649044"}, {"ref": "kimtaehun/ml-deployment-evaluate-and-monitor-data-drift", "kernel_id": "35662057"}, {"ref": "chienhoulu/predict-bike-demand", "kernel_id": "35221383"}, {"ref": "osaad97/bike-sharing-regression-using-rndf-and-gboost", "kernel_id": "35821251"}, {"ref": "alyaamoh/bike-sharing", "kernel_id": "35784706"}, {"ref": "park4264/bike-prediction-model", "kernel_id": "35763188"}, {"ref": "park4264/bike-prediction-eda", "kernel_id": "35726797"}, {"ref": "osamayassen/bikeshare-prediction", "kernel_id": "35825043"}, {"ref": "chloe912/bike-sharing-demand-analysis-model", "kernel_id": "35995302"}, {"ref": "mohamedtarek94/eda-ensemble-model-top-10-percentile", "kernel_id": "35581127"}, {"ref": "omarhany97/omar-hany-bike-sharing-demand", "kernel_id": "35714156"}, {"ref": "sandramoses/beeb-beeb", "kernel_id": "35747179"}, {"ref": "cjywish/bike-sharing-demand-and-xgboost", "kernel_id": "36310252"}, {"ref": "toedtlifhsg/bike-sharing-demand-analysis-model", "kernel_id": "36205166"}, {"ref": "gauri1996/eda-bikesharingdemand", "kernel_id": "36550013"}, {"ref": "kyuhwanjung2/bikesharingdemand-2023", "kernel_id": "36873831"}, {"ref": "imsunju/bikesharing-project", "kernel_id": "36052108"}, {"ref": "woohyeokkang/ch6-bike-sharing-demand-eda", "kernel_id": "36890316"}, {"ref": "mostafasobhy/bike-prediction-eda", "kernel_id": "36317254"}, {"ref": "actafool/js-chapter5-eda", "kernel_id": "36890529"}, {"ref": "polljjaks/study-bikesharing-eda", "kernel_id": "36931213"}, {"ref": "praveenmadhiyazhagan/bike-sharing-demand-237325", "kernel_id": "36610767"}, {"ref": "sridhar2000/notebooke8820ab861", "kernel_id": "36568592"}, {"ref": "teacherkiwi/ch6-bike-sharing-demand-eda", "kernel_id": "36931980"}, {"ref": "junbokoh/ch6-bikesharing-ridi-modeling", "kernel_id": "37315094"}, {"ref": "junbokoh/ch6-eda-ridi", "kernel_id": "37024504"}, {"ref": "woohyeokkang/ch6-bike-sharing-demand-modeling", "kernel_id": "37164805"}, {"ref": "woohyeokkang/ch6-bike-sharing-demand-modeling-2", "kernel_id": "37285208"}, {"ref": "actafool/js-chapter5-modeling", "kernel_id": "37311581"}, {"ref": "luging/luging-ch6-230416", "kernel_id": "37316610"}, {"ref": "luging/luging-ch6-230407", "kernel_id": "37001065"}, {"ref": "deekayyyyyyy/ch6-bike-sharing-demand-modeling-david1", "kernel_id": "37323521"}, {"ref": "deekayyyyyyy/ch6-eda-david1", "kernel_id": "37036118"}, {"ref": "omarkhd99/bike-sharing-demand", "kernel_id": "37802537"}, {"ref": "polljjaks/4-study-bikesharing-basemodel", "kernel_id": "37320236"}, {"ref": "polljjaks/7-study-bikesharing-basemodel", "kernel_id": "37352940"}, {"ref": "yunsub/bicycle-gradient-boosting", "kernel_id": "38738470"}, {"ref": "yongchanshin/bike-sharing-demand-random-forecast", "kernel_id": "38876774"}, {"ref": "sangbeompark999/bike-sharing-demand-rmsle-0-3194", "kernel_id": "38578465"}, {"ref": "basilechevalier/basile-projet-personnel-bike-sharing-demand", "kernel_id": "38473628"}, {"ref": "sehyun1/bike-sharing-demand-book-edition", "kernel_id": "38514404"}, {"ref": "sehyun1/baseline-bike-sharing-demand", "kernel_id": "38770786"}, {"ref": "sehyun1/improvement-ridge-lasso-random-forest", "kernel_id": "38773444"}, {"ref": "sudaltokki/linear-regression", "kernel_id": "38635186"}, {"ref": "arthrow/notebook933c2ab8d3", "kernel_id": "39072729"}, {"ref": "mexwell/bike-sharing-demand-detailed-eda-periodic-feat", "kernel_id": "39119690"}, {"ref": "abdullahmahmod/bike-sharing-regression", "kernel_id": "39864877"}, {"ref": "petersonsantos/bike-sharing-demand", "kernel_id": "39180134"}, {"ref": "maskmwlnyk32/melnykmaksym", "kernel_id": "39881865"}, {"ref": "seodonggan/notebook", "kernel_id": "39210728"}, {"ref": "noam24/evaluate-and-visualize-historical-data-drift", "kernel_id": "39237623"}, {"ref": "sudaltokki/ridge-regression", "kernel_id": "39006968"}, {"ref": "sudaltokki/lasso-regression", "kernel_id": "39014378"}, {"ref": "sudaltokki/random-forest-regression", "kernel_id": "39015697"}, {"ref": "omarmohamed8/predict-bike-rental-count-explorations-insights", "kernel_id": "40998507"}, {"ref": "beomsulee/bike-sharing-demand-using-random-forest", "kernel_id": "40942565"}, {"ref": "kkokkoduck/bikesharing", "kernel_id": "40179083"}, {"ref": "yongok/t2-6-bike-regressor", "kernel_id": "40017916"}, {"ref": "eisukeizawa/notebook-eisukeizawa", "kernel_id": "40089167"}, {"ref": "ibrahimallabbad/ml-deployment-eda-feature-eng-train-model", "kernel_id": "40636627"}, {"ref": "seongyeopchoi/bike-rental", "kernel_id": "40935295"}, {"ref": "yazeedalsahouri03/bike-sharing-demand-prediction", "kernel_id": "40025357"}, {"ref": "koshino000/notebook14bd79e51e", "kernel_id": "40785534"}, {"ref": "eugeniaanello/introduction-to-numpy-and-pandas", "kernel_id": "41935930"}, {"ref": "fatmazaher/bike-sharing", "kernel_id": "41119713"}, {"ref": "sherifyasser/bike-profit-prediction", "kernel_id": "41068967"}, {"ref": "georgysavva/bike-sharing-demand", "kernel_id": "41108825"}, {"ref": "leemoodong/ch6-notebook", "kernel_id": "41762765"}, {"ref": "leemoodong/lecture-ch6-eda", "kernel_id": "41762401"}, {"ref": "leemoodong/lecture-ch6-baseline", "kernel_id": "41762535"}, {"ref": "leemoodong/lecture-ch6-modeling", "kernel_id": "41762605"}, {"ref": "mahdishirvani/bicycle-demand-notebook-2", "kernel_id": "41773716"}, {"ref": "tatsuyamiyake/final-assignment", "kernel_id": "41410681"}, {"ref": "miyakeryota/notebook8b9debba70", "kernel_id": "41088607"}, {"ref": "takehi/notebookc71e5bd107", "kernel_id": "41377686"}, {"ref": "seyamaakira/notebook86eb674f03", "kernel_id": "41518689"}, {"ref": "funasekaito/notebookcec4a4e0a1", "kernel_id": "41519754"}, {"ref": "maihesham103/predict-count-of-bike-sharing-demand", "kernel_id": "41989058"}, {"ref": "dedkoster/linear-interpretation", "kernel_id": "42273823"}, {"ref": "mariamaboelfadl/bike-sharing-demand-analysis-forcasting", "kernel_id": "42010839"}, {"ref": "gaberuiz/bike-sharing-dataset", "kernel_id": "42365332"}, {"ref": "xiaosuuuuuuuuu/bike-sharing-analysis", "kernel_id": "42193262"}, {"ref": "deepikabagul/tweaked-a-feature-and-voil-stellar-results", "kernel_id": "42982187"}, {"ref": "aliabdelnaby/bike-sharing-demand", "kernel_id": "42022725"}, {"ref": "jahnavikkk/cnathing", "kernel_id": "42166204"}, {"ref": "chaicoding/bike-sharing", "kernel_id": "42623234"}, {"ref": "bhagwati/bike-sharing-for-beginners", "kernel_id": "43709981"}, {"ref": "sooyoungher/my-practice-version-for-bike-sharing-demand", "kernel_id": "43568382"}, {"ref": "pranavmaheshwari2603/bike-sharing-demand-with-some-ensemble-methods", "kernel_id": "43588728"}, {"ref": "scottxchoo/2-eda-exploratory-data-analysis-for-beginner", "kernel_id": "43483856"}, {"ref": "scottxchoo/1-understanding-of-competition", "kernel_id": "43477846"}, {"ref": "scottxchoo/4-improve-model-performance-submission", "kernel_id": "43657362"}, {"ref": "scottxchoo/3-baseline-model", "kernel_id": "43641822"}, {"ref": "justamind/bike-share-research", "kernel_id": "44564592"}, {"ref": "royalrajput17/notebookfe5e11e2f9", "kernel_id": "44858956"}, {"ref": "ebiharaharuki/bikesharingdemand", "kernel_id": "44993012"}, {"ref": "yymm2244/bike-share", "kernel_id": "44809734"}, {"ref": "seonghyeonhwang/t2-6-bike-regressor", "kernel_id": "45858750"}, {"ref": "soonwoojung/bikesharing231106", "kernel_id": "45718272"}, {"ref": "ozi0528/submit-code", "kernel_id": "45636275"}, {"ref": "sjoonpark/datascience-highparameter-tunning", "kernel_id": "45454938"}, {"ref": "harutodomoto/sarima-test", "kernel_id": "45572192"}, {"ref": "harutodomoto/bike-sharing-demand-rmsle-0-3194", "kernel_id": "45600588"}, {"ref": "harutodomoto/ar-test", "kernel_id": "45601441"}, {"ref": "harutodomoto/submission", "kernel_id": "45622963"}, {"ref": "bbaaaaa/notebook6803b4947c", "kernel_id": "45976156"}, {"ref": "mohammadbizhani/titanic-random-forest", "kernel_id": "45744966"}, {"ref": "adarshcgowda/bike-sharing-eda-and-demand-prediction", "kernel_id": "46499243"}, {"ref": "surihh/bike-demand-eda", "kernel_id": "46440554"}, {"ref": "seunghason/bike-sharing-demand-rf-xgboost", "kernel_id": "46838350"}, {"ref": "chrisiliop/eda-model", "kernel_id": "46208554"}, {"ref": "altriax/bike-sharing-lindu", "kernel_id": "47330665"}, {"ref": "ruyyyyy/data-mining-bike-sharing-demand", "kernel_id": "47349765"}, {"ref": "wangshu0514/notebooka5a6dda53a", "kernel_id": "47071837"}, {"ref": "hualab/bikesharing", "kernel_id": "47351157"}, {"ref": "jiazeng0419/1203bike", "kernel_id": "47071336"}, {"ref": "liaoniuyu/notebook91e1309657", "kernel_id": "47414127"}, {"ref": "shatoo/bike-sharing-demand-byc", "kernel_id": "48113093"}, {"ref": "seyeongjang/python-5", "kernel_id": "48635468"}, {"ref": "oleksiilatypov/bike-sharing-demand", "kernel_id": "48403302"}, {"ref": "oleksiilatypov/bike-sharing-demand-latest", "kernel_id": "48484795"}, {"ref": "mohamedmetwallly/bike-problem", "kernel_id": "49986062"}, {"ref": "ebiharaharuki/bikesharingdemand-01", "kernel_id": "49769603"}, {"ref": "silverstreamcho/2024-01-17", "kernel_id": "49553458"}, {"ref": "dpghan/bikeshare-forecasting", "kernel_id": "50185009"}, {"ref": "aaron95629/bike-sharing-demand-stack-model-blending", "kernel_id": "50264406"}, {"ref": "aaron95629/bike-sharing-demand-model-blending-top-8", "kernel_id": "50414193"}, {"ref": "yatharthgautam123789/bike-sharing-demand", "kernel_id": "50823301"}, {"ref": "priyalsingla/bike-sharing-demand-priyal-singla", "kernel_id": "50034715"}, {"ref": "jinkwonskk/bike-sharing-demand-jake-lee", "kernel_id": "51139732"}, {"ref": "jinkwonskk/bike-sharing-demand-ridge-lasso-rf-jake-lee", "kernel_id": "51195528"}, {"ref": "fontesi/06-bike-sharing-demand", "kernel_id": "51833163"}, {"ref": "gaolang/msfs-autosklearn", "kernel_id": "51809006"}, {"ref": "sumn2u/bike-sharing-demand-random-forest", "kernel_id": "51832460"}, {"ref": "rickyhouse/bike-sharing-demand-randomforest", "kernel_id": "51220619"}, {"ref": "rickyhouse/fork-of-bike-sharing-demand-linear-regression", "kernel_id": "51902470"}, {"ref": "deanchel106/ch6-notebook", "kernel_id": "51492496"}, {"ref": "sumn2u/bike-sharing-demand-neural-network", "kernel_id": "52811348"}, {"ref": "wnsdud0915/bike-pred-renewal-model", "kernel_id": "52901920"}, {"ref": "wnsdud0915/bike-predict-base-line-model", "kernel_id": "52887197"}, {"ref": "leonidvashchyn/automatic-eda-simple-gbm", "kernel_id": "52364634"}, {"ref": "zhongyanmin/bike-sharing-demand-predict", "kernel_id": "53141451"}, {"ref": "outoftime/bike-sharing-demand", "kernel_id": "53326961"}, {"ref": "sumn2u/bike-sharing-demand-model-comparisons", "kernel_id": "53011781"}, {"ref": "jiyunn/ch6-notebook", "kernel_id": "53655001"}, {"ref": "jhwoo06/ch6-modeling", "kernel_id": "53961443"}, {"ref": "abhinavvvvvvvvvv/bike-sharing-demand", "kernel_id": "53982439"}, {"ref": "joonhwanko/time-series-practice-for-myself", "kernel_id": "53302811"}, {"ref": "haebinlee7/bike-sharing-demand-eda", "kernel_id": "53684269"}, {"ref": "haebinlee7/bike-sharing-demand-ml-linear-regression", "kernel_id": "53698612"}, {"ref": "haebinlee7/bike-sharing-demand-ml-ridge-lasso", "kernel_id": "53699948"}, {"ref": "haebinlee7/bike-sharing-demand-ml-random-forest", "kernel_id": "53702116"}, {"ref": "eunjinjang0016/ch6-notebook", "kernel_id": "53671300"}, {"ref": "jisoojudyjeong/3-31-bikesharingdemand", "kernel_id": "53653450"}, {"ref": "estercifuentesquiles/bike-sharing-demand", "kernel_id": "54223070"}, {"ref": "baejongok/my-first-notebook", "kernel_id": "54773588"}, {"ref": "kkamal2003/bike-sharing-demand", "kernel_id": "54652279"}, {"ref": "janghyeon06gmailcom/0419-1430", "kernel_id": "54909712"}, {"ref": "ayush4549/simple-but-effective-improvising-accuracy", "kernel_id": "54421870"}, {"ref": "eungichoi/choi-eungi", "kernel_id": "54330633"}, {"ref": "aaachen/bike-sharing-demand-random-forest-xgboost", "kernel_id": "55496446"}, {"ref": "rohitkrbose/lgbm-regressor", "kernel_id": "56372826"}, {"ref": "dinamostafaosman/awsproject", "kernel_id": "56551508"}, {"ref": "kwangminki/linear-regression-bike-demand-predict-practice", "kernel_id": "56226169"}, {"ref": "zakyahmadfaisalzaf/notebook3725c83652", "kernel_id": "56453607"}, {"ref": "sebastinazamaravils/bike-sharing", "kernel_id": "56108382"}, {"ref": "shotasekido/s-sekido-bike-sharing-demand-report", "kernel_id": "58405170"}, {"ref": "daeryonglee/lr-simple-bike-demand-prediction-modify", "kernel_id": "58007990"}, {"ref": "victortennis/bike-sharing-demand-victor", "kernel_id": "59739271"}, {"ref": "goyeongmin/t2-6-bike-regressor", "kernel_id": "60056301"}, {"ref": "adnananam/bike-demand-prediction-accuracy-100", "kernel_id": "60405101"}, {"ref": "onlykaggle/t2-6-bike-regressor", "kernel_id": "60060201"}, {"ref": "joonohpark/bikesharing0625", "kernel_id": "60820550"}, {"ref": "pandorilee/notebook9ada55a4da", "kernel_id": "60071135"}, {"ref": "jinjja/t2-6-bike-regressor-3dc2a2", "kernel_id": "60054815"}, {"ref": "joonhwanko/t2-6-rmse", "kernel_id": "60104696"}, {"ref": "sujiq9707/predict-bicycle-demand-1", "kernel_id": "60130307"}, {"ref": "narange/narang-e-bike", "kernel_id": "60039355"}, {"ref": "beja96/bike-sharing-beja", "kernel_id": "61676481"}, {"ref": "matheuscteixeira/bike-rent-prediction-using-rf-and-xgboost", "kernel_id": "61442090"}, {"ref": "matheuscteixeira/bike-rent-prediction-using-rf-and-xgboost-v2", "kernel_id": "61449888"}, {"ref": "jw0201/bike-sharing-demand", "kernel_id": "61700471"}, {"ref": "kodaikinoshita/notebook3e8e155ec9", "kernel_id": "61583109"}, {"ref": "hasida/notebook9b6fa50057", "kernel_id": "61670587"}, {"ref": "matsukano/notebookb2e293fe16", "kernel_id": "61582074"}, {"ref": "yamanochihiro/notebook-cy", "kernel_id": "61114585"}, {"ref": "mimola/bike-visualization-and-prediction", "kernel_id": "62609898"}, {"ref": "victortennis/bikesharingdemand-r-language", "kernel_id": "62439199"}, {"ref": "mokajta/notebook5de137cc27", "kernel_id": "62343862"}, {"ref": "hasida/notebookdb5ce560ba", "kernel_id": "62790749"}, {"ref": "hasida/notebook20240720", "kernel_id": "62447593"}, {"ref": "izumi0616/notebook9cd4064e9c", "kernel_id": "62435349"}, {"ref": "hanryang/p-240807-bikesharing-final", "kernel_id": "63435096"}, {"ref": "rushabhmiyani/bike-sharing-demand-0-1", "kernel_id": "63820579"}, {"ref": "displayed33/bike-sharing-demand", "kernel_id": "64061875"}, {"ref": "clubgnlab/ch6-basline", "kernel_id": "64364996"}, {"ref": "adribhattacharjee02/bikesharingdemandforecasting", "kernel_id": "64144085"}, {"ref": "adribhattacharjee02/bikesharingdemandstudy", "kernel_id": "64148914"}, {"ref": "sujiq9707/bike-sharing-demand", "kernel_id": "64371505"}, {"ref": "evelth/mybikesharingdemand", "kernel_id": "64371368"}, {"ref": "ppr500t/notebookc3e207b60f", "kernel_id": "64360352"}, {"ref": "dukrimpark/modeling", "kernel_id": "64368570"}, {"ref": "hscosta/lgbmregressor", "kernel_id": "65407165"}, {"ref": "tobniislam/bike-sharing-competition-solution", "kernel_id": "65915274"}, {"ref": "yougebuding/kaggle-bike-predict", "kernel_id": "65849410"}, {"ref": "nikola6453/bike-sharing-demand-using-poisson-regression-model", "kernel_id": "65116425"}, {"ref": "amithsompalli/bike-sharing-demand", "kernel_id": "65472133"}, {"ref": "jannikschinkel/bike-sharing-demand-randomforestregression", "kernel_id": "65344042"}, {"ref": "mikerst/bikesharepred", "kernel_id": "65868423"}, {"ref": "mateuspassinato/bike-sharing-demand-tensor-flow-version", "kernel_id": "65875903"}, {"ref": "trispark/bike-sharing-demand-modeling", "kernel_id": "65178599"}, {"ref": "trispark/bike-sharing-demand-baseline", "kernel_id": "65176239"}, {"ref": "trispark/bike-sharing-demand-eda", "kernel_id": "65154074"}, {"ref": "hyunjusung/phase1-preprocess-and-modeling", "kernel_id": "66692780"}, {"ref": "metinhsimimi/bike-sharing-demand", "kernel_id": "66232950"}, {"ref": "behradkarimi/check-some-regression-model-and-find-the-best-one", "kernel_id": "66733124"}, {"ref": "lhongngchn/eda-modeling", "kernel_id": "67541891"}, {"ref": "sjjung3377/ch6-notebook", "kernel_id": "68783451"}, {"ref": "rdaaaa/notebooke46a0f6a02", "kernel_id": "68918308"}, {"ref": "manuelgarcaplaza/proyecto-final", "kernel_id": "69422273"}, {"ref": "jaeraklim/bike-sharing-demand", "kernel_id": "69150603"}, {"ref": "alperugurca/bike-sharing-demand", "kernel_id": "69444268"}, {"ref": "sugiyama2001/bike-sharing-demand-note", "kernel_id": "69392218"}, {"ref": "hiromutakagi/test01", "kernel_id": "69941919"}, {"ref": "ksss190707/bike-sharing-demand-code", "kernel_id": "69994848"}, {"ref": "zyh1104/04-bike-sharing-demand", "kernel_id": "70920090"}, {"ref": "lara19/analysis-and-predit", "kernel_id": "70859569"}, {"ref": "ryota291/notebooke332f71b10", "kernel_id": "70943341"}, {"ref": "matsu26/bike-sharing-demand", "kernel_id": "70625427"}, {"ref": "shutokakegawa/bikesharingdemand", "kernel_id": "70939057"}, {"ref": "robertopark/3-bike-sharing-demand", "kernel_id": "71827036"}, {"ref": "anishvijay/bike-sharing-demand", "kernel_id": "71947249"}, {"ref": "hayatosuzki/code-bike-sharing-demand", "kernel_id": "71116574"}, {"ref": "huanghao2928/bike-sharing-demand-by-hh", "kernel_id": "71672770"}, {"ref": "jingzhouyu/notebookfa03257f1a", "kernel_id": "71697010"}, {"ref": "thieunv/bike-sharing-demand-eda-regression-90-acc", "kernel_id": "72382470"}, {"ref": "beomseongkim/random-forest-regression", "kernel_id": "73542514"}, {"ref": "fz6768953/bike-sharing-demand", "kernel_id": "74237777"}, {"ref": "youngsunjoung/linear-regression-rmsle-of-bike-sharing-demande", "kernel_id": "74847407"}, {"ref": "sohyunwriter/codingtest-study-02", "kernel_id": "75792637"}, {"ref": "junbokoh/eda-bike-sharing-demand", "kernel_id": "75904697"}, {"ref": "junbokoh/modeling-bike-sharing-demand", "kernel_id": "75867559"}, {"ref": "wilson24/02-bike-sharing-demand", "kernel_id": "75774019"}, {"ref": "leejeonghyuni/study2", "kernel_id": "75717470"}, {"ref": "ahmedhasan110/bike-sharing-demand-eda", "kernel_id": "75028456"}, {"ref": "sunnyhoya/study02-bike-sharing-demand", "kernel_id": "75696465"}, {"ref": "beomjly/bike-sharing-demand", "kernel_id": "75232715"}, {"ref": "keugmogu/bike-rental-demand-regression-model", "kernel_id": "75046245"}, {"ref": "raffaellodaurbino/linear-regression-on-bicycle-rental-demand", "kernel_id": "75070304"}, {"ref": "senasudemir/bike-sharing-demand-prediction", "kernel_id": "76518088"}, {"ref": "ensari/biketest", "kernel_id": "77437062"}, {"ref": "ochirbatbayanjargal/bike-sharing-ml", "kernel_id": "77972089"}, {"ref": "aaronwatk/notebook9473d87df7", "kernel_id": "78761179"}, {"ref": "hindabdalla/final-project-predict-bikes-rentals", "kernel_id": "79207761"}, {"ref": "eden2005/notebook200238edff", "kernel_id": "79609130"}, {"ref": "sangseoseo/bike-sharing-demand-forecaset-baseline-model", "kernel_id": "80967734"}, {"ref": "sangseoseo/exploratory-data-analysys-on-bike-sharing-demand", "kernel_id": "80925071"}, {"ref": "ugurcan95/bike-sharing-demand", "kernel_id": "80872766"}, {"ref": "icomert/demand-predictor-random-forest", "kernel_id": "80714349"}, {"ref": "darrylyunussulistyan/bike-sharing-demand-1", "kernel_id": "81959460"}, {"ref": "haider12/autogluon-bikesharingaws-submission", "kernel_id": "82925848"}, {"ref": "nakko22/share-cycling-demand-predict", "kernel_id": "82379238"}, {"ref": "yogeshkg/bike-sharing", "kernel_id": "82511275"}, {"ref": "monefujiki/notebook-randomforest", "kernel_id": "82709453"}, {"ref": "deryaumutkulal/bike-sharing-demand", "kernel_id": "83041539"}, {"ref": "liusunju/bike-sharing-demand-for-begginer", "kernel_id": "83989379"}, {"ref": "mohitsujan/mohitnotebook", "kernel_id": "83677308"}, {"ref": "shrianjancharitadury/notebookaefafe6ee5", "kernel_id": "83620267"}, {"ref": "abhishekjc19/notebookabhishekjc", "kernel_id": "83611077"}, {"ref": "sumitpatil18/notebook6cf50a6b9a", "kernel_id": "83657962"}, {"ref": "sagarbidari16/submission2", "kernel_id": "83698384"}, {"ref": "sagarbidari16/submission3", "kernel_id": "83698715"}, {"ref": "sagarbidari16/submission4", "kernel_id": "83698948"}, {"ref": "rakshithy3185/bike-sharingry", "kernel_id": "83669242"}, {"ref": "ramesham/notebookd38ee3001c", "kernel_id": "83674499"}, {"ref": "ramesham/notebook44c5fc4362", "kernel_id": "83674841"}, {"ref": "ramesham/notebooke2cac60b5b", "kernel_id": "83675300"}, {"ref": "ramesham/notebook1c57b3f0f4", "kernel_id": "83673837"}, {"ref": "mizukitatebe/notebooktatebe", "kernel_id": "83766733"}, {"ref": "jakenty1/assgiment-2-part-1-2-bike-rental-data-analysis", "kernel_id": "84096242"}, {"ref": "atharezzeldin/bikesharingdemand-autogluon", "kernel_id": "84740791"}, {"ref": "mmarisirot/5bike-sharing-demand", "kernel_id": "84125427"}, {"ref": "bilgingunes/bike-sharing-demand", "kernel_id": "85120557"}, {"ref": "youice913/bike-sharing-demand-full-analysis-modeling", "kernel_id": "85175757"}, {"ref": "chizaramchibueze/bike-sharing-chizy", "kernel_id": "85177210"}, {"ref": "imsulnetflix/notebook45d64db5ac", "kernel_id": "85039448"}, {"ref": "pigpork/final-assignment", "kernel_id": "85716905"}, {"ref": "jinjinaa/t2-6-bike-regressor", "kernel_id": "85419264"}, {"ref": "unokoki/bikesharing1", "kernel_id": "86427475"}, {"ref": "oguztoy/bike-sharing-demand", "kernel_id": "86076299"}, {"ref": "masato0207/25rmd33-bike", "kernel_id": "86193310"}, {"ref": "yrkaass/bike-sharing-demand", "kernel_id": "86400084"}, {"ref": "kyosuke0/bike-sharing-task-d", "kernel_id": "87485364"}, {"ref": "snd072/2025aai-top-10-bike-sharing-rf-gbm", "kernel_id": "87494104"}, {"ref": "sahara1227/notebook8fb96fd190", "kernel_id": "87229677"}, {"ref": "deriki/fork-of-notebooka1b86212a0", "kernel_id": "87501184"}, {"ref": "ryoyaguchi/bike-sharing-demand-exam-d", "kernel_id": "87538218"}, {"ref": "kimyebyeol/bike-predict", "kernel_id": "87686246"}, {"ref": "yelowfungi/1-bike", "kernel_id": "87995805"}, {"ref": "albertmoon/03-bike-eda", "kernel_id": "88867747"}, {"ref": "albertmoon/06-bike-lasso-regression", "kernel_id": "88949429"}, {"ref": "albertmoon/07-bike-randomforest", "kernel_id": "88950798"}, {"ref": "albertmoon/04-bike-baseline-model", "kernel_id": "88934682"}, {"ref": "albertmoon/05-bike-ridge-regression", "kernel_id": "88938718"}, {"ref": "alipakzad/bike-sharing-demand-regression-eda-visualization", "kernel_id": "88816823"}, {"ref": "vedanshtyagi2451/2025aai-top-10-bike-sharing-rf-gbm", "kernel_id": "88570796"}, {"ref": "youssefkaram222/bike-sharing-demand-lightgbm-rmsle-0-3", "kernel_id": "88107419"}, {"ref": "ihungtseng/notebook387b7b6b27", "kernel_id": "88581899"}, {"ref": "emrullahyediyildiz/bike-sharing", "kernel_id": "89596811"}, {"ref": "harshahalpara/xgboost-with-time-data-cleanning", "kernel_id": "90709429"}, {"ref": "mzhao23/notebook2c1f25a8ca", "kernel_id": "92096914"}, {"ref": "arvapallimanikanta/bike-sharing-demand", "kernel_id": "94712010"}, {"ref": "quangnguynv/bike-sharing-demand", "kernel_id": "94670326"}, {"ref": "samhitardy2801/bike-sharing-demand-ml", "kernel_id": "94411997"}, {"ref": "nikithareddy14/bike-sharing-demand", "kernel_id": "94810308"}, {"ref": "varunmittapalli/bike-sharing", "kernel_id": "94833812"}, {"ref": "donghyun29/bike-demand-randomforest-only", "kernel_id": "97621087"}, {"ref": "donghyun29/bike-demand-kd-1", "kernel_id": "97617671"}, {"ref": "riyuesu/bike-sharing-demand-lightgbm", "kernel_id": "97387922"}, {"ref": "riyuesu/data-analysis", "kernel_id": "97385167"}, {"ref": "yoshikiminamisawa/bike-sharing-demand-1", "kernel_id": "97075802"}, {"ref": "riyuesu/bike-sharing-demand-blending", "kernel_id": "98588882"}, {"ref": "riyuesu/bike-sharing-demand-more-future", "kernel_id": "98586755"}, {"ref": "riyuesu/bike-sharing-demand-k-fold", "kernel_id": "98584991"}, {"ref": "kemmmk3/bike-share-demand-exp", "kernel_id": "98400186"}, {"ref": "reiyas/submission", "kernel_id": "99940073"}, {"ref": "yoshikiminamisawa/modeling-bike-sharing-demand", "kernel_id": "100293049"}, {"ref": "oku1218/bike-sharing-demand", "kernel_id": "100547644"}, {"ref": "shogo0415/biprogy-kaggle", "kernel_id": "100677541"}, {"ref": "lawalfathiah/bike-demand-model-comparison", "kernel_id": "102899416"}, {"ref": "himanshicutie/bikesharingdemand", "kernel_id": "103127748"}, {"ref": "mohamed20o03/bikesharingdemandnotebook", "kernel_id": "105434635"}, {"ref": "zncu2005/notebook", "kernel_id": "105522114"}, {"ref": "wanyuxin06/test-1", "kernel_id": "105615526"}, {"ref": "nianyuan123/notebookbec7a02ecd", "kernel_id": "105470887"}, {"ref": "teacherblessme/notebook99b3a9a97b", "kernel_id": "105543912"}, {"ref": "dingyujian/notebook", "kernel_id": "105827125"}, {"ref": "hunbot/study-bike-demand-ref-top-10-visualization", "kernel_id": "106136624"}, {"ref": "yarupang/notebook9eb4a032cd", "kernel_id": "106097982"}, {"ref": "engawaiskhalid/bike-sharing-demand-eda-stats-visual-insights", "kernel_id": "106617214"}, {"ref": "miniboom/bike-sharing-demand", "kernel_id": "106473927"}, {"ref": "glassyskytuv/bike-sharing-demand", "kernel_id": "107657969"}, {"ref": "zhoujuncheng/dm-final-work", "kernel_id": "107848799"}, {"ref": "agronin/final-work-for-dw-dm", "kernel_id": "107750257"}, {"ref": "mffffffffff/notebook18eb6f848e", "kernel_id": "107445310"}, {"ref": "qiqimiao/homework", "kernel_id": "107835326"}, {"ref": "enesyama/bikesharingdemandregression", "kernel_id": "107877024"}, {"ref": "rankel975/bike-sharing-demand", "kernel_id": "107829606"}, {"ref": "kksvly/kksvly-share-bike", "kernel_id": "107754191"}, {"ref": "kksvly/bike-share-kksvly", "kernel_id": "107114591"}, {"ref": "lycises/bike-sharing-demand-1-26", "kernel_id": "107886158"}, {"ref": "shikong0566/notebook121c6d4032", "kernel_id": "107845664"}, {"ref": "sametkrcan/bike-sharing-decision-tree", "kernel_id": "107033217"}, {"ref": "townrust/data-mining-work", "kernel_id": "107740015"}, {"ref": "netherus/notebookfc48673a9b", "kernel_id": "107267065"}, {"ref": "delightle/bike-sharing-demand-prediction-kaggle-notebook", "kernel_id": "107736084"}, {"ref": "eason317/eason3", "kernel_id": "107205224"}, {"ref": "dexlasy/bike-sharing", "kernel_id": "107769770"}, {"ref": "xxxccli/bike-sharing-demand", "kernel_id": "107190447"}, {"ref": "wby012345/notebook1e7a247eee", "kernel_id": "107257680"}, {"ref": "mmmaid/bike-sharing-v1", "kernel_id": "107427851"}, {"ref": "mmmaid/bike-sharing-v2", "kernel_id": "107432230"}, {"ref": "mmmaid/bike-sharing-v3", "kernel_id": "107445657"}, {"ref": "faker777/bike-sharing-demand", "kernel_id": "107595889"}, {"ref": "frostroot/final-homework", "kernel_id": "107578673"}, {"ref": "xiezhaoyili/notebook085176e299", "kernel_id": "107665719"}, {"ref": "aceraye/notebook90ba8ce73d", "kernel_id": "107760365"}, {"ref": "dhanavathnagesh/final-work-for-dw-dm-9f982d", "kernel_id": "107955634"}, {"ref": "zhangchuqi/notebook4b0f8e3f30", "kernel_id": "108291822"}, {"ref": "xiaoqingli11/notebook37e3c28482", "kernel_id": "108245114"}, {"ref": "yujiama0421/notebook7f9ac46fc7", "kernel_id": "108111618"}, {"ref": "myu005/finalwork", "kernel_id": "108374203"}, {"ref": "plhz997/kagglefinal", "kernel_id": "108379127"}, {"ref": "xwjmirage/bike-sharing-demand-notebook", "kernel_id": "108129357"}, {"ref": "ruoxian520/myfinalwork", "kernel_id": "108330464"}, {"ref": "keoucc/notebook172cee8d13", "kernel_id": "108385792"}, {"ref": "zyxxxxxzxxx/notebook80af59c856", "kernel_id": "108236372"}, {"ref": "unimmm/notebook02d7f1292a", "kernel_id": "108221566"}, {"ref": "unimmm/notebookminna202311081009", "kernel_id": "108253215"}, {"ref": "zhangboya123/notebook1521cc8433", "kernel_id": "108206626"}, {"ref": "qiutangchen/ckl-bikesharing", "kernel_id": "108390731"}, {"ref": "tianjiaojing/bike-sharing-demand-jtj-homework", "kernel_id": "108314486"}, {"ref": "zjzgrx/notebook0c7b5a6b48", "kernel_id": "108146791"}, {"ref": "jiangkunpeng/notebook50a26ed766", "kernel_id": "108124144"}, {"ref": "lyreamphion/bike-sharing-demand", "kernel_id": "108171445"}, {"ref": "lyreamphion/notebookc30b073e3c", "kernel_id": "108394488"}, {"ref": "sjwjdzy123/bike-sharing-demand", "kernel_id": "108131429"}, {"ref": "aartox233/homework", "kernel_id": "108066963"}, {"ref": "feeeeeeeeeee/bike-sharing-demand", "kernel_id": "108065199"}, {"ref": "dfghjkk/notebook4171e789fd", "kernel_id": "108141436"}, {"ref": "veronicawong0429/notebookaecc729ce2", "kernel_id": "108232494"}, {"ref": "txm123/notebookftxm", "kernel_id": "108258180"}, {"ref": "zhangxiaoyao2004/lgbm-ridge-blending-for-bike-demand", "kernel_id": "108308919"}, {"ref": "slldslld/notebookda1308e497", "kernel_id": "108335555"}, {"ref": "yzh666aaa/notebook80e088359e", "kernel_id": "108343842"}, {"ref": "flhaaa/notebookflh", "kernel_id": "108374482"}, {"ref": "feianna/notebook88afcdb95a", "kernel_id": "109311934"}, {"ref": "good593/data-preprocessing", "kernel_id": "111732029"}, {"ref": "jalesummak/bike-sharing-demand", "kernel_id": "111565027"}, {"ref": "madisonraney/econ3093-spring", "kernel_id": "111071584"}, {"ref": "celiknalca/tryforestreg", "kernel_id": "112124506"}, {"ref": "dhruv836/assignment-1", "kernel_id": "112821316"}, {"ref": "kanu7777/notebooke32807e837", "kernel_id": "112006790"}, {"ref": "nihalba/bike-sharing-demand", "kernel_id": "114715841"}, {"ref": "zynptkn06/bike-sharing-demand", "kernel_id": "114765120"}, {"ref": "omosby/4-20-assignment", "kernel_id": "116309563"}, {"ref": "moab89726/final-project-bike-sharing", "kernel_id": "116443180"}, {"ref": "braxtonjpayne/notebook413819b5f0", "kernel_id": "117735820"}, {"ref": "ryuseitakada/souken-lab", "kernel_id": "119220201"}, {"ref": "mehreensiddique/bike-sharing-demand", "kernel_id": "119451067"}, {"ref": "suryanshchattree/ml-deployment-refactored", "kernel_id": "121759992"}, {"ref": "lucalullo/bike-sharing-demand", "kernel_id": "121938738"}, {"ref": "aitoumeda/notebookde93f72ccd", "kernel_id": "125777619"}, {"ref": "aitoumeda/notebookbb786fc0e6", "kernel_id": "125779295"}, {"ref": "tomariguchi/datascience", "kernel_id": "125763754"}, {"ref": "kevalsolanki27/bike-sharing-demand", "kernel_id": "126737106"}, {"ref": "lawrenceganthony/e-commerce-retention-clv-optimization", "kernel_id": "126471970"}, {"ref": "bbtsts/hanndekyouyuusiteiruko-do", "kernel_id": "126533577"}, {"ref": "bbtsts/all-time", "kernel_id": "126557425"}, {"ref": "bbtsts/add9and19", "kernel_id": "126560031"}, {"ref": "huaiyuteng/notebook49054a07e4", "kernel_id": "126025189"}, {"ref": "mono2026/notebookdata-last", "kernel_id": "127556597"}, {"ref": "benhurraj/bike-sharing-demand-data-analysis-ml", "kernel_id": "128091648"}, {"ref": "aitoumeda/notebook7317bd99ae", "kernel_id": "128431481"}, {"ref": "bbtsts/tuukinnzikann-7-8-9-16-17-18-19", "kernel_id": "128356527"}, {"ref": "bbtsts/add-peaktime-afternoon", "kernel_id": "128359732"}, {"ref": "titakongolo/bike-sharing-xgboost-et-feature-engineering", "kernel_id": "129557130"}, {"ref": "sasurabahsanjana/bike-sharing-multiple-linear-regression", "kernel_id": "133619264"}]}
{"competition_id": "3949", "kernels": [{"ref": "benhamner/default-r-text-1", "kernel_id": "2701"}, {"ref": "benhamner/simple-julia-benchmark", "kernel_id": "2785"}, {"ref": "benhamner/julia-default-text", "kernel_id": "2823"}, {"ref": "benhamner/exploratory-plots-with-julia-and-gadfly", "kernel_id": "3075"}, {"ref": "benhamner/rmarkdown-default-text", "kernel_id": "3087"}, {"ref": "benhamner/default-python-script", "kernel_id": "3090"}, {"ref": "benhamner/wordclouds-1", "kernel_id": "3093"}, {"ref": "ahuaay/attempt1-1", "kernel_id": "100174"}, {"ref": "sidraina89/random-acts-of-pizza", "kernel_id": "11756"}, {"ref": "pritipatra/simple-julia-benchmark", "kernel_id": "4788"}, {"ref": "alvations/basic-nlp-with-nltk", "kernel_id": "404711"}, {"ref": "mbp14mtp/raopizza", "kernel_id": "209646"}, {"ref": "xiaogea/simple-julia-benchmark", "kernel_id": "5676"}, {"ref": "kevinse/notebook-3e6bc92ca10925952253", "kernel_id": "21478"}, {"ref": "sisira/random-acts-of-pizza", "kernel_id": "21678"}, {"ref": "justinle/notebook-02122c138523a1fb16d0", "kernel_id": "29864"}, {"ref": "tonybyte/notebook4a30ab2da1", "kernel_id": "221723"}, {"ref": "jihyeseo/pizza-eda", "kernel_id": "958513"}, {"ref": "rajatk95/notebookb1b8dc9bc4", "kernel_id": "145236"}, {"ref": "haroonc/notebookf7a104a76a", "kernel_id": "112155"}, {"ref": "haroonc/notebook26e44b5093", "kernel_id": "113023"}, {"ref": "haroonc/notebookaa32534f23", "kernel_id": "113041"}, {"ref": "rashmijrao/ml-project", "kernel_id": "232970"}, {"ref": "chqngh/random-pizza", "kernel_id": "132698"}, {"ref": "heyheyivan/random-pizza", "kernel_id": "142004"}, {"ref": "jatinraina/random-acts-of-pizza-xgboost", "kernel_id": "392963"}, {"ref": "jatinraina/random-acts-pizza", "kernel_id": "391504"}, {"ref": "zahoorahmad/basic-nlp-with-nltk-fba294", "kernel_id": "2150850"}, {"ref": "ynue21/random-act-of-pizza", "kernel_id": "2228587"}, {"ref": "elias22/kerneld8b44bc755", "kernel_id": "2271404"}, {"ref": "dpamgautam/nlp-basic-text-data-preprocessing-1", "kernel_id": "3166755"}, {"ref": "tanjinprity/ml-project-cat-and-tan", "kernel_id": "8624408"}, {"ref": "koushikdeb/intro-to-terminologies-of-nlp", "kernel_id": "11585361"}, {"ref": "zhichaoking/pizza-data-test", "kernel_id": "20149235"}, {"ref": "quantuary/random-act-of-pizza", "kernel_id": "30774200"}, {"ref": "danofer/pizza-data-to-csv", "kernel_id": "33458069"}, {"ref": "inderjeetsinghlight/basic-nlp-with-nltk", "kernel_id": "65067921"}, {"ref": "marijaljubenovska/marija-ljubenovska", "kernel_id": "65871491"}, {"ref": "asamurayuuta/ml202518ver2", "kernel_id": "83140702"}, {"ref": "dorisxin/random-acts-of-pizza-text-user-analysis", "kernel_id": "89337621"}, {"ref": "jjmewtw/random-pizza-assignment", "kernel_id": "92059335"}]}
{"competition_id": "3951", "kernels": [{"ref": "sivavedantam/liberty-mutual-project", "kernel_id": "16270886"}]}
{"competition_id": "3953", "kernels": []}
{"competition_id": "3954", "kernels": []}
{"competition_id": "3959", "kernels": []}
{"competition_id": "3960", "kernels": [{"ref": "m0nika/seizurecnn", "kernel_id": "9563644"}, {"ref": "kiran3799/epilepsy-prediction-notebook", "kernel_id": "10844978"}, {"ref": "ahernandez1/american-epilepsy-society-seizure-a-playground", "kernel_id": "11671697"}, {"ref": "widhiwinata/seizurecnn", "kernel_id": "11317951"}, {"ref": "habibmrad1983/american-epilepsy-society-seizure-a-playground", "kernel_id": "15722624"}, {"ref": "habibmrad1983/epilepsy-prediction-notebook", "kernel_id": "15723315"}, {"ref": "nizarislah/american-epilepsy-society-seizure-prediction", "kernel_id": "15330007"}, {"ref": "sorellekana/draft-2-prediction-seizure-1s", "kernel_id": "22991644"}, {"ref": "lizelleniit/american-epilepsy-society-exploring-eeg-data", "kernel_id": "25945244"}, {"ref": "mpwolke/epilepsy-mat-file", "kernel_id": "26717919"}, {"ref": "gianmarcoguarnier/fractal-analysis-on-dog-ieeg-data", "kernel_id": "32062078"}, {"ref": "ayushi97/stft-seizure", "kernel_id": "38286842"}, {"ref": "ayushi97/seizurecnn-8e3ee3", "kernel_id": "38289496"}, {"ref": "mnaczk/seizurecnn-timed-numpy-scipy", "kernel_id": "41234038"}, {"ref": "mnaczk/seizurecnn-timed-cupy-cusignal", "kernel_id": "41234188"}, {"ref": "pastamaple/seizurecnn", "kernel_id": "48886380"}, {"ref": "narnedheeraj/american-epilepsy-seizure-prediction", "kernel_id": "67958233"}, {"ref": "narnedheeraj/ams2lstms", "kernel_id": "68054089"}, {"ref": "narnedheeraj/notebook450469a797", "kernel_id": "68207417"}, {"ref": "coderiderai/aes-adacore-logic-based", "kernel_id": "108324776"}]}
{"competition_id": "3966", "kernels": [{"ref": "chachiawacef/africa-soil-property-prediction-0-6-mse", "kernel_id": "15179641"}, {"ref": "datubadiver/notebookd328f54f81", "kernel_id": "20227187"}, {"ref": "sahshashi/stacking-regressor", "kernel_id": "49078210"}, {"ref": "nickoreese/africa-soil-regression", "kernel_id": "61234432"}, {"ref": "ramazanulus/africa-soil-regression-with-deep-learning", "kernel_id": "113953526"}, {"ref": "leonardoramirezlopez/liblex-score-0-47397", "kernel_id": "134512543"}]}
{"competition_id": "3971", "kernels": [{"ref": "linhliu/movie-reviews", "kernel_id": "1579649"}, {"ref": "salmanasylum/kernele31207751b", "kernel_id": "1822107"}, {"ref": "iaroslavai/ed3s2018-day3-rnn", "kernel_id": "1656839"}, {"ref": "harpreethp/bag-of-words-assignment", "kernel_id": "1841126"}, {"ref": "tusharchhajer/kernelb85f719cc4", "kernel_id": "1845652"}, {"ref": "tusharchhajer/bag-of-words-with-random-forest", "kernel_id": "1845667"}, {"ref": "amitkvikram/bag-of-words", "kernel_id": "1969600"}, {"ref": "rohandx1996/google-movie-reviews-sentiment-deep-stack-models", "kernel_id": "1834141"}, {"ref": "khushboosrivastava2/assignment-09-oct-2018", "kernel_id": "1826864"}, {"ref": "sarvesh9111/imdb-review", "kernel_id": "1836901"}, {"ref": "shwetabh123/assignementproblem", "kernel_id": "1822684"}, {"ref": "aamnafea/sklearn-countvectorizer", "kernel_id": "1912545"}, {"ref": "aamnafea/nltk-bag-of-words", "kernel_id": "1850421"}, {"ref": "zachary3141/kernel426d47eb25", "kernel_id": "1812456"}, {"ref": "vincenzh/naivebayesii-moviesentimentanalysis-adrew", "kernel_id": "1624906"}, {"ref": "kriteshsingh/assignment-09-10-2018", "kernel_id": "1828510"}, {"ref": "ganaidu707/bag-of-words-using-logisticregression", "kernel_id": "1839449"}, {"ref": "annatu/movie-sentiment-analysis", "kernel_id": "1579705"}, {"ref": "jayasilan/sentiment-analysis-with-nn-lstm-glove", "kernel_id": "1856358"}, {"ref": "janjali/bag-of-word-simple-countervectorizer", "kernel_id": "1828737"}, {"ref": "janjali/bag-of-word-simple-countvectorizer", "kernel_id": "1838083"}, {"ref": "lcukerd/rating-predictor", "kernel_id": "1833662"}, {"ref": "pbot83/assignment-logisticregression-with-doc2vec", "kernel_id": "1841241"}, {"ref": "dhaka22/kernelffc6846ccb", "kernel_id": "1822282"}, {"ref": "xinruchen/my-nlp-excercises-on-movie-sentiment", "kernel_id": "1950280"}, {"ref": "sumitdua10/cnn-notebook-on-text-classification", "kernel_id": "1768892"}, {"ref": "eddyctid/bow-meets-bop", "kernel_id": "1837725"}, {"ref": "ganguly069/bag-of-words-with-naive-bayes", "kernel_id": "1841694"}, {"ref": "luckyboy1220/movie-sentiment-analysis-using-beautifulsoup", "kernel_id": "1581491"}, {"ref": "galenchen90/kernel2e7f28b792", "kernel_id": "1583740"}, {"ref": "hudanivy/movie-sentiment-baseline-stop-words", "kernel_id": "1586313"}, {"ref": "xchmiao/popcorn-rnn-model", "kernel_id": "1737653"}, {"ref": "chaitanyapatil7/bag-of-words-meets-bag-of-popcorn-accuracy-of-86", "kernel_id": "1840503"}, {"ref": "gradder/bags-of-words-meet-bags-of-challenge", "kernel_id": "1834722"}, {"ref": "snehabansod/bow-meets-bop-using-tfidf-and-svm", "kernel_id": "1841314"}, {"ref": "theainerd/bag-of-words-meets-bag-of-popcorn", "kernel_id": "1833519"}, {"ref": "vamsi1251/bag-of-words-model", "kernel_id": "1823512"}, {"ref": "rk1403/bag-of-words-dataset", "kernel_id": "1841175"}, {"ref": "rajatkatiyar/bag-of-words-with-svm", "kernel_id": "1838449"}, {"ref": "lamdang/tutorial-imdb", "kernel_id": "2274577"}, {"ref": "puneetsingla17/bow-preprocessing-beautifulsoup", "kernel_id": "2944172"}, {"ref": "tharunreddy/tf-idf-0-89", "kernel_id": "2318366"}, {"ref": "jingbinxu/imdb-review-deep-model-93-51-accuracy-c935d8", "kernel_id": "2374063"}, {"ref": "rhkdtjqql/nltk-data-install-practice", "kernel_id": "2140961"}, {"ref": "rhkdtjqql/bag-of-words2", "kernel_id": "2213470"}, {"ref": "nilanml/imdb-review-deep-model-94-89-accuracy", "kernel_id": "2147551"}, {"ref": "lider123/sentiment-analysis-for-bags-of-popcorn", "kernel_id": "2169183"}, {"ref": "harpreethp/bag-of-words-meets-bag-of-popcorn", "kernel_id": "2065055"}, {"ref": "khaitov/word2vec", "kernel_id": "2347976"}, {"ref": "necrospk/kaggle-words-train", "kernel_id": "2348204"}, {"ref": "aakashjhawar/imdb-bag-of-words", "kernel_id": "2681706"}, {"ref": "rajmehra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "2555556"}, {"ref": "thripthi/bag-of-words-meets-bags-of-popcorn-model-using-rf", "kernel_id": "2496378"}, {"ref": "sumitdua10/imdb-text-classification-ensemble", "kernel_id": "2013836"}, {"ref": "sumitdua10/imdb-text-classification-dropout-comparison", "kernel_id": "2011069"}, {"ref": "agrawalsagar178/nlp-on-movie-review-version1", "kernel_id": "2764402"}, {"ref": "jatinmittal0001/word2vec", "kernel_id": "2721854"}, {"ref": "jungan/naivebayes-tf-idf-movie-review", "kernel_id": "2315920"}, {"ref": "isabeltseng/bag-of-words-meets-bags-of-popcorn", "kernel_id": "2033278"}, {"ref": "magic9800/kernel2bc4481284", "kernel_id": "2219468"}, {"ref": "amreshtech/imdb-reviews-with-keras-95-58-accuracy", "kernel_id": "2729784"}, {"ref": "dishkakrauch/first-blood", "kernel_id": "2348272"}, {"ref": "rpgfly/movie-sentiment-analysis", "kernel_id": "2355713"}, {"ref": "sameerdev7/93-f-score-bag-of-words-m-bags-of-popcorn-with-rf", "kernel_id": "2641309"}, {"ref": "squawgle/nlp-example-review-sentiment", "kernel_id": "2723856"}, {"ref": "nmm33342/kernel3988ecf775", "kernel_id": "3259698"}, {"ref": "lxyuan0420/imdb-review-bag-of-words-xgboost", "kernel_id": "3737610"}, {"ref": "timschopf/bag-of-words-meets-bags-of-popcorn-update", "kernel_id": "3534951"}, {"ref": "chiranjeevbit/nlp-movies-review", "kernel_id": "3206927"}, {"ref": "jihunwang/kernel1f5744b16d", "kernel_id": "3024084"}, {"ref": "alexcherniuk/imdb-review-word2vec-bilstm-99-acc", "kernel_id": "3710605"}, {"ref": "justk1/bow-part1", "kernel_id": "3529045"}, {"ref": "yutanakamura/nlp-beginner-s-bow-model", "kernel_id": "3768408"}, {"ref": "pyy0715/bag-of-words", "kernel_id": "3952318"}, {"ref": "abhijeet0101/imdb-review-deep-model-93-51-accuracy", "kernel_id": "3320058"}, {"ref": "yutauchino/bag-of-words-meets-bags-of-popcorn-for-nst-b-1", "kernel_id": "3140643"}, {"ref": "kaitoshishido/bag-of-words-meets-bags-of-popcorn-nst2", "kernel_id": "3140613"}, {"ref": "kaitoshishido/bag-of-words-meets-bags-of-popcorn-nstb2", "kernel_id": "3140810"}, {"ref": "devsanjay/bag-of-words-meets-bag-of-popcorn", "kernel_id": "3077336"}, {"ref": "dajiaoyang/kernele51f4e5b6e", "kernel_id": "3381205"}, {"ref": "kimhansoo/word2vec-hskim", "kernel_id": "3552717"}, {"ref": "mayankg/kernelf4f8b76d32", "kernel_id": "4438966"}, {"ref": "nyxcat61/naive-bayes-from-scratch", "kernel_id": "4888454"}, {"ref": "nyxcat61/movie-sentiment-sklearn", "kernel_id": "4902517"}, {"ref": "solpark/1st-papular-kernel-a-by-hsprk", "kernel_id": "4450446"}, {"ref": "minjipark/bagofwords-bilstm", "kernel_id": "4439488"}, {"ref": "apoorvm/bag-of-words-learning", "kernel_id": "4718945"}, {"ref": "handerblue/movie-sentimental-analysis-naivebayes-tfidf", "kernel_id": "4853062"}, {"ref": "harshitmakkar/nlp-word2vec", "kernel_id": "5559764"}, {"ref": "jiaofenx/imdb-review-word2vec-rnn-tutorial", "kernel_id": "5018942"}, {"ref": "stasler/filmabend", "kernel_id": "5526335"}, {"ref": "chaitanyagarikipati/popcorn-bicudnngru", "kernel_id": "5984829"}, {"ref": "yukikitayama/nlp-for-imdb-reviews", "kernel_id": "5795409"}, {"ref": "khaledmgamal/bag-of-words-rnn-sentiment", "kernel_id": "5550517"}, {"ref": "khaledmgamal/bag-of-words-rnn-lstm-sentiment", "kernel_id": "5562764"}, {"ref": "john77eipe/nlp-word2vec-bag-of-words-meets-bags-of-pop", "kernel_id": "6975801"}, {"ref": "revanthrex/sentiment-analysis-with-word2vec", "kernel_id": "6656241"}, {"ref": "shrinidhin/bag-of-words-meets-bag-of-popcorn-mykernel", "kernel_id": "6998885"}, {"ref": "rajspd/sentiment-analysis-in-20-lines-score-0-854", "kernel_id": "6689712"}, {"ref": "viroviro/sentiment-analysis-tf-idf-logistic-regression", "kernel_id": "6489262"}, {"ref": "yeonseokjeong/imdb-movie-reviews-yeonseok", "kernel_id": "6592926"}, {"ref": "adurey/imdb-review", "kernel_id": "6495896"}, {"ref": "andraw/kernel137c3b5287", "kernel_id": "6817091"}, {"ref": "byhoson/text-classification", "kernel_id": "6403415"}, {"ref": "zanin259/bag-of-words", "kernel_id": "6556565"}, {"ref": "gavrilpetrov/tutorial-1-bag-of-words", "kernel_id": "7538844"}, {"ref": "hachemsfar/imdb-review", "kernel_id": "7802637"}, {"ref": "yepp2411/baseline-model-using-nn-for-movie-review", "kernel_id": "7202664"}, {"ref": "adage14175/natural-language-processing", "kernel_id": "7371399"}, {"ref": "anupriyo/movie-analysis-using-lstm", "kernel_id": "7697330"}, {"ref": "coolsidd14/bag-of-words-model", "kernel_id": "7897778"}, {"ref": "bilalshahidqureshi/nlp-word2vec-07934b", "kernel_id": "7016184"}, {"ref": "evelynchin/bag-of-words-meets-bags-of-popcorn", "kernel_id": "7734143"}, {"ref": "panditdandgule/a-detailed-explanation-of-keras-embedding", "kernel_id": "8294164"}, {"ref": "akshatj52/kernel46271c0194", "kernel_id": "8753173"}, {"ref": "kongnyooong/imdb-review-nlp-tutorial-part-3", "kernel_id": "8254659"}, {"ref": "kongnyooong/imdb-review-nlp-tutorial-part-2", "kernel_id": "8113127"}, {"ref": "kongnyooong/imdb-review-nlp-tutorial-part-1", "kernel_id": "8072985"}, {"ref": "vladislavslevin/nltk-word2vec-bag-of-words-bags-of-popcorn", "kernel_id": "8877165"}, {"ref": "kategera06/comparing-svm-naivebayes-randomforest-knn-logreg", "kernel_id": "8625985"}, {"ref": "tobbyrui/kernel52b27e1931", "kernel_id": "8425762"}, {"ref": "oscarola/word2vec-tutorial", "kernel_id": "9224934"}, {"ref": "wangbb/kernel76c37b4a5e", "kernel_id": "9486280"}, {"ref": "chandra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "9467551"}, {"ref": "kerrigankelton/bagopopcorn", "kernel_id": "9162902"}, {"ref": "kerrigankelton/bag-o-popcorn", "kernel_id": "9103254"}, {"ref": "fizaazam/kernel502c9b3245", "kernel_id": "9066548"}, {"ref": "aadarshverma/imdb-second", "kernel_id": "10484379"}, {"ref": "jayantmathur/imdb-review-data", "kernel_id": "10814863"}, {"ref": "pratikbarua/bag-of-words-meets-bags-of-popcorn", "kernel_id": "10032222"}, {"ref": "nehabansal/stacking-blending-and-ensemble-tutorial", "kernel_id": "11985314"}, {"ref": "nsj2018/text-classification-sentiment-analysis", "kernel_id": "11728480"}, {"ref": "rafanthx13/films-review-nlp-feeling-text-classification", "kernel_id": "11716134"}, {"ref": "ayano0412/imdb-review-fastest-model-88-f1", "kernel_id": "11042975"}, {"ref": "janggh/bag-of-words-meets-bags-of-popcorn-0901", "kernel_id": "11472179"}, {"ref": "jsyphil/part-1-bag-of-words-meets-bags-of-popcorn", "kernel_id": "12431860"}, {"ref": "jsyphil/part-2-bag-of-words-meets-bags-of-popcorn", "kernel_id": "12438656"}, {"ref": "jsyphil/part-3-bag-of-words-meets-bags-of-popcorn", "kernel_id": "12442173"}, {"ref": "farsanas/challenges-in-text-analysis-fully-connected-nn", "kernel_id": "12545398"}, {"ref": "farsanas/are-you-ready-to-build-your-own-word-embedding", "kernel_id": "12300522"}, {"ref": "novikovmikhail/word2vec-evaluating-good-comments", "kernel_id": "12779931"}, {"ref": "ravijain01/bag-of-words-using-random-forest-classifier", "kernel_id": "13156893"}, {"ref": "playercjg/nlp-word2vec-082e7c", "kernel_id": "13532823"}, {"ref": "catholpython/nlp-part-3", "kernel_id": "13370449"}, {"ref": "blighpark/imdb-part1-bow", "kernel_id": "14116458"}, {"ref": "blighpark/imdb-part2-word2vec", "kernel_id": "14138797"}, {"ref": "blighpark/imdb-mlwave", "kernel_id": "14143595"}, {"ref": "rahulkumarp/sentiment-analysis", "kernel_id": "14661887"}, {"ref": "nadezhda2019/nlp-rnn", "kernel_id": "15914886"}, {"ref": "soominsohn/mylove", "kernel_id": "15851154"}, {"ref": "girijeshcse/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "16845475"}, {"ref": "zzz0534/gru-classify", "kernel_id": "16278075"}, {"ref": "foolchicken/word2vec-on-imdb", "kernel_id": "16643585"}, {"ref": "jurk06/sentiment-analysis-part-i", "kernel_id": "17070927"}, {"ref": "jurk06/sentiment-analysis-part-ii", "kernel_id": "17136460"}, {"ref": "seungjo2/notebook6c66bcdaa7", "kernel_id": "17215869"}, {"ref": "seungjo2/bowpractice", "kernel_id": "17424749"}, {"ref": "andrii0yerko/imdb-sentiment-with-vowpal-wabbit", "kernel_id": "17762584"}, {"ref": "lilkaskitc/imdb-word-embeddings-neural-network", "kernel_id": "18842431"}, {"ref": "rawaaelghali/sentiment-analysis-101-using-word2vec", "kernel_id": "18420089"}, {"ref": "krishnamore/moviereview-simpleneuralnetwork", "kernel_id": "18489475"}, {"ref": "pranjalchatterjee/bag-of-words-word2vec-for-sentiment-analysis", "kernel_id": "18175159"}, {"ref": "yasiradoan/bag-of-words-meets-bags-of-popcorn-randomforest", "kernel_id": "18268598"}, {"ref": "infrarosso/imdb-with-embedding-transfer-learning-lstm", "kernel_id": "19394269"}, {"ref": "infrarosso/imdb-with-transfer-learning-from-tensorflow-hub", "kernel_id": "19402908"}, {"ref": "rohitsaistark/model-mixing", "kernel_id": "20964703"}, {"ref": "aayushkubba/word2vec-tutorial", "kernel_id": "20315335"}, {"ref": "aayushkubba/nlp-word2vec", "kernel_id": "20293059"}, {"ref": "yavuzselimkaraman/bag-of-words-meets-bags-of-popcorn", "kernel_id": "20079328"}, {"ref": "jansirajendran/popcorn", "kernel_id": "20465706"}, {"ref": "arti1117/bag-of-words-meets-bags-of-popcorn", "kernel_id": "21713424"}, {"ref": "dmitryzaykov/nlp-random-forest", "kernel_id": "21213928"}, {"ref": "kobeerose/meets-bags-of-popcorn-a-beginner-s-notebook", "kernel_id": "21190872"}, {"ref": "farhanmalik371/bag-of-words-attempt", "kernel_id": "21022216"}, {"ref": "keivanipchihagh/bag-of-words-meets-bags-of-popcorn", "kernel_id": "21636730"}, {"ref": "rowanjs/sentiment-analysis-word2vec-lstm", "kernel_id": "21027184"}, {"ref": "stepanrepin/word2vec-lr", "kernel_id": "21966803"}, {"ref": "vladislavvlasenko/bag-of-words", "kernel_id": "21380654"}, {"ref": "grigorypetrov/nlp-with-forest", "kernel_id": "21679379"}, {"ref": "renatzemtsov/bag-of-words-nlp", "kernel_id": "21258299"}, {"ref": "annabelyaeva/belyaevanlp", "kernel_id": "21742911"}, {"ref": "alexanderyemelyanov/notebooke4925d1ad4", "kernel_id": "21501598"}, {"ref": "kiernanmcguigan/sentiment-bag-of-words-tokenization", "kernel_id": "22922888"}, {"ref": "durgeshmaurya/sentiment", "kernel_id": "22879072"}, {"ref": "southeslem/taisumov-nlp", "kernel_id": "22913871"}, {"ref": "slavavolkonenkov/natlanguageproccessing", "kernel_id": "22792709"}, {"ref": "mokhnatkinkirill/nlpword2vec", "kernel_id": "22883435"}, {"ref": "nikitatsyganyuk/notebookword2vec", "kernel_id": "22848670"}, {"ref": "aershov/ml2021-nlp", "kernel_id": "22202147"}, {"ref": "alinadovzhenko/notebook39b260815c", "kernel_id": "22892782"}, {"ref": "veratumanova/nlp-vt", "kernel_id": "22326169"}, {"ref": "kseniiaplatunova/nlp-lab", "kernel_id": "22088481"}, {"ref": "vladislavsemenyonok/notebookdf2b80fd2d", "kernel_id": "22573895"}, {"ref": "ivansibiryakov/nlp-sibiryakov-8305", "kernel_id": "22902856"}, {"ref": "saprykinalexander/nlp-films", "kernel_id": "22354055"}, {"ref": "alexandrpanarin/nlp-notebook", "kernel_id": "22015960"}, {"ref": "nikitalukashov/nlplab", "kernel_id": "22356021"}, {"ref": "vladislavsergeev/nlp-with-randomforest", "kernel_id": "22411906"}, {"ref": "dmirtyenikeev/notebookcd6ece3408", "kernel_id": "22981358"}, {"ref": "shprit/nlp-rfc", "kernel_id": "22890261"}, {"ref": "anastasiyachapurina/nlp-n-ch", "kernel_id": "22563881"}, {"ref": "alexanderbubnovman1/nlp-notebook", "kernel_id": "22187425"}, {"ref": "polinamaltseva/nlp-bag-of-words-meets-bags-of-popcorn", "kernel_id": "22542797"}, {"ref": "elwinner23/nlp-bag-of-words", "kernel_id": "22948518"}, {"ref": "akshinguseinov/nlepe", "kernel_id": "22947886"}, {"ref": "tkachevigor/nlp-tkachev", "kernel_id": "22948757"}, {"ref": "rusalnabdullin18/notebookdbc97e0401", "kernel_id": "22651803"}, {"ref": "soloveve/nlp-8306", "kernel_id": "22748506"}, {"ref": "milenamiskevich/nlp-competition", "kernel_id": "22968376"}, {"ref": "georgefourmouzis/review-sentiment-prediction-vader-bow-bert", "kernel_id": "22698165"}, {"ref": "lebyby/ml-nlp-notebook", "kernel_id": "22701292"}, {"ref": "veronikasmirnova/smirnovaveronikanlp", "kernel_id": "22511806"}, {"ref": "andreyshestaev/labor4nlp", "kernel_id": "22710071"}, {"ref": "aidachernyavskaya/bag-of-words", "kernel_id": "22872863"}, {"ref": "egortuliandin/tenlp", "kernel_id": "22991653"}, {"ref": "kirsonbrz/nlp-830804", "kernel_id": "22886991"}, {"ref": "leonidspiridonov/notebook218cd76846", "kernel_id": "22851242"}, {"ref": "lxxmik/ml-nlp", "kernel_id": "22871903"}, {"ref": "chimchoppa/nlp-8308-smi", "kernel_id": "22941565"}, {"ref": "rmnv1488/shubinov-nlp", "kernel_id": "22921858"}, {"ref": "miguelkorn/sentimentanalyse", "kernel_id": "23675019"}, {"ref": "maloyy/word2vec", "kernel_id": "23403943"}, {"ref": "nikosavgeros/sentiment-analysis-with-tensorflow-accuracy-87", "kernel_id": "23572797"}, {"ref": "seregabdx/notebook82086ca53d", "kernel_id": "23876979"}, {"ref": "kiernanmcguigan/sentiment-bag-of-words-naive-bayes", "kernel_id": "23085999"}, {"ref": "kiernanmcguigan/sentiment-bag-of-words-gradient-boosting", "kernel_id": "23085257"}, {"ref": "kiernanmcguigan/sentiment-bag-of-words-random-forest", "kernel_id": "23081457"}, {"ref": "shustikovvladislav/notebook4ccf2c8e93", "kernel_id": "23072777"}, {"ref": "batonny/notebookae11c003ca", "kernel_id": "23165198"}, {"ref": "mikhailkovzalov/kaggle-nlp", "kernel_id": "23921521"}, {"ref": "mikhailkovzalov/kaggle-nlp-try2", "kernel_id": "23921861"}, {"ref": "juliavassilenko/notebookd1a59fac1e", "kernel_id": "23304467"}, {"ref": "valeriaoseneva/8306-oseneva-nlp", "kernel_id": "23673602"}, {"ref": "lyudalapkina/8306-new", "kernel_id": "23929746"}, {"ref": "gorodovleonid/8308gorodov-nlp", "kernel_id": "23143150"}, {"ref": "ivansmeyukha/smeyukha-8305-nlp", "kernel_id": "23001829"}, {"ref": "alexanderkostin/kostinav-8305-nlp", "kernel_id": "23001795"}, {"ref": "denisshvetsov811/nlp-shvetsov8305", "kernel_id": "23101282"}, {"ref": "nikitadyagilev/nlp-dyagilev8305", "kernel_id": "23101670"}, {"ref": "simonfedorov/fedorov-8305-nlp", "kernel_id": "23163114"}, {"ref": "aleksandrkolbin/kolbin-8305-nlp", "kernel_id": "23164395"}, {"ref": "dmtnikolaev/notebookbedeeca349", "kernel_id": "23437363"}, {"ref": "antonsharandin/nlp-sharandin-anton", "kernel_id": "23300050"}, {"ref": "alex150293/bag-of-words-meets-bags-of-popcorn-part-1", "kernel_id": "23846273"}, {"ref": "mikhailutk/tresko8308-nlp", "kernel_id": "23838480"}, {"ref": "husseinaly/movie-reviews", "kernel_id": "24249603"}, {"ref": "husseinaly/movie-reviews-complete", "kernel_id": "24190151"}, {"ref": "ominiv/sentiment-analysis-unsupervised-and-supervised", "kernel_id": "24199843"}, {"ref": "kamaljp/learning-nlp-classification-spacy", "kernel_id": "25314675"}, {"ref": "goen01/chapter7-practice-bagofwords", "kernel_id": "25060709"}, {"ref": "jiinpp/visualization-sentiment-analysis", "kernel_id": "25943489"}, {"ref": "jkanthony/nlp-tutorial-for-beginners", "kernel_id": "25590692"}, {"ref": "gopalgoyal612002/sentiment-bag-of-words-tokenization", "kernel_id": "25061996"}, {"ref": "bell2psy/practicing-sentimental-analysis", "kernel_id": "25754772"}, {"ref": "abhinandanreddy/bow-bags-of-popcorn-part1", "kernel_id": "25888517"}, {"ref": "abhinandanreddy/bow-bags-of-popcorn-word2vec", "kernel_id": "25916883"}, {"ref": "dakshsharma3012/dl-miniproject", "kernel_id": "26538566"}, {"ref": "lucasrieutord/bags-of-popcorn-competition", "kernel_id": "27867442"}, {"ref": "nishathakkar/bag-of-words", "kernel_id": "27186093"}, {"ref": "parksuyoung1234/hw09-nlp-sentiment", "kernel_id": "27311745"}, {"ref": "dmitrybakanov/bag-of-words-with-catboost-and-keras", "kernel_id": "28860751"}, {"ref": "hcamara/imdb-sentiment-prediction", "kernel_id": "28436148"}, {"ref": "yagli18/bag-of-words-meets-bags-of-popcorn", "kernel_id": "29916627"}, {"ref": "kemalfarukbaaran/bagofwords", "kernel_id": "29814343"}, {"ref": "lhernand/bag-of-words-with-neattext", "kernel_id": "30397741"}, {"ref": "abeeradel/eda-for-reviews-with-n-grams-analysis", "kernel_id": "30986356"}, {"ref": "favorcat/nlp-day1", "kernel_id": "30839433"}, {"ref": "abeeradel/using-word2vec-embeddings", "kernel_id": "31228233"}, {"ref": "mohdbilalhaider/applied-deep-learning-text-classification", "kernel_id": "31502432"}, {"ref": "kumbaraci/sentiment-analysis-sgd-logreg1", "kernel_id": "31454831"}, {"ref": "kumbaraci/sentiment-analysis-logreg1", "kernel_id": "31467305"}, {"ref": "kumbaraci/sentiment-analysis-svclin1", "kernel_id": "31468207"}, {"ref": "julianowakowska/sentiment-analysis-movies-reviews", "kernel_id": "31010036"}, {"ref": "prateeks3577/bwmbp-bow-word2vec-clustering", "kernel_id": "31488701"}, {"ref": "favorcat/nlp-day2", "kernel_id": "31024045"}, {"ref": "fatmaq84/word2vec", "kernel_id": "31744801"}, {"ref": "tasnim1998/bag-of-words-meets-bags-of-popcorn-randomforest", "kernel_id": "31734344"}, {"ref": "naseem123/sentiment-analysis-using-bi-lstm", "kernel_id": "32032796"}, {"ref": "gazu468/all-about-bert-you-need-to-know", "kernel_id": "32665951"}, {"ref": "amirkonjkav/explanation-of-embedding-layer", "kernel_id": "32834351"}, {"ref": "klyushnik/bag-of-words-meets", "kernel_id": "32671363"}, {"ref": "abdulsalamalsumaini/text-classificationn", "kernel_id": "32038052"}, {"ref": "omarkhd99/text-classificationn", "kernel_id": "32008800"}, {"ref": "kuttersn/imdb-review-sentiment-analysis-99-accuracy", "kernel_id": "33770047"}, {"ref": "ahmedzedan0/imdb-review-sentiment-analysis-99-accuracy", "kernel_id": "33685856"}, {"ref": "bandih/bag-of-words-meets-bags-of-popcorn-using-bilstm", "kernel_id": "33018287"}, {"ref": "bencetar/sentiment-analysis-with-keras", "kernel_id": "34074780"}, {"ref": "abhigyaverma/sentiment-analysis-with-basic-ml-models", "kernel_id": "35677712"}, {"ref": "aymankamran/notebook88eaf1c77f", "kernel_id": "35150140"}, {"ref": "hamzabouajila/text-classification-part-i-convolutional-networ", "kernel_id": "35712299"}, {"ref": "azaharulislam/is392-sp23-c4", "kernel_id": "36084226"}, {"ref": "halilbrahimblge/bag-of-wordls-meets", "kernel_id": "36561329"}, {"ref": "selvin3/review-classification", "kernel_id": "36365742"}, {"ref": "alawdisoft/word-embeddings-and-embedding-layer-in-keras", "kernel_id": "36161111"}, {"ref": "graceburke/is392-sp23-c4", "kernel_id": "37796451"}, {"ref": "sabahesaraki/bag-of-words-meets-bags-of-popcorn-word2vec-nlp", "kernel_id": "38378277"}, {"ref": "tongfengkou/imdb-review-sentiment-analysis-86-50-acc", "kernel_id": "38353682"}, {"ref": "minalijain/nlp-bag-of-words-meets-bags-of-popcorn", "kernel_id": "38631183"}, {"ref": "greyisbetter/pre-trained-embedding-with-sequential-api", "kernel_id": "39750708"}, {"ref": "varshachaudhary13/notebookd79e63c3f9", "kernel_id": "39365995"}, {"ref": "nadaazabmohamed/text-classification-for-beginners", "kernel_id": "40836892"}, {"ref": "keerthi4701/sentiment-analysis-using-bow", "kernel_id": "40747008"}, {"ref": "basten1209/bag-of-words-copy-review-in-korean", "kernel_id": "40740876"}, {"ref": "dpaul93/bag-of-words-meets-bags-of-popcorn-word2vec-nlp", "kernel_id": "41786096"}, {"ref": "amroaskar/bag-of-words-meets-bags-of-popcorn", "kernel_id": "41944734"}, {"ref": "sumitgunjal/bagofwords", "kernel_id": "41242910"}, {"ref": "salazhiev/5-steps-easy-0-879", "kernel_id": "41048476"}, {"ref": "seongyeopchoi/imdb-review", "kernel_id": "41034478"}, {"ref": "thegrud/for-beginners", "kernel_id": "41105490"}, {"ref": "yakinoki/bag-of-words-meets-bags-of-popcorn-with-optuna", "kernel_id": "42554447"}, {"ref": "sayedshaun/bag-of-words-meets-bags-of-popcorn", "kernel_id": "42813164"}, {"ref": "jaienmalik/movie-review-analysis", "kernel_id": "42245905"}, {"ref": "amariliskhairinam/word-cloud-sentiment-analysis", "kernel_id": "43549173"}, {"ref": "coinshot/movie-reviews-nlp-model", "kernel_id": "43436792"}, {"ref": "elenaeds/bag-of-words-meets-bags-of-popcorn-optuna", "kernel_id": "43060198"}, {"ref": "chidaksh/abb-word2vec", "kernel_id": "44080308"}, {"ref": "raviusz/nlp-bag-of-words-meets-bags-of-popcorn", "kernel_id": "44655930"}, {"ref": "jankuper192/word2vec-in-r-using-h2o-draft", "kernel_id": "45893065"}, {"ref": "hanannr/text-class", "kernel_id": "45882467"}, {"ref": "mohammedalsooj/bag-of-words-meets-bags-of-popcorn", "kernel_id": "45886446"}, {"ref": "inamqadir/text-classification-assignment", "kernel_id": "46244905"}, {"ref": "khadijacheema/text-classification-assig-bag-of-words-meets", "kernel_id": "46467770"}, {"ref": "binthnisar/text-classf-keras", "kernel_id": "46462990"}, {"ref": "epicrako/bag-of-words-meets-bags-of-popcorn-randomforest", "kernel_id": "46245378"}, {"ref": "khaterehmohammadi1/text-classification-assignment", "kernel_id": "46301569"}, {"ref": "abdulfattah1/notebookf0d6732689", "kernel_id": "46172925"}, {"ref": "bilal39/text-classification-assignment", "kernel_id": "46411311"}, {"ref": "hanannr/text-class-roberta", "kernel_id": "46427704"}, {"ref": "heshamzaky/bag-of-words", "kernel_id": "46034716"}, {"ref": "rafaaalalwani/assignment-bag-of-words", "kernel_id": "46293444"}, {"ref": "rafaaalalwani/assignment-bagofwords-no-extra-dataset", "kernel_id": "46443042"}, {"ref": "aldanaaa/text-classification", "kernel_id": "46316376"}, {"ref": "nima88/bag-of-words", "kernel_id": "46450504"}, {"ref": "najlafahad/text-classification", "kernel_id": "46294136"}, {"ref": "pr4nav101/movie-review-sentiment-analysis", "kernel_id": "46308315"}, {"ref": "hbkuali/text-classification", "kernel_id": "46038394"}, {"ref": "khalfan1111/text-classification-ch", "kernel_id": "46038469"}, {"ref": "fraz210049884/notebook6ee2f952ef", "kernel_id": "46467433"}, {"ref": "fathimalamya/fathima-lamya-text-classification", "kernel_id": "46446724"}, {"ref": "ahmedmagdyhosney/text-classification-beginner-training2", "kernel_id": "46326977"}, {"ref": "ahmedmagdyhosney/text-classification-transformers", "kernel_id": "46464732"}, {"ref": "ahmedmagdyhosney/text-classification-word2vec", "kernel_id": "46361133"}, {"ref": "salemsbafjaish/text-classfication-assignment", "kernel_id": "46465977"}, {"ref": "salemsbafjaish/notebook73464967b8", "kernel_id": "46459604"}, {"ref": "salemsbafjaish/notebookc4a1421488", "kernel_id": "46458082"}, {"ref": "salemsbafjaish/text-classification-bow", "kernel_id": "46248999"}, {"ref": "abdullakhedr/text-classification", "kernel_id": "46460011"}, {"ref": "deeplearnerdl/textclassificationroberta", "kernel_id": "46377681"}, {"ref": "deeplearnerdl/textclassificationkeraslstm", "kernel_id": "46441726"}, {"ref": "abdulfattah1/notebook84ac184e54", "kernel_id": "47346599"}, {"ref": "shaima96/textclassification", "kernel_id": "47352964"}, {"ref": "wrebelz/popreview", "kernel_id": "48459449"}, {"ref": "mdismielhossenabir/text-classification-bag-of-words", "kernel_id": "49059761"}, {"ref": "prawn33/bow-training-with-ml-techniques", "kernel_id": "49154751"}, {"ref": "amirmohammadparvizi/bag-of-words-meets-bags-of-popcorn", "kernel_id": "50694610"}, {"ref": "iyasha/bag-of-words-meets-bags-of-popcorn", "kernel_id": "50713565"}, {"ref": "nitin16aug/comp2-movie-review", "kernel_id": "51150341"}, {"ref": "gunjan2509/lstm-sentiment-analysis", "kernel_id": "52031707"}, {"ref": "nadezhda2019/imdb-prediction", "kernel_id": "54175624"}, {"ref": "lukadarsalia/rnn-sentiment-analyzer", "kernel_id": "54142082"}, {"ref": "rezigogichaishvili/notebookca83716a36", "kernel_id": "54347073"}, {"ref": "thoolihan/tfidf-classifier", "kernel_id": "55904223"}, {"ref": "chairchandler/bag-of-words-v1-tfidf", "kernel_id": "55312061"}, {"ref": "nadezhda2019/text-analysis", "kernel_id": "55872172"}, {"ref": "randafci/rnn-section-7", "kernel_id": "55571721"}, {"ref": "abdullatifkaban/bag-of-words-meets-bags-of-popcorn", "kernel_id": "56157200"}, {"ref": "jamessuryaputra/to-reel-or-not-to-reel", "kernel_id": "56802983"}, {"ref": "chairchandler/bag-of-words-v2-semi-supervised", "kernel_id": "57017787"}, {"ref": "doaaelgheny/rnn-section-7", "kernel_id": "57121052"}, {"ref": "oleksiivalitov/binary-sentiment-analysis-rnn-pytorch", "kernel_id": "58055772"}, {"ref": "wangkongqiang/word2vec-nlp-tutorial", "kernel_id": "58100605"}, {"ref": "gabrieldsl/bag-of-words-preprocessing-comparison", "kernel_id": "58386347"}, {"ref": "miaoiaoaoa/notebook861702e7a8", "kernel_id": "59046963"}, {"ref": "ruturajdaphal/movie-review", "kernel_id": "60787672"}, {"ref": "shunlm/notebook-datascience", "kernel_id": "61114930"}, {"ref": "kodurd/the-tone-of-the-text", "kernel_id": "61274180"}, {"ref": "anfoxy/nlp-train-1", "kernel_id": "61668190"}, {"ref": "nakasukeabc/notebookf518a89642", "kernel_id": "61340556"}, {"ref": "soosmann/sentiment-analysis-with-lstm-90-accuracy", "kernel_id": "62759706"}, {"ref": "takoyaki0917/notebook-datascience", "kernel_id": "62743781"}, {"ref": "sccollection/reviews-87", "kernel_id": "63339564"}, {"ref": "shahbodsobhkhiz/bert-movie-review-sentiment-analysis", "kernel_id": "65052504"}, {"ref": "ahmedmostafadora/sentiment-classification-using-word2vec-svc", "kernel_id": "66881648"}, {"ref": "omaramir2001/bag-of-words-meets-bags-of-popcorn", "kernel_id": "66618717"}, {"ref": "alexre0818/imdb-deberta-lora", "kernel_id": "67971323"}, {"ref": "alexre0818/imdb-lstm", "kernel_id": "67196462"}, {"ref": "saurabhsethiya08/tf-idf-bigram", "kernel_id": "68487058"}, {"ref": "letuanvu44/nlp-bag-of-words", "kernel_id": "68815445"}, {"ref": "alperugurca/bag-of-words-meets-bags-of-popcorn", "kernel_id": "69256961"}, {"ref": "nhathoang1202/nlp-project1", "kernel_id": "69119002"}, {"ref": "nhathoang1202/nlp-assignment", "kernel_id": "69147208"}, {"ref": "raeedabdu/nlp-project1", "kernel_id": "70504545"}, {"ref": "mehreenmubashar/text-classification-roberta", "kernel_id": "70901546"}, {"ref": "maishaidaralkhateeb/mais-popcorn-v0", "kernel_id": "70807589"}, {"ref": "hindabdalla/text-classification-assignment", "kernel_id": "70596964"}, {"ref": "raeedabdumohammed/raeed-alsabri-text-classification", "kernel_id": "70736233"}, {"ref": "muhammadaqib88621/210088621-text-classification-bow-assignment-adl", "kernel_id": "70389118"}, {"ref": "alra67681/text-classification", "kernel_id": "70916391"}, {"ref": "alra67681/text-classification-assig-210067681", "kernel_id": "70881725"}, {"ref": "asma130/text-classification-asma", "kernel_id": "71541791"}, {"ref": "aldhubri/notebook5d05e232c7", "kernel_id": "71766391"}, {"ref": "aftabashrafav/nlp-assignment", "kernel_id": "71534532"}, {"ref": "abdullahelkawakjy/text-classification-using-bert", "kernel_id": "71778584"}, {"ref": "darinapauk/fork-of-notebookff0c653112", "kernel_id": "71458631"}, {"ref": "darinapauk/notebookff0c653112", "kernel_id": "71455716"}, {"ref": "abdulazizalnaimi/notebook5d05e232c7", "kernel_id": "71671964"}, {"ref": "abdulazizalnaimi/notebookc5bababc41", "kernel_id": "71706348"}, {"ref": "loujaienelsherbiny/text-classification-assignment", "kernel_id": "71773029"}, {"ref": "jalkuwari/text-classification-assignment", "kernel_id": "71406203"}, {"ref": "jalkuwari/text-classification-assignment-v2", "kernel_id": "71770788"}, {"ref": "maryamalmarri/textclassification-maryam", "kernel_id": "71765811"}, {"ref": "ar33ba/text-classification-adl", "kernel_id": "71425788"}, {"ref": "asmarida/notebookf8d58ca3b2", "kernel_id": "71444911"}, {"ref": "saadaal/text-classification-210068351", "kernel_id": "71712871"}, {"ref": "eimanmohammed1/eman-text-3", "kernel_id": "71176879"}, {"ref": "eimanmohammed1/text-classification-eman", "kernel_id": "71125854"}, {"ref": "munaalsulaiti/notebookpopcorn", "kernel_id": "71638558"}, {"ref": "maisalkhateeb/mais-popcorn-v3", "kernel_id": "71773046"}, {"ref": "ishhbku/text-classification", "kernel_id": "71564365"}, {"ref": "maisalokla/mais-popcorn-v2", "kernel_id": "71348624"}, {"ref": "maisalokla/mais-popcorn-v1", "kernel_id": "71259676"}, {"ref": "iish123/notebook608e5ac9c4", "kernel_id": "71616447"}, {"ref": "fatmaalsyed/eman3-text-classification", "kernel_id": "71176751"}, {"ref": "isha3311/text-2", "kernel_id": "71640738"}, {"ref": "fha123/text-classification-fatma4", "kernel_id": "71234441"}, {"ref": "fha123/fatima-text-classification", "kernel_id": "71018816"}, {"ref": "fha123/text-classification-f", "kernel_id": "71018156"}, {"ref": "khannoaman210088609/adlassignment-bert210088609", "kernel_id": "71134102"}, {"ref": "khannoaman210088609/bertassignmentadl210088609", "kernel_id": "71035889"}, {"ref": "maisalokla/mais-popcorn-v3", "kernel_id": "72251119"}, {"ref": "serhiiyanovskii1/sol-best", "kernel_id": "75584287"}, {"ref": "manavkhambhayata/learn-along-with-me-building-finetuning-bilstm", "kernel_id": "77941830"}, {"ref": "ananya12verma/nlp-bagofwords", "kernel_id": "77942435"}, {"ref": "nadezhda2019/random-forest-imdb-prediction", "kernel_id": "80886708"}, {"ref": "nadezhda2019/imdb-classification-86-by-bert", "kernel_id": "81115860"}, {"ref": "nadezhda2019/transformers", "kernel_id": "81089355"}, {"ref": "lele25811/bag-of-words-meets-bags-of-popcorn-notebook", "kernel_id": "81723773"}, {"ref": "jann188810/bags-of-popcorn-bow", "kernel_id": "83441592"}, {"ref": "dennisfang/notebook2d40c9ac6d", "kernel_id": "83483986"}, {"ref": "artemis1230/sentiment-analysis-part-i", "kernel_id": "83544543"}, {"ref": "bilgingunes/bag-of-words-meets-bags-of-popcorn", "kernel_id": "84224787"}, {"ref": "oguztoy/sentiment", "kernel_id": "86355588"}, {"ref": "amineipad/bagpopcorn", "kernel_id": "87495623"}, {"ref": "xiangli1986/movie-reviews-any-sarcasm", "kernel_id": "87052783"}, {"ref": "davideandreoli/imdb-sentiment-analysis", "kernel_id": "89297489"}, {"ref": "aritropal/word2vec-with-ngram-tf-idf", "kernel_id": "92385731"}, {"ref": "yuexunw/2222222", "kernel_id": "93656665"}, {"ref": "aminesouid/bert-avanc", "kernel_id": "95768253"}, {"ref": "aminesouid/bert-1", "kernel_id": "95767428"}, {"ref": "wjhgfd/bag-of-words-meets-bags-of-popcorn2", "kernel_id": "96018471"}, {"ref": "nikodud/notebookc81f9bb0aa", "kernel_id": "96912428"}, {"ref": "niko10086/lstm-attn-embedding", "kernel_id": "98926495"}, {"ref": "fahadalobaidly/bag-of-words-meets-bags-of-popcorn", "kernel_id": "102982600"}, {"ref": "handeharmankaya/bag-of-words-meets-bags-of-popcorn", "kernel_id": "102563261"}, {"ref": "yiyoufang/bag-of-words-lstm-and-glove", "kernel_id": "102641849"}, {"ref": "ashenn/bag-of-words-meets-bags-of-popcorn-bb306c", "kernel_id": "103067189"}, {"ref": "munishgoel/imdb-model", "kernel_id": "103467682"}, {"ref": "fahadalobaidly/bag-of-words-meets-bags-of-popcorn-team-2", "kernel_id": "103083598"}, {"ref": "qiongzhu1/zhuqiong-imdb-word2vec-rf-bilstm", "kernel_id": "107949519"}, {"ref": "neelpavale/bag-of-popcorn", "kernel_id": "107063191"}, {"ref": "phiduyanh/word2vec-tf-idf-xgboost-sentiment-analysis", "kernel_id": "108803356"}, {"ref": "leyuzakoksoken/imdb-sentiment-analysis-nlp-tf-idf-popcorn", "kernel_id": "108250444"}, {"ref": "jmtan0/tutorial-for-gensim-4-version", "kernel_id": "109325206"}, {"ref": "ericemerich/bag-of-words-meets-bags-of-popcorn-xgbclassifier", "kernel_id": "111905824"}, {"ref": "jalesummak/imdb-movie-reviews-nlp-classification", "kernel_id": "111777895"}, {"ref": "nihalba/bag-of-words-meets-bags-of-popcorn", "kernel_id": "114711736"}, {"ref": "tugcebasyigit/bag-of-words-meets-bags-of-popcorn-nlp", "kernel_id": "116689489"}, {"ref": "basaktamer/bag-of-words-meets-bags-of-popcorn", "kernel_id": "119102453"}, {"ref": "sz0kaggle/notebook81ddd34c21", "kernel_id": "120546788"}, {"ref": "xiaoyilee1/bag-of-words-meets-bags-of-popcorn", "kernel_id": "124082263"}, {"ref": "kurtmeehan/movie-meter-imdb-sentiment-with-tf-idf", "kernel_id": "130366189"}, {"ref": "jiatyan/bert-bag-of-words-meets-bags-of-popcorn", "kernel_id": "133097142"}]}
{"competition_id": "3973", "kernels": []}
{"competition_id": "3978", "kernels": [{"ref": "esa2018/access-plankton-data-in-zip-files", "kernel_id": "14778396"}, {"ref": "dawool1218/bowl-dl-p", "kernel_id": "14483446"}, {"ref": "kimberlytyz/plankthonnn", "kernel_id": "17734871"}, {"ref": "sagnik1511/plankton-classification-pytorch", "kernel_id": "20520147"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "denisrtyhb/notebookd6f0894c88", "kernel_id": "72060662"}, {"ref": "baglaribr/national-data-science-bowl-image-classification", "kernel_id": "87793325"}, {"ref": "hngcclth/plankton-classification-pytorch", "kernel_id": "94702275"}, {"ref": "r0shann/plankton-classification-pytorch", "kernel_id": "96751927"}, {"ref": "divyakumarii1314/plankton-identification", "kernel_id": "102855303"}, {"ref": "madhav1401/dl-assignment", "kernel_id": "102997476"}]}
{"competition_id": "3984", "kernels": [{"ref": "tarunaryyan/imputation-for-missing-values-in-features", "kernel_id": "3871207"}, {"ref": "jamesmcguigan/tradeshift-profilereport-eda", "kernel_id": "15174442"}, {"ref": "rohanrao/datatableton-capstone-projects-solutions", "kernel_id": "18964561"}]}
{"competition_id": "3987", "kernels": []}
{"competition_id": "4000", "kernels": []}
{"competition_id": "4004", "kernels": []}
{"competition_id": "4024", "kernels": []}
{"competition_id": "4031", "kernels": [{"ref": "nickfecondo/levin-telematics-eda", "kernel_id": "55867451"}]}
{"competition_id": "4032", "kernels": [{"ref": "stephenfenel/chess-elo-predictor", "kernel_id": "12439504"}, {"ref": "eduardtenche/finding-elo-tenche-eduard-ki", "kernel_id": "58312356"}]}
{"competition_id": "4037", "kernels": []}
{"competition_id": "4043", "kernels": [{"ref": "omarelzeniny/bci-project", "kernel_id": "73450715"}, {"ref": "aabhajalan/bci-challenge", "kernel_id": "90751091"}, {"ref": "fighter195/notebook9a22d448ed", "kernel_id": "93425925"}]}
{"competition_id": "4050", "kernels": []}
{"competition_id": "4054", "kernels": []}
{"competition_id": "4066", "kernels": [{"ref": "jtrotman/beautiful-mania-2015", "kernel_id": "8206238"}]}
{"competition_id": "4080", "kernels": []}
{"competition_id": "4104", "kernels": [{"ref": "benhamner/python-default-script", "kernel_id": "11932"}, {"ref": "benhamner/r-default-script", "kernel_id": "11933"}, {"ref": "benhamner/julia-default-script-4", "kernel_id": "11934"}, {"ref": "benhamner/sample-images", "kernel_id": "11907"}, {"ref": "kmader/vgg16-640hr-nloss-retinopathy", "kernel_id": "974349"}, {"ref": "kmader/tf-data-tutorial-with-retina-and-keras", "kernel_id": "962213"}, {"ref": "kmader/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "894686"}, {"ref": "kmader/food-vgg16-attention", "kernel_id": "982034"}, {"ref": "mypredictivefarm/notebook-1a91e8a680614c3042de", "kernel_id": "77839"}, {"ref": "mypredictivefarm/notebook-504f0a02e96acf68f768", "kernel_id": "66768"}, {"ref": "alfrandom/data-visualization", "kernel_id": "231113"}, {"ref": "madraziw/notebook50b863988a", "kernel_id": "215288"}, {"ref": "madraziw/notebook8af63e73f4", "kernel_id": "215290"}, {"ref": "madraziw/notebookf3bfc01e24", "kernel_id": "215301"}, {"ref": "madraziw/notebooka89364ab30", "kernel_id": "216189"}, {"ref": "madraziw/notebookec5532c8c0", "kernel_id": "211176"}, {"ref": "madraziw/notebook24dba6c259", "kernel_id": "211182"}, {"ref": "berwin/notebook2401bd5e4f", "kernel_id": "107958"}, {"ref": "ghostintheshell/notebook-2e43c039c10fa813e6bd", "kernel_id": "68333"}, {"ref": "meyoung/notebookbf222266d1", "kernel_id": "92196"}, {"ref": "meanku/notebook-9bebe9868b77cafce54d", "kernel_id": "31358"}, {"ref": "rhawiz/llllllll", "kernel_id": "43196"}, {"ref": "ktugan/notebook-10eb421f96cd97409660", "kernel_id": "24047"}, {"ref": "nathanelbaz/notebook8ab755537a", "kernel_id": "243110"}, {"ref": "abbasi/notebook5dc0c3c72c", "kernel_id": "135049"}, {"ref": "sajagsasa/notebook-56d73ceb8487238f3d6a", "kernel_id": "29860"}, {"ref": "sajagsasa/scripts-enabled-on-diabetic-retinopathy", "kernel_id": "12608"}, {"ref": "didacroyo/notebook9a400cd319", "kernel_id": "181687"}, {"ref": "salmansayed30/asdasdasd", "kernel_id": "20718"}, {"ref": "yofi01/notebook-aae0d2e7820178b837b9", "kernel_id": "28387"}, {"ref": "champagnecharlie/notebook-f529b33aac8fcd5534af", "kernel_id": "23527"}, {"ref": "ayank77/college-work", "kernel_id": "248232"}, {"ref": "ayank77/notebook79efa2d8e6", "kernel_id": "248134"}, {"ref": "ayank77/notebook901ffa8f8e", "kernel_id": "248534"}, {"ref": "ayank77/fork-of-college-work", "kernel_id": "248282"}, {"ref": "ayank77/notebooke2c9e0ee50", "kernel_id": "248329"}, {"ref": "ayank77/notebooka738ef03bd", "kernel_id": "245791"}, {"ref": "bberkovits/scripts-enabled-on-diabetic-retinopathy", "kernel_id": "30573"}, {"ref": "bberkovits/notebook-d8d12c4f358ad8a32b0c", "kernel_id": "30574"}, {"ref": "ganeshjcs/notebook-a6639447e0a4f9a3ca90", "kernel_id": "50813"}, {"ref": "samhitap/notebook-13bf95a8f2382f526cc8", "kernel_id": "54119"}, {"ref": "jihyeseo/retina-diabetic-detect-eda-regress", "kernel_id": "958533"}, {"ref": "bhaghighi/notebook96c50734eb", "kernel_id": "119925"}, {"ref": "forrestrg/notebook0cf8cd40dc", "kernel_id": "114720"}, {"ref": "stephenalex2001/notebook-f6cebc8d40871f0f53e1", "kernel_id": "61612"}, {"ref": "stephenalex2001/scripts-enabled-on-diabetic-retinopathy", "kernel_id": "61616"}, {"ref": "wsyeda/testimage2", "kernel_id": "72735"}, {"ref": "defengzh/notebook-d730c727638c9577e7bc", "kernel_id": "80288"}, {"ref": "rdebbe/retinopathy-for-kicks", "kernel_id": "96377"}, {"ref": "zhixiaochen/notebook-2e6aa02e0f11a443b830", "kernel_id": "83882"}, {"ref": "scp173/notebook3edeb57045", "kernel_id": "200063"}, {"ref": "meyoung99/notebook9920edbd12", "kernel_id": "90374"}, {"ref": "chirag1992m/notebookaaf213ce81", "kernel_id": "125345"}, {"ref": "irishair/notebook7466a69bba", "kernel_id": "99861"}, {"ref": "irishair/notebooke93f8405f6", "kernel_id": "100046"}, {"ref": "leizhangtech/notebook77fc79b6e3", "kernel_id": "102531"}, {"ref": "premshah/notebookfcd805d1a6", "kernel_id": "229900"}, {"ref": "premshah/fine-tunning-vgg16", "kernel_id": "230302"}, {"ref": "nelegerrits/notebookba292b1793", "kernel_id": "113979"}, {"ref": "nelegerrits/notebook55ca355b9d", "kernel_id": "103878"}, {"ref": "rajanathan/notebook28b42a00cc", "kernel_id": "115390"}, {"ref": "blqxjtu/notebook6cd53bce41", "kernel_id": "147907"}, {"ref": "wh1992/notebook4afcbd3815", "kernel_id": "152465"}, {"ref": "zhicheng/notebookc475e0e6b3", "kernel_id": "220881"}, {"ref": "fattouna/notebook4d11689e08", "kernel_id": "169033"}, {"ref": "kkk2yyy/college-work", "kernel_id": "259717"}, {"ref": "ramya24/notebook0daa725e03", "kernel_id": "222610"}, {"ref": "madchang/notebookf6c7f658cc", "kernel_id": "215313"}, {"ref": "gufranmirza/retinopathy", "kernel_id": "442151"}, {"ref": "kushal98/downloading-images", "kernel_id": "1841517"}, {"ref": "tanumoynandy/diabeticretinopathyvgg16-finetuning", "kernel_id": "1916101"}, {"ref": "meenavyas/diabetic-retinopathy-detection", "kernel_id": "1229643"}, {"ref": "phyorch/mathematical-method-finproject", "kernel_id": "1048583"}, {"ref": "bhargavbhatt/project-work", "kernel_id": "1392827"}, {"ref": "singh878/inceptionv3-for-retinopathy-gpu-hr-1a2fe1", "kernel_id": "1723699"}, {"ref": "singh878/diabetic-ratinopathy", "kernel_id": "1600329"}, {"ref": "simonandersen/fast-ai-lesson-1-diabetic-retinopathy", "kernel_id": "1607572"}, {"ref": "viniciusaraujo/inceptionv3-for-retinopathy-lime-or-shap", "kernel_id": "1643704"}, {"ref": "viniciusaraujo/inceptionv3-for-retinopathy-gpu-hr-d82fb7", "kernel_id": "1831099"}, {"ref": "lrasmy/apply-fast-ai-lesson-1-on-diab-ret-lr", "kernel_id": "1576649"}, {"ref": "kmader/food-train-vgg16-from-scratch", "kernel_id": "2705848"}, {"ref": "tanlikesmath/diabetic-retinopathy-with-resnet50-oversampling", "kernel_id": "2918821"}, {"ref": "thirupathipattipaka/kfoldcrossvalidation", "kernel_id": "2508866"}, {"ref": "kevinyang372/diabetic-retinopathy-detection-cnn", "kernel_id": "2740605"}, {"ref": "vardayinii/retinopathy", "kernel_id": "2677892"}, {"ref": "munchic/these-red-eyes", "kernel_id": "2741918"}, {"ref": "arghyadeepdas/diabetic-retinopathy", "kernel_id": "2378939"}, {"ref": "amitasr/diabetic-retinopathy-detection", "kernel_id": "2418269"}, {"ref": "sohaibanwaar1203/hyperparameter-tunning-and-cnn-visualization", "kernel_id": "2472950"}, {"ref": "sushant36/diabetic-retinopathy", "kernel_id": "2402192"}, {"ref": "montjoile/diabetic-retinopathy-detection", "kernel_id": "3322844"}, {"ref": "anthonymiyoro/tf-data-tutorial-with-retina-and-keras", "kernel_id": "3690853"}, {"ref": "anthonymiyoro/visual-diabetes-tensorflow-2-0", "kernel_id": "3765735"}, {"ref": "enasmudher/fork-of-fork-of-final-dr-inceptionresnetv-f34c84", "kernel_id": "3750579"}, {"ref": "naveen1113/diabetic-retinopathy-detection", "kernel_id": "3437760"}, {"ref": "chaitralil/dataaug", "kernel_id": "3806331"}, {"ref": "chaitralil/inceptionv1", "kernel_id": "3035579"}, {"ref": "sohaibanwaar1203/drd-c-vgg16", "kernel_id": "3658244"}, {"ref": "dutianze/inception", "kernel_id": "3709562"}, {"ref": "kaggle2019datase/college-work-412f7f", "kernel_id": "3277624"}, {"ref": "nallanasivadeep/diabetic-retinopathy-detection", "kernel_id": "3440302"}, {"ref": "kmader/attention-inceptionv3-for-blindness", "kernel_id": "4896201"}, {"ref": "adkarhe/blindness-detection", "kernel_id": "4558534"}, {"ref": "mitramishra93/diabetic-retinopathy-detection-cnn", "kernel_id": "4129777"}, {"ref": "donkeys/looking-in-the-eyes-of-past-and-present", "kernel_id": "4568445"}, {"ref": "prakashdbhagat/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "4625942"}, {"ref": "khayashima/pytorch-eda-and-augmentation-v1", "kernel_id": "4576559"}, {"ref": "mayankkestwal10/aptos-diabetic-retinopathy", "kernel_id": "4576737"}, {"ref": "akash2sharma/aptos-keras-starter-densenet", "kernel_id": "4700139"}, {"ref": "amitasr/kernel4d37e6ad35", "kernel_id": "4085195"}, {"ref": "rushabhvasani24/resnet101-using-only-this-competition-s-data", "kernel_id": "4814952"}, {"ref": "tahmina011/diabetic-retinopathy-detection-cnn", "kernel_id": "4029213"}, {"ref": "juliakt/downloading-images-in-grayscale", "kernel_id": "4841959"}, {"ref": "huinicole/clark-final-project", "kernel_id": "4736815"}, {"ref": "geekforever/densenet-169-b5-pre-process-aug-adamopt", "kernel_id": "5355531"}, {"ref": "enasmudher/inceptionresnetv2-soft", "kernel_id": "5487740"}, {"ref": "mayankkestwal10/fast-ai-model-training", "kernel_id": "5056954"}, {"ref": "ratikvig/kernelcc5ae3f115", "kernel_id": "5431943"}, {"ref": "sergiomarchena/kernellab4-datascience", "kernel_id": "5863547"}, {"ref": "hirokazu12/capsnet-dr", "kernel_id": "5652045"}, {"ref": "coder98/diabetic-retinopathy-detection", "kernel_id": "6746914"}, {"ref": "shubhamkr120798/diabetic-retino-cnn", "kernel_id": "6481543"}, {"ref": "reeteshsingh/diabetic-retinopathy-using-pretrained-model", "kernel_id": "6544538"}, {"ref": "indronil2489/diabetic-retinopathy", "kernel_id": "7994287"}, {"ref": "weronikadeleuch/kernel2c88928837", "kernel_id": "7095658"}, {"ref": "vincycode/dr-note", "kernel_id": "8160840"}, {"ref": "grohith/retinopathy-detection-with-transfer-learning", "kernel_id": "8778815"}, {"ref": "intelecai/diabetic-retinopathy-detection-bronze-place", "kernel_id": "8581940"}, {"ref": "himanishahilan/diabetic-rectiopathy-detector-5a2217", "kernel_id": "8232984"}, {"ref": "farhankarim1/tf-data-tutorial-with-retina-and-keras", "kernel_id": "9726610"}, {"ref": "samhita2310/diabetic-retinopathy-using-cnn", "kernel_id": "9567484"}, {"ref": "karthikeya14/kernel-dr-dsp-pro", "kernel_id": "9337495"}, {"ref": "zzdyyy/kaggle-tf1-impletation-of-o-o-solution", "kernel_id": "10869516"}, {"ref": "sarasaid/kernel2433f71672", "kernel_id": "10669996"}, {"ref": "prasundatta/aptosblindness1", "kernel_id": "11523182"}, {"ref": "habibizadkhah/diabetic-retinopathy-detection-cnn", "kernel_id": "11524543"}, {"ref": "josecuellonavarro/diabeticretinopathyvgg16-finetuning", "kernel_id": "12612802"}, {"ref": "harugumo/resnet-dr", "kernel_id": "12234614"}, {"ref": "willarevalo/diabetic-retinopahty-densenet121-tfds", "kernel_id": "13841384"}, {"ref": "mahsahashemzadeh/diabetic-retinopathy-detection-cnn", "kernel_id": "13197782"}, {"ref": "karticamodi/notebookb722141e66", "kernel_id": "13403149"}, {"ref": "savarinjames/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "13153130"}, {"ref": "siddheshshelke/drd-nn-densenet169", "kernel_id": "15550728"}, {"ref": "siddheshshelke/drd-nn-mobilenetv2", "kernel_id": "15550410"}, {"ref": "siddheshshelke/drd-nn-densenet121", "kernel_id": "15550568"}, {"ref": "siddheshshelke/drd-nn-mobilenet", "kernel_id": "15550256"}, {"ref": "siddheshshelke/drd-nn-resnet101", "kernel_id": "15541212"}, {"ref": "siddheshshelke/drd-nn-vgg16", "kernel_id": "15541405"}, {"ref": "siddheshshelke/drd-nn-vgg19", "kernel_id": "15541574"}, {"ref": "siddheshshelke/drd-nn-inceptionv3", "kernel_id": "15541701"}, {"ref": "siddheshshelke/drd-nn-inceptionresnetv2", "kernel_id": "15541834"}, {"ref": "siddheshshelke/drd-nn-resnet50", "kernel_id": "15540459"}, {"ref": "siddheshshelke/drd-cnn-layers", "kernel_id": "15550917"}, {"ref": "siddheshshelke/deep-feature-extraction-drd", "kernel_id": "15449437"}, {"ref": "siddheshshelke/cnn-hyperparameter-tuning", "kernel_id": "15245454"}, {"ref": "sushantkaushal/capsule-network", "kernel_id": "15485712"}, {"ref": "malathyraveendran/2nd-attempt", "kernel_id": "15023071"}, {"ref": "robiulcse12/notebook2c97e3a7cb", "kernel_id": "15572309"}, {"ref": "emadhussien/notebook47866fb588", "kernel_id": "16062078"}, {"ref": "siddheshshelke/gan-data-generation-drd", "kernel_id": "16043887"}, {"ref": "siddheshshelke/deep-feature-extraction-drd-2-classes", "kernel_id": "16550735"}, {"ref": "fanbyprinciple/pytorch-diabetic-retinopathy", "kernel_id": "17700618"}, {"ref": "gowrav143/drd-nn-mobilenetv2", "kernel_id": "17555973"}, {"ref": "rvignav/dr-fundus", "kernel_id": "17775596"}, {"ref": "shivansivakumaran/shivan-s-attempt", "kernel_id": "18635810"}, {"ref": "hellokevin/assign-1", "kernel_id": "19635920"}, {"ref": "makerlin/clip-test", "kernel_id": "20653468"}, {"ref": "drsubhrenduguhaneogi/dr-bibhavsir", "kernel_id": "20028139"}, {"ref": "farshadkordestani/diabetic-retinopathy-detection-cnn", "kernel_id": "22561342"}, {"ref": "sindhupriyak/ed-code", "kernel_id": "22154434"}, {"ref": "gowrav143/fork-of-fork-of-final-dr-inceptionresnetv-f34c84", "kernel_id": "23476314"}, {"ref": "cs03sindhupriyak/dr-cnn", "kernel_id": "24998586"}, {"ref": "rupeshachar/diabetic-retinopahty-densenet121-tfds", "kernel_id": "24257994"}, {"ref": "anushkaanthony/classify-diabetic-retinopathy-ensemble", "kernel_id": "25890772"}, {"ref": "sindhupriyak/dr-algorithm", "kernel_id": "25951507"}, {"ref": "kandulasundar/resnet50softmax", "kernel_id": "26809523"}, {"ref": "ikarosalpha/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "26180025"}, {"ref": "medzzaa/diabetic-retinopathy-with-resnet50-oversampling", "kernel_id": "26859293"}, {"ref": "avinashkira/pytorch-diabetic-retinopathy", "kernel_id": "26525391"}, {"ref": "poudelsagar/dr-cnn", "kernel_id": "27242535"}, {"ref": "alexanderyyy/retinopathy2015-2019-fastai2-2022", "kernel_id": "28306701"}, {"ref": "girish17019/diabetic-retinopathy-2015", "kernel_id": "29264589"}, {"ref": "rilnarejinold/mini-project", "kernel_id": "29088045"}, {"ref": "brijeshawasthi/inception-for-retinopathy-by-brijesh", "kernel_id": "30032078"}, {"ref": "yashkhare05/notebookb59b10b287", "kernel_id": "30220646"}, {"ref": "adwaithj/sample-code-4", "kernel_id": "30955149"}, {"ref": "bbueno5000/notebook332c619f97", "kernel_id": "31765274"}, {"ref": "saipranathi02/drd-nn-mobilenetv2", "kernel_id": "31880631"}, {"ref": "nikhileshdhotre/ps-diabetic", "kernel_id": "31879994"}, {"ref": "yanqinghuang/resnet50-attention-for-retinopathy", "kernel_id": "32543951"}, {"ref": "smsuhail/drd-nn-mobilenetv2", "kernel_id": "32200522"}, {"ref": "yajatmukhija/drd-nn-resnet50", "kernel_id": "32713527"}, {"ref": "yajatmukhija/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "32712864"}, {"ref": "mudasirshafi/resnet50-attention-for-retinopathy", "kernel_id": "32849017"}, {"ref": "neilerrandosutrisno/deep-learning-project", "kernel_id": "33118141"}, {"ref": "neilerrandosutrisno/deep-learning-project-new", "kernel_id": "33450663"}, {"ref": "nicholastj/deep-learning-project-versi-nic", "kernel_id": "33520882"}, {"ref": "areallthenamestaken/notebook02811a4d6f", "kernel_id": "34624079"}, {"ref": "saivinaypotluri/resnet50-attention-for-retinopathy", "kernel_id": "34877782"}, {"ref": "naim99/downloading-images", "kernel_id": "35295923"}, {"ref": "suriasarath/gnet-and-resnet", "kernel_id": "36522653"}, {"ref": "akashrayhan/transferlearning-efficientnetb3", "kernel_id": "36837687"}, {"ref": "vamsi30732/dabetic-retinopathy", "kernel_id": "36489475"}, {"ref": "mutlaqkhaledaljoudi/diabetic-retinopathy-detection-using-cnn", "kernel_id": "36926871"}, {"ref": "ruthranb/diabetic-retinopathy-aptos-dataset", "kernel_id": "36037020"}, {"ref": "zunoor/diabetic-retinopathy-eda", "kernel_id": "37695330"}, {"ref": "nevilmaloba/eyenetics-ml-model-for-dr", "kernel_id": "37858446"}, {"ref": "aadithehim/attack-1-tiger", "kernel_id": "37335787"}, {"ref": "zunoor/medical-dataset-classification-through-cnn-alex", "kernel_id": "38232837"}, {"ref": "vduytn/notebookfdfb4fd8fb", "kernel_id": "38808593"}, {"ref": "nayantarakkumar4/final-year-pw-model-test", "kernel_id": "39902002"}, {"ref": "vduytn/retinopathy-detection", "kernel_id": "39146541"}, {"ref": "mdshirajulislamkiron/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "40430539"}, {"ref": "jannatume/diabetic-retinopathy-prediction", "kernel_id": "40633121"}, {"ref": "srikarkusumanchi/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "41212516"}, {"ref": "kunalbainsla/grid-health", "kernel_id": "42293702"}, {"ref": "sneh2001/diabetic-retinopathy", "kernel_id": "42893431"}, {"ref": "mitabhay/major-project-dr-eyepacs", "kernel_id": "43896607"}, {"ref": "ranjitp20/drd-nn-resnet101", "kernel_id": "43467768"}, {"ref": "ranjitp20/drd-eda", "kernel_id": "43153691"}, {"ref": "jeffyoungjaelee/diabetic-retinopathy", "kernel_id": "43348931"}, {"ref": "atharvarajekmit/iomp-densenet121", "kernel_id": "44611009"}, {"ref": "tardigate/diabetic-retinopathy-eda-analysis", "kernel_id": "44836903"}, {"ref": "sakethreddy0701/dretino-cseds", "kernel_id": "44477992"}, {"ref": "raghadhassan/dr-cnn", "kernel_id": "44919820"}, {"ref": "rithyapisati/dr-fastai-library", "kernel_id": "45424800"}, {"ref": "raviiloveyou/seblock-mastery-diabetic-vision", "kernel_id": "45969980"}, {"ref": "yash5ingh/dr-project", "kernel_id": "45700791"}, {"ref": "owaiskhan9654/tf-data-tutorial-with-retina-and-keras", "kernel_id": "46917495"}, {"ref": "arunhirmukhe/diabetic-retinopathy-detection", "kernel_id": "46746519"}, {"ref": "adityabajaj03/dr-cnn", "kernel_id": "46315026"}, {"ref": "adityabajaj03/fork-of-dr-using-inception-v3", "kernel_id": "46247701"}, {"ref": "muhammadshaiqparacha/diabetic-retinopathy-detection", "kernel_id": "46902339"}, {"ref": "muneeb90568/diabetic-retinopathy-detection", "kernel_id": "46963888"}, {"ref": "sriramnagarajan/dr-algorithm", "kernel_id": "47104271"}, {"ref": "khadija1230/dr-cnn", "kernel_id": "47308269"}, {"ref": "sidhantrajj/diabetic-retinopathy-detection", "kernel_id": "47347259"}, {"ref": "ouafaaitouamer/dr-dl", "kernel_id": "47315469"}, {"ref": "ralphhara/diabetic-retinopathy-detection", "kernel_id": "47321160"}, {"ref": "arjupaudel/diabetic-retinopathy-det", "kernel_id": "47585437"}, {"ref": "gollashivateja/diabetic-retinopathy-detection", "kernel_id": "47106639"}, {"ref": "rohith2574/drd-nn-vgg19", "kernel_id": "48631545"}, {"ref": "arbaztahir/diabetic-retinopathy-detection", "kernel_id": "49866749"}, {"ref": "aneesahamedbaig/classification-of-eye-fundus-disease", "kernel_id": "50999430"}, {"ref": "assiaerguigue/segmentation", "kernel_id": "50262940"}, {"ref": "vaibhavkapoor01/diabetic-retinopathy-detection", "kernel_id": "50893443"}, {"ref": "srideepthivalavala/blindness", "kernel_id": "51687919"}, {"ref": "suhas1901/4-diacure-2-op", "kernel_id": "52168529"}, {"ref": "josephrynkiewicz/demo-retinopathy", "kernel_id": "53352403"}, {"ref": "muratbakirr/dr-cnn", "kernel_id": "53375051"}, {"ref": "podakantisatyajith/diabetic-retinopathy-detection", "kernel_id": "54628334"}, {"ref": "hugolemonnier/project-nn-melih-sahman-et-hugo-lemonnier", "kernel_id": "54071458"}, {"ref": "rajendirans/dieto-dr-version-2", "kernel_id": "56704358"}, {"ref": "juanfernando1234/tesis", "kernel_id": "59998919"}, {"ref": "hodajaouhari/nootbook-cham-dl", "kernel_id": "60785955"}, {"ref": "ttrett/diabeticretinopathydetection-cnn", "kernel_id": "60155640"}, {"ref": "ayushrathor/vgg19-retinopathy-detection", "kernel_id": "61343499"}, {"ref": "ayushrathor/mobilenet-retinopathy", "kernel_id": "61355710"}, {"ref": "rmprakashramanathan/diabetic-retino-pathy", "kernel_id": "63518673"}, {"ref": "mobinapoulaei/retinopathy-efficientnet", "kernel_id": "64923537"}, {"ref": "hsiehchuwei/diabeticretinopathydetection-using-vgg16", "kernel_id": "64008841"}, {"ref": "hsiehchuwei/cnn-based-detection-of-diabetic-retinopathy", "kernel_id": "64124539"}, {"ref": "nahiderrifai/dr-apprentissage", "kernel_id": "65098067"}, {"ref": "vasanthkumarch/inceptionv3-for-retinopathy-gpu-hr-d82fb7", "kernel_id": "65842730"}, {"ref": "theshobhitdas/diabetics-retinopathy", "kernel_id": "65689294"}, {"ref": "amitmandhana/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "66218503"}, {"ref": "akshayanasj/mydiabeticretinopathy", "kernel_id": "66662188"}, {"ref": "phmialong/deep-learning", "kernel_id": "67620261"}, {"ref": "ishitagupta247/dr-apprentissage", "kernel_id": "68108183"}, {"ref": "neetuaashi/cmi-classification-20-0-24", "kernel_id": "68147403"}, {"ref": "gialongphm/deep-learning-1", "kernel_id": "68014188"}, {"ref": "bolyphm/deep-learning", "kernel_id": "68035475"}, {"ref": "mdaniyaltariq/inceptionv3-for-retinopathy-gpu-hr-4c67fe", "kernel_id": "68071814"}, {"ref": "raheelasghar407/resnet50-attention-for-retinopathy", "kernel_id": "68526734"}, {"ref": "rmprakashramanathan/sridevi", "kernel_id": "69516041"}, {"ref": "msaqibsharif/dr-cnn-final", "kernel_id": "69818237"}, {"ref": "adithyalennzer/conformer-on-dr", "kernel_id": "70952840"}, {"ref": "mariokhouzam/master-gp", "kernel_id": "70172539"}, {"ref": "johnsparrow/for-sanjan", "kernel_id": "70900808"}, {"ref": "ahmedjabidhasan/eye-pack-v002", "kernel_id": "70450679"}, {"ref": "akarshsnair/conformer-on-dr", "kernel_id": "71052449"}, {"ref": "nextroot/data-visualization", "kernel_id": "72675648"}, {"ref": "krishnadeshpande2907/diabetic-retinopathy-1", "kernel_id": "73028108"}, {"ref": "binishmc123/diabeticretinopathydetection-using-vgg16", "kernel_id": "74135501"}, {"ref": "devvn7/dr-cnn-final", "kernel_id": "74686188"}, {"ref": "suryateja2211/dr-runs", "kernel_id": "75063140"}, {"ref": "ahmadscientist/eye-disease-detection-two", "kernel_id": "75029485"}, {"ref": "godwink14/daibetic-retinopathy", "kernel_id": "75197952"}, {"ref": "kalvakaushik/eyeq-dataset", "kernel_id": "77861947"}, {"ref": "naetkss1994/diabetic-retinopathy-with-resnet50-oversampling", "kernel_id": "78677249"}, {"ref": "sumresh/drsumresh", "kernel_id": "79964964"}, {"ref": "akp316/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "79974745"}, {"ref": "abdulrahmankhalaf24/data-aug", "kernel_id": "80303638"}, {"ref": "tiatarabay112/eece490-project", "kernel_id": "80330930"}, {"ref": "guleseharkhan/resnet50-model", "kernel_id": "81600798"}, {"ref": "guleseharkhan/cnn-model", "kernel_id": "81598664"}, {"ref": "suryateja2211/dr003-pr", "kernel_id": "81741263"}, {"ref": "ynvnghi/efficientnetb4", "kernel_id": "81900552"}, {"ref": "jinaneamal/demo-retinopathy", "kernel_id": "82840385"}, {"ref": "jinaneamal1/demo-retinopathy", "kernel_id": "82753066"}, {"ref": "aminizahra/dual-stage-retinal-image-analysis", "kernel_id": "83149486"}, {"ref": "phmialong/demo-datn", "kernel_id": "83772135"}, {"ref": "monsierpluie/cnn-model", "kernel_id": "83913170"}, {"ref": "gialongphm/datnfin", "kernel_id": "83797960"}, {"ref": "jinaneamal1/demo-retinopathydm", "kernel_id": "83911269"}, {"ref": "nishatnl/dr-detection-5bd646", "kernel_id": "84274909"}, {"ref": "gbbbbbbbb/v4-final-exam", "kernel_id": "84061370"}, {"ref": "gbbbbbbbb/v11-final-exam", "kernel_id": "84119599"}, {"ref": "sissiflo/dr-detection", "kernel_id": "84251526"}, {"ref": "shreyanshmanavshukla/dr-detection-xception", "kernel_id": "87930769"}, {"ref": "simochb/demo-retinopathy", "kernel_id": "87136167"}, {"ref": "shreyanshmanavshukla/dr-detection-convnext", "kernel_id": "88410336"}, {"ref": "shreyanshmanavshukla/dr-detection-resnet50", "kernel_id": "88403374"}, {"ref": "shreyanshmanavshukla/dr-detection-inception", "kernel_id": "88365402"}, {"ref": "shreyanshmanavshukla/dr-detection-mobilenet", "kernel_id": "88370158"}, {"ref": "shreyanshmanavshukla/dr-detection-vgg16", "kernel_id": "88356513"}, {"ref": "shreyanshmanavshukla/dr-detection-efficientnet", "kernel_id": "88208446"}, {"ref": "shreyanshmanavshukla/dr-detection-densenet", "kernel_id": "88133770"}, {"ref": "kinuthiajeff/retinotherapy", "kernel_id": "88757898"}, {"ref": "nguynvithoian/binet", "kernel_id": "88423805"}, {"ref": "abdhrubo/dr-detection-289726", "kernel_id": "89984600"}, {"ref": "kinuthiajeff/cnn-m-odel", "kernel_id": "89745632"}, {"ref": "elkhawaga/diabetic-retinopathy-detection-transfer-learning", "kernel_id": "89932290"}, {"ref": "soumiaboudchich/dr-detection-training", "kernel_id": "89105045"}, {"ref": "abdhrubo/latest-compatible-dc", "kernel_id": "90536799"}, {"ref": "abdhrubo/aptos-2019-densenet-keras-starter", "kernel_id": "90193911"}, {"ref": "shahrinhossain173/aptos-2019-densenet-keras-starter", "kernel_id": "90404941"}, {"ref": "mahaanushuyas/aptos-2019-densenet-keras-starter", "kernel_id": "91608916"}, {"ref": "hamzashakil123/daibetic-retinopathy", "kernel_id": "93164380"}, {"ref": "abhigna925/retinal", "kernel_id": "94282954"}, {"ref": "abhigna925/diabetic-retinopathy-detection-coe", "kernel_id": "94638528"}, {"ref": "abhigna925/retianl-progression", "kernel_id": "94578539"}, {"ref": "shulinagarwal/notebook9c6dc9b694", "kernel_id": "94018206"}, {"ref": "chauhanadityacse/eye-of-the-machine", "kernel_id": "95475470"}, {"ref": "psathyasaiaditya/daibetic-retinopathy", "kernel_id": "96374109"}, {"ref": "narendrandev/daibetic-retinopathy", "kernel_id": "99605803"}, {"ref": "anirudhkaushik8760/diabetic-retinopathy", "kernel_id": "100146349"}, {"ref": "aashirasad/daibetic-retinopathy-aeacf9", "kernel_id": "101448453"}, {"ref": "boumedienebelarbi/projet-m2", "kernel_id": "102374461"}, {"ref": "estherirenne/aol-ai-code", "kernel_id": "103718633"}, {"ref": "shashankpadamati/daibetic-retinopathy", "kernel_id": "103736445"}, {"ref": "rashikanegi/retinopathy", "kernel_id": "104768549"}, {"ref": "ziadbassem/the-dr-model-who-lived", "kernel_id": "104862171"}, {"ref": "nishat210605/diabetic-retinopathy", "kernel_id": "106856006"}, {"ref": "nicolaspereraniruroy/inceptionv3-for-retinopathy-gpu-hr", "kernel_id": "107260218"}, {"ref": "sethikamanumitha/diabetic-retinopathy-detection-notebook", "kernel_id": "110894695"}, {"ref": "robins20232027/claude", "kernel_id": "110656382"}, {"ref": "mshahadath/mamba-based-retinal-disease-diagnosis", "kernel_id": "110256449"}, {"ref": "yash2911/notebook61971238f6", "kernel_id": "111343602"}, {"ref": "mshahadath/fork-of-mamba-based-retinal-disease-diagnosis", "kernel_id": "111636352"}, {"ref": "hrushikeshhalge/notebook428708b032", "kernel_id": "111347464"}, {"ref": "hrushikeshhalge/deep-learning-1", "kernel_id": "111349378"}, {"ref": "abakarpoijsdw837290/fy-project", "kernel_id": "112028871"}, {"ref": "nitishkumarbiswalnkb/diabetic", "kernel_id": "112571801"}, {"ref": "uom220668b/notebookf719b21358", "kernel_id": "114758501"}, {"ref": "kepaarrizabalaga/lab4-ml", "kernel_id": "115841469"}, {"ref": "eyashili/retinopathy-training-notebook", "kernel_id": "116885232"}, {"ref": "sumitmondal2002/diabetic-retinopathy-detection", "kernel_id": "117956176"}, {"ref": "mahirratul/thesis", "kernel_id": "117512552"}, {"ref": "rawanalimm/efficientnets-for-diabetic-retinopathy-detection", "kernel_id": "117325398"}, {"ref": "dwaipyanghosh/diabetic-retinopathy-detection-209c77", "kernel_id": "118005484"}, {"ref": "sissiflo/notebook2d60335c16", "kernel_id": "119668542"}, {"ref": "khangcancode/15-6-2026-effnet-lid-downscalling", "kernel_id": "123066601"}, {"ref": "jaycejamesmayo/notebook3efad4a8a0", "kernel_id": "123785421"}, {"ref": "khangcancode/best-f1-model", "kernel_id": "124912229"}, {"ref": "lakshyagoogleceo/final-btp-binary-vit", "kernel_id": "128785454"}, {"ref": "sounounebah/03-retinopathy-advanced-training", "kernel_id": "129557430"}, {"ref": "purujitpiyalsana/second-dr-workflow", "kernel_id": "129812676"}, {"ref": "luisguerezebanga/preprocess-utils", "kernel_id": "129977188"}, {"ref": "luisguerezebanga/ccg-train", "kernel_id": "129982338"}, {"ref": "luisguerezebanga/eda-demo-retinopathy", "kernel_id": "129384021"}, {"ref": "luigiguerez/luigi-demo-retinopathy", "kernel_id": "129668667"}, {"ref": "samahbelbaki/02-modele-base-efficientnet-b4", "kernel_id": "132481465"}, {"ref": "samahbelbaki/03-ensembling-efficientnet-b5", "kernel_id": "132499462"}, {"ref": "samahbelbaki/01-cache-builder", "kernel_id": "132097734"}, {"ref": "aminesellami/drd-test", "kernel_id": "132582566"}, {"ref": "aminesellami/drd-train", "kernel_id": "132564680"}, {"ref": "sahityanerella/dr-dataset", "kernel_id": "133029717"}, {"ref": "reshmaaelango/reshmaa123456", "kernel_id": "133830369"}, {"ref": "abdurraufbhirawa296/dr-ai-01-data-audit", "kernel_id": "134830517"}, {"ref": "nguynhuythanh/klcn-fundus-gate-mobilenetv3", "kernel_id": "136290527"}]}
{"competition_id": "4107", "kernels": []}
{"competition_id": "4117", "kernels": [{"ref": "reynojames241/kernel270f15b9d0", "kernel_id": "2856370"}, {"ref": "paulrohan2020/microsoft-malware-detection-log-loss-of-0-0070", "kernel_id": "17764602"}, {"ref": "elemento/microsoft-malwareclassification", "kernel_id": "21205597"}, {"ref": "hyoungshickkim/microsoft-malware-detection-log-loss-of-0-0070", "kernel_id": "22028121"}, {"ref": "songwonmin/swm-malware-eng", "kernel_id": "24473440"}, {"ref": "mfarhan84/microsoft-malwareclassification", "kernel_id": "27449812"}, {"ref": "x75a40890/ms-malware-big-2015-0-0067-score", "kernel_id": "28261515"}, {"ref": "mindtrinket/simple-size-classification", "kernel_id": "30118768"}, {"ref": "junikki/ml-project-phase-2", "kernel_id": "31610081"}, {"ref": "dheemanthbhat/malware-classification-with-multiprocessing", "kernel_id": "33323024"}, {"ref": "fmakarem/malware-detection-microsoft-fm", "kernel_id": "35951008"}, {"ref": "pzcuong/federated-learning-client-2", "kernel_id": "37782830"}, {"ref": "pzcuong/federated-learning-client-1", "kernel_id": "37316015"}, {"ref": "hhbzhang/swm-malware-7512ae", "kernel_id": "42004011"}, {"ref": "vcetonurface/malware-anaylsis", "kernel_id": "44726038"}, {"ref": "asallaalsheyab/microsoft-malware-detection-log-loss-of-0-0070", "kernel_id": "48540796"}, {"ref": "wahajjavedalam/notebook0921c29b4b", "kernel_id": "57060516"}, {"ref": "chickenfalling/hydra-rebuild", "kernel_id": "58249451"}, {"ref": "sivamanikrishna/project", "kernel_id": "61894483"}, {"ref": "sachinkoirla/malware-detection", "kernel_id": "61659353"}, {"ref": "lordhim/malware", "kernel_id": "61660760"}, {"ref": "puspendrakumar77/microsoft-malware-classification-challenge-1", "kernel_id": "63765742"}, {"ref": "yasha02/microsoft-malware-detection-log-loss-of-0-0070", "kernel_id": "65041826"}, {"ref": "barneyclarke/malware-classification-comparison-xgboost-and-cnn", "kernel_id": "72125160"}, {"ref": "unc3rta1n/simple-size-classification", "kernel_id": "73392507"}, {"ref": "samhithas04/swm-malware-eng", "kernel_id": "80236507"}, {"ref": "dhanush22mc08/compsec1", "kernel_id": "80206459"}, {"ref": "jnathriksai/dlproject-1", "kernel_id": "81898359"}, {"ref": "yashvilasjadhav/microsoft-malware-detection-0-036-log-loss", "kernel_id": "82910015"}, {"ref": "udaykiranbandi/microsoft-malware-detection-0-057-log-loss", "kernel_id": "85798644"}, {"ref": "georgian86/malware-detection-and-classification", "kernel_id": "86270907"}, {"ref": "georgian86/malware-identification", "kernel_id": "86410785"}, {"ref": "georgian86/new-malware-classfication-ensemble", "kernel_id": "87326674"}, {"ref": "kenanghost/notebookb214a1890c", "kernel_id": "88167545"}, {"ref": "engrazizurrahman/new-malware-classfication-ensemble", "kernel_id": "88438974"}, {"ref": "siddharthchandel08/new-malware-classfication-ensemble", "kernel_id": "89464426"}, {"ref": "georgian86/two-stage-feature-engineering-for-classification", "kernel_id": "89439069"}, {"ref": "ivineshajikakkanat/project-1", "kernel_id": "91658464"}, {"ref": "keshavkartha/malware-preprocess", "kernel_id": "91693119"}, {"ref": "keshavkartha/malware-classification", "kernel_id": "91660838"}, {"ref": "oarisarebayet/malware-classification-final-report", "kernel_id": "102748085"}, {"ref": "tayybatariq/chunk0-lollipop-labeled2", "kernel_id": "104890767"}, {"ref": "tayybatariq/chunk1-lollipop-labeled2", "kernel_id": "104890881"}, {"ref": "tayybatariq/chunk0-lollipop-labeled4", "kernel_id": "104891048"}, {"ref": "tayybatariq/chunk1-lollipop-labeled4", "kernel_id": "104891104"}, {"ref": "tayybatariq/ramnit-labeling", "kernel_id": "104379246"}, {"ref": "tayybatariq/lollipop-labeled3", "kernel_id": "104440044"}, {"ref": "tayybatariq/lollipop-labeled4", "kernel_id": "104440071"}, {"ref": "tayybatariq/lollipop-labeled5", "kernel_id": "104440109"}, {"ref": "tayybatariq/lollipop-labeled2", "kernel_id": "104439940"}, {"ref": "tayybatariq/lollipop-labeled1", "kernel_id": "104439730"}, {"ref": "huzaifawaheed27/label-microsoft-big-data", "kernel_id": "104359943"}, {"ref": "huzaifawaheed27/label-second-family", "kernel_id": "104421227"}, {"ref": "ahmadmukrram/kelihos-ver3-chunck-1", "kernel_id": "104398587"}, {"ref": "f135t4/mao-oe", "kernel_id": "105552481"}, {"ref": "oarisarebayet/final-project-cn", "kernel_id": "105820023"}, {"ref": "huzaifawaheed27/gatak-labeled1", "kernel_id": "105005889"}, {"ref": "huzaifawaheed27/gatak-label3", "kernel_id": "105010650"}, {"ref": "ahmadmukrram/kelihos-ver3-chunck-2", "kernel_id": "105002373"}, {"ref": "ahmadmukrram/kelihos-ver3-chunck-3", "kernel_id": "105029175"}, {"ref": "ahmadmukrram/kelihos-ver3-chunck-4", "kernel_id": "105046206"}, {"ref": "syedabdullahmukrram/kelihos-ver3-chunck-0", "kernel_id": "105042745"}, {"ref": "exomukk/cnn-model", "kernel_id": "105685465"}, {"ref": "exomukk/microsoft-malware-cnn-preprocess", "kernel_id": "105552586"}, {"ref": "exomukk/cnn-t4-x2", "kernel_id": "105552054"}, {"ref": "nguynmjnk/ma-oe-p-c-t-s-ch-m-n", "kernel_id": "105979886"}, {"ref": "rosesnasso/notebook8e4b048564", "kernel_id": "106761127"}, {"ref": "exomukk/ensemble", "kernel_id": "106275557"}, {"ref": "nguynmjnk/notebook092fbcb708", "kernel_id": "106393284"}, {"ref": "hemandot/malware-classification", "kernel_id": "111766767"}, {"ref": "nhatnguyenhcmusk24/base-xgb", "kernel_id": "114961160"}, {"ref": "habao2603/fork-of-compthinking-pre-process-data-cb623a", "kernel_id": "114892262"}, {"ref": "vnhtbo/malwarecuathay", "kernel_id": "114761619"}, {"ref": "sunniepa/ai-for-security-project", "kernel_id": "114454632"}, {"ref": "swannessie/exp-00-grayscale-resnet50-3000-samples", "kernel_id": "114473564"}, {"ref": "solitudeshu/malware-classification-end-to-end-data-pipeline", "kernel_id": "114995773"}, {"ref": "janiceparkk/microsoft-malware-opcode-grouping-and-tokenization", "kernel_id": "114126535"}, {"ref": "pepcute/opcode-rgb-preprocessing", "kernel_id": "114884754"}, {"ref": "pepcute/grayscale-preprocessing", "kernel_id": "114945513"}, {"ref": "kanedev/exp-01-02-transfer-learning-baselines", "kernel_id": "114763225"}, {"ref": "dongquan/eb3-training", "kernel_id": "115155773"}, {"ref": "dongquan/eb4-training", "kernel_id": "115155813"}, {"ref": "lhuyhongphm/grad-cam", "kernel_id": "115540854"}, {"ref": "nhatnguyenhcmusk24/ensemble", "kernel_id": "115712153"}, {"ref": "habao2603/compthink-v3-5fold", "kernel_id": "115493394"}, {"ref": "sunniepa/big2015-image-preprocessed", "kernel_id": "115357025"}, {"ref": "sunniepa/failed", "kernel_id": "115153850"}, {"ref": "swannessie/exp-04-resnet50-xgboost-asm-ensemble", "kernel_id": "115541034"}, {"ref": "tienduck/test-data-ngr", "kernel_id": "115319042"}, {"ref": "nguynlminhqun/ms-mal-classification-hybrid-architecture", "kernel_id": "115658685"}, {"ref": "nguynlminhqun/ms-mal-classification-inference-submission", "kernel_id": "115659213"}, {"ref": "nguynlminhqun/ms-mal-classification-feature-engineering", "kernel_id": "115657554"}, {"ref": "nguynlminhqun/part4", "kernel_id": "115697472"}, {"ref": "nguynlminhqun/part3", "kernel_id": "115697487"}, {"ref": "nguynlminhqun/part2", "kernel_id": "115697077"}, {"ref": "azoncx/test2", "kernel_id": "115610144"}, {"ref": "bnthanh/malware-classification-xgboost-v4-2-cleaned", "kernel_id": "116431956"}, {"ref": "bnthanh/malware-classification-xgboost-v7-phase-1", "kernel_id": "116749387"}, {"ref": "nhatnguyenhcmusk24/22feat", "kernel_id": "116374079"}, {"ref": "swannessie/exp-05-optimized-byte-asm-xgboost-cv", "kernel_id": "116159365"}, {"ref": "huynhnguyensiu/malware-classification-xgboost-v7-phase-1", "kernel_id": "116750654"}, {"ref": "solitudeshu/malware-classification-resnet50-submit", "kernel_id": "116743617"}, {"ref": "solitudeshu/malware-classification-data-pipeline-resnet50", "kernel_id": "116485787"}, {"ref": "nguynlthanhhuy/malware-classification-data", "kernel_id": "116319108"}, {"ref": "nguynlthanhhuy/logistic-regression", "kernel_id": "116125063"}, {"ref": "hnlanh/xgboost-malware-classification", "kernel_id": "116630806"}, {"ref": "hnlanh/test-data-feature-malware-classification", "kernel_id": "116485367"}, {"ref": "azoncx/final", "kernel_id": "116425414"}, {"ref": "azoncx/test3", "kernel_id": "116331060"}, {"ref": "azoncx/half-fin", "kernel_id": "116373228"}, {"ref": "azoncx/notebook17ebe482fd", "kernel_id": "116058369"}, {"ref": "phuongnambui/part1", "kernel_id": "116595424"}, {"ref": "phuongnambui/solve", "kernel_id": "116709105"}, {"ref": "phuongnambui/classification", "kernel_id": "116426959"}, {"ref": "padduwcs/final-level-2-slsqp", "kernel_id": "116461673"}, {"ref": "thaonguyencute/getdata", "kernel_id": "116643523"}, {"ref": "boiboii326/2132fe-104a-44b", "kernel_id": "116487057"}, {"ref": "ngovietan/malware-classification-xgboost-v7-extract-test-zip", "kernel_id": "116777175"}, {"ref": "khanq1504/malware-training", "kernel_id": "117933901"}, {"ref": "jayvardhanvashishtha/malware-classification", "kernel_id": "118822685"}, {"ref": "dungngu/pha-d-frequen", "kernel_id": "118492645"}, {"ref": "dungngu/pha-d-frequence-first", "kernel_id": "118473903"}, {"ref": "vnhtbo/resnet50-mask", "kernel_id": "118440113"}, {"ref": "vnhtbo/eb3-xai", "kernel_id": "118436669"}, {"ref": "vnhtbo/gradcam-new", "kernel_id": "118474574"}, {"ref": "asifcohle/attention-guided-adaptive-deepsmote-gan-for-imbala", "kernel_id": "118610579"}, {"ref": "asifcohle/deepsmote-fusing-deep-learning-and-smote-for-imba", "kernel_id": "119476539"}, {"ref": "asifcohle/attention-guided-adaptive-deepsmote-gan", "kernel_id": "120437276"}, {"ref": "buswiryawanboenyamin/tubes-simkacer-benchmark", "kernel_id": "120658016"}, {"ref": "trangtranmin/demo-mmdf", "kernel_id": "123452029"}, {"ref": "vnhtbo/runtime-benchmark-pixel", "kernel_id": "126272038"}, {"ref": "vnhtbo/task2", "kernel_id": "126652333"}, {"ref": "vnhtbo/task3", "kernel_id": "126671472"}, {"ref": "shinkiisme/p01-extract-section-aware-tiles-sharded", "kernel_id": "127777551"}, {"ref": "shinkiisme/p00-build-manifest-and-shards", "kernel_id": "127777220"}, {"ref": "huylhn1810/swin-tiny-version-1", "kernel_id": "127978848"}, {"ref": "huylhn1810/dual-band-swin-tiny-resnet18-ver-1", "kernel_id": "127979090"}, {"ref": "huylhn1810/04-model-multiview-stacking-v3", "kernel_id": "127990427"}, {"ref": "huylhn1810/05-model-multiview-stacking-v4", "kernel_id": "127990531"}, {"ref": "pepcute/markov-rgb-preprocessing", "kernel_id": "127082986"}, {"ref": "thaonguyencute/malware-convert", "kernel_id": "127789025"}, {"ref": "thaonguyencute/malware-training", "kernel_id": "127976764"}, {"ref": "nguynthikhang/dual-band-swin-tiny-resnet18-5-folds-version-1", "kernel_id": "127981177"}, {"ref": "nguynhongdiumy/meta-stacking-tree-based-train", "kernel_id": "127984120"}, {"ref": "nguynhongdiumy/improved-training-ml-v5", "kernel_id": "127989350"}, {"ref": "rosetra/deit-version-1", "kernel_id": "127982144"}, {"ref": "rosetra/levit-192-ver1", "kernel_id": "127982272"}, {"ref": "lhongthyan/levit-384-version-1", "kernel_id": "127982609"}, {"ref": "lhongthyan/levit-384-version-2", "kernel_id": "127983052"}, {"ref": "hoangthinhxyz/efficientnetv2-big-2015-version-1", "kernel_id": "127983210"}, {"ref": "hoangthinhxyz/dual-band-convnext-tiny-efficientnetv2-s-ver2", "kernel_id": "127983574"}, {"ref": "tranduyminhdang/multiview-stacking-ml-ver-2", "kernel_id": "127989991"}, {"ref": "tranduyminhdang/03-model-multiview-stacking", "kernel_id": "127990107"}, {"ref": "trananhkhoa040206/improved-training-ml-final", "kernel_id": "127989747"}, {"ref": "trananhkhoa040206/multiview-stacking-ml-ver-1", "kernel_id": "127989849"}, {"ref": "t4lf4n/gari-doan1", "kernel_id": "127551295"}, {"ref": "hieuhuynhvan/extract-convert", "kernel_id": "128477278"}, {"ref": "hieuhuynhvan/malware-final-submit", "kernel_id": "128463608"}, {"ref": "yesenhuynh/final1", "kernel_id": "128004027"}, {"ref": "vnhtbo/pixel-video-demo", "kernel_id": "128094466"}, {"ref": "vnhtbo/reproduce-paper-tables", "kernel_id": "128095671"}, {"ref": "vnhtbo/resnet50-training-microsoft", "kernel_id": "128017865"}, {"ref": "vundle/malware-lqm-vl-fv", "kernel_id": "128305319"}, {"ref": "khanq1504/malware-training-final", "kernel_id": "128095128"}, {"ref": "khanq1504/malware-convert-final", "kernel_id": "128092241"}, {"ref": "huylhn1810/result-levit-192-ver3", "kernel_id": "128092572"}, {"ref": "huylhn1810/result-levit-192-ver1", "kernel_id": "128091546"}, {"ref": "huylhn1810/result-levit-192-ver2", "kernel_id": "128091592"}, {"ref": "huylhn1810/levit-192-ver3", "kernel_id": "128086258"}, {"ref": "huylhn1810/levit-192-ver2", "kernel_id": "128085876"}, {"ref": "huylhn1810/semi-supervised-heterogeneous-meta-stacking-v1", "kernel_id": "128194874"}, {"ref": "huylhn1810/test-fusion-probability-version-1", "kernel_id": "128190272"}, {"ref": "huylhn1810/xgb-fusion-dualnet-v1", "kernel_id": "128190623"}, {"ref": "huylhn1810/ensemble-with-pca-ver1", "kernel_id": "128190828"}, {"ref": "huylhn1810/ensemble-with-no-pca-ver1", "kernel_id": "128190838"}, {"ref": "huylhn1810/linear-stacking-v1", "kernel_id": "128189256"}, {"ref": "phuongnambui/train-model", "kernel_id": "128189511"}, {"ref": "nguynthikhang/ensemble-swin-tiny-resnet18", "kernel_id": "128185116"}, {"ref": "nguynthikhang/01-ratio-multiview-stacking-ml", "kernel_id": "128215863"}, {"ref": "nguynthikhang/fold-3-train-swin-tiny-resnet18", "kernel_id": "128098176"}, {"ref": "nguynthikhang/dual-band-swin-tiny-resnet18-version-2", "kernel_id": "128087086"}, {"ref": "nguynthikhang/fold-1-train-swin-tiny-resnet18", "kernel_id": "128087273"}, {"ref": "nguynthikhang/fold-2-train-swin-tiny-resnet18", "kernel_id": "128094438"}, {"ref": "nguynthikhang/fold-5-train-swin-tiny-resnet18", "kernel_id": "128132067"}, {"ref": "nguynthikhang/fold-4-train-swin-tiny-resnet18", "kernel_id": "128118163"}, {"ref": "nguynhongdiumy/02-extra-data-processing", "kernel_id": "128187412"}, {"ref": "nguynhongdiumy/data-processing-test-version-2-images", "kernel_id": "128185639"}, {"ref": "nguynhongdiumy/data-processing-v2-part-4", "kernel_id": "128185462"}, {"ref": "nguynhongdiumy/data-processing-train-version-2-images", "kernel_id": "128185492"}, {"ref": "nguynhongdiumy/meta-stacking-tree-based-data-test-process-part-1", "kernel_id": "128185774"}, {"ref": "nguynhongdiumy/improved-data-processing-v3", "kernel_id": "128185864"}, {"ref": "nguynhongdiumy/01-main-data-processing", "kernel_id": "128185958"}, {"ref": "nguynhongdiumy/meta-stacking-tree-based-submit", "kernel_id": "128097869"}, {"ref": "rosetra/02-ablation-multiview-stacking-ml", "kernel_id": "128211287"}, {"ref": "rosetra/01-root-multiview-stacking-ml", "kernel_id": "128210727"}, {"ref": "hoangthinhxyz/test-dual-band-convnext-tiny-efficientnetv2-s-ver1", "kernel_id": "128088008"}, {"ref": "tranduyminhdang/02-ablation-multiview-stacking-ml", "kernel_id": "128142604"}]}
{"competition_id": "4120", "kernels": [{"ref": "ozlerhakan/counting-eggs-in-the-age-of-robotic-chickens", "kernel_id": "2676125"}, {"ref": "xjy110906727697/ctr-whiter", "kernel_id": "4127521"}, {"ref": "akishen74/ctr-practice", "kernel_id": "10650621"}, {"ref": "jejutphyunchangwoo/logisticregression-practice-0815", "kernel_id": "11204796"}, {"ref": "pointerfly/easy-catboost", "kernel_id": "14199366"}, {"ref": "sagu123/ctr-analysis-ipynb", "kernel_id": "14260808"}, {"ref": "nuthje/assignment2", "kernel_id": "16698619"}, {"ref": "steveding/python-ml-by-example-c4-decisiontreeclassifier", "kernel_id": "16130812"}, {"ref": "yizhouwang10/click-through-rate-prediction-v1", "kernel_id": "16476537"}, {"ref": "chuangtcee/ctr-jason-ghtinc", "kernel_id": "16710728"}, {"ref": "rohanrao/datatableton-capstone-projects-solutions", "kernel_id": "18964561"}, {"ref": "nakshatramshreyas/ctr-final", "kernel_id": "18779402"}, {"ref": "nakshatramshreyas/ctr-prediction-nakshatram-shreyas", "kernel_id": "18058349"}, {"ref": "oluyemijegede/ctr-prediction-1", "kernel_id": "21115594"}, {"ref": "mayurrj95/ctr-final", "kernel_id": "25223056"}, {"ref": "lxkaggle/ccpm-avazu-ctr", "kernel_id": "26420377"}, {"ref": "yayadashone/ctr-learning-eh", "kernel_id": "27480116"}, {"ref": "leejunseok97/deepfm-deepctr-torch", "kernel_id": "27562816"}, {"ref": "scott12055/ctr-prediction", "kernel_id": "30654802"}, {"ref": "yujuiho/discription-analysis-result", "kernel_id": "30549409"}, {"ref": "yujuiho/model-result", "kernel_id": "30468002"}, {"ref": "warazubairkhan/mobile-advertisement-ctr", "kernel_id": "31900971"}, {"ref": "sharanharsoor/ctr-analysis-of-different-ml-models", "kernel_id": "34242602"}, {"ref": "shaochiehlin/avazu-ctrprediction-submission", "kernel_id": "35352214"}, {"ref": "finnsun/ctr-catboostclassifiers", "kernel_id": "35623606"}, {"ref": "braincai/0322-deepctr-difm", "kernel_id": "36313398"}, {"ref": "sajinpgupta/ads-ctr1", "kernel_id": "36114217"}, {"ref": "kankanj/deepctr", "kernel_id": "36564945"}, {"ref": "kankanj/click-through-rate", "kernel_id": "36556221"}, {"ref": "juanruzhang/ad-click-prediction", "kernel_id": "36696757"}, {"ref": "prernasinghiitkgp10/amrp-ctr", "kernel_id": "36958312"}, {"ref": "emxheena/ctr-prediction-simple-regression", "kernel_id": "38615379"}, {"ref": "makslachugin/notebookf9c632789d", "kernel_id": "38874190"}, {"ref": "makslachugin/notebookac19d0cc2e", "kernel_id": "38877398"}, {"ref": "beccaliu/ctr-prediction", "kernel_id": "39860175"}, {"ref": "simengsun/multiple-model-ml-project", "kernel_id": "40674375"}, {"ref": "yusufaslan/ctr-prediction-with-random-forest", "kernel_id": "42330081"}, {"ref": "norio0925/ctr-practice", "kernel_id": "45387962"}, {"ref": "egorandreasyan/click-through", "kernel_id": "45667538"}, {"ref": "tttrrraaahhh/easy-catboost", "kernel_id": "46150075"}, {"ref": "tttrrraaahhh/catboost-ctr", "kernel_id": "46264976"}, {"ref": "omarkaraf/nto-catboost-1", "kernel_id": "47154601"}, {"ref": "ryanlee4493/ctr-submission", "kernel_id": "47784226"}, {"ref": "piotrmichalek/tree-algorithms-for-ctr-prediction", "kernel_id": "49599161"}, {"ref": "piotrmichalek/logistic-regression-for-ctr-prediction", "kernel_id": "49797520"}, {"ref": "blingcc/ctr-practice-gbmver", "kernel_id": "50354376"}, {"ref": "suyishisu/ctr-practice", "kernel_id": "54762624"}, {"ref": "pansu13/study-ctr-practice", "kernel_id": "55021410"}, {"ref": "edwardsoenardi/ctr-eda", "kernel_id": "57585315"}, {"ref": "darrellcr/avazu-ctr-prediction-parquet", "kernel_id": "58546833"}, {"ref": "c14210099/progress-report-bda-group-d", "kernel_id": "58523849"}, {"ref": "c14210099/ctr-prediction", "kernel_id": "58012261"}, {"ref": "mjtchen/groundhog-takehome", "kernel_id": "59160817"}, {"ref": "r09521522/groundhog-ctr-prediction", "kernel_id": "60773109"}, {"ref": "c14210099/final-project-bda-svm-with-sgd-model-test", "kernel_id": "60123401"}, {"ref": "boruchen/notebookd01270dd0a", "kernel_id": "65536984"}, {"ref": "boruchen/notebook8d5b9728c8", "kernel_id": "65537568"}, {"ref": "avyaya/ml-alt-fin", "kernel_id": "67170588"}, {"ref": "avyaya/ctr-prediction11", "kernel_id": "67130692"}, {"ref": "avyaya/mlfinal", "kernel_id": "68705224"}, {"ref": "aniketkhandelwal07/income-based-naive-bayes-classifier", "kernel_id": "75442067"}, {"ref": "rraghavkaushik/notebook5bc89cd5f3", "kernel_id": "81272143"}, {"ref": "anushkashrmaa/ctr-prediction", "kernel_id": "85755581"}, {"ref": "timidaso/using-decision-tree-classifier", "kernel_id": "87143089"}, {"ref": "nupurskoli/ctr-prediction", "kernel_id": "94435743"}, {"ref": "vcsaisanthosh/ctr-evaluation", "kernel_id": "101407553"}, {"ref": "arapathak/ctr-prediction", "kernel_id": "109265969"}, {"ref": "hoangzy/ctr-test2-globalshuffle", "kernel_id": "118300645"}, {"ref": "hoangzy/ctr-test", "kernel_id": "118088907"}, {"ref": "hoangzy/test-ctr", "kernel_id": "121205612"}, {"ref": "songjunhan/mlexpc4", "kernel_id": "121875830"}, {"ref": "madisrinija/ctr-eda-and-prediction", "kernel_id": "122726144"}, {"ref": "madisrinija/lightgbm", "kernel_id": "123155399"}]}
{"competition_id": "4123", "kernels": []}
{"competition_id": "4125", "kernels": []}
{"competition_id": "4128", "kernels": [{"ref": "prakharrathi25/iterative-proker-hand-prediction", "kernel_id": "9427942"}, {"ref": "kenkpixdev/poker-comb-without-ml-model-accuracy-1-00", "kernel_id": "10519338"}, {"ref": "valeriisielikhov/100-pokerface", "kernel_id": "11541131"}, {"ref": "dkdkdkdkw/classifing-hands-simple-approach", "kernel_id": "46355108"}, {"ref": "abhinavvvvvvvvvv/poker-rule", "kernel_id": "55160096"}, {"ref": "earlpeterjg/poker-rule-induction-using-parallel-threading", "kernel_id": "117984897"}]}
{"competition_id": "4167", "kernels": []}
{"competition_id": "4172", "kernels": []}
{"competition_id": "4174", "kernels": []}
{"competition_id": "4175", "kernels": []}
{"competition_id": "4184", "kernels": []}
{"competition_id": "4193", "kernels": []}
{"competition_id": "4194", "kernels": []}
{"competition_id": "4195", "kernels": [{"ref": "benhamner/default-r-text", "kernel_id": "2695"}, {"ref": "mlandry/simple-benchmark-improvements", "kernel_id": "2729"}, {"ref": "mlandry/clean-display-of-individual-records", "kernel_id": "2929"}, {"ref": "sudalairajkumar/rainfall-histogram-plot", "kernel_id": "5621"}, {"ref": "sudalairajkumar/rainfall-of-rr1-percentile-bins", "kernel_id": "5622"}, {"ref": "jamesallen1/test-r", "kernel_id": "2814"}, {"ref": "devinanzelmo/log-histogram-of-label-values-version1", "kernel_id": "4601"}, {"ref": "devinanzelmo/fiddling-with-xgb", "kernel_id": "5454"}, {"ref": "devinanzelmo/component-cdf-s-and-sample-predictions", "kernel_id": "6583"}, {"ref": "devinanzelmo/kde-and-scatter-plot", "kernel_id": "6584"}, {"ref": "elenacuoco/splitmeandata-py", "kernel_id": "2737"}, {"ref": "tarachand/rainfall-of-rr1-percentile-bins", "kernel_id": "11010"}, {"ref": "arden2soul/sorry-don-t-run-running-out-of-ram", "kernel_id": "2855"}, {"ref": "jetheurer/liz-python", "kernel_id": "19650"}, {"ref": "jetheurer/liz-test", "kernel_id": "19648"}, {"ref": "yinghawl/notebook-93d0b484c5ba5442652f", "kernel_id": "22505"}, {"ref": "annavictoria/no-rain-no-gain-s-code", "kernel_id": "5540"}, {"ref": "tonmona/notebook-564df810ff23f5514a60", "kernel_id": "22939"}, {"ref": "anushac/rainfall-of-rr1-percentile-bins", "kernel_id": "20412"}, {"ref": "doooms/notebook-5ae54a3a6ff4eb268ac7", "kernel_id": "23437"}, {"ref": "robinetflorian/clean-display-of-individual-records", "kernel_id": "21352"}, {"ref": "jibybabu/rainfall-of-rr1-percentile-bins", "kernel_id": "30226"}, {"ref": "sruthis/notebook-4a2bc86a8320a31c3db1", "kernel_id": "23321"}, {"ref": "avijeetsingh1608/sorry-don-t-run-running-out-of-ram", "kernel_id": "22287"}, {"ref": "avijeetsingh1608/clean-display-of-individual-records1", "kernel_id": "22309"}, {"ref": "avijeetsingh1608/11122222", "kernel_id": "22310"}, {"ref": "devika14/notebook-c7a60219e1ee187470f9", "kernel_id": "48979"}, {"ref": "jihyeseo/rain-eda-need-to-unzip", "kernel_id": "957695"}, {"ref": "mcf171/notebookb0a53957ff", "kernel_id": "114264"}, {"ref": "suchith0312/predicting-rainfall", "kernel_id": "544573"}]}
{"competition_id": "4209", "kernels": []}
{"competition_id": "4265", "kernels": []}
{"competition_id": "4272", "kernels": [{"ref": "benhamner/random-forest-1", "kernel_id": "3107"}, {"ref": "benhamner/top-10-leaderboard-performance-over-time-1", "kernel_id": "1193"}, {"ref": "benhamner/boruta-random-forest-benchmark", "kernel_id": "480"}, {"ref": "benhamner/t-sne-restaurant-visualization", "kernel_id": "388"}, {"ref": "jbm1966/boruta-random-forest-benchmark", "kernel_id": "868"}, {"ref": "aiwagan/testing01", "kernel_id": "781"}, {"ref": "dchudz/r-starter-script-1", "kernel_id": "719"}, {"ref": "dchudz/python-starter-script", "kernel_id": "720"}, {"ref": "dchudz/rmarkdown-starter-script-5", "kernel_id": "748"}, {"ref": "soates/testing", "kernel_id": "554"}, {"ref": "drmjoseph/boruta-random-forest-benchmark-1", "kernel_id": "999"}, {"ref": "jeeban/top-10", "kernel_id": "1420"}, {"ref": "kunjal/sample1", "kernel_id": "823"}, {"ref": "kunjal/sample2", "kernel_id": "826"}, {"ref": "nileshkadam/explore-data", "kernel_id": "1305"}, {"ref": "kocman/notebook-bcdfac1a77214172627f", "kernel_id": "26260"}, {"ref": "olegnovikov/notebook-392418489460064d4fb1", "kernel_id": "72873"}, {"ref": "arsenal/geomap-for-average-revenue", "kernel_id": "1640"}, {"ref": "alejandrofoullon/t-sne-visualization-train-test-set-diff", "kernel_id": "1438"}, {"ref": "sahildahiya/boruta-random-forest-benchmark", "kernel_id": "483"}, {"ref": "paulperry/boruta-random-forest-benchmark", "kernel_id": "1021"}, {"ref": "paulperry/testing", "kernel_id": "636"}, {"ref": "rinzewind/leaderboard-histogram", "kernel_id": "1168"}, {"ref": "rashmimahadevaiah/test1", "kernel_id": "1411"}, {"ref": "speculation/cv-size", "kernel_id": "1354"}, {"ref": "psychonicolas/t-sne-restaurant-visualization", "kernel_id": "612"}, {"ref": "fidelcastillo/leaderboard-density", "kernel_id": "1243"}, {"ref": "qiujiqiong/correlationship-matrix", "kernel_id": "1058"}, {"ref": "potterxu/notebook-a6791bec46d4f5f9e37a", "kernel_id": "55770"}, {"ref": "potterxu/new-try", "kernel_id": "55772"}, {"ref": "livingmine/testes", "kernel_id": "1120"}, {"ref": "livingmine/testes2", "kernel_id": "1121"}, {"ref": "arnoldkumar/boruta-random-forest-benchmark", "kernel_id": "500"}, {"ref": "whitezhangv5/notebook-a3d7251a1e58283ef3c4", "kernel_id": "23994"}, {"ref": "markpeng/notebook-dabd1c3c25458bd5868b", "kernel_id": "28024"}, {"ref": "zpeng2014/test1", "kernel_id": "1024"}, {"ref": "daretoshare/random-forest", "kernel_id": "1067"}, {"ref": "pooja10/plot-the-histogram-of-37-variables", "kernel_id": "1040"}, {"ref": "khyh00/mean-value", "kernel_id": "16488"}, {"ref": "abhisheksimhadri/different-imp-variables", "kernel_id": "1282"}, {"ref": "winner390/t-sne-restaurant-visualization", "kernel_id": "400"}, {"ref": "duesentrieb/random-forest", "kernel_id": "909"}, {"ref": "profinact/t-sne-restaurant-visualization", "kernel_id": "992"}, {"ref": "profinact/correlationship-matrix", "kernel_id": "1252"}, {"ref": "zeccalehn/random-forest", "kernel_id": "1151"}, {"ref": "tomtillo/histogram-plot-for-1-37-variables", "kernel_id": "900"}, {"ref": "lamdang/test-script", "kernel_id": "917"}, {"ref": "duttaroy/rf-starter-code-rmse", "kernel_id": "1012"}, {"ref": "duttaroy/outlier-impact-density-plot", "kernel_id": "1367"}, {"ref": "kunwang0/overview", "kernel_id": "1119"}, {"ref": "puyokw/randomforest", "kernel_id": "22166"}, {"ref": "boyangan/t-sne-restaurant-visualization", "kernel_id": "437"}, {"ref": "luoyao/t-sne-restaurant-visualization", "kernel_id": "469"}, {"ref": "seekingdata/boruta-random-forest-benchmark", "kernel_id": "1111"}, {"ref": "vvgiri/test-script", "kernel_id": "1222"}, {"ref": "bharatsaraswat/random-forest", "kernel_id": "1122"}, {"ref": "mertozz/firsttest", "kernel_id": "1313"}, {"ref": "tarunsingh/restaurant-revenue-prediction", "kernel_id": "382111"}, {"ref": "pkuleich/11gffd", "kernel_id": "5685"}, {"ref": "munchupnoi/notebook2d5cf900fb", "kernel_id": "111519"}, {"ref": "shinto/notebookaa58171b9c", "kernel_id": "109909"}, {"ref": "aditya93/notebook-42db2fd928fcf513ab14", "kernel_id": "38505"}, {"ref": "raghavkabra1991/notebook261866e4fe", "kernel_id": "94635"}, {"ref": "stunner1608/tfi-revenue-prediction", "kernel_id": "80750"}, {"ref": "stunner1608/notebook-b82861626a9d728e9973", "kernel_id": "80751"}, {"ref": "stunner1608/notebook-14c8af5a4498c19455c8", "kernel_id": "80753"}, {"ref": "makaroval/notebook-7ed70fc79811bd42aaa7", "kernel_id": "24218"}, {"ref": "sanghun/notebook-240f14d809f69c61dcc9", "kernel_id": "48031"}, {"ref": "sanghun/notebook-866884ece4cc8189a546", "kernel_id": "48032"}, {"ref": "kellyjimenez/notebook-ef713af712a5c5df4b58", "kernel_id": "22580"}, {"ref": "tanyagirl/notebook-f9a1f2cb5c63cdcf5296", "kernel_id": "81552"}, {"ref": "shruthirotti/notebook-c1c4d19429e7c16eb082", "kernel_id": "31852"}, {"ref": "endless0325/notebook-64607823dfc5eba1b478", "kernel_id": "33089"}, {"ref": "hscode/notebookafab400546", "kernel_id": "116322"}, {"ref": "immidikalipradeep/notebook-7b87c140d67287739d3a", "kernel_id": "45037"}, {"ref": "jihyeseo/restaurant-revenue-eda-no-missing-time-series", "kernel_id": "956852"}, {"ref": "clairehung/notebook-3affb9ddb86a2dc0cc7a", "kernel_id": "72214"}, {"ref": "katerynad/geomap-for-average-revenue", "kernel_id": "117864"}, {"ref": "axelius/notebook8e2fad5e5d", "kernel_id": "214992"}, {"ref": "praneetmokkapati/tfi-kaggle", "kernel_id": "81389"}, {"ref": "pratikshaj/notebookb9a64b9aad", "kernel_id": "111483"}, {"ref": "debu99/new-try", "kernel_id": "104382"}, {"ref": "cklwankaggle/notebook286cb1d54c", "kernel_id": "113648"}, {"ref": "cklwankaggle/notebookb71f5f6d23", "kernel_id": "113626"}, {"ref": "ysyscool/notebook4302cce60b", "kernel_id": "116971"}, {"ref": "roggin/new-try", "kernel_id": "98687"}, {"ref": "dishant19/tfi-revenue-prediction", "kernel_id": "148871"}, {"ref": "analyticsdojo/null-model-and-first-regression", "kernel_id": "128790"}, {"ref": "ziamandl/notebook6a5cd07059", "kernel_id": "106842"}, {"ref": "ziamandl/notebook2b2cca4c2a", "kernel_id": "125368"}, {"ref": "ziamandl/base-model-attempt", "kernel_id": "128205"}, {"ref": "ziamandl/notebooke60ee50ff8", "kernel_id": "127870"}, {"ref": "ziamandl/notebooka5a4260c91", "kernel_id": "127874"}, {"ref": "ziamandl/notebooke4fd569012", "kernel_id": "128673"}, {"ref": "ziamandl/notebook949b48f299", "kernel_id": "129889"}, {"ref": "amreenahmed11/notebookbdf8f25c0a", "kernel_id": "107017"}, {"ref": "amreenahmed11/data-loading", "kernel_id": "122827"}, {"ref": "zoohrehshahbazii/notebookaace771619", "kernel_id": "145182"}, {"ref": "yltbest/notebook3487ffae1d", "kernel_id": "120932"}, {"ref": "ani310/restaurant-revenue", "kernel_id": "138832"}, {"ref": "manya1/notebookad7763fbe6", "kernel_id": "128841"}, {"ref": "srisravaniputtagunta/notebook8f8c6f8846", "kernel_id": "141201"}, {"ref": "gdhsjwj/restaurant-revenue", "kernel_id": "158194"}, {"ref": "gdhsjwj/notebookce6eb05efe", "kernel_id": "157162"}, {"ref": "gdhsjwj/notebook8546faf168", "kernel_id": "157277"}, {"ref": "sthakky/notebook7264f9f3d4", "kernel_id": "234383"}, {"ref": "chiharuhigashino/notebook60ebe10711", "kernel_id": "191435"}, {"ref": "roshanlulu/restaurant-revenue-prediction", "kernel_id": "270913"}, {"ref": "akhilesh84/restaurant-revenue-prediction-linear-models", "kernel_id": "690913"}, {"ref": "kevinjordan/restaurant-revenue-analysis", "kernel_id": "569716"}, {"ref": "iamauser/gradientboostregressor-prediction", "kernel_id": "1485587"}, {"ref": "lingadhar/rmse-of-1757k-which-is-among-top-40", "kernel_id": "1372777"}, {"ref": "anmoldhingra/restaurant-revenue-predictive-analysis", "kernel_id": "1080545"}, {"ref": "veeger/cmpe343", "kernel_id": "1049168"}, {"ref": "celikagit/revenue-prediction-using-random-forest-regressor", "kernel_id": "1260056"}, {"ref": "celikagit/restaurant-revenue-prediction-w-random-forest", "kernel_id": "2945461"}, {"ref": "jquesadar/restaurant-revenue-1st-place-solution", "kernel_id": "2094493"}, {"ref": "jquesadar/1st-place-restaurant-revenue-competition", "kernel_id": "2081043"}, {"ref": "jquesadar/restaurant-exploratory-data-analysis-eda", "kernel_id": "2069745"}, {"ref": "rmicharet/test-categorical-in-test-validation-dataset", "kernel_id": "2116982"}, {"ref": "myxiaolu/restaurant-new", "kernel_id": "2637869"}, {"ref": "francispimentel/restaurant-revenue", "kernel_id": "3786189"}, {"ref": "ogulcangok/restaurant-revenue-prediction-with-random-forest", "kernel_id": "4952180"}, {"ref": "sarath029/restaurant-revenue-prediction", "kernel_id": "4839601"}, {"ref": "ahayek84/restaurant-revenue-predict", "kernel_id": "5678705"}, {"ref": "abeerabuzayed/restaurant-revenue-prediction-v2", "kernel_id": "5729566"}, {"ref": "abeerabuzayed/restaurant-revenue-prediction-v4", "kernel_id": "5832465"}, {"ref": "adibakm/restaurant-revenue-prediction", "kernel_id": "5466844"}, {"ref": "kefahaied/restaurant-revenue-prediction-v1", "kernel_id": "5738165"}, {"ref": "kefahaied/restaurant", "kernel_id": "5734365"}, {"ref": "harshitt21/restaurant-revenue-prediction", "kernel_id": "6535572"}, {"ref": "thduik/kernel69e5e8b263", "kernel_id": "6470191"}, {"ref": "swarnendud/restaurant-revenue-prediction", "kernel_id": "6447137"}, {"ref": "devkhant24/restaurant-revenue", "kernel_id": "6130621"}, {"ref": "harshays7026/restaurantrevenuedetection-using-linearregression", "kernel_id": "6605687"}, {"ref": "taruto1215/tfi-scikit-learn-randomforest-mlp-svr-ensemble", "kernel_id": "6149603"}, {"ref": "taruto1215/stacking-tutorial-xgb-lgbm-catboost-mlp-svr-knn", "kernel_id": "7964633"}, {"ref": "funxexcel/resturant-revenue-prediction-with-basic-pipeline", "kernel_id": "8274379"}, {"ref": "anees1210/restaurant-revenue", "kernel_id": "8604422"}, {"ref": "batofgotham/gradient-boosting", "kernel_id": "8382140"}, {"ref": "vijaykrishnaburra/kernelf6c23841e7", "kernel_id": "8845948"}, {"ref": "esaeki/restaurant-revenue-prediction", "kernel_id": "9652442"}, {"ref": "arifintahu/restaurant-revenue-prediction", "kernel_id": "9620391"}, {"ref": "samiranbera/predict-restaurant-revenue", "kernel_id": "9071075"}, {"ref": "subbhashit/resturant-revenue-predicition", "kernel_id": "9778217"}, {"ref": "inesalarcondelaguila/random-forest-io", "kernel_id": "9073003"}, {"ref": "kengofujii/restaurant-revenue-prediction", "kernel_id": "9371122"}, {"ref": "tansifanzar/gradient-boosting-without-parameter-optimization", "kernel_id": "9655329"}, {"ref": "adnanf/mlsg-exercise-data-analysis", "kernel_id": "10083512"}, {"ref": "tejaswinicp/kernel398794cfd3", "kernel_id": "10872092"}, {"ref": "vibeeshk/restaurant-revenue-prediction", "kernel_id": "10424951"}, {"ref": "jatta3399/revenuerrestr", "kernel_id": "10154347"}, {"ref": "hironoff/restaurant-revenue", "kernel_id": "10982577"}, {"ref": "fatimaafifi/restaurant-revenue-prediction-rf", "kernel_id": "10702707"}, {"ref": "fatimaafifi/restaurant-revenue-prediction", "kernel_id": "10682713"}, {"ref": "abdalazez/restaurant-revenue-predictive", "kernel_id": "10908891"}, {"ref": "mohgsam/restaurant-revenue-prediction", "kernel_id": "10913030"}, {"ref": "ahmedmurad1990/restaurant-revenue-1st-place-solution", "kernel_id": "10675588"}, {"ref": "taiyaki014/kernel7ada661c64", "kernel_id": "10522332"}, {"ref": "israakhalil/restaurant-revenue-prediction-small", "kernel_id": "11097956"}, {"ref": "ayushikaushik/eda-regression-analysis", "kernel_id": "11401313"}, {"ref": "matt4byu/restaurant-revenue-prediction-analysis", "kernel_id": "11372712"}, {"ref": "lizchu/restaurant-revenue-prediction", "kernel_id": "11441115"}, {"ref": "nakagawam/20200828-restaurant-ver01", "kernel_id": "11410370"}, {"ref": "spoorthiuk/restaurant-revenue-prediction-withdifferentmodels", "kernel_id": "11656525"}, {"ref": "garryarielcussoy/predict-restaurant-revenue-using-regression", "kernel_id": "11682568"}, {"ref": "namiki1984/ds-stdy-restaurant-namiki", "kernel_id": "11615449"}, {"ref": "meridk/notebookee6c91bbfe", "kernel_id": "11381284"}, {"ref": "meridk/ms-dos", "kernel_id": "11477109"}, {"ref": "nahedalsharif/restaurant-revenue-rf-pred", "kernel_id": "11063171"}, {"ref": "mohammedkuheil/restaurant-revenue-predictive", "kernel_id": "11195853"}, {"ref": "rahulpawade/restaurant-revenue-prediction", "kernel_id": "11611498"}, {"ref": "shogotakamuro/ds-stdy-restaurant-st", "kernel_id": "11765688"}, {"ref": "ravik99/revenue-prediction-using-random-forest-regressor", "kernel_id": "11322875"}, {"ref": "krish1990/restaurant-revenue-prediction", "kernel_id": "12647517"}, {"ref": "massyue/ds-stdy-restaurant-uezato", "kernel_id": "12087342"}, {"ref": "hiro1005/restaurant-revenue-prediction", "kernel_id": "12059758"}, {"ref": "lizchu/liz-restaurant-revenue-prediction-model", "kernel_id": "12028417"}, {"ref": "allenkong/restaurant-revenue-prediction", "kernel_id": "12343159"}, {"ref": "omarfarag77/restaurant-revenue-prediction-omar", "kernel_id": "12100495"}, {"ref": "takaomikadokura7069/ds-stdy-restaurant-redge", "kernel_id": "12034947"}, {"ref": "miyanic/ds-stdy-restaurant-1021", "kernel_id": "12100793"}, {"ref": "leechinghoe/restaurant-revenue", "kernel_id": "12302730"}, {"ref": "gauravsarkar/notebook4ee0a88c59", "kernel_id": "12347803"}, {"ref": "ruiyap/detailed-eda-data-processing-model-building", "kernel_id": "13848885"}, {"ref": "akm132000/restaurant-review-prediction", "kernel_id": "13503938"}, {"ref": "jackttai/revenue-prediction-using-lightgbm", "kernel_id": "13399006"}, {"ref": "khanhdnguyen/restaurantrevenueprediction", "kernel_id": "14177670"}, {"ref": "oluwaseunilori/resrevpred-1748462-28317-xgb", "kernel_id": "14583116"}, {"ref": "prasunagarwal/restaurant-prediction-eda", "kernel_id": "14213010"}, {"ref": "shaikhmuhammad/revenue-prediction-using-catboost-and-randomforest", "kernel_id": "15788304"}, {"ref": "rookgordon/notebookef8f96df00", "kernel_id": "15783175"}, {"ref": "apiwatinchoo/notebookeeb65a13a3", "kernel_id": "15206946"}, {"ref": "yogirajgutte/restaurant-revenue-prediction", "kernel_id": "16569944"}, {"ref": "akouaorsot/restaurant-revenue-s-predictions", "kernel_id": "17627615"}, {"ref": "div1996p/revenue-prediction", "kernel_id": "18496222"}, {"ref": "user47/tfi-restaurant-revenue-prediction", "kernel_id": "18841953"}, {"ref": "taigasogame/group3-mixparam", "kernel_id": "18104668"}, {"ref": "taigasogame/notebook03ae72532d", "kernel_id": "18035406"}, {"ref": "yukitotu/notebookb447aee975", "kernel_id": "18287570"}, {"ref": "yukitotu/3han-restaurant-revenue-prediction", "kernel_id": "18365065"}, {"ref": "yukitotu/team-3-restaurant", "kernel_id": "18854935"}, {"ref": "yukitotu/team-3-restaurant-revenue", "kernel_id": "18856084"}, {"ref": "tabuchin/notebook0c8340b316", "kernel_id": "18332255"}, {"ref": "kasaneteto/notebook41528efc66", "kernel_id": "18526957"}, {"ref": "kasaneteto/notebook689b316925", "kernel_id": "18567785"}, {"ref": "haradayuta/notebook41da0e2e2c", "kernel_id": "18918651"}, {"ref": "hamaatsushi/ds-restaurant-revenue-prediction-hm", "kernel_id": "18610915"}, {"ref": "yukaito/notebook74fa0f46be", "kernel_id": "18337101"}, {"ref": "chenxidong/eda-feature-engineering-multiple-regression-models", "kernel_id": "20589918"}, {"ref": "at3191/restaurant-revenue-prediction-trial-1", "kernel_id": "21332080"}, {"ref": "fatihdeniz/restaurant-revenue-prediction-linear-models", "kernel_id": "22508352"}, {"ref": "azxraf/catboost", "kernel_id": "22797924"}, {"ref": "souhailnahed/restaurant-revenue-prediction-nahed-souhail", "kernel_id": "22388496"}, {"ref": "nouhailanassib/restaurant-revenue-prediction", "kernel_id": "22375714"}, {"ref": "salmakouhou/fork-of-restaurant-revenue-prediction-salma", "kernel_id": "22384620"}, {"ref": "elmehdioubari/notebook93787eda4e", "kernel_id": "22388355"}, {"ref": "greshmapk/restaurant-revenue", "kernel_id": "25920636"}, {"ref": "parvathicg/restuarent-revenue-prediction", "kernel_id": "25920693"}, {"ref": "bhavishs28/restaurant-revenue-predition", "kernel_id": "25920692"}, {"ref": "husnakhan/restaurant-prediction", "kernel_id": "25202823"}, {"ref": "ahmedameenhassan/restraunt-revenue", "kernel_id": "25920721"}, {"ref": "suprithahalesh/restaurant-revenue", "kernel_id": "25920665"}, {"ref": "aromadsouza/restaurant-revenue-prediction", "kernel_id": "25920719"}, {"ref": "nmud19/restaurant-revenue-trial", "kernel_id": "26768391"}, {"ref": "purna135/restaurant-revenue-prediction-linear-regression", "kernel_id": "26550097"}, {"ref": "rajeshsingh3474/restaurant-revenue", "kernel_id": "26661649"}, {"ref": "brenomfviana/restaurant-revenue-prediction", "kernel_id": "27452774"}, {"ref": "mountain1250/notebook5a3496aec9-478153", "kernel_id": "28981384"}, {"ref": "mountain1250/notebook5a3496aec9", "kernel_id": "28772975"}, {"ref": "mountain1250/notebookf64bb38074", "kernel_id": "28741718"}, {"ref": "otsukiryo/notebook5a3496aec9", "kernel_id": "28609274"}, {"ref": "otsukiryo/notebook53405d9c2f", "kernel_id": "28982735"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "h0sseinkarami/restaurant-revenue", "kernel_id": "30869017"}, {"ref": "yarslavhladun/fork-of-ensemble-elasticnet-randomforest-svm", "kernel_id": "34798736"}, {"ref": "vidvath7/restaurant-revenue-prediction-eda", "kernel_id": "34468877"}, {"ref": "gautamimamidala/restaurant-regression", "kernel_id": "36389040"}, {"ref": "nithiin777/restaurant-1", "kernel_id": "36386075"}, {"ref": "kondetisandeep/notebookd60e0a7256", "kernel_id": "36389829"}, {"ref": "kondetisandeep/restaurent-re", "kernel_id": "36395511"}, {"ref": "manojkumarpentapalli/restuarant-prediction", "kernel_id": "36427018"}, {"ref": "battulaprincy/restaurant-revenue-prediction", "kernel_id": "36399864"}, {"ref": "nicolascardozo995/restaurant-revenue-prediction-rm", "kernel_id": "37941467"}, {"ref": "saljen/team-550w", "kernel_id": "37332184"}, {"ref": "vissapragadasandeep/revenue-prediction", "kernel_id": "38887303"}, {"ref": "pillasaipavan/restaurant-revenue", "kernel_id": "38998608"}, {"ref": "ddjmeofwne/resturant", "kernel_id": "39252508"}, {"ref": "rgb07060/notebook890a459505", "kernel_id": "40743847"}, {"ref": "moeka12/notebook411707fad6", "kernel_id": "40787186"}, {"ref": "godiego/notebookefea7cc09a", "kernel_id": "40784062"}, {"ref": "motoyanii/notebookebc98783e5", "kernel_id": "40784373"}, {"ref": "hirototakeda/notebookd0765c6029", "kernel_id": "40868320"}, {"ref": "ogokazuki/notebook7c5e4ddd84", "kernel_id": "40865650"}, {"ref": "hamara23/notebook8f3e28f383", "kernel_id": "40787172"}, {"ref": "tatsurr/notebook58dc87cf0f", "kernel_id": "40784419"}, {"ref": "oct4ne/notebook44e13b0eec", "kernel_id": "40566936"}, {"ref": "un101023/restaurant-submission", "kernel_id": "41684207"}, {"ref": "rgb07060/notebook58dc87cf0f-935688", "kernel_id": "41457714"}, {"ref": "rgb07060/notebook58dc87cf0f-06eef4", "kernel_id": "41300178"}, {"ref": "godiego/notebookb447aee975", "kernel_id": "41294935"}, {"ref": "ogokazuki/notebook58dc87cf0f-a03992", "kernel_id": "41521710"}, {"ref": "ogokazuki/notebook63ba2acdf2", "kernel_id": "41252557"}, {"ref": "ogokazuki/notebook8e7f2d7a9e", "kernel_id": "41195223"}, {"ref": "ogokazuki/notebook58dc87cf0f", "kernel_id": "41194969"}, {"ref": "utsunomiya36/notebookf075268a05", "kernel_id": "41590697"}, {"ref": "seokakaito/notebook8f3e28f383", "kernel_id": "41609238"}, {"ref": "addiwarluckyreddy/restaurant-revenue-pre", "kernel_id": "42357428"}, {"ref": "yazeedalsahouri03/restaurant-revenue-prediction", "kernel_id": "43467130"}, {"ref": "rwolff17/restaurant-revenue-prediction-with-random-forest", "kernel_id": "47865752"}, {"ref": "maddieportrey/restaurant-revenue", "kernel_id": "47423408"}, {"ref": "amandashaffer/myfinalnotebook", "kernel_id": "47522253"}, {"ref": "jackfarris/restaurant-revenue-prediction", "kernel_id": "47742909"}, {"ref": "lucydornon/restaurantrevenueprediction", "kernel_id": "47992819"}, {"ref": "alexkle/hw-4-nn-regression-problem", "kernel_id": "47692572"}, {"ref": "oliviahanks/restaurant-revenue-project-rf", "kernel_id": "48051402"}, {"ref": "jadenearl/restrauntrev-stat348", "kernel_id": "48149720"}, {"ref": "colbyeastmond/randforest2-notebook", "kernel_id": "48039773"}, {"ref": "shashankvats001/pandas-part-1", "kernel_id": "51148154"}, {"ref": "yehoryevtushenko/lesson20-03-2024", "kernel_id": "54718312"}, {"ref": "kaimizuno20020113/notebookrestaurant", "kernel_id": "61582121"}, {"ref": "yamajiryota/notebookae690ac4b7", "kernel_id": "61579669"}, {"ref": "kaimizuno20020113/notebook-restaurant", "kernel_id": "62764844"}, {"ref": "kaimizuno20020113/notebook-r", "kernel_id": "62003447"}, {"ref": "gaku0502/notebook4af9f986f7", "kernel_id": "62758798"}, {"ref": "gaku0502/notebook421b18224c", "kernel_id": "62758567"}, {"ref": "momokadayo/notebookedb1a490cf", "kernel_id": "62785981"}, {"ref": "momokadayo/notebook11d933d70e", "kernel_id": "62802705"}, {"ref": "tajima12/notebook4750ed4c75", "kernel_id": "62802222"}, {"ref": "ahoudori/notebook-restaurant-nakagawa", "kernel_id": "62797942"}, {"ref": "adityakalsi/restaurant-prediction-best-model", "kernel_id": "63355214"}, {"ref": "thanpisitjantakate/notebook2327c2d471", "kernel_id": "66750656"}, {"ref": "alperugurca/restaurant-revenue-prediction", "kernel_id": "69536689"}, {"ref": "zlatanshev/shevchenko-subm-rrp", "kernel_id": "69112599"}, {"ref": "zyh1104/026-restaurant-revenue-prediction", "kernel_id": "71512800"}, {"ref": "brittanymeier3/restaurant-revenue-prediction-notebook", "kernel_id": "71854978"}, {"ref": "eeetteee/notebook", "kernel_id": "71649445"}, {"ref": "ihanchien/restauraant-revenue-prediction", "kernel_id": "71497114"}, {"ref": "victoriaho/revenue-ridge-regression", "kernel_id": "71939720"}, {"ref": "danielsumsion/restaurant-revenue", "kernel_id": "72354575"}, {"ref": "evcamo/notebook-boosted", "kernel_id": "72450643"}, {"ref": "jaxonwilkinson/restaurant-revenue-prediction", "kernel_id": "72191407"}, {"ref": "stachexc/restrev", "kernel_id": "72787234"}, {"ref": "arinachen03/revenue-prediction", "kernel_id": "72000684"}, {"ref": "willdean00/restaurant-revenue-predictions", "kernel_id": "72667736"}, {"ref": "victoriaho/revenue1-lasso", "kernel_id": "73672042"}, {"ref": "victoriaho/revenue-lasso-regression", "kernel_id": "73662789"}, {"ref": "sayedsalem/eda-model-selection-lgb-used", "kernel_id": "78667500"}, {"ref": "ugurcan95/restaurant-revenue", "kernel_id": "80918780"}, {"ref": "bilgingunes/2-restaurant-revenue-prediction-regression", "kernel_id": "81659041"}, {"ref": "bilgingunes/restaurant-revenue-prediction-regression", "kernel_id": "81656917"}, {"ref": "sakonyuya/restaurant-revenue", "kernel_id": "82652835"}, {"ref": "evanoleary/alexandria-competition-restaurant-revenue-314845", "kernel_id": "100777692"}, {"ref": "haydenmg/tfi-revenue-prediction", "kernel_id": "103801249"}, {"ref": "trevorhancock/restrevenuepred-stat348", "kernel_id": "103784853"}, {"ref": "nategordon24/restaurantrevenue", "kernel_id": "103712028"}, {"ref": "julianilss0n/restaurant-log-rf-model-notebook", "kernel_id": "103510619"}, {"ref": "caitlynstokes/caitlyn-stokes-revenue", "kernel_id": "103806040"}, {"ref": "hongtingwang718/restaurant-revenue-prediction-in-r-random-forest", "kernel_id": "103808766"}, {"ref": "evgendvorkin/restaurant-revenue-prediction", "kernel_id": "106632112"}, {"ref": "zynptkn06/restaurant-revenue-prediction", "kernel_id": "115893019"}, {"ref": "khushi00452/restaurant-revenue-prediction-challenge", "kernel_id": "119839689"}, {"ref": "khadigayahya/notebook06f88be8e5", "kernel_id": "136361277"}, {"ref": "omar271/restaurant-revenue-prediction", "kernel_id": "136535939"}, {"ref": "omar271/notebook05811e45e2", "kernel_id": "136361234"}, {"ref": "ahmedm7h/notebookb1d03470ff", "kernel_id": "136361271"}]}
{"competition_id": "4278", "kernels": []}
{"competition_id": "4280", "kernels": [{"ref": "wangfelix/visualizing-mistakes", "kernel_id": "6056"}, {"ref": "benhamner/scikit-learn-version", "kernel_id": "3317"}, {"ref": "benhamner/distribution-of-product-categories", "kernel_id": "2705"}, {"ref": "benhamner/default-julia-script", "kernel_id": "3101"}, {"ref": "benhamner/top-10-leaderboard-performance-over-time", "kernel_id": "1191"}, {"ref": "benhamner/directory-structure", "kernel_id": "1088"}, {"ref": "benhamner/fiddling-with-r-1", "kernel_id": "275"}, {"ref": "benhamner/t-sne-visualization-1", "kernel_id": "354"}, {"ref": "benhamner/random-forest-benchmark-r-1", "kernel_id": "373"}, {"ref": "benhamner/important-feature-correlations", "kernel_id": "416"}, {"ref": "mjahrer/class-wise-feature-importance", "kernel_id": "415"}, {"ref": "dchudz/visualizing-class-distance", "kernel_id": "4545"}, {"ref": "dchudz/trying-to-make-an-animation", "kernel_id": "4546"}, {"ref": "dchudz/testing-r-script", "kernel_id": "2668"}, {"ref": "dchudz/rmarkdown-starter-script-4", "kernel_id": "744"}, {"ref": "dchudz/xgboost", "kernel_id": "1381"}, {"ref": "dchudz/python-example", "kernel_id": "370"}, {"ref": "dchudz/random-forest-benchmark-r-2", "kernel_id": "382"}, {"ref": "csimokat/test1", "kernel_id": "2594"}, {"ref": "abhishek/python-example", "kernel_id": "371"}, {"ref": "abhishek/beating-the-benchmark-v2-0", "kernel_id": "372"}, {"ref": "abhishek/class-wise-feature-importance", "kernel_id": "368"}, {"ref": "tks0123456789/class-wise-feature-importance", "kernel_id": "353"}, {"ref": "rsmith851/understanding-xgboost-model-on-otto-data", "kernel_id": "6694"}, {"ref": "gertjac/testing-scripts-facility", "kernel_id": "680"}, {"ref": "herrahuu/visualization-of-the-full-dataset", "kernel_id": "1485"}, {"ref": "lujing/wrapper-for-models-ensemble", "kernel_id": "2851"}, {"ref": "kosti4ka/notebook-d22f75e9e46344dd3d94", "kernel_id": "30421"}, {"ref": "richardepstein/just-testing-environment", "kernel_id": "331"}, {"ref": "richardepstein/just-testing", "kernel_id": "402"}, {"ref": "db1234/try1123", "kernel_id": "1227"}, {"ref": "chasset/random-forest-benchmark-r", "kernel_id": "1678"}, {"ref": "datacanary/svm-example", "kernel_id": "440"}, {"ref": "datacanary/xgboost-starter-code-with-r", "kernel_id": "435"}, {"ref": "datacanary/describe-the-data", "kernel_id": "436"}, {"ref": "kunjal/new-forest", "kernel_id": "2522"}, {"ref": "kunjal/markdown", "kernel_id": "2554"}, {"ref": "kunjal/sample", "kernel_id": "2576"}, {"ref": "tqchen/understanding-xgboost-model-on-otto-data", "kernel_id": "1432"}, {"ref": "tqchen/testx", "kernel_id": "1361"}, {"ref": "cashfeg/t-sne-visualization-class-2-3-4", "kernel_id": "1070"}, {"ref": "cashfeg/t-sne-visualization-log-1-x", "kernel_id": "420"}, {"ref": "itenyh/notebook-01ad82e8c5a74dffe6db", "kernel_id": "48404"}, {"ref": "danrugeles/testing", "kernel_id": "2659"}, {"ref": "bintug/notebook-6518531cbc5c4933afc5", "kernel_id": "36165"}, {"ref": "wangjiewei/hello-world", "kernel_id": "87290"}, {"ref": "wangjiewei/notebookf711dfe112", "kernel_id": "87291"}, {"ref": "prakash5801/otto1", "kernel_id": "1365"}, {"ref": "chrisslz/class-wise-feature-importance", "kernel_id": "443"}, {"ref": "thakurrajanand/deep-learning-h2o-0-44", "kernel_id": "2493"}, {"ref": "oduerr/notebook-f52706786efa80805023", "kernel_id": "24406"}, {"ref": "manueldiaz/feature-selection", "kernel_id": "518"}, {"ref": "manueldiaz/feature-selection-otto-group", "kernel_id": "519"}, {"ref": "manueldiaz/boruta", "kernel_id": "567"}, {"ref": "hetong007/xgboost-starter-code-with-r", "kernel_id": "366"}, {"ref": "jimthompson/leaderboard-visualizations", "kernel_id": "854"}, {"ref": "cbourguignat/why-calibration-works", "kernel_id": "3308"}, {"ref": "nsecord/gbm-parameter-estimation", "kernel_id": "1627"}, {"ref": "bhowku01/notebook-9327538e29e317889191", "kernel_id": "31913"}, {"ref": "nishshah/random-forest-benchmark-r", "kernel_id": "5244"}, {"ref": "nishshah/exercise", "kernel_id": "5976"}, {"ref": "mortezaa/myscript1", "kernel_id": "6045"}, {"ref": "majhra/caretnn-test", "kernel_id": "455"}, {"ref": "rudikruger/xgboost-starter-code-with-r", "kernel_id": "411"}, {"ref": "rudikruger/rf-gbm", "kernel_id": "419"}, {"ref": "titericz/t-sne-visualization", "kernel_id": "934"}, {"ref": "titericz/class-wise-feature-importance", "kernel_id": "936"}, {"ref": "inversion/visualizing-class-distance", "kernel_id": "4517"}, {"ref": "tomlegrand/test-script", "kernel_id": "2478"}, {"ref": "vikramnrao/vikram-s1", "kernel_id": "1565"}, {"ref": "mjreddy/feature-importance", "kernel_id": "505"}, {"ref": "mikeskim/multi-class-logloss-test", "kernel_id": "5297"}, {"ref": "svpons/class-wise-feature-importance", "kernel_id": "417"}, {"ref": "gersondave/baseline", "kernel_id": "2595"}, {"ref": "brianjl/class-wise-feature-importance", "kernel_id": "1133"}, {"ref": "vadimomelchenko/the-combination-of-rf-anf-k-means", "kernel_id": "1480"}, {"ref": "mpearmain/finding-ensamble-weights", "kernel_id": "5463"}, {"ref": "golhar/notebook48ebd2f8a0", "kernel_id": "192365"}, {"ref": "golhar/this-is-my-first-nb", "kernel_id": "192220"}, {"ref": "golhar/notebook43e0b119c5", "kernel_id": "192225"}, {"ref": "yashrajlamsal/visualization", "kernel_id": "2861"}, {"ref": "yashrajlamsal/visuali", "kernel_id": "2863"}, {"ref": "aminab/first-try-of-kaggle-scripts", "kernel_id": "892"}, {"ref": "paulperry/installed-packages", "kernel_id": "3194"}, {"ref": "youngdream/xgboost-starter-code-with-r", "kernel_id": "950"}, {"ref": "philschmidt/beat-the-benchmark-with-neural-networks", "kernel_id": "969"}, {"ref": "chiliarchus/testkagglescripts", "kernel_id": "1132"}, {"ref": "timothyman/testing-scripting", "kernel_id": "1567"}, {"ref": "usixuz/understanding-xgboost-model-on-otto-data", "kernel_id": "27733"}, {"ref": "kevinhwang/understanding-xgboost-model-on-otto-data", "kernel_id": "30811"}, {"ref": "rajendrakumar/notebook-3f621cf2c0eeb3ad53e5", "kernel_id": "27888"}, {"ref": "rajendrakumar/notebook-fcc203a053c888d48193", "kernel_id": "27889"}, {"ref": "tjrileywisc/random-forest-benchmark-r", "kernel_id": "464"}, {"ref": "ashishsingh14/otto-practice", "kernel_id": "264555"}, {"ref": "sakshibatra/test1", "kernel_id": "1489"}, {"ref": "sakshibatra/test3", "kernel_id": "1491"}, {"ref": "cuttlefish/first-notebook-1", "kernel_id": "63927"}, {"ref": "beader/understanding-xgboost-model-on-otto-data", "kernel_id": "2884"}, {"ref": "nikeshbajaj/beating-benchmark-with-ensembles", "kernel_id": "3015"}, {"ref": "jsgourdet/test1", "kernel_id": "2567"}, {"ref": "ujjwal/beat-the-benchmark-with-neural-networks", "kernel_id": "359"}, {"ref": "miamtheyuka/class-wise-feature-importance", "kernel_id": "798"}, {"ref": "snowflakes/random-fores", "kernel_id": "1376"}, {"ref": "betterplace/t-sne-visualization", "kernel_id": "3224"}, {"ref": "mohdatir/random-forest-benchmark-r", "kernel_id": "1209"}, {"ref": "hieuhuynh/beating-the-benchmark-v2-0", "kernel_id": "1441"}, {"ref": "anirudhp/random-forest-benchmark-r", "kernel_id": "1611"}, {"ref": "markfruin/logloss-evaluation-function", "kernel_id": "1445"}, {"ref": "osamaaziz/rf-gbm", "kernel_id": "2921"}, {"ref": "tianzhou/notebook-c391dcfc6ad5bfcbeca9", "kernel_id": "28132"}, {"ref": "tianzhou/notebook-49a9f43133d2f8e23dce", "kernel_id": "25500"}, {"ref": "tianzhou/notebook-40c66179348cbacbce26", "kernel_id": "23396"}, {"ref": "sushanttripathy/wrapper-for-models-ensemble", "kernel_id": "1706"}, {"ref": "miwachu/understanding-xgboost-model-on-otto-data", "kernel_id": "116458"}, {"ref": "zhuzik/understanding-xgboost-model-on-otto-data", "kernel_id": "3035"}, {"ref": "charansandeep/knn-argpartition-and-value-of-k", "kernel_id": "503835"}, {"ref": "gerardmeester/testing-scripts-facility", "kernel_id": "6436"}, {"ref": "gerardmeester/notebook-717bf486c3c3f2ab890d", "kernel_id": "23308"}, {"ref": "cainanyang/xgboost-demo-r", "kernel_id": "2748"}, {"ref": "hsperr/finding-ensamble-weights", "kernel_id": "1162"}, {"ref": "davidpinto/notebook4cc3cffba7", "kernel_id": "123501"}, {"ref": "aguschin/tsne-2d", "kernel_id": "5823"}, {"ref": "ghostrider/svm-example", "kernel_id": "3223"}, {"ref": "luminescent/test-script", "kernel_id": "3185"}, {"ref": "alexargus/random-forest-benchmark-r", "kernel_id": "1494"}, {"ref": "bibins/understanding-xgboost-model-on-otto-data", "kernel_id": "23400"}, {"ref": "zpeng2014/testa", "kernel_id": "2719"}, {"ref": "sundancekid/sctryout", "kernel_id": "4583"}, {"ref": "ngutten/visualizing-mistakes", "kernel_id": "3253"}, {"ref": "daretoshare/beating-the-benchmark-v2-0", "kernel_id": "640"}, {"ref": "hugomc/mean-of-feature-by-class-2", "kernel_id": "1362"}, {"ref": "tangzhenyu/finding-ensemble-weights", "kernel_id": "9925"}, {"ref": "ronyrozas/data-exploration", "kernel_id": "683"}, {"ref": "yarilorenzo/class-wise-feature-importance", "kernel_id": "578"}, {"ref": "vabraham/comparing-tree-based-classifiers-in-r", "kernel_id": "1014"}, {"ref": "psahoo/understanding-xgboost-model-on-otto-data", "kernel_id": "38098"}, {"ref": "razorwind/class-wise-feature-importance", "kernel_id": "1115"}, {"ref": "terrychenism/finding-ensamble-weights", "kernel_id": "1390"}, {"ref": "oliverhan/12345", "kernel_id": "943"}, {"ref": "bucweat/mean-of-feature-by-class", "kernel_id": "1036"}, {"ref": "kvn219/wrapper-for-models-ensemble", "kernel_id": "2976"}, {"ref": "devendramittal/assf234", "kernel_id": "3145"}, {"ref": "alfredmungai/ottol", "kernel_id": "3202"}, {"ref": "dominguez/notebook629609d86c", "kernel_id": "174649"}, {"ref": "shuimuxixiha/class-wise-feature-importance", "kernel_id": "740"}, {"ref": "boplffw/distribution-of-product-categories", "kernel_id": "2820"}, {"ref": "pkh409/class-wise-feature-importance", "kernel_id": "2951"}, {"ref": "aleksmishka/random-forest-benchmark-r", "kernel_id": "1488"}, {"ref": "rezamahani/understanding-xgboost-model-on-otto-data", "kernel_id": "107631"}, {"ref": "munmun1333/notebook-ca9fcd425b77b5d24847", "kernel_id": "60339"}, {"ref": "fhasbani/notebook0d21c0a5aa", "kernel_id": "89652"}, {"ref": "venkatesh01/sampletest", "kernel_id": "27878"}, {"ref": "ryutek/script-test", "kernel_id": "2453"}, {"ref": "jasminelily/ensemble-weights-with-xg", "kernel_id": "13797"}, {"ref": "jasminelily/xgboost-r", "kernel_id": "10605"}, {"ref": "jasminelily/xgboost-in-r", "kernel_id": "10601"}, {"ref": "ayuurm/t-sne-visualization", "kernel_id": "4423"}, {"ref": "archieindian/testing-r-script", "kernel_id": "2660"}, {"ref": "ankitagoplani/notebook-24748747e563ca702644", "kernel_id": "57155"}, {"ref": "mchirico/understanding-xgboost-model-on-otto-data", "kernel_id": "53120"}, {"ref": "charlesroberson/xgboost-starter-code-with-r", "kernel_id": "2857"}, {"ref": "svikramank/demo1", "kernel_id": "11873"}, {"ref": "interesting/notebook8dea9c2c3f", "kernel_id": "264876"}, {"ref": "lokeshadu/random-forest-benchmark-r", "kernel_id": "1505"}, {"ref": "loic74/random-forest-benchmark-r", "kernel_id": "1356"}, {"ref": "rokkralj/test-a", "kernel_id": "2473"}, {"ref": "bradyjm1/glm-script", "kernel_id": "1581"}, {"ref": "bradyjm1/ensemble", "kernel_id": "2550"}, {"ref": "aesnau/rf-gbm", "kernel_id": "1644"}, {"ref": "lamdang/test-script-1", "kernel_id": "2552"}, {"ref": "tejas92/notebook-540949957f4c9fd0f13b", "kernel_id": "25225"}, {"ref": "tejas92/jhgkmhv", "kernel_id": "25226"}, {"ref": "mark42/confusion-matrix-with-probabilities", "kernel_id": "6319"}, {"ref": "rajeshbindal/notebook-fa74e5f1fbc8e11f0edd", "kernel_id": "31020"}, {"ref": "puyokw/t-sne-with-and-without-tfitf", "kernel_id": "6318"}, {"ref": "zhouyang2/adewe232434", "kernel_id": "619"}, {"ref": "zhouyang2/first1122", "kernel_id": "587"}, {"ref": "risak314567/r-thing", "kernel_id": "1705"}, {"ref": "yoyosisco/deep15", "kernel_id": "31094"}, {"ref": "sugang/gs-test", "kernel_id": "1608"}, {"ref": "bulletnoid/xgboost-in-r", "kernel_id": "6160"}, {"ref": "bulletnoid/xgboost-in-r-2", "kernel_id": "6161"}, {"ref": "meterix/svm-example", "kernel_id": "1259"}, {"ref": "papalu/beat-the-benchmark-with-neural-networks", "kernel_id": "1138"}, {"ref": "cs822am/benchmark", "kernel_id": "427"}, {"ref": "rezahashemi/xgboost-model-on-otto-data", "kernel_id": "3109"}, {"ref": "rezahashemi/class-wise-feature-importance", "kernel_id": "3110"}, {"ref": "rezahashemi/xgboost-starter-code-with-r", "kernel_id": "3111"}, {"ref": "muhammadzaman/knn-argpartition-and-value-of-k", "kernel_id": "3256"}, {"ref": "mxk7721/wrapper-for-models-ensemble", "kernel_id": "3113"}, {"ref": "snachaudhary/random-forest-benchmark-r", "kernel_id": "425"}, {"ref": "vladteodorescu/important-feature-correlations", "kernel_id": "2596"}, {"ref": "carlcarlson/notebook-abd344b40a589779a8a5", "kernel_id": "21129"}, {"ref": "shj123/deep-learning-h2o-0-44", "kernel_id": "2566"}, {"ref": "fr3akp/feature-selection-otto-group", "kernel_id": "1226"}, {"ref": "ashnils/wwrererer", "kernel_id": "977"}, {"ref": "lisiyao/svm-example", "kernel_id": "3226"}, {"ref": "xgwang/otto-product-classification-predictions", "kernel_id": "123076"}, {"ref": "kevinut/t-sne-visualization-1", "kernel_id": "6722"}, {"ref": "thedoctor46/otto-clustering", "kernel_id": "1350"}, {"ref": "n2parko/testing", "kernel_id": "1372"}, {"ref": "ibiebd/finding-ensamble-weights", "kernel_id": "1450"}, {"ref": "mankutimma/understanding-xgboost-model-on-otto-data", "kernel_id": "4335"}, {"ref": "ashjay/test1", "kernel_id": "2805"}, {"ref": "eltotterino/notebook-8bd65ef6dcf5981cca10", "kernel_id": "35746"}, {"ref": "trahasch/otto-product-classification-predictions", "kernel_id": "26893"}, {"ref": "trahasch/otto-sandbox", "kernel_id": "26894"}, {"ref": "trahasch/notebook-69ab189d8ba8ee3dc5d0", "kernel_id": "26895"}, {"ref": "islamalaarag/notebook-58833b018b680cbbd2a9", "kernel_id": "44382"}, {"ref": "jszymczak/meet-ml-sklearn-script", "kernel_id": "57317"}, {"ref": "jszymczak/exampe", "kernel_id": "57269"}, {"ref": "jszymczak/temp2", "kernel_id": "57271"}, {"ref": "libra202ma/learning-xgboost-with-otto-dataset", "kernel_id": "257454"}, {"ref": "pawarvinaya/notebook-94e37b5caf3911637869", "kernel_id": "20415"}, {"ref": "borisp/why-calibration-works", "kernel_id": "6605"}, {"ref": "subway/notebookfb72610ebf", "kernel_id": "171258"}, {"ref": "benyomin/http-www-otto-trade-com-ua", "kernel_id": "6441"}, {"ref": "ahmedameen/notebook-716baabc93fd5c57d8a4", "kernel_id": "44634"}, {"ref": "ahmedameen/notebook-7f71c4dbef9eff0f8ada", "kernel_id": "44625"}, {"ref": "ahmedameen/notebook-0c9bedd967b7e770d71b", "kernel_id": "44626"}, {"ref": "ahmedameen/notebook-ec708d3e607541738742", "kernel_id": "44875"}, {"ref": "ahmedameen/notebook-02186e55396cb6a31d3f", "kernel_id": "44876"}, {"ref": "ahmedameen/notebook-150299ab636f7da77fd1", "kernel_id": "44873"}, {"ref": "ceciliat/understanding-xgboost-model-on-otto-data", "kernel_id": "18968"}, {"ref": "taoqi610/randomtree", "kernel_id": "122489"}, {"ref": "taoqi610/xgboost1", "kernel_id": "122790"}, {"ref": "taoqi610/ensemble", "kernel_id": "123620"}, {"ref": "taoqi610/logsticregression", "kernel_id": "123638"}, {"ref": "lingchunkai/otto-test", "kernel_id": "108552"}, {"ref": "karthikvutukuru/random-forest-test", "kernel_id": "156428"}, {"ref": "acelikkaya/svm-example", "kernel_id": "13585"}, {"ref": "benjamwhite/notebook-46bd8885497b8b5bfc1e", "kernel_id": "79268"}, {"ref": "hongguangguo/notebook-3c78e154e1193a65e247", "kernel_id": "34225"}, {"ref": "markusanderle/notebook-d8ee796161ef4c2878b8", "kernel_id": "43723"}, {"ref": "markusanderle/notebook-47d92df925720d760b1a", "kernel_id": "44075"}, {"ref": "nkaxani/understanding-xgboost-model-on-otto-data", "kernel_id": "102661"}, {"ref": "hpu027/test-py", "kernel_id": "17196"}, {"ref": "dujekmancin/understanding-xgboost-model-on-otto-data", "kernel_id": "53289"}, {"ref": "dujekmancin/notebook-3511c11de0130b404e29", "kernel_id": "53300"}, {"ref": "dujekmancin/notebook-f5a456e527ca6bac46b3", "kernel_id": "53291"}, {"ref": "dujekmancin/otto-mk", "kernel_id": "53292"}, {"ref": "huasanyelao/why-calibration-works", "kernel_id": "40659"}, {"ref": "pratapbhanu/pca-a-case-study", "kernel_id": "226623"}, {"ref": "yoheik/notebook-e01ce73d6487d03be2eb", "kernel_id": "36964"}, {"ref": "robindata/find-the-model", "kernel_id": "41545"}, {"ref": "robindata/random-forest-benchmark-r", "kernel_id": "41542"}, {"ref": "adilshv/otto-product-classification-predictions", "kernel_id": "29290"}, {"ref": "shivong27/class-wise-feature-importance", "kernel_id": "95250"}, {"ref": "jobelo/notebook-715a73834d41540569dc", "kernel_id": "34545"}, {"ref": "omarelgabry/otto-product-classification-predictions", "kernel_id": "24647"}, {"ref": "omarelgabry/notebook-3b75693191b1a83ce625", "kernel_id": "24648"}, {"ref": "gensollen/notebook-74368790618049ef4325", "kernel_id": "22597"}, {"ref": "eledata/using-random-forest-to-classify-otto-group-product", "kernel_id": "373249"}, {"ref": "russlitianyu/test-1", "kernel_id": "28366"}, {"ref": "russlitianyu/test-2", "kernel_id": "28367"}, {"ref": "russlitianyu/notebook-6ba82091abdea0be3977", "kernel_id": "28368"}, {"ref": "brasil/notebook-12e74a02f29fbed23796", "kernel_id": "29689"}, {"ref": "eglxiang/class-wise-feature-importance", "kernel_id": "27359"}, {"ref": "vaibhavlaturkar/fork-of-notebook1f39d14ff2", "kernel_id": "150652"}, {"ref": "vaibhavlaturkar/notebook7a7ff9411f", "kernel_id": "147441"}, {"ref": "beautiful/notebook-5a9fa79ece1f3420d34a", "kernel_id": "30633"}, {"ref": "beautiful/notebook-a7f376af87dec292bf38", "kernel_id": "30634"}, {"ref": "shrikanthramanathan/otto-product-classification-predictions", "kernel_id": "51198"}, {"ref": "maoyue2004/understanding-xgboost-model-on-otto-data", "kernel_id": "44936"}, {"ref": "aakankshas/notebook-424f37ad6df0c317e549", "kernel_id": "32198"}, {"ref": "mukeshranjan/testing-scripts-facility", "kernel_id": "79905"}, {"ref": "leongao/notebook-6b59d747ebcaef9024e6", "kernel_id": "56652"}, {"ref": "tomwalk/otto-test", "kernel_id": "31520"}, {"ref": "nschoepper/notebook-93efa156f0a3758256e1", "kernel_id": "53223"}, {"ref": "soniatul83/notebook-d5e6093a284867556440", "kernel_id": "32827"}, {"ref": "soniatul83/otto-sa", "kernel_id": "32825"}, {"ref": "quamber/random-forest-with-rne-feature-selection", "kernel_id": "442433"}, {"ref": "zczlzti/notebook-aef7d41f4f81b2df01c7", "kernel_id": "40522"}, {"ref": "rishikksh20/notebook-dcc6ce800257be36ef98", "kernel_id": "34900"}, {"ref": "justonsong/notebookc1074312a1", "kernel_id": "187635"}, {"ref": "maliukbager/understanding-xgboost-model-on-otto-data", "kernel_id": "134400"}, {"ref": "anthonysuparno/notebook-f5d2df72b5d2bb350b5b", "kernel_id": "38264"}, {"ref": "rgrthujz/mean-of-feature-by-class-2", "kernel_id": "40437"}, {"ref": "umeshsati/otto-product-classification-predictions", "kernel_id": "108847"}, {"ref": "nsvasu/first-script", "kernel_id": "44925"}, {"ref": "channumuttal/notebook-17f5699a84ec2a9cee4a", "kernel_id": "69884"}, {"ref": "channumuttal/c-muttal", "kernel_id": "69881"}, {"ref": "jihyeseo/9-class-eda", "kernel_id": "958266"}, {"ref": "rohit1996/random-forest-benchmark-r-1", "kernel_id": "157005"}, {"ref": "rohit1996/radom-forest", "kernel_id": "157222"}, {"ref": "yunxileo/notebook-f18587c0e3165bc91f39", "kernel_id": "77190"}, {"ref": "mihaelasorostinean/study-data", "kernel_id": "109573"}, {"ref": "mihaelasorostinean/ottogroupchallenge", "kernel_id": "109598"}, {"ref": "shenba/otto-product-classification-predictions", "kernel_id": "106089"}, {"ref": "hisuka/notebook5c999bf164", "kernel_id": "96083"}, {"ref": "root009/notebook307cca0b76", "kernel_id": "199034"}, {"ref": "mastroattilio/notebook-43163761c01dcd156acc", "kernel_id": "77843"}, {"ref": "rmgservices/notebook-c412df8014c595f103ea", "kernel_id": "58010"}, {"ref": "rmgservices/notebook-333ad8ff1ab03b6b922d", "kernel_id": "58012"}, {"ref": "rmgservices/notebook-039d616d292d6ab27994", "kernel_id": "58013"}, {"ref": "nehabansal/basic-rf-and-xgboost-model", "kernel_id": "141193"}, {"ref": "ivanoliva/understanding-xgboost-model-on-otto-data", "kernel_id": "218710"}, {"ref": "sandeco/notebook40fa1dd6db", "kernel_id": "117968"}, {"ref": "ssu008/otto-product-classification-predictions", "kernel_id": "91525"}, {"ref": "abdulhamid/otto-product-classification-predictions", "kernel_id": "159707"}, {"ref": "tuanndd/notebook-2b251ff893fe588485c3", "kernel_id": "73829"}, {"ref": "nbacxx23/notebooka63a13c013", "kernel_id": "112531"}, {"ref": "niveln/mxnet-2", "kernel_id": "82189"}, {"ref": "stephen37/notebookc0815529f6", "kernel_id": "114420"}, {"ref": "allenwan/kaggle", "kernel_id": "112534"}, {"ref": "liyumeng/notebooke166e37794", "kernel_id": "92127"}, {"ref": "mahesh27/understanding-xgboost-model-on-otto-data", "kernel_id": "222654"}, {"ref": "bzzzzer/notebook077b4af3d4", "kernel_id": "94205"}, {"ref": "fahadsohrab/testin", "kernel_id": "93636"}, {"ref": "fahadsohrab/testagain", "kernel_id": "93637"}, {"ref": "fahadsohrab/red-buffer", "kernel_id": "93641"}, {"ref": "wangseven/notebook5535df4a5c", "kernel_id": "183390"}, {"ref": "wangseven/notebook9639e84af3", "kernel_id": "195832"}, {"ref": "wangseven/notebook9b2884fc45", "kernel_id": "184115"}, {"ref": "andylamb/otto-product-classification-predictions", "kernel_id": "104941"}, {"ref": "antoninraffin/notebook3e310e8d42", "kernel_id": "108894"}, {"ref": "zhengliangwu/test1", "kernel_id": "106670"}, {"ref": "dulinfu/train", "kernel_id": "119810"}, {"ref": "dulinfu/t-sne-visualization", "kernel_id": "119812"}, {"ref": "bmatsyakh/notebook96bad7515d", "kernel_id": "122174"}, {"ref": "bmatsyakh/products", "kernel_id": "122175"}, {"ref": "mcavdar/notebookbee87f6122", "kernel_id": "124360"}, {"ref": "limath/testtest", "kernel_id": "118557"}, {"ref": "milad121/notebookdd290575f7", "kernel_id": "167277"}, {"ref": "milad121/notebookf43a7ceb12", "kernel_id": "166806"}, {"ref": "milad121/notebook98c172d163", "kernel_id": "166801"}, {"ref": "milad121/notebookc35066e1f6", "kernel_id": "166802"}, {"ref": "milad121/xjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj", "kernel_id": "170119"}, {"ref": "milad121/notebookf23d22a4ce", "kernel_id": "169269"}, {"ref": "milad121/notebook08ab51e052", "kernel_id": "180359"}, {"ref": "milad121/notebookc81faf751e", "kernel_id": "180469"}, {"ref": "zhenhao/otto-product-classification-predictions", "kernel_id": "136793"}, {"ref": "zhenhao/notebooke2f8cd091b", "kernel_id": "135533"}, {"ref": "saurabhsuman4797/otto-clustering-new", "kernel_id": "145374"}, {"ref": "saurabhsuman4797/otto-clustering", "kernel_id": "145368"}, {"ref": "qsz1328/notebook1f82d5073f", "kernel_id": "119556"}, {"ref": "schengalath/otto-product-classification-predictions-1f8b5c53", "kernel_id": "135002"}, {"ref": "schengalath/otto-product-classification-predictions", "kernel_id": "134988"}, {"ref": "gaoyuan19930220/test12", "kernel_id": "123117"}, {"ref": "gaoyuan19930220/randomforest", "kernel_id": "121854"}, {"ref": "gaoyuan19930220/xgboost", "kernel_id": "122799"}, {"ref": "zrccxyb62/otto-test", "kernel_id": "124015"}, {"ref": "ish19655/otto-challeng", "kernel_id": "178549"}, {"ref": "ish19655/notebook9d909c800a", "kernel_id": "178550"}, {"ref": "ish19655/otto-challen", "kernel_id": "178552"}, {"ref": "ish19655/otto-challe", "kernel_id": "178553"}, {"ref": "ish19655/fork-of-otto-challe", "kernel_id": "178555"}, {"ref": "ish19655/otto-challenge", "kernel_id": "178543"}, {"ref": "halisnur/notebook0c80416741", "kernel_id": "150975"}, {"ref": "bd3014/xgboost-starter-code-with-r", "kernel_id": "165669"}, {"ref": "lexakamat/notebook126abe21dc", "kernel_id": "163420"}, {"ref": "skroot0019/notebookaca0cee53c", "kernel_id": "214080"}, {"ref": "skroot0019/notebook0b58d86b54", "kernel_id": "213451"}, {"ref": "prashant10/lr-gbm-rf-ensemble", "kernel_id": "509502"}, {"ref": "prashant10/fork-of-lr-gbm-rf-ensemble", "kernel_id": "509577"}, {"ref": "wchxu96/1111111", "kernel_id": "224621"}, {"ref": "kokogu/notebooka73f6d7100", "kernel_id": "186689"}, {"ref": "jianyu/otto-xgboost", "kernel_id": "223500"}, {"ref": "jianyu/raw-data", "kernel_id": "222784"}, {"ref": "changjian/otto-product-classification-predictions", "kernel_id": "204313"}, {"ref": "alonka/notebook169622a18f", "kernel_id": "264877"}, {"ref": "alonka/test2", "kernel_id": "265422"}, {"ref": "alonka/notebook664b970784", "kernel_id": "265402"}, {"ref": "alonka/notebooke2a44520b0", "kernel_id": "267613"}, {"ref": "alonka/notebook1241fccc38", "kernel_id": "266695"}, {"ref": "mayo3824/notebook4083d26294", "kernel_id": "214934"}, {"ref": "bookwormengr/notebook77edb08920", "kernel_id": "227541"}, {"ref": "grossmhm/random-forest-benchmark-r", "kernel_id": "264843"}, {"ref": "vsmurthy/notebook9dd59d6569", "kernel_id": "235840"}, {"ref": "sedzinfo/understanding-xgboost-model-on-otto-data", "kernel_id": "239749"}, {"ref": "berkeoral/notebook0386198b9c", "kernel_id": "271158"}, {"ref": "ronzohar/notebook15f032f0fe", "kernel_id": "266261"}, {"ref": "ronenk/notebookb973b9bffc", "kernel_id": "265081"}, {"ref": "barakp1419/notebook4c94bc809a", "kernel_id": "264878"}, {"ref": "aharongal79/notebook5381b5cbb9", "kernel_id": "265373"}, {"ref": "aharongal79/notebook3f3d5dc009", "kernel_id": "265831"}, {"ref": "harel123/notebooke7173468fb", "kernel_id": "265832"}, {"ref": "harel123/notebook6d2087a1e5", "kernel_id": "265849"}, {"ref": "jungminhur/notebook7ae57d6f3a", "kernel_id": "279530"}, {"ref": "masory/notebook0a3b3f5d46", "kernel_id": "274885"}, {"ref": "pratik2901/otto-product", "kernel_id": "424197"}, {"ref": "jiangzuo/1-10-neural-networks-otto", "kernel_id": "520083"}, {"ref": "jiangzuo/1-10-neural-networks-otto-homework", "kernel_id": "520087"}, {"ref": "akshayuppal3/notebook73c8ca1639", "kernel_id": "466325"}, {"ref": "madpiano/neural-network-to-classify-otto-products", "kernel_id": "977003"}, {"ref": "tassoeu/am-projeto-2", "kernel_id": "447550"}, {"ref": "tassoeu/otto-product-aprendizagem-de-m-quina", "kernel_id": "465363"}, {"ref": "itsmystyl123/kernel81957c00d8", "kernel_id": "859617"}, {"ref": "chinmay2312/cs514-aai", "kernel_id": "472302"}, {"ref": "reinwzhang/nn-otto-product-classifications-mlp-xgboost", "kernel_id": "950551"}, {"ref": "aoshili/ai-camp-neural-networks-otto-homework-c5943b", "kernel_id": "1712586"}, {"ref": "dingxwsimon/ai-camp-neural-networks-otto-homework", "kernel_id": "1714092"}, {"ref": "fredericyiding/ai-camp-neural-networks-otto-homework-fc5017", "kernel_id": "1700353"}, {"ref": "wakamezake/neural-networks-product-classification-otto", "kernel_id": "1838953"}, {"ref": "wakamezake/otto-simple-xgb", "kernel_id": "1897711"}, {"ref": "jiuzhang/ai-camp-neural-networks-otto", "kernel_id": "1040120"}, {"ref": "jiuzhang/ai-camp-neural-networks-otto-homework", "kernel_id": "1040121"}, {"ref": "raajtilaksarma/pytorch-nn-otto-group-product-classification", "kernel_id": "1977562"}, {"ref": "pavansanagapati/stochastic-gradient-boosting-with-xgboost", "kernel_id": "1321871"}, {"ref": "serenetu/ai-camp-neural-networks-otto-homework", "kernel_id": "1731989"}, {"ref": "lengjd/ai-camp-neural-networks-otto-homework-b53204", "kernel_id": "1699472"}, {"ref": "lengjd/ai-camp-neural-networks-otto-homework-4b4673", "kernel_id": "1699184"}, {"ref": "lengjd/ai-camp-neural-networks-otto-homework-2e2f71", "kernel_id": "1699155"}, {"ref": "lengjd/ai-camp-neural-networks-otto-homework-558bcf", "kernel_id": "1699131"}, {"ref": "dguo456/otto-group-neural-network", "kernel_id": "1404421"}, {"ref": "mok0na/tc1-projet-otto-xgboost", "kernel_id": "1980202"}, {"ref": "importedpantsu/ai-camp-neural-networks-otto-homework-1d25a6", "kernel_id": "1050601"}, {"ref": "annatu/neural-networks-product-classification-otto", "kernel_id": "1684662"}, {"ref": "cheng228/ai-camp-neural-networks-otto-homework", "kernel_id": "1054618"}, {"ref": "jungan/neural-networks-otto-products-classifier-sklearn", "kernel_id": "1693633"}, {"ref": "hotrank/ai-camp-neural-networks-otto-homework", "kernel_id": "1701377"}, {"ref": "springtree/ai-camp-neural-networks-otto-homework-2d6e5a", "kernel_id": "1696659"}, {"ref": "hudanivy/ai-camp-neural-networks-otto-homework", "kernel_id": "1692139"}, {"ref": "rxyjp2017/use-nn-to-classify-otto-group-products", "kernel_id": "1565137"}, {"ref": "yliu40/ai-camp-neural-networks-otto-homework-7fcd03", "kernel_id": "2547468"}, {"ref": "yliu40/ai-camp-neural-networks-otto-homework-36891a", "kernel_id": "2492559"}, {"ref": "yliu40/ai-camp-neural-networks-otto-homework-7a1bd8", "kernel_id": "2492694"}, {"ref": "yliu40/ai-camp-neural-networks-otto-homework", "kernel_id": "2483789"}, {"ref": "yliu40/ai-camp-neural-networks-otto-homework-2d3506", "kernel_id": "2871881"}, {"ref": "lanamoose/taask", "kernel_id": "2817958"}, {"ref": "anycode/otto-using-mlp", "kernel_id": "2421856"}, {"ref": "rpgfly/ai-camp-neural-networks-otto-homework", "kernel_id": "2463303"}, {"ref": "sunnhao/ai-camp-neural-networks-otto-homework", "kernel_id": "2570664"}, {"ref": "skyislimitz/ai-camp-neural-networks-otto-homework", "kernel_id": "2515305"}, {"ref": "patertrap/otto-product", "kernel_id": "2792806"}, {"ref": "zmey56/using-t-sne-and-pca-for-otto-group-product", "kernel_id": "3486576"}, {"ref": "dajiaoyang/ai-camp-neural-networks-otto-homework", "kernel_id": "3565496"}, {"ref": "sunlin432/ai-camp-neural-networks-otto-homework-972188", "kernel_id": "3565010"}, {"ref": "sunlin432/ai-camp-neural-networks-otto-homework-631f51", "kernel_id": "3564897"}, {"ref": "xieshuhan/otto-products", "kernel_id": "4978967"}, {"ref": "alexzhou007/ai-camp-neural-networks-otto-homework", "kernel_id": "4993558"}, {"ref": "lilih123/week6-session1-neural-networks-otto-homework", "kernel_id": "4978243"}, {"ref": "abhikjha/otto-products-classification-fastai", "kernel_id": "5146609"}, {"ref": "nyxcat61/ai-camp-neural-networks-otto-homework", "kernel_id": "5062142"}, {"ref": "maggiecao/ai-camp-neural-networks-otto-homework", "kernel_id": "5017468"}, {"ref": "handerblue/week5-session2-homework-neuralnetworks-ottopredict", "kernel_id": "5007386"}, {"ref": "ohsaeyoon/otto-group-final-0-43287", "kernel_id": "5824760"}, {"ref": "milkitten/ai-camp-neural-networks-otto-homework", "kernel_id": "5004092"}, {"ref": "sarina129/ai-camp-neural-networks-otto-homework", "kernel_id": "5049578"}, {"ref": "threecourse/gbdt-implementation-kaggle-days-tokyo", "kernel_id": "6953265"}, {"ref": "threecourse/gbdt-implementation-cython-kaggle-days-tokyo", "kernel_id": "6953656"}, {"ref": "finnbao/otto-product-classification-neural-networks", "kernel_id": "6417565"}, {"ref": "wakamezake/otto-eda", "kernel_id": "7808187"}, {"ref": "wakamezake/tf-keras-otto-neuralnetwork", "kernel_id": "7813048"}, {"ref": "cashfeg/hoxosh-problem-with-pca", "kernel_id": "8246468"}, {"ref": "titericz/t-sne-visualization-with-rapids", "kernel_id": "8269398"}, {"ref": "sanjaysane/xgb-tunned", "kernel_id": "8872752"}, {"ref": "iamprateek/exploring-multi-processing-with-xgboost-1-0-0", "kernel_id": "8072040"}, {"ref": "wakamezake/otto-meta-bagging", "kernel_id": "8572991"}, {"ref": "wakamezake/otto-simple-lgb", "kernel_id": "8570966"}, {"ref": "wakamezake/otto-stacking-level0", "kernel_id": "8570244"}, {"ref": "wakamezake/otto-stacking-level1", "kernel_id": "8720989"}, {"ref": "masatomatsui/otto-knn", "kernel_id": "8037768"}, {"ref": "masatomatsui/otto-simple-nn", "kernel_id": "8159755"}, {"ref": "masatomatsui/otto-simple-lgb", "kernel_id": "8159064"}, {"ref": "masatomatsui/otto-stacking-lgb", "kernel_id": "8244656"}, {"ref": "chizuchizu/problem-with-pca", "kernel_id": "8244746"}, {"ref": "sherwinng/otto-data-analysis-rf-with-chinese", "kernel_id": "9089533"}, {"ref": "nagomiso/feature-extraction-tfidf", "kernel_id": "9679382"}, {"ref": "nagomiso/predict-with-lightgbm-optuna", "kernel_id": "9018451"}, {"ref": "soheilarouhi/otto-group-competition", "kernel_id": "9165370"}, {"ref": "mehradbz/kerneldbcbc137c9", "kernel_id": "9232545"}, {"ref": "kzmszk/ensemble-weight", "kernel_id": "10232642"}, {"ref": "gengotaka/simple-lightgbm-kfold-on-otto", "kernel_id": "10792089"}, {"ref": "soumyasrivastava11/fork-of-otto-group-classification", "kernel_id": "10776140"}, {"ref": "ankitdatascience/hyperopt-for-hyperparameter-opt", "kernel_id": "11672261"}, {"ref": "ankitdatascience/random-and-bayes-search-hyp-optimization-gpu", "kernel_id": "11461255"}, {"ref": "ankitdatascience/xgboost-for-otto-dataset", "kernel_id": "11320030"}, {"ref": "rajaraman6195/stochastic", "kernel_id": "11800432"}, {"ref": "sachinsharma1123/otto-group-classification-acc-82", "kernel_id": "11665108"}, {"ref": "dksn14/stochastic-proj", "kernel_id": "11800896"}, {"ref": "kintaro1/notebook8f036e19a0", "kernel_id": "11840766"}, {"ref": "nurmannaz/homework-knn", "kernel_id": "12798309"}, {"ref": "hiroshi20180410/otto-7", "kernel_id": "12952820"}, {"ref": "aboodbah/2017003085-k-nearest-neighbours-abdulfatah", "kernel_id": "12621753"}, {"ref": "hiroshi20180410/otto-12", "kernel_id": "13196759"}, {"ref": "calcium1992/otto-product-nn-accu0-79", "kernel_id": "13890689"}, {"ref": "abdelrahmanamer/knn-with-rapids-cuml-example-713fbc", "kernel_id": "13421057"}, {"ref": "alievik/otto-group-product-classification", "kernel_id": "13780302"}, {"ref": "aboodbah/rapids-installation-example-working", "kernel_id": "13190446"}, {"ref": "prernahrmth/otto-multiclass-classification-rf-xgboost", "kernel_id": "14709125"}, {"ref": "dpl9753/random-forest-test", "kernel_id": "14731962"}, {"ref": "ardagundogdu/otto-xgb", "kernel_id": "14469725"}, {"ref": "innixma/autogluon-rapids-top-1", "kernel_id": "15482660"}, {"ref": "chiaoyicheng/ensemble-model", "kernel_id": "15315221"}, {"ref": "dawool1218/otto-group-210404-ml-p", "kernel_id": "15859151"}, {"ref": "akouaorsot/otto-multiclass", "kernel_id": "16331019"}, {"ref": "wuchenhong/notebooka272e3404c", "kernel_id": "16641710"}, {"ref": "rohankarthik/classification-using-otto-group-dataset", "kernel_id": "17415375"}, {"ref": "melanie7744/tps6-eda-comparison-to-tps5", "kernel_id": "17376051"}, {"ref": "yus002/are-tps-june-data-related-to-otto-data", "kernel_id": "17866632"}, {"ref": "yjin232/otto-group-classification-random-forest", "kernel_id": "19004991"}, {"ref": "babulalprasath/otto-group-classification-need-your-expert-help", "kernel_id": "20291345"}, {"ref": "ahmednassef/notebook147e9a03f6", "kernel_id": "20258819"}, {"ref": "vikassharma12911/otto-group-product", "kernel_id": "20233478"}, {"ref": "router00/notebook5a045a6aa4", "kernel_id": "21231450"}, {"ref": "kyuhwanjung2/stacking-12-11", "kernel_id": "22716439"}, {"ref": "flafuji/simple-otto-product-classification-eda-explained", "kernel_id": "22850816"}, {"ref": "starlywang/finding-ensemble-weights", "kernel_id": "23335339"}, {"ref": "nandeshwar/otto-pytorch-neural-net-product-classification", "kernel_id": "24476885"}, {"ref": "innixma/autogluon-rank-24-in-1-line-of-code", "kernel_id": "25741764"}, {"ref": "kyuhwanjung2/stacking-2022", "kernel_id": "25664808"}, {"ref": "ckayin/otto-product-classification-xgboost", "kernel_id": "25813713"}, {"ref": "clementgrasso/challenge-tne", "kernel_id": "26296514"}, {"ref": "kinnerakiran/svm-basic-code-example", "kernel_id": "28529188"}, {"ref": "habebaayman/otto-group-product-classification", "kernel_id": "30391035"}, {"ref": "tanujasanjayalai/notebookf5411ee1bd", "kernel_id": "30454593"}, {"ref": "xj1717/otto-dataset", "kernel_id": "30140795"}, {"ref": "zacharski/crate-and-barrel", "kernel_id": "32813098"}, {"ref": "wispetzar20/tae-clasificaci-n", "kernel_id": "32883265"}, {"ref": "niravnaik/otto-group-ml-algorithm", "kernel_id": "32468516"}, {"ref": "yashpl11/otto-product-classification", "kernel_id": "32380926"}, {"ref": "shubhamadsul97/otto-group-product-classification", "kernel_id": "32380948"}, {"ref": "ikechukwuelias/notebook08b94b4965", "kernel_id": "32672223"}, {"ref": "thamarestlouis/crate-and-barrel", "kernel_id": "32716185"}, {"ref": "akritiupadhyayks/ottogroup-xgbclassifier", "kernel_id": "35598121"}, {"ref": "isdreylorenzo/isdrey-lorenzo-otto-competition", "kernel_id": "36791119"}, {"ref": "engmahdisalah/otto-group-product-classification-challenge", "kernel_id": "40811052"}, {"ref": "kayceeagent/data-statistics", "kernel_id": "41702710"}, {"ref": "scottbrown843/otto-group-product-classification", "kernel_id": "47417943"}, {"ref": "zacharywooten/stat-348-final", "kernel_id": "47321262"}, {"ref": "lw2356/otto-group-classification", "kernel_id": "47479479"}, {"ref": "tyhawkes/otto-group-product-classification", "kernel_id": "47373543"}, {"ref": "peterhcampbell/otto-categories-final-project", "kernel_id": "47315882"}, {"ref": "messianhamster/pytorch-neural-network-solution-for-beginner", "kernel_id": "53880241"}, {"ref": "airatkhadiev/otto-group-product-pycaret-comparison-of-2-models", "kernel_id": "62506234"}, {"ref": "longnankay/pytorch-otto-group-product-classification-challeng", "kernel_id": "62130295"}, {"ref": "airatkhadiev/otto-group-classification-of-products", "kernel_id": "63571699"}, {"ref": "brinleyostler/finalottoproductclassification", "kernel_id": "71186716"}, {"ref": "rebekahwebb/ottoproductfinal", "kernel_id": "71362715"}, {"ref": "jareyes1324/otto-group-product-classification", "kernel_id": "72746699"}, {"ref": "dariandyer/ottogroup", "kernel_id": "72722509"}, {"ref": "stocktonnelsonaubrey/otto-product-classification", "kernel_id": "72723997"}, {"ref": "jianxinliu/ai-camp-neural-networks-otto", "kernel_id": "74021764"}, {"ref": "oksanaturii/otto-cvm", "kernel_id": "82373764"}, {"ref": "logicanessim/xgboost-3", "kernel_id": "82695460"}, {"ref": "logicanessim/xgboost-8", "kernel_id": "82701374"}, {"ref": "logicanessim/full-levels-1", "kernel_id": "82743278"}, {"ref": "logicanessim/full-level-2", "kernel_id": "82845013"}, {"ref": "logicanessim/full-level-3", "kernel_id": "82886536"}, {"ref": "esraaahmedselim/fork-of-otto-group-classification", "kernel_id": "82583307"}, {"ref": "esraaahmedselim/full-level-3", "kernel_id": "82966465"}, {"ref": "samyakshaha/otto-classification", "kernel_id": "82858283"}, {"ref": "samyakshaha/sratk-fold-otto-classification", "kernel_id": "82898949"}, {"ref": "logicanessim/fulllevels-4", "kernel_id": "83100891"}, {"ref": "esraaahmedselim/fulllevels-4", "kernel_id": "83104250"}, {"ref": "bilgingunes/otto-group-product-classification-challenge", "kernel_id": "85138434"}, {"ref": "wangyifei9988/ai24rmd08", "kernel_id": "86542768"}, {"ref": "nakazawayuuto/exlast-25rmd44", "kernel_id": "86479591"}, {"ref": "shuobin/otto-group-product-classification-to-upgrade", "kernel_id": "86401154"}, {"ref": "ssssmd/fork-of-notebooke363073913", "kernel_id": "87525545"}, {"ref": "ssssmd/notebook9b11088a93", "kernel_id": "87538884"}, {"ref": "ktaimp/otto-conpe-after", "kernel_id": "87221417"}, {"ref": "evanoleary/alexandria-competition-otto-group-product-370775", "kernel_id": "100939173"}, {"ref": "yeefanlu/otto-by-linear-model", "kernel_id": "102787330"}, {"ref": "asjerty/boosted-trees-random-forest-and-naive-bayes", "kernel_id": "103768604"}, {"ref": "juliasiebert100/otto-group-predictions-notebook", "kernel_id": "103599729"}, {"ref": "michaelbjornberg/stat-348-final-project", "kernel_id": "103735177"}, {"ref": "nathanbrueck/otto-group-classification", "kernel_id": "103589766"}, {"ref": "nickbell6/otto-product-classification-bell", "kernel_id": "103696619"}, {"ref": "feryelboubeker/otto-group-product-classification-solution", "kernel_id": "105572459"}, {"ref": "aloneintokyo11/hpo-comparsion-bayesian-vs-grid-vs-random", "kernel_id": "112284568"}, {"ref": "wangxufeng/autogluon-otto", "kernel_id": "116847737"}, {"ref": "haideptry/b-i-6", "kernel_id": "133513456"}, {"ref": "innixma/tabpfn-3-5-rank-1-in-1-line-of-code", "kernel_id": "134503001"}]}
{"competition_id": "4294", "kernels": [{"ref": "kyungjin94/facebook-recruiting-iv-human-or-robot", "kernel_id": "8164772"}, {"ref": "choijh9404/day4-facebook", "kernel_id": "8164768"}, {"ref": "lynnshin/notebookff74bb0af2", "kernel_id": "11790238"}, {"ref": "lingjie0/prediction-fb", "kernel_id": "21280289"}, {"ref": "lingjie0/eda-fb-data", "kernel_id": "21251127"}, {"ref": "lingjie0/model-fitting-fb", "kernel_id": "21257928"}, {"ref": "deepakkumargunjetti/bot-or-human", "kernel_id": "22000108"}, {"ref": "dilipkumar2k6/facebook-recruiting-iv-human-or-robot", "kernel_id": "23809684"}, {"ref": "chongzhenjie/human-or-robot-random-forest", "kernel_id": "23676544"}, {"ref": "meln1337/facebook-notebook", "kernel_id": "29313684"}, {"ref": "f74091093/notebooked3d984aae", "kernel_id": "47357677"}, {"ref": "szaminabbas/zamin-ai-project", "kernel_id": "48862859"}, {"ref": "szaminabbas/fork-of-zamin-ai-project", "kernel_id": "48872861"}, {"ref": "deepbdoshi/facebook-recruiting", "kernel_id": "51525416"}, {"ref": "hakimaarroubat/detection-of-robotic-bidding", "kernel_id": "76083533"}, {"ref": "cprk87/original-ver-1-backup", "kernel_id": "86408351"}, {"ref": "cprk87/original-get-it-running", "kernel_id": "87610928"}, {"ref": "ragavendransara/dl-test", "kernel_id": "115149024"}, {"ref": "chengkeikei2002/pdl-tabm", "kernel_id": "115805087"}, {"ref": "ragavendransara/robot-bid-deep-learning-training-raga", "kernel_id": "117396799"}]}
{"competition_id": "4315", "kernels": []}
{"competition_id": "4319", "kernels": []}
{"competition_id": "4332", "kernels": [{"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "bhatnagardaksh/introduction-to-regular-expressions", "kernel_id": "42224723"}, {"ref": "ellenatyree/week-14-pt-2", "kernel_id": "56290450"}]}
{"competition_id": "4353", "kernels": [{"ref": "benhamner/fiddling-1", "kernel_id": "153"}, {"ref": "benhamner/fiddling2", "kernel_id": "156"}, {"ref": "dchudz/reputation-log-scale", "kernel_id": "194"}, {"ref": "dchudz/fiddling2", "kernel_id": "166"}, {"ref": "dchudz/input-files", "kernel_id": "144"}, {"ref": "dchudz/head-of-train", "kernel_id": "151"}, {"ref": "dchudz/open-closed-by-title-length", "kernel_id": "152"}, {"ref": "ghostintheshell/trial-r-1", "kernel_id": "7783"}, {"ref": "blehmanade/reputation-log-scale", "kernel_id": "174"}, {"ref": "sanary/practice", "kernel_id": "13658"}, {"ref": "sanary/histogram-open-closed-by-length", "kernel_id": "13562"}, {"ref": "sanary/head-of-train", "kernel_id": "13457"}, {"ref": "janhelge/input-files", "kernel_id": "6607"}, {"ref": "nwongprasert/notebook-0dd3dcfc4513030a7cd6", "kernel_id": "82644"}, {"ref": "nwongprasert/notebook-ca1a45c55e76c305baf6", "kernel_id": "82645"}, {"ref": "nwongprasert/notebook-ed470a382197a9e4bf63", "kernel_id": "82731"}, {"ref": "viveksharma/practice", "kernel_id": "89785"}, {"ref": "quangvuk/kernel-101-starter", "kernel_id": "254216"}]}
{"competition_id": "4360", "kernels": []}
{"competition_id": "4363", "kernels": []}
{"competition_id": "4366", "kernels": [{"ref": "antgoldbloom/simple-lasagne-nn", "kernel_id": "24928"}, {"ref": "antgoldbloom/notebook-3aa02fc73717e6003a9d", "kernel_id": "24929"}, {"ref": "antgoldbloom/notebooka5050839b7", "kernel_id": "108500"}, {"ref": "alexxanderlarko/nn1106", "kernel_id": "5762"}, {"ref": "alexxanderlarko/xgboost-starter-code-python-0-69", "kernel_id": "481"}, {"ref": "alexxanderlarko/simple-lasagne-nn", "kernel_id": "1664"}, {"ref": "alexxanderlarko/lasagne-sample-01", "kernel_id": "4386"}, {"ref": "alexxanderlarko/lasagne-nn-3", "kernel_id": "4684"}, {"ref": "alexxanderlarko/nn325x325x160", "kernel_id": "5158"}, {"ref": "alexxanderlarko/xgboost-rem", "kernel_id": "5646"}, {"ref": "benhamner/painless-data-wrangling-with-dplyr", "kernel_id": "5704"}, {"ref": "benhamner/nearestneighbors-jl-added-to-julia", "kernel_id": "5238"}, {"ref": "benhamner/motion-testing-bugfix", "kernel_id": "4955"}, {"ref": "benhamner/interactive-map-option-possible-bugfix", "kernel_id": "4577"}, {"ref": "benhamner/fiddling-with-r-3", "kernel_id": "4333"}, {"ref": "benhamner/mosquito-counts-by-year-using-gadfly", "kernel_id": "3076"}, {"ref": "benhamner/julia-default-script", "kernel_id": "3102"}, {"ref": "benhamner/mosquito-distribution-map-single-day", "kernel_id": "536"}, {"ref": "gshguru/simple-lasagne-nnb", "kernel_id": "5875"}, {"ref": "gshguru/simple-lasagne-nn3", "kernel_id": "4833"}, {"ref": "domcastro/check-your-validation-30-70-split", "kernel_id": "3180"}, {"ref": "jbm1966/map-example-measurement-locations", "kernel_id": "1129"}, {"ref": "dchudz/another-map-option-interactive", "kernel_id": "4433"}, {"ref": "dchudz/starter-logistic-regression-in-r-gam-ve", "kernel_id": "2691"}, {"ref": "dchudz/example-script-at-open-data-science", "kernel_id": "4894"}, {"ref": "dchudz/r-starter-script", "kernel_id": "718"}, {"ref": "dchudz/rmarkdown-starter-script-1", "kernel_id": "725"}, {"ref": "dchudz/baby-steps", "kernel_id": "1213"}, {"ref": "dchudz/where-mosquitos-were-measured", "kernel_id": "1292"}, {"ref": "dchudz/this-is-a-test", "kernel_id": "1437"}, {"ref": "dchudz/where-are-the-measurement-points", "kernel_id": "424"}, {"ref": "dchudz/input-files-1", "kernel_id": "395"}, {"ref": "dchudz/which-python", "kernel_id": "475"}, {"ref": "dchudz/map-of-mosquito-counts-on-one-day", "kernel_id": "432"}, {"ref": "dchudz/mosquito-count-time-series", "kernel_id": "433"}, {"ref": "dchudz/show-map-image-in-python", "kernel_id": "434"}, {"ref": "dchudz/when-are-there-records-at-each-site", "kernel_id": "426"}, {"ref": "dchudz/r-default-text", "kernel_id": "439"}, {"ref": "mnarayan/xgboost-starter-code-python-0-70", "kernel_id": "598"}, {"ref": "abhishek/vote-me-up", "kernel_id": "2539"}, {"ref": "mmucha/xgboost-starter-code-python-0-69", "kernel_id": "493"}, {"ref": "cleerline/my-first-script", "kernel_id": "4983"}, {"ref": "cleerline/first-r", "kernel_id": "4984"}, {"ref": "mattvonrohr/xgboost-starter-code-python-0-69", "kernel_id": "1212"}, {"ref": "signipinnis/simple-lasagne-nnb", "kernel_id": "5883"}, {"ref": "signipinnis/simple-lasagne-nnb-m2", "kernel_id": "6007"}, {"ref": "heyitsryan678/baby-steps", "kernel_id": "2896"}, {"ref": "kymhorsell1/simple-lasagne-nnbz", "kernel_id": "6241"}, {"ref": "kymhorsell1/simple-lasagne-nnbb", "kernel_id": "5964"}, {"ref": "kymhorsell1/simple-lasagne-nnz", "kernel_id": "5917"}, {"ref": "kymhorsell1/enhanced2", "kernel_id": "5919"}, {"ref": "kymhorsell1/check-your-validation-30-70-split", "kernel_id": "4430"}, {"ref": "mathurinache/xgboost-starter-code-python-0-69-msdw", "kernel_id": "3135"}, {"ref": "mathurinache/simple-lasagne-nnn", "kernel_id": "3228"}, {"ref": "mathurinache/xgboost-starter-code-python-0-69", "kernel_id": "1715"}, {"ref": "mathurinache/simple-lasagne-nn", "kernel_id": "1696"}, {"ref": "katzmann/test-12321", "kernel_id": "955"}, {"ref": "timcdlucas/firsttest", "kernel_id": "657"}, {"ref": "katedavis/correlogram", "kernel_id": "5027"}, {"ref": "blippy/blippy-s-test", "kernel_id": "1038"}, {"ref": "kunjal/test1", "kernel_id": "773"}, {"ref": "keithtrnka/annual-precip-by-station", "kernel_id": "2694"}, {"ref": "keithtrnka/species-by-year", "kernel_id": "1604"}, {"ref": "alemorales/xgboost-starter-code-python-0-69", "kernel_id": "5717"}, {"ref": "alemorales/gradientboost-744", "kernel_id": "6023"}, {"ref": "shuntaromaeda/testscript", "kernel_id": "947"}, {"ref": "thakurrajanand/testing-1", "kernel_id": "5170"}, {"ref": "hmnshu/simple-lasagne-nn", "kernel_id": "5707"}, {"ref": "binghsu/xgboost-starter-code-python-0-69", "kernel_id": "467"}, {"ref": "earino/beating-the-benchmark-0-71", "kernel_id": "4936"}, {"ref": "vcwong/xgboost-starter-code-python-v1", "kernel_id": "760"}, {"ref": "jbobtaylor/show-map-image-in-python", "kernel_id": "807"}, {"ref": "mlandry/starterpy", "kernel_id": "5334"}, {"ref": "mlandry/h20-gbm", "kernel_id": "5516"}, {"ref": "mlandry/h2o-starter", "kernel_id": "452"}, {"ref": "mennotaanman/motion-chart-visualization", "kernel_id": "1510"}, {"ref": "mennotaanman/motion", "kernel_id": "1512"}, {"ref": "dandye/xgboost-starter-code-python-0-69", "kernel_id": "693"}, {"ref": "majhra/weatherman", "kernel_id": "1393"}, {"ref": "nhlx5haze/simple-lasagne-nnb", "kernel_id": "6374"}, {"ref": "nhlx5haze/check-your-validation-30-70-split", "kernel_id": "3312"}, {"ref": "inversion/mosquitos-count-heatmap-by-year", "kernel_id": "4838"}, {"ref": "credo61020/pattem-trial", "kernel_id": "525"}, {"ref": "polyaxon/polyaxon", "kernel_id": "687"}, {"ref": "vkushwaha/keras-deep-net-starter-code", "kernel_id": "645"}, {"ref": "milivojevic/simple-lasagne-nn-f3", "kernel_id": "4632"}, {"ref": "craveiro/previously", "kernel_id": "793"}, {"ref": "clustifier/simple-lasagne-nn3", "kernel_id": "4884"}, {"ref": "juandoso/xgboost-starter-code-python-0-69", "kernel_id": "5391"}, {"ref": "juandoso/beating-the-benchmark-0-71", "kernel_id": "5378"}, {"ref": "juandoso/loadingfiles", "kernel_id": "454"}, {"ref": "juandoso/keras-deep-net-starter-code", "kernel_id": "1229"}, {"ref": "sudalairajkumar/starter-logistic-regression-in-r", "kernel_id": "466"}, {"ref": "psilogram/xgboost-starter-code-python-0-69", "kernel_id": "531"}, {"ref": "vadimomelchenko/starter-logistic-regression-in-r", "kernel_id": "3283"}, {"ref": "vadimomelchenko/experimentz", "kernel_id": "4426"}, {"ref": "mpearmain/simple-lasagne-nn", "kernel_id": "4773"}, {"ref": "mpearmain/simple-lasagne-nn-v7", "kernel_id": "5142"}, {"ref": "nkhuyu/onlyspeciese", "kernel_id": "6199"}, {"ref": "zidane100e/simple-lasagne-nn", "kernel_id": "4555"}, {"ref": "anujkh/enhanced", "kernel_id": "5952"}, {"ref": "amielm/testdshbvkjasbdougvbasoiuvbusihgv", "kernel_id": "981"}, {"ref": "retroam/tro-m", "kernel_id": "610"}, {"ref": "barisumog/random-late-benchmark", "kernel_id": "5900"}, {"ref": "shihpeng/my-first-try", "kernel_id": "5225"}, {"ref": "davutpolat/xgboost-starter-code-python-0-69", "kernel_id": "4916"}, {"ref": "akilaw/keras-deep-net-starter-code", "kernel_id": "1266"}, {"ref": "akilaw/xgboost-starter-code-python-0-69", "kernel_id": "1274"}, {"ref": "philschmidt/xgboost-starter-code-python-0-69", "kernel_id": "590"}, {"ref": "gayatrimahesh/starter-logistic-regression-in-r", "kernel_id": "494"}, {"ref": "gayatrimahesh/cv-glmnet-starter-code", "kernel_id": "498"}, {"ref": "alamot/xgboost-starter-code-python-0-69", "kernel_id": "621"}, {"ref": "gzsiceberg/beating-the-benchmark-0-71", "kernel_id": "2738"}, {"ref": "dnchelst/consolidate-mosquito-data", "kernel_id": "4764"}, {"ref": "kazanova/simple-lasagne-nnb", "kernel_id": "6156"}, {"ref": "kazanova/enhanced", "kernel_id": "6054"}, {"ref": "dimitrislev/simple-lasagne-nn", "kernel_id": "5354"}, {"ref": "leizhou/firstkaggle", "kernel_id": "5703"}, {"ref": "triskelion/baby-steps", "kernel_id": "1105"}, {"ref": "triskelion/random-late-benchmark", "kernel_id": "5897"}, {"ref": "srividyakr/notebookbff31123bc", "kernel_id": "227520"}, {"ref": "xuqiang1990/counts-distribution-and-map-on-one-day", "kernel_id": "482"}, {"ref": "enigmadecoder/sample-script", "kernel_id": "4456"}, {"ref": "reticolo/simple-lasagne-nn", "kernel_id": "4566"}, {"ref": "fchollet/keras-deep-net-starter-code", "kernel_id": "541"}, {"ref": "vpdelta/testing", "kernel_id": "635"}, {"ref": "isaac7/explore-data", "kernel_id": "97317"}, {"ref": "longnguyen/wnvpredict", "kernel_id": "249915"}, {"ref": "sidraina89/west-nile-virus", "kernel_id": "15215"}, {"ref": "neilsummers/west-nile-heatmap-by-year", "kernel_id": "1177"}, {"ref": "petertsehsun/starter-logistic-regression-in-r", "kernel_id": "625"}, {"ref": "ezequielaguilar/https-www-kaggle-com-c-predict-west-ni", "kernel_id": "698"}, {"ref": "zylix666/zylix666-first-class", "kernel_id": "34498"}, {"ref": "zylix666/notebook-10e24aab5d56a6347236", "kernel_id": "34499"}, {"ref": "zylix666/notebook-048a3a43e228e2639c48", "kernel_id": "34500"}, {"ref": "zechxu/testing", "kernel_id": "1609"}, {"ref": "jkbschwarz/xgboost-starter-code-python-0-69", "kernel_id": "881"}, {"ref": "navsun/test1", "kernel_id": "4624"}, {"ref": "mohdatir/starter-logistic-regression-in-r", "kernel_id": "1206"}, {"ref": "flashshah/starter-logistic-regression-in-r", "kernel_id": "8412"}, {"ref": "ronanmoynihan/keras-deep-net-starter-code", "kernel_id": "655"}, {"ref": "qiujiqiong/h20-gbm-0-73057", "kernel_id": "5876"}, {"ref": "qiujiqiong/simple-lasagne-nnb-qiqi-test", "kernel_id": "6012"}, {"ref": "charmchi/beating-the-benchmark-1", "kernel_id": "4448"}, {"ref": "charmchi/simple-lasagne-nn", "kernel_id": "3255"}, {"ref": "karthiv/notebook2e676bbc70", "kernel_id": "178029"}, {"ref": "farmiurl/script-1", "kernel_id": "5963"}, {"ref": "tianzhou/notebook-d9cdfabc46248cd60f95", "kernel_id": "39618"}, {"ref": "benpost/mosquito-distribution-map-single-day", "kernel_id": "956"}, {"ref": "vmachan/test1", "kernel_id": "679"}, {"ref": "dfranklin70/starter-logistic-regression-in-r", "kernel_id": "713"}, {"ref": "weilizhang/west-nile-heatmap", "kernel_id": "2442"}, {"ref": "rshield/xgboost-starter-code-python-0-69", "kernel_id": "727"}, {"ref": "mikezawitkowski/mikeipynbexploration", "kernel_id": "48655"}, {"ref": "mikezawitkowski/notebook-06dd927e394c955db715", "kernel_id": "48656"}, {"ref": "mikezawitkowski/scriptexploration", "kernel_id": "48657"}, {"ref": "psaadbye/simple-lasagne-nnb-2week-weather", "kernel_id": "6016"}, {"ref": "romanahmed/testing-kaggle-script", "kernel_id": "3144"}, {"ref": "go4rajat/notebook0a6414c212", "kernel_id": "230695"}, {"ref": "chitterman/imi-on-the-nile-virus", "kernel_id": "1451"}, {"ref": "jeffrichley/when-are-there-records-at-each-site", "kernel_id": "2553"}, {"ref": "virgil0/testa", "kernel_id": "2462"}, {"ref": "mahdimoqri/starter-logistic-regression-in-r", "kernel_id": "975"}, {"ref": "lancezhange/xgboost-starter-code-python-0-69", "kernel_id": "733"}, {"ref": "bharatgarg/naive", "kernel_id": "4943"}, {"ref": "bharatgarg/adaboost", "kernel_id": "4944"}, {"ref": "bharatgarg/adaboost-valid-score", "kernel_id": "4951"}, {"ref": "bharatgarg/garbage", "kernel_id": "7691"}, {"ref": "tvural/starter", "kernel_id": "2922"}, {"ref": "tharindudr/merge-spray", "kernel_id": "5866"}, {"ref": "tharindudr/glm-with-poisson-family-lb-0-74826", "kernel_id": "6167"}, {"ref": "aymankh/simple-lasagne-nn", "kernel_id": "2505"}, {"ref": "vascovv/positive-traps-per-week", "kernel_id": "1090"}, {"ref": "vascovv/west-nile-heatmap", "kernel_id": "875"}, {"ref": "daretoshare/gam-sub", "kernel_id": "919"}, {"ref": "wrudebusch/notebook-61a5ee2834fffe8edae3", "kernel_id": "51987"}, {"ref": "wrudebusch/beating-the-benchmark-0-71", "kernel_id": "51988"}, {"ref": "wrudebusch/importance-of-features-forest", "kernel_id": "51980"}, {"ref": "ouranos/simple-lasagne-nnb", "kernel_id": "4928"}, {"ref": "ouranos/simple-lasagne-nn", "kernel_id": "3222"}, {"ref": "hugomc/find-the-closest-weather-station", "kernel_id": "1446"}, {"ref": "dopelearner/simple-lasagne-nn", "kernel_id": "4537"}, {"ref": "yunali/testfile2", "kernel_id": "1031"}, {"ref": "jasiekgda/simple-lasagne-nnb-lc", "kernel_id": "7015"}, {"ref": "teracrator/xgboost-starter-code-python-0-69", "kernel_id": "1010"}, {"ref": "michaelkhan3/westnileprediction", "kernel_id": "801"}, {"ref": "stevendu/forked-keras-deep-net-starter-code", "kernel_id": "5294"}, {"ref": "heartreader/notebook-ae5560455ecfc6fcf962", "kernel_id": "76144"}, {"ref": "heartreader/west-nile-heatmap", "kernel_id": "48397"}, {"ref": "heartreader/notebook-7f9d9cf9b6791d46a671", "kernel_id": "49763"}, {"ref": "psahoo/notebookaf6a98dabe", "kernel_id": "130326"}, {"ref": "khyh00/west-nile-heatmap", "kernel_id": "20570"}, {"ref": "tsokelanare/xgboost-starter-code-python-0-69", "kernel_id": "923"}, {"ref": "sumit2210/sumit", "kernel_id": "792"}, {"ref": "brianbai/west-nile-heatmap-by-year", "kernel_id": "4898"}, {"ref": "brianbai/mosquitos-and-average-temperature-plot", "kernel_id": "4872"}, {"ref": "mrandrewandrade/trying-out-kaggle-scripts", "kernel_id": "6125"}, {"ref": "lhy123/adaboost", "kernel_id": "5009"}, {"ref": "abhisheksimhadri/simple-lasagne-nn", "kernel_id": "3238"}, {"ref": "dustinthewind/yearsummarymosqinfect", "kernel_id": "3005"}, {"ref": "daniharsh28/start-py", "kernel_id": "699"}, {"ref": "pbkaran/simple-lasagne-nn", "kernel_id": "5433"}, {"ref": "melaanya/fejfdddd", "kernel_id": "118685"}, {"ref": "ff243305/test1", "kernel_id": "852"}, {"ref": "bharathsrikanth/my-script", "kernel_id": "2573"}, {"ref": "patchauv/counts-distribution-and-map-on-one-day", "kernel_id": "2794"}, {"ref": "artist/feature-of-train-data", "kernel_id": "5247"}, {"ref": "malais/hello-world", "kernel_id": "6165"}, {"ref": "ctrlaltdel/west-nile-virus-prep-and-model", "kernel_id": "171635"}, {"ref": "anatole/enhanced", "kernel_id": "5887"}, {"ref": "kylenpayne/explore-a-little", "kernel_id": "4769"}, {"ref": "rgaddati/notebook-cc65b497a416fdb4c270", "kernel_id": "47021"}, {"ref": "molozhenko/simple-lasagne-nnb", "kernel_id": "6049"}, {"ref": "anjanaagrawal/data-exploration-worked-for-me", "kernel_id": "6808"}, {"ref": "jeffrharrison/xgboost-starter-code-python-0-69", "kernel_id": "617"}, {"ref": "sjfcannon/scratch", "kernel_id": "690"}, {"ref": "sjfcannon/spray-heatmap-by-year-species", "kernel_id": "2685"}, {"ref": "xuguozhi/keras-deep-net-starter-code", "kernel_id": "940"}, {"ref": "deepcnn/xgboost-starter-code-python", "kernel_id": "549"}, {"ref": "deepcnn/gbm-h20", "kernel_id": "5627"}, {"ref": "deepcnn/xgb-0-69", "kernel_id": "5630"}, {"ref": "deepcnn/nn-lasegne", "kernel_id": "5129"}, {"ref": "deepcnn/simple-lasagne-nn-m", "kernel_id": "3117"}, {"ref": "findingsatya/satya", "kernel_id": "1556"}, {"ref": "iezepov/painless-data-wrangling-with-dplyr", "kernel_id": "5107"}, {"ref": "iezepov/starter-logistic-regression-in-r", "kernel_id": "1574"}, {"ref": "jpison/beating-the-benchmark-0-71", "kernel_id": "3286"}, {"ref": "ysoccio/notebook-f6fd7fbe0d1b1c72a2b4", "kernel_id": "24292"}, {"ref": "hmboxwala/glm-with-poisson-family-lb-0-74826", "kernel_id": "5484"}, {"ref": "wencheih/notebook2b35227598", "kernel_id": "87527"}, {"ref": "thibaultverhoeven/keras-deep-net-starter-code", "kernel_id": "580"}, {"ref": "thibaultverhoeven/counts-distribution-and-map-on-one-day", "kernel_id": "581"}, {"ref": "uiryeong/west-nile-heatmap", "kernel_id": "1176"}, {"ref": "sushma9/wnvrscript", "kernel_id": "3314"}, {"ref": "vasantha/jingle", "kernel_id": "45569"}, {"ref": "vasantha/jingle4", "kernel_id": "45790"}, {"ref": "vasantha/notebook-516ed91783b7b8fda846", "kernel_id": "45780"}, {"ref": "vasantha/notebook-afb8095a9e63f2dcc390", "kernel_id": "45782"}, {"ref": "vasantha/jingle2", "kernel_id": "45784"}, {"ref": "vasantha/jingle-3", "kernel_id": "45786"}, {"ref": "vasantha/iniyan", "kernel_id": "4399"}, {"ref": "shawn775/simple-lasagne-nn", "kernel_id": "1699"}, {"ref": "bitsofbits/simple-lasagne-nn", "kernel_id": "1643"}, {"ref": "aesnau/xgboost-starter-code-python-0-69", "kernel_id": "1633"}, {"ref": "igorber/notebook-30cbdb75a3107fd16c2c", "kernel_id": "30544"}, {"ref": "igorber/notebook-b2c77dd8db7418d3a39b", "kernel_id": "30531"}, {"ref": "igorber/notebook-4a03dc701401ccbf661d", "kernel_id": "30532"}, {"ref": "nongeek/simple-lasagne-nn", "kernel_id": "4923"}, {"ref": "thenokondi/facet-map-by-year-and-virus-status", "kernel_id": "1236"}, {"ref": "alexadler/visualize-your-position", "kernel_id": "1220"}, {"ref": "dilipreddydevaram/first", "kernel_id": "1203"}, {"ref": "wsbbu03/counts-distribution-and-map-on-one-day", "kernel_id": "611"}, {"ref": "miguel76/initialtest", "kernel_id": "1272"}, {"ref": "miguel76/rtest", "kernel_id": "1275"}, {"ref": "duttaroy/beating-the-benchmark", "kernel_id": "4330"}, {"ref": "duttaroy/enhanced", "kernel_id": "5139"}, {"ref": "duttaroy/new-test", "kernel_id": "6218"}, {"ref": "wooohooo/simple-lasagne-nn", "kernel_id": "4882"}, {"ref": "wangyuqi1991/simple-lasagne-nn", "kernel_id": "3270"}, {"ref": "machine/keras-deep-net-starter-code", "kernel_id": "686"}, {"ref": "machine/xgboost-starter-code-python-0-69", "kernel_id": "513"}, {"ref": "tsereda/keras-deep-net-starter-code", "kernel_id": "865"}, {"ref": "bayharborbutcher/starter-logistic-regression-in-r-gam-ve", "kernel_id": "715"}, {"ref": "headtomecca/my-first-time", "kernel_id": "10437"}, {"ref": "bhaskey/testr", "kernel_id": "6819"}, {"ref": "attivillisriharsha/rmarkdown", "kernel_id": "1499"}, {"ref": "cindytraub/mosquito-distribution-map-single-day", "kernel_id": "629"}, {"ref": "cindytraub/xgboost-starter-code-python-0-69", "kernel_id": "627"}, {"ref": "jm12303542/xgboost-starter-code-python-0-69", "kernel_id": "601"}, {"ref": "vk4arm/xgboost-python", "kernel_id": "4748"}, {"ref": "vk4arm/simple-lasagne-nn-with-spray-data-v3", "kernel_id": "5593"}, {"ref": "vk4arm/simple-lasagne-nn12", "kernel_id": "5512"}, {"ref": "kotomord/simple-lasagne-nn-with-spray-data", "kernel_id": "5583"}, {"ref": "kotomord/simple-lasagne-nn", "kernel_id": "4702"}, {"ref": "kotomord/simple-lasagne-nnb-small-shuffle", "kernel_id": "6150"}, {"ref": "lmatamba/westnile", "kernel_id": "1001"}, {"ref": "jasoncolon/notebooka244a78ab3", "kernel_id": "92908"}, {"ref": "wyywyp/my-test", "kernel_id": "4329"}, {"ref": "wyywyp/copy-from-simple-lasagne-nn", "kernel_id": "4529"}, {"ref": "wyywyp/adaboost-from-others", "kernel_id": "5002"}, {"ref": "designerkenji/rmarkdown-starter-script", "kernel_id": "2525"}, {"ref": "designerkenji/find-the-closest-weather-station", "kernel_id": "2520"}, {"ref": "askrotov/simple-lasagne-nn55", "kernel_id": "5742"}, {"ref": "askrotov/simple-lasagne-nn", "kernel_id": "5645"}, {"ref": "askrotov/enhanced3", "kernel_id": "5595"}, {"ref": "askrotov/lb-0-71957-updated-forked-code", "kernel_id": "5569"}, {"ref": "askrotov/enhanced2", "kernel_id": "5574"}, {"ref": "askrotov/enhanced1", "kernel_id": "5489"}, {"ref": "jerrylin/xgboost-starter-code-python-0-69", "kernel_id": "582"}, {"ref": "hiendang/compute-auc-on-valid-set", "kernel_id": "4536"}, {"ref": "elmira/simple-lasagne-nn", "kernel_id": "4490"}, {"ref": "kg2irq13/enhanced-test", "kernel_id": "5218"}, {"ref": "despurious/simple-lasagne-nn", "kernel_id": "4462"}, {"ref": "despurious/simple-lasagne-nn3", "kernel_id": "4942"}, {"ref": "cs822am/xgboost-starter-code-python-0-69", "kernel_id": "526"}, {"ref": "melindasmith/test-script", "kernel_id": "783"}, {"ref": "maryfatima/xgboost-starter-code-python", "kernel_id": "723"}, {"ref": "maryfatima/xgboost-python", "kernel_id": "1235"}, {"ref": "maryfatima/xgboost-starter-code-python-0-69", "kernel_id": "557"}, {"ref": "kakuta0/python-demo", "kernel_id": "551"}, {"ref": "ianintas/is-there-wnv-at-this-time-of-the-year", "kernel_id": "5585"}, {"ref": "ianintas/mosquitos-and-average-temperature-plot", "kernel_id": "4915"}, {"ref": "oconnoda/trap-locations-with-mosquito-count", "kernel_id": "2560"}, {"ref": "oconnoda/population-model", "kernel_id": "6372"}, {"ref": "oconnoda/roc-curve", "kernel_id": "5746"}, {"ref": "bazooz/notebook33b79f6cdb", "kernel_id": "136219"}, {"ref": "bazooz/notebook7b237af677", "kernel_id": "136220"}, {"ref": "bazooz/notebook023bd425a9", "kernel_id": "136221"}, {"ref": "bazooz/testtesttest", "kernel_id": "136222"}, {"ref": "shawnr/h20-randomforest-0-73", "kernel_id": "5626"}, {"ref": "behnam/test01", "kernel_id": "5467"}, {"ref": "musicmilif/glm-with-poisson-family-lb-0-74826", "kernel_id": "5143"}, {"ref": "jmerlo/myscript", "kernel_id": "5879"}, {"ref": "yyalbert/notebookcd0da899f7", "kernel_id": "131818"}, {"ref": "diliplalwani/notebook-178bd5b0be01a481e290", "kernel_id": "64439"}, {"ref": "antonbalboa/starter-logistic-regression-in-r", "kernel_id": "4564"}, {"ref": "fr3akp/gam-script-from-forum", "kernel_id": "4520"}, {"ref": "fr3akp/xgboost-starter-code-python-0-69", "kernel_id": "4394"}, {"ref": "ihphpc/simple-lasagne-nn", "kernel_id": "4869"}, {"ref": "kudo26/tes-gam", "kernel_id": "4611"}, {"ref": "apptrain/mosquito", "kernel_id": "515"}, {"ref": "apptrain/looksee", "kernel_id": "2856"}, {"ref": "kaliba/try-the-script", "kernel_id": "4411"}, {"ref": "robford/weather-man-prediction-67", "kernel_id": "4469"}, {"ref": "breszke/plot-wnv-vs-weather", "kernel_id": "3174"}, {"ref": "cfhlearns/test1", "kernel_id": "484"}, {"ref": "xgwang/theano", "kernel_id": "5178"}, {"ref": "xgwang/simple-lasagne2", "kernel_id": "5237"}, {"ref": "xgwang/hello-wnv", "kernel_id": "5239"}, {"ref": "cs822ms/xgboost-starter-code-python-edited", "kernel_id": "563"}, {"ref": "cs822ms1/xgboost-starter-code-python-edited", "kernel_id": "571"}, {"ref": "cs822ms1/xgboost-starter-code-python-temp", "kernel_id": "746"}, {"ref": "somsuvra/notebook928df356b2", "kernel_id": "88232"}, {"ref": "danbenson/title", "kernel_id": "692"}, {"ref": "iiiiii/starter-logistic-regression-in-r", "kernel_id": "765"}, {"ref": "malc1341804/basic", "kernel_id": "1233"}, {"ref": "malc1341804/starter-gam", "kernel_id": "1234"}, {"ref": "broccoli008/sample001", "kernel_id": "1006"}, {"ref": "nitsourish/westnil-1st-kernel", "kernel_id": "92703"}, {"ref": "nitsourish/script-westnil", "kernel_id": "92706"}, {"ref": "nitsourish/chicago-kernel", "kernel_id": "92699"}, {"ref": "icer343628/west-nile-virus-prediction", "kernel_id": "1086"}, {"ref": "superrn/notebook-8be0abc7d439f52c0027", "kernel_id": "50475"}, {"ref": "upulipg/when-are-there-records-at-each-site", "kernel_id": "1316"}, {"ref": "nikhil11/xgboost-python", "kernel_id": "4925"}, {"ref": "xianen/test-virus", "kernel_id": "1366"}, {"ref": "liuyanyxy/extra-random-trees-auc-0-92-cv", "kernel_id": "6183"}, {"ref": "thedoctor46/weather-data", "kernel_id": "3303"}, {"ref": "thedoctor46/trap-plots-bubble", "kernel_id": "3295"}, {"ref": "thedoctor46/lasagne-nn", "kernel_id": "4365"}, {"ref": "thedoctor46/gbm-run1", "kernel_id": "4441"}, {"ref": "antisrdy/notebook-4fb58ae1e143ce41695e", "kernel_id": "46608"}, {"ref": "brianweickmann/testy", "kernel_id": "2593"}, {"ref": "jeanyutongchen/notebook-95a967294a4d52aeabf1", "kernel_id": "34483"}, {"ref": "daikinban/notebook-9001688f6e65b5996266", "kernel_id": "30885"}, {"ref": "zolifekete/test-run", "kernel_id": "3041"}, {"ref": "zolifekete/periodic-annual-transformation", "kernel_id": "4495"}, {"ref": "gumilton/baby-steps", "kernel_id": "3198"}, {"ref": "openneuron/bubble-plot-of-trap-activity", "kernel_id": "4875"}, {"ref": "shawnwoo/beating-the-benchmark-0-71", "kernel_id": "5670"}, {"ref": "wenhao/testscript", "kernel_id": "4708"}, {"ref": "sionek/wnv-test", "kernel_id": "17451"}, {"ref": "ampaho/wnvprediction", "kernel_id": "5250"}, {"ref": "cristianounix/my-first-script", "kernel_id": "5000"}, {"ref": "sapphirecore/not-quite-difficult", "kernel_id": "5075"}, {"ref": "rusharp/wnv-prediction-by-rusharp", "kernel_id": "5236"}, {"ref": "wkearn/westnile", "kernel_id": "5230"}, {"ref": "litong/counts-distribution-and-map-on-one-day", "kernel_id": "5510"}, {"ref": "ruilin/test-script-1", "kernel_id": "5423"}, {"ref": "yshan1980/thunder-script", "kernel_id": "5853"}, {"ref": "genoki/lasagne-test", "kernel_id": "5834"}, {"ref": "reshma123/wne-prediction", "kernel_id": "266519"}, {"ref": "lorbra/roc-curve", "kernel_id": "5868"}, {"ref": "big4happy/starter-logistic-regression-in-r", "kernel_id": "7919"}, {"ref": "mousie/notebook-04129981c7a4802b6837", "kernel_id": "20788"}, {"ref": "netivs/west-nile-heatmap-by-year", "kernel_id": "257341"}, {"ref": "zihaozhang92/notebook-c5edfa1bcf0517b22f26", "kernel_id": "33027"}, {"ref": "toonsegers/testhc", "kernel_id": "12155"}, {"ref": "hounddogdan/wnv-test", "kernel_id": "16058"}, {"ref": "pranabesh/kagglescriptsintro", "kernel_id": "19864"}, {"ref": "zhangchizju/chizhang1", "kernel_id": "18995"}, {"ref": "litianyu/notebook-e420198f3375ecb7da1b", "kernel_id": "26742"}, {"ref": "frank10tank/beating-the-benchmark-0-71", "kernel_id": "28816"}, {"ref": "frank10tank/notebook-a0060d9341dc95f55daa", "kernel_id": "28817"}, {"ref": "frank10tank/notebook-f9dae92aed740264cb11", "kernel_id": "29560"}, {"ref": "gunerarslan/mytest", "kernel_id": "28840"}, {"ref": "gunerarslan/notebook-56148321c901ea204bc4", "kernel_id": "27035"}, {"ref": "renelancine/west-nile-heatmap", "kernel_id": "30410"}, {"ref": "kipkeston/enhanced", "kernel_id": "22764"}, {"ref": "kipkeston/notebook-8fca56c5e09b9986d376", "kernel_id": "33906"}, {"ref": "indian/keras-deep-net-starter-code", "kernel_id": "82052"}, {"ref": "tendlya/dhuyu", "kernel_id": "82002"}, {"ref": "tendlya/notebook-fcba1cb53735e2b9eec9", "kernel_id": "82003"}, {"ref": "arkadi/testing-kaggle-scripting", "kernel_id": "112450"}, {"ref": "lavlesh/notebook-c4cc9aa4a5f83e48ef8d", "kernel_id": "26865"}, {"ref": "richardwall/notebook07c868af29", "kernel_id": "116381"}, {"ref": "richardwall/west-nile-code", "kernel_id": "116534"}, {"ref": "hisudha/notebook-27622c31c1cc944f3052", "kernel_id": "31144"}, {"ref": "hisudha/h20-randomforest-0-73", "kernel_id": "31146"}, {"ref": "edmcrystal/notebook-16a05b877ba3f63d18a2", "kernel_id": "32175"}, {"ref": "tm1010/notebook624c225b20", "kernel_id": "96487"}, {"ref": "tm1010/hans-west-nile-virus", "kernel_id": "96488"}, {"ref": "tm1010/xgboost-starter-code-python-0-69", "kernel_id": "96489"}, {"ref": "jacoboy/notebook-6f38425b938c1393659e", "kernel_id": "33437"}, {"ref": "jacoboy/script-r", "kernel_id": "33438"}, {"ref": "jacoboy/start2-r", "kernel_id": "33476"}, {"ref": "jacoboy/logistic-r", "kernel_id": "33511"}, {"ref": "jacoboy/try1-r", "kernel_id": "33592"}, {"ref": "jacoboy/rforest-r", "kernel_id": "34600"}, {"ref": "jacoboy/secondscript-r", "kernel_id": "34743"}, {"ref": "jacoboy/yet-to-try-r", "kernel_id": "35300"}, {"ref": "jacoboy/randf-cv-r", "kernel_id": "35289"}, {"ref": "shirmeir/shir-adaboost", "kernel_id": "37839"}, {"ref": "mimiron/notebook-12e714a4aabf2b232820", "kernel_id": "57925"}, {"ref": "drorholl/test-rf-070216", "kernel_id": "37420"}, {"ref": "dembangom1/notebook-1c7470adfa0bd7b3a4b7", "kernel_id": "55473"}, {"ref": "dembangom1/notebook-fdd57f40e3f581c29d96", "kernel_id": "55766"}, {"ref": "dembangom1/notebook-87abebf3bb833c2b3455", "kernel_id": "54193"}, {"ref": "dembangom1/notebook-33d57a4389c6b05316ad", "kernel_id": "71913"}, {"ref": "fengbo/notebook-6aec7e53e8023847bfd8", "kernel_id": "53206"}, {"ref": "dariusalaska/west-nile-heatmap", "kernel_id": "67293"}, {"ref": "vishalj88/hello", "kernel_id": "43218"}, {"ref": "lulu4430/notebook47ffabc987", "kernel_id": "99918"}, {"ref": "jihyeseo/mosquito-eda-every-2-years", "kernel_id": "957005"}, {"ref": "rachidbel/beating-the-benchmark-0-71", "kernel_id": "57716"}, {"ref": "hectorsalvador/notebook-898f8f0cb4501450059d", "kernel_id": "81939"}, {"ref": "hitfishking/west-nile-heatmap", "kernel_id": "50687"}, {"ref": "hitfishking/notebook-b3e43fd6e71d28064a0b", "kernel_id": "50689"}, {"ref": "hitfishking/notebook-ecc695988dab510bfae2", "kernel_id": "50691"}, {"ref": "hitfishking/notebook-e5c9e9d687396553cb5c", "kernel_id": "50692"}, {"ref": "hitfishking/this-is-my-folked-test-script", "kernel_id": "50693"}, {"ref": "sanfranciscos/notebook-791759fcb03e4bd2b5a5", "kernel_id": "82296"}, {"ref": "sanfranciscos/jkjhkjhkhk", "kernel_id": "81911"}, {"ref": "chargao/notebook-ba82f0507346bb255bb0", "kernel_id": "55501"}, {"ref": "chargao/notebook-b2271df47e74aae644ca", "kernel_id": "55502"}, {"ref": "jpdeleon/notebook-5abe8b2684487e5ce66c", "kernel_id": "65133"}, {"ref": "jpdeleon/notebook-f02a1d3963055391d351", "kernel_id": "65122"}, {"ref": "jpdeleon/notebook-f10e754e79b1c30ab0ca", "kernel_id": "65128"}, {"ref": "elite1111cyj/test1wow", "kernel_id": "62301"}, {"ref": "liuy0095/notebookc02ff7a881", "kernel_id": "102186"}, {"ref": "ducswork/notebook-7712f6815f6a46bba16c", "kernel_id": "72731"}, {"ref": "vcop2x/notebook6b14cf8a55", "kernel_id": "157700"}, {"ref": "lippmann/notebook5a9a15cf47", "kernel_id": "89550"}, {"ref": "natejhall89/notebookd519e7ed02", "kernel_id": "155686"}, {"ref": "xixi1213/simple-lasagne-nn-liuyun", "kernel_id": "236167"}, {"ref": "xixi1213/simple-lasagne-nn", "kernel_id": "120647"}, {"ref": "ravi0029/script-westnil", "kernel_id": "115168"}, {"ref": "rajivtanna/test123", "kernel_id": "129577"}, {"ref": "chudovamarina/notebookb951a31584", "kernel_id": "124304"}, {"ref": "dnaylor/west-nile", "kernel_id": "120878"}, {"ref": "cpleasants/notebook875313a811", "kernel_id": "132506"}, {"ref": "micahhp/notebook5e8f3ccbee", "kernel_id": "136216"}, {"ref": "samizdat/notebook0dda4f9953", "kernel_id": "154326"}, {"ref": "aaa789/notebook27d55a88ef", "kernel_id": "171786"}, {"ref": "aaa789/notebook2a17a0c66d", "kernel_id": "171787"}, {"ref": "barudwale20/west-nile-ml-data-visualisation-data-analysis", "kernel_id": "538161"}, {"ref": "rajathmc/west-nile-virus-prediction", "kernel_id": "716075"}, {"ref": "umeshdhanwal/trial", "kernel_id": "220498"}, {"ref": "umeshdhanwal/seemsfinal", "kernel_id": "220513"}, {"ref": "mikesnth/notebookd767f17e94", "kernel_id": "236087"}, {"ref": "mjspeck/notebookd7b850c4f9", "kernel_id": "236463"}, {"ref": "royrosemarin/notebook6e168e2d80", "kernel_id": "275748"}, {"ref": "royrosemarin/notebook443f45264c", "kernel_id": "275822"}, {"ref": "royrosemarin/notebook4afc9d811f", "kernel_id": "280899"}, {"ref": "royrosemarin/notebook08631533f4", "kernel_id": "279934"}, {"ref": "royrosemarin/notebook30f32f5d31", "kernel_id": "279660"}, {"ref": "royrosemarin/notebookf132615c17", "kernel_id": "280004"}, {"ref": "royrosemarin/my-script", "kernel_id": "280011"}, {"ref": "rishickesh/west-nile", "kernel_id": "3371940"}, {"ref": "shuunette/kernel333bd5eb54", "kernel_id": "6075308"}, {"ref": "shuunette/kernel2385969e41", "kernel_id": "6074209"}, {"ref": "yimpington/west-nile-virus-analysis-prediction", "kernel_id": "7854590"}, {"ref": "vaibhavs2/west-nile-virus-complete-eda", "kernel_id": "9124037"}, {"ref": "irfanmansuri/west-nile-virus", "kernel_id": "9003971"}, {"ref": "priyaldoshi/notebook69d5c6b8c8", "kernel_id": "11241620"}, {"ref": "kobiyashimaru/west-nile-virus-basic-eda-with-maps", "kernel_id": "11858534"}, {"ref": "sergeydor/notebook933f3230ca", "kernel_id": "12743925"}, {"ref": "suparatsrifa/west-nile-virus", "kernel_id": "15838145"}, {"ref": "chenzecharya/west-nile-virus-ensemble", "kernel_id": "16267119"}, {"ref": "saireddydwarampudi/190030431-westnile-virus", "kernel_id": "21100557"}, {"ref": "vaishnavithota/190031623", "kernel_id": "21523216"}, {"ref": "vijaykrishnalikhith/190030375-westnile-virus", "kernel_id": "21486603"}, {"ref": "jarunmadhesh/task2", "kernel_id": "29966750"}, {"ref": "pratikgarai/west-nile-virus-prediction-lookback-simple-dnn", "kernel_id": "30025585"}, {"ref": "nikhilchapre/data-cleaning-feature-selection", "kernel_id": "30933402"}, {"ref": "mmzznno/kaggle-west-nile-mmzznno", "kernel_id": "33869368"}, {"ref": "samymigwi/west-nile-virus-eda-and-prediction", "kernel_id": "44689958"}, {"ref": "agazgo/west-nile-virus-eda-prediction", "kernel_id": "45685793"}]}
{"competition_id": "4378", "kernels": [{"ref": "benhamner/test-trips-map", "kernel_id": "4358"}, {"ref": "benhamner/last-location-benchmark", "kernel_id": "4331"}, {"ref": "benhamner/fiddling-with-r-2", "kernel_id": "4332"}, {"ref": "benhamner/available-input-files", "kernel_id": "6661"}, {"ref": "gshguru/benchmark-script-of-willie-liao", "kernel_id": "4774"}, {"ref": "gshguru/willie-s-benchmark-script", "kernel_id": "4775"}, {"ref": "nigelcarpenter/test-set-individual-trips-map", "kernel_id": "6868"}, {"ref": "willieliao/test-set-sampling-cutoff", "kernel_id": "4900"}, {"ref": "jeeban/benchmark-script-of-willie-liao", "kernel_id": "6154"}, {"ref": "hochthom/visualization-of-taxi-trip-end-points", "kernel_id": "4410"}, {"ref": "sircausticmail/getting-the-most-visited-places", "kernel_id": "4604"}, {"ref": "alemorales/last-location-benchmark", "kernel_id": "6212"}, {"ref": "sayan3012/notebook-1423db1c45d981327f47", "kernel_id": "24525"}, {"ref": "mlandry/test-trips-map", "kernel_id": "6575"}, {"ref": "tetsurotayama/test-trip-map", "kernel_id": "6642"}, {"ref": "nabilblk/last-location-benchmark", "kernel_id": "4334"}, {"ref": "kkamataki/notebook-7e7b6f7a4ac8fb8a2767", "kernel_id": "34912"}, {"ref": "tysonni/visualization-of-taxi-trip-end-points", "kernel_id": "7946"}, {"ref": "arnoudcommandeur/visualisation-of-trips-by-google-maps", "kernel_id": "5625"}, {"ref": "mcwitt/heatmap", "kernel_id": "6728"}, {"ref": "thomas92/plot-of-trips", "kernel_id": "5829"}, {"ref": "keisho/notebook-359400dba678bd1871ce", "kernel_id": "73083"}, {"ref": "unbingo/plot-of-trips", "kernel_id": "7023"}, {"ref": "neeloysaha/test-trips-map-individual", "kernel_id": "6627"}, {"ref": "shijinzhang/test-trips-map", "kernel_id": "4477"}, {"ref": "nickanderson94/heatmap", "kernel_id": "6854"}, {"ref": "dmck456/test-trips-map", "kernel_id": "5099"}, {"ref": "tarlen/visualization-of-taxi-trip-end-points", "kernel_id": "4744"}, {"ref": "hasithakanchana/last-location-benchmark", "kernel_id": "4396"}, {"ref": "hasithakanchana/show-speed", "kernel_id": "6778"}, {"ref": "hasithakanchana/last-location-benchmarkagain", "kernel_id": "6325"}, {"ref": "vlandeiro/visualization-of-taxi-trip-end-points", "kernel_id": "47283"}, {"ref": "gopaldutt/test-trips-map", "kernel_id": "4367"}, {"ref": "kgayanm/visualization-of-taxi-trip-end-points", "kernel_id": "25947"}, {"ref": "pulasthi/willie-s-benchmark-script", "kernel_id": "5366"}, {"ref": "arunkt/visualization-of-taxi-trip-end-points", "kernel_id": "4855"}, {"ref": "imcake/visualization-of-taxi-trip-end-points", "kernel_id": "5007"}, {"ref": "reynaldriviere/notebook31d7d34095", "kernel_id": "105424"}, {"ref": "dinalkurukulasooriya/test-script", "kernel_id": "6922"}, {"ref": "prayas/last-location-benchmark", "kernel_id": "6443"}, {"ref": "mahnisansala/testing-map-of-the-trips", "kernel_id": "6979"}, {"ref": "peace195/notebook-64a1a86a630eac4489c6", "kernel_id": "36034"}, {"ref": "atpartridge/heatmap", "kernel_id": "7063"}, {"ref": "fbaiml/visualization-of-taxi-trip-end-points", "kernel_id": "10979"}, {"ref": "lucasribs/notebook-cffec9d115d1c2cf685f", "kernel_id": "40579"}, {"ref": "aankitakaur/notebook0e6cad004c", "kernel_id": "155281"}, {"ref": "rupokmukh/test-trips-map", "kernel_id": "24563"}, {"ref": "rupokmukh/available-input-files", "kernel_id": "24898"}, {"ref": "vamsigrandhi/notebook-1f9fb7ec01181e232b06", "kernel_id": "29732"}, {"ref": "rickxu9301/notebook8cb4735ef6", "kernel_id": "87232"}, {"ref": "icecoolcat/heatmap", "kernel_id": "43531"}, {"ref": "icecoolcat/notebook-689a324f0ad6e58b987a", "kernel_id": "43533"}, {"ref": "kireeti/notebook-9ddafbdc8a1d13abc150", "kernel_id": "40388"}, {"ref": "kireeti/notebook-6ed9ba2c8cee789f4718", "kernel_id": "40395"}, {"ref": "jihyeseo/handle-rds-and-zip-eda", "kernel_id": "958429"}, {"ref": "a1637303235/notebook-b8f27ff63a14d283db72", "kernel_id": "55499"}, {"ref": "a1637303235/notebook-a6c0a40e8b8dd71115fc", "kernel_id": "52022"}, {"ref": "a1637303235/notebook-874388e7e9e0c6479bc5", "kernel_id": "51299"}, {"ref": "a1637303235/notebook-42d5cdc7a10a922f7e28", "kernel_id": "50649"}, {"ref": "parul10/taxitime", "kernel_id": "56123"}, {"ref": "guangq/notebook19e2a95cf9", "kernel_id": "92114"}, {"ref": "qomallc/notebook-5ec69a31ccfa20edfd32", "kernel_id": "81881"}, {"ref": "qomallc/notebook-1a7d08a6be0d61d9f63e", "kernel_id": "81882"}, {"ref": "sandeep94pr/notebook-124362ff5b4a2bba3ed4", "kernel_id": "72157"}, {"ref": "raymonmina/notebook98c3fcc906", "kernel_id": "120203"}, {"ref": "raymonmina/notebookad8af389ef", "kernel_id": "120188"}, {"ref": "maederayati/jklnljnk", "kernel_id": "142453"}, {"ref": "amroli/notebookc81aed37bf", "kernel_id": "134506"}, {"ref": "uzhiqiang/notebook96fe3f926c", "kernel_id": "135910"}, {"ref": "sushantbharti/notebook57cbf2b8a2", "kernel_id": "118804"}, {"ref": "sushantbharti/a-pd-read-csv-input-train-csv-csv", "kernel_id": "118794"}, {"ref": "chiyuan/plot-of-trips", "kernel_id": "138175"}, {"ref": "jphalip/notebook9d15b5a3b3", "kernel_id": "114927"}, {"ref": "mismael/notebook4e53941ba5", "kernel_id": "119158"}, {"ref": "guzicang/script", "kernel_id": "147149"}, {"ref": "vvnzhang/notebooke68c462f7b", "kernel_id": "166726"}, {"ref": "elnazmr/taxidata", "kernel_id": "200078"}, {"ref": "elnazmr/taxi1", "kernel_id": "200111"}, {"ref": "markshen/notebook2321c9c4cb", "kernel_id": "220085"}, {"ref": "emcauliffe44/plot-of-trips", "kernel_id": "261495"}, {"ref": "joncle/test1", "kernel_id": "269671"}, {"ref": "joncle/notebookc2931820a9", "kernel_id": "273415"}, {"ref": "joncle/notebook0f2646ced6", "kernel_id": "265333"}, {"ref": "srivalya/taxi-prediction", "kernel_id": "1179176"}, {"ref": "sivaram123/visualization-of-taxi-trip-end-points", "kernel_id": "1356615"}, {"ref": "joejokh/taxi-regression", "kernel_id": "7065794"}, {"ref": "urayukitaka/prediction-taxi-trajectory", "kernel_id": "8969884"}, {"ref": "danphan2012/data-explore-with-meanshift-clustering", "kernel_id": "14439295"}, {"ref": "dahouda/taxi-trajectory-prediction-i", "kernel_id": "17241590"}, {"ref": "dilipkumar2k6/ecml-pkdd-15-taxi-trajectory-prediction-i", "kernel_id": "23922358"}, {"ref": "hunter0007/trajectory-prediction-ensemble-aws-solution", "kernel_id": "34492476"}, {"ref": "anjilasubedi/taxi-trajectory-eda-and-prediction", "kernel_id": "38762618"}, {"ref": "cpj2002/ml-fin-project", "kernel_id": "46911347"}]}
{"competition_id": "4383", "kernels": [{"ref": "benhamner/speed-visualization", "kernel_id": "4779"}, {"ref": "benhamner/time-elapsed-so-far-benchmark", "kernel_id": "4379"}, {"ref": "benhamner/max-time-elapsed-mean-time-benchmark", "kernel_id": "4380"}, {"ref": "benhamner/test-set-taxi-current-locations-map", "kernel_id": "4381"}, {"ref": "gshguru/max-time-elapsed-mean-time-benchmark", "kernel_id": "4682"}, {"ref": "willieliao/beat-the-benchmark", "kernel_id": "4850"}, {"ref": "jeeban/max-time-elapsed-mean-time-benchmark", "kernel_id": "6153"}, {"ref": "rejulien/max-time-elapsed-mean-time-benchmark", "kernel_id": "4539"}, {"ref": "alemorales/playing-with-scripts", "kernel_id": "6283"}, {"ref": "thakurrajanand/testing", "kernel_id": "4754"}, {"ref": "titericz/hillclimb-1", "kernel_id": "6405"}, {"ref": "wintergreens/beat-the-benchmark", "kernel_id": "6510"}, {"ref": "dimitrislev/script1", "kernel_id": "6487"}, {"ref": "davida/test-script", "kernel_id": "6640"}, {"ref": "sushize/hillclimb-fork", "kernel_id": "6725"}, {"ref": "chevli/polylinelength", "kernel_id": "6532"}, {"ref": "hansolo/beat-the-benchmark", "kernel_id": "7080"}, {"ref": "seiteta/hillclimb-fork", "kernel_id": "6508"}, {"ref": "wenson/test33", "kernel_id": "6501"}, {"ref": "wikunia/speed-visualization", "kernel_id": "4743"}, {"ref": "drvivi/add-a-constant-value-score-0-5995", "kernel_id": "6930"}, {"ref": "dataista/0-60-on-lb-w-max-mean-time-plus-trick", "kernel_id": "6365"}, {"ref": "dataista/time-prob-density-plot", "kernel_id": "6014"}, {"ref": "hasithakanchana/script1", "kernel_id": "6324"}, {"ref": "vamshing/beat-the-benchmark", "kernel_id": "5365"}, {"ref": "t36li1990/script-taxi", "kernel_id": "6647"}, {"ref": "clrajapaksha/hillclimb-fork", "kernel_id": "6828"}, {"ref": "isuruherath/find-vincenty-distance-ref-google", "kernel_id": "6676"}, {"ref": "kgayanm/mytest", "kernel_id": "25958"}, {"ref": "gkraksha/speed-visualization", "kernel_id": "4895"}, {"ref": "praneethkumar/speed-visualization", "kernel_id": "4974"}, {"ref": "eduardw/speed-visualization", "kernel_id": "5046"}, {"ref": "prayas/hillclimb-1", "kernel_id": "6444"}, {"ref": "darshanbutiya/beat-the-benchmark", "kernel_id": "17165"}, {"ref": "darshanbutiya/darshan1", "kernel_id": "16523"}, {"ref": "jihyeseo/trip-eda-rda-unzip", "kernel_id": "958146"}, {"ref": "mrwelch3345/notebook-0dc67c48b0ca43fea15e", "kernel_id": "66129"}, {"ref": "venkybuddy/speed-visualization", "kernel_id": "97349"}, {"ref": "squaresun/notebook81fb279e60", "kernel_id": "153919"}, {"ref": "elnazmr/notebook77d5e3a79a", "kernel_id": "204791"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "jenilsavla/ml-mini-project", "kernel_id": "38223843"}]}
{"competition_id": "4400", "kernels": []}
{"competition_id": "4406", "kernels": [{"ref": "benhamner/no-cleaning-benchmark-streaming", "kernel_id": "4820"}, {"ref": "dchudz/what-files-are-there", "kernel_id": "4711"}, {"ref": "dchudz/no-cleaning-benchmark", "kernel_id": "4720"}, {"ref": "dchudz/clean-by-thresholding", "kernel_id": "4722"}, {"ref": "dchudz/no-cleaning-benchmark-streaming", "kernel_id": "4822"}, {"ref": "dchudz/example-images-file-list-r", "kernel_id": "4797"}, {"ref": "dchudz/example-images-rmarkdown", "kernel_id": "4798"}, {"ref": "chinnikrishna55/denoise-working", "kernel_id": "6713"}, {"ref": "d3potf/step-1-get-typical-traindata", "kernel_id": "7037"}, {"ref": "d3potf/test-data-for-predicting", "kernel_id": "7038"}, {"ref": "victorcantor/autoencoded-denoising", "kernel_id": "125245"}, {"ref": "colinpriest/denoising-with-r-part-1", "kernel_id": "12116"}, {"ref": "colinpriest/denoising-with-r-part-2", "kernel_id": "12989"}, {"ref": "colinpriest/denoising-with-r-part-3", "kernel_id": "13653"}, {"ref": "colinpriest/denoising-with-r-part-4", "kernel_id": "14648"}, {"ref": "colinpriest/denoising-with-r-part-5", "kernel_id": "15627"}, {"ref": "colinpriest/denoising-with-r-part-6", "kernel_id": "16592"}, {"ref": "colinpriest/background-information-leakage-using-r", "kernel_id": "18897"}, {"ref": "takagiwa/predicting-background-image", "kernel_id": "13541"}, {"ref": "analyticbastard/denoising-r-5", "kernel_id": "16216"}, {"ref": "rdokov/nn-starter-kit", "kernel_id": "6010"}, {"ref": "rdokov/background-removal", "kernel_id": "5515"}, {"ref": "company/an-experience-with-adattati-thresholding", "kernel_id": "7853"}, {"ref": "company/high-pass-filter-v1-1", "kernel_id": "7855"}, {"ref": "company/high-pass-filter-v1-2", "kernel_id": "7856"}, {"ref": "usixuz/denoising-with-r-part-3", "kernel_id": "15904"}, {"ref": "srujalsk/test1", "kernel_id": "17710"}, {"ref": "yaswanth/denoising-with-r-part-6", "kernel_id": "17716"}, {"ref": "vitalimarrenra/notebook-12e31a08f34ef6848cc9", "kernel_id": "35987"}, {"ref": "ranjanpiyush/denoising-with-r-part-1", "kernel_id": "12486"}, {"ref": "jcase1988/testt", "kernel_id": "12737"}, {"ref": "ngutten/high-pass-filter", "kernel_id": "5462"}, {"ref": "johnnystrings/denoise-with-random-forests", "kernel_id": "18436"}, {"ref": "johnnystrings/denoising-with-random-forests", "kernel_id": "14455"}, {"ref": "vsmolyakov/fc-autoencoder", "kernel_id": "133823"}, {"ref": "mynameisvinn/foo123", "kernel_id": "8057"}, {"ref": "yuzhongxie/nn-starter-kit", "kernel_id": "6949"}, {"ref": "skylord/notebook-686fdcf4a88e41f261dd", "kernel_id": "56423"}, {"ref": "skylord/notebook-0056b81cec1125da373b", "kernel_id": "56424"}, {"ref": "skylord/notebook-36e6db29ab93c80cd515", "kernel_id": "56425"}, {"ref": "maddula/denoising-with-random-forests", "kernel_id": "14990"}, {"ref": "jijosunny/first-attempt", "kernel_id": "5674"}, {"ref": "maurizios/comb-of-threshold-mask", "kernel_id": "7748"}, {"ref": "maurizios/an-experience-with-adattati-thresholding", "kernel_id": "7553"}, {"ref": "maurizios/experimenting-with-skim-age", "kernel_id": "7285"}, {"ref": "maurizios/initial-testing-with-contour", "kernel_id": "7281"}, {"ref": "nadezhda94/autoencoded-denoising-b9f60acc", "kernel_id": "131627"}, {"ref": "nadezhda94/autoencoded-denoising", "kernel_id": "130661"}, {"ref": "nadezhda94/autoencoded-denoising-a008b4bf", "kernel_id": "131891"}, {"ref": "nadezhda94/autoencoded-denoising-39d0cec1", "kernel_id": "131968"}, {"ref": "haolyu/foo123", "kernel_id": "10298"}, {"ref": "czeinerb/denoising-with-r-part-5", "kernel_id": "73458"}, {"ref": "csmariasaadia/high-pass-filter", "kernel_id": "5605"}, {"ref": "honeyext/dummy", "kernel_id": "18558"}, {"ref": "emanuek/clean-by-thresholding", "kernel_id": "5620"}, {"ref": "ianintas/raster-images-side-by-side", "kernel_id": "5483"}, {"ref": "jsh127/test1", "kernel_id": "17280"}, {"ref": "jsh127/denoising-with-r-part-6", "kernel_id": "16623"}, {"ref": "jsh127/r-part-7", "kernel_id": "16627"}, {"ref": "jsh127/denoising-with-r-part-5", "kernel_id": "16612"}, {"ref": "mattgenkin/background-removal", "kernel_id": "7774"}, {"ref": "mattgenkin/skimage-thresholding", "kernel_id": "7825"}, {"ref": "oliversherouse/let-s-try-simple-linear-regression", "kernel_id": "12330"}, {"ref": "oliversherouse/denoising-with-ransom-forests", "kernel_id": "11720"}, {"ref": "rssalessio/test1", "kernel_id": "13605"}, {"ref": "antonov/nn-starter-kit", "kernel_id": "9806"}, {"ref": "patelvi51/test-1", "kernel_id": "5344"}, {"ref": "yasha0b1/no-cleaning-benchmark-r", "kernel_id": "6644"}, {"ref": "nathanelbaz/threshold-filter", "kernel_id": "6132"}, {"ref": "ajitmotra/denaoise-with-preserved-background-color", "kernel_id": "6415"}, {"ref": "anupamsingh24/nn-starter-kit", "kernel_id": "6484"}, {"ref": "mlnjsh/background-information-leakage-using-r", "kernel_id": "52318"}, {"ref": "womghei01/notebook-f58a9fb0c441f9869a17", "kernel_id": "28962"}, {"ref": "womghei01/notebook-ec5f3962d49d0026cf07", "kernel_id": "28995"}, {"ref": "kumar9536/ru1-test", "kernel_id": "22863"}, {"ref": "chenwenhu/havefun", "kernel_id": "12288"}, {"ref": "szshen/testing", "kernel_id": "15661"}, {"ref": "toya92/subtract-noisy-background", "kernel_id": "14349"}, {"ref": "bharathiitm/test1", "kernel_id": "18364"}, {"ref": "peterkupfer/background-removal", "kernel_id": "21038"}, {"ref": "amitkumarjaiswal/notebook9710c540b4", "kernel_id": "235133"}, {"ref": "vaibhavlaturkar/notebook39b145c4e6", "kernel_id": "143468"}, {"ref": "vaibhavlaturkar/fork-of-notebookbaaa6565f0", "kernel_id": "150653"}, {"ref": "ayushgupta1989/denoising-with-r-part-1", "kernel_id": "228787"}, {"ref": "ytchang/notebook-a7139aa434a1aa7902f4", "kernel_id": "51490"}, {"ref": "pranavsachdev05/notebooka831ab9611", "kernel_id": "113753"}, {"ref": "aakashnain/denoising-autoencoders-to-the-rescue", "kernel_id": "598219"}, {"ref": "jjough/khjkl", "kernel_id": "42735"}, {"ref": "jjough/notebook-005dcaf1b62f27721c4a", "kernel_id": "42736"}, {"ref": "jihyeseo/remove-noise-from-printed-text-image", "kernel_id": "958544"}, {"ref": "simmoncn/autoencoded-denoising", "kernel_id": "126280"}, {"ref": "ahmedpyarali/notebook1647724630", "kernel_id": "106715"}, {"ref": "ahmedpyarali/autoencoded-denoising", "kernel_id": "120543"}, {"ref": "cyrilmaleval/denoising-with-r-part-1", "kernel_id": "167149"}, {"ref": "adg789/notebook08995b8733", "kernel_id": "112328"}, {"ref": "snadeau/notebook95315fa636", "kernel_id": "117421"}, {"ref": "shubhamgpande/denoising-with-r-part-1", "kernel_id": "116100"}, {"ref": "kubsoykan/notebooke58a060b7e", "kernel_id": "148138"}, {"ref": "erdoganb/recreating-images-with-autoencoder", "kernel_id": "253745"}, {"ref": "jasperwoo/notebook9192ea6e5b", "kernel_id": "198799"}, {"ref": "jokerchirs/notebook954d74920d", "kernel_id": "190875"}, {"ref": "piasyx/notebookba67f73979", "kernel_id": "241117"}, {"ref": "arnaudreymond90/notebook47308b08e4", "kernel_id": "196993"}, {"ref": "arjunsurendran/image-painting-with-tensorflow", "kernel_id": "338346"}, {"ref": "pankaj123/fc-autoencoder", "kernel_id": "295015"}, {"ref": "aeter42/denoising-documents-with-conv-autoencoders", "kernel_id": "1295428"}, {"ref": "atrisaxena/autoencoders-denoising-dirty-document", "kernel_id": "1575525"}, {"ref": "zhoulingyan0228/dirty-documents-tuning-adaptive-threshold", "kernel_id": "1249385"}, {"ref": "zhoulingyan0228/denoising-documents-w-cnn", "kernel_id": "1249903"}, {"ref": "zhoulingyan0228/denoising-documents-w-feature-engineered", "kernel_id": "1258648"}, {"ref": "jhonatanbds/denoising-documents-w-cnn", "kernel_id": "1668838"}, {"ref": "anmour/convolutional-autoencoder-with-keras", "kernel_id": "2844340"}, {"ref": "ajithvajrala/auto-encoders-for-denoising", "kernel_id": "2914671"}, {"ref": "muthukrishnan/removing-background-noise-from-dirty-documents", "kernel_id": "2555873"}, {"ref": "peterboos/blender-denoiser", "kernel_id": "2225939"}, {"ref": "forhadsidhu/explanation-autoencoder-works-implementation", "kernel_id": "3651780"}, {"ref": "ajithvajrala/convolutional-autoencoder-with-keras", "kernel_id": "3550158"}, {"ref": "palaksood97/image-denoising", "kernel_id": "3282568"}, {"ref": "ribhavs54/kernel784c307d6a", "kernel_id": "4032312"}, {"ref": "werty12121/data-lit-images-denoising", "kernel_id": "4113799"}, {"ref": "kmader/cyclegan-for-segmenting-xrays", "kernel_id": "5435289"}, {"ref": "rakeshvd/cleaning-documents-using-autoencoder", "kernel_id": "5842392"}, {"ref": "shubham19934/image-prepocessing", "kernel_id": "6240516"}, {"ref": "iamsaksham/denoising-dirt-documents", "kernel_id": "6551543"}, {"ref": "simmygupta/kernel5560a76044", "kernel_id": "6801465"}, {"ref": "hahmed747/background-removal-using-fastai-unet-learner", "kernel_id": "7600487"}, {"ref": "vinayver/denoising-documents-using-autoencoder", "kernel_id": "7827793"}, {"ref": "uurdeep/document-cleaner-with-convolutional-autoencoder", "kernel_id": "7717496"}, {"ref": "sushanth1995/image-augmentation-and-neural-encoder-decoder", "kernel_id": "8328031"}, {"ref": "sunnynevarekar/denoising-dirty-documents-using-autoencoder", "kernel_id": "8046778"}, {"ref": "ahmedjimy/autoencoders-for-denoising-with-visualizations", "kernel_id": "8306114"}, {"ref": "elhmadany/deeplearningpractice", "kernel_id": "8754082"}, {"ref": "dimakyn/keras-cnn-autoencoder", "kernel_id": "8130780"}, {"ref": "phylake1337/clear-it", "kernel_id": "8350430"}, {"ref": "johnlehmann/fastai-unet-denoiser", "kernel_id": "8984862"}, {"ref": "laurauzcategui/denoising-dirty-docs", "kernel_id": "9270373"}, {"ref": "daenys2000/keras-denoising-autoencoders", "kernel_id": "10383053"}, {"ref": "shivamjohri/document-cleaner-with-cnn-autoencoder-rmsprop", "kernel_id": "10679463"}, {"ref": "rajaraman6195/image-denoise", "kernel_id": "11798913"}, {"ref": "michalbrezk/denoise-images-using-autoencoders-tf-keras", "kernel_id": "11302461"}, {"ref": "ndl17020871/unzip-denoising-dirty-documents", "kernel_id": "12682721"}, {"ref": "ritvik1909/denoising-autoencoder-image-augmentation", "kernel_id": "13059802"}, {"ref": "nitin29/notebook110a9794e4", "kernel_id": "14163040"}, {"ref": "manish939/denoise-images-using-autoencoders-tf-keras", "kernel_id": "14650292"}, {"ref": "rebelgiri/document-denoising", "kernel_id": "14273285"}, {"ref": "arifva/notebook84f3125dff", "kernel_id": "15551325"}, {"ref": "soumenksarker/autoencoder-denoising-image-mnist-cifar10", "kernel_id": "19934891"}, {"ref": "a7madmostafa/denoising-images-using-conv-autoencoders", "kernel_id": "21574549"}, {"ref": "parisadkh/document-denoising", "kernel_id": "22311844"}, {"ref": "weisinx7/denoising-by-mprnet", "kernel_id": "27374916"}, {"ref": "mohamedahmedae/dae-denoiseautoencoders", "kernel_id": "28318146"}, {"ref": "weisinx7/denoising-by-autoencoder-simple-data", "kernel_id": "28746294"}, {"ref": "weisinx7/denoising-by-autoencoder-mixed-data", "kernel_id": "28032021"}, {"ref": "rmuhammed97/denoise-images-using-autoencoders", "kernel_id": "30546382"}, {"ref": "georgedn/notebooked2867910a", "kernel_id": "37359489"}, {"ref": "irdinanajwaizhamupm/denoising-text-image-documents-using-autoencoders", "kernel_id": "38027428"}, {"ref": "fatinifairus/title-3", "kernel_id": "39165738"}, {"ref": "hoangpham303/deep-autoencoder-denoise-document", "kernel_id": "40302340"}, {"ref": "vismaysuramwar/deblurringimages-ipynb", "kernel_id": "40468298"}, {"ref": "nico404/denoise-images-w-cnn-autoencoder-keras-tf-ocr", "kernel_id": "40791116"}, {"ref": "mortezarashidpour/denoising-dirty-documents", "kernel_id": "43539794"}, {"ref": "mohamedtoukabri/high-resolution-image-generation-upvote-me", "kernel_id": "43968285"}, {"ref": "jayantpranjal/image-denoising", "kernel_id": "43413922"}, {"ref": "ahmedwael2000/autoencoders-for-denoising-images", "kernel_id": "43573138"}, {"ref": "shubhangibindal/image-super-resolution", "kernel_id": "43715687"}, {"ref": "shubhangibindal/image-super-resolution-on-documents", "kernel_id": "45865143"}, {"ref": "shubhangibindal/image-resolution-and-ocr-on-dirty-documents", "kernel_id": "46975244"}, {"ref": "natashameshram/image-denoising-autoencoders-version-1", "kernel_id": "49922151"}, {"ref": "shubhangibindal/deep-autoencoder-denoise-document-17e3e7", "kernel_id": "49316861"}, {"ref": "kvsbmstu/autoencoders-for-denoising-images-pytorch", "kernel_id": "52356064"}, {"ref": "albinach2000/autoencoders-for-denoising-images-pytorch", "kernel_id": "52487663"}, {"ref": "billyartarmstrong/autoencoders-for-denoising-images-pytorch", "kernel_id": "52998265"}, {"ref": "timurdzhumaniiazov/autoencoders-for-denoising-images-pytorch", "kernel_id": "53786168"}, {"ref": "polinagorbunova/autoencoders-for-denoising-images-pytorch-copy", "kernel_id": "53790960"}, {"ref": "polinagorbunova/autoencoders-for-denoising-images-pytorch", "kernel_id": "53874273"}, {"ref": "polinagorbunova/autoencoders-for-denoising-images-pytorch-0fa727", "kernel_id": "53875112"}, {"ref": "polinamurlina/autoencoders-for-denoising-images-pytorch-copy", "kernel_id": "53440788"}, {"ref": "danilkozachonok/autoencoders-for-denoising-images-pytorch", "kernel_id": "53665102"}, {"ref": "hinches/autoencoders-for-denoising-images-pytorch-bdf19e", "kernel_id": "53383207"}, {"ref": "mikisr/saridis-autoencoders-for-denoising-images", "kernel_id": "54053520"}, {"ref": "abdelrhmaneldesoky/dip-project", "kernel_id": "55727405"}, {"ref": "dhruvaguruprasad/cnn-working", "kernel_id": "55960207"}, {"ref": "dhruvaguruprasad/glyph-data", "kernel_id": "56210925"}, {"ref": "anirudhkoti/unet-sidd", "kernel_id": "56977700"}, {"ref": "shadialhalak/denoising-superres-documents", "kernel_id": "57269419"}, {"ref": "hamdeh/denoise-images-using-autoencoders-tf-keras", "kernel_id": "70166471"}, {"ref": "mirai8work/this-shit", "kernel_id": "73233758"}, {"ref": "youngsunjoung/autoencoder-of-denoising-dirty-documents-pytorch", "kernel_id": "76413542"}, {"ref": "keugmogu/denoising-dirty-documents-pytorch-autoencoder", "kernel_id": "76359941"}, {"ref": "jsjs0125/denoising-dirty-documents-by-pytorch", "kernel_id": "76643344"}, {"ref": "khuongpd/nfcnn-model", "kernel_id": "77389540"}, {"ref": "codingloading/denoising-with-convolution-autoencoder", "kernel_id": "89183837"}, {"ref": "evanoleary/alexandria-competition-denoising-dirty-do-251444", "kernel_id": "100582103"}, {"ref": "scherifaschraf/notebook05850a8083", "kernel_id": "109527620"}, {"ref": "mohamedmaher1/notebookdbfee29fba", "kernel_id": "109527725"}, {"ref": "yousefayman00/computer-vision", "kernel_id": "109527663"}, {"ref": "shahdabdelmaqsoud/autoencoder-denoising", "kernel_id": "109528195"}, {"ref": "ker0mansour/document-denoising-autoencoder", "kernel_id": "109528035"}, {"ref": "baselbarakat1/basel-s-denoising-dirty-documents", "kernel_id": "109562756"}, {"ref": "arukesulaimanova1/notebookc4384c59c8", "kernel_id": "123289689"}, {"ref": "stargazercn/unet-denoising-dirty-documents", "kernel_id": "126018336"}]}
{"competition_id": "4407", "kernels": [{"ref": "benhamner/svd-components-bugfix-test", "kernel_id": "5321"}, {"ref": "benhamner/r-vector-space-model", "kernel_id": "3320"}, {"ref": "benhamner/fiddling-with-python-2", "kernel_id": "2536"}, {"ref": "benhamner/python-benchmark", "kernel_id": "2537"}, {"ref": "benhamner/python-default-text", "kernel_id": "2578"}, {"ref": "benhamner/data-samples", "kernel_id": "2586"}, {"ref": "benhamner/r-default-text", "kernel_id": "2589"}, {"ref": "benhamner/wordclouds", "kernel_id": "2622"}, {"ref": "benhamner/exploring-the-crowdflower-data", "kernel_id": "2665"}, {"ref": "benhamner/fiddling-with-rmarkdown", "kernel_id": "2782"}, {"ref": "benhamner/julia-default-text-1", "kernel_id": "3100"}, {"ref": "benhamner/beating-the-benchmark-0-57", "kernel_id": "6393"}, {"ref": "gshguru/porter-stemmer-w-o-stop-words", "kernel_id": "5209"}, {"ref": "gshguru/beating-the-benchmark-0-57", "kernel_id": "5460"}, {"ref": "gshguru/clubbing-2-benchmarks", "kernel_id": "5641"}, {"ref": "domcastro/utility-write-svd-components-to-file", "kernel_id": "5277"}, {"ref": "aiwagan/succumbing-to-benchmark-fork", "kernel_id": "4634"}, {"ref": "dchudz/input-files-2", "kernel_id": "1697"}, {"ref": "dchudz/word-proportion-benchmark", "kernel_id": "1698"}, {"ref": "abhishek/beating-the-benchmark", "kernel_id": "2604"}, {"ref": "owenzhang1/clubbing-2-benchmarks-geometric-mean", "kernel_id": "7363"}, {"ref": "owenzhang1/test-version1", "kernel_id": "7365"}, {"ref": "sfin2015/mutual-information-of-query-keywords", "kernel_id": "2941"}, {"ref": "upulbandara/svm-0-6-linear-rbf", "kernel_id": "4927"}, {"ref": "upulbandara/again-updated-benchmark", "kernel_id": "6896"}, {"ref": "acnithin/lolse", "kernel_id": "3236"}, {"ref": "jeeban/rf-starter", "kernel_id": "7000"}, {"ref": "jeeban/beating-benchmark-0-57", "kernel_id": "7158"}, {"ref": "jeeban/new-try", "kernel_id": "7171"}, {"ref": "jeeban/old-code", "kernel_id": "7066"}, {"ref": "jeeban/svm-code-porter", "kernel_id": "6321"}, {"ref": "jeeban/gbm-trial", "kernel_id": "6331"}, {"ref": "jeeban/rf-trial", "kernel_id": "6381"}, {"ref": "tjungblut/pure-python-no-blackbox", "kernel_id": "4598"}, {"ref": "tsendeemts/beating-the-benchmark", "kernel_id": "2928"}, {"ref": "victorcantor/clubbing-svm-and-rf", "kernel_id": "7065"}, {"ref": "victorcantor/blending-2-benchmarks", "kernel_id": "6594"}, {"ref": "ramarlina/svm-custom-features", "kernel_id": "7466"}, {"ref": "rn27in/notebook-2446eeabef4f3f90bfc0", "kernel_id": "85591"}, {"ref": "wendykan/try-beautiful-soup", "kernel_id": "2597"}, {"ref": "eldosuky/stacky1", "kernel_id": "5971"}, {"ref": "thakurrajanand/beating-the-benchmark", "kernel_id": "2847"}, {"ref": "thakurrajanand/testing-2", "kernel_id": "5706"}, {"ref": "hmnshu/five-models-averaged-not-optimized2", "kernel_id": "6773"}, {"ref": "hmnshu/five-models-averaged-not-optimized", "kernel_id": "6768"}, {"ref": "spikhalskiy/python-benchmark", "kernel_id": "2688"}, {"ref": "mlandry/beating-the-benchmark", "kernel_id": "2854"}, {"ref": "runnersup/notebook-f5ec6a57ab4a2457e4ca", "kernel_id": "30309"}, {"ref": "runnersup/notebook-adc83fdcb22e2ba5377b", "kernel_id": "30310"}, {"ref": "runnersup/notebook-856a498054dc94d22f0d", "kernel_id": "30311"}, {"ref": "runnersup/notebook-3d6d4e490ded58ac3583", "kernel_id": "30319"}, {"ref": "runnersup/notebook-ba9d3da957bd7d2dcf06", "kernel_id": "30320"}, {"ref": "runnersup/notebook-c5cd8a083d800b6a6473", "kernel_id": "30325"}, {"ref": "runnersup/notebook-104089cce882f8e650cf", "kernel_id": "29628"}, {"ref": "runnersup/notebook-c00d51df8d4d2ca6a437", "kernel_id": "29630"}, {"ref": "titericz/clubbing-2-benchmarks-2", "kernel_id": "5713"}, {"ref": "titericz/clubbing-2-benchmarks-4", "kernel_id": "5810"}, {"ref": "titericz/clubbing-2-benchmarks-5", "kernel_id": "5817"}, {"ref": "drpatrickchan/python-bite", "kernel_id": "6326"}, {"ref": "drpatrickchan/multiprocessing-clubbing-2-benchmarks", "kernel_id": "6294"}, {"ref": "drpatrickchan/five-models-averaged-not-optimized", "kernel_id": "7109"}, {"ref": "drpatrickchan/clubbing-2-benchmarks-geometric-mean", "kernel_id": "7487"}, {"ref": "marknagelberg/modelling-script-for-final-submission", "kernel_id": "8345"}, {"ref": "marknagelberg/feature-extraction-for-final-model", "kernel_id": "8110"}, {"ref": "uioreanu/r-simple-numbers-cruncher", "kernel_id": "6460"}, {"ref": "milivojevic/clubbing-2-benchmarks-geometric-mean", "kernel_id": "7547"}, {"ref": "lazycoder/beating-the-benchmark-0-57", "kernel_id": "5396"}, {"ref": "lazycoder/python-benchmark", "kernel_id": "5397"}, {"ref": "sarvajith/notebook-5eb7cdac61b884d4354a", "kernel_id": "62404"}, {"ref": "cannonjunior/latest-benchmarks-geometric-mean", "kernel_id": "7556"}, {"ref": "cannonjunior/geo-benchmarks", "kernel_id": "7557"}, {"ref": "dbuffoni/five-models-averaged-not-optimized", "kernel_id": "6748"}, {"ref": "nkhuyu/stacking-benchrf-porterstemmer-0-626", "kernel_id": "6734"}, {"ref": "nkhuyu/beating-the-benchmark-rf", "kernel_id": "6735"}, {"ref": "nkhuyu/porter-stemmer", "kernel_id": "6489"}, {"ref": "nkhuyu/stacking-benchsvd-porterstemmer-0-626", "kernel_id": "6022"}, {"ref": "nkhuyu/kappa-intuition", "kernel_id": "6210"}, {"ref": "nkhuyu/benchmark-1-1", "kernel_id": "6121"}, {"ref": "nkhuyu/benck-mark-new-2-2-df", "kernel_id": "6122"}, {"ref": "nkhuyu/ng5stacking-benchsvd-porterstemmer-0-626", "kernel_id": "6944"}, {"ref": "nkhuyu/again-updated-benchmark", "kernel_id": "6970"}, {"ref": "nkhuyu/beating-the-benchmark", "kernel_id": "4323"}, {"ref": "nonnonelie/lda-visualization", "kernel_id": "8286"}, {"ref": "rdwrer/succumbing-to-benchmark-fork", "kernel_id": "4654"}, {"ref": "rdwrer/succumbing-to-benchmark-fork2", "kernel_id": "4657"}, {"ref": "shailena/notebook-df8dfce88ce62a97e5c9", "kernel_id": "34487"}, {"ref": "andrep/script-trial", "kernel_id": "2773"}, {"ref": "puffin/clubbing-2-benchmarks-with-harmonic-mean", "kernel_id": "6975"}, {"ref": "chenglongchen/customized-softkappa-loss-in-xgboost", "kernel_id": "5901"}, {"ref": "pranjaldubey/just-beat-it", "kernel_id": "4417"}, {"ref": "guanqing/clubbing-2-benchmarks-geometric-mean", "kernel_id": "7539"}, {"ref": "triskelion/kappa-intuition", "kernel_id": "5123"}, {"ref": "triskelion/porter-stemmer", "kernel_id": "4646"}, {"ref": "triskelion/normalized-kaggle-distance", "kernel_id": "2632"}, {"ref": "koushik/test1", "kernel_id": "6603"}, {"ref": "mmourafiq/exploring-data", "kernel_id": "5449"}, {"ref": "tuxnguyen/notebook-1dd0cbeaf50cdda5cb1e", "kernel_id": "27344"}, {"ref": "kirubakumaresh/beating-the-benchmark", "kernel_id": "4341"}, {"ref": "sonuk7/random-forestor", "kernel_id": "6740"}, {"ref": "sonuk7/a-try-with-svc", "kernel_id": "7056"}, {"ref": "semutter/python-benchmark", "kernel_id": "2989"}, {"ref": "elenacuoco/cf-nn-py", "kernel_id": "5364"}, {"ref": "outliar/pure-python-no-blackbox", "kernel_id": "4771"}, {"ref": "outliar/wordcloud", "kernel_id": "4608"}, {"ref": "outliar/flower", "kernel_id": "4461"}, {"ref": "outliar/sys-info", "kernel_id": "4498"}, {"ref": "bnayok/stacking-benchsvd-porterstemmer-0-626", "kernel_id": "6822"}, {"ref": "gmilosev/r-version-of-benchmark-script", "kernel_id": "5867"}, {"ref": "sakthiindra/r-script", "kernel_id": "2635"}, {"ref": "tanayz/testing", "kernel_id": "7325"}, {"ref": "tanayz/test-benchmark", "kernel_id": "7207"}, {"ref": "denistsitko/preds1", "kernel_id": "7044"}, {"ref": "denistsitko/preds2", "kernel_id": "7047"}, {"ref": "asimkievich/beating-the-benchmark-kind-of", "kernel_id": "4374"}, {"ref": "asimkievich/abisheks-benchmark-beating-for-windows", "kernel_id": "4455"}, {"ref": "charmchi/succumbing-to-benchmark-fork", "kernel_id": "4496"}, {"ref": "charmchi/beating-the-benchmark", "kernel_id": "2828"}, {"ref": "popfido/porter-stemmer", "kernel_id": "5504"}, {"ref": "vimalankvk80/five-models-averaged", "kernel_id": "7252"}, {"ref": "nilotpal/again-updated-benchmark", "kernel_id": "6526"}, {"ref": "lishubin/test-code", "kernel_id": "7239"}, {"ref": "rikesh/clubbing-2-benchmarks", "kernel_id": "5781"}, {"ref": "jianminsun/mix-it-up-with-naive-bayes-0-52", "kernel_id": "5080"}, {"ref": "oleksiirenov/clubbing-2-benchmarks-geometric-mean", "kernel_id": "7388"}, {"ref": "wingsrc/exploring-the-crowdflower-data", "kernel_id": "5235"}, {"ref": "taboada/test1", "kernel_id": "4486"}, {"ref": "lrargerich/r-vector-space-model", "kernel_id": "3272"}, {"ref": "gerardmeester/porter-stemmer", "kernel_id": "5031"}, {"ref": "hsperr/clubbing-2-benchmarks", "kernel_id": "6942"}, {"ref": "hsperr/again-updated-benchmark", "kernel_id": "6965"}, {"ref": "hsperr/clubbing-2-benchmarks-geometric-mean", "kernel_id": "6987"}, {"ref": "hsperr/testing", "kernel_id": "7200"}, {"ref": "abhayspawar/trial", "kernel_id": "6764"}, {"ref": "markpeng/utility-write-svd-components-to-file", "kernel_id": "5340"}, {"ref": "scottlittle/testing123", "kernel_id": "6347"}, {"ref": "uwebaier/julia-default-script", "kernel_id": "5995"}, {"ref": "qmaruf/forkfrom-the1owl", "kernel_id": "6839"}, {"ref": "smilesun/lda-visualization", "kernel_id": "7232"}, {"ref": "darraghdog/naive-bayes-on-crowdflower", "kernel_id": "4963"}, {"ref": "doylet/notebook-ab7fba749c30354b1940", "kernel_id": "25510"}, {"ref": "ouranos/customized-softkappa-loss-in-xgboost", "kernel_id": "7484"}, {"ref": "ouranos/combined", "kernel_id": "7604"}, {"ref": "ouranos/clubbing-2-benchmarks-geometric-mean-aga", "kernel_id": "7264"}, {"ref": "oustad/test-yo", "kernel_id": "3056"}, {"ref": "madcap/alternative-query-from-title-corpus", "kernel_id": "10180"}, {"ref": "allaboutdata/testing-r-script", "kernel_id": "2658"}, {"ref": "teracrator/five-models-averaged", "kernel_id": "6867"}, {"ref": "littlekid/five-models-averaged-not-optimized", "kernel_id": "7114"}, {"ref": "bra2ed/simple-statistic-approach-benchmark", "kernel_id": "5267"}, {"ref": "kranthisai/drop-html-tags", "kernel_id": "44862"}, {"ref": "kranthisai/kranthi", "kernel_id": "41630"}, {"ref": "gnovoselov/initial-python", "kernel_id": "6659"}, {"ref": "gnovoselov/initial-python-commit", "kernel_id": "6680"}, {"ref": "gnovoselov/gn-initial-python", "kernel_id": "6681"}, {"ref": "gnovoselov/searchresult-dataexploration-extension", "kernel_id": "6691"}, {"ref": "daniharsh28/beatin", "kernel_id": "2907"}, {"ref": "daniharsh28/notebook-36dc5b3069068023e860", "kernel_id": "79047"}, {"ref": "beltramin/exploring-the-crowdflower-data-r", "kernel_id": "6421"}, {"ref": "iron0012/four-models-averaged-knn", "kernel_id": "6869"}, {"ref": "dominguez/visualization-using-seaborne", "kernel_id": "45595"}, {"ref": "shuimuxixiha/exploring-the-crowdflower-data", "kernel_id": "5202"}, {"ref": "nitinl/notebook-c6606d3b31c971a885e4", "kernel_id": "21535"}, {"ref": "dataxing/firsttest", "kernel_id": "6265"}, {"ref": "malais/searchresult-dataexploration", "kernel_id": "6623"}, {"ref": "vicensgaitan/gbm-trial-2", "kernel_id": "6550"}, {"ref": "vicensgaitan/clubbing-2-benchmarks-geometric-mean2", "kernel_id": "7219"}, {"ref": "haibowu/try-another-benchmark", "kernel_id": "6998"}, {"ref": "haibowu/testcf", "kernel_id": "4913"}, {"ref": "uygaryo/normalized-kaggle-distance-v-4", "kernel_id": "5503"}, {"ref": "yasirkhan/notebook-7c63fd3de22b74a540a4", "kernel_id": "35322"}, {"ref": "yasirkhan/notebook-597300241c0d3cb1550e", "kernel_id": "35324"}, {"ref": "yasirkhan/testing", "kernel_id": "35325"}, {"ref": "evgheniik/r-version-of-benchmark-script", "kernel_id": "6147"}, {"ref": "priyansu/clubbing-2-benchmarks-geometric-mean", "kernel_id": "7218"}, {"ref": "jigneshvyas/word-cloud-r", "kernel_id": "6129"}, {"ref": "jddavis100/beating-the-benchmark", "kernel_id": "4518"}, {"ref": "yifanma/testtdb", "kernel_id": "7209"}, {"ref": "onepau/utility-write-svd-components-to-file", "kernel_id": "5361"}, {"ref": "kimchul/scrtipts", "kernel_id": "5579"}, {"ref": "justfor/just-a-r-test", "kernel_id": "7284"}, {"ref": "justfor/clubbing-2-benchmarks", "kernel_id": "5734"}, {"ref": "rachit72/first-attempt", "kernel_id": "2652"}, {"ref": "echocanoe/r-vector-space-model", "kernel_id": "4738"}, {"ref": "echamp/normalized-kaggle-distance", "kernel_id": "2696"}, {"ref": "echamp/normalized-kaggle-distance-elio", "kernel_id": "2697"}, {"ref": "dlyzer/k-nearest-neighbors", "kernel_id": "6186"}, {"ref": "whitetigersfu/trying-a-few-changes", "kernel_id": "6446"}, {"ref": "duttaroy/porter-stemmer", "kernel_id": "4600"}, {"ref": "duttaroy/test-benchmark", "kernel_id": "7199"}, {"ref": "wooohooo/weeeellllll", "kernel_id": "4886"}, {"ref": "wooohooo/python-benchmark", "kernel_id": "4892"}, {"ref": "allmendinger/five-models-averaged", "kernel_id": "7339"}, {"ref": "sumendar/my-first-script1", "kernel_id": "7740"}, {"ref": "nikitakis/multiprocessing-clubbing-2-benchmarks", "kernel_id": "5990"}, {"ref": "dstuck/python-benchmark", "kernel_id": "6962"}, {"ref": "aditya23/2-python-benchmark", "kernel_id": "3296"}, {"ref": "kamalkss/gbm-trial", "kernel_id": "6612"}, {"ref": "nagababu/svm-0-6", "kernel_id": "5618"}, {"ref": "nagababu/clubbing-2-benchmarks", "kernel_id": "6499"}, {"ref": "hiendang/auto-correct-query", "kernel_id": "6956"}, {"ref": "rogerwu/test-00", "kernel_id": "6579"}, {"ref": "amineteffal/first-3-word-of-query", "kernel_id": "6611"}, {"ref": "samuraiconsulting/beating-the-benchmark", "kernel_id": "3211"}, {"ref": "maryfatima/search-result-relevance", "kernel_id": "3046"}, {"ref": "maryfatima/beating-the-benchmark", "kernel_id": "3048"}, {"ref": "retep007/succumbing-to-benchmark-fork", "kernel_id": "5479"}, {"ref": "ralphiee22/python-benchmark", "kernel_id": "5219"}, {"ref": "solution/lda-visualization", "kernel_id": "6840"}, {"ref": "wliang88/extra-engineered-features-w-svm", "kernel_id": "4870"}, {"ref": "wliang88/notebook4e3dda01fe", "kernel_id": "155987"}, {"ref": "antonbalboa/five-models-averaged-not-optimized", "kernel_id": "6986"}, {"ref": "aeeilllmrx/beating-the-benchmark-0-57", "kernel_id": "6665"}, {"ref": "demirr/beating-the-benchmark-0-57", "kernel_id": "5013"}, {"ref": "abhishekyadav/r-default-text", "kernel_id": "2633"}, {"ref": "sukhonosenko/porterstemmer", "kernel_id": "6771"}, {"ref": "meanmongo/simple-tweak-to-baseline-0-55", "kernel_id": "7492"}, {"ref": "sairaviteja/taking-mode-not-mean", "kernel_id": "6810"}, {"ref": "runner501/beating-the-benchmark-0-57", "kernel_id": "11559"}, {"ref": "lancerts/combined", "kernel_id": "7594"}, {"ref": "lancerts/clubbing-2-benchmarks", "kernel_id": "7040"}, {"ref": "cyrammoon/python-benchmark", "kernel_id": "3143"}, {"ref": "dylbet121/test-script", "kernel_id": "2642"}, {"ref": "jeanyutongchen/notebook-f47dabc9b1ac5fd8f228", "kernel_id": "34220"}, {"ref": "wavereel/first-test", "kernel_id": "2898"}, {"ref": "cwallaceh/normalized-kaggle-distance", "kernel_id": "3179"}, {"ref": "ys19931006/svm-trial", "kernel_id": "7098"}, {"ref": "rosacaponnetto/python-benchmark", "kernel_id": "2946"}, {"ref": "keril353507/beating-the-benchmark", "kernel_id": "2974"}, {"ref": "lb08abu/load-of-nothing", "kernel_id": "7150"}, {"ref": "freerainbow/sample", "kernel_id": "5001"}, {"ref": "ceobillionaire/beating-benchmark-0-57", "kernel_id": "7153"}, {"ref": "ceobillionaire/dreaming-in-python-v0-10", "kernel_id": "4660"}, {"ref": "stevolkm/beating-the-benchmark-0-57", "kernel_id": "4650"}, {"ref": "jacopods/beating-the-benchmark", "kernel_id": "4514"}, {"ref": "hamstermood/python-benchmark", "kernel_id": "6310"}, {"ref": "bensel1234/porter-stemmer", "kernel_id": "4904"}, {"ref": "jliang/r-vector-space-model", "kernel_id": "4787"}, {"ref": "garyblanpied/test2015", "kernel_id": "4575"}, {"ref": "yogeshbendre/trial", "kernel_id": "4692"}, {"ref": "mahangfreedom/svm-0-6", "kernel_id": "6044"}, {"ref": "ps0000/porter-stemmerasdf", "kernel_id": "4994"}, {"ref": "praneethkumar/porter-stemmer", "kernel_id": "4973"}, {"ref": "ntartania/python-benchmark", "kernel_id": "5196"}, {"ref": "turnersmith/getting-started", "kernel_id": "4990"}, {"ref": "praveen241/data-samples", "kernel_id": "7473"}, {"ref": "praveen241/data-samples1", "kernel_id": "7474"}, {"ref": "praveen241/search-result-relevance", "kernel_id": "7535"}, {"ref": "praveen241/python-be2nchmark", "kernel_id": "12355"}, {"ref": "praveen241/summer-intern", "kernel_id": "12356"}, {"ref": "praveen241/summer-intern-final", "kernel_id": "12406"}, {"ref": "jordanqiaoyh/test1", "kernel_id": "5185"}, {"ref": "pippobaudos/normalized-kaggle-distance", "kernel_id": "10976"}, {"ref": "yshan1980/my-test-script", "kernel_id": "6053"}, {"ref": "rishic/utility-write-svd-components-to-file", "kernel_id": "5490"}, {"ref": "winston990839/lda-visualization", "kernel_id": "6899"}, {"ref": "winston990839/hello-world", "kernel_id": "6900"}, {"ref": "kangminyoo/just-another-script", "kernel_id": "6287"}, {"ref": "vastrizhkova/test1", "kernel_id": "6622"}, {"ref": "shreyiitj/exploring-the-crowdflower-data", "kernel_id": "17684"}, {"ref": "sgiere/r-version-of-benchmark-script", "kernel_id": "6752"}, {"ref": "chetkhatri/notebook-06697bcddd64edaaa4b7", "kernel_id": "31828"}, {"ref": "pchichi/lda-visualization", "kernel_id": "7115"}, {"ref": "thelearner1/lda-visualization", "kernel_id": "7167"}, {"ref": "runwei/beating-the-benchmark-0-57", "kernel_id": "12120"}, {"ref": "mrxixo/beating-the-benchmark-0-57", "kernel_id": "13446"}, {"ref": "robinlai/python-benchmark", "kernel_id": "19049"}, {"ref": "raiderx/notebook-f8a4d895a7f2c38b8217", "kernel_id": "39202"}, {"ref": "jerryxue2015/lda-visualization", "kernel_id": "20512"}, {"ref": "khrushch/notebookb609edfec8", "kernel_id": "134232"}, {"ref": "gokul180288/notebook-e3c1a9dbf642def8810a", "kernel_id": "43395"}, {"ref": "gokul180288/notebook-b8bda94303f965b7ce16", "kernel_id": "43382"}, {"ref": "skyliner/notebook-942aaab576bd3f477dba", "kernel_id": "25516"}, {"ref": "floret/notebook-2cb30a6ad951a9143f68", "kernel_id": "37178"}, {"ref": "floret/beating-the-benchmark-0-57", "kernel_id": "37179"}, {"ref": "masadof/ofri-guy", "kernel_id": "65219"}, {"ref": "masadof/notebook-0cf68b79c94343303d7d", "kernel_id": "65457"}, {"ref": "lytrongtrung/notebook-90a6b7cbfeff89287007", "kernel_id": "59946"}, {"ref": "mikeyhu2014/notebook-bf143368a8f8637ba8f8", "kernel_id": "43945"}, {"ref": "jesselinson/notebook-27c9f01fa0e7bd4131bc", "kernel_id": "46568"}, {"ref": "jesselinson/beating-the-benchmark-0-57", "kernel_id": "46564"}, {"ref": "jihyeseo/eda-crowdflower-search-ecommerce", "kernel_id": "958167"}, {"ref": "zhaoxiugao/porter-stemmer", "kernel_id": "49039"}, {"ref": "chemjong/notebook-c048d3c29326f4584b71", "kernel_id": "80626"}, {"ref": "ohafgef/notebook-317c41628a3663366a02", "kernel_id": "81497"}, {"ref": "wangqiqi/test-11-7", "kernel_id": "114406"}, {"ref": "cogsmac/notebook-5146afb115678278f885", "kernel_id": "71021"}, {"ref": "dujiajun/notebookf89748e7e6", "kernel_id": "105193"}, {"ref": "smcgunigal/beating-the-benchmark-0-57", "kernel_id": "266600"}, {"ref": "dindar/crowdflower", "kernel_id": "11061226"}, {"ref": "gautigadu091/eda-nlp", "kernel_id": "14423871"}, {"ref": "gautigadu091/calculating-quadratic-kappa-score-manually", "kernel_id": "14642818"}, {"ref": "shubham8111/regression-model", "kernel_id": "21636017"}, {"ref": "tanvirsiddikemoin/search-results-regression-model", "kernel_id": "34001135"}, {"ref": "aganguly/pinecone-similarity-search", "kernel_id": "41554745"}, {"ref": "monojitsarkar/encoding-crowd-flower", "kernel_id": "43043557"}]}
{"competition_id": "4413", "kernels": []}
{"competition_id": "4427", "kernels": []}
{"competition_id": "4438", "kernels": [{"ref": "benhamner/sql-csv-test", "kernel_id": "5635"}, {"ref": "benhamner/sql-help", "kernel_id": "5636"}, {"ref": "benhamner/fiddling-with-sqlite", "kernel_id": "5559"}, {"ref": "gshguru/logistic-regression", "kernel_id": "8047"}, {"ref": "gshguru/beating-the-benchmark-1", "kernel_id": "5125"}, {"ref": "gshguru/beating-the-benchmark-20000", "kernel_id": "5128"}, {"ref": "domcastro/last-ditch-effort", "kernel_id": "11155"}, {"ref": "jeffmoser/stats-for-mpekalski", "kernel_id": "5324"}, {"ref": "jeffmoser/sample-rows-from-each-table", "kernel_id": "5331"}, {"ref": "jeffmoser/sample-clicks", "kernel_id": "5332"}, {"ref": "jeffmoser/database-schema", "kernel_id": "5059"}, {"ref": "jeffmoser/available-sqlite-tables", "kernel_id": "5053"}, {"ref": "dchudz/visitsstream-100-random-rows", "kernel_id": "5054"}, {"ref": "dchudz/select-from-adsinfo-where-adid-10000", "kernel_id": "5055"}, {"ref": "dchudz/one-user-join-visitsstream-and-adsinfo", "kernel_id": "5056"}, {"ref": "dchudz/one-user-visitsstream", "kernel_id": "5057"}, {"ref": "ccccat/logistic-regression-just-test", "kernel_id": "10514"}, {"ref": "ccccat/random-forest", "kernel_id": "11008"}, {"ref": "abhishek/beating-the-benchmark-1", "kernel_id": "5105"}, {"ref": "sashikanthdareddy/visitsstream-100-random-rows", "kernel_id": "5159"}, {"ref": "nlubchenco/distribution-of-clicks", "kernel_id": "6859"}, {"ref": "satomacoto/join-searchstream-and-other-tables", "kernel_id": "7796"}, {"ref": "satomacoto/logistic-regression", "kernel_id": "7964"}, {"ref": "luciferase/logistic-regression", "kernel_id": "8431"}, {"ref": "thakurrajanand/logistic-regression-on-histctr", "kernel_id": "7360"}, {"ref": "alkrot/beating-the-benchmark", "kernel_id": "5290"}, {"ref": "codingneo/data-exploration", "kernel_id": "7860"}, {"ref": "clustifier/combining-datasets", "kernel_id": "8565"}, {"ref": "chandrad/logistic-regression-understand", "kernel_id": "10103"}, {"ref": "chandrad/logistic-regression-on-histctr", "kernel_id": "7444"}, {"ref": "amoyakd/beating-the-benchmark-2000", "kernel_id": "6760"}, {"ref": "nkhuyu/logistic-regression", "kernel_id": "8502"}, {"ref": "nkhuyu/ultra-logreg-clicks", "kernel_id": "10267"}, {"ref": "woters/logistic-regression-on-ctr", "kernel_id": "8471"}, {"ref": "company/r-dplyr-sqlite", "kernel_id": "7851"}, {"ref": "company/script-aminos-2", "kernel_id": "7852"}, {"ref": "ceshine/logistic-regression-on-histctr", "kernel_id": "8117"}, {"ref": "ceshine/beating-the-benchmark", "kernel_id": "8128"}, {"ref": "ceshine/logistic-regression", "kernel_id": "10656"}, {"ref": "yashwanthreddy/latest-code", "kernel_id": "11549"}, {"ref": "datenkieker/logistic-regression-on-histctr", "kernel_id": "7340"}, {"ref": "triskelion/sample-clicks", "kernel_id": "5472"}, {"ref": "ram1angadala/script-aminos-glm-logit-1", "kernel_id": "11495"}, {"ref": "tinoswe/split-of-python-dataframe-chunk", "kernel_id": "6818"}, {"ref": "tinoswe/split-python-dataframe", "kernel_id": "6820"}, {"ref": "tinoswe/inspect-tables-with-pandas", "kernel_id": "6690"}, {"ref": "skorsun/logistic", "kernel_id": "8084"}, {"ref": "skorsun/beating-the-benchmark", "kernel_id": "8078"}, {"ref": "selimte/script-aminos-glm-logit", "kernel_id": "11200"}, {"ref": "soundwaveli00/logistic-regression", "kernel_id": "9871"}, {"ref": "harshalsoman/firstscript", "kernel_id": "8535"}, {"ref": "zsaurk/logistic-regression", "kernel_id": "9815"}, {"ref": "betterplace/apache-spark-pyspark", "kernel_id": "7248"}, {"ref": "betterplace/chunks-of-large-sqlite", "kernel_id": "7326"}, {"ref": "betterplace/beating-the-benchmark", "kernel_id": "7131"}, {"ref": "betterplace/tesdata", "kernel_id": "7132"}, {"ref": "mas313/merge-all-tables-into-one", "kernel_id": "8519"}, {"ref": "mas313/merge-all-the-files-into-one-data-frame", "kernel_id": "7231"}, {"ref": "sushize/logistic-regression-on-histctr-51", "kernel_id": "7377"}, {"ref": "rootua/apache-spark-scala-logistic-regression", "kernel_id": "8710"}, {"ref": "rootua/logistic-regression-sgd-scikit-learn", "kernel_id": "8715"}, {"ref": "korayp/beating-the-benchmark-2000", "kernel_id": "6700"}, {"ref": "kavadikirajesh/mine1234", "kernel_id": "5855"}, {"ref": "jeffhebert/reading-avito-ad-clicks-data", "kernel_id": "9983"}, {"ref": "jeffhebert/read-avito-ad-clicks-train-data", "kernel_id": "10118"}, {"ref": "tuan3w/notebook-5306afaf7c1dede2133d", "kernel_id": "20795"}, {"ref": "republic966/read-avito-ad-clicks-train-data", "kernel_id": "10551"}, {"ref": "datayo/python-data-explorer", "kernel_id": "10405"}, {"ref": "datayo/logistic-regression", "kernel_id": "10400"}, {"ref": "datayo/script-aminos-glm-logit", "kernel_id": "11478"}, {"ref": "jimenezluna/sql-tries", "kernel_id": "5811"}, {"ref": "brianbai/inspect-tables-with-pandas", "kernel_id": "6370"}, {"ref": "michaelswan/get-some-data-by-sqlite", "kernel_id": "6625"}, {"ref": "roenbaeck/number-of-records-in-every-table", "kernel_id": "6856"}, {"ref": "roenbaeck/length-of-search-strings", "kernel_id": "6888"}, {"ref": "roenbaeck/consistency-of-user-ids", "kernel_id": "6892"}, {"ref": "dowakin/location", "kernel_id": "10326"}, {"ref": "dowakin/count-adid", "kernel_id": "10250"}, {"ref": "anadil/beating-the-benchmark", "kernel_id": "5677"}, {"ref": "owillcox/sql-using-r", "kernel_id": "6340"}, {"ref": "btwardow/r-dplyr-sqlite", "kernel_id": "6557"}, {"ref": "rbhadra/logistictest", "kernel_id": "12945"}, {"ref": "rbhadra/testing", "kernel_id": "12916"}, {"ref": "guangzhan/logistic-regression", "kernel_id": "18313"}, {"ref": "guangzhan/randomforestclassifier-1", "kernel_id": "18522"}, {"ref": "ryutek/logistic-regression-on-histctr", "kernel_id": "7616"}, {"ref": "ryutek/count", "kernel_id": "10222"}, {"ref": "ryutek/join-test", "kernel_id": "7905"}, {"ref": "yejiming/combining-datasets", "kernel_id": "8001"}, {"ref": "denniskaggle/data-explorations-v2", "kernel_id": "8700"}, {"ref": "denniskaggle/sql-data-explorations", "kernel_id": "8705"}, {"ref": "deepcnn/btb-ftrl", "kernel_id": "10908"}, {"ref": "albertium/beating-the-benchmark", "kernel_id": "7421"}, {"ref": "archieindian/logistic-regression-on-histctr", "kernel_id": "7998"}, {"ref": "buntha/apache-spark-sql-script-using-pyspark", "kernel_id": "6988"}, {"ref": "lohath/number-of-users", "kernel_id": "6948"}, {"ref": "adamwong/script-aminos-glm-logit", "kernel_id": "11163"}, {"ref": "adamwong/random-forest", "kernel_id": "10794"}, {"ref": "adamwong/script-aminos-glm-logit-1", "kernel_id": "11515"}, {"ref": "kelexu/notebook-c9664b37331d63aa07ed", "kernel_id": "36496"}, {"ref": "thodime/add-v1", "kernel_id": "10339"}, {"ref": "thodime/dummy-2", "kernel_id": "10341"}, {"ref": "huhugravity/select", "kernel_id": "5214"}, {"ref": "thomascleberg/indexing-sqllite-db", "kernel_id": "6833"}, {"ref": "goldenbearami/python-data-explorer", "kernel_id": "10548"}, {"ref": "olivermeyfarth/logistic-regression-on-histctr", "kernel_id": "7315"}, {"ref": "amineteffal/script-aminos-2-1", "kernel_id": "7827"}, {"ref": "amineteffal/script-aminos-4", "kernel_id": "8548"}, {"ref": "amineteffal/script-aminos-tree", "kernel_id": "8718"}, {"ref": "amineteffal/script-aminos", "kernel_id": "7574"}, {"ref": "dfjmulder/subquery-s-are-fun-for-subsets", "kernel_id": "5507"}, {"ref": "dfjmulder/subqueries-are-fun-for-subsets", "kernel_id": "5508"}, {"ref": "dfjmulder/tester", "kernel_id": "10695"}, {"ref": "jpopham91/logistic-regression", "kernel_id": "8048"}, {"ref": "thatsgoodtoast/beating-the-benchmark", "kernel_id": "5135"}, {"ref": "zhangjunw/sassss", "kernel_id": "56686"}, {"ref": "zhangjunw/tensorflowtest", "kernel_id": "56688"}, {"ref": "sairaviteja/script-aminos-glm-logit", "kernel_id": "11078"}, {"ref": "sairaviteja/random-forest", "kernel_id": "10951"}, {"ref": "lancerts/data-exploration", "kernel_id": "8172"}, {"ref": "debayan/script-aminos-glm-logit", "kernel_id": "11224"}, {"ref": "rinalin/notebookfb9fc8c339", "kernel_id": "210327"}, {"ref": "sionek/histctr-price", "kernel_id": "11335"}, {"ref": "jordantom/test-script", "kernel_id": "6338"}, {"ref": "luyaoly/beating-the-benchmark", "kernel_id": "6098"}, {"ref": "shubhamp05/notebook-c74e157d84bd2ad0eb49", "kernel_id": "41559"}, {"ref": "brandonsangsoolee/notebooka89a21f65c", "kernel_id": "89215"}, {"ref": "alledluviette/to-csv", "kernel_id": "11000"}, {"ref": "alledluviette/logistic-regression-on-ctr-pt-2", "kernel_id": "10576"}, {"ref": "alledluviette/ctr-test", "kernel_id": "8583"}, {"ref": "mengyanglin/logistic-regression", "kernel_id": "8191"}, {"ref": "alexlzzz/join-test", "kernel_id": "10105"}, {"ref": "mengxchen/logistic-regression", "kernel_id": "8290"}, {"ref": "gangiettiarjun/logistic-regression-on-histctr", "kernel_id": "53390"}, {"ref": "gangiettiarjun/notebook-15cce086d8b584c224dd", "kernel_id": "53391"}, {"ref": "praveenaoe/notebook-f3136d06747cdfa36d32", "kernel_id": "20471"}, {"ref": "lucaguerra/notebook-16d117d542cfdb4576a1", "kernel_id": "22561"}, {"ref": "wangwei123/notebook1cf274395a", "kernel_id": "275622"}, {"ref": "vamreddy123/notebooke7c8ae08a2", "kernel_id": "100802"}, {"ref": "liushaobo/notebook-75f4e82a2e1e1eb000e2", "kernel_id": "33329"}, {"ref": "silence2hit/notebook-abbc9f6d85d95984f149", "kernel_id": "43644"}, {"ref": "jihyeseo/avito-tsv-csv-sqlite", "kernel_id": "958419"}, {"ref": "lihappy999/notebook-b8d20b672c55e3a49329", "kernel_id": "84678"}, {"ref": "nathanli3636/beating-the-benchmark", "kernel_id": "75685"}, {"ref": "arjingk9926/beating-the-benchmark", "kernel_id": "213677"}, {"ref": "gugululu1122/hehehe", "kernel_id": "269083"}, {"ref": "rahulpatel11315/read-data-from-tsv-file-using-pandas-dataframe", "kernel_id": "2958923"}]}
{"competition_id": "4441", "kernels": []}
{"competition_id": "4447", "kernels": []}
{"competition_id": "4450", "kernels": []}
{"competition_id": "4451", "kernels": []}
{"competition_id": "4453", "kernels": [{"ref": "benhamner/default-r-text-2", "kernel_id": "5818"}, {"ref": "benhamner/default-python-script-1", "kernel_id": "5819"}, {"ref": "benhamner/default-julia-script-1", "kernel_id": "5820"}, {"ref": "benhamner/default-rmarkdown-text", "kernel_id": "5822"}, {"ref": "benhamner/t-sne-visualization-of-devices", "kernel_id": "5884"}, {"ref": "benhamner/exploring-the-drawbridge-data", "kernel_id": "5898"}, {"ref": "benhamner/fiddling-with-r-4", "kernel_id": "5903"}, {"ref": "benhamner/fiddling-with-rmarkdown-1", "kernel_id": "5905"}, {"ref": "benhamner/reading-bad-csv-files", "kernel_id": "5906"}, {"ref": "benhamner/fixing-bad-csv-files-with-download", "kernel_id": "6113"}, {"ref": "benhamner/sqlite-database-schema", "kernel_id": "6194"}, {"ref": "benhamner/sample-rows-from-each-sqlite-table", "kernel_id": "6195"}, {"ref": "benhamner/accessing-sqlite-from-python", "kernel_id": "6196"}, {"ref": "benhamner/fixing-bad-csv-files-downloads-3", "kernel_id": "6170"}, {"ref": "benhamner/playground-3-2", "kernel_id": "29905"}, {"ref": "benhamner/test1", "kernel_id": "242480"}, {"ref": "olivetti/ip-join", "kernel_id": "6235"}, {"ref": "willieliao/random-sample-by-country", "kernel_id": "12554"}, {"ref": "cmorton/most-popular-cookie-in-country", "kernel_id": "12895"}, {"ref": "bsatya/test1", "kernel_id": "13425"}, {"ref": "silviorevelli/device-cookie-top-10-correlated-feat", "kernel_id": "11017"}, {"ref": "chandrad/random-sample-by-country-testing", "kernel_id": "12566"}, {"ref": "docardoso/baseline", "kernel_id": "7053"}, {"ref": "docardoso/trash", "kernel_id": "7029"}, {"ref": "docardoso/data-exploration", "kernel_id": "7026"}, {"ref": "kmsingh/notebook-7cd23f4a1ddf478d560a", "kernel_id": "24101"}, {"ref": "ariesrups/joining-the-tables", "kernel_id": "9916"}, {"ref": "tenaciousterrier/t-sne-visualization-of-devices", "kernel_id": "6615"}, {"ref": "centsoft/exploring-the-drawbridge-data", "kernel_id": "6523"}, {"ref": "chenditc/sql-structure", "kernel_id": "11643"}, {"ref": "senbong/repair-csv-file", "kernel_id": "7779"}, {"ref": "bharatgarg/default-python-script", "kernel_id": "6645"}, {"ref": "liweilin/notebook-3502a5286da328b8a938", "kernel_id": "70319"}, {"ref": "sujeeth/icdm-2015", "kernel_id": "11871"}, {"ref": "datayo/first-commit", "kernel_id": "12138"}, {"ref": "w114pxs/test-test", "kernel_id": "10801"}, {"ref": "khyh00/check-publicleaderboard-csv", "kernel_id": "15991"}, {"ref": "chennnn/notebook-ca82c981d79a375e29ad", "kernel_id": "38982"}, {"ref": "kfeng123/test1", "kernel_id": "10327"}, {"ref": "pbkaran/data-exploration", "kernel_id": "13588"}, {"ref": "pbkaran/sqlite-data-exploration", "kernel_id": "13647"}, {"ref": "dowakin/sql-structure", "kernel_id": "10200"}, {"ref": "maddarwin/accessing-sqlite-from-python", "kernel_id": "6197"}, {"ref": "ryutek/random-sample-by-country", "kernel_id": "13628"}, {"ref": "ryutek/sqlite-database-schema", "kernel_id": "15065"}, {"ref": "jayjay75/unsupervised-to-supervised", "kernel_id": "11991"}, {"ref": "jayjay75/summary", "kernel_id": "8287"}, {"ref": "yashoswal/sample-rows-from-each-sqlite", "kernel_id": "10604"}, {"ref": "duttaroy/exploration", "kernel_id": "13046"}, {"ref": "hmupakura/fixing-bad-csv-files-with-download", "kernel_id": "10199"}, {"ref": "thodime/icdm-v1", "kernel_id": "14529"}, {"ref": "ekamioka/cleaning-extracting-only-numbers", "kernel_id": "13732"}, {"ref": "sairaviteja/device-cookie-top-10-correlated-feat", "kernel_id": "12795"}, {"ref": "gladsheim/new-script", "kernel_id": "12616"}, {"ref": "endofdream/test22", "kernel_id": "6233"}, {"ref": "icaner/device-cookie-top-10-correlated-feat", "kernel_id": "11672"}, {"ref": "jihyeseo/unzip-eda-dataset-removed", "kernel_id": "958388"}]}
{"competition_id": "4455", "kernels": []}
{"competition_id": "4456", "kernels": []}
{"competition_id": "4458", "kernels": [{"ref": "benhamner/sf-crimes-by-day-of-year", "kernel_id": "11611"}, {"ref": "benhamner/fighting-crime-with-keras", "kernel_id": "5652"}, {"ref": "benhamner/julia-benchmark", "kernel_id": "5385"}, {"ref": "benhamner/saving-the-python-maps-file", "kernel_id": "5166"}, {"ref": "benhamner/san-francisco-top-crimes-map", "kernel_id": "5039"}, {"ref": "benhamner/sf-crime-maps-by-crime", "kernel_id": "5042"}, {"ref": "benhamner/prostitution-in-san-francisco", "kernel_id": "5052"}, {"ref": "benhamner/show-map-image-in-python", "kernel_id": "5061"}, {"ref": "benhamner/frequency-of-crimes-in-san-francisco", "kernel_id": "4778"}, {"ref": "benhamner/crimes-clustered-by-location", "kernel_id": "5969"}, {"ref": "benhamner/notebook5799baea69", "kernel_id": "243238"}, {"ref": "olivetti/connecting-crimes", "kernel_id": "5288"}, {"ref": "dchudz/histograms-of-crime-category-by-day", "kernel_id": "5181"}, {"ref": "rapidminer/cluster-of-crimes-near-hall-of-justice", "kernel_id": "15230"}, {"ref": "brego81/mr-sherlock-holmes", "kernel_id": "62539"}, {"ref": "brego81/notebook-271b959df28930ca5064", "kernel_id": "62540"}, {"ref": "ytbaum/notebook-eb919f40adb24ebacc3c", "kernel_id": "23025"}, {"ref": "albahnsen/notebook-65737169ab5845862148", "kernel_id": "25557"}, {"ref": "n3n77i/sf-random-logloss", "kernel_id": "20516"}, {"ref": "n3n77i/sf-lazygraph", "kernel_id": "20388"}, {"ref": "upulbandara/notebook-3f0e171f1ef56cc4520a", "kernel_id": "23200"}, {"ref": "chasset/crime-density-by-location", "kernel_id": "34513"}, {"ref": "cahyaong/sf-crime-data-exploration", "kernel_id": "36882"}, {"ref": "wendykan/don-t-know-what-i-want-to-do-yet", "kernel_id": "4905"}, {"ref": "anjuta/notebook-ee8845d8c524e6b53f1f", "kernel_id": "46588"}, {"ref": "anjuta/basic-observation", "kernel_id": "46589"}, {"ref": "anjuta/notebook-0593b58490ea98040c8f", "kernel_id": "43650"}, {"ref": "chadiver/prevalent-crimes-in-san-francisco", "kernel_id": "5722"}, {"ref": "revanthb3000/notebook-53c0932c0fe037d879ae", "kernel_id": "33468"}, {"ref": "andrewtrice/notebook-b036a08e233157606f6f", "kernel_id": "59853"}, {"ref": "ojcastillo/san-francisco-top-crimes-map", "kernel_id": "65360"}, {"ref": "ojcastillo/notebook-73b2a33746d8507f845b", "kernel_id": "65363"}, {"ref": "rudikruger/liblinear", "kernel_id": "5498"}, {"ref": "smerity/fighting-crime-with-keras", "kernel_id": "5474"}, {"ref": "tokukawa/naive-bayes-test", "kernel_id": "54878"}, {"ref": "saurabh2086/notebook-ddbd03d93ab736ddafff", "kernel_id": "20790"}, {"ref": "saurabh2086/sfcrime", "kernel_id": "20792"}, {"ref": "saurabh2086/sfcrime-v1", "kernel_id": "20754"}, {"ref": "gustavodemari/notebook-349abc07ce5099848cc2", "kernel_id": "29887"}, {"ref": "gustavodemari/notebook-5e8f8d3d294275afd980", "kernel_id": "29892"}, {"ref": "gustavodemari/san-francisco-crime-classification", "kernel_id": "31085"}, {"ref": "redward/notebook-53285c25afe1cd63f656", "kernel_id": "37039"}, {"ref": "redward/sf-crime", "kernel_id": "37040"}, {"ref": "tushuhei/notebook-18f21225b69bcc8e7b49", "kernel_id": "58897"}, {"ref": "cbourne/sf-prediction-multinom-reg", "kernel_id": "19536"}, {"ref": "cbourne/sf-prediction-multinom-reg3", "kernel_id": "19539"}, {"ref": "cbourne/sf-prediction-multinom-reg2", "kernel_id": "19540"}, {"ref": "qbert64/first-look", "kernel_id": "5953"}, {"ref": "joshwa/notebook-301ff5f7466f0511dc6c", "kernel_id": "66413"}, {"ref": "appmathdoc/notebook-feb90257949f3a8ffaa8", "kernel_id": "43416"}, {"ref": "lishantao/notebook-11d134a6e10420b76cbf", "kernel_id": "40878"}, {"ref": "amoyakd/lda-v1-2", "kernel_id": "6756"}, {"ref": "amoyakd/in-python", "kernel_id": "6777"}, {"ref": "amoyakd/liblinear-score-2-5921", "kernel_id": "5950"}, {"ref": "amoyakd/lda-1-1-invariable", "kernel_id": "5993"}, {"ref": "raphaelfeng/notebook-6fdb944b10df13ad61fd", "kernel_id": "34861"}, {"ref": "itsyourvin/notebook-3e531d452f0edec12e78", "kernel_id": "56378"}, {"ref": "ijaganjac/sf-crime-knn-benchmark-in-r", "kernel_id": "53852"}, {"ref": "jasontam/notebook-30c111d70ee8e1181401", "kernel_id": "44681"}, {"ref": "company/nrounds-24", "kernel_id": "59705"}, {"ref": "gopijey/notebook-2d6c3adaeba4a055c744", "kernel_id": "50048"}, {"ref": "travismark/proportional-by-hr-yr-mo-district", "kernel_id": "15754"}, {"ref": "travismark/proportional-by-hour-year-district", "kernel_id": "15589"}, {"ref": "hdarabi/notebook-83c36fc38e9b51b158eb", "kernel_id": "32398"}, {"ref": "niranjansonachalam/notebook-cca558fcae951f79fa3c", "kernel_id": "31443"}, {"ref": "amindh/notebook-dd0bf13d9c39d08b4319", "kernel_id": "66489"}, {"ref": "zambeel/notebook-9cb9728cc0c92fef1506", "kernel_id": "34961"}, {"ref": "natereed/crime-heatmap", "kernel_id": "32089"}, {"ref": "natereed/notebook-6dbc513470bb5ab80243", "kernel_id": "32006"}, {"ref": "natereed/notebook-71134cac175230735b2b", "kernel_id": "32008"}, {"ref": "gantell/other-offenses-traffic-violations", "kernel_id": "23052"}, {"ref": "mksunel/notebook-d609efcbaf73636b4b5b", "kernel_id": "67885"}, {"ref": "aliciabrown/notebook-622827a0b91757b54510", "kernel_id": "25598"}, {"ref": "rtremeaud/notebook-da4db738c2624adcbf5b", "kernel_id": "66000"}, {"ref": "triskelion/frequency-of-crimes-in-san-francisco", "kernel_id": "5130"}, {"ref": "bateou29/heatmap-crime-by-district-and-year", "kernel_id": "20393"}, {"ref": "boldoo/notebook-a98e17ff677cfa493c04", "kernel_id": "45798"}, {"ref": "boldoo/mr-sherlock-holmes", "kernel_id": "46364"}, {"ref": "sinaasappel/data-exploration", "kernel_id": "23850"}, {"ref": "sinaasappel/number-of-crimes-per-weekday", "kernel_id": "23898"}, {"ref": "sinaasappel/exploration-n-crimes-per-day", "kernel_id": "23983"}, {"ref": "sinaasappel/number-of-crimes-per-day", "kernel_id": "23987"}, {"ref": "sinaasappel/hour-of-the-day-and-the-number-of-crimes", "kernel_id": "24141"}, {"ref": "sammyshen/ssdgfh", "kernel_id": "5112"}, {"ref": "sonuk7/nothing-to-see-here-playing-around", "kernel_id": "8569"}, {"ref": "sonuk7/prediction-with-out-sklearn", "kernel_id": "6755"}, {"ref": "sonuk7/prediction-with-bernoulinb", "kernel_id": "6816"}, {"ref": "sonuk7/test-script-nothing-here", "kernel_id": "15401"}, {"ref": "palash/notebook-6d19e0598ebb29c192c4", "kernel_id": "31289"}, {"ref": "gatesmbrown/notebook-db89ad746368c1e814c5", "kernel_id": "33583"}, {"ref": "gatesmbrown/notebook-bdcdbd68836b8fe5cd99", "kernel_id": "33584"}, {"ref": "gatesmbrown/notebook-aced964a70ada4c1c761", "kernel_id": "33446"}, {"ref": "gatesmbrown/notebook-0eea3e33b329f06afb88", "kernel_id": "33449"}, {"ref": "dbacarel/notebook-50daf9fbcb18e5e35024", "kernel_id": "29507"}, {"ref": "jinnonny/notebook-406ee0b00c4682ab606c", "kernel_id": "32578"}, {"ref": "syleeie/fighting-crime-with-keras", "kernel_id": "10145"}, {"ref": "fernandohernandez/test1", "kernel_id": "6886"}, {"ref": "fernandohernandez/exploring-crime-over-the-week-pt-1", "kernel_id": "6946"}, {"ref": "fernandohernandez/notebook-1dfee10e78fb1de56850", "kernel_id": "38474"}, {"ref": "fredrikskatland/notebook-928b45c13a8561e76ae4", "kernel_id": "30767"}, {"ref": "fredrikskatland/sf-crime-c5-0-tree", "kernel_id": "32287"}, {"ref": "laurenstabile/notebook-a5ca3bd4475b1f8b7a55", "kernel_id": "39380"}, {"ref": "dumbo44/jjjjj", "kernel_id": "27829"}, {"ref": "dumbo44/notebook-7c9741e8c14c082d6374", "kernel_id": "27797"}, {"ref": "dumbo44/iiiii", "kernel_id": "27824"}, {"ref": "kunalvyas/heatmaps-for-attributes", "kernel_id": "22031"}, {"ref": "kunalvyas/notebook-a9aadf18a6f761bbe9e7", "kernel_id": "22032"}, {"ref": "jmoney8807/police-district-map", "kernel_id": "32416"}, {"ref": "tfurmston/crimes-that-occur-on-a-street-corner", "kernel_id": "16301"}, {"ref": "tautvydas/notebook-59fd1ff8a320553b1e74", "kernel_id": "50961"}, {"ref": "lalith21/mutlinomial-nb-model", "kernel_id": "27656"}, {"ref": "dataying/randomforest-with-graphlab", "kernel_id": "51850"}, {"ref": "henrylinra/notebook-b578d3ac9076bc8a4ef3", "kernel_id": "38688"}, {"ref": "laiyuanhao/san-francisco-top-crimes-map", "kernel_id": "10085"}, {"ref": "sflender/notebook-17d370323eff6a436f77", "kernel_id": "42903"}, {"ref": "sflender/notebook-9b85df261eb44b0d2b9d", "kernel_id": "43229"}, {"ref": "erolrecep/notebook-d3ee62b272402f93fe9e", "kernel_id": "34679"}, {"ref": "lancedeng/notebook-5dbc91bf2b6ca9c8e6c9", "kernel_id": "69025"}, {"ref": "jimmybrown/notebook-0c61ca9f89862e08582c", "kernel_id": "39686"}, {"ref": "burakisikli/notebook-2af012a562cf9063a6ff", "kernel_id": "21270"}, {"ref": "denyven/notebook-39f636e8376dce37d071", "kernel_id": "22540"}, {"ref": "kaggler175537/white-collar-vs-blue-collar-crime-in-sf", "kernel_id": "10507"}, {"ref": "dbennett/test-map", "kernel_id": "5869"}, {"ref": "deborahdeng/san-francisco-crime-classification", "kernel_id": "43011"}, {"ref": "espanarey/extracting-street-suffix-from-address", "kernel_id": "6228"}, {"ref": "chelonii/notebook-e16180188ff62135932b", "kernel_id": "35256"}, {"ref": "srivatsanv/simple-naives-bayesian-stuff", "kernel_id": "7689"}, {"ref": "irvicrodriguez/notebook-fe8d6ba57ebd35519c4c", "kernel_id": "21926"}, {"ref": "cryptexis/notebook-b790dd121b5ec96ee395", "kernel_id": "23823"}, {"ref": "sagarchat/logistic-regression", "kernel_id": "13234"}, {"ref": "schorlem/notebook-e2f91914d0f5b805e288", "kernel_id": "48005"}, {"ref": "schorlem/notebook-b854f900ba6236a698ea", "kernel_id": "49519"}, {"ref": "sbarkin/notebook-16d7f6b9dbab62679b6e", "kernel_id": "69131"}, {"ref": "codechamp/crime-density-by-location", "kernel_id": "6201"}, {"ref": "victoregb/san-francisco-map-top-9-crime", "kernel_id": "5611"}, {"ref": "victoregb/sf-pd-districts-and-top-10-crime-maps", "kernel_id": "5657"}, {"ref": "erikajalvarado/notebook7375be7689", "kernel_id": "190459"}, {"ref": "sergeylebedev/initial-benchmark-need-tuning", "kernel_id": "35919"}, {"ref": "jackdaw/notebook-2f13d1a3c66102e49a98", "kernel_id": "44483"}, {"ref": "namra42/notebook-6c496d35acff6029534d", "kernel_id": "42806"}, {"ref": "vivekyadav/sfo-rmd-kaggle", "kernel_id": "37365"}, {"ref": "vivekyadav/notebook-ee657b43242ea4c0553b", "kernel_id": "36104"}, {"ref": "anuragsethi/notebook-e7c57b8103ca0824d527", "kernel_id": "39683"}, {"ref": "mircat/scraping-sports-data-with-r", "kernel_id": "40211"}, {"ref": "mircat/notebook-b0280026e00f759ddcd5", "kernel_id": "40209"}, {"ref": "mircat/violent-crime-mapping", "kernel_id": "34393"}, {"ref": "mircat/notebook-36b7ca27fa8613795b9b", "kernel_id": "34390"}, {"ref": "bibins/san-francisco-top-crimes-map", "kernel_id": "16202"}, {"ref": "bibins/san-francisco-top-crimes-map2", "kernel_id": "22568"}, {"ref": "qhduan/notebook-91141c69ef2433b6c4d7", "kernel_id": "60259"}, {"ref": "runshengsong/crime-event-per-district", "kernel_id": "12086"}, {"ref": "anantgupta/notebook-00bc77afb6df128a5b3b", "kernel_id": "65658"}, {"ref": "anantgupta/notebook-ecfdf63efd16c157be60", "kernel_id": "65576"}, {"ref": "anantgupta/notebook-2572b1186337e3cc69f0", "kernel_id": "65612"}, {"ref": "anantgupta/notebook-7aafd88361a8f1cf2f38", "kernel_id": "65615"}, {"ref": "anantgupta/simple-analysis", "kernel_id": "65487"}, {"ref": "okezie/notebook-f71b5e79c701df3f5d53", "kernel_id": "61995"}, {"ref": "yunali/notebook-b34800c506fd006f8328", "kernel_id": "53953"}, {"ref": "yunali/test-crime", "kernel_id": "56314"}, {"ref": "apatti/sf-map-plot-with-crime-category", "kernel_id": "10626"}, {"ref": "apatti/basic-bar-plot-of-crime-category", "kernel_id": "10398"}, {"ref": "apatti/sf-crime-per-year", "kernel_id": "11251"}, {"ref": "apatti/crime-classification-per-month-per-year", "kernel_id": "11832"}, {"ref": "aagarw30/visualize-sfo-crime", "kernel_id": "19596"}, {"ref": "alanfeder/notebook-4070cc99a57c7689c657", "kernel_id": "47635"}, {"ref": "hypergear/notebook-9bfa9dab6abbbd482758", "kernel_id": "33674"}, {"ref": "joyax23/notebook-fe88085dc099416d793a", "kernel_id": "45270"}, {"ref": "jparle/prevalent-crimes-in-san-francisco", "kernel_id": "21886"}, {"ref": "sagarverma/ensemble", "kernel_id": "51386"}, {"ref": "sagarverma/enssemble", "kernel_id": "51389"}, {"ref": "toddler/local-validation-multi-class-log-loss", "kernel_id": "16504"}, {"ref": "rajatarora/dist-of-crimes-wrt-day-of-occurence", "kernel_id": "14348"}, {"ref": "goerlitz/frequency-of-events-per-category", "kernel_id": "54621"}, {"ref": "tyrinwu/a-history-of-crime", "kernel_id": "16266"}, {"ref": "eyecjay/vehicle-thefts-or-jerry-rice-jubilation", "kernel_id": "7079"}, {"ref": "rushilr/azi-rushil-zach", "kernel_id": "95397"}, {"ref": "almach/notebook-13fbce4ac32bdebc8a97", "kernel_id": "66145"}, {"ref": "almach/notebook-19e94f26d77d0fe99364", "kernel_id": "65224"}, {"ref": "almach/my-first-kaggle-script", "kernel_id": "61613"}, {"ref": "abaghudana/san-fransisco", "kernel_id": "51182"}, {"ref": "pratik1390/notebook0bdc9d8276", "kernel_id": "199142"}, {"ref": "gyoussouf/notebook52fcfdb303", "kernel_id": "110455"}, {"ref": "wenjie1070116/notebook-de0a3d82562c128e96f2", "kernel_id": "27688"}, {"ref": "ruelensjessica/notebook-ed0c7c3f4a2aa33d7f0a", "kernel_id": "44158"}, {"ref": "unknot/notebook-d2dc2ce8223bdcff35f4", "kernel_id": "36556"}, {"ref": "rajarsheem/notebook-5a49a7614c296e8cdd27", "kernel_id": "61590"}, {"ref": "rajarsheem/notebook-d3339eab50fa4a826bb7", "kernel_id": "61591"}, {"ref": "rajarsheem/notebook-b3ef2d6965343a5065bc", "kernel_id": "61519"}, {"ref": "rajarsheem/notebook-c1317f7f6a1902ca2737", "kernel_id": "61587"}, {"ref": "rajarsheem/notebook-9894fd68fffb7f706084", "kernel_id": "61588"}, {"ref": "esingh9/es-111", "kernel_id": "20055"}, {"ref": "kvn219/notebook-ac4a752122161f4d4b1b", "kernel_id": "40636"}, {"ref": "raslin/notebook-6d5948cf8ab93ae1e0e0", "kernel_id": "23249"}, {"ref": "victormora/notebook-1d56bb6baab49fd95511", "kernel_id": "27214"}, {"ref": "nakapoor/total-crime-year-in-each-area", "kernel_id": "24728"}, {"ref": "celniker/notebook-aeaea7512dd6b28f4dd9", "kernel_id": "48738"}, {"ref": "celniker/notebook-49fac0775bc07451ba74", "kernel_id": "48739"}, {"ref": "celniker/a-history-of-crime", "kernel_id": "23560"}, {"ref": "eqwang/notebook-020dfd3b2a72db0223c1", "kernel_id": "36831"}, {"ref": "flymperopoulos/notebook-e1442dd8e9cd107641fd", "kernel_id": "37084"}, {"ref": "sprites/notebook-3d8084d31b35c0de84a6", "kernel_id": "73289"}, {"ref": "danieloverdevest/notebook-9915ce90b7d88597f491", "kernel_id": "28852"}, {"ref": "megwalterss/notebook-b215a562b18ff5d00cb8", "kernel_id": "36094"}, {"ref": "megwalterss/notebook-9b471e2a552a7c1d9fac", "kernel_id": "36095"}, {"ref": "megwalterss/notebook-4cbcb1d0d39fba43ab6f", "kernel_id": "36096"}, {"ref": "megwalterss/notebook-6a85f40884c99f300ffd", "kernel_id": "36097"}, {"ref": "megwalterss/notebook-c127b3b337dfcaba0248", "kernel_id": "36098"}, {"ref": "megwalterss/notebook-10b8b435af3ef8c5d1f3", "kernel_id": "36101"}, {"ref": "randomscientist/bayes", "kernel_id": "22894"}, {"ref": "azharuddinp/notebook-1b94d9a2e69b8f8ab642", "kernel_id": "56318"}, {"ref": "zthomas/azi-rushil-zach", "kernel_id": "95396"}, {"ref": "zthomas/san-francisco-crime-data-visualization", "kernel_id": "96769"}, {"ref": "amadord903/crimes-shiny-dashboard", "kernel_id": "5446"}, {"ref": "amadord903/sf-crimes-heatmap-by-category", "kernel_id": "5530"}, {"ref": "amadord903/crimes-heatmap-by-category", "kernel_id": "5532"}, {"ref": "xdurana/knn-simple", "kernel_id": "27155"}, {"ref": "skylord/interactive-crime-visualization", "kernel_id": "24007"}, {"ref": "skylord/notebook-52624a99358c338cdaa6", "kernel_id": "24977"}, {"ref": "skylord/simple-naives-bayesian-stuff", "kernel_id": "7488"}, {"ref": "tobiasweis/savemapforpython", "kernel_id": "89573"}, {"ref": "catherinekherian/sf-crimes-show-two-peaks-each-month", "kernel_id": "10690"}, {"ref": "ekrivich/notebook-aaa5fce4b013f6eac4fd", "kernel_id": "40747"}, {"ref": "rohanpota/notebook-2fafc5df71e768575c7e", "kernel_id": "23436"}, {"ref": "sukki89/notebook-2bac5780af539601f5df", "kernel_id": "58015"}, {"ref": "kunalkumar/notebook-a2a00b287f6d34e672d4", "kernel_id": "26989"}, {"ref": "nkorolyov/kekek", "kernel_id": "21616"}, {"ref": "afrid0/notebook-a1a65db7a138436aa144", "kernel_id": "68642"}, {"ref": "afrid0/effective-but-slow-xgboost", "kernel_id": "68813"}, {"ref": "guangzhan/predict-crime-is-a-multilabel-task", "kernel_id": "82033"}, {"ref": "papadopc/neural-nets-and-address-featurization", "kernel_id": "12992"}, {"ref": "nhouari/sf-crime072016", "kernel_id": "75122"}, {"ref": "nhouari/notebook-03047974a405d7ea6522", "kernel_id": "75124"}, {"ref": "nhouari/notebook-a7f0130da43785d860a7", "kernel_id": "75128"}, {"ref": "nhouari/notebook-60582159d198ec9a73a6", "kernel_id": "74184"}, {"ref": "nhouari/notebook-5c3df90d2b809344980c", "kernel_id": "74120"}, {"ref": "nhouari/notebook-11ac0846964ccca0b16f", "kernel_id": "64122"}, {"ref": "nhouari/notebook-4355b7b7b6ebd01bfe47", "kernel_id": "67091"}, {"ref": "cxwcxw2001/logistic-regression-v1-2", "kernel_id": "32845"}, {"ref": "wiking/connecting-crimes", "kernel_id": "17201"}, {"ref": "jaycode/notebook-59a064becad9541fd371", "kernel_id": "58323"}, {"ref": "jaycode/notebook-709b7b22db83c812424a", "kernel_id": "58346"}, {"ref": "jaycode/mr-sherlock-holmes", "kernel_id": "53599"}, {"ref": "jaycode/baseline", "kernel_id": "53600"}, {"ref": "jaycode/initial-test", "kernel_id": "53595"}, {"ref": "jaycode/notebook-bd235262366f9e76929a", "kernel_id": "53620"}, {"ref": "jaycode/notebook-4374d345c39715335060", "kernel_id": "53613"}, {"ref": "sbronder/extracting-street-suffix-from-address", "kernel_id": "6311"}, {"ref": "tilaya/crime-proportions-by-features", "kernel_id": "23924"}, {"ref": "tilaya/notebook-7b9e7a83f403397f5670", "kernel_id": "25744"}, {"ref": "tilaya/notebook-e22deabdb7fd0594e8b5", "kernel_id": "26231"}, {"ref": "unist111258/notebook-11cbf2a8dba5c9761dc7", "kernel_id": "29219"}, {"ref": "lordjw/notebook-bb4e5e942dc778174333", "kernel_id": "25451"}, {"ref": "lordjw/notebook-b32a0f2dff8fe3597b03", "kernel_id": "25449"}, {"ref": "iezepov/test-script", "kernel_id": "16796"}, {"ref": "forestcoder/mapping-r", "kernel_id": "39919"}, {"ref": "forestcoder/rpartglm-r", "kernel_id": "39956"}, {"ref": "forestcoder/notebook-13771311ccadaaa2e8a7", "kernel_id": "31273"}, {"ref": "wadefk/notebook-d861c7dbc82bce06ee08", "kernel_id": "25498"}, {"ref": "wadefk/notebook-92bc449aabffd65bf567", "kernel_id": "25499"}, {"ref": "wadefk/wadefk", "kernel_id": "29675"}, {"ref": "wadefk/notebook-47624633b61c4f95c10f", "kernel_id": "29676"}, {"ref": "wadefk/wadefk1", "kernel_id": "29677"}, {"ref": "mchirico/vehicle-thefts-drops-off-after-2006", "kernel_id": "5333"}, {"ref": "mchirico/list-files-1", "kernel_id": "66978"}, {"ref": "mchirico/pull-maps-outside-kaggle", "kernel_id": "85328"}, {"ref": "saravrajavelu/notebook-00bdc3055dd1d846bd53", "kernel_id": "63473"}, {"ref": "saravrajavelu/bag-and-tag", "kernel_id": "63474"}, {"ref": "saravrajavelu/testing-crime", "kernel_id": "36509"}, {"ref": "lavinialau/crime-map-crime-type-by-hour", "kernel_id": "43534"}, {"ref": "popwin/mapsf", "kernel_id": "5851"}, {"ref": "ashishdutt/notebook-519f72254b656f2c3284", "kernel_id": "33876"}, {"ref": "ashishdutt/notebook8d5e0f2b80", "kernel_id": "172373"}, {"ref": "swbevan/a-history-of-crime", "kernel_id": "6559"}, {"ref": "swbevan/a-history-of-crime-python", "kernel_id": "6560"}, {"ref": "simonstolz/notebook-a633287a4939ad1dfa37", "kernel_id": "32625"}, {"ref": "sanghan/top-crimes-zones", "kernel_id": "5601"}, {"ref": "sanghan/tableau-sf-crimes-map", "kernel_id": "5916"}, {"ref": "sanghan/crime-map-viz", "kernel_id": "5918"}, {"ref": "danpaulius/notebook-059129a3ddb61288bb09", "kernel_id": "68608"}, {"ref": "danpaulius/data-exploration-in-different-dimensions", "kernel_id": "68632"}, {"ref": "danpaulius/exploration-of-sf-crime-data", "kernel_id": "68652"}, {"ref": "amhchiu/crime-at-different-hours-of-the-day", "kernel_id": "16432"}, {"ref": "borozanov/fighting-crime-with-keras", "kernel_id": "33604"}, {"ref": "echamp/fighting-crime-with-keras", "kernel_id": "13707"}, {"ref": "mirmalis/test-1", "kernel_id": "38718"}, {"ref": "silent6stringer/crime-classification", "kernel_id": "43320"}, {"ref": "silent6stringer/notebook-69e377e642d11adfefb5", "kernel_id": "43321"}, {"ref": "silent6stringer/notebook-1e30537f0098ce4bcae0", "kernel_id": "43322"}, {"ref": "silent6stringer/notebook-b727431ffeba5bcea41e", "kernel_id": "43323"}, {"ref": "sudarsh/top-12-crime-map", "kernel_id": "17360"}, {"ref": "sudarsh/white-collar-vs-blue-collar-crime", "kernel_id": "17347"}, {"ref": "seanwang/notebook-d327110cb1d6f35e7a41", "kernel_id": "40672"}, {"ref": "kuangweizhang/sfcrimedataexplore", "kernel_id": "39367"}, {"ref": "flyunderrader/notebook-3478646a1c17f44dfe6c", "kernel_id": "37674"}, {"ref": "flyunderrader/notebook-b76e134120ce50f20a2c", "kernel_id": "39225"}, {"ref": "flyunderrader/neural-nets-and-address-featurization", "kernel_id": "50268"}, {"ref": "esmeetu/san-francisco-crime-classification", "kernel_id": "32799"}, {"ref": "cursaner/san-francisco-top-crimes-map", "kernel_id": "5543"}, {"ref": "venamax/notebook-cba7127eb98bb434dd8e", "kernel_id": "24795"}, {"ref": "venamax/notebook-9974b8a563df61286f3f", "kernel_id": "24796"}, {"ref": "venamax/notebook-8c1681e7d0b74effb71a", "kernel_id": "26433"}, {"ref": "czarnik/crime-hotspots-over-the-years", "kernel_id": "178702"}, {"ref": "czarnik/notebook-3fc1343156df8531e4a0", "kernel_id": "27698"}, {"ref": "czarnik/notebook-3474fca2ac5f16c045ec", "kernel_id": "33334"}, {"ref": "czarnik/plotting-classifcation", "kernel_id": "35231"}, {"ref": "mlbear39/sf-crime-vs-time-graphs", "kernel_id": "11966"}, {"ref": "coolisnotdead/notebook-21a93f793028c223057e", "kernel_id": "40031"}, {"ref": "canisminor/mining-incident-itemsets", "kernel_id": "11454"}, {"ref": "gaurbans/generic-caret-random-forest-algorithm", "kernel_id": "10058"}, {"ref": "gaurbans/lda-model-in-r", "kernel_id": "11296"}, {"ref": "cabana/notebook-bdb0331e2337d14da0ab", "kernel_id": "33652"}, {"ref": "yuichiiwanami/notebook-2aca91fda258c91916f9", "kernel_id": "31871"}, {"ref": "yuichiiwanami/logistic-regression-v1-2-fork-yi", "kernel_id": "33324"}, {"ref": "carolweav/notebook-8ab433ade53fdb51fafd", "kernel_id": "38757"}, {"ref": "zentch/notebook-8a3728710b8deb337405", "kernel_id": "37230"}, {"ref": "zentch/crimeclassification", "kernel_id": "37231"}, {"ref": "zentch/notebook-0bd91b8235c48988dbca", "kernel_id": "37232"}, {"ref": "zentch/notebook-30cbaf4002bf16bc5439", "kernel_id": "34805"}, {"ref": "ypargaien/c2-submission003-csv", "kernel_id": "200300"}, {"ref": "alexzhang/san-francisco-crime-classification", "kernel_id": "66734"}, {"ref": "ymcdull/notebook-e569702391fb6ca78553", "kernel_id": "67593"}, {"ref": "ymcdull/frank-sf-xgboost-python", "kernel_id": "67531"}, {"ref": "ymcdull/a-beginner-tries-naive-bayes", "kernel_id": "66546"}, {"ref": "ymcdull/frank-test2", "kernel_id": "66531"}, {"ref": "ymcdull/frank-second-test", "kernel_id": "65720"}, {"ref": "rajsekhar/notebook-31a71dd514ac75561443", "kernel_id": "33518"}, {"ref": "prashanth1990/notebook-bead9cda843f41cce3fa", "kernel_id": "20410"}, {"ref": "canran/sf-crime-class", "kernel_id": "54533"}, {"ref": "canran/sf-criminal-classification", "kernel_id": "54506"}, {"ref": "ferfervi/notebook-299a1e63089e82523f45", "kernel_id": "54270"}, {"ref": "akshatachandrashekar/notebook-f02af912f0d97aeadbd8", "kernel_id": "43085"}, {"ref": "jrbtaylor/notebook-45254d42ba410f99e4db", "kernel_id": "44301"}, {"ref": "g13wag/notebook-a6bf7d959e5eaeb55adf", "kernel_id": "28386"}, {"ref": "wawanco/k-nearest-neighbour", "kernel_id": "16395"}, {"ref": "zhas1ke/zhas1ke-sf-crime", "kernel_id": "37379"}, {"ref": "jpoberhauser/notebook-970d809a6666af42789d", "kernel_id": "22381"}, {"ref": "jpoberhauser/crime-density-by-location", "kernel_id": "127974"}, {"ref": "sionwang/sf-crime-01", "kernel_id": "19794"}, {"ref": "arcaite/notebook-07a29905f0906ab8187c", "kernel_id": "31280"}, {"ref": "mattiafiumara/crime-density-by-location", "kernel_id": "6138"}, {"ref": "maltinho/notebook-74593d9f2821aaa97fd4", "kernel_id": "24397"}, {"ref": "pashadow/notebook-69a02193e387cfb7d975", "kernel_id": "55142"}, {"ref": "jerrythomas/notebook-2ff2abe113dcec2bdcc4", "kernel_id": "68662"}, {"ref": "jerrythomas/xgboost-example", "kernel_id": "68664"}, {"ref": "superfuzzy/notebook-6964d23a5d859e44cbbf", "kernel_id": "28606"}, {"ref": "superfuzzy/random-forest", "kernel_id": "28604"}, {"ref": "kaekyeomkim/notebook-d9e73b824a344a3b2957", "kernel_id": "30365"}, {"ref": "ldocao/population-density-heat-map", "kernel_id": "6834"}, {"ref": "ldocao/average-crime-heat-map", "kernel_id": "6837"}, {"ref": "ldocao/exploratory-horizontal-bar-plots", "kernel_id": "6754"}, {"ref": "timabram/sf-districts-as-regions-in-r", "kernel_id": "5764"}, {"ref": "ayushedu/notebookda1af4e80d", "kernel_id": "86548"}, {"ref": "goldenstate/notebook-319d1839c8813bc72947", "kernel_id": "37174"}, {"ref": "keldibek/sf-crime-visualization", "kernel_id": "45089"}, {"ref": "keldibek/logistic-regression-for-crime-classifica", "kernel_id": "49311"}, {"ref": "keldibek/notebook-e0fcc3f175968b17053d", "kernel_id": "49317"}, {"ref": "keldibek/xgboost-crime-classification", "kernel_id": "68270"}, {"ref": "gardash/san-francisco-top-crimes-map", "kernel_id": "7403"}, {"ref": "smirshekari/san-francisco-top-crimes-map", "kernel_id": "5210"}, {"ref": "manojkr/notebook-14b6d205bec7690d8273", "kernel_id": "35274"}, {"ref": "sharingan/crime-density-by-location", "kernel_id": "14920"}, {"ref": "bikramdahal/test12345", "kernel_id": "46385"}, {"ref": "bikramdahal/san-francisco-crime-classification-r", "kernel_id": "45349"}, {"ref": "bikramdahal/notebook-1cffd1f08cde6e30f74e", "kernel_id": "45351"}, {"ref": "bikramdahal/neural-network-r", "kernel_id": "45365"}, {"ref": "krrish1729/sf-crime-data", "kernel_id": "220045"}, {"ref": "chaoranliu/rpart-method", "kernel_id": "5274"}, {"ref": "aeeilllmrx/a-history-of-crime", "kernel_id": "6667"}, {"ref": "kylehamilton/liblinear-score-2-5921", "kernel_id": "50573"}, {"ref": "kizley/notebook-77b382daf214cd59e5c0", "kernel_id": "48685"}, {"ref": "matthewshirley/prevalent-crimes-in-san-francisco", "kernel_id": "5696"}, {"ref": "ifness/prevalent-crimes-in-san-francisco", "kernel_id": "5451"}, {"ref": "sdlane/notebook-aea974b495d02030f270", "kernel_id": "30439"}, {"ref": "lbenwong/notebook-57dc22d2c7d961b66499", "kernel_id": "31838"}, {"ref": "imchandusg/sfcc-prediction", "kernel_id": "6069"}, {"ref": "simonhfl/testpy", "kernel_id": "17093"}, {"ref": "daniilmann/notebook-0606bdd080d91ee5c30b", "kernel_id": "23091"}, {"ref": "wishfulsaint/notebook-392f4b4cb8bcd1ec1b1e", "kernel_id": "35399"}, {"ref": "anshgandhi/notebook-ca113cd78274b189f3aa", "kernel_id": "70554"}, {"ref": "paulliu/eda-and-classification-score-2-56180", "kernel_id": "196568"}, {"ref": "adrianmann1963/drugs-and-prostitution-in-san-franscico", "kernel_id": "5681"}, {"ref": "trahflow/notebook-5b72bbded6d62efc7cca", "kernel_id": "30828"}, {"ref": "firedrake969/testf", "kernel_id": "37484"}, {"ref": "arnabkarmakar/notebook-54d70d6962d1b1d79cf2", "kernel_id": "35103"}, {"ref": "joeystam/notebook-6c974ec6f72ea977c86d", "kernel_id": "39456"}, {"ref": "joeystam/notebook-7c6ba9eb37ed47c0844b", "kernel_id": "39458"}, {"ref": "cs822hirazoha/odds-based-on-pddistrict-score-2-616", "kernel_id": "5222"}, {"ref": "jfreeberg/interactive-time-series", "kernel_id": "16954"}, {"ref": "jfreeberg/interactive-time-series-and-heat-map", "kernel_id": "13957"}, {"ref": "hyn1417/san-francisco-top-crimes-map", "kernel_id": "6251"}, {"ref": "skartick/notebook-79989e627d4aa5563354", "kernel_id": "37718"}, {"ref": "petercooman/map-of-sf-districts", "kernel_id": "5346"}, {"ref": "petercooman/histograms-of-crime-category-by-day", "kernel_id": "5151"}, {"ref": "petercooman/odds-based-on-pddistrict", "kernel_id": "5157"}, {"ref": "lisabug/firstscript", "kernel_id": "38646"}, {"ref": "normallysane/notebook-ad5c97f28bb9cabe0500", "kernel_id": "62938"}, {"ref": "amirhosseinr/notebook-e2d5988d89b29a6e8ebd", "kernel_id": "40666"}, {"ref": "amirhosseinr/map-suicide-by-occurrence-density", "kernel_id": "40660"}, {"ref": "amirhosseinr/notebook-2f2aa7ca80b949715404", "kernel_id": "40664"}, {"ref": "severo/notebook-fe0e450cbc7d43b76a8a", "kernel_id": "38598"}, {"ref": "severo/notebook-1fe8922a8ef5d78e1a7b", "kernel_id": "38599"}, {"ref": "severo/notebook-04c28c0b791e6caa8552", "kernel_id": "38600"}, {"ref": "severo/testds", "kernel_id": "38601"}, {"ref": "severo/notebook-c5e878a629e87ad5ca61", "kernel_id": "38743"}, {"ref": "severo/using-pandas-and-basemap", "kernel_id": "38744"}, {"ref": "severo/notebook-1fcf6e6e4b3adf68f77b", "kernel_id": "39085"}, {"ref": "zhenxu1/notebook-92750a1eb0feebe3ca22", "kernel_id": "40011"}, {"ref": "aiswaryaramachandran/notebook-843acde90b62b943261b", "kernel_id": "31107"}, {"ref": "aiswaryaramachandran/notebook-b9a2ffe240415e4c73ed", "kernel_id": "39623"}, {"ref": "inshique/sf-crime", "kernel_id": "43835"}, {"ref": "arunatebel/crime-distribution-by-week-days", "kernel_id": "6293"}, {"ref": "burakhmmtgl/feature-engineering-with-tidyverse", "kernel_id": "230493"}, {"ref": "oliversherouse/notebook-47990a09c1a205869b17", "kernel_id": "44026"}, {"ref": "oliversherouse/notebook-07d738b753129455b7a2", "kernel_id": "44012"}, {"ref": "oliversherouse/notebook-159f065ba211c5e275c3", "kernel_id": "44015"}, {"ref": "oliversherouse/notebook-87a5ac6a9ced848d321f", "kernel_id": "44016"}, {"ref": "willhappn/notebook-b93017c35ab43bb0eb40", "kernel_id": "40258"}, {"ref": "yogeshbendre/myscript-1", "kernel_id": "65845"}, {"ref": "lechacal/notebook-e9f12c08cac15b20ce8d", "kernel_id": "54147"}, {"ref": "ampaho/crime-rate-vs-unresolved-cases", "kernel_id": "7068"}, {"ref": "ampaho/most-crimes-in-sf-are-against-properties", "kernel_id": "7110"}, {"ref": "ampaho/white-collar-vs-blue-collar-crime-in-sf", "kernel_id": "7206"}, {"ref": "albinocordeiro/top-crimes-zones", "kernel_id": "8673"}, {"ref": "vijendrarana/notebook-cbc19c173ba9518d293a", "kernel_id": "31703"}, {"ref": "vijendrarana/notebook-8a7d88775d23bd3a9977", "kernel_id": "32382"}, {"ref": "vijendrarana/notebook-6c7ea0c44b9155f8f49e", "kernel_id": "24149"}, {"ref": "abudniy/notebook-22d274d2367b6ba130a3", "kernel_id": "68582"}, {"ref": "darshitd/knnclassifier", "kernel_id": "60280"}, {"ref": "darshitd/firsttry", "kernel_id": "49118"}, {"ref": "ginjoints/logistic-regression-v1-2", "kernel_id": "20776"}, {"ref": "tengisok/a-history-of-crime", "kernel_id": "22857"}, {"ref": "romekflop/white-collar-vs-blue-collar-crime-in-sf", "kernel_id": "7584"}, {"ref": "sskapci/notebook-c72b8b7c5efc33167413", "kernel_id": "28058"}, {"ref": "sskapci/notebook-0d1b2733ba8a14424906", "kernel_id": "27697"}, {"ref": "sskapci/notebook-88c82e10e71df321fca1", "kernel_id": "43373"}, {"ref": "gaomrx/notebooka800983543", "kernel_id": "174112"}, {"ref": "ntw5292/notebook-d7097ea41f92f86eaae5", "kernel_id": "64140"}, {"ref": "nathanelbaz/function-to-map-any-crime", "kernel_id": "10408"}, {"ref": "abhishekpratap4/crime-density-by-location", "kernel_id": "5942"}, {"ref": "fredericenard/notebook-b19391532caa6b2fac0b", "kernel_id": "45634"}, {"ref": "muditbachhawat/map-vis", "kernel_id": "6982"}, {"ref": "muditbachhawat/decision-tree", "kernel_id": "6932"}, {"ref": "dculver/notebook-323f3a7a8b09df3135fa", "kernel_id": "32279"}, {"ref": "dculver/notebook-d82478656c4f771b1e36", "kernel_id": "32280"}, {"ref": "grazim/notebook-4b7b3aa921689d7b8cb4", "kernel_id": "39946"}, {"ref": "exotol/notebook-aa4fadc14de81ba5eec8", "kernel_id": "36542"}, {"ref": "mpschramm/spatial-data-exploration", "kernel_id": "14783"}, {"ref": "kendygrate/testing", "kernel_id": "10078"}, {"ref": "markliou/notebook-23ab7ca32688af5d769e", "kernel_id": "37302"}, {"ref": "sk2662941/notebook-d5aab7a620b84c56535e", "kernel_id": "31009"}, {"ref": "jiangh52/multiplot-top-12-crimes-occurences", "kernel_id": "32763"}, {"ref": "jiangh52/sampled-sf-crime-density-wi-pddistrict", "kernel_id": "37258"}, {"ref": "jiangh52/sf-crime-density", "kernel_id": "37240"}, {"ref": "jiangh52/notebook-0ad990ca32eeabbab3eb", "kernel_id": "48393"}, {"ref": "kaggledmimi/sf-crime", "kernel_id": "58241"}, {"ref": "mail2sarathi/prostitution-in-san-francisco-bar-plot", "kernel_id": "14993"}, {"ref": "januz123/mytest123", "kernel_id": "10936"}, {"ref": "javierfinez/notebook-2ed28d635cf3ade0527c", "kernel_id": "31978"}, {"ref": "judejin/notebook-e525e91796ab9ee5363e", "kernel_id": "26961"}, {"ref": "keyshin/a-tiny-exploration", "kernel_id": "68603"}, {"ref": "dsrkie/decisiontreeinr", "kernel_id": "9995"}, {"ref": "dsrkie/decision-tree", "kernel_id": "9857"}, {"ref": "yurisousa/notebook-db5d67801e44866f375a", "kernel_id": "26909"}, {"ref": "yurisousa/playing-with-fuzzy", "kernel_id": "28146"}, {"ref": "zhengchao/notebook-00ff216218728365ad72", "kernel_id": "24503"}, {"ref": "zhengchao/notebook-f0219d2ceecc1a9dc493", "kernel_id": "20673"}, {"ref": "aakashparwani/white-collar-vs-blue-collar-crime-in-sf", "kernel_id": "10811"}, {"ref": "pillbaxton/draftscript", "kernel_id": "7271"}, {"ref": "rhoslug/sf-crime-with-scikit-learn", "kernel_id": "7596"}, {"ref": "rhoslug/sf-crime-prediction-with-scikit-learn", "kernel_id": "7597"}, {"ref": "nikolayburlutskiy/xgboost-sf-crime", "kernel_id": "67840"}, {"ref": "bokess/notebookbfaa217845", "kernel_id": "169039"}, {"ref": "jenny333/notebook-dd6d6f6c2ae064eece4d", "kernel_id": "37683"}, {"ref": "jenny333/notebook-0c6988ceb295d4a71e36", "kernel_id": "37829"}, {"ref": "jenny333/notebook-111f7e7442ec45b2089d", "kernel_id": "37819"}, {"ref": "lllinger/crimedistribution-temporal-spatial", "kernel_id": "10476"}, {"ref": "ndrose/sf-crime-interactive-gis", "kernel_id": "188761"}, {"ref": "captcalculator/crime-by-type-and-hour-of-day", "kernel_id": "14322"}, {"ref": "captcalculator/function-to-map-any-crime", "kernel_id": "10113"}, {"ref": "ferozk/script-to-map-crime-density-in-area", "kernel_id": "17148"}, {"ref": "ferozk/crime-rate-falling-near-month-end", "kernel_id": "16018"}, {"ref": "violinbeats/notebook-99f8e1d53c399ba4305b", "kernel_id": "62970"}, {"ref": "violinbeats/notebook-0c35a9e5fb231d81bbb3", "kernel_id": "62983"}, {"ref": "raveendra/notebook-a28d69f9b6c2d59141db", "kernel_id": "68176"}, {"ref": "scenicverve/san-francisco-top-crimes-map", "kernel_id": "8642"}, {"ref": "erannoux/sfcrime-test", "kernel_id": "14562"}, {"ref": "vishallakha/initial-benchmark-need-tuning", "kernel_id": "68624"}, {"ref": "bhavijagwani/prevalence-of-crimes", "kernel_id": "19021"}, {"ref": "asjedh/azi-rushil-zach", "kernel_id": "95392"}, {"ref": "asjedh/fork-of-notebook3974bfd24a", "kernel_id": "95393"}, {"ref": "nminhptnk/iceberg", "kernel_id": "35336"}, {"ref": "nminhptnk/notebook-7a1d47752c512a694087", "kernel_id": "35342"}, {"ref": "merlin101/classification-script-v1", "kernel_id": "66221"}, {"ref": "merlin101/classification-script", "kernel_id": "64884"}, {"ref": "haoranyi/testcode", "kernel_id": "10560"}, {"ref": "uchayder/notebook-207f33ff30c98af780b1", "kernel_id": "35717"}, {"ref": "uchayder/notebook-035f19e36bb2becf175d", "kernel_id": "35737"}, {"ref": "uchayder/notebook-fae0fb85986eec2fcea9", "kernel_id": "35722"}, {"ref": "uchayder/notebook-3e5b0daa659e8afc5f25", "kernel_id": "35724"}, {"ref": "uchayder/notebook-8488509d82b58ee8ed1d", "kernel_id": "35725"}, {"ref": "uchayder/notebook-38a2092ef002f152d609", "kernel_id": "35727"}, {"ref": "uchayder/notebook-45c5b59fab091498f466", "kernel_id": "35728"}, {"ref": "tolsen32/notebook-9e3912a490dbb9ce567d", "kernel_id": "22486"}, {"ref": "tolsen32/neural-nets-and-address-featurization2", "kernel_id": "22483"}, {"ref": "tolsen32/neural-nets-and-address-featurization", "kernel_id": "22336"}, {"ref": "askaran/notebook-e5eb7b7ca4920d7ea482", "kernel_id": "24541"}, {"ref": "rupchap/notebook-4cfd49a2b9bdb7a81058", "kernel_id": "36654"}, {"ref": "magludi22/san-francisco-crime-classification", "kernel_id": "33292"}, {"ref": "fikre1/newbiescript-san-fran-crime", "kernel_id": "47258"}, {"ref": "longpei/kaggle-test-r", "kernel_id": "11896"}, {"ref": "longpei/san-francisco-top-crimes-map", "kernel_id": "12465"}, {"ref": "fspaolo/notebook-09a5f11140dd938b4b4d", "kernel_id": "25187"}, {"ref": "woodworker/notebook-01e1030ea3f5fad3036d", "kernel_id": "36483"}, {"ref": "kennyxu/sf-crimes-classification-analysis-plot", "kernel_id": "22880"}, {"ref": "kennyxu/test3", "kernel_id": "22813"}, {"ref": "kennyxu/test4", "kernel_id": "22836"}, {"ref": "kennyxu/test1", "kernel_id": "22372"}, {"ref": "kennyxu/test2", "kernel_id": "22373"}, {"ref": "einarbui/notebook-fecc9f4d6f84d54f5100", "kernel_id": "31219"}, {"ref": "sanjid25/quite-a-few-options", "kernel_id": "22889"}, {"ref": "yashpatel5400/test123", "kernel_id": "14694"}, {"ref": "ps2811/notebook-0b537e3dfb750b2f24e7", "kernel_id": "41525"}, {"ref": "binback/notebook-daadfb4f885c3cac07f7", "kernel_id": "41555"}, {"ref": "binback/notebook-a54764e914d2e8912ebe", "kernel_id": "66927"}, {"ref": "binback/knn-crime-prediction", "kernel_id": "66928"}, {"ref": "jertel/logistic-regression-v1-2", "kernel_id": "15283"}, {"ref": "fsyed1/first", "kernel_id": "34798"}, {"ref": "fsyed1/testing-script", "kernel_id": "45408"}, {"ref": "plutolove/notebook-ab5917a16278956d4d8c", "kernel_id": "34981"}, {"ref": "waiyanminkyaing/xgboost-crime-classification-d50e0e2f", "kernel_id": "106153"}, {"ref": "waiyanminkyaing/sf-crime-visualization", "kernel_id": "109773"}, {"ref": "waiyanminkyaing/geo-comparision-for-different-crimes", "kernel_id": "109818"}, {"ref": "fhlgood/san-franciscan-robbery-visualization", "kernel_id": "47749"}, {"ref": "fhlgood/suicide-in-san-francisco", "kernel_id": "47074"}, {"ref": "alekstomath/notebook-b840bdf73e5eca9f30d0", "kernel_id": "40555"}, {"ref": "vaishnavi95/notebook-188555e960d9b4669953", "kernel_id": "82238"}, {"ref": "deadkingq/notebook-dadeab08307cd1f92031", "kernel_id": "67717"}, {"ref": "apapiu/everybody-s-working-for-the-weekend", "kernel_id": "40490"}, {"ref": "apapiu/function-for-interactive-map", "kernel_id": "40240"}, {"ref": "marceloamancio/notebook-c6d6d1ea1b5258d25ff3", "kernel_id": "21559"}, {"ref": "gau2112/notebook-5a817f80e538075baefb", "kernel_id": "40720"}, {"ref": "gau2112/graph-of-all-crimes", "kernel_id": "40721"}, {"ref": "gau2112/kaggle-crime", "kernel_id": "40647"}, {"ref": "gau2112/kaggle-theft-script", "kernel_id": "40648"}, {"ref": "gau2112/notebook-a5949d384c154b095f11", "kernel_id": "40540"}, {"ref": "leezus/asdff", "kernel_id": "21781"}, {"ref": "jasmineren/san-francisco-top-crimes-map", "kernel_id": "48889"}, {"ref": "gowtham11/prevalent-crimes-in-san-francisco", "kernel_id": "18978"}, {"ref": "berglindb11/notebook-2bf33f92adc40c9129bc", "kernel_id": "22569"}, {"ref": "priyaragavi/notebook-759e8abd7789390563fc", "kernel_id": "39831"}, {"ref": "km2411/first-script-to-view-map", "kernel_id": "68696"}, {"ref": "mattmrwills/sf-crime-classification", "kernel_id": "14625"}, {"ref": "anthonyalves/testing-map", "kernel_id": "46781"}, {"ref": "kousukekikuchi/notebook-b60d66644f1863726985", "kernel_id": "38473"}, {"ref": "akasyanama13/sf-map", "kernel_id": "16006"}, {"ref": "akasyanama13/prediction", "kernel_id": "16156"}, {"ref": "ryankopa/san-francisco", "kernel_id": "179211"}, {"ref": "ryankopa/san-francisco-top-crimes-map", "kernel_id": "175390"}, {"ref": "ryankopa/crime-dencity-using-heat-map", "kernel_id": "175241"}, {"ref": "mshankarrao/notebook-1397a6853288f3273d31", "kernel_id": "25233"}, {"ref": "kevinmcisaac/notebook-28cb34b72d9a642fd46c", "kernel_id": "27283"}, {"ref": "kevinmcisaac/notebook-add6e929fef06a023749", "kernel_id": "27266"}, {"ref": "shlomosmr/crime-density-by-location", "kernel_id": "76193"}, {"ref": "shlomosmr/geo-comparision-for-different-crimes", "kernel_id": "76195"}, {"ref": "singlebinary/notebook-19a81d2589f60961b81b", "kernel_id": "21818"}, {"ref": "matze192003/notebook81a3c4b940", "kernel_id": "139054"}, {"ref": "pstock/class-counts", "kernel_id": "25405"}, {"ref": "qichaotang97/notebook-f4dc3ace38c85bcd95be", "kernel_id": "29702"}, {"ref": "relegaurav/notebook-6fb7bdf02b9918daa5f2", "kernel_id": "20519"}, {"ref": "relegaurav/classfication", "kernel_id": "20627"}, {"ref": "pavan9095/notebook3d036d9ac1", "kernel_id": "214759"}, {"ref": "christy2013/notebook-6b999e524d853b0e6694", "kernel_id": "27367"}, {"ref": "claire69/crimes-in-sf-by-time-of-day", "kernel_id": "29933"}, {"ref": "claire69/drug-incidents-reported-from-sfpd", "kernel_id": "30603"}, {"ref": "luventu/title", "kernel_id": "64889"}, {"ref": "luventu/notebook-4a878656506002530c65", "kernel_id": "21273"}, {"ref": "pranay360/notebook-2a71c9567ea971e3bde7", "kernel_id": "38649"}, {"ref": "pranay360/notebook-f54a5722f849889c3e68", "kernel_id": "38650"}, {"ref": "invertedmatrix/testscript", "kernel_id": "17961"}, {"ref": "lunadog/notebook-e9780e7ca8b0616efb3b", "kernel_id": "22239"}, {"ref": "shaulab/notebook-1b4c81b276214f68e793", "kernel_id": "64861"}, {"ref": "anake1/notebook-951190744c6c91b2a2a1", "kernel_id": "47464"}, {"ref": "xthunder94/notebook-d9010f400b22b00e2da9", "kernel_id": "26421"}, {"ref": "hiubnnnet/sf-test", "kernel_id": "40587"}, {"ref": "xiaoyif/notebook-f5e44b1fc822f87dc7f8", "kernel_id": "53966"}, {"ref": "datadiggerls/sf-crima", "kernel_id": "65517"}, {"ref": "taylerwithane/cluster-of-crimes-near-hall-of-justice", "kernel_id": "17250"}, {"ref": "cvorasucha/notebook-547fbc2249644f8757fc", "kernel_id": "23382"}, {"ref": "jicarh/trends-in-crime-by-category", "kernel_id": "27361"}, {"ref": "tyz910/yet-another-map", "kernel_id": "42889"}, {"ref": "adrienb/myfirsttry", "kernel_id": "20318"}, {"ref": "kangshifu/notebook-277ab20f5cf0d471281b", "kernel_id": "55704"}, {"ref": "dimmddr/notebook-0d42a19fa7930037f67f", "kernel_id": "38026"}, {"ref": "dimmddr/notebook-81db87a35d5753bdc5e9", "kernel_id": "37881"}, {"ref": "dimmddr/notebook-d25cb2ea001f2e261337", "kernel_id": "37877"}, {"ref": "wenyu125/run-the-file", "kernel_id": "39613"}, {"ref": "changhuapeng/notebook-b5ae050505f030417fd4", "kernel_id": "23516"}, {"ref": "changhuapeng/notebook-e7649e404d91ff461245", "kernel_id": "23517"}, {"ref": "changhuapeng/notebook-9b4d66b4f11e27c11836", "kernel_id": "23518"}, {"ref": "changhuapeng/notebook-16adbd35896dcd9bf403", "kernel_id": "23519"}, {"ref": "changhuapeng/notebook-bd29b1502bc22fd207a3", "kernel_id": "23354"}, {"ref": "john8324/testtttt", "kernel_id": "26897"}, {"ref": "fusiox/san-francisco-top-crimes-map", "kernel_id": "19154"}, {"ref": "hamsalekha/rpart-method", "kernel_id": "24234"}, {"ref": "gaurav0712/notebook-6343315a42215be1b603", "kernel_id": "53364"}, {"ref": "alextokarew/notebook-e96e10c51815e76b21d2", "kernel_id": "35768"}, {"ref": "alextokarew/notebook-5e2312f333197b4a9e2a", "kernel_id": "37047"}, {"ref": "alextokarew/testt", "kernel_id": "37741"}, {"ref": "carlosavellaneda8/test-random-forest", "kernel_id": "141554"}, {"ref": "yasser1425/notebook-671ef012fa82b1c507d0", "kernel_id": "28620"}, {"ref": "gnuuser/notebook-c2a82218fd4189c8c728", "kernel_id": "27538"}, {"ref": "sunnysarin/notebook-5f19ca0d8ccd2d4bdd74", "kernel_id": "25442"}, {"ref": "petrbolotin/notebook-8f82fdfc3e23acb49ef7", "kernel_id": "33965"}, {"ref": "damienhen/san-francisco-map", "kernel_id": "37304"}, {"ref": "damienhen/maps-san-francisco", "kernel_id": "43876"}, {"ref": "codingfun/notebook-929acd2bbd3cae92af38", "kernel_id": "57738"}, {"ref": "codingfun/san-crime-version-1-2", "kernel_id": "57739"}, {"ref": "ekkus93/sample-sf-map-using-leaflet-for-r", "kernel_id": "25865"}, {"ref": "ekkus93/notebook-1bcf4c808bb14c5ad46a", "kernel_id": "25866"}, {"ref": "ekkus93/notebook-722c199bd162bc0d5db9", "kernel_id": "25783"}, {"ref": "ekkus93/notebook-c124d146bc70d74ea831", "kernel_id": "25785"}, {"ref": "rowlandrzhang/predict-crime-is-a-multilabel-task", "kernel_id": "100162"}, {"ref": "tommyttf/learn-from-try", "kernel_id": "44560"}, {"ref": "hyungcheolmin/notebook-6d9aa1bb2e0603fe8e8c", "kernel_id": "37022"}, {"ref": "andyyoo/notebook-ece1ad7909aa01bbc110", "kernel_id": "52202"}, {"ref": "mehrran/notebook-4412ff59f54ca4cee2c2", "kernel_id": "29121"}, {"ref": "daryl7/notebook-504df5199d7001c9865b", "kernel_id": "26216"}, {"ref": "daryl7/notebook-70bd4424b3f7d75f293a", "kernel_id": "26217"}, {"ref": "daryl7/notebook-5d741dd296366a9744c2", "kernel_id": "26214"}, {"ref": "daryl7/notebook-e4a396678d813cb692c6", "kernel_id": "25392"}, {"ref": "dineshrao/random-forest2", "kernel_id": "19146"}, {"ref": "ghigi123/notebook-cdfc56bef64f4ae6aa71", "kernel_id": "21275"}, {"ref": "ghigi123/notebook-778d996a1d22373a0a21", "kernel_id": "21278"}, {"ref": "lucmioulet/notebook-ac12a15d888102fa0e40", "kernel_id": "43358"}, {"ref": "lucmioulet/notebook-0f1011c530d387ebc7b5", "kernel_id": "43173"}, {"ref": "netmist/notebook-94cbff62b2ecdbd8ecca", "kernel_id": "30304"}, {"ref": "thibaut95k/plot-knn-errors", "kernel_id": "29685"}, {"ref": "thibaut95k/notebook-73858d6eb88483fa6cc0", "kernel_id": "29694"}, {"ref": "thibaut95k/notebook-c6d55f30eca01bb54cad", "kernel_id": "29703"}, {"ref": "thibaut95k/notebook-3d0a062ceefa928758fc", "kernel_id": "29690"}, {"ref": "thibaut95k/notebook-15ec927e689b81b4f74f", "kernel_id": "29701"}, {"ref": "thibaut95k/notebook-798eda1e3ba783bbae6c", "kernel_id": "29696"}, {"ref": "thibaut95k/plot-larceny-theft-in-function-hour", "kernel_id": "29596"}, {"ref": "thibaut95k/knn-test", "kernel_id": "29599"}, {"ref": "thibaut95k/crime-density-by-location", "kernel_id": "29591"}, {"ref": "thibaut95k/notebook-ec8056bebebdada81663", "kernel_id": "29605"}, {"ref": "thibaut95k/notebook-2a930f01f1ffaea6cea1", "kernel_id": "29606"}, {"ref": "thibaut95k/notebook-2ae109e4e475ce0dc70c", "kernel_id": "29873"}, {"ref": "rabota/notebook-1d1a9ff9f03479a0868d", "kernel_id": "20357"}, {"ref": "varma85/notebook-d6abc8b354ea9e614068", "kernel_id": "25258"}, {"ref": "icedragon/openstreetmap-package-in-r", "kernel_id": "63387"}, {"ref": "kwiicsyy/scf-script", "kernel_id": "34207"}, {"ref": "wouterj/notebook-9c94a8593f17aea82282", "kernel_id": "34764"}, {"ref": "darreng/notebook-bdb479bccc0b9ab80d33", "kernel_id": "31577"}, {"ref": "phl1510/notebook-b52c9c2a676e627c597b", "kernel_id": "20661"}, {"ref": "qpit2u/notebook-5d3d9fee1f6bd1d1af2c", "kernel_id": "27495"}, {"ref": "redsoap/notebook-0acc1111b800571ccda8", "kernel_id": "24830"}, {"ref": "smnkmr/notebook-87e532dd9ae606a786fb", "kernel_id": "53511"}, {"ref": "smnkmr/notebook-44ae4585ca344925ad23", "kernel_id": "53512"}, {"ref": "yuanmeng/prostitution-in-san-francisco", "kernel_id": "20964"}, {"ref": "yuanmeng/san-francisco-top-crimes-map", "kernel_id": "20958"}, {"ref": "yuanmeng/san-francisco-top-crimes", "kernel_id": "21182"}, {"ref": "yuanmeng/san-francisco-top", "kernel_id": "21775"}, {"ref": "rsopher/sf-crime", "kernel_id": "21185"}, {"ref": "meatloaf1/notebooka86794bc48", "kernel_id": "211869"}, {"ref": "mjdawson/notebook-a3f6ea1ee74ebe11e31e", "kernel_id": "20414"}, {"ref": "shivong27/function-to-map-any-crime", "kernel_id": "243754"}, {"ref": "shivong27/multiple-crime-classification", "kernel_id": "79469"}, {"ref": "shivong27/notebook-615c5483a125ccbd6139", "kernel_id": "79470"}, {"ref": "stunner1608/notebook-228d5104fb7b474d3653", "kernel_id": "75234"}, {"ref": "stunner1608/san-francisco-crime-classification", "kernel_id": "75229"}, {"ref": "stunner1608/notebook-619ffacd6f05e5faaa61", "kernel_id": "75230"}, {"ref": "stunner1608/notebook-8cee2707a5c2a63895f1", "kernel_id": "75231"}, {"ref": "stunner1608/notebook-0a936c23abc88c446b82", "kernel_id": "75243"}, {"ref": "mvmlima/san-francisco-with-ggvis", "kernel_id": "26250"}, {"ref": "niranjanbarve/notebook-251927b12a0a2ba01e95", "kernel_id": "51958"}, {"ref": "irenezmy/san-francisco-top-crimes-map", "kernel_id": "22004"}, {"ref": "deepag/san-francisco-top-crimes-map", "kernel_id": "30753"}, {"ref": "mohan2/notebook-bd39e99d9da432ae0318", "kernel_id": "66462"}, {"ref": "weizh888/sf-crime", "kernel_id": "141840"}, {"ref": "lnddzy/vehicle-thefts-or-jerry-rice-jubilation", "kernel_id": "21821"}, {"ref": "zerozeal008/notebook-68829af3f3db52d34bff", "kernel_id": "25556"}, {"ref": "trantan/notebook-41c66e57640b947dd76e", "kernel_id": "23531"}, {"ref": "kyohei15/notebook-fe8ab44402be87dcda86", "kernel_id": "47883"}, {"ref": "tjoseph/notebook-a2162804a5d859c59b5f", "kernel_id": "41211"}, {"ref": "bcsaldias/notebook-c1a5f453b052017c4f33", "kernel_id": "25298"}, {"ref": "bcsaldias/notebook-9bef13e398c4e0de5c4b", "kernel_id": "25161"}, {"ref": "soyoungkim/notebookdde0f17173", "kernel_id": "170855"}, {"ref": "marcellonegro/initial-benchmark-need-tuning", "kernel_id": "61215"}, {"ref": "liujunlovecs/notebook-f51e30d090524020a71a", "kernel_id": "40655"}, {"ref": "liujunlovecs/notebook-50d2036f92932852f47c", "kernel_id": "40264"}, {"ref": "liujunlovecs/notebook-345ed995080cee383bf5", "kernel_id": "40232"}, {"ref": "mattare2/in-python", "kernel_id": "55312"}, {"ref": "sangzshruti/notebook-e56ddc9f35590c7e1a1e", "kernel_id": "30793"}, {"ref": "yameng/notebook-f0efad0bf2c528d9e7e5", "kernel_id": "23553"}, {"ref": "ssai73/notebook-3ca41a90eca45154d690", "kernel_id": "65249"}, {"ref": "facadev/h2o-sketchbook", "kernel_id": "25529"}, {"ref": "facadev/notebook-6eeb8ae59bf61d7e3e90", "kernel_id": "25530"}, {"ref": "facadev/notebook-995945f8e98efedf3243", "kernel_id": "25123"}, {"ref": "facadev/tensor", "kernel_id": "25124"}, {"ref": "facadev/notebook-26af57472356821baae4", "kernel_id": "25119"}, {"ref": "iniykfrost/temp-test", "kernel_id": "62028"}, {"ref": "kevinhan0/notebook-cff4ebc68474c9d57a86", "kernel_id": "30509"}, {"ref": "gizimodo/notebook-55f23f43b6bf38b0374f", "kernel_id": "58236"}, {"ref": "omarelgabry/notebook-52a8ea3a5ef76e0c660d", "kernel_id": "24761"}, {"ref": "omarelgabry/san-francisco-crimes-1", "kernel_id": "24744"}, {"ref": "omarelgabry/san-francisco-crimes", "kernel_id": "24661"}, {"ref": "omarelgabry/notebook-2338012c33c0b1989a6a", "kernel_id": "25879"}, {"ref": "omarelgabry/notebook-e0fb5ad868f884a5796f", "kernel_id": "25883"}, {"ref": "csdata/notebook-d892b2cba700fae15b33", "kernel_id": "38150"}, {"ref": "csdata/notebook-81e12415170777cc01ad", "kernel_id": "38151"}, {"ref": "shrirangphadke/crime-dencity-using-heat-map", "kernel_id": "77694"}, {"ref": "jakarara/tests", "kernel_id": "22440"}, {"ref": "reneboy/san-francisco-crime-map-1", "kernel_id": "42796"}, {"ref": "reneboy/san-francisco-crime-map", "kernel_id": "42786"}, {"ref": "ammara/notebook-14932e0ea189c9cb70f7", "kernel_id": "32726"}, {"ref": "garunraj/notebook-d3b97929cef4000132bd", "kernel_id": "34505"}, {"ref": "garunraj/vehicle-theft-drop", "kernel_id": "34800"}, {"ref": "garunraj/suicide-in-san-francisco", "kernel_id": "37569"}, {"ref": "garunraj/san-francisco-tree-map", "kernel_id": "37570"}, {"ref": "garunraj/notebook-b92dded59c70f86373a9", "kernel_id": "37571"}, {"ref": "garunraj/notebook-d0b454fa1e523aebf019", "kernel_id": "35861"}, {"ref": "garunraj/san-francisco-top-crimes-map", "kernel_id": "23032"}, {"ref": "garunraj/san-francisco", "kernel_id": "44286"}, {"ref": "garunraj/notebook-61402a2ed91f9f8754ac", "kernel_id": "61272"}, {"ref": "garunraj/notebook-9b8e25e81bdf967ff78f", "kernel_id": "61282"}, {"ref": "garunraj/notebook-f036150fb47699825801", "kernel_id": "61284"}, {"ref": "garunraj/abcder", "kernel_id": "61242"}, {"ref": "garunraj/sf-crime", "kernel_id": "61018"}, {"ref": "garunraj/graph-of-all-crimes-in-san-francisco", "kernel_id": "60504"}, {"ref": "garunraj/occurence-of-prostitution-in-sf", "kernel_id": "60526"}, {"ref": "garunraj/vehicle-thefts-drops-off", "kernel_id": "60530"}, {"ref": "garunraj/theft-analysis", "kernel_id": "60510"}, {"ref": "garunraj/crime-rates-vs-unresolved-cases", "kernel_id": "60528"}, {"ref": "garunraj/san-francisco-crime-map-1", "kernel_id": "60512"}, {"ref": "garunraj/quick-map-of-different-districts", "kernel_id": "60567"}, {"ref": "germanconcilio/fighting-crime-with-keras", "kernel_id": "22991"}, {"ref": "technoapurva/notebook-510e8f4649926409133e", "kernel_id": "63539"}, {"ref": "yamyamyuo/san-francisco-crime-classification", "kernel_id": "34323"}, {"ref": "val64f/notebook-a235d15cd6faa38df968", "kernel_id": "60595"}, {"ref": "kalifou/crimes", "kernel_id": "24824"}, {"ref": "rddunlap/notebooke4c368adae", "kernel_id": "89163"}, {"ref": "rddunlap/notebook836721c611", "kernel_id": "89164"}, {"ref": "johnnyjie/test1", "kernel_id": "27741"}, {"ref": "quanbt/notebook-075d9d07cac4b6a7b4a1", "kernel_id": "23096"}, {"ref": "quanbt/notebook-19450a978a04b8e8d7d2", "kernel_id": "23062"}, {"ref": "quanbt/notebook-fe65f9907a189c9060d7", "kernel_id": "23101"}, {"ref": "quanbt/notebook-1489446025472e6c383c", "kernel_id": "23105"}, {"ref": "quanbt/notebook-0092d439475f17cccf54", "kernel_id": "23011"}, {"ref": "quanbt/q4112015", "kernel_id": "23012"}, {"ref": "quanbt/quantest", "kernel_id": "22986"}, {"ref": "quanbt/notebook-db7f490989b02edb16c9", "kernel_id": "22973"}, {"ref": "quanbt/notebook-0233bf8219cbfee39b38", "kernel_id": "22970"}, {"ref": "quanbt/notebook-eb22c4c55030e9b7aa13", "kernel_id": "22977"}, {"ref": "quanbt/notebook-7d74e1d2be4d074cfff2", "kernel_id": "22979"}, {"ref": "quanbt/notebook-e0479ca3a3819a941d82", "kernel_id": "22959"}, {"ref": "quanbt/notebook-433df6f51b0bdae8090b", "kernel_id": "22967"}, {"ref": "quanbt/notebook-b4746c5ac0a5a4379516", "kernel_id": "22955"}, {"ref": "quanbt/notebook-cc597f16112bceebc5e7", "kernel_id": "22956"}, {"ref": "quanbt/rfmaxdepth", "kernel_id": "23251"}, {"ref": "sergeykoshelev/notebook-7016cc09bb7fcf3576c4", "kernel_id": "22987"}, {"ref": "studiocardo/notebook-9a212b6359391cc1ba0d", "kernel_id": "31425"}, {"ref": "bbaksnak/notebook-4f4f3e7cf485c7605fb3", "kernel_id": "26656"}, {"ref": "jasonm/notebook-dc54b555cab8bec67c1a", "kernel_id": "27021"}, {"ref": "fgordon/tis-the-season-for-mayhem", "kernel_id": "26956"}, {"ref": "fgordon/notebook-b6d08c3730b980e13c07", "kernel_id": "28299"}, {"ref": "mariloca/notebook-7610ed40805354cf3f8e", "kernel_id": "24332"}, {"ref": "brandao/c2-submission001-csv", "kernel_id": "65860"}, {"ref": "brandao/c2-submission003-csv", "kernel_id": "65888"}, {"ref": "brandao/c2-submission002-csv", "kernel_id": "65883"}, {"ref": "michelegentili/last1", "kernel_id": "56365"}, {"ref": "snowcrash/notebook-1778f77c03ad8a8a8820", "kernel_id": "35359"}, {"ref": "snowcrash/notebook-64b5e8586950d8b0d6c3", "kernel_id": "35360"}, {"ref": "snowcrash/san-francisco-crime-classification", "kernel_id": "34309"}, {"ref": "angeloziletti/notebook-4e6988cd9ed599b5aa99", "kernel_id": "36498"}, {"ref": "tiefan/notebook-1ad8788c080114ef374a", "kernel_id": "33242"}, {"ref": "tiefan/notebook-9b31c136e3b20ad84642", "kernel_id": "29846"}, {"ref": "tiefan/notebook-f7e2e02b41d28f56ad3d", "kernel_id": "30479"}, {"ref": "tiefan/notebook-d42cf07550a9ff2dfa19", "kernel_id": "30480"}, {"ref": "rybkink/notebook-49349b4eaa4a9ec7bf44", "kernel_id": "49760"}, {"ref": "innocentroseli/binary-classifier-with-conditional-trees", "kernel_id": "44685"}, {"ref": "wy101409/notebook-078aadade1cc93229b8c", "kernel_id": "23975"}, {"ref": "jylljy/notebook-47a4cb82d35f7e22c5b1", "kernel_id": "26311"}, {"ref": "mantis1/notebook-cd71541762ad7f9dbbbb", "kernel_id": "30420"}, {"ref": "javidiaz/notebook-b68b00577c3b974cbd30", "kernel_id": "28344"}, {"ref": "ghostist/notebook-88e3a30480d69c939d7e", "kernel_id": "38208"}, {"ref": "ni37fsl/notebook-f81ca487af4d7ad860a4", "kernel_id": "26494"}, {"ref": "earos92/crime-test", "kernel_id": "67911"}, {"ref": "akaakaaka/notebookaf9be4a524", "kernel_id": "121333"}, {"ref": "kevinchze/notebook-e8c2939b4aadb5f630b7", "kernel_id": "25984"}, {"ref": "kevinchze/notebook-f5820f17cdcf771f77da", "kernel_id": "25985"}, {"ref": "kevinchze/notebook-fe23421212f4ce736c0b", "kernel_id": "25970"}, {"ref": "laima56/notebook-885b1a3f473829674a00", "kernel_id": "45133"}, {"ref": "dimaiyou/naive2", "kernel_id": "34437"}, {"ref": "dimaiyou/crimedistribution-temporal-spatial", "kernel_id": "34213"}, {"ref": "dimaiyou/notebook-8c0ef8f6ab710b306d50", "kernel_id": "28676"}, {"ref": "dimaiyou/notebook-40eca56244b1be4c4e12", "kernel_id": "28678"}, {"ref": "dimaiyou/notebook-4e5fd9035dc0925db4cf", "kernel_id": "28679"}, {"ref": "dimaiyou/notebook-1e1f7e0a543c1404c4dc", "kernel_id": "28680"}, {"ref": "dimaiyou/naive", "kernel_id": "28665"}, {"ref": "dimaiyou/notebook-8129ed9aa09863d9b1cc", "kernel_id": "28667"}, {"ref": "dimaiyou/test2", "kernel_id": "28672"}, {"ref": "dimaiyou/notebook-d3e39348aa05998df636", "kernel_id": "28673"}, {"ref": "adamgibbons/sanfransubmission", "kernel_id": "27491"}, {"ref": "wk707060335/san-francisco-top-crimes-map", "kernel_id": "28623"}, {"ref": "wk707060335/logistic-regression-v1-2", "kernel_id": "29469"}, {"ref": "archimitra/mr-sherlock-holmes", "kernel_id": "44551"}, {"ref": "heejun99/notebook-c30f2217fae5defe222e", "kernel_id": "28017"}, {"ref": "southwestking/crime-classification", "kernel_id": "27357"}, {"ref": "dataminers1/notebook-65096486467b09563c34", "kernel_id": "27182"}, {"ref": "shadow2718/notebook-0de24884a56a4ce215ad", "kernel_id": "29774"}, {"ref": "asunsada/notebook-9e4aa047182c75264479", "kernel_id": "46734"}, {"ref": "asunsada/notebook-301440eb42eafdc4b04e", "kernel_id": "46736"}, {"ref": "sana12345/notebook-c8b60a22b588eb310b06", "kernel_id": "27484"}, {"ref": "sana12345/notebook-61abc47f105892848364", "kernel_id": "27485"}, {"ref": "tangyutorry/k-nearest-neighbour-train", "kernel_id": "26764"}, {"ref": "seunghonice/notebook-5db754eaae6388771702", "kernel_id": "27310"}, {"ref": "terfilip/attempt-2", "kernel_id": "27522"}, {"ref": "zattoo123/analyse-dataset", "kernel_id": "56998"}, {"ref": "zattoo123/notebook-4f8866e9e4311226e77c", "kernel_id": "56984"}, {"ref": "ksuchak1990/crime-map-notebook", "kernel_id": "53631"}, {"ref": "ksuchak1990/crime-map", "kernel_id": "49759"}, {"ref": "ksuchak1990/sf-crime", "kernel_id": "48749"}, {"ref": "apartmentguru/notebook-fb3ffb81103089f1c8ba", "kernel_id": "37704"}, {"ref": "apartmentguru/notebook-7d6a100f6e068db78fbc", "kernel_id": "37706"}, {"ref": "apartmentguru/notebook-bb4e81fcc08d8c5527eb", "kernel_id": "37702"}, {"ref": "apartmentguru/who-stole-my-sandwhich", "kernel_id": "37672"}, {"ref": "apartmentguru/notebook-90546fa4927685816317", "kernel_id": "37678"}, {"ref": "apartmentguru/r-proper", "kernel_id": "54424"}, {"ref": "apartmentguru/notebook-459bdd41757f28c03594", "kernel_id": "53890"}, {"ref": "apartmentguru/prop-crime-sf", "kernel_id": "53884"}, {"ref": "apartmentguru/notebook-e3081cf8ac9b1954644c", "kernel_id": "53885"}, {"ref": "apartmentguru/notebook-3209cac5190ef5b15c81", "kernel_id": "53886"}, {"ref": "apartmentguru/notebook-76a9dcc71d71b0cd57db", "kernel_id": "55270"}, {"ref": "apartmentguru/notebook-f53c495dd72b3204c7ab", "kernel_id": "55279"}, {"ref": "apartmentguru/property-crime-sf", "kernel_id": "55229"}, {"ref": "dynastyking/something-1", "kernel_id": "27345"}, {"ref": "yubohu/notebook-1c328762d374255f916f", "kernel_id": "26431"}, {"ref": "yubohu/prediction-with-bernoulin", "kernel_id": "26752"}, {"ref": "yubohu/prediction-with-bernoullin", "kernel_id": "26782"}, {"ref": "tmaltese1234/notebook-a9b5b9c2b32976a19d1c", "kernel_id": "26275"}, {"ref": "tmaltese1234/a-history-of-crime", "kernel_id": "26276"}, {"ref": "swordart/san-meta", "kernel_id": "26645"}, {"ref": "ginnyhu/sfcrime", "kernel_id": "29499"}, {"ref": "ginnyhu/notebook-7240139cb4d47086c3b2", "kernel_id": "29500"}, {"ref": "ginnyhu/ginny-0318", "kernel_id": "47675"}, {"ref": "ginnyhu/dfsaag", "kernel_id": "47700"}, {"ref": "ginnyhu/ginny-0318-note", "kernel_id": "47689"}, {"ref": "ginnyhu/note-1", "kernel_id": "47690"}, {"ref": "ginnyhu/noiuchdsuh", "kernel_id": "47698"}, {"ref": "kasiviswanath/a-history-of-crime", "kernel_id": "31130"}, {"ref": "johanjordaan/notebook-d85fbd3ba8c47075d924", "kernel_id": "30565"}, {"ref": "duhang/notebook-fba19ac24e11a13b03b6", "kernel_id": "40449"}, {"ref": "jkoerner/notebook-f5ce959ff2784b901f28", "kernel_id": "46567"}, {"ref": "alexha/jessica-vo", "kernel_id": "28584"}, {"ref": "dzharkov/decisiojkbjbkn-tree", "kernel_id": "29974"}, {"ref": "stephenlee/notebook-31f167a6025281bac014", "kernel_id": "49021"}, {"ref": "jlandesman/sfcrimes", "kernel_id": "71937"}, {"ref": "jlandesman/notebook-587d537e335c04b32391", "kernel_id": "71933"}, {"ref": "forestzhouhe/nnm-hjj", "kernel_id": "54484"}, {"ref": "hisudha/notebook-1baff5c821685f376d8b", "kernel_id": "69018"}, {"ref": "str8sky2star/historical-trend-by-category", "kernel_id": "30664"}, {"ref": "str8sky2star/studying-time-v-s-day-by-category", "kernel_id": "30153"}, {"ref": "sirsam/san-francisco-crime-classification", "kernel_id": "33783"}, {"ref": "sirsam/test-script", "kernel_id": "33790"}, {"ref": "zcyzcyzcy/testsfcrime", "kernel_id": "28077"}, {"ref": "maggiec/logistic-regression-v1-2", "kernel_id": "54154"}, {"ref": "kareemw9/sanfrancrime", "kernel_id": "50037"}, {"ref": "kareemw9/notebook-b4096ea904eec9c85012", "kernel_id": "49740"}, {"ref": "kareemw9/notebook-85b2118ee25e77fe814c", "kernel_id": "49741"}, {"ref": "kareemw9/logistic-regression-for-crime-classifica", "kernel_id": "49716"}, {"ref": "asroma/plotting-classifcation", "kernel_id": "49478"}, {"ref": "bratmn/notebook-d49fe660c28a904f94d1", "kernel_id": "32513"}, {"ref": "podspods/a-history-of-crime", "kernel_id": "29848"}, {"ref": "lewien/notebook-c594e53befa1d12d73e0", "kernel_id": "29127"}, {"ref": "yummin/crime-density-by-location", "kernel_id": "29106"}, {"ref": "ernststamp/mapping-and-visualizing-violent-crime", "kernel_id": "45088"}, {"ref": "akhilraj05/decision-tree", "kernel_id": "49962"}, {"ref": "akhilraj05/notebook-67e0233d69a3b3eeacf3", "kernel_id": "51863"}, {"ref": "nkcsiip307/mytest", "kernel_id": "63968"}, {"ref": "nkcsiip307/notebook-f33153a579e201c1a5a9", "kernel_id": "63969"}, {"ref": "nkcsiip307/notebook-e4a8407cda42dbb66bc6", "kernel_id": "63970"}, {"ref": "zhibin/mapping-and-visualizing-violent-crime", "kernel_id": "59152"}, {"ref": "jackjack/notebook-1bcd86110b0b4efebd03", "kernel_id": "38868"}, {"ref": "ashrobot/notebook-92456af960c0c7c65b1a", "kernel_id": "30147"}, {"ref": "jatkinsturkish/notebook-0c979923a4ff0691d40b", "kernel_id": "30283"}, {"ref": "jatkinsturkish/notebook-696c0a65b918418a56ce", "kernel_id": "30284"}, {"ref": "jatkinsturkish/notebook-76465df0c0b36801aaa4", "kernel_id": "30285"}, {"ref": "lan13005/notebook-ea64c1fbe395dc84c546", "kernel_id": "32807"}, {"ref": "lan13005/notebook-a65b6dc64ffd2cd8de97", "kernel_id": "32808"}, {"ref": "lan13005/notebook-3c404a7a5ddf3b5b2557", "kernel_id": "32811"}, {"ref": "asenauyar/notebook-4234926340671b0bc702", "kernel_id": "30456"}, {"ref": "liufan2312/notebook-10a03a2c8a96f18bd740", "kernel_id": "30796"}, {"ref": "mstoddard/eda-and-classification-score-2-56180", "kernel_id": "68606"}, {"ref": "dqmind/notebook-d667dda2630e5d259ab9", "kernel_id": "66539"}, {"ref": "dqmind/dqmind-sfcrime", "kernel_id": "66521"}, {"ref": "dqmind/notebook-75b40ffc312e0721a31a", "kernel_id": "68677"}, {"ref": "gileshc/visualizing-sf-crime-by-pd-district", "kernel_id": "31801"}, {"ref": "dollardollar/notebook-7b5804304c371bd66568", "kernel_id": "67468"}, {"ref": "dollardollar/notebook-a7613edac44c1fa3c57d", "kernel_id": "67470"}, {"ref": "dollardollar/importance-of-address-features", "kernel_id": "67471"}, {"ref": "gopigrip7/san-francisco-top-crimes-map", "kernel_id": "31481"}, {"ref": "gopigrip7/notebook-e53247eb9e4fca9cffff", "kernel_id": "31482"}, {"ref": "gopigrip7/studying-time-v-s-day-by-category", "kernel_id": "31600"}, {"ref": "gopigrip7/notebook-16f1c6f297efe7e5b71c", "kernel_id": "32326"}, {"ref": "gopigrip7/notebook-c58474cb37b973014fe2", "kernel_id": "32329"}, {"ref": "anu2analytics/notebook-7dbd181611c618e1ddf7", "kernel_id": "65846"}, {"ref": "anu2analytics/heatmap-for-crime-categories-and-area", "kernel_id": "68122"}, {"ref": "felixmohr/notebook-8c6dbfe7b46a8bea440a", "kernel_id": "35222"}, {"ref": "felixmohr/notebook-6d3e218a6d921a82f64f", "kernel_id": "35223"}, {"ref": "gzricky/notebook-b72daa4630e5c9cf3066", "kernel_id": "31818"}, {"ref": "gzricky/notebook-a585504fb59553a0006d", "kernel_id": "31820"}, {"ref": "mholland/testing", "kernel_id": "32327"}, {"ref": "localchung/notebook-7d857dfaaa16a339d865", "kernel_id": "34000"}, {"ref": "jintae/r-test", "kernel_id": "55624"}, {"ref": "jintae/notebook-5e0c9f1230797e494287", "kernel_id": "55541"}, {"ref": "jintae/notebook-b1015ab4d899c1fe39a3", "kernel_id": "55542"}, {"ref": "jintae/crimemap", "kernel_id": "55543"}, {"ref": "jintae/ttestes", "kernel_id": "56212"}, {"ref": "jintae/r-test1", "kernel_id": "55937"}, {"ref": "johnhu/notebook-7452e290e5f01c43b251", "kernel_id": "45829"}, {"ref": "johnhu/notebook-5fd34214df577ca381b4", "kernel_id": "45830"}, {"ref": "johnhu/notebook-7928f74708f35e33c12d", "kernel_id": "45834"}, {"ref": "johnhu/notebook-982fa1cf418c3e2f48ae", "kernel_id": "45700"}, {"ref": "johnhu/notebook-aa61d8ce0da54552d2e1", "kernel_id": "45644"}, {"ref": "johnhu/geo-comparision-for-different-crimes", "kernel_id": "45640"}, {"ref": "johnhu/notebook-bb6fedf6239c1fa69ea1", "kernel_id": "45057"}, {"ref": "sarems/just-trying-it-out", "kernel_id": "35381"}, {"ref": "shadrach/notebook-1ad7f4c31b505e891b9c", "kernel_id": "32170"}, {"ref": "kinkerboss/test1", "kernel_id": "32290"}, {"ref": "kinkerboss/notebook-7e208e4fbb90035a33e5", "kernel_id": "32285"}, {"ref": "prateekbhat/notebook-1db370260f4556adad84", "kernel_id": "72955"}, {"ref": "vwrobel/a-history-of-crime", "kernel_id": "41528"}, {"ref": "jabbed/notebook-8decb493ad6406490e30", "kernel_id": "32400"}, {"ref": "edurnita/notebook-76e641810d1a6f71daf6", "kernel_id": "39096"}, {"ref": "edurnita/top-10-crimes-and-prediction", "kernel_id": "39087"}, {"ref": "jmuthu/notebook-e360dfa495e5dbb93c38", "kernel_id": "39218"}, {"ref": "them00se/notebook-9bb57f761b72d7e8d136", "kernel_id": "33568"}, {"ref": "them00se/notebook-aebbb66c3b775546ceba", "kernel_id": "33823"}, {"ref": "hajarb/sf-crime-treemap", "kernel_id": "33121"}, {"ref": "hajarb/sf-crime-count-plot", "kernel_id": "33102"}, {"ref": "chenhlcasiop/notebook-b9b97535eec5f991d262", "kernel_id": "48814"}, {"ref": "chenhlcasiop/notebook-93651aac3cb84363a77a", "kernel_id": "48820"}, {"ref": "soniabadene/notebook-b0265b053daf4865a3ac", "kernel_id": "53281"}, {"ref": "jiajiechen0319/notebook-56bf33003031999b0d43", "kernel_id": "61383"}, {"ref": "lzh1991/notebook-0da86ddf899ef62d0b4d", "kernel_id": "32964"}, {"ref": "lzh1991/notebook-382bd2729129af0c07bd", "kernel_id": "32965"}, {"ref": "newtonguass/notebook-509508ff465a70e930e9", "kernel_id": "69502"}, {"ref": "kenchen/notebook-3d974ebbfcb7ec02d7da", "kernel_id": "72389"}, {"ref": "guru13/notebook-fd2f74c2c814aa43f8f2", "kernel_id": "39917"}, {"ref": "guru13/notebook-12a4ce7d3aec7cdf4c66", "kernel_id": "39920"}, {"ref": "arjundatt/ipolice", "kernel_id": "33293"}, {"ref": "arjundatt/notebook-962b350d18a7007e0395", "kernel_id": "33276"}, {"ref": "eddiel92/notebook-3b96dd217cc967a739b4", "kernel_id": "47185"}, {"ref": "a13eer/notebook-c2be4c02b096d794af04", "kernel_id": "72501"}, {"ref": "hubertyear/notebook-478f9e1ef8c0c1f8f3c8", "kernel_id": "33574"}, {"ref": "fabiandubois/notebook-e40ff0d68cb7a4383981", "kernel_id": "38848"}, {"ref": "naisargee/notebook-9b2622f256f0e1ccf5e4", "kernel_id": "85124"}, {"ref": "agsound/solution1", "kernel_id": "33633"}, {"ref": "emredmr93/nkpppl", "kernel_id": "47338"}, {"ref": "emredmr93/vvsczc", "kernel_id": "47339"}, {"ref": "riddhishah/notebook-ce124234fd97a6418e2b", "kernel_id": "37843"}, {"ref": "riddhishah/notebook-899587ed60f101fb4e9d", "kernel_id": "45016"}, {"ref": "nineplusnine/visualizing-top-categories", "kernel_id": "36780"}, {"ref": "group4ai/notebook-248f9be9c8aacf7d10fb", "kernel_id": "43436"}, {"ref": "emptycasket/eda-and-classification-score-2-56180", "kernel_id": "59372"}, {"ref": "emptycasket/notebook-789bdfa2852066b6d0df", "kernel_id": "59374"}, {"ref": "emptycasket/notebook-035a333b9ed0ced4447c", "kernel_id": "59375"}, {"ref": "pramiljain/notebook-907e1d04093b7a3fbdf5", "kernel_id": "34317"}, {"ref": "and186/san-francisco-crime-classification", "kernel_id": "76103"}, {"ref": "jonghkim/notebook-fb2886bc7b56385f6840", "kernel_id": "34752"}, {"ref": "jonghkim/notebook-30d158388dc613f3acde", "kernel_id": "34753"}, {"ref": "chriscashman/notebook-bbd2792c5beff82b7229", "kernel_id": "40316"}, {"ref": "mfumagalli68/san-fransisco-top-drugs-crimes-by-year", "kernel_id": "39970"}, {"ref": "kaggle1969/prediction-crime-with-naive-bayes-mb", "kernel_id": "44165"}, {"ref": "kaggle1969/data-visualization-top-5-crime", "kernel_id": "43362"}, {"ref": "jiayue/notebook-7bcd2e2a2954916da26f", "kernel_id": "45428"}, {"ref": "jiayue/kaggletry", "kernel_id": "45425"}, {"ref": "joestanton/my-first-attempt", "kernel_id": "35036"}, {"ref": "lavneet/notebook-a1c8189e9b9a204fe627", "kernel_id": "60781"}, {"ref": "qq532933297/my-first-try-in-finding-larcency-by-svm", "kernel_id": "43060"}, {"ref": "qq532933297/notebook-a7b9d73fbf34f2d33c31", "kernel_id": "41673"}, {"ref": "qq532933297/notebook-8601f1bdfc95b2710731", "kernel_id": "41678"}, {"ref": "qq532933297/notebook-54df2c19de34a06f0a09", "kernel_id": "41675"}, {"ref": "qq532933297/notebook-d3749d351411f26f969e", "kernel_id": "41687"}, {"ref": "qq532933297/a-beginner-tries-naive-bayes", "kernel_id": "41688"}, {"ref": "qq532933297/notebook-8665efca10f6b99d113a", "kernel_id": "41278"}, {"ref": "qq532933297/a-copy-from-draw-map", "kernel_id": "41300"}, {"ref": "qq532933297/notebook-2a18c48f58dc5a39ff6a", "kernel_id": "41367"}, {"ref": "qq532933297/notebook-49ad0e2d52550f972438", "kernel_id": "40851"}, {"ref": "qq532933297/notebook-c81d330f6fb3a8586f7f", "kernel_id": "40852"}, {"ref": "qq532933297/notebook-c97e9d12a4b1c8145caf", "kernel_id": "40849"}, {"ref": "qq532933297/kokokk", "kernel_id": "40688"}, {"ref": "qq532933297/a-copy-from-a-history", "kernel_id": "40652"}, {"ref": "qq532933297/notebook-b024709cdf0f1be5b1b9", "kernel_id": "40793"}, {"ref": "qq532933297/notebook-ff5231d000d9c9ea5cf0", "kernel_id": "40794"}, {"ref": "qq532933297/notebook-716276ebc8c0c31c88ce", "kernel_id": "47334"}, {"ref": "qq532933297/notebook-c6b170f7a80431c6f168", "kernel_id": "47117"}, {"ref": "qq532933297/notebook-f4859e4e20d83fc72318", "kernel_id": "45555"}, {"ref": "qq532933297/notebook-c947faec4db8f812fbf8", "kernel_id": "45553"}, {"ref": "qq532933297/notebook-2f8474e51672d5f86a1f", "kernel_id": "43423"}, {"ref": "zhouyzzz/notebook-80ea32a678a63fc40c4d", "kernel_id": "36149"}, {"ref": "avior69/notebook-2cb6e0b0e4c36999b64a", "kernel_id": "67640"}, {"ref": "matthewwdemas/test-script", "kernel_id": "40626"}, {"ref": "matthewwdemas/notebook-1f975ca02eac71099aa4", "kernel_id": "40628"}, {"ref": "matthewwdemas/notebook-690438f576991ea34201", "kernel_id": "40700"}, {"ref": "matthewwdemas/notebook-e64c36b055039f9b91b2", "kernel_id": "40608"}, {"ref": "matthewwdemas/hello", "kernel_id": "44255"}, {"ref": "matthewwdemas/dataexploration", "kernel_id": "47176"}, {"ref": "matthewwdemas/notebook-fc1fe5c3fee6113ea9f9", "kernel_id": "47403"}, {"ref": "weiyu322/notebook-de03a38ffe553be7f294", "kernel_id": "39791"}, {"ref": "bd569334590/test-1-ggmap", "kernel_id": "40618"}, {"ref": "wzhwwhy/neural-nets-and-address-featurization", "kernel_id": "44928"}, {"ref": "tong2016/notebook-c5e758b5c1e849b5a847", "kernel_id": "37602"}, {"ref": "kanekcwu/notebook-74bdbff7e547b2820976", "kernel_id": "36168"}, {"ref": "yehjames/test-random-forest", "kernel_id": "150817"}, {"ref": "yehjames/xgboost-crime-classification", "kernel_id": "150818"}, {"ref": "wangyujie/notebook-9d984a4725586b3ece62", "kernel_id": "39256"}, {"ref": "mbrickerd/notebook-ef780db05ba40883e82b", "kernel_id": "56449"}, {"ref": "mbrickerd/notebook-31732fa8c12bca01c2f9", "kernel_id": "56450"}, {"ref": "mbrickerd/notebook-c20cc0038c1e8970da75", "kernel_id": "57236"}, {"ref": "naphazg/notebook-92b84fd335286f0f1251", "kernel_id": "55214"}, {"ref": "manisha89/notebook-4030a7860f245bab9cac", "kernel_id": "40885"}, {"ref": "jburbridge/frankenstein", "kernel_id": "52250"}, {"ref": "jyuukenbu/notebook-591402116ee6e92e10bd", "kernel_id": "51952"}, {"ref": "natalychhan/notebook-6141b6914dc62e1135d3", "kernel_id": "39824"}, {"ref": "natalychhan/notebook-de8fbca3bb5012805f91", "kernel_id": "39086"}, {"ref": "natalychhan/notebook-2870c2eca0ed4ccb64b6", "kernel_id": "39254"}, {"ref": "natalychhan/notebook-652eeb3751d8b0bd24ac", "kernel_id": "39045"}, {"ref": "natalychhan/notebook-04e6a8d54406dd69d90a", "kernel_id": "39069"}, {"ref": "natalychhan/notebook-e7c5a61c95345e31a79b", "kernel_id": "39368"}, {"ref": "natalychhan/notebook-f6de4ba519f15275723b", "kernel_id": "39478"}, {"ref": "natalychhan/notebook-7ce848856bc67eb2cea6", "kernel_id": "39636"}, {"ref": "natalychhan/notebook-bf6e89f736f8a699be0d", "kernel_id": "39533"}, {"ref": "natalychhan/san-franc-suicides", "kernel_id": "38526"}, {"ref": "natalychhan/notebook-a8b718e15ad0e131fbdc", "kernel_id": "38500"}, {"ref": "motoitanigaki/testingg", "kernel_id": "38477"}, {"ref": "motoitanigaki/notebook-f231213d3b63e9354403", "kernel_id": "38478"}, {"ref": "omjoonkim/notebook-c99c622106f87ea62391", "kernel_id": "45557"}, {"ref": "tkishimo/notebook-70217f478208ca9dc07a", "kernel_id": "51889"}, {"ref": "tkishimo/neural-nets-and-address-featurization", "kernel_id": "53193"}, {"ref": "tkishimo/notebook-15ac349474f7962269a1", "kernel_id": "53156"}, {"ref": "arpansomani/temp2", "kernel_id": "48207"}, {"ref": "srijay/welcome", "kernel_id": "45572"}, {"ref": "zakapop/notebookcd899fa46f", "kernel_id": "159419"}, {"ref": "zhzh9103/notebook-8141218b1b87f642a3cb", "kernel_id": "51741"}, {"ref": "romaindsf/notebook-c6d99080224c14676230", "kernel_id": "53239"}, {"ref": "sada1510/exploring-the-data", "kernel_id": "66422"}, {"ref": "biagio90/notebook-e5688d3ad16778489141", "kernel_id": "40015"}, {"ref": "biagio90/notebook-155fc6c74767462bdfac", "kernel_id": "40158"}, {"ref": "jaybee79/sf-crime-adaboost-benchmark-in-r", "kernel_id": "46022"}, {"ref": "jaybee79/sf-crime-adaboost-benchmark-in-python", "kernel_id": "44951"}, {"ref": "jaybee79/sf-crime-naive-bayes-benchmark-in-r", "kernel_id": "44308"}, {"ref": "jaybee79/sf-crime-nb-benchmark-in-python", "kernel_id": "44059"}, {"ref": "jaybee79/sf-crime-naive-bayes-bench-in-python", "kernel_id": "44055"}, {"ref": "jaybee79/sf-crime-knn-benchmark-in-python", "kernel_id": "44031"}, {"ref": "jaybee79/sf-crime-multi-logit-bench-in-python-1", "kernel_id": "43782"}, {"ref": "jaybee79/sf-crime-rf-benchmark-in-python", "kernel_id": "43726"}, {"ref": "jaybee79/sf-crime-classification-rf-benchmark", "kernel_id": "40248"}, {"ref": "jaybee79/sf-crime-classification-nn-benchmark", "kernel_id": "40586"}, {"ref": "jaybee79/sf-crime-classification-svm-benchmark", "kernel_id": "40416"}, {"ref": "jaybee79/sf-crime-class-multinom-logit-bench", "kernel_id": "41236"}, {"ref": "jaybee79/sf-crime-class-knn-s-only-benchmark", "kernel_id": "40782"}, {"ref": "sohrabrs/geo-comparision-for-different-crimes", "kernel_id": "51243"}, {"ref": "ruanys/notebook-6eb5146fbff6ba8fbf45", "kernel_id": "40175"}, {"ref": "otpblom/san-fransico", "kernel_id": "40674"}, {"ref": "lobraga/sub-test", "kernel_id": "67888"}, {"ref": "ellenmik/decision-tree", "kernel_id": "45879"}, {"ref": "ellenmik/mlmlml", "kernel_id": "45417"}, {"ref": "ellenmik/logistic-regression-v1-2-fork-yi", "kernel_id": "45564"}, {"ref": "ellenmik/machine-learning", "kernel_id": "43406"}, {"ref": "deruijter/sfcc-mapcrime", "kernel_id": "42936"}, {"ref": "ebl420/notebook-d777efe2cbe467010017", "kernel_id": "43730"}, {"ref": "ericawilthagen/studying-time-v-s-day-by-category", "kernel_id": "43710"}, {"ref": "ericawilthagen/neural-nets-and-address-featurization", "kernel_id": "45108"}, {"ref": "jesperslik/testscrip", "kernel_id": "43666"}, {"ref": "philipsamuel/crime-history", "kernel_id": "44395"}, {"ref": "tan1308475/notebookdd016ced00", "kernel_id": "139708"}, {"ref": "robwanders/san-francisco-crime-classification", "kernel_id": "50170"}, {"ref": "robwanders/eda-and-classification-score-2-56180", "kernel_id": "49695"}, {"ref": "postmus/function-to-map-any-crime", "kernel_id": "50408"}, {"ref": "valyome/notebook-864bc7c7618242bf8687", "kernel_id": "45826"}, {"ref": "zhengwsh/notebook-063c66391cebc6eee0cc", "kernel_id": "41352"}, {"ref": "soj600/sfcrime", "kernel_id": "44768"}, {"ref": "soj600/predict", "kernel_id": "45385"}, {"ref": "sillyplus/notebook-237f4b31e3c9e377ae47", "kernel_id": "42890"}, {"ref": "sillyplus/cc-test", "kernel_id": "42895"}, {"ref": "sanjib03/san-francisco-crime-classification", "kernel_id": "91398"}, {"ref": "sanjib03/sf-randomforest", "kernel_id": "91594"}, {"ref": "sanjib03/notebook460da5b225", "kernel_id": "97808"}, {"ref": "sanjib03/sf-logit", "kernel_id": "97779"}, {"ref": "sanjib03/sf-xgb", "kernel_id": "98405"}, {"ref": "sanjib03/sf-adaptiveboosting", "kernel_id": "95772"}, {"ref": "liuyanchen/yanliu", "kernel_id": "43798"}, {"ref": "liuyanchen/notebook-66d7cbef11bd3c3cd630", "kernel_id": "45042"}, {"ref": "liuyanchen/notebook-69abc6f59ebfd5ce57fa", "kernel_id": "45043"}, {"ref": "liuyanchen/notebook-5e1fc0e0d098743214ea", "kernel_id": "45044"}, {"ref": "liuyanchen/notebook-8fc79f6756cfe39b925e", "kernel_id": "45046"}, {"ref": "laureljoannes/test-crime", "kernel_id": "43380"}, {"ref": "joel1991/mlcase", "kernel_id": "43411"}, {"ref": "frankz19229/function-to-map-any-crime", "kernel_id": "43875"}, {"ref": "frankz19229/histograms-of-crime-by-day-district-year", "kernel_id": "50449"}, {"ref": "frankz19229/notebook-7e943a8d44979535dd65", "kernel_id": "50429"}, {"ref": "buster42/notebook-d3ba099575ff1a8d8540", "kernel_id": "47578"}, {"ref": "maite828/notebook-2bb9de99a9b5c3828e08", "kernel_id": "65268"}, {"ref": "maite828/exploration-dashboard-tableu", "kernel_id": "66799"}, {"ref": "maite828/test-random-forest", "kernel_id": "66764"}, {"ref": "maite828/notebook-81f9f3ab5457ac807834", "kernel_id": "66784"}, {"ref": "maite828/notebook-32e850d52cbc93419b3a", "kernel_id": "66755"}, {"ref": "maite828/exploration-and-test-random-forest", "kernel_id": "66642"}, {"ref": "maite828/notebook-92a1a35730c1300abb6c", "kernel_id": "66662"}, {"ref": "maite828/notebook-9881461ab251c3d4d0cb", "kernel_id": "66663"}, {"ref": "maite828/notebook-e4af54e1455ca13f9232", "kernel_id": "66664"}, {"ref": "maite828/notebook-8c2b71a47a6e868c42bb", "kernel_id": "66665"}, {"ref": "maite828/notebook-32874d09c485027c64da", "kernel_id": "66666"}, {"ref": "maite828/notebook-e33260ae14a9ea9391bc", "kernel_id": "66667"}, {"ref": "maite828/notebook-ddb571ff5aad6906c690", "kernel_id": "66669"}, {"ref": "maite828/notebook-530d39f72ca8ceef18d7", "kernel_id": "66671"}, {"ref": "maite828/notebook-87e285930bd31c37d387", "kernel_id": "66672"}, {"ref": "maite828/notebook-6e564f70018eec37bc39", "kernel_id": "66673"}, {"ref": "maite828/notebook-460588cec5ef4aef29be", "kernel_id": "66674"}, {"ref": "maite828/notebook-9262a86dabb41d604351", "kernel_id": "66675"}, {"ref": "rensijsendijk/kaggle-crime", "kernel_id": "43651"}, {"ref": "rensijsendijk/zwirp", "kernel_id": "50178"}, {"ref": "ckpalk/studying-time-v-s-day-by-category", "kernel_id": "46351"}, {"ref": "tomboersma/testa", "kernel_id": "43865"}, {"ref": "nienkeluirink/script-r", "kernel_id": "43927"}, {"ref": "nahidncirl1/notebook-a1f46891d3cf631f97e6", "kernel_id": "51227"}, {"ref": "nahidncirl1/notebook-e1cd51b92eb6c0230d6f", "kernel_id": "52621"}, {"ref": "nahidncirl1/notebook-fe48a31704362c4ca151", "kernel_id": "52612"}, {"ref": "liaoyt/fighting-crime-with-keras-2", "kernel_id": "64226"}, {"ref": "greghacob/notebook-959db05e2264b542c238", "kernel_id": "66816"}, {"ref": "starkjarvis/notebook-dc7214104e8e59838b62", "kernel_id": "67046"}, {"ref": "starkjarvis/visualizing-top-crimes-in-sf-on-map", "kernel_id": "67049"}, {"ref": "ryanka101/mr-sherlock-holmes", "kernel_id": "57362"}, {"ref": "jypucca/notebook-8089e6bf00e6903d9a9c", "kernel_id": "57438"}, {"ref": "xh8604/san-francisco-crime-classification", "kernel_id": "66219"}, {"ref": "xh8604/san-francisco-crime-map", "kernel_id": "64004"}, {"ref": "patel573/notebook-de91a593f1c097f12d43", "kernel_id": "68385"}, {"ref": "patel573/notebook-4f548191ca664c7b7436", "kernel_id": "68387"}, {"ref": "patel573/notebook-f916c9fed5c73420cd4b", "kernel_id": "68388"}, {"ref": "itsme302/initial-benchmark-need-tuning", "kernel_id": "47787"}, {"ref": "tutela/something11", "kernel_id": "49240"}, {"ref": "tutela/something1", "kernel_id": "49233"}, {"ref": "tutela/something", "kernel_id": "49223"}, {"ref": "ulusek/notebook-b0cc6259a35caca134cf", "kernel_id": "46158"}, {"ref": "mystarta/mapping-and-visualizing-violent-crime-22", "kernel_id": "68963"}, {"ref": "mystarta/jsa-crime", "kernel_id": "68971"}, {"ref": "mystarta/notebook-0939342f3c243d6dd873", "kernel_id": "68966"}, {"ref": "mystarta/crime-jsa", "kernel_id": "68968"}, {"ref": "mystarta/notebook-12ca81321edcf6d48da0", "kernel_id": "68957"}, {"ref": "mystarta/notebook-785b66bc95962bf5d0fb", "kernel_id": "68959"}, {"ref": "nareshvemula/notebook-0e753416623ad15031df", "kernel_id": "62936"}, {"ref": "nareshvemula/notebook-86fd46e6e154319fe8a6", "kernel_id": "62937"}, {"ref": "nareshvemula/data-cleaning", "kernel_id": "62933"}, {"ref": "nareshvemula/notebook-9f2ce39ea11a4433a4f5", "kernel_id": "62973"}, {"ref": "nareshvemula/cleaningandvisulization", "kernel_id": "62960"}, {"ref": "sujiths52/first-try", "kernel_id": "54117"}, {"ref": "since213and311/notebook-79a2b16ed9e28fc200e5", "kernel_id": "47061"}, {"ref": "since213and311/hello", "kernel_id": "47062"}, {"ref": "chaithanya1996/sanfransico-script", "kernel_id": "66791"}, {"ref": "bismarck/notebook-a0cad5fa33a46afa987f", "kernel_id": "49296"}, {"ref": "bismarck/san-francisco-top-crimes-map", "kernel_id": "49121"}, {"ref": "jihyeseo/unzip-eda", "kernel_id": "958184"}, {"ref": "nyersho1/predicting-sf-crime-rates", "kernel_id": "54653"}, {"ref": "nyersho1/notebook-fa4e76f8671be279e7fe", "kernel_id": "54655"}, {"ref": "felixg/attempt", "kernel_id": "67305"}, {"ref": "felixg/notebook-595c14ba9749e602c320", "kernel_id": "67306"}, {"ref": "imamatif/notebook-e591c6db5b9df37e272a", "kernel_id": "57854"}, {"ref": "imamatif/notebook-6f7a7ee038ae43d46dc6", "kernel_id": "57631"}, {"ref": "kimono/kimono-script-sf", "kernel_id": "53897"}, {"ref": "kimono/notebook-71187b949ecc8095bd27", "kernel_id": "54344"}, {"ref": "drewba/test-script", "kernel_id": "53361"}, {"ref": "mahvishponum/aa12a", "kernel_id": "48768"}, {"ref": "hallahbutt/hallah", "kernel_id": "48751"}, {"ref": "mohamedelkarim/testr3", "kernel_id": "51370"}, {"ref": "mohamedelkarim/test1", "kernel_id": "51348"}, {"ref": "mohamedelkarim/notebook-56283e8046e8a29c36cd", "kernel_id": "51350"}, {"ref": "mohamedelkarim/testr", "kernel_id": "51351"}, {"ref": "mohamedelkarim/notebook-84216b48da27138240b2", "kernel_id": "51352"}, {"ref": "xiaotuzuoshuju/notebook-da48f405309a8a902f6c", "kernel_id": "50981"}, {"ref": "xiaotuzuoshuju/a-history-of-crime", "kernel_id": "50982"}, {"ref": "michael1988/point-pattern-anlysis", "kernel_id": "52561"}, {"ref": "michael1988/prova", "kernel_id": "52432"}, {"ref": "zhoujy/notebook-001885ada576b13e49c2", "kernel_id": "70659"}, {"ref": "zhoujy/mapping-and-visualizing-violent-crime", "kernel_id": "70660"}, {"ref": "zhoujy/xgboost-crime-classification", "kernel_id": "71428"}, {"ref": "zhoujy/notebook-a5ee2d14f0cdfbab0960", "kernel_id": "68704"}, {"ref": "lblamo/analysis", "kernel_id": "49212"}, {"ref": "lblamo/notebook-63a3370b3839e813e477", "kernel_id": "49228"}, {"ref": "lblamo/notebook-d22c158a627bd7f54493", "kernel_id": "49229"}, {"ref": "mjjenkins11/initialscript", "kernel_id": "51039"}, {"ref": "yutime/tester", "kernel_id": "49794"}, {"ref": "yutime/notebook-1ac8a7c0b7de3fe490ef", "kernel_id": "49795"}, {"ref": "xiaoshcihang/firstrun", "kernel_id": "50210"}, {"ref": "luoming/notebookece37e447b", "kernel_id": "200246"}, {"ref": "getacluu/sf-crime-data", "kernel_id": "50592"}, {"ref": "yanwii/yanwii-2", "kernel_id": "51176"}, {"ref": "yanwii/notebook-01c89dff89c1e4c25d6a", "kernel_id": "51185"}, {"ref": "yanwii/notebook-7190874a1eb59c8f2121", "kernel_id": "51186"}, {"ref": "galpusha/notebook-7aa726d7afd98aca83be", "kernel_id": "58469"}, {"ref": "thomseb/check", "kernel_id": "64752"}, {"ref": "dfenestrator/function-to-map-any-crime", "kernel_id": "52835"}, {"ref": "sgvenkata/notebook-71a1b6a044e3097d6639", "kernel_id": "58198"}, {"ref": "sgvenkata/notebook-32e48be12ba3fb2cee20", "kernel_id": "51805"}, {"ref": "sgvenkata/notebook-6eb160444d69d0e198c4", "kernel_id": "60175"}, {"ref": "evizitei/notebook-f27dcd2ad736e0e0de42", "kernel_id": "51783"}, {"ref": "evizitei/sf-crimes-analysis", "kernel_id": "51777"}, {"ref": "kagbilly/notebook-f4879291f63c90089d8f", "kernel_id": "61906"}, {"ref": "mengtihlam/tests", "kernel_id": "61348"}, {"ref": "pamlyu/notebook-7c82f70c49afaeb1d374", "kernel_id": "64075"}, {"ref": "pamlyu/notebook-384a486c148ad1b1014e", "kernel_id": "64076"}, {"ref": "winsonlam/notebook-0eb7eb8472383f912c8c", "kernel_id": "60841"}, {"ref": "remyzum/remyzum-sf-data", "kernel_id": "53100"}, {"ref": "remyzum/notebook-386299ac91c7d9bddf70", "kernel_id": "64172"}, {"ref": "remyzum/global-r", "kernel_id": "64173"}, {"ref": "raphaelmotola/notebook-665b55e26ae76b570093", "kernel_id": "59706"}, {"ref": "raphaelmotola/notebook-765e2d6b56d1c92d87b8", "kernel_id": "59718"}, {"ref": "raphaelmotola/notebook-8bab63ac4c3a1f54a3b5", "kernel_id": "58994"}, {"ref": "raphaelmotola/exploring-sf-crimes-dataset", "kernel_id": "58995"}, {"ref": "raphaelmotola/exploring-sf-crime", "kernel_id": "58996"}, {"ref": "raphaelmotola/notebook-a48a08f667ca29fe36d8", "kernel_id": "58997"}, {"ref": "raphaelmotola/notebook-59dd620eb5e84da60a5c", "kernel_id": "58733"}, {"ref": "raphaelmotola/notebook-f46ba3135ab06d218991", "kernel_id": "59715"}, {"ref": "raphaelmotola/notebook-234de2dc3504772fbf52", "kernel_id": "59385"}, {"ref": "raphaelmotola/notebook-bf43edb0ae06fb5f897f", "kernel_id": "59350"}, {"ref": "raphaelmotola/notebook-7cbefe2fdf5e9b195b6d", "kernel_id": "59352"}, {"ref": "syalpradeep/notebook-3b4a912e23003cba2fcd", "kernel_id": "62954"}, {"ref": "pablolopez/random-forests-py", "kernel_id": "58397"}, {"ref": "spacesda/initial-benchmark-need-tuning-j", "kernel_id": "68939"}, {"ref": "spacesda/notebook-420431c25f5b7e192e2b", "kernel_id": "68927"}, {"ref": "spacesda/mapping-and-visualizing-violent-crime", "kernel_id": "68928"}, {"ref": "spacesda/neural-nets-and-address-featurization", "kernel_id": "65619"}, {"ref": "spacesda/notebook-f8314b406fcf3205e35b", "kernel_id": "65614"}, {"ref": "spacesda/initial-benchmark-need-tuning", "kernel_id": "65607"}, {"ref": "spacesda/san-francisco-top-crimes-map", "kernel_id": "59939"}, {"ref": "taodsc/notebook-a55e1f6ecb8b9ce80a67", "kernel_id": "53837"}, {"ref": "yihaoxia/studying-time-v-s-day-by-category", "kernel_id": "54104"}, {"ref": "yihaoxia/notebook-d0f127ab017e782a5ba8", "kernel_id": "54106"}, {"ref": "kamyarkazemi1373/geo-comparision-for-different-crimes", "kernel_id": "67742"}, {"ref": "kamyarkazemi1373/eda-and-classification-score-2-56180", "kernel_id": "67644"}, {"ref": "shakila/time-vs-type-vizualization", "kernel_id": "55762"}, {"ref": "kevinkirchhoff/notebook-170b8f25fe4292b94656", "kernel_id": "58530"}, {"ref": "kevinkirchhoff/density-plots-using-constraints", "kernel_id": "58531"}, {"ref": "kevinkirchhoff/notebook-6361104303a68d2efccc", "kernel_id": "67919"}, {"ref": "kevinkirchhoff/notebook-22a120778c9d0ab3f794", "kernel_id": "67920"}, {"ref": "kevinkirchhoff/notebook-7c38c937cea5352a1463", "kernel_id": "67923"}, {"ref": "kevinkirchhoff/random-forest-solution", "kernel_id": "67915"}, {"ref": "doctorh/notebook-7be0535437eb7cc5cbba", "kernel_id": "68186"}, {"ref": "doctorh/notebook-6eb9f81ee15b9473315b", "kernel_id": "68187"}, {"ref": "doctorh/notebook-24246677bcf2ee31167d", "kernel_id": "68188"}, {"ref": "doctorh/notebook-77e5d60679ee8b22201d", "kernel_id": "67688"}, {"ref": "doctorh/notebook-56c5fa256a94a85ceea5", "kernel_id": "67689"}, {"ref": "doctorh/notebook-3615b9b37173ec1c6260", "kernel_id": "67690"}, {"ref": "praveen28/notebook-b292a798f055a25073fc", "kernel_id": "62702"}, {"ref": "tabrejkhan/sf-crimes-analysis", "kernel_id": "56183"}, {"ref": "tabrejkhan/notebook-6d28152467ba3e553d55", "kernel_id": "56186"}, {"ref": "lovdata/predict-crime-is-a-multilabel-task", "kernel_id": "67500"}, {"ref": "lovdata/mapping-and-visualizing-violent-crime", "kernel_id": "67517"}, {"ref": "lovdata/notebook-b1135ef5258b2b66ff38", "kernel_id": "67518"}, {"ref": "lovdata/sfmap", "kernel_id": "69721"}, {"ref": "lovdata/notebook-608bce5e76ced62c8d83", "kernel_id": "69723"}, {"ref": "lovdata/notebook-5081fa0630cfb66d026e", "kernel_id": "69730"}, {"ref": "lovdata/notebook-27e331348d6627e39627", "kernel_id": "69732"}, {"ref": "lovdata/sf-map", "kernel_id": "69740"}, {"ref": "guangq/notebookebd5cd591d", "kernel_id": "91697"}, {"ref": "guangq/notebookd0b96dbb70", "kernel_id": "91954"}, {"ref": "gtzerr/notebook-d32854a2358c87db80bf", "kernel_id": "56310"}, {"ref": "xunying/notebook-e7f205ef4886be5a4744", "kernel_id": "57151"}, {"ref": "jaksen/crime-mapping", "kernel_id": "58422"}, {"ref": "adarshshekhar/random-forest", "kernel_id": "66945"}, {"ref": "adarshshekhar/notebook-c1b0730bc76b79041462", "kernel_id": "66961"}, {"ref": "adarshshekhar/data-visualization-python", "kernel_id": "66940"}, {"ref": "adarshshekhar/test11", "kernel_id": "66937"}, {"ref": "wyman1024/notebook-97eaa33fa6cd25704b6f", "kernel_id": "59602"}, {"ref": "wyman1024/test-for-me", "kernel_id": "59603"}, {"ref": "wyztammy/notebook-333f5b77ef3fe8a97e96", "kernel_id": "60951"}, {"ref": "overfit/test-multi", "kernel_id": "99143"}, {"ref": "weiwohengda/notebook-ea747fe42ad01c98509a", "kernel_id": "61209"}, {"ref": "yuanyuanjiang1995/notebook-6e10e3d585f834c9d899", "kernel_id": "60985"}, {"ref": "zanderkent/notebook-501659d4be17cd2398a7", "kernel_id": "64695"}, {"ref": "zanderkent/notebook-370ce74462075b113b88", "kernel_id": "63833"}, {"ref": "zanderkent/notebook-8c0f576e581008c2422c", "kernel_id": "63834"}, {"ref": "zanderkent/violent-crime-prediction-using-rf", "kernel_id": "63835"}, {"ref": "zanderkent/notebook-8bb5a3be678ab340f410", "kernel_id": "63839"}, {"ref": "sfatone/the56", "kernel_id": "61240"}, {"ref": "datamining013/neruls", "kernel_id": "68540"}, {"ref": "galgoode/k-nearest-neighbors-classifier", "kernel_id": "62037"}, {"ref": "wangmeihuachina/notebook-3b721d4402c76336000c", "kernel_id": "62798"}, {"ref": "wangmeihuachina/notebook-9cdf2b9f5c12cd4ee3dd", "kernel_id": "62796"}, {"ref": "allatarighati/mr-sherlock-holmes", "kernel_id": "62055"}, {"ref": "whiker/notebook-04c0bae892dac9d8a98a", "kernel_id": "65912"}, {"ref": "leventpeker/sf-crime-exploration", "kernel_id": "118912"}, {"ref": "dariastryuk/notebook-0b73623e95180dc020a3", "kernel_id": "64384"}, {"ref": "abellas/notebook-c233dcdfb63bbca9fe5e", "kernel_id": "63511"}, {"ref": "mkassoka/eda-and-classification-score-2-56180", "kernel_id": "65551"}, {"ref": "philippvgt/notebook-ab070698ae4a4b4ac519", "kernel_id": "64698"}, {"ref": "philippvgt/notebook-554c458bc723ef508bde", "kernel_id": "65601"}, {"ref": "philippvgt/notebook-38dcdcf37b345125e093", "kernel_id": "66911"}, {"ref": "philippvgt/notebook-a3b3701456ca8be94e4f", "kernel_id": "66525"}, {"ref": "philippvgt/notebook-7036c1690ebeb167dba5", "kernel_id": "66526"}, {"ref": "maxmaxmax/notebook-7970925ca8e639561f9a", "kernel_id": "64774"}, {"ref": "lennartxt/notebook-f0a902d93cbed2c72ece", "kernel_id": "65655"}, {"ref": "lennartxt/notebook-87d30d85e4748153a6f1", "kernel_id": "68042"}, {"ref": "lennartxt/notebook-870da62b36e746e12884", "kernel_id": "68045"}, {"ref": "lennartxt/notebook-a17532f104a2ebc9585c", "kernel_id": "68046"}, {"ref": "lennartxt/notebook-e01aadf6cea2b2f582aa", "kernel_id": "68054"}, {"ref": "lennartxt/notebook-469218666fbbc0bcb4c3", "kernel_id": "68055"}, {"ref": "lennartxt/data-visualization", "kernel_id": "68049"}, {"ref": "lennartxt/notebook-4406a0207ac0c310aab3", "kernel_id": "68057"}, {"ref": "lennartxt/notebook-6944688e008d0ef7d931", "kernel_id": "68058"}, {"ref": "lennartxt/notebook-07d486f13b2e355be187", "kernel_id": "68059"}, {"ref": "janthony13/notebook-2d91672a2826833eb6ee", "kernel_id": "65275"}, {"ref": "bohe2016/test-first", "kernel_id": "65411"}, {"ref": "christophmichel/exploring-and-visualizing-data", "kernel_id": "68115"}, {"ref": "praveen0989/notebook-d1e8c35321c0f8faeed0", "kernel_id": "68988"}, {"ref": "pengzeqiong/notebook-e9d337bdcc1952661c86", "kernel_id": "66211"}, {"ref": "fstolz/crime-hotspots-over-the-years", "kernel_id": "68798"}, {"ref": "cuky88/testd3", "kernel_id": "65673"}, {"ref": "bejota/sf-crime-wip", "kernel_id": "66153"}, {"ref": "bejota/notebook-383c69ecdf8ab1aa1123", "kernel_id": "66173"}, {"ref": "bejota/notebook-4fb97cc09a7a9a59274f", "kernel_id": "66661"}, {"ref": "bejota/notebook-241aaa91e9ff9ad2d320", "kernel_id": "67166"}, {"ref": "bejota/notebook-b0a2a15aac3a43658aee", "kernel_id": "67164"}, {"ref": "bejota/test-random-forest", "kernel_id": "66992"}, {"ref": "bejota/notebook-eda67099edbcb5d6a475", "kernel_id": "67718"}, {"ref": "bejota/notebook-8a051099ca3ee67d04da", "kernel_id": "67427"}, {"ref": "bejota/sf-crime-predict", "kernel_id": "67424"}, {"ref": "bejota/notebook-a9a32dfa4fd8c73cd94c", "kernel_id": "67425"}, {"ref": "dm0037/rf-test", "kernel_id": "69022"}, {"ref": "free4ever/notebooka3ad562120", "kernel_id": "121435"}, {"ref": "emsal1/test-script-please-ignore", "kernel_id": "66986"}, {"ref": "knowanswer/testete", "kernel_id": "68986"}, {"ref": "knowanswer/san-francisco-top-crimes-map", "kernel_id": "68982"}, {"ref": "knowanswer/testetsetsetset", "kernel_id": "68974"}, {"ref": "knowanswer/mapping-and-visualizing-violent-crime", "kernel_id": "68964"}, {"ref": "sdcsnliu/notebook-afe04924d764eaecc05d", "kernel_id": "67551"}, {"ref": "ali1988/naive-bayes", "kernel_id": "111670"}, {"ref": "ali1988/decision-tree", "kernel_id": "80278"}, {"ref": "vigneshm1994/notebook8b3dbfba8e", "kernel_id": "101155"}, {"ref": "anhmike/notebook-d6ae25b5ff122cb00e5d", "kernel_id": "67876"}, {"ref": "firstblood/notebook-1f26a32e03c0b3e20670", "kernel_id": "68764"}, {"ref": "fsotuyo/notebook-45c600b34294f00ccfc7", "kernel_id": "69068"}, {"ref": "smarcelino/naive-bayes", "kernel_id": "79839"}, {"ref": "smarcelino/obligatorio", "kernel_id": "77270"}, {"ref": "thilinapiyadasun/forked", "kernel_id": "85692"}, {"ref": "toferc/notebookc5d7816b05", "kernel_id": "115067"}, {"ref": "toferc/notebookba54438993", "kernel_id": "113317"}, {"ref": "weeeks/notebook-3061693503394191cbef", "kernel_id": "72685"}, {"ref": "weeeks/fi3-gritsiv-zadniprovska-shergin", "kernel_id": "72686"}, {"ref": "dguleria/kernel07fcad3d16", "kernel_id": "830135"}, {"ref": "dofollow/notebook-65d7c5d28d88fb04382a", "kernel_id": "80063"}, {"ref": "chleonhart/test-for-first", "kernel_id": "77900"}, {"ref": "aarshpatel/predict-crime-is-a-multilabel-task", "kernel_id": "80216"}, {"ref": "snetts/notebook-a0e1edc3760a2b011329", "kernel_id": "78943"}, {"ref": "snetts/notebook-8ac552edd3a9cad2c811", "kernel_id": "78906"}, {"ref": "snetts/notebook-ba95843ba1587bb7cd36", "kernel_id": "78680"}, {"ref": "snetts/notebook-2d9116d23bbb3180e14e", "kernel_id": "78714"}, {"ref": "snetts/data-understanding-sf-crime", "kernel_id": "78633"}, {"ref": "snetts/notebook-e164452d9510969fafd1", "kernel_id": "78644"}, {"ref": "snetts/notebook-cc83eeb1313a6bbe0343", "kernel_id": "78645"}, {"ref": "dixonhu/notebookb972d9f7ad", "kernel_id": "92232"}, {"ref": "a275909044/hello-everyone", "kernel_id": "96263"}, {"ref": "m2shad0w/predict-crime-is-a-multilabel-task", "kernel_id": "125247"}, {"ref": "m2shad0w/san-francisco-crime-classification", "kernel_id": "125258"}, {"ref": "qualcom/xgboost-crime-classification", "kernel_id": "103169"}, {"ref": "gouravg2/notebooke717e0f6f2", "kernel_id": "226902"}, {"ref": "haileyme/notebookf0e680e073", "kernel_id": "130315"}, {"ref": "maytryark/san-francisco-crime-classification", "kernel_id": "94651"}, {"ref": "maytryark/san-francisco-crime-classification-f27c3f1b", "kernel_id": "98424"}, {"ref": "nitinvijay23/predict-the-crime-category-knn-logistic", "kernel_id": "136060"}, {"ref": "topmemo/crime-1", "kernel_id": "187410"}, {"ref": "venkybuddy/predict-crime-is-a-multilabel-task", "kernel_id": "96464"}, {"ref": "gauravjindal2309/notebookb9904ed26a", "kernel_id": "171980"}, {"ref": "jungwon/notebook0951553138", "kernel_id": "103686"}, {"ref": "jungwon/notebookd15be01d6e", "kernel_id": "103668"}, {"ref": "jungwon/notebook9417758965", "kernel_id": "101532"}, {"ref": "jungwon/notebooka3893f917b", "kernel_id": "101463"}, {"ref": "ymao64/notebookd546739635", "kernel_id": "172951"}, {"ref": "jingbinxu/san-francisco-top-crimes-map", "kernel_id": "144396"}, {"ref": "mohitr/bar-charts-of-crime-data", "kernel_id": "549676"}, {"ref": "mohitr/interactive-maps-of-crime-data", "kernel_id": "552158"}, {"ref": "xieyufish/notebook9a27f6f2d4", "kernel_id": "124782"}, {"ref": "mahongfei516/notebook795960467c", "kernel_id": "128162"}, {"ref": "eros13/notebookb95bc2e180", "kernel_id": "137166"}, {"ref": "taoping222/sf-crime-1", "kernel_id": "110662"}, {"ref": "hengyueliu/test-random-forest", "kernel_id": "134005"}, {"ref": "majidkhemira/liblinear-score-2-5921-test", "kernel_id": "244767"}, {"ref": "pranaysuri/notebook4ca906d616", "kernel_id": "133904"}, {"ref": "pranaysuri/notebook5c974eea56", "kernel_id": "133670"}, {"ref": "unpeelledmangos/notebook6087ece92b", "kernel_id": "127990"}, {"ref": "tomernudel/san-francisco-crime-classification", "kernel_id": "117843"}, {"ref": "shrey1313/exploring-and-visualizing-data", "kernel_id": "120159"}, {"ref": "wangyihan/mapping-and-visualizing-violent-crime", "kernel_id": "161746"}, {"ref": "xiaoyao70v/notebook279aaa6c7e", "kernel_id": "130135"}, {"ref": "lesibius/first-try-on-kaggle-san-francisco-crime", "kernel_id": "128094"}, {"ref": "lesibius/crime-scene-exploration-and-model-fit", "kernel_id": "272667"}, {"ref": "lesibius/sf-null-model", "kernel_id": "277132"}, {"ref": "lesibius/knn-time-only", "kernel_id": "279459"}, {"ref": "lesibius/naive-bayes-time-only", "kernel_id": "279577"}, {"ref": "lesibius/svc-cross-validation", "kernel_id": "285238"}, {"ref": "lesibius/time-only-sv", "kernel_id": "284381"}, {"ref": "rpersd/xgboost-crime-classification", "kernel_id": "142667"}, {"ref": "analitiktosbaa/notebooke464fef2bb", "kernel_id": "131908"}, {"ref": "valencar/notebook397e64256f", "kernel_id": "242916"}, {"ref": "lhy1989/learning-san-francisco-crime-classification", "kernel_id": "176255"}, {"ref": "rxsingh/studying-time-v-s-day-by-category", "kernel_id": "177835"}, {"ref": "sanhivi/submission-crime", "kernel_id": "197214"}, {"ref": "sanhivi/crime-submission", "kernel_id": "197220"}, {"ref": "claudiopomo/visualize-san-francisco-crime", "kernel_id": "280825"}, {"ref": "bluezzz/notebook4560e3bff0", "kernel_id": "205379"}, {"ref": "nurika/notebook8169526284", "kernel_id": "211524"}, {"ref": "yamibn/notebook4524319d72", "kernel_id": "236006"}, {"ref": "jerrysong/target-test", "kernel_id": "240860"}, {"ref": "charangudla/mapping-and-visualizing-violent-crime", "kernel_id": "253527"}, {"ref": "kmt1602/notebook2baeb98907", "kernel_id": "216993"}, {"ref": "muhriddinuzb/notebook193ba88702", "kernel_id": "260511"}, {"ref": "moonpray/base-script-and-good-scoring", "kernel_id": "350940"}, {"ref": "shubjn/notebook2de7de2590", "kernel_id": "261855"}, {"ref": "manish1992/knowing-the-data", "kernel_id": "830719"}, {"ref": "john2195/notebook10a08d5c82", "kernel_id": "549782"}, {"ref": "abhimicro3/eda-of-san-francisco-crime-classification", "kernel_id": "873924"}, {"ref": "yousefzook/visualization-and-solving-with-several-models", "kernel_id": "911254"}, {"ref": "zhangnet/naive-bayes-methods", "kernel_id": "513555"}, {"ref": "zhangnet/naive-bayes", "kernel_id": "512515"}, {"ref": "zhangnet/random-forest-method-for-classifying-cirmes", "kernel_id": "515298"}, {"ref": "juliana2535/detectives-julamlo", "kernel_id": "525472"}, {"ref": "careyai/san-fran-crime", "kernel_id": "679552"}, {"ref": "kullapat/random-forest-model-prediction", "kernel_id": "922922"}, {"ref": "kullapat/knn-model-prediction", "kernel_id": "921215"}, {"ref": "kullapat/ann-sf-classification", "kernel_id": "944935"}, {"ref": "kullapat/naive-bayes-model-prediction", "kernel_id": "947931"}, {"ref": "kyalan/sf-crime-with-multinomial-logistic-model", "kernel_id": "1262611"}, {"ref": "ludi666/lr-300freatures", "kernel_id": "1720010"}, {"ref": "aurelienkd/final-projet-pinquier-mohamed-khefifderain", "kernel_id": "1200799"}, {"ref": "aurelienkd/les-crimes-sf", "kernel_id": "1188131"}, {"ref": "luisfredgs/classifica-o-de-crimes-em-san-fran-projeto-am", "kernel_id": "1980829"}, {"ref": "impratiksingh/sf-crime-classification-beginner-tutorial", "kernel_id": "1525349"}, {"ref": "mikelkn/san-francisco-crime-classification", "kernel_id": "1673277"}, {"ref": "aliomer/cmpe-343-rdf", "kernel_id": "1057963"}, {"ref": "rana220119/kernel3f31fb73c2", "kernel_id": "1827826"}, {"ref": "slashtea/crimes-part-1-eda", "kernel_id": "2518069"}, {"ref": "yannisp/sf-crime-analysis-prediction-base-model", "kernel_id": "2486446"}, {"ref": "yannisp/sf-crime-analysis-prediction", "kernel_id": "2558858"}, {"ref": "yannisp/sf-crime-analysis-prediction-naive-prediction", "kernel_id": "2567173"}, {"ref": "yannisp/sf-crime-analysis-prediction-optimiz-ex", "kernel_id": "2583945"}, {"ref": "mariagumbao/dashboarding-1-sf-restaurant-scores", "kernel_id": "2408958"}, {"ref": "extraordinarymind/sfo-crime-multi-class-algorithms", "kernel_id": "2768786"}, {"ref": "mohamedhedi009/fork-of-san-francisco-crime-classification-accu-26", "kernel_id": "2587813"}, {"ref": "mohamedhedi009/san-francisco-crime-classification-accu-26", "kernel_id": "2562204"}, {"ref": "hamzael1/sf-crimes-prediction-walkthrough-with-xgboost", "kernel_id": "3070507"}, {"ref": "shubham2306/crime-classification", "kernel_id": "3819428"}, {"ref": "heng8835/classification-with-ml-predict-crime-category", "kernel_id": "3789358"}, {"ref": "krishnarajut/san-francisco-crime-classification", "kernel_id": "3120916"}, {"ref": "ahmadelsayed/sf-crime-glm-binomial", "kernel_id": "3639395"}, {"ref": "ahmadelsayed/sf-crime-naive-bayes", "kernel_id": "3645709"}, {"ref": "ahmadelsayed/sf-crime-decision-tree", "kernel_id": "3645740"}, {"ref": "manaan/crime-classification-using-knn", "kernel_id": "3931982"}, {"ref": "junheo/sf-crime-rate-prediction", "kernel_id": "3174623"}, {"ref": "soofromkorea/20190416-suhyeon", "kernel_id": "3601777"}, {"ref": "khummel/san-fran-crime-classification", "kernel_id": "4359153"}, {"ref": "venktesh/kerneldcf6f8024e", "kernel_id": "4647642"}, {"ref": "fycher/sf-crimes-hackatinho-imers-o-em-ci-ncia-de-dados", "kernel_id": "4920991"}, {"ref": "shahkan/crime-classifier-for-san-francisco", "kernel_id": "4617358"}, {"ref": "cdf255/hackatinho", "kernel_id": "4924018"}, {"ref": "sjun4530/kernelae032cdfc5", "kernel_id": "4947125"}, {"ref": "wangbei/san-francisco-crime-classification", "kernel_id": "4293654"}, {"ref": "suvinlee/sanfran-note-0608", "kernel_id": "4071166"}, {"ref": "suvinlee/sanfran-0615-feature-note", "kernel_id": "4318763"}, {"ref": "jedu1025/kernel2c44e44ed7", "kernel_id": "4386716"}, {"ref": "hw5518/kernelb2dd708ce6", "kernel_id": "4387737"}, {"ref": "kinsha0226/kernel1e3381030b", "kernel_id": "4382698"}, {"ref": "kinsha0226/kernel8dd40a08a3", "kernel_id": "4382827"}, {"ref": "kyj9920/kernel0ba1e93d80", "kernel_id": "4393885"}, {"ref": "kyj9920/kernel2ea6797357", "kernel_id": "4393568"}, {"ref": "zethione/mapping-and-visualizing-violent-crime", "kernel_id": "4492911"}, {"ref": "xodud2881/xgboost-a", "kernel_id": "4363927"}, {"ref": "godeepdeep/clclclcl123", "kernel_id": "4389603"}, {"ref": "ouadio/mapping-and-visualizing-violent-crime", "kernel_id": "5993337"}, {"ref": "ouadio/predict-the-crime-category-knn-logistic", "kernel_id": "5993368"}, {"ref": "data13/crime-prediction-in-san-francisco", "kernel_id": "5051980"}, {"ref": "sjun4530/sf-crime-classification-hyper", "kernel_id": "5185623"}, {"ref": "sjun4530/crime-classification-basic", "kernel_id": "5185632"}, {"ref": "sjun4530/sf-crime-practice", "kernel_id": "5365573"}, {"ref": "suvinlee/sanfran-0808", "kernel_id": "5219657"}, {"ref": "rgoodman/sf-crime", "kernel_id": "6145423"}, {"ref": "guidosalimbeni/random-forest-crime-classification", "kernel_id": "6414280"}, {"ref": "werooring/san-francisco-crime-classification", "kernel_id": "6074393"}, {"ref": "seahur/crime-detection", "kernel_id": "6080549"}, {"ref": "dimple2801/kernel716f5771ac", "kernel_id": "6626888"}, {"ref": "scottmduda/sf-data-nn-v1", "kernel_id": "6821819"}, {"ref": "scottmduda/sf-crime-data-eda", "kernel_id": "6819918"}, {"ref": "michelmelo/san-francisco-crime", "kernel_id": "6338229"}, {"ref": "arina5566/kernel53a23db323", "kernel_id": "6611831"}, {"ref": "arina5566/3labbb", "kernel_id": "6750847"}, {"ref": "falloutfire/kernel1f0a4aa712", "kernel_id": "6749785"}, {"ref": "falloutfire/kernel56c95a593c", "kernel_id": "6572760"}, {"ref": "brodiaga/kernel78fd706815", "kernel_id": "6736666"}, {"ref": "graywolf113/kernel28617f8840", "kernel_id": "6839199"}, {"ref": "riyakothari/kernel582fdb3d33", "kernel_id": "7602564"}, {"ref": "riyakothari/kernel22cbbea13e", "kernel_id": "7590109"}, {"ref": "qiaoqiao123/have-try", "kernel_id": "7600561"}, {"ref": "pravinborate/san-francisco-crime-classification", "kernel_id": "7732924"}, {"ref": "vh1981/sf-crime-with-lgbm-bo", "kernel_id": "7908790"}, {"ref": "petersabry84/sfc-using-spark", "kernel_id": "7384771"}, {"ref": "fernandateixeira/classifica-o-de-crimes-em-sf-utilizando-knn", "kernel_id": "7345623"}, {"ref": "arina5566/3-labor", "kernel_id": "7086581"}, {"ref": "falloutfire/crime-test", "kernel_id": "7276041"}, {"ref": "doublepoi/a-nn-with-residual-v4", "kernel_id": "7928250"}, {"ref": "margarita1564685/kernel263abc3915", "kernel_id": "7795929"}, {"ref": "volodymyrholomb/sf-crimes-logregression-with-target-encoding", "kernel_id": "8074340"}, {"ref": "doublepoi/lightgbm-test-4", "kernel_id": "8074226"}, {"ref": "doublepoi/lightgbm-test-2", "kernel_id": "8068263"}, {"ref": "shinbg/san-francisco-crime-classification", "kernel_id": "8884844"}, {"ref": "tabikh/kernel378479132f", "kernel_id": "9349217"}, {"ref": "mohitsital/sf-crime-classification", "kernel_id": "9366350"}, {"ref": "smagni/kernel53874f9526", "kernel_id": "9513337"}, {"ref": "uiukaggle/sanfrancisco-crime-data-analysis", "kernel_id": "9673889"}, {"ref": "munmun2004/san-francisco-crime-classification", "kernel_id": "9991836"}, {"ref": "ruchirwalia/kernel53874f9526", "kernel_id": "9509936"}, {"ref": "tkisiga/san-francisco-crime-with-rf", "kernel_id": "10339080"}, {"ref": "seunghyunlee96/classification-sf-crime", "kernel_id": "10622084"}, {"ref": "subhojitsaha/kernel4f04d1da11", "kernel_id": "10482248"}, {"ref": "pranavmittal88/san-francisco", "kernel_id": "10740885"}, {"ref": "julianbenny/sf-crime", "kernel_id": "10911902"}, {"ref": "mindalatseoul/sanfransico-crime-prediction-eda-modeling", "kernel_id": "11315287"}, {"ref": "aloksahu7478/san-francisco-crime-data-classification-using-knn", "kernel_id": "11727187"}, {"ref": "teramera/kernel6716e7e815", "kernel_id": "11070170"}, {"ref": "anujjangra/kernel153a3c36d9", "kernel_id": "11094949"}, {"ref": "rahulpawade/san-francisco-crime-classification", "kernel_id": "11303554"}, {"ref": "streetlamb/ensemble-with-xgboost-and-random-forest", "kernel_id": "12200035"}, {"ref": "roohisharma/san-francisco-crime", "kernel_id": "12743102"}, {"ref": "savannahsewhee/juvenile-crime-in-san-francisco-2003-2015", "kernel_id": "12229003"}, {"ref": "swanawoo/sf-crime-v3", "kernel_id": "13854985"}, {"ref": "chachiawacef/data-preprocessing-san-francisco-crime", "kernel_id": "13756156"}, {"ref": "naokiyokoyama/crimes-sf", "kernel_id": "13913057"}, {"ref": "abhayraghuwanshi/crime-master-gogo", "kernel_id": "13325115"}, {"ref": "semenedel/notebook5982a0b143", "kernel_id": "13468451"}, {"ref": "arko007/neural-networks-sf-crime-classification", "kernel_id": "14776388"}, {"ref": "sejinsim/san-francisco-crime-classification-self", "kernel_id": "14590067"}, {"ref": "sanskrutighadipatil/san-fransisco-crime", "kernel_id": "14755950"}, {"ref": "dawool1218/crime-210201-ml-p", "kernel_id": "14515311"}, {"ref": "chasmo/sf-crime-analysis", "kernel_id": "15358942"}, {"ref": "danbiyoon/20210404-sanfrancisco-crime", "kernel_id": "15999781"}, {"ref": "xevator/notebook3f56133c01", "kernel_id": "15942904"}, {"ref": "subhamsagarpaira/beginners-neural-sfcrime", "kernel_id": "15168055"}, {"ref": "rohitjagirdar/beginners-neural-sfcrime", "kernel_id": "15673960"}, {"ref": "nishita17/san-francisco-crime-classification", "kernel_id": "15274450"}, {"ref": "dhawalsoni/sanfran", "kernel_id": "15359945"}, {"ref": "aruschakramm/girls-day", "kernel_id": "15744818"}, {"ref": "zizonpingu/sanfrancisco-crime-classification-20210419-v2", "kernel_id": "16324637"}, {"ref": "zizonpingu/sanfrancisco-crime-classification-20210412-v1", "kernel_id": "16168977"}, {"ref": "gonzalogarciafuste/sf-crime-classification-and-nice-graphics", "kernel_id": "16202599"}, {"ref": "marlenemertens/girls-day", "kernel_id": "16044066"}, {"ref": "toshiyaigs/eda-ver1", "kernel_id": "17694850"}, {"ref": "chromerai/san-francisco-crime-classification", "kernel_id": "17471337"}, {"ref": "aryaadesh/sf-crime", "kernel_id": "17775536"}, {"ref": "diyadodwad/notebook0a60656068", "kernel_id": "17110837"}, {"ref": "sachingupta2212/notebook94b90bf472", "kernel_id": "17323857"}, {"ref": "denimthangjam/san-francisco-crime", "kernel_id": "17850440"}, {"ref": "tomoyukiyamada0321/san-francisco-crime-classification-eda", "kernel_id": "17855662"}, {"ref": "kazuyasumatsudaf/sfcc-xgboost", "kernel_id": "17891562"}, {"ref": "sakshi0100/sanfrancisco-crime-keras", "kernel_id": "18029446"}, {"ref": "shivangi21/crime-tesorflow", "kernel_id": "18786274"}, {"ref": "shivangi21/crime-visualization", "kernel_id": "18779660"}, {"ref": "anu332/sf-crime-nn", "kernel_id": "18247041"}, {"ref": "tomoyukiyamada0321/sf-crime-prediction", "kernel_id": "18675920"}, {"ref": "kazuyasumatsudaf/teammatsu-m1", "kernel_id": "18447889"}, {"ref": "rajeshwaris/sanfrancisco-crime-classification", "kernel_id": "18824976"}, {"ref": "shayistamulla/san-francisco-crime-classification", "kernel_id": "18667151"}, {"ref": "prathikshabr/nn-crimeclassification-kaggleproject-8", "kernel_id": "18824937"}, {"ref": "keerthanamreddy/san-francisco-crime-classification", "kernel_id": "18785961"}, {"ref": "mrwarlord/sanfrancisco-crime-classification", "kernel_id": "18998399"}, {"ref": "tejasboss/san-fransisco-crime", "kernel_id": "19173834"}, {"ref": "nihap100/notebook547d4ae767", "kernel_id": "19373391"}, {"ref": "mgen2020/sanfrancrime", "kernel_id": "19253055"}, {"ref": "nitishputrevu/sfc-classification-pipeline-model-rf-regressor", "kernel_id": "19234105"}, {"ref": "gaurav126/qstp-crime-prediction", "kernel_id": "19361787"}, {"ref": "navidalazim/san-fransisco-crime-lightgbm", "kernel_id": "19191674"}, {"ref": "yashdamle/qstp-crime-classification", "kernel_id": "19359347"}, {"ref": "afrinamustofasharony/sfcrimeclassification", "kernel_id": "19222515"}, {"ref": "ani088/crimeclassification", "kernel_id": "19332034"}, {"ref": "anshulavinashe/sanfrancisco-crime-classification", "kernel_id": "19300486"}, {"ref": "shashankanand/notebookd3f2f2ae85", "kernel_id": "19357360"}, {"ref": "kartiksengupta/sanfcrime-stat", "kernel_id": "19300020"}, {"ref": "pvedant123/notebook6044b3f5d4", "kernel_id": "19312821"}, {"ref": "ganeshjshetty/san-francisco-crime-classification", "kernel_id": "19303440"}, {"ref": "rounakbhatia/notebook1d601eb7ea", "kernel_id": "19319641"}, {"ref": "sohann/notebook6d330d8342", "kernel_id": "19417570"}, {"ref": "bharathtvns/notebook92d5d5306c", "kernel_id": "19472045"}, {"ref": "deepaliseth/sanfrancisco-crime-classification", "kernel_id": "19364709"}, {"ref": "diyasinghal13/notebooka2761544bf", "kernel_id": "19256677"}, {"ref": "varunsimhareddy/sanfrancisco-crime-classification-varun", "kernel_id": "20486749"}, {"ref": "nikhiln2312/san-fransisco-crime", "kernel_id": "20427230"}, {"ref": "nourhanaboelsoaoud/nourhanwaleedfinalproject", "kernel_id": "21037261"}, {"ref": "mennaabdelmeguid/notebook", "kernel_id": "21797338"}, {"ref": "linaelduhemy/final-project-eme", "kernel_id": "21457413"}, {"ref": "mohamedalaa42017/san-francisco-crime-classification", "kernel_id": "22996437"}, {"ref": "flafuji/sf-crime-eda-model-explained", "kernel_id": "22571055"}, {"ref": "flafuji/sf-crime-eda-visualization-model-explained", "kernel_id": "22649957"}, {"ref": "svnsdhananjayreddy/san-francisco-crime-classification", "kernel_id": "22433737"}, {"ref": "henriqueweber/san-franscisco-crime", "kernel_id": "23340175"}, {"ref": "shinichioto/folium-and-other-visualization-models-etc", "kernel_id": "23863922"}, {"ref": "luckypen/san-francisco-crime-analysis", "kernel_id": "24463135"}, {"ref": "tilnariko/san-francisco-tika", "kernel_id": "24256296"}, {"ref": "georgesaavedra/san-francisco-crime-eda-classifier", "kernel_id": "25216305"}, {"ref": "mahtabezzati/san-francisco-crime-xgboost", "kernel_id": "27369665"}, {"ref": "bananawolf/random-forest-knn-logistic-regression", "kernel_id": "28866248"}, {"ref": "kemalfarukbaaran/sfcrime", "kernel_id": "29825044"}, {"ref": "mohammedbadway/sf-cr", "kernel_id": "30022376"}, {"ref": "xiefei/08-san-francisco-crime-classification-new", "kernel_id": "31620068"}, {"ref": "klyushnik/san-francisco-crimes-catboostclassifier", "kernel_id": "32129245"}, {"ref": "nikitazhilyakov/group-7", "kernel_id": "32974907"}, {"ref": "elabhe/random-forest-crime-classification", "kernel_id": "33410218"}, {"ref": "mstasyuk/sf-crime-0-1", "kernel_id": "34719603"}, {"ref": "zazaucd/san-fran-crime-and-data-statistics-zaur-gouliev", "kernel_id": "35657407"}, {"ref": "mkabhisek/crimeabhisek-143", "kernel_id": "35342264"}, {"ref": "maddiabhisek/crimeabhisek-143", "kernel_id": "35343877"}, {"ref": "maddiabhisek/crimeabhisek", "kernel_id": "35336854"}, {"ref": "jaichaudhrani/crime-jai", "kernel_id": "36639141"}, {"ref": "muhammedaslan00/crime-map", "kernel_id": "36683799"}, {"ref": "seongyeopchoi/crime-type", "kernel_id": "39967213"}, {"ref": "jacobnolandcyr/san-francisco-crime-xgboost", "kernel_id": "40706473"}, {"ref": "burakergene/sanfransisco-crime-k-means-w-display-on-map", "kernel_id": "42486260"}, {"ref": "christopherm777/crime-predictions", "kernel_id": "42596229"}, {"ref": "tarporamet/summary", "kernel_id": "45593864"}, {"ref": "smwares/sf-crime-xgboost-multi-class-classification", "kernel_id": "46104595"}, {"ref": "beneasterling/sf-crime-analysis-prediction-base-model", "kernel_id": "47483155"}, {"ref": "mattrubic/san-francisco-crime-classification", "kernel_id": "49511893"}, {"ref": "abhinavvvvvvvvvv/san-francisco-crime-classification", "kernel_id": "53981517"}, {"ref": "arshiyakishore/san-francisco-crime-classification", "kernel_id": "53967991"}, {"ref": "ishita1802/sf-crime-classification", "kernel_id": "54683135"}, {"ref": "alexandrarutenberg/crime-category-predictions", "kernel_id": "60673423"}, {"ref": "drmurataltun/san-francisco-crimes-catboostclassifier", "kernel_id": "60746414"}, {"ref": "robbylew/predicting-crime-categories-using-random-forest", "kernel_id": "61383198"}, {"ref": "jamessuryaputra/caught-black-handed", "kernel_id": "61114848"}, {"ref": "deepbdoshi/san-francisco-crime-classification", "kernel_id": "64886357"}, {"ref": "dreamonm/sanfransisco-crime-eda-baseline", "kernel_id": "67870549"}, {"ref": "twndus/sfcrime-eda", "kernel_id": "67917109"}, {"ref": "twndus/sf-crime-baseline-with-lgbm", "kernel_id": "67939036"}, {"ref": "bardoo/kel-6", "kernel_id": "67974168"}, {"ref": "jinchanggyu/notebookb35a73c95e", "kernel_id": "69493355"}, {"ref": "alperugurca/san-francisco-crime-classification", "kernel_id": "69522226"}, {"ref": "anji2705/sanfranciscocrime", "kernel_id": "69983180"}, {"ref": "zyh1104/005-san-francisco-crime-classification", "kernel_id": "71650806"}, {"ref": "namorkilokos/san-francisco-crime-classification", "kernel_id": "73046898"}, {"ref": "sandhyaavasthi/san-francisco-crime-prediction-machinelearning", "kernel_id": "81823714"}, {"ref": "mohamedbassat/san-fran-crime-data-mining", "kernel_id": "81745068"}, {"ref": "yoansadel/crime", "kernel_id": "82198831"}, {"ref": "yoansadel/crime-project", "kernel_id": "82273602"}, {"ref": "tedrosh/sanfranbini", "kernel_id": "83626972"}, {"ref": "tedrosh/sanfranfinal", "kernel_id": "83576690"}, {"ref": "tedrosh/notebook343a39bb3f", "kernel_id": "83570276"}, {"ref": "shuobin/san-francisco-crime-classification-to-upgrade", "kernel_id": "86333586"}, {"ref": "vedanshtyagi2451/crime-prediction-in-san-fransic-optuna-gpu-xgboost", "kernel_id": "88424151"}, {"ref": "daveli0813/sf-crime-classification-tree-svm2", "kernel_id": "91948381"}, {"ref": "navjotkaushal/san-francisco-crime-classification", "kernel_id": "91087155"}, {"ref": "deghilagenils/notebookf32c8e601c", "kernel_id": "112306680"}, {"ref": "michaelenoh/san-francisco-crime-classification", "kernel_id": "133904980"}]}
{"competition_id": "4459", "kernels": [{"ref": "benhamner/script-time-limit", "kernel_id": "11903"}, {"ref": "benhamner/igraph-added", "kernel_id": "17270"}, {"ref": "benhamner/gensim-now-installed", "kernel_id": "17072"}, {"ref": "benhamner/name-main-test", "kernel_id": "16720"}, {"ref": "benhamner/rdatasets-on-julia", "kernel_id": "5659"}, {"ref": "benhamner/hackathon-winners-random-allocation", "kernel_id": "46719"}, {"ref": "benhamner/libraries-demo", "kernel_id": "54296"}, {"ref": "benhamner/python-imports-demo", "kernel_id": "54303"}, {"ref": "benhamner/vef-1-appr", "kernel_id": "102389"}, {"ref": "benhamner/ggvis-test", "kernel_id": "76407"}, {"ref": "chefele/scripts-first-try", "kernel_id": "8062"}, {"ref": "chefele/primes-in-julia", "kernel_id": "8095"}, {"ref": "domcastro/breast-cancer-mutations-gene-cloud", "kernel_id": "8041"}, {"ref": "domcastro/hello-world-the-data-science-way", "kernel_id": "8148"}, {"ref": "domcastro/save-kaggle-word-cloud", "kernel_id": "13459"}, {"ref": "wcukierski/r-datasets", "kernel_id": "6772"}, {"ref": "wcukierski/are-you-a-data-scientist", "kernel_id": "5807"}, {"ref": "chipmonkey/simple-prime-seive-in-r", "kernel_id": "7892"}, {"ref": "n3n77i/count-julia", "kernel_id": "8511"}, {"ref": "n3n77i/biftest-julia", "kernel_id": "8539"}, {"ref": "drewyh/primetest", "kernel_id": "17212"}, {"ref": "drewyh/primetest-brief-version", "kernel_id": "17230"}, {"ref": "drewyh/multiprocess-prime", "kernel_id": "17243"}, {"ref": "amrshoof/helloworld", "kernel_id": "8144"}, {"ref": "josealberto/notebook-d48521e6917ad9a524eb", "kernel_id": "47163"}, {"ref": "aaronpolhamus/competition-metric-for-data-science-bowl", "kernel_id": "30089"}, {"ref": "hrasheed/test123", "kernel_id": "124906"}, {"ref": "datacanary/another-prime-sieve-in-python", "kernel_id": "8082"}, {"ref": "datacanary/test-scipy-mode", "kernel_id": "72429"}, {"ref": "fandekasp/notebook0496c33017", "kernel_id": "189330"}, {"ref": "iakolzin/notebookfda7e2e5c2", "kernel_id": "114106"}, {"ref": "oliverpaisley/test1", "kernel_id": "11075"}, {"ref": "hamelhusain/writeouttofile", "kernel_id": "78275"}, {"ref": "donteo/notebook-1ebaa70ada7115219d72", "kernel_id": "33610"}, {"ref": "donteo/testing-script", "kernel_id": "33612"}, {"ref": "donteo/digit-recognizer-softmax-regression", "kernel_id": "33617"}, {"ref": "donteo/bags-of-popcorn-word2vec", "kernel_id": "33618"}, {"ref": "manueldiaz/primepython", "kernel_id": "7989"}, {"ref": "svenski/tryingoutkagglescipts", "kernel_id": "8451"}, {"ref": "jimthompson/visualizing-kaggle-team-structures", "kernel_id": "13900"}, {"ref": "jimthompson/kaggle-competition-medal-count-analysis", "kernel_id": "13191"}, {"ref": "dserdyuk/julia-primes", "kernel_id": "10848"}, {"ref": "dserdyuk/test-script", "kernel_id": "10838"}, {"ref": "dserdyuk/paosihg", "kernel_id": "10843"}, {"ref": "dserdyuk/julia-parallel", "kernel_id": "10864"}, {"ref": "soumendra/generating-primes-fermat-s-trick", "kernel_id": "7812"}, {"ref": "soumendra/benchmarking-kaggle-1-vs-sqrt", "kernel_id": "7815"}, {"ref": "mrander/first-script", "kernel_id": "10660"}, {"ref": "uioreanu/multiple-histograms-with-ggplot", "kernel_id": "14581"}, {"ref": "jdeena/notebooka9ae10b33e", "kernel_id": "120212"}, {"ref": "jdeena/notebook987fdf7e66", "kernel_id": "96025"}, {"ref": "pvithayathil/first-script", "kernel_id": "116069"}, {"ref": "mikeskim/hash-strings-to-numeric", "kernel_id": "12567"}, {"ref": "mikeskim/map-at-k", "kernel_id": "17086"}, {"ref": "liubenyuan/time-series-and-anomaly-detection", "kernel_id": "14487"}, {"ref": "nkhuyu/which-version-of-python-is-installed", "kernel_id": "73104"}, {"ref": "nkhuyu/notebook-528365a161a763e6e30c", "kernel_id": "73105"}, {"ref": "nkhuyu/notebook-6664aa479f0464be82cf", "kernel_id": "73106"}, {"ref": "nkhuyu/notebook-7e33fbccbd1e917291e2", "kernel_id": "73107"}, {"ref": "jasontam/test-script", "kernel_id": "8336"}, {"ref": "zachwill/jitter-test-for-overfitting-notebook", "kernel_id": "21552"}, {"ref": "zachwill/notebook-3ea2046b32cf8c787411", "kernel_id": "21554"}, {"ref": "zachwill/notebook-d9428aededf6cc1be0fc", "kernel_id": "21555"}, {"ref": "zachwill/notebook-ae40ee10f6b998c03c1c", "kernel_id": "21556"}, {"ref": "zachwill/notebook-135673c0dff407252bd5", "kernel_id": "21557"}, {"ref": "zachwill/notebook-c74820d8b79154660517", "kernel_id": "21558"}, {"ref": "sahildahiya/connected-particles-iii-bl-ocks", "kernel_id": "12186"}, {"ref": "sdanaipat/testt", "kernel_id": "7819"}, {"ref": "sdanaipat/prime", "kernel_id": "7863"}, {"ref": "tdevries/generating-primes-for-real-this-time", "kernel_id": "7766"}, {"ref": "scasca/notebook6aa961ad6d", "kernel_id": "221285"}, {"ref": "pydatasci/hello-scripts", "kernel_id": "13844"}, {"ref": "tinaungkhine/notebooke9f2014f1d", "kernel_id": "124965"}, {"ref": "rushi245/rushi", "kernel_id": "215646"}, {"ref": "rushi245/notebook3d7d26c6b7", "kernel_id": "215643"}, {"ref": "mattjensen/test-002", "kernel_id": "34371"}, {"ref": "lateriser/gcd-in-python", "kernel_id": "7935"}, {"ref": "triskelion/compresserator", "kernel_id": "13898"}, {"ref": "triskelion/connected-particles-iii-bl-ocks", "kernel_id": "7777"}, {"ref": "srujalsk/test1-1", "kernel_id": "17957"}, {"ref": "timdockins/sample-r-on-houston-flights", "kernel_id": "16505"}, {"ref": "kchanc/sample", "kernel_id": "92990"}, {"ref": "jerrytseng/notebook295937e44d", "kernel_id": "187916"}, {"ref": "estevedelacebo/prova-py", "kernel_id": "17934"}, {"ref": "kglfaisal/notebook-28a56de4acf1ff0022dd", "kernel_id": "56044"}, {"ref": "kglfaisal/notebook-ecefdd596f02d44a2747", "kernel_id": "55717"}, {"ref": "kglfaisal/myfirstkagglescript", "kernel_id": "55718"}, {"ref": "saswatpadhi/python-sieve-48m-primes-in-4-sec", "kernel_id": "13958"}, {"ref": "sidraina89/iris-pilot", "kernel_id": "11721"}, {"ref": "linqianli/hello-world-in-bytecode", "kernel_id": "8318"}, {"ref": "edwinhe/notebook-34f9d42caabc76b1f473", "kernel_id": "46515"}, {"ref": "nagadomi/list-of-installed-packages", "kernel_id": "18285"}, {"ref": "maitreyeepalglobal/notebookca47511462", "kernel_id": "232902"}, {"ref": "justmarkham/introduction-to-dplyr-part-2", "kernel_id": "6770"}, {"ref": "justmarkham/introduction-to-dplyr-part-1", "kernel_id": "6766"}, {"ref": "andreasgertschgrover/notebook-941c22535b98d56fde0e", "kernel_id": "23840"}, {"ref": "andreasgertschgrover/notebook-e9bb64ab97844811955a", "kernel_id": "23984"}, {"ref": "andreasgertschgrover/notebook-7ab31baa395c68a00a35", "kernel_id": "23632"}, {"ref": "khoroshenkikh/helloworld", "kernel_id": "13572"}, {"ref": "toshik/circlize", "kernel_id": "7865"}, {"ref": "toshik/splines-with-r", "kernel_id": "8754"}, {"ref": "ashishrane/average-heights-and-weights-for-american", "kernel_id": "7944"}, {"ref": "niklosb/testing-this-stuff", "kernel_id": "8636"}, {"ref": "zscansorted/testing-out", "kernel_id": "93579"}, {"ref": "jeffhebert/cross-validated-random-forest-in-r", "kernel_id": "8237"}, {"ref": "xuanchong/test-py", "kernel_id": "10181"}, {"ref": "jamesdlawrence/hello-world-from-recursive-regexes-ii", "kernel_id": "12521"}, {"ref": "jamesdlawrence/hello-world-including-a-brainf-compiler", "kernel_id": "12637"}, {"ref": "jamesdlawrence/2-stage-sieve-of-eratosthenes-r", "kernel_id": "8147"}, {"ref": "jamesdlawrence/hello-world-from-recursive-regexes", "kernel_id": "8168"}, {"ref": "jamesdlawrence/hello-world-from-random-numbers", "kernel_id": "7975"}, {"ref": "jamesdlawrence/fast-sieve-of-eratosthenes-r", "kernel_id": "7993"}, {"ref": "lalitapatel/earthquake-attenuation", "kernel_id": "17793"}, {"ref": "tushitjain/mytest", "kernel_id": "217474"}, {"ref": "feirie/script-test", "kernel_id": "17849"}, {"ref": "renegarxia/random-sample-py", "kernel_id": "71923"}, {"ref": "analyticsbynick/notebook-6be792c9c21dc1da7374", "kernel_id": "38222"}, {"ref": "patelmm/print", "kernel_id": "222445"}, {"ref": "amansinghal/test-script", "kernel_id": "11159"}, {"ref": "vincentrusso/first-test", "kernel_id": "64755"}, {"ref": "asubtlemind/dplyr-on-my-own", "kernel_id": "8494"}, {"ref": "tanitter/grid-search-xgboost-with-scikit-learn", "kernel_id": "8000"}, {"ref": "strategist/testscript", "kernel_id": "17017"}, {"ref": "nopliza/notebook-5b7ff6d1298f262f349c", "kernel_id": "22835"}, {"ref": "nopliza/notebook-517956f0ecd6ffddcb2c", "kernel_id": "22931"}, {"ref": "nopliza/notebook-89af7f471269697a33e3", "kernel_id": "22738"}, {"ref": "nopliza/notebook-b83ccb910dee71c53df1", "kernel_id": "22684"}, {"ref": "nopliza/jitter-test-for-overfitting-notebook", "kernel_id": "21611"}, {"ref": "nopliza/notebook-9b5ada7fa91d8e6a4898", "kernel_id": "21831"}, {"ref": "nopliza/notebook-e96e6c881614e9109537", "kernel_id": "22232"}, {"ref": "khyh00/xkcd-style-test", "kernel_id": "16287"}, {"ref": "khyh00/kaggle-script-test", "kernel_id": "15301"}, {"ref": "khyh00/html-output-template", "kernel_id": "18144"}, {"ref": "simorgh1/notebookeca3a59b5a", "kernel_id": "165416"}, {"ref": "simorgh1/mytest", "kernel_id": "165419"}, {"ref": "evaxue/script-try", "kernel_id": "72263"}, {"ref": "evaxue/notebook2f2801d3a6", "kernel_id": "280669"}, {"ref": "dmanchon/test001", "kernel_id": "18330"}, {"ref": "codebender/which-version-of-python-is-installed", "kernel_id": "9865"}, {"ref": "miniushkin/notebook-84537c924a5ef2f6f9b8", "kernel_id": "21262"}, {"ref": "miniushkin/jitter-test-for-overfitting-notebook", "kernel_id": "20786"}, {"ref": "miniushkin/jitter-test-for-overfitting", "kernel_id": "18102"}, {"ref": "jiezou/test-scripting", "kernel_id": "136894"}, {"ref": "evanoman/hello-kaggle", "kernel_id": "14800"}, {"ref": "evanoman/title2", "kernel_id": "16380"}, {"ref": "abhatnag/notebook4e08afbf52", "kernel_id": "213991"}, {"ref": "tsimokhin/prime-try-with-sieve-of-sundaram", "kernel_id": "10293"}, {"ref": "sugh93/notebook7f33db806c", "kernel_id": "105698"}, {"ref": "michalthedude/kaggle-users-by-location", "kernel_id": "8056"}, {"ref": "carloshuertas/hello-world-with-js-approach-2", "kernel_id": "7785"}, {"ref": "carloshuertas/hello-world-python", "kernel_id": "7787"}, {"ref": "carloshuertas/hello-world-with-js", "kernel_id": "7781"}, {"ref": "carloshuertas/kaggle-users-by-location-data-only", "kernel_id": "22920"}, {"ref": "ritesh256/testing", "kernel_id": "17935"}, {"ref": "bhoopalpadmanabhan/notebookacb3b4d4d3", "kernel_id": "191628"}, {"ref": "sanghan/sieve", "kernel_id": "17472"}, {"ref": "esthersc/helloword-py", "kernel_id": "236284"}, {"ref": "sanjeevmk/notebook-53cad29418fe5c1a74c2", "kernel_id": "45081"}, {"ref": "nealbouwman/fork-of-first-script", "kernel_id": "87969"}, {"ref": "melanxoluk/map-at-k", "kernel_id": "18075"}, {"ref": "ajulian/notebook0c2813cc87", "kernel_id": "176021"}, {"ref": "bradyjm1/primes", "kernel_id": "8189"}, {"ref": "bradyjm1/oddprimes", "kernel_id": "8204"}, {"ref": "bradyjm1/primes2", "kernel_id": "8193"}, {"ref": "bradyjm1/helloworld", "kernel_id": "10075"}, {"ref": "dkvale/r-plot", "kernel_id": "10371"}, {"ref": "harshratde/chkk12", "kernel_id": "193933"}, {"ref": "jgutierrez/helloworld", "kernel_id": "96868"}, {"ref": "cheral/abcky", "kernel_id": "175895"}, {"ref": "sumendar/notebooke3825761d6", "kernel_id": "219376"}, {"ref": "boyanangelov/rossmann-sales", "kernel_id": "19188"}, {"ref": "kotomord/200-000-primes-without-division", "kernel_id": "8713"}, {"ref": "kotomord/primes-with-heap", "kernel_id": "9909"}, {"ref": "kotomord/prime-pq-c", "kernel_id": "9921"}, {"ref": "yiqingcai/testing-linear-model", "kernel_id": "11591"}, {"ref": "mylesoneill/normalized-kaggle-medal-count-by-country", "kernel_id": "13517"}, {"ref": "claudiaann1/my-first-script", "kernel_id": "16207"}, {"ref": "orphefs/notebook01b28fa4bf", "kernel_id": "166191"}, {"ref": "orphefs/hr-analytics", "kernel_id": "166194"}, {"ref": "michaelbroughton/soe-with-numpy", "kernel_id": "7897"}, {"ref": "wildwizard/python-sieve-48m-primes-in-4-sec", "kernel_id": "16443"}, {"ref": "ygolub/notebooke027829062", "kernel_id": "238039"}, {"ref": "nzw0301/my-first-julia-script", "kernel_id": "8141"}, {"ref": "storckpost/take-2", "kernel_id": "13726"}, {"ref": "kiavad/notebook0476753ee5", "kernel_id": "114466"}, {"ref": "thedatascienceguy/notebook3453b3546d", "kernel_id": "227118"}, {"ref": "shaoyuan/notebookea4d1e2675", "kernel_id": "178682"}, {"ref": "ilovesolder/hello-world", "kernel_id": "12747"}, {"ref": "ilovesolder/titanic-rf-python", "kernel_id": "12748"}, {"ref": "wishfulsaint/notebook-eb9769ed9df4d25e2a67", "kernel_id": "35396"}, {"ref": "prakashanand/demo-1-1", "kernel_id": "10260"}, {"ref": "ikarosilva/estimating-the-performance-limits-of-competitions", "kernel_id": "235140"}, {"ref": "darkpseudo/test-1", "kernel_id": "10254"}, {"ref": "donutboy/notebook81777be431", "kernel_id": "214892"}, {"ref": "donutboy/notebookc26294ced7", "kernel_id": "214894"}, {"ref": "agemoo/r-tests", "kernel_id": "14065"}, {"ref": "owise83/introduction-to-dplyr-part-1", "kernel_id": "13672"}, {"ref": "joseluso/dplyr", "kernel_id": "11732"}, {"ref": "npr251/hello-world", "kernel_id": "13257"}, {"ref": "ankitg/randomforest", "kernel_id": "10094"}, {"ref": "attila007/notebook602df2651f", "kernel_id": "93427"}, {"ref": "amybourbon/julia", "kernel_id": "38499"}, {"ref": "themug/mugi-s-first-python-script", "kernel_id": "10266"}, {"ref": "hughbrien/pythonhelloworld", "kernel_id": "8344"}, {"ref": "yzadoya/notebook-5d92651c413aa0dfedae", "kernel_id": "62812"}, {"ref": "phinatic/experiment", "kernel_id": "8620"}, {"ref": "boriskr/200-000-primes-without-division", "kernel_id": "8720"}, {"ref": "yeze322/primes-sieve-in-python-26m-in-10-sec", "kernel_id": "9891"}, {"ref": "andreacirilloac/first", "kernel_id": "9956"}, {"ref": "erannoux/trees-paris", "kernel_id": "14537"}, {"ref": "erannoux/testdplyr", "kernel_id": "14515"}, {"ref": "rspeare/notebook-065aa699113dc11d5c36", "kernel_id": "24139"}, {"ref": "santtz/dqueue", "kernel_id": "10810"}, {"ref": "gffcoutinho/notebook-3325a81fed4ddd4b49a1", "kernel_id": "20638"}, {"ref": "gffcoutinho/notebook-a6525f2085a91edd30e5", "kernel_id": "20639"}, {"ref": "jdpaletto/test1", "kernel_id": "101144"}, {"ref": "azubiolo/test-py", "kernel_id": "11874"}, {"ref": "fikre1/notebook-e0e4559ff07119e777ff", "kernel_id": "47269"}, {"ref": "tony31/prueba-1", "kernel_id": "18225"}, {"ref": "andersnb/test1", "kernel_id": "17637"}, {"ref": "timverheyden/hello-world", "kernel_id": "12163"}, {"ref": "laslala/notebookba6b742c5b", "kernel_id": "164551"}, {"ref": "rupashah/notebook5ccf056563", "kernel_id": "164595"}, {"ref": "rshef10/testtest", "kernel_id": "34621"}, {"ref": "skiaaa/testt", "kernel_id": "17308"}, {"ref": "skiaaa/testsq", "kernel_id": "17310"}, {"ref": "dataminingpeev/r-datasets", "kernel_id": "13338"}, {"ref": "mposcablo/test-script", "kernel_id": "16403"}, {"ref": "datazeus/hello-world-i-am-zeus", "kernel_id": "141177"}, {"ref": "gaggin/magic-benford-s-law-on-ratio-of-two-uni", "kernel_id": "17088"}, {"ref": "neil77/list-of-installed-packages", "kernel_id": "143608"}, {"ref": "scottmcclure/hello-world", "kernel_id": "16747"}, {"ref": "prashant9004/test1", "kernel_id": "16844"}, {"ref": "dujekmancin/python-sieve-48m-primes-in-4-sec", "kernel_id": "52767"}, {"ref": "peterwidmer/my-hello-world", "kernel_id": "17022"}, {"ref": "yibing/notebookedafd2f1db", "kernel_id": "140764"}, {"ref": "lukasthum/hellor", "kernel_id": "17116"}, {"ref": "syfly7/test1", "kernel_id": "17198"}, {"ref": "kanatbekt/prime-sieves", "kernel_id": "17506"}, {"ref": "satyaprakashnayak/test-rmarkdown-rmd", "kernel_id": "17525"}, {"ref": "aiijoe/notebook-857788d37139743f38f2", "kernel_id": "59012"}, {"ref": "xtremboot22/copied", "kernel_id": "18855"}, {"ref": "xtremboot22/present", "kernel_id": "18856"}, {"ref": "wchensf/fash-mnist-test", "kernel_id": "245882"}, {"ref": "duskapoljak/notebook-64e267b99fbe00e77d43", "kernel_id": "33045"}, {"ref": "duskapoljak/sample-size-exploration-in-controlled-ex", "kernel_id": "33046"}, {"ref": "duskapoljak/notebook-670cc2b7625fa02b16da", "kernel_id": "33059"}, {"ref": "duskapoljak/notebook-ae23e32ded8327f93c8c", "kernel_id": "33056"}, {"ref": "duskapoljak/ab-testing-test-power-and-sample-sizes", "kernel_id": "96961"}, {"ref": "sandeeppatra/titanic-disaster", "kernel_id": "118458"}, {"ref": "vsalekin/notebook-1889f87f65bcb70e642b", "kernel_id": "24609"}, {"ref": "alexeylive/notebook-3ce047dbe8aa74994250", "kernel_id": "80749"}, {"ref": "alexeylive/which-version-of-python-is-installed", "kernel_id": "35029"}, {"ref": "denisnavitniy/notebook-f60cfdefd5fcf75d6ffd", "kernel_id": "35897"}, {"ref": "ntdefreitas/testing-kaggle-scripts", "kernel_id": "46079"}, {"ref": "ntdefreitas/testing-scripts", "kernel_id": "46080"}, {"ref": "rajeshwerkushwaha/analysis-on-baby-names-over-130-years", "kernel_id": "60962"}, {"ref": "davidalbertbrewer/notebook7ee2992342", "kernel_id": "129246"}, {"ref": "jchenstat/notebookdcffe4e0ac", "kernel_id": "177561"}, {"ref": "darioromero/notebook4d5c1d1204", "kernel_id": "99464"}, {"ref": "aalinazar/notebook-10e5c88286dfa96034b7", "kernel_id": "21983"}, {"ref": "iloopy/testing", "kernel_id": "23022"}, {"ref": "cimadure/jitter-test-for-overfitting-notebook", "kernel_id": "26478"}, {"ref": "colemaclean/notebookeb7e23399c", "kernel_id": "188793"}, {"ref": "lwkuant/notebook8ae6623015", "kernel_id": "208254"}, {"ref": "wyasuda/temp-script", "kernel_id": "211922"}, {"ref": "wyasuda/notebookccba034ffd", "kernel_id": "211923"}, {"ref": "jppineda/notebooke9d5b8f1d7", "kernel_id": "191543"}, {"ref": "sudipta2015/abcdef", "kernel_id": "26886"}, {"ref": "wanglingdeemo/which-version-of-python-is-installed", "kernel_id": "28062"}, {"ref": "jac812i/notebook0ed40a3a3c", "kernel_id": "97005"}, {"ref": "polandru/kernel-test", "kernel_id": "145536"}, {"ref": "bigpata/test1gettingused", "kernel_id": "72611"}, {"ref": "farazfaruqi/runnning-a-sample-code", "kernel_id": "198730"}, {"ref": "ivovkanych/vef-1-appr", "kernel_id": "102316"}, {"ref": "patternproject/notebook-c8d8ebfcd9f6829eda17", "kernel_id": "40642"}, {"ref": "starwar/notebook-5cc906b84a6d97535a27", "kernel_id": "70919"}, {"ref": "starwar/trial", "kernel_id": "70921"}, {"ref": "starwar/notebook-a878a8b66792281b2e09", "kernel_id": "70922"}, {"ref": "ishaanv/notebook61747facc8", "kernel_id": "112860"}, {"ref": "badmbadmbadmbadmbadm/notebook-701ec8cf02742106b6bd", "kernel_id": "30536"}, {"ref": "badmbadmbadmbadmbadm/notebook-2427e6d0c661fcd742d1", "kernel_id": "30540"}, {"ref": "badmbadmbadmbadmbadm/notebook-ee6e90eb7d39ee638315", "kernel_id": "30541"}, {"ref": "badmbadmbadmbadmbadm/notebook-45df040804d453ba306d", "kernel_id": "30542"}, {"ref": "badmbadmbadmbadmbadm/badmbadmbadmbadmbadm", "kernel_id": "30538"}, {"ref": "angelico/notebook-1db257c9f06979623b35", "kernel_id": "32208"}, {"ref": "angelico/rteamkaggle", "kernel_id": "32211"}, {"ref": "sq131510/notebook-cda03a18c8cf78a2745f", "kernel_id": "42801"}, {"ref": "arnavkj95/notebookcdc7163245", "kernel_id": "207960"}, {"ref": "elliandjelly/notebook-d5e4a17ad833979cad84", "kernel_id": "33551"}, {"ref": "malloryb/testing", "kernel_id": "81815"}, {"ref": "xfsnowind/testtest", "kernel_id": "33891"}, {"ref": "zliang/notebookdcb0d04a53", "kernel_id": "193231"}, {"ref": "armanjupriya/notebook809fdab868", "kernel_id": "267006"}, {"ref": "bharathsivaraman/notebook-7244fe53e992019175e8", "kernel_id": "47158"}, {"ref": "mepotts/notebook-2b48e8e1763a0cd0e223", "kernel_id": "67855"}, {"ref": "alanjbarber/alanbarber", "kernel_id": "39587"}, {"ref": "auzyze/notebook-1aeef3b24cb5706f21ec", "kernel_id": "56645"}, {"ref": "cjaganmohan/notebook-6df8e2c58b7e45314b2f", "kernel_id": "38876"}, {"ref": "hcljas/notebook-fbfb8f31baac1bf8a7df", "kernel_id": "40815"}, {"ref": "nitinkaushik/myfirstscriptonkaggle", "kernel_id": "85242"}, {"ref": "rahulryan/practice-svm-in-r", "kernel_id": "158500"}, {"ref": "blargl/notebookb069978c72", "kernel_id": "189866"}, {"ref": "blargl/list-of-installed-packages", "kernel_id": "184308"}, {"ref": "gravity226/hello-kaggle", "kernel_id": "80376"}, {"ref": "valtonis/123test", "kernel_id": "46439"}, {"ref": "galenyates/testing", "kernel_id": "151768"}, {"ref": "justinhsu/purely-a-test", "kernel_id": "73283"}, {"ref": "dariyush/notebook-8d92ba3a9c357249855f", "kernel_id": "62706"}, {"ref": "dariyush/telstra-network-disruptions", "kernel_id": "62694"}, {"ref": "dariyush/notebook-91fc3e6de4882a7b582d", "kernel_id": "62695"}, {"ref": "dariyush/notebook-e71b538b22f1f86bb2e2", "kernel_id": "62691"}, {"ref": "dariyush/notebook-eef62d5c068009ef39ea", "kernel_id": "62692"}, {"ref": "ericwbzhang/notebooke50fd4dc4c", "kernel_id": "91326"}, {"ref": "joydeepbhattacharjee/exploring-suicides-in-india-using-google-facets", "kernel_id": "368063"}, {"ref": "mc100346460/notebook68af265380", "kernel_id": "225519"}, {"ref": "gasior/notebookf46454d768", "kernel_id": "121225"}, {"ref": "juanmalorenzo/20160907-bosch-01", "kernel_id": "94895"}, {"ref": "jitender786/notebookd471434fa1", "kernel_id": "165537"}, {"ref": "nathanz/just-trying", "kernel_id": "69907"}, {"ref": "stuffypuppy/notebook-bd40e75883afbde5589e", "kernel_id": "67860"}, {"ref": "stuffypuppy/notebook-3d1ad2c336938ecd6ab7", "kernel_id": "67861"}, {"ref": "stuffypuppy/notebook-f303eae79e5dbcccbf69", "kernel_id": "67862"}, {"ref": "tushagup99/notebook0371584724", "kernel_id": "231492"}, {"ref": "srfsci/notebook-ea7195ecb2eea2ac4dc1", "kernel_id": "80450"}, {"ref": "nickwong64/notebook-96194364f4556338d2cf", "kernel_id": "68753"}, {"ref": "xavier268/myfirstscript", "kernel_id": "80065"}, {"ref": "akalyaraj7/hr-analytics", "kernel_id": "215484"}, {"ref": "akalyaraj7/notebook2c84a702d0", "kernel_id": "215486"}, {"ref": "pedroretes/notebook-8b3225d283e2d55ec181", "kernel_id": "72658"}, {"ref": "korakot/hello-world", "kernel_id": "218179"}, {"ref": "barthessimpson/notebook-57dd7c29af67f98a1db7", "kernel_id": "70705"}, {"ref": "barthessimpson/first-script", "kernel_id": "70707"}, {"ref": "slarlar/notebook-9edb79f96bedd3f99566", "kernel_id": "77169"}, {"ref": "rrr4747/notebook420c938f78", "kernel_id": "89868"}, {"ref": "jarmopih/testi", "kernel_id": "89335"}, {"ref": "mrp031654/first-kernel", "kernel_id": "86513"}, {"ref": "hhfengk/test1", "kernel_id": "125991"}, {"ref": "feshch/notebookb58b1512ea", "kernel_id": "110989"}, {"ref": "hugomathien/notebook-802fee1f3a4926017245", "kernel_id": "78694"}, {"ref": "ashutosh3197/jitter-test-for-overfitting-notebook", "kernel_id": "97965"}, {"ref": "xxorg3/test1", "kernel_id": "151425"}, {"ref": "xxorg3/notebookf686bf7e6d", "kernel_id": "151435"}, {"ref": "shubham15/notebook-21f2f0e53b9c99e69c97", "kernel_id": "80092"}, {"ref": "shubham15/testing-this-out", "kernel_id": "80094"}, {"ref": "luisapires/testdata", "kernel_id": "240847"}, {"ref": "doodle131/notebookfa8dbf02bb", "kernel_id": "150012"}, {"ref": "mssumrani/notebook-676d52701edefbba569f", "kernel_id": "84072"}, {"ref": "mleafer/enron-fraud-detection-ensembles", "kernel_id": "86223"}, {"ref": "notthemessiah/notebooka980b20a9d", "kernel_id": "87537"}, {"ref": "haojie/fristscript", "kernel_id": "107827"}, {"ref": "serispas/google-directions-api-dailycommute-data-scraping", "kernel_id": "107100"}, {"ref": "bytekiller/notebook62e305f77a", "kernel_id": "95980"}, {"ref": "a793620101/notebook9ed2aa5819", "kernel_id": "162182"}, {"ref": "a793620101/notebook55c874fb0c", "kernel_id": "162183"}, {"ref": "bharath4246/notebook834dc14c51", "kernel_id": "96259"}, {"ref": "bharath4246/notebookca5b24d4aa", "kernel_id": "95621"}, {"ref": "bharath4246/notebook8c6d5e8d74", "kernel_id": "95908"}, {"ref": "abhiram7/notebook087f2866f1", "kernel_id": "102769"}, {"ref": "kiy101/firsttest", "kernel_id": "109907"}, {"ref": "pinliuc/testcode", "kernel_id": "105196"}, {"ref": "heathmccasland/hw2rmd", "kernel_id": "251919"}, {"ref": "usamai/script-1", "kernel_id": "104742"}, {"ref": "schmdh/notebooke14ccfc907", "kernel_id": "156299"}, {"ref": "lzhang18/notebookcb5cc18ab4", "kernel_id": "111727"}, {"ref": "arthurtok/planetary-gearing-w-d3-js", "kernel_id": "264178"}, {"ref": "arthurtok/fractal-dimensions-of-world-coastlines", "kernel_id": "371326"}, {"ref": "arthurtok/newton-fractal", "kernel_id": "114193"}, {"ref": "msugimura/notebookb7c294c90c", "kernel_id": "120425"}, {"ref": "piyushdugar13/forest-practice", "kernel_id": "121399"}, {"ref": "lisun2015/notebookcf8551df22", "kernel_id": "248801"}, {"ref": "danamorim/notebook-test", "kernel_id": "101092"}, {"ref": "drwhohu/reading-png-picture-in-r", "kernel_id": "175228"}, {"ref": "dstromae/test-mcc", "kernel_id": "154404"}, {"ref": "namdori61/notebookde7cd5375a", "kernel_id": "212171"}, {"ref": "pradeepchappidi/notebook9aec28c09b", "kernel_id": "229462"}, {"ref": "jacksonhuang/runme", "kernel_id": "117683"}, {"ref": "jonnyevans/tensorflow-fun", "kernel_id": "130183"}, {"ref": "ed25519/code-taken-from-xkcd-examples-showcase-xkcd-html", "kernel_id": "107622"}, {"ref": "levi93/firstscript", "kernel_id": "223794"}, {"ref": "salmanbhai/notebook3d297122d0", "kernel_id": "158289"}, {"ref": "sazedul/notebook1b3265e8ce", "kernel_id": "130910"}, {"ref": "peterwittek/listing-installed-python-packages", "kernel_id": "151593"}, {"ref": "apoorvsaxena/notebook3b73de411e", "kernel_id": "111525"}, {"ref": "srinivasarajui/srini-s-r-titanic-solution", "kernel_id": "112743"}, {"ref": "ericlo/first-script", "kernel_id": "118420"}, {"ref": "abhishekdas1990/notebook56e735b249", "kernel_id": "225568"}, {"ref": "andrewwang7/tensorflow-test", "kernel_id": "218117"}, {"ref": "danbooth/testing", "kernel_id": "122545"}, {"ref": "jsfloch/notebook63a7b13883", "kernel_id": "246047"}, {"ref": "rcontesti/data-science-bowl-try", "kernel_id": "258004"}, {"ref": "seanpar203/hello-world", "kernel_id": "129049"}, {"ref": "seanpar203/notebookc6ca9d0e27", "kernel_id": "129073"}, {"ref": "akshaytrivedi/notebook61bbcf5f41", "kernel_id": "204725"}, {"ref": "jbunker/test-script", "kernel_id": "171390"}, {"ref": "zuiu010/notebook08dff50bb2", "kernel_id": "215884"}, {"ref": "zuiu010/notebook8a55dc05e2", "kernel_id": "215885"}, {"ref": "erikbebernes/notebookaeaf7f0ff0", "kernel_id": "162080"}, {"ref": "erikbebernes/notebook17e53a65af", "kernel_id": "162655"}, {"ref": "erikbebernes/notebook564566d2fb", "kernel_id": "162659"}, {"ref": "praveenpenta/house-price-prediction-using-linear-regression", "kernel_id": "247406"}, {"ref": "nielknetraam/nielk-first-test", "kernel_id": "142077"}, {"ref": "sparsh300/notebook43790d3417", "kernel_id": "163012"}, {"ref": "kperry/notebook17cccefaa4", "kernel_id": "146953"}, {"ref": "johanvermeire/quotationmarks", "kernel_id": "163596"}, {"ref": "thatmathdude/notebookd3c6514323", "kernel_id": "181469"}, {"ref": "jayaldeepak/iris-some-plots-and-k-means-clustering", "kernel_id": "305708"}, {"ref": "lancelotfinn/testing", "kernel_id": "167966"}, {"ref": "riaahuja/firstscript", "kernel_id": "235232"}, {"ref": "ellenrushe/notebooka4ef317941", "kernel_id": "161593"}, {"ref": "bracika/notebook1954aaaec8", "kernel_id": "156295"}, {"ref": "awang252/notebookf90691c6fd", "kernel_id": "158615"}, {"ref": "armandspenser/notebook23aa6c4bd6", "kernel_id": "158651"}, {"ref": "m6tian/notebook7f76d59242", "kernel_id": "202652"}, {"ref": "seckin35/notebook8bab3fe10e", "kernel_id": "248046"}, {"ref": "ztem11011/ztemtitanic", "kernel_id": "175047"}, {"ref": "lfmingo/notebook71990f9c43", "kernel_id": "168846"}, {"ref": "akshaysood/notebook8cd107d833", "kernel_id": "205521"}, {"ref": "andrewpbell/test-script", "kernel_id": "202785"}, {"ref": "envercuric0/notebookac03a0aabc", "kernel_id": "228206"}, {"ref": "fabiocesari/notebook15812d78b6", "kernel_id": "175118"}, {"ref": "wuhao1542/hello-world", "kernel_id": "219248"}, {"ref": "adamaid/notebooka366c9e7a4", "kernel_id": "182960"}, {"ref": "liuyang1/hello-world", "kernel_id": "184671"}, {"ref": "suebose001/notebookd0dc4b9c9b", "kernel_id": "203378"}, {"ref": "javiec/test-scrip", "kernel_id": "188354"}, {"ref": "zzzhacker/firsttry", "kernel_id": "229481"}, {"ref": "samdeeplearning/neural-style-transfer", "kernel_id": "214004"}, {"ref": "jpleyte/my-first-script", "kernel_id": "200969"}, {"ref": "dinesh30/notebook4dde62d049", "kernel_id": "213450"}, {"ref": "ianhansson/hello-world", "kernel_id": "213923"}, {"ref": "jamesloach/testing", "kernel_id": "246846"}, {"ref": "jayniti/notebook2b0f05d382", "kernel_id": "214599"}, {"ref": "elmongui/cool-graph", "kernel_id": "216534"}, {"ref": "leongkaon/notebookb5c9a164fa", "kernel_id": "206234"}, {"ref": "leongkaon/testing", "kernel_id": "206238"}, {"ref": "abhinav15feb/notebookb6d4cb0722", "kernel_id": "208006"}, {"ref": "bastienrolando/notebookf9ab6f7348", "kernel_id": "215933"}, {"ref": "shonna01/notebooke08d7391f9", "kernel_id": "210817"}, {"ref": "shonna01/titanic-dataset", "kernel_id": "210840"}, {"ref": "bdawton/notebooke6359207a5", "kernel_id": "231790"}, {"ref": "siarez/test2", "kernel_id": "232516"}, {"ref": "glipixun/checker", "kernel_id": "339974"}, {"ref": "vishnugangineni/notebookfd42048dd0", "kernel_id": "238055"}, {"ref": "vishnugangineni/notebook67e7077eae", "kernel_id": "238056"}, {"ref": "coolalexv/first-script", "kernel_id": "218626"}, {"ref": "swan01/notebook923b840e54", "kernel_id": "220744"}, {"ref": "avinash29/mylearning", "kernel_id": "233565"}, {"ref": "elzascarlet/notebook0c4b183fae", "kernel_id": "223246"}, {"ref": "elzascarlet/vehicle-collisions-in-manhattan-in-2016", "kernel_id": "223248"}, {"ref": "innerfire/connected-particles-iii-bl-ocks", "kernel_id": "228575"}, {"ref": "traumong/notebook0b23becfa3", "kernel_id": "233923"}, {"ref": "sharmilarc/titanic-exploration", "kernel_id": "419168"}, {"ref": "michaelholm/testing", "kernel_id": "228854"}, {"ref": "ditzio/notebook6eaa2d4954", "kernel_id": "232052"}, {"ref": "ditzio/notebook71974795f0", "kernel_id": "232243"}, {"ref": "mathieuclerici/first-test-script", "kernel_id": "237497"}, {"ref": "jenshahn/notebook87270a4850", "kernel_id": "236789"}, {"ref": "xfernosu/titanic-script-test", "kernel_id": "248700"}, {"ref": "amanmanoja/notebookfdd987a5ed", "kernel_id": "241989"}, {"ref": "bilokij/run-1-script", "kernel_id": "268833"}, {"ref": "steventsai100/notebook4ba1ab6b4d", "kernel_id": "259375"}, {"ref": "mattah/1stattempt", "kernel_id": "261429"}, {"ref": "hadwinhsu/notebook6c39b22381", "kernel_id": "268792"}, {"ref": "sbeacon/firstkerneltitanic", "kernel_id": "278692"}, {"ref": "yytkkktt/time-series-and-anomaly-detection", "kernel_id": "2653463"}, {"ref": "ottoschnurr/list-of-installed-packages-august-2019", "kernel_id": "5459637"}, {"ref": "mikeskim/list-of-installed-packages", "kernel_id": "9575271"}]}
{"competition_id": "4466", "kernels": []}
{"competition_id": "4467", "kernels": [{"ref": "alexxanderlarko/0-2748-with-rf-and-log-transformation", "kernel_id": "13422"}, {"ref": "alexxanderlarko/xgboost-in-r-ver21", "kernel_id": "13429"}, {"ref": "alexxanderlarko/xgbooost-222-1208", "kernel_id": "13451"}, {"ref": "alexxanderlarko/py-xgb-full-1408", "kernel_id": "13654"}, {"ref": "alexxanderlarko/xgbooost-222-1408", "kernel_id": "13652"}, {"ref": "benhamner/julia-xgboost", "kernel_id": "11770"}, {"ref": "mjahrer/keras-starter-code", "kernel_id": "13448"}, {"ref": "gshguru/0-2748-with-rf-and-log-transformation2", "kernel_id": "7441"}, {"ref": "konradb/xgboost", "kernel_id": "9901"}, {"ref": "domcastro/0-24-with-xgboost-in-r-v2", "kernel_id": "11615"}, {"ref": "domcastro/xgboost-ne", "kernel_id": "11201"}, {"ref": "domcastro/xgb-v1-1", "kernel_id": "13158"}, {"ref": "dchudz/head-all-the-files", "kernel_id": "7081"}, {"ref": "dchudz/julia-template", "kernel_id": "7700"}, {"ref": "dchudz/r-template", "kernel_id": "7701"}, {"ref": "dchudz/rmarkdown-template", "kernel_id": "7702"}, {"ref": "abhishek/beating-the-benchmark-v1-0", "kernel_id": "7127"}, {"ref": "abhishek/beating-the-benchmark-v1-1-28", "kernel_id": "7260"}, {"ref": "karjun/python-implementation-of-r-benchmark", "kernel_id": "8593"}, {"ref": "alkhwarizmi/notebookeed2b3b644", "kernel_id": "238620"}, {"ref": "upulbandara/xgbooost-definitely-overfitting-2", "kernel_id": "10385"}, {"ref": "wacaxx/xgboost-in-julia-starter-code", "kernel_id": "7391"}, {"ref": "wacaxx/dataframe-joins-with-julia-and-xgboost", "kernel_id": "11954"}, {"ref": "victorcantor/xgbooost-2-1", "kernel_id": "11980"}, {"ref": "victorcantor/beating-the-benchmark-v1-0", "kernel_id": "7129"}, {"ref": "victorcantor/0-2748-with-rf-and-log-transformation", "kernel_id": "7305"}, {"ref": "vikash/7thjuly-01", "kernel_id": "7671"}, {"ref": "bintug/notebook-0b965cb26410476417a9", "kernel_id": "34846"}, {"ref": "eldosuky/beating-the-benchmark-v1-0", "kernel_id": "7401"}, {"ref": "nagidexter/xgbooost-222-v2", "kernel_id": "13071"}, {"ref": "nagidexter/test1", "kernel_id": "16007"}, {"ref": "chitrasen/beating-the-benchmark-v1-0", "kernel_id": "8194"}, {"ref": "chitrasen/xgbooost-definitely-overfitting-2", "kernel_id": "10428"}, {"ref": "kumareshd/xgbooost-definitely-overfitting-4", "kernel_id": "10546"}, {"ref": "kumareshd/xgbooost", "kernel_id": "8338"}, {"ref": "kumareshd/try-other-methods", "kernel_id": "14737"}, {"ref": "kumareshd/xgbooost-222", "kernel_id": "12849"}, {"ref": "kumareshd/xgbooost-22", "kernel_id": "11769"}, {"ref": "kumareshd/xgbooost-definitely-overfitting-5", "kernel_id": "10677"}, {"ref": "kumareshd/xgbooost-2", "kernel_id": "11219"}, {"ref": "titericz/test-beating-the-benchmark-fork", "kernel_id": "8216"}, {"ref": "titericz/xgbooost-new-new-new-new-new", "kernel_id": "8347"}, {"ref": "titericz/xgbooostx", "kernel_id": "8326"}, {"ref": "titericz/beating-the-benchmark-v1-0", "kernel_id": "7194"}, {"ref": "titericz/xgbooost-5", "kernel_id": "11410"}, {"ref": "drpatrickchan/rf-full-fe-fselection-correctedcost", "kernel_id": "15786"}, {"ref": "drpatrickchan/keras-deep-learning", "kernel_id": "12479"}, {"ref": "marknagelberg/rmsle-function", "kernel_id": "7191"}, {"ref": "kmalev/test1", "kernel_id": "14987"}, {"ref": "benrolls/create-component-matrix", "kernel_id": "10227"}, {"ref": "vu3mmg/notebook-f6b55a40b14eac3f0fa5", "kernel_id": "33898"}, {"ref": "mathseer/xgbooost", "kernel_id": "13282"}, {"ref": "mathseer/xgbooost-why-not", "kernel_id": "13283"}, {"ref": "springcoil/0-2748-with-rf-and-log-transformation", "kernel_id": "7468"}, {"ref": "springcoil/training-set-split-for-cross-validation", "kernel_id": "8631"}, {"ref": "chandrad/test1", "kernel_id": "16077"}, {"ref": "chandrad/xgboost-ne", "kernel_id": "11195"}, {"ref": "chandrad/xgbooost-nbf", "kernel_id": "11156"}, {"ref": "chandrad/xgbooost-exp", "kernel_id": "8600"}, {"ref": "chandrad/xgbooost-definitely-overfitting-2", "kernel_id": "10567"}, {"ref": "chandrad/xgbooost-xg", "kernel_id": "10451"}, {"ref": "mandalsubhajit/format-conversion-bill-of-materials-csv", "kernel_id": "8164"}, {"ref": "elijahpaling/xgboost", "kernel_id": "15979"}, {"ref": "phillipadkins/xgbooost", "kernel_id": "8666"}, {"ref": "ijaganjac/xgboost-in-python", "kernel_id": "13681"}, {"ref": "company/beating-the-benchmark-v1-0", "kernel_id": "7537"}, {"ref": "company/beating-the-benchmark-v1-1", "kernel_id": "7538"}, {"ref": "pakozm/python-tube-properties-and-rfs", "kernel_id": "8575"}, {"ref": "pakozm/sklearn-rf", "kernel_id": "7408"}, {"ref": "ginotesei/collateral-effects-of-bad-resampling", "kernel_id": "14604"}, {"ref": "ginotesei/plot-predictor-correlation-vs-cost", "kernel_id": "11007"}, {"ref": "ginotesei/plot-predictors-correlation-vs-cost", "kernel_id": "11012"}, {"ref": "israelzuniga/listfiles", "kernel_id": "91658"}, {"ref": "ademyttenaere/build-complete-train-and-test-db", "kernel_id": "7376"}, {"ref": "ademyttenaere/0-2748-with-rf-and-log-transformation", "kernel_id": "7250"}, {"ref": "liangcc/test-py", "kernel_id": "11081"}, {"ref": "euclides/files-info-python", "kernel_id": "7173"}, {"ref": "rinzewind/0-2748-with-rf-and-log-transformation", "kernel_id": "7503"}, {"ref": "srikiyer/xgbooost-222", "kernel_id": "14946"}, {"ref": "phunter/xgbooost-42", "kernel_id": "9830"}, {"ref": "dimitrislev/0-2748-with-rf-and-log-transformation", "kernel_id": "7422"}, {"ref": "dimitrislev/test1-3", "kernel_id": "15953"}, {"ref": "dimitrislev/test1-1", "kernel_id": "15817"}, {"ref": "dimitrislev/test1", "kernel_id": "15809"}, {"ref": "michiexile/michiexile-explores", "kernel_id": "11399"}, {"ref": "philculliton/xgbooost-4", "kernel_id": "12284"}, {"ref": "farmerjim/0-2748-with-rf-and-log-transformation", "kernel_id": "7346"}, {"ref": "tenaciousterrier/parallel-rf-adapted-from-arnaud", "kernel_id": "7368"}, {"ref": "bateou29/keras-starter-code", "kernel_id": "7423"}, {"ref": "ram1angadala/0-258-with-rf-and-log-transformation", "kernel_id": "7324"}, {"ref": "fchollet/keras-starter-code", "kernel_id": "7385"}, {"ref": "saddlethen/df-joins-with-julia-and-xgboost-0-249", "kernel_id": "13845"}, {"ref": "saddlethen/0-2748-with-rf-and-log-transformation", "kernel_id": "13743"}, {"ref": "saddlethen/tmp01", "kernel_id": "35733"}, {"ref": "ninapham/xgboost-in-python", "kernel_id": "12689"}, {"ref": "yifanxie/xgbooost", "kernel_id": "8339"}, {"ref": "yifanxie/training-set-split-for-cross-validation", "kernel_id": "8479"}, {"ref": "yifanxie/simple-python-test-run", "kernel_id": "8480"}, {"ref": "pritipatra/rf-full-fe-fselection-correctedcost", "kernel_id": "15933"}, {"ref": "shashankc/xgbooost-222-again", "kernel_id": "14488"}, {"ref": "tanayz/python-implementation-of-r-benchmark", "kernel_id": "7991"}, {"ref": "tanayz/xgbooost-definitely-overfitting-3", "kernel_id": "10754"}, {"ref": "tanayz/xgbooost-definitely-overfitting-4", "kernel_id": "10758"}, {"ref": "yasharzeighami/xgbooost-2", "kernel_id": "11921"}, {"ref": "denistsitko/0-2748-with-rf-and-log-transformation", "kernel_id": "7351"}, {"ref": "vitalstatistix/test01", "kernel_id": "15163"}, {"ref": "vitalstatistix/test1", "kernel_id": "15062"}, {"ref": "anirudhp/ap-catmodel", "kernel_id": "10151"}, {"ref": "sushize/keras-starter-code", "kernel_id": "7390"}, {"ref": "sushize/xgbooost-0-2369-xgb", "kernel_id": "8374"}, {"ref": "sushize/xgb-2421", "kernel_id": "8299"}, {"ref": "potterxu/notebook-02fb699e3aa8377467d5", "kernel_id": "56095"}, {"ref": "potterxu/notebook-0b9b9e4eedbb661a25fc", "kernel_id": "56096"}, {"ref": "potterxu/xgboost-regression", "kernel_id": "56027"}, {"ref": "kontoudi/test-beating-the-benchmark-fork", "kernel_id": "7971"}, {"ref": "nilotpal/xgbooost-a1", "kernel_id": "8672"}, {"ref": "shyshkov/aaaaa", "kernel_id": "11841"}, {"ref": "strawberryman/rf-test", "kernel_id": "12868"}, {"ref": "strawberryman/xgbooost-2223", "kernel_id": "14814"}, {"ref": "strawberryman/xgboost-0-273785-on-lb", "kernel_id": "14910"}, {"ref": "strawberryman/test1", "kernel_id": "14981"}, {"ref": "strawberryman/python-implementation-of-r-benchmark", "kernel_id": "15431"}, {"ref": "strawberryman/test1234", "kernel_id": "15906"}, {"ref": "strawberryman/test1678", "kernel_id": "15923"}, {"ref": "strawberryman/test123", "kernel_id": "15852"}, {"ref": "ashishrane/0-2748-with-rf-and-log-transformation", "kernel_id": "7549"}, {"ref": "cleberamaral/script-7", "kernel_id": "16029"}, {"ref": "cleberamaral/scrpt-3", "kernel_id": "15178"}, {"ref": "avitkauskas/training-set-split-for-cross-validation", "kernel_id": "9807"}, {"ref": "romains/0-24-with-xgboost-in-r2", "kernel_id": "12885"}, {"ref": "namilkim/xgbooost", "kernel_id": "8357"}, {"ref": "hmzhan/xgbooost", "kernel_id": "10259"}, {"ref": "rusbro/initial", "kernel_id": "11595"}, {"ref": "michaelpawlus/xgbooost-222-1408", "kernel_id": "13703"}, {"ref": "michaelpawlus/xgbooost-222", "kernel_id": "14590"}, {"ref": "michaelpawlus/xgb-in-r", "kernel_id": "16065"}, {"ref": "jomisilfe/test1", "kernel_id": "15720"}, {"ref": "jomisilfe/brabu-2", "kernel_id": "15721"}, {"ref": "vishwanathanraman/0-2748-with-rf-and-log-transformation", "kernel_id": "8103"}, {"ref": "mehwish/xgbooost", "kernel_id": "11191"}, {"ref": "tharindudr/rf-with-year", "kernel_id": "7350"}, {"ref": "jsrice/xgbooost-222b", "kernel_id": "14773"}, {"ref": "jsrice/xgbooost-222-1408", "kernel_id": "13812"}, {"ref": "sachinvernekar/test0", "kernel_id": "15203"}, {"ref": "abhijitk/xgbooost", "kernel_id": "10362"}, {"ref": "abhijitk/xgbooost-definitely-overfitting", "kernel_id": "10363"}, {"ref": "abhijitk/xgbooost-definitely-overfitting-2", "kernel_id": "10373"}, {"ref": "justinzach/0-2748-with-rf-and-log-transformation", "kernel_id": "7711"}, {"ref": "tetsurotayama/test-benchmark", "kernel_id": "7149"}, {"ref": "sujeeth/testing-with-xg", "kernel_id": "15070"}, {"ref": "alielhassouni/xgbooost-a1", "kernel_id": "8660"}, {"ref": "totalrecall/hello-world", "kernel_id": "7767"}, {"ref": "totalrecall/testing", "kernel_id": "9948"}, {"ref": "datayo/xgboost", "kernel_id": "15615"}, {"ref": "jimenezluna/0-2748-with-rf-and-log-transformation", "kernel_id": "8104"}, {"ref": "jimenezluna/imputation-via-mice", "kernel_id": "7295"}, {"ref": "dhavalmodi24/0-2748-with-rf-and-log-transformation", "kernel_id": "9933"}, {"ref": "dhavalmodi24/newscript", "kernel_id": "9934"}, {"ref": "johnnystrings/xgbooost-222", "kernel_id": "14549"}, {"ref": "dopelearner/0-2748-with-rf-and-log-transformation", "kernel_id": "7536"}, {"ref": "marbel/cat-random-forest", "kernel_id": "11920"}, {"ref": "marbel/keras-dummy-vars", "kernel_id": "11948"}, {"ref": "kapetis/xgbooost", "kernel_id": "8292"}, {"ref": "teracrator/xgboost", "kernel_id": "11597"}, {"ref": "delijati80/play-with-data", "kernel_id": "7670"}, {"ref": "vincentf/early-stopping-for-xgboost-python", "kernel_id": "11342"}, {"ref": "rshah4/benchmark-in-r", "kernel_id": "7108"}, {"ref": "ashapulin/xgbooost-222", "kernel_id": "13341"}, {"ref": "codebender/basic-rf-benchmark", "kernel_id": "7123"}, {"ref": "codebender/xgbooost-2", "kernel_id": "11292"}, {"ref": "manishmahajan/0-2748-with-rf-and-log-transformation", "kernel_id": "7309"}, {"ref": "manishmahajan/extracting-specifications-from-specs-csv", "kernel_id": "7828"}, {"ref": "andyewing/0-24-with-xgboost-in-r", "kernel_id": "13521"}, {"ref": "vivekuday26/experiment", "kernel_id": "8267"}, {"ref": "colegallagher/keras-starter-code", "kernel_id": "10065"}, {"ref": "kripar/make-component-data-flat-file-r-script", "kernel_id": "12184"}, {"ref": "renjithmadhavan/notebook-11a85bdca7aa503f32de", "kernel_id": "21793"}, {"ref": "dreamastiy/basic-rf-benchmark", "kernel_id": "7143"}, {"ref": "dreamastiy/0-24-with-xgboost-in-r", "kernel_id": "10912"}, {"ref": "k11245/keras-starter-code", "kernel_id": "14005"}, {"ref": "janekk/xgbooost", "kernel_id": "8353"}, {"ref": "nickel/tubes-processing", "kernel_id": "7372"}, {"ref": "nickel/bracket-pricing-variable-and-fixed-cost", "kernel_id": "9803"}, {"ref": "priyansu/beating-the-benchmark-v1", "kernel_id": "7215"}, {"ref": "sebda1/p-xgbooost-222", "kernel_id": "12919"}, {"ref": "sebda1/feature-importance", "kernel_id": "12920"}, {"ref": "sebda1/xgb-multi-runs", "kernel_id": "12925"}, {"ref": "sebda1/xgb-simple-selected", "kernel_id": "12669"}, {"ref": "sebda1/0-2748-with-rf-and-log-40-8000-feat-eng", "kernel_id": "12683"}, {"ref": "sebda1/rf-full-fe-fselection", "kernel_id": "12788"}, {"ref": "sebda1/rf-basic-feature-eng", "kernel_id": "12633"}, {"ref": "sebda1/xgb-watchlist", "kernel_id": "13573"}, {"ref": "sebda1/py-xgb-full", "kernel_id": "13499"}, {"ref": "sebda1/xgbooost-222", "kernel_id": "13132"}, {"ref": "sebda1/xgbooost-py-2", "kernel_id": "13440"}, {"ref": "sebda1/xgbooost-py-diff", "kernel_id": "13441"}, {"ref": "sebda1/xgbooost-222-fe", "kernel_id": "13455"}, {"ref": "sebda1/xgbooost-222-no-change", "kernel_id": "13336"}, {"ref": "sebda1/xgbooost", "kernel_id": "13240"}, {"ref": "mestari/xgbooost-222", "kernel_id": "13075"}, {"ref": "mestari/convert", "kernel_id": "14693"}, {"ref": "bruttoblotto/test2", "kernel_id": "15260"}, {"ref": "deepcnn/xgb-btb", "kernel_id": "10387"}, {"ref": "cslayer20/visualizing-important-variables", "kernel_id": "13976"}, {"ref": "lohath/testscript", "kernel_id": "12220"}, {"ref": "justfor/test1", "kernel_id": "14915"}, {"ref": "justfor/does-kaggle-script-not-work-anymore", "kernel_id": "15251"}, {"ref": "tantawy/test-script", "kernel_id": "16098"}, {"ref": "tantawy/submission", "kernel_id": "16101"}, {"ref": "sarangam123/notebook-ec1bcd8d4ae6fbd4c3e9", "kernel_id": "32232"}, {"ref": "iliasmir/xxgbst", "kernel_id": "8259"}, {"ref": "iliasmir/xgboooost", "kernel_id": "8255"}, {"ref": "iliasmir/xgbst", "kernel_id": "8257"}, {"ref": "iliasmir/xgbooost", "kernel_id": "8253"}, {"ref": "jkapila/xgbooost", "kernel_id": "8552"}, {"ref": "jkapila/0-24-with-xgboost-in-r", "kernel_id": "10068"}, {"ref": "lightlee/0-2748-with-rf-and-log-transformation", "kernel_id": "7811"}, {"ref": "bradyjm1/brady1", "kernel_id": "12654"}, {"ref": "dataeinstein/build-complete-train-and-test-db", "kernel_id": "8263"}, {"ref": "adamwong/xgbooost2", "kernel_id": "9944"}, {"ref": "duttaroy/xgboost", "kernel_id": "12658"}, {"ref": "psycho/0-2748-with-rf-and-log-transformation", "kernel_id": "7327"}, {"ref": "attivillisriharsha/11-july-2015-r-script", "kernel_id": "8296"}, {"ref": "nikitakis/beating-the-benchmark-v1-0", "kernel_id": "7226"}, {"ref": "ypargaien/xgbooost-a1", "kernel_id": "13740"}, {"ref": "bountyhunter/xgbooostlll", "kernel_id": "8468"}, {"ref": "thodime/ctp-v1", "kernel_id": "10475"}, {"ref": "purfvfet/python-implementation-of-r-benchmark", "kernel_id": "10062"}, {"ref": "purfvfet/cat-xgboost", "kernel_id": "12541"}, {"ref": "lilisun/0-2748-with-rf-and-log-transformation", "kernel_id": "7292"}, {"ref": "mahimakhot/combo-model-xgboost-glm", "kernel_id": "16010"}, {"ref": "mahimakhot/0-2748-with-rf-and-log-transformation", "kernel_id": "13514"}, {"ref": "karma86/xgbooost", "kernel_id": "8576"}, {"ref": "karma86/xgbooost-v2", "kernel_id": "9980"}, {"ref": "karma86/xgbooost-v3", "kernel_id": "10138"}, {"ref": "karma86/logistic-regression", "kernel_id": "10580"}, {"ref": "pdandu/testscript", "kernel_id": "12167"}, {"ref": "gpistre/pytests", "kernel_id": "11649"}, {"ref": "gpistre/rxgbtests", "kernel_id": "11650"}, {"ref": "gpistre/test1", "kernel_id": "15806"}, {"ref": "victork/sparse-specs-in-python", "kernel_id": "7888"}, {"ref": "dltmd6262/0-2748-with-rf-and-log-transformation", "kernel_id": "10258"}, {"ref": "dltmd6262/aaasdf", "kernel_id": "9984"}, {"ref": "r4ch31r/build-complete-train-and-test-db", "kernel_id": "8429"}, {"ref": "timabram/tube-pricing-data-exploration-v2", "kernel_id": "7190"}, {"ref": "jpopham91/rmlse-vectorized", "kernel_id": "7457"}, {"ref": "ianintas/running-panda1", "kernel_id": "15299"}, {"ref": "ianintas/0-24-with-xgboost-in-r", "kernel_id": "11226"}, {"ref": "ianintas/look-at-test-train-data", "kernel_id": "7100"}, {"ref": "enrique1500/load-all-tables-for-data-exploration", "kernel_id": "13384"}, {"ref": "us3819/basic-rf-benchmark", "kernel_id": "7177"}, {"ref": "chaoranliu/0-2748-with-rf-and-log-transformation", "kernel_id": "8505"}, {"ref": "akhmetov/beating-the-benchmark-with-gbm", "kernel_id": "7164"}, {"ref": "butchland/xgbooost-222", "kernel_id": "13997"}, {"ref": "felipemacias/0-2748-with-rf-and-log-transformation", "kernel_id": "13393"}, {"ref": "miguel2523/0-2748-with-rf-and-log-transformation", "kernel_id": "10201"}, {"ref": "miguel2523/0-2748-with-rf-and-log-transformation2", "kernel_id": "10443"}, {"ref": "miguel2523/a5000", "kernel_id": "11281"}, {"ref": "miguel2523/variation4", "kernel_id": "10793"}, {"ref": "miguel2523/keras-starter-code", "kernel_id": "12680"}, {"ref": "marjanmaz/caterpillar1", "kernel_id": "12970"}, {"ref": "imchandusg/multi-regression-model", "kernel_id": "14491"}, {"ref": "venezolano/0-2748-with-rf-and-log-transformation", "kernel_id": "7270"}, {"ref": "adrianmann1963/visual-exploration-of-costs-v-tubes", "kernel_id": "8409"}, {"ref": "sairaviteja/xgbooost-23", "kernel_id": "11379"}, {"ref": "mikado2/xgbooost", "kernel_id": "8553"}, {"ref": "gennady/build-complete-train-and-test-db", "kernel_id": "7747"}, {"ref": "krabhijeet/0-2748-with-rf-and-log-transformation", "kernel_id": "7470"}, {"ref": "jpierzch/learning-r", "kernel_id": "12461"}, {"ref": "jpierzch/test-scripts", "kernel_id": "12462"}, {"ref": "rc95401/trial4", "kernel_id": "15495"}, {"ref": "sionek/xgbooost", "kernel_id": "8595"}, {"ref": "sionek/xgbooost-definitely-overfitting-3", "kernel_id": "10523"}, {"ref": "sionek/py-xgb-full", "kernel_id": "13558"}, {"ref": "sionek/xgb-simple-selected", "kernel_id": "12911"}, {"ref": "sionek/xgbooost-py-diff", "kernel_id": "13442"}, {"ref": "sionek/xgbooost-0", "kernel_id": "13241"}, {"ref": "dakindia/parallel-rf-adapted-from-arnaud", "kernel_id": "8676"}, {"ref": "ghozlan/traincsv-numonly-py", "kernel_id": "8234"}, {"ref": "ghozlan/simple-benchmark-py", "kernel_id": "8099"}, {"ref": "ofeyfan/notebook-c805f71d7a8a156b1c0a", "kernel_id": "27020"}, {"ref": "sqyandmy/example", "kernel_id": "12088"}, {"ref": "riobaldo/0-258-with-rf-and-log-transformation", "kernel_id": "7332"}, {"ref": "nathanelbaz/0-2748-with-rf-and-log-transformation", "kernel_id": "8132"}, {"ref": "esemi77/notebook-1c6dae7c65fbc6c11c8b", "kernel_id": "54217"}, {"ref": "esemi77/new-script", "kernel_id": "15212"}, {"ref": "esemi77/visualizing-important-variables", "kernel_id": "15213"}, {"ref": "jamesrampersad1994/tubes-processing", "kernel_id": "8284"}, {"ref": "looluo/xgbooost3", "kernel_id": "13054"}, {"ref": "looluo/xgbooost-2", "kernel_id": "12377"}, {"ref": "looluo/xgbooost", "kernel_id": "11808"}, {"ref": "techface/python-tube-properties-and-rfs", "kernel_id": "15972"}, {"ref": "sashshetty/keras-starter-code", "kernel_id": "10182"}, {"ref": "dsim1683/xgboost-v0", "kernel_id": "11983"}, {"ref": "zllake/xgbooost", "kernel_id": "12139"}, {"ref": "robsanta/0-2748-with-rf-and-log-transformation", "kernel_id": "8687"}, {"ref": "robsanta/component-names", "kernel_id": "11539"}, {"ref": "thinkinc/df-joins-with-julia-and-xgboost-0-249", "kernel_id": "12670"}, {"ref": "thinkinc/0-2748-with-rf-and-log-transformation", "kernel_id": "8187"}, {"ref": "dominalexican/cat-tube-alex", "kernel_id": "13649"}, {"ref": "shinto/notebook99d05b476b", "kernel_id": "112590"}, {"ref": "wigglewoof/0-2748-with-rf-and-log-transformation", "kernel_id": "8637"}, {"ref": "ashwinbh/ashwinscript", "kernel_id": "10149"}, {"ref": "moyang28/0-2748-with-rf-and-log-transformation", "kernel_id": "10454"}, {"ref": "dariosan/testdarius", "kernel_id": "12013"}, {"ref": "kbalkoski/notebook-a43dd98dda6a0d93b37b", "kernel_id": "24036"}, {"ref": "nickcanny/t3st1", "kernel_id": "12069"}, {"ref": "evelynjacinto/xgbooost-222", "kernel_id": "15859"}, {"ref": "rusticodanan/xgbooost-222", "kernel_id": "15637"}, {"ref": "bgs2016/0-189-mse-combo-model-xgboost-glm", "kernel_id": "15789"}, {"ref": "bgs2016/model-with-glm", "kernel_id": "15220"}, {"ref": "ghiazzu/test-just-a-copy-of-arnaud-s-stuff", "kernel_id": "14661"}, {"ref": "kevinmcisaac/notebook-d927e17b7079279588dc", "kernel_id": "32343"}, {"ref": "kevinmcisaac/notebook-a60478ad72635d106ec9", "kernel_id": "32345"}, {"ref": "praveenadepu/notebook-d3718f93640eba923a86", "kernel_id": "24068"}, {"ref": "puneeth/notebook-bd48465899f4755806c3", "kernel_id": "55909"}, {"ref": "puneeth/notebook-8353115d6288212798ba", "kernel_id": "55910"}, {"ref": "tendlya/notebookb09cd1a423", "kernel_id": "86048"}, {"ref": "merico/new-title", "kernel_id": "27301"}, {"ref": "worm2689/notebook-b2e8957d25eac50a7638", "kernel_id": "28889"}, {"ref": "worm2689/shivam", "kernel_id": "28885"}, {"ref": "crawford/python-groupby-and-merge-exercises", "kernel_id": "420286"}, {"ref": "edwardsteele/notebook-7e9fe556de80a6f684f3", "kernel_id": "33800"}, {"ref": "raswap/keras-starter-code", "kernel_id": "31929"}, {"ref": "arunsadhasivam/notebook-cd827b0f9d94113948a1", "kernel_id": "46509"}, {"ref": "christopherf/notebook6e7dcebaa4", "kernel_id": "108062"}, {"ref": "jihyeseo/load-df-eda-pricing-catepillar", "kernel_id": "958366"}, {"ref": "pyy1128/notebook-ea3d505edaa738d7460f", "kernel_id": "75897"}, {"ref": "advarot/notebook-1ddda6a97d909ab6e340", "kernel_id": "75119"}, {"ref": "shuvamnandi/notebookc78f880b65", "kernel_id": "226710"}, {"ref": "vedapragnareddy/0-2748-with-rf-and-log-transformation", "kernel_id": "231257"}, {"ref": "vishalyo990/caterpillar-tube-pricing-eda", "kernel_id": "547817"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}]}
{"competition_id": "4470", "kernels": []}
{"competition_id": "4471", "kernels": [{"ref": "alexxanderlarko/nominal-ordinal-syndrome-003", "kernel_id": "11088"}, {"ref": "alexxanderlarko/nominal-ordinal-syndrome-004", "kernel_id": "11090"}, {"ref": "alexxanderlarko/xgboost-python-forked-2", "kernel_id": "11214"}, {"ref": "alexxanderlarko/xgboost-python-forked-al3", "kernel_id": "11220"}, {"ref": "alexxanderlarko/xgboost-python-forked-al5", "kernel_id": "11229"}, {"ref": "alexxanderlarko/xgboost-python-forked-al007", "kernel_id": "11233"}, {"ref": "alexxanderlarko/sample-al001-1-1", "kernel_id": "11489"}, {"ref": "alexxanderlarko/sample-al001-1-2", "kernel_id": "11513"}, {"ref": "alexxanderlarko/sample-al001-30", "kernel_id": "11827"}, {"ref": "alexxanderlarko/blah-xgb3007", "kernel_id": "11977"}, {"ref": "alexxanderlarko/xgboost-al0708", "kernel_id": "12899"}, {"ref": "alexxanderlarko/r-xgboost-starter-script", "kernel_id": "13320"}, {"ref": "alexxanderlarko/random-forest-benchmark", "kernel_id": "13548"}, {"ref": "alexxanderlarko/rf-4mver2", "kernel_id": "13648"}, {"ref": "benhamner/uploaded-public-leaderboard-to-scripts", "kernel_id": "15760"}, {"ref": "benhamner/random-forest-benchmark-3", "kernel_id": "7610"}, {"ref": "benhamner/default-r-script-3", "kernel_id": "7635"}, {"ref": "benhamner/default-python-script-2", "kernel_id": "7636"}, {"ref": "benhamner/default-julia-script-2", "kernel_id": "7637"}, {"ref": "benhamner/default-rmarkdown-script", "kernel_id": "7638"}, {"ref": "mjahrer/xgb-feature-importance-python", "kernel_id": "13675"}, {"ref": "konradb/tuning-svm-with-gini-score", "kernel_id": "10402"}, {"ref": "konradb/r-xgboost-with-gini-eval-and-stopping", "kernel_id": "8691"}, {"ref": "domcastro/xgboost-python-forked", "kernel_id": "11160"}, {"ref": "domcastro/how-come-it-never-runs-for-me", "kernel_id": "11049"}, {"ref": "domcastro/gradientboosting-lb-0-376", "kernel_id": "12287"}, {"ref": "domcastro/xgb-trainpreds", "kernel_id": "12091"}, {"ref": "domcastro/blah-xgb", "kernel_id": "11917"}, {"ref": "domcastro/xgb-v1", "kernel_id": "12883"}, {"ref": "domcastro/blah-xgb-no-drop", "kernel_id": "12420"}, {"ref": "domcastro/blah-xgb-no-drop-1", "kernel_id": "12428"}, {"ref": "domcastro/xgboost-al0708", "kernel_id": "13019"}, {"ref": "domcastro/xgb77", "kernel_id": "13763"}, {"ref": "domcastro/xgb-rank", "kernel_id": "14601"}, {"ref": "domcastro/blah-xgb-stupider-idea", "kernel_id": "15568"}, {"ref": "wcukierski/official-gini-metric-code-in-c", "kernel_id": "8004"}, {"ref": "gausschen/testing", "kernel_id": "14145"}, {"ref": "owenzhang1/nominal-ordinal-syndrome-00", "kernel_id": "10466"}, {"ref": "mattvonrohr/xgb-benchmark-adapted", "kernel_id": "11693"}, {"ref": "kproductivity/random-forest-benchmark-only-t1-vars", "kernel_id": "13986"}, {"ref": "kproductivity/random-forest-benchmark", "kernel_id": "13638"}, {"ref": "skroth/r-xgboost-with-gini-eval-and-stopping", "kernel_id": "10553"}, {"ref": "skroth/r-xgboost-with-gini-eval-and-stopping2", "kernel_id": "10554"}, {"ref": "hillbert/blah-xgb", "kernel_id": "13411"}, {"ref": "heyitsryan678/blah-xgb-rank", "kernel_id": "11417"}, {"ref": "heyitsryan678/trial-script-10", "kernel_id": "12508"}, {"ref": "heyitsryan678/shouldn-t-we-rank", "kernel_id": "8734"}, {"ref": "heyitsryan678/why-not-rank", "kernel_id": "8646"}, {"ref": "heyitsryan678/trial-script-6", "kernel_id": "9920"}, {"ref": "heyitsryan678/r-xgboost-with-gini-eval-and-stopping", "kernel_id": "9954"}, {"ref": "abhijit78/xgboost-trial", "kernel_id": "8682"}, {"ref": "nigelcarpenter/shiny-test", "kernel_id": "27649"}, {"ref": "nigelcarpenter/r-xgboost-gini-v2", "kernel_id": "8708"}, {"ref": "nigelcarpenter/nominal-ordinal-syndrome", "kernel_id": "8606"}, {"ref": "nigelcarpenter/r-xgboost-with-gini-eval-and-stopping", "kernel_id": "8489"}, {"ref": "rmealey/calculating-normalized-gini-coefficient", "kernel_id": "7730"}, {"ref": "cmorton/blah-xgb", "kernel_id": "11937"}, {"ref": "qwang88/3xpreds1-plus-7xpreds2", "kernel_id": "8555"}, {"ref": "qwang88/nominal-ordinal-syndrome-00", "kernel_id": "10360"}, {"ref": "qwang88/test3", "kernel_id": "12254"}, {"ref": "qwang88/my-test", "kernel_id": "14045"}, {"ref": "davidfoster/attempt5", "kernel_id": "15963"}, {"ref": "davidfoster/attempt1run", "kernel_id": "16746"}, {"ref": "hacheemaster/blah-xgb", "kernel_id": "14121"}, {"ref": "hacheemaster/blah-xgb-blah", "kernel_id": "14503"}, {"ref": "luciferase/emsemble-rf-and-xgboost-r-0-379", "kernel_id": "12228"}, {"ref": "ramarlina/another-test", "kernel_id": "7970"}, {"ref": "ramarlina/test-test", "kernel_id": "7799"}, {"ref": "ramarlina/test3", "kernel_id": "7803"}, {"ref": "thakurrajanand/data-exploration", "kernel_id": "13924"}, {"ref": "oxofff/gini-scorer-cv-gridsearch", "kernel_id": "7686"}, {"ref": "hmnshu/oussamabest1", "kernel_id": "8328"}, {"ref": "nagidexter/blah-xgb", "kernel_id": "13012"}, {"ref": "nagidexter/blah-xgbv2", "kernel_id": "13051"}, {"ref": "wtwang/blah-xgb-old", "kernel_id": "14140"}, {"ref": "kumareshd/random-forest-benchmark", "kernel_id": "7717"}, {"ref": "kumareshd/shouldn-t-we-rank", "kernel_id": "9834"}, {"ref": "kumareshd/nominal-ordinal-syndrome-00", "kernel_id": "9935"}, {"ref": "kumareshd/done-done-2", "kernel_id": "8235"}, {"ref": "kumareshd/oussamabest1", "kernel_id": "8295"}, {"ref": "kumareshd/3xpreds1-plus-7xpreds2", "kernel_id": "8354"}, {"ref": "kumareshd/nominal-ordinal-syndrome", "kernel_id": "8607"}, {"ref": "kumareshd/test-test", "kernel_id": "7904"}, {"ref": "kumareshd/test-test-subsamp-change", "kernel_id": "8145"}, {"ref": "kumareshd/h2o-gbm-benchmark", "kernel_id": "12064"}, {"ref": "kumareshd/nominal-ordinal-syndrome-000", "kernel_id": "10960"}, {"ref": "kumareshd/blah-xgb", "kernel_id": "11344"}, {"ref": "kumareshd/xgboost-python-forked-1", "kernel_id": "11208"}, {"ref": "metindoslu/random-forest-benchmark", "kernel_id": "8264"}, {"ref": "dserdyuk/taseasdf", "kernel_id": "10867"}, {"ref": "titericz/done-done-3", "kernel_id": "8240"}, {"ref": "titericz/3xpreds1-plus-7xpreds2-x", "kernel_id": "8450"}, {"ref": "titericz/test-test-giba1", "kernel_id": "8080"}, {"ref": "titericz/test-test", "kernel_id": "7911"}, {"ref": "maccam912/random-forest-benchmark", "kernel_id": "7850"}, {"ref": "maccam912/xgboost-benchmark-0-38019", "kernel_id": "7947"}, {"ref": "maccam912/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "8617"}, {"ref": "kmalev/randomforest-alternative-coding-example", "kernel_id": "14079"}, {"ref": "rocelot/r-xgboost-starter-script", "kernel_id": "13108"}, {"ref": "rocelot/asdsafasd", "kernel_id": "12421"}, {"ref": "rocelot/blah-xgb", "kernel_id": "11661"}, {"ref": "rocelot/combining-models-xgboost-rf-0-37568", "kernel_id": "8101"}, {"ref": "rocelot/test-test-giba1", "kernel_id": "8097"}, {"ref": "rocelot/xgboost-benchmark-0-38019", "kernel_id": "8020"}, {"ref": "rocelot/3xpreds1-plus-7xpreds2", "kernel_id": "8355"}, {"ref": "rocelot/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "8245"}, {"ref": "rocelot/nominal-ordinal-syndrome", "kernel_id": "8604"}, {"ref": "rocelot/factortonumeric", "kernel_id": "10005"}, {"ref": "rocelot/r-xgboost-gini-v2", "kernel_id": "9951"}, {"ref": "rocelot/poop-poop", "kernel_id": "8667"}, {"ref": "inversion/leaderboard-progression", "kernel_id": "15779"}, {"ref": "jeremypmobley/rf-tuner", "kernel_id": "14409"}, {"ref": "milivojevic/xgboost-benchmark-0-38019", "kernel_id": "7684"}, {"ref": "joelpulliam/joel-s-first-r-script", "kernel_id": "7883"}, {"ref": "vcomas/random-forest-benchmark", "kernel_id": "10569"}, {"ref": "mathseer/blah-xgb", "kernel_id": "12624"}, {"ref": "clustifier/h2o-gbm-benchmark", "kernel_id": "12632"}, {"ref": "juandoso/xgboost-benchmark-0-38019", "kernel_id": "7621"}, {"ref": "staesthetics/ensemble-xgboost-rf-0-41", "kernel_id": "8508"}, {"ref": "staesthetics/random-forest-0-35-auc", "kernel_id": "8446"}, {"ref": "innormous/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "8551"}, {"ref": "innormous/testing", "kernel_id": "10283"}, {"ref": "abalogh/neural-networks-benchmark", "kernel_id": "8146"}, {"ref": "danielsack/a-little-fun-with-xgb", "kernel_id": "12320"}, {"ref": "danielsack/keras-nn-rescaled", "kernel_id": "12190"}, {"ref": "danielsack/let-s-try-to-run-gs-on-xgb-regressor", "kernel_id": "12419"}, {"ref": "danielsack/x-to-the-gboosting", "kernel_id": "12862"}, {"ref": "alexanderschaaf/gradientboosting-lb-0-376", "kernel_id": "8247"}, {"ref": "dbuffoni/blah-xgb", "kernel_id": "13447"}, {"ref": "sangsulee/normalized-gini-scorer-xgboost-0-371", "kernel_id": "8619"}, {"ref": "itankoyeu/oussamabest1", "kernel_id": "8327"}, {"ref": "kailex/gini-summary-function-for-caret-package", "kernel_id": "13642"}, {"ref": "mtutek/stacking", "kernel_id": "15520"}, {"ref": "mrooijer/my-first-python", "kernel_id": "10615"}, {"ref": "kunlong0909/my-test", "kernel_id": "16540"}, {"ref": "tdevries/calculating-normalized-gini-coefficient", "kernel_id": "7617"}, {"ref": "akilaw/test1", "kernel_id": "15489"}, {"ref": "jiweiliu/gini-intuitions", "kernel_id": "11290"}, {"ref": "ceshine/hazard-means-of-factors", "kernel_id": "14032"}, {"ref": "chenglongchen/test-xgb", "kernel_id": "10220"}, {"ref": "srikiyer/blah-xgb", "kernel_id": "14829"}, {"ref": "kazanova/blah-xgb", "kernel_id": "14887"}, {"ref": "nixvirus/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "8024"}, {"ref": "nixvirus/colsample-bytree", "kernel_id": "8098"}, {"ref": "nixvirus/blah-xgb", "kernel_id": "12417"}, {"ref": "triskelion/normalized-gini-scorer-xgboost-0-371", "kernel_id": "7746"}, {"ref": "farmerjim/random-forest-benchmark", "kernel_id": "13542"}, {"ref": "gabrielfarah/nominal-ordinal-syndrome-00", "kernel_id": "10840"}, {"ref": "breezeintopieces/test1", "kernel_id": "10550"}, {"ref": "ram1angadala/nominal-ordinal-syndrome-00", "kernel_id": "10910"}, {"ref": "kirubakumaresh/xgboost-pca2", "kernel_id": "7807"}, {"ref": "kirubakumaresh/xgboost-benchmark-0-38019", "kernel_id": "7655"}, {"ref": "kirubakumaresh/xgboost-optimized2", "kernel_id": "7658"}, {"ref": "kirubakumaresh/done-done-3", "kernel_id": "8182"}, {"ref": "kirubakumaresh/not-everything-categorical", "kernel_id": "7997"}, {"ref": "kirubakumaresh/myxgboost", "kernel_id": "7826"}, {"ref": "kirubakumaresh/everything-nominal", "kernel_id": "8586"}, {"ref": "kirubakumaresh/nominal-ordinal-syndrome", "kernel_id": "8597"}, {"ref": "jfkingiii/xgboost", "kernel_id": "12901"}, {"ref": "loveall/notebook-4beeabb927184af0e57f", "kernel_id": "31257"}, {"ref": "nikeshbajaj/tuning-svm-with-gini-score", "kernel_id": "10346"}, {"ref": "aokay47/blah-xgb", "kernel_id": "14030"}, {"ref": "aokay47/test-xgboost", "kernel_id": "15363"}, {"ref": "aokay47/blah-test2-xgb", "kernel_id": "15197"}, {"ref": "jatkat45/random-forest-benchmark", "kernel_id": "8438"}, {"ref": "robinspiess/xgb-onehotencoded", "kernel_id": "15372"}, {"ref": "luzhao/notebook-9f30756e4370cd9b9afd", "kernel_id": "31643"}, {"ref": "erolbiberoglu/bench-stacked-generalization", "kernel_id": "14258"}, {"ref": "gillevi/simple-test", "kernel_id": "10992"}, {"ref": "timkreienkamp/r-script-test", "kernel_id": "12082"}, {"ref": "devinanzelmo/3xpreds1-plus-7xpreds2", "kernel_id": "8337"}, {"ref": "devinanzelmo/test-test", "kernel_id": "8010"}, {"ref": "devinanzelmo/done-done-2-more-efficient", "kernel_id": "8183"}, {"ref": "devinanzelmo/xgboost-benchmark-0-38019", "kernel_id": "7615"}, {"ref": "ahaque/liberty-mutual-base", "kernel_id": "13728"}, {"ref": "debaryadutta/logistic-regression", "kernel_id": "8572"}, {"ref": "boscotsang/random-forest-benchmark", "kernel_id": "13550"}, {"ref": "themachine/themachine", "kernel_id": "7848"}, {"ref": "themachine/the-machine-ii", "kernel_id": "8678"}, {"ref": "themachine/themachine-iii", "kernel_id": "10146"}, {"ref": "gmilosev/test-test-giba1", "kernel_id": "8134"}, {"ref": "mkurnikov/some-randomness-for-the-sake-of-shakeup", "kernel_id": "10641"}, {"ref": "lantingguo/nominal-ordinal-syndrome-0066", "kernel_id": "10233"}, {"ref": "lantingguo/test-julia", "kernel_id": "10234"}, {"ref": "mdbrown/blah-xgb-stupider-idea-3", "kernel_id": "15727"}, {"ref": "denistsitko/3xpreds1-plus-7xpreds2-sep-preds", "kernel_id": "8540"}, {"ref": "ramansharma/gini-scorer-cv-gridsearch", "kernel_id": "7696"}, {"ref": "ramansharma/test-test", "kernel_id": "7824"}, {"ref": "sbalgz/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "13463"}, {"ref": "sushize/nominal-ordinal-syndrome-000", "kernel_id": "11082"}, {"ref": "sushize/later-stopping", "kernel_id": "11303"}, {"ref": "sushize/xgb-python-lb0-391113", "kernel_id": "15107"}, {"ref": "sushize/h2o-gbm-benchmark-lb0-378", "kernel_id": "15585"}, {"ref": "sushize/h2o-gbm-benchmark-lb0-3496", "kernel_id": "15586"}, {"ref": "sushize/rf-lb0-359816-ss", "kernel_id": "15588"}, {"ref": "sushize/gradientboosting-100", "kernel_id": "8558"}, {"ref": "sushize/benchmark-387924", "kernel_id": "8594"}, {"ref": "sushize/xgb67-ss", "kernel_id": "8280"}, {"ref": "sushize/xgb-51-shize", "kernel_id": "8179"}, {"ref": "sushize/test-xgb-each", "kernel_id": "7916"}, {"ref": "sushize/test-ss-4684", "kernel_id": "8156"}, {"ref": "hyposulphite/test-1", "kernel_id": "10808"}, {"ref": "hyposulphite/benchmark2", "kernel_id": "10552"}, {"ref": "hyposulphite/benchmark", "kernel_id": "10501"}, {"ref": "neethuprem/random-forest-benchmark", "kernel_id": "7697"}, {"ref": "simonsayz/attempt1", "kernel_id": "11765"}, {"ref": "tobestar/bench-stacked-generalization", "kernel_id": "15045"}, {"ref": "engineear/bench-stacked-generalization", "kernel_id": "25386"}, {"ref": "clapaucio/gini-scoring-numpy-pandas-version", "kernel_id": "8470"}, {"ref": "sweeroty/r-version-of-blah-s-xgb-script", "kernel_id": "12798"}, {"ref": "sweeroty/blah-xgb", "kernel_id": "12331"}, {"ref": "sweeroty/blah-xgb-1", "kernel_id": "12335"}, {"ref": "lishubin/xgboost-benchmark-0-380638-improvement", "kernel_id": "10799"}, {"ref": "cleberamaral/script-2-1", "kernel_id": "15623"}, {"ref": "jwjohnson314/basic-random-forest-w-sklearn", "kernel_id": "9843"}, {"ref": "pushpendu/random-forest-benchmark", "kernel_id": "8151"}, {"ref": "andreisun/xgb-trim-or-not-trim-features", "kernel_id": "10040"}, {"ref": "amitchoudhary/randomforest", "kernel_id": "13469"}, {"ref": "optidatascience/r-xgboost-gini-v2", "kernel_id": "12071"}, {"ref": "namesj/r-xgboost-starter-script", "kernel_id": "14363"}, {"ref": "grigorydymov/normalized-gini-scorer-xgboost-0-371", "kernel_id": "7703"}, {"ref": "grigorydymov/xgboost-benchmark-0-380638-improvement", "kernel_id": "7875"}, {"ref": "oleksiirenov/ttttt", "kernel_id": "12315"}, {"ref": "oleksiirenov/blah-xgb", "kernel_id": "12318"}, {"ref": "xiaozhouwang/try-for-fun", "kernel_id": "14087"}, {"ref": "johncook/feature", "kernel_id": "13764"}, {"ref": "michaelpawlus/h2o-gbm-benchmark", "kernel_id": "13694"}, {"ref": "michaelpawlus/r-xgboost-starter-script", "kernel_id": "13696"}, {"ref": "michaelpawlus/xgboost", "kernel_id": "14063"}, {"ref": "michaelpawlus/xgboost-b2", "kernel_id": "14066"}, {"ref": "jomisilfe/brasbu", "kernel_id": "15573"}, {"ref": "jomisilfe/blah-xgb", "kernel_id": "13434"}, {"ref": "pinocchio/histogram-of-all-fields", "kernel_id": "10663"}, {"ref": "thinkersunil/test-script-gbm", "kernel_id": "10856"}, {"ref": "ai2015/xgboost-benchmark-0-38019", "kernel_id": "7642"}, {"ref": "mehwish/test4", "kernel_id": "11403"}, {"ref": "mehwish/xgboost", "kernel_id": "12797"}, {"ref": "nasermonsefi/naive-bayes", "kernel_id": "13255"}, {"ref": "divyanshusuri/test-new", "kernel_id": "10489"}, {"ref": "divyanshusuri/new-code", "kernel_id": "10490"}, {"ref": "divyanshusuri/xgboost-and-rf-ensemble", "kernel_id": "10153"}, {"ref": "llin22/blah-xgb", "kernel_id": "12205"}, {"ref": "tharindudr/random-forest-with-features", "kernel_id": "7876"}, {"ref": "jzzcutler/wastingtime", "kernel_id": "15765"}, {"ref": "markpeng/hazard-groups-in-training-set", "kernel_id": "15043"}, {"ref": "vettipaiyan/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "15109"}, {"ref": "abhijitk/done-done", "kernel_id": "8173"}, {"ref": "abhijitk/done-done-2", "kernel_id": "8174"}, {"ref": "abhijitk/done-done-3", "kernel_id": "8176"}, {"ref": "abhijitk/done-done-4", "kernel_id": "8178"}, {"ref": "abhijitk/test-test", "kernel_id": "8054"}, {"ref": "abhijitk/oussamabest1", "kernel_id": "8282"}, {"ref": "abhijitk/fail-1", "kernel_id": "8433"}, {"ref": "abhijitk/nominal-ordinal-syndrome-01", "kernel_id": "10046"}, {"ref": "abhijitk/nominal-ordinal-syndrome-00", "kernel_id": "9958"}, {"ref": "abhijitk/blah-xgb-stupid-idea", "kernel_id": "15061"}, {"ref": "abhijitk/blah-xgb-stupider-idea", "kernel_id": "15068"}, {"ref": "abhijitk/blah-xgb-stupider-idea-2", "kernel_id": "15771"}, {"ref": "qmaruf/testing-to-learn", "kernel_id": "9896"}, {"ref": "mikeanderson/xgboost-in-caret", "kernel_id": "19920"}, {"ref": "tetsurotayama/test-xgb6", "kernel_id": "15723"}, {"ref": "sujeeth/new-try", "kernel_id": "15680"}, {"ref": "devonbrackbill/blah3-xgb", "kernel_id": "15270"}, {"ref": "alielhassouni/blah-xgb-666", "kernel_id": "15380"}, {"ref": "alielhassouni/blah-xgb-6661", "kernel_id": "15408"}, {"ref": "joemliang/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "15102"}, {"ref": "dj2909/r-xgboost-with-gini-eval-and-stopping", "kernel_id": "13800"}, {"ref": "ksjpswaroop/feature-correlation-pairplot", "kernel_id": "13011"}, {"ref": "ksjpswaroop/random-forest-benchmark", "kernel_id": "11099"}, {"ref": "mmueller/hazard-means-of-factors", "kernel_id": "13431"}, {"ref": "mmueller/xgb-feature-importance-python", "kernel_id": "13670"}, {"ref": "mmueller/factor-stats-w-interactions", "kernel_id": "14269"}, {"ref": "gravity/test-script", "kernel_id": "12605"}, {"ref": "darraghdog/xgboost-for-r", "kernel_id": "7837"}, {"ref": "soutik/random-forest-benchmark", "kernel_id": "8458"}, {"ref": "soutik/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "8464"}, {"ref": "soutik/random-forest", "kernel_id": "8395"}, {"ref": "soutik/xgboost-in-r", "kernel_id": "10029"}, {"ref": "soutik/xgb-4", "kernel_id": "12149"}, {"ref": "soutik/xgboost-python-forked", "kernel_id": "11153"}, {"ref": "soutik/xgboost-python-2", "kernel_id": "11283"}, {"ref": "soutik/blah-xgb", "kernel_id": "11286"}, {"ref": "datayo/xgb-python", "kernel_id": "12361"}, {"ref": "datayo/blah-xgb-stupider-idea", "kernel_id": "15543"}, {"ref": "jimenezluna/oussamabest1", "kernel_id": "8309"}, {"ref": "jimenezluna/increasing-max-depth", "kernel_id": "8310"}, {"ref": "jimenezluna/improving-a-bit", "kernel_id": "8319"}, {"ref": "joshuaslocum/xgboost-preds-used", "kernel_id": "10826"}, {"ref": "mostafafr/blah-hh-xgb", "kernel_id": "13053"}, {"ref": "ouranos/blah-xgb", "kernel_id": "13786"}, {"ref": "madcap/r-xgboost-starter-script", "kernel_id": "11675"}, {"ref": "madcap/blah-xgb", "kernel_id": "13370"}, {"ref": "kapetis/test-test-r", "kernel_id": "7990"}, {"ref": "gccstatlearning/blah-xgb-stupider-idea", "kernel_id": "15613"}, {"ref": "suyashb/xgboost-python-21", "kernel_id": "11886"}, {"ref": "suyashb/xgboost-benchmark-2", "kernel_id": "11888"}, {"ref": "littlekid/onehotencode-svr", "kernel_id": "7982"}, {"ref": "rushter/seaborn-pairplot", "kernel_id": "11829"}, {"ref": "rshah4/histogram-of-all-fields-with-labels", "kernel_id": "10722"}, {"ref": "rshah4/correlation-matrix-visualization", "kernel_id": "8503"}, {"ref": "rshah4/combining-modes-xgboost-rf", "kernel_id": "7762"}, {"ref": "rhlkmr/test1", "kernel_id": "10144"}, {"ref": "ashapulin/blah-xgb", "kernel_id": "12471"}, {"ref": "ianxxiao/notebook-2d6e049eed75aa857385", "kernel_id": "25219"}, {"ref": "jmjtvjoseph/second-order-polynomials-of-variables", "kernel_id": "15141"}, {"ref": "oisinrob/script-test", "kernel_id": "10696"}, {"ref": "arcady27/h2o-gbm-benchmark", "kernel_id": "11913"}, {"ref": "codebender/nominal-ordinal-syndrome", "kernel_id": "9840"}, {"ref": "codebender/later-stopping", "kernel_id": "11291"}, {"ref": "devendramittal/randomforest", "kernel_id": "13244"}, {"ref": "devendramittal/supportvectorreg", "kernel_id": "13246"}, {"ref": "devendramittal/adaboostreg", "kernel_id": "13229"}, {"ref": "devendramittal/extratree", "kernel_id": "13233"}, {"ref": "mlsmith002/random-forest-benchmark", "kernel_id": "10842"}, {"ref": "iron0012/xgb-attempt-at-proper-submission", "kernel_id": "14715"}, {"ref": "florianm/too-many-xg", "kernel_id": "8170"}, {"ref": "gingayoshizawa/train-test-feature-distribution-check", "kernel_id": "13927"}, {"ref": "danielchin/blah-xgb073", "kernel_id": "12565"}, {"ref": "andylin512/try-random-forest", "kernel_id": "10383"}, {"ref": "andylin512/1st-code", "kernel_id": "10107"}, {"ref": "dowakin/feature-correlation-pairplot", "kernel_id": "13574"}, {"ref": "dowakin/xgb-dump", "kernel_id": "13627"}, {"ref": "toneloy/random-forest-benchmark-mine", "kernel_id": "8484"}, {"ref": "apex51/poisson-regression", "kernel_id": "16846"}, {"ref": "apex51/onehotencode-sgd", "kernel_id": "14797"}, {"ref": "malais/hazard-property-inspection-prediction", "kernel_id": "7872"}, {"ref": "shuyangs/notebook-2c5f25a25547e5b08672", "kernel_id": "30125"}, {"ref": "vivekag/bagging-code", "kernel_id": "7841"}, {"ref": "vivekag/xgboost-for-r", "kernel_id": "7951"}, {"ref": "vivekag/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "7956"}, {"ref": "vivekag/random-forest-benchmark", "kernel_id": "7690"}, {"ref": "vivekag/histogram-of-all-fields-with-labels", "kernel_id": "11339"}, {"ref": "aflyax/random-forest-benchmark", "kernel_id": "8490"}, {"ref": "mohitpmathur/blah-xgb", "kernel_id": "14081"}, {"ref": "guangzhan/randomfores", "kernel_id": "8405"}, {"ref": "guangzhan/gradientboosting-100", "kernel_id": "8408"}, {"ref": "guangzhan/gradientboosting", "kernel_id": "8387"}, {"ref": "phat1984/python-rf", "kernel_id": "12999"}, {"ref": "phat1984/random-forest-benchmark", "kernel_id": "12928"}, {"ref": "ikbuzsak/testing", "kernel_id": "10573"}, {"ref": "ikbuzsak/testing2", "kernel_id": "10575"}, {"ref": "ikbuzsak/r-xgboost-cv-weird-results", "kernel_id": "10688"}, {"ref": "ikbuzsak/h2o-gbm-benchmark-plscs", "kernel_id": "12000"}, {"ref": "jigneshvyas/correlation-and-hierarchy-visualization", "kernel_id": "11023"}, {"ref": "mingjerli/xgboost-benchmark-0-38019", "kernel_id": "11885"}, {"ref": "rawalc/ensemble-of-all-benchmarks", "kernel_id": "15625"}, {"ref": "mestari/blah-xgb-stupider-idea", "kernel_id": "15704"}, {"ref": "deepcnn/unique-values-in-a-pandas-dataframe", "kernel_id": "11821"}, {"ref": "deepcnn/xgb-the-weird-and-the-arbitrary", "kernel_id": "12562"}, {"ref": "deepcnn/t-sne-test", "kernel_id": "11760"}, {"ref": "deepcnn/early-stopping", "kernel_id": "11293"}, {"ref": "deepcnn/animation-test", "kernel_id": "15883"}, {"ref": "onepau/bench-stacked-generalization", "kernel_id": "14682"}, {"ref": "justfor/bench-stacked-generalization", "kernel_id": "14092"}, {"ref": "justfor/uploaded-public-leaderboard-to-scripts", "kernel_id": "15802"}, {"ref": "justfor/just-a-bench", "kernel_id": "8258"}, {"ref": "justfor/explore-data", "kernel_id": "8472"}, {"ref": "jijosunny/xgboost-in-r", "kernel_id": "7789"}, {"ref": "jijosunny/3xpreds1-plus-7xpreds2", "kernel_id": "8379"}, {"ref": "jijosunny/xgboost-in-r-randomforest", "kernel_id": "8279"}, {"ref": "jijosunny/xgboost-benchmark-0-38019", "kernel_id": "7830"}, {"ref": "jijosunny/nominal-ordinal-syndrome-00", "kernel_id": "10207"}, {"ref": "jijosunny/xgb-weird-useless-arbitrary", "kernel_id": "12652"}, {"ref": "wdboou/initial-feature-engineering", "kernel_id": "15123"}, {"ref": "interesting/xgb-variation", "kernel_id": "12294"}, {"ref": "interesting/xgboost-python-2", "kernel_id": "12192"}, {"ref": "interesting/xgb-param-tuning", "kernel_id": "12193"}, {"ref": "interesting/blah-xgb", "kernel_id": "11783"}, {"ref": "interesting/xgb-eval-gini", "kernel_id": "15099"}, {"ref": "dishap/xgboost-benchmark-0-38019", "kernel_id": "7721"}, {"ref": "iliasmir/nominal-ordinal-syndrome-000", "kernel_id": "10007"}, {"ref": "shanti/liberty", "kernel_id": "12358"}, {"ref": "ivadev/random-forest-benchmark", "kernel_id": "8208"}, {"ref": "headache/explore-data", "kernel_id": "10559"}, {"ref": "bobangel/random-forest-benchmark", "kernel_id": "7868"}, {"ref": "jahnab/h2o-gbm", "kernel_id": "13984"}, {"ref": "odiseo1982/compare-variables-between-train-and-test", "kernel_id": "10850"}, {"ref": "thanhdn/gini-scoring-simple-and-efficient", "kernel_id": "12466"}, {"ref": "hafeez/random-forest-benchmark", "kernel_id": "8009"}, {"ref": "kvasov20and15rew/xgboost-benchmark-0-38019", "kernel_id": "8425"}, {"ref": "kvasov20and15rew/random-forest-benchmark", "kernel_id": "8420"}, {"ref": "tenich/blah-xgb", "kernel_id": "15075"}, {"ref": "duttaroy/using-h2o", "kernel_id": "13394"}, {"ref": "nicholashartmann/random-forest-benchmark", "kernel_id": "8075"}, {"ref": "wooohooo/xgboost-benchmark-0-38019", "kernel_id": "7761"}, {"ref": "harshaneel/nominal-ordinal-syndrome-000", "kernel_id": "11025"}, {"ref": "harshaneel/xgboost-benchmark-0-38019", "kernel_id": "7763"}, {"ref": "harshaneel/neural-networks-benchmark", "kernel_id": "7788"}, {"ref": "psycomania/h2o-gbm-benchmark", "kernel_id": "13284"}, {"ref": "anastasiayanina/xgboost-python-forked", "kernel_id": "11170"}, {"ref": "liam11/xgboost-benchmark-0-38019", "kernel_id": "7986"}, {"ref": "rkumarpavan/regress", "kernel_id": "13651"}, {"ref": "iliasemenov/blah-xgb", "kernel_id": "14399"}, {"ref": "philferriere/blah-xgb-stupider-idea4", "kernel_id": "15575"}, {"ref": "elhamadi/stack3d", "kernel_id": "15712"}, {"ref": "elhamadi/simpleglm", "kernel_id": "15168"}, {"ref": "shankarpandala/random-forest-benchmark", "kernel_id": "10016"}, {"ref": "grebliv/random-forest-benchmark", "kernel_id": "7938"}, {"ref": "nester/first-try", "kernel_id": "7749"}, {"ref": "nester/randomforest-gridsearch-benchmark", "kernel_id": "10894"}, {"ref": "gonnatobuymac/xgboost-benchmark-0-380638-improvement", "kernel_id": "7966"}, {"ref": "gonnatobuymac/test-test-giba1", "kernel_id": "8142"}, {"ref": "gonnatobuymac/xgboost", "kernel_id": "8414"}, {"ref": "oleksandrvorobiov/h2o-gbm-benchmark", "kernel_id": "12081"}, {"ref": "kotomord/blah-xgb-kotomord", "kernel_id": "13139"}, {"ref": "kotomord/blah-xgb", "kernel_id": "12409"}, {"ref": "thodime/lmg-v1", "kernel_id": "10429"}, {"ref": "thodime/lmgv3", "kernel_id": "10435"}, {"ref": "mahimakhot/r-xgboost-gini-v2", "kernel_id": "13977"}, {"ref": "mahimakhot/rf-tuner", "kernel_id": "14571"}, {"ref": "chriscc/xgb-rank", "kernel_id": "14556"}, {"ref": "chriscc/xgb-cv", "kernel_id": "10442"}, {"ref": "chriscc/xgb-py", "kernel_id": "10193"}, {"ref": "chriscc/testpy", "kernel_id": "9962"}, {"ref": "anirudhvas/xg-boost-trial", "kernel_id": "11637"}, {"ref": "amineteffal/script-aminos-1-1", "kernel_id": "14162"}, {"ref": "oliviers/test33", "kernel_id": "15032"}, {"ref": "karma86/benchmark", "kernel_id": "8573"}, {"ref": "karma86/benchmark-lm", "kernel_id": "10364"}, {"ref": "karma86/blah-xgb", "kernel_id": "11820"}, {"ref": "jpopham91/gini-scoring-simple-and-efficient", "kernel_id": "8192"}, {"ref": "ranjit/xgboost-script", "kernel_id": "15360"}, {"ref": "ranjit/rmarkdown", "kernel_id": "15365"}, {"ref": "ranjit/rf-and-gbm", "kernel_id": "17095"}, {"ref": "krishnatokala/nominal-ordinal-syndrome", "kernel_id": "8689"}, {"ref": "krishnatokala/xgboost-trial", "kernel_id": "8684"}, {"ref": "vikasrtr/histogram-of-all-fields", "kernel_id": "10292"}, {"ref": "vgaddam/lmfirs", "kernel_id": "12529"}, {"ref": "adam2eden/random-forest-benchmark", "kernel_id": "8242"}, {"ref": "chinta/test09", "kernel_id": "13808"}, {"ref": "arrayngs/random-forest-benchmark", "kernel_id": "11066"}, {"ref": "rkdata/test2", "kernel_id": "13247"}, {"ref": "yhcheng/random-forest-benchmark", "kernel_id": "12001"}, {"ref": "vladteodorescu/blah-xgb", "kernel_id": "12044"}, {"ref": "vladteodorescu/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "10169"}, {"ref": "stefanmai/r-xgboost-starter-script", "kernel_id": "13117"}, {"ref": "ricardorivero/blahh", "kernel_id": "12677"}, {"ref": "passick/xgboost-forest-test", "kernel_id": "14390"}, {"ref": "passick/random-forest-test", "kernel_id": "14354"}, {"ref": "davidl6/h2o-gbm", "kernel_id": "14268"}, {"ref": "davidl6/xgboost-al0708", "kernel_id": "13490"}, {"ref": "davidl6/xgboost-b", "kernel_id": "13700"}, {"ref": "drchrisarthur/load-and-scale-function", "kernel_id": "8717"}, {"ref": "sairaviteja/rforest", "kernel_id": "10504"}, {"ref": "andrewlin1006/cs145-v1", "kernel_id": "115302"}, {"ref": "andrewlin1006/cs145", "kernel_id": "114605"}, {"ref": "vijaysathish/blah-xgb-subcolsub-0-7-mdepth7", "kernel_id": "14606"}, {"ref": "vijaysathish/blah-xgb-sub0-9col0-6depth9eta0-01", "kernel_id": "14795"}, {"ref": "lancerts/r-model-tuning-benchmark", "kernel_id": "7699"}, {"ref": "debayan/3xpreds1-plus-7xpreds2", "kernel_id": "8401"}, {"ref": "ys19931006/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "8229"}, {"ref": "ys19931006/xgboost1", "kernel_id": "8218"}, {"ref": "ys19931006/xgboost-for-r", "kernel_id": "8044"}, {"ref": "ys19931006/random-forest-benchmark", "kernel_id": "7792"}, {"ref": "ys19931006/r-xgboost-with-gini-eval-and-stopping", "kernel_id": "17930"}, {"ref": "bravespacemonkey/test-theano", "kernel_id": "15328"}, {"ref": "bravespacemonkey/bench-stacked-generalization", "kernel_id": "15175"}, {"ref": "vinodmang/categorical-variable-distro-in-hazard", "kernel_id": "13962"}, {"ref": "tropianhs/simple-rf-julia", "kernel_id": "8447"}, {"ref": "oliversherouse/interact-with-all-the-things", "kernel_id": "15455"}, {"ref": "jahandideh/random-forest-benchmark1", "kernel_id": "8065"}, {"ref": "jahandideh/random-forest-benchmark", "kernel_id": "7945"}, {"ref": "jahandideh/random-forest-benchmarkww", "kernel_id": "11445"}, {"ref": "sionek/nominal-ordinal-syndrome-01", "kernel_id": "10570"}, {"ref": "sionek/factortonumeric2", "kernel_id": "17314"}, {"ref": "sionek/nominal-ordinal-syndrome-05", "kernel_id": "10759"}, {"ref": "rihabba/notebook-e984ba8b499d5cf6449f", "kernel_id": "40553"}, {"ref": "seungkuk/test-my-test", "kernel_id": "10141"}, {"ref": "vkat72293/random-forest-benchmark-1", "kernel_id": "13698"}, {"ref": "vkat72293/bagplot-of-hazard-and-id", "kernel_id": "15464"}, {"ref": "esemi77/ensemble-xgboost-rf-0-41", "kernel_id": "10854"}, {"ref": "esemi77/intial-test", "kernel_id": "10847"}, {"ref": "mschou/randomforest-forking-around", "kernel_id": "14575"}, {"ref": "burakonal/random-forest-benchmark", "kernel_id": "7899"}, {"ref": "zengzc/compare-variables-between-train-and-test", "kernel_id": "14840"}, {"ref": "miaohe1/abcdef", "kernel_id": "28306"}, {"ref": "linkanray/xgb-apply", "kernel_id": "13896"}, {"ref": "amlight/gradientboosting-lb-0-376", "kernel_id": "12147"}, {"ref": "znafziger/xgboost-benchmark-0-38019", "kernel_id": "7861"}, {"ref": "znafziger/test-test", "kernel_id": "7920"}, {"ref": "kpogrebenko/features-selection-correlation-betwen", "kernel_id": "11633"}, {"ref": "abednadir/blah-xgbg16", "kernel_id": "11483"}, {"ref": "abednadir/blah-xgbasdf", "kernel_id": "11484"}, {"ref": "abednadir/blah-xgb121", "kernel_id": "11330"}, {"ref": "abednadir/blah-xgb", "kernel_id": "11472"}, {"ref": "abednadir/r-znominal-ordinal-syndrome-tryagainblah", "kernel_id": "10088"}, {"ref": "abednadir/nominal-ordinal-syndrome-555", "kernel_id": "10123"}, {"ref": "abednadir/nominal-ordinal-syndrome-006", "kernel_id": "10008"}, {"ref": "abednadir/r-xgboost-good-asdfaw", "kernel_id": "9835"}, {"ref": "abednadir/rf-mine", "kernel_id": "9836"}, {"ref": "abednadir/r-xgboosters7rfcal", "kernel_id": "9899"}, {"ref": "abednadir/r-xgbooster", "kernel_id": "9854"}, {"ref": "rhoslug/housing-hazard-modeling-v0-1", "kernel_id": "8334"}, {"ref": "pmadhu/neuralnet-model", "kernel_id": "8320"}, {"ref": "martindevaney/mutual1", "kernel_id": "17486"}, {"ref": "blackfire/random-forest-benchmark", "kernel_id": "7734"}, {"ref": "mozi1210/random-forest-benchmark", "kernel_id": "7797"}, {"ref": "willimopena/random-forest-benchmark", "kernel_id": "8158"}, {"ref": "inigoml/random-forest-benchmark", "kernel_id": "8331"}, {"ref": "jals123/blah-xgb", "kernel_id": "13181"}, {"ref": "oussamaahmia/ahmia-oussama", "kernel_id": "8154"}, {"ref": "oussamaahmia/test-test-giba1", "kernel_id": "8150"}, {"ref": "oussamaahmia/oussama-xgboostp", "kernel_id": "8270"}, {"ref": "oussamaahmia/oussamap", "kernel_id": "8272"}, {"ref": "oussamaahmia/oussamabest1", "kernel_id": "8273"}, {"ref": "oussamaahmia/cpunum", "kernel_id": "11726"}, {"ref": "jahumada/combining-models-xgboost-rf-0-37568", "kernel_id": "8077"}, {"ref": "randel/xgboost-benchmark-0-380638-improvement", "kernel_id": "8444"}, {"ref": "ouzhiqi/random-forest-benchmark", "kernel_id": "8404"}, {"ref": "deathrow007/rf-and-xgboost-r", "kernel_id": "8524"}, {"ref": "ahmedtouati/notebook-c5bed63a5fa7eaa6129f", "kernel_id": "36362"}, {"ref": "ahmedtouati/notebook-ba0418a73ed4d964ba5c", "kernel_id": "36363"}, {"ref": "nightridertanmoy/script2-bonus-trial", "kernel_id": "15016"}, {"ref": "anoxon/nominal-ordinal-syndrome-00b", "kernel_id": "10354"}, {"ref": "anoxon/blah-xgb-stupider-idea", "kernel_id": "15443"}, {"ref": "donatas/gini-scoring-simple-and-efficient", "kernel_id": "10074"}, {"ref": "ericharper451/random-forest-benchmark", "kernel_id": "11173"}, {"ref": "pchitta/clere-try", "kernel_id": "15181"}, {"ref": "pchitta/lm-nnet-try-1", "kernel_id": "13047"}, {"ref": "pchitta/lm-h2o-gbm-1", "kernel_id": "13466"}, {"ref": "pchitta/lm-glm-1", "kernel_id": "13439"}, {"ref": "pchitta/lm-bnl-1", "kernel_id": "13643"}, {"ref": "pchitta/rf-combine-try1", "kernel_id": "14177"}, {"ref": "pchitta/urf-bagging", "kernel_id": "14505"}, {"ref": "pchitta/knn1-try", "kernel_id": "14635"}, {"ref": "pchitta/lm-randomforest-try-2", "kernel_id": "12772"}, {"ref": "sweetacidity/test1", "kernel_id": "12444"}, {"ref": "mjfiix/blah-xgb", "kernel_id": "14683"}, {"ref": "seungeun/tyytwf", "kernel_id": "14492"}, {"ref": "shgold/blah-xgb", "kernel_id": "13308"}, {"ref": "dariosan/dariustesting", "kernel_id": "12014"}, {"ref": "candan/colored-histogram", "kernel_id": "13923"}, {"ref": "candan/xgbbag", "kernel_id": "14878"}, {"ref": "candan/detectcores", "kernel_id": "14291"}, {"ref": "candan/pryr1", "kernel_id": "14451"}, {"ref": "candan/test-1", "kernel_id": "14376"}, {"ref": "anshijindal/script1", "kernel_id": "18186"}, {"ref": "anshijindal/script2", "kernel_id": "18188"}, {"ref": "anshijindal/ensemble-of-rf-and-xgboost-in-r", "kernel_id": "22788"}, {"ref": "yashpatel5400/gradient-boosting-feature-significance", "kernel_id": "15590"}, {"ref": "yashpatel5400/random-forest-with-xgboost", "kernel_id": "15593"}, {"ref": "jertel/random-forest-benchmark", "kernel_id": "14422"}, {"ref": "sarmukho/bench-stacked-generalization", "kernel_id": "14235"}, {"ref": "pankajdata4u/colored-histogram", "kernel_id": "13992"}, {"ref": "zanbattosai/bench-stacked-generalization", "kernel_id": "14360"}, {"ref": "gaggin/brute-net", "kernel_id": "15741"}, {"ref": "srinisid/mlr-ctree", "kernel_id": "21836"}, {"ref": "vybhavk/xgb-feature-importance-python", "kernel_id": "155967"}, {"ref": "ustone/xgboost-in-caret-with-factortonumeric", "kernel_id": "20653"}, {"ref": "yuanmeng/random-forest-benchmar", "kernel_id": "22204"}, {"ref": "jaininho/random-forest-benchmark", "kernel_id": "20794"}, {"ref": "notaapple/bench-stacked-generalizationasdasdsad", "kernel_id": "28997"}, {"ref": "notaapple/bench-stacked-generalizationweqewe", "kernel_id": "28977"}, {"ref": "forestzhouhe/notebook-4382f26e1ee05c2f21d2", "kernel_id": "53713"}, {"ref": "mmudaliar/notebook-c091bf377fabda911d39", "kernel_id": "29145"}, {"ref": "mmudaliar/notebook-d12a3226d03cc4f2f324", "kernel_id": "29146"}, {"ref": "fengbo/notebook-7a6c9b86313186ed8761", "kernel_id": "47091"}, {"ref": "fengbo/notebook-a798bc749a91736d2716", "kernel_id": "47097"}, {"ref": "jihyeseo/inspection-regress-forecast-score", "kernel_id": "958536"}, {"ref": "khritonenkov7/notebookf87a4794b3", "kernel_id": "141660"}, {"ref": "xuhaotian/blah-xgb-stupider-idea", "kernel_id": "115916"}, {"ref": "rtmink/cs-145-project-2c", "kernel_id": "114606"}, {"ref": "rtmink/test101", "kernel_id": "124629"}, {"ref": "rtmink/title101", "kernel_id": "124637"}, {"ref": "rtmink/asdasdasdasd", "kernel_id": "124638"}, {"ref": "rtmink/asdasdasd", "kernel_id": "124639"}, {"ref": "rtmink/test-1011", "kernel_id": "121516"}, {"ref": "rtmink/test-101", "kernel_id": "121512"}, {"ref": "erickruiz/notebookf1c772e7d2", "kernel_id": "113061"}, {"ref": "erickruiz/cs145-pca-red", "kernel_id": "116860"}, {"ref": "erickruiz/cs145-project", "kernel_id": "116501"}, {"ref": "erickruiz/cs145-script", "kernel_id": "116508"}, {"ref": "stacyayaka/cs145", "kernel_id": "114564"}, {"ref": "aarotang/test-data", "kernel_id": "114619"}, {"ref": "aarotang/notebookc842e33071", "kernel_id": "114620"}, {"ref": "aarotang/notebook81140918fd", "kernel_id": "116628"}, {"ref": "denisbubel95/notebook69cef9887f", "kernel_id": "538451"}, {"ref": "denisbubel95/fork-of-fork-of-notebook357e5c0385", "kernel_id": "540156"}, {"ref": "denisbubel95/fork-of-notebook357e5c0385", "kernel_id": "539857"}, {"ref": "denisbubel95/fork-of-fork-of-notebook357e5c0385-f75d0d", "kernel_id": "540402"}, {"ref": "vervit/liberty-ml", "kernel_id": "9788550"}, {"ref": "ranjithks/ran-liberty-property-inspection-using-pycaret", "kernel_id": "10699383"}, {"ref": "akarshan97/liberity-mutual", "kernel_id": "16010464"}, {"ref": "rounakkumar/property-inspection-prediction-rounak", "kernel_id": "16836103"}, {"ref": "meowmeowplus/liberty-mutual-regress", "kernel_id": "21324143"}, {"ref": "troybernie/liberty-mutual-regress", "kernel_id": "27412482"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "alexkle/hw-4-nn-regression-problem", "kernel_id": "47692572"}, {"ref": "leontenkovegor/notebooke6d6ca02ff", "kernel_id": "112042193"}]}
{"competition_id": "4477", "kernels": [{"ref": "alexxanderlarko/simple003", "kernel_id": "11373"}, {"ref": "alexxanderlarko/sample-al001", "kernel_id": "11479"}, {"ref": "alexxanderlarko/sample-al002", "kernel_id": "11481"}, {"ref": "alexxanderlarko/sample-al003", "kernel_id": "11485"}, {"ref": "alexxanderlarko/naive-nnet-al001", "kernel_id": "11657"}, {"ref": "alexxanderlarko/sample-al004", "kernel_id": "11666"}, {"ref": "alexxanderlarko/naive-nnet-sample-al001", "kernel_id": "11670"}, {"ref": "alexxanderlarko/sample-al0031", "kernel_id": "11965"}, {"ref": "alexxanderlarko/naive-nnet-sample-al001-1", "kernel_id": "12631"}, {"ref": "gshguru/common-spatial-pattern-with-mne", "kernel_id": "7227"}, {"ref": "gshguru/simple-low-freq-0-80", "kernel_id": "10689"}, {"ref": "domcastro/write-the-features-to-file", "kernel_id": "10527"}, {"ref": "domcastro/rf-v1", "kernel_id": "11928"}, {"ref": "domcastro/convnet-auc-0-918", "kernel_id": "13193"}, {"ref": "domcastro/visual-evoked-potential-vep", "kernel_id": "14691"}, {"ref": "dchudz/ls-l-input", "kernel_id": "10508"}, {"ref": "cleerline/simple-grasp-with-sklearn-0-70-plots", "kernel_id": "8785"}, {"ref": "cleerline/plots-in-python", "kernel_id": "8760"}, {"ref": "anlthms/convnet-0-89", "kernel_id": "12893"}, {"ref": "datacanary/what-do-these-things-look-like", "kernel_id": "6879"}, {"ref": "victorcantor/convnet-auc-0-934", "kernel_id": "15096"}, {"ref": "luciferase/logistic-regression-with-r-0-65", "kernel_id": "12113"}, {"ref": "falcon/a32432432", "kernel_id": "29458"}, {"ref": "thakurrajanand/simple-grasp-with-sklearn", "kernel_id": "8125"}, {"ref": "kumareshd/simple-low-freq-0-80-another", "kernel_id": "10880"}, {"ref": "kumareshd/simple-low-freq-0-80", "kernel_id": "10678"}, {"ref": "kumareshd/simple-low-freq-0-80-changed", "kernel_id": "10819"}, {"ref": "chrisfs/simple-grasp-2", "kernel_id": "14633"}, {"ref": "titericz/simple-grasp-with-sklearn-giba", "kernel_id": "8220"}, {"ref": "titericz/simple-grasp-with-sklearn", "kernel_id": "8352"}, {"ref": "titericz/simple-low-freq-0-80-2", "kernel_id": "11068"}, {"ref": "titericz/simple003", "kernel_id": "11401"}, {"ref": "titericz/sample-gt001", "kernel_id": "11617"}, {"ref": "dantepawn/naive-nnet-0-71-0-90", "kernel_id": "12930"}, {"ref": "mandalsubhajit/simple-low-freq-0-82", "kernel_id": "10885"}, {"ref": "mandalsubhajit/simple-low-freq-0-80", "kernel_id": "10718"}, {"ref": "ijaganjac/eeg-grasp-and-lift-modified", "kernel_id": "15848"}, {"ref": "miyamamoto/notebook-88b7f468ed9272e577cd", "kernel_id": "63052"}, {"ref": "miyamamoto/notebook-37d147f1f668baab524b", "kernel_id": "63054"}, {"ref": "miyamamoto/testtesttest", "kernel_id": "62732"}, {"ref": "miyamamoto/notebook-99ed9a3bccdf9da169a9", "kernel_id": "62747"}, {"ref": "miyamamoto/test-gale", "kernel_id": "62748"}, {"ref": "miyamamoto/testtesttest2", "kernel_id": "62734"}, {"ref": "nkhuyu/naive-nnet-0-76-0-90", "kernel_id": "14119"}, {"ref": "iscyang/naive-nnet-0-71-0-90", "kernel_id": "12602"}, {"ref": "datenkieker/beat-the-benchmark-0-67", "kernel_id": "7345"}, {"ref": "usixuz/convnet-auc-0-934", "kernel_id": "14649"}, {"ref": "romanos/initial-data-exploration", "kernel_id": "8702"}, {"ref": "stefaneng/simple-python-pandas-plots", "kernel_id": "10712"}, {"ref": "leizhou/naive-nnet-0-71-0-90", "kernel_id": "13187"}, {"ref": "alexandrebarachant/beat-the-benchmark-0-67", "kernel_id": "7335"}, {"ref": "alexandrebarachant/common-spatial-pattern-with-mne", "kernel_id": "7154"}, {"ref": "alexandrebarachant/simple-grasp-cross-validation", "kernel_id": "8008"}, {"ref": "alexandrebarachant/visual-evoked-potential-vep", "kernel_id": "14687"}, {"ref": "lnicalo/convnet-auc-0-934", "kernel_id": "14578"}, {"ref": "lnicalo/simple-low-freq-0-80", "kernel_id": "10646"}, {"ref": "lnicalo/naive-nnet", "kernel_id": "10945"}, {"ref": "serimp/notebook-eb1df4c3fa6d266cee73", "kernel_id": "22603"}, {"ref": "serimp/notebook-8bd1c254dda964d08e25", "kernel_id": "22604"}, {"ref": "serimp/beat-the-benchmark-0-708", "kernel_id": "27940"}, {"ref": "ajoo88/low-freq-0-80-refactored-2", "kernel_id": "12085"}, {"ref": "ajoo88/low-freq-0-80-refactored", "kernel_id": "11901"}, {"ref": "subhajitiitb/convnet-auc-0-934", "kernel_id": "13691"}, {"ref": "thesingularity/testd", "kernel_id": "35043"}, {"ref": "thesingularity/notebook-6d15cd652c8d6bb83777", "kernel_id": "35044"}, {"ref": "devinanzelmo/beat-the-benchmark-0-67", "kernel_id": "10544"}, {"ref": "elenacuoco/simple-grasp-with-sklearn", "kernel_id": "7808"}, {"ref": "zafarali/notebook-1b50f8c19f0d1e82ee00", "kernel_id": "28369"}, {"ref": "zafarali/notebook-08d6f6930eb92622051a", "kernel_id": "28074"}, {"ref": "davidnola/notebook3d41babe63", "kernel_id": "95312"}, {"ref": "shashank27392/convnet-auc-0-934", "kernel_id": "24985"}, {"ref": "jianminsun/simple-low-freq-0-80-2", "kernel_id": "11221"}, {"ref": "smilesun/convnet-auc-0-934", "kernel_id": "14864"}, {"ref": "tetsurotayama/test-script", "kernel_id": "7433"}, {"ref": "sujeeth/checking", "kernel_id": "14055"}, {"ref": "alielhassouni/rf-lda-lr-v2-1-combining", "kernel_id": "13730"}, {"ref": "mostafafr/rf-lda-lr-v2-1", "kernel_id": "12245"}, {"ref": "johnnystrings/rf-lda-lr-v2-1-combining", "kernel_id": "14552"}, {"ref": "minorunakazawa/notebook-28d043e6e56d9721f1a9", "kernel_id": "73352"}, {"ref": "sauliuzt/naive-nnet", "kernel_id": "11411"}, {"ref": "maorsh94/maorsh", "kernel_id": "26362"}, {"ref": "sefficohen/simple-grasp-with-sklearn-0-70", "kernel_id": "8254"}, {"ref": "icebin/grasp-1", "kernel_id": "15457"}, {"ref": "sanmitra/beat-the-benchmark-0-67", "kernel_id": "10252"}, {"ref": "jjjphysics/convnet-auc-0-934", "kernel_id": "14958"}, {"ref": "deepcnn/rf-lda-lr", "kernel_id": "12023"}, {"ref": "deepcnn/simple-grasp-with-sklearn-0-70", "kernel_id": "10561"}, {"ref": "junhosong/first-view-of-the-data", "kernel_id": "10148"}, {"ref": "interesting/rf-lda-lr-v2-1-combining", "kernel_id": "15003"}, {"ref": "eilbeigi/visual", "kernel_id": "170562"}, {"ref": "bitsofbits/naive-nnet", "kernel_id": "10831"}, {"ref": "karthikmurali11/logistic-regression-with-r-0-65", "kernel_id": "10603"}, {"ref": "acshock/do-you-need-mne", "kernel_id": "7499"}, {"ref": "acshock/how-noisy-are-these-eegs", "kernel_id": "7095"}, {"ref": "duttaroy/rf-lda-lr-v2-1", "kernel_id": "12914"}, {"ref": "duttaroy/benchmark-better", "kernel_id": "7772"}, {"ref": "visoks/first-view-of-the-data", "kernel_id": "15071"}, {"ref": "iwgtus/copyegg", "kernel_id": "12214"}, {"ref": "nester/rf-lda-lr-v2-1", "kernel_id": "12744"}, {"ref": "nikitakis/stackingmodel-cv-multiprocessing-0-84", "kernel_id": "13506"}, {"ref": "oleksandrvorobiov/naive-nnet", "kernel_id": "11272"}, {"ref": "dfumento/naive-nnet-0-71-0-90", "kernel_id": "12430"}, {"ref": "kotomord/rf-lda-lr-v2-1-combining", "kernel_id": "13571"}, {"ref": "hdamir/notebook-d8d83dbcb51692125576", "kernel_id": "25544"}, {"ref": "ptrblck/common-spatial-pattern-with-mne", "kernel_id": "17070"}, {"ref": "singhanurag/common-spatial-pattern-with-mne", "kernel_id": "7198"}, {"ref": "karma86/neural-nets", "kernel_id": "10367"}, {"ref": "karma86/simple-grasp-with-sklearn-v-2", "kernel_id": "10473"}, {"ref": "karma86/rf-lda-lr-v2-1", "kernel_id": "12078"}, {"ref": "leotam/naive-nnet-0-90", "kernel_id": "13007"}, {"ref": "geeves/notebook-642127ef29e8fd729b74", "kernel_id": "29723"}, {"ref": "pchaville/do-you-need-mne", "kernel_id": "8423"}, {"ref": "ramizqandah/what-do-these-things-look-like", "kernel_id": "7367"}, {"ref": "meiyi1986/beat-the-benchmark-0-67", "kernel_id": "8275"}, {"ref": "sunmoon/beat-the-benchmark-0-708", "kernel_id": "11701"}, {"ref": "sionek/simple-low-freq-0-80", "kernel_id": "10729"}, {"ref": "sionek/rf-lda-lr-v2-1-combining", "kernel_id": "13622"}, {"ref": "nathanelbaz/first-view-of-the-data", "kernel_id": "10410"}, {"ref": "ymersvennson/notebook-5f0918c211413754a3ae", "kernel_id": "27109"}, {"ref": "cerberusd/testt", "kernel_id": "14480"}, {"ref": "cerberusd/simple-grasp-with-sklearn-0-70", "kernel_id": "14448"}, {"ref": "cerberusd/lasag", "kernel_id": "15187"}, {"ref": "cerberusd/csp-nn", "kernel_id": "15190"}, {"ref": "cerberusd/simple-grasp-nn", "kernel_id": "15191"}, {"ref": "cerberusd/simple-grasp-cnn", "kernel_id": "15801"}, {"ref": "linkanray/eeg-submission", "kernel_id": "13235"}, {"ref": "akhmedov1828/eeg003", "kernel_id": "11355"}, {"ref": "andrew0harney/signal-and-event-management-utility", "kernel_id": "7497"}, {"ref": "knishida/simple-grasp-cross-validation", "kernel_id": "8165"}, {"ref": "ankitg/common-spatial-pattern-with-mne", "kernel_id": "7254"}, {"ref": "dreamdelta/simple-grasp-with-sklearn-tanmay-s0-70", "kernel_id": "9888"}, {"ref": "dreamdelta/simple-grasp-with-sklearn-t-0-70", "kernel_id": "9826"}, {"ref": "dreamdelta/simple-grasp-with-sklearn-0-70", "kernel_id": "9833"}, {"ref": "dreamdelta/addbandpass", "kernel_id": "10323"}, {"ref": "vivianchiang/beat-the-benchmark-0-708", "kernel_id": "11222"}, {"ref": "xophe92/first-view-of-the-data", "kernel_id": "8786"}, {"ref": "tortelal/prova", "kernel_id": "13788"}, {"ref": "henryoswald/beat-the-benchmark-0-67", "kernel_id": "7976"}, {"ref": "utk4rsh/notebook1", "kernel_id": "65034"}, {"ref": "edgarllamas/kaggle", "kernel_id": "12090"}, {"ref": "ankitag9/beat-the-benchmark-0-67", "kernel_id": "8721"}, {"ref": "juliankopkalarsen/simple-grasp-with-sklearn-0-70", "kernel_id": "8727"}, {"ref": "juliankopkalarsen/support-vector-machine", "kernel_id": "8753"}, {"ref": "wgpierce/first-view-of-the-data", "kernel_id": "10291"}, {"ref": "abhigenie92/beat-the-benchmark-0-708", "kernel_id": "10766"}, {"ref": "hamedmp/beat-the-benchmark-0-708", "kernel_id": "13077"}, {"ref": "wordsforthewise/notebook6fc09b887a", "kernel_id": "218628"}, {"ref": "merwin/nnet-stuff", "kernel_id": "12971"}, {"ref": "merwin/logistic-regression-with-r-0-65", "kernel_id": "12978"}, {"ref": "pabhishek/beat-the-benchmark-0-708", "kernel_id": "13346"}, {"ref": "raihanmasud/simple-convnet-lasagne-nolearn-gled", "kernel_id": "16039"}, {"ref": "mrxixo/simple-grasp-with-sklearn-0-70", "kernel_id": "13661"}, {"ref": "sarmukho/convnet-auc-0-934", "kernel_id": "13773"}, {"ref": "allenbk/notebook-5f9c03a8cee9a4b7a5e2", "kernel_id": "27919"}, {"ref": "zhangqinglin/notebook-8b74fd2a0f36c2543f2d", "kernel_id": "52552"}, {"ref": "alcaspar37/grasp-and-learn", "kernel_id": "176120"}, {"ref": "clg0000/notebook-857a34f5d38acc5407b1", "kernel_id": "24424"}, {"ref": "ejfinch/testing-kaggle-script", "kernel_id": "19378"}, {"ref": "ejfinch/testjfjf", "kernel_id": "25194"}, {"ref": "ejfinch/tests", "kernel_id": "25195"}, {"ref": "ejfinch/testt", "kernel_id": "25196"}, {"ref": "ejfinch/test1111", "kernel_id": "24781"}, {"ref": "yydxlv/eeg-for-fun", "kernel_id": "69359"}, {"ref": "yydxlv/notebook-169feaa102bcccd21081", "kernel_id": "69363"}, {"ref": "whyock/notebook-c0093788e4bb7f64cac5", "kernel_id": "23243"}, {"ref": "gouldberg/visual-evoked-potential-vep", "kernel_id": "20273"}, {"ref": "mattgough/test1", "kernel_id": "22222"}, {"ref": "chenzhibo/notebook-96da3827f0bc81307edc", "kernel_id": "26604"}, {"ref": "georgepanag/notebook-3da46c20484eb0ab6e56", "kernel_id": "34177"}, {"ref": "renelancine/mindbigudem-fft-pca", "kernel_id": "30485"}, {"ref": "renelancine/notebook-4a8844bf578ea3825f0b", "kernel_id": "30470"}, {"ref": "bangdingou/notebook-0b16ef79ff516b974113", "kernel_id": "23697"}, {"ref": "tedferreira/convnet-auc-0-934", "kernel_id": "25168"}, {"ref": "emotiv/notebook-f5b4d1d6e60d2810067e", "kernel_id": "79323"}, {"ref": "emotiv/notebook-4af2a816bbf0d25ccdd2", "kernel_id": "70706"}, {"ref": "erikreppel/notebook-cff6d0803d4e8b2fc34d", "kernel_id": "69347"}, {"ref": "zoeyxt/notebook-01812e6bbfb2bf83c881", "kernel_id": "27918"}, {"ref": "burakyilmaz321/notebook65e09f89f9", "kernel_id": "165256"}, {"ref": "jihyeseo/eeg-gal-detect-6-events-forecast", "kernel_id": "958538"}, {"ref": "zhengqq99/script-test", "kernel_id": "54161"}, {"ref": "ivamshky/notebook-fe4117bf295917b6e08f", "kernel_id": "68073"}, {"ref": "erdemdevge/notebook1ed9f6c857", "kernel_id": "115372"}, {"ref": "erdemdevge/notebookeba74a2ee3", "kernel_id": "115501"}, {"ref": "babatee/notebookef8e0ab80c", "kernel_id": "95629"}, {"ref": "bobbyrogers/notebook-d3cb5295c8eb9f3564bf", "kernel_id": "65303"}, {"ref": "kickview1/kv-test", "kernel_id": "91343"}, {"ref": "pschiavo/notebook702c307319", "kernel_id": "137628"}, {"ref": "konglingran/simple-grasp-with-sklearn-0-70", "kernel_id": "130121"}, {"ref": "dianluyuanli88/notebookf944be8b95", "kernel_id": "218058"}, {"ref": "phoenixqm/notebookac6d2e1238", "kernel_id": "132724"}, {"ref": "hxiancui/notebooke14028633a", "kernel_id": "140906"}, {"ref": "luckysonny/notebook4baf14af29", "kernel_id": "157288"}, {"ref": "alexshenhx/convnet-auc-0-934", "kernel_id": "254169"}, {"ref": "kraxximus/eegal", "kernel_id": "821850"}, {"ref": "masonblier/grasp-and-lift-eeg-dtw-eda", "kernel_id": "3120279"}, {"ref": "yeahman/main-grasp", "kernel_id": "3944860"}, {"ref": "vlastimilm/ui-project", "kernel_id": "4334570"}, {"ref": "vinaykm/eeg-and-dl", "kernel_id": "4804316"}, {"ref": "zaaabik/kernel194504f48e", "kernel_id": "7101511"}, {"ref": "zaaabik/kernel5fa38d7030", "kernel_id": "7030764"}, {"ref": "nefiseuysal/grasp-and-lift-movement-detection-with-dl", "kernel_id": "10588573"}, {"ref": "nefiseuysal/grasp-and-lift-movement-detection-with-ml", "kernel_id": "10587404"}, {"ref": "jaichaudhry323/grasp-and-lift-movement-detection-with-dl", "kernel_id": "12496738"}, {"ref": "widhiwinata/grasp-and-lift-movement-detection-with-dl", "kernel_id": "12779397"}, {"ref": "widhiwinata/grasp-and-lift-movement-detection-with-ml", "kernel_id": "13634227"}, {"ref": "pradyumnamohani/eeg-predict-test-prady", "kernel_id": "14929859"}, {"ref": "zeintiz/grasp-and-lift-movement-detection-with-dl", "kernel_id": "16481617"}, {"ref": "banggiangle/cnn-eeg-pytorch", "kernel_id": "16199735"}, {"ref": "hiepdotranminh/notebook1f79fcd314", "kernel_id": "21636712"}, {"ref": "fujitter/eeg-cnn-tensorflow", "kernel_id": "24730180"}, {"ref": "dangeadityan/motor-imagery-prediction", "kernel_id": "26776481"}, {"ref": "udaykumarchinnala/3d-arm-lift-movement-detection-with-ml", "kernel_id": "27209215"}, {"ref": "samtapes/unsupervised-eeg-artifact-classificator", "kernel_id": "30137150"}, {"ref": "samtapes/unsupervised-eeg-artifact-classificator-v2", "kernel_id": "30668506"}, {"ref": "kuaternion/moving-correlation", "kernel_id": "30206517"}, {"ref": "aarajbhattarai/gesture-recognition", "kernel_id": "40439047"}, {"ref": "rostepifanov/nnspt-eeg-1d-cnn", "kernel_id": "49630947"}, {"ref": "hanalhamud/alhamudhan-eeg-classification", "kernel_id": "53344397"}, {"ref": "hanalhamud/1-by-han", "kernel_id": "53336896"}, {"ref": "oulcanakca/fundamentals-of-biomedical-signal-processing-proje", "kernel_id": "80831361"}, {"ref": "efekurnaz/biyomedikal-projesii", "kernel_id": "84969295"}, {"ref": "onurmert/biomedical-signal-project2", "kernel_id": "85001492"}, {"ref": "baaktopuolu/fundamentals-of-biomedical-signal-processing-final", "kernel_id": "85127969"}, {"ref": "barosumut/biomedical-signal-processing-final-code", "kernel_id": "85500251"}, {"ref": "sanjukinpinem/notebook647f090f46", "kernel_id": "103320279"}, {"ref": "widhiwinata/gasp-loso", "kernel_id": "132873058"}]}
{"competition_id": "4481", "kernels": [{"ref": "alexxanderlarko/check777al", "kernel_id": "18459"}, {"ref": "alexxanderlarko/furthermodifiedcosine-007600-al2", "kernel_id": "17405"}, {"ref": "alexxanderlarko/furthermodifiedcosine-007603adj-al4", "kernel_id": "17507"}, {"ref": "tkwijaya/explore-data", "kernel_id": "13866"}, {"ref": "domcastro/bbbbb", "kernel_id": "18025"}, {"ref": "domcastro/even-further", "kernel_id": "18021"}, {"ref": "domcastro/furthermodifiedcosine-007600", "kernel_id": "17111"}, {"ref": "domcastro/similarity-5", "kernel_id": "16838"}, {"ref": "dchudz/what-files-are-there-1", "kernel_id": "9928"}, {"ref": "dchudz/julia-template-1", "kernel_id": "9929"}, {"ref": "dchudz/python-template", "kernel_id": "9930"}, {"ref": "dchudz/rmarkdown-template-1", "kernel_id": "9931"}, {"ref": "abhishek/modified-cosine-similarity-0-00556", "kernel_id": "11416"}, {"ref": "abhishek/modified-cosine-similarity-0-00644", "kernel_id": "12542"}, {"ref": "tks0123456789/seaborn-visualization", "kernel_id": "17044"}, {"ref": "mattvonrohr/installed-python-packages", "kernel_id": "11358"}, {"ref": "mattvonrohr/wordcloud", "kernel_id": "11384"}, {"ref": "skroth/furthermodifiedcosine-007603adj", "kernel_id": "18381"}, {"ref": "n3n77i/coupon-purchase-j-temp", "kernel_id": "9992"}, {"ref": "n3n77i/xl-cluster-j-temp", "kernel_id": "10001"}, {"ref": "n3n77i/j-vector-index-quicksort-sortii", "kernel_id": "12583"}, {"ref": "n3n77i/j-map10-dif", "kernel_id": "12659"}, {"ref": "n3n77i/j-rxd2", "kernel_id": "11487"}, {"ref": "n3n77i/julia-template", "kernel_id": "11653"}, {"ref": "n3n77i/j-logtab-recycling-test", "kernel_id": "10924"}, {"ref": "n3n77i/j-logtable2", "kernel_id": "10891"}, {"ref": "n3n77i/j-logtable2-2", "kernel_id": "10903"}, {"ref": "n3n77i/j-logtable2-3", "kernel_id": "11070"}, {"ref": "n3n77i/j-xdict-genrecount", "kernel_id": "11095"}, {"ref": "n3n77i/coupon-utilitylab-300-loc", "kernel_id": "13332"}, {"ref": "n3n77i/ulab-pt-2", "kernel_id": "17869"}, {"ref": "qqlara/sandbox", "kernel_id": "18054"}, {"ref": "sbalajis/read-data-and-simple-processing", "kernel_id": "13175"}, {"ref": "dozsyy/check777", "kernel_id": "18516"}, {"ref": "kunjal/enhanced-wights-cosine-similarity", "kernel_id": "16182"}, {"ref": "kunjal/modified-cosine-similarity-0-00632", "kernel_id": "11699"}, {"ref": "nemesis2/furthermodifiedcosine-007603adj", "kernel_id": "17899"}, {"ref": "zhuwenxiang/furthermodifiedcosine-007603adj", "kernel_id": "18351"}, {"ref": "cashfeg/0-00644coupon", "kernel_id": "12489"}, {"ref": "cashfeg/0-00540coupon", "kernel_id": "12490"}, {"ref": "makotoinoue/coupon-detail-train-rmd", "kernel_id": "16067"}, {"ref": "makotoinoue/coupon-list-train-data-exploration", "kernel_id": "16035"}, {"ref": "makotoinoue/user-list-data-exploration", "kernel_id": "16032"}, {"ref": "nagidexter/furthermodifiedcosinez-007603adj", "kernel_id": "18389"}, {"ref": "ssedhain/script", "kernel_id": "12516"}, {"ref": "titericz/similarity-1", "kernel_id": "16652"}, {"ref": "vykhand/0-00644coupon", "kernel_id": "12485"}, {"ref": "vykhand/test1", "kernel_id": "12036"}, {"ref": "mikeskim/public-private-of-0-008759-0-006471", "kernel_id": "18785"}, {"ref": "chandrad/cosine-similarity", "kernel_id": "10394"}, {"ref": "chandrad/cosine-similarity-of-user-and-coupon", "kernel_id": "10271"}, {"ref": "chandrad/versions", "kernel_id": "9997"}, {"ref": "mandalsubhajit/match-by-ken-name", "kernel_id": "10071"}, {"ref": "mandalsubhajit/cosine-similarity-of-user-and-coupon", "kernel_id": "10165"}, {"ref": "mandalsubhajit/modified-cosine-similarity-0-00556", "kernel_id": "11072"}, {"ref": "mandalsubhajit/furthermodifiedcosine-007617adj1", "kernel_id": "17719"}, {"ref": "mpearmain/furthermodifiedcosine-007617adj1", "kernel_id": "18396"}, {"ref": "ginotesei/coupons-sales-per-user-by-week", "kernel_id": "16993"}, {"ref": "mtutek/latitude-longitude-to-kilometers", "kernel_id": "11714"}, {"ref": "gatewayblue/tester", "kernel_id": "17945"}, {"ref": "antosny/notebook-3147d4bf215f1d59e132", "kernel_id": "22467"}, {"ref": "michelj/translate-capsule-text-and-genre-name", "kernel_id": "11534"}, {"ref": "michelj/read-data-and-simple-processing", "kernel_id": "11537"}, {"ref": "ckim25/modified-cosine-similarity-0-006349", "kernel_id": "16917"}, {"ref": "szelenin/read-data-and-simple-processing", "kernel_id": "11879"}, {"ref": "rkaggle/modified-cosine-similarity-0-006253", "kernel_id": "15989"}, {"ref": "mahosg/hey-2121", "kernel_id": "10276"}, {"ref": "triskelion/cosine-similarity-of-user-and-coupon", "kernel_id": "10379"}, {"ref": "jhanni/testscript", "kernel_id": "12375"}, {"ref": "jhanni/sample-logistic-regression-script", "kernel_id": "14279"}, {"ref": "ram1angadala/modified-cosine-similarity-0-00644", "kernel_id": "13695"}, {"ref": "nkola1ds/new-script", "kernel_id": "16218"}, {"ref": "musabilal/modified-cosine-similarity", "kernel_id": "18378"}, {"ref": "musabilal/pre-processing", "kernel_id": "14178"}, {"ref": "jeanette/gower-distance-of-train-test-coupons", "kernel_id": "15194"}, {"ref": "pushpendrasingh/furthermodifiedcosine-007630", "kernel_id": "18449"}, {"ref": "outliar/test1", "kernel_id": "18018"}, {"ref": "renugunta/testing", "kernel_id": "10143"}, {"ref": "pritipatra/check777", "kernel_id": "18552"}, {"ref": "mkurnikov/modified-cos-similarity-python-edition", "kernel_id": "16563"}, {"ref": "kavender/notebook-e7c2cf6e9e6b4dfd0abb", "kernel_id": "26907"}, {"ref": "nickthegreek/translate-all-fields-using-google-trans", "kernel_id": "10827"}, {"ref": "seyvu1/notebook-a1f0775e618fde3d6e38", "kernel_id": "37257"}, {"ref": "sushize/modified-cosine-similarity-v3", "kernel_id": "12620"}, {"ref": "sushize/ssz-scr2", "kernel_id": "18122"}, {"ref": "sushize/furthermodifiedcosine-007603adj", "kernel_id": "17392"}, {"ref": "asimkievich/translate-everything-to-english-using-r", "kernel_id": "16227"}, {"ref": "csizsek/furthermodifiedcosine-007600", "kernel_id": "17235"}, {"ref": "kontoudi/duplicate-id-s", "kernel_id": "10061"}, {"ref": "kontoudi/first-approach", "kernel_id": "10021"}, {"ref": "nilotpal/check7775", "kernel_id": "18526"}, {"ref": "nilotpal/modified-cosine-similarity-0-00556", "kernel_id": "11110"}, {"ref": "cleberamaral/test5", "kernel_id": "18112"}, {"ref": "cleberamaral/test1-1", "kernel_id": "17633"}, {"ref": "cleberamaral/test11", "kernel_id": "18615"}, {"ref": "twave1/cosine-similarity-of-user-and-coupon", "kernel_id": "12491"}, {"ref": "yamaherff/notebook-cb84087c08bc87ab9d27", "kernel_id": "62701"}, {"ref": "amitchoudhary/furthermodifiedcosine-007630", "kernel_id": "18445"}, {"ref": "amitchoudhary/furthermodifiedcosine-007617adj1", "kernel_id": "18379"}, {"ref": "grigorydymov/furthermodifiedcosine-007603adj", "kernel_id": "18194"}, {"ref": "badrians/furthermodifiedcosine-007630", "kernel_id": "18401"}, {"ref": "michaelpawlus/furthermodifiedcosinez-007603adj", "kernel_id": "18392"}, {"ref": "michaelpawlus/check777", "kernel_id": "18478"}, {"ref": "michaelpawlus/furthermodifiedcosine-007600", "kernel_id": "17114"}, {"ref": "michaelpawlus/furthermodifiedcosine-007603adj", "kernel_id": "17915"}, {"ref": "michaelpawlus/modified-cosine-similarity-0-006253", "kernel_id": "16394"}, {"ref": "feliscatus/modified-cos-similarity-python-edition", "kernel_id": "98301"}, {"ref": "pinocchio/furthermodifiedcosine-007603adj", "kernel_id": "18324"}, {"ref": "cavaunpeu/beating-the-benchmark-2", "kernel_id": "11213"}, {"ref": "cavaunpeu/translate-capsule-text-and-genre-name", "kernel_id": "11194"}, {"ref": "chaos0mechanic/eda-1", "kernel_id": "13809"}, {"ref": "chaos0mechanic/eda-2", "kernel_id": "13810"}, {"ref": "chaos0mechanic/eda123", "kernel_id": "14750"}, {"ref": "chenyuio/notebookdcca52615e", "kernel_id": "91271"}, {"ref": "vivekaditya/assignment", "kernel_id": "16999"}, {"ref": "jsrice/modified-cosine-similarity-0-006253", "kernel_id": "14774"}, {"ref": "abhijitk/modified-cosine-similarity-0-006253-ca", "kernel_id": "16574"}, {"ref": "abhijitk/furthermodifiedcosine-007603adj", "kernel_id": "18241"}, {"ref": "abhijitk/furthermodifiedcosine-007603adj-no-lar", "kernel_id": "18242"}, {"ref": "tetsurotayama/notebook-5f5b1aab8977035f4b22", "kernel_id": "22347"}, {"ref": "jimenezluna/gower-distance-of-train-test-coupons", "kernel_id": "10285"}, {"ref": "kaorunasuno/notebook201ad3fc4b", "kernel_id": "87776"}, {"ref": "mlproness/random-forest", "kernel_id": "18600"}, {"ref": "joshuaslocum/check777", "kernel_id": "18490"}, {"ref": "joshuaslocum/furthermodifiedcosineevenmore", "kernel_id": "18354"}, {"ref": "joshuaslocum/translate-everything-to-english-using-r", "kernel_id": "16681"}, {"ref": "johnnystrings/furthermodifiedcosinez-007603adj", "kernel_id": "18355"}, {"ref": "johnnystrings/check777", "kernel_id": "18434"}, {"ref": "johnnystrings/furthermodifiedcosine-007603adj", "kernel_id": "17612"}, {"ref": "johnnystrings/similarity-2", "kernel_id": "17029"}, {"ref": "tobycheese/translate-capsule-text-and-genre-name", "kernel_id": "10482"}, {"ref": "ynreaugk/single-class-kernel-density-estimation", "kernel_id": "15034"}, {"ref": "liamconnell/scripto-uno", "kernel_id": "16678"}, {"ref": "danijelsubotic/similarity-2", "kernel_id": "16667"}, {"ref": "gingayoshizawa/modified-cosine-similarity-0-00644", "kernel_id": "12806"}, {"ref": "liecos/modified-cosine-similarity-0-00632", "kernel_id": "18461"}, {"ref": "fredhseymour/furthermodifiedcosine-007600", "kernel_id": "17109"}, {"ref": "matyastheuer/translate-to-english-all-with-backup", "kernel_id": "12640"}, {"ref": "mmasson/playing-with-coupons", "kernel_id": "13163"}, {"ref": "fviktor/japanise-english-translation-table", "kernel_id": "13101"}, {"ref": "ryutek/data-exploration", "kernel_id": "18039"}, {"ref": "ryutek/furthermodifiedcosine-007600", "kernel_id": "17362"}, {"ref": "archieindian/modified-cosine-similarity-0-00632", "kernel_id": "11686"}, {"ref": "archieindian/check777", "kernel_id": "18577"}, {"ref": "jijosunny/beating-the-benchmark", "kernel_id": "10417"}, {"ref": "jijosunny/modified-cosine-similarity-0-00632", "kernel_id": "11555"}, {"ref": "amhchiu/data-exploration", "kernel_id": "16616"}, {"ref": "melanxoluk/train", "kernel_id": "16943"}, {"ref": "bravelee/notebook-35e5867ac55a915eace1", "kernel_id": "22096"}, {"ref": "duttaroy/modified-cosine-similarity-0-00556", "kernel_id": "11227"}, {"ref": "visoks/something", "kernel_id": "15073"}, {"ref": "elhamadi/modified-cosine-similarity-x", "kernel_id": "15823"}, {"ref": "shankarpandala/first", "kernel_id": "17430"}, {"ref": "thodime/cpc-v5", "kernel_id": "10401"}, {"ref": "thodime/cpc-v6", "kernel_id": "11164"}, {"ref": "olivermeyfarth/parallel-computation-of-gower-distance", "kernel_id": "13597"}, {"ref": "prasanna23/translate-japanese-to-english-python", "kernel_id": "15539"}, {"ref": "asankaperera/test-asanka", "kernel_id": "14893"}, {"ref": "fall14123/test111", "kernel_id": "15865"}, {"ref": "manigce/explore-data", "kernel_id": "12277"}, {"ref": "manigce/test123", "kernel_id": "12281"}, {"ref": "davidl6/modified-cosine-similarity-3g", "kernel_id": "17529"}, {"ref": "prakashanand/demo-1", "kernel_id": "10211"}, {"ref": "prakashanand/first-test", "kernel_id": "10261"}, {"ref": "prakashanand/osklbnvosnklvl", "kernel_id": "10263"}, {"ref": "prakashanand/kanflak", "kernel_id": "10265"}, {"ref": "prakashanand/using-r", "kernel_id": "10268"}, {"ref": "prakashanand/testing", "kernel_id": "10269"}, {"ref": "thedoctor46/test2", "kernel_id": "18295"}, {"ref": "debayan/furthermodifiedcosine-007617adj1", "kernel_id": "18397"}, {"ref": "debayan/check777", "kernel_id": "18428"}, {"ref": "haisland0909/sample-machine-learning-script", "kernel_id": "13436"}, {"ref": "alfredomf/translate-everything-to-english-using-r", "kernel_id": "15818"}, {"ref": "priyasarkariitb/increased-number-of-features-with-cosine", "kernel_id": "12367"}, {"ref": "darkpseudo/first-test", "kernel_id": "10255"}, {"ref": "ssw5075839/cos-sim", "kernel_id": "15055"}, {"ref": "sionek/modified-cosine-similarity-0-00644", "kernel_id": "13575"}, {"ref": "sionek/modified-cosine-similarity-x", "kernel_id": "14000"}, {"ref": "msabu2015/cpn-view", "kernel_id": "16132"}, {"ref": "linkanray/explore-data", "kernel_id": "12102"}, {"ref": "linkanray/testing", "kernel_id": "12390"}, {"ref": "techface/check777", "kernel_id": "18507"}, {"ref": "thitchen/coupon", "kernel_id": "17807"}, {"ref": "alexlzzz/cosine-further-updated", "kernel_id": "18361"}, {"ref": "alexlzzz/furthermodifiedcosine-007617adj1", "kernel_id": "17821"}, {"ref": "zllake/cosine-similarity-test", "kernel_id": "10664"}, {"ref": "alexmuriuki/explore-data", "kernel_id": "12740"}, {"ref": "nightridertanmoy/trial", "kernel_id": "10423"}, {"ref": "anguyen/translate-everything-to-english-using-r", "kernel_id": "12099"}, {"ref": "tonets/0-00664coupon", "kernel_id": "12208"}, {"ref": "glushenko/11fggfghf", "kernel_id": "10418"}, {"ref": "ytange/beating-the-benchmark", "kernel_id": "29996"}, {"ref": "ytange/notebook-24c75d42666dbeb97480", "kernel_id": "21697"}, {"ref": "jpf1983/gower-distance-of-train-test-coupons", "kernel_id": "10513"}, {"ref": "komali/gower-distance-of-train-test-coupons", "kernel_id": "10956"}, {"ref": "shonaun/500th", "kernel_id": "16001"}, {"ref": "govindg14/govind", "kernel_id": "16914"}, {"ref": "imesha/notebook-31c66fe62516795387b0", "kernel_id": "20365"}, {"ref": "souravmahajan/modified-cosine-similarity-0-00632", "kernel_id": "11826"}, {"ref": "irfanazeem/irfan", "kernel_id": "16813"}, {"ref": "irfanazeem/irfan-azeem", "kernel_id": "16493"}, {"ref": "irfanazeem/areawise", "kernel_id": "17322"}, {"ref": "irfanazeem/submission-redone", "kernel_id": "17318"}, {"ref": "irfanazeem/notebook-93a7707fe79b22299189", "kernel_id": "23719"}, {"ref": "gaohuazuo/random-coupon", "kernel_id": "13261"}, {"ref": "skiaaa/furthermodifiedcosine", "kernel_id": "17316"}, {"ref": "ovikch/modified-cosine-similarity-0-006349", "kernel_id": "16805"}, {"ref": "ovikch/furthermodifiedcosine-007600", "kernel_id": "17284"}, {"ref": "twitter/modified-cosine-similarity-0-006349", "kernel_id": "16817"}, {"ref": "tmjiang/modified-cos-similarity-python-edition", "kernel_id": "18345"}, {"ref": "tmjiang/vanilla-multi-class-logistic-regression", "kernel_id": "17936"}, {"ref": "tmjiang/fork-furthermodifiedcosine-007603adj", "kernel_id": "18214"}, {"ref": "tmjiang/vanilla-bi-class-gbt", "kernel_id": "18208"}, {"ref": "tmjiang/beating-the-benchmark-python-fork", "kernel_id": "18126"}, {"ref": "tmjiang/vanilla-decision-tree", "kernel_id": "18124"}, {"ref": "ravindrakumar11/notebook-5e7d1bafbcfc8fd63922", "kernel_id": "58084"}, {"ref": "takekat/test-script", "kernel_id": "17832"}, {"ref": "santoshrout/srcoupon", "kernel_id": "17174"}, {"ref": "brassmonkey381/which-coupons-didn-t-sell", "kernel_id": "17015"}, {"ref": "martingascon/first-test", "kernel_id": "17267"}, {"ref": "tzurueyching/reading", "kernel_id": "18487"}, {"ref": "tzurueyching/testing", "kernel_id": "18488"}, {"ref": "sandeepd/coupon", "kernel_id": "17216"}, {"ref": "shalinib/notebook-09370e8d713bba7254ff", "kernel_id": "54485"}, {"ref": "dangxia/translate-everything-to-english-using-r", "kernel_id": "28770"}, {"ref": "dangxia/notebook-3ba386eb45e112d6af9e", "kernel_id": "24866"}, {"ref": "dangxia/notebook-5e7cf77274e932311c90", "kernel_id": "26077"}, {"ref": "dangxia/notebook-6d8d96227bb236039c3a", "kernel_id": "26078"}, {"ref": "zhutong1993/notebook-7d7b39fe26e438e140bb", "kernel_id": "29211"}, {"ref": "sophieko/notebook-6cb0563db2f1ca77c64b", "kernel_id": "69253"}, {"ref": "sophieko/notebook-7062c44081b4bdc30e8b", "kernel_id": "69254"}, {"ref": "hussainliyaqatdar/notebook-95231e84fe04995288a9", "kernel_id": "25538"}, {"ref": "seokho/sample-logistic-regression-script", "kernel_id": "26668"}, {"ref": "zbyongdata/notebook-cfe4c4b51296be266a29", "kernel_id": "48724"}, {"ref": "janie128/notebook-0c75885223779af120b8", "kernel_id": "32818"}, {"ref": "yinbing/notebook-4f60f92f6c70736422e4", "kernel_id": "57104"}, {"ref": "jihyeseo/coupon-purchase-eda", "kernel_id": "958280"}, {"ref": "yuchenlin1995/notebook-f80673b7db23e6849c66", "kernel_id": "63070"}, {"ref": "cloverwind624/notebookfc4e19004b", "kernel_id": "103077"}, {"ref": "zhujin/notebooke14ce607fa", "kernel_id": "118278"}, {"ref": "jehochoi/notebook-7c16b08f8f5f6b0c0dfc", "kernel_id": "75475"}, {"ref": "jehochoi/notebook-b651fccacb6c2960eb52", "kernel_id": "75476"}, {"ref": "gcasajus/translate-everything-to-english-using-r-3", "kernel_id": "220518"}, {"ref": "gcasajus/notebook25b713aea6", "kernel_id": "219465"}, {"ref": "tomharuken/notebook47aa4c36a7", "kernel_id": "161607"}, {"ref": "tomharuken/notebook03e15c469f", "kernel_id": "161608"}, {"ref": "jiangjiuchuan/check777", "kernel_id": "107213"}, {"ref": "nonieklie/notebookcb50b622c9", "kernel_id": "94321"}, {"ref": "nonieklie/notebook3a8d1acf1e", "kernel_id": "94881"}, {"ref": "tianzeliang/notebook1d716e97c3", "kernel_id": "113693"}, {"ref": "jainsanmati/coupon-purchase-prediction-testing", "kernel_id": "202424"}, {"ref": "aguinada/notebook42448e0b7a", "kernel_id": "112388"}, {"ref": "c2icil/furthermodifiedcosine-007600", "kernel_id": "107209"}, {"ref": "c2icil/notebookd4b5e671a5", "kernel_id": "102923"}, {"ref": "lp33pp66/notebookf7b7324462", "kernel_id": "133576"}, {"ref": "lp33pp66/notebooka5f446f689", "kernel_id": "136835"}, {"ref": "alexakhbar/notebook030858f9fe", "kernel_id": "134907"}, {"ref": "naomihng/translate-everything-to-english-using-r", "kernel_id": "191045"}, {"ref": "mlightm/notebookbc61708ab0", "kernel_id": "228916"}, {"ref": "raziahmed/notebook3cfc353146", "kernel_id": "241911"}, {"ref": "easydatascience/an-eda-of-coupon-s-transaction-in-vietnamese", "kernel_id": "5100298"}, {"ref": "ouwyukha/cpp-turi-rfr-adagrad", "kernel_id": "9451300"}, {"ref": "ouwyukha/cpp-turi-fr", "kernel_id": "9451363"}, {"ref": "ouwyukha/cpp-surprise", "kernel_id": "9446959"}, {"ref": "ouwyukha/cpp-turi-itemcontent", "kernel_id": "9438674"}, {"ref": "drainvers/ponpare-coupon-purchase-eda", "kernel_id": "9464814"}, {"ref": "drainvers/ponpare-coupon-benchmark-cosine", "kernel_id": "9408376"}, {"ref": "zyh1104/037-coupon-purchase-prediction", "kernel_id": "71650434"}, {"ref": "ralph1/037-coupon-purchase-prediction", "kernel_id": "85267784"}]}
{"competition_id": "4485", "kernels": []}
{"competition_id": "4486", "kernels": []}
{"competition_id": "4487", "kernels": [{"ref": "alexxanderlarko/train-small", "kernel_id": "14334"}, {"ref": "benhamner/xgboost-example", "kernel_id": "14109"}, {"ref": "benhamner/random-forest-example", "kernel_id": "14123"}, {"ref": "benhamner/r-default-script-1", "kernel_id": "14135"}, {"ref": "benhamner/python-default-script-1", "kernel_id": "14136"}, {"ref": "benhamner/julia-default-script-5", "kernel_id": "14138"}, {"ref": "benhamner/rmarkdown-default-script-1", "kernel_id": "14142"}, {"ref": "benhamner/head-of-train-file", "kernel_id": "14730"}, {"ref": "domcastro/having-a-look", "kernel_id": "14711"}, {"ref": "domcastro/having-a-look-part-2-boring", "kernel_id": "14827"}, {"ref": "domcastro/convert-dates", "kernel_id": "15927"}, {"ref": "domcastro/keras-starter-code-1", "kernel_id": "17353"}, {"ref": "webscale/finding-duplicates", "kernel_id": "16566"}, {"ref": "deepupai/script2", "kernel_id": "15606"}, {"ref": "iamivo/heeeho", "kernel_id": "16219"}, {"ref": "gausschen/exploration", "kernel_id": "14148"}, {"ref": "clinica/ctrials", "kernel_id": "18969"}, {"ref": "praveen766/trial-python", "kernel_id": "17273"}, {"ref": "whereisravi/test1", "kernel_id": "18259"}, {"ref": "heyitsryan678/test11214", "kernel_id": "16451"}, {"ref": "heyitsryan678/univariate-analysis", "kernel_id": "15426"}, {"ref": "srikantanalytics/xgboost-example-0-76178", "kernel_id": "20707"}, {"ref": "edezhath/nnet-lasagne-simple", "kernel_id": "16960"}, {"ref": "zhukov/xgboost-example-0-76178", "kernel_id": "15798"}, {"ref": "kautilya/notebook-ea26ab8d7f788e21b0af", "kernel_id": "20645"}, {"ref": "lordasart/notebookde45425254", "kernel_id": "95123"}, {"ref": "mathurinache/stochastic-gradient-descent-0-77355", "kernel_id": "20469"}, {"ref": "jeongyoonlee/notebook-fd0d60c1b46115792a6e", "kernel_id": "20527"}, {"ref": "nederhand/describe-data", "kernel_id": "14387"}, {"ref": "katedavis/xgboost-example-0-76178", "kernel_id": "18601"}, {"ref": "josealberto/digging-into-springleaf-data", "kernel_id": "19587"}, {"ref": "paweljankiewicz/notebook-2f9fbc63c9ed8f113f06", "kernel_id": "20351"}, {"ref": "flippke/test-2", "kernel_id": "16845"}, {"ref": "neggert/testing", "kernel_id": "15597"}, {"ref": "mashhoori/fix-up-city-names-var-0200", "kernel_id": "19502"}, {"ref": "garryshi/xgboost-example-0-76178", "kernel_id": "18693"}, {"ref": "garryshi/xgb-version", "kernel_id": "18777"}, {"ref": "garryshi/notebook-3d8d617cb4b0c6d852b1", "kernel_id": "51623"}, {"ref": "yuanhuitang15/notebook-3bae70f86c1e3b2208bf", "kernel_id": "30507"}, {"ref": "luciferase/xgb-3", "kernel_id": "16419"}, {"ref": "luciferase/xgb-3-with-irrelevant-columns-removed", "kernel_id": "16633"}, {"ref": "prakash5801/test1", "kernel_id": "15718"}, {"ref": "hassiktir/script", "kernel_id": "15667"}, {"ref": "ivallesp/stochastic-gradient-descent-0-77355", "kernel_id": "17871"}, {"ref": "jimthompson/feature-selection-with-boruta-package", "kernel_id": "16519"}, {"ref": "nagidexter/xgb-3-with-irrelevant-columns-removed", "kernel_id": "18388"}, {"ref": "bedwal/notebook-462a92b471a860793830", "kernel_id": "20608"}, {"ref": "bedwal/notebook-f7f4600a7ff6a6ec63a5", "kernel_id": "20609"}, {"ref": "bedwal/notebook-9860eb43bff722b521ba", "kernel_id": "20610"}, {"ref": "nishshah/xgboost-example-0-76178", "kernel_id": "18476"}, {"ref": "michelblaauw/testing-xgboost-test-0-78220", "kernel_id": "17591"}, {"ref": "vigneshprajapati/testt", "kernel_id": "18037"}, {"ref": "kumareshd/xgb-3-with-irrelevant-columns", "kernel_id": "20490"}, {"ref": "kumareshd/dividing-data", "kernel_id": "17398"}, {"ref": "kumareshd/xgb-3", "kernel_id": "16518"}, {"ref": "bigdatascientist/notebook-0d5c067be0220d8b066c", "kernel_id": "20452"}, {"ref": "kartikmehtaiitd/stochastic-gradient-descent-0-77355", "kernel_id": "15232"}, {"ref": "rocelot/r-xgboost-two-sample-combine", "kernel_id": "14285"}, {"ref": "rocelot/notebook-9ca41b6e7eb4e851a574", "kernel_id": "25747"}, {"ref": "davidhedengren/xgboost-example-0-76178", "kernel_id": "14305"}, {"ref": "pythonomic/xgb-3-with-irrelevant-columns-removed", "kernel_id": "20598"}, {"ref": "springcoil/random-forest-example-0-73156", "kernel_id": "14273"}, {"ref": "staesthetics/optimum-weight-for-ensemble", "kernel_id": "16353"}, {"ref": "chandrad/notebook-6851bebc9db77b248bf9", "kernel_id": "23108"}, {"ref": "mandalsubhajit/xgboost-example-0-76178", "kernel_id": "14226"}, {"ref": "richardfromholland/testje", "kernel_id": "16544"}, {"ref": "agrawalvikas/notebook-cf3a9cebf8521be846a3", "kernel_id": "21049"}, {"ref": "truppakr/lookout", "kernel_id": "16328"}, {"ref": "thechallengers/default", "kernel_id": "16215"}, {"ref": "mpearmain/keras-starter-code", "kernel_id": "15331"}, {"ref": "mpearmain/btb-lasagna-nn", "kernel_id": "15049"}, {"ref": "goelvj/tests", "kernel_id": "18556"}, {"ref": "dimitricarrigan/xgboost-example-0-76178", "kernel_id": "17339"}, {"ref": "mihailr812/rf-test", "kernel_id": "19861"}, {"ref": "fuxinyi/dataexploring", "kernel_id": "18166"}, {"ref": "santiagomota/xgboost-run-local-001", "kernel_id": "20246"}, {"ref": "tryharder/kagglemeetup01", "kernel_id": "19533"}, {"ref": "mrooijer/xgboost-run-local", "kernel_id": "14293"}, {"ref": "jsmalletz/notebook-0c73bafd23f3204f170f", "kernel_id": "20871"}, {"ref": "jsmalletz/notebook-1b6cd96744e39d2915c9", "kernel_id": "20872"}, {"ref": "jsmalletz/xgboost-example-0-76178", "kernel_id": "15413"}, {"ref": "jsmalletz/removing-irrelevant-vars", "kernel_id": "16293"}, {"ref": "harell/notebook-def0a2942cad7321873a", "kernel_id": "20677"}, {"ref": "skylibrary/xgb-3-with-irrelevant-columns-removed", "kernel_id": "18895"}, {"ref": "aoshea/random-forest-example-0-73156", "kernel_id": "14602"}, {"ref": "shuklaks/notebook-c48490d0056fc8450ca0", "kernel_id": "20772"}, {"ref": "prashantdheeraj/notebook-153f437b17eac5145958", "kernel_id": "20531"}, {"ref": "coderzombie/sample", "kernel_id": "17592"}, {"ref": "jiweiliu/ftrl-starter-code", "kernel_id": "14217"}, {"ref": "wangtianyi/ftrl-starter-code", "kernel_id": "16614"}, {"ref": "divingbell/tjulia", "kernel_id": "16027"}, {"ref": "ayratzay/no-name-yet-just-watching", "kernel_id": "18113"}, {"ref": "gsvijayraajaa/notebook-c018dd2036815265c2de", "kernel_id": "25638"}, {"ref": "adrianowalmeida/notebook-c990765fe3527882e0c6", "kernel_id": "20666"}, {"ref": "rrgiles/notebook-8d2b3c6013f22e7303c2", "kernel_id": "20590"}, {"ref": "rrgiles/notebook-ad0e7aad6d5cb17fe85f", "kernel_id": "20591"}, {"ref": "abualabed/hello-world", "kernel_id": "20014"}, {"ref": "drafty/testing-the-sample-script", "kernel_id": "14788"}, {"ref": "ericcouto/reading-train-and-test-using-less-memory", "kernel_id": "19654"}, {"ref": "samuellee/having-a-look", "kernel_id": "14743"}, {"ref": "usixuz/xgb-learning-rate-eta-decay", "kernel_id": "18867"}, {"ref": "nayan1247/springleaf-ver-1", "kernel_id": "17840"}, {"ref": "sixianghu/xgboost-example-0-76178", "kernel_id": "16171"}, {"ref": "jamesallen/springleaf", "kernel_id": "18165"}, {"ref": "blindfish/test-script", "kernel_id": "15294"}, {"ref": "zaxcie/notebook-3aca7dd47f7ec412d21d", "kernel_id": "21001"}, {"ref": "pankiewicz/test-1", "kernel_id": "21406"}, {"ref": "dimitrislev/xgboost-example-0-76969-2", "kernel_id": "14506"}, {"ref": "triskelion/dumbayes", "kernel_id": "16517"}, {"ref": "yosukekatada/notebook82a53a0ce2", "kernel_id": "194719"}, {"ref": "zachamedes/notebook-5d31f633f83cdae41eee", "kernel_id": "28257"}, {"ref": "sravanb/notebook-70b1a8543efbf2a59b0c", "kernel_id": "20700"}, {"ref": "ram1angadala/hellow", "kernel_id": "16435"}, {"ref": "schneid/test1", "kernel_id": "15262"}, {"ref": "ebsubudhi/test1", "kernel_id": "18630"}, {"ref": "ebsubudhi/springleaf1-r", "kernel_id": "14989"}, {"ref": "aokay47/xgboost-test", "kernel_id": "16155"}, {"ref": "aokay47/xgboost-test-0-78220", "kernel_id": "16533"}, {"ref": "tianpeiluke/notebook-756c80bb762d01e33a68", "kernel_id": "20556"}, {"ref": "ankurv857/spring-leaf", "kernel_id": "19445"}, {"ref": "ankurv857/random-forest", "kernel_id": "17632"}, {"ref": "keeshanam/notebook-9a44c0c3b911b8c6d9c5", "kernel_id": "21008"}, {"ref": "atreya/springleaf", "kernel_id": "16822"}, {"ref": "shantanupal6/kaggle-scripting-1", "kernel_id": "16655"}, {"ref": "mchahhou/notebook-6c22b6cfbfe043e2c45d", "kernel_id": "20858"}, {"ref": "mchahhou/test-mch", "kernel_id": "20863"}, {"ref": "longnguyen/notebook-f6ef2697e12bd7d67f89", "kernel_id": "20941"}, {"ref": "longnguyen/notebook-2d2976f269bc18eb0930", "kernel_id": "20943"}, {"ref": "longnguyen/stochastic-gradient-descent", "kernel_id": "17089"}, {"ref": "longnguyen/test-springleaf", "kernel_id": "17329"}, {"ref": "gunner4life/xgboost-example-0-76178", "kernel_id": "16273"}, {"ref": "prateekgaur/myreading", "kernel_id": "25978"}, {"ref": "pushpendrasingh/xgb-3-with-irrelevant-columns-removed", "kernel_id": "17858"}, {"ref": "ahaque/data-exploration", "kernel_id": "15103"}, {"ref": "pritipatra/xgboost-example-0-76969", "kernel_id": "14534"}, {"ref": "pritipatra/r-xgboost-two-sample-combine", "kernel_id": "14201"}, {"ref": "amarjeet/digging-into-springleaf-data", "kernel_id": "18533"}, {"ref": "amitmi/nothing", "kernel_id": "15158"}, {"ref": "mohdatir/xgboost-example-0-76178", "kernel_id": "20250"}, {"ref": "brianjwoo/xgboost-test-0-78220", "kernel_id": "19561"}, {"ref": "sushize/xgboost-example-0-76178", "kernel_id": "14190"}, {"ref": "sushize/xgboost-774-ssz", "kernel_id": "14431"}, {"ref": "sushize/rf-comb-ssz", "kernel_id": "14434"}, {"ref": "sushize/ftrl-starter-code-full0-773", "kernel_id": "16241"}, {"ref": "sushize/xgboost-run-local", "kernel_id": "15783"}, {"ref": "sushize/xgb-sprin-7800-ssz", "kernel_id": "15785"}, {"ref": "sushize/keras-starter-code-ssz", "kernel_id": "18307"}, {"ref": "sushize/keras-starter-code-1", "kernel_id": "17779"}, {"ref": "sushize/random-forest-example-0-73156", "kernel_id": "17449"}, {"ref": "sushize/keras-starter-code-check", "kernel_id": "20592"}, {"ref": "sushize/keras-starter-code-check2", "kernel_id": "20594"}, {"ref": "steves/xgboost-example-0-76178", "kernel_id": "16656"}, {"ref": "steves/xgboost-multiple-with-gam-blend", "kernel_id": "19403"}, {"ref": "steves/nothing-to-see-here", "kernel_id": "19537"}, {"ref": "steves/visualizing-na-values", "kernel_id": "18814"}, {"ref": "steves/xgboost-with-caret", "kernel_id": "18695"}, {"ref": "dipanjan1905/diputest", "kernel_id": "15996"}, {"ref": "potterxu/my-demo", "kernel_id": "17692"}, {"ref": "popfido/xgb-3-with-irrelevant-columns-removed", "kernel_id": "18926"}, {"ref": "r02921027/ftrl-starter-code", "kernel_id": "176987"}, {"ref": "strawberryman/random-forest-example-0-73156", "kernel_id": "14166"}, {"ref": "operdeck/fix-up-city-names", "kernel_id": "18109"}, {"ref": "cleberamaral/script-5", "kernel_id": "15890"}, {"ref": "cleberamaral/script2", "kernel_id": "14957"}, {"ref": "cleberamaral/test1", "kernel_id": "14672"}, {"ref": "kelvixx/notebook-cf9994b6a4ff36c97b37", "kernel_id": "30948"}, {"ref": "pappukrjha/spg-py", "kernel_id": "19329"}, {"ref": "andreisun/data-preprocessing", "kernel_id": "16423"}, {"ref": "andreisun/data-preview", "kernel_id": "15701"}, {"ref": "chenditc/test1", "kernel_id": "14585"}, {"ref": "andreburk/notebook-91536242ed7bcba768aa", "kernel_id": "20472"}, {"ref": "andreburk/test1", "kernel_id": "18289"}, {"ref": "karadgipooja/101pooja", "kernel_id": "17000"}, {"ref": "abanz1/test12", "kernel_id": "18774"}, {"ref": "amoghgupta/trial1", "kernel_id": "16798"}, {"ref": "vipulpatel/notebook-1899e9243f3002332da6", "kernel_id": "25646"}, {"ref": "vipulpatel/testabc", "kernel_id": "25647"}, {"ref": "michaelpawlus/xgboost-example-0-76178", "kernel_id": "14205"}, {"ref": "michaelpawlus/random-forest-example", "kernel_id": "14588"}, {"ref": "michaelpawlus/random-forest-example-0-73156", "kernel_id": "14584"}, {"ref": "michaelpawlus/xgb-3-with-irrelevant-columns-removed", "kernel_id": "17259"}, {"ref": "michaelpawlus/xgb-gridsearch", "kernel_id": "16373"}, {"ref": "michaelpawlus/xgb-3", "kernel_id": "16288"}, {"ref": "stormer1120/one12", "kernel_id": "17886"}, {"ref": "jomisilfe/trying", "kernel_id": "17354"}, {"ref": "jomisilfe/xgboost-example-0-76969", "kernel_id": "16386"}, {"ref": "chibberto/notebook-8eae66d0be42e3ee68d5", "kernel_id": "20436"}, {"ref": "ai2015/xgb-3-1", "kernel_id": "18196"}, {"ref": "ai2015/xgb-3-with-irrelevant-columns-removed", "kernel_id": "18069"}, {"ref": "ywanono/test01", "kernel_id": "16498"}, {"ref": "chaos0mechanic/script1", "kernel_id": "14890"}, {"ref": "chaos0mechanic/script2", "kernel_id": "14891"}, {"ref": "robinlee/getting-started", "kernel_id": "19060"}, {"ref": "republic966/xgb-3", "kernel_id": "19370"}, {"ref": "republic966/explore1", "kernel_id": "20132"}, {"ref": "rollingpanda/naive-bayes-code", "kernel_id": "16250"}, {"ref": "jatwood/ftrl-starter-code", "kernel_id": "17046"}, {"ref": "yuqingxue/learn-from-darragh", "kernel_id": "108391"}, {"ref": "athinaeos/xgboost-test-1-0-78220", "kernel_id": "17623"}, {"ref": "toddzzr/example-todd-1", "kernel_id": "16117"}, {"ref": "sachinvernekar/notebook-254ef31d7ddecf43e515", "kernel_id": "20988"}, {"ref": "mikeanderson/xgb-3-1", "kernel_id": "17815"}, {"ref": "mikeanderson/xgboost-run-local", "kernel_id": "20003"}, {"ref": "mikeanderson/grouping-numerics-springleaf-1", "kernel_id": "20515"}, {"ref": "diegoee/cv-accuracy-svm-with-no-char-features", "kernel_id": "18447"}, {"ref": "diegoee/svm-csv", "kernel_id": "18591"}, {"ref": "tetsurotayama/test-random-forest-importance", "kernel_id": "16321"}, {"ref": "yogendrakumar/yogendra", "kernel_id": "17020"}, {"ref": "ronnyli/train-py", "kernel_id": "17263"}, {"ref": "alielhassouni/r-xgboost-two-sample-combine", "kernel_id": "14234"}, {"ref": "feirie/first-script", "kernel_id": "17847"}, {"ref": "rninja/digging-into-springleaf-data", "kernel_id": "16525"}, {"ref": "totalrecall/exploring", "kernel_id": "14396"}, {"ref": "kalyankar/test-001", "kernel_id": "14668"}, {"ref": "liwzhi/xgb-3-with-irrelevant-columns", "kernel_id": "20769"}, {"ref": "darraghdog/grouping-numerics-springleaf", "kernel_id": "18190"}, {"ref": "darraghdog/explore-springleaf", "kernel_id": "15869"}, {"ref": "teammmss/notebook-bd32d06d00e3dd2fcad1", "kernel_id": "21257"}, {"ref": "abhinavagarwalla/springleafr", "kernel_id": "16159"}, {"ref": "rhinodaveb/xgb-2-with-eta-decay-and-rising-depth", "kernel_id": "20739"}, {"ref": "rhinodaveb/xgb-3-with-irrelevant-columns-removed-b1", "kernel_id": "19829"}, {"ref": "rhinodaveb/ftrl-starter-code-multiplicative-reg", "kernel_id": "16748"}, {"ref": "johnnystrings/xgb-3-with-irrelevant-columns-removed", "kernel_id": "16945"}, {"ref": "cauldnz/clustering-the-text-fields", "kernel_id": "20036"}, {"ref": "marbel/test-r", "kernel_id": "16646"}, {"ref": "kapetis/xgb-3-with-irrelevant-columns-removed", "kernel_id": "16570"}, {"ref": "dhruvil/xgboost-example-0-76178", "kernel_id": "17033"}, {"ref": "tonyyy/xgboost-example-0-76969", "kernel_id": "14994"}, {"ref": "sagarverma/correlation", "kernel_id": "17094"}, {"ref": "sagarverma/springleaf-preprocessing", "kernel_id": "17098"}, {"ref": "harshsinha/rnadom-forest", "kernel_id": "14344"}, {"ref": "khyh00/removing-irrelevant-vars", "kernel_id": "17193"}, {"ref": "khyh00/two-missing-variables", "kernel_id": "17194"}, {"ref": "jchaykow/fix-up-city-names-var-0200", "kernel_id": "45754"}, {"ref": "isakov/starter-code", "kernel_id": "16995"}, {"ref": "pritam108/notebook-78803ee701b84c26e7e2", "kernel_id": "20636"}, {"ref": "bra2ed/test1", "kernel_id": "15515"}, {"ref": "miboo7/test1", "kernel_id": "14813"}, {"ref": "wittmaan/random-forest-feature-importance", "kernel_id": "15583"}, {"ref": "hackami/notebook-a95ad11d5ef917a4ad9f", "kernel_id": "21566"}, {"ref": "garrettcj/springleaf1", "kernel_id": "16918"}, {"ref": "watersafe/tests", "kernel_id": "17481"}, {"ref": "watersafe/test-script", "kernel_id": "17471"}, {"ref": "prateeksinghal11/testing", "kernel_id": "15897"}, {"ref": "prateeksinghal11/testingr03", "kernel_id": "15898"}, {"ref": "budhiraja/ftrl-starter-code", "kernel_id": "14712"}, {"ref": "danielchin/having-a-look", "kernel_id": "14852"}, {"ref": "danielchin/removing-irrelevant-vars", "kernel_id": "16145"}, {"ref": "jdanielnd/pca-knn-1", "kernel_id": "19661"}, {"ref": "dowakin/removing-irrelevant-vars", "kernel_id": "17068"}, {"ref": "dajiana/xgboost-test-linear", "kernel_id": "19051"}, {"ref": "dajiana/xgboost-test-0-78220", "kernel_id": "19043"}, {"ref": "dajiana/xgboost-test-na", "kernel_id": "19167"}, {"ref": "skylord/drf-using-h2o-0-72780", "kernel_id": "16936"}, {"ref": "brahul/myscript", "kernel_id": "18011"}, {"ref": "ashhafez/xgb-learning-rate-eta-decay", "kernel_id": "18750"}, {"ref": "kanitsr/1211212", "kernel_id": "17979"}, {"ref": "maddarwin/xgboost-example-0-76178", "kernel_id": "14630"}, {"ref": "dannichen/notebook-25e8c1e4f6ea38f9bb54", "kernel_id": "26804"}, {"ref": "bdbozyk/mehhh", "kernel_id": "15257"}, {"ref": "omondi/xgboost-example-0-76178", "kernel_id": "22642"}, {"ref": "rbhadra/exploration", "kernel_id": "15496"}, {"ref": "rbhadra/exploring-data", "kernel_id": "15382"}, {"ref": "ranyu92/keras-starter-code", "kernel_id": "17428"}, {"ref": "newbiekaggler/xgboost-example-0-76178", "kernel_id": "20064"}, {"ref": "zzz179/notebook-6ba48a02adedf4905e9e", "kernel_id": "21088"}, {"ref": "garygan/notebook-258af502f242bdaaf84a", "kernel_id": "27193"}, {"ref": "garygan/notebook-92740fb1911c4ac05f8b", "kernel_id": "24235"}, {"ref": "mingjerli/xgboost-example-0-76969", "kernel_id": "18411"}, {"ref": "mestari/xgb-3-with-irrelevant-columns-removed", "kernel_id": "17480"}, {"ref": "jianren/stochastic-gradient-descent-0-77355", "kernel_id": "16185"}, {"ref": "vishwadil07/notebook-b089c1d931de35dafd55", "kernel_id": "40578"}, {"ref": "deepcnn/nnet-lasagne-simple", "kernel_id": "15308"}, {"ref": "deepcnn/nnet-simple-test", "kernel_id": "15310"}, {"ref": "dayibian/xgboost-example-0-76969", "kernel_id": "14290"}, {"ref": "dpaul93/kaggledeb", "kernel_id": "16946"}, {"ref": "dpaul93/variableanalysis", "kernel_id": "17013"}, {"ref": "dpaul93/datacleandeb", "kernel_id": "17040"}, {"ref": "dpaul93/springleafdebjyoti", "kernel_id": "16791"}, {"ref": "justfor/variance-xgb-78346", "kernel_id": "20354"}, {"ref": "hmboxwala/random-forest-example-0-73156", "kernel_id": "14785"}, {"ref": "hmboxwala/xgb-3-with-irrelevant-columns-removed", "kernel_id": "17431"}, {"ref": "hmboxwala/trying-new-things", "kernel_id": "16164"}, {"ref": "hmboxwala/random-forest-imp-nnet", "kernel_id": "15816"}, {"ref": "hmboxwala/random-forest-imp-xgboost", "kernel_id": "15551"}, {"ref": "hmboxwala/trying-glmnet-1", "kernel_id": "15161"}, {"ref": "hmboxwala/checking-parallel", "kernel_id": "15164"}, {"ref": "fatihf/script", "kernel_id": "15820"}, {"ref": "jitintanwar/test123", "kernel_id": "19155"}, {"ref": "samratvk/example-script", "kernel_id": "18494"}, {"ref": "signochastic/xgb-test", "kernel_id": "20328"}, {"ref": "loic74/first", "kernel_id": "18662"}, {"ref": "supernova117/ftrl-with-validation-and-auc", "kernel_id": "16768"}, {"ref": "dithyrambe/ftrl-starter-code", "kernel_id": "18142"}, {"ref": "gcremi92/notebook-e6b6a406bc0ecfc8cef1", "kernel_id": "20497"}, {"ref": "rmxkaggle/xgb3-latest-version", "kernel_id": "18023"}, {"ref": "rmxkaggle/xgb-3-with-irrelevant-columns-removed", "kernel_id": "17724"}, {"ref": "zhugds/xgb-springleaf", "kernel_id": "20379"}, {"ref": "jediml/springleaf-exp", "kernel_id": "17651"}, {"ref": "barbuirina19/testing-scripts", "kernel_id": "18317"}, {"ref": "ilyaagashkov/relate", "kernel_id": "18104"}, {"ref": "taekeharkema/test1", "kernel_id": "14261"}, {"ref": "rajendraprasadchepur/testscript", "kernel_id": "17609"}, {"ref": "chiuyeelau/digging-into-springleaf-data", "kernel_id": "16675"}, {"ref": "baba5246/xgboost-example-0-76969", "kernel_id": "15385"}, {"ref": "gouravjeets/script1", "kernel_id": "15411"}, {"ref": "gouravjeets/script2", "kernel_id": "15412"}, {"ref": "hidayatkhan/performance-evaluation", "kernel_id": "18703"}, {"ref": "visoks/xgboost-example-0-76969", "kernel_id": "15409"}, {"ref": "achuthraomv/check", "kernel_id": "15914"}, {"ref": "mark42/just-seeing-possibilities", "kernel_id": "16905"}, {"ref": "msannikov/notebook-4d8a96ef09456881f20e", "kernel_id": "20877"}, {"ref": "apshreyans/smr-my-17", "kernel_id": "20549"}, {"ref": "apshreyans/copied-one", "kernel_id": "20804"}, {"ref": "ajayedap/notebook-a767e9020cb0595c0d3f", "kernel_id": "82424"}, {"ref": "thodime/sp-v1", "kernel_id": "14412"}, {"ref": "thodime/splv22", "kernel_id": "15242"}, {"ref": "thodime/spring-v10", "kernel_id": "15998"}, {"ref": "thodime/sping-v12", "kernel_id": "15572"}, {"ref": "thodime/sping-v6", "kernel_id": "15565"}, {"ref": "fsimond/digging-into-springleaf-data", "kernel_id": "17455"}, {"ref": "saurabh1331/test-all", "kernel_id": "19578"}, {"ref": "vittoria/notebook-efd0ad0677a9e132b258", "kernel_id": "21826"}, {"ref": "sz3fkuchni/notebook-b584b8cb6e6bbc7c498f", "kernel_id": "23739"}, {"ref": "pavolzilecky/springleaf-competition", "kernel_id": "17964"}, {"ref": "dreeux/test-script", "kernel_id": "14877"}, {"ref": "narekhnh/testing", "kernel_id": "14858"}, {"ref": "chriscc/load-data", "kernel_id": "16312"}, {"ref": "hiendang/xgb-sprin-7800-ssz", "kernel_id": "16263"}, {"ref": "hiendang/keras-starter-code", "kernel_id": "15504"}, {"ref": "wawanco/data-ownership", "kernel_id": "18710"}, {"ref": "wawanco/handle-city-names", "kernel_id": "18811"}, {"ref": "wawanco/data-ownership-numeric-features", "kernel_id": "18802"}, {"ref": "wawanco/data-ownership-categorical", "kernel_id": "18924"}, {"ref": "chambox/fix-up-city-names-var-0200", "kernel_id": "18948"}, {"ref": "amineteffal/script-at-springleaf", "kernel_id": "16640"}, {"ref": "t3cham/xgb-sprin", "kernel_id": "16539"}, {"ref": "anishosni/testscript", "kernel_id": "19625"}, {"ref": "karma86/xgb-spring", "kernel_id": "20857"}, {"ref": "karma86/sprnglf-xgb", "kernel_id": "18987"}, {"ref": "karma86/keras-v-2", "kernel_id": "16886"}, {"ref": "ertugrulural/notebook-2a062756fbae33501982", "kernel_id": "36543"}, {"ref": "alabhya/starterversion-overlook", "kernel_id": "15679"}, {"ref": "justinlu/springleaf-r", "kernel_id": "17755"}, {"ref": "jmanish/testload", "kernel_id": "21487"}, {"ref": "liaopan/have-a-try", "kernel_id": "14486"}, {"ref": "felipemacias/xgboost-example-0-76969", "kernel_id": "16717"}, {"ref": "mymusise/hehda", "kernel_id": "17209"}, {"ref": "asankaperera/xgboost-example-0-76969", "kernel_id": "14885"}, {"ref": "diogofranco/test1", "kernel_id": "17794"}, {"ref": "aviblinder/notebook-caf0802943e1e8f9e430", "kernel_id": "67047"}, {"ref": "antreasantoniou/having-a-look", "kernel_id": "14746"}, {"ref": "zhangjunw/https-www-kaggle-com-c-springleaf-mark", "kernel_id": "23993"}, {"ref": "wawltorconner/testt", "kernel_id": "16147"}, {"ref": "wawltorconner/test-data", "kernel_id": "16149"}, {"ref": "agloolga/xgboost-test-0-78220", "kernel_id": "20727"}, {"ref": "ekamioka/xgboost-run-local", "kernel_id": "19933"}, {"ref": "prakashanand/notebook-2d6a7bd1c1ed170970b1", "kernel_id": "81483"}, {"ref": "prakashanand/notebook-750affe79ce8e02ddcf5", "kernel_id": "81772"}, {"ref": "prakashanand/newscript", "kernel_id": "81765"}, {"ref": "prakashanand/notebook-79ec6d385b7ab4ea35ad", "kernel_id": "81767"}, {"ref": "nernst/notebook-4263a111f06e8303997b", "kernel_id": "21452"}, {"ref": "abhishek3/xgboost-test-0-78220-fork", "kernel_id": "16605"}, {"ref": "abhishek3/xgboost60", "kernel_id": "16558"}, {"ref": "dhanaschenniappan/notebook-bda7188c8207e494b0e6", "kernel_id": "32409"}, {"ref": "richarddeng88/prediction-10-13", "kernel_id": "19904"}, {"ref": "bravespacemonkey/springleaf-check", "kernel_id": "14352"}, {"ref": "clheang/notebook-b7095b49505c733dc13c", "kernel_id": "33078"}, {"ref": "randombishop/removing-irrelevant-vars", "kernel_id": "17213"}, {"ref": "randombishop/var-0254", "kernel_id": "18501"}, {"ref": "t36li1990/xgboost-example-0-76969", "kernel_id": "16564"}, {"ref": "ronbarr/first-commit", "kernel_id": "16034"}, {"ref": "jahandideh/xgboost-example-0-76185", "kernel_id": "16089"}, {"ref": "jahandideh/xgboost-example-0-76195", "kernel_id": "16123"}, {"ref": "albinocordeiro/variance-xgb-78020-7-74gb-14-6mins", "kernel_id": "19311"}, {"ref": "albinocordeiro/gettingstarted", "kernel_id": "18908"}, {"ref": "mhw1902/random-forest-example-0-73422", "kernel_id": "31638"}, {"ref": "reynaldriviere/notebook-c5f16a846105f5180ce3", "kernel_id": "20432"}, {"ref": "jeddeh/digging-into-springleaf-data", "kernel_id": "17863"}, {"ref": "oftatin/str-data", "kernel_id": "16291"}, {"ref": "esemi77/random-forest", "kernel_id": "15105"}, {"ref": "qqs888/hello", "kernel_id": "16859"}, {"ref": "waiyau/xgboost", "kernel_id": "17929"}, {"ref": "abednadir/script2", "kernel_id": "15127"}, {"ref": "abednadir/script212", "kernel_id": "15129"}, {"ref": "abednadir/xgb-3-cleaned-datesasdf", "kernel_id": "16578"}, {"ref": "abednadir/xgb-3-with-irrelevant-columns-removed-hi", "kernel_id": "16579"}, {"ref": "mousie/notebook-d2fba0ae1e87f59b1aab", "kernel_id": "21482"}, {"ref": "caiomsouza/firsttest", "kernel_id": "17078"}, {"ref": "yoyo1210/notebook-48da3cfa7d7f69b407d4", "kernel_id": "24016"}, {"ref": "niks2000/fix-up-city-names-var-0200", "kernel_id": "19399"}, {"ref": "vinotharun89/ground-hitting", "kernel_id": "18927"}, {"ref": "vinotharun89/trial2", "kernel_id": "19376"}, {"ref": "vinotharun89/trial3", "kernel_id": "19563"}, {"ref": "alexlzzz/keras-starter-code", "kernel_id": "18282"}, {"ref": "jiangh34/test1", "kernel_id": "25570"}, {"ref": "tofutiger/springleaf-check", "kernel_id": "14255"}, {"ref": "tofutiger/random-forest-example-0-73156", "kernel_id": "14251"}, {"ref": "rgwozdo/stochastic-gradient-descent-0-77355", "kernel_id": "15256"}, {"ref": "hechaohui/cerasdfg", "kernel_id": "15909"}, {"ref": "hechaohui/rf-ce-1", "kernel_id": "16637"}, {"ref": "zzzfff/testing", "kernel_id": "17789"}, {"ref": "saherneklawy/notebook-f1d162d29fd4087517f6", "kernel_id": "21004"}, {"ref": "saherneklawy/notebook-6157ea79af9fe4bf7153", "kernel_id": "39982"}, {"ref": "smehta/test1", "kernel_id": "17335"}, {"ref": "smehta/test2", "kernel_id": "17338"}, {"ref": "antonyadopo/debut", "kernel_id": "18810"}, {"ref": "ciroel/notebook-6cacff3e6ec2dedf50f0", "kernel_id": "20446"}, {"ref": "pchitta/about-vars-in-one-line", "kernel_id": "16908"}, {"ref": "pchitta/h20-deep-learning", "kernel_id": "17411"}, {"ref": "pchitta/h2o-gbm-imp-vars", "kernel_id": "17852"}, {"ref": "pchitta/group-vars", "kernel_id": "18108"}, {"ref": "pchitta/h2o-random-forest", "kernel_id": "18167"}, {"ref": "pchitta/caret-svm-one-class", "kernel_id": "16628"}, {"ref": "pchitta/test111", "kernel_id": "16135"}, {"ref": "pchitta/caret-varimportance", "kernel_id": "15999"}, {"ref": "pchitta/r-uniform-rf-try1", "kernel_id": "14133"}, {"ref": "gloryhunter/xxxxx", "kernel_id": "16422"}, {"ref": "gloryhunter/testforfun", "kernel_id": "16417"}, {"ref": "tholets/notebook-c3cfb948fb8c17398615", "kernel_id": "24562"}, {"ref": "jayakumar/xgboost-example-0-76969", "kernel_id": "16669"}, {"ref": "jayakumar/native-really", "kernel_id": "18622"}, {"ref": "jayakumar/variance-xgb-78346", "kernel_id": "20071"}, {"ref": "cherylhlkwan/notebook9333a529dc", "kernel_id": "86125"}, {"ref": "dingxian/xgboost-example-0-76178", "kernel_id": "18580"}, {"ref": "kartikgupta0909/myscript", "kernel_id": "18977"}, {"ref": "kartikgupta0909/mytest", "kernel_id": "19526"}, {"ref": "fernandojvdasilva/explore-springleaf-data", "kernel_id": "16932"}, {"ref": "ppr122/xgboost-example-0-76178", "kernel_id": "18173"}, {"ref": "acelikkaya/random-forest", "kernel_id": "14389"}, {"ref": "shoutrain/testing", "kernel_id": "17568"}, {"ref": "tmjiang/read-csv-to-pd-lighter-and-faster", "kernel_id": "19731"}, {"ref": "tmjiang/vanilla-xgboost", "kernel_id": "18994"}, {"ref": "tmjiang/detect-duplicated-columns", "kernel_id": "20548"}, {"ref": "inspiration/test1", "kernel_id": "16601"}, {"ref": "algonell/2015-08-19", "kernel_id": "14379"}, {"ref": "algonell/2015-08-20", "kernel_id": "14542"}, {"ref": "algonell/ftrl-starter-code", "kernel_id": "14544"}, {"ref": "algonell/ftrl-starter-code1", "kernel_id": "14700"}, {"ref": "sandeep1978/visualizing-na-values", "kernel_id": "19704"}, {"ref": "yottoboss/notebookdd33fb1238", "kernel_id": "264603"}, {"ref": "sirxudi/notebook-88c8fd3d7ebb5a892a87", "kernel_id": "40614"}, {"ref": "sirxudi/notebook-7eb788dba1d555b6d182", "kernel_id": "21579"}, {"ref": "sarveshn/notebook-067cbd9ef7f2113311a9", "kernel_id": "21131"}, {"ref": "raddar/removing-irrelevant-vars", "kernel_id": "16081"}, {"ref": "shijokgp/notebook-60cb08a14542bb5788d0", "kernel_id": "36503"}, {"ref": "fouroh4/python-test1", "kernel_id": "16166"}, {"ref": "kumarkundan/abctraining", "kernel_id": "15238"}, {"ref": "srinivas512/xgboost-example-0-76178", "kernel_id": "15246"}, {"ref": "qqgeogor/ftrl-classifier-campatible-with-sklearn", "kernel_id": "17298"}, {"ref": "ashutosh2606/dispersion-test", "kernel_id": "17156"}, {"ref": "acommodus/xgb3-latest-version", "kernel_id": "17865"}, {"ref": "acommodus/xgb-3-trail", "kernel_id": "16547"}, {"ref": "zhengtianyu/springleafprediction", "kernel_id": "18360"}, {"ref": "zhengtianyu/sltest", "kernel_id": "18729"}, {"ref": "jeromesonnet/myscript", "kernel_id": "18990"}, {"ref": "haopeng/grouping-numerics-springleaf", "kernel_id": "19468"}, {"ref": "aloytyno/testi", "kernel_id": "16262"}, {"ref": "shaperi/notebook-81283c0793dfc598e53b", "kernel_id": "23673"}, {"ref": "huangherbert/test1", "kernel_id": "16299"}, {"ref": "indusinsights/xgb-3-with-irrelevant-columns-removed", "kernel_id": "17994"}, {"ref": "codeloverguy/ftrl-starter-code", "kernel_id": "16359"}, {"ref": "burtloml/exploring-the-data", "kernel_id": "18065"}, {"ref": "zheyix/xgb-3-with-irrelevant-columns-removed", "kernel_id": "17792"}, {"ref": "melghazali/notebook803a28e493", "kernel_id": "106118"}, {"ref": "lifepreserver/notebook-64cd0ada16ea22c0d1c3", "kernel_id": "21011"}, {"ref": "absurd/fist-test", "kernel_id": "16629"}, {"ref": "mohsinkhan/first-run", "kernel_id": "19206"}, {"ref": "priyavanshi15048/my-script-test", "kernel_id": "17153"}, {"ref": "dujekmancin/spreangleaf", "kernel_id": "58006"}, {"ref": "forehead/xgboost-example-0-76178", "kernel_id": "17027"}, {"ref": "dmlrm33/sujin-test-0918", "kernel_id": "17573"}, {"ref": "dmlrm33/1009-best", "kernel_id": "20750"}, {"ref": "ustone/stochastic-gradient-descent-0-77355", "kernel_id": "18395"}, {"ref": "kr003003/notebook-976e8e97afcff443f76f", "kernel_id": "20811"}, {"ref": "mathmagician/utilizing-springleaf-data", "kernel_id": "18579"}, {"ref": "mathmagician/xgb-3-with-irrelevant-columns-removed", "kernel_id": "17951"}, {"ref": "mathmagician/springleaf-fusion", "kernel_id": "17908"}, {"ref": "ahoppity/testing", "kernel_id": "17476"}, {"ref": "lihao814386741/first-submissio", "kernel_id": "17888"}, {"ref": "vik235/test8397349", "kernel_id": "18256"}, {"ref": "shylockm/demo-12345", "kernel_id": "17626"}, {"ref": "immaddmx/hhgfhgf6", "kernel_id": "17870"}, {"ref": "sprusty/removing-irrelevant-vars", "kernel_id": "17977"}, {"ref": "aaronpennington/xgb-3-with-irrelevant-columns-removed", "kernel_id": "18837"}, {"ref": "dskvsr/test543", "kernel_id": "20268"}, {"ref": "zzppnn/notebook-73fbf092d80f8a3b82c4", "kernel_id": "22577"}, {"ref": "lynzhe26/grouping-numerics-springleaf", "kernel_id": "18305"}, {"ref": "jarbastadeu/fix-up-city-names-var-0200", "kernel_id": "18327"}, {"ref": "yourt6/enter", "kernel_id": "19554"}, {"ref": "ccxuxule/notebook-de2f3f517d4d09559099", "kernel_id": "23741"}, {"ref": "elarsen/script1", "kernel_id": "18435"}, {"ref": "goertzen/spinger", "kernel_id": "18996"}, {"ref": "maysriva/email-marketing", "kernel_id": "20240"}, {"ref": "dedfox/test1", "kernel_id": "19428"}, {"ref": "huangdong/test1", "kernel_id": "19473"}, {"ref": "manbilla/fix-up-city-names-var-0200", "kernel_id": "19707"}, {"ref": "lorifei/grouping-numerics-springleaf", "kernel_id": "19988"}, {"ref": "ddoerr/sl-xgboost-v20151014", "kernel_id": "20109"}, {"ref": "jacklxf/notebook-97c0aeb7efb324d6d31a", "kernel_id": "27909"}, {"ref": "valdev/notebook-ad2336902ca8fc243206", "kernel_id": "20742"}, {"ref": "ashleycline/glmnet-example", "kernel_id": "20835"}, {"ref": "rockermyname/fix-up-city-names-var-0200", "kernel_id": "21930"}, {"ref": "royiki/notebook-997a905c7b48987f14f6", "kernel_id": "22128"}, {"ref": "tendlya/fix-up-city-names-var-0200", "kernel_id": "31340"}, {"ref": "wdrchandralal/notebook-620b020244ee41dd8498", "kernel_id": "24079"}, {"ref": "fakhridean/testing", "kernel_id": "25303"}, {"ref": "fakhridean/testing-2", "kernel_id": "25322"}, {"ref": "fakhridean/xgboost-scaled", "kernel_id": "25385"}, {"ref": "fakhridean/xgboost-basic", "kernel_id": "25382"}, {"ref": "fakhridean/knn-example", "kernel_id": "26175"}, {"ref": "ecow1338/notebook-f3a7400cc654dfa828ac", "kernel_id": "49485"}, {"ref": "ecow1338/notebook-442a5fc00c1df122df18", "kernel_id": "49487"}, {"ref": "jacopobozzi/notebook-d2a8f2632292488c1bfb", "kernel_id": "29585"}, {"ref": "ryankno/notebook8f8879a921", "kernel_id": "107280"}, {"ref": "tmoulik/ftrl-starter-code", "kernel_id": "44056"}, {"ref": "msunil10052/notebook-f1b86ba817a1e44ea4a0", "kernel_id": "30373"}, {"ref": "sunghun/notebook-967b04f1481d77dbd4b4", "kernel_id": "79167"}, {"ref": "luokai/notebook20f8029085", "kernel_id": "90937"}, {"ref": "skabir/notebook-462ca65f13896a53440f", "kernel_id": "84894"}, {"ref": "jihyeseo/springleaf-eda-unzip", "kernel_id": "958168"}, {"ref": "nicholit/explorespring", "kernel_id": "51975"}, {"ref": "toffetjoseph/notebook0bc7ca0140", "kernel_id": "86017"}, {"ref": "edoarad/notebook420bd4c944", "kernel_id": "106200"}, {"ref": "huabei900/ftrl-starter-code", "kernel_id": "114292"}, {"ref": "landerbodyn/notebookd0c1bc0115", "kernel_id": "210923"}, {"ref": "michellejw/xgboost-example-0-76178", "kernel_id": "157195"}, {"ref": "daiearth22/digging-into-springleaf-data", "kernel_id": "363582"}, {"ref": "langemand/digging-into-springleaf-data", "kernel_id": "241987"}, {"ref": "songyuquan/xgboost-example-0-76178-136", "kernel_id": "333797"}, {"ref": "kcbighuge/springleaf-eda", "kernel_id": "2296976"}, {"ref": "armin1989/springleaf-competition-eda", "kernel_id": "2751807"}, {"ref": "bjladika/springleaf-stirennii-kod-by-bjladika", "kernel_id": "9755600"}, {"ref": "hugedin/springleaf-marketing-response", "kernel_id": "9686998"}, {"ref": "aaaaaa321/springleaf", "kernel_id": "9881714"}, {"ref": "sashabadmaev/springleafmarketingresponsebybadmaev", "kernel_id": "9773656"}, {"ref": "sashabadmaev/springleafbybadmaev", "kernel_id": "9793068"}, {"ref": "vasportv/springleaf-marketing-response-by-porotov", "kernel_id": "9407461"}, {"ref": "maksmixailov/springleaf-marketing-response", "kernel_id": "9773136"}, {"ref": "maksmixailov/3-springleaf-marketing", "kernel_id": "9838859"}, {"ref": "orkonungr/3-springleaf-marketing-response-erken", "kernel_id": "9728695"}, {"ref": "ochuk1/stohasti-grad-spusk", "kernel_id": "9427525"}, {"ref": "jennaseo/springleaf", "kernel_id": "10004835"}, {"ref": "blueberry90/notebooka5681cbc1a", "kernel_id": "12437096"}, {"ref": "foxeyjoker/springleaf-marketing-response", "kernel_id": "18574954"}, {"ref": "balaji89/springleaf-data-prepared-for-ml-models", "kernel_id": "30650723"}, {"ref": "czarpluto/eda-springleaf", "kernel_id": "41963726"}, {"ref": "czarpluto/python-lightgbm", "kernel_id": "42239991"}, {"ref": "clarkchong/python-lightgbm-tryout", "kernel_id": "82721316"}, {"ref": "radamolp/activity", "kernel_id": "107572665"}, {"ref": "fakhretdinovarthur/notebookf0621d36da", "kernel_id": "109963701"}, {"ref": "mushtakovvv/notebooka2228eca7f", "kernel_id": "111668806"}]}
{"competition_id": "4488", "kernels": [{"ref": "alexxanderlarko/rf-xgboost-keras-flatline-v-2-0-al", "kernel_id": "18868"}, {"ref": "alexxanderlarko/rf-etc-xgboost-example-xxxxx", "kernel_id": "10919"}, {"ref": "alexxanderlarko/rf-xgboost-keras-flatline-0-983754", "kernel_id": "13975"}, {"ref": "benhamner/exploring-the-cern-lhcb-data", "kernel_id": "14478"}, {"ref": "benhamner/scripts-demo-1", "kernel_id": "14723"}, {"ref": "benhamner/flatness-boosting-example", "kernel_id": "11773"}, {"ref": "benhamner/default-python-script-3", "kernel_id": "10731"}, {"ref": "benhamner/default-r-script-4", "kernel_id": "10732"}, {"ref": "benhamner/default-julia-script-3", "kernel_id": "10733"}, {"ref": "benhamner/rmarkdown-default-script", "kernel_id": "10735"}, {"ref": "benhamner/rf-xgboost-example", "kernel_id": "10724"}, {"ref": "benhamner/running-agreement-and-correlation-tests", "kernel_id": "10747"}, {"ref": "benhamner/demo-stub", "kernel_id": "16470"}, {"ref": "holzner/candidate-mass", "kernel_id": "19805"}, {"ref": "domcastro/bbbbb-1", "kernel_id": "19641"}, {"ref": "domcastro/rf-xgboost-example-0-982253", "kernel_id": "10806"}, {"ref": "domcastro/rf-xgboost-tune-1", "kernel_id": "11150"}, {"ref": "domcastro/how-long-do-you-take-flatness-boosting", "kernel_id": "11778"}, {"ref": "domcastro/xgboost-keras", "kernel_id": "11712"}, {"ref": "domcastro/rf-xgboost-keras", "kernel_id": "11386"}, {"ref": "domcastro/r-gbm", "kernel_id": "11460"}, {"ref": "domcastro/try-agreement-correlation-and-roc", "kernel_id": "11465"}, {"ref": "domcastro/rf-xgboost-tune-2", "kernel_id": "11266"}, {"ref": "domcastro/et-small-but-random", "kernel_id": "11271"}, {"ref": "domcastro/kera-try-1", "kernel_id": "11203"}, {"ref": "domcastro/rf-xgboost-keras-flatline-ada", "kernel_id": "12094"}, {"ref": "domcastro/rf-xgb-flatness-gbm", "kernel_id": "12141"}, {"ref": "domcastro/rf-xgboost-keras-flatline", "kernel_id": "11857"}, {"ref": "domcastro/correlation-matrix", "kernel_id": "12426"}, {"ref": "domcastro/rf-xgb", "kernel_id": "13361"}, {"ref": "domcastro/rf-xgboost-keras-flatline-0-983754", "kernel_id": "14088"}, {"ref": "domcastro/usuals", "kernel_id": "14090"}, {"ref": "domcastro/differentmix", "kernel_id": "14385"}, {"ref": "abhishek/yyy-yy", "kernel_id": "10776"}, {"ref": "abhishek/rf-xgboost-example-0-982253", "kernel_id": "10796"}, {"ref": "abhishek/rf-xgboost-keras-flatline", "kernel_id": "11881"}, {"ref": "mmucha/keras-starter-code-deep-pyramidal-mlp", "kernel_id": "11579"}, {"ref": "timevans/rf-xgboost-keras", "kernel_id": "11634"}, {"ref": "bascom/logit-glm-tau-lepton-flavour", "kernel_id": "19438"}, {"ref": "flashnik/imprf-xgboost-keras-flatline-v-2-0", "kernel_id": "19005"}, {"ref": "luciferase/avnnet-xgbtree-caret", "kernel_id": "18872"}, {"ref": "luciferase/ensemble-boost", "kernel_id": "19677"}, {"ref": "luciferase/xgbtree-caret-with-ks-cvm-wtroc", "kernel_id": "15185"}, {"ref": "luciferase/xgbtree-caret-with-ks-cvm-wtroc-test", "kernel_id": "16440"}, {"ref": "tomorrowdawn/neural-net-experiment", "kernel_id": "15841"}, {"ref": "frantap/notebook-2b0203b747b750313ed4", "kernel_id": "35414"}, {"ref": "binghsu/rf-xgboost-example-0-982253", "kernel_id": "10878"}, {"ref": "kumareshd/modified-xgboost-new", "kernel_id": "13115"}, {"ref": "kumareshd/rf-xgboost-keras-flatline-550", "kernel_id": "12427"}, {"ref": "kumareshd/modified-xgboost", "kernel_id": "12749"}, {"ref": "kumareshd/rf-xgboost-keras-flatline-55", "kernel_id": "12301"}, {"ref": "kumareshd/rf-xgboost-keras-flatline", "kernel_id": "11878"}, {"ref": "kumareshd/rf-xgboost-keras", "kernel_id": "11798"}, {"ref": "kumareshd/rf-xgboost-xgboost", "kernel_id": "11727"}, {"ref": "kumareshd/just-xgboost", "kernel_id": "11575"}, {"ref": "josefslavicek/simplified-version-of-my-solution", "kernel_id": "20227"}, {"ref": "mikeskim/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "18509"}, {"ref": "amtousch/a-suggested-training-submission-pipeline", "kernel_id": "16689"}, {"ref": "edguy99/test1", "kernel_id": "12836"}, {"ref": "edguy99/compare-a-couple-of-variables", "kernel_id": "13098"}, {"ref": "edguy99/have-a-look-at-the-tree", "kernel_id": "13076"}, {"ref": "mathseer/rf-xgboost-keras-flatline-0-983843", "kernel_id": "12403"}, {"ref": "rgsachin/helloworld", "kernel_id": "16989"}, {"ref": "mandalsubhajit/rf-xgboost-example-0-982253", "kernel_id": "11065"}, {"ref": "cvarrichio/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "17085"}, {"ref": "ijaganjac/validation-weighted-gbm-rf", "kernel_id": "14697"}, {"ref": "ijaganjac/physics-gbm", "kernel_id": "14882"}, {"ref": "cast42/gridsearchcv-with-feature-in-xgboost", "kernel_id": "18079"}, {"ref": "threedb/rf-xgboost-keras-flatline-v-2-0e", "kernel_id": "19014"}, {"ref": "threedb/rf-xgboost-keras-flatline-v-2-0k", "kernel_id": "19514"}, {"ref": "threedb/rf-xgboost-keras-flatline-v-2-0m", "kernel_id": "19441"}, {"ref": "threedb/rf-xgboost-flatline-v-2-0z", "kernel_id": "19437"}, {"ref": "threedb/rf-xgboost-keras-flatline-v-2-0a", "kernel_id": "18252"}, {"ref": "michelj/rf-xgboost-keras-flatline-v-2-0-1", "kernel_id": "19047"}, {"ref": "michelj/ensemble-boost", "kernel_id": "19698"}, {"ref": "michelj/rf-xgboost-keras-flatline-v-2-0-2", "kernel_id": "19416"}, {"ref": "michelj/rf-xgboost-keras-flatline-0-983754", "kernel_id": "13360"}, {"ref": "rockethouston/mapping-isobdt-to-track-chi2d", "kernel_id": "17577"}, {"ref": "rockethouston/rf-xgboost-example-0-982253", "kernel_id": "11217"}, {"ref": "phunter/gridsearchcv-with-feature-in-xgboost", "kernel_id": "18042"}, {"ref": "triskelion/quantize", "kernel_id": "12995"}, {"ref": "triskelion/rf-xgboost-example-0-982253", "kernel_id": "10787"}, {"ref": "triskelion/testing-python-3", "kernel_id": "15767"}, {"ref": "sravanb/rf-xgboost-example-0-982253", "kernel_id": "12586"}, {"ref": "paso84/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "19173"}, {"ref": "korbonits/rf-xgboost-keras-flatline-550", "kernel_id": "12432"}, {"ref": "korbonits/rf-xgboost-keras-flatline-0-983843", "kernel_id": "12458"}, {"ref": "korbonits/baseline", "kernel_id": "12453"}, {"ref": "jonmanly/rf-xgboost-example-0-982253", "kernel_id": "12941"}, {"ref": "fchollet/keras-starter-code-deep-pyramidal-mlp", "kernel_id": "10746"}, {"ref": "jettyy/xgboost-rf-ensemble-98-24", "kernel_id": "19714"}, {"ref": "rakhlin/abcde", "kernel_id": "20560"}, {"ref": "pushpendrasingh/ensemble-boost", "kernel_id": "19700"}, {"ref": "alexsj/tau-testing", "kernel_id": "16795"}, {"ref": "sushize/rf-xgboost-example", "kernel_id": "16020"}, {"ref": "sushize/ensemble-boost", "kernel_id": "19610"}, {"ref": "sushize/ensemble-boost-try", "kernel_id": "19712"}, {"ref": "sushize/ensemble-boost-try-ssz2", "kernel_id": "19744"}, {"ref": "sushize/gridsearchcv-xgb-new", "kernel_id": "19555"}, {"ref": "sushize/acr2-ssz", "kernel_id": "19436"}, {"ref": "sushize/gridsearchcv-xgb-ssz", "kernel_id": "19453"}, {"ref": "cleberamaral/script-2", "kernel_id": "15622"}, {"ref": "droussea/why-is-so-hard-to-learn-the-tau-mass", "kernel_id": "39728"}, {"ref": "giladamar/notebook-8f4bc2d31c257d1db667", "kernel_id": "23849"}, {"ref": "udibr1/quantize", "kernel_id": "12888"}, {"ref": "michaelpawlus/rf-xgboost-keras-flatline-0-983", "kernel_id": "14044"}, {"ref": "michaelpawlus/rf-xgboost-keras-flatline-v-2-1", "kernel_id": "16468"}, {"ref": "michaelpawlus/rf-xgboost-example-0-982253", "kernel_id": "16469"}, {"ref": "michaelpawlus/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "16389"}, {"ref": "michaelpawlus/rf-xgboost-keras-flatline-0-983754", "kernel_id": "16300"}, {"ref": "pinocchio/naivebayes", "kernel_id": "19592"}, {"ref": "pinocchio/gaussiannb", "kernel_id": "18386"}, {"ref": "pinocchio/adaboost", "kernel_id": "17762"}, {"ref": "ankitccuser/gradientboost-uboost-binflatnessloss", "kernel_id": "17079"}, {"ref": "ankitccuser/uboost-gradientboost", "kernel_id": "17021"}, {"ref": "ankitccuser/xgbtree-caret-with-ks-cvm-wtroc", "kernel_id": "17173"}, {"ref": "ankitccuser/xgb-gb", "kernel_id": "17183"}, {"ref": "ankitccuser/uboost-gb-xgb-ada", "kernel_id": "17866"}, {"ref": "cadrev/rf-xgboost-example-0-982253", "kernel_id": "17875"}, {"ref": "cadrev/rf-et-xgb", "kernel_id": "18164"}, {"ref": "urvesh/rf-xgboost-example-0-982253-try1", "kernel_id": "18290"}, {"ref": "sachinvernekar/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "17181"}, {"ref": "abhijitk/rf-xgboost-keras-flatline-laziness", "kernel_id": "16506"}, {"ref": "gramolin/histograms", "kernel_id": "17366"}, {"ref": "gramolin/simple-svm", "kernel_id": "16484"}, {"ref": "liwzhi/gridsearchcv-xgb-ssz", "kernel_id": "19471"}, {"ref": "ouranos/rf-xgboost-example-2", "kernel_id": "11588"}, {"ref": "ouranos/keras-starter-code-deep-pyramidal-mlp-2", "kernel_id": "11573"}, {"ref": "ouranos/simple-nb-gbm-script-in-r", "kernel_id": "13262"}, {"ref": "ouranos/keras-starter-code-deep-pyramidal-mlp", "kernel_id": "13925"}, {"ref": "ouranos/xgboost-1", "kernel_id": "16534"}, {"ref": "mfradkin/rf-xgboost-example-0-982253", "kernel_id": "19242"}, {"ref": "rishabg/notebook-9d84b3f89fad1159841d", "kernel_id": "20356"}, {"ref": "datasea/rf-xgboost-example-0-982253", "kernel_id": "10837"}, {"ref": "arnocandel/python-98-4", "kernel_id": "18982"}, {"ref": "scirpus/genetic-programming", "kernel_id": "20247"}, {"ref": "scirpus/signal-is-for-the-birds", "kernel_id": "19179"}, {"ref": "scirpus/mass-on-sunday", "kernel_id": "19593"}, {"ref": "apex51/rf-xgboost-keras-flatline-0-983754", "kernel_id": "13789"}, {"ref": "vicensgaitan/notebook-bc49983ba56064bead5b", "kernel_id": "20736"}, {"ref": "vicensgaitan/or-doping", "kernel_id": "20733"}, {"ref": "vicensgaitan/clipping-spreading", "kernel_id": "20725"}, {"ref": "vicensgaitan/why-is-so-hard-to-learn-the-tau-mass", "kernel_id": "20183"}, {"ref": "vicensgaitan/t-sne-embedding-of-tau-3-mu-events", "kernel_id": "12856"}, {"ref": "janekk/rf-xgboost-example-0-982253", "kernel_id": "10804"}, {"ref": "ryutek/rf-xgboost-keras", "kernel_id": "11774"}, {"ref": "mingjerli/python-98-4", "kernel_id": "19210"}, {"ref": "mestari/rf-xgboost-example-0-982253", "kernel_id": "14688"}, {"ref": "deepcnn/rf-xgboost-nn-ugb", "kernel_id": "12025"}, {"ref": "deepcnn/rf-xgboost-example-0-983xxx", "kernel_id": "10824"}, {"ref": "deepcnn/rf-xgboost", "kernel_id": "10855"}, {"ref": "deepcnn/keras-starter-code-deep-pyramidal-mlp", "kernel_id": "10902"}, {"ref": "justfor/gridsearchcv-with-feature-in-xgboost", "kernel_id": "18143"}, {"ref": "justfor/rf-xgb", "kernel_id": "17535"}, {"ref": "justfor/ensemble-boost-2", "kernel_id": "19640"}, {"ref": "iezepov/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "18334"}, {"ref": "interesting/rf-xgboost-keras-flatline-nati", "kernel_id": "15969"}, {"ref": "interesting/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "18755"}, {"ref": "threeplusme/gridsearchcv-with-feature-in-xgboost-hig", "kernel_id": "19559"}, {"ref": "threeplusme/ensemble-boost", "kernel_id": "19595"}, {"ref": "liuchengwang/ensemble-boost", "kernel_id": "19670"}, {"ref": "adamwong/rf-xgboost-example-0-982253", "kernel_id": "10805"}, {"ref": "duttaroy/modified-xgboost", "kernel_id": "12643"}, {"ref": "duttaroy/rf-xgboost-trial", "kernel_id": "11207"}, {"ref": "duttaroy/modified-script", "kernel_id": "11216"}, {"ref": "harshaneel/check-you-agreement-correlation-and-roc", "kernel_id": "11022"}, {"ref": "visoks/something-1", "kernel_id": "17053"}, {"ref": "littus/notebook-a2d63cff9da4c816225b", "kernel_id": "22497"}, {"ref": "opraveen/rf-xgboost-example-0-982253", "kernel_id": "19520"}, {"ref": "thodime/xg-boost-v1", "kernel_id": "11435"}, {"ref": "kheuton/rf-xgboost-keras-flatline-0-983843", "kernel_id": "12416"}, {"ref": "kheuton/rf-xgboost-keras-flatline", "kernel_id": "12177"}, {"ref": "jonathanslomka/rf-xgboost-keras-flatline-try", "kernel_id": "12656"}, {"ref": "jonathanslomka/testtttt", "kernel_id": "12644"}, {"ref": "karma86/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "16128"}, {"ref": "ianintas/yyy-yy", "kernel_id": "11269"}, {"ref": "ianintas/x-yyy-with-gbm", "kernel_id": "11961"}, {"ref": "zhonghuaxi/rf-xgboost-keras-flatline-0-983754", "kernel_id": "13612"}, {"ref": "daniet/test1", "kernel_id": "17782"}, {"ref": "behrang/check-you-agreement-correlation-and-roc", "kernel_id": "18510"}, {"ref": "thedoctor46/test-xgb", "kernel_id": "19724"}, {"ref": "thedoctor46/test-keras", "kernel_id": "19658"}, {"ref": "thedoctor46/test46", "kernel_id": "19656"}, {"ref": "zhiyue/mapping-isobdt-to-track-chi2d", "kernel_id": "115120"}, {"ref": "zelectricity/rf-xgboost-keras-flatline-0-983754", "kernel_id": "15934"}, {"ref": "zelectricity/rf-xgboost-keras-flatline", "kernel_id": "15849"}, {"ref": "zelectricity/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "16330"}, {"ref": "strawberrypie/test-keras", "kernel_id": "40133"}, {"ref": "strawberrypie/notebook-c848455d9926a98da64f", "kernel_id": "49549"}, {"ref": "abhicloudstalk/abhish4", "kernel_id": "73339"}, {"ref": "abhicloudstalk/notebook-c301e756a9e34bb43548", "kernel_id": "73344"}, {"ref": "abhicloudstalk/notebook-c43213452faf461f1c94", "kernel_id": "73345"}, {"ref": "sionek/test000-1", "kernel_id": "18002"}, {"ref": "sionek/rf-xgboost-example-0-982253", "kernel_id": "10740"}, {"ref": "sionek/rf-xgboost-keras-few-variables", "kernel_id": "11834"}, {"ref": "sionek/flatness-boosting-example-1", "kernel_id": "19152"}, {"ref": "sionek/simplified-version-of-3rd-place-solution", "kernel_id": "20530"}, {"ref": "sionek/ugbc-gs2", "kernel_id": "20438"}, {"ref": "sionek/ugbc-gs-simplified-mod1", "kernel_id": "22135"}, {"ref": "mindlessjoker/script-testing", "kernel_id": "11618"}, {"ref": "luyaoly/rf-xgboost-keras-flatline-0-983754", "kernel_id": "18803"}, {"ref": "alexlzzz/rf-xgboost-example-0-982253", "kernel_id": "16776"}, {"ref": "oussamaahmia/0123456", "kernel_id": "11044"}, {"ref": "oussamaahmia/xgbtest", "kernel_id": "11136"}, {"ref": "rickyhennessy/ugbfl", "kernel_id": "11723"}, {"ref": "rickyhennessy/rf-xgboost-keras-flatline-0-983843", "kernel_id": "11890"}, {"ref": "sylvialee/gradiantboosting", "kernel_id": "17295"}, {"ref": "tylern4/notebook-a8d0ec1682dc940b7df7", "kernel_id": "54989"}, {"ref": "tylern4/notebook-7708945e688a489ef7dc", "kernel_id": "54923"}, {"ref": "vikrant24/rf-xgboost-keras-flatline-v-7-0", "kernel_id": "19134"}, {"ref": "yashpatel5400/particle-feature-importance", "kernel_id": "15569"}, {"ref": "yashpatel5400/gradient-boosting-particle", "kernel_id": "15562"}, {"ref": "twitter/rf-xgboost-example-0-982253", "kernel_id": "18247"}, {"ref": "gomiero/random-forest-in-julia", "kernel_id": "18319"}, {"ref": "stepobr/rf-xgboost-example-0-982253", "kernel_id": "18644"}, {"ref": "stepobr/agreement-correlation-and-roc", "kernel_id": "19417"}, {"ref": "dominicmills/rf-xgboost-keras-flatline-v-2-0", "kernel_id": "19761"}, {"ref": "tunguz/agreement-correlation-and-roc", "kernel_id": "19425"}, {"ref": "tunguz/ensemble-boost-3", "kernel_id": "19663"}, {"ref": "abhishekranjan/notebook-8e80c769f34ffa200f27", "kernel_id": "40551"}, {"ref": "lsmwell/rf-xgboost-keras-flatline-0-983754", "kernel_id": "17321"}, {"ref": "ajayrames/ensemble-boost", "kernel_id": "20015"}, {"ref": "indian/keras-starter-code-deep-pyramidal-mlp", "kernel_id": "82073"}, {"ref": "ptenhave/notebook-2c941b4e34f66b5e0928", "kernel_id": "26089"}, {"ref": "ldontlt/notebook-b9005a840ba218d18c4c", "kernel_id": "40294"}, {"ref": "jihyeseo/eda-tau-muon-unzip", "kernel_id": "958152"}, {"ref": "ronnnwu/notebook1b6d79438d", "kernel_id": "95347"}, {"ref": "ronnnwu/notebookd67250d207", "kernel_id": "96463"}, {"ref": "ronnnwu/notebookb988bd0ca5", "kernel_id": "96424"}, {"ref": "pankajmishra/python-script", "kernel_id": "137791"}, {"ref": "notsalesha/why-is-so-hard-to-learn-the-tau-mass", "kernel_id": "128653"}, {"ref": "maxkarpov/notebook738c054885", "kernel_id": "156510"}, {"ref": "nachogarcia88/xgboost-gridsearchcv", "kernel_id": "1662531"}, {"ref": "purpleplanet/kernel75db018963", "kernel_id": "9574957"}, {"ref": "omkardray/flavour-of-physics", "kernel_id": "11132739"}, {"ref": "matteomonzali/rfc-model", "kernel_id": "12527138"}, {"ref": "matteomonzali/xgboost-model", "kernel_id": "12514790"}, {"ref": "matteomonzali/nn-model", "kernel_id": "12472965"}, {"ref": "matteomonzali/t-3u-decay-submitted", "kernel_id": "12421175"}]}
{"competition_id": "4493", "kernels": []}
{"competition_id": "4495", "kernels": [{"ref": "antgoldbloom/exploring-the-data-set", "kernel_id": "24800"}, {"ref": "antgoldbloom/notebook-ae4a6256bc8059d219b8", "kernel_id": "24803"}, {"ref": "antgoldbloom/notebook-90d477b72d7242ee8a51", "kernel_id": "24804"}, {"ref": "antgoldbloom/notebook-49bb77d865059f7754ba", "kernel_id": "24805"}, {"ref": "antgoldbloom/exploring-the-how-much-does-it-rain-data", "kernel_id": "24806"}, {"ref": "alexxanderlarko/gbm-inches-only-3-al", "kernel_id": "20973"}, {"ref": "alexxanderlarko/xgboost-1", "kernel_id": "21208"}, {"ref": "alexxanderlarko/xgb2110", "kernel_id": "21431"}, {"ref": "alexxanderlarko/gbm-inches-only-al", "kernel_id": "20433"}, {"ref": "alexxanderlarko/gbm-inches-only-al1", "kernel_id": "20517"}, {"ref": "alexxanderlarko/mp-2111-r", "kernel_id": "25150"}, {"ref": "alexxanderlarko/mp-2111ver2-r", "kernel_id": "25151"}, {"ref": "benhamner/data-files-available", "kernel_id": "17499"}, {"ref": "domcastro/xgb211112cc", "kernel_id": "22218"}, {"ref": "gaborfodor/mae-inequality", "kernel_id": "22164"}, {"ref": "lithuak/notebook-5c6238433a9f772dd85e", "kernel_id": "22734"}, {"ref": "wendykan/marshall-palmer-benchmark", "kernel_id": "17500"}, {"ref": "thakurrajanand/h2o-starter-random-forest", "kernel_id": "18382"}, {"ref": "mlandry/median-benchmark", "kernel_id": "17802"}, {"ref": "mlandry/h2o-starter-1", "kernel_id": "18224"}, {"ref": "damianmingle/notebook-8e4218d2c69f7eac685d", "kernel_id": "21629"}, {"ref": "damianmingle/notebook-09d7d48a6407bf0ba2d2", "kernel_id": "21630"}, {"ref": "damianmingle/notebook-0ecce53dd9f75fab09cc", "kernel_id": "23377"}, {"ref": "titericz/h2orf-1", "kernel_id": "23386"}, {"ref": "saurabh2086/how-much-it-rained", "kernel_id": "22106"}, {"ref": "davidbuchaca/notebook-1e4fc1997b3d9ae408c1", "kernel_id": "20445"}, {"ref": "binwah/notebook-746360824875a2cd79bf", "kernel_id": "21548"}, {"ref": "fedyuninv/notebook-3a44371139289838c20b", "kernel_id": "23003"}, {"ref": "nionuo/notebook-48faada6831b4b939fae", "kernel_id": "24066"}, {"ref": "nionuo/notebook-0f72bf807be4a92f3d1b", "kernel_id": "24067"}, {"ref": "linchunai/notebook12c7a546b3", "kernel_id": "111961"}, {"ref": "mathseer/gbm-inches-only", "kernel_id": "20028"}, {"ref": "sudalairajkumar/rainfall-test", "kernel_id": "17572"}, {"ref": "chandrad/forked-from-geeks-1", "kernel_id": "19719"}, {"ref": "chandrad/h2o-starter-random-forest-tuning", "kernel_id": "18884"}, {"ref": "ranandiitk/rain-test", "kernel_id": "17565"}, {"ref": "klangner/notebook-345c75041aa9f5835e7e", "kernel_id": "22961"}, {"ref": "klangner/notebook-109db1b890c84bcb405a", "kernel_id": "22962"}, {"ref": "saurabhjaju/notebook-3e16ad1fa5033da291bb", "kernel_id": "21222"}, {"ref": "pasenor/number-of-readings-per-hour", "kernel_id": "18035"}, {"ref": "maneeshkm/xgb211112", "kernel_id": "22119"}, {"ref": "davidshinn/missing-measurements", "kernel_id": "17666"}, {"ref": "usixuz/gbm-inches-only", "kernel_id": "21044"}, {"ref": "zeroblue/benchmark", "kernel_id": "21946"}, {"ref": "dimitrislev/test1-1-1", "kernel_id": "22822"}, {"ref": "dimitrislev/gbm-inches-only-3", "kernel_id": "20558"}, {"ref": "cuttlefish/first-attempt", "kernel_id": "63897"}, {"ref": "cuttlefish/first-script", "kernel_id": "63900"}, {"ref": "ankurv857/rain-ra", "kernel_id": "26230"}, {"ref": "ankurv857/rain-rain", "kernel_id": "19449"}, {"ref": "ankurv857/rainplease", "kernel_id": "19451"}, {"ref": "scorpion/notebook-290c78cccf881a7c8483", "kernel_id": "21631"}, {"ref": "scorpion/notebook-2857847b35e3b2b3a955", "kernel_id": "21646"}, {"ref": "mangoengineer/notebook-b3aa922ab7295a13515e", "kernel_id": "20422"}, {"ref": "mihevc/notebook-1e7d897d861829eb1dce", "kernel_id": "22831"}, {"ref": "mihevc/notebook-fec68e1a7de459a92b3a", "kernel_id": "22832"}, {"ref": "xwangstat/h2o-starter-random-forest", "kernel_id": "21941"}, {"ref": "xwangstat/xgb2110", "kernel_id": "22504"}, {"ref": "xwangstat/44444", "kernel_id": "22418"}, {"ref": "devinanzelmo/notebook-be032c4b389c406c34d2", "kernel_id": "21984"}, {"ref": "ahaque/notebook0437e546b9", "kernel_id": "116447"}, {"ref": "yifanxie/notebook-43729a1cddca88887ee3", "kernel_id": "24892"}, {"ref": "yifanxie/notebook-d3558820db9813442bab", "kernel_id": "26521"}, {"ref": "pritipatra/test1", "kernel_id": "22969"}, {"ref": "rodriguesra/exploring-the-how-much-does-it-rain-data", "kernel_id": "31370"}, {"ref": "denistsitko/xgb2110", "kernel_id": "21465"}, {"ref": "denistsitko/script-21-10-15", "kernel_id": "21265"}, {"ref": "denistsitko/gbm-inches-only", "kernel_id": "20448"}, {"ref": "mahendra1/notebook-a3ff2dddfee55f11d031", "kernel_id": "23936"}, {"ref": "quantumdamage/notebook-11ed2330fac44c759138", "kernel_id": "21005"}, {"ref": "quantumdamage/gvhkjfgjhk", "kernel_id": "21006"}, {"ref": "qiujiqiong/h2o-starter-random-forest-ntrees-200", "kernel_id": "22917"}, {"ref": "aramohan/hmdir-1011", "kernel_id": "19649"}, {"ref": "alvations/notebook-3ea60b72dbd7ecd0b53f", "kernel_id": "24572"}, {"ref": "blakepan/trytrysee-1", "kernel_id": "21713"}, {"ref": "cleberamaral/script-21-10-15", "kernel_id": "21241"}, {"ref": "junjiecai/notebook-9b05b6437cfa7002b67d", "kernel_id": "25236"}, {"ref": "namesj/notebook-bafd1973c134687bc8e5", "kernel_id": "23078"}, {"ref": "namesj/notebook-ea1cb37c583189df38ae", "kernel_id": "23079"}, {"ref": "jeffhebert/exploring-na-values-in-rain2", "kernel_id": "17785"}, {"ref": "eugeneyan/h20-test", "kernel_id": "23502"}, {"ref": "jomisilfe/raindrop", "kernel_id": "20082"}, {"ref": "tetsurotayama/notebook-c552542ae591132ec07a", "kernel_id": "27972"}, {"ref": "nhuang/notebook-c4c05e6cb2c6fec64d2a", "kernel_id": "26704"}, {"ref": "tmfukui/faster-marshall-palmer-in-r", "kernel_id": "19316"}, {"ref": "soutik/notebook-0d0ec17d8d980490d697", "kernel_id": "21706"}, {"ref": "soutik/dudette", "kernel_id": "21707"}, {"ref": "potterzot/features", "kernel_id": "18669"}, {"ref": "aminkh/features-gmm-xgboost", "kernel_id": "28072"}, {"ref": "arnocandel/h2orf-cleaned-cut-69-pur-vars-3-n-3", "kernel_id": "25622"}, {"ref": "shashank259/notebook-8b30ee3bc2a63effbfa7", "kernel_id": "27719"}, {"ref": "danovadia/gbm-inches-only", "kernel_id": "20614"}, {"ref": "panosc/notebook-7c5d4ca552dec86cadd7", "kernel_id": "23346"}, {"ref": "venkatesh01/notebook-efbeaaf5b083c1d58e4f", "kernel_id": "27508"}, {"ref": "inventology/xgb2110", "kernel_id": "21923"}, {"ref": "inventology/h2orf-cleaned-cut-69-pur-vars-3-n-3", "kernel_id": "26921"}, {"ref": "carloshuertas/h2ofirsttry", "kernel_id": "25615"}, {"ref": "ruifengzheng/notebook-e39a06f187bf1593c7a2", "kernel_id": "32428"}, {"ref": "uiryeong/123123", "kernel_id": "25249"}, {"ref": "interesting/h2orf-cleaned-cut-65-var", "kernel_id": "23116"}, {"ref": "interesting/h2o-starter-gbm-lr-01-depth-9", "kernel_id": "19124"}, {"ref": "amhchiu/pattern-in-distribution-of-outcomes", "kernel_id": "20660"}, {"ref": "amhchiu/radar-readings-for-id-2", "kernel_id": "20662"}, {"ref": "amhchiu/heteroskedastic-reflectivity-v-distance", "kernel_id": "20767"}, {"ref": "joswin/notebook-94fa6766b56de3a9b3b8", "kernel_id": "22124"}, {"ref": "leemiracle/notebook-b5215bb6fee1d53601ee", "kernel_id": "26798"}, {"ref": "leemiracle/notebook-88dc2cfa533073ae268f", "kernel_id": "26794"}, {"ref": "tsereda/marshall-palmer-benchmark", "kernel_id": "17560"}, {"ref": "galinamalovichko/h2orf-cleaned-cut-69-pur-vars-3-n-3", "kernel_id": "26790"}, {"ref": "lilisun/sample-dask", "kernel_id": "17725"}, {"ref": "saurabh1331/benchmark-saurabh", "kernel_id": "20533"}, {"ref": "saurabh1331/testing-h20-benchmark", "kernel_id": "20544"}, {"ref": "saurabh1331/notebook-482b997684ce7177e535", "kernel_id": "26846"}, {"ref": "saurabh1331/notebook-ffba6d417f51efae900c", "kernel_id": "26844"}, {"ref": "saurabh1331/gbm-parameter-tetsing", "kernel_id": "26916"}, {"ref": "saurabh1331/notebook-894993131df637a021b2", "kernel_id": "27093"}, {"ref": "saurabh1331/notebook-5b70f87b1e9a2621da5c", "kernel_id": "27095"}, {"ref": "saurabh1331/notebook-55294e85807a57938036", "kernel_id": "27097"}, {"ref": "saurabh1331/notebook-5b799460bb2afbcdd463", "kernel_id": "27098"}, {"ref": "saurabh1331/deep-lr-random-parameter-search", "kernel_id": "27079"}, {"ref": "saurabh1331/notebook-2fb7b0bcbb8412d2b15a", "kernel_id": "27090"}, {"ref": "saurabh1331/deep-learning-with-more-parameter", "kernel_id": "27793"}, {"ref": "anatolii/notebook-7ff86ddb7fd25a8998f3", "kernel_id": "20479"}, {"ref": "adny75/notebook-b9ec5446c0e61d37aa77", "kernel_id": "23089"}, {"ref": "adny75/caca55", "kernel_id": "23090"}, {"ref": "tgeral68/notebook-fe1d0360e42a2318cd8d", "kernel_id": "26917"}, {"ref": "tgeral68/notebook-cf2d30fdd3a120ba4568", "kernel_id": "26902"}, {"ref": "khaledfayed/gbm-in2", "kernel_id": "20915"}, {"ref": "khaledfayed/gbm-inches-only", "kernel_id": "20223"}, {"ref": "cydal1/xgb211112", "kernel_id": "21888"}, {"ref": "davidl6/faster-marshall-palmer-in-r", "kernel_id": "24018"}, {"ref": "davidl6/sample-experiment", "kernel_id": "23750"}, {"ref": "davidl6/xgb2110-p-vars-nr2-18-c-50", "kernel_id": "24677"}, {"ref": "davidl6/rain-rate-estimation-from-kdp", "kernel_id": "25401"}, {"ref": "davidl6/gbm-inches-only-pure-13-area-vars2-50", "kernel_id": "26743"}, {"ref": "davidl6/xgb2110-p-mpvars2-nr5-10-c-70", "kernel_id": "26922"}, {"ref": "davidl6/h2odl-cleaned-cut-69-pur-vars-3-n-3", "kernel_id": "25708"}, {"ref": "davidl6/rain-rate-est-from-kdp-and-zdr-cut-neg", "kernel_id": "26209"}, {"ref": "davidl6/gbm-inches-only-pure", "kernel_id": "19716"}, {"ref": "davidl6/h2o-rft-ntrees-200-maxd-20-cut-70-pur", "kernel_id": "19187"}, {"ref": "davidl6/h2o-starter-random-forest-ntrees-200", "kernel_id": "18482"}, {"ref": "davidl6/h2o-starter-gbm", "kernel_id": "18725"}, {"ref": "davidl6/h2o-rf-in-ntree-200-cut-70-pur-vars", "kernel_id": "20293"}, {"ref": "davidl6/h2o-rf-in-ntree-200-cut-70-pur-vars-2", "kernel_id": "20815"}, {"ref": "davidl6/xgb2110-p-vars-nr2-18-f", "kernel_id": "22981"}, {"ref": "davidl6/h2orf-cleaned-cut-70-pur-vars-3-n", "kernel_id": "22900"}, {"ref": "davidl6/xgb2110-p-vars-nr2-18-f-abs", "kernel_id": "23225"}, {"ref": "davidl6/my-modif", "kernel_id": "23356"}, {"ref": "davidl6/xgb2110-p-vars-nr2", "kernel_id": "22572"}, {"ref": "davidl6/h2o-rf-in-ntree-200-cut-70-pur-vars-n", "kernel_id": "22313"}, {"ref": "davidl6/xgb2110-p-vars-n", "kernel_id": "22321"}, {"ref": "davidl6/gbm-inches-only-pure-13-nr", "kernel_id": "22142"}, {"ref": "davidl6/xgb2110-p", "kernel_id": "21526"}, {"ref": "intelligence/notebook-bb36face510225efdee7", "kernel_id": "27610"}, {"ref": "derkanat/h2orf-d-cut-69-pur-vars-3-n-3", "kernel_id": "27887"}, {"ref": "derkanat/h2orf-cut-69-pur-vars-3-n-3", "kernel_id": "26662"}, {"ref": "ys19931006/marshall-palmer-benchmark", "kernel_id": "17926"}, {"ref": "ys19931006/ohohoh", "kernel_id": "17912"}, {"ref": "neutronabsorber/notebook-197cc4aad91e2f56795e", "kernel_id": "22181"}, {"ref": "neutronabsorber/notebook-f6df9fdabf0728f119c4", "kernel_id": "22183"}, {"ref": "neutronabsorber/notebook-7935f2e8989cd2679f3e", "kernel_id": "22184"}, {"ref": "neutronabsorber/notebook-afa431a27149982df167", "kernel_id": "22185"}, {"ref": "pistnick/notebook-c99c34a692c8b132e2da", "kernel_id": "24427"}, {"ref": "sanary/median-benchmark-127-55145", "kernel_id": "17933"}, {"ref": "nicolasj/seses", "kernel_id": "37152"}, {"ref": "luyaoly/xgb211112cc", "kernel_id": "22233"}, {"ref": "charitycase/rain-test", "kernel_id": "24301"}, {"ref": "charitycase/notebook-eba892921eb16ef4da63", "kernel_id": "24304"}, {"ref": "charitycase/test2", "kernel_id": "24313"}, {"ref": "charitycase/notebook-794d02af163b51e6f26c", "kernel_id": "25525"}, {"ref": "charitycase/lalala", "kernel_id": "24671"}, {"ref": "charitycase/notebook-3c00a2c44dacd9efce4b", "kernel_id": "24759"}, {"ref": "alikakhriev/notebook-7321eae9f2c0846f9822", "kernel_id": "22897"}, {"ref": "alexlzzz/gbm-inches-only", "kernel_id": "20467"}, {"ref": "captcalculator/marshall-palmer-in-r", "kernel_id": "18828"}, {"ref": "bettyzhang/notebook-97a28d520b8a671e37dc", "kernel_id": "23109"}, {"ref": "tayidat/position-of-radars", "kernel_id": "20322"}, {"ref": "rasheedhameed/collapsing-list", "kernel_id": "19993"}, {"ref": "rasheedhameed/private", "kernel_id": "19723"}, {"ref": "reicja/notebook-7e9088af35c598c8905d", "kernel_id": "25934"}, {"ref": "kenkobayashi/notebook-0a9ce2edf16f62c68f23", "kernel_id": "22933"}, {"ref": "kenkobayashi/hogehoge", "kernel_id": "22938"}, {"ref": "rusticodanan/notebook-8a99916568f55a7dab8b", "kernel_id": "27445"}, {"ref": "gau2112/pattern-in-distribution-of-outcomes", "kernel_id": "21248"}, {"ref": "jakapun/notebook-b8340753d9dda0355dea", "kernel_id": "27704"}, {"ref": "clowntoe/notebook-a4ec6c38407a5abd4c7a", "kernel_id": "27187"}, {"ref": "clowntoe/collapse-and-save", "kernel_id": "27189"}, {"ref": "clowntoe/notebook-6bc24b5e8429ec9a12aa", "kernel_id": "27190"}, {"ref": "venkyvish/notebook-b91fcb9fa3987d45a63c", "kernel_id": "31165"}, {"ref": "venkyvish/notebook-cec3cb638d68a0a59463", "kernel_id": "28622"}, {"ref": "tunguz/h2orf-cleaned-cut-69-pur-vars-3-n-2", "kernel_id": "23087"}, {"ref": "tunguz/gbm-inches-only-3", "kernel_id": "20920"}, {"ref": "tunguz/h2o-starter-gbm-lr-015-cut-70", "kernel_id": "19193"}, {"ref": "tunguz/gbm-inches-only", "kernel_id": "19455"}, {"ref": "tunguz/notebook-5070e61474ca8004a0b7", "kernel_id": "27520"}, {"ref": "millerintllc/h2omp", "kernel_id": "25107"}, {"ref": "millerintllc/marshall-palmer-in-r", "kernel_id": "22778"}, {"ref": "millerintllc/notebook-a5e38bbd7922dd9c999e", "kernel_id": "23530"}, {"ref": "niujie/jie-niu", "kernel_id": "17751"}, {"ref": "qsuire/explore-data", "kernel_id": "20687"}, {"ref": "qsuire/notebook-4579f1c39a0aea4f98e5", "kernel_id": "20689"}, {"ref": "newyorkengineer/notebook-0e7ce86cd3880b0a26d7", "kernel_id": "23460"}, {"ref": "pararols/notebook-b52b0abe2b4dd0a46901", "kernel_id": "22230"}, {"ref": "pararols/test1", "kernel_id": "22495"}, {"ref": "pararols/h2orf-cleaned-cut-70-pur-vars-2-n", "kernel_id": "23662"}, {"ref": "pararols/xgb-analisys", "kernel_id": "23801"}, {"ref": "huili0140/random-forests-with-h2o", "kernel_id": "23159"}, {"ref": "huili0140/xgboost-with-h2o", "kernel_id": "23160"}, {"ref": "huili0140/random-forest-1", "kernel_id": "22499"}, {"ref": "huili0140/gradient-boost-with-h2o", "kernel_id": "22595"}, {"ref": "teslam/notebook-88d83301778fbc83396a", "kernel_id": "25583"}, {"ref": "teslam/notebook-be222b6756200a2c7bf1", "kernel_id": "25579"}, {"ref": "teslam/notebook-644dbbc5cedc5f2ba608", "kernel_id": "25580"}, {"ref": "harekhopt/notebook-3aa3d37b1d177347fa20", "kernel_id": "22911"}, {"ref": "harekhopt/notebook-a6aff044189d476eda3a", "kernel_id": "22912"}, {"ref": "pouria/test1", "kernel_id": "22649"}, {"ref": "devavret/notebook-b83fecbab6bfbb9daaa2", "kernel_id": "23907"}, {"ref": "rogerkuo007/notebook42926aded4", "kernel_id": "154847"}, {"ref": "linkinparkcs/exploring-the-how-much-does-it-rain-data", "kernel_id": "150554"}, {"ref": "setope/notebook-a8c8e75ac09ba877cb4f", "kernel_id": "27435"}, {"ref": "setope/first", "kernel_id": "27440"}, {"ref": "junfeng/test-data", "kernel_id": "21720"}, {"ref": "junfeng/notebook-261397f3e865c1b1b269", "kernel_id": "21721"}, {"ref": "yuanmeng/h2o-starter-random-forest", "kernel_id": "22199"}, {"ref": "hornet330/test1", "kernel_id": "22621"}, {"ref": "tmd2015/notebook-361229c547038374097a", "kernel_id": "21378"}, {"ref": "yunanzho/notebook-5784d26023ddc8099bab", "kernel_id": "22080"}, {"ref": "yunanzho/notebook-45352d2a0659d30caa01", "kernel_id": "22081"}, {"ref": "gregyves/test1", "kernel_id": "23885"}, {"ref": "cristiananastasiu/notebook-665b9fe3b984f83afe98", "kernel_id": "21870"}, {"ref": "facadev/demo-1", "kernel_id": "21949"}, {"ref": "facadev/r-test-1", "kernel_id": "21950"}, {"ref": "nidhi2709/h2orf-cleaned-cut-69-pur-vars-3-n-3", "kernel_id": "26271"}, {"ref": "masterku/notebook-5b4aabe102fcde9d6b23", "kernel_id": "27574"}, {"ref": "nlahaye/notebook-cbacc6afc40cb151b89e", "kernel_id": "22487"}, {"ref": "nlahaye/notebook-849f94336da9e92d9d5d", "kernel_id": "22488"}, {"ref": "ncanac/notebook-c5396e0cb86eaf516e2f", "kernel_id": "24826"}, {"ref": "brandonmbooth/h2orf-cleaned-cut-69-pur-vars-3-n-3", "kernel_id": "27808"}, {"ref": "hunterzhao/notebook-eb1487bd4ca47aa906cc", "kernel_id": "23335"}, {"ref": "durgeshsatyam/notebook-80eb8175669da69d1439", "kernel_id": "23646"}, {"ref": "durgeshsatyam/notebook-25f72c3ebc322d682cd8", "kernel_id": "23647"}, {"ref": "durgeshsatyam/notebook-927d4db55f434881f010", "kernel_id": "23648"}, {"ref": "durgeshsatyam/notebook-899255d9d412097a0a86", "kernel_id": "23572"}, {"ref": "durgeshsatyam/notebook-edd9df42f1b287212d79", "kernel_id": "23574"}, {"ref": "durgeshsatyam/notebook-afc4c22db6ce765c5776", "kernel_id": "23575"}, {"ref": "jdkrabbe/notebook-1d25b0128e9e9ed6d5d3", "kernel_id": "23393"}, {"ref": "bigadaddysbigdata/h2omp", "kernel_id": "25206"}, {"ref": "bigadaddysbigdata/h2ompb", "kernel_id": "25209"}, {"ref": "bigadaddysbigdata/rainforest", "kernel_id": "24874"}, {"ref": "bigadaddysbigdata/farmer-s-almanac", "kernel_id": "24080"}, {"ref": "jdmdatascience/idk-some-script-name", "kernel_id": "24085"}, {"ref": "kaelthas/marshall-palmer-in-r", "kernel_id": "26815"}, {"ref": "stefanopini/notebook-23481e87003175b83516", "kernel_id": "26241"}, {"ref": "saurabhkaushik/notebook-d6fea2ce20a703d8bf71", "kernel_id": "25185"}, {"ref": "qingyu/h2orf-cleaned-cut-69-pur-vars-3-n-3", "kernel_id": "26481"}, {"ref": "ycheng312/notebook-1a159e00ef2995650163", "kernel_id": "26982"}, {"ref": "skygun/gbm-h20", "kernel_id": "26940"}, {"ref": "draschemus/notebook-0185e7446f180acbba75", "kernel_id": "27363"}, {"ref": "hydrologic/notebook-07830ab677eac6397de9", "kernel_id": "29960"}, {"ref": "shui1992/notebook-3fe5692ecd97b66dd52e", "kernel_id": "31965"}, {"ref": "shui1992/notebook-f2d7c3a79968933c0d26", "kernel_id": "32331"}, {"ref": "jadsilva/notebook-37c249dc268c0af3db96", "kernel_id": "35553"}, {"ref": "jadsilva/teste", "kernel_id": "35545"}, {"ref": "jadsilva/notebook-e3d662531c25d1c43d1f", "kernel_id": "35546"}, {"ref": "deepakgarg22396/second-try", "kernel_id": "233817"}, {"ref": "jihyeseo/rain-eda-22-continus-x-continus-y-regression", "kernel_id": "957106"}, {"ref": "mahi1992/notebook-3baabfddf9f31e5e1666", "kernel_id": "75407"}, {"ref": "pankajmishra/notebook47ce32188d", "kernel_id": "175397"}, {"ref": "jimliu/notebookcc372f2090", "kernel_id": "206395"}, {"ref": "marcsun/exploring-the-how-much-does-it-rain-data", "kernel_id": "117328"}, {"ref": "abcdefghgjkl/notebook6fc8f8aa56", "kernel_id": "139149"}, {"ref": "heyanggong/just-a-test", "kernel_id": "117146"}, {"ref": "debanjan1234/notebooke07fb03137", "kernel_id": "162001"}, {"ref": "luckygirl123/notebookb4daeb3b9f", "kernel_id": "147076"}, {"ref": "jeffrylee/notebooke2a40b774d", "kernel_id": "248956"}, {"ref": "jhsong/hello-ghost", "kernel_id": "248344"}, {"ref": "wikkefly/notebook8587de782b", "kernel_id": "280648"}, {"ref": "valenzione/keras-baseline", "kernel_id": "2913016"}, {"ref": "andkul/deep-lstm-to-predict-rainfall", "kernel_id": "2913741"}, {"ref": "goshaq/bidirectional-rnn-in-pytorch", "kernel_id": "2914977"}, {"ref": "adolgushev/rnn-rain", "kernel_id": "2891252"}, {"ref": "zytfoo/how-much-did-it-rain-kernel", "kernel_id": "2897580"}, {"ref": "ilya16/lstm-models", "kernel_id": "2879773"}, {"ref": "ipanchenko/pmdl-submission", "kernel_id": "2909366"}, {"ref": "alikhil/howmuchdiditrain-hw", "kernel_id": "3704197"}, {"ref": "wwe707/jsungkernel", "kernel_id": "3937890"}, {"ref": "oldmon/lstm-models", "kernel_id": "4044561"}, {"ref": "misals/basic-assessment", "kernel_id": "8195694"}, {"ref": "steveazzolin/masked-lstm-to-predict-rainfall", "kernel_id": "8238106"}, {"ref": "dakshauchagaonkar/notebook55bb1dee6c", "kernel_id": "11433688"}, {"ref": "aeryss/how-much-did-it-rain", "kernel_id": "12160481"}, {"ref": "aleksanderkunicki/rain-regression", "kernel_id": "18469337"}, {"ref": "brandonbenton/how-much-did-it-rain-ii", "kernel_id": "19339340"}, {"ref": "shitalpawar10/rain-regression", "kernel_id": "20582810"}, {"ref": "fengxiaofan/fork-of-how-much-did-it-rain", "kernel_id": "25697810"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "maslmah/predicting-rainfall-using-regression-techniques", "kernel_id": "33231206"}, {"ref": "natsum1/rain-lstm", "kernel_id": "35638305"}, {"ref": "cloudinyoursky/how-much-did-it-rain-ii-e916b6", "kernel_id": "35603212"}, {"ref": "david29345/test-nb", "kernel_id": "39354281"}, {"ref": "natsum1/stacking-method-4-models", "kernel_id": "39495324"}, {"ref": "natsum1/machine-learning-methods", "kernel_id": "39205742"}, {"ref": "lucasl37/project-2-case-3-how-much-did-it-rain-ii", "kernel_id": "40926807"}, {"ref": "fundaissearchingfor/where-to-rain", "kernel_id": "43754833"}, {"ref": "theudbald/optimize-mean-absolute-error-mae-with-xgboost", "kernel_id": "61344903"}, {"ref": "anastasialaschishina/how-much-did-it-rain", "kernel_id": "64370925"}, {"ref": "shahzaibali01/how-much-did-it-rain-ii", "kernel_id": "116437695"}]}
{"competition_id": "4504", "kernels": [{"ref": "rlagrois/macropca-with-unknown-features", "kernel_id": "4913144"}, {"ref": "rlagrois/testing-macropca-predictive-power-winton", "kernel_id": "4924160"}, {"ref": "zonghao/predicting-stock-returns-by-xgboost", "kernel_id": "11604648"}, {"ref": "neomatrix369/everything-you-can-do-with-a-time-series-cryptos", "kernel_id": "22711224"}, {"ref": "neomatrix369/everything-you-can-do-with-a-time-series-stocks", "kernel_id": "22687274"}, {"ref": "neomatrix369/everything-you-can-do-with-a-time-series-metals", "kernel_id": "23044906"}, {"ref": "dohuuthieu/everything-you-can-do-with-a-time-series-c-20e972", "kernel_id": "33164222"}, {"ref": "tranhuunghia/cryptos", "kernel_id": "33189236"}, {"ref": "prompath/eda-and-initial-modeling-for-stock-returns", "kernel_id": "35419650"}, {"ref": "yantaoxi/everything-you-can-do-with-a-time-series-stocks", "kernel_id": "45094928"}]}
{"competition_id": "4520", "kernels": []}
{"competition_id": "4521", "kernels": [{"ref": "petyros23/kernel3160817b93", "kernel_id": "3111653"}, {"ref": "solyoh21/fish-1-test", "kernel_id": "8801430"}, {"ref": "lucasgvazquez/road-to-the-top-part-1-a-dive-to-the-bottom", "kernel_id": "28775823"}, {"ref": "zhiyuanzhang15/resnet-34", "kernel_id": "29075963"}, {"ref": "lucasgvazquez/road-to-the-top-part-2-less-is-more", "kernel_id": "29549532"}, {"ref": "anastasiafineeva/notebook395b94d85f", "kernel_id": "38773539"}, {"ref": "kristinapoberezhna/right-whale-part-2", "kernel_id": "39159499"}, {"ref": "kristinapoberezhna/right-whale-part-1", "kernel_id": "39212481"}, {"ref": "anastasiafineeva/notebookeda", "kernel_id": "39502787"}, {"ref": "arihantdebnath/right-whale-resnet26d-v2", "kernel_id": "68458396"}, {"ref": "gagan010/right-whale-resnet26d-v2", "kernel_id": "69843014"}, {"ref": "jalkuwari/adl-final-rwr", "kernel_id": "72114250"}, {"ref": "jalkuwari/whale-finder", "kernel_id": "72203555"}, {"ref": "yeetened/notebook7fc3d2f60e", "kernel_id": "78184911"}, {"ref": "ybrar16/notebook8a0362a4be", "kernel_id": "102925483"}, {"ref": "gauranshmehra3c24/notebook885be485fc", "kernel_id": "102230464"}, {"ref": "chharia/dl-project-right-whale-recognition", "kernel_id": "102379005"}]}
{"competition_id": "4526", "kernels": [{"ref": "benhamner/data-files-available-1", "kernel_id": "17536"}, {"ref": "void32/notebook-7713ae8d0deb126502f2", "kernel_id": "26512"}, {"ref": "void32/notebook-4784ec5388f2f2cf19c3", "kernel_id": "26737"}, {"ref": "shreyask/notebook-f8a21f1be45deac796dd", "kernel_id": "27987"}, {"ref": "upulbandara/notebook-b63d4f69655f2e81e84a", "kernel_id": "25704"}, {"ref": "datacanary/notebook-f07bc86db862b402e55f", "kernel_id": "21998"}, {"ref": "utkuyabas/notebook-bd2fad2b42380a3436e2", "kernel_id": "23781"}, {"ref": "wendykan/demo-use", "kernel_id": "19679"}, {"ref": "michelblaauw/h2o-bag-of-words-template", "kernel_id": "17851"}, {"ref": "darshanms1991/msd-notebook", "kernel_id": "95813"}, {"ref": "tfjgeorge/notebook-242668f351364e87ccd0", "kernel_id": "25218"}, {"ref": "saurabh2086/whatscooking2", "kernel_id": "20000"}, {"ref": "saurabh2086/whatscooking", "kernel_id": "19783"}, {"ref": "saurabh2086/whatscooking-new", "kernel_id": "19784"}, {"ref": "drpatrickchan/linear-svc-on-bag-of-words", "kernel_id": "157947"}, {"ref": "jolavb/notebookc2b93c10e4", "kernel_id": "227663"}, {"ref": "thedjinn/notebook-c8fc2dcd7bb1a3e6eb22", "kernel_id": "26053"}, {"ref": "iwannafly/notebook-a7327d3a4942733bd919", "kernel_id": "22496"}, {"ref": "barryscott/notebook-98766a05ebfa89ffe44a", "kernel_id": "26610"}, {"ref": "tibogissel/notebook-f948e9cb785f1c233006", "kernel_id": "24593"}, {"ref": "jmhessel/notebook-697495c5406c00fc93ca", "kernel_id": "23959"}, {"ref": "usixuz/cultural-diffusion-by-recipes", "kernel_id": "34890"}, {"ref": "usixuz/notebook-42a1746f7f21f650339e", "kernel_id": "34891"}, {"ref": "mksunel/notebook-c5159cd2df1e8da52ff6", "kernel_id": "22339"}, {"ref": "mksunel/notebook-4142b653969803564a9c", "kernel_id": "22340"}, {"ref": "mksunel/notebook-497f38ebf06439fef095", "kernel_id": "22341"}, {"ref": "mhoch2/recipe", "kernel_id": "30307"}, {"ref": "bfaviero/what-s-cooking-my-first-random-forest", "kernel_id": "183163"}, {"ref": "davidboy/notebook-19bbdb6e214ba5a899a8", "kernel_id": "25250"}, {"ref": "davidboy/notebook-d7b40cfc84e5a13a5dcb", "kernel_id": "25251"}, {"ref": "j0shua/notebook-6474b65e258033846091", "kernel_id": "29713"}, {"ref": "johnbauer/notebook-1a87628e2ddaae69c977", "kernel_id": "23497"}, {"ref": "johnbauer/notebook-d7a472a5dc1fccc6e39c", "kernel_id": "23498"}, {"ref": "sleepyoli/notebook-381804e2d280966d1e10", "kernel_id": "22806"}, {"ref": "kuangchen/notebook-7078f0a09c1e9be64e8f", "kernel_id": "21683"}, {"ref": "kuangchen/notebook-bea529074fcc60a8e3f7", "kernel_id": "21684"}, {"ref": "brucelan/notebook-744b3aad0254c26ae1d7", "kernel_id": "23807"}, {"ref": "smenon/notebook-76b1f473ff8bd690395f", "kernel_id": "24010"}, {"ref": "smenon/notebook-313e49e99507bd0c8840", "kernel_id": "24012"}, {"ref": "fredrikskatland/what-s-cooking-svm", "kernel_id": "31860"}, {"ref": "briantcs/fork-demo", "kernel_id": "91889"}, {"ref": "viktorshaumann/notebook-f5ccfcb436ab889c8233", "kernel_id": "27256"}, {"ref": "adi8791/cooking", "kernel_id": "20423"}, {"ref": "normallydistrbuted/simple-bag-of-words-with-rf", "kernel_id": "20806"}, {"ref": "mohdatir/bag-of-ingredients-in-r", "kernel_id": "20256"}, {"ref": "mohdatir/inggre", "kernel_id": "20260"}, {"ref": "mohdatir/xgboost", "kernel_id": "22871"}, {"ref": "mohdatir/one-more", "kernel_id": "24384"}, {"ref": "mohdatir/tryingpython", "kernel_id": "23986"}, {"ref": "mohdatir/xgboost-new", "kernel_id": "24107"}, {"ref": "mohdatir/starter-xgboost-in-r", "kernel_id": "24131"}, {"ref": "mohdatir/onemore2", "kernel_id": "25143"}, {"ref": "mohdatir/python-cooking", "kernel_id": "29471"}, {"ref": "dnuttle/test-notebook", "kernel_id": "30101"}, {"ref": "pallavivudatha/notebook-7fa71e3709ead79b88af", "kernel_id": "27917"}, {"ref": "adason/tensorflow", "kernel_id": "30138"}, {"ref": "arseny/notebook-5f9a705f64d021b4bb6e", "kernel_id": "29918"}, {"ref": "strawberryman/notebook-72076a969ddc6caff0ea", "kernel_id": "23910"}, {"ref": "oroszgy/notebook-e82fff7d2129c9d13c3d", "kernel_id": "54182"}, {"ref": "rlx404/notebook-f3d65f643ec8eef08ad5", "kernel_id": "24348"}, {"ref": "kelvixx/notebook-a3fd90cc16da64818387", "kernel_id": "26038"}, {"ref": "pappukrjha/notebook-4cab831e408376631e5a", "kernel_id": "29210"}, {"ref": "pappukrjha/notebook-35521343f2cabf45a539", "kernel_id": "29195"}, {"ref": "pappukrjha/notebook-5f924e28bd45d9d269a6", "kernel_id": "29196"}, {"ref": "pappukrjha/whats-cooking-nb", "kernel_id": "29197"}, {"ref": "pappukrjha/notebook-6eb90dbb4dd3eaae7d73", "kernel_id": "29207"}, {"ref": "pappukrjha/notebook-493acdd4c113e93821da", "kernel_id": "29208"}, {"ref": "pappukrjha/whatscooking-python", "kernel_id": "28224"}, {"ref": "pappukrjha/whatscooking-python-1", "kernel_id": "29508"}, {"ref": "pappukrjha/notebook-ce00120905e11581a28e", "kernel_id": "29509"}, {"ref": "bplank/notebook-d1753305a83c05b02c66", "kernel_id": "30111"}, {"ref": "songpol/what-is-cooking", "kernel_id": "21474"}, {"ref": "johnfrye/notebook-bb0ea1bdacd510e3008a", "kernel_id": "28706"}, {"ref": "cs14dataminer/my-cooking-rpart", "kernel_id": "24395"}, {"ref": "karadgipooja/file1", "kernel_id": "17925"}, {"ref": "hungryhoser/notebook-6f90dad044a9f5d6ec3a", "kernel_id": "36393"}, {"ref": "hungryhoser/predict-recipe", "kernel_id": "36386"}, {"ref": "richjohnson/ingredient-exploration", "kernel_id": "26267"}, {"ref": "digitalninja/neuralnetwork", "kernel_id": "26733"}, {"ref": "djmmoss/pca-randomforrest", "kernel_id": "21463"}, {"ref": "djmmoss/cooking-script", "kernel_id": "21450"}, {"ref": "djmmoss/gaussian-bayes", "kernel_id": "21624"}, {"ref": "djmmoss/adaboost", "kernel_id": "21625"}, {"ref": "kabinash/word-lemma", "kernel_id": "26730"}, {"ref": "kabinash/notebook-f8fb8f68370fac55b637", "kernel_id": "26723"}, {"ref": "kabinash/notebook-6391183a3a3afa9da225", "kernel_id": "26727"}, {"ref": "kabinash/notebook-90127afd94a7cf72fa42", "kernel_id": "26728"}, {"ref": "kabinash/notebook-2e58d30d86ee8525b4a3", "kernel_id": "26991"}, {"ref": "kabinash/notebook-8b187c2b2518f87929a9", "kernel_id": "26992"}, {"ref": "kabinash/notebook-faa64635ecfbdf37f6c7", "kernel_id": "26945"}, {"ref": "kabinash/notebook-24ecf65df1bc3a4b43cb", "kernel_id": "26934"}, {"ref": "kabinash/sgdv2", "kernel_id": "27059"}, {"ref": "kabinash/rfclassifier", "kernel_id": "27052"}, {"ref": "kabinash/sgdclasifier", "kernel_id": "27053"}, {"ref": "kabinash/notebook-6a56d69fffa8a29c38e8", "kernel_id": "27041"}, {"ref": "kabinash/notebook-19fc2b5aac1b3684854c", "kernel_id": "27046"}, {"ref": "kabinash/notebook-34e1596a0ddcefed0fd8", "kernel_id": "26999"}, {"ref": "kabinash/notebook-63baf00e080a351e5a7e", "kernel_id": "27001"}, {"ref": "kabinash/mlpclassifier", "kernel_id": "28712"}, {"ref": "ahmedhanibrahim/notebook-ac9214951ee7eef4f169", "kernel_id": "28486"}, {"ref": "ahmedhanibrahim/using-logistic-regression", "kernel_id": "28489"}, {"ref": "ahmedhanibrahim/notebook-d8be8c3d7df37cbc9765", "kernel_id": "44845"}, {"ref": "ahmedhanibrahim/notebook-e4bd1bdbeb0700ea1b02", "kernel_id": "44878"}, {"ref": "ahmedhanibrahim/notebook-8f8b0f891ccda518803f", "kernel_id": "44874"}, {"ref": "datayo/testa", "kernel_id": "27579"}, {"ref": "vsmolyakov/notebook9737e4af50", "kernel_id": "264924"}, {"ref": "valentinmikhaylenko/notebook-546cfcfe164083f18461", "kernel_id": "36762"}, {"ref": "lvraikkonen/notebook-34e8aebf5531b662019d", "kernel_id": "27072"}, {"ref": "halflings/ingredient-recommender-system", "kernel_id": "728811"}, {"ref": "inirmal/recipe-classification", "kernel_id": "258439"}, {"ref": "douglaschanhk/xgboost", "kernel_id": "23501"}, {"ref": "mrfroll/10-most-used-ingredients-by-cuisines", "kernel_id": "18118"}, {"ref": "khyh00/deep-cooking", "kernel_id": "18111"}, {"ref": "einvasion/bag-of-ingredients-in-r", "kernel_id": "18276"}, {"ref": "alfredogmarquez/whats-cooking", "kernel_id": "17970"}, {"ref": "alfredogmarquez/notebook-d17be1f5ff709b7d88d9", "kernel_id": "61705"}, {"ref": "alfredogmarquez/notebook-08a70480ce054f568849", "kernel_id": "61706"}, {"ref": "brantyz/notebook-4dafbd2a735e6571230a", "kernel_id": "21226"}, {"ref": "adsmaniotto/notebook-409f9ec968e3f26b59af", "kernel_id": "26539"}, {"ref": "inventology/starter-xgboost-in-r", "kernel_id": "25844"}, {"ref": "mohammedniyas/10-most-used-ingredients", "kernel_id": "30289"}, {"ref": "catherineyakovleva/notebook-6cfd584e047fe388252d", "kernel_id": "29419"}, {"ref": "tdcolorado/cultural-diffusion-by-recipes", "kernel_id": "55707"}, {"ref": "tdcolorado/notebook-a2f5a22e7f99af6764a9", "kernel_id": "55708"}, {"ref": "jaredlau/notebook-04c1250216b86be682bd", "kernel_id": "23864"}, {"ref": "jaredlau/navie-bayes", "kernel_id": "23866"}, {"ref": "actusz/notebook-160b6da38a9519267d04", "kernel_id": "30015"}, {"ref": "actusz/notebook-48ca65c46d4bd6c848a9", "kernel_id": "30019"}, {"ref": "justfor/some-python-cooking", "kernel_id": "26244"}, {"ref": "justfor/just-cooking", "kernel_id": "25779"}, {"ref": "iezepov/notebook-429bd06995094702b61a", "kernel_id": "29663"}, {"ref": "anisdube/run-done", "kernel_id": "18813"}, {"ref": "amhchiu/bag-of-ingredients-in-r", "kernel_id": "17694"}, {"ref": "kashyap123/observing-the-features", "kernel_id": "17642"}, {"ref": "jdzejdzej/cultural-diffusion-by-recipes", "kernel_id": "33897"}, {"ref": "gkjohns/notebook-d81e76863242e5bd801a", "kernel_id": "26453"}, {"ref": "gtiberti/whatscooking", "kernel_id": "29414"}, {"ref": "nincha/notebook375afe1a57", "kernel_id": "138899"}, {"ref": "dukrainets/notebook-27763ee88a2632bebf0c", "kernel_id": "26351"}, {"ref": "anilwurity/notebook-5733f34c22ee00c55b86", "kernel_id": "20851"}, {"ref": "lyndonarmitage/notebook-67beb46d5a22dcef9182", "kernel_id": "29584"}, {"ref": "spark08/spark08", "kernel_id": "99377"}, {"ref": "randyjp/naivebayesr", "kernel_id": "23175"}, {"ref": "aditya23/first-submission", "kernel_id": "32260"}, {"ref": "tmetais/starter-xgboost-in-r-2", "kernel_id": "26920"}, {"ref": "poonamawale3/notebook-6c05a886c5e952e84e79", "kernel_id": "20464"}, {"ref": "monikabhajipale/what-s-cooking", "kernel_id": "29501"}, {"ref": "monikabhajipale/notebook-90e8496a3403743ae3dd", "kernel_id": "29502"}, {"ref": "mcwalters/notebook-5c15955d5b82c49132d3", "kernel_id": "30313"}, {"ref": "mcwalters/notebook-47b56570168e572537e5", "kernel_id": "30315"}, {"ref": "jerrythomas/notebook-bbc04cb878fc07b98817", "kernel_id": "30330"}, {"ref": "jerrythomas/word-lemma", "kernel_id": "30219"}, {"ref": "jerrythomas/notebook-9a16f20b514be6bd5261", "kernel_id": "30220"}, {"ref": "jerrythomas/notebook-2c694669abb593620fc7", "kernel_id": "30222"}, {"ref": "jerrythomas/notebook-fd271073c31dc83b43bc", "kernel_id": "30136"}, {"ref": "karma86/naive-b", "kernel_id": "22226"}, {"ref": "jackverr/what-s-french-cooking", "kernel_id": "22584"}, {"ref": "botto1/notebook-c681b43ea0c0fe00f516", "kernel_id": "26888"}, {"ref": "lspashwin29/basescript", "kernel_id": "25543"}, {"ref": "shadowfax61/notebookcaa4a1b85e", "kernel_id": "187025"}, {"ref": "amandus/py-cooking-copyed", "kernel_id": "25928"}, {"ref": "eeriee/notebook-bf108dfb59413c0fe65e", "kernel_id": "26636"}, {"ref": "eeriee/notebook-986464fef01b1d253f6e", "kernel_id": "24371"}, {"ref": "ckchow/cooking", "kernel_id": "22255"}, {"ref": "ckchow/notebook-8e494aeb0dc17ff2344f", "kernel_id": "22256"}, {"ref": "jayanth2803/notebook-c7a2f5a8b21bbc5c47e0", "kernel_id": "22607"}, {"ref": "dddomiko/notebook-3fb1eeaac0db52307939", "kernel_id": "29243"}, {"ref": "mattgenkin/observing-the-features", "kernel_id": "17652"}, {"ref": "wp3891/notebook-29f60194779d5e0b2771", "kernel_id": "24491"}, {"ref": "alonalevy/cultural-diffusion-by-recipes", "kernel_id": "33830"}, {"ref": "alonalevy/notebook-c1ae8aac5a18506b4551", "kernel_id": "62427"}, {"ref": "paradesi/h2o-bag-of-words-template-0-19268", "kernel_id": "18528"}, {"ref": "kurai21/notebook-572558586d6f2e82476a", "kernel_id": "20597"}, {"ref": "luchadorvader/notebook-1a8a0c60b84dce9f1bbc", "kernel_id": "22510"}, {"ref": "drewplant/notebook-8f1d5743f8d12df989f5", "kernel_id": "25102"}, {"ref": "lietwin/notebook-f7f3b575fb1f2da3d0ff", "kernel_id": "24452"}, {"ref": "yoyocm/notebook-7f768ff53c913281bc5a", "kernel_id": "29998"}, {"ref": "geauxeric/notebook-13f3f976e34cb39f4087", "kernel_id": "28094"}, {"ref": "aostrikov/notebook-ed89ecb4486fbc81099a", "kernel_id": "30904"}, {"ref": "mef123/notebook-d509611ce6779682c12f", "kernel_id": "23329"}, {"ref": "viktor/notebook-43bbcac6a3214b42038d", "kernel_id": "30955"}, {"ref": "manuelatadvice/common-ingredients", "kernel_id": "18181"}, {"ref": "manuelatadvice/noname", "kernel_id": "18000"}, {"ref": "manuelatadvice/10-most-used-ingredients-by-cuisine", "kernel_id": "18479"}, {"ref": "yetilihu/notebook-1f4636a51e8cda1ba9dc", "kernel_id": "28761"}, {"ref": "victorama/cultural-diffusion-by-recipes", "kernel_id": "35382"}, {"ref": "bennokr/notebook-1c46685996027aef666a", "kernel_id": "29681"}, {"ref": "rayleighjeans/top-10-distinct-ingredients", "kernel_id": "18581"}, {"ref": "kdziedzic66/notebook-63b6e14dab03109fe1f9", "kernel_id": "25188"}, {"ref": "kdziedzic66/simple-solution-using-spark-and-gensim", "kernel_id": "28042"}, {"ref": "tofutiger/notebook-2a8ccaf86305ff1178e3", "kernel_id": "24248"}, {"ref": "tofutiger/getting-started", "kernel_id": "24249"}, {"ref": "tofutiger/whatscooking-python", "kernel_id": "24251"}, {"ref": "yilihome/simple-xgboost-in-r", "kernel_id": "21885"}, {"ref": "hechaohui/asd-123", "kernel_id": "18383"}, {"ref": "hechaohui/cooking-test", "kernel_id": "20698"}, {"ref": "themixedfermions/k-nearest-neighbor", "kernel_id": "19478"}, {"ref": "camillus777/notebook-af76c7abc2ad7867f2c3", "kernel_id": "24324"}, {"ref": "shinto/notebook518bb3e59c", "kernel_id": "115872"}, {"ref": "mvelax/notebook-33a0308eb455b750ad29", "kernel_id": "27854"}, {"ref": "teaonly/notebook-8e1bc67185f4686a13f1", "kernel_id": "22802"}, {"ref": "gffcoutinho/notebook-7ac263e87bb7ef3e8749", "kernel_id": "21195"}, {"ref": "gffcoutinho/notebook-4a15d85852d8146da894", "kernel_id": "20756"}, {"ref": "merlin101/notebook-f2321a78a42fcdeccbf9", "kernel_id": "28096"}, {"ref": "leenbean/notebook-029fd6528b6c48ce410f", "kernel_id": "24631"}, {"ref": "aadland6/pipelinetest", "kernel_id": "379841"}, {"ref": "aadland6/what-s-cooking-scratch", "kernel_id": "333664"}, {"ref": "sakarihakala/notebook-0f5154595f4fbf1152f4", "kernel_id": "24548"}, {"ref": "regenerator/notebook-0b8c7489809ce4f05f94", "kernel_id": "29006"}, {"ref": "beeffy/decision-tree", "kernel_id": "24267"}, {"ref": "mefbif/ingradient-matching", "kernel_id": "24274"}, {"ref": "sruefer/notebook-3b4c0a0d78de0570be5f", "kernel_id": "22944"}, {"ref": "apapiu/linear-svc-on-bag-of-words", "kernel_id": "92301"}, {"ref": "oattart/ingredients", "kernel_id": "23058"}, {"ref": "oattart/test-cokking", "kernel_id": "23047"}, {"ref": "srinisid/gbm-script", "kernel_id": "26573"}, {"ref": "varunpurohit76/03-11-200-10", "kernel_id": "22974"}, {"ref": "varunpurohit76/03-11-175", "kernel_id": "22972"}, {"ref": "amalgamatedclyde/notebook-8234b69af0d03f3a1fc5", "kernel_id": "25599"}, {"ref": "klooonal/crysis-4", "kernel_id": "24865"}, {"ref": "klooonal/testcook", "kernel_id": "24372"}, {"ref": "klooonal/nnagain", "kernel_id": "24431"}, {"ref": "klooonal/three", "kernel_id": "24418"}, {"ref": "mohanpb/svm-script", "kernel_id": "58244"}, {"ref": "mohanpb/notebook-6f509a70d885ccc0c8fb", "kernel_id": "58245"}, {"ref": "mohanpb/svm-whatscooking", "kernel_id": "58271"}, {"ref": "beteemde/xgboost-1", "kernel_id": "28499"}, {"ref": "ehalket/notebook-a0da6e1000efae42e1b6", "kernel_id": "22409"}, {"ref": "babajaguska/bag-of-ingredients-in-r", "kernel_id": "24667"}, {"ref": "vincentclaes/notebook-718e419ed53faa487f6c", "kernel_id": "37290"}, {"ref": "vincentclaes/notebook-0b22c26d7d0d9f979ac8", "kernel_id": "37300"}, {"ref": "vincentclaes/clustering-food-by-cuisine", "kernel_id": "37287"}, {"ref": "vincentclaes/cultural-diffusion-by-recipes", "kernel_id": "37278"}, {"ref": "vincentclaes/notebook-92a8ca01e8b34a718fbc", "kernel_id": "48322"}, {"ref": "vincentclaes/notebook-9708050a89ec39cfa680", "kernel_id": "48326"}, {"ref": "vincentclaes/notebook-5ece65ea1545a3acc5cf", "kernel_id": "48079"}, {"ref": "vincentclaes/notebook-af5f8fc0bec6a9015567", "kernel_id": "44905"}, {"ref": "vincentclaes/notebook-e6e6818607ebc59b479c", "kernel_id": "44907"}, {"ref": "vincentclaes/notebook-18cecfd5c948720ab1d9", "kernel_id": "44897"}, {"ref": "vincentclaes/notebook-92bd552b69005b6de33e", "kernel_id": "44898"}, {"ref": "vincentclaes/notebook-6b1ae5090c8c425e31ed", "kernel_id": "44473"}, {"ref": "vincentclaes/notebook-cd47fca873b825cc3417", "kernel_id": "44419"}, {"ref": "dujekmancin/notebook-55b878dcbcea7c876a5a", "kernel_id": "52905"}, {"ref": "dujekmancin/notebook-b5f867338fea1bf14f83", "kernel_id": "52906"}, {"ref": "dujekmancin/notebook-31441ceb660ffb25f2e0", "kernel_id": "52907"}, {"ref": "dujekmancin/mkmkmkm", "kernel_id": "52818"}, {"ref": "dujekmancin/notebook-122fac0e5e9c45526862", "kernel_id": "52861"}, {"ref": "dujekmancin/notebook-0ce937ded5fd52f40b33", "kernel_id": "53049"}, {"ref": "dujekmancin/notebook-919af03092260b36802b", "kernel_id": "53283"}, {"ref": "dipayan/whatscooking-python", "kernel_id": "18093"}, {"ref": "dipayan/notebook-bd85f839842d74e50ac7", "kernel_id": "20450"}, {"ref": "belskikh/notebook-3d209beafc43998cad4c", "kernel_id": "23004"}, {"ref": "smaraki/try-01", "kernel_id": "26738"}, {"ref": "smaraki/bag-of-ingredients-in-r", "kernel_id": "26448"}, {"ref": "bbx396/test123", "kernel_id": "21994"}, {"ref": "yuvisu/notebook-1583906890bf4e66e7d6", "kernel_id": "23835"}, {"ref": "pawansingh/notebook-test", "kernel_id": "31325"}, {"ref": "thays42/notebook-216755431d9c31474879", "kernel_id": "21455"}, {"ref": "thays42/notebook-e9653697845d57330056", "kernel_id": "21458"}, {"ref": "thays42/ingredients-nb", "kernel_id": "21445"}, {"ref": "elkali/second", "kernel_id": "26054"}, {"ref": "elkali/testing", "kernel_id": "26055"}, {"ref": "elkali/first", "kernel_id": "26050"}, {"ref": "elkali/notebook-6cecdffeb802acec7871", "kernel_id": "26051"}, {"ref": "kangshifu/h2o-bag-of-words-template-0-19268", "kernel_id": "18086"}, {"ref": "dm14301037/notebook-67cd2ec75f16f0186462", "kernel_id": "26925"}, {"ref": "dm14301037/notebook-e0ac316073a728d0a7ff", "kernel_id": "27018"}, {"ref": "dm14301037/notebook-9d050f39a9ad97a4aab8", "kernel_id": "28968"}, {"ref": "dm14301037/notebook-885ba4c194b9efb02031", "kernel_id": "29446"}, {"ref": "dm14301037/notebook-4afa8414a7c35656c19f", "kernel_id": "29426"}, {"ref": "dmhuangyq/notebook-0454d6143dcc29d70524", "kernel_id": "29683"}, {"ref": "sterpa/notebook-30468665ef484bee8079", "kernel_id": "25905"}, {"ref": "jerryclc/whatscooking-new", "kernel_id": "28404"}, {"ref": "jerryclc/notebook-0981cf787f0b55f9de9e", "kernel_id": "28405"}, {"ref": "mickeylyh/test1", "kernel_id": "26367"}, {"ref": "mickeylyh/kaggle-ii-naive-bayes", "kernel_id": "26379"}, {"ref": "mickeylyh/kaggle-ii-decision-tree", "kernel_id": "26390"}, {"ref": "mickeylyh/kaggle-ii-rf", "kernel_id": "26395"}, {"ref": "mickeylyh/kaggle-ii-rf-3", "kernel_id": "26781"}, {"ref": "mickeylyh/navie-bayes", "kernel_id": "25274"}, {"ref": "lynzhe26/10-most-used-ingredients", "kernel_id": "18304"}, {"ref": "tjp5115/notebook-b5c90f0e19e2cafb7ec4", "kernel_id": "21198"}, {"ref": "banstick/starter-xgboost", "kernel_id": "26464"}, {"ref": "saturdaystep/notebook-8d95b044e5896ddb3872", "kernel_id": "23844"}, {"ref": "florisr/notebook-8881c51de1f31366765c", "kernel_id": "23439"}, {"ref": "joaocruz/aatest", "kernel_id": "29927"}, {"ref": "joaocruz/notebook-c0e1a74249f3dc41191a", "kernel_id": "29928"}, {"ref": "joaocruz/notebook-19e77146b8f0d03734b6", "kernel_id": "30258"}, {"ref": "joaocruz/notebook-1b3edbe50acfac578275", "kernel_id": "30295"}, {"ref": "ztong4/notebook-44ac5f0e9eb7fda1fc93", "kernel_id": "21992"}, {"ref": "kamchatsk/asdasd", "kernel_id": "19163"}, {"ref": "kamchatsk/teste", "kernel_id": "18716"}, {"ref": "pim3301/notebook-4c413e01a3c4c1479792", "kernel_id": "23100"}, {"ref": "shivaniginde/assignment-2", "kernel_id": "25465"}, {"ref": "shivaniginde/notebook-bb26e250bec2347fe330", "kernel_id": "27000"}, {"ref": "shivaniginde/notebook-f70d6953a6906a3d0e4d", "kernel_id": "26933"}, {"ref": "shivaniginde/notebook-5a441a2f0db0db68846d", "kernel_id": "26944"}, {"ref": "shivaniginde/notebook-806f6feb41068c8fad37", "kernel_id": "26778"}, {"ref": "shivaniginde/notebook-06d70e2cac7dc7979717", "kernel_id": "26445"}, {"ref": "shivaniginde/kaggle-model2", "kernel_id": "26251"}, {"ref": "shivaniginde/notebook-8a8d67aa714fcf9f44b6", "kernel_id": "26264"}, {"ref": "shivaniginde/notebook-3cb08f742025f9b9fd45", "kernel_id": "26268"}, {"ref": "shivaniginde/notebook-c1fc47b4862ebd184bfe", "kernel_id": "26280"}, {"ref": "shivaniginde/notebook-f17eef5c80b3386cafc6", "kernel_id": "26284"}, {"ref": "shivaniginde/notebook-3b6dce110c6ceea9ffe0", "kernel_id": "26290"}, {"ref": "shivaniginde/notebook-59319d3e154be4f46daa", "kernel_id": "26277"}, {"ref": "shivaniginde/kaggle2", "kernel_id": "25636"}, {"ref": "shivaniginde/kaggle-2", "kernel_id": "25567"}, {"ref": "artinyam/dtree", "kernel_id": "26787"}, {"ref": "artinyam/arwersf", "kernel_id": "26788"}, {"ref": "artinyam/abcde", "kernel_id": "26570"}, {"ref": "owlz84/classifying-cuisine-with-keras-and-glove", "kernel_id": "487406"}, {"ref": "sleepbag/xgb-test", "kernel_id": "29954"}, {"ref": "sleepbag/sleepbag-test-all", "kernel_id": "30163"}, {"ref": "sleepbag/mlp-start", "kernel_id": "30085"}, {"ref": "sleepbag/whatscooking-python", "kernel_id": "25710"}, {"ref": "bradyhau106/notebook-dae0239c61c351ff0a96", "kernel_id": "26612"}, {"ref": "balthasar/testing", "kernel_id": "19164"}, {"ref": "ivanyu1215/notebook-173d9c49927a7f8b1757", "kernel_id": "23216"}, {"ref": "qwe0814/notebook-b74627192bf9bcd84639", "kernel_id": "23616"}, {"ref": "ktalumi/testlll", "kernel_id": "26488"}, {"ref": "pradeepven6/notebook-9f198487006bf3d10ac5", "kernel_id": "31799"}, {"ref": "oliviawinn/testing", "kernel_id": "19703"}, {"ref": "caro42/whatscooking-python", "kernel_id": "24373"}, {"ref": "lorifei/notebook-8289acfc8947da2b2fd2", "kernel_id": "25328"}, {"ref": "lorifei/whatscooking1", "kernel_id": "25329"}, {"ref": "lorifei/notebook-a0e0466db95a5eb3c042", "kernel_id": "24883"}, {"ref": "lorifei/script4-lr", "kernel_id": "26287"}, {"ref": "lorifei/rf500trees", "kernel_id": "25591"}, {"ref": "lorifei/script1-naivemodel", "kernel_id": "25862"}, {"ref": "lorifei/script2-randomforest-nocleaning", "kernel_id": "25863"}, {"ref": "abochkarev/testt", "kernel_id": "19835"}, {"ref": "devonmedlin/devon-random-forest-attempt-2", "kernel_id": "25288"}, {"ref": "terc11/try02", "kernel_id": "26282"}, {"ref": "terc11/try01", "kernel_id": "26252"}, {"ref": "terc11/whatscooking-python-1", "kernel_id": "25213"}, {"ref": "terc11/12345", "kernel_id": "25214"}, {"ref": "terc11/123456", "kernel_id": "25325"}, {"ref": "terc11/abcde1", "kernel_id": "25067"}, {"ref": "terc11/abcde", "kernel_id": "25065"}, {"ref": "sisira/random-forest", "kernel_id": "26697"}, {"ref": "sisira/kaggle", "kernel_id": "26691"}, {"ref": "yuenyuenwha/randomffff", "kernel_id": "26538"}, {"ref": "yuenyuenwha/just-cooking", "kernel_id": "26818"}, {"ref": "yuenyuenwha/notebook-0bbe6ac544249dc19856", "kernel_id": "26254"}, {"ref": "yuenyuenwha/notebook-96e2d40d021a1d35c1bd", "kernel_id": "26255"}, {"ref": "yuenyuenwha/notebook-7be08506f19e442aa97c", "kernel_id": "26256"}, {"ref": "yuenyuenwha/notebook-3cb618b8e2981b2b065b", "kernel_id": "26259"}, {"ref": "yuenyuenwha/naivebayesr", "kernel_id": "26265"}, {"ref": "yuenyuenwha/notebook-8745fd0ffeb2ab5ff1d0", "kernel_id": "26261"}, {"ref": "yuenyuenwha/notebook-81fc8d452f154e41eef5", "kernel_id": "26262"}, {"ref": "yuenyuenwha/notebook-f4f33943f18290baf623", "kernel_id": "26263"}, {"ref": "erm93ct/notebook-9a1519d7161afd1d1b0c", "kernel_id": "26927"}, {"ref": "erm93ct/notebook-d1bf1055b492b0f29d0e", "kernel_id": "26928"}, {"ref": "erm93ct/mgmt-6963-kaggle-2", "kernel_id": "26929"}, {"ref": "cheny23/trial-1-cook", "kernel_id": "26648"}, {"ref": "yuanmeng/xgboost-in-r", "kernel_id": "25877"}, {"ref": "yuanmeng/random-forest", "kernel_id": "25890"}, {"ref": "yuanmeng/starter-xgb", "kernel_id": "25860"}, {"ref": "yuanmeng/rxgboost", "kernel_id": "25861"}, {"ref": "yuanmeng/bag-of-ingredients-in", "kernel_id": "25835"}, {"ref": "yuanmeng/bag-of-ingredients-in-r", "kernel_id": "25791"}, {"ref": "yuanmeng/whatscooking-python", "kernel_id": "25908"}, {"ref": "bynumi/bag-of-ingredients-in-r", "kernel_id": "22112"}, {"ref": "bynumi/starter-xgboost-in-r", "kernel_id": "22113"}, {"ref": "aijiaosa/test1", "kernel_id": "26024"}, {"ref": "jesscj85/notebook-b2fcaf7a628114ffa16b", "kernel_id": "25395"}, {"ref": "jesscj85/what-s-cooking-naive-bayes", "kernel_id": "25413"}, {"ref": "sharongao/randomforrest-whats-cooking", "kernel_id": "25294"}, {"ref": "sharongao/column-making-for-decision-tree-bad", "kernel_id": "25296"}, {"ref": "sharongao/notebook-060df6457641d2d9c1b8", "kernel_id": "26415"}, {"ref": "sharongao/notebook-d00ee4d5acb2b42371d5", "kernel_id": "26416"}, {"ref": "sharongao/notebook-90c157ddbcf979865b84", "kernel_id": "26418"}, {"ref": "sharongao/decision-tree", "kernel_id": "26419"}, {"ref": "sharongao/notebook-8ccb767735e1c2da8f9f", "kernel_id": "26523"}, {"ref": "sharongao/naive-bayes-with-bernoulli-distribution", "kernel_id": "26502"}, {"ref": "sharongao/random-forest", "kernel_id": "26515"}, {"ref": "sharongao/random-forest-ii", "kernel_id": "26516"}, {"ref": "sharongao/r-random-forest", "kernel_id": "26517"}, {"ref": "sharongao/randomforrest", "kernel_id": "21734"}, {"ref": "justoregano/notebook-fa3d943b1b58362e72fb", "kernel_id": "23839"}, {"ref": "justoregano/totally-stolen-20-most-used-ingredients", "kernel_id": "23847"}, {"ref": "dioxide/notebook-af8ebc642efb2c002cfd", "kernel_id": "26593"}, {"ref": "averagedog/naive-bayes-with-bernoulli-distribution", "kernel_id": "23704"}, {"ref": "byrgtmerlin/notebook-39a3c64bf5d7d53c29d4", "kernel_id": "20411"}, {"ref": "yujitoyokawa/notebook-ead9bd181e0a3431a9a5", "kernel_id": "22160"}, {"ref": "tomaszgrel/naive-bayes-with-bernoulli-distribution", "kernel_id": "20576"}, {"ref": "tomaszgrel/simple-linear-svc", "kernel_id": "20604"}, {"ref": "tomaszgrel/notebook-1a214cc51e4e43b83c2a", "kernel_id": "20694"}, {"ref": "athresh/notebook-041b844397d79559ce3b", "kernel_id": "23514"}, {"ref": "athresh/notebook-0ed6323146769127de71", "kernel_id": "23484"}, {"ref": "athresh/simple-analysis", "kernel_id": "23485"}, {"ref": "cookingmasterboy/notebook-2087a822b16c98026ac7", "kernel_id": "30182"}, {"ref": "cookingmasterboy/neural-network-test", "kernel_id": "30142"}, {"ref": "lnddzy/notebook-7433fb43749322986a30", "kernel_id": "25475"}, {"ref": "lnddzy/notebook-aa95bcea19da45e9eba4", "kernel_id": "26325"}, {"ref": "lnddzy/decision-tree1", "kernel_id": "26576"}, {"ref": "lnddzy/notebook-64e2910672bdfdbb04d0", "kernel_id": "26566"}, {"ref": "lnddzy/decision-tree", "kernel_id": "26567"}, {"ref": "lnddzy/random-forest", "kernel_id": "26964"}, {"ref": "lnddzy/xgboost", "kernel_id": "27007"}, {"ref": "mmoreno/notebook-c1b4f8ddee7be1fe0eaf", "kernel_id": "20971"}, {"ref": "mmoreno/notebook-62ab63054b3db50cd5dd", "kernel_id": "20972"}, {"ref": "ppj910802/notebook-4a165b231211b800c9d0", "kernel_id": "21027"}, {"ref": "ppj910802/notebook-ad3740a6ddaff8f2acf3", "kernel_id": "26913"}, {"ref": "bin0511/h2o-bintest", "kernel_id": "26652"}, {"ref": "fanccat/notebook-0a62a91166dda2731f32", "kernel_id": "33362"}, {"ref": "fanccat/notebook-74c225228383ce8caf50", "kernel_id": "39453"}, {"ref": "fanccat/notebook-1804814a957d609b0734", "kernel_id": "39454"}, {"ref": "fanccat/notebook-95cc6577f9e4e6c1ae86", "kernel_id": "39455"}, {"ref": "jeremydoyle75/output", "kernel_id": "29632"}, {"ref": "sedrafarzam/notebook-f08e63e00d51110b9968", "kernel_id": "23554"}, {"ref": "briang/starter-xgboost-in-r", "kernel_id": "22530"}, {"ref": "hetruong/notebook-473f3b27615cae77a24f", "kernel_id": "26621"}, {"ref": "kellyjimenez/notebook-26764b1d9ca3c0dd47e8", "kernel_id": "23278"}, {"ref": "guschadney/gaussian-naive-bayes", "kernel_id": "23232"}, {"ref": "npauran/notebook-b29cf6b70a4935ab80b5", "kernel_id": "25546"}, {"ref": "npauran/notebook-fd9748ef4ed2523efc91", "kernel_id": "25554"}, {"ref": "stardestroyer85/notebook-2be8bc80e11527e506de", "kernel_id": "27431"}, {"ref": "stardestroyer85/notebook-d0249e0d598d0d434d12", "kernel_id": "27432"}, {"ref": "stardestroyer85/trying-to-predict-cuisine", "kernel_id": "27433"}, {"ref": "stardestroyer85/notebook-84907a6640ef09617c21", "kernel_id": "27428"}, {"ref": "stardestroyer85/notebook-9e4bf3828c7d5a23f65c", "kernel_id": "24716"}, {"ref": "stardestroyer85/cs100-notebook", "kernel_id": "24717"}, {"ref": "stardestroyer85/10-most-used-ingredients2", "kernel_id": "24704"}, {"ref": "stardestroyer85/notebook-7e714db4b9c87a4cd092", "kernel_id": "24685"}, {"ref": "stardestroyer85/test123", "kernel_id": "24692"}, {"ref": "stardestroyer85/notebook-0bc7dc4b52362191ca32", "kernel_id": "24702"}, {"ref": "stardestroyer85/notebook-c6ee635f99c520224b66", "kernel_id": "24726"}, {"ref": "stardestroyer85/qwerty", "kernel_id": "25029"}, {"ref": "stardestroyer85/cs100-assignment", "kernel_id": "25002"}, {"ref": "stardestroyer85/notebook-44ff74746409a0a9c512", "kernel_id": "25004"}, {"ref": "stardestroyer85/cs100-assignment1", "kernel_id": "25013"}, {"ref": "stardestroyer85/iughiuh", "kernel_id": "25015"}, {"ref": "sepharmstrong/cs-100-stuff", "kernel_id": "25043"}, {"ref": "sepharmstrong/notebook-1b9d19a9a98d82cc5f7b", "kernel_id": "24687"}, {"ref": "sepharmstrong/notebook-7a97e2f175796d81ab20", "kernel_id": "24690"}, {"ref": "saurabhk666/notebook-918707908b03e5766e0c", "kernel_id": "22795"}, {"ref": "jpereda/test1", "kernel_id": "22820"}, {"ref": "jpereda/gaussianmodel", "kernel_id": "23085"}, {"ref": "rsverma/notebook-12b7486346c3ca748b44", "kernel_id": "26099"}, {"ref": "naveenkudupudi/notebook-770cadef31909c933494", "kernel_id": "23751"}, {"ref": "naveenkudupudi/cusinesense", "kernel_id": "23752"}, {"ref": "kragle285/notebook-fad392e01e7b4b39abaf", "kernel_id": "25466"}, {"ref": "kragle285/bag-of-ingredients-in-r", "kernel_id": "25469"}, {"ref": "kragle285/10-most-used-ingredients", "kernel_id": "25031"}, {"ref": "kragle285/notebook-0b214861f24bf6e42e02", "kernel_id": "25007"}, {"ref": "marthawinata/notebook-c9bb7f6a6c4916fc3a25", "kernel_id": "28790"}, {"ref": "adarshk1989/whatscooking-python", "kernel_id": "23146"}, {"ref": "aaltoit/notebook-8044387c52bf3364ae7e", "kernel_id": "35867"}, {"ref": "bojiansun100/notebook-7b2ea5022ff1e72751f5", "kernel_id": "27727"}, {"ref": "bojiansun100/notebook-febf66bc2ef64bb7aed1", "kernel_id": "27736"}, {"ref": "tylerjharden/test-cook", "kernel_id": "25601"}, {"ref": "hoffavi/notebook-756ca7be340e1fdad712", "kernel_id": "27640"}, {"ref": "vpashte/notebook-26c66aa49cb46256d507", "kernel_id": "23661"}, {"ref": "jjones13/notebook-32e40423e4a0ba158290", "kernel_id": "23708"}, {"ref": "kyuridenamida/notebook-294558bb169a17ff35c9", "kernel_id": "29855"}, {"ref": "kyuridenamida/notebook-9d8a095095cc834aed19", "kernel_id": "30045"}, {"ref": "kyuridenamida/notebook-d476c7a170d863048236", "kernel_id": "30046"}, {"ref": "kyuridenamida/notebook-8850e032680a13b92e67", "kernel_id": "28974"}, {"ref": "watdaf/number-of-training-test-set-recipes", "kernel_id": "27412"}, {"ref": "watdaf/testttt", "kernel_id": "26987"}, {"ref": "moswendy/notebook-a5c2297ac7fd64c2954e", "kernel_id": "30636"}, {"ref": "liuweiyuan/starter-xgboost-in-r", "kernel_id": "49498"}, {"ref": "liuweiyuan/jjjjjjjjjjjjjjjj", "kernel_id": "49499"}, {"ref": "liuweiyuan/notebook-b4a5c23e9b8029b40392", "kernel_id": "49500"}, {"ref": "liuweiyuan/ooooooooooooooooo", "kernel_id": "49501"}, {"ref": "liuweiyuan/notebook-ece041bb05ad32ffa2df", "kernel_id": "49503"}, {"ref": "liuweiyuan/notebook-8dd31a2ec10a9abc45a0", "kernel_id": "49504"}, {"ref": "jcortesr/starter-xgboost-in-r", "kernel_id": "30231"}, {"ref": "blegblinks/notebook-02f76686de46c027df74", "kernel_id": "27607"}, {"ref": "ku36051/notebook-9d42253da90a8ce00d3e", "kernel_id": "25954"}, {"ref": "jysandy/cooking-with-sklearn", "kernel_id": "24934"}, {"ref": "sarmehta/notebook-439f147030cd029959c5", "kernel_id": "28181"}, {"ref": "sarmehta/notebook-9e0d47295a959d51268a", "kernel_id": "27821"}, {"ref": "sarmehta/notebook-a4e98da9391cea58991f", "kernel_id": "24314"}, {"ref": "mids207dz/notebook-d1739cf5e85159d5b0a9", "kernel_id": "24331"}, {"ref": "andrepa/notebook-595e998296f5e19e06eb", "kernel_id": "29079"}, {"ref": "mathezsolt/notebook-e1c383c209f210cc242f", "kernel_id": "43478"}, {"ref": "jayjmj/notebook-e65d9a7e498cc88a08ec", "kernel_id": "24651"}, {"ref": "jayjmj/notebook-c8b34c762080d40059ee", "kernel_id": "25522"}, {"ref": "jayjmj/notebook-1f08c1dc5995154ffb18", "kernel_id": "29993"}, {"ref": "erikcanton/notebook-2c724df1f99f8f5bb147", "kernel_id": "27534"}, {"ref": "erikcanton/starter-xgboost-in-r", "kernel_id": "27568"}, {"ref": "lightspeedrich/whatscooking-python", "kernel_id": "64311"}, {"ref": "lightspeedrich/notebook-205c44ef6d68b4f48727", "kernel_id": "64288"}, {"ref": "nprithyani/starter-xgboost-in-r", "kernel_id": "29569"}, {"ref": "wtywty/notebook-956541afd908461970c1", "kernel_id": "25672"}, {"ref": "wtywty/notebook-3fde476e14519e5e0187", "kernel_id": "25673"}, {"ref": "wtywty/notebook-f4514cfd1d0306815994", "kernel_id": "25674"}, {"ref": "joanguitar/notebook-228d5da386e4c6f6dee5", "kernel_id": "30114"}, {"ref": "dsj529/cookingforest", "kernel_id": "27221"}, {"ref": "dsj529/notebook-f9e65eafc8f2add3064d", "kernel_id": "29335"}, {"ref": "dsj529/notebook-1fc7af90f55f16787559", "kernel_id": "29336"}, {"ref": "dsj529/recipetesting", "kernel_id": "29332"}, {"ref": "dsj529/cookingforest-alt", "kernel_id": "28384"}, {"ref": "dsj529/notebook-0872c3b0b2c064f34128", "kernel_id": "28014"}, {"ref": "khlifa21/notebook-96459666d810ca3f6ba2", "kernel_id": "28541"}, {"ref": "ced733/notebook-0360c899a6e12cc05abd", "kernel_id": "26414"}, {"ref": "orzabcde/notebook-f25095f1316363b32654", "kernel_id": "30210"}, {"ref": "orzabcde/notebook-6a19be0b38bc9347acd1", "kernel_id": "30212"}, {"ref": "orzabcde/notebook-a61a7c1fd70b3f208a2c", "kernel_id": "30213"}, {"ref": "gerisoft/notebook-9619f41309c89e8dabb5", "kernel_id": "26514"}, {"ref": "hazelnut/neuralnetwork", "kernel_id": "27242"}, {"ref": "bin1992/h2o-test", "kernel_id": "26847"}, {"ref": "kasiviswanath/notebook-9489319206941802d46b", "kernel_id": "26879"}, {"ref": "sudipta2015/some-python-cooking", "kernel_id": "26874"}, {"ref": "marjancugmas/notebook-3ba673e2dc6c275989fa", "kernel_id": "29280"}, {"ref": "marjancugmas/my-cooking", "kernel_id": "29278"}, {"ref": "adarshse/this-is-cooking", "kernel_id": "27937"}, {"ref": "agilator/whatscooking-python", "kernel_id": "27671"}, {"ref": "taegyunkim/notebook-03bcf7f35c4c7e1b53a1", "kernel_id": "27578"}, {"ref": "bugenesmith/notebook-38dce197e672b0d75442", "kernel_id": "28013"}, {"ref": "fchaubard/asdfasdfasdfa", "kernel_id": "28138"}, {"ref": "blackbox2/test2", "kernel_id": "28844"}, {"ref": "blackbox2/notebook-42fb5847712da10b477b", "kernel_id": "28845"}, {"ref": "selmamw/notebook-07f2c8944c726788768f", "kernel_id": "30404"}, {"ref": "selmamw/notebook-a307dc47cc8d00943d8f", "kernel_id": "30405"}, {"ref": "selmamw/notebook-2b045a67769f2c0f7dbc", "kernel_id": "30406"}, {"ref": "selmamw/cooking-amw", "kernel_id": "30407"}, {"ref": "tedx123457/test2", "kernel_id": "28863"}, {"ref": "podspods/notebook-bd5459ab44b59791f29b", "kernel_id": "29841"}, {"ref": "dm14301003/some-python-cooking", "kernel_id": "30266"}, {"ref": "danik1/notebook-8e2b9c7453e966328ffa", "kernel_id": "29116"}, {"ref": "danik1/notebook-85d98649791af61d94d0", "kernel_id": "29062"}, {"ref": "danik1/dataload", "kernel_id": "29063"}, {"ref": "danik1/notebook-7957672b4449f503341c", "kernel_id": "29083"}, {"ref": "danik1/notebook-9944da78cdc75ed2736d", "kernel_id": "29046"}, {"ref": "patachoup/whats-cooking-nb", "kernel_id": "29203"}, {"ref": "stanislav/notebook-7aebb21a8c22f2d7d10b", "kernel_id": "29896"}, {"ref": "stanislav/xgboost-by-sk-sda-team", "kernel_id": "30305"}, {"ref": "hanneskannes/notebook-f3b46a3534bf0b43da10", "kernel_id": "36056"}, {"ref": "avienda/notebook-732668e9432e036f4056", "kernel_id": "29867"}, {"ref": "kamalelsaaid/notebook-43712e0e1864cef53f74", "kernel_id": "30107"}, {"ref": "readmyname/testtestset", "kernel_id": "30217"}, {"ref": "kokoabc/avdafds", "kernel_id": "30175"}, {"ref": "mydm25/abcde", "kernel_id": "30173"}, {"ref": "cawanpink/whatscooking-python", "kernel_id": "30434"}, {"ref": "tsuna6996/notebook-627c7103a04f89898071", "kernel_id": "30168"}, {"ref": "meichangsu/notebook-bf626d18838110966e03", "kernel_id": "33136"}, {"ref": "ygjdev/notebook-93efd807d6eaf7fdd93c", "kernel_id": "37864"}, {"ref": "ygjdev/notebook-8b029c449299dc1650c0", "kernel_id": "37865"}, {"ref": "nkalaga/notebook-c9e1bb89563f4bd177e2", "kernel_id": "30878"}, {"ref": "radhachoudhury/starter-xgboost-in-r", "kernel_id": "34525"}, {"ref": "maikeuls/notebook-afa43de2c3361eb95472", "kernel_id": "35283"}, {"ref": "shangku212991/hhhhh", "kernel_id": "40255"}, {"ref": "etcareva/notebook-ae445129dae5765261aa", "kernel_id": "64262"}, {"ref": "kharvd/notebook-d744679e4984b595a166", "kernel_id": "75465"}, {"ref": "xiaoqiangwu/notebook-f8d5fa6947b3925746e7", "kernel_id": "47846"}, {"ref": "xiaoqiangwu/test1", "kernel_id": "47751"}, {"ref": "xiaoqiangwu/notebook-77e8d2baa23274b9e936", "kernel_id": "47752"}, {"ref": "xiaoqiangwu/notebook-b0b15ae952ca2ed2be86", "kernel_id": "47754"}, {"ref": "jihyeseo/cooking-eda", "kernel_id": "958145"}, {"ref": "xalissa/notebook-c2183487e675e3c1ab9f", "kernel_id": "56757"}, {"ref": "lucasarb/testing", "kernel_id": "105550"}, {"ref": "lucasarb/weighted-random-selection", "kernel_id": "110482"}, {"ref": "lucasarb/benchmark-prediction-always-italian", "kernel_id": "110476"}, {"ref": "lucasarb/weighted-randomness", "kernel_id": "110489"}, {"ref": "lucasarb/random", "kernel_id": "113097"}, {"ref": "hsjun99/notebook6e1919592e", "kernel_id": "109197"}, {"ref": "debdaspur/script4", "kernel_id": "170597"}, {"ref": "debdaspur/sdgrml", "kernel_id": "170601"}, {"ref": "debdaspur/notebook9e52ca9261", "kernel_id": "170173"}, {"ref": "debdaspur/script1", "kernel_id": "170171"}, {"ref": "debdaspur/rescript123", "kernel_id": "174221"}, {"ref": "debdaspur/bkmpmdzgm", "kernel_id": "175331"}, {"ref": "debdaspur/ghtijj", "kernel_id": "175666"}, {"ref": "jeffersonemanuel/notebook-d02b06dc692ff1d87891", "kernel_id": "81584"}, {"ref": "ravarora/notebook-b2816189ad788c97e9f0", "kernel_id": "77226"}, {"ref": "sadishradjefr/which-cuisine-is-it", "kernel_id": "75114"}, {"ref": "tuanndd/random-forest-tfidf", "kernel_id": "84462"}, {"ref": "tuanndd/notebook-6d0c622b7dd3f39241f4", "kernel_id": "84464"}, {"ref": "cnukaus/whatscooking-python-2", "kernel_id": "117622"}, {"ref": "cnukaus/whatscooking-python-23", "kernel_id": "119735"}, {"ref": "cnukaus/whatscooking-python-22", "kernel_id": "119731"}, {"ref": "cnukaus/whatscooking-python", "kernel_id": "116648"}, {"ref": "gouthi/cultural-diffusion-by-recipes", "kernel_id": "119538"}, {"ref": "gogobrother/notebookeaa234d6f5", "kernel_id": "114809"}, {"ref": "gogobrother/notebookcc8a9f4952", "kernel_id": "115601"}, {"ref": "sayak96/word2vec-with-ingredients", "kernel_id": "271336"}, {"ref": "ygdrasil/to-be-updated", "kernel_id": "100216"}, {"ref": "sunnytonymichael/notebook600ace6cb1", "kernel_id": "100562"}, {"ref": "kejessie94/cultural-diffusion-by-recipes-5917f41e", "kernel_id": "129669"}, {"ref": "kejessie94/notebookf9750c99c5", "kernel_id": "130467"}, {"ref": "kejessie94/cultural-diffusion-by-recipes", "kernel_id": "120811"}, {"ref": "ragsx123/notebookf8a32a84f2", "kernel_id": "119610"}, {"ref": "adithya9119/notebook27b32496bc", "kernel_id": "118944"}, {"ref": "ajayasree/notebook1f2db7125d", "kernel_id": "223935"}, {"ref": "payel96/bow-creation", "kernel_id": "335685"}, {"ref": "nicklyz/rakedat", "kernel_id": "116137"}, {"ref": "knighthawk989/notebook2eb1e9d439", "kernel_id": "203681"}, {"ref": "mocanory/notebookd4bf51f17a", "kernel_id": "116417"}, {"ref": "ccorbi/word2vec-with-ingredients", "kernel_id": "219886"}, {"ref": "jasminkaur/notebookdfda5c488b", "kernel_id": "130683"}, {"ref": "tsleeve/notebookfbe9ee9280", "kernel_id": "118101"}, {"ref": "b2nice/what-s-cooking-my-first-random-forest", "kernel_id": "151829"}, {"ref": "jassss/kljhkjgkjkjhk", "kernel_id": "131551"}, {"ref": "jassss/cooking-n-09a1a2f8", "kernel_id": "131639"}, {"ref": "jassss/notebook5a20ad0daf", "kernel_id": "131398"}, {"ref": "jassss/notebookfa77aada8f", "kernel_id": "131399"}, {"ref": "jassss/notebookf80e442e5f", "kernel_id": "131400"}, {"ref": "jassss/whatscooking-python", "kernel_id": "131383"}, {"ref": "jassss/cooking-n", "kernel_id": "131387"}, {"ref": "jassss/cultural-diffusion-by-recipes", "kernel_id": "131388"}, {"ref": "jassss/neural-network-test", "kernel_id": "131375"}, {"ref": "jassss/notebook12174afd50", "kernel_id": "131741"}, {"ref": "jassss/trying", "kernel_id": "133096"}, {"ref": "jassss/kaggle", "kernel_id": "133146"}, {"ref": "jassss/naive-bayes-with-bernoulli-distribution", "kernel_id": "136507"}, {"ref": "jassss/uiiii", "kernel_id": "137139"}, {"ref": "jassss/jjhjh-jh", "kernel_id": "137093"}, {"ref": "jassss/randommmmm", "kernel_id": "137167"}, {"ref": "jassss/decision", "kernel_id": "137177"}, {"ref": "jassss/addddaa", "kernel_id": "137180"}, {"ref": "mindaugasn/predict-cousine", "kernel_id": "560278"}, {"ref": "mandeep94/finding-cuisine", "kernel_id": "219265"}, {"ref": "arunava21/word2vec-with-ingredients", "kernel_id": "271380"}, {"ref": "maximuz/notebook3286de68ac", "kernel_id": "176062"}, {"ref": "matan1965/what-s-cooking-notebook-try", "kernel_id": "199266"}, {"ref": "matan1965/what-s-cooking-try", "kernel_id": "199176"}, {"ref": "eyawes/notebook1f77ac6870", "kernel_id": "246801"}, {"ref": "eyawes/test57", "kernel_id": "219101"}, {"ref": "eazhary/cultural-diffusion-by-recipes", "kernel_id": "242138"}, {"ref": "ggnolw/whatscooking-python", "kernel_id": "258909"}, {"ref": "peterai/notebook2e742976ca", "kernel_id": "264915"}, {"ref": "lukasvotypka/what-s-cooking-my-first-random-forest", "kernel_id": "264831"}, {"ref": "gullesnuffs/notebookb529364aa3", "kernel_id": "277789"}, {"ref": "hsinwei/top-5-ingredients-as-pie-chart", "kernel_id": "327006"}, {"ref": "kishan94/whats-cooking", "kernel_id": "495777"}, {"ref": "limitpointinf0/analysis-of-cuisine-and-classification-modeling", "kernel_id": "980607"}, {"ref": "blackteckno/what-s-cooking-let-us-cook-those-data", "kernel_id": "969774"}, {"ref": "ameeamin/naive-bayes-svc-and-ensemble", "kernel_id": "1366308"}, {"ref": "rajaguru/baseline-model-and-analysis", "kernel_id": "1648249"}, {"ref": "stefanigong/deep-cooking", "kernel_id": "1115840"}, {"ref": "ranjan1701/what-scooking-using-tf-idf-linearsvc", "kernel_id": "1350071"}, {"ref": "jnsmorinigo/linearsvc", "kernel_id": "1454062"}, {"ref": "zhoulingyan0228/cuisine-type-classification", "kernel_id": "1266167"}, {"ref": "sakura0415/kernel7906e7a930", "kernel_id": "1775753"}, {"ref": "dimanpro/my-svm-test", "kernel_id": "1885970"}, {"ref": "prithiviraj/cooking-dl-notebook", "kernel_id": "2512341"}, {"ref": "icepick001/eda-and-prediction-what-s-cooking", "kernel_id": "2001950"}, {"ref": "karlerik/asiasi", "kernel_id": "2330217"}, {"ref": "rajmehra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "2555556"}, {"ref": "janithwanni/what-s-cooking-exploration", "kernel_id": "3812995"}, {"ref": "aakashgoel12/cooking-kaggle-v1", "kernel_id": "3264023"}, {"ref": "wowachicka/what-s-cooking", "kernel_id": "3451406"}, {"ref": "limkaraik/predicting-cuisine", "kernel_id": "3553523"}, {"ref": "shadylpstan/kernel1ceb500d89", "kernel_id": "4242357"}, {"ref": "samcoh223/random-forest-classifier", "kernel_id": "6766135"}, {"ref": "vicgwe/exploratory-data-analysis-what-s-cooking", "kernel_id": "6093031"}, {"ref": "hgimonet/cs5785-a2-p1p2", "kernel_id": "6050549"}, {"ref": "gaurav98/what-s-cooking", "kernel_id": "8842810"}, {"ref": "panditdandgule/a-detailed-explanation-of-keras-embedding", "kernel_id": "8294164"}, {"ref": "sidagar/what-s-cooking", "kernel_id": "8845857"}, {"ref": "dhruvgupta2801/logistic-regression", "kernel_id": "9648511"}, {"ref": "wowachicka/what-s-cooking-lightgbm", "kernel_id": "9142834"}, {"ref": "wowachicka/what-s-cooking-lightgbma", "kernel_id": "9681079"}, {"ref": "denyskaliuzhnyi/what-scooking-multiclass-text-data-classification", "kernel_id": "9099306"}, {"ref": "chandra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "9467551"}, {"ref": "teramera/kernel3c404ec4df", "kernel_id": "10718177"}, {"ref": "julianbenny/whatscooking-logistic-regression", "kernel_id": "10703448"}, {"ref": "dianaguevara/cooking2018", "kernel_id": "10595876"}, {"ref": "kiatweitan/whats-cooking", "kernel_id": "11809355"}, {"ref": "cristianfat/what-do-we-have-for-dinner", "kernel_id": "12144887"}, {"ref": "anmoltripathi/what-s-cooking-top-7-solution", "kernel_id": "12523503"}, {"ref": "ayusheeagarwal/what-s-cooking", "kernel_id": "12485223"}, {"ref": "shlezinger/cuisine-prediction", "kernel_id": "12184486"}, {"ref": "roohisharma/what-s-cooking-logistic-regression", "kernel_id": "13366362"}, {"ref": "semenedel/notebookffee6c6549", "kernel_id": "13312303"}, {"ref": "arko007/logistic-regression-food-cuisine", "kernel_id": "14729321"}, {"ref": "subhamsagarpaira/beginners-logistic-regression-what-s-cooking", "kernel_id": "14137093"}, {"ref": "sanskrutighadipatil/what-s-cooking-logistic-regression", "kernel_id": "14124039"}, {"ref": "nishita17/whats-cooking", "kernel_id": "14822628"}, {"ref": "dhawalsoni/whatscooking", "kernel_id": "14487226"}, {"ref": "asmaaeltaher/what-s-cooking-ml-workshop-data-understanding", "kernel_id": "15215469"}, {"ref": "asmaaeltaher/what-s-cooking-ml-workshop-data-preparation", "kernel_id": "15714172"}, {"ref": "asmaaeltaher/what-s-cooking-ml-workshop-modeling", "kernel_id": "15714247"}, {"ref": "xevator/notebook6aa40e94bb", "kernel_id": "15401237"}, {"ref": "rohitjagirdar/what-s-cooking", "kernel_id": "15550733"}, {"ref": "varunsimhareddy/what-s-cooking-food-cuisine-varun", "kernel_id": "15993080"}, {"ref": "girijeshcse/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "16845475"}, {"ref": "sachingupta2212/notebook52dfd2447b", "kernel_id": "16654309"}, {"ref": "sachingupta2212/notebook21fd396f96", "kernel_id": "16201329"}, {"ref": "chromerai/what-s-cooking-logistic-regression", "kernel_id": "17446979"}, {"ref": "ssongji/what-s-cooking", "kernel_id": "17128804"}, {"ref": "aryaadesh/what-scookinglogreg", "kernel_id": "17140498"}, {"ref": "anu332/what-s-cooking-predictions-anuag", "kernel_id": "17288869"}, {"ref": "mgen2020/cooking", "kernel_id": "17420437"}, {"ref": "diyadodwad/notebook27beb7fc2c", "kernel_id": "17108366"}, {"ref": "annakozintseva/ml-rgr", "kernel_id": "17352631"}, {"ref": "sajjadwasti/notebook6d6a1520af", "kernel_id": "17500134"}, {"ref": "denimthangjam/what-s-cooking", "kernel_id": "17344065"}, {"ref": "sakshi0100/what-s-cooking", "kernel_id": "18117806"}, {"ref": "irfanac/notebookb9a4918e40", "kernel_id": "18860613"}, {"ref": "pranjal6192/notebookd7f8b58306", "kernel_id": "18424075"}, {"ref": "rajeshwaris/what-s-cooking", "kernel_id": "18183940"}, {"ref": "shayistamulla/notebook0069fc782d", "kernel_id": "18665686"}, {"ref": "prathikshabr/foodcuisinelogisticregression-kaggleproject-4", "kernel_id": "18735497"}, {"ref": "moritti373737/notebook7d0c5e6e48", "kernel_id": "18287460"}, {"ref": "keerthanamreddy/what-s-cooking-week-3", "kernel_id": "18580477"}, {"ref": "tejasboss/whats-cooking", "kernel_id": "19091029"}, {"ref": "nikhiln2312/what-s-cooking", "kernel_id": "20399946"}, {"ref": "svnsdhananjayreddy/what-s-cooking", "kernel_id": "22408471"}, {"ref": "maxburluka/logistic-regression-wordnetlemmatizer-grids", "kernel_id": "23633903"}, {"ref": "mdmaazkhan/what-scookingce", "kernel_id": "25412666"}, {"ref": "rahulgujjar/whats-cooking-prediction-using-logistic", "kernel_id": "26482833"}, {"ref": "rahulgujjar/logistic-regression", "kernel_id": "26486094"}, {"ref": "singh19dhananjay/what-s-cooking", "kernel_id": "27974100"}, {"ref": "yagli18/what-s-cooking-classification", "kernel_id": "29788275"}, {"ref": "amirkonjkav/explanation-of-embedding-layer", "kernel_id": "32834351"}, {"ref": "antonmokryak/what-s-cooking", "kernel_id": "34458794"}, {"ref": "div1996p/what-s-cooking", "kernel_id": "43055896"}, {"ref": "chiragrathi/fp-n1", "kernel_id": "47369876"}, {"ref": "hikmetdevlet/19-what-s-cooking", "kernel_id": "60996781"}, {"ref": "yama777/notebookd89d9e9fa6", "kernel_id": "61581877"}, {"ref": "bandotarou/notebook55f85b6e77", "kernel_id": "61583065"}, {"ref": "tibigame/notebook69a3a1c296", "kernel_id": "61114158"}, {"ref": "xlitol/what-s-cooking", "kernel_id": "61581696"}, {"ref": "hkarin/notebookc05f70550d", "kernel_id": "61583091"}, {"ref": "fjasuka/notebook72f0ff1375", "kernel_id": "61582954"}, {"ref": "kds25555/notebookae7789785f", "kernel_id": "61114338"}, {"ref": "momokamaruyama/notebook4407d6b243", "kernel_id": "61750100"}, {"ref": "xlitol/notebook72f0ff1375-706dce", "kernel_id": "62776284"}, {"ref": "xlitol/what-s-cooking-final", "kernel_id": "62803593"}, {"ref": "nonochan8/notebookf2a8dabe22", "kernel_id": "62710853"}, {"ref": "taishiamano/notebookae7789785f", "kernel_id": "62690919"}, {"ref": "taishiamano/notebook12b43652b4", "kernel_id": "62803011"}, {"ref": "koga0719/notebook-koga", "kernel_id": "62796993"}, {"ref": "zzzzccccc/notebookdda0a038d6", "kernel_id": "62693307"}, {"ref": "yamanouchisho/notebook-240726-final", "kernel_id": "62804552"}, {"ref": "masmas88/notebook612437001", "kernel_id": "62433320"}, {"ref": "mikerst/whatscooking", "kernel_id": "65220226"}, {"ref": "catherinehelenna/ai6102-project", "kernel_id": "65467129"}, {"ref": "alexandrskvorzov/cooking", "kernel_id": "70105982"}, {"ref": "alexandrskvorzov/urfu-kitchen-detection", "kernel_id": "73072327"}, {"ref": "kratipandya/what-s-cooking", "kernel_id": "79218820"}, {"ref": "kuixxx/cuisine-predictor-eda-nlp-ml", "kernel_id": "80962716"}, {"ref": "icomert/cuisine-predictor-eda-nlp-ml", "kernel_id": "80446160"}, {"ref": "zainabali33/project-dl-hanan-zainab-part-1", "kernel_id": "101980156"}, {"ref": "tzmplays/notebook6f0f0705ea", "kernel_id": "102957247"}, {"ref": "ayyankarar/k242563-k242500-k242582", "kernel_id": "102926466"}, {"ref": "muhammadshaheereijaz/24k-2567-24k-2514-24k-2507", "kernel_id": "102987142"}, {"ref": "hananmohammad/porject-2025-hanan-zaineb", "kernel_id": "103053397"}, {"ref": "sameerdanishlohana/sameer-hadeer-arham-question-4-task-3", "kernel_id": "103644122"}, {"ref": "memonaziz786/aziz-shuzain-q4-part-3", "kernel_id": "103665789"}]}
{"competition_id": "4554", "kernels": []}
{"competition_id": "4567", "kernels": []}
{"competition_id": "4568", "kernels": []}
{"competition_id": "4571", "kernels": [{"ref": "adrian1acoran/1-learn-pi-3-1415926535897932-b144dd", "kernel_id": "1993701"}, {"ref": "ksmooi/mcq-answering-using-bert", "kernel_id": "71382212"}]}
{"competition_id": "4588", "kernels": [{"ref": "acauveri/network-severity-prediction-automatic-model", "kernel_id": "2717545"}, {"ref": "acauveri/network-fault-prediction", "kernel_id": "2697897"}, {"ref": "acauveri/prediction-model-selection", "kernel_id": "2708187"}, {"ref": "amkarou/kernele6f2e330ad", "kernel_id": "2591122"}, {"ref": "himanshupachori/prediction-model-selection-696e9b", "kernel_id": "3604461"}, {"ref": "akseersafdar/telstra-nw-disruptions-using-catboost", "kernel_id": "5825768"}, {"ref": "dawool1218/telstra-network-210517-ml-p", "kernel_id": "17037590"}, {"ref": "renatz/using-lightgbm-catboost-tuned-by-bo-gridcv", "kernel_id": "18906971"}, {"ref": "eisusquiza/notebook8e3cd858e2", "kernel_id": "20197905"}, {"ref": "divyanshtrivedi/telstra-network-disruptions", "kernel_id": "20158673"}, {"ref": "ferpaz/telstra-network-disruptions-spanish", "kernel_id": "21047901"}, {"ref": "adyasamarth/telstra-network-disruptions", "kernel_id": "56485043"}, {"ref": "ksmooi/fault-severity-prediction-cls-gridsearch", "kernel_id": "71216335"}, {"ref": "mishrarajnish22/telstra-network-disruptions", "kernel_id": "79358418"}, {"ref": "blazingphoenix12345/telstra-network-fault-detection", "kernel_id": "81719460"}, {"ref": "blazingphoenix12345/fault-severity-prediction", "kernel_id": "81715901"}, {"ref": "zeus4755/notebook2a426d1477", "kernel_id": "102698407"}, {"ref": "kazuhiroyogo/telstra-kazuhiro-yogo-first", "kernel_id": "128208057"}]}
{"competition_id": "4594", "kernels": [{"ref": "antgoldbloom/notebook-8c714efa4137cac64427", "kernel_id": "20855"}, {"ref": "antgoldbloom/notebook-cf18fc4e764205ddccfb", "kernel_id": "24640"}, {"ref": "antgoldbloom/needs-a-title-to-run", "kernel_id": "24641"}, {"ref": "alexxanderlarko/sample0111", "kernel_id": "22845"}, {"ref": "alexxanderlarko/sample2910", "kernel_id": "22521"}, {"ref": "alexxanderlarko/sample-store", "kernel_id": "22244"}, {"ref": "alexxanderlarko/xgb-rossmann-al2010", "kernel_id": "20998"}, {"ref": "alexxanderlarko/xgb-rossmann-al2110", "kernel_id": "21223"}, {"ref": "alexxanderlarko/sample", "kernel_id": "21449"}, {"ref": "alexxanderlarko/xgb-rossmann-al2210", "kernel_id": "21447"}, {"ref": "alexxanderlarko/xgb-rossmann-al1910", "kernel_id": "20759"}, {"ref": "alexxanderlarko/data-39", "kernel_id": "24500"}, {"ref": "maverick/notebook-4e74083654cbe750fb17", "kernel_id": "20458"}, {"ref": "benhamner/list-input-files", "kernel_id": "18547"}, {"ref": "benhamner/notebook-fb7c32fac382e5dbebcf", "kernel_id": "22350"}, {"ref": "benhamner/notebook-f030d0db0baa68968f33", "kernel_id": "22351"}, {"ref": "benhamner/demo-asdfdfsfd", "kernel_id": "26977"}, {"ref": "benhamner/notebook-1950014189514e81c236", "kernel_id": "24486"}, {"ref": "benhamner/debugging", "kernel_id": "24487"}, {"ref": "benhamner/notebook-3d0aa9b28544ab628792", "kernel_id": "25481"}, {"ref": "benhamner/notebook-c197a3c6e2399be06998", "kernel_id": "25482"}, {"ref": "benhamner/notebook-b89ba5facc791c14750d", "kernel_id": "25483"}, {"ref": "benhamner/notebook-69375264cd8e0d641cf8", "kernel_id": "25484"}, {"ref": "benhamner/notebook-74e9bf96f56dc218faeb", "kernel_id": "25485"}, {"ref": "benhamner/notebook-ef44fc850cbb2fd183c6", "kernel_id": "25486"}, {"ref": "benhamner/notebook-8a1c18dd3d27e11fcd64", "kernel_id": "25487"}, {"ref": "benhamner/notebook-9dc6bd91ed48fe3b2dfe", "kernel_id": "25489"}, {"ref": "benhamner/demo-asdfasdfasdf", "kernel_id": "25095"}, {"ref": "benhamner/demo-adsfasdfdasfsa", "kernel_id": "25099"}, {"ref": "benhamner/pandas-version", "kernel_id": "24637"}, {"ref": "benhamner/rossman-demo", "kernel_id": "28671"}, {"ref": "benhamner/dmo-asdfasdfasdfadsf", "kernel_id": "28708"}, {"ref": "benhamner/notebook-7881b752c91b1be3c40b", "kernel_id": "28709"}, {"ref": "benhamner/demo-asdfasdfasdfa", "kernel_id": "28729"}, {"ref": "mjahrer/xgb-rossmann", "kernel_id": "22283"}, {"ref": "konradb/xgboost-2", "kernel_id": "29072"}, {"ref": "aschniertshauer/exploratory-analysis-rossmann", "kernel_id": "22689"}, {"ref": "bazinga/randomforestpython", "kernel_id": "19506"}, {"ref": "mingyi/exploratory-and-randomforest", "kernel_id": "26510"}, {"ref": "mingyi/a-journey-through-rossmann-stores", "kernel_id": "25448"}, {"ref": "piotrwasiewicz/exploratory-analysis-rossmann", "kernel_id": "67589"}, {"ref": "chipmonkey/obligatory-xgboost-example", "kernel_id": "18590"}, {"ref": "mathieujones/h2o-random-forest-example-0-11578", "kernel_id": "21849"}, {"ref": "kproductivity/feature-selection-in-h2o-rf", "kernel_id": "27307"}, {"ref": "kproductivity/feature-selection-in-random-forest-caret", "kernel_id": "27119"}, {"ref": "kproductivity/notebook-2c4b1a057bd97b757b86", "kernel_id": "23692"}, {"ref": "kproductivity/random-forest-example", "kernel_id": "24006"}, {"ref": "kproductivity/lasso", "kernel_id": "28093"}, {"ref": "guyko81/notebook66053ee076", "kernel_id": "261168"}, {"ref": "heyitsryan678/exploring-data", "kernel_id": "19429"}, {"ref": "khanenko/notebook-0610035e34afd302a9f4", "kernel_id": "22733"}, {"ref": "timevans/h2o-random-forest-example-0-11578", "kernel_id": "26809"}, {"ref": "harlananelson/testing-kernel", "kernel_id": "19135"}, {"ref": "kautilya/notebook-bf384299ca7d66148cc3", "kernel_id": "20644"}, {"ref": "invinciblejha/a-journey-through-rossmann-stores", "kernel_id": "28262"}, {"ref": "invinciblejha/rosamann-stores", "kernel_id": "28263"}, {"ref": "invinciblejha/notebook-d0f4add698eef1821382", "kernel_id": "28264"}, {"ref": "oliverthemodeler/notebook-a7b1ba78dee9e80519b6", "kernel_id": "19921"}, {"ref": "xccds1977/notebook-d780c5f2d68fa4babd58", "kernel_id": "28426"}, {"ref": "elsonidoq/notebook-9edf92efb8d532ec7ba3", "kernel_id": "22611"}, {"ref": "willieliao/xgb-rossmann", "kernel_id": "29189"}, {"ref": "msdess/notebook-34a2081ff7e614fb5a75", "kernel_id": "24003"}, {"ref": "msdess/notebook-9d21f46a6e373b4ae61c", "kernel_id": "24004"}, {"ref": "lauritssn/rossmann", "kernel_id": "37292"}, {"ref": "vihang/notebook-926faa2f276c32fc446e", "kernel_id": "23331"}, {"ref": "jayendran/notebook-73f462e95fefe6bc32ba", "kernel_id": "23330"}, {"ref": "udayan/notebook-152ceba4cdeea7bc8648", "kernel_id": "20532"}, {"ref": "wacaxx/julia-xgboost-starter-code", "kernel_id": "18778"}, {"ref": "vanessaluong/notebook-f947dd459a7fd4f72a3d", "kernel_id": "29224"}, {"ref": "sampwing/abcdef", "kernel_id": "25450"}, {"ref": "jeeban/xgb-w-rmspe-eval", "kernel_id": "21013"}, {"ref": "zygmunt/predict-sales-with-pandas-py", "kernel_id": "18742"}, {"ref": "zygmunt/xgb-rossmann", "kernel_id": "18975"}, {"ref": "spirosparaskevas/notebook-4ee4de9a734d54e91bef", "kernel_id": "23549"}, {"ref": "datacanary/notebook-79a6dad0b8fa8558c592", "kernel_id": "22861"}, {"ref": "datacanary/python-default-script", "kernel_id": "22864"}, {"ref": "datacanary/notebook-fa5e15114cf8d7a12a5e", "kernel_id": "22865"}, {"ref": "datacanary/notebook-0087f3cb0a49e23750aa", "kernel_id": "21384"}, {"ref": "datacanary/notebook-5b066a857e2c25e8f4dd", "kernel_id": "21328"}, {"ref": "datacanary/test1-3", "kernel_id": "25128"}, {"ref": "datacanary/test2-1", "kernel_id": "25129"}, {"ref": "datacanary/test3-1", "kernel_id": "25133"}, {"ref": "datacanary/xgboost-feature-importance-2", "kernel_id": "27832"}, {"ref": "datacanary/xgboost-feature-importance3", "kernel_id": "27833"}, {"ref": "qwang88/test1-1", "kernel_id": "28315"}, {"ref": "isawjet/notebook-cdade693c7f5589d63b4", "kernel_id": "27565"}, {"ref": "isawjet/rossmann1", "kernel_id": "27602"}, {"ref": "idokenan/notebook-7c065ca4b45bcad7d00d", "kernel_id": "21742"}, {"ref": "flippke/rossmannmain", "kernel_id": "19521"}, {"ref": "tjungblut/xgb-rossmann", "kernel_id": "21582"}, {"ref": "mashhoori/predict-sales-with-pandas-py", "kernel_id": "23565"}, {"ref": "satomacoto/notebook-b342617be418681d6ddf", "kernel_id": "26071"}, {"ref": "bascom/rossmann-spectral-analysis", "kernel_id": "25460"}, {"ref": "gracexiao/xgboost-in-python-with-rmspe", "kernel_id": "23056"}, {"ref": "ryo3ryosuu/notebook-b251a0131396f9b61f1f", "kernel_id": "22811"}, {"ref": "ryo3ryosuu/test01", "kernel_id": "22812"}, {"ref": "jonathanmasci/notebook-d479f0f10a5b084b5d93", "kernel_id": "20905"}, {"ref": "jonathanmasci/notebook-4ec3a4fc5a967bd506cc", "kernel_id": "20906"}, {"ref": "raghvendra1983/combining-data", "kernel_id": "20046"}, {"ref": "letranduckinh/xgboost-in-python", "kernel_id": "21961"}, {"ref": "jessky/xgboost-in-python", "kernel_id": "27840"}, {"ref": "hassiktir/altered-r", "kernel_id": "21633"}, {"ref": "hamelhusain/notebook-f2b2af7bb15f2dd3155a", "kernel_id": "21246"}, {"ref": "hvsarma/basic-visualization", "kernel_id": "22003"}, {"ref": "thakurrajanand/xgb-rossmann", "kernel_id": "19635"}, {"ref": "velvetbaldmime/rossman-bla", "kernel_id": "23103"}, {"ref": "binghsu/notebook-9f9550bfa76024f6076f", "kernel_id": "20746"}, {"ref": "sarawagi/notebook8bf75a0be1", "kernel_id": "219816"}, {"ref": "nsecord/filling-gaps-in-the-training-set", "kernel_id": "21040"}, {"ref": "danyue/notebook-b925d1aac8b5f3db46ff", "kernel_id": "24515"}, {"ref": "jasonkuruzovich/a-journey-through-rossmann-stores", "kernel_id": "90789"}, {"ref": "mlandry/notebook-cf6757bd9f3fa722cc00", "kernel_id": "20435"}, {"ref": "mlandry/random-forest-example", "kernel_id": "18627"}, {"ref": "francoislelay/notebook-605bef14fb2b16ec0290", "kernel_id": "27034"}, {"ref": "francoislelay/notebook-2b4c849a1b4db79d67ad", "kernel_id": "27019"}, {"ref": "francoislelay/notebook-a457900d4f3310f96327", "kernel_id": "27017"}, {"ref": "francoislelay/notebook-3ac795211d9b47ad1d11", "kernel_id": "27004"}, {"ref": "damianmingle/xgb-rossmann", "kernel_id": "23699"}, {"ref": "alkrot/first", "kernel_id": "20255"}, {"ref": "kumareshd/xgboost-feature-importance", "kernel_id": "21281"}, {"ref": "kumareshd/random-forest-example", "kernel_id": "18658"}, {"ref": "kumareshd/exploring-data", "kernel_id": "18686"}, {"ref": "kumareshd/own-xgboost", "kernel_id": "18973"}, {"ref": "kumareshd/h2o-random-forest-example", "kernel_id": "19087"}, {"ref": "kumareshd/randomforestpython", "kernel_id": "18835"}, {"ref": "kumareshd/xgb-w-rmspe-eval", "kernel_id": "18836"}, {"ref": "kumareshd/xgb-rossmann-12", "kernel_id": "19426"}, {"ref": "grepper/notebook8a763fd8e2", "kernel_id": "112321"}, {"ref": "bugraa/notebook-42b9da8caa912898445a", "kernel_id": "22745"}, {"ref": "shadimoodad/basic-visualization", "kernel_id": "21959"}, {"ref": "shadimoodad/notebook-dc65a99452859b5aa02a", "kernel_id": "21960"}, {"ref": "arjunpjhalda/exploratory-and-randomforest", "kernel_id": "22491"}, {"ref": "mm2012mm/a-journey-through-rossmann-stores", "kernel_id": "26075"}, {"ref": "avidalvi/notebook-02dd620cc639d1e6a29b", "kernel_id": "20680"}, {"ref": "ndemir/notebook-2fe85650ae0ca7fae822", "kernel_id": "24743"}, {"ref": "aliahmad/random-forest-example", "kernel_id": "21914"}, {"ref": "gustavodemari/rossman-store", "kernel_id": "24542"}, {"ref": "gustavodemari/notebook-707525e22a6a4a15dcb2", "kernel_id": "27967"}, {"ref": "sumitc/notebook-c606a6a65a2a532e5f6c", "kernel_id": "27100"}, {"ref": "jgamma/notebook-97a212c894247f1f14fc", "kernel_id": "24644"}, {"ref": "becky1166/predict-sales-with-pandas-py", "kernel_id": "22744"}, {"ref": "jameelanalyst/a-journey-through-rossmann-stores", "kernel_id": "99581"}, {"ref": "ibobriakov/xgboost-in-python-with-rmspe", "kernel_id": "19936"}, {"ref": "cbourne/random-forest-example-0-12579", "kernel_id": "28512"}, {"ref": "svpons/notebook-f5a9575fdb322c3471f0", "kernel_id": "21033"}, {"ref": "krczeu/notebook-8bba11281dbfaae588e6", "kernel_id": "29425"}, {"ref": "krczeu/notebook-684b6be39ddf17de507d", "kernel_id": "29427"}, {"ref": "anbarasan/initial-analysis", "kernel_id": "24836"}, {"ref": "anbarasan/exploratory-analysis-rossmann", "kernel_id": "24837"}, {"ref": "lolpig/xgboost-extra-features", "kernel_id": "28360"}, {"ref": "aparij/basic-visualization", "kernel_id": "22485"}, {"ref": "qbert64/exploratory-analysis-rossmann", "kernel_id": "22756"}, {"ref": "qbert64/xgboost-parameter-tuning-template", "kernel_id": "22761"}, {"ref": "lolatu2/testing", "kernel_id": "29175"}, {"ref": "springcoil/time-series-linear-models-tslm", "kernel_id": "22703"}, {"ref": "pralaya/notebook-f80df4fe505a5538da73", "kernel_id": "21730"}, {"ref": "chandrad/xgboost-r", "kernel_id": "29170"}, {"ref": "mandalsubhajit/notebook-52795cf43667b9fa7435", "kernel_id": "20999"}, {"ref": "davewadden/exploratory-analysis-rossmann", "kernel_id": "21408"}, {"ref": "prokofyev/h2odt", "kernel_id": "19212"}, {"ref": "prokofyev/by-stores1", "kernel_id": "19360"}, {"ref": "alanhe/test-notebook", "kernel_id": "23218"}, {"ref": "kuberiitb/notebook-90270c69c222ab0973a4", "kernel_id": "21577"}, {"ref": "wistuba/notebook-11b71c0f8937b5addbac", "kernel_id": "22208"}, {"ref": "aargunov/notebook-4244c1c491c3472a2cac", "kernel_id": "24747"}, {"ref": "mpearmain/xgb-rossmann", "kernel_id": "18943"}, {"ref": "mpearmain/xgboost-w-custom-error-function", "kernel_id": "18702"}, {"ref": "sramaj/notebook-546a7fa728778ac4f061", "kernel_id": "27818"}, {"ref": "sramaj/rossmann-stores-clustering-and-forecast", "kernel_id": "151645"}, {"ref": "cast42/xgboost-via-sklearn", "kernel_id": "21970"}, {"ref": "cast42/randomforest", "kernel_id": "18972"}, {"ref": "cast42/xgboost-in-python-with-rmspe", "kernel_id": "18889"}, {"ref": "cast42/xgboost-in-python-with-rmspe-v2", "kernel_id": "20724"}, {"ref": "cast42/xgboost-extra-features", "kernel_id": "23982"}, {"ref": "cast42/notebook-b5f36fe2bc88bdc2606a", "kernel_id": "24409"}, {"ref": "cast42/notebook-a1c9693be38834677343", "kernel_id": "24410"}, {"ref": "cast42/notebook-fee45545f6f05337645f", "kernel_id": "24411"}, {"ref": "cast42/notebook-675af5b6acfce74e5146", "kernel_id": "24416"}, {"ref": "cast42/notebook-f886d182a5c38930f5a1", "kernel_id": "24417"}, {"ref": "cast42/notebook-62fd80ad54f40d648fd6", "kernel_id": "24419"}, {"ref": "cast42/test1", "kernel_id": "24421"}, {"ref": "cast42/debugging", "kernel_id": "24422"}, {"ref": "cast42/notebook-c96fb66917b9a63cf888", "kernel_id": "24521"}, {"ref": "cast42/notebook-57ec955d2fb73091eea8", "kernel_id": "24523"}, {"ref": "ashver/notebook-b49366dcb8a40b6d50bb", "kernel_id": "22360"}, {"ref": "krallistic/notebook-d0376a5ec14387a367f8", "kernel_id": "20355"}, {"ref": "satyaprakash1986/r-randomforest", "kernel_id": "19180"}, {"ref": "satyaprakash1986/rf-in-r", "kernel_id": "19056"}, {"ref": "nkhuyu/rf1-nkhuyu-seed-100", "kernel_id": "22717"}, {"ref": "nkhuyu/h2o-random-forest-example-0-11578", "kernel_id": "22719"}, {"ref": "nkhuyu/xgb-rossmann-nkhuyu-new-10-31", "kernel_id": "22762"}, {"ref": "nkhuyu/h2o-random-forest-example-0-11578-10-31", "kernel_id": "22749"}, {"ref": "nkhuyu/notebook-bf3e2e45d4d0ee4b8983", "kernel_id": "23244"}, {"ref": "nkhuyu/exploratory-and-randomforest", "kernel_id": "23167"}, {"ref": "nkhuyu/notebook-f4d655d81e2d54c408f3", "kernel_id": "23182"}, {"ref": "nkhuyu/xgboost-feature-importance-11-06", "kernel_id": "23381"}, {"ref": "nkhuyu/xgb-11-07", "kernel_id": "23464"}, {"ref": "nkhuyu/xgb-rossmann-11-07", "kernel_id": "23488"}, {"ref": "nkhuyu/xgb-rossmann-11-08", "kernel_id": "23568"}, {"ref": "nkhuyu/xgb-rossmann-nkhuyu", "kernel_id": "22626"}, {"ref": "nkhuyu/xgboost-in-python1", "kernel_id": "22606"}, {"ref": "nkhuyu/xgboost-in-python-nkhuyu", "kernel_id": "22628"}, {"ref": "nkhuyu/notebook-94a3ec4ab638e25c30cc", "kernel_id": "78711"}, {"ref": "maxrzepka/notebook-1ce50d5ddfc8eb75213e", "kernel_id": "20441"}, {"ref": "threedb/xgb-rossmann-3250", "kernel_id": "20951"}, {"ref": "jasontam/can-gbrt-do-simple-forecasting", "kernel_id": "20316"}, {"ref": "shivamagrawal/notebook-287362cf3e44cc240103", "kernel_id": "27417"}, {"ref": "shivamagrawal/notebook-b5a63026cb08fdab9778", "kernel_id": "27418"}, {"ref": "santiagomota/a-journey-through-rossmann-stores", "kernel_id": "28035"}, {"ref": "dynamic22/rossman-store-sales-basic", "kernel_id": "210734"}, {"ref": "golhar/notebook6b7a3317a0", "kernel_id": "167006"}, {"ref": "yashrajlamsal/notebook-19ac7f32aec1e02f08b0", "kernel_id": "23833"}, {"ref": "yashrajlamsal/notebook-87e95327aa38b0ae106a", "kernel_id": "23836"}, {"ref": "mtutek/notebook-2b6fad637487a9dd8d6b", "kernel_id": "22442"}, {"ref": "pythron/notebook-93bb962e3dfe233894d0", "kernel_id": "24849"}, {"ref": "pythron/notebook-c3cde203caa8b2add3c2", "kernel_id": "24850"}, {"ref": "dcoddy/notebook-9a0d7b25f0996f52529f", "kernel_id": "22814"}, {"ref": "jsmalletz/xgboost-experiments-rossmann", "kernel_id": "18955"}, {"ref": "ustcwupan/notebook-d3c4b2605daaccd81035", "kernel_id": "28738"}, {"ref": "ustcwupan/a-journey-through-rossmann-stores", "kernel_id": "28739"}, {"ref": "surfnerd/notebook-56812e2ab0bd77c85cea", "kernel_id": "22928"}, {"ref": "shuklaks/notebook-67643bc30651e941e538", "kernel_id": "21865"}, {"ref": "peter78789/notebook17a06c7b52", "kernel_id": "103310"}, {"ref": "nightcrawler/exploratory-analysis-rossmann", "kernel_id": "25657"}, {"ref": "coderzombie/exploring-rossmann-data", "kernel_id": "21060"}, {"ref": "coderzombie/exploring-rossmannn", "kernel_id": "21067"}, {"ref": "ggep22/how-does-new-competition-affect-sales", "kernel_id": "29176"}, {"ref": "ggep22/exploratory-analysis-day-level-patterns", "kernel_id": "29111"}, {"ref": "ggep22/notebook-d5ed5fc612262695067c", "kernel_id": "25648"}, {"ref": "malzantot/trying-it", "kernel_id": "28399"}, {"ref": "maneeshkm/feature-correlation-plot", "kernel_id": "18938"}, {"ref": "maneeshkm/notebook-240f4a744b74ab6ad49e", "kernel_id": "20518"}, {"ref": "momofat/randomforest-binarizedfeature", "kernel_id": "21319"}, {"ref": "marjancek/mean-sales-per-weekday-per-store", "kernel_id": "21792"}, {"ref": "ayratzay/notebook-edbd7ee6644295c94552", "kernel_id": "24129"}, {"ref": "perseba/new-not", "kernel_id": "26867"}, {"ref": "chinga/notebook-673f462dc13d364c9e3c", "kernel_id": "20729"}, {"ref": "cadretedata/prueba1", "kernel_id": "22876"}, {"ref": "jimonji/notebook-6f793486c59e9f89b55e", "kernel_id": "21832"}, {"ref": "charmeep/notebook-f86817fa4dd4e8148bbb", "kernel_id": "26452"}, {"ref": "huahuajhu/exploratory-analysis-rossmann", "kernel_id": "19868"}, {"ref": "zeroblue/xgboost-in-python-with-rmspe", "kernel_id": "19779"}, {"ref": "zeroblue/predict-sales-with-pandas-py", "kernel_id": "23128"}, {"ref": "inthiyan/notebook529367c2f3", "kernel_id": "158010"}, {"ref": "giader/exploratory-analysis-rossmann", "kernel_id": "187479"}, {"ref": "justdoit/xgboost-in-python-with-rmspe", "kernel_id": "20705"}, {"ref": "pgnepal/notebook-bbac9ddb27c28feb93b4", "kernel_id": "21462"}, {"ref": "pgnepal/rossmann-stores-clustering-and-forecast", "kernel_id": "172419"}, {"ref": "dimitrislev/xgb-w-rmspe-eval", "kernel_id": "18893"}, {"ref": "dimitrislev/xgboost-in-python-with-rmspe", "kernel_id": "19527"}, {"ref": "dimitrislev/xgboost-in-python-with-rmspe-2", "kernel_id": "19528"}, {"ref": "dimitrislev/evolutionary-algorithms-for-param-tuning", "kernel_id": "24211"}, {"ref": "sword19/notebook-04ba5a4f259955796fe7", "kernel_id": "57185"}, {"ref": "sword19/a-journey-through-rossmann-stores", "kernel_id": "51545"}, {"ref": "sword19/notebook-f828d0207c8a0fe3cc0c", "kernel_id": "51562"}, {"ref": "jonomon/notebook-e82372d11e3ba07a118e", "kernel_id": "21506"}, {"ref": "jhanni/xgb-w-rmspe-eval", "kernel_id": "18878"}, {"ref": "selsaas/xgb-rossmann", "kernel_id": "22951"}, {"ref": "selsaas/xgboost-in-python-nkhuyu", "kernel_id": "22954"}, {"ref": "selsaas/xgb-rossmann-lseltest", "kernel_id": "25345"}, {"ref": "mrtaka/notebook-cf3cdc76e4b03a6499fd", "kernel_id": "21999"}, {"ref": "mrtaka/notebook-1b9c5a8e902dc66a9ab3", "kernel_id": "22000"}, {"ref": "mmourafiq/data-viz", "kernel_id": "22766"}, {"ref": "mmourafiq/notebook-527c18b1b57f9f905bd4", "kernel_id": "20696"}, {"ref": "jaerimsy/notebook-c040221a2e3f2a4b2e1c", "kernel_id": "21877"}, {"ref": "duttasourav/notebook-65453764fa9003d89890", "kernel_id": "28327"}, {"ref": "zhweisophie/random-forest-example-0-12579", "kernel_id": "18827"}, {"ref": "amaraa/notebook-6dc46ed7a3ad4428522b", "kernel_id": "21848"}, {"ref": "amaraa/notebook-29f305251d35c3d7e8e6", "kernel_id": "28765"}, {"ref": "harishbchalam204/notebook5828b1a9dd", "kernel_id": "107482"}, {"ref": "harishbchalam204/notebook-cb007bec11833a2ce537", "kernel_id": "80928"}, {"ref": "harishbchalam204/harish", "kernel_id": "80930"}, {"ref": "harishbchalam204/harish1", "kernel_id": "80932"}, {"ref": "adpndp/notebook-8a8c157bbd0c521df74a", "kernel_id": "23465"}, {"ref": "boldoo/notebook-fc8deb18582c007103ab", "kernel_id": "31406"}, {"ref": "boldoo/randomforest", "kernel_id": "23496"}, {"ref": "paso84/xgboost-in-python-with-rmspe", "kernel_id": "18876"}, {"ref": "korbonits/random-forest-example", "kernel_id": "18678"}, {"ref": "dhbrown/scripty-001", "kernel_id": "22503"}, {"ref": "claluc/notebook-285cbba32a0d384d261b", "kernel_id": "22729"}, {"ref": "sinaasappel/visualize-mean-sales-per-month", "kernel_id": "19201"}, {"ref": "sinaasappel/visualize-mean-sales-per-day-author-an", "kernel_id": "19481"}, {"ref": "loveall/fork-of-time-series-analysis-and-forecasts-with-p", "kernel_id": "430726"}, {"ref": "sannikowaa/artyomsannikow-technosphere", "kernel_id": "245701"}, {"ref": "sannikowaa/notebook426ff2736c", "kernel_id": "245027"}, {"ref": "sammyshen/exploratory-and-randomforest-1st-run", "kernel_id": "22319"}, {"ref": "sammyshen/exploratory-and-randomforest", "kernel_id": "22320"}, {"ref": "zhouwubai/xgboost-in-python-with-rmspe", "kernel_id": "21416"}, {"ref": "advnturecaptlst/a-journey-through-rossmann-stores", "kernel_id": "29811"}, {"ref": "michael1986/filling-gaps-in-the-training-set", "kernel_id": "21723"}, {"ref": "michael1986/notebook-16cd0229e675aaabc6ea", "kernel_id": "21724"}, {"ref": "jettyy/modelchecking", "kernel_id": "22207"}, {"ref": "ankurv857/xg-boost-lb-11", "kernel_id": "19556"}, {"ref": "ankurv857/xgboost-ankur", "kernel_id": "19552"}, {"ref": "mtambos/xgboost-in-python-with-rmspe", "kernel_id": "20317"}, {"ref": "mtambos/notebook-a2c25048cd53c52b64bb", "kernel_id": "21015"}, {"ref": "mtambos/test-xgb", "kernel_id": "21016"}, {"ref": "mtambos/xgboost-feature-importance", "kernel_id": "21017"}, {"ref": "abogushov/notebookfdefbb4e1f", "kernel_id": "106155"}, {"ref": "mchahhou/notebook-66664c0e05c8feec23d2", "kernel_id": "21979"}, {"ref": "gatesmbrown/notebook-fd0cfe12fac946326ed1", "kernel_id": "21614"}, {"ref": "beiwenwu/notebook-f1c9f92d30d862652242", "kernel_id": "21477"}, {"ref": "beiwenwu/rffillna", "kernel_id": "19031"}, {"ref": "beiwenwu/xgboost-in-python-with-rmspe", "kernel_id": "19128"}, {"ref": "dimitrivrehen/notebook-6d64f6b845222222d088", "kernel_id": "29143"}, {"ref": "dimitrivrehen/notebook-760a1c117ddd875b7fa7", "kernel_id": "27658"}, {"ref": "briantcs/notebook-7df7de7fcb1db2d740e3", "kernel_id": "22877"}, {"ref": "lfiaschi/notebook-f641a9f3c8e086eba0aa", "kernel_id": "24489"}, {"ref": "luzhao/notebook-52712431a81a8d849580", "kernel_id": "23586"}, {"ref": "erolbiberoglu/notebook-6c7b3632c47f31c78e18", "kernel_id": "26607"}, {"ref": "erolbiberoglu/notebook-284697acb3f560b3a669", "kernel_id": "26608"}, {"ref": "erolbiberoglu/notebook-7d4ffe6131445ae1ebf7", "kernel_id": "26609"}, {"ref": "erolbiberoglu/notebook-979f1d97aadcf7a881dc", "kernel_id": "26611"}, {"ref": "waltherg/notebook-40d5f326b95a28b80911", "kernel_id": "23373"}, {"ref": "waltherg/test-notebook", "kernel_id": "23367"}, {"ref": "waltherg/notebook-f45ad082dcd79f2ec281", "kernel_id": "23368"}, {"ref": "waltherg/test-notebook-1", "kernel_id": "23369"}, {"ref": "rakhlin/t-sne-visualization", "kernel_id": "25073"}, {"ref": "rakhlin/notebook-1d05394c229b85ed1d02", "kernel_id": "24757"}, {"ref": "bjwiley/xgb-rossmann", "kernel_id": "20617"}, {"ref": "timkreienkamp/xgb-w-rmspe-eval", "kernel_id": "18958"}, {"ref": "krishnakumarselvam/rossman", "kernel_id": "25284"}, {"ref": "michellezhou/notebook-488e9d8101b71bd056a5", "kernel_id": "24746"}, {"ref": "jiajunyang/a-journey-through-rossmann-stores", "kernel_id": "27513"}, {"ref": "jiajunyang/test-work", "kernel_id": "27514"}, {"ref": "jiajunyang/notebook-00e62b9d24138ea37bbc", "kernel_id": "27516"}, {"ref": "gittu420/hicode", "kernel_id": "24533"}, {"ref": "gittu420/notebook-e75a94ada0acec41f2ef", "kernel_id": "24527"}, {"ref": "bertmanila/h2o-random-forest-example-0-11578", "kernel_id": "23843"}, {"ref": "badforest/script1", "kernel_id": "22328"}, {"ref": "msawanth/notebook-5c7c63c76a6ae256e749", "kernel_id": "21951"}, {"ref": "msawanth/notebook-91b59da1eb6edd18f28c", "kernel_id": "21656"}, {"ref": "msawanth/notebook-27e046289d018476ec98", "kernel_id": "21651"}, {"ref": "msawanth/notebook-f37985dcec4db93bd7cd", "kernel_id": "21652"}, {"ref": "msawanth/notebook-d8c351727258566efb1b", "kernel_id": "21824"}, {"ref": "msawanth/notebook-c5a70f46cf40ba7b2465", "kernel_id": "21711"}, {"ref": "boscotsang/xgboost", "kernel_id": "19675"}, {"ref": "clarkdjilo/notebook-891de35699d82277da7a", "kernel_id": "29518"}, {"ref": "clarkdjilo/notebook-f5f8a7093e05b6ce4f9c", "kernel_id": "29516"}, {"ref": "clarkdjilo/notebook-2c1d51fde2f144d060ae", "kernel_id": "29496"}, {"ref": "clarkdjilo/notebook-37e64d5b5ce79e510c26", "kernel_id": "30185"}, {"ref": "gowtham264/a-journey-through-rossmann-stores", "kernel_id": "31533"}, {"ref": "gowtham264/notebook-9fb44a33932b15ca6e8d", "kernel_id": "36480"}, {"ref": "dataying/testfile", "kernel_id": "19515"}, {"ref": "mdimercurio/test1235", "kernel_id": "23043"}, {"ref": "mdimercurio/notebook934e65d2bf", "kernel_id": "232649"}, {"ref": "linpingta/test-py", "kernel_id": "19479"}, {"ref": "mohdatir/h2o-random-forest", "kernel_id": "19589"}, {"ref": "mohdatir/h20-r-script", "kernel_id": "23044"}, {"ref": "mohdatir/h20-rscript", "kernel_id": "23045"}, {"ref": "mohdatir/h20-r", "kernel_id": "23042"}, {"ref": "mohdatir/xgb-feature-engineering", "kernel_id": "23064"}, {"ref": "mohdatir/weather", "kernel_id": "23302"}, {"ref": "mas313/xgb-rossmann", "kernel_id": "26863"}, {"ref": "marovanjoshi/exploratory-analysis-rossmann", "kernel_id": "78755"}, {"ref": "mikejiang/abcdef", "kernel_id": "21839"}, {"ref": "mikejiang/notebook-11442443c353402110b8", "kernel_id": "21426"}, {"ref": "qiujiqiong/xgb-rossmann", "kernel_id": "21772"}, {"ref": "luckylwk/notebook-87d3a3847d68986edb61", "kernel_id": "24307"}, {"ref": "sushize/xgb-000", "kernel_id": "22466"}, {"ref": "sushize/xgb-try", "kernel_id": "22361"}, {"ref": "sushize/h2o-rf-0-11578", "kernel_id": "19313"}, {"ref": "sushize/h2o-rf-11508-noseed", "kernel_id": "20266"}, {"ref": "sushize/xgb-rossmann-361-ssz-data", "kernel_id": "26429"}, {"ref": "adason/xgboost", "kernel_id": "18685"}, {"ref": "potterxu/notebook-2192b55c0b097da6755b", "kernel_id": "55739"}, {"ref": "potterxu/exploratory-and-randomforest", "kernel_id": "55089"}, {"ref": "potterxu/notebook-a8bee58abd508ac1f06e", "kernel_id": "55090"}, {"ref": "sh1ngg/xgboost-in-python-with-rmspe", "kernel_id": "21261"}, {"ref": "alvations/notebook-44d9eb525c2a5c0da97f", "kernel_id": "24766"}, {"ref": "alvations/xgb-rossmann", "kernel_id": "27989"}, {"ref": "pandaprotector/notebook-da510cf2b6e91493c9fb", "kernel_id": "25509"}, {"ref": "andreasgertschgrover/notebook-23065fcf16856b3af93c", "kernel_id": "23841"}, {"ref": "andreasgertschgrover/notebook-e64114af9835ee6ef214", "kernel_id": "23985"}, {"ref": "andreasgertschgrover/notebook-0435f10e3039200dc708", "kernel_id": "22902"}, {"ref": "andreasgertschgrover/notebook-9fb8f878eed141854485", "kernel_id": "22903"}, {"ref": "andreasgertschgrover/notebook-c9bc58e7a493b1eb260a", "kernel_id": "22904"}, {"ref": "andreasgertschgrover/notebook-40dd9a1768f7d394e8a3", "kernel_id": "22905"}, {"ref": "andreasgertschgrover/notebook-95dc7b66364438229a1b", "kernel_id": "22906"}, {"ref": "andreasgertschgrover/notebook-f1d157c63aa7a69b84ee", "kernel_id": "23016"}, {"ref": "andreasgertschgrover/notebook-670517c450ad1b09385a", "kernel_id": "23007"}, {"ref": "andreasgertschgrover/notebook-8b44913fe57110f9749c", "kernel_id": "23631"}, {"ref": "suresubs/notebook-995273060befca769339", "kernel_id": "29166"}, {"ref": "rahulhp/notebook-fc50ac05bc36161d5779", "kernel_id": "24096"}, {"ref": "changani/h20-r-script", "kernel_id": "22136"}, {"ref": "madraziw/madtest-1", "kernel_id": "80291"}, {"ref": "danijelk/xgb-rossmann", "kernel_id": "22608"}, {"ref": "zerwan/randomforestpython", "kernel_id": "20734"}, {"ref": "mehazard/notebook-a3bfbf2f7f7d0cb5312f", "kernel_id": "20454"}, {"ref": "mehazard/notebook-56c2d58e4a648c194de8", "kernel_id": "20455"}, {"ref": "mehazard/notebook-ff6a5bab275551ed228f", "kernel_id": "20457"}, {"ref": "nianxue/notebook-f7921ace5202857a32cc", "kernel_id": "30501"}, {"ref": "altazor/notebook-cb99604de08a1a672b23", "kernel_id": "20628"}, {"ref": "wellermatt/notebook-60173210bcf31861226e", "kernel_id": "21844"}, {"ref": "vipulpatel/notebook-c288a0cff7f047f7f348", "kernel_id": "23701"}, {"ref": "kelvinzhong/notebook-401f05290d100e95db9a", "kernel_id": "23491"}, {"ref": "splinter/a-journey-through-rossmann-stores", "kernel_id": "27451"}, {"ref": "splinter/notebook-d69bf3401333abefd84b", "kernel_id": "27452"}, {"ref": "splinter/notebook-cfd5abc98c215e49c904", "kernel_id": "27453"}, {"ref": "splinter/notebook-b7bc4e4abc71a2717f5f", "kernel_id": "27454"}, {"ref": "splinter/notebook-d0072dea3a68123d1281", "kernel_id": "27455"}, {"ref": "splinter/notebook-c8ca6a980d88799ca82e", "kernel_id": "27456"}, {"ref": "splinter/notebook-cf899791b02c4a2740d8", "kernel_id": "27457"}, {"ref": "tadeze/a-journey-through-rossmann-stores", "kernel_id": "27279"}, {"ref": "valentinz/notebook-9be6ca90a1fc6fe5317d", "kernel_id": "24298"}, {"ref": "heartyguy/lb-progression", "kernel_id": "21504"}, {"ref": "albenvinoj/alben", "kernel_id": "22878"}, {"ref": "michaelpawlus/obligatory-xgboost-example", "kernel_id": "18560"}, {"ref": "michaelpawlus/xgboost-w-custom-error-function", "kernel_id": "18650"}, {"ref": "queiroz85/analise-inicial", "kernel_id": "20868"}, {"ref": "zhhthu11/a-journey-through-rossmann-stores", "kernel_id": "29354"}, {"ref": "attilatoth/notebook-34977c7b8e9654f04ecb", "kernel_id": "22653"}, {"ref": "atinisi/a-journey-through-rossmann-stores", "kernel_id": "54033"}, {"ref": "saatetyi/notebook-4b06f4a9adf2d646b32c", "kernel_id": "20791"}, {"ref": "yddben/notebook-e001b0f03e59e0dc84d9", "kernel_id": "26968"}, {"ref": "yddben/yy-ross", "kernel_id": "26969"}, {"ref": "ankitccuser/h2o-random-forest", "kernel_id": "19430"}, {"ref": "ankitccuser/xgboost", "kernel_id": "21007"}, {"ref": "rakira/rossman-code", "kernel_id": "215146"}, {"ref": "republic966/xgb-w-rmspe-eval", "kernel_id": "21108"}, {"ref": "sebasibarguen/notebook-93d5521d52b47af1557f", "kernel_id": "24199"}, {"ref": "vacant/notebook-b6e0b6af48529f6f3a3f", "kernel_id": "20580"}, {"ref": "aguschin/proba", "kernel_id": "20582"}, {"ref": "aguschin/xgb-rossmann", "kernel_id": "21508"}, {"ref": "liweilin/notebook-a29c63a7cb6eba2521bd", "kernel_id": "21154"}, {"ref": "yuqingxue/exploratory-analysis-rossmann", "kernel_id": "21047"}, {"ref": "benbauer/notebook-4f8ae3ec045a4026922b", "kernel_id": "21342"}, {"ref": "chrinide/notebook-449cd78850bb2d9e984f", "kernel_id": "25338"}, {"ref": "yogihbti/forecastscript", "kernel_id": "19292"}, {"ref": "wenliwen64/notebook-b9e17b004bc31c5ba93b", "kernel_id": "23725"}, {"ref": "qmaruf/xgboost-in-python-with-rmspe", "kernel_id": "19046"}, {"ref": "mikeanderson/random-forest-example-0-12579", "kernel_id": "19998"}, {"ref": "diegoee/notebook-2fb984766656c76de11a", "kernel_id": "22824"}, {"ref": "diegoee/notebook-ede2d235616d864d9671", "kernel_id": "22825"}, {"ref": "smilesun/xgboost-feature-importance", "kernel_id": "24208"}, {"ref": "notalx/notebook-2159f784ae4c64d12e02", "kernel_id": "21383"}, {"ref": "notalx/notebook-8fbe8b6b188508cd0c85", "kernel_id": "21263"}, {"ref": "notalx/notebook-fa7dfcf40aa79849c0c1", "kernel_id": "21264"}, {"ref": "klokodil/notebook-65e7e5f9072840c99556", "kernel_id": "22370"}, {"ref": "vinhnguyen/evolutionary-algorithms-for-param-tuning", "kernel_id": "22048"}, {"ref": "vinhnguyen/notebook-f638b9dc0e70aabc63b0", "kernel_id": "22054"}, {"ref": "vinhnguyen/evolutionary-algorithms", "kernel_id": "22061"}, {"ref": "vinhnguyen/notebook-0ae8bb5001d78db85171", "kernel_id": "22066"}, {"ref": "vinhnguyen/notebook-f11d8c5a9a25448233e3", "kernel_id": "22067"}, {"ref": "vinhnguyen/notebook-28106464666202afe071", "kernel_id": "22068"}, {"ref": "vinhnguyen/random-forest-notebook", "kernel_id": "22069"}, {"ref": "vinhnguyen/basic-visualization", "kernel_id": "22070"}, {"ref": "vinhnguyen/notebook-e80d82b2b44a48ff5def", "kernel_id": "22071"}, {"ref": "vinhnguyen/notebook-372f72a176252a90d263", "kernel_id": "22072"}, {"ref": "vinhnguyen/notebook-afd5987d4b0de0d4bb89", "kernel_id": "22073"}, {"ref": "vinhnguyen/notebook-ac70149bd90ac8ff9936", "kernel_id": "22074"}, {"ref": "vinhnguyen/notebook-969c3c798c40caafccfb", "kernel_id": "22075"}, {"ref": "vinhnguyen/notebook-cfa4765e33a88c8727ac", "kernel_id": "22077"}, {"ref": "vinhnguyen/notebook-5107e42ca9e024403ad2", "kernel_id": "22079"}, {"ref": "vinhnguyen/notebook-84d8bca83e7191cbe21e", "kernel_id": "22115"}, {"ref": "vinhnguyen/notebook-d49d95fa0f4305305213", "kernel_id": "22097"}, {"ref": "matyot/h2o-random-forest-example-0-11578", "kernel_id": "19629"}, {"ref": "liwzhi/xgb-rossmann", "kernel_id": "20663"}, {"ref": "liwzhi/xgboost", "kernel_id": "20652"}, {"ref": "liwzhi/xgb-rossmann-update", "kernel_id": "23197"}, {"ref": "sjw821/notebook-4720dd015a041bd446c7", "kernel_id": "22549"}, {"ref": "sudarsan/a-journey-through-rossmann-stores", "kernel_id": "66859"}, {"ref": "darraghdog/notebook-290bf6511fb3391a75a1", "kernel_id": "24987"}, {"ref": "archismanroy/notebook-9d8d8f8abd3740126f74", "kernel_id": "59924"}, {"ref": "kaorunasuno/notebook-2323b49f6369af8ccbe1", "kernel_id": "20773"}, {"ref": "joshuaslocum/notebook-0d4b4a580a9ba226d6c2", "kernel_id": "27523"}, {"ref": "joshuaslocum/xgb-thing2", "kernel_id": "28155"}, {"ref": "joshuaslocum/random-forest-example", "kernel_id": "18605"}, {"ref": "joshuaslocum/xgb-rossmann", "kernel_id": "18984"}, {"ref": "joshuaslocum/xgb-1", "kernel_id": "26577"}, {"ref": "joshuaslocum/notebook-78652aebd7604bfcd5ce", "kernel_id": "24909"}, {"ref": "khozzy/xgboost-parameter-tuning-template", "kernel_id": "20853"}, {"ref": "rhinodaveb/xgboost-in-python-with-rmspe", "kernel_id": "21942"}, {"ref": "madcap/h2o-random-forest-example-customers", "kernel_id": "22783"}, {"ref": "vishnusreekumar/notebook-32cb93fc5a93cc417dac", "kernel_id": "28650"}, {"ref": "kapetis/xgb-rossmann-1", "kernel_id": "20463"}, {"ref": "flodej/notebook-e13beea12613eaf5d79e", "kernel_id": "25705"}, {"ref": "flodej/notebook-7792a9e65334c1298750", "kernel_id": "25691"}, {"ref": "flodej/notebook-23cc72c87a75d27e6091", "kernel_id": "25692"}, {"ref": "flodej/notebook-602a63336b5150e032fb", "kernel_id": "25693"}, {"ref": "flodej/notebook-448e0bd53950db6bc634", "kernel_id": "25694"}, {"ref": "flodej/notebook-23655c03ce272e5f0069", "kernel_id": "25695"}, {"ref": "flodej/notebook-02fd52d34e196ff94889", "kernel_id": "25687"}, {"ref": "flodej/a-journey-through-rossmann-stores", "kernel_id": "25688"}, {"ref": "ppjoker/h2o-random-forest-example-0-11578", "kernel_id": "24468"}, {"ref": "ppjoker/notebook-f9e9890169d3698bfda0", "kernel_id": "25240"}, {"ref": "teracrator/h2o22", "kernel_id": "20113"}, {"ref": "krishnaiitd/notebook-9e10c5d7d47ec177c7c9", "kernel_id": "84048"}, {"ref": "krishnaiitd/rossmann-store-sales-prediction", "kernel_id": "81458"}, {"ref": "cdcttr/rossmann-test", "kernel_id": "22859"}, {"ref": "cdcttr/rossmann-test00", "kernel_id": "22860"}, {"ref": "svendaehne/notebook-841e3e9b97297491886f", "kernel_id": "23001"}, {"ref": "svendaehne/test1", "kernel_id": "22996"}, {"ref": "durpani/notebook-eefeaf0b9fcb2fda6eeb", "kernel_id": "31021"}, {"ref": "durpani/notebook-57b725cf261c284f1566", "kernel_id": "31022"}, {"ref": "durpani/notebook-aa7550e4b44f4e12d741", "kernel_id": "31023"}, {"ref": "timesler/h2o-random-forest-example-0-11578", "kernel_id": "21041"}, {"ref": "dvasyukova/predict-sales-with-pandas-py", "kernel_id": "18863"}, {"ref": "dvasyukova/notebook-faf0e5449440dc620947", "kernel_id": "20534"}, {"ref": "dvasyukova/notebook-f69aac19665bb6d1ea16", "kernel_id": "20559"}, {"ref": "dvasyukova/notebook-a2de81ffcd51bf5a44bd", "kernel_id": "20540"}, {"ref": "afetisov/hw11-ts", "kernel_id": "874590"}, {"ref": "georgtrof/test-r", "kernel_id": "19545"}, {"ref": "kietphun/h2o-random-forest-example-0-11578", "kernel_id": "19566"}, {"ref": "alexandravo/notebook-5916d3485b147b5765ab", "kernel_id": "20656"}, {"ref": "balaji01123/notebook-0c56dcc31a331d8026c4", "kernel_id": "25711"}, {"ref": "ryanpmccaffrey/h2o-random-forest-example-0-11578", "kernel_id": "23483"}, {"ref": "thie1e/exploratory-analysis-rossmann", "kernel_id": "19422"}, {"ref": "bilborn/notebook-97760752b65e8feb9522", "kernel_id": "28143"}, {"ref": "ianxxiao/notebook-ed80d27c4ee950da0be8", "kernel_id": "24219"}, {"ref": "ianxxiao/notebook-9e1333d7c39ecb36a4a7", "kernel_id": "34440"}, {"ref": "manasrkar/xgboost-feature-importance", "kernel_id": "27065"}, {"ref": "burakozen/notebook-07d1da15ac6b2a5cfbff", "kernel_id": "46697"}, {"ref": "burakozen/abcde", "kernel_id": "46699"}, {"ref": "burakozen/notebook-5631bd1fc2c5e9ed1fec", "kernel_id": "46702"}, {"ref": "burakozen/script-1", "kernel_id": "46703"}, {"ref": "burakozen/notebook-b63f13ea654ffc3f2cfa", "kernel_id": "46708"}, {"ref": "yasinkutuk/notebook-34d672ff6c4677ce0da9", "kernel_id": "21692"}, {"ref": "nplay007/notebook-b7f1ea5db660816c4b4f", "kernel_id": "22414"}, {"ref": "udayand/time-series-experiments", "kernel_id": "27647"}, {"ref": "ethannguyen/notebookf15ffe6bd4", "kernel_id": "105631"}, {"ref": "nakapoor/rossmman-analysis-using-ggplot", "kernel_id": "198074"}, {"ref": "mgc1967/notebook-980e762301e3d427de25", "kernel_id": "22154"}, {"ref": "drack3800/notebook-15218790acc8d0ba824a", "kernel_id": "21242"}, {"ref": "sasimsb/notebook-d90fb0e0884fa9113ba8", "kernel_id": "27337"}, {"ref": "karthe/notebook-e442ff6eb15d6aa36824", "kernel_id": "24369"}, {"ref": "lucasmachado/notebook-e507a13a92bd450619e0", "kernel_id": "20634"}, {"ref": "lucasmachado/notebook-d6e5ab51252c074d4336", "kernel_id": "20635"}, {"ref": "bikasha/notebook-0d31f872d0b367b4b0aa", "kernel_id": "29338"}, {"ref": "bikasha/notebook-ab2390b1abb5ff25bd63", "kernel_id": "22211"}, {"ref": "alfredmungai/testing", "kernel_id": "22936"}, {"ref": "alfredmungai/time-series-linear-models-tslm", "kernel_id": "20963"}, {"ref": "scirpus/training-on-individual-stores", "kernel_id": "27913"}, {"ref": "scirpus/xgb-on-individual-stores", "kernel_id": "27914"}, {"ref": "prateeksinghal11/xgb-ensamble-0-108", "kernel_id": "19729"}, {"ref": "shravanumn/a-journey-through-rossmann-stores", "kernel_id": "27571"}, {"ref": "transwarp/a-journey-through-rossmann-stores", "kernel_id": "35505"}, {"ref": "transwarp/notebook-cd53274ee7f6158ac380", "kernel_id": "68522"}, {"ref": "madhavansriram/rossman-store-sales-forecasting", "kernel_id": "223616"}, {"ref": "kellyhe/notebook-a267d541447beb9f6d1d", "kernel_id": "22846"}, {"ref": "ivanl1/notebook-28866f479abc56e1d724", "kernel_id": "24399"}, {"ref": "ivanl1/notebook-63ad68cdd1b2b967e3fd", "kernel_id": "24400"}, {"ref": "chriszeng/similarperiod", "kernel_id": "24165"}, {"ref": "thishya/vaithiro", "kernel_id": "28019"}, {"ref": "thishya/rossmantrial", "kernel_id": "27977"}, {"ref": "thishya/thitry1", "kernel_id": "25311"}, {"ref": "thishya/trial1", "kernel_id": "26758"}, {"ref": "jpzhangv/notebook-cdc8e69298c6e8266fec", "kernel_id": "22763"}, {"ref": "marsanma/notebook-b68a5ece5a791c12217f", "kernel_id": "20434"}, {"ref": "lkirch/very-simple-model-12-lines-0-13952", "kernel_id": "22992"}, {"ref": "lkirch/testingrossmanndata-ipynb", "kernel_id": "22188"}, {"ref": "lkirch/notebook-ed64304c82a05227640d", "kernel_id": "21749"}, {"ref": "lkirch/xgboost-in-python-with-rmspe", "kernel_id": "24860"}, {"ref": "lkirch/h2oglm-r", "kernel_id": "23998"}, {"ref": "lkirch/h2ogbm-r", "kernel_id": "23774"}, {"ref": "ibnirusd/xgb-rossmanncad", "kernel_id": "25388"}, {"ref": "skylord/interactive-sales-visualization", "kernel_id": "24093"}, {"ref": "skylord/xgb-with-r-script", "kernel_id": "19338"}, {"ref": "cyhong549/a-journey-through-rossmann-stores", "kernel_id": "32358"}, {"ref": "dtgm15/notebook-440fd5c81c87354af69a", "kernel_id": "24019"}, {"ref": "dtgm15/notebook-bda59da575e974d9aaa2", "kernel_id": "24413"}, {"ref": "malais/rossman-h20", "kernel_id": "23696"}, {"ref": "nikhilhegde9/notebook-4d66c7540ef9dbcd0575", "kernel_id": "26213"}, {"ref": "nikhilhegde9/12345", "kernel_id": "26408"}, {"ref": "nikhilhegde9/xgboost-extra-features", "kernel_id": "26301"}, {"ref": "csongor16/arima-try", "kernel_id": "26349"}, {"ref": "davidsl83/notebook-40991d870e6096eadf13", "kernel_id": "22798"}, {"ref": "davidsl83/prueba-v2", "kernel_id": "22799"}, {"ref": "davidsl83/notebook-eb3e8a83a5621e6cbc90", "kernel_id": "21820"}, {"ref": "lovetaste/notebook-e926b0a24ce21a722556", "kernel_id": "26462"}, {"ref": "anatole/random-forest-example-0-12579", "kernel_id": "24567"}, {"ref": "jkim615/xgb-w-rmspe-eval", "kernel_id": "35602"}, {"ref": "annavictoria/notebook-fbb80a0c52547946a390", "kernel_id": "24458"}, {"ref": "annavictoria/notebook-577595fcb74fa472906c", "kernel_id": "24460"}, {"ref": "annavictoria/notebook-6edb8cfb5492e4fe195b", "kernel_id": "24461"}, {"ref": "venkatesh01/a-journey-through-rossmann-stores", "kernel_id": "25732"}, {"ref": "venkatesh01/notebook-b66fabcbc8d54aa83b6d", "kernel_id": "25734"}, {"ref": "inventology/notebook-a099441bfb9fe3690988", "kernel_id": "22500"}, {"ref": "rbhadra/random-forest-simple", "kernel_id": "21739"}, {"ref": "rbhadra/gbm-basic", "kernel_id": "21872"}, {"ref": "nkorolyov/notebook-3853befef5f6046b6fec", "kernel_id": "21312"}, {"ref": "carloshuertas/xgb-testy", "kernel_id": "24656"}, {"ref": "wswuai/randomforest", "kernel_id": "18953"}, {"ref": "vdpappu/notebook-03a674a0fa4ef64d7972", "kernel_id": "26619"}, {"ref": "zzz179/notebook-592d2d8c059a027eee30", "kernel_id": "23427"}, {"ref": "junk1e/notebook-76a2f4411a3e5ec4b0b9", "kernel_id": "22453"}, {"ref": "sebda1/simple-avg-store-dow-promo", "kernel_id": "22195"}, {"ref": "sebda1/simple-tree-model-factorised", "kernel_id": "22914"}, {"ref": "sebda1/xgb-bench2", "kernel_id": "24029"}, {"ref": "beeear/exploratory-analysis-rossmann", "kernel_id": "238485"}, {"ref": "jyangdaily/notebook-8830555fd1f0d27a8ffa", "kernel_id": "32624"}, {"ref": "jyangdaily/rossmann-sale-prediction", "kernel_id": "25757"}, {"ref": "jyangdaily/notebook-6ed4260f6917fdb9d20b", "kernel_id": "23493"}, {"ref": "zeearend/notebook-1c7d8aa6ed70e52cf79b", "kernel_id": "22446"}, {"ref": "antongoy/random-forest-validation", "kernel_id": "22288"}, {"ref": "bruttoblotto/notebook-076c01896081ff59555d", "kernel_id": "23700"}, {"ref": "sadhi009/notebook-b8d4294693b54163cb73", "kernel_id": "22770"}, {"ref": "abhishekanand/notebook-a8676ed6d7f3cc51e196", "kernel_id": "25106"}, {"ref": "keberhard/data-viz", "kernel_id": "27209"}, {"ref": "keberhard/notebook-44e55ee7cb8e5278cbfc", "kernel_id": "27210"}, {"ref": "keberhard/notebook-c065ffca367d7b5016a0", "kernel_id": "27211"}, {"ref": "mickael/notebook-301172579377caa884f0", "kernel_id": "24674"}, {"ref": "mickael/notebook-f09f2d8f1f03d37c3925", "kernel_id": "24749"}, {"ref": "seiteta/xgb-rossmann", "kernel_id": "26348"}, {"ref": "clarechen/h2o-random-forest-example-0-11578", "kernel_id": "21929"}, {"ref": "xiangyang/notebook-1388ed9629873352035e", "kernel_id": "27615"}, {"ref": "saber00/randomforestpython", "kernel_id": "18883"}, {"ref": "saber00/xgboost-in-python-with-rmspe", "kernel_id": "19067"}, {"ref": "saber00/randomforest", "kernel_id": "19061"}, {"ref": "ntarasov/notebook-7ea7c84c9f80fc2d2aa1", "kernel_id": "26097"}, {"ref": "philipkot/exploring-rossmann-data", "kernel_id": "19401"}, {"ref": "philipkot/thoughts-on-the-evaluation-metric", "kernel_id": "22293"}, {"ref": "ubsingh9/notebook-bd81edcbad6b1525de9d", "kernel_id": "25986"}, {"ref": "interesting/notebook-0a8000d3372441d5fe0b", "kernel_id": "24150"}, {"ref": "zhengneng/notebook-0c9093c1a97d15a74aa8", "kernel_id": "31133"}, {"ref": "amhchiu/more-exploratory-data-analysis", "kernel_id": "19582"}, {"ref": "signochastic/xgboost-feature-importance", "kernel_id": "29056"}, {"ref": "loic74/regression-rossmand", "kernel_id": "18740"}, {"ref": "loic74/random-rf", "kernel_id": "18720"}, {"ref": "loic74/h2o-random-forest-example", "kernel_id": "18708"}, {"ref": "tereka/notebook-b44b2645b91108c14efa", "kernel_id": "20359"}, {"ref": "anshumanyp/rossman", "kernel_id": "25924"}, {"ref": "supernova117/basic-visualization", "kernel_id": "22570"}, {"ref": "supernova117/exploratory-and-randomforest", "kernel_id": "22571"}, {"ref": "ekonev/notebook-c1a1ddbbbd4da395667d", "kernel_id": "26881"}, {"ref": "threeplusme/xgb-w-rmspe-eval-last", "kernel_id": "18931"}, {"ref": "threeplusme/exploratory-plots-by-store", "kernel_id": "18934"}, {"ref": "threeplusme/9-n-highscore", "kernel_id": "21975"}, {"ref": "jrlund/exploratory-analysis-rossmann", "kernel_id": "19560"}, {"ref": "nadeeshaa/a-journey-through-rossmann-stores", "kernel_id": "35037"}, {"ref": "nadeeshaa/notebook-90edc46bb5caf41e725a", "kernel_id": "35038"}, {"ref": "zhugds/xgboost-w-rmspe-evaluation", "kernel_id": "19906"}, {"ref": "joshstone/notebook-918596c569b189a8017b", "kernel_id": "20478"}, {"ref": "joshstone/xgboost-test", "kernel_id": "20459"}, {"ref": "garywang/notebook-fb18e2e185935f0e47a2", "kernel_id": "26330"}, {"ref": "kosinski/notebook-a112c4c6efa8bef911b4", "kernel_id": "25301"}, {"ref": "dataeinstein/h2o-random-forest-example-0-11578", "kernel_id": "20248"}, {"ref": "westwoodyolanda/exploratory-and-randomforest", "kernel_id": "22958"}, {"ref": "danihuso/notebook-339d640fd909d44eb4ba", "kernel_id": "27343"}, {"ref": "danihuso/notebook-2a49390f4dd6804688cc", "kernel_id": "23629"}, {"ref": "loveds/notebook-c81f6006cd59711fc130", "kernel_id": "25330"}, {"ref": "loveds/notebook-181408a28fc20e2f7b96", "kernel_id": "25331"}, {"ref": "loveds/notebook-b2a8991ff85c0a4c1216", "kernel_id": "25332"}, {"ref": "loveds/notebook-6b2f753c4d10653d632e", "kernel_id": "25333"}, {"ref": "loveds/notebook-b462367bec6915f1bf47", "kernel_id": "24957"}, {"ref": "loveds/notebook-6891244ea1225bda8a17", "kernel_id": "24961"}, {"ref": "loveds/notebook-874e1f71e25ae4f928b8", "kernel_id": "24962"}, {"ref": "yihming/notebook-b0bb5eda994cb76b5c4c", "kernel_id": "22415"}, {"ref": "andrewk315/notebook-2da3ac4670386ba11ffe", "kernel_id": "22175"}, {"ref": "andrewk315/notebook-491777552b9436bba977", "kernel_id": "22176"}, {"ref": "chiuyeelau/h2o-random-forest-example-0-11578", "kernel_id": "19350"}, {"ref": "jnagda/notebook-a61f7612bf5f08710f6b", "kernel_id": "22850"}, {"ref": "baba5246/notebook-23c738420f8c5f5b227e", "kernel_id": "25893"}, {"ref": "baba5246/notebook-b90b28199d40306db3a4", "kernel_id": "25894"}, {"ref": "tenich/xgb-rossmann", "kernel_id": "28689"}, {"ref": "duttaroy/starterscript", "kernel_id": "18573"}, {"ref": "wooohooo/notebook-5158d013e11a47bd4954", "kernel_id": "27559"}, {"ref": "nikhilmishra2110/notebook-94d3e0812c4d86975586", "kernel_id": "45703"}, {"ref": "virusme/notebook63b3486124", "kernel_id": "86903"}, {"ref": "virusme/rossman-store-insights", "kernel_id": "86904"}, {"ref": "virusme/rossmann-store-sales-insights-exploration", "kernel_id": "86810"}, {"ref": "virusme/notebook685b0678f6", "kernel_id": "86818"}, {"ref": "virusme/notebook71b9dcb234", "kernel_id": "86819"}, {"ref": "virusme/redundant", "kernel_id": "86821"}, {"ref": "virusme/rossmann-store-sales-insights", "kernel_id": "86834"}, {"ref": "virusme/notebook926e144726", "kernel_id": "86858"}, {"ref": "virusme/notebook34cd45eaa2", "kernel_id": "86859"}, {"ref": "virusme/notebookeef82519bc", "kernel_id": "86860"}, {"ref": "virusme/notebook27513abc92", "kernel_id": "86861"}, {"ref": "virusme/notebook1b27cd9d56", "kernel_id": "86863"}, {"ref": "virusme/rossmann-store-insights", "kernel_id": "87096"}, {"ref": "virusme/rossmann-store-forecasting-sales-part-1", "kernel_id": "89949"}, {"ref": "tushartilwankar/sklearn-rf", "kernel_id": "18875"}, {"ref": "mazahn/notebook-e0a893cd2396006d104e", "kernel_id": "32242"}, {"ref": "jukona/notebook-144a154627695284c99f", "kernel_id": "21029"}, {"ref": "kelexu/notebook-15d37efd31d2afa76f0f", "kernel_id": "22430"}, {"ref": "kelexu/about-0-10100-xgboost", "kernel_id": "23344"}, {"ref": "kelexu/fix-the-rmpse", "kernel_id": "22896"}, {"ref": "kelexu/beat-0-10361", "kernel_id": "23997"}, {"ref": "achuthraomv/check-ks", "kernel_id": "19524"}, {"ref": "beldevere/notebook-587a1ca1eb7a4ba7e6c0", "kernel_id": "28937"}, {"ref": "graemec/store-features", "kernel_id": "18665"}, {"ref": "iluzin/notebooke581219df2", "kernel_id": "244850"}, {"ref": "iluzin/notebook88be28c27e", "kernel_id": "244851"}, {"ref": "iluzin/hw3-luzin", "kernel_id": "244837"}, {"ref": "dsleege/notebook-5a3564a1bbc667f2b602", "kernel_id": "23544"}, {"ref": "opraveen/a-journey-through-rossmann-stores", "kernel_id": "26331"}, {"ref": "mianuel/notebook-689335b1dee28436e828", "kernel_id": "25594"}, {"ref": "mianuel/notebook-4c1879182c42ad782ae5", "kernel_id": "25595"}, {"ref": "aganov/notebook-97167d87d145b5abd59b", "kernel_id": "23453"}, {"ref": "junghun/exploratory-analysis-rossmann", "kernel_id": "28258"}, {"ref": "neogoyeah/notebook-ef19a248accd5e89282b", "kernel_id": "61189"}, {"ref": "paurabassa/notebook-2a103ff9aa76d53780e2", "kernel_id": "27774"}, {"ref": "puyokw/notebook-8aea7b6fa8d75597636b", "kernel_id": "20392"}, {"ref": "hindantation/notebook-14a2332a42c2b4333df7", "kernel_id": "76809"}, {"ref": "saurabh1331/testing-rossmann", "kernel_id": "20555"}, {"ref": "saurabh1331/notebook-80e6e3569a36260ba631", "kernel_id": "20550"}, {"ref": "saurabh1331/notebook-257a3033ac748cab1712", "kernel_id": "20551"}, {"ref": "saurabh1331/notebook-dc895e6973aedc8ce468", "kernel_id": "20552"}, {"ref": "saurabh1331/notebook-e790189f1f0dcc67e88c", "kernel_id": "20553"}, {"ref": "saurabh1331/panda-testing", "kernel_id": "20546"}, {"ref": "saurabh1331/benchmark-random-forest", "kernel_id": "20581"}, {"ref": "saurabh1331/random-forest-notebook", "kernel_id": "20588"}, {"ref": "saurabh1331/notebook-f2f6ed5c3b4ebbdf38c7", "kernel_id": "20596"}, {"ref": "saurabh1331/notebook-6f33834712bb08f14208", "kernel_id": "26948"}, {"ref": "saurabh1331/gbm-test", "kernel_id": "26949"}, {"ref": "saurabh1331/notebook-3bb9cd31eb89bfc20b27", "kernel_id": "26954"}, {"ref": "saurabh1331/notebook-8d60e8d886931cf7f176", "kernel_id": "26967"}, {"ref": "saurabh1331/xgb-rossmann-gbm", "kernel_id": "26942"}, {"ref": "youssefb/notebook-a85ed317c444b3eb5c50", "kernel_id": "63656"}, {"ref": "youssefb/notebook-7cfe7e6b409270a2e246", "kernel_id": "63652"}, {"ref": "canran/notebookb36418b33d", "kernel_id": "94907"}, {"ref": "hafeneger/notebook-f6e66931ad73e530249b", "kernel_id": "22998"}, {"ref": "wyywyp/notebook-65b02d6e559e4a355222", "kernel_id": "34785"}, {"ref": "dreeux/notebook-c80c76744b239b1fd7f2", "kernel_id": "20564"}, {"ref": "hakimhakim/predict-sales-with-medians-0-12561", "kernel_id": "22809"}, {"ref": "chriscc/notebook-2749be9a8db323941989", "kernel_id": "21353"}, {"ref": "chriscc/notebook-e553a120913f315e6ce4", "kernel_id": "21356"}, {"ref": "chriscc/notebook-adeaad15ebae7d50b791", "kernel_id": "21287"}, {"ref": "chriscc/notebook-7aaf0966cb9cb2482e59", "kernel_id": "21291"}, {"ref": "hiendang/notebook-c8606abe5980f0b9c197", "kernel_id": "24393"}, {"ref": "alexisaudran/notebook-b824c2ca0dce09e2d968", "kernel_id": "20904"}, {"ref": "wildwizard/xgboost-rossman-0-11478", "kernel_id": "29704"}, {"ref": "skcary/sales-heat-map-vizualization", "kernel_id": "27151"}, {"ref": "skcary/sales-vs-customers-in-depth-chart", "kernel_id": "24030"}, {"ref": "skcary/xgb-rossmann", "kernel_id": "22151"}, {"ref": "oliviers/notebook-c50038b66d0e202a7b56", "kernel_id": "21323"}, {"ref": "oliviers/testpython", "kernel_id": "21324"}, {"ref": "oliviers/xgboost-feature-importance", "kernel_id": "21799"}, {"ref": "melindasmith/notebook-abfc360943654e97bd3d", "kernel_id": "22718"}, {"ref": "karma86/rossmann-r-h2o", "kernel_id": "22223"}, {"ref": "karma86/new-xgb-rssmnn", "kernel_id": "28954"}, {"ref": "jonathanlxy/notebook-3dc2d5c2cd247b895ecf", "kernel_id": "31077"}, {"ref": "jonathanlxy/notebook-20c2bcdf4956aba1df7b", "kernel_id": "31078"}, {"ref": "pdandu/testjohnsnow", "kernel_id": "23252"}, {"ref": "shorey/xgb-rossmann", "kernel_id": "149211"}, {"ref": "gpistre/xgbrossmann", "kernel_id": "23621"}, {"ref": "datasj/notebook-d850027904cee614345d", "kernel_id": "23529"}, {"ref": "datasj/scriptr", "kernel_id": "22752"}, {"ref": "datasj/scriptr2", "kernel_id": "22753"}, {"ref": "datasj/notebook-c777263045cd2587f0ae", "kernel_id": "22346"}, {"ref": "datasj/xgboostr", "kernel_id": "22348"}, {"ref": "datasj/xgboost2", "kernel_id": "22445"}, {"ref": "datasj/notebook-4c14ac0c049ff1f9b245", "kernel_id": "21491"}, {"ref": "karelq/seansonplot", "kernel_id": "18869"}, {"ref": "ranjit/neural-network-for-sales", "kernel_id": "28110"}, {"ref": "ikaya754/notebook-ba6f3b88ac00d8f41dfc", "kernel_id": "30551"}, {"ref": "ikaya754/notebook-803fe75a81c520b62536", "kernel_id": "29252"}, {"ref": "ikaya754/notebook-d03d197d71cc5b636fbe", "kernel_id": "29253"}, {"ref": "ikaya754/exploratory-analysis-rossmann", "kernel_id": "29254"}, {"ref": "cynthiaodonnell/notebook-7867cd27e8eb18f187df", "kernel_id": "28980"}, {"ref": "oshanm/exploratory-analysis-rossmann", "kernel_id": "46208"}, {"ref": "rahuld/notebook-a84ffcfc9f89465b20a0", "kernel_id": "24383"}, {"ref": "timcolonel/exploring-rossmann-data", "kernel_id": "19643"}, {"ref": "hubery/a-journey-through-rossmann-stores", "kernel_id": "72284"}, {"ref": "hubery/notebook-d9eaaaa8d0bd8834111f", "kernel_id": "72311"}, {"ref": "mdomar/gbm-basic", "kernel_id": "21784"}, {"ref": "khaledfayed/rf-vis", "kernel_id": "23538"}, {"ref": "khaledfayed/xgb-t", "kernel_id": "21132"}, {"ref": "khaledfayed/xgb-r20", "kernel_id": "23787"}, {"ref": "khaledfayed/xgboost-w-custom-error-function", "kernel_id": "23766"}, {"ref": "chechir/notebook-87df5d4fd1cfc31e5f8e", "kernel_id": "29107"}, {"ref": "camwam/notebook-12acf9242e72317ce1c8", "kernel_id": "27010"}, {"ref": "tejaykodali/notebook-a5c52fae7a47e2e2bfdd", "kernel_id": "24446"}, {"ref": "user1001/a-journey-through-rossmann-stores", "kernel_id": "28128"}, {"ref": "fdeantoni/notebook-021d435fbf9fd2497612", "kernel_id": "23614"}, {"ref": "cdouay/notebook-da3a311dbc90f0b61bee", "kernel_id": "23266"}, {"ref": "cdouay/notebook-2535b201c4de5c3cc12a", "kernel_id": "26208"}, {"ref": "hoching/notebook-f4d9cef599a310cd1d4b", "kernel_id": "56703"}, {"ref": "tatanka1977/notebook-6a34972a6b4fca634db1", "kernel_id": "28037"}, {"ref": "thejuniorlebowski/notebook-606bdcac1a117dd89f82", "kernel_id": "29652"}, {"ref": "hese123/notebook-c6677e3e9c97962d63b4", "kernel_id": "21876"}, {"ref": "capeterson3/notebook-fb4bc984294632cc37b0", "kernel_id": "29164"}, {"ref": "liaopan/notebook-d070b2a0c6bd23b8f828", "kernel_id": "24091"}, {"ref": "carlcarlson/notebook-98b58eaaa0b29c096536", "kernel_id": "25312"}, {"ref": "carlcarlson/notebook-82a9375069ceefa4383c", "kernel_id": "25313"}, {"ref": "majabozic83/interactive-sales-visualization", "kernel_id": "67548"}, {"ref": "maxcon/notebook-1d9ec3e751e45eb95760", "kernel_id": "21026"}, {"ref": "pklemenkov/test1", "kernel_id": "21550"}, {"ref": "nachofolk/notebook-9f9ce27d6775237b3e6d", "kernel_id": "28278"}, {"ref": "sweeth/xyz-1", "kernel_id": "27322"}, {"ref": "ameshkov/notebook-b3948416a6c9db2d0956", "kernel_id": "20878"}, {"ref": "aivin24/notebook-15fbc07857959e8c8a29", "kernel_id": "34870"}, {"ref": "aivin24/notebook-f14e9d335b978d1b8926", "kernel_id": "34871"}, {"ref": "aivin24/notebook-4a3e06fa933c54af69b9", "kernel_id": "34872"}, {"ref": "aivin24/my-first-script", "kernel_id": "34873"}, {"ref": "rkoli1/rossman", "kernel_id": "27985"}, {"ref": "rkoli1/rossmann", "kernel_id": "28752"}, {"ref": "grober/notebook-70d14257d664f8f99133", "kernel_id": "24334"}, {"ref": "maxwestphal/notebook-439a5e5816e73dfcc33e", "kernel_id": "28642"}, {"ref": "chopra/first-try", "kernel_id": "24354"}, {"ref": "chopra/randomforestsmall", "kernel_id": "25353"}, {"ref": "chopra/notebook-f5bee7e0c8e039649eeb", "kernel_id": "27773"}, {"ref": "chopra/xgb103", "kernel_id": "27775"}, {"ref": "behrang/xgb-w-rmspe-eval-bk", "kernel_id": "19887"}, {"ref": "dnanano/notebook-962054456de1464101fb", "kernel_id": "24969"}, {"ref": "davidl6/h2o-random-forest-example-0-11967", "kernel_id": "19207"}, {"ref": "davidl6/h2o-random-forest-example-0-11578", "kernel_id": "28076"}, {"ref": "ekamioka/simple-multi-linear-regression", "kernel_id": "18689"}, {"ref": "selmiy/data-se", "kernel_id": "19814"}, {"ref": "etelliez/notebook-ba1d1d63fe459ed0e253", "kernel_id": "24558"}, {"ref": "balakumarank/testt", "kernel_id": "20641"}, {"ref": "balakumarank/notebook-748419e7e5c7f5f5eaf9", "kernel_id": "20642"}, {"ref": "abhilashawasthi/xgb-rossmann", "kernel_id": "19789"}, {"ref": "abhilashawasthi/notebook-8c811c7b3322da9c34d4", "kernel_id": "24206"}, {"ref": "abhilashawasthi/h2o-deep-learning-try", "kernel_id": "24972"}, {"ref": "thedoctor46/test-notebook", "kernel_id": "19866"}, {"ref": "chandapuramharsha/exploratory-analysis-rossmann", "kernel_id": "60791"}, {"ref": "martinmanga/exploratory-analysis-rossmann", "kernel_id": "25281"}, {"ref": "shuangnicole/a-journey-through-rossmann-stores", "kernel_id": "105794"}, {"ref": "thematttrader/median-dayofweek-benchmark", "kernel_id": "18717"}, {"ref": "thematttrader/xgb-w-rmspe-eval", "kernel_id": "18866"}, {"ref": "thematttrader/random-forest-example", "kernel_id": "18792"}, {"ref": "thematttrader/build-on-harmonic-dayofweek-benchmark", "kernel_id": "18752"}, {"ref": "eemonn/notebook-78352a97149d0bb9b5c3", "kernel_id": "23067"}, {"ref": "eemonn/notebook-d95f7eb0b467d58c972b", "kernel_id": "23065"}, {"ref": "mac475/notebook-e2de90609a6c3e368334", "kernel_id": "20387"}, {"ref": "socrates/notebook-283cddc7c27475005c37", "kernel_id": "23181"}, {"ref": "history/notebook-bf73bd6e1bbfe9641267", "kernel_id": "32852"}, {"ref": "history/notebook-168cf46dbeeb836353c6", "kernel_id": "32853"}, {"ref": "history/rossmann-py", "kernel_id": "32854"}, {"ref": "history/sales", "kernel_id": "32868"}, {"ref": "history/notebook-ca239e60abbe12e75904", "kernel_id": "32869"}, {"ref": "history/notebook-1916dc05605879a9c3b4", "kernel_id": "32870"}, {"ref": "djpittdj/notebook-7470e33fd0bb7ba7cf6d", "kernel_id": "26785"}, {"ref": "haisland0909/notebook-c9e8076c6b208d40fb57", "kernel_id": "29434"}, {"ref": "haisland0909/notebook-4a39831ba1fcd51f9c2e", "kernel_id": "29437"}, {"ref": "damiencarol/rossmann-start", "kernel_id": "27349"}, {"ref": "hayesgb/notebook-0bd95ca2810066803244", "kernel_id": "24940"}, {"ref": "hayesgb/notebook-03ebda6c63849862c8e9", "kernel_id": "27616"}, {"ref": "riccardonizzolo/notebook-4ef818c092cd9d439be4", "kernel_id": "25926"}, {"ref": "luoluox/notebook-9dcfa3a471f16329e879", "kernel_id": "22435"}, {"ref": "luoluox/testcode1", "kernel_id": "47098"}, {"ref": "luoluox/notebookdf0c113a25", "kernel_id": "198105"}, {"ref": "damienmoyne/notebook-c53e162afb93970f8271", "kernel_id": "30031"}, {"ref": "ys19931006/xgb-w-rmspe-eval", "kernel_id": "18706"}, {"ref": "ys19931006/xgb-tral", "kernel_id": "18690"}, {"ref": "ys19931006/random-forest-example", "kernel_id": "18625"}, {"ref": "ys19931006/random-forest-example11", "kernel_id": "18626"}, {"ref": "ys19931006/xgb-w-lrmspe-eval", "kernel_id": "18770"}, {"ref": "ys19931006/random-forest-example11111", "kernel_id": "18780"}, {"ref": "kevinmellott91/notebook-cf2f3daf72d81f027ea5", "kernel_id": "20528"}, {"ref": "discwv/notebook-48014faa34e963a21585", "kernel_id": "20902"}, {"ref": "neveditarai/first-model", "kernel_id": "18798"}, {"ref": "anupam1924/notebook-00ea8b88c2ae004eeb03", "kernel_id": "22881"}, {"ref": "chrisn/notebook-1fc78926f0a275b8ab20", "kernel_id": "22152"}, {"ref": "chansp/random-forest-example", "kernel_id": "22935"}, {"ref": "alexxc/xgboost-in-python-with-rmspe", "kernel_id": "22769"}, {"ref": "jahandideh/xgb-rossmann1asd", "kernel_id": "27192"}, {"ref": "neutronabsorber/regression", "kernel_id": "20860"}, {"ref": "tinkujohn/random-forest-example-0-12579", "kernel_id": "19099"}, {"ref": "starrywheat/notebook-a5801a8400f6f73a4af7", "kernel_id": "32555"}, {"ref": "sionek/xgb-rossmann", "kernel_id": "24663"}, {"ref": "albinocordeiro/trying-out-ipython", "kernel_id": "21880"}, {"ref": "albinocordeiro/notebook-9776cb73d7f49476453f", "kernel_id": "21882"}, {"ref": "albinocordeiro/notebook-33b45943a671315efed9", "kernel_id": "21883"}, {"ref": "albinocordeiro/notebook-b99f39fb7fb7bd4972ab", "kernel_id": "22231"}, {"ref": "albinocordeiro/notebook-058d210c8c2c55efba7c", "kernel_id": "22629"}, {"ref": "ercfermi/exploratory-analysis-rossmann", "kernel_id": "20416"}, {"ref": "ercfermi/notebook-d3c00f10434183e1cf4c", "kernel_id": "28644"}, {"ref": "ercfermi/h2o-random-forest-example-0-11578", "kernel_id": "28636"}, {"ref": "ercfermi/xgb-rossmann", "kernel_id": "28624"}, {"ref": "baldman/notebook-9690d84fb765cc0d4f53", "kernel_id": "22873"}, {"ref": "mhw1902/notebook-3acebde472ec65c73f41", "kernel_id": "30498"}, {"ref": "w22116972/notebook-b4515b0661487e674ba6", "kernel_id": "26869"}, {"ref": "jszymczak/test1", "kernel_id": "28437"}, {"ref": "jeddeh/exploratory-plots-by-store", "kernel_id": "18880"}, {"ref": "helloapurba/notebook-a053dd4628cf95c155e3", "kernel_id": "82160"}, {"ref": "helloapurba/a-journey-through-rossmann-stores", "kernel_id": "28653"}, {"ref": "helloapurba/notebook-a79f6b95e1f5d4730c3c", "kernel_id": "28655"}, {"ref": "helloapurba/notebook-baec4f2e9dbefd349464", "kernel_id": "28656"}, {"ref": "roshinjj/notebook-7652d4106d3f155e897e", "kernel_id": "28414"}, {"ref": "roshinjj/a-journey-through-rossmann-stores", "kernel_id": "28198"}, {"ref": "roshinjj/notebook-2cd456a53a3c61fab13c", "kernel_id": "26352"}, {"ref": "roshinjj/script-py", "kernel_id": "26353"}, {"ref": "alextselikov/a-journey-through-rossmann-stores", "kernel_id": "26935"}, {"ref": "alextselikov/notebook-9c44a50b9cb7b6e42fac", "kernel_id": "26936"}, {"ref": "alextselikov/notebook-07de0ea794909f21bdae", "kernel_id": "26937"}, {"ref": "alextselikov/notebook-f7419d5c5382147a3a22", "kernel_id": "26938"}, {"ref": "guojia/notebook-4ffc610656aed2ac5a27", "kernel_id": "26953"}, {"ref": "guojia/a-journey-through-rossmann-stores", "kernel_id": "26950"}, {"ref": "guojia/notebook-508db05cf3da9996157f", "kernel_id": "26951"}, {"ref": "guojia/notebook-335bf6415330e4f825a6", "kernel_id": "27280"}, {"ref": "ldfernan/exploratory-analysis-rossmann", "kernel_id": "21602"}, {"ref": "berenjb/notebook-9f4b766cf096eabd458f", "kernel_id": "27760"}, {"ref": "berenjb/a-journey-through-rossmann-stores", "kernel_id": "27761"}, {"ref": "berenjb/notebook-f5ec896918232ac3be5a", "kernel_id": "27762"}, {"ref": "berenjb/notebook-53407f3732861ce7a8df", "kernel_id": "27763"}, {"ref": "msaroufim/notebookc237107c98", "kernel_id": "92040"}, {"ref": "msaroufim/notebook21a6d64c5b", "kernel_id": "92066"}, {"ref": "luyaoly/xgboost-w-custom-error-function", "kernel_id": "18672"}, {"ref": "luyaoly/random-forest-example", "kernel_id": "18679"}, {"ref": "lucianolattes/notebook-76bc641ad00d25028463", "kernel_id": "24228"}, {"ref": "nazzour/a-journey-through-rossmann-stores", "kernel_id": "72593"}, {"ref": "jingtao/final", "kernel_id": "29435"}, {"ref": "jingtao/xgb-rossmann", "kernel_id": "29418"}, {"ref": "amithsha/notebook-1681d7f013d99ba4c3b8", "kernel_id": "23607"}, {"ref": "tomas789/notebook-baea5210cfa284c7708d", "kernel_id": "75801"}, {"ref": "shj997/notebook-5ee4033540bab5c3aa14", "kernel_id": "28564"}, {"ref": "shj997/xgboost-feature-importance", "kernel_id": "28565"}, {"ref": "shj997/notebook-e20f72fd58a134413b9f", "kernel_id": "28566"}, {"ref": "suryau/notebook-5a971068cc48f9b99f7e", "kernel_id": "23391"}, {"ref": "judejin/h2o-random-forest-example-0-11578", "kernel_id": "28139"}, {"ref": "phamthanhson/notebook-10844350a7a7e651b42f", "kernel_id": "28277"}, {"ref": "pratapdangeti/a-journey-through-rossmann-stores", "kernel_id": "35461"}, {"ref": "marathon54/ross-test1", "kernel_id": "22480"}, {"ref": "niks2000/notebook-f8e9f23874e3779816a6", "kernel_id": "22883"}, {"ref": "niks2000/notebook-390d78af4588dd588ada", "kernel_id": "28247"}, {"ref": "alexlzzz/xgboost-w-custom-error-function", "kernel_id": "18692"}, {"ref": "vairma/notebook-7216d35307a4433a5b71", "kernel_id": "23624"}, {"ref": "kusuma1294/exploratory-and-randomforest-cf9fb399", "kernel_id": "128072"}, {"ref": "dchen71/linear-model", "kernel_id": "19131"}, {"ref": "jals123/xgb-rossmann", "kernel_id": "26548"}, {"ref": "sanjayapadhi/notebook-a94420d4ddf08dae00cd", "kernel_id": "20859"}, {"ref": "aviralmathur1/test-script", "kernel_id": "19405"}, {"ref": "zihaozhang92/xgb-rossmann", "kernel_id": "32076"}, {"ref": "timvanwassenhove/notebook-e4088e9d779890748be1", "kernel_id": "22819"}, {"ref": "timvanwassenhove/notebook-90a4ef4d64bf56bd2fa3", "kernel_id": "22698"}, {"ref": "freerideeverynight/just-for-test", "kernel_id": "22302"}, {"ref": "appuch/trail6", "kernel_id": "22432"}, {"ref": "appuch/trail10", "kernel_id": "22448"}, {"ref": "appuch/trail2", "kernel_id": "22422"}, {"ref": "appuch/trail5", "kernel_id": "22429"}, {"ref": "appuch/randomforest-clu-na", "kernel_id": "22732"}, {"ref": "unique/notebook-d48b934a89fb2f9bbac5", "kernel_id": "21297"}, {"ref": "yurrzz/notebook-59395acb73c1957e52cf", "kernel_id": "24317"}, {"ref": "yurrzz/notebook-bac9df9715616f5336d6", "kernel_id": "24318"}, {"ref": "christophertg86/holaa", "kernel_id": "24443"}, {"ref": "spsrini/seasonplot-month", "kernel_id": "19165"}, {"ref": "xiaoyilu/exploratory-analysis-rossmann", "kernel_id": "62461"}, {"ref": "merlin101/script-test-1", "kernel_id": "25075"}, {"ref": "merlin101/notebook-67580941e49fdfabec74", "kernel_id": "24994"}, {"ref": "merlin101/tsets", "kernel_id": "24995"}, {"ref": "merlin101/notebook-2d9c61fced2b2ed5fbff", "kernel_id": "24988"}, {"ref": "caomaocao/notebookfd36e52369", "kernel_id": "157905"}, {"ref": "dmi3kno/exploratory-plots-by-store", "kernel_id": "22810"}, {"ref": "dmi3kno/interesting-stores-fixing-outliers", "kernel_id": "22885"}, {"ref": "dmi3kno/seasonplot-month", "kernel_id": "20589"}, {"ref": "dmi3kno/h2o-random-forest-with-extra-features", "kernel_id": "20611"}, {"ref": "dmi3kno/h2o-random-forest-example-0-11578", "kernel_id": "20623"}, {"ref": "dmi3kno/seasonplot-customers-per-month", "kernel_id": "21022"}, {"ref": "dmi3kno/xgb-w-rmspe-eval", "kernel_id": "21130"}, {"ref": "dmi3kno/xgb-features-from-harnalashok", "kernel_id": "24862"}, {"ref": "askaran/random-forest-example-0-12579", "kernel_id": "24561"}, {"ref": "pchitta/evtree-try", "kernel_id": "28057"}, {"ref": "pchitta/hybrid-gmdh-tslm-try", "kernel_id": "24535"}, {"ref": "pchitta/sbsrf", "kernel_id": "25515"}, {"ref": "pchitta/h2o-deep-learning-try", "kernel_id": "21250"}, {"ref": "pchitta/test-read", "kernel_id": "21473"}, {"ref": "pchitta/arima-try", "kernel_id": "23070"}, {"ref": "pchitta/sbsts-val", "kernel_id": "22964"}, {"ref": "pchitta/gmdh-try", "kernel_id": "23307"}, {"ref": "pchitta/sbsts", "kernel_id": "22457"}, {"ref": "icastro/xgb-rossmann", "kernel_id": "20281"}, {"ref": "tiger2004011471/random-forest-notebook", "kernel_id": "21423"}, {"ref": "ramamohand/notebook-6f50187ce260abb4d487", "kernel_id": "65109"}, {"ref": "ramamohand/exploratory-and-randomforest", "kernel_id": "65113"}, {"ref": "ramamohand/a-journey-through-rossmann-stores", "kernel_id": "65114"}, {"ref": "ramamohand/h2o-random-forest-example-0-11578", "kernel_id": "21124"}, {"ref": "michaellampe/notebook-3e1de9ba3e6ae37e1c06", "kernel_id": "23395"}, {"ref": "rmasoc/notebook-84af80a8b6063c5e320e", "kernel_id": "20437"}, {"ref": "drizzt/choosing-estimator", "kernel_id": "24011"}, {"ref": "sicklaif/notebook-0927777cf2e3edcda7fb", "kernel_id": "20728"}, {"ref": "sanjeev300/exploratory-and-randomforest", "kernel_id": "58260"}, {"ref": "sanjeev300/notebook-16d32a8578530437a751", "kernel_id": "58262"}, {"ref": "sanjeev300/notebook-762c8f4df35731b95fc7", "kernel_id": "58263"}, {"ref": "sanjeev300/notebook-77d97bd6d63885f483d6", "kernel_id": "58265"}, {"ref": "ps2811/exploratory-analysis-rossmann", "kernel_id": "20862"}, {"ref": "knottb/predict-sales-with-pandas-py", "kernel_id": "20760"}, {"ref": "knottb/notebook-c1f10fad6ce4196fa757", "kernel_id": "20761"}, {"ref": "knottb/notebook-2efe1bb604073ddd38a8", "kernel_id": "20762"}, {"ref": "knottb/notebook-f15241b16f45f509aea1", "kernel_id": "20763"}, {"ref": "knottb/notebook-16087773c0def7f828b8", "kernel_id": "20764"}, {"ref": "knottb/rossman", "kernel_id": "20765"}, {"ref": "knottb/test-notmine", "kernel_id": "27822"}, {"ref": "tulindanil/notebook-48b0137f0b5083aae788", "kernel_id": "20562"}, {"ref": "andfor/a-boring-test", "kernel_id": "20233"}, {"ref": "andfor/another-boring-test", "kernel_id": "20235"}, {"ref": "madity/notebook-176d3ccdf0414283d70b", "kernel_id": "24017"}, {"ref": "tamal059/check", "kernel_id": "32505"}, {"ref": "hardeeparora/xgboost-feature-importance", "kernel_id": "28246"}, {"ref": "mariannev/notebook-a4d0d4684862733e853b", "kernel_id": "22421"}, {"ref": "mariannev/notebook-1bf743ed16fb085121fe", "kernel_id": "22398"}, {"ref": "shabaaaa/notebook-95ca14bcfcec609b6b7a", "kernel_id": "22420"}, {"ref": "rusticodanan/h2o-random-forest-example-0-11578", "kernel_id": "22412"}, {"ref": "rusticodanan/trying-out-ipython", "kernel_id": "22406"}, {"ref": "rusticodanan/h20-rf-trial", "kernel_id": "22514"}, {"ref": "rusticodanan/notebook-4d142edcdbf8ceea5f12", "kernel_id": "22399"}, {"ref": "rusticodanan/notebook-d9456752761ffc20c05d", "kernel_id": "22400"}, {"ref": "rusticodanan/notebook-5bfc54c2e91abc7d70b2", "kernel_id": "22401"}, {"ref": "rusticodanan/notebook-cee5c46fd5a3687a0f18", "kernel_id": "22403"}, {"ref": "rusticodanan/exploratory-and-randomforest", "kernel_id": "22390"}, {"ref": "rusticodanan/notebook-762e69644cc9477de288", "kernel_id": "22393"}, {"ref": "rusticodanan/notebook-f050b9a806c5b521dda4", "kernel_id": "22397"}, {"ref": "shrikeler/a-journey-through-rossmann-stores", "kernel_id": "25455"}, {"ref": "lizzy2015/notebook-3d1b2ed276e94e9cb4f6", "kernel_id": "27873"}, {"ref": "altay92/notebook-dfe0937cc7973de69717", "kernel_id": "46941"}, {"ref": "hirendrathakur/rossmann", "kernel_id": "22879"}, {"ref": "tmjiang/notebook-4b8f0e3f4dd2cad261b1", "kernel_id": "21964"}, {"ref": "tmjiang/notebook-781d92598cafdf1b646c", "kernel_id": "21965"}, {"ref": "tmjiang/observation", "kernel_id": "21966"}, {"ref": "tmjiang/observe", "kernel_id": "21962"}, {"ref": "ananya77041/randomforestpython", "kernel_id": "18825"}, {"ref": "bavarianquant/notebook-bd2cce2e55f9244b1dc3", "kernel_id": "27625"}, {"ref": "gomiero/julia-random-forest-first-try", "kernel_id": "20385"}, {"ref": "weewey/a-journey-through-rossmann-stores", "kernel_id": "33095"}, {"ref": "weewey/notebook-287d026e380ff332860e", "kernel_id": "24829"}, {"ref": "zeliek/notebook-305364352226d0ec4a64", "kernel_id": "21855"}, {"ref": "remiprbt/a-journey-through-rossmann-stores", "kernel_id": "28789"}, {"ref": "ululkag/totoaa", "kernel_id": "21884"}, {"ref": "gau2112/predict-sales-with-pandas-py", "kernel_id": "52879"}, {"ref": "msattlecker/h2o-random-forest-example-0-11578", "kernel_id": "23220"}, {"ref": "wwdxfa/notebook-7308097c85abbde77d67", "kernel_id": "32959"}, {"ref": "wangyajun/notebook-b69bb045529e848ab6e3", "kernel_id": "21238"}, {"ref": "pdragy/xgb-rossmann2", "kernel_id": "25078"}, {"ref": "envymyfieldsmedal/notebook-bcd9837978b1018a26e8", "kernel_id": "22180"}, {"ref": "raddar/xgboost-w-custom-error-function", "kernel_id": "18647"}, {"ref": "raddar/random-forest-example", "kernel_id": "18654"}, {"ref": "jjward/notebook-0466dabaf330f85e84ff", "kernel_id": "29320"}, {"ref": "ajayjadhav/notebook-e30a3b0aa9de215d44a9", "kernel_id": "29246"}, {"ref": "ajayjadhav/12modelswithstype-assort", "kernel_id": "29241"}, {"ref": "qqgeogor/qq-testing", "kernel_id": "21874"}, {"ref": "anfego/notebook-60a334eaa2c641ce2854", "kernel_id": "22755"}, {"ref": "anfego/time-series-linear-models-tslm", "kernel_id": "22790"}, {"ref": "acommodus/notebook-484ce86f9e0ab9928dfe", "kernel_id": "28068"}, {"ref": "cfagan101/notebook-ecbdcb85426b739dd7f1", "kernel_id": "26346"}, {"ref": "menglinghettinger/notebook-8b5f5bdba5b3f0847bed", "kernel_id": "36188"}, {"ref": "varunpurohit76/27-10-2800", "kernel_id": "22345"}, {"ref": "varunpurohit76/01-11-3200", "kernel_id": "22768"}, {"ref": "haopeng/a-journey-through-rossmann-stores", "kernel_id": "25608"}, {"ref": "haopeng/notebook-fd79f3439d9a6157f9a3", "kernel_id": "25609"}, {"ref": "haopeng/notebook-de20d2de07ee98a6a839", "kernel_id": "25610"}, {"ref": "haopeng/notebook-0b8ef5ca350000a54489", "kernel_id": "25611"}, {"ref": "haopeng/notebook-696dff5326fbe0023f7a", "kernel_id": "25612"}, {"ref": "haopeng/notebook-0a4c69323b76a6582b2f", "kernel_id": "25613"}, {"ref": "haopeng/script", "kernel_id": "23933"}, {"ref": "haopeng/notebook-0ce93578217c9e64fb10", "kernel_id": "23934"}, {"ref": "namakemono/xgb-rossmann", "kernel_id": "20360"}, {"ref": "qichaotang97/rossmann-store-sales", "kernel_id": "24272"}, {"ref": "qichaotang97/notebook-b0c6abe9e10a43491f6d", "kernel_id": "24273"}, {"ref": "qichaotang97/notebook-948ca09fb048cc25b1ea", "kernel_id": "24282"}, {"ref": "beteemde/notebook-aadbcafa0de85673faa5", "kernel_id": "22462"}, {"ref": "beteemde/notebook-4eb82fde6c002eb2920a", "kernel_id": "22463"}, {"ref": "prinkesh/predict-sales-with-pandas-py", "kernel_id": "21407"}, {"ref": "lifepreserver/notebook-8c40e50136661e39d4a0", "kernel_id": "22169"}, {"ref": "lifepreserver/notebook-229ffa6c8f185b036180", "kernel_id": "25051"}, {"ref": "jayr110/notebook-c4826385ca7209b7fc2f", "kernel_id": "22284"}, {"ref": "jayr110/r-hello", "kernel_id": "22839"}, {"ref": "chenxuhui/notebook-81d8b7f817409845072c", "kernel_id": "22294"}, {"ref": "chenxuhui/notebook-10405bf2a0b7709b8c9c", "kernel_id": "23472"}, {"ref": "meissnereric/notebook-09c49805bc8639c4d80d", "kernel_id": "22334"}, {"ref": "loknar/submission-files-blender", "kernel_id": "23084"}, {"ref": "johnsonwu/johnsonwu-test", "kernel_id": "33887"}, {"ref": "wangyx05/notebook-35e37c702a7029aa5a18", "kernel_id": "26639"}, {"ref": "wangyx05/notebook-f00f1f4943741b525952", "kernel_id": "26640"}, {"ref": "wangyx05/fdfeerfdfdft", "kernel_id": "26641"}, {"ref": "wangyx05/xgboost-extra-features", "kernel_id": "29167"}, {"ref": "kaggle4/test1", "kernel_id": "21746"}, {"ref": "lrstnd/notebook-4149684f5a5ecf16767c", "kernel_id": "25375"}, {"ref": "lrstnd/testing-rossmann", "kernel_id": "25376"}, {"ref": "napieratore/notebook-3aa0ed6554ce3c853ae8", "kernel_id": "25512"}, {"ref": "anandprakash/randomf", "kernel_id": "21830"}, {"ref": "lihao814386741/first-try", "kernel_id": "20145"}, {"ref": "lihao814386741/xgboost-in-python-with-rmspe", "kernel_id": "28826"}, {"ref": "lihao814386741/notebook-7bd32d86fcb1b51af39e", "kernel_id": "28828"}, {"ref": "soerendip/notebook-69f63567c81539a4e4c6", "kernel_id": "23304"}, {"ref": "soerendip/xgboost", "kernel_id": "23306"}, {"ref": "soerendip/notebook-b08875d66645527f24fc", "kernel_id": "28126"}, {"ref": "soerendip/notebook-11388dd664b7929fb539", "kernel_id": "28112"}, {"ref": "soerendip/xgbwithclustering", "kernel_id": "28113"}, {"ref": "pgurov/gurov-rossmann-py", "kernel_id": "29462"}, {"ref": "pgurov/notebook-0270a022e5a7d607ff10", "kernel_id": "29465"}, {"ref": "bnpchm14/notebook-63a510d5563ef790b5e3", "kernel_id": "26677"}, {"ref": "wangq17/random-forest-example", "kernel_id": "21644"}, {"ref": "emehdad/time-series-linear-models-tslm", "kernel_id": "20050"}, {"ref": "kangshifu/notebook-550afa5e7ae2f1bf06e7", "kernel_id": "23728"}, {"ref": "gagik8/notebook-904ce6a1f116f8339f38", "kernel_id": "25400"}, {"ref": "pararols/h2o-random-forest-example-0-11578", "kernel_id": "23126"}, {"ref": "pararols/xgb-w-rmspe-eval", "kernel_id": "23080"}, {"ref": "pararols/xgb-features", "kernel_id": "28163"}, {"ref": "pararols/promointerval-xgboost", "kernel_id": "28601"}, {"ref": "h36ahmed/notebook-e56bd51687828c536d42", "kernel_id": "28951"}, {"ref": "michaelfan/xgboost-1", "kernel_id": "25202"}, {"ref": "aaronpennington/xgb-w-rmspe-eval", "kernel_id": "18888"}, {"ref": "aaronpennington/random-forest-example-0-12579", "kernel_id": "18805"}, {"ref": "aaronpennington/random-forest-2", "kernel_id": "18817"}, {"ref": "adambear88/xgboost-feature-importance", "kernel_id": "26626"}, {"ref": "huili0140/random-forest-with-h2o", "kernel_id": "23795"}, {"ref": "huili0140/random-forest", "kernel_id": "21155"}, {"ref": "bbhore/notebook-8886db6c9f05daea5b7e", "kernel_id": "27586"}, {"ref": "bbhore/notebook-80ff1819b022a169db69", "kernel_id": "27587"}, {"ref": "bbhore/rossman", "kernel_id": "27588"}, {"ref": "bbhore/notebook-4c69cfb647049a1eebc9", "kernel_id": "27589"}, {"ref": "pitronalldak/notebook-fab25d73429a0e2193cd", "kernel_id": "20502"}, {"ref": "mickeylyh/h2o-random-forest-example-0-11578", "kernel_id": "21317"}, {"ref": "mickeylyh/random-forest-example-0-12579", "kernel_id": "21318"}, {"ref": "mickeylyh/randomforestpython", "kernel_id": "21320"}, {"ref": "stlstl/testr", "kernel_id": "32518"}, {"ref": "stlstl/first-test-script", "kernel_id": "28695"}, {"ref": "jschengcong/a-journey-through-rossmann-stores", "kernel_id": "226974"}, {"ref": "petrbolotin/notebook-f5111e550ff698f4ef4f", "kernel_id": "20584"}, {"ref": "fdhalluin/tutorial", "kernel_id": "25965"}, {"ref": "keizer/notebook-111e41e24f9fb338d1f5", "kernel_id": "22423"}, {"ref": "wtichen/notebook-49e709d9f30ea5fdbdd5", "kernel_id": "26491"}, {"ref": "wtichen/notebook-35a550cb6a0700f09678", "kernel_id": "23412"}, {"ref": "wtichen/notebook-85ed696bdbe7d47cc5f8", "kernel_id": "23508"}, {"ref": "wtichen/notebook-5dbfdeddc2bb1d66b533", "kernel_id": "23509"}, {"ref": "wtichen/first-try", "kernel_id": "23510"}, {"ref": "wtichen/wtichen", "kernel_id": "23541"}, {"ref": "mztian/random-forest-example1", "kernel_id": "22155"}, {"ref": "mztian/random-forest-example", "kernel_id": "22118"}, {"ref": "whaler/notebook-aac4d9cc34e04adf0337", "kernel_id": "23398"}, {"ref": "ajayrames/notebook-26388a64ccafa61c95b8", "kernel_id": "28211"}, {"ref": "ajayrames/notebook-f878dc4b4b426a0ba177", "kernel_id": "28215"}, {"ref": "timvancann/notebook-0835583146901aea3ca6", "kernel_id": "21709"}, {"ref": "tianyeeee/xgb-rossmann", "kernel_id": "21982"}, {"ref": "cadang/notebook-e48a90c79cb0bcc6010d", "kernel_id": "22760"}, {"ref": "zxzjim/notebooke720fc930e", "kernel_id": "107972"}, {"ref": "leonardini/notebook-ae3d5ea6d3e055eea887", "kernel_id": "22679"}, {"ref": "leonardini/notebook-9ac5ee19c59a76f06153", "kernel_id": "22681"}, {"ref": "robinsingh/sales-predict", "kernel_id": "23681"}, {"ref": "eidanch/notebook-3192bbfbc738dc3c228d", "kernel_id": "25351"}, {"ref": "muthamilmukilan/h2o-random-forest-example", "kernel_id": "18932"}, {"ref": "valerossi46/lontroneboostv2", "kernel_id": "29141"}, {"ref": "valerossi46/test-con-random-forest", "kernel_id": "28925"}, {"ref": "valerossi46/test-1", "kernel_id": "20276"}, {"ref": "ctaodg/notebook-292ae00ba27aa2baafc1", "kernel_id": "27841"}, {"ref": "pregolima/notebook-061ea92bc12ba9645909", "kernel_id": "27903"}, {"ref": "attashe/notebook-a413cc957d85dee30e9b", "kernel_id": "21911"}, {"ref": "lilithasya/test-ay", "kernel_id": "20535"}, {"ref": "lilithasya/notebook-42d63086cdf28d6628bf", "kernel_id": "20536"}, {"ref": "lilithasya/notebook-9c2d22768c5a20f7158c", "kernel_id": "20537"}, {"ref": "lilithasya/notebook-2b213230938e09f4dc0f", "kernel_id": "20538"}, {"ref": "lilithasya/python-xgboost-0-10567-0-10655", "kernel_id": "20539"}, {"ref": "lilithasya/notebook-a2dafbfd554067066537", "kernel_id": "20543"}, {"ref": "samsmen/notebook-2748663f97d6bc4da4a8", "kernel_id": "21895"}, {"ref": "anandbr/randomforestpython", "kernel_id": "19086"}, {"ref": "seiodongyun/notebook-e5d0f8ee0087fc8f8157", "kernel_id": "25377"}, {"ref": "achenzion/test-1", "kernel_id": "20401"}, {"ref": "achenzion/notebook-0553712898221a610888", "kernel_id": "20402"}, {"ref": "achenzion/notebook-c1547c665b8149bafcb4", "kernel_id": "20403"}, {"ref": "yuhfenglin/notebook-e52492c9bc2efb001314", "kernel_id": "23724"}, {"ref": "dm201516/notebook-9da59154f7858758dfc4", "kernel_id": "29322"}, {"ref": "vshmanov/randomforestpython", "kernel_id": "19414"}, {"ref": "dkant75/testing", "kernel_id": "23366"}, {"ref": "adilshv/a-journey-through-rossmann-stores", "kernel_id": "29093"}, {"ref": "adilshv/notebook-1505103bf977eccc86b2", "kernel_id": "29291"}, {"ref": "adilshv/notebook-cdbdc36ae789983068c9", "kernel_id": "29293"}, {"ref": "adilshv/notebook-8706c6439793cacf24b2", "kernel_id": "29294"}, {"ref": "adilshv/notebook-c43f5839ab9998c487b3", "kernel_id": "29295"}, {"ref": "adilshv/notebook-1d172547fc43abd0d3d0", "kernel_id": "29296"}, {"ref": "desuanuroop/demopy", "kernel_id": "27952"}, {"ref": "desuanuroop/demopy1", "kernel_id": "27953"}, {"ref": "desuanuroop/demopy2", "kernel_id": "27955"}, {"ref": "desuanuroop/demopy3", "kernel_id": "27957"}, {"ref": "desuanuroop/demo5", "kernel_id": "30303"}, {"ref": "arturb/notebook-cd1e3337beb14c258944", "kernel_id": "20710"}, {"ref": "arturb/notebook-4971547a4a83f46b125a", "kernel_id": "20711"}, {"ref": "jacospa/notebook-52276618774fc08415a1", "kernel_id": "27096"}, {"ref": "jacospa/notebook-199a4a9ab921f9d2d8c4", "kernel_id": "27294"}, {"ref": "jacospa/test12", "kernel_id": "27295"}, {"ref": "jacospa/test123", "kernel_id": "27296"}, {"ref": "sisira/build-on-median-dayofweek-benchmark", "kernel_id": "21682"}, {"ref": "sisira/store-features", "kernel_id": "25445"}, {"ref": "sisira/storefeatures", "kernel_id": "25446"}, {"ref": "yuenyuenwha/time-series-linear-models-tslm", "kernel_id": "20962"}, {"ref": "erm93ct/seasonal-na-ve-model-score-0-19026", "kernel_id": "21917"}, {"ref": "saghapour/v02-h2o-random-forest", "kernel_id": "21325"}, {"ref": "saghapour/v03-h2o-random-forest", "kernel_id": "21335"}, {"ref": "saghapour/v03-h2o-rf", "kernel_id": "21355"}, {"ref": "saghapour/h2o-random-forest-example-0-11578", "kernel_id": "20914"}, {"ref": "saghapour/edit-random-forest", "kernel_id": "21126"}, {"ref": "shuklaham/notebook-6a25691b60ab49862da6", "kernel_id": "20395"}, {"ref": "wenxuanmo/basic-visualization", "kernel_id": "110936"}, {"ref": "wenxuanmo/exploratory-and-randomforest", "kernel_id": "110946"}, {"ref": "wenxuanmo/a-journey-through-rossmann-stores", "kernel_id": "110948"}, {"ref": "zxxr1234/filling-gaps-in-the-training-set", "kernel_id": "22150"}, {"ref": "zxxr1234/cubist-with-sales", "kernel_id": "22262"}, {"ref": "jeschkeit/notebook-6d2c8011e1553d0b831c", "kernel_id": "22870"}, {"ref": "yimingqian/notebook-dbfce1f819c2cbfd38c3", "kernel_id": "21944"}, {"ref": "mannenbach/exploratory-analysis-rossmann", "kernel_id": "20674"}, {"ref": "glj898932/testtest", "kernel_id": "26389"}, {"ref": "vgediger/try1def", "kernel_id": "25310"}, {"ref": "josemartinez/notebook-c95da16db1ac974afe3e", "kernel_id": "21030"}, {"ref": "josemartinez/notebook-faf9dfa00334b4cb7703", "kernel_id": "21031"}, {"ref": "herka1/notebook-451593ce2a1aaa2f40fc", "kernel_id": "34749"}, {"ref": "happysaul/notebook-41a3daa2fbc081ddbb7b", "kernel_id": "20909"}, {"ref": "shearerp/store-dayofweek-promo-0-13952", "kernel_id": "21533"}, {"ref": "shearerp/notebook-b9a60e53c30391bec814", "kernel_id": "22172"}, {"ref": "shearerp/shiny-test", "kernel_id": "22206"}, {"ref": "shearerp/interactive-sales-visualization", "kernel_id": "22567"}, {"ref": "itsmattmp/notebook-041ec3d5283f9994934a", "kernel_id": "21359"}, {"ref": "masacoba/notebook-d2513a51539db6794bdc", "kernel_id": "28631"}, {"ref": "masacoba/notebook-579e9a4b97946b193247", "kernel_id": "28632"}, {"ref": "ikdd01/test99999", "kernel_id": "23862"}, {"ref": "ikdd01/xgboost-in-python-with-rmspe", "kernel_id": "23837"}, {"ref": "ikdd01/notebook-1bc9cb741a11a731830e", "kernel_id": "23796"}, {"ref": "ikdd01/notebook-060afa25c4a6122c9620", "kernel_id": "23797"}, {"ref": "pdnoah/notebook-bdd41566ead0815c8f81", "kernel_id": "25749"}, {"ref": "stephaneleo/notebook-57639e4758585a5846f8", "kernel_id": "21513"}, {"ref": "sanketss/a-journey-through-rossmann-stores", "kernel_id": "31998"}, {"ref": "sylvesterchiang/notebook-e9eacf0464a4ad62e971", "kernel_id": "21618"}, {"ref": "theashwanigupta/notebook-1b64cb7b0482e38d0738", "kernel_id": "44799"}, {"ref": "robincram/notebook-5a6935c367ab6a87fe8d", "kernel_id": "21802"}, {"ref": "robincram/notebook-9122daed3e5eb87e832b", "kernel_id": "21803"}, {"ref": "maggiebvich/xgboost-feature-importance", "kernel_id": "21972"}, {"ref": "czmie6l/script1", "kernel_id": "23535"}, {"ref": "vipindas/notebook-446c6966fdea4c440793", "kernel_id": "24188"}, {"ref": "mordoobadi/rossmann-stores-first-attempt", "kernel_id": "24195"}, {"ref": "mordoobadi/notebook-755db70fd9939dce7e72", "kernel_id": "24381"}, {"ref": "saeedeivazi/notebook-1102bfe44dc80e4ffd58", "kernel_id": "25063"}, {"ref": "ikdd09/notebook-e081c5482cb276e0d392", "kernel_id": "22551"}, {"ref": "frankinhd/notebook-4bd48391685f16dd1953", "kernel_id": "22275"}, {"ref": "shayanfallahi/notebook-a1fe6f94fda9be988624", "kernel_id": "28284"}, {"ref": "vagrantguy/notebookd248f1083e", "kernel_id": "136632"}, {"ref": "jjjjbbbbb/notebook-78ac81976568c7f530ef", "kernel_id": "24162"}, {"ref": "omarelgabry/a-journey-through-rossmann-stores", "kernel_id": "24315"}, {"ref": "omarelgabry/notebook-29cb7604d61511743fca", "kernel_id": "24434"}, {"ref": "omarelgabry/notebook-517115a70bda5b5bd1f5", "kernel_id": "24425"}, {"ref": "lotus2you/notebook-1199ee40045968b54592", "kernel_id": "22620"}, {"ref": "liquidcode/basic-visualization", "kernel_id": "23144"}, {"ref": "belovedcong/predict-sales-with-pandas-py", "kernel_id": "22508"}, {"ref": "belovedcong/notebook-0e074f08ebfd08b9a011", "kernel_id": "22509"}, {"ref": "reneboy/notebook-4939ba3b228001301edf", "kernel_id": "23965"}, {"ref": "briang/notebook-917e0233f3c8178cdf6a", "kernel_id": "22534"}, {"ref": "briang/exploratory-and-randomforest", "kernel_id": "22532"}, {"ref": "vdsharma/notebook-d9eb1241c4692e6c6640", "kernel_id": "28801"}, {"ref": "vdsharma/myscript", "kernel_id": "28802"}, {"ref": "kellyjimenez/notebook-5a96fbfd141424e5dbe1", "kernel_id": "23033"}, {"ref": "giovannilio/notebook-ed59ed124cc3059fdb03", "kernel_id": "29815"}, {"ref": "yhow20/test1", "kernel_id": "22711"}, {"ref": "novalimabnh/xgb-w-rmspe-eval", "kernel_id": "26285"}, {"ref": "luigiassenza/notebook-196f91369f8e2a940496", "kernel_id": "27659"}, {"ref": "luigiassenza/notebook-30703fa431fcf708cd13", "kernel_id": "27660"}, {"ref": "luigiassenza/simple-model-with-tree-library", "kernel_id": "27662"}, {"ref": "daimerchrysler17/fix-the-rmpse", "kernel_id": "25053"}, {"ref": "cpdoug/notebook-0e4588416f396ab42ff9", "kernel_id": "24762"}, {"ref": "piekit/first", "kernel_id": "27682"}, {"ref": "piekit/notebook-cc05c03da7cb600ed913", "kernel_id": "27683"}, {"ref": "studiocardo/rossmann", "kernel_id": "24053"}, {"ref": "jeccanarvasa1/notebook-ef56ea1d251fab7fe540", "kernel_id": "23305"}, {"ref": "rumeysamus/exploratory-analysis-rossmann", "kernel_id": "254508"}, {"ref": "nickyua/notebook-08bebf8c1f4be992861b", "kernel_id": "24863"}, {"ref": "nickyua/notebook-6947be5afa81b5f190e0", "kernel_id": "24956"}, {"ref": "shirejr/notebook-36b7457c01f583799f86", "kernel_id": "25360"}, {"ref": "shirejr/notebook-f5d20cfc423ae38db20f", "kernel_id": "25131"}, {"ref": "shirejr/notebook-09a654c55558b0a54058", "kernel_id": "25200"}, {"ref": "shirejr/notebook-573fdb193e76d65b23b3", "kernel_id": "24553"}, {"ref": "shirejr/test12", "kernel_id": "24551"}, {"ref": "archypkosh/tacoo", "kernel_id": "24823"}, {"ref": "dcorti/myfsfsfs", "kernel_id": "35315"}, {"ref": "sshaider/notebook-1b06cbcf8aeb51b0eefa", "kernel_id": "23894"}, {"ref": "xiaobunuo/notebook-db034596723be3764c25", "kernel_id": "23263"}, {"ref": "gokul180288/notebook-f7367b448858a0e313ea", "kernel_id": "30839"}, {"ref": "asligizem/title", "kernel_id": "23342"}, {"ref": "wchjd2010/notebook-9f383b4403b5cf8e175a", "kernel_id": "23461"}, {"ref": "tonythai/notebook-bdc209bfa2af6ce79f66", "kernel_id": "24552"}, {"ref": "martyna/notebook-b01e0d577b21efe07bfd", "kernel_id": "23532"}, {"ref": "martyna/notebook-d4a0ff8367b0dddb5939", "kernel_id": "23533"}, {"ref": "martyna/notebook-9e7c03cdafe10f4ddbc7", "kernel_id": "23534"}, {"ref": "svehol/notebook-8da1476b1d27eb61780a", "kernel_id": "25199"}, {"ref": "amanrastogi/asdasdasdasd", "kernel_id": "27837"}, {"ref": "amanrastogi/amanr", "kernel_id": "27839"}, {"ref": "tobiri27/notebook-97e468219f4140fc4a99", "kernel_id": "24522"}, {"ref": "ftmunlu/notebook-25503a0da47b7fdadd83", "kernel_id": "30181"}, {"ref": "atmajit/notebook-6e987c9380cb2fef8e55", "kernel_id": "24024"}, {"ref": "ahila36/notebook-7b9a9a568bbef5642226", "kernel_id": "23890"}, {"ref": "kostevik/notebook-132dd1dfb0b9fef149d3", "kernel_id": "25793"}, {"ref": "ivonwang/notebook-5f195a1d5987dcb6a0d7", "kernel_id": "23981"}, {"ref": "hiterstone/xgb-rossmann", "kernel_id": "191795"}, {"ref": "hiterstone/exploratory-analysis-rossmann", "kernel_id": "190913"}, {"ref": "hiterstone/a-journey-through-rossmann-stores", "kernel_id": "190917"}, {"ref": "hiterstone/rossmann-store-insights", "kernel_id": "190953"}, {"ref": "kvarga/a-journey-through-rossmann-stores", "kernel_id": "26335"}, {"ref": "kvarga/notebook-ea330f811c6309209bb0", "kernel_id": "26336"}, {"ref": "kvarga/notebook-9082e9166418b224afca", "kernel_id": "26337"}, {"ref": "kvarga/notebook-40dc16359074cf600a6c", "kernel_id": "26338"}, {"ref": "kvarga/notebook-d8612d62ecb89c0de944", "kernel_id": "26339"}, {"ref": "kvarga/notebook-ca14d5060887abe42154", "kernel_id": "26340"}, {"ref": "kvarga/notebook-e02c6c45d37194c3bb84", "kernel_id": "26342"}, {"ref": "darkhoos/notebook-851f449270643de5605b", "kernel_id": "28906"}, {"ref": "darkhoos/notebook-d20820e89f895347d3f6", "kernel_id": "28895"}, {"ref": "darkhoos/notebook-884e29c82c7113377dfc", "kernel_id": "28791"}, {"ref": "kehanghan/trial", "kernel_id": "24475"}, {"ref": "wangxiao/h2o-random-forest-example-0-11578", "kernel_id": "24742"}, {"ref": "wangxiao/test-ranfor", "kernel_id": "25603"}, {"ref": "dfinlen/notebook-957670a0d225a0b33545", "kernel_id": "26461"}, {"ref": "hadihasanii/xgb-rossmann", "kernel_id": "27038"}, {"ref": "tunhuh95/notebook-00728540ba22725e45f7", "kernel_id": "25285"}, {"ref": "huizhuwang/notebook-27420920c62a7f1273da", "kernel_id": "25229"}, {"ref": "huizhuwang/notebook-15e16a352ada6b38f942", "kernel_id": "25231"}, {"ref": "druzizlisu/notebook-1b17a2f8535d0dfd1f19", "kernel_id": "25112"}, {"ref": "druzizlisu/exploratory-analysis-rossmann", "kernel_id": "25113"}, {"ref": "druzizlisu/notebook-8136cd34417d6ef630d9", "kernel_id": "31452"}, {"ref": "saliluna/firstgo", "kernel_id": "24881"}, {"ref": "saliluna/notebook-ec1f8705f43df115bad2", "kernel_id": "24986"}, {"ref": "statsfuntime/notebook-5b08d7348545648ec891", "kernel_id": "38254"}, {"ref": "mattseal/notebook-b1859ca92a819db936cc", "kernel_id": "25094"}, {"ref": "rickyag/exploratory-analysis-rossmann-1", "kernel_id": "48004"}, {"ref": "mishupub/firsttry", "kernel_id": "25368"}, {"ref": "nassimus/rossman-r-first-try", "kernel_id": "27340"}, {"ref": "uttara/note2kaggle", "kernel_id": "25432"}, {"ref": "huzyfee/exploratory-analysis-rossmann", "kernel_id": "32065"}, {"ref": "atillae/notebook-b43d144f5b815dd287b6", "kernel_id": "25568"}, {"ref": "wilscorrigan/notebook-e85aef0f34b9f05a8cc3", "kernel_id": "25628"}, {"ref": "giftchiu/notebook-1edcf04cf51adda478c6", "kernel_id": "25851"}, {"ref": "arifbacker/notebook-2a93906a79614687a537", "kernel_id": "25979"}, {"ref": "arifbacker/notebook-80131e245cc62065b65a", "kernel_id": "25980"}, {"ref": "gilton/exploring-rossmann-data", "kernel_id": "28364"}, {"ref": "gilton/notebook-ed8ad39983a3332757e3", "kernel_id": "28365"}, {"ref": "nsapru/notebook-984cadd865e22835f6d5", "kernel_id": "26033"}, {"ref": "morrita/notebook-bb8ad945d1ebcdee1367", "kernel_id": "31782"}, {"ref": "vishanta/notebook-641a2b57b6d3572bd458", "kernel_id": "26915"}, {"ref": "jvmkumar/notebook-767dd340f299ae0d9ddb", "kernel_id": "27265"}, {"ref": "michaelkhayyat/notebook-faf80d7ec61105e38aae", "kernel_id": "28705"}, {"ref": "michaelkhayyat/notebook-555ff778f045d6e633aa", "kernel_id": "27554"}, {"ref": "michaelkhayyat/notebook-acac43b6815d80076ca5", "kernel_id": "27555"}, {"ref": "michaelkhayyat/notebook-855dfe4c4d3799ee8038", "kernel_id": "27557"}, {"ref": "michaelkhayyat/notebook-abb2e23e91a7e425ea6e", "kernel_id": "27558"}, {"ref": "chippp/ddsss", "kernel_id": "27442"}, {"ref": "grafblutwurst/basic-visualization", "kernel_id": "27882"}, {"ref": "skylabreddy/notebook-06593603dd34d8b94cc0", "kernel_id": "27488"}, {"ref": "skylabreddy/test4now", "kernel_id": "27489"}, {"ref": "skylabreddy/notebook-a1e140c6941efe856612", "kernel_id": "36645"}, {"ref": "skylabreddy/testfor-asset", "kernel_id": "36646"}, {"ref": "jgcasatejada/notebook-ce604f4125288d39e360", "kernel_id": "27562"}, {"ref": "jgcasatejada/notebook-18944882a3f611dd68a5", "kernel_id": "27563"}, {"ref": "irabin/notebook-189054ecff6eb421c038", "kernel_id": "29057"}, {"ref": "vaibhavlaturkar/retail-store-eda", "kernel_id": "150420"}, {"ref": "vaibhavlaturkar/notebook14d7688e1e", "kernel_id": "150631"}, {"ref": "vaibhavlaturkar/fork-of-notebook3ce9530c8b", "kernel_id": "150650"}, {"ref": "rspatil/notebook-59fc3aff17da1f02ecb2", "kernel_id": "27923"}, {"ref": "jacopobozzi/exploratory-analysis-rossmann", "kernel_id": "27949"}, {"ref": "grigri/test1", "kernel_id": "28351"}, {"ref": "maggiec/xgboost-feature-importance", "kernel_id": "28569"}, {"ref": "maggiec/notebook-9b6d711c08e13924c5a0", "kernel_id": "28575"}, {"ref": "jjionee/notebook497a2c3473", "kernel_id": "131809"}, {"ref": "jjionee/notebookffc472cd6b", "kernel_id": "127597"}, {"ref": "mmudaliar/feature-selection-in-h2o-gbm", "kernel_id": "29179"}, {"ref": "sidneytest/notebook-a475d007f37c6b56b638", "kernel_id": "28776"}, {"ref": "allenpeng/a-journey-through-rossmann-stores", "kernel_id": "184457"}, {"ref": "pcs5088/notebook-78b9a4c643c3a6dd7a05", "kernel_id": "29301"}, {"ref": "machinared/xgb-rossmann", "kernel_id": "29216"}, {"ref": "nvnklk/a-journey-through-rossmann-stores", "kernel_id": "29220"}, {"ref": "saitejadatascientist/exploratory-and-randomforest", "kernel_id": "130908"}, {"ref": "maoyue2004/a-journey-through-rossmann-stores", "kernel_id": "44934"}, {"ref": "soledad89/notebook-f8c9d848f47a9a087e12", "kernel_id": "29720"}, {"ref": "patternproject/a-journey-through-rossmann-stores", "kernel_id": "38039"}, {"ref": "patternproject/test-v1", "kernel_id": "38138"}, {"ref": "vincentzhang/notebook-c07adab7a7c54431f484", "kernel_id": "60756"}, {"ref": "gandhirushabh2311/notebook-8201920c3e7c9d323464", "kernel_id": "44785"}, {"ref": "gandhirushabh2311/a-journey-through-rossmann-stores", "kernel_id": "44630"}, {"ref": "alexboy/test1", "kernel_id": "31362"}, {"ref": "katensy/notebook-cc901fbfeddc513b9fcb", "kernel_id": "39095"}, {"ref": "hbhaskaran/a-journey-through-rossmann-stores", "kernel_id": "32509"}, {"ref": "hermit84/notebook-2ea472aa3e388bb9f73a", "kernel_id": "39272"}, {"ref": "hermit84/notebook-2ccf49ce5847ab7608ef", "kernel_id": "39270"}, {"ref": "hermit84/notebook-2d459fc3264716c08624", "kernel_id": "38175"}, {"ref": "hermit84/a-journey-through-rossmann-stores", "kernel_id": "38173"}, {"ref": "hermit84/notebook-d20e2849907759fdc20d", "kernel_id": "78837"}, {"ref": "hermit84/notebook-6c2ce8f5863dc35a60e9", "kernel_id": "78838"}, {"ref": "hermit84/notebook-38bae067916e4b1b32d2", "kernel_id": "78839"}, {"ref": "hermit84/notebook-ad347bdf7d6387a639ab", "kernel_id": "78840"}, {"ref": "aleksitukiainen/a-journey-through-rossmann-stores", "kernel_id": "36009"}, {"ref": "hannibunny/rossmann-store-insights", "kernel_id": "107704"}, {"ref": "tetchart/notebook-e87a6c11a9bc74653e3d", "kernel_id": "36459"}, {"ref": "ashishatpug01/notebook29164e860a", "kernel_id": "97939"}, {"ref": "khiari/notebook37e9fdff2b", "kernel_id": "86938"}, {"ref": "shinchin136/ml-project", "kernel_id": "39703"}, {"ref": "shinchin136/notebook-911274900037f5b53214", "kernel_id": "39698"}, {"ref": "shinchin136/notebook-0a751e86a10aad944d30", "kernel_id": "39699"}, {"ref": "mneelam/basic-visualization", "kernel_id": "39947"}, {"ref": "mneelam/notebook-0cd0b2f1d98634bffd6b", "kernel_id": "40085"}, {"ref": "mneelam/data-viz", "kernel_id": "40098"}, {"ref": "smsahu/test1", "kernel_id": "70931"}, {"ref": "hellonearthv2/notebook71eafe12f6", "kernel_id": "235025"}, {"ref": "gbimes/interactive-sales-visualization", "kernel_id": "53865"}, {"ref": "sunlchk/a-journey-through-rossmann-stores", "kernel_id": "65984"}, {"ref": "diegotrujillo/notebook-7700e90e34200105070c", "kernel_id": "43728"}, {"ref": "kapitonov/hw3-kapitonov-technosphere", "kernel_id": "244905"}, {"ref": "kapitonov/notebook43fd275546", "kernel_id": "244786"}, {"ref": "paulkie/notebook-788224119af606a3c6ec", "kernel_id": "54071"}, {"ref": "paulkie/xgb-rossmann", "kernel_id": "54072"}, {"ref": "randomprime/a-journey-through-rossmann-stores", "kernel_id": "78041"}, {"ref": "randomprime/notebook-886f3a4a6823d57503b7", "kernel_id": "78042"}, {"ref": "dmitry103/notebook50b1ee36b5", "kernel_id": "244626"}, {"ref": "tangxinchun/notebook-ad3cc234bda78606c0e8", "kernel_id": "65636"}, {"ref": "jegyeongkim/notebook-7e508c8c0f108b92c6e4", "kernel_id": "50634"}, {"ref": "siddharthsa/a-journey-through-rossmann-stores", "kernel_id": "52477"}, {"ref": "chaithanya1996/notebook-10c525d72be990bd35c7", "kernel_id": "46512"}, {"ref": "jihyeseo/rossmann-eda-time-series", "kernel_id": "956913"}, {"ref": "hailixuxu/a-journey-through-rossmann-stores", "kernel_id": "48016"}, {"ref": "hailixuxu/notebook-c548ad4cbf4de1e285b9", "kernel_id": "48009"}, {"ref": "serj777/notebook-c6bbd747dffc0b79a5c9", "kernel_id": "48961"}, {"ref": "elezsh/notebook-d1d982789eb58788b399", "kernel_id": "48327"}, {"ref": "briandiloreto/time-series-linear-models-tslm", "kernel_id": "49348"}, {"ref": "justinwong235/a-journey-through-rossmann-stores", "kernel_id": "73482"}, {"ref": "sterlingsun/notebookb727aeb39f", "kernel_id": "92946"}, {"ref": "nicholit/notebook-be1e7c3a10b2dd7a419a", "kernel_id": "51973"}, {"ref": "nicholit/notebook-e1fb8c49f3fd0df77e0b", "kernel_id": "51974"}, {"ref": "nicholit/onemoretime", "kernel_id": "52097"}, {"ref": "nicholit/tryagain", "kernel_id": "52094"}, {"ref": "nicholit/exploratory-analysis-rossmann-isaac", "kernel_id": "52545"}, {"ref": "nicholit/notebook-004c4b539507697c9958", "kernel_id": "52550"}, {"ref": "nicholit/notebook-9564bf1e541a52834a9c", "kernel_id": "52554"}, {"ref": "novikovanastya/notebookec5d1c9813", "kernel_id": "244913"}, {"ref": "novikovanastya/submission-novikova", "kernel_id": "244962"}, {"ref": "jekrus/rossmann", "kernel_id": "244995"}, {"ref": "jekrus/notebookc5f30550be", "kernel_id": "245037"}, {"ref": "jekrus/fork-of-rossmann-2b9461", "kernel_id": "245812"}, {"ref": "jekrus/notebook5d31cddd9c", "kernel_id": "242468"}, {"ref": "jekrus/notebook0875a7f819", "kernel_id": "242470"}, {"ref": "m10202132/notebook-dfa84bf4f9fab6b16781", "kernel_id": "56363"}, {"ref": "wangjy1112/xgboost", "kernel_id": "104140"}, {"ref": "evantan/exploratory-analysis-rossmann", "kernel_id": "77452"}, {"ref": "jacobdamor/notebook-1211597864ee7c71b7d5", "kernel_id": "70247"}, {"ref": "htharka/notebook-ed0153634f54f4be8c6e", "kernel_id": "65642"}, {"ref": "htharka/a-journey-through-rossmann-stores", "kernel_id": "65640"}, {"ref": "sumitkant/firstscript", "kernel_id": "64287"}, {"ref": "chemjong/notebook-7f1aafa6ecef5617ff89", "kernel_id": "73722"}, {"ref": "skyblue1/notebook0dacb6e997", "kernel_id": "265296"}, {"ref": "fridayily/a-journey-through-rossmann-stores", "kernel_id": "182696"}, {"ref": "cying212jack/notebook-ad85c0cb00aea3dc2da6", "kernel_id": "69468"}, {"ref": "youwbpyr/notebookf66106eb95", "kernel_id": "87546"}, {"ref": "marcsun/a-journey-through-rossmann-stores", "kernel_id": "117365"}, {"ref": "apmfifty/predict-sales-with-pandas-using-median-mean", "kernel_id": "209054"}, {"ref": "tomazkastrun/notebook-e2887511345d77edbb47", "kernel_id": "72853"}, {"ref": "jasonlian/xgb-rossmann", "kernel_id": "221904"}, {"ref": "nag3113/notebook-92af2f48d1e7967499ec", "kernel_id": "75043"}, {"ref": "tennissuperstar/notebookff6b1f93aa", "kernel_id": "111894"}, {"ref": "solomonk/notebooke9b069d1e0", "kernel_id": "95204"}, {"ref": "noahryan22/notebook-a11d8a8cc4c92974be2c", "kernel_id": "80393"}, {"ref": "noahryan22/notebook-2a6cb757adcd237edf2b", "kernel_id": "80394"}, {"ref": "justindomingue/exploratory-analysis-rossmann", "kernel_id": "80504"}, {"ref": "zjplab/rossmann-stores-clustering-and-forecast", "kernel_id": "237236"}, {"ref": "sy95lee/notebook-f7292ad6a08a00961bfc", "kernel_id": "82004"}, {"ref": "sy95lee/notebook-34fe395195a8166e563d", "kernel_id": "82388"}, {"ref": "sdandriy/notebook2afa57bdeb", "kernel_id": "110601"}, {"ref": "yarvalcher/notebook7a4ae1cae1", "kernel_id": "118436"}, {"ref": "praveshsj/notebook8777882233", "kernel_id": "87808"}, {"ref": "mengxing/notebook1ff59f5faf", "kernel_id": "173269"}, {"ref": "sirkrabye/efimovvladislav-technosphere", "kernel_id": "242408"}, {"ref": "arvidzt/a-journey-through-rossmann-stores", "kernel_id": "152585"}, {"ref": "saiyesaswym/using-xgboost-final-score-0-12587", "kernel_id": "862590"}, {"ref": "ghaddad/notebookcac6721fee", "kernel_id": "89916"}, {"ref": "harikongu/a-journey-through-rossmann-stores", "kernel_id": "120135"}, {"ref": "petrosf/a-journey-through-rossmann-stores", "kernel_id": "135931"}, {"ref": "nagarajan619/comparing-various-time-series-forecasting-methods", "kernel_id": "955793"}, {"ref": "elenapetrova/time-series-analysis-and-forecasts-with-prophet", "kernel_id": "309057"}, {"ref": "ravichinoy/notebook53576d94cf", "kernel_id": "127971"}, {"ref": "delta37/data-python-dz3", "kernel_id": "244212"}, {"ref": "delta37/data-dz3", "kernel_id": "244677"}, {"ref": "delta37/notebookf8de32485b", "kernel_id": "233924"}, {"ref": "delta37/notebook76752b7e06", "kernel_id": "238475"}, {"ref": "delta37/notebook0d55f2096f", "kernel_id": "238480"}, {"ref": "delta37/notebook918850378e", "kernel_id": "238509"}, {"ref": "subon999/notebookfdc1f493a1", "kernel_id": "164570"}, {"ref": "vikibytes/exploratory-analysis-rossmann", "kernel_id": "181476"}, {"ref": "vikibytes/notebook1a1901dc14", "kernel_id": "181636"}, {"ref": "xieyufish/notebooke9aee87f89", "kernel_id": "263335"}, {"ref": "vanyail/notebookc1417082ad", "kernel_id": "244827"}, {"ref": "vanyail/notebook65150b9977", "kernel_id": "244812"}, {"ref": "vanyail/ilyin-technosphere", "kernel_id": "244813"}, {"ref": "dean2016/notebook409c69cc3c", "kernel_id": "157657"}, {"ref": "dean2016/first-prediction-project", "kernel_id": "157659"}, {"ref": "linxue1991/notebookff09fb605e", "kernel_id": "203313"}, {"ref": "temkahap/rossman-mini-rfr-final", "kernel_id": "243940"}, {"ref": "temkahap/notebookce38e2371c", "kernel_id": "243977"}, {"ref": "temkahap/notebookca958be504", "kernel_id": "243978"}, {"ref": "temkahap/rfr-rosman", "kernel_id": "243979"}, {"ref": "temkahap/notebook6db5ac53ac", "kernel_id": "243960"}, {"ref": "jas1994/notebook8f25990a28", "kernel_id": "501269"}, {"ref": "yangxiaocs/notebook675b900698", "kernel_id": "202826"}, {"ref": "beenyoung/a-journey-through-rossmann-stores", "kernel_id": "186774"}, {"ref": "beenyoung/xgb-rossmann", "kernel_id": "213145"}, {"ref": "beenyoung/testr", "kernel_id": "213150"}, {"ref": "thtsai/notebook31494da20d", "kernel_id": "113780"}, {"ref": "mgoodman6/a-journey-through-rossmann-stores", "kernel_id": "132507"}, {"ref": "mydream/testrossmann", "kernel_id": "158877"}, {"ref": "tdiliii/notebooke1d3eaacd2", "kernel_id": "210371"}, {"ref": "pmw9440/exploratory-data-analysis-for-rossman-store-sales", "kernel_id": "574728"}, {"ref": "teyeoo/firstrun", "kernel_id": "117137"}, {"ref": "clarkchong/fan-fei-s-grocery-understanding-mean-baseline", "kernel_id": "256299"}, {"ref": "gusevslava/notebook6b91567713", "kernel_id": "243736"}, {"ref": "angelikazw/notebook9fff4be5d8", "kernel_id": "124164"}, {"ref": "andrewracine1/notebook6a2395e94d", "kernel_id": "236773"}, {"ref": "zytzwt/xgboost-feature-importance", "kernel_id": "189602"}, {"ref": "venkatanadh/time-series-linear-models-tslm", "kernel_id": "131982"}, {"ref": "mithileysh/time-series-analysis-and-forecasts-with-prophet", "kernel_id": "869351"}, {"ref": "krisuncy/notebookb61b25f6d5", "kernel_id": "157134"}, {"ref": "krisuncy/a-journey-through-rossmann-stores", "kernel_id": "156505"}, {"ref": "ashishpatel26/rossman-stores-sales-analysis", "kernel_id": "952329"}, {"ref": "ralfman/python", "kernel_id": "161850"}, {"ref": "holgerbrandl/first-kaggle", "kernel_id": "164318"}, {"ref": "winny6093/rossmann-stores-clustering-and-forecast", "kernel_id": "177837"}, {"ref": "kriahi/notebook11d0536e92", "kernel_id": "178166"}, {"ref": "antonrossmann/notebook1a54a67734", "kernel_id": "177855"}, {"ref": "dingding22yu/exploratory-and-randomforest", "kernel_id": "180958"}, {"ref": "darkice1/test1", "kernel_id": "191920"}, {"ref": "darkice1/notebook5a6695375e", "kernel_id": "191780"}, {"ref": "prijha/a-journey-through-rossmann-stores", "kernel_id": "276884"}, {"ref": "evgenyvasilyev/evgeny-vasilyev", "kernel_id": "242902"}, {"ref": "muthukannan91/rossmann-exploratory-analysis", "kernel_id": "882857"}, {"ref": "muthukannan91/optimizing-promos-rossmann", "kernel_id": "934201"}, {"ref": "muthukannan91/are-promos-affecting-sales-rossmann", "kernel_id": "928999"}, {"ref": "ploshkin/testlr", "kernel_id": "241252"}, {"ref": "panser/notebooka009393e7e", "kernel_id": "245663"}, {"ref": "marsiik/dm-intro-kernel", "kernel_id": "244793"}, {"ref": "marsiik/notebooka9a4f73c8f", "kernel_id": "244176"}, {"ref": "zigawick/notebook0bea6761bb", "kernel_id": "244060"}, {"ref": "zigawick/notebookb1c23c69a1", "kernel_id": "244704"}, {"ref": "zigawick/sphere-belozerov-hw", "kernel_id": "244935"}, {"ref": "sbleszek/notebook0e23367ab6", "kernel_id": "203820"}, {"ref": "laurali/notebook27247d2ff1", "kernel_id": "230684"}, {"ref": "laurali/notebook96177530ad", "kernel_id": "230685"}, {"ref": "orlando23/h2o-py-random-forest", "kernel_id": "475857"}, {"ref": "wangtuntun/rossman", "kernel_id": "211087"}, {"ref": "rogachev/rogachevalexander-technosphere", "kernel_id": "244742"}, {"ref": "blackbear2017/rossman-data-master", "kernel_id": "244821"}, {"ref": "blackbear2017/a-journey-through-rossmann-stores", "kernel_id": "244124"}, {"ref": "igetii/111111", "kernel_id": "244313"}, {"ref": "igetii/galitskiy-igor", "kernel_id": "240736"}, {"ref": "budukalex/notebookda85513b95", "kernel_id": "244778"}, {"ref": "budukalex/rossmann", "kernel_id": "242113"}, {"ref": "iamthesenate/notebook8e864be9c6", "kernel_id": "244240"}, {"ref": "ilukyanchikov/notebook3e6bd419a5", "kernel_id": "244274"}, {"ref": "ilukyanchikov/notebook1ec93bac48", "kernel_id": "245776"}, {"ref": "yassiin/notebook5b2901662d", "kernel_id": "215422"}, {"ref": "kaaggravator/rossman", "kernel_id": "244689"}, {"ref": "sergotail/rossman-store-sales-kernel", "kernel_id": "245242"}, {"ref": "puchkinda/danilapuchkin-technosphere", "kernel_id": "245093"}, {"ref": "ikrylov/kiss-linear-model-ikrylov-sphere-rmspe-2", "kernel_id": "244547"}, {"ref": "petertrr/notebook1ec3fbbc79", "kernel_id": "245807"}, {"ref": "petertrr/my-kernel", "kernel_id": "242419"}, {"ref": "petertrr/notebook4ffbcedf04", "kernel_id": "243149"}, {"ref": "petertrr/notebook3f66fb937b", "kernel_id": "243154"}, {"ref": "ikozlov/kozlovivan-technosphere-v2", "kernel_id": "245729"}, {"ref": "ikozlov/rossman-store-sales", "kernel_id": "244272"}, {"ref": "ikozlov/notebookf0d57e2465", "kernel_id": "244245"}, {"ref": "ikozlov/rossman", "kernel_id": "244287"}, {"ref": "ikozlov/notebook6eccbbbd49", "kernel_id": "244202"}, {"ref": "ikozlov/rossman-technosphere", "kernel_id": "244340"}, {"ref": "zaitcevav/home-work3", "kernel_id": "242073"}, {"ref": "mdementyev/dementyev-maxim", "kernel_id": "244904"}, {"ref": "horoshenkiy/horoshenkiy-rossman-technosphere", "kernel_id": "244890"}, {"ref": "asimandia/technospherebaseline", "kernel_id": "245589"}, {"ref": "crazyvaskya/notebook54926acadc", "kernel_id": "244931"}, {"ref": "mfseyf/omarovtemirkhanhw3", "kernel_id": "245675"}, {"ref": "srrdy21/rossman", "kernel_id": "248193"}, {"ref": "mis103/r-xgb", "kernel_id": "396854"}, {"ref": "artalo/exploratory-analysis-rossmann", "kernel_id": "277913"}, {"ref": "uburuntu/rossmann-4", "kernel_id": "299566"}, {"ref": "mimi01234/rossman111", "kernel_id": "298736"}, {"ref": "thushear/my-first-sales-forecast-rossman-store", "kernel_id": "990302"}, {"ref": "dromosys/fastai-rossmann-store-sales-v3", "kernel_id": "462777"}, {"ref": "amarpreetsingh/rossmann-store-sales-predictor-poc", "kernel_id": "612680"}, {"ref": "chocozzz/rossmann-eda", "kernel_id": "988533"}, {"ref": "xiaoxiao1989/rossmann-sales-prediction-exploration-cleaning", "kernel_id": "750184"}, {"ref": "xiaoxiao1989/rossmann-data-cleaning-and-feature-engineering", "kernel_id": "784929"}, {"ref": "dineshvg/rossman-dataset-analysis", "kernel_id": "1191710"}, {"ref": "foudifeomorfismo/intentotarde", "kernel_id": "1984407"}, {"ref": "stefanozakher94/eda-and-forecasting-with-rfregressor-final-updated", "kernel_id": "1140262"}, {"ref": "stefanozakher94/eda-forecasting-randomforestregressor-final", "kernel_id": "1140383"}, {"ref": "hortonhearsafoo/fast-ai-lesson-3", "kernel_id": "1373385"}, {"ref": "dawgwelder/rossman-xgb-solution", "kernel_id": "1460440"}, {"ref": "xwxw2929/rossmann-sales-top1", "kernel_id": "1286176"}, {"ref": "kunalvats/working-on-rossmann", "kernel_id": "1843185"}, {"ref": "chocozzz/interactive-sales-visualization", "kernel_id": "1086525"}, {"ref": "princeashburton/fast-ai-lesson-3-structured-data", "kernel_id": "1489152"}, {"ref": "insotc/rossmann-prediction", "kernel_id": "1361543"}, {"ref": "holoong9291/udacity-final-project-rossmann", "kernel_id": "1809262"}, {"ref": "ashwinbaskar97/capstone", "kernel_id": "1799730"}, {"ref": "naresh31/rossmann-store-sales", "kernel_id": "2587152"}, {"ref": "massyl/rossman-store-sales", "kernel_id": "2095107"}, {"ref": "patthoo/fast-ai-lesson-3", "kernel_id": "2265832"}, {"ref": "omgrodas/rossmann-deep-learning-with-fast-ai-v1-simple", "kernel_id": "2610459"}, {"ref": "omgrodas/rossmann-exploratory-data-analysis", "kernel_id": "2664617"}, {"ref": "omgrodas/rossmann-data-engineering", "kernel_id": "2556254"}, {"ref": "omgrodas/rossmann-deep-learning-with-fast-ai-v1", "kernel_id": "2568883"}, {"ref": "hisashikarazu/rossmann-python-forecasting-learning-notebook", "kernel_id": "2519060"}, {"ref": "thawatchai2018/time-series-analysis-and-forecasts-with-prophet", "kernel_id": "2123844"}, {"ref": "vmelonari/rossmann", "kernel_id": "2090545"}, {"ref": "kokovidis/rossman-store-sales-prediction-with-xgboost", "kernel_id": "2616466"}, {"ref": "akhilyeduresi/rossmans-store-prediction", "kernel_id": "2360916"}, {"ref": "saisaranya/rossmann-kalai", "kernel_id": "3321245"}, {"ref": "workhfailflearna/linear-regression", "kernel_id": "3322660"}, {"ref": "dboyaoao/rossmann-sales", "kernel_id": "3477125"}, {"ref": "manoelverissimo/rossmann-store-keras-model", "kernel_id": "3674829"}, {"ref": "jayvimalathithan/ross-agg", "kernel_id": "3322617"}, {"ref": "omarsayed7/xgboost-rossman-sales", "kernel_id": "3237641"}, {"ref": "therri1227/learning-how-to-kaggle", "kernel_id": "3304557"}, {"ref": "sivaprasadml/rossman", "kernel_id": "3344543"}, {"ref": "terminate9298/rossmann-store-sale-prediction", "kernel_id": "4029935"}, {"ref": "managetopia/feature-engineering-with-prophet", "kernel_id": "4624339"}, {"ref": "saranyashalya/xgb-store-sales", "kernel_id": "5252740"}, {"ref": "micmia/rossmann-store-sales-prediction-based-on-xgboost", "kernel_id": "5016735"}, {"ref": "riow1983/state-space-models-by-statsmodels", "kernel_id": "5509583"}, {"ref": "managetopia/first-try", "kernel_id": "5102488"}, {"ref": "zongtseng/rossmann-time-series-data-engineering", "kernel_id": "6617019"}, {"ref": "zongtseng/rossmann-time-series-prediction-deep-learning", "kernel_id": "6606006"}, {"ref": "residentmario/pytorch-tabular-feedforward-v-2-gpu-poc", "kernel_id": "6407404"}, {"ref": "residentmario/pytorch-tabular-feedforward-v-1-cpu-poc", "kernel_id": "6397387"}, {"ref": "aswathikv/rossmanstoresales", "kernel_id": "6511414"}, {"ref": "abefukasawa/time-series-analysis-and-forecasts-with-prophet", "kernel_id": "6379414"}, {"ref": "swinalmeshram/rossmann-sales", "kernel_id": "6511396"}, {"ref": "ashwathbalaji/rossmann-store-sales", "kernel_id": "6511408"}, {"ref": "sm12120552/rossmann-store-sales", "kernel_id": "6511403"}, {"ref": "sudharsan1297/rossmann-store-sales-final", "kernel_id": "6511492"}, {"ref": "apoorvaappz/rossmann-store-sales", "kernel_id": "6511397"}, {"ref": "sharmistha96/rossmann-store-sales-analysis", "kernel_id": "6515346"}, {"ref": "abhisarnarkhede/rossman-store-sales", "kernel_id": "6511379"}, {"ref": "owaismoa/rossmann-sales", "kernel_id": "6606975"}, {"ref": "narendra123580/rossman-store-sales-analysis", "kernel_id": "6518412"}, {"ref": "aahaan007/store-sales", "kernel_id": "6511460"}, {"ref": "smaransogi/rossmann-sales", "kernel_id": "6525419"}, {"ref": "saibharath12/rossmann-store-sales", "kernel_id": "6511394"}, {"ref": "juhi1994/rossmann-store-sales-case-study", "kernel_id": "6511415"}, {"ref": "amulyamanne/rossmann-store-sales-case-study", "kernel_id": "6511399"}, {"ref": "tarunkoutharapu/rossmann-store-analysis", "kernel_id": "6525142"}, {"ref": "smksett11/rossmann-entityembedding", "kernel_id": "6123238"}, {"ref": "aksha17/rossmann-store-sales", "kernel_id": "6511643"}, {"ref": "yashnaik12/rossmann-store-sales-analysis", "kernel_id": "6518313"}, {"ref": "gurramkondasaicharan/rossmann-store-sales", "kernel_id": "6511456"}, {"ref": "ranwasakshi/rossman-sales", "kernel_id": "6525801"}, {"ref": "mnoman/densenet-noman-rohit-vinita", "kernel_id": "7004483"}, {"ref": "maxzip/rossmann-treebased", "kernel_id": "7860902"}, {"ref": "nikhilthapa11/rossmann-sales-analysis", "kernel_id": "7057729"}, {"ref": "moon2002/store-sales-prediction", "kernel_id": "7465372"}, {"ref": "santoshkumar1709/rossmann-store-sales", "kernel_id": "7242953"}, {"ref": "raymant/eda-model-building", "kernel_id": "7797843"}, {"ref": "davidyee/dvs-rossmann-sales", "kernel_id": "7590464"}, {"ref": "sunlightsedu/sunlightsedu-rossmann", "kernel_id": "7859060"}, {"ref": "alpertemel/rossmann-store-sales-rne-i", "kernel_id": "8997638"}, {"ref": "ajith05/eda-rossmann", "kernel_id": "8072597"}, {"ref": "hanitha72/kernel503e74cb76", "kernel_id": "8205695"}, {"ref": "mmanohar10/comp-analysis", "kernel_id": "8927358"}, {"ref": "mooventhchiyan/case-study", "kernel_id": "8660803"}, {"ref": "mooventhchiyan/decision-tree-regressor", "kernel_id": "8790678"}, {"ref": "longyinchan/henry-random-forest", "kernel_id": "8806173"}, {"ref": "hammadshahid/ai-project", "kernel_id": "8596921"}, {"ref": "offerupedu/offerup-edu-rossmann", "kernel_id": "8648443"}, {"ref": "prashantlal/rossman-store-sale-prediction-using-random-forest", "kernel_id": "9190506"}, {"ref": "chandra03/time-series-analysis-with-prophet", "kernel_id": "9089967"}, {"ref": "chinugupta/predicting-rosmann-stores-salesprice", "kernel_id": "9904611"}, {"ref": "yogesh94/coding-for-rapid-ml-experimentation-part-i", "kernel_id": "10842321"}, {"ref": "brandog/rossmann-sales-fastai-and-external-data-sets", "kernel_id": "10295596"}, {"ref": "panamby/rossmann-store-sale", "kernel_id": "10002422"}, {"ref": "miorgash/ml-5-1-rossmannstoresales-minimum", "kernel_id": "10701944"}, {"ref": "miorgash/ml-6-1", "kernel_id": "10961031"}, {"ref": "duonghoanvu1/sale-prediction", "kernel_id": "10116042"}, {"ref": "axylos/rossmannsales-timeseriesforecasting", "kernel_id": "10703659"}, {"ref": "kazukihashizume/rossmannstoresales-linear-model-and-xgb", "kernel_id": "10956216"}, {"ref": "vikasbhadoria/time-series-forecasting-using-facebook-prophet", "kernel_id": "10258144"}, {"ref": "ayeongjeong/fork-of-rossmann-store-sales-analysis", "kernel_id": "10004038"}, {"ref": "harryliuhanyao/pca-fa-cluster", "kernel_id": "10188505"}, {"ref": "yusukeamano/rossmannstoresales-linear-model", "kernel_id": "10750983"}, {"ref": "yusukeamano/rossmann-linearmodel", "kernel_id": "10995891"}, {"ref": "sotasugiura/rossmann-store-sales", "kernel_id": "10320806"}, {"ref": "dibgerge/rossmann-fastai", "kernel_id": "11458261"}, {"ref": "fanbyprinciple/rossmann-with-fastai-v3", "kernel_id": "11546673"}, {"ref": "ksuthalia/rossmann-future-sales", "kernel_id": "11745538"}, {"ref": "omkardray/rossmann-store-sales-prediction-with-prophet", "kernel_id": "11246065"}, {"ref": "adakibet/eda-rossmanstores", "kernel_id": "11234199"}, {"ref": "davidoyogo/eda-notebook", "kernel_id": "11602336"}, {"ref": "maksimbahdanchyk/rossmann-eda-timefeatures-meanenc-xgboost-draft", "kernel_id": "11013798"}, {"ref": "yukibessho/20200821-bessho", "kernel_id": "11286750"}, {"ref": "simongrest/rossman-with-causal-impact", "kernel_id": "12093487"}, {"ref": "yakupsame/forecasting-sales", "kernel_id": "12017765"}, {"ref": "rohinigarg/random-forest-and-xgboost-parameter-tuning", "kernel_id": "12281837"}, {"ref": "amitmisra2000/how-to-increase-roseman-sales", "kernel_id": "12466981"}, {"ref": "ezhilpersonal/rossmann-store-data-analysis-and-sales-prediction", "kernel_id": "12511523"}, {"ref": "uknowabhishek/regression-with-xgb", "kernel_id": "12460960"}, {"ref": "marianaalm/rossman-sales-prediction-with-facebook-prophet", "kernel_id": "12844619"}, {"ref": "yindachen/rossmann", "kernel_id": "12744912"}, {"ref": "cyccccc/lue-team", "kernel_id": "12872948"}, {"ref": "carroltuna/rossmann-mlp", "kernel_id": "13974261"}, {"ref": "abinashkumarsahu/salesprojection-store", "kernel_id": "13170265"}, {"ref": "vickydavid/sales-prediciton-with-facebook-prophet", "kernel_id": "13466643"}, {"ref": "yogeshkumarpatel/yogeshpatel-rossman-store-sales", "kernel_id": "13984341"}, {"ref": "ibnuthoriqh/sarimax-with-semi-monthly-smoothing", "kernel_id": "13204240"}, {"ref": "amithanayak/predict-rossmann-sales", "kernel_id": "14059189"}, {"ref": "amithanayak/cleaning-feature-engg-eda-rossmann-sales", "kernel_id": "14059264"}, {"ref": "pranitapatel/rossmannstoresales-prediction", "kernel_id": "14559327"}, {"ref": "jdrzejchmielarski/data-mining", "kernel_id": "14352983"}, {"ref": "apovidlo/rossmann-store-sales-course-project", "kernel_id": "15106468"}, {"ref": "jeonghyunjhkim/rossmann-store-sales-data-preprocessing-and-eda", "kernel_id": "15015821"}, {"ref": "jeonghyunjhkim/rossmann-store-sales-linear-regression-practice", "kernel_id": "15132894"}, {"ref": "skathirmani/data-science-course-session-26", "kernel_id": "16437636"}, {"ref": "soerendip/rossmann-with-tabnet-pytorch", "kernel_id": "16179499"}, {"ref": "yaroslav4klymchuk/rossmann-modeling-fbprophet", "kernel_id": "16003560"}, {"ref": "david89222/rossman", "kernel_id": "16949681"}, {"ref": "nagireddyseelam/prabhukiran", "kernel_id": "17953835"}, {"ref": "nilaychauhan/time-series-forecasting-using-facebook-prophet", "kernel_id": "17285833"}, {"ref": "arunpurakkatt/predicting-sales-time-series-analysis-forecasting", "kernel_id": "17396038"}, {"ref": "arunabh04/rossmann-store-sales", "kernel_id": "17673351"}, {"ref": "mogu4iy/rossman-store-sales", "kernel_id": "17276937"}, {"ref": "guyko81/xgboost-basic", "kernel_id": "18444572"}, {"ref": "ravinash218/drug-stores-sales-prediction-xgboost", "kernel_id": "18907722"}, {"ref": "mehedeehassan/deep-neural-network-to-forecast-sale-part-1", "kernel_id": "18774256"}, {"ref": "anitharajamani/sales-prediction", "kernel_id": "18753893"}, {"ref": "galaxx/time-series-analysis-and-forecasts-with-prophet", "kernel_id": "18024286"}, {"ref": "shivam017arora/rossmann-sales-prediction-top-1-solution", "kernel_id": "18138458"}, {"ref": "nanamiyvonne/rossmann", "kernel_id": "18757330"}, {"ref": "rsesha/rossmann-store-deep-autoviml", "kernel_id": "19656322"}, {"ref": "mohamedjafirashraf/rossmann-store-sales-prediction-using-dnn", "kernel_id": "19694557"}, {"ref": "skathirmani/ml-case-study-aug-2021-session-2", "kernel_id": "20127015"}, {"ref": "kunwarakash/rossmann-store-sales-forecast-ml-model-by-xgboost", "kernel_id": "20384268"}, {"ref": "mahmoudtaya/xgboost-ml", "kernel_id": "20391332"}, {"ref": "davidbroin/ml1-trabajo-final-david-broin", "kernel_id": "20400427"}, {"ref": "harshashesh/traditional-ts-fb-prophet-interesting-insights", "kernel_id": "20741623"}, {"ref": "davidbroin/ml2-trabajo-final-david-broin", "kernel_id": "21814566"}, {"ref": "nguyntrncnghuy/rossmann-visualization", "kernel_id": "21701640"}, {"ref": "skathirmani/gl-ml-case-study-day-1-2021-12-18", "kernel_id": "22876801"}, {"ref": "dasarimohana/rossmann-store-sales", "kernel_id": "22236900"}, {"ref": "noyalrajan/rossman-sales", "kernel_id": "22102413"}, {"ref": "zapppsy/rossmannstoresaleskerasmodel", "kernel_id": "22014811"}, {"ref": "nikhilkhandelwal0119/rossmann-store-sales-prediction-xgboost", "kernel_id": "22082297"}, {"ref": "omkarkhandekar/storewise-try-on-rossmann-compitition-data", "kernel_id": "22683495"}, {"ref": "mvrcxsp/rossmann-predicting-sales-with-xgboost", "kernel_id": "23926650"}, {"ref": "hammadshahid/rossmann-store-sales-0-10377-score-solution", "kernel_id": "23293463"}, {"ref": "arcticai/rossmann-sales-analysis-with-facebook-prophet", "kernel_id": "23780425"}, {"ref": "skathirmani/gl-slr-srm-2022-01-23", "kernel_id": "24065692"}, {"ref": "skathirmani/gl-ml-case-study-s1-2022-02-05", "kernel_id": "24426717"}, {"ref": "lukemahan/fast-ai-lesson-3", "kernel_id": "24769431"}, {"ref": "manishleo10/gradient-boosting-machines-gbms-with-xgboost", "kernel_id": "24531364"}, {"ref": "mohinurabdurahimova/rossmann-store-sales", "kernel_id": "24390817"}, {"ref": "juniorbueno/sales-prediction", "kernel_id": "24992434"}, {"ref": "saswatipadhi/notebook661c609aa7", "kernel_id": "24426754"}, {"ref": "renanfioramonte/sales-predict-fbprophet", "kernel_id": "24943848"}, {"ref": "mohammedelhamraoui/dnn-for-supervised-learning", "kernel_id": "24827461"}, {"ref": "alogomachine/rossman-result", "kernel_id": "24871649"}, {"ref": "moussaadamouidrissa/suicide-squad", "kernel_id": "24130611"}, {"ref": "skathirmani/gl-ml-case-study-26-03-2022", "kernel_id": "25746244"}, {"ref": "amitgold/notebookf10dcfacb1", "kernel_id": "25660094"}, {"ref": "zizimouad/rossmann-solutionsales-proposation", "kernel_id": "25776319"}, {"ref": "moussaadamouidrissa/fork-for-rossman-store-sales", "kernel_id": "25833900"}, {"ref": "atinux/sangoku", "kernel_id": "25375728"}, {"ref": "mohammad2012191/rossmann-store-sales-prediction-top-100-solution", "kernel_id": "27162479"}, {"ref": "kinsiangchia/rossmann-sales-emblayer-xg-lgb", "kernel_id": "27071450"}, {"ref": "gamzeakkurt/rossmann-sales-price-prediction-using-prophet", "kernel_id": "28884240"}, {"ref": "utsav4789/prediction-using-dnn-on-rossmann-store-sales", "kernel_id": "29826672"}, {"ref": "mad23124567/notebook1eb353317a", "kernel_id": "30515693"}, {"ref": "rsesha/lazysulo-rossmann-without-sparsity-score-0-11", "kernel_id": "30522701"}, {"ref": "rsesha/lazysulo-rossmann-with-sparsity-score-0-12", "kernel_id": "30550533"}, {"ref": "jurk06/regression-using-deep-learning-keras", "kernel_id": "30771644"}, {"ref": "sreeshbk/rossmann-store-sales-prediction", "kernel_id": "30077299"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "bhatnagardaksh/gradient-descent-from-scratch", "kernel_id": "30714002"}, {"ref": "viniciusmoura1/rossman-project", "kernel_id": "30681541"}, {"ref": "realstay/sunlightsedu-rossmann", "kernel_id": "32004883"}, {"ref": "iqbalahmadkabir/rossmann-store-sales", "kernel_id": "32820681"}, {"ref": "jeannemolyneux/rossman-store-sales-exploratory-analysis", "kernel_id": "32185836"}, {"ref": "kariim/rossmann", "kernel_id": "33234089"}, {"ref": "fahrilianwidiatama/rossmann-store-sales", "kernel_id": "33174483"}, {"ref": "theozhabghanqing/theo-ecpkn-rossmann", "kernel_id": "37760380"}, {"ref": "sridharstreaks/gbms-with-xgboost-intution-model-building", "kernel_id": "38119199"}, {"ref": "elifduran18111/time-series-analysis-and-forecasts-with-prophet", "kernel_id": "38311121"}, {"ref": "lucapapariello/entity-embeddings-of-categorical-variables", "kernel_id": "39867433"}, {"ref": "eslamfouad/statistics-behind-forecasting-models", "kernel_id": "40320782"}, {"ref": "osamaoun/rossmann-store-sales-eda-arima-prophet-lgbm", "kernel_id": "40129105"}, {"ref": "amgadhasan/time-series-rossmann-store-sales", "kernel_id": "40282780"}, {"ref": "victorpaschoalini/sales-forecasting-prophet-time-series", "kernel_id": "40510960"}, {"ref": "yazeedalsahouri03/rossmann-store-sales-prediction", "kernel_id": "40602574"}, {"ref": "pedrormendonca/rossman-store-sales-competition-using-darts", "kernel_id": "41832848"}, {"ref": "cafalena/deeplearning-ffn", "kernel_id": "41220461"}, {"ref": "hasinroses/deep-learning-basics-explanation-algorithm-code", "kernel_id": "42481992"}, {"ref": "bhatnagardaksh/advanced-numpy-concepts-techniques", "kernel_id": "43518999"}, {"ref": "evansajumathew/rossman-store-sales-analysis", "kernel_id": "43555383"}, {"ref": "fadindashfr/data-visualization-using-rossman-store-sales-datas", "kernel_id": "43142621"}, {"ref": "fadindashfr/data-visualization", "kernel_id": "43149732"}, {"ref": "chickenricealwayswin/exploration-with-tree-based-algorithms", "kernel_id": "43351194"}, {"ref": "muhamadiqbalputra/rossman-store-sales-beginner-guide", "kernel_id": "43092731"}, {"ref": "saptarshi7470/time-series-analysis-and-forecasts-with-prophet", "kernel_id": "45998865"}, {"ref": "okandeniz/rossman-store-sales-prediction", "kernel_id": "47259801"}, {"ref": "guilhermematunaga/xgboost-rossman-sridhar", "kernel_id": "47523921"}, {"ref": "louyuechen0122/rossmann", "kernel_id": "47556087"}, {"ref": "caraaaaaa/no-eda-rf-xgb-dnn", "kernel_id": "47569649"}, {"ref": "caraaaaaa/eda-rf-xgb-dnn", "kernel_id": "47464401"}, {"ref": "wangyingzi/fork-of-eda-and-forecasting-with-rfregressor-final", "kernel_id": "47705727"}, {"ref": "sharoekm/rossman-store", "kernel_id": "49524944"}, {"ref": "fatcat08/udate-report", "kernel_id": "50375350"}, {"ref": "muskan0907/rossman-sales", "kernel_id": "50054424"}, {"ref": "mdniazulislamroky/a-beginner-s-guide-to-predict-rossman-store-sales", "kernel_id": "51585955"}, {"ref": "amirmohammadparvizi/rossman-store-sales", "kernel_id": "51075366"}, {"ref": "alijabbary/hamed-s-project", "kernel_id": "53793302"}, {"ref": "rrkcoder/decision-tree-w", "kernel_id": "53436898"}, {"ref": "rrkcoder/gradient-boosting-machines-gbms-with-xgboost", "kernel_id": "53784520"}, {"ref": "stephenxiaoyz/kagglepro-rossmann-3", "kernel_id": "53636789"}, {"ref": "gkhanelbistan/time-series-analysis-and-forecasts-with-prophet", "kernel_id": "56226318"}, {"ref": "samyak15jain/rossmann-2", "kernel_id": "57391860"}, {"ref": "ssyyhh/eda-of-rossman-store-with-prediction-of-sales", "kernel_id": "57071284"}, {"ref": "bozkurtayhan/rosemann-store-sales-forecasting", "kernel_id": "57208886"}, {"ref": "subhrasmukherjee/rossmann-store-sales-no-boosting-or-anns", "kernel_id": "59344538"}, {"ref": "ahmedmostafaattiaaa/ahmed-mostafa-attia", "kernel_id": "59580598"}, {"ref": "naganikshith/sales-prediction-based-on-rossmann-data-series", "kernel_id": "60887302"}, {"ref": "subhrasmukherjee/rossman-store-sales-ensemble-rf-xgb-lgbm", "kernel_id": "62525468"}, {"ref": "ahmedrizkgawish/rossmann-store", "kernel_id": "63108442"}, {"ref": "mustiztemiz/predict-rossman-store-sales", "kernel_id": "64736987"}, {"ref": "thornr/reproduction-of-66th-strategy-using-python", "kernel_id": "65024264"}, {"ref": "at3191/rossmann-prophet-fcst", "kernel_id": "66342108"}, {"ref": "at3191/rossmann-store-sales-best-model-selector", "kernel_id": "66339212"}, {"ref": "dongzhangzj/visualization-rossmann-store-sales", "kernel_id": "69644280"}, {"ref": "cases241/sale-forecasting-practice", "kernel_id": "70805168"}, {"ref": "zyh1104/009-rossmann-store-sales", "kernel_id": "71216804"}, {"ref": "eeetteee/rossman", "kernel_id": "72080660"}, {"ref": "muhammadnaufalmuzaki/rossmann-store-forecasting-beginner", "kernel_id": "76345733"}, {"ref": "arjungirish05/rosemann-sales", "kernel_id": "76896690"}, {"ref": "zerek1999/xgboost-solution", "kernel_id": "79271021"}, {"ref": "phucpro/cs116-eda", "kernel_id": "79865330"}, {"ref": "tngphmnguyn/cs116-eda", "kernel_id": "79982449"}, {"ref": "khanhnq1301/xgb-model", "kernel_id": "81121656"}, {"ref": "gspeter/rossmann-store", "kernel_id": "81925381"}, {"ref": "vinit08/gradient-boosting-xgboost", "kernel_id": "81271483"}, {"ref": "nhd1311/buildmodel", "kernel_id": "82273368"}, {"ref": "krishnayadav456wrsty/rossmann-store-sales-marketing-effort", "kernel_id": "82982912"}, {"ref": "samratchakma/rossmann-tempmetaboost", "kernel_id": "82732698"}, {"ref": "friedrichjahns/rossmann-xgboost-v4", "kernel_id": "83457092"}, {"ref": "nhd1311/lightgbm", "kernel_id": "83096740"}, {"ref": "quockhanh1301/catboost-model", "kernel_id": "83281340"}, {"ref": "quockhanh1301/lightgbm", "kernel_id": "83697613"}, {"ref": "khanhnq1301/catboost-model", "kernel_id": "83279505"}, {"ref": "khanhnq1301/ensemle-model", "kernel_id": "83141005"}, {"ref": "kendrick9/business-analysis", "kernel_id": "83867732"}, {"ref": "amritadas26/rossmann-store-sales-stacked-ensemble-model", "kernel_id": "83100249"}, {"ref": "amritadas26/rossmann-store-sales-with-gradient-boosting", "kernel_id": "83605451"}, {"ref": "kendrick9/model-xgboost-rossman", "kernel_id": "84025307"}, {"ref": "kendrick9/rossman-weight-model", "kernel_id": "84121401"}, {"ref": "tomilovivan/olya-ts", "kernel_id": "85230327"}, {"ref": "prayagpramod/time-series-forecasting-rossman-sales-data", "kernel_id": "85532535"}, {"ref": "zhou0319/rossmann-store-sales", "kernel_id": "86109263"}, {"ref": "taikikaramushizawa/notebook476f62c974", "kernel_id": "86604362"}, {"ref": "resulcanca/retail-sales-forecasting-with-store-insights", "kernel_id": "86889608"}, {"ref": "dotohoi/notebook975ebf1d33", "kernel_id": "87527673"}, {"ref": "kitaaa1223/rossmann3", "kernel_id": "87519441"}, {"ref": "akamaruuuussssss2/finald", "kernel_id": "87524735"}, {"ref": "sidikp/rossman-forecast-top-200-private-0-11657", "kernel_id": "88627667"}, {"ref": "seferadiyaman/xgboost-regression-explained-step-by-step", "kernel_id": "88383767"}, {"ref": "crowwick/end-to-end-rossmann-feature-engineering-optuna", "kernel_id": "90642286"}, {"ref": "tenghewang/sunlightsedu-rossmann", "kernel_id": "90383285"}, {"ref": "mdismielhossenabir/time-series-forecasting-of-sales-using-xgboost", "kernel_id": "91390500"}, {"ref": "chandrimamanna/rossmann-store-sales-final", "kernel_id": "91867652"}, {"ref": "parthzadeshwariya/rossmann-store-sales-prediction-with-xgboost", "kernel_id": "92273557"}, {"ref": "parthzadeshwariya/rossman-store-sales-prediction", "kernel_id": "92000885"}, {"ref": "leviyoder/ml2customlossandtraining", "kernel_id": "94746999"}, {"ref": "kethansaikoneru/bizintel-using-llm", "kernel_id": "102341602"}, {"ref": "nubaiduddin/the-store-manager-ai", "kernel_id": "102803212"}, {"ref": "pranavshinde36/rossmann-competition", "kernel_id": "103395774"}, {"ref": "pranavshinde36/rossmann-store-sales-predection-90-acc-xgbr", "kernel_id": "103383151"}, {"ref": "serjkalinovskiy/lama-vs-manual-automlcourse", "kernel_id": "104023477"}, {"ref": "nguynxtuong/notebook109f64b3ac", "kernel_id": "104739457"}, {"ref": "hoangtungle/gradient-boosting-machines-gbms-with-xgboost", "kernel_id": "104944421"}, {"ref": "evgendvorkin/store-day-of-week-average-model", "kernel_id": "106209993"}, {"ref": "mohamedrharrassi/rossmann-store-sales-data-exploration-imputation", "kernel_id": "106631173"}, {"ref": "ryofujioka34/notebookd2d07f15ea", "kernel_id": "106896013"}, {"ref": "mohamedrharrassi/rossmann-store-sales-data-preparation", "kernel_id": "107081108"}, {"ref": "ryutohosokawa/rossmann-store-sales", "kernel_id": "108905178"}, {"ref": "momenhamza2002/sadeen", "kernel_id": "110091063"}, {"ref": "xlemonadex/dataset", "kernel_id": "111740525"}, {"ref": "jalesummak/rossman-store-sales-forecasting", "kernel_id": "112038422"}, {"ref": "huynhminhtriet2262/eda-dataset", "kernel_id": "114991155"}, {"ref": "wilsonmunoz/notebookbba2ec3646", "kernel_id": "115681162"}, {"ref": "trietdeptrai/fork-of-code-ml", "kernel_id": "115418015"}, {"ref": "huynhminhtriet2262/fork-of-code-ml", "kernel_id": "115430925"}, {"ref": "hamoloda/project-1", "kernel_id": "115293679"}, {"ref": "zamrapanhwar/zamra-s-machine-learning-assignment", "kernel_id": "117281531"}, {"ref": "tusarranjanpanda/rossmann-store-sales", "kernel_id": "117476034"}, {"ref": "abhisa2805/rossmann-sales-and-anomaly-detection", "kernel_id": "118589821"}, {"ref": "littlehappybird/notebook97b6cbb295", "kernel_id": "120856996"}, {"ref": "novitaintann/sarima-vs-deep-learning-rossmann-sales", "kernel_id": "121275275"}, {"ref": "liderpartiii/causal-did-rossmann", "kernel_id": "122018596"}, {"ref": "coffee1337/pratice-1-dataset-10mb", "kernel_id": "123830900"}, {"ref": "mariliamarkou/notebookbb4deaff6f", "kernel_id": "125655927"}, {"ref": "abdullahnaeem151015/rossmann-sales-forecasting-with-xgboost", "kernel_id": "126034026"}, {"ref": "vivienjz/notebooka45e50dc54", "kernel_id": "129302037"}, {"ref": "aarishar321/rossmann-sales-forecasting", "kernel_id": "129589489"}, {"ref": "venkykalakuntla/de-ml-a", "kernel_id": "131042030"}]}
{"competition_id": "4603", "kernels": []}
{"competition_id": "4620", "kernels": []}
{"competition_id": "4650", "kernels": []}
{"competition_id": "4651", "kernels": [{"ref": "antgoldbloom/airbnb-user-bookings", "kernel_id": "28152"}, {"ref": "benhamner/list-input-files-1", "kernel_id": "24791"}, {"ref": "benhamner/input-files", "kernel_id": "33860"}, {"ref": "benhamner/md5-hashes-of-input-files", "kernel_id": "30096"}, {"ref": "gshguru/fisrtscript", "kernel_id": "25945"}, {"ref": "domcastro/script-0-1acs", "kernel_id": "30190"}, {"ref": "joonkim/notebook-8bcb5d6f0205f1d789b9", "kernel_id": "28196"}, {"ref": "elong0527/test1", "kernel_id": "27240"}, {"ref": "georgiyanchev/notebook-35cb2d9759edabc1900a", "kernel_id": "37805"}, {"ref": "kagaav/notebook-18e234a5367a17d3de97", "kernel_id": "29756"}, {"ref": "kagaav/notebook-915bc3007a070aae9f94", "kernel_id": "29757"}, {"ref": "kagaav/notebook-2d733188bf48e3f4dbfd", "kernel_id": "30072"}, {"ref": "kagaav/script-1", "kernel_id": "29936"}, {"ref": "dapurv5/notebook-dd1dea4cf4c7c6ec0926", "kernel_id": "32955"}, {"ref": "lordasart/three-level-classification-architecture", "kernel_id": "58521"}, {"ref": "lordasart/notebook-b5ac2567529547bb263b", "kernel_id": "60891"}, {"ref": "vikpar/airbnb-user-bookings", "kernel_id": "28696"}, {"ref": "upulbandara/notebook-e678c0f9af08e5320902", "kernel_id": "29266"}, {"ref": "upulbandara/my-starting-point", "kernel_id": "29267"}, {"ref": "datacanary/airbnb-notebook", "kernel_id": "25828"}, {"ref": "kunjal/fisrtscript", "kernel_id": "25895"}, {"ref": "davidzwoo/notebook-ec52d773d7a0a17727be", "kernel_id": "34369"}, {"ref": "satomacoto/script-0-1-1", "kernel_id": "35818"}, {"ref": "satomacoto/cross-val-score-for-sklearn-classifiers", "kernel_id": "35311"}, {"ref": "satomacoto/script-0-1", "kernel_id": "35269"}, {"ref": "satomacoto/notebook-0323122e2e2b0a26e6bb", "kernel_id": "35271"}, {"ref": "satomacoto/no-session-data", "kernel_id": "35286"}, {"ref": "satomacoto/notebook-5c0aa7177776384d5a9e", "kernel_id": "35292"}, {"ref": "satomacoto/notebook-ce60d6f5db8b41af74bb", "kernel_id": "35295"}, {"ref": "satomacoto/notebook-94e52cd3604536f55ea0", "kernel_id": "35463"}, {"ref": "satomacoto/notebook-ddb35493ab6664c7439f", "kernel_id": "37428"}, {"ref": "keiku322/dsbook-benchmark", "kernel_id": "99196"}, {"ref": "yonglin/notebook-7e88c38202ff37cfc644", "kernel_id": "26022"}, {"ref": "bintug/notebook-15348ca29ab3abb0d099", "kernel_id": "36140"}, {"ref": "wendykan/ndcg-example", "kernel_id": "26454"}, {"ref": "bensonlee5/airbnb-user-bookings", "kernel_id": "27825"}, {"ref": "bensonlee5/notebook-84af2958a9b6d098ab14", "kernel_id": "27826"}, {"ref": "bensonlee5/notebook-9dbe87d9ad804ed63bbf", "kernel_id": "27827"}, {"ref": "bensonlee5/notebook-15a317525f671f70df17", "kernel_id": "27828"}, {"ref": "makotoinoue/airbnb-user-bookings", "kernel_id": "28833"}, {"ref": "themiurgo/notebook-0699de5a9bf32c37cfc1", "kernel_id": "27537"}, {"ref": "queqichao/notebook-f1cd7b2b7fa84db0ddfd", "kernel_id": "31896"}, {"ref": "slimper/notebook-677e72db6c36a9e7c090", "kernel_id": "37364"}, {"ref": "luisdelatorre/user-data-exploration", "kernel_id": "31809"}, {"ref": "rahulbr/notebook-7f353f01795b0fb6fcfe", "kernel_id": "33361"}, {"ref": "l1norm/combined-user-and-session-data", "kernel_id": "33807"}, {"ref": "l1norm/notebook-629b85217d8a8c1a8c1d", "kernel_id": "33801"}, {"ref": "l1norm/notebook-928ba2d99635c4fbf14b", "kernel_id": "33802"}, {"ref": "l1norm/notebook-cce40512a50e81bd20eb", "kernel_id": "33803"}, {"ref": "l1norm/notebook-89dc282afad66938c86e", "kernel_id": "33804"}, {"ref": "mathusuthan/user-data-exploration", "kernel_id": "34038"}, {"ref": "mathusuthan/notebook-8901cc317d1384f4f6b7", "kernel_id": "34039"}, {"ref": "divyakkm/script1", "kernel_id": "26063"}, {"ref": "rloliveirajr/three-level-classification-architecture", "kernel_id": "45155"}, {"ref": "zhaoyiliang/notebook-5fc2aad20f9db4f0441e", "kernel_id": "31812"}, {"ref": "zhaoyiliang/user-data-exploration", "kernel_id": "31808"}, {"ref": "kmalev/user-data-exploration", "kernel_id": "37321"}, {"ref": "nishkgp/temp12345", "kernel_id": "26970"}, {"ref": "ryancorley/explore", "kernel_id": "44735"}, {"ref": "ryancorley/notebook-c8fd6dac1123d4158f2a", "kernel_id": "44737"}, {"ref": "ryancorley/exploring", "kernel_id": "44738"}, {"ref": "ryancorley/airbnb-exploratory-analysis", "kernel_id": "44740"}, {"ref": "ryancorley/notebook-f8269c42fef966cf9b21", "kernel_id": "44748"}, {"ref": "ryancorley/initialexploration", "kernel_id": "44749"}, {"ref": "ryancorley/notebook-841ed028bd4dc0b43c3a", "kernel_id": "44863"}, {"ref": "ryancorley/notebook-54e78d8d5e34553e0613", "kernel_id": "44864"}, {"ref": "ryancorley/notebook-766fb0eb6dbd5c90b7ee", "kernel_id": "44865"}, {"ref": "ryancorley/airbnb-user-bookings", "kernel_id": "46550"}, {"ref": "puikwan/user-data-exploration", "kernel_id": "29011"}, {"ref": "puikwan/notebook-95bba0d4de5ddb0db78d", "kernel_id": "29012"}, {"ref": "vaisaghvt/notebook-cb753d854ebc6e72b578", "kernel_id": "28663"}, {"ref": "piyushbhargava/three-level-classification-architecture", "kernel_id": "49624"}, {"ref": "piyushbhargava/notebook-2eebaafe97a90460696a", "kernel_id": "49625"}, {"ref": "piyushbhargava/notebook-30e9f078c15b06c291bc", "kernel_id": "49626"}, {"ref": "andrewand/notebook0bcf4533a3", "kernel_id": "133314"}, {"ref": "weruioghvn/notebook-90764e089598b83a1e01", "kernel_id": "26651"}, {"ref": "weruioghvn/baseline-if-date-first-booking-is-null", "kernel_id": "26455"}, {"ref": "weruioghvn/notebook-c0be7f77e23e7a82287a", "kernel_id": "28122"}, {"ref": "svpons/notebook-94d71c906885ffedc800", "kernel_id": "40221"}, {"ref": "svpons/notebook-c57f42975cef2c51f74b", "kernel_id": "40222"}, {"ref": "svpons/three-level-classification-architecture", "kernel_id": "40223"}, {"ref": "svpons/notebook-f1597bfa0a5d71165e18", "kernel_id": "40433"}, {"ref": "svpons/notebook-bf6ba79da042e1166332", "kernel_id": "40434"}, {"ref": "svpons/notebook-c5e05950a5488aed6f39", "kernel_id": "40435"}, {"ref": "svpons/notebook-6597509d473e3977ba96", "kernel_id": "40436"}, {"ref": "svpons/notebook-06dadb32d3d0382a84c4", "kernel_id": "40164"}, {"ref": "svpons/feature-engineering", "kernel_id": "40887"}, {"ref": "svpons/notebook-1a5c4b154854a868ff35", "kernel_id": "43003"}, {"ref": "svpons/notebook-678409b8268f447d1254", "kernel_id": "43004"}, {"ref": "svpons/notebook-49a855c74ec61ddd5765", "kernel_id": "41629"}, {"ref": "svpons/notebook-f6dabea531d9233dfb2f", "kernel_id": "41588"}, {"ref": "svpons/notebook-0dfed92ecb12edc66054", "kernel_id": "41590"}, {"ref": "svpons/script-0-8655", "kernel_id": "28011"}, {"ref": "svpons/notebook-6355ac51e8f9473b1daa", "kernel_id": "43456"}, {"ref": "makoamena/airbnb-visualizations", "kernel_id": "35982"}, {"ref": "itodorovic/notebook-f5a4a1a5d4c223b74f1c", "kernel_id": "33945"}, {"ref": "itodorovic/airbnb-sessions-aggregator", "kernel_id": "37129"}, {"ref": "alexkitchens/airbnb-visualizations", "kernel_id": "33287"}, {"ref": "alexkitchens/airbnb-fun", "kernel_id": "33288"}, {"ref": "alexkitchens/notebook-9e19e99607c489390fc9", "kernel_id": "33289"}, {"ref": "alexkitchens/playtime", "kernel_id": "36388"}, {"ref": "jonschoning/three-level-classification-architecture", "kernel_id": "45970"}, {"ref": "jonschoning/notebook-67fc0ef64a6839727510", "kernel_id": "45971"}, {"ref": "shukuang/three-level-classification-architecture", "kernel_id": "77213"}, {"ref": "jackmoe/user-data-exploration", "kernel_id": "33006"}, {"ref": "indradenbakker/rscript-0-86547", "kernel_id": "28339"}, {"ref": "vtomar/airbnb", "kernel_id": "28311"}, {"ref": "jmp405/bnbdataexplore", "kernel_id": "32112"}, {"ref": "jmp405/notebook-995694f750ad536ad884", "kernel_id": "32114"}, {"ref": "jmp405/test1", "kernel_id": "32183"}, {"ref": "jmp405/notebook-7738839dc5dde080362a", "kernel_id": "32204"}, {"ref": "hongyan/notebook-c7995c91327084189f32", "kernel_id": "28969"}, {"ref": "anubrata/notebook-ccdef734d5921fdf5c6d", "kernel_id": "28267"}, {"ref": "anubrata/airbnb", "kernel_id": "28271"}, {"ref": "harinando/airbnb-user-bookings", "kernel_id": "27060"}, {"ref": "orchid/notebook-cc88f6e1c9c99e0b977c", "kernel_id": "32095"}, {"ref": "orchid/learning-from-the-others-work-0-8665", "kernel_id": "35640"}, {"ref": "kuberiitb/notebook-d7a95f2d912a3ca751a8", "kernel_id": "28544"}, {"ref": "datajourneyman/user-data-exploration", "kernel_id": "31351"}, {"ref": "datajourneyman/notebook-3afd9f3a088f0896c890", "kernel_id": "31352"}, {"ref": "datajourneyman/notebook-3c312f6c8d0a89818cbb", "kernel_id": "33635"}, {"ref": "datajourneyman/notebook-c8fe147c5bc848cea3d0", "kernel_id": "33636"}, {"ref": "wonglkd/notebook-d2dbcf463111698d4b9d", "kernel_id": "25782"}, {"ref": "davidsch/notebook-40ebb16198c3fbab2cf4", "kernel_id": "28549"}, {"ref": "nkhuyu/script-0-1", "kernel_id": "33841"}, {"ref": "nkhuyu/three-level-classification-architecture", "kernel_id": "45267"}, {"ref": "dsoreo/notebook-7d246741f975db366acb", "kernel_id": "34142"}, {"ref": "superdatamonger/notebook-e10b6acec1f095de3abc", "kernel_id": "26596"}, {"ref": "geekyviccoo/three-level-classification-architecture", "kernel_id": "45649"}, {"ref": "fuxinyi/airbnb-user-bookings", "kernel_id": "31539"}, {"ref": "fuxinyi/notebook-f34a01ac92408b774073", "kernel_id": "31371"}, {"ref": "fuxinyi/notebook-e5b2228320e9d96e7872", "kernel_id": "31372"}, {"ref": "fuxinyi/explore", "kernel_id": "31367"}, {"ref": "santiagomota/user-data-exploration", "kernel_id": "36658"}, {"ref": "sbykau/notebook-c2bab4245f73cb530cb4", "kernel_id": "33035"}, {"ref": "svendegroeve/airbnb-notebook", "kernel_id": "26518"}, {"ref": "svendegroeve/notebook-8d157c9346838e09b358", "kernel_id": "26519"}, {"ref": "svendegroeve/notebook-ca55bf021ca850705b33", "kernel_id": "26520"}, {"ref": "anuragreddygv323/three-level-classification-architecture", "kernel_id": "52271"}, {"ref": "anuragreddygv323/airbnb-exploratory-analysis", "kernel_id": "37372"}, {"ref": "ustcwupan/airbnb-user-bookings", "kernel_id": "28733"}, {"ref": "joetheshow/notebook-5347344352e333c89964", "kernel_id": "32993"}, {"ref": "joetheshow/airbnb-visualizations", "kernel_id": "32994"}, {"ref": "ivelin/notebook-7b88a1e96cab9ceb1eec", "kernel_id": "31297"}, {"ref": "niranjansonachalam/airbnb", "kernel_id": "31420"}, {"ref": "niranjansonachalam/notebook-3d0fb987ae1d27e31c22", "kernel_id": "31423"}, {"ref": "retroam/notebook-f8bce5d76f9fa8c32e83", "kernel_id": "27392"}, {"ref": "retroam/airbnb", "kernel_id": "27393"}, {"ref": "retroam/notebook-08693f337a0829b78f09", "kernel_id": "27388"}, {"ref": "retroam/notebook-0b97ab7fa9e66395bccc", "kernel_id": "27379"}, {"ref": "vojnovski/notebook-03db34fec751af0f7883", "kernel_id": "27669"}, {"ref": "vojnovski/blabla", "kernel_id": "27670"}, {"ref": "vojnovski/notebook-40585449b35feacfdcb8", "kernel_id": "27674"}, {"ref": "vojnovski/notebook-a0755cd2cadf00ab94f9", "kernel_id": "27675"}, {"ref": "vojnovski/notebook-4b7ff81fd58c591cbc9b", "kernel_id": "27676"}, {"ref": "vojnovski/notebook-9dd4c4eeb9508d5e192f", "kernel_id": "27743"}, {"ref": "lidanyu18/three-level-classification-architecture", "kernel_id": "111417"}, {"ref": "manishranjan/notebook-f29013b8bb81016666d1", "kernel_id": "47745"}, {"ref": "dataesh/notebook-815792a31dc61b60c65e", "kernel_id": "31740"}, {"ref": "laugher/notebook-e36d1d6417299a39e1ff", "kernel_id": "48572"}, {"ref": "laugher/notebook-a60a2fa830b9b7799298", "kernel_id": "48576"}, {"ref": "laugher/user-data-exploration", "kernel_id": "48512"}, {"ref": "laugher/notebook-18af057ccbf93dd31086", "kernel_id": "48569"}, {"ref": "laugher/notebook-bcc76bb86280b5dcf3ed", "kernel_id": "51494"}, {"ref": "laugher/airbnb-exploratory-analysis", "kernel_id": "52275"}, {"ref": "gmooney/user-data-exploration", "kernel_id": "47867"}, {"ref": "yashasbharadwaj/script", "kernel_id": "30073"}, {"ref": "yashasbharadwaj/1st-r", "kernel_id": "30071"}, {"ref": "bahrunnur/notebook-b7d5fbf80a75f1c632bf", "kernel_id": "26796"}, {"ref": "gjtucker/notebook-a4bb3d2d31099df75fc8", "kernel_id": "31299"}, {"ref": "calaba/testric", "kernel_id": "28159"}, {"ref": "stevenwong15/notebook-981e6e14bb17ddc97d63", "kernel_id": "30256"}, {"ref": "williamwang/test-william", "kernel_id": "31726"}, {"ref": "williamwang/notebook-2af1fef040240fb42593", "kernel_id": "31897"}, {"ref": "williamwang/xing-wang-test", "kernel_id": "31898"}, {"ref": "cadretedata/notebook-7fe14b6c1a1e81db17ea", "kernel_id": "26195"}, {"ref": "mihobu/my-airbnb-workbook", "kernel_id": "33138"}, {"ref": "datadave/ndcg-score-r", "kernel_id": "28781"}, {"ref": "datadave/check-training-data-in-kaggle-scripts", "kernel_id": "30006"}, {"ref": "datadave/z-scores-for-lb-benchmarks-vs-traininig", "kernel_id": "29969"}, {"ref": "jsaadani/notebook-2a8b82c57bc054ea3f59", "kernel_id": "26739"}, {"ref": "jsaadani/notebook-84136db51dcce86a0d4d", "kernel_id": "26741"}, {"ref": "wallinm1/script-0-1", "kernel_id": "28855"}, {"ref": "rashmimahadevaiah/notebook-a3dacdcd89a98451ab64", "kernel_id": "28052"}, {"ref": "kaysuh/notebook-78102e4dee1011c69af7", "kernel_id": "26489"}, {"ref": "kaysuh/notebook-bd91c21f974cdd18a7a8", "kernel_id": "26490"}, {"ref": "amolsharma99/notebook-94a6e834dc4878dd1c4b", "kernel_id": "30748"}, {"ref": "dmoliveira/notebook-4a632c49242cb04b7299", "kernel_id": "31967"}, {"ref": "dmoliveira/airbnb-v2-first-predicts", "kernel_id": "33845"}, {"ref": "dmoliveira/notebook-1ac07e0d4648a81d76e8", "kernel_id": "33656"}, {"ref": "caohaiyuan/notebook-cf551b172cf8c65fd406", "kernel_id": "25888"}, {"ref": "willso/notebook-2cead85126b9509d8fdc", "kernel_id": "26708"}, {"ref": "rouseguy/three-level-classification-architecture", "kernel_id": "54342"}, {"ref": "rouseguy/notebook-6e690b54bffea99c69ac", "kernel_id": "54343"}, {"ref": "samalallover/notebook-82738211ee033fa9f540", "kernel_id": "26511"}, {"ref": "learningmarkus/user-data-exploration", "kernel_id": "120549"}, {"ref": "helenatan/notebook-74ce00fa814eba82dcc9", "kernel_id": "31339"}, {"ref": "ghegoo/notebook-59577ac3a3e1552a882b", "kernel_id": "28634"}, {"ref": "ghegoo/notebook-de52179d7356777e5eb3", "kernel_id": "28635"}, {"ref": "rafaan/notebook-104cfa88c75f543562c0", "kernel_id": "25803"}, {"ref": "jjdblast/three-level-classification-architecture", "kernel_id": "65233"}, {"ref": "lnicalo/test1", "kernel_id": "25771"}, {"ref": "sbairishal/xgboost", "kernel_id": "36348"}, {"ref": "sbennett/notebook-f9f81d3bce8c643f5fe1", "kernel_id": "26444"}, {"ref": "arunyadav/notebook-598e065f4cc6195d1c34", "kernel_id": "33831"}, {"ref": "arunyadav/notebook-c317fe85eaba2935cead", "kernel_id": "33832"}, {"ref": "arunyadav/automated-data-visualization", "kernel_id": "33526"}, {"ref": "arunyadav/notebook-5242f6bebc7e0cae37cf", "kernel_id": "33523"}, {"ref": "suvrathiran/airbnb", "kernel_id": "34591"}, {"ref": "seijiarmstrong/user-data-exploration", "kernel_id": "36603"}, {"ref": "seijiarmstrong/notebook-a745ce0cf8c26e6aaaf8", "kernel_id": "29183"}, {"ref": "superl33/script-0-8655", "kernel_id": "29604"}, {"ref": "superl33/notebook-a7d13450576b8eaa3278", "kernel_id": "29607"}, {"ref": "advnturecaptlst/airbnb-r", "kernel_id": "29776"}, {"ref": "palash/notebook-983a3ae48184a9cda556", "kernel_id": "39120"}, {"ref": "telegram/notebook-1746dd4251b04769f93f", "kernel_id": "25876"}, {"ref": "syleeie/notebook-d7ec102d3d5c776bb2d0", "kernel_id": "37288"}, {"ref": "crims0nspirit/notebook-2226b09d0a92611ea4d9", "kernel_id": "36596"}, {"ref": "heaven/airbnb-visualizations", "kernel_id": "34180"}, {"ref": "chandrasen/notebook-852a7b3986e7b49264b1", "kernel_id": "33581"}, {"ref": "chandrasen/user-data-exploration", "kernel_id": "33530"}, {"ref": "chandrasen/notebook-d4b354595ec5e9f4a7da", "kernel_id": "33539"}, {"ref": "shenzhun/notebook-76c692c714941db96e82", "kernel_id": "27143"}, {"ref": "shenzhun/notebook-3f237d79a666474cb860", "kernel_id": "27331"}, {"ref": "adammer/airbnb-exploratory-analysis", "kernel_id": "37440"}, {"ref": "adammer/notebook-62e2a33ec5bbe701c051", "kernel_id": "37443"}, {"ref": "antimage/notebook-67f5ca37f7ce3e29f6e7", "kernel_id": "34746"}, {"ref": "antimage/data-analysis-by-sylar", "kernel_id": "34747"}, {"ref": "ugur47/notebook-2880c37a9ecc5bd1d8ee", "kernel_id": "29358"}, {"ref": "pwang017/notebook-2793da34d638e2b5cfde", "kernel_id": "25639"}, {"ref": "svashishtha/create-all-categorical-dummy-variables", "kernel_id": "36178"}, {"ref": "pushpendrasingh/cross-val-score-for-sklearn-classifiers", "kernel_id": "37631"}, {"ref": "gittu420/airbnb-notebook", "kernel_id": "26689"}, {"ref": "fabienvauchelles/notebook-d345c67cd1763fe57304", "kernel_id": "29559"}, {"ref": "fabienvauchelles/notebook-6b5c7327a57a9ba65829", "kernel_id": "29555"}, {"ref": "fabienvauchelles/user-data-exploration", "kernel_id": "29549"}, {"ref": "yifanxie/three-level-classification-architecture", "kernel_id": "59402"}, {"ref": "axplusb/baseline-uniform-predictions-0-85359", "kernel_id": "31880"}, {"ref": "vikas12april/three-level-classification-architecture", "kernel_id": "46219"}, {"ref": "pritipatra/rscript-0-86547-1000x-faster-output", "kernel_id": "38016"}, {"ref": "eransom/new-script", "kernel_id": "36698"}, {"ref": "aansar/notebook-b149ad075359a19166eb", "kernel_id": "32820"}, {"ref": "ajmetalhead/simple-air-bnb-prediction-using-decision-tree", "kernel_id": "307488"}, {"ref": "gf808080/notebook-96cc85e2a3e6c755b1d7", "kernel_id": "35066"}, {"ref": "bellafera/notebookacbab6d45d", "kernel_id": "120949"}, {"ref": "mohdatir/script-test", "kernel_id": "28444"}, {"ref": "mohdatir/rscript-test", "kernel_id": "28448"}, {"ref": "mohdatir/rscript-0-86547", "kernel_id": "29522"}, {"ref": "mohdatir/ndcg-score-r", "kernel_id": "29523"}, {"ref": "saurfang/notebook-6b73d32a10e00f4fed2b", "kernel_id": "37721"}, {"ref": "hasanmujtaba/user-data-exploration", "kernel_id": "30859"}, {"ref": "karlsurmacz/notebook-6882c71153d65aa131fb", "kernel_id": "32253"}, {"ref": "karlsurmacz/notebook-ba425a7e332f4ea39125", "kernel_id": "32254"}, {"ref": "karlsurmacz/firstmodelbuild", "kernel_id": "32246"}, {"ref": "karlsurmacz/bnbdataexplore", "kernel_id": "32230"}, {"ref": "sushize/ndcg-score-r-global-top5", "kernel_id": "38062"}, {"ref": "sushize/ncdg-customized-eval-metric-xgboost", "kernel_id": "37892"}, {"ref": "potterxu/notebook-a1ff05d795b6775bf060", "kernel_id": "53002"}, {"ref": "potterxu/notebook-27cf0f5efb6f5658c919", "kernel_id": "53175"}, {"ref": "potterxu/notebook-103402b733f616106426", "kernel_id": "53146"}, {"ref": "potterxu/notebook-7de3646550670dea5a3b", "kernel_id": "53424"}, {"ref": "potterxu/notebook-2a186a358c94653e3bc2", "kernel_id": "53410"}, {"ref": "potterxu/r-demo", "kernel_id": "52723"}, {"ref": "potterxu/notebook-b19c2a20c8eed5ed8d8f", "kernel_id": "52738"}, {"ref": "potterxu/python-air4-11", "kernel_id": "52740"}, {"ref": "yogeshkauntia/notebook-062debb885ba7d362397", "kernel_id": "31142"}, {"ref": "luckyanchal/anchal", "kernel_id": "30557"}, {"ref": "luckyanchal/notebook-3e9bb215f9212ce925ff", "kernel_id": "25913"}, {"ref": "yyamamoto/notebook-fcaa4131d2608e1a2e03", "kernel_id": "25885"}, {"ref": "yyamamoto/expolatory-analysis-and-aggregations", "kernel_id": "38485"}, {"ref": "amalhotra/notebookdbde9b1a39", "kernel_id": "268061"}, {"ref": "thund3r/notebook-4d015733f1478185c853", "kernel_id": "26627"}, {"ref": "aikinogard/notebook-6e327df82de39ce5949b", "kernel_id": "33867"}, {"ref": "aikinogard/short", "kernel_id": "33868"}, {"ref": "aikinogard/nan-in-sessions", "kernel_id": "33097"}, {"ref": "aikinogard/notebook-aba85f8137853555cc75", "kernel_id": "26941"}, {"ref": "aikinogard/ndf-leak-short", "kernel_id": "26943"}, {"ref": "datapanda/notebook-c9b03c9e1ec71bb5e250", "kernel_id": "32519"}, {"ref": "luborliu/notebook-17ed7ef0863f99a1d20c", "kernel_id": "28516"}, {"ref": "luborliu/rscript-0-86547", "kernel_id": "28490"}, {"ref": "luborliu/script-0-8655", "kernel_id": "28497"}, {"ref": "pappukrjha/data-exploration", "kernel_id": "27085"}, {"ref": "pappukrjha/script-0-8655", "kernel_id": "29213"}, {"ref": "pappukrjha/notebook-ded6a905e5edc0d01cd8", "kernel_id": "29214"}, {"ref": "pappukrjha/notebook-eba30822a49c5747b396", "kernel_id": "29217"}, {"ref": "pappukrjha/airbnb-nb", "kernel_id": "29218"}, {"ref": "pappukrjha/session-data", "kernel_id": "28038"}, {"ref": "pappukrjha/raw-model", "kernel_id": "28021"}, {"ref": "mittko/notebook-fb1a464408261dfda768", "kernel_id": "25773"}, {"ref": "vincnet/notebook-6c53a01e84a9cef1a9e3", "kernel_id": "27926"}, {"ref": "vincnet/let-s-combine", "kernel_id": "34626"}, {"ref": "vincnet/notebook-66ac10bc20f401f364da", "kernel_id": "35025"}, {"ref": "vincnet/script-0-8655-reshaped", "kernel_id": "32294"}, {"ref": "vincnet/script-all", "kernel_id": "36017"}, {"ref": "vincnet/binarydest", "kernel_id": "36020"}, {"ref": "vincnet/user-data-exploration", "kernel_id": "35391"}, {"ref": "vincnet/notebook-85b0528014bfd8c9b513", "kernel_id": "35392"}, {"ref": "vincnet/exploration", "kernel_id": "35403"}, {"ref": "vincnet/testf", "kernel_id": "35319"}, {"ref": "vincnet/notebook-f7c9d50fc832aac96ed1", "kernel_id": "35062"}, {"ref": "vincnet/testd", "kernel_id": "35146"}, {"ref": "vincnet/notebook-e22bb7cab0f5a45252e1", "kernel_id": "35197"}, {"ref": "vincnet/notebook-74c67b59649bd20c3453", "kernel_id": "35559"}, {"ref": "vincnet/notebook-47c7cf0337c198efef15", "kernel_id": "35560"}, {"ref": "vincnet/notebook-ce4ed90d96091ece38d7", "kernel_id": "35562"}, {"ref": "champikagamage/ndcg-xgboost-100x-faster-output-submis", "kernel_id": "38198"}, {"ref": "giserxi/notebook-31e230a38eb675b041d6", "kernel_id": "31275"}, {"ref": "julr21/notebook-b2fa1c52560f520d5d7e", "kernel_id": "46795"}, {"ref": "julr21/notebook-07c58574b36b78775340", "kernel_id": "46796"}, {"ref": "julr21/three-level-classification-architecture", "kernel_id": "46797"}, {"ref": "julr21/notebook-35dcdcac863b655c3c74", "kernel_id": "46798"}, {"ref": "guhao1993/notebook-ae50e0ce7b5a915860c4", "kernel_id": "45398"}, {"ref": "michaelpawlus/xgb-feature-exploration", "kernel_id": "37850"}, {"ref": "michaelpawlus/explore", "kernel_id": "27969"}, {"ref": "adamds/notebook-616c6083ee6e7dbe7b26", "kernel_id": "28335"}, {"ref": "elliotw/notebook-6f0da5b78ec2528970ca", "kernel_id": "33833"}, {"ref": "elliotw/airbnb-user-bookings", "kernel_id": "33834"}, {"ref": "pinocchio/notebook-bd14feb92538ff63ee0a", "kernel_id": "37587"}, {"ref": "harnalashok/notebook482ae0e516", "kernel_id": "243699"}, {"ref": "saatetyi/notebook-c27528ca9ad1f29c1802", "kernel_id": "26661"}, {"ref": "spencerb/notebook-6d8b6f5e4c1a63cb92c4", "kernel_id": "29130"}, {"ref": "korder/first-test-script", "kernel_id": "35826"}, {"ref": "korder/notebook-f9fe53a2c73d4a8c7431", "kernel_id": "35834"}, {"ref": "korder/test-notebook", "kernel_id": "35835"}, {"ref": "korder/test-notebook-2", "kernel_id": "35837"}, {"ref": "korder/notebook-1d57e21f0fc40b8a361e", "kernel_id": "35824"}, {"ref": "jetblack/user-data-exploration", "kernel_id": "36505"}, {"ref": "danielbeckstein/preprocessing-the-data", "kernel_id": "26555"}, {"ref": "danielbeckstein/test-1", "kernel_id": "26556"}, {"ref": "danielbeckstein/notebook-32775d64bdd7749a0e3d", "kernel_id": "26557"}, {"ref": "danielbeckstein/test-1a", "kernel_id": "26558"}, {"ref": "danielbeckstein/notebook-908e7201e823dec630ce", "kernel_id": "26559"}, {"ref": "anishshah/notebook-87b39b5deb9182b097bb", "kernel_id": "34467"}, {"ref": "barrosm/notebook-16708b2af96ca113c457", "kernel_id": "28513"}, {"ref": "barrosm/notebook-1b907634f2e0bd3f1330", "kernel_id": "28482"}, {"ref": "josephpeng/user-data-exploration", "kernel_id": "35393"}, {"ref": "josephpeng/three-level-classification-architecture", "kernel_id": "49595"}, {"ref": "josephpeng/notebook-63be42d1dbd96dd98815", "kernel_id": "51135"}, {"ref": "etherqua/airbnbdemo", "kernel_id": "28336"}, {"ref": "etherqua/feature-study", "kernel_id": "29964"}, {"ref": "etherqua/user-data-exploration", "kernel_id": "29984"}, {"ref": "etherqua/random-forrest", "kernel_id": "29973"}, {"ref": "totalrecall/notebook-c8ae99026350b4e1d258", "kernel_id": "27374"}, {"ref": "totalrecall/getting-started", "kernel_id": "27260"}, {"ref": "totalrecall/notebook-05786fef8bce9d124dfc", "kernel_id": "32680"}, {"ref": "totalrecall/notebook-e624df50b9456cae5f18", "kernel_id": "32734"}, {"ref": "totalrecall/notebook-5fbd323649c660b04a07", "kernel_id": "32724"}, {"ref": "totalrecall/notebook-1727a9df9ece5f0bb5e1", "kernel_id": "32729"}, {"ref": "totalrecall/ttesttttt", "kernel_id": "32796"}, {"ref": "totalrecall/notebook-6a507b9552ae10e07633", "kernel_id": "29274"}, {"ref": "totalrecall/notebook-4b8ae6eaa7175dd23164", "kernel_id": "29275"}, {"ref": "totalrecall/notebook-69a3856f30d856bfaab7", "kernel_id": "29122"}, {"ref": "totalrecall/notebook-8687a5d4580ac3d8b165", "kernel_id": "29158"}, {"ref": "totalrecall/notebook-09a396a9837059475625", "kernel_id": "29911"}, {"ref": "totalrecall/notebook-c856520cda9d7ccfd2c7", "kernel_id": "29912"}, {"ref": "totalrecall/getting-started-1-0", "kernel_id": "29721"}, {"ref": "totalrecall/notebook-725ad01d0b03ad81a855", "kernel_id": "29718"}, {"ref": "totalrecall/notebook-2e86c17b965bff26f92c", "kernel_id": "29726"}, {"ref": "totalrecall/notebook-e2efcaf5ceb1b252c803", "kernel_id": "29512"}, {"ref": "totalrecall/notebook-3a8973ad9fe6ef5f1cf1", "kernel_id": "30901"}, {"ref": "totalrecall/notebook-65479ff17d78f6afd37e", "kernel_id": "30902"}, {"ref": "totalrecall/notebook-5e0ad5054fe1f791f042", "kernel_id": "30578"}, {"ref": "bankoninnovation/heatmap-accts-opened-over-time-by-age", "kernel_id": "31349"}, {"ref": "bibins/three-level-classification-architecture", "kernel_id": "45859"}, {"ref": "bibins/notebook-e41b9145ca4ef675bce7", "kernel_id": "45864"}, {"ref": "bibins/notebook-34f31718453eed48e7d2", "kernel_id": "45871"}, {"ref": "dranove/ncdg-customized-eval-metric-xgboost", "kernel_id": "37500"}, {"ref": "flaing/notebook-7ffc21e09c618036f604", "kernel_id": "25915"}, {"ref": "kesamet/script-0-8655", "kernel_id": "33661"}, {"ref": "kesamet/xgb-test3-1", "kernel_id": "34726"}, {"ref": "analyticsbynick/notebook-2ca45997fd0c88d8619f", "kernel_id": "34936"}, {"ref": "analyticsbynick/notebook-11a945a68a0ce14aac10", "kernel_id": "34837"}, {"ref": "analyticsbynick/notebook-3869d7bf1fa63ef2ba70", "kernel_id": "33422"}, {"ref": "analyticsbynick/notebook-438b0ca6c62d2baadd9d", "kernel_id": "33859"}, {"ref": "analyticsbynick/notebook-5c73b09a54c619d0d77d", "kernel_id": "35812"}, {"ref": "sweetsyrup/notebook-fa65239f1375276754b3", "kernel_id": "25948"}, {"ref": "sweetsyrup/airbnb-eda", "kernel_id": "25950"}, {"ref": "sweetsyrup/notebook-354b0494256968ea9da7", "kernel_id": "25951"}, {"ref": "sweetsyrup/notebook-7c5c0629d5479586c727", "kernel_id": "27303"}, {"ref": "sweetsyrup/notebook-5e57e59f01677a2e7804", "kernel_id": "27304"}, {"ref": "sweetsyrup/notebook-3ea7f7b3824ba5d0e7b6", "kernel_id": "31848"}, {"ref": "sweetsyrup/notebook-a0c3c8ebd9da2d882768", "kernel_id": "27749"}, {"ref": "sweetsyrup/notebook-3f4c55dfc4e028200438", "kernel_id": "27751"}, {"ref": "sweetsyrup/notebook-2eecb22a673916c4c6fb", "kernel_id": "79625"}, {"ref": "moiaussi06/airbnb-exploratory-analysis", "kernel_id": "38637"}, {"ref": "moiaussi06/sandbox", "kernel_id": "81336"}, {"ref": "moiaussi06/r-pilot", "kernel_id": "81345"}, {"ref": "stephenzou/first", "kernel_id": "52233"}, {"ref": "stephenzou/notebook-01e0ef109483153af7a6", "kernel_id": "52234"}, {"ref": "francescopochetti/notebook-5119fa52fdd5d6fc130a", "kernel_id": "32892"}, {"ref": "gromajus/notebook-cd2772692a25334289fc", "kernel_id": "33268"}, {"ref": "houssemfat/notebook-f288179cb49893f4b194", "kernel_id": "25906"}, {"ref": "kapetis/script-0-1", "kernel_id": "28515"}, {"ref": "kapetis/script-0", "kernel_id": "28493"}, {"ref": "kapetis/notebook-492edcce2e113dc42254", "kernel_id": "28517"}, {"ref": "ruslans/user-data-exploration", "kernel_id": "102381"}, {"ref": "lichao/notebook-de1841444fa98ba66f6d", "kernel_id": "37489"}, {"ref": "leveller/user-data-exploration", "kernel_id": "30346"}, {"ref": "kimseonbin/notebookbe2f45f0f9", "kernel_id": "159701"}, {"ref": "kalando/user-data-exploration", "kernel_id": "29910"}, {"ref": "srwalker101/srw-test", "kernel_id": "29566"}, {"ref": "aditya6992/notebook-cedb1d191c2d68095c42", "kernel_id": "30388"}, {"ref": "azure31/notebook-c195ef14249066317cac", "kernel_id": "30798"}, {"ref": "azure31/notebook-d98f766c38b85f79c09e", "kernel_id": "30799"}, {"ref": "ianxxiao/three-level-classification-architecture", "kernel_id": "48063"}, {"ref": "bguberfain/notebook-be2a039ec6c6fc2f8c22", "kernel_id": "32541"}, {"ref": "bguberfain/explore-sessions", "kernel_id": "32543"}, {"ref": "bguberfain/bogus-date", "kernel_id": "36544"}, {"ref": "dscientist/notebook-5049e2063c8ebdd4b3f1", "kernel_id": "32891"}, {"ref": "dscientist/user-data-exploration", "kernel_id": "32889"}, {"ref": "garrettcj/airbnb1-1", "kernel_id": "34999"}, {"ref": "simpleliquids/notebook-c763e0adc1192aa53752", "kernel_id": "33148"}, {"ref": "simpleliquids/automated-data-visualization", "kernel_id": "33150"}, {"ref": "simpleliquids/notebook-9ee6efade45bcfeb567a", "kernel_id": "33152"}, {"ref": "simpleliquids/munger-py", "kernel_id": "33154"}, {"ref": "abhishm/notebook-70aca93be316bb3f6987", "kernel_id": "33658"}, {"ref": "abhishm/notebook-449d2a3a762d96a871ff", "kernel_id": "31756"}, {"ref": "abhishm/notebook-7f73087854805e6ca570", "kernel_id": "31753"}, {"ref": "abhishm/learning-from-the-others-work-0-8665", "kernel_id": "31754"}, {"ref": "abhishm/notebook-0faf9cfd81f6bd3f61da", "kernel_id": "31747"}, {"ref": "abhishm/notebook-ee616094550a8291d3f0", "kernel_id": "31759"}, {"ref": "abhishm/notebook-b4a43eca5ba920fd0955", "kernel_id": "31791"}, {"ref": "abhishm/notebook-fbb13af33fe8cc69792c", "kernel_id": "32018"}, {"ref": "abhishm/notebook-9514dbd09329442bcaef", "kernel_id": "31505"}, {"ref": "abhishm/notebook-555b9f98fb4a56509d12", "kernel_id": "31507"}, {"ref": "abhishm/persistence", "kernel_id": "31510"}, {"ref": "abhishm/notebook-90b6a46d483d54b29025", "kernel_id": "31511"}, {"ref": "abhishm/notebook-ba0e23bc209f8dcc28ba", "kernel_id": "31513"}, {"ref": "abhishm/user-data-exploration", "kernel_id": "31515"}, {"ref": "abhishm/notebook-cb70b015075de9c08ce6", "kernel_id": "31529"}, {"ref": "abhishm/exploring-the-data", "kernel_id": "31531"}, {"ref": "abhishm/notebook-26b05aca90de7a1c4076", "kernel_id": "31521"}, {"ref": "abhishm/notebook-c4733f0e9431ce7109c3", "kernel_id": "31522"}, {"ref": "abhishm/notebook-4f7b4a991d6bd0264597", "kernel_id": "31519"}, {"ref": "abhishm/notebook-b4aa66de8e593efdef3e", "kernel_id": "32839"}, {"ref": "abhishm/notebook-fb751dfb1de9b5c9ea58", "kernel_id": "33082"}, {"ref": "watersafe/notebook-57278a322d9937c278a6", "kernel_id": "33340"}, {"ref": "apurandare/trial", "kernel_id": "30606"}, {"ref": "achillesliu/notebook-9031b142de539fba745f", "kernel_id": "32386"}, {"ref": "achillesliu/user-data-exploration", "kernel_id": "32388"}, {"ref": "anglipku/notebook-53deb9609b6a6a8ce723", "kernel_id": "30216"}, {"ref": "bikasha/notebook-7e70345e7a9edf27c41d", "kernel_id": "26026"}, {"ref": "zhangrui/airbnb-notebook", "kernel_id": "25856"}, {"ref": "zhangrui/notebook-12f9dee17f19c0df76a0", "kernel_id": "25857"}, {"ref": "zhangrui/notebook-e08949db277e92f838ef", "kernel_id": "25858"}, {"ref": "zhangrui/notebook-be7a91a8045a33dfcecf", "kernel_id": "25859"}, {"ref": "vikrams/user-data-exploration", "kernel_id": "32453"}, {"ref": "vikrams/rscript-0-86547-1000x-faster-output", "kernel_id": "32736"}, {"ref": "andylin512/three-level-classification-architecture", "kernel_id": "55974"}, {"ref": "vkostik0503/notebook-2b0f13590326a827781d", "kernel_id": "32295"}, {"ref": "vkostik0503/abcdef", "kernel_id": "32297"}, {"ref": "vkostik0503/notebook-72231322935385630a97", "kernel_id": "32301"}, {"ref": "vkostik0503/notebook-7fe7168642bc988f90f5", "kernel_id": "31941"}, {"ref": "sbenhamou/notebook-f648cfcfc521a28db4ea", "kernel_id": "39732"}, {"ref": "sbenhamou/testz", "kernel_id": "39733"}, {"ref": "hulkbulk/fisrtscript", "kernel_id": "25781"}, {"ref": "utah12005/user-data-exploration", "kernel_id": "31296"}, {"ref": "lkirch/examiningairbnbdata-r", "kernel_id": "36550"}, {"ref": "lkirch/examiningairbnbsessionsdata-r", "kernel_id": "36973"}, {"ref": "lkirch/ndcg-xgboost-100x-faster-output-submis", "kernel_id": "36974"}, {"ref": "leokmax/notebook-1db07fb3ee1ac4cc1ffd", "kernel_id": "25898"}, {"ref": "cvikas/user-data-exploration", "kernel_id": "31035"}, {"ref": "berwin/notebook-b3c53f6c260e3fe53feb", "kernel_id": "25836"}, {"ref": "ariaaay/notebook-51887969ac63fc5d6175", "kernel_id": "25917"}, {"ref": "liang7/notebook-6fb282778a6b31ccd231", "kernel_id": "31561"}, {"ref": "wangtongpeng/notebook-e24bb308907f2286a094", "kernel_id": "36292"}, {"ref": "wangtongpeng/notebook-fc75f307ebf9164c9d18", "kernel_id": "36482"}, {"ref": "wangtongpeng/notebook-5bb3f135e2e36b596d56", "kernel_id": "35868"}, {"ref": "wangtongpeng/notebook-951395531736cbec06a3", "kernel_id": "35870"}, {"ref": "wangtongpeng/notebook-6481b6385360f022f614", "kernel_id": "35871"}, {"ref": "nickbowman/ndcg-example", "kernel_id": "32675"}, {"ref": "chetanguevara/notebook-215f614ab7fe5ae319ad", "kernel_id": "30570"}, {"ref": "chetanguevara/notebook-5561fee0df4ba540e9bb", "kernel_id": "30504"}, {"ref": "abhowmick22/notebook-764ca8eafabde489752b", "kernel_id": "25964"}, {"ref": "jjayadeep/exploring-age-gender-bkts-csv", "kernel_id": "27780"}, {"ref": "jjayadeep/airbnb-user-bookings", "kernel_id": "27781"}, {"ref": "jjayadeep/notebook-e65e4fe90de739c571b1", "kernel_id": "27782"}, {"ref": "jjayadeep/notebook-c34dd6d120f1f8ad7771", "kernel_id": "27785"}, {"ref": "jjayadeep/notebook-fe7c5899165669a3de48", "kernel_id": "27786"}, {"ref": "ggorge/notebook-5fbcc7b6cd14f02a0e73", "kernel_id": "30730"}, {"ref": "itcheeban/notebook-a2a422b49acecf957eb7", "kernel_id": "25768"}, {"ref": "itcheeban/notebook-8894360f4bd479720e6b", "kernel_id": "25769"}, {"ref": "annavictoria/airbnb-visualizations", "kernel_id": "33582"}, {"ref": "andyzhang/airbnb-user-bookings", "kernel_id": "27328"}, {"ref": "weiwang/notebook-8191ba57028f764249be", "kernel_id": "29030"}, {"ref": "weiwang/notebook-1a47593c9be72d7746af", "kernel_id": "28849"}, {"ref": "weiwang/script-0-8655", "kernel_id": "28698"}, {"ref": "priyansu/notebook-eabf66269a7d62cdaceb", "kernel_id": "46560"}, {"ref": "priyansu/notebook-2471284975dad1358bc3", "kernel_id": "46561"}, {"ref": "priyansu/notebook-5e8e02048e93bc3410d1", "kernel_id": "46562"}, {"ref": "kylechen/notebook-68fc83b35a1c7a87f93b", "kernel_id": "28707"}, {"ref": "kylechen/testtest", "kernel_id": "28820"}, {"ref": "kylechen/notebook-b04eb231dad896be0990", "kernel_id": "28822"}, {"ref": "kylechen/naiveguess", "kernel_id": "28823"}, {"ref": "mayingying/notebook-1dfe4ae801cbbf515745", "kernel_id": "27015"}, {"ref": "miaoer/airbnb-exploratory-analysis", "kernel_id": "38101"}, {"ref": "liaksiejka/notebook-2af874cf27d3563dca19", "kernel_id": "27070"}, {"ref": "mingjerli/user-data-exploration", "kernel_id": "31603"}, {"ref": "tdcolorado/notebook-3b71c8a7796e37dd1886", "kernel_id": "32278"}, {"ref": "jyangdaily/user-data-exploration", "kernel_id": "32443"}, {"ref": "drreddy/notebook-7472a55bb90501ae23ab", "kernel_id": "28130"}, {"ref": "vigneshvenkatesan/notebook-d87f2804103c9aa2c3be", "kernel_id": "25818"}, {"ref": "sadhi009/user-data-exploration", "kernel_id": "30581"}, {"ref": "sadhi009/airbnb", "kernel_id": "30595"}, {"ref": "abhishekanand/notebook-324391d586a30407d18c", "kernel_id": "25758"}, {"ref": "nathan99/notebook-0f24a29da81493160398", "kernel_id": "26224"}, {"ref": "nathan99/notebook-d70e344fea91977bb90f", "kernel_id": "26237"}, {"ref": "nathan99/notebook-cd413ba1bfa30495c557", "kernel_id": "26215"}, {"ref": "nathan99/notebook-7b19f6cebbe62af8afa4", "kernel_id": "26218"}, {"ref": "nathan99/notebook-ca348da7c87988539441", "kernel_id": "26219"}, {"ref": "nathan99/notebook-feb54e4bb0887c9d39c7", "kernel_id": "26220"}, {"ref": "nathan99/notebook-08f20792dfeba7b34508", "kernel_id": "26221"}, {"ref": "nathan99/notebook-e34cb309487f09165f53", "kernel_id": "26207"}, {"ref": "alteralec/notebook-a8f9cd8960ab7d091650", "kernel_id": "30562"}, {"ref": "justfor/r-airbnb-play", "kernel_id": "35958"}, {"ref": "justfor/just-air-play", "kernel_id": "35945"}, {"ref": "justfor/airbnb-bin", "kernel_id": "36261"}, {"ref": "hawkman/airbnb-user-bookings", "kernel_id": "27870"}, {"ref": "hawkman/notebook-0305fab0ff094770e3a1", "kernel_id": "27872"}, {"ref": "barryes/notebook-3eb91bf4355c80af3ee2", "kernel_id": "25798"}, {"ref": "barryes/airbnb-user-bookings", "kernel_id": "27167"}, {"ref": "barryes/notebook-3cfe7d46f9b2a0f0eac4", "kernel_id": "27168"}, {"ref": "barryes/notebook-91795b960d08154d7711", "kernel_id": "27169"}, {"ref": "barryes/notebook-e696b65e69a86ada0d2e", "kernel_id": "27170"}, {"ref": "barryes/notebook-fc2f4e24c2c3ccc6086d", "kernel_id": "27171"}, {"ref": "barryes/notebook-e5818904891ba9211200", "kernel_id": "27172"}, {"ref": "barryes/notebook-59de9d844c404ee73080", "kernel_id": "27173"}, {"ref": "zrwang/notebook-69c1b23c1964fb90ad01", "kernel_id": "32580"}, {"ref": "anastasiyaromana/notebook-37e22ff3adb52490075f", "kernel_id": "30918"}, {"ref": "anastasiyaromana/xgboost-test", "kernel_id": "30921"}, {"ref": "anastasiyaromana/age-xgb-5classes", "kernel_id": "30923"}, {"ref": "arunreddy/notebook-73d438328c94b6bb32da", "kernel_id": "31321"}, {"ref": "arunreddy/notebook-886f0fe2bcd2ed173d03", "kernel_id": "31322"}, {"ref": "arunreddy/airbnb-data-analysis", "kernel_id": "31323"}, {"ref": "jayahl/notebook-77cb115a88aaf0b9d552", "kernel_id": "31024"}, {"ref": "zhugds/test-script", "kernel_id": "29081"}, {"ref": "kuangweizhang/notebook-9f385f21a55e01c512dc", "kernel_id": "34719"}, {"ref": "liangrc2012/notebookd683b24c0f", "kernel_id": "92934"}, {"ref": "blueangelzsy/notebook-077d8f2d814538fd6c89", "kernel_id": "36538"}, {"ref": "drawer/notebook-45fb867378d0d473ce03", "kernel_id": "37541"}, {"ref": "magic32npw/notebook-7ecb928426f08dc7ea2e", "kernel_id": "28719"}, {"ref": "dmatekenya/three-level-classification-architecture", "kernel_id": "49182"}, {"ref": "shtimwang/notebook-b8e818cb937d2203895c", "kernel_id": "27524"}, {"ref": "rubymb/airbnb-user-bookings", "kernel_id": "28342"}, {"ref": "rubymb/notebook-ba65c94e967aa21e82ed", "kernel_id": "28558"}, {"ref": "rubymb/notebook-84b3b606949df933fa8f", "kernel_id": "28609"}, {"ref": "rubymb/notebook-3778d09543a9044c6e46", "kernel_id": "30120"}, {"ref": "etaoin42/notebook-a293da6eb77bb9f80050", "kernel_id": "31983"}, {"ref": "yihming/notebook-6fd922bdf2a12fe9ee98", "kernel_id": "28401"}, {"ref": "chiuyeelau/airbnbbookings", "kernel_id": "30537"}, {"ref": "fabsta/user-data-exploration", "kernel_id": "50540"}, {"ref": "mlesna/notebook-ffaab70f9c76231e06e2", "kernel_id": "34660"}, {"ref": "mlesna/three-level-classification-architecture", "kernel_id": "47688"}, {"ref": "caaa81/notebook-626f204a37ef4d3a499c", "kernel_id": "26872"}, {"ref": "caaa81/baseline3", "kernel_id": "28526"}, {"ref": "caaa81/baseline2", "kernel_id": "28524"}, {"ref": "caaa81/otromas", "kernel_id": "28658"}, {"ref": "caaa81/rscript-0-86547", "kernel_id": "38188"}, {"ref": "caaa81/otra-prueba", "kernel_id": "35707"}, {"ref": "tboats/rscript-0-86547", "kernel_id": "33358"}, {"ref": "tboats/notebook-152710a95cc32b563db6", "kernel_id": "33356"}, {"ref": "nirajftw/notebook-fb90974933b98069fadb", "kernel_id": "25784"}, {"ref": "yib2irvine/ncdg-customized-eval-metric-xgboost", "kernel_id": "33018"}, {"ref": "yib2irvine/notebook-f302c5c4c7921d86d7ad", "kernel_id": "28948"}, {"ref": "yib2irvine/ndcg-xgboost-example", "kernel_id": "28949"}, {"ref": "headtomecca/notebook-c5ee5821562503327bcc", "kernel_id": "38850"}, {"ref": "jaredchung/three-level-classification-architecture", "kernel_id": "45272"}, {"ref": "jaredchung/notebook-5bbf47c51eab1644917b", "kernel_id": "56055"}, {"ref": "jaredchung/notebook-115fd1f721123c2c9fcf", "kernel_id": "56047"}, {"ref": "jaredchung/notebook-c9c30976a608d7649224", "kernel_id": "56024"}, {"ref": "jaredchung/notebook-a2393547a209523dcfd3", "kernel_id": "56021"}, {"ref": "jaredchung/understanding-stacking-generalisation", "kernel_id": "56009"}, {"ref": "jaredchung/notebook-63b81adc05007e0da1ae", "kernel_id": "60193"}, {"ref": "jaredchung/notebook-52379617ba260ffcc3e5", "kernel_id": "60221"}, {"ref": "jaredchung/testa", "kernel_id": "60216"}, {"ref": "jaredchung/notebook-4d76b1eb4d06e6750c03", "kernel_id": "60218"}, {"ref": "calavera/notebook-d9d0311829f3dfc2fca5", "kernel_id": "39360"}, {"ref": "calavera/airbnb-exploratory-analysis", "kernel_id": "39358"}, {"ref": "vivedha/notebook-008fb69b804b3ece2a1e", "kernel_id": "33235"}, {"ref": "vivedha/airbnb", "kernel_id": "33236"}, {"ref": "bogdad/notebook-8e58e1f4ef9d9c32e728", "kernel_id": "32542"}, {"ref": "thodime/backup-purpose-airbnb", "kernel_id": "46647"}, {"ref": "rajsekhar/user-data-exploration", "kernel_id": "29510"}, {"ref": "chinwee/notebook9f07287f69", "kernel_id": "116685"}, {"ref": "qinqin0912/notebook-4af8df53f80e9b2fea6c", "kernel_id": "30527"}, {"ref": "qinqin0912/notebook-aff389d75febd92af493", "kernel_id": "29159"}, {"ref": "jinxing/notebook-df0f26593c48d64b7da5", "kernel_id": "31449"}, {"ref": "turucuto/user-data-exploration", "kernel_id": "33960"}, {"ref": "saurabh24292/notebook-50a8acc96afaef6d9902", "kernel_id": "33770"}, {"ref": "juvion/user-data-exploration", "kernel_id": "45028"}, {"ref": "techstrix/notebook-6094deb0ddd830eb285f", "kernel_id": "34730"}, {"ref": "techstrix/airbnb", "kernel_id": "34731"}, {"ref": "techstrix/airbnb2", "kernel_id": "34732"}, {"ref": "jturkewitz/ndf-leak", "kernel_id": "26635"}, {"ref": "ngergoo/notebook-9d3933056d145adcc772", "kernel_id": "31975"}, {"ref": "pnallabe/airbnb-user-bookings", "kernel_id": "27156"}, {"ref": "pnallabe/notebook-bd068cedd1dc0a3f8fe9", "kernel_id": "27157"}, {"ref": "pgladkov/notebook-a47b449c8a3752452fd4", "kernel_id": "30367"}, {"ref": "pgladkov/notebook-3006d22ebefa7f393c68", "kernel_id": "48188"}, {"ref": "jerrylin/user-data-exploration", "kernel_id": "29893"}, {"ref": "tonygracious/user-data-exploration", "kernel_id": "32670"}, {"ref": "rohani/notebook-7d9953094a9153be72d3", "kernel_id": "28283"}, {"ref": "wexiao/notebook-8d3170c2a89b98a74272", "kernel_id": "33312"}, {"ref": "wexiao/notebook-73fefa05a77df647ddc8", "kernel_id": "30736"}, {"ref": "samliu/notebook-2bc6a7149ee16e85d9e9", "kernel_id": "36734"}, {"ref": "linstonybrook/airbnb-user-bookings", "kernel_id": "33219"}, {"ref": "linstonybrook/user-data-exploration", "kernel_id": "32430"}, {"ref": "jerrythomas/explore", "kernel_id": "37530"}, {"ref": "jerrythomas/user-data-exploration", "kernel_id": "33900"}, {"ref": "hanshan/user-data-exploration", "kernel_id": "30139"}, {"ref": "oliviers/notebook-5a1d81eedf68ae5deffa", "kernel_id": "30188"}, {"ref": "karma86/script-0", "kernel_id": "28361"}, {"ref": "pwilly/notebook-3834b54c734f7047318a", "kernel_id": "29956"}, {"ref": "pwilly/notebook-3fd5a477a37a94465622", "kernel_id": "29957"}, {"ref": "pwilly/notebook-2631f27f37b03d885f39", "kernel_id": "29988"}, {"ref": "maukae/notebook-803913e246438ae03f9f", "kernel_id": "36325"}, {"ref": "maukae/airbnb-exploratory-analysis", "kernel_id": "36330"}, {"ref": "datasj/checkingtestfile", "kernel_id": "27792"}, {"ref": "rsbkr333/feature-importance-w-xgboost", "kernel_id": "68482"}, {"ref": "bakerada/notebook-551d35e59058052d3a16", "kernel_id": "28097"}, {"ref": "goldenstate/notebook-9f998a1971cc82974ea4", "kernel_id": "30803"}, {"ref": "goldenstate/notebook-fc3858f6059d6f0d672a", "kernel_id": "33963"}, {"ref": "goldenstate/notebook-0ae13c843ad8286c7868", "kernel_id": "33650"}, {"ref": "goldenstate/notebook-b0ed98bb5860b3894ee6", "kernel_id": "33651"}, {"ref": "emmkog/learning-from-the-others-work-0-8665", "kernel_id": "33662"}, {"ref": "dloker/notebook-40e7ebf1c0af8d5b7174", "kernel_id": "36372"}, {"ref": "dloker/notebook-78747547957bc89c2309", "kernel_id": "36374"}, {"ref": "dloker/temp5", "kernel_id": "36376"}, {"ref": "dloker/notebook-a0488201ca2503b538ba", "kernel_id": "36380"}, {"ref": "chinmayaksahoo/notebook-6560962d83d07087e684", "kernel_id": "28496"}, {"ref": "khaledfayed/script-0-1kf", "kernel_id": "33555"}, {"ref": "achiiin/notebook-b098de1a459c6e7660c1", "kernel_id": "33758"}, {"ref": "solution/airbnb-user-bookings", "kernel_id": "31261"}, {"ref": "solution/notebook-d3113693178786e48429", "kernel_id": "28701"}, {"ref": "cdouay/notebook-afc39638ee42ac4b35c9", "kernel_id": "26205"}, {"ref": "cdouay/notebook-41707f0164f38d6bfd89", "kernel_id": "26206"}, {"ref": "raivin/notebook-7c2bc5e520e8d2c3fea9", "kernel_id": "29796"}, {"ref": "chensh08/three-level-classification-architecture", "kernel_id": "49295"}, {"ref": "haothecabbage/notebook-74ec337754956939cb69", "kernel_id": "33596"}, {"ref": "minsudanielkim/notebook-801846cc6002e0f52c0a", "kernel_id": "35808"}, {"ref": "davidgasquez/user-data-exploration", "kernel_id": "28981"}, {"ref": "davidgasquez/ndcg-scorer", "kernel_id": "33767"}, {"ref": "sdlane/first-attempt", "kernel_id": "32130"}, {"ref": "jayanth2803/notebook-91b06f628d6ca3cb995a", "kernel_id": "30343"}, {"ref": "mattkotkowski/notebook-8992d082cd38aff9bfec", "kernel_id": "36125"}, {"ref": "marjanmaz/notebook-e795dc9cbf39325034cb", "kernel_id": "35219"}, {"ref": "songjihyun/notebook-dfd133257be1c58b6c2c", "kernel_id": "28028"}, {"ref": "iuliaa/user-data-exploration", "kernel_id": "32572"}, {"ref": "hohobrothers/notebook-7f6e33b108d1b0e5e5b4", "kernel_id": "69414"}, {"ref": "dbsnail/airbnb", "kernel_id": "143114"}, {"ref": "zhouchangwei/aaaaa", "kernel_id": "28149"}, {"ref": "zhouchangwei/aaaaaa", "kernel_id": "28027"}, {"ref": "yuming408/notebook-632f63508f4043fe86f2", "kernel_id": "51748"}, {"ref": "cathyhuang/notebook-d9de8bcb360e7323eb3c", "kernel_id": "27250"}, {"ref": "tydaly/exploration", "kernel_id": "26981"}, {"ref": "mrtial/notebook-720da49bff5767e0ce47", "kernel_id": "27362"}, {"ref": "mrtial/notebook-b137a27ed35c9d2d1d42", "kernel_id": "34228"}, {"ref": "vsharipriya/notebook-318ed59549a415fcacd9", "kernel_id": "73496"}, {"ref": "vsharipriya/user-data-exploration", "kernel_id": "66092"}, {"ref": "xihuanzeng/notebook-6dfea9895ad236bcfbf6", "kernel_id": "34602"}, {"ref": "xihuanzeng/notebook-f2187854bef3170e682b", "kernel_id": "34603"}, {"ref": "xihuanzeng/notebook-cecee23fcee1d4b500f4", "kernel_id": "34589"}, {"ref": "xihuanzeng/notebook-146bf204211d0af31241", "kernel_id": "34590"}, {"ref": "xihuanzeng/notebook-26d85733fc9acc60c716", "kernel_id": "34617"}, {"ref": "alunmeredith/notebook-231654c94946dfb4f94a", "kernel_id": "56173"}, {"ref": "ehlyzov/notebook-13cc16dea6c4dbcb8325", "kernel_id": "31798"}, {"ref": "nclsbrl/notebook-07a1634a318f97de1f55", "kernel_id": "57758"}, {"ref": "nclsbrl/notebook-91f87af61a833c44c027", "kernel_id": "57759"}, {"ref": "xanvong/notebook-42a861fa7759c18367ae", "kernel_id": "33524"}, {"ref": "raynchen/notebook-105319e9e2317038beb9", "kernel_id": "56475"}, {"ref": "hoondori/notebook-61350c7b1f90660e24f8", "kernel_id": "31101"}, {"ref": "hoondori/user-data-exploration", "kernel_id": "30596"}, {"ref": "hoondori/notebook-8710abe373e19bdf7334", "kernel_id": "30597"}, {"ref": "hoondori/notebook-019431a2d8ebdd864a7d", "kernel_id": "30598"}, {"ref": "hoondori/notebook-b85648ef501ba6454fcd", "kernel_id": "30599"}, {"ref": "hoondori/notebook-cae663ce6791020919f9", "kernel_id": "30600"}, {"ref": "hoondori/notebook-1d4a42e3119191e3911e", "kernel_id": "30601"}, {"ref": "azsefi/three-level-classification-architecture", "kernel_id": "45952"}, {"ref": "quentindurantay/notebook-7b63709d120e36f0e947", "kernel_id": "25789"}, {"ref": "kofiboakye/airbnb-user-bookings", "kernel_id": "27846"}, {"ref": "randombishop/leaderboard-shakeup", "kernel_id": "38273"}, {"ref": "rocipher/learning-from-the-others-work-0-8665", "kernel_id": "32062"}, {"ref": "kou665/notebook-1c624a13d689d539db4f", "kernel_id": "36185"}, {"ref": "naurixlv/notebook-e9437098daf70c3463e3", "kernel_id": "25778"}, {"ref": "vlandeiro/user-data-exploration", "kernel_id": "47279"}, {"ref": "bendyna/gradient-boosting-classifier-0-863", "kernel_id": "33481"}, {"ref": "krusader/airbnb-new-user-booking", "kernel_id": "103909"}, {"ref": "tushspeed/notebook-90120c246b0640d5913b", "kernel_id": "25886"}, {"ref": "paullo0106/rscript-0-86547-1000x-faster-output", "kernel_id": "31980"}, {"ref": "paullo0106/ndcg-xgboost-100x-faster-output-submis", "kernel_id": "31982"}, {"ref": "paullo0106/comebine-users-and-sessions-data", "kernel_id": "29670"}, {"ref": "ssukhanov/airbnb-exploratory-analysis", "kernel_id": "46215"}, {"ref": "ssukhanov/notebook-8a5005813d1874a51e57", "kernel_id": "45930"}, {"ref": "nikseldon/asusual-01", "kernel_id": "38230"}, {"ref": "cindy660109/notebook-1980b339b7458f34a6f8", "kernel_id": "31909"}, {"ref": "chengcen/notebook-a5e2d802400bf92878d5", "kernel_id": "68171"}, {"ref": "chengcen/notebook-47349ce70cfe41b13299", "kernel_id": "64981"}, {"ref": "chengcen/notebook-225672bc45b1a76e298d", "kernel_id": "54354"}, {"ref": "chengcen/user-data-exploration", "kernel_id": "46255"}, {"ref": "chengcen/notebook-5ebb5bfbf8b0c1c6db35", "kernel_id": "46350"}, {"ref": "chengcen/notebook-b20ddd39c92eb84faa12", "kernel_id": "81328"}, {"ref": "chengcen/notebook-edee20c65c19fbe24a87", "kernel_id": "79579"}, {"ref": "roguemycologist/notebook-ac6db8d102d3dc76d806", "kernel_id": "29449"}, {"ref": "nil3kaggle/airbnb-data-exploration-in-r", "kernel_id": "27271"}, {"ref": "ercfermi/notebook-a569e50d7cf6cccbbd81", "kernel_id": "31015"}, {"ref": "geauxeric/user-data-exploration", "kernel_id": "31203"}, {"ref": "geauxeric/notebook-d99d2fc8e2c6ead95242", "kernel_id": "31204"}, {"ref": "geauxeric/notebook-2ee86570de685fb36d28", "kernel_id": "31205"}, {"ref": "geauxeric/notebook-307078072c5ba88aa031", "kernel_id": "31206"}, {"ref": "snowneji/notebook-e1ec503ad53b7f99c019", "kernel_id": "31429"}, {"ref": "msaroufim/notebook-6acd2d3b0c38513b33ac", "kernel_id": "26564"}, {"ref": "msaroufim/notebook-db6b1ae3e45eaf6ec436", "kernel_id": "26565"}, {"ref": "msaroufim/airbnb", "kernel_id": "29783"}, {"ref": "msaroufim/airbnb-user-bookings", "kernel_id": "29793"}, {"ref": "joseluso/notebook-94737848437e4852c70b", "kernel_id": "27535"}, {"ref": "zeagline/notebook-366631929c9264292b78", "kernel_id": "34969"}, {"ref": "zeagline/notebook-f6d763d6372fc18ca550", "kernel_id": "34866"}, {"ref": "zeagline/notebook-f1ecc4531dd81a67f941", "kernel_id": "34862"}, {"ref": "zeagline/have-a-try", "kernel_id": "35314"}, {"ref": "rinocjohnson/notebook-1914e0203d9f88a0a7b8", "kernel_id": "25775"}, {"ref": "meicher/predicting-first-destination-4-models", "kernel_id": "571009"}, {"ref": "playin10is/notebook-c053cccec7ec414f2c02", "kernel_id": "38110"}, {"ref": "zveroloff/notebook-b17a27b9d52b58aeaa85", "kernel_id": "36579"}, {"ref": "piakarski/beginning", "kernel_id": "125256"}, {"ref": "piakarski/first-competition", "kernel_id": "125257"}, {"ref": "piakarski/notebookff460f5a32", "kernel_id": "125253"}, {"ref": "varshaamuthuraman/notebook-f7131796c3ac18bc5a5c", "kernel_id": "31751"}, {"ref": "varshaamuthuraman/notebook-2dc482e6913cab605ef2", "kernel_id": "31748"}, {"ref": "vlandeau/user-data-exploration", "kernel_id": "31938"}, {"ref": "xanderhorn/notebook-7842fb16331cc908e8ea", "kernel_id": "32336"}, {"ref": "xanderhorn/pre-processing-and-aggregation", "kernel_id": "32337"}, {"ref": "judejin/airbnb-v2-first-predicts", "kernel_id": "34427"}, {"ref": "pratapdangeti/ndcg-xgboost-example", "kernel_id": "30757"}, {"ref": "chelo26/notebook-c160b56df6ea359a292f", "kernel_id": "38233"}, {"ref": "chelo26/notebook-df448d6aff0e7443991d", "kernel_id": "37627"}, {"ref": "chelo26/notebook-ac2f0d110f23e4b4f951", "kernel_id": "37628"}, {"ref": "chelo26/notebook-764d90c876e8fc0e2346", "kernel_id": "38828"}, {"ref": "chelo26/notebook-51b56be609c23a9825c6", "kernel_id": "39552"}, {"ref": "chelo26/notebook-403069ec0e1554d0c44e", "kernel_id": "39553"}, {"ref": "chelo26/notebook-2fb65048e5de9d7d4e40", "kernel_id": "39534"}, {"ref": "chelo26/notebook-bfc109009b36b1272db2", "kernel_id": "39536"}, {"ref": "alexlzzz/script-al-8888", "kernel_id": "34777"}, {"ref": "functor/user-data-exploration", "kernel_id": "31050"}, {"ref": "appleholic/three-level-classification-architecture", "kernel_id": "51814"}, {"ref": "appleholic/notebook-89044c510a46b3e05edb", "kernel_id": "51815"}, {"ref": "appleholic/notebook-2789c3fac5516b162640", "kernel_id": "51816"}, {"ref": "dongjunlee/notebook-d97ffbe2909960dd65e5", "kernel_id": "73261"}, {"ref": "rajkumarbn/notebook-91976b8e490c9ae37e23", "kernel_id": "38192"}, {"ref": "chskumar0404/airbnb-user-bookings", "kernel_id": "32169"}, {"ref": "zihaozhang92/learning-from-the-others-work-0-8665", "kernel_id": "35350"}, {"ref": "zihaozhang92/notebook-05991713a48c4853c0da", "kernel_id": "35351"}, {"ref": "arttuk/notebook-8ded9a1283f584f54611", "kernel_id": "25967"}, {"ref": "djonafegnem/airbnb-data-analysis-in-r", "kernel_id": "31473"}, {"ref": "kevinwu06/notebook-cad491997da69e766081", "kernel_id": "31251"}, {"ref": "kevinwu06/notebook-a1afe65fe45f9897a85f", "kernel_id": "31873"}, {"ref": "kevinwu06/feature-importance-w-xgboost", "kernel_id": "32739"}, {"ref": "kevinwu06/airbnb-exploratory-analysis", "kernel_id": "35249"}, {"ref": "luojie2211/three-level-classification-architecture", "kernel_id": "62770"}, {"ref": "luojie2211/explore", "kernel_id": "29545"}, {"ref": "xhuang2014/airbnb-exploratory-analysis", "kernel_id": "37660"}, {"ref": "xhuang2014/notebook-dc64e7244606844330e6", "kernel_id": "37664"}, {"ref": "xhuang2014/notebook-3c8df802fd947caee431", "kernel_id": "37665"}, {"ref": "please/three-level-classification-architecture", "kernel_id": "45193"}, {"ref": "please/notebook-b29e2fcd8ad8e0b42abb", "kernel_id": "45194"}, {"ref": "please/notebook-cd94fa73a1e078ef4610", "kernel_id": "45196"}, {"ref": "please/notebook-351d1517ff3c8853fe6f", "kernel_id": "45197"}, {"ref": "achoumin/notebook-c423df5a16f8c8398c34", "kernel_id": "27201"}, {"ref": "psaraswat/notebook-2038c6506df372991517", "kernel_id": "28186"}, {"ref": "psaraswat/notebook-0a2e9a8f88576f834cb0", "kernel_id": "25800"}, {"ref": "psaraswat/notebook-0962d14f856b4cec4a8b", "kernel_id": "25801"}, {"ref": "soukaina/ndcg-example", "kernel_id": "29060"}, {"ref": "soukaina/notebook-bd254a226830c8b0c3bb", "kernel_id": "29061"}, {"ref": "ljbrahmas/notebook-be31d39c97e3a6395e53", "kernel_id": "39480"}, {"ref": "ljbrahmas/notebook-23aa26def7c05273b9a0", "kernel_id": "39481"}, {"ref": "shashank29/notebook-4dd5ccd5f4322253cb63", "kernel_id": "36790"}, {"ref": "frantz/notebook-46dc187ac8412f091aa3", "kernel_id": "26561"}, {"ref": "jiaonaxu/notebook-a110758904803b15c5cd", "kernel_id": "35862"}, {"ref": "myb800/notebook-c3fe4e6b2495f8b070d1", "kernel_id": "38269"}, {"ref": "phesami/notebook-a77102eb37e5c2aaf307", "kernel_id": "29415"}, {"ref": "zihexu/test01", "kernel_id": "31911"}, {"ref": "zihexu/notebook-8a53cc1df0594d14e318", "kernel_id": "31973"}, {"ref": "anusha39/notebook-fe763dc740fc9d4b85be", "kernel_id": "29939"}, {"ref": "camdenclark/notebook-fa0575bcce5ab9fe4c44", "kernel_id": "26028"}, {"ref": "camdenclark/notebook-78fcdd4db2fc5e01024b", "kernel_id": "27025"}, {"ref": "camdenclark/ipythontesting", "kernel_id": "27027"}, {"ref": "camdenclark/exploring-age-gender-bkts-csv", "kernel_id": "27092"}, {"ref": "camdenclark/notebook-c1b6f6dc02e82f98147e", "kernel_id": "27099"}, {"ref": "pasaitowitz/notebook-227d38eb249f4e2520b2", "kernel_id": "27723"}, {"ref": "kirbycircle/notebook-d97e182a3e49d83a4b7c", "kernel_id": "32216"}, {"ref": "kirbycircle/notebook-27bd4c56950a4d5774e3", "kernel_id": "32184"}, {"ref": "kirbycircle/readdatar", "kernel_id": "32212"}, {"ref": "kirbycircle/test1", "kernel_id": "32189"}, {"ref": "nbarrington/user-data-exploration", "kernel_id": "32623"}, {"ref": "ashokt/user-data-exploration", "kernel_id": "76551"}, {"ref": "zeliek/three-level-classification-architecture", "kernel_id": "46367"}, {"ref": "zeliek/notebook-af7f3883aedee2ed802a", "kernel_id": "46368"}, {"ref": "ravindrakumar11/notebook-0bee4c3a9d54f9f2c602", "kernel_id": "35842"}, {"ref": "bidhya/airbnb-exploratory-analysis", "kernel_id": "36616"}, {"ref": "allenbk/airbnb-user-bookings", "kernel_id": "26986"}, {"ref": "connect2amar/notebook-3a4490196a4099cae264", "kernel_id": "31235"}, {"ref": "juanlopez/first-script", "kernel_id": "29283"}, {"ref": "juanlopez/first-script1", "kernel_id": "29286"}, {"ref": "priyaragavi/notebook-a5fd21b5d107b851a67e", "kernel_id": "32197"}, {"ref": "sbhargava024/notebook-b59b8d2e6c83c651e882", "kernel_id": "30254"}, {"ref": "sbhargava024/notebook-aa3fd6b51b2a61469b6c", "kernel_id": "30273"}, {"ref": "sbhargava024/notebook-b35215043fbfe0b456b8", "kernel_id": "30274"}, {"ref": "sbhargava024/notebook-1a7ee320d58b48fec5d1", "kernel_id": "30275"}, {"ref": "ryankopa/airbnb-v2", "kernel_id": "33209"}, {"ref": "ryankopa/82result", "kernel_id": "34948"}, {"ref": "ryankopa/n-estimators-30", "kernel_id": "32013"}, {"ref": "ryankopa/learning-from-the-others-work-0-8665", "kernel_id": "31786"}, {"ref": "ryankopa/notebook-4a290555e35cde1cb7e2", "kernel_id": "31640"}, {"ref": "ryankopa/learning-rate-2", "kernel_id": "31641"}, {"ref": "ryankopa/rf1av", "kernel_id": "148423"}, {"ref": "bigdata1984/notebook-154f73820257f6d45939", "kernel_id": "36877"}, {"ref": "dumbris/notebook-6566ff9168a134bdc362", "kernel_id": "32355"}, {"ref": "ankitsingi/notebook-3b2472573e4d6518c10f", "kernel_id": "35273"}, {"ref": "wyshiwyshi/notebook-f0a55ef3ed55f3a949f1", "kernel_id": "36060"}, {"ref": "falakmarri/notebook-3b08f5741010d4de30bb", "kernel_id": "77241"}, {"ref": "falakmarri/notebook-eef5aeaf431bca0c9717", "kernel_id": "77242"}, {"ref": "falakmarri/notebook-2b01285b7b3c486d53b5", "kernel_id": "77243"}, {"ref": "falakmarri/notebook-86e7d2d7f81a0efd3715", "kernel_id": "77246"}, {"ref": "falakmarri/notebook-2160f480d8bc97dd30fd", "kernel_id": "77247"}, {"ref": "falakmarri/user-data-exploration", "kernel_id": "77248"}, {"ref": "falakmarri/testing-airbnb", "kernel_id": "77249"}, {"ref": "akmnua/notebook-fbf9c2a6a87add0b50bf", "kernel_id": "26239"}, {"ref": "bottleisland/notebook-0a235a98f5b00dfa0bcc", "kernel_id": "34265"}, {"ref": "bottleisland/xgboost-session", "kernel_id": "34266"}, {"ref": "chakrab2/notebook-0bd561f73c4783b4fae6", "kernel_id": "33182"}, {"ref": "jibybabu/script-0-8655", "kernel_id": "28102"}, {"ref": "ericvinck/notebook-c337075ef2127627c84e", "kernel_id": "27992"}, {"ref": "dietcoke/score-predictions-using-ndcg", "kernel_id": "27366"}, {"ref": "vincentclaes/notebook-da3f012010b4a8652737", "kernel_id": "35217"}, {"ref": "vincentclaes/notebook-43787998c104c838b6af", "kernel_id": "35034"}, {"ref": "vincentclaes/user-data-exploration", "kernel_id": "35006"}, {"ref": "kprinceing/notebook-bb4bc21334b87442db09", "kernel_id": "28085"}, {"ref": "kprinceing/notebook-a94b54331f896c9c5b97", "kernel_id": "28086"}, {"ref": "dujekmancin/user-data-exploration", "kernel_id": "57668"}, {"ref": "dujekmancin/notebook-d6dc38073cdb9481673a", "kernel_id": "57671"}, {"ref": "dujekmancin/notebook-283916eca55571caae76", "kernel_id": "57672"}, {"ref": "adioshun/getting-started-0-1", "kernel_id": "31189"}, {"ref": "tunguz/fisrtscript", "kernel_id": "25941"}, {"ref": "tunguz/script-0-8655", "kernel_id": "28292"}, {"ref": "andreeagotca/notebook-51857227af722cb05fdb", "kernel_id": "38716"}, {"ref": "auanup/notebook-7d6c6215e75bbc390e62", "kernel_id": "40049"}, {"ref": "psismanis/notebook-f19e6a819c4729d51ee4", "kernel_id": "36065"}, {"ref": "psismanis/a-try-for-airbnb", "kernel_id": "36066"}, {"ref": "emaninspace/explorations", "kernel_id": "27257"}, {"ref": "francium87/notebook-4ee3fd66395b3ab08d85", "kernel_id": "27203"}, {"ref": "code0100fun/notebook-819a16aedfe59c72e25b", "kernel_id": "28183"}, {"ref": "code0100fun/notebook-3f9222af61ce94946020", "kernel_id": "28184"}, {"ref": "prateekut/notebook-255d30ab590c1d6e8bac", "kernel_id": "29795"}, {"ref": "qsuire/exploration", "kernel_id": "26709"}, {"ref": "qsuire/basic", "kernel_id": "26724"}, {"ref": "csese2707/three-level-classification-architecture", "kernel_id": "45330"}, {"ref": "woshixmy1990/notebook-57a01d930e703876c76d", "kernel_id": "35267"}, {"ref": "maxdickinson/notebook-c9cc0405f018898bfde1", "kernel_id": "35098"}, {"ref": "maxdickinson/notebook-71350527f0af501dc00f", "kernel_id": "35095"}, {"ref": "maxdickinson/analysis", "kernel_id": "35096"}, {"ref": "chuhimself/airbnb-lazy-exploration", "kernel_id": "36836"}, {"ref": "huili0140/rscript-0-86547", "kernel_id": "32135"}, {"ref": "pratiksha03/notebook-132417ae1f2463bc4f5b", "kernel_id": "25872"}, {"ref": "dionhagan/airbnb-classify", "kernel_id": "30474"}, {"ref": "srinivaskcg/user-data-exploration", "kernel_id": "49354"}, {"ref": "srinivaskcg/notebook-967b4bbfb8e632bdb5b5", "kernel_id": "49355"}, {"ref": "adeshmukh/notebook-ebe9affba713fc91491e", "kernel_id": "36131"}, {"ref": "namedcal/user-data-exploration", "kernel_id": "33049"}, {"ref": "namedcal/airbnb", "kernel_id": "28427"}, {"ref": "namedcal/notebook-d362e45e3fada09ce7fe", "kernel_id": "28428"}, {"ref": "namedcal/notebook-113dca17e4e28f602bd3", "kernel_id": "28429"}, {"ref": "namedcal/notebook-828289452bdd19a69587", "kernel_id": "28430"}, {"ref": "namedcal/notebook-f0ce23ea3dbed01ae8b4", "kernel_id": "28431"}, {"ref": "ccxuxule/notebook-a8f9b3c3c6e60bd47118", "kernel_id": "26198"}, {"ref": "tommyttf/user-data-exploration", "kernel_id": "31396"}, {"ref": "alpoza/three-level-classification-architecture", "kernel_id": "62454"}, {"ref": "baboedoeh/notebook-26e7970215d2730a994c", "kernel_id": "26094"}, {"ref": "romainsbt/notebook-f25ad3996695b69fdb40", "kernel_id": "33251"}, {"ref": "switchfootsid/notebook-35620ccd0849f886aa07", "kernel_id": "41415"}, {"ref": "zailaouibva75/notebook-32f1f0d8840deac6e34e", "kernel_id": "31265"}, {"ref": "baralsn/notebook-9b1631d10494a989a682", "kernel_id": "30340"}, {"ref": "dkronenberg/notebook-e19b20a72a1cb3b468d3", "kernel_id": "25854"}, {"ref": "jhwarren/automated-data-visualization", "kernel_id": "33451"}, {"ref": "jhwarren/notebook-751c8099c0ee5d9caf75", "kernel_id": "33452"}, {"ref": "kevinoconnor/airbnb-ko-1", "kernel_id": "35483"}, {"ref": "ilaalles/notebook-a4b40293ff21f0566ef9", "kernel_id": "32259"}, {"ref": "smalahy/notebook-f17ddf4c6e5ccaeafd02", "kernel_id": "36844"}, {"ref": "smalahy/notebook-f6c5098d14b3dc01296e", "kernel_id": "36845"}, {"ref": "mengxiong/notebook-7301538ee3ee78c7f7d6", "kernel_id": "49314"}, {"ref": "mengxiong/notebook-90bb2006a72311a68c7b", "kernel_id": "49316"}, {"ref": "mengxiong/airbnb-exploratory-analysis", "kernel_id": "49305"}, {"ref": "smnkmr/user-data-exploration", "kernel_id": "51834"}, {"ref": "rajneeshk1990/airbnb-user-bookings", "kernel_id": "38153"}, {"ref": "huzech/ndcg-xgboost-example", "kernel_id": "30230"}, {"ref": "yuanmeng/benchmark-all-ndf", "kernel_id": "59376"}, {"ref": "jfradkin/notebook-3ab2c5e65bcf9fbdad6d", "kernel_id": "47055"}, {"ref": "xxxpipxxx/notebook-2a3ca7d4f2508be2b133", "kernel_id": "26018"}, {"ref": "koojokwon/notebook-d6dcfb68314c01f44194", "kernel_id": "29870"}, {"ref": "stunner1608/notebook-9512e552aa42f3706cad", "kernel_id": "75863"}, {"ref": "stunner1608/notebook-37b6a1f1144efcf9385a", "kernel_id": "75883"}, {"ref": "antonifs/user-data-exploration", "kernel_id": "33079"}, {"ref": "antonifs/notebook-4ce36e12cfef0ba61d45", "kernel_id": "33080"}, {"ref": "varbam/notebook-b6839ba19b1cb2fe3f84", "kernel_id": "25870"}, {"ref": "shellinghum/notebook-1963084f6dfd5abeff30", "kernel_id": "36499"}, {"ref": "shellinghum/notebook-4587c0e28db6b6b85386", "kernel_id": "36500"}, {"ref": "mertergun/notebook-be03e3c9e964c7d9eea6", "kernel_id": "30976"}, {"ref": "amazha/user-data-exploration", "kernel_id": "31213"}, {"ref": "raphaelrcampos/notebook-140720a5230f943fc805", "kernel_id": "33457"}, {"ref": "sanketss/demo-try", "kernel_id": "32599"}, {"ref": "sanketss/notebook-8ed62437600231b24044", "kernel_id": "32002"}, {"ref": "fanluo/notebook-73d975e2f28e4d2ee04e", "kernel_id": "35739"}, {"ref": "fanluo/user-data-exploration", "kernel_id": "35659"}, {"ref": "fanluo/notebook-f211c7abce080be8a6b8", "kernel_id": "35660"}, {"ref": "fanluo/notebook-c76ba0ba60e45b86421d", "kernel_id": "35661"}, {"ref": "zenghua2013/notebook-ff7493e59377c9f9edbc", "kernel_id": "26295"}, {"ref": "zenghua2013/notebook-e80330cd1cdf238ac6bf", "kernel_id": "26296"}, {"ref": "zenghua2013/airbnb", "kernel_id": "26298"}, {"ref": "zenghua2013/airbnb1", "kernel_id": "26300"}, {"ref": "zenghua2013/bnbair", "kernel_id": "26302"}, {"ref": "zenghua2013/airbnb-v2", "kernel_id": "26303"}, {"ref": "jcfchu/notebook-b3c90f979d82da4ce8a4", "kernel_id": "32753"}, {"ref": "jcfchu/notebook-73b9af76ad4db0544570", "kernel_id": "33349"}, {"ref": "scottbrenstuhl/testing", "kernel_id": "27002"}, {"ref": "scottbrenstuhl/notebook-49fccfb25096d1a144d7", "kernel_id": "27003"}, {"ref": "scottbrenstuhl/holidays-make-people-hate-travel", "kernel_id": "28174"}, {"ref": "omarelgabry/notebook-83c36d69e8d95e51f625", "kernel_id": "26850"}, {"ref": "omarelgabry/notebook-ffdc890215f6a263942e", "kernel_id": "26841"}, {"ref": "omarelgabry/notebook-9469b7b08ab27946eb68", "kernel_id": "26842"}, {"ref": "omarelgabry/notebook-26d5fa497125e90f91a4", "kernel_id": "26843"}, {"ref": "omarelgabry/notebook-a638625838945a74d23b", "kernel_id": "26832"}, {"ref": "omarelgabry/notebook-11ad3514ef300b6ff4cf", "kernel_id": "26836"}, {"ref": "omarelgabry/airbnb-user-bookings", "kernel_id": "26839"}, {"ref": "omarelgabry/notebook-e194534b02e04fdf92d8", "kernel_id": "26857"}, {"ref": "uniquegino/user-data-exploration", "kernel_id": "133302"}, {"ref": "tomtran/notebook-ec8e3304c2f4aab706fe", "kernel_id": "27258"}, {"ref": "rayment/notebook-0baeca04af08e64c0aed", "kernel_id": "26694"}, {"ref": "akhilmathew/user-data-exploration", "kernel_id": "36642"}, {"ref": "gaurav6351/rscript-0-86547", "kernel_id": "38232"}, {"ref": "guschadney/sandbox", "kernel_id": "29533"}, {"ref": "guschadney/notebook-24691db73c841ef177c1", "kernel_id": "29349"}, {"ref": "guschadney/sandpit", "kernel_id": "29316"}, {"ref": "elaineches/user-data-exploration", "kernel_id": "106983"}, {"ref": "tingkanp/notebook-bc56c29ba84d33e573a6", "kernel_id": "35845"}, {"ref": "rishib/airbnb-exploratory-analysis", "kernel_id": "46803"}, {"ref": "anj022/notebook-cc4371a5cf25ecbf5230", "kernel_id": "25767"}, {"ref": "gshs27/notebook-72c017a8e0daecf775ec", "kernel_id": "30232"}, {"ref": "gshs27/notebook-37b7fb9b23003bd7863d", "kernel_id": "30233"}, {"ref": "gshs27/dsadsa", "kernel_id": "30234"}, {"ref": "rsverma/notebook-594c94f1f2a49a3a9ddf", "kernel_id": "25650"}, {"ref": "mycroft/notebook-5c970a360dd673190a8b", "kernel_id": "26966"}, {"ref": "mycroft/airbnb-user-bookings", "kernel_id": "26962"}, {"ref": "mycroft/notebook-8254786672ae3db6c26b", "kernel_id": "27026"}, {"ref": "mycroft/notebook-1f5806f4fc2be4563198", "kernel_id": "27022"}, {"ref": "csalac/notebook-7d6d3289b3a65d480b7d", "kernel_id": "27993"}, {"ref": "koahra/notebook-61713ded47532dc6abfe", "kernel_id": "26398"}, {"ref": "cimadure/airbnb-notebook", "kernel_id": "26474"}, {"ref": "qingzhang/notebook-c660e23ab8cdb2a9bef5", "kernel_id": "36075"}, {"ref": "youdzi/notebook-35ad0a7bf8306ab0f238", "kernel_id": "56061"}, {"ref": "youdzi/notebook-d2e8d4423eecd126a5d3", "kernel_id": "56062"}, {"ref": "butzhang/notebook-53f643364af3db75453a", "kernel_id": "25632"}, {"ref": "sranka/airbnb-exploratory-analysis", "kernel_id": "36294"}, {"ref": "sranka/notebook-ea656567728e171666c8", "kernel_id": "36290"}, {"ref": "chucha/notebook-93f26c0a95a654ceb292", "kernel_id": "30642"}, {"ref": "aissaelouafi/notebook-4ce7bf9e701b21bdd4b7", "kernel_id": "28125"}, {"ref": "rguezjosema/primerscript", "kernel_id": "31970"}, {"ref": "rguezjosema/rscript", "kernel_id": "31979"}, {"ref": "rajeshr6r/airbnb-data-exploration", "kernel_id": "27499"}, {"ref": "romainlhez/notebook-3e9d818d1036d66cc1cf", "kernel_id": "28559"}, {"ref": "romainlhez/notebook-9f13544585c94a902aaa", "kernel_id": "28560"}, {"ref": "romainlhez/script-0-8655", "kernel_id": "28561"}, {"ref": "romainlhez/airbnb", "kernel_id": "28562"}, {"ref": "zubinkika/airbnb-user-bookings", "kernel_id": "27194"}, {"ref": "zubinkika/notebook-39c2ecf71540a7b8f49c", "kernel_id": "31044"}, {"ref": "zubinkika/notebook-041dfdd2ba5b15d89275", "kernel_id": "31045"}, {"ref": "brianconnorflynn/airbnb", "kernel_id": "28737"}, {"ref": "brianconnorflynn/notebook-aea4057ad37f91f053ca", "kernel_id": "28734"}, {"ref": "hyeyoung/notebook-69ab79529652790fefe9", "kernel_id": "35844"}, {"ref": "apsivakumar/first-prediction-script", "kernel_id": "299378"}, {"ref": "xiaoran/notebook-8d6e94da3121692e5ca7", "kernel_id": "29023"}, {"ref": "micidr/notebook-67ff4c7dae68b85ca394", "kernel_id": "33125"}, {"ref": "micidr/notebook-6db7817fee3741e45dc0", "kernel_id": "33126"}, {"ref": "micidr/notebook-838f329721a579d011df", "kernel_id": "33142"}, {"ref": "micidr/notebook-a6b14914b9bde45744c1", "kernel_id": "33143"}, {"ref": "micidr/notebook-e4d8c10a2aef276d7eee", "kernel_id": "33144"}, {"ref": "micidr/user-data-exploration", "kernel_id": "33101"}, {"ref": "micidr/notebook-10f057a7411e98aef693", "kernel_id": "33122"}, {"ref": "micidr/notebook-b550f73afb1ecfcca72c", "kernel_id": "33123"}, {"ref": "micidr/notebook-330e600309b4f1a8efa5", "kernel_id": "33254"}, {"ref": "micidr/notebook-c0590c2c574e2d588a5d", "kernel_id": "33255"}, {"ref": "micidr/notebook-9bdd0842e2bb52c8ff8b", "kernel_id": "33256"}, {"ref": "micidr/notebook-ca40cfcc961a090d2b9b", "kernel_id": "33257"}, {"ref": "micidr/notebook-3e3d14522c8ab837f86a", "kernel_id": "33258"}, {"ref": "blogoriver/notebook-8f1c683427db12836fad", "kernel_id": "27938"}, {"ref": "blogoriver/airbnb-user-bookings", "kernel_id": "27858"}, {"ref": "blogoriver/notebook-652c0874044ef8b362b1", "kernel_id": "27860"}, {"ref": "blogoriver/notebook-593f56cff30e386691fc", "kernel_id": "27861"}, {"ref": "blogoriver/notebook-c5a0b5fb5cbe9b503849", "kernel_id": "27862"}, {"ref": "blogoriver/notebook-331af37bbae72e3ccddf", "kernel_id": "27863"}, {"ref": "blogoriver/notebook-8c5881bffef067847547", "kernel_id": "27864"}, {"ref": "blogoriver/notebook-cf29a0cc46609df13cd2", "kernel_id": "27866"}, {"ref": "blogoriver/notebook-ef338e47defc86ac7edb", "kernel_id": "27867"}, {"ref": "blogoriver/notebook-898e7604f9ee26fdb316", "kernel_id": "27868"}, {"ref": "joehabsjoe/notebook-af44d152a2027d7088b8", "kernel_id": "32045"}, {"ref": "joehabsjoe/freqency-density-distributions", "kernel_id": "35506"}, {"ref": "msdaelia/airbnb-user-bookings", "kernel_id": "27105"}, {"ref": "tuhyler/notebook-97bf154be2c98569a2b6", "kernel_id": "31308"}, {"ref": "tysutw/notebook-4f6f3df65c79d2cdeff6", "kernel_id": "31359"}, {"ref": "tysutw/notebook-50974957804d55e141f3", "kernel_id": "31360"}, {"ref": "tysutw/notebook-f608525ea5de2b47f9a7", "kernel_id": "28020"}, {"ref": "krelian/notebook-a326f71d30a590766c40", "kernel_id": "25682"}, {"ref": "xyzheng123/notebook-3dade7fe13adf607f298", "kernel_id": "32863"}, {"ref": "xyzheng123/notebook-fed624fa29c31e62584c", "kernel_id": "32864"}, {"ref": "stibrany/notebook-14c6f63614e84ee31ccc", "kernel_id": "35167"}, {"ref": "korsakovs/notebook-30db99e51152a7d0399f", "kernel_id": "27932"}, {"ref": "phayes/airbnb-competition", "kernel_id": "25961"}, {"ref": "phayes/competition", "kernel_id": "25962"}, {"ref": "jacknezha/user-data-exploration", "kernel_id": "30539"}, {"ref": "jacknezha/notebook-10dc2aac458c2ddfce8f", "kernel_id": "35132"}, {"ref": "tongming/notebook-e3d77b62ff5a3be740ed", "kernel_id": "28924"}, {"ref": "sandhuv/airbnb-user-bookings", "kernel_id": "27276"}, {"ref": "mzhang89/user-data-exploration", "kernel_id": "29323"}, {"ref": "mzhang89/notebook-21045edb1c7408fe3960", "kernel_id": "29324"}, {"ref": "mzhang89/notebook-df0b150dee7b60f8a350", "kernel_id": "29325"}, {"ref": "dylanmetas/notebook-f01a4e635274dfaba83d", "kernel_id": "27556"}, {"ref": "dylanmetas/notebook-ec75f028162460ec31cc", "kernel_id": "27553"}, {"ref": "awaismahboob/muhammad-awais-airbnb", "kernel_id": "32483"}, {"ref": "cedricnjomou/notebook-c66350b61f22dda2871b", "kernel_id": "26802"}, {"ref": "waqassheikh/notebook-eb7d9373c0abf6f65f8e", "kernel_id": "27042"}, {"ref": "ylxdzsw/notebook-fef46acb8fcb2e65bb7a", "kernel_id": "35543"}, {"ref": "airbnbdm/notebook-279cf71cb1416f5bc869", "kernel_id": "27066"}, {"ref": "airbnbdb/notebook-3fdb04edc1d52eb429d9", "kernel_id": "27067"}, {"ref": "tiffanyho/notebook-854d95432c7f3500201a", "kernel_id": "28476"}, {"ref": "vidushigupta/notebook-b80483bfed5b4668e498", "kernel_id": "27277"}, {"ref": "dharm0us/notebook-eeb703ceb69464c290bf", "kernel_id": "27286"}, {"ref": "dharm0us/notebook-c44740db8228771d7ab4", "kernel_id": "27376"}, {"ref": "clintsunny/three-level-classification-architecture", "kernel_id": "46591"}, {"ref": "draschemus/notebook-cd91b0abea01b9853c2f", "kernel_id": "37313"}, {"ref": "draschemus/notebook-8984494b28ecb4c9c17a", "kernel_id": "37315"}, {"ref": "matthewphillips/notebook-741c2207ce8c6602d279", "kernel_id": "32710"}, {"ref": "matthewphillips/notebook-0f954006e6a6c2f4f2be", "kernel_id": "32711"}, {"ref": "stephenlee/user-data-exploration", "kernel_id": "29828"}, {"ref": "dhital/airbnb-user-bookings", "kernel_id": "27532"}, {"ref": "dhital/notebook-5a5bfaa8d28944b0d17e", "kernel_id": "27533"}, {"ref": "nathanb/notebook-26508842048f1891b803", "kernel_id": "36750"}, {"ref": "paulmuhia/airbnb-user-bookings", "kernel_id": "27599"}, {"ref": "paulmuhia/notebook-e844d9fa2a1744416238", "kernel_id": "27600"}, {"ref": "paulmuhia/notebook-4ded100f341cd7e34cfa", "kernel_id": "27601"}, {"ref": "jennyxiao/notebook-e04e90d0052a692a3447", "kernel_id": "27817"}, {"ref": "aditya41295/notebookfdb450f7f0", "kernel_id": "88331"}, {"ref": "koheik/notebook-a17edbbd5e26276b344a", "kernel_id": "29239"}, {"ref": "koheik/notebook-1e475f103fa1409b4b70", "kernel_id": "29298"}, {"ref": "malcolmsun/notebook-91c519892f59da0af299", "kernel_id": "29844"}, {"ref": "geledek/notebook-517319b64d20db28b75d", "kernel_id": "30970"}, {"ref": "geledek/notebook-1922d9c81a29f43c882a", "kernel_id": "30971"}, {"ref": "geledek/notebook-341c71dc99e77805f9ab", "kernel_id": "30972"}, {"ref": "geledek/test1234", "kernel_id": "30939"}, {"ref": "rbvictor/notebook-31f0dc4e3f2138826fad", "kernel_id": "28514"}, {"ref": "kareemw9/notebook-da83ba948df00b79c293", "kernel_id": "36033"}, {"ref": "kareemw9/notebook-e3bc4e65928c35a61e86", "kernel_id": "35630"}, {"ref": "kareemw9/airbnb-exploratory-analysis", "kernel_id": "35626"}, {"ref": "braden/three-level-classification-architecture", "kernel_id": "46749"}, {"ref": "susanb/first-attempt", "kernel_id": "28731"}, {"ref": "szelvenskiy/notebook-7f7ed86119a0a5a97e22", "kernel_id": "28758"}, {"ref": "szelvenskiy/test1", "kernel_id": "31086"}, {"ref": "fkrauss/notebook-cc2a74daa9c40db27cb0", "kernel_id": "29003"}, {"ref": "curtisfocht/notebook27c57cfa0a", "kernel_id": "140147"}, {"ref": "balaze/notebook-22eca2ca382bc735c40d", "kernel_id": "29178"}, {"ref": "xianglol/notebook-0e75a655f11a14055ca9", "kernel_id": "53359"}, {"ref": "maoyue2004/user-data-exploration", "kernel_id": "58156"}, {"ref": "iaincar9/notebook-2a24434b93e1af5d0530", "kernel_id": "31648"}, {"ref": "t654321rista/notebook-df6284e43cbbad1ad49c", "kernel_id": "29798"}, {"ref": "syroejka/notebook-b8f1015b220e0eb1c04d", "kernel_id": "29804"}, {"ref": "syroejka/user-data-exploration", "kernel_id": "29805"}, {"ref": "vntzyv/notebook-5fa24b1f9a4e78e1bbb2", "kernel_id": "29909"}, {"ref": "gurdeep/notebook-ffd5edc993779501117e", "kernel_id": "30915"}, {"ref": "gurdeep/notebook-711881654a5b7f760e4e", "kernel_id": "30916"}, {"ref": "atif137/testscript", "kernel_id": "30896"}, {"ref": "ichbinangela/notebook-610f99f9b342750047a0", "kernel_id": "38219"}, {"ref": "trizzzat/notebook-42d947e9a1c6d67dd571", "kernel_id": "30577"}, {"ref": "trizzzat/test1", "kernel_id": "30579"}, {"ref": "cullenbond/notebook-f4c841ccdbe4f97d7e74", "kernel_id": "31012"}, {"ref": "cullenbond/notebook-1132b2f91253256f68ff", "kernel_id": "31004"}, {"ref": "hdyhdy/notebook-1f0988ce6b498614b71a", "kernel_id": "47290"}, {"ref": "zwg19931120/notebook-417017e2b26bc94adb7c", "kernel_id": "31111"}, {"ref": "mukeshranjan/notebook-479f4a7ab86c277774a0", "kernel_id": "71967"}, {"ref": "mukeshranjan/notebook-fed52d8462abbbad81c8", "kernel_id": "71968"}, {"ref": "katlap/notebook-db55c08c4b29a57f50bc", "kernel_id": "33306"}, {"ref": "sofiddr/notebook-459cc382c2eb55026a95", "kernel_id": "31576"}, {"ref": "sofiddr/user-data-exploration", "kernel_id": "31563"}, {"ref": "windgwt/notebook-67a681f4de2977bf5dd6", "kernel_id": "32919"}, {"ref": "windgwt/airbnb-r", "kernel_id": "32403"}, {"ref": "janeko2000/user-data-exploration", "kernel_id": "33050"}, {"ref": "janeko2000/notebook-90d0d818213efa900d6e", "kernel_id": "33051"}, {"ref": "vijaybabu/first-attempt", "kernel_id": "32158"}, {"ref": "masterliu/notebook-e132b3839b41946913d1", "kernel_id": "36353"}, {"ref": "oratier/notebook-5118eeb26eb69fc242a8", "kernel_id": "31403"}, {"ref": "oratier/testasd", "kernel_id": "31404"}, {"ref": "dorajiang151/notebook-caddcf113932dd9431b5", "kernel_id": "31417"}, {"ref": "kraster/user-data-exploration", "kernel_id": "31450"}, {"ref": "biggdata/notebook-a8f3474d54961e335ea8", "kernel_id": "74063"}, {"ref": "biggdata/asdfsadff", "kernel_id": "74064"}, {"ref": "madlily/user-data-exploration", "kernel_id": "36091"}, {"ref": "iheartmatrices/notebook-ca2dc4da6cf3c099c235", "kernel_id": "31625"}, {"ref": "elecha/test1", "kernel_id": "31775"}, {"ref": "sdavenport/notebook-44e7ed16a057d2a07098", "kernel_id": "31902"}, {"ref": "aurorahe/airbnb-exploratory-analysis", "kernel_id": "44732"}, {"ref": "mariosperrakis/notebook-3eeb12725daea52a69ff", "kernel_id": "32217"}, {"ref": "mariosperrakis/notebook-09a4d103f16b8c0aaf22", "kernel_id": "32218"}, {"ref": "mariosperrakis/notebook-2dd7d2cff1c9be1d9040", "kernel_id": "32214"}, {"ref": "mariosperrakis/notebook-df22bcc337b80f54d15e", "kernel_id": "32215"}, {"ref": "mariosperrakis/notebook-7e449ff1daccdee60604", "kernel_id": "32191"}, {"ref": "mariosperrakis/notebook-a1155d5c8ba95cb1bc35", "kernel_id": "32199"}, {"ref": "angelico/bnbdataexplore", "kernel_id": "32192"}, {"ref": "angelico/rteamnotebook", "kernel_id": "32213"}, {"ref": "angelico/notebook-c9efe9fcca0c7be018ee", "kernel_id": "32224"}, {"ref": "angelico/notebook-b526a1325acf992879df", "kernel_id": "32225"}, {"ref": "camillahannamat/notebook-d9e4afae9f08dd71d024", "kernel_id": "32200"}, {"ref": "supercachai/user-data-exploration", "kernel_id": "32480"}, {"ref": "supercachai/notebook-757273bb4a5187de3e12", "kernel_id": "32482"}, {"ref": "timlincool/feature-importance-w-xgboost", "kernel_id": "34704"}, {"ref": "timlincool/notebook-d4fafad49609f8b26913", "kernel_id": "34702"}, {"ref": "zhaochd/notebook-3f82aea95f7f9d010f76", "kernel_id": "33100"}, {"ref": "zhaochd/test-scripy", "kernel_id": "34717"}, {"ref": "zhaochd/notebook-6087dd08dabfa0787865", "kernel_id": "35016"}, {"ref": "zhaochd/notebook-afe311cac3a4ccbf72fe", "kernel_id": "35017"}, {"ref": "zhaochd/notebook-01d750bc78ec3cee139b", "kernel_id": "35032"}, {"ref": "zhaochd/notebook-b24f4360976e996e190f", "kernel_id": "34865"}, {"ref": "zhaochd/notebook-487cda121987d6a2b26d", "kernel_id": "34887"}, {"ref": "zhaochd/notebook-cb24ad0f2473e553c08e", "kernel_id": "34876"}, {"ref": "zhaochd/notebook-833b29a17c1219beff1b", "kernel_id": "34868"}, {"ref": "zhaochd/notebook-33661ebbe8459ea53cad", "kernel_id": "34911"}, {"ref": "zhaochd/notebook-298a530d628548a61e5e", "kernel_id": "34907"}, {"ref": "zhaochd/notebook-aa00df470718e4620618", "kernel_id": "34294"}, {"ref": "zhaochd/notebook-77732b3c3280d073ee74", "kernel_id": "34290"}, {"ref": "zhaochd/notebook-9322e101beb274de5da7", "kernel_id": "35161"}, {"ref": "dardanomaria/user-data-exploration", "kernel_id": "38214"}, {"ref": "fanshi118/notebook-29ba6a0631f7241638da", "kernel_id": "32907"}, {"ref": "fanshi118/notebook-5d4403f8325d8eb1ac54", "kernel_id": "33243"}, {"ref": "bearcat171/notebook-57b9eb6b88b740d1d919", "kernel_id": "32795"}, {"ref": "bdolin/notebook-ac94da904ee89e9c873f", "kernel_id": "32832"}, {"ref": "jisooyoo/notebook-32b82b89ab339da42ef8", "kernel_id": "32936"}, {"ref": "jackliang/airbnb-user-bookings", "kernel_id": "35497"}, {"ref": "jackliang/notebook-f4d481bfd4a52cc68284", "kernel_id": "35499"}, {"ref": "davgar/notebook-16d95dbff2a4211e8860", "kernel_id": "33202"}, {"ref": "jrichter4/notebook-c802a660741b2fe22a6e", "kernel_id": "45457"}, {"ref": "jrichter4/notebook-bb79a485e1cfca3c0f6c", "kernel_id": "45548"}, {"ref": "guru13/notebook-3032fac5ef922c96bea9", "kernel_id": "37391"}, {"ref": "praveenarangavajhula/user-data-exploration", "kernel_id": "171607"}, {"ref": "jialiu54321/data-visualization", "kernel_id": "33462"}, {"ref": "jialiu54321/notebook-f513dd81cbdaab335f92", "kernel_id": "33463"}, {"ref": "jialiu54321/notebook-d7709e452eee33637a22", "kernel_id": "33464"}, {"ref": "sechangoh/notebook-1eb995c7f23031a6569b", "kernel_id": "38133"}, {"ref": "sechangoh/notebook-0132653cfef5317056a6", "kernel_id": "38629"}, {"ref": "sechangoh/notebook-c5ef67723ba7dfbd750a", "kernel_id": "38630"}, {"ref": "sechangoh/notebook-069ec09522c19fcd9e10", "kernel_id": "37837"}, {"ref": "sechangoh/airbnb-exploratory-analysis", "kernel_id": "45352"}, {"ref": "sechangoh/learning-from-the-others-work-0-8665", "kernel_id": "45350"}, {"ref": "sechangoh/notebook-b7de3e063f72dda01a55", "kernel_id": "56634"}, {"ref": "rforritz/notebook-5271de3f42967d7f7ef6", "kernel_id": "35759"}, {"ref": "mingyugai/notebook-af32cbf3755580333d9d", "kernel_id": "33951"}, {"ref": "fanyunxia0115/notebook-e717ca22b89e52a8cde1", "kernel_id": "61586"}, {"ref": "fanyunxia0115/notebook-fc11eaaa2e515c67a770", "kernel_id": "61466"}, {"ref": "fanyunxia0115/notebook-7463f97e0f8d045c17e8", "kernel_id": "61434"}, {"ref": "fanyunxia0115/notebook-dab35a5382f7383b98b0", "kernel_id": "61298"}, {"ref": "fanyunxia0115/notebook-dd6d28a89256050a892c", "kernel_id": "61353"}, {"ref": "pang123/123123", "kernel_id": "33760"}, {"ref": "m105816823/notebook-2d8bacfa22ebff1c4d04", "kernel_id": "36468"}, {"ref": "alexmiao822/notebook-921e8430f640c27656c1", "kernel_id": "39410"}, {"ref": "alexmiao822/user-data-exploration", "kernel_id": "39464"}, {"ref": "alexmiao822/notebook-b4ef36f1addc80211ef6", "kernel_id": "39395"}, {"ref": "alexmiao822/airbnb-exploratory-analysis", "kernel_id": "39387"}, {"ref": "alexmiao822/notebook-d8ad7dc0a3ca8db617dd", "kernel_id": "39390"}, {"ref": "lumiao1105/notebook-97cdebbf7975b3788efc", "kernel_id": "34245"}, {"ref": "lumiao1105/notebook-ef3228068cc321e63b73", "kernel_id": "34246"}, {"ref": "duccao/notebook-82bb1769fc62461aa2e5", "kernel_id": "34572"}, {"ref": "duccao/notebook-5c1f4cc1853d852607c5", "kernel_id": "34573"}, {"ref": "nostream/notebook-96fa3532956ef844006e", "kernel_id": "35582"}, {"ref": "huangmatthieu/airbnb-exploratory-analysis", "kernel_id": "81816"}, {"ref": "huangmatthieu/notebook-90b1646bb07de655f08a", "kernel_id": "81817"}, {"ref": "zoso95/testa", "kernel_id": "34804"}, {"ref": "zoso95/introsnoteboke", "kernel_id": "34806"}, {"ref": "zoso95/notebook-f75515ac6e6de1334903", "kernel_id": "34807"}, {"ref": "zoso95/tf-notebook", "kernel_id": "34813"}, {"ref": "adamjamessoto/notebook-9b2e93860f37eb2191e6", "kernel_id": "35631"}, {"ref": "yanjiao/notebook-c9f9099db0ead1a11821", "kernel_id": "35071"}, {"ref": "yueyulee/notebook0fcf8fa834", "kernel_id": "98537"}, {"ref": "zhutou/notebook-4a521704c97b64a5e2e1", "kernel_id": "35101"}, {"ref": "raosindhu/airbnb-data", "kernel_id": "37515"}, {"ref": "braydenv/notebook-845455c5f77a061bf001", "kernel_id": "35632"}, {"ref": "suruisun/user-data-exploration", "kernel_id": "181257"}, {"ref": "suruisun/three-level-classification-architecture", "kernel_id": "149711"}, {"ref": "shaharazulay/notebook-6664f35d23775795ce8a", "kernel_id": "36194"}, {"ref": "shaharazulay/airbnb-cnt-prediction-pipe", "kernel_id": "36195"}, {"ref": "shaharazulay/notebook-025131caee2d27f6d884", "kernel_id": "36331"}, {"ref": "viveksiva/notebook-8df3a66e233341b6d412", "kernel_id": "37490"}, {"ref": "viveksiva/notebook-7513501c6b773ed3a948", "kernel_id": "37844"}, {"ref": "saipavan21/notebook-953680be111f96a6f7a9", "kernel_id": "36682"}, {"ref": "hswater1/user-data-exploration", "kernel_id": "36746"}, {"ref": "hswater1/notebook-482834001ff9b9307b87", "kernel_id": "36748"}, {"ref": "ajmendez/user-data-exploration", "kernel_id": "36769"}, {"ref": "karthikko/user-data-exploration", "kernel_id": "93670"}, {"ref": "lisenegger/notebook-aaa038da84307db5a9d1", "kernel_id": "37013"}, {"ref": "lisenegger/notebook-33f800599a1214164627", "kernel_id": "37014"}, {"ref": "lisenegger/notebook-e16095b898069aae6e04", "kernel_id": "37015"}, {"ref": "lisenegger/notebook-e8c75aa70c0333337759", "kernel_id": "37025"}, {"ref": "lisenegger/notebook-dda879af07b75da8eefa", "kernel_id": "37223"}, {"ref": "lisenegger/script-2", "kernel_id": "37346"}, {"ref": "lisenegger/notebook-5ce09aff0717f2b6fecc", "kernel_id": "37705"}, {"ref": "egalashin/12334", "kernel_id": "37124"}, {"ref": "garethdjones/data-exploration", "kernel_id": "89446"}, {"ref": "danimals/notebook-b22ba68084051be95777", "kernel_id": "38114"}, {"ref": "cjaganmohan/user-data-exploration", "kernel_id": "38879"}, {"ref": "cjaganmohan/notebook-87ae1e28001e4376299b", "kernel_id": "38880"}, {"ref": "qjin076/user-data-exploration", "kernel_id": "108501"}, {"ref": "isaacmoore7/user-data-exploration", "kernel_id": "39322"}, {"ref": "isaacmoore7/notebook-7bd6f338ad37eba10919", "kernel_id": "39323"}, {"ref": "lishan/three-level-classification-architecture", "kernel_id": "50843"}, {"ref": "lishan/notebook-895d1832fb5994977a03", "kernel_id": "50844"}, {"ref": "lishan/notebook-439d7bc93f6fb6becbee", "kernel_id": "50845"}, {"ref": "vjuneja/notebook-53c0d73a39de945cb16f", "kernel_id": "40250"}, {"ref": "derekweng/notebook-af079a774e00375b2eec", "kernel_id": "41608"}, {"ref": "salonim/notebook-c46c4ac03913853d2a11", "kernel_id": "40528"}, {"ref": "tretelny/user-data-exploration", "kernel_id": "47978"}, {"ref": "ftevesalquitela/airbnb-exploratory-analysis", "kernel_id": "40762"}, {"ref": "dgwtexas/airbnb-user-bookings", "kernel_id": "102062"}, {"ref": "dgwtexas/explore", "kernel_id": "102032"}, {"ref": "socialai/airbnb-exploratory-analysis", "kernel_id": "60237"}, {"ref": "socialai/notebook-679f089d613bd55496db", "kernel_id": "60238"}, {"ref": "rsaragossi/notebook-a022c51ddbc7226a8c9c", "kernel_id": "52184"}, {"ref": "annedevies/user-data-exploration", "kernel_id": "45641"}, {"ref": "xiaoting29/notebook-056171dcc2b243c71147", "kernel_id": "52868"}, {"ref": "pranjal1408/notebook-ebc87c8af7469dced8ee", "kernel_id": "51154"}, {"ref": "jihyeseo/airbnb-eda-new-user-book", "kernel_id": "958206"}, {"ref": "hienmai/notebook4613e2fbf6", "kernel_id": "87663"}, {"ref": "hienmai/notebookf5dd545338", "kernel_id": "87891"}, {"ref": "hienmai/notebookd5a2334db0", "kernel_id": "86603"}, {"ref": "hienmai/notebook0d3f6f1ae0", "kernel_id": "86312"}, {"ref": "hienmai/notebook3d96330116", "kernel_id": "86886"}, {"ref": "hienmai/notebookfd979891fe", "kernel_id": "86993"}, {"ref": "hienmai/notebook-59ea76bfa85280d18fbe", "kernel_id": "85547"}, {"ref": "hienmai/notebook-c51ae68e3a7ec542a4b9", "kernel_id": "85561"}, {"ref": "hienmai/notebookdc6984d234", "kernel_id": "86194"}, {"ref": "hienmai/notebook-79eefa5217699f46b8f9", "kernel_id": "84614"}, {"ref": "hienmai/notebook-252095649a750f423a66", "kernel_id": "82177"}, {"ref": "hienmai/notebook-d943995e2cf44ecbb1b7", "kernel_id": "80614"}, {"ref": "hienmai/notebook-16f8e715c3ca5c15190e", "kernel_id": "81481"}, {"ref": "hienmai/notebook-01c6b9b3350d646ad074", "kernel_id": "80895"}, {"ref": "hienmai/notebook-6457ef8cc8c181bee80e", "kernel_id": "81201"}, {"ref": "hienmai/notebook-3ec031970297e21b026a", "kernel_id": "81202"}, {"ref": "hienmai/notebook-853693ddeacb49a31093", "kernel_id": "81221"}, {"ref": "hienmai/three-level-classification-architecture", "kernel_id": "75286"}, {"ref": "hienmai/notebook-ab98678aa1dbabf25c0f", "kernel_id": "75802"}, {"ref": "sgorreh/notebook-37eca5b50de5ef6df248", "kernel_id": "48317"}, {"ref": "sgorreh/notebook-9fecab42996ab7da6756", "kernel_id": "48526"}, {"ref": "serj777/notebook-75173babf476a76f7888", "kernel_id": "52052"}, {"ref": "duohkaoz/user-data-exploration", "kernel_id": "54001"}, {"ref": "duohkaoz/three-level-classification-architecture", "kernel_id": "54002"}, {"ref": "duohkaoz/notebook-3389bb812fecccc02eb0", "kernel_id": "54004"}, {"ref": "duohkaoz/notebook-0d869b1bc3c86b0723c6", "kernel_id": "54771"}, {"ref": "duohkaoz/learning-from-the-others-work-0-8665", "kernel_id": "57981"}, {"ref": "darkgreigh/three-level-classification-architecture-340a9537", "kernel_id": "92003"}, {"ref": "darkgreigh/three-level-classification-architecture", "kernel_id": "91970"}, {"ref": "tsmith5151/notebook-66218f05fb44c74806c6", "kernel_id": "56355"}, {"ref": "driessto/notebook-872e7bc4b286d94a1fd3", "kernel_id": "53363"}, {"ref": "driessto/three-level-classification-architecture", "kernel_id": "52623"}, {"ref": "yingcheng/user-data-exploration", "kernel_id": "113122"}, {"ref": "sarikadhoot/notebook-42d8bb651ed7048bb6e4", "kernel_id": "54340"}, {"ref": "aabella/notebook-025c6bfa67f699183e71", "kernel_id": "55685"}, {"ref": "drloureiro/notebook-f37837921540cceb7ad1", "kernel_id": "59728"}, {"ref": "drloureiro/user-data-exploration", "kernel_id": "59648"}, {"ref": "whitekeys/user-data-exploration", "kernel_id": "58406"}, {"ref": "mshinoy/user-data-exploration", "kernel_id": "160358"}, {"ref": "thiagomacg/notebook-bf9222a2002686d9f0c7", "kernel_id": "61822"}, {"ref": "thiagomacg/notebook-4b99ff6d016d3067ba48", "kernel_id": "61824"}, {"ref": "candydiamonds07/notebookafb171ce30", "kernel_id": "100437"}, {"ref": "slaurent/hands-on-lab-ii", "kernel_id": "215890"}, {"ref": "ssu008/three-level-classification-architecture", "kernel_id": "90989"}, {"ref": "vtrulyaev/ndcg-scorer", "kernel_id": "66740"}, {"ref": "khalizzy/user-data-exploration", "kernel_id": "76500"}, {"ref": "khalizzy/notebook-ee3b1949979ac281c8e6", "kernel_id": "76501"}, {"ref": "khalizzy/notebook-43a70b5291fee7006e54", "kernel_id": "76502"}, {"ref": "akashsharma/user-data-exploration", "kernel_id": "166772"}, {"ref": "marioho/airbnb-exploratory-analysis", "kernel_id": "118452"}, {"ref": "deka108/notebook19a457c954", "kernel_id": "109157"}, {"ref": "aytajaga/random-forest", "kernel_id": "527990"}, {"ref": "advarot/automated-data-visualization", "kernel_id": "86188"}, {"ref": "mjhmjy/notebookf2b59b171e", "kernel_id": "101451"}, {"ref": "ganj28/airbnb-exploratory-analysis", "kernel_id": "102719"}, {"ref": "yuantorius/three-level-classification-architecture", "kernel_id": "101333"}, {"ref": "phamcong/section-2", "kernel_id": "215941"}, {"ref": "shitman/user-data-exploration-03ebbdf0", "kernel_id": "95056"}, {"ref": "shitman/user-data-exploration-671d2a1f", "kernel_id": "94983"}, {"ref": "shitman/user-data-exploration", "kernel_id": "94918"}, {"ref": "juujuujuujuu/airbnb-user-bookings", "kernel_id": "86720"}, {"ref": "nickwinton/user-data-exploration", "kernel_id": "101248"}, {"ref": "nickwinton/notebook1f711b332a", "kernel_id": "101379"}, {"ref": "yuelinyang/feature-engineering", "kernel_id": "235633"}, {"ref": "ambrusia/notebook834ab7c8f2", "kernel_id": "128859"}, {"ref": "stricklandc17/abcdedf", "kernel_id": "119541"}, {"ref": "thomaxyu/notebook4769e21606", "kernel_id": "112226"}, {"ref": "beyondrek/airbnb-exploratory-analysis", "kernel_id": "95499"}, {"ref": "aditisonik/airbnb-user-bookings", "kernel_id": "114400"}, {"ref": "juliannahan/notebook105b1b1ba6", "kernel_id": "162686"}, {"ref": "juliannahan/user-data-exploration", "kernel_id": "162690"}, {"ref": "pkuhugo/notebook43f95d1efb", "kernel_id": "134708"}, {"ref": "pkuhugo/learning-from-the-others-work-0-8665", "kernel_id": "158894"}, {"ref": "pkuhugo/learning-from-the-others-work-0-8665-5a49132c", "kernel_id": "158895"}, {"ref": "sayan30/three-level-classification-architecture", "kernel_id": "127986"}, {"ref": "sayan30/notebooke86eb7abd1", "kernel_id": "128327"}, {"ref": "sayan30/airbnb-new-user-booking", "kernel_id": "128318"}, {"ref": "zt724540/notebook114c30321a", "kernel_id": "132466"}, {"ref": "manishgarodia/ndcg-xgboost", "kernel_id": "128865"}, {"ref": "cathyc/notebookf8fea3a405", "kernel_id": "100902"}, {"ref": "alonshoshan/user-data-exploration", "kernel_id": "101249"}, {"ref": "sevendeadlysins/airbnb-user-bookings", "kernel_id": "160136"}, {"ref": "tingsg/notebookc17a23eb3f", "kernel_id": "117378"}, {"ref": "tingting007/notebookfffbcf8199", "kernel_id": "114247"}, {"ref": "songsijun/three-level-classification-architecture", "kernel_id": "115597"}, {"ref": "songsijun/three-level-classification-architecture-280b85da", "kernel_id": "116364"}, {"ref": "hberkia/notebookedeb21a2af", "kernel_id": "172602"}, {"ref": "chriscaudill/notebook833ab6c8d2", "kernel_id": "112742"}, {"ref": "chriscaudill/notebook65c0e37a49", "kernel_id": "111871"}, {"ref": "euclid314/notebook474b49dbe3", "kernel_id": "227686"}, {"ref": "maazsyed/notebook3ecc993fc0", "kernel_id": "235487"}, {"ref": "foutik/notebook5c2f042390", "kernel_id": "174062"}, {"ref": "foutik/random-forest-model", "kernel_id": "167774"}, {"ref": "foutik/random-forest-script", "kernel_id": "167788"}, {"ref": "foutik/user-data-exploration", "kernel_id": "141582"}, {"ref": "foutik/notebook1d8ed48bc3", "kernel_id": "148735"}, {"ref": "foutik/script-cleaning-data", "kernel_id": "148699"}, {"ref": "sazedul/airbnb-user-bookings", "kernel_id": "130936"}, {"ref": "sazedul/airbnb-user-bookings-f4d4b862", "kernel_id": "130942"}, {"ref": "sazedul/airbnb-exploratory-analysis", "kernel_id": "131972"}, {"ref": "omerasif57/airbnb-exploratory-analysis-2db75085", "kernel_id": "128662"}, {"ref": "omerasif57/airbnb-exploratory-analysis", "kernel_id": "128399"}, {"ref": "jbaragon79/notebook12773408e0", "kernel_id": "113378"}, {"ref": "acconciamessa/notebook97330df473", "kernel_id": "116810"}, {"ref": "acconciamessa/w207-final-proj", "kernel_id": "111869"}, {"ref": "tjdford/test1", "kernel_id": "114653"}, {"ref": "wafabenaissa/notebook7bbb5739c7", "kernel_id": "246475"}, {"ref": "wafabenaissa/notebook351313c6c9", "kernel_id": "243828"}, {"ref": "wafabenaissa/notebook74039e8106", "kernel_id": "243857"}, {"ref": "wafabenaissa/notebook560f77f6db", "kernel_id": "243408"}, {"ref": "worldeditor07/three-level-classification-architecture", "kernel_id": "135565"}, {"ref": "worldeditor07/three-level-classification-architecture-bfdd23da", "kernel_id": "138537"}, {"ref": "ninosaur/user-data-exploration", "kernel_id": "193853"}, {"ref": "ilacns/notebook694cbf96fa", "kernel_id": "122279"}, {"ref": "jooyeon/notebook489c240fa2", "kernel_id": "126324"}, {"ref": "oliverh1118/notebookc1b72ce818", "kernel_id": "124912"}, {"ref": "ebzimm/airbnb-capstone-project", "kernel_id": "130740"}, {"ref": "karsteng/notebook4f88e7b5d2", "kernel_id": "131302"}, {"ref": "afabris/prova", "kernel_id": "153999"}, {"ref": "toanngo/ml-data-venture-with-airbnb", "kernel_id": "215894"}, {"ref": "gdataanalysis/notebook8e355495b4", "kernel_id": "167909"}, {"ref": "giuseppeiacono/notebook50b574ab6a", "kernel_id": "149881"}, {"ref": "droidkari/user-data-exploration", "kernel_id": "155095"}, {"ref": "jxzhuang/notebookd8cd451bdf", "kernel_id": "167985"}, {"ref": "amiyazaki/notebook95b6055aeb", "kernel_id": "200665"}, {"ref": "lenkiii/my-first-python-notebook-some-data-cleaning", "kernel_id": "215904"}, {"ref": "fcarley/three-level-classification-architecture-a2f80c", "kernel_id": "210097"}, {"ref": "fcarley/testing", "kernel_id": "210098"}, {"ref": "vinibarceloso/automated-data-visualization", "kernel_id": "174560"}, {"ref": "vinibarceloso/airbnb-user-bookings", "kernel_id": "174563"}, {"ref": "ericatan/airbnb-new-user-bookings", "kernel_id": "176038"}, {"ref": "akageleiry/oit-362-team-am", "kernel_id": "201318"}, {"ref": "leminhtr/airbnb-data-venture-sessions", "kernel_id": "215925"}, {"ref": "rounakbanik/airbnb-new-user-bookings", "kernel_id": "386170"}, {"ref": "gaoxiangak47/airbnb-new-user-country-prediction-practice", "kernel_id": "201222"}, {"ref": "alexdrch/session2", "kernel_id": "215908"}, {"ref": "ghurtado/notebook2bcc329ca1", "kernel_id": "215888"}, {"ref": "ghurtado/notebook7e4c1c3dfc", "kernel_id": "215878"}, {"ref": "xiaoyaonanjiea/notebook2c8d51050e", "kernel_id": "258709"}, {"ref": "ehariz/data-test", "kernel_id": "215911"}, {"ref": "dolfsquare/training-course", "kernel_id": "215915"}, {"ref": "dolfsquare/notebooke7cb37ca27", "kernel_id": "226689"}, {"ref": "alexdrak28/dataventure-session-2", "kernel_id": "215947"}, {"ref": "camilledrs/test-kaggle", "kernel_id": "215893"}, {"ref": "julieberteaux/workshop-2", "kernel_id": "215914"}, {"ref": "latrous98/jiberish", "kernel_id": "215922"}, {"ref": "loubonnet/data-clean", "kernel_id": "215898"}, {"ref": "bastienrolando/test-kaggle", "kernel_id": "215940"}, {"ref": "lauredecaudin/notebook588b816e6f", "kernel_id": "215910"}, {"ref": "nonoan/session-2", "kernel_id": "215906"}, {"ref": "theodorebourgeon/session2", "kernel_id": "215895"}, {"ref": "morenov/session-2", "kernel_id": "215902"}, {"ref": "hajerboussetta6/notebookc3d266dd0d", "kernel_id": "215920"}, {"ref": "hajerboussetta6/notebookeba6aaa734", "kernel_id": "215973"}, {"ref": "augustin72/notebook8f9f1e2242", "kernel_id": "215927"}, {"ref": "mage45/session-2", "kernel_id": "215919"}, {"ref": "ckerebel/notebookc6f3ff5b46", "kernel_id": "215930"}, {"ref": "gblondet/test-kaggle", "kernel_id": "215929"}, {"ref": "artemisart/handsonlab-2-airbnb", "kernel_id": "215900"}, {"ref": "lliepchi/workshop-2", "kernel_id": "215917"}, {"ref": "graveen22/session-2", "kernel_id": "215891"}, {"ref": "debugs/ceci-est-un-titre", "kernel_id": "215916"}, {"ref": "capucineprudhomme/sc-ance-2", "kernel_id": "215907"}, {"ref": "flyingv57/notebook7d2b41ab57", "kernel_id": "215923"}, {"ref": "molleque/kaggle-session-2", "kernel_id": "215909"}, {"ref": "perladbsky/data-cleaning", "kernel_id": "215897"}, {"ref": "ceparis/session-2", "kernel_id": "215905"}, {"ref": "mdk1974/airbnb-0-86314", "kernel_id": "245029"}, {"ref": "roockinator/copain", "kernel_id": "215924"}, {"ref": "obledaym/notebook777ce7bf71", "kernel_id": "215896"}, {"ref": "obledaym/notebook767746fb94", "kernel_id": "215982"}, {"ref": "obledaym/partie-2", "kernel_id": "215984"}, {"ref": "theophilemolcard/donio", "kernel_id": "215928"}, {"ref": "elwanh/test-kaggle", "kernel_id": "215926"}, {"ref": "phamnuhuyentrang/session-2", "kernel_id": "215945"}, {"ref": "thiviyan/airbnb-customer-destination-prediction", "kernel_id": "232533"}, {"ref": "wzhiwei/rscript-0-86547", "kernel_id": "237609"}, {"ref": "liuyuwei61566/airbna-predict", "kernel_id": "265389"}, {"ref": "divyamg/notebook370b621f82", "kernel_id": "267980"}, {"ref": "smalhot/notebook6d79f820b1", "kernel_id": "268236"}, {"ref": "mnshrs/data-cleaning", "kernel_id": "290220"}, {"ref": "nikhiljangam/exploratory-data-analysis", "kernel_id": "353669"}, {"ref": "karagain/airbnb-exploratory-data-analysis-karsten", "kernel_id": "886508"}, {"ref": "yixinsunn/ndcg-example", "kernel_id": "885397"}, {"ref": "bhagyashreek/predicting-new-user-destination", "kernel_id": "484440"}, {"ref": "kelvinclu/6-s198-user-data-exploration", "kernel_id": "1729030"}, {"ref": "shaynarh/forked-airbnb-user-data-exploration", "kernel_id": "1250315"}, {"ref": "shaynarh/airbnb-cleaning-and-first-look-data", "kernel_id": "1249112"}, {"ref": "architabanik/user-data-exploration", "kernel_id": "1361168"}, {"ref": "lamdang/tutorial-airbnb", "kernel_id": "2274516"}, {"ref": "krunal3kapadiya/airbnb-new-user-data", "kernel_id": "2478631"}, {"ref": "alexshehata/airbnb-new-user-booking-vodafone", "kernel_id": "2593607"}, {"ref": "roydatascience/airbnb-new-user-booking-random-forest", "kernel_id": "2122158"}, {"ref": "justk1/airbnb", "kernel_id": "2197725"}, {"ref": "rupambanerjee3/predicting-destination-bookings-of-airbnb-users", "kernel_id": "2506756"}, {"ref": "fffjay/airbnb-new-user-bookings", "kernel_id": "2091371"}, {"ref": "hebarazzak/heba-abdelrazzak", "kernel_id": "2596266"}, {"ref": "raghavendrakotala/airbnb-springboard-eda", "kernel_id": "3756350"}, {"ref": "rucrazia/rucrazia-s-airbnb-data-eda", "kernel_id": "3165059"}, {"ref": "terminate9298/airbnb-first-sample", "kernel_id": "3852499"}, {"ref": "terminate9298/airbnb-second-kernel", "kernel_id": "3976469"}, {"ref": "star32134212/kernel418c1ff6f6", "kernel_id": "4876399"}, {"ref": "malgoro39/predicci-n-de-destinos-airbnb", "kernel_id": "4181033"}, {"ref": "aryandec25/airbnb-booking-prediction", "kernel_id": "4930816"}, {"ref": "omarqasim/eventum-task", "kernel_id": "5553433"}, {"ref": "sk3ptic/airbnb-part-1-of-3", "kernel_id": "5409715"}, {"ref": "sk3ptic/airbnb-part-3-of-3", "kernel_id": "5409968"}, {"ref": "sk3ptic/airbnb-part-2-of-3", "kernel_id": "5409764"}, {"ref": "starngu1/kernel600b7dc6ce", "kernel_id": "5927198"}, {"ref": "jagannathrk/airbnb-eda", "kernel_id": "6796506"}, {"ref": "kb2900/airbnb-new-user-booking-prediction", "kernel_id": "6872417"}, {"ref": "ma7555/in-depth-analysis-and-a-keras-dense-model", "kernel_id": "6339704"}, {"ref": "h30306/kernel17acd4ec3c", "kernel_id": "7382133"}, {"ref": "yanjuwang/kernel1cca433714", "kernel_id": "7337524"}, {"ref": "yanjuwang/finalexam", "kernel_id": "7337367"}, {"ref": "mikaylaedwards/airbnb-ml", "kernel_id": "7204625"}, {"ref": "anjalicr/user-data-exploration", "kernel_id": "7901900"}, {"ref": "mohamedbasueny/macathon1-0", "kernel_id": "7785889"}, {"ref": "xialalala/airbnb-kernel-for-final-project-accuracy-0-86510", "kernel_id": "7972348"}, {"ref": "ayafarrag/eventumtask", "kernel_id": "7212779"}, {"ref": "rahulkumardubey/airbnb-data-analysis", "kernel_id": "7802163"}, {"ref": "carlosars2/kaggle-competition-xgboosting-and-decision-tree", "kernel_id": "8800397"}, {"ref": "krutarthhd/airbnb-eda-and-xgboost", "kernel_id": "8718289"}, {"ref": "mattbast/airbnb-recommendation-engine", "kernel_id": "9302080"}, {"ref": "subwaymatch/airbnb-new-user-bookings-2", "kernel_id": "10911296"}, {"ref": "youweizou/airbnb-20200617", "kernel_id": "10186960"}, {"ref": "naidudheerajvardhan/airbnb-xgboost", "kernel_id": "10971515"}, {"ref": "mohammedkuheil/airbnb-eda-and-xgboost", "kernel_id": "10516210"}, {"ref": "akashbhiwgade/airbnb-ab", "kernel_id": "11205058"}, {"ref": "gizemayurderi/gizem-airbnb-model-fitting", "kernel_id": "11926312"}, {"ref": "nehalbandal/airbnb-predicting-user-s-1st-booking-destination", "kernel_id": "12314250"}, {"ref": "gizemcemileelik/airbnbsubmissions", "kernel_id": "12098648"}, {"ref": "gizemcemileelik/airbnb-rf-xgboost-label-encoded-resampled-not0-86", "kernel_id": "12068414"}, {"ref": "gizemayurderi/gizem-airbnb-model-fitting-drop-ndf", "kernel_id": "12177093"}, {"ref": "gizemayurderi/gizem-airbnb-eda", "kernel_id": "12158741"}, {"ref": "tangerinewang/submission", "kernel_id": "13668013"}, {"ref": "wafaasayed/airbnb-new-user-booking", "kernel_id": "13807510"}, {"ref": "wafaasayed/airbnbnewuserbooking", "kernel_id": "13819681"}, {"ref": "dawool1218/airbnb-210209-ml-p-not-complete", "kernel_id": "14777071"}, {"ref": "apple1122/airbnb-eda-and-xgboost", "kernel_id": "15727702"}, {"ref": "mohamed1907/airbnb-new-user-booking", "kernel_id": "15437962"}, {"ref": "mohamed1907/new-user-booking-final-prediction", "kernel_id": "15543840"}, {"ref": "iraseidman/airbnb-competition", "kernel_id": "15386297"}, {"ref": "kenjishioya/airbnb-new-user-bookings", "kernel_id": "15058299"}, {"ref": "karagain/kar-airbnb-pt-3-prediction", "kernel_id": "16685072"}, {"ref": "karagain/kar-airbnb-pt-2-exploration-ml", "kernel_id": "16597213"}, {"ref": "karagain/kar-airbnb-pt-1-exploration", "kernel_id": "16570241"}, {"ref": "mohamedtaha7/airbnb-customer-segment-analysis", "kernel_id": "17318497"}, {"ref": "faridsharaf/airbnb-booking-recommendation-xgboost", "kernel_id": "17296551"}, {"ref": "yuchengleo/airbnb-eda-and-xgboost-c143d9", "kernel_id": "17224192"}, {"ref": "cathy64/beginner-plotly", "kernel_id": "17313826"}, {"ref": "amiraabdelalim/vodafone-air-bnb-project", "kernel_id": "17316187"}, {"ref": "yasinnaal/airbnb-user-bookings-analysis", "kernel_id": "18264604"}, {"ref": "poolkit/airbnb-destination", "kernel_id": "19446102"}, {"ref": "ahmedabdelnasser289/sprints-training", "kernel_id": "20969993"}, {"ref": "karimmahmoud1999/notebook9dc0d15949", "kernel_id": "20968219"}, {"ref": "manas13/airbnb-new-user-bookings", "kernel_id": "21309294"}, {"ref": "nadaomran/sprints-training", "kernel_id": "21102318"}, {"ref": "mostafasaad127/sprints-training-ef0bb7", "kernel_id": "21108063"}, {"ref": "youmnammma/sprints-training-ef0bb7", "kernel_id": "21106550"}, {"ref": "ahmadossama/team-4-ds-training", "kernel_id": "21008740"}, {"ref": "yubi45/airbnb-new-user-bookings", "kernel_id": "22924299"}, {"ref": "islameladwiy/airbnb-new-user-bookings", "kernel_id": "23186140"}, {"ref": "yuxuanliu0626/airbnb-booking-prediction-voting-classifier", "kernel_id": "24057603"}, {"ref": "muhammadelemery/xgboost-80-important-features", "kernel_id": "24879906"}, {"ref": "muhammadelemery/airbnb-xgboost", "kernel_id": "24818980"}, {"ref": "reemmuhammad2/airbnbnewuserbookings", "kernel_id": "24767693"}, {"ref": "muhammadaer/airbnb-new-user-bookings", "kernel_id": "26986436"}, {"ref": "nick329/airbnb-new-user-bookings-w-xgb", "kernel_id": "27910266"}, {"ref": "petro98/mkhattab-airbnb", "kernel_id": "27812991"}, {"ref": "mohamedelgebaly/airbnb-vf", "kernel_id": "27817599"}, {"ref": "omarayoub/sprintstask1-airbnb", "kernel_id": "29720059"}, {"ref": "mhmdmatar/sprints-ds-task", "kernel_id": "29724222"}, {"ref": "stellartrajano/novo-destino", "kernel_id": "31638264"}, {"ref": "asmaamohy/airbnb-eda", "kernel_id": "33665710"}, {"ref": "asmaamohy/airbnb-preprocess", "kernel_id": "33732198"}, {"ref": "asmaamohy/airbnb-modeling", "kernel_id": "33749059"}, {"ref": "zzilman/second-version", "kernel_id": "33950478"}, {"ref": "yinshe/airbnb-new-user-bookings", "kernel_id": "33691670"}, {"ref": "yinshe/extreme-hyperparameter-tuning", "kernel_id": "33760262"}, {"ref": "saityazici/airbnb-new-user-project-script", "kernel_id": "34011824"}, {"ref": "tunahantas/t-airbnb-new-user-bookings", "kernel_id": "34593241"}, {"ref": "hopperchen/hopper-airbnb", "kernel_id": "36163902"}, {"ref": "ahmeddarwiiish/airbnb-compition-project-3-group1-v2", "kernel_id": "38815955"}, {"ref": "ahmeddarwiiish/model-development-eda", "kernel_id": "38016477"}, {"ref": "ashrakatsaeed/air-bnb-case-study", "kernel_id": "42581913"}, {"ref": "thnhanvng/test1-airbnb", "kernel_id": "54219267"}, {"ref": "sakurakh/p3-airbnb", "kernel_id": "55372995"}, {"ref": "mayaaboelkhier/air-bnb", "kernel_id": "64437598"}, {"ref": "mayaaboelkhier/airbnb-eda", "kernel_id": "64394662"}, {"ref": "ahmedmostafa101/ml-airbnb-sic-project", "kernel_id": "67270162"}, {"ref": "shreyastps30/dmresults", "kernel_id": "71438717"}, {"ref": "alaaokaly/airbnb-user-analysis", "kernel_id": "72819058"}, {"ref": "nourhansowar/notebook95f9420661", "kernel_id": "73952507"}, {"ref": "ahmedelhamamy/airbnb-classification", "kernel_id": "73322002"}, {"ref": "mariyumishtiaq/airbnb-exploratory-analysis", "kernel_id": "75568121"}, {"ref": "mazenalattar/airbnb-new-user-bookings-eda-xgboost", "kernel_id": "77008330"}, {"ref": "rehamh/airbnb-booking-prediction", "kernel_id": "77377139"}, {"ref": "faareesaymaan/airbnb-new-user-booking-eda", "kernel_id": "77401071"}, {"ref": "sohaashraf1/airbnb-competition", "kernel_id": "77270717"}, {"ref": "mazenahmed11/model-airbnb-eda", "kernel_id": "82454487"}, {"ref": "fisalilhamramadhani/uas-data-mining", "kernel_id": "85504236"}, {"ref": "rossimaevayuliana/uas-dm-rossima-eva-yuliana", "kernel_id": "85540973"}, {"ref": "anneconsulo/airbnb-exploratory-analysis", "kernel_id": "91009036"}, {"ref": "rowydaelshaer/airbnb-new-user-booking", "kernel_id": "98192563"}, {"ref": "mariamahmed26/airbnb", "kernel_id": "108862927"}, {"ref": "xuncngng/data-mining", "kernel_id": "115437933"}, {"ref": "nguyenploc/data-mining", "kernel_id": "117098450"}, {"ref": "nguyenploc/airbnb", "kernel_id": "117098529"}, {"ref": "sama320210069/notebook80666eb2d2", "kernel_id": "117050233"}, {"ref": "ammarsabbah/airbnb1", "kernel_id": "117135779"}, {"ref": "elkhawaga/nexus-task", "kernel_id": "117183936"}, {"ref": "zeinafadel/feature-engineering", "kernel_id": "117267463"}, {"ref": "zeinafadel/model-training", "kernel_id": "117267501"}, {"ref": "zeinafadel/data-preprocessing", "kernel_id": "117266880"}, {"ref": "ahmedwael04/data-preprocessing", "kernel_id": "117215364"}, {"ref": "ahmedwael04/feature-engineering", "kernel_id": "117225399"}, {"ref": "ahmedwael04/model-training", "kernel_id": "117229928"}, {"ref": "anashassan1/notebook026ea50bf7", "kernel_id": "117267314"}, {"ref": "anashassan1/notebook98b04e9e9d", "kernel_id": "117276120"}, {"ref": "hamzakhan9877/notebookb462bdbd0f", "kernel_id": "118523200"}]}
{"competition_id": "4654", "kernels": [{"ref": "bonesliu10318/visualization-walmart-trip-type-classification", "kernel_id": "7042123"}, {"ref": "himanshuchaudhary/dl-wal", "kernel_id": "11862755"}, {"ref": "dishask99/notebook8bb2428ec0", "kernel_id": "11817361"}, {"ref": "aniketvishnu/walmart-trip-type-classification-complete-model", "kernel_id": "11083523"}, {"ref": "sandeepsingh3480/notebook8ecd7cbceb", "kernel_id": "11885364"}, {"ref": "naksungp/quick-eda-plus-model", "kernel_id": "14262004"}, {"ref": "ortegayubro/walmart-clasificaci-n-tipo-de-viaje", "kernel_id": "14645997"}, {"ref": "xiaokevin2022/walmart01", "kernel_id": "26074365"}, {"ref": "thitchen/walmart", "kernel_id": "28827383"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "jailakshminc/walmart", "kernel_id": "68533332"}]}
{"competition_id": "4657", "kernels": [{"ref": "alexxanderlarko/rf-python", "kernel_id": "24947"}, {"ref": "alexxanderlarko/extratreesclassifier", "kernel_id": "24948"}, {"ref": "benhamner/notebook-40293c2cf8c6c24334b7", "kernel_id": "23601"}, {"ref": "benhamner/notebook-f989eda4a91b7ac151c8", "kernel_id": "23602"}, {"ref": "benhamner/notebook-098cac206e54fb5776bd", "kernel_id": "23603"}, {"ref": "benhamner/notebook-2675a342185d04aba470", "kernel_id": "23604"}, {"ref": "benhamner/notebook-f25fd7c025496ce02dbb", "kernel_id": "23605"}, {"ref": "maxareo/notebook-0753e8e3f349d7d5e8e0", "kernel_id": "23680"}, {"ref": "vateeshc/notebook-b94e268527248c8feca5", "kernel_id": "23979"}, {"ref": "parijat/notebook-1b981ab1e477e48fd5da", "kernel_id": "23754"}, {"ref": "parijat/xgboost-benchmark", "kernel_id": "23755"}, {"ref": "ohashijr/notebook-95d35f7ad63b05d82aea", "kernel_id": "30834"}, {"ref": "abhishek/xgboost-benchmark-1", "kernel_id": "23789"}, {"ref": "utkarshsinghal/notebook-26b8bf27ad19f955b369", "kernel_id": "33393"}, {"ref": "chipmonkey/notebook-38e1e0aed4a0ebed7d6e", "kernel_id": "23677"}, {"ref": "thegmax/notebook-31ff17651548bb2879ba", "kernel_id": "31394"}, {"ref": "gedankenexperiment/xgboosttest", "kernel_id": "33433"}, {"ref": "gedankenexperiment/notebook-5f0d7ce07d4d4c824b55", "kernel_id": "33533"}, {"ref": "gedankenexperiment/notebook-3a96cdf49988b3629bfa", "kernel_id": "33535"}, {"ref": "gedankenexperiment/notebook-6ea31944441f3554f3cf", "kernel_id": "33537"}, {"ref": "gedankenexperiment/read-start", "kernel_id": "33819"}, {"ref": "gedankenexperiment/notebook-c1bac0d9ab675fc8eef7", "kernel_id": "33824"}, {"ref": "zimovnov/notebook-76a8e0e5824e01b64aa6", "kernel_id": "35591"}, {"ref": "zimovnov/notebook-c3c5389af2efef2dfe46", "kernel_id": "35592"}, {"ref": "frosklis/notebook-3ab8a9822584cab56191", "kernel_id": "28879"}, {"ref": "frosklis/homesite-customer-predictions", "kernel_id": "28834"}, {"ref": "astikg/xgb-v1", "kernel_id": "30552"}, {"ref": "gsubramanian/notebook-c19f762147d6b9d74806", "kernel_id": "25165"}, {"ref": "modelpredictor/notebook-d444cd376099d3b4e422", "kernel_id": "24095"}, {"ref": "modelpredictor/notebook-f4a5b815286d704086f1", "kernel_id": "24327"}, {"ref": "imnishantg/data-exploration", "kernel_id": "23672"}, {"ref": "invinciblejha/homesite-customer-predictions", "kernel_id": "28213"}, {"ref": "invinciblejha/notebook-0fd966bec1ff6cf3fdb9", "kernel_id": "28214"}, {"ref": "oliverthemodeler/notebook-83e4b5bdf0494a900afe", "kernel_id": "27333"}, {"ref": "jrobischon/notebook-78eae5a44261d976b212", "kernel_id": "26756"}, {"ref": "kosti4ka/xgb-stop-test", "kernel_id": "37453"}, {"ref": "idrcee/notebook-a130a580f520a9acf254", "kernel_id": "29674"}, {"ref": "minhnhutnguyen/digging-deeper-and-deeper", "kernel_id": "31591"}, {"ref": "cskornel/notebook-caf5ce7e3d661322d99f", "kernel_id": "24230"}, {"ref": "cskornel/r-h2o", "kernel_id": "24265"}, {"ref": "datacanary/notebook-28b21d7a56e5b5145f5f", "kernel_id": "25853"}, {"ref": "datacanary/notebook-348dd7cc8ec2742a8666", "kernel_id": "24790"}, {"ref": "datacanary/r-template-script", "kernel_id": "24769"}, {"ref": "datacanary/python-template-script", "kernel_id": "24770"}, {"ref": "datacanary/notebook-80eeb9172385ba176f33", "kernel_id": "24776"}, {"ref": "datacanary/notebook-ea4a0b5b8036cc14691f", "kernel_id": "24777"}, {"ref": "datacanary/notebook-d1be8ed78b6c3a1c776a", "kernel_id": "24778"}, {"ref": "datacanary/notebook-840ea8ba1baa2d8441a2", "kernel_id": "24782"}, {"ref": "datacanary/notebook-4020ae281add9476adb7", "kernel_id": "24783"}, {"ref": "datacanary/notebook-f7d5018ca7189788df9e", "kernel_id": "24784"}, {"ref": "datacanary/notebook-661e3ace6fd01cfdbee0", "kernel_id": "24785"}, {"ref": "rejulien/why-is-everything-working-so-well", "kernel_id": "26914"}, {"ref": "fancyspeed/notebook-3f76932292c4663fe15c", "kernel_id": "24210"}, {"ref": "bascom/homesite-nochar-function-definition", "kernel_id": "33409"}, {"ref": "geek2002/homesitedkp", "kernel_id": "28480"}, {"ref": "geek2002/notebook-a7a940d98251ff164fa8", "kernel_id": "28488"}, {"ref": "ryo3ryosuu/notebook-285c7098ad22578825cf", "kernel_id": "24126"}, {"ref": "ryo3ryosuu/notebook-4d633e2793000947e235", "kernel_id": "24127"}, {"ref": "bearslan/testttt", "kernel_id": "31317"}, {"ref": "shlomyli/notebook-4343ad475ae055df298c", "kernel_id": "70823"}, {"ref": "cbourguignat/notebook-3fcdb619b43d05fe7ba7", "kernel_id": "25084"}, {"ref": "cbourguignat/test01", "kernel_id": "27326"}, {"ref": "sohcahtoa/test-to-figure-out-what-this-is", "kernel_id": "35428"}, {"ref": "kumareshd/extratreesclassifier", "kernel_id": "28777"}, {"ref": "gauravshri/notebook-078aedbaa195205e18e2", "kernel_id": "29431"}, {"ref": "gauravshri/homesite-ipy", "kernel_id": "29429"}, {"ref": "chadthenderson/test1", "kernel_id": "25810"}, {"ref": "gustavodemari/notebook-63048c85efec15ee1660", "kernel_id": "36863"}, {"ref": "gustavodemari/homesite-home-insurance", "kernel_id": "27968"}, {"ref": "davidhedengren/exploration", "kernel_id": "30473"}, {"ref": "vykhand/notebook-576d3260ffd0541e56dc", "kernel_id": "31063"}, {"ref": "vykhand/digging-deeper-and-deeper", "kernel_id": "29847"}, {"ref": "vykhand/homesite-with-lasagne", "kernel_id": "31768"}, {"ref": "vykhand/notebook-b6db5798eb2670ccfe63", "kernel_id": "32055"}, {"ref": "vykhand/xgb-stop", "kernel_id": "31255"}, {"ref": "vykhand/stats", "kernel_id": "33542"}, {"ref": "guzzipa/import", "kernel_id": "32250"}, {"ref": "ericbiernat/notebook-7aaba2303ae7f073b4cf", "kernel_id": "27385"}, {"ref": "erikjustin/notebook-49068ea927f82b0d3409", "kernel_id": "26293"}, {"ref": "arunkpe/notebook-9b1dcaf7626da828c828", "kernel_id": "30261"}, {"ref": "arunkpe/notebook-eb4a9993209839fd6980", "kernel_id": "32872"}, {"ref": "pythonomic/notebook-c2ed4b89c8857921198f", "kernel_id": "32802"}, {"ref": "pythonomic/homesite-with-lasagne", "kernel_id": "32800"}, {"ref": "alexkitchens/homesitefun", "kernel_id": "36565"}, {"ref": "alexkitchens/notebook-83823d76d1ba08402b63", "kernel_id": "36566"}, {"ref": "alexkitchens/funhomesite", "kernel_id": "36567"}, {"ref": "lawrencechernin/explore-resultwith-different-classifiers", "kernel_id": "23683"}, {"ref": "lordastinus/notebook-547d90f275f4324f596d", "kernel_id": "24287"}, {"ref": "mandalsubhajit/looking-for-files-that-went-missing", "kernel_id": "24169"}, {"ref": "georgem/notebook-3c05cb771ab2eea8948d", "kernel_id": "33434"}, {"ref": "lishantao/notebook-1f8a70ae749adf9968fc", "kernel_id": "39341"}, {"ref": "risntforpirates/notebook-432326109191c2fc4dd5", "kernel_id": "36079"}, {"ref": "ravisawhney/123456", "kernel_id": "25173"}, {"ref": "ravisawhney/notebook-4e433de416499d2a22fa", "kernel_id": "25174"}, {"ref": "mpearmain/xgboost-benchmark", "kernel_id": "23695"}, {"ref": "nkhuyu/beat-the-benchmark-in-7-lines", "kernel_id": "32022"}, {"ref": "aramis/test1", "kernel_id": "30644"}, {"ref": "svendegroeve/homesite-with-lasagne", "kernel_id": "32096"}, {"ref": "yashrajlamsal/homesite-customer-predictions", "kernel_id": "35007"}, {"ref": "uday1889/homesite-customer-predictions", "kernel_id": "27447"}, {"ref": "uday1889/notebook-6388bf7218781c0ce2e4", "kernel_id": "27448"}, {"ref": "uday1889/notebook-7cc3af37ae05ed909984", "kernel_id": "27487"}, {"ref": "uday1889/digging-deeper-and-deeper", "kernel_id": "27443"}, {"ref": "mf34richard/xgboost-benchmark", "kernel_id": "185989"}, {"ref": "paulperry/xgboost-benchmark", "kernel_id": "24258"}, {"ref": "niranjansonachalam/notebook-5003ab245c501dd3e7de", "kernel_id": "32262"}, {"ref": "aspaceo/test1", "kernel_id": "30964"}, {"ref": "shuklaks/notebook-e4eca49f150f0b4c0f0d", "kernel_id": "31364"}, {"ref": "tomomotofactory/notebook-86de6f9ee178b592b52a", "kernel_id": "25343"}, {"ref": "maneeshkm/notebook-78ff055c565d69256b45", "kernel_id": "25497"}, {"ref": "cintron/stats", "kernel_id": "37641"}, {"ref": "karandravs/digging-deeper-and-deeper", "kernel_id": "36361"}, {"ref": "ceshine/digging-deeper-and-deeper", "kernel_id": "31802"}, {"ref": "dankolbman/notebook-abea1e9642a524785f96", "kernel_id": "31082"}, {"ref": "sibiyes/notebook-651dad6b981957229698", "kernel_id": "32442"}, {"ref": "saladianoop/digging-deeper-and-deeper", "kernel_id": "31444"}, {"ref": "phunter/xgboost-with-gridsearchcv", "kernel_id": "34580"}, {"ref": "ozziebelazi/first-draft", "kernel_id": "25000"}, {"ref": "namlequang/digging-deeper-and-deeper", "kernel_id": "29812"}, {"ref": "dimitrislev/xgboost-benchmark", "kernel_id": "23733"}, {"ref": "dimitrislev/xgboost-benchmark-1", "kernel_id": "24098"}, {"ref": "jaehan/notebook-bddb33ddf841d603a10a", "kernel_id": "23947"}, {"ref": "samalallover/stats", "kernel_id": "34566"}, {"ref": "jaerimsy/notebook-06df80731b540831011e", "kernel_id": "24245"}, {"ref": "mikedemurtas/notebook-da13fc8ac2fc7045053b", "kernel_id": "23742"}, {"ref": "paso84/xgboost-bayesian-optimization", "kernel_id": "27901"}, {"ref": "harjeet/notebook-47377fa7762fb5f32b03", "kernel_id": "30950"}, {"ref": "schneid/hello-world", "kernel_id": "26960"}, {"ref": "schneid/notebook-aa06964c574615aef78a", "kernel_id": "26963"}, {"ref": "sabyari/digging-deeper-and-deeper", "kernel_id": "31718"}, {"ref": "jayasimha/testscript", "kernel_id": "32876"}, {"ref": "kartikpatel/notebook-8d0476591a5235813702", "kernel_id": "32947"}, {"ref": "praveenak/notebook-b2e987656030e5460ba7", "kernel_id": "23702"}, {"ref": "aelise/notebook-9d47e0a5f977aabdd6e1", "kernel_id": "25254"}, {"ref": "aelise/xgboost-benchmark", "kernel_id": "25069"}, {"ref": "longnguyen/histogram-of-important-features-vs-label", "kernel_id": "31680"}, {"ref": "longnguyen/notebook-de978e372cd2721fc21b", "kernel_id": "31682"}, {"ref": "longnguyen/python-version", "kernel_id": "43701"}, {"ref": "jyotiman/notebook-04b3d7c2fae999a1d475", "kernel_id": "36351"}, {"ref": "vchagas/notebook9cc61037aa", "kernel_id": "175432"}, {"ref": "jiajunyang/kaggle-home", "kernel_id": "34877"}, {"ref": "fabienvauchelles/notebook-419df1e1b36a1733f0f7", "kernel_id": "27107"}, {"ref": "rcorty/rwc-first-try", "kernel_id": "24496"}, {"ref": "outliar/notebook-0e1db3756fb947acdb1d", "kernel_id": "34642"}, {"ref": "brandenkmurray/beat-the-benchmark-in-7-lines", "kernel_id": "31326"}, {"ref": "satishreddym/test-solution", "kernel_id": "32973"}, {"ref": "debaryadutta/test1", "kernel_id": "33899"}, {"ref": "debaryadutta/notebook-048bd392b7a02172d686", "kernel_id": "33894"}, {"ref": "debaryadutta/notebook-8c24a3346c3020c35b01", "kernel_id": "33902"}, {"ref": "debaryadutta/notebook-4e52dac720d5bf95e61a", "kernel_id": "33903"}, {"ref": "debaryadutta/notebook-3c078f414ace8d24ac16", "kernel_id": "33904"}, {"ref": "raghparihar/xgb-sto", "kernel_id": "37650"}, {"ref": "claynoyes/notebook-f227517428dbb59caca9", "kernel_id": "25634"}, {"ref": "claynoyes/version1", "kernel_id": "25635"}, {"ref": "waelfarah/notebook-96a4a72e02b56acdbcf7", "kernel_id": "24223"}, {"ref": "mohdatir/summary", "kernel_id": "25137"}, {"ref": "mohdatir/xgboost-benchmark", "kernel_id": "25141"}, {"ref": "ricgama/xgb-stop", "kernel_id": "31962"}, {"ref": "ricgama/notebook-1f202f6186aed999d96c", "kernel_id": "31996"}, {"ref": "hasanmujtaba/xgboost-benchmark-1", "kernel_id": "24183"}, {"ref": "balikasg/notebook-8c2466b5cce4ef1b8d03", "kernel_id": "24915"}, {"ref": "sushize/xgb-stop", "kernel_id": "23948"}, {"ref": "sushize/xgb-ssz", "kernel_id": "23867"}, {"ref": "sushize/xgb-ssz-2-1", "kernel_id": "23871"}, {"ref": "zhuoyingwang/notebook-de05f33fdf222b2d9fc5", "kernel_id": "36461"}, {"ref": "suresubs/notebook-00cf0222ced606937136", "kernel_id": "36244"}, {"ref": "mips88/test1", "kernel_id": "25083"}, {"ref": "mips88/notebook-63fe44396de13cacbd66", "kernel_id": "25079"}, {"ref": "mips88/notebook-d07bbd944c13f6ed0de4", "kernel_id": "25080"}, {"ref": "npboolean/notebook-2a291e3dceccc341edd4", "kernel_id": "24982"}, {"ref": "ramanand/xg-boost-tuned", "kernel_id": "24192"}, {"ref": "ramanand/xgb-stop", "kernel_id": "25245"}, {"ref": "aurelg1106/homesite-customer-predictions", "kernel_id": "34748"}, {"ref": "pappukrjha/homesite", "kernel_id": "30746"}, {"ref": "francbracun/digging-deeper-and-deeper", "kernel_id": "27764"}, {"ref": "francbracun/r-h2o", "kernel_id": "27767"}, {"ref": "francbracun/notebook-2c644021ce675b53206f", "kernel_id": "27768"}, {"ref": "francbracun/notebook-bb5420b542ed1b458722", "kernel_id": "27769"}, {"ref": "chenran818/notebook-90c4207a37f12d00969d", "kernel_id": "30449"}, {"ref": "chenran818/notebook-27599cbd70fdcd3a09c3", "kernel_id": "30450"}, {"ref": "chenran818/notebook-c1d81a3b77678cf742fb", "kernel_id": "30451"}, {"ref": "kritika19/notebook-f83cfbc9fec91a8032a4", "kernel_id": "26288"}, {"ref": "sivakumard/notebook-1dbe5c43f7edafcfa6a6", "kernel_id": "34286"}, {"ref": "beckeroo/notebook-ad9009c6bbdf4633d381", "kernel_id": "26740"}, {"ref": "beckeroo/notebook-30c3ea3a5f3518cfd0f0", "kernel_id": "26755"}, {"ref": "beckeroo/testonetwo", "kernel_id": "24485"}, {"ref": "beckeroo/notebook-8fecc00771f9ade258e2", "kernel_id": "23968"}, {"ref": "beckeroo/notebook-773aaaa19a2f54319a88", "kernel_id": "23970"}, {"ref": "beckeroo/summarize-variables", "kernel_id": "31464"}, {"ref": "michaelpawlus/xgboost-starter-script-in-r", "kernel_id": "24013"}, {"ref": "michaelpawlus/xgboost-benchmark", "kernel_id": "23758"}, {"ref": "stormer1120/notebook-54f3a24d64c5d796ff07", "kernel_id": "29763"}, {"ref": "adiagrawal13/notebook-b0beb805490168df7590", "kernel_id": "35736"}, {"ref": "republic966/xgb-stop12", "kernel_id": "37677"}, {"ref": "republic966/xgb-stop-lm", "kernel_id": "37622"}, {"ref": "republic966/trail1", "kernel_id": "37461"}, {"ref": "floatlizi/notebook-4c58a0990200e98ac921", "kernel_id": "31528"}, {"ref": "mbenkhemis/notebook-2243f95c1dc682ff081a", "kernel_id": "32860"}, {"ref": "mbenkhemis/notebook-93b04bd99d39de2dea57", "kernel_id": "32861"}, {"ref": "mbenkhemis/notebook-6fd5f88e93c00e0fc3e4", "kernel_id": "24385"}, {"ref": "mbenkhemis/explore-resultwith-different-classifiers", "kernel_id": "24388"}, {"ref": "tharindudr/xgb-0-9674", "kernel_id": "37374"}, {"ref": "tharindudr/xgb-r-starter-script-with-early-stopping", "kernel_id": "23815"}, {"ref": "dlsiii/an-initial-look-at-the-variables", "kernel_id": "31263"}, {"ref": "dlsiii/initial-look-at-the-variables", "kernel_id": "31298"}, {"ref": "numbers/notebook-cb531a6cafb78324ecb2", "kernel_id": "30728"}, {"ref": "numbers/notebook-b005e91e13c2d9797bb8", "kernel_id": "31493"}, {"ref": "numbers/notebook-66173c801f02b3597b8c", "kernel_id": "31495"}, {"ref": "numbers/notebook-fdb98bc7ba449bcfb38e", "kernel_id": "31503"}, {"ref": "numbers/histogram-of-important-features-vs-label", "kernel_id": "32338"}, {"ref": "sujeeth/homesite-customer-predictions", "kernel_id": "35214"}, {"ref": "tmfukui/notebook-0278658ea15b2de8a169", "kernel_id": "29035"}, {"ref": "tmfukui/notebook-899e24798a7650b840eb", "kernel_id": "29036"}, {"ref": "tmfukui/notebook-d4a85b78d68da7d58f6f", "kernel_id": "29044"}, {"ref": "tmfukui/notebook-b96c6386e7edb1563027", "kernel_id": "29048"}, {"ref": "tmfukui/notebook-73e57dd3dcf78c2ad9da", "kernel_id": "29185"}, {"ref": "tmfukui/notebook-e5aeeeb3d1300d6151bf", "kernel_id": "34544"}, {"ref": "darraghdog/notebook-8b45f1288e337242c39e", "kernel_id": "37442"}, {"ref": "darraghdog/notebook-2b315d0d2657c813ff96", "kernel_id": "31558"}, {"ref": "darraghdog/homesite-with-lasagne", "kernel_id": "31559"}, {"ref": "darraghdog/check-custom-objective", "kernel_id": "31590"}, {"ref": "darraghdog/notebook-5283f385334b3986bdd5", "kernel_id": "28809"}, {"ref": "thejol/notebook-7b33c8f48b9f1ff21c62", "kernel_id": "23761"}, {"ref": "bibins/notebook-b88a02ed5179260437ee", "kernel_id": "23895"}, {"ref": "vbandaru/notebook-66b4893426a0ffce94c4", "kernel_id": "36129"}, {"ref": "siddharthakur/test-xgboost", "kernel_id": "32970"}, {"ref": "siddharthakur/new-test", "kernel_id": "32991"}, {"ref": "kesamet/notebook-86058408c21ca9cae980", "kernel_id": "25909"}, {"ref": "kesamet/test1", "kernel_id": "25910"}, {"ref": "dasirra/testds", "kernel_id": "25054"}, {"ref": "dasirra/notebook-159e0c9b4d4bec02ab20", "kernel_id": "25056"}, {"ref": "chandrak/stats", "kernel_id": "34293"}, {"ref": "yunali/r-test1", "kernel_id": "24923"}, {"ref": "selimraboudi/visualizing-the-leaderboard-scores", "kernel_id": "33937"}, {"ref": "kapetis/xgb-stop-2", "kernel_id": "26289"}, {"ref": "kapetis/xgboost-benchmark-1", "kernel_id": "23776"}, {"ref": "kapetis/xgboost-benchmark", "kernel_id": "23773"}, {"ref": "kapetis/notebook-47ef5c6e0d6fec23097d", "kernel_id": "23920"}, {"ref": "alliehut/notebook-8c6acc2bbb39419e885c", "kernel_id": "24440"}, {"ref": "alliehut/notebook-784eaa067cc96f475d5a", "kernel_id": "24441"}, {"ref": "rockbottom73/random-forest-0-9583-benchamark", "kernel_id": "24378"}, {"ref": "spattigilli/notebook-39abbf9be6f07d513441", "kernel_id": "26803"}, {"ref": "iauhsw/notebook-e6c93e757b35b19fd695", "kernel_id": "27370"}, {"ref": "iauhsw/test1", "kernel_id": "27371"}, {"ref": "iauhsw/notebook-cf37295bba61756a238d", "kernel_id": "27313"}, {"ref": "weiwangds/kaggle-homesite", "kernel_id": "27430"}, {"ref": "kgjkgj/notebook-ebc5c44f6f8d394c9a44", "kernel_id": "23899"}, {"ref": "kgjkgj/notebook-da20c6748d02819339cd", "kernel_id": "23900"}, {"ref": "aikanor/notebook-9ae825d02dae173dfad4", "kernel_id": "36311"}, {"ref": "rohitm92/notebook-d148244d3e34cdf8a2ef", "kernel_id": "29671"}, {"ref": "dimiter/notebook-5633c463ebac2aad9892", "kernel_id": "33911"}, {"ref": "dimiter/notebook-5fde6edbbe8fb946d5e9", "kernel_id": "33913"}, {"ref": "dimiter/notebook-6a43cacda0219c75ae98", "kernel_id": "33914"}, {"ref": "dimiter/testnotebook", "kernel_id": "33915"}, {"ref": "dimiter/notebook-f30b4a0c801b1772e109", "kernel_id": "33916"}, {"ref": "dimiter/notebook-ffee24f06c3668870870", "kernel_id": "33917"}, {"ref": "dimiter/notebook-ce1bedd46cdbd6e06d98", "kernel_id": "33918"}, {"ref": "dimiter/notebook-f31c15297d7578861ac8", "kernel_id": "33919"}, {"ref": "manasrkar/keras-sample-run", "kernel_id": "33081"}, {"ref": "physhark/notebook-518464b00888e41d7f74", "kernel_id": "25066"}, {"ref": "xiaocenxiaocen/myscript-with-feature-selection", "kernel_id": "34819"}, {"ref": "louismungin/notebook-d375d5ce483c661213da", "kernel_id": "23705"}, {"ref": "farzana/notebook-f50f746011895150b544", "kernel_id": "25644"}, {"ref": "farzana/testing", "kernel_id": "25645"}, {"ref": "anglipku/notebook-384e78a5cd80da22e2c9", "kernel_id": "24355"}, {"ref": "bikasha/notebook-45ac0ee22b9218a8841c", "kernel_id": "23738"}, {"ref": "gingayoshizawa/notebook-3683bb44a520847fb609", "kernel_id": "29136"}, {"ref": "lartuen/firsttrial", "kernel_id": "28543"}, {"ref": "martinpenev/notebook-c27e0e4655e8b27da317", "kernel_id": "24981"}, {"ref": "cselefendi/explorer", "kernel_id": "36069"}, {"ref": "shuimuxixiha/notebook-e8b44c29124786d43063", "kernel_id": "33378"}, {"ref": "dajiana/my-rf", "kernel_id": "30157"}, {"ref": "dajiana/my-xgb", "kernel_id": "30159"}, {"ref": "skylord/digging-through", "kernel_id": "23851"}, {"ref": "skylord/notebook-2098fe10e75df4338b4d", "kernel_id": "23854"}, {"ref": "skylord/digging-deeper-and-deeper", "kernel_id": "23855"}, {"ref": "skylord/notebook-2ba9269467dd45e75171", "kernel_id": "23999"}, {"ref": "skylord/notebook-b5fb7b09b1ecaada63a4", "kernel_id": "24001"}, {"ref": "damiengo/notebook-279b440d2316d5360b2c", "kernel_id": "26095"}, {"ref": "damiengo/notebook-8357654884316beee164", "kernel_id": "28330"}, {"ref": "damiengo/tests", "kernel_id": "30723"}, {"ref": "damiengo/data-viewing", "kernel_id": "30560"}, {"ref": "damiengo/data-exploring", "kernel_id": "30408"}, {"ref": "damiengo/xgboost-benchmark-2", "kernel_id": "31793"}, {"ref": "damiengo/all-a-home-need-is-some-xgbooster", "kernel_id": "32488"}, {"ref": "nikhilhegde9/test-2", "kernel_id": "32561"}, {"ref": "nikhilhegde9/test-1234", "kernel_id": "33623"}, {"ref": "nikhilhegde9/test-12345", "kernel_id": "33629"}, {"ref": "bleeef/coucou", "kernel_id": "27368"}, {"ref": "davidsl83/notebook-042ffb61e981bc7978d0", "kernel_id": "30868"}, {"ref": "kovacicm/notebook-2d629ea695c24724d18b", "kernel_id": "32954"}, {"ref": "dhirajkhanna/notebook-343bc3721a5cec6a287f", "kernel_id": "31554"}, {"ref": "venkatesh01/homesite-customer-predictions", "kernel_id": "25733"}, {"ref": "venkatesh01/notebook-9cbb8b9e0615ba3cee0e", "kernel_id": "25735"}, {"ref": "venkatesh01/notebook-e113d93501165ac7f340", "kernel_id": "25738"}, {"ref": "janekk/notebook-d9f5297ba9fc8e3067fe", "kernel_id": "29113"}, {"ref": "lvfuyu/aaddddd", "kernel_id": "26471"}, {"ref": "lvfuyu/notebook-99792fc250efe8e55c77", "kernel_id": "26472"}, {"ref": "yonidahan/notebook-4aef22dc0d3047acf6aa", "kernel_id": "27136"}, {"ref": "yonidahan/notebook-872b09c03e245b046e00", "kernel_id": "27137"}, {"ref": "yonidahan/notebook-a95a3d94c02d94d2dc9f", "kernel_id": "27138"}, {"ref": "yonidahan/example-using-random-forest", "kernel_id": "27139"}, {"ref": "yonidahan/notebook-232e6f7dd163beb4e56c", "kernel_id": "28542"}, {"ref": "cjferba/stats", "kernel_id": "33383"}, {"ref": "vigneshm/notebook-6e7b0d313ee91c69ea28", "kernel_id": "29511"}, {"ref": "vigneshm/notebook-0821cf8c64e992696428", "kernel_id": "29519"}, {"ref": "aishualex/notebook-dd46eb70cca83123ed3b", "kernel_id": "25918"}, {"ref": "aishualex/notebook-629c0d59a68ccb1b278d", "kernel_id": "25919"}, {"ref": "keberhard/homesite-customer-predictions", "kernel_id": "28287"}, {"ref": "keberhard/notebook-f9d95f4ab1b7d18e7e56", "kernel_id": "28296"}, {"ref": "kismet/notebook-7ba3ef139ee5f231749b", "kernel_id": "32181"}, {"ref": "kismet/testk", "kernel_id": "32182"}, {"ref": "mihalych/notebook-c85476d6b91e59b76414", "kernel_id": "32609"}, {"ref": "justfor/homeseite-testground", "kernel_id": "24229"}, {"ref": "rikant/notebook-17c5339fbcc6fc9497fe", "kernel_id": "34576"}, {"ref": "rikant/digging-deeper-and-deeper", "kernel_id": "33840"}, {"ref": "jijosunny/notebook-07a30b227ea2a44e8025", "kernel_id": "23722"}, {"ref": "datake/test-homesite", "kernel_id": "33193"}, {"ref": "datake/notebook-08ad3c247d47dad70980", "kernel_id": "33194"}, {"ref": "artimous/rand1234", "kernel_id": "29276"}, {"ref": "artimous/notebook-c4fd6370475449a39bb3", "kernel_id": "29277"}, {"ref": "cliffpackman/xgb-stop", "kernel_id": "36146"}, {"ref": "lvitor/notebook-05c298e89bd2e309ddc7", "kernel_id": "31989"}, {"ref": "lvitor/notebook-0a533fa626dc6c26abc3", "kernel_id": "31286"}, {"ref": "lvitor/leonardo", "kernel_id": "31287"}, {"ref": "jmalini/notebook-29c3121f832d7f233ace", "kernel_id": "23828"}, {"ref": "ilyapm/notebook-d5569b00e7b0e878667c", "kernel_id": "25429"}, {"ref": "nbalawat/notebook-458e8210d5cb3b798a9c", "kernel_id": "29452"}, {"ref": "jrsskumard/notebook-7ea14a1198b18fc027e4", "kernel_id": "23693"}, {"ref": "jrsskumard/notebook-47bdba282aac716a1c80", "kernel_id": "23694"}, {"ref": "luckick/xgboost-with-gridsearchcv", "kernel_id": "34616"}, {"ref": "alexma/digging-deeper-and-deeper", "kernel_id": "35507"}, {"ref": "alexma/notebook-708c1d95a96ce1f87e1c", "kernel_id": "35508"}, {"ref": "alexma/notebook-e6abfb34b038c997be90", "kernel_id": "35509"}, {"ref": "marvinbertin/testmarv", "kernel_id": "28194"}, {"ref": "zhugds/eda-homesite", "kernel_id": "56033"}, {"ref": "chrisrusso/notebook-01a3b8ff144ac9d3a20b", "kernel_id": "26043"}, {"ref": "chrisrusso/notebook-75542aa3660bdae2f5ba", "kernel_id": "26044"}, {"ref": "innerproduct/xgboost-benchmark", "kernel_id": "32209"}, {"ref": "robcamp/notebook-4cfa37a1ce3679d3cab7", "kernel_id": "25804"}, {"ref": "robcamp/intro", "kernel_id": "25805"}, {"ref": "dziduchm/homesite-with-lasagne", "kernel_id": "31831"}, {"ref": "yanling/notebook-8b566f3aa1956274895d", "kernel_id": "23676"}, {"ref": "ahslaughter/notebook-e5eea9cb3996dc6d7a77", "kernel_id": "30053"}, {"ref": "harshratde/homesite-with-lasagne", "kernel_id": "33367"}, {"ref": "lamdang/notebook-484205eb2f9e8e4584b0", "kernel_id": "25363"}, {"ref": "lamdang/notebook-68edb68f4c953cd543fe", "kernel_id": "31952"}, {"ref": "gardiner/notebook-1d1ae92ff213cd08b644", "kernel_id": "33404"}, {"ref": "arcticknight/notebook-d394d15e6c89ad1cb64b", "kernel_id": "30056"}, {"ref": "arcticknight/notebook-8e762bc20b3432b8b25b", "kernel_id": "30183"}, {"ref": "goalminer/notebook-14eb0bec635f8141d478", "kernel_id": "29945"}, {"ref": "crossvalidated/notebook-a184dd75b23f16bcee02", "kernel_id": "32069"}, {"ref": "tushartilwankar/xgboost-benchmark", "kernel_id": "24346"}, {"ref": "hxd1011/example-using-random-forest", "kernel_id": "29886"}, {"ref": "hxd1011/quotepredictor", "kernel_id": "30086"}, {"ref": "bishwarup/xgb-stop", "kernel_id": "26424"}, {"ref": "apshreyans/copied-and-tuned-1", "kernel_id": "33925"}, {"ref": "shankarpandala/notebook-e6444e1e08ad41ed82a5", "kernel_id": "24264"}, {"ref": "ymcdull/notebook-6d58e6e0578829659d5b", "kernel_id": "68956"}, {"ref": "ucabhoa/test-20160125", "kernel_id": "35110"}, {"ref": "ucabhoa/notebook-731265ee7cef3ed657ed", "kernel_id": "35112"}, {"ref": "ucabhoa/notebook-751a188202b898fa1f75", "kernel_id": "35114"}, {"ref": "ucabhoa/notebook-7fc9786be344a8c75cf5", "kernel_id": "35115"}, {"ref": "igwilson/xgb-stop", "kernel_id": "36279"}, {"ref": "aditya23/first-xgboost", "kernel_id": "32522"}, {"ref": "dreeux/xgb-run", "kernel_id": "82370"}, {"ref": "dreeux/xgb-st", "kernel_id": "82365"}, {"ref": "mtfall/notebook0d563b0577", "kernel_id": "184161"}, {"ref": "mromann/notebook-5b444f947ce91f219448", "kernel_id": "32261"}, {"ref": "mromann/notebook-476430fd01c057fe6483", "kernel_id": "32256"}, {"ref": "mromann/notebook-b4f14e73f001b5d37775", "kernel_id": "32239"}, {"ref": "mromann/notebook-5a00f66df07491aac000", "kernel_id": "32221"}, {"ref": "mromann/homesite-nolearn2", "kernel_id": "32282"}, {"ref": "jerrylin/homesite-customer-predictions", "kernel_id": "64023"}, {"ref": "akurasala/notebook-faf6c2b5a2cfbc2c9883", "kernel_id": "25536"}, {"ref": "yangnanhai/notebook-b525450e9d77012cffdf", "kernel_id": "32846"}, {"ref": "yangnanhai/keras-around-0-9633", "kernel_id": "32847"}, {"ref": "yangnanhai/deep-learning-with-keras-around-0-96366", "kernel_id": "33057"}, {"ref": "flo883/exploration-data1", "kernel_id": "24213"}, {"ref": "pwalker/notebook-3ef408c9f4b4b65b0513", "kernel_id": "28491"}, {"ref": "pwalker/notebook-9e3ca0441e7695670403", "kernel_id": "28492"}, {"ref": "pwalker/test-notebook", "kernel_id": "28481"}, {"ref": "datasj/xgbtsr", "kernel_id": "24299"}, {"ref": "datasj/xgbrs", "kernel_id": "23764"}, {"ref": "datasj/xgbtryscript", "kernel_id": "23762"}, {"ref": "adityashrm21/xgb-stop", "kernel_id": "30774"}, {"ref": "harishshanbhag/a12345", "kernel_id": "31692"}, {"ref": "tcaneva/xgboost-and-h2o-grid-search-parameters", "kernel_id": "35142"}, {"ref": "cuworkhard/notebook-c66c25953e4d43a75915", "kernel_id": "24502"}, {"ref": "sdlane/notebook-bdb876d6fe76acdd15eb", "kernel_id": "30898"}, {"ref": "sdlane/notebook-bf152106e952eef46b9e", "kernel_id": "30899"}, {"ref": "filipacsr/notebook-35eef9745d7c7d7b9974", "kernel_id": "23756"}, {"ref": "behrang/xgb-0-9674", "kernel_id": "36558"}, {"ref": "behrang/xgb-stop", "kernel_id": "31881"}, {"ref": "superrn/notebook-1eb26d5b09c737024c88", "kernel_id": "23949"}, {"ref": "superrn/notebook-b32f38368215cc7beaa8", "kernel_id": "23951"}, {"ref": "superrn/this-is-only-a-test", "kernel_id": "23952"}, {"ref": "wishfulsaint/keras-around-0-9633", "kernel_id": "35761"}, {"ref": "batanov/notebook-2310d7369fa224a6556d", "kernel_id": "28838"}, {"ref": "prakashanand/myfile", "kernel_id": "24103"}, {"ref": "prakashanand/second-model", "kernel_id": "30652"}, {"ref": "prakashanand/notebook-704c5e7c88e20c6c61ca", "kernel_id": "30431"}, {"ref": "prakashanand/notebook-9dd892f1b13fb03fc18e", "kernel_id": "30385"}, {"ref": "prakashanand/first-model", "kernel_id": "30386"}, {"ref": "abhilashawasthi/xgb-s", "kernel_id": "33241"}, {"ref": "abhilashawasthi/xgb-stop-1", "kernel_id": "33238"}, {"ref": "nujcharee/testped", "kernel_id": "31435"}, {"ref": "nujcharee/testped1", "kernel_id": "31436"}, {"ref": "mso4106/notebook-2dbfbe35fe2a65acb413", "kernel_id": "30932"}, {"ref": "mso4106/mainscript", "kernel_id": "30933"}, {"ref": "kilojoules/test-script", "kernel_id": "28217"}, {"ref": "kilojoules/notebook-62ebc2ffb428f1503d1b", "kernel_id": "28223"}, {"ref": "kilojoules/house-location", "kernel_id": "28388"}, {"ref": "kilojoules/testing-lasagna", "kernel_id": "30135"}, {"ref": "azsefi/extratreesclassifier", "kernel_id": "31345"}, {"ref": "kknest/myfirst", "kernel_id": "34282"}, {"ref": "kknest/myscrip-with-feature-selection", "kernel_id": "34697"}, {"ref": "amirhosseinr/notebook-7ce29bd52b2bdf5b7442", "kernel_id": "24088"}, {"ref": "activesloth/notebook-45bd8fcc1e49b7513644", "kernel_id": "25640"}, {"ref": "activesloth/notebook-bb8226a72c5bc6e92c9b", "kernel_id": "24449"}, {"ref": "matefh/stats", "kernel_id": "33878"}, {"ref": "thedude42/digging-deeper-and-deeper", "kernel_id": "31744"}, {"ref": "sionek/myscript-with-feature-selection", "kernel_id": "35288"}, {"ref": "sionek/xgboost-benchmark", "kernel_id": "23771"}, {"ref": "whereisdodo/notebookb5da2c6177", "kernel_id": "167358"}, {"ref": "theghost/beat-the-benchmark-in-7-lines", "kernel_id": "31997"}, {"ref": "theghost/testing-script", "kernel_id": "35738"}, {"ref": "ercfermi/notebook-e98fee0ea0fa8778c178", "kernel_id": "33785"}, {"ref": "aostrikov/notebook-ae9428a17fdaaceac322", "kernel_id": "30883"}, {"ref": "empiricus/notebook-de8192a51360c2159718", "kernel_id": "28976"}, {"ref": "xparedesfortuny/notebook-3fabc43b2cec90c31ed7", "kernel_id": "25551"}, {"ref": "wptoux/test1", "kernel_id": "28772"}, {"ref": "wptoux/notebook-c264f344adadf71710ce", "kernel_id": "57871"}, {"ref": "sdalaman/homesite-with-lasagne", "kernel_id": "31770"}, {"ref": "philcui/notebook-f56dfe1ff7b87ced4dd2", "kernel_id": "29753"}, {"ref": "ml3705455/yingwen", "kernel_id": "29397"}, {"ref": "chetkhatri/notebook-7ddc1f423ce2123e876b", "kernel_id": "33973"}, {"ref": "niks2000/notebook-d27f79a4bc461c6bfafa", "kernel_id": "33112"}, {"ref": "alexlzzz/notebook-515e21c0839ea7fd4de4", "kernel_id": "28090"}, {"ref": "alexlzzz/xgb-stop", "kernel_id": "28092"}, {"ref": "nangong/notebook-3d3132164c90dd7ce18c", "kernel_id": "24389"}, {"ref": "highspirits/notebook-baf90e1a283de7209873", "kernel_id": "24308"}, {"ref": "jals123/notebook-49fb8bdce94e740ba4ea", "kernel_id": "24002"}, {"ref": "yimacs/notebook-90bc850cbf1b67341875", "kernel_id": "31073"}, {"ref": "mohitmohan/notebook-02403b9fac3f7b932249", "kernel_id": "24280"}, {"ref": "reupiey/notebook-f1069817dac3bb99bc8b", "kernel_id": "49258"}, {"ref": "reupiey/notebook-610b0581895a1dcb1a13", "kernel_id": "49265"}, {"ref": "reupiey/notebook-df12a3f8eee916ccb99b", "kernel_id": "49266"}, {"ref": "rspeare/notebook-f520948379c62c966eb3", "kernel_id": "24135"}, {"ref": "rspeare/notebook-23a9b9217fc5318ef5ab", "kernel_id": "24136"}, {"ref": "cjbierkaai/notebook-ba7ace495eebaa0743f4", "kernel_id": "28329"}, {"ref": "merlin101/test1", "kernel_id": "25563"}, {"ref": "clusterhunter/exploration-script", "kernel_id": "24147"}, {"ref": "gunnhildhp/notebook-7d73a2d36d9d40caecf2", "kernel_id": "57542"}, {"ref": "gunnhildhp/notebook-970a51e7e278bf49070f", "kernel_id": "56979"}, {"ref": "happycube/keras-around-0-9633-bugfix-line-84", "kernel_id": "32856"}, {"ref": "karthikvutukuru/notebook-6c099b6ba1982a8bca01", "kernel_id": "24062"}, {"ref": "karthikvutukuru/file1x", "kernel_id": "24064"}, {"ref": "zxcvbn/notebook-a783d8513cdc5434677a", "kernel_id": "33995"}, {"ref": "vikramc/notebook-0cada59af4000ac1b49b", "kernel_id": "30801"}, {"ref": "sanjeev300/notebook-b65e3567a8d48713c401", "kernel_id": "57118"}, {"ref": "sanjeev300/notebook-3d92b7455be42133178f", "kernel_id": "57116"}, {"ref": "uuurrr/notebook-6e4cebf8b0ff836d3d53", "kernel_id": "36284"}, {"ref": "budounomizu/notebook-2165e4eef7c2345914de", "kernel_id": "26845"}, {"ref": "tomrod/categoricals-categoricals-everywhere", "kernel_id": "30945"}, {"ref": "tomrod/notebook-6bd7e3112c8c17abc956", "kernel_id": "30946"}, {"ref": "tmjiang/notebook-ebcf1a26c42a8f244f95", "kernel_id": "33735"}, {"ref": "tmjiang/stats", "kernel_id": "32953"}, {"ref": "light94/notebook-689f3e5323a264630d19", "kernel_id": "36313"}, {"ref": "micahwayne/notebook-b2747c0b49e8f01ba554", "kernel_id": "33245"}, {"ref": "magdalenar/xgb-stop", "kernel_id": "32834"}, {"ref": "akshaykurmi/rfhyperparam1", "kernel_id": "26840"}, {"ref": "akshaykurmi/rfgridsearch", "kernel_id": "26825"}, {"ref": "stepobr/digging-deeper-and-deeper", "kernel_id": "30927"}, {"ref": "maulwurf1/xgb-stop-feature-importance", "kernel_id": "32306"}, {"ref": "maulwurf1/notebook-d33a67691951914808ba", "kernel_id": "32569"}, {"ref": "fabrizioff/notebook-d1bb73578c8dd364f8a7", "kernel_id": "35301"}, {"ref": "wnikhil/notebook-0cdf2d7bbd8a303821c0", "kernel_id": "37695"}, {"ref": "wnikhil/test-note", "kernel_id": "37697"}, {"ref": "wnikhil/notebook-beeb12af690ef64aadbf", "kernel_id": "37698"}, {"ref": "lifepreserver/notebook-6cd9b2c9d58372b3e883", "kernel_id": "25055"}, {"ref": "lifepreserver/notebook-1e2e7828873fae0929b5", "kernel_id": "25105"}, {"ref": "lifepreserver/notebook-0a3edb47cfc7ffc737b8", "kernel_id": "26599"}, {"ref": "mdasadul/homesite", "kernel_id": "30908"}, {"ref": "mdasadul/home-site", "kernel_id": "30910"}, {"ref": "jop5oup/testt", "kernel_id": "36504"}, {"ref": "dipayan/all-a-home-need-is-some-xgbooster", "kernel_id": "31457"}, {"ref": "dipayan/no-date-nan-treatments", "kernel_id": "31767"}, {"ref": "tunguz/xgboost-benchmark", "kernel_id": "23712"}, {"ref": "tunguz/notebook-d9516d2b3cd588a792dd", "kernel_id": "23780"}, {"ref": "tunguz/xgboost-benchmark-1", "kernel_id": "23799"}, {"ref": "tunguz/xgb-stop", "kernel_id": "35764"}, {"ref": "psismanis/homesite-an-approach-with-python", "kernel_id": "32026"}, {"ref": "windsorwho/homesite", "kernel_id": "30515"}, {"ref": "canglingye/notebook-46e23d551b3160bed87c", "kernel_id": "32591"}, {"ref": "lskreikes/notebook-b6c2c2b9645dcf0cb889", "kernel_id": "35053"}, {"ref": "pararols/xgboost-benchmark", "kernel_id": "26228"}, {"ref": "pararols/xgboost-starter-script-in-r", "kernel_id": "26232"}, {"ref": "pararols/xgb-stop", "kernel_id": "29759"}, {"ref": "michaelfan/trytry", "kernel_id": "37644"}, {"ref": "rajdeepsaha/notebook-8ccae4f06a937237d733", "kernel_id": "31431"}, {"ref": "rajdeepsaha/all-a-home-need-is-some-xgbooster", "kernel_id": "31432"}, {"ref": "rajdeepsaha/all-ur-home-need-is-some-xgbooster", "kernel_id": "31646"}, {"ref": "rajdeepsaha/added-weekday", "kernel_id": "31634"}, {"ref": "chrismarvin/test1", "kernel_id": "26976"}, {"ref": "ocmpoyxux/notebook-da2a5a6c1ed62fb1e149", "kernel_id": "33442"}, {"ref": "krinapajwani/notebook-7ccf5aa90d025beb21e8", "kernel_id": "59081"}, {"ref": "sauravk/exploring", "kernel_id": "29728"}, {"ref": "anantb/testabc", "kernel_id": "24178"}, {"ref": "anantb/testplay", "kernel_id": "24179"}, {"ref": "huzech/xgbok", "kernel_id": "30707"}, {"ref": "shivong27/notebook-9d186cdcd4de36944636", "kernel_id": "32602"}, {"ref": "cacal39/notebook-6b513f2b37e476c44481", "kernel_id": "33615"}, {"ref": "cacal39/notebook-3096ae11477fb6808214", "kernel_id": "33625"}, {"ref": "yar0vik/notebook-641e9173f8dc00b13453", "kernel_id": "30662"}, {"ref": "yar0vik/notebook-baac56c48a63ed026889", "kernel_id": "30649"}, {"ref": "yar0vik/notebook-f353e808b44b23d05400", "kernel_id": "30637"}, {"ref": "yar0vik/my-first-rf", "kernel_id": "30638"}, {"ref": "yar0vik/notebook-353b2ccbad1374efc222", "kernel_id": "31118"}, {"ref": "yar0vik/notebook-7fbea1bc74324851f252", "kernel_id": "30815"}, {"ref": "yar0vik/notebook-c27e101b3d2ea73d15e9", "kernel_id": "30829"}, {"ref": "yar0vik/notebook-b6082903a5fa7f4b5e63", "kernel_id": "30823"}, {"ref": "yar0vik/notebook-210c1dc1d8fa6f569a2c", "kernel_id": "30824"}, {"ref": "yar0vik/notebook-9a28aeaad02f1869e862", "kernel_id": "30825"}, {"ref": "yar0vik/notebook-db11cda3be15339b53f5", "kernel_id": "30812"}, {"ref": "yar0vik/notebook-be7868e8972d1e622d39", "kernel_id": "30954"}, {"ref": "yar0vik/notebook-017a55cfee83835beb71", "kernel_id": "30862"}, {"ref": "yar0vik/my-first-kaggl1", "kernel_id": "34733"}, {"ref": "yar0vik/notebook-a4c031c7dae58839345c", "kernel_id": "31250"}, {"ref": "yar0vik/notebook-8965208cf74e7bc9e0c7", "kernel_id": "31239"}, {"ref": "yar0vik/notebook-0dd19c535a43053ecf13", "kernel_id": "31240"}, {"ref": "yar0vik/notebook-76d2285c76f8093efabb", "kernel_id": "31241"}, {"ref": "yar0vik/notebook-82b828184edb039cb80d", "kernel_id": "31242"}, {"ref": "yar0vik/my-first-kaggl2", "kernel_id": "35130"}, {"ref": "dongjie/notebook-75c6d175931526eb3e52", "kernel_id": "24078"}, {"ref": "brandonw20/notebook-2c8512c2705a9f646412", "kernel_id": "25443"}, {"ref": "brandonw20/notebook-2ca98bf261cd6bafafbb", "kernel_id": "25444"}, {"ref": "brandonw20/notebook-71e057392d965781e935", "kernel_id": "25436"}, {"ref": "nopenopenope/notebook-e954ecf1ca204465dae5", "kernel_id": "36391"}, {"ref": "mordoobadi/notebook-e49dc2cd57a55c6d9511", "kernel_id": "37640"}, {"ref": "muthu1086/notebook-837fc1833a885ca18e08", "kernel_id": "30533"}, {"ref": "muthu1086/notebook-c564c58f6615d657bab7", "kernel_id": "30978"}, {"ref": "muthu1086/notebook-a73a7b38029e2e28c44b", "kernel_id": "30984"}, {"ref": "klubow/notebook-294b0b9a01cb09e07705", "kernel_id": "23753"}, {"ref": "omarelgabry/homesite-customer-predictions", "kernel_id": "24052"}, {"ref": "omarelgabry/notebook-159d207d90659525361d", "kernel_id": "24054"}, {"ref": "omarelgabry/notebook-a1cba80b84311bb278b0", "kernel_id": "24055"}, {"ref": "omarelgabry/notebook-54e3fdc17f0659e4ef4a", "kernel_id": "24057"}, {"ref": "omarelgabry/notebook-b58a2f0f86d1535af7cf", "kernel_id": "24058"}, {"ref": "omarelgabry/notebook-c2a4cf28d220bfb98f02", "kernel_id": "24153"}, {"ref": "omarelgabry/notebook-dd1e84a3aae33529bac4", "kernel_id": "24156"}, {"ref": "learningml0207/example", "kernel_id": "32735"}, {"ref": "reneboy/sample-script-to-beat-the-benchmark", "kernel_id": "32875"}, {"ref": "vivek8943/mydemotraining", "kernel_id": "28928"}, {"ref": "morglum/notebook-d8618bac86037d0dab44", "kernel_id": "32082"}, {"ref": "thomasburr/testsd", "kernel_id": "28880"}, {"ref": "thomasburr/notebook-4ce936c838d98f2e41d0", "kernel_id": "28881"}, {"ref": "vladgolubev/example-using-random-forest", "kernel_id": "27323"}, {"ref": "alex126/digging-deeper-and-deeper", "kernel_id": "27237"}, {"ref": "olegvoloshko/notebook-ecca2d92c8f813b2482f", "kernel_id": "33432"}, {"ref": "cimadure/homesite-customer-predictions", "kernel_id": "26473"}, {"ref": "vitaliyradchenko/error", "kernel_id": "36187"}, {"ref": "kilimondjaro/notebook-4486a920f2b785884e18", "kernel_id": "25750"}, {"ref": "kilimondjaro/notebook-73ef236a1bb34cae5506", "kernel_id": "25745"}, {"ref": "kilimondjaro/newfile", "kernel_id": "25746"}, {"ref": "kilimondjaro/notebook-d10f31ffe07db646a4af", "kernel_id": "25748"}, {"ref": "albedan/installed-packages", "kernel_id": "33252"}, {"ref": "albedan/notebook-fa09488aa055faac982a", "kernel_id": "33253"}, {"ref": "yiyiwang/notebook-7cbe304aacadaf8910f1", "kernel_id": "23826"}, {"ref": "yiyiwang/test-scrpit", "kernel_id": "23827"}, {"ref": "benjoyenconseil/scrip1", "kernel_id": "23745"}, {"ref": "fneubert/notebook-484558e6a74ba1339528", "kernel_id": "23874"}, {"ref": "fneubert/testing", "kernel_id": "23875"}, {"ref": "konyavic/initial-test", "kernel_id": "25120"}, {"ref": "daddysprincess/notebook-62996144de87116a73c7", "kernel_id": "24020"}, {"ref": "brianconnorflynn/notebook-ec47d84ada174495c1bc", "kernel_id": "29041"}, {"ref": "brianconnorflynn/notebook-f02445718c75bd718862", "kernel_id": "28929"}, {"ref": "brianconnorflynn/notebook-e645018fb903a2e8e21a", "kernel_id": "28917"}, {"ref": "brianconnorflynn/notebook-02247972efdd1395ba34", "kernel_id": "28918"}, {"ref": "brianconnorflynn/homesite2", "kernel_id": "28919"}, {"ref": "achyutreddy/testing", "kernel_id": "25169"}, {"ref": "tastyshoba/notebook-782e121beb41aa06f2fd", "kernel_id": "34048"}, {"ref": "victorkleb/notebook-65fe1cb093f24964d9c6", "kernel_id": "24920"}, {"ref": "victorkleb/notebook-89b2e776d61f879cd134", "kernel_id": "24546"}, {"ref": "nirmalkolhe/nk-r-homesite", "kernel_id": "31244"}, {"ref": "gastonlagaffe/notebook-a27266be0788c00f9746", "kernel_id": "24530"}, {"ref": "dfinlen/homesite", "kernel_id": "25221"}, {"ref": "dfinlen/homesite-customer-predictions", "kernel_id": "28720"}, {"ref": "gcampbell/notebook-f4cf284c2f40d0f9951e", "kernel_id": "24975"}, {"ref": "gcampbell/svm-for-subset-of-fields", "kernel_id": "25172"}, {"ref": "gcampbell/conversion-prediction", "kernel_id": "25104"}, {"ref": "tannima93/notebook-997de1ac604c5ca71196", "kernel_id": "27934"}, {"ref": "tannima93/random", "kernel_id": "30341"}, {"ref": "tannima93/just-test", "kernel_id": "29766"}, {"ref": "olhalis/trynotebook", "kernel_id": "24638"}, {"ref": "olhalis/notebook-a304ad3ac30e20399fcf", "kernel_id": "24639"}, {"ref": "aks123/notebook-24a05eed31c90f6edb0a", "kernel_id": "30764"}, {"ref": "aks123/keras-around-0-9633", "kernel_id": "33007"}, {"ref": "aks123/my-first-rf", "kernel_id": "32391"}, {"ref": "aks123/xgb-v4", "kernel_id": "32304"}, {"ref": "aks123/stats", "kernel_id": "35547"}, {"ref": "chrislauinger/notebook-ae2fe7c55d78584af6b5", "kernel_id": "24906"}, {"ref": "chrislauinger/lr-benchmark", "kernel_id": "24907"}, {"ref": "chrislauinger/notebook-53119220a736d9bd65ac", "kernel_id": "24908"}, {"ref": "chrislauinger/notebook-fb4fff4e64b9e58404df", "kernel_id": "24918"}, {"ref": "kbolaris/notebook-67e97d2bd55ccd3c2d34", "kernel_id": "26012"}, {"ref": "kbolaris/notebook-107611271b2dedd79cab", "kernel_id": "26013"}, {"ref": "kbolaris/notebook-3182e046aba26b22cc0c", "kernel_id": "26014"}, {"ref": "kbolaris/notebook-c90a0537cd3bff2a8d8f", "kernel_id": "26015"}, {"ref": "theiya/notebook-6057f9600aa7324af35e", "kernel_id": "25149"}, {"ref": "theiya/improve-lr", "kernel_id": "28071"}, {"ref": "theiya/improved-rf", "kernel_id": "28253"}, {"ref": "theiya/notebook-30a987d191a8db3298b8", "kernel_id": "29710"}, {"ref": "theiya/votingccript", "kernel_id": "29852"}, {"ref": "theiya/notebook-5dd36f963a8b24ce8af3", "kernel_id": "29840"}, {"ref": "theiya/notebook-5d98a6ff5fd01454ffa3", "kernel_id": "29831"}, {"ref": "theiya/voting-rf", "kernel_id": "29843"}, {"ref": "theiya/fease-rf2", "kernel_id": "30519"}, {"ref": "theiya/fease-rf", "kernel_id": "30403"}, {"ref": "theiya/fease2", "kernel_id": "30383"}, {"ref": "spanklekar/xgb-stop", "kernel_id": "35482"}, {"ref": "alaaeddinalchalabi/homesite-customer-predictions", "kernel_id": "29493"}, {"ref": "bberger94/homesite", "kernel_id": "25305"}, {"ref": "swbuck/notebook-2d8f4e57cd5d91193581", "kernel_id": "25346"}, {"ref": "nassimus/notebook-e7cf7d347b0172de7f2f", "kernel_id": "35175"}, {"ref": "nassimus/notebook-f0c1ddb8eeca4b2c8471", "kernel_id": "35046"}, {"ref": "nassimus/keras-around-0-9633", "kernel_id": "33910"}, {"ref": "nassimus/xgb-stop", "kernel_id": "33921"}, {"ref": "wennshm/notebook-c814de50256590079d7f", "kernel_id": "25900"}, {"ref": "wennshm/hehehe", "kernel_id": "25901"}, {"ref": "wennshm/notebook-ea1e68a44ca7e5896aa8", "kernel_id": "25902"}, {"ref": "florentmasson/sessioninfo", "kernel_id": "34663"}, {"ref": "mcafee/homesitescript", "kernel_id": "35073"}, {"ref": "haleys/test1", "kernel_id": "25606"}, {"ref": "wolfmessing/first-test-to-go-down-in-history", "kernel_id": "25754"}, {"ref": "dsj529/quotepredictor", "kernel_id": "27664"}, {"ref": "dsj529/quotepredictor2", "kernel_id": "31337"}, {"ref": "kingski/tester", "kernel_id": "26670"}, {"ref": "pierre05/notebook-f19809703b821121e6f1", "kernel_id": "30426"}, {"ref": "sudipta2015/abcde", "kernel_id": "26877"}, {"ref": "sudipta2015/test1", "kernel_id": "26878"}, {"ref": "sudipta2015/trial-script", "kernel_id": "26875"}, {"ref": "sudipta2015/aabbc", "kernel_id": "27302"}, {"ref": "gkc123/testing", "kernel_id": "27069"}, {"ref": "hiromifujita/notebook-4a1ba5bef063e7ae60fc", "kernel_id": "28778"}, {"ref": "ldw4678/notebook-f335ef855146ea3c1799", "kernel_id": "29005"}, {"ref": "ldw4678/improve-lr", "kernel_id": "28983"}, {"ref": "ldw4678/notebook-eb26e6d9b03e5043b153", "kernel_id": "28984"}, {"ref": "ldw4678/notebook-20eeec62c455fba6a898", "kernel_id": "28986"}, {"ref": "ldw4678/notebook-b42b48b688fc4dcdc082", "kernel_id": "28987"}, {"ref": "ldw4678/notebook-960b53ad9d3e50b3847d", "kernel_id": "28988"}, {"ref": "ldw4678/notebook-4a4f612e5d5f8d5acfcf", "kernel_id": "28989"}, {"ref": "ldw4678/preprocessing", "kernel_id": "28990"}, {"ref": "ldw4678/notebook-6c9fd49f1ef18d71c52a", "kernel_id": "29830"}, {"ref": "ldw4678/notebook-2762070d45f90c597460", "kernel_id": "29826"}, {"ref": "ldw4678/notebook-31d91ba10240627b682d", "kernel_id": "29817"}, {"ref": "ldw4678/notebook-8e010846ccc1ccabe251", "kernel_id": "29837"}, {"ref": "ldw4678/notebook-1b09718033fdf5fc96df", "kernel_id": "29833"}, {"ref": "ldw4678/preproceing-py", "kernel_id": "29834"}, {"ref": "ldw4678/notebook-82de61b0aaee95c345b2", "kernel_id": "29849"}, {"ref": "ldw4678/notebook-a9e8aae63021f11a3924", "kernel_id": "29850"}, {"ref": "ldw4678/notebook-5ae59c3084f84d665b7f", "kernel_id": "29851"}, {"ref": "yew1eb/homesite-customer-predictions", "kernel_id": "34278"}, {"ref": "jezifm/notebook-9f2aecba5dfcc6d7e7ad", "kernel_id": "36000"}, {"ref": "jezifm/notebook-a39f8e48e7085dc4ba2e", "kernel_id": "36002"}, {"ref": "jezifm/notebook-fcb867073666c0f9793a", "kernel_id": "36027"}, {"ref": "srinivasareddyr/srini", "kernel_id": "36684"}, {"ref": "yiandeng/notebook-af8b3705c7978d216b9c", "kernel_id": "30821"}, {"ref": "zbyongdata/notebook-9a87335f1aa7985ac311", "kernel_id": "31199"}, {"ref": "zbyongdata/notebook-532303361b6f22266e34", "kernel_id": "31201"}, {"ref": "zbyongdata/notebook-e4cef1614738802caf83", "kernel_id": "31202"}, {"ref": "zbyongdata/notebook-37e25b230c13c18b3f51", "kernel_id": "31209"}, {"ref": "zbyongdata/notebook-14e3ffd28cb58bfd9e1a", "kernel_id": "31210"}, {"ref": "zbyongdata/notebook-77df5f89338a8a774c39", "kernel_id": "31211"}, {"ref": "zbyongdata/notebook-43409b95c9b59fd91cad", "kernel_id": "31212"}, {"ref": "zbyongdata/notebook-07330bdb2f05dd53d43f", "kernel_id": "31216"}, {"ref": "zbyongdata/train", "kernel_id": "31217"}, {"ref": "zbyongdata/traina", "kernel_id": "31218"}, {"ref": "antoinemercier/notebook-77d452e473340f8f69be", "kernel_id": "35710"}, {"ref": "antoinemercier/notebook-a75065c733fbe3f9a050", "kernel_id": "35711"}, {"ref": "sentientmachine/notebook-c4a78c4aa7ffb112cd50", "kernel_id": "29137"}, {"ref": "aviatorx/xgb-stop", "kernel_id": "32754"}, {"ref": "aviatorx/xgboost-with-gridsearchcv", "kernel_id": "35049"}, {"ref": "yassinelanda/notebook-1fb82eb250ae90e1a4ee", "kernel_id": "29534"}, {"ref": "pdcmarques/teste", "kernel_id": "29405"}, {"ref": "gupibagha/notebook-effe0c0227d5b9098a31", "kernel_id": "36190"}, {"ref": "snaggletooth/xgboost-trial", "kernel_id": "30161"}, {"ref": "importsoul/notebook-59d519082ab437dcfab0", "kernel_id": "30063"}, {"ref": "importsoul/notebook-615a486c0f4622b47e9d", "kernel_id": "30064"}, {"ref": "rak001/cluster-similarity", "kernel_id": "30164"}, {"ref": "rak001/digging-deeper-and-deeper", "kernel_id": "30165"}, {"ref": "rak001/trial1", "kernel_id": "30166"}, {"ref": "tomhortons/notebook-6f65f46b90aecd36df85", "kernel_id": "31186"}, {"ref": "tomhortons/xgboosthomesite-test", "kernel_id": "31187"}, {"ref": "tomhortons/xgboosthomesitetest", "kernel_id": "31194"}, {"ref": "tomhortons/xgboosthomesitetest2", "kernel_id": "31195"}, {"ref": "tomhortons/notebook-faf2ce1814a26e85ec92", "kernel_id": "31191"}, {"ref": "tomhortons/xgboosttest", "kernel_id": "31171"}, {"ref": "tomhortons/traintest", "kernel_id": "31174"}, {"ref": "tomhortons/notebook-7d873dc944ab4bdbce22", "kernel_id": "31761"}, {"ref": "tomhortons/aaaaaaaaaaaaa", "kernel_id": "31233"}, {"ref": "tomhortons/homesite-customer-predictions", "kernel_id": "31238"}, {"ref": "tomhortons/xgboosttesthomesite", "kernel_id": "31222"}, {"ref": "tomhortons/notebook-cc35177c3bc9047c8544", "kernel_id": "31225"}, {"ref": "zurehman/homesite-customer-predictions", "kernel_id": "31152"}, {"ref": "zurehman/notebook-ac30a03eb7c5e1c3a381", "kernel_id": "37307"}, {"ref": "xakzpc/notebook-dd22d2944389d3d7e35a", "kernel_id": "33871"}, {"ref": "harshdeepgupta/notebook-955246f28611a87f11a0", "kernel_id": "31128"}, {"ref": "leechangho/notebook-06fe5576c2f7eb81e759", "kernel_id": "36181"}, {"ref": "leechangho/notebook-092ee5005824decd0fe8", "kernel_id": "36155"}, {"ref": "leechangho/testa", "kernel_id": "36156"}, {"ref": "leechangho/notebook-444a4ff096cc768c0037", "kernel_id": "36157"}, {"ref": "leechangho/mytesta", "kernel_id": "36158"}, {"ref": "leechangho/abcddef", "kernel_id": "36159"}, {"ref": "leechangho/notebook-19d090fd0aa8cf16389e", "kernel_id": "36160"}, {"ref": "leechangho/notebook-73ef241f20859007ef60", "kernel_id": "35988"}, {"ref": "jamesnichols/notebook-bed27746d36f1e32b294", "kernel_id": "36840"}, {"ref": "jamesnichols/notebook-4c406a7a10463ed42365", "kernel_id": "36841"}, {"ref": "umeshrege/notebook-0ae2b22f9be60d8e56c0", "kernel_id": "33372"}, {"ref": "narsil/xgb-stop-narsil", "kernel_id": "32937"}, {"ref": "narsil/xgb-stop-nars", "kernel_id": "32748"}, {"ref": "gopigrip7/notebook-2be3d814c72f1bdeda1c", "kernel_id": "32945"}, {"ref": "vijaybabu/quotepredictor2", "kernel_id": "32159"}, {"ref": "vijaybabu/notebook-5c58520537729454b375", "kernel_id": "33498"}, {"ref": "masterliu/notebook-9e772057fb48f6e08aea", "kernel_id": "35467"}, {"ref": "masterliu/notebook-000e710f03ee67b73846", "kernel_id": "35468"}, {"ref": "masterliu/notebook-ea4d1f116102ded21307", "kernel_id": "35306"}, {"ref": "masterliu/notebook-cdabf3172641dcb294b1", "kernel_id": "35307"}, {"ref": "masterliu/notebook-652ae9ab84946bb255b4", "kernel_id": "35308"}, {"ref": "masterliu/notebook-35d04a9ff78a36280977", "kernel_id": "35144"}, {"ref": "minqixie/first-1231", "kernel_id": "31713"}, {"ref": "elenswan/xgb-stop", "kernel_id": "32586"}, {"ref": "nschoepper/notebook-fd3014b01b9f879d4b16", "kernel_id": "32118"}, {"ref": "nschoepper/notebook-334edb40813e7bbc97b3", "kernel_id": "32109"}, {"ref": "nschoepper/notebook-a937c2cce60c804135e2", "kernel_id": "32115"}, {"ref": "nschoepper/homesite-customer-predictions", "kernel_id": "32087"}, {"ref": "nschoepper/notebook-cb6094b43c214d74a735", "kernel_id": "32917"}, {"ref": "soniatul83/notebook-4d4a8be326af632a6137", "kernel_id": "33161"}, {"ref": "soniatul83/notebook-5dbe01fa2b70fea47167", "kernel_id": "33184"}, {"ref": "ha21wt/notebook-f862b1aca5a7f0ad77be", "kernel_id": "32332"}, {"ref": "a553649508/homesite-customer-predictions", "kernel_id": "35297"}, {"ref": "justingrosz99/notebook-0c72982e76619c6eee84", "kernel_id": "33203"}, {"ref": "bioman82/notebook-0ff344b5f128c44e18c4", "kernel_id": "38457"}, {"ref": "andreygr/xgb-stop", "kernel_id": "36357"}, {"ref": "andreygr/xgb-stop-full", "kernel_id": "37236"}, {"ref": "limeng/homesite-customer-predictions", "kernel_id": "33373"}, {"ref": "ticheek/ttttttt222", "kernel_id": "89269"}, {"ref": "juliano/notebook-14030170d7c34c80e089", "kernel_id": "34279"}, {"ref": "enimsa08/notebook-b3e8789f5b1eb464345a", "kernel_id": "35198"}, {"ref": "dilin820/testhomesite", "kernel_id": "33522"}, {"ref": "pang123/hi123", "kernel_id": "33759"}, {"ref": "director/xgb-stop", "kernel_id": "36265"}, {"ref": "director/xgb-0-9674", "kernel_id": "36384"}, {"ref": "kyle7day/notebook-4383025ab8d6df05cbf3", "kernel_id": "33992"}, {"ref": "brindlebrew/python-test", "kernel_id": "34982"}, {"ref": "abhijitsingh/test1sc", "kernel_id": "36680"}, {"ref": "belkovmvtu/notebook-1bf164e80eac720de059", "kernel_id": "36077"}, {"ref": "belkovmvtu/notebook-4c04d5c0033e9b4881cd", "kernel_id": "36078"}, {"ref": "anndro/keras-around-0-9633", "kernel_id": "36076"}, {"ref": "gtrimarc/test-homesite", "kernel_id": "197099"}, {"ref": "jihyeseo/homesite-conversion-eda-fill-missing-values", "kernel_id": "956586"}, {"ref": "xiaoliangsu/notebook-75895107f981d8d87056", "kernel_id": "47070"}, {"ref": "xiaoliangsu/keras-test111", "kernel_id": "57967"}, {"ref": "xiaoliangsu/notebook-a9a9c3e35eab0b08a37d", "kernel_id": "57969"}, {"ref": "xiaoliangsu/notebook-7d88fb20a2b2ef4f7da6", "kernel_id": "59967"}, {"ref": "xiaoliangsu/notebook-0908377d1b5bf9f7fc06", "kernel_id": "59968"}, {"ref": "prabhubct2/pima-indians-diabetes-database-pg", "kernel_id": "103745"}, {"ref": "charlesbauer/teste", "kernel_id": "62501"}, {"ref": "benedict1986/ben-urats", "kernel_id": "63676"}, {"ref": "hirokiii/notebook8c5e4d1ade", "kernel_id": "230210"}, {"ref": "taipan/xgboost-and-h2o-grid-search-parameters", "kernel_id": "128844"}, {"ref": "nicholerigby/notebook09989762bc", "kernel_id": "107309"}, {"ref": "nlanaro/test1no", "kernel_id": "96044"}, {"ref": "nlanaro/notebook95387ab554", "kernel_id": "96046"}, {"ref": "rsa0123/testing-11-27-16", "kernel_id": "123583"}, {"ref": "rsa0123/grid-search", "kernel_id": "131993"}, {"ref": "rsa0123/xgb-feature-selection", "kernel_id": "132809"}, {"ref": "rsa0123/xgb-feature-eng3", "kernel_id": "132814"}, {"ref": "rsa0123/code1", "kernel_id": "129779"}, {"ref": "gologer28/notebookdb4bd062dd", "kernel_id": "116591"}, {"ref": "mballa/notebooke03ee156c3", "kernel_id": "178225"}, {"ref": "leonardkong/sklearn-inaction", "kernel_id": "240330"}, {"ref": "sparklin/xgboost-with-gridsearchcv", "kernel_id": "257944"}, {"ref": "liurui39660/notebook8a358662b3", "kernel_id": "247511"}, {"ref": "aihelp/xgboost-with-gridsearchcv", "kernel_id": "267448"}, {"ref": "vinzzhang/xgboost-on-homesite-quote-conversion", "kernel_id": "728260"}, {"ref": "kpaul2008/logisticregression", "kernel_id": "1381417"}, {"ref": "tabayu/homesite-quote-conversion", "kernel_id": "4406293"}, {"ref": "lucca9211/categorical-feature-encoding-ii-xgboost", "kernel_id": "8112570"}, {"ref": "zuari1993/beginners-ml-model-using-basic-random-forest", "kernel_id": "10244216"}, {"ref": "zuari1993/intermediate-ml-model-simple-xgboost", "kernel_id": "10256229"}, {"ref": "ajay2409/xgb-boost-homesite-quote", "kernel_id": "10720997"}, {"ref": "guidosalimbeni/predicting-engagement-conversion-main-drivers", "kernel_id": "13948190"}, {"ref": "sumeetsawant/homesite-conversion", "kernel_id": "16230150"}, {"ref": "sumeetsawant/insurance-quote-xgboost-and-pipeline-auc-0-9627", "kernel_id": "16594714"}, {"ref": "reetasharma/home-insurance-preprocessing-and-lgb-model-rfc", "kernel_id": "20450298"}]}
{"competition_id": "4676", "kernels": []}
{"competition_id": "4699", "kernels": [{"ref": "wahalulu/notebook-c36893b2ae8e0b6ebf2a", "kernel_id": "28540"}, {"ref": "wahalulu/notebook-449172340857f43fcbb4", "kernel_id": "28537"}, {"ref": "alexxanderlarko/xgboost2411", "kernel_id": "25491"}, {"ref": "alexxanderlarko/xgb2511", "kernel_id": "25656"}, {"ref": "alexxanderlarko/xgb2811", "kernel_id": "26371"}, {"ref": "alexxanderlarko/xgb-1501", "kernel_id": "33466"}, {"ref": "alexxanderlarko/xgb-offset0401-01", "kernel_id": "32042"}, {"ref": "alexxanderlarko/xgb-offset-0401-02", "kernel_id": "32050"}, {"ref": "alexxanderlarko/xgb-offset0501", "kernel_id": "32166"}, {"ref": "alexxanderlarko/xgb-offset0501-01", "kernel_id": "32171"}, {"ref": "alexxanderlarko/xgb-offset-0501-02", "kernel_id": "32185"}, {"ref": "alexxanderlarko/xgb-offset0501-03", "kernel_id": "32234"}, {"ref": "alexxanderlarko/xgb-offset0801", "kernel_id": "32595"}, {"ref": "alexxanderlarko/xgb-offset0801-01", "kernel_id": "32600"}, {"ref": "alexxanderlarko/xgb-offset0801-02", "kernel_id": "32646"}, {"ref": "alexxanderlarko/xgb-offset1101", "kernel_id": "32976"}, {"ref": "alexxanderlarko/xgb-offset1101-01", "kernel_id": "32982"}, {"ref": "benhamner/xgboost-example-1", "kernel_id": "25393"}, {"ref": "benhamner/list-input-files-3", "kernel_id": "25086"}, {"ref": "tkwijaya/tttt12345", "kernel_id": "31149"}, {"ref": "chefele/notebook-9fa6fafec916979a4e28", "kernel_id": "25726"}, {"ref": "khanh94/first-processing-script", "kernel_id": "25458"}, {"ref": "khanh94/notebook-b2a34098a8f92e5765bc", "kernel_id": "36031"}, {"ref": "khanh94/notebook-7904527e3fa2b6d4bf47", "kernel_id": "36040"}, {"ref": "khanh94/prudential-insurance-risk-predictions", "kernel_id": "31355"}, {"ref": "domcastro/tttt12345", "kernel_id": "29432"}, {"ref": "domcastro/bbbbb-2", "kernel_id": "30201"}, {"ref": "atulkum/notebook-70cf2cc5850663d8c8aa", "kernel_id": "38444"}, {"ref": "statwonk/notebook-f7e93192404d8fdc798f", "kernel_id": "26891"}, {"ref": "statwonk/python", "kernel_id": "26799"}, {"ref": "statwonk/christopher-s-r-notebook", "kernel_id": "26800"}, {"ref": "statwonk/notebook-caaf7828f39a1226abdd", "kernel_id": "26887"}, {"ref": "drazen/notebook-69d0068c6889683cdd62", "kernel_id": "37666"}, {"ref": "drazen/notebook-bdb1c2752cd4d42411a9", "kernel_id": "37667"}, {"ref": "igorgenrikhov/tttttt", "kernel_id": "37997"}, {"ref": "bazinga/test01", "kernel_id": "29009"}, {"ref": "rajapasupuleti/testnotebook", "kernel_id": "25766"}, {"ref": "ermirq/notebook-f64a00e070a76e16f33d", "kernel_id": "26021"}, {"ref": "gedankenexperiment/notebook-541744825e704041ed46", "kernel_id": "34118"}, {"ref": "gedankenexperiment/notebook-a8606889998f81ab369a", "kernel_id": "33933"}, {"ref": "gedankenexperiment/notebook-b699c1f974bb71228279", "kernel_id": "33934"}, {"ref": "gedankenexperiment/try-try-again", "kernel_id": "33986"}, {"ref": "inspector/keras-hyperopt-example-sketch", "kernel_id": "32843"}, {"ref": "unmesh/prudentlearning", "kernel_id": "33959"}, {"ref": "sergeititov/script", "kernel_id": "25887"}, {"ref": "sergeititov/notebook-c0747e371215b3a0c264", "kernel_id": "25889"}, {"ref": "karthikeya/test123", "kernel_id": "29981"}, {"ref": "johnjoo/notebook-cb1e445b0bf564113e28", "kernel_id": "38395"}, {"ref": "leadbest/notebook-99984925f716cc70a4ab", "kernel_id": "38920"}, {"ref": "gsubramanian/randomforest", "kernel_id": "29719"}, {"ref": "sureshshanmugam/script-workbook", "kernel_id": "35122"}, {"ref": "ashepmachinelearning/notebook-16b9dc8d315280bd8f71", "kernel_id": "28195"}, {"ref": "jrobischon/notebook-f6f5397882e8654d4bcf", "kernel_id": "33034"}, {"ref": "pg7799/notebook-b1d055d94d7f18711a8d", "kernel_id": "26069"}, {"ref": "praveendepa/notebook-73e09dd2e1aabb243b4f", "kernel_id": "28039"}, {"ref": "mahendran/prudential001", "kernel_id": "66493"}, {"ref": "davidsvaughn/xgb-warp", "kernel_id": "37162"}, {"ref": "jofaichow/notebook-5f057090179d3eeb7111", "kernel_id": "29742"}, {"ref": "datacanary/r-template-script-1", "kernel_id": "25289"}, {"ref": "datacanary/python-template-script-1", "kernel_id": "25290"}, {"ref": "qwang88/prudential-seed-233", "kernel_id": "35902"}, {"ref": "qwang88/testtest2", "kernel_id": "35936"}, {"ref": "scienceboy06/notebook-248d1bd0109c71beb14a", "kernel_id": "32440"}, {"ref": "amanbirs/notebook-97a02a852050186db1bd", "kernel_id": "37983"}, {"ref": "valueq/notebook-c127d44d112dd1a1b169", "kernel_id": "29635"}, {"ref": "asaini/notebook-81be19ad5c7ec53fb18f", "kernel_id": "31518"}, {"ref": "satomacoto/notebook-e2dfe0cda4a5bbde4150", "kernel_id": "35827"}, {"ref": "satomacoto/notebook-aa838b17972d839b3a45", "kernel_id": "35814"}, {"ref": "satomacoto/notebook-2e64ed1a151757ac70ef", "kernel_id": "35821"}, {"ref": "ryo3ryosuu/test01-1", "kernel_id": "28432"}, {"ref": "flashnik/xgb-test", "kernel_id": "36910"}, {"ref": "luciferase/xgb-basic", "kernel_id": "38488"}, {"ref": "takaki/xgb-test-fork", "kernel_id": "38668"}, {"ref": "dashiell13/notebook-67cd12709a6fa3acc6db", "kernel_id": "28081"}, {"ref": "martial/notebook-e21e1578e6ba962111c5", "kernel_id": "28252"}, {"ref": "hamelhusain/tttt12345", "kernel_id": "28813"}, {"ref": "hamelhusain/notebook-53b72a177f56b157b3b0", "kernel_id": "28818"}, {"ref": "hamelhusain/notebook-d33b430400bcad56468e", "kernel_id": "28819"}, {"ref": "veeresht/notebook-67bec9ded62b3d90de92", "kernel_id": "28419"}, {"ref": "plddotio/my-first-test", "kernel_id": "36527"}, {"ref": "nagidexter/tttt12345", "kernel_id": "28528"}, {"ref": "tavish/xgboost-example-0-62656-lb-score", "kernel_id": "29235"}, {"ref": "tavish/basic-random-forest", "kernel_id": "29481"}, {"ref": "wxjennifer/notebook-62950a0cf3d223d2e77f", "kernel_id": "30553"}, {"ref": "wxjennifer/notebook-791bf2ded2d7de4703a3", "kernel_id": "30554"}, {"ref": "nagarjunakumar/notebook-fbd3f4636234de6aa27e", "kernel_id": "36917"}, {"ref": "kumareshd/xgboost-example-0-61171", "kernel_id": "25463"}, {"ref": "casalicchio/use-the-mlr-package-scores-0-649", "kernel_id": "30643"}, {"ref": "enbyly/xgb-offset-0501-02", "kernel_id": "32309"}, {"ref": "arjunpjhalda/xgboost-example", "kernel_id": "30580"}, {"ref": "nikoulis/notebook-f870537dbf9e8151d528", "kernel_id": "28978"}, {"ref": "itsintheletterbox/notebook-0fc8cba08500e1052c75", "kernel_id": "27102"}, {"ref": "gustavodemari/prudential-life-insurance-classification", "kernel_id": "29903"}, {"ref": "gustavodemari/notebook-3e233421c2817feae029", "kernel_id": "30121"}, {"ref": "gustavodemari/prudential-classification-mlp-with-keras", "kernel_id": "31170"}, {"ref": "inversion/digitize", "kernel_id": "35091"}, {"ref": "jeremypmobley/notebook-e05e16b76da45aa756c1", "kernel_id": "32699"}, {"ref": "jeremypmobley/notebook-39fb6125a91984e42129", "kernel_id": "32695"}, {"ref": "ipanin/notebook-f772d12b059ce4600a57", "kernel_id": "33011"}, {"ref": "vykhand/genetic-programming-lb-0-64", "kernel_id": "38278"}, {"ref": "kkondo/ridge-regression-score-0-55443", "kernel_id": "455742"}, {"ref": "kkondo/notebook04675aac2a", "kernel_id": "91975"}, {"ref": "vikramnrao/scripttest", "kernel_id": "38078"}, {"ref": "leventdinckal/journey-through-prudential", "kernel_id": "31879"}, {"ref": "mikraig/notebook-088479359c8cf020c260", "kernel_id": "27024"}, {"ref": "sankeyraut/xgboost-example-sanket", "kernel_id": "29985"}, {"ref": "sankeyraut/start", "kernel_id": "29975"}, {"ref": "kilimnik/xgb-test", "kernel_id": "38255"}, {"ref": "kilimnik/testtest", "kernel_id": "35244"}, {"ref": "kilimnik/prudential-forked", "kernel_id": "34934"}, {"ref": "kilimnik/notebook-3eea546ce72cde564eb0", "kernel_id": "34946"}, {"ref": "kilimnik/use-the-mlr-package-scores-0-649", "kernel_id": "34947"}, {"ref": "kramer/notebook-303c0971a91100ed8a84", "kernel_id": "28402"}, {"ref": "kramer/notebook-a460f722105d5ff0563d", "kernel_id": "38585"}, {"ref": "danielschulz/notebook-9413c913cda16d1fc7a3", "kernel_id": "31087"}, {"ref": "dipeshsingh/pru-dipeshks", "kernel_id": "32487"}, {"ref": "danielsack/notebook-e98021873821eb3cfe44", "kernel_id": "26811"}, {"ref": "danielsack/modified-basic-xgb-example", "kernel_id": "26813"}, {"ref": "chiedu/notebook-650650b1fc9fe3e10301", "kernel_id": "27525"}, {"ref": "sitesharyan/testwith", "kernel_id": "36487"}, {"ref": "izgordon/getting-started-with-xgboost", "kernel_id": "30423"}, {"ref": "izgordon/notebook-2dcc609c271e6db7cd10", "kernel_id": "30424"}, {"ref": "izgordon/tttt12345", "kernel_id": "30177"}, {"ref": "cast42/exploring-prudential", "kernel_id": "29367"}, {"ref": "micheledallatorre/notebook-c144b98fc9cc84667375", "kernel_id": "26898"}, {"ref": "pietromarinelli/notebook-14d30782c78257f00004", "kernel_id": "35390"}, {"ref": "srirama/notebook-5473dda0fc5fb3dcd71d", "kernel_id": "28605"}, {"ref": "parente/notebook-d28cf6020f9f0bfb0056", "kernel_id": "28114"}, {"ref": "tdevries/neural-network-example", "kernel_id": "29456"}, {"ref": "tbonza/notebook-d981c3895a6a7ad442ea", "kernel_id": "28162"}, {"ref": "chenglongchen/prudential-seed-23", "kernel_id": "34307"}, {"ref": "chenglongchen/exploring-the-data", "kernel_id": "33614"}, {"ref": "rachar1/xgboost-example-0-61171", "kernel_id": "26040"}, {"ref": "srikiyer/notebook-b5a240d9481eed1d6798", "kernel_id": "36395"}, {"ref": "srikiyer/notebook-b23addab7dcc4c2fdc84", "kernel_id": "36418"}, {"ref": "srikiyer/notebook-60ee315f2f1fe24a5a19", "kernel_id": "35788"}, {"ref": "srikiyer/notebook-a1209ad7c6f6979cc131", "kernel_id": "35778"}, {"ref": "srikiyer/xgb-prud1", "kernel_id": "35779"}, {"ref": "sibanjan/test1", "kernel_id": "29018"}, {"ref": "sibanjan/tttt12345", "kernel_id": "28994"}, {"ref": "andreobereigner/xgb-test", "kernel_id": "38539"}, {"ref": "zeroblue/bayesian-ridge", "kernel_id": "37239"}, {"ref": "zeroblue/xgboost-with-optimized-offsets", "kernel_id": "31906"}, {"ref": "zeroblue/xgb-offset", "kernel_id": "33019"}, {"ref": "moulti/notebook-a7d43754925bc0280cb5", "kernel_id": "30816"}, {"ref": "kaysuh/notebook-60a1d523c2c95faf72d9", "kernel_id": "26451"}, {"ref": "zaxcie/xgboost-with-optimized-offsets", "kernel_id": "32559"}, {"ref": "zaxcie/tttt12345", "kernel_id": "30466"}, {"ref": "rajnitjsr/rajendra1", "kernel_id": "25923"}, {"ref": "rajnitjsr/firstpythonscript", "kernel_id": "32357"}, {"ref": "dimitrislev/testtest", "kernel_id": "34920"}, {"ref": "aruizga7/notebook-8d0105f035cc8091ec97", "kernel_id": "28374"}, {"ref": "aruizga7/notebook-f168b25958ac1765773a", "kernel_id": "28376"}, {"ref": "aruizga7/newnotebook", "kernel_id": "28377"}, {"ref": "aruizga7/notebook-4c20bf44a71b3add355f", "kernel_id": "28378"}, {"ref": "aruizga7/newscript", "kernel_id": "28379"}, {"ref": "aruizga7/notebook-fc5ac0bc389974a513f0", "kernel_id": "28380"}, {"ref": "aruizga7/newscript1", "kernel_id": "28381"}, {"ref": "bigman/notebook-eacf60f2760a35e08a0d", "kernel_id": "30236"}, {"ref": "bigman/notebook-bbab04714397d711aaad", "kernel_id": "30238"}, {"ref": "shahidhanif/notebook-60e8f7333b541d0eafa8", "kernel_id": "31303"}, {"ref": "shahidhanif/notebook-bf489e677c183d0552c2", "kernel_id": "31304"}, {"ref": "koenboeckx/notebook-a571dae2fcc314a6194d", "kernel_id": "29240"}, {"ref": "harjeet/notebook-591e24e8959376897a8a", "kernel_id": "30949"}, {"ref": "kaalih/notebooktest", "kernel_id": "28250"}, {"ref": "wilanw/notebook-e2695c6d84739767fa80", "kernel_id": "37421"}, {"ref": "theringe/notebook-678c1bf8496e2de36ccb", "kernel_id": "25518"}, {"ref": "theringe/notebook-d99d1552bb49f6788f21", "kernel_id": "25519"}, {"ref": "mpellet771/notebook-3e4aee38a7fbba1915ad", "kernel_id": "31956"}, {"ref": "longnguyen/xgb-test", "kernel_id": "38520"}, {"ref": "beiwenwu/journey-through-prudential", "kernel_id": "45074"}, {"ref": "beiwenwu/notebook-b2deefc9dea27e52afc9", "kernel_id": "45285"}, {"ref": "beiwenwu/notebook-3b6a5096b6e32f466d7f", "kernel_id": "45287"}, {"ref": "beiwenwu/notebook-ac172f7fdd1e25bd4114", "kernel_id": "45288"}, {"ref": "beiwenwu/notebook-814875fcbd6d270ec6f3", "kernel_id": "45293"}, {"ref": "raghavendra018/notebookf02a249325", "kernel_id": "164434"}, {"ref": "luzhao/use-the-mlr-package-scores-0-649", "kernel_id": "31875"}, {"ref": "gunner4life/xgboost-example-0-62656-lb-score", "kernel_id": "30401"}, {"ref": "gunner4life/xgb-test", "kernel_id": "36952"}, {"ref": "gunner4life/test-fork", "kernel_id": "35843"}, {"ref": "chalkalan/prudential-visualization", "kernel_id": "38739"}, {"ref": "pateladitya/xgb-test", "kernel_id": "37066"}, {"ref": "pateladitya/notebook-d2c1f1f811e1c4d17c60", "kernel_id": "29885"}, {"ref": "shrigurunayak/notebook-81e997e45de3a6150fef", "kernel_id": "28391"}, {"ref": "nasserm/rf-features-importances", "kernel_id": "162649"}, {"ref": "soundwaveli00/xgb-test", "kernel_id": "37722"}, {"ref": "soundwaveli00/testtest", "kernel_id": "35265"}, {"ref": "zsaurk/tttt123", "kernel_id": "26719"}, {"ref": "raghparihar/xgb-te", "kernel_id": "38675"}, {"ref": "raghparihar/xgb-test-feature-eng", "kernel_id": "37469"}, {"ref": "clarkdjilo/notebook-23abdbf4fbab70e661e3", "kernel_id": "29020"}, {"ref": "pritipatra/xgb-basic-lb-0-667", "kernel_id": "38519"}, {"ref": "kaggleford/notebook-85e718f285ca300685bd", "kernel_id": "36679"}, {"ref": "ntumcw/notebook-a1f2371a2089976857e0", "kernel_id": "30670"}, {"ref": "sushize/tttt12345", "kernel_id": "27185"}, {"ref": "sushize/xgboost-63247-ssz", "kernel_id": "25994"}, {"ref": "sushize/xgboost-63247adj-ssz-v2", "kernel_id": "25995"}, {"ref": "sushize/xgb-64115", "kernel_id": "26406"}, {"ref": "sushize/xgb-64206", "kernel_id": "26411"}, {"ref": "sushize/rf-ssz-v1", "kernel_id": "26025"}, {"ref": "sushize/mlr-lb0-649", "kernel_id": "30938"}, {"ref": "sushize/nn-ssz-v1", "kernel_id": "30612"}, {"ref": "sushize/xgboost-with-optimized-offsets-0-66281", "kernel_id": "31995"}, {"ref": "sushize/caret-cv-0-66-ssz1", "kernel_id": "31584"}, {"ref": "sushize/xgb-test-lb0-67390", "kernel_id": "36941"}, {"ref": "sushize/xgb-test-7459", "kernel_id": "37793"}, {"ref": "sushize/test-lb0-67306", "kernel_id": "36227"}, {"ref": "sushize/xgb-test-67459", "kernel_id": "36702"}, {"ref": "sushize/test-lb0-67087", "kernel_id": "35611"}, {"ref": "shiaukuan/notebook-736603b8b087ad8fa1b7", "kernel_id": "38067"}, {"ref": "ianding/notebook-e446be3786ae3d566283", "kernel_id": "31815"}, {"ref": "ianding/justtry", "kernel_id": "31816"}, {"ref": "ianding/notebook-ef795b6175e51d232a6f", "kernel_id": "31817"}, {"ref": "farmiurl/notebook-72578e57045f932f2f8a", "kernel_id": "31462"}, {"ref": "himanshusharmaiitd/notebook-a210b1dc324c23cfaf2f", "kernel_id": "30040"}, {"ref": "rameshannam/notebook-a08b4088d9c81e60403c", "kernel_id": "25780"}, {"ref": "adityadeshpande/notebook-d89d639c529e18999ceb", "kernel_id": "36598"}, {"ref": "yaoadilan/xgboost-new2", "kernel_id": "26582"}, {"ref": "tadaoki/starter-script", "kernel_id": "25940"}, {"ref": "harneetsingh/notebook-59398a110db68dfe3767", "kernel_id": "48184"}, {"ref": "aurelg1106/xgb-test", "kernel_id": "37551"}, {"ref": "derekmchugh/notebook-adfe67f2b668e4adb081", "kernel_id": "33490"}, {"ref": "rho123/xgboost", "kernel_id": "31719"}, {"ref": "rho123/notebook-262bbbaecc1c173aa256", "kernel_id": "30453"}, {"ref": "rho123/python-xgboost-starter", "kernel_id": "30454"}, {"ref": "rho123/notebook-2be24f92fd9796b2a7a3", "kernel_id": "30447"}, {"ref": "rho123/test1", "kernel_id": "29735"}, {"ref": "rho123/notebook-ceed368d4be31647087c", "kernel_id": "29737"}, {"ref": "erwinraysparks/notebook-eb5f31b578a6a7d9d095", "kernel_id": "64988"}, {"ref": "johncook/basic-data-exploration", "kernel_id": "27819"}, {"ref": "albenvinoj/notebook-e0d3967c78019d984225", "kernel_id": "38813"}, {"ref": "michaelpawlus/testing-run-errors", "kernel_id": "37624"}, {"ref": "michaelpawlus/xgb-test", "kernel_id": "37618"}, {"ref": "michaelpawlus/xgboost-example-0-61171", "kernel_id": "25435"}, {"ref": "thinkersunil/explore-data", "kernel_id": "34724"}, {"ref": "mehwish/tttt123", "kernel_id": "26485"}, {"ref": "eumeek/notebook-be28833b771c69c3c7e0", "kernel_id": "36854"}, {"ref": "tiwarisiddhant/use-the-mlr-package-scores-0-649", "kernel_id": "31198"}, {"ref": "mikebirdgeneau/notebook-de6c92ab752e69a73216", "kernel_id": "38616"}, {"ref": "weekendworkout/notebook-e0909124b85c48ba892f", "kernel_id": "27965"}, {"ref": "codechamp/mydata", "kernel_id": "28771"}, {"ref": "yizhang4/basic-random-forest", "kernel_id": "32538"}, {"ref": "yizhang4/prudential-seed-23", "kernel_id": "34507"}, {"ref": "dalgacik/notebook-69f6002f19f17c561944", "kernel_id": "38024"}, {"ref": "mal000/notebook-1d4f3f5b2e4fc9f74dd5", "kernel_id": "25764"}, {"ref": "mal000/notebook-fbb88c5b5a0e6a5fa846", "kernel_id": "25765"}, {"ref": "tharindudr/xgboost-with-optimized-offsets", "kernel_id": "37717"}, {"ref": "tharindudr/early-stopping", "kernel_id": "27354"}, {"ref": "vasanthkalingeri/notebook-b6c6d48b88424f430f19", "kernel_id": "32084"}, {"ref": "chengjiun/test-01", "kernel_id": "27711"}, {"ref": "chengjiun/notebook-d8e068b271ad89e0780c", "kernel_id": "27712"}, {"ref": "chengjiun/notebook-5b1b5ce3e0c9cd9dd60f", "kernel_id": "36344"}, {"ref": "chengjiun/notebook-cb170409f549c4d90d01", "kernel_id": "36315"}, {"ref": "chengjiun/test-explore", "kernel_id": "36490"}, {"ref": "chengjiun/notebook-80b19b92056ae2063b41", "kernel_id": "36491"}, {"ref": "phchung/xgb-testii", "kernel_id": "38502"}, {"ref": "tinhkk/notebook-465ac6eb711a5e2d73f1", "kernel_id": "25719"}, {"ref": "foolsunma/notebook-51a24a0a62a1cd11b8ba", "kernel_id": "28824"}, {"ref": "mbussonn/notebook-b91157ff8316215c188c", "kernel_id": "28103"}, {"ref": "grouchy/notebook-767d0a95ae127db02cdf", "kernel_id": "70020"}, {"ref": "andyhe/caret-cv", "kernel_id": "32593"}, {"ref": "cherry86222/notebook-33c34244c848056fa7e2", "kernel_id": "33316"}, {"ref": "cherry86222/notebook-1aea3eac43b012c11e0c", "kernel_id": "33319"}, {"ref": "nmalepati/notebook-71ac9b1fa46798b765cd", "kernel_id": "33200"}, {"ref": "nmalepati/notebook-bc9f65ab95f3c1720c12", "kernel_id": "33204"}, {"ref": "nmalepati/notebook-69e34635ff76272279dc", "kernel_id": "33206"}, {"ref": "jmspock/testnotebook", "kernel_id": "25819"}, {"ref": "samrotashoka/genetic-programming-ii-lb-0-662", "kernel_id": "38937"}, {"ref": "vigneshr/notebook-cb5afa9336a885801f1f", "kernel_id": "27644"}, {"ref": "totalrecall/notebook-94ebba538bccd4e62353", "kernel_id": "30083"}, {"ref": "totalrecall/getting-started-0-1", "kernel_id": "30079"}, {"ref": "totalrecall/notebook-91ada8f000beac6b7594", "kernel_id": "30317"}, {"ref": "totalrecall/notebook-0cab6f9085ee06652ccf", "kernel_id": "30414"}, {"ref": "totalrecall/notebook-c52d601cce3b564332e8", "kernel_id": "30422"}, {"ref": "totalrecall/cluster", "kernel_id": "30409"}, {"ref": "onidzelskyi/notebook-cea5888c178643b23286", "kernel_id": "40685"}, {"ref": "onidzelskyi/notebook-78b84a692a5e6a2b5a56", "kernel_id": "29321"}, {"ref": "onidzelskyi/data-analysis-of-chat-messages-dataset", "kernel_id": "28920"}, {"ref": "onidzelskyi/notebook-e30096d0372baa88e7b3", "kernel_id": "28922"}, {"ref": "romanakhunov/first", "kernel_id": "32855"}, {"ref": "bibins/notebook-7b3db98519d337ecf28d", "kernel_id": "25990"}, {"ref": "balakumar76/notebook-84859be430718cb21029", "kernel_id": "25713"}, {"ref": "mlproness/testtest2", "kernel_id": "36900"}, {"ref": "realdeo/kaggle", "kernel_id": "25625"}, {"ref": "kesamet/xgb-test4", "kernel_id": "38327"}, {"ref": "kesamet/xgb-test1", "kernel_id": "34464"}, {"ref": "rhinodaveb/xgb-test-fold1", "kernel_id": "38692"}, {"ref": "rhinodaveb/xgb-test-fold2", "kernel_id": "38693"}, {"ref": "rhinodaveb/xgb-test-fold3", "kernel_id": "38694"}, {"ref": "rhinodaveb/xgb-test-fold4", "kernel_id": "38698"}, {"ref": "rhinodaveb/xgb-test-fold5", "kernel_id": "38699"}, {"ref": "daoudchahor/xgboost-fail", "kernel_id": "32374"}, {"ref": "threecourse/plotting-histograms", "kernel_id": "26497"}, {"ref": "johnnystrings/xgb-softmax-kappa", "kernel_id": "29558"}, {"ref": "t2mretro/notebook-4ad37f5ab930e9e95a32", "kernel_id": "37748"}, {"ref": "t2mretro/xgb-test-mod", "kernel_id": "37749"}, {"ref": "t2mretro/prudential-seed-23", "kernel_id": "37743"}, {"ref": "t2mretro/xgb-test", "kernel_id": "36988"}, {"ref": "peiyuanmao/notebook-2803fb6db38d10904d02", "kernel_id": "36442"}, {"ref": "peiyuanmao/notebook-809d1914b745427f731d", "kernel_id": "36443"}, {"ref": "peiyuanmao/notebook-45d550353529711be3c8", "kernel_id": "36446"}, {"ref": "peiyuanmao/notebook-53c9fcdbcfeeb7acd487", "kernel_id": "36447"}, {"ref": "peiyuanmao/asdasd", "kernel_id": "36448"}, {"ref": "peiyuanmao/notebook-169a5abd5f045af7191d", "kernel_id": "36449"}, {"ref": "vishwajiit/notebook-62c6492f90decd4b9c6f", "kernel_id": "32452"}, {"ref": "mariopasquato/linear-model", "kernel_id": "36486"}, {"ref": "mariopasquato/notebook-8c2e4c96acfb2296df16", "kernel_id": "36489"}, {"ref": "mariopasquato/xgb-test", "kernel_id": "36647"}, {"ref": "kapetis/xgboost-new1", "kernel_id": "25822"}, {"ref": "kapetis/xgboost-wow", "kernel_id": "25830"}, {"ref": "kapetis/tttt123", "kernel_id": "26363"}, {"ref": "kapetis/tttt123u", "kernel_id": "26365"}, {"ref": "kapetis/xgboost-new10", "kernel_id": "26291"}, {"ref": "kapetis/xgboost-new2", "kernel_id": "26027"}, {"ref": "kapetis/prudential-insurance-risk-predictions", "kernel_id": "26729"}, {"ref": "kapetis/sdfvxc", "kernel_id": "26732"}, {"ref": "kapetis/sdfvxcbn", "kernel_id": "26734"}, {"ref": "kapetis/tttt123456", "kernel_id": "26896"}, {"ref": "hroark/h2o-starter-script-v2", "kernel_id": "27791"}, {"ref": "hroark/h2o-starter-script", "kernel_id": "26273"}, {"ref": "astrude/notebook-e331c76e93e3e2ccd19b", "kernel_id": "26317"}, {"ref": "khyh00/response-plot", "kernel_id": "25689"}, {"ref": "kjandst/notebook-da5c2cffa26e804825a7", "kernel_id": "38845"}, {"ref": "priyambanerjee/notebook-092794bf7db0d2604bb3", "kernel_id": "28474"}, {"ref": "jindal/testtest2-v1", "kernel_id": "38560"}, {"ref": "jindal/testtest2", "kernel_id": "37082"}, {"ref": "brianbai/category-variables-histogram-by-response", "kernel_id": "29473"}, {"ref": "manasrkar/xgboost-with-optimized-offsets", "kernel_id": "33471"}, {"ref": "wittmaan/exploring-the-data", "kernel_id": "26763"}, {"ref": "arnocandel/h2o-starter-script", "kernel_id": "28291"}, {"ref": "jakub314/randomforest", "kernel_id": "28451"}, {"ref": "arcady27/notebook-fb09f98e6524a3a5eac2", "kernel_id": "38011"}, {"ref": "sohaibali/sohaib-life-insurance", "kernel_id": "40481"}, {"ref": "elieisenstein/randomforest", "kernel_id": "38606"}, {"ref": "sidhardhayepuri/notebook-de5975233576d842a151", "kernel_id": "30091"}, {"ref": "abhisg/notebook-4f9b54d2d4d82b7c38ee", "kernel_id": "27847"}, {"ref": "ladfaa/xgboost-example-0-61249", "kernel_id": "27397"}, {"ref": "scirpus/xgb-test", "kernel_id": "37109"}, {"ref": "scirpus/genetic-programming-ii-lb-0-662", "kernel_id": "38201"}, {"ref": "scirpus/genetic-programming-lb-0-64", "kernel_id": "34526"}, {"ref": "transwarp/journey-through-prudential", "kernel_id": "33487"}, {"ref": "shuimuxixiha/11111", "kernel_id": "34879"}, {"ref": "shuimuxixiha/notebook-4808ba531058a2abfb5b", "kernel_id": "34880"}, {"ref": "shuimuxixiha/111111-1", "kernel_id": "34881"}, {"ref": "shuimuxixiha/notebook-1ab5792c94361af458d5", "kernel_id": "34882"}, {"ref": "shuimuxixiha/prudential-1", "kernel_id": "34978"}, {"ref": "shuimuxixiha/notebook-6947c0592433a707b3ac", "kernel_id": "34979"}, {"ref": "shuimuxixiha/notebook-1ad03e3350d59a44ae6e", "kernel_id": "34980"}, {"ref": "csipred/notebook-21d41c58c6200bf6261a", "kernel_id": "35457"}, {"ref": "csipred/notebook-7e39fcb6cb4b67b53e83", "kernel_id": "35450"}, {"ref": "idgetto/notebook-7a6b4af4596ee1ff8601", "kernel_id": "31051"}, {"ref": "idgetto/notebook-6addd02120468af67bbb", "kernel_id": "31053"}, {"ref": "meierdar/notebook-85cd562776499cca0d12", "kernel_id": "35744"}, {"ref": "arthas/prudentiallifeinsurance", "kernel_id": "173864"}, {"ref": "verion/xgb-testsave", "kernel_id": "37629"}, {"ref": "verion/notebook-f4ba30e7bbe79428ff81", "kernel_id": "37485"}, {"ref": "verion/fork123", "kernel_id": "37481"}, {"ref": "verion/notebook-1eb222c1de84f21d3b4f", "kernel_id": "37482"}, {"ref": "verion/xgb-test", "kernel_id": "37488"}, {"ref": "verion/zalupa", "kernel_id": "37491"}, {"ref": "hemantime/notebook-95d13bc10b1a2fa86306", "kernel_id": "25541"}, {"ref": "hemantime/readdata", "kernel_id": "25542"}, {"ref": "rezamahani/notebookb0c172a0b8", "kernel_id": "107736"}, {"ref": "davidsl83/cuaderno", "kernel_id": "30156"}, {"ref": "davidsl83/notebook-1", "kernel_id": "30176"}, {"ref": "davidsl83/notebook-03b49df2aecf6ecada1a", "kernel_id": "30191"}, {"ref": "pratyush/notebook-f57a5c483c27acdc74d2", "kernel_id": "28799"}, {"ref": "annavictoria/notebook-db5f6ae14d51cd846b0b", "kernel_id": "28001"}, {"ref": "annavictoria/notebook-6ffa89ca0f1bc9105798", "kernel_id": "28002"}, {"ref": "dhunters/notebook-610441af30c7633adde4", "kernel_id": "31434"}, {"ref": "dhunters/prudentialviualisation", "kernel_id": "32714"}, {"ref": "dhunters/notebook-7ceb524b8277835a7f1c", "kernel_id": "32715"}, {"ref": "janekk/xgboost-with-optimized-offsets", "kernel_id": "31963"}, {"ref": "tazhoodeen/notebook-986e135509f6751ca5f2", "kernel_id": "38941"}, {"ref": "quantumplatypus/trying-out-the-mlr-package", "kernel_id": "30762"}, {"ref": "andirey/notebook-7380f5fb66d3f289967d", "kernel_id": "37739"}, {"ref": "nkorolyov/prudential-seed-23", "kernel_id": "33838"}, {"ref": "nkorolyov/notebook-d9d2aadaee128b936da1", "kernel_id": "33839"}, {"ref": "carloshuertas/xgb-testy-seed0", "kernel_id": "25478"}, {"ref": "carloshuertas/mlr-first-try", "kernel_id": "30756"}, {"ref": "paulochf/notebook-c10de20dfe94c4d3bcf6", "kernel_id": "28117"}, {"ref": "gracechen/notebook-da0309956b1d871f5f2f", "kernel_id": "27897"}, {"ref": "balasaheb/notebook-ddc37ec13f90c009e2f7", "kernel_id": "28794"}, {"ref": "rblourenco/test-1", "kernel_id": "35551"}, {"ref": "xscripter/life-01", "kernel_id": "33000"}, {"ref": "croos76/notebook-e67def72f17a13b7899b", "kernel_id": "32469"}, {"ref": "croos76/notebook-201a11bd0b37ba40956f", "kernel_id": "32470"}, {"ref": "jaredlau/insurance01", "kernel_id": "47779"}, {"ref": "profinact/notebook-e8ed0432234a89f76316", "kernel_id": "32999"}, {"ref": "dataninja/dataninja", "kernel_id": "26816"}, {"ref": "ksar00/example", "kernel_id": "28877"}, {"ref": "justfor/xgb-offset0501", "kernel_id": "32583"}, {"ref": "justfor/just-from-starter-script", "kernel_id": "30187"}, {"ref": "kaspar/starter-script", "kernel_id": "30442"}, {"ref": "datake/xgb-test", "kernel_id": "36783"}, {"ref": "datake/totototo", "kernel_id": "38832"}, {"ref": "ubsingh9/notebook-46223ee83637e4caeea7", "kernel_id": "32511"}, {"ref": "signochastic/xgb-test-lb0-67390", "kernel_id": "37301"}, {"ref": "signochastic/xgboost-with-optimized-offsets", "kernel_id": "36811"}, {"ref": "kashyap123/xgboost-example-0-61249", "kernel_id": "32651"}, {"ref": "abagherp/notebook-69c76d723451726bd2fb", "kernel_id": "27198"}, {"ref": "jrsskumard/notebook-aa3d5197088d82fc574c", "kernel_id": "25626"}, {"ref": "dorsatum/prudential-insurance-risk-predictions", "kernel_id": "170673"}, {"ref": "saintex/prudentialviualisation", "kernel_id": "33170"}, {"ref": "dithyrambe/notebook-bb28fb2fd1ebbf49363c", "kernel_id": "35018"}, {"ref": "dithyrambe/notebook-2d55ec04535683f7162c", "kernel_id": "34874"}, {"ref": "lulalachen/first-test", "kernel_id": "27356"}, {"ref": "ekonev/notebook-509bc6f6e76805ca9e90", "kernel_id": "38572"}, {"ref": "ekonev/notebook-75e45b1284669f22fe68", "kernel_id": "38594"}, {"ref": "ekonev/notebook-d3efb8817d631cb0e34f", "kernel_id": "38546"}, {"ref": "wojciechmigda/notebook-aada025f11469f8ac0f1", "kernel_id": "32996"}, {"ref": "wojciechmigda/rfclf-py", "kernel_id": "33026"}, {"ref": "wojciechmigda/notebook-af8d5ae1ca7b7f0bff1a", "kernel_id": "32485"}, {"ref": "wojciechmigda/xgboost-version-on-kaggle", "kernel_id": "35872"}, {"ref": "zhugds/test-script-2-1", "kernel_id": "36368"}, {"ref": "mlinsightrk/notebook-28cb7c5a548337ccb290", "kernel_id": "37352"}, {"ref": "cheerchen/notebook-e29ae065daa71f092b15", "kernel_id": "44119"}, {"ref": "tyhukg/tyhu-test", "kernel_id": "29610"}, {"ref": "tyhukg/tyhu-test-netbook", "kernel_id": "29614"}, {"ref": "mukundanm/notebook-f9ab316f196866dce8e3", "kernel_id": "28999"}, {"ref": "philoda/notebook-a044585cb81804030b48", "kernel_id": "29082"}, {"ref": "wooohooo/notebook-fc9efe73303cd329fd81", "kernel_id": "28568"}, {"ref": "wooohooo/notebook-9796ecfa30b1b809b681", "kernel_id": "28570"}, {"ref": "wooohooo/notebook-7f150324012d6cce2888", "kernel_id": "28571"}, {"ref": "wooohooo/notebook-bd9bd6d052d272011541", "kernel_id": "28572"}, {"ref": "yuvraj/python-xgboost-starter", "kernel_id": "38086"}, {"ref": "goldmine/insura", "kernel_id": "39281"}, {"ref": "goldmine/notebook-99bb6ac0a88358391eac", "kernel_id": "37583"}, {"ref": "rnadvodny/notebook-c99941608831b475dbcf", "kernel_id": "36180"}, {"ref": "crossvalidated/notebook-adc3647b1a3451edd307", "kernel_id": "31069"}, {"ref": "abhikmr/notebook-da92a8c22288aaa450f6", "kernel_id": "36758"}, {"ref": "bishwarup/notebook-16b29c194fe727889b31", "kernel_id": "30339"}, {"ref": "philferriere/testtest", "kernel_id": "38654"}, {"ref": "philferriere/prudential-seed-23", "kernel_id": "38658"}, {"ref": "philferriere/xgb-test2o", "kernel_id": "38659"}, {"ref": "philferriere/xgb-test2", "kernel_id": "38338"}, {"ref": "mindmi/my-first-notebook", "kernel_id": "28498"}, {"ref": "mindmi/xgb-test", "kernel_id": "38093"}, {"ref": "apshreyans/tuned", "kernel_id": "36935"}, {"ref": "apshreyans/python-copied-and-selftuned", "kernel_id": "35477"}, {"ref": "apshreyans/check", "kernel_id": "35658"}, {"ref": "apshreyans/4th-jan-2", "kernel_id": "36636"}, {"ref": "apshreyans/h2o-gbm-edit", "kernel_id": "31763"}, {"ref": "rajeshbindal/prudential-insurance-risk-predictions", "kernel_id": "31154"}, {"ref": "dkozyr/xgboost", "kernel_id": "37157"}, {"ref": "dkozyr/xgb-new-vars", "kernel_id": "38648"}, {"ref": "dkozyr/notebook-19f7e3c3237574916bf7", "kernel_id": "30397"}, {"ref": "realtwo/xgb-test", "kernel_id": "36612"}, {"ref": "andylin/notebook-bb6dd8045eff20bc8977", "kernel_id": "31735"}, {"ref": "granota/notebook-9a98a9ef9317e467f0b1", "kernel_id": "27663"}, {"ref": "granota/notebook-4346ca7ebb614c86a14d", "kernel_id": "27665"}, {"ref": "granota/testinsurance", "kernel_id": "27667"}, {"ref": "granota/notebook-4b0c1707ea0c7077f898", "kernel_id": "27668"}, {"ref": "cshaley/use-the-mlr-package-scores-0-649", "kernel_id": "32138"}, {"ref": "dreeux/xgb-offset0501", "kernel_id": "37419"}, {"ref": "ctrabuco/xgb-test0", "kernel_id": "38901"}, {"ref": "ctrabuco/xgb-800-offsets", "kernel_id": "38581"}, {"ref": "thomascleberg/ordinal-regression", "kernel_id": "32980"}, {"ref": "felipeclopes/xgb-test-feature-eng", "kernel_id": "37466"}, {"ref": "pingmadhankumar/insurance-underwriting", "kernel_id": "178874"}, {"ref": "jonathanslomka/testest", "kernel_id": "26578"}, {"ref": "jonathanslomka/trytry", "kernel_id": "26585"}, {"ref": "jonathanslomka/python-xgboost-starter", "kernel_id": "26525"}, {"ref": "jonathanslomka/xgboost-new1", "kernel_id": "26569"}, {"ref": "jonathanslomka/tttt123456", "kernel_id": "27394"}, {"ref": "jonathanslomka/a-little-test", "kernel_id": "26294"}, {"ref": "jonathanslomka/notebook-a4db15e5a36900c6a467", "kernel_id": "30363"}, {"ref": "jonathanslomka/tttt123450000", "kernel_id": "27459"}, {"ref": "jonathanslomka/tttt123456789000", "kernel_id": "27481"}, {"ref": "jonathanslomka/tttt123459999", "kernel_id": "27609"}, {"ref": "jonathanslomka/ttatzfzfzafz", "kernel_id": "27666"}, {"ref": "yangnanhai/testtest", "kernel_id": "35635"}, {"ref": "tgeral68/notebook-7a35b185af43f3e621d8", "kernel_id": "37131"}, {"ref": "gpistre/prud-xgb", "kernel_id": "34255"}, {"ref": "burness/mytest", "kernel_id": "35712"}, {"ref": "burness/prudential-insurance-risk-predictions", "kernel_id": "31064"}, {"ref": "datasj/xgbtry", "kernel_id": "25904"}, {"ref": "r4ch31r/sample", "kernel_id": "31141"}, {"ref": "r4ch31r/first-look", "kernel_id": "31143"}, {"ref": "r4ch31r/use-the-mlr-package-scores-0-649", "kernel_id": "33047"}, {"ref": "arunvarghese/notebook-bccfbb53cfa4dd9818e5", "kernel_id": "28856"}, {"ref": "aldente/testtest-forked-for-playing", "kernel_id": "34989"}, {"ref": "aldente/prudential-xgb-with-offset-play", "kernel_id": "33835"}, {"ref": "hemanthjoshi/notebook-4c43743b2db0ec10df0a", "kernel_id": "34852"}, {"ref": "us3819/notebook-51beceb05bbfeae15ec3", "kernel_id": "28869"}, {"ref": "us3819/notebook-2ef09cb6b20a35a56564", "kernel_id": "29467"}, {"ref": "us3819/notebook-972f315fb2ef7da92836", "kernel_id": "29468"}, {"ref": "platalytics/notebook-725f5ed135d17228def4", "kernel_id": "52274"}, {"ref": "khaledfayed/tttt12345", "kernel_id": "27689"}, {"ref": "chechir/features-predictive-power", "kernel_id": "29594"}, {"ref": "peregadea/notebook-76f1e17c7c60f6bc37cb", "kernel_id": "29279"}, {"ref": "cdouay/notebook-928580d0330021007fa3", "kernel_id": "32122"}, {"ref": "cdouay/prudentialvisualisation", "kernel_id": "32123"}, {"ref": "cdouay/rf-features-importances", "kernel_id": "35070"}, {"ref": "cdouay/notebook-7685cbc54aa0c04160ad", "kernel_id": "35061"}, {"ref": "jjuhannes/notebook-90a8877e30f2f4d33168", "kernel_id": "30025"}, {"ref": "jsh127/notebook-30ca5c4d88614b817ff7", "kernel_id": "31354"}, {"ref": "capeterson3/prudential-insurance-risk-predictions", "kernel_id": "27219"}, {"ref": "jmanish/prutest", "kernel_id": "26751"}, {"ref": "bgpanwar/notebook-5496707f9806c4b6ca01", "kernel_id": "31908"}, {"ref": "zhangyy1209/notebook-437793c8573d395f88cb", "kernel_id": "39606"}, {"ref": "carlcarlson/notebook-7a70632be56057906f24", "kernel_id": "30711"}, {"ref": "carlcarlson/notebook-d4c24652e5bdd05367a1", "kernel_id": "30712"}, {"ref": "sweeth/data-prep", "kernel_id": "29579"}, {"ref": "m4ch1n3/xgb-test2", "kernel_id": "38622"}, {"ref": "m4ch1n3/xgb-test", "kernel_id": "37556"}, {"ref": "m4ch1n3/testtest", "kernel_id": "35947"}, {"ref": "fenixlin/notebook-694b8dac74d9868cc0db", "kernel_id": "43310"}, {"ref": "alicelane/notebook-e2b94796db7d9edcdb37", "kernel_id": "32801"}, {"ref": "aviblinder/notebook-bf890ae98bdaf3099828", "kernel_id": "29705"}, {"ref": "ibombonato/notebook-8f93a054459ce89b9a3d", "kernel_id": "32321"}, {"ref": "wawltorconner/test-test-test", "kernel_id": "36926"}, {"ref": "davidl6/linear-model-0-65-in-lb", "kernel_id": "36545"}, {"ref": "liejenhoung/notebook-6c67c192b29e795419ba", "kernel_id": "35138"}, {"ref": "liejenhoung/notebook-ee19da30b9942e2290a4", "kernel_id": "26090"}, {"ref": "sherlock/notebook-4f394ee1450b1c9d3933", "kernel_id": "27696"}, {"ref": "funkyduck/notebook-9fe4d7dc7e0e57c4fac2", "kernel_id": "29461"}, {"ref": "balakumarank/notebook-43b8339fb6b858329515", "kernel_id": "29200"}, {"ref": "abhilashawasthi/aa12345", "kernel_id": "30179"}, {"ref": "abhilashawasthi/xgboost-cv-with-sqwk", "kernel_id": "29991"}, {"ref": "abhilashawasthi/m-mlr-package-0-65084", "kernel_id": "30867"}, {"ref": "abhilashawasthi/m-mlr-package", "kernel_id": "30856"}, {"ref": "abhilashawasthi/mlr-package", "kernel_id": "30871"}, {"ref": "abhilashawasthi/use-the-mlr-package", "kernel_id": "30726"}, {"ref": "abhilashawasthi/prudential-insurance-risk-predictions", "kernel_id": "31556"}, {"ref": "abhilashawasthi/xgboost-example-0-61171", "kernel_id": "25402"}, {"ref": "abhilashawasthi/notebook-ff04ca8c0300174c743e", "kernel_id": "25494"}, {"ref": "abhilashawasthi/xgboost", "kernel_id": "25501"}, {"ref": "abhilashawasthi/tttt12345", "kernel_id": "27176"}, {"ref": "deenmohan/notebook-f51732c7b896bd23cede", "kernel_id": "32167"}, {"ref": "derkanat/tttt123459999", "kernel_id": "27879"}, {"ref": "derkanat/tttt1234", "kernel_id": "27884"}, {"ref": "derkanat/tttt123450000", "kernel_id": "27465"}, {"ref": "derkanat/tttt123450", "kernel_id": "27473"}, {"ref": "derkanat/tttt1", "kernel_id": "27475"}, {"ref": "derkanat/tttt1234500", "kernel_id": "27492"}, {"ref": "derkanat/tttt13", "kernel_id": "27518"}, {"ref": "derkanat/abs50", "kernel_id": "27528"}, {"ref": "derkanat/tttt12345", "kernel_id": "27080"}, {"ref": "derkanat/tttt123", "kernel_id": "26359"}, {"ref": "derkanat/a-little-test", "kernel_id": "26345"}, {"ref": "derkanat/xgboost-01", "kernel_id": "26196"}, {"ref": "derkanat/xgboost-new1", "kernel_id": "25912"}, {"ref": "lsancerio/tesac", "kernel_id": "32926"}, {"ref": "lsancerio/notebook-6229eb3c234a92f974f5", "kernel_id": "32927"}, {"ref": "lsancerio/notebook-259b26e0d05f5b669781", "kernel_id": "32928"}, {"ref": "heaviside9/sklearn-linear-regression-benchmark", "kernel_id": "33821"}, {"ref": "ys19931006/trial", "kernel_id": "27115"}, {"ref": "ys19931006/4444444", "kernel_id": "32880"}, {"ref": "ys19931006/xgb-test", "kernel_id": "36818"}, {"ref": "ys19931006/xgb-test1", "kernel_id": "36851"}, {"ref": "somsubhrasikdar/notebook-0fa65f02e7b8e3b14de9", "kernel_id": "29489"}, {"ref": "anupam1924/prud-1", "kernel_id": "34549"}, {"ref": "gsk001/notebook-6c7c1d23cdf7121bc891", "kernel_id": "29587"}, {"ref": "gsk001/notebook-9a06b9583b5b0fa80e17", "kernel_id": "30268"}, {"ref": "shiva90/xgb-testdsasasa", "kernel_id": "38672"}, {"ref": "shiva90/xgb-test12313212", "kernel_id": "38661"}, {"ref": "kmenou/notebook-8127a38d8f59fc37f2b1", "kernel_id": "35629"}, {"ref": "lmattbit/notebook-98dbfc3d71095b6d0f6a", "kernel_id": "26212"}, {"ref": "mgilani/neural-network-example", "kernel_id": "32573"}, {"ref": "ayushthakur/notebook-84521437272877cd8207", "kernel_id": "28328"}, {"ref": "sionek/xgbtest33", "kernel_id": "37156"}, {"ref": "sionek/tttt12345", "kernel_id": "27273"}, {"ref": "sionek/xgboost-example-0-61249", "kernel_id": "27222"}, {"ref": "sionek/test321", "kernel_id": "27325"}, {"ref": "sionek/tttt123456", "kernel_id": "26988"}, {"ref": "sionek/tttt1234567", "kernel_id": "26993"}, {"ref": "manu92/prudential-insurance-risk-predictions", "kernel_id": "170847"}, {"ref": "sandhyak/prudential-test", "kernel_id": "32472"}, {"ref": "sandhyak/p-test", "kernel_id": "32952"}, {"ref": "alemozz/first-notebook", "kernel_id": "35042"}, {"ref": "mhw1902/xgboost-example-0-62656-lb-score", "kernel_id": "33431"}, {"ref": "antonov/notebook-42d87c0530135d5e1e52", "kernel_id": "26536"}, {"ref": "olao44/notebook-56bfc74545267c680dde", "kernel_id": "28009"}, {"ref": "djpingu/xgb-offset-0501-02", "kernel_id": "32405"}, {"ref": "vkat72293/merged-train-and-test-data-predictor", "kernel_id": "38147"}, {"ref": "goldassaf/xgboost-with-optimized-offsets", "kernel_id": "35074"}, {"ref": "rajdeltarobo/xgb-test", "kernel_id": "38510"}, {"ref": "raosatyan/prudential", "kernel_id": "34404"}, {"ref": "zakrottier/zakrottier", "kernel_id": "32674"}, {"ref": "abednadir/xgboost2411asdf", "kernel_id": "25630"}, {"ref": "judejin/notebook-d6e64951d5ae359b55e2", "kernel_id": "33962"}, {"ref": "judejin/notebook-0d30c96604442a8890e7", "kernel_id": "34208"}, {"ref": "rise4143/notebook-be6d5c94e25a248a946f", "kernel_id": "33164"}, {"ref": "gelinator/prudentially", "kernel_id": "29140"}, {"ref": "gelinator/notebook-5083ad8622bb8802e98a", "kernel_id": "29112"}, {"ref": "gelinator/notebook-6e72e0748213b1f74dc6", "kernel_id": "29117"}, {"ref": "gelinator/notebook-f915c98fe3cbcaab976a", "kernel_id": "29120"}, {"ref": "gelinator/notebook-3a3487fb61b6c8a0be4e", "kernel_id": "29450"}, {"ref": "fsharifi/test-all-anova", "kernel_id": "28764"}, {"ref": "fsharifi/test-all", "kernel_id": "28743"}, {"ref": "fsharifi/tttt123", "kernel_id": "28748"}, {"ref": "fsharifi/prudential-insurance-risk-predictions", "kernel_id": "28785"}, {"ref": "fsharifi/caret-cv3", "kernel_id": "33310"}, {"ref": "fsharifi/caret-cv2", "kernel_id": "32144"}, {"ref": "fsharifi/caret-cv", "kernel_id": "31826"}, {"ref": "fsharifi/xgb-offset0501", "kernel_id": "32568"}, {"ref": "fsharifi/testtestt", "kernel_id": "35884"}, {"ref": "fsharifi/testtest", "kernel_id": "35771"}, {"ref": "fsharifi/testtes", "kernel_id": "36055"}, {"ref": "fsharifi/testtest1", "kernel_id": "37517"}, {"ref": "fsharifi/testtesttest", "kernel_id": "37519"}, {"ref": "mengyanglin/notebook-251e670dc2fe21c694b3", "kernel_id": "37516"}, {"ref": "briantat/notebook-76788adc430bdd127d26", "kernel_id": "32961"}, {"ref": "nels2248/prudential-insurance-risk-predictions", "kernel_id": "29073"}, {"ref": "bangds/testtest", "kernel_id": "36303"}, {"ref": "challengekarthik/notebook-6d62fc9ccfcec40248e2", "kernel_id": "32673"}, {"ref": "ivangeraskin1991/notebook-3bc46c63f46934cd91ab", "kernel_id": "31772"}, {"ref": "kbartol/notebook-d23fd87428e1051329dd", "kernel_id": "27309"}, {"ref": "kbartol/simple-sklearn-randomforestclassifier", "kernel_id": "27765"}, {"ref": "freeser/notebook-697da6ed669ceedef20e", "kernel_id": "37492"}, {"ref": "akitomo/notebook-a553797bcdb4342314bb", "kernel_id": "29668"}, {"ref": "xiaoyijhb/notebook-66c67519fad9d46a2996", "kernel_id": "32998"}, {"ref": "tanataku1988/mytest", "kernel_id": "87151"}, {"ref": "clusterhunter/notebook-6cd3249e209a6079cbce", "kernel_id": "31084"}, {"ref": "clusterhunter/notebook-458422e31eb6bfd5bfd7", "kernel_id": "31031"}, {"ref": "saileshmohanty/xgboost-with-optimized-offsets-1", "kernel_id": "34151"}, {"ref": "saileshmohanty/xgboost-with-optimized", "kernel_id": "34226"}, {"ref": "saileshmohanty/xgboost-1", "kernel_id": "34227"}, {"ref": "saileshmohanty/h2o-starter-script", "kernel_id": "34858"}, {"ref": "saileshmohanty/neural-network-example", "kernel_id": "34859"}, {"ref": "chabir/notebook-f0586e91d833f4579c3c", "kernel_id": "38204"}, {"ref": "echo88/notebook-3deba694d90d02931876", "kernel_id": "25937"}, {"ref": "pchitta/cluster-try", "kernel_id": "33098"}, {"ref": "pchitta/krls-try", "kernel_id": "30549"}, {"ref": "pchitta/vbmprvadial-try", "kernel_id": "30061"}, {"ref": "pchitta/caret-cv", "kernel_id": "25669"}, {"ref": "kobonyo/notebook-9edddf6c6250bd361b36", "kernel_id": "37730"}, {"ref": "kobonyo/xgboost-with-optimized-offsets", "kernel_id": "37732"}, {"ref": "rmasoc/notebook-e14662aebab4ec3c8beb", "kernel_id": "30379"}, {"ref": "leeguanhua/xgboost-with-optimized-offsets", "kernel_id": "32021"}, {"ref": "budounomizu/notebook-16cf0c51d13a98c393b3", "kernel_id": "28372"}, {"ref": "mayank065/caret-cv", "kernel_id": "33013"}, {"ref": "matamagu/notebook-482a93394a3be35338c3", "kernel_id": "30023"}, {"ref": "matamagu/notebook-3b85c69589e8dbd2a6dc", "kernel_id": "30350"}, {"ref": "thedarkl0rd/xgb-offset", "kernel_id": "32656"}, {"ref": "thedarkl0rd/xgb-offset0501", "kernel_id": "32653"}, {"ref": "jayuloy/notebook-f519507b5965d4255e33", "kernel_id": "30975"}, {"ref": "timxflin/notebook-39b5e84797f56a6fed26", "kernel_id": "35420"}, {"ref": "algonell/notebook-ee9727982dcffaadd1f4", "kernel_id": "26354"}, {"ref": "pkovacs/notebook-6daa08b84a13762b651d", "kernel_id": "31569"}, {"ref": "bidhya/keras-nn", "kernel_id": "36610"}, {"ref": "gau2112/notebook-06b9bd4cf036f884bd8b", "kernel_id": "29576"}, {"ref": "gau2112/my-first-script", "kernel_id": "29577"}, {"ref": "njuysen/rf-features-importances", "kernel_id": "142957"}, {"ref": "saurabhkansal/notebook-82db776b444a10849455", "kernel_id": "34761"}, {"ref": "saurabhkansal/xgboost-1", "kernel_id": "34762"}, {"ref": "saurabhkansal/saurabh123", "kernel_id": "38352"}, {"ref": "saurabhkansal/saurabh", "kernel_id": "35151"}, {"ref": "maartenk/notebook-7b7bbf8a9e7a92169b06", "kernel_id": "30381"}, {"ref": "rexdwyer/notebook-177d15a3c43aa1045aa4", "kernel_id": "28703"}, {"ref": "rexdwyer/notebook-afa0c42ff7d04ad03d18", "kernel_id": "28717"}, {"ref": "rexdwyer/notebook-66db1d20913127ad4b5e", "kernel_id": "29734"}, {"ref": "sudhuvvmn/xgb-test", "kernel_id": "38776"}, {"ref": "scranefield/notebook-d4f74d83bb5db10ef8be", "kernel_id": "29463"}, {"ref": "nakatsuchi/notebook-408fe58ba00bcd5f3508", "kernel_id": "37585"}, {"ref": "nakatsuchi/notebook-204c68bf85838ccbf26d", "kernel_id": "37586"}, {"ref": "zhewang/tttt12345", "kernel_id": "31215"}, {"ref": "zhewang/m-mlr-package", "kernel_id": "30956"}, {"ref": "qichaotang97/journey-through-prudential", "kernel_id": "33488"}, {"ref": "heweiyi/notebook-dece5bd79306ffd8da83", "kernel_id": "34781"}, {"ref": "micpax/notebook-5c11a6c655d3ce6e8b0b", "kernel_id": "35377"}, {"ref": "tharindukumara/prudential-insurance-risk-predictions", "kernel_id": "33285"}, {"ref": "beteemde/xgboost", "kernel_id": "25565"}, {"ref": "beteemde/testtest2", "kernel_id": "36524"}, {"ref": "beteemde/prudential-seed-23-2", "kernel_id": "34080"}, {"ref": "fe2ol3t9n301be/notebook-277f978c6f315cf887b1", "kernel_id": "31220"}, {"ref": "autostrat/xgb-test-67459", "kernel_id": "38359"}, {"ref": "lifepreserver/randomjunk001", "kernel_id": "31599"}, {"ref": "lifepreserver/simple-sklearn-randomforestclassifier", "kernel_id": "25398"}, {"ref": "lifepreserver/notebook-940e42350e2dbfc01a9b", "kernel_id": "26696"}, {"ref": "lifepreserver/notebook-e268436eef629c42d14f", "kernel_id": "26084"}, {"ref": "lifepreserver/notebook-befec7d2d2167ff11eb0", "kernel_id": "26085"}, {"ref": "randhyllcho/rc123", "kernel_id": "26299"}, {"ref": "chenxuhui/notebook-55c82f2807133e295822", "kernel_id": "25690"}, {"ref": "ryabokonroman/prudential-seed-23", "kernel_id": "33505"}, {"ref": "sandeepd/notebook-384c656477df5068de24", "kernel_id": "56103"}, {"ref": "quedah/notebook-19a2a5f84e9b906095e8", "kernel_id": "38817"}, {"ref": "tunguz/tttt123456", "kernel_id": "26952"}, {"ref": "tunguz/notebook-df616caaaf3696857abc", "kernel_id": "32805"}, {"ref": "tunguz/notebook-ac28c60e40dd212351c0", "kernel_id": "33953"}, {"ref": "emoerman/notebook-85b79d5f6720e9f9809f", "kernel_id": "26860"}, {"ref": "oivanov/xgb-test-don-t-eat", "kernel_id": "36715"}, {"ref": "oivanov/testtest", "kernel_id": "36414"}, {"ref": "ahoppity/notebook6d152da235", "kernel_id": "112578"}, {"ref": "balasethuraman/notebook-0a0db22e11a5f212e7e8", "kernel_id": "35522"}, {"ref": "xiaahui/notebook-0b38262bbe358aac45bc", "kernel_id": "32664"}, {"ref": "aabceh/notebook-cc54fd53ef3d7012c0cd", "kernel_id": "30282"}, {"ref": "sganev/notebook-dc680841694d7d03bd7c", "kernel_id": "28343"}, {"ref": "pararols/xgboost-with-optimized-offsets", "kernel_id": "33217"}, {"ref": "michaelfan/try-packages", "kernel_id": "35962"}, {"ref": "michaelfan/xgbst", "kernel_id": "36699"}, {"ref": "michaelfan/try-it", "kernel_id": "35628"}, {"ref": "huili0140/xgboost-version-1", "kernel_id": "29588"}, {"ref": "giridharan1981/imputation-of-missing-values", "kernel_id": "32381"}, {"ref": "giridharan1981/xgb-classification", "kernel_id": "34236"}, {"ref": "giridharan1981/notebook-ece7ce92c29736a66c39", "kernel_id": "33359"}, {"ref": "giridharan1981/notebook-33df12f0c7c674bc165a", "kernel_id": "33380"}, {"ref": "giridharan1981/notebook-189cfcba9da7ca26792a", "kernel_id": "33381"}, {"ref": "giridharan1981/notebook-f5ccd96179f0046a5858", "kernel_id": "33382"}, {"ref": "ilovetlic/notebook-bf27e0f28fcf72154b24", "kernel_id": "38686"}, {"ref": "salayatana66/journey-through-prudential", "kernel_id": "33366"}, {"ref": "veronikayu/xgb-test-3", "kernel_id": "37338"}, {"ref": "aamavr/notebook-515717d383b7cae8f15d", "kernel_id": "31749"}, {"ref": "alpoza/notebook-096eca2d7b3bd39aa344", "kernel_id": "29306"}, {"ref": "alpoza/notebook-1e938b6d03b154ac54de", "kernel_id": "29307"}, {"ref": "alpoza/notebook-82494bf187494473ee9a", "kernel_id": "31309"}, {"ref": "alpoza/prudentialtest", "kernel_id": "33844"}, {"ref": "alpoza/notebook-e119afc3965846c3910f", "kernel_id": "38752"}, {"ref": "alpoza/notebook-376fd2c80f36307589b8", "kernel_id": "37083"}, {"ref": "alpoza/notebook-94d956a0e94eb6b0280c", "kernel_id": "37512"}, {"ref": "alpoza/notebook-13dba8e20a37c8ec46a9", "kernel_id": "37513"}, {"ref": "alpoza/testtest-2", "kernel_id": "35305"}, {"ref": "alpoza/notebook-b5a7d58d7a1a98eb1f4e", "kernel_id": "36427"}, {"ref": "jiaxit/prudential-insurance-risk-predictions", "kernel_id": "29442"}, {"ref": "jiaxit/notebook-04e7c23acb331f70ddec", "kernel_id": "29443"}, {"ref": "priyajacob2000/notebook-55c1868d724f7ed37544", "kernel_id": "32951"}, {"ref": "lt2446/notebook-85efb43cbcaa1275d4cc", "kernel_id": "29053"}, {"ref": "alexeylive/xgb-test", "kernel_id": "38508"}, {"ref": "submartingale/notebook-92f2c89006bb1bedb1bb", "kernel_id": "30724"}, {"ref": "adilshv/notebook-57458e97c5616284bad4", "kernel_id": "29289"}, {"ref": "afuentes/notebook-afe7b906d5b287e9bf59", "kernel_id": "34453"}, {"ref": "junfeng/notebook-5288e5b9b59c7f0f4cce", "kernel_id": "30969"}, {"ref": "junfeng/nn-with-kappa-callback-and-custom-activ", "kernel_id": "30973"}, {"ref": "saghapour/caret-cv", "kernel_id": "31923"}, {"ref": "master1811/notebook-8fc9b7e3583171a1fbb3", "kernel_id": "29188"}, {"ref": "barca1990/notebook-fd6313a2645178f5c193", "kernel_id": "38287"}, {"ref": "ramarsjillella/use-the-mlr-package-scores-0-649", "kernel_id": "35047"}, {"ref": "johnsgr17/notebook-5cb5a18e609b91ce59d1", "kernel_id": "32303"}, {"ref": "cacal39/notebook-2b4a9dc4a06f52ea335d", "kernel_id": "38207"}, {"ref": "marcellonegro/xgboost-with-optimized-offsets", "kernel_id": "36918"}, {"ref": "marcellonegro/testtest", "kernel_id": "36991"}, {"ref": "marcellonegro/prudential-seed-23", "kernel_id": "34689"}, {"ref": "marcellonegro/xgb-offset0501", "kernel_id": "32613"}, {"ref": "tfglaser/prudential-visualization", "kernel_id": "35252"}, {"ref": "tfglaser/prudential-ml", "kernel_id": "35255"}, {"ref": "gabrielreiss/notebook-714c1b1061519ebdb7a5", "kernel_id": "25971"}, {"ref": "sisichen/notebook-d05c9e2638351862edc4", "kernel_id": "26625"}, {"ref": "erfansa/logisticreg", "kernel_id": "28766"}, {"ref": "erfansa/first-try", "kernel_id": "28740"}, {"ref": "watsonwong/notebook-dcd91a0672810da1a092", "kernel_id": "27680"}, {"ref": "mopkobb1/notebook-49f48379e5c102395cb7", "kernel_id": "36656"}, {"ref": "mopkobb1/test-pow2", "kernel_id": "36689"}, {"ref": "mopkobb1/lr-copy", "kernel_id": "37957"}, {"ref": "omarelgabry/prudential-insurance-risk-predictions", "kernel_id": "26658"}, {"ref": "ojasvi/using-decisiontree", "kernel_id": "30959"}, {"ref": "ojasvi/randomeforest", "kernel_id": "33004"}, {"ref": "vivek8943/testcgd", "kernel_id": "30012"}, {"ref": "guicaro/testing", "kernel_id": "28301"}, {"ref": "kumarsharma/m-mlr-run", "kernel_id": "31366"}, {"ref": "kumarsharma/testp", "kernel_id": "37542"}, {"ref": "gaurav6351/using-xgb", "kernel_id": "38844"}, {"ref": "gaurav6351/pruden", "kernel_id": "30963"}, {"ref": "alximiks/notebook-f824269792b4ef779eee", "kernel_id": "36600"}, {"ref": "beedata/notebook-608397f91c2b8dd48590", "kernel_id": "36640"}, {"ref": "haomood/notebook-d280eeb051c397b5e106", "kernel_id": "30318"}, {"ref": "beloborodovdmitri/notebook-10ef15ef3b2b0a423ba2", "kernel_id": "36939"}, {"ref": "beloborodovdmitri/notebook-077932f0d277cbe72a97", "kernel_id": "36956"}, {"ref": "beloborodovdmitri/notebook-0f70fe7838a355bb3ae3", "kernel_id": "37125"}, {"ref": "beloborodovdmitri/notebook-5ef25e4628144a7c05c0", "kernel_id": "37144"}, {"ref": "balazsfeher/notebook-77ca5a37131d657e2802", "kernel_id": "31122"}, {"ref": "vitaliyradchenko/xgb-test", "kernel_id": "38168"}, {"ref": "partha1234/notebook-c8e606cd30fcfd863f9d", "kernel_id": "38928"}, {"ref": "partha1234/final-pru", "kernel_id": "39044"}, {"ref": "notaapple/xgboost-cv-with-sqwk", "kernel_id": "29943"}, {"ref": "bobcz3/notebook-7a0ee8956de6212defe1", "kernel_id": "29779"}, {"ref": "bobcz3/journey-through-prudential", "kernel_id": "29780"}, {"ref": "bobcz3/neural-network-example", "kernel_id": "30604"}, {"ref": "bobcz3/t-sne-for-prudential", "kernel_id": "31465"}, {"ref": "peymanx/notebook-51b7e026f217b65c7460", "kernel_id": "27045"}, {"ref": "ybbaigo/notebook-afbfee78d5071e33e70b", "kernel_id": "37927"}, {"ref": "ybbaigo/notebook-5622cb9288a8d8e2d88a", "kernel_id": "36546"}, {"ref": "brianconnorflynn/prudential", "kernel_id": "29441"}, {"ref": "brianconnorflynn/notebook-580e079d5c932513b021", "kernel_id": "29436"}, {"ref": "brianconnorflynn/notebook-1ff5a038b622a17ee4ab", "kernel_id": "29168"}, {"ref": "akaakaaka/notebookc84887fb8a", "kernel_id": "121337"}, {"ref": "mat4mlw/prudential-insurance-risk-predictions", "kernel_id": "27982"}, {"ref": "mat4mlw/notebook-8624870efee807fb138b", "kernel_id": "27983"}, {"ref": "datajon/notebook-15fd515f5ecb6e2aa546", "kernel_id": "25531"}, {"ref": "datajon/notebook-22bdf0824b9cf724e280", "kernel_id": "25532"}, {"ref": "datajon/notebook-4f01fe10e208b1ebf28c", "kernel_id": "25533"}, {"ref": "crazieyes/tttt12345n", "kernel_id": "30906"}, {"ref": "eakyimba/notebook-5fea0d7c928dc624747f", "kernel_id": "31608"}, {"ref": "eakyimba/notebook-528a2a468f4e2dabbb10", "kernel_id": "31609"}, {"ref": "pmduarte/notebook-fd57df62c03250dcac19", "kernel_id": "27252"}, {"ref": "pruadmin/starter-script", "kernel_id": "25383"}, {"ref": "moidalitpba/prudential-insurance-risk-predictions", "kernel_id": "26919"}, {"ref": "mzagula/use-the-mlr-package-scores-0-649", "kernel_id": "108732"}, {"ref": "mschmiege/notebook-c516547a194eadd8b39b", "kernel_id": "25806"}, {"ref": "mschmiege/notebook-5cd2b9bef68cd5b015cd", "kernel_id": "25809"}, {"ref": "zsorif/notebook-cd43d7265a9cb8d9784a", "kernel_id": "25422"}, {"ref": "zsorif/notebook-1a25721b993f6d203e14", "kernel_id": "25503"}, {"ref": "grishak/trrrryyy1", "kernel_id": "36533"}, {"ref": "gsilvapt/titanic-prediction-with-means-instead-na", "kernel_id": "26169"}, {"ref": "comrade6000/notebook-8e631a36e55e45644543", "kernel_id": "26032"}, {"ref": "lazarenkoal/notebook-08c905f378380950fb67", "kernel_id": "31061"}, {"ref": "kaflesudip/notebook-e074b472fe611064956b", "kernel_id": "32887"}, {"ref": "shc14016/notebook-7285dc1006cf69c93ae3", "kernel_id": "65511"}, {"ref": "yossico/rf-features-importances", "kernel_id": "37940"}, {"ref": "singerbj/derpfile", "kernel_id": "27259"}, {"ref": "mikegee/my-notebook", "kernel_id": "26918"}, {"ref": "brasil/notebook-fbb46ae0c15ffebf1abb", "kernel_id": "29686"}, {"ref": "tahoo05/notebook-1c92ab869af41cadd382", "kernel_id": "27281"}, {"ref": "xiazhidongzhi/test123q", "kernel_id": "33873"}, {"ref": "xiazhidongzhi/notebook-c3f2d20efa11b48955cc", "kernel_id": "33879"}, {"ref": "xiazhidongzhi/notebook-a3c22e640f0113808fa2", "kernel_id": "33880"}, {"ref": "xiazhidongzhi/sjffff", "kernel_id": "33586"}, {"ref": "distilerul/first-one", "kernel_id": "27311"}, {"ref": "suzannezhu/notebook-054c7998aaa443c33c11", "kernel_id": "27332"}, {"ref": "lucienderubempre/whoknows", "kernel_id": "36435"}, {"ref": "tsingcoo/notebook-f7182a34a94ca8037dc6", "kernel_id": "27632"}, {"ref": "tsingcoo/notebook-971ed6a7c947ad7a4dcf", "kernel_id": "27722"}, {"ref": "tsingcoo/notebook-6cdb0c92564738909a97", "kernel_id": "30686"}, {"ref": "tsingcoo/notebook-12f32fbe6470ff250e9e", "kernel_id": "30687"}, {"ref": "tsingcoo/version-6", "kernel_id": "30630"}, {"ref": "tsingcoo/version1", "kernel_id": "30566"}, {"ref": "tsingcoo/version-7", "kernel_id": "32857"}, {"ref": "tsingcoo/666666", "kernel_id": "33357"}, {"ref": "tsingcoo/nn00001", "kernel_id": "33663"}, {"ref": "suifeng/notebook-f39453fa9d4d87333d36", "kernel_id": "32633"}, {"ref": "ujjwalshridhar/myfirst", "kernel_id": "36526"}, {"ref": "sheldonbond/starter-script", "kernel_id": "35718"}, {"ref": "datapath/script-01", "kernel_id": "27933"}, {"ref": "datapath/xgboost-with-optimized-offsets-33-50", "kernel_id": "35375"}, {"ref": "jacopobozzi/notebook-afafa6cf3f012adf80f4", "kernel_id": "28043"}, {"ref": "jacopobozzi/basic-data-exploration", "kernel_id": "28044"}, {"ref": "tzneal/notebook-2cd7f94001663fc3ce94", "kernel_id": "29637"}, {"ref": "tzneal/notebook-e891996d9fb02836e70f", "kernel_id": "29520"}, {"ref": "tzneal/testing", "kernel_id": "29517"}, {"ref": "uuuu89012/notebook-5729ebfb34d0e60850a9", "kernel_id": "28259"}, {"ref": "uuuu89012/notebook-fb8cd9950fe31aaec251", "kernel_id": "28255"}, {"ref": "eoghanf/notebook-b86f384f2769246fb026", "kernel_id": "36672"}, {"ref": "davidwalljones/notebook-ccd77dbe50fddfac0804", "kernel_id": "28256"}, {"ref": "luksss/testing-1", "kernel_id": "38644"}, {"ref": "babun10/notebook-a5e682c4cb1216477c24", "kernel_id": "28483"}, {"ref": "shababa/forwinnie", "kernel_id": "240348"}, {"ref": "shababa/neural-network-example7", "kernel_id": "240340"}, {"ref": "shababa/neural-network-example2-0-75-0-75", "kernel_id": "240319"}, {"ref": "shababa/neural-network-example", "kernel_id": "240311"}, {"ref": "shababa/neural-network-example2", "kernel_id": "240312"}, {"ref": "shababa/neural-network-example2-0-5-0-2", "kernel_id": "240314"}, {"ref": "kdeepak/notebook-4c8ca3fb30896f419eda", "kernel_id": "28661"}, {"ref": "kdeepak/xgb-test", "kernel_id": "36865"}, {"ref": "mf1533054/notebook-253ab53e6b1ac9419eff", "kernel_id": "32758"}, {"ref": "taebong/notebook-c8b764efd11957639c4f", "kernel_id": "28688"}, {"ref": "xuzijian418/notebook-369bb59f83b764a4db2a", "kernel_id": "29001"}, {"ref": "wanghaha/sdasdfasdssdsf", "kernel_id": "30351"}, {"ref": "antoinemercier/notebook-fe1875f43af19d050ea6", "kernel_id": "38197"}, {"ref": "wkrain/notebook-a420352bfd593e964204", "kernel_id": "32632"}, {"ref": "wkrain/notebook-5835811383fb36234d2b", "kernel_id": "32592"}, {"ref": "wkrain/notebook-db2c1b3b6612d9f2d193", "kernel_id": "30847"}, {"ref": "wkrain/notebook-27c621ea5e68ecec7b98", "kernel_id": "30966"}, {"ref": "wkrain/notebook-dd89225642dfbfc667f5", "kernel_id": "31043"}, {"ref": "yao1994/notebook-14bcdf8560d8fbfa8db7", "kernel_id": "29484"}, {"ref": "yao1994/notebook-2dcc8c7a00044c29b006", "kernel_id": "31490"}, {"ref": "flecogui/notebook-dbde6d4a736e4cfd338e", "kernel_id": "33500"}, {"ref": "flecogui/essai-du-script", "kernel_id": "33502"}, {"ref": "syroejka/prudential-insurance-risk-predictions", "kernel_id": "29807"}, {"ref": "syroejka/notebook-2b7794fc1aa099d2703b", "kernel_id": "30186"}, {"ref": "syroejka/notebook-16afaa9de4b1433a95d5", "kernel_id": "30010"}, {"ref": "syroejka/notebook-7d429750394404c8190b", "kernel_id": "30003"}, {"ref": "syroejka/prudential-xgboost", "kernel_id": "30087"}, {"ref": "syroejka/notebook-a3cbcbdc4f8e4cf2fd93", "kernel_id": "30290"}, {"ref": "syroejka/prudential-new", "kernel_id": "30292"}, {"ref": "syroejka/notebook-1ef2b6faad883542e2a3", "kernel_id": "30294"}, {"ref": "syroejka/notebook-a04e851b16585d7be27a", "kernel_id": "31036"}, {"ref": "walterhan/notebook-79acc402f2bcebb8bd21", "kernel_id": "31157"}, {"ref": "csshuo/notebook-a34fe09699b12e3f121b", "kernel_id": "30695"}, {"ref": "nikitaraj/journey-through-prudential", "kernel_id": "30629"}, {"ref": "nikitaraj/notebook-2d59c45aa8149c9264c0", "kernel_id": "30382"}, {"ref": "nikitaraj/notebook-7ecc147cba7ca55a32f7", "kernel_id": "30806"}, {"ref": "mf1533018/printinput", "kernel_id": "30394"}, {"ref": "mf1533018/notebook-a162fa656a0c2f780aad", "kernel_id": "30396"}, {"ref": "humble10g/notebook-35b5c77950b66d372889", "kernel_id": "30425"}, {"ref": "assignment/notebook-673a3ae0a7700f99dfc0", "kernel_id": "32500"}, {"ref": "mg1533053/notebook-331500cb45141e7e70c6", "kernel_id": "32790"}, {"ref": "mg1533053/notebook-0f8bfd9d3651c3ada437", "kernel_id": "32777"}, {"ref": "qiufengyu/notebook-6943acbe313b4678ddcc", "kernel_id": "32516"}, {"ref": "leftwind17/notebook-18a76d1e48d3769b38a1", "kernel_id": "30705"}, {"ref": "leftwind17/test1", "kernel_id": "30706"}, {"ref": "pirista/notebook-1f3a9856f786e6310467", "kernel_id": "30739"}, {"ref": "luckier/notebook-aed9ae639aeb4cd2f62a", "kernel_id": "31126"}, {"ref": "jupitermh/notebook-1cd2655c66e23831cc04", "kernel_id": "31096"}, {"ref": "blodside/xgb-offset0501", "kernel_id": "32610"}, {"ref": "pseudo/notebook-3cceb9ac50e21a3907d7", "kernel_id": "31192"}, {"ref": "pseudo/notebook-5875b2ab89cfa7e7437a", "kernel_id": "31193"}, {"ref": "nanalovemilk/notebook-c68cb938c830dbbe3123", "kernel_id": "32737"}, {"ref": "nanalovemilk/for-test", "kernel_id": "32738"}, {"ref": "windgwt/script", "kernel_id": "31259"}, {"ref": "windgwt/notebook-777b583edf59bf905271", "kernel_id": "31260"}, {"ref": "kandru/use-the-mlr-package-scores-0-649", "kernel_id": "31342"}, {"ref": "alexanderyau/notebook-810403aa2a257b645cd4", "kernel_id": "31487"}, {"ref": "blueflower/xgb-offset0501", "kernel_id": "32751"}, {"ref": "fraudinvestigator/prudential-insurance-risk-predictions", "kernel_id": "31864"}, {"ref": "miannelli/notebook-735e1aeff197ee009def", "kernel_id": "31865"}, {"ref": "junsbaby/notebook-ce747656f6e65ad2ae99", "kernel_id": "33865"}, {"ref": "stijn545/testscript", "kernel_id": "32684"}, {"ref": "alanhamid/notebook-b8737c6d09260910b9b0", "kernel_id": "32292"}, {"ref": "sarems/notebook-ae4a67b2e9ac28eea394", "kernel_id": "35407"}, {"ref": "mg1533089/adfse", "kernel_id": "32178"}, {"ref": "mg1533089/notebook-344eb168ec00af830c4c", "kernel_id": "32179"}, {"ref": "shijunshuai/use-the-mlr-package-scores-0-649", "kernel_id": "32325"}, {"ref": "timlincool/notebook-22f4683fe2ff20121245", "kernel_id": "39146"}, {"ref": "timlincool/notebook-d514735d1b791f7d0ec6", "kernel_id": "34706"}, {"ref": "timlincool/notebook-b604dbaddc270943c38c", "kernel_id": "34666"}, {"ref": "timlincool/testtest", "kernel_id": "34667"}, {"ref": "timlincool/scrrript", "kernel_id": "34668"}, {"ref": "kaggle191/notebook-953d9ae4717309f18f3f", "kernel_id": "33109"}, {"ref": "itanch/notebook-17c8cf19cbd2bdbf27c7", "kernel_id": "32369"}, {"ref": "jiaqianqian/notebook-6a9056e7324ce712bf3b", "kernel_id": "32433"}, {"ref": "danchow/notebook-14c30abd94e0aed1eeff", "kernel_id": "32446"}, {"ref": "mg1533060/notebook-ba082f62676d544819dc", "kernel_id": "32612"}, {"ref": "mg1533060/mg1533060", "kernel_id": "32615"}, {"ref": "x016872/dave-test", "kernel_id": "32508"}, {"ref": "shr808/my-caret-cv", "kernel_id": "33403"}, {"ref": "cramosu/notebook-bfeae0d68b32740a4be4", "kernel_id": "33176"}, {"ref": "cramosu/notebook-8f3441f34674018ba219", "kernel_id": "33177"}, {"ref": "yhjung/notebook-fc0e4ef6f116e4626493", "kernel_id": "32744"}, {"ref": "mf1533040/notebook-3f0c96a75010a0987391", "kernel_id": "32788"}, {"ref": "zsf222/xgb-offset0501", "kernel_id": "32812"}, {"ref": "zsf222/use-the-mlr-package-scores-0-649", "kernel_id": "32813"}, {"ref": "zsf222/notebook-38ed63d6c5f56a2d5816", "kernel_id": "32814"}, {"ref": "polop973/testtest", "kernel_id": "35554"}, {"ref": "tonyhong272/linear-model-0-65-in-lb", "kernel_id": "37745"}, {"ref": "hanaee/notebook-d3c702d6deccdefb4627", "kernel_id": "33291"}, {"ref": "avhsiva/xgboost-example-0-61249", "kernel_id": "37548"}, {"ref": "pballard/notebook-5047849a6798e30b2af0", "kernel_id": "33630"}, {"ref": "raiever/notebook6cdb78a630", "kernel_id": "105315"}, {"ref": "rafalsocha/notebook-5f687713ae78c50a3bce", "kernel_id": "33829"}, {"ref": "anokas/notebook-1d760378e03fec0bb74d", "kernel_id": "37289"}, {"ref": "vikrambhatt/vikram", "kernel_id": "33893"}, {"ref": "amarnathayyadurai/notebook-6a528a54b45f4079a147", "kernel_id": "34276"}, {"ref": "director/test-prudential", "kernel_id": "35373"}, {"ref": "director/simple-rn", "kernel_id": "35566"}, {"ref": "sergiorivera/xgbser", "kernel_id": "37357"}, {"ref": "xalamine/notebook411568c260", "kernel_id": "95595"}, {"ref": "ybrumer/notebook-7fc4944d1edda15f2202", "kernel_id": "34333"}, {"ref": "ybrumer/notebook-53a649e605dde3869d43", "kernel_id": "34585"}, {"ref": "brightenlx/prudential", "kernel_id": "38912"}, {"ref": "porcej/xgb-attempt-1", "kernel_id": "38605"}, {"ref": "yunhee/notebook-1e038d5c9d5852efd6be", "kernel_id": "67447"}, {"ref": "smortazavi/notebook-4ada0082941da1fe6ffa", "kernel_id": "34815"}, {"ref": "dssrec/get-train", "kernel_id": "35700"}, {"ref": "dssrec/get-test2", "kernel_id": "35702"}, {"ref": "sunlightplus/notebook-ed47b3625fb412969a3e", "kernel_id": "35896"}, {"ref": "gohilankit/notebook9449e8b56b", "kernel_id": "120940"}, {"ref": "felix6666/notebook-d178d4c47a5b98b197f7", "kernel_id": "35441"}, {"ref": "felix6666/jc-test", "kernel_id": "35442"}, {"ref": "felix6666/notebook-99c2cc2a694210275776", "kernel_id": "35438"}, {"ref": "justinabel/prud-1", "kernel_id": "35564"}, {"ref": "klueless/python-dry-run", "kernel_id": "37370"}, {"ref": "tabris1103/notebook-5f550d47c38ae193efb9", "kernel_id": "36238"}, {"ref": "trzzzz/notebook-5bce91cc001cc7329265", "kernel_id": "36736"}, {"ref": "velpula69/sampl", "kernel_id": "37553"}, {"ref": "maxmaeteling/prudential-test", "kernel_id": "37614"}, {"ref": "ma350365879/notebook-e269dee25cd898d9bb4e", "kernel_id": "37701"}, {"ref": "excsell/notebook-9f1f56e847881598679e", "kernel_id": "37834"}, {"ref": "excsell/notebook-ee7b3665cdf96a327d91", "kernel_id": "37820"}, {"ref": "excsell/notebook-ce4f171089a89b4added", "kernel_id": "37822"}, {"ref": "excsell/explore", "kernel_id": "37826"}, {"ref": "excsell/notebook-8bc6e5c5b58b10972e79", "kernel_id": "37828"}, {"ref": "ericjiang/notebook-b088463ba5321e070829", "kernel_id": "38234"}, {"ref": "emily2016/xgboost-with-optimized-offsets", "kernel_id": "164720"}, {"ref": "mlgupta/notebook-877ba2daf30723d671dd", "kernel_id": "38608"}, {"ref": "jlgranda/exploring-the-data", "kernel_id": "78260"}, {"ref": "jlgranda/prudential-visualization", "kernel_id": "80681"}, {"ref": "jlgranda/notebook-0ccffccb83dd2cbd1a86", "kernel_id": "83892"}, {"ref": "jlgranda/notebookc30ce6fdf9", "kernel_id": "86128"}, {"ref": "hiteck/test1", "kernel_id": "69913"}, {"ref": "jihyeseo/prudential-regression-eda-128-var-most-continuous", "kernel_id": "957151"}, {"ref": "mhauptmann/notebookf5bdcb46a7", "kernel_id": "87943"}, {"ref": "zhaoxiugao/notebook-53d05ae70ecb74d6c7d0", "kernel_id": "48994"}, {"ref": "zhaoxiugao/notebook-d82db060da7cbda29990", "kernel_id": "48995"}, {"ref": "hitfishking/dong1", "kernel_id": "49009"}, {"ref": "hitfishking/notebook-42bdda17d610464478d1", "kernel_id": "49011"}, {"ref": "guyweiss/check-prudential", "kernel_id": "51632"}, {"ref": "chbimo/hello-world", "kernel_id": "110664"}, {"ref": "startakovsky/notebookd7ce6beb33", "kernel_id": "118990"}, {"ref": "dqq077qiqiduan/notebook-732be80aa0e81db892a3", "kernel_id": "65585"}, {"ref": "cdhawan/fun123", "kernel_id": "70691"}, {"ref": "cdhawan/notebook-b603d806f2af8c9d4852", "kernel_id": "70693"}, {"ref": "jinger123/prudential-insurance-risk-predictions", "kernel_id": "145226"}, {"ref": "lihongqiang/notebook3b8285c990", "kernel_id": "92744"}, {"ref": "zhangj5/notebookbdb0e5cf4f", "kernel_id": "236093"}, {"ref": "algoai/notebook444b792f53", "kernel_id": "88453"}, {"ref": "kouheinish/notebook1406d4d5f1", "kernel_id": "91736"}, {"ref": "selene0622/notebook7c3a92bc04", "kernel_id": "100296"}, {"ref": "alangham/notebookdbfe9e0662", "kernel_id": "142990"}, {"ref": "rkorrap1/rf-features-importances", "kernel_id": "112273"}, {"ref": "codewatson/prudential-insurance-risk-predictions", "kernel_id": "109778"}, {"ref": "atifhalim/tester", "kernel_id": "114718"}, {"ref": "atifhalim/notebookaec5ecb5a2", "kernel_id": "114719"}, {"ref": "thunderbelly/notebook2d5d0f2453", "kernel_id": "141449"}, {"ref": "chendan08/xgboost-with-optimized-offsets", "kernel_id": "154372"}, {"ref": "bonniegu/notebookaf8442ffac", "kernel_id": "132557"}, {"ref": "kamikaze78/notebook2f0f05c09c", "kernel_id": "137017"}, {"ref": "tundraman/pca-gmm-clustering", "kernel_id": "551715"}, {"ref": "tundraman/mice-imputation", "kernel_id": "511968"}, {"ref": "tundraman/eda-post-imputation-with-principal-components", "kernel_id": "504933"}, {"ref": "bhuppy/eda-with-markdown-report-generation", "kernel_id": "286842"}, {"ref": "samsum/notebook375abc293e", "kernel_id": "201562"}, {"ref": "yunc84/notebook4a94c794d2", "kernel_id": "152808"}, {"ref": "yunc84/notebook0cd3d80df2", "kernel_id": "152813"}, {"ref": "kperry/notebook4740d70b8a", "kernel_id": "146318"}, {"ref": "nimishr/prudential-insurance-risk-predictions", "kernel_id": "167140"}, {"ref": "saratmuppana/notebook006c09e556", "kernel_id": "152645"}, {"ref": "simoneludwig/notebook9b73a0ac08", "kernel_id": "173611"}, {"ref": "simoneludwig/notebook8a0d52deff", "kernel_id": "172892"}, {"ref": "shaigabduragimov/prudentiallifeinsurance", "kernel_id": "178934"}, {"ref": "chiranjib1979/prudential", "kernel_id": "203809"}, {"ref": "keyoor20/h2o-starter-script", "kernel_id": "260213"}, {"ref": "peteryun/first-prudential", "kernel_id": "230020"}, {"ref": "abhishek1singh/notebookcb455fd6be", "kernel_id": "248186"}, {"ref": "jacobxieyuan/notebook942441d343", "kernel_id": "251273"}, {"ref": "rohinikram1/analysis-of-data-using-xgboost", "kernel_id": "310509"}, {"ref": "lianghn/classification-solution-prudential-assurance-level", "kernel_id": "359049"}, {"ref": "ashwiniprakash/life-insurance-assesment", "kernel_id": "1268821"}, {"ref": "pahadia/xgboost-with-optimized-offsets", "kernel_id": "2173180"}, {"ref": "steve7an/prudential-xgb-boost-in-r-score-0-62377", "kernel_id": "3027570"}, {"ref": "akhilyeduresi/life-insurance-risk-assessment", "kernel_id": "3680339"}, {"ref": "atriptoparadise/prudential-life-insurance-assessment-with-xgb-demo", "kernel_id": "3810690"}, {"ref": "pallavirana/insurance", "kernel_id": "4010106"}, {"ref": "pallavirana/prudentialvisualisation", "kernel_id": "4010674"}, {"ref": "abhikjha/prudential-life-assessment-fastai", "kernel_id": "5264931"}, {"ref": "sachin88/kernel239ebf5e5f", "kernel_id": "6538408"}, {"ref": "vignesh1609/prudential-life-insurance-eda", "kernel_id": "6018299"}, {"ref": "mehtanaman/kernel-naman-insurance", "kernel_id": "6183142"}, {"ref": "shoichisawada/svm-randomforest-and-dnn", "kernel_id": "6834880"}, {"ref": "prashantch83/kernel379a0b003e", "kernel_id": "7001021"}, {"ref": "etugoluk/predict-insurance-level", "kernel_id": "8048459"}, {"ref": "kkhuiaa/feature-selection-notebook", "kernel_id": "11871971"}, {"ref": "altersystem/my-classification", "kernel_id": "12631841"}, {"ref": "alexdarge/approche-bay-sienne", "kernel_id": "12146362"}, {"ref": "alexdarge/modele-pr-dictif", "kernel_id": "12683504"}, {"ref": "hiro1005/prudential-life-insurance-assessment", "kernel_id": "12061885"}, {"ref": "alexdarge/fork-of-modele-pr-dictif", "kernel_id": "13236422"}, {"ref": "sungminsim/prudential-risk-classification", "kernel_id": "13720484"}, {"ref": "krishanubera/annova-and-isolationforest", "kernel_id": "20214528"}, {"ref": "fahadmehfoooz/classification-with-model-interpretation", "kernel_id": "20809546"}, {"ref": "pathanamjadkhan/logloss-precesion-roc-recall-classification-90", "kernel_id": "21237708"}, {"ref": "kayhanbehdin/notebook", "kernel_id": "23850764"}, {"ref": "jayahn0104/ordinal-classification-tune-sklearn-skorch", "kernel_id": "25270417"}, {"ref": "karansarpal/machine-learning-for-risk-classification-ks", "kernel_id": "28579204"}, {"ref": "prabhatchowdhary/notebook-prudential", "kernel_id": "31300054"}, {"ref": "manishkhati28/prudentialbyme", "kernel_id": "33763143"}, {"ref": "manishkhati28/prudential-by-manish", "kernel_id": "33787592"}, {"ref": "narenmanikandan07/life-insurance-demo", "kernel_id": "36532127"}, {"ref": "jaison14/life-insurance-risk-classification", "kernel_id": "40139838"}, {"ref": "abdullahw72/prudential-life-insurance-random-forest", "kernel_id": "40256749"}, {"ref": "uohccy/pru-life-insurance-assessment", "kernel_id": "40075349"}, {"ref": "kanishksaxena1812/prud-life", "kernel_id": "40759238"}, {"ref": "czarpluto/prudential-life-insurance", "kernel_id": "41447522"}, {"ref": "ithesisart/prudential-life-insurance-assessment-edaml", "kernel_id": "42567003"}, {"ref": "rfarid1/prediction-life-insurance-level", "kernel_id": "42980751"}, {"ref": "phylliswanjikugitu/streamlining-life-insurance-applications", "kernel_id": "44031230"}, {"ref": "rfarid1/insurance-level-nw", "kernel_id": "46749061"}, {"ref": "phanhv/giua-ky", "kernel_id": "49443842"}, {"ref": "nemanjagojkovic/comparing-ensemble-algorithms", "kernel_id": "50503170"}, {"ref": "aashimakathuria/underwriter-new", "kernel_id": "53719964"}, {"ref": "w49m4t/mat-ai-wg", "kernel_id": "57196628"}, {"ref": "ssyyhh/eda-of-insurance-with-prediction-of-response", "kernel_id": "58149415"}, {"ref": "akathuria07/underwriter-new", "kernel_id": "60981994"}, {"ref": "casalicchio/use-the-mlr3-package", "kernel_id": "62352145"}, {"ref": "akathuria07/underwriter-for-demo", "kernel_id": "69986709"}, {"ref": "sayedsalem/eda-visualization-feature-selection-catboost-used", "kernel_id": "78215394"}, {"ref": "phamhuyen286/prudential-life-insurance-risk-prediction", "kernel_id": "80292085"}, {"ref": "tajmafrancis/policypredict-ml-for-underwriting-decisions", "kernel_id": "91772726"}, {"ref": "vladimirpopov101/lightautoml-course-project", "kernel_id": "104391482"}, {"ref": "leontenkovegor/notebook35f8677535", "kernel_id": "112043584"}, {"ref": "bellrose/prudential-life-insurance-project-jungminlee", "kernel_id": "124696377"}]}
{"competition_id": "4704", "kernels": [{"ref": "alexxanderlarko/sample1412", "kernel_id": "29206"}, {"ref": "alexxanderlarko/you-ll-shoot-your-eye-out-kid-1412", "kernel_id": "29198"}, {"ref": "benhamner/list-input-files-2", "kernel_id": "24792"}, {"ref": "tjohnson314/notebook-8055ed30b00de0a955ce", "kernel_id": "29633"}, {"ref": "olivetti/notebook-44f44715bab594407e6d", "kernel_id": "29022"}, {"ref": "olivetti/computing-weighted-reindeer-weariness", "kernel_id": "29024"}, {"ref": "cleerline/notebook-7662003e7e108937879e", "kernel_id": "30032"}, {"ref": "cleerline/notebook-9a32fb33a7bdaa2f4a68", "kernel_id": "30034"}, {"ref": "cleerline/notebook-86b90740bac9cddee564", "kernel_id": "30041"}, {"ref": "cleerline/notebook-5504550744b95bce2224", "kernel_id": "30039"}, {"ref": "cleerline/notebook-21e55d3f40fa7382fb3a", "kernel_id": "29428"}, {"ref": "cleerline/computing-weighted-reindeer-weariness", "kernel_id": "29407"}, {"ref": "cleerline/first-effort", "kernel_id": "29409"}, {"ref": "cleerline/attempt-2", "kernel_id": "29420"}, {"ref": "cleerline/notebook-cc796e4201a78d2e0fdc", "kernel_id": "29733"}, {"ref": "gweissman/notebook-55043f56f8e7fde854da", "kernel_id": "29156"}, {"ref": "slideroolz/notebook-afd516f8587b0d3702a2", "kernel_id": "27014"}, {"ref": "chipmonkey/btb-143", "kernel_id": "27224"}, {"ref": "optimizer/notebook-0c37bb306b43447e0d4a", "kernel_id": "28487"}, {"ref": "mattvonrohr/notebook-6b456ee564d6c6bcab34", "kernel_id": "29068"}, {"ref": "mattvonrohr/notebook-1a24003df7a192f6eff8", "kernel_id": "28985"}, {"ref": "mattvonrohr/notebook-fa4efcedf0008077b44a", "kernel_id": "29059"}, {"ref": "kproductivity/testing-hierarchical-clustering", "kernel_id": "29865"}, {"ref": "kproductivity/more-kmeans", "kernel_id": "30412"}, {"ref": "michael23/computing-weighted-reindeer-weariness", "kernel_id": "29693"}, {"ref": "frosklis/notebook-38f05ed96de66c8c391f", "kernel_id": "31090"}, {"ref": "frosklis/notebook-751a4f6163c29f827c79", "kernel_id": "31091"}, {"ref": "frosklis/testing", "kernel_id": "31092"}, {"ref": "lujing/notebook-101881a5b20b4f508c54", "kernel_id": "27160"}, {"ref": "stochastic/santa-exploration", "kernel_id": "30452"}, {"ref": "nigelcarpenter/playing-with-ysyeok", "kernel_id": "30299"}, {"ref": "nigelcarpenter/you-ll-shoot-your-eye-out-kid", "kernel_id": "29092"}, {"ref": "nigelcarpenter/nearest-neighbours", "kernel_id": "26979"}, {"ref": "nigelcarpenter/santa-exploration", "kernel_id": "27028"}, {"ref": "invinciblejha/notebook-36226ac64b46f7d016da", "kernel_id": "28209"}, {"ref": "invinciblejha/notebook-f7ede4c1a0de901ac2cb", "kernel_id": "28210"}, {"ref": "gaborfodor/you-ll-shoot-your-eye-out-kid", "kernel_id": "28506"}, {"ref": "n3n77i/northern-urn", "kernel_id": "30131"}, {"ref": "soates/notebook-79b16016a443f720872d", "kernel_id": "26786"}, {"ref": "dskumar/notebook-37f4d8320676d512b26d", "kernel_id": "29944"}, {"ref": "nimisis/notebook-773e7d47772490de3f97", "kernel_id": "30993"}, {"ref": "pythia/notebook-9c03ac9de111f7e721e8", "kernel_id": "28475"}, {"ref": "stuartnickols/phaedrus-weighted-reindeer-weariness", "kernel_id": "31172"}, {"ref": "stuartnickols/computing-weighted-reindeer-weariness", "kernel_id": "31169"}, {"ref": "paweljankiewicz/computing-weighted-reindeer-weariness", "kernel_id": "27233"}, {"ref": "anotherspork/notebook-da030ff75b2d06192931", "kernel_id": "31030"}, {"ref": "indigo/notebook-2055e8dc7ec6bf2e2175", "kernel_id": "29983"}, {"ref": "stephanmeyn/notebook-ec256b7b3b3144d70af1", "kernel_id": "29784"}, {"ref": "stephanmeyn/notebook-bbc631ee70940ee9cd69", "kernel_id": "29785"}, {"ref": "nileshkadam/notebook-b90102d8d3ce2260e2a6", "kernel_id": "27920"}, {"ref": "spikingneurons/notebook-f8e91c2cc781599542c7", "kernel_id": "31200"}, {"ref": "spikingneurons/notebook-bda0ceb8a865faea87d1", "kernel_id": "31228"}, {"ref": "lavinei/santa", "kernel_id": "30589"}, {"ref": "lavinei/notebook-3e760fc30ae3d4e9a645", "kernel_id": "30591"}, {"ref": "wendykan/computing-weighted-reindeer-weariness", "kernel_id": "26808"}, {"ref": "thomaspeel/computing-weighted-reindeer-weariness", "kernel_id": "30761"}, {"ref": "jcborras/you-ll-shoot-your-eye-out-kid", "kernel_id": "29814"}, {"ref": "jcborras/foofoo", "kernel_id": "29816"}, {"ref": "thakurrajanand/testing-evaluation", "kernel_id": "26820"}, {"ref": "thakurrajanand/testing-4", "kernel_id": "27315"}, {"ref": "thakurrajanand/beat-the-benchmark-14358424217", "kernel_id": "27150"}, {"ref": "joostvd/notebook-c300c7cde5ce7ebc53fa", "kernel_id": "28326"}, {"ref": "liamsch/visualizing-your-submission-in-3d", "kernel_id": "30747"}, {"ref": "dvelkov/notebook-6d75ea0b90e4b6f67e95", "kernel_id": "29129"}, {"ref": "killfox/notebook-abffbf0894a93970cdb8", "kernel_id": "30376"}, {"ref": "satropy/notebook-01af252bbb18ee4358e0", "kernel_id": "29109"}, {"ref": "hrishikeshvganu/notebook-7d01c138bd1e1d27177a", "kernel_id": "27778"}, {"ref": "becky1166/notebook-9328b26789016a88ea3b", "kernel_id": "27505"}, {"ref": "derekhunter/notebook-f85c2f5a1f8d76b24763", "kernel_id": "29564"}, {"ref": "sebastialonso/notebook-c8d302f94a09e155085f", "kernel_id": "29682"}, {"ref": "clustifier/error-in-tester-code", "kernel_id": "27123"}, {"ref": "stouzani/btb-sszdx", "kernel_id": "31037"}, {"ref": "lolliedieb/notebook-d10f3bac39e5843324bb", "kernel_id": "30659"}, {"ref": "lolliedieb/notebook-c5821141b0ac046812fd", "kernel_id": "30660"}, {"ref": "lolliedieb/notebook-9e6b51a0a83440585796", "kernel_id": "30661"}, {"ref": "katieleung/santa2015-v1", "kernel_id": "27964"}, {"ref": "bakiev/notebook-caeb7ef5ab96cbe90c1e", "kernel_id": "31388"}, {"ref": "aakansh9/notebook-53bd4aa693698948ec05", "kernel_id": "27166"}, {"ref": "mbkg85/notebook-db06ee2a7c2b86aa0294", "kernel_id": "28871"}, {"ref": "ngoyal2707/notebook-d693daf9ab389eb90889", "kernel_id": "27188"}, {"ref": "svenrahmann/true-lower-bound", "kernel_id": "29430"}, {"ref": "svenrahmann/cost-of-one-trip-per-gift", "kernel_id": "29490"}, {"ref": "ginotesei/mapping-weight-density", "kernel_id": "30119"}, {"ref": "ginotesei/mapping-gift-frequency", "kernel_id": "30192"}, {"ref": "siamimohammad/notebook-6c237b980f496e2055b0", "kernel_id": "27677"}, {"ref": "siamimohammad/notebook-ced778b0323679ca7d97", "kernel_id": "27678"}, {"ref": "deeper/notebook-dcf32d6055ae6d0ca34d", "kernel_id": "27390"}, {"ref": "chrisboesch/jupyter-practice", "kernel_id": "28890"}, {"ref": "jronin/notebook-3ece65a2bd3ec9690d42", "kernel_id": "27703"}, {"ref": "tomomotofactory/notebook-41ca72177d63a3095195", "kernel_id": "30391"}, {"ref": "coderzombie/btb-sszdx", "kernel_id": "30262"}, {"ref": "nooreen/you-ll-shoot-your-eye-out-kid", "kernel_id": "30830"}, {"ref": "nooreen/santa-scratchpad", "kernel_id": "30832"}, {"ref": "ltspacemonkey/notebook-e3fb957c68f2181df067", "kernel_id": "30742"}, {"ref": "ltspacemonkey/you-ll-shoot-your-eye-out-kid-2", "kernel_id": "30744"}, {"ref": "savioz/testsavioz", "kernel_id": "28952"}, {"ref": "davidshinn/where-are-all-the-gifts", "kernel_id": "26795"}, {"ref": "yekrut/notebook-d615b7782e1eeacd2da7", "kernel_id": "27731"}, {"ref": "kaysuh/notebook-7534293c784f4226b176", "kernel_id": "27334"}, {"ref": "michaelkelley/notebook-aa515c5493a9214f5bce", "kernel_id": "29403"}, {"ref": "su30mki/notebook-bda8071f6f49071ccb5c", "kernel_id": "30783"}, {"ref": "akashin/notebook-20ec6c01fc9d68f43bbf", "kernel_id": "27651"}, {"ref": "ilyaaln/notebook-f484598f109a680ef7be", "kernel_id": "32948"}, {"ref": "jbwhitmore/notebook-87511c130ce67ffaa6eb", "kernel_id": "28894"}, {"ref": "briantcs/notebook-e95d00315f8ccfb8cef0", "kernel_id": "30359"}, {"ref": "briantcs/santas", "kernel_id": "30360"}, {"ref": "briantcs/notebook-fce81340adc7e7bbb1ba", "kernel_id": "28681"}, {"ref": "briantcs/abcde", "kernel_id": "28682"}, {"ref": "briantcs/notebook-b05dabcdf81253efede3", "kernel_id": "28683"}, {"ref": "lalits/notebook-62c951e5fee8611e8260", "kernel_id": "27037"}, {"ref": "mconway/notebook-16636277234f93e85808", "kernel_id": "30887"}, {"ref": "jeehyunkim/you-ll-shoot-your-eye-out-kid", "kernel_id": "31080"}, {"ref": "howlingguineapig/notebook-40e5997aac3f35f81c4a", "kernel_id": "30559"}, {"ref": "safyan/notebook-ce9c26d94542511a0fbd", "kernel_id": "29623"}, {"ref": "safyan/santa", "kernel_id": "29624"}, {"ref": "safyan/notebook-ce1f6bb98982a2432816", "kernel_id": "29625"}, {"ref": "mlanciau/notebook-42a4484701204c4f2c7f", "kernel_id": "28963"}, {"ref": "marekcygan/visualizing-your-submission-in-3d", "kernel_id": "45411"}, {"ref": "goodok/notebook-75b5615cfe0bdbf9c052", "kernel_id": "28959"}, {"ref": "richardwu/computing-weighted-reindeer-weariness", "kernel_id": "27714"}, {"ref": "richardwu/notebook-84d1e3ad0eb156079230", "kernel_id": "27717"}, {"ref": "clarkdjilo/notebook-76fbe9a87961dcf93dfc", "kernel_id": "29016"}, {"ref": "clarkdjilo/notebook-1d0a56e83fb097ec77ff", "kernel_id": "29017"}, {"ref": "clarkdjilo/test1", "kernel_id": "29013"}, {"ref": "goodtry/test1", "kernel_id": "31661"}, {"ref": "ainu77/notebook-693a95c3613d57477399", "kernel_id": "29551"}, {"ref": "satrajitghosh/test-notebook", "kernel_id": "28887"}, {"ref": "satrajitghosh/notebook-494da63849201971d36b", "kernel_id": "28883"}, {"ref": "satrajitghosh/test-env", "kernel_id": "28884"}, {"ref": "sushize/btb-143", "kernel_id": "27174"}, {"ref": "sushize/a-brute-approach-aka-s-ggo", "kernel_id": "30727"}, {"ref": "sushize/btb-ssz", "kernel_id": "29485"}, {"ref": "sushize/btb-python126", "kernel_id": "28275"}, {"ref": "agarwalprabal/notebook-796a69b473b19c25c821", "kernel_id": "29247"}, {"ref": "bcpmaxx/notebook-169b1e194140fc0ce249", "kernel_id": "31601"}, {"ref": "stenbein/notebook-dea359e5699a841a7daf", "kernel_id": "31226"}, {"ref": "stenbein/notebook-2cc70b95f11dd0b1aa2d", "kernel_id": "30877"}, {"ref": "andreisun/you-ll-shoot-your-eye-out-kid", "kernel_id": "31774"}, {"ref": "dougneedham/centroid", "kernel_id": "26923"}, {"ref": "kritika19/computing-weighted-reindeer-weariness", "kernel_id": "28508"}, {"ref": "kritika19/notebook-e9e3eabe4f7410dfda00", "kernel_id": "28510"}, {"ref": "republic966/beat-the-benchmark-14358424217", "kernel_id": "31067"}, {"ref": "jamesdlawrence/happy-christmas", "kernel_id": "26862"}, {"ref": "liweilin/notebook-020bd6facf547eddbd39", "kernel_id": "31478"}, {"ref": "liweilin/notebook-e1963888d8c98397acae", "kernel_id": "31407"}, {"ref": "liweilin/notebook-4dc8d57267e0f5d41d8c", "kernel_id": "31399"}, {"ref": "vasanthkalingeri/a-brute-approach-aka-s-ggo", "kernel_id": "30555"}, {"ref": "toshikuga/notebook-cac1369d641dcdd4286a", "kernel_id": "29039"}, {"ref": "sergeylebedev/bencmark2-r", "kernel_id": "28711"}, {"ref": "sergeylebedev/notebook-59c5a80c3a34e34e0b48", "kernel_id": "28316"}, {"ref": "sergeylebedev/benchmark-r", "kernel_id": "28317"}, {"ref": "sergeylebedev/notebook-7f17de32165d30711db3", "kernel_id": "30252"}, {"ref": "ampilog/computing-weighted-reindeer-weariness", "kernel_id": "29262"}, {"ref": "ampilog/notebook-454f46de82ce6f60b502", "kernel_id": "29263"}, {"ref": "onidzelskyi/notebook-e9d32e9760781e91ef8a", "kernel_id": "28921"}, {"ref": "mihaskalic/notebook-a38e4c7e30a85f037402", "kernel_id": "27106"}, {"ref": "erinoliver/notebook-798d26a1d70b6cda2106", "kernel_id": "30276"}, {"ref": "adornes/notebook-d05c615015b632bd272e", "kernel_id": "28403"}, {"ref": "hudgeon/notebook-007b5d74e55e9e13288b", "kernel_id": "28893"}, {"ref": "hudgeon/tester", "kernel_id": "28896"}, {"ref": "hudgeon/testers", "kernel_id": "28898"}, {"ref": "mizars/notebook-ea545241b0e6792259d5", "kernel_id": "29825"}, {"ref": "yuznik/btb-sszdx", "kernel_id": "31872"}, {"ref": "madcap/you-ll-shoot-your-eye-out-kid-r-ver", "kernel_id": "28723"}, {"ref": "vishnusreekumar/beat-the-benchmark-14358424217", "kernel_id": "28649"}, {"ref": "dhanesh123us/you-ll-shoot-your-eye-out-kid", "kernel_id": "31010"}, {"ref": "kgjkgj/btb-lat-sort", "kernel_id": "28100"}, {"ref": "lplewa/gifts-distribution-by-weight", "kernel_id": "27227"}, {"ref": "chonnakan/santa-stolen-sleigh", "kernel_id": "29303"}, {"ref": "szhu007/notebook-40f9b8e299f7d16dd40e", "kernel_id": "30622"}, {"ref": "szhu007/notebook-2850b7b0767cc23d1e31", "kernel_id": "29014"}, {"ref": "szhu007/notebook-001fc75b4a47c8f94322", "kernel_id": "29015"}, {"ref": "alexgecontrol/notebook-01a567582e817747eb13", "kernel_id": "28904"}, {"ref": "motaharnaim/notebook-6472536e53768ec51854", "kernel_id": "30940"}, {"ref": "benyuwang/btb-sszdx", "kernel_id": "31707"}, {"ref": "benyuwang/computing-weighted-reindeer-weariness", "kernel_id": "31715"}, {"ref": "joosthvanderlinden/notebook-36691949e0e76e5697fe", "kernel_id": "29126"}, {"ref": "u90nu8/notebook-87ab948da6846391a5bd", "kernel_id": "31076"}, {"ref": "krasin/notebook-cb3051a82b9ec6304f1d", "kernel_id": "29333"}, {"ref": "codebender/btb-ssz", "kernel_id": "29950"}, {"ref": "codebender/you-ll-shoot-your-eye-out-kid", "kernel_id": "29069"}, {"ref": "jdglick/notebook-7a60c67deb39b0947f74", "kernel_id": "29725"}, {"ref": "itachiuchiha1729/notebook-59d47c0ba4969f0e6177", "kernel_id": "46874"}, {"ref": "suhanishorewala/notebook-a879822a7b61128726a8", "kernel_id": "29638"}, {"ref": "rjshanahan/trial1", "kernel_id": "28857"}, {"ref": "ivanl1/notebook-711cbe3d4ad9af5aae3b", "kernel_id": "28583"}, {"ref": "highlysnow/notebook-1e6155ed436486ec3be0", "kernel_id": "27628"}, {"ref": "highlysnow/notebook-ca122349d8c752377475", "kernel_id": "27626"}, {"ref": "lkosma/notebook-0b313967c1396f0f6eff", "kernel_id": "31114"}, {"ref": "lkosma/visualizing-your-submission-in-3d", "kernel_id": "31138"}, {"ref": "inventology/random-christmas-tree", "kernel_id": "26978"}, {"ref": "faboost/firstnotebook", "kernel_id": "31054"}, {"ref": "errichto/notebook-be87512b28da12b7129b", "kernel_id": "26892"}, {"ref": "kyazuki/btb-sszdx", "kernel_id": "31927"}, {"ref": "davidpozo/notebook-ffaab175954b82a8cd79", "kernel_id": "27756"}, {"ref": "davidpozo/notebook-2054ea12d9863d3f8bc7", "kernel_id": "29527"}, {"ref": "ayushs/notebook-e57abe28aaa9a854a76a", "kernel_id": "27978"}, {"ref": "ayushs/santa-exploration", "kernel_id": "27979"}, {"ref": "ayushs/notebook-4e0103ed88852339ea62", "kernel_id": "27975"}, {"ref": "suhara/notebook-25aa0adaf033af306a2f", "kernel_id": "28786"}, {"ref": "ikbuzsak/notebook-10fcc352fbcd41d7c441", "kernel_id": "27215"}, {"ref": "gte620v/notebook-2c2d88bdc4fe0dd4e8fc", "kernel_id": "29447"}, {"ref": "prithvinambiar/notebook-deb5b1824d7ecb7c6709", "kernel_id": "29330"}, {"ref": "sebda1/tri-bulle-taille-3", "kernel_id": "31295"}, {"ref": "xounox/notebook-dff7415b55af671ebb47", "kernel_id": "29165"}, {"ref": "alexeygruzdev/notebook-55e6e5c77c1832d087b2", "kernel_id": "27796"}, {"ref": "willingc/notebook-335d9127bba477274127", "kernel_id": "29370"}, {"ref": "willingc/notebook-b3798970ed7a24c3e04f", "kernel_id": "29372"}, {"ref": "willingc/deerme", "kernel_id": "29373"}, {"ref": "arvindcr/notebook-af476c3b129fe231d92a", "kernel_id": "28938"}, {"ref": "vishwadil07/notebook-c623ef6d3791b158ddb7", "kernel_id": "38200"}, {"ref": "vishwadil07/notebook-b7e4846819fb0c3b6ad0", "kernel_id": "37685"}, {"ref": "vishwadil07/notebook-b0724e6cc88b834a36dc", "kernel_id": "37682"}, {"ref": "vishwadil07/notebook-acded7bd854820c1b619", "kernel_id": "40581"}, {"ref": "victormanuelpelaez/notebook-37535b8efd0d509efde1", "kernel_id": "27299"}, {"ref": "victormanuelpelaez/notebook-bf03aa53430650b8e3ae", "kernel_id": "29342"}, {"ref": "dataninja/dataninja-1", "kernel_id": "26817"}, {"ref": "justfor/you-ll-shoot-your-eye-out-kid", "kernel_id": "28967"}, {"ref": "justfor/speedup-haversine", "kernel_id": "30352"}, {"ref": "lesaffrea/santa-exploration", "kernel_id": "27235"}, {"ref": "sarangam123/notebook-baf3a8ce0c5991f2b41b", "kernel_id": "31120"}, {"ref": "shawn775/notebook-67db096b5c67a3be5535", "kernel_id": "28449"}, {"ref": "amanzotti/notebook-f29d5bbfb491bb1c327c", "kernel_id": "27262"}, {"ref": "jcassiojr/notebook-00875dee6d76d1af8f04", "kernel_id": "29066"}, {"ref": "innerproduct/piss-poor-heuristic", "kernel_id": "32713"}, {"ref": "innerproduct/my-own-take", "kernel_id": "31796"}, {"ref": "noposition/you-ll-shoot-your-eye-out-kid", "kernel_id": "29552"}, {"ref": "noposition/notebook-bc9deb19709409ce9f34", "kernel_id": "29553"}, {"ref": "alfredplpl/notebook-7d346cf08ee155b8f79f", "kernel_id": "29028"}, {"ref": "duttaroy/northpole", "kernel_id": "30614"}, {"ref": "duttaroy/visualizer", "kernel_id": "31137"}, {"ref": "nicholashartmann/trial", "kernel_id": "29524"}, {"ref": "nicholashartmann/notebook-56983f9239ce78b60cdf", "kernel_id": "29526"}, {"ref": "nicholashartmann/santa-script", "kernel_id": "29548"}, {"ref": "yuvraj/notebook-b8a7df714f597311a468", "kernel_id": "30035"}, {"ref": "mathematiguy/notebook-dd7ad64f8eb0da7f9dc5", "kernel_id": "28970"}, {"ref": "mathematiguy/notebook-eac9c4dc89dfa0c0ece7", "kernel_id": "28971"}, {"ref": "mathematiguy/notebook-e2b577ba09abccac2c43", "kernel_id": "28972"}, {"ref": "hxd1011/cost-function-wrw-in-r-fast-version", "kernel_id": "35236"}, {"ref": "kotomord/lower-bound", "kernel_id": "28281"}, {"ref": "kotomord/meridians", "kernel_id": "27470"}, {"ref": "liuhaoping/notebook-54c8980e1160c56fbae1", "kernel_id": "32963"}, {"ref": "mosquitofrittata/notebook-b1a5e328445b60d50599", "kernel_id": "27583"}, {"ref": "lianglu/notebook-309063c10db8321f1b2e", "kernel_id": "32426"}, {"ref": "mtfall/notebook-2db73f15c0ef45c9312f", "kernel_id": "28415"}, {"ref": "whatsaclassifier/a-brute-approach-aka-s-ggo", "kernel_id": "30769"}, {"ref": "jerrythomas/wanted-to-delve-into-the-visualization", "kernel_id": "37575"}, {"ref": "jerrythomas/notebook-e668c1cd2fc6eec15513", "kernel_id": "29045"}, {"ref": "mfontcada/notebook-f3a3977742622707bb8d", "kernel_id": "28903"}, {"ref": "tomkooij/santa", "kernel_id": "28955"}, {"ref": "youwombat/notebook-35e1c5ea05846a6e891f", "kernel_id": "27482"}, {"ref": "datasj/trymodel", "kernel_id": "27191"}, {"ref": "robforee/notebook-78759f516eb521f11b65", "kernel_id": "29740"}, {"ref": "rsalaschile/rsx1015", "kernel_id": "29619"}, {"ref": "rsalaschile/you-ll-shoot-your-eye-out-kid-v2", "kernel_id": "29546"}, {"ref": "khaledfayed/you-ll-shoot-your-eye-out-kid4", "kernel_id": "29706"}, {"ref": "khaledfayed/you-ll-shoot-your-eye-out-kid1", "kernel_id": "29695"}, {"ref": "khaledfayed/btb-ssz", "kernel_id": "29913"}, {"ref": "khaledfayed/btb-ssz1", "kernel_id": "29915"}, {"ref": "khaledfayed/btb-sszdx", "kernel_id": "30065"}, {"ref": "khaledfayed/btb-143-2", "kernel_id": "28053"}, {"ref": "khaledfayed/you-ll-shoot-your-eye-out-kid", "kernel_id": "28304"}, {"ref": "alexanderbender/notebook-abaeb6392eda9443b371", "kernel_id": "31944"}, {"ref": "juliomariodaza/notebook-01b9d911bf800c468f03", "kernel_id": "30245"}, {"ref": "llcoolnj/notebook-8ded467c814a848aa1d1", "kernel_id": "31596"}, {"ref": "llcoolnj/notebook-9738400645c10e20f31c", "kernel_id": "31593"}, {"ref": "mikerabbat/notebook-7f7f40f41cd3ba1f56b3", "kernel_id": "31605"}, {"ref": "wobiskai/random-christmas-tree", "kernel_id": "27853"}, {"ref": "arturocm/test1", "kernel_id": "29712"}, {"ref": "pthomaid/forked-you-ll-shoot-your-eye-out-kid", "kernel_id": "30900"}, {"ref": "howardliu/notebook-ffafce0c0b36988d42a6", "kernel_id": "29209"}, {"ref": "nicolajkirchhof/notebook-c0cad92e376ded610902", "kernel_id": "30306"}, {"ref": "jyotiislam/notebook-6e8c129dfa36f934fb29", "kernel_id": "30957"}, {"ref": "masahiro/notebook-53d477d577a906196f95", "kernel_id": "29715"}, {"ref": "tharindu99/notebook-a31613f52e8a7ca1047e", "kernel_id": "30067"}, {"ref": "mhw1902/you-ll-shoot-your-eye-out-kid", "kernel_id": "30328"}, {"ref": "mhw1902/beat-the-benchmark-14358424217", "kernel_id": "30344"}, {"ref": "sureshssarda/notebook-de3c9280abe4d6b39be8", "kernel_id": "31738"}, {"ref": "tcspears/notebook-16074ca8ded14fb90154", "kernel_id": "31475"}, {"ref": "tcspears/notebook-5064efa64782e895003f", "kernel_id": "31476"}, {"ref": "ermushev/notebook-7e3c6c4e0f5c81c7b352", "kernel_id": "28862"}, {"ref": "lucianmoldovanu/notebook-9fd429b5ea13b4795f9a", "kernel_id": "27539"}, {"ref": "shamann/notebook-bb6dd8a46b27514e0a1b", "kernel_id": "29536"}, {"ref": "shamann/notebook-547ad4726f2cd3419de4", "kernel_id": "28782"}, {"ref": "shamann/notebook-e3766c060b6c6c40c91c", "kernel_id": "28783"}, {"ref": "shamann/you-ll-shoot-your-eye-out-kid-r-ver", "kernel_id": "28779"}, {"ref": "shamann/btb-sszdx", "kernel_id": "32231"}, {"ref": "rafalpronko/santa", "kernel_id": "29639"}, {"ref": "macleginn/notebook-a31cc1d43c0b048ad7e5", "kernel_id": "29608"}, {"ref": "macleginn/notebook-746489c743d70ce20db7", "kernel_id": "29609"}, {"ref": "nab0571/notebook-b1b6b51ca3da8baf2dfb", "kernel_id": "29087"}, {"ref": "synapticglance/beat-the-benchmark-14358424217", "kernel_id": "28581"}, {"ref": "synapticglance/notebook-add2bef5cfeb5603e257", "kernel_id": "28582"}, {"ref": "zephyrg/notebook-499ce938a245f5897d77", "kernel_id": "30890"}, {"ref": "tyis01/btb-sszdx", "kernel_id": "31666"}, {"ref": "tyis01/notebook-2bd368cb1f713c1059bb", "kernel_id": "31658"}, {"ref": "wlederer/notebook-0f7c9c3289461704635b", "kernel_id": "32539"}, {"ref": "enriquesantos/notebook-58863eb12225adc66863", "kernel_id": "28535"}, {"ref": "hfinger/notebook-637d71e18746b923050d", "kernel_id": "28872"}, {"ref": "hfinger/notebook-5e164ca2a17d73da9663", "kernel_id": "28873"}, {"ref": "jerome77/notebook-e557710c41e112458411", "kernel_id": "30892"}, {"ref": "jerome77/notebook-e67e2853050488f75a80", "kernel_id": "30768"}, {"ref": "icastro/notebook-90cd458616edc4cd2ef2", "kernel_id": "28273"}, {"ref": "icastro/you-ll-shoot-your-eye-out-kid3", "kernel_id": "29245"}, {"ref": "kcchung/hello", "kernel_id": "30215"}, {"ref": "andfor/give-a-answer", "kernel_id": "31867"}, {"ref": "mjolnir/notebook-944563da234fa000142e", "kernel_id": "30122"}, {"ref": "mjolnir/notebook-6d776cfbbb2682693745", "kernel_id": "30124"}, {"ref": "raddar/wrw-metric-in-r", "kernel_id": "26973"}, {"ref": "raddar/beat-the-benchmark-14358424217", "kernel_id": "27373"}, {"ref": "gregoratlarge/you-ll-shoot-your-eye-out-kid", "kernel_id": "29096"}, {"ref": "gregoratlarge/you-ll-shoot-your-eye-out-kid-fork", "kernel_id": "29100"}, {"ref": "lifepreserver/randomjunk001-notebook", "kernel_id": "32467"}, {"ref": "caltroll/notebook-bc187c19599956077d6c", "kernel_id": "31208"}, {"ref": "moeljono/cobakaggle", "kernel_id": "61460"}, {"ref": "tunguz/notebook-a8dc767dc49ef23a144d", "kernel_id": "28911"}, {"ref": "tunguz/notebook-84a8a2b863503473288c", "kernel_id": "28912"}, {"ref": "tunguz/notebook-7c2be40bc4fa44a094df", "kernel_id": "28504"}, {"ref": "tunguz/notebook-ccaeff9c289e7dcde59d", "kernel_id": "28505"}, {"ref": "tunguz/you-ll-shoot-your-eye-out-kid", "kernel_id": "28472"}, {"ref": "tunguz/btb-143-2", "kernel_id": "27530"}, {"ref": "pgurov/fast-santa-s-script-15316005444-46930", "kernel_id": "31778"}, {"ref": "linfanangel/notebook-8b9adfa97aba72aec102", "kernel_id": "31319"}, {"ref": "linfanangel/notebook-32d729055ed420fb1314", "kernel_id": "31320"}, {"ref": "vaerek/notebook-059738ab8db2cbb8f153", "kernel_id": "31891"}, {"ref": "shryano/you-ll-shoot-your-eye-out-kid", "kernel_id": "29541"}, {"ref": "kevinoconnor/notebook-def7f979bd64d9a8deb1", "kernel_id": "28886"}, {"ref": "barca1990/notebook-1a099a6a3e6a5e3c0f68", "kernel_id": "32577"}, {"ref": "williamlucia/santa-s-stolen-sleigh-simple-heuristic", "kernel_id": "28837"}, {"ref": "williamlucia/notebook-c9ed338b05367a87aa58", "kernel_id": "28830"}, {"ref": "sanjayiv/notebook-87329b63400d8eb08177", "kernel_id": "30029"}, {"ref": "anamaria/notebook-2f5c21848e18c42869ff", "kernel_id": "31805"}, {"ref": "sangzshruti/beat-the-benchmark-14358424217", "kernel_id": "30655"}, {"ref": "yuanyepku/notebook-25041aa6095394f3a565", "kernel_id": "31387"}, {"ref": "reneboy/santa-exploration", "kernel_id": "32874"}, {"ref": "reneboy/santa-exploration-geosphere-sample", "kernel_id": "42704"}, {"ref": "reneboy/santa-exploration-1", "kernel_id": "41356"}, {"ref": "reneboy/santa-s-map", "kernel_id": "41357"}, {"ref": "program/notebook-2d45233ffb0b4d8b34df", "kernel_id": "30082"}, {"ref": "qieter/notebook-8de0faa52ec4d3056721", "kernel_id": "29052"}, {"ref": "jaybob20/computing-weighted-reindeer-weariness", "kernel_id": "32697"}, {"ref": "yzf666/a-brute-approach-aka-s-ggo", "kernel_id": "30974"}, {"ref": "lavender/notebook-55c960de6fb4598bcc2b", "kernel_id": "29098"}, {"ref": "jokintz/santa", "kernel_id": "29032"}, {"ref": "emitc2h/notebook-fe62ae14aeec910088da", "kernel_id": "28170"}, {"ref": "massenet/notebook-bba05b58213a0ced0c35", "kernel_id": "27608"}, {"ref": "davidhobl/notebook-d4fa30b71f1a9f0c9f68", "kernel_id": "32044"}, {"ref": "entepankopf/notebook-4362db3e80d6b7dd5c74", "kernel_id": "31266"}, {"ref": "entepankopf/a-brute-approach-aka-s-ggo", "kernel_id": "31267"}, {"ref": "entepankopf/notebook-0cc8b8720df3af4e8a5e", "kernel_id": "31269"}, {"ref": "entepankopf/you-ll-shoot-your-eye-out-kid", "kernel_id": "31270"}, {"ref": "grousseaux/notebook-e900dd70f8a44aea6a09", "kernel_id": "26905"}, {"ref": "grousseaux/notebook-57a1a82ba840f8f1f1da", "kernel_id": "27806"}, {"ref": "grousseaux/jhone", "kernel_id": "27807"}, {"ref": "grousseaux/tested", "kernel_id": "27810"}, {"ref": "grousseaux/notebook-9477f7b9637f91735cbb", "kernel_id": "27811"}, {"ref": "grousseaux/notebook-9d2fb06aad66d9332836", "kernel_id": "27800"}, {"ref": "grousseaux/notebook-aecd47d9eda9ae383465", "kernel_id": "27802"}, {"ref": "grousseaux/notebook-1f45c2fef29f603d40be", "kernel_id": "27803"}, {"ref": "grousseaux/notebook-e36d643a54fb0811fe00", "kernel_id": "27804"}, {"ref": "grousseaux/notebook-00e48a25b9dc21729710", "kernel_id": "27734"}, {"ref": "cwiese/visualizeyou-ll-shoot-your-eye-out-kid", "kernel_id": "29033"}, {"ref": "cwiese/notebook-bd785063aa0e69bf9e8d", "kernel_id": "29123"}, {"ref": "asunsada/notebook-cbada7ed436368d14a62", "kernel_id": "28946"}, {"ref": "johanloke/notebook-4dda4251d859faeb4a2b", "kernel_id": "29043"}, {"ref": "johanloke/santa-1", "kernel_id": "29054"}, {"ref": "arnaudh/test1", "kernel_id": "31568"}, {"ref": "arnaudh/notebook-92d8caed54d244bd123d", "kernel_id": "31570"}, {"ref": "dmtishler/notebook-0dabb57233a4a1ac0362", "kernel_id": "28157"}, {"ref": "darlingbx/you-ll-shoot-your-eye-out-kid", "kernel_id": "30052"}, {"ref": "darlingbx/notebook-8a2177709e99d415eac8", "kernel_id": "30057"}, {"ref": "darlingbx/notebook-b1662bc66dd5baa806cb", "kernel_id": "30058"}, {"ref": "darlingbx/notebook-45cdc147d7aa26850d46", "kernel_id": "30059"}, {"ref": "darlingbx/notebook-b900569c3b8061651cf4", "kernel_id": "30055"}, {"ref": "ewillson/you-ll-shoot-your-eye-out-kid", "kernel_id": "30098"}, {"ref": "ewillson/notebook-f668f9ea01ad9d0dd0fb", "kernel_id": "30100"}, {"ref": "xchent/test1aaa", "kernel_id": "32448"}, {"ref": "yougaindra/notebook-b7da2a9b35cc358b1455", "kernel_id": "27353"}, {"ref": "claudhu/notebook-0af842fb55f60cdbcca6", "kernel_id": "32940"}, {"ref": "arunasss/notebook-3ad038eaea574bdac6b0", "kernel_id": "27087"}, {"ref": "szubotinpeter/notebook-6fe92d3f440fadcffe7b", "kernel_id": "30246"}, {"ref": "parmellio/notebook-faeeddad2f7369dfb4f8", "kernel_id": "29088"}, {"ref": "advventurous/notebook-cec09ce2f63df5fc7ead", "kernel_id": "27891"}, {"ref": "advventurous/notebook-2141710ed90cab6e9cda", "kernel_id": "27892"}, {"ref": "advventurous/notebook-ec782bb0b217f5b57a4a", "kernel_id": "27893"}, {"ref": "diegoluca/notebook-08126a8dcf0515c43d50", "kernel_id": "28324"}, {"ref": "diegoluca/notebook-f6740419fcfeab5e4723", "kernel_id": "28325"}, {"ref": "surabs/notebook-f8aa0461d31ce88e0784", "kernel_id": "27544"}, {"ref": "bjornmoren/notebook-9788e53fae66d361734d", "kernel_id": "27954"}, {"ref": "tuyinuel/notebook-b1f23f112989828865bd", "kernel_id": "28003"}, {"ref": "tuyinuel/notebook-2be49e00703defd8a250", "kernel_id": "28109"}, {"ref": "tuyinuel/notebook-9b82f3815ce66b6059f6", "kernel_id": "28694"}, {"ref": "rdslater/wrw-for-r", "kernel_id": "28803"}, {"ref": "rdslater/you-ll-shoot-your-eye-out-kid", "kernel_id": "30112"}, {"ref": "mrshnra/notebook-bea9befea5efa0fab6b7", "kernel_id": "30550"}, {"ref": "gemunu/notebook-e0fee34385b72afc50f2", "kernel_id": "29897"}, {"ref": "leovigna/notebook-bb99e66020e60fe1d199", "kernel_id": "28268"}, {"ref": "leovigna/notebook-0e7e9b8928dfbb8a39dc", "kernel_id": "28276"}, {"ref": "leovigna/notebook-0df5d27f05e76cf40058", "kernel_id": "28272"}, {"ref": "samfed/notebook-683b41b55146e2f1b9a6", "kernel_id": "29503"}, {"ref": "samfed/notebook-29596e07617eb29f879e", "kernel_id": "29504"}, {"ref": "samfed/notebook-9e92303d641e013f03d0", "kernel_id": "29505"}, {"ref": "rabite/notebook-e5ddaf3647a21de2bb72", "kernel_id": "31724"}, {"ref": "twarakavi/computing-weighted-reindeer-weariness", "kernel_id": "30160"}, {"ref": "twarakavi/notebook-ba871b72b2cf93bbd0ed", "kernel_id": "30158"}, {"ref": "nattorice/notebook-17020187bb9d6293b464", "kernel_id": "29326"}, {"ref": "happywang/rtest", "kernel_id": "29494"}, {"ref": "happywang/notebook-dc79a5999115a4c5426c", "kernel_id": "29495"}, {"ref": "babouinjovial/notebook-59b52044f6f364086dfb", "kernel_id": "29498"}, {"ref": "altitudelabs/testing", "kernel_id": "31158"}, {"ref": "hyungsul/notebook-eed57f3218134816bc6d", "kernel_id": "30229"}, {"ref": "kagura/you-ll-shoot-your-eye-out-kid", "kernel_id": "29738"}, {"ref": "peshon/trial11", "kernel_id": "32040"}, {"ref": "peshon/btb-sszdx", "kernel_id": "32034"}, {"ref": "paulwal/notebook-8a0f47981fa1cb13c3ff", "kernel_id": "29876"}, {"ref": "dromanelli/you-ll-shoot-your-eye-out-kid", "kernel_id": "29916"}, {"ref": "mydm25/deabc", "kernel_id": "30172"}, {"ref": "hasimot/you-ll-shoot-your-eye-out-kid", "kernel_id": "30520"}, {"ref": "hasimot/notebook-34b9af80025cdb6de15d", "kernel_id": "30522"}, {"ref": "hasimot/notebook-cfab84f46033b9f581dc", "kernel_id": "30525"}, {"ref": "tomhortons/testet", "kernel_id": "30782"}, {"ref": "tomhortons/testlab", "kernel_id": "30776"}, {"ref": "tomhortons/testest", "kernel_id": "30784"}, {"ref": "tomhortons/notebook-4c1346d3d90f6b2b081c", "kernel_id": "30785"}, {"ref": "tomhortons/notebook-9ab8a0a24a78f50a722d", "kernel_id": "30787"}, {"ref": "tomhortons/you-ll-shoot-your-eye-out-kid", "kernel_id": "30334"}, {"ref": "tomhortons/notebook-90487ef2a8b9ee8744ab", "kernel_id": "30336"}, {"ref": "tomhortons/notebook-b23d343e5571071db0a9", "kernel_id": "30337"}, {"ref": "tomhortons/notebook-fe87b3619750b5c9ee69", "kernel_id": "30338"}, {"ref": "walterhan/notebook-86ac8532304b6dfc52d8", "kernel_id": "30333"}, {"ref": "trizzzat/santa", "kernel_id": "31497"}, {"ref": "april41/a-brute-approach-aka-s-ggo", "kernel_id": "30800"}, {"ref": "april41/notebook-c50d627ed3001ae77d3d", "kernel_id": "30802"}, {"ref": "bingtianbaihua/you-ll-shoot-your-eye-out-kid", "kernel_id": "30846"}, {"ref": "ingridlai/notebook-1f80add29b0e150c3f54", "kernel_id": "31542"}, {"ref": "ingridlai/wow0-0", "kernel_id": "31438"}, {"ref": "grantkot/notebook-44f7576ec3987989ba85", "kernel_id": "31760"}, {"ref": "paulpb/notebook-266d14a6692cafd96441", "kernel_id": "31440"}, {"ref": "paulpb/notebook-e9c41a5d02554fcccd4c", "kernel_id": "31441"}, {"ref": "paulpb/computing-weighted-reindeer-weariness", "kernel_id": "31730"}, {"ref": "kadampur/testing", "kernel_id": "31412"}, {"ref": "dmishin/notebook-610e5a2ca0374c8d87e9", "kernel_id": "31869"}, {"ref": "dmishin/test-1", "kernel_id": "31961"}, {"ref": "barbarabereczky/notebook-c163ae55431147d050b8", "kernel_id": "32203"}, {"ref": "maktak/notebook-3477482e1fa69c9a05cd", "kernel_id": "32365"}, {"ref": "jihyeseo/santa-eda-2-world-map", "kernel_id": "958173"}, {"ref": "nsuhas/visualizeyou-ll-shoot-your-eye-out-kid", "kernel_id": "108415"}, {"ref": "chukyworld/notebook96cc6fc931", "kernel_id": "103740"}, {"ref": "yhyu13/santa-exploration", "kernel_id": "119980"}, {"ref": "gv2006434865/notebook9566d3cf44", "kernel_id": "146693"}, {"ref": "drakfang/notebook7f89f0b2af", "kernel_id": "32467546"}, {"ref": "drakfang/notebook1165f87cb7", "kernel_id": "32508937"}]}
{"competition_id": "4729", "kernels": [{"ref": "kmader/3d-lung-volumes-using-simpleitk", "kernel_id": "171277"}, {"ref": "kmader/mri-heart-processing", "kernel_id": "1302707"}, {"ref": "kmader/systole-3d-cnn-time-model-with-tb", "kernel_id": "1308718"}, {"ref": "kmader/visualizing-mri-data", "kernel_id": "1307298"}, {"ref": "kmader/mri-volume-processing", "kernel_id": "1307513"}, {"ref": "kmader/systole-cnn-time-as-depth-model", "kernel_id": "1308359"}, {"ref": "tnilsson/bigimaging-complete", "kernel_id": "3853787"}, {"ref": "tnilsson/bigimaging-analysis", "kernel_id": "3709039"}, {"ref": "jkronander/bigimg-images", "kernel_id": "4953952"}, {"ref": "tnilsson/qbi-validate-network", "kernel_id": "4862510"}, {"ref": "tnilsson/qbi-preprocessing", "kernel_id": "4970818"}, {"ref": "mehdinait/pfa-v2-0", "kernel_id": "9237855"}, {"ref": "mucharlarvt/mri-heart-processing", "kernel_id": "14380578"}, {"ref": "deepak207/kare-final-year-project", "kernel_id": "24873954"}, {"ref": "adityakumarsandilya/notebookc6126ab22a", "kernel_id": "50804348"}]}
{"competition_id": "4746", "kernels": []}
{"competition_id": "4751", "kernels": []}
{"competition_id": "4754", "kernels": []}
{"competition_id": "4758", "kernels": []}
{"competition_id": "4770", "kernels": []}
{"competition_id": "4775", "kernels": []}
{"competition_id": "4794", "kernels": []}
{"competition_id": "4813", "kernels": []}
{"competition_id": "4816", "kernels": []}
{"competition_id": "4818", "kernels": []}
{"competition_id": "4821", "kernels": []}
{"competition_id": "4829", "kernels": [{"ref": "benhamner/list-input-files-and-folders", "kernel_id": "36766"}, {"ref": "benhamner/sample-photos", "kernel_id": "36810"}, {"ref": "nellaivijay/checkit", "kernel_id": "49919"}, {"ref": "willieliao/imagine-an-image1", "kernel_id": "53425"}, {"ref": "valueq/notebook-f30748366d2854a41f38", "kernel_id": "36824"}, {"ref": "valueq/notebook-f3fc794ba38ba078b785", "kernel_id": "36825"}, {"ref": "valueq/util-for-data-exploration", "kernel_id": "36827"}, {"ref": "dmytrolystopad/random-forests-on-pixels", "kernel_id": "51972"}, {"ref": "dmytrolystopad/imagine-an-image", "kernel_id": "52156"}, {"ref": "dmytrolystopad/imagine-an-image1", "kernel_id": "52157"}, {"ref": "flashnik/imagine-an-image1", "kernel_id": "52892"}, {"ref": "mintaka/notebook-71f9f78a48cee6b3151d", "kernel_id": "40810"}, {"ref": "wendykan/expensive-restaurants-look-like-this", "kernel_id": "36812"}, {"ref": "titericz/imagine-an-image3", "kernel_id": "53639"}, {"ref": "tvinithkumar/notebook-d5e4449e2231d823e677", "kernel_id": "40325"}, {"ref": "juliussimonelli/notebook-3efd348c0392d290cab1", "kernel_id": "38489"}, {"ref": "adityajitta/notebook-0dfbfb84bb4b91783ffc", "kernel_id": "38076"}, {"ref": "natbusa/first-note", "kernel_id": "238422"}, {"ref": "yashrajlamsal/notebook-6b7ddc85d8f1fc7cf7bb", "kernel_id": "48149"}, {"ref": "yashrajlamsal/yelpphoto", "kernel_id": "48153"}, {"ref": "yashrajlamsal/notebook-845407e0ae5ac003d476", "kernel_id": "48166"}, {"ref": "tejpratap/notebook-d529edfe27ea9ec8e570", "kernel_id": "50750"}, {"ref": "tejpratap/notebook-6d1a203908b128624746", "kernel_id": "50827"}, {"ref": "triskelion/shallow-learning", "kernel_id": "51726"}, {"ref": "jayasimha/notebook-df22f3b566af40d30739", "kernel_id": "48575"}, {"ref": "gunaatita/trial", "kernel_id": "36993"}, {"ref": "sakett/notebook-8dfc5a4f4125836fdd81", "kernel_id": "53068"}, {"ref": "wongjingping/naive-benchmark-0-61", "kernel_id": "37986"}, {"ref": "kathakaliseth/notebook-1c4dd7e52d50324a5977", "kernel_id": "52153"}, {"ref": "kathakaliseth/notebook-9687e6f76e5b7a8d9eb5", "kernel_id": "52154"}, {"ref": "potterxu/notebook-fa551d78cee2ef70751e", "kernel_id": "53440"}, {"ref": "fanghuang/notebook-4eeda15e01b75de96557", "kernel_id": "54318"}, {"ref": "fanghuang/notebook-9dcaa3b3e4a7739329a8", "kernel_id": "54319"}, {"ref": "michaelpawlus/naive-benchmark-0-61", "kernel_id": "39378"}, {"ref": "pinocchio/expensive-restaurants-look-like-this", "kernel_id": "53251"}, {"ref": "frmsvrt/notebook-473f47ced88c6bc649a7", "kernel_id": "40557"}, {"ref": "hemanthchowdary/notebook-c9d6f1bc40a721891298", "kernel_id": "53402"}, {"ref": "manikanta/helloworld", "kernel_id": "45986"}, {"ref": "manikanta/notebook-53630c09041d8eb6bcc1", "kernel_id": "51041"}, {"ref": "manikanta/expensive-restaurants-look-like-this", "kernel_id": "51042"}, {"ref": "manikanta/notebook-d23c33991e4597457b68", "kernel_id": "51043"}, {"ref": "bikasha/naive-benchmark-0-61", "kernel_id": "40243"}, {"ref": "ariesyi/notebook-59105ff7027c8cd25380", "kernel_id": "45478"}, {"ref": "yangzhao/notebook-9b600eeddf858197622a", "kernel_id": "39469"}, {"ref": "yangzhao/notebook-a4f16cbcd63e0469c96c", "kernel_id": "39470"}, {"ref": "xlin11/imagine-an-image", "kernel_id": "53384"}, {"ref": "xlin11/notebook-dffc51a343c494850b66", "kernel_id": "53386"}, {"ref": "xlin11/notebook-87f78862d9db52b23420", "kernel_id": "53387"}, {"ref": "nikhilw/photoclassification", "kernel_id": "40767"}, {"ref": "tdcolorado/notebook-0697d88084e425428147", "kernel_id": "56791"}, {"ref": "tdcolorado/notebook-8dff95ee8e89fc36d3b1", "kernel_id": "56792"}, {"ref": "iosentinel/notebook-92d5e2c41f8c6a725cc4", "kernel_id": "52428"}, {"ref": "iosentinel/analyze", "kernel_id": "52454"}, {"ref": "iosentinel/synthesize", "kernel_id": "52329"}, {"ref": "justfor/yelp-play", "kernel_id": "51178"}, {"ref": "justfor/yelp-image-play3", "kernel_id": "53117"}, {"ref": "kruskal/expensive-restaurants-look-like-this", "kernel_id": "68418"}, {"ref": "kruskal/fun-with-images", "kernel_id": "68420"}, {"ref": "kruskal/imagine-an-image", "kernel_id": "68421"}, {"ref": "joshualee/notebooke7783e589f", "kernel_id": "149706"}, {"ref": "thuyenvn/notebook-5994b648f0ea94aeee36", "kernel_id": "37399"}, {"ref": "thuyenvn/expensive-restaurants-look-like-this", "kernel_id": "46784"}, {"ref": "innerproduct/naive-benchmark-0-61", "kernel_id": "48364"}, {"ref": "innerproduct/trying-to-process-images", "kernel_id": "48901"}, {"ref": "innerproduct/load-data-with-get-dummies", "kernel_id": "49599"}, {"ref": "innerproduct/more-naivete", "kernel_id": "50013"}, {"ref": "innerproduct/imagine-an-image", "kernel_id": "51229"}, {"ref": "congyang0305/yelp-photo-classification", "kernel_id": "37467"}, {"ref": "frankcarey/notebook-c29db4bcd158ced50ff3", "kernel_id": "44022"}, {"ref": "frankcarey/notebook-20437b9dbf2d5395ce72", "kernel_id": "44023"}, {"ref": "yrevar/notebook-d776a1b9988dca650599", "kernel_id": "52472"}, {"ref": "yrevar/notebook-a012145fba094492c5b3", "kernel_id": "51759"}, {"ref": "yrevar/notebook-aac00b92719466fa8fb9", "kernel_id": "51295"}, {"ref": "yrevar/yelp-training-data-helper", "kernel_id": "51314"}, {"ref": "yrevar/notebook-ffccf09e9c79d24f65f5", "kernel_id": "51324"}, {"ref": "yrevar/notebook-607e55e5fd74eafbbb0c", "kernel_id": "51325"}, {"ref": "marchhare/notebook-8b74d3574b79d2a1ad94", "kernel_id": "38238"}, {"ref": "marchhare/notebook-5b20c7cb47fb88b058e4", "kernel_id": "38240"}, {"ref": "marchhare/expensive-restaurants-look-like-this", "kernel_id": "38236"}, {"ref": "emmkog/expensive-restaurants-look-like-this", "kernel_id": "40405"}, {"ref": "khaledfayed/sample-photos", "kernel_id": "40020"}, {"ref": "quantm/notebook-c20184c95cb983c9d5f1", "kernel_id": "46599"}, {"ref": "manishperiwal/imagine-an-image", "kernel_id": "51363"}, {"ref": "manishperiwal/notebook-66b2cbff416886f3efc5", "kernel_id": "51366"}, {"ref": "llcoolnj/yelp-classification", "kernel_id": "38300"}, {"ref": "abhishek3/imagine-an-image", "kernel_id": "52753"}, {"ref": "sypeer/notebook-d055318c64039eae688c", "kernel_id": "43477"}, {"ref": "seanchu/expensive-restaurants-look-like-this", "kernel_id": "53742"}, {"ref": "leheoppo/test-script", "kernel_id": "46072"}, {"ref": "leheoppo/start", "kernel_id": "46074"}, {"ref": "khudebhakti/notebook-2ff1d349cd6b9109de48", "kernel_id": "65174"}, {"ref": "khudebhakti/imagine-an-image", "kernel_id": "65169"}, {"ref": "shreyiitj/notebook-cf9def0f64fc351572bc", "kernel_id": "46642"}, {"ref": "munchupnoi/patcharaporn", "kernel_id": "111523"}, {"ref": "irish1/expensive-restaurants-look-like-this", "kernel_id": "44948"}, {"ref": "arpangupta87/naive-benchmark-0-61", "kernel_id": "47053"}, {"ref": "arpangupta87/numpy", "kernel_id": "47054"}, {"ref": "arpangupta87/notebook-8b622e6b57daa6c5ae2b", "kernel_id": "49098"}, {"ref": "arpangupta87/notebook-9181bf30c57b670c1882", "kernel_id": "49099"}, {"ref": "arpangupta87/py1-alpha", "kernel_id": "49100"}, {"ref": "arpangupta87/yelp-1", "kernel_id": "49107"}, {"ref": "arpangupta87/yelp-2", "kernel_id": "49189"}, {"ref": "esztis/notebook3164c26672", "kernel_id": "248284"}, {"ref": "drzoltar/donut", "kernel_id": "48913"}, {"ref": "jamesma618/naive-benchmark-0-61", "kernel_id": "51727"}, {"ref": "mayasofsof/notebook-039deedacfe6d3783599", "kernel_id": "46405"}, {"ref": "ckdelta/testscript", "kernel_id": "53196"}, {"ref": "sdegirmenci/expensive-restaurants-look-like-this", "kernel_id": "39347"}, {"ref": "eleanorl/notebook-f7146239c9ca05cbc688", "kernel_id": "60376"}, {"ref": "eleanorl/notebook-44874a36bdf8fe692928", "kernel_id": "60377"}, {"ref": "mohanpb/notebook-e97812def9f652a2dfc9", "kernel_id": "52340"}, {"ref": "mohanpb/notebook-ae38c9aa45433e3b0fcb", "kernel_id": "52344"}, {"ref": "mohanpb/notebook-18360a9cc0adf074b4df", "kernel_id": "52345"}, {"ref": "mohanpb/notebook-ed6ff1891d04579dffdc", "kernel_id": "52351"}, {"ref": "zheyix/notebook-051db731428e7c7b49bd", "kernel_id": "52001"}, {"ref": "zheyix/fun-with-images", "kernel_id": "51965"}, {"ref": "gupta17anukriti/cnsdhjks", "kernel_id": "59265"}, {"ref": "gupta17anukriti/yelp-2", "kernel_id": "59357"}, {"ref": "millerintllc/naive-benchmark-0-61", "kernel_id": "39874"}, {"ref": "millerintllc/imagine-an-image1", "kernel_id": "53144"}, {"ref": "plaguecity/expensive-restaurants-look-like-this", "kernel_id": "39423"}, {"ref": "wannabe/notebook-1dcd877ee44cebe501bb", "kernel_id": "51497"}, {"ref": "shubhamg/random-guess", "kernel_id": "39220"}, {"ref": "shubhamg/naive-benchmark-0-61", "kernel_id": "39221"}, {"ref": "bluelight773/notebook-a2dc254ebdab278fa759", "kernel_id": "37203"}, {"ref": "nithinjames/imagine-an-image", "kernel_id": "49889"}, {"ref": "sanjaykrishna/notebook-2d8320e9325d8cfb7a0e", "kernel_id": "48095"}, {"ref": "sanjaykrishna/notebook-de07de0f3df36d98a251", "kernel_id": "48101"}, {"ref": "ericrincon/yelpcnn", "kernel_id": "40174"}, {"ref": "faceplant/notebook-4ef2f52d0b01e0cd3fbf", "kernel_id": "36773"}, {"ref": "xinyuzhao/notebook-4a78c42ba7a92eb715c7", "kernel_id": "40062"}, {"ref": "pawan176/notebook-45f76181cafdb8378dec", "kernel_id": "47130"}, {"ref": "pawan176/notebook-39209ae644f0668e7b90", "kernel_id": "47131"}, {"ref": "pawan176/expensive-restaurants-look-like-this", "kernel_id": "47125"}, {"ref": "pawan176/asdsa", "kernel_id": "56974"}, {"ref": "pawan176/images", "kernel_id": "62022"}, {"ref": "pawan176/labelimages", "kernel_id": "61996"}, {"ref": "localchung/naive-benchmark-0-61", "kernel_id": "39715"}, {"ref": "localchung/notebook-a590022e34e3053dc6c5", "kernel_id": "39716"}, {"ref": "localchung/expensive-restaurants-look-like-this", "kernel_id": "39717"}, {"ref": "localchung/random-guess", "kernel_id": "39718"}, {"ref": "pragathin/notebook-264dc50d8ef8a8b7bd79", "kernel_id": "41281"}, {"ref": "rafaellopes/notebook-f630236acd947fad69f3", "kernel_id": "43029"}, {"ref": "rafaellopes/load-data-with-get-dummies", "kernel_id": "43030"}, {"ref": "cldang/notebook-feddfacf57bb141433ae", "kernel_id": "71701"}, {"ref": "anokas/notebook-f9ea0daddebc3739236c", "kernel_id": "52864"}, {"ref": "anokas/patch-features-rfr", "kernel_id": "52860"}, {"ref": "bimbil/notebook1bfc867e2f", "kernel_id": "256527"}, {"ref": "qq532933297/notebook-ec9b604eb1763ff68143", "kernel_id": "44522"}, {"ref": "hurelyyu/imagine-an-image", "kernel_id": "51534"}, {"ref": "renegallery/descriptive-analysis", "kernel_id": "39012"}, {"ref": "snoopywyf/expensive-restaurants-look-like-this", "kernel_id": "44266"}, {"ref": "luckygemini/fork-of-notebook67cad851f5cnn-final", "kernel_id": "133905"}, {"ref": "luckygemini/yelp-dataset-chanllenge", "kernel_id": "120946"}, {"ref": "luckygemini/notebook5d5fc80c9f", "kernel_id": "121309"}, {"ref": "yardstick17/notebook-83584e19a80086fc0f52", "kernel_id": "37759"}, {"ref": "alanmrc/notebook-06883fc81f887b59ee4a", "kernel_id": "40649"}, {"ref": "geziwang/expensive-restaurants-look-like-this", "kernel_id": "40770"}, {"ref": "geziwang/notebook-2f0ea163d58d7252d53f", "kernel_id": "40774"}, {"ref": "geziwang/notebook-0a113e0d12fcd1fa5c08", "kernel_id": "40775"}, {"ref": "geziwang/notebook-70d3495a9646b19e2df1", "kernel_id": "40776"}, {"ref": "geziwang/notebook-c7896908fa1fd810bda0", "kernel_id": "40777"}, {"ref": "gypsysunny/notebook95682414d3", "kernel_id": "169215"}, {"ref": "kalinka/sample1", "kernel_id": "48949"}, {"ref": "kalinka/notebook-60335b2a9a6e5dc7b13e", "kernel_id": "48943"}, {"ref": "reterius/deneme1", "kernel_id": "44369"}, {"ref": "gzhang355/expensive-restaurants-look-like-this", "kernel_id": "45341"}, {"ref": "gzhang355/notebook-a99a4fab8345720c1c8a", "kernel_id": "45342"}, {"ref": "gzhang355/notebook-e13f4be0c490abae34bf", "kernel_id": "45343"}, {"ref": "gzhang355/imagine-an-image", "kernel_id": "50930"}, {"ref": "xunyuwang/notebook-dba884f65e0e2f422b99", "kernel_id": "46502"}, {"ref": "amitm94305/notebook-b63ac57718e8d72c6b81", "kernel_id": "45822"}, {"ref": "amitm94305/notebook-4521962f87cfff42e0f7", "kernel_id": "45824"}, {"ref": "amitm94305/notebook-c03b6d19bfd939cc1397", "kernel_id": "46775"}, {"ref": "morganizer/notebook-237ffde972762ed0ea3a", "kernel_id": "53672"}, {"ref": "fanfeng/notebook-d58b74d5e606ac85c283", "kernel_id": "46203"}, {"ref": "jihyeseo/photo-classify", "kernel_id": "958711"}, {"ref": "gunvant/notebook-24bddacc145b44aebcab", "kernel_id": "48271"}, {"ref": "trungnb/notebook-82a310eaa268c27adbc5", "kernel_id": "48418"}, {"ref": "trungnb/notebook-ba53337f6716465a84e4", "kernel_id": "48433"}, {"ref": "trungnb/notebook-03bb543e173cc10832fa", "kernel_id": "48211"}, {"ref": "trungnb/notebook-4dce3784504b936be977", "kernel_id": "48682"}, {"ref": "trungnb/notebook-10881f4b263ff14dd836", "kernel_id": "48902"}, {"ref": "trungnb/notebook-dece578568e4aaa8614f", "kernel_id": "48911"}, {"ref": "trungnb/notebook-b11e4cdbede4a9b6d0bc", "kernel_id": "48958"}, {"ref": "girishpai/notebook-7e6a8758381f4dce2960", "kernel_id": "74172"}, {"ref": "rand0mchao5/notebook5d92623938", "kernel_id": "110819"}, {"ref": "samridhigupta/notebook-7ffee9da948558f98e3e", "kernel_id": "48464"}, {"ref": "shihaozhang/random-forests-on-pixels", "kernel_id": "51264"}, {"ref": "nefelibata/notebook-80168facd19f77477f35", "kernel_id": "82820"}, {"ref": "spenceiia/notebook-656cfdeb09c8e702480a", "kernel_id": "52998"}, {"ref": "spenceiia/notebook-8d66527eeb43bc42467f", "kernel_id": "52991"}, {"ref": "spenceiia/imagine-an-image", "kernel_id": "52986"}, {"ref": "tsukasa/expensive-restaurants-look-like-this", "kernel_id": "163882"}, {"ref": "tsukasa/random-forests-on-pixels", "kernel_id": "163106"}, {"ref": "shivi2909/notebookb54c268685", "kernel_id": "174686"}, {"ref": "jungheekim/expensive-restaurants-look-like-this", "kernel_id": "78774"}, {"ref": "jungheekim/notebook-edf04088a5c2a0897d2f", "kernel_id": "78779"}, {"ref": "linjef/notebook-474bfe24b75227be7b4c", "kernel_id": "71688"}, {"ref": "linjef/notebook-8e9185bb855571659f38", "kernel_id": "71689"}, {"ref": "sacdallago/notebook14d4ae1392", "kernel_id": "98077"}, {"ref": "xliang1993/notebook75c86a43d9", "kernel_id": "102632"}, {"ref": "xliang1993/notebook109d757e0e", "kernel_id": "113895"}, {"ref": "smt9317/expensive-restaurants-look-like-this", "kernel_id": "139104"}, {"ref": "zjzjzj/notebook67cad851f5-a6e25e2b", "kernel_id": "135274"}, {"ref": "zjzjzj/notebookb157bbad61", "kernel_id": "133185"}, {"ref": "zjzjzj/notebook67cad851f5", "kernel_id": "133906"}, {"ref": "dataaks/expensive-restaurants-look-like-this", "kernel_id": "175281"}, {"ref": "stahmoresi/notebooktestshowlabeledimages", "kernel_id": "195614"}, {"ref": "stahmoresi/notebook571895b267", "kernel_id": "196317"}, {"ref": "stahmoresi/testmine", "kernel_id": "196304"}, {"ref": "stahmoresi/imagelistfile", "kernel_id": "226765"}, {"ref": "venuv62/basic-keras-prototype-for-ambience", "kernel_id": "246328"}, {"ref": "sgovindu/yelp-data-analysis", "kernel_id": "1556203"}, {"ref": "enerrio/data-exploration-yelp-classification", "kernel_id": "1360878"}, {"ref": "ashbunny/kernel909af544ff", "kernel_id": "2196696"}, {"ref": "aparajit0511/yelp-restaurant", "kernel_id": "7386208"}, {"ref": "bl4ck4/notebook670a40d86c", "kernel_id": "14174465"}, {"ref": "punjuanoir/computervisionatelier", "kernel_id": "14456113"}, {"ref": "vasanarumsakul/dsi206-project-kaggle", "kernel_id": "45697301"}, {"ref": "atikansinthawanon/markdown-project-206", "kernel_id": "45571368"}, {"ref": "wndf2109/dsi206-project", "kernel_id": "45812769"}, {"ref": "sirichupongjumpasak/test-korn", "kernel_id": "46687309"}, {"ref": "sarunphas/test-yelp-dsi206", "kernel_id": "46929095"}, {"ref": "thanaraklee/dsi206-project", "kernel_id": "46444067"}, {"ref": "pilailuck/dsi206-yelp-photo-classification", "kernel_id": "46847110"}, {"ref": "kulisara/dsi206-yelp-restaurant-photo-classification", "kernel_id": "46857590"}, {"ref": "kulisara/cnn-resnet50", "kernel_id": "46932260"}, {"ref": "pingptrn/restaurant-classification", "kernel_id": "46917608"}, {"ref": "jirapinya2305/dsi206", "kernel_id": "46655094"}, {"ref": "jirapinya2305/cleanimage", "kernel_id": "46648822"}, {"ref": "kunyakornpengboon94/206final", "kernel_id": "46880363"}, {"ref": "kunyakornpengboon94/resnet50", "kernel_id": "46919221"}, {"ref": "nnayjya/dsi206-cnn-model-final", "kernel_id": "46795198"}, {"ref": "nnayjya/dsi206-model-resnet50", "kernel_id": "46847865"}, {"ref": "nnayjya/d3000", "kernel_id": "46496321"}, {"ref": "siripreya/vgg19", "kernel_id": "46918926"}]}
{"competition_id": "4837", "kernels": []}
{"competition_id": "4852", "kernels": [{"ref": "alexxanderlarko/extratreesver1", "kernel_id": "43324"}, {"ref": "benhamner/list-input-files-6", "kernel_id": "36569"}, {"ref": "khanh94/extratreesclassifier002", "kernel_id": "54128"}, {"ref": "badgers/first", "kernel_id": "38988"}, {"ref": "wcukierski/bare-bones-random-forest", "kernel_id": "36771"}, {"ref": "paulomagalhaes/notebook-ca542f1eb812f90e3ee1", "kernel_id": "51968"}, {"ref": "ampires/notebook-665b9c6234f94c15f554", "kernel_id": "55254"}, {"ref": "ampires/notebook-331c130095c9cd010c6e", "kernel_id": "55255"}, {"ref": "leadbest/nn-cv4", "kernel_id": "49131"}, {"ref": "maalona/xgb-cross-val-and-feat-select", "kernel_id": "40385"}, {"ref": "tomaskeller/notebook-0cd000d5da0f4d803410", "kernel_id": "37537"}, {"ref": "ucabjlt/notebook-42f62ebf3615e9090932", "kernel_id": "49342"}, {"ref": "brentsnyder/xgboost-15-02-2016-0-45769", "kernel_id": "43799"}, {"ref": "jayendran/xgboost-r-script-giving-0-45846-on-lb", "kernel_id": "39050"}, {"ref": "jayendran/notebook-7bbb50705f34b65ad9df", "kernel_id": "48762"}, {"ref": "jayendran/et-classifier-2", "kernel_id": "49665"}, {"ref": "j55511/simple-skflow", "kernel_id": "38728"}, {"ref": "jofaichow/h2o-starter-gbm", "kernel_id": "36994"}, {"ref": "alexandralukacova/notebook-8319554cb4fdf0f3f7c4", "kernel_id": "37012"}, {"ref": "enmanuelsantana/notebook-9ff904f9de053a3c7d98", "kernel_id": "38022"}, {"ref": "vikash/notebook-51a9a75d1288f4702934", "kernel_id": "48455"}, {"ref": "vikash/extratrees", "kernel_id": "48447"}, {"ref": "shnthn/notebook-ae7456f79361297b371a", "kernel_id": "39031"}, {"ref": "thakurrajanand/extratreesclassifier-score-0-45-v5", "kernel_id": "46054"}, {"ref": "thakurrajanand/extratrees", "kernel_id": "46075"}, {"ref": "thakurrajanand/notebook-f2147eb881589339fc6e", "kernel_id": "46132"}, {"ref": "jimthompson/using-the-boruta-package-to-determine-fe", "kernel_id": "38588"}, {"ref": "eranis/notebook-fd41a7e6a16c58e968c9", "kernel_id": "38696"}, {"ref": "extraequal/extratrees", "kernel_id": "46110"}, {"ref": "extraequal/notebook-a502bf7a2759a4684a4b", "kernel_id": "46111"}, {"ref": "mlandry/h2o-starter-gbm", "kernel_id": "36858"}, {"ref": "wtwang/notebook-f496526f881ac7512147", "kernel_id": "55083"}, {"ref": "pganguli/notebook-70a5c5540e93536f837b", "kernel_id": "52607"}, {"ref": "mathusuthan/notebook-c2a694463604506e4e54", "kernel_id": "49853"}, {"ref": "mathusuthan/notebook-eb3e0bcade63e98f1175", "kernel_id": "49854"}, {"ref": "mathusuthan/notebook-3eb2de59599782426e5e", "kernel_id": "49855"}, {"ref": "mathusuthan/notebook-63db74c7d52cb6164d49", "kernel_id": "49856"}, {"ref": "mathusuthan/notebook-b00e49d0523078ad886d", "kernel_id": "49857"}, {"ref": "mathusuthan/notebook-905b93c66eb309aac265", "kernel_id": "49858"}, {"ref": "mathusuthan/exploring-bnp-data-distributions", "kernel_id": "49851"}, {"ref": "stubz1/notebook-38efa0f9790607113c7b", "kernel_id": "54549"}, {"ref": "stubz1/notebook-137290282dd63a74ef13", "kernel_id": "54550"}, {"ref": "stubz1/notebook-e776f04baddb9f8191f3", "kernel_id": "54551"}, {"ref": "drpatrickchan/gbtreedepth6", "kernel_id": "37700"}, {"ref": "nishkgp/xgb-cross-val-and-feat-selected", "kernel_id": "51124"}, {"ref": "nishkgp/xgb-cross-val-and-feat-selected-temp", "kernel_id": "51125"}, {"ref": "nishkgp/notebook-6b280cfbc513bec48ce4", "kernel_id": "51509"}, {"ref": "nishkgp/data1", "kernel_id": "51510"}, {"ref": "nishkgp/raaaa", "kernel_id": "51513"}, {"ref": "nishkgp/xgb-cross-val-and-feat-selected-123", "kernel_id": "51515"}, {"ref": "nishkgp/notebook-1b2d472ff29b52c79e5f", "kernel_id": "51519"}, {"ref": "nishkgp/benouilli-naive-bayes", "kernel_id": "51709"}, {"ref": "vykhand/extratrees", "kernel_id": "45875"}, {"ref": "vykhand/notebook-64d14d20745e2c28dcd1", "kernel_id": "45883"}, {"ref": "siddharthbiswal/extratrees", "kernel_id": "47875"}, {"ref": "nkishore/et-classifier", "kernel_id": "53524"}, {"ref": "abdelhadidanba/notebook-8fe9173fc9c7a7be8efd", "kernel_id": "44657"}, {"ref": "lolatu2/notebook-1a8128d6920707fade29", "kernel_id": "37636"}, {"ref": "lolatu2/h2o-starter-gbm", "kernel_id": "37637"}, {"ref": "mikeofalltrades/test12345t", "kernel_id": "44616"}, {"ref": "cpmpml/notebook-790aa4697d62e2d8ecad", "kernel_id": "55287"}, {"ref": "mpearmain/calibrated-sgdclassifier", "kernel_id": "38002"}, {"ref": "mpearmain/bayesianoptimization-of-random-forest", "kernel_id": "38507"}, {"ref": "bakiev/try-it", "kernel_id": "46319"}, {"ref": "bakiev/notebook-d3de557be59938f14ff5", "kernel_id": "46196"}, {"ref": "bakiev/extratrees", "kernel_id": "46140"}, {"ref": "bakiev/boosting", "kernel_id": "46143"}, {"ref": "bakiev/notebook-82bde99e07962a93181b", "kernel_id": "46154"}, {"ref": "bakiev/et-classifier-1", "kernel_id": "53030"}, {"ref": "ijaganjac/xgboost-15-02-2016-0-45769", "kernel_id": "52842"}, {"ref": "zhuangh/generic-workflow-for-binary-probability", "kernel_id": "48854"}, {"ref": "anujkh/h2o-starter-gbm", "kernel_id": "51034"}, {"ref": "lelika1/notebook-824ea0db4517ce4d5426", "kernel_id": "48610"}, {"ref": "tommontroy/et-classifier", "kernel_id": "53341"}, {"ref": "lrmeulman/notebook-b3465a70b0a6832ad12a", "kernel_id": "40768"}, {"ref": "fone4u/notebook-a8a873e76d316c4463df", "kernel_id": "40371"}, {"ref": "lucapolverini/exploring-bnp-data-distributions", "kernel_id": "53254"}, {"ref": "sgerat/notebook-7d18165c40ae174b84f7", "kernel_id": "43520"}, {"ref": "ayushrajsingh/xgb-cross-val-and-feat-selected", "kernel_id": "41447"}, {"ref": "ayushrajsingh/notebook-8b1a6494656bbcafb173", "kernel_id": "46612"}, {"ref": "ayushrajsingh/extratrees", "kernel_id": "46593"}, {"ref": "rachar1/visualizing-the-nas", "kernel_id": "46324"}, {"ref": "dankolbman/notebook-c7fd4476f14522ed1ad4", "kernel_id": "36855"}, {"ref": "chrislit/notebook-ad0dc7d551ae479b4001", "kernel_id": "37502"}, {"ref": "chrislit/notebook-0ba6c33e162412123a87", "kernel_id": "37503"}, {"ref": "guanqing/generic-workflow-for-binary-probability", "kernel_id": "50121"}, {"ref": "wallinm1/notebook-f21600c46d1db0d417ff", "kernel_id": "45944"}, {"ref": "wallinm1/xgboost-15-02-2016-0-45769", "kernel_id": "44432"}, {"ref": "aktakukac/notebook-684deca509cf6cdf8204", "kernel_id": "40141"}, {"ref": "aktakukac/notebook-28960ac978ec95d2aa1e", "kernel_id": "40142"}, {"ref": "nimanafisi/notebook33fc4c398c", "kernel_id": "91789"}, {"ref": "mdjmay/notebook-8af864081e0c02348b98", "kernel_id": "40280"}, {"ref": "myloginid/bayesian-hyperparam-optimization-of-rf", "kernel_id": "43096"}, {"ref": "myloginid/notebook-8ff9d57936250f07a50e", "kernel_id": "43092"}, {"ref": "tjrileywisc/bnp-tjrileywisc", "kernel_id": "37935"}, {"ref": "harishbchalam204/notebook-c20701134d471e21457d", "kernel_id": "40853"}, {"ref": "anujsaxenaa/notebook-bd009ecdaa9d946e46c6", "kernel_id": "39375"}, {"ref": "dsdinter/notebook-c4f5c53902967da8fd03", "kernel_id": "38602"}, {"ref": "dsdinter/notebook-7b42e1ad067510946d01", "kernel_id": "38603"}, {"ref": "jakublangr/xgb-cross-val-and-feat-selected-123", "kernel_id": "53860"}, {"ref": "jakublangr/xgboost-15-02-2016-0-45769", "kernel_id": "52987"}, {"ref": "breezeintopieces/notebook-4cd4d4cca7e2c71eeca0", "kernel_id": "52787"}, {"ref": "breezeintopieces/et-classifier", "kernel_id": "52788"}, {"ref": "ram1angadala/extratreesclassifier-score-0-45911", "kernel_id": "43727"}, {"ref": "yuhaichina/extratreesclassifier-score-0-45911", "kernel_id": "40270"}, {"ref": "yupbank/notebook-28783e1d618681ce255e", "kernel_id": "47056"}, {"ref": "yupbank/test-bnp", "kernel_id": "47031"}, {"ref": "andreusancho/extratreesclassifier-score-0-45911", "kernel_id": "45201"}, {"ref": "johnguo/test-r", "kernel_id": "38061"}, {"ref": "sinaasappel/density-plots-paribas-data", "kernel_id": "48799"}, {"ref": "sinaasappel/exploring-paribas-data", "kernel_id": "43435"}, {"ref": "fmcmac/notebook-085264a7a75ca485d2d0", "kernel_id": "44769"}, {"ref": "palash/notebook-2999b31feb1e3b73a42c", "kernel_id": "44378"}, {"ref": "chandrasen/notebook-92c47926e897bcdd6041", "kernel_id": "43242"}, {"ref": "aritrasep/notebook-e78ec34504d4280bf05b", "kernel_id": "40486"}, {"ref": "tgrammat/xgbtree-cleanencoded-wo-collinr-attribs", "kernel_id": "52858"}, {"ref": "tgrammat/et-cleanencoded-wo-collinear-attribs", "kernel_id": "49901"}, {"ref": "tgrammat/extratreesclassifier-score-0-45911", "kernel_id": "45881"}, {"ref": "rajatgupta115/notebook-0901accfdeef37b08af9", "kernel_id": "37088"}, {"ref": "rajatgupta115/notebook-52fd4e87b58c58ed9b0b", "kernel_id": "37090"}, {"ref": "gunner4life/xgboost-r-script-giving-0-45846-on-lb", "kernel_id": "40187"}, {"ref": "rockp1/notebook-74a115d0b3f174407c7d", "kernel_id": "44844"}, {"ref": "prateekgaur/exploring-bnp-data", "kernel_id": "100942"}, {"ref": "aironashish/simple-xgboost-0-46146", "kernel_id": "38874"}, {"ref": "outliar/notebook-43c9ee030a2d53b9178d", "kernel_id": "46055"}, {"ref": "outliar/extratrees", "kernel_id": "46038"}, {"ref": "outliar/notebook-db1a8b677e0ea190afdd", "kernel_id": "46043"}, {"ref": "outliar/sc111", "kernel_id": "46044"}, {"ref": "outliar/notebook-bede5f5cece2d3e07234", "kernel_id": "46046"}, {"ref": "outliar/notebook-a43d08475bb05e32cae7", "kernel_id": "46048"}, {"ref": "tomehta/missing-data-imputation", "kernel_id": "44342"}, {"ref": "raghparihar/test123", "kernel_id": "52862"}, {"ref": "samliuxi/notebook-aa9c702d5e4cc1f43abb", "kernel_id": "47239"}, {"ref": "samliuxi/lasagne-nn", "kernel_id": "47242"}, {"ref": "oleksii/notebook-f202c9aa5cdf8103be05", "kernel_id": "46982"}, {"ref": "oleksii/notebook-e74b137430db44c7f15e", "kernel_id": "46577"}, {"ref": "betterplace/exploring-bnp-data-distributions", "kernel_id": "43691"}, {"ref": "betterplace/notebook-6b7d55a621208926cbb2", "kernel_id": "43694"}, {"ref": "xauen1980/firsttest1", "kernel_id": "47654"}, {"ref": "mohdatir/xgboost-15-02-2016-0-45769", "kernel_id": "43864"}, {"ref": "mohdatir/xgboost-15-03-2016-0-45769", "kernel_id": "46820"}, {"ref": "mohdatir/generic-workflow-for-binary-probability", "kernel_id": "52488"}, {"ref": "mohdatir/new-trial", "kernel_id": "54153"}, {"ref": "mohdatir/trail", "kernel_id": "53780"}, {"ref": "mohdatir/bayesian-hyperparam-optimization-of-rf", "kernel_id": "40317"}, {"ref": "mohdatir/first-try", "kernel_id": "38820"}, {"ref": "vikram08/exploring-bnp-data-distributions", "kernel_id": "44078"}, {"ref": "kishoreb4/notebook-2813840b8d8574ca341b", "kernel_id": "39061"}, {"ref": "kishoreb4/extratrees", "kernel_id": "46198"}, {"ref": "geet17/notebook7f70f20e03", "kernel_id": "172326"}, {"ref": "geet17/notebook206b46e923", "kernel_id": "172328"}, {"ref": "sushize/xgb-ssz-1", "kernel_id": "47853"}, {"ref": "sushize/extratrees", "kernel_id": "47847"}, {"ref": "hyposulphite/extratrees", "kernel_id": "47462"}, {"ref": "potterxu/notebook-afdb482de08cfc9c17cf", "kernel_id": "53228"}, {"ref": "potterxu/first-python", "kernel_id": "53229"}, {"ref": "karthiv/exploratory-analysis-r", "kernel_id": "43483"}, {"ref": "priyaananthram/bnp-correlation-predictions", "kernel_id": "50615"}, {"ref": "rsakata/xgboost-with-combination-of-factors", "kernel_id": "55429"}, {"ref": "kitsenko/notebook-8f4f89df15d78c50851c", "kernel_id": "47040"}, {"ref": "jstaker7/tensorflow-starter", "kernel_id": "38584"}, {"ref": "fracdim/notebook-16c16de18bb0686c9398", "kernel_id": "43842"}, {"ref": "fracdim/my-first-script", "kernel_id": "43844"}, {"ref": "chenditc/extratrees", "kernel_id": "47253"}, {"ref": "dedert/notebook-9cd99545ee5e95d051aa", "kernel_id": "40488"}, {"ref": "dkuehn/notebook-8ac681cf47e1227675ed", "kernel_id": "43675"}, {"ref": "animesh920/notebook-8aca7173b55039bc0fc1", "kernel_id": "51580"}, {"ref": "animesh920/exploring-bnp-data-distributions", "kernel_id": "53180"}, {"ref": "michaelpawlus/xgboost-r-script-giving-0-45846-on-lb", "kernel_id": "39344"}, {"ref": "llopez/exploring-bnp-data-distributions", "kernel_id": "82239"}, {"ref": "llopez/notebook-cfdedc24c4cc08d35a13", "kernel_id": "82248"}, {"ref": "drthwn/notebook-82520ea16f2049a55a92", "kernel_id": "38915"}, {"ref": "zenonofelea/notebook-1e382d2521abe0d54753", "kernel_id": "37831"}, {"ref": "kyunghk/extratrees", "kernel_id": "46553"}, {"ref": "republic966/trail2", "kernel_id": "54505"}, {"ref": "republic966/xgboost-15-02-2016-0-45769", "kernel_id": "55107"}, {"ref": "republic966/trail", "kernel_id": "55071"}, {"ref": "divyanshusuri/test-file", "kernel_id": "39078"}, {"ref": "divyanshusuri/d1ghkp", "kernel_id": "55050"}, {"ref": "knezevic/exploring-bnp-data-distributions", "kernel_id": "44816"}, {"ref": "knezevic/notebook-ca779fe46de2a81c8fa7", "kernel_id": "44821"}, {"ref": "pshelokar/dataanalysis", "kernel_id": "40285"}, {"ref": "bruno16/extratrees", "kernel_id": "46230"}, {"ref": "chengjiun/nearest-neighbour-linear-features", "kernel_id": "54772"}, {"ref": "chengjiun/generic-workflow-for-binary-probability", "kernel_id": "47574"}, {"ref": "tinhkk/exploratory-analysis-r", "kernel_id": "40871"}, {"ref": "tinhkk/notebook-acbec89c1245b857edc6", "kernel_id": "36936"}, {"ref": "numbers/notebook-0a3c41fff305d7d9ab95", "kernel_id": "46674"}, {"ref": "numbers/notebook-83b5500c61cc02d99006", "kernel_id": "46675"}, {"ref": "numbers/notebook-a89106d1490ea59180fa", "kernel_id": "46676"}, {"ref": "vettipaiyan/bare-bones-random-forest", "kernel_id": "36856"}, {"ref": "cubbeewan/notebook-5396e14f0cdf372909bf", "kernel_id": "37852"}, {"ref": "anuragsethi/notebook-bcccd8b43324152cd74d", "kernel_id": "37127"}, {"ref": "etherqua/test-demo", "kernel_id": "45515"}, {"ref": "notalx/notebook-90443ce8480628356f24", "kernel_id": "38701"}, {"ref": "samrotashoka/bnp-xgboost", "kernel_id": "55233"}, {"ref": "samrotashoka/et-classifier", "kernel_id": "53109"}, {"ref": "ksjpswaroop/notebook-174b1316bb190caa29c2", "kernel_id": "54572"}, {"ref": "ksjpswaroop/notebook-f8cc57a78d4f3b3a915b", "kernel_id": "54884"}, {"ref": "ksjpswaroop/notebook-cfbf450c3a47af3397af", "kernel_id": "50805"}, {"ref": "gravity/exploring-bnp-paribas-data", "kernel_id": "40027"}, {"ref": "rsoren/notebook0522592744", "kernel_id": "259173"}, {"ref": "totalrecall/notebook-181e6f0168498a17223e", "kernel_id": "37210"}, {"ref": "totalrecall/notebook-386a9bc780d1a59f2765", "kernel_id": "37206"}, {"ref": "totalrecall/getting-started-0-1-1", "kernel_id": "37498"}, {"ref": "felkelbh/extratrees", "kernel_id": "46191"}, {"ref": "darraghdog/v115-vs-v69", "kernel_id": "43198"}, {"ref": "bibins/notebook-79fae02058ddecfd3387", "kernel_id": "40697"}, {"ref": "bibins/notebook-a860aea78b58c36f6eb9", "kernel_id": "40838"}, {"ref": "pford221/notebook-8e066db34f92009dd2bb", "kernel_id": "41694"}, {"ref": "pford221/deep-nn", "kernel_id": "41695"}, {"ref": "ardalanm/testsd", "kernel_id": "53275"}, {"ref": "ardalanm/notebook-f1f69fd0b5aee1934355", "kernel_id": "53276"}, {"ref": "vbandaru/notebook-987ba6994f394c55ed12", "kernel_id": "43021"}, {"ref": "vbandaru/notebook-cb5c1a9bf4322fb981af", "kernel_id": "43022"}, {"ref": "tantanchen/notebook-51d551b4473e1637c1fe", "kernel_id": "42888"}, {"ref": "wrudebusch/xgboost-erpack", "kernel_id": "55173"}, {"ref": "cartographic/featurehashing-demo", "kernel_id": "45344"}, {"ref": "ouranos/h2o-starter-gbm-v22", "kernel_id": "40523"}, {"ref": "ouranos/lasagne-nn", "kernel_id": "40309"}, {"ref": "oustad/julia-test", "kernel_id": "40321"}, {"ref": "durpani/notebook-3387220e4543dd734f19", "kernel_id": "38353"}, {"ref": "durpani/notebook-19ee5f8485c59279f4fa", "kernel_id": "38973"}, {"ref": "timesler/xgboost-15-02-2016", "kernel_id": "43769"}, {"ref": "rushter/et-classifier", "kernel_id": "48360"}, {"ref": "dataproam/notebook-181ee705572e46b2fb0c", "kernel_id": "49849"}, {"ref": "bguberfain/v22-classifier", "kernel_id": "41118"}, {"ref": "bguberfain/exploring-nan-s", "kernel_id": "40412"}, {"ref": "bguberfain/notebook-d2e797e5184313ad5fbb", "kernel_id": "62979"}, {"ref": "bguberfain/auto-data-un-scaling", "kernel_id": "62969"}, {"ref": "wittmaan/exploring-the-data-1", "kernel_id": "37894"}, {"ref": "arnocandel/h2o-starter-gbm", "kernel_id": "36872"}, {"ref": "melnyk/bnp-correlation-predictions", "kernel_id": "39896"}, {"ref": "ianianchen/notebook-c678ff062b9e1b8fdb85", "kernel_id": "48434"}, {"ref": "ianianchen/testing", "kernel_id": "48431"}, {"ref": "xiaocenxiaocen/notebook-2aa27f8312d143aec3c6", "kernel_id": "47569"}, {"ref": "sebbeaver/notebook-19618bbbff56142b09f7", "kernel_id": "37896"}, {"ref": "kain198/et-classifier", "kernel_id": "53233"}, {"ref": "dkyang/exploring-bnp-data-distributions", "kernel_id": "52115"}, {"ref": "dkyang/exploring-bnp-data-distributions-1", "kernel_id": "52118"}, {"ref": "dkyang/notebook-f7d99d16a8a16d0c3236", "kernel_id": "52119"}, {"ref": "dkyang/notebook-4151e3a303981613f068", "kernel_id": "55110"}, {"ref": "dkyang/notebook-47b9f9b89685e50bebee", "kernel_id": "55111"}, {"ref": "borundev/notebook-00f86f94bc1d409dafce", "kernel_id": "37765"}, {"ref": "scirpus/ordinal-xgb-lb-46190", "kernel_id": "52040"}, {"ref": "scirpus/ordinal-xgb-ii-lb-45787-cv-es", "kernel_id": "54010"}, {"ref": "scirpus/ordinal-xgb-ii-lb-457", "kernel_id": "53560"}, {"ref": "scirpus/genetic-programming-2", "kernel_id": "45597"}, {"ref": "scirpus/benouilli-naive-bayes", "kernel_id": "44370"}, {"ref": "mdarblade/notebook-5a500389429ea54bf8f6", "kernel_id": "40013"}, {"ref": "mehdibarch/notebook-f3d2ee2aa2d5fa9cb076", "kernel_id": "54341"}, {"ref": "mehdibarch/exploring-bnp-data-distributions", "kernel_id": "56089"}, {"ref": "gingayoshizawa/violinplots-of-numeric-variables", "kernel_id": "41285"}, {"ref": "benperd/notebook-ae0bb6849b78f788d991", "kernel_id": "43566"}, {"ref": "beesinspace/hackathon-initial-script", "kernel_id": "47811"}, {"ref": "beesinspace/notebook-35d04096a7f98427dc53", "kernel_id": "47812"}, {"ref": "pixixi/notebook-d4017d6070978d1a6655", "kernel_id": "41698"}, {"ref": "pixixi/xgboost1", "kernel_id": "45573"}, {"ref": "pixixi/xgboost2", "kernel_id": "45565"}, {"ref": "evgenyeltyshev/xgboost-with-combination-of-factors", "kernel_id": "233749"}, {"ref": "cvikas/notebook-9c7e5a3ed69a28118a35", "kernel_id": "45462"}, {"ref": "cvikas/notebook-911f700a26acc17e7d1c", "kernel_id": "51188"}, {"ref": "cvikas/notebook-2969181e22ac676fb224", "kernel_id": "51189"}, {"ref": "cyhong549/notebook-da61a5d4c9d9dbaf47b7", "kernel_id": "44966"}, {"ref": "cyhong549/notebook-91850aab8304270f6a78", "kernel_id": "44962"}, {"ref": "zengjk/notebook420e5c54d8", "kernel_id": "108716"}, {"ref": "ashhafez/extratrees", "kernel_id": "45945"}, {"ref": "akhivis/notebook-dbe2e05ebb5f4f808710", "kernel_id": "51574"}, {"ref": "engenious/generic-workflow-for-binary-probability", "kernel_id": "48668"}, {"ref": "jkim615/notebook-8efc975c2d61e933ccd0", "kernel_id": "48251"}, {"ref": "jkim615/extratreesclassifier-score-0-45750", "kernel_id": "44831"}, {"ref": "pratyush/notebook-b16cfbb41e572c3c4715", "kernel_id": "44184"}, {"ref": "pratyush/exploratory-analysis-r", "kernel_id": "43926"}, {"ref": "tazhoodeen/generic-workflow-for-binary-probability", "kernel_id": "48329"}, {"ref": "tazhoodeen/extratrees", "kernel_id": "47800"}, {"ref": "andirey/notebook-82d9ad84b2f65b6f7b7f", "kernel_id": "39543"}, {"ref": "andirey/r-xgboost-simple-model", "kernel_id": "39748"}, {"ref": "andirey/just-funmodeling", "kernel_id": "44772"}, {"ref": "andirey/visualizing-the-nas", "kernel_id": "45695"}, {"ref": "andirey/extratrees", "kernel_id": "47188"}, {"ref": "wildursus/notebook-1b84ea272871a7632cf1", "kernel_id": "39257"}, {"ref": "maddula/testing", "kernel_id": "52541"}, {"ref": "husseinnegm/simple-xgboost-0-46146", "kernel_id": "36948"}, {"ref": "libfun/notebook-a45cc9eee026452dba5d", "kernel_id": "54625"}, {"ref": "sylvaind/notebook-47232272bcc6d829e38b", "kernel_id": "47183"}, {"ref": "vdpappu/notebook-82cca15752b8930cb460", "kernel_id": "49815"}, {"ref": "chrislontos/knntest", "kernel_id": "55172"}, {"ref": "pipeno/notebook-db41479af1572349b99f", "kernel_id": "51440"}, {"ref": "pipeno/notebook-80ac759f926f4205ab2c", "kernel_id": "49464"}, {"ref": "pipeno/exploring-bnp-data-distributions", "kernel_id": "49063"}, {"ref": "pipeno/notebook-a7ef1b9266cd65fd5a6f", "kernel_id": "50496"}, {"ref": "pipeno/bnp-correlation-predictions", "kernel_id": "50523"}, {"ref": "fatboyslip/notebook-bc51156d0dbbb69f4cb9", "kernel_id": "47998"}, {"ref": "fatboyslip/extratrees", "kernel_id": "48115"}, {"ref": "fatboyslip/notebook-d162db7d994232df2cd8", "kernel_id": "48340"}, {"ref": "hshihab/xgboost-giving-0-45846-on-lb", "kernel_id": "38858"}, {"ref": "yangrui/notebook-c809d6f3fbbbd08ee7ce", "kernel_id": "40112"}, {"ref": "cttsai/notebook-c242429040defd50f372", "kernel_id": "44983"}, {"ref": "justfor/xgb-cross-val-and-feat-select", "kernel_id": "39417"}, {"ref": "dellarosa/notebook-39a98bd3f40f0eea5154", "kernel_id": "38564"}, {"ref": "datake/notebook-949d5d4d016ab2f9f267", "kernel_id": "55076"}, {"ref": "cliffpackman/xgboost-r-script-giving-0-45846-on-lb", "kernel_id": "38187"}, {"ref": "cliffpackman/notebook-63affc0dac737101b788", "kernel_id": "38055"}, {"ref": "cliffpackman/simple-xgboost-0-46146", "kernel_id": "37991"}, {"ref": "udimus/notebook-28337dc5b3e9f4771886", "kernel_id": "40530"}, {"ref": "ubsingh9/xgboost-15-02-2016-0-45769", "kernel_id": "46921"}, {"ref": "shadowhunter/notebook-7ef963ad8f157722e20e", "kernel_id": "48177"}, {"ref": "scsmith2/et-classifier", "kernel_id": "48842"}, {"ref": "ricardom/notebook-9b60d5fc9cefbaf8fecd", "kernel_id": "52756"}, {"ref": "signochastic/featurehashing-demo", "kernel_id": "46625"}, {"ref": "signochastic/extratrees", "kernel_id": "46188"}, {"ref": "signochastic/bare-bones-random-forest", "kernel_id": "36803"}, {"ref": "signochastic/blending-trees", "kernel_id": "39056"}, {"ref": "loic74/notebook-40428dd6648f6aa4a58d", "kernel_id": "49261"}, {"ref": "sanjeevmk/notebook-14fd7cc47df2c0a83a12", "kernel_id": "45082"}, {"ref": "sanjeevmk/data-analysis", "kernel_id": "45101"}, {"ref": "sanjeevmk/notebook-95923cc55150d5056d38", "kernel_id": "45130"}, {"ref": "sanjeevmk/notebook-3312369ed081abe815cf", "kernel_id": "45131"}, {"ref": "sanjeevmk/collect-and-clean", "kernel_id": "45455"}, {"ref": "sanjeevmk/notebook-bdae3320898eb10b647f", "kernel_id": "45453"}, {"ref": "sanjeevmk/get-input", "kernel_id": "45468"}, {"ref": "sanjeevmk/notebook-5083300b3ab794ab5c0f", "kernel_id": "45492"}, {"ref": "sanjeevmk/notebook-470b86986096f168acad", "kernel_id": "45513"}, {"ref": "weiqingy/generic-workflow-for-binary-probability", "kernel_id": "48343"}, {"ref": "bmetka/notebook-65c9ccb001ca3447cbfe", "kernel_id": "40781"}, {"ref": "abhisheknsit/notebook-5ed0ae6aa35d23db3c01", "kernel_id": "42848"}, {"ref": "abhisheknsit/notebook-54565af9a8f2ccc474a6", "kernel_id": "42732"}, {"ref": "threeplusme/xgb-cross-val-and-feat-select", "kernel_id": "39593"}, {"ref": "vasantha/bnp-paribas", "kernel_id": "46377"}, {"ref": "samik01/claimsclassification", "kernel_id": "43164"}, {"ref": "innerproduct/etclassifier-feature-importances", "kernel_id": "50035"}, {"ref": "innerproduct/extratrees-nb", "kernel_id": "46245"}, {"ref": "giovannidoni/notebook-75964d8a1c6c877fbbd9", "kernel_id": "47822"}, {"ref": "giovannidoni/notebook-2d39b7aa6e5a58e28787", "kernel_id": "47823"}, {"ref": "liuchengwang/bnp-correlation-predictions", "kernel_id": "51551"}, {"ref": "harshratde/exploring-bnp-data-distributions", "kernel_id": "43405"}, {"ref": "harshratde/exploring-bnp-paribas-data", "kernel_id": "43407"}, {"ref": "harshratde/notebook-d26c98299c03f8ce54ae", "kernel_id": "43668"}, {"ref": "lamdang/notebook-4056c74cb78f04d1fcbb", "kernel_id": "45646"}, {"ref": "caaa81/bare-bones-random-forest", "kernel_id": "36957"}, {"ref": "cheers/notebook-e464dbb3f4972d46e663", "kernel_id": "40227"}, {"ref": "cheers/notebook-309db56a8a7f61f0b1fd", "kernel_id": "40228"}, {"ref": "timothychung/notebook-304be292f9b5c6021e18", "kernel_id": "40092"}, {"ref": "trottefox/blending-trees", "kernel_id": "38380"}, {"ref": "trottefox/nearest-neighbour-linear-features", "kernel_id": "54250"}, {"ref": "lbassem/notebook-d2d0dfc4cbc0762d4807", "kernel_id": "45713"}, {"ref": "lbassem/notebook-1350fd26e6c09d35110b", "kernel_id": "45714"}, {"ref": "lbassem/notebook-f16c727ac3f180d12f71", "kernel_id": "45716"}, {"ref": "lbassem/notebook-8a9e99395fa693f46d42", "kernel_id": "45717"}, {"ref": "wactal/notebook-9a196b8183d15b76f3a7", "kernel_id": "43742"}, {"ref": "wactal/notebook-9c3e9abb3832b03e95d7", "kernel_id": "43980"}, {"ref": "wactal/notebook-6285d725ef265daadc2a", "kernel_id": "43978"}, {"ref": "matfiore/notebook-361ae3c02adc2857a413", "kernel_id": "47814"}, {"ref": "matfiore/notebook-9953e5328c787bf4ef11", "kernel_id": "47815"}, {"ref": "feldsherov/notebook-0fe2f9e2c5a18d3989d2", "kernel_id": "40755"}, {"ref": "fmarinp/test01", "kernel_id": "55017"}, {"ref": "fmarinp/notebook-d390b08dc2b6bef71954", "kernel_id": "55027"}, {"ref": "fmarinp/extratreesclassifier002", "kernel_id": "53768"}, {"ref": "kotomord/nearest-neighbour-linear-features", "kernel_id": "54650"}, {"ref": "dkozyr/xgb-feature-experiments", "kernel_id": "40127"}, {"ref": "dkozyr/xgboost-tiny", "kernel_id": "40170"}, {"ref": "dkozyr/xgb-quick-hack", "kernel_id": "37130"}, {"ref": "fsimond/extratrees", "kernel_id": "46428"}, {"ref": "fsimond/auc-check-on-features", "kernel_id": "44477"}, {"ref": "fsimond/notebook-4fee0fcd8936701f8dea", "kernel_id": "40193"}, {"ref": "guangyoung/exploring-bnp-paribas-data", "kernel_id": "43186"}, {"ref": "guangyoung/notebook-9eb3316828376e21dc90", "kernel_id": "43148"}, {"ref": "guangyoung/notebook-56e2e8f0d86faab61a41", "kernel_id": "43158"}, {"ref": "duthchao/xgboost-with-combination-of-factor", "kernel_id": "86815"}, {"ref": "paurabassa/notebook-5e593f4a2d568a72c6f6", "kernel_id": "39867"}, {"ref": "springerone/notebook-01821f4ff228c4678699", "kernel_id": "47534"}, {"ref": "canran/notebook-cd265734c72f197efd33", "kernel_id": "81900"}, {"ref": "bodhbhdearg/notebook6493ae28fd", "kernel_id": "105001"}, {"ref": "liyadong1102/notebook-54efabcd5f5b0a6ad029", "kernel_id": "52974"}, {"ref": "avinashgupta/notebook-531941734305e3749632", "kernel_id": "41481"}, {"ref": "avinashgupta/notebook-7f9e1f99fe51e1377ac6", "kernel_id": "41483"}, {"ref": "akaggleg/xgboost-hyperopt-with-early-stopping", "kernel_id": "48353"}, {"ref": "mtfall/notebookc344a5bb85", "kernel_id": "184146"}, {"ref": "chambox/xgb-cross-val-and-feat-selected", "kernel_id": "40844"}, {"ref": "chambox/predicting-bnp", "kernel_id": "40845"}, {"ref": "yangnanhai/extratrees", "kernel_id": "46399"}, {"ref": "hanshan/notebook-279e5250eb754834a72a", "kernel_id": "40422"}, {"ref": "thomaspaul/extratrees", "kernel_id": "46284"}, {"ref": "karma86/notebook-c3d6b4f4c2c5442a869f", "kernel_id": "53617"}, {"ref": "bharath90/kjjjjk", "kernel_id": "37221"}, {"ref": "pemman/notebook-570d4d76cc78dda7a3b4", "kernel_id": "52479"}, {"ref": "pemman/et-classifierb", "kernel_id": "52480"}, {"ref": "aldente/generic-workflow-for-binary-probability", "kernel_id": "50378"}, {"ref": "pauloalves/show-ram", "kernel_id": "38864"}, {"ref": "tsonguyen/notebook-12dfb244ea06c1672efc", "kernel_id": "45058"}, {"ref": "khaledfayed/xgb-quick-hack1", "kernel_id": "37160"}, {"ref": "pavan22/bnptest", "kernel_id": "51916"}, {"ref": "analyticsbabu/notebook-de7cccb30e97ff8e9e7f", "kernel_id": "51921"}, {"ref": "analyticsbabu/hellokaggle123", "kernel_id": "51857"}, {"ref": "analyticsbabu/notebook-09ea15c15600b2f5a574", "kernel_id": "51859"}, {"ref": "analyticsbabu/hellokaggle1234", "kernel_id": "51860"}, {"ref": "wliping/notebook-1c6f8a169e48bad953c9", "kernel_id": "44384"}, {"ref": "kaushikchowdhury/notebook-7713987b823e45323555", "kernel_id": "72325"}, {"ref": "ezietsman/notebook-0ec2bd6e73f1bca2d3b9", "kernel_id": "37897"}, {"ref": "amandus/can-rf-challenge-xgboost", "kernel_id": "38540"}, {"ref": "rganeshprasath/bnp-paribas-prelim", "kernel_id": "46125"}, {"ref": "momoag/notebook-6dee101ee3015f8637f0", "kernel_id": "40429"}, {"ref": "momoag/notebook-d675af84cba2106deb17", "kernel_id": "38897"}, {"ref": "bbuluttekin/notebook-424c1138075c806722de", "kernel_id": "51393"}, {"ref": "bbuluttekin/notebook-d1344e1d37353ad6d6a7", "kernel_id": "51394"}, {"ref": "hellothere0113/notebook-b643ad47ed184d386a20", "kernel_id": "54913"}, {"ref": "pridhvic/beat-the-benchmark", "kernel_id": "37775"}, {"ref": "pridhvic/xgboost-r-script-giving-0-45846-on-lb", "kernel_id": "39002"}, {"ref": "aaronkub/too-simple-random-forest-model", "kernel_id": "38934"}, {"ref": "aaronkub/rf-w-numerics-subset-of-categoricals", "kernel_id": "40016"}, {"ref": "behrang/rf-test", "kernel_id": "46915"}, {"ref": "behrang/et-test", "kernel_id": "46974"}, {"ref": "pthapali/h20-deeplearning", "kernel_id": "38035"}, {"ref": "pthapali/notebook-e240668e7338246d85c2", "kernel_id": "38021"}, {"ref": "balakumarank/bnp1234", "kernel_id": "40100"}, {"ref": "mujtabaasif/notebook-48b247c02a96f471c516", "kernel_id": "52805"}, {"ref": "mujtabaasif/notebook-16074853ce0caeabcdf6", "kernel_id": "55160"}, {"ref": "mujtabaasif/extratrees", "kernel_id": "45857"}, {"ref": "gowham91m/notebook-e38073679452b9cb8302", "kernel_id": "37269"}, {"ref": "jdmull/r-xgboost-simple-model", "kernel_id": "37853"}, {"ref": "jdmull/simple-xgboost-0-46146", "kernel_id": "37823"}, {"ref": "kes367/extratrees", "kernel_id": "51213"}, {"ref": "blackcore/extratreesclassifier-test", "kernel_id": "45843"}, {"ref": "blackcore/extratrees-test", "kernel_id": "46139"}, {"ref": "blackcore/xgboost-1", "kernel_id": "43961"}, {"ref": "sakvaua/simple-na-visualization-python-script", "kernel_id": "51639"}, {"ref": "melkitoldi/notebook-2b53718d543a67ef027b", "kernel_id": "36961"}, {"ref": "amityadav/notebook-0b72da24465f559822cb", "kernel_id": "39925"}, {"ref": "florianj/notebook-c6d3ac3e922d4e38ec59", "kernel_id": "50902"}, {"ref": "florianj/notebook-c4a08e989d0a60eed4d2", "kernel_id": "50903"}, {"ref": "ys19931006/blending-trees", "kernel_id": "38482"}, {"ref": "nanarora/notebook-58adc0c2e4f31f6ed045", "kernel_id": "45626"}, {"ref": "anupam1924/h20-1", "kernel_id": "37034"}, {"ref": "linjunli/notebook-516922416c00e472821f", "kernel_id": "48155"}, {"ref": "linjunli/notebook-f3587e939872c6733cad", "kernel_id": "48158"}, {"ref": "linjunli/notebook-13fd39f72b805e229aab", "kernel_id": "48159"}, {"ref": "paullo0106/visualizing-the-nas-in-python", "kernel_id": "49561"}, {"ref": "paullo0106/tensorflow-starter", "kernel_id": "53788"}, {"ref": "chengcen/notebook-a16753f0a3f4eb5d1190", "kernel_id": "39432"}, {"ref": "sionek/test0001-xgb", "kernel_id": "40126"}, {"ref": "jpmiller/grouping-items-by-stockout-pattern", "kernel_id": "44700"}, {"ref": "kanalytics/exploring-bnp-data-distributions", "kernel_id": "131955"}, {"ref": "kanalytics/bnp-correlation-predictions", "kernel_id": "131957"}, {"ref": "jszymczak/h2o-test-again", "kernel_id": "40839"}, {"ref": "jeddeh/notebook-660c9aa83b8d3c073472", "kernel_id": "37298"}, {"ref": "nvergos/notebook-a340892d11b11db2c19a", "kernel_id": "49358"}, {"ref": "nvergos/notebook-e5197368fc48c7f539ec", "kernel_id": "49356"}, {"ref": "sanjay1970/notebook-d7541f218858b02ad2be", "kernel_id": "44552"}, {"ref": "anilcs/et-classifier", "kernel_id": "49116"}, {"ref": "anilcs/sgd-with-cv", "kernel_id": "49122"}, {"ref": "anilcs/ectra-with-new-features", "kernel_id": "49757"}, {"ref": "anilcs/exploring-bnp-data-distributions", "kernel_id": "48176"}, {"ref": "anilcs/xgboost-r-script-giving-0-45846-on-lb", "kernel_id": "51547"}, {"ref": "samuleev/notebook-a39bbe192f8c6d942492", "kernel_id": "42866"}, {"ref": "shgktssh/notebook-e8fd671ed0c38d233bf8", "kernel_id": "38121"}, {"ref": "vlandeau/notebook-9ce55d4fc306a16b2629", "kernel_id": "46687"}, {"ref": "vlandeau/notebook-da1e7fb898f5373590ea", "kernel_id": "46945"}, {"ref": "vlandeau/notebook-472ed8d35909119d9fb0", "kernel_id": "46386"}, {"ref": "vlandeau/notebook-3dbea639cb0c3f853186", "kernel_id": "45732"}, {"ref": "vlandeau/notebook-06d61af99674be6b5ca8", "kernel_id": "45752"}, {"ref": "vlandeau/notebook-dcd21158791e813293f6", "kernel_id": "45994"}, {"ref": "vlandeau/notebook-2dc575324765a478e93b", "kernel_id": "45483"}, {"ref": "vlandeau/notebook-b4a685e322d8b925b5c8", "kernel_id": "44635"}, {"ref": "vlandeau/notebook-f5f72a7af3f9513a944c", "kernel_id": "44636"}, {"ref": "vlandeau/notebook-e8a1f3fe0a06db9cc2dd", "kernel_id": "44911"}, {"ref": "vlandeau/notebook-b1552742bb2be4b0828b", "kernel_id": "44912"}, {"ref": "hyoseok/notebook-3844be485eb26704d9a4", "kernel_id": "53523"}, {"ref": "atique/bnp-correlation-predictions", "kernel_id": "40471"}, {"ref": "hdykiel/notebook-c8a12da6a371e2bff96e", "kernel_id": "39452"}, {"ref": "misha1993/notebook-8f070ab156434d16d2ec", "kernel_id": "40440"}, {"ref": "remap1/correlations", "kernel_id": "37309"}, {"ref": "remap1/xgb-quick-hack", "kernel_id": "36799"}, {"ref": "arpangupta87/deeplearning", "kernel_id": "41512"}, {"ref": "arpangupta87/xgb-cross-val-and-feat-selected", "kernel_id": "41501"}, {"ref": "arpangupta87/deep-nn", "kernel_id": "41531"}, {"ref": "arpangupta87/deeplearning-new", "kernel_id": "41518"}, {"ref": "solegalli/notebook-c527550cea47ea801633", "kernel_id": "55881"}, {"ref": "zihaozhang92/v22-classifier", "kernel_id": "45240"}, {"ref": "zihaozhang92/notebook-974b4920410230d836dd", "kernel_id": "45241"}, {"ref": "mohitmohan/notebook-2ff755eefc548d716bca", "kernel_id": "37006"}, {"ref": "aldocp/generic-workflow-for-binary-probability", "kernel_id": "49774"}, {"ref": "kbartol/extratrees", "kernel_id": "47326"}, {"ref": "prmdsharma/notebook-bc9e787d616cf148a26c", "kernel_id": "45371"}, {"ref": "prmdsharma/xgb-cross-val-and-feat-selected", "kernel_id": "45372"}, {"ref": "nat999/notebook-8420cdc7642c791c9e72", "kernel_id": "52658"}, {"ref": "princelance/notebook-e5ead1703bc859b274b2", "kernel_id": "48930"}, {"ref": "ramankaggle/et-classifier", "kernel_id": "51031"}, {"ref": "chabir/notebook-5543951ba5d93c739e7c", "kernel_id": "51700"}, {"ref": "chabir/notebook-352eb5042b43b49f0038", "kernel_id": "51701"}, {"ref": "chabir/notebook-600836a37e477c515b9d", "kernel_id": "51690"}, {"ref": "chabir/notebook-33d707c30284ef97e3d5", "kernel_id": "51637"}, {"ref": "chabir/notebook-1f40e338d69d52113c74", "kernel_id": "53319"}, {"ref": "chabir/notebook-4040d7684cbf687f43d8", "kernel_id": "53315"}, {"ref": "chabir/extratreesclassifier-score-0-45755", "kernel_id": "45409"}, {"ref": "chabir/extratreesclassifier-score-0-45-v5", "kernel_id": "45705"}, {"ref": "esztis/notebook-30cd5729e7b6f99638ca", "kernel_id": "50021"}, {"ref": "dlajeunesse/notebook-a61dff76858adf94f9a4", "kernel_id": "37859"}, {"ref": "pchitta/boost-try", "kernel_id": "39482"}, {"ref": "karachunmichael/notebook-33455d88ace596875691", "kernel_id": "46449"}, {"ref": "saravanann/bnp-cardif", "kernel_id": "48502"}, {"ref": "happycube/simple-cv-example-one-feature-near-rf", "kernel_id": "39215"}, {"ref": "happycube/notebook-64cba199bdff31e3e1d2", "kernel_id": "43778"}, {"ref": "happycube/exploratory-analysis-r", "kernel_id": "43827"}, {"ref": "happycube/ordinal-xgb-ii-lb-45787-cv-es", "kernel_id": "53752"}, {"ref": "anusha39/notebook-44dc709efb7306ca6205", "kernel_id": "43523"}, {"ref": "swaggaone/extratreesclassifier002", "kernel_id": "46829"}, {"ref": "aky1994/notebook-cbaa5be2d4fea1dbf966", "kernel_id": "52990"}, {"ref": "pjoshi15/my-first-script", "kernel_id": "40000"}, {"ref": "plutolove/noothing", "kernel_id": "40506"}, {"ref": "hardeeparora/notebook-673416b97da925a9d65d", "kernel_id": "57464"}, {"ref": "shrikeler/notebook-e28cd382a6b09b83c765", "kernel_id": "45005"}, {"ref": "shrikeler/notebook-361963303f278a702dc7", "kernel_id": "44998"}, {"ref": "catena/extratrees", "kernel_id": "45973"}, {"ref": "zeliek/exploring-bnp-data-distributions", "kernel_id": "45032"}, {"ref": "algonell/bnp-paribas-fusion", "kernel_id": "53571"}, {"ref": "algonell/notebook-492154cde7a97e68e6b3", "kernel_id": "53991"}, {"ref": "arhiitkgp/notebook-730c106be84bd16f6b09", "kernel_id": "40532"}, {"ref": "arhiitkgp/notebook-44e538d18022313503c4", "kernel_id": "40709"}, {"ref": "towhid1/checking2", "kernel_id": "51796"}, {"ref": "towhid1/notebook-013c4c266765a849cce3", "kernel_id": "51797"}, {"ref": "towhid1/notebook-890fd7a7133077f4af93", "kernel_id": "51807"}, {"ref": "towhid1/notebook-54c405fb4ab4c2fdad24", "kernel_id": "51829"}, {"ref": "towhid1/notebook-0070fb0861c40a09ba91", "kernel_id": "51835"}, {"ref": "towhid1/notebook-c5b1747dd5a9e997c4ef", "kernel_id": "53249"}, {"ref": "jkane3/notebook-b7f35c7363b6c77fc27f", "kernel_id": "38561"}, {"ref": "qprofit/notebook-240602cdd503d05a6fc1", "kernel_id": "51522"}, {"ref": "karanmangla/notebook-3ab089555b74dea8a06d", "kernel_id": "52819"}, {"ref": "sajal0jain/extratreesclassifier002", "kernel_id": "54056"}, {"ref": "whizkido/notebook-b6eb0882eb6aeabe1b9f", "kernel_id": "52419"}, {"ref": "chenchaodev/auto-data-un-scaling", "kernel_id": "94386"}, {"ref": "chenchaodev/bruno-g-do-amaral-v22", "kernel_id": "94397"}, {"ref": "chenchaodev/bnp-correlation-predictions", "kernel_id": "94833"}, {"ref": "justart/notebook-e6d319c8b26f186c1b76", "kernel_id": "48293"}, {"ref": "lenau87/notebook-08d9493a65d040ae6f6d", "kernel_id": "43471"}, {"ref": "ashubhargave/notebook-f905e9db65a179f55759", "kernel_id": "43302"}, {"ref": "jeromesonnet/notebook-fcb75f2783472add8485", "kernel_id": "37418"}, {"ref": "ranpan/extratrees", "kernel_id": "46779"}, {"ref": "ranpan/whatisthis", "kernel_id": "46780"}, {"ref": "gudunku/r-xgboost-simple-model-2", "kernel_id": "39089"}, {"ref": "gudunku/r-xgboost-simple-model", "kernel_id": "37761"}, {"ref": "jibybabu/notebook-1c45f2468817530d6bde", "kernel_id": "42896"}, {"ref": "jibybabu/notebook-8beeba21d3eb0212a3bd", "kernel_id": "42897"}, {"ref": "wnikhil/test-script", "kernel_id": "37857"}, {"ref": "wnikhil/test-note-1", "kernel_id": "37860"}, {"ref": "kippinei/exploratory-analysis-r", "kernel_id": "40367"}, {"ref": "kippinei/notebook-448c64c547236f324d8a", "kernel_id": "40370"}, {"ref": "kippinei/notebook-1be3dadb3457b9ebb56c", "kernel_id": "40547"}, {"ref": "phegde/notebook-e335648b19fc2be13940", "kernel_id": "47773"}, {"ref": "polosot/notebook-0f2b0c76b9f7420c2d20", "kernel_id": "55436"}, {"ref": "gutokonzen/extratrees", "kernel_id": "46293"}, {"ref": "eddietheeagle/notebook-a099b92a023f34d7e3e9", "kernel_id": "39551"}, {"ref": "eddietheeagle/exploratory-data-analysis", "kernel_id": "39660"}, {"ref": "eddietheeagle/notebook-962af67181b0c7b58b3b", "kernel_id": "39662"}, {"ref": "jop5oup/notebook-067b12cfa75fd1d8863e", "kernel_id": "52624"}, {"ref": "jop5oup/testtest", "kernel_id": "54443"}, {"ref": "jop5oup/testtest2", "kernel_id": "54444"}, {"ref": "kalyanp/multilogloss", "kernel_id": "39918"}, {"ref": "kalyanp/classification-regression", "kernel_id": "37724"}, {"ref": "dujekmancin/notebook-84173a97e3aa5c7c4366", "kernel_id": "53385"}, {"ref": "dujekmancin/notebook-f87b97199f2e63482012", "kernel_id": "53370"}, {"ref": "dujekmancin/bnp-correlation-predictions", "kernel_id": "53078"}, {"ref": "johnfreeman/1123ddd", "kernel_id": "40576"}, {"ref": "kaggle4/blending-trees", "kernel_id": "39057"}, {"ref": "kaggle4/notebook-7398af2d3b60c98f204a", "kernel_id": "37117"}, {"ref": "tunguz/xgboost-15-02-2016-0-45769", "kernel_id": "45383"}, {"ref": "tunguz/h2o-gbm-r", "kernel_id": "37118"}, {"ref": "tunguz/bare-bones-random-forest", "kernel_id": "36796"}, {"ref": "gupta17anukriti/try1111", "kernel_id": "44164"}, {"ref": "gupta17anukriti/abbbbbb", "kernel_id": "43866"}, {"ref": "gupta17anukriti/teshujy", "kernel_id": "43863"}, {"ref": "millerintllc/modified-tree-model", "kernel_id": "39787"}, {"ref": "millerintllc/modified-tree-model-v2", "kernel_id": "39795"}, {"ref": "tyz910/notebook-8ca274e1b669f7a97627", "kernel_id": "49714"}, {"ref": "jdenos/notebook-bdd3161201b1e636b4d7", "kernel_id": "49875"}, {"ref": "anujgupta/exploring-paribas-data", "kernel_id": "67486"}, {"ref": "jordanmicahbennett/fragmentary-intemperate-inference", "kernel_id": "47778"}, {"ref": "awangntu/notebook-bdeea2593a4821d6dd25", "kernel_id": "44605"}, {"ref": "awangntu/notebook-32c5f916dbcd5ef8c562", "kernel_id": "44606"}, {"ref": "yogeshparte/notebook609cb0b199", "kernel_id": "132542"}, {"ref": "michaelfan/h2o-gbm-r", "kernel_id": "37004"}, {"ref": "michaelfan/extratree", "kernel_id": "48462"}, {"ref": "michaelfan/extreeeemetreee", "kernel_id": "47504"}, {"ref": "michaelfan/extraboostree", "kernel_id": "45456"}, {"ref": "aaronpennington/etclassifierdb", "kernel_id": "50847"}, {"ref": "aaronpennington/exploring-bnp-data-distributions", "kernel_id": "51245"}, {"ref": "chuhimself/elementary-analysis", "kernel_id": "39960"}, {"ref": "chuhimself/notebook-6db8fc27f5b583277122", "kernel_id": "39961"}, {"ref": "chuhimself/beginner-analysis", "kernel_id": "39962"}, {"ref": "wusiyue93/notebook-e8bcd1f8371ec0c99c35", "kernel_id": "49638"}, {"ref": "yyao12/notebook-402175a273b4e5f6c993", "kernel_id": "60369"}, {"ref": "giridharan1981/13-pc-from-continuous-features", "kernel_id": "50711"}, {"ref": "giridharan1981/notebook-b7187469fa06de8d50cf", "kernel_id": "45322"}, {"ref": "giridharan1981/avoid-collinearity-minimum-impact-of-na", "kernel_id": "46104"}, {"ref": "ilovetlic/notebook-d47bcd5fabe0aaded197", "kernel_id": "44669"}, {"ref": "miyataemy/notebook-5cda04f05a0d5663998f", "kernel_id": "43814"}, {"ref": "ashokbandrevu/notebook-d581d2a3190b95055083", "kernel_id": "38611"}, {"ref": "tianyeeee/exploring-bnp-data-distributions", "kernel_id": "48876"}, {"ref": "tianyeeee/notebook-732880032963c25cf6b6", "kernel_id": "48877"}, {"ref": "rajeshdata2015/bnp-0-48-lb", "kernel_id": "39635"}, {"ref": "vivekallu/exploring-bnp-data-distributions", "kernel_id": "43795"}, {"ref": "anantb/notebook-db8cd12a1126eee4659b", "kernel_id": "42914"}, {"ref": "anantb/notebook-c0864e52d7fe2fcac44e", "kernel_id": "42915"}, {"ref": "anantb/aaaaaa", "kernel_id": "42909"}, {"ref": "yannickflores/notebook-b10d5c9d1028a6b7924a", "kernel_id": "37599"}, {"ref": "glj898932/notebook-f9fd6fdc6c037b7fb270", "kernel_id": "38789"}, {"ref": "glj898932/notebook-4af4a1d23716afaf7ab8", "kernel_id": "38780"}, {"ref": "glj898932/testmys", "kernel_id": "38781"}, {"ref": "glj898932/notebook-21089d7994821563689c", "kernel_id": "38783"}, {"ref": "glj898932/notebook-aeda335b903c86d9d8c5", "kernel_id": "38785"}, {"ref": "glj898932/jioerjiobheorjhip", "kernel_id": "37081"}, {"ref": "glj898932/testt", "kernel_id": "37041"}, {"ref": "glj898932/notebook-69d621552c70229ab7cb", "kernel_id": "37056"}, {"ref": "stephanecollot/visualizing-the-nas", "kernel_id": "51481"}, {"ref": "caille/notebook-690834cf82253b92c212", "kernel_id": "39595"}, {"ref": "albasir/notebook-928504dc1c19b8e414f1", "kernel_id": "38389"}, {"ref": "yar0vik/test-code", "kernel_id": "47581"}, {"ref": "yar0vik/notebook-9c2b34e34465f5d5a329", "kernel_id": "47593"}, {"ref": "yar0vik/notebook-ab08fbde9a6146f600b7", "kernel_id": "47594"}, {"ref": "yar0vik/notebook-03dbdf1fc08bf00f338d", "kernel_id": "47595"}, {"ref": "yar0vik/r-notebook", "kernel_id": "48537"}, {"ref": "yar0vik/notebook-f64466fd19f89d9aafcb", "kernel_id": "48748"}, {"ref": "yar0vik/notebook-9005d9a1fa4db462d6c2", "kernel_id": "48743"}, {"ref": "yar0vik/notebook-98cec0b59c017438b262", "kernel_id": "48740"}, {"ref": "yar0vik/notebook-c2a06b4324d46f0e1b4e", "kernel_id": "48336"}, {"ref": "yar0vik/notebook-2dd7286f089a40ae5281", "kernel_id": "48337"}, {"ref": "yar0vik/notebook-1d8e7623eb8f97edf281", "kernel_id": "48338"}, {"ref": "yar0vik/notebook-35807cb89be1c615de17", "kernel_id": "48339"}, {"ref": "yar0vik/notebook-a1182682130a9b0fae18", "kernel_id": "48341"}, {"ref": "yar0vik/notebook-80fcff9f40172469b81b", "kernel_id": "48218"}, {"ref": "yar0vik/notebook-6450dbcf5a038e80a5f5", "kernel_id": "48219"}, {"ref": "yar0vik/notebook-da92b752d1648e870457", "kernel_id": "48220"}, {"ref": "yar0vik/notebook-8d8af32f8c206b89e24e", "kernel_id": "48221"}, {"ref": "yar0vik/notebook-2c268b3e85d7a54571e5", "kernel_id": "48222"}, {"ref": "yar0vik/notebook-7c3ebb013a2808f5b9ce", "kernel_id": "48194"}, {"ref": "yar0vik/notebook-7cc87263d0215e00c46f", "kernel_id": "48195"}, {"ref": "yar0vik/notebook-20ecd2187e5bffaf9137", "kernel_id": "48165"}, {"ref": "yar0vik/notebook-89025fa8d05b58294320", "kernel_id": "50772"}, {"ref": "yar0vik/notebook-ae4ba64b227efe04208d", "kernel_id": "50709"}, {"ref": "yar0vik/notebook-1d99f97fbda91e3026d0", "kernel_id": "50703"}, {"ref": "yar0vik/notebook-03f0c21ce73568d877bd", "kernel_id": "49208"}, {"ref": "yar0vik/notebook-5cf9f4d72b9ff358edea", "kernel_id": "50954"}, {"ref": "tonylin/generic-workflow-for-binary-probability", "kernel_id": "50721"}, {"ref": "tonylin/nearest-neighbour-linear-features", "kernel_id": "54595"}, {"ref": "omarelgabry/bnp-correlation-predictions", "kernel_id": "39296"}, {"ref": "reneboy/sample-mean-for-bnp-paribas-cardif", "kernel_id": "39841"}, {"ref": "luigiassenza/prediction-model", "kernel_id": "49547"}, {"ref": "juliavasilkova/notebook-8bc5e9d9748f09cb29e6", "kernel_id": "48170"}, {"ref": "analyticalsense/notebook-31e0b557feca0d163061", "kernel_id": "46137"}, {"ref": "kamfonas/notebook-c506ac97958984b45d9f", "kernel_id": "37885"}, {"ref": "kamfonas/notebook-574f628e0d15f95ec9e0", "kernel_id": "37886"}, {"ref": "swchen0215/notebook-253a1a5315150aa8ccdc", "kernel_id": "47456"}, {"ref": "ashwinikmr/notebook9d3a3cdc51", "kernel_id": "204567"}, {"ref": "dodo1032/notebook-5c6931f41ce345644368", "kernel_id": "50924"}, {"ref": "dodo1032/notebook-57cad859002dcd9a6120", "kernel_id": "50925"}, {"ref": "carlomazzaferro/notebook-d5e11f94a12341026cf7", "kernel_id": "43349"}, {"ref": "bobcz3/notebook-ad10675fe2d6c6add088", "kernel_id": "40643"}, {"ref": "bobcz3/exploring-data-distributions", "kernel_id": "40635"}, {"ref": "bobcz3/notebook-187954c95fd5399890a4", "kernel_id": "40640"}, {"ref": "bobcz3/exploring-bnp-data-distributions", "kernel_id": "40641"}, {"ref": "caspik/explore-data", "kernel_id": "38447"}, {"ref": "josephpr/notebook-6d490caf7aa079f03236", "kernel_id": "70193"}, {"ref": "josephpr/notebook-3ee17ced05ce1289843a", "kernel_id": "40621"}, {"ref": "josephpr/exploratory-analysis-r", "kernel_id": "40623"}, {"ref": "josephpr/notebook-e2a0937dd65f9aae4bd5", "kernel_id": "40624"}, {"ref": "nuitnoir/notebook-da4a2fef38b2dd040af1", "kernel_id": "38810"}, {"ref": "youshu/notebook-1624a76d50615682f8a1", "kernel_id": "48463"}, {"ref": "kiran1295/exploring-bnp-data-distributions", "kernel_id": "44728"}, {"ref": "insaff/trees", "kernel_id": "47364"}, {"ref": "insaff/xgboost", "kernel_id": "47377"}, {"ref": "hyeyoung/notebook-a7ed687a86f1e022ab81", "kernel_id": "46546"}, {"ref": "dusj1993/notebook-f6ac796d9446ec05ad70", "kernel_id": "51558"}, {"ref": "varunpa/notebook-3c5fb42004687e9b09f8", "kernel_id": "44155"}, {"ref": "varunpa/xgboost-r-script-giving-0-45846-on-lb", "kernel_id": "44156"}, {"ref": "druzizlisu/notebook-5cb9a88d06d07389e391", "kernel_id": "41443"}, {"ref": "druzizlisu/notebook-c60503182da5eea0fe09", "kernel_id": "41445"}, {"ref": "druzizlisu/xgb-cross-val-and-feat-selected", "kernel_id": "41433"}, {"ref": "datawitches/test-001", "kernel_id": "43909"}, {"ref": "datawitches/generic-workflow-for-binary-probability", "kernel_id": "48107"}, {"ref": "kalinstoyanov/notebook-50796b3990a74006f6e1", "kernel_id": "50450"}, {"ref": "kalinstoyanov/notebook-34e7c8175dbd76038bfe", "kernel_id": "51398"}, {"ref": "kalinstoyanov/notebook-8d6d13ac7fc7aa0d7c36", "kernel_id": "43028"}, {"ref": "thomaskahn/initial-exploration", "kernel_id": "45911"}, {"ref": "thomaskahn/notebook-7a7a600a4def1250555c", "kernel_id": "45912"}, {"ref": "rspadim/adversarial-validation-bnp-paribas", "kernel_id": "411102"}, {"ref": "adamblazejczak/bnp-paribas-notebook-1", "kernel_id": "39540"}, {"ref": "javmateo/notebook-8eaf05dfb900b35c95de", "kernel_id": "50234"}, {"ref": "darkemi/notebook-214c4d478d477e004d7f", "kernel_id": "49126"}, {"ref": "darkemi/et-classifier-darkemi", "kernel_id": "49128"}, {"ref": "liamdodd/notebook-340fd61fc9e5a6bdd5dc", "kernel_id": "46096"}, {"ref": "liamdodd/ld-storm", "kernel_id": "46094"}, {"ref": "ujjwalshridhar/python-session-walmart-1", "kernel_id": "40303"}, {"ref": "ujjwalshridhar/kaggle-bnp-script-randomforest1", "kernel_id": "40295"}, {"ref": "ujjwalshridhar/bnp-script-1-rf", "kernel_id": "40289"}, {"ref": "ldw4678/test-1", "kernel_id": "40840"}, {"ref": "heenadabke/notebookdfbcffbba3", "kernel_id": "204300"}, {"ref": "heenadabke/notebook871ce3307f", "kernel_id": "204302"}, {"ref": "somshubramajumdar/nearest-neighbour-linear-features", "kernel_id": "54596"}, {"ref": "rdslater/lasagne-nn", "kernel_id": "47512"}, {"ref": "rdslater/more-visualization", "kernel_id": "44125"}, {"ref": "jezifm/bnp-claims", "kernel_id": "39694"}, {"ref": "jezifm/notebook-bd0bb332bf44feebab90", "kernel_id": "39706"}, {"ref": "jezifm/notebook-7091c9519d91215d06f4", "kernel_id": "39784"}, {"ref": "jezifm/notebook-b320455288dc0508d52a", "kernel_id": "39711"}, {"ref": "guissart/notebook-1d8dfa7bc83c51033e03", "kernel_id": "37455"}, {"ref": "lemahdi/explore", "kernel_id": "38215"}, {"ref": "antoinemercier/notebook-3e76baf74f05a2890d0c", "kernel_id": "39774"}, {"ref": "antoinemercier/testt", "kernel_id": "39775"}, {"ref": "aviatorx/notebook-286c7c3fa3e87a4b6cd7", "kernel_id": "54926"}, {"ref": "marcocarnini/merging-test-and-train-in-the-same-dataf", "kernel_id": "36903"}, {"ref": "anandi1989/notebook-eee15777df4ea6479ad2", "kernel_id": "39843"}, {"ref": "liviux/notebook-44e71df3ccbb559254b5", "kernel_id": "53658"}, {"ref": "liviux/notebook-1ccc6e248423c4882949", "kernel_id": "53659"}, {"ref": "liviux/brief-exploration-categorical-variables", "kernel_id": "53663"}, {"ref": "richardmuddle/notebook-1d3f59bb7dcd71f55a32", "kernel_id": "37493"}, {"ref": "arjoonn/notebook-9177b276a88b48f7ad6f", "kernel_id": "51199"}, {"ref": "arjoonn/starter", "kernel_id": "51191"}, {"ref": "arjoonn/notebook-d3a6ab240d76f3742efc", "kernel_id": "51206"}, {"ref": "tuannng/testa", "kernel_id": "38164"}, {"ref": "deeiip/first-test", "kernel_id": "43149"}, {"ref": "deeiip/notebook-aef30434f67b4de1e8e8", "kernel_id": "43146"}, {"ref": "jamesnichols/exploring-bnp-data-distributions", "kernel_id": "60036"}, {"ref": "tomgag/test-1", "kernel_id": "38651"}, {"ref": "tejakancherla/notebook-93eed13b6d2b3986ae3a", "kernel_id": "52745"}, {"ref": "tejakancherla/notebook-10eabf58935adcc2aa18", "kernel_id": "52746"}, {"ref": "tejakancherla/notebook-50cf75e02649f8634e60", "kernel_id": "52747"}, {"ref": "hbghhy/ttttest", "kernel_id": "46180"}, {"ref": "juliensb137/exploring-bnp-data-distributions", "kernel_id": "44591"}, {"ref": "juliensb137/notebook-eea3fc4ef89befe325e8", "kernel_id": "55889"}, {"ref": "juliensb137/notebook-fe3f3451c5f019b117f6", "kernel_id": "55402"}, {"ref": "ogrellier/notebook-51fa27f6dce2ea71c6b7", "kernel_id": "46640"}, {"ref": "ogrellier/notebook-ddb1184b05e70c4c43af", "kernel_id": "47683"}, {"ref": "ogrellier/notebook-7b45e71cb1fc9029fd8a", "kernel_id": "47684"}, {"ref": "ogrellier/xtc-on-half-cols", "kernel_id": "48183"}, {"ref": "ogrellier/notebook-5fd337074fce8f6f9ad6", "kernel_id": "48189"}, {"ref": "ogrellier/notebook-1da5e5dde38a8c04c69b", "kernel_id": "48190"}, {"ref": "tommycooper/notebook-9db5358cec9392650af5", "kernel_id": "38404"}, {"ref": "ensembletesting/extratreesclassifier-score-0-45-v5", "kernel_id": "45913"}, {"ref": "ensembletesting/copy-paste-and-learn", "kernel_id": "40467"}, {"ref": "quanto123/generic-workflow-for-binary-probability", "kernel_id": "49283"}, {"ref": "vasireddi/notebook-9f2de9c0105200c17765", "kernel_id": "43058"}, {"ref": "vasireddi/notebook-8b14ff73b5096104efcd", "kernel_id": "43932"}, {"ref": "samburger/notebook-8c47f576df29c02fa392", "kernel_id": "37059"}, {"ref": "khalsait/notebook-96bc19954e425e9f4294", "kernel_id": "47181"}, {"ref": "mingcaiqin/exploring-bnp-data-distributions", "kernel_id": "49241"}, {"ref": "mingcaiqin/notebook-a5905e9a441b3cadb3cb", "kernel_id": "49527"}, {"ref": "mingcaiqin/notebook-5dcdbbfb169ead7951df", "kernel_id": "49528"}, {"ref": "mingcaiqin/notebook-eb2cd09082efe9db77f0", "kernel_id": "49565"}, {"ref": "mingcaiqin/notebook-0bf837f6f8794a445d93", "kernel_id": "49566"}, {"ref": "bassem16/notebook-e0d0109034c879d49ee2", "kernel_id": "39403"}, {"ref": "bassem16/et-classifier", "kernel_id": "51342"}, {"ref": "swissj74/notebook-4d5b53417e7ebc91ce00", "kernel_id": "37898"}, {"ref": "anokas/extratrees", "kernel_id": "45977"}, {"ref": "anokas/extratreesoptimisation", "kernel_id": "45978"}, {"ref": "anokas/et-classifier", "kernel_id": "50165"}, {"ref": "anokas/processing", "kernel_id": "50892"}, {"ref": "anokas/xgb-cross-val-and-feat-selected", "kernel_id": "51729"}, {"ref": "anokas/xgb-quick-hack", "kernel_id": "37187"}, {"ref": "director/simple-xgboost-0-46146", "kernel_id": "36786"}, {"ref": "director/first-notebook-test", "kernel_id": "39107"}, {"ref": "director/notebook-da7e03af28b0a2ca91e0", "kernel_id": "39136"}, {"ref": "director/clustering-data", "kernel_id": "39137"}, {"ref": "anilkumarkuppa/extratreesclassifier-score-0-45911", "kernel_id": "43934"}, {"ref": "anilkumarkuppa/extratreesclassifier-score-0-45750", "kernel_id": "44141"}, {"ref": "wentingq/notebook-ad3215c3ea6ef10e45b5", "kernel_id": "48242"}, {"ref": "wentingq/notebook-97c0940003c608d5d1f3", "kernel_id": "40681"}, {"ref": "rishikksh20/feature-extraction", "kernel_id": "52392"}, {"ref": "aclowes/notebook-a469f23533afcf0a02a6", "kernel_id": "41279"}, {"ref": "guxiang3936/notebook-9ad6099433abdde8389f", "kernel_id": "44701"}, {"ref": "fabsod/simple-xgboost-0-46146", "kernel_id": "38023"}, {"ref": "fabsod/extratrees", "kernel_id": "46997"}, {"ref": "fabsod/notebook-aa28014ca604570285df", "kernel_id": "48206"}, {"ref": "fabsod/notebook-009d3bb482a56a9720be", "kernel_id": "54969"}, {"ref": "weiyu322/simple-xgboost-0-46146", "kernel_id": "40491"}, {"ref": "weiyu322/xgboost-15-02-2016-0-45769", "kernel_id": "43894"}, {"ref": "pozhijisi/notebook-30a4294be93e1ef6b9d5", "kernel_id": "38223"}, {"ref": "kalyancharan/proscript", "kernel_id": "60448"}, {"ref": "schlag/notebook-f620aa9f534c4fe37032", "kernel_id": "52021"}, {"ref": "bigbigdata/bnptest", "kernel_id": "40057"}, {"ref": "nguyenxuanson/exploring-bnp-data-distributions", "kernel_id": "55540"}, {"ref": "juankarsten/notebook-0823886711a3bba6b7ae", "kernel_id": "52644"}, {"ref": "leapming/insurance-claim", "kernel_id": "38660"}, {"ref": "alexdlm/notebook-bdb7be595c381293c7c6", "kernel_id": "38887"}, {"ref": "sergiykazanin/notebook-53bb9610a5542c53bb13", "kernel_id": "45725"}, {"ref": "aymenzaafouri1/notebook-c03961c69eef59461b9d", "kernel_id": "46035"}, {"ref": "scrivna/notebook-fbb20b834310eb25ec16", "kernel_id": "50745"}, {"ref": "scrivna/notebook-827fda2f6cf8d70ad827", "kernel_id": "50488"}, {"ref": "pogodinstas/gradientboosting-0-47119", "kernel_id": "39324"}, {"ref": "xyfengchris/notebook-eb05c0fc8ac706bec352", "kernel_id": "39330"}, {"ref": "xyfengchris/notebook-2edccd8779257951afb8", "kernel_id": "39546"}, {"ref": "wizardofoz/notebook-210f2de9c0a110cf381d", "kernel_id": "39401"}, {"ref": "monspo1/notebook-fbf38e879cc69ade8406", "kernel_id": "44929"}, {"ref": "j4n050l4h/notebook-d31e108a88f650a8b224", "kernel_id": "37835"}, {"ref": "francoisvermeil/testi", "kernel_id": "37151"}, {"ref": "cupcicm/notebook-271c800ea7afad33e19f", "kernel_id": "40825"}, {"ref": "laurae2/evidence-of-non-linear-relation-target", "kernel_id": "46128"}, {"ref": "laurae2/benchmark-for-beginners-newbies", "kernel_id": "48300"}, {"ref": "mkolodzi/notebook-6d985d97a4d46a512ca7", "kernel_id": "37509"}, {"ref": "tysohcx/notebook-6bb835a9f96930af0971", "kernel_id": "49093"}, {"ref": "tysohcx/benchmark-for-beginners-newbies", "kernel_id": "49094"}, {"ref": "tysohcx/notebook-d2907f09dc0dfe0c5109", "kernel_id": "49576"}, {"ref": "rmihaylov/notebook-3fc797f9416010dad414", "kernel_id": "39242"}, {"ref": "darraghfarrell/notebook-b53416d952bc6548e3f2", "kernel_id": "37804"}, {"ref": "andresbnpp/notebook-bf4ab518de32c3684e1a", "kernel_id": "37958"}, {"ref": "andresbnpp/prueba", "kernel_id": "38132"}, {"ref": "andresbnpp/prueba2", "kernel_id": "38144"}, {"ref": "algnod/notebook-21a75d35a1b85680c010", "kernel_id": "38250"}, {"ref": "algnod/notebook-e7f2f17413d2a2a523ce", "kernel_id": "37988"}, {"ref": "valjean/notebook-539ab1b688da6990754d", "kernel_id": "50153"}, {"ref": "karatheodory/first-script", "kernel_id": "38206"}, {"ref": "yyang78/notebook-93446774a2c25e4e77ec", "kernel_id": "49032"}, {"ref": "yyang78/notebook-d0bb4f515505c522ff93", "kernel_id": "49034"}, {"ref": "yyang78/notebook-33eb627f615f398dfa89", "kernel_id": "47169"}, {"ref": "brittlefingers/notebook-693d70da7f68e587ce59", "kernel_id": "42940"}, {"ref": "isaacmoore7/trial2", "kernel_id": "50147"}, {"ref": "isaacmoore7/notebook-bfc36bbbc0e342330c52", "kernel_id": "44507"}, {"ref": "isaacmoore7/trial4", "kernel_id": "51412"}, {"ref": "zlzhao/tensorflow-starter", "kernel_id": "39053"}, {"ref": "stremin/notebook-b4fcc009d90ca77685a1", "kernel_id": "43174"}, {"ref": "yidishui/testh", "kernel_id": "40304"}, {"ref": "yidishui/trytry", "kernel_id": "40477"}, {"ref": "aeithne/notebook-2f4feb8d24332b01eb38", "kernel_id": "53451"}, {"ref": "aeithne/gr-mio", "kernel_id": "51906"}, {"ref": "aeithne/notebook-e43776cba1f5b9255b6a", "kernel_id": "51908"}, {"ref": "aeithne/notebook-b36dda683a7e76166a86", "kernel_id": "51909"}, {"ref": "aeithne/notebook-d0aba0e4dab49f7f3122", "kernel_id": "52618"}, {"ref": "aeithne/notebook-324be529812b9a162df0", "kernel_id": "52619"}, {"ref": "aeithne/notebook-b545763d2acb38794a64", "kernel_id": "52620"}, {"ref": "aeithne/notebook-fa2bb2ce5dd41d08a6df", "kernel_id": "52435"}, {"ref": "aeithne/notebook-68a51ec4eda0a0c5f383", "kernel_id": "52436"}, {"ref": "aeithne/notebook-b32823f757ca62e49626", "kernel_id": "52437"}, {"ref": "aeithne/notebook-23c80bb588cdf29ea164", "kernel_id": "50185"}, {"ref": "aeithne/notebook-67f09771573b89350e94", "kernel_id": "50187"}, {"ref": "max8774/notebook-aacb1bdfb95e0d5d052c", "kernel_id": "39373"}, {"ref": "max8774/notebook-1030b2a9667ce5ef5252", "kernel_id": "39374"}, {"ref": "max8774/notebook-e3a23a849e135010ddde", "kernel_id": "39402"}, {"ref": "evandrodemuth/xgboost-15-02-2016-0-45769", "kernel_id": "45000"}, {"ref": "gotvijay/notebook-939a70caf1207ab236f9", "kernel_id": "39351"}, {"ref": "mykaggle/notebook-c2ebbb41f5455e62cc5d", "kernel_id": "43014"}, {"ref": "younglee/notebook-499a13f09037ef2471f4", "kernel_id": "39493"}, {"ref": "younglee/notebook-bf55f238173cd48fe3dd", "kernel_id": "39498"}, {"ref": "younglee/notebook-4af50d4153721c166066", "kernel_id": "39499"}, {"ref": "younglee/notebook-db9df7bb1995bc7587ee", "kernel_id": "39500"}, {"ref": "bbusser/notebook-80292c5de62b95681011", "kernel_id": "39531"}, {"ref": "cirillo/xgb-cross-val-and-feat-selected", "kernel_id": "44468"}, {"ref": "archibald/exploratory-analysis-r", "kernel_id": "42842"}, {"ref": "archibald/notebook-3a0ca22d0864dd38b0be", "kernel_id": "42847"}, {"ref": "boogie/extratreesclassifier-score-0-45-v5", "kernel_id": "46643"}, {"ref": "cjones/test-script-py", "kernel_id": "39735"}, {"ref": "cjones/exploring-bnp-data-distributions", "kernel_id": "46287"}, {"ref": "douglasvidal/notebook-8e1f8bd50b0b391e58c8", "kernel_id": "40580"}, {"ref": "bahman7891/nbayes", "kernel_id": "39829"}, {"ref": "notia81/notebook-00d608f6d24e2c6e10a5", "kernel_id": "39932"}, {"ref": "nelsonlau/notebook-ea7481ec008783192bcc", "kernel_id": "39951"}, {"ref": "relopezbriega/mymodel", "kernel_id": "49168"}, {"ref": "savina/notebook-9d4a0bd6733cd9916e75", "kernel_id": "40109"}, {"ref": "paulorzp/boruta-package-feature-relevance", "kernel_id": "54325"}, {"ref": "boxia1vs9/notebook-a6d2fa869de48e5573d6", "kernel_id": "44851"}, {"ref": "gusmed/notebook-967e1628159a2ab836da", "kernel_id": "46876"}, {"ref": "danielprevot/notebook-08d34f9819ee30ab5636", "kernel_id": "40333"}, {"ref": "yanhuang/notebook-5e262500e602053efc35", "kernel_id": "52632"}, {"ref": "yanhuang/notebook-6f268399ba1248ed5594", "kernel_id": "52633"}, {"ref": "yanhuang/notebook-8850ec0ea8b03c804df2", "kernel_id": "52635"}, {"ref": "dgsuresh/notebook-71982807c3f83a94c457", "kernel_id": "40879"}, {"ref": "dgsuresh/notebook-210ef092ed682271c7ed", "kernel_id": "40874"}, {"ref": "laiweixu/notebook-c1a909596713b7cbca66", "kernel_id": "40712"}, {"ref": "paziz001/notebook-1e504c9b4278fefe7f45", "kernel_id": "48754"}, {"ref": "andriatrigeorgi/firsttesting", "kernel_id": "50482"}, {"ref": "endymion958/notebook-d523c5a708d4697a5290", "kernel_id": "47363"}, {"ref": "endymion958/notebook-37d90fcd927149961d85", "kernel_id": "53198"}, {"ref": "endymion958/notebook-a2b6a5cb26679b93d841", "kernel_id": "53199"}, {"ref": "endymion958/notebook-fab8266c7b9eec2a36c2", "kernel_id": "53203"}, {"ref": "danbizdadea/notebook-c40db381e47f04168daa", "kernel_id": "44810"}, {"ref": "danbizdadea/test111111111-11-11", "kernel_id": "44811"}, {"ref": "vivianw/notebook-b3d281b9d065f27982af", "kernel_id": "45691"}, {"ref": "bogibson93/more-visualization", "kernel_id": "45696"}, {"ref": "grasspot/xgboost-15-02-2016-0-45769", "kernel_id": "47979"}, {"ref": "grasspot/xgboost-15-02-2016", "kernel_id": "49444"}, {"ref": "grasspot/notebook-ba27e634730bfba2409e", "kernel_id": "49408"}, {"ref": "grasspot/featurehashing-demo", "kernel_id": "49409"}, {"ref": "grasspot/et-classifier2", "kernel_id": "54716"}, {"ref": "grasspot/r-test", "kernel_id": "54722"}, {"ref": "grasspot/et-classifier", "kernel_id": "54423"}, {"ref": "grasspot/notebook-88ff7a2cd56a9072e201", "kernel_id": "54455"}, {"ref": "grasspot/ex-tree-classifier", "kernel_id": "55139"}, {"ref": "morganelr/exploratory-analysis-r", "kernel_id": "43369"}, {"ref": "vpprassh/xgb-cross-val-and-feat-selected", "kernel_id": "43721"}, {"ref": "nettrer/xgboost-15-02-2016-0-45769", "kernel_id": "55319"}, {"ref": "pringleslion/notebook-a2b64a4a253a6cb871b4", "kernel_id": "54132"}, {"ref": "pringleslion/notebook-934e4b0c5f3a7d1cea6f", "kernel_id": "54133"}, {"ref": "husterwgm/keras-neural-net", "kernel_id": "49699"}, {"ref": "bastianlaubner/first-steps", "kernel_id": "44379"}, {"ref": "juchul/notebook-8cd42de38bb6c912b97a", "kernel_id": "49278"}, {"ref": "juchul/notebook-915e61f51cb47142db7f", "kernel_id": "54456"}, {"ref": "juchul/notebook-05fceb258c6f1c22daff", "kernel_id": "54458"}, {"ref": "juchul/et-classifier", "kernel_id": "54434"}, {"ref": "juchul/et-classifier-v2", "kernel_id": "54438"}, {"ref": "juchul/notebook-8c2155766f1b93e433ba", "kernel_id": "55081"}, {"ref": "devilica/notebook-2a76e5363917bd5d7844", "kernel_id": "55195"}, {"ref": "devilica/notebook-16a2e255dc6eae3aca44", "kernel_id": "55205"}, {"ref": "devilica/notebook-c13d55fd2925d94fadd6", "kernel_id": "55206"}, {"ref": "devilica/et-classifier", "kernel_id": "54414"}, {"ref": "devilica/notebook-2dfa0387301108b77a8f", "kernel_id": "45007"}, {"ref": "hycu201401055/last-fork", "kernel_id": "55152"}, {"ref": "hycu201401055/hosangpractice", "kernel_id": "54825"}, {"ref": "hycu201401055/notebook-d578e3b44856ead7906a", "kernel_id": "54954"}, {"ref": "viveksarmar/generic-workflow-for-binary-probability", "kernel_id": "47795"}, {"ref": "viveksarmar/nearest-neighbour-linear-features", "kernel_id": "54531"}, {"ref": "kyungkuk/xgboost-r-script-giving-0-45846-on-lb", "kernel_id": "49407"}, {"ref": "kyungkuk/exploring-paribas-data", "kernel_id": "48955"}, {"ref": "kyungkuk/xgb-cross-val-and-feat-selected", "kernel_id": "49477"}, {"ref": "kyungkuk/et-bechmark", "kernel_id": "49525"}, {"ref": "kyungkuk/exploring-paribas-data-test", "kernel_id": "49502"}, {"ref": "kyungkuk/xgboost-15-03-2016-0-45769", "kernel_id": "49651"}, {"ref": "kyungkuk/exploring-benchmark-data", "kernel_id": "49621"}, {"ref": "kyungkuk/et-trial", "kernel_id": "53418"}, {"ref": "kyungkuk/et-customizing", "kernel_id": "50929"}, {"ref": "starkjarvis/bnp-claims-mgmt-using-randomforestclass", "kernel_id": "67052"}, {"ref": "paulwalsh/exploring-bnp-data-distributions", "kernel_id": "44443"}, {"ref": "benstyler/notebook-f0919e1b60bbe21ca102", "kernel_id": "44707"}, {"ref": "benstyler/notebook-6c2741ccede21eed1d58", "kernel_id": "44708"}, {"ref": "benstyler/notebook-a4affbd3ca939f5a193a", "kernel_id": "44709"}, {"ref": "jojunoo/notebook-e7379f87b310649d7748", "kernel_id": "52701"}, {"ref": "zty920317/generic-workflow-for-binary-probability", "kernel_id": "50227"}, {"ref": "leekendo/notebook-7fabbf4f3bf6fe56f279", "kernel_id": "49012"}, {"ref": "leekendo/notebook-c33ba0e60b7453ea702f", "kernel_id": "49013"}, {"ref": "leekendo/notebook-943a16b25e61a7517381", "kernel_id": "54819"}, {"ref": "leekendo/notebook-3be70b82f0beee6fa495", "kernel_id": "55136"}, {"ref": "leekendo/notebook-25fc14267749ee47afca", "kernel_id": "53544"}, {"ref": "youngminf/notebook-cee4eaf232a18ee3e561", "kernel_id": "53522"}, {"ref": "youngminf/notebook-1780ea4f5a0c4fda0de9", "kernel_id": "52971"}, {"ref": "cmarchal/notebook-2d89c60da61a07d4c037", "kernel_id": "53985"}, {"ref": "cmarchal/notebook-4a0425945014b15820f6", "kernel_id": "53986"}, {"ref": "cmarchal/notebook-d0661442416bd8eb9f85", "kernel_id": "54220"}, {"ref": "cmarchal/notebook-216d54a1324d645ce26d", "kernel_id": "54221"}, {"ref": "leoitsn/notebook-d7dbf41ebfeba8531153", "kernel_id": "49776"}, {"ref": "leoitsn/notebook-cd91c9af9818b41a46ef", "kernel_id": "47909"}, {"ref": "hilopong/notebook-afe4278757d4ae6479df", "kernel_id": "54684"}, {"ref": "hkzy2001/testfunction", "kernel_id": "45763"}, {"ref": "achraf112/kmeans", "kernel_id": "82486"}, {"ref": "achraf112/notebook-04e3d13c5b39c3d31153", "kernel_id": "84891"}, {"ref": "achraf112/notebook-dc4dfaf19c316a4f5755", "kernel_id": "84893"}, {"ref": "serein927/notebook-3b25ae4573f9a0f1fab1", "kernel_id": "46823"}, {"ref": "nirupamkar/test1", "kernel_id": "50137"}, {"ref": "nirupamkar/notebook-71230f4543620af8e53d", "kernel_id": "53848"}, {"ref": "andreluizbarbieri/input", "kernel_id": "49386"}, {"ref": "dalttony/notebook-73efcb6b719dc1e9b07f", "kernel_id": "53376"}, {"ref": "xarles/first-try", "kernel_id": "47695"}, {"ref": "mystarta/notebook-9253729f3868e79c5f74", "kernel_id": "49426"}, {"ref": "mystarta/notebook-519ec89b224cceba5174", "kernel_id": "49440"}, {"ref": "mystarta/abcdefg", "kernel_id": "48774"}, {"ref": "mystarta/notebook-9a09a3a9ee04c83945fd", "kernel_id": "47007"}, {"ref": "tvashtar/notebook-691119162c12b11b1218", "kernel_id": "46748"}, {"ref": "tvashtar/notebook-fd20c926beec52ccd8de", "kernel_id": "46750"}, {"ref": "robertlilligren/notebook-8452bad99f6fe28abfc8", "kernel_id": "51268"}, {"ref": "benoua/notebook89d1eca1e7", "kernel_id": "173510"}, {"ref": "andreasjohnsson/xgboost-15-02-2016-0-45769", "kernel_id": "53840"}, {"ref": "andreasjohnsson/ordinal-xgb-ii-lb-45787-cv-es", "kernel_id": "53842"}, {"ref": "limyongteag/notebook-32cd9a0964593a3c8ce0", "kernel_id": "51283"}, {"ref": "limyongteag/exploring-bnp-data-distributions", "kernel_id": "51217"}, {"ref": "limyongteag/notebook-b51f7c7b27cb9a8fb4dd", "kernel_id": "55034"}, {"ref": "limyongteag/notebook-8aa954a7cc2579def9c1", "kernel_id": "55035"}, {"ref": "limyongteag/notebook-8eae6a4d3f9eed9b59d8", "kernel_id": "55036"}, {"ref": "limyongteag/notebook-5dff597516d377dba970", "kernel_id": "55145"}, {"ref": "limyongteag/notebook-8b3ff3b16536504b5217", "kernel_id": "55141"}, {"ref": "limyongteag/generic-workflow-for-binary-probability", "kernel_id": "49422"}, {"ref": "rishiraj/trees", "kernel_id": "47802"}, {"ref": "jihyeseo/cardif-eda-binary-class-130-cols", "kernel_id": "957699"}, {"ref": "victordeb/first-test", "kernel_id": "46707"}, {"ref": "pfichet/test-0", "kernel_id": "46983"}, {"ref": "jfabelha/xgb-cross-val-and-feat-selected", "kernel_id": "51672"}, {"ref": "kaptcha/notebook-ff17311a7deac418e8f7", "kernel_id": "47439"}, {"ref": "pedroulisses/notebook-b6a748dc8d7c182b844c", "kernel_id": "54287"}, {"ref": "stevao/notebook-ccc5aa39eaf339ddf080", "kernel_id": "47693"}, {"ref": "leoabubauru/notebook-027cd74237514a5dfa9d", "kernel_id": "53700"}, {"ref": "leoabubauru/notebook-3cf3a32b67ad6d6b536a", "kernel_id": "53701"}, {"ref": "spiind/notebook-8de00aa711ec3a43e52a", "kernel_id": "48232"}, {"ref": "spiind/test-script", "kernel_id": "48234"}, {"ref": "tjinsmu/notebook-73e64fc8b115191d4554", "kernel_id": "48530"}, {"ref": "tjinsmu/datasss", "kernel_id": "48711"}, {"ref": "igorpanivko/notebook-8ac3be85ad060fb28fbb", "kernel_id": "57322"}, {"ref": "igorpanivko/nearest-neighbour-linear-features", "kernel_id": "57325"}, {"ref": "lengoanhcat/notebook-26b4ef1d3becfac76214", "kernel_id": "48962"}, {"ref": "dstefa01/extraoptimizedtree", "kernel_id": "53564"}, {"ref": "dstefa01/my-xgb-cross-val", "kernel_id": "53609"}, {"ref": "dstefa01/notebook-0ec6ac8eff4bd34b57a4", "kernel_id": "51923"}, {"ref": "dstefa01/notebook-87e309de39f5bd88af0d", "kernel_id": "51928"}, {"ref": "dstefa01/notebook-035cf0e314b28e7af4bc", "kernel_id": "51930"}, {"ref": "dstefa01/notebook-2584186040422dc8a491", "kernel_id": "51877"}, {"ref": "ahmedkamal94/exploring-bnp-data-distributions", "kernel_id": "51353"}, {"ref": "ahmedkamal94/notebook-c8c81c2bb35548db3797", "kernel_id": "51354"}, {"ref": "jpar114/notebook-8e2dd8025f036e83a15c", "kernel_id": "51754"}, {"ref": "ekonst07/find-stdv", "kernel_id": "53268"}, {"ref": "saln94/xgboost-15-02-2016-0-45769", "kernel_id": "49929"}, {"ref": "lamsiyuen/testing-for-my-learning-purpose", "kernel_id": "50291"}, {"ref": "ozcell/notebook-a72c5371fe096a251c28", "kernel_id": "50257"}, {"ref": "lihong/notebook-36f207d3c119156a3b32", "kernel_id": "56317"}, {"ref": "yiangos/hello", "kernel_id": "52598"}, {"ref": "yanwii/notebook-218481a01310f59c8957", "kernel_id": "51156"}, {"ref": "hmicha01/itsme", "kernel_id": "52615"}, {"ref": "sigrlami/notebook-a6ce835523f2af8301f7", "kernel_id": "51008"}, {"ref": "rimbaud13/notebook-e6658992df30f13b94a5", "kernel_id": "53313"}, {"ref": "prabhatbara/work1", "kernel_id": "53839"}, {"ref": "pecoraro/notebook-261778625ad6b6867745", "kernel_id": "52569"}, {"ref": "pecoraro/exploring-bnp-data-distributions", "kernel_id": "52566"}, {"ref": "pecoraro/decision-tree", "kernel_id": "53845"}, {"ref": "pecoraro/notebook-cce36a46832ca8da3db0", "kernel_id": "53899"}, {"ref": "pecoraro/notebook-bed3ba628815487a4b6c", "kernel_id": "53882"}, {"ref": "pecoraro/notebook-6a94a76af5c404c167f6", "kernel_id": "53263"}, {"ref": "pecoraro/notebook-28f50e92e1f635861112", "kernel_id": "53266"}, {"ref": "pecoraro/esame-variabili", "kernel_id": "53549"}, {"ref": "pecoraro/my-first-test-xgboost", "kernel_id": "53306"}, {"ref": "pecoraro/nearest-neighbour-linear-features", "kernel_id": "55168"}, {"ref": "pecoraro/notebook-613069a17dbe88bf9654", "kernel_id": "55080"}, {"ref": "pecoraro/notebook-1f2360f491106bf7186a", "kernel_id": "55114"}, {"ref": "dariyush/notebook-2732ad466b2dd98a6a8f", "kernel_id": "52557"}, {"ref": "dariyush/notebook-e2f2bc985496b9d7db58", "kernel_id": "52558"}, {"ref": "tsetsenos/firstpyscript", "kernel_id": "52562"}, {"ref": "sharif1093/main-r", "kernel_id": "53091"}, {"ref": "apostolia14/linear09", "kernel_id": "53029"}, {"ref": "apostolia14/cool-team", "kernel_id": "53035"}, {"ref": "gabrielrondon/bnp-claims-management", "kernel_id": "53074"}, {"ref": "monigame/nearest-neighbour-linear-features", "kernel_id": "54515"}, {"ref": "monigame/notebook-9734b9378fddedb29a64", "kernel_id": "54273"}, {"ref": "chetan7aggarwal/notebook2ab77139aa", "kernel_id": "240433"}, {"ref": "ssanyal/soumya", "kernel_id": "74709"}, {"ref": "jihyunpark/notebook-3ed22b22d6f2c730369a", "kernel_id": "53957"}, {"ref": "jihyunpark/train", "kernel_id": "53958"}, {"ref": "david1006/notebook-07ba94f8c7a29f0d258e", "kernel_id": "54052"}, {"ref": "pratyush19/notebook-2f51cbdfd8acd75db3f4", "kernel_id": "54554"}, {"ref": "sarsenkk/sample", "kernel_id": "55026"}, {"ref": "zhyvov/notebook-bd91ada4e4eb8e018aa4", "kernel_id": "65191"}, {"ref": "zhyvov/notebook-23a595eccf135c30e912", "kernel_id": "65192"}, {"ref": "dplt280/notebookbb27513d84", "kernel_id": "116791"}, {"ref": "rsifrain/exploring-bnp-data-distributions", "kernel_id": "102773"}, {"ref": "lorz3l/1-subs", "kernel_id": "97528"}, {"ref": "lorz3l/notebook09a34a4c53", "kernel_id": "96844"}, {"ref": "bubaoo/xgboost-with-combination-of-factors", "kernel_id": "99915"}, {"ref": "gurupanda/bnp-correlation-predictions", "kernel_id": "89801"}, {"ref": "longuial/notebook14d865f70e", "kernel_id": "168802"}, {"ref": "leonliu/xgb-cross-val-and-feat-selected", "kernel_id": "221830"}, {"ref": "daihongxia/notebook4daf7b509d", "kernel_id": "108717"}, {"ref": "daihongxia/notebook33871688aa", "kernel_id": "108733"}, {"ref": "daihongxia/notebook02c0c3eedd", "kernel_id": "116766"}, {"ref": "ne1lzhang/nearest-neighbour-linear-features", "kernel_id": "202309"}, {"ref": "a1660398197/notebook7c7604ad4a", "kernel_id": "133930"}, {"ref": "fatousall/notebooked35c5db6d", "kernel_id": "137097"}, {"ref": "upadhyayvibhuti/benchmark-for-beginners-newbies", "kernel_id": "357806"}, {"ref": "qweasddd/notebookdc08e635cd", "kernel_id": "220556"}, {"ref": "mparker3/notebook07123b942c", "kernel_id": "245754"}, {"ref": "lianghn/dropkbest-extratreesclassifier-solution", "kernel_id": "357943"}, {"ref": "lianghn/simple-extratreesclassifier-solution", "kernel_id": "357364"}, {"ref": "lianghn/script-for-time-measurement-with-diff-ml-methods", "kernel_id": "357367"}, {"ref": "stephanjo/xgboost-with-combination-of-factors", "kernel_id": "805845"}, {"ref": "stephanjo/fork-of-xgboost-with-combination-of-factors", "kernel_id": "805925"}, {"ref": "leeasy/it-mba7-bi", "kernel_id": "898705"}, {"ref": "chvraj/exploring-the-bnp-paribas-data", "kernel_id": "1288255"}, {"ref": "hackerhari/boosting", "kernel_id": "1877816"}, {"ref": "anupriyo/bnp-paribas-claim-using-random-forest", "kernel_id": "3846265"}, {"ref": "ksamaiah/bnp-paribas-classification-problem", "kernel_id": "6941946"}, {"ref": "prashant111/comprehensive-guide-on-feature-selection", "kernel_id": "7797138"}, {"ref": "yukikita/ramdomforest-labelencoding", "kernel_id": "9602463"}, {"ref": "iambankaratharva/eda-ensemble-xgboost-et-bnp-paribas-cardif", "kernel_id": "9639188"}, {"ref": "confirm/xfeat-catboost-cpu-only", "kernel_id": "10212764"}, {"ref": "confirm/xfeat-cudf-lightgbm-catboost-wip", "kernel_id": "10233956"}, {"ref": "saisatish09/a-beginner-s-guide-to-feature-selection-methods", "kernel_id": "10140650"}, {"ref": "renesis88/autogluon-bnp-paribas-score-0-43834", "kernel_id": "11765266"}, {"ref": "slavavvv/bnp-paribas-cardif-claims-svyatoslav", "kernel_id": "12082996"}, {"ref": "mt77pp/mljar-automl-bnp-claims-management", "kernel_id": "15726378"}, {"ref": "adarshsng/extensive-advance-feature-selection-tutorial", "kernel_id": "17893730"}, {"ref": "anggidwifiani/machine-learning-with-select-k-best", "kernel_id": "17687744"}, {"ref": "vijaykumarsh/bnp-paribas-eda-and-ensemble-approach", "kernel_id": "19303446"}, {"ref": "mohamedherradi/bnp-paribas-cardif-classification", "kernel_id": "22272059"}, {"ref": "abylai57/xgboost", "kernel_id": "24540241"}, {"ref": "abylai57/xgboost-prediction", "kernel_id": "24538743"}, {"ref": "diasdusembek/lightgbm-gridsearch", "kernel_id": "24723717"}, {"ref": "diasdusembek/lightgbm", "kernel_id": "24695568"}, {"ref": "kinsiangchia/bnp-claim-mgmt-catb", "kernel_id": "27849871"}, {"ref": "crashoverdrive/cms-data-preprocessing-model-creation-guide", "kernel_id": "28678864"}, {"ref": "crashoverdrive/cms-complete-eda-guide", "kernel_id": "29034565"}, {"ref": "egorbronnikov/algorithm-composition", "kernel_id": "31767873"}, {"ref": "cashfeg/lightgbm-zero-sample", "kernel_id": "40313231"}]}
{"competition_id": "4853", "kernels": [{"ref": "antgoldbloom/aaaaa", "kernel_id": "51920"}, {"ref": "prdeepak/notebook-1d6eb3314b96c9e48339", "kernel_id": "37382"}, {"ref": "alexxanderlarko/preproc", "kernel_id": "34686"}, {"ref": "alexxanderlarko/gbm-1901", "kernel_id": "34135"}, {"ref": "alexxanderlarko/rf-ext2101", "kernel_id": "34511"}, {"ref": "alexxanderlarko/gbm-beat-the-benchmark-01", "kernel_id": "34072"}, {"ref": "alexxanderlarko/preproc-2", "kernel_id": "37532"}, {"ref": "alexxanderlarko/preproc-2full", "kernel_id": "38171"}, {"ref": "alexxanderlarko/rf-py-1502v1", "kernel_id": "38788"}, {"ref": "alexxanderlarko/rf-1602-01", "kernel_id": "38991"}, {"ref": "alexxanderlarko/preproc-2new", "kernel_id": "39097"}, {"ref": "alexxanderlarko/stem-text", "kernel_id": "39187"}, {"ref": "alexxanderlarko/preproc-3", "kernel_id": "39331"}, {"ref": "alexxanderlarko/preproc-4", "kernel_id": "39608"}, {"ref": "alexxanderlarko/preproc-alldata", "kernel_id": "43083"}, {"ref": "benhamner/train-sample", "kernel_id": "33949"}, {"ref": "benhamner/playground-8", "kernel_id": "33950"}, {"ref": "benhamner/attributes-data-sample", "kernel_id": "33426"}, {"ref": "benhamner/quick-demo", "kernel_id": "48303"}, {"ref": "benhamner/demo-asdf-1", "kernel_id": "55913"}, {"ref": "chirz8/notebook-74cfd9a0c3903373248f", "kernel_id": "54141"}, {"ref": "chirz8/cjk1404-1", "kernel_id": "53932"}, {"ref": "jeffmoser/notebook-b9e5f513e78b682d5e05", "kernel_id": "35367"}, {"ref": "rombuk74/notebook-dcbec916a722363f576c", "kernel_id": "38732"}, {"ref": "nebulous/notebook-79b6aa976a4b3bf28445", "kernel_id": "38102"}, {"ref": "nebulous/rf-mean-squared-error", "kernel_id": "40234"}, {"ref": "nebulous/rf-mean-squared-error1", "kernel_id": "40236"}, {"ref": "nebulous/rf-mean-squared-error2", "kernel_id": "40238"}, {"ref": "nebulous/rf-mean-squared-error3", "kernel_id": "40252"}, {"ref": "nebulous/rf-mean-squared-error4", "kernel_id": "40257"}, {"ref": "dudarev/notebook-9167fd0d8cb3ec1f41bc", "kernel_id": "38595"}, {"ref": "praveenr/notebook-e212bb132054945cf057", "kernel_id": "34211"}, {"ref": "abhishek/gbm-beat-the-benchmark-01", "kernel_id": "34176"}, {"ref": "redshift/notebook-e5270329f5145f660a99", "kernel_id": "34751"}, {"ref": "normgood/exploring-the-home-depot-data", "kernel_id": "34426"}, {"ref": "afinefellow/rf-mean-squared-error", "kernel_id": "38104"}, {"ref": "afinefellow/notebook-e2d84c13fbc9eca6664c", "kernel_id": "35495"}, {"ref": "afinefellow/notebook-91f98fb61bccfd6d52d0", "kernel_id": "35517"}, {"ref": "afinefellow/notebook-7f2986d5e4b022a60b87", "kernel_id": "35563"}, {"ref": "smbswim/notebook-a138b36cf32bfd8ddea5", "kernel_id": "51500"}, {"ref": "clinica/notebook-ad272161bf76114e66bf", "kernel_id": "39834"}, {"ref": "clinica/notebook-fb62344d75b850bbd26b", "kernel_id": "43729"}, {"ref": "gohigh/fixing-typos", "kernel_id": "52689"}, {"ref": "khanenko/search-terms-statistics", "kernel_id": "34055"}, {"ref": "nit254/sklearn-random-forest", "kernel_id": "39562"}, {"ref": "anuroop/notebook-82d2a5d63333b63b693d", "kernel_id": "35648"}, {"ref": "pyrite/testing-kaggle-notebooks", "kernel_id": "34439"}, {"ref": "anowak/fixing-typos", "kernel_id": "48042"}, {"ref": "mrbond/notebook-77429cdb0f406fb2666a", "kernel_id": "37319"}, {"ref": "josealberto/learning-text2vec", "kernel_id": "47164"}, {"ref": "jesseh/notebook-4f7ed5d4c6f4e03a5e8f", "kernel_id": "45347"}, {"ref": "dselivanov/get-packages", "kernel_id": "50976"}, {"ref": "briantc/testkaggle1", "kernel_id": "39709"}, {"ref": "briantc/notebook-a80d20199f287bcb682a", "kernel_id": "39128"}, {"ref": "briantc/notebook-31b806c06a89e55e4117", "kernel_id": "39129"}, {"ref": "briantc/homedepot-first-dataexploreation-k", "kernel_id": "39705"}, {"ref": "vishalh/notebook-a2c58f4e37b24a45d45d", "kernel_id": "45014"}, {"ref": "tradclimber/notebook-01e953cf67b70a6244ce", "kernel_id": "35162"}, {"ref": "prasundas/notebook-4ea4444891acadd61298", "kernel_id": "37465"}, {"ref": "datacanary/exploratory-analysis-train-and-test", "kernel_id": "39424"}, {"ref": "alexscheelmeyer/sklearn-random-forest", "kernel_id": "35500"}, {"ref": "mandsdaman/notebook-fc18c6909313352700e6", "kernel_id": "52490"}, {"ref": "mandsdaman/notebook-4071339b32b847c78a02", "kernel_id": "52491"}, {"ref": "mandsdaman/notebook-de116a8e6dcb7339b889", "kernel_id": "52838"}, {"ref": "howardxie/readfiletest", "kernel_id": "51260"}, {"ref": "howardxie/testing-script", "kernel_id": "48563"}, {"ref": "howardxie/testing-script1", "kernel_id": "48564"}, {"ref": "zaq1xsw2tktk/notebook-e86953696d8e85d3304e", "kernel_id": "39246"}, {"ref": "dmytrolystopad/test-22-4", "kernel_id": "56651"}, {"ref": "dmytrolystopad/test-script-1", "kernel_id": "56115"}, {"ref": "dmytrolystopad/test-script-apr-m1", "kernel_id": "56874"}, {"ref": "dmytrolystopad/test-script-m", "kernel_id": "56771"}, {"ref": "dmytrolystopad/trying2", "kernel_id": "56963"}, {"ref": "satomacoto/notebook-9b5032590af7bd4d7b26", "kernel_id": "36669"}, {"ref": "bascom/cosine-similarity-levenstein-calibration", "kernel_id": "60670"}, {"ref": "bascom/notebook-55ceea2fd1cde6b3ba55", "kernel_id": "56308"}, {"ref": "bluebalam/rfr-features-0-47326", "kernel_id": "39426"}, {"ref": "alfrlj/notebook-c03f36f8135fba0a23e4", "kernel_id": "38064"}, {"ref": "flashnik/rfr-features-0-47203", "kernel_id": "56510"}, {"ref": "fordants/notebook-a7084dbac34a48b8f3c8", "kernel_id": "41219"}, {"ref": "fordants/hdepot", "kernel_id": "44548"}, {"ref": "hagope/notebook-449338322f6b3e6641dd", "kernel_id": "47518"}, {"ref": "keithtrnka/data-exploration", "kernel_id": "34235"}, {"ref": "piplimoon/notebook-eecbec72732e779a4698", "kernel_id": "52172"}, {"ref": "thakurrajanand/cooking-something", "kernel_id": "39253"}, {"ref": "thakurrajanand/gbm-beat-the-benchmark", "kernel_id": "33952"}, {"ref": "manueldiaz/ridge", "kernel_id": "35909"}, {"ref": "satishku/notebook-d3756140448cca0a4cfb", "kernel_id": "48452"}, {"ref": "anttip/first-xgb-script", "kernel_id": "40656"}, {"ref": "extraequal/testhomedepot", "kernel_id": "50376"}, {"ref": "extraequal/notebook-0a6d76bdb5b10bf85fd4", "kernel_id": "56755"}, {"ref": "ng1714/notebook-27339bf67aca72fe4809", "kernel_id": "48515"}, {"ref": "ng1714/notebook-51530daf9f3e223fc7d7", "kernel_id": "48516"}, {"ref": "srivaths/srivathsan-script", "kernel_id": "36644"}, {"ref": "kumareshd/homedepot-seed-23", "kernel_id": "34530"}, {"ref": "kumareshd/test-script-2", "kernel_id": "39747"}, {"ref": "kumareshd/test-script-gradboost", "kernel_id": "57423"}, {"ref": "majhra/notebook-1ea99d590c35b70ab125", "kernel_id": "35272"}, {"ref": "apd540/notebook-ac275c47abdeff979a5e", "kernel_id": "37630"}, {"ref": "apd540/notebook-723d75f82ffe8d56cf18", "kernel_id": "37632"}, {"ref": "hassanfarid/notebook-8a9f3ddc27528bd31a6d", "kernel_id": "37135"}, {"ref": "skynetai/fixing-typos", "kernel_id": "49268"}, {"ref": "falconzyx/test-code", "kernel_id": "54870"}, {"ref": "falconzyx/notebook-16526ae47b5d92cdb542", "kernel_id": "54858"}, {"ref": "falconzyx/initial", "kernel_id": "54860"}, {"ref": "kperif/sklearn-random-forest", "kernel_id": "39361"}, {"ref": "milivojevic/gbm-beat-the-benchmark", "kernel_id": "34074"}, {"ref": "rajatshah/exploring", "kernel_id": "52613"}, {"ref": "mrthedave/notebook-9b39af106563cca0aff3", "kernel_id": "53290"}, {"ref": "itodorovic/missing-script", "kernel_id": "56211"}, {"ref": "itodorovic/fixing-typos", "kernel_id": "50819"}, {"ref": "jonsheller/n-grams-and-random-forest-grid-search", "kernel_id": "37984"}, {"ref": "achinjindall/exploratory-analysis-train-and-test", "kernel_id": "39411"}, {"ref": "gprasa7s/some-checks", "kernel_id": "38017"}, {"ref": "gprasa7s/notebook-726c44e64db30d6ecd20", "kernel_id": "38018"}, {"ref": "gprasa7s/notebook-1c21f8102039018020e6", "kernel_id": "35763"}, {"ref": "gprasa7s/data-exploration", "kernel_id": "35769"}, {"ref": "gprasa7s/notebook-a2321c5e796543087f92", "kernel_id": "35770"}, {"ref": "gprasa7s/benchmark-score-script", "kernel_id": "35678"}, {"ref": "gprasa7s/some-check", "kernel_id": "35679"}, {"ref": "gprasa7s/asdfg", "kernel_id": "36711"}, {"ref": "gprasa7s/notebook-2021f1d50bc46dbff12b", "kernel_id": "36712"}, {"ref": "gprasa7s/sklearn-random-forest", "kernel_id": "36714"}, {"ref": "amaterasu/notebook-cf26ca5470620cfa723d", "kernel_id": "36754"}, {"ref": "amaterasu/notebook-8865384f6e59e8adf967", "kernel_id": "36755"}, {"ref": "amaterasu/notebook-687a4565a69db503ab06", "kernel_id": "36756"}, {"ref": "amaterasu/test-product-info", "kernel_id": "36757"}, {"ref": "orchid/rfr-features-0-47203", "kernel_id": "44418"}, {"ref": "bakiev/notebook-313d7ee6281fbaf9f9ea", "kernel_id": "52139"}, {"ref": "cast42/test-script-1", "kernel_id": "56666"}, {"ref": "nkhuyu/rf-mean-squared-e", "kernel_id": "36465"}, {"ref": "barryscott/fixing-typos-f41f470f", "kernel_id": "121805"}, {"ref": "dsoreo/benchmark-score-script", "kernel_id": "33944"}, {"ref": "dsoreo/testing-python", "kernel_id": "33954"}, {"ref": "dsoreo/testing-r", "kernel_id": "34139"}, {"ref": "lefromage/notebook-dc0f4c24bb4d2d5c2875", "kernel_id": "37725"}, {"ref": "stprior/homedepotscratch", "kernel_id": "36998"}, {"ref": "stprior/notebook-851d911ca4e32ba42c2a", "kernel_id": "36360"}, {"ref": "stprior/notebook-96886311b3068d155983", "kernel_id": "39770"}, {"ref": "stprior/notebook-1f8cecdfda356316846b", "kernel_id": "39773"}, {"ref": "stprior/cross-reference-sparse-vectors", "kernel_id": "45745"}, {"ref": "amielm/trying-it-out", "kernel_id": "34260"}, {"ref": "anuragreddygv323/data-exploration", "kernel_id": "35584"}, {"ref": "agolubovich94/notebook-e7e1a5a7d8cf2b0e20d9", "kernel_id": "49271"}, {"ref": "ericmartinez/notebook-f40894de5d7b77cc16e1", "kernel_id": "51819"}, {"ref": "kendatsuba/notebook-5a25f949397ac0b8477d", "kernel_id": "34515"}, {"ref": "shuklaks/gbm-2101", "kernel_id": "34470"}, {"ref": "ashish9/notebook-eab8251680a1cfc82988", "kernel_id": "36641"}, {"ref": "parth126/notebook-1de37d5d4addaaae652c", "kernel_id": "43379"}, {"ref": "parth126/fixing-typos", "kernel_id": "47321"}, {"ref": "flyingmeatball/sklearn-random-forest", "kernel_id": "40462"}, {"ref": "cintron/notebook-53c76e4f8b8cc5f2d462", "kernel_id": "43830"}, {"ref": "jiweiliu/test-script-1", "kernel_id": "38992"}, {"ref": "coltsfan/notebook-970490c3cc838e965b89", "kernel_id": "34931"}, {"ref": "coltsfan/notebook-84ded92392a1c4e3d4f9", "kernel_id": "34867"}, {"ref": "sumitl/notebook-7d01d2e0ad48dda79654", "kernel_id": "39714"}, {"ref": "sumitl/test-script-1", "kernel_id": "39710"}, {"ref": "olest1980/clustering-of-product-descriptions", "kernel_id": "38558"}, {"ref": "chenglongchen/rf-mean-squared-error", "kernel_id": "38523"}, {"ref": "dankolbman/rf-with-brands", "kernel_id": "36371"}, {"ref": "datenkieker/notebook-76dd64be43d3cd3ec673", "kernel_id": "34942"}, {"ref": "usixuz/fixing-typos", "kernel_id": "48981"}, {"ref": "romanos/data-expl", "kernel_id": "38612"}, {"ref": "muchogu/notebook-015de9c73fa801a2371f", "kernel_id": "40035"}, {"ref": "kaggler110855/sample", "kernel_id": "35434"}, {"ref": "jasonmathews/notebook-7abd76d2e05fdf2364f8", "kernel_id": "36594"}, {"ref": "jasonmathews/notebook-d8a74daef280044f09cc", "kernel_id": "36452"}, {"ref": "mihaikondort/notebook-e7cfee82bdf839a3bd2f", "kernel_id": "36691"}, {"ref": "dimitrislev/homedepot-seeds2", "kernel_id": "36896"}, {"ref": "dimitrislev/rf-mean-squared-error", "kernel_id": "38525"}, {"ref": "jojovi/fixing-typos", "kernel_id": "47646"}, {"ref": "jojovi/notebook-3a871cce6753246aa384", "kernel_id": "47648"}, {"ref": "bytyey/notebook-4a350cd46b2fca5f1fa3", "kernel_id": "33982"}, {"ref": "bytyey/notebook-5ffbcfd19bd835c4aba9", "kernel_id": "33989"}, {"ref": "phhuang/notebook-5f33ed60801995c387a8", "kernel_id": "44393"}, {"ref": "mdjmay/notebook-7beb89a0aa82880fdbab", "kernel_id": "40097"}, {"ref": "myloginid/notebook-57b19b851475f5adc661", "kernel_id": "39191"}, {"ref": "myloginid/rf-mean-squared-error", "kernel_id": "39193"}, {"ref": "chaotic/rf-mean-squared-error", "kernel_id": "37882"}, {"ref": "chaotic/notebook-fb616498863142581ac2", "kernel_id": "36774"}, {"ref": "chaotic/notebook-bf0d8b22d175cde8b212", "kernel_id": "36776"}, {"ref": "chaotic/notebook-b4938eccf59808aff019", "kernel_id": "36777"}, {"ref": "chaotic/notebook-8aece7dc81a87fd9b580", "kernel_id": "36781"}, {"ref": "chaotic/notebook-fcbafd9d900446954b44", "kernel_id": "36782"}, {"ref": "venika/notebook-378d4ebed53c5c899fa8", "kernel_id": "40676"}, {"ref": "venika/notebook-521e06ca8f0df34172ab", "kernel_id": "40677"}, {"ref": "tuxnguyen/notebook-d67f8e95c8cd5f06e5b5", "kernel_id": "40076"}, {"ref": "sravanb/rfr-features-0-47203", "kernel_id": "40518"}, {"ref": "jmjnob/home-depot-string-matching", "kernel_id": "39450"}, {"ref": "jeanpaulshapo/notebook-0cf57602e72ae1ed6306", "kernel_id": "35766"}, {"ref": "jeanpaulshapo/notebook-195a806e6344233dcbde", "kernel_id": "35767"}, {"ref": "rafaelcosman/rf-mean-squared-error", "kernel_id": "42943"}, {"ref": "rafaelcosman/homedepotsolution", "kernel_id": "42934"}, {"ref": "zhenyangpan/notebook-d19a4ef8c868e04d99f6", "kernel_id": "54418"}, {"ref": "yobygnam/notebook-b84ee2a9b32a1ee61596", "kernel_id": "54252"}, {"ref": "mldude/testhd", "kernel_id": "39758"}, {"ref": "skyjiao/testtest", "kernel_id": "56769"}, {"ref": "nlothian/rfr-features-0-47203", "kernel_id": "40111"}, {"ref": "nlothian/notebook-a280fc78a8906bcc3b9c", "kernel_id": "38853"}, {"ref": "nlothian/monkey-ngrams-notebook", "kernel_id": "39000"}, {"ref": "nlothian/notebook-6096e6cc68551857d547", "kernel_id": "38976"}, {"ref": "ankitj/notebook-5877ef71ced568030e58", "kernel_id": "51315"}, {"ref": "soundwaveli00/rf-mean-squared-error", "kernel_id": "35201"}, {"ref": "soundwaveli00/test-script-1", "kernel_id": "38999"}, {"ref": "soundwaveli00/rfr-features-0-47203", "kernel_id": "42718"}, {"ref": "randomguess/notebook-7f3ee00f60925f56a1a6", "kernel_id": "35895"}, {"ref": "timkreienkamp/notebook-f266f9c8a99e0801bea6", "kernel_id": "34183"}, {"ref": "ezequielaguilar/rf-mean-squared-error", "kernel_id": "39800"}, {"ref": "ezequielaguilar/rfr-features-0-47203", "kernel_id": "39801"}, {"ref": "jwegas/fixing-typos", "kernel_id": "52293"}, {"ref": "jwegas/notebook-cc29d044ddc970e0130f", "kernel_id": "52236"}, {"ref": "jwegas/asdsad", "kernel_id": "52238"}, {"ref": "jwegas/test-1", "kernel_id": "52252"}, {"ref": "jwegas/test-2", "kernel_id": "52254"}, {"ref": "jwegas/functions-and-imports", "kernel_id": "52258"}, {"ref": "jonathan1182/home-depot-data-prep", "kernel_id": "43996"}, {"ref": "kainan/notebook-e454fba267e711dc2459", "kernel_id": "44679"}, {"ref": "raghparihar/rfr-features-0-47203", "kernel_id": "40056"}, {"ref": "raghparihar/rf-mean", "kernel_id": "38570"}, {"ref": "raghparihar/rf-mean-s", "kernel_id": "37643"}, {"ref": "raghparihar/rf-mean-squared-e", "kernel_id": "35427"}, {"ref": "nanr1987/testing-py-script", "kernel_id": "37554"}, {"ref": "xauen1980/firsttest1-1", "kernel_id": "47671"}, {"ref": "fnogueira/notebook-c029e4b3dc030177d06b", "kernel_id": "40588"}, {"ref": "fnogueira/testing", "kernel_id": "40589"}, {"ref": "kishoreb4/rfr-features-0-47203", "kernel_id": "39691"}, {"ref": "mangan/hd-sample", "kernel_id": "34546"}, {"ref": "hawkphil/notebook-954e9fd32296071fdfa6", "kernel_id": "37245"}, {"ref": "sushize/fixing-typos", "kernel_id": "49927"}, {"ref": "sushize/notebook-bc6942384525a2bf8405", "kernel_id": "49928"}, {"ref": "scyllagist/notebook-78fa70736ba5a0ada32d", "kernel_id": "35424"}, {"ref": "scyllagist/sklearn-random-forest", "kernel_id": "35394"}, {"ref": "scyllagist/notebook-5a2572e03c11cf6957e5", "kernel_id": "35387"}, {"ref": "scyllagist/test1", "kernel_id": "35388"}, {"ref": "carbal/notebook-685dbe0fdb33ccdad283", "kernel_id": "45729"}, {"ref": "carbal/testeu", "kernel_id": "45730"}, {"ref": "farmiurl/notebook-005e7744b1c81e93d45c", "kernel_id": "39880"}, {"ref": "koszpe/notebook-b97067dd2a9b73cf71e6", "kernel_id": "39343"}, {"ref": "jkarayil/notebook-02007af34342323e2f2b", "kernel_id": "37445"}, {"ref": "hemalthakkar/env-version", "kernel_id": "39615"}, {"ref": "hemalthakkar/rfr-features-0-47203", "kernel_id": "39460"}, {"ref": "bogdanmelnik/notebook-924f5ee5158266c2f489", "kernel_id": "37398"}, {"ref": "yassinealouini/first-xgb-script", "kernel_id": "44461"}, {"ref": "aikinogard/fixing-typos", "kernel_id": "48847"}, {"ref": "paulhendricks/notebook-a6c0ffad987e3678b615", "kernel_id": "34131"}, {"ref": "nitini/notebook-33ae3a70868d8b76195f", "kernel_id": "38652"}, {"ref": "gaitaneduardo/notebook-deb4f30313e69f4ebe87", "kernel_id": "45872"}, {"ref": "gaitaneduardo/notebook-f44cde214de979c891de", "kernel_id": "45873"}, {"ref": "danijelk/notebook-b14ed0e1e81899c984c8", "kernel_id": "34939"}, {"ref": "tshevcom/notebook-9ba5dd9907fd2aa6c421", "kernel_id": "52496"}, {"ref": "tshevcom/notebook-25cd56d7846ef0529319", "kernel_id": "46387"}, {"ref": "renvaldas/testing", "kernel_id": "43868"}, {"ref": "umenon/notebook-565595301484153e905e", "kernel_id": "48671"}, {"ref": "nganman/notebook-0b374025b29797bd0c4a", "kernel_id": "52592"}, {"ref": "sivakumard/notebook-1b69aa41abd20f464969", "kernel_id": "57134"}, {"ref": "dixitgaurav/rfr-features-0-47203-gd", "kernel_id": "56971"}, {"ref": "michaelpawlus/test-script-1", "kernel_id": "39172"}, {"ref": "naingenieu/fixing-typos", "kernel_id": "48492"}, {"ref": "luoql1986/rfr-features-0-47203", "kernel_id": "41363"}, {"ref": "beltsazar/notebook-975b386a635e1e251b63", "kernel_id": "37327"}, {"ref": "beltsazar/notebook-663d8d6059d5b9816853", "kernel_id": "35921"}, {"ref": "beltsazar/notebook-d56ec717afcd050352b8", "kernel_id": "36518"}, {"ref": "starsdeep/rfr-features-0-47203", "kernel_id": "42766"}, {"ref": "republic966/exploring-the-home-depot-data", "kernel_id": "50970"}, {"ref": "loobenets/notebook-3196eb15765826e774c2", "kernel_id": "36419"}, {"ref": "benjaminsingleton/notebook-90302b329c706a80a816", "kernel_id": "34790"}, {"ref": "subbusw/notebook-86f4aad252099d7164fc", "kernel_id": "53841"}, {"ref": "dhruvansh/notebook-ccb6cafd1364d69901fc", "kernel_id": "34256"}, {"ref": "ishuca/notebook-ba497a3c070cd175d63f", "kernel_id": "39957"}, {"ref": "charleych/notebook-4f77ea1a635df8006111", "kernel_id": "43360"}, {"ref": "web8341/try-123", "kernel_id": "81689"}, {"ref": "samrotashoka/trying2new", "kernel_id": "57393"}, {"ref": "samrotashoka/notebook-e72b807c4fe95f082aaf", "kernel_id": "53975"}, {"ref": "samrotashoka/notebook-d435fda7c58ca6f517ef", "kernel_id": "53976"}, {"ref": "burningflame/notebook-8cd5bc5e8bde2fa2ecc4", "kernel_id": "36232"}, {"ref": "burningflame/rf-mean-squared-e", "kernel_id": "36412"}, {"ref": "rlkuhn/modified-benchark", "kernel_id": "37431"}, {"ref": "rlkuhn/notebook-5a3200c747dac2f0d2c4", "kernel_id": "37427"}, {"ref": "yuxipan/notebook-e2e17c3ebdfde84a6e33", "kernel_id": "47893"}, {"ref": "yuxipan/fixing-typos", "kernel_id": "48085"}, {"ref": "darraghdog/test-script-1", "kernel_id": "39707"}, {"ref": "danielsafai/homedepot-data-ex", "kernel_id": "43364"}, {"ref": "steubk/fixing-typos", "kernel_id": "46425"}, {"ref": "wathteam/notebook-17b8d96e0ceb427ebe81", "kernel_id": "37098"}, {"ref": "sundancekid/rfr-features-0-47203", "kernel_id": "40758"}, {"ref": "sundancekid/suitablestrategies", "kernel_id": "52661"}, {"ref": "kesamet/rf-test1", "kernel_id": "38329"}, {"ref": "tebesu/notebook-685cca59b5fbf36115c0", "kernel_id": "41662"}, {"ref": "tebesu/notebook-8211d8a2074cd93461fb", "kernel_id": "41645"}, {"ref": "sweetsyrup/notebook-4dbd40d6d76dc7396fe3", "kernel_id": "70757"}, {"ref": "sweetsyrup/notebook-89ef991f924b25329a74", "kernel_id": "43417"}, {"ref": "vikashsingh/data-exploration", "kernel_id": "37448"}, {"ref": "vikashsingh/notebook-fee2b5f652c2404f05da", "kernel_id": "35580"}, {"ref": "flodej/notebook-e8122f0de4dbe3c0109e", "kernel_id": "39527"}, {"ref": "lvraikkonen/fixing-typos", "kernel_id": "48186"}, {"ref": "lvraikkonen/notebook-1141bf9837a2c529175e", "kernel_id": "48187"}, {"ref": "lvraikkonen/rf-commonword-pipleline", "kernel_id": "38993"}, {"ref": "yannizhang/notebook-8ff4c7f02f656dc09944", "kernel_id": "69467"}, {"ref": "yannizhang/notebook-80423e008dc9e00cd14e", "kernel_id": "67672"}, {"ref": "teracrator/notebook-507eba313c631df1070e", "kernel_id": "43272"}, {"ref": "ronyrozas/seach-relevance", "kernel_id": "52367"}, {"ref": "ronyrozas/notebook-103b5ddcdf0da9a9de70", "kernel_id": "52539"}, {"ref": "stevenc/fixing-typos", "kernel_id": "46818"}, {"ref": "benjamm/notebook-f2442623c38d423fd1a6", "kernel_id": "34192"}, {"ref": "acamachodepass/notebook-38f60e74ce77669d6ba5", "kernel_id": "35425"}, {"ref": "acamachodepass/notebook-8519d1b3dbaa072a89a3", "kernel_id": "35426"}, {"ref": "acamachodepass/notebook-283edbf6e396e851a9d6", "kernel_id": "35418"}, {"ref": "ljiang/notebook-6bc619b45efbc8867509", "kernel_id": "44554"}, {"ref": "analyticsaddiction/notebook-6152bdb658a201236303", "kernel_id": "40675"}, {"ref": "dexterzt/notebook-3b2919db5d60e4a935d3", "kernel_id": "34421"}, {"ref": "dexterzt/notebook-f703b3531dc9dd470f85", "kernel_id": "34671"}, {"ref": "vincentf/test-package", "kernel_id": "41492"}, {"ref": "neoterics/rf-mean-squared-error", "kernel_id": "40699"}, {"ref": "methodsensembled/notebook-204dc1c25e2bcf66e255", "kernel_id": "34186"}, {"ref": "praveen24kumar/notebook-e682c06f48b6f2fa463e", "kernel_id": "50955"}, {"ref": "praveen24kumar/working-with-relationship-between-words", "kernel_id": "50980"}, {"ref": "praveen24kumar/notebook-1fa7c9db0e92bd3be5e4", "kernel_id": "50978"}, {"ref": "praveen24kumar/fixing-typos", "kernel_id": "50751"}, {"ref": "praveen24kumar/notebook-177601d9826fa30f0d4a", "kernel_id": "50752"}, {"ref": "bra2ed/first-1", "kernel_id": "36411"}, {"ref": "getasutosh/notebook-75840ca8df3b68dc8592", "kernel_id": "36318"}, {"ref": "ianianchen/notebook-4cd6bd20ef32ed8ce2a3", "kernel_id": "43313"}, {"ref": "kennyzhao/notebook-ca2cb7b32caa6f922c57", "kernel_id": "51259"}, {"ref": "shuvayan/rfr-features-0-47203", "kernel_id": "40701"}, {"ref": "shuvayan/rf-attr", "kernel_id": "37544"}, {"ref": "zhenjuan/notebook-ee75a8f83436a6b0d7e9", "kernel_id": "57044"}, {"ref": "abhishm/rfr-features-0-47203", "kernel_id": "43991"}, {"ref": "abhishm/notebook-a0cf8e9a8ea3b12d2e4b", "kernel_id": "43767"}, {"ref": "billyinn/notebook-19c33c7a2e02dc894aa5", "kernel_id": "48114"}, {"ref": "guaiguai/first", "kernel_id": "40347"}, {"ref": "olaf17/notebook-86eb86faa8a72b3d3777", "kernel_id": "34021"}, {"ref": "avi9999/try-dekhi9", "kernel_id": "35281"}, {"ref": "avi9999/try-skimiarity", "kernel_id": "35276"}, {"ref": "avi9999/rf-mean-squared-error", "kernel_id": "35185"}, {"ref": "avi9999/notebook-3583df3dae600daeaaf6", "kernel_id": "34894"}, {"ref": "avi9999/notebook-e89fc470cb3c3153f51d", "kernel_id": "34895"}, {"ref": "scirpus/test-script-1", "kernel_id": "41485"}, {"ref": "scirpus/attribute-metrics", "kernel_id": "55845"}, {"ref": "bridgetree/notebook-7c4528c74716a94f03e9", "kernel_id": "56762"}, {"ref": "hansolo/rf-mean-squared-error", "kernel_id": "38972"}, {"ref": "neoneuro/fixing-typos", "kernel_id": "46848"}, {"ref": "vamshiindla/gbm-beat-the-benchmark", "kernel_id": "39817"}, {"ref": "songyang0716/notebook-b620c2f3ce71ec3d124d", "kernel_id": "40235"}, {"ref": "mhkane/rf-mean-squared-error", "kernel_id": "46317"}, {"ref": "evaristoc/fixing-typos", "kernel_id": "76683"}, {"ref": "artist/notebook-4be09e862fa3836af5a4", "kernel_id": "34827"}, {"ref": "artist/notebook-2ca226927dca605ffed8", "kernel_id": "34786"}, {"ref": "artist/notebook-5c248d4d4f3aa16e96a7", "kernel_id": "34618"}, {"ref": "pawnty/notebook-597459d7e529016de18f", "kernel_id": "40830"}, {"ref": "pawnty/notebook-ddf61a73a488b2d3f4de", "kernel_id": "40831"}, {"ref": "panosc/notebook-7e3e6b8b4f6070725167", "kernel_id": "47324"}, {"ref": "khaoticmind/deep-learning-regression", "kernel_id": "50428"}, {"ref": "andirey/notebook-3ed47075ea39dbbe3370", "kernel_id": "42850"}, {"ref": "ageojo/notebook-eaefc4529e4c1a130d50", "kernel_id": "40610"}, {"ref": "michalthedude/fixing-typos", "kernel_id": "52313"}, {"ref": "husseinnegm/intermediate-no-model", "kernel_id": "37132"}, {"ref": "husseinnegm/rf-gridsearch", "kernel_id": "35693"}, {"ref": "kirillpanarin/notebook-92b03688105a9c42fabf", "kernel_id": "40073"}, {"ref": "walkman/notebook-160c4d1e934fbe5a09bd", "kernel_id": "39132"}, {"ref": "walkman/rf-mean-squared-error", "kernel_id": "39133"}, {"ref": "walkman/test-systemversion", "kernel_id": "39541"}, {"ref": "aliangng/lianghd", "kernel_id": "41239"}, {"ref": "mg1433011/notebook-f6fd8205cd8601dbc622", "kernel_id": "67989"}, {"ref": "onepau/notebook-34cc064b32e20b937685", "kernel_id": "39730"}, {"ref": "onepau/rfr-features-0-47203", "kernel_id": "39731"}, {"ref": "sangxuan/notebook-80734e21a37c312dc703", "kernel_id": "36124"}, {"ref": "justfor/homedepot-playground", "kernel_id": "35156"}, {"ref": "lesaffrea/fixing-typos", "kernel_id": "57704"}, {"ref": "united/test-script-apr-23", "kernel_id": "56760"}, {"ref": "united/home-depot-2", "kernel_id": "56660"}, {"ref": "united/random-forest-regressor-v1", "kernel_id": "56442"}, {"ref": "wilaou/notebook-363907c388dfc1d975a5", "kernel_id": "53310"}, {"ref": "ashishdutt/notebook-ff51764aa80946c8325e", "kernel_id": "34481"}, {"ref": "ashishdutt/notebook-405286350fdc50b0c4bf", "kernel_id": "34508"}, {"ref": "ashishdutt/notebook-890a6a667fd9026548ed", "kernel_id": "34419"}, {"ref": "ashishdutt/notebook-a8b5367494b060d41522", "kernel_id": "34448"}, {"ref": "ashishdutt/notebook-219c73b02c1f694ba6de", "kernel_id": "34450"}, {"ref": "ashishdutt/exploratory-data-analysis-1", "kernel_id": "34287"}, {"ref": "camillepradel/notebook-d22237db65bac2967e31", "kernel_id": "53992"}, {"ref": "biased/first", "kernel_id": "35618"}, {"ref": "jeffgrizzle/notebook-f54e7d04f58275c4b4cb", "kernel_id": "37528"}, {"ref": "jeffgrizzle/notebook-3293ac07642ec011e7b8", "kernel_id": "37529"}, {"ref": "signochastic/test-script-apr-23", "kernel_id": "56742"}, {"ref": "signochastic/test-22-4", "kernel_id": "56514"}, {"ref": "signochastic/notebook-e8091215ea5e075b10b5", "kernel_id": "36012"}, {"ref": "signochastic/rf-commonword-pipleline", "kernel_id": "41175"}, {"ref": "signochastic/random-forest-depot", "kernel_id": "40061"}, {"ref": "signochastic/rfr-features-try", "kernel_id": "39837"}, {"ref": "signochastic/rf-1602-01", "kernel_id": "39844"}, {"ref": "signochastic/rf-mean-squared-error", "kernel_id": "38969"}, {"ref": "yaojenchang/notebook-c3a4b19fe8462a3f99d7", "kernel_id": "60167"}, {"ref": "yaojenchang/notebook-44ac13413c80c9d2877f", "kernel_id": "56969"}, {"ref": "yaojenchang/test-script-2", "kernel_id": "57042"}, {"ref": "yaojenchang/notebook-2c1372c88990a0717257", "kernel_id": "57175"}, {"ref": "yaojenchang/notebook-752fb0f312d8e1a95159", "kernel_id": "57176"}, {"ref": "yaojenchang/fixing-typos", "kernel_id": "57549"}, {"ref": "yaojenchang/notebook-897bedbf58e630a42347", "kernel_id": "57555"}, {"ref": "yaojenchang/notebook-b742fe199b43e434f66a", "kernel_id": "57556"}, {"ref": "yaojenchang/notebook-fe881785be8bc07ddd6c", "kernel_id": "57557"}, {"ref": "yaojenchang/rfr-features-0-47203-test", "kernel_id": "57430"}, {"ref": "yaojenchang/notebook-4bac331b124f3edc7b53", "kernel_id": "57447"}, {"ref": "yaojenchang/notebook-9fae0e996608b675c041", "kernel_id": "57472"}, {"ref": "yaojenchang/notebook-f956312a7d58a53fdf57", "kernel_id": "57463"}, {"ref": "yaojenchang/notebook-548fe73a71f1480cb456", "kernel_id": "57838"}, {"ref": "weiqingy/notebook-e3e0ff5960b8f1010efa", "kernel_id": "39762"}, {"ref": "weiqingy/rfr-features-0-47203", "kernel_id": "39763"}, {"ref": "reshreat/notebook-f7fd2419331bcdb4d8c7", "kernel_id": "36141"}, {"ref": "reshreat/notebook-ef2609b8a266c304866a", "kernel_id": "58235"}, {"ref": "johnsavageireland/notebook-d4cbb163a034d620b4a7", "kernel_id": "38682"}, {"ref": "dschwertfeger/notebook-0c321a93005015baaeea", "kernel_id": "35916"}, {"ref": "saminiemi/sklearn-random-forest", "kernel_id": "34937"}, {"ref": "physheng/notebook-4fe103c37ebc2c3ce23d", "kernel_id": "57378"}, {"ref": "shawn775/rf-mean-squared-error", "kernel_id": "37424"}, {"ref": "cinkie/notebook-5fc30c54859a9c71e379", "kernel_id": "38980"}, {"ref": "fionachen/test-script-2", "kernel_id": "38793"}, {"ref": "zhugds/test-script-1-2", "kernel_id": "36234"}, {"ref": "traviswww/aaaweqweqw", "kernel_id": "48721"}, {"ref": "innerproduct/rf-mean-squared-error-orig", "kernel_id": "37912"}, {"ref": "naheed/fixing-typos", "kernel_id": "50764"}, {"ref": "naheed/data-exploration", "kernel_id": "52108"}, {"ref": "drgrub/notebook-5ba09dfbf1a365c65721", "kernel_id": "37167"}, {"ref": "jasonpong/notebook-50271b357adba67b19a7", "kernel_id": "52664"}, {"ref": "mlesna/notebook-e18bfc62c7bf86b8c71e", "kernel_id": "47045"}, {"ref": "mlesna/notebook-3c36beeeb56e7c4c2990", "kernel_id": "47046"}, {"ref": "duttaroy/fixing-typos", "kernel_id": "52026"}, {"ref": "caaa81/homedepot-seed-23-c", "kernel_id": "34745"}, {"ref": "caaa81/otra-copia-mejorada", "kernel_id": "35192"}, {"ref": "buaahsh/rfr-features", "kernel_id": "44414"}, {"ref": "cheers/notebook-27c13d7a25b7b9b7e923", "kernel_id": "40229"}, {"ref": "alessandromarrella/notebook-c46c2af589238ec72a02", "kernel_id": "39051"}, {"ref": "ahlmann/notebook-237aee2b87f4c994f70d", "kernel_id": "57363"}, {"ref": "headtomecca/notebook-84c031b38366fc570269", "kernel_id": "43665"}, {"ref": "soumyasmruti/notebook-8e280352435abf07322d", "kernel_id": "51051"}, {"ref": "soumyasmruti/test-script-1", "kernel_id": "52783"}, {"ref": "attivillisriharsha/notebook-50d9513a22445aaedf1f", "kernel_id": "40531"}, {"ref": "jaredchung/testing-notebook", "kernel_id": "35158"}, {"ref": "yuichiiwanami/notebook-343deb17108505e0dd22", "kernel_id": "48612"}, {"ref": "iliasemenov/rf-mean-squared-error", "kernel_id": "37616"}, {"ref": "kelexu/notebook-1b8af88c8e4871c5f21f", "kernel_id": "34928"}, {"ref": "kelexu/notebook-b6538d35b2269c792fab", "kernel_id": "34929"}, {"ref": "kelexu/word-cloud", "kernel_id": "34930"}, {"ref": "arshad01/fixing-typos", "kernel_id": "47257"}, {"ref": "arshad01/notebook-7370988490f48359527a", "kernel_id": "46390"}, {"ref": "hxd1011/exploring-the-home-depot-data", "kernel_id": "38995"}, {"ref": "kyoshida/rf-mean-squared-error", "kernel_id": "37824"}, {"ref": "rkmalaiya/notebook-c0c87c6247bc94e5fb9e", "kernel_id": "52402"}, {"ref": "valeriia/notebook-1b0f753c5e5a08137a04", "kernel_id": "48815"}, {"ref": "nester/checking", "kernel_id": "34716"}, {"ref": "wongwlb/data-exploration", "kernel_id": "49220"}, {"ref": "wongwlb/notebook-ac7a4b66627c40f001e1", "kernel_id": "49385"}, {"ref": "kotomord/test-22-4", "kernel_id": "56665"}, {"ref": "teemuk/testi", "kernel_id": "45571"}, {"ref": "guangyoung/notebook-a7a7167c365062baa7c8", "kernel_id": "43127"}, {"ref": "hidewawa12/notebook-0f19b5626adecfd8551a", "kernel_id": "71077"}, {"ref": "jasoncolon/notebook-ec0ac1b8869aab43247f", "kernel_id": "40638"}, {"ref": "wangjuan313/test-py", "kernel_id": "39021"}, {"ref": "wangjuan313/rf-mean-squared-error", "kernel_id": "39167"}, {"ref": "shifanmao/notebook-54f3fafbe816b2cd7a4f", "kernel_id": "45325"}, {"ref": "shifanmao/nlp-based-methods", "kernel_id": "45327"}, {"ref": "shifanmao/notebook-0934ce8943a1f0dc6031", "kernel_id": "45329"}, {"ref": "shifanmao/notebook-116d090acf8d3d86c269", "kernel_id": "45340"}, {"ref": "geruispring/notebook-5b6e38118a67ada78866", "kernel_id": "43681"}, {"ref": "geruispring/notebook-136a7ae82b88fc75be14", "kernel_id": "43682"}, {"ref": "albarazanchi/notebook-31adb56cd25a928e1263", "kernel_id": "34709"}, {"ref": "odeeen/notebook-119fcd9cb6608d9f5958", "kernel_id": "38669"}, {"ref": "burness/rf-mean-squared-error", "kernel_id": "39065"}, {"ref": "burness/rfr-features-0-47203", "kernel_id": "39680"}, {"ref": "arrchana/notebook-027328dc8da9b3acce8f", "kernel_id": "54543"}, {"ref": "arrchana/notebook-febc0d6bee6fcc43c146", "kernel_id": "43383"}, {"ref": "datasj/xgboost-2", "kernel_id": "34801"}, {"ref": "thomasjaskula/notebook-02e157977b209b2645c1", "kernel_id": "36260"}, {"ref": "hemanthjoshi/modified-benchark", "kernel_id": "55852"}, {"ref": "hemanthjoshi/xgb-beat-the-benchmark", "kernel_id": "55846"}, {"ref": "sc151491124/notebook-f13de4f11943701c335e", "kernel_id": "39258"}, {"ref": "khaledfayed/rf-mean-squared-e", "kernel_id": "35796"}, {"ref": "khaledfayed/rf-mean-squared-error", "kernel_id": "35195"}, {"ref": "xiangshiyin/notebook-38d33434adefd8797720", "kernel_id": "50522"}, {"ref": "cavalloni/notebook-6bc3a4e48abc4120b794", "kernel_id": "44226"}, {"ref": "jana36/notebookb13c87c9b3", "kernel_id": "161232"}, {"ref": "nerdiac/notebook-f202807ffaf9e498a2b7", "kernel_id": "35621"}, {"ref": "nerdiac/relevance-of-a-search-result", "kernel_id": "35622"}, {"ref": "nerdiac/notebook-b3917ea7140a723186ff", "kernel_id": "35623"}, {"ref": "nerdiac/notebook-1c8b94f40617946b399a", "kernel_id": "35624"}, {"ref": "nerdiac/exploring-the-home-depot-data", "kernel_id": "35625"}, {"ref": "nerdiac/notebook-24f53b082af5618ed851", "kernel_id": "35627"}, {"ref": "anthonyyeo/new-script-16feb", "kernel_id": "39013"}, {"ref": "anthonyyeo/homedepotnew", "kernel_id": "38799"}, {"ref": "amandus/rf-mean-squared-error", "kernel_id": "38534"}, {"ref": "eeriee/system-version", "kernel_id": "40103"}, {"ref": "eeriee/notebook-a373611ad4698c2a94df", "kernel_id": "37573"}, {"ref": "eeriee/notebook-6c84298a624a961f40bb", "kernel_id": "37576"}, {"ref": "eeriee/notebook-33ec0af0a5d3a8c81944", "kernel_id": "37597"}, {"ref": "eeriee/home-depot", "kernel_id": "36618"}, {"ref": "eeriee/notebook-c5058f6f36b90ea8c329", "kernel_id": "35490"}, {"ref": "eeriee/notebook-e671fea1a7459429c58d", "kernel_id": "35519"}, {"ref": "eeriee/notebook-80d482965d7800303469", "kernel_id": "35520"}, {"ref": "razahabib/first-attempt-using-a-random-forest", "kernel_id": "40152"}, {"ref": "razahabib/notebook-206bd5b2730bd42d23e4", "kernel_id": "40139"}, {"ref": "breezeyuner/test-1st", "kernel_id": "36373"}, {"ref": "misun6312/notebook-55d43b8daa754120f70e", "kernel_id": "35464"}, {"ref": "misun6312/notebook-00f6a85cdeda1a0911d9", "kernel_id": "35384"}, {"ref": "philliplemons/test-script", "kernel_id": "56823"}, {"ref": "jiajiaxingxing/rf-mean-squared-error-test", "kernel_id": "40444"}, {"ref": "jiajiaxingxing/rf-mean-squared-error", "kernel_id": "40340"}, {"ref": "drchrisarthur/notebook-de5a058d0ca01cf85e81", "kernel_id": "52177"}, {"ref": "abhilashawasthi/homedepot-seed-23", "kernel_id": "34570"}, {"ref": "abhilashawasthi/rf-mean-squared-e", "kernel_id": "35540"}, {"ref": "lancerts/notebook-0a711b88a19118077ca6", "kernel_id": "46662"}, {"ref": "lancerts/notebook-dbc9353485834933ddc9", "kernel_id": "46663"}, {"ref": "lancerts/test-script-1", "kernel_id": "46664"}, {"ref": "niteloser/notebook-6eb3a3038ab364092e22", "kernel_id": "38943"}, {"ref": "niteloser/notebook-20515b8004ccc0e8456d", "kernel_id": "39109"}, {"ref": "niteloser/notebook-54ceb12364243b60d45e", "kernel_id": "39111"}, {"ref": "niteloser/benchmarkscript", "kernel_id": "39112"}, {"ref": "niteloser/notebook-b137a2dcb72c7c8f1a8c", "kernel_id": "38425"}, {"ref": "blackcore/sklearn-random-forest", "kernel_id": "35224"}, {"ref": "blackcore/rf-mean-squared-error", "kernel_id": "35225"}, {"ref": "blackcore/rf-mean-squared-error2", "kernel_id": "35229"}, {"ref": "blackcore/nltk-stemmer-distance", "kernel_id": "36585"}, {"ref": "blackcore/dt-ada-test", "kernel_id": "36586"}, {"ref": "blackcore/nltk-similarity", "kernel_id": "36793"}, {"ref": "blackcore/nltk-similarity-test", "kernel_id": "36795"}, {"ref": "blackcore/rf-brand-feat", "kernel_id": "36791"}, {"ref": "blackcore/rf-brand-test", "kernel_id": "36421"}, {"ref": "blackcore/rf-preproc-mse", "kernel_id": "37017"}, {"ref": "blackcore/n-grams-rf", "kernel_id": "38025"}, {"ref": "blackcore/rf-mse-bf", "kernel_id": "37906"}, {"ref": "blackcore/rfr-features", "kernel_id": "39284"}, {"ref": "blackcore/xgb-feats", "kernel_id": "39578"}, {"ref": "blackcore/rfr-mse", "kernel_id": "45894"}, {"ref": "fripside/notebook-d7f1c3129237fab86780", "kernel_id": "67211"}, {"ref": "paradesi/notebook-adb2ae76e2cb53566045", "kernel_id": "50568"}, {"ref": "socrates/notebook-f7ac1c29e4f3eafcea65", "kernel_id": "52903"}, {"ref": "bekterra/notebook-c2ff71a218bae0486a0d", "kernel_id": "65665"}, {"ref": "hoodlum1022/notebook-90be86498199aaa57954", "kernel_id": "40080"}, {"ref": "jonasrais/notebook-e883ffa3220ab04f7419", "kernel_id": "34144"}, {"ref": "ys19931006/rf-mean-squared-error111111", "kernel_id": "38761"}, {"ref": "ys19931006/dffffff", "kernel_id": "38535"}, {"ref": "ys19931006/rf-mean-squared-error22", "kernel_id": "37538"}, {"ref": "ys19931006/rf-mean-squared-error", "kernel_id": "37032"}, {"ref": "rcolebaugh/notebook-9cb8d78c997cc1bd5916", "kernel_id": "36133"}, {"ref": "wooliekyat/wooliekyat", "kernel_id": "52466"}, {"ref": "wooliekyat/this-is-a-test-file", "kernel_id": "80095"}, {"ref": "shivonkar/finalscript", "kernel_id": "46843"}, {"ref": "aaron7sun/fixing-typos", "kernel_id": "111849"}, {"ref": "albinocordeiro/notebook-eea0e7b568cc85b86e33", "kernel_id": "47757"}, {"ref": "albinocordeiro/exploring", "kernel_id": "46767"}, {"ref": "albinocordeiro/notebook-4ae05493b2c8abf50f14", "kernel_id": "46761"}, {"ref": "scotch/testtt", "kernel_id": "56805"}, {"ref": "sanary/hdsanary", "kernel_id": "47066"}, {"ref": "pippobaudos/notebook-0b08826df6f775e97b07", "kernel_id": "47836"}, {"ref": "pippobaudos/sklearn-random-forest", "kernel_id": "47837"}, {"ref": "m00nlight/rfr-features-0-47203", "kernel_id": "43341"}, {"ref": "dlearner/notebook-af929a130dfae7f56f0d", "kernel_id": "33978"}, {"ref": "vegabondx/fixing-typos", "kernel_id": "49722"}, {"ref": "mattsteinpreis/notebook-6586d300690745b02a99", "kernel_id": "34639"}, {"ref": "othosbro/exploring-the-home-depot-data", "kernel_id": "35057"}, {"ref": "kpogrebenko/atrtbiutes-dummy", "kernel_id": "36555"}, {"ref": "abednadir/notebook-a9e5ba63b05c80bcca99", "kernel_id": "40033"}, {"ref": "abednadir/test-script-1", "kernel_id": "40034"}, {"ref": "oorion/notebook-186db9074a77d27ddff1", "kernel_id": "39958"}, {"ref": "oorion/rf-mean-squared-error", "kernel_id": "39959"}, {"ref": "niran04/notebook-d4b423c6d234c3767f40", "kernel_id": "44237"}, {"ref": "geekdad/test-script-1d", "kernel_id": "49248"}, {"ref": "geekdad/gbm-beat-the-benchmark", "kernel_id": "49096"}, {"ref": "geekdad/notebook-2aaf8ea42885ceda8edb", "kernel_id": "49064"}, {"ref": "geekdad/rfr-features-0-47203", "kernel_id": "49003"}, {"ref": "geekdad/rf-mean-squared-error32", "kernel_id": "51017"}, {"ref": "myamaguchi/test-script-1", "kernel_id": "39025"}, {"ref": "myamaguchi/rf-mean-squared-error", "kernel_id": "38012"}, {"ref": "myamaguchi/rf-mean-squared-error2", "kernel_id": "38165"}, {"ref": "remap1/get-train-validation-indices", "kernel_id": "35518"}, {"ref": "alexlzzz/rf-mean-squared-al1", "kernel_id": "35851"}, {"ref": "alexlzzz/rf-mean-squared-error", "kernel_id": "37880"}, {"ref": "alexlzzz/homedepot-seed-23-c", "kernel_id": "34770"}, {"ref": "hellozeyu/test-script-1", "kernel_id": "45542"}, {"ref": "arpangupta87/my11111", "kernel_id": "43429"}, {"ref": "arpangupta87/t1-script", "kernel_id": "43426"}, {"ref": "arpangupta87/test-alpha-1", "kernel_id": "49644"}, {"ref": "olddrill/notebook-e2ee4c8ffb94d205be02", "kernel_id": "37155"}, {"ref": "dongjunlee/notebook-b763375ddd07c6e35902", "kernel_id": "38626"}, {"ref": "alishah/notebook-6924d0ff3c5ff2082c0f", "kernel_id": "38926"}, {"ref": "alishah/notebook-84ff4c5c25f74796caf0", "kernel_id": "58779"}, {"ref": "rishabh123/notebook-cc1d92f7c237919ce1fb", "kernel_id": "39563"}, {"ref": "robabrown/notebook-154a407732e44277f3e8", "kernel_id": "34685"}, {"ref": "zulanu/test123", "kernel_id": "34888"}, {"ref": "ddgirela/notebook-a837cbc015f7808930ac", "kernel_id": "34203"}, {"ref": "ddgirela/notebook-b5bce6e61b97b1d2b9b0", "kernel_id": "34204"}, {"ref": "beijia/notebook-ca3c88c74d212d758ac6", "kernel_id": "38664"}, {"ref": "sray1234/first-test", "kernel_id": "44543"}, {"ref": "pasaitowitz/notebook-dad1e8d4c876a815488d", "kernel_id": "37324"}, {"ref": "fsyed1/notebook-08c35d8301551c8e7de0", "kernel_id": "46890"}, {"ref": "fsyed1/notebook-6e65be2dd81dfa02064d", "kernel_id": "43269"}, {"ref": "fsyed1/test-script-1", "kernel_id": "43270"}, {"ref": "fsyed1/notebook-be5c0e6a7120e5877c43", "kernel_id": "48993"}, {"ref": "fsyed1/notebook-24f8f7da27eae5668560", "kernel_id": "49320"}, {"ref": "fsyed1/notebook-378643b1202522b63860", "kernel_id": "49321"}, {"ref": "fsyed1/notebook-9f2982eb562945968ff6", "kernel_id": "49345"}, {"ref": "tamal059/rf-mean-squared-error", "kernel_id": "40030"}, {"ref": "liuyiqun/benchmark", "kernel_id": "34973"}, {"ref": "liuyiqun/notebook-9afbfaa08ce654f1d945", "kernel_id": "34974"}, {"ref": "mbyanfei/notebook-ffcbe44e7df3ec69be73", "kernel_id": "47247"}, {"ref": "wenxuanchen/sklearn-random-forest", "kernel_id": "34478"}, {"ref": "barino28/newasd", "kernel_id": "34354"}, {"ref": "weewey/notebook-23d2d7fe807b0fbc0689", "kernel_id": "40665"}, {"ref": "weewey/notebook-202383de3b22c21846f8", "kernel_id": "40662"}, {"ref": "buinyi/notebook-21cebdbbd389f1a4483e", "kernel_id": "37663"}, {"ref": "buinyi/notebook-72876712ccb257606198", "kernel_id": "39476"}, {"ref": "buinyi/notebook-0f533fe2ef0da5f95889", "kernel_id": "54232"}, {"ref": "buinyi/notebook-75bd8697d91dda9a8dd6", "kernel_id": "54223"}, {"ref": "buinyi/notebook-7afc02f3e9ebda48ee84", "kernel_id": "54199"}, {"ref": "buinyi/notebook-e49d793338ba50847018", "kernel_id": "54204"}, {"ref": "buinyi/disclosing-external-data", "kernel_id": "54907"}, {"ref": "saurabhkansal/notebook-962fcc4a29e1082e4ad2", "kernel_id": "36778"}, {"ref": "saurabhkansal/home-depot", "kernel_id": "36768"}, {"ref": "dimetrix/fixing-typos", "kernel_id": "49242"}, {"ref": "kennardi/notebook-d556c981350b564d1b20", "kernel_id": "42829"}, {"ref": "kovidreddy/notebook-debe07556b5081d7c65e", "kernel_id": "53122"}, {"ref": "mayukh18/formatting", "kernel_id": "44861"}, {"ref": "mayukh18/rf-mean-squared-error", "kernel_id": "44803"}, {"ref": "plewanda/rfr-features-0-47203", "kernel_id": "39489"}, {"ref": "plewanda/test-script-1", "kernel_id": "38861"}, {"ref": "pp1992/notebook-cf1e133c32e529cadb31", "kernel_id": "51255"}, {"ref": "fcocervera/notebook-c0d36afa6c935b113b01", "kernel_id": "39223"}, {"ref": "versemonger/notebook-79a484591ccd05998384", "kernel_id": "48333"}, {"ref": "versemonger/notebook-c514bdb02ed0f61a8452", "kernel_id": "48334"}, {"ref": "avinash096/fixing-typos", "kernel_id": "48071"}, {"ref": "avinash096/notebook-4212b9ed70648ec276bd", "kernel_id": "48094"}, {"ref": "avinash096/notebook-87ebfc808d5e5a0b9a68", "kernel_id": "49191"}, {"ref": "avinash096/notebook-7ec20a7524631022a25f", "kernel_id": "52780"}, {"ref": "avinash096/sklearn-random-forest", "kernel_id": "52781"}, {"ref": "juliendurand/notebook-f77fddbea641ce494e3a", "kernel_id": "35610"}, {"ref": "juliendurand/exploration-notebook", "kernel_id": "35598"}, {"ref": "juliendurand/exploration", "kernel_id": "35599"}, {"ref": "cleobatista/notebook-0d512c9bfc55e3644dbd", "kernel_id": "50601"}, {"ref": "cleobatista/notebook-4a799bed1d5397edd068", "kernel_id": "50602"}, {"ref": "cleobatista/notebook-c54b229178d217293aa5", "kernel_id": "50591"}, {"ref": "cleobatista/notebook-73f713943398425be880", "kernel_id": "50593"}, {"ref": "cleobatista/working-with-relationship-between-words", "kernel_id": "50594"}, {"ref": "cleobatista/notebook-4bcbcd11aa88c2da287e", "kernel_id": "50597"}, {"ref": "cleobatista/notebook-82aa91b40727596077ab", "kernel_id": "50598"}, {"ref": "cleobatista/home-depot", "kernel_id": "34443"}, {"ref": "cleobatista/notebook-8db35a297a79e1fb6d3b", "kernel_id": "35583"}, {"ref": "beteemde/rfr-test", "kernel_id": "39503"}, {"ref": "beteemde/home-depot", "kernel_id": "36703"}, {"ref": "beteemde/rf-mean-squared-error", "kernel_id": "37763"}, {"ref": "beteemde/grid-test", "kernel_id": "38809"}, {"ref": "beteemde/test-script-1", "kernel_id": "45580"}, {"ref": "beteemde/rfr-features-0-47203", "kernel_id": "55449"}, {"ref": "beteemde/notebook-03f7be0fae1a2f2ae342", "kernel_id": "55454"}, {"ref": "polosot/notebook-0705cc8bc769b5dd439c", "kernel_id": "35371"}, {"ref": "hossain/notebook-8a500057db22c28fd60e", "kernel_id": "38058"}, {"ref": "jenniferbd/notebook-9607108f3486953bb11a", "kernel_id": "51414"}, {"ref": "ryabokonroman/home-depot", "kernel_id": "36664"}, {"ref": "ryabokonroman/notebook-e04adc1a2e511885d789", "kernel_id": "36665"}, {"ref": "ryabokonroman/thehomedepot", "kernel_id": "36666"}, {"ref": "tunguz/rfr-features-0-47203", "kernel_id": "55494"}, {"ref": "tunguz/rfr-features", "kernel_id": "55513"}, {"ref": "tunguz/homedepot-seed-23", "kernel_id": "34578"}, {"ref": "tunguz/gbm-beat-the-benchmark-01", "kernel_id": "34189"}, {"ref": "tunguz/rf-mean-squared-error2", "kernel_id": "35389"}, {"ref": "tunguz/playin", "kernel_id": "38902"}, {"ref": "tunguz/notebook-0182e58f6d2a2b9b8ead", "kernel_id": "38904"}, {"ref": "tunguz/test-script-2", "kernel_id": "38906"}, {"ref": "andrewdumit/test-for-home-depot", "kernel_id": "45086"}, {"ref": "millerintllc/rf-depot", "kernel_id": "39799"}, {"ref": "millerintllc/hd-rf", "kernel_id": "39466"}, {"ref": "millerintllc/random-forest-depot", "kernel_id": "38753"}, {"ref": "millerintllc/data-mining", "kernel_id": "38797"}, {"ref": "millerintllc/rf-rules-gradient-boosting-drools", "kernel_id": "38640"}, {"ref": "millerintllc/rf-mean-squared-error", "kernel_id": "38635"}, {"ref": "netka6/notebook-2fa58ad76e1466ae414b", "kernel_id": "38358"}, {"ref": "defadt/notebook-941d18eafa42a8461f32", "kernel_id": "39477"}, {"ref": "pararols/xgb-beat-the-benchmark", "kernel_id": "35248"}, {"ref": "pararols/gbm-beat-the-benchmark", "kernel_id": "34676"}, {"ref": "zty9030/notebook-c1548284cb961e4bb4a8", "kernel_id": "45482"}, {"ref": "yyao12/notebook-e9e06d3c5111cc3d35cd", "kernel_id": "44312"}, {"ref": "yyao12/notebook-a72d6cfe777d1582307d", "kernel_id": "44313"}, {"ref": "yyao12/notebook-660e7aaad2c444d4961d", "kernel_id": "36578"}, {"ref": "santipdp/notebook-dc94914b22d9cd41f267", "kernel_id": "45874"}, {"ref": "raiderx/notebook-d098116c91b2ed845b78", "kernel_id": "44436"}, {"ref": "aeros15/abcdss", "kernel_id": "60389"}, {"ref": "aeros15/notebook-1cc313e8ce3aa04dbd8f", "kernel_id": "60393"}, {"ref": "akarfonta/notebook-ec7b285232aff75e0eae", "kernel_id": "50606"}, {"ref": "aksbond7/rfr-features-0-47203", "kernel_id": "40029"}, {"ref": "junfeng/sklearn-random-forest-merge-attributes", "kernel_id": "36829"}, {"ref": "junfeng/notebook-c2b28be7d4bddaea028a", "kernel_id": "36686"}, {"ref": "smnkmr/notebook-93241728da0e51339b41", "kernel_id": "57613"}, {"ref": "aerohead/hd-notebook", "kernel_id": "46023"}, {"ref": "mounika5/relevance-of-a-search-result", "kernel_id": "162475"}, {"ref": "abhisheknamballa/notebook-b17d955ade1525e39a14", "kernel_id": "46686"}, {"ref": "broziere/notebook-8f300c7379f8e46ad902", "kernel_id": "35638"}, {"ref": "tuntuku/notebook-a2a38f94ac6f401f72c0", "kernel_id": "36049"}, {"ref": "tuntuku/notebook-8f2f647117dff3d72b78", "kernel_id": "36050"}, {"ref": "barca1990/notebook-ae1dc14db21f5c589c5f", "kernel_id": "57149"}, {"ref": "smenon8/home-depot-product-search-mynb", "kernel_id": "943896"}, {"ref": "matrix007/rfr-features-0-47326", "kernel_id": "39274"}, {"ref": "jacksonbeazer/notebook-4d909565ab2e92481658", "kernel_id": "36552"}, {"ref": "lvzhiqiang/testdata", "kernel_id": "34495"}, {"ref": "lvzhiqiang/notebook-75303eecba742d3a646a", "kernel_id": "35875"}, {"ref": "nathanwdavis/notebook-47ebed4d62847385133a", "kernel_id": "34604"}, {"ref": "fedoreme69/notebook-5a8f0ecd8f9bcb50ca4d", "kernel_id": "50638"}, {"ref": "ohi123/notebook-63b9009d7aafecd429b8", "kernel_id": "36364"}, {"ref": "wufengkeduo/notebook-d88be491bafe2e880499", "kernel_id": "51047"}, {"ref": "wufengkeduo/notebook-d3a55165942f40525f5b", "kernel_id": "51048"}, {"ref": "omarelgabry/notebook-3968026a67a538229189", "kernel_id": "39363"}, {"ref": "omarelgabry/notebook-bf6159d57a6a62615fb0", "kernel_id": "39365"}, {"ref": "omarelgabry/notebook-22eb5e891a87c6d9ebe9", "kernel_id": "39366"}, {"ref": "omarelgabry/predict-search-relevance-by-count-words", "kernel_id": "39359"}, {"ref": "omarelgabry/notebook-26ab1af50c016c4795fd", "kernel_id": "39369"}, {"ref": "reneboy/sample-word-cloud-for-home-depot", "kernel_id": "34975"}, {"ref": "bluelight773/test-script-1", "kernel_id": "55865"}, {"ref": "saurabhk666/notebook-220e5d007e9c443f4508", "kernel_id": "36742"}, {"ref": "face1e55/fixing-typos", "kernel_id": "73380"}, {"ref": "kanggle/notebook-8a0adc63f3d293da48d0", "kernel_id": "36749"}, {"ref": "anusha123/notebook-f8be738cd87cfe6bc46e", "kernel_id": "56837"}, {"ref": "herbertshaw/notebook-7a7d8e9b335251347529", "kernel_id": "54358"}, {"ref": "herbertshaw/notebook-b9ffef22ffa72880224f", "kernel_id": "54469"}, {"ref": "herbertshaw/first-x", "kernel_id": "54704"}, {"ref": "herbertshaw/rfriii", "kernel_id": "54937"}, {"ref": "zhanqing/notebook-2d49aca50e1a76928824", "kernel_id": "34799"}, {"ref": "mikkelbjorn/notebook-fb875234d08618563e03", "kernel_id": "34096"}, {"ref": "mikkelbjorn/notebook-5a74293d94497a269144", "kernel_id": "37158"}, {"ref": "josephpr/data-exploration-homedepot", "kernel_id": "40630"}, {"ref": "doubtnot/notebook-e03d9a454bd8973acc12", "kernel_id": "54934"}, {"ref": "massenet/relevance-of-a-search-result", "kernel_id": "34248"}, {"ref": "massenet/notebook-52b172df8c5e89549693", "kernel_id": "34249"}, {"ref": "massenet/notebook-21c0c9d0138180d5336b", "kernel_id": "34251"}, {"ref": "massenet/notebook-254b6275f0179c9327b5", "kernel_id": "34252"}, {"ref": "massenet/notebook-ff9c5d7709f7b2a1b87d", "kernel_id": "34261"}, {"ref": "massenet/notebook-dd6fab75371fc55bf53b", "kernel_id": "34262"}, {"ref": "massenet/notebook-129d60e8b792a5b93f9d", "kernel_id": "34263"}, {"ref": "massenet/notebook-a19373a2c7ed7e6de165", "kernel_id": "34268"}, {"ref": "massenet/notebook-9ca6723dc584b5263905", "kernel_id": "34269"}, {"ref": "massenet/notebook-9913e8fbdd625f0b245e", "kernel_id": "34270"}, {"ref": "massenet/notebook-7ce5a6fa9fc87c57e61c", "kernel_id": "34272"}, {"ref": "massenet/notebook-4487e800e083180a7607", "kernel_id": "34273"}, {"ref": "massenet/notebook-5217ca7d58d12f4f35f8", "kernel_id": "34274"}, {"ref": "massenet/notebook-ccec79698f9fa9ea7833", "kernel_id": "34275"}, {"ref": "rohansadale/notebook3787b51408", "kernel_id": "133744"}, {"ref": "rohansadale/notebook7cdf3bcb0c", "kernel_id": "133963"}, {"ref": "rohansadale/sklearn-random-forest", "kernel_id": "133955"}, {"ref": "kummok/notebook-7337f6e09c213eea564b", "kernel_id": "43121"}, {"ref": "imathur94/notebook-26a39e787ac2f2505011", "kernel_id": "39062"}, {"ref": "imathur94/notebook-be492a95e0ba43731987", "kernel_id": "39063"}, {"ref": "imathur94/notebook-d70a83d761d1b3cb5064", "kernel_id": "39075"}, {"ref": "imathur94/trialscript-im", "kernel_id": "39077"}, {"ref": "imathur94/notebook-e63b5b3ac9eb92b609fc", "kernel_id": "39406"}, {"ref": "federicofontana/test-script-1", "kernel_id": "44002"}, {"ref": "apartmentguru/notebook-bee15e8c90816c97d32b", "kernel_id": "39913"}, {"ref": "apartmentguru/snowballs-chance-in-hell", "kernel_id": "56064"}, {"ref": "divyaaigal/notebook-0096afe439002366a344", "kernel_id": "45707"}, {"ref": "lucienderubempre/rf-mean-squared-e", "kernel_id": "36433"}, {"ref": "jgcasatejada/notebook-b8cd41e459f6e447decb", "kernel_id": "43418"}, {"ref": "bcantagrel/notebook-bff62718e4ad15b92fd0", "kernel_id": "47143"}, {"ref": "srinivasareddyr/notebook-172b43c133883e84e4b1", "kernel_id": "43578"}, {"ref": "lixiaoxi89/notebook-4f4068257bd25c80c54e", "kernel_id": "45800"}, {"ref": "giuliano/notebook-28e66fe74f06faa3c257", "kernel_id": "56222"}, {"ref": "nliu86/notebook-4243e99d7c8b1e933e3f", "kernel_id": "48058"}, {"ref": "guilhermekalil/notebook-540ceee2cfcb52733fda", "kernel_id": "40328"}, {"ref": "aviatorx/notebook-630256ea8b1d08389084", "kernel_id": "44080"}, {"ref": "zhengyiyu/notebook-ec531e2c5805762dc219", "kernel_id": "35397"}, {"ref": "patternproject/notebook-0496eca20913775a9d27", "kernel_id": "34292"}, {"ref": "patternproject/relevance-of-a-search-result", "kernel_id": "34299"}, {"ref": "mikepb/notebook-015c011e2ce110ba8817", "kernel_id": "37506"}, {"ref": "cs2104/notebook-7fb5e406ba217ee92e2b", "kernel_id": "52294"}, {"ref": "ericye/rfr-features-0-47203", "kernel_id": "50457"}, {"ref": "ericye/rf-mean-squared-error", "kernel_id": "50454"}, {"ref": "stephenl/first-py", "kernel_id": "33977"}, {"ref": "stephenl/notebook-c6fa070c89c0cce61b0f", "kernel_id": "33979"}, {"ref": "rossxsy/notebook-899b70530a4cca3d9d46", "kernel_id": "34036"}, {"ref": "paulsavala/notebook-e04c2193e17b8bf917db", "kernel_id": "37175"}, {"ref": "paulsavala/notebook-0586a62b06f41a13d789", "kernel_id": "37176"}, {"ref": "paulsavala/notebook-2f86b7a661fbb3aaf915", "kernel_id": "36400"}, {"ref": "yonzhang/hello-world", "kernel_id": "49913"}, {"ref": "smithraphael/notebook-e54027fd448d07522856", "kernel_id": "47006"}, {"ref": "ryosukehonda/notebook-527f4a249f0cee4d184c", "kernel_id": "52601"}, {"ref": "ryosukehonda/notebook-1604d5ef0c2fbaa2c663", "kernel_id": "37990"}, {"ref": "miannelli/notebook-751ad6398672c0a76a56", "kernel_id": "39398"}, {"ref": "menny83/notebook-081ada1ac34434cd1438", "kernel_id": "43385"}, {"ref": "menny83/notebook-54e824f95c016ea09986", "kernel_id": "43386"}, {"ref": "menny83/notebook-0579ae03fbbd0fbd32cf", "kernel_id": "43389"}, {"ref": "menny83/notebook-66573d753d0543f7ac9a", "kernel_id": "43390"}, {"ref": "ggauravs/test-test", "kernel_id": "40521"}, {"ref": "pkrisz5/notebook-2c25fc2bdd6d06b35633", "kernel_id": "34945"}, {"ref": "pkrisz5/notebook-619634fbb95870b46ffe", "kernel_id": "34943"}, {"ref": "noikou/notebook-68374d84218a218a93f4", "kernel_id": "34379"}, {"ref": "genokiller/notebook-ee771b19f4bb7b3efb84", "kernel_id": "36417"}, {"ref": "prateekbhat/decision-tree-relevance1", "kernel_id": "54892"}, {"ref": "prateekbhat/fixing-typos", "kernel_id": "58069"}, {"ref": "elguapo77/notebook-bdb780e08043a884dd90", "kernel_id": "34167"}, {"ref": "smithishjose/notebook-0b32abd59fb9889ea9fc", "kernel_id": "35597"}, {"ref": "andytran/notebook-86b51cfa2cf11adf3193", "kernel_id": "36282"}, {"ref": "arjundatt/trial1", "kernel_id": "55626"}, {"ref": "lijinzhao/notebook-bf0ff252071e5bac3993", "kernel_id": "35846"}, {"ref": "rickxu9301/first-xgb-script", "kernel_id": "48775"}, {"ref": "chrisloy/notebook-c4c4dd9574224c4d6c33", "kernel_id": "45146"}, {"ref": "acapello/notebook-effb19077dbf149e8ddf", "kernel_id": "43499"}, {"ref": "anokas/gbm-beat-the-benchmark", "kernel_id": "44501"}, {"ref": "anokas/spellchecked-xgb", "kernel_id": "52046"}, {"ref": "anokas/create-pandas-dataframe-for-train-valid", "kernel_id": "37308"}, {"ref": "zczlzti/rfr-features-0-47203", "kernel_id": "46102"}, {"ref": "zczlzti/notebook-f77094978b83f2126e81", "kernel_id": "46582"}, {"ref": "esbensorig/notebook-abe36dcef82e34cee738", "kernel_id": "48603"}, {"ref": "tomvars/notebook-a950258dd5715abee181", "kernel_id": "39157"}, {"ref": "opsse42/notebook-e4f6b72ea31c15fecd1f", "kernel_id": "36949"}, {"ref": "opsse42/test-benchmark", "kernel_id": "36950"}, {"ref": "opsse42/notebook-38747bc13d09d7584564", "kernel_id": "36951"}, {"ref": "geosona/notebook-2f128da67279e5f7dd01", "kernel_id": "51647"}, {"ref": "tomvalh/demos", "kernel_id": "34519"}, {"ref": "tomvalh/demo2", "kernel_id": "34521"}, {"ref": "tomvalh/notebook-aa5ae0531eba8d71bf5d", "kernel_id": "34517"}, {"ref": "diwang/notebook-b510ae0831fa204b4fee", "kernel_id": "44236"}, {"ref": "thiagoaraujo/notebook-3be2852ababf6a3a66a6", "kernel_id": "34524"}, {"ref": "robertabalcytyte/notebook-d595993add27353b50fe", "kernel_id": "43619"}, {"ref": "dwang25/sklearn-random-forest", "kernel_id": "44063"}, {"ref": "xoulz7/notebook-6582c42b903051541327", "kernel_id": "34665"}, {"ref": "alianeamine/notebook-c3582eb42d329f93a752", "kernel_id": "40511"}, {"ref": "adrianprv/notebook-4d282a5c174bb9e724fb", "kernel_id": "35695"}, {"ref": "guxiang3936/notebook-291d299469c355913d6e", "kernel_id": "54151"}, {"ref": "fazlannazeem/notebook-e9268d17cf0b8c55e463", "kernel_id": "37102"}, {"ref": "luxinyan/homedepot-playground", "kernel_id": "60361"}, {"ref": "luxinyan/rf-mean-squared-error", "kernel_id": "60366"}, {"ref": "luxinyan/notebook-97dbe528b681a8ae2f4e", "kernel_id": "60039"}, {"ref": "luxinyan/notebook-2af1344fcfca2fdce9eb", "kernel_id": "60040"}, {"ref": "luxinyan/cross-reference-sparse-vectors", "kernel_id": "60048"}, {"ref": "luxinyan/fixing-typos", "kernel_id": "60034"}, {"ref": "panpur/notebook-2bb4aae6bbbd91b4a05f", "kernel_id": "44111"}, {"ref": "zavodrobotov/deep-learning-regression", "kernel_id": "77033"}, {"ref": "sellami/notebook-195c2e5e5537ecb265a3", "kernel_id": "44488"}, {"ref": "sellami/notebook-c87eddd963ba127fb87b", "kernel_id": "44489"}, {"ref": "georgieva/notebook-18373fa24f5d526adde7", "kernel_id": "45107"}, {"ref": "karandewan/notebook-e4b8ebbca3e11b3887ae", "kernel_id": "49847"}, {"ref": "karandewan/notebook-749adeedb0ef6832a54e", "kernel_id": "48562"}, {"ref": "liujxing/notebook-2811d1feec2a4a680a81", "kernel_id": "44646"}, {"ref": "liujxing/notebook-a3304c0751e83ebb467d", "kernel_id": "44647"}, {"ref": "liujxing/notebook-3c2f7b73016cedb1509a", "kernel_id": "44648"}, {"ref": "fjuderuphus/sample-1", "kernel_id": "35673"}, {"ref": "haichao/notebook-8252d62cceb66d3e8e80", "kernel_id": "65639"}, {"ref": "bd569334590/fixing-typos", "kernel_id": "50080"}, {"ref": "zfsang/fixing-typos", "kernel_id": "54278"}, {"ref": "hujianglin/rf-mean-squared-error", "kernel_id": "60035"}, {"ref": "srsasank/notebook-733df0ba8deead9855e7", "kernel_id": "44975"}, {"ref": "ericnie/notebook-5d3867299db842180e05", "kernel_id": "36073"}, {"ref": "marcol/notebook-e8a78c2a73f5b65849cd", "kernel_id": "36071"}, {"ref": "awzurn/notebook-92311b3462b4571898b5", "kernel_id": "51280"}, {"ref": "parthnp/notebook-f51095525ab0a7a5d9c7", "kernel_id": "44562"}, {"ref": "scrivna/sklearn-random-forest", "kernel_id": "41624"}, {"ref": "hswater1/rf-mean-squared-error", "kernel_id": "39609"}, {"ref": "kiri4a/test-script", "kernel_id": "36663"}, {"ref": "closeapproximation/approx", "kernel_id": "36873"}, {"ref": "mauricecflynn/sklearn-random-forest", "kernel_id": "36927"}, {"ref": "monamoore/notebook-4259504f4b4582a85a02", "kernel_id": "43207"}, {"ref": "lisabang/jkljk", "kernel_id": "39916"}, {"ref": "mathieugros/notebook-5f3fd8bedfe86f1c2a58", "kernel_id": "47730"}, {"ref": "samcharr/rf-mean-squared-error", "kernel_id": "38235"}, {"ref": "johannesulen/notebook-df0e014ed5f682ebd425", "kernel_id": "48980"}, {"ref": "nlin3330/notebook-1207acc62fa78b954d24", "kernel_id": "44500"}, {"ref": "kiran2sasi/notebook-0dea86002257522ecd8c", "kernel_id": "38891"}, {"ref": "harycane/notebookacf4e5c563", "kernel_id": "270608"}, {"ref": "hoperender/notebook-10da73c1584445e0a28a", "kernel_id": "37776"}, {"ref": "hoperender/notebook-a7a56132ac045662e33d", "kernel_id": "37781"}, {"ref": "hoperender/notebook-904648c2e5fa6e1cd4ac", "kernel_id": "37782"}, {"ref": "hoperender/notebook-ebef6a29c8e4057c8a33", "kernel_id": "38157"}, {"ref": "dsiap2/testing-list", "kernel_id": "37873"}, {"ref": "motoitanigaki/sample", "kernel_id": "39803"}, {"ref": "omjoonkim/notebook-2fef3ae5e3410062a68c", "kernel_id": "40310"}, {"ref": "omjoonkim/notebook-9a990f660447eb815384", "kernel_id": "40311"}, {"ref": "vlambertucci/notebook-d7f36440b3fccef34137", "kernel_id": "38734"}, {"ref": "vlambertucci/notebook-80fa6fb460f0a565b26a", "kernel_id": "38735"}, {"ref": "tyskaj/rf-mean-squared-error", "kernel_id": "39490"}, {"ref": "tyskaj/fixing-typos", "kernel_id": "50384"}, {"ref": "zzclaire/notebook-19476719233ee9f4841b", "kernel_id": "38852"}, {"ref": "villea/notebook-471fa6d4890246084a8a", "kernel_id": "38870"}, {"ref": "villea/sklearn-random-forest", "kernel_id": "38871"}, {"ref": "paultodo/notebook-26b29f7f3e7c1e3de957", "kernel_id": "55057"}, {"ref": "aeithne/notebook-55c06f89652905728589", "kernel_id": "41261"}, {"ref": "aeithne/notebook-9bd8e1a8a7d5a3b58588", "kernel_id": "46920"}, {"ref": "thomassemrok/notebook-089d2fa892be42e26d5d", "kernel_id": "39383"}, {"ref": "shawnwang/notebook-be327309e53353e8a5c5", "kernel_id": "39290"}, {"ref": "shawnwang/notebook-a24caa0a9dfed78f75da", "kernel_id": "39285"}, {"ref": "shawnwang/searchmatch", "kernel_id": "39286"}, {"ref": "shawnwang/notebook-e6c1ddcb4377942556d8", "kernel_id": "39287"}, {"ref": "shawnwang/notebook-f659774afb8481fcbf97", "kernel_id": "39288"}, {"ref": "shawnwang/notebook-c4d82df6eca742f63c14", "kernel_id": "39317"}, {"ref": "shawnwang/notebook-0dd423688ffd4394c086", "kernel_id": "39279"}, {"ref": "shawnwang/notebook-61fce24f539d427e6c09", "kernel_id": "39282"}, {"ref": "shawnwang/notebook-433443a1bdcb0ef519b4", "kernel_id": "39283"}, {"ref": "banner/notebook-7c98f578066b8aa1eae0", "kernel_id": "40796"}, {"ref": "dartcs174sudimaster/notebook-4ea47cb7f31f97552afe", "kernel_id": "43684"}, {"ref": "dartcs174sudimaster/sudimaster32", "kernel_id": "43792"}, {"ref": "dartcs174sudimaster/testonlytoday", "kernel_id": "41320"}, {"ref": "dartcs174sudimaster/testtest", "kernel_id": "41324"}, {"ref": "dartcs174sudimaster/notebook-d22e8b2799635473dae8", "kernel_id": "39561"}, {"ref": "dartcs74jst/rfr-features-0-47203", "kernel_id": "44484"}, {"ref": "psyking841/notebook-d7741f7d537e019ea9da", "kernel_id": "40529"}, {"ref": "sbehuret/notebook-9cced711b45ba87dc83b", "kernel_id": "40005"}, {"ref": "hugop92/notebook-3f3622be546d64b6c13a", "kernel_id": "40044"}, {"ref": "prasanna26/workf", "kernel_id": "60353"}, {"ref": "ntejada/rf-mean-squared-error", "kernel_id": "40241"}, {"ref": "eduardofranca/notebook-1a2d437934fb43ec5e70", "kernel_id": "40233"}, {"ref": "qdtbmh/notebook-f64ad74848600c51cfa5", "kernel_id": "45036"}, {"ref": "bofial/teste", "kernel_id": "40389"}, {"ref": "bofial/testinge", "kernel_id": "40566"}, {"ref": "lucaseduardo/notebook-63b1d3c70b6663565c25", "kernel_id": "40695"}, {"ref": "zivcarthy/fixing-typos", "kernel_id": "47999"}, {"ref": "zivcarthy/notebook-0d2dd615a64cbf3c5403", "kernel_id": "40740"}, {"ref": "zivcarthy/first-test-script", "kernel_id": "40741"}, {"ref": "zhlykan/haveatry", "kernel_id": "40645"}, {"ref": "teppeikns/notebook-6262ad94f40bd1ef1f6b", "kernel_id": "45547"}, {"ref": "teppeikns/testcodes", "kernel_id": "44518"}, {"ref": "teppeikns/notebook-03cd2aa94eafe39cd4fa", "kernel_id": "44341"}, {"ref": "guyserbun007/samplecode", "kernel_id": "41233"}, {"ref": "morgan201602/rf-mean-squared-error", "kernel_id": "41554"}, {"ref": "jlecoq/homee", "kernel_id": "42716"}, {"ref": "yueyang85/notebook-bb2075f941ca82a7dd1b", "kernel_id": "42964"}, {"ref": "yueyang85/test123", "kernel_id": "42965"}, {"ref": "yueyang85/notebook-1ee74014ca595eb11fa2", "kernel_id": "42966"}, {"ref": "britney/notebook-de53432570073bf60e93", "kernel_id": "43488"}, {"ref": "britney/notebook-b6484cd3d36221db6b22", "kernel_id": "43504"}, {"ref": "britney/notebook-84aa4a4c41bc6cfeb1ac", "kernel_id": "44963"}, {"ref": "britney/notebook-c81ed8ac2a06a67a42d1", "kernel_id": "45750"}, {"ref": "britney/notebook-0d6db267ae62781f1bd8", "kernel_id": "45741"}, {"ref": "sunlchk/rfr-features", "kernel_id": "55829"}, {"ref": "natalyasokolovskya/notebook-a56fd765c5b35bf5a457", "kernel_id": "43573"}, {"ref": "natalyasokolovskya/notebook-1380d2cae48486dc5137", "kernel_id": "43574"}, {"ref": "philippeb/notebook-b8fc1a5934e30867718c", "kernel_id": "43547"}, {"ref": "kevings14/notebook-0f67c1ebea7f72222081", "kernel_id": "43597"}, {"ref": "kevings14/notebook-8d075765a9d3e85f0026", "kernel_id": "48857"}, {"ref": "kevings14/kevin-testing", "kernel_id": "48858"}, {"ref": "amritansh28/notebook-d944819d85cde3e849a5", "kernel_id": "44190"}, {"ref": "tinahsu/homedepot-data-ex", "kernel_id": "51138"}, {"ref": "tlx668/notebook-ff27ae74645a1f4869e1", "kernel_id": "43813"}, {"ref": "sino30535/notebook-17fa644789bb0b0cead6", "kernel_id": "75530"}, {"ref": "sino30535/notebook-0e0c7749aaefa3cc7e7d", "kernel_id": "57899"}, {"ref": "sino30535/notebook-c163e2edc6287969bc09", "kernel_id": "57900"}, {"ref": "sino30535/notebook-4d88b1915124c61d2f9a", "kernel_id": "57901"}, {"ref": "sino30535/notebook-fe54b5f094133042981b", "kernel_id": "57902"}, {"ref": "yfkclass/test-v", "kernel_id": "43851"}, {"ref": "ryanpream/notebook-a361983e5708bd000eaa", "kernel_id": "50484"}, {"ref": "pringleslion/notebook-62044d0376fbead80bc9", "kernel_id": "54736"}, {"ref": "ziyangcong4/notebook-e1f1c38777e552cb58a3", "kernel_id": "47986"}, {"ref": "jontrabai/notebook-bb05ca7e5d77645f44d4", "kernel_id": "46483"}, {"ref": "jontrabai/hdsearch", "kernel_id": "46485"}, {"ref": "htiwari/notebook-5ba4d96bde86ae3bdd80", "kernel_id": "48684"}, {"ref": "jypucca/homedepot-contest", "kernel_id": "57435"}, {"ref": "jypucca/testing", "kernel_id": "57436"}, {"ref": "bobby00701/notebook-14f646d0231763d49096", "kernel_id": "47585"}, {"ref": "bobby00701/rf-mean-squared-error", "kernel_id": "47587"}, {"ref": "zhaoxiong/notebook-1d27e114d52017bed939", "kernel_id": "46513"}, {"ref": "nirupamkar/thehomedepot-py", "kernel_id": "56282"}, {"ref": "nirupamkar/script-r", "kernel_id": "54540"}, {"ref": "mishravarun/rfr-features-0-47203", "kernel_id": "46024"}, {"ref": "taolee/notebook-37880aa2804b079390c7", "kernel_id": "46493"}, {"ref": "jihyeseo/home-depot-prod-search-relevance-eda-sqlite", "kernel_id": "958267"}, {"ref": "puravmpatel/notebook-01990a97c30e7f45eced", "kernel_id": "46977"}, {"ref": "puravmpatel/notebook-8b10d55cfd67e2209dde", "kernel_id": "46979"}, {"ref": "puravmpatel/notebook-d280822c0f7e4d0ab908", "kernel_id": "46975"}, {"ref": "puravmpatel/notebook-2fc6ff89f7bca5067340", "kernel_id": "46965"}, {"ref": "zshawn1776/notebook-885c18655f985e4716ff", "kernel_id": "59898"}, {"ref": "zshawn1776/notebook-ab0cf16298a79e0cfa71", "kernel_id": "61704"}, {"ref": "shezan1437/notebook-7d5862347057b6425dc6", "kernel_id": "47858"}, {"ref": "shezan1437/first-xgb-script", "kernel_id": "47859"}, {"ref": "einsqiang/notebook-3e79c860dd7ef5e4deeb", "kernel_id": "55684"}, {"ref": "einsqiang/notebook-8bfea73485da3282ae65", "kernel_id": "55679"}, {"ref": "einsqiang/notebook-27d8dbfeef5570747f8d", "kernel_id": "55837"}, {"ref": "einsqiang/notebook-13ceb7591ab9c9011107", "kernel_id": "55838"}, {"ref": "sarora6/newproductsearch", "kernel_id": "55658"}, {"ref": "sarora6/my-script", "kernel_id": "55646"}, {"ref": "soumyajitdas/sklearn-random-forest", "kernel_id": "48444"}, {"ref": "dyfrigmon/submission1", "kernel_id": "51608"}, {"ref": "dyfrigmon/notebook-aa91ee40c12cc359909c", "kernel_id": "51609"}, {"ref": "point9repeating/notebook-46e27012c9d20903691b", "kernel_id": "48426"}, {"ref": "kindiana/notebook-1a89018e819333c661bb", "kernel_id": "49187"}, {"ref": "kindiana/notebook-32af92cf598090704165", "kernel_id": "49188"}, {"ref": "mengdi2016/fixing-typos", "kernel_id": "48835"}, {"ref": "mengdi2016/notebook-8b4cf345e9a59bdc2a3d", "kernel_id": "49087"}, {"ref": "coolife/notebook-43dfd9d07b5c587c07bb", "kernel_id": "56327"}, {"ref": "coolife/preprocessing-1", "kernel_id": "56020"}, {"ref": "coolife/preprocessing", "kernel_id": "55989"}, {"ref": "ederibhalo/data-exploration", "kernel_id": "49144"}, {"ref": "nathanbs/notebook-33f75c125b3689c6f162", "kernel_id": "52398"}, {"ref": "nicolasgomezparra/trying2", "kernel_id": "53813"}, {"ref": "nicolasgomezparra/prueba", "kernel_id": "52071"}, {"ref": "kristinka28/search", "kernel_id": "50518"}, {"ref": "techiefort/test11", "kernel_id": "97181"}, {"ref": "techiefort/todiscard", "kernel_id": "53550"}, {"ref": "techiefort/notebook-f4ad10cb9efc71ec88c6", "kernel_id": "53355"}, {"ref": "techiefort/mytest", "kernel_id": "53357"}, {"ref": "techiefort/mydataclean", "kernel_id": "61325"}, {"ref": "techiefort/mygbrtest", "kernel_id": "61327"}, {"ref": "chimera2016/data-exploration", "kernel_id": "63462"}, {"ref": "chimera2016/notebook-c009fb7e2cbf10e5a7ab", "kernel_id": "63463"}, {"ref": "chimera2016/notebook-1f5aea119d9f7c943a8e", "kernel_id": "63464"}, {"ref": "adnene/notebook-3d2c19a32134073dcbd1", "kernel_id": "57388"}, {"ref": "adnene/notebook-f854834ce82308cceedf", "kernel_id": "57170"}, {"ref": "adnene/notebook-7f0c4cb9e73f70442e8e", "kernel_id": "56929"}, {"ref": "adnene/first-try", "kernel_id": "56882"}, {"ref": "sanespinzon/notebook-277a779b70f8777fe407", "kernel_id": "57507"}, {"ref": "cuongdc/rfr-features", "kernel_id": "55180"}, {"ref": "dariyush/notebook-e72e3656cfe52b882db4", "kernel_id": "57294"}, {"ref": "satishraju/notebook-12dd812338a67b495b0a", "kernel_id": "52941"}, {"ref": "akilesh/notebook42edfc4912", "kernel_id": "229649"}, {"ref": "rmalshe/notebook6fcdb2b3b1", "kernel_id": "149093"}, {"ref": "jsulem/notebook63d5970c40", "kernel_id": "90476"}, {"ref": "nxmisnx/notebook-57c77725c83ea1c11160", "kernel_id": "55577"}, {"ref": "luishernandez/notebook-1d15ecd7b94eb03d04d0", "kernel_id": "63006"}, {"ref": "cj87holler/beginning-analysis", "kernel_id": "56336"}, {"ref": "x100tech/notebook-e39de9dfa792ea0db36f", "kernel_id": "57278"}, {"ref": "demoleo/notebook2ea1a92078", "kernel_id": "156397"}, {"ref": "demoleo/notebooke5c5b13d3e", "kernel_id": "156386"}, {"ref": "demoleo/notebook8f00a22bc2", "kernel_id": "156390"}, {"ref": "demoleo/notebook58dbfd3382", "kernel_id": "150698"}, {"ref": "demoleo/notebookd25cbe56f5", "kernel_id": "150528"}, {"ref": "lihappy999/notebook-894e014ed98a645cd02a", "kernel_id": "66890"}, {"ref": "xdli05/notebook-d7fc1e414c1cc8ac7a84", "kernel_id": "65121"}, {"ref": "coffeepot/home-depot-product-relevance-competition", "kernel_id": "230351"}, {"ref": "ravarora/notebookb221bc1b54", "kernel_id": "430633"}, {"ref": "ravarora/home-depot-product-search-using-rf-xgb", "kernel_id": "888876"}, {"ref": "saltfish/notebookb191b2d950", "kernel_id": "203554"}, {"ref": "chuhaoda/test-count-vector", "kernel_id": "257125"}, {"ref": "zerojnt/notebook-d13f29edbe989756d6fe", "kernel_id": "81104"}, {"ref": "tennissuperstar/data-exploration-1", "kernel_id": "139918"}, {"ref": "xingobar/simple-random-forest", "kernel_id": "111633"}, {"ref": "dixonhu/notebook6c636e7835", "kernel_id": "92257"}, {"ref": "stayalone/notebook6876c13d9f", "kernel_id": "211732"}, {"ref": "duanxian/notebook1e327d8e40", "kernel_id": "100107"}, {"ref": "afrato/notebook4943a0174f", "kernel_id": "138144"}, {"ref": "afrato/notebook1161197044", "kernel_id": "138260"}, {"ref": "afrato/notebooke131e661f4", "kernel_id": "138258"}, {"ref": "walijia/notebook62b9bfd55c", "kernel_id": "98169"}, {"ref": "ml2nlp/fixing-typos2", "kernel_id": "543597"}, {"ref": "sogandbabaee/notebookb8985c7d6e", "kernel_id": "119386"}, {"ref": "sogandbabaee/notebook67eb8bce93", "kernel_id": "124808"}, {"ref": "yimanzhang222/notebook8d568a178d", "kernel_id": "226915"}, {"ref": "yimanzhang222/notebook4c861eccd3", "kernel_id": "213162"}, {"ref": "navalchand/home-depot-product-search-using-rf-xgb", "kernel_id": "419832"}, {"ref": "sunder/notebook9a70306d88", "kernel_id": "241555"}, {"ref": "sunder/notebook001a8f85db", "kernel_id": "241559"}, {"ref": "nicolasbourbakis/notebook2587971c70", "kernel_id": "150815"}, {"ref": "am0506/notebook6fdfde3940", "kernel_id": "142483"}, {"ref": "fuyajing/rf-mean-squared-error", "kernel_id": "156138"}, {"ref": "fuyajing/home-depot", "kernel_id": "157109"}, {"ref": "fuyajing/data-exploration", "kernel_id": "157401"}, {"ref": "guoxuyang/sklearn-random-forest", "kernel_id": "210884"}, {"ref": "omagego/sklearn-random-forest", "kernel_id": "213199"}, {"ref": "hanaatucl/data-exploration", "kernel_id": "193348"}, {"ref": "hanaatucl/fork-of-homedepot-fixtypo", "kernel_id": "193352"}, {"ref": "hanaatucl/fork-of-homedepot-fixtypo-4d6774", "kernel_id": "193354"}, {"ref": "hanaatucl/notebookca83f06a5a", "kernel_id": "193542"}, {"ref": "hanaatucl/notebook5ef3b21e33", "kernel_id": "193530"}, {"ref": "hanaatucl/notebookfbc1a763aa", "kernel_id": "194485"}, {"ref": "hanaatucl/notebookc206f904bf", "kernel_id": "194458"}, {"ref": "hanaatucl/notebookae2f8f4eef", "kernel_id": "194430"}, {"ref": "hanaatucl/notebooka174527f3a", "kernel_id": "194393"}, {"ref": "donalmaceoin/sklearn-ensemble", "kernel_id": "199542"}, {"ref": "xiangwenning/notebookd1ad193c3a", "kernel_id": "228336"}, {"ref": "chenbotang/notebooka36c5d0c61", "kernel_id": "228074"}, {"ref": "yutinghao/notebookab21319c2d", "kernel_id": "213198"}, {"ref": "yijiajin/notebook029d7ae357", "kernel_id": "240202"}, {"ref": "christina233/notebook5f5d6f6f1b", "kernel_id": "228866"}, {"ref": "kakuxiaohe/notebookbee51bbfe5", "kernel_id": "228904"}, {"ref": "kakuxiaohe/notebook13e60d2fbf", "kernel_id": "228906"}, {"ref": "sanjivkarani/notebook1ad649703f", "kernel_id": "240858"}, {"ref": "sanjivkarani/notebooka846c8690d", "kernel_id": "241429"}, {"ref": "berton/home-depot-product-search-relevance", "kernel_id": "261092"}, {"ref": "thomasvdb/notebookb4304d31ab", "kernel_id": "267892"}, {"ref": "yuriicojocari/eda-analysis", "kernel_id": "2774148"}, {"ref": "ohsaeyoon/home-depot-p-s-r-final-version", "kernel_id": "4972183"}, {"ref": "shawamar/product-recommendation-system-for-e-commerce", "kernel_id": "5590743"}, {"ref": "richii/matchzoo-test", "kernel_id": "9245116"}, {"ref": "avrahamcalev/product-search-relevance-ass4", "kernel_id": "10486183"}, {"ref": "yanivrotaru/assignment-4-q-1", "kernel_id": "11015333"}, {"ref": "nathanjosephjacob/location-recommendation-system", "kernel_id": "12733138"}, {"ref": "rabiakhalilpk/product-recommendation-system-for-e-commerce", "kernel_id": "13199484"}, {"ref": "sukhanshudukare/product-recommendation-system-edi", "kernel_id": "13706080"}, {"ref": "id18020047/btl-home-depot-product-search-relevance", "kernel_id": "15975823"}, {"ref": "ritvik1909/neural-collaborative-filtering", "kernel_id": "16223355"}, {"ref": "phmngchiu/17020025-ph-m-ng-c-hi-u", "kernel_id": "16584988"}, {"ref": "id18020047/btl-neural-net", "kernel_id": "16514956"}, {"ref": "hoang1706/version5", "kernel_id": "16527108"}, {"ref": "lapali20/home-depot-product-search-relevance", "kernel_id": "16857950"}, {"ref": "zusmani/test-run-101", "kernel_id": "17123830"}, {"ref": "thep200/thephomedp", "kernel_id": "17637387"}, {"ref": "maggielavery2/home-depot-competition", "kernel_id": "18231458"}, {"ref": "yowtshjhj/hdp-search-relevant-from-doananh020418", "kernel_id": "22576371"}, {"ref": "quangnguyntrn/home-depot-product-search-relevance", "kernel_id": "22780678"}, {"ref": "dibyendubar/product-recommendation-system-for-e-commerce", "kernel_id": "22754308"}, {"ref": "marinagorbacheva/dss-model", "kernel_id": "22928616"}, {"ref": "darthreaver21/home-depot-int3405-19021268", "kernel_id": "23676352"}, {"ref": "amanalisiddiqui/product-recommendation-system-for-e-commerce", "kernel_id": "23824283"}, {"ref": "phamvinh/final-project", "kernel_id": "23701590"}, {"ref": "hoangbui171/home-depot-final", "kernel_id": "23692074"}, {"ref": "xuanbachtran/home-depot-search-relevance-19021222", "kernel_id": "23641058"}, {"ref": "namvt01/home-depot", "kernel_id": "23715197"}, {"ref": "imyourjoy/home-depot-product-search-relevance-ntko29", "kernel_id": "23678606"}, {"ref": "ungdng/18020363", "kernel_id": "23555724"}, {"ref": "trangtranmy/home-depot-product-search-relevance-tmht", "kernel_id": "23703336"}, {"ref": "lthhngthm/hdp-search-relevance", "kernel_id": "23706644"}, {"ref": "hiromisnase/home-depot-int3405", "kernel_id": "23378268"}, {"ref": "clemaldy/home-depot-product", "kernel_id": "23232067"}, {"ref": "hunnguynduy/home-depot", "kernel_id": "23629406"}, {"ref": "ngthhonganh/home-depot-product-search-relevance-ml", "kernel_id": "23637162"}, {"ref": "nmanhhung/home-depot-product-search-relevance", "kernel_id": "23673597"}, {"ref": "tranthanhlong130201/home-depot-product-search-relevance-final", "kernel_id": "23692122"}, {"ref": "kasamnikhilreddy16/product-recommendation-system-for-e-commerce", "kernel_id": "27006217"}, {"ref": "aanyaraj/product-recommendation-system-for-e-commerce", "kernel_id": "27113104"}, {"ref": "nelovkowl/trydssm", "kernel_id": "33156952"}, {"ref": "akm7mm/product-recommendation-system-for-e-commerce", "kernel_id": "33835811"}, {"ref": "kishoredurai/product-recommendation-system-for-e-commerce", "kernel_id": "34204234"}, {"ref": "nadagamal3/product-recommendation-system-for-e-commerce", "kernel_id": "34940273"}, {"ref": "nhtvanh/product-recommendation-system-for-e-commerce", "kernel_id": "34309880"}, {"ref": "kainla/tu-n-5-vgg19", "kernel_id": "36656190"}, {"ref": "atulyajaiswal22/product-recommendation-system-for-e-commerce", "kernel_id": "43907899"}, {"ref": "nk2912/home-depot-product-relevance-challenge", "kernel_id": "47681435"}, {"ref": "nk2912/home-depot-product-search-relevance", "kernel_id": "47482814"}, {"ref": "imnandini/recommender-system-based-on-purchasing-history", "kernel_id": "47494228"}, {"ref": "lowyuyao28/e-commerce-product-recommendation-system", "kernel_id": "53693004"}, {"ref": "rohitkumar962003/product-recommendation-system-for-e-commerc-3203fe", "kernel_id": "53617553"}, {"ref": "mallikarjunareddyk/product-recommendation-system-for-e-commerce", "kernel_id": "54274290"}, {"ref": "eshasabir17gmailcom/product-recommendation-system-for-e-commerce", "kernel_id": "58345692"}, {"ref": "dhirajpatra/product-recommendation-system-for-e-commerce", "kernel_id": "65748340"}, {"ref": "anggidwifiani/product-recommendation-system-for-e-commerce", "kernel_id": "65881597"}, {"ref": "cjfx0314/home-depot-product-search-relevance-2", "kernel_id": "65179202"}, {"ref": "scarletmclearn/product-recommendation-k-means-clustering", "kernel_id": "69587980"}, {"ref": "roeiyehezkel/dlw3-213138787", "kernel_id": "74750416"}, {"ref": "adityaks19/product-recommendation-system-for-e-commerce", "kernel_id": "75438700"}, {"ref": "finuri/product-recommendation-system-for-e-commerce", "kernel_id": "75700443"}, {"ref": "wellkilo/the-nltk-library-solve-nlp", "kernel_id": "82177564"}, {"ref": "wellkilo/keyword-search-advanced-version", "kernel_id": "82210266"}, {"ref": "cresendolls/sklearn-random-forest", "kernel_id": "83338421"}, {"ref": "iandehaan/sklearn-random-forest", "kernel_id": "83328954"}, {"ref": "setupspawn/product-recommendation-system-for-e-commerce", "kernel_id": "85781015"}, {"ref": "abr1998/recommender", "kernel_id": "86354666"}, {"ref": "vatsalyasoni/product-recommendation-system-for-e-commerc-8f6797", "kernel_id": "86778179"}, {"ref": "vmundhequantiphi/genai-assignment", "kernel_id": "91479571"}, {"ref": "jaivardhanshukla/geiai-assignment-jaivardhan", "kernel_id": "92215950"}, {"ref": "adham3lam/e-commerce-recommendation-system", "kernel_id": "95582343"}, {"ref": "apoorvdixit999/product-recommendation-system-for-e-commerc-8dc1da", "kernel_id": "119938933"}, {"ref": "furkanzmez/home-depot-search-eda", "kernel_id": "127985825"}, {"ref": "ndidang/rev-ecit", "kernel_id": "131685156"}]}
{"competition_id": "4857", "kernels": []}
{"competition_id": "4860", "kernels": []}
{"competition_id": "4862", "kernels": [{"ref": "benhamner/list-input-files-7", "kernel_id": "37941"}, {"ref": "rafalisko/notebook-024e095895591aefa402", "kernel_id": "45794"}, {"ref": "rafalisko/notebook-7150e6d14565906b5c23", "kernel_id": "45795"}, {"ref": "skellert/notebook-07e771a542cb5045aba9", "kernel_id": "47607"}, {"ref": "skellert/notebook-e9eea9f9a73b7fa08f16", "kernel_id": "47608"}, {"ref": "harshhpareek/getting-started", "kernel_id": "44434"}, {"ref": "harshhpareek/ncaam-exploratory-analysis", "kernel_id": "45220"}, {"ref": "itsnadeem85/notebook-f42fb6f94709a03af21e", "kernel_id": "39712"}, {"ref": "woshialex/notebook-ee48c615595a797ca9af", "kernel_id": "43923"}, {"ref": "kymhorsell1/notebook-2035894b8577c9a92168", "kernel_id": "39268"}, {"ref": "wacaxx/elo-benchmark-playerratings-in-r", "kernel_id": "38277"}, {"ref": "wacaxx/seed-benchmark-data-table-in-r", "kernel_id": "38237"}, {"ref": "dmytrolystopad/elo-rating-try", "kernel_id": "40733"}, {"ref": "otanet123/winner-by-seed", "kernel_id": "106381"}, {"ref": "titericz/genetic-programming-2", "kernel_id": "44508"}, {"ref": "titericz/genetic-programming-1", "kernel_id": "44086"}, {"ref": "maccam912/notebook-df7d13fec5c37145f9af", "kernel_id": "38371"}, {"ref": "maccam912/notebook-5c650c2c12f4aa3df6de", "kernel_id": "38374"}, {"ref": "maccam912/winner-by-seed", "kernel_id": "38256"}, {"ref": "maccam912/notebook-35f9ffcf59f81475c970", "kernel_id": "38892"}, {"ref": "nishkgp/notebook-c70307f7654cd9496b09", "kernel_id": "38463"}, {"ref": "gsirow/notebook-5d6340a8150431e087e3", "kernel_id": "38446"}, {"ref": "alexig/notebook-35e7990a60f8a1b9eaa6", "kernel_id": "43809"}, {"ref": "alexig/ncaam-exploratory-analysis", "kernel_id": "43215"}, {"ref": "alexig/getting-started", "kernel_id": "43222"}, {"ref": "bswan85/notebook-ddd3a9e7780e964d31bb", "kernel_id": "44273"}, {"ref": "anth80/notebook-a394ffc30a3219801226", "kernel_id": "40191"}, {"ref": "chandrad/notebook-883973b3c5e442291cf7", "kernel_id": "45440"}, {"ref": "dishostak/notebook-5bf634a103201efe8593", "kernel_id": "46995"}, {"ref": "dishostak/notebook-516cfe98170d98e8aadf", "kernel_id": "46996"}, {"ref": "eneloop/notebook-9277cf14d66fb9d27436", "kernel_id": "84372"}, {"ref": "eneloop/notebook-75884ca634415e79977d", "kernel_id": "84373"}, {"ref": "matthewcrowson/notebook-e366bb9659628881f7a3", "kernel_id": "40715"}, {"ref": "bakiev/extree", "kernel_id": "46155"}, {"ref": "bakiev/mlmmlm", "kernel_id": "46505"}, {"ref": "syclik/notebook-bc632ece7d2139c6f7bf", "kernel_id": "47248"}, {"ref": "goodspellr/notebook-ec181e6af3b1531fc76e", "kernel_id": "50088"}, {"ref": "datenkieker/genetic-final", "kernel_id": "47207"}, {"ref": "pacastejon/notebook-9526ae7ca402c2462c01", "kernel_id": "38833"}, {"ref": "bdilday/blahff", "kernel_id": "48907"}, {"ref": "wpasfield/predictions-vs-actual-visualization", "kernel_id": "46313"}, {"ref": "wpasfield/notebook-e8d46d40181a5ba8d566", "kernel_id": "46310"}, {"ref": "victoriaragland/getting-started", "kernel_id": "45825"}, {"ref": "victoriaragland/testing-testing-123", "kernel_id": "45672"}, {"ref": "chandrasen/testing", "kernel_id": "46261"}, {"ref": "howlingguineapig/notebook-47afb95a6441a5c49520", "kernel_id": "41488"}, {"ref": "pritipatra/genetic-programming-1", "kernel_id": "44596"}, {"ref": "jumenta/notebook-72e6496d09cab211503b", "kernel_id": "40210"}, {"ref": "jumenta/getting-started", "kernel_id": "39338"}, {"ref": "jaredcross/getting-started", "kernel_id": "38713"}, {"ref": "jaredcross/log5-logistic-regression-and-bradley-te", "kernel_id": "40269"}, {"ref": "jaredcross/getting-started-and-checking-results", "kernel_id": "44096"}, {"ref": "jaredcross/predicting-point-differentials", "kernel_id": "43292"}, {"ref": "jaredcross/beating-seed-benchmark-without-leakage", "kernel_id": "44258"}, {"ref": "sushize/gm01-ssz", "kernel_id": "47148"}, {"ref": "sushize/gm01-ssz-train-2649", "kernel_id": "47149"}, {"ref": "frederocks/notebook-900831a3577cbf84a37e", "kernel_id": "46623"}, {"ref": "frederocks/predictions-vs-actual-visualization", "kernel_id": "46621"}, {"ref": "gamechanger/sweet16-matchups", "kernel_id": "48712"}, {"ref": "chrisfonville/notebook-3d97ef5cb6b965a7b5b5", "kernel_id": "39201"}, {"ref": "bobwothe/notebook-f3f5f5c779c7dee04f1b", "kernel_id": "39624"}, {"ref": "danielcljc/notebook-ce701ee3e14442f90952", "kernel_id": "46459"}, {"ref": "drewarnold1/notebook-b5a6ce2de7b9198dc1d3", "kernel_id": "39430"}, {"ref": "stefanjwojcik/notebook-f216d9c1e287e3259dd7", "kernel_id": "40058"}, {"ref": "krishna051295/vaiks-ncaa", "kernel_id": "38481"}, {"ref": "jamesdvance/march-madness-model-building-ntbk", "kernel_id": "47409"}, {"ref": "jamesdvance/accuracy-calculator", "kernel_id": "47410"}, {"ref": "jamesdvance/kaggle-mm-ensemble-submission-ntbk", "kernel_id": "47411"}, {"ref": "jamesdvance/march-madness-submission-and-tourney-sim", "kernel_id": "47412"}, {"ref": "jamesdvance/march-madness-model-building", "kernel_id": "47405"}, {"ref": "franckess/notebook-fa1d2502ba55c9dc1503", "kernel_id": "39295"}, {"ref": "mbenkhemis/notebook-b143c97e3d5696c4cbdc", "kernel_id": "38355"}, {"ref": "mbenkhemis/notebook-f944f14b284717eea1df", "kernel_id": "38360"}, {"ref": "namra42/notebook-1f72a852ee63c53249b8", "kernel_id": "40315"}, {"ref": "sujeeth/xgboost-modify", "kernel_id": "39497"}, {"ref": "samrotashoka/notebook-d7eeaeec2330bd37213b", "kernel_id": "45756"}, {"ref": "akashtandon/match-combinations", "kernel_id": "40724"}, {"ref": "akashtandon/notebook-ba67bfbfc9697c009a72", "kernel_id": "40725"}, {"ref": "hommesolaire/notebook-b40aae1be649f374c8dd", "kernel_id": "43615"}, {"ref": "hughsoong/python-getting-started", "kernel_id": "46747"}, {"ref": "nelsondinh/genetic-programming-1", "kernel_id": "44304"}, {"ref": "yosuke/notebook-0375a7558bb42fbba813", "kernel_id": "45558"}, {"ref": "joaopcoelho/notebook-9a02554de1cea1c2973a", "kernel_id": "38276"}, {"ref": "krishpop/notebook-4bc4ad9ff82e1ea9b9c9", "kernel_id": "44496"}, {"ref": "krishpop/ncaa-overview", "kernel_id": "44497"}, {"ref": "krishpop/notebook-316e8bcd35ef92ea491a", "kernel_id": "44486"}, {"ref": "krishpop/ncaam-exploratory-analysis", "kernel_id": "44487"}, {"ref": "krishpop/notebook-9def2dacb12c22aaa727", "kernel_id": "47219"}, {"ref": "krishpop/notebook-cb26840949334bdaf105", "kernel_id": "47220"}, {"ref": "krishpop/notebook-5d589e10cb603dfe3364", "kernel_id": "47215"}, {"ref": "krishpop/notebook-a8af5ba8394860f8a28d", "kernel_id": "47204"}, {"ref": "krishpop/notebook-50361adb005eb6ef1e46", "kernel_id": "47020"}, {"ref": "krishpop/notebook-00a0f9e764769dfbe245", "kernel_id": "47308"}, {"ref": "krishpop/notebook-6c5e7e660679f05ae1aa", "kernel_id": "47401"}, {"ref": "krishpop/notebook-b6577d3f577cccc41c49", "kernel_id": "47759"}, {"ref": "bikasha/mlmmlm", "kernel_id": "46232"}, {"ref": "bikasha/notebook-60182c6236e95714163b", "kernel_id": "46345"}, {"ref": "scirpus/genetic-programming-1", "kernel_id": "43420"}, {"ref": "ssharpe/notebook-1275c2a7f1791893841b", "kernel_id": "48125"}, {"ref": "ssharpe/notebook-f83f468f7ddc9f61701a", "kernel_id": "38755"}, {"ref": "kmeelu/notebook-6cc5d9be1cdabdd08430", "kernel_id": "43268"}, {"ref": "kmeelu/notebook-29e9f60562039d34f7a9", "kernel_id": "44526"}, {"ref": "shchao53/mlmmlm", "kernel_id": "46216"}, {"ref": "evgenyeltyshev/genetic-programming", "kernel_id": "43738"}, {"ref": "evgenyeltyshev/test-script-2", "kernel_id": "45115"}, {"ref": "evgenyeltyshev/genetic-programming-1", "kernel_id": "44259"}, {"ref": "niallom77/predictions-vs-actual-visualization", "kernel_id": "50283"}, {"ref": "andirey/notebook-2570135afd6b087024b2", "kernel_id": "41597"}, {"ref": "maddula/notebook-1a189cb3d50cd2e260ea", "kernel_id": "47133"}, {"ref": "ryutek/elo-rating-try", "kernel_id": "39011"}, {"ref": "jaycordes/notebook-114f57f0b4e27cd2f82a", "kernel_id": "42949"}, {"ref": "signochastic/genetic-programming-try", "kernel_id": "44364"}, {"ref": "signochastic/ncaam-exploratory-analysis", "kernel_id": "44365"}, {"ref": "signochastic/genetic-programming", "kernel_id": "44921"}, {"ref": "signochastic/elo-rating", "kernel_id": "38947"}, {"ref": "signochastic/elo-rating-try", "kernel_id": "38951"}, {"ref": "signochastic/elo-try", "kernel_id": "39229"}, {"ref": "signochastic/elorating-try", "kernel_id": "39320"}, {"ref": "storyteller/notebook-37f88e2b235cb1b32fe5", "kernel_id": "39237"}, {"ref": "storyteller/notebook-541a1a565349fe68980e", "kernel_id": "39238"}, {"ref": "zhugds/test-script-2-2", "kernel_id": "38298"}, {"ref": "trcook/testing-scripts", "kernel_id": "47193"}, {"ref": "mkfrl09/ncaam-exploratory-analysis", "kernel_id": "46710"}, {"ref": "vk4arm/notebook-5ee4c26685394819c65a", "kernel_id": "46210"}, {"ref": "vk4arm/extreeee", "kernel_id": "46205"}, {"ref": "ypargaien/winner-by-seed", "kernel_id": "39251"}, {"ref": "thodime/mlmmania", "kernel_id": "48192"}, {"ref": "thodime/mlmmlm", "kernel_id": "46204"}, {"ref": "dkozyr/elo-rating", "kernel_id": "38875"}, {"ref": "scottdbl/ncaam-exploratory-analysis", "kernel_id": "47296"}, {"ref": "jakethompson/notebook-48537a80a75204dd274d", "kernel_id": "46644"}, {"ref": "guillaumecherel/notebook-461e74f4bdc2c95a6191", "kernel_id": "40875"}, {"ref": "jramjagadeesh/test-run1st", "kernel_id": "38812"}, {"ref": "datasj/mml16", "kernel_id": "46813"}, {"ref": "datasj/tryelo", "kernel_id": "41430"}, {"ref": "nichunquan/notebook-efc0aba347ab133f0556", "kernel_id": "40633"}, {"ref": "nichunquan/notebook-dc5fcefdd915d8289f66", "kernel_id": "40634"}, {"ref": "refine/notebook-189376e46d6576ead745", "kernel_id": "44734"}, {"ref": "khaledfayed/try-again", "kernel_id": "46268"}, {"ref": "khaledfayed/elo-rating-try", "kernel_id": "39141"}, {"ref": "felipemacias/notebook-b0424bb8b1151b43fc6b", "kernel_id": "45983"}, {"ref": "abolfazl/notebook-96570f2bbe92cd39dc9e", "kernel_id": "39303"}, {"ref": "abolfazl/notebook-fbd3e3f81ad2deb902e0", "kernel_id": "46500"}, {"ref": "zackshi/ncaam-exploratory-analysis", "kernel_id": "41301"}, {"ref": "zackshi/notebook-c894e4ffb79f9e55240e", "kernel_id": "42995"}, {"ref": "zackshi/notebook-20d8915c9e1980deb873", "kernel_id": "42969"}, {"ref": "pthapali/testv1", "kernel_id": "38379"}, {"ref": "mujtabaasif/geneticalgo", "kernel_id": "45828"}, {"ref": "mujtabaasif/pso-ga", "kernel_id": "45870"}, {"ref": "mujtabaasif/elotry", "kernel_id": "46952"}, {"ref": "mujtabaasif/neuralnet", "kernel_id": "46936"}, {"ref": "dingler/summarize-by-season", "kernel_id": "40421"}, {"ref": "sanary/predictions-vs-actual-visualization", "kernel_id": "47063"}, {"ref": "sanary/getting-started", "kernel_id": "40282"}, {"ref": "dutdeng/notebook-cc95054e26cf3271c639", "kernel_id": "38818"}, {"ref": "dutdeng/test-1", "kernel_id": "38819"}, {"ref": "rajdeltarobo/mmlmml", "kernel_id": "46211"}, {"ref": "superman8218/notebook-e463ec2267167a7a14f2", "kernel_id": "39124"}, {"ref": "rockyzhang/notebook-90721544774876bdc0e9", "kernel_id": "73255"}, {"ref": "udaraks/notebook-2f0626ac11467f8897c9", "kernel_id": "38747"}, {"ref": "alexlzzz/mlmmlm", "kernel_id": "46524"}, {"ref": "alexlzzz/elo-rating-try", "kernel_id": "46709"}, {"ref": "petezhanghan/notebook-00c299eea08e120c77dd", "kernel_id": "66455"}, {"ref": "rajthilakm/notebook-99b86b6db2814fcca9ff", "kernel_id": "44281"}, {"ref": "kbartol/notebook-db2e4a8b147cc7b4e545", "kernel_id": "44248"}, {"ref": "freeser/notebook-fd307f572f0a54f8fffc", "kernel_id": "45805"}, {"ref": "freeser/notebook-1b1721c38c54f2fb288e", "kernel_id": "45697"}, {"ref": "freeser/notebook-b579422b2b4bba8adf9c", "kernel_id": "47340"}, {"ref": "evbettor/notebook-217710597b7a3a0c56fa", "kernel_id": "38228"}, {"ref": "prayalankar/extree", "kernel_id": "46107"}, {"ref": "broome/notebook-e67ea24f3074d89c4da0", "kernel_id": "39204"}, {"ref": "broome/notebook-bea44c826934532be107", "kernel_id": "39207"}, {"ref": "broome/notebook-33d3a8e35b2943b22eed", "kernel_id": "39209"}, {"ref": "broome/summarize-by-season", "kernel_id": "39901"}, {"ref": "salzburry/notebook-63c42c02d198aa0dce8f", "kernel_id": "40215"}, {"ref": "lavanyasekaran/notebook-9b09c44920d6e4457d8d", "kernel_id": "44332"}, {"ref": "fhlgood/notebook-c96e0e3d4f5525bfb60e", "kernel_id": "39617"}, {"ref": "raddar/seed-benchmark", "kernel_id": "38363"}, {"ref": "raddar/xgboost-regular-season-averages", "kernel_id": "38370"}, {"ref": "tunguz/test-script-2-1", "kernel_id": "44890"}, {"ref": "tunguz/test-script-3", "kernel_id": "45657"}, {"ref": "tunguz/mlmmlm", "kernel_id": "46217"}, {"ref": "tunguz/seed-benchmark", "kernel_id": "38756"}, {"ref": "tunguz/notebook-2ca751b2f0813c3e2fc3", "kernel_id": "39098"}, {"ref": "mikelam/notebook-d32969af2ef6251853e2", "kernel_id": "39759"}, {"ref": "michaelfan/notebook-089b9c83136737dc9ae1", "kernel_id": "43172"}, {"ref": "michaelfan/extreeeeeeeeee", "kernel_id": "45985"}, {"ref": "michaelfan/extree", "kernel_id": "45924"}, {"ref": "michaelfan/i-don-t-know", "kernel_id": "46057"}, {"ref": "michaelfan/i-know-it", "kernel_id": "46058"}, {"ref": "michaelfan/try-again", "kernel_id": "43526"}, {"ref": "zty9030/notebook-df2f41c1089c42d1b0a4", "kernel_id": "48666"}, {"ref": "diwaiyer/notebook-fedea0cebbc48b5af5c0", "kernel_id": "47038"}, {"ref": "johnmallick/notebook-b212b6e59bff8cabff07", "kernel_id": "46413"}, {"ref": "nstellitano/notebook-fd14ae40e2c3f86d6afa", "kernel_id": "40075"}, {"ref": "yoonespi/notebook-f520fa67b245ab86fb12", "kernel_id": "52266"}, {"ref": "paulschnau/winner-by-seed", "kernel_id": "40391"}, {"ref": "alexbird99/notebook-b8a80160964bd0d136b1", "kernel_id": "45433"}, {"ref": "bklawonn/notebook-8c9e4505116ef6055e6b", "kernel_id": "45979"}, {"ref": "raym26/final-four-observations", "kernel_id": "41661"}, {"ref": "raym26/my-bracket", "kernel_id": "50578"}, {"ref": "mlfurman/summarize-by-season", "kernel_id": "165174"}, {"ref": "zhuweirenqq/notebook-295bfeec827185db39b7", "kernel_id": "42776"}, {"ref": "animesh371/notebook-119671c5ced7e8ae7337", "kernel_id": "42705"}, {"ref": "animesh371/basketball-script-py", "kernel_id": "42706"}, {"ref": "yananwu/notebook-215dc9d7048d25d7e6fa", "kernel_id": "43101"}, {"ref": "bronyesz/notebook-d6dc84c59e04eac95d52", "kernel_id": "44057"}, {"ref": "katsunoriohnishi/notebook-7eea9d6f8bf9aaf5750e", "kernel_id": "38631"}, {"ref": "jdawg22/predictions-vs-actual-visualization", "kernel_id": "46557"}, {"ref": "c4chanha/notebook-accc0c238f8b6a6cff1a", "kernel_id": "50350"}, {"ref": "mayhill40/notebook-b1efafcf483b429eec27", "kernel_id": "44667"}, {"ref": "mayhill40/test-script", "kernel_id": "44658"}, {"ref": "mayhill40/ncaam-exploratory-analysis", "kernel_id": "47860"}, {"ref": "mayhill40/notebook-21d0858322494dc9a0b2", "kernel_id": "47873"}, {"ref": "mayhill40/notebook-26839194cfbb62a03a9e", "kernel_id": "47827"}, {"ref": "apartmentguru/notebook-1c7ad3bafff9500e58c8", "kernel_id": "76421"}, {"ref": "apartmentguru/notebook-0e5c4825fbd540b75ae1", "kernel_id": "38710"}, {"ref": "afokas08/ncaam-exploratory-analysis", "kernel_id": "40341"}, {"ref": "afokas08/notebook-2682c7f46861da580c55", "kernel_id": "40342"}, {"ref": "xpxiaokr/notebook-da79bf5dd5840c840101", "kernel_id": "39915"}, {"ref": "cmaxwell/notebook-c0c00ee9e03e34c01797", "kernel_id": "39431"}, {"ref": "benjaminstone/notebook-0c7e1c5cb8d2850738fb", "kernel_id": "47747"}, {"ref": "ralston3/ncaam-exploratory-analysis", "kernel_id": "39776"}, {"ref": "ralston3/notebook-d1fdffaea8c3f60f7614", "kernel_id": "39777"}, {"ref": "ralston3/notebook-24be0798a97281063ef0", "kernel_id": "39778"}, {"ref": "patternproject/test-v1-1", "kernel_id": "38328"}, {"ref": "patternproject/notebook-7fb6b86bfeb778bce266", "kernel_id": "38486"}, {"ref": "patternproject/notebook-c99985871c3e8f1ea044", "kernel_id": "38517"}, {"ref": "walterhan/scrape-kenpom-data", "kernel_id": "38924"}, {"ref": "walterhan/notebook-0a48e9b9f2c42da824a0", "kernel_id": "38925"}, {"ref": "dtamayo/ncaam-exploratory-analysis", "kernel_id": "40750"}, {"ref": "dtamayo/notebook-4a428ac651a07f8eb6b0", "kernel_id": "40751"}, {"ref": "dagot32167/notebook-459074e1f8fa53e1bf24", "kernel_id": "51068"}, {"ref": "anokas/extree-optimised", "kernel_id": "45972"}, {"ref": "anokas/extree-without-cheating", "kernel_id": "45976"}, {"ref": "anokas/extree", "kernel_id": "46144"}, {"ref": "anokas/seed-benchmark-optimised", "kernel_id": "38252"}, {"ref": "anokas/xgboost-regular-season-avgs-optimised", "kernel_id": "38387"}, {"ref": "anokas/xgboost-optimised-forest-0-590466", "kernel_id": "38736"}, {"ref": "fabsod/winner-by-seed", "kernel_id": "38443"}, {"ref": "fabsod/notebook-da843f23ba2005c33096", "kernel_id": "38678"}, {"ref": "wanganshu/firsttrial", "kernel_id": "42853"}, {"ref": "ampire/notebook-546b611e83c4bc363e5a", "kernel_id": "40007"}, {"ref": "ampire/notebook-88608a58225144650657", "kernel_id": "40008"}, {"ref": "ampire/notebook-40c4dfb8fcb45d6b68ec", "kernel_id": "40009"}, {"ref": "tong2016/ncaam-exploratory-analysis", "kernel_id": "40592"}, {"ref": "tong2016/notebook-d4e38e9bd0a917005bad", "kernel_id": "40593"}, {"ref": "tong2016/notebook-09cdcb99e510f2db0acb", "kernel_id": "40594"}, {"ref": "tomknig/ncaa-prediction", "kernel_id": "38579"}, {"ref": "pvr2221/notebook-1e7956e4e76952b57620", "kernel_id": "48710"}, {"ref": "ccthompson82/notebook-45de49fbf0d4d0a03dac", "kernel_id": "48018"}, {"ref": "ccthompson82/notebook-622b41857c4145140cc4", "kernel_id": "41260"}, {"ref": "toconnor/version-1", "kernel_id": "38745"}, {"ref": "alvarosg/notebook-2e05750a7168d3b0b011", "kernel_id": "50572"}, {"ref": "alvarosg/notebook-a68a21a35de71fed8b85", "kernel_id": "48424"}, {"ref": "jermmey/ncaa-prediction", "kernel_id": "39794"}, {"ref": "mikedybala/notebook-02aa70f6069c83e16890", "kernel_id": "38303"}, {"ref": "ashish2709/tiodtonstel", "kernel_id": "46670"}, {"ref": "ashish2709/tiodstel", "kernel_id": "46668"}, {"ref": "aneeshk/notebook-160d48f5b4ca89c94d2d", "kernel_id": "38462"}, {"ref": "beachfunk813/notebook-12d9c352c0d45bf83e7e", "kernel_id": "38591"}, {"ref": "beachfunk813/notebook-b47c866070753c32b9f6", "kernel_id": "38563"}, {"ref": "beachfunk813/notebook-8e40fd65a6525f4a5b76", "kernel_id": "40619"}, {"ref": "beachfunk813/notebook-b82fa33701a4d2d868c6", "kernel_id": "40620"}, {"ref": "magic2728/score", "kernel_id": "38679"}, {"ref": "zaidalm319/notebook-723e2d15cc09a7aa5724", "kernel_id": "38775"}, {"ref": "jakezw/notebook-1d37069e37b0308032ca", "kernel_id": "51931"}, {"ref": "keahrens/notebook-1990d8ba16e3056f6180", "kernel_id": "57314"}, {"ref": "srikanthkuthuru/summarize-by-season", "kernel_id": "41402"}, {"ref": "lacuri/notebook-3b685cb8975043f0d5fc", "kernel_id": "40022"}, {"ref": "lacuri/notebook-fbb798009260a9fdd3da", "kernel_id": "40572"}, {"ref": "lacuri/notebook-4f8e6555f3fd84be1a19", "kernel_id": "40218"}, {"ref": "lacuri/notebook-157e271f9ff7d14eb944", "kernel_id": "40219"}, {"ref": "lacuri/notebook-ab6e8669e577626ec3dc", "kernel_id": "40244"}, {"ref": "lacuri/python-getting-started", "kernel_id": "40245"}, {"ref": "lacuri/notebook-b9a82f57786ec9050caf", "kernel_id": "40242"}, {"ref": "lacuri/notebook-058f358319418e415f34", "kernel_id": "40256"}, {"ref": "lacuri/notebook-175184a8c02aa71ca90b", "kernel_id": "40268"}, {"ref": "zyi870701/notebook-f864abba9b875b78a9f5", "kernel_id": "39496"}, {"ref": "courivar/notebook-3807d2eebbfe272f90ba", "kernel_id": "40190"}, {"ref": "courivar/script-qcm", "kernel_id": "47137"}, {"ref": "dkowalsky/notebook-797d9e4393bf1bf42694", "kernel_id": "46508"}, {"ref": "mloveland/notebook-637a88d0315f7e808510", "kernel_id": "39437"}, {"ref": "cookitup/getting-started", "kernel_id": "43940"}, {"ref": "cookitup/script-3", "kernel_id": "45163"}, {"ref": "marikahuins/getting-started", "kernel_id": "43935"}, {"ref": "astr0naut/notebook-7e4a3a3f4cfe2befa636", "kernel_id": "39750"}, {"ref": "astr0naut/notebook-1f0492829fa0072d4263", "kernel_id": "46469"}, {"ref": "ptunuguntla/trail", "kernel_id": "40355"}, {"ref": "arunag50/notebook-2a88e0995b68a0be5427", "kernel_id": "40354"}, {"ref": "jovaisas/test-script-3", "kernel_id": "45769"}, {"ref": "tretelny/notebook-82855eb64e982cc65f67", "kernel_id": "43489"}, {"ref": "tretelny/notebook-b782c6c83f339b48852f", "kernel_id": "43486"}, {"ref": "tretelny/test1", "kernel_id": "43487"}, {"ref": "kpsychas/notebook-52dc125bfc9bcae3691c", "kernel_id": "40816"}, {"ref": "kpsychas/notebook-68d52de081b6d08626de", "kernel_id": "40818"}, {"ref": "dscore/marchmadnessexploration16", "kernel_id": "41371"}, {"ref": "kelamhsoj/bracketchallenge", "kernel_id": "42985"}, {"ref": "joebooth/test2", "kernel_id": "43057"}, {"ref": "joebooth/notebook-e8f135771475720fedba", "kernel_id": "43052"}, {"ref": "ggeorgiev/notebook-f70923a3ccb30e5c3ba2", "kernel_id": "54168"}, {"ref": "mharkus/test1223", "kernel_id": "43524"}, {"ref": "tonosan/notebook-f4f1bcfa7d030a079f90", "kernel_id": "46984"}, {"ref": "scottwylie/notebook-7fc65a6957462390c645", "kernel_id": "45181"}, {"ref": "liuqiankevin/notebook-a395c35730e9f273f838", "kernel_id": "46516"}, {"ref": "liuqiankevin/notebook-7e9bd093068114426dfc", "kernel_id": "46517"}, {"ref": "liuqiankevin/notebook-95722527df942a3eb5a1", "kernel_id": "46522"}, {"ref": "i040723/notebook-88a6474051416ebe6c17", "kernel_id": "44899"}, {"ref": "gwaves/notebook-40a2fed1979a2a9efc47", "kernel_id": "45413"}, {"ref": "joshryan/notebook-1d477dd3da056ecb03ef", "kernel_id": "45158"}, {"ref": "jasonrockphelps/notebook-1bbf878239a320fdb1c1", "kernel_id": "45265"}, {"ref": "rohara171/rohara171", "kernel_id": "46877"}, {"ref": "rohara171/rohara171-march-madness", "kernel_id": "45458"}, {"ref": "dpfhdnxmfld/sasss", "kernel_id": "49641"}, {"ref": "loggods/notebook-399c820788faafd7e995", "kernel_id": "45648"}, {"ref": "itsme302/test-script-9", "kernel_id": "45668"}, {"ref": "itsme302/test-script-2", "kernel_id": "45655"}, {"ref": "itsme302/test-script-3", "kernel_id": "45659"}, {"ref": "itsme302/pso-ga", "kernel_id": "45884"}, {"ref": "itsme302/extree-optimised", "kernel_id": "46012"}, {"ref": "itsme302/extree-optimised2", "kernel_id": "46016"}, {"ref": "estsauver/notebook-f20e1417fa6c6f5acfda", "kernel_id": "46239"}, {"ref": "maiind/maiind1", "kernel_id": "46134"}, {"ref": "maiind/maiind2", "kernel_id": "46135"}, {"ref": "maiind/extreeee", "kernel_id": "46156"}, {"ref": "dewwww/winner-by-seed", "kernel_id": "46344"}, {"ref": "kirankc30/notebook-772b1b5185bf589e5206", "kernel_id": "46252"}, {"ref": "jihyeseo/ncaa-eda", "kernel_id": "958161"}, {"ref": "adamsbq06/notebook-ae737929a644e8a5098a", "kernel_id": "46704"}, {"ref": "adamsbq06/notebook-1def55d9e6d2b92692ec", "kernel_id": "46705"}, {"ref": "zhaochenzhan/notebook-4d1a4324b608b14c3317", "kernel_id": "47194"}, {"ref": "zhaochenzhan/notebook-757a3a6658099cf1c1f9", "kernel_id": "47195"}, {"ref": "rekojtoor/notebook-df260d067bfe757e08ad", "kernel_id": "47218"}, {"ref": "tmthyjames/marchmadness", "kernel_id": "47249"}, {"ref": "tmthyjames/notebook-8433584d773928c76b02", "kernel_id": "47260"}, {"ref": "tmthyjames/notebook-7a92db34324ea59b8478", "kernel_id": "47261"}, {"ref": "alg218/notebook-c220df2b7eb131fcb0a6", "kernel_id": "47319"}, {"ref": "alg218/notebook-931bbeb5f2b9c8496f12", "kernel_id": "47320"}, {"ref": "seanglenn26/notebook-9e2051058ad145fdcdf9", "kernel_id": "47428"}, {"ref": "nidhi2936/notebook-c8c7a03b424d06bc368a", "kernel_id": "51166"}, {"ref": "nidhi2936/notebook-74b39a91bc887ca42cf1", "kernel_id": "51167"}, {"ref": "nidhi2936/notebook-374eda506ea38cc6d1cb", "kernel_id": "51330"}, {"ref": "nidhi2936/notebook-c002fa8f7fdbad271917", "kernel_id": "51331"}, {"ref": "ncorcoran/notebook-78c96d1aa7afbbef05d6", "kernel_id": "60004"}, {"ref": "ncorcoran/ncaam-exploratory-analysis", "kernel_id": "60537"}, {"ref": "ncorcoran/notebook-8f4b804d372c5460dc39", "kernel_id": "60606"}, {"ref": "ncorcoran/notebook-c68cbe40bc0b24616f4d", "kernel_id": "60550"}, {"ref": "farzeen/first-pass-elo", "kernel_id": "57041"}, {"ref": "farzeen/combinedata", "kernel_id": "56775"}, {"ref": "agbs2k8/agbs2k8", "kernel_id": "177338"}, {"ref": "jbates24/marmad17", "kernel_id": "219912"}, {"ref": "er9213/winner-by-seed", "kernel_id": "175066"}, {"ref": "er9213/extree-without-cheating", "kernel_id": "175053"}, {"ref": "michaelrap/notebook8eb38fed04", "kernel_id": "87130"}, {"ref": "michaelrap/notebook9b6821a71b", "kernel_id": "87131"}, {"ref": "michaelrap/notebookd9e81a563d", "kernel_id": "87132"}, {"ref": "michaelrap/notebookcc47a96ba5", "kernel_id": "87137"}, {"ref": "michaelrap/notebookf466b8c07f", "kernel_id": "87138"}, {"ref": "kostij/notebook45700f38e1", "kernel_id": "128916"}, {"ref": "ljfernando/exploratory-analysis-of-marchmadness-data", "kernel_id": "204120"}, {"ref": "fkhalili/notebook0a61353de8", "kernel_id": "108714"}, {"ref": "tylerjaacks/getting-started", "kernel_id": "212079"}, {"ref": "eyerene14/notebook1fbdd93f4e", "kernel_id": "214086"}, {"ref": "eyerene14/notebookc653723c7c", "kernel_id": "214090"}, {"ref": "midouuu/notebook98a56fc905", "kernel_id": "246897"}, {"ref": "midouuu/midou-test", "kernel_id": "246900"}, {"ref": "midouuu/data-mining-mmn", "kernel_id": "246962"}, {"ref": "jjkinger/notebookb4e5d5e565", "kernel_id": "217957"}, {"ref": "nacereddine/nasro", "kernel_id": "246910"}, {"ref": "santhiyar/day-26", "kernel_id": "20238036"}]}
{"competition_id": "4879", "kernels": []}
{"competition_id": "4899", "kernels": []}
{"competition_id": "4901", "kernels": []}
{"competition_id": "4916", "kernels": []}
{"competition_id": "4938", "kernels": []}
{"competition_id": "4963", "kernels": []}
{"competition_id": "4973", "kernels": []}
{"competition_id": "4982", "kernels": []}
{"competition_id": "4986", "kernels": [{"ref": "alexxanderlarko/xgb-2604", "kernel_id": "57534"}, {"ref": "alexxanderlarko/to-the-top-v3-tr", "kernel_id": "58032"}, {"ref": "alexxanderlarko/xgb-0704", "kernel_id": "52305"}, {"ref": "alexxanderlarko/xgb-0504l", "kernel_id": "51810"}, {"ref": "alexxanderlarko/xgb-0504v1", "kernel_id": "51794"}, {"ref": "alexxanderlarko/xgb-0404v1", "kernel_id": "51524"}, {"ref": "alexxanderlarko/xgb-0404v2", "kernel_id": "51536"}, {"ref": "alexxanderlarko/xgb-0903", "kernel_id": "45318"}, {"ref": "alexxanderlarko/xgb-start0303", "kernel_id": "43823"}, {"ref": "alexxanderlarko/xgb-start0303fd", "kernel_id": "43829"}, {"ref": "alexxanderlarko/xgb-0303nfac", "kernel_id": "43848"}, {"ref": "alexxanderlarko/xgb-0303nfac-fd", "kernel_id": "43850"}, {"ref": "benhamner/execution-test", "kernel_id": "48139"}, {"ref": "nellaivijay/notebook-4d30923dd158a8a81647", "kernel_id": "51345"}, {"ref": "flacomenoide/notebook-493c65235c85422a3097", "kernel_id": "47447"}, {"ref": "chirz8/cjk1404", "kernel_id": "53931"}, {"ref": "wcukierski/testing-123", "kernel_id": "40744"}, {"ref": "brego81/notebook-761eb4a9533e9e5847dc", "kernel_id": "45465"}, {"ref": "jjinking/notebook-1c174b3d8bd07a8117ad", "kernel_id": "49428"}, {"ref": "jjinking/notebook-5834f2d0a483a562bda1", "kernel_id": "49209"}, {"ref": "jjinking/notebook-821d396e1636e1b80cae", "kernel_id": "50136"}, {"ref": "jjinking/notebook-2a8a5131105200a39c83", "kernel_id": "50245"}, {"ref": "jjinking/notebook-6f7eccad9c16fd5f78c4", "kernel_id": "50361"}, {"ref": "jjinking/notebook-a26e062ae4eb6526094a", "kernel_id": "50527"}, {"ref": "jjinking/notebook-0c68eaf9ac65d26103bd", "kernel_id": "50542"}, {"ref": "jjinking/notebook-a42662d242226146300c", "kernel_id": "48792"}, {"ref": "jjinking/basic-tensorflow-model", "kernel_id": "48794"}, {"ref": "dakick/pca-and-k-means", "kernel_id": "59861"}, {"ref": "dakick/notebook-8c9aa0ff8d6382d6de67", "kernel_id": "59870"}, {"ref": "tks0123456789/data-exploration", "kernel_id": "43789"}, {"ref": "gosanjeev/notebook-d3193452ba4de5e187d4", "kernel_id": "53718"}, {"ref": "clinica/starter-r-script-lb-0-840188", "kernel_id": "47993"}, {"ref": "breakfastpirate/santander-starter", "kernel_id": "43939"}, {"ref": "leadbest/nn-ssz-0-8", "kernel_id": "48970"}, {"ref": "philipevans/santander-starter-parameter-tune", "kernel_id": "48458"}, {"ref": "sureshshanmugam/xgboost-with-feature-selection", "kernel_id": "46602"}, {"ref": "sureshshanmugam/xgb-new-version-1", "kernel_id": "49463"}, {"ref": "nit254/notebook-91a4ea00db09de60f230", "kernel_id": "46923"}, {"ref": "nit254/0-84-score-with-36-features-only", "kernel_id": "46924"}, {"ref": "nit254/movefrombenchmark", "kernel_id": "47437"}, {"ref": "gykovacs/list-input", "kernel_id": "49210"}, {"ref": "gykovacs/read-csv-input", "kernel_id": "49215"}, {"ref": "newhighscore/exploring-features", "kernel_id": "52012"}, {"ref": "zhukov/xgboost-starter-script-0-823-on-lb", "kernel_id": "44008"}, {"ref": "beingzy/exploring-features", "kernel_id": "57244"}, {"ref": "anuroop/notebook-7e842a77aea060262e27", "kernel_id": "49353"}, {"ref": "mathurinache/basic-tensorflow-model", "kernel_id": "57561"}, {"ref": "azadnaik/data-exploration", "kernel_id": "45540"}, {"ref": "alexryzhkov/kaggleridemybike-r", "kernel_id": "59015"}, {"ref": "chauhraj/notebook-9a3e56c8b72f88ee2555", "kernel_id": "43825"}, {"ref": "arunsupe/testsaregood", "kernel_id": "50033"}, {"ref": "jayendran/h2o-variant-1", "kernel_id": "49666"}, {"ref": "mrdata/notebook-ff3d1edabe7cdbde5539", "kernel_id": "48728"}, {"ref": "superback/exploring-features", "kernel_id": "56806"}, {"ref": "spiralarchitect/random-forest", "kernel_id": "56598"}, {"ref": "jofaichow/testing", "kernel_id": "47637"}, {"ref": "jofaichow/testing-h2o", "kernel_id": "47638"}, {"ref": "jofaichow/h2o-gbm-starter", "kernel_id": "47775"}, {"ref": "jofaichow/testing-2", "kernel_id": "48290"}, {"ref": "tomazc/notebook-2ea5b53c9e68b6d305c2", "kernel_id": "49510"}, {"ref": "fuhang/advanced-feature-exploration", "kernel_id": "51714"}, {"ref": "yoonkanglow/exploring-features", "kernel_id": "57836"}, {"ref": "flashnik/to-the-top-v3-3", "kernel_id": "59794"}, {"ref": "ramarlina/notebook-e9abb0e97eb99ebbde15", "kernel_id": "55947"}, {"ref": "beardeer/advanced-feature-exploration", "kernel_id": "51949"}, {"ref": "beardeer/notebook-3589c518a496d219b339", "kernel_id": "51951"}, {"ref": "piplimoon/notebook-0cf0ede7c2b8d5e701cf", "kernel_id": "61629"}, {"ref": "yinsong/notebook-8b1cd95a53db2293ef4c", "kernel_id": "47050"}, {"ref": "yinsong/notebook-71aa0ed653d87e0f42fb", "kernel_id": "47115"}, {"ref": "liderchang/to-the-top-v3", "kernel_id": "58258"}, {"ref": "chisu1/test-py", "kernel_id": "46460"}, {"ref": "manu74/notebook-2310e38cc5473c02f738", "kernel_id": "50288"}, {"ref": "earino/notebook-68f7c721d6b3d03f3201", "kernel_id": "45767"}, {"ref": "earino/lb-0-84-for-starters", "kernel_id": "45768"}, {"ref": "rilesdg3/notebook-08a04be32c8612f32880", "kernel_id": "47086"}, {"ref": "andrewmccall/exploring-features", "kernel_id": "58763"}, {"ref": "jhaehnle/notebook-e0162d47809a2017918d", "kernel_id": "47212"}, {"ref": "jhaehnle/notebook-3f5c8d2bc57a182ed9ec", "kernel_id": "47213"}, {"ref": "jhaehnle/just-a-test", "kernel_id": "47214"}, {"ref": "efranco/notebook-c8dabcd02246616d6eee", "kernel_id": "49736"}, {"ref": "giorgiop2it/test1", "kernel_id": "50179"}, {"ref": "giorgiop2it/test2", "kernel_id": "50180"}, {"ref": "giorgiop2it/notebookf73b2268df", "kernel_id": "238070"}, {"ref": "vajira/exploring-features", "kernel_id": "57923"}, {"ref": "vajira/feature-ranges", "kernel_id": "58697"}, {"ref": "warvonzevon/notebook-16f89cc2acce57d6db0f", "kernel_id": "56325"}, {"ref": "kumareshd/lb-0-84-for-starters", "kernel_id": "45654"}, {"ref": "kumareshd/forked-script", "kernel_id": "52959"}, {"ref": "kumareshd/forked-script-asfd", "kernel_id": "52960"}, {"ref": "kumareshd/notebook-2053d6f7c210bb767799", "kernel_id": "52964"}, {"ref": "kumareshd/people-with-loans-never-complain", "kernel_id": "57508"}, {"ref": "tokukawa/notebook-479322f52aaba8a4faf0", "kernel_id": "49244"}, {"ref": "inversion/pca-visualization", "kernel_id": "44956"}, {"ref": "inversion/pls-visualization-2", "kernel_id": "44967"}, {"ref": "nishkgp/advanced-feature-exploration", "kernel_id": "56214"}, {"ref": "nishkgp/3-way", "kernel_id": "56246"}, {"ref": "nishkgp/xgb-lalala", "kernel_id": "53473"}, {"ref": "vykhand/notebook-77f0c4c4370b4dac4050", "kernel_id": "56687"}, {"ref": "vykhand/exploring-features", "kernel_id": "56667"}, {"ref": "vykhand/nothing-special", "kernel_id": "57857"}, {"ref": "vykhand/notebook-12d16245c4dbfc9582e5", "kernel_id": "59455"}, {"ref": "vykhand/notebook-dd9d000f49a4cce117f0", "kernel_id": "59456"}, {"ref": "vykhand/pca-and-k-means", "kernel_id": "59444"}, {"ref": "hurlburt/morexgbtes", "kernel_id": "59090"}, {"ref": "hurlburt/xgb-test", "kernel_id": "58832"}, {"ref": "kcbighuge/santander-customer-satisfaction-eda", "kernel_id": "940171"}, {"ref": "kcbighuge/santander-customer-satisfaction-with-xgboost", "kernel_id": "939680"}, {"ref": "bigning/notebook-2dcdb16e9947a421e8c7", "kernel_id": "44082"}, {"ref": "gparameswaran/notebook-9adb75dd3cdd78f6f70f", "kernel_id": "44513"}, {"ref": "gparameswaran/foobar", "kernel_id": "44519"}, {"ref": "gparameswaran/notebook-5afc0b44a576192e86be", "kernel_id": "44691"}, {"ref": "clustifier/to-the-top", "kernel_id": "57610"}, {"ref": "clustifier/notebook-dcf814cf1e4974f67a51", "kernel_id": "57918"}, {"ref": "verenich/notebook-9bc6b175a3dbf3d6a0de", "kernel_id": "57064"}, {"ref": "verenich/xgboost-with-feature-engineering", "kernel_id": "57065"}, {"ref": "shupper/notebook-563c3d5310f133fde1c6", "kernel_id": "52440"}, {"ref": "rkarato/notebook-1e8b377bb5f620a9fe5c", "kernel_id": "47314"}, {"ref": "magdalenawojcik/exploring-features", "kernel_id": "56555"}, {"ref": "magdalenawojcik/notebook-2899b63dd6180f111763", "kernel_id": "56556"}, {"ref": "maslopo/notebook-bc9fe2ed0347b46ac9d5", "kernel_id": "51869"}, {"ref": "pvsl531/basic-feature-exploration", "kernel_id": "56223"}, {"ref": "sitesharyan/notebook-e52f5b00e9cd28873366", "kernel_id": "57690"}, {"ref": "sitesharyan/notebook-72c94888f208c5974e27", "kernel_id": "57691"}, {"ref": "sitesharyan/notebook-e72e27584bf99251af67", "kernel_id": "57698"}, {"ref": "sitesharyan/exploring-features", "kernel_id": "57661"}, {"ref": "sitesharyan/notebook-31f033423d498ac89e84", "kernel_id": "57665"}, {"ref": "sitesharyan/test-santander", "kernel_id": "57666"}, {"ref": "sitesharyan/notebook-a88bea22d804bc32ef5d", "kernel_id": "57680"}, {"ref": "sitesharyan/notebook-72535a432865b81fec53", "kernel_id": "57681"}, {"ref": "sitesharyan/test-2", "kernel_id": "57682"}, {"ref": "sitesharyan/notebook-4dccc01475fc21dcbf47", "kernel_id": "57709"}, {"ref": "sitesharyan/notebook-732e95877805176e386e", "kernel_id": "57718"}, {"ref": "sitesharyan/notebook-1c05ab79fb0eff712f4a", "kernel_id": "57719"}, {"ref": "kobakhit/0-84-score-with-36-features-only", "kernel_id": "46646"}, {"ref": "waitbutwhy/similar-variable-groupings", "kernel_id": "54893"}, {"ref": "bakiev/notebook-4a5bbe5db47cac3a605d", "kernel_id": "46408"}, {"ref": "bakiev/lb-0-84-for-starters", "kernel_id": "46409"}, {"ref": "bakiev/copyy", "kernel_id": "49203"}, {"ref": "bakiev/getting-into-the-r-revolution-action", "kernel_id": "57920"}, {"ref": "bakiev/blah-blah", "kernel_id": "59632"}, {"ref": "aakansh9/people-with-loans-no-test-var-limit", "kernel_id": "58669"}, {"ref": "aakansh9/people-with-loans-never-complain", "kernel_id": "57105"}, {"ref": "cast42/draw-folds", "kernel_id": "53834"}, {"ref": "cast42/dt-for-var15-var38-saldo-var30-and-n0", "kernel_id": "54159"}, {"ref": "cast42/cv-xgboost-2", "kernel_id": "54037"}, {"ref": "cast42/xgboost-with-gridsearchcv-and-n0", "kernel_id": "54746"}, {"ref": "cast42/xgboost-cv-rfecv-features", "kernel_id": "53650"}, {"ref": "cast42/t-sne-manifold-visualisation", "kernel_id": "54865"}, {"ref": "cast42/correlation-pairs", "kernel_id": "54801"}, {"ref": "cast42/roc-curve-with-random-forest", "kernel_id": "55190"}, {"ref": "cast42/random-forest-crval", "kernel_id": "55492"}, {"ref": "cast42/xgboost-cv-3", "kernel_id": "56912"}, {"ref": "cast42/cv-xgboost-geometric-mean", "kernel_id": "56735"}, {"ref": "cast42/xgb-for-features-selection-0-837", "kernel_id": "56752"}, {"ref": "cast42/xgboost-parameter-tuning-with-gridcv", "kernel_id": "49310"}, {"ref": "cast42/xg-cv", "kernel_id": "49466"}, {"ref": "cast42/dimensionality-reduced-dataset", "kernel_id": "49728"}, {"ref": "cast42/0-68-subsample-571", "kernel_id": "50155"}, {"ref": "cast42/calibratedcv-xgboost", "kernel_id": "49905"}, {"ref": "cast42/basic-feature-exploration", "kernel_id": "50470"}, {"ref": "cast42/binning-var15-age", "kernel_id": "50760"}, {"ref": "cast42/select-features-rfecv", "kernel_id": "47300"}, {"ref": "cast42/select-features-with-chi2-f-classif", "kernel_id": "47182"}, {"ref": "cast42/select-features-with-randomizedlogisticr", "kernel_id": "47694"}, {"ref": "cast42/notebook-255102defd75fec32a3b", "kernel_id": "48825"}, {"ref": "cast42/exploring-features", "kernel_id": "48006"}, {"ref": "cast42/blending-2xrf-2xet-xgb", "kernel_id": "46433"}, {"ref": "cast42/blend-2xrf-2xet-gb", "kernel_id": "46381"}, {"ref": "cast42/xgboost-after-feature-pruning", "kernel_id": "46093"}, {"ref": "cast42/debugging-1", "kernel_id": "45169"}, {"ref": "cast42/notebook-277745cb5035578151c3", "kernel_id": "45947"}, {"ref": "cast42/debugging-var3-999999", "kernel_id": "45948"}, {"ref": "cast42/2x-xgboost-ensembling", "kernel_id": "45681"}, {"ref": "cast42/2x-xgboost-rf-ensembling", "kernel_id": "45733"}, {"ref": "cast42/notebook-56471ce9cc15f5560faf", "kernel_id": "44602"}, {"ref": "cast42/xgboost-after-removal-columns-std-0", "kernel_id": "44352"}, {"ref": "cast42/xgboost-with-early-stopping", "kernel_id": "44357"}, {"ref": "cast42/notebook-2a9178b6e5419e73e4ac", "kernel_id": "44232"}, {"ref": "cast42/notebook-d0ca6145e25f7882424b", "kernel_id": "44895"}, {"ref": "cast42/xgboost-with-early-stopping-stratify", "kernel_id": "44639"}, {"ref": "cast42/random-forest", "kernel_id": "44650"}, {"ref": "cast42/random-forest-cv", "kernel_id": "44736"}, {"ref": "cast42/notebook-f32f4799f982377371f8", "kernel_id": "44882"}, {"ref": "amalgupta/data-exploration", "kernel_id": "47113"}, {"ref": "amalgupta/notebook-6a001cbc2291498e2232", "kernel_id": "47114"}, {"ref": "yg46820/notebook-f60173623c6d4c8d887c", "kernel_id": "56124"}, {"ref": "yg46820/11234561", "kernel_id": "56144"}, {"ref": "yg46820/eda123", "kernel_id": "56012"}, {"ref": "yg46820/notebook-f80945c46e0b3f77609b", "kernel_id": "56014"}, {"ref": "yg46820/1123456", "kernel_id": "56015"}, {"ref": "yg46820/exploring-features", "kernel_id": "55882"}, {"ref": "yarmolau/3004nonum4script0-r", "kernel_id": "59664"}, {"ref": "timleathart/exploring-features", "kernel_id": "53430"}, {"ref": "timleathart/notebook-c5fb102c4ea98228ca1e", "kernel_id": "53431"}, {"ref": "ofdomejean/model-and-feature-selection-with-python", "kernel_id": "54090"}, {"ref": "ofdomejean/alfa001", "kernel_id": "56613"}, {"ref": "ofdomejean/to-the-top-v3", "kernel_id": "58355"}, {"ref": "zhuangh/notebook-6f26f3c7ebf1b3a7b0a4", "kernel_id": "51738"}, {"ref": "zhuangh/santander-hz", "kernel_id": "51740"}, {"ref": "dsoreo/data-analysis", "kernel_id": "43787"}, {"ref": "tektonik/xgb-r", "kernel_id": "56039"}, {"ref": "fuxinyi/notebook-4556d93421bb4d0e4517", "kernel_id": "53761"}, {"ref": "kailex/h2o-autoencoder-1", "kernel_id": "45208"}, {"ref": "mrooijer/demo-for-balanced-overlapping-7-fold-cv", "kernel_id": "47939"}, {"ref": "deeper/combination", "kernel_id": "57829"}, {"ref": "skrishnan602/exploring-features", "kernel_id": "55260"}, {"ref": "skrishnan602/notebook-7b47d6e882e4e50d69c6", "kernel_id": "55495"}, {"ref": "jeroenjanssens/notebook-2cb3c049389af4f4fffa", "kernel_id": "45679"}, {"ref": "tejpratap/test-script", "kernel_id": "50363"}, {"ref": "tejpratap/test-3-1", "kernel_id": "50968"}, {"ref": "tejpratap/lb-0-84-for-starters", "kernel_id": "50959"}, {"ref": "tejpratap/test-1", "kernel_id": "50960"}, {"ref": "cronopio/model-and-feature-selection-with-python", "kernel_id": "47808"}, {"ref": "tommontroy/0-69-subsample", "kernel_id": "49886"}, {"ref": "nbowon/svm-test", "kernel_id": "49429"}, {"ref": "nbowon/santander-bank", "kernel_id": "49423"}, {"ref": "lrmeulman/variable-plots", "kernel_id": "44398"}, {"ref": "lrmeulman/notebook-60cade4a12209b10e885", "kernel_id": "44400"}, {"ref": "lrmeulman/quick-explore", "kernel_id": "44654"}, {"ref": "amindh/exploring-features", "kernel_id": "62239"}, {"ref": "nooreen/notebook-8531652edd0eac30d770", "kernel_id": "58801"}, {"ref": "nooreen/notebook-a0d41d76a12918bbd262", "kernel_id": "58930"}, {"ref": "nooreen/notebook-1702ba3a84554817d399", "kernel_id": "58933"}, {"ref": "nooreen/notebook-09d8cbc30f68398c2205", "kernel_id": "45638"}, {"ref": "nooreen/combination-fork", "kernel_id": "57834"}, {"ref": "nooreen/notebook-d3a2f5da5f6aeefd9e00", "kernel_id": "57510"}, {"ref": "nooreen/basic-tensorflow-model", "kernel_id": "57497"}, {"ref": "nooreen/exploring-features", "kernel_id": "56196"}, {"ref": "nooreen/notebook-e878bd778a6289c9453c", "kernel_id": "56316"}, {"ref": "nooreen/model-and-feature-selection-with-python", "kernel_id": "56313"}, {"ref": "nooreen/notebook-c42b65780006309c4e2c", "kernel_id": "56307"}, {"ref": "nooreen/santander-data-exploration", "kernel_id": "56303"}, {"ref": "jgc31416/exploring-features", "kernel_id": "58043"}, {"ref": "primaryobjects/notebook31caa67203", "kernel_id": "91679"}, {"ref": "jobyschaffer/notebook-10bfff6a32b518a528fc", "kernel_id": "44108"}, {"ref": "jobyschaffer/notebook-4e0bac2a2def83c97de3", "kernel_id": "44109"}, {"ref": "lucapolverini/xgb-lalala-cap-lims", "kernel_id": "56679"}, {"ref": "lucapolverini/under-23-year-olds-are-always-happy", "kernel_id": "56935"}, {"ref": "lucapolverini/testmmm", "kernel_id": "59333"}, {"ref": "rinzewind/notebook-1aa7a610971b56d47fa1", "kernel_id": "44705"}, {"ref": "ayushrajsingh/notebook-343ed3b592ac3c95c855", "kernel_id": "52904"}, {"ref": "ayushrajsingh/notebook-53387c963e61255a5dab", "kernel_id": "52902"}, {"ref": "ayushrajsingh/xgb-lalala", "kernel_id": "52384"}, {"ref": "jojheikk/notebook-e94a5a7cf3d7d8844ea9", "kernel_id": "46603"}, {"ref": "nuzhimeyen/notebook-eba38a5eceb57cc5e234", "kernel_id": "45087"}, {"ref": "kmsingh/notebook-ebc57829808c9b2afb9f", "kernel_id": "49091"}, {"ref": "joelhy/santander-xgb", "kernel_id": "56335"}, {"ref": "joelhy/xgb-basic", "kernel_id": "57524"}, {"ref": "datenkieker/notebook-3db225ac3b1f810323f0", "kernel_id": "59337"}, {"ref": "datenkieker/notebook-eeb6f005b732be1e1dc1", "kernel_id": "59266"}, {"ref": "ericcouto/aaaaa", "kernel_id": "43810"}, {"ref": "ericcouto/using-10x-less-ram", "kernel_id": "43812"}, {"ref": "marcinpilarczyk/notebook-04e12b23121dde9d96ca", "kernel_id": "43972"}, {"ref": "dreamhunter/seed20160420", "kernel_id": "56007"}, {"ref": "dreamhunter/arstdhneio2", "kernel_id": "55986"}, {"ref": "mlwhiz/reverse-feature-engineering", "kernel_id": "46810"}, {"ref": "mlwhiz/reverse-feature-engineering2", "kernel_id": "46812"}, {"ref": "pabloarayamelo/notebook-2f63b898716095de66f2", "kernel_id": "53221"}, {"ref": "pabloarayamelo/xgb-lalala", "kernel_id": "53187"}, {"ref": "guanqing/notebook-80617c95aab643804e1d", "kernel_id": "48952"}, {"ref": "guanqing/notebook-b984c59c8a63589051fb", "kernel_id": "47343"}, {"ref": "guanqing/notebook-6c877369bb9a33204260", "kernel_id": "47345"}, {"ref": "brig06/exploring-features", "kernel_id": "57530"}, {"ref": "russianmike/notebook24dfe31d8b", "kernel_id": "142521"}, {"ref": "samuelcyrusmarkson/notebook-5b6b6b3da2b1e947a6ef", "kernel_id": "47708"}, {"ref": "myloginid/notebook-ad7b10ceb30b0bc30200", "kernel_id": "47084"}, {"ref": "myloginid/notebook-6958a5d5ea990a97ca18", "kernel_id": "48459"}, {"ref": "myloginid/notebook-7f5ea04137151fd6dbd9", "kernel_id": "48466"}, {"ref": "myloginid/notebook-afeadb9e2f2a565ef358", "kernel_id": "48467"}, {"ref": "myloginid/notebook-7fea7fa0926d774b5a8d", "kernel_id": "48689"}, {"ref": "anilgupta/exploring-features", "kernel_id": "54796"}, {"ref": "anilgupta/notebook-c8094e4d2741e28741a4", "kernel_id": "54797"}, {"ref": "anilgupta/notebook-455aa4c322d1b085fb62", "kernel_id": "54798"}, {"ref": "avishek/fork-of-feat-exploration", "kernel_id": "194159"}, {"ref": "avishek/notebook-5cfb891703281e646104", "kernel_id": "55150"}, {"ref": "avishek/corr-based-feat-clustering", "kernel_id": "55151"}, {"ref": "avishek/wip-allleaks-landing-doc-dets-conf-lvls14012017", "kernel_id": "55131"}, {"ref": "avishek/train-window", "kernel_id": "57189"}, {"ref": "avishek/revolve-r-p", "kernel_id": "58637"}, {"ref": "avishek/advanced-feature-exploration", "kernel_id": "52570"}, {"ref": "avishek/xgb-lalala", "kernel_id": "51197"}, {"ref": "avishek/xgb-lalala-divide-by-var15", "kernel_id": "54177"}, {"ref": "avishek/notebook-c1d6e3da3d5efa2ce8a7", "kernel_id": "53874"}, {"ref": "avishek/notebook-5ec48189ce335a5c73f0", "kernel_id": "53948"}, {"ref": "avishek/notebook-cb93e3fb22c5021ac712", "kernel_id": "53969"}, {"ref": "avishek/exploring-features", "kernel_id": "53970"}, {"ref": "avishek/notebook-604a5b49b2b601a4e1f5", "kernel_id": "53981"}, {"ref": "avishek/feat-exploration", "kernel_id": "53998"}, {"ref": "avishek/revolve-r-lalala", "kernel_id": "58885"}, {"ref": "avishek/xgb-without-corrections", "kernel_id": "59662"}, {"ref": "abhi19/notebook-daada8f0b66659c32052", "kernel_id": "45192"}, {"ref": "jakublangr/3004nonum4script-r", "kernel_id": "59056"}, {"ref": "jakublangr/random-forest", "kernel_id": "52897"}, {"ref": "srikarappal/notebook-2d6ca01e8d6a35192f7c", "kernel_id": "46407"}, {"ref": "knandula/notebook-89b94310ef8ffe11dc6c", "kernel_id": "48291"}, {"ref": "yuhaichina/notebook-1a95380b9745b73a3eca", "kernel_id": "55520"}, {"ref": "crimeprophet/daven", "kernel_id": "57694"}, {"ref": "anveshu/notebook-4f4164f1803c5f391497", "kernel_id": "45235"}, {"ref": "anveshu/santander", "kernel_id": "45229"}, {"ref": "andreusancho/minor-variation-of-on-to-the-top", "kernel_id": "59233"}, {"ref": "andreusancho/santander-starter", "kernel_id": "45959"}, {"ref": "yiyijiang/notebook-5cf370b58fb3b6f01b42", "kernel_id": "50022"}, {"ref": "juicygranpa/notebook-979ce2f26ee804dbab4d", "kernel_id": "47547"}, {"ref": "juicygranpa/test1hello", "kernel_id": "47548"}, {"ref": "selfishgene/basic-feature-exploration", "kernel_id": "49739"}, {"ref": "selfishgene/advanced-feature-exploration", "kernel_id": "51443"}, {"ref": "seemsz/notebook9adae3d89b", "kernel_id": "121025"}, {"ref": "mrnaught/notebook-6c7721f64323086f8959", "kernel_id": "46769"}, {"ref": "mrnaught/notebook-856ab830b7edfc26df80", "kernel_id": "46770"}, {"ref": "jettyy/xgboost-varibalelimits", "kernel_id": "58580"}, {"ref": "scholih/exploring-features", "kernel_id": "54162"}, {"ref": "scholih/notebook-8347172641de513dea7f", "kernel_id": "54249"}, {"ref": "badend/notebook-b91f916fd69d4d338914", "kernel_id": "46530"}, {"ref": "imcodebreaker/notebook433c9d4125", "kernel_id": "155550"}, {"ref": "longnguyen/r-version", "kernel_id": "58278"}, {"ref": "beiwenwu/notebook-4f9e9fd69b1e707667f5", "kernel_id": "45304"}, {"ref": "beiwenwu/notebook-18a53a221ccf857fb9f9", "kernel_id": "45306"}, {"ref": "beiwenwu/data-explore-and-visual", "kernel_id": "45307"}, {"ref": "sree181/notebook-cd447aa9b9a93c363012", "kernel_id": "47567"}, {"ref": "sree181/notebook-48b01d3199a78fd57de1", "kernel_id": "47568"}, {"ref": "sree181/submission-1", "kernel_id": "47577"}, {"ref": "cherryman/notebook-6c2089395c347931c441", "kernel_id": "52403"}, {"ref": "cherryman/notebook-c3e2a08658b5c6c0030d", "kernel_id": "50985"}, {"ref": "bhushankhandelwal/xgb-simple", "kernel_id": "54084"}, {"ref": "skyjiao/exploring-features", "kernel_id": "57636"}, {"ref": "skyjiao/xgboost-bagging", "kernel_id": "49290"}, {"ref": "skyjiao/simple-blending", "kernel_id": "48953"}, {"ref": "skyjiao/test-script", "kernel_id": "49029"}, {"ref": "skyjiao/preprocess", "kernel_id": "49041"}, {"ref": "skyjiao/gradient-boost-sample", "kernel_id": "48809"}, {"ref": "vchagas/notebook49918ff788", "kernel_id": "98240"}, {"ref": "akashsingh/exploring-features", "kernel_id": "56962"}, {"ref": "akashsingh/notebook-c933f33572ba206932e3", "kernel_id": "56996"}, {"ref": "akashsingh/notebook-456e4862febd6c6d7b9a", "kernel_id": "56997"}, {"ref": "david101/notebook-e9eca5ee3e2d5b1af3f4", "kernel_id": "48764"}, {"ref": "david101/notebook-c165ba6f44a00a833cff", "kernel_id": "48765"}, {"ref": "ezequielaguilar/xgboost-starter-script-0-823-on-lb", "kernel_id": "44637"}, {"ref": "darcy34/exploring-features", "kernel_id": "56376"}, {"ref": "xinyulrsm/notebook-08f0c679899e4e288b53", "kernel_id": "47192"}, {"ref": "xueerchen/notebook-b1b09d49600c3a5bbbb0", "kernel_id": "59922"}, {"ref": "gracetang/notebook-fd32a197b5b78bb3732f", "kernel_id": "56934"}, {"ref": "yifanxie/data-splitting-notebook", "kernel_id": "48679"}, {"ref": "yifanxie/exploring-features", "kernel_id": "56989"}, {"ref": "yifanxie/notebook-d825f81b492fd38c742d", "kernel_id": "52328"}, {"ref": "outliar/notebook-a4ec6706f785a217803b", "kernel_id": "46249"}, {"ref": "brandenkmurray/xgb-lalala", "kernel_id": "51072"}, {"ref": "javiervidal/advanced-feature-exploration", "kernel_id": "51652"}, {"ref": "javiervidal/notebook-bca5f778979c9fef503e", "kernel_id": "51654"}, {"ref": "mukulvirmani/exploring-features", "kernel_id": "134570"}, {"ref": "gopalsharma2001/yet-another", "kernel_id": "59703"}, {"ref": "gopalsharma2001/to-the-top-v3", "kernel_id": "59194"}, {"ref": "gopalsharma2001/just-another", "kernel_id": "59698"}, {"ref": "raghparihar/outlier-analysis", "kernel_id": "53941"}, {"ref": "clarkdjilo/exploring-features", "kernel_id": "100694"}, {"ref": "maneesh5/exploring-features", "kernel_id": "128564"}, {"ref": "evanvanness/testmmm", "kernel_id": "59516"}, {"ref": "evanvanness/3004nonum42script-r", "kernel_id": "58961"}, {"ref": "evanvanness/booom", "kernel_id": "54695"}, {"ref": "evanvanness/to-the-top-v2", "kernel_id": "57946"}, {"ref": "evanvanness/getting-into-the-r-revolution-action", "kernel_id": "57929"}, {"ref": "evanvanness/people-with-loans-never-complai2n", "kernel_id": "57528"}, {"ref": "lantingguo/notebook-f9e3f7d21542d79f34cc", "kernel_id": "43877"}, {"ref": "imanyakhin/notebook-a4ef06e1d340ebeadb23", "kernel_id": "46447"}, {"ref": "red8012/arstdhneio2", "kernel_id": "52600"}, {"ref": "red8012/notebook-866648b1a60bc4460b18", "kernel_id": "43956"}, {"ref": "red8012/0-69-subsample", "kernel_id": "48783"}, {"ref": "red8012/0-68-subsample-571", "kernel_id": "50149"}, {"ref": "red8012/arstdhneio", "kernel_id": "50435"}, {"ref": "bpavlyshenko/notebook-823c4c4ead0bc5883351", "kernel_id": "57933"}, {"ref": "atupis/notebook-2ee74ca874989ff92069", "kernel_id": "47558"}, {"ref": "xauen1980/scripttest11", "kernel_id": "49020"}, {"ref": "xauen1980/scripttest1", "kernel_id": "48853"}, {"ref": "xauen1980/notebook-9a74bdf67137e08c40b9", "kernel_id": "46852"}, {"ref": "xauen1980/first-test", "kernel_id": "46853"}, {"ref": "xauen1980/notebook-f6c88e18762f6ff1dee4", "kernel_id": "46855"}, {"ref": "srodriguex/lb-0-84-for-starters", "kernel_id": "46763"}, {"ref": "srodriguex/xgboost-refinement", "kernel_id": "45890"}, {"ref": "srodriguex/notebook-1c984a0ad21836fa3564", "kernel_id": "45880"}, {"ref": "srodriguex/xgboost-with-python", "kernel_id": "45878"}, {"ref": "srodriguex/notebook-6f80afaa3e8ebdef5823", "kernel_id": "45869"}, {"ref": "srodriguex/notebook-53404af81f11bd1d5d38", "kernel_id": "45661"}, {"ref": "srodriguex/notebook-18cbe0774a5a287ffcb4", "kernel_id": "45680"}, {"ref": "srodriguex/model-and-feature-selection-with-python", "kernel_id": "45630"}, {"ref": "srodriguex/notebook-ab0aacee33fdfcb25ad8", "kernel_id": "44330"}, {"ref": "mohdatir/koba-script", "kernel_id": "55834"}, {"ref": "mohdatir/xgboost-with-early-stopping", "kernel_id": "55412"}, {"ref": "mohdatir/ensemble", "kernel_id": "55482"}, {"ref": "mohdatir/notebook-49d926264c0d06903635", "kernel_id": "57867"}, {"ref": "mohdatir/santander-script", "kernel_id": "57792"}, {"ref": "mohdatir/notebook-6bd3e860cadc46de3e03", "kernel_id": "57956"}, {"ref": "mohdatir/to-the-top-v3", "kernel_id": "58620"}, {"ref": "mohdatir/notebook-20f6211e1fec8fc76f23", "kernel_id": "58593"}, {"ref": "mohdatir/getting-into-the-r-revolution-action", "kernel_id": "58299"}, {"ref": "mohdatir/trial", "kernel_id": "53298"}, {"ref": "mohdatir/trial2", "kernel_id": "53770"}, {"ref": "alsango/notebook-e97ae0eca0b0fbb80e15", "kernel_id": "60286"}, {"ref": "hjsang/notebook-bbaf3033ff2f8ac3acd9", "kernel_id": "52253"}, {"ref": "aarthikumar/xgb-lalala1", "kernel_id": "51679"}, {"ref": "ncbaoyanan/notebook-60faedc97865005dff30", "kernel_id": "46481"}, {"ref": "ming2sun/exploring-features", "kernel_id": "54081"}, {"ref": "ming2sun/notebook-edbd6381ec7fb1ce31f6", "kernel_id": "54082"}, {"ref": "ming2sun/notebook-e5bb97df3d10519778f2", "kernel_id": "54613"}, {"ref": "mrchypark/notebook-6b09e598966916137b40", "kernel_id": "49391"}, {"ref": "sushize/rf-ssz-0-821", "kernel_id": "47697"}, {"ref": "sushize/nn-ssz-0-8", "kernel_id": "47618"}, {"ref": "sushize/svr-ssz", "kernel_id": "47599"}, {"ref": "sushize/nineteen-features-lb0-832", "kernel_id": "47418"}, {"ref": "sushize/btb-ssz01-0-8403", "kernel_id": "47357"}, {"ref": "sushize/xgb-ssz-new", "kernel_id": "48840"}, {"ref": "sushize/xgb-1187-ssz", "kernel_id": "48525"}, {"ref": "sushize/python-xgb-lb-0-841047", "kernel_id": "53660"}, {"ref": "sushize/mlp-try-ssz", "kernel_id": "52075"}, {"ref": "sushize/santander-correlation-predictions", "kernel_id": "52211"}, {"ref": "sushize/advanced-feature-exploration", "kernel_id": "51600"}, {"ref": "sushize/rf-0-814510-btb", "kernel_id": "51498"}, {"ref": "sushize/xgb-0-83-score-with-36-features-only", "kernel_id": "51499"}, {"ref": "sushize/rf-try-ssz", "kernel_id": "51770"}, {"ref": "sushize/xgb-10fea", "kernel_id": "56436"}, {"ref": "sushize/xgb-btb-0-842365", "kernel_id": "58317"}, {"ref": "sushize/simulating-lb", "kernel_id": "58344"}, {"ref": "sushize/xgb-0-842365-train-test", "kernel_id": "58633"}, {"ref": "sushize/generalized-linear-model-ssz-apr27", "kernel_id": "58102"}, {"ref": "sushize/to-the-top-btb-8422", "kernel_id": "57593"}, {"ref": "sushize/people-with-loans-never-complain-fea", "kernel_id": "57235"}, {"ref": "sushize/people-with-loans-never-complain-fea2", "kernel_id": "57419"}, {"ref": "sushize/rf-apr23-01", "kernel_id": "56770"}, {"ref": "sushize/btb-xgb-2529-v3", "kernel_id": "59067"}, {"ref": "sushize/xgb-2752-btb", "kernel_id": "59638"}, {"ref": "sushize/btb-xgb-last", "kernel_id": "59230"}, {"ref": "sushize/btb-xgb-test-2629-noadj", "kernel_id": "59391"}, {"ref": "dfalbel/notebook-89af9a2ab107951bab17", "kernel_id": "44252"}, {"ref": "dfalbel/visualization", "kernel_id": "44253"}, {"ref": "potterxu/notebook-bbc5d0106b8347a6ad44", "kernel_id": "53407"}, {"ref": "understar/advanced-feature-exploration", "kernel_id": "52053"}, {"ref": "ntzortzis/xgb-r", "kernel_id": "54009"}, {"ref": "ntzortzis/aaa124", "kernel_id": "55786"}, {"ref": "ntzortzis/to-the-top", "kernel_id": "57663"}, {"ref": "ntzortzis/test123-5", "kernel_id": "57955"}, {"ref": "ntzortzis/lllll", "kernel_id": "57935"}, {"ref": "marcelvdbosch/notebook-a5ea2e214e3f60ea69da", "kernel_id": "47843"}, {"ref": "ruqiang826/notebook-9272cba91efed0e60bc1", "kernel_id": "62687"}, {"ref": "ruqiang826/notebook-591cd42d85db197bfa2b", "kernel_id": "62688"}, {"ref": "ruqiang826/exploring-features", "kernel_id": "62424"}, {"ref": "ruqiang826/notebook-3599960398c453ad6065", "kernel_id": "62428"}, {"ref": "ruqiang826/notebook-1416785d6409ccad171c", "kernel_id": "62678"}, {"ref": "ruqiang826/notebook-9eaa77bb7ce071be8055", "kernel_id": "62681"}, {"ref": "ruqiang826/notebook-dad48c27eabe5a963f08", "kernel_id": "66470"}, {"ref": "abhishekpriyam/xgb-r-3", "kernel_id": "53956"}, {"ref": "suresubs/notebook-4d95925c62fb026f7002", "kernel_id": "57688"}, {"ref": "jedihoho/santander-xgboost", "kernel_id": "47449"}, {"ref": "jedihoho/notebook-bfae0702d9b438ec5fc0", "kernel_id": "47452"}, {"ref": "hikomimo/notebook-8c2e72740dfb86ff32bb", "kernel_id": "58936"}, {"ref": "lishubin/to-the-top", "kernel_id": "57819"}, {"ref": "lishubin/notebook-14244e26ccc23434e014", "kernel_id": "57821"}, {"ref": "lishubin/getting-into-the-r-revolution-action", "kernel_id": "58514"}, {"ref": "korkinof/blah-blah", "kernel_id": "56511"}, {"ref": "mips88/3004nonum4script-r", "kernel_id": "58979"}, {"ref": "alestainer/exploring-features", "kernel_id": "54171"}, {"ref": "toshik/notebook-293af0667372790b514a", "kernel_id": "56743"}, {"ref": "brianray/exploring-features", "kernel_id": "50506"}, {"ref": "aymans/notebook-09efb897a957ba064cb2", "kernel_id": "50618"}, {"ref": "avitkauskas/notebook-72d65a8e4c171bace75f", "kernel_id": "51224"}, {"ref": "avitkauskas/notebook-8b266c2e2784f56fd3a4", "kernel_id": "51251"}, {"ref": "avitkauskas/try-to-improve", "kernel_id": "51252"}, {"ref": "danijelk/notebook-d0b11700876c9e3cbfb4", "kernel_id": "52811"}, {"ref": "bozhkov/exploring-features", "kernel_id": "56765"}, {"ref": "bozhkov/notebook-c889cb5249866091b734", "kernel_id": "57670"}, {"ref": "bozhkov/notebook-0688ded12d69820fafbd", "kernel_id": "57620"}, {"ref": "bozhkov/explore-data", "kernel_id": "57652"}, {"ref": "ramanand/team-overlord-101", "kernel_id": "57536"}, {"ref": "ramanand/getting-into-the-r-revolution-action", "kernel_id": "58213"}, {"ref": "ramanand/to-the-top-retuned", "kernel_id": "57914"}, {"ref": "valerioorfano/voting-classifier", "kernel_id": "55388"}, {"ref": "valerioorfano/notebook-c9d6eca74c29ca68a233", "kernel_id": "55389"}, {"ref": "valerioorfano/xgb-for-features-selection-0-837", "kernel_id": "56498"}, {"ref": "parin83/notebook-8352f1c7c4a8fcee9d12", "kernel_id": "51082"}, {"ref": "mikkelbom/exploring-features", "kernel_id": "55155"}, {"ref": "mordock/0-834842-reduced-to-100-features", "kernel_id": "50668"}, {"ref": "mordock/santander-exploring-feature", "kernel_id": "50193"}, {"ref": "francbracun/to-the-top-v3", "kernel_id": "58253"}, {"ref": "francbracun/santander-submissi-26-04-2016", "kernel_id": "57648"}, {"ref": "francbracun/xgb-lalala1", "kernel_id": "51453"}, {"ref": "francbracun/xgb-lalala", "kernel_id": "51838"}, {"ref": "francbracun/to-the-top-v5", "kernel_id": "59269"}, {"ref": "amitchoudhary/notebook-a2a976421a48d1613a54", "kernel_id": "58607"}, {"ref": "divakardass/advanced-feature-exploration", "kernel_id": "51932"}, {"ref": "guiemb/data-exploration", "kernel_id": "45676"}, {"ref": "manuelrecio/notebook-9ed2ced34a4d757f341f", "kernel_id": "51438"}, {"ref": "manuelrecio/notebook-200fd5e0872430128aad", "kernel_id": "51400"}, {"ref": "champikagamage/exploring-features", "kernel_id": "55334"}, {"ref": "leotywy/notebook-ea19c55f940051a3ce6b", "kernel_id": "47515"}, {"ref": "trakpantz/santander-investigation", "kernel_id": "44343"}, {"ref": "trakpantz/notebook-1ca51c4bd9661d70133f", "kernel_id": "44345"}, {"ref": "vishen/notebook-48a52d19ea08369e417f", "kernel_id": "47270"}, {"ref": "sivakumard/santander", "kernel_id": "57995"}, {"ref": "dixitgaurav/3004nonum4script0-r", "kernel_id": "59674"}, {"ref": "dixitgaurav/to-the-top-v3", "kernel_id": "58267"}, {"ref": "michaelpawlus/notebook-39edab2fb8fc05a49861", "kernel_id": "59879"}, {"ref": "michaelpawlus/santander-starter-parameter-tune", "kernel_id": "48387"}, {"ref": "michaelpawlus/basic-feature-exploration", "kernel_id": "50571"}, {"ref": "michaelpawlus/exploring-features", "kernel_id": "50432"}, {"ref": "keekiat/notebook-f9a8a857d1f367ddd4bb", "kernel_id": "47037"}, {"ref": "vladimirmilushev/exploring-features", "kernel_id": "55778"}, {"ref": "nicoyan/to-the-top-v3-3", "kernel_id": "59772"}, {"ref": "nicoyan/to-the-top-v3-1", "kernel_id": "59731"}, {"ref": "nicoyan/to-the-top-v3", "kernel_id": "59685"}, {"ref": "haox364/xgb-lalala", "kernel_id": "50865"}, {"ref": "arunguru/notebook-bca6c6ed4b23fba3266f", "kernel_id": "46356"}, {"ref": "arunguru/satandernotebook", "kernel_id": "46325"}, {"ref": "arunguru/notebook-a0ed0c59f5255b5c3313", "kernel_id": "46327"}, {"ref": "arunguru/notebook-60b219433f131536baf8", "kernel_id": "46328"}, {"ref": "arunguru/notebook-e24e20971407f7225da2", "kernel_id": "46331"}, {"ref": "arunguru/notebook-1ae23dfc4206834c9e1a", "kernel_id": "46342"}, {"ref": "majidsaberi/notebook-032dc0e7862640a1bbff", "kernel_id": "48086"}, {"ref": "kbskbs/notebook-8c00c8680e02fda0aa79", "kernel_id": "47010"}, {"ref": "saatetyi/notebook-a199ab22a630313dc154", "kernel_id": "59571"}, {"ref": "saatetyi/to-the-top-v3", "kernel_id": "59572"}, {"ref": "ifleezju/notebook-ebd7b6c3b830db5fb347", "kernel_id": "47263"}, {"ref": "ifleezju/simple-random-forest", "kernel_id": "48688"}, {"ref": "yizhang4/getting-into-the-r-revolution-action", "kernel_id": "58320"}, {"ref": "davidpinto/super-learner-xgboost-random-features", "kernel_id": "46236"}, {"ref": "divyanshusuri/xgb-r-cv-parameters", "kernel_id": "50464"}, {"ref": "divyanshusuri/blending-trees", "kernel_id": "50436"}, {"ref": "divyanshusuri/notebook-72858de5079bdc6e3048", "kernel_id": "50444"}, {"ref": "divyanshusuri/xgb-lalala", "kernel_id": "51833"}, {"ref": "divyanshusuri/xgb-lala", "kernel_id": "52333"}, {"ref": "divyanshusuri/extratrees", "kernel_id": "52527"}, {"ref": "divyanshusuri/tryds", "kernel_id": "56736"}, {"ref": "phuongvo87/notebook-2d7083a0ae01890c6099", "kernel_id": "50100"}, {"ref": "phuongvo87/notebook-6a93a8bb7f8faa7f63ec", "kernel_id": "49183"}, {"ref": "phuongvo87/notebook-152b544b38d78b117d9a", "kernel_id": "49401"}, {"ref": "phuongvo87/notebook-50b72bef81f1f2943921", "kernel_id": "49199"}, {"ref": "phuongvo87/testtest", "kernel_id": "49206"}, {"ref": "phuongvo87/notebook-13438bdbba32c6641de6", "kernel_id": "49190"}, {"ref": "phuongvo87/customer-test1", "kernel_id": "49192"}, {"ref": "phuongvo87/notebook-494c07e06237668b9957", "kernel_id": "49195"}, {"ref": "madjack/crappy", "kernel_id": "48054"}, {"ref": "yansoftware/xgb-r", "kernel_id": "50633"}, {"ref": "yansoftware/notebook-822a8a505138a234da42", "kernel_id": "50639"}, {"ref": "yansoftware/notebook-62bbb48bb215bcb7f407", "kernel_id": "50640"}, {"ref": "yansoftware/xgboost-with-early-stopping", "kernel_id": "50641"}, {"ref": "rerngvit/notebook-90af5fbffe8160d6dec9", "kernel_id": "55283"}, {"ref": "chengjiun/just-chek", "kernel_id": "56615"}, {"ref": "wenlie/notebook-0aa53c4cd95886622164", "kernel_id": "47707"}, {"ref": "martinhowley/exploring-features", "kernel_id": "82527"}, {"ref": "alitousi/santander-cs", "kernel_id": "45045"}, {"ref": "etherqua/notebook-e19f71286c41f98dc625", "kernel_id": "46290"}, {"ref": "etherqua/test-xgb-fork", "kernel_id": "44073"}, {"ref": "analystrohitk/notebook-e122e42b304c865a0bfb", "kernel_id": "47048"}, {"ref": "samrotashoka/revolve-r-p", "kernel_id": "58746"}, {"ref": "samrotashoka/notebook-4b7ed0d7921121c19c2d", "kernel_id": "50398"}, {"ref": "samrotashoka/0-69-subsample", "kernel_id": "50401"}, {"ref": "samrotashoka/getting-into-the-r-revolution-action2", "kernel_id": "58305"}, {"ref": "samrotashoka/exploring-features", "kernel_id": "54918"}, {"ref": "sharadn/exploring-features", "kernel_id": "53999"}, {"ref": "jimmymirchandani/notebook-b9b4db3fe440316f80ba", "kernel_id": "60438"}, {"ref": "lndgrn/notebook-fc41999e668b31f0fbe2", "kernel_id": "51106"}, {"ref": "brajen259/notebook-32db7ca53760b43a5014", "kernel_id": "54896"}, {"ref": "brajen259/feature-selection", "kernel_id": "54897"}, {"ref": "brajen259/xgb-baseline-model", "kernel_id": "55234"}, {"ref": "brajen259/notebook-732641ad822a6ec6e8ef", "kernel_id": "55051"}, {"ref": "brajen259/feature-exploration", "kernel_id": "57238"}, {"ref": "brajen259/testing-ipython-notebook", "kernel_id": "57239"}, {"ref": "brajen259/notebook-8ba576bfa2df48c80e2c", "kernel_id": "57252"}, {"ref": "brajen259/pca-and-xgb", "kernel_id": "58330"}, {"ref": "brajen259/xgb-with-modified-features", "kernel_id": "57726"}, {"ref": "bergsfam/bergssantander", "kernel_id": "50644"}, {"ref": "rodrigodomingos/notebook-1d73241108eab0af2a2c", "kernel_id": "64154"}, {"ref": "rodrigodomingos/satisfaction", "kernel_id": "44188"}, {"ref": "romanakhunov/piton", "kernel_id": "47996"}, {"ref": "romanakhunov/first-1", "kernel_id": "47065"}, {"ref": "piinformatics/xgb-lalala", "kernel_id": "50587"}, {"ref": "piinformatics/test-test-test", "kernel_id": "56311"}, {"ref": "darraghdog/notebook-a52d72c20c0ab589fbc8", "kernel_id": "43755"}, {"ref": "darraghdog/check-data", "kernel_id": "43757"}, {"ref": "darraghdog/under-23-year-olds-are-always-happy", "kernel_id": "56901"}, {"ref": "nurlan/notebook-07dbe4ff0ea8bbfe91d9", "kernel_id": "58625"}, {"ref": "nurlan/xgb-lalala-cap-lims", "kernel_id": "56283"}, {"ref": "kaorunasuno/notebook-e77235d24324249963fa", "kernel_id": "50931"}, {"ref": "itzikmaoz/notebook-e1c5231f8eebbcf4c32b", "kernel_id": "54804"}, {"ref": "ghemanth/notebook-e8c68a64382e7efc14a0", "kernel_id": "80284"}, {"ref": "tebesu/test-script-1", "kernel_id": "45815"}, {"ref": "tebesu/notebook-04906503ee44a21ab19c", "kernel_id": "45928"}, {"ref": "lucasevsala/notebook-ba1318754018cc2fc574", "kernel_id": "52655"}, {"ref": "lucasevsala/testing-kaggle-s-notebook", "kernel_id": "52656"}, {"ref": "falaktheoptimist/xgboost-with-early-stopping", "kernel_id": "54875"}, {"ref": "falaktheoptimist/notebook-58e802e00c7539cb4dc8", "kernel_id": "54872"}, {"ref": "ouranos/package-info", "kernel_id": "53508"}, {"ref": "ouranos/xgb-lalala", "kernel_id": "53502"}, {"ref": "ouranos/simple-lasagne-neural-network", "kernel_id": "44797"}, {"ref": "nelsondinh/exploring-features", "kernel_id": "59380"}, {"ref": "empenguin/notebook-782753a85583f8924f0d", "kernel_id": "46424"}, {"ref": "empenguin/notebook-ab1f8811ead50a37ff54", "kernel_id": "50560"}, {"ref": "oustad/data-exploration", "kernel_id": "43911"}, {"ref": "anoopcse/random-forest", "kernel_id": "56302"}, {"ref": "jiqiujia/xgb-feat-selection-and-param-tuning", "kernel_id": "248129"}, {"ref": "davidhachuel/sbna-c-s", "kernel_id": "48302"}, {"ref": "yaronch/obtaining-feature-importance", "kernel_id": "592723"}, {"ref": "dougforrest/notebook-d86510847e383a055d85", "kernel_id": "46282"}, {"ref": "analyticsaddiction/data-exploration", "kernel_id": "45379"}, {"ref": "stevendu/advanced-feature-exploration", "kernel_id": "52020"}, {"ref": "stevendu/notebook-88281986f73abb939f50", "kernel_id": "57161"}, {"ref": "stevendu/notebook-94f1f56e1821205b33f3", "kernel_id": "57162"}, {"ref": "stevendu/notebook-1ec40352660502e14370", "kernel_id": "57163"}, {"ref": "stevendu/notebook-71e5b503c2a5ba59253d", "kernel_id": "57164"}, {"ref": "stevendu/exploring-features", "kernel_id": "57106"}, {"ref": "pointguard0/notebook-d322aa1dc80764aebb46", "kernel_id": "55814"}, {"ref": "isuranimalasiri/exploring-features", "kernel_id": "49297"}, {"ref": "essalj/exploring-features", "kernel_id": "172703"}, {"ref": "essalj/xgboost-and-simple-data-cleaning", "kernel_id": "171714"}, {"ref": "essalj/notebook1afa3fd7e3", "kernel_id": "123563"}, {"ref": "essalj/notebooke82ab914f8", "kernel_id": "123564"}, {"ref": "essalj/notebook6bbca49a41", "kernel_id": "123568"}, {"ref": "paragj/basic-feature-exploration", "kernel_id": "50468"}, {"ref": "psahoo/notebook-0480e675b22bc05888d7", "kernel_id": "53688"}, {"ref": "psahoo/exploring-features", "kernel_id": "120892"}, {"ref": "kgjkgj/xgboost-starter-script-param-tweak", "kernel_id": "43761"}, {"ref": "sunnmy/exploring-features", "kernel_id": "49119"}, {"ref": "brianbai/exploring-features", "kernel_id": "54202"}, {"ref": "vatsal2020/janetsnakehole", "kernel_id": "59788"}, {"ref": "vatsal2020/to-the-top-v33", "kernel_id": "59843"}, {"ref": "vatsal2020/feature-ranges", "kernel_id": "59428"}, {"ref": "vatsal2020/notebook-63e3627b8a9dd2398c79", "kernel_id": "53909"}, {"ref": "vatsal2020/basicfeatureelimination", "kernel_id": "53910"}, {"ref": "vatsal2020/finding-categorical-data", "kernel_id": "54948"}, {"ref": "greatdzx/notebook-10817f30866e9a677168", "kernel_id": "46882"}, {"ref": "manasrkar/to-the-top", "kernel_id": "57895"}, {"ref": "manasrkar/3004nonum4script-r", "kernel_id": "58914"}, {"ref": "manasrkar/exploring-features", "kernel_id": "60477"}, {"ref": "gzavattoni/notebook-2fbd61c80a24739eb693", "kernel_id": "47138"}, {"ref": "jpalekar/notebook-0848cfab2f4abdaeb52d", "kernel_id": "48436"}, {"ref": "prakharagarwal2511/exploring-features", "kernel_id": "126334"}, {"ref": "luisfer/notebook-e72572626ba282c9e579", "kernel_id": "53577"}, {"ref": "luisfer/prueba", "kernel_id": "53993"}, {"ref": "luisfer/notebook-fdf12fbb35754c11027a", "kernel_id": "53995"}, {"ref": "nrj5000/notebook-ca5c5680b5166d3e5e0d", "kernel_id": "48632"}, {"ref": "felixds/to-the-top-v3", "kernel_id": "58807"}, {"ref": "vedprakash93/notebook-9222c22d28964239f1bb", "kernel_id": "55512"}, {"ref": "drack3800/santander-starter-parameter-tune", "kernel_id": "49016"}, {"ref": "dkyang/basic-feature-exploration", "kernel_id": "54238"}, {"ref": "dkyang/notebook-96a68af8a659a3808977", "kernel_id": "55764"}, {"ref": "alittlealone/notebook-6c83fdcc8c05e5296313", "kernel_id": "43920"}, {"ref": "jxking/basic-feature-exploration", "kernel_id": "88894"}, {"ref": "thomasseleck/xgb-lalala", "kernel_id": "52103"}, {"ref": "thomasseleck/simple-xgboost-script-r", "kernel_id": "51731"}, {"ref": "scirpus/3-little-models", "kernel_id": "65759"}, {"ref": "scirpus/plain-ol-average", "kernel_id": "59021"}, {"ref": "scirpus/python-xgb-lb-41047", "kernel_id": "53541"}, {"ref": "scirpus/genetic-programming-3", "kernel_id": "49214"}, {"ref": "scirpus/xgb-with-count-poisson", "kernel_id": "48582"}, {"ref": "scirpus/nineteen-features", "kernel_id": "47317"}, {"ref": "sebgoring/notebook-ad054164c87ffe3ceae2", "kernel_id": "50154"}, {"ref": "sebgoring/notebook-cff3bfbbcf29d6f78482", "kernel_id": "50152"}, {"ref": "amlannanda/notebook-ea5b0982a653be7b2fc2", "kernel_id": "51774"}, {"ref": "slanidrak/exploring-features", "kernel_id": "51448"}, {"ref": "slanidrak/notebook-026eaf1757d69ee731bc", "kernel_id": "51449"}, {"ref": "hookemhorns/outlier-analysis", "kernel_id": "57573"}, {"ref": "hookemhorns/nnabol", "kernel_id": "58891"}, {"ref": "hookemhorns/notebook-c80484f588d41d3f7a4c", "kernel_id": "58893"}, {"ref": "hookemhorns/lalallala", "kernel_id": "58894"}, {"ref": "hookemhorns/nnartt2", "kernel_id": "58908"}, {"ref": "hookemhorns/salamati", "kernel_id": "58910"}, {"ref": "hookemhorns/salam", "kernel_id": "58745"}, {"ref": "gingayoshizawa/notebook-c06cbcbc42ce3af818a7", "kernel_id": "49601"}, {"ref": "gingayoshizawa/very-quick-data-check", "kernel_id": "49603"}, {"ref": "xiaopingzhao/notebook-538d8dbe64ec4389af48", "kernel_id": "72008"}, {"ref": "saquibahmad/notebook-e5bb0eeb9ee99a5fc7be", "kernel_id": "56967"}, {"ref": "saquibahmad/notebook-9fe78d9c80624c6fc6b1", "kernel_id": "56970"}, {"ref": "saquibahmad/notebook-70c6a204c8fabf70aa4a", "kernel_id": "51328"}, {"ref": "kuantumk/exploring-features", "kernel_id": "89381"}, {"ref": "leontanks/experiment-on-voting-classifier", "kernel_id": "59548"}, {"ref": "leontanks/notebook-382b455dff86438c19e5", "kernel_id": "59513"}, {"ref": "leontanks/notebook-65be38cf1512729f8ad5", "kernel_id": "59551"}, {"ref": "leontanks/notebook-fa990b8b8c264d40c034", "kernel_id": "59489"}, {"ref": "leontanks/notebook-22ad93e8aff5efd5f9d2", "kernel_id": "57138"}, {"ref": "leontanks/notebook-999b2989eed43e9157be", "kernel_id": "57078"}, {"ref": "leontanks/notebook-94af440ca20dee6ebf99", "kernel_id": "57079"}, {"ref": "leontanks/testing", "kernel_id": "57108"}, {"ref": "hulkbulk/santander-starter", "kernel_id": "43883"}, {"ref": "nitinl/age-loans-params", "kernel_id": "59325"}, {"ref": "nitinl/lb-0-84-for-starters", "kernel_id": "59280"}, {"ref": "nitinl/notebook-77f853ea9364fde9a0fd", "kernel_id": "59239"}, {"ref": "nitinl/notebook-930ddf88c641079d1394", "kernel_id": "59249"}, {"ref": "nitinl/notebook-97f908cfb493e3a7dd12", "kernel_id": "59250"}, {"ref": "nitinl/exploring-features", "kernel_id": "59241"}, {"ref": "nitinl/notebook-1fceb93e2ef55af8c426", "kernel_id": "59242"}, {"ref": "thiagomatos/exploring-features", "kernel_id": "181538"}, {"ref": "salahuddin/xgboost-starter-script-0-823-on-lb", "kernel_id": "44437"}, {"ref": "mohan7490/data-exploration", "kernel_id": "44968"}, {"ref": "mohan7490/notebook-cecac23151f5bed55b0f", "kernel_id": "44970"}, {"ref": "mohan7490/notebook-daecb0574280fb839ad6", "kernel_id": "44979"}, {"ref": "dfridman1/notebook-a2ea729de611178eb851", "kernel_id": "47106"}, {"ref": "pixixi/xgboost3", "kernel_id": "50081"}, {"ref": "keykey/notebook-c8527aa3499c7f228d55", "kernel_id": "52937"}, {"ref": "bimchen/xgb-lalala", "kernel_id": "50425"}, {"ref": "tobegood/notebook-38f8ac8efbcea50bc3e9", "kernel_id": "49885"}, {"ref": "tobegood/notebook-29f17dec79e904b464c3", "kernel_id": "49880"}, {"ref": "lavanyabhattu/notebook-ef624e0a161f6f58ab06", "kernel_id": "47505"}, {"ref": "evaristoc/exploring-features", "kernel_id": "76615"}, {"ref": "evaristoc/fork-santander-script", "kernel_id": "76626"}, {"ref": "evaristoc/notebook-8d44f76856849e8a5360", "kernel_id": "76628"}, {"ref": "fernandoconstantino/notebook-f867dcd8ca320a1064ac", "kernel_id": "46267"}, {"ref": "cvikas/people-with-loans-never-complain", "kernel_id": "57390"}, {"ref": "pawnty/notebook-bddc424e528614261c49", "kernel_id": "53583"}, {"ref": "pawnty/explore", "kernel_id": "73242"}, {"ref": "sonikel/to-the-top-v3", "kernel_id": "58736"}, {"ref": "cyhong549/data-exploration", "kernel_id": "48154"}, {"ref": "cyhong549/notebook-f12aa4a11e317f46a51c", "kernel_id": "48147"}, {"ref": "cyhong549/try-cv", "kernel_id": "49690"}, {"ref": "nitinagarwal/notebook-2e75b17586dd09994322", "kernel_id": "56877"}, {"ref": "zengjk/notebook1e30c92448", "kernel_id": "108709"}, {"ref": "manasi/logistic-regression", "kernel_id": "59951"}, {"ref": "manasi/logistic-regression-on-scaled-data", "kernel_id": "59954"}, {"ref": "rowanyuan/frist-code", "kernel_id": "101353"}, {"ref": "mikeholcomb/notebook-99201a65e703cebd2c98", "kernel_id": "49274"}, {"ref": "mikeholcomb/notebook-6669bb0f126f5c966103", "kernel_id": "49164"}, {"ref": "mikeholcomb/notebook-6072807f01e3f9f7887b", "kernel_id": "49169"}, {"ref": "mikeholcomb/notebook-d5bc49a06da5f7e89673", "kernel_id": "50085"}, {"ref": "davidsl83/script-inicial", "kernel_id": "50205"}, {"ref": "davidsl83/notebook-53d6e387cb3a7c1daa80", "kernel_id": "54503"}, {"ref": "ming861206/xgb-lalala-cap-lims", "kernel_id": "88671"}, {"ref": "eddiedinero/notebook-b6d910fbe8e73c3aee1d", "kernel_id": "51556"}, {"ref": "eddiedinero/notebook-968527165194fd3c81a0", "kernel_id": "51557"}, {"ref": "vivekag/notebook-d5b910cb4d34837cbfbf", "kernel_id": "46830"}, {"ref": "vivekag/vivek-s-xgboost", "kernel_id": "46831"}, {"ref": "nguyenhderrick/getting-into-the-r-revolution-action", "kernel_id": "58575"}, {"ref": "databeast/exploring-features", "kernel_id": "59908"}, {"ref": "databeast/notebook-b228e19b42d784725b52", "kernel_id": "59912"}, {"ref": "chzelada/advanced-feature-exploration", "kernel_id": "52387"}, {"ref": "evelynstamey/fork-of-notebook0739cff996", "kernel_id": "89107"}, {"ref": "evelynstamey/santander-xgboost-with-83-6-accuracy", "kernel_id": "89061"}, {"ref": "dhunters/exploring-features", "kernel_id": "48136"}, {"ref": "mrxair/exploring-features", "kernel_id": "100493"}, {"ref": "awstringer/01-first-attempt", "kernel_id": "52197"}, {"ref": "awstringer/notebook-314cb44da2f87095babe", "kernel_id": "52199"}, {"ref": "tazhoodeen/xgb-lalala", "kernel_id": "52970"}, {"ref": "andirey/notebook-016937ff46bb939d7f24", "kernel_id": "49472"}, {"ref": "sanderslin/exploring-features", "kernel_id": "69870"}, {"ref": "maddula/exploring-features", "kernel_id": "53758"}, {"ref": "maddula/notebook-445dd1c981cc7aae4f38", "kernel_id": "53762"}, {"ref": "maddula/basic-feature-exploration", "kernel_id": "53763"}, {"ref": "rgaddati/notebook-d908643b8469b7d1d56a", "kernel_id": "57439"}, {"ref": "rgaddati/notebook-37a95059669ed958a479", "kernel_id": "48542"}, {"ref": "rgaddati/santander1", "kernel_id": "45802"}, {"ref": "ryutek/model-and-feature-selection-with-python", "kernel_id": "47997"}, {"ref": "ryutek/notebook-d7dc3b02df08612e232f", "kernel_id": "47990"}, {"ref": "secondmoment/notebook-91a0dc8dfd401d9f92c4", "kernel_id": "47500"}, {"ref": "boooook/exploring-features", "kernel_id": "87610"}, {"ref": "miaoer/exploring-features", "kernel_id": "56746"}, {"ref": "miaoer/notebook-577009d5a9acbd265ad3", "kernel_id": "51502"}, {"ref": "wislish/notebook-89126524635c4a892eba", "kernel_id": "50949"}, {"ref": "wislish/notebook-36038cf8ea77fa0a2384", "kernel_id": "50951"}, {"ref": "wislish/exploring-features", "kernel_id": "50921"}, {"ref": "sharpy/xgbtst", "kernel_id": "51895"}, {"ref": "ngaude/notebook-6dc2548dfed8e695ba88", "kernel_id": "52168"}, {"ref": "tdcolorado/blending-rf-gbt-abc-and-xgb", "kernel_id": "56808"}, {"ref": "tdcolorado/exploring-features", "kernel_id": "56920"}, {"ref": "mestari/santander-starter", "kernel_id": "45168"}, {"ref": "gy1122/notebook-831fc2573e714e0f4f21", "kernel_id": "52438"}, {"ref": "gy1122/test-script", "kernel_id": "52439"}, {"ref": "vishwadil07/notebook-44250eedc61679ebe004", "kernel_id": "48026"}, {"ref": "victormanuelpelaez/notebook-3f828ad9425bb06c5793", "kernel_id": "45984"}, {"ref": "anarki/notebook-d58b9db0cc80460be712", "kernel_id": "56992"}, {"ref": "justfor/just-to-the-top", "kernel_id": "58268"}, {"ref": "justfor/feature-selection-basic-002", "kernel_id": "55169"}, {"ref": "wellyzhang/santander-starter-parameter-tune", "kernel_id": "48510"}, {"ref": "guillaumeph/basic-tensorflow-model", "kernel_id": "54241"}, {"ref": "wkuzhpkb/data-analysis-of-santander-customer-satisfaction", "kernel_id": "256709"}, {"ref": "echocanoe/notebook-849b28d34609ef013717", "kernel_id": "48644"}, {"ref": "godbless/notebook-81903afec5fab7411afc", "kernel_id": "50329"}, {"ref": "godbless/data-exploration", "kernel_id": "50324"}, {"ref": "godbless/feature-selection-1", "kernel_id": "53488"}, {"ref": "godbless/basic-feature-exploration", "kernel_id": "53789"}, {"ref": "godbless/advanced-feature-exploration", "kernel_id": "53790"}, {"ref": "godbless/exploring-features", "kernel_id": "53791"}, {"ref": "swapnil3003/santandar-script-r", "kernel_id": "47602"}, {"ref": "interesting/xgb-with-some-more-features", "kernel_id": "50034"}, {"ref": "cmoreside/notebook-ce1a2702bdec67e2852b", "kernel_id": "50647"}, {"ref": "signochastic/xgb-extrafeature", "kernel_id": "51724"}, {"ref": "signochastic/xgbmd", "kernel_id": "53017"}, {"ref": "signochastic/0-69-subsample", "kernel_id": "49658"}, {"ref": "signochastic/xgboost-starter-script-0-823-on-lb", "kernel_id": "43783"}, {"ref": "daisy12321/santander", "kernel_id": "56251"}, {"ref": "mkrtich/where-is-var23", "kernel_id": "47650"}, {"ref": "nirumand/notebook-ac34f9383f582b98b807", "kernel_id": "54788"}, {"ref": "nirumand/exploring-features", "kernel_id": "54781"}, {"ref": "nirumand/notebook-b7d6c00454389570fcb7", "kernel_id": "54782"}, {"ref": "threeplusme/to-the-top-v3", "kernel_id": "59077"}, {"ref": "threeplusme/xgb-lalala-cap-lims", "kernel_id": "55860"}, {"ref": "physheng/notebook-13d95b3bb89ac21987dc", "kernel_id": "59414"}, {"ref": "mayajha/maya-learn", "kernel_id": "52223"}, {"ref": "mayajha/advanced-feature-exploration", "kernel_id": "52230"}, {"ref": "wojciechmigda/stupid-is-who-stupid-does", "kernel_id": "51963"}, {"ref": "wojciechmigda/notebook-f6ed2a0d303ae26ed8bb", "kernel_id": "51100"}, {"ref": "wojciechmigda/to-the-top", "kernel_id": "57697"}, {"ref": "zhugds/starter-code-xgb", "kernel_id": "49560"}, {"ref": "iglovikov/notebook-6c0b125a4cc8f859181e", "kernel_id": "58461"}, {"ref": "iglovikov/notebook-d4fe8e290b5f174be067", "kernel_id": "58474"}, {"ref": "iglovikov/notebook-241ccbcb3871e63cebb8", "kernel_id": "58475"}, {"ref": "ashispapu/notebook-b683c23a6b08bc22f428", "kernel_id": "56036"}, {"ref": "ashispapu/notebook-bcfd388a25ca17498e5b", "kernel_id": "55855"}, {"ref": "ashispapu/exploring-features", "kernel_id": "55836"}, {"ref": "n0rdic/check-kernels", "kernel_id": "45495"}, {"ref": "aesnau/notebook-068b949ec63a41406324", "kernel_id": "50002"}, {"ref": "aesnau/notebook-9be1dfc6036b180387a0", "kernel_id": "50003"}, {"ref": "aesnau/notebook-ff712789d5cead53f64b", "kernel_id": "50004"}, {"ref": "aesnau/code1", "kernel_id": "49591"}, {"ref": "gryphus/notebook-0b88139399062c6a129d", "kernel_id": "45708"}, {"ref": "gryphus/helloworld", "kernel_id": "45711"}, {"ref": "gryphus/data-exploration", "kernel_id": "46717"}, {"ref": "rexzhang2013/notebook-e824e96401b861567c9e", "kernel_id": "49508"}, {"ref": "rexzhang2013/notebook-2ad9ed42f43401846710", "kernel_id": "48535"}, {"ref": "rexzhang2013/notebook-4bb2632db2167342a159", "kernel_id": "47985"}, {"ref": "rexzhang2013/notebook-bb0ee59c75ba243e985e", "kernel_id": "47643"}, {"ref": "innerproduct/exploring-features", "kernel_id": "59505"}, {"ref": "innerproduct/feature-ranges", "kernel_id": "59215"}, {"ref": "innerproduct/xgb-mod-of-popular-script", "kernel_id": "50406"}, {"ref": "innerproduct/xgb-w-gblinear", "kernel_id": "45182"}, {"ref": "innerproduct/xgb-mod", "kernel_id": "45179"}, {"ref": "innerproduct/tensorflow-nn-notebook-for-santander", "kernel_id": "51851"}, {"ref": "innerproduct/xgb-preprocess-only", "kernel_id": "51564"}, {"ref": "giovannidoni/notebook-9fc07d0e156239d2857c", "kernel_id": "44913"}, {"ref": "neelshah/sant6", "kernel_id": "59405"}, {"ref": "neelshah/sant7", "kernel_id": "59407"}, {"ref": "neelshah/sant8", "kernel_id": "59410"}, {"ref": "neelshah/sant5", "kernel_id": "59403"}, {"ref": "neelshah/sant1", "kernel_id": "59397"}, {"ref": "neelshah/sant2", "kernel_id": "59398"}, {"ref": "neelshah/sant3", "kernel_id": "59399"}, {"ref": "neelshah/sant4", "kernel_id": "59401"}, {"ref": "neelshah/demoo", "kernel_id": "59114"}, {"ref": "rdizzl3/notebook-95c36ced9602c62d9bf0", "kernel_id": "51105"}, {"ref": "rdizzl3/rdizzle6", "kernel_id": "57888"}, {"ref": "rdizzl3/rdizzle", "kernel_id": "57074"}, {"ref": "rdizzl3/people-with-loans-never-complain", "kernel_id": "57053"}, {"ref": "rdizzl3/rdizzle3", "kernel_id": "57467"}, {"ref": "rdizzl3/rdizzle1", "kernel_id": "57449"}, {"ref": "rdizzl3/rdizzle2", "kernel_id": "57457"}, {"ref": "rdizzl3/rdizzl3", "kernel_id": "55020"}, {"ref": "vsmalladi/notebook-245bbdafcad0d8773cd8", "kernel_id": "45013"}, {"ref": "smurching/first-script", "kernel_id": "47763"}, {"ref": "smurching/lb-0-84-for-starters", "kernel_id": "47764"}, {"ref": "nikosep/notebook-6fa2e380778e80702b0c", "kernel_id": "50410"}, {"ref": "saumyaprad/hello", "kernel_id": "45025"}, {"ref": "youngwolf/notebook-7f90639bef4c9f4c83e1", "kernel_id": "48673"}, {"ref": "youngwolf/data-exploration", "kernel_id": "49964"}, {"ref": "youngwolf/notebook-c6133e66435dddf7a3a9", "kernel_id": "49953"}, {"ref": "aydogankaragoz/notebook-7b65284985e171bc35da", "kernel_id": "45481"}, {"ref": "aydogankaragoz/santander", "kernel_id": "45464"}, {"ref": "aydogankaragoz/notebook-f11501832e322a125381", "kernel_id": "45471"}, {"ref": "achatterjee/notebook-bc6ac3d4a89636933e66", "kernel_id": "53767"}, {"ref": "datascientist1/notebook-629c5fff7e33e7e9ba2e", "kernel_id": "58058"}, {"ref": "datascientist1/feature-ranges", "kernel_id": "58042"}, {"ref": "datascientist1/notebook-614e9ef7f5194e94f3f6", "kernel_id": "52836"}, {"ref": "datascientist1/notebook-68434ddbae20ef32848e", "kernel_id": "52837"}, {"ref": "datascientist1/advanced-feature-exploration", "kernel_id": "52768"}, {"ref": "akbaresfahani/notebook-1432e0d6c4ccc35b22ab", "kernel_id": "49620"}, {"ref": "rkumarpavan/k-nearest-1", "kernel_id": "47068"}, {"ref": "rkumarpavan/notebook-b1c990710b9e36e7f11d", "kernel_id": "47280"}, {"ref": "rkumarpavan/xgboost-1", "kernel_id": "47284"}, {"ref": "rkumarpavan/validate", "kernel_id": "48438"}, {"ref": "tuomastik/pca-visualization", "kernel_id": "44405"}, {"ref": "tuomastik/unique-feature-values-visualization", "kernel_id": "44390"}, {"ref": "jaredchung/notebook-b341010d3cfbe6f89627", "kernel_id": "43796"}, {"ref": "jaredchung/trial-model-testing", "kernel_id": "43797"}, {"ref": "mackenb/notebook-7d2ec6c6cdc05e6c8510", "kernel_id": "45636"}, {"ref": "iliasemenov/notebook-2fe934439017df62a14a", "kernel_id": "49831"}, {"ref": "iliasemenov/notebook-5daf5b859f0c4cee093a", "kernel_id": "49832"}, {"ref": "iliasemenov/notebook-acc093ac15f990e56c16", "kernel_id": "49833"}, {"ref": "iliasemenov/notebook-9cbf8e0a610e4398a391", "kernel_id": "49834"}, {"ref": "iliasemenov/notebook-9cf5d3d612db791c80d2", "kernel_id": "49933"}, {"ref": "iliasemenov/xgb-lalala", "kernel_id": "49934"}, {"ref": "iliasemenov/notebook-3f17a637171f5072d003", "kernel_id": "49931"}, {"ref": "iliasemenov/lalalalala", "kernel_id": "59846"}, {"ref": "fdiego/notebook-dc76029a46801c203ecc", "kernel_id": "45075"}, {"ref": "fdiego/notebook-6ece8c43fd7e5daf4398", "kernel_id": "52517"}, {"ref": "apshreyans/scl-13-apr", "kernel_id": "53734"}, {"ref": "hrantkhachatrian/notebook-3762bc5ab96b2d9c751f", "kernel_id": "44186"}, {"ref": "hrantkhachatrian/notebook-28ca4b7eba789027a5d2", "kernel_id": "44189"}, {"ref": "alexzhang/notebook-90cfd18c5b2a12b40725", "kernel_id": "58239"}, {"ref": "lsilva/notebook-224529a4e4bf8a136acd", "kernel_id": "44284"}, {"ref": "lsilva/notebook-8d819c83aafb7b81e1ef", "kernel_id": "44838"}, {"ref": "lsilva/python-training", "kernel_id": "67936"}, {"ref": "lsilva/python-learning", "kernel_id": "67937"}, {"ref": "fsimond/santander-starter", "kernel_id": "43840"}, {"ref": "ucabhoa/notebook-143e7ea1efafe4085ffa", "kernel_id": "52008"}, {"ref": "ucabhoa/notebook-86a8e297b63888800997", "kernel_id": "51862"}, {"ref": "jingfangjoy/notebook-50f9480c3ad26e9618fb", "kernel_id": "48342"}, {"ref": "enjoyer2009/test01", "kernel_id": "177821"}, {"ref": "rishu271/notebook-439d0125d10cc8e59c11", "kernel_id": "44157"}, {"ref": "ravianand87/testmmm", "kernel_id": "59342"}, {"ref": "sajodani/notebook-0a7991cff144b2c8d5e5", "kernel_id": "46706"}, {"ref": "puyokw/xgb-lalala", "kernel_id": "50433"}, {"ref": "dmytrochasovskyi/santander-starter-parameter-tune", "kernel_id": "48391"}, {"ref": "canran/notebook-6da3e90dfe4d7a339e38", "kernel_id": "56247"}, {"ref": "canran/notebook-0aeaf4ba31ead244c316", "kernel_id": "56248"}, {"ref": "canran/rfc-vs-xgb", "kernel_id": "56249"}, {"ref": "canran/notebook-8362fd70ae3c32473634", "kernel_id": "56239"}, {"ref": "canran/notebook-9eec69bc92e90b365178", "kernel_id": "56242"}, {"ref": "canran/notebook-361082217573d531c3cf", "kernel_id": "56244"}, {"ref": "canran/santander-satisfaction1", "kernel_id": "56245"}, {"ref": "canran/notebook-abb8a2e5281f42e3b7d4", "kernel_id": "56232"}, {"ref": "canran/santander-satisfaction", "kernel_id": "56221"}, {"ref": "aditya23/r-xgboost", "kernel_id": "50132"}, {"ref": "aditya23/important-features-only", "kernel_id": "51388"}, {"ref": "aditya23/42594", "kernel_id": "59183"}, {"ref": "adamgar03/adamgar03-sandtander", "kernel_id": "58462"}, {"ref": "zyazzy/notebook-3dea7060586819761c80", "kernel_id": "58931"}, {"ref": "zyazzy/exploring-features", "kernel_id": "58594"}, {"ref": "dreeux/to-the-top", "kernel_id": "57767"}, {"ref": "shifanmao/notebook-9edf092edb41349d86be", "kernel_id": "47541"}, {"ref": "shifanmao/scatter-features", "kernel_id": "45761"}, {"ref": "badshot8/notebook-0d97ca11b11f73d32c0d", "kernel_id": "44029"}, {"ref": "chriscc/santander-starter-parameter-tune", "kernel_id": "48571"}, {"ref": "chriscc/0-69-subsample", "kernel_id": "49146"}, {"ref": "chriscc/3243234", "kernel_id": "49572"}, {"ref": "chriscc/santander-starter-1", "kernel_id": "52397"}, {"ref": "chriscc/xgb-lalalafdaf", "kernel_id": "52188"}, {"ref": "chriscc/notebook-6a65906b49c630cb215e", "kernel_id": "52584"}, {"ref": "chriscc/notebook-3bbc69d9fbc8263364f3", "kernel_id": "52585"}, {"ref": "chriscc/xgb-starter", "kernel_id": "52586"}, {"ref": "tonygracious/notebook-447f1d3784c0d8527bb3", "kernel_id": "53818"}, {"ref": "tonygracious/pca-visualization-effect-of-normalizatio", "kernel_id": "53816"}, {"ref": "harishneela/notebook-f613bf456af17803a0ed", "kernel_id": "58416"}, {"ref": "wawanco/temp44", "kernel_id": "48811"}, {"ref": "silvey1130/notebook-3d49e738b4aafd057041", "kernel_id": "53690"}, {"ref": "champion1955/notebook-d51cc79b04c22d090d46", "kernel_id": "56254"}, {"ref": "champion1955/santander", "kernel_id": "58558"}, {"ref": "champion1955/notebook-9b9fadc26b042f0a8b83", "kernel_id": "45528"}, {"ref": "champion1955/exploring-features", "kernel_id": "58876"}, {"ref": "champion1955/notebook-8655b2ce63bea3e54cb4", "kernel_id": "58877"}, {"ref": "champion1955/santander-exploration", "kernel_id": "58878"}, {"ref": "champion1955/to-the-top-v3", "kernel_id": "58879"}, {"ref": "champion1955/notebook-9ace4a1ce2bc1bf8d0c6", "kernel_id": "58882"}, {"ref": "liziyuann/advanced-feature-exploration", "kernel_id": "53776"}, {"ref": "michaelkirschbaum/notebook-1e767855ba41bbf6caa6", "kernel_id": "45221"}, {"ref": "michaelkirschbaum/notebook-453a808a821a80630835", "kernel_id": "45222"}, {"ref": "michaelkirschbaum/notebook-976b62474497b79fc76a", "kernel_id": "44660"}, {"ref": "danifernandez/under-23-year-olds-are-always-happy", "kernel_id": "56958"}, {"ref": "danifernandez/notebook-4e19fafd1b6a2846246b", "kernel_id": "56959"}, {"ref": "amineteffal/script-aminos-santander", "kernel_id": "57968"}, {"ref": "amineteffal/script-aminos-santander-bis", "kernel_id": "59660"}, {"ref": "rykachevskiy/test1", "kernel_id": "56685"}, {"ref": "rykachevskiy/notebook-544eb285d720f4b536a8", "kernel_id": "56690"}, {"ref": "rykachevskiy/notebook-0ce83b9913ed27fd5e27", "kernel_id": "56729"}, {"ref": "zizouvb/data-exploration", "kernel_id": "43933"}, {"ref": "zizouvb/trial-model-testing", "kernel_id": "43930"}, {"ref": "ilopezfr/notebook-578d85d06f5355cb42f2", "kernel_id": "78669"}, {"ref": "ilopezfr/testa", "kernel_id": "78670"}, {"ref": "ilopezfr/notebook-3d07efef6cdc9e14ff83", "kernel_id": "78672"}, {"ref": "ilopezfr/notebook-7d3ec5fc2faa5258b285", "kernel_id": "77897"}, {"ref": "yangnanhai/xgb-lalala-www", "kernel_id": "55727"}, {"ref": "yangnanhai/xgb-lalala-cap-lims2", "kernel_id": "55840"}, {"ref": "yangnanhai/0-68-subsample-571", "kernel_id": "50385"}, {"ref": "ranganath/notebook-68cf53509662c99aa5fe", "kernel_id": "47033"}, {"ref": "hanshan/notebook-30d7c6ee5ff6ca9042d4", "kernel_id": "59251"}, {"ref": "hanshan/exploring-features", "kernel_id": "49846"}, {"ref": "monnoroch/script-number-1", "kernel_id": "49792"}, {"ref": "fortytwo/notebook-2e3a15d0c056f94a121e", "kernel_id": "50299"}, {"ref": "fortytwo/test-r", "kernel_id": "50300"}, {"ref": "oristides/xgb-r", "kernel_id": "52365"}, {"ref": "oristides/notebook-c3e0e4fcc7f0276134b3", "kernel_id": "52214"}, {"ref": "oristides/xgb-oriel", "kernel_id": "52453"}, {"ref": "hooocp/xgboost-lr", "kernel_id": "283120"}, {"ref": "datasj/tryxgb3", "kernel_id": "59736"}, {"ref": "zearom32/notebook-a49a88cc4eabef5ea9b9", "kernel_id": "51395"}, {"ref": "zearom32/notebook-8796fa9e1c6db76df31d", "kernel_id": "51409"}, {"ref": "zearom32/notebook-a454a3ded029716e0622", "kernel_id": "51397"}, {"ref": "wuhang/notebook-47b1e69de8e222ce06a1", "kernel_id": "49172"}, {"ref": "aishijiang/aqqqqqqq", "kernel_id": "53611"}, {"ref": "yuansun/notebook-83c4d721e51b0c76dd26", "kernel_id": "44879"}, {"ref": "yuansun/test-1-0", "kernel_id": "44881"}, {"ref": "yuansun/lb-0-84-for-starters", "kernel_id": "44885"}, {"ref": "vishnumadhu/testingfactor", "kernel_id": "59364"}, {"ref": "vishnumadhu/logistic-classifier-basic", "kernel_id": "47316"}, {"ref": "vishnumadhu/pythontest", "kernel_id": "48747"}, {"ref": "ikaya754/exploring-features", "kernel_id": "56379"}, {"ref": "shawnqu/santander", "kernel_id": "56328"}, {"ref": "shawnqu/santander-using-existing-code", "kernel_id": "56479"}, {"ref": "shahidare/test-1-dsfkjs", "kernel_id": "55761"}, {"ref": "anandsriraman/notebook-a3f56f5279500910ec78", "kernel_id": "44788"}, {"ref": "mishasl/notebook-334bcc9091f75174ddc2", "kernel_id": "51179"}, {"ref": "hemanthjoshi/santander-xgb", "kernel_id": "57348"}, {"ref": "mdomar/modifications", "kernel_id": "59646"}, {"ref": "cryinlaugh/notebook-b8f0df1cee73974bb90a", "kernel_id": "47348"}, {"ref": "khaledfayed/xgboost-starter-script-0-823-on-lb", "kernel_id": "43774"}, {"ref": "khaledfayed/xgb-070", "kernel_id": "50480"}, {"ref": "khaledfayed/xgb-test3", "kernel_id": "51611"}, {"ref": "chechir/notebook-d0a1c1cc3f04e91a842e", "kernel_id": "56973"}, {"ref": "omarsultan/column-value-analysis", "kernel_id": "46902"}, {"ref": "mingmo/exploring-features", "kernel_id": "64233"}, {"ref": "nicolaspanel/notebook-4605c29e6a33d94678f7", "kernel_id": "47082"}, {"ref": "ppjane/notebook-4abc0657e07d211f9560", "kernel_id": "46420"}, {"ref": "randxie/notebook-5cc71a478fc533f0b0c1", "kernel_id": "59129"}, {"ref": "randxie/basic-tensorflow-model", "kernel_id": "59101"}, {"ref": "randxie/genetic-algorithm-for-feature-selection", "kernel_id": "59162"}, {"ref": "randxie/notebook-9c3deb367de330188f25", "kernel_id": "59484"}, {"ref": "jjuhannes/exploring-features", "kernel_id": "52494"}, {"ref": "grudniu/santander-ext4", "kernel_id": "51577"}, {"ref": "anthonyyeo/exploring-features", "kernel_id": "63078"}, {"ref": "ahmedhelmi/first-run", "kernel_id": "51926"}, {"ref": "justinlu/test-script", "kernel_id": "50027"}, {"ref": "aniketnitj/myplayground", "kernel_id": "46899"}, {"ref": "xunxun87/exploring-features", "kernel_id": "163610"}, {"ref": "diliplalwani/notebook-99e26b0d3510af4b0455", "kernel_id": "76670"}, {"ref": "kunalgera/santander", "kernel_id": "50974"}, {"ref": "wliping/exploring-features", "kernel_id": "57577"}, {"ref": "shashankbassi92/basic-tensorflow-model", "kernel_id": "60472"}, {"ref": "foundation/notebook-a8f0a6b6b1bde2ceec16", "kernel_id": "57365"}, {"ref": "deekaushal/exploring-features", "kernel_id": "65885"}, {"ref": "deekaushal/notebook-ba213f3a35bf3ff8afb5", "kernel_id": "65886"}, {"ref": "deekaushal/notebook-afaf8c4bf011df4aa3cd", "kernel_id": "65887"}, {"ref": "harukawa3/notebook-a26eeec52262342460cd", "kernel_id": "51902"}, {"ref": "tebzito/advanced-feature-exploration", "kernel_id": "53255"}, {"ref": "tebzito/notebook-6447593f9056234ad0d6", "kernel_id": "53312"}, {"ref": "tebzito/similar-variable-groupings", "kernel_id": "58297"}, {"ref": "tebzito/pca-and-k-means", "kernel_id": "60277"}, {"ref": "shijinzhang/notebook-e26aef52ccecb83bc0a8", "kernel_id": "51306"}, {"ref": "sodanuo/exploring-features", "kernel_id": "63178"}, {"ref": "alicelane/testing-notebook", "kernel_id": "49637"}, {"ref": "zard1991/exploring-features", "kernel_id": "125328"}, {"ref": "abolfazl/xgb-lalala", "kernel_id": "50801"}, {"ref": "abolfazl/0-69-subsample", "kernel_id": "49965"}, {"ref": "abolfazl/people-with-loans-never-complain", "kernel_id": "57559"}, {"ref": "abolfazl/testvbc", "kernel_id": "51320"}, {"ref": "abolfazl/generatefortest", "kernel_id": "52705"}, {"ref": "harshilsinghal/notebook-0103957f147398446bb0", "kernel_id": "50094"}, {"ref": "lucama/notebook2657a8800e", "kernel_id": "94938"}, {"ref": "ponadto/correlation-pairs", "kernel_id": "131932"}, {"ref": "ponadto/exploring-features", "kernel_id": "131929"}, {"ref": "filipacsr/exploring-features", "kernel_id": "60625"}, {"ref": "meanku/notebook-53ddae6d802965530a96", "kernel_id": "51884"}, {"ref": "chsovankrishna/notebook-353c9b8c77449c97ac4f", "kernel_id": "53316"}, {"ref": "chsovankrishna/notebook-63d01494d9e5a718349a", "kernel_id": "53299"}, {"ref": "chsovankrishna/notebook-5e49e2243cd8d3e69670", "kernel_id": "53055"}, {"ref": "chsovankrishna/santander-v9", "kernel_id": "53050"}, {"ref": "chsovankrishna/notebook-f24c5fe954c549958cbc", "kernel_id": "53051"}, {"ref": "chsovankrishna/notebook-647ad73637462183799d", "kernel_id": "51335"}, {"ref": "sterby/xgb-lalala-cap-lims", "kernel_id": "55424"}, {"ref": "jeblist/xgboost-with-cleaning-data", "kernel_id": "44640"}, {"ref": "jeblist/notebook-a012fc066a79956af4f5", "kernel_id": "43992"}, {"ref": "jeblist/xgboost-starter-script-0-823-on-lb", "kernel_id": "43993"}, {"ref": "chercheuse/exploring-features", "kernel_id": "146875"}, {"ref": "samusan/notebook-5d4c022b4bc1e937cc4a", "kernel_id": "48267"}, {"ref": "huangguanyu/notebook-5a5c682c310902e23a6a", "kernel_id": "50636"}, {"ref": "huangguanyu/santander", "kernel_id": "50637"}, {"ref": "prakashanand/basic-tensorflow-model", "kernel_id": "82515"}, {"ref": "nikjam/santander-starter", "kernel_id": "44007"}, {"ref": "khultman/santander-test-of-notebook", "kernel_id": "45645"}, {"ref": "timclaessens/notebook-bbcdf202d7094ff1d2e3", "kernel_id": "56433"}, {"ref": "saintromeo/exploring-features", "kernel_id": "56137"}, {"ref": "saintromeo/notebook-c581c28252b9f16ae950", "kernel_id": "56138"}, {"ref": "saintromeo/notebook-c80c39249a78898c9a6c", "kernel_id": "56139"}, {"ref": "saintromeo/notebook-116514760769a35b38e5", "kernel_id": "56140"}, {"ref": "saintromeo/notebook-bd7f211dd4ad84fdfc2a", "kernel_id": "56141"}, {"ref": "agxcul/data-exploration", "kernel_id": "44396"}, {"ref": "agxcul/important-feature", "kernel_id": "44397"}, {"ref": "edwinshi/exploring-features", "kernel_id": "106257"}, {"ref": "lancerts/notebook-ff050bfa9e16038b4e67", "kernel_id": "51468"}, {"ref": "lancerts/111111", "kernel_id": "51469"}, {"ref": "kes367/remove", "kernel_id": "50922"}, {"ref": "kes367/bleha", "kernel_id": "50928"}, {"ref": "kes367/nntanh", "kernel_id": "51096"}, {"ref": "kes367/nntanh1", "kernel_id": "51097"}, {"ref": "kes367/cheking", "kernel_id": "54646"}, {"ref": "kes367/simple-random-forest", "kernel_id": "52931"}, {"ref": "kes367/ehfeature", "kernel_id": "52891"}, {"ref": "kes367/xgb-lalalakes367", "kernel_id": "53352"}, {"ref": "chamyeongseop/notebook-e514310b0c7d13a957af", "kernel_id": "46881"}, {"ref": "chamyeongseop/notebook-770254cd86940cfee0bb", "kernel_id": "45300"}, {"ref": "chamyeongseop/notebook-ef5ee9adc9135e4e081a", "kernel_id": "45301"}, {"ref": "chamyeongseop/notebook-d408d7c5ff197baf53d0", "kernel_id": "45302"}, {"ref": "chamyeongseop/notebook-0ef9961d703b4d40f8cd", "kernel_id": "45296"}, {"ref": "chamyeongseop/notebook-605afb9d3584d636f0f2", "kernel_id": "45297"}, {"ref": "blackcore/lb-ext", "kernel_id": "45975"}, {"ref": "blackcore/xgboost", "kernel_id": "43763"}, {"ref": "blackcore/customer-satisfaction", "kernel_id": "44176"}, {"ref": "blackcore/notebook-ac151d340731d35e6c70", "kernel_id": "59578"}, {"ref": "blackcore/notebook-920d3fe65c167cae9ca0", "kernel_id": "59344"}, {"ref": "blackcore/notebook-9049e7a66395d19efcd7", "kernel_id": "59231"}, {"ref": "blackcore/notebook-42dbe6584283d22d40b8", "kernel_id": "59234"}, {"ref": "blackcore/notebook-83f3f62df4f327fd1bf7", "kernel_id": "59082"}, {"ref": "maritoun/notebook-be6d22bfba23ced5d8d7", "kernel_id": "48105"}, {"ref": "dinoczar/notebook-a488710b508c82405259", "kernel_id": "50045"}, {"ref": "nclsbrl/notebook-7a9bf25fff4dbcbf8a36", "kernel_id": "57753"}, {"ref": "nclsbrl/notebook-c03700054250f70393e9", "kernel_id": "57750"}, {"ref": "nclsbrl/santander-script", "kernel_id": "57747"}, {"ref": "rjtshrm/notebook-2895e7222f7d86e6a43f", "kernel_id": "45554"}, {"ref": "azsefi/xgboost-with-early-stopping", "kernel_id": "51380"}, {"ref": "azsefi/notebook-96ad9ca4db45b75bea06", "kernel_id": "51381"}, {"ref": "riccardonizzolo/arstdhneio2", "kernel_id": "55858"}, {"ref": "riccardonizzolo/xgb-lalala", "kernel_id": "55186"}, {"ref": "ryanhausen/explore", "kernel_id": "50887"}, {"ref": "fjroar76/notebook-ce051b91c5199445b7dc", "kernel_id": "51416"}, {"ref": "ggarcia/exploring-features", "kernel_id": "56462"}, {"ref": "teamml/to-the-top-v3", "kernel_id": "59189"}, {"ref": "boper315/notebook-76c9ca29fb9c155ae882", "kernel_id": "81771"}, {"ref": "boper315/exploring-features", "kernel_id": "81725"}, {"ref": "muaazbinsaeed/notebook-13a5184137a9b8e2cb40", "kernel_id": "48878"}, {"ref": "prince19/python-testing", "kernel_id": "51137"}, {"ref": "anupam1924/santander-starter-parameter-tune", "kernel_id": "48796"}, {"ref": "donutboy/notebook-fe59a1097b7f78f25c8a", "kernel_id": "44453"}, {"ref": "burakhmmtgl/notebook-09870da7cdc4f4901910", "kernel_id": "45316"}, {"ref": "burakhmmtgl/downscaled-random-forests-and-roc-curves", "kernel_id": "45317"}, {"ref": "paullo0106/using-10x-less-ram", "kernel_id": "46636"}, {"ref": "paullo0106/super-learner-xgboost-random-features", "kernel_id": "58376"}, {"ref": "paullo0106/blending-rf-gbt-abc-and-xgb", "kernel_id": "58356"}, {"ref": "agarwalnaimish/notebook-b47af0a0bd822f4fef96", "kernel_id": "54747"}, {"ref": "agarwalnaimish/trying-first-time", "kernel_id": "54516"}, {"ref": "yogeshbendre/notebook-9828c4989a8c026a390a", "kernel_id": "50325"}, {"ref": "yogeshbendre/notebook-45e0c594bd4ff56c6c3e", "kernel_id": "50330"}, {"ref": "yogeshbendre/notebook-1c74e0aba1f8d2e0719b", "kernel_id": "50059"}, {"ref": "yogeshbendre/notebook-7d1944087b030d62895d", "kernel_id": "50060"}, {"ref": "yogeshbendre/ysb-santa", "kernel_id": "50062"}, {"ref": "yogeshbendre/notebook-3cf4acade0416fcf1ab6", "kernel_id": "50092"}, {"ref": "yogeshbendre/myscript", "kernel_id": "48415"}, {"ref": "hieuiph/exploring-features", "kernel_id": "57880"}, {"ref": "iheartdatascience/to-the-top-v3", "kernel_id": "59941"}, {"ref": "sionek/reverse-feature-engineering", "kernel_id": "45105"}, {"ref": "sionek/improved-stratified-folds", "kernel_id": "56110"}, {"ref": "killercomet/xgb-lalala", "kernel_id": "52580"}, {"ref": "vaibhavrajvanshi/notebook-b5ca710e74a2a853c724", "kernel_id": "47617"}, {"ref": "vaibhavrajvanshi/notebook-898d78c12d21fccbc0b1", "kernel_id": "47619"}, {"ref": "sventleman/notebook-9d4985fdc6d770d850be", "kernel_id": "52511"}, {"ref": "silentrider/notebook-51b7bc1ab76483f85711", "kernel_id": "45369"}, {"ref": "satuspark/notebook-29ed6deea8ea4e170aea", "kernel_id": "45852"}, {"ref": "satuspark/notebook-9984378ae009e84b3a29", "kernel_id": "48714"}, {"ref": "samuelding/exploring-features", "kernel_id": "49862"}, {"ref": "antonov/notebook-e00371c9a7614dafa322", "kernel_id": "47202"}, {"ref": "akimovmike/notebook-36af71a21be67a35f0ae", "kernel_id": "55442"}, {"ref": "akimovmike/amg-0-v", "kernel_id": "55261"}, {"ref": "faizal/notebook-69317fdcd43adf4b9548", "kernel_id": "52734"}, {"ref": "upretip/notebook-62bf8713dd17c7de5786", "kernel_id": "54734"}, {"ref": "upretip/xgb-r", "kernel_id": "55010"}, {"ref": "labjon01/notebook-1aa8a125567c8b49accd", "kernel_id": "46271"}, {"ref": "labjon01/notebook-40a5ca294342d0b2e317", "kernel_id": "46274"}, {"ref": "labjon01/notebook-390556159f8c8faec616", "kernel_id": "46275"}, {"ref": "leheoppo/exploring-features", "kernel_id": "51062"}, {"ref": "w1154457423/xgboost", "kernel_id": "52464"}, {"ref": "w1154457423/xgboost2", "kernel_id": "52473"}, {"ref": "w1154457423/notebook-70d60e5cc4f8ff74f918", "kernel_id": "53256"}, {"ref": "w1154457423/xgboost1", "kernel_id": "53248"}, {"ref": "w1154457423/notebook-b289e54f86b81e6a5170", "kernel_id": "47957"}, {"ref": "w1154457423/santander-script", "kernel_id": "47958"}, {"ref": "w1154457423/notebook-edda541da88f5d5f15b1", "kernel_id": "47952"}, {"ref": "w1154457423/notebook-6daa0721cc89116b608e", "kernel_id": "47962"}, {"ref": "vergilgxw/advanced-feature-exploration", "kernel_id": "54209"}, {"ref": "arjbuzz/starter-r-script-lb-0-840310", "kernel_id": "45110"}, {"ref": "arjbuzz/notebook-616fbac60c88cd9adbf1", "kernel_id": "45114"}, {"ref": "whoisninja/notebook-670ec808a861571a8d41", "kernel_id": "50014"}, {"ref": "whoisninja/notebook-c483f2ec0ced40c71f02", "kernel_id": "51126"}, {"ref": "gajgarbosa/notebook-37908ac92c2ffbd67a75", "kernel_id": "49110"}, {"ref": "esemi77/notebook-a72db9a1fd0b0b8a8a63", "kernel_id": "50186"}, {"ref": "esemi77/notebook-cc156412232c783fb3e6", "kernel_id": "50188"}, {"ref": "esemi77/notebook-24438346d0e56b1a3984", "kernel_id": "50189"}, {"ref": "esemi77/test-5", "kernel_id": "50190"}, {"ref": "esemi77/notebook-d718ba6d9955941a58da", "kernel_id": "50197"}, {"ref": "esemi77/notebook-64a152d61920838604a1", "kernel_id": "50198"}, {"ref": "esemi77/exploring-features", "kernel_id": "50199"}, {"ref": "esemi77/notebook-7b0ea843737640e9b502", "kernel_id": "50524"}, {"ref": "timatim/santander", "kernel_id": "52288"}, {"ref": "subway/basic-feature-exploration", "kernel_id": "108406"}, {"ref": "tumani1/notebook-7642ec3012c4716e79a4", "kernel_id": "48967"}, {"ref": "anilcs/feature-sellection-xgboost-with-cv", "kernel_id": "49109"}, {"ref": "anilcs/xgboost-with-early-stopping", "kernel_id": "50413"}, {"ref": "anilcs/just-testing", "kernel_id": "49942"}, {"ref": "anilcs/just-testing-cv", "kernel_id": "51555"}, {"ref": "anilcs/mlp-classifier", "kernel_id": "51820"}, {"ref": "anilcs/using-lasagne-error", "kernel_id": "52833"}, {"ref": "joshiankit/notebook-bdbfcacbd4f1e908b633", "kernel_id": "46701"}, {"ref": "macilane/exploring-features", "kernel_id": "55470"}, {"ref": "macilane/notebook-060e3794387d2b74bb86", "kernel_id": "56072"}, {"ref": "chomnoue/notebook-2e976f6c69eeff6f27bb", "kernel_id": "50265"}, {"ref": "gaoxia2015/imprt12", "kernel_id": "43965"}, {"ref": "bobbye92/notebook-a15073c8c32f9637cabc", "kernel_id": "58103"}, {"ref": "andreviana/notebook-88f1f2506d05421be707", "kernel_id": "52845"}, {"ref": "febrifahmi/notebook-a1090ad9f6f27153a6d2", "kernel_id": "54541"}, {"ref": "febrifahmi/exploring-features", "kernel_id": "55058"}, {"ref": "yerzhan19/10001", "kernel_id": "52739"}, {"ref": "yerzhan19/acaba", "kernel_id": "52717"}, {"ref": "yerzhan19/1111-1", "kernel_id": "52516"}, {"ref": "yerzhan19/1-1-1-14", "kernel_id": "52476"}, {"ref": "yerzhan19/11111", "kernel_id": "52485"}, {"ref": "yerzhan19/1111111", "kernel_id": "51811"}, {"ref": "yerzhan19/check1", "kernel_id": "51803"}, {"ref": "yerzhan19/check-feature-sectin", "kernel_id": "50962"}, {"ref": "yerzhan19/q1111", "kernel_id": "50133"}, {"ref": "yerzhan19/111111111111111111111111111", "kernel_id": "50347"}, {"ref": "yerzhan19/111111111111", "kernel_id": "50367"}, {"ref": "yerzhan19/111111111", "kernel_id": "50387"}, {"ref": "yerzhan19/111111", "kernel_id": "50141"}, {"ref": "yerzhan19/11112", "kernel_id": "50142"}, {"ref": "yerzhan19/123451", "kernel_id": "50389"}, {"ref": "hhh920406/exploring-features", "kernel_id": "91701"}, {"ref": "zveroloff/to-the-top-v33", "kernel_id": "59841"}, {"ref": "kkshihab/notebook-c79477ad6e1db7341d61", "kernel_id": "58207"}, {"ref": "kpogrebenko/gbm-pca", "kernel_id": "52405"}, {"ref": "edmund1234/notebook-0ec891d5c8716ec2f1fe", "kernel_id": "56104"}, {"ref": "nit458/notebook-cb4b2a813f10622215f0", "kernel_id": "56928"}, {"ref": "mtamali/basic-feature-exploration", "kernel_id": "50905"}, {"ref": "caiomsouza/basic-feature-exploration", "kernel_id": "95725"}, {"ref": "graymalk/myfirstscript", "kernel_id": "47929"}, {"ref": "geekdad/notebook-d2a19b97b01a64d59b84", "kernel_id": "49002"}, {"ref": "geekdad/notebook-184312328512777ee319", "kernel_id": "49010"}, {"ref": "badabido/notebook-4a50c49f20980011d3c4", "kernel_id": "55570"}, {"ref": "popoola/exploring-features", "kernel_id": "57503"}, {"ref": "yourwanghao/try-to-optimize-feature-list", "kernel_id": "57597"}, {"ref": "yourwanghao/starter-r-script-lb-0-840310", "kernel_id": "45897"}, {"ref": "tomoki/notebook-2baf582df001e6ed65aa", "kernel_id": "49868"}, {"ref": "humoyun/notebook-3f64d94b7313714d85f9", "kernel_id": "72739"}, {"ref": "humoyun/notebook-c49b1d6141735915737a", "kernel_id": "72740"}, {"ref": "attila007/notebook3500e3219a", "kernel_id": "151099"}, {"ref": "udayanmaurya/notebook-08bc52447a68499ab592", "kernel_id": "50116"}, {"ref": "alexlzzz/xgb-starter-estop", "kernel_id": "43849"}, {"ref": "nikolayburlutskiy/xgboost-in-python-0-83x", "kernel_id": "45079"}, {"ref": "arpangupta87/notebook-7398a5a329365bf89be0", "kernel_id": "50676"}, {"ref": "arpangupta87/alpha-4", "kernel_id": "49425"}, {"ref": "arpangupta87/alpha-11", "kernel_id": "49406"}, {"ref": "arpangupta87/alpha", "kernel_id": "49412"}, {"ref": "arpangupta87/alpha111", "kernel_id": "58276"}, {"ref": "arpangupta87/alpha123", "kernel_id": "59519"}, {"ref": "arpangupta87/alpy-111", "kernel_id": "59314"}, {"ref": "abhinavs01858/xgb-r", "kernel_id": "55293"}, {"ref": "raencinas/notebook-0e5f7d4a156deaccc6db", "kernel_id": "45858"}, {"ref": "hjavan/to-the-top-v3", "kernel_id": "58615"}, {"ref": "hjavan/sample2", "kernel_id": "58618"}, {"ref": "srincong/to-the-top-v3", "kernel_id": "57988"}, {"ref": "srincong/xgb-lalala1", "kernel_id": "51565"}, {"ref": "albo86/something", "kernel_id": "44422"}, {"ref": "jpoles1/initial-attempt", "kernel_id": "55346"}, {"ref": "jpoles1/notebook-82fc2245ae1500a9c7ae", "kernel_id": "55347"}, {"ref": "jpoles1/notebook-6c060dae2165348ffccc", "kernel_id": "55377"}, {"ref": "jpoles1/notebook-f67e40d68d942c6803f9", "kernel_id": "55378"}, {"ref": "jpoles1/kerasseq", "kernel_id": "55382"}, {"ref": "jpoles1/notebook-af7137b384a9b29ae1c2", "kernel_id": "55387"}, {"ref": "jpoles1/notebook-3ee8325dbdd8f3668250", "kernel_id": "55515"}, {"ref": "jpoles1/notebook-eeb0da8a4da2ebf081fb", "kernel_id": "55523"}, {"ref": "jpoles1/notebook-339ed3e257136ae132e0", "kernel_id": "55534"}, {"ref": "jpoles1/notebook-a67d5b1e2ae1f2d68057", "kernel_id": "55632"}, {"ref": "jpoles1/notebook-1d3a690c9d1dc0bd15a7", "kernel_id": "55688"}, {"ref": "santyago/xgboost-starter-script-0-823-on-lb", "kernel_id": "43753"}, {"ref": "jaygulraj/exploring-features", "kernel_id": "54019"}, {"ref": "scentini/exploring-features", "kernel_id": "55228"}, {"ref": "joules/notebook-dfa6b503fee88c1b5eb0", "kernel_id": "48254"}, {"ref": "mohitmohan/overfitting", "kernel_id": "57839"}, {"ref": "pperalg/notebook-2919fbf42807bc649224", "kernel_id": "45844"}, {"ref": "pperalg/notebook-98c31f98942042621494", "kernel_id": "45841"}, {"ref": "pperalg/notebook-ba267296e451b3e9e289", "kernel_id": "45939"}, {"ref": "macs720/exploring-features", "kernel_id": "73690"}, {"ref": "espad0/notebook-f2912e7f665777833717", "kernel_id": "56146"}, {"ref": "naharabhishek9/exploring-features", "kernel_id": "56189"}, {"ref": "naharabhishek9/notebook-2a8b2faa7dc47556709f", "kernel_id": "56338"}, {"ref": "naharabhishek9/notebook-fc6b3017abac884d0600", "kernel_id": "56261"}, {"ref": "naharabhishek9/notebook-391860d3409657e92cb5", "kernel_id": "55728"}, {"ref": "gffcoutinho/xgb-lalala-cap-lims2", "kernel_id": "55979"}, {"ref": "enriquesantos/auc-0-88", "kernel_id": "46985"}, {"ref": "enriquesantos/lb-0-84-for-starters", "kernel_id": "46976"}, {"ref": "enriquesantos/xgboost", "kernel_id": "46981"}, {"ref": "saileshmohanty/xgb-r", "kernel_id": "51066"}, {"ref": "saileshmohanty/santander-starter", "kernel_id": "51080"}, {"ref": "chabir/basic-feature-exploration", "kernel_id": "51619"}, {"ref": "chabir/notebook-d8b7177a3007a37414f1", "kernel_id": "51624"}, {"ref": "chabir/notebook-133854eeb63684a6904a", "kernel_id": "51629"}, {"ref": "chabir/advanced-feature-exploration", "kernel_id": "51670"}, {"ref": "chabir/feature-selection-basic-002", "kernel_id": "52404"}, {"ref": "chabir/notebook-14072ff656e4b39807ae", "kernel_id": "52411"}, {"ref": "chabir/notebook-016ba23ffd3d3af203d6", "kernel_id": "52418"}, {"ref": "chabir/notebook-c27274797915655d461e", "kernel_id": "53309"}, {"ref": "chabir/notebook-cc35f5a83c34403659d9", "kernel_id": "53305"}, {"ref": "chabir/people-with-loans-never-complain", "kernel_id": "57254"}, {"ref": "dmi3kno/xgb-copy-of-best-script", "kernel_id": "55950"}, {"ref": "dmi3kno/people-with-loans-never-complain", "kernel_id": "57022"}, {"ref": "dmi3kno/combination", "kernel_id": "57817"}, {"ref": "dmi3kno/santander-starter-with-pca", "kernel_id": "45632"}, {"ref": "askaran/xgb-r", "kernel_id": "59622"}, {"ref": "pchitta/simple-boost-try", "kernel_id": "56332"}, {"ref": "reworkhow/notebook-2cb9720204aa06797fa2", "kernel_id": "57461"}, {"ref": "reworkhow/exploring-features", "kernel_id": "49986"}, {"ref": "zihexu/notebook-8dd5230fa720e520e861", "kernel_id": "50090"}, {"ref": "zihexu/lb-0-84-for-starters", "kernel_id": "50073"}, {"ref": "zihexu/notebook-7f0b274f32e6476a42f6", "kernel_id": "50317"}, {"ref": "zihexu/test1-r", "kernel_id": "56828"}, {"ref": "zihexu/final", "kernel_id": "59470"}, {"ref": "rasheedhameed/notebook-125b2241b57fc0dbc540", "kernel_id": "46316"}, {"ref": "warezovvv/notebook-65eedb46d6237029f051", "kernel_id": "47817"}, {"ref": "tiger2004011471/basic-feature-exploration", "kernel_id": "53158"}, {"ref": "tiger2004011471/notebook-d779d5c80449ccead6fc", "kernel_id": "53160"}, {"ref": "tiger2004011471/notebook-7dc915b6e1dad6fe13e6", "kernel_id": "53161"}, {"ref": "saravanann/notebook-1b313892ef382ca49070", "kernel_id": "53774"}, {"ref": "saravanann/notebook-d669e8418e5eb9384a68", "kernel_id": "53784"}, {"ref": "saravanann/notebook-641f3dd6c84c83d827bf", "kernel_id": "53785"}, {"ref": "saravanann/notebook-584514a59e8de03ad4c0", "kernel_id": "53786"}, {"ref": "saravanann/notebook-a1c5d637b228f42ab656", "kernel_id": "53805"}, {"ref": "saravanann/notebook-bc0e822427363f56f9ed", "kernel_id": "53781"}, {"ref": "saravanann/notebook-0e2cd2ede4a4ede0d234", "kernel_id": "53942"}, {"ref": "saravanann/notebook-0b33c7dc28235c4bed48", "kernel_id": "56350"}, {"ref": "saravanann/notebook-acfff406d1c017edeaa1", "kernel_id": "56351"}, {"ref": "saravanann/notebook-a733a7ea75dfbbe8c794", "kernel_id": "56347"}, {"ref": "saravanann/notebook-835bafdd0a6efca4751b", "kernel_id": "56130"}, {"ref": "saravanann/notebook-ee6e40f93f37ae78b747", "kernel_id": "56084"}, {"ref": "saravanann/notebook-a79477c3b7dd678e0993", "kernel_id": "48500"}, {"ref": "saravanann/santander", "kernel_id": "48475"}, {"ref": "saravanann/santander-2", "kernel_id": "50160"}, {"ref": "jorgeporca1/notebook1d31829bf6", "kernel_id": "86162"}, {"ref": "jorgeporca1/notebook-f0f9132e20390e3097fc", "kernel_id": "85215"}, {"ref": "jorgeporca1/z12345", "kernel_id": "85065"}, {"ref": "jorgeporca1/notebook-a758d6448e05e81d60f8", "kernel_id": "84974"}, {"ref": "jorgeporca1/notebook-82e9e75505ddeba37732", "kernel_id": "49895"}, {"ref": "mattimeyer/notebook-25c97a471f47ebd39b60", "kernel_id": "47203"}, {"ref": "pauldid/exploring-features", "kernel_id": "67547"}, {"ref": "liuzq09/notebook-256d77dcb3c3ab26f381", "kernel_id": "59655"}, {"ref": "liuzq09/test-py", "kernel_id": "46127"}, {"ref": "liuzq09/notebook-cc6da454510ca2d89b96", "kernel_id": "44559"}, {"ref": "liuzq09/python-xgb-lb-0-841047", "kernel_id": "56726"}, {"ref": "liuzq09/notebook-b920f504f72cb3171fb7", "kernel_id": "56739"}, {"ref": "kevinsch/notebook-a433e72c2999f65a4023", "kernel_id": "51003"}, {"ref": "kevinsch/notebook-d4b17df309b3cd63077a", "kernel_id": "51000"}, {"ref": "sanjeev300/notebook-e9b7c5e27ebe380e95ce", "kernel_id": "58248"}, {"ref": "uuurrr/xgb-lalala", "kernel_id": "56954"}, {"ref": "rajighawi/simple-random-forest", "kernel_id": "44214"}, {"ref": "sandesh09/notebook-c65b748016a611641c26", "kernel_id": "48228"}, {"ref": "quevedin/notebook-dd9817d076057bc23f7e", "kernel_id": "51085"}, {"ref": "shaileshaher/notebook-78312600c36cf5f4f786", "kernel_id": "49866"}, {"ref": "shaileshaher/notebook-906738849c173f712088", "kernel_id": "49843"}, {"ref": "shaileshaher/notebook-4fb4c48ec9692614392f", "kernel_id": "49844"}, {"ref": "shaileshaher/data-exploration", "kernel_id": "48573"}, {"ref": "sriraghu/xgb-santander", "kernel_id": "44668"}, {"ref": "lalthan/exploring-features", "kernel_id": "51375"}, {"ref": "lalthan/to-the-top-v3", "kernel_id": "58270"}, {"ref": "waiyanminkyaing/exploring-features", "kernel_id": "108908"}, {"ref": "adegie/forked", "kernel_id": "56990"}, {"ref": "acelikkaya/0-83-score-with-36-features-only", "kernel_id": "57635"}, {"ref": "yojimbo/notebook-e9fb129750b9600429e5", "kernel_id": "44666"}, {"ref": "yojimbo/notebook-22ff099ba38414301f13", "kernel_id": "44514"}, {"ref": "yojimbo/testing", "kernel_id": "44631"}, {"ref": "shashidhungel/santander-test1", "kernel_id": "45997"}, {"ref": "ashokt/advanced-feature-exploration", "kernel_id": "76555"}, {"ref": "ashokt/correlation-pairs", "kernel_id": "76550"}, {"ref": "ashokt/exploring-features", "kernel_id": "76528"}, {"ref": "carloside/notebook-9f7c0b030b7d56b31f22", "kernel_id": "51032"}, {"ref": "mayasofsof/p12kjkj", "kernel_id": "51057"}, {"ref": "mayasofsof/notebook-e13adc754a7edb30c166", "kernel_id": "49594"}, {"ref": "msgym5/notebook-ba099e4ef8a54201ac56", "kernel_id": "52025"}, {"ref": "shahvatsal/notebook-61ccebdee6068fc2d22f", "kernel_id": "44672"}, {"ref": "stgiles/exploring-features", "kernel_id": "99743"}, {"ref": "vivekhelsing/santander-trial", "kernel_id": "58014"}, {"ref": "vivekhelsing/newone", "kernel_id": "65201"}, {"ref": "towhid1/notebook-6b073949e04e75bce8ee", "kernel_id": "51246"}, {"ref": "towhid1/notebook-8e2414dc18d682c5af09", "kernel_id": "51304"}, {"ref": "towhid1/checking", "kernel_id": "51300"}, {"ref": "towhid1/notebook-d1b04dc4aa9867da63b9", "kernel_id": "51084"}, {"ref": "towhid1/notebook-82a88b390563d7db5220", "kernel_id": "58510"}, {"ref": "towhid1/notebook-c9d1b97846fe4ef99311", "kernel_id": "58498"}, {"ref": "towhid1/notebook-9b2f306ca109e7e22140", "kernel_id": "58505"}, {"ref": "totruok/notebook-810df400897e08a1c0e9", "kernel_id": "57749"}, {"ref": "totruok/notebook-7a206b2e1ee7d99efc96", "kernel_id": "56724"}, {"ref": "totruok/notebook-58139f12f364fb641a1b", "kernel_id": "56721"}, {"ref": "totruok/notebook-577f32efdd086d8e8be0", "kernel_id": "56722"}, {"ref": "totruok/notebook-687f7b817d63405237c9", "kernel_id": "56706"}, {"ref": "totruok/myfirstnotebook", "kernel_id": "56702"}, {"ref": "totruok/notebook-d9f328aab561a671484f", "kernel_id": "57299"}, {"ref": "xldennis/notebook-94b21cf4f882f2548091", "kernel_id": "51081"}, {"ref": "david84/notebook-cc6370e60695b1c125c5", "kernel_id": "59552"}, {"ref": "david84/3004nonum4script0-r", "kernel_id": "58986"}, {"ref": "beletecheneke/exploring-features", "kernel_id": "177761"}, {"ref": "tvieira/notebook-795d313b83abb58ff505", "kernel_id": "46145"}, {"ref": "cilliand/notebook-d22c28c2914ad1294ef0", "kernel_id": "49217"}, {"ref": "nelson000/notebook-666ea360f8cceadcd9ca", "kernel_id": "62801"}, {"ref": "nelson000/notebook-c7a3a3c20f9083ed8392", "kernel_id": "62802"}, {"ref": "nelson000/exploring-features", "kernel_id": "54844"}, {"ref": "nelson000/notebook-4f5f59ee16dc6afde51d", "kernel_id": "54845"}, {"ref": "harishvgupta/notebook-dde72286d1dc93862e6c", "kernel_id": "47669"}, {"ref": "rohitkothur/notebook-64eb173b62f880511e6e", "kernel_id": "56528"}, {"ref": "dbpatankar/notebook-f5caa9ea5c3f97961222", "kernel_id": "57152"}, {"ref": "alexbaydin/new-file", "kernel_id": "47603"}, {"ref": "alexbaydin/r-scripts", "kernel_id": "47610"}, {"ref": "alexbaydin/submission", "kernel_id": "47327"}, {"ref": "alexbaydin/avada", "kernel_id": "49245"}, {"ref": "kevinmcisaac/notebook-58102812946338c072a4", "kernel_id": "44317"}, {"ref": "sukase/first", "kernel_id": "48233"}, {"ref": "sukase/notebook-3f34cb84d2dd86341846", "kernel_id": "48230"}, {"ref": "jk2015/pca-and-k-means", "kernel_id": "166327"}, {"ref": "jk2015/pca-and-k-means-copy", "kernel_id": "166328"}, {"ref": "gleiwer/notebook-b347da2a60cb07ca8f3a", "kernel_id": "44834"}, {"ref": "halbuquerque/notebook387a151713", "kernel_id": "193358"}, {"ref": "halbuquerque/notebooka7a903dcf4", "kernel_id": "159620"}, {"ref": "sajal0jain/exploring-features", "kernel_id": "139112"}, {"ref": "justart/notebook-36d31b6b314952268d02", "kernel_id": "48248"}, {"ref": "jak131/exploring-features", "kernel_id": "88414"}, {"ref": "iradium/under-23-year-olds-are-always-happy", "kernel_id": "57003"}, {"ref": "iradium/lb-0-84-for-starters", "kernel_id": "47908"}, {"ref": "iradium/revolve-r-p", "kernel_id": "58729"}, {"ref": "jibybabu/notebook6d5b1385d9", "kernel_id": "97544"}, {"ref": "phegde/exploring-features", "kernel_id": "55984"}, {"ref": "melghazali/notebook-add19601c2ab1c52fbed", "kernel_id": "49609"}, {"ref": "fe2ol3t9n301be/xgb-lalala", "kernel_id": "53855"}, {"ref": "bunny01/notebook-e9f579af4df23a6f7f9f", "kernel_id": "59199"}, {"ref": "vincentclaes/notebook-4eb877a7edc7a983ed86", "kernel_id": "49331"}, {"ref": "vincentclaes/notebook-062416009a3543e97b25", "kernel_id": "50140"}, {"ref": "vincentclaes/notebook-86608e97556750185b3a", "kernel_id": "50200"}, {"ref": "vincentclaes/notebook-c9f355846bf7772c60e0", "kernel_id": "50202"}, {"ref": "vincentclaes/notebook-1fa1145a96ad15ced452", "kernel_id": "50232"}, {"ref": "vincentclaes/satisfactioooooooon", "kernel_id": "48344"}, {"ref": "vincentclaes/notebook-33a3ed1f2fbda929318b", "kernel_id": "48361"}, {"ref": "gutokonzen/notebook-767c9ff27f326a00bbce", "kernel_id": "45092"}, {"ref": "francalvo/first-attempt", "kernel_id": "55448"}, {"ref": "dujekmancin/advanced-feature-exploration", "kernel_id": "61449"}, {"ref": "dujekmancin/notebook-b188ab94ed1f935b0747", "kernel_id": "61450"}, {"ref": "jsp282/notebook-28b3b0a8656a9898dbd7", "kernel_id": "47389"}, {"ref": "whatisakaggle/basic-tensorflow-model", "kernel_id": "59782"}, {"ref": "whatisakaggle/notebook-4915e0cb6c74b16037ae", "kernel_id": "59783"}, {"ref": "tunguz/to-the-top", "kernel_id": "57693"}, {"ref": "gupta17anukriti/shdjksfj", "kernel_id": "59246"}, {"ref": "gupta17anukriti/3004nonum4script-r", "kernel_id": "58952"}, {"ref": "gupta17anukriti/new-script1", "kernel_id": "56150"}, {"ref": "gupta17anukriti/people-with-loans-never-complain", "kernel_id": "57385"}, {"ref": "gupta17anukriti/aaaswndjjm", "kernel_id": "58449"}, {"ref": "wangqi1991/basic-tensorflow-model", "kernel_id": "60432"}, {"ref": "sindhujakancharla/basic-feature-exploration", "kernel_id": "55245"}, {"ref": "oivanov/exploring-features", "kernel_id": "58702"}, {"ref": "oivanov/notebook-ab6c57ffbc38621bf9f0", "kernel_id": "55562"}, {"ref": "muhammedazamkhan/notebook-e483ad717657bae1ca43", "kernel_id": "55329"}, {"ref": "muhammedazamkhan/xgb-0-83-score-with-36-features-only", "kernel_id": "55087"}, {"ref": "muhammedazamkhan/this-is-forked-from-auc-0-88", "kernel_id": "54881"}, {"ref": "muhammedazamkhan/auc-0-88", "kernel_id": "54879"}, {"ref": "muhammedazamkhan/notebook-22f1a6cdedb168b27bc0", "kernel_id": "55023"}, {"ref": "muhammedazamkhan/getting-into-the-r-revolution-action", "kernel_id": "58313"}, {"ref": "dumpty/to-the-top-v3", "kernel_id": "58145"}, {"ref": "dumpty/notebook-86da484948e456a5016a", "kernel_id": "57173"}, {"ref": "dumpty/may01", "kernel_id": "59382"}, {"ref": "jcpreddy/data-exploration", "kernel_id": "148974"}, {"ref": "pasqui/getting-into-the-r-revolution-action", "kernel_id": "58000"}, {"ref": "pasqui/tensorflow-test", "kernel_id": "57993"}, {"ref": "pasqui/notebook-c6b84a9d4c44e823e03d", "kernel_id": "57994"}, {"ref": "millerintllc/satan-customer-satisfaction", "kernel_id": "43766"}, {"ref": "ahoppity/notebook-d09f7aeced5d3ef8a1b6", "kernel_id": "55208"}, {"ref": "devowl/common-0-15", "kernel_id": "56692"}, {"ref": "devowl/xgb-lalala-cap-lims-cv", "kernel_id": "56673"}, {"ref": "devowl/common-cs2", "kernel_id": "56695"}, {"ref": "devowl/common-down-5", "kernel_id": "56821"}, {"ref": "devowl/combination", "kernel_id": "57595"}, {"ref": "devowl/people-with-loans-never-complain-2", "kernel_id": "57587"}, {"ref": "devowl/people-with-loans-never-complain", "kernel_id": "57286"}, {"ref": "devowl/to-the-top-v2-zero", "kernel_id": "57954"}, {"ref": "devowl/to-the-top-v2", "kernel_id": "57942"}, {"ref": "devowl/to-the-top-v3", "kernel_id": "58019"}, {"ref": "devowl/12323", "kernel_id": "59261"}, {"ref": "whyock/notebook-118839cbbf0cce6bc6a1", "kernel_id": "55078"}, {"ref": "gt1967/notebook-3705105e1c98515bfbcd", "kernel_id": "51011"}, {"ref": "dehmesquita/notebook-80ec30f4b25c879b05b8", "kernel_id": "48110"}, {"ref": "ganliu/notebook-9a10fafd06825d81cb06", "kernel_id": "58758"}, {"ref": "ganliu/variable-selection", "kernel_id": "58759"}, {"ref": "ganliu/testmmm", "kernel_id": "59404"}, {"ref": "ganliu/notebook-1206414fc8247465b279", "kernel_id": "55636"}, {"ref": "ganliu/notebook-252bef6cd9ac71bc8b31", "kernel_id": "55619"}, {"ref": "ganliu/notebook-05cf33a4da537cda1fa8", "kernel_id": "55622"}, {"ref": "ganliu/gbt-test", "kernel_id": "55623"}, {"ref": "ganliu/notebook-83a3ba8d1ab89d024c6f", "kernel_id": "55641"}, {"ref": "ganliu/testwhy", "kernel_id": "55642"}, {"ref": "ganliu/notebook-1ac9131a44465e9395c0", "kernel_id": "56554"}, {"ref": "ganliu/notebook-d139bce51a41e97b1b4e", "kernel_id": "57090"}, {"ref": "ganliu/notebook-ee9f5008423ded24b219", "kernel_id": "57070"}, {"ref": "ganliu/notebook-7e77cf6bc437ec1425cc", "kernel_id": "57057"}, {"ref": "ganliu/notebook-2f9aa40ea2cd2e485211", "kernel_id": "57398"}, {"ref": "ganliu/xgb-param", "kernel_id": "57428"}, {"ref": "ganliu/notebook-e7221d995913a2d3c369", "kernel_id": "57502"}, {"ref": "ganliu/xgb-resample", "kernel_id": "57906"}, {"ref": "ganliu/xgb-boostrap", "kernel_id": "58412"}, {"ref": "ganliu/notebook-c1d010857c6364fabf25", "kernel_id": "53654"}, {"ref": "mollyenjoy/notebook-e6a57ba3204162f15416", "kernel_id": "43837"}, {"ref": "jordanmicahbennett/notebook-cee0bc9c5315ac94e52c", "kernel_id": "44854"}, {"ref": "linfanangel/notebook-8534b3d3a09b321ffb2a", "kernel_id": "44782"}, {"ref": "linfanangel/notebook-37a7d022b9f86cf78f4b", "kernel_id": "44783"}, {"ref": "pararols/santander-starter-parameter-tune", "kernel_id": "50900"}, {"ref": "alokra/notebook-fec728f4b11e47fca526", "kernel_id": "55227"}, {"ref": "ag1234/xgb-ensembled", "kernel_id": "55549"}, {"ref": "michaelfan/truuuuu", "kernel_id": "57234"}, {"ref": "michaelfan/extraaaaa", "kernel_id": "53450"}, {"ref": "michaelfan/xgsssssssss", "kernel_id": "51484"}, {"ref": "michaelfan/850-extra", "kernel_id": "48461"}, {"ref": "michaelfan/xgbbbbbbb", "kernel_id": "50613"}, {"ref": "michaelfan/0-6-xgb", "kernel_id": "49675"}, {"ref": "michaelfan/dep6ss", "kernel_id": "49384"}, {"ref": "michaelfan/tryaginnnn", "kernel_id": "49395"}, {"ref": "daniel16/notebook-f4205d09bb21cf3cb520", "kernel_id": "53719"}, {"ref": "daniel16/xgbtry", "kernel_id": "53720"}, {"ref": "daniel16/xgbtry1", "kernel_id": "53923"}, {"ref": "daniel16/xgbtry2", "kernel_id": "53925"}, {"ref": "daniel16/to-the-top-v3", "kernel_id": "59849"}, {"ref": "kevins/xgb-lalala1", "kernel_id": "51399"}, {"ref": "kevins/random", "kernel_id": "54148"}, {"ref": "kevins/ohevar36age-nahandling-simpleensemble", "kernel_id": "50730"}, {"ref": "kevins/missing-values-ohe-of-age", "kernel_id": "49218"}, {"ref": "kevins/removed-correlation-and-treat-na-vals", "kernel_id": "49262"}, {"ref": "kevins/notebook-49a2c8d87df8fa87864a", "kernel_id": "49264"}, {"ref": "kevins/removed-corr-and-treat-na-vals", "kernel_id": "49267"}, {"ref": "kevins/ohe-done-right", "kernel_id": "49250"}, {"ref": "kevins/maxdepth-7", "kernel_id": "49427"}, {"ref": "kevins/ensemble-xgboost", "kernel_id": "49448"}, {"ref": "kevins/latest", "kernel_id": "48746"}, {"ref": "kevins/newest", "kernel_id": "48899"}, {"ref": "kevins/newest-1", "kernel_id": "48900"}, {"ref": "kevins/notebook-e5208c3a5cce79975081", "kernel_id": "48406"}, {"ref": "kevins/3004nonum4script0-r", "kernel_id": "59694"}, {"ref": "kevins/exploring-features", "kernel_id": "58972"}, {"ref": "mdjurek/notebook-0772777444a15ad32855", "kernel_id": "55643"}, {"ref": "kennivich/notebook-7e324fcb039b14c4cf60", "kernel_id": "51937"}, {"ref": "kennivich/notebook-a344d003a342420e1879", "kernel_id": "51940"}, {"ref": "kennivich/notebook-1f879b8df8f628990524", "kernel_id": "49289"}, {"ref": "steventurner/notebook-0492535dd8a2d21621b5", "kernel_id": "46946"}, {"ref": "ajncespedes/overfitted-xgboost", "kernel_id": "59316"}, {"ref": "ajncespedes/notebook-3f4c450f191992f3c8f2", "kernel_id": "59309"}, {"ref": "ajncespedes/notebook-4ef4cd4a8d9dc145916e", "kernel_id": "49014"}, {"ref": "arunkr/test1-py", "kernel_id": "45305"}, {"ref": "admiralwen/notebook-7ce90b08b1808d8f8b1f", "kernel_id": "51232"}, {"ref": "renangohe/exploring-features", "kernel_id": "97210"}, {"ref": "danielvdml/notebook-866e3dd3a3dd82dba34f", "kernel_id": "60057"}, {"ref": "nisa1047/satander6", "kernel_id": "64457"}, {"ref": "nisa1047/santander", "kernel_id": "64562"}, {"ref": "nisa1047/iter6", "kernel_id": "65213"}, {"ref": "nisa1047/santander-exploratory", "kernel_id": "66411"}, {"ref": "nisa1047/notebook-63e941c1ff77bb06b007", "kernel_id": "66481"}, {"ref": "nisa1047/notebook-5f25c522faf13e4acb71", "kernel_id": "66467"}, {"ref": "nisa1047/iterat17", "kernel_id": "66472"}, {"ref": "nisa1047/notebook-a953e658ee64f1ce2119", "kernel_id": "67661"}, {"ref": "hansd234/notebook-ed47b5b3c93b8c917921", "kernel_id": "53371"}, {"ref": "saturdaystep/notebook-b46f6c16c45c88d99780", "kernel_id": "51560"}, {"ref": "alpoza/lb-0-84-for-starters", "kernel_id": "46280"}, {"ref": "alpoza/notebook-1f970401bdc72009ddf0", "kernel_id": "55802"}, {"ref": "alpoza/notebook-8e9c3a818cf7646ec4bf", "kernel_id": "55804"}, {"ref": "alpoza/notebook-c7737ac09e24b5097c08", "kernel_id": "55812"}, {"ref": "alpoza/exploring-features", "kernel_id": "55775"}, {"ref": "alpoza/notebook-67b61bfe01db90c9569e", "kernel_id": "55835"}, {"ref": "anurag173/exploring-features", "kernel_id": "54275"}, {"ref": "anurag173/notebook-d98d2867f95fadf8e07c", "kernel_id": "54277"}, {"ref": "ssoumen/exploring-features", "kernel_id": "50422"}, {"ref": "ssoumen/random", "kernel_id": "49966"}, {"ref": "anishgt/notebook-cab7f3cf1657093d7634", "kernel_id": "55277"}, {"ref": "anishgt/notebook-e4502d2bcd20ec84816b", "kernel_id": "55280"}, {"ref": "svarmit/notebook-02af0e4175e7539df6c3", "kernel_id": "48642"}, {"ref": "eidanch/notebook-408d1b531dc94149c709", "kernel_id": "52489"}, {"ref": "qintxx/exploring-features", "kernel_id": "94619"}, {"ref": "shobhitg11/notebook-607532cfda4d6e522660", "kernel_id": "53771"}, {"ref": "roykoikai/exploring-features", "kernel_id": "57421"}, {"ref": "roykoikai/notebook-7a1f7ce463a50f4e0cea", "kernel_id": "57410"}, {"ref": "molero/notebook-922d2d58780074a14a4c", "kernel_id": "47892"}, {"ref": "jiaoyanchen/notebook-c82a5738ba0c978b4abe", "kernel_id": "46374"}, {"ref": "jiaoyanchen/notebook-dfe3a4aea3fb3031c4d9", "kernel_id": "46375"}, {"ref": "jiaoyanchen/script-r", "kernel_id": "46376"}, {"ref": "jiaoyanchen/script-py", "kernel_id": "46174"}, {"ref": "icecube314/notebook5930017c38", "kernel_id": "108284"}, {"ref": "watermelon/notebook-ca2851bf0deed2f00ac7", "kernel_id": "44841"}, {"ref": "rzhang18/notebook-a40138c3445271261778", "kernel_id": "53859"}, {"ref": "kcalhoon/santander-starter", "kernel_id": "53843"}, {"ref": "adaaouak/notebook-d6c062a2f83b8d798d31", "kernel_id": "46907"}, {"ref": "ntdefreitas/santander", "kernel_id": "46081"}, {"ref": "gholami/basic-tensorflow-model", "kernel_id": "56213"}, {"ref": "gholami/notebook-16a3df33175426149d20", "kernel_id": "56949"}, {"ref": "nileshbhoyar/notebook-ce327dc18f486704ffd7", "kernel_id": "51780"}, {"ref": "alexbird99/95273q", "kernel_id": "46051"}, {"ref": "danycold/xgb-feat-selection-and-param-tuning", "kernel_id": "248216"}, {"ref": "erikapat/notebook-2ace3c6c34d8f5a47a6f", "kernel_id": "46964"}, {"ref": "avidadollars/exploring-features", "kernel_id": "57411"}, {"ref": "elhamdaouiabdelmajid/notebookb601273d78", "kernel_id": "123466"}, {"ref": "stunner1608/notebook-d831265d071d7ab94d57", "kernel_id": "75564"}, {"ref": "saisravith/notebook-2a8a430f42cb7bca2c65", "kernel_id": "58868"}, {"ref": "saisravith/notebook-4e63a527f5a5227d5888", "kernel_id": "58890"}, {"ref": "admitry/santander", "kernel_id": "51696"}, {"ref": "anuraagsridhar/first-run-testing-of-learning", "kernel_id": "44704"}, {"ref": "fedoreme69/xgboost-feat-lr-py", "kernel_id": "64519"}, {"ref": "fedoreme69/xgboost-lr", "kernel_id": "64520"}, {"ref": "tonylin/notebook-4ce1018222a875bc60c0", "kernel_id": "57633"}, {"ref": "puneeth/notebook-8457567c13ac33a78aca", "kernel_id": "56469"}, {"ref": "anicolau/notebook-90cfbd0d2dcefa81da6f", "kernel_id": "53695"}, {"ref": "fiveftalmost2/xgboost-with-early-stopping", "kernel_id": "50258"}, {"ref": "ghabbit/notebook-e370b6b9cc7ead480caf", "kernel_id": "55657"}, {"ref": "jjjjbbbbb/santander-starter", "kernel_id": "45029"}, {"ref": "jjjjbbbbb/notebook-7d20f1bcd2d0103d9bbc", "kernel_id": "50607"}, {"ref": "jjjjbbbbb/notebook-4fe238072e3f5bf3ab67", "kernel_id": "50608"}, {"ref": "jjjjbbbbb/notebook-39d86ea4a14a87146369", "kernel_id": "50611"}, {"ref": "jjjjbbbbb/notebook-ab9756dc35a88f631a09", "kernel_id": "50604"}, {"ref": "jjjjbbbbb/notebook-c14fb3689f4054e8bef8", "kernel_id": "50619"}, {"ref": "trhtran/exploring-features", "kernel_id": "57408"}, {"ref": "omarelgabry/santander-correlation-predictions", "kernel_id": "47644"}, {"ref": "andysnu/notebook-c6ff8b61af4be06add39", "kernel_id": "43860"}, {"ref": "aless80/notebook-70456d3303ae66c2bd39", "kernel_id": "51118"}, {"ref": "namhoan/notebook-fd351f4ea2f96fd60fed", "kernel_id": "51943"}, {"ref": "danieleewww/advanced-feature-exploration", "kernel_id": "55342"}, {"ref": "danieleewww/notebook-b5ac6cd70ec27191367c", "kernel_id": "55358"}, {"ref": "danieleewww/notebook-aad2de2778a2a78eca18", "kernel_id": "55392"}, {"ref": "danieleewww/notebook-9a32a01728f92b0af1a0", "kernel_id": "55396"}, {"ref": "danieleewww/santander-v9", "kernel_id": "54800"}, {"ref": "bluelight773/getting-into-the-r-revolution-action", "kernel_id": "58301"}, {"ref": "tendlya/exploring-features", "kernel_id": "75206"}, {"ref": "kaiyuanf/random-forest", "kernel_id": "54240"}, {"ref": "the0u75ider/notebook-cb4ec6ef03bd0fcb5a8d", "kernel_id": "55143"}, {"ref": "beedata/exploring-features", "kernel_id": "54508"}, {"ref": "beedata/notebook-f079de339d4a6f502eae", "kernel_id": "54384"}, {"ref": "beedata/notebook-9d56f752db29e2a65002", "kernel_id": "54385"}, {"ref": "beedata/notebook-6e0f801bd8230092396a", "kernel_id": "54386"}, {"ref": "beedata/notebook-bda204b870fe7de0babf", "kernel_id": "54374"}, {"ref": "beedata/ddddd", "kernel_id": "54375"}, {"ref": "beedata/advanced-feature-exploration", "kernel_id": "54367"}, {"ref": "beedata/notebook-ca9c210c7664af960d88", "kernel_id": "54368"}, {"ref": "beedata/notebook-70323c40fcb3bc4b9e4a", "kernel_id": "54369"}, {"ref": "beedata/notebook-10701e34b822748fba84", "kernel_id": "54370"}, {"ref": "beedata/notebook-227b31092b8483c15eb4", "kernel_id": "56641"}, {"ref": "beedata/notebook-bdd3b5a42462f9ab9116", "kernel_id": "56642"}, {"ref": "beedata/notebook-95e2849fe7b566f5b847", "kernel_id": "57025"}, {"ref": "face1e55/exploring-features", "kernel_id": "59287"}, {"ref": "huisun/notebook-2b322d81514574c01804", "kernel_id": "60601"}, {"ref": "ctrlaltdelete/nn-script", "kernel_id": "46659"}, {"ref": "russosj/exploring-features", "kernel_id": "56309"}, {"ref": "shashwat12/result-customer-satisfaction", "kernel_id": "56392"}, {"ref": "pnecchi/notebook-65b8021cb6d61c5642d2", "kernel_id": "48272"}, {"ref": "lz890414/testxgb", "kernel_id": "50266"}, {"ref": "lz890414/xgb-lalala", "kernel_id": "50526"}, {"ref": "bahrim/notebook-9abb159cbbb06b430a2e", "kernel_id": "49505"}, {"ref": "caspik/data-explore", "kernel_id": "53428"}, {"ref": "zfturbo/to-the-top-use-for-1st-sub", "kernel_id": "59133"}, {"ref": "zfturbo/to-the-top-v3", "kernel_id": "57932"}, {"ref": "zfturbo/to-the-top-v2", "kernel_id": "57924"}, {"ref": "zfturbo/people-with-loans-never-complain", "kernel_id": "57336"}, {"ref": "zfturbo/feature-ranges", "kernel_id": "57417"}, {"ref": "zfturbo/to-the-top", "kernel_id": "57581"}, {"ref": "zfturbo/xgb-lalala", "kernel_id": "50423"}, {"ref": "yangreal1991/showing-the-list", "kernel_id": "48886"}, {"ref": "yangreal1991/run-other-s-code-by-tuning", "kernel_id": "48894"}, {"ref": "josephpr/notebook-02d7ca74bdafb607ad9c", "kernel_id": "43889"}, {"ref": "josephpr/notebook-18063f69dbbc2a983703", "kernel_id": "43890"}, {"ref": "josephpr/notebook-4b59ca3179d987887c65", "kernel_id": "43892"}, {"ref": "josephpr/santander-starter", "kernel_id": "43893"}, {"ref": "josephpr/notebook-637c3e5a415c73d70f5b", "kernel_id": "43944"}, {"ref": "josephpr/notebook-9db0732161c702c06829", "kernel_id": "44533"}, {"ref": "josephpr/notebook-1907ce6d02527ead36b6", "kernel_id": "44579"}, {"ref": "sachintyagi/notebook-e2d3097d91a1cacf4e55", "kernel_id": "52771"}, {"ref": "sachintyagi/basic-feature-exploration", "kernel_id": "53796"}, {"ref": "dsx1986/notebook-9f11a3ec6b0fb965cf15", "kernel_id": "44687"}, {"ref": "dsx1986/basic-feature-exploration", "kernel_id": "49765"}, {"ref": "dy11402/xgb-lalala", "kernel_id": "53656"}, {"ref": "hariinuganti/basic-feature-exploration", "kernel_id": "51107"}, {"ref": "animesh371/pipeline", "kernel_id": "55880"}, {"ref": "animesh371/script-santander", "kernel_id": "52375"}, {"ref": "animesh371/dataanalysis-1", "kernel_id": "54214"}, {"ref": "animesh371/notebook-670d06c09cca72f84c7a", "kernel_id": "54224"}, {"ref": "animesh371/notebook-fddbe1f095c7ebaefc6a", "kernel_id": "54225"}, {"ref": "animesh371/santander-pca", "kernel_id": "54483"}, {"ref": "animesh371/final-solution", "kernel_id": "59700"}, {"ref": "chmwww/exploring-features", "kernel_id": "56907"}, {"ref": "aissaelouafi/notebook-3450b715ef79ff5293f4", "kernel_id": "47634"}, {"ref": "aissaelouafi/simple-ensemble-method", "kernel_id": "49369"}, {"ref": "aissaelouafi/notebook-55a08ecb575ffc0484e7", "kernel_id": "49370"}, {"ref": "aissaelouafi/notebook-04cfcbf3d70b1babe3e5", "kernel_id": "49371"}, {"ref": "youshu/xgb-lalala-cap-lims", "kernel_id": "55356"}, {"ref": "yananwu/notebook87e4707b6d", "kernel_id": "193595"}, {"ref": "el2015/notebook-fff58d7648cd18f9960f", "kernel_id": "49294"}, {"ref": "chugchig/notebook-a6961bd5a9cbdc947c2b", "kernel_id": "57345"}, {"ref": "chugchig/notebook-7317e52a71e48274c694", "kernel_id": "57346"}, {"ref": "chugchig/notebook-66f8bfe1170e3fbfdd09", "kernel_id": "57349"}, {"ref": "chugchig/notebook-5be4765d1960835ffb04", "kernel_id": "57350"}, {"ref": "chugchig/notebook-237ebaa18a0d2e482bdd", "kernel_id": "57351"}, {"ref": "cdknox/notebook-4537cb0fc6cc5cfe9a45", "kernel_id": "48375"}, {"ref": "javidiaz/pca-xgbosst", "kernel_id": "49954"}, {"ref": "javidiaz/notebook-08216db7b0e48f00529e", "kernel_id": "49955"}, {"ref": "javidiaz/xgbost-v8", "kernel_id": "52196"}, {"ref": "javidiaz/notebook-aa433528f5952525b13c", "kernel_id": "52213"}, {"ref": "javidiaz/xgbost-v6", "kernel_id": "52059"}, {"ref": "javidiaz/xgbost-v7", "kernel_id": "52060"}, {"ref": "javidiaz/xgb-v1", "kernel_id": "51221"}, {"ref": "javidiaz/xgbost-v5", "kernel_id": "51867"}, {"ref": "javidiaz/try-smote", "kernel_id": "51871"}, {"ref": "javidiaz/notebook-388d787c065f6ce4d87d", "kernel_id": "51849"}, {"ref": "javidiaz/xgbost-v4", "kernel_id": "51853"}, {"ref": "javidiaz/try-svm", "kernel_id": "51581"}, {"ref": "javidiaz/xgbost-v2", "kernel_id": "51607"}, {"ref": "javidiaz/tomeklink-xgb", "kernel_id": "55774"}, {"ref": "javidiaz/notebook-e88deb73f6b42bde80f6", "kernel_id": "56113"}, {"ref": "javidiaz/xgbost-v16", "kernel_id": "57200"}, {"ref": "javidiaz/xgbost-v21", "kernel_id": "58626"}, {"ref": "javidiaz/pca-xgb-logvar38", "kernel_id": "62517"}, {"ref": "javidiaz/enn-tomeklink-xb", "kernel_id": "63381"}, {"ref": "javidiaz/extratrees", "kernel_id": "67267"}, {"ref": "javidiaz/xgbost-outliers-var15", "kernel_id": "71969"}, {"ref": "javidiaz/obtain-all-public-score", "kernel_id": "74881"}, {"ref": "javidiaz/solapamiento-3d", "kernel_id": "75705"}, {"ref": "kiran1295/santander-starter", "kernel_id": "44733"}, {"ref": "massimilianom/notebook-d9d6bf907730d43d643d", "kernel_id": "55843"}, {"ref": "insaff/santander-starter", "kernel_id": "47613"}, {"ref": "insaff/santander-classify-customers-xgb", "kernel_id": "47588"}, {"ref": "insaff/notebook-81eba699f1a09738d10e", "kernel_id": "47329"}, {"ref": "insaff/santander-classify-customers-modified", "kernel_id": "47331"}, {"ref": "firmino/notebook-f0737c0951891442ae40", "kernel_id": "45236"}, {"ref": "superqing/exploring-features", "kernel_id": "51413"}, {"ref": "superqing/notebook-1fc8dde18774052df32d", "kernel_id": "51404"}, {"ref": "superqing/notebook-d8594592067e05908010", "kernel_id": "51405"}, {"ref": "superqing/notebook-eec63a4313d1bf84db30", "kernel_id": "53015"}, {"ref": "superqing/data-exploration", "kernel_id": "53016"}, {"ref": "beghtesadi/basic-feature-exploration", "kernel_id": "59789"}, {"ref": "beghtesadi/exploring-features", "kernel_id": "59659"}, {"ref": "dymytr/notebook-6f5522b69ff06e62fc70", "kernel_id": "69065"}, {"ref": "dymytr/notebook-5b4aeaafbac61a78b388", "kernel_id": "69066"}, {"ref": "dymytr/notebook-16dff94b5955271a8617", "kernel_id": "67308"}, {"ref": "dymytr/notebook-0869037fca98aba0b378", "kernel_id": "67309"}, {"ref": "dymytr/notebook-ce542dfe4c2adbb93f5a", "kernel_id": "67094"}, {"ref": "dymytr/notebook-ae5454045daa3dc1982a", "kernel_id": "67095"}, {"ref": "dymytr/customersatisfaction-v1", "kernel_id": "66375"}, {"ref": "dymytr/model-and-feature-selection-with-python", "kernel_id": "66379"}, {"ref": "dymytr/exploring-features", "kernel_id": "70335"}, {"ref": "dymytr/notebook-6efd0b6a6348770814d3", "kernel_id": "70324"}, {"ref": "dymytr/notebook-2d2ba41e5835738a5da3", "kernel_id": "70325"}, {"ref": "dymytr/notebook-966705f02ec8c35a0760", "kernel_id": "69216"}, {"ref": "dymytr/notebook-aa3b148b1b45b977bf68", "kernel_id": "69217"}, {"ref": "dymytr/notebook-650341e6018469f11ad0", "kernel_id": "69229"}, {"ref": "dymytr/basic-feature-exploration", "kernel_id": "69224"}, {"ref": "dymytr/notebook-43892b2fda6131da198b", "kernel_id": "69231"}, {"ref": "dymytr/notebook-aad9215995f314af1528", "kernel_id": "65265"}, {"ref": "mikefischer/notebook-3ef5c3c2c5629497fa8a", "kernel_id": "56627"}, {"ref": "mikefischer/notebook-1be3ee516aac544677ea", "kernel_id": "56628"}, {"ref": "mikefischer/xgb-lalala-cap-lims-pca", "kernel_id": "56629"}, {"ref": "xujing8885/basic-tensorflow-model", "kernel_id": "57629"}, {"ref": "ecow1338/notebook-1c252bf84d87eabaf79a", "kernel_id": "71307"}, {"ref": "ecow1338/exploring-features", "kernel_id": "58229"}, {"ref": "anneliesvroman/cv-xgboost", "kernel_id": "55466"}, {"ref": "ma31sr/notebook-4e92254a83d52971fd85", "kernel_id": "53284"}, {"ref": "ma31sr/test1-to-start", "kernel_id": "53285"}, {"ref": "ma31sr/notebook-91ecb314fd0e2e0f19e9", "kernel_id": "53287"}, {"ref": "sanjaykrishna/customers-data", "kernel_id": "48083"}, {"ref": "dusj1993/data-exploration", "kernel_id": "48225"}, {"ref": "dusj1993/model-and-feature-selection-with-python", "kernel_id": "48495"}, {"ref": "druzizlisu/notebook-ad4c798eb7b56e438e79", "kernel_id": "44587"}, {"ref": "jfconavarrete/notebook-548f82e2ed2b3216adee", "kernel_id": "48377"}, {"ref": "jfconavarrete/notebook-e792a7a4a825f10dd885", "kernel_id": "48369"}, {"ref": "dte128/notebook-f92807477d2181303e97", "kernel_id": "51688"}, {"ref": "zihaoxu/notebook-837eec9351d61fbf2abb", "kernel_id": "53996"}, {"ref": "rlomascolo/notebook-e2167400db78d0102360", "kernel_id": "49937"}, {"ref": "rlomascolo/data-exploration", "kernel_id": "45954"}, {"ref": "yalinzhu/notebook-d57de552e86feb65a637", "kernel_id": "51065"}, {"ref": "yearnyeen/exploring-features", "kernel_id": "58862"}, {"ref": "yanyangbaobei/notebook-1303ad8502f61bd82fad", "kernel_id": "56271"}, {"ref": "sergionovic/pca-and-k-means", "kernel_id": "64333"}, {"ref": "sergionovic/notebook-661f835d74f600cc59eb", "kernel_id": "64352"}, {"ref": "sergionovic/notebook-f51ae21c8d7efb8754f9", "kernel_id": "64371"}, {"ref": "thomaskahn/notebook-e2a4d56b2fe0427cbd20", "kernel_id": "44965"}, {"ref": "moabdi/logistic-regression", "kernel_id": "60336"}, {"ref": "rspadim/adversarial-validation-santander", "kernel_id": "410998"}, {"ref": "ben07824/data-exploration", "kernel_id": "50504"}, {"ref": "ben07824/notebook-e5a913ee93276503511b", "kernel_id": "50505"}, {"ref": "mastepau/notebook-cff81d3416e77a85ca04", "kernel_id": "53678"}, {"ref": "kai06046/notebook-24909602e37d921858b5", "kernel_id": "48180"}, {"ref": "kai06046/notebook-95bd60920159ef97077f", "kernel_id": "51419"}, {"ref": "yossico/xgboost-after-removal-columns-std-0", "kernel_id": "44868"}, {"ref": "yangha/notebook-3600b09cc1de5af53118", "kernel_id": "49066"}, {"ref": "fentwer/notebook-ff9e93fb8bf382dfb3ff", "kernel_id": "46301"}, {"ref": "fentwer/notebook-cae029b39ada95e76ec9", "kernel_id": "53983"}, {"ref": "fentwer/notebook-8eb8fe6231314540925a", "kernel_id": "54195"}, {"ref": "fentwer/notebook-e32a05b1ea50db5bc43f", "kernel_id": "54196"}, {"ref": "erikreppel/santander-logistic-regression", "kernel_id": "47971"}, {"ref": "erikreppel/santander-customer-sentiment", "kernel_id": "47913"}, {"ref": "shapinb/model-and-feature-selection-with-python", "kernel_id": "47734"}, {"ref": "shapinb/basic-feature-exploration", "kernel_id": "50074"}, {"ref": "shapinb/notebook-349f1ee3f356d954d510", "kernel_id": "52467"}, {"ref": "shapinb/testt", "kernel_id": "52468"}, {"ref": "liushengyuan/notebook-9104d0c4158b371b1ad9", "kernel_id": "48951"}, {"ref": "liushengyuan/try-1st-time", "kernel_id": "49818"}, {"ref": "manels/generalized-linear-model", "kernel_id": "58096"}, {"ref": "manels/xgb-10-features", "kernel_id": "55784"}, {"ref": "manels/simulating-lb", "kernel_id": "56416"}, {"ref": "wwwjk366/0-69-subsample", "kernel_id": "49941"}, {"ref": "wwwjk366/to-the-top", "kernel_id": "57746"}, {"ref": "wwwjk366/enteratittle", "kernel_id": "59639"}, {"ref": "tracknut/notebook-379dee6c22c12fa13f6f", "kernel_id": "46653"}, {"ref": "xunqiu/notebook-cf93634d5c89ce92f604", "kernel_id": "50066"}, {"ref": "markfchpman/notebook-75aa117c49de0e1c0564", "kernel_id": "52431"}, {"ref": "hsayus/notebook-e05042d23663f15a8b51", "kernel_id": "64299"}, {"ref": "rdslater/xgb-visualize-results", "kernel_id": "56953"}, {"ref": "dudenko/santander-exploratory", "kernel_id": "109250"}, {"ref": "dudenko/exploring-features", "kernel_id": "109264"}, {"ref": "eoghanf/notebook-327755f3fe728553efa9", "kernel_id": "43882"}, {"ref": "alexanderhanboli/xgb-lalala", "kernel_id": "51160"}, {"ref": "vinchu/customersatisfaction", "kernel_id": "54478"}, {"ref": "vinchu/exploring-features", "kernel_id": "55109"}, {"ref": "andreylygun/test1", "kernel_id": "44855"}, {"ref": "andreylygun/simple-test", "kernel_id": "44857"}, {"ref": "nitinsurya/basic-feature-exploration", "kernel_id": "54728"}, {"ref": "jashimbd/notebook-e7d44dd36c7d8b4bbe5e", "kernel_id": "55106"}, {"ref": "mritunjaykar/santander-starter", "kernel_id": "44727"}, {"ref": "aviatorx/notebook-ea285b0d828677106ba3", "kernel_id": "60060"}, {"ref": "aviatorx/notebook-6f58a85aec1b0a18602f", "kernel_id": "61451"}, {"ref": "whitehiggs/notebook-06b0a0db78730742b16a", "kernel_id": "51793"}, {"ref": "whitehiggs/xgb-lalala", "kernel_id": "51787"}, {"ref": "pik000/notebook-3ebe2b6b7d02d50c1e0b", "kernel_id": "47737"}, {"ref": "pik000/notebook-836b1759a640ce7c91ee", "kernel_id": "47738"}, {"ref": "tmoulik/notebook-8cee37eb59e847574f55", "kernel_id": "45699"}, {"ref": "tmoulik/notebook-acf74a9abefd4f3421ef", "kernel_id": "60068"}, {"ref": "tmoulik/notebook-fb720e8d4319fa182426", "kernel_id": "60063"}, {"ref": "tmoulik/notebook-97c10c3734e234cd641e", "kernel_id": "60064"}, {"ref": "maoyue2004/notebook-63bd2e144bb668c3ef75", "kernel_id": "45615"}, {"ref": "maoyue2004/data-exploration", "kernel_id": "45602"}, {"ref": "maoyue2004/notebook-253fbd6a81ee1120a301", "kernel_id": "45605"}, {"ref": "maoyue2004/notebook-6bc0be665357eb9e15cc", "kernel_id": "45606"}, {"ref": "maoyue2004/notebook-8041ecbd541cb6177cb1", "kernel_id": "45607"}, {"ref": "maoyue2004/notebook-8db51cd290d3d0355f51", "kernel_id": "45610"}, {"ref": "maoyue2004/notebook-cebbc3cb08443ed7ba57", "kernel_id": "45611"}, {"ref": "maoyue2004/notebook-90e9f688b713770085bd", "kernel_id": "45612"}, {"ref": "maoyue2004/notebook-2fb43a112b3bc35f254b", "kernel_id": "45613"}, {"ref": "maoyue2004/notebook-8210fe9b5027f19acfc5", "kernel_id": "45981"}, {"ref": "maoyue2004/notebook-7ee96f55b48362820b26", "kernel_id": "45982"}, {"ref": "maoyue2004/exploring-features", "kernel_id": "55371"}, {"ref": "maoyue2004/notebook-a2070e8b8e15e61cfa54", "kernel_id": "58247"}, {"ref": "maoyue2004/notebook-bcd42ee5eb07acdfa411", "kernel_id": "58159"}, {"ref": "maoyue2004/notebook-855f04580a4e26da5b5d", "kernel_id": "58160"}, {"ref": "maoyue2004/notebook-622fc401625c10357301", "kernel_id": "58162"}, {"ref": "kargee2009/advanced-feature-exploration", "kernel_id": "55363"}, {"ref": "kargee2009/notebook-727e5b873b3255b2f2c1", "kernel_id": "55443"}, {"ref": "vbsoler/notebook-dfaf8c3b56e04413cf1f", "kernel_id": "51892"}, {"ref": "grimmy/notebook-2ad5090e8cedb3bdf7de", "kernel_id": "56930"}, {"ref": "alvinstars/some-demo", "kernel_id": "48918"}, {"ref": "alvinstars/notebook-d792b1c9293afae3c5d6", "kernel_id": "48441"}, {"ref": "ashokdibbada/notebook-dd0edb68ea87c93a544e", "kernel_id": "46583"}, {"ref": "katarz/notebook-68fdad8e4cb7d89cceb9", "kernel_id": "51329"}, {"ref": "katarz/notebook-6b493683a4dcdf217a3c", "kernel_id": "51153"}, {"ref": "katarz/notebook-6d18dd74779044860d9c", "kernel_id": "50939"}, {"ref": "katarz/notebook-90be4fbd6e18d0e8e635", "kernel_id": "50943"}, {"ref": "katarz/notebook-1fd683f6c0d54e770c1d", "kernel_id": "50823"}, {"ref": "andrewc94/notebook-8000902d046ec95f5306", "kernel_id": "54696"}, {"ref": "andrewc94/first", "kernel_id": "54697"}, {"ref": "harshilshah611/hello", "kernel_id": "53635"}, {"ref": "kjacks21/notebook-4f8e0e4f6943382eff66", "kernel_id": "47665"}, {"ref": "kjacks21/randomforest", "kernel_id": "47666"}, {"ref": "walterhan/similar-variable-groupings", "kernel_id": "45500"}, {"ref": "walterhan/notebook-eda235090d088f86358d", "kernel_id": "45505"}, {"ref": "walterhan/notebook-fe2ac32a8ad681f0f779", "kernel_id": "45506"}, {"ref": "liviux/notebook-a43c903cb36aa20a4918", "kernel_id": "50992"}, {"ref": "liviux/notebook-7d51c07c7cc9c1a8e3db", "kernel_id": "50867"}, {"ref": "liviux/what-s-saldo-var30", "kernel_id": "50868"}, {"ref": "eymaros/asd223", "kernel_id": "44159"}, {"ref": "eymaros/using-10x-less-ram", "kernel_id": "44160"}, {"ref": "arjoonn/lb-0-84-for-starters-score-test", "kernel_id": "51145"}, {"ref": "arjoonn/outlier-analysis", "kernel_id": "51002"}, {"ref": "arjoonn/advanced-feature-exploration", "kernel_id": "51666"}, {"ref": "arjoonn/regression-investigation", "kernel_id": "47824"}, {"ref": "arjoonn/notebook-a6b030f1193b09f2d756", "kernel_id": "47801"}, {"ref": "arjoonn/notebook-ad974186d1f1b3e4ab6d", "kernel_id": "48046"}, {"ref": "arjoonn/notebook-a5a464ac2e488bca0ffd", "kernel_id": "48048"}, {"ref": "arjoonn/notebook-7852ec7e93df31fdb8be", "kernel_id": "48052"}, {"ref": "arjoonn/notebook-2284634ea9ea216e544c", "kernel_id": "50896"}, {"ref": "arjoonn/notebook-867c9fa3e852a787b2db", "kernel_id": "46184"}, {"ref": "viktxn/xgb-lalala-cap-lims", "kernel_id": "55315"}, {"ref": "terencelimzw/exploring-features", "kernel_id": "101815"}, {"ref": "kabrapratik28/testsantander", "kernel_id": "48279"}, {"ref": "dqmind/exploring-features", "kernel_id": "50455"}, {"ref": "wzq94qzw/notebook-cadd113e031bd12052b9", "kernel_id": "51918"}, {"ref": "hbghhy/random-forest-parameter1", "kernel_id": "46361"}, {"ref": "hbghhy/xgboost-test", "kernel_id": "46045"}, {"ref": "sjtudesigner/lb-0-84-for-starters", "kernel_id": "49869"}, {"ref": "sjtudesigner/pca-svm-1", "kernel_id": "47104"}, {"ref": "sjtudesigner/adaboost", "kernel_id": "57578"}, {"ref": "beakkim/notebook-25fa0b9004d8f80d352a", "kernel_id": "48742"}, {"ref": "juliensb137/exploring-features", "kernel_id": "55278"}, {"ref": "yonzhang/advanced-feature-exploration", "kernel_id": "52290"}, {"ref": "yonzhang/notebook-a2b2ddb5710136e5ad97", "kernel_id": "52306"}, {"ref": "yonzhang/notebook-92bd8491079d77541c7a", "kernel_id": "52303"}, {"ref": "yonzhang/notebook-17cb0f9583ffd474bfa4", "kernel_id": "52304"}, {"ref": "yonzhang/notebook-1b27660e7ae15ebe8fff", "kernel_id": "52298"}, {"ref": "knitcode/exploring-features", "kernel_id": "55340"}, {"ref": "knitcode/notebook-5a524f6396cf336a291a", "kernel_id": "55341"}, {"ref": "knitcode/notebook-e65c7f6e134889b40d0a", "kernel_id": "55681"}, {"ref": "ogrellier/first-step", "kernel_id": "52295"}, {"ref": "ogrellier/xgb-first-step", "kernel_id": "54792"}, {"ref": "joshuacook/notebook-4894d0b7611cd7d67461", "kernel_id": "51782"}, {"ref": "odomanska/exploring-features", "kernel_id": "62002"}, {"ref": "vikasmohandoss/notebook-9b7d65b2a7c639f57784", "kernel_id": "49318"}, {"ref": "shashy/shashwat", "kernel_id": "48944"}, {"ref": "felamine/notebook3cf21e8ac8", "kernel_id": "190929"}, {"ref": "chenhlcasiop/notebook-3fc9247872e0a657e0ed", "kernel_id": "49975"}, {"ref": "chenhlcasiop/notebook-83b3dfb51ba84b6eb1e1", "kernel_id": "49977"}, {"ref": "chenhlcasiop/notebook-0904e0b570f1de720299", "kernel_id": "50054"}, {"ref": "chenhlcasiop/notebook-ea54842e92f63220a27a", "kernel_id": "50183"}, {"ref": "chenhlcasiop/notebook-4c2d7ed5390b98be89b5", "kernel_id": "50184"}, {"ref": "chenhlcasiop/notebook-cebcbae98838b96ddf1e", "kernel_id": "51121"}, {"ref": "anesbendimerad/notebook-bc74a34e25e347eb30d4", "kernel_id": "46458"}, {"ref": "gossceo/test-source", "kernel_id": "49416"}, {"ref": "andreygr/santander-starter", "kernel_id": "47272"}, {"ref": "imandvb/xgb-lalala", "kernel_id": "53353"}, {"ref": "imandvb/advanced-feature-exploration", "kernel_id": "52634"}, {"ref": "imandvb/xgb-lalala-cap-lims", "kernel_id": "55961"}, {"ref": "imandvb/to-the-top-v3a", "kernel_id": "59177"}, {"ref": "hermit84/0-8-auc", "kernel_id": "57500"}, {"ref": "hermit84/notebook-d412b1e8ee921dc87d09", "kernel_id": "56818"}, {"ref": "hermit84/notebook-2178621ec59bb21428f9", "kernel_id": "56811"}, {"ref": "hermit84/advanced-feature-exploration", "kernel_id": "53532"}, {"ref": "fonzik/notebook-971ab46aeeb4fdf2894a", "kernel_id": "51492"}, {"ref": "aguerrera/people-with-loans-never-complain", "kernel_id": "59680"}, {"ref": "aguerrera/notebook-9bb40e0f44960ed9d341", "kernel_id": "55353"}, {"ref": "phphong/exploring-features", "kernel_id": "61691"}, {"ref": "phphong/notebook-390dbc570292cbc032e2", "kernel_id": "61693"}, {"ref": "labon2016/exploring-features", "kernel_id": "58233"}, {"ref": "fightting/dasdf-py", "kernel_id": "47983"}, {"ref": "anokas/simple-mathematical-model-0-713", "kernel_id": "59047"}, {"ref": "anokas/randomstuff", "kernel_id": "59102"}, {"ref": "anokas/just-over-fitted-xgb", "kernel_id": "59106"}, {"ref": "anokas/remove-useless-columns", "kernel_id": "43998"}, {"ref": "anokas/notebook-b3b14ab20d1ef22182d3", "kernel_id": "44354"}, {"ref": "anokas/xgb-lalala-in-python", "kernel_id": "50447"}, {"ref": "anokas/xgb-with-validation-set", "kernel_id": "52801"}, {"ref": "anokas/tensorflow-test", "kernel_id": "52589"}, {"ref": "ak5191/notebook-43482c27214cccd8de11", "kernel_id": "51396"}, {"ref": "dakar91/exploring-features", "kernel_id": "51707"}, {"ref": "dakar91/notebook-100e80a542b26cd398ec", "kernel_id": "52361"}, {"ref": "dakar91/notebook-807621a6ec6be16e5c96", "kernel_id": "56899"}, {"ref": "dakar91/notebook-ede14417752ae5f077ec", "kernel_id": "57069"}, {"ref": "dakar91/notebook-e71a50029ce78c3e84ab", "kernel_id": "61068"}, {"ref": "dakar91/notebook-1857a99f73b9b52f6db7", "kernel_id": "58990"}, {"ref": "peterthiem/getting-into-the-r-revolution-action", "kernel_id": "58547"}, {"ref": "vamsigv/notebook-ee93b4653e8c2a151824", "kernel_id": "50174"}, {"ref": "vamsigv/notebook-4b10a0bae2ac47d64211", "kernel_id": "50176"}, {"ref": "labrab/exploring-features", "kernel_id": "56177"}, {"ref": "labrab/notebook-eaa81f8cbcee96e4603a", "kernel_id": "56179"}, {"ref": "cmichael/notebook-0e1d7356c0595e5a9d05", "kernel_id": "46116"}, {"ref": "jeremychan17/notebook-065b8dd69c7bffe324ae", "kernel_id": "71815"}, {"ref": "porcej/xgb-lalala", "kernel_id": "52923"}, {"ref": "porcej/xgb-seed", "kernel_id": "52926"}, {"ref": "kaesava/sample", "kernel_id": "55720"}, {"ref": "frankarp/basic-tensorflow-model", "kernel_id": "51261"}, {"ref": "frankarp/data-splitting-notebook", "kernel_id": "49579"}, {"ref": "camontanezp/notebook-26e37eb4ca80b72eefae", "kernel_id": "47506"}, {"ref": "rishikksh20/basic-analysis-1", "kernel_id": "44790"}, {"ref": "rishikksh20/basic-data-analysis-and-prediction", "kernel_id": "44791"}, {"ref": "rishikksh20/notebook-204f208ac18a261a62f0", "kernel_id": "44779"}, {"ref": "rishikksh20/notebook-66256e4e12872e805284", "kernel_id": "45339"}, {"ref": "rishikksh20/basic-feature-exploration", "kernel_id": "52037"}, {"ref": "rishikksh20/advanced-feature-exploration", "kernel_id": "52038"}, {"ref": "establish/exploring-features", "kernel_id": "66235"}, {"ref": "establish/notebook-957ddb0e35897e2f2323", "kernel_id": "66253"}, {"ref": "establish/notebook-8730d3a4c3f91b67c534", "kernel_id": "66318"}, {"ref": "establish/notebook-eb4af69565f810891302", "kernel_id": "66307"}, {"ref": "establish/notebook-bfeb38e69055c8d8875e", "kernel_id": "66312"}, {"ref": "establish/notebook-f8a85ab13537523a01cc", "kernel_id": "66313"}, {"ref": "kdragonet/xgb-lalala", "kernel_id": "54041"}, {"ref": "zhulinn/notebook-3ddbea4239cd1d45d830", "kernel_id": "52443"}, {"ref": "fomge96/notebook-96693526edf2ecfb156d", "kernel_id": "58792"}, {"ref": "fabsod/customers-v2", "kernel_id": "59966"}, {"ref": "panpur/get-train-s-prediction-for-stacking", "kernel_id": "52006"}, {"ref": "zavodrobotov/python-xgb-lb-0-841047", "kernel_id": "76988"}, {"ref": "sarame/santander-starter-parameter-tune", "kernel_id": "52297"}, {"ref": "waffleboy/santander-starter-parameter-tune", "kernel_id": "48929"}, {"ref": "waffleboy/dimensionality-reduced-dataset", "kernel_id": "48964"}, {"ref": "acs3235/baseline-stacking-prep", "kernel_id": "60707"}, {"ref": "zfsang/advanced-feature-exploration", "kernel_id": "54131"}, {"ref": "zfsang/basic-tensorflow-model", "kernel_id": "54136"}, {"ref": "amdouni/xgboost-first-try", "kernel_id": "51332"}, {"ref": "awzurn/notebook-21adec273233507891c3", "kernel_id": "51278"}, {"ref": "robax99/notebook-47acb23912f1f7f45c18", "kernel_id": "51912"}, {"ref": "xyfengchris/notebook-483e0e91f4a195e38ef2", "kernel_id": "58307"}, {"ref": "hectorsi/notebook-f365690624652b9201cc", "kernel_id": "49390"}, {"ref": "hswater1/show-constant-and-duplicate-cols", "kernel_id": "59070"}, {"ref": "ibrahimsobh/0-83-score-with-36-features-only", "kernel_id": "50394"}, {"ref": "spmohanty/notebook-556decc94a3726008db3", "kernel_id": "44778"}, {"ref": "vodkabuaa/advanced-feature-exploration", "kernel_id": "84645"}, {"ref": "wangyujie/exploring-features", "kernel_id": "51864"}, {"ref": "wangyujie/advanced-feature-exploration", "kernel_id": "51832"}, {"ref": "wangyujie/notebook-570706da9fe0515f1086", "kernel_id": "52063"}, {"ref": "wangyujie/notebook-f21931351500ad792fe4", "kernel_id": "55703"}, {"ref": "vuongj/notebook-af1a22bd4661832e6757", "kernel_id": "54909"}, {"ref": "egalashin/notebook-6a96daa3011aff20cf01", "kernel_id": "43820"}, {"ref": "drfalcon/exploring-features", "kernel_id": "59044"}, {"ref": "neumann/santanderracelastchance", "kernel_id": "59792"}, {"ref": "naphazg/exploring-features", "kernel_id": "55216"}, {"ref": "laurae2/ratio-of-labels", "kernel_id": "56290"}, {"ref": "laurae2/can-t-reproduce-model-here-is-a-binary", "kernel_id": "59631"}, {"ref": "tdiwan/ntrial", "kernel_id": "59479"}, {"ref": "tdiwan/notebook-560219eb376d5ae2ebce", "kernel_id": "59480"}, {"ref": "tdiwan/to-the-top-v3", "kernel_id": "59475"}, {"ref": "tdiwan/notebook-81600d56000316a4d628", "kernel_id": "59477"}, {"ref": "tdiwan/correlation-pairs", "kernel_id": "59872"}, {"ref": "tdiwan/basic-feature-exploration", "kernel_id": "54959"}, {"ref": "tdiwan/notebook-75138640ca2269ca35d9", "kernel_id": "54975"}, {"ref": "sbuschbach/notebook-170873a587d677d25b46", "kernel_id": "44349"}, {"ref": "mcottenhoff/notebook-f02dfa71f1bd5800081b", "kernel_id": "51059"}, {"ref": "xiaofei/exploring-features", "kernel_id": "92544"}, {"ref": "ziwenguan/notebook-276d2fb5d4ce1db5a437", "kernel_id": "49989"}, {"ref": "ma350365879/exploring-features", "kernel_id": "55198"}, {"ref": "ma350365879/notebook-d345d5f95343f327fa24", "kernel_id": "55533"}, {"ref": "ma350365879/notebook-b71122f59fa96aad251c", "kernel_id": "55531"}, {"ref": "ma350365879/notebook-2eb2fb52c366284ef83b", "kernel_id": "55525"}, {"ref": "ma350365879/first-try", "kernel_id": "55526"}, {"ref": "ma350365879/notebook-52b4134de00ede559a94", "kernel_id": "57883"}, {"ref": "ma350365879/notebook-eecbc2c41f188e18acb3", "kernel_id": "57873"}, {"ref": "ma350365879/visualization", "kernel_id": "57874"}, {"ref": "ibarakaiev/notebook-86f8e13321f5b4416509", "kernel_id": "48008"}, {"ref": "zdzhengling/notebook-4e8a44de7e43394bf945", "kernel_id": "54239"}, {"ref": "gdeoghare/notebook-24afb45a892eb93a655d", "kernel_id": "58302"}, {"ref": "gdeoghare/notebook-a4bc8790b680eb5a249a", "kernel_id": "58304"}, {"ref": "performer/notebook-02c5ae52d93795e536b4", "kernel_id": "59109"}, {"ref": "performer/plain-ol-average", "kernel_id": "59110"}, {"ref": "arp135/notebook-32d14d33e583b5f03686", "kernel_id": "55018"}, {"ref": "tinosibanda/basic-feature-exploration", "kernel_id": "53053"}, {"ref": "oshadackc/exploring-features", "kernel_id": "56181"}, {"ref": "kashyap007/santander-r-script", "kernel_id": "50318"}, {"ref": "kashyap007/xgboost-with-early-stopping", "kernel_id": "49060"}, {"ref": "llallo26/notebook-bb09ebb0268341fba07d", "kernel_id": "57702"}, {"ref": "llallo26/xxxxx", "kernel_id": "57703"}, {"ref": "jacklongdon/exploring-features", "kernel_id": "56321"}, {"ref": "sidswarnkar/exploring-features", "kernel_id": "60511"}, {"ref": "williambenhaim/notebook-190248f3d03892a4e647", "kernel_id": "64871"}, {"ref": "giginim/santander-customer-satisfaction", "kernel_id": "45747"}, {"ref": "leoaguiar/notebook-fb085a9c484c9d3e42f7", "kernel_id": "53878"}, {"ref": "leoaguiar/notebook-1cadb9663cbf047c2f94", "kernel_id": "53879"}, {"ref": "aeithne/gr-mio2", "kernel_id": "53590"}, {"ref": "aeithne/notebook-57588903e72863c4926e", "kernel_id": "55538"}, {"ref": "aeithne/notebook-05c6a031d395311c4934", "kernel_id": "55539"}, {"ref": "aeithne/palmares", "kernel_id": "58336"}, {"ref": "aeithne/notebook-cff2f3c11cda2d191fe9", "kernel_id": "57708"}, {"ref": "aeithne/notebook-b79d7c5afe2d8cfa1052", "kernel_id": "57720"}, {"ref": "aeithne/notebook-79b1b841bc9f004d2773", "kernel_id": "57715"}, {"ref": "scborty/advanced-feature-exploration", "kernel_id": "52707"}, {"ref": "courivar/notebook-934237bc114238fc27a9", "kernel_id": "47871"}, {"ref": "courivar/notebook-50cbe828f53d5a4db909", "kernel_id": "47857"}, {"ref": "tonyzhangrt/exploring-features", "kernel_id": "56602"}, {"ref": "tonyzhangrt/lb-0-84-for-starters", "kernel_id": "45774"}, {"ref": "tonyzhangrt/notebook-afbab8e75d05349b94e0", "kernel_id": "45775"}, {"ref": "tonyzhangrt/notebook-e94f9f64a8cdc4f19e3e", "kernel_id": "45776"}, {"ref": "yoonyoung/notebook-f1d0b60e9cf75887a9f7", "kernel_id": "45071"}, {"ref": "datavadar/3004nonum4script-r", "kernel_id": "58977"}, {"ref": "danixx/notebook-4b78abd2b6f8a61ca3a2", "kernel_id": "46467"}, {"ref": "smilelemon/notebook-dd7b400162b000369eb9", "kernel_id": "50164"}, {"ref": "srikanthy/under-23-year-olds-are-always-happy", "kernel_id": "57198"}, {"ref": "prateekrs/exploring-features", "kernel_id": "59790"}, {"ref": "prateekrs/basic-tensorflow-model", "kernel_id": "60919"}, {"ref": "nielstordk/notebook-f02536751f452eac3098", "kernel_id": "45387"}, {"ref": "jmhehir/notebook-b664d2476117f0b6a25b", "kernel_id": "58203"}, {"ref": "etiennelm/data-exploration", "kernel_id": "48057"}, {"ref": "etiennelm/exploring-features", "kernel_id": "49682"}, {"ref": "etiennelm/notebook-8592b819ca29502662bd", "kernel_id": "49683"}, {"ref": "dukachan/notebook-dac217cac23a4e09de71", "kernel_id": "47974"}, {"ref": "dukachan/notebook-3e09ae94984ae1a5ec71", "kernel_id": "47969"}, {"ref": "rodrigoshow/notebook-a95a7b65e829afb862f3", "kernel_id": "55488"}, {"ref": "rodrigoshow/notebook-c14efcaf14df04b06cd8", "kernel_id": "55489"}, {"ref": "thefountainhead86/santander-1", "kernel_id": "48554"}, {"ref": "pakoun/rf-test2-r", "kernel_id": "44695"}, {"ref": "marceloccosta/teste1", "kernel_id": "55231"}, {"ref": "senthilcbe5/notebook-1030b082c79a1749647d", "kernel_id": "56273"}, {"ref": "senthilcbe5/santander", "kernel_id": "58417"}, {"ref": "zhenzicoco/notebook-f11c9d29bcf982da342d", "kernel_id": "53862"}, {"ref": "cazanova/notebook-7b6a8bf9787e28d2f76e", "kernel_id": "52969"}, {"ref": "mdavarynejad/xgb-lalala", "kernel_id": "55476"}, {"ref": "mdavarynejad/notebook-6ab43f366c08f7804217", "kernel_id": "53350"}, {"ref": "bmithun/notebook-8cbfdb1bf043f5bd8e17", "kernel_id": "64047"}, {"ref": "bmithun/exploring-features-practice", "kernel_id": "64129"}, {"ref": "bmithun/notebook-8ac7022fd341e68815d1", "kernel_id": "64152"}, {"ref": "bmithun/notebook-a593edec87cbb180b8ef", "kernel_id": "64157"}, {"ref": "bmithun/notebook-7623718ea6980aaec480", "kernel_id": "64736"}, {"ref": "bmithun/notebook-66e726539db287fd6f66", "kernel_id": "64499"}, {"ref": "dariusalaska/notebook-09b3f5cc6161608f72c3", "kernel_id": "49939"}, {"ref": "pganesha/basic-data-analysis-and-prediction", "kernel_id": "59461"}, {"ref": "pganesha/feature-ranges", "kernel_id": "59448"}, {"ref": "pganesha/exploring-features", "kernel_id": "59449"}, {"ref": "pganesha/notebook-02fbe1267808c0c875f5", "kernel_id": "60908"}, {"ref": "pganesha/notebook-af086719717677d55526", "kernel_id": "61111"}, {"ref": "pganesha/notebook-9ba2379e147dd0717c4a", "kernel_id": "61137"}, {"ref": "pganesha/notebook-cad52cdfba2adbcdc41e", "kernel_id": "61135"}, {"ref": "ezambrano/notebook-06320c0b230e5d8acf9a", "kernel_id": "54530"}, {"ref": "anandhpgcba/xgb-r", "kernel_id": "54775"}, {"ref": "thegallier3/notebook-4adedb8dbebe5f302a60", "kernel_id": "46919"}, {"ref": "luokai/exploring-features", "kernel_id": "89974"}, {"ref": "luokai/xgboost-with-early-stopping", "kernel_id": "90021"}, {"ref": "luokai/exploring-features-44c90370", "kernel_id": "90013"}, {"ref": "johnoconnell/xgboost-dm", "kernel_id": "54535"}, {"ref": "derek11/katest", "kernel_id": "45619"}, {"ref": "sanjib03/feat-selection-and-prediction-with-xgb-script", "kernel_id": "247230"}, {"ref": "sanjib03/feature-selection-and-random-forest", "kernel_id": "245923"}, {"ref": "sanjib03/xgb-feat-selection-and-param-tuning", "kernel_id": "245868"}, {"ref": "saurabhg653/notebook-3f6714f1fde8bab318d2", "kernel_id": "50158"}, {"ref": "chuijh/notebook-d8b7a0a0321d6001c6fa", "kernel_id": "48539"}, {"ref": "liuyanchen/111111", "kernel_id": "50773"}, {"ref": "liuyanchen/1111111", "kernel_id": "50788"}, {"ref": "liuyanchen/my-script-2", "kernel_id": "50758"}, {"ref": "liuyanchen/my-script", "kernel_id": "50733"}, {"ref": "liuyanchen/ok-i-come-againe-a", "kernel_id": "51842"}, {"ref": "liuyanchen/ok-i-come-againe", "kernel_id": "51007"}, {"ref": "liuyanchen/my-sciyan", "kernel_id": "50937"}, {"ref": "saniyawanhar/trial1", "kernel_id": "52296"}, {"ref": "mkakarla/santander", "kernel_id": "55246"}, {"ref": "mkakarla/notebook-be5a59712e7d4bad4eb9", "kernel_id": "54348"}, {"ref": "edmanley/notebook-743ea1a91cc7276816e3", "kernel_id": "44815"}, {"ref": "edmanley/notebook-a59a34ff301fc4368466", "kernel_id": "44817"}, {"ref": "natalyasokolovskya/notebook-c6b74fd7e9ad0c85a264", "kernel_id": "43867"}, {"ref": "alphalep/notebook-21fc5176bd843638a647", "kernel_id": "46688"}, {"ref": "alphalep/model-and-feature-selection-then-xgboos", "kernel_id": "46671"}, {"ref": "alphalep/neural-net-classifier", "kernel_id": "46700"}, {"ref": "tinahsu/notebook-b8116134e8fb412655b5", "kernel_id": "51445"}, {"ref": "tinahsu/xgb-lalala1", "kernel_id": "51446"}, {"ref": "mbiron/notebook-4e0c41515c61dbe1e498", "kernel_id": "43917"}, {"ref": "mbiron/notebook-8b8175f199cd615ba33e", "kernel_id": "43918"}, {"ref": "mbiron/first-try", "kernel_id": "43919"}, {"ref": "mbiron/notebook-7a0fef9d44b84f165549", "kernel_id": "43925"}, {"ref": "takeo1/notebook-0ca7ccc1e712dbdefedd", "kernel_id": "43948"}, {"ref": "ryanpream/basic-tensorflow-model", "kernel_id": "51119"}, {"ref": "ryanpream/to-the-top-v3", "kernel_id": "59164"}, {"ref": "dkotsiko/notebook-49c2e1c3689ea582714d", "kernel_id": "44006"}, {"ref": "ytang0225/notebook-433fd8076771316e3a2b", "kernel_id": "48092"}, {"ref": "doublel/notebook-65dfbab682b26e09987b", "kernel_id": "44240"}, {"ref": "husterwgm/xgb-engineer", "kernel_id": "52031"}, {"ref": "jjanna19/notebook-6b964fe270cb6f4c6e6d", "kernel_id": "48064"}, {"ref": "xiaoyehhuang/notebook-447a2c702f0621c71d03", "kernel_id": "52469"}, {"ref": "martijnde/exploring-features", "kernel_id": "54355"}, {"ref": "tdragon/data-exploration", "kernel_id": "45642"}, {"ref": "sntaus/happy-santander", "kernel_id": "45724"}, {"ref": "viveksarmar/highly-correlated-variables", "kernel_id": "44674"}, {"ref": "viveksarmar/santander-starter", "kernel_id": "47294"}, {"ref": "viveksarmar/santander-improved", "kernel_id": "47301"}, {"ref": "viveksarmar/santander-3", "kernel_id": "47376"}, {"ref": "eelxpeng/notebook-489a5db4ac52af52cb2b", "kernel_id": "44387"}, {"ref": "eelxpeng/notebook-ad445d4ff6ae0decb92b", "kernel_id": "46089"}, {"ref": "kiliant/notebook-34abf366794253c55639", "kernel_id": "44620"}, {"ref": "mehrtash/data-exploration", "kernel_id": "45006"}, {"ref": "frederic9/notebook-257c658fcb35d898b1af", "kernel_id": "56184"}, {"ref": "silviach/random-forest", "kernel_id": "55345"}, {"ref": "silviach/randomforestclassifier", "kernel_id": "55694"}, {"ref": "techieram/notebook-f6f3efb2b807a07d4a22", "kernel_id": "44793"}, {"ref": "techieram/santander-classify-customers-forked", "kernel_id": "46613"}, {"ref": "techieram/notebook-e64a134491aec450b48f", "kernel_id": "46801"}, {"ref": "techieram/notebook-573e92ac52dc66437e12", "kernel_id": "46827"}, {"ref": "techieram/notebook-dac46db32e6641a4c112", "kernel_id": "46828"}, {"ref": "techieram/notebook-c95c68342c0b785857c4", "kernel_id": "46856"}, {"ref": "techieram/notebook-5368ad88a635eaa5b019", "kernel_id": "47136"}, {"ref": "techieram/notebook-1936879698d2dda66c8d", "kernel_id": "47095"}, {"ref": "techieram/notebook-0243124060dc8efa7956", "kernel_id": "47080"}, {"ref": "jonaspu/stder", "kernel_id": "47455"}, {"ref": "elpeepirate/exploring-features", "kernel_id": "167995"}, {"ref": "yanchen036/notebook-9bfe0039d1d2ced34a51", "kernel_id": "46503"}, {"ref": "sumeshmadathil/notebook-c4c867da9b21feca0587", "kernel_id": "50755"}, {"ref": "changcw83/notebook-05d37438a1aea1d39aec", "kernel_id": "45063"}, {"ref": "changcw83/notebook-52dc81897924efb23ff3", "kernel_id": "45065"}, {"ref": "changcw83/notebook-a6c9bfb5ffcdb239223d", "kernel_id": "45067"}, {"ref": "willwang/exploring-features", "kernel_id": "59223"}, {"ref": "gwaves/notebook-9e5523f663ea35c107c7", "kernel_id": "55434"}, {"ref": "pankajxyz/first-test", "kernel_id": "47604"}, {"ref": "cmarchal/xgb-800-5", "kernel_id": "58017"}, {"ref": "dpombal/exploring-features", "kernel_id": "72605"}, {"ref": "bmacdatascience/notebook-80edd737f721c7472ef0", "kernel_id": "45779"}, {"ref": "navacaty/notebook-72c2662ebcd62f51f712", "kernel_id": "46020"}, {"ref": "gizard/notebook-685f659f316fcf2122de", "kernel_id": "45151"}, {"ref": "ninmuffin/to-the-top", "kernel_id": "58748"}, {"ref": "jroachel/pca-and-k-means", "kernel_id": "59670"}, {"ref": "jcireland/demo1", "kernel_id": "50036"}, {"ref": "anmutaka/info-r", "kernel_id": "53978"}, {"ref": "anmutaka/sample2", "kernel_id": "53994"}, {"ref": "anmutaka/sample", "kernel_id": "53964"}, {"ref": "jatinjansari/notebook-85ef0e59199ba9de9737", "kernel_id": "49184"}, {"ref": "skch17/notebook-690ee80169bb6f444f6a", "kernel_id": "45335"}, {"ref": "skch17/notebook-5aa206ffad05bef4a3f0", "kernel_id": "45336"}, {"ref": "forwardnetwork/notebook-052ab3a53ac122a4761a", "kernel_id": "53961"}, {"ref": "forwardnetwork/notebook-c8a918e8219f394384b5", "kernel_id": "53717"}, {"ref": "forwardnetwork/notebook-7a555ebc135d47d93b67", "kernel_id": "53773"}, {"ref": "forwardnetwork/notebook-5eae848e8f10febe6460", "kernel_id": "60509"}, {"ref": "wendison/xgb-lalala", "kernel_id": "56028"}, {"ref": "wendison/basic-feature-exploration", "kernel_id": "56019"}, {"ref": "adrianvilaseco/first-attempt", "kernel_id": "56174"}, {"ref": "adrianvilaseco/first-attempt2", "kernel_id": "56175"}, {"ref": "adrianvilaseco/memoria", "kernel_id": "68023"}, {"ref": "darshitthakkar/notebook-e88cb0434ddec8f9a017", "kernel_id": "54336"}, {"ref": "dpfhdnxmfld/notebook-18a03cab005bf684eaef", "kernel_id": "50947"}, {"ref": "dpfhdnxmfld/notebook-97640339b1dec8a5c0c0", "kernel_id": "50942"}, {"ref": "dpfhdnxmfld/hahaa", "kernel_id": "52374"}, {"ref": "dpfhdnxmfld/notebook-f58e6df37a8de1d4f53e", "kernel_id": "57117"}, {"ref": "tcorradi/justviewoutput", "kernel_id": "45599"}, {"ref": "ytounsi/notebook-dc2c70553eff60046f20", "kernel_id": "56197"}, {"ref": "cosmochen/cjw001", "kernel_id": "45663"}, {"ref": "nguyentam/submission", "kernel_id": "57275"}, {"ref": "nguyentam/santander-classification", "kernel_id": "97468"}, {"ref": "zhaoxiong/notebook-a5bbe24045b31bdd7cbf", "kernel_id": "47514"}, {"ref": "zhaoxiong/notebook-bc1fa474eaf26692b2b8", "kernel_id": "47453"}, {"ref": "zhaoxiong/notebook-2ab2b76efbf4c481fec4", "kernel_id": "47454"}, {"ref": "zhaoxiong/notebook-d60dfe26e9bd1a8d66e0", "kernel_id": "47450"}, {"ref": "zhaoxiong/notebook-9fed28e2677eedd3290a", "kernel_id": "47498"}, {"ref": "zhaoxiong/notebook-7b3989a108f66c9386cf", "kernel_id": "47494"}, {"ref": "zhaoxiong/test2", "kernel_id": "47495"}, {"ref": "agnieszkatomczyk/notebook-74e5e21418707a7d4beb", "kernel_id": "45835"}, {"ref": "agnieszkatomczyk/testowy-plik", "kernel_id": "45836"}, {"ref": "agnieszkatomczyk/notebook-db23632ba442ad8ff1b3", "kernel_id": "45831"}, {"ref": "agnieszkatomczyk/notebook-b00f7df3a24acce906f8", "kernel_id": "45833"}, {"ref": "teamrug/saldo-var5", "kernel_id": "58308"}, {"ref": "teamrug/4-2904script-r", "kernel_id": "58691"}, {"ref": "teamrug/3-2904script-r", "kernel_id": "58686"}, {"ref": "teamrug/2-2904script-r", "kernel_id": "58677"}, {"ref": "teamrug/3004script-r", "kernel_id": "58804"}, {"ref": "teamrug/1-0105script-r", "kernel_id": "59317"}, {"ref": "newsinpong/notebook-e714da919eef0af45853", "kernel_id": "48551"}, {"ref": "newsinpong/notebook-af6db1b9d44a28f494ab", "kernel_id": "48549"}, {"ref": "nirupamkar/xgb-r", "kernel_id": "53900"}, {"ref": "ankt1993/xgboost-for-python", "kernel_id": "54985"}, {"ref": "fanfeng/notebook-2e685dc6c64aa8270eb9", "kernel_id": "50043"}, {"ref": "airlrj/santander", "kernel_id": "57456"}, {"ref": "paulyqh/notebook-b246dca454e1bf69f775", "kernel_id": "46279"}, {"ref": "perryjer1/testing", "kernel_id": "46304"}, {"ref": "guhongyehu/notebook-f1244cf44d9e96c5f301", "kernel_id": "46862"}, {"ref": "guhongyehu/notebook-67a6d6891482fc23376a", "kernel_id": "46863"}, {"ref": "guhongyehu/notebook-cc5953a75a04b4eda68d", "kernel_id": "46864"}, {"ref": "scob888/notebook-be4970c4fede639836b8", "kernel_id": "57800"}, {"ref": "rishiraj/trialrun2", "kernel_id": "47612"}, {"ref": "rishiraj/lb-0-84-for-starters", "kernel_id": "47621"}, {"ref": "rishiraj/xgboost2", "kernel_id": "47789"}, {"ref": "rishiraj/treesandstuff", "kernel_id": "47792"}, {"ref": "rishiraj/xgboosting", "kernel_id": "47785"}, {"ref": "rishiraj/featureselectionxgb", "kernel_id": "48171"}, {"ref": "goalexgo/notebook-a109016b502431fab45f", "kernel_id": "46667"}, {"ref": "acalatroni/notebook-47cb0ebc56bedb42386b", "kernel_id": "47275"}, {"ref": "jihyeseo/santandar-happy-customer-eda-binary-371-columns", "kernel_id": "957060"}, {"ref": "pixels/python-test-1", "kernel_id": "56455"}, {"ref": "shanvjoshi/notebook-cb837ce8bac2ae73d8ad", "kernel_id": "46768"}, {"ref": "gunvant/exploring-features", "kernel_id": "55933"}, {"ref": "yunanyang/notebook-9308b8e6142dc78064ee", "kernel_id": "57470"}, {"ref": "yunanyang/basic-tensorflow-model", "kernel_id": "61922"}, {"ref": "crailtap/ddfffd", "kernel_id": "47142"}, {"ref": "xiaoxiawu10/notebook-017864177e357bae90bc", "kernel_id": "55529"}, {"ref": "tianzhang1000/post-deadline-private-lb-172-ranking", "kernel_id": "60927"}, {"ref": "tianzhang1000/xgb-on-python", "kernel_id": "59760"}, {"ref": "tianzhang1000/keras-0-78-on-lb", "kernel_id": "59671"}, {"ref": "tianzhang1000/basic-tensorflow-model", "kernel_id": "58170"}, {"ref": "tianzhang1000/notebook-41a2b6c78840cfc9f64a", "kernel_id": "58171"}, {"ref": "trungnb/notebook-d7e5439e37449e751baa", "kernel_id": "56793"}, {"ref": "trungnb/notebook-e749e3d21eacd5c7b8e2", "kernel_id": "55779"}, {"ref": "trungnb/notebook-c23b9c6398860abb8def", "kernel_id": "55780"}, {"ref": "trungnb/notebook-643249ce42a669b044c1", "kernel_id": "55782"}, {"ref": "trungnb/notebook-3f5851751fdf705906ee", "kernel_id": "56520"}, {"ref": "trungnb/notebook-5e76442ef446ab22a42f", "kernel_id": "56411"}, {"ref": "trungnb/test-python", "kernel_id": "56394"}, {"ref": "puravmpatel/santander-starter", "kernel_id": "46993"}, {"ref": "hengluchang/notebook-ab75dc483a1fd4cb4d3b", "kernel_id": "57088"}, {"ref": "hengluchang/notebook-b46aa6518f6cd9737389", "kernel_id": "57023"}, {"ref": "hengluchang/notebook-8ec79609c7200d63f98d", "kernel_id": "57024"}, {"ref": "hengluchang/notebook-76bef1f5955c9b62c808", "kernel_id": "57039"}, {"ref": "hengluchang/notebook-6f37b09d5dc71b4489ce", "kernel_id": "57004"}, {"ref": "hengluchang/notebook-04c904a2e7bea446e28b", "kernel_id": "57005"}, {"ref": "hengluchang/exploring-features", "kernel_id": "56988"}, {"ref": "hengluchang/notebook-93b4bfc53089056187c7", "kernel_id": "58400"}, {"ref": "msoltaniehha/ls123", "kernel_id": "47264"}, {"ref": "nantingpo/notebook-fd394a5051715978e1e0", "kernel_id": "48410"}, {"ref": "clover9gu/exploring-features", "kernel_id": "68750"}, {"ref": "woiski/notebook-8c60be3df5d3b8bb6e86", "kernel_id": "47346"}, {"ref": "woiski/exploring-features", "kernel_id": "56883"}, {"ref": "surajrusc/today2", "kernel_id": "59466"}, {"ref": "keerthisaran/notebook948580b7ec", "kernel_id": "96120"}, {"ref": "thodk01/notebook-4580221d695ca6cc4a41", "kernel_id": "51099"}, {"ref": "madlen99/notebook-8fa21fd9b6914158c6f0", "kernel_id": "58771"}, {"ref": "jfabelha/notebook-122cd821cf63e4c405d3", "kernel_id": "50148"}, {"ref": "jfabelha/teste07", "kernel_id": "53513"}, {"ref": "jfabelha/starter-r-script-lb-0-840188", "kernel_id": "51673"}, {"ref": "guangbao/notebook-c7601aa9bd252baac917", "kernel_id": "47360"}, {"ref": "jamesliuzx/sample-script", "kernel_id": "50818"}, {"ref": "jamesliuzx/exploring-features", "kernel_id": "58432"}, {"ref": "jamesliuzx/notebook-c111cb6ffe1bc7525bb4", "kernel_id": "58438"}, {"ref": "jamesliuzx/notebook-6087b60118c613a2350f", "kernel_id": "58444"}, {"ref": "jamesliuzx/notebook-654bf552da2032eda44f", "kernel_id": "58448"}, {"ref": "jamesliuzx/to-the-top-v3", "kernel_id": "58483"}, {"ref": "jamesliuzx/data-exploration", "kernel_id": "58749"}, {"ref": "jamesliuzx/notebook-b6fea6ef0cf9ec1c43a3", "kernel_id": "58757"}, {"ref": "jamesliuzx/notebook-8f9660a592d0db182b41", "kernel_id": "58752"}, {"ref": "jamesliuzx/notebook-5ac0a95321ddc005fca9", "kernel_id": "58753"}, {"ref": "cdr000/notebook-b8da7e7deb0a6b6973a4", "kernel_id": "47876"}, {"ref": "cdr000/kaggle-r-20160320", "kernel_id": "47877"}, {"ref": "cdr000/notebook-0aa3b3399423397c5ec3", "kernel_id": "47878"}, {"ref": "cdr000/notebook-70fd97c9d73fb600ea5d", "kernel_id": "48200"}, {"ref": "raphael7058/notebook-a855cf13af60446a0404", "kernel_id": "53744"}, {"ref": "richb123/exploring-features", "kernel_id": "59010"}, {"ref": "cbh567/notebook-7f416756df5e9cee81ea", "kernel_id": "58603"}, {"ref": "anthonyjw/notebook-e8468126af39df384877", "kernel_id": "47744"}, {"ref": "einsqiang/randomforestclassifier", "kernel_id": "55398"}, {"ref": "einsqiang/notebook-dfa6727d1f251a09564b", "kernel_id": "55401"}, {"ref": "abhishek333/notebook-986b68814bd2a951f0d4", "kernel_id": "49676"}, {"ref": "abhishek333/notebook-39618d523472f0191634", "kernel_id": "49766"}, {"ref": "abhishek333/notebook-721b583dc297ac5b54ac", "kernel_id": "49700"}, {"ref": "abhishek333/notebook-57be3b87672c100b71f1", "kernel_id": "49696"}, {"ref": "abhishek333/notebook-e5b9786781828addec0b", "kernel_id": "49697"}, {"ref": "abhishek333/notebook-2ac287dafdc30810a480", "kernel_id": "49684"}, {"ref": "abhishek333/santander", "kernel_id": "49685"}, {"ref": "robertehshi/principalvectormachine", "kernel_id": "47750"}, {"ref": "robertehshi/adabooster", "kernel_id": "48013"}, {"ref": "robertehshi/l1-xgb", "kernel_id": "52699"}, {"ref": "mewil666/notebook-9c56b53f5b7e1536893b", "kernel_id": "47656"}, {"ref": "shridharyadav/notebook-e11d7c7ade4081567c57", "kernel_id": "64116"}, {"ref": "shridharyadav/notebook-2277d85c2afe5e978a4b", "kernel_id": "64092"}, {"ref": "shridharyadav/notebook-6e5c53804da3632cac5f", "kernel_id": "64118"}, {"ref": "shridharyadav/santanderscript", "kernel_id": "63876"}, {"ref": "mrcrowley/santanderclassificator", "kernel_id": "47696"}, {"ref": "mrcrowley/aprendiendo", "kernel_id": "49938"}, {"ref": "penghuicao/basic-feature-exploration", "kernel_id": "49816"}, {"ref": "hyesukby/notebook-2ce5c3b55bad732fc9dc", "kernel_id": "49785"}, {"ref": "aojiao/notebook-7d36dff2846c094a404d", "kernel_id": "49522"}, {"ref": "loglow/auc-0-88", "kernel_id": "47945"}, {"ref": "hirohiro/notebook-d84b1e3dc74ccd9a739a", "kernel_id": "68981"}, {"ref": "lossrual/to-the-top-v3", "kernel_id": "58030"}, {"ref": "lossrual/notebook-34116bc32edb97cc470c", "kernel_id": "55338"}, {"ref": "kanredy/notebook-22a6de6eef6b2059d117", "kernel_id": "47842"}, {"ref": "ecatru/notebook-2a8452f738925bf71ca8", "kernel_id": "49328"}, {"ref": "ecatru/notebook-374c75502f29ba68af11", "kernel_id": "49329"}, {"ref": "pateryiyi/notebook-2bd639e30f3ddbc61595", "kernel_id": "47984"}, {"ref": "pateryiyi/notebook-990c12b7b07d9cd0eea5", "kernel_id": "48082"}, {"ref": "suanrong/notebook-acfc4d949600973f9121", "kernel_id": "63956"}, {"ref": "suanrong/my-xgb-lalala", "kernel_id": "54016"}, {"ref": "suanrong/thisis", "kernel_id": "52357"}, {"ref": "alexander88/notebook-a99360a73a82e49ae364", "kernel_id": "50269"}, {"ref": "alexander88/notebook-42d828b15196931ae3eb", "kernel_id": "50270"}, {"ref": "jeffsquared/notebook-b6d73e9f72501a825e99", "kernel_id": "49270"}, {"ref": "donghyunkim/notebook-8f9a74178f70072913b4", "kernel_id": "59172"}, {"ref": "sonamagarwal/0-69-subsample", "kernel_id": "49864"}, {"ref": "sonamagarwal/script-1", "kernel_id": "49887"}, {"ref": "rnp344/basic-tensorflow-model", "kernel_id": "60117"}, {"ref": "rnp344/notebook-fef5fe16e3c13a5ebe4e", "kernel_id": "60118"}, {"ref": "angelr/notebook-9f4499227ecfb566641e", "kernel_id": "51384"}, {"ref": "angelr/notebook-67e93f6aed652c2924bc", "kernel_id": "53054"}, {"ref": "angelr/ensayo", "kernel_id": "53056"}, {"ref": "angelr/notebook-4c239fbddd321e010dec", "kernel_id": "54919"}, {"ref": "intpsoftware/notebook-d5de9b2233b672e39924", "kernel_id": "50083"}, {"ref": "davidbc/notebook-6e8c7700b3e3d328e338", "kernel_id": "48382"}, {"ref": "govalles/notebook-0fbd0faf3a4fec5bf93e", "kernel_id": "48874"}, {"ref": "freebody/notebook-08aa8198acde834bd9ae", "kernel_id": "48413"}, {"ref": "accenture/exploring-features", "kernel_id": "48559"}, {"ref": "accenture/notebook-8c01315c8c349432ab48", "kernel_id": "48561"}, {"ref": "clapika/exploring-features", "kernel_id": "49074"}, {"ref": "clapika/notebook-f9732d51dc84e53d4cf8", "kernel_id": "49075"}, {"ref": "clapika/data-exploration", "kernel_id": "49078"}, {"ref": "clapika/notebook-4362eea62dc55387ccfd", "kernel_id": "49081"}, {"ref": "clapika/notebook-ad64a072ba5d3c1d6b79", "kernel_id": "49082"}, {"ref": "solaryang/helloworld", "kernel_id": "52093"}, {"ref": "blisspierce/notebook-4a13b7223abcd6b2e5e2", "kernel_id": "50064"}, {"ref": "lttviet/notebook-e6bfabdc991bbe71391a", "kernel_id": "59434"}, {"ref": "lttviet/notebook-320ea5b113380c0c8788", "kernel_id": "59436"}, {"ref": "lttviet/notebook-27ab1a284e42de873c3c", "kernel_id": "48625"}, {"ref": "lttviet/notebook-2f3c3fcc58ffd34b1026", "kernel_id": "48838"}, {"ref": "haoly95/kaggle", "kernel_id": "57930"}, {"ref": "haoly95/what-is-it", "kernel_id": "57931"}, {"ref": "haoly95/first-attempt", "kernel_id": "57936"}, {"ref": "haoly95/fffff", "kernel_id": "59476"}, {"ref": "derektlo/santander", "kernel_id": "48594"}, {"ref": "derektlo/notebook-35dc5767e32f32153746", "kernel_id": "48592"}, {"ref": "ggwong/main-xgboost-with-pls", "kernel_id": "56294"}, {"ref": "ggwong/notebook-6780ee625f0c4ca660da", "kernel_id": "56296"}, {"ref": "jackzhong/notebook-274b77a8b99b0b3b0190", "kernel_id": "50662"}, {"ref": "jackzhong/notebook-303d4081a57c28914ba4", "kernel_id": "50815"}, {"ref": "jackzhong/hahaha", "kernel_id": "58872"}, {"ref": "jackzhong/data-exploration", "kernel_id": "58747"}, {"ref": "jackzhong/notebook-84f47129a44279de91b4", "kernel_id": "58738"}, {"ref": "jackzhong/aaaaa", "kernel_id": "58712"}, {"ref": "vnarcizo/notebook-2996029db3dfa38e06ad", "kernel_id": "48613"}, {"ref": "kkoehn/notebook-33a8dd6fab965a640895", "kernel_id": "51458"}, {"ref": "ivamshky/exploring-features", "kernel_id": "62783"}, {"ref": "ivamshky/notebook-788a2cf65a62a8120cb0", "kernel_id": "66611"}, {"ref": "ivamshky/notebook-058c16441794bece41d9", "kernel_id": "68072"}, {"ref": "ivamshky/notebook-1d3d6db9f752e1866583", "kernel_id": "68074"}, {"ref": "irsal2009/santander-starter-parameter-tune", "kernel_id": "48702"}, {"ref": "irsal2009/notebook-b1aadf1a6ea923aa9999", "kernel_id": "48704"}, {"ref": "cw2845/hahaha2", "kernel_id": "59169"}, {"ref": "cw2845/hahaha", "kernel_id": "58917"}, {"ref": "jinmin/notebook-584e0a15648c95804f89", "kernel_id": "48709"}, {"ref": "bdittakavi/notebook-08362db1116b62a618ad", "kernel_id": "57183"}, {"ref": "adamstefan/testusingxgboost", "kernel_id": "51601"}, {"ref": "adamstefan/mainfunctions", "kernel_id": "49924"}, {"ref": "inaliu/notebook-b17ff0c229579f759545", "kernel_id": "59653"}, {"ref": "shahnawazakhtar/exploring-features", "kernel_id": "54691"}, {"ref": "shahnawazakhtar/notebook-3e0dc5d46b293e6bdf92", "kernel_id": "56167"}, {"ref": "shahnawazakhtar/visualization", "kernel_id": "56168"}, {"ref": "shahnawazakhtar/to-the-top-v3-1", "kernel_id": "58076"}, {"ref": "shahnawazakhtar/combination", "kernel_id": "57813"}, {"ref": "shahnawazakhtar/14th-place-private-lb-script", "kernel_id": "61959"}, {"ref": "mhasanjafry/testing-1992", "kernel_id": "58727"}, {"ref": "mayinmiao/to-the-top-v3", "kernel_id": "59801"}, {"ref": "mayinmiao/to-the-top", "kernel_id": "59807"}, {"ref": "lan19871212/santander-starter-parameter-tune", "kernel_id": "48871"}, {"ref": "gveliopoulos/mysantander", "kernel_id": "48873"}, {"ref": "abualhaol/notebook-a5b22fe674f37c729a97", "kernel_id": "48906"}, {"ref": "jasonwi1202/xgboost", "kernel_id": "52007"}, {"ref": "pranav93/basucode", "kernel_id": "58113"}, {"ref": "pranav93/notebook-eb1e2ebbcebcd735f522", "kernel_id": "57474"}, {"ref": "pranav93/notebook-e30a58da85a93c5c4238", "kernel_id": "57450"}, {"ref": "pranav93/basic-tensorflow-model", "kernel_id": "57441"}, {"ref": "xiaotuzuoshuju/notebook-b45efe33f29eb541dbe0", "kernel_id": "48968"}, {"ref": "hemo63/notebook-972b6a735aecd9891366", "kernel_id": "48985"}, {"ref": "lengoanhcat/analyze-data", "kernel_id": "48999"}, {"ref": "lengoanhcat/notebook-aa7e7b59ec9f62f03d36", "kernel_id": "48963"}, {"ref": "lengoanhcat/notebook-9fdf75af30b1986ce400", "kernel_id": "48959"}, {"ref": "howitzerh/notebook-0a8368623828c7f978c1", "kernel_id": "49028"}, {"ref": "mioratina/notebook-8dd9fa641ad2faf64120", "kernel_id": "65674"}, {"ref": "mioratina/notebook-f8c0cbd2a0ca11f9ded2", "kernel_id": "65653"}, {"ref": "mioratina/notebook-3801f937ffb9a8690e59", "kernel_id": "65654"}, {"ref": "mioratina/notebook-7c1e9aa1f3a8afa98d9f", "kernel_id": "65659"}, {"ref": "mioratina/notebook-c8202f9e2ff2ffbe3728", "kernel_id": "65664"}, {"ref": "han241/exploring-features", "kernel_id": "57098"}, {"ref": "han241/notebook-d6e5e872557d1242a9de", "kernel_id": "58388"}, {"ref": "ngoclt/basic-feature-exploration", "kernel_id": "50379"}, {"ref": "ngoclt/exploring-features", "kernel_id": "49906"}, {"ref": "katherinee/exploring-features", "kernel_id": "49176"}, {"ref": "dbonetti/notebook-bdbdd37ec456506e57ac", "kernel_id": "49226"}, {"ref": "dbonetti/notebook-2f9e1e363f2feccfeda0", "kernel_id": "49227"}, {"ref": "dbonetti/notebook-79c2db7f5e057b5b6468", "kernel_id": "51274"}, {"ref": "konstantint/123451", "kernel_id": "51162"}, {"ref": "jhuang37/basic-feature-exploration", "kernel_id": "50049"}, {"ref": "jhuang37/notebook-7b2a2455248384511d84", "kernel_id": "50050"}, {"ref": "jpanvel/abcde-fg", "kernel_id": "49259"}, {"ref": "nchapman/notebook-f03fde524007393ee16f", "kernel_id": "57128"}, {"ref": "nchapman/notebook-46b0d21f334508750868", "kernel_id": "57132"}, {"ref": "morfeas/notebook-0ea4555df24952779f8b", "kernel_id": "57018"}, {"ref": "vinishaj/notebook-c0ea6f8c86b288966a7c", "kernel_id": "58921"}, {"ref": "ioramishvili/python-xgb-lb-0-841047-1411414", "kernel_id": "253707"}, {"ref": "ioramishvili/414114tet42212414121414", "kernel_id": "255220"}, {"ref": "ioramishvili/141414414114tet4221241412141421411414", "kernel_id": "266290"}, {"ref": "ioramishvili/414114tet4221241412141421411414", "kernel_id": "265751"}, {"ref": "ioramishvili/python-xgb-lb-0-84104712412441241214", "kernel_id": "251759"}, {"ref": "ioramishvili/python-xgb-lb-0-841047-41", "kernel_id": "252433"}, {"ref": "ioramishvili/4221241412", "kernel_id": "243046"}, {"ref": "ioramishvili/python-xgb-lb-0-841047-141", "kernel_id": "242863"}, {"ref": "liammilin/notebook-e13a9ed19b90b75922a0", "kernel_id": "49899"}, {"ref": "lkx621/exploring-features", "kernel_id": "90010"}, {"ref": "carofe82/exploring-features", "kernel_id": "51894"}, {"ref": "jiajingyue123/notebook-0b21e819e48f38ce0184", "kernel_id": "55936"}, {"ref": "jiajingyue123/notebook-597882f25c6ccf65496c", "kernel_id": "61738"}, {"ref": "jiajingyue123/notebook-a21c221573a15d7b04ad", "kernel_id": "61739"}, {"ref": "montyhall/notebook-a72c431f7bba8820363a", "kernel_id": "51323"}, {"ref": "montyhall/exploring-features", "kernel_id": "51225"}, {"ref": "montyhall/testing-something", "kernel_id": "51226"}, {"ref": "montyhall/notebook-a8f23748b6fdf93ab084", "kernel_id": "51636"}, {"ref": "montyhall/notebook-24157e9802c28b5e89c5", "kernel_id": "51550"}, {"ref": "absurdfalcon/listinputdirectory", "kernel_id": "50065"}, {"ref": "absurdfalcon/notebook-bee3a96c2dc2157b175c", "kernel_id": "50068"}, {"ref": "absurdfalcon/notebook-123493258ee3c6013bdf", "kernel_id": "50076"}, {"ref": "absurdfalcon/notebook-c4e5084058a15d27d25d", "kernel_id": "50077"}, {"ref": "yongchaoshang/boomshaka-v16", "kernel_id": "58762"}, {"ref": "yongchaoshang/boomshaka-v13", "kernel_id": "58370"}, {"ref": "mdumar/test-script", "kernel_id": "49837"}, {"ref": "abhishekmishra87/notebook-a709d9282bedb72b003e", "kernel_id": "49898"}, {"ref": "xiaoshcihang/testothers", "kernel_id": "51317"}, {"ref": "knaveenkr/notebook-2d3ef46dbb08fefd7548", "kernel_id": "49921"}, {"ref": "rickgehlhaus/notebook-6c8c72e1c7b0f13cf5bf", "kernel_id": "53697"}, {"ref": "leewk92/notebook-45dbb530f31516ec433d", "kernel_id": "50130"}, {"ref": "gabylim/xxxxx", "kernel_id": "50574"}, {"ref": "missakmissak/notebook-53a98088b80af77db8ce", "kernel_id": "58266"}, {"ref": "missakmissak/testing", "kernel_id": "57637"}, {"ref": "missakmissak/xgb-lalala", "kernel_id": "58839"}, {"ref": "missakmissak/3004nonum4script-r", "kernel_id": "58848"}, {"ref": "missakmissak/3004nonum4script0-r", "kernel_id": "59594"}, {"ref": "missakmissak/testmm", "kernel_id": "59258"}, {"ref": "missakmissak/testmmm", "kernel_id": "59279"}, {"ref": "tarunsinghal92/notebook-72b83e9e34f66cf97953", "kernel_id": "50407"}, {"ref": "rwhenderson/testt", "kernel_id": "57695"}, {"ref": "rwhenderson/project-2", "kernel_id": "57846"}, {"ref": "deathlyhallows/cds12345", "kernel_id": "153212"}, {"ref": "deathlyhallows/notebook9a1de8f8f4", "kernel_id": "153213"}, {"ref": "linhvannguyen/notebook-4efa6f961d0f51ddd8d0", "kernel_id": "51012"}, {"ref": "linhvannguyen/notebook-8a75f56f088e16bfed64", "kernel_id": "51013"}, {"ref": "linhvannguyen/notebook-9f1a431f35f35c6f7989", "kernel_id": "53896"}, {"ref": "linhvannguyen/exploring-features", "kernel_id": "57015"}, {"ref": "linhvannguyen/advanced-feature-exploration", "kernel_id": "57016"}, {"ref": "hjain28/notebook-7bf3dbd5c8c1c6cc803a", "kernel_id": "51336"}, {"ref": "hjain28/notebook-cef8339e654743190bef", "kernel_id": "51337"}, {"ref": "hjain28/notebook-978d87a4e42e298418b4", "kernel_id": "51339"}, {"ref": "yanwii/yanwii-1", "kernel_id": "51174"}, {"ref": "yanwii/notebook-364392998399f3464bb4", "kernel_id": "50956"}, {"ref": "yanwii/notebook-be1bc2455f5b8f02f502", "kernel_id": "51157"}, {"ref": "pagocmb/first-check", "kernel_id": "50763"}, {"ref": "qf6101/testt", "kernel_id": "52261"}, {"ref": "rechie26/newscript", "kernel_id": "58363"}, {"ref": "rechie26/rscript", "kernel_id": "57413"}, {"ref": "rechie26/newscript3", "kernel_id": "59084"}, {"ref": "trblnc/basic-tensorflow-model", "kernel_id": "51476"}, {"ref": "trblnc/notebook-d77941e0b9c87a7aedd9", "kernel_id": "50816"}, {"ref": "trblnc/plotdata", "kernel_id": "50817"}, {"ref": "trblnc/very-quick-data-check", "kernel_id": "50886"}, {"ref": "prabhanjan1992/46runjhj", "kernel_id": "59876"}, {"ref": "prabhanjan1992/600142", "kernel_id": "59128"}, {"ref": "prabhanjan1992/asdfasfd-1", "kernel_id": "59120"}, {"ref": "prabhanjan1992/nthread6", "kernel_id": "59121"}, {"ref": "prabhanjan1992/sasdfvcxv", "kernel_id": "59122"}, {"ref": "prabhanjan1992/pcaxg", "kernel_id": "58965"}, {"ref": "prabhanjan1992/46run", "kernel_id": "59417"}, {"ref": "prabhanjan1992/75run", "kernel_id": "59396"}, {"ref": "hknmtt/0-83-score-with-36-features-only", "kernel_id": "59227"}, {"ref": "masanori/xgboriginal", "kernel_id": "54842"}, {"ref": "masanori/xgb-zzz", "kernel_id": "54850"}, {"ref": "masanori/under-23-year-olds-are-always-happy", "kernel_id": "57124"}, {"ref": "masanori/under-23-year-are-always-happy-2", "kernel_id": "57301"}, {"ref": "masanori/notebook-506a58a6b114641b0d67", "kernel_id": "53853"}, {"ref": "masanori/testr", "kernel_id": "53854"}, {"ref": "masanori/xgb-r", "kernel_id": "53787"}, {"ref": "harsh6gpt/test1no", "kernel_id": "51088"}, {"ref": "iddober/notebook-d8e105b70d4cbed69c13", "kernel_id": "51159"}, {"ref": "iddober/notebook-6a5f5f900ff6b01986c9", "kernel_id": "51102"}, {"ref": "kkothari93/trial", "kernel_id": "55722"}, {"ref": "naikabhilash/notebook-7b45c8453b4131f6ccba", "kernel_id": "53809"}, {"ref": "naikabhilash/notebook-5a7ebc353c06e5e619d7", "kernel_id": "53833"}, {"ref": "naikabhilash/notebook-d561355f5df7a5e9f5fe", "kernel_id": "53515"}, {"ref": "naikabhilash/notebook-f51b209baeef4cbdd4d8", "kernel_id": "53501"}, {"ref": "naikabhilash/notebook-c5337cd9074a39d6c2ac", "kernel_id": "53480"}, {"ref": "naikabhilash/notebook-11fbde99b591afba69a7", "kernel_id": "53574"}, {"ref": "naikabhilash/notebook-e6467127d93f26214439", "kernel_id": "53647"}, {"ref": "a724402465/111111", "kernel_id": "51369"}, {"ref": "amanraj/notebook-e276c684e0b4b5f5a3e5", "kernel_id": "51383"}, {"ref": "imanojkumar/santander-kaggle-imanojkumar", "kernel_id": "51311"}, {"ref": "jigneshj/notebook-7d8b058d22429dc7a646", "kernel_id": "53533"}, {"ref": "jigneshj/notebook-d70fd5b7daf74e9a4e4d", "kernel_id": "53529"}, {"ref": "jthompson/santander-book", "kernel_id": "51365"}, {"ref": "oxjlisa/customersatisfation", "kernel_id": "59878"}, {"ref": "oxjlisa/customers-v2", "kernel_id": "59899"}, {"ref": "oxjlisa/notebook-c160b8935e2ec0db463b", "kernel_id": "59902"}, {"ref": "oxjlisa/customersatisfaction-v1", "kernel_id": "59890"}, {"ref": "oxjlisa/notebook-5871d84ca86d3be2cde1", "kernel_id": "59884"}, {"ref": "ya0guang/testing-something", "kernel_id": "51650"}, {"ref": "alwayssai/notebook-510bc3b9546edd240f82", "kernel_id": "66255"}, {"ref": "alwayssai/custsatisfctn", "kernel_id": "53651"}, {"ref": "chbimo/notebook5704d7de2e", "kernel_id": "110692"}, {"ref": "diogovaz/first", "kernel_id": "51712"}, {"ref": "dorvik/notebook-87edec64ba54ef0b9d14", "kernel_id": "55652"}, {"ref": "zijianchen/notebook-0f938ca2299e809c9a17", "kernel_id": "51858"}, {"ref": "rcatajar/notebook-d078ba76cf3c960df9e4", "kernel_id": "51890"}, {"ref": "rcatajar/test-script", "kernel_id": "51891"}, {"ref": "jceasley/notebook-b18f5d0296b8cdbe8120", "kernel_id": "59159"}, {"ref": "jceasley/notebook-22bbb7af5b2012456a9b", "kernel_id": "59160"}, {"ref": "jungli/notebook-28cd26018887399b808b", "kernel_id": "58581"}, {"ref": "jungli/first", "kernel_id": "58583"}, {"ref": "jungli/final-submissions", "kernel_id": "59118"}, {"ref": "jungli/notebook-258b74b0e4717d1dd89d", "kernel_id": "59112"}, {"ref": "jungli/notebook-c70eeff9fd91726716b7", "kernel_id": "59113"}, {"ref": "mengtihlam/notebook-f6029b7c4af21d22afb2", "kernel_id": "55568"}, {"ref": "mengtihlam/notebook-216bb909f2b5b124a453", "kernel_id": "55569"}, {"ref": "mengtihlam/notebook-10cc8e1e8f4e62998eed", "kernel_id": "55571"}, {"ref": "mengtihlam/exploring-features", "kernel_id": "55560"}, {"ref": "salehsed/notebook-6406d4566731e95cfa91", "kernel_id": "51960"}, {"ref": "mdelrosal/olion-uno", "kernel_id": "52507"}, {"ref": "mdelrosal/notebook-9fd77d0cc87a7571288a", "kernel_id": "52498"}, {"ref": "mdelrosal/notebook-77613390e2d863d96263", "kernel_id": "52499"}, {"ref": "mdelrosal/notebook-1214a2c53c6b2c4b3836", "kernel_id": "52500"}, {"ref": "mdelrosal/notebook-7bf5b3b49323c35bf9b5", "kernel_id": "52501"}, {"ref": "fmerakos/notebook-d10a4fd8e56424991ac8", "kernel_id": "73776"}, {"ref": "xiziling/roc-curve", "kernel_id": "54743"}, {"ref": "gilbar/xgbooting-features", "kernel_id": "55994"}, {"ref": "gilbar/xgboost-learning-curve", "kernel_id": "55649"}, {"ref": "gilbar/visualizing-data", "kernel_id": "58226"}, {"ref": "lambinvoker/testing-py", "kernel_id": "57418"}, {"ref": "zhu2548972/notebook-1bb79c425419edd606e8", "kernel_id": "52239"}, {"ref": "wangyum/exploring-features", "kernel_id": "103116"}, {"ref": "wangyum/advanced-feature-exploration", "kernel_id": "53545"}, {"ref": "wangyum/python-xgb-lb-0-841047", "kernel_id": "54739"}, {"ref": "wangyum/notebook-cf8515c3ae51d9c0786b", "kernel_id": "54733"}, {"ref": "explorekaggle/notebook-76c7982640ec17e2b39e", "kernel_id": "52760"}, {"ref": "sharif1093/python-xgb-lb-0-841047", "kernel_id": "57048"}, {"ref": "sharif1093/under-23-year-olds-are-always-happy", "kernel_id": "57082"}, {"ref": "sharif1093/combination", "kernel_id": "57861"}, {"ref": "sharif1093/test1-svm-discrete", "kernel_id": "53412"}, {"ref": "sharif1093/notebook-1bcd2407580f534cce9c", "kernel_id": "53406"}, {"ref": "rbathula/myfirstscript", "kernel_id": "56011"}, {"ref": "brigadius/korig", "kernel_id": "52913"}, {"ref": "brigadius/testing", "kernel_id": "52648"}, {"ref": "brigadius/notebook-250c9e78204f2693cbc1", "kernel_id": "52649"}, {"ref": "brigadius/kaggle-analysis", "kernel_id": "52650"}, {"ref": "brigadius/koriginal", "kernel_id": "52653"}, {"ref": "brigadius/notebook-f2cd99048835e247dd5a", "kernel_id": "52663"}, {"ref": "zackzhaoyang/notebook-c1e0a58d5113becbb56c", "kernel_id": "61930"}, {"ref": "akanyaani/exploring-features", "kernel_id": "77063"}, {"ref": "syalpradeep/notebook-6d962dab77392cf05322", "kernel_id": "57781"}, {"ref": "monigame/3004nonum4script-r", "kernel_id": "58858"}, {"ref": "raziehnabi/neuralnet", "kernel_id": "53405"}, {"ref": "yczhangnu/notebook-7ecf8aef12d466c0dbb7", "kernel_id": "56616"}, {"ref": "thuongdinh/exploring-features", "kernel_id": "55428"}, {"ref": "kisnastar/testingfirstrscript", "kernel_id": "59136"}, {"ref": "joolee/notebook-66c0431f5fe4f37a26a3", "kernel_id": "54100"}, {"ref": "joolee/exploring-features", "kernel_id": "54098"}, {"ref": "fpessoto/notebook-9ec2412caf27c49f9073", "kernel_id": "55226"}, {"ref": "kimhoejin/hoejin-kim", "kernel_id": "57832"}, {"ref": "idrgg3/notebook-5f9ed0eb9c5e8fc6832e", "kernel_id": "53711"}, {"ref": "subhassing/notebook-865d86dc6e51bf86ff21", "kernel_id": "54251"}, {"ref": "subhassing/notebook-a1c7e92e585c8edf2344", "kernel_id": "58916"}, {"ref": "tejdeep/notebook-267a66ff2273793ac71f", "kernel_id": "71808"}, {"ref": "tejdeep/notebook-02131b1afc45aef96db8", "kernel_id": "71809"}, {"ref": "tejdeep/notebook-3ac07b616e6f733f6b12", "kernel_id": "71816"}, {"ref": "tejdeep/notebook-ec9d61589fd0ca6d2fb5", "kernel_id": "71817"}, {"ref": "tejdeep/notebook-cb88c26b887b0327da70", "kernel_id": "71818"}, {"ref": "tejdeep/notebook-1a9d15c4e04cce2deae1", "kernel_id": "71821"}, {"ref": "tejdeep/notebook-5203af697c39265472bd", "kernel_id": "71814"}, {"ref": "tejdeep/practice-py", "kernel_id": "71830"}, {"ref": "tejdeep/notebook-733faa2df0a9d8677f22", "kernel_id": "71844"}, {"ref": "tejdeep/notebook-2ae06a2be51929a4be3c", "kernel_id": "71897"}, {"ref": "tejdeep/exploring-features", "kernel_id": "71802"}, {"ref": "tejdeep/notebook-e0e29d11be776ec59499", "kernel_id": "72082"}, {"ref": "tejdeep/xgboost-after-feature-pruning", "kernel_id": "72083"}, {"ref": "tejdeep/notebook-7a4acd8c81273af2bf41", "kernel_id": "72074"}, {"ref": "tejdeep/notebook-8a57746769040c0a8645", "kernel_id": "72326"}, {"ref": "tejdeep/notebook-f72ddac6a35c7cd8761d", "kernel_id": "72327"}, {"ref": "tejdeep/santander-bankingusing-gradient-boosting", "kernel_id": "75046"}, {"ref": "tejdeep/notebook-f472db3cbbdddbd33a02", "kernel_id": "73534"}, {"ref": "tejdeep/practice-harder", "kernel_id": "73358"}, {"ref": "tejdeep/notebook-fb5aacd3f4e55e121ff1", "kernel_id": "73363"}, {"ref": "tejdeep/notebook-e320dccb086d6d9d1012", "kernel_id": "73379"}, {"ref": "jossomeone/sssss", "kernel_id": "55462"}, {"ref": "jossomeone/submit-csv", "kernel_id": "55455"}, {"ref": "theschlongking/notebook-9d56246d082925b05753", "kernel_id": "60441"}, {"ref": "theschlongking/exploring-features", "kernel_id": "57205"}, {"ref": "andingo/notebook-1522a8a3d6b5395bfeeb", "kernel_id": "53930"}, {"ref": "ericwbzhang/gbm-preprocraw", "kernel_id": "94571"}, {"ref": "ericwbzhang/gbm-preprocraw2", "kernel_id": "94708"}, {"ref": "ericwbzhang/gbm-preprocraw7", "kernel_id": "94709"}, {"ref": "ericwbzhang/justfor-r-rank24", "kernel_id": "94139"}, {"ref": "tivepro/finalazwer", "kernel_id": "54108"}, {"ref": "tivepro/notebook-2d6bc6f115147e9350d3", "kernel_id": "54109"}, {"ref": "tivepro/notebook-0bf99059b045ee20bdfd", "kernel_id": "54110"}, {"ref": "sancychen/notebookca9872d417", "kernel_id": "95035"}, {"ref": "ravishnkr/exploring-features", "kernel_id": "57775"}, {"ref": "aliajouz/notebook-c74dae05176191edf7fd", "kernel_id": "54841"}, {"ref": "julienmarchand/notebook-bf07de583a6f40245154", "kernel_id": "57764"}, {"ref": "julienmarchand/notebook-60b80695c9cdccd81f1a", "kernel_id": "57815"}, {"ref": "julienmarchand/notebook-0259d640952e05e06143", "kernel_id": "57761"}, {"ref": "peimaher/first-try", "kernel_id": "57381"}, {"ref": "otherwise/1st-try", "kernel_id": "54617"}, {"ref": "otherwise/logit-with-all-the-variable", "kernel_id": "54628"}, {"ref": "otherwise/logit-with-fstep", "kernel_id": "54643"}, {"ref": "otherwise/nnet-with-selected-vars-from-logit-step", "kernel_id": "54724"}, {"ref": "ravindrachoochukonda/notebook-5c9c240650610cbf7833", "kernel_id": "54726"}, {"ref": "kawsleo/notebook-c75d5e2706dbfc4050ed", "kernel_id": "57277"}, {"ref": "kawsleo/notebook-d9137af7a731e4ae96f8", "kernel_id": "57279"}, {"ref": "tk2479/first-try", "kernel_id": "55963"}, {"ref": "atularora/notebook-eb8dd30a62d43db9da80", "kernel_id": "55219"}, {"ref": "wandererin/notebook-f76f352d8ae10182f279", "kernel_id": "55243"}, {"ref": "songbow/exploring-features", "kernel_id": "55325"}, {"ref": "srossgupta/1st-phase", "kernel_id": "55847"}, {"ref": "srossgupta/notebook-9ba6caf5920b54298918", "kernel_id": "55850"}, {"ref": "agenbite/prueba", "kernel_id": "55456"}, {"ref": "agenbite/prueba-2", "kernel_id": "55458"}, {"ref": "rewin123/notebook-3912c11d12dc25a28dfd", "kernel_id": "59589"}, {"ref": "gur1515/xgb-lalala", "kernel_id": "55497"}, {"ref": "abughazaleh/pca-visualization", "kernel_id": "55800"}, {"ref": "lawiii/random-forest", "kernel_id": "57298"}, {"ref": "ioioio/notebook-75525af5fafddbabd702", "kernel_id": "55801"}, {"ref": "simmoncn/notebookedac549646", "kernel_id": "152368"}, {"ref": "amichban/notebook-e8bb7a5856c75a012bef", "kernel_id": "56109"}, {"ref": "rmgservices/notebook-497434b153e01269c671", "kernel_id": "57996"}, {"ref": "wangjy1112/notebook-de4d14cecf3920eaf798", "kernel_id": "77030"}, {"ref": "wangjy1112/notebook-2a2446fc8b8e5fb69180", "kernel_id": "77022"}, {"ref": "wangjy1112/satisfaction-feature-engineering", "kernel_id": "76976"}, {"ref": "wangjy1112/santander-customer-satisfaction", "kernel_id": "76930"}, {"ref": "wangjy1112/customer-satisfaction", "kernel_id": "76936"}, {"ref": "wangjy1112/notebook-076f69999afe2dbba232", "kernel_id": "76938"}, {"ref": "wangjy1112/notebook-133438ad524ea9e4d7da", "kernel_id": "76939"}, {"ref": "zhangqifire/basic-feature-exploration", "kernel_id": "56387"}, {"ref": "boki318/blabla", "kernel_id": "59386"}, {"ref": "kagglelover3/today1", "kernel_id": "59717"}, {"ref": "ehkgrace/exploring-features", "kernel_id": "56357"}, {"ref": "ehkgrace/test-001", "kernel_id": "56358"}, {"ref": "ehkgrace/notebook-3a03c2fdc6cc0444c377", "kernel_id": "56339"}, {"ref": "ixiaoxi/notebook-0362ac8ebfb694b5081a", "kernel_id": "56626"}, {"ref": "edckarthik/notebook-f31ab0814eae0f9fc835", "kernel_id": "56681"}, {"ref": "andygogo/exploring-features", "kernel_id": "62451"}, {"ref": "andygogo/notebook-b53631c0409d5e2439fe", "kernel_id": "56709"}, {"ref": "tryagainagain/notebook-dfe953ab2b8606fae6a9", "kernel_id": "59938"}, {"ref": "utaustinsml/r-scripttest", "kernel_id": "59488"}, {"ref": "dpdeparture/notebook53ffaf8593", "kernel_id": "129186"}, {"ref": "salaheddineramah/notebook-858866c9c42d33ceec51", "kernel_id": "57211"}, {"ref": "salaheddineramah/exploring-features", "kernel_id": "57203"}, {"ref": "lokm01/test1-12", "kernel_id": "57196"}, {"ref": "jvdmbp/notebook-26efa2b1630d4a2e1ebf", "kernel_id": "57297"}, {"ref": "jvdmbp/notebook-6e38101b8d6ca40d6192", "kernel_id": "57303"}, {"ref": "jvdmbp/notebook-2a69143540a47cd6fc31", "kernel_id": "57304"}, {"ref": "jvdmbp/aaaaaa", "kernel_id": "57305"}, {"ref": "jvdmbp/notebook-00722639190ced3229ea", "kernel_id": "57306"}, {"ref": "wolfreturns/exploring-features", "kernel_id": "57444"}, {"ref": "spellkiller/notebook-b109d10c8dc010b1e720", "kernel_id": "58341"}, {"ref": "spellkiller/notebook-a120b38c7d2dbb119d5f", "kernel_id": "57707"}, {"ref": "marcad/logistic-reg", "kernel_id": "57771"}, {"ref": "marcad/notebook-7a27c59399fe038cd826", "kernel_id": "57773"}, {"ref": "vakuona/notebook-329d32e14e3f4c19712c", "kernel_id": "57961"}, {"ref": "arnbition/notebook-d1d9ee14dad1bba46626", "kernel_id": "57960"}, {"ref": "arnbition/notebook-38a74f600b5aa2258676", "kernel_id": "57904"}, {"ref": "marcburt/notebook-cad457c079aace80cc57", "kernel_id": "60108"}, {"ref": "templar/visualization", "kernel_id": "58845"}, {"ref": "kartoffelheinz/testmmm", "kernel_id": "59474"}, {"ref": "kartoffelheinz/alpy-111", "kernel_id": "59528"}, {"ref": "loudog/testd", "kernel_id": "59906"}, {"ref": "loudog/testb", "kernel_id": "59907"}, {"ref": "omotofine/pca-and-k-means", "kernel_id": "59808"}, {"ref": "yangchang/notebook-d342b163cfe3657942c2", "kernel_id": "60211"}, {"ref": "yangchang/notebook-08e0b180dcbd27bee956", "kernel_id": "60242"}, {"ref": "vineetkothari/exploring-features", "kernel_id": "96575"}, {"ref": "zenithfzh/exploring-features", "kernel_id": "93075"}, {"ref": "jingxlin/exploring-features", "kernel_id": "63930"}, {"ref": "jgines/notebook-228efe92f99d6c0ce8fe", "kernel_id": "61477"}, {"ref": "xllouis/notebookf759b5d15e", "kernel_id": "90879"}, {"ref": "allatarighati/notebook02e03a7a18", "kernel_id": "105430"}, {"ref": "wenbozhao/notebookdb9a85886a", "kernel_id": "97679"}, {"ref": "nitink12/nitin-test", "kernel_id": "88905"}, {"ref": "nitink12/nitin-test2", "kernel_id": "89079"}, {"ref": "nitink12/nitin-test3", "kernel_id": "89340"}, {"ref": "nitink12/nitin-test4", "kernel_id": "90861"}, {"ref": "fujimotec/santander-test", "kernel_id": "64642"}, {"ref": "fujimotec/notebook-f5feeebe3f441d972ca6", "kernel_id": "64652"}, {"ref": "unclelv/exploring-features", "kernel_id": "109086"}, {"ref": "unclelv/exploring-features-1c260d28", "kernel_id": "109603"}, {"ref": "praneethvarmapv/notebook0f8ae3e7b9", "kernel_id": "110181"}, {"ref": "campbellchristopher/exploring-features", "kernel_id": "80694"}, {"ref": "campbellchristopher/notebook-f7e2d83f698c7f45ab76", "kernel_id": "80697"}, {"ref": "naughtysquash/santander-logistics-regression", "kernel_id": "82256"}, {"ref": "naughtysquash/notebook1997224f1b", "kernel_id": "87042"}, {"ref": "jay23jack/exploring-features", "kernel_id": "67430"}, {"ref": "msamogh/exploring-features", "kernel_id": "91013"}, {"ref": "jdj081/exploring-features", "kernel_id": "67650"}, {"ref": "jdj081/notebook-9be477ab14213780293e", "kernel_id": "67651"}, {"ref": "sasakiwilson/notebook9a30bf21e3", "kernel_id": "110610"}, {"ref": "tuanndd/xgboost-on-santander-dataset", "kernel_id": "105720"}, {"ref": "tuanndd/notebook6abe95fb08", "kernel_id": "105318"}, {"ref": "rfanlo/notebook-57abe96b51d1ca3fe65e", "kernel_id": "77188"}, {"ref": "rfanlo/notebook-61c021d445091af376a4", "kernel_id": "77191"}, {"ref": "rfanlo/notebook-0755c6b16f6d96f1ef78", "kernel_id": "77180"}, {"ref": "rfanlo/notebook-957c39cb1bb86a956bff", "kernel_id": "77181"}, {"ref": "raptor/exploring-features", "kernel_id": "69689"}, {"ref": "raptor/notebook-3814932bb8a36fd1a6e7", "kernel_id": "70576"}, {"ref": "jinger123/notebook056932c9dc", "kernel_id": "93739"}, {"ref": "jinger123/pca-xgbosst", "kernel_id": "128469"}, {"ref": "jinger123/exploring-features-73e40a63", "kernel_id": "130260"}, {"ref": "jinger123/exploring-features", "kernel_id": "103173"}, {"ref": "frankyoung/exploring-features", "kernel_id": "80948"}, {"ref": "vamsiry/notebook862a7dca7b", "kernel_id": "91496"}, {"ref": "johnsondata/exploring-features", "kernel_id": "118641"}, {"ref": "johnsondata/exploring-features-3b8d69b5", "kernel_id": "168644"}, {"ref": "nsquared/exploring-features", "kernel_id": "92247"}, {"ref": "sugiantolauw/advanced-feature-exploration", "kernel_id": "86665"}, {"ref": "sugiantolauw/exploring-features", "kernel_id": "86662"}, {"ref": "sugiantolauw/basic-feature-exploration", "kernel_id": "86663"}, {"ref": "chenmeng0527/santander", "kernel_id": "76961"}, {"ref": "chleonhart/notebookdd1206c894", "kernel_id": "89556"}, {"ref": "jdyojdyo/exploring-feature", "kernel_id": "94359"}, {"ref": "jdyojdyo/notebookfe3a35760c", "kernel_id": "94355"}, {"ref": "cnukaus/exploring-features-c1c04305", "kernel_id": "90273"}, {"ref": "cnukaus/exploring-features-0488a82a", "kernel_id": "89185"}, {"ref": "cnukaus/exploring-features-xy-fork", "kernel_id": "89172"}, {"ref": "cnukaus/exploring-features-af7d70be", "kernel_id": "89420"}, {"ref": "cnukaus/exploring-features-16097b8d", "kernel_id": "89517"}, {"ref": "cnukaus/exploring-features-baa6fc6e", "kernel_id": "89468"}, {"ref": "yuanxu/exploring-features-68b18f73", "kernel_id": "91792"}, {"ref": "yuanxu/exploring-features", "kernel_id": "91787"}, {"ref": "yuantorius/exploring-features", "kernel_id": "81379"}, {"ref": "lilianapdam/notebook3d186981ff", "kernel_id": "90440"}, {"ref": "kmilitagaitan/principal-components-analysis", "kernel_id": "90459"}, {"ref": "lauraarias/pca-components-laura-arias-juan-moreno", "kernel_id": "90397"}, {"ref": "themarv/exploring-features", "kernel_id": "109923"}, {"ref": "danielmo123/notebookf46ab31dc9", "kernel_id": "86914"}, {"ref": "larriemo/gr-ficos-lorena-arrieta-y-andr-s-parra", "kernel_id": "90441"}, {"ref": "fredlyy/exploring-features", "kernel_id": "96529"}, {"ref": "shitman/exploring-features-9f5c5ac3", "kernel_id": "99250"}, {"ref": "shitman/exploring-features", "kernel_id": "94982"}, {"ref": "felimartinez/an-lisis-bs-liliana-pineda-felipe-martinez", "kernel_id": "90472"}, {"ref": "felimartinez/pipelon", "kernel_id": "89145"}, {"ref": "mdbmilkov/exploring-features", "kernel_id": "95416"}, {"ref": "wutao1530663/exploring-features", "kernel_id": "88880"}, {"ref": "theone10211024/exploring-features", "kernel_id": "89518"}, {"ref": "theone10211024/exploring-features-5c8e3fdf", "kernel_id": "89994"}, {"ref": "klykly/notebook3450199ed4", "kernel_id": "239606"}, {"ref": "fatwhale/exploring-features", "kernel_id": "90267"}, {"ref": "subhadeepb4/feature-ranges", "kernel_id": "141408"}, {"ref": "gouxute1/xgboost-and-simple-data-cleaning", "kernel_id": "139640"}, {"ref": "gouxute1/3rd-solution-test", "kernel_id": "145174"}, {"ref": "alexun/notebook7cf3afa1f3", "kernel_id": "130876"}, {"ref": "pulcherada/notebookc23bce996d", "kernel_id": "118198"}, {"ref": "s3ni0r/exploring-features", "kernel_id": "93046"}, {"ref": "cpngo0/exploring-features", "kernel_id": "176143"}, {"ref": "christina1994/notebook5c6416cedf", "kernel_id": "117095"}, {"ref": "etignone/exploring-features", "kernel_id": "97904"}, {"ref": "dimamir999/notebook1bb5df895a", "kernel_id": "113438"}, {"ref": "kamalsam/santander-customer-satisfication-practice", "kernel_id": "223993"}, {"ref": "redfruit/exploring-features", "kernel_id": "98006"}, {"ref": "sgdantas/exploring-features", "kernel_id": "99055"}, {"ref": "muriyizz/gogogo", "kernel_id": "140540"}, {"ref": "richarlee/satisfaction-richarlee", "kernel_id": "138059"}, {"ref": "xgwong0815/exploring-features", "kernel_id": "111020"}, {"ref": "knighthawk989/notebooke327f20a9b", "kernel_id": "203599"}, {"ref": "mhaouach/notebook5930017c38", "kernel_id": "265934"}, {"ref": "hansky/exploring-features-656bfe37", "kernel_id": "121943"}, {"ref": "rockandrolla13/advanced-feature-exploration", "kernel_id": "108510"}, {"ref": "edisonlg/exploring-features", "kernel_id": "111674"}, {"ref": "fanshaohua/exploring-features", "kernel_id": "111619"}, {"ref": "datascientist78/notebook87b35210e8", "kernel_id": "240935"}, {"ref": "datascientist78/santandercustsatis", "kernel_id": "240936"}, {"ref": "dmrasjvj/notebookda772c392a", "kernel_id": "133612"}, {"ref": "weif163/xgbost-outliers-var15", "kernel_id": "172306"}, {"ref": "jdallet/notebookddd743ce89", "kernel_id": "182630"}, {"ref": "jdallet/notebookff220a229c", "kernel_id": "182656"}, {"ref": "abhishekaarush/exploring-features", "kernel_id": "142010"}, {"ref": "kndiaye1/santander-satisfaction-v1", "kernel_id": "182114"}, {"ref": "martianlee/notebook4c1f363a40", "kernel_id": "221692"}, {"ref": "martianlee/notebook69c32f082e", "kernel_id": "221009"}, {"ref": "martianlee/notebooke7fcc2484e", "kernel_id": "221098"}, {"ref": "martianlee/notebooke35cb8058c", "kernel_id": "221093"}, {"ref": "martianlee/notebookc61bff6b38", "kernel_id": "221095"}, {"ref": "hkreddy/notebookd3e55a8c34", "kernel_id": "276395"}, {"ref": "sjch1988/notebookec5fa98f55", "kernel_id": "212157"}, {"ref": "gurulhu/0-83-score-with-36-features-only", "kernel_id": "220669"}, {"ref": "matheusmesquita/test1", "kernel_id": "221025"}, {"ref": "aongao/santander-customer-satisfaction", "kernel_id": "390429"}, {"ref": "leagto/santander-customer-satisfaction-leandro-soares", "kernel_id": "222341"}, {"ref": "leagto/notebook231e0951b3", "kernel_id": "222339"}, {"ref": "leagto/notebookca22f761dc", "kernel_id": "221465"}, {"ref": "rainobowzhang/notebookf0475dae2f", "kernel_id": "230523"}, {"ref": "airelly/notebookc18e4ef1e5", "kernel_id": "233662"}, {"ref": "haakanpersson/santander-customer-satisfaction-example", "kernel_id": "297071"}, {"ref": "silverlaws/my-trial", "kernel_id": "253771"}, {"ref": "wdarwinjr/icmc-intro-aprend-m-quina-06-2017-grupo-darwin", "kernel_id": "273866"}, {"ref": "drunkbear2/to-the-top-v3", "kernel_id": "280607"}, {"ref": "alinesantos/projeto-am-basics", "kernel_id": "458201"}, {"ref": "xagor1/santander-part-2", "kernel_id": "747287"}, {"ref": "seifeleslam/udacity-capstone-santander-customer-satisfaction", "kernel_id": "981521"}, {"ref": "wesamelshamy/what-the-features-mean", "kernel_id": "1170817"}, {"ref": "gauravgupta1991/eda-book-ipynb", "kernel_id": "1001165"}, {"ref": "rakesh6184/lasso-and-ridge-regularisation-286269", "kernel_id": "1646009"}, {"ref": "rakesh6184/lasso-and-ridge-regularisation", "kernel_id": "1644415"}, {"ref": "raviprakash438/lasso-and-ridge-regularisation", "kernel_id": "1096152"}, {"ref": "raviprakash438/filter-method-feature-selection", "kernel_id": "1091246"}, {"ref": "vaggelis996/xgboost-with-early-stopping", "kernel_id": "1079102"}, {"ref": "vasanthnagarajan/customer-satisfaction-data-analysis", "kernel_id": "1046470"}, {"ref": "naresh31/santander-customer-satisfaction", "kernel_id": "2587402"}, {"ref": "mitulshah97/santander", "kernel_id": "2370814"}, {"ref": "naushads/customer-happiness-prediction", "kernel_id": "3324379"}, {"ref": "mynamesp/random-forest-with-ranger", "kernel_id": "3060796"}, {"ref": "alefsegura/santander-prediction", "kernel_id": "3404190"}, {"ref": "kamusone/prediction-model-with-xgboost", "kernel_id": "3543553"}, {"ref": "bakshitarun/santander-customers", "kernel_id": "3127093"}, {"ref": "wassim10/santander-happy-costumer", "kernel_id": "3587441"}, {"ref": "tmkggl/santander-customer-transaction-prediction-xgboost", "kernel_id": "3778906"}, {"ref": "ohi091/pca-visualization-on-customer-satisfaction", "kernel_id": "3657647"}, {"ref": "vikasmalhotra08/regularization-lasso-ridge", "kernel_id": "4085429"}, {"ref": "anilkay/experiments", "kernel_id": "4850517"}, {"ref": "antonias/automatic-feature-selection-xgb-and-rf", "kernel_id": "4719294"}, {"ref": "zygimantaskazlauskas/bclassproject-santandercustomersatisfaction", "kernel_id": "4396002"}, {"ref": "rolandas1369/santander-customer-satisfaction", "kernel_id": "4513376"}, {"ref": "linyemin/use-xgboost-and-split-trainset", "kernel_id": "5654204"}, {"ref": "ashuprasadgermany/ml-group-assignment", "kernel_id": "5896622"}, {"ref": "eudmar/customer-satisfaction-level-with-xgboost", "kernel_id": "5742899"}, {"ref": "marlonferrari/santander-customer-satisfaction", "kernel_id": "5301388"}, {"ref": "mattkibassa/xgbclassifier-and-confusion-matrix", "kernel_id": "6074307"}, {"ref": "ruchibahl18/customer-classification", "kernel_id": "6556076"}, {"ref": "shiku0/santander-customer-satisfaction-analysis", "kernel_id": "6300917"}, {"ref": "aeiyuni/santander-customer-satisfaction", "kernel_id": "6238569"}, {"ref": "ammar0211/santander-customer-satisfaction", "kernel_id": "6049705"}, {"ref": "hedluund/santander-task-using-pyspark", "kernel_id": "6582141"}, {"ref": "prashant111/comprehensive-guide-on-feature-selection", "kernel_id": "7797138"}, {"ref": "adage14175/santander-customer-satisfaction-notebook2", "kernel_id": "7202665"}, {"ref": "bartomolina/decision-tree-and-random-forest", "kernel_id": "7519744"}, {"ref": "bartomolina/resampling", "kernel_id": "7518630"}, {"ref": "bartomolina/feature-exploration-and-dataset-preparation", "kernel_id": "7499347"}, {"ref": "bartomolina/pca-principal-component-analysis", "kernel_id": "7504686"}, {"ref": "bartomolina/xgboost", "kernel_id": "7536089"}, {"ref": "mogado/santander-bank-kneighbors-algorithm", "kernel_id": "7432893"}, {"ref": "kashga/eda-data-clean-pyspark-pyspark-ml", "kernel_id": "7903036"}, {"ref": "ayakhaled2/santander-customer-satisfaction", "kernel_id": "8282966"}, {"ref": "akshat0007/santander-customer-satisfaction-xgboost", "kernel_id": "8918582"}, {"ref": "qqdq5525/0-83-score-with-36-features-only", "kernel_id": "8057191"}, {"ref": "gugankailasam/santander-customer-satisfaction-svm-neuralnet", "kernel_id": "8872373"}, {"ref": "stuffandthings/occam-s-razor-a-walk-through-of-classical-models", "kernel_id": "9288794"}, {"ref": "saga21/customer-satisfaction-models-explainability", "kernel_id": "9220611"}, {"ref": "sirslade/kernel6924c55248", "kernel_id": "9367470"}, {"ref": "saisatish09/a-beginner-s-guide-to-feature-selection-methods", "kernel_id": "10140650"}, {"ref": "sreevats2201/imbalanced-data-resampling-technique", "kernel_id": "10052008"}, {"ref": "srinivasdasu/santander-customer-satisfaction", "kernel_id": "10986053"}, {"ref": "meet3010/santander-customer-satisfcation-using-cnn", "kernel_id": "10037683"}, {"ref": "jitendrakumart/santander-customer-satisfaction", "kernel_id": "10988054"}, {"ref": "tecnologiamorpheus/morpheus-santander-v01", "kernel_id": "10960426"}, {"ref": "jinameliachoi/tutorial-santander-customer-satisfaction", "kernel_id": "11761810"}, {"ref": "thkim072/santander-customer-satisfaction", "kernel_id": "11322175"}, {"ref": "leandrofusco88/santander-customer", "kernel_id": "11622042"}, {"ref": "funxexcel/santander-voting-classifier", "kernel_id": "12569771"}, {"ref": "funxexcel/santander-xgb-pipeline-auc-0-80", "kernel_id": "12569237"}, {"ref": "funxexcel/santander-pipeline-auc-0-79", "kernel_id": "12567727"}, {"ref": "slavavvv/santander-svyatoslav-linear-reg", "kernel_id": "12898105"}, {"ref": "hiro1005/santander-customer-satisfaction", "kernel_id": "12055611"}, {"ref": "carlmcbrideellis/tabnet-simple-binary-classification-example", "kernel_id": "12664506"}, {"ref": "grishmamodi/feature-selection", "kernel_id": "12486975"}, {"ref": "leechinghoe/customer-satisfaction-xgboost-smote-gridsearch", "kernel_id": "12253294"}, {"ref": "razoli/using-undersampling-and-oversampling-with-xgboost", "kernel_id": "13266111"}, {"ref": "shuklrohit/santander-customer-satisfaction-all-in-one", "kernel_id": "13386092"}, {"ref": "hrideshkohli/customer-satisfaction-prediction-cnn-tf2-0-keras", "kernel_id": "13076349"}, {"ref": "softhoon/santander-customer-satisfaction", "kernel_id": "13323288"}, {"ref": "akshatvishnoi/notebook-gpu", "kernel_id": "13888005"}, {"ref": "cerolacia/customer-satisfaction", "kernel_id": "13923283"}, {"ref": "chachiawacef/95-accuracy-santander-customer-satisfaction", "kernel_id": "13758439"}, {"ref": "solegalli/feature-selection-with-feature-engine", "kernel_id": "14369472"}, {"ref": "solegalli/customer-satisfaction-with-imbalanced-data", "kernel_id": "14740183"}, {"ref": "ar89dsl/genetic-algo-feature-selection-hyperparameters", "kernel_id": "14033329"}, {"ref": "dogdriip/santender-pipeline-xgb-selectkbest-pca", "kernel_id": "14000473"}, {"ref": "jhskaggle/p14-ensemble-learning-ii-answer", "kernel_id": "14515892"}, {"ref": "bakivh/santander-sat", "kernel_id": "15926377"}, {"ref": "mingleisong/autogluon-10k", "kernel_id": "15296870"}, {"ref": "denisecheng/preprocessing-selectkbest-xgb", "kernel_id": "15189682"}, {"ref": "domartinez992/regresi-n-log-stica", "kernel_id": "16540495"}, {"ref": "domartinez992/tabnet-simple-binary-classification-example", "kernel_id": "16311799"}, {"ref": "adityasingh3519/feature-selection-for-machine-learning", "kernel_id": "16476788"}, {"ref": "hikmetsezen/blend-boosting-best-score-stantander-cus-satisf", "kernel_id": "16780028"}, {"ref": "hikmetsezen/best-score-on-santander-customer-transaction-pred", "kernel_id": "16790451"}, {"ref": "jerifate/customer-satisfaction-modeling-logistic-lgbm", "kernel_id": "16099478"}, {"ref": "sarahriravari/customer-satisfaction", "kernel_id": "16337295"}, {"ref": "seokinshim/customer-satisfaction-using-xgboost", "kernel_id": "16898979"}, {"ref": "lair0826/eda-for-start-base-model", "kernel_id": "17299702"}, {"ref": "adarshsng/extensive-advance-feature-selection-tutorial", "kernel_id": "17893730"}, {"ref": "siddharthtyagi/feature-selection-techniques", "kernel_id": "17398930"}, {"ref": "akouaorsot/santander-customer-satisfaction-classification", "kernel_id": "17267151"}, {"ref": "shefalishettyy/feature-selection", "kernel_id": "17099485"}, {"ref": "rahulanand0070/feature-selection", "kernel_id": "18054773"}, {"ref": "baarreten/classification-with-feature-engine-library", "kernel_id": "18654224"}, {"ref": "antoreepjana/deep-learning-approaches-for-tabular-datasets", "kernel_id": "18093301"}, {"ref": "omeshkaushik/gaussiannb-pca", "kernel_id": "18957438"}, {"ref": "omeshkaushik/xgboost-smote", "kernel_id": "18908194"}, {"ref": "antonmikhalev/groupby-lama-new-features-3", "kernel_id": "19903839"}, {"ref": "antonmikhalev/lightautoml-santander-customer-satisfaction-2", "kernel_id": "19863853"}, {"ref": "nulikrishna/98-with-pca-randomforest", "kernel_id": "19268018"}, {"ref": "kishu1669/version-1", "kernel_id": "20495312"}, {"ref": "kishu1669/santandar-saurabh", "kernel_id": "20495784"}, {"ref": "carlmcbrideellis/tabular-classification-with-neural-networks-keras", "kernel_id": "20414075"}, {"ref": "nandha13/feature-engineering-xgb-feature-selection", "kernel_id": "20580532"}, {"ref": "staticpranav/customer-satisfaction-prediction", "kernel_id": "20528001"}, {"ref": "williamleewc/cis-508-a1-p1", "kernel_id": "20475992"}, {"ref": "solegalli/machine-learning-with-imbalanced-data", "kernel_id": "21235291"}, {"ref": "solegalli/nested-hyperparameter-spaces-with-optuna", "kernel_id": "21258190"}, {"ref": "s903124/to-the-top-v2-training", "kernel_id": "21111339"}, {"ref": "s903124/to-the-top-v2-training-rf", "kernel_id": "22352970"}, {"ref": "s903124/to-the-top-v2-training-untuned", "kernel_id": "22154815"}, {"ref": "s903124/to-the-top-v2-training-logistic", "kernel_id": "22155314"}, {"ref": "kalelpark/xgboost-for-kor-eng", "kernel_id": "22953780"}, {"ref": "omkarkhandekar/customer-satisfaction-try-with-xgb-pca-smote", "kernel_id": "22711622"}, {"ref": "ammarsayedtaha/santander-customer-satisfaction-xgboost", "kernel_id": "23796193"}, {"ref": "rsesha/featurewiz-vs-feature-engine-in-imbalanced-data", "kernel_id": "24970614"}, {"ref": "s903124/to-the-top-v2-training-mlp", "kernel_id": "24980293"}, {"ref": "s903124/to-the-top-v2-training-cnn", "kernel_id": "24265937"}, {"ref": "pratik1120/customer-satisfaction-project", "kernel_id": "24571182"}, {"ref": "parisrohan/customer-satisfaction", "kernel_id": "25073603"}, {"ref": "muhammadsaepurrohman/comprehensive-guide-on-feature-selection", "kernel_id": "25669771"}, {"ref": "rocklen/santander-customer-satisfaction", "kernel_id": "25831055"}, {"ref": "hsiangjenli/scikit-learn-santander-customer-satisfaction", "kernel_id": "25070735"}, {"ref": "patryckaug/gabriel-patryck-data-masters-2022", "kernel_id": "26700964"}, {"ref": "brunovpm/dm-santander", "kernel_id": "26749089"}, {"ref": "raphaelcs/raphaelcs-santander-customer-satisfaction", "kernel_id": "26335098"}, {"ref": "baptistedelquignies/compet-1-santander", "kernel_id": "26044381"}, {"ref": "jasonsautieres/santander", "kernel_id": "26044364"}, {"ref": "guillaumeminne/santander-customer-satisfaction", "kernel_id": "26044361"}, {"ref": "julesrobert/challenge-santander", "kernel_id": "26044392"}, {"ref": "ghf8nb9v7ns9dkxl/challenge-santander", "kernel_id": "26645407"}, {"ref": "branlantthodorine/santander-customer-satisfaction", "kernel_id": "27186670"}, {"ref": "firstkits/xgboost-and-lightgbm-with-smote-using-santander-cs", "kernel_id": "29775174"}, {"ref": "sambhavratna/basic-ann-approach-to-santander-cust-satisfaction", "kernel_id": "29216797"}, {"ref": "yeonseokcho/santander-customer-satisfaction-mlpclassifier", "kernel_id": "30731705"}, {"ref": "shavilyarajput/santander-customer-satisfaction", "kernel_id": "30794526"}, {"ref": "xiefei/06-santander-customer-satisfaction", "kernel_id": "31609544"}, {"ref": "niravnaik/santander-ml-decisiontreeclassifier-bagging", "kernel_id": "32498538"}, {"ref": "yashpl11/santander-competition", "kernel_id": "32379565"}, {"ref": "aimvarpe/santander-customer-satifactions", "kernel_id": "32379652"}, {"ref": "inglepradeep/santander", "kernel_id": "32420095"}, {"ref": "abdulaminafridi/feature-selection-on-santander-customer-satisfacti", "kernel_id": "33119930"}, {"ref": "pabangiri/feature-selection-using-variance", "kernel_id": "33653151"}, {"ref": "pabangiri/featue-selection-with-pearson-correlation", "kernel_id": "33653600"}, {"ref": "cjhnamespace/santander-lightgbm-optuna", "kernel_id": "34976959"}, {"ref": "sownikturaga96/santander-customer-satisfaction-prediction", "kernel_id": "35232674"}, {"ref": "antoniobrych/feature-selection-is-gold-xgboost-and-nns", "kernel_id": "35386353"}, {"ref": "luisantoniomezachan/customer-satisfaction-mcdi", "kernel_id": "35273702"}, {"ref": "sabahesaraki/comprehensive-guide-on-feature-selection", "kernel_id": "35548486"}, {"ref": "sownikturaga96/santander-prediction-using-xgboost", "kernel_id": "36334682"}, {"ref": "luisantoniomezachan/mcdi-customer-satisfaction-project", "kernel_id": "36973586"}, {"ref": "padparascha/santander-customer-satisfaction", "kernel_id": "36225521"}, {"ref": "emanuellinares/fork-of-customer-satisfaction-mcdi-jelr", "kernel_id": "37764843"}, {"ref": "abdelrahmanhemdan/ciencias-de-datos-tarea-2", "kernel_id": "37386282"}, {"ref": "luccaz/csi-22", "kernel_id": "40772215"}, {"ref": "cpariver/santander-customer-satisfaction-clf-using-lgbm", "kernel_id": "40148165"}, {"ref": "cpariver/santander-customer-satisfaction-clf-using-xgboost", "kernel_id": "40124388"}, {"ref": "carlosasdesouza/lightgbmsantander", "kernel_id": "41010544"}, {"ref": "surajpradeepkumar/santander-customer-satisfaction", "kernel_id": "41681869"}, {"ref": "oldjerry/notebook-imbalance-model", "kernel_id": "41482498"}, {"ref": "valeriamulina/santander-customer-satisfaction-prediction-ann", "kernel_id": "42604509"}, {"ref": "learnerscapital/feature-selection", "kernel_id": "44464990"}, {"ref": "uviiiii/project-customer-satisfaction", "kernel_id": "51769729"}, {"ref": "tohidyousefi/using-hybrid-basic-filter-based-feature-selection", "kernel_id": "51812069"}, {"ref": "krippanandhini/reducing-columns", "kernel_id": "52732141"}, {"ref": "hobeomlee/classification-using-bayesian-optimization", "kernel_id": "54315496"}, {"ref": "carlmcbrideellis/santander-autogluon-1-1-0-binary-classification", "kernel_id": "55039249"}, {"ref": "carlmcbrideellis/bluecast-binary-classification-example", "kernel_id": "55547538"}, {"ref": "sebastinazamaravils/santander-satisfaction", "kernel_id": "57039904"}, {"ref": "somendrew/santander-customer-satisfaction", "kernel_id": "58023652"}, {"ref": "agileteam/sc-baseline-0-83", "kernel_id": "60911097"}, {"ref": "agileteam/tip-santander-customer", "kernel_id": "60849116"}, {"ref": "hanryang/santander-customer-satisfaction", "kernel_id": "60914203"}, {"ref": "mohamedlazaar2/very-basic-xgbclassifier", "kernel_id": "60064012"}, {"ref": "taehunkoo/santander-customer-satisfaction-aiffel-ds2-koo", "kernel_id": "60915009"}, {"ref": "sieunkim03/scs-240626-0-83", "kernel_id": "60914091"}, {"ref": "abenezertesfaye/santander-customer-satisfaction-xgboost", "kernel_id": "62580985"}, {"ref": "cardata/santander-customer-satisfaction", "kernel_id": "62585327"}, {"ref": "adhul000/santander-customer-satisfaction", "kernel_id": "62514282"}, {"ref": "sujiq9707/santander-customer-satisfaction", "kernel_id": "63532275"}, {"ref": "naveenn004/customer-satifaction", "kernel_id": "65804799"}, {"ref": "hungdx0905/comprehensive-guide-on-feature-selection", "kernel_id": "65271135"}, {"ref": "elasgustavoknaus/binary-class-santander-customer-satisfaccion", "kernel_id": "65403337"}, {"ref": "khanumborhan/ciencias-de-datos-tarea-2", "kernel_id": "67149591"}, {"ref": "carlmcbrideellis/catboost-classifier-minimal-example", "kernel_id": "68351584"}, {"ref": "carlmcbrideellis/lightgbm-classifier-minimal-example", "kernel_id": "68351887"}, {"ref": "carlmcbrideellis/xgboost-classifier-minimal-example", "kernel_id": "68352537"}, {"ref": "carlmcbrideellis/perpetualbooster-classifier-minimal-example", "kernel_id": "68348145"}, {"ref": "carlmcbrideellis/xgb-random-forest-classifier-minimal-example", "kernel_id": "68371733"}, {"ref": "thomasmeiner/bluecast-binary-classification-example", "kernel_id": "68379534"}, {"ref": "franciscogcc/xgboost-with-regularization", "kernel_id": "68912464"}, {"ref": "scarletmclearn/feature-selection-guide", "kernel_id": "69170807"}, {"ref": "nupurpimprikar/notebook9e183c0f2d", "kernel_id": "69699394"}, {"ref": "ihanchien/exploratory-data-analysis", "kernel_id": "69527955"}, {"ref": "shriyanolastname/ml-decisiontree1", "kernel_id": "69699895"}, {"ref": "yuchinchen1015/decision-tree-1", "kernel_id": "69693664"}, {"ref": "s903124/to-the-top-v2-training-tabm", "kernel_id": "70585057"}, {"ref": "zyh1104/03-santander-customer-satisfaction", "kernel_id": "70915804"}, {"ref": "carlmcbrideellis/filtering-outliers-using-inverse-pca", "kernel_id": "71227746"}, {"ref": "ksmooi/santander-customer-satisfaction-xgbclassifier", "kernel_id": "71114884"}, {"ref": "eeetteee/santander-customer-satisfaction", "kernel_id": "71885623"}, {"ref": "eeetteee/customer-satisfaction-modeling-logistic-lgbm", "kernel_id": "72085749"}, {"ref": "jinjhuh/santander-customer-satisfaction-01c75c", "kernel_id": "72144570"}, {"ref": "ashlynkirsch/notebook09127dc48a", "kernel_id": "73003113"}, {"ref": "s903124/to-the-top-v2-training-rf-tabpfnv2", "kernel_id": "74331188"}, {"ref": "antonellagiglio/students-performance-in-exams", "kernel_id": "76545892"}, {"ref": "annaponomarchuk/santander-customer-satisfaction", "kernel_id": "78586434"}, {"ref": "sumelahmad/xgboost-model-for-santander-customer-satisfaction", "kernel_id": "78065614"}, {"ref": "bengtholm/machine-learning-with-imbalanced-data", "kernel_id": "80745710"}, {"ref": "sezginkyle/tryna-get-medal-0-79-acc-santander-customer-satisf", "kernel_id": "89389183"}, {"ref": "emrullahyediyildiz/santander-customer-satisfaction", "kernel_id": "90483866"}, {"ref": "nejumi/santander-customer-satisfaction-with-tabpfn", "kernel_id": "92218575"}, {"ref": "domartinez992/first-trial", "kernel_id": "98484802"}, {"ref": "liulin60/notebook6d10195e30", "kernel_id": "102153275"}, {"ref": "handeharmankaya/customer-satisfaction-prediction", "kernel_id": "103750934"}, {"ref": "sairasagnak/internal-2-practice", "kernel_id": "104519654"}, {"ref": "reesefinch/santander", "kernel_id": "104376351"}, {"ref": "nourahalotaibi1/pca-customer-satisfaction", "kernel_id": "114692745"}, {"ref": "nourahalotaibi1/customer-satisifaction-pca", "kernel_id": "114882944"}, {"ref": "baderalharan/coding-problem-3-bader-alharan", "kernel_id": "114294261"}, {"ref": "sebaalenezi/sebaalenezi-problem-3", "kernel_id": "114877841"}, {"ref": "maialghadhouri/santander-customer-satisfaction", "kernel_id": "114700199"}, {"ref": "nourahalotaibi1/pca-customer", "kernel_id": "115369512"}, {"ref": "wakizashe/santander-classification-modified-neural-network", "kernel_id": "115511103"}, {"ref": "abdullahalmunayae/dai-502-assignment-3-final-version", "kernel_id": "115371624"}, {"ref": "subhamkalwar04/myntbook", "kernel_id": "115766413"}, {"ref": "potapovaolesya/pr3-n2", "kernel_id": "115913139"}, {"ref": "awing11/tabular-classification-with-neural-networks-keras", "kernel_id": "121426057"}]}
{"competition_id": "4996", "kernels": []}
{"competition_id": "5001", "kernels": []}
{"competition_id": "5024", "kernels": []}
{"competition_id": "5033", "kernels": []}
{"competition_id": "5039", "kernels": [{"ref": "anfer86/notebook-2726336afb0378f94d8e", "kernel_id": "75980"}, {"ref": "anfer86/notebook-83fb8290afb14bf20f35", "kernel_id": "69263"}, {"ref": "anfer86/notebook-89744c541b24fa9a0ea3", "kernel_id": "69283"}, {"ref": "anfer86/first-example", "kernel_id": "69288"}, {"ref": "anfer86/notebook-f243da77c9111d646a43", "kernel_id": "69298"}, {"ref": "anfer86/notebook-6ae99de08723c8535143", "kernel_id": "69299"}, {"ref": "greyshad0/take-a-look-at-the-data", "kernel_id": "79811"}, {"ref": "greyshad0/notebook-5447bf3e8e963a18486d", "kernel_id": "80109"}, {"ref": "greyshad0/notebook-561dbb441c93764776a8", "kernel_id": "80110"}, {"ref": "fishandjess/datana", "kernel_id": "72729"}, {"ref": "scottwied/xgb-and-quick-and-dirty-ensemble", "kernel_id": "62560"}, {"ref": "shaksharf/notebook-99a408effaa694cc3fc4", "kernel_id": "61254"}, {"ref": "shaksharf/notebook-586340b282042527ccc8", "kernel_id": "61255"}, {"ref": "shaksharf/notebook-213bd7035b0973d5bd4a", "kernel_id": "61257"}, {"ref": "shaksharf/notebook-7a66c88ab56a0f096943", "kernel_id": "61264"}, {"ref": "bonarius/notebook-1fe0cf50f209f30ebc38", "kernel_id": "51128"}, {"ref": "jcp1016/notebook-007b944d719cb8e44f4d", "kernel_id": "64067"}, {"ref": "yellowduck/take-a-look-at-the-data", "kernel_id": "164075"}, {"ref": "yellowduck/dog-breeds-dog-groups", "kernel_id": "164077"}, {"ref": "wendykan/list-files", "kernel_id": "47966"}, {"ref": "hamelhusain/seeiflibraryloads", "kernel_id": "78267"}, {"ref": "hamelhusain/notebook-b4e50fa36998d7c601bf", "kernel_id": "78269"}, {"ref": "msjgriffiths/breed-n-grams-visualization", "kernel_id": "52069"}, {"ref": "msjgriffiths/data-exploration", "kernel_id": "52018"}, {"ref": "arjunpjhalda/notebook-808e5f117398b435bc60", "kernel_id": "57778"}, {"ref": "arjunpjhalda/notebook-5c890e427aad2f3f8410", "kernel_id": "57780"}, {"ref": "xiangze/notebook-b348d0c8ea0d5ffe4297", "kernel_id": "77094"}, {"ref": "timmcnamara/notebook-7d636e3a4bc531a2aa4e", "kernel_id": "63972"}, {"ref": "timmcnamara/notebook-02aa3fb476b7202a20d8", "kernel_id": "63960"}, {"ref": "timmcnamara/pawing-around", "kernel_id": "63961"}, {"ref": "naswin/notebook-3d73f5747eb7060ccbbb", "kernel_id": "80484"}, {"ref": "juandoso/simple-try-with-randomforest", "kernel_id": "51110"}, {"ref": "juandoso/notebook-774025d0596551dac14c", "kernel_id": "51117"}, {"ref": "juandoso/simple-rf", "kernel_id": "50590"}, {"ref": "ruimashita/notebook-c58de8a44090f69020c2", "kernel_id": "51016"}, {"ref": "zkancs/take-a-look-at-the-data", "kernel_id": "80048"}, {"ref": "zkancs/notebook-80e59620552768bd8390", "kernel_id": "80054"}, {"ref": "zkancs/shelter-animal-exploration", "kernel_id": "80395"}, {"ref": "zkancs/pandas-matplotlib", "kernel_id": "80396"}, {"ref": "zkancs/notebook-0c4bbf09783d9d5cd589", "kernel_id": "80397"}, {"ref": "zkancs/notebook-c751db6b79af1900f2ca", "kernel_id": "80399"}, {"ref": "zkancs/notebook-01ddb2bd895e9014c878", "kernel_id": "80400"}, {"ref": "zkancs/notebook-8750579a1c1d9c1adb20", "kernel_id": "80402"}, {"ref": "zkancs/notebook-011d780fdb6df0fec470", "kernel_id": "80403"}, {"ref": "bakiev/notebook-fc0db7bc1695aa6468a4", "kernel_id": "49535"}, {"ref": "bakiev/most-used-animal-names", "kernel_id": "49536"}, {"ref": "bakiev/clean-feat-fit-and-submit", "kernel_id": "76430"}, {"ref": "maupson/xgb-and-quick-and-dirty-ensemble", "kernel_id": "64492"}, {"ref": "jjghockey/notebook-205f934abd4359a727df", "kernel_id": "64487"}, {"ref": "jxnlco/notebook-30d3644d58a1c0480ebc", "kernel_id": "76704"}, {"ref": "kaggler110855/notebook-8b38c1c19ea6ac060456", "kernel_id": "60329"}, {"ref": "kaggler110855/shelter-notebook", "kernel_id": "60331"}, {"ref": "kaggler110855/notebook-f448faaa5629843056bf", "kernel_id": "60333"}, {"ref": "jamesallen/notebook-ccfb78c418ac951381c1", "kernel_id": "74562"}, {"ref": "jamesallen/notebook-e66ad31f38cf73f1e2a2", "kernel_id": "74558"}, {"ref": "jamesallen/notebook-db58b451f4e2ba7614eb", "kernel_id": "74274"}, {"ref": "jamesallen/notebook-5fed16efd1d48ccf3289", "kernel_id": "74036"}, {"ref": "jamesallen/notebook-4f1ac3f000e4b557f2a9", "kernel_id": "74037"}, {"ref": "jamesallen/notebook-cc6a5d1a0491d6a59a77", "kernel_id": "74034"}, {"ref": "sfourny/notebook-375b93401db94921bfcb", "kernel_id": "80344"}, {"ref": "sfourny/trying-the-kernel", "kernel_id": "80345"}, {"ref": "puneethmishra/notebook-2d0b6ee4ba976e910578", "kernel_id": "49903"}, {"ref": "puneethmishra/testing-pkm", "kernel_id": "49859"}, {"ref": "bgreenwell/notebook-cbc2ce80d2380fd0bb4d", "kernel_id": "48376"}, {"ref": "sinaasappel/exploring-shelter-animals-outcome-data", "kernel_id": "61751"}, {"ref": "sinaasappel/naming-animals", "kernel_id": "82156"}, {"ref": "cuttlefish/myfirstnotebook", "kernel_id": "72040"}, {"ref": "heaven/notebook-a3cb5e2bc6eb08357bde", "kernel_id": "62603"}, {"ref": "sidraina89/notebook-73f46d399a7d90003490", "kernel_id": "53338"}, {"ref": "sidraina89/python-animal-outcome-notebook", "kernel_id": "53326"}, {"ref": "sidraina89/animal-outcomes-r-notebook", "kernel_id": "53328"}, {"ref": "sidraina89/notebook-f142d4cd14588282c796", "kernel_id": "53331"}, {"ref": "sidraina89/notebook-2e824a7f59d84bf4e042", "kernel_id": "51992"}, {"ref": "sidraina89/my-notebook", "kernel_id": "50290"}, {"ref": "sidraina89/notebook-148eb8e57ce2f1286b20", "kernel_id": "50294"}, {"ref": "sidraina89/notebook-c2cb3d0019621c01a87a", "kernel_id": "76366"}, {"ref": "sidraina89/notebook-9b20b8aa3d94816b3eed", "kernel_id": "76359"}, {"ref": "sidraina89/notebook-d1241a0a67487d7f95f6", "kernel_id": "76314"}, {"ref": "sidraina89/notebook-fc80bd69ca5a30961621", "kernel_id": "76308"}, {"ref": "sidraina89/notebook-30786a5364ab7c740a1b", "kernel_id": "76296"}, {"ref": "sidraina89/predicting-shelter-animal-outcomes", "kernel_id": "76302"}, {"ref": "takita/notebook-222092b947ce1dc1c251", "kernel_id": "48880"}, {"ref": "josericardo/first-script", "kernel_id": "106693"}, {"ref": "josericardo/notebook3952388714", "kernel_id": "106694"}, {"ref": "david101/notebook-758bc278b77caefe923d", "kernel_id": "60471"}, {"ref": "ahmedas91/notebook-e5a17c727358b14c8288", "kernel_id": "74455"}, {"ref": "ahmedas91/exploring-the-data-in-python", "kernel_id": "74449"}, {"ref": "ahmedas91/notebook-b2d0a0ac20f591c81081", "kernel_id": "74462"}, {"ref": "ahmedas91/notebook-faffd0fefcd8e1ebb2f2", "kernel_id": "74166"}, {"ref": "ahmedas91/notebook-0ec33464ee9b4cee0438", "kernel_id": "74128"}, {"ref": "ahmedas91/test-sciprt", "kernel_id": "74129"}, {"ref": "ahmedas91/notebook-91ae58ce9831824fe1c9", "kernel_id": "74150"}, {"ref": "ayan1984/notebook-57eba8e4c0c4a68eb208", "kernel_id": "64597"}, {"ref": "calvinjku/take-a-look-at-the-data", "kernel_id": "101072"}, {"ref": "calvinjku/predict-outcome-for-shelter-animals", "kernel_id": "148314"}, {"ref": "linpingta/notebook-ab709f845cc3dc442e64", "kernel_id": "75952"}, {"ref": "potterxu/notebook-4f0a5571fccebe670a9e", "kernel_id": "53238"}, {"ref": "potterxu/notebook-5714f3877b52bd9187a0", "kernel_id": "56337"}, {"ref": "potterxu/dog-and-cat", "kernel_id": "55422"}, {"ref": "potterxu/r-notebook", "kernel_id": "55698"}, {"ref": "potterxu/notebook-e0a4266fe057509e00c4", "kernel_id": "55693"}, {"ref": "jaycb26/xgb-and-quick-and-dirty-ensemble", "kernel_id": "60247"}, {"ref": "jaycb26/shockscript", "kernel_id": "60250"}, {"ref": "jaycb26/xgboost-w-breed-color-feats-1", "kernel_id": "62081"}, {"ref": "jaycb26/xgboost-w-breed-color-feats1-0", "kernel_id": "61445"}, {"ref": "jaycb26/xgboost-w-breed-color-feats1-9", "kernel_id": "62605"}, {"ref": "jaycb26/tuned-xgboost-public-script", "kernel_id": "64114"}, {"ref": "eawharton/notebook-524c3692b86f9bdf6818", "kernel_id": "50313"}, {"ref": "eawharton/notebook-6fe7c4f65a2164b5465c", "kernel_id": "50315"}, {"ref": "ehines/notebook-138e22cf2cf42dce4d01", "kernel_id": "72937"}, {"ref": "jwjohnson314/notebook-8ed836a6f554e7e1d9f6", "kernel_id": "60085"}, {"ref": "jwjohnson314/xgb-and-quick-and-dirty-ensemble", "kernel_id": "60086"}, {"ref": "jwjohnson314/notebook-2b2a110a67aae322cfb7", "kernel_id": "60093"}, {"ref": "weilizhang/notebook-2cf51139e0ba34ab44a2", "kernel_id": "77253"}, {"ref": "felixk/notebook-ae7237a841d75a3503c0", "kernel_id": "67608"}, {"ref": "felixk/notebook-ad128b0a81e63f390a91", "kernel_id": "67609"}, {"ref": "matt15/clean-feat-fit-and-submit", "kernel_id": "66785"}, {"ref": "tereom/notebook-facb4de3f1fe89bf2c99", "kernel_id": "49076"}, {"ref": "tereom/notebook-0ca49f301ce264874bcd", "kernel_id": "49077"}, {"ref": "morgans/notebook-8eb131ffc3e5a6d3bbcc", "kernel_id": "77093"}, {"ref": "varimp/xgb-and-quick-and-dirty-ensemble", "kernel_id": "68327"}, {"ref": "hamelg/exploration-and-initial-xgb-0-75018", "kernel_id": "60135"}, {"ref": "hamelg/notebook-a30c33233e3d59427b0b", "kernel_id": "60133"}, {"ref": "hamelg/xgboost-w-breed-color-feats", "kernel_id": "60346"}, {"ref": "joshuacortez/animal-shelter", "kernel_id": "79608"}, {"ref": "jamesdlawrence/gbm-ftw", "kernel_id": "48996"}, {"ref": "grogs84/notebook-9de293d02f313046e51d", "kernel_id": "50273"}, {"ref": "grogs84/foo123", "kernel_id": "50277"}, {"ref": "namra42/color-analysis", "kernel_id": "61952"}, {"ref": "namra42/shelter-try-1", "kernel_id": "61493"}, {"ref": "sh0101/notebook-08b2285b4c2680edba5e", "kernel_id": "75913"}, {"ref": "qazcat/cat-and-dogs", "kernel_id": "49181"}, {"ref": "wangjue444/quick-dirty-randomforest", "kernel_id": "71108"}, {"ref": "wangjue444/quick-dirty-randomforestforked", "kernel_id": "71109"}, {"ref": "ricalanis/notebook-d32bc526c9551ad9a91e", "kernel_id": "79216"}, {"ref": "joshuaslocum/notebook-76a0d5a019e6c9283c25", "kernel_id": "50095"}, {"ref": "joshuaslocum/notebook-9ff5d355ae4409829b32", "kernel_id": "50096"}, {"ref": "joshuaslocum/notebook-d0639d79f9f38175a75a", "kernel_id": "50097"}, {"ref": "joshuaslocum/notebook-6cb15a8059c3d3c2a58b", "kernel_id": "49437"}, {"ref": "joshuaslocum/eda-scrap", "kernel_id": "49438"}, {"ref": "joshuaslocum/gbm-eda", "kernel_id": "49457"}, {"ref": "joshuaslocum/notebook-c6d0a23943aca5d231a6", "kernel_id": "49458"}, {"ref": "joshuaslocum/notebook-d4661a753922598aa44b", "kernel_id": "49459"}, {"ref": "joshuaslocum/notebook-6974533d1897739acb4f", "kernel_id": "49460"}, {"ref": "nguyentom/notebook-d221d83981386359b71e", "kernel_id": "70772"}, {"ref": "nguyentom/notebook-acb2298e3ca704953c12", "kernel_id": "70773"}, {"ref": "dcarmody/notebook-b1967d1c732386192948", "kernel_id": "76030"}, {"ref": "pastorenick/notebook-11dc3c8cae3565fb2ea9", "kernel_id": "62391"}, {"ref": "ffisegydd/notebook-ef2359c8bfe27229d0b0", "kernel_id": "60262"}, {"ref": "poyopuyo/notebook-bf52ac74bb5f8b0f76d6", "kernel_id": "70310"}, {"ref": "poyopuyo/test-script", "kernel_id": "78302"}, {"ref": "rplaca/wasting-time-on-kaggle-competitions", "kernel_id": "48852"}, {"ref": "marksman/age-gender-breed-and-name-vs-outcome", "kernel_id": "73752"}, {"ref": "marksman/notebook-f126e9cb126078445888", "kernel_id": "73780"}, {"ref": "marksman/notebook-08b86a20cb404234c100", "kernel_id": "75209"}, {"ref": "marksman/notebook-95e0a3647f5f036f61fa", "kernel_id": "77859"}, {"ref": "marksman/notebook-47d9c393875904098c3d", "kernel_id": "77681"}, {"ref": "jxking/notebook-1fca0252a911ecbb5f87", "kernel_id": "78853"}, {"ref": "manjhunathkr/data-exploration", "kernel_id": "80779"}, {"ref": "dpansan/notebook-f72d7314a470d581c0f3", "kernel_id": "71623"}, {"ref": "dpansan/notebook-0768eb56e1d0899c75ec", "kernel_id": "71624"}, {"ref": "dpansan/animales", "kernel_id": "71625"}, {"ref": "dpansan/notebook-0dc5e67db59f4abeedb8", "kernel_id": "71628"}, {"ref": "dpansan/notebook-9f4895729e09e74986c7", "kernel_id": "71629"}, {"ref": "dpansan/notebook-46963bc6acc87be8c4c6", "kernel_id": "71619"}, {"ref": "arpitsolanki14/cat-and-dog-rf", "kernel_id": "55884"}, {"ref": "arpitsolanki14/random-forest-script", "kernel_id": "55754"}, {"ref": "khaoticmind/notebook-cedc5da83eb70e3af1ef", "kernel_id": "69514"}, {"ref": "khaoticmind/notebook-b2df43e4424a96d8cdc2", "kernel_id": "69529"}, {"ref": "khaoticmind/notebook-a45d631c1ffa4bd79501", "kernel_id": "69535"}, {"ref": "khaoticmind/notebook-3e7dc3e24934213833e9", "kernel_id": "69555"}, {"ref": "khaoticmind/notebook-9b859bfbbca68f12618d", "kernel_id": "69588"}, {"ref": "ireland/xgb-and-quick-and-dirty-ensemble", "kernel_id": "81267"}, {"ref": "statsbala/notebook-407fc1e31afa04173c09", "kernel_id": "65441"}, {"ref": "rgaddati/notebook-93209b1097b90561799d", "kernel_id": "55067"}, {"ref": "rgaddati/notebook-f37a6201674d5d8eb121", "kernel_id": "55068"}, {"ref": "rgaddati/notebook-49b4b2c5aad9c6643308", "kernel_id": "55079"}, {"ref": "rgaddati/clean", "kernel_id": "77054"}, {"ref": "mrbean/notebook-2e9b1c2ba2124c0fe1fe", "kernel_id": "65645"}, {"ref": "mrbean/notebook-276d902880cbdefde83b", "kernel_id": "65647"}, {"ref": "ruifengzheng/notebook-5124c4b1ffede6fc3f05", "kernel_id": "51844"}, {"ref": "ruifengzheng/notebook-43c3b27d48cbb09760b3", "kernel_id": "84110"}, {"ref": "ruifengzheng/notebook-1dd8757e764cc95a31a6", "kernel_id": "84102"}, {"ref": "ruifengzheng/abcde", "kernel_id": "84093"}, {"ref": "ruifengzheng/notebook-82ca637a7157a6aed7d3", "kernel_id": "84155"}, {"ref": "ruifengzheng/notebook-63f31bfca37d57072113", "kernel_id": "84387"}, {"ref": "ruifengzheng/notebook-105fc8260ec15bc0cb0c", "kernel_id": "80905"}, {"ref": "maver1ckpl/animals", "kernel_id": "82247"}, {"ref": "inabaraku/visualization-for-a-global-view", "kernel_id": "74804"}, {"ref": "asofix/notebook-9510fa56f8631ea369ce", "kernel_id": "65634"}, {"ref": "ashishdutt/notebook-e34a636236cafac45604", "kernel_id": "54525"}, {"ref": "ashishdutt/exploratory-data-analysis-3", "kernel_id": "54528"}, {"ref": "amhchiu/notebook-bdf84ec36de4e7b29998", "kernel_id": "50651"}, {"ref": "amhchiu/notebook-781e985db3c9f034a754", "kernel_id": "50658"}, {"ref": "amhchiu/notebook-97783c70b259e36e1195", "kernel_id": "50659"}, {"ref": "amhchiu/reducing-colour-and-breed-combinations", "kernel_id": "50093"}, {"ref": "amhchiu/what-about-outcomesybtype", "kernel_id": "51193"}, {"ref": "amhchiu/notebook-15a37d8941d7238827a5", "kernel_id": "52326"}, {"ref": "amhchiu/color-pattern-colour", "kernel_id": "54039"}, {"ref": "scollins/notebook-0fb2827a584afebd4f1e", "kernel_id": "84310"}, {"ref": "scollins/scollins-shelteranimaloutcomes", "kernel_id": "84311"}, {"ref": "fabsta/notebook-73f533745e139a186247", "kernel_id": "64876"}, {"ref": "evolutioniskey/notebook-d5194902d34405be7cc3", "kernel_id": "84825"}, {"ref": "mpedroto/age-gender-breed-and-name-vs-outcome", "kernel_id": "70726"}, {"ref": "andraszsom/notebook-dbdd79961743b339fdda", "kernel_id": "49771"}, {"ref": "andraszsom/age-gender-breed-and-name-vs-outcome", "kernel_id": "49772"}, {"ref": "andraszsom/notebook-8cfa838aabefe79c2fa8", "kernel_id": "49773"}, {"ref": "andraszsom/notebook-335fd85955451f1b98b2", "kernel_id": "49790"}, {"ref": "andraszsom/notebook-5dde20c9c066cc8d3789", "kernel_id": "49909"}, {"ref": "andraszsom/notebook-84d1458a1351b4cb0dc7", "kernel_id": "50323"}, {"ref": "andraszsom/uncertainty-estimates-of-outcome-types", "kernel_id": "53102"}, {"ref": "andraszsom/notebook-1d177a19adfb6d31224e", "kernel_id": "53076"}, {"ref": "andraszsom/notebook-c4b6ec2d043faba7e3f6", "kernel_id": "53073"}, {"ref": "andraszsom/dog-breeds-dog-groups", "kernel_id": "51037"}, {"ref": "cheral/notebookaf9a8cf3d8", "kernel_id": "154622"}, {"ref": "cheral/predict-outcome-for-shelter-animals", "kernel_id": "154627"}, {"ref": "cheral/notebookd774918e35", "kernel_id": "154609"}, {"ref": "kregor/notebook-0d5e590fc4289088e105", "kernel_id": "49514"}, {"ref": "kregor/data-test", "kernel_id": "49515"}, {"ref": "ymcdull/just-use-notebook-for-test", "kernel_id": "66328"}, {"ref": "ymcdull/shelter-animal-first-test", "kernel_id": "64670"}, {"ref": "ymcdull/notebook-45376d90d5bcb128073b", "kernel_id": "64935"}, {"ref": "blueneutr/notebook-1df6bb82f6c0d85c89ff", "kernel_id": "48791"}, {"ref": "golesco/notebook-e16ecde175c30c3f53cc", "kernel_id": "79763"}, {"ref": "agbmurphy/notebook-e83396a146ff2d836408", "kernel_id": "56545"}, {"ref": "unicorn23/data-overview", "kernel_id": "65901"}, {"ref": "lixintong/notebook-5a776b1e92f426a09119", "kernel_id": "84498"}, {"ref": "syednasar/notebookcdf3645c8f", "kernel_id": "88340"}, {"ref": "syednasar/shelter-model-all", "kernel_id": "88483"}, {"ref": "syednasar/notebook-158ac0cd0dc4bbf97bd3", "kernel_id": "78029"}, {"ref": "syednasar/dog-breeds-dog-groups", "kernel_id": "77996"}, {"ref": "syednasar/notebook-d15c2a798515941f382c", "kernel_id": "77997"}, {"ref": "syednasar/notebook-170e1d162827853636b5", "kernel_id": "77998"}, {"ref": "syednasar/notebook-46a242703deafae8c4c4", "kernel_id": "77999"}, {"ref": "syednasar/shelter-eda-dog-breed-enhancement", "kernel_id": "78000"}, {"ref": "r4ch31r/notebook-558c032042b9653c4c60", "kernel_id": "67952"}, {"ref": "r4ch31r/clean-feat-fit-and-submit", "kernel_id": "67356"}, {"ref": "r4ch31r/multinomial-regression", "kernel_id": "64753"}, {"ref": "chrislef/notebook-a9c9f7ebf24cd026d825", "kernel_id": "67388"}, {"ref": "chrislef/notebook-177585ef609194726af7", "kernel_id": "67386"}, {"ref": "madmlscientist/notebook-57c2f984b19d1329f5cc", "kernel_id": "70021"}, {"ref": "madmlscientist/take-a-look-at-the-data", "kernel_id": "70017"}, {"ref": "ernesttavares/notebook-899aff36cadab0bef20d", "kernel_id": "55841"}, {"ref": "ernesttavares/running-with-scissors", "kernel_id": "55842"}, {"ref": "davidkaftan/animals", "kernel_id": "73132"}, {"ref": "wasdee/dog-breed-feature-engineer", "kernel_id": "232120"}, {"ref": "wasdee/quick-dirty-randomforest", "kernel_id": "232125"}, {"ref": "wasdee/quick-dirty-sdohkldsfhl", "kernel_id": "232397"}, {"ref": "waqasali/notebook-ad126d24b4c18d467f31", "kernel_id": "71096"}, {"ref": "ryanhausen/notebook-040d1ee1145dbe5a47d3", "kernel_id": "54624"}, {"ref": "bscheetz/notebook-14caf760f738a18fd839", "kernel_id": "54680"}, {"ref": "bscheetz/notebook-1ea61b7dc6eb10348c53", "kernel_id": "54681"}, {"ref": "bscheetz/simple-rf", "kernel_id": "54682"}, {"ref": "bscheetz/take-a-look-at-the-data", "kernel_id": "54670"}, {"ref": "bscheetz/notebook-1519611c0b4df8c78992", "kernel_id": "54672"}, {"ref": "bscheetz/notebook-ace4716a9c82ef625ed2", "kernel_id": "54673"}, {"ref": "bscheetz/nameless-animals", "kernel_id": "54675"}, {"ref": "aiswaryaramachandran/notebook-ee4242cd410c1a80c7c3", "kernel_id": "67185"}, {"ref": "aiswaryaramachandran/notebook-223a91eb2ef05ed3af95", "kernel_id": "67201"}, {"ref": "toomanycats/notebook-fe2404f8d55c41a748ef", "kernel_id": "51464"}, {"ref": "sasali/clean-feat-fit-and-submit", "kernel_id": "77617"}, {"ref": "sasali/take-a-look-at-the-data", "kernel_id": "75546"}, {"ref": "sasali/notebook-b3de406b156459ebd03f", "kernel_id": "75543"}, {"ref": "sasali/notebook-9f02cc3099fbaf100609", "kernel_id": "75544"}, {"ref": "sasali/notebook-98a4d4e1d3d2594a6e57", "kernel_id": "75556"}, {"ref": "sasali/notebook-435b83ee19533703ae7c", "kernel_id": "75558"}, {"ref": "sasali/explore-the-dataset", "kernel_id": "75559"}, {"ref": "serelk/notebook-10557cf9b4e3a261b70f", "kernel_id": "61389"}, {"ref": "lokeshh/notebook-0c2358abadc69e658558", "kernel_id": "78877"}, {"ref": "libra202ma/notebook73ad3c834a", "kernel_id": "257088"}, {"ref": "logjac/take-a-look-at-the-data", "kernel_id": "50311"}, {"ref": "alexmili/notebook-cd6d37fa4abf658964c7", "kernel_id": "67118"}, {"ref": "dtromero/exploratory-data-analysis-with-bokeh", "kernel_id": "52594"}, {"ref": "dtromero/notebook-a26bd1688ecff8bedacb", "kernel_id": "53345"}, {"ref": "grazim/notebook-6614a9679c8e5b1ac965", "kernel_id": "49376"}, {"ref": "barretshao/notebook-575ded65a61cb167d2eb", "kernel_id": "67912"}, {"ref": "artboss/clean-feat-fit-and-submit", "kernel_id": "84530"}, {"ref": "jamesdavidrobinson/notebook-6a42a3192e1d6b03bdc7", "kernel_id": "78786"}, {"ref": "kaggledmimi/shelter-for-animals", "kernel_id": "56897"}, {"ref": "yaanjojo/notebook-46b8a3931e69d11235ba", "kernel_id": "75894"}, {"ref": "louislung/quick-dirty-randomforest", "kernel_id": "79568"}, {"ref": "jpoles1/notebook-8a5f5244db17d8d70548", "kernel_id": "63840"}, {"ref": "captcalculator/yet-another-animal-shelter-data-viz", "kernel_id": "59493"}, {"ref": "cschoi/notebook-2496c302090a047fa51d", "kernel_id": "71843"}, {"ref": "tyis01/test1", "kernel_id": "62098"}, {"ref": "tyis01/notebook-bd641f0abd268b3cd17a", "kernel_id": "62083"}, {"ref": "tyis01/notebook-5fbdf7f3f6312ac71080", "kernel_id": "64131"}, {"ref": "tyis01/notebook-07342da718b329599bd3", "kernel_id": "66306"}, {"ref": "romanpopat/notebook-2d77e6b235089f22881b", "kernel_id": "55866"}, {"ref": "yurrzz/notebook-59fe278ca67bef84ef6a", "kernel_id": "67716"}, {"ref": "jerry30/notebook-fce1ef52902f5186b534", "kernel_id": "59244"}, {"ref": "shuyan/xgb-and-quick-and-dirty-ensemble", "kernel_id": "163603"}, {"ref": "vishallakha/clean-feat-fit-and-submit", "kernel_id": "76009"}, {"ref": "vishallakha/notebook-8bb47c630342c82e42c1", "kernel_id": "76010"}, {"ref": "tamlin/notebook-a1a9bf3f228459679d0e", "kernel_id": "64387"}, {"ref": "tamlin/notebook-e04ab5181e38c00d213f", "kernel_id": "64419"}, {"ref": "tamlin/dog-breeds-dog-groups", "kernel_id": "63981"}, {"ref": "tamlin/notebook-d2bb48c9328a16740a5a", "kernel_id": "64030"}, {"ref": "tamlin/age-gender-breed-and-name-vs-outcome", "kernel_id": "64645"}, {"ref": "tamlin/exploratory-data-analysis-with-bokeh", "kernel_id": "64614"}, {"ref": "tamlin/uncertainty-estimates-of-outcome-types", "kernel_id": "64602"}, {"ref": "tamlin/notebook-f4b2f5b18d47fc84e73e", "kernel_id": "64594"}, {"ref": "tamlin/yet-another-animal-shelter-data-viz", "kernel_id": "64586"}, {"ref": "tamlin/notebook-b78841e60157bd9d7f96", "kernel_id": "64568"}, {"ref": "tamlin/notebook-81b994b8efcd3b4669ba", "kernel_id": "64563"}, {"ref": "tamlin/notebook-3d992923637644b0a50d", "kernel_id": "64564"}, {"ref": "tamlin/notebook-5520416fc7fc1968d8c5", "kernel_id": "64426"}, {"ref": "tamlin/notebook-1698b4ac639c402d1969", "kernel_id": "62365"}, {"ref": "tamlin/notebook-58a194feb69aeb8c079a", "kernel_id": "67985"}, {"ref": "tamlin/notebook-89617418df29f843d9d1", "kernel_id": "78507"}, {"ref": "tamlin/xgboost-w-breed-color-feats", "kernel_id": "78508"}, {"ref": "tamlin/xgboost-w-breed-color-modified-a-bit", "kernel_id": "78578"}, {"ref": "uchayder/take-a-look-at-the-data", "kernel_id": "48839"}, {"ref": "gyan7611/notebook-41218e2b49a1b8e05b99", "kernel_id": "52149"}, {"ref": "ruidamendes/notebook-4dcdd790a580e3e6eebe", "kernel_id": "76085"}, {"ref": "ruidamendes/notebook-cb1c9d7caf225e7c5033", "kernel_id": "76086"}, {"ref": "ruidamendes/loss-cat-0-5-dog-0-9-split-classifier", "kernel_id": "76082"}, {"ref": "ruidamendes/notebook-2c86956e77dec335fae0", "kernel_id": "76083"}, {"ref": "idozeh/notebook-cb214feedba6e6878d20", "kernel_id": "76291"}, {"ref": "idozeh/notebook-b69627b584bd7587f8c5", "kernel_id": "76292"}, {"ref": "idozeh/4e4e5r", "kernel_id": "77904"}, {"ref": "idozeh/my-analisis", "kernel_id": "78115"}, {"ref": "idozeh/full-analisis", "kernel_id": "78117"}, {"ref": "idozeh/notebook-fed46cda2fea9f926aa3", "kernel_id": "78118"}, {"ref": "lalthan/xgboost-w-breed-color-feats", "kernel_id": "71365"}, {"ref": "fhlgood/notebook-14c5d59bedd6eaeb96cf", "kernel_id": "48928"}, {"ref": "fhlgood/distribution-of-name-initials", "kernel_id": "48916"}, {"ref": "apapiu/visualizing-breeds-and-ages-by-outcome", "kernel_id": "52441"}, {"ref": "fernando90/notebook-d5b78c1539427d2c77b1", "kernel_id": "51113"}, {"ref": "fernando90/notebook-803a926d0220ab50c4cb", "kernel_id": "51114"}, {"ref": "fernando90/notebook-d81b44cd3eca5c4a52b9", "kernel_id": "50674"}, {"ref": "fernando90/notebook-939e93f0f84d09cd1419", "kernel_id": "50679"}, {"ref": "fernando90/notebook-c9b8d466292fff0ce589", "kernel_id": "50680"}, {"ref": "fernando90/notebook-2f54700b0e7f28f85926", "kernel_id": "50664"}, {"ref": "fernando90/notebook-830c323ef6ea986c6880", "kernel_id": "50665"}, {"ref": "fernando90/notebook-ede6795aede39943f62a", "kernel_id": "50666"}, {"ref": "fernando90/nameless-animals", "kernel_id": "50875"}, {"ref": "fernando90/notebook-4fa0d51ec3d1d3eb9f28", "kernel_id": "50877"}, {"ref": "fernando90/notebook-d22f692a28eeea3000be", "kernel_id": "50828"}, {"ref": "fernando90/notebook-2bbb3a44c152be728b23", "kernel_id": "50829"}, {"ref": "fernando90/notebook-89bd6c7c4e6e6d0cb6ce", "kernel_id": "50831"}, {"ref": "fernando90/notebook-cfa6049185e7283ac7c7", "kernel_id": "50824"}, {"ref": "nievesas/notebook-6a0b03d9eb80ba404ddd", "kernel_id": "64998"}, {"ref": "nievesas/notebook-b885455dd65e03a98ad2", "kernel_id": "64978"}, {"ref": "nievesas/notebook-5e1d5dc8639aee37cd4f", "kernel_id": "64989"}, {"ref": "nievesas/lapatrullacanina", "kernel_id": "64985"}, {"ref": "nievesas/notebook-b464053b063c2be94496", "kernel_id": "64986"}, {"ref": "nievesas/notebook-82f2c04da69418fdc96b", "kernel_id": "64974"}, {"ref": "nievesas/notebook-60216659d643508e51ec", "kernel_id": "65011"}, {"ref": "nievesas/notebook-259fcf275860b2eafa1f", "kernel_id": "64991"}, {"ref": "nievesas/notebook-38eebe3ac5e05e7dcf97", "kernel_id": "64992"}, {"ref": "nievesas/simple-rf-v0-3", "kernel_id": "64993"}, {"ref": "dagarkatyal/notebook-dadc2dace02a0ad5702f", "kernel_id": "59821"}, {"ref": "qqgeogor/xgboost-benchmark", "kernel_id": "71328"}, {"ref": "zoupet/clean-feat-fit-and-submit", "kernel_id": "59989"}, {"ref": "benlindsay/test-script2", "kernel_id": "67124"}, {"ref": "benlindsay/test-script", "kernel_id": "67122"}, {"ref": "andypohl/data-inspection", "kernel_id": "55221"}, {"ref": "andypohl/data-inspect", "kernel_id": "55244"}, {"ref": "andypohl/dfaeeeee", "kernel_id": "55258"}, {"ref": "andypohl/inspect", "kernel_id": "55248"}, {"ref": "spmorgan/notebook-edf7678b1adf796c8588", "kernel_id": "76675"}, {"ref": "francalvo/notebook-a25ccf9d876a2d07adaf", "kernel_id": "65691"}, {"ref": "francalvo/notebook-a17b4f0bc4950933764a", "kernel_id": "65675"}, {"ref": "francalvo/ailurofilios2", "kernel_id": "65010"}, {"ref": "francalvo/notebook-1205d56e4bed5d28a445", "kernel_id": "65024"}, {"ref": "francalvo/notebook-20b1f9e9c7a9c1d31ebb", "kernel_id": "65020"}, {"ref": "francalvo/notebook-8c4972629b5bc0363ff6", "kernel_id": "64976"}, {"ref": "francalvo/ailurofilicos", "kernel_id": "64977"}, {"ref": "francalvo/simple-logistic-or-rf", "kernel_id": "64969"}, {"ref": "dujekmancin/aaaaswe", "kernel_id": "52808"}, {"ref": "yuezhang/age-gender-breed-and-name-vs-outcome", "kernel_id": "69967"}, {"ref": "tunguz/gbm-ftw-0-7502", "kernel_id": "49628"}, {"ref": "tunguz/gbm-ftw-0-7503", "kernel_id": "49556"}, {"ref": "gupta17anukriti/mslkjvlsk", "kernel_id": "59378"}, {"ref": "albertk/clean-feat-fit-and-submit", "kernel_id": "80120"}, {"ref": "tommyttf/outcome-type-of-dog-and-cat-plot", "kernel_id": "51634"}, {"ref": "liuzheng87/notebook-e942725f07ca929af088", "kernel_id": "52538"}, {"ref": "ssoumen/notebook-6a1bf2c30c800f331684", "kernel_id": "50712"}, {"ref": "ssoumen/quick-dirty-randomforest", "kernel_id": "50713"}, {"ref": "vousmevoyez/notebook-7f08a694fd0343093505", "kernel_id": "79634"}, {"ref": "vousmevoyez/shelter-animals", "kernel_id": "79636"}, {"ref": "smnkmr/notebook-2ac18e2f434132c0e759", "kernel_id": "51830"}, {"ref": "smnkmr/notebook-ced9a295005511e5b848", "kernel_id": "51825"}, {"ref": "smnkmr/notebook-faece8bf715f4e19a08e", "kernel_id": "51827"}, {"ref": "wannabe/notebook-c926587e4b5533d0e475", "kernel_id": "49468"}, {"ref": "altriaex/take-a-look-at-the-data", "kernel_id": "64216"}, {"ref": "seanliu/dog-breeds-dog-groups", "kernel_id": "97290"}, {"ref": "manigerrard/notebook-602db30463c39ab751f2", "kernel_id": "75512"}, {"ref": "manigerrard/quick-dirty-randomforest", "kernel_id": "74659"}, {"ref": "nozzo1/1st-script-run", "kernel_id": "238490"}, {"ref": "pole19901990/main1", "kernel_id": "75806"}, {"ref": "pole19901990/main1r", "kernel_id": "75807"}, {"ref": "face1e55/dog-breeds-dog-groups", "kernel_id": "60657"}, {"ref": "marthawinata/notebook-fe526416509ba4b36309", "kernel_id": "63012"}, {"ref": "marthawinata/notebook-d375826487ee62c44c6d", "kernel_id": "62847"}, {"ref": "aewhatley/xgb-and-quick-and-dirty-ensemble", "kernel_id": "67604"}, {"ref": "aewhatley/dog-breeds-dog-groups", "kernel_id": "66705"}, {"ref": "mantis1/notebook-4eafcccee1ea3fa828a5", "kernel_id": "60435"}, {"ref": "mantis1/notebook-10c57c713cb52188ecc9", "kernel_id": "60436"}, {"ref": "mantis1/split-test-sample", "kernel_id": "60424"}, {"ref": "insaff/notebook-f8cf2236cfa4a769a649", "kernel_id": "59959"}, {"ref": "akaakaaka/notebook9c89bef64f", "kernel_id": "212606"}, {"ref": "rohansadale/xgbclassifier-and-randomforest-in-python", "kernel_id": "82681"}, {"ref": "rohansadale/notebook-bcc84cb888bd71a1da5c", "kernel_id": "82454"}, {"ref": "rohansadale/notebook-03cd473e05bcf1421933", "kernel_id": "82455"}, {"ref": "artygan/notebook-b952ac04bcec0f0fe7ac", "kernel_id": "66975"}, {"ref": "jianglong608/take-a-look-at-the-data", "kernel_id": "50279"}, {"ref": "starfishsanwich/tryrun", "kernel_id": "64533"}, {"ref": "bsitoula/notebookf6e2a12897", "kernel_id": "117445"}, {"ref": "geegeegeek/notebook-17d0bdf5f88c995e40f0", "kernel_id": "73777"}, {"ref": "hyunwoo/notebook-f10f23741f682c15d371", "kernel_id": "69483"}, {"ref": "hyunwoo/notebook-d3cb05fe7d2d4feae354", "kernel_id": "69197"}, {"ref": "vvercruyssen/notebook-1a91c2490743cca04fd7", "kernel_id": "78204"}, {"ref": "tiennguyen/testing", "kernel_id": "55357"}, {"ref": "tiennguyen/simple-try-with-randomforest", "kernel_id": "55351"}, {"ref": "tiennguyen/clean-feat-fit-and-submit", "kernel_id": "67174"}, {"ref": "tiennguyen/notebook-3ad8321271238cd2e5a7", "kernel_id": "67176"}, {"ref": "ironyeti/testy", "kernel_id": "81897"}, {"ref": "ironyeti/notebook-f1f73a6f847032abd853", "kernel_id": "81890"}, {"ref": "ironyeti/notebook-8ed89535f060b90a6253", "kernel_id": "81891"}, {"ref": "ironyeti/notebook-6d07ba5a0c8aff657f18", "kernel_id": "81899"}, {"ref": "pridhvi/quick-dirty-randomforest", "kernel_id": "79491"}, {"ref": "gunnvant/data-audit", "kernel_id": "74508"}, {"ref": "smashthestate/notebook-d09cb189552895a7a833", "kernel_id": "69191"}, {"ref": "jack91/clean-feat-fit-and-submit", "kernel_id": "67599"}, {"ref": "vaibhavkumbhar4/notebook-33a556dc77c397a2cb36", "kernel_id": "76470"}, {"ref": "vaibhavkumbhar4/notebook-683e1650693ef4daf195", "kernel_id": "76471"}, {"ref": "vaibhavkumbhar4/quick-dirty-randomforest", "kernel_id": "75061"}, {"ref": "mstoddard/xgb-and-quick-and-dirty-ensemble", "kernel_id": "63765"}, {"ref": "mstoddard/clean-feat-fit-and-submit", "kernel_id": "69545"}, {"ref": "johkuhn/notebook-eecc3c7e1c70bbb9f90c", "kernel_id": "53819"}, {"ref": "mrisdal/comparing-breed-names-by-string-distance", "kernel_id": "52009"}, {"ref": "mrisdal/quick-dirty-randomforest", "kernel_id": "48414"}, {"ref": "vibharohilla/notebook-0df4cde00d50b0beebeb", "kernel_id": "79596"}, {"ref": "vibharohilla/notebook-4a68530cde4c550c174c", "kernel_id": "75039"}, {"ref": "vibharohilla/notebook-b8fc08723b72711a106e", "kernel_id": "75640"}, {"ref": "vibharohilla/notebook-aaf404442f8e465581cd", "kernel_id": "73277"}, {"ref": "vibharohilla/notebook-e70abdb8e7564d07b764", "kernel_id": "73284"}, {"ref": "vibharohilla/notebook-6d53e935e5abac1a6bcc", "kernel_id": "73282"}, {"ref": "vibharohilla/notebook-9dd36c514bae1897556f", "kernel_id": "73247"}, {"ref": "vibharohilla/animal-shelter", "kernel_id": "73248"}, {"ref": "vibharohilla/pie-charts", "kernel_id": "73560"}, {"ref": "vibharohilla/notebook-9bfc29aefa3bc5f97c29", "kernel_id": "73541"}, {"ref": "vibharohilla/pie-chart-outcomes", "kernel_id": "73542"}, {"ref": "vibharohilla/notebook-96140629568ba10390e7", "kernel_id": "73543"}, {"ref": "vibharohilla/notebook-0ef598f8361ddbcc1bb7", "kernel_id": "74046"}, {"ref": "vibharohilla/notebook-79486583054d2acc84f3", "kernel_id": "74062"}, {"ref": "vibharohilla/notebook-debc8b63856a444a7b14", "kernel_id": "74071"}, {"ref": "vibharohilla/notebook-639716d28f8ff93240c0", "kernel_id": "74072"}, {"ref": "vibharohilla/how-age-affects-outcome", "kernel_id": "74074"}, {"ref": "kani2194/xgb-and-quick-and-dirty-ensemble", "kernel_id": "66240"}, {"ref": "kinder/clean-feat-fit-and-submit", "kernel_id": "75537"}, {"ref": "datamafia/notebook-1a3b8dbb1e20289819c4", "kernel_id": "73533"}, {"ref": "datamafia/notebook-d94fabd975e22e22f2b1", "kernel_id": "79429"}, {"ref": "nhochmith/notebook-63ddc27c026dd2e40ad7", "kernel_id": "80808"}, {"ref": "nhochmith/notebook-8808a934f4de5694ef4b", "kernel_id": "80809"}, {"ref": "stlbshkn/notebook-67750287fbfbfd385de4", "kernel_id": "61874"}, {"ref": "lynchkla/notebook-e8d95c9b9baeda6e74c7", "kernel_id": "61927"}, {"ref": "aguerrera/wasting-time-on-kaggle-competitions", "kernel_id": "59987"}, {"ref": "aguerrera/quick-dirty-randomforest", "kernel_id": "59988"}, {"ref": "wongalan2002/predict-animal-outcome-with-xgboost", "kernel_id": "80210"}, {"ref": "emilimia/notebook-6ec05b96eeaa90c6afec", "kernel_id": "81543"}, {"ref": "mists01/notebook-ea12942019fe9c5d9ed5", "kernel_id": "60519"}, {"ref": "mists01/notebook-7ef651262a6b5f445b4c", "kernel_id": "60496"}, {"ref": "mists01/distribution-of-name-initials", "kernel_id": "60492"}, {"ref": "mists01/notebook-942e7e305a7439a962f8", "kernel_id": "60687"}, {"ref": "mists01/notebook-216e6f51d34981b551c1", "kernel_id": "60681"}, {"ref": "conorm/notebook-bbdf9719cc794334427f", "kernel_id": "71949"}, {"ref": "conorm/notebook-9a69810595ec2bf26de5", "kernel_id": "74158"}, {"ref": "conorm/cleaner-and-feature-generator", "kernel_id": "74156"}, {"ref": "mlanier/deep-learning-for-animals", "kernel_id": "66330"}, {"ref": "ranwang/notebook-d598f8a3085eb5511443", "kernel_id": "54677"}, {"ref": "kevlem/clean-feat-fit-and-submit", "kernel_id": "82714"}, {"ref": "inmaculada/simple-logistic-or-rf", "kernel_id": "64990"}, {"ref": "chrisranderson/notebook-fe7a6dd3d0f2990cf98d", "kernel_id": "53728"}, {"ref": "chrisranderson/notebook-adc68ba1bd6b82c59d31", "kernel_id": "53730"}, {"ref": "chrisranderson/notebook-2c2e13e5aa04278027f4", "kernel_id": "53731"}, {"ref": "chrisranderson/stan-and-multinomial-logistic-regression", "kernel_id": "53732"}, {"ref": "felixzhao/animalsheterpredictionmodel", "kernel_id": "78481"}, {"ref": "vitaliigolovachov/take-a-look-at-the-data", "kernel_id": "96274"}, {"ref": "suhedaacar/notebook332633e2c3", "kernel_id": "127126"}, {"ref": "tedrand/notebook-b7af99dfcadbfc9ee54e", "kernel_id": "79622"}, {"ref": "tedrand/notebook-8d4a18eed04cbda357e9", "kernel_id": "79623"}, {"ref": "antolik/shelter-random-forest", "kernel_id": "55602"}, {"ref": "tfrmarques/final-approach-xgboost", "kernel_id": "79431"}, {"ref": "mathumitha/notebook-ba521ecb3b42f55aa54c", "kernel_id": "60318"}, {"ref": "apurvanaik/feature-engineering-rf-predict-outcome", "kernel_id": "51977"}, {"ref": "apurvanaik/quick-dirty-randomforest", "kernel_id": "51678"}, {"ref": "apurvanaik/reducing-colour-and-breed-combinations", "kernel_id": "51675"}, {"ref": "apurvanaik/notebook-286b4dc167b639c0f83a", "kernel_id": "51682"}, {"ref": "royalmudit/first-try-randomforest", "kernel_id": "80820"}, {"ref": "openarrow/notebook-7e71af280335989030ea", "kernel_id": "67745"}, {"ref": "kevings14/examining-data", "kernel_id": "48862"}, {"ref": "vanmai/notebook-e087dd17c1176564d310", "kernel_id": "49484"}, {"ref": "carlosgonza/notebook-f4213b2f5b3f2e6974e8", "kernel_id": "64975"}, {"ref": "mrkulkarni/notebook-67d12ae02682ceecce00", "kernel_id": "72695"}, {"ref": "jakesherman/notebook-6d6450d2ed7764710f8d", "kernel_id": "71262"}, {"ref": "jakesherman/notebook-9df9c2751fc599a70e25", "kernel_id": "71263"}, {"ref": "jakesherman/data-exploration", "kernel_id": "71027"}, {"ref": "jakesherman/notebook-ffb19b8560fa4d8389a9", "kernel_id": "71028"}, {"ref": "aniketdanve/notebook-df228cd525f01767937a", "kernel_id": "53477"}, {"ref": "stelmakh/notebook-e1d586415e94aaa769d3", "kernel_id": "64368"}, {"ref": "vinodkumarn/notebook-414b3766ac058553107a", "kernel_id": "80198"}, {"ref": "luisotte/quick-dirty-randomforest", "kernel_id": "70141"}, {"ref": "luisotte/notebook-eda229c3714bdeb7eb0e", "kernel_id": "70146"}, {"ref": "hardkaggle/age-gender-breed-and-name-vs-outcome", "kernel_id": "55339"}, {"ref": "hewenjie001/hhhhhh", "kernel_id": "64213"}, {"ref": "jihyeseo/cleaning-animal-data", "kernel_id": "489472"}, {"ref": "kientnam/notebook-a52d0ec3615e72044b92", "kernel_id": "54560"}, {"ref": "pedroulisses/notebook-794d080bae2196b5733e", "kernel_id": "67856"}, {"ref": "sredna/notebook-20c3cd3463664511cf7a", "kernel_id": "49103"}, {"ref": "abhishek333/notebook-b2586d621ee7c2719f55", "kernel_id": "49054"}, {"ref": "abhishek333/notebook-e7632b289de4ce4573d1", "kernel_id": "49055"}, {"ref": "bowenliu/take-a-look-at-the-data", "kernel_id": "70511"}, {"ref": "songlei198974/quick-dirty-randomforest", "kernel_id": "50372"}, {"ref": "fbetteo/notebook-2faa4f34097ae6e1de2d", "kernel_id": "80459"}, {"ref": "bhavin266/pandas-matplotlib", "kernel_id": "55965"}, {"ref": "benwhite/notebook-d351988fb2dbf324d7aa", "kernel_id": "75583"}, {"ref": "benwhite/notebook-5bb32b589e5dcc348e8d", "kernel_id": "84741"}, {"ref": "benwhite/notebook-4d39fc5b531a489e5fbc", "kernel_id": "84742"}, {"ref": "lmfang/notebook-b422872b62f2083c2417", "kernel_id": "48363"}, {"ref": "nahihong/notebook-37e8aa864819373a18bc", "kernel_id": "48932"}, {"ref": "jdills26/notebook-e536d4272f2714ce4ab2", "kernel_id": "58837"}, {"ref": "doudou233333/notebook-cbc19e36c0f4e0720eaf", "kernel_id": "48984"}, {"ref": "zhaoxiugao/dingd", "kernel_id": "49001"}, {"ref": "hitfishking/notebook-e1ebd4d7acc5433a5b15", "kernel_id": "50445"}, {"ref": "hitfishking/notebook-d63820df8e85ef5ab0cf", "kernel_id": "50446"}, {"ref": "hitfishking/age-gender-and-breed-vs-outcome", "kernel_id": "50440"}, {"ref": "hitfishking/notebook-6e3fe21786382a36fda1", "kernel_id": "50808"}, {"ref": "hitfishking/notebook-69af0664eb2eff7c0f3a", "kernel_id": "50768"}, {"ref": "hitfishking/notebook-0fac792dc541214a19e6", "kernel_id": "50698"}, {"ref": "hitfishking/notebook-1604fa3da1617da84d6e", "kernel_id": "50699"}, {"ref": "hitfishking/notebook-ee1cebdf598201a9042e", "kernel_id": "50700"}, {"ref": "hitfishking/notebook-fcfc86bc8614f42cab79", "kernel_id": "50701"}, {"ref": "hitfishking/notebook-e0279f727d99adb83784", "kernel_id": "50720"}, {"ref": "eurotrash/age-gender-and-breed-vs-outcome", "kernel_id": "50167"}, {"ref": "mgalusza/notebook-e87975441d183264f29e", "kernel_id": "50554"}, {"ref": "mgalusza/notebook-3d926c11ca33a594f875", "kernel_id": "50555"}, {"ref": "mgalusza/quick-dirty-randomforest", "kernel_id": "50534"}, {"ref": "mgalusza/take-a-look-at-the-data", "kernel_id": "49509"}, {"ref": "mgalusza/notebook-b62751a050d7bd0968c5", "kernel_id": "49516"}, {"ref": "mgalusza/notebook-dc56cf275aba71752c65", "kernel_id": "49518"}, {"ref": "mgalusza/notebook-3258fa256dabc4094a84", "kernel_id": "49650"}, {"ref": "swaldroff/notebook-5359b1d4f55a429f81bb", "kernel_id": "49653"}, {"ref": "shubi4/notebook-62112a9f20a85f2bc5dd", "kernel_id": "62751"}, {"ref": "shubi4/notebook-7eae2ef62831e145c758", "kernel_id": "62752"}, {"ref": "shubi4/notebook-3a6da9ed4f948153e4c0", "kernel_id": "62755"}, {"ref": "yangpoll/notebook-f6e7b37863dbb77f735c", "kernel_id": "50972"}, {"ref": "trinhd2/take-a-look-at-the-data", "kernel_id": "50228"}, {"ref": "abouscaren/notebook-4fab795e41457f90faaa", "kernel_id": "51521"}, {"ref": "mixam85/notebook-bb2f813b05a42b2aab5d", "kernel_id": "50719"}, {"ref": "mixam85/data-exploration", "kernel_id": "50514"}, {"ref": "lunapi/new-with-data-table", "kernel_id": "61716"}, {"ref": "lunapi/new-with-data-table-2", "kernel_id": "62046"}, {"ref": "danieltel/notebook-dc79ed6b219fc9ec2174", "kernel_id": "79720"}, {"ref": "yanwii/pandas-matplotlib", "kernel_id": "50725"}, {"ref": "yanwii/yanwii", "kernel_id": "50726"}, {"ref": "yanwii/notebook-8d762105d8886cdbda16", "kernel_id": "50728"}, {"ref": "yanwii/notebook-bc2c2ce422bbbb4c20d8", "kernel_id": "50729"}, {"ref": "yanwii/notebook-afd7f024bc8492f6e208", "kernel_id": "50797"}, {"ref": "yanwii/notebook-c45e2f88df37afbdb28d", "kernel_id": "50793"}, {"ref": "sevenmoon/xgboost-w-breed-color-feats", "kernel_id": "60805"}, {"ref": "donhuang/notebook-fa2c5b42bec21e25673e", "kernel_id": "74812"}, {"ref": "viraj14/random-forest-script", "kernel_id": "57848"}, {"ref": "kevinpalm/notebook-9a4406cb928b5c13929b", "kernel_id": "77072"}, {"ref": "kevinpalm/notebook-48ebc7f11a90f22e6018", "kernel_id": "77073"}, {"ref": "nelly2k/notebook-3c2dcd675400ee41b22b", "kernel_id": "65947"}, {"ref": "overgara/dog-breeds-dog-groups", "kernel_id": "51503"}, {"ref": "overgara/notebook-27673b918bc28d862ebc", "kernel_id": "51505"}, {"ref": "overgara/notebook-de3f3bdee6d8d289f561", "kernel_id": "51508"}, {"ref": "overgara/notebook-31e6c6522caf81bca58d", "kernel_id": "51872"}, {"ref": "overgara/notebook-01da9858af85927010a5", "kernel_id": "51873"}, {"ref": "overgara/notebook-490cb9d4b22be4b83348", "kernel_id": "51875"}, {"ref": "shenc3/notebook-2ce537bc23e152eff8c6", "kernel_id": "51628"}, {"ref": "cfadnavis/notebook-fd04919b0599df7535ad", "kernel_id": "52224"}, {"ref": "cfadnavis/dog-breeds-dog-groups", "kernel_id": "52222"}, {"ref": "zenanmeng/notebook-1814a3989dfaab85de3b", "kernel_id": "61308"}, {"ref": "mulingcao/notebook-3f82090de204894c037c", "kernel_id": "51981"}, {"ref": "aresyeah/take-a-look-at-the-data", "kernel_id": "80456"}, {"ref": "aresyeah/notebook-8af3095e6bddbcb08b3b", "kernel_id": "80457"}, {"ref": "xiziling/deal-with", "kernel_id": "52577"}, {"ref": "diptiwm/age-factor-on-animal-outcome", "kernel_id": "52381"}, {"ref": "csufynskkanth/notebook3d6198c8f4", "kernel_id": "121997"}, {"ref": "middipper/dog-breeds-dog-groups", "kernel_id": "57736"}, {"ref": "millergartina/notebook-9839964fbbaf8db81bea", "kernel_id": "52409"}, {"ref": "srikarv/take-a-look-at-the-data", "kernel_id": "53445"}, {"ref": "akumaying/notebooke861102144", "kernel_id": "190351"}, {"ref": "psvann/model-it-quickly", "kernel_id": "62682"}, {"ref": "shaocheng/notebook-e56bca3960f1230c7bed", "kernel_id": "84705"}, {"ref": "shaocheng/take-a-look-at-the-data", "kernel_id": "87450"}, {"ref": "maxreeves/notebook-2c5ce874143e52d3383c", "kernel_id": "62084"}, {"ref": "yunfeichen1991/quick-dirty-randomforest", "kernel_id": "53150"}, {"ref": "mauryashubham/notebook-ddebfb994a0408a31946", "kernel_id": "69405"}, {"ref": "sunxx782/processing-of-categorical-variables", "kernel_id": "53712"}, {"ref": "cakekashi/notebook-0f81a6e1b1f2634daa4a", "kernel_id": "53649"}, {"ref": "paigeevans/notebook-720017865a102df209f2", "kernel_id": "53581"}, {"ref": "masarulu/age-gender-breed-and-name-vs-outcome", "kernel_id": "123771"}, {"ref": "technotod/xgb-and-quick-and-dirty-ensemble", "kernel_id": "60668"}, {"ref": "plarsen/notebook-5748b57cb10222e02064", "kernel_id": "84307"}, {"ref": "plarsen/notebook-eee60e91caa34db060ab", "kernel_id": "84305"}, {"ref": "luongtthuong/notebook-ff42edaac0064c791b2b", "kernel_id": "55307"}, {"ref": "luongtthuong/notebook-6adb7ea96b012f7271fb", "kernel_id": "55313"}, {"ref": "gtinkham/notebook-1661cd7a56762eb13200", "kernel_id": "61405"}, {"ref": "kpa9206/notebook-5e9e166f389605b63409", "kernel_id": "55655"}, {"ref": "deepikapr/notebook-dce8f3b9129827437597", "kernel_id": "62624"}, {"ref": "ystoto/1st-submit", "kernel_id": "70890"}, {"ref": "ystoto/notebook-2a9bb56c04cf23576b23", "kernel_id": "68224"}, {"ref": "izzul02/age-gender-breed-and-name-vs-outcome", "kernel_id": "58298"}, {"ref": "tsizzle/wasting-time-on-kaggle-competitions", "kernel_id": "58587"}, {"ref": "tsizzle/notebook-a6de18c376e507e82d0d", "kernel_id": "58588"}, {"ref": "tsizzle/notebook-1e7eb861eda4c96651bd", "kernel_id": "59174"}, {"ref": "tsizzle/notebook-13e6cc4695e56db634ee", "kernel_id": "59200"}, {"ref": "nakanishi/pydata-meetup14", "kernel_id": "72041"}, {"ref": "fergieis/notebook-d3dc7db1bafe792f5df8", "kernel_id": "60404"}, {"ref": "uhricha/notebook-61d8f95530366aff68e4", "kernel_id": "61313"}, {"ref": "slaurent/notebook21a15d543a", "kernel_id": "168530"}, {"ref": "sanjulademel/notebook1", "kernel_id": "69366"}, {"ref": "sanjulademel/shelter-animal-1", "kernel_id": "71066"}, {"ref": "sanjulademel/animal-outcome-6", "kernel_id": "82623"}, {"ref": "payoub/slowly-learning-ml", "kernel_id": "64180"}, {"ref": "dkoehn/notebook-ae44a70654f1e1eb4af8", "kernel_id": "64925"}, {"ref": "jesusmtz1991/notebook-951169aafb83639de47d", "kernel_id": "64469"}, {"ref": "jesusmtz1991/wasting-time-on-kaggle-competitions", "kernel_id": "64463"}, {"ref": "jesusmtz1991/notebook-c2c11332546fdda9f925", "kernel_id": "64464"}, {"ref": "jesusmtz1991/notebook-24f18f27d070cb7bbe38", "kernel_id": "64466"}, {"ref": "jesusmtz1991/notebook-cb81199f098e6e65f52e", "kernel_id": "64467"}, {"ref": "jesusmtz1991/notebook-3c7c398fc7122b6defbb", "kernel_id": "66720"}, {"ref": "jesusmtz1991/notebook-56c779aa742c6b753c24", "kernel_id": "66725"}, {"ref": "jesusmtz1991/notebook-ac5f7e6b9f2d0979443a", "kernel_id": "66730"}, {"ref": "cooperxiong/notebook-f315bcf27b643bbe6d62", "kernel_id": "65424"}, {"ref": "cooperxiong/notebook-c20b8dffe0d75c60015b", "kernel_id": "65425"}, {"ref": "cooperxiong/notebook-for-ex-data-processing", "kernel_id": "65438"}, {"ref": "cooperxiong/notebook-48acd225b8690f496102", "kernel_id": "65417"}, {"ref": "cooperxiong/notebook-a7d448d1a4ca04db5b54", "kernel_id": "65418"}, {"ref": "btkrull/clean-feat-fit-and-submit", "kernel_id": "77204"}, {"ref": "puxuan/take-a-look-at-the-data", "kernel_id": "66749"}, {"ref": "puxuan/notebook-293f382d81c5502e2e6a", "kernel_id": "66750"}, {"ref": "stapler19/exploring-regularized-regression", "kernel_id": "65483"}, {"ref": "stapler19/notebook-72e6e8c9fe82b4d0a2a6", "kernel_id": "65484"}, {"ref": "daign836/take-a-look-at-the-data", "kernel_id": "76224"}, {"ref": "daign836/notebook-4a7d9febb23135777c67", "kernel_id": "76228"}, {"ref": "daign836/clean-feat-fit-and-submit", "kernel_id": "75284"}, {"ref": "daign836/notebook-a9f6770db8ae97b31daf", "kernel_id": "75285"}, {"ref": "daign836/notebook-9ca13ab8a6ad19bacf28", "kernel_id": "67982"}, {"ref": "daign836/notebook-e13b75b9bd805c0e7364", "kernel_id": "67984"}, {"ref": "nitink12/notebook-20e67596e71062d7b9bf", "kernel_id": "78263"}, {"ref": "nitink12/shelteroutcome", "kernel_id": "78264"}, {"ref": "chemjong/notebook-07cbccf94fa04d9f5088", "kernel_id": "80625"}, {"ref": "abbysobh/data-cleanup-convert-to-numeric-values", "kernel_id": "79602"}, {"ref": "enotmu/simple-rf-v0-3", "kernel_id": "64782"}, {"ref": "enotmu/notebook-12ab949d2cda5a4448d9", "kernel_id": "64725"}, {"ref": "enotmu/simple-rf", "kernel_id": "64726"}, {"ref": "enotmu/notebook-dbc8b4ef7ed926b41307", "kernel_id": "64761"}, {"ref": "enotmu/notebook-9e30b585e341b199ec74", "kernel_id": "64768"}, {"ref": "enotmu/simple-rf-v0-2", "kernel_id": "64769"}, {"ref": "enotmu/notebook-9afefe7426f5161c1bc0", "kernel_id": "64878"}, {"ref": "enotmu/simple-logistic-or-rf", "kernel_id": "64932"}, {"ref": "enotmu/notebook-df20eb8554d7531637ef", "kernel_id": "64933"}, {"ref": "enotmu/notebook-2dbb7da3e443baae9007", "kernel_id": "64934"}, {"ref": "enotmu/simple-logistic", "kernel_id": "64896"}, {"ref": "paulacordero/simple-logistic-or-rf", "kernel_id": "64971"}, {"ref": "angelmunher/notebook-5e18c74824c56a765e7f", "kernel_id": "64979"}, {"ref": "jesusdiazbeeva/notebook-17d0112cb68aaa1701a1", "kernel_id": "65004"}, {"ref": "jesusdiazbeeva/notebook-52dc6a4eac507531651f", "kernel_id": "65005"}, {"ref": "jesusdiazbeeva/notebook-094bfe80464723c1618a", "kernel_id": "65015"}, {"ref": "jesusdiazbeeva/la-patrulla-canina", "kernel_id": "65016"}, {"ref": "jesusdiazbeeva/patrulla-canina2", "kernel_id": "65018"}, {"ref": "jesusdiazbeeva/notebook-548664a0579a9c596b12", "kernel_id": "65012"}, {"ref": "jesusdiazbeeva/notebook-af8a53e59cb93405bfbc", "kernel_id": "65013"}, {"ref": "carlosmv/melissa1", "kernel_id": "65006"}, {"ref": "carlosmv/simple-logistic-or-rf", "kernel_id": "65002"}, {"ref": "rahulsingh674/dog-breeds-dog-groups", "kernel_id": "84481"}, {"ref": "edwardelson/notebook-55d7e1a2608648525f1c", "kernel_id": "76843"}, {"ref": "edwardelson/take-a-look-at-the-data", "kernel_id": "68160"}, {"ref": "edwardelson/notebook-e06eaa79ae70e088eca5", "kernel_id": "68161"}, {"ref": "edwardelson/notebook-6d6942744c528c828f96", "kernel_id": "68162"}, {"ref": "edwardelson/notebook-e776a6a1f9b67bc322dc", "kernel_id": "68163"}, {"ref": "edwardelson/notebook-53078dbcadf1d4697cea", "kernel_id": "72551"}, {"ref": "edwardelson/notebook-2d208063df08d576f51d", "kernel_id": "72552"}, {"ref": "edwardelson/separate-classifier-for-cats-ad-dogs", "kernel_id": "72555"}, {"ref": "edwardelson/notebook-0e3f1e891bf847f2a1b2", "kernel_id": "72556"}, {"ref": "edwardelson/notebook-5c5521f604c10615b9d7", "kernel_id": "72559"}, {"ref": "sadishradjefr/notebook-183f74025b40291eabfe", "kernel_id": "73031"}, {"ref": "sadishradjefr/learning-ml", "kernel_id": "73040"}, {"ref": "sadishradjefr/notebook-50c11280979b3edfa334", "kernel_id": "73034"}, {"ref": "sadishradjefr/notebook-c0817b97109bbb0b42fb", "kernel_id": "78040"}, {"ref": "ricardodenilson/notebook-e6c24b498d7008081243", "kernel_id": "76290"}, {"ref": "pradeepr28/notebookc861fd1dc8", "kernel_id": "90008"}, {"ref": "leesukkim425/notebook-2378b1ea0805fc1ea8f0", "kernel_id": "69404"}, {"ref": "meabhinav/shelter-animal-outcomes", "kernel_id": "79694"}, {"ref": "jadhvank/notebook-45d0cbac201a1891d2c3", "kernel_id": "67813"}, {"ref": "sasaran/clean-feat-fit-and-submit", "kernel_id": "70410"}, {"ref": "albadr/notebook-02f23bcb4e88cc087b63", "kernel_id": "74512"}, {"ref": "albadr/notebook-06fa8dd08c803b6e0ece", "kernel_id": "74516"}, {"ref": "albadr/notebook-4d1428eb543a0d56848a", "kernel_id": "74467"}, {"ref": "albadr/notebook-87f804cdb65a0a0d4b2f", "kernel_id": "74469"}, {"ref": "albadr/notebook-b86184d088c1d19b6298", "kernel_id": "74470"}, {"ref": "albadr/shelter-animal-exploration", "kernel_id": "74447"}, {"ref": "albadr/notebook-2b5cb06723a3ace017ff", "kernel_id": "74743"}, {"ref": "kanshu0924/take-a-look-at-the-data", "kernel_id": "79797"}, {"ref": "kanshu0924/clean-feat-fit-and-submit", "kernel_id": "81154"}, {"ref": "bjebert/notebook-4d175e46b7a19a890d05", "kernel_id": "69440"}, {"ref": "bjebert/notebook-78371854f6ce8d74e475", "kernel_id": "69459"}, {"ref": "bjebert/test-script", "kernel_id": "69443"}, {"ref": "vaibhavs10/notebook-cbbd5dad75d11e0e8c02", "kernel_id": "79424"}, {"ref": "jponnet/notebook-3409e43a7a0184346893", "kernel_id": "70763"}, {"ref": "jponnet/data-preprocessing-sv0-1", "kernel_id": "72944"}, {"ref": "jponnet/notebook-2e0710c3cd470071e768", "kernel_id": "72945"}, {"ref": "mangojuice/notebook-9f1bb2dacf6a871e16e8", "kernel_id": "70815"}, {"ref": "mangojuice/notebook-a402ab63402baabb4e79", "kernel_id": "70816"}, {"ref": "samgwin/notebook-acb2689c3ad20ef181c5", "kernel_id": "71406"}, {"ref": "superdietz/quick-dirty-randomforest", "kernel_id": "71251"}, {"ref": "spotie/notebook-f0a2e0ab0101c726f3ef", "kernel_id": "71330"}, {"ref": "yatawara/notebook-4c5dd00e51b7f1a0e828", "kernel_id": "84386"}, {"ref": "nishadi/breeds", "kernel_id": "82568"}, {"ref": "nishadi/breed-groups", "kernel_id": "84073"}, {"ref": "nishadi/notebook-6516b60f90588b2ef96a", "kernel_id": "81252"}, {"ref": "nishadi/python-6", "kernel_id": "81253"}, {"ref": "nishadi/random-forest-breed2", "kernel_id": "81743"}, {"ref": "nishadi/notebook-6e74c1f649e169dd094e", "kernel_id": "81729"}, {"ref": "nishadi/random-forest-breed", "kernel_id": "81731"}, {"ref": "nishadi/xg-boost-approach", "kernel_id": "84580"}, {"ref": "nishadi/notebook-563638f3915acfc2cf9a", "kernel_id": "78184"}, {"ref": "nishadi/attempt2", "kernel_id": "79639"}, {"ref": "nishadi/notebook-8479d97385114de7091c", "kernel_id": "79640"}, {"ref": "nishadi/notebook-23027b4d2fed79c757a0", "kernel_id": "79925"}, {"ref": "nishadi/notebook-62613320fa8e10dd96f8", "kernel_id": "78209"}, {"ref": "nishadi/decision-tree-approach", "kernel_id": "78210"}, {"ref": "samadhi/preprocessdata", "kernel_id": "88977"}, {"ref": "samadhi/preprocess2", "kernel_id": "89414"}, {"ref": "ollier/notebook-8b020ad73fea3959151e", "kernel_id": "76285"}, {"ref": "ollier/notebook-fb6b489f8eb8b14616b3", "kernel_id": "76286"}, {"ref": "ollier/notebook-09a7f160fd6d5d2b3270", "kernel_id": "76287"}, {"ref": "ollier/notebook-86ca2cfe093757f6056c", "kernel_id": "76289"}, {"ref": "ollier/notebook-4355a1b4ad58c85fdf0e", "kernel_id": "77136"}, {"ref": "gwang5386/notebook-ef2638a7e6c0ffc09ca7", "kernel_id": "72778"}, {"ref": "zhartleb/nemusa", "kernel_id": "80121"}, {"ref": "grrrrr/shelter-animals", "kernel_id": "76338"}, {"ref": "grrrrr/dogs-grouped", "kernel_id": "76667"}, {"ref": "grrrrr/notebook-c75c2bf6fbc5e61cf7ff", "kernel_id": "76660"}, {"ref": "grrrrr/group-dog-breeds", "kernel_id": "76662"}, {"ref": "grrrrr/notebook-d5da3de0a0bb3c10f7b5", "kernel_id": "76664"}, {"ref": "grrrrr/notebook-56033707970456d8dd32", "kernel_id": "76665"}, {"ref": "grrrrr/notebook-d4e691af3d9e86e39318", "kernel_id": "76641"}, {"ref": "grrrrr/notebook-52b8299b297e625cf084", "kernel_id": "76577"}, {"ref": "grrrrr/notebook-af1d75c7cba4b480e535", "kernel_id": "76572"}, {"ref": "kikeuchi/notebook-71d9e82311de6c1695c1", "kernel_id": "75380"}, {"ref": "kikeuchi/notebook-faf8b39725eafc6d35ac", "kernel_id": "75381"}, {"ref": "kikeuchi/notebook-9d14a6f52efd042110d3", "kernel_id": "75382"}, {"ref": "sungguni/notebook-e732157e26db88ef7a1b", "kernel_id": "73468"}, {"ref": "sungguni/notebook-44fd369f69a686ec5d53", "kernel_id": "73476"}, {"ref": "sungguni/notebook-7bffec4787785911dfea", "kernel_id": "75765"}, {"ref": "kburk1997/classification-1", "kernel_id": "73658"}, {"ref": "tjvananne/venn-diagrams-and-general-exploration", "kernel_id": "74760"}, {"ref": "rosenatm/notebook-5dea2ce08864f49f67a6", "kernel_id": "84449"}, {"ref": "nuttanai/notebook-43f6a974274b5fadc5ef", "kernel_id": "81392"}, {"ref": "nuttanai/notebook-eab20c66f90d3cc474dd", "kernel_id": "81387"}, {"ref": "anbai106/notebook-4d987e525ce0678148d5", "kernel_id": "75149"}, {"ref": "fsmithus/reduced-model-improved", "kernel_id": "76859"}, {"ref": "fsmithus/notebook-158bc415ec4bf1bd54a3", "kernel_id": "74929"}, {"ref": "fsmithus/notebook-8d85edaa652849462b68", "kernel_id": "74930"}, {"ref": "fsmithus/reduced-model", "kernel_id": "74931"}, {"ref": "fsmithus/notebook-c1947a2e45548a5fc6b7", "kernel_id": "74741"}, {"ref": "fsmithus/notebook-90889793fbaf18ce1ec8", "kernel_id": "74409"}, {"ref": "fsmithus/notebook-0cc43d0829857c38a3ad", "kernel_id": "74486"}, {"ref": "tennissuperstar/visualize-data", "kernel_id": "82787"}, {"ref": "tennissuperstar/notebook-fbf9b2d69968d25841df", "kernel_id": "82790"}, {"ref": "tennissuperstar/notebook-b99ed2859492618a6182", "kernel_id": "82791"}, {"ref": "riyeth/notebook-fc3d89058b4679218fc5", "kernel_id": "78105"}, {"ref": "riyeth/notebook-cb8cafd9c093852173af", "kernel_id": "82026"}, {"ref": "riyeth/animal-shelter-outcomes-first", "kernel_id": "82031"}, {"ref": "franckh/notebook-01109aee7d80c535a7d4", "kernel_id": "76016"}, {"ref": "franckh/notebook-16a2704d32de38d5211a", "kernel_id": "76017"}, {"ref": "lilgodzilla/notebook-5fbb308a21f6447f298a", "kernel_id": "84341"}, {"ref": "lilgodzilla/notebook-4f65d2eec6ecc4ec63a9", "kernel_id": "84347"}, {"ref": "chauhanvarun/dog-breeds-dog-groups", "kernel_id": "82817"}, {"ref": "xingobar/notebookf8cb8e54da", "kernel_id": "99884"}, {"ref": "zzzdenek/take-a-look-at-the-data", "kernel_id": "79050"}, {"ref": "zzzdenek/notebook-be49f2c0cd139cad9893", "kernel_id": "79052"}, {"ref": "skirmer/notebook-c2a8aeb700380ed86e22", "kernel_id": "84212"}, {"ref": "skirmer/notebook-d274da7fd44204437d86", "kernel_id": "84237"}, {"ref": "skirmer/notebook-48c8a9bc68e91c4e6392", "kernel_id": "84198"}, {"ref": "skirmer/glm-strategy-for-shelter-animals-project", "kernel_id": "84199"}, {"ref": "fehiepsi/notebookd514a8da15", "kernel_id": "91109"}, {"ref": "fehiepsi/clean-feat-fit-and-submit", "kernel_id": "90694"}, {"ref": "fehiepsi/simple-try-with-randomforest", "kernel_id": "90683"}, {"ref": "fehiepsi/notebook4d43e25a78", "kernel_id": "89778"}, {"ref": "fehiepsi/age-gender-breed-and-name-vs-outcome", "kernel_id": "89247"}, {"ref": "xiaoranone/notebook7a1e2ec623", "kernel_id": "350772"}, {"ref": "mahesh27/quick-dirty-randomforest", "kernel_id": "223711"}, {"ref": "breana/notebookc5e6583fc3", "kernel_id": "100135"}, {"ref": "oilsrp/dog-breeds-dog-groups", "kernel_id": "92292"}, {"ref": "tr11mk3/notebook20c2f386af", "kernel_id": "163162"}, {"ref": "npat0003/predict-outcome-for-shelter-animals", "kernel_id": "146270"}, {"ref": "hassan9224/take-a-look-at-the-data", "kernel_id": "123806"}, {"ref": "hassan9224/clean-feat-fit-and-submit", "kernel_id": "127294"}, {"ref": "douglasjia/notebook85d74f3251", "kernel_id": "97231"}, {"ref": "douglasjia/take-a-look-at-the-data", "kernel_id": "97216"}, {"ref": "douglasjia/take-a-look-at-the-data-7ba66fc4", "kernel_id": "97304"}, {"ref": "douglasjia/notebook6b16831d6d", "kernel_id": "96343"}, {"ref": "jingxuanlu/quick-dirty-randomforest", "kernel_id": "104543"}, {"ref": "jingxuanlu/notebook5d185964c2", "kernel_id": "100534"}, {"ref": "bengeorge/take-a-look-at-the-data", "kernel_id": "101374"}, {"ref": "zeenzuft/notebookd6f5f63625-e4a0f1c8", "kernel_id": "141486"}, {"ref": "zeenzuft/notebook9773ca0315", "kernel_id": "141487"}, {"ref": "zeenzuft/notebookd6f5f63625", "kernel_id": "141484"}, {"ref": "bbzinhodomal/predict-outcome-for-shelter-animals-42492ba8", "kernel_id": "148624"}, {"ref": "bbzinhodomal/predict-outcome-for-shelter-animals", "kernel_id": "148613"}, {"ref": "kuosamo/notebooked7836977d", "kernel_id": "163164"}, {"ref": "kuosamo/notebooke52c2b6af7", "kernel_id": "163171"}, {"ref": "kuosamo/notebook6ce353e55f", "kernel_id": "163175"}, {"ref": "shivampanchal/randomforest-solution", "kernel_id": "106029"}, {"ref": "marcelofaraj/notebook80b3266009", "kernel_id": "120045"}, {"ref": "giwlee/notebookadc55ad543", "kernel_id": "163163"}, {"ref": "jin3137/notebook00d752b504", "kernel_id": "164046"}, {"ref": "muhammadyasir/notebook39dc621569", "kernel_id": "134364"}, {"ref": "muhammadyasir/notebookf080b00919", "kernel_id": "134370"}, {"ref": "muhammadyasir/notebookb6f7ef7762", "kernel_id": "134375"}, {"ref": "muhammadyasir/notebook508641f307", "kernel_id": "134049"}, {"ref": "magnolia94/mangues-du-burkina", "kernel_id": "141388"}, {"ref": "magnolia94/fork-of-mangues-du-burkina-799bab70", "kernel_id": "150907"}, {"ref": "magnolia94/fork-of-mangues-du-burkina-3f0eeaf2", "kernel_id": "150903"}, {"ref": "magnolia94/fork-of-mangues-du-burkina-a43d0831", "kernel_id": "150935"}, {"ref": "magnolia94/fork-of-mangues-du-burkina-e511aade", "kernel_id": "155542"}, {"ref": "magnolia94/fork-of-mangues-du-burkina-92b7e8e4", "kernel_id": "162534"}, {"ref": "magnolia94/fork-of-mangues-du-burkina-d6454dba", "kernel_id": "163768"}, {"ref": "sarmadkashmiri/quick-dirty-randomforest", "kernel_id": "120701"}, {"ref": "sarmadkashmiri/random-forest-script", "kernel_id": "131817"}, {"ref": "mnuurf15/take-a-look-at-the-data", "kernel_id": "120204"}, {"ref": "cloudly/fork-of-mangues-du-burkina", "kernel_id": "143611"}, {"ref": "cloudly/notebooke65b62861a", "kernel_id": "141386"}, {"ref": "cloudly/notebookd3a1f64593", "kernel_id": "141387"}, {"ref": "michellejw/shelter-animals-exploration-and-visualization", "kernel_id": "157699"}, {"ref": "seonhwa/notebooke5bf450d6a", "kernel_id": "134182"}, {"ref": "khunshaali29/notebooke8265a3edd", "kernel_id": "131372"}, {"ref": "moazzam097/notebook08f9f59e6e", "kernel_id": "134376"}, {"ref": "dimonermolaev/notebook2e2cd457ee", "kernel_id": "143018"}, {"ref": "dimonermolaev/notebookfec26bae00", "kernel_id": "143041"}, {"ref": "dimonermolaev/notebook0edb6300ce", "kernel_id": "145484"}, {"ref": "akerlyn/testxgboost", "kernel_id": "199578"}, {"ref": "akerlyn/prediction-with-random-forest", "kernel_id": "196943"}, {"ref": "euv142649/notebookf03c4e3bce", "kernel_id": "156215"}, {"ref": "alexandersanity/notebook5347258378", "kernel_id": "218321"}, {"ref": "huiqihu/notebook5f73326ac0", "kernel_id": "177258"}, {"ref": "devrath9s/notebookbf316b0d0d", "kernel_id": "194599"}, {"ref": "cocaaladioxine/just-practicing", "kernel_id": "228261"}, {"ref": "kelvineng/notebook21610b58ee", "kernel_id": "248452"}, {"ref": "art1art1/ddddd", "kernel_id": "215075"}, {"ref": "wagneramaral/notebookf03a1eab90", "kernel_id": "269381"}, {"ref": "berrywedi/animal-shelter-outcome-prediction", "kernel_id": "445912"}, {"ref": "lanmao/notebook37749981f0", "kernel_id": "260792"}, {"ref": "karan1276/zombie", "kernel_id": "311781"}, {"ref": "karan1276/try3-animal-dataset", "kernel_id": "315721"}, {"ref": "slegra78/animals-in-shelters", "kernel_id": "429075"}, {"ref": "yy1252450987/animal-ml", "kernel_id": "763548"}, {"ref": "jasonwupham/shelter-animal-outcome-prediction-with-r", "kernel_id": "735726"}, {"ref": "adrian1acoran/quick-dirty-randomforest", "kernel_id": "1964453"}, {"ref": "zhoulingyan0228/shelter-animal-outcome-prediction-w-nn", "kernel_id": "1238570"}, {"ref": "yscyang1/shelter-animals-1", "kernel_id": "2373780"}, {"ref": "yscyang1/shelter-animals-2", "kernel_id": "2373842"}, {"ref": "yscyang1/shelter-animals-3", "kernel_id": "2438658"}, {"ref": "amcgregor/animal-shelter-re-uploaded-2", "kernel_id": "2394032"}, {"ref": "odilonlima/shelter-animal-outcomes-am-cin-2018-2", "kernel_id": "2120522"}, {"ref": "mathildech/kernele742dffdd1", "kernel_id": "2009391"}, {"ref": "zethione/shelter-animal-exploration", "kernel_id": "4492711"}, {"ref": "zethione/data-exploration-predict-adoption", "kernel_id": "4492853"}, {"ref": "rmabjish/austin-animal-center-wrangling-predicting", "kernel_id": "7069996"}, {"ref": "vladimirgeringer/animal-shelter-analysis", "kernel_id": "7617708"}, {"ref": "iamtalos/machine-learning-end-to-end", "kernel_id": "8267136"}, {"ref": "dblabs/fork-of-kernelce75741753", "kernel_id": "9995648"}, {"ref": "florianletsch/animal-shelter-outcomes-dataset-exploration", "kernel_id": "10757539"}, {"ref": "vishakbharadwaj/using-embbeings-for-categorical-variables", "kernel_id": "11788247"}, {"ref": "hiro1005/shelter-animal-outcomes", "kernel_id": "12055937"}, {"ref": "pinkybrain49/insights-to-help-adoption-of-shelter-animals", "kernel_id": "13816492"}, {"ref": "dawool1218/animal-210125-ml-p", "kernel_id": "14136026"}, {"ref": "slimlearn/lwk-acada-module6", "kernel_id": "15274948"}, {"ref": "kyuhwanjung2/shelter-animal-week10", "kernel_id": "17549413"}, {"ref": "toshiakikunitomi/shelter-animal-outcomes-gw", "kernel_id": "18456490"}, {"ref": "danilorosmaninho/animal-shelter-notebook-danilo", "kernel_id": "19235759"}, {"ref": "aisyahishak/notebook36af290378", "kernel_id": "20026926"}, {"ref": "kyuhwanjung2/shelteranimal-11-10", "kernel_id": "21899586"}, {"ref": "kyuhwanjung2/shelter-animal-12-11", "kernel_id": "22715840"}, {"ref": "kyuhwanjung2/shelteranimal-2022-abl", "kernel_id": "29500144"}, {"ref": "yellowduck/notebook16cdc5a2e3", "kernel_id": "34782065"}, {"ref": "ispritchin/shelter", "kernel_id": "34808193"}, {"ref": "ayushnitb/naive-multiclass-classification-approach-h2oauto", "kernel_id": "34330050"}, {"ref": "kyuhwanjung2/shelteranimal-2023", "kernel_id": "36874811"}, {"ref": "mymi26/animal-shelter-mb", "kernel_id": "38819976"}, {"ref": "euler90h/predicting-shelter-animal-outcomes", "kernel_id": "42706963"}, {"ref": "ivarvb/notebookte1", "kernel_id": "57528604"}, {"ref": "rubenapazaapaza/trabajo1", "kernel_id": "57966931"}, {"ref": "kaaf030191/trabajo01", "kernel_id": "57871326"}, {"ref": "waready/trabajoencargado1", "kernel_id": "57695170"}, {"ref": "cebrina/visualizing-breed-and-age-by-outcome", "kernel_id": "57007405"}, {"ref": "noewilbertipomamani/shelter-animal-outcomes-t1", "kernel_id": "58201598"}, {"ref": "luzlilianach/trabencargado1", "kernel_id": "58076023"}, {"ref": "marlenecusimontesino/notebookwork-1", "kernel_id": "58545746"}, {"ref": "lizapazahuanacuni/trabajo1-lizbeth-apaza", "kernel_id": "59907749"}, {"ref": "ivarvb/notebookte1marcoantonio", "kernel_id": "60143568"}, {"ref": "edwinmestas2024/animales-refugio", "kernel_id": "60078792"}, {"ref": "janezou2009/animalsheltermlbyjane", "kernel_id": "67329906"}, {"ref": "guptamols/categorical-embedding", "kernel_id": "73382425"}, {"ref": "ivarvb/dcc25pc1", "kernel_id": "83138227"}, {"ref": "ivarvb/dcc25te1", "kernel_id": "83166874"}, {"ref": "ivarvb/unaj26001", "kernel_id": "116464980"}]}
{"competition_id": "5043", "kernels": []}
{"competition_id": "5048", "kernels": [{"ref": "alexxanderlarko/keras-sample-2804", "kernel_id": "58595"}, {"ref": "atulkum/notebook-58c936f6ef69b2fed68e", "kernel_id": "82345"}, {"ref": "rombuk74/notebookd5849db93f", "kernel_id": "89900"}, {"ref": "aiwagan/keras-sample", "kernel_id": "53183"}, {"ref": "kp2357/notebook-1211c09680ea6721fd5b", "kernel_id": "76155"}, {"ref": "oswaldoludwig/keras-eigenvalue-decay-regularization", "kernel_id": "61892"}, {"ref": "noahschwartz/notebook-b30dcfff0d27599de920", "kernel_id": "77102"}, {"ref": "asymptote/notebook-506b60772f18b68410c1", "kernel_id": "62869"}, {"ref": "jadielam/keras-script-to-speed-up-computations", "kernel_id": "74432"}, {"ref": "datacanary/notebook-1ac2496495a770ef8d1e", "kernel_id": "79580"}, {"ref": "datacanary/notebook-b7942129fd4855cbacbe", "kernel_id": "79581"}, {"ref": "datacanary/r-test-5", "kernel_id": "79582"}, {"ref": "datacanary/r-test-3", "kernel_id": "79575"}, {"ref": "wendykan/scripts-are-here", "kernel_id": "52631"}, {"ref": "frantap/object-expression-farmer", "kernel_id": "56129"}, {"ref": "msolhab/notebook-1187b809772950da9a75", "kernel_id": "55285"}, {"ref": "kocman/notebook-c7a23df1f5cec3d7c7a0", "kernel_id": "82484"}, {"ref": "aconsapart/notebook-b0af8dad26d6e6b1205e", "kernel_id": "61673"}, {"ref": "aconsapart/notebook-50545a78c2cbb71226d0", "kernel_id": "61681"}, {"ref": "aconsapart/notebook-2ddc12c216d233b0cd7f", "kernel_id": "61676"}, {"ref": "aconsapart/notebook-a729ae8b388e233d83ed", "kernel_id": "61657"}, {"ref": "aconsapart/notebook-9363a6ddd77a113063de", "kernel_id": "61663"}, {"ref": "dbieber/playground", "kernel_id": "62320"}, {"ref": "soufianeorama/notebook-3ac982385483433fd496", "kernel_id": "55579"}, {"ref": "soufianeorama/notebook-70a764557f79a89c43ff", "kernel_id": "55584"}, {"ref": "titericz/just-relax-and-watch-some-cool-movies", "kernel_id": "85227"}, {"ref": "birolkuyumcu/vgg-16-pretrained-loss-0-23800", "kernel_id": "88169"}, {"ref": "hrishikeshvganu/notebook-870ca300ece11f757762", "kernel_id": "60264"}, {"ref": "hrishikeshvganu/notebook-7488ea628769edb2025c", "kernel_id": "60265"}, {"ref": "drpatrickchan/object-expression-farmer", "kernel_id": "53048"}, {"ref": "drpatrickchan/notebook-18df57c00d35e005180c", "kernel_id": "78030"}, {"ref": "ankdesh/notebook-cdeee4df303eae70275c", "kernel_id": "63195"}, {"ref": "ankdesh/notebook-eaa754d5e12fe10c2c6c", "kernel_id": "63196"}, {"ref": "ankdesh/trypretrainedfeaturesdato", "kernel_id": "63198"}, {"ref": "tzurvaich/notebook-d6310bad71d9727c8894", "kernel_id": "54520"}, {"ref": "nitthilan/understandingdata", "kernel_id": "78442"}, {"ref": "nitthilan/usingretrainedmodel", "kernel_id": "78450"}, {"ref": "nitthilan/tensorflowretrainexample", "kernel_id": "78446"}, {"ref": "ijaganjac/vgg-16-pretrained-loss-0-23800", "kernel_id": "80965"}, {"ref": "ijaganjac/notebook-afc9851533dfc622491a", "kernel_id": "80966"}, {"ref": "ijaganjac/random-forest-experiment-0", "kernel_id": "81541"}, {"ref": "vikaskapur/notebook5d99dccffb", "kernel_id": "256284"}, {"ref": "mikerpi/notebook-109c16c0818b35b8b06f", "kernel_id": "64511"}, {"ref": "samuelleach/notebook-03731f9afc5dc88c31be", "kernel_id": "53009"}, {"ref": "gongenhao/notebook-ea906263d0f6b7b737a1", "kernel_id": "55235"}, {"ref": "gongenhao/notebook-46484302f18522243153", "kernel_id": "55237"}, {"ref": "gongenhao/fast-image-pre-process-in-parallel", "kernel_id": "55240"}, {"ref": "company/effect-of-kernel-size-1", "kernel_id": "60755"}, {"ref": "company/effect-of-kernel-size-111", "kernel_id": "60802"}, {"ref": "company/dropout-0-72", "kernel_id": "60639"}, {"ref": "company/nb-conv-40", "kernel_id": "60649"}, {"ref": "company/effect-of-kernel-size", "kernel_id": "60624"}, {"ref": "company/pyrun", "kernel_id": "59393"}, {"ref": "company/create-model-v1", "kernel_id": "59412"}, {"ref": "anujkh/vgg-16-pretrained-loss-0-23800", "kernel_id": "61543"}, {"ref": "nrip21/notebook-95e2be9aa3c583098adf", "kernel_id": "58405"}, {"ref": "mattyq/testnotebook", "kernel_id": "61468"}, {"ref": "kalpanki/keras-sample", "kernel_id": "213573"}, {"ref": "lampros/openimager-and-kernelknn-in-r", "kernel_id": "77363"}, {"ref": "lampros/notebook-47098f3615caccfecc36", "kernel_id": "77357"}, {"ref": "jeremyjesse/state-farm-test", "kernel_id": "63883"}, {"ref": "abualabed/object-expression-farmer", "kernel_id": "79538"}, {"ref": "datenkieker/effect-of-kernel-size-1712", "kernel_id": "67110"}, {"ref": "henshinger/get-image", "kernel_id": "81220"}, {"ref": "danofer/notebook-7b9be75e135e2271225f", "kernel_id": "58326"}, {"ref": "cancanrafi/notebook-319fe099f2949a3c969a", "kernel_id": "78471"}, {"ref": "hintlian/testing-the-r-system", "kernel_id": "53121"}, {"ref": "sigmondo/notebook609bde9b46", "kernel_id": "101318"}, {"ref": "stoudemireyan32/notebook-e364c34d5f73c64cd40c", "kernel_id": "55395"}, {"ref": "tetmin/notebook-c8b2e0040a6a1cfa5ce5", "kernel_id": "82693"}, {"ref": "yuhaichina/vgg-16-pretrained-loss-0-23800", "kernel_id": "61219"}, {"ref": "yuhaichina/notebook-151116cb5b1a22732e9c", "kernel_id": "71836"}, {"ref": "cnrigel/vgg-16-pretrained-loss-0-23800", "kernel_id": "61241"}, {"ref": "sri0509/vgg-16-pretrained-loss-0-23800", "kernel_id": "130804"}, {"ref": "anujmehra/vgg-16-pretrained-loss-0-23800", "kernel_id": "79659"}, {"ref": "rjmishra/firstnote", "kernel_id": "65398"}, {"ref": "armenag/notebook-41e1628d89e7e3488211", "kernel_id": "52725"}, {"ref": "xiusi0721/notebook-4daffad0fae4d6aae892", "kernel_id": "72106"}, {"ref": "xiusi0721/notebook-0f0e0fe8728d1f234ccc", "kernel_id": "72065"}, {"ref": "warbean/notebook-18097870465874d1c608", "kernel_id": "60782"}, {"ref": "eliiee/tests", "kernel_id": "62350"}, {"ref": "goodok/notebook-0bc6f4379f0ba612aa40", "kernel_id": "65672"}, {"ref": "vadiraj13/pre-process", "kernel_id": "53232"}, {"ref": "fidelcastillo/object-expression-farmer", "kernel_id": "52748"}, {"ref": "vagrawal/notebook-c5b141a1efc54ea1b150", "kernel_id": "64536"}, {"ref": "vagrawal/notebook-69116897a15c772fedf7", "kernel_id": "64537"}, {"ref": "vagrawal/notebook-3521338c9f3ee128059b", "kernel_id": "64541"}, {"ref": "maxsop/notebook-85e5e18e345024e93d3a", "kernel_id": "61469"}, {"ref": "gmilosev/notebook-e43fa1b6b7baa5e6cf7b", "kernel_id": "61844"}, {"ref": "gmilosev/r-mxnet", "kernel_id": "61845"}, {"ref": "ttsuzuku/fast-image-pre-process-in-parallel", "kernel_id": "54099"}, {"ref": "ttsuzuku/notebook-9554daed3b308211a8d9", "kernel_id": "54096"}, {"ref": "jeyaram/notebook-adf2fbe6af1abc713e28", "kernel_id": "54694"}, {"ref": "filipcyprowski/notebook-d08054c87915a9133db1", "kernel_id": "67478"}, {"ref": "adason/notebook-b5c0d4213ad1cb5aeeb0", "kernel_id": "52933"}, {"ref": "adason/notebook-19ddb68713633c481fc9", "kernel_id": "52934"}, {"ref": "deliaa/notebook-69eb3ed3c725fb0ae7bc", "kernel_id": "58678"}, {"ref": "deliaa/fast-image-pre-process-in-parallel", "kernel_id": "55184"}, {"ref": "emilio/get-face-and-hands", "kernel_id": "62132"}, {"ref": "yassinealouini/an-execution-timer-decorator-python", "kernel_id": "54473"}, {"ref": "blakepan/notebook-901ec7d5e4f4cf7499a1", "kernel_id": "53973"}, {"ref": "blakepan/notebook-9d915ad53d77e1b14f74", "kernel_id": "53959"}, {"ref": "blakepan/notebook-a16d2035d75a83c8fc59", "kernel_id": "53960"}, {"ref": "blakepan/notebook-c3afb81a5e40db75cecc", "kernel_id": "53979"}, {"ref": "blakepan/notebook-10242268027309442cba", "kernel_id": "55099"}, {"ref": "blakepan/notebook-eb6df8833de993a76759", "kernel_id": "55102"}, {"ref": "blakepan/notebook-038dab08ae809e2b1a3b", "kernel_id": "55103"}, {"ref": "blakepan/notebook-018549152272a0847ef5", "kernel_id": "55097"}, {"ref": "gaitaneduardo/notebook-867ffb3c87604d0d6086", "kernel_id": "76642"}, {"ref": "jianminsun/notebook-ca6ad1e81d2411a7eeaa", "kernel_id": "65575"}, {"ref": "amitchoudhary/statefarm-v1-0", "kernel_id": "81764"}, {"ref": "iskuskov/vgg-16-pretrained-loss-0-23800", "kernel_id": "79776"}, {"ref": "jeffhebert/simulating-small-data-set", "kernel_id": "85410"}, {"ref": "sivajid/notebook-b144a5f9a1552f1f604e", "kernel_id": "57794"}, {"ref": "sivajid/notebook-995b6cdb83879938f9ff", "kernel_id": "66166"}, {"ref": "sivajid/notebook-8beb291299091db74b48", "kernel_id": "66168"}, {"ref": "sivajid/metadatacheck", "kernel_id": "66220"}, {"ref": "sivajid/notebook-0a3c95e3aae7183d770e", "kernel_id": "66305"}, {"ref": "sivajid/notebook-c325b2d2fc70a3971a8f", "kernel_id": "66545"}, {"ref": "saatetyi/theano-lasange-starter", "kernel_id": "58318"}, {"ref": "saatetyi/notebook-7176ff39459f183737e9", "kernel_id": "58345"}, {"ref": "saatetyi/notebook-42742510e1ce22d84bbe", "kernel_id": "58331"}, {"ref": "saatetyi/notebook-9179109873469b4b6824", "kernel_id": "58332"}, {"ref": "saatetyi/notebook-89afce23e26bff2db65c", "kernel_id": "58333"}, {"ref": "saatetyi/notebook-684ae88ef39a59c38605", "kernel_id": "59580"}, {"ref": "jamesdlawrence/notebook-745090d669009e436c70", "kernel_id": "76480"}, {"ref": "renescheibe/notebook-db0193f5c74f2f654223", "kernel_id": "70976"}, {"ref": "yuqingxue/notebook-25fe4ae051458988b069", "kernel_id": "58685"}, {"ref": "yuqingxue/notebook-4b5f43940c340e310250", "kernel_id": "58781"}, {"ref": "yuqingxue/fast-image-pre-process-in-parallel", "kernel_id": "58383"}, {"ref": "yuqingxue/object-expression-farmer", "kernel_id": "58418"}, {"ref": "crosofg/notebook07e176a888", "kernel_id": "219434"}, {"ref": "vivekyadav/notebook-181108fd8b1f0b3bfe31", "kernel_id": "63928"}, {"ref": "vivekyadav/notebook-38df509f5260adfe87e1", "kernel_id": "63925"}, {"ref": "vivekyadav/pca-on-image", "kernel_id": "63926"}, {"ref": "katotakuya/using-pre-trained-network", "kernel_id": "72054"}, {"ref": "jiamingkong/keras-sample", "kernel_id": "52952"}, {"ref": "nshetty/notebook-0072a31e72a5c81a525d", "kernel_id": "64383"}, {"ref": "ramjikannanakar/testing-statefarm", "kernel_id": "71907"}, {"ref": "ramjikannanakar/notebook-c04febe9dca01f34e9fc", "kernel_id": "71908"}, {"ref": "ramjikannanakar/notebook-99bdd74d5c52f83ceb32", "kernel_id": "71909"}, {"ref": "ramjikannanakar/notebook-9f69d74affcefd535daa", "kernel_id": "72538"}, {"ref": "ramjikannanakar/notebook-69de2f171fd05bb0ff8f", "kernel_id": "72548"}, {"ref": "ramjikannanakar/notebook-c67be1743214fff7981e", "kernel_id": "72516"}, {"ref": "falaktheoptimist/notebook-f7254001a91f8b919284", "kernel_id": "54803"}, {"ref": "falaktheoptimist/fast-imagepreprocessing", "kernel_id": "54795"}, {"ref": "falaktheoptimist/dataset-stats", "kernel_id": "55817"}, {"ref": "falaktheoptimist/notebook-f5b4ad85712f30fab162", "kernel_id": "55831"}, {"ref": "falaktheoptimist/notebook-7b8eb93ea1ec4569895e", "kernel_id": "55891"}, {"ref": "akshaynayak/notebook4f88de1888", "kernel_id": "97745"}, {"ref": "akshaynayak/notebooke1e0afe07c", "kernel_id": "97746"}, {"ref": "yosuke/test123", "kernel_id": "78813"}, {"ref": "yosuke/notebook-e026b44b8e77aff7a126", "kernel_id": "78808"}, {"ref": "stevendu/using-pre-trained-network", "kernel_id": "79354"}, {"ref": "pushkardakle/notebook-2a55ed6bd1aa847980d1", "kernel_id": "53629"}, {"ref": "daolam/notebook-33c940cf91e9ce65babe", "kernel_id": "80769"}, {"ref": "bschumacher/keras-sample", "kernel_id": "53646"}, {"ref": "bschumacher/theano-lasange-starter", "kernel_id": "53681"}, {"ref": "saikat78maitra/notebook-4665217338532bdae511", "kernel_id": "61527"}, {"ref": "marlene/notebookeff8fcb910", "kernel_id": "181919"}, {"ref": "davehiem/vgg-16-pretrained-loss-0-23800", "kernel_id": "87330"}, {"ref": "davehiem/vgg-16-pretrained-loss-0-23800-f7755e83", "kernel_id": "87580"}, {"ref": "chevli/notebook-0fb5c2f0b5aeee680ea2", "kernel_id": "53499"}, {"ref": "florianm/theano-lasange-starter", "kernel_id": "53653"}, {"ref": "hweave/notebook-25972f161de24f181299", "kernel_id": "53075"}, {"ref": "manoj13691/trial", "kernel_id": "86433"}, {"ref": "xuyuwei/notebook-9ac353dc602de7e07c6d", "kernel_id": "65143"}, {"ref": "xuyuwei/notebook-12404be4524638ffc178", "kernel_id": "65144"}, {"ref": "highlysnow/test1", "kernel_id": "78809"}, {"ref": "highlysnow/notebook-6fdcb967921473a58fb9", "kernel_id": "78812"}, {"ref": "ashhafez/keras-custom-learning-rate-decay", "kernel_id": "65460"}, {"ref": "rrahul/notebook-e82d983fa762181dac88", "kernel_id": "56085"}, {"ref": "amiles/keras-r-example-state-farm-distracted-driver", "kernel_id": "283345"}, {"ref": "npnbkck/notebook60e1f0933c", "kernel_id": "208440"}, {"ref": "npnbkck/notebook1eb4a8e43c", "kernel_id": "172861"}, {"ref": "ryutek/effect-of-kernel-size", "kernel_id": "59970"}, {"ref": "ryutek/vgg-16-pretrained-loss-0-23800", "kernel_id": "70392"}, {"ref": "inoryy/fast-image-pre-process-in-parallel", "kernel_id": "54058"}, {"ref": "tyrionlee/vgg-16-pretrained-loss-0-23800", "kernel_id": "60806"}, {"ref": "dasolmar/statefarm-facepalm-1", "kernel_id": "79239"}, {"ref": "thestroj/notebook-0bac7937524de07874c4", "kernel_id": "80185"}, {"ref": "vshets/notebookb096e10f64", "kernel_id": "117861"}, {"ref": "csgwon/notebook-f7cfbbfdb728fe2950de", "kernel_id": "53020"}, {"ref": "yangliu2/notebook-70636d03326021835f9f", "kernel_id": "55987"}, {"ref": "yangliu2/notebook-fd2ec05d5db164b6ff6c", "kernel_id": "56619"}, {"ref": "yangliu2/notebook-1af953d787c1c291e9cc", "kernel_id": "55715"}, {"ref": "yangliu2/notebook-122308a9788c503bdc09", "kernel_id": "55729"}, {"ref": "sadhi009/notebook-b42a5554b9022bf93d91", "kernel_id": "84679"}, {"ref": "sadhi009/notebook-2efdb55d7dad567d7c8a", "kernel_id": "81967"}, {"ref": "lmldev/notebook-521aa92b112aa217e68f", "kernel_id": "54464"}, {"ref": "mohamedaminebergaoui/notebook-172eb54eb82b7e9e8f0e", "kernel_id": "76137"}, {"ref": "sangxuan/notebook-6adf510fadda3f3b493f", "kernel_id": "54766"}, {"ref": "fredkozlo/theano-lasange-starter", "kernel_id": "55481"}, {"ref": "thuyenvn/notebook-6759b2ed10dc63302607", "kernel_id": "63318"}, {"ref": "salvatoremcdonagh/fast-image-pre-process-in-parallel", "kernel_id": "58124"}, {"ref": "mzayed/notebook-0f4c9c98a291840534bc", "kernel_id": "74175"}, {"ref": "mzayed/notebook-7616fa1683fb39b22ec3", "kernel_id": "74086"}, {"ref": "mzayed/notebook-9e9a09afc311756912cb", "kernel_id": "74087"}, {"ref": "mzayed/notebook-0e000f08b4a885da1ad1", "kernel_id": "74088"}, {"ref": "mzayed/notebook-4f37ca1f81906cfebbca", "kernel_id": "79297"}, {"ref": "mzayed/vgg16-test", "kernel_id": "79292"}, {"ref": "tianzhou7/notebook-ac681a2014833813fff9", "kernel_id": "60673"}, {"ref": "mudgal/vgg-16-pretrained-loss-0-23800", "kernel_id": "77151"}, {"ref": "mudgal/notebook-b0d27db619f4ab83623e", "kernel_id": "77153"}, {"ref": "iglovikov/fast-image-pre-process-in-parallel", "kernel_id": "70606"}, {"ref": "brunoarruda/notebook-f74a5cd2c0e6960b1ac0", "kernel_id": "57081"}, {"ref": "brunoarruda/notebook-eb42706d945b8af680d0", "kernel_id": "57083"}, {"ref": "kuanchen/vgg-16-pretrained-loss-0-23800", "kernel_id": "60699"}, {"ref": "innerproduct/naivete", "kernel_id": "53164"}, {"ref": "innerproduct/tensorflow", "kernel_id": "52688"}, {"ref": "paulgamble/vgg-16-pretrained-loss-0-23800", "kernel_id": "69322"}, {"ref": "gvakati/notebook-3c50b9dc13d59f490dde", "kernel_id": "53475"}, {"ref": "gvakati/notebook-edf2a2f24d623b89a2c6", "kernel_id": "53453"}, {"ref": "gvakati/notebook-fd5342710baf8b6877b7", "kernel_id": "53472"}, {"ref": "ahalyavikram/notebook-e9c07814289635e4d653", "kernel_id": "55874"}, {"ref": "datascientist1/notebook-59ce86fa5ce43e5601d8", "kernel_id": "78612"}, {"ref": "czeinerb/notebook-9abbe2ff82a0bd5e7156", "kernel_id": "57321"}, {"ref": "shinykorean/notebook-e9cddc3d48a063e15b87", "kernel_id": "54067"}, {"ref": "hrantkhachatrian/average-drivers", "kernel_id": "69193"}, {"ref": "hrantkhachatrian/exploratory-classes-per-driver", "kernel_id": "69063"}, {"ref": "ymcdull/notebook-7cbfe819fb40ca71fed3", "kernel_id": "72797"}, {"ref": "ymcdull/notebook-cb14194d79dccdc31767", "kernel_id": "71141"}, {"ref": "ymcdull/frank-statefarm-test", "kernel_id": "65622"}, {"ref": "moodoki/distracted-driver-test", "kernel_id": "65695"}, {"ref": "rishu271/notebook-48bdfdf96b02ca74cff2", "kernel_id": "53484"}, {"ref": "rishu271/notebook-a10174aa29f6c83634d4", "kernel_id": "53485"}, {"ref": "keisho/notebook-5dcc3ea2447c18a61c09", "kernel_id": "68702"}, {"ref": "ninggushikong/notebook-3c29a1d55e30f06c208d", "kernel_id": "79678"}, {"ref": "tonygracious/first-try", "kernel_id": "60529"}, {"ref": "tonygracious/notebook-adb62e651f34a05d0f42", "kernel_id": "62051"}, {"ref": "tonygracious/notebook-0c0811cb58246655993e", "kernel_id": "62040"}, {"ref": "tonygracious/notebook-6f54bd12d27e54f31d8c", "kernel_id": "60775"}, {"ref": "tonygracious/notebook-8a11bb0ffccd436ef9ee", "kernel_id": "60748"}, {"ref": "albarazanchi/notebook-3f420b1069e103bcfe6f", "kernel_id": "72515"}, {"ref": "mkesselaers/statefarm-distracted-drivers", "kernel_id": "84365"}, {"ref": "mkesselaers/notebook-a545f106ae7599e5d86f", "kernel_id": "84369"}, {"ref": "amineteffal/script-aminos-auto-distr", "kernel_id": "55194"}, {"ref": "thefinalwish/notebook-37bfa2234df8eb9ac05a", "kernel_id": "55295"}, {"ref": "jerrythomas/fast-image-pre-process-in-parallel", "kernel_id": "62743"}, {"ref": "eastern/notebook-1c3dcf6bfb3c095dea40", "kernel_id": "73836"}, {"ref": "kelvinm/vgg-16-pretrained-loss-0-23800", "kernel_id": "73943"}, {"ref": "ikvision/notebook-a91095767f8c22669f8e", "kernel_id": "60515"}, {"ref": "ikvision/notebook-0571ac88e034363cc563", "kernel_id": "60505"}, {"ref": "ikvision/testing-tf", "kernel_id": "60506"}, {"ref": "ikvision/notebook-715c952ce252f09d5050", "kernel_id": "60647"}, {"ref": "ikvision/notebook-3abc2379b1bef9f8944b", "kernel_id": "62546"}, {"ref": "teckyian/notebook-67bfdc03ebaf83334322", "kernel_id": "75197"}, {"ref": "adityaprithvinath/vgg-16-pretrained-loss-0-23800", "kernel_id": "198759"}, {"ref": "pemman/notebook-16eb1b58493a8d387d65", "kernel_id": "70341"}, {"ref": "youssraelqattan/notebook57b5b7b581", "kernel_id": "116749"}, {"ref": "khaledfayed/object-expression-farmer", "kernel_id": "63260"}, {"ref": "yvesmfr/vgg-16-pretrained-loss-0-23800", "kernel_id": "62134"}, {"ref": "antediemterzium/vgg-16-pretrained-loss-0-23800", "kernel_id": "68940"}, {"ref": "lasshpanzer/vgg-16-pretrained-loss-0-23800", "kernel_id": "73799"}, {"ref": "lasshpanzer/notebook-8482ec72a70ba5bd7933", "kernel_id": "73800"}, {"ref": "lasshpanzer/notebook-f0d5f23709f728e57edf", "kernel_id": "73813"}, {"ref": "alicelane/notebook-51358abbbe0f35fa274e", "kernel_id": "53568"}, {"ref": "alicelane/data-present", "kernel_id": "53569"}, {"ref": "alicelane/newtesting", "kernel_id": "57283"}, {"ref": "meanku/image-load-speed", "kernel_id": "54027"}, {"ref": "antreasantoniou/vgg-16-pretrained-loss-0-23800", "kernel_id": "65245"}, {"ref": "eemonn/notebook-e0d06f878aaf5b9815b4", "kernel_id": "55012"}, {"ref": "kevinz/notebook-bbc8ede497337876882d", "kernel_id": "68811"}, {"ref": "calvinwu/vgg-16-pretrained-loss-0-23800", "kernel_id": "61239"}, {"ref": "jyotiislam/notebook-4b3d307c1756d5c0127c", "kernel_id": "68029"}, {"ref": "jyotiislam/notebook-899cd46946009de0c8e4", "kernel_id": "68067"}, {"ref": "jyotiislam/notebook-92fca44f27dcf213df26", "kernel_id": "68068"}, {"ref": "jyotiislam/vgg-16-pretrained-loss-0-23800", "kernel_id": "68056"}, {"ref": "marziye/sf-try2", "kernel_id": "76599"}, {"ref": "marziye/statefarm-r", "kernel_id": "77672"}, {"ref": "andrelopes1705/theano-lasange-starter", "kernel_id": "53715"}, {"ref": "koladiyavitthal/vital-1", "kernel_id": "53684"}, {"ref": "koladiyavitthal/notebook-fb61a5148af48724a854", "kernel_id": "53686"}, {"ref": "koladiyavitthal/vital", "kernel_id": "53389"}, {"ref": "hemanham/pyrun", "kernel_id": "59024"}, {"ref": "mikeamy/notebook-be0a2bd0a606620e6c1e", "kernel_id": "64919"}, {"ref": "manas101/notebook-1165eea7eb1c59b2cbe2", "kernel_id": "56389"}, {"ref": "manas101/notebook-7693de139945fa4bbde7", "kernel_id": "56390"}, {"ref": "samuleev/notebook-4895bd14e38224677af3", "kernel_id": "53372"}, {"ref": "mahowak/notebook-197967fd8b6429045fdf", "kernel_id": "73085"}, {"ref": "srikrishnaeee/notebook-f1be83aa180a507b7649", "kernel_id": "76201"}, {"ref": "andredubbel/notebook-35d62e0fbd94e703c88f", "kernel_id": "63145"}, {"ref": "johnewz/notebook-0cf78893a2e0b380c3fb", "kernel_id": "61094"}, {"ref": "zveroloff/statefarm-facepalm-fork", "kernel_id": "80736"}, {"ref": "taozeng2015/test-just", "kernel_id": "67677"}, {"ref": "shrieko/notebookb1b78ac645", "kernel_id": "192689"}, {"ref": "shiyuangu/tensorflow", "kernel_id": "60637"}, {"ref": "indigan/this-is-a-test-kernel", "kernel_id": "91740"}, {"ref": "vishallakha/distracted-salman-khan-v1", "kernel_id": "77955"}, {"ref": "vishallakha/statefarm-facepalm-1", "kernel_id": "79071"}, {"ref": "gffcoutinho/keras-sample", "kernel_id": "53052"}, {"ref": "shreyas0906/test-12345", "kernel_id": "73713"}, {"ref": "victorbart/notebook-87ca75c6f9b7437bd37c", "kernel_id": "77835"}, {"ref": "hfinger/notebook-7adf1459cdf9a4be2492", "kernel_id": "57626"}, {"ref": "pchitta/sf-ir-try", "kernel_id": "58644"}, {"ref": "pchitta/sf-try1", "kernel_id": "55147"}, {"ref": "tkassis/notebook-5a60e9958fe4b359181e", "kernel_id": "59040"}, {"ref": "bohaohan/keras-sample", "kernel_id": "55163"}, {"ref": "bohaohan/notebook-ba8380bed6ead1771323", "kernel_id": "55158"}, {"ref": "plasmaphysics/notebookb437e74cf5", "kernel_id": "94291"}, {"ref": "whamfish/notebook-d0ebc434aa3faeb0a108", "kernel_id": "53172"}, {"ref": "whamfish/keras-sample", "kernel_id": "53173"}, {"ref": "mgchbot/notebook-9bf872eca9cc13bb77dd", "kernel_id": "64873"}, {"ref": "ambercloud/notebook67a20b5158", "kernel_id": "172323"}, {"ref": "ambercloud/state-farm-image-recognition", "kernel_id": "172315"}, {"ref": "rwje1984/notebook-3d0e93cc6b9d9f1ad6de", "kernel_id": "53806"}, {"ref": "rwje1984/notebook-ab46d57b92b757b563d6", "kernel_id": "55491"}, {"ref": "rwje1984/notebook-b5fe8ca5a44a46359cf2", "kernel_id": "55463"}, {"ref": "rwje1984/notebook-c891d9ed599546af9f57", "kernel_id": "55460"}, {"ref": "maabdullah47/notebook-aaf1349de5ccd579f732", "kernel_id": "73058"}, {"ref": "wang4959520/notebook-6924efb90697351353ef", "kernel_id": "70566"}, {"ref": "wang4959520/script-py", "kernel_id": "70567"}, {"ref": "nelson000/fast-image-pre-process-in-parallel", "kernel_id": "59063"}, {"ref": "nelson000/notebook-fdcfd1c0c371cfd28d0d", "kernel_id": "59064"}, {"ref": "kimduloft/notebook-732b0b400f33951908c9", "kernel_id": "65320"}, {"ref": "gautamkrc/notebook-4b965ee778dd85fce92c", "kernel_id": "74219"}, {"ref": "ashirwad/notebook-de65011de9daa698c244", "kernel_id": "79246"}, {"ref": "andypohl/notebook-1f10885d8705500288ed", "kernel_id": "66397"}, {"ref": "mohanpb/notebook-f307c5a883d1ad4a0a9c", "kernel_id": "60084"}, {"ref": "mohanpb/notebook-aa10971977d3f5fbcfde", "kernel_id": "60102"}, {"ref": "mohanpb/fast-image-pre-process-in-parallel", "kernel_id": "58408"}, {"ref": "mohanpb/notebook-117964d9407df79aeb27", "kernel_id": "58586"}, {"ref": "aomidro/notebook43fcb3bbb5", "kernel_id": "218893"}, {"ref": "narenderreddy/average-drivers", "kernel_id": "73053"}, {"ref": "londalemex/notebook-b2fed13a4f93bd07ad4c", "kernel_id": "53683"}, {"ref": "merryhunter/notebook-60f59445ed365bb663ae", "kernel_id": "62939"}, {"ref": "lestatzhang/notebook494f6b3e14", "kernel_id": "218516"}, {"ref": "tunguz/keras-sample", "kernel_id": "52984"}, {"ref": "tunguz/effect-of-kernel-size-1712", "kernel_id": "78629"}, {"ref": "joseluissarotto/notebook-c45d4106d067eb86ecb8", "kernel_id": "54122"}, {"ref": "psidom/distracted-driver-detection", "kernel_id": "63504"}, {"ref": "psidom/notebook-4d5c3b73ab06a8a5322f", "kernel_id": "63506"}, {"ref": "psidom/notebook-b3402dd99014d293476d", "kernel_id": "63507"}, {"ref": "psidom/notebook-11481de2f48564eecfe2", "kernel_id": "63508"}, {"ref": "eskagan/notebook-61e776dc0c38b7b736d3", "kernel_id": "72496"}, {"ref": "awangntu/my-first-notebook", "kernel_id": "70428"}, {"ref": "vfdev5/notebook-b0a858d6443324f1de66", "kernel_id": "78232"}, {"ref": "vfdev5/notebook-7ae3891e994fbd6b55d5", "kernel_id": "57976"}, {"ref": "vfdev5/notebook-c957b179cba5467386f0", "kernel_id": "57977"}, {"ref": "vfdev5/data-test", "kernel_id": "64374"}, {"ref": "jwhpryor/notebook-bd8de29c1d9cf57f7c1b", "kernel_id": "57870"}, {"ref": "autoliuweijie/secondtest", "kernel_id": "60050"}, {"ref": "autoliuweijie/firsttest", "kernel_id": "60045"}, {"ref": "siyuanzhao/notebook-2616b50a74b6a62cbf63", "kernel_id": "58090"}, {"ref": "siyuanzhao/notebook-4d4d38833e6f137b6275", "kernel_id": "58091"}, {"ref": "siyuanzhao/notebook-25758ac2a31687ed80bd", "kernel_id": "58093"}, {"ref": "gcoban/notebook-13a673c51500ff42cf2a", "kernel_id": "53225"}, {"ref": "arthurvive/first-try", "kernel_id": "55511"}, {"ref": "roryhr/keras-sample", "kernel_id": "53920"}, {"ref": "wannabe/notebook-0b0f7342ef013f407bec", "kernel_id": "53131"}, {"ref": "wannabe/notebook-8d19923066fa6410430e", "kernel_id": "53145"}, {"ref": "wannabe/notebook-1bc153f39942aa772ede", "kernel_id": "53143"}, {"ref": "wannabe/notebook-604750795fe79e9b3091", "kernel_id": "53157"}, {"ref": "indian/fast-image-pre-process-in-parallel", "kernel_id": "82399"}, {"ref": "indian/test-speed-cv2-not-parallel", "kernel_id": "82380"}, {"ref": "indian/notebook-130eca0c3386833a80a4", "kernel_id": "82470"}, {"ref": "indian/notebook-7acab0fbe9fbbbba229d", "kernel_id": "82063"}, {"ref": "indian/notebook-0842cbe61b801f1c1263", "kernel_id": "82064"}, {"ref": "indian/notebook-26891ab482b59b520ae8", "kernel_id": "82036"}, {"ref": "indian/okkkkk", "kernel_id": "82037"}, {"ref": "indian/statefarm", "kernel_id": "82032"}, {"ref": "indian/lkiop", "kernel_id": "82044"}, {"ref": "indian/zzzzzz", "kernel_id": "82045"}, {"ref": "indian/notebook-2706b90c0555fa423cd0", "kernel_id": "82047"}, {"ref": "indian/notebook-94abbc31cbbbe374d6e6", "kernel_id": "82769"}, {"ref": "indian/notebook-051b4c0a8b432e4f63c3", "kernel_id": "81695"}, {"ref": "pakkalav/notebook-f4c5ed1a95f425d90658", "kernel_id": "84208"}, {"ref": "pakkalav/notebook-5f4ed32f9a8e560e71b3", "kernel_id": "84209"}, {"ref": "ohi123/notebook-d0b631de14bc99e77256", "kernel_id": "73381"}, {"ref": "jianchengyang/vgg-16-pretrained-loss-0-23800", "kernel_id": "87225"}, {"ref": "jianchengyang/vgg-16-pretrained-loss-0-23800-948c0abd", "kernel_id": "87227"}, {"ref": "pointer/first-try", "kernel_id": "61277"}, {"ref": "danieleewww/let-s-fix-the-bug", "kernel_id": "79161"}, {"ref": "danieleewww/notebook-3bec2fe6308ca80ba00c", "kernel_id": "62009"}, {"ref": "youngre/notebook-3addef57e9d20878a8a4", "kernel_id": "60871"}, {"ref": "hrsels/theano-lasange-starter", "kernel_id": "67586"}, {"ref": "zfturbo/average-drivers", "kernel_id": "63982"}, {"ref": "zfturbo/test-speed-cv2-vs-scipy-vs-tensorflow", "kernel_id": "53622"}, {"ref": "zfturbo/keras-sample", "kernel_id": "52812"}, {"ref": "zfturbo/object-expression-farmer", "kernel_id": "56264"}, {"ref": "data0caolu/notebook-c10f43665ec52aaa3ea1", "kernel_id": "64353"}, {"ref": "starfishsanwich/notebook-25ba0a044801fb540f05", "kernel_id": "56987"}, {"ref": "starfishsanwich/try-read-resize", "kernel_id": "64705"}, {"ref": "theiya/theano-lasange-starter", "kernel_id": "60760"}, {"ref": "kunsuoh/keras-sample", "kernel_id": "76380"}, {"ref": "zaiddabaeen/notebookd981e3d85d", "kernel_id": "166286"}, {"ref": "gamecode23/notebook2bb71c22bd", "kernel_id": "164223"}, {"ref": "msander/notebook-5cbb9a9f1eae41ea4a60", "kernel_id": "67359"}, {"ref": "jashimbd/notebook-35ccf0d0812e87dbdcb9", "kernel_id": "57539"}, {"ref": "starwar/statefarm1", "kernel_id": "76540"}, {"ref": "starwar/sftry1", "kernel_id": "79687"}, {"ref": "starwar/keras-script-to-speed-up-computations", "kernel_id": "80667"}, {"ref": "starwar/notebook-b24df20b19230cff5d89", "kernel_id": "80823"}, {"ref": "starwar/notebook-e33520d2fffa8b501205", "kernel_id": "80821"}, {"ref": "arjoonn/starter-with-rf", "kernel_id": "52759"}, {"ref": "arjoonn/notebook-7f4a7ad076b0facb4823", "kernel_id": "52824"}, {"ref": "arjoonn/keras-sample", "kernel_id": "53235"}, {"ref": "rossxsy/notebook-8ecb38870d0457d121b8", "kernel_id": "74601"}, {"ref": "rossxsy/notebook-ba1099bb0fb090dae06c", "kernel_id": "74602"}, {"ref": "kanishdharshini/work-rep", "kernel_id": "72568"}, {"ref": "kanishdharshini/statefarm-r", "kernel_id": "71881"}, {"ref": "biggdata/notebook-46fee2b7f32b0113aab4", "kernel_id": "72732"}, {"ref": "biggdata/notebook-a6843d1c3c98ed596043", "kernel_id": "72743"}, {"ref": "awp15thu/notebook-e35645282b763e2c2650", "kernel_id": "56088"}, {"ref": "codemukul95/code-1", "kernel_id": "146673"}, {"ref": "bahramian/notebook-22519f04c84b65402a93", "kernel_id": "60232"}, {"ref": "jonnah/notebook-d429a916e70663c8dcad", "kernel_id": "53924"}, {"ref": "andrescv/fast-image-pre-process-in-parallel", "kernel_id": "54826"}, {"ref": "mcd0well/notebook-223c805d525dbc4fe558", "kernel_id": "53047"}, {"ref": "anokas/123454", "kernel_id": "61854"}, {"ref": "anokas/preprocessing-for-tensorflow", "kernel_id": "52994"}, {"ref": "anokas/notebook-43baf4dfe37f0911270f", "kernel_id": "53000"}, {"ref": "anokas/notebook-e606dc6ed41c05578221", "kernel_id": "53001"}, {"ref": "luciedamadera/notebook-675bdb639e6e7ef6641e", "kernel_id": "68051"}, {"ref": "fabsod/object-expression-farmer", "kernel_id": "56199"}, {"ref": "fabsod/notebook-7dd67d6cd278058a58ee", "kernel_id": "56200"}, {"ref": "fabsod/notebook-c4b3866246c37eff6cc8", "kernel_id": "56201"}, {"ref": "fabsod/notebook-6e797d4e63e73746e63f", "kernel_id": "56202"}, {"ref": "zavodrobotov/nb-conv-40", "kernel_id": "79221"}, {"ref": "josnar33/notebook-085cda8f0eb342a60033", "kernel_id": "58556"}, {"ref": "giranntu/notebook-743b96a2609da3d10d26", "kernel_id": "77812"}, {"ref": "kishorkumarneelagiri/notebook-55453e30ae660edf3732", "kernel_id": "76028"}, {"ref": "hengwei3012/keras-sample", "kernel_id": "63715"}, {"ref": "hengwei3012/extra-tree-drivers", "kernel_id": "63782"}, {"ref": "s7uff3r/keras-sample", "kernel_id": "142944"}, {"ref": "krywyk/notebook-aadea84c79af5736b57d", "kernel_id": "55500"}, {"ref": "sellador/zfturbo-sample", "kernel_id": "78161"}, {"ref": "srkaplan/notebook-eb56b282298998e63857", "kernel_id": "53041"}, {"ref": "kimilight/notebook-9efe540971cfdd9ea616", "kernel_id": "67332"}, {"ref": "nomtema/vgg-16-pretrained-loss-0-23800", "kernel_id": "81500"}, {"ref": "nomtema/notebook-0d668e36f7cc84007660", "kernel_id": "81501"}, {"ref": "dcmpny/notebook-82633dd0a331b5855b13", "kernel_id": "73874"}, {"ref": "jmhehir/object-expression-farmer", "kernel_id": "60096"}, {"ref": "aiiyacoub/try10001", "kernel_id": "55421"}, {"ref": "kikimiaouw/notebook-b6d9f110162dd2a6c451", "kernel_id": "77871"}, {"ref": "mohit1234/notebook-b8612d6979ad77a22b42", "kernel_id": "56461"}, {"ref": "sunlchk/object-expression-farmer", "kernel_id": "55787"}, {"ref": "sunlchk/notebook-b668a2c4f90f96fd0fd3", "kernel_id": "55789"}, {"ref": "mkakarla/notebook-0228683305d771f5e5ca", "kernel_id": "55257"}, {"ref": "shaunmeister/getting-started", "kernel_id": "54813"}, {"ref": "doniwa/notebook-ac451f09d2a336cc041b", "kernel_id": "70368"}, {"ref": "shihuai02/notebook-7046623b575bad9f7159", "kernel_id": "61821"}, {"ref": "wenxin/vgg-16-pretrained-loss-0-23800", "kernel_id": "74671"}, {"ref": "wenxin/notebook-f653bfa497ca7181acc8", "kernel_id": "74672"}, {"ref": "wenxin/notebook-50bcb94d1d4df8630fa6", "kernel_id": "74744"}, {"ref": "nakaoichiro/notebook0a2c774c69", "kernel_id": "117367"}, {"ref": "nakaoichiro/notebook-dcc8bb3a131ff9f6e87f", "kernel_id": "74582"}, {"ref": "francescolr/tensorflow", "kernel_id": "59000"}, {"ref": "jlrivero60/mio-fork", "kernel_id": "62419"}, {"ref": "jlrivero60/mio-fork-2", "kernel_id": "62436"}, {"ref": "jlrivero60/mio-fork-3", "kernel_id": "62440"}, {"ref": "chaithanya1996/adapa-driver", "kernel_id": "170498"}, {"ref": "cynwpu/notebook-ccccb15d6dbef5ae69fc", "kernel_id": "53525"}, {"ref": "cynwpu/notebook-c4d125330691d727b1ea", "kernel_id": "53526"}, {"ref": "jihyeseo/image-regression", "kernel_id": "958709"}, {"ref": "pheduardo/notebook-3ab2d105e8d518ed7547", "kernel_id": "55192"}, {"ref": "pheduardo/notebook-6f7494339b2c41fa829f", "kernel_id": "55193"}, {"ref": "abhishek333/notebook-8a6462bf1b0261b9e7a3", "kernel_id": "70058"}, {"ref": "abhishek333/keras-sample", "kernel_id": "70060"}, {"ref": "abhishek333/notebook-75fbb829d02bcfaeda71", "kernel_id": "70348"}, {"ref": "abhishek333/vgg-16-pretrained-loss-0-23800", "kernel_id": "70328"}, {"ref": "abhishek333/notebook-a7d3289ef2ab9ae5c71b", "kernel_id": "70331"}, {"ref": "soumyajitdas/notebook-16887473b3cc4e4100f8", "kernel_id": "62931"}, {"ref": "soumyajitdas/object-expression-farmer", "kernel_id": "65435"}, {"ref": "soumyajitdas/vgg-16-pretrained-loss-0-23800", "kernel_id": "68893"}, {"ref": "soumyajitdas/notebook-7965879e30b5b80cb34a", "kernel_id": "68894"}, {"ref": "vpramodkumar/notebook0f75f7fee8", "kernel_id": "123072"}, {"ref": "bigmoyan/testread", "kernel_id": "61212"}, {"ref": "yudetamago/notebook-ae6ca3c305df92a995df", "kernel_id": "84227"}, {"ref": "sageknight/text-spotter", "kernel_id": "80368"}, {"ref": "linhvannguyen/notebook-4d18f970e0921350c79d", "kernel_id": "61533"}, {"ref": "linhvannguyen/notebook-00fa68c1a7b8793ed65e", "kernel_id": "61652"}, {"ref": "linhvannguyen/object-expression-farmer", "kernel_id": "60007"}, {"ref": "gflegar/notebook-f25236f751085e2e5702", "kernel_id": "54036"}, {"ref": "matsulab/notebook477f1388b2", "kernel_id": "92586"}, {"ref": "prashantddeeep/notebook-ddd6aeaa598b80665a9e", "kernel_id": "54135"}, {"ref": "alwayssai/theano-lasange-starter", "kernel_id": "54335"}, {"ref": "suyinlong/notebook-1ec1a44e1ef74847c21d", "kernel_id": "52886"}, {"ref": "nguyentuananh1998/notebook95d9adc555", "kernel_id": "121847"}, {"ref": "protossw512/notebook-24de8001e14f84423717", "kernel_id": "59910"}, {"ref": "mlmlmlml/notebook-87ede663c376f56c63d1", "kernel_id": "55399"}, {"ref": "bastiaanbergman/object-expression-farmer", "kernel_id": "52915"}, {"ref": "bastiaanbergman/notebook-5e4ef11475b961fdc380", "kernel_id": "69112"}, {"ref": "qiaoshun8888/notebook-d9e9f415498a7d50bd14", "kernel_id": "52943"}, {"ref": "qiaoshun8888/object-expression-farmer", "kernel_id": "53234"}, {"ref": "richjones93/notebook-7d89fbc98c1a1df8742d", "kernel_id": "53797"}, {"ref": "kindbean/notebook-b07d7dc02c5b170db1f6", "kernel_id": "67376"}, {"ref": "kindbean/notebook-fcb3d45ad0d8361d6dc9", "kernel_id": "67357"}, {"ref": "kindbean/notebook-330232731cfe77443662", "kernel_id": "67431"}, {"ref": "quanle/notebook-52973a6b46fb38e451ff", "kernel_id": "79648"}, {"ref": "nicoma/notebook-372e12e31f0a3165b8b7", "kernel_id": "54606"}, {"ref": "jamesldesign/notebook-9fb1bc457d86311b37bb", "kernel_id": "53673"}, {"ref": "goldob/notebook-f07d6bcf6bdb5dff3abf", "kernel_id": "53866"}, {"ref": "python3/notebook-5378320723a96ab3ee07", "kernel_id": "53929"}, {"ref": "om1042/keras-script-to-speed-up-computations", "kernel_id": "81855"}, {"ref": "om1042/notebook-02f3309e6c2e61bdaca4", "kernel_id": "82066"}, {"ref": "karimh89/notebook-b27a1ca13b66b3dd2d4e", "kernel_id": "54542"}, {"ref": "jiaodong/notebook-3fa50fe83671da5bb6ee", "kernel_id": "60654"}, {"ref": "jiaodong/vgg-16-pretrained-loss-0-23800", "kernel_id": "60652"}, {"ref": "ardbsrn/notebook-5dbca9b99ce9c5bc0c08", "kernel_id": "54942"}, {"ref": "ardbsrn/notebook-731361d781bdacf30374", "kernel_id": "54943"}, {"ref": "ardbsrn/notebook-f9f6616e7833b4d4babb", "kernel_id": "54944"}, {"ref": "ardbsrn/notebook-4bb24cc6c5f98d97c60a", "kernel_id": "54945"}, {"ref": "ardbsrn/notebook-836bad9413c8578bac57", "kernel_id": "54946"}, {"ref": "ardbsrn/notebook-adf43e449001e42028be", "kernel_id": "54949"}, {"ref": "vasyutka/notebook-6dc9ae0f02b186f607b5", "kernel_id": "78320"}, {"ref": "girishkvs/notebook-ccab43d61ccd845a5b98", "kernel_id": "55069"}, {"ref": "pedrohaamorim/notebook-71493cdf3c982f94ccdb", "kernel_id": "59627"}, {"ref": "yuexiaoyu/notebook-efd0738f61d8a9a23292", "kernel_id": "55188"}, {"ref": "amitaroraa/test1", "kernel_id": "55336"}, {"ref": "keithshep/notebook-e987bc5ccd60196e6a96", "kernel_id": "59343"}, {"ref": "heshameraqi/notebook-ca59deb4ba164c137109", "kernel_id": "85331"}, {"ref": "yuhan210/notebook-63b4a587295a92130a6d", "kernel_id": "56291"}, {"ref": "anandsai/notebook-81a440f61921cbc659ce", "kernel_id": "57796"}, {"ref": "coms2014/notebook-c0446360310cf5394dc1", "kernel_id": "57213"}, {"ref": "bailuyuan/notebook-9a9a69274f9b35b6532d", "kernel_id": "57141"}, {"ref": "assafler/vgg-16-pretrained-loss-0-23800", "kernel_id": "74999"}, {"ref": "ssk1994/ssk2016", "kernel_id": "65481"}, {"ref": "ssk1994/notebook-c491310baf2807706581", "kernel_id": "65482"}, {"ref": "azoryk/notebook-6f5de52bb8ba15b32c0a", "kernel_id": "57912"}, {"ref": "brienjl/notebook-e5a6444d4a26cc6d5b5e", "kernel_id": "58477"}, {"ref": "sandyspitfire2016/notebook-caf483ccc4bee088fb1e", "kernel_id": "58694"}, {"ref": "keleonev/notebook-e4f29144f1b2db242285", "kernel_id": "62166"}, {"ref": "keleonev/object-expression-farmer", "kernel_id": "62617"}, {"ref": "keleonev/notebook-121a4def65e35d11777f", "kernel_id": "62618"}, {"ref": "peah90/test1", "kernel_id": "59600"}, {"ref": "alexmsi/notebook-adaa5054bbdfa195fd25", "kernel_id": "61097"}, {"ref": "alexmsi/notebook-dcb8e93d858416b51b93", "kernel_id": "61098"}, {"ref": "alexmsi/object-expression-farmer", "kernel_id": "59992"}, {"ref": "alexmsi/notebook-0ab21bea668f01d3b183", "kernel_id": "60003"}, {"ref": "alexmsi/notebook-52c15f8760b1d8451d47", "kernel_id": "65977"}, {"ref": "alexmsi/notebook-b4932596a83730bc4884", "kernel_id": "65970"}, {"ref": "alexmsi/notebook-ab601d39bf4ea7a4caf9", "kernel_id": "66256"}, {"ref": "alexmsi/notebook-846696fa6670c83f3286", "kernel_id": "66229"}, {"ref": "alexmsi/fssfsff54", "kernel_id": "66230"}, {"ref": "alexmsi/notebook-fcc7c36486bae7e84198", "kernel_id": "66223"}, {"ref": "alexmsi/notebook-fd9057f552142a65d965", "kernel_id": "66213"}, {"ref": "alexmsi/notebook-75ea8e16d554567a9aee", "kernel_id": "66214"}, {"ref": "alexmsi/notebook-6cdbe0ea14bb3505ec4c", "kernel_id": "66215"}, {"ref": "alexmsi/notebook-3484aa77ef8e1236f2a8", "kernel_id": "66216"}, {"ref": "alexmsi/notebook-e9898e8e95b3216ea54c", "kernel_id": "66217"}, {"ref": "alexmsi/notebook-62eedbf9240e3f57e4b3", "kernel_id": "66218"}, {"ref": "evia10188/notebook-b1a583e634743e9c7348", "kernel_id": "59888"}, {"ref": "datasciencek/notebook-ec7e164b5daf33eaf458", "kernel_id": "78542"}, {"ref": "datasciencek/notebook-5823480e4db1eccd704e", "kernel_id": "76310"}, {"ref": "chinmayahunagund/statefarm", "kernel_id": "82250"}, {"ref": "saidunoyer/notebook20c3f8b1e7", "kernel_id": "171856"}, {"ref": "mattiamangili/notebook20959adabc", "kernel_id": "120351"}, {"ref": "ires775/notebook-43fbdaa08f6b92b1722a", "kernel_id": "81287"}, {"ref": "kingsman142/notebook-6be1b41267ec3b6e4921", "kernel_id": "65800"}, {"ref": "kingsman142/notebook-cb644b582c62bf4cd847", "kernel_id": "65801"}, {"ref": "kingsman142/notebook-9bd4a602adc5a36a540c", "kernel_id": "65797"}, {"ref": "kingsman142/notebook-66984f4f6b444006880d", "kernel_id": "65798"}, {"ref": "kingsman142/pca-on-image", "kernel_id": "65777"}, {"ref": "kingsman142/fast-image-pre-process-in-parallel", "kernel_id": "65780"}, {"ref": "kingsman142/notebook-507f09efc0aeb8a7ee8e", "kernel_id": "65789"}, {"ref": "kingsman142/notebook-9dc0ae29d6903bb82616", "kernel_id": "65790"}, {"ref": "kingsman142/notebook-2ceda641cd78624c3159", "kernel_id": "65853"}, {"ref": "kingsman142/notebook-51929eae21695b6fe3a7", "kernel_id": "65855"}, {"ref": "yinjianhong/abcd1", "kernel_id": "79873"}, {"ref": "yinjianhong/notebook-65c7b13cf64597d15449", "kernel_id": "79871"}, {"ref": "cs96ai/notebook-1d1f31848010022f34be", "kernel_id": "70958"}, {"ref": "cs96ai/notebook-d5238b3416eca631e61e", "kernel_id": "70963"}, {"ref": "myklemo/notebook-68c9da2512a76c8e8760", "kernel_id": "64747"}, {"ref": "yskassim/notebook-45d67b7ec3f79b8119a7", "kernel_id": "64826"}, {"ref": "bamydrive/notebook-d2fcbb2d01b786b36c57", "kernel_id": "66343"}, {"ref": "lewjae/notebook742c0f0d4c", "kernel_id": "211980"}, {"ref": "annabellerolland/notebook-8e1c7e06c46ae58f45ae", "kernel_id": "66345"}, {"ref": "blackymeow/notebook-3b137886d07af5954ece", "kernel_id": "67572"}, {"ref": "yifei332/notebook-f89515302e02ef67837f", "kernel_id": "77200"}, {"ref": "yifei332/pca-on-image", "kernel_id": "77383"}, {"ref": "yifei332/notebook-dc94c510a6a731388c32", "kernel_id": "77384"}, {"ref": "yifei332/notebook-bfc821f950cf4e7c5415", "kernel_id": "77400"}, {"ref": "yifei332/notebook-6d0c77a14fa844247c1c", "kernel_id": "77401"}, {"ref": "yifei332/notebook-39f01143aed41d00035a", "kernel_id": "77455"}, {"ref": "yifei332/keras-sample", "kernel_id": "77492"}, {"ref": "yifei332/notebook-1b876c24a1eb2e897387", "kernel_id": "78196"}, {"ref": "yifei332/notebook-5ddb3a276a5aa809248c", "kernel_id": "78193"}, {"ref": "yifei332/notebook-a012531168d4a3f94a07", "kernel_id": "81132"}, {"ref": "justina/jp-driver-distr", "kernel_id": "70407"}, {"ref": "justina/lasagne", "kernel_id": "80458"}, {"ref": "justina/notebook-23565f9899608671cbe1", "kernel_id": "79799"}, {"ref": "mixflow/data-view", "kernel_id": "80211"}, {"ref": "hexibuaa/notebook-76912611e8fc51473faa", "kernel_id": "69304"}, {"ref": "aladwig06/notebook-6ece2fd1948d83e5618e", "kernel_id": "73097"}, {"ref": "aladwig06/testing-statefarm", "kernel_id": "73116"}, {"ref": "aladwig06/notebook-8d68e821cdcde102b8aa", "kernel_id": "73118"}, {"ref": "aladwig06/notebook-e8462182701c3daef01d", "kernel_id": "73633"}, {"ref": "aladwig06/notebook-65f87d7485d7bd58c9ad", "kernel_id": "73399"}, {"ref": "maoyuexin/keras-sample", "kernel_id": "74493"}, {"ref": "ekhbayar/notebook-b9127cbe5371d674decd", "kernel_id": "73019"}, {"ref": "ghlee0304/notebook-eaa0053e5969ba15e5ac", "kernel_id": "73889"}, {"ref": "jpotrymajlo/notebook-6d4b0e938f27f0ceb675", "kernel_id": "74214"}, {"ref": "captaindadja/files", "kernel_id": "78763"}, {"ref": "piercingdan/notebook-d70914c35980fe981d48", "kernel_id": "78022"}, {"ref": "piercingdan/sklearn-analysis", "kernel_id": "78026"}, {"ref": "andrewraharjo/notebook-72a81ae39dfc756ec61b", "kernel_id": "84075"}, {"ref": "andrewraharjo/a2356236", "kernel_id": "84076"}, {"ref": "andrewraharjo/notebook032c21d050", "kernel_id": "86056"}, {"ref": "nestytorres/vgg-16-pretrained-loss-0-23800", "kernel_id": "81615"}, {"ref": "niveln/r-mxnet", "kernel_id": "80619"}, {"ref": "rawbsmoot/notebook-5578ad76093457838e67", "kernel_id": "79808"}, {"ref": "backpropaganda/vgg-16-pretrained-loss-0-23800", "kernel_id": "77618"}, {"ref": "finbarr/model-py", "kernel_id": "79841"}, {"ref": "finbarr/notebook-92f7ed90500956017042", "kernel_id": "79842"}, {"ref": "gabcool/notebook66d1792cac", "kernel_id": "92611"}, {"ref": "munyari/notebook92a5ce77cc", "kernel_id": "178594"}, {"ref": "hydenli/testdetection", "kernel_id": "210295"}, {"ref": "hydenli/notebook9b5b7acbef", "kernel_id": "210293"}, {"ref": "hydenli/detection-driver", "kernel_id": "209901"}, {"ref": "hydenli/notebooka7817449d8", "kernel_id": "209891"}, {"ref": "leizhangtech/just-relax-and-watch-some-cool-movies", "kernel_id": "102554"}, {"ref": "zissou1898/notebook8a11ef10de", "kernel_id": "163030"}, {"ref": "mfabros/notebook64cfe91a02", "kernel_id": "121081"}, {"ref": "lpachuong/r-mxnet", "kernel_id": "164290"}, {"ref": "hoangnh/notebookd7c520d14b", "kernel_id": "188010"}, {"ref": "meliho/fast-image-pre-process-in-parallel", "kernel_id": "162185"}, {"ref": "neptunennn/theano-lasange-starter", "kernel_id": "230374"}, {"ref": "chintansheth/notebook9aa2c92fd9", "kernel_id": "173256"}, {"ref": "johnnyhu/notebook3c9b856238", "kernel_id": "280185"}, {"ref": "defmacro/notebook74bcd4cd5f", "kernel_id": "177791"}, {"ref": "defmacro/notebook646e42867e", "kernel_id": "177792"}, {"ref": "shilpeed/notebookf1bd668cfd", "kernel_id": "246333"}, {"ref": "dimalo/fast-image-pre-process-in-parallel", "kernel_id": "188394"}, {"ref": "lose95/try12", "kernel_id": "260690"}, {"ref": "lose95/keras-s", "kernel_id": "260684"}, {"ref": "lose95/trytoup", "kernel_id": "260680"}, {"ref": "aviwolfson/98-precent-statefarm-4-epochs", "kernel_id": "325181"}, {"ref": "ambarish/state-farm-image-analysis-2", "kernel_id": "1620520"}, {"ref": "ambarish/state-farm-image-analysis-3", "kernel_id": "1622809"}, {"ref": "ambarish/state-farm-image-analysis", "kernel_id": "1616070"}, {"ref": "kweonwooj/exploratory-data-analysis-commented-in-korean", "kernel_id": "1299228"}, {"ref": "apuayush/distracted-driver", "kernel_id": "1005484"}, {"ref": "foobar0/first-tensorflow-trial", "kernel_id": "2681093"}, {"ref": "jerrinv/driver-distraction", "kernel_id": "2785168"}, {"ref": "jerrinv/driver-distraction-using-logistic-regression", "kernel_id": "2995081"}, {"ref": "amjadm/kernel9bc0204df9", "kernel_id": "2025535"}, {"ref": "amjadm/kernelf33377257a", "kernel_id": "2056521"}, {"ref": "amjadm/kernel52180bb0ba", "kernel_id": "2065491"}, {"ref": "amjadm/kernel3f88d48b2e", "kernel_id": "2079225"}, {"ref": "amjadm/kernel8a4ea7e3ce", "kernel_id": "2080471"}, {"ref": "amjadm/kernel3a087585a5", "kernel_id": "2084768"}, {"ref": "varanr/distracted-driver-detection", "kernel_id": "2913452"}, {"ref": "bhanotkaran22/identifying-distracted-drivers", "kernel_id": "3891883"}, {"ref": "bhanotkaran22/cnn-to-detect-driver-actions", "kernel_id": "3944498"}, {"ref": "aminao4000/driver-distraction-adabound-optimizer", "kernel_id": "3633178"}, {"ref": "atulyadav01/driver-detection", "kernel_id": "3010857"}, {"ref": "pavanyekabote/driver-activity-detection-py", "kernel_id": "3443573"}, {"ref": "therajeshreddy/state-farm-image-detector", "kernel_id": "3485070"}, {"ref": "ismailchaida/cnn-to-detect-driver-actions", "kernel_id": "4756984"}, {"ref": "solpark/kernel854971f2f6", "kernel_id": "4747838"}, {"ref": "rodrigov/distracted-driver-detection-inception", "kernel_id": "4684103"}, {"ref": "sudhakar1kulai/emergenyvechile", "kernel_id": "4684682"}, {"ref": "byronkd/distracted-driver-fastai-easy-top-15-of-lb", "kernel_id": "6728165"}, {"ref": "bharatsingh213/smartdrivermonitoringsystem", "kernel_id": "6213355"}, {"ref": "sai003/distracted-driver-detection", "kernel_id": "6607421"}, {"ref": "djsmanoj/kernel90deae759e", "kernel_id": "7519351"}, {"ref": "chiragsaini97/distracted-driver-detection-using-fastai", "kernel_id": "7386061"}, {"ref": "okeaditya/distracted-driver", "kernel_id": "7358621"}, {"ref": "xanjay/deep-learning-statefarm-using-datagenerator", "kernel_id": "7580353"}, {"ref": "xanjay/simplest-deep-learning-statefarm", "kernel_id": "7353256"}, {"ref": "idolaspecus/lesson", "kernel_id": "7768317"}, {"ref": "cosmaskiplangat/cnn-to-detect-driver-actions", "kernel_id": "7843868"}, {"ref": "xinyiyu/cs766-attention", "kernel_id": "8359703"}, {"ref": "edwardfang/cs766-effcientnetb0", "kernel_id": "8485548"}, {"ref": "edwardfang/cs766-mobilenet", "kernel_id": "8485936"}, {"ref": "edwardfang/cs766-resnet", "kernel_id": "8471998"}, {"ref": "yashpatel7172/mobilenet-extra-layer", "kernel_id": "8902690"}, {"ref": "yashpatel7172/resnet-no-extra-layer", "kernel_id": "8894645"}, {"ref": "yashpatel7172/sigmoid-vgg16-extra-layer", "kernel_id": "8888263"}, {"ref": "yashpatel7172/xception-no-extra-layer", "kernel_id": "8173128"}, {"ref": "jitenpatel/state-farm", "kernel_id": "8843950"}, {"ref": "manan12/identifying-distracted-drivers", "kernel_id": "8954841"}, {"ref": "isujeeth/distracted-driver-detection-using-cnn", "kernel_id": "8341452"}, {"ref": "yashjainyrj/data-explo", "kernel_id": "8887807"}, {"ref": "yashjainyrj/vgg-new", "kernel_id": "8766502"}, {"ref": "yashjainyrj/model2-03", "kernel_id": "8763439"}, {"ref": "yashjainyrj/model2-sakec-be", "kernel_id": "8735004"}, {"ref": "yashjainyrj/model-vgg-be", "kernel_id": "8737742"}, {"ref": "mahendrachouhanml/distracted-driver-detection-inception", "kernel_id": "9302014"}, {"ref": "xinyiyu/cs766-knn", "kernel_id": "9161510"}, {"ref": "edwardfang/cs766-orb-kmeans-vbow-svm", "kernel_id": "9177751"}, {"ref": "yashpatel7172/100-epoch-sigmoid-vgg16-extra-layer", "kernel_id": "9095342"}, {"ref": "manan12/mobilenet-dlp", "kernel_id": "9495755"}, {"ref": "snide713/distracted-driver-detection", "kernel_id": "9294208"}, {"ref": "radheem98/keras-sample-af70e2", "kernel_id": "9012901"}, {"ref": "radheem98/keras-sample", "kernel_id": "9004796"}, {"ref": "radheem98/resnet50-exp", "kernel_id": "9615840"}, {"ref": "shenghongdai/training-svm-classifier-with-hog-features", "kernel_id": "9221152"}, {"ref": "k163665/to-detect-distracted-drivers", "kernel_id": "9700074"}, {"ref": "yertayzhiyenbayev/finalproject-logistic-linear-decisiontree", "kernel_id": "9229680"}, {"ref": "afrozpasha/keras-sample", "kernel_id": "9011856"}, {"ref": "anayantzinp/cnn-state-farm-distracted-driver-detection", "kernel_id": "10583056"}, {"ref": "maheer/driver-distraction", "kernel_id": "10528495"}, {"ref": "kweonwooj/kc03-day03-driversplit", "kernel_id": "11736414"}, {"ref": "kweonwooj/kc03-day03-dataaug", "kernel_id": "11739151"}, {"ref": "kweonwooj/kc03-advanceddataaug", "kernel_id": "11769294"}, {"ref": "pranjulitondia/notebook88f75efe71", "kernel_id": "11175361"}, {"ref": "yashkulkarni98/cnn-types-scratch-batchnorm-data-aug", "kernel_id": "11943643"}, {"ref": "hidebu/200830-prediction-try", "kernel_id": "11344675"}, {"ref": "ashishbisoi236/distracted-driver-fastai", "kernel_id": "12474220"}, {"ref": "adityav1810/predict-driver-detection", "kernel_id": "12549628"}, {"ref": "abnsl0014/notebookca71e30046", "kernel_id": "12259943"}, {"ref": "kaustubhshirpurkar/distracted-driver-detection", "kernel_id": "12470039"}, {"ref": "tharhtetsan/tensorflow-2-3-and-resnet-transfer-learning", "kernel_id": "12348792"}, {"ref": "sriranjanijagadeesan/driverdistractnb", "kernel_id": "12565669"}, {"ref": "gokulyc/state-farm-distracted-driver-detection-cnn", "kernel_id": "12004240"}, {"ref": "fficial/distracted-driver-detection", "kernel_id": "12198012"}, {"ref": "arjune15pb/distracted-driver-detection-kaggle-competition", "kernel_id": "12367243"}, {"ref": "ritishmadan/driver-distraction-detection", "kernel_id": "12273574"}, {"ref": "prof911911/notebook3a56b1ae6a", "kernel_id": "12929622"}, {"ref": "ashishbisoi236/be-project-1", "kernel_id": "13071802"}, {"ref": "pavankalyankanakam/ddvgg16", "kernel_id": "13125197"}, {"ref": "rawanmajedlazkani/distracted-driver-detection", "kernel_id": "13724721"}, {"ref": "amrutiashivani/cv-driver-distraction", "kernel_id": "13893716"}, {"ref": "jaswanthreddysareddy/driverstate-vgg16", "kernel_id": "13127545"}, {"ref": "sadequ/caffecnn", "kernel_id": "14334511"}, {"ref": "pallavisinha12/driverposition", "kernel_id": "14837174"}, {"ref": "shitijseth/state-farm-distracted-drivers-detection", "kernel_id": "14684937"}, {"ref": "harishml/driver-distraction", "kernel_id": "14438377"}, {"ref": "dawool1218/driver-dl-p", "kernel_id": "14294857"}, {"ref": "abhinavkrjha/using-cnn-architecture-99-631-accuracy", "kernel_id": "15207405"}, {"ref": "abhinavkrjha/using-vgg16-final-layer-92-acc-fast-training", "kernel_id": "15209470"}, {"ref": "sushma123/distracted-driverdetection", "kernel_id": "15344671"}, {"ref": "ssf0921/notebooke7d17ae5e6", "kernel_id": "15533022"}, {"ref": "sureshhpba05/using-cnn-architecture-99-55-accuracy-suresh", "kernel_id": "15258891"}, {"ref": "sureshhpba05/final-work", "kernel_id": "15166544"}, {"ref": "kartik18chaudhary/basic-cnn-with-keras", "kernel_id": "15202198"}, {"ref": "derure/notebook740fc63db0", "kernel_id": "15686740"}, {"ref": "nodayshalleraseyou/state-farm-group-3", "kernel_id": "15622133"}, {"ref": "mrha1010/using-cnn-architecture-99-631-accuracy", "kernel_id": "15404492"}, {"ref": "anuragsharma1097/distracted-driver-detection", "kernel_id": "15502826"}, {"ref": "pragadeeshsureshbabu/pranav-submission", "kernel_id": "16354673"}, {"ref": "kaus22/distracted-driverdetection", "kernel_id": "16049188"}, {"ref": "aniketkumar123/notebook9f45d1e935", "kernel_id": "16992634"}, {"ref": "davinciaristotle/notebook82ed793bf1", "kernel_id": "17750626"}, {"ref": "abhishekdhule/distracted-driver", "kernel_id": "17889308"}, {"ref": "hebamo7amed/final-work-using-cnn-architecture", "kernel_id": "17186368"}, {"ref": "owenmyung/ml-project", "kernel_id": "17271704"}, {"ref": "gyubinlee/cs376-team-project-210613", "kernel_id": "17709008"}, {"ref": "kaistjongchanpark/notebook2cd8cf3fa5", "kernel_id": "17005498"}, {"ref": "samtiz/notebookad42030536", "kernel_id": "17448688"}, {"ref": "evilrider/driver", "kernel_id": "18866372"}, {"ref": "abhishekdhule/distracted-driver-2569a8", "kernel_id": "18320210"}, {"ref": "praveenmaripeti/state-farm-distracted-driver-detection-with-keras", "kernel_id": "18519377"}, {"ref": "agrawalmayank/distracted-driver-2569a8", "kernel_id": "18241939"}, {"ref": "jayeshdeorukhkar/vgg16-320-x-240", "kernel_id": "18822502"}, {"ref": "jayeshdeorukhkar/sequential-200x280", "kernel_id": "18966806"}, {"ref": "hebamo7amed/driver-activity-detection-experiment-3", "kernel_id": "18454787"}, {"ref": "yahia3200/driver-action-detection-using-efficientnets", "kernel_id": "19506693"}, {"ref": "theophilusfakiyesi/distracted-driver-detection-648ca9", "kernel_id": "19150564"}, {"ref": "pierrelouisdanieau/computer-vision-tips-to-increase-accuracy", "kernel_id": "20900103"}, {"ref": "agrawalmayank/sequential-280x200", "kernel_id": "20386535"}, {"ref": "johnnydeppjr/densenet201-maars", "kernel_id": "20361160"}, {"ref": "sarahh222/mobilenet-with-revamped-dataset", "kernel_id": "20359614"}, {"ref": "shubhamjain99/distracted-driver-detection", "kernel_id": "20392189"}, {"ref": "vsalosyatov/computer-vision-distraction-detection", "kernel_id": "21785810"}, {"ref": "stpeteishii/driver-detection-movenet", "kernel_id": "21699746"}, {"ref": "rohanmandrekar/ml-project", "kernel_id": "21632594"}, {"ref": "seolryeongan/state-farm-distracted-driver-detection-practice", "kernel_id": "21782393"}, {"ref": "jatupon/noob-code-cnn-by-noob-people-with-noob-computer", "kernel_id": "21929867"}, {"ref": "deminaliv/computer-vision-distraction-detection-add165", "kernel_id": "22205873"}, {"ref": "vsalosyatov/xai-computer-vision-distraction-detection", "kernel_id": "22337422"}, {"ref": "seele1917/state-farm-distracted-driver-detection-answer", "kernel_id": "22300518"}, {"ref": "seele1917/state-farm-distracted-driver-detection-practice", "kernel_id": "22299979"}, {"ref": "agrawalmayank/sequential-alexnet-256x256", "kernel_id": "22571450"}, {"ref": "agrawalmayank/vgg16-200-x-280", "kernel_id": "22694169"}, {"ref": "ahmedelrouby/cnn-to-detect-driver-actions", "kernel_id": "22961834"}, {"ref": "bailiegeddes/resnet50-implementation-17beg", "kernel_id": "22266912"}, {"ref": "achrafyaakoub/notebook52da759d59", "kernel_id": "22342080"}, {"ref": "namotechno/dl-projet-soumahoro-mohamed-namory", "kernel_id": "23532223"}, {"ref": "danielgabbayapps/using-cnn-architecture-99-631-accuracy-c22e37", "kernel_id": "23696796"}, {"ref": "bshobhit67/distracted-driver-detection", "kernel_id": "23603539"}, {"ref": "karkisa/simple-pipeline-pytorch-lightning", "kernel_id": "23604754"}, {"ref": "youssefelzamzamy/project-4th-draft", "kernel_id": "23709019"}, {"ref": "jonasstark/new-eda", "kernel_id": "23993862"}, {"ref": "jonasstark/rnn-state-farm-distracted-driver-detection", "kernel_id": "23824563"}, {"ref": "goelyash/snake-classification-f1-score-74-4", "kernel_id": "24652941"}, {"ref": "avi0901/distracted-driver-detection-main", "kernel_id": "24891396"}, {"ref": "tarunvirsingh/lab-eval-101903202-tarunvirsingh", "kernel_id": "24891134"}, {"ref": "yaolisha/csphdis1-final-project-yao-lisha-zhang-yiwen", "kernel_id": "24023784"}, {"ref": "digit234/projet-deep-kanga-stephane", "kernel_id": "24918973"}, {"ref": "pranjalgupta29/evaluative-assignment-pranjal-gupta-102083042", "kernel_id": "25398552"}, {"ref": "bhavinmoriya/distracted-driver-classification", "kernel_id": "25999089"}, {"ref": "nikheeeljain/state-farm-distracted-driver-resnet", "kernel_id": "25385960"}, {"ref": "nikheeeljain/state-farm-distracted-driver-rapids-ensemble", "kernel_id": "25353422"}, {"ref": "aminesnoussi/distracted-driver-detection", "kernel_id": "25053010"}, {"ref": "dj67rockers/distracted-driver-eda-and-93-validation-accuracy", "kernel_id": "25850640"}, {"ref": "arnabmaity01/distracteddriverdetection", "kernel_id": "25263797"}, {"ref": "anmolian/distracted-driver-classification", "kernel_id": "25400380"}, {"ref": "prashantkashyap26498/identifying-distracted-drivers", "kernel_id": "25857776"}, {"ref": "mrigugupta/distracted-driver-detection-evaluation", "kernel_id": "25375666"}, {"ref": "pabfede/l3p2-conducir-ipynb", "kernel_id": "25854227"}, {"ref": "araspirbadian/distracted-driver-detection", "kernel_id": "25084420"}, {"ref": "navneetka13/distracteddriverdd", "kernel_id": "25378716"}, {"ref": "ramanand12/distracted-driver-detection", "kernel_id": "26936572"}, {"ref": "samscott1/distracted-driver-baseline-cnn-notebook", "kernel_id": "26308014"}, {"ref": "shivakiran22/final-project", "kernel_id": "27867293"}, {"ref": "marcomarchetti/distracted-driver-detection-using-cnn", "kernel_id": "28957643"}, {"ref": "maryammaged/deep-learning-cv", "kernel_id": "28602291"}, {"ref": "ahmedsamehmostafa/dl-project", "kernel_id": "28533391"}, {"ref": "marwarabia/state-farm-distracted-driver-detection", "kernel_id": "28452896"}, {"ref": "azzaali/system-for-distraction-detection-and-monitoring", "kernel_id": "28602879"}, {"ref": "bshobhit67/distracted-driver-detection-gh", "kernel_id": "28356348"}, {"ref": "mhelgarnosy/dense-layers-cnn-layers-res-tf-visualization", "kernel_id": "28515115"}, {"ref": "zahraahesham/dl-cv", "kernel_id": "28637480"}, {"ref": "irazer/state-farm-distracted-eda", "kernel_id": "28399416"}, {"ref": "longvan92/using-resnet-99-success-rate-on-validation-test", "kernel_id": "28013749"}, {"ref": "navdip/resnet", "kernel_id": "29705213"}, {"ref": "ashutoshsinha/state-farm-distracted-driver-detection", "kernel_id": "30945912"}, {"ref": "anandparmar/distracted-driver-classification-cnn-pytorch", "kernel_id": "30848843"}, {"ref": "mallickkaungkon/asl-characters", "kernel_id": "30338343"}, {"ref": "pendelaashik/ml-final-project", "kernel_id": "30301462"}, {"ref": "buffyhridoy/ridhi-melanoma-test-1", "kernel_id": "31311540"}, {"ref": "oussamayousre/driver-state-detection", "kernel_id": "31380882"}, {"ref": "sinhasau/capstone", "kernel_id": "31515431"}, {"ref": "pashadevacc/driver-distraction", "kernel_id": "32274176"}, {"ref": "meghaagrawal/distracted-driver-test-1", "kernel_id": "33342813"}, {"ref": "yasminedagdoug/computer-vision", "kernel_id": "33425249"}, {"ref": "sarvagyaporwal/distracted-driver", "kernel_id": "33231182"}, {"ref": "vaishnavitn/ml-assignment", "kernel_id": "33286097"}, {"ref": "bladeduchiha/driver-activity-detection-py", "kernel_id": "33851932"}, {"ref": "abhinavkrjha/vgg16-93-accuracy-transfer-learning", "kernel_id": "34615678"}, {"ref": "luinthepeak/class-attention-resenet50-224-x-224", "kernel_id": "34931981"}, {"ref": "fauzanmohammed/state-of-driver-detection", "kernel_id": "34258090"}, {"ref": "venkatavamsi/notebookd1d030ed18", "kernel_id": "34147067"}, {"ref": "hlf2001/driver-monitor", "kernel_id": "35253366"}, {"ref": "snarayani/state-farm-distracted-driver-detection-answer", "kernel_id": "35920798"}, {"ref": "yehiahassanain/driver", "kernel_id": "35681067"}, {"ref": "sushant097/pytorchlightning-state-driver-detection", "kernel_id": "36898003"}, {"ref": "ahmedsooft/dl-project-final", "kernel_id": "36067692"}, {"ref": "fatmagamal/dl-project", "kernel_id": "36290276"}, {"ref": "hagerbesar/driver-detection", "kernel_id": "36776182"}, {"ref": "mosobhy/distracted-driver-detection", "kernel_id": "36887922"}, {"ref": "andrewabdelmessih/state-driver-detection", "kernel_id": "36637624"}, {"ref": "ishandandekar/driver-distraction-identification", "kernel_id": "36237014"}, {"ref": "nishantkumar21092002/distracted-driver-detection", "kernel_id": "36175293"}, {"ref": "sushantpargaonkar/resnet50-project", "kernel_id": "36691931"}, {"ref": "pratikkarangle/driverdistractionscratch", "kernel_id": "36629835"}, {"ref": "patilchetan/datathon-iii", "kernel_id": "36637638"}, {"ref": "mob2dr/distracted-driver-detection-project", "kernel_id": "36120562"}, {"ref": "abelrevelation/abel-model-state-farm", "kernel_id": "36336898"}, {"ref": "rimja723/state-farm-distracted-driver-detection-eda", "kernel_id": "36005475"}, {"ref": "rimja723/state-farm-distracted-driver-detection-inference", "kernel_id": "36607210"}, {"ref": "rimja723/state-farm-distracted-driver-detection-train", "kernel_id": "36575098"}, {"ref": "ehabnabil4/dl-project-final-smart", "kernel_id": "36119856"}, {"ref": "mohanadahmed125/state-farm-distracted-driver-detection-99-val-acc", "kernel_id": "37241321"}, {"ref": "keerthanamagadi/mech-project", "kernel_id": "37523842"}, {"ref": "adarshsingh1/system-for-distraction-detection-and-monitoring", "kernel_id": "38424145"}, {"ref": "achmadyunedaalfajr/skripsi-05-22-2023-svm-pca-scrath-cnn-lib-v4", "kernel_id": "38822124"}, {"ref": "umairshahpirzada/tomato-leaf-disease-classification-mobilenet", "kernel_id": "38125728"}, {"ref": "ishaandubey123/system-for-distraction-detection-and-monitoring", "kernel_id": "38554331"}, {"ref": "ponakilan/distracteddriverdetection", "kernel_id": "39152719"}, {"ref": "andreabernini/distracted-driver", "kernel_id": "39979408"}, {"ref": "yomnaehab/state-farm-distracted-driver-detection", "kernel_id": "39749653"}, {"ref": "whykartik/notebook90e62f0207", "kernel_id": "39986025"}, {"ref": "tkcreators/driver-distraction-identification", "kernel_id": "40701116"}, {"ref": "pranavagarwal03/cnn-naive", "kernel_id": "41117595"}, {"ref": "rajputnavya/distracted-driver-detection", "kernel_id": "41477099"}, {"ref": "nawalmohamed/distracted-driver-detection", "kernel_id": "42807638"}, {"ref": "mriduldavesar/distracted-driver-detection", "kernel_id": "43927688"}, {"ref": "limitedonly41/resnet", "kernel_id": "44655880"}, {"ref": "superbigfive/cnn-for-state-farm-distracted-driver-detection", "kernel_id": "45154006"}, {"ref": "maiznadeem/distracted-driver-detection-project", "kernel_id": "45970942"}, {"ref": "vineethkanaparthi/ddd-fastaiv3", "kernel_id": "46887375"}, {"ref": "swastikmajumdar/computer-vision-distraction-detection", "kernel_id": "46676719"}, {"ref": "ruhankabirrk/deep-learning-workflow-6d5ade", "kernel_id": "46734774"}, {"ref": "vineethkanaparthi/ddd-inference", "kernel_id": "47127361"}, {"ref": "vineethkanaparthi/ddd-inference2", "kernel_id": "47281403"}, {"ref": "aakibkhan786/aakib-khan", "kernel_id": "47517376"}, {"ref": "nianrunxi/my-distracted-driver-classification-cnn", "kernel_id": "47546508"}, {"ref": "mohamedazizjabri/cnn-to-detect-driver-actions", "kernel_id": "47859388"}, {"ref": "nianrunxi/resnet-driver111", "kernel_id": "48261998"}, {"ref": "nianrunxi/xnr-xception-driver", "kernel_id": "48524259"}, {"ref": "nianrunxi/xnr-write-bottleneck", "kernel_id": "48525202"}, {"ref": "nianrunxi/xnr-cnn4", "kernel_id": "48457668"}, {"ref": "antonyzappacosta/resnet50-tl", "kernel_id": "48952802"}, {"ref": "jjjasonnn/cnn-to-detect-driver-actions", "kernel_id": "48454115"}, {"ref": "hihihidb/vgg16-pytorch", "kernel_id": "49859966"}, {"ref": "ishwarbb23/vgg-16-pretrained-loss-0-23800", "kernel_id": "49303208"}, {"ref": "ekaansh/project-computer-vision-try6", "kernel_id": "51516702"}, {"ref": "ekaansh/project-computer-vision-6-split-try1", "kernel_id": "51532724"}, {"ref": "nirmit19/braintumorcnn", "kernel_id": "51033913"}, {"ref": "aditikambojd/proper-valid-train-split6-try2", "kernel_id": "51590910"}, {"ref": "ahmedkamal111/inception-model-for-driver-distraction-dataset", "kernel_id": "51421819"}, {"ref": "ekaansh/optuna-testing-full-data", "kernel_id": "52182814"}, {"ref": "ibrahimmustafa123/dl-cv-project", "kernel_id": "52888449"}, {"ref": "zeyad1mashhour/distraction-model", "kernel_id": "52720120"}, {"ref": "ekaansh/efficientnet-testing-full-data-data-augmentation", "kernel_id": "53269555"}, {"ref": "ekaansh/fork-of-optuna-testing-full-data", "kernel_id": "53442715"}, {"ref": "ekaansh/dinov2-optuna", "kernel_id": "53826241"}, {"ref": "alinassermmohamed/deep-learning-project", "kernel_id": "53520886"}, {"ref": "abdomostafa/deep-learning-project", "kernel_id": "53581199"}, {"ref": "muhammetbareket/computer-vision-distraction-detection", "kernel_id": "53290060"}, {"ref": "sreejavankayalapati/driver-detection", "kernel_id": "53301780"}, {"ref": "aditikambojd/convnext-model", "kernel_id": "53234654"}, {"ref": "aditikambojd/data-augmentation", "kernel_id": "53186978"}, {"ref": "ziadelassal/notebook3ab82ebf79", "kernel_id": "53534327"}, {"ref": "marwaelsherif/nnfinalproject", "kernel_id": "53473104"}, {"ref": "slushpanda/ai-proj", "kernel_id": "53239673"}, {"ref": "benblam/using-resnet-99-success-rate", "kernel_id": "53651976"}, {"ref": "benblam/distracted-driver-detection", "kernel_id": "53659166"}, {"ref": "omar1536/fork-of-state-farm-distracted-driver-detect-e63d58", "kernel_id": "53908047"}, {"ref": "ekaansh/fork-of-dinov2-optuna-3abdf6", "kernel_id": "54498032"}, {"ref": "ekaansh/fork-of-dinov2-optuna-3abdf6-ac3662", "kernel_id": "54646802"}, {"ref": "rahulsingh04/multiple-transfferlearning-technique", "kernel_id": "54170256"}, {"ref": "habibashera/farm-distracted-driver-detection-using-pytorch", "kernel_id": "54326042"}, {"ref": "karakoza22/train-yolo-v8-on-custom-dataset", "kernel_id": "54524775"}, {"ref": "kenzyaggour/state-farm-distracted-driver-detection", "kernel_id": "54321806"}, {"ref": "aditikambojd/fork-of-dinov2-optuna", "kernel_id": "54018427"}, {"ref": "wonreno/distracted-driver-detection-model-edited-by-woo", "kernel_id": "54203356"}, {"ref": "georgek1205/distracted-driver-detection", "kernel_id": "54202846"}, {"ref": "ekaansh/efficient-net-v2-l-optuna", "kernel_id": "55405017"}, {"ref": "ekaansh/convnext-model-augmentation", "kernel_id": "55105653"}, {"ref": "ekaansh/convnext-model-without-augmentation", "kernel_id": "55105672"}, {"ref": "aditikambojd/fork-of-fork-of-convnext-model", "kernel_id": "55039011"}, {"ref": "aditikambojd/fork-of-fork-of-fork-of-convnext-model", "kernel_id": "55044926"}, {"ref": "kkamal2003/distracted-driver-detection", "kernel_id": "55152703"}, {"ref": "ngocdung211/mobilenet", "kernel_id": "55114648"}, {"ref": "chuducphu/resnet50-sf3d-depthwise", "kernel_id": "55565037"}, {"ref": "trillertj/using-resnet-99-success-rate", "kernel_id": "57499931"}, {"ref": "shimaakhaled/driver-distraction-yolo", "kernel_id": "57448448"}, {"ref": "nayanemaria/deteccao-de-motorista-distraido", "kernel_id": "57117681"}, {"ref": "kownain/train-yolo-v8-on-custom-dataset", "kernel_id": "57121791"}, {"ref": "aadityamittal11/notebook0ba4e09a2a", "kernel_id": "58983106"}, {"ref": "ashutoshranjan2209/cnn-on-distracted-driver-dataset", "kernel_id": "58035564"}, {"ref": "kompakorn/projectai", "kernel_id": "60771230"}, {"ref": "chuducphu/self-supervised-vgg16", "kernel_id": "60881652"}, {"ref": "hughiephan/distracted-driver-with-dino-vit", "kernel_id": "60401017"}, {"ref": "snehakhatrii/driver-analysis-and-system", "kernel_id": "60722721"}, {"ref": "samnaing/cnn-attention", "kernel_id": "62209501"}, {"ref": "magizhshankar/state-driver-detection", "kernel_id": "62967059"}, {"ref": "ichigoku/distraction-detection-using-vgg16-resnet50-yolo", "kernel_id": "63383873"}, {"ref": "iskode/indabax-gam24-distracted-driver", "kernel_id": "64375765"}, {"ref": "waradeatharvabhijit/state-farm", "kernel_id": "64185275"}, {"ref": "mostafiz53/stwebcam2-densenet201", "kernel_id": "65856402"}, {"ref": "diegobarrera25/distraction-detection-using-vgg16-resnet50-yolo", "kernel_id": "67171627"}, {"ref": "janaashraf/distracted-driver-detection", "kernel_id": "67046883"}, {"ref": "arihantdebnath/distracted-driver", "kernel_id": "68095410"}, {"ref": "haikoi150423com/distracted-driver-detection", "kernel_id": "68093088"}, {"ref": "hungnm19/phonealert", "kernel_id": "68609233"}, {"ref": "marwanehab27/notebook7c3f0a2628", "kernel_id": "69521591"}, {"ref": "rjvk2001/distraction-detection-using-vgg16-resnet50-yolo", "kernel_id": "70387690"}, {"ref": "asifhasan24/few-shot-image-classification", "kernel_id": "71057004"}, {"ref": "asifhasan24/using-cnn-architecture-99-631-accuracy", "kernel_id": "71066269"}, {"ref": "asifhasanex/driver-dhoro", "kernel_id": "71465223"}, {"ref": "shubx10/major-project", "kernel_id": "71446347"}, {"ref": "ft045e/modelo", "kernel_id": "71325827"}, {"ref": "sayedgamal99/submission-into-state-farm-competition", "kernel_id": "75976091"}, {"ref": "sayedgamal99/in-cabin-state-farm-distracted-driver-detection", "kernel_id": "75767365"}, {"ref": "obpeterapp/group6-car-driver-dectection", "kernel_id": "77948069"}, {"ref": "vivekhotchandani2503/cv-project-1", "kernel_id": "78282295"}, {"ref": "rohitganeshkar/distraction-detection-using-vgg16-resnet50-yolo", "kernel_id": "79131881"}, {"ref": "vivekhotchandani2503/cv-alternate-1", "kernel_id": "79113670"}, {"ref": "nabeelzamel/vit-fine-tuning-eval-per-client", "kernel_id": "81603294"}, {"ref": "gaurnitai/distraction-detection-using-vgg16-resnet50-5a4fa9", "kernel_id": "81828822"}, {"ref": "hadeershrif/mobilenet", "kernel_id": "82680627"}, {"ref": "hadeershrif/hadeer-tflearning", "kernel_id": "82617002"}, {"ref": "narciss577/computer-vision-distraction-detection", "kernel_id": "82421045"}, {"ref": "michaelwagdywahibnu/graddddd", "kernel_id": "83473402"}, {"ref": "ramedess/distracted-driving-mob", "kernel_id": "83288599"}, {"ref": "ramedess/mob-cbam", "kernel_id": "83304569"}, {"ref": "mikhaylov1007/driver-classification", "kernel_id": "85600874"}, {"ref": "crazycoder8789/distracted-driver-detection", "kernel_id": "86319247"}, {"ref": "yashshukla657/distracted-driver-detection", "kernel_id": "88512971"}, {"ref": "mohanadsalah11/notebook68073731e5", "kernel_id": "88823056"}, {"ref": "omarabboud104/notebook1308b73aa5", "kernel_id": "89944216"}, {"ref": "abdelrahmanelwan/vision-major-task", "kernel_id": "89000165"}, {"ref": "ahmedomar24/machinevision-dense-neural-network", "kernel_id": "89920682"}, {"ref": "hiratoheed/objectinhanddetection-smartdrivingmonitoring", "kernel_id": "90889076"}, {"ref": "ahmedomar24/machinevision-convolutional-neural-network", "kernel_id": "90028914"}, {"ref": "ahmedomar24/transfer-learning-models-resnet", "kernel_id": "90029093"}, {"ref": "quanzusi/distracted-driver-detection", "kernel_id": "91542719"}, {"ref": "sidt009/notebooke15f3c47ef", "kernel_id": "92356595"}, {"ref": "mohammedehab100/state", "kernel_id": "92354755"}, {"ref": "saniatkhan/car-insurance", "kernel_id": "94275156"}, {"ref": "bramyasree/notebookff53e896b1", "kernel_id": "94211550"}, {"ref": "nikhilkumarsolanki/notebook648535fac4", "kernel_id": "96657935"}, {"ref": "usmansarwar143/usman-yolo-safedrive", "kernel_id": "99448113"}, {"ref": "amanichamakh/notebook1139093c9c", "kernel_id": "101483424"}, {"ref": "jackjones11222/n-n-1", "kernel_id": "101881503"}, {"ref": "bavariaan/cv-driver-distraction", "kernel_id": "103965733"}, {"ref": "sberfinkorkmaz/using-cnn-architecture-99-631-accuracy", "kernel_id": "104942508"}, {"ref": "sberfinkorkmaz/using-vgg16-final-layer-92-acc-fast-training", "kernel_id": "104966244"}, {"ref": "moh3we5/state-farm-distracted-driver-detection", "kernel_id": "105846848"}, {"ref": "tuhanasinan/driver-detection-yolo-v8", "kernel_id": "105058905"}, {"ref": "sberfinkorkmaz/notebook91c585e462", "kernel_id": "105089785"}, {"ref": "shxshwxt/distracted-driver-detection-resnet50", "kernel_id": "105207320"}, {"ref": "noahwalker18/notebook8759c2276a", "kernel_id": "105081080"}, {"ref": "vincentjacobkob/experiments-ddd", "kernel_id": "107046657"}, {"ref": "nikhilsaravanan/ddd-system-96-accuracy", "kernel_id": "108213799"}, {"ref": "mihikamaheshwari03/farm-distracted-driver-detection-using-pytorch", "kernel_id": "108396545"}, {"ref": "jaswanthpothuru/after-gan-acc", "kernel_id": "110604050"}, {"ref": "jaladhisamarakoon/notebook745cbcd51e", "kernel_id": "111337420"}, {"ref": "congleizhao/exploratory-data-analysis-eda-driver-state-detec", "kernel_id": "112780447"}, {"ref": "jiewenni/exploratory-data-analysis-eda-driver-state-detec", "kernel_id": "112986488"}, {"ref": "alisakour/driver-tashattut", "kernel_id": "113413758"}, {"ref": "nourel23455/projet-deep-learning", "kernel_id": "115830289"}, {"ref": "aqilllali/notebookbcad43407f", "kernel_id": "116967958"}, {"ref": "vikrantkumarroy/notebookd6c7df0a4b", "kernel_id": "116826785"}, {"ref": "emmanuelpintelas/image-based-ml-master-vision-classification", "kernel_id": "117292213"}, {"ref": "thanoskonstantatos/vision-classification", "kernel_id": "117502994"}, {"ref": "eyavazaiou/homework-2", "kernel_id": "117688855"}, {"ref": "emmanuelpintelas/lec-9-ml-lab-7-transfer-learning-ml-master", "kernel_id": "118120949"}, {"ref": "duanluuvan/state-farm-phase2-swa3e6-warmup1ep-mixupep1-v4", "kernel_id": "118921338"}, {"ref": "duanluuvan/state-farm-phase2-swa3e6-warmup1ep-mixupep1-v3", "kernel_id": "118922423"}, {"ref": "giannischaralampis/image-based-ml-master-vision-classification-g-ch", "kernel_id": "118193777"}, {"ref": "songjunhan/mlexpc2", "kernel_id": "118382241"}, {"ref": "eyavazaiou/notebook8f78a76780", "kernel_id": "118307050"}, {"ref": "nikolasprokopakis/notebooka4dafe811a", "kernel_id": "118308430"}, {"ref": "trnhnguynhu/cs231-q23-distracted-driver", "kernel_id": "118284106"}, {"ref": "justavnesedude/baseline-improved", "kernel_id": "119352296"}, {"ref": "giannischaralampis/lec-9-ml-lab-7-transfer-learning-ml-mas-c2bf91", "kernel_id": "119306907"}, {"ref": "eyavazaiou/lec-9-ml-lab-7-transfer-learning-ml-master", "kernel_id": "119376942"}, {"ref": "eyavazaiou/evazaiou-22009", "kernel_id": "119380036"}, {"ref": "nikolasprokopakis/notebook4cac5e9420", "kernel_id": "119404793"}, {"ref": "nikiorfanou/ml-hw3-niki-orfanou", "kernel_id": "119052449"}, {"ref": "nikostavernarakis/lec-9-ml-lab-7-transfer-learning-ml-master", "kernel_id": "119302726"}, {"ref": "pypiahmad/state-farm-distracted-driver-detection-e2e", "kernel_id": "122727241"}, {"ref": "pypiahmad/state-farm-ddd-tutorial-learning", "kernel_id": "122735871"}, {"ref": "pypiahmad/state-farm-ddd-kaggle-submission", "kernel_id": "122735880"}, {"ref": "nikiorfanou/notebook220cd298bb", "kernel_id": "122906127"}, {"ref": "kandatiharshavardhan/driver-disttraction-detection-vision-transformer", "kernel_id": "123033685"}, {"ref": "thinhdeptraivocung/notebook44fafd5492", "kernel_id": "123695876"}, {"ref": "nikiorfanou/resnet18-transfer-learning-90-acc", "kernel_id": "123220323"}, {"ref": "nikiorfanou/notebook05391ede40", "kernel_id": "123161820"}, {"ref": "ismaelali88/driver-tashattut", "kernel_id": "124947061"}, {"ref": "hamedbehroozi/deepproject", "kernel_id": "126635250"}]}
{"competition_id": "5056", "kernels": [{"ref": "alexxanderlarko/dest-0306", "kernel_id": "68232"}, {"ref": "alexxanderlarko/sample-1", "kernel_id": "56467"}, {"ref": "benhamner/list-input-files-9", "kernel_id": "54247"}, {"ref": "benhamner/playground-14", "kernel_id": "54248"}, {"ref": "benhamner/notebook-86f67299e70e6d0be421", "kernel_id": "57844"}, {"ref": "konradb/ehr-1", "kernel_id": "62542"}, {"ref": "cgrinaldi/notebook-d31f4938d75fcb2a9a19", "kernel_id": "56789"}, {"ref": "emailhy/interactive-booking-trends", "kernel_id": "68570"}, {"ref": "datalev/notebook-83de55467bd49a2d5a45", "kernel_id": "64137"}, {"ref": "ccccat/combo-merge", "kernel_id": "56503"}, {"ref": "ccccat/r-version-of-most-popular-local-hotel", "kernel_id": "54633"}, {"ref": "ccccat/r-version-of-most-popular-local-hotel-v2", "kernel_id": "54639"}, {"ref": "mikekrupel/the-locations-puzzle", "kernel_id": "63471"}, {"ref": "oghmax/notebook-97ddadac3dcd46af0d1c", "kernel_id": "56659"}, {"ref": "zachmayer/mmys-3", "kernel_id": "68587"}, {"ref": "chipmonkey/channel-is-different-test-v-train", "kernel_id": "58735"}, {"ref": "mpekalski/notebook-73985152272d50c51e24", "kernel_id": "56454"}, {"ref": "mpekalski/test01", "kernel_id": "59529"}, {"ref": "mpekalski/notebook-6892fae8d894f5bbe16b", "kernel_id": "59531"}, {"ref": "mpekalski/notebook-d1de06e3ecc2d8ad9d60", "kernel_id": "59532"}, {"ref": "mpekalski/notebook-2a1a642713e35234f4e7", "kernel_id": "62475"}, {"ref": "mpekalski/notebook-46eb7ab3549a755e6362", "kernel_id": "62482"}, {"ref": "jeffstahler/notebook-d9cdce7c7d6856a54d18", "kernel_id": "56583"}, {"ref": "yagays/notebook-848e377a5a5bbcd1c43f", "kernel_id": "56676"}, {"ref": "nit254/notebook-f6ae07316a6672b5c7fa", "kernel_id": "60612"}, {"ref": "nit254/notebook-3809efdc978c242d09a6", "kernel_id": "60614"}, {"ref": "nit254/notebook-e4cb72cbc38867ba6077", "kernel_id": "60605"}, {"ref": "nit254/expedia-nitin", "kernel_id": "59087"}, {"ref": "gykovacs/second-test", "kernel_id": "55444"}, {"ref": "gaborfodor/latent-destination-features", "kernel_id": "60490"}, {"ref": "gaborfodor/last-week-xkcd", "kernel_id": "68970"}, {"ref": "gaborfodor/time-dimension", "kernel_id": "56381"}, {"ref": "josealberto/notebook-7f4b7deb07aaf0de5bd7", "kernel_id": "54558"}, {"ref": "josealberto/experiments", "kernel_id": "54780"}, {"ref": "josealberto/notebook-040452cb9cb3d73c012d", "kernel_id": "54776"}, {"ref": "josealberto/only-by-origin-destination-distance", "kernel_id": "56649"}, {"ref": "josealberto/destination-clusters", "kernel_id": "56466"}, {"ref": "josealberto/notebook-e571a553fe149504cc10", "kernel_id": "56712"}, {"ref": "josealberto/notebook-d14fd0507f0409fd0d59", "kernel_id": "56976"}, {"ref": "josealberto/children", "kernel_id": "56985"}, {"ref": "josealberto/notebook-8ca253645b41dcb7eb86", "kernel_id": "56986"}, {"ref": "josealberto/notebook-aa27490fdc10683ca592", "kernel_id": "58068"}, {"ref": "josealberto/notebook-5a73f0d4018156d83f1b", "kernel_id": "58072"}, {"ref": "josealberto/notebook-4ab17eb51edeac29d885", "kernel_id": "58075"}, {"ref": "josealberto/notebook-3ff41d9948c763331bc0", "kernel_id": "63137"}, {"ref": "josealberto/r-version-of-most-popular-local-hotel", "kernel_id": "63138"}, {"ref": "josealberto/notebook-3aa90a854419ad51e6e8", "kernel_id": "63142"}, {"ref": "josealberto/notebook-7c0b257eb7f72b035097", "kernel_id": "63109"}, {"ref": "josealberto/notebook-020544d9681274cd2138", "kernel_id": "63110"}, {"ref": "josealberto/notebook-d4f56c6ec3ed1341548b", "kernel_id": "63113"}, {"ref": "josealberto/notebook-2237e57061954f038c92", "kernel_id": "63389"}, {"ref": "josealberto/notebook-fcebcb77004e6bea6e29", "kernel_id": "63399"}, {"ref": "josealberto/notebook-25b140acda8bad700176", "kernel_id": "63403"}, {"ref": "josealberto/notebook-d10419a55a5b2c445d8a", "kernel_id": "62500"}, {"ref": "josealberto/notebook-c280eac0bf9ded478bb0", "kernel_id": "62496"}, {"ref": "josealberto/notebook-4421f30d2fbb835e0116", "kernel_id": "64141"}, {"ref": "josealberto/hdkasjdhf", "kernel_id": "61243"}, {"ref": "josealberto/notebook-db800bcbac86beb3f642", "kernel_id": "61232"}, {"ref": "josealberto/notebook-1be6d4a5ec31c7da644d", "kernel_id": "61233"}, {"ref": "josealberto/notebook-f8d984a2b22840ba2037", "kernel_id": "61234"}, {"ref": "gregschwartz/notebook-91acc485ee905d2aa179", "kernel_id": "55931"}, {"ref": "gregschwartz/notebook-1cc7042e06060f87bd2b", "kernel_id": "55932"}, {"ref": "odisseas/notebook-d92c9dc411598ab442c9", "kernel_id": "59340"}, {"ref": "edk217/leakage-solution", "kernel_id": "88824"}, {"ref": "edk217/notebookd3caa2a955", "kernel_id": "88825"}, {"ref": "fuurinkazan/notebook-4416ee351848b8509804", "kernel_id": "65334"}, {"ref": "weiwunyc/notebook-b28c741ea4f338a4932d", "kernel_id": "67422"}, {"ref": "sigma23/notebook-33b990969400936c9f5c", "kernel_id": "55364"}, {"ref": "fancyspeed/fork-leakage-solution", "kernel_id": "61392"}, {"ref": "fancyspeed/step-by-step", "kernel_id": "61084"}, {"ref": "fancyspeed/time2win3", "kernel_id": "56951"}, {"ref": "fancyspeed/notebook-447a0e0230ce50be9603", "kernel_id": "57745"}, {"ref": "fancyspeed/notebook-f5609a38c57a621678ad", "kernel_id": "56654"}, {"ref": "fancyspeed/notebook-6a6a54c95eba122fb8d8", "kernel_id": "56662"}, {"ref": "fancyspeed/time2win2", "kernel_id": "56670"}, {"ref": "fancyspeed/explore-data-v1", "kernel_id": "56306"}, {"ref": "duanlian/notebookc43f572680", "kernel_id": "91460"}, {"ref": "hillock/test-script", "kernel_id": "54293"}, {"ref": "wendykan/map-k-demo", "kernel_id": "55546"}, {"ref": "elteik/notebook-d29990cbc1bd21f9ce77", "kernel_id": "64885"}, {"ref": "vzoli56/try-xgboost", "kernel_id": "70568"}, {"ref": "stained/check", "kernel_id": "67214"}, {"ref": "yinsong/notebook-a4e6066d8eebbf0a2aef", "kernel_id": "59978"}, {"ref": "yinsong/notebook-ec7403798a35f12b22fd", "kernel_id": "60244"}, {"ref": "yinsong/notebook-83b69b2c969c128558fc", "kernel_id": "60248"}, {"ref": "thakurrajanand/r-version-of-most-popular-local-hotel-1", "kernel_id": "55411"}, {"ref": "thakurrajanand/r-version-of-most-popular-local-hotel", "kernel_id": "55408"}, {"ref": "lintseju/notebook-d448189c6f01aef7e0b2", "kernel_id": "65238"}, {"ref": "lintseju/baseline", "kernel_id": "55479"}, {"ref": "lintseju/notebook-5f1d60046d991638b4ca", "kernel_id": "55480"}, {"ref": "liamsch/explore-data-liam", "kernel_id": "60109"}, {"ref": "liamsch/notebook-fe156b1eaff5f481f2fe", "kernel_id": "60111"}, {"ref": "gmoney59/notebookcf346e991f", "kernel_id": "236325"}, {"ref": "gmoney59/notebooka3c2537cd4", "kernel_id": "236326"}, {"ref": "sumanlata/explore-data", "kernel_id": "66003"}, {"ref": "mandarup/predict-hotel-type-with-pandas", "kernel_id": "59852"}, {"ref": "huuunk/notebook-94564fd0843b8087ec3b", "kernel_id": "57814"}, {"ref": "wtwang/notebook-10208c9187a39b7cc78f", "kernel_id": "62257"}, {"ref": "kumareshd/trying-kaggle-notebook", "kernel_id": "60655"}, {"ref": "kumareshd/notebook-51ac02ac97fdae0a94ea", "kernel_id": "60061"}, {"ref": "kumareshd/notebook-54f450a6fccd1e151894", "kernel_id": "60062"}, {"ref": "kumareshd/list-input-files", "kernel_id": "54283"}, {"ref": "kumareshd/asdfasdf", "kernel_id": "54291"}, {"ref": "nehiljain/notebook-f993cd72c9dd412f42d0", "kernel_id": "67625"}, {"ref": "nehiljain/notebook-5365ec150ad99005315d", "kernel_id": "67626"}, {"ref": "nehiljain/notebook-124b2b345617d1196feb", "kernel_id": "67631"}, {"ref": "physiologoi/notebook-ce4267d75d11c90209b2", "kernel_id": "61950"}, {"ref": "ankitsdhingra/temp1", "kernel_id": "55217"}, {"ref": "bbsang/qqqqqq", "kernel_id": "54527"}, {"ref": "puikwan/explore-data-v1", "kernel_id": "55183"}, {"ref": "vykhand/notebook-4b5eb19e0b0c26b44347", "kernel_id": "60917"}, {"ref": "vykhand/untitled", "kernel_id": "61391"}, {"ref": "vykhand/simple-validation", "kernel_id": "62976"}, {"ref": "vykhand/test-bokeh", "kernel_id": "64639"}, {"ref": "vykhand/notebook-432890328ee8a9afdff7", "kernel_id": "64640"}, {"ref": "vykhand/notebook-9f3c274b68e108268f44", "kernel_id": "66425"}, {"ref": "vykhand/notebook-45dacf1978914554a2b4", "kernel_id": "66423"}, {"ref": "vykhand/notebook-75c6c2ae2a8df975bd2e", "kernel_id": "66628"}, {"ref": "vykhand/notebook-f0d83657536ae67e0175", "kernel_id": "66636"}, {"ref": "vykhand/notebook-9ff3da3614bec22de526", "kernel_id": "66541"}, {"ref": "vykhand/notebook-c7062902284b46467bb9", "kernel_id": "66573"}, {"ref": "tvinithkumar/notebook-01741cc8808aab4a18ca", "kernel_id": "65881"}, {"ref": "tvinithkumar/notebook-c1abff9351f5bbddecc4", "kernel_id": "65882"}, {"ref": "tvinithkumar/notebook-c7566f2781d38c3fbd31", "kernel_id": "65712"}, {"ref": "singhvivek/predict-hotel-type-with-pandas", "kernel_id": "59588"}, {"ref": "mohamedali/notebook-46657631b58e6255bd63", "kernel_id": "63964"}, {"ref": "mohamedali/trying-out-notebooks-on-kaggle", "kernel_id": "63475"}, {"ref": "mohamedali/notebook-3b7e89c2f8ac17b41c0d", "kernel_id": "63478"}, {"ref": "mohamedali/trying-kaggle-scripts", "kernel_id": "63480"}, {"ref": "j3ffreyjohn/notebookb98341c475", "kernel_id": "95015"}, {"ref": "prisrini/notebook-c011e1748a65c0be1f23", "kernel_id": "64631"}, {"ref": "prisrini/notebook-f8d401afc059cb059538", "kernel_id": "64489"}, {"ref": "staesthetics/notebook-edb4409722cf3aeb8db4", "kernel_id": "59213"}, {"ref": "staesthetics/predict-hotel-type-with-pandas", "kernel_id": "59161"}, {"ref": "gianlucar/notebook-d899b25d8c05dfcdbca3", "kernel_id": "54731"}, {"ref": "mandalsubhajit/notebook-999da696afc8427b27af", "kernel_id": "56906"}, {"ref": "mandalsubhajit/leakage-solution", "kernel_id": "60709"}, {"ref": "georgem/notebook-973710bf586225a2c8c7", "kernel_id": "63800"}, {"ref": "cpmpml/only-naive-bayes-with-countvectorizer", "kernel_id": "66553"}, {"ref": "cpmpml/ehr-1", "kernel_id": "63670"}, {"ref": "dumdum/notebook-90b0f4a886b3c7322b82", "kernel_id": "68019"}, {"ref": "ilaxes/explore-data", "kernel_id": "59927"}, {"ref": "ilaxes/notebook-a2c2ef0791075a70ba67", "kernel_id": "59928"}, {"ref": "andrewpatt24/notebook-5f9293194c84c3759624", "kernel_id": "59347"}, {"ref": "timleathart/predict-hotel-type-with-pandas", "kernel_id": "63872"}, {"ref": "samuelleach/notebook-a3098ab46106cd5b00f5", "kernel_id": "60151"}, {"ref": "company/hotel-country-1", "kernel_id": "61575"}, {"ref": "company/ehr-1", "kernel_id": "61991"}, {"ref": "company/leakage-solution-1", "kernel_id": "61341"}, {"ref": "company/leakage-solution", "kernel_id": "61345"}, {"ref": "company/length-x", "kernel_id": "60379"}, {"ref": "company/apr-23", "kernel_id": "59369"}, {"ref": "company/hotel-market", "kernel_id": "59370"}, {"ref": "company/popular-hotels", "kernel_id": "59381"}, {"ref": "company/expedia-hotel-rec-1-r", "kernel_id": "58279"}, {"ref": "company/expedia-hotel-rec-2-r", "kernel_id": "58287"}, {"ref": "dsoreo/data-exploration", "kernel_id": "56158"}, {"ref": "justmike/notebook-df4cc7a3a5f4cc85eeec", "kernel_id": "59458"}, {"ref": "chendongnz/notebook-5060c96a6455597ff686", "kernel_id": "54356"}, {"ref": "buptkang/bo-regression", "kernel_id": "61141"}, {"ref": "mrudula/channel-is-different-test-v-train", "kernel_id": "68448"}, {"ref": "chbrian/notebook-911cc6f9e836a2799b88", "kernel_id": "60857"}, {"ref": "upjohnc/notebook-831d672dd2cebc388462", "kernel_id": "65215"}, {"ref": "upjohnc/predict-hotel-type-with-pandas", "kernel_id": "65217"}, {"ref": "upjohnc/notebook-881be17c5ecc8b0c2d5d", "kernel_id": "65218"}, {"ref": "oselot/predict-hotel-type-with-pandas", "kernel_id": "60532"}, {"ref": "shendu/predict-hotel-type-with-pandas", "kernel_id": "57755"}, {"ref": "jgc31416/ehr-1", "kernel_id": "63741"}, {"ref": "jiweiliu/most-popular-local-hotels", "kernel_id": "54301"}, {"ref": "sekine/monpremier", "kernel_id": "54916"}, {"ref": "savioz/explore-expedia-search-data", "kernel_id": "63355"}, {"ref": "savioz/predict-hotel-type-with-pandas", "kernel_id": "63360"}, {"ref": "savioz/notebook-07c244ee403e38d378de", "kernel_id": "63365"}, {"ref": "sumitl/explore-expedia-search-data", "kernel_id": "59620"}, {"ref": "tarunrathor/analysis-of-data", "kernel_id": "65661"}, {"ref": "saikumarallaka/notebook-c75892018c57c7fe25ec", "kernel_id": "57727"}, {"ref": "hadigharibi/notebook-daeba9ef88432700c85f", "kernel_id": "55174"}, {"ref": "hadigharibi/notebook-073fef1754660a8cf9be", "kernel_id": "55164"}, {"ref": "hadigharibi/notebook-86346a4429b046e38419", "kernel_id": "55165"}, {"ref": "hadigharibi/notebook-bed9de0cd52e14ae519a", "kernel_id": "55166"}, {"ref": "hadigharibi/correlations-between-attributes", "kernel_id": "55167"}, {"ref": "hadigharibi/notebook-ffc436d99b6580355ea6", "kernel_id": "55170"}, {"ref": "pbmarcus/notebook-521e33904e5212248ea4", "kernel_id": "54315"}, {"ref": "miquelcm/submission-2-with-dayweek", "kernel_id": "68758"}, {"ref": "datenkieker/notebook-b202956c4a202ab6bcb7", "kernel_id": "54889"}, {"ref": "datenkieker/notebook-44fa0a7f6902ccaf6ccc", "kernel_id": "54890"}, {"ref": "datenkieker/notebook-d18190c34a0851b8e586", "kernel_id": "54877"}, {"ref": "datenkieker/notebook-88bdc0fa793cbe236817", "kernel_id": "54314"}, {"ref": "datenkieker/notebook-b61901ad6a8a1b1b9f44", "kernel_id": "54280"}, {"ref": "datenkieker/most-frequent-5-benchmark", "kernel_id": "54262"}, {"ref": "mlwhiz/notebook-67e6637bf3eece3d350d", "kernel_id": "59643"}, {"ref": "mlwhiz/asdadas", "kernel_id": "59645"}, {"ref": "mlwhiz/asdasdasdasdasd", "kernel_id": "59649"}, {"ref": "mlwhiz/notebook-3a75585203127e27eedc", "kernel_id": "60769"}, {"ref": "henshinger/incremental-pca", "kernel_id": "67504"}, {"ref": "henshinger/logistic-regression", "kernel_id": "67605"}, {"ref": "henshinger/notebook-c56142348b28d1c02ec7", "kernel_id": "67265"}, {"ref": "henshinger/notebook-a3ff8160445e896a508f", "kernel_id": "67266"}, {"ref": "henshinger/notebook-c335359fb756e2365367", "kernel_id": "67268"}, {"ref": "henshinger/notebook-c2a69d024cabeff273b3", "kernel_id": "67278"}, {"ref": "henshinger/notebook-0a6234a8e7a70a299e83", "kernel_id": "67279"}, {"ref": "henshinger/notebook-17e26ad651a2f3a0f7da", "kernel_id": "67280"}, {"ref": "henshinger/notebook-2458c26e2c47be2f09ac", "kernel_id": "67283"}, {"ref": "henshinger/notebook-cff65a2c04ed56d3ee14", "kernel_id": "67285"}, {"ref": "henshinger/test-v1", "kernel_id": "67317"}, {"ref": "danofer/sample-text", "kernel_id": "58310"}, {"ref": "pitodogo/notebook-e82ef76fa771ac5d9d44", "kernel_id": "56094"}, {"ref": "ashishtrehan/dask-script", "kernel_id": "55601"}, {"ref": "ashishtrehan/notebook-e2eb7202ab2440e3bd97", "kernel_id": "55606"}, {"ref": "ashishtrehan/notebook-9c3b986a1186e39bee5c", "kernel_id": "55682"}, {"ref": "ashishtrehan/notebook-2e1caa01b32f14212f7c", "kernel_id": "55687"}, {"ref": "dimitrislev/apr-23", "kernel_id": "56873"}, {"ref": "dimitrislev/simple-validation", "kernel_id": "63183"}, {"ref": "dimitrislev/predict-hotel-type-with-pandas", "kernel_id": "60077"}, {"ref": "dimitrislev/test-v1", "kernel_id": "67768"}, {"ref": "triskelion/most-popular-local-hotels", "kernel_id": "54331"}, {"ref": "triskelion/user-favs", "kernel_id": "54313"}, {"ref": "philculliton/dataquest-tutorial", "kernel_id": "60542"}, {"ref": "azacharia/leakage-solution", "kernel_id": "93571"}, {"ref": "gshubham/notebook-6f8867634b15c3d1e260", "kernel_id": "54323"}, {"ref": "ebsubudhi/first-code", "kernel_id": "56111"}, {"ref": "debpriyaseal/notebook-2f0c36bd4cf25ac324ec", "kernel_id": "54659"}, {"ref": "keybattle/notebook-e940f9043e2973c455cd", "kernel_id": "62950"}, {"ref": "children/predict-hotel-type-with-pandas", "kernel_id": "61503"}, {"ref": "cherryman/latent-data", "kernel_id": "64657"}, {"ref": "raghavendra018/notebook-8bb858d66307cb3c91a6", "kernel_id": "68173"}, {"ref": "raghavendra018/notebook-064f52fb42c2994989cc", "kernel_id": "68166"}, {"ref": "raghavendra018/notebook-125b541f70d0cade3010", "kernel_id": "68151"}, {"ref": "raghavendra018/notebook-bba5e872c4de56365f3c", "kernel_id": "68155"}, {"ref": "hjerbi/explore-data", "kernel_id": "57841"}, {"ref": "briantcs/notebook-a7d93d7504ccccb37607", "kernel_id": "64880"}, {"ref": "mpjdem/map-k-demo", "kernel_id": "55966"}, {"ref": "mpjdem/notebook-7f95edbfd367b5b55146", "kernel_id": "55967"}, {"ref": "akashsingh/notebook-cad07aa243b1a271dbf4", "kernel_id": "54777"}, {"ref": "nktaushanov/notebook-8dc0dae379c325c75794", "kernel_id": "59345"}, {"ref": "phunghx/expedia-data-exploration", "kernel_id": "57122"}, {"ref": "prateekgaur/notebook-53c50d94c9c925f88440", "kernel_id": "63766"}, {"ref": "prateekgaur/notebook-135d1b350f94f1385451", "kernel_id": "63820"}, {"ref": "prateekgaur/notebook-f631b6347d771e305cff", "kernel_id": "63821"}, {"ref": "jwegas/xgb-test", "kernel_id": "55839"}, {"ref": "jwegas/randomforest-test-20160418", "kernel_id": "54995"}, {"ref": "jwegas/most-popular-local-hotels", "kernel_id": "55019"}, {"ref": "jwegas/similar-hotels", "kernel_id": "55022"}, {"ref": "jwegas/data-explore", "kernel_id": "54417"}, {"ref": "nekopandaminer/notebook-afcd971287b22c20b267", "kernel_id": "55409"}, {"ref": "yifanxie/interactive-booking-trends", "kernel_id": "67288"}, {"ref": "outliar/predict-hotel-type-with-pandas", "kernel_id": "59997"}, {"ref": "outliar/notebook-dd1c298029adca12aaec", "kernel_id": "60020"}, {"ref": "outliar/ehr-1", "kernel_id": "62136"}, {"ref": "outliar/vrsse2", "kernel_id": "61867"}, {"ref": "outliar/hotel-country", "kernel_id": "61492"}, {"ref": "outliar/test1-on", "kernel_id": "61610"}, {"ref": "outliar/leakage-solution-1", "kernel_id": "61473"}, {"ref": "outliar/leakage-solution", "kernel_id": "61228"}, {"ref": "outliar/hhhjjhhh", "kernel_id": "63973"}, {"ref": "outliar/essss", "kernel_id": "63515"}, {"ref": "outliar/experiments", "kernel_id": "63200"}, {"ref": "outliar/experimentswithtruth", "kernel_id": "63203"}, {"ref": "outliar/ehr-e", "kernel_id": "63280"}, {"ref": "outliar/casasasa", "kernel_id": "63236"}, {"ref": "brandenkmurray/valium-1", "kernel_id": "65500"}, {"ref": "gopalsharma2001/just-try", "kernel_id": "69712"}, {"ref": "gopalsharma2001/firstrun", "kernel_id": "68875"}, {"ref": "gopalsharma2001/testrun1", "kernel_id": "69166"}, {"ref": "lalith21/notebook-66e32dd4b1cb5dee39ae", "kernel_id": "60965"}, {"ref": "silverbullet007/notebook-20f94f1ac0a8a514dd1d", "kernel_id": "58545"}, {"ref": "maneesh5/predict-hotel-type-with-pandas", "kernel_id": "129314"}, {"ref": "jacobcho/notebook-8fbc74358e74cc421c7c", "kernel_id": "68992"}, {"ref": "dimafd/notebook-e9a8b2c4550371f277a1", "kernel_id": "62402"}, {"ref": "dimafd/predict-hotel-type-with-pandas", "kernel_id": "62378"}, {"ref": "nanr1987/exp1-2", "kernel_id": "57654"}, {"ref": "nanr1987/exp1-1", "kernel_id": "57624"}, {"ref": "nanr1987/fork-explore-data-nanr", "kernel_id": "57658"}, {"ref": "nanr1987/notebook-29c488cb2a547380e022", "kernel_id": "57659"}, {"ref": "venugopalmalli/expedia1st", "kernel_id": "55906"}, {"ref": "betterplace/notebook-4c20747a30393cb8ea83", "kernel_id": "71659"}, {"ref": "mohdatir/testh", "kernel_id": "64618"}, {"ref": "mohdatir/my-first", "kernel_id": "64048"}, {"ref": "mohdatir/expedia", "kernel_id": "62029"}, {"ref": "mas313/mmys-3", "kernel_id": "69756"}, {"ref": "gakempf/notebook-28305c7cca863e2f3d75", "kernel_id": "54409"}, {"ref": "potterxu/explore-data", "kernel_id": "54360"}, {"ref": "shiaukuan/notebook-d484fe7ea86ed8e7aa01", "kernel_id": "69805"}, {"ref": "shiaukuan/notebook-7d3a187a7f177e76d8e8", "kernel_id": "69806"}, {"ref": "jaycb26/orig-lalala1", "kernel_id": "56586"}, {"ref": "eawharton/notebook-56cc49509f33999cfd84", "kernel_id": "61853"}, {"ref": "dondrummond/notebook-0214d794d73d7a782d69", "kernel_id": "54957"}, {"ref": "rahulhp/3-1-just-booking", "kernel_id": "68064"}, {"ref": "siyazhang/notebook-ec5fe41d5e26ed837e03", "kernel_id": "63794"}, {"ref": "siyazhang/notebook-f551f9872b47b685c7e7", "kernel_id": "64053"}, {"ref": "siyazhang/notebook-0f0dc3e9dfe84cfebd64", "kernel_id": "64054"}, {"ref": "niklosb/notebook-949d4c2fd00cd375d297", "kernel_id": "54404"}, {"ref": "niklosb/notebook-8cdd0b9dcd130a2f20cd", "kernel_id": "54631"}, {"ref": "niklosb/notebook-edf4f35d4456302d423c", "kernel_id": "54632"}, {"ref": "niklosb/notebook-eb6d14e8f162cf178d25", "kernel_id": "54636"}, {"ref": "niklosb/notebook-3f93d0cebe60164c6675", "kernel_id": "54637"}, {"ref": "niklosb/top-search-destinations", "kernel_id": "54638"}, {"ref": "aikinogard/explore-data", "kernel_id": "58945"}, {"ref": "aikinogard/notebook-8e09fe821c2296bb7ce0", "kernel_id": "58947"}, {"ref": "aikinogard/map-k-demo", "kernel_id": "58635"}, {"ref": "zscansorted/notebook91b84eec3c", "kernel_id": "138725"}, {"ref": "webvillage/notebook-7b4e16652cf872f31c64", "kernel_id": "66380"}, {"ref": "citrinitas/notebook-29e41832e1b46f0e4f14", "kernel_id": "61346"}, {"ref": "citrinitas/leakage-solution", "kernel_id": "61347"}, {"ref": "citrinitas/leakage-test0", "kernel_id": "61350"}, {"ref": "bozhkov/notebook-09d14b68f8eff0967283", "kernel_id": "54738"}, {"ref": "bozhkov/test123", "kernel_id": "57651"}, {"ref": "pappukrjha/expedia-data-understanding", "kernel_id": "55098"}, {"ref": "yukatherin/naive-bayes-with-countvectorizer", "kernel_id": "65574"}, {"ref": "mithunghosh/notebook-6a66bb059acc53b96a97", "kernel_id": "55220"}, {"ref": "amitchoudhary/finalcheck-1", "kernel_id": "69396"}, {"ref": "amitchoudhary/mmys-3", "kernel_id": "68335"}, {"ref": "adarshchavakula/notebook-114f1583f65be1ba6d4c", "kernel_id": "61286"}, {"ref": "mikezawitkowski/predict-hotel-type-with-pandas", "kernel_id": "68380"}, {"ref": "mikezawitkowski/notebook-eb88311e915ccfb6dede", "kernel_id": "68821"}, {"ref": "mikezawitkowski/notebook-ecf4b0278ac3715a3847", "kernel_id": "68822"}, {"ref": "mikezawitkowski/notebook-01b2a61175cfd958cc59", "kernel_id": "68823"}, {"ref": "bobbytexas/top-five-local-hotels-r", "kernel_id": "55327"}, {"ref": "lspinheiro2/explore-data", "kernel_id": "55690"}, {"ref": "giserxi/interactive-booking-trends", "kernel_id": "70450"}, {"ref": "giserxi/the-locations-puzzle", "kernel_id": "70452"}, {"ref": "giserxi/notebook-04d10e0e9dbe596f6659", "kernel_id": "70453"}, {"ref": "giserxi/notebook-b17a3c960fb4f2178897", "kernel_id": "70454"}, {"ref": "giserxi/notebook-5992dfa5d0606cedf262", "kernel_id": "70455"}, {"ref": "giserxi/notebook-f5bc6558e25d94941323", "kernel_id": "70456"}, {"ref": "oinkoink/notebook-1c98c61a7b6b4f0f6e59", "kernel_id": "62227"}, {"ref": "frankmassi/notebook-1e0df40117a43ed6925e", "kernel_id": "66102"}, {"ref": "frankmassi/notebook-ccec8ebcde6a8c9d4067", "kernel_id": "66104"}, {"ref": "zheng11/leakage-solution", "kernel_id": "67898"}, {"ref": "dixitgaurav/leakage-solution", "kernel_id": "61073"}, {"ref": "dixitgaurav/notebook-3a4934a35d070a47b9bf", "kernel_id": "59932"}, {"ref": "dixitgaurav/notebook-2499d1c2978a238bbe14", "kernel_id": "59933"}, {"ref": "dixitgaurav/notebook-620bd7646aaad0efe4cb", "kernel_id": "59956"}, {"ref": "janardhanpshetty/notebook-d1bdd9fdc726ebb03563", "kernel_id": "71992"}, {"ref": "michaelpawlus/vrsse2", "kernel_id": "61920"}, {"ref": "robingauba/notebook-9999b70b090aab6d486b", "kernel_id": "68620"}, {"ref": "cavaunpeu/notebookdfc83b56af", "kernel_id": "111673"}, {"ref": "sivajid/prog1", "kernel_id": "55856"}, {"ref": "nixideguoke/notebook-92de1ebf217e3b1459b5", "kernel_id": "67349"}, {"ref": "nixideguoke/expedia1", "kernel_id": "67350"}, {"ref": "ankitccuser/notebook-e01fe6341d6d87769db6", "kernel_id": "55157"}, {"ref": "ankitccuser/notebook-d84e477555c7fd7d347b", "kernel_id": "55159"}, {"ref": "ankitccuser/explore", "kernel_id": "55162"}, {"ref": "tvural/notebook-be8ddc2bde8955321eb0", "kernel_id": "65151"}, {"ref": "ahmedg/notebook-8436fa4164e6f6865d6b", "kernel_id": "61512"}, {"ref": "ahmedg/notebook-6513e6d9b6e9b92e36f1", "kernel_id": "61333"}, {"ref": "ahmedg/notebook-36897f1b50456f23d6bb", "kernel_id": "61337"}, {"ref": "ahmedg/notebook-45836e2a22337cdccc7b", "kernel_id": "61330"}, {"ref": "divyanshusuri/valium-1111", "kernel_id": "66283"}, {"ref": "yuqingxue/1000-15", "kernel_id": "60844"}, {"ref": "yuqingxue/notebook-2cacc4c7db1185c1dea2", "kernel_id": "60166"}, {"ref": "yuqingxue/apr-232", "kernel_id": "60136"}, {"ref": "yuqingxue/apr-23", "kernel_id": "59802"}, {"ref": "yuqingxue/notebook-04cc9324b62e694e34b5", "kernel_id": "59826"}, {"ref": "yuqingxue/yuqingexpedia", "kernel_id": "59828"}, {"ref": "yuqingxue/notebook-33f8b96faabe23f14a21", "kernel_id": "58773"}, {"ref": "yuqingxue/expedia", "kernel_id": "58774"}, {"ref": "yuqingxue/predict-hotel-type-with-pandas", "kernel_id": "58381"}, {"ref": "bryantravissmith/notebook-245cda8388bfd2d0535c", "kernel_id": "60541"}, {"ref": "etherqua/notebook-695284e710fa0d575e41", "kernel_id": "58149"}, {"ref": "chandrs/predict-hotel-type-with-pandas", "kernel_id": "68572"}, {"ref": "chandrs/notebook-fffb1034e704cba268ff", "kernel_id": "68765"}, {"ref": "alielhassouni/notebook-f6361447730d4cbca83f", "kernel_id": "63476"}, {"ref": "raviippili/expedia-try-1", "kernel_id": "70334"}, {"ref": "raviippili/irina", "kernel_id": "70637"}, {"ref": "raviippili/notebook-e08ed918ebafca10cb49", "kernel_id": "70639"}, {"ref": "raviippili/notebook-32d71c8e135c2a7417e5", "kernel_id": "70640"}, {"ref": "ksjpswaroop/notebook-d6620213c2caa2c7cb71", "kernel_id": "55557"}, {"ref": "ksjpswaroop/notebook-01046aea733493ef7737", "kernel_id": "55561"}, {"ref": "lndgrn/create-cross-validation-dataset", "kernel_id": "60959"}, {"ref": "kykseven/notebook-330b10abe39a1bc8c7ab", "kernel_id": "67459"}, {"ref": "wrudebusch/notebook-5ba1412c7e4280e1f7c3", "kernel_id": "58764"}, {"ref": "wrudebusch/notebook-c0bdf6b3f994e40ffb62", "kernel_id": "58765"}, {"ref": "wrudebusch/popular-hotels", "kernel_id": "58767"}, {"ref": "penguinana/testcode", "kernel_id": "60547"}, {"ref": "penguinana/notebook-8d3c473402836c48c360", "kernel_id": "60549"}, {"ref": "ddrbcn/notebook-d5ba82f8dadd1f361649", "kernel_id": "60488"}, {"ref": "yosuke/predict-hotel-type-with-pandas", "kernel_id": "61033"}, {"ref": "alicesadventures/test-may21", "kernel_id": "65316"}, {"ref": "michaeltoth1/r-version-of-most-popular-local-hotel", "kernel_id": "55977"}, {"ref": "gautamsihag/withallattemp2", "kernel_id": "62868"}, {"ref": "gautamsihag/pred1-2", "kernel_id": "62385"}, {"ref": "gautamsihag/pred1-3", "kernel_id": "62387"}, {"ref": "gautamsihag/notebook-6287d6e8356836ba724d", "kernel_id": "62414"}, {"ref": "gautamsihag/notebook-57fbf7b6d819ee3be762", "kernel_id": "62415"}, {"ref": "gautamsihag/notebook-fd94593ed24208a3cc7b", "kernel_id": "62407"}, {"ref": "gautamsihag/notebook-5783161a9883133367a5", "kernel_id": "62408"}, {"ref": "gautamsihag/notebook-6df1da729adb7f245fd5", "kernel_id": "62409"}, {"ref": "gautamsihag/leakage-solution-gsd", "kernel_id": "62410"}, {"ref": "gautamsihag/predictionwithsvms", "kernel_id": "62431"}, {"ref": "gautamsihag/notebook-c9208517c54c68d60b4c", "kernel_id": "62366"}, {"ref": "gautamsihag/predictions1", "kernel_id": "62279"}, {"ref": "gautamsihag/withallatempt1", "kernel_id": "62610"}, {"ref": "gautamsihag/plainattemptwithnn", "kernel_id": "62513"}, {"ref": "gautamsihag/nnattempt1", "kernel_id": "63543"}, {"ref": "gautamsihag/notebook-43f5e6c6367ac910f1d9", "kernel_id": "63544"}, {"ref": "gautamsihag/withnnatt1", "kernel_id": "63549"}, {"ref": "gautamsihag/notebook-8cdf8cb5095a7a0aae96", "kernel_id": "63862"}, {"ref": "gautamsihag/withallattempt1-1", "kernel_id": "63459"}, {"ref": "gautamsihag/withallattempt2-1", "kernel_id": "63460"}, {"ref": "gautamsihag/atrt1123", "kernel_id": "61432"}, {"ref": "gautamsihag/notebook-8165e63e7d3085cfc2c7", "kernel_id": "61439"}, {"ref": "gautamsihag/dataprep1", "kernel_id": "61461"}, {"ref": "gautamsihag/notebook-e6d566b153e04174f1ee", "kernel_id": "61401"}, {"ref": "gautamsihag/notebook-c9b6a381559376a1b689", "kernel_id": "61410"}, {"ref": "gautamsihag/att11", "kernel_id": "61361"}, {"ref": "gautamsihag/att123", "kernel_id": "61363"}, {"ref": "gautamsihag/notebook-a1cbfd316f5d1d4245bf", "kernel_id": "61339"}, {"ref": "gautamsihag/notebook-6c4bf3cae465a2c82a4f", "kernel_id": "61340"}, {"ref": "gautamsihag/notebook-28b6053b9d01b04b0ccf", "kernel_id": "61326"}, {"ref": "gautamsihag/notebook-210b0d11ec31c7ac18bd", "kernel_id": "61322"}, {"ref": "gautamsihag/notebook-fae19bc7128fedf28e33", "kernel_id": "61208"}, {"ref": "gautamsihag/notebook-cc6be15a7cc110b0339b", "kernel_id": "61191"}, {"ref": "gautamsihag/notebook-4d2082e3391fbde82ed0", "kernel_id": "61086"}, {"ref": "gautamsihag/notebook-f6d70bb8f3111bfc59cc", "kernel_id": "61088"}, {"ref": "gautamsihag/notebook-a9bfce3fa9639ccdbc03", "kernel_id": "61089"}, {"ref": "gautamsihag/destination-exploration1", "kernel_id": "61090"}, {"ref": "gautamsihag/notebook-9b2a80fadec15be6a11d", "kernel_id": "61128"}, {"ref": "gautamsihag/more-data-exploration", "kernel_id": "61131"}, {"ref": "gautamsihag/date-1", "kernel_id": "60963"}, {"ref": "gautamsihag/notebook-eaf5470e24d1468a4d9f", "kernel_id": "60982"}, {"ref": "gautamsihag/notebook-a8bc81c2dadc25979209", "kernel_id": "60907"}, {"ref": "gautamsihag/minibatchkmeans", "kernel_id": "60915"}, {"ref": "gautamsihag/nameit1", "kernel_id": "60671"}, {"ref": "gautamsihag/notebook-1f117f3034b5d3bf437b", "kernel_id": "60674"}, {"ref": "gautamsihag/notebook-6819c82ec7e2e671fe80", "kernel_id": "60622"}, {"ref": "gautamsihag/notebook-abb6cf4249016fee875a", "kernel_id": "60623"}, {"ref": "gautamsihag/notebook-19ee8e77206623c13dde", "kernel_id": "60616"}, {"ref": "gautamsihag/notebook-e019e638139b938e0af0", "kernel_id": "60634"}, {"ref": "gautamsihag/notebook-9c6db8c95926cf67453e", "kernel_id": "60635"}, {"ref": "gautamsihag/notebook-60c8db1a51bcaf9e0f2c", "kernel_id": "61483"}, {"ref": "gautamsihag/another1", "kernel_id": "61597"}, {"ref": "gautamsihag/notebook-1e72e31ba22d7ccbc694", "kernel_id": "61609"}, {"ref": "gautamsihag/package-searchspan", "kernel_id": "61862"}, {"ref": "gautamsihag/plots-data-exploration", "kernel_id": "61848"}, {"ref": "gautamsihag/package-searchspan-1", "kernel_id": "61868"}, {"ref": "gautamsihag/plots32", "kernel_id": "61994"}, {"ref": "gautamsihag/plot33", "kernel_id": "62020"}, {"ref": "gautamsihag/notebook-79ec08651545137d62b6", "kernel_id": "61907"}, {"ref": "gautamsihag/notebook-c075ffb4be316b1e7011", "kernel_id": "61908"}, {"ref": "gautamsihag/notebook-32f64e87e0c950d00aa8", "kernel_id": "61937"}, {"ref": "gautamsihag/notebook-f8bc5036c78b2068ad13", "kernel_id": "61934"}, {"ref": "gautamsihag/notebook-666b20be334fd29afbc0", "kernel_id": "61948"}, {"ref": "gautamsihag/bookigsandmobile", "kernel_id": "61975"}, {"ref": "gautamsihag/bookigswithmobile", "kernel_id": "61966"}, {"ref": "gautamsihag/notebook-cfbd2b9a32d48ee5549c", "kernel_id": "61973"}, {"ref": "gautamsihag/packagevsbookings", "kernel_id": "61980"}, {"ref": "gautamsihag/columnextractionwithlda", "kernel_id": "62150"}, {"ref": "gautamsihag/notebook-e3d2764a3c0fc6f5a642", "kernel_id": "60420"}, {"ref": "gautamsihag/notebook-d217c5f3f42b3c76815a", "kernel_id": "60395"}, {"ref": "gautamsihag/notebook-82d51e8543c50930626b", "kernel_id": "60569"}, {"ref": "gautamsihag/notebook-afcb8d71d4f4a08f5d3d", "kernel_id": "60243"}, {"ref": "gautamsihag/notebook-72548367bc10c5f324aa", "kernel_id": "60235"}, {"ref": "gautamsihag/notebook-d79c6e032c866b883ae7", "kernel_id": "60207"}, {"ref": "gautamsihag/notebook-1b6b0bcdb1f5cc001783", "kernel_id": "60208"}, {"ref": "gautamsihag/notebook-1d9e42aecf942d029da6", "kernel_id": "60225"}, {"ref": "gautamsihag/notebook-3c8dcea26da4e74f4691", "kernel_id": "60226"}, {"ref": "gautamsihag/notebook-c5939112c853e026529b", "kernel_id": "60313"}, {"ref": "gautamsihag/notebook-cf32cc0d4156f4abb830", "kernel_id": "60407"}, {"ref": "gautamsihag/notebook-0f91f23995c221a7e88d", "kernel_id": "60397"}, {"ref": "gautamsihag/notebook-3a6f5bfcc9de26012846", "kernel_id": "60398"}, {"ref": "gautamsihag/hotel2", "kernel_id": "60402"}, {"ref": "gautamsihag/child-rooms-adults1", "kernel_id": "60414"}, {"ref": "gautamsihag/notebook-feafbe5af72a8f14f21c", "kernel_id": "60386"}, {"ref": "gautamsihag/notebook-f10058b0a887e6cff244", "kernel_id": "60391"}, {"ref": "gautamsihag/hotel1", "kernel_id": "60392"}, {"ref": "gautamsihag/predict-hotel-type-with-pandas", "kernel_id": "60185"}, {"ref": "gautamsihag/notebook-81f9e46143133683a4f0", "kernel_id": "60186"}, {"ref": "gautamsihag/notebook-6c8eec3fa95da4206b62", "kernel_id": "60187"}, {"ref": "gautamsihag/notebook-615b98597dc8032b65ae", "kernel_id": "60194"}, {"ref": "gautamsihag/hotel", "kernel_id": "60195"}, {"ref": "anujatri/notebook-6ac68aa11788994513f5", "kernel_id": "67390"}, {"ref": "anujatri/abcaja", "kernel_id": "68462"}, {"ref": "anujatri/data-expedia-test", "kernel_id": "68465"}, {"ref": "dvasyukova/predict-hotel-type-with-pandas", "kernel_id": "57202"}, {"ref": "dvasyukova/the-locations-puzzle", "kernel_id": "63146"}, {"ref": "litmanovitziv/notebook-af2b511ff0c1d23350c7", "kernel_id": "54502"}, {"ref": "sharmakushagra/notebook-54e6b6d061b9dc7dc964", "kernel_id": "67331"}, {"ref": "sharmakushagra/test-notebook", "kernel_id": "67844"}, {"ref": "user123/notebook-1c988c59bff69491b147", "kernel_id": "60591"}, {"ref": "gspmoreira/notebook-d660047432e963466be6", "kernel_id": "60675"}, {"ref": "melvincheung/notebook-9b42c3a5301c8b4e772c", "kernel_id": "65110"}, {"ref": "melvincheung/notebook-27e11d512687bae978a7", "kernel_id": "65108"}, {"ref": "praveen24kumar/notebook-addb7b933cbf9036ad33", "kernel_id": "61771"}, {"ref": "praveen24kumar/predict-hotel-type-with-pandas", "kernel_id": "60527"}, {"ref": "cthorey/notebook-8d1c4e6c8774cd779a6a", "kernel_id": "58314"}, {"ref": "manasrkar/test01", "kernel_id": "59607"}, {"ref": "bguberfain/ehr-1-with-comments", "kernel_id": "63723"}, {"ref": "bguberfain/explore-leaky-columns", "kernel_id": "57256"}, {"ref": "burakozen/notebook-161837768c4fb2b8f062", "kernel_id": "63168"}, {"ref": "rajarsheem/notebook-03ffd8ab1d1b02645244", "kernel_id": "61486"}, {"ref": "rajarsheem/notebook-c7df8829fb57d050bdd0", "kernel_id": "61490"}, {"ref": "rajarsheem/notebook-5782a055792f219ecff2", "kernel_id": "61494"}, {"ref": "rajarsheem/notebook-3b4e49a2d3a542a0d8e3", "kernel_id": "61496"}, {"ref": "walkingpendulum/notebook-dcde7784023f034aa71b", "kernel_id": "60888"}, {"ref": "walkingpendulum/notebook-7dedc6066f717a3340bf", "kernel_id": "60889"}, {"ref": "gavvy10/expedia-recommendation", "kernel_id": "160020"}, {"ref": "arnocandel/valium-2", "kernel_id": "69320"}, {"ref": "sdanish/test-v1", "kernel_id": "67959"}, {"ref": "aelmgren/notebook-5d2aa8987168d45c66e7", "kernel_id": "63795"}, {"ref": "celniker/predict-hotel-type-with-pandas", "kernel_id": "61024"}, {"ref": "celniker/notebook-3293a7888438b24c32c8", "kernel_id": "67254"}, {"ref": "tagarin/test1", "kernel_id": "55028"}, {"ref": "tagarin/notebook-551d7d03cd7d36e92983", "kernel_id": "55029"}, {"ref": "farahfaize/notebook-a6a7f38b886e27fdc594", "kernel_id": "60456"}, {"ref": "scirpus/data-leak-script-for-low-memory-6gb", "kernel_id": "63097"}, {"ref": "uncutjade/predict-hotel-type-with-pandas", "kernel_id": "59075"}, {"ref": "uncutjade/notebook-fcfb5ce31f96d29ce30b", "kernel_id": "59076"}, {"ref": "slanidrak/notebook-47fb82ec196f2f74d4f2", "kernel_id": "54471"}, {"ref": "mezoistvan/notebook-c82d1de75280b2db3532", "kernel_id": "57267"}, {"ref": "mezoistvan/notebook-2e50013a5aad4cc2fd4a", "kernel_id": "57268"}, {"ref": "mezoistvan/sample-text", "kernel_id": "57240"}, {"ref": "mezoistvan/notebook-290f61de1cb50f62703d", "kernel_id": "57281"}, {"ref": "mezoistvan/notebook-e224b22f04bc287e506e", "kernel_id": "59784"}, {"ref": "hulkbulk/randomforest-test-20160418", "kernel_id": "55748"}, {"ref": "hulkbulk/explore-data", "kernel_id": "54582"}, {"ref": "hulkbulk/explore-data-v1", "kernel_id": "54586"}, {"ref": "chaz2505/notebook-258d8d3fc80c5621da37", "kernel_id": "54590"}, {"ref": "skylord/notebook-8c2005ebb9fb5374a5a8", "kernel_id": "63077"}, {"ref": "skylord/notebook-55eb11aced52ea2fcfd6", "kernel_id": "63067"}, {"ref": "skylord/notebook-be3402f22259ff72db56", "kernel_id": "63057"}, {"ref": "skylord/v1-datacheck", "kernel_id": "63058"}, {"ref": "skylord/notebook-ba34c3bf261f7e34dfad", "kernel_id": "63368"}, {"ref": "skylord/notebook-39990d5589abd3a0a937", "kernel_id": "63112"}, {"ref": "skylord/notebook-78bafacca8fbff0a84a0", "kernel_id": "63162"}, {"ref": "skylord/notebook-174d7a3d68c91150f549", "kernel_id": "61051"}, {"ref": "skylord/notebook-d26a9f782fc0244d8b59", "kernel_id": "61065"}, {"ref": "skylord/notebook-9687b5b413428bc22b08", "kernel_id": "61071"}, {"ref": "berwin/notebooke19a4626e1", "kernel_id": "129356"}, {"ref": "berwin/abcdaaa", "kernel_id": "129361"}, {"ref": "berwin/notebook4419ae2812", "kernel_id": "120567"}, {"ref": "radek1st/the-locations-puzzle", "kernel_id": "67678"}, {"ref": "radek1st/interactive-booking-trends", "kernel_id": "66819"}, {"ref": "hitzzc/expedia-search-results-include-datafile", "kernel_id": "57630"}, {"ref": "renjithmadhavan/expedia-renjith", "kernel_id": "69306"}, {"ref": "whjung/notebook-56c393aa8f85f1d6d2bd", "kernel_id": "68226"}, {"ref": "lperozzi/notebook-99be1d97a8937520d123", "kernel_id": "58051"}, {"ref": "khaoticmind/leakage-solution", "kernel_id": "60799"}, {"ref": "andirey/predict-hotel-type-with-pandas", "kernel_id": "69583"}, {"ref": "maddula/notebook-c9a5085d29e9556df959", "kernel_id": "69038"}, {"ref": "alexstrat/exploration", "kernel_id": "56159"}, {"ref": "alexstrat/notebook-70c8c3987b832d38ed33", "kernel_id": "56160"}, {"ref": "berradatarik/explore-data", "kernel_id": "55503"}, {"ref": "berradatarik/notebook-da42ef1bce1c91fa7911", "kernel_id": "56101"}, {"ref": "gongyunqing/notebook-229f1c2494abfe91edfd", "kernel_id": "57505"}, {"ref": "ryutek/the-locations-puzzle", "kernel_id": "63231"}, {"ref": "ryutek/notebook-93bf428a5e92a8e2b3fe", "kernel_id": "63234"}, {"ref": "ryutek/notebook-37d23e4685f959d523b7", "kernel_id": "68615"}, {"ref": "ryutek/notebook-4f6bea7c384b6c2eafd3", "kernel_id": "69303"}, {"ref": "arseni/divideconquervariables", "kernel_id": "58611"}, {"ref": "miaoer/predict-hotel-type-with-pandas", "kernel_id": "66820"}, {"ref": "marcusos/notebook-bd8a3f4ba2f225ca8dc0", "kernel_id": "63822"}, {"ref": "sebda1/test-mahdi", "kernel_id": "67587"}, {"ref": "santanuds/notebook-c02ebf218b13d3fb6c49", "kernel_id": "61727"}, {"ref": "santanuds/notebook-e0db2fdcd4c69eeff155", "kernel_id": "61317"}, {"ref": "deepakravi/notebook-b26220085e86b8e6a3f4", "kernel_id": "64430"}, {"ref": "deepakravi/notebook-087ff86c6f3bed348095", "kernel_id": "57372"}, {"ref": "deepakravi/predict-hotel-type-with-pandas", "kernel_id": "57705"}, {"ref": "onepau/predict-hotel-type-with-pandas", "kernel_id": "61092"}, {"ref": "onepau/notebook-cbcf69385f59e6522242", "kernel_id": "61096"}, {"ref": "kubah2111/explore-data", "kernel_id": "58079"}, {"ref": "actusz/leakage-solution", "kernel_id": "77850"}, {"ref": "justfor/latent-destination-features", "kernel_id": "66419"}, {"ref": "justfor/mountleelgb", "kernel_id": "68069"}, {"ref": "justfor/mountleelgb2", "kernel_id": "68177"}, {"ref": "justfor/ehr-2", "kernel_id": "62767"}, {"ref": "guillaumeph/predict-hotel-type-with-pandas", "kernel_id": "60663"}, {"ref": "xiangyang/notebook-fe9d2c516da236ebf300", "kernel_id": "71114"}, {"ref": "xiangyang/dd-expedia", "kernel_id": "71031"}, {"ref": "abhayizm/explore-data", "kernel_id": "95186"}, {"ref": "salvatoremcdonagh/predict-hotel-type-with-pandas", "kernel_id": "58123"}, {"ref": "signochastic/valium-2", "kernel_id": "69975"}, {"ref": "signochastic/r-version-of-most-popular-local-hotel", "kernel_id": "54654"}, {"ref": "signochastic/apr-23", "kernel_id": "56668"}, {"ref": "ironin/predict-hotel-type-with-pandas", "kernel_id": "60315"}, {"ref": "sfomichev/notebook-26c4f045ae344cefd752", "kernel_id": "64441"}, {"ref": "paolof89/notebook-1ddc6a723a0a13d7078a", "kernel_id": "55853"}, {"ref": "karimouda/valium-1", "kernel_id": "69922"}, {"ref": "tantunovic/explorer", "kernel_id": "63677"}, {"ref": "lulalachen/explore-data", "kernel_id": "56154"}, {"ref": "wingsol/notebook-fb8dbe6855aeb3ee4c8d", "kernel_id": "70332"}, {"ref": "chaitanyassk/notebook-a11e5045d820fab683ff", "kernel_id": "68240"}, {"ref": "lyonstj/notebook-6123b9006ac6e425e3fb", "kernel_id": "54630"}, {"ref": "drawer/time-dimension", "kernel_id": "57554"}, {"ref": "bryonyhill/first-attempt-at-a-script", "kernel_id": "68159"}, {"ref": "mfagerlund/whycheck", "kernel_id": "61796"}, {"ref": "eranstr/just-testing", "kernel_id": "59611"}, {"ref": "hulisi/explore-data", "kernel_id": "55120"}, {"ref": "hulisi/kalem", "kernel_id": "55121"}, {"ref": "hulisi/notebook-cf7023db71220b8ac268", "kernel_id": "55123"}, {"ref": "hulisi/notebook-ce5bbfb0551b94b344f6", "kernel_id": "55124"}, {"ref": "hulisi/notebook-dd868074eb534ded7313", "kernel_id": "58522"}, {"ref": "hulisi/map-k-demo", "kernel_id": "58360"}, {"ref": "hulisi/notebook-1800f8db84684f2a8f6d", "kernel_id": "58361"}, {"ref": "hulisi/predict-hotel-type-with-pandas", "kernel_id": "58362"}, {"ref": "rdizzl3/notebook-6146e4418a8379a26588", "kernel_id": "60620"}, {"ref": "wenhui/notebook-1ef3118d0e05fd8da06e", "kernel_id": "65459"}, {"ref": "wenhui/test-01", "kernel_id": "65550"}, {"ref": "mlesna/explore-data", "kernel_id": "56826"}, {"ref": "mlesna/notebook-6d6b0789174857f8a82e", "kernel_id": "56827"}, {"ref": "mlesna/map-k-demo", "kernel_id": "56842"}, {"ref": "mlesna/notebook-5d810c5b1cf546bacb77", "kernel_id": "56829"}, {"ref": "mlesna/expedia-visualizations", "kernel_id": "56830"}, {"ref": "mlesna/notebook-fcfd6102f4b80558c475", "kernel_id": "56831"}, {"ref": "mlesna/notebook-4180eddb5c85d8e484dd", "kernel_id": "56832"}, {"ref": "mlesna/notebook-bcae2d4ae2b16e0a4647", "kernel_id": "56833"}, {"ref": "mlesna/notebook-467bb62eb83ca55ca1cc", "kernel_id": "56834"}, {"ref": "youngwolf/pandas-version-of-most-popular-hotels", "kernel_id": "60425"}, {"ref": "citrucel/notebook-0ac37a990d5a7eb99177", "kernel_id": "74596"}, {"ref": "alessandromarrella/notebook-d6a306c137da51d1049a", "kernel_id": "54492"}, {"ref": "alessandromarrella/notebook-c2b47a5d9d3c7f17f215", "kernel_id": "54494"}, {"ref": "alessandromarrella/svm-partial", "kernel_id": "54912"}, {"ref": "alessandromarrella/notebook-f50b060704f7808404f5", "kernel_id": "54812"}, {"ref": "gule0321/notebook-4dacc97c23d7add8957b", "kernel_id": "74806"}, {"ref": "attivillisriharsha/my-script", "kernel_id": "60807"}, {"ref": "iliasemenov/orig-lalala", "kernel_id": "56548"}, {"ref": "sergeyteslyuk/predict-hotel-type-with-pandas", "kernel_id": "64948"}, {"ref": "aneesh52/r-version-of-most-popular-local-hotel", "kernel_id": "65405"}, {"ref": "rkmalaiya/notebook-a90fdf7bb7580689fb5d", "kernel_id": "57831"}, {"ref": "toover/notebook-d9805d0f5542609bca89", "kernel_id": "65135"}, {"ref": "shinykorean/notebook-594bae2eac84f6710e3d", "kernel_id": "56491"}, {"ref": "abhimanyud/leakage", "kernel_id": "62948"}, {"ref": "ravianand87/predict-hotel-type-with-pandas", "kernel_id": "69600"}, {"ref": "ravianand87/notebook-10bff54b85e54a0c014a", "kernel_id": "69601"}, {"ref": "saurabh24292/exploring-data", "kernel_id": "65618"}, {"ref": "saurabh24292/notebook-a52f8589ea8434ff1698", "kernel_id": "65971"}, {"ref": "canran/notebook-baa370f541e8a2d929cd", "kernel_id": "56216"}, {"ref": "canran/notebook-ea2046ef978b33c483e5", "kernel_id": "56218"}, {"ref": "zyazzy/valium-1", "kernel_id": "69853"}, {"ref": "jerrylin/notebook-3ee0fa6f969c8f07c98a", "kernel_id": "64056"}, {"ref": "jerrylin/explore-data", "kernel_id": "64057"}, {"ref": "jerrylin/notebook-9338afe6554eb4d0a404", "kernel_id": "64051"}, {"ref": "jerrylin/start-script", "kernel_id": "64052"}, {"ref": "vanausloos/expedia-interactive-booking-trends", "kernel_id": "185188"}, {"ref": "vanausloos/expedia-model-1", "kernel_id": "178209"}, {"ref": "chanzou/notebook-aad914dd2e2b7a9c0120", "kernel_id": "57790"}, {"ref": "jonathanslomka/hotel-country-1", "kernel_id": "61639"}, {"ref": "jerrythomas/notebook-1171b82b7a3dc2bd231e", "kernel_id": "62728"}, {"ref": "jerrythomas/visualize", "kernel_id": "62729"}, {"ref": "jerrythomas/visualising-the-data", "kernel_id": "63064"}, {"ref": "hanshan/predict-hotel-type-with-pandas", "kernel_id": "66839"}, {"ref": "mrbeer/sampling-out-the-data", "kernel_id": "55832"}, {"ref": "mrbeer/random-forest-low-memory", "kernel_id": "56612"}, {"ref": "awkdpy/predict-hotel-type-with-pandas", "kernel_id": "69026"}, {"ref": "caldmet70/notebook-1d142548beb208b06948", "kernel_id": "68124"}, {"ref": "caldmet70/interactive-booking-trends", "kernel_id": "68126"}, {"ref": "caldmet70/the-locations-puzzle", "kernel_id": "68127"}, {"ref": "caldmet70/explore-data", "kernel_id": "68128"}, {"ref": "timabram/expedia-data-exploration", "kernel_id": "56272"}, {"ref": "timabram/notebook-024d7d8a975d06f6fa5a", "kernel_id": "56269"}, {"ref": "timabram/notebook-1d3a79b26cd4a63a4b4b", "kernel_id": "56270"}, {"ref": "khaledfayed/ehr-1", "kernel_id": "66054"}, {"ref": "guppi3695/notebook-7d405e0610d04a96a053", "kernel_id": "63802"}, {"ref": "abtoabhinav/notebook-ceffaa68fee6930602c4", "kernel_id": "58851"}, {"ref": "pavan22/notebook-4a4c26faee8da4ec252a", "kernel_id": "61004"}, {"ref": "lucianotorres/notebook-cd9b34c731b8023d6c9f", "kernel_id": "61799"}, {"ref": "metinturgal/notebook-b2e603a96817130358d0", "kernel_id": "85516"}, {"ref": "metinturgal/notebook418f648e75", "kernel_id": "86020"}, {"ref": "metinturgal/predict-hotel-type-with-pandas", "kernel_id": "86207"}, {"ref": "metinturgal/predict-hotel-type-with-pandas-58f628d6", "kernel_id": "86208"}, {"ref": "metinturgal/predict-hotel-type-with-pandas-f07d146d", "kernel_id": "86209"}, {"ref": "shashankbassi92/notebook-933a287b73b0d2a77604", "kernel_id": "61287"}, {"ref": "antediemterzium/ehr-recom", "kernel_id": "70123"}, {"ref": "carlcarlson/pandas-version-of-most-popular-hotels", "kernel_id": "63111"}, {"ref": "maxcon/predict-hotel-type-with-pandas", "kernel_id": "58001"}, {"ref": "maxcon/notebook-39f89261a71e9ed42431", "kernel_id": "58003"}, {"ref": "shijinzhang/test-script", "kernel_id": "61214"}, {"ref": "jhchoi/notebook-348004827949eb4ccef7", "kernel_id": "67857"}, {"ref": "lsy643/predict-hotel-type-with-pandas", "kernel_id": "67210"}, {"ref": "bbuluttekin/notebook-f10e89635914a724feef", "kernel_id": "63663"}, {"ref": "bbuluttekin/notebook-5375e1c616b22f2fe2e0", "kernel_id": "63664"}, {"ref": "alicelane/notebook-3660248f6c56e7a517a4", "kernel_id": "59916"}, {"ref": "llcoolnj/expedia", "kernel_id": "61811"}, {"ref": "llcoolnj/notebook-3f1af9bc87f2f2162346", "kernel_id": "61815"}, {"ref": "iamycd/explore-data", "kernel_id": "63634"}, {"ref": "iamycd/notebook-7b81aa72c3df1a90d27c", "kernel_id": "67079"}, {"ref": "iamycd/notebook-27e30db6f023c1074d3f", "kernel_id": "67072"}, {"ref": "iamycd/practice", "kernel_id": "67073"}, {"ref": "iamycd/predict-hotel-type-with-pandas", "kernel_id": "66984"}, {"ref": "iamycd/notebook-76c24a233cd7bb3d6c6e", "kernel_id": "67125"}, {"ref": "iamycd/notebook-3ddfa597b96426a29469", "kernel_id": "69013"}, {"ref": "iamycd/notebook-0e58a5853386468392c9", "kernel_id": "69040"}, {"ref": "weidanzhou/notebook-cf1319be987bc44e0c7b", "kernel_id": "63951"}, {"ref": "zengxy/notebook30d4b5f4b5", "kernel_id": "135522"}, {"ref": "pamruta/notebook-1d95f876d306206d6fcd", "kernel_id": "54475"}, {"ref": "wobiskai/notebook-de99aa059222624f1175", "kernel_id": "56859"}, {"ref": "wobiskai/notebook-343e718a56cffd6ed989", "kernel_id": "61019"}, {"ref": "wobiskai/notebook-1", "kernel_id": "61020"}, {"ref": "thedoctor46/last-week-xkcd", "kernel_id": "69276"}, {"ref": "chandapuramharsha/predict-hotel-type-with-pandas", "kernel_id": "58542"}, {"ref": "hl5240/notebook-99a80082111413370074", "kernel_id": "60795"}, {"ref": "hl5240/notebook-d291e48ba29bc68a3c25", "kernel_id": "60774"}, {"ref": "hl5240/notebook-0964ed042ad2063a69a2", "kernel_id": "60842"}, {"ref": "blackcore/hotel-country2", "kernel_id": "61608"}, {"ref": "blackcore/dataquest-tutorial", "kernel_id": "60467"}, {"ref": "amitks/notebook-7b09287c24a2271cd23d", "kernel_id": "67508"}, {"ref": "bekterra/notebook-aa59e67d62bc1b025dea", "kernel_id": "64601"}, {"ref": "wangyaqing7/leakage-solution", "kernel_id": "67723"}, {"ref": "raynchen/notebook-13be1f477848f9ffa900", "kernel_id": "56488"}, {"ref": "rinalin/notebook7b410fcafa", "kernel_id": "194516"}, {"ref": "radhabhala1/notebook-5f42b9651ad0424b523b", "kernel_id": "59920"}, {"ref": "jackiec/notebook-d666cdba3c4809c7cbd1", "kernel_id": "61025"}, {"ref": "vikikrishna/lda-model", "kernel_id": "67420"}, {"ref": "vikikrishna/notebook-a173316528bce479a25b", "kernel_id": "67334"}, {"ref": "eltotterino/map-k-demo", "kernel_id": "60568"}, {"ref": "nanarora/notebook-9a60bee1e6cf73d2249d", "kernel_id": "64302"}, {"ref": "nanarora/notebook-fe127b165e87b48aa791", "kernel_id": "64303"}, {"ref": "vinodmang/notebook-7a7d19d21d87ee7d205c", "kernel_id": "54880"}, {"ref": "aiswaryaramachandran/notebook-7f3b2987bd1c56861de0", "kernel_id": "55112"}, {"ref": "muaazbinsaeed/notebook-6e66613a66decc3cb2f0", "kernel_id": "65641"}, {"ref": "jyotiislam/temp-script", "kernel_id": "68096"}, {"ref": "jyotiislam/notebook-b6f4f1da0d50d50ef6c1", "kernel_id": "68097"}, {"ref": "tderrmann/notebook-8b53ab055a0dfb395667", "kernel_id": "55825"}, {"ref": "tderrmann/testnotebook2", "kernel_id": "55827"}, {"ref": "davidkunio/expedia-prediction-set", "kernel_id": "61689"}, {"ref": "davidkunio/notebook-141c098acd1605e04a5a", "kernel_id": "61695"}, {"ref": "davidkunio/notebook-3d95bbbc46c3a3c131e6", "kernel_id": "61697"}, {"ref": "paullo0106/interactive-booking-trends", "kernel_id": "67295"}, {"ref": "sionek/simple-validation", "kernel_id": "62913"}, {"ref": "sionek/ehr-123", "kernel_id": "62756"}, {"ref": "bigtdatalearner/notebook-d95b71f6089e517df532", "kernel_id": "66744"}, {"ref": "bigtdatalearner/notebook-64c5503d9a73301b89c1", "kernel_id": "66745"}, {"ref": "hee760721/notebook-61426235e7a9cb24c359", "kernel_id": "54346"}, {"ref": "ashishj150992/random", "kernel_id": "55225"}, {"ref": "yasha0b1/notebook-4cc60f9f704cbbcf8065", "kernel_id": "60343"}, {"ref": "davidp89/notebook-525590ec6d5b753af55d", "kernel_id": "58486"}, {"ref": "haritha96/first-try", "kernel_id": "61798"}, {"ref": "pengkelian/notebooke664b162b4", "kernel_id": "241433"}, {"ref": "sn396409/notebook-c64ab4804bc24f8f92c6", "kernel_id": "55374"}, {"ref": "colson1111/notebook-6035941910e6cac30622", "kernel_id": "54377"}, {"ref": "colson1111/notebook-65b076e88a7ca29f2bfe", "kernel_id": "54403"}, {"ref": "colson1111/notebook-65053ef0923d74a57dde", "kernel_id": "54380"}, {"ref": "abednadir/r-version-of-most-popular-local-hotel", "kernel_id": "54970"}, {"ref": "keyshin/explore-leaky-columns", "kernel_id": "69021"}, {"ref": "laurencedetorrente/essai-r", "kernel_id": "54651"}, {"ref": "laurencedetorrente/notebook-92f3392a307e758044ba", "kernel_id": "54376"}, {"ref": "laurencedetorrente/notebook-8872c3a8b1bb6027c7a1", "kernel_id": "54379"}, {"ref": "laurencedetorrente/notebook-1efa955499db9727ff8d", "kernel_id": "54399"}, {"ref": "laurencedetorrente/notebook-962988923e40b0354a7a", "kernel_id": "54392"}, {"ref": "laurencedetorrente/notebook-13c456c71c9524831e5b", "kernel_id": "54393"}, {"ref": "laurencedetorrente/essai", "kernel_id": "54396"}, {"ref": "laurencedetorrente/notebook-6e41ce67a2352ee85b9a", "kernel_id": "54428"}, {"ref": "laurencedetorrente/notebook-b0af3349ec26350d295d", "kernel_id": "54431"}, {"ref": "igorlakoza/notebook87e74043a1", "kernel_id": "90496"}, {"ref": "nikolayburlutskiy/chunking-features-xgboosting", "kernel_id": "69264"}, {"ref": "arpangupta87/alpha-expedia-1", "kernel_id": "60340"}, {"ref": "abhinavs01858/ehr-1", "kernel_id": "68100"}, {"ref": "abulbasar/explore-data", "kernel_id": "65559"}, {"ref": "abulbasar/notebook-5ff9c7ecdc498308b48f", "kernel_id": "65561"}, {"ref": "bamba15/notebook-a76c6e93238ae5358b37", "kernel_id": "68423"}, {"ref": "violinbeats/notebook-5ac53582596dcdb51e44", "kernel_id": "63819"}, {"ref": "violinbeats/notebook-4824debe1a1db8e1e444", "kernel_id": "63823"}, {"ref": "ksatriajenggot/notebook-e71c2f09805a9d35431d", "kernel_id": "56078"}, {"ref": "arthchan2003/notebook-51a0ffeec3a1ed12bba8", "kernel_id": "64691"}, {"ref": "arthchan2003/predict-hotel-type-with-pandas", "kernel_id": "62266"}, {"ref": "arthchan2003/notebook-dec495162bebc0688021", "kernel_id": "68183"}, {"ref": "arthchan2003/notebook-de2c37bc9f8b91a2ea2a", "kernel_id": "68184"}, {"ref": "kanwalsalh/notebook-8a3a4faa03451c12570d", "kernel_id": "66249"}, {"ref": "kanwalsalh/notebook-57a3d2884c3e0a70de76", "kernel_id": "77745"}, {"ref": "pperalg/notebook-f1b9f92604479a461420", "kernel_id": "61011"}, {"ref": "chunky/latent-destination-features", "kernel_id": "62794"}, {"ref": "chunky/predict-hotel-type-with-pandas", "kernel_id": "62807"}, {"ref": "raunaqrewari/explore-data", "kernel_id": "58083"}, {"ref": "vishallakha/r-version-of-most-popular-local-hotel", "kernel_id": "124764"}, {"ref": "arfatios/yolo-notebook", "kernel_id": "61560"}, {"ref": "nminhptnk/notebook-a7e7cbd435f69be049a6", "kernel_id": "65367"}, {"ref": "nminhptnk/predict-hotel-type-with-pandas", "kernel_id": "65357"}, {"ref": "nminhptnk/notebook-4f766649521385db074e", "kernel_id": "65359"}, {"ref": "yuyan666/notebookacf5070df8", "kernel_id": "122406"}, {"ref": "domesc/notebook-6a19c2219c168e8b980d", "kernel_id": "54594"}, {"ref": "domesc/explore-data", "kernel_id": "54626"}, {"ref": "domesc/notebook-c98588b18572389c689f", "kernel_id": "54602"}, {"ref": "nakisa/notebook-d117c618968f7a255300", "kernel_id": "56750"}, {"ref": "nilabhra/expedia-notebook1", "kernel_id": "61714"}, {"ref": "saravanann/notebook-3942fef593f26e01ab64", "kernel_id": "67966"}, {"ref": "saravanann/expedia-1", "kernel_id": "67963"}, {"ref": "saravanann/notebook-e5e9cad9aa7d95c93d38", "kernel_id": "67964"}, {"ref": "saravanann/expedia", "kernel_id": "60974"}, {"ref": "saravanann/notebook-eb131c9edd33c263d4e9", "kernel_id": "60975"}, {"ref": "ramamohand/predict-hotel-type-with-pandas", "kernel_id": "65105"}, {"ref": "liuzq09/predict-hotel-type-with-pandas", "kernel_id": "58798"}, {"ref": "rajighawi/srch-dest1", "kernel_id": "64714"}, {"ref": "agavranis/160424-bookings", "kernel_id": "57012"}, {"ref": "agavranis/ehr-11", "kernel_id": "63682"}, {"ref": "agavranis/notebook-b05e2eef4408117968c9", "kernel_id": "61528"}, {"ref": "renming/notebook-3667c4faa0844b7eb917", "kernel_id": "59209"}, {"ref": "lalthan/predict-hotel-type-with-pandas", "kernel_id": "106476"}, {"ref": "tamwill/notebook-47c9f89f61b5cba60ec4", "kernel_id": "61225"}, {"ref": "tamwill/notebook-7639b0ec92446ef506fd", "kernel_id": "61226"}, {"ref": "tamwill/notebook-76ab7920b6a02d642047", "kernel_id": "61227"}, {"ref": "hardeeparora/leakage-solution", "kernel_id": "61057"}, {"ref": "ajay88/predict-hotel-type-with-pandas", "kernel_id": "59026"}, {"ref": "denamemari/predict-hotel-type-with-pandas", "kernel_id": "65049"}, {"ref": "raddar/ehr-1", "kernel_id": "62733"}, {"ref": "raddar/simple-validation", "kernel_id": "63061"}, {"ref": "elenavin/notebook-d54de30c45da2e116dcd", "kernel_id": "65056"}, {"ref": "elenavin/notebook-95f88c864802aab2b2c7", "kernel_id": "65057"}, {"ref": "elenavin/notebook-f343a0563ceb20b9c4c8", "kernel_id": "65059"}, {"ref": "qqgeogor/logodds-encoding", "kernel_id": "61479"}, {"ref": "chenchaodev/predict-hotel-type-with-pandas-f6410be4", "kernel_id": "94668"}, {"ref": "chenchaodev/notebook-267f4773ac82aa777f57", "kernel_id": "67428"}, {"ref": "chenchaodev/expedia-160531-tony", "kernel_id": "67421"}, {"ref": "chenchaodev/predict-hotel-type-with-pandas", "kernel_id": "67423"}, {"ref": "chenchaodev/notebook-f8fd546331016f8b31a7", "kernel_id": "67467"}, {"ref": "chenchaodev/notebook-2f0ca015838d9886ab58", "kernel_id": "67553"}, {"ref": "jak131/notebook948be7f69e", "kernel_id": "88424"}, {"ref": "jak131/notebook9f391d1ced", "kernel_id": "88425"}, {"ref": "negaduck/leakage-solution", "kernel_id": "61166"}, {"ref": "sidgupta/notebook-fe66e133cd937c509a4a", "kernel_id": "65879"}, {"ref": "sidgupta/notebook-39706182778afb4e63a5", "kernel_id": "65867"}, {"ref": "sidgupta/notebook-6d9c2492ae1497428d71", "kernel_id": "65871"}, {"ref": "sidgupta/notebook-7b3582730da18253fd52", "kernel_id": "65872"}, {"ref": "mohanpb/pandas-expedia", "kernel_id": "61045"}, {"ref": "mohanpb/leakage-solution", "kernel_id": "61021"}, {"ref": "mohanpb/valium-1", "kernel_id": "69472"}, {"ref": "mohanpb/notebook-d1d9b08e916e16f5541a", "kernel_id": "58374"}, {"ref": "mohanpb/notebook-d4343897a019d5dfefef", "kernel_id": "58380"}, {"ref": "parthamishra1996/predict-hotel-type-with-pandas", "kernel_id": "106871"}, {"ref": "sb1700/notebook-83a76b3651c166b59389", "kernel_id": "59740"}, {"ref": "sb1700/notebook-4223c1ca48803eff1dd0", "kernel_id": "59598"}, {"ref": "sb1700/experdia", "kernel_id": "59599"}, {"ref": "kunitaka/explore-data", "kernel_id": "54397"}, {"ref": "marios/notebook-ac3d1bde0e267446e48d", "kernel_id": "60055"}, {"ref": "jplindsen/predict-hotel-type-with-pandas", "kernel_id": "57795"}, {"ref": "yuezhang/predict-hotel-type-with-pandas", "kernel_id": "62523"}, {"ref": "francoisdelspn/notebook-4e19791d093dda456e34", "kernel_id": "59587"}, {"ref": "francoisdelspn/notebook-9a187c6b55c78f56be2a", "kernel_id": "59621"}, {"ref": "muhammedazamkhan/expedia-hotel-recommendations-by-mak", "kernel_id": "54495"}, {"ref": "dumpty/ttt02", "kernel_id": "69290"}, {"ref": "dumpty/expedia-01", "kernel_id": "61336"}, {"ref": "dumpty/hotel-country-2", "kernel_id": "63180"}, {"ref": "csaguiar/notebook-da6722a4f17e1b4ce6b9", "kernel_id": "62663"}, {"ref": "lses40311/notebook-df39fd44c4b9d2bcd5b9", "kernel_id": "64585"}, {"ref": "pasqui/notebook-b97ad343719e70491bd7", "kernel_id": "54302"}, {"ref": "pasqui/hotel-cluster-visualization", "kernel_id": "54300"}, {"ref": "pasqui/notebook-9021c533d7667e641ac3", "kernel_id": "54295"}, {"ref": "pasqui/notebook-9a96ac718ac48d182f11", "kernel_id": "54297"}, {"ref": "pasqui/notebook-601fa755bf21e84fa424", "kernel_id": "54298"}, {"ref": "sergeyivanov/leakage-solution", "kernel_id": "65309"}, {"ref": "sergeyivanov/notebook-93d0773077142ea19a76", "kernel_id": "59468"}, {"ref": "sergeyivanov/beginning-exp", "kernel_id": "59139"}, {"ref": "sergeyivanov/testt", "kernel_id": "59842"}, {"ref": "straka/predict-hotel-type-with-pandas", "kernel_id": "62203"}, {"ref": "straka/notebook-3906e732e18df537907f", "kernel_id": "62204"}, {"ref": "straka/notebook-099cb32daae7f020001e", "kernel_id": "66851"}, {"ref": "ganliu/notebook-2997a3f50105a322ae0e", "kernel_id": "59188"}, {"ref": "phoebe0904/notebook-d64cbb91733373f91a05", "kernel_id": "56921"}, {"ref": "phoebe0904/notebook-d0ca6de1683377ae7f63", "kernel_id": "56919"}, {"ref": "phoebe0904/notebook-622e237b17bdd59c65ec", "kernel_id": "56908"}, {"ref": "iamleungyeehin/notebook-d794fe1442db843be344", "kernel_id": "56870"}, {"ref": "iamleungyeehin/seeoutput", "kernel_id": "56923"}, {"ref": "iamleungyeehin/notebook-d5c9bc2939caa3ead5fe", "kernel_id": "56924"}, {"ref": "chuhimself/exploring-data", "kernel_id": "66392"}, {"ref": "guillaumem/notebook-081fdd9ebf30b6c19e9d", "kernel_id": "54308"}, {"ref": "dedebgd/predict-hotel-type-with-pandas", "kernel_id": "62052"}, {"ref": "yaojiyue/notebook-96a7fee17cd3f92b5cf8", "kernel_id": "68855"}, {"ref": "yaojiyue/hotel-recommend", "kernel_id": "68851"}, {"ref": "raiderx/notebook-e0720580e9b346c0e6a9", "kernel_id": "67250"}, {"ref": "datadynamics/notebook-6d8cfeedbd525ce642df", "kernel_id": "59723"}, {"ref": "stroganov/interactive-booking-trends", "kernel_id": "70094"}, {"ref": "yoonespi/notebook-3f4d273eb006dbe398ac", "kernel_id": "84672"}, {"ref": "linkinparkcs/the-locations-puzzle", "kernel_id": "120402"}, {"ref": "thibaut95k/predict-hotel-type-with-pandas", "kernel_id": "63179"}, {"ref": "thibaut95k/zfturbo-separation-by-children", "kernel_id": "64295"}, {"ref": "cnt613/test-try", "kernel_id": "68922"}, {"ref": "balinthaller/notebook-251b8352094f80afc209", "kernel_id": "60115"}, {"ref": "ddoerr/notebook-976cd6fbffebde971a20", "kernel_id": "65388"}, {"ref": "flatorien/predict-hotel-type-with-pandas", "kernel_id": "86359"}, {"ref": "flatorien/notebook30e96f5a42", "kernel_id": "86363"}, {"ref": "flatorien/explore-data", "kernel_id": "86364"}, {"ref": "kimiamania/notebook-f6ef895808d49999e4b8", "kernel_id": "77160"}, {"ref": "alexandrearaujo/notebook-b436228b4f0abccfa26a", "kernel_id": "59637"}, {"ref": "chirag15/test-v1", "kernel_id": "131868"}, {"ref": "cacal39/try-1", "kernel_id": "63243"}, {"ref": "cacal39/try-2", "kernel_id": "63245"}, {"ref": "cacal39/test-1", "kernel_id": "56763"}, {"ref": "seanliu/notebook-03795a335bcaca8e5777", "kernel_id": "65340"}, {"ref": "maxcvc/valium-1", "kernel_id": "64296"}, {"ref": "maxcvc/notebook-625fc7da30f355b88455", "kernel_id": "60804"}, {"ref": "maxcvc/vrsse2", "kernel_id": "61783"}, {"ref": "theashwanigupta/ehr-1", "kernel_id": "67013"}, {"ref": "theashwanigupta/mmys-3", "kernel_id": "68941"}, {"ref": "hkropp/notebook-038bef8be041bcc711bb", "kernel_id": "55522"}, {"ref": "hkropp/notebook-5ca08a9186692adfb9dd", "kernel_id": "55528"}, {"ref": "hkropp/test1", "kernel_id": "55530"}, {"ref": "yi374700/notebook-881e81f1d7631f6b5ad4", "kernel_id": "64300"}, {"ref": "omarelgabry/expedia-hotel-cluster-predictions", "kernel_id": "57287"}, {"ref": "omarelgabry/notebook-729f00c88a09ff66d58a", "kernel_id": "57160"}, {"ref": "omarelgabry/explore-expedia-search-data", "kernel_id": "57206"}, {"ref": "omarelgabry/notebook-d432a3cd23f3f06c553e", "kernel_id": "57230"}, {"ref": "omarelgabry/notebook-875ec1ef60e04c3c45bd", "kernel_id": "57233"}, {"ref": "omarelgabry/notebook-3872c1e6f535a85131fa", "kernel_id": "57227"}, {"ref": "omarelgabry/notebook-4d50972cb871d2310195", "kernel_id": "57209"}, {"ref": "omarelgabry/notebook-b7c587cc15e5f78fcfbc", "kernel_id": "57216"}, {"ref": "omarelgabry/notebook-87dbe34b6663dd2efe09", "kernel_id": "57274"}, {"ref": "omarelgabry/notebook-53feef68bcee93b50ae5", "kernel_id": "56504"}, {"ref": "omarelgabry/notebook-a276ee4bdf0b29b2a19b", "kernel_id": "56382"}, {"ref": "jbaklouti/notebook-e87b287483560280ea96", "kernel_id": "59354"}, {"ref": "jbaklouti/notebook-e4d76a076e3233560bf9", "kernel_id": "59355"}, {"ref": "neverlandsasas/interactive-booking-trends", "kernel_id": "69075"}, {"ref": "victorbvieira/notebook-2363d61ef05b9bfa6b20", "kernel_id": "58119"}, {"ref": "ammara/predict-hotel-type-with-pandas", "kernel_id": "65522"}, {"ref": "bytestorm/dataleak", "kernel_id": "65159"}, {"ref": "bytestorm/notebook-5d0f938af28f9da4dc3a", "kernel_id": "65160"}, {"ref": "charleshan/notebook-72c3aaf13f64b78f1557", "kernel_id": "54548"}, {"ref": "charleshan/notebook-40a7dd2d703b0fa813bd", "kernel_id": "60465"}, {"ref": "charleshan/notebook-3ea9daf9bce68a01678a", "kernel_id": "60458"}, {"ref": "charleshan/notebook-a9720677226466bebf76", "kernel_id": "60459"}, {"ref": "charleshan/notebook-7463f9da41f5ffb8c52e", "kernel_id": "60461"}, {"ref": "beedata/ehr-recom", "kernel_id": "70222"}, {"ref": "beedata/ehr-1", "kernel_id": "69348"}, {"ref": "beedata/mmys-3", "kernel_id": "69341"}, {"ref": "goldstar/notebook-3d73535e94807e03ee96", "kernel_id": "69766"}, {"ref": "goldstar/notebook-6fbdc0d7736d0ed65ba0", "kernel_id": "69767"}, {"ref": "goldstar/notebook-e25e32c5b7e94742de52", "kernel_id": "69761"}, {"ref": "shashwat12/notebook-5aad2a5a6a28c24f326b", "kernel_id": "56396"}, {"ref": "shashwat12/hotel-recommendation", "kernel_id": "56397"}, {"ref": "brandao/expedia-test-1", "kernel_id": "66174"}, {"ref": "brandao/expedia-test-2", "kernel_id": "66180"}, {"ref": "chenzw/explore-data", "kernel_id": "63516"}, {"ref": "vitaliyradchenko/notebook-301bcb2bd7fcf208c79f", "kernel_id": "58078"}, {"ref": "vitaliyradchenko/notebook-900483b7dbf78743aa6d", "kernel_id": "58087"}, {"ref": "pavelgonchar/ehr-recom", "kernel_id": "70111"}, {"ref": "zfturbo/leakage-solution", "kernel_id": "60666"}, {"ref": "zfturbo/r-some-tweaks", "kernel_id": "55654"}, {"ref": "animesh371/expediascript", "kernel_id": "67793"}, {"ref": "aissaelouafi/notebook-cb37949ec77a36031331", "kernel_id": "54616"}, {"ref": "chugchig/explore-data", "kernel_id": "55975"}, {"ref": "febman/notebook-3bd4adb4b322ebcebe20", "kernel_id": "62914"}, {"ref": "freshdachs/notebook-6daa9deac2d019dae7b5", "kernel_id": "60811"}, {"ref": "freshdachs/notebook-ab7686d98d6d0761476c", "kernel_id": "60828"}, {"ref": "freshdachs/notebook-f07485ae85a68ebb6c50", "kernel_id": "60829"}, {"ref": "dusj1993/notebook-6fc440f5ed9d333f9bcf", "kernel_id": "58661"}, {"ref": "dusj1993/notebook-316d85dccdf93b7a2639", "kernel_id": "58662"}, {"ref": "dusj1993/notebook-df0718cdc225d82126e9", "kernel_id": "58663"}, {"ref": "dusj1993/predict-hotel-type-with-pandas", "kernel_id": "58657"}, {"ref": "ckmishra/predict-hotel-type-with-pandas", "kernel_id": "60169"}, {"ref": "ckmishra/notebook-6e7ae990e0fbb3107a72", "kernel_id": "60170"}, {"ref": "varunpa/explore-expedia-search-data", "kernel_id": "60797"}, {"ref": "varunpa/notebook-8976572fa633b6eca8ae", "kernel_id": "60790"}, {"ref": "varunpa/predict-hotel-type-with-pandas", "kernel_id": "60780"}, {"ref": "varunpa/notebook-c8ac0872c116ed646bd6", "kernel_id": "60821"}, {"ref": "varunpa/notebook-86fd923e3806e97fc2b2", "kernel_id": "66701"}, {"ref": "varunpa/postgresql-and-python", "kernel_id": "66702"}, {"ref": "yearnyeen/explore-data", "kernel_id": "62642"}, {"ref": "yearnyeen/predict-hotel-type-with-pandas", "kernel_id": "62638"}, {"ref": "jiechao/notebook-71c91df017197c5edc64", "kernel_id": "65989"}, {"ref": "loicmasure/explore-data", "kernel_id": "68101"}, {"ref": "loicmasure/notebook-ac6b4063f5eb08e3a6bb", "kernel_id": "68102"}, {"ref": "prerit912/notebook-3480ad6d26adfe908225", "kernel_id": "69980"}, {"ref": "vikrantdogra/notebook-45d785271862550e4746", "kernel_id": "69784"}, {"ref": "vikrantdogra/notebook-27faa988a35b35df260e", "kernel_id": "69785"}, {"ref": "thxdata/notebook-76113cc6238f91f58035", "kernel_id": "59692"}, {"ref": "gajopetrovic/notebook-87fd3cbc1f26984f74f6", "kernel_id": "60971"}, {"ref": "gajopetrovic/notebook-ff53664499a3e4992d18", "kernel_id": "60969"}, {"ref": "gajopetrovic/notebook-72efd25ae9dfc4efa11e", "kernel_id": "61238"}, {"ref": "gajopetrovic/notebook-53cf82fb119b03a21a98", "kernel_id": "61176"}, {"ref": "rojiwon/predict-hotel-type-with-pandas", "kernel_id": "58698"}, {"ref": "jkoerner/predict-hotel-type-with-pandas", "kernel_id": "58052"}, {"ref": "franklindong/explore-data-90fc578d", "kernel_id": "102016"}, {"ref": "franklindong/explore-data", "kernel_id": "101998"}, {"ref": "seandot7/notebook445f16743e", "kernel_id": "120512"}, {"ref": "manels/dataquest-tutorial", "kernel_id": "60576"}, {"ref": "lucienderubempre/notebook-fd22a33379fb66e078b4", "kernel_id": "65107"}, {"ref": "draschemus/notebook3ae3b80ea0", "kernel_id": "174716"}, {"ref": "wwwjk366/leakage-solution", "kernel_id": "62121"}, {"ref": "keater/expedia-begining", "kernel_id": "57483"}, {"ref": "keater/notebook-94085f24a6c1d55f915a", "kernel_id": "57484"}, {"ref": "ivsmolyar/notebook-60020de36711c0cc74af", "kernel_id": "61171"}, {"ref": "ivsmolyar/myfirstscript", "kernel_id": "61153"}, {"ref": "ivsmolyar/leakage-solution", "kernel_id": "61154"}, {"ref": "ivsmolyar/notebook-375f35938a8ef003d985", "kernel_id": "61168"}, {"ref": "ivsmolyar/notebook-2254fbc8c0df0bf1e6dd", "kernel_id": "61159"}, {"ref": "bcantagrel/notebook-465a097de15019c8639a", "kernel_id": "57950"}, {"ref": "doktrlist/notebook-fd4dae7c37c2fd154eb4", "kernel_id": "65582"}, {"ref": "doktrlist/notebook-b6b5eb22f5985b2c0f6f", "kernel_id": "65610"}, {"ref": "doktrlist/notebook-6f783fc62663391d59a3", "kernel_id": "65630"}, {"ref": "doktrlist/notebook-140dcf882e1fdac3cad1", "kernel_id": "65603"}, {"ref": "doktrlist/notebook-c6308b95f4f0be70b8e1", "kernel_id": "66728"}, {"ref": "doktrlist/notebook-d071b2d43c98ac56c7c4", "kernel_id": "66754"}, {"ref": "doktrlist/notebook-6f68380a8ad0ca3f35e1", "kernel_id": "65660"}, {"ref": "doktrlist/notebook-9e0cd71a74dfc82f65d9", "kernel_id": "66091"}, {"ref": "rdslater/load-data-w-low-memory", "kernel_id": "63188"}, {"ref": "eag811/notebook-cbe5707f99ac114bbd70", "kernel_id": "56568"}, {"ref": "eag811/expedia-code", "kernel_id": "56571"}, {"ref": "xduan2008/explore-data", "kernel_id": "65324"}, {"ref": "chai594276/explore-data", "kernel_id": "54924"}, {"ref": "denkasyanov/notebook859a717260", "kernel_id": "87772"}, {"ref": "njsgrace/notebook-f25a9185c693cb406ede", "kernel_id": "54936"}, {"ref": "josemontiel/notebook-8b6d89735d90d6cc1829", "kernel_id": "62623"}, {"ref": "josemontiel/notebook-c0e90deefbf5d479ddca", "kernel_id": "62679"}, {"ref": "josemontiel/notebook-9d63babcfdbb04ce7154", "kernel_id": "62680"}, {"ref": "grimmy/notebook-5deb758d9fc80ce4125d", "kernel_id": "59691"}, {"ref": "wangxiaohao/notebook-ad08bc570099c91d74c9", "kernel_id": "67938"}, {"ref": "takeshichka/krish", "kernel_id": "67177"}, {"ref": "takeshichka/predict-hotel-type-with-pandas", "kernel_id": "61505"}, {"ref": "takeshichka/notebook-b581d3cc5be9992309e1", "kernel_id": "65568"}, {"ref": "takeshichka/notebook-deb41fc3ce92ee0d5aee", "kernel_id": "65569"}, {"ref": "takeshichka/the-locations-puzzle", "kernel_id": "64793"}, {"ref": "takeshichka/ehr-1", "kernel_id": "64794"}, {"ref": "cmadhok94/notebook-10b7b220fcce7ea8b4ec", "kernel_id": "62649"}, {"ref": "cmadhok94/notebook-96d021df8550cc368462", "kernel_id": "61266"}, {"ref": "kjacks21/notebook-41b9f148fff809c8f7ca", "kernel_id": "65534"}, {"ref": "kjacks21/notebook-60f6a3099d932b6a8bcf", "kernel_id": "65535"}, {"ref": "kjacks21/prepwork", "kernel_id": "65318"}, {"ref": "andrewkuzmin/notebook-64ec6725ad6ece77a40f", "kernel_id": "54333"}, {"ref": "arjoonn/predict-hotel-type-with-pandas", "kernel_id": "60010"}, {"ref": "arjoonn/notebook-e36525c97a0dbb41f292", "kernel_id": "57927"}, {"ref": "arjoonn/notebook-5e8c7771dedd4e275f7a", "kernel_id": "56409"}, {"ref": "arjoonn/notebook-2d155938cecd7d68188b", "kernel_id": "54261"}, {"ref": "ishitaagrawal/notebooka8d51b8cba", "kernel_id": "119477"}, {"ref": "leongao/explore-data", "kernel_id": "56207"}, {"ref": "anu2analytics/notebook-0d97a7862267b77625c2", "kernel_id": "56429"}, {"ref": "noviceguy/expedia-hotel-recommendation", "kernel_id": "95611"}, {"ref": "juliensb137/notebook-89342a6ee2a7aa610d07", "kernel_id": "63485"}, {"ref": "knitcode/interactive-booking-trends", "kernel_id": "66736"}, {"ref": "knitcode/notebook-3d33b630023f6e54e637", "kernel_id": "66737"}, {"ref": "piyushmishra/notebook-589d6b6c0d1ab5b70438", "kernel_id": "55045"}, {"ref": "defenestration/expedia-popular-solution", "kernel_id": "68411"}, {"ref": "defenestration/testing-scripts", "kernel_id": "62977"}, {"ref": "defenestration/notebook-bd4964d5ddec92309f68", "kernel_id": "62972"}, {"ref": "liaison/notebook-9847a57f123999fa3969", "kernel_id": "54921"}, {"ref": "a1278162/notebook-0ad85dd20a3d4c40f096", "kernel_id": "58942"}, {"ref": "prateekbhat/the-locations-puzzle", "kernel_id": "110200"}, {"ref": "ankitkohli/notebook-f94719dc3efbdffebbf3", "kernel_id": "60742"}, {"ref": "ankitkohli/expedia-hotelrecommender", "kernel_id": "60736"}, {"ref": "ankitkohli/notebook-c7aef850996332d1346c", "kernel_id": "60507"}, {"ref": "vistrcm/notebook-fc09c1b9e915ee653028", "kernel_id": "54448"}, {"ref": "edmondyoung/hello", "kernel_id": "61559"}, {"ref": "sechangoh/notebook-32d52f5b3600117223bd", "kernel_id": "76963"}, {"ref": "yukitan/notebook-27ab777a10851228632c", "kernel_id": "61979"}, {"ref": "yukitan/leakage-solution", "kernel_id": "61981"}, {"ref": "mingcaiqin/expedia-try4", "kernel_id": "65687"}, {"ref": "mingcaiqin/match-solution", "kernel_id": "65688"}, {"ref": "naisargee/notebook-6daac600cae9da129bdd", "kernel_id": "68138"}, {"ref": "anokas/xgboost-2", "kernel_id": "55153"}, {"ref": "anokas/size-of-datasets", "kernel_id": "55154"}, {"ref": "jsab16/predict-hotel-type-with-pandas", "kernel_id": "65046"}, {"ref": "jsab16/learning", "kernel_id": "67066"}, {"ref": "jsab16/notebook-3672c8f7795ef5c9e35d", "kernel_id": "67067"}, {"ref": "powell314/first-attempt-at-non-titanic", "kernel_id": "58392"}, {"ref": "kellywxw/notebook-69909a56d2981add9dd6", "kernel_id": "54276"}, {"ref": "yangshen/notebook-0447aee2b88560dce8c7", "kernel_id": "55372"}, {"ref": "arunsadhasivam/irina", "kernel_id": "70609"}, {"ref": "mirekbe/notebook93a6bfcaa6", "kernel_id": "122242"}, {"ref": "sarame/notebook-13979ec81e3e771c8cc1", "kernel_id": "57723"}, {"ref": "sarame/notebook-1b80d42cea7ef097416a", "kernel_id": "57724"}, {"ref": "sarame/r-version-of-most-popular-local-hotel", "kernel_id": "55813"}, {"ref": "hurelyyu/notebook-499e1e0a4d86ad27ac7d", "kernel_id": "65894"}, {"ref": "matthewwdemas/expedia-eda", "kernel_id": "64442"}, {"ref": "julienstpf/notebook-0910b0a8c9e992952483", "kernel_id": "61109"}, {"ref": "julienstpf/notebook-2ed9a30eb311c6f6f4e1", "kernel_id": "61112"}, {"ref": "julienstpf/notebook-a1d923d49dfbaca9fa81", "kernel_id": "61113"}, {"ref": "julienstpf/predict-hotel-type-with-pandas", "kernel_id": "61114"}, {"ref": "kdivya/predict-hotel-type-with-pandas", "kernel_id": "63259"}, {"ref": "kdivya/notebook-76c6beae6a18e737cc7b", "kernel_id": "63265"}, {"ref": "kdivya/notebook-10e340ed378d7620626f", "kernel_id": "63266"}, {"ref": "amdouni/ehr-1", "kernel_id": "66403"}, {"ref": "succourpunch/playground", "kernel_id": "54460"}, {"ref": "vamtosh/notebook-0587b522d39c2422404f", "kernel_id": "54440"}, {"ref": "vamtosh/notebook-3df743917f21c251032a", "kernel_id": "54435"}, {"ref": "vamtosh/predict-hotel-type-with-pandas", "kernel_id": "63933"}, {"ref": "vamtosh/notebook-f5c1c98ed8c1a6d25928", "kernel_id": "63935"}, {"ref": "vamtosh/notebook-810a7b17919bcde95b44", "kernel_id": "63939"}, {"ref": "vamtosh/notebook-f0862140f33bc5399a5f", "kernel_id": "63940"}, {"ref": "vamtosh/notebook-e7ed107716e1fc1d9102", "kernel_id": "64117"}, {"ref": "yehjames/notebook-0d3a737e369b8367c2b7", "kernel_id": "57157"}, {"ref": "yehjames/expedia-begining", "kernel_id": "57142"}, {"ref": "hswater1/get-this-1-3-right", "kernel_id": "58701"}, {"ref": "sunghun/notebook-b53c315ebe1c5b4f0483", "kernel_id": "81980"}, {"ref": "thunderchicken/explore-data", "kernel_id": "61374"}, {"ref": "thunderchicken/notebook-761c9679c0dd1a5077b2", "kernel_id": "61377"}, {"ref": "thunderchicken/notebook-b566fd1120c06ed32819", "kernel_id": "61378"}, {"ref": "thunderchicken/notebook-71131a7e08447ce4e292", "kernel_id": "61379"}, {"ref": "thunderchicken/notebook-fb50d905613f073224f6", "kernel_id": "61556"}, {"ref": "laurae2/ultra-fast-sql-has-searched-books", "kernel_id": "68593"}, {"ref": "talyakar/notebook-626fc850addfa7b25064", "kernel_id": "58272"}, {"ref": "talyakar/predict-hotel-type-with-pandas", "kernel_id": "58249"}, {"ref": "talyakar/notebook-bc9748bf768584bbc52e", "kernel_id": "58353"}, {"ref": "talyakar/notebook-028a5732369ab4d7aff8", "kernel_id": "58630"}, {"ref": "talyakar/notebook-4ad91c73be75f88afb18", "kernel_id": "60362"}, {"ref": "talyakar/notebook-a823839fcc073075500f", "kernel_id": "60358"}, {"ref": "talyakar/notebook-35e0ff07089fe5d3c538", "kernel_id": "60359"}, {"ref": "talyakar/notebook-a131a883edf2075c886f", "kernel_id": "61101"}, {"ref": "talyakar/test2", "kernel_id": "61054"}, {"ref": "talyakar/notebook-302ad63e45319244b54f", "kernel_id": "61055"}, {"ref": "talyakar/notebook-1da4468d017737a4fead", "kernel_id": "60762"}, {"ref": "sanjaykumar1625/explore-expedia-search-data-10dc64df", "kernel_id": "132708"}, {"ref": "sanjaykumar1625/explore-expedia-search-data-2e4785b4", "kernel_id": "132710"}, {"ref": "sanjaykumar1625/explore-expedia-search-data-c632fbde", "kernel_id": "117236"}, {"ref": "sanjaykumar1625/explore-expedia-search-data-aa692bcb", "kernel_id": "123891"}, {"ref": "sanjaykumar1625/the-locations-puzzle-2ddb31c1", "kernel_id": "122787"}, {"ref": "sanjaykumar1625/notebook6b4ea4706c", "kernel_id": "114609"}, {"ref": "ma350365879/hotel-country", "kernel_id": "61717"}, {"ref": "kimiandj/predict-hotel-type-with-pandas", "kernel_id": "65651"}, {"ref": "seanstorey/expedia-ss-1", "kernel_id": "66388"}, {"ref": "seanstorey/valium-1-ss", "kernel_id": "69863"}, {"ref": "null5432/notebook-9f3ab54553807febbdca", "kernel_id": "57085"}, {"ref": "null5432/notebook-5ae2d01b6496a7a406bb", "kernel_id": "57086"}, {"ref": "ibnvakbar/predict-hotel-type-with-pandas", "kernel_id": "67687"}, {"ref": "ibnvakbar/notebook-39e94f4a25c85e90285f", "kernel_id": "60059"}, {"ref": "sagol79/notebook-82ffdb0f5bc88745880d", "kernel_id": "57667"}, {"ref": "claudioe/notebook-ef15a127889d75ed5b14", "kernel_id": "67930"}, {"ref": "isaacmoore7/predict-hotel-type-with-pandas", "kernel_id": "60385"}, {"ref": "mk2759/notebook-85b477a444f345fcd5bb", "kernel_id": "60866"}, {"ref": "mk2759/notebook-6b5b457f3839c63c80e8", "kernel_id": "60867"}, {"ref": "mauriciovidalxc/teste", "kernel_id": "60351"}, {"ref": "yuraka/notebook-c540d9c95fcac27df32b", "kernel_id": "55605"}, {"ref": "jgambier/predict-hotel-type-with-pandas", "kernel_id": "58797"}, {"ref": "courivar/notebook-e0e32cd16aef3817dd1d", "kernel_id": "54807"}, {"ref": "courivar/inspect-data", "kernel_id": "54783"}, {"ref": "ranvir/practice1", "kernel_id": "58671"}, {"ref": "imaginationsuper/predict-hotel-type-with-pandas", "kernel_id": "76415"}, {"ref": "mentalistic/notebook-c184a2b2493f11da5ece", "kernel_id": "65782"}, {"ref": "cl3390/notebook85d67a33c3", "kernel_id": "116392"}, {"ref": "wallehldt/notebook-d100a3f3588eb8d5a582", "kernel_id": "56431"}, {"ref": "wallehldt/testsaa", "kernel_id": "56432"}, {"ref": "eunjoole/trial1", "kernel_id": "69774"}, {"ref": "eunjoole/notebook-bef83f7a9a3b2804540b", "kernel_id": "69771"}, {"ref": "eunjoole/trial", "kernel_id": "69987"}, {"ref": "jmhehir/latent-destination-features", "kernel_id": "65527"}, {"ref": "paulorzp/ehr-1", "kernel_id": "68412"}, {"ref": "jahanpour/predict-hotel-type-with-pandas", "kernel_id": "171587"}, {"ref": "linsam/notebook-8694553d12fcf26afd35", "kernel_id": "68650"}, {"ref": "arthurlu/notebook-bbf1d5abcb1615055a0f", "kernel_id": "64064"}, {"ref": "arthurlu/notebook-add9f8928f01277946ea", "kernel_id": "64066"}, {"ref": "dariusalaska/expedia-adaboost", "kernel_id": "67554"}, {"ref": "dariusalaska/notebook-c55b7529ef44d1efdecc", "kernel_id": "67556"}, {"ref": "vijayvcr/notebook-396a379a759cf4170413", "kernel_id": "57541"}, {"ref": "grasspot/ehr-recom", "kernel_id": "70139"}, {"ref": "grasspot/epd-ex", "kernel_id": "68485"}, {"ref": "grasspot/valium-2", "kernel_id": "68471"}, {"ref": "darkria/notebook-96f13949a6b782cc619b", "kernel_id": "70875"}, {"ref": "darkria/notebook-d29ee57ab0de4d689c85", "kernel_id": "70876"}, {"ref": "darkria/test3", "kernel_id": "70877"}, {"ref": "darkria/notebook-117864e7fb7f826861f2", "kernel_id": "70881"}, {"ref": "darkria/explore-data", "kernel_id": "70846"}, {"ref": "darkria/notebook-a7d7c1bfed85b3e8b619", "kernel_id": "70848"}, {"ref": "darkria/notebook-114092da7b2c73678d95", "kernel_id": "70849"}, {"ref": "darkria/test-note", "kernel_id": "70850"}, {"ref": "darkria/notebook-df5a034d0cc8c31ee667", "kernel_id": "70862"}, {"ref": "darkria/testagain", "kernel_id": "70863"}, {"ref": "darkria/testagain-and-again", "kernel_id": "70864"}, {"ref": "darkria/test2", "kernel_id": "71565"}, {"ref": "britney/notebook-5b6fd12fa75c1e9caae6", "kernel_id": "71555"}, {"ref": "britney/expedia-solutions", "kernel_id": "68436"}, {"ref": "britney/notebook-7e452d03e47037ec8073", "kernel_id": "68441"}, {"ref": "britney/expedia-test", "kernel_id": "68442"}, {"ref": "britney/notebook-1bae32bfbb7be6c5f9ef", "kernel_id": "68669"}, {"ref": "ollystyles/notebook-f686b720da7b006683b6", "kernel_id": "56671"}, {"ref": "sunlchk/notebook-ed96277652b9b697d6c8", "kernel_id": "55451"}, {"ref": "good88/notebook-f74908edafe3183b3503", "kernel_id": "65802"}, {"ref": "good88/notebook-1be0ffa530cf662e2433", "kernel_id": "65799"}, {"ref": "eliotbarr/valium-1111", "kernel_id": "66293"}, {"ref": "myhshirley/notebook-ea45ed53209306cd5bd6", "kernel_id": "62641"}, {"ref": "nettrer/ehr-recom", "kernel_id": "70118"}, {"ref": "nettrer/notebook-72d0260b372b46996d36", "kernel_id": "67731"}, {"ref": "nettrer/predict-hotel-type-with-pandas", "kernel_id": "67732"}, {"ref": "nettrer/notebook-e023c93c33b8ff76a194", "kernel_id": "67747"}, {"ref": "sino30535/notebook-a8b9b240929c031483cd", "kernel_id": "64689"}, {"ref": "sino30535/expedia-script-1", "kernel_id": "64690"}, {"ref": "shaunmeister/notebook-8f88548697c9a3d95282", "kernel_id": "55490"}, {"ref": "shaunmeister/firsttest", "kernel_id": "55493"}, {"ref": "hhllcks/notebook-ada5815c2043fb3b9968", "kernel_id": "61757"}, {"ref": "scottwylie/predict-hotel-type-with-pandas", "kernel_id": "60757"}, {"ref": "shaguftaazad/notebook-3396e6574710d24b73b3", "kernel_id": "72077"}, {"ref": "juchul/valium-2", "kernel_id": "68461"}, {"ref": "hycu201401055/apr-23", "kernel_id": "58923"}, {"ref": "hycu201401055/hosang-practice", "kernel_id": "64496"}, {"ref": "hycu201401055/notebook-5ac75ef4f2b761cc40b2", "kernel_id": "65543"}, {"ref": "hycu201401055/hosang-practice2", "kernel_id": "65571"}, {"ref": "hycu201401055/valium-1111", "kernel_id": "66427"}, {"ref": "hycu201401055/ehr-2", "kernel_id": "66111"}, {"ref": "hycu201401055/hosang-practice8", "kernel_id": "66124"}, {"ref": "hycu201401055/2-only", "kernel_id": "65909"}, {"ref": "hycu201401055/hosang-practice5", "kernel_id": "65827"}, {"ref": "hycu201401055/mmys-3", "kernel_id": "68487"}, {"ref": "hycu201401055/hosang-practice11", "kernel_id": "68492"}, {"ref": "hycu201401055/valium-2", "kernel_id": "68324"}, {"ref": "hycu201401055/mmys-3-v2", "kernel_id": "68728"}, {"ref": "hycu201401055/hosang-practice-12", "kernel_id": "68561"}, {"ref": "hycu201401055/mmys-4", "kernel_id": "69136"}, {"ref": "kyungkuk/ehr-recom", "kernel_id": "69681"}, {"ref": "kyungkuk/trial-2", "kernel_id": "67460"}, {"ref": "kyungkuk/expedia-test", "kernel_id": "59150"}, {"ref": "jojunoo/leakage-solution", "kernel_id": "61247"}, {"ref": "leekendo/notebook-ecfe63d74752e6624ee1", "kernel_id": "60321"}, {"ref": "leekendo/notebook-8a5769f7464f14a83124", "kernel_id": "60457"}, {"ref": "leekendo/notebook-a7f0ca29e6fd6c6a97dc", "kernel_id": "60464"}, {"ref": "leekendo/notebook-f0cef0c859061b0135a6", "kernel_id": "61061"}, {"ref": "leekendo/notebook-1b2bb94aaddf74700868", "kernel_id": "61066"}, {"ref": "leekendo/notebook-797fbda48babf5de26b4", "kernel_id": "61053"}, {"ref": "wizsid/notebookef3e91eaa4", "kernel_id": "239235"}, {"ref": "youngminf/notebook-868c673a0adb5584f609", "kernel_id": "61707"}, {"ref": "jlrivero60/predict-hotel-type-with-pandas", "kernel_id": "63518"}, {"ref": "hilopong/test-20160501", "kernel_id": "59144"}, {"ref": "jatinjansari/notebook-71c88a6ca20c27a0e608", "kernel_id": "54753"}, {"ref": "pas5062/jerometest", "kernel_id": "57999"}, {"ref": "flashb/notebook-87218311215466825165", "kernel_id": "65678"}, {"ref": "klepacz/notebook-c97271fa888b11968e5c", "kernel_id": "56134"}, {"ref": "klepacz/expedia-begining", "kernel_id": "55595"}, {"ref": "dsuser/notebook-122d78169689a81660ed", "kernel_id": "54317"}, {"ref": "rohangirotra/notebook-5131a3c633113b2b808d", "kernel_id": "66460"}, {"ref": "rohangirotra/notebook-380d61d411343f9bad94", "kernel_id": "66266"}, {"ref": "rohangirotra/notebook-bc656cee3520a5e6cf5d", "kernel_id": "66273"}, {"ref": "rohangirotra/notebook-041103e592858d23a731", "kernel_id": "66274"}, {"ref": "dukebody/testing-a-py", "kernel_id": "68756"}, {"ref": "scob888/ehr-1", "kernel_id": "66714"}, {"ref": "scob888/valium-1111", "kernel_id": "66499"}, {"ref": "scob888/epd-ex", "kernel_id": "68951"}, {"ref": "scob888/predict-hotel-type-with-pandas", "kernel_id": "58045"}, {"ref": "scob888/notebook-19a096ed7d932bc4da1b", "kernel_id": "57963"}, {"ref": "scob888/notebook-debf489ab8ed6d4bf9e9", "kernel_id": "57779"}, {"ref": "scob888/forked-notebook-2", "kernel_id": "57809"}, {"ref": "scob888/first-notebook-1", "kernel_id": "57801"}, {"ref": "minyuds/notebook-56426f8a7cf3b2f11484", "kernel_id": "61650"}, {"ref": "minyuds/notebook-c165c5df56575c886984", "kernel_id": "61651"}, {"ref": "minyuds/notebook-6b8b21f2b621d47547f2", "kernel_id": "61603"}, {"ref": "minyuds/hotel-recommendations", "kernel_id": "61604"}, {"ref": "limyongteag/explore-data", "kernel_id": "65343"}, {"ref": "limyongteag/explore-expedia-search-data", "kernel_id": "68734"}, {"ref": "limyongteag/notebook-b17ed0d9cc41a9a5ce7b", "kernel_id": "68452"}, {"ref": "limyongteag/notebook-a3991a058a3ac945fe86", "kernel_id": "68454"}, {"ref": "limyongteag/1000-15", "kernel_id": "68481"}, {"ref": "limyongteag/notebook-387e9164980306eadb1e", "kernel_id": "68501"}, {"ref": "limyongteag/notebook-746c16494a084186adbc", "kernel_id": "68502"}, {"ref": "limyongteag/mmys-3", "kernel_id": "68477"}, {"ref": "jihyeseo/expedia-eda", "kernel_id": "957888"}, {"ref": "nlbao95/notebook-3b894cf4c378dc91e024", "kernel_id": "65565"}, {"ref": "nlbao95/predict-hotel-type-with-pandas", "kernel_id": "66242"}, {"ref": "nlbao95/notebook-2d8580586cc4b90ea432", "kernel_id": "66243"}, {"ref": "andreashsieh/valium-1", "kernel_id": "69874"}, {"ref": "westrik/notebook-a31b60c45a2b69cce2ff", "kernel_id": "54352"}, {"ref": "alexpl292/explore-data", "kernel_id": "54817"}, {"ref": "alexpl292/notebook-50259ed06496b5a68ab6", "kernel_id": "54818"}, {"ref": "w95wayne10/notebook-9c6b8c50650949efc8ee", "kernel_id": "70212"}, {"ref": "w95wayne10/notebook-4cb05c520ccc12153fa3", "kernel_id": "70213"}, {"ref": "orisphere/notebook-b35d6c9949d8acc3df99", "kernel_id": "64776"}, {"ref": "orisphere/notebook-f1572531819ee2bf885c", "kernel_id": "64750"}, {"ref": "orisphere/notebook-012d8d8349503c40e215", "kernel_id": "64751"}, {"ref": "geelin/notebook-9715a917e56d8215b7a6", "kernel_id": "69733"}, {"ref": "geelin/ehr-notophotel", "kernel_id": "69395"}, {"ref": "marquesjgo/testy", "kernel_id": "55179"}, {"ref": "marquesjgo/notebook-88224384919db45e9df3", "kernel_id": "55187"}, {"ref": "fieldtheory/predict-hotel-type-with-pandas", "kernel_id": "69039"}, {"ref": "fieldtheory/notebook-1b1eb168c926c616b016", "kernel_id": "69260"}, {"ref": "bowenliu/interactive-booking-trends", "kernel_id": "66812"}, {"ref": "irinamaxds/irina", "kernel_id": "61886"}, {"ref": "irinamaxds/pca-with-expedia-destinations-csv", "kernel_id": "70283"}, {"ref": "irinamaxds/notebook-58a28807c90c56fe95d0", "kernel_id": "70033"}, {"ref": "irinamaxds/notebook-d551c0999354d02c7544", "kernel_id": "66410"}, {"ref": "irinamaxds/notebook-ca6a9b75059301ae7065", "kernel_id": "69073"}, {"ref": "irinamaxds/notebook-a68b3453a05025d33326", "kernel_id": "68443"}, {"ref": "cutddm/leakage-solution", "kernel_id": "64590"}, {"ref": "cutddm/predict-hotel-type-with-pandas", "kernel_id": "64609"}, {"ref": "harrybrown/predict-hotel-type-with-pandas", "kernel_id": "67907"}, {"ref": "kaelchan/notebook-44a93e8904646268fb35", "kernel_id": "64605"}, {"ref": "kaelchan/leakage-solution", "kernel_id": "65356"}, {"ref": "kaelchan/notebook-97f93a9bf08b3b57a338", "kernel_id": "65370"}, {"ref": "kaelchan/yotta-s-notebook-for-expedia", "kernel_id": "65364"}, {"ref": "kaelchan/notebook-19e2f24e67256b2de7cc", "kernel_id": "65362"}, {"ref": "kaelchan/notebook-d7cb4f5ac8dc38a7220b", "kernel_id": "66577"}, {"ref": "kaelchan/notebook-dd8f79aef7a42f6ad63b", "kernel_id": "67411"}, {"ref": "kaelchan/notebook-454a3c674a53f3b76f66", "kernel_id": "67412"}, {"ref": "shahnawazakhtar/the-script-edited", "kernel_id": "69941"}, {"ref": "shahnawazakhtar/ehr-recom", "kernel_id": "70261"}, {"ref": "michael1988/predict-hotel-type-with-pandas", "kernel_id": "69461"}, {"ref": "gilgarad/notebook-aaf28a894905c779974b", "kernel_id": "70096"}, {"ref": "jinmm1992/notebook-b682c9dca0f0eaf6c639", "kernel_id": "60200"}, {"ref": "jinmm1992/notebook-ea311530c1f13f384093", "kernel_id": "60201"}, {"ref": "xalissa/notebook-abb6b0e7d1a5f865232f", "kernel_id": "55697"}, {"ref": "mhouacine/notebook-1a703a3347b0bbc4cf85", "kernel_id": "54805"}, {"ref": "linhvannguyen/predict-hotel-type-with-pandas", "kernel_id": "60765"}, {"ref": "linhvannguyen/hotel-country", "kernel_id": "61644"}, {"ref": "haifnd/notebookd5221e60fe", "kernel_id": "145994"}, {"ref": "manxing/notebook-99bbc254f07db6b119f0", "kernel_id": "60140"}, {"ref": "satchmo/notebook-bb976b5d6209709f93b1", "kernel_id": "54286"}, {"ref": "ziyuanli/notebook-d4be8a17e79312538c21", "kernel_id": "62249"}, {"ref": "ziyuanli/notebook-88e1908c89eb58eaa6f3", "kernel_id": "66822"}, {"ref": "xkz0626/notebook-ba54c971c37d4d9216c5", "kernel_id": "65724"}, {"ref": "mahendrasigh/notebook-20b20dbc32ef75efc8af", "kernel_id": "56917"}, {"ref": "mahendrasigh/expedia", "kernel_id": "56918"}, {"ref": "varunsinaster007/notebook4bdd48c764", "kernel_id": "128541"}, {"ref": "alwayssai/krish-3", "kernel_id": "66549"}, {"ref": "ivanochkin/notebook-ea86908d2e523bb5fd71", "kernel_id": "63261"}, {"ref": "ivanochkin/explore-data", "kernel_id": "63228"}, {"ref": "sprutt/notebook-22244c136018633c6244", "kernel_id": "68617"}, {"ref": "matteom/notebook-68a1a8c388dd59401c9f", "kernel_id": "54914"}, {"ref": "matteom/notebook-cf42260c5290b482b6db", "kernel_id": "54915"}, {"ref": "dad0bob/predict-hotel-type-with-pandas", "kernel_id": "60011"}, {"ref": "anandut2001/hotel-recommendations", "kernel_id": "58182"}, {"ref": "dujung/testme", "kernel_id": "68229"}, {"ref": "prabhatbara/notebook-5edd7314129e7014a770", "kernel_id": "54498"}, {"ref": "brookekoo/notebook-9f99e7dacb15846a9803", "kernel_id": "84990"}, {"ref": "brookekoo/notebook0168931943", "kernel_id": "88137"}, {"ref": "dariyush/efr01", "kernel_id": "67414"}, {"ref": "dariyush/notebook-12c6e250fcb90d8fafed", "kernel_id": "66261"}, {"ref": "dariyush/notebook-6b796ad0e31936aa4102", "kernel_id": "68217"}, {"ref": "dariyush/notebook-2b38a3e4909b151d6439", "kernel_id": "67973"}, {"ref": "dariyush/ehr-uidc", "kernel_id": "69463"}, {"ref": "donatmartin/notebook-0d55ae31afc1bf4e9f94", "kernel_id": "65633"}, {"ref": "jyyang/notebook-7bd7f4fccc02e068eb86", "kernel_id": "65427"}, {"ref": "jyyang/ehr-1", "kernel_id": "67037"}, {"ref": "jyyang/simple-validation", "kernel_id": "66463"}, {"ref": "javiddadashkarimi/notebook-297de88242c74c0c1b3f", "kernel_id": "55054"}, {"ref": "baonhan/notebook-0d8ee150b6160c930f1a", "kernel_id": "54754"}, {"ref": "chaibimehdi/explore-data", "kernel_id": "66707"}, {"ref": "chaibimehdi/notebook-4ab19620b31a37f99ad9", "kernel_id": "66708"}, {"ref": "chaibimehdi/notebook-024ed1ce368fecf226a1", "kernel_id": "66710"}, {"ref": "sanghamitra/xpedia", "kernel_id": "54561"}, {"ref": "liu305/notebook-0467817af7028bc5a143", "kernel_id": "62347"}, {"ref": "liu305/notebook-a041c65e9bfee7832bc9", "kernel_id": "62348"}, {"ref": "spacesda/irina", "kernel_id": "69439"}, {"ref": "spacesda/time-dimension", "kernel_id": "68515"}, {"ref": "kozgokhan/notebook-dea52a783bb56f93a181", "kernel_id": "54635"}, {"ref": "nikilaravi/firstkagglescript", "kernel_id": "70127"}, {"ref": "harveygocuay/notebook-427ae999379f12dd0433", "kernel_id": "61271"}, {"ref": "luvsword/notebook-596f2b06cd4e90326217", "kernel_id": "58174"}, {"ref": "luvsword/notebook-1e22e9d1e3ca2d2a9e3d", "kernel_id": "60323"}, {"ref": "luvsword/notebook-97f10a13903f6d6919bf", "kernel_id": "60324"}, {"ref": "luvsword/exam-test", "kernel_id": "60325"}, {"ref": "luvsword/notebook-e208c328f5fc27044628", "kernel_id": "58960"}, {"ref": "luvsword/predict-hotel-type-with-pandas", "kernel_id": "58955"}, {"ref": "clyyuanzi/notebook-f62e3a90973fb1ff5825", "kernel_id": "61760"}, {"ref": "zimisu/notebook-2cd6520f1714abe7fc70", "kernel_id": "69527"}, {"ref": "zimisu/leakage-solution", "kernel_id": "69531"}, {"ref": "zimisu/notebook-33b35e242c74d943c8cf", "kernel_id": "71841"}, {"ref": "zimisu/notebook-fbe2be904883aa366929", "kernel_id": "71842"}, {"ref": "zimisu/explore-data", "kernel_id": "71838"}, {"ref": "mafux777/exped-1", "kernel_id": "54583"}, {"ref": "mafux777/py-ex-1", "kernel_id": "54585"}, {"ref": "rdeveloper/notebook-1815bb999884f5eeb1e0", "kernel_id": "54758"}, {"ref": "rdeveloper/notebook-3e092772aa4a50ef240c", "kernel_id": "54759"}, {"ref": "blownhither/notebook-e8afdf568ba93ca21aa1", "kernel_id": "56018"}, {"ref": "compsciman/notebook-3bf32f83b3fa3cd86514", "kernel_id": "59921"}, {"ref": "klaushaozhang/two-step-fitting", "kernel_id": "64616"}, {"ref": "tsaoshamie/predict-hotel-type-with-pandas", "kernel_id": "58133"}, {"ref": "tsaoshamie/expedia-begining", "kernel_id": "58137"}, {"ref": "tsaoshamie/notebook-391937fde55fc019c299", "kernel_id": "61839"}, {"ref": "tsaoshamie/notebook-1a81595a28b8f6611165", "kernel_id": "59960"}, {"ref": "tsaoshamie/notebook-3cac1cd94930c1dea8c2", "kernel_id": "59961"}, {"ref": "tsaoshamie/pandas-version-of-most-popular-hotels", "kernel_id": "59957"}, {"ref": "tsaoshamie/notebook-a9ccaf9cc157bf8d60cc", "kernel_id": "59958"}, {"ref": "tsaoshamie/notebook-66f551d575fb02fb3bec", "kernel_id": "60155"}, {"ref": "tsaoshamie/notebook-7a5da55ef77184875250", "kernel_id": "60164"}, {"ref": "tsaoshamie/notebook-16c73c5f8188cc63ea3b", "kernel_id": "60236"}, {"ref": "tsaoshamie/notebook-56d87897a8d2be1af9dc", "kernel_id": "60410"}, {"ref": "tsaoshamie/notebook-19b1ecd56283d517a11e", "kernel_id": "65562"}, {"ref": "tsaoshamie/notebook-fa2948fad4822655a1f6", "kernel_id": "63773"}, {"ref": "tsaoshamie/notebook-631c93acbb3e87ecebed", "kernel_id": "63843"}, {"ref": "tsaoshamie/notebook-f153b85fb48e0c6c2150", "kernel_id": "62597"}, {"ref": "tsaoshamie/notebook-520da34ab13affe290c8", "kernel_id": "62588"}, {"ref": "tsaoshamie/hotel2", "kernel_id": "62627"}, {"ref": "tsaoshamie/notebook-28ad19567791af096516", "kernel_id": "62600"}, {"ref": "lck982/predict-hotel-type-with-pandas", "kernel_id": "68793"}, {"ref": "tudormorar/first-notebook", "kernel_id": "55593"}, {"ref": "andreasgruber/notebook-269db1cd56df1d994a07", "kernel_id": "69427"}, {"ref": "andreasgruber/valiudfsd", "kernel_id": "67785"}, {"ref": "andreasgruber/valifdsgsdfg", "kernel_id": "67287"}, {"ref": "andreasgruber/notebook-f566041c3527dd3b4934", "kernel_id": "65683"}, {"ref": "andreasgruber/valium-1", "kernel_id": "65685"}, {"ref": "alexbzh/notebook-a2200d5ede8b63a0fd09", "kernel_id": "58025"}, {"ref": "alexbzh/notebook-1a287a38b80921d60532", "kernel_id": "58026"}, {"ref": "drasko/predict-hotel-type-with-pandas", "kernel_id": "57737"}, {"ref": "drasko/notebook-8cf17c49bb73f0ede8c8", "kernel_id": "56696"}, {"ref": "drasko/2nd-r-try", "kernel_id": "56780"}, {"ref": "drasko/notebook-48be312672eccc6923d1", "kernel_id": "56796"}, {"ref": "drasko/notebook-82d93cf45a1e90442d45", "kernel_id": "57038"}, {"ref": "drasko/1st-python-predicition", "kernel_id": "57210"}, {"ref": "drasko/notebook-aae674e450de760cac17", "kernel_id": "55970"}, {"ref": "drasko/notebook-6b492a7be32c780e13bb", "kernel_id": "55900"}, {"ref": "drasko/notebook-ffed89d31611d0a0fef6", "kernel_id": "55901"}, {"ref": "drasko/1st-r-try", "kernel_id": "55896"}, {"ref": "drasko/notebook-67657cc5af358831ce19", "kernel_id": "56419"}, {"ref": "drasko/notebook-6becae1678cb1c156395", "kernel_id": "56552"}, {"ref": "drasko/1st-python-try", "kernel_id": "56477"}, {"ref": "drasko/notebook-e7193328ac70b802bb2f", "kernel_id": "63540"}, {"ref": "wangjy1112/hotel-recommedation", "kernel_id": "76925"}, {"ref": "scsh2010/predict-hotel-type-with-pandas", "kernel_id": "62456"}, {"ref": "scsh2010/notebook-c2b471ee829e3649d933", "kernel_id": "63144"}, {"ref": "clarkpeng/notebook-da185d5abff5b3a4b37a", "kernel_id": "56178"}, {"ref": "tylermarts/notebook-743435a82a576545fca1", "kernel_id": "56298"}, {"ref": "tangweipku/notebook-673eae602e9ebab0cc54", "kernel_id": "66643"}, {"ref": "tangweipku/notebook-f9e4d9fafc49a2757850", "kernel_id": "66644"}, {"ref": "remi3853/test-notebook", "kernel_id": "60330"}, {"ref": "aysjajohnson/notebook-92cb2445c699efe9882c", "kernel_id": "59555"}, {"ref": "malamute/expedia-data-exploration", "kernel_id": "56858"}, {"ref": "cristinabudea/notebook-12f874d2bfc9d15b6073", "kernel_id": "77020"}, {"ref": "niladri18/usinng-logistic-regression", "kernel_id": "64704"}, {"ref": "niladri18/logistic-regression", "kernel_id": "64756"}, {"ref": "niladri18/load-data", "kernel_id": "64757"}, {"ref": "niladri18/notebook-15bf514c0ceb65a86b67", "kernel_id": "64742"}, {"ref": "niladri18/notebook-949c0ace2490bac0817d", "kernel_id": "64785"}, {"ref": "bingzz/notebook-f2181f160b345fd4b5a7", "kernel_id": "67153"}, {"ref": "mogili/notebook-10e5bc98375e80e16b23", "kernel_id": "58027"}, {"ref": "ssk1994/notebook-13a6912fc937e8cec188", "kernel_id": "62980"}, {"ref": "ssk1994/notebook-4c85de90d25dc3721176", "kernel_id": "65241"}, {"ref": "hcqhwanda/predict-hotel-type-with-pandas", "kernel_id": "58095"}, {"ref": "szbboss/notebook-6f5eaaa2dc8b657ae164", "kernel_id": "60440"}, {"ref": "pierceyeh/notebook-d87fc0a38566db9d9f0c", "kernel_id": "67962"}, {"ref": "linyaming/notebook-25946a3e0868b438bc06", "kernel_id": "64613"}, {"ref": "sochiseung/notebook-861ca7807958a30b3f74", "kernel_id": "59720"}, {"ref": "sochiseung/notebook-7a16665f867e98c0ed2f", "kernel_id": "64281"}, {"ref": "sochiseung/notebook-baa002884256d3c62817", "kernel_id": "64282"}, {"ref": "js3611/notebook-082d761768671f2e4144", "kernel_id": "66356"}, {"ref": "carchana/notebook-08761e646faa5ef91a76", "kernel_id": "58817"}, {"ref": "carchana/notebook-9082f9bde85c8d77d117", "kernel_id": "58800"}, {"ref": "carchana/notebook-b37190d8dfa59aaab5b2", "kernel_id": "60685"}, {"ref": "ductricse/notebook-ef6d8e7a089f43f44a6e", "kernel_id": "61467"}, {"ref": "ductricse/first", "kernel_id": "61474"}, {"ref": "ductricse/notebook-640dacddb6c6a2969269", "kernel_id": "61475"}, {"ref": "hyshenml/notebook-f99a11c923bac5d77788", "kernel_id": "59151"}, {"ref": "hyshenml/notebook-2e306b40c224c3581c45", "kernel_id": "59157"}, {"ref": "hyshenml/expedia-test1", "kernel_id": "59158"}, {"ref": "hyshenml/notebook-5d44c508671f61c3e6f7", "kernel_id": "62708"}, {"ref": "csaszizoltan/notebook-95c9fefd4edac1d0f885", "kernel_id": "61916"}, {"ref": "csaszizoltan/notebook-c905aba2d37f3ffb06eb", "kernel_id": "61918"}, {"ref": "dreaming/notebook-c6e703efe0170b64beea", "kernel_id": "65772"}, {"ref": "opeoluwabanwo/predict-hotel-type-with-pandas", "kernel_id": "68805"}, {"ref": "smalpani/notebook-d4ed70d2beddc71ae2f6", "kernel_id": "59918"}, {"ref": "proverbialrabbithole/notebook-ebb0a8d636c58d86bd83", "kernel_id": "59965"}, {"ref": "myf0111/notebook-965f355c550a64bd06c0", "kernel_id": "60192"}, {"ref": "myf0111/expedia-hotel-cluster-predictions", "kernel_id": "60560"}, {"ref": "arpita61/notebook-276aebe5907e4363a5de", "kernel_id": "60516"}, {"ref": "arpita61/notebook-19e6906510c8c4870d8f", "kernel_id": "60517"}, {"ref": "arpita61/notebook-22cbd3525860478ba084", "kernel_id": "60518"}, {"ref": "arpita61/notebook-d95c40cbf66c6d552897", "kernel_id": "60274"}, {"ref": "arpita61/notebook-72ec40eb91fb9cab6fed", "kernel_id": "60279"}, {"ref": "dtkaczyk/notebook-00b5b685eb119cfd9012", "kernel_id": "60380"}, {"ref": "mo1975/notebook-a96068b119f37dab8c6b", "kernel_id": "60712"}, {"ref": "yangdx/explore-data", "kernel_id": "64868"}, {"ref": "bagriaditya/minibatchkmeans", "kernel_id": "62469"}, {"ref": "bagriaditya/notebook-b5b3758d72373a15c5e8", "kernel_id": "62470"}, {"ref": "bagriaditya/notebook-f664ecea42a5e51a6eac", "kernel_id": "62442"}, {"ref": "bagriaditya/withall", "kernel_id": "62571"}, {"ref": "bagriaditya/child-rooms-adults1", "kernel_id": "60431"}, {"ref": "bagriaditya/notebook-cfcbca18a0782fb7f9a7", "kernel_id": "60658"}, {"ref": "bagriaditya/notebook-35d545b04544453e1e29", "kernel_id": "60689"}, {"ref": "bagriaditya/notebook-8d32324c8843d483576a", "kernel_id": "60909"}, {"ref": "bagriaditya/notebook-e60224c4bbda64d2fb49", "kernel_id": "60912"}, {"ref": "bagriaditya/notebook-0502e82ab4af62dde132", "kernel_id": "60906"}, {"ref": "doscaras/notebook-824c80638f511150a252", "kernel_id": "60294"}, {"ref": "doscaras/predict-hotel-type-with-pandas", "kernel_id": "60291"}, {"ref": "rdekou/explore-data", "kernel_id": "63081"}, {"ref": "rdekou/notebook-46f2db1cd77d58f1df69", "kernel_id": "62016"}, {"ref": "testimate/700-20", "kernel_id": "60903"}, {"ref": "wishvaherath/expedia-test", "kernel_id": "60462"}, {"ref": "itsmeumesh/notebookf9dd8d1c01", "kernel_id": "102899"}, {"ref": "antarlina/notebook-d3f882646afc04f19bf9", "kernel_id": "60514"}, {"ref": "antarlina/notebook-6ba3f39b22b7c1c20425", "kernel_id": "61730"}, {"ref": "antarlina/predict-hotel", "kernel_id": "60744"}, {"ref": "antarlina/notebook-212b78a16f6123a58aba", "kernel_id": "60740"}, {"ref": "antarlina/notebook-4c1f65a6649e9a2f7834", "kernel_id": "60741"}, {"ref": "chifa01/notebook-1ba02f0f27e8454f3693", "kernel_id": "67479"}, {"ref": "chifa01/notebook-981986190b5d66cbfc4c", "kernel_id": "67224"}, {"ref": "chifa01/notebook-0ebba918de3d784adad4", "kernel_id": "67225"}, {"ref": "chifa01/notebook-6cc5978b3a45fbdd5535", "kernel_id": "67222"}, {"ref": "chifa01/explore-data", "kernel_id": "67218"}, {"ref": "chifa01/seaborn", "kernel_id": "67219"}, {"ref": "willhappen/predict-hotel-type-with-pandas", "kernel_id": "60692"}, {"ref": "willhappen/notebook-62339bebe610dcec029a", "kernel_id": "60693"}, {"ref": "sandoronodi/example", "kernel_id": "61133"}, {"ref": "dot277/explore-data", "kernel_id": "63966"}, {"ref": "jameskerns/notebook-d0651478804302569040", "kernel_id": "61435"}, {"ref": "showeru/expedia", "kernel_id": "62004"}, {"ref": "liuyihunter/ly-test", "kernel_id": "67175"}, {"ref": "himanshu14/predict-hotel-type-with-pandas", "kernel_id": "61258"}, {"ref": "dilipkomar/expandas", "kernel_id": "64257"}, {"ref": "dilipkomar/notebook-5e9f691d28d8977118a1", "kernel_id": "64263"}, {"ref": "dilipkomar/notebook-c4ae7e20050971a21894", "kernel_id": "64270"}, {"ref": "dilipkomar/notebook-d3d05c950c78485a1c9b", "kernel_id": "68079"}, {"ref": "dilipkomar/mmys-3", "kernel_id": "69285"}, {"ref": "haoshuai/predict-hotel-type-with-pandas", "kernel_id": "62830"}, {"ref": "tascor/explore-data", "kernel_id": "65276"}, {"ref": "wangmeihuachina/notebook-17ea34379c4f6949849c", "kernel_id": "62012"}, {"ref": "jasonlin1026/my-first-test", "kernel_id": "70351"}, {"ref": "jasonlin1026/first-python", "kernel_id": "70352"}, {"ref": "murarikrishna/expedia-hotel", "kernel_id": "69147"}, {"ref": "blizzardsnowball/notebook-06908679d0bdd8b4b3b2", "kernel_id": "63844"}, {"ref": "elenae/notebook-a8a022d6cc7d6cefab76", "kernel_id": "62744"}, {"ref": "pydevhacker/notebook-6ef7b103e5e2e2ffdb29", "kernel_id": "65596"}, {"ref": "huangjx/lllll", "kernel_id": "62813"}, {"ref": "klchang/singledistancevarcluster", "kernel_id": "66770"}, {"ref": "klchang/multiplevarcluster", "kernel_id": "68675"}, {"ref": "wuxiaohui/notebook-e4e7555ed93d90c71e18", "kernel_id": "66738"}, {"ref": "mountlee/notebook-6c6a98d878e1c4c49954", "kernel_id": "65478"}, {"ref": "mountlee/notebook-29ff68419bc30091afdf", "kernel_id": "71360"}, {"ref": "mountlee/notebook-476923b4c4e5381244c8", "kernel_id": "71355"}, {"ref": "mountlee/notebook-1a119308761e848c78eb", "kernel_id": "71367"}, {"ref": "mountlee/mountleefinal", "kernel_id": "71347"}, {"ref": "mountlee/leakageehr1", "kernel_id": "71310"}, {"ref": "mountlee/mountleefinal2", "kernel_id": "71389"}, {"ref": "mountlee/notebook-33f33ec6ddc2d67e2b1d", "kernel_id": "71402"}, {"ref": "mountlee/notebook-8d7edff429d7c127f901", "kernel_id": "66501"}, {"ref": "mountlee/notebook-867b9a75b5f3f6095846", "kernel_id": "66507"}, {"ref": "mountlee/notebook-30c6ced6f473aa60d7a7", "kernel_id": "66904"}, {"ref": "mountlee/notebook-b5548b28a8ea58afd8c1", "kernel_id": "65705"}, {"ref": "mountlee/notebook-11c462a69344b0d86586", "kernel_id": "65709"}, {"ref": "mountlee/notebook-a7e9a2bf47893156e895", "kernel_id": "65828"}, {"ref": "mountlee/notebook-69082f1047c8b609e6fd", "kernel_id": "65830"}, {"ref": "mountlee/notebook-53d2550ebc614294f0dc", "kernel_id": "68455"}, {"ref": "mountlee/notebook-b8d9fd87bc9b98040840", "kernel_id": "68456"}, {"ref": "mountlee/notebook-25a2f528fc4433ba1809", "kernel_id": "68457"}, {"ref": "mountlee/leakage", "kernel_id": "68374"}, {"ref": "mountlee/notebook-d7b71b6e05b6b0a0b76a", "kernel_id": "68344"}, {"ref": "mountlee/notebook-959acc39e0671dc35e34", "kernel_id": "68266"}, {"ref": "mountlee/notebook-972ea7a7c814125b1748", "kernel_id": "68284"}, {"ref": "mountlee/hehehe", "kernel_id": "68281"}, {"ref": "mountlee/notebook-64d1b0c2a105b9834f5a", "kernel_id": "68916"}, {"ref": "mountlee/leakage3", "kernel_id": "68983"}, {"ref": "mountlee/rfclass0", "kernel_id": "67752"}, {"ref": "mountlee/notebook-9cfc193c67b22635d4cc", "kernel_id": "67538"}, {"ref": "mountlee/notebook-7eba994ec61bbe9667ed", "kernel_id": "67482"}, {"ref": "mountlee/notebook-1aac3a54b5e9f74f0c03", "kernel_id": "67466"}, {"ref": "mountlee/notebook-5cb9ba4d2544b97327f4", "kernel_id": "67426"}, {"ref": "mountlee/gbclass1", "kernel_id": "67463"}, {"ref": "mountlee/notebook-feee0c18a577a0f3a217", "kernel_id": "67455"}, {"ref": "mountlee/gbclass", "kernel_id": "67456"}, {"ref": "mountlee/notebook-6ac55ae9c0248d16f8ff", "kernel_id": "67457"}, {"ref": "mountlee/notebook-a876a07fdb6326b90bff", "kernel_id": "67458"}, {"ref": "mountlee/mountleelgb", "kernel_id": "68027"}, {"ref": "mountlee/notebook-c35460a7456b2d8d6d57", "kernel_id": "68040"}, {"ref": "mountlee/notebook-7c81d8b4742251fc8b32", "kernel_id": "68041"}, {"ref": "mountlee/leakage-gbclass-explore", "kernel_id": "67967"}, {"ref": "mountlee/notebook-8bec29ee8cd12293e934", "kernel_id": "68259"}, {"ref": "mountlee/notebook-9aa15beb7c7fdfae9882", "kernel_id": "68248"}, {"ref": "mountlee/notebook-5491163fdca05df6ecc5", "kernel_id": "68252"}, {"ref": "mountlee/notebook-b5358d5666fc600efcb9", "kernel_id": "68065"}, {"ref": "mountlee/mountleelgb2", "kernel_id": "68088"}, {"ref": "mountlee/notebook-0b556b79ff600e196de3", "kernel_id": "68131"}, {"ref": "mountlee/notebook-f6539bc4e1cd7382001d", "kernel_id": "68132"}, {"ref": "mountlee/notebook-cab6554888bd7cb25ba5", "kernel_id": "68149"}, {"ref": "mountlee/notebook-9603d60c8fd60f43bdff", "kernel_id": "68150"}, {"ref": "qihong051/training-csv-file", "kernel_id": "63013"}, {"ref": "ires775/notebook-f2144aa626ab28f68e38", "kernel_id": "63208"}, {"ref": "ires775/first-1", "kernel_id": "63209"}, {"ref": "yingni/notebook-5c200dbd4f804b7c89a6", "kernel_id": "67947"}, {"ref": "yanzhensong/notebook-60da5944191df276792a", "kernel_id": "65194"}, {"ref": "illidari/benchmark-test", "kernel_id": "63418"}, {"ref": "keisei/notebook-f876dcc5605e14732472", "kernel_id": "63395"}, {"ref": "keisei/notebook-f71c5f4693d6ff8efd9e", "kernel_id": "63397"}, {"ref": "serinabanno/notebook-4e0fa287cbf35a6f22c6", "kernel_id": "69722"}, {"ref": "simpernren/title", "kernel_id": "64207"}, {"ref": "gouyunfei/notebook-22a433026aacaf784e60", "kernel_id": "70586"}, {"ref": "gouyunfei/fortest", "kernel_id": "69192"}, {"ref": "lonstud/testt", "kernel_id": "63720"}, {"ref": "jamieneubert/testfile", "kernel_id": "65274"}, {"ref": "nmirman/leakage-solution", "kernel_id": "65296"}, {"ref": "nmirman/notebook-0cfe2a8b1cda8425c1a0", "kernel_id": "65297"}, {"ref": "nmirman/notebook-a496d47bb13e40eb8159", "kernel_id": "65298"}, {"ref": "merencelik/leakage-solution", "kernel_id": "75273"}, {"ref": "pkuliujunyu/notebook-633274791049baed6a8f", "kernel_id": "70316"}, {"ref": "pkuliujunyu/notebook-fd7d48135761e38ed790", "kernel_id": "70326"}, {"ref": "wilsbj/dest-type-id", "kernel_id": "67567"}, {"ref": "wilsbj/expedia-exploration-2", "kernel_id": "65353"}, {"ref": "wilsbj/notebook-169527da2525d34e8663", "kernel_id": "65145"}, {"ref": "wilsbj/expedia-exploration", "kernel_id": "65088"}, {"ref": "aruyer/notebook-0b2433d083bfb70bb890", "kernel_id": "82704"}, {"ref": "sdcschenzhenhao/notebook-b3e0fe09ead37ca51c3a", "kernel_id": "67809"}, {"ref": "funnyjourney/simple-validation", "kernel_id": "186805"}, {"ref": "funnyjourney/explore-expedia-search-data-0eb1c8", "kernel_id": "206423"}, {"ref": "funnyjourney/explore-expedia-search-data", "kernel_id": "130817"}, {"ref": "mittpu/notebook-f2e42a1a0a8163dec172", "kernel_id": "66900"}, {"ref": "mittpu/testing-script", "kernel_id": "66902"}, {"ref": "edwardelson/predict-hotel-type-with-pandas", "kernel_id": "66516"}, {"ref": "ravijp/predict-hotel-type-with-pandas", "kernel_id": "95584"}, {"ref": "bpburns64/notebook-ec5af80e63a5670afff9", "kernel_id": "66031"}, {"ref": "newspeak/explore-data", "kernel_id": "66591"}, {"ref": "newspeak/randomforest-test-20160418", "kernel_id": "67452"}, {"ref": "kyunbit/predict-hotel-type-with-pandas", "kernel_id": "66108"}, {"ref": "kyunbit/notebook-68435f359f9da6c05487", "kernel_id": "69632"}, {"ref": "bingxili/notebook-021e0e79621911b5d1f8", "kernel_id": "67415"}, {"ref": "ramonchu/test-00", "kernel_id": "66618"}, {"ref": "insubae/notebook-a755098e5c6dd1dc05c4", "kernel_id": "66919"}, {"ref": "insubae/notebook-0207fc672868cfdf3e1b", "kernel_id": "66920"}, {"ref": "youyou6093/notebook-ca71640a5a3dd1512dff", "kernel_id": "66944"}, {"ref": "youyou6093/predict-hotel-type-with-pandas", "kernel_id": "66860"}, {"ref": "youyou6093/notebook-756b6f93b0f80a5d1db2", "kernel_id": "66861"}, {"ref": "minh77/test-user-id", "kernel_id": "68154"}, {"ref": "minh77/leakage-solution", "kernel_id": "67848"}, {"ref": "hthannah34/notebook-8e9ea94f6bed87acd473", "kernel_id": "67062"}, {"ref": "alalehrz/notebook-e88565a549a92fa9df27", "kernel_id": "72928"}, {"ref": "flotrek/notebook-6fd6aa99e649bd4d8ea8", "kernel_id": "66990"}, {"ref": "abdulhamid/simple-validation", "kernel_id": "77751"}, {"ref": "jeffwunderman/notebook-b4b043718ad320dd0450", "kernel_id": "69044"}, {"ref": "jperezr21/notebook-359486a369fc9bc7ce8e", "kernel_id": "67692"}, {"ref": "arnau126/notebook-2998846cf8fb62bd0baa", "kernel_id": "68755"}, {"ref": "xuezx66/notebook-e98c4abb101bd58f3ff4", "kernel_id": "68249"}, {"ref": "bwsubbu/the-locations-puzzle", "kernel_id": "68025"}, {"ref": "srivastava123/notebook-540c46a391e804c76eee", "kernel_id": "68607"}, {"ref": "srivastava123/notebook-cef8ba8da11171e42766", "kernel_id": "68391"}, {"ref": "srivastava123/notebook-91cd1a449abd8a594bd0", "kernel_id": "68395"}, {"ref": "srivastava123/notebook-08fad7dececcf1888d72", "kernel_id": "68396"}, {"ref": "srivastava123/predict-hotel-type-with-pandas", "kernel_id": "68397"}, {"ref": "srivastava123/notebook-6a8abfde1efd025820a9", "kernel_id": "68398"}, {"ref": "srivastava123/sam12345", "kernel_id": "68400"}, {"ref": "lazylizi/predict-hotel-type-with-pandas", "kernel_id": "69252"}, {"ref": "lfernando/notebook-03d3763994efd040a6d1", "kernel_id": "68718"}, {"ref": "lfernando/notebook-345ef655d037c616631f", "kernel_id": "68721"}, {"ref": "lfernando/notebook-a1697f4049cb1fd059ce", "kernel_id": "68724"}, {"ref": "lfernando/notebook-a6359a9930f5103beb69", "kernel_id": "68716"}, {"ref": "lfernando/notebook-c6ae5203fc301e707ac2", "kernel_id": "68744"}, {"ref": "u4000d/notebookdbec47126a", "kernel_id": "189803"}, {"ref": "elvyna/expedia-hotel-recommendation", "kernel_id": "148247"}, {"ref": "yukihou/notebook-213f006019af0a045965", "kernel_id": "69968"}, {"ref": "yukihou/notebook-557b1e75db8fc5496557", "kernel_id": "69969"}, {"ref": "xudasmile/notebook-bd2893f2d856009822c6", "kernel_id": "70071"}, {"ref": "mukulbudania/notebook-acab5f0e8a9563ffb2f5", "kernel_id": "84857"}, {"ref": "sugiantolauw/explore-expedia-search-data", "kernel_id": "86659"}, {"ref": "sugiantolauw/interactive-booking-trends", "kernel_id": "86660"}, {"ref": "sapphire0/predict-hotel-type-with-pandas", "kernel_id": "93322"}, {"ref": "dragonheart/explore-expedia-search-data-130c6b57", "kernel_id": "101573"}, {"ref": "dragonheart/explore-expedia-search-data", "kernel_id": "92957"}, {"ref": "dragonheart/the-locations-puzzle", "kernel_id": "92952"}, {"ref": "dragonheart/predict-hotel-type-with-pandas", "kernel_id": "92943"}, {"ref": "dragonheart/expedia-hotel-cluster-predictions", "kernel_id": "92960"}, {"ref": "mariangela/notebook-e25e18db56d8e10124e7", "kernel_id": "77918"}, {"ref": "mariangela/notebook-5e6166bf06684cf5534c", "kernel_id": "83964"}, {"ref": "mjhmjy/notebook-7c37c3c0fbebecc11308", "kernel_id": "77236"}, {"ref": "vaibhav2909/explore-data", "kernel_id": "98803"}, {"ref": "joaomarcosgris/notebook6a6f7da086", "kernel_id": "90469"}, {"ref": "skrauseharder/notebookad4d781758", "kernel_id": "111509"}, {"ref": "lwalker/leakage-solution", "kernel_id": "128361"}, {"ref": "lwalker/notebook601559248e", "kernel_id": "126954"}, {"ref": "rammohan518/notebook3b35f12e73", "kernel_id": "103713"}, {"ref": "ynskrishna/notebook2c4c4fcedc", "kernel_id": "106622"}, {"ref": "yidatao/notebook69a31b1574", "kernel_id": "98949"}, {"ref": "paulsameyt/notebooka54228f8e0", "kernel_id": "197346"}, {"ref": "dante0shy/my-ehr-project", "kernel_id": "94332"}, {"ref": "dante0shy/dante-s-ehr-projext", "kernel_id": "94925"}, {"ref": "dante0shy/test-dante", "kernel_id": "94638"}, {"ref": "hkarimi/notebook30aa00ee6c", "kernel_id": "90822"}, {"ref": "bhageshvar/predict-hotel-type-with-pandas", "kernel_id": "94919"}, {"ref": "jamiechung/notebooka516c3d6b3", "kernel_id": "90718"}, {"ref": "sequae92/trycode2", "kernel_id": "125079"}, {"ref": "mandy357/mandy", "kernel_id": "100127"}, {"ref": "tmm5455/explore-expedia-search-data", "kernel_id": "121824"}, {"ref": "anantha2403/explore-data", "kernel_id": "143748"}, {"ref": "etignone/predict-hotel-type-with-pandas", "kernel_id": "97925"}, {"ref": "kiranjanga/predict-hotel-type-with-pandas", "kernel_id": "170544"}, {"ref": "analyticsdojo/explore-data", "kernel_id": "110339"}, {"ref": "kejessie94/length-x", "kernel_id": "103069"}, {"ref": "sd4174263/notebook6c9a128f77", "kernel_id": "119145"}, {"ref": "adithya9119/channel-is-different-test-v-train", "kernel_id": "104856"}, {"ref": "haareesh/notebookd039341307", "kernel_id": "228586"}, {"ref": "danielchanthink/notebook30a6fea5fd", "kernel_id": "103187"}, {"ref": "langpartjx/notebook8313c292aa", "kernel_id": "106109"}, {"ref": "langpartjx/notebookcab2fbce2f", "kernel_id": "106267"}, {"ref": "wangqiong/leakage-solution", "kernel_id": "170195"}, {"ref": "lanpei/explore-data", "kernel_id": "163435"}, {"ref": "lanpei/expedia-begining", "kernel_id": "180484"}, {"ref": "nabanita18/interactive-booking-trends", "kernel_id": "167618"}, {"ref": "edillower/notebook4950ad8293", "kernel_id": "111488"}, {"ref": "fatich/notebooka692c29821", "kernel_id": "155106"}, {"ref": "qweadg/test-first", "kernel_id": "298051"}, {"ref": "lingyanj/notebookf98e7fe539", "kernel_id": "112333"}, {"ref": "briannaotoole15/notebook74652a46b0", "kernel_id": "125051"}, {"ref": "celestino/notebook06a7d13787", "kernel_id": "165075"}, {"ref": "miltonlui0213/data-explore", "kernel_id": "114899"}, {"ref": "miltonlui0213/abdas", "kernel_id": "114918"}, {"ref": "miltonlui0213/checing", "kernel_id": "114882"}, {"ref": "miltonlui0213/check", "kernel_id": "114875"}, {"ref": "mhmr1993/notebooka00d03798f", "kernel_id": "109901"}, {"ref": "emmazhangyz/notebook8ac264e59e", "kernel_id": "112971"}, {"ref": "pgezer/expedia-hotel-recommendation", "kernel_id": "133550"}, {"ref": "pgezer/notebooka1cd05e789", "kernel_id": "133593"}, {"ref": "zzdu2013/leakage-solution", "kernel_id": "119095"}, {"ref": "giwlee/notebook4d6f4bf32c", "kernel_id": "115975"}, {"ref": "giwlee/notebookb84b8762f7", "kernel_id": "117544"}, {"ref": "haoyanzhang/notebook1ab72aecd7", "kernel_id": "124592"}, {"ref": "chendan08/r-version-of-most-popular-local-hotel", "kernel_id": "256505"}, {"ref": "pratik7939/explore-data", "kernel_id": "171100"}, {"ref": "alexandrafisher/notebook499f53b33b", "kernel_id": "133765"}, {"ref": "rlagrois/notebookafdb08706a", "kernel_id": "133711"}, {"ref": "osheam4/expedia-competition", "kernel_id": "157646"}, {"ref": "osheam4/expedia-competition-osheam4", "kernel_id": "157678"}, {"ref": "daiearth22/leakage-solution", "kernel_id": "363596"}, {"ref": "effe0215/notebook2070d9656d", "kernel_id": "146506"}, {"ref": "jinleng/predict-hotel-type-with-pandas", "kernel_id": "183593"}, {"ref": "dreamfield/leakage-solution", "kernel_id": "209099"}, {"ref": "poddutur/notebook6a3dc514db", "kernel_id": "195653"}, {"ref": "poddutur/my-first-script", "kernel_id": "195654"}, {"ref": "noddabodder/random-forest-test", "kernel_id": "238189"}, {"ref": "noddabodder/rf-predict", "kernel_id": "238535"}, {"ref": "noddabodder/random-forest-2", "kernel_id": "239112"}, {"ref": "noddabodder/random-forest-solution", "kernel_id": "239266"}, {"ref": "noddabodder/notebook506ee90e24", "kernel_id": "231384"}, {"ref": "noddabodder/leakage-solutiontests", "kernel_id": "231420"}, {"ref": "noddabodder/leakage-solution10", "kernel_id": "232921"}, {"ref": "noddabodder/leakage-solution44444", "kernel_id": "232809"}, {"ref": "noddabodder/random-forest", "kernel_id": "233171"}, {"ref": "noddabodder/leakage-solution12", "kernel_id": "232945"}, {"ref": "noddabodder/notebookc92031cf1c", "kernel_id": "229417"}, {"ref": "noddabodder/notebook99f9c5e472", "kernel_id": "229085"}, {"ref": "noddabodder/leakage-solution1", "kernel_id": "229088"}, {"ref": "noddabodder/leakage-solution11111", "kernel_id": "229847"}, {"ref": "noddabodder/leakage-solution55555", "kernel_id": "229879"}, {"ref": "noddabodder/leakage-solution4444444", "kernel_id": "229876"}, {"ref": "dylan1911/notebook9aeffc6ada", "kernel_id": "197727"}, {"ref": "larryjerry/notebooke50e208e1d", "kernel_id": "201953"}, {"ref": "larryjerry/expedia-tutorial", "kernel_id": "202753"}, {"ref": "ericqh/notebookaee2110a98", "kernel_id": "202501"}, {"ref": "ericqh/notebook3ff4ec2946", "kernel_id": "202503"}, {"ref": "ericqh/my-test", "kernel_id": "202507"}, {"ref": "goodmansjtu/spark-recommend-hotels", "kernel_id": "272119"}, {"ref": "sheephappy/notebook6ec49f2ba6", "kernel_id": "208734"}, {"ref": "sheephappy/notebook4928043c3c", "kernel_id": "208735"}, {"ref": "marrvolo/notebook43f5a7e94f", "kernel_id": "262203"}, {"ref": "marrvolo/notebookab9a5a1aca", "kernel_id": "262204"}, {"ref": "huayangyang/dddddddd", "kernel_id": "258214"}, {"ref": "cookieshake/notebookf231b6878c", "kernel_id": "228435"}, {"ref": "glipixun/checker", "kernel_id": "339974"}, {"ref": "imatrix/hotels", "kernel_id": "229480"}, {"ref": "thgus5614/notebooke4e556709f", "kernel_id": "230021"}, {"ref": "thgus5614/notebook65f64ca94a", "kernel_id": "233720"}, {"ref": "umalaks/hotel", "kernel_id": "273299"}, {"ref": "nm14390/notebookb6bce10027", "kernel_id": "279600"}, {"ref": "nm14390/notebook2bbc15b5b1", "kernel_id": "279594"}, {"ref": "nm14390/notebook7a11dfa847", "kernel_id": "279591"}, {"ref": "nm14390/experiment101", "kernel_id": "279589"}, {"ref": "nm14390/notebookd0b353059c", "kernel_id": "279342"}, {"ref": "nm14390/follow-up", "kernel_id": "279335"}, {"ref": "ak1mbo/hotels", "kernel_id": "492114"}, {"ref": "e0045003/expedia-project", "kernel_id": "724125"}, {"ref": "denisbubel95/notebook46954d49b6", "kernel_id": "542723"}, {"ref": "stvardzi/workinprogress", "kernel_id": "493579"}, {"ref": "uj2295/xgboost-for-compset", "kernel_id": "1242887"}, {"ref": "ajay1216/practical-guide-on-data-preprocessing-in-python", "kernel_id": "1704443"}, {"ref": "abcom123tw/random-forest-pure", "kernel_id": "1076566"}, {"ref": "abcom123tw/leakage-solution-10", "kernel_id": "1045632"}, {"ref": "saurabhsa/test-run-1", "kernel_id": "1243010"}, {"ref": "saurabhsa/test-run-2", "kernel_id": "1242961"}, {"ref": "krsnewwave/exploring-possible-solutions-eda-w-images", "kernel_id": "2150210"}, {"ref": "setseedhaha/begining", "kernel_id": "3666123"}, {"ref": "daltonlin/expedia-project", "kernel_id": "4853972"}, {"ref": "leetaehun/kernel2b4260a852", "kernel_id": "4755559"}, {"ref": "rakibulhsn/data-prep-kernel", "kernel_id": "4454550"}, {"ref": "jiaofenx/expedia-hotel-recommendations", "kernel_id": "5118901"}, {"ref": "rcblay/ise529-expedia", "kernel_id": "6937829"}, {"ref": "aeiyuni/eda-expedia", "kernel_id": "6246048"}, {"ref": "mphuqui/groupe-arnaud-ludo-marie", "kernel_id": "6066838"}, {"ref": "srinath2309/expedia-predictions-sklearn-classifiers", "kernel_id": "7271477"}, {"ref": "seohongju/20200302-kaggle-pro", "kernel_id": "8211305"}, {"ref": "wltongxue521/fork-of-1-part-is-booking", "kernel_id": "9293919"}, {"ref": "wltongxue521/2-part-bootstrapping", "kernel_id": "9293084"}, {"ref": "wpfjason/final-project-part1-part2", "kernel_id": "9303531"}, {"ref": "svbktarun/kernel614dcca952", "kernel_id": "10543956"}, {"ref": "xseungyeonleex/expedia-hotel-recommendations-practice", "kernel_id": "10275446"}, {"ref": "pyy0715/data-read-in-2minute", "kernel_id": "11972945"}, {"ref": "jialunhe/map-k-demo", "kernel_id": "12268724"}, {"ref": "maqsoodmahmud/generic-data-preprocessing-steps", "kernel_id": "13023209"}, {"ref": "mariolu/it-5006-milestone-1", "kernel_id": "15148253"}, {"ref": "gmanish/eda-and-nlp-pre-processing", "kernel_id": "16557132"}, {"ref": "mariolu/it-5006-milestone-2", "kernel_id": "16345433"}, {"ref": "liyiran0628/notebook705ce73614", "kernel_id": "16456719"}, {"ref": "liyiran0628/notebookedf51458a1", "kernel_id": "16134435"}, {"ref": "jackcunningham/expediahotelcompetition", "kernel_id": "23424138"}, {"ref": "putdejudomthai/expedia-exploratory-data-destination-search", "kernel_id": "25393183"}, {"ref": "ukid79/expedia-try-1", "kernel_id": "37850665"}, {"ref": "saanchigupta/expedia-exploratory-data", "kernel_id": "65401999"}, {"ref": "kevink0805/personalised-hotel-recommendations-expedia-data", "kernel_id": "65389517"}, {"ref": "serhiileoshchenko/practical-guide-on-data-preprocessing-in-python", "kernel_id": "69298139"}, {"ref": "zyh1104/047-expedia-hotel-recommendations", "kernel_id": "71897307"}, {"ref": "saanchigupta/expedia-hotel-recommendations", "kernel_id": "72909402"}, {"ref": "irakosenkoiryna389/notebook-expedia", "kernel_id": "115130990"}, {"ref": "zeynepezgiyakisan/expediahotelrecommendations-lightgbm", "kernel_id": "124774859"}]}
{"competition_id": "5078", "kernels": []}
{"competition_id": "5080", "kernels": []}
{"competition_id": "5081", "kernels": []}
{"competition_id": "5100", "kernels": []}
{"competition_id": "5120", "kernels": []}
{"competition_id": "5127", "kernels": [{"ref": "agarwalsneha/exploring-artist-behaviour", "kernel_id": "87341"}, {"ref": "agarwalsneha/exploring-train-info-to-get-artist-characteristics", "kernel_id": "87429"}, {"ref": "agarwalsneha/looking-at-the-artwork", "kernel_id": "87451"}, {"ref": "agarwalsneha/model-on-train-info", "kernel_id": "87454"}, {"ref": "eugenecamus/notebook-a54581594eb9c9957bbf", "kernel_id": "73001"}, {"ref": "chenwendi/notebook4e62ebe417", "kernel_id": "107652"}, {"ref": "benderv/notebookffb3faa7e4", "kernel_id": "105510"}, {"ref": "jvdnouri/painters-numbers", "kernel_id": "78475"}, {"ref": "jackdaw/notebook-23f82238719b3adeb76b", "kernel_id": "64401"}, {"ref": "silnov/ys-playground", "kernel_id": "86429"}, {"ref": "arudyanto/fingerprints-in-paintings", "kernel_id": "60759"}, {"ref": "apratim87/fingerprints-in-paintings", "kernel_id": "109478"}, {"ref": "jasonlengxm/notebook5a1b00a825", "kernel_id": "92421"}, {"ref": "kvn219/notebook-e6b4ed417ed13be50389", "kernel_id": "80507"}, {"ref": "kvn219/notebook-49dd9b9603b34a10237b", "kernel_id": "80508"}, {"ref": "kvn219/notebook-3d55f55fd048c7855c38", "kernel_id": "80509"}, {"ref": "kvn219/testing-kernal", "kernel_id": "80505"}, {"ref": "sandeepdevagiri/test-v1", "kernel_id": "62374"}, {"ref": "jalfaizy/are-you-a-real-painter", "kernel_id": "62598"}, {"ref": "scollins/painter-by-numbers", "kernel_id": "107776"}, {"ref": "harshratde/started-1", "kernel_id": "107540"}, {"ref": "f3e7n2g1/initial", "kernel_id": "90873"}, {"ref": "ymcdull/frank-first-test-1", "kernel_id": "66907"}, {"ref": "valecdb/fingerprints-in-paintings", "kernel_id": "90758"}, {"ref": "nathanelbaz/notebook-938f1de731f6940be407", "kernel_id": "65719"}, {"ref": "inhochoi/notebook7876a39ed6", "kernel_id": "96443"}, {"ref": "inhochoi/notebooke637384326", "kernel_id": "102981"}, {"ref": "keyshin/firststeps", "kernel_id": "58794"}, {"ref": "alainminda/notebook96886ff1f0", "kernel_id": "94963"}, {"ref": "alainminda/notebook-8585b47af1dba5ea6b2e", "kernel_id": "70093"}, {"ref": "anonymus4096/notebook-79a5eaf512adfe95977d", "kernel_id": "81578"}, {"ref": "sabrina45/notebook-ac744001842f0bb37dbb", "kernel_id": "76413"}, {"ref": "cvasii23/notebook83b2ec75be", "kernel_id": "98504"}, {"ref": "rakshitk/trial-script", "kernel_id": "62238"}, {"ref": "rakshitk/notebook-abf3639f33f75393557d", "kernel_id": "62240"}, {"ref": "aemreaydin/notebookf4de9c9f2e", "kernel_id": "101873"}, {"ref": "dsfunz/notebook56ec6494d4", "kernel_id": "115303"}, {"ref": "dsfunz/notebook22baea6cee", "kernel_id": "112619"}, {"ref": "vrkrishn/set-correct-scrips", "kernel_id": "74505"}, {"ref": "vrkrishn/notebook-71f42874095a2020b6c6", "kernel_id": "74497"}, {"ref": "takuyasakaguchi/notebook-02a8048d4e7709e30323", "kernel_id": "73457"}, {"ref": "takuyasakaguchi/notebook-2ccc7e5644bcb6abd4ec", "kernel_id": "73463"}, {"ref": "takuyasakaguchi/painter-number-python", "kernel_id": "73459"}, {"ref": "takuyasakaguchi/notebook-23661b173f460214aa2a", "kernel_id": "73460"}, {"ref": "takuyasakaguchi/notebook-b37ce8859fc603d14671", "kernel_id": "73466"}, {"ref": "takuyasakaguchi/notebook-d96206bd6fbf26dbdd26", "kernel_id": "73942"}, {"ref": "smuddana/notebook-16080a18976515b9a2b8", "kernel_id": "58898"}, {"ref": "jypucca/notebook03b6b68d57", "kernel_id": "110110"}, {"ref": "johnaji/notebookea493c1202", "kernel_id": "105692"}, {"ref": "bartonsatchwill/notebook5546a9194d", "kernel_id": "111864"}, {"ref": "jihyeseo/images-painter-classify", "kernel_id": "958699"}, {"ref": "delillie/notebook-1194556328ad904cd6d4", "kernel_id": "69315"}, {"ref": "delillie/notebook-97afad3f35e3d1591103", "kernel_id": "69312"}, {"ref": "delillie/notebook-8ed30c54ad1cdbf9fd55", "kernel_id": "69313"}, {"ref": "delillie/notebook-3f617e72e08848b58f5c", "kernel_id": "69333"}, {"ref": "delillie/notebook-8f91340df9c21c659555", "kernel_id": "69334"}, {"ref": "delillie/notebook-c53622a524b330ca8a77", "kernel_id": "69335"}, {"ref": "delillie/notebook-d4a2f61544aa55aa4210", "kernel_id": "69336"}, {"ref": "delillie/notebook-2bc46f08872c3a872b28", "kernel_id": "69337"}, {"ref": "delillie/notebook-42ca38d0e544a9f2300e", "kernel_id": "70964"}, {"ref": "delillie/notebook-bb49dc908bcd4c40f069", "kernel_id": "70965"}, {"ref": "delillie/notebook-7f3fe1fce751351d8fa7", "kernel_id": "70966"}, {"ref": "delillie/notebook-9a423981b19e31abe482", "kernel_id": "70967"}, {"ref": "delillie/notebook-968d929a2a36bdc792ce", "kernel_id": "70968"}, {"ref": "delillie/test-first", "kernel_id": "70969"}, {"ref": "kumarp/notebook708f733695", "kernel_id": "115369"}, {"ref": "kumarp/notebook2958fa2cb0", "kernel_id": "115681"}, {"ref": "sevenmoon/notebook-7cd0fca498c8f4dac0c8", "kernel_id": "62354"}, {"ref": "sevenmoon/testa", "kernel_id": "62355"}, {"ref": "pankajmishra/notebook0d345f690c", "kernel_id": "99158"}, {"ref": "jgscherber/painters-delight", "kernel_id": "84058"}, {"ref": "yhenon/notebook-a5a1fd7aab889850b125", "kernel_id": "62981"}, {"ref": "yhenon/exploringdata", "kernel_id": "62982"}, {"ref": "atanahel/file-corruption", "kernel_id": "66289"}, {"ref": "atanahel/notebook-f3fcf29bea7f8855f9d3", "kernel_id": "66296"}, {"ref": "atanahel/notebook-3629180b7f69b1c7ccc5", "kernel_id": "63708"}, {"ref": "tabakg/notebook-12dab308a22e3f75d74c", "kernel_id": "71271"}, {"ref": "zolteckx6/notebookb26b48705b", "kernel_id": "86323"}, {"ref": "hshirl/notebook-5235dfcd0ec4ca8d43de", "kernel_id": "85546"}, {"ref": "gzgzgz/artwork-classification", "kernel_id": "92019"}, {"ref": "gzgzgz/notebook5e5e961c97", "kernel_id": "97987"}, {"ref": "razvan1292/blabla", "kernel_id": "80036"}, {"ref": "yafeilu/notebook566c2a8689", "kernel_id": "92090"}, {"ref": "haitran/painter-number-by-simplecv", "kernel_id": "92626"}, {"ref": "anatolechessel/notebooke71ac8cf07", "kernel_id": "93611"}, {"ref": "angnicolas/notebookbfeb9a5173", "kernel_id": "103076"}, {"ref": "vinipd/fingerprints-in-paintings", "kernel_id": "99537"}, {"ref": "argaria/fingerprints-in-paintings", "kernel_id": "100773"}, {"ref": "phirwe/frank-first-test", "kernel_id": "162480"}, {"ref": "phirwe/frank-first-test-4948d378", "kernel_id": "162481"}, {"ref": "leomacias/top-genre-basic-understanding-of-dataset", "kernel_id": "175981"}, {"ref": "jaywhang/notebook29459c115e", "kernel_id": "119932"}, {"ref": "chenbk/notebook41968f8863", "kernel_id": "271989"}, {"ref": "ecdraayer/painter", "kernel_id": "230530"}, {"ref": "sonali18395/fork-of-artwork-classification", "kernel_id": "487946"}, {"ref": "bonovandoo/deep-dreaming-dali-keras-deepdream", "kernel_id": "1547946"}, {"ref": "mfekadu/picasso-not-picasso", "kernel_id": "1962048"}, {"ref": "mfekadu/somethingaboutimages", "kernel_id": "1852031"}, {"ref": "awallst/picasso-not-picasso", "kernel_id": "2025128"}, {"ref": "protiknag08/artistic-style-recognition", "kernel_id": "2751064"}, {"ref": "bbissey/artsnobs", "kernel_id": "5880422"}, {"ref": "rishabha/art-work", "kernel_id": "6004242"}, {"ref": "parkerzmartin/painterbynumbersset", "kernel_id": "6035979"}, {"ref": "windmen/special-for-danil", "kernel_id": "8526402"}, {"ref": "wouterdpg/painterbynumbers", "kernel_id": "8991585"}, {"ref": "d22ski/the-painting-art-colors-timeline", "kernel_id": "11875584"}, {"ref": "cynthiarempel/painter-by-the-numbers0", "kernel_id": "16404289"}, {"ref": "brunosabino/the-painting-art-colors-timeline", "kernel_id": "19823413"}, {"ref": "edwardjex/style-transfer-dataset-prep", "kernel_id": "23772844"}, {"ref": "spyrosrigas/20-painters-classification-with-cnns-and-svms", "kernel_id": "24393539"}, {"ref": "shaorrran/coco-wikiart-dataset-work-adain-style-transfer", "kernel_id": "24349752"}, {"ref": "davidcanorosillo/adain-style", "kernel_id": "25433951"}, {"ref": "enricosantoro/art-project", "kernel_id": "35061136"}, {"ref": "ralphtb/dlip-project-group-3", "kernel_id": "73109472"}, {"ref": "beereshhtbeeresh/ml-assignment-1", "kernel_id": "94870844"}, {"ref": "mayankrohilla21/notebook1fa9563377", "kernel_id": "114118842"}]}
{"competition_id": "5140", "kernels": []}
{"competition_id": "5144", "kernels": [{"ref": "antgoldbloom/notebook-a241a0c1c1aa2fc1d890", "kernel_id": "76904"}, {"ref": "antgoldbloom/notebook499a636031", "kernel_id": "89406"}, {"ref": "benhamner/notebook71739f1b0e", "kernel_id": "89453"}, {"ref": "chefele/plot-images-overlaid-with-mask", "kernel_id": "64715"}, {"ref": "chefele/notebook-a8d9e669df80331bf757", "kernel_id": "66333"}, {"ref": "chefele/animated-images-with-outlined-nerve-area", "kernel_id": "66364"}, {"ref": "chefele/notebook-a05994e8b672c65d96bb", "kernel_id": "65999"}, {"ref": "chefele/all-masks-average", "kernel_id": "67671"}, {"ref": "wcukierski/example-run-length-encoding-function", "kernel_id": "64692"}, {"ref": "wcukierski/plot-images-1", "kernel_id": "64650"}, {"ref": "naissus/training-images-plus-nerve-area-outline", "kernel_id": "88203"}, {"ref": "naissus/mislabeled-training-images", "kernel_id": "88172"}, {"ref": "abhishek/uns-1-v5", "kernel_id": "79304"}, {"ref": "abhishek/cv2-ve", "kernel_id": "79287"}, {"ref": "cmis91/notebook7aba451e9c", "kernel_id": "163660"}, {"ref": "wmestrom/animated-images-with-outlined-nerve-area", "kernel_id": "84856"}, {"ref": "jeffstahler/notebook-15a2b1c01ecc974d2476", "kernel_id": "77937"}, {"ref": "jeffstahler/notebook-303e4020c76c29fc567a", "kernel_id": "77938"}, {"ref": "jeffstahler/ellipse-fit", "kernel_id": "77930"}, {"ref": "jeffstahler/mislabeled-training-images", "kernel_id": "88151"}, {"ref": "woshialex/run-length-in-python", "kernel_id": "66302"}, {"ref": "khanenko/notebook-70b5875a70392bdbe801", "kernel_id": "65062"}, {"ref": "kymhorsell1/newseed", "kernel_id": "83957"}, {"ref": "edk217/keras-nerve-stuff", "kernel_id": "88820"}, {"ref": "edk217/training-images-plus-nerve-area-outline", "kernel_id": "88849"}, {"ref": "albertswart/test-script", "kernel_id": "64905"}, {"ref": "weizhezhang/training-images-plus-nerve-area-outline", "kernel_id": "64770"}, {"ref": "bensonlee5/notebook-a0335d0f7d59342efade", "kernel_id": "65492"}, {"ref": "bensonlee5/notebook-8452343a38caa2ec5b5c", "kernel_id": "65493"}, {"ref": "tudinhnguyen/notebook-88cc5ba55997065b2f19", "kernel_id": "85517"}, {"ref": "yiwang/first-script", "kernel_id": "72720"}, {"ref": "wjholst/keras-is-there-any-nerve", "kernel_id": "79502"}, {"ref": "valadi/uns-1-v5-jayjay1", "kernel_id": "86179"}, {"ref": "henryleopold/notebook-091ca23c8b230e604ad9", "kernel_id": "85048"}, {"ref": "henryleopold/notebook-5da7b6781f1645b757f1", "kernel_id": "85051"}, {"ref": "kmader/qbi-advanced-image-segmentation", "kernel_id": "218150"}, {"ref": "rdokov/exact-duplicates", "kernel_id": "88105"}, {"ref": "jesusfbes/exploratory-data-analysis", "kernel_id": "74903"}, {"ref": "bijusasidharan/notebook-87a8083783c9e34d3325", "kernel_id": "82335"}, {"ref": "company/uns-1", "kernel_id": "69551"}, {"ref": "michelemoretti/elastic-transform-for-data-augmentation-76e9af28", "kernel_id": "91637"}, {"ref": "michelemoretti/elastic-transform-for-data-augmentation", "kernel_id": "85691"}, {"ref": "michelemoretti/notebook-d9b2bec76714a3d0e33e", "kernel_id": "76039"}, {"ref": "michelemoretti/nerves", "kernel_id": "76040"}, {"ref": "michelemoretti/notebook-b7b2a069da53a6370a19", "kernel_id": "76041"}, {"ref": "shgidi/notebook-e6a44475bd2ca2a17ccb", "kernel_id": "80346"}, {"ref": "fffaez/notebook-38bc4da758c68cbd015c", "kernel_id": "69867"}, {"ref": "mkhodeir/notebook-5d3c2acb2a87439bd260", "kernel_id": "67312"}, {"ref": "mkhodeir/notebook-76be4684f824ad2f7791", "kernel_id": "67313"}, {"ref": "markus123/notebook-1680d800b2ac616407d2", "kernel_id": "64680"}, {"ref": "markus123/plot-images", "kernel_id": "64685"}, {"ref": "markus123/firsttrial1", "kernel_id": "77868"}, {"ref": "atquiet/maskisolation", "kernel_id": "68761"}, {"ref": "atquiet/ellipse-fit", "kernel_id": "67754"}, {"ref": "manoja328/example-run-length-encoding-function", "kernel_id": "251996"}, {"ref": "chaotic/uns-1", "kernel_id": "69813"}, {"ref": "j0shua/ellipse-fit", "kernel_id": "71976"}, {"ref": "j0shua/notebook-3f78a00923b4aca1257e", "kernel_id": "71998"}, {"ref": "j0shua/notebook-92391dc64815470089ef", "kernel_id": "71999"}, {"ref": "j0shua/notebook-367cc27e2cb2d5278528", "kernel_id": "72000"}, {"ref": "j0shua/notebook-a1fca35ea05f6bc8d3b1", "kernel_id": "72001"}, {"ref": "j0shua/notebook-e611cf997106ef8d47ee", "kernel_id": "72002"}, {"ref": "j0shua/notebook-3649aa8f1af619f0d74a", "kernel_id": "72003"}, {"ref": "j0shua/notebook-13c217c61171e231daca", "kernel_id": "72004"}, {"ref": "j0shua/notebook-ae0ca0eee7b7c34860b1", "kernel_id": "72005"}, {"ref": "j0shua/notebook-fcb99eaa67d54409f03b", "kernel_id": "72006"}, {"ref": "j0shua/notebook-f3bc62754174b65e95f9", "kernel_id": "72050"}, {"ref": "j0shua/notebook-c0b5f7ea0a10a0369ddf", "kernel_id": "72045"}, {"ref": "j0shua/notebook-11848601d87ad0bcc7a4", "kernel_id": "72046"}, {"ref": "j0shua/notebook-e39e6dd2b76e172f6000", "kernel_id": "72047"}, {"ref": "gooron/elastic-transform-for-data-augmentation", "kernel_id": "77174"}, {"ref": "gooron/notebook-94f98ababf2dc43371aa", "kernel_id": "77175"}, {"ref": "loveall/run-length-in-python-shorter", "kernel_id": "426348"}, {"ref": "mangoengineer/notebook-890d5efecf220d054ea1", "kernel_id": "68043"}, {"ref": "stephenfox/notebook-12db101b18f9030f884f", "kernel_id": "67180"}, {"ref": "anilnarassiguin/autoencoder", "kernel_id": "67851"}, {"ref": "anilnarassiguin/ellipse-fit", "kernel_id": "67542"}, {"ref": "anilnarassiguin/notebook-916aaae3757c383166eb", "kernel_id": "67557"}, {"ref": "anilnarassiguin/notebook-af4d61a3ce7f407e8083", "kernel_id": "67558"}, {"ref": "anilnarassiguin/ellipse-fit-1", "kernel_id": "67560"}, {"ref": "anilnarassiguin/notebook-33b162dc827e4bedd9a8", "kernel_id": "67555"}, {"ref": "rakhlin/fast-run-length-encoding-python", "kernel_id": "87756"}, {"ref": "rmurrish/notebookf7be50f674", "kernel_id": "88087"}, {"ref": "vagrawal/notebook-7a5821e8c7eacb1c9919", "kernel_id": "66052"}, {"ref": "vagrawal/notebook-1a73c07150afc58ad8fd", "kernel_id": "65943"}, {"ref": "vagrawal/all-masks-average", "kernel_id": "65925"}, {"ref": "vagrawal/notebook-85c012f66d5d6573ef2a", "kernel_id": "65939"}, {"ref": "vagrawal/notebook-380d877692047aea4c23", "kernel_id": "66070"}, {"ref": "vagrawal/nerve-present-classifier", "kernel_id": "85923"}, {"ref": "vagrawal/notebooke830ad1fc8", "kernel_id": "89075"}, {"ref": "vagrawal/notebookf05684b1ce", "kernel_id": "89039"}, {"ref": "vagrawal/test2", "kernel_id": "89042"}, {"ref": "vagrawal/notebook80d95859cc", "kernel_id": "89046"}, {"ref": "vagrawal/notebook821f73f7cd", "kernel_id": "88692"}, {"ref": "vagrawal/notebook05d6081a0f", "kernel_id": "88693"}, {"ref": "drarfc/uns-1-v5", "kernel_id": "79656"}, {"ref": "rwmckeown/notebook-c5067d361e4930baf972", "kernel_id": "82546"}, {"ref": "mohdatir/keras-is-there-any-nerve", "kernel_id": "77326"}, {"ref": "mohdatir/trying", "kernel_id": "65913"}, {"ref": "baoerpoo/tester", "kernel_id": "84450"}, {"ref": "ghostfacekillah/notebook-26dcdfda52aa262d0b86", "kernel_id": "73939"}, {"ref": "fettpet/notebook-994db141aae0d4c07bfb", "kernel_id": "71763"}, {"ref": "sushize/uns-1-v5-jayjay1-0-57162", "kernel_id": "87479"}, {"ref": "asimkievich/keras-is-there-any-nerve", "kernel_id": "77037"}, {"ref": "jensen/notebook8134cded8b", "kernel_id": "86164"}, {"ref": "jproose/notebook-fc53e7718ee0fef233c1", "kernel_id": "64684"}, {"ref": "madraziw/madtest", "kernel_id": "80290"}, {"ref": "mikezawitkowski/notebook-77f61e5a3e18db68d95a", "kernel_id": "79594"}, {"ref": "mitchsanders/notebookfee90de194", "kernel_id": "87730"}, {"ref": "av0239/notebook-cdbd578f02c17edc6971", "kernel_id": "72009"}, {"ref": "cjalbanese/test-script", "kernel_id": "69077"}, {"ref": "kbhola/notebook8b24c8d69c", "kernel_id": "86337"}, {"ref": "kbhola/unsg-kbhola", "kernel_id": "86338"}, {"ref": "dalgacik/nerve-aug-15", "kernel_id": "89016"}, {"ref": "dalgacik/notebook-8a51d907b1cd71eb95d0", "kernel_id": "68174"}, {"ref": "dalgacik/all-masks-average", "kernel_id": "67645"}, {"ref": "dalgacik/notebook-1df4c64d9496b7d37010", "kernel_id": "67804"}, {"ref": "dalgacik/notebook-e1586aa3a042d5edf9c4", "kernel_id": "71465"}, {"ref": "dalgacik/notebook-f9123f1e42431c1badb6", "kernel_id": "71482"}, {"ref": "dalgacik/load-image-with-opencv", "kernel_id": "70305"}, {"ref": "dalgacik/notebook-d4bb726c447cf8fcbf34", "kernel_id": "70224"}, {"ref": "dalgacik/notebook-9e5d9582d03202823add", "kernel_id": "70218"}, {"ref": "nvkartheekaggle/notebook-9f5e255f3a775789f8a8", "kernel_id": "78568"}, {"ref": "mlliou112/something", "kernel_id": "67740"}, {"ref": "mlliou112/notebook-ea340962ddb770800d02", "kernel_id": "67741"}, {"ref": "romazu/test0", "kernel_id": "76997"}, {"ref": "grantrvd/notebook-5a413ff1ca4f10682327", "kernel_id": "65032"}, {"ref": "grantrvd/notebook-c11ae6a956a041489580", "kernel_id": "65033"}, {"ref": "grantrvd/convert-images-to-numpy-arrays", "kernel_id": "65038"}, {"ref": "grantrvd/notebook-1b5a28bea1851f2ca5ab", "kernel_id": "65039"}, {"ref": "grantrvd/notebook-fe6247c8321e6cfc0960", "kernel_id": "65040"}, {"ref": "poiss0nriot/uns-1-v5-jayjay1", "kernel_id": "86573"}, {"ref": "hoagyd/notebook-04715718499ae1f69327", "kernel_id": "79303"}, {"ref": "nmalepati/notebook-f406d786188a1d671031", "kernel_id": "64825"}, {"ref": "nmalepati/notebook-c58dd19677425fb6d9e9", "kernel_id": "64829"}, {"ref": "nameyy/elastic-transform-for-data-augmentation", "kernel_id": "177035"}, {"ref": "archyk/notebook-b66791a023b641b83db8", "kernel_id": "81643"}, {"ref": "rlkuhn/identify-train-image-with-nerves", "kernel_id": "68678"}, {"ref": "raviinits/notebook-be1539dd7f06a2f87873", "kernel_id": "83856"}, {"ref": "raviinits/notebook-e59b337d050b2bb1111c", "kernel_id": "82853"}, {"ref": "shiladityab/notebook-697396ce1a248c0e961c", "kernel_id": "67483"}, {"ref": "takwat/notebook-54ba9f8f60545b8c2208", "kernel_id": "70376"}, {"ref": "iampritishpatil/maskisolation", "kernel_id": "64857"}, {"ref": "iampritishpatil/notebook-0d7b3fa7f755f9a32c5d", "kernel_id": "64859"}, {"ref": "raguram/notebook-d0343abd0c1d851360b1", "kernel_id": "72127"}, {"ref": "raguram/plot-images", "kernel_id": "72119"}, {"ref": "raguram/notebook-c944c86a3a165b1e3a48", "kernel_id": "72120"}, {"ref": "raguram/notebook-535687c2e0db3d394c51", "kernel_id": "72121"}, {"ref": "raguram/rrrimage", "kernel_id": "72122"}, {"ref": "raguram/notebook-d60bed08592a61e0d728", "kernel_id": "72124"}, {"ref": "raguram/notebook-e96e8b1949ec0aa20e56", "kernel_id": "72181"}, {"ref": "raguram/usneuro", "kernel_id": "72163"}, {"ref": "raguram/notebook-5db7c499a2e749136b8f", "kernel_id": "72183"}, {"ref": "raguram/notebook-ab4a750a939b844b5b97", "kernel_id": "72184"}, {"ref": "raguram/notebook-bfdf36a0a65e8fd6abbf", "kernel_id": "72626"}, {"ref": "raguram/script", "kernel_id": "72627"}, {"ref": "raguram/notebook-9c1bb5c79ab30d76cafe", "kernel_id": "72728"}, {"ref": "raguram/notebook-7c6fc13f5ad9bfbfda59", "kernel_id": "72766"}, {"ref": "raguram/notebook-4d6a03fb98bc90b47ca8", "kernel_id": "72742"}, {"ref": "raguram/notebook-8de96df00e4866b20b3c", "kernel_id": "72399"}, {"ref": "raguram/notebook-960507fd82572bd434bd", "kernel_id": "72401"}, {"ref": "raguram/notebook-139277d2731d1ff99801", "kernel_id": "72405"}, {"ref": "raguram/notebook-42abdf847f5c96a1fcce", "kernel_id": "72407"}, {"ref": "raguram/notebook-e378507aa866e15b871b", "kernel_id": "72469"}, {"ref": "raguram/notebook-6f44c9cf19fd5ac3c803", "kernel_id": "72470"}, {"ref": "raguram/notebook-27db8e661724dd570f0c", "kernel_id": "72472"}, {"ref": "raguram/notebook-cc3b6b8ee835977af5b9", "kernel_id": "72480"}, {"ref": "raguram/notebook-ccdd238edb058bd5ea35", "kernel_id": "72483"}, {"ref": "sridharjs/notebook-24074bd48c07c86a2da3", "kernel_id": "65431"}, {"ref": "marbel/notebook-026561ef486e3fc36e13", "kernel_id": "80170"}, {"ref": "jiqiujia/elastic-transform-for-data-augmentation", "kernel_id": "266090"}, {"ref": "nmlemus/notebook8116b0228e", "kernel_id": "87340"}, {"ref": "khyh00/mean-mask", "kernel_id": "65119"}, {"ref": "khyh00/notebook-736ad763e52b617e2c0b", "kernel_id": "65124"}, {"ref": "khyh00/notebook-f51bc5df4c30aec7bda0", "kernel_id": "65125"}, {"ref": "sunnmy/notebook-f645e7bc0d6c64ad4739", "kernel_id": "68551"}, {"ref": "sunnmy/training-images-plus-nerve-area-outline", "kernel_id": "68548"}, {"ref": "sunnmy/notebook-0b1e0ffda09a6bcdf732", "kernel_id": "68549"}, {"ref": "ankush96/notebook-2f5c947046bd211e11fa", "kernel_id": "70936"}, {"ref": "ankush96/test-initial", "kernel_id": "70937"}, {"ref": "bguberfain/notebook-7358c29ad4f1ad9bb91e", "kernel_id": "66277"}, {"ref": "bguberfain/ellipse-fit", "kernel_id": "66270"}, {"ref": "bguberfain/mask-presence-with-xgb-on-histogram", "kernel_id": "69615"}, {"ref": "bguberfain/roi-selection", "kernel_id": "78306"}, {"ref": "bguberfain/notebook-97fe12ab19753e1d5b35", "kernel_id": "78316"}, {"ref": "bguberfain/notebook-776880b181e867145100", "kernel_id": "76335"}, {"ref": "bguberfain/notebook-98c3a5d8110fbb0a4dc3", "kernel_id": "76336"}, {"ref": "bguberfain/elastic-transform-for-data-augmentation", "kernel_id": "76315"}, {"ref": "arnocandel/uns-1-v5-jayjay1", "kernel_id": "87787"}, {"ref": "kyocen/ellipse-fit", "kernel_id": "66658"}, {"ref": "aelmgren/notebookcf4392dbf3", "kernel_id": "88025"}, {"ref": "davehiem/autoencoder", "kernel_id": "66057"}, {"ref": "terrypang/notebook-154286838d91504b19d0", "kernel_id": "64863"}, {"ref": "ssakhavi/firstprogram", "kernel_id": "69707"}, {"ref": "milchevski/notebook-e9df7b7d1ce9b4fd2dd2", "kernel_id": "69258"}, {"ref": "edwardtyantov/notebook-d2f8e5f1411262ddb587", "kernel_id": "70147"}, {"ref": "edwardtyantov/ttttt", "kernel_id": "68791"}, {"ref": "edwardtyantov/training-images-plus-nerve-area-outline", "kernel_id": "68792"}, {"ref": "annavictoria/notebook9185529471", "kernel_id": "85758"}, {"ref": "annavictoria/notebooka234f399d6", "kernel_id": "85759"}, {"ref": "tezdhar/notebook-ea11f128dc57a6985e49", "kernel_id": "80372"}, {"ref": "tgswartz/elastic-transform-for-data-augmentation", "kernel_id": "76648"}, {"ref": "tgswartz/notebook-41fef1c4969d5f650adb", "kernel_id": "76649"}, {"ref": "tgswartz/notebook-88723b4c1b05c307d9a6", "kernel_id": "76650"}, {"ref": "ryutek/uns-1-v5-jayjay1", "kernel_id": "87397"}, {"ref": "tonylau/notebook1c76de84a9", "kernel_id": "92794"}, {"ref": "santanuds/notebook-1bcf38806ddc2e1e6d28", "kernel_id": "80581"}, {"ref": "santanuds/notebook-0387a642ac47291a621d", "kernel_id": "81858"}, {"ref": "mluckeroth/notebook-40854f84e22f9bb9a794", "kernel_id": "78325"}, {"ref": "deepcnn/mislabeled-training-images", "kernel_id": "87328"}, {"ref": "ankitchiplunkar/notebook-7deb5babfbf92f17d6d8", "kernel_id": "65753"}, {"ref": "tianzhou7/notebook-726cb7d6c01db7f2c60f", "kernel_id": "74788"}, {"ref": "shijy07/notebook-5f13ee5956d13fa86ae1", "kernel_id": "70034"}, {"ref": "neurohn/notebook9d8859c95d", "kernel_id": "87031"}, {"ref": "tianyoulin/maskisolation", "kernel_id": "64892"}, {"ref": "tianyoulin/exploratory-data-analysis", "kernel_id": "64894"}, {"ref": "tianyoulin/training-images-plus-nerve-area-outline", "kernel_id": "64895"}, {"ref": "tianyoulin/plot-images", "kernel_id": "64897"}, {"ref": "tianyoulin/notebook-c9f535145b496ffb535c", "kernel_id": "64901"}, {"ref": "tianyoulin/notebook-c13fcc045218edc4f34d", "kernel_id": "64902"}, {"ref": "gzuidhof/mislabeled-training-images", "kernel_id": "85781"}, {"ref": "zxyinz/notebook-8db4e72d354c5d0d2c47", "kernel_id": "65130"}, {"ref": "zxyinz/notebook-660b5894f8998a121f5a", "kernel_id": "65132"}, {"ref": "jamesgannon/notebook-54c39c8f59d81f9861ab", "kernel_id": "77641"}, {"ref": "vlarine/uns-mask-koeff", "kernel_id": "89887"}, {"ref": "jaredchung/notebookfde9bcdcb3", "kernel_id": "89805"}, {"ref": "pscion/elastic-transform-for-data-augmentation", "kernel_id": "86503"}, {"ref": "pscion/elastic-transform-for-data-augmentation-0878921a", "kernel_id": "86504"}, {"ref": "pscion/training-images-plus-nerve-area-outline", "kernel_id": "86507"}, {"ref": "ivansd/notebook1a0340e150", "kernel_id": "95288"}, {"ref": "reinforce/notebookcd90331848", "kernel_id": "89810"}, {"ref": "mingtop/notebook-0ffc8321b4cee6552f6c", "kernel_id": "76486"}, {"ref": "ymcdull/empty-for-fun", "kernel_id": "65696"}, {"ref": "keishinkickback/notebook-df6b07c01c2d5e3703a0", "kernel_id": "85396"}, {"ref": "shanemeister/notebook-1795ac1b72f5c41bef0c", "kernel_id": "65027"}, {"ref": "shanemeister/run-length-encoding-decoding-in-r", "kernel_id": "65819"}, {"ref": "keisho/notebook-87cc7cd49ca0526291b9", "kernel_id": "84393"}, {"ref": "keisho/notebook-e9d7f99b893eab51eee2", "kernel_id": "84551"}, {"ref": "sylvainpuy/elastic-transform-for-data-augmentation", "kernel_id": "84516"}, {"ref": "ruanzhi/notebook-e03fd58167549bc474c2", "kernel_id": "85129"}, {"ref": "michaelkirschbaum/analysis", "kernel_id": "64787"}, {"ref": "amineteffal/script-aminos-1-2", "kernel_id": "72138"}, {"ref": "karma86/keras-is-there-any-nerve", "kernel_id": "69614"}, {"ref": "tgeral68/notebook-b7e7ad7221144fccc046", "kernel_id": "78337"}, {"ref": "stassl/notebook8bde193edb", "kernel_id": "88238"}, {"ref": "stassl/notebook4b2c565231", "kernel_id": "88235"}, {"ref": "stassl/keras-gaussian2d-layer", "kernel_id": "87937"}, {"ref": "dimskraft/test02", "kernel_id": "70856"}, {"ref": "tsonguyen/ultrasound", "kernel_id": "65184"}, {"ref": "hellothere0113/notebook46cf36e97a", "kernel_id": "89717"}, {"ref": "hexietufts/easy-to-use-keras-imagedatagenerator", "kernel_id": "86388"}, {"ref": "hexietufts/notebookd67d222d0c", "kernel_id": "86313"}, {"ref": "yingdai/notebook-30581c9d10f7ac88b326", "kernel_id": "75776"}, {"ref": "meri73/keras-functional", "kernel_id": "89002"}, {"ref": "hendrysuwanda/notebook-c287a7525bdc77dbf9d5", "kernel_id": "68595"}, {"ref": "jyotiislam/notebook-ba71716c0b5896848d38", "kernel_id": "67905"}, {"ref": "jyotiislam/notebook-36d7379f6439a03acbf4", "kernel_id": "67906"}, {"ref": "jyotiislam/notebook-e08630614aa367a70f93", "kernel_id": "67908"}, {"ref": "jyotiislam/training-images-plus-nerve-area-outline", "kernel_id": "67909"}, {"ref": "marziye/zi-neuron", "kernel_id": "77292"}, {"ref": "marziye/nerve", "kernel_id": "77294"}, {"ref": "marziye/notebook-b2f6719d47d71291dd53", "kernel_id": "76834"}, {"ref": "marziye/notebook-a5c165dab86b4db986c1", "kernel_id": "76592"}, {"ref": "marziye/phyton", "kernel_id": "76569"}, {"ref": "marziye/notebook-9fd12b302a8331a3f11d", "kernel_id": "76571"}, {"ref": "marziye/r-nurve", "kernel_id": "77634"}, {"ref": "marziye/altera-sound", "kernel_id": "88864"}, {"ref": "maver1ck/training-images-plus-nerve-area-outline", "kernel_id": "84905"}, {"ref": "kmenou/notebook-42a3443faf1653e12776", "kernel_id": "79339"}, {"ref": "sionek/animated-images-with-outlined-nerve-area", "kernel_id": "69489"}, {"ref": "sionek/nerve-99", "kernel_id": "73021"}, {"ref": "guiber/exploratory-data-analysis", "kernel_id": "68830"}, {"ref": "petitroid/notebookf78903d849", "kernel_id": "211242"}, {"ref": "tomohirokatayama/notebook361f3e9099", "kernel_id": "86607"}, {"ref": "tomohirokatayama/notebookb44411629f", "kernel_id": "86608"}, {"ref": "wptoux/notebook-38a794c888533452667b", "kernel_id": "78509"}, {"ref": "wptoux/test1-1", "kernel_id": "78512"}, {"ref": "wptoux/notebook-0916c8cea9a07b6d2223", "kernel_id": "78514"}, {"ref": "khudebhakti/notebook-575a6022b6179ac154fd", "kernel_id": "74543"}, {"ref": "upgrade/notebook033031c249", "kernel_id": "89052"}, {"ref": "richarizardd/notebook-42b0e8e1eed227b5e5a3", "kernel_id": "76880"}, {"ref": "yoojchul/notebook-cf95c9a65eb75d6ace98", "kernel_id": "68736"}, {"ref": "test001/tensorflow-cnn", "kernel_id": "95369"}, {"ref": "alexandrasmoloiu/notebook-ced414377b61238ba843", "kernel_id": "74610"}, {"ref": "alexandrasmoloiu/notebookc6520f2f62", "kernel_id": "89749"}, {"ref": "alexlzzz/rl-encoding", "kernel_id": "64946"}, {"ref": "abhinavs01858/outlined-nerve-area-opencv", "kernel_id": "75121"}, {"ref": "jpoles1/maskisolation", "kernel_id": "64773"}, {"ref": "jpoles1/notebook-90b25cef1c0894d740c7", "kernel_id": "64791"}, {"ref": "jpoles1/notebook-c149ea9c379c49585882", "kernel_id": "64792"}, {"ref": "jpoles1/training-images-plus-nerve-area-outline", "kernel_id": "64763"}, {"ref": "dchen71/overlay-nerve-visualization", "kernel_id": "65070"}, {"ref": "vishallakha/nervousiya-1", "kernel_id": "88334"}, {"ref": "vishallakha/doctor-who-season-2", "kernel_id": "77953"}, {"ref": "vishallakha/uns-1-v5", "kernel_id": "77935"}, {"ref": "drzoltar/notebook-ae539a3ad3d0a2a1acbd", "kernel_id": "67674"}, {"ref": "lchang/notebook-29185f04212afb80ff77", "kernel_id": "69500"}, {"ref": "lchang/notebook-e0a31bbdb2205a1ba470", "kernel_id": "69501"}, {"ref": "nnlhoa/test1", "kernel_id": "157930"}, {"ref": "dc4data/notebook-fcde82484d56bf5c4512", "kernel_id": "83879"}, {"ref": "wordsforthewise/ellipse-fit-2c560a82", "kernel_id": "88399"}, {"ref": "wordsforthewise/ellipse-fit", "kernel_id": "87961"}, {"ref": "wordsforthewise/simple-object-detector", "kernel_id": "86133"}, {"ref": "rberdugo/notebook-4598dfe6e9bb40bfd1a9", "kernel_id": "69266"}, {"ref": "rberdugo/notebook-aedef6e3685208f58a21", "kernel_id": "69267"}, {"ref": "camdenclark/testing-3", "kernel_id": "66475"}, {"ref": "camdenclark/notebook-34842cadb10d98922dd7", "kernel_id": "66485"}, {"ref": "lesliechan/notebook-900aebcfed9f4d272933", "kernel_id": "81390"}, {"ref": "aaa7829/ellipse-fit", "kernel_id": "67083"}, {"ref": "ashokt/exploratory-data-analysis", "kernel_id": "78126"}, {"ref": "zhangqinglin/run-length-encode", "kernel_id": "78002"}, {"ref": "mukeshc93/notebook-2c9b31211b5f7f460f13", "kernel_id": "67080"}, {"ref": "weidongzheng/notebook-c6baf15db4679095d097", "kernel_id": "65552"}, {"ref": "suhasbindu/notebook9d5606aa8c", "kernel_id": "166395"}, {"ref": "lyaronskaya/notebook-b2c990074ac10f70a9c1", "kernel_id": "80355"}, {"ref": "namakemono/notebook-79e688374174360a08f7", "kernel_id": "69351"}, {"ref": "namakemono/notebook-fe48b0ecef79fef71357", "kernel_id": "78721"}, {"ref": "maddynit/jhdkjdhkjdhkdj", "kernel_id": "89495"}, {"ref": "maddynit/0-008", "kernel_id": "89455"}, {"ref": "maddynit/111111", "kernel_id": "89491"}, {"ref": "maddynit/0-007", "kernel_id": "89249"}, {"ref": "maddynit/0-006", "kernel_id": "89244"}, {"ref": "maddynit/maddy-nit", "kernel_id": "86635"}, {"ref": "maddynit/notebookb47989e8ac", "kernel_id": "86636"}, {"ref": "maddynit/maddy", "kernel_id": "86631"}, {"ref": "maddynit/notebookc3c2afa7dd", "kernel_id": "86890"}, {"ref": "maddynit/1-001", "kernel_id": "87161"}, {"ref": "lifepreserver/uns-1-v5-jayjay1-foooork", "kernel_id": "89832"}, {"ref": "meeralakhavani/notebook5e5b804c8a", "kernel_id": "85938"}, {"ref": "tunguz/ultrasound-metadata-the-nerve", "kernel_id": "64963"}, {"ref": "tunguz/empty", "kernel_id": "64930"}, {"ref": "tunguz/uns-1-v5", "kernel_id": "84419"}, {"ref": "psidom/nervesystemimg", "kernel_id": "65136"}, {"ref": "anurag173/training-images-plus-nerve-area-outline", "kernel_id": "65209"}, {"ref": "jc052341/keras-is-there-any-nerve", "kernel_id": "70698"}, {"ref": "allanyin8/notebook-33b02e304489013e9109", "kernel_id": "71190"}, {"ref": "myzhou1994/training-images-plus-nerve-area-outline", "kernel_id": "88173"}, {"ref": "myzhou1994/notebook-1d94cbb8954cda9e206c", "kernel_id": "82621"}, {"ref": "myzhou1994/exploratory-data-analysis", "kernel_id": "69360"}, {"ref": "mathemilda/reading-tif-files", "kernel_id": "69986"}, {"ref": "rajveer/notebook-110f2f181a221216c99d", "kernel_id": "78281"}, {"ref": "indian/mislabeled-training-images", "kernel_id": "82118"}, {"ref": "indian/notebook-e80d8a27873bf808a7df", "kernel_id": "82121"}, {"ref": "thangelane/training-images-plus-nerve-area-outline", "kernel_id": "65904"}, {"ref": "zhaolei254/test-script", "kernel_id": "66164"}, {"ref": "angulia/notebooka6f82e62e1", "kernel_id": "86215"}, {"ref": "jocicmarko/mislabeled-training-images", "kernel_id": "82597"}, {"ref": "kc54321/exploratory-data-analysis", "kernel_id": "70473"}, {"ref": "zfturbo/for-fun", "kernel_id": "65302"}, {"ref": "zfturbo/keras-is-there-any-nerve", "kernel_id": "69051"}, {"ref": "zfturbo/mislabeled-training-images-all-images", "kernel_id": "86202"}, {"ref": "loislo/training-images-plus-nerve-area-outline", "kernel_id": "84722"}, {"ref": "loislo/notebook-3d47cec963d3b7eff343", "kernel_id": "84723"}, {"ref": "mijungkim/notebook-0fcd6db86c8935ad7409", "kernel_id": "65842"}, {"ref": "mijungkim/notebook-e9e4122634b4332b1a7e", "kernel_id": "64864"}, {"ref": "harshakvarma/notebook-8c86fc9e839b5c27bc5d", "kernel_id": "85091"}, {"ref": "prashaantsharmaa/exploratory-data-analysis", "kernel_id": "64881"}, {"ref": "jrifai/notebook-1052f8df20af835ce806", "kernel_id": "77265"}, {"ref": "yearnyeen/training-images-plus-nerve-area-outline", "kernel_id": "79923"}, {"ref": "ruifax01/notebook-4b8890d2b3d1819e74fe", "kernel_id": "65815"}, {"ref": "ruifax01/notebook-8d840270378df7344a0a", "kernel_id": "65816"}, {"ref": "ruthwik143/average-mask-for-each-patient", "kernel_id": "76313"}, {"ref": "oleksandrmalinin/notebook-2694197e68224847e383", "kernel_id": "76365"}, {"ref": "scottykwok/notebook-7305447362e84284437e", "kernel_id": "78045"}, {"ref": "mheybpoodh/elastic-transform-for-data-augmentation", "kernel_id": "180592"}, {"ref": "esperto007/exploratory-data-analysis", "kernel_id": "85295"}, {"ref": "zzhanguab/notebookd416dbd39c", "kernel_id": "86647"}, {"ref": "takeshichka/thing", "kernel_id": "64786"}, {"ref": "takeshichka/plot-images", "kernel_id": "64788"}, {"ref": "takeshichka/notebook-3830e9b6127aeca20f2e", "kernel_id": "64789"}, {"ref": "viktxn/uns-1-v5-jayjay1", "kernel_id": "89392"}, {"ref": "dkim0526/notebook-313655942a1d0395ed81", "kernel_id": "81285"}, {"ref": "rsedger/convert-images-to-numpy-arrays", "kernel_id": "73957"}, {"ref": "flagshipdynamics/test1", "kernel_id": "65026"}, {"ref": "flagshipdynamics/test2", "kernel_id": "70002"}, {"ref": "flagshipdynamics/test3", "kernel_id": "70005"}, {"ref": "pionow/my-test-notebook", "kernel_id": "67914"}, {"ref": "heleneh/notebook-edff0a9859c08d8bc56a", "kernel_id": "69780"}, {"ref": "heleneh/notebook-d470e9b5d54d8e97c317", "kernel_id": "69783"}, {"ref": "jiankuang/notebook-c2bfe555da3701069dde", "kernel_id": "82280"}, {"ref": "utrerf/notebook-0957cf97506404452102", "kernel_id": "68169"}, {"ref": "autonuke/ultrasound-nerve", "kernel_id": "86525"}, {"ref": "autonuke/notebook5e3b981081", "kernel_id": "87989"}, {"ref": "autonuke/notebook9b6483e4f2", "kernel_id": "87992"}, {"ref": "anokas/notebook-ae6ffceeced3c3d822f8", "kernel_id": "64701"}, {"ref": "anokas/notebook-8071a9c9ac1efd4f2b7a", "kernel_id": "64702"}, {"ref": "anokas/quick-data-analysis", "kernel_id": "64703"}, {"ref": "anokas/thing", "kernel_id": "64722"}, {"ref": "anokas/runlen", "kernel_id": "64733"}, {"ref": "anokas/run-length-from-list-of-pixels-python", "kernel_id": "65287"}, {"ref": "wentingq/notebook-6bb405863ed7e6b541b3", "kernel_id": "68947"}, {"ref": "wentingq/notebook-75e2c061d51be932c9e9", "kernel_id": "68949"}, {"ref": "planaria/training-images-plus-nerve-area-outline", "kernel_id": "65081"}, {"ref": "planaria/notebook-cb8755674adac55560f7", "kernel_id": "66151"}, {"ref": "zavodrobotov/keras-is-there-any-nerve", "kernel_id": "76982"}, {"ref": "karandewan/notebook-810f9249bc3ea125dffd", "kernel_id": "65195"}, {"ref": "giranntu/notebook-7ba704376358c1afda18", "kernel_id": "79933"}, {"ref": "giranntu/training-images-plus-nerve-area-outline", "kernel_id": "85198"}, {"ref": "riazfidahusein/notebook-5ed146af305aa4200b1a", "kernel_id": "65199"}, {"ref": "mlbgkaggle/notebook-4ae342445368fc5b4fdd", "kernel_id": "77438"}, {"ref": "yffuds/all-masks-average", "kernel_id": "66373"}, {"ref": "yffuds/training-images-plus-nerve-area-outline", "kernel_id": "64850"}, {"ref": "yffuds/elastic-transform-for-data-augmentation", "kernel_id": "84982"}, {"ref": "yffuds/mislabeled-training-images", "kernel_id": "82048"}, {"ref": "yffuds/exploratory-data-analysis", "kernel_id": "74787"}, {"ref": "tedrand/testrun", "kernel_id": "77316"}, {"ref": "aagundez/tensorflow-cnn", "kernel_id": "75239"}, {"ref": "aagundez/notebook-07ab0ab6eed2bc692a01", "kernel_id": "75567"}, {"ref": "aagundez/notebook-5cc16578c38df3361488", "kernel_id": "75568"}, {"ref": "kaggleben2/mislabeled-training-images", "kernel_id": "84863"}, {"ref": "fofof200/notebook-4f61fb7bb5278d689cf6", "kernel_id": "64808"}, {"ref": "fofof200/notebook-b172bc602263c1f55c81", "kernel_id": "66776"}, {"ref": "roberttkelly/run-length", "kernel_id": "80757"}, {"ref": "roberttkelly/plot-images", "kernel_id": "80440"}, {"ref": "roberttkelly/notebook-4c4a4722e654deb6b8d4", "kernel_id": "80441"}, {"ref": "roberttkelly/notebook-71a6766ddd272d99e2c7", "kernel_id": "80447"}, {"ref": "roberttkelly/notebook-8755baf221611fd71bf2", "kernel_id": "80468"}, {"ref": "roberttkelly/notebook-49ec78d7ba4cb92914f7", "kernel_id": "80589"}, {"ref": "roberttkelly/notebook-869024efbc9e12ba421d", "kernel_id": "79652"}, {"ref": "roberttkelly/notebook-7d96025134c3ca3eaa7c", "kernel_id": "79653"}, {"ref": "roberttkelly/notebook-dd2695d364a2b35862f5", "kernel_id": "79654"}, {"ref": "roberttkelly/notebook-919063edd675e0d26aae", "kernel_id": "79665"}, {"ref": "farzanthekaggler/notebook-4f5880ef81c486561e27", "kernel_id": "65560"}, {"ref": "lemniscate/animated-images-with-outlined-nerve-area", "kernel_id": "71407"}, {"ref": "kaggleval/all-masks-average", "kernel_id": "71259"}, {"ref": "mikeyhu2014/notebook34c6dace49", "kernel_id": "89021"}, {"ref": "mikeyhu2014/keras-is-there-any-nerve", "kernel_id": "89022"}, {"ref": "mikeyhu2014/notebook2503132588", "kernel_id": "89024"}, {"ref": "mikeyhu2014/notebook0e47f88903", "kernel_id": "88353"}, {"ref": "mikeyhu2014/notebookf8628f23a6", "kernel_id": "88354"}, {"ref": "mehrtash/training-images-plus-nerve-area-outline", "kernel_id": "64865"}, {"ref": "mehrtash/notebook-da783d5ad2219071749f", "kernel_id": "64866"}, {"ref": "mehrtash/notebook-39ddb74c1f3ab2b19d2d", "kernel_id": "64867"}, {"ref": "mehrtash/test-version", "kernel_id": "68479"}, {"ref": "anmutaka/sample-us-2", "kernel_id": "72784"}, {"ref": "achraf112/fork-mislabeled-training-images", "kernel_id": "92650"}, {"ref": "baruchg/notebook-fa23f5ee5a67d1cd0b47", "kernel_id": "68683"}, {"ref": "vibs4data/exploratory-data-analysis", "kernel_id": "338960"}, {"ref": "dsuser/notebook-8b119895312c06fd914c", "kernel_id": "67088"}, {"ref": "dsuser/training-images-plus-nerve-area-outline", "kernel_id": "67090"}, {"ref": "lywen52/notebook-6b5c758767244195b7ff", "kernel_id": "67461"}, {"ref": "jihyeseo/ultrasound-nerve-segment-image-neck", "kernel_id": "958700"}, {"ref": "zhangjunphy/notebook-ea5d14bdd32244f283c9", "kernel_id": "72176"}, {"ref": "kazuma/notebook-6a16862a2adf29e6e366", "kernel_id": "67563"}, {"ref": "kazuma/notebook-2456314eba1ea48e2050", "kernel_id": "67568"}, {"ref": "federer/notebook-a168a89574eddf3a8112", "kernel_id": "72442"}, {"ref": "www128/notebook-d3a56a6be20abab8d7ba", "kernel_id": "79657"}, {"ref": "feynmanium/notebook365a8d234e", "kernel_id": "152936"}, {"ref": "usman7/notebook-fbd376a05dc01f63d876", "kernel_id": "66856"}, {"ref": "hbwinther/ml-hands-on-u-net", "kernel_id": "486040"}, {"ref": "huxwell/notebook-cd5e151023f227f72c0e", "kernel_id": "75138"}, {"ref": "huxwell/elastic-transform-for-data-augmentation", "kernel_id": "124760"}, {"ref": "yihaoxia/training-images-plus-nerve-area-outline", "kernel_id": "70546"}, {"ref": "om1042/training-images-plus-nerve-area-outline", "kernel_id": "89318"}, {"ref": "om1042/uns-1-v5-jayjay1", "kernel_id": "86744"}, {"ref": "yadavsarthak/gotta-try", "kernel_id": "89031"}, {"ref": "sukiakiumo/training-images-plus-nerve-area-outline", "kernel_id": "65462"}, {"ref": "dammaill/notebook-64a900f624661c5cadf1", "kernel_id": "77040"}, {"ref": "sarker/test-pyhton", "kernel_id": "67578"}, {"ref": "zacharias/notebook-e245d8194dc4ee021e08", "kernel_id": "71788"}, {"ref": "zacharias/notebook-24d9cd9f13c976cc6ac6", "kernel_id": "71789"}, {"ref": "zacharias/notebook-4cc7fe2a7296e067f72f", "kernel_id": "70447"}, {"ref": "amovschin/random-image-rotation", "kernel_id": "78696"}, {"ref": "willscottjackson/image", "kernel_id": "64996"}, {"ref": "secretsasquatch/uns-1", "kernel_id": "76744"}, {"ref": "secretsasquatch/notebook-511f641a48541890fa49", "kernel_id": "76746"}, {"ref": "informprakash/ultrasound-nerve-segmentation", "kernel_id": "70663"}, {"ref": "bonacinalucaasp/notebook-638460dbc2a6496a9325", "kernel_id": "65257"}, {"ref": "davidlibland/training-images-plus-nerve-area-outline", "kernel_id": "70524"}, {"ref": "davidlibland/ellipse-fit", "kernel_id": "70525"}, {"ref": "kirillaz/notebook-112928218dd70ee0a026", "kernel_id": "84852"}, {"ref": "elbernante/yet-another-run-length-encoding-function", "kernel_id": "69506"}, {"ref": "thomasekeller/notebook-16611d8a6349cef1e20e", "kernel_id": "66763"}, {"ref": "hammond/notebook-68f1771cc8feb3bd8f28", "kernel_id": "66114"}, {"ref": "jarboleda/notebook-d9c56fc774642807338b", "kernel_id": "65101"}, {"ref": "guilhermeprokisch/notebook-8c433e12d6a76f81e737", "kernel_id": "70026"}, {"ref": "nick0705/notebooka318f3b97e", "kernel_id": "114971"}, {"ref": "ebrion/notebook771e82a4fb", "kernel_id": "91082"}, {"ref": "puxuan/training-images-plus-nerve-area-outline", "kernel_id": "65468"}, {"ref": "ievava/data-augmentation", "kernel_id": "82252"}, {"ref": "suryaeada/image-processing-nerve-segmentation", "kernel_id": "76154"}, {"ref": "avac74/notebook-7dd5bffd10348ea12e96", "kernel_id": "67302"}, {"ref": "avac74/applying-a-function-to-parts-of-an-image", "kernel_id": "67346"}, {"ref": "wilsbj/notebook-603ece6987855a7aa210", "kernel_id": "64879"}, {"ref": "carolinewang/testfile", "kernel_id": "70557"}, {"ref": "johannesgh/notebook-ea18d60d78a1c048d423", "kernel_id": "84889"}, {"ref": "johannesgh/notebook-71202dc2181972d04e6e", "kernel_id": "84886"}, {"ref": "johannesgh/why-the-fuck-can-t-i-delete-this", "kernel_id": "64914"}, {"ref": "dibule/notebook7a7fa2cb32", "kernel_id": "86670"}, {"ref": "cavin2015/ultrasound-metadata-the-nerve", "kernel_id": "65545"}, {"ref": "jjcobas/notebook-f5b02b6a43b18bc6b8be", "kernel_id": "71142"}, {"ref": "richardbanh/notebook-7f08822f23c5cc2043de", "kernel_id": "82743"}, {"ref": "richardbanh/test-book", "kernel_id": "82744"}, {"ref": "thomasal/notebook7e82b59286", "kernel_id": "233424"}, {"ref": "flaviot65/done1", "kernel_id": "66613"}, {"ref": "clairetang/notebook-c8a4fc8630aeabf19260", "kernel_id": "66677"}, {"ref": "rossamcatee/all-masks-average", "kernel_id": "76736"}, {"ref": "burtmacklin/training-images-plus-nerve-area-outline", "kernel_id": "67089"}, {"ref": "arpishar/testing-skills", "kernel_id": "84624"}, {"ref": "arpishar/notebook-baaea971e4a83d5896ac", "kernel_id": "84504"}, {"ref": "arpishar/testa", "kernel_id": "84302"}, {"ref": "arpishar/sample", "kernel_id": "84298"}, {"ref": "arpishar/reading-images", "kernel_id": "84343"}, {"ref": "arpishar/running-script", "kernel_id": "84456"}, {"ref": "tanmaymodak27/notebook-f4f30cfeb030e6421944", "kernel_id": "67055"}, {"ref": "tanmaymodak27/notebook-afd8ae947eff8e084ade", "kernel_id": "67056"}, {"ref": "tanmaymodak27/test1", "kernel_id": "67058"}, {"ref": "tanmaymodak27/notebook-8f3be01072aa05b29485", "kernel_id": "67059"}, {"ref": "flynnm/notebook-e6abfb05f526702163d1", "kernel_id": "68859"}, {"ref": "charlessweetland/notebook-e4129f01d45c9a8a503e", "kernel_id": "72334"}, {"ref": "tongda/tf-run", "kernel_id": "86107"}, {"ref": "songjs/notebook-67c331e34a50fef1a529", "kernel_id": "68251"}, {"ref": "alfioemanuele/notebook5789630f09", "kernel_id": "88133"}, {"ref": "alpelci/notebook-906fcfefec24e92c61f3", "kernel_id": "68735"}, {"ref": "wood717/notebook-e5b9ea9d43919fdb6160", "kernel_id": "68846"}, {"ref": "ajames4j/notebook-df3afc1bb2297424a509", "kernel_id": "69454"}, {"ref": "ajames4j/notebook-f57e7a79350e5938b4f5", "kernel_id": "68944"}, {"ref": "shadowyell/testo", "kernel_id": "74642"}, {"ref": "shadowyell/sid-ian-test", "kernel_id": "74643"}, {"ref": "c4goldsw/mislabeled-training-images", "kernel_id": "86482"}, {"ref": "c4goldsw/mislabeled-training-images-114078b4-fork", "kernel_id": "86483"}, {"ref": "adius12/eloborate155", "kernel_id": "69007"}, {"ref": "roberto88/notebook-8c2d2dde7b604506099a", "kernel_id": "69057"}, {"ref": "gaowxu/keras-is-there-any-nerve", "kernel_id": "74041"}, {"ref": "mixflow/datatest", "kernel_id": "87106"}, {"ref": "jeffzhengye/notebook-b0e7ef86e5bd38f9716e", "kernel_id": "70342"}, {"ref": "raghakot/easier-keras-imagedatagenerator", "kernel_id": "87828"}, {"ref": "raghakot/notebookf15d61623f", "kernel_id": "87825"}, {"ref": "sharmilan/hihhhhh", "kernel_id": "70671"}, {"ref": "synchronicity27/notebook-6512dc3bb82227db2b70", "kernel_id": "75421"}, {"ref": "synchronicity27/notebook-8ccaf6b875b27fa53c9e", "kernel_id": "75424"}, {"ref": "synchronicity27/notebook-70d4cd145e9501faa148", "kernel_id": "76254"}, {"ref": "synchronicity27/notebook-4bb4ea93c2cbc0bc2290", "kernel_id": "76255"}, {"ref": "synchronicity27/notebook-db532435565e2291ada9", "kernel_id": "76250"}, {"ref": "synchronicity27/notebook-e655d1504959f0a73809", "kernel_id": "76252"}, {"ref": "amirabdi/notebook-83fd84f938b6553f1066", "kernel_id": "71087"}, {"ref": "juggernauthk108/hello", "kernel_id": "71421"}, {"ref": "moeketsi/notebook-b6b4549a8466899009dc", "kernel_id": "73060"}, {"ref": "moeketsi/notebook-185f5dae1661a9596a6f", "kernel_id": "73041"}, {"ref": "jonathanbraz/elastic-transform-for-data-augmentation", "kernel_id": "80480"}, {"ref": "ynzhang/notebook-ee3af3aa7763bb95248e", "kernel_id": "77034"}, {"ref": "tommyyama/test-script", "kernel_id": "72554"}, {"ref": "tommyyama/notebook-5c5f1406c5d9aa319708", "kernel_id": "72856"}, {"ref": "devdheeraj/notebook-2b5559c79f61d0a9f06f", "kernel_id": "72216"}, {"ref": "purplemonstre/notebook-18cbefe6ea815ce81cf7", "kernel_id": "72367"}, {"ref": "purplemonstre/test1-just-to-test", "kernel_id": "72368"}, {"ref": "sdrdis/test-1", "kernel_id": "72408"}, {"ref": "limjaeminn/notebook-235a8d1b53a885cf8248", "kernel_id": "72830"}, {"ref": "canardboiteux/notebook-c92cc33a86c3fb936286", "kernel_id": "72836"}, {"ref": "kastugeneration/visualize-mask", "kernel_id": "85644"}, {"ref": "drivkin/test-script", "kernel_id": "72938"}, {"ref": "larryzh/tensorflow-cnn", "kernel_id": "76013"}, {"ref": "mirzap/notebook-552da217f6ca7aa45eba", "kernel_id": "73035"}, {"ref": "mirzap/notebook-615716d65d48f5de5558", "kernel_id": "73037"}, {"ref": "mirzap/notebook-d851f84be8458fefdaf1", "kernel_id": "73038"}, {"ref": "apoorvkumar91/notebook-e08d9f3bc3358d273a32", "kernel_id": "75618"}, {"ref": "franchig/notebook-2ce767ad9e2bb15790a3", "kernel_id": "79736"}, {"ref": "kburk1997/classification", "kernel_id": "73656"}, {"ref": "joydeepmedhi/train-py", "kernel_id": "967245"}, {"ref": "fishface/notebook-523e1528d3adc4689d14", "kernel_id": "74878"}, {"ref": "fishface/notebook-3c2bed46a0c0e023bfc6", "kernel_id": "84169"}, {"ref": "rishydev/abcasdsd", "kernel_id": "73778"}, {"ref": "agalea91/notebook-4dc8872b3bdec6ff80a4", "kernel_id": "80818"}, {"ref": "agalea91/mislabeled-training-images", "kernel_id": "80810"}, {"ref": "agalea91/notebook-f0a207b468477ae38da6", "kernel_id": "80811"}, {"ref": "agalea91/notebook-a379bf4bd57ee0921848", "kernel_id": "80812"}, {"ref": "agalea91/notebook-55b1fd45ac87d50791bb", "kernel_id": "80814"}, {"ref": "agalea91/fork-of-mislabeled-training-images", "kernel_id": "86295"}, {"ref": "nkabram/notebook-9bc6c8da58f3057746d4", "kernel_id": "73983"}, {"ref": "idealedge/training-images-plus-nerve-area-outline", "kernel_id": "86737"}, {"ref": "coefficient49/notebook-7c525e84ce74c5ba99f8", "kernel_id": "74413"}, {"ref": "edgarxi/notebook-81d6bdf9a0a6a9dd19a4", "kernel_id": "76239"}, {"ref": "tthtlc/maskisolation", "kernel_id": "77317"}, {"ref": "tthtlc/elastic-transform-for-data-augmentation", "kernel_id": "77305"}, {"ref": "tthtlc/notebook-2f15d83ae348d467a3c1", "kernel_id": "77307"}, {"ref": "tthtlc/notebook-a3ac4486757b60e105c7", "kernel_id": "77982"}, {"ref": "tthtlc/notebook-5977b0fadbd31e3b8ded", "kernel_id": "78062"}, {"ref": "tthtlc/training-images-plus-nerve-area-outline", "kernel_id": "77397"}, {"ref": "jgqhsqzx/notebook-67672bd25b614c69bd6a", "kernel_id": "75308"}, {"ref": "gchahine/notebook-3d4e8a583496e5b0a507", "kernel_id": "75830"}, {"ref": "gchahine/notebook-18d8b05182da5d6e93ac", "kernel_id": "77091"}, {"ref": "pedroabelleira/notebook-2e93170e774f5e99c7a9", "kernel_id": "75816"}, {"ref": "adriaan/mislabeled-training-images", "kernel_id": "81992"}, {"ref": "gbouts/notebook-9959bb95a5094bc8f122", "kernel_id": "77771"}, {"ref": "gbouts/notebook-327e89624739e2ec1240", "kernel_id": "77772"}, {"ref": "christophoros/notebook-70982fbdd701c9ede4d1", "kernel_id": "77111"}, {"ref": "perterpon/liangyue-test", "kernel_id": "76738"}, {"ref": "yoniko/notebook-f12ffe7383ff17e10c5d", "kernel_id": "76811"}, {"ref": "vikkumar/notebook-d4e9c801a63e3e6e7d1f", "kernel_id": "77572"}, {"ref": "zishan/experiment", "kernel_id": "77776"}, {"ref": "chuckk/notebook-602fc6c480b7db7aa276", "kernel_id": "78163"}, {"ref": "kacper1095/elastic-transform-for-data-augmentation", "kernel_id": "88686"}, {"ref": "ymamatha/testin-the-code", "kernel_id": "84378"}, {"ref": "purple/notebook-8cd9e03a0554b90a2aef", "kernel_id": "80418"}, {"ref": "purple/notebook-c912f86e2446996819bf", "kernel_id": "79466"}, {"ref": "avgaydashenko/notebook-8b849f25ae31f6646551", "kernel_id": "84101"}, {"ref": "avgaydashenko/notebook-168ee8244486f3f25eac", "kernel_id": "80286"}, {"ref": "aspizc/notebook-051726f59ea8318bde34", "kernel_id": "79775"}, {"ref": "seangeiger/notebook-36fca660107b37c9b319", "kernel_id": "79844"}, {"ref": "lalitgaur45/elastic-transform-for-data-augmentation", "kernel_id": "194456"}, {"ref": "pythagorasaurusrex/notebook-2fee8f1390a69b490d71", "kernel_id": "81130"}, {"ref": "pythagorasaurusrex/notebook-83f13330746d49975a76", "kernel_id": "81161"}, {"ref": "pythagorasaurusrex/notebook-c90122ee627c582c20cb", "kernel_id": "81162"}, {"ref": "jianfengchi/data-augmentation", "kernel_id": "116652"}, {"ref": "jianfengchi/mislabeled-training-images", "kernel_id": "116653"}, {"ref": "kevinmauro/notebook-b70015a497f06c54962b", "kernel_id": "81887"}, {"ref": "db1182/notebooka80ca30e3a", "kernel_id": "85842"}, {"ref": "db1182/notebook8d4aa60e91", "kernel_id": "85843"}, {"ref": "db1182/notebook332f394bc4", "kernel_id": "85838"}, {"ref": "roman90/exploratory-data-analysis", "kernel_id": "86969"}, {"ref": "roman90/training-images-plus-nerve-area-outline-9fa8dacb", "kernel_id": "86960"}, {"ref": "roman90/average-mask-for-each-patient", "kernel_id": "86967"}, {"ref": "roman90/animated-images-with-outlined-nerve-area", "kernel_id": "86963"}, {"ref": "roman90/tensorflow-cnn", "kernel_id": "87216"}, {"ref": "cyjia15/test-kaggle", "kernel_id": "84385"}, {"ref": "cyjia15/notebook-ef2a048821daaf2c58de", "kernel_id": "84531"}, {"ref": "viktvv/notebookbe1e748941", "kernel_id": "86298"}, {"ref": "cogpar/notebookdfe7914bef", "kernel_id": "86605"}, {"ref": "barbash/notebook0c39a1e557", "kernel_id": "88064"}, {"ref": "hemantji/shali", "kernel_id": "86944"}, {"ref": "uxmanaxam/usmanazam", "kernel_id": "87522"}, {"ref": "mahdi2016/mahdi2016", "kernel_id": "89214"}, {"ref": "azadef/test-1", "kernel_id": "89304"}, {"ref": "sativa/testww", "kernel_id": "89654"}, {"ref": "fuckcraft/notebook4c6a9dacdc", "kernel_id": "154771"}, {"ref": "fuckcraft/notebook88212dcbc6", "kernel_id": "154764"}, {"ref": "sandyl/notebook556be71ea5", "kernel_id": "154022"}, {"ref": "fighteryou/notebook2dd3e22abd", "kernel_id": "127288"}, {"ref": "akhileshk/image-segmentation", "kernel_id": "136875"}, {"ref": "punkdified/notebook1ead72482e", "kernel_id": "169346"}, {"ref": "napstar/notebookc62c1dd8d8", "kernel_id": "116636"}, {"ref": "potatoface/roi-segmentation", "kernel_id": "223245"}, {"ref": "anatastasia/keras-is-there-any-nerve", "kernel_id": "125250"}, {"ref": "robburdon/notebook60da8593dc", "kernel_id": "132416"}, {"ref": "robburdon/fork-of-keras-test", "kernel_id": "133274"}, {"ref": "robburdon/fork-of-keras-test-e7823142", "kernel_id": "133275"}, {"ref": "robburdon/fork-of-keras-test-45d7b2f5", "kernel_id": "133276"}, {"ref": "robburdon/fork-of-keras-test-1eedb3fb", "kernel_id": "133277"}, {"ref": "artyte/notebookb05ade7315", "kernel_id": "182817"}, {"ref": "carolinauah/notebook8dc72ea28b", "kernel_id": "159109"}, {"ref": "lihaichun/notebookbb68b4ec52", "kernel_id": "165350"}, {"ref": "larrydigital/notebookf78385086b", "kernel_id": "165648"}, {"ref": "shinha/notebooke9e65995f3", "kernel_id": "205917"}, {"ref": "couldntbefancier/pytorch-implementation", "kernel_id": "352240"}, {"ref": "tanlikesmath/ultrasound-nerve-segmentation-fastai-densenet", "kernel_id": "3171426"}, {"ref": "tanlikesmath/ultrasound-nerve-segmentation-with-fastai", "kernel_id": "3127879"}, {"ref": "micajoumathematics/my-first-semantic-segmentation-keras-u-net", "kernel_id": "3861973"}, {"ref": "gbatchkala/urss-final-code-script", "kernel_id": "5484777"}, {"ref": "iurii8000/ultrasound-nerve-segmentation-with-fastai", "kernel_id": "5467503"}, {"ref": "kimheesu/ultrasound-nerve-segmentation-mi2rl", "kernel_id": "5307727"}, {"ref": "theyoonicon/us-nerve-detection", "kernel_id": "5060014"}, {"ref": "gbatchkala/urss-2019-project-review", "kernel_id": "6202235"}, {"ref": "gbatchkala/edward-tyantov-edited-py", "kernel_id": "6564067"}, {"ref": "prashantkh19/ultrasound-nerve-segmentation", "kernel_id": "7121198"}, {"ref": "gbatchkala/urss-final-code-script-mc-dropout", "kernel_id": "7660014"}, {"ref": "wangzekungao/ece-5780-group-3-wangzekun-gao", "kernel_id": "8935971"}, {"ref": "sinchubhat/nerve-segmentation-using-monk-object-detection", "kernel_id": "9818508"}, {"ref": "rifatahommed/my-first-semantic-segmentation-keras-u-net-kfold", "kernel_id": "9701506"}, {"ref": "apexali/unet-cnn-55-acc", "kernel_id": "9142509"}, {"ref": "mdbadiuzzamanshuvo/my-first-semantic-segmentation-keras-u-net-kfold", "kernel_id": "9797844"}, {"ref": "wangzekungao/first-version", "kernel_id": "9237046"}, {"ref": "wangzekungao/gray-level-dependence", "kernel_id": "9233600"}, {"ref": "wangzekungao/wangzekun-gao", "kernel_id": "9202782"}, {"ref": "rifatahommed/kernel67d3186a13", "kernel_id": "10197689"}, {"ref": "rifatahommed/kernel4119c82921", "kernel_id": "10203524"}, {"ref": "rifatahommed/ultrsound-nerve-segmentation-using-segnet", "kernel_id": "10393177"}, {"ref": "rifatahommed/my-first-semantic-segmentation-using-transcgunet", "kernel_id": "10378026"}, {"ref": "rifatahommed/ultrasound-using-transresu-net-4-blocks", "kernel_id": "10735605"}, {"ref": "rifatahommed/hist-v-my-first-semantic-segmentation-using-transr", "kernel_id": "10678922"}, {"ref": "rifatahommed/my-first-semantic-segmentation-keras-segnet-kfold", "kernel_id": "10999947"}, {"ref": "mdbadiuzzamanshuvo/my-first-semantic-segmentation-keras-segnet-kfold", "kernel_id": "10410779"}, {"ref": "mdbadiuzzamanshuvo/my-first-semantic-segmentation-keras-multiresu-ne", "kernel_id": "10282897"}, {"ref": "mdbadiuzzamanshuvo/my-first-sem-segmn-using-imptransresu-net", "kernel_id": "11145113"}, {"ref": "rifatahommed/ultrasound-nerve-segmentation-using-u-net-f1", "kernel_id": "12224204"}, {"ref": "rifatahommed/ultrasound-nerve-segmentation-transcgunet-f1", "kernel_id": "12224035"}, {"ref": "kidoen/pytorch-nerve-segmentation-resnet101", "kernel_id": "13729910"}, {"ref": "kidoen/pytorch-customunet-kfold", "kernel_id": "13758537"}, {"ref": "abhirajkanse/notebook1c04244456", "kernel_id": "13334184"}, {"ref": "zahrtech/ultrasound-nerve-segmentation-with-fastai", "kernel_id": "13189660"}, {"ref": "romanabramovich/tad-lab3", "kernel_id": "15828539"}, {"ref": "raynir/notebookca960ef698", "kernel_id": "15894584"}, {"ref": "nikitagankin/lab3-tad", "kernel_id": "15900189"}, {"ref": "daryamikh/lab-3-unet", "kernel_id": "15913768"}, {"ref": "vladislavmymlikov/lab-work-3", "kernel_id": "15716004"}, {"ref": "maximbarakhtaev/notebook6d177527bd", "kernel_id": "15979282"}, {"ref": "maxfarafonov/notebook-lab-3", "kernel_id": "15717600"}, {"ref": "levkislov/notebookb00847e56d", "kernel_id": "15993644"}, {"ref": "bobsideshow/pytorch-smp-resnet34-unet", "kernel_id": "15668039"}, {"ref": "maximkovito/nerve-segmentation-unet", "kernel_id": "15675072"}, {"ref": "danilfilimonov/notebook793cc23713", "kernel_id": "16332994"}, {"ref": "artyomgarbart/lab-3", "kernel_id": "16041503"}, {"ref": "rifatahommed/ultrasound-nerve-segmentation-w-o-res-path", "kernel_id": "17900085"}, {"ref": "coregang/computer-statistical-analysis-of-data-5th-lab", "kernel_id": "17178560"}, {"ref": "vidushibhatia/2-ultrasound-nerve-seg-unet-from-scratch", "kernel_id": "21134569"}, {"ref": "harolddiaz5312/1erentregable-cvproject", "kernel_id": "22222368"}, {"ref": "quybaohoang/resnet50-unet-pytorch", "kernel_id": "24017063"}, {"ref": "ghanatej/ultrasoundnotebook2cbea42066", "kernel_id": "33638595"}, {"ref": "meryembelk/belkaid-meryem-sayout-nada-segmentation", "kernel_id": "33177462"}, {"ref": "somersettuska/mynet", "kernel_id": "35904062"}, {"ref": "aditya9790/nerve-segmentation", "kernel_id": "35502218"}, {"ref": "ghanatej/4th-group", "kernel_id": "38407530"}, {"ref": "studyofslag/u-net-medical-segementation", "kernel_id": "38431293"}, {"ref": "coinshot/ultrasound-nerve-segmentation-model", "kernel_id": "44302446"}, {"ref": "qmarva/ultrasound-nerve-segmentation", "kernel_id": "47098331"}, {"ref": "amirhosseinzali/keygen2", "kernel_id": "62492821"}, {"ref": "amirhosseinzali05/deepkeygen", "kernel_id": "62087588"}, {"ref": "sariitani/ultrasound-nerve-segmentation-with-fastai", "kernel_id": "65148779"}, {"ref": "sariitani/ultrasound-nerve-segmentation-with-fastai-662219", "kernel_id": "65199067"}, {"ref": "spin11236/notebook575ae7c247", "kernel_id": "69049590"}, {"ref": "essaidifatma/ultrasound-nerve-segmentation-with-fastai-662219", "kernel_id": "72688332"}, {"ref": "harrykesh/student-teacher-approach", "kernel_id": "92824880"}, {"ref": "apotheosis10905/notebooka5ef153c3d", "kernel_id": "102542082"}, {"ref": "nguyntrnhuy/unet-and-friends", "kernel_id": "104478757"}, {"ref": "huy932005/classifunet", "kernel_id": "104643798"}, {"ref": "huy932005/notebooka5ef153c3d", "kernel_id": "105182825"}, {"ref": "mihikamaheshwari03/unet-nerve", "kernel_id": "108770554"}, {"ref": "kandurimanideep/ultrasuond-nerve-segmentation", "kernel_id": "115446178"}]}
{"competition_id": "5145", "kernels": []}
{"competition_id": "5167", "kernels": []}
{"competition_id": "5169", "kernels": [{"ref": "tanapolnuatho/cnn-homework-ipynb-1024", "kernel_id": "67404192"}]}
{"competition_id": "5171", "kernels": []}
{"competition_id": "5174", "kernels": [{"ref": "alexxanderlarko/exp1606-2", "kernel_id": "71567"}, {"ref": "domcastro/notebook-c1a0f8bad82275f7731f", "kernel_id": "64334"}, {"ref": "abhishek/logistict-regression", "kernel_id": "60812"}, {"ref": "invinciblejha/python-xgboost-starter-0-74", "kernel_id": "70765"}, {"ref": "willieliao/r-xgboost-example", "kernel_id": "76752"}, {"ref": "paolobozzola/notebook-ee5c3cb41e1551272e3d", "kernel_id": "68580"}, {"ref": "dmytrolystopad/r-xgboost-example", "kernel_id": "76990"}, {"ref": "weizhezhang/python-xgboost-starter-0-74", "kernel_id": "71719"}, {"ref": "wendykan/list-of-files", "kernel_id": "60633"}, {"ref": "thakurrajanand/glm-0-61", "kernel_id": "60734"}, {"ref": "rudikruger/r-xgboost-example", "kernel_id": "62570"}, {"ref": "rudikruger/no-images", "kernel_id": "62024"}, {"ref": "rudikruger/glm-0-61", "kernel_id": "62036"}, {"ref": "valadi/moving-up-the-lb", "kernel_id": "76593"}, {"ref": "valadi/adad-1-1", "kernel_id": "75482"}, {"ref": "alexig/notebook-c73c6e0a6a2817675fae", "kernel_id": "68546"}, {"ref": "dimon0981/python-xgboost-starter-0-74", "kernel_id": "64595"}, {"ref": "dimon0981/python-xgboost-starter-0-77", "kernel_id": "64604"}, {"ref": "company/adad-1", "kernel_id": "62789"}, {"ref": "company/xgb-1", "kernel_id": "61323"}, {"ref": "company/adad1", "kernel_id": "61366"}, {"ref": "company/logistict-regression", "kernel_id": "60826"}, {"ref": "pietromarinelli/test-ad-1", "kernel_id": "70818"}, {"ref": "nooreen/notebook-7a654ba8d2e183314b12", "kernel_id": "61605"}, {"ref": "datenkieker/notebook-72adc9536ecd833b7017", "kernel_id": "61009"}, {"ref": "datenkieker/all-0", "kernel_id": "60722"}, {"ref": "hamilyon/tf-test", "kernel_id": "77449"}, {"ref": "brig06/notebook-f733c6f7c56abc6eb60d", "kernel_id": "65895"}, {"ref": "rightfit/notebook-5b3b4bf67fcd9c8879c5", "kernel_id": "61745"}, {"ref": "rightfit/get-hash-from-images", "kernel_id": "61748"}, {"ref": "triskelion/messing-about", "kernel_id": "61921"}, {"ref": "krismetha/notebook-f7be212555e8f14b932e", "kernel_id": "74054"}, {"ref": "vhatingu/notebook-f1f5181098ee99d7ec92", "kernel_id": "64164"}, {"ref": "sujeelee/notebook-05730c9769265ac4935f", "kernel_id": "71570"}, {"ref": "denisgordeev/notebook-e9b503091713e379546e", "kernel_id": "71224"}, {"ref": "jwegas/first-look", "kernel_id": "61035"}, {"ref": "nekopandaminer/notebook-2b8a34b15337060c6e8e", "kernel_id": "66286"}, {"ref": "outliar/python-xgboost-starter-0-74", "kernel_id": "62164"}, {"ref": "drarfc/r-xgboost-example", "kernel_id": "76693"}, {"ref": "potterxu/avito-ad", "kernel_id": "60964"}, {"ref": "alfiyaismagilova/notebook-1125dafe87c47b5161f8", "kernel_id": "61151"}, {"ref": "jaycb26/separate-lives-white-nights", "kernel_id": "77068"}, {"ref": "jaycb26/notebook-0223ab57c5816d9baff9", "kernel_id": "77069"}, {"ref": "dasimagin/notebook-8f7ef25cb3631371bdac", "kernel_id": "63523"}, {"ref": "webvillage/test-script", "kernel_id": "66384"}, {"ref": "edwingraham/r-xgboost-example", "kernel_id": "62463"}, {"ref": "adarshchavakula/glm-0-61", "kernel_id": "60777"}, {"ref": "oleksiirenov/separate-lives-white-nights", "kernel_id": "75291"}, {"ref": "amirkalron/amirplayground", "kernel_id": "64847"}, {"ref": "poiss0nriot/notebook-ef0969d49a3d72e33e12", "kernel_id": "75185"}, {"ref": "sujeeth/xgb-logreg-on-titles-0-75", "kernel_id": "74608"}, {"ref": "darraghdog/notebook-784852062c013351c7b3", "kernel_id": "75433"}, {"ref": "karimamer/data-visualization", "kernel_id": "67766"}, {"ref": "karimamer/notebook-979c816033a6e75b25fc", "kernel_id": "67772"}, {"ref": "karimamer/notebook-1e921ca2055498eab36b", "kernel_id": "67773"}, {"ref": "karimamer/notebook-ae3fa612bb0c36858433", "kernel_id": "67780"}, {"ref": "karimamer/notebook-0c47ce321a1dbe3b2a95", "kernel_id": "67782"}, {"ref": "karimamer/notebook-891161337392699cbc9b", "kernel_id": "67783"}, {"ref": "karimamer/notebook-bc579fede838aa27ec87", "kernel_id": "67786"}, {"ref": "karimamer/notebook-3994d3a9ad93029bec70", "kernel_id": "67788"}, {"ref": "ddrbcn/adad-1-1", "kernel_id": "76484"}, {"ref": "abiirokzz/adad-1", "kernel_id": "75076"}, {"ref": "vaheed/logistict-regression", "kernel_id": "60758"}, {"ref": "bguberfain/notebook-ce6630f60777a9192c54", "kernel_id": "83963"}, {"ref": "bguberfain/notebook-6e09af21d9fadd8b496d", "kernel_id": "83945"}, {"ref": "bguberfain/get-hash-from-images-4x-faster", "kernel_id": "83947"}, {"ref": "chevli/notebook-298bf89aa477a677bf8b", "kernel_id": "60696"}, {"ref": "chevli/notebook-dd82598e1e9280769f78", "kernel_id": "60697"}, {"ref": "chevli/get-hash-from-images-in-parallel", "kernel_id": "63660"}, {"ref": "florianriche/notebook-6a3e4e9a938362dd6d7b", "kernel_id": "72140"}, {"ref": "florianriche/experimentation", "kernel_id": "72355"}, {"ref": "lalitm/notebook-98e6d283121ec09d2c24", "kernel_id": "73970"}, {"ref": "lalitm/notebook-1e87f95b7a754ad2e4ca", "kernel_id": "73961"}, {"ref": "lalitm/notebook-0dfee3deba55c6fe64c8", "kernel_id": "73962"}, {"ref": "lalitm/notebook-9346fc8fe944d9bf847a", "kernel_id": "73977"}, {"ref": "rasimakhunzyanov/notebook-4c9e538b7425fb4659df", "kernel_id": "61329"}, {"ref": "innovismail/notebook-fb045a461e68a2f5c431", "kernel_id": "63717"}, {"ref": "innovismail/notebook-f44b7836b3da1c71ca08", "kernel_id": "68730"}, {"ref": "innovismail/notebook-a5d84384d9c3624570ec", "kernel_id": "68733"}, {"ref": "junk1e/notebook-4a43db2f211995e163a9", "kernel_id": "61752"}, {"ref": "junk1e/notebook-1fa63aa2de06b250dc2d", "kernel_id": "61753"}, {"ref": "iezepov/notebook-056874d622c680667b0f", "kernel_id": "74616"}, {"ref": "iezepov/get-hash-from-images-slightly-daster", "kernel_id": "65694"}, {"ref": "sjbaek/notebook-a1246343e67aaf37e0c1", "kernel_id": "70269"}, {"ref": "bmetka/notebook-567563ea197a73292ac4", "kernel_id": "75833"}, {"ref": "tyhukg/test-ty", "kernel_id": "73679"}, {"ref": "ymcdull/first-look", "kernel_id": "70891"}, {"ref": "ymcdull/frank-first-trail", "kernel_id": "70886"}, {"ref": "xiaoyuwang/notebook-ac594145b0e0e1dc3d6b", "kernel_id": "74589"}, {"ref": "karma86/moving-up-the-lb", "kernel_id": "76646"}, {"ref": "slavadubrov/notebook-636df061b880f1051bbe", "kernel_id": "69573"}, {"ref": "chinta/notebook-20b1dcab5fccecf72050", "kernel_id": "78044"}, {"ref": "antediemterzium/test-ad-1", "kernel_id": "68886"}, {"ref": "antediemterzium/notebook-373095918c3af544d40d", "kernel_id": "62030"}, {"ref": "bekterra/notebook-5cf38ceebfa1a1e9bc82", "kernel_id": "64598"}, {"ref": "shkang/notebook-89b41d82029e15a5d10d", "kernel_id": "63404"}, {"ref": "remap1/visualize-images", "kernel_id": "63075"}, {"ref": "violinbeats/notebook-7916b5c21768541d7f99", "kernel_id": "62885"}, {"ref": "violinbeats/notebook-380c9091f4d11702b2d2", "kernel_id": "62971"}, {"ref": "violinbeats/notebook-7cc8017018781b27e126", "kernel_id": "62875"}, {"ref": "violinbeats/notebook-36f302b9669c862f0fc7", "kernel_id": "62876"}, {"ref": "violinbeats/trying-out-kaggle-scripts", "kernel_id": "62864"}, {"ref": "balajibi/avito-solution-bi", "kernel_id": "75040"}, {"ref": "balajibi/avito-solution-bi-1", "kernel_id": "75035"}, {"ref": "balajibi/avito-bi-solution", "kernel_id": "67510"}, {"ref": "mpanderson/notebook-049c6b6e70cf2be17337", "kernel_id": "65163"}, {"ref": "millerintllc/logit", "kernel_id": "61328"}, {"ref": "awangntu/xgboosting", "kernel_id": "75862"}, {"ref": "alpoza/notebook-ca0395d5dc35404d7f1f", "kernel_id": "61515"}, {"ref": "alpoza/notebook-a0b5cc11d274951069dc", "kernel_id": "60772"}, {"ref": "alpoza/notebook-450a70690246d1075b72", "kernel_id": "60773"}, {"ref": "alpoza/notebook-3ebc0f0087fb691db02b", "kernel_id": "64035"}, {"ref": "buchav/notebook-38bb6b3fbe1102e1cf73", "kernel_id": "65968"}, {"ref": "buchav/data-study-r", "kernel_id": "65969"}, {"ref": "buchav/test-py", "kernel_id": "67096"}, {"ref": "altriaex/notebook-523b209b375590020a45", "kernel_id": "61942"}, {"ref": "altriaex/notebook-c9f3a775b515ff89d7b6", "kernel_id": "64209"}, {"ref": "altriaex/notebook-571d7a848f44f55bf6b7", "kernel_id": "64236"}, {"ref": "altriaex/notebook-d9ae11e058fb34062cb9", "kernel_id": "64237"}, {"ref": "altriaex/notebook-263e6fece79c3084996f", "kernel_id": "64225"}, {"ref": "huyuhai/first-try", "kernel_id": "67892"}, {"ref": "huyuhai/notebook-1138a8a3f92ad611200f", "kernel_id": "67897"}, {"ref": "rajat18/rfffff", "kernel_id": "75655"}, {"ref": "rajat18/rajat-avito", "kernel_id": "75638"}, {"ref": "rajat18/rajat-first", "kernel_id": "75972"}, {"ref": "rajat18/key-learning", "kernel_id": "75974"}, {"ref": "brandao/test-ad-1", "kernel_id": "66988"}, {"ref": "vella92/notebook-388273ab96eafc9abbab", "kernel_id": "73451"}, {"ref": "zfturbo/python-xgboost-starter", "kernel_id": "62093"}, {"ref": "sambrown/notebook-a51212354f81f9b50168", "kernel_id": "62031"}, {"ref": "alexboris/data-sample", "kernel_id": "67864"}, {"ref": "takeshichka/glm-0-61", "kernel_id": "61699"}, {"ref": "treyes/notebook-ea588ac4257f68ebd90d", "kernel_id": "75601"}, {"ref": "treyes/logistict-regression2", "kernel_id": "76422"}, {"ref": "treyes/logistict-regression", "kernel_id": "75406"}, {"ref": "anokas/wget-data", "kernel_id": "72217"}, {"ref": "anokas/notebook-91c2c9823d5ac6f60ca8", "kernel_id": "75714"}, {"ref": "gstein/notebook-342774a063f41dd65eb0", "kernel_id": "65000"}, {"ref": "wentingq/notebook-3253a7b89d4d54b22125", "kernel_id": "69006"}, {"ref": "galoshri/notebook-45aa3f77057e60ca5d63", "kernel_id": "63503"}, {"ref": "galoshri/notebook-346f14d865281ce3da36", "kernel_id": "63494"}, {"ref": "galoshri/notebook-602cc51a94853df60854", "kernel_id": "63495"}, {"ref": "galoshri/notebook-902cc12a72e033dd8e27", "kernel_id": "63497"}, {"ref": "monotoneoff/avito", "kernel_id": "72512"}, {"ref": "zavodrobotov/python-xgboost-starter-0-74", "kernel_id": "62921"}, {"ref": "zavodrobotov/r-xgboost-example", "kernel_id": "63239"}, {"ref": "yannrs/test-hash-image", "kernel_id": "76029"}, {"ref": "han4wluc/notebookef9ad388d1", "kernel_id": "99774"}, {"ref": "yuraka/notebook-2be32d6c53cafb7be05f", "kernel_id": "71050"}, {"ref": "yuraka/notebook-156fe71e86b57995a9c1", "kernel_id": "71037"}, {"ref": "paulorzp/adad-1-1", "kernel_id": "67829"}, {"ref": "arj7192/notebook-f3bde62b2535c5305b58", "kernel_id": "69201"}, {"ref": "dshulchevdkii/notebookdce89a7a7b", "kernel_id": "205397"}, {"ref": "jihyeseo/detect-duplicate-ads-pair-nlp", "kernel_id": "958708"}, {"ref": "xameleoh/notebook-77dcc7e24c6c15feff75", "kernel_id": "73430"}, {"ref": "xameleoh/notebook-6e7261c38e988721ecd3", "kernel_id": "73431"}, {"ref": "xameleoh/notebook-fd2f934144874b3ae1a6", "kernel_id": "73444"}, {"ref": "xameleoh/kaggle-uploader-py", "kernel_id": "75541"}, {"ref": "xameleoh/notebook-ef2aeb10e44022d84899", "kernel_id": "71720"}, {"ref": "xameleoh/untitled", "kernel_id": "71721"}, {"ref": "xameleoh/notebook-d6882c878745cec09528", "kernel_id": "71693"}, {"ref": "xameleoh/notebook-393c00d8168f4a5069fd", "kernel_id": "71699"}, {"ref": "xameleoh/notebook-569ce98c9ca61a2eae7f", "kernel_id": "71700"}, {"ref": "teitlax/notebook-0b3a7ab1bf505c077223", "kernel_id": "69003"}, {"ref": "tynanwilke/notebook-3305fdd10861ae989bfd", "kernel_id": "68653"}, {"ref": "tynanwilke/notebook-71bb1a9ec65bd814924c", "kernel_id": "68654"}, {"ref": "yadavsarthak/moving-up-the-lb", "kernel_id": "76107"}, {"ref": "yadavsarthak/last-try", "kernel_id": "77594"}, {"ref": "mariosrichards/check-zip-md5s", "kernel_id": "74146"}, {"ref": "weeliangng/avito-test", "kernel_id": "74559"}, {"ref": "weeliangng/notebook-0bc289e93f3516e7f892", "kernel_id": "74609"}, {"ref": "ssk1994/avito", "kernel_id": "76959"}, {"ref": "secretsasquatch/adad-1", "kernel_id": "63881"}, {"ref": "secretsasquatch/notebook-b05a064047b73ac49995", "kernel_id": "63767"}, {"ref": "alpha63/testt", "kernel_id": "61797"}, {"ref": "narumishigihara/notebook-369bbc07634e3317d2d3", "kernel_id": "62079"}, {"ref": "mikhailsamsonov/notebook-211ec8f059a2dd3de9d9", "kernel_id": "63117"}, {"ref": "mikhailsamsonov/notebook-1a7f9200f64d449a616d", "kernel_id": "63118"}, {"ref": "mikhailsamsonov/notebook-f908400af43a948f4730", "kernel_id": "63119"}, {"ref": "logen1004/notebook-b28c905da2ceb3dc0161", "kernel_id": "79444"}, {"ref": "josephoneill/testingthissite", "kernel_id": "63865"}, {"ref": "josephoneill/notebook-2fd79765f12563ede1ea", "kernel_id": "63866"}, {"ref": "zolasiyo/summary", "kernel_id": "65754"}, {"ref": "fmilepe/notebook-3f248a46e0bcb0f6e5bb", "kernel_id": "70401"}, {"ref": "qriss471/notebook-a711f5808694aca6d52b", "kernel_id": "80191"}, {"ref": "weidu1108/testtest", "kernel_id": "74189"}, {"ref": "weidu1108/notebook-af66f080480b7c0a19bf", "kernel_id": "74190"}, {"ref": "captaindadja/notebook-5a0879e533cf6a79d5ed", "kernel_id": "75302"}, {"ref": "mgangco/xgboost-starter-modified", "kernel_id": "77301"}, {"ref": "dofollow/notebook-da5a1cc266f939f1762b", "kernel_id": "81003"}, {"ref": "dofollow/notebook-31c9feb1405d1cdcad71", "kernel_id": "81004"}, {"ref": "mgskaiapp/notebook8f6a821484", "kernel_id": "87515"}, {"ref": "snigdhendu/glm-0-61", "kernel_id": "123889"}, {"ref": "cmlaughing/notebook01c232ebdf", "kernel_id": "263927"}, {"ref": "emilyweilingu/avito-duplicate-ad-detection", "kernel_id": "3068720"}, {"ref": "odinnoneodin/notebook88d5a91af8", "kernel_id": "14755619"}, {"ref": "yuriyanansckih/lab2-u", "kernel_id": "17185202"}, {"ref": "nandhinimuthusamy/notebooke709e390cc", "kernel_id": "30057281"}, {"ref": "uthamvenkatesh/dup-ad", "kernel_id": "95081821"}]}
{"competition_id": "5183", "kernels": []}
{"competition_id": "5185", "kernels": [{"ref": "jopisch/kobechart", "kernel_id": "55415"}, {"ref": "jopisch/notebook-f5b0a2b2f882b45ec60d", "kernel_id": "55417"}, {"ref": "jopisch/notebook-87866fdd3db778064c6b", "kernel_id": "59221"}, {"ref": "benhamner/psychology-of-a-professional-athlete", "kernel_id": "58548"}, {"ref": "benhamner/notebook-ed98c2b6e32680edf9bf", "kernel_id": "58568"}, {"ref": "benhamner/kobe-demo", "kernel_id": "56507"}, {"ref": "benhamner/demo-asdf-2", "kernel_id": "56266"}, {"ref": "benhamner/shot-probability", "kernel_id": "64506"}, {"ref": "wcukierski/clutch-factor-last-minute-shots", "kernel_id": "54268"}, {"ref": "wcukierski/shot-location-misses-vs-makes", "kernel_id": "54200"}, {"ref": "soates/soates", "kernel_id": "55709"}, {"ref": "woosterbosch/data-analysis-for-beginners", "kernel_id": "63247"}, {"ref": "yoonkanglow/notebook-440ad9c13c0c404383f4", "kernel_id": "57032"}, {"ref": "yoonkanglow/kobe-s-shots-exploration", "kernel_id": "57034"}, {"ref": "yoonkanglow/notebook-00c325a6006cc339db53", "kernel_id": "57040"}, {"ref": "justinfu/notebook-2696e356155de6442c32", "kernel_id": "57909"}, {"ref": "mkeshav/preliminary-exploration", "kernel_id": "65380"}, {"ref": "mkeshav/notebook-1ac95d889f6a82048038", "kernel_id": "65382"}, {"ref": "vardhan1911/notebook-eddd54c14d4f5a73f169", "kernel_id": "60396"}, {"ref": "company/kbss-1", "kernel_id": "64399"}, {"ref": "company/test1", "kernel_id": "61119"}, {"ref": "company/test2", "kernel_id": "61120"}, {"ref": "company/notebook-664d162df49179cdf0b1", "kernel_id": "61122"}, {"ref": "company/notebook-199ead4e588d0c65bfd4", "kernel_id": "61123"}, {"ref": "company/notebook-c81db2953eb70ab3a8c3", "kernel_id": "61124"}, {"ref": "company/rf-testing", "kernel_id": "61110"}, {"ref": "company/sport", "kernel_id": "61117"}, {"ref": "company/notebook-379b99de1bb7102dab38", "kernel_id": "61276"}, {"ref": "company/notebook-ca7d68fd094f37bca90c", "kernel_id": "61278"}, {"ref": "company/kbss1", "kernel_id": "61280"}, {"ref": "pageman/absolute-beginner", "kernel_id": "70114"}, {"ref": "jxnlco/notebook-d747087b4aeaf92ab4ee", "kernel_id": "56647"}, {"ref": "milhinhos/littlecorn1", "kernel_id": "61390"}, {"ref": "drmcgraw/notebook-764e4f884f8678e93e02", "kernel_id": "66543"}, {"ref": "drmcgraw/notebook-e0a0cedf88bf5d4a69aa", "kernel_id": "55960"}, {"ref": "drmcgraw/notebook-dce5a4a644dc29e2f076", "kernel_id": "56478"}, {"ref": "drmcgraw/notebook-49460d6260b1a1fe713a", "kernel_id": "56472"}, {"ref": "drmcgraw/test-dm", "kernel_id": "54282"}, {"ref": "drmcgraw/notebook-040044a1a76b48ffd62d", "kernel_id": "54290"}, {"ref": "yadunath/kobe-shots-show-me-your-best-model", "kernel_id": "62106"}, {"ref": "cuttlefish/kobe-shots-show-me-your-best-model", "kernel_id": "63683"}, {"ref": "cuttlefish/notebook-249599e97eae63b7eabc", "kernel_id": "63885"}, {"ref": "cuttlefish/notebook-692676fbebc68689cb5b", "kernel_id": "63886"}, {"ref": "cuttlefish/notebook-a2d5d58954d9397c1f01", "kernel_id": "63882"}, {"ref": "kglfaisal/kobie", "kernel_id": "55724"}, {"ref": "kglfaisal/fff123123", "kernel_id": "55733"}, {"ref": "selfishgene/psychology-of-a-professional-athlete", "kernel_id": "58140"}, {"ref": "evyasonov/tests", "kernel_id": "59225"}, {"ref": "evyasonov/notebook-3176d9b75b224df29213", "kernel_id": "59226"}, {"ref": "lan2720/notebook-3ceb0dab3e82f2716da8", "kernel_id": "70784"}, {"ref": "calvinjku/the-inevitable-aging-of-a-star", "kernel_id": "148316"}, {"ref": "serdaradali/psychology-of-a-professional-athlete", "kernel_id": "66626"}, {"ref": "kathakaliseth/shot-location-misses-vs-makes", "kernel_id": "56374"}, {"ref": "liang3164/psychology-of-a-professional-athlete", "kernel_id": "117192"}, {"ref": "potterxu/notebook-463b90c22e0fb74dd1fa", "kernel_id": "54451"}, {"ref": "potterxu/notebook-841544f78e3f0de782ab", "kernel_id": "54453"}, {"ref": "potterxu/sport", "kernel_id": "54547"}, {"ref": "potterxu/notebook-ed32733eeea7ccd8ea0a", "kernel_id": "56916"}, {"ref": "potterxu/notebook-6e5c2a927990915ca5f1", "kernel_id": "55003"}, {"ref": "potterxu/notebook-00f0769f6a861c3077be", "kernel_id": "55049"}, {"ref": "jaycb26/xgbryant", "kernel_id": "61924"}, {"ref": "jaycb26/kobe-bryant1-0", "kernel_id": "63344"}, {"ref": "jaycb26/kobe-bryant1-1", "kernel_id": "63345"}, {"ref": "jaycb26/notebook-c1cd6fe04e97f0a917ae", "kernel_id": "63594"}, {"ref": "ghellstern/kobe-shots-show-me-your-best-model", "kernel_id": "68370"}, {"ref": "ghellstern/notebook-fb0575805d8ba26c454f", "kernel_id": "56522"}, {"ref": "dedert/psychology-of-a-professional-athlete", "kernel_id": "67744"}, {"ref": "thibalbo/psychology-of-a-professional-athlete", "kernel_id": "71041"}, {"ref": "thibalbo/notebook-1c6f8678917d74202431", "kernel_id": "71051"}, {"ref": "nitzee/notebook-db66ba141675ebfc1b03", "kernel_id": "75472"}, {"ref": "splinter/psychology-of-a-professional-athlete", "kernel_id": "64060"}, {"ref": "shainarace/notebook-0aa9241af0fa98fa6334", "kernel_id": "64036"}, {"ref": "shainarace/notebook-b3865396cf68b7f8fe92", "kernel_id": "64037"}, {"ref": "shainarace/notebook-f9774652f3f78f5ccf46", "kernel_id": "64038"}, {"ref": "shainarace/psychology-of-a-professional-athlete", "kernel_id": "62061"}, {"ref": "vivekyadav/notebook-00e8fa6d3ac5ed6094b2", "kernel_id": "69390"}, {"ref": "vivekyadav/notebook-0e726563692a94656d10", "kernel_id": "69392"}, {"ref": "vivekyadav/notebook-c7255d2c432d9b1f2aef", "kernel_id": "69386"}, {"ref": "vivekyadav/notebook-e1ad8853c2fe47e63b45", "kernel_id": "69387"}, {"ref": "vivekyadav/notebook-7907e79a129bc1060f98", "kernel_id": "69250"}, {"ref": "junghoyeom/notebook-7639762276f498d7a94d", "kernel_id": "61599"}, {"ref": "junghoyeom/notebook-521a7dab44fc7485d2e8", "kernel_id": "61115"}, {"ref": "junghoyeom/notebook-df5ee6f7ef0a61586041", "kernel_id": "61116"}, {"ref": "junghoyeom/feature-selection", "kernel_id": "61106"}, {"ref": "junghoyeom/notebook-acae9d88bb4242014dde", "kernel_id": "61107"}, {"ref": "junghoyeom/notebook-8d52c134f36e5ee67cd9", "kernel_id": "61108"}, {"ref": "junghoyeom/notebook-ad796a72ba67e7555392", "kernel_id": "61230"}, {"ref": "sjw821/notebook-086903104fd0ec69b6e9", "kernel_id": "54477"}, {"ref": "xianggebenben/preliminary-exploration", "kernel_id": "56372"}, {"ref": "khozzy/notebook-8882698a228edb2a7621", "kernel_id": "61261"}, {"ref": "khozzy/kobe-shots-show-me-your-best-model", "kernel_id": "61262"}, {"ref": "khozzy/sliding-windows-use-cases", "kernel_id": "70056"}, {"ref": "khozzy/spotting-great-features", "kernel_id": "66752"}, {"ref": "sidhartharay/notebook-16751f1639c25f44bfa3", "kernel_id": "62922"}, {"ref": "sidhartharay/data-analysis-for-beginners", "kernel_id": "61725"}, {"ref": "sidhartharay/notebook-6a9f45a8d0438e42d0ae", "kernel_id": "61837"}, {"ref": "ed1229/absolute-beginner", "kernel_id": "68902"}, {"ref": "ed1229/notebook-7b3d6b35b63deaf41629", "kernel_id": "69125"}, {"ref": "ed1229/notebook-043a0ebf9fd7bb87757f", "kernel_id": "67719"}, {"ref": "mystikacid/notebook-77701abdf0d40e3c85cb", "kernel_id": "61531"}, {"ref": "mystikacid/data-analysis-for-beginners", "kernel_id": "59545"}, {"ref": "anoopcse/notebook-3e5f559f98535f85356b", "kernel_id": "56315"}, {"ref": "siddharthkulkarni/data-analysis-for-beginners", "kernel_id": "61427"}, {"ref": "chenjunnlp/notebooke2800da343", "kernel_id": "145871"}, {"ref": "rishabhv/xgboost-in-r-kobe-bryant-benchmark", "kernel_id": "79278"}, {"ref": "evanmiller/test-set-points", "kernel_id": "55037"}, {"ref": "scirpus/genetic-programming-lb-0-60836", "kernel_id": "67024"}, {"ref": "scirpus/gp-ii", "kernel_id": "71115"}, {"ref": "leontanks/notebook-e802acb78c3f0bbb94a2", "kernel_id": "60486"}, {"ref": "leontanks/learning-from-other-scripts", "kernel_id": "60463"}, {"ref": "leontanks/notebook-797c6381ae8e3c380106", "kernel_id": "60240"}, {"ref": "leontanks/notebook-486601a6511b1205df75", "kernel_id": "60246"}, {"ref": "saiyajin0/absolute-beginner", "kernel_id": "67498"}, {"ref": "wuzimian/data-analysis-for-beginners", "kernel_id": "60478"}, {"ref": "ivanfoong/data-analysis", "kernel_id": "68885"}, {"ref": "ivanfoong/notebook-3fbf0d8f98fbc9fc2c7b", "kernel_id": "68890"}, {"ref": "madplanner/notebook-01747ff8b6fe21236345", "kernel_id": "70196"}, {"ref": "hanjun/kobe-shots-show-me-your-best-model", "kernel_id": "70124"}, {"ref": "hanjun/notebook-5e2e0a9212cabe85ae47", "kernel_id": "67407"}, {"ref": "hanjun/notebook-62e1ae8e7e0a796b4049", "kernel_id": "67408"}, {"ref": "kseniavoronaya/notebook-f74ae505f0c687d1dc0a", "kernel_id": "70394"}, {"ref": "yassin/notebook-b53e068978d903d0b9d9", "kernel_id": "69636"}, {"ref": "yassin/testt", "kernel_id": "69637"}, {"ref": "vigneshvenkatesan/data-analysis-for-beginners", "kernel_id": "61355"}, {"ref": "vigneshvenkatesan/notebook-47ff2509a3cbf333bf6b", "kernel_id": "61356"}, {"ref": "vigneshvenkatesan/notebook-e6809b8d04d2addb5348", "kernel_id": "61357"}, {"ref": "kubah2111/xgbryant", "kernel_id": "61498"}, {"ref": "shanekao/notebook-63a5780de93fcd8701e3", "kernel_id": "58172"}, {"ref": "artimous/notebook-60551656bd29462e7f02", "kernel_id": "60182"}, {"ref": "artimous/xgbryant", "kernel_id": "60180"}, {"ref": "marozet/notebook-08aedb8db7c41dffd4ef", "kernel_id": "56723"}, {"ref": "marozet/notebook-689f092cee988fc8cbb6", "kernel_id": "56716"}, {"ref": "marozet/notebook-9b9ebe26e0537f5c0519", "kernel_id": "56457"}, {"ref": "marozet/kobe-bryant-shot-selection-charts-test", "kernel_id": "56672"}, {"ref": "marozet/kobe-shot-exploration-with-tableau", "kernel_id": "67304"}, {"ref": "marozet/notebook-e7419a7659c7168e4650", "kernel_id": "69212"}, {"ref": "marozet/notebook-15f5dff260f896dae271", "kernel_id": "59020"}, {"ref": "marozet/notebook-321ad4d708e058b23d46", "kernel_id": "58684"}, {"ref": "wikunia/stacked-bar-by-season", "kernel_id": "58641"}, {"ref": "wikunia/notebook-805fafcce51a425f4060", "kernel_id": "58642"}, {"ref": "xxingzh/predict-shot", "kernel_id": "143068"}, {"ref": "xxingzh/kobe-shots-show-me-your-best-model", "kernel_id": "142484"}, {"ref": "maxvvv/notebook-0b5c7e29e9236b04cb37", "kernel_id": "55873"}, {"ref": "ymcdull/kobe-first-steps-random-forest", "kernel_id": "85278"}, {"ref": "ymcdull/justtest", "kernel_id": "69202"}, {"ref": "ymcdull/notebook-acc7cdebe95a44c19e98", "kernel_id": "69214"}, {"ref": "ymcdull/koby-frank-test1", "kernel_id": "64338"}, {"ref": "ymcdull/notebook-512cd400e3370c67782c", "kernel_id": "64367"}, {"ref": "ymcdull/notebook-fa2687c81e877f79a0b1", "kernel_id": "64385"}, {"ref": "ymcdull/notebook-bf29d8d0dbae11276ae0", "kernel_id": "64603"}, {"ref": "ymcdull/kobe-frank-gbrt-test", "kernel_id": "64588"}, {"ref": "ymcdull/notebook-8ee8ab2ff8bc85cf3f35", "kernel_id": "64579"}, {"ref": "ymcdull/notebook-040272b2d9f883de1301", "kernel_id": "64638"}, {"ref": "ymcdull/kobe-shots-show-me-your-best-model", "kernel_id": "64643"}, {"ref": "nivaldo/notebook-632007b400d164faebdc", "kernel_id": "56638"}, {"ref": "islem75/notebook-d4e6e4983662a0a50ff2", "kernel_id": "54645"}, {"ref": "vdaytona/notebook-cd7e4423ec8b2ca4da90", "kernel_id": "64475"}, {"ref": "vdaytona/notebook-6cbac91a07852d54eea3", "kernel_id": "64476"}, {"ref": "vdaytona/notebook-6293f9f4cb1d0abad941", "kernel_id": "64477"}, {"ref": "vdaytona/preliminary-exploration", "kernel_id": "64478"}, {"ref": "vdaytona/notebook-766a5e9a682dabddb73a", "kernel_id": "64479"}, {"ref": "vdaytona/notebook-effe2614a576833fc33d", "kernel_id": "64481"}, {"ref": "vdaytona/notebook-2e9a7b9a4befa274681a", "kernel_id": "64482"}, {"ref": "vdaytona/notebook-e0ead0d6221c418c90f9", "kernel_id": "64483"}, {"ref": "pgladkov/notebook-1d66fc899ff9b5547761", "kernel_id": "61552"}, {"ref": "pgladkov/notebook-9ec4189fdbdf6562c4a7", "kernel_id": "61547"}, {"ref": "pgladkov/notebook-88a0d72310ad47dad184", "kernel_id": "61538"}, {"ref": "pgladkov/notebook-152e468eb5f5dbd7d73c", "kernel_id": "61539"}, {"ref": "pgladkov/notebook-325d9df4030974d6a6b0", "kernel_id": "61540"}, {"ref": "pgladkov/kobe24", "kernel_id": "61541"}, {"ref": "ganjiangshui/notebook-3ed4eb60f8486436081e", "kernel_id": "60751"}, {"ref": "ganjiangshui/notebook-e2a88760a5ea7518b729", "kernel_id": "60743"}, {"ref": "unbingo/animated-treemap-gif", "kernel_id": "61169"}, {"ref": "unbingo/treemaps", "kernel_id": "58864"}, {"ref": "unbingo/bubble-chart-animated-gif", "kernel_id": "59465"}, {"ref": "liziyuann/notebook-6a53c535e799893ccdba", "kernel_id": "58884"}, {"ref": "liziyuann/notebook-911d6041e9cb2b995331", "kernel_id": "58896"}, {"ref": "liziyuann/gradient-boosting", "kernel_id": "59002"}, {"ref": "liziyuann/notebook-82b6c9e81a1dbdbbb198", "kernel_id": "58969"}, {"ref": "liziyuann/notebook-2e4084c50a9c3dbc81dd", "kernel_id": "59013"}, {"ref": "liziyuann/data-analysis-for-beginners", "kernel_id": "59504"}, {"ref": "liziyuann/notebook-bb4f34cc5da11aabbedc", "kernel_id": "59511"}, {"ref": "liziyuann/notebook-918bce74b1f506d62387", "kernel_id": "59534"}, {"ref": "liziyuann/feature-selection", "kernel_id": "59574"}, {"ref": "liziyuann/notebook-c5c25a093d9d2b86b5e8", "kernel_id": "59624"}, {"ref": "liziyuann/notebook-f6267a9c96f4f7404089", "kernel_id": "60022"}, {"ref": "liziyuann/notebook-667aa1bd9ae247b18d49", "kernel_id": "62357"}, {"ref": "liziyuann/rf-testing", "kernel_id": "58660"}, {"ref": "liziyuann/notebook-a459791422ef082cba21", "kernel_id": "58610"}, {"ref": "liziyuann/notebook-40e1cf514e0eee2e3ba0", "kernel_id": "57945"}, {"ref": "liziyuann/notebook-3e9e3dbb2e67e64af843", "kernel_id": "57217"}, {"ref": "liziyuann/notebook-c40d8ccb560e24d29a67", "kernel_id": "57219"}, {"ref": "liziyuann/notebook-24703120b68b042958f4", "kernel_id": "57220"}, {"ref": "liziyuann/notebook-3d3673ce678fa0e39d36", "kernel_id": "57221"}, {"ref": "liziyuann/notebook-cea2d9e69f2d84014ea9", "kernel_id": "57222"}, {"ref": "liziyuann/notebook-6b16461f3229eae417ba", "kernel_id": "57531"}, {"ref": "liziyuann/notebook-74afbcb294c134fcfdb4", "kernel_id": "57619"}, {"ref": "liziyuann/notebook-5404c842b510d9e3aa42", "kernel_id": "57611"}, {"ref": "liziyuann/kobe-s-shots-exploration", "kernel_id": "57087"}, {"ref": "liziyuann/notebook-f1b9d30337b57e133eab", "kernel_id": "57092"}, {"ref": "liziyuann/notebook-1ceb93a46cdafce0bbaf", "kernel_id": "55025"}, {"ref": "liziyuann/notebook-47d7c79d6514881ed100", "kernel_id": "55066"}, {"ref": "liziyuann/testing", "kernel_id": "55077"}, {"ref": "liziyuann/kobechart", "kernel_id": "55006"}, {"ref": "liziyuann/notebook-09122c61b7174342ac23", "kernel_id": "55007"}, {"ref": "liziyuann/notebook-6d9ea9391faf11b9fdfe", "kernel_id": "54806"}, {"ref": "liziyuann/thesis", "kernel_id": "54756"}, {"ref": "liziyuann/notebook-5a0576855d061d670b2f", "kernel_id": "54529"}, {"ref": "liziyuann/notebook-3d3549fdbfe41bd581e9", "kernel_id": "54462"}, {"ref": "liziyuann/notebook-7ca7ea7c21eaefa97bca", "kernel_id": "54463"}, {"ref": "liziyuann/notebook-3616c14b9c2a36d7b127", "kernel_id": "54415"}, {"ref": "amineteffal/script-aminos-kb", "kernel_id": "70164"}, {"ref": "vishvicky/notebookb5d7c538ae", "kernel_id": "164676"}, {"ref": "slavadubrov/notebook-b2f917fe4030496d2764", "kernel_id": "69747"}, {"ref": "vamsiperumallu/preliminary-exploration", "kernel_id": "60632"}, {"ref": "thomashan/notebookc64ab1f756", "kernel_id": "110264"}, {"ref": "thomashan/kobe-bryant", "kernel_id": "98381"}, {"ref": "thomashan/initial-kobe-bryant-kaggle-challenge-notebook", "kernel_id": "98073"}, {"ref": "tebzito/notebook-98b76407e36d970ef666", "kernel_id": "60303"}, {"ref": "tebzito/notebook-42713a464fbfb3a3acf6", "kernel_id": "60295"}, {"ref": "tebzito/notebook-cf7afa55cca411103f7c", "kernel_id": "60296"}, {"ref": "tebzito/notebook-b7a9504aa83030e56150", "kernel_id": "60297"}, {"ref": "tebzito/notebook-16786da291a5145dd5ee", "kernel_id": "60299"}, {"ref": "tebzito/data-analysis-for-beginners", "kernel_id": "60283"}, {"ref": "tebzito/notebook-87331bcb28dca33fffbb", "kernel_id": "64549"}, {"ref": "architkhosla/data-analysis-for-beginners", "kernel_id": "165460"}, {"ref": "marcpuig/notebook-9e14aac36346076fa83a", "kernel_id": "70803"}, {"ref": "marcpuig/notebook-6f63c0f01a96882014c9", "kernel_id": "70804"}, {"ref": "marcpuig/psychology-of-a-professional-athlete", "kernel_id": "70789"}, {"ref": "skirsche/notebook97123f59bd", "kernel_id": "233842"}, {"ref": "nclsbrl/notebook-ac1f970e19d833e5b05c", "kernel_id": "57952"}, {"ref": "lingshanxu/test-kobe0", "kernel_id": "59481"}, {"ref": "hieuiph/psychology-of-a-professional-athlete", "kernel_id": "62088"}, {"ref": "ayushthakur/notebookb3fe19b0ff", "kernel_id": "186868"}, {"ref": "chengcen/kobe-shots-show-me-your-best-model", "kernel_id": "63331"}, {"ref": "chengcen/preliminary-exploration", "kernel_id": "60607"}, {"ref": "lecorbu/notebook-828a8881d6ca041db7a0", "kernel_id": "54327"}, {"ref": "basselali/simple", "kernel_id": "68247"}, {"ref": "basselali/kobe-shots-show-me-your-best-model", "kernel_id": "68250"}, {"ref": "basselali/notebook-e6da11026fc446511ab5", "kernel_id": "70722"}, {"ref": "ardi3613/notebook-d5742780552b95f20a27", "kernel_id": "54647"}, {"ref": "chandu4321/data-analysis-for-beginners", "kernel_id": "61746"}, {"ref": "wendyliao/notebooke966ad2920", "kernel_id": "131228"}, {"ref": "drgilermo/notebook-16fcecbce5ffa6f2c9c8", "kernel_id": "62908"}, {"ref": "drgilermo/notebook-6e3f4481b4f96a9cec79", "kernel_id": "62905"}, {"ref": "drgilermo/the-inevitable-aging-of-a-star", "kernel_id": "62906"}, {"ref": "johnewz/kobe-shots-show-me-your-best-model", "kernel_id": "92449"}, {"ref": "jth359/data-analysis-for-beginners", "kernel_id": "92799"}, {"ref": "pmtempone/notebook-719399a9d8cb5aa4c266", "kernel_id": "64665"}, {"ref": "pmtempone/notebook-904902aabc406aa65977", "kernel_id": "64097"}, {"ref": "pmtempone/notebook-aad1bc972a0ecdc11458", "kernel_id": "64113"}, {"ref": "pmtempone/notebook-806a001933a0b81c7fe1", "kernel_id": "64071"}, {"ref": "pmtempone/notebook-862d3ca0e5737fb6bb1b", "kernel_id": "64234"}, {"ref": "pmtempone/notebook-206f878996f1230d00cc", "kernel_id": "65254"}, {"ref": "rockyzhang/notebook-e10418e9af92661011ed", "kernel_id": "73260"}, {"ref": "rockyzhang/kobe-shots-show-me-your-best-model", "kernel_id": "73252"}, {"ref": "rockyzhang/data-analysis-for-beginners", "kernel_id": "73253"}, {"ref": "rockyzhang/notebook-d160c8439cdd7f92a25a", "kernel_id": "73256"}, {"ref": "rockyzhang/preliminary-exploration", "kernel_id": "73257"}, {"ref": "imagiciani/kobe-shots-show-me-your-best-model", "kernel_id": "88716"}, {"ref": "caiomsouza/kobe-shots-show-me-your-best-model", "kernel_id": "71192"}, {"ref": "caiomsouza/notebook-a9691f59bbf20bce986a", "kernel_id": "71197"}, {"ref": "caiomsouza/notebook-658cca14b2f91f87ef2b", "kernel_id": "71194"}, {"ref": "caiomsouza/notebook-589e225da087d3a2eb97", "kernel_id": "71207"}, {"ref": "caiomsouza/notebook-c74695fbd25075422183", "kernel_id": "71208"}, {"ref": "caiomsouza/notebook-c160ff77d3cf5c3f47b0", "kernel_id": "71209"}, {"ref": "caiomsouza/notebook-42295d645ed8837477db", "kernel_id": "71210"}, {"ref": "caiomsouza/notebook-781daf1202bc28a9c0cd", "kernel_id": "71211"}, {"ref": "attila007/data-analysis-for-beginners", "kernel_id": "61404"}, {"ref": "bharath6kumar/notebook-e6484b7de754496c8ac4", "kernel_id": "57958"}, {"ref": "ramukmarkrish/notebook-cb28e4116dccac5e1a54", "kernel_id": "67002"}, {"ref": "yurrzz/notebook-1fb85a57deb2f0c15b68", "kernel_id": "58111"}, {"ref": "kaisuke5/testing", "kernel_id": "58316"}, {"ref": "charan678/notebook-46e5add2c21ac20795db", "kernel_id": "73348"}, {"ref": "esportsdna/notebook-c323634d2f0752b901f3", "kernel_id": "79852"}, {"ref": "esportsdna/notebook-c00842ad36b87115db4d", "kernel_id": "79853"}, {"ref": "liushiqi9/notebook-e010115207b370e2a6bc", "kernel_id": "76682"}, {"ref": "liushiqi9/koby-test", "kernel_id": "76677"}, {"ref": "pauldid/preliminary-exploration", "kernel_id": "67564"}, {"ref": "pauldid/notebook-d741332a1a910d2ca455", "kernel_id": "67569"}, {"ref": "fhlgood/lakers-court-reg-vs-playoffs", "kernel_id": "54973"}, {"ref": "apapiu/exploring-kobe-s-shots", "kernel_id": "54701"}, {"ref": "apapiu/notebook-ee933ded35dd445e4f9d", "kernel_id": "55883"}, {"ref": "weewey/psychology-of-a-professional-athlete", "kernel_id": "63419"}, {"ref": "weewey/notebook-3c9fe49fdcf5570892ab", "kernel_id": "63420"}, {"ref": "weewey/notebook-b02624d1a0449087d406", "kernel_id": "63421"}, {"ref": "sanghosuh/notebook-0480261387af823c5d53", "kernel_id": "69236"}, {"ref": "sanghosuh/psychology-of-a-professional-athlete", "kernel_id": "69227"}, {"ref": "sanghosuh/notebook-140480d5dae60d3ee4a6", "kernel_id": "69228"}, {"ref": "sarcasticbhokal/absolute-beginner", "kernel_id": "71495"}, {"ref": "dpzhou/psychology-of-a-professional-athlete", "kernel_id": "98725"}, {"ref": "wangzhe/notebook54b42ff1ae", "kernel_id": "124026"}, {"ref": "alcaspar37/kobe-classification", "kernel_id": "173377"}, {"ref": "azzurraying/notebook-0ea6527e2bbf2907c39f", "kernel_id": "58199"}, {"ref": "azzurraying/notebook-ec7365c9fb3f49f6c559", "kernel_id": "58598"}, {"ref": "azzurraying/notebook-0672df3952ec48858254", "kernel_id": "58599"}, {"ref": "azzurraying/notebook-ae7c73e2b5d3e10dc358", "kernel_id": "58250"}, {"ref": "azzurraying/notebook-67ad5212c7fa4158a88f", "kernel_id": "58251"}, {"ref": "azzurraying/kobe-shots", "kernel_id": "58252"}, {"ref": "azzurraying/notebook-3eb5fb148f19570e531b", "kernel_id": "60470"}, {"ref": "chenchaodev/notebook-87b3e2b20f2e5f80c1dc", "kernel_id": "72953"}, {"ref": "chenchaodev/notebook4f1afb59a4", "kernel_id": "97783"}, {"ref": "chenchaodev/data-analysis-for-beginners", "kernel_id": "61488"}, {"ref": "chenchaodev/notebook7b8b447f1d", "kernel_id": "167472"}, {"ref": "rrbb014/data-analysis-for-beginners", "kernel_id": "59915"}, {"ref": "sb1700/r-koby", "kernel_id": "60610"}, {"ref": "kaka6599/kobe-shots-show-me-your-best-model", "kernel_id": "71765"}, {"ref": "kaka6599/notebook-f0fc2d4796a16c21b965", "kernel_id": "71766"}, {"ref": "bbx396/kobechart", "kernel_id": "54966"}, {"ref": "jeansoula/notebook-7c08d99949f3fd129abb", "kernel_id": "66780"}, {"ref": "jeansoula/kobe-shots-show-me-your-best-model", "kernel_id": "64912"}, {"ref": "mowayao/kobe-shots-show-me-your-best-model", "kernel_id": "72308"}, {"ref": "kangshifu/notebook-534bb24cb764759183ea", "kernel_id": "54378"}, {"ref": "kangshifu/notebook-a408e2e5288f11d79c27", "kernel_id": "54388"}, {"ref": "kangshifu/notebook-8ce12c1b75669566ae4c", "kernel_id": "54389"}, {"ref": "kangshifu/notebook-f53c8c4844de6a1a9425", "kernel_id": "54390"}, {"ref": "kangshifu/notebook-1112393a780823840a28", "kernel_id": "54383"}, {"ref": "adityapadala/notebook-8cfcbecb495b5b2f3833", "kernel_id": "66594"}, {"ref": "adityapadala/notebook-58033f6880047f70abd1", "kernel_id": "66596"}, {"ref": "danpeng/shooting-percentage-by-arena-city", "kernel_id": "54853"}, {"ref": "danpeng/notebook-4d9bdb9747ea50ef397f", "kernel_id": "54871"}, {"ref": "danpeng/notebook-fc5e8f6935c92a059258", "kernel_id": "54873"}, {"ref": "danpeng/notebook-8a77c02209e24ac7e263", "kernel_id": "54874"}, {"ref": "danpeng/shot-quality", "kernel_id": "54821"}, {"ref": "danpeng/notebook-0077a711bb88ab4e6d82", "kernel_id": "54311"}, {"ref": "danpeng/notebook-fca4e27b91a1a3d8d719", "kernel_id": "54312"}, {"ref": "datasid/notebook98dca9f960", "kernel_id": "209940"}, {"ref": "kevins/tensorflow-notmnist", "kernel_id": "200277"}, {"ref": "kevins/notebooke0a9043de1", "kernel_id": "198060"}, {"ref": "kevins/notebook55e4f6ba6a", "kernel_id": "198956"}, {"ref": "kevins/kobe-shots-show-me-your-best-model", "kernel_id": "197143"}, {"ref": "kevins/models-war", "kernel_id": "197146"}, {"ref": "kevins/fork-of-notebook55e4f6ba6a", "kernel_id": "202167"}, {"ref": "kevins/notebook940019c959", "kernel_id": "201617"}, {"ref": "anirudh2403/notebook-1caff3e1b9c64f2abc12", "kernel_id": "71753"}, {"ref": "anirudh2403/notebook-22795e248153008624d8", "kernel_id": "71754"}, {"ref": "anirudh2403/absolute-beginner", "kernel_id": "71748"}, {"ref": "anirudh2403/playin", "kernel_id": "74937"}, {"ref": "anirudh2403/notebook-89d0bf51a67613649262", "kernel_id": "74934"}, {"ref": "anirudh2403/notebook-46bec3165fa9b3440423", "kernel_id": "74935"}, {"ref": "anirudh2403/notebook-eae9c18b1d8a659a44bd", "kernel_id": "74840"}, {"ref": "anirudh2403/notebook-72036eb31d6dbfc9e143", "kernel_id": "74834"}, {"ref": "anirudh2403/notebook-4ac09f2f90ef3a4189d0", "kernel_id": "75108"}, {"ref": "codingfun/feature-engineering-v1-2", "kernel_id": "67637"}, {"ref": "codingfun/randomforest-kobe-shot-selection", "kernel_id": "67234"}, {"ref": "isosnovik/preliminary-exploration", "kernel_id": "56903"}, {"ref": "isosnovik/notebook-5ceac045203f4b70b71b", "kernel_id": "59383"}, {"ref": "isosnovik/notebook-c4a596c1dfdef6ce81dd", "kernel_id": "59384"}, {"ref": "isosnovik/notebook-821d5c53a15e104c5908", "kernel_id": "59390"}, {"ref": "isosnovik/xgbryant", "kernel_id": "59392"}, {"ref": "isosnovik/notebook-e388e649c362bcf46af4", "kernel_id": "59520"}, {"ref": "isosnovik/notebook-5a68d93e9d2c83fecd13", "kernel_id": "59517"}, {"ref": "isosnovik/gradient-boosting", "kernel_id": "60075"}, {"ref": "isosnovik/notebook-986dc2e7cf6de2dd570b", "kernel_id": "59990"}, {"ref": "isosnovik/rbryant", "kernel_id": "60129"}, {"ref": "isosnovik/notebook-c7bccce9fe559810445f", "kernel_id": "59977"}, {"ref": "isosnovik/notebook-e86e2b1a1cc421371bc4", "kernel_id": "59763"}, {"ref": "king8023/data-analysis-for-beginners", "kernel_id": "104716"}, {"ref": "peirancao/psychology-of-a-professional-athlete", "kernel_id": "68651"}, {"ref": "peirancao/kobe-shots-show-me-your-best-model", "kernel_id": "68645"}, {"ref": "peirancao/notebook-98e051c0446c2d2bcb1f", "kernel_id": "68646"}, {"ref": "yoonespi/notebook-b0e0d1d9250d6ddfbd62", "kernel_id": "56590"}, {"ref": "jiageng/preliminary-exploration", "kernel_id": "57678"}, {"ref": "architgarg1515/kobe-shots-show-me-your-best-model", "kernel_id": "94219"}, {"ref": "yangzhiye/notebook-267218393a74372def5d", "kernel_id": "82741"}, {"ref": "avidadollars/notebook-2481ca0980bbc88ddce2", "kernel_id": "56644"}, {"ref": "avidadollars/notebook-829670dd29e0643e1341", "kernel_id": "56661"}, {"ref": "zhanli/psychology-of-a-professional-athlete", "kernel_id": "77456"}, {"ref": "zhanli/kobe-shots-show-me-your-best-model", "kernel_id": "76363"}, {"ref": "zhanli/notebook-1265ab2061b821d0d246", "kernel_id": "80734"}, {"ref": "xiawei918/kobe-shots-show-me-your-best-model-4480a677", "kernel_id": "115430"}, {"ref": "xiawei918/kobe-shots-show-me-your-best-model", "kernel_id": "67348"}, {"ref": "ryanburge/shooting-percentage-by-team-and-season", "kernel_id": "54563"}, {"ref": "laureano/notebook-fa7867392a5b0dcf5263", "kernel_id": "60052"}, {"ref": "laureano/descriptive-analysis", "kernel_id": "60053"}, {"ref": "jellevde/unsupervised-speedrun", "kernel_id": "674766"}, {"ref": "lajonutyte/kobe-bryant-shot-heatmap", "kernel_id": "64402"}, {"ref": "agostontorok/kobe-shot-probability-plot", "kernel_id": "59387"}, {"ref": "agostontorok/notebook-8b8ac7d388d6d5d1f924", "kernel_id": "59388"}, {"ref": "agostontorok/notebook-b80dee3e50018c2d9109", "kernel_id": "59389"}, {"ref": "agostontorok/notebook-f5a5307aae7fb2fb640c", "kernel_id": "59420"}, {"ref": "agostontorok/notebook-1a64210d0e76c97e394d", "kernel_id": "59422"}, {"ref": "agostontorok/notebook-8a6d2be8f7f431954fce", "kernel_id": "59424"}, {"ref": "agostontorok/notebook-f9343c76d0c66d52845f", "kernel_id": "60653"}, {"ref": "thomas95290/tests", "kernel_id": "67902"}, {"ref": "thomas95290/notebook-b633efbc076ce49581ff", "kernel_id": "71093"}, {"ref": "jason1/notebook-c4e79449bbd52b7c5e87", "kernel_id": "54324"}, {"ref": "brandao/xgboost-in-r-kobe-bryant-benchmark", "kernel_id": "67375"}, {"ref": "brandao/first-script-it-is-a-test", "kernel_id": "65849"}, {"ref": "brandao/test-3", "kernel_id": "65851"}, {"ref": "brandao/test-4", "kernel_id": "65852"}, {"ref": "brandao/teste-5", "kernel_id": "65856"}, {"ref": "brandao/test-6", "kernel_id": "65857"}, {"ref": "brandao/winner-script", "kernel_id": "66130"}, {"ref": "brandao/test-7", "kernel_id": "66127"}, {"ref": "digit82/notebook-1aa31e840b94522b7dd0", "kernel_id": "61425"}, {"ref": "valeed/kobe-shots-show-me-your-best-model", "kernel_id": "73422"}, {"ref": "caspik/solution", "kernel_id": "54349"}, {"ref": "caspik/data-analysis-for-beginners", "kernel_id": "61316"}, {"ref": "huitailang1991/notebook-2e05e6749e9ecb995244", "kernel_id": "71602"}, {"ref": "huitailang1991/preliminary-exploration", "kernel_id": "71603"}, {"ref": "huitailang1991/notebook-76fb72a08a42d7a38466", "kernel_id": "71604"}, {"ref": "huitailang1991/practice", "kernel_id": "71605"}, {"ref": "huitailang1991/notebook-dccc7d8f2d023578631b", "kernel_id": "71617"}, {"ref": "huitailang1991/notebook-9639f0e9eca136851d66", "kernel_id": "72785"}, {"ref": "huitailang1991/data-analysis-for-beginners", "kernel_id": "75102"}, {"ref": "earos92/test-python", "kernel_id": "69028"}, {"ref": "akaakaaka/notebook9efda574e9", "kernel_id": "121334"}, {"ref": "jeledouget/notebook-4e7e1d7319398383c8ee", "kernel_id": "66083"}, {"ref": "jeledouget/notebook-b4b0cafa7fc91e162c93", "kernel_id": "66085"}, {"ref": "jiechao/psychology-of-a-professional-athlete", "kernel_id": "70320"}, {"ref": "mattstringer/mapping-kobe-bryants-shots", "kernel_id": "55660"}, {"ref": "mattstringer/notebook-fcac5bb40ead5a29a47c", "kernel_id": "55663"}, {"ref": "mattstringer/notebook-421bd9f8afd84c186e17", "kernel_id": "55668"}, {"ref": "rahamoon/playing-with-kobe-s-data", "kernel_id": "69058"}, {"ref": "rahamoon/notebook-a4c3b5a23acfedca3596", "kernel_id": "69062"}, {"ref": "hmwang/post-competition-analysis", "kernel_id": "80788"}, {"ref": "hmwang/notebook-20d0f94c40cad25b3f55", "kernel_id": "80790"}, {"ref": "hmwang/notebook-3b7543d82fda23253b45", "kernel_id": "80791"}, {"ref": "hmwang/notebook-43f8b90d5ddaeb65ebd4", "kernel_id": "80793"}, {"ref": "hmwang/notebook-cc0b60efae0a85c2d834", "kernel_id": "69999"}, {"ref": "wangxiaohao/notebook-a7d9f9ecfb4ef11c5ffd", "kernel_id": "60254"}, {"ref": "wangxiaohao/notebook-13c16f8bae91888d849b", "kernel_id": "61198"}, {"ref": "wangxiaohao/notebook-fd1fc10fac5f49c12150", "kernel_id": "61199"}, {"ref": "gogolgrind/xgbryant", "kernel_id": "60640"}, {"ref": "gogolgrind/notebook-fabc60bb5096d2c513a9", "kernel_id": "60641"}, {"ref": "gogolgrind/12345f", "kernel_id": "60642"}, {"ref": "arjoonn/preliminary-exploration", "kernel_id": "54439"}, {"ref": "arjoonn/notebook-33f85f36c707236c502f", "kernel_id": "54265"}, {"ref": "mstoddard/data-analysis-for-beginners", "kernel_id": "63383"}, {"ref": "mstoddard/notebook-8e11f516c4a4f7143d42", "kernel_id": "63385"}, {"ref": "mstoddard/notebook-ff8c6eb2fb826e5949d6", "kernel_id": "68165"}, {"ref": "mstoddard/kobe-shots-show-me-your-best-model", "kernel_id": "68157"}, {"ref": "mstoddard/notebook-4933b990f10219fdd58d", "kernel_id": "68158"}, {"ref": "shibogo/psychology-of-a-professional-athlete", "kernel_id": "66540"}, {"ref": "awesomekris/shot-probability", "kernel_id": "63505"}, {"ref": "bhushank/script2-r", "kernel_id": "67736"}, {"ref": "dixhom/notebook-87c4ec53eef7545b6589", "kernel_id": "59270"}, {"ref": "dixhom/notebook-85724b2f5e480155331e", "kernel_id": "59237"}, {"ref": "dixhom/data-analysis-for-beginners", "kernel_id": "59238"}, {"ref": "hgao62/data-analysis-for-beginners", "kernel_id": "61309"}, {"ref": "shigehisa/notebook-647c3bd9baed1498eaf7", "kernel_id": "54364"}, {"ref": "kinder/interesting-facts-about-kobe", "kernel_id": "54702"}, {"ref": "zhaochd/deeee", "kernel_id": "68372"}, {"ref": "zhaochd/notebook-cc54f1944a9d614edd24", "kernel_id": "68361"}, {"ref": "zhaochd/notebook-a029060d7df21d28f937", "kernel_id": "68578"}, {"ref": "datamafia/notebook-b8c7970f6ca8c5afeff4", "kernel_id": "67769"}, {"ref": "datamafia/basic001", "kernel_id": "67762"}, {"ref": "zhpmatrix/data-analysis-for-beginners", "kernel_id": "61511"}, {"ref": "anokas/notebook-ce17bb13d1e25cac5062", "kernel_id": "55921"}, {"ref": "anokas/preliminary-exploration", "kernel_id": "55876"}, {"ref": "anokas/sport", "kernel_id": "55877"}, {"ref": "anokas/implementing-xgboost", "kernel_id": "55879"}, {"ref": "wpmoradi/psychology-of-a-professional-athlete", "kernel_id": "65573"}, {"ref": "sheshu/kobe-bb-prelimnary-exploration", "kernel_id": "164220"}, {"ref": "shuhart/kobe-shots-show-me-your-best-model", "kernel_id": "67615"}, {"ref": "shuhart/notebook-0281aff14dd9d04744b7", "kernel_id": "65735"}, {"ref": "qq532933297/practice", "kernel_id": "62053"}, {"ref": "qq532933297/kobe-shots-show-me-your-best-model", "kernel_id": "67526"}, {"ref": "qq532933297/notebook-82dd59da4d3b8e6a8983", "kernel_id": "67565"}, {"ref": "qq532933297/notebook-081b766e7fe9a13dac8f", "kernel_id": "67571"}, {"ref": "qq532933297/psychology-of-a-professional-athlete", "kernel_id": "93716"}, {"ref": "imnotwhoim/notebook-6f01c3a24b81a585c236", "kernel_id": "61986"}, {"ref": "sk1997/notebook-b059bfb2bb4ca84e81d5", "kernel_id": "68984"}, {"ref": "ljw1995622/notebook-6f49f6f2ea9a879a5afd", "kernel_id": "57076"}, {"ref": "tgjeon/notebook-b66312957e586dc7375b", "kernel_id": "56122"}, {"ref": "tgjeon/kobeshots", "kernel_id": "56131"}, {"ref": "voidgreedykkkai/notebook-f67ba85737a5c9780abc", "kernel_id": "69985"}, {"ref": "xtimand/kobe-shots-show-me-your-best-model", "kernel_id": "70395"}, {"ref": "igorbpf/notebook-99e1935394e4780216be", "kernel_id": "70983"}, {"ref": "igorbpf/kobe1", "kernel_id": "70984"}, {"ref": "igorbpf/notebook-22ad9e391ebc45a28670", "kernel_id": "67355"}, {"ref": "igorbpf/kobe-shots-show-me-your-best-model", "kernel_id": "67311"}, {"ref": "hzhangbrown/notebook-4b4a7357d6b53c90cb2d", "kernel_id": "62102"}, {"ref": "huklajj/notebook-fd734da065f9f17b84bf", "kernel_id": "73784"}, {"ref": "o1iver/notebook-449c1cc954707023771b", "kernel_id": "67612"}, {"ref": "o1iver/notebook-16bab2e638d13f35111f", "kernel_id": "67613"}, {"ref": "jafri123/notebooke42a51abef", "kernel_id": "108928"}, {"ref": "joshmcq/kobe-shots-show-me-your-best-model", "kernel_id": "92037"}, {"ref": "jrenzas/psychology-of-a-professional-athlete", "kernel_id": "68384"}, {"ref": "bar0cl33/kobe-shots-show-me-your-best-model", "kernel_id": "89648"}, {"ref": "bar0cl33/data-analysis-for-beginners", "kernel_id": "59688"}, {"ref": "tngodup/testing-notebook", "kernel_id": "68451"}, {"ref": "gioroulden/notebook-cf983faf4bb3892fddfa", "kernel_id": "69225"}, {"ref": "gioroulden/kobe-shot-py", "kernel_id": "69223"}, {"ref": "letfly/preliminary-exploration-1", "kernel_id": "56405"}, {"ref": "letfly/notebook-d5319a7ed012ee29459e", "kernel_id": "56407"}, {"ref": "letfly/notebook-65fef92062cca53ce100", "kernel_id": "56435"}, {"ref": "letfly/notebook-8c9162b2e5ba31443476", "kernel_id": "56437"}, {"ref": "saurabhg653/kobe-bryant", "kernel_id": "55062"}, {"ref": "saurabhg653/notebook-5bd48b3ad46b3ab6d842", "kernel_id": "55127"}, {"ref": "ccourtot/test-1", "kernel_id": "58751"}, {"ref": "ccourtot/svc-leaking", "kernel_id": "58795"}, {"ref": "aaron77217/notebook-1d2b78a02adf5a8a502e", "kernel_id": "61776"}, {"ref": "greghacob/testing", "kernel_id": "57511"}, {"ref": "martijnde/data-analysis-for-beginners", "kernel_id": "61441"}, {"ref": "aakashkerawat/exploring-and-predicting-lb-score-0-60160", "kernel_id": "247002"}, {"ref": "srocamon/xgbryant", "kernel_id": "66241"}, {"ref": "singh350/notebook-9716d1d4c5f05815ec96", "kernel_id": "69679"}, {"ref": "singh350/data-analysis-for-beginners", "kernel_id": "69674"}, {"ref": "alexparub/notebook-1d7312d43ce6ed4108b2", "kernel_id": "72237"}, {"ref": "alexparub/kobe-s-shots-exploration", "kernel_id": "72240"}, {"ref": "seanxiay/notebook-a6d70022552898aa549a", "kernel_id": "60942"}, {"ref": "seanxiay/psychology-of-a-professional-athlete", "kernel_id": "60939"}, {"ref": "seanxiay/notebook-56db2583a2981295d407", "kernel_id": "60940"}, {"ref": "huangweijie/notebook-cfce790d0709f35c1e2b", "kernel_id": "63324"}, {"ref": "huangweijie/kobe-bryant", "kernel_id": "63320"}, {"ref": "huangweijie/notebook-72894a6494045d79b3e3", "kernel_id": "61698"}, {"ref": "huangweijie/notebook-093f0ee583d8cb8f27f6", "kernel_id": "62216"}, {"ref": "patel573/notebook-4fd761dae7b68d7c0e23", "kernel_id": "65795"}, {"ref": "patel573/kobey-bryant-shot-visualizations", "kernel_id": "70950"}, {"ref": "patel573/bartmachine-vs-svm-vs-xgboost", "kernel_id": "70952"}, {"ref": "armandoteo/contour-plot", "kernel_id": "70087"}, {"ref": "anurag10/data-analysis-for-beginners", "kernel_id": "79399"}, {"ref": "perryli/updating-xgboost-giving-logloss-around-0-602", "kernel_id": "188460"}, {"ref": "perryli/lpf123", "kernel_id": "184672"}, {"ref": "jihyeseo/koby-bryant-basketball-shot-eda", "kernel_id": "958312"}, {"ref": "wzwrwjbsy/kobe-shots-show-me-your-best-model", "kernel_id": "68831"}, {"ref": "attilazz/notebook-832fb0c04b40797afab6", "kernel_id": "65730"}, {"ref": "attilazz/test-run", "kernel_id": "65728"}, {"ref": "devilc/preliminary-exploration", "kernel_id": "59288"}, {"ref": "wandabwa2004/notebook-7d8e021d29944fe850c4", "kernel_id": "59478"}, {"ref": "wandabwa2004/notebook-6d41240e6df573e122be", "kernel_id": "59257"}, {"ref": "wandabwa2004/notebook-da2ef2011e4934e1ae64", "kernel_id": "59179"}, {"ref": "wandabwa2004/notebook-0ec7791c1da4adb0ed6c", "kernel_id": "59184"}, {"ref": "wandabwa2004/notebook-de8ba270802847e12685", "kernel_id": "58869"}, {"ref": "wandabwa2004/preliminary-exploration", "kernel_id": "57229"}, {"ref": "whxandwqy/psychology-of-a-professional-athlete", "kernel_id": "64095"}, {"ref": "brunoeducsantos/data-analysis-for-beginners", "kernel_id": "61497"}, {"ref": "gaspardjallat/notebook-2eb1842e046c58cbcd8c", "kernel_id": "56922"}, {"ref": "nachilieder/who-is-kobe-s-true-rival", "kernel_id": "61245"}, {"ref": "nachilieder/notebook-1c7b9d20eda967f34688", "kernel_id": "61246"}, {"ref": "nachilieder/back-to-back-game-shots", "kernel_id": "65588"}, {"ref": "litingfeng/notebook-c1f4a78f28ae6010fced", "kernel_id": "71429"}, {"ref": "litingfeng/script-py", "kernel_id": "71430"}, {"ref": "jlrsource/initial-testing", "kernel_id": "60896"}, {"ref": "jlrsource/notebook-a356ad6a25bfbe0d441d", "kernel_id": "60897"}, {"ref": "jlrsource/notebook-f1abc03f81a5413d1f80", "kernel_id": "60898"}, {"ref": "chrissfq/notebook-14af3abca09db1b93031", "kernel_id": "63378"}, {"ref": "chrissfq/data-analysis-for-beginners", "kernel_id": "63671"}, {"ref": "chrissfq/psychology-of-a-professional-athlete", "kernel_id": "62707"}, {"ref": "chandanlehigh17/notebook-375f049992eedd1c1f30", "kernel_id": "58755"}, {"ref": "chandanlehigh17/notebook-3a71009668afaad7edc1", "kernel_id": "59882"}, {"ref": "imukever/test-myshell", "kernel_id": "60476"}, {"ref": "imukever/my-rshell", "kernel_id": "60698"}, {"ref": "davidilopez/xgboost-in-r-kobe-bryant-benchmark", "kernel_id": "68740"}, {"ref": "wangquan/notebook-b7cdc8cc9e0233ffb3a8", "kernel_id": "62721"}, {"ref": "wangquan/preliminary-exploration", "kernel_id": "62507"}, {"ref": "wangquan/notebook-7f12f26866dbf886fe92", "kernel_id": "62508"}, {"ref": "seu1tyz/notebook-b075550f91efa54f6505", "kernel_id": "59502"}, {"ref": "seu1tyz/preliminary-exploration", "kernel_id": "59490"}, {"ref": "seu1tyz/notebook-9b501c6ac824b85b83ba", "kernel_id": "59510"}, {"ref": "datasciencewonk/data-analysis-for-beginners", "kernel_id": "62225"}, {"ref": "anwarsadique/preliminary-exploration", "kernel_id": "56719"}, {"ref": "soglosedjro/preliminary-exploration", "kernel_id": "67873"}, {"ref": "soglosedjro/notebook-b4ec0f05be730df7a05e", "kernel_id": "67874"}, {"ref": "jihyunpark/notebook-7983288b0d5839d56e17", "kernel_id": "70743"}, {"ref": "jihyunpark/notebook-e55127510fc2b2b05e5a", "kernel_id": "70741"}, {"ref": "supeng/notebook-6f8db7e14577cf7466df", "kernel_id": "67004"}, {"ref": "supeng/notebook-d662db573aa98b2f3412", "kernel_id": "67005"}, {"ref": "supeng/data-analysis-for-beginners", "kernel_id": "65502"}, {"ref": "spacesda/notebook-23d4b1342b093e83afbe", "kernel_id": "70012"}, {"ref": "spacesda/notebook-f86892d58cd451f18718", "kernel_id": "71010"}, {"ref": "spacesda/psychology-of-a-professional-athlete", "kernel_id": "69093"}, {"ref": "spacesda/notebook-33c56679049de1c3cb8d", "kernel_id": "69120"}, {"ref": "andingo/notebook-3fb2fb5da56c14c9a522", "kernel_id": "69538"}, {"ref": "andingo/andingo-kobe", "kernel_id": "69539"}, {"ref": "fermon/notebook-695c75eedccd8e5f44cc", "kernel_id": "56536"}, {"ref": "julienmarchand/notebook-f6e6b66bbb41ad0d882c", "kernel_id": "58828"}, {"ref": "julienmarchand/notebook-0e4a2e4991083757d3f9", "kernel_id": "58274"}, {"ref": "julienmarchand/notebook-712c62c3f9fefbf2a32f", "kernel_id": "57645"}, {"ref": "wpncrh/notebook-2aad9cddf133676805dc", "kernel_id": "65212"}, {"ref": "hcuny0011/updating-xgboost-giving-logloss-around-0-602", "kernel_id": "112761"}, {"ref": "jpalasc1/notebook-a35ce86561811eb5c98b", "kernel_id": "61960"}, {"ref": "andreaslin/firstattempt", "kernel_id": "61440"}, {"ref": "mrmuffyman/notebook-782ff44eeb25bd69187a", "kernel_id": "55998"}, {"ref": "mrmuffyman/exploratory", "kernel_id": "55999"}, {"ref": "patanouk/kobee", "kernel_id": "70097"}, {"ref": "patanouk/notebook-ceaa721105cb6c0fb20c", "kernel_id": "70101"}, {"ref": "patanouk/notebook-52be8a99696c9f5cc3cd", "kernel_id": "70134"}, {"ref": "gzw8210/kobe-s-shots-exploration", "kernel_id": "149041"}, {"ref": "stansf/kobe-shots-show-me-your-best-model", "kernel_id": "153240"}, {"ref": "yoannbi/notebook-048a7c1404b03ba77685", "kernel_id": "56888"}, {"ref": "yoannbi/notebook-a22b08dd743d3b6e0604", "kernel_id": "56535"}, {"ref": "yoannbi/notebook-edf024b6925cc4fd3e04", "kernel_id": "56530"}, {"ref": "yoannbi/kobechart-testfork", "kernel_id": "56531"}, {"ref": "yoannbi/notebook-5b140c261a9958cde69b", "kernel_id": "56532"}, {"ref": "yoannbi/notebook-161330ac399b5bc197f7", "kernel_id": "56620"}, {"ref": "tashlinr/data-analysis-for-beginners", "kernel_id": "60421"}, {"ref": "sangchengyan/kobechart", "kernel_id": "56915"}, {"ref": "jkfdre/psychology-of-a-professional-athlete-79d6ba22", "kernel_id": "132839"}, {"ref": "jkfdre/psychology-of-a-professional-athlete", "kernel_id": "132832"}, {"ref": "shuicaorj1036081/predict", "kernel_id": "70889"}, {"ref": "shuicaorj1036081/notebook-6aed7bcbc7577e5204e1", "kernel_id": "70887"}, {"ref": "shuicaorj1036081/notebook-35da90600323a2e8f305", "kernel_id": "70879"}, {"ref": "shuicaorj1036081/notebook-ceafce415f9feb9818a7", "kernel_id": "70633"}, {"ref": "shuicaorj1036081/notebook-633cd6e0c10026a10c10", "kernel_id": "70620"}, {"ref": "shuicaorj1036081/notebook-c29bd7823c1ebacf9849", "kernel_id": "70621"}, {"ref": "shuicaorj1036081/notebook-7d8ddddc5bd1f5d090b5", "kernel_id": "70611"}, {"ref": "shuicaorj1036081/notebook-094581cd1f69a194e16f", "kernel_id": "70612"}, {"ref": "shuicaorj1036081/notebook-a219bbb0578078a9b6a7", "kernel_id": "70613"}, {"ref": "shuicaorj1036081/notebook-1612c287b6073d0893ca", "kernel_id": "70614"}, {"ref": "shuicaorj1036081/notebook-fabbb0e34195a8b97a3a", "kernel_id": "70629"}, {"ref": "shuicaorj1036081/notebook-78ab0c4e2d9ffd26df25", "kernel_id": "70630"}, {"ref": "shuicaorj1036081/notebook-75550bdf2af8efd55d0d", "kernel_id": "70631"}, {"ref": "shuicaorj1036081/notebook-e6f937408575d6b3dd42", "kernel_id": "70623"}, {"ref": "shuicaorj1036081/notebook-f6265f38fa90006e8aa0", "kernel_id": "70625"}, {"ref": "xiguansir/psychology-of-a-professional-athlete", "kernel_id": "59469"}, {"ref": "xiguansir/notebook-115115ec5ffe20ada779", "kernel_id": "59472"}, {"ref": "tsveaeia/notebook-007f73bdcd580f2c0888", "kernel_id": "71382"}, {"ref": "tsveaeia/notebook-115621693734c346b413", "kernel_id": "71370"}, {"ref": "tsveaeia/kobe-first-implementation", "kernel_id": "71371"}, {"ref": "tsveaeia/notebook-d0089f8e1e62aaca6874", "kernel_id": "71376"}, {"ref": "tsveaeia/notebook-dd147b94b796e1d896f3", "kernel_id": "71377"}, {"ref": "tsveaeia/notebook-4dd36d1111a12b41b9c3", "kernel_id": "71378"}, {"ref": "tsveaeia/kobe-first-steps-random-forest", "kernel_id": "71379"}, {"ref": "tsveaeia/notebook-8ed14b8d5404af2a1419", "kernel_id": "71349"}, {"ref": "tsveaeia/notebook-ecf958207970046d071f", "kernel_id": "71352"}, {"ref": "tsveaeia/notebook-fafaae852eff0ffa4ef3", "kernel_id": "59581"}, {"ref": "tsveaeia/notebook-a32002019a1ef8191b82", "kernel_id": "59583"}, {"ref": "tsveaeia/notebook-9a538b2b1615eef90d11", "kernel_id": "74110"}, {"ref": "weswilin/notebook-1a463bd77785cc11f63a", "kernel_id": "58109"}, {"ref": "jameshan/kobe-s-shots-exploration", "kernel_id": "58513"}, {"ref": "jameshan/notebook-68524fc8beeab9317446", "kernel_id": "58518"}, {"ref": "jameshan/notebook-b0bf8b2fd4bb7522e936", "kernel_id": "58519"}, {"ref": "jameshan/kobechart", "kernel_id": "58520"}, {"ref": "jameshan/notebook-0a61b704e12c743ec586", "kernel_id": "70731"}, {"ref": "mrchianglin/notebook-58e8b7f9b1098aa59c39", "kernel_id": "58605"}, {"ref": "rajeev921/data-analysis-for-beginners", "kernel_id": "60220"}, {"ref": "rajeev921/notebook-07f7ac2988274e9d140f", "kernel_id": "60720"}, {"ref": "rajeev921/notebook-73c3fd7f4d6aff95c597", "kernel_id": "61300"}, {"ref": "rnoeml/notebook-58eda5c40ff58562ab0e", "kernel_id": "59224"}, {"ref": "openthings/data-analysis-for-beginners", "kernel_id": "59302"}, {"ref": "anshuman13/kobe-first-steps-random-forest", "kernel_id": "71940"}, {"ref": "amcw7777/notebook-01395b99e2c800c420ab", "kernel_id": "58783"}, {"ref": "wyman1024/testasdada", "kernel_id": "59609"}, {"ref": "seanscott02/sdsdf", "kernel_id": "65021"}, {"ref": "aymenzaghouani/scriptpp", "kernel_id": "70847"}, {"ref": "saillaser/psychology-of-a-professional-athlete", "kernel_id": "59751"}, {"ref": "saillaser/notebook-d5e8bcfb19ef955a36db", "kernel_id": "59752"}, {"ref": "saillaser/kobe-shot-probability-plot", "kernel_id": "59753"}, {"ref": "omotofine/data-analysis-for-beginners", "kernel_id": "59809"}, {"ref": "schirmerchad/data-analysis-for-beginners", "kernel_id": "59914"}, {"ref": "schirmerchad/notebook-9d826fab03b6da61cf76", "kernel_id": "60033"}, {"ref": "weiwohengda/notebook-28ee05435a170d17d625", "kernel_id": "61027"}, {"ref": "tonyliu/shots-contour-plot", "kernel_id": "61912"}, {"ref": "tonyliu/kobe-shots-heat-map-by-opponent-and-area", "kernel_id": "61984"}, {"ref": "tonyliu/notebook-cb2cd6524a3f22c714c6", "kernel_id": "61744"}, {"ref": "mannyyip/notebook-31ce1545dcb5253ec101", "kernel_id": "61127"}, {"ref": "ihorkalaida/notebook-3e29dc2a324f22d72c2a", "kernel_id": "61633"}, {"ref": "ihorkalaida/preliminary-exploration", "kernel_id": "61634"}, {"ref": "ihorkalaida/notebook-9f44ba4b775d6f04f19b", "kernel_id": "61636"}, {"ref": "ihorkalaida/testing", "kernel_id": "61640"}, {"ref": "ihorkalaida/kobechart-testfork", "kernel_id": "61619"}, {"ref": "yoavprei/notebook46810c8bbf", "kernel_id": "128379"}, {"ref": "yoavprei/notebookfb028f9b91", "kernel_id": "128382"}, {"ref": "narimiran/a-beginners-attempt-in-ml", "kernel_id": "63729"}, {"ref": "narimiran/notebook-7d1b820c5f1048875cf0", "kernel_id": "62878"}, {"ref": "narimiran/notebook-01d26ce5106cd419ffaf", "kernel_id": "62870"}, {"ref": "narimiran/notebook-5c01133b0f3cf6881b20", "kernel_id": "62858"}, {"ref": "narimiran/notebook-cdf8130711438810ee07", "kernel_id": "62859"}, {"ref": "narimiran/absolute-beginner", "kernel_id": "62860"}, {"ref": "narimiran/notebook-ba77ddb25511328e7093", "kernel_id": "62894"}, {"ref": "sdcskaho/xgboost", "kernel_id": "70867"}, {"ref": "sdcskaho/kkaho", "kernel_id": "68254"}, {"ref": "sdcskaho/kaho8", "kernel_id": "68257"}, {"ref": "alexhanbing2016/notebook-19bba9b99cd8a1283f33", "kernel_id": "70673"}, {"ref": "alexhanbing2016/notebook-2c16f33942a3eb6f27f1", "kernel_id": "70029"}, {"ref": "alexhanbing2016/notebook-c23a64ebdc0d96357ff5", "kernel_id": "70030"}, {"ref": "alexhanbing2016/data-analysis-for-beginners", "kernel_id": "70042"}, {"ref": "alexhanbing2016/notebook-b5ca3bbf86e439f036f3", "kernel_id": "70044"}, {"ref": "alexhanbing2016/notebook-b3c400554a4db4a3055b", "kernel_id": "70045"}, {"ref": "alexhanbing2016/notebook-b6385c7357c6a42e4740", "kernel_id": "70046"}, {"ref": "alexhanbing2016/notebook-884e301956783d09fd43", "kernel_id": "70047"}, {"ref": "alexhanbing2016/notebook-93fec2d18ecbe4e92cc5", "kernel_id": "70049"}, {"ref": "sdcswwx/notebook-045631ce5df892aa4526", "kernel_id": "77176"}, {"ref": "surajpai/notebook-fed71caae01eb9a7a79c", "kernel_id": "71240"}, {"ref": "cherishwp/notebook-70a1d92751e3acff9457", "kernel_id": "63147"}, {"ref": "cherishwp/kobe-shots-show-me-your-best-model", "kernel_id": "68713"}, {"ref": "cherishwp/absolute-beginner", "kernel_id": "68714"}, {"ref": "cherishwp/notebook-facda8d4ade7bcb0e626", "kernel_id": "69856"}, {"ref": "lihappy999/notebook-962f3c1712274a18fbea", "kernel_id": "66486"}, {"ref": "lightman/notebook1c82222538", "kernel_id": "93584"}, {"ref": "hakabuk/notebook3ac3778702", "kernel_id": "86654"}, {"ref": "bezuchov/absolute-beginner", "kernel_id": "67051"}, {"ref": "mraykay/psychology-of-a-professional-athlete", "kernel_id": "149092"}, {"ref": "xiwang/notebook-924a45cbf49413d9bdb0", "kernel_id": "67655"}, {"ref": "xiwang/notebook-f586d2f0dc57e804b56e", "kernel_id": "67656"}, {"ref": "xiwang/notebook-19d59785e438ce8c2c59", "kernel_id": "67657"}, {"ref": "nitink12/absolute-beginner", "kernel_id": "71779"}, {"ref": "cfb2105/notebook-80287f357fa73880a60a", "kernel_id": "64573"}, {"ref": "cfb2105/notebook-960aac34e705c44d6863", "kernel_id": "64574"}, {"ref": "cfb2105/selecting-shot-distance", "kernel_id": "64575"}, {"ref": "wangjkccsg/notebook-b268407bbe9d5ce47d53", "kernel_id": "67014"}, {"ref": "mattgordon82/notebook-c40845414dc9e0cfbd65", "kernel_id": "70418"}, {"ref": "mattgordon82/notebook-6373c14ee911593387a0", "kernel_id": "70031"}, {"ref": "nicoga/notebook-7f61ae8e08c42637c5e3", "kernel_id": "66334"}, {"ref": "amirshahal/absolute-beginner", "kernel_id": "66030"}, {"ref": "bissben/notebook-be05f6519ccc66091e7a", "kernel_id": "67607"}, {"ref": "mpalamar/prelim-explorer", "kernel_id": "66931"}, {"ref": "chenying309/notebook-d0dd43ffc175d2203b5f", "kernel_id": "68345"}, {"ref": "acenewgate/notebook-1cd97d8ab4946de12cc1", "kernel_id": "67217"}, {"ref": "limboking3/notebook-daf6e01a9c618b3fd1c0", "kernel_id": "68748"}, {"ref": "limboking3/notebook-e5e43b9943b72a301bf4", "kernel_id": "68741"}, {"ref": "limboking3/notebook-a8a2e6d582c042dc6b1a", "kernel_id": "68742"}, {"ref": "limboking3/notebook-f99ed19086ec0b815358", "kernel_id": "68743"}, {"ref": "lieberman/libog", "kernel_id": "67405"}, {"ref": "mtlim84/notebook-46031859cb8806bbbf9c", "kernel_id": "69145"}, {"ref": "mikevdickson/exploring-the-dataset", "kernel_id": "68460"}, {"ref": "holdonnn/notebook-7445f6c2eee831f6be71", "kernel_id": "69437"}, {"ref": "holdonnn/gogogo", "kernel_id": "69438"}, {"ref": "sdcsnliu/notebook-b51bfd7c704361549779", "kernel_id": "67759"}, {"ref": "heycheerup/notebook-344a365ef97f37ac88c6", "kernel_id": "69711"}, {"ref": "downy78/kobe-shots-show-me-your-best-model", "kernel_id": "70300"}, {"ref": "downy78/notebook-7ee935e9799bb48497f9", "kernel_id": "67953"}, {"ref": "yigeli/notebook-9355a21b7c662dcbad21", "kernel_id": "67942"}, {"ref": "yanfeiru/data-analysis-for-beginners", "kernel_id": "68084"}, {"ref": "woutaa/kobe-shots-show-me-your-best-model", "kernel_id": "72193"}, {"ref": "woutaa/shot-probability", "kernel_id": "72135"}, {"ref": "albadr/notebook-1f3373e51e4297bfc2ce", "kernel_id": "70061"}, {"ref": "albadr/notebook-6b700e47647a093a85a5", "kernel_id": "69738"}, {"ref": "ucdestyla/notebook-3200e98adce36f1d6054", "kernel_id": "69111"}, {"ref": "ryanyuan42/psychology-of-a-professional-athlete", "kernel_id": "68707"}, {"ref": "ggdg12/notebook-b94fd9df5cbe9a4cfe4d", "kernel_id": "68994"}, {"ref": "ggdg12/notebook-dc37930c71b9b0d4105a", "kernel_id": "68996"}, {"ref": "ggdg12/data-analysis", "kernel_id": "68905"}, {"ref": "ggdg12/notebook-ee80f4fb8d4235260c93", "kernel_id": "68906"}, {"ref": "ggdg12/psychology-of-a-professional-athlete", "kernel_id": "68907"}, {"ref": "ggdg12/spotting-great-features", "kernel_id": "68980"}, {"ref": "feiyuan21/notebook-f7080421fa7dbe7ed21c", "kernel_id": "69370"}, {"ref": "feiyuan21/test-1-yf", "kernel_id": "69371"}, {"ref": "slrsnpdla/parkscript", "kernel_id": "69755"}, {"ref": "slrsnpdla/parkscript2", "kernel_id": "69819"}, {"ref": "xoxox5567/data-analysis-for-beginners", "kernel_id": "71293"}, {"ref": "xoxox5567/notebook-4ced83f65d02dbd28825", "kernel_id": "71294"}, {"ref": "xoxox5567/psychology-of-a-professional-athlete", "kernel_id": "75032"}, {"ref": "ccuulinay/psychology-of-a-professional-athlete", "kernel_id": "89964"}, {"ref": "ccuulinay/psychology-of-a-professional-athlete-9e62355f", "kernel_id": "93261"}, {"ref": "ccuulinay/kobe-shots-show-me-your-best-model", "kernel_id": "93262"}, {"ref": "nixgdill/playing-with-data", "kernel_id": "69296"}, {"ref": "denistorre/notebook-4d496bdc04100b97d389", "kernel_id": "69962"}, {"ref": "achang/notebook-27b9924df7c3112ad15e", "kernel_id": "72260"}, {"ref": "myungsucha/kobe-shots-show-me-your-best-model", "kernel_id": "70758"}, {"ref": "r45r54r45/fqwfqw", "kernel_id": "70344"}, {"ref": "r45r54r45/qdwqwd", "kernel_id": "70340"}, {"ref": "artemid/notebook-4c48609316f11f5022ac", "kernel_id": "70831"}, {"ref": "artemid/test2e", "kernel_id": "70832"}, {"ref": "artemid/notebook-c0d94dfeb44071e12cfe", "kernel_id": "70833"}, {"ref": "artemid/zedrgfh", "kernel_id": "70836"}, {"ref": "artemid/first", "kernel_id": "70857"}, {"ref": "artemid/notebook-18be5c2d9d8f7247582d", "kernel_id": "70926"}, {"ref": "davidreber/data-analysis-for-beginners", "kernel_id": "70935"}, {"ref": "davidreber/notebook-9305e77c1a0902da5e36", "kernel_id": "70939"}, {"ref": "davidreber/notebook-3fc28f1deed19b51daed", "kernel_id": "70940"}, {"ref": "ekoduah12/notebook7b5001b0de", "kernel_id": "87083"}, {"ref": "sjain58/notebook-8443ec183b7b25085014", "kernel_id": "72764"}, {"ref": "sjain58/notebook-3003db198f0e05a47250", "kernel_id": "72759"}, {"ref": "sjain58/notebook-7b888296fa647f469669", "kernel_id": "72760"}, {"ref": "roger24/notebookf5c9ebff8c", "kernel_id": "154605"}, {"ref": "losewell/notebook-dfd9a0c05da4b70b6195", "kernel_id": "74526"}, {"ref": "hao2016/notebook-46fd6b092facc8c46005", "kernel_id": "80250"}, {"ref": "hao2016/notebook-f08e57970b0991b6c6d5", "kernel_id": "80251"}, {"ref": "hao2016/notebook-4245669e6af486b008b1", "kernel_id": "80252"}, {"ref": "noahryan22/notebook-ea61dcb17f0348e9d56a", "kernel_id": "79719"}, {"ref": "satchel/psychology-of-a-professional-athlete", "kernel_id": "85270"}, {"ref": "satchel/notebook-b8d633b547fd43a82697", "kernel_id": "85271"}, {"ref": "satchel/notebook-2a81b9901086d99afa2d", "kernel_id": "85272"}, {"ref": "xiaoranone/notebook9d97cefc4f", "kernel_id": "248106"}, {"ref": "dydwns/notebook-bc38d8aca39161b70848", "kernel_id": "81683"}, {"ref": "dydwns/notebook-fa53f43314fac3f30436", "kernel_id": "81685"}, {"ref": "dydwns/notebook-eb16e40e0da61e10200d", "kernel_id": "81686"}, {"ref": "dydwns/notebook-b254d7d30a0cb3431133", "kernel_id": "81687"}, {"ref": "rinfosho/kobe-bryant-shot-analysis", "kernel_id": "84016"}, {"ref": "rinfosho/notebook-c9f438eaebcc07c6e3a7", "kernel_id": "84017"}, {"ref": "rinfosho/notebook-df66f66fc135b6bfdc50", "kernel_id": "84012"}, {"ref": "qualcom/mapping-kobe-bryants-shots", "kernel_id": "94693"}, {"ref": "franklinma/psychology-of-a-professional-athlete", "kernel_id": "104678"}, {"ref": "franklinma/the-inevitable-aging-of-a-star", "kernel_id": "112252"}, {"ref": "harlfoxem/kobe-shots-show-me-your-best-model", "kernel_id": "89755"}, {"ref": "ankushjain/test-09", "kernel_id": "109343"}, {"ref": "ankushjain/test-813", "kernel_id": "110514"}, {"ref": "ankushjain/test-812", "kernel_id": "110495"}, {"ref": "jinrui/kobyshoot", "kernel_id": "270549"}, {"ref": "hanx17/notebook59a40ca784", "kernel_id": "120530"}, {"ref": "dmitriybulanov/notebook42c0b135ce", "kernel_id": "145231"}, {"ref": "patjob/exploratory-shot-analysis", "kernel_id": "328866"}, {"ref": "rakeshkasa/preliminary-exploration", "kernel_id": "172470"}, {"ref": "rakeshkasa/preliminary-exploration-8e03d8f6", "kernel_id": "172471"}, {"ref": "nana148/xgbryant", "kernel_id": "168301"}, {"ref": "realbeck15/data-analysis-for-beginners", "kernel_id": "114736"}, {"ref": "yangfu/psychology-of-a-professional-athlete", "kernel_id": "136833"}, {"ref": "yangfu/notebook96400f2061", "kernel_id": "136830"}, {"ref": "rocket1037/data-analysis-for-beginners", "kernel_id": "129226"}, {"ref": "davidhou/oneshot", "kernel_id": "163281"}, {"ref": "marzoukerberg/submission", "kernel_id": "183626"}, {"ref": "marzoukerberg/submission-4", "kernel_id": "184442"}, {"ref": "marzoukerberg/submission-3", "kernel_id": "184436"}, {"ref": "marzoukerberg/submission2", "kernel_id": "184411"}, {"ref": "marzoukerberg/regression-lin-aire", "kernel_id": "185299"}, {"ref": "marzoukerberg/logistic-regression", "kernel_id": "185437"}, {"ref": "marzoukerberg/testww", "kernel_id": "190974"}, {"ref": "marzoukerberg/df-df-drop-shot-id-1", "kernel_id": "190791"}, {"ref": "marzoukerberg/gradientboostingclassifier", "kernel_id": "190764"}, {"ref": "marzoukerberg/test-submission", "kernel_id": "190742"}, {"ref": "marzoukerberg/test-pou-0-6", "kernel_id": "189640"}, {"ref": "marzoukerberg/submission10", "kernel_id": "189662"}, {"ref": "marzoukerberg/lr-pour-le-0-6", "kernel_id": "189617"}, {"ref": "marzoukerberg/lr-top-features", "kernel_id": "189605"}, {"ref": "jing01/kobe-first-steps-random-forest", "kernel_id": "134878"}, {"ref": "jing01/kobe-first-steps-random-forest-7674be12", "kernel_id": "134885"}, {"ref": "jing01/kobe-shots-show-me-your-best-model", "kernel_id": "137970"}, {"ref": "luyaolin/kobe-bryant", "kernel_id": "110398"}, {"ref": "likaituo/kobe-shots-show-me-your-best-model", "kernel_id": "122029"}, {"ref": "lmfor3/notebook0976bb9698", "kernel_id": "244654"}, {"ref": "seiching/data-analysis-for-beginners", "kernel_id": "151265"}, {"ref": "andriuss/kobe-shots-show-me-your-best-model", "kernel_id": "186395"}, {"ref": "lukeandshuo/kobe-shots-show-me-your-best-model", "kernel_id": "111028"}, {"ref": "oceanbreaze/notebook61e23f271a", "kernel_id": "120103"}, {"ref": "saeednouhi/notebooke26575a703", "kernel_id": "119139"}, {"ref": "jasonhejingang/notebook84626bc389", "kernel_id": "113495"}, {"ref": "jasonhejingang/psychology-of-a-professional-athlete", "kernel_id": "124662"}, {"ref": "fzhu65/notebook87e1b7816e", "kernel_id": "117450"}, {"ref": "jrphilippe/psychology-of-a-professional-athlete", "kernel_id": "122719"}, {"ref": "jrphilippe/psychology-of-a-professional-athlete-d9564468", "kernel_id": "122721"}, {"ref": "deepakpunjabi/deepakpunjabi-kobe-bryant-shot-selection", "kernel_id": "123194"}, {"ref": "stigole/psychology-of-a-professional-athlete", "kernel_id": "122941"}, {"ref": "pchandra/notebook7830250233", "kernel_id": "132395"}, {"ref": "liyi1991/notebook40b3b98d3a", "kernel_id": "214808"}, {"ref": "liyi1991/notebookbd079ab902", "kernel_id": "214811"}, {"ref": "priyankar/kobe-shots-show-me-your-best-model", "kernel_id": "144575"}, {"ref": "wywh1995/pandas-read-csv-filepath-or-buffer", "kernel_id": "141337"}, {"ref": "renkaipeng/notebook5673d1f010", "kernel_id": "152525"}, {"ref": "andysheng/notebook8372b50209", "kernel_id": "166387"}, {"ref": "willismax/notebook18d97b0a64", "kernel_id": "158360"}, {"ref": "willismax/notebook4b122d4506", "kernel_id": "158367"}, {"ref": "jeffsen/kobe-bryant-shot-selection-predict", "kernel_id": "220866"}, {"ref": "goodlucky/kobe-shots-show-me-your-best-model", "kernel_id": "192546"}, {"ref": "aburkard/notebook0163cb2cc1", "kernel_id": "204001"}, {"ref": "jonathancham/kobe-bryant", "kernel_id": "257249"}, {"ref": "jramirezv/notebook2f12cdfa30", "kernel_id": "228169"}, {"ref": "hankpeng03/notebook87ba87fb11", "kernel_id": "290088"}, {"ref": "grx123/notebook4d757fa035", "kernel_id": "232209"}, {"ref": "fishugh/notebook3ec2cf180d", "kernel_id": "237006"}, {"ref": "sungminlee/simple-deep-learning-using-keras", "kernel_id": "744052"}, {"ref": "ryad87/kobe-analysis", "kernel_id": "294186"}, {"ref": "icedlattee/notebook1f3fc814d2", "kernel_id": "272197"}, {"ref": "songxiaohui/kobe-shots-show-me-your-best-model", "kernel_id": "292026"}, {"ref": "xvivancos/kobe-bryant-shot-selection", "kernel_id": "853569"}, {"ref": "mayu0116/my-second-exploratory-data-analysis", "kernel_id": "349269"}, {"ref": "franciscodiogo/predicting-assists-would-be-easier", "kernel_id": "458577"}, {"ref": "plasticgrammer/kobe-shot-selection-training", "kernel_id": "808208"}, {"ref": "ctuckercva/messing-with-kobe-again", "kernel_id": "620779"}, {"ref": "aralnorman/neural-networks-tryouts-on-kobe", "kernel_id": "968971"}, {"ref": "tobikaggle/xgboost-in-r-kobe-bryant-benchmark", "kernel_id": "1181845"}, {"ref": "rchitic17/xgb-basket-or-not", "kernel_id": "1349586"}, {"ref": "tejaeduc/kernelkobebryantanalysis", "kernel_id": "1088427"}, {"ref": "haticerat/kobe-bryant-shot-selection-exercise", "kernel_id": "1896374"}, {"ref": "myxue4869/kobe-keras-loocv", "kernel_id": "1193119"}, {"ref": "myxue4869/test-8", "kernel_id": "1182515"}, {"ref": "myxue4869/kobe-neural-network", "kernel_id": "1182566"}, {"ref": "myxue4869/kobe-grid-search-hyperparameter-tuning", "kernel_id": "1211380"}, {"ref": "caseyworks/eric-s-kobe-bryant-visualizations", "kernel_id": "1863879"}, {"ref": "pauzzz/kobe-shot-predict-xgb-logisticregression-base", "kernel_id": "1714311"}, {"ref": "jaaahaaa/kobe-bryant", "kernel_id": "1882040"}, {"ref": "vasa137/black-mamba", "kernel_id": "2682164"}, {"ref": "himselfthedecker/aam-atividade-final-avalia-o-space-jaml", "kernel_id": "3255059"}, {"ref": "jinxingw/kernel2a1f82dd2b", "kernel_id": "4406497"}, {"ref": "riemann1859/shots-of-kobe-random-forest", "kernel_id": "5613476"}, {"ref": "anilkay/kobeshot", "kernel_id": "6991790"}, {"ref": "eunjurho/kobe-bryant-shot-selection", "kernel_id": "6161111"}, {"ref": "cdaacarlosaumente/caumente-kobe-competition", "kernel_id": "6948977"}, {"ref": "patthoo/psychology-of-a-professional-athlete", "kernel_id": "8158118"}, {"ref": "patthoo/kobe-bryant-shot-selection", "kernel_id": "8158119"}, {"ref": "matt4byu/kobe-bryant-shot-selection-analysis-with-xgboost", "kernel_id": "10921742"}, {"ref": "adityaajay05/kobe-bryant-shot-selection", "kernel_id": "10524387"}, {"ref": "chitramdasgupta/kobe-bryant-shot-analysis", "kernel_id": "12041179"}, {"ref": "jossoaressobrinho/treemaps", "kernel_id": "12403564"}, {"ref": "ktykohbe/my-study-kobe-bryant-shot-selection", "kernel_id": "12278835"}, {"ref": "arturszczotarski/kobe-bryant-shots", "kernel_id": "13481558"}, {"ref": "marinovik/kobe-bryant-shot-selection-analysis", "kernel_id": "14356388"}, {"ref": "onigatari/kobe-bryant-shot-selection", "kernel_id": "14498134"}, {"ref": "jeongwonkim10516/kobe-bryant-shot-selection-increase-prediction", "kernel_id": "14201005"}, {"ref": "yoruuu/kobe-bryant-shot-selection", "kernel_id": "23754699"}, {"ref": "yoyooooi/kobe-basketball-shot-prediction", "kernel_id": "29909492"}, {"ref": "wet1101/kobe-s-shot-selection", "kernel_id": "30884637"}, {"ref": "shiyoutai/tix-kaggle-tsuji", "kernel_id": "31350335"}, {"ref": "canwoongdoit/data-analysis-for-beginners-jwu", "kernel_id": "33198071"}, {"ref": "seungjaeyeom/kobe-shot-selection", "kernel_id": "33272080"}, {"ref": "minzai0116/stpstp", "kernel_id": "45840080"}, {"ref": "braidenbroadbent/kobe-challenge", "kernel_id": "47618860"}, {"ref": "carsonpayne/kobe-s-shots", "kernel_id": "47424257"}, {"ref": "michaelokuda/kobe-bryant-analysis", "kernel_id": "47436915"}, {"ref": "hermite2010/kobe-shots-jb-random-forest", "kernel_id": "47166653"}, {"ref": "to1010101010101/kobe-shot-selection", "kernel_id": "47559412"}, {"ref": "brookeholtom/finalproject", "kernel_id": "47424260"}, {"ref": "andsosallycanwait00/modeling", "kernel_id": "47571004"}, {"ref": "andsosallycanwait00/predict-kobe-shots", "kernel_id": "47531668"}, {"ref": "joshuabott/kobebryantshotselectionjoshuabott", "kernel_id": "47309942"}, {"ref": "minzai0116/another-stpstp", "kernel_id": "47555110"}, {"ref": "xaiodeng1314/midwork", "kernel_id": "57310173"}, {"ref": "brahimy/kobe-shoots", "kernel_id": "58980167"}, {"ref": "wangkongqiang/kobe-bryant-shot-selection", "kernel_id": "62805459"}, {"ref": "jqsivdata/jqsiv-kobekaggle", "kernel_id": "66300620"}, {"ref": "paulmorrison/random-forests-model-kobe-shot-selection", "kernel_id": "72396045"}, {"ref": "daphnelesueur/kobe-bryant-shot-selection", "kernel_id": "72668818"}, {"ref": "jbergs12/kobebeanbryant", "kernel_id": "72361440"}, {"ref": "nathannielson/kobe-bryant-shot-selection", "kernel_id": "72702559"}, {"ref": "spencerfolkman/kobebryant-spencerfolkman", "kernel_id": "72714270"}, {"ref": "jakenielsen28/kobe-bryant-shot-selection-nielsen", "kernel_id": "72814380"}, {"ref": "connorgibb/connor-kobe-notebook", "kernel_id": "72822170"}, {"ref": "connorgibb/kobe-notebook", "kernel_id": "72818256"}, {"ref": "turni001/kobe-bryant-shot-selection", "kernel_id": "79974768"}, {"ref": "juneferre/predicting-kobe", "kernel_id": "99773107"}, {"ref": "brookeseeley/kobe-bryant-shot-selection", "kernel_id": "103778340"}, {"ref": "cooperriggs/kobe-shot-prediction-cooper-riggs", "kernel_id": "103514516"}, {"ref": "connertilghman/final-kobe-notebook", "kernel_id": "103700270"}, {"ref": "tatesmith33/kobe-xgboost", "kernel_id": "103779710"}, {"ref": "ryankrumperman/ryan-krumperman-kobe", "kernel_id": "103126072"}, {"ref": "pranavsanjaylandge/kobe-bryant-shot-selection", "kernel_id": "111261641"}, {"ref": "shunsukekita/notebook-datascience-2", "kernel_id": "124890368"}, {"ref": "amen045/notebooke45feb45fe", "kernel_id": "128451062"}, {"ref": "siokonnbu/notebookc4cebb93f8", "kernel_id": "128452314"}, {"ref": "fujimotokotaro/notebooka2bd725632", "kernel_id": "128425272"}, {"ref": "yoshidajun/notebook52747cd873", "kernel_id": "128431009"}, {"ref": "okitarysuke777/notebook1613e2a168-okita", "kernel_id": "128421008"}, {"ref": "shunsukekita/notebook-datascience", "kernel_id": "128449102"}]}
{"competition_id": "5186", "kernels": [{"ref": "antgoldbloom/notebook-9d2ef29389ad3bc5bacb", "kernel_id": "74720"}, {"ref": "benhamner/lasttry3", "kernel_id": "71574"}, {"ref": "benhamner/notebook-0e95b0a539d40f3d5f1e", "kernel_id": "66430"}, {"ref": "khanh94/random-forest-and-knn-on-a-few-blocks", "kernel_id": "71383"}, {"ref": "khanh94/notebook-e90355dda5bcf7e0c510", "kernel_id": "71386"}, {"ref": "defninja/notebook-2bc71038b5cd55c011fc", "kernel_id": "72709"}, {"ref": "defninja/data-exploration", "kernel_id": "72110"}, {"ref": "defninja/model-attempts", "kernel_id": "72139"}, {"ref": "ccccat/fv5-script-58251-v00", "kernel_id": "74641"}, {"ref": "ccccat/fv5-script-58251-v01", "kernel_id": "74647"}, {"ref": "milesmcbain/my-test", "kernel_id": "69450"}, {"ref": "vrdhananj/testscript00-for-fb", "kernel_id": "62502"}, {"ref": "vrdhananj/notebook-e26a6fa77c7e064988d8", "kernel_id": "62516"}, {"ref": "blindape/notebook-32016237428206db0d5a", "kernel_id": "73125"}, {"ref": "blindape/mad-scripts-battle-z", "kernel_id": "74688"}, {"ref": "larryfreeman/python-starter-0-55", "kernel_id": "66838"}, {"ref": "larryfreeman/3rd-place-solution-simple-version", "kernel_id": "79392"}, {"ref": "larryfreeman/accuracy-and-std-dev-of-x-y", "kernel_id": "73092"}, {"ref": "dmburt/baseline", "kernel_id": "79202"}, {"ref": "breakfastpirate/mad-scripts-battle-v2", "kernel_id": "63131"}, {"ref": "breakfastpirate/msb-with-validation-v2-0", "kernel_id": "63244"}, {"ref": "breakfastpirate/msb-with-validation-v3-0", "kernel_id": "63851"}, {"ref": "breakfastpirate/ensemble-submissions", "kernel_id": "64018"}, {"ref": "yatinece/notebook-de4bf658f0bfc061536d", "kernel_id": "72491"}, {"ref": "yatinece/explore-python", "kernel_id": "72493"}, {"ref": "yatinece/notebook-9258c1b4a4e7bb0e0d9f", "kernel_id": "72535"}, {"ref": "dmitrdv/notebook-d34c3148828b03419ad9", "kernel_id": "75146"}, {"ref": "dmitrdv/model-hist", "kernel_id": "75147"}, {"ref": "scottwied/notebook-2a454556ed45381492ab", "kernel_id": "63576"}, {"ref": "sureshshanmugam/first-script", "kernel_id": "62214"}, {"ref": "nishikantdhanuka/notebook-9637437bb3c346be8523", "kernel_id": "65321"}, {"ref": "nitinbhardwaj00/data-exploration-and-visualisations", "kernel_id": "64019"}, {"ref": "groolyg/notebook-f710fce367e3c4a40cda", "kernel_id": "68779"}, {"ref": "ab90hi/script-for-eda", "kernel_id": "63056"}, {"ref": "pyrite/fbcomp", "kernel_id": "68453"}, {"ref": "jeongyoonlee/notebook-6d7ae774a56522f67e7b", "kernel_id": "70498"}, {"ref": "jeongyoonlee/notebook-92713e51d62cb9a39f44", "kernel_id": "70495"}, {"ref": "strongai/on-time", "kernel_id": "62893"}, {"ref": "makismarketos/myattempt", "kernel_id": "74485"}, {"ref": "kubera/myfirstscript", "kernel_id": "63447"}, {"ref": "kubera/notebook-a593def273b734d31e98", "kernel_id": "63445"}, {"ref": "jcsantos/notebook-2074b7fd4a26aa692d33", "kernel_id": "63274"}, {"ref": "jcsantos/notebook-32d615954d893c0299e5", "kernel_id": "63287"}, {"ref": "isawjet/facebook-random-forest", "kernel_id": "63779"}, {"ref": "isawjet/notebook-a0edad75077559dee3f9", "kernel_id": "63803"}, {"ref": "isawjet/notebook-bef78ef64fc79738beed", "kernel_id": "63804"}, {"ref": "bsrinadh/quick-look-at-the-data", "kernel_id": "65300"}, {"ref": "bsrinadh/notebook-1fda6db377d3fe37420c", "kernel_id": "65301"}, {"ref": "howardxie/get-nbym-grid", "kernel_id": "65540"}, {"ref": "satomacoto/notebook-e77c1c0685a1e2315aa9", "kernel_id": "76138"}, {"ref": "satomacoto/notebook-c1e869d275c38e939403", "kernel_id": "63593"}, {"ref": "satomacoto/notebook-cbcc9d95b839429af853", "kernel_id": "62720"}, {"ref": "satomacoto/notebook-1dbefbe84962fe3fe1e1", "kernel_id": "66439"}, {"ref": "satomacoto/notebook-c68a8b2904366c4aa961", "kernel_id": "66440"}, {"ref": "satomacoto/notebook-96d3a1246c7773b725d2", "kernel_id": "66200"}, {"ref": "satomacoto/notebook-023ba250c77baa60bc75", "kernel_id": "66201"}, {"ref": "satomacoto/notebook-2367f646277f9d7af20f", "kernel_id": "66202"}, {"ref": "satomacoto/notebook-50b1ac8abff2448e3bce", "kernel_id": "66203"}, {"ref": "satomacoto/notebook-d697320316d3991303e5", "kernel_id": "66212"}, {"ref": "satomacoto/notebook-80e13064d580fced5016", "kernel_id": "66207"}, {"ref": "satomacoto/notebook-3bba060a40b7d2c9525a", "kernel_id": "65908"}, {"ref": "satomacoto/notebook-e402dd8ed567a7669437", "kernel_id": "65932"}, {"ref": "satomacoto/notebook-d7f49b3e5f388eab177f", "kernel_id": "65933"}, {"ref": "satomacoto/notebook-1f99f6d8e9244ce74f9d", "kernel_id": "65934"}, {"ref": "satomacoto/notebook-e4d8ee9c285236fc0f69", "kernel_id": "65935"}, {"ref": "satomacoto/notebook-db675c969991227b098d", "kernel_id": "65937"}, {"ref": "satomacoto/notebook-ffdccfb1516e3af6323f", "kernel_id": "65921"}, {"ref": "satomacoto/notebook-2ef226f332ca136a5e13", "kernel_id": "65923"}, {"ref": "satomacoto/kdtree", "kernel_id": "65899"}, {"ref": "satomacoto/timestamp-distribution-for-each-place", "kernel_id": "66509"}, {"ref": "satomacoto/notebook-a6c09dd520e17d2d3f45", "kernel_id": "66647"}, {"ref": "satomacoto/kdtree3", "kernel_id": "66648"}, {"ref": "itenyh/test-version", "kernel_id": "79127"}, {"ref": "itenyh/python-starter-0-55", "kernel_id": "70290"}, {"ref": "itenyh/python-starter", "kernel_id": "70294"}, {"ref": "itenyh/python-starter-1", "kernel_id": "70297"}, {"ref": "abgoswam/datapeek", "kernel_id": "71275"}, {"ref": "weizhezhang/notebook-dbc0910d203c7fb2e0ee", "kernel_id": "73704"}, {"ref": "weizhezhang/notebook-0ca90af264f3148d2d6e", "kernel_id": "68274"}, {"ref": "thakurrajanand/mad-scripts-battle", "kernel_id": "62762"}, {"ref": "ivintik/fbcheckin", "kernel_id": "64069"}, {"ref": "fabmilo/data-exploration", "kernel_id": "62730"}, {"ref": "msjgriffiths/exploratory-data-analysis", "kernel_id": "62254"}, {"ref": "aconsapart/notebook-d4af69f1b60a72f07df5", "kernel_id": "62555"}, {"ref": "aconsapart/notebook-61f1a8fe3074ed836aa2", "kernel_id": "62294"}, {"ref": "tillmann/notebook-96b1b892c0db38884f06", "kernel_id": "73847"}, {"ref": "tillmann/notebook-17fb7f8dfbbebd8d4ad1", "kernel_id": "73848"}, {"ref": "spatry/notebook-884f843147db9aa54e42", "kernel_id": "63590"}, {"ref": "kumarmankala/notebook-3f4f6412745cff7ca068", "kernel_id": "62572"}, {"ref": "kumarmankala/notebook-6d95d93f3b0604a9fc36", "kernel_id": "62574"}, {"ref": "kumarmankala/exploratory-data-analysis", "kernel_id": "62615"}, {"ref": "kumarmankala/notebook-6ede407151d751e6b84f", "kernel_id": "68444"}, {"ref": "kumarmankala/random-forest-on-a-few-blocks", "kernel_id": "68446"}, {"ref": "kumarmankala/notebook-f5eb0edc92cd74b49f4a", "kernel_id": "68434"}, {"ref": "kumarmankala/notebook-980c4d9403ba6165eb35", "kernel_id": "68435"}, {"ref": "kumarmankala/notebook-785504614e5f006cb2e7", "kernel_id": "72200"}, {"ref": "kumarmankala/computing-place-centroids", "kernel_id": "72707"}, {"ref": "kumarmankala/notebook-c8a46c33132c97a9fb5a", "kernel_id": "72698"}, {"ref": "darshanms1991/notebook-41ea9639f0599e664de3", "kernel_id": "62477"}, {"ref": "darshanms1991/analyzing-the-data", "kernel_id": "62478"}, {"ref": "darshanms1991/notebook-dc2635b9c6d7df4e8d99", "kernel_id": "62444"}, {"ref": "darshanms1991/quick-look-at-the-data", "kernel_id": "62437"}, {"ref": "darshanms1991/notebook-02306d51701e144771b6", "kernel_id": "62559"}, {"ref": "kumareshd/r-version-try", "kernel_id": "64130"}, {"ref": "kumareshd/nothing-else-to-do", "kernel_id": "62629"}, {"ref": "sebyml/notebook-a223d58daca3b42f8db2", "kernel_id": "70971"}, {"ref": "ppinoli/notebook-af155f412b912b202d38", "kernel_id": "62563"}, {"ref": "ppinoli/notebook-21f22f435a457338b342", "kernel_id": "62558"}, {"ref": "ppinoli/script-fb-test", "kernel_id": "62551"}, {"ref": "ppinoli/notebook-de41e0d462498574c366", "kernel_id": "62578"}, {"ref": "ppinoli/notebook-335768c5e25ccda28401", "kernel_id": "62568"}, {"ref": "ppinoli/notebook-a860d27c9c5bc0dd4b79", "kernel_id": "63699"}, {"ref": "ppinoli/notebook-f42048ffee0ec044648c", "kernel_id": "63246"}, {"ref": "ppinoli/notebook-513dfafb2a239a8ddcc0", "kernel_id": "63157"}, {"ref": "anirbanlahiri/notebook-572927a08ce5186fb022", "kernel_id": "64560"}, {"ref": "limowankenobi/facebook1", "kernel_id": "64437"}, {"ref": "limowankenobi/notebook-3c0eb478e7c5edf47aa4", "kernel_id": "64447"}, {"ref": "titericz/notebook-f250c215213dc9773e1a", "kernel_id": "73121"}, {"ref": "preeth/notebook-513ffb5fbe77efb1bda2", "kernel_id": "70596"}, {"ref": "gongzhitaao/notebook-b498727f6b0cd1f1e959", "kernel_id": "62866"}, {"ref": "valadi/mad-scripts-battle-z", "kernel_id": "74624"}, {"ref": "valadi/modified-grid-knn-new", "kernel_id": "75246"}, {"ref": "valadi/script-competition-facebook-v-2-1-1", "kernel_id": "75432"}, {"ref": "valadi/modified-grid-knn-1-2", "kernel_id": "76202"}, {"ref": "valadi/modified-grid-knn-1-1", "kernel_id": "75857"}, {"ref": "valadi/modified-grid-knn-change", "kernel_id": "75775"}, {"ref": "saikumararava/random-forest-and-knn-on-a-few-blocks", "kernel_id": "72565"}, {"ref": "saikumararava/notebook-c78b6ab9b4e1ca0e7b15", "kernel_id": "73528"}, {"ref": "vykhand/notebook-5709ab162b2123e8604f", "kernel_id": "70591"}, {"ref": "mohamedali/exploring", "kernel_id": "64771"}, {"ref": "mohamedali/notebook-a1a17bbc2910eaf3ba62", "kernel_id": "65180"}, {"ref": "mohamedali/notebook-e634320ff97d34cd6755", "kernel_id": "65196"}, {"ref": "svpons/grid-knn", "kernel_id": "69488"}, {"ref": "svpons/grid-plus-classifier", "kernel_id": "67603"}, {"ref": "anbarasan/notebook-18705dedb4905e032032", "kernel_id": "62787"}, {"ref": "kunwpark/diving-into-the-data", "kernel_id": "64260"}, {"ref": "iltish/notebook-af8f997041a7aca5f020", "kernel_id": "73678"}, {"ref": "sarvajith/facebook-entry-1", "kernel_id": "67523"}, {"ref": "chu1990/notebook-fc48b3703c1ce309ab61", "kernel_id": "72016"}, {"ref": "smaran/feature-relevance", "kernel_id": "68577"}, {"ref": "henryzlo/notebook-36649d000904898c5478", "kernel_id": "64738"}, {"ref": "yungong/notebook-8bf90dd7fc4f06f39df7", "kernel_id": "67950"}, {"ref": "harshsaini/notebook-3eb82eb1fde53cfdf347", "kernel_id": "63106"}, {"ref": "harshsaini/notebook-710035c9ef3d3544cf60", "kernel_id": "63107"}, {"ref": "bakakaka/notebook-de9a2f0628a14466210f", "kernel_id": "69234"}, {"ref": "bakakaka/notebook-eed1fa4f46db4b47841f", "kernel_id": "69243"}, {"ref": "guppsy/knn-accelerated-v3", "kernel_id": "75926"}, {"ref": "company/facebook-pci", "kernel_id": "62888"}, {"ref": "luyanw/fb-check-ins", "kernel_id": "66465"}, {"ref": "nordsvich/timestamp-structure", "kernel_id": "75288"}, {"ref": "nordsvich/data-exploration-and-visualisations", "kernel_id": "75304"}, {"ref": "nordsvich/notebook-f5f13286e35b63d14dfa", "kernel_id": "75305"}, {"ref": "gopijey/exploratory-data-analysis", "kernel_id": "62321"}, {"ref": "sbykau/1-nn-benchmark", "kernel_id": "62611"}, {"ref": "pietromarinelli/script-competition-facebook-vi", "kernel_id": "74115"}, {"ref": "ruktech/mad-script-battle-in-pandas", "kernel_id": "66629"}, {"ref": "ruktech/notebook-a8a70863ac017949eafc", "kernel_id": "66627"}, {"ref": "ruktech/notebook-11095518085ce44c91f2", "kernel_id": "62170"}, {"ref": "ruktech/notebook-be1a9a5b3788df5f659f", "kernel_id": "62174"}, {"ref": "ruktech/notebook-337d408572b1aeb326aa", "kernel_id": "65071"}, {"ref": "analitiq/facebook-checkins", "kernel_id": "62673"}, {"ref": "analitiq/notebook-0b1a1a6b98dbd6acee05", "kernel_id": "62671"}, {"ref": "seenhzj/notebook-b77cfcc0d15c711266de", "kernel_id": "74145"}, {"ref": "philipxx/notebook-b1d7ee3bfea46fbd35a5", "kernel_id": "63309"}, {"ref": "sundong/test-sdk", "kernel_id": "74587"}, {"ref": "sundong/notebook-17da0498a1ba82e64e49", "kernel_id": "74590"}, {"ref": "sundong/notebook-864b6847c854ab18a3a0", "kernel_id": "74591"}, {"ref": "sundong/notebook-c8b1326b538dbed1a50a", "kernel_id": "74592"}, {"ref": "sundong/notebook-1f594bdd0f7e19498f62", "kernel_id": "74593"}, {"ref": "sundong/notebook-2e7016aa364fb171a30b", "kernel_id": "74594"}, {"ref": "flyingmeatball/fbcode", "kernel_id": "62653"}, {"ref": "citynight/notebook-8e1e70dd8bc8764936c4", "kernel_id": "80338"}, {"ref": "citynight/notebook-ec24fae14518a71a8333", "kernel_id": "80340"}, {"ref": "citynight/notebook-2980ad63b2115f0a0598", "kernel_id": "80341"}, {"ref": "citynight/notebook-d948ec948500d3f48939", "kernel_id": "80357"}, {"ref": "citynight/validaing-seasonality-using-autocorrelat", "kernel_id": "80358"}, {"ref": "citynight/notebook-3c0e33b1f51df2e991a7", "kernel_id": "73467"}, {"ref": "citynight/notebook-6b067aaf97e715965b7d", "kernel_id": "78824"}, {"ref": "valeriur/python-started-using-knn-classifier", "kernel_id": "70221"}, {"ref": "valeriur/python-starter-0-55", "kernel_id": "66690"}, {"ref": "valeriur/notebook-4d834af373d6f322b8a8", "kernel_id": "66693"}, {"ref": "valeriur/randomforest-x3", "kernel_id": "66719"}, {"ref": "valeriur/process-grid-in-parallel", "kernel_id": "74297"}, {"ref": "dieepbapat/starting-a-test-for-testing-the-test", "kernel_id": "75986"}, {"ref": "moenuddin/notebook-a4172f76d64002e0f9d2", "kernel_id": "73993"}, {"ref": "datenkieker/notebook-cd136313ca46646d09fe", "kernel_id": "62310"}, {"ref": "datenkieker/notebook-8862df7aa60a2d19c74b", "kernel_id": "62311"}, {"ref": "datenkieker/grid-knn-7", "kernel_id": "71984"}, {"ref": "datenkieker/modified-grid-knn-17", "kernel_id": "74973"}, {"ref": "datadave/r-try-to-add-hour-rating", "kernel_id": "67941"}, {"ref": "datadave/modified-grid-knn-sans-month-year", "kernel_id": "73968"}, {"ref": "datadave/notebook-e0bfd412593cc0121650", "kernel_id": "73761"}, {"ref": "datadave/notebook-8201204ac548f28fd039", "kernel_id": "73157"}, {"ref": "mkohram/notebook-4959c5158ae1913e1752", "kernel_id": "68852"}, {"ref": "bdilday/timestamp-structure", "kernel_id": "69138"}, {"ref": "gkvignesh/notebook279bd35e5b", "kernel_id": "97958"}, {"ref": "zeroblue/mad-scripts-battle", "kernel_id": "73140"}, {"ref": "zeroblue/test-import", "kernel_id": "73294"}, {"ref": "zeroblue/testing-knn", "kernel_id": "73944"}, {"ref": "zeroblue/mad-scripts-battle-z", "kernel_id": "74441"}, {"ref": "zeroblue/fastest-way-to-write-the-csv", "kernel_id": "74377"}, {"ref": "zeroblue/better", "kernel_id": "76025"}, {"ref": "zeroblue/notebook-2dc11212e670900eda02", "kernel_id": "76026"}, {"ref": "zeroblue/knn-feature-weight-finder", "kernel_id": "76027"}, {"ref": "zeroblue/grid-gaussiannb", "kernel_id": "76379"}, {"ref": "zeroblue/grid-gaussiannb-testing-weights", "kernel_id": "76385"}, {"ref": "zeroblue/notebook-d0e2bd76c20810264a44", "kernel_id": "75581"}, {"ref": "zeroblue/modified-grid-knn-17-z", "kernel_id": "75002"}, {"ref": "zeroblue/knn-accelerated-v3", "kernel_id": "75403"}, {"ref": "zeroblue/modified-grid-knn-17-alex2", "kernel_id": "75148"}, {"ref": "zeroblue/modified-grid-knn-17-alex", "kernel_id": "75135"}, {"ref": "justdoit/thetime", "kernel_id": "66187"}, {"ref": "justdoit/msb-with-validation-v2-0", "kernel_id": "63722"}, {"ref": "justdoit/first-glimpse-of-data", "kernel_id": "62997"}, {"ref": "justdoit/notebook-0d0655ff3ee6dfecf532", "kernel_id": "62998"}, {"ref": "justdoit/notebook-096c457ad4e8037f4ce3", "kernel_id": "63001"}, {"ref": "wenbochang/initial", "kernel_id": "69032"}, {"ref": "blindfish/notebook-2ae303384eee7b85f2d2", "kernel_id": "73530"}, {"ref": "bilnash/notebook-1546a96a1bcc23247aba", "kernel_id": "62849"}, {"ref": "bilnash/notebook-5d7f17bc471d13144a84", "kernel_id": "62448"}, {"ref": "manuskc/data-analysis", "kernel_id": "62375"}, {"ref": "manuskc/data-analysis-2", "kernel_id": "62376"}, {"ref": "wlouie/notebook-27813f1db0829bd20a63", "kernel_id": "73429"}, {"ref": "jhanni/trying-out-script", "kernel_id": "62439"}, {"ref": "nnaman/random-forest-and-knn-on-a-few-blocks", "kernel_id": "76558"}, {"ref": "wangshu/notebook-b810c74b2f186bf3f1a4", "kernel_id": "65866"}, {"ref": "sbairishal/test2-fb", "kernel_id": "63377"}, {"ref": "pandevirus/grid-plus-classifier-pan", "kernel_id": "71986"}, {"ref": "pandevirus/test-23", "kernel_id": "71167"}, {"ref": "pandevirus/notebook-9b9775b67215c28fa5fd", "kernel_id": "71061"}, {"ref": "pandevirus/grid-plus-classifier", "kernel_id": "71062"}, {"ref": "gguliash/mad-scripts-battle-v1-1-p", "kernel_id": "62912"}, {"ref": "klxnpl/notebook-8c922d985f2bbec8cc3e", "kernel_id": "62145"}, {"ref": "dfletcher/notebook-2e3f788311623519b0f3", "kernel_id": "73397"}, {"ref": "dfletcher/testfacebook", "kernel_id": "73400"}, {"ref": "dfletcher/random-forest-and-knn-on-a-few-blocks", "kernel_id": "73404"}, {"ref": "tamoghnaroy/grid-knn", "kernel_id": "74425"}, {"ref": "freezing/notebook-c78e94920e1e7c7d6299", "kernel_id": "64108"}, {"ref": "owobeid/notebook-151ed424f8796d2a0a9a", "kernel_id": "68747"}, {"ref": "armo1968/notebook-04584f15174022a822d6", "kernel_id": "67893"}, {"ref": "armo1968/notebook-bd376f04f0b5f3aadc41", "kernel_id": "65722"}, {"ref": "malice/data-analysis", "kernel_id": "68300"}, {"ref": "jingweishen/fb-eda", "kernel_id": "66692"}, {"ref": "phoenixl/timestamp-structure", "kernel_id": "75228"}, {"ref": "wangbo/notebook8ccda5926b", "kernel_id": "91411"}, {"ref": "badend/quick-look-at-the-datat", "kernel_id": "62398"}, {"ref": "badend/notebook-7d2f0e056b3cdd843714", "kernel_id": "62400"}, {"ref": "jinseokhyun/notebook-50da37a4c8488987a2f9", "kernel_id": "68693"}, {"ref": "zhuming0828/test1", "kernel_id": "62146"}, {"ref": "shriramkumar/notebook-087e3b04d3bd9b0aa77c", "kernel_id": "75885"}, {"ref": "aychies/notebook-7439c68a59006bf2e5b0", "kernel_id": "74453"}, {"ref": "aychies/knn-trial", "kernel_id": "74454"}, {"ref": "maidou/notebook-d61a5e4d483cab6fb058", "kernel_id": "71304"}, {"ref": "maidou/notebook-20476dfdb712c31519f4", "kernel_id": "72057"}, {"ref": "maidou/check-in", "kernel_id": "72058"}, {"ref": "maidou/notebook-3015263202b69c4087b9", "kernel_id": "72144"}, {"ref": "maidou/notebook-9b61a713fdd7405bcc1c", "kernel_id": "72145"}, {"ref": "maidou/notebook-8e0d806554654090f287", "kernel_id": "72148"}, {"ref": "maidou/notebook-035a02a77dba38a8c810", "kernel_id": "70746"}, {"ref": "maidou/notebook-63234e123bc1c1fabe2f", "kernel_id": "70805"}, {"ref": "maidou/another-way-to-know-the-time-definition", "kernel_id": "70602"}, {"ref": "maidou/notebook-d3db6c1a64d8c66f74a8", "kernel_id": "70605"}, {"ref": "maidou/ftt-analysis", "kernel_id": "70607"}, {"ref": "davida/notebook-b6c17f69c6f362a25bd0", "kernel_id": "62406"}, {"ref": "mathandbikes/notebook-26673e990074b1240f98", "kernel_id": "68665"}, {"ref": "condereis/notebook-9ec55d57a02abfa3f167", "kernel_id": "71566"}, {"ref": "condereis/notebook-92d3bd41e16e32c35986", "kernel_id": "71557"}, {"ref": "condereis/notebook-26d4e22fa1e93b3d4f80", "kernel_id": "71559"}, {"ref": "condereis/notebook-f3c889c7f87758d5a5e0", "kernel_id": "71540"}, {"ref": "condereis/notebook-33c892d20436ff5429b9", "kernel_id": "71543"}, {"ref": "condereis/notebook-0d69e81d8fe25c29b50a", "kernel_id": "71544"}, {"ref": "condereis/notebook-a9c8cf92f5aabc3e998d", "kernel_id": "71548"}, {"ref": "condereis/exploratory-data-analysis", "kernel_id": "71535"}, {"ref": "condereis/notebook-b67e613c74b4426bd882", "kernel_id": "71676"}, {"ref": "condereis/notebook-060f5582df0e066146ff", "kernel_id": "71704"}, {"ref": "condereis/notebook-d0d53f5a362d5003c8c5", "kernel_id": "78257"}, {"ref": "jjhuang/facebook-v-script", "kernel_id": "63565"}, {"ref": "jjhuang/facebook-v", "kernel_id": "63563"}, {"ref": "rakhlin/notebook-5f8eea067be44643e8a2", "kernel_id": "67394"}, {"ref": "rakhlin/ultra-fast-grid-knn-model", "kernel_id": "75366"}, {"ref": "umairahmedkhan92/notebook-d9e1eafabc904a3500eb", "kernel_id": "71097"}, {"ref": "eliiee/prediction", "kernel_id": "62344"}, {"ref": "sadz2201/click-submit-repeat", "kernel_id": "73573"}, {"ref": "gopalsharma2001/first-try", "kernel_id": "73595"}, {"ref": "gopalsharma2001/inspired-script", "kernel_id": "74815"}, {"ref": "vagrawal/notebook-99f884df817b416a5422", "kernel_id": "64967"}, {"ref": "vagrawal/notebook-c2889a31e81da317ac7a", "kernel_id": "64962"}, {"ref": "vagrawal/notebook-a285655e33eaa6779b09", "kernel_id": "65022"}, {"ref": "vagrawal/notebook-24d99fb63a920bb7df58", "kernel_id": "65186"}, {"ref": "vagrawal/notebook-d7a08b51f2aff455c1f5", "kernel_id": "65170"}, {"ref": "vagrawal/notebook-bbb8319a595e606ce739", "kernel_id": "65171"}, {"ref": "vagrawal/notebook-7ae0f1e7a6f1ac68e436", "kernel_id": "65172"}, {"ref": "vagrawal/notebook-de28cd9bb663ee3ca1f3", "kernel_id": "65167"}, {"ref": "vagrawal/notebook-cc8c3ec51edfd60bec39", "kernel_id": "65047"}, {"ref": "vagrawal/notebook-32c8035649643b9dd941", "kernel_id": "65048"}, {"ref": "vagrawal/notebook-d74a8c332280a34e0f91", "kernel_id": "65043"}, {"ref": "vagrawal/data-analysis", "kernel_id": "65045"}, {"ref": "vagrawal/notebook-c59de2008cecfb6b1cd5", "kernel_id": "65684"}, {"ref": "vagrawal/notebook-1d7cf9d56e4c92504733", "kernel_id": "70072"}, {"ref": "vagrawal/notebook-8c7713cf54944161fc0f", "kernel_id": "70070"}, {"ref": "vagrawal/notebook-9fb63fe2f07c3e2328e4", "kernel_id": "70091"}, {"ref": "vagrawal/notebook-5b1752b1e0ab0ef2bfb6", "kernel_id": "69904"}, {"ref": "vagrawal/notebook-7040a66aee0b8360c601", "kernel_id": "73071"}, {"ref": "drarfc/grid-knn", "kernel_id": "71356"}, {"ref": "drarfc/grid-knn-add-accuracy", "kernel_id": "72100"}, {"ref": "drarfc/script-competition-facebook-v", "kernel_id": "72374"}, {"ref": "drarfc/fastest-way-to-write-the-csv", "kernel_id": "73883"}, {"ref": "drarfc/script-competition-facebook-v-2-1", "kernel_id": "74569"}, {"ref": "drarfc/modified-grid-knn-17-z", "kernel_id": "75081"}, {"ref": "drarfc/knn-accelerated-v3", "kernel_id": "75916"}, {"ref": "radarthreat/notebook-e4ce0d1821bf873f4315", "kernel_id": "67341"}, {"ref": "kasardheeraj/data-exploration-and-visualisations", "kernel_id": "73079"}, {"ref": "betterplace/timestamp-structure", "kernel_id": "72596"}, {"ref": "betterplace/notebook-6d156ddfa1d22152519b", "kernel_id": "73629"}, {"ref": "betterplace/gridwise-open-boundary", "kernel_id": "73374"}, {"ref": "betterplace/notebook-9b3ede7e40863cfdf5ad", "kernel_id": "74100"}, {"ref": "betterplace/notebook-64a0d5ffc1685be33619", "kernel_id": "75778"}, {"ref": "betterplace/notebook-4873b8052a96051f4b56", "kernel_id": "75779"}, {"ref": "betterplace/notebook-7b059b9c43b1524b11ad", "kernel_id": "75780"}, {"ref": "betterplace/notebook-3649ca9cfd12552750c0", "kernel_id": "75781"}, {"ref": "betterplace/notebook-3596ed114a494761a674", "kernel_id": "78100"}, {"ref": "bryanyang/notebook-f1343971c951097216a4", "kernel_id": "70317"}, {"ref": "markbaum/notebook-253ae4b25ab7423d5bed", "kernel_id": "66834"}, {"ref": "markbaum/notebook-a6a1b4adbb3555dd37e6", "kernel_id": "66835"}, {"ref": "sulgik/timestamp", "kernel_id": "69344"}, {"ref": "sulgik/notebook-4858f040abfa52f339f0", "kernel_id": "69096"}, {"ref": "sulgik/notebook-2ca4cd7de0c0b25d18d0", "kernel_id": "69179"}, {"ref": "sulgik/sulgi-eda", "kernel_id": "69180"}, {"ref": "terrylaw/random-forest-on-a-few-blocks", "kernel_id": "67169"}, {"ref": "potterxu/notebook-a9a367998234d49d5a40", "kernel_id": "69177"}, {"ref": "potterxu/1-timestamp-1-minute", "kernel_id": "64584"}, {"ref": "ntzortzis/notebook-320b861eb4c211c84ae9", "kernel_id": "64555"}, {"ref": "ntzortzis/temp3", "kernel_id": "64556"}, {"ref": "ntzortzis/temp2", "kernel_id": "62793"}, {"ref": "shahins/notebook-415b0e0904bf25a0b134", "kernel_id": "65319"}, {"ref": "nilotpal/modified-grid-knn-change2", "kernel_id": "75810"}, {"ref": "nilotpal/script-competition-cacebook-v-2-1", "kernel_id": "75422"}, {"ref": "nilotpal/modified-grid-knn", "kernel_id": "74963"}, {"ref": "rsakata/3rd-place-solution-simple-version", "kernel_id": "76829"}, {"ref": "lishubin/notebook-f69149a436e0f30553c1", "kernel_id": "73186"}, {"ref": "tejasshinde/notebook-d1f4405a32b9eb8d85f4", "kernel_id": "71048"}, {"ref": "aikinogard/playground", "kernel_id": "63068"}, {"ref": "aikinogard/grid-nb", "kernel_id": "74372"}, {"ref": "mohitkhatri88/grid-knn-acc", "kernel_id": "74394"}, {"ref": "yamaherff/quick-look-at-the-data", "kernel_id": "62696"}, {"ref": "ramanand/fbquest", "kernel_id": "73779"}, {"ref": "ramanand/notebook-23d3816c0cd55537ac8c", "kernel_id": "73792"}, {"ref": "pappukrjha/latlon-range-by-place-ids", "kernel_id": "66225"}, {"ref": "pappukrjha/understanding-data", "kernel_id": "65717"}, {"ref": "abanishmishra/notebook-3068eb2eff85cb8b579c", "kernel_id": "71302"}, {"ref": "abanishmishra/notebook-bd20a293081e580ed27a", "kernel_id": "71303"}, {"ref": "threecifanggen/an-overlook-using-bokeh", "kernel_id": "63591"}, {"ref": "threecifanggen/notebook-57f767f625b0d9b35999", "kernel_id": "63608"}, {"ref": "threecifanggen/notebook-1a9a2de87f24218ec291", "kernel_id": "63612"}, {"ref": "id1248/notebook-62c2bcfdead567c2ba8a", "kernel_id": "65384"}, {"ref": "psaadbye/exploratory-data-analysis", "kernel_id": "67077"}, {"ref": "umenon/notebook-54e56ee56ca36093c056", "kernel_id": "63221"}, {"ref": "umenon/umtest", "kernel_id": "63222"}, {"ref": "umenon/umtest2", "kernel_id": "63226"}, {"ref": "umenon/another-way-to-know-the-time-definition", "kernel_id": "63205"}, {"ref": "umenon/notebook-5f555bb7750bdbbd5cbd", "kernel_id": "63206"}, {"ref": "umenon/notebook-5a55c61431289a0c70ef", "kernel_id": "63207"}, {"ref": "ankitmalik/code-1", "kernel_id": "63678"}, {"ref": "gauravgupta/notebook-66602e0eab377c1ac9c9", "kernel_id": "72305"}, {"ref": "gauravgupta/notebook-db843be69c559abf152a", "kernel_id": "71920"}, {"ref": "gauravgupta/data-exploration-and-visualisations", "kernel_id": "71921"}, {"ref": "pinocchio/gaussianmixturemodel", "kernel_id": "76090"}, {"ref": "pinocchio/grid-gaussiannb", "kernel_id": "74538"}, {"ref": "pinocchio/notebook-458fe2c1a593db7390f6", "kernel_id": "71422"}, {"ref": "pinocchio/theaccuracy", "kernel_id": "72146"}, {"ref": "pinocchio/notebook-ee7bd5b20ae9c459396b", "kernel_id": "70391"}, {"ref": "pinocchio/model-00", "kernel_id": "66029"}, {"ref": "pinocchio/openboundary", "kernel_id": "65668"}, {"ref": "pinocchio/notebook-1a4a8fe21328d9c4d9b7", "kernel_id": "65185"}, {"ref": "pinocchio/thespace", "kernel_id": "64027"}, {"ref": "pinocchio/notebook-ba40cc6fc5adc042c0da", "kernel_id": "64156"}, {"ref": "pinocchio/finding-the-limits", "kernel_id": "63398"}, {"ref": "pinocchio/notebook-562713ad414ccde780de", "kernel_id": "63400"}, {"ref": "pinocchio/notebook-637a665ae422db0f8708", "kernel_id": "63401"}, {"ref": "sivajid/notebook-205dc117b0ca0d6c2cf1", "kernel_id": "68299"}, {"ref": "sivajid/notebook-358a9066f3befd7dd69d", "kernel_id": "68304"}, {"ref": "sivajid/notebook-74229b04003478ecfb07", "kernel_id": "68305"}, {"ref": "sivajid/notebook-6779448204a7d66238cb", "kernel_id": "67635"}, {"ref": "sivajid/notebook-f4889af172221be7d0fa", "kernel_id": "67610"}, {"ref": "sivajid/notebook-53fe74a594b266a3c9f3", "kernel_id": "67630"}, {"ref": "sivajid/notebook-0b1e6eb7c3ee8edb28f7", "kernel_id": "67616"}, {"ref": "sivajid/notebook-7a112621026c05c2028f", "kernel_id": "67619"}, {"ref": "sivajid/notebook-676cf4ce342386ba8977", "kernel_id": "67620"}, {"ref": "cruncharlie/notebook-501c22a93d4cd445dfe5", "kernel_id": "62236"}, {"ref": "cruncharlie/notebook-2b0636393e0acf57bec7", "kernel_id": "62237"}, {"ref": "tlehman/voronoi-diagrams-of-place-locations", "kernel_id": "64839"}, {"ref": "tlehman/notebook-6b7c6407ea8e8e0f3d12", "kernel_id": "63033"}, {"ref": "tlehman/notebook-c399004b26174f268c96", "kernel_id": "63029"}, {"ref": "tlehman/centroids-of-places-in-fb-check-in-data", "kernel_id": "63038"}, {"ref": "tlehman/notebook-487f8d91d3a1bb5483c3", "kernel_id": "63039"}, {"ref": "tlehman/notebook-b4db146d9f81aabf48d3", "kernel_id": "63040"}, {"ref": "tlehman/notebook-3ea72d6bb1818c2297cc", "kernel_id": "63041"}, {"ref": "tlehman/visualize-number-of-check-ins-over-time", "kernel_id": "62201"}, {"ref": "tlehman/count-distinct-place-ids", "kernel_id": "62163"}, {"ref": "wydzilla/hello-everyone", "kernel_id": "62154"}, {"ref": "huangqi/notebook-ad072ebe0f02fdb4207f", "kernel_id": "67622"}, {"ref": "yuqingxue/michael-griffiths-eda-1", "kernel_id": "71423"}, {"ref": "yuqingxue/notebook-547475fff3bbc50ec33c", "kernel_id": "71426"}, {"ref": "floriang/notebook-643a9d82ed2122b7c454", "kernel_id": "62173"}, {"ref": "jackdaw/notebook-80f8f719a22a4fdbcffc", "kernel_id": "66830"}, {"ref": "jackdaw/checkins", "kernel_id": "66826"}, {"ref": "namra42/accuracy-vs-distance-running", "kernel_id": "65222"}, {"ref": "namra42/notebook-efb4456d588780bb074d", "kernel_id": "65216"}, {"ref": "namra42/notebook-c8a1fdd740d3a7dcbacc", "kernel_id": "65214"}, {"ref": "namra42/notebook-273f2932ba10b8d694b9", "kernel_id": "63605"}, {"ref": "namra42/accuracy-exploration", "kernel_id": "63567"}, {"ref": "namra42/notebook-e1e57086d8d1ab162539", "kernel_id": "68530"}, {"ref": "namra42/gridwise-open-boundary", "kernel_id": "68523"}, {"ref": "namra42/openboundary", "kernel_id": "68504"}, {"ref": "poiss0nriot/notebook-c8e2223c759d49c6a80f", "kernel_id": "75106"}, {"ref": "prakashpvss/testscript", "kernel_id": "65859"}, {"ref": "etherqua/notebook-d1527e20bdeda56cd757", "kernel_id": "72704"}, {"ref": "etherqua/notebook-a9e87c77330896b38c19", "kernel_id": "74694"}, {"ref": "etherqua/mad-scripts-battle-z", "kernel_id": "74666"}, {"ref": "etherqua/notebook-26590db2470d9942fdd2", "kernel_id": "73718"}, {"ref": "etherqua/cross-validation", "kernel_id": "73719"}, {"ref": "jgyawali/version1", "kernel_id": "65525"}, {"ref": "jgyawali/notebook-63638f94d886f218291e", "kernel_id": "62252"}, {"ref": "goodlife/myfirst", "kernel_id": "76340"}, {"ref": "sandeepnaidu/notebook-acf3a069be596aa64c3f", "kernel_id": "68031"}, {"ref": "sayanmaity/notebook-f956e10cfbd5171d593f", "kernel_id": "62215"}, {"ref": "anwarahmed/notebook-a6be6d0629ad31509298", "kernel_id": "77045"}, {"ref": "masaaldosai/notebook-faed6be86d1ae44208de", "kernel_id": "66997"}, {"ref": "masaaldosai/eval-models", "kernel_id": "66998"}, {"ref": "tuevo21/example-py", "kernel_id": "65794"}, {"ref": "tuevo21/notebook-c1ea5468813651c10292", "kernel_id": "65783"}, {"ref": "alexeybubuka/alec-on-time", "kernel_id": "62892"}, {"ref": "alexeybubuka/time-series", "kernel_id": "62889"}, {"ref": "alexeybubuka/notebook-25e34117e1ebfd504181", "kernel_id": "62902"}, {"ref": "alexeybubuka/notebook-08604ae601a74f24340f", "kernel_id": "62782"}, {"ref": "alexeybubuka/notebook-2228f1a62b8d3f7b26f5", "kernel_id": "62784"}, {"ref": "alexeybubuka/notebook-c290df1396c9e75c5613", "kernel_id": "75099"}, {"ref": "mukund14/fb-check-in-data-exploration", "kernel_id": "62666"}, {"ref": "takwat/notebook-06b474f1a283af23e599", "kernel_id": "63859"}, {"ref": "vivek2589/notebook-3c9af8aa949907bdbfa3", "kernel_id": "62867"}, {"ref": "greenmtn/notebook-7fcbdfc48936731192f0", "kernel_id": "75423"}, {"ref": "sweetsyrup/notebook1f46597be5", "kernel_id": "89739"}, {"ref": "sweetsyrup/notebook2a29d97296", "kernel_id": "90704"}, {"ref": "raminia/notebook-569a77cbca2d1508c13f", "kernel_id": "65911"}, {"ref": "raguram/notebook-0c345c02f6e69cfae1cb", "kernel_id": "64365"}, {"ref": "raguram/data-exploration-and-visualisations", "kernel_id": "64358"}, {"ref": "raguram/notebook-5323add289f7e805d367", "kernel_id": "64359"}, {"ref": "raguram/notebook-cf7b91b15f0125ea0d9a", "kernel_id": "64360"}, {"ref": "raguram/notebook-c1b88b70429939d411bb", "kernel_id": "64361"}, {"ref": "ddrbcn/k-nearest-neighbor", "kernel_id": "73926"}, {"ref": "yanjiang/temp1", "kernel_id": "75358"}, {"ref": "yanjiang/notebook-80c4186b4e0054acac87", "kernel_id": "75361"}, {"ref": "yanjiang/notebook-bc83bf2e4e8fdb8d1f84", "kernel_id": "75154"}, {"ref": "coolrulz/notebook-6ec98c2c86773c12eb05", "kernel_id": "75150"}, {"ref": "coolrulz/notebook-da0745cefd63c8c2e143", "kernel_id": "75527"}, {"ref": "nilavghosh/notebook-6a69224482a08686e31c", "kernel_id": "69593"}, {"ref": "nilavghosh/quick-look-at-the-data", "kernel_id": "69595"}, {"ref": "vhatobefat/notebook-39cae50a4c022b8649d4", "kernel_id": "64032"}, {"ref": "tuehvo/example-py", "kernel_id": "65804"}, {"ref": "effywang/notebook-6cfe3558669878f36d43", "kernel_id": "74418"}, {"ref": "shahabmokarizadeh/notebook84e55f88ee", "kernel_id": "204619"}, {"ref": "abiirokzz/pci-2", "kernel_id": "74518"}, {"ref": "abiirokzz/facebook-pci", "kernel_id": "73271"}, {"ref": "rplaca/wasting-time-on-kaggle", "kernel_id": "63262"}, {"ref": "yasaswik/notebook-33ab09d53101ad54d202", "kernel_id": "75374"}, {"ref": "bra2ed/explore", "kernel_id": "66898"}, {"ref": "purblue/notebook-1a442db489e25b345e3c", "kernel_id": "62974"}, {"ref": "purblue/first-glimpse-of-data", "kernel_id": "62975"}, {"ref": "purblue/notebook-04f0b230d0dbf0b7c5bb", "kernel_id": "62968"}, {"ref": "purblue/notebook-c4e200aa95ca25991c2c", "kernel_id": "62992"}, {"ref": "purblue/notebook-670c82849eafdf1b8bf7", "kernel_id": "62993"}, {"ref": "purblue/test-script", "kernel_id": "62567"}, {"ref": "purblue/notebook-6fc8138a9a22540a5919", "kernel_id": "62561"}, {"ref": "purblue/notebook-c917543d88184db216ba", "kernel_id": "62562"}, {"ref": "chennnn/notebook-bd2d41c2c55bb980029c", "kernel_id": "71547"}, {"ref": "chennnn/notebook-38f796b01fa131a7fb24", "kernel_id": "72992"}, {"ref": "ethannguyen/facebook-competition", "kernel_id": "70470"}, {"ref": "ayush1705/notebook-6af0f2f47ebfbc133d56", "kernel_id": "73251"}, {"ref": "ayush1705/notebook-9155f16b0486747f2960", "kernel_id": "73238"}, {"ref": "zhenjuan/notebook-f40b84a51e786aeba3ab", "kernel_id": "66829"}, {"ref": "zhenjuan/data-exploration-and-visualization", "kernel_id": "66823"}, {"ref": "zhenjuan/notebook-09acee5dac6c97728334", "kernel_id": "66700"}, {"ref": "zhenjuan/notebook-f0f5ae663a80590b138d", "kernel_id": "71587"}, {"ref": "zhenjuan/notebook-5531d34e40771bc9cea8", "kernel_id": "71589"}, {"ref": "zhenjuan/notebook-33c34849ea5ff2e9ba39", "kernel_id": "71591"}, {"ref": "zhenjuan/grid-knn", "kernel_id": "71797"}, {"ref": "zhenjuan/grid-knn-different-k-value", "kernel_id": "72014"}, {"ref": "picarus/notebook-a7631b30ea84bc70aed9", "kernel_id": "72296"}, {"ref": "picarus/notebook-83a9892a7a382ce35851", "kernel_id": "71157"}, {"ref": "picarus/visualize-across-different-variables", "kernel_id": "66275"}, {"ref": "devendramittal/notebook-bcb3ffc13c73ad123d28", "kernel_id": "63224"}, {"ref": "devendramittal/centroid-kdtree", "kernel_id": "63225"}, {"ref": "devendramittal/xgboost", "kernel_id": "73954"}, {"ref": "pk3663/notebook-716401db844d4d9b42e3", "kernel_id": "65518"}, {"ref": "lechiffre/most-popular-place", "kernel_id": "64449"}, {"ref": "lechiffre/mean-x-y-over-time-days", "kernel_id": "64446"}, {"ref": "lechiffre/random-forest-on-a-few-blocks", "kernel_id": "66006"}, {"ref": "sebgoring/notebook-5ca38960ea11208ae7d1", "kernel_id": "64887"}, {"ref": "hbq1ru/notebook-b743efcb98965a3b5629", "kernel_id": "73009"}, {"ref": "biswajeet/xgboost-cv-example-with-small-bug", "kernel_id": "74330"}, {"ref": "hulkbulk/mad-scripts-battle-v1-1", "kernel_id": "62774"}, {"ref": "elnazfathi/analyzing-the-time", "kernel_id": "69640"}, {"ref": "xuyuwei/notebook-e88c8f2a00429fffab3c", "kernel_id": "63601"}, {"ref": "praveenbabud/notebook-57cabc7d19d3576b092b", "kernel_id": "63448"}, {"ref": "marsanma/notebook-d6e6a2bd475f1b6c64b5", "kernel_id": "73326"}, {"ref": "gospursgo/modified-grid-knn-without-month-year", "kernel_id": "73740"}, {"ref": "zalefar/notebook-9f21bff1376735483219", "kernel_id": "62548"}, {"ref": "zalefar/notebook-958c6f86e2dc8f23fcd3", "kernel_id": "62233"}, {"ref": "zalefar/notebook-baf14c263303cc3b57c4", "kernel_id": "62234"}, {"ref": "sandeeppola/notebook-c783dfd509d03ac58099", "kernel_id": "75562"}, {"ref": "aerotuck/krachey1-r", "kernel_id": "62292"}, {"ref": "ivanfoong/explore", "kernel_id": "66013"}, {"ref": "ivanfoong/notebook-228bfba25e1c7326788d", "kernel_id": "66020"}, {"ref": "ivanfoong/notebook-34ff78628320fa441236", "kernel_id": "66199"}, {"ref": "ivanfoong/notebook-6087e1750adcd2e88fd8", "kernel_id": "66194"}, {"ref": "ivanfoong/notebook-4edaf83eeaf27da96d3a", "kernel_id": "66196"}, {"ref": "ivanfoong/notebook-4be7ba014d28b3685e03", "kernel_id": "66433"}, {"ref": "samyhhu/data-exploration-and-visualisations", "kernel_id": "68888"}, {"ref": "zhuhaow/some-guess", "kernel_id": "62839"}, {"ref": "zhuhaow/notebook-02e41d8a52f6bbf9d47e", "kernel_id": "62840"}, {"ref": "panosc/notebook-511e0dd8d23aebe950ac", "kernel_id": "73323"}, {"ref": "panosc/notebook-28a8a048b8706fb05bed", "kernel_id": "73357"}, {"ref": "forainychen/testing-script", "kernel_id": "62297"}, {"ref": "nisheeth/initial", "kernel_id": "65766"}, {"ref": "marx94/closestlog", "kernel_id": "63257"}, {"ref": "dreamastiy/data-exploration-and-visualisations", "kernel_id": "63498"}, {"ref": "mengyx/notebook-34a3e61c5ed5ca88f526", "kernel_id": "75852"}, {"ref": "radvin/modified-grid-knn", "kernel_id": "75235"}, {"ref": "sugh93/notebook-ebe60f082c9a4d6a6fdf", "kernel_id": "63136"}, {"ref": "sugh93/notebook-cc65a22049af5ed38170", "kernel_id": "63694"}, {"ref": "sugh93/notebook-d96e84d5ea11829de458", "kernel_id": "63689"}, {"ref": "sugh93/notebook-7135ac8f92aeb2819ec8", "kernel_id": "63690"}, {"ref": "sugh93/notebook-b35803192bfa7b11d2e6", "kernel_id": "63691"}, {"ref": "sugh93/analyzerscript", "kernel_id": "63692"}, {"ref": "sugh93/place1distribution", "kernel_id": "63739"}, {"ref": "sugh93/analyzingscript", "kernel_id": "63062"}, {"ref": "sokian/notebook-1f44c738e1a6c851f918", "kernel_id": "68532"}, {"ref": "sokian/notebook-22eaa4ca1dae957cf790", "kernel_id": "68537"}, {"ref": "sokian/test-io", "kernel_id": "68538"}, {"ref": "sokian/notebook-39549357c61f18ccd403", "kernel_id": "68539"}, {"ref": "sokian/experiment", "kernel_id": "68557"}, {"ref": "sokian/notebook-39f349ffdeb43d036fbd", "kernel_id": "68562"}, {"ref": "sokian/notebook-cfbb4412f4d4ccf5abbf", "kernel_id": "68563"}, {"ref": "carloshuertas/randomforest-x3", "kernel_id": "66716"}, {"ref": "xinhuih/notebook-19b639c4c11575df47fe", "kernel_id": "63496"}, {"ref": "xinhuih/notebook-4bed2ec939e456eb8bf4", "kernel_id": "63492"}, {"ref": "moyphilip/notebook-4806bd4fec18ddff90e6", "kernel_id": "62697"}, {"ref": "moyphilip/fb-script0", "kernel_id": "62698"}, {"ref": "alexcaron/data-exploration", "kernel_id": "73666"}, {"ref": "mfasih2/notebook-dfbfe968766a2ec091df", "kernel_id": "70199"}, {"ref": "mfasih2/notebook-4c86f54fdae40bdc9b5e", "kernel_id": "70200"}, {"ref": "mfasih2/notebook-ca75be67a289c31d6bc2", "kernel_id": "64802"}, {"ref": "mfasih2/notebook-9ba68d89da557086888a", "kernel_id": "64804"}, {"ref": "mfasih2/notebook-aaa4929b31422ffc7319", "kernel_id": "64806"}, {"ref": "mfasih2/notebook-7bba302f0825354d433f", "kernel_id": "64501"}, {"ref": "mfasih2/notebook-7015c4272500869b4ec7", "kernel_id": "64502"}, {"ref": "mfasih2/notebook-b8e52063f579360241a3", "kernel_id": "64503"}, {"ref": "mfasih2/notebook-61d8aeca58309a2f7d45", "kernel_id": "64809"}, {"ref": "ozgung/notebook-5d753b5c722555695d06", "kernel_id": "63102"}, {"ref": "ameicler/quick-look-at-the-data-test-extended", "kernel_id": "62838"}, {"ref": "ameicler/notebook-39e06e3956f97b88a77f", "kernel_id": "62843"}, {"ref": "ameicler/notebook-3e3fde4bda80c898ea87", "kernel_id": "62832"}, {"ref": "ameicler/notebook-868f600d7ec0501866d7", "kernel_id": "62833"}, {"ref": "ameicler/notebook-98dd9136e1af8989bf85", "kernel_id": "62834"}, {"ref": "ameicler/notebook-0c35d7ce1d2f1f88438d", "kernel_id": "64321"}, {"ref": "singkwan/notebook-2f1a3b779f9c1b52989f", "kernel_id": "70303"}, {"ref": "vtsing/fb-algorithm", "kernel_id": "68125"}, {"ref": "dev123/notebook-de08f2320cdf99392ef3", "kernel_id": "62186"}, {"ref": "dev123/notebook-8810c520ef1dd76b8826", "kernel_id": "62190"}, {"ref": "dev123/fb-run", "kernel_id": "62165"}, {"ref": "mayankgarg333/notebook-72ec5df068e95d112bcd", "kernel_id": "69070"}, {"ref": "justfor/grid-knn", "kernel_id": "75379"}, {"ref": "karthikuic/kar-fb", "kernel_id": "63283"}, {"ref": "karthikuic/tryfb", "kernel_id": "63286"}, {"ref": "karthikuic/kfb-test", "kernel_id": "63316"}, {"ref": "karthikuic/fb-time", "kernel_id": "63290"}, {"ref": "karthikuic/notebook-8f8ea543442fbefbc81a", "kernel_id": "62965"}, {"ref": "karthikuic/notebook-73774471054bbfaa0b70", "kernel_id": "62655"}, {"ref": "karthikuic/notebook-281f9d284c73b152e250", "kernel_id": "62667"}, {"ref": "karthikuic/notebook-071ce39948357185b1ae", "kernel_id": "62606"}, {"ref": "karthikuic/notebook-97d7d30b2c2470637d1f", "kernel_id": "62635"}, {"ref": "karthikuic/notebook-5dc6dce07ad431172557", "kernel_id": "62637"}, {"ref": "karthikuic/facebook-test", "kernel_id": "62566"}, {"ref": "karthikuic/facebook", "kernel_id": "62564"}, {"ref": "karthikuic/notebook-b4e570d69742d51c4949", "kernel_id": "62590"}, {"ref": "karthikuic/trial", "kernel_id": "62573"}, {"ref": "karthikuic/notebook-8a2bf4d653cf7422f682", "kernel_id": "66259"}, {"ref": "changly/notebook-867761890eba54507037", "kernel_id": "62338"}, {"ref": "wywgreat/notebook-9df8b9d5e40525ff82c0", "kernel_id": "73198"}, {"ref": "vikrambahl/notebook39919cefb9", "kernel_id": "86026"}, {"ref": "manons/random-forest-and-knn-on-a-few-blocks", "kernel_id": "262714"}, {"ref": "rmsgrk/notebook-7aec5fce1625c1f8997e", "kernel_id": "67120"}, {"ref": "amhchiu/notebook-26ba56d9e322f76da38c", "kernel_id": "74316"}, {"ref": "amhchiu/notebook-2c48b054a82971648ae4", "kernel_id": "74295"}, {"ref": "amhchiu/notebook-5fb57cdd8cb59911a8fb", "kernel_id": "74299"}, {"ref": "amhchiu/notebook-7cd183cfcf729ae76f95", "kernel_id": "74356"}, {"ref": "venkyb/notebook-3cded53d67d8223a7baa", "kernel_id": "67240"}, {"ref": "venkyb/notebook-95bb275c8927fed28406", "kernel_id": "67241"}, {"ref": "venkyb/test1", "kernel_id": "67244"}, {"ref": "karimouda/getting-started-with-r-0-323-lb", "kernel_id": "62842"}, {"ref": "karimouda/popular-places-approach", "kernel_id": "63293"}, {"ref": "karimouda/notebook-7cd2f289bd86b6fe5f60", "kernel_id": "63451"}, {"ref": "karimouda/modified-grid-knn-2", "kernel_id": "75879"}, {"ref": "karimouda/modified-grid-knn", "kernel_id": "74008"}, {"ref": "echamp/normxy-bint", "kernel_id": "69318"}, {"ref": "daisy12321/test-script-for-facebook-checkin-pred", "kernel_id": "67948"}, {"ref": "kethsazena/notebook-469b0edf0891a47853a0", "kernel_id": "65480"}, {"ref": "smertatli/tryit", "kernel_id": "62148"}, {"ref": "smertatli/notebook-61a9de7ebb020a6a6293", "kernel_id": "62137"}, {"ref": "johnsavageireland/notebook-ff7dda7206732294630d", "kernel_id": "63716"}, {"ref": "johnsavageireland/notebook-7e188290fff33e49cf24", "kernel_id": "63785"}, {"ref": "johnsavageireland/notebook-404c665f05effea738a9", "kernel_id": "63456"}, {"ref": "johnsavageireland/notebook-082554bb84ad05fd7324", "kernel_id": "63453"}, {"ref": "johnsavageireland/notebook-a1ed1cb925b1f7cf1c0d", "kernel_id": "63470"}, {"ref": "johnsavageireland/first-pass-analysis", "kernel_id": "63396"}, {"ref": "llbestmvp/notebook20b29b9c34", "kernel_id": "100743"}, {"ref": "llbestmvp/notebookc6626dc033", "kernel_id": "113722"}, {"ref": "llbestmvp/preprocess", "kernel_id": "111158"}, {"ref": "llbestmvp/testtesttest", "kernel_id": "111164"}, {"ref": "llbestmvp/notebook0a9b63a69b", "kernel_id": "110419"}, {"ref": "llbestmvp/testest", "kernel_id": "113000"}, {"ref": "llbestmvp/notebook854cb3bbff", "kernel_id": "127760"}, {"ref": "llbestmvp/notebook4df10ba779", "kernel_id": "127776"}, {"ref": "llbestmvp/notebook4bb211b594", "kernel_id": "125564"}, {"ref": "pershinmr/notebook-df73203805324f87b440", "kernel_id": "70814"}, {"ref": "yuebanguo/facebook-pci-origin", "kernel_id": "65764"}, {"ref": "julia0222/notebook-45a5889451d7b41856c0", "kernel_id": "74992"}, {"ref": "innerproduct/notebook-6cbd2f461541a1366762", "kernel_id": "64851"}, {"ref": "innerproduct/notebook-9a502c235dea16a4eee0", "kernel_id": "64852"}, {"ref": "innerproduct/msb-with-validation-v2-1", "kernel_id": "63426"}, {"ref": "angerc/notebook-fb001c802171955c48d6", "kernel_id": "64606"}, {"ref": "angerc/notebook-fed686e5d7eb50fb932a", "kernel_id": "64607"}, {"ref": "adinagarajan/notebook-8e1dab66c77755896c1e", "kernel_id": "64107"}, {"ref": "adinagarajan/data-exploration-and-visualisations", "kernel_id": "64100"}, {"ref": "adinagarajan/notebook-0d5c15d5cdb02aeb3426", "kernel_id": "64101"}, {"ref": "chomolungma/notebook-2e4c247a84780f063b40", "kernel_id": "66027"}, {"ref": "chomolungma/notebook-aca5ffecf6a1ac376b63", "kernel_id": "66058"}, {"ref": "chomolungma/time-is-min-simple-reasoning", "kernel_id": "66066"}, {"ref": "chomolungma/notebook-5eaa0814cff13df40a46", "kernel_id": "66043"}, {"ref": "chomolungma/notebook-b7951f8b66a2fa5e2cbf", "kernel_id": "65914"}, {"ref": "chomolungma/notebook-5364885d7cecf71f9551", "kernel_id": "65915"}, {"ref": "chomolungma/notebook-e1a6b71c7bf75071f10c", "kernel_id": "65926"}, {"ref": "chomolungma/notebook-1bcb7c9caaedc834e564", "kernel_id": "65922"}, {"ref": "bharat77/notebook8770d7507b", "kernel_id": "98625"}, {"ref": "jasonpong/notebook-fae8c2febcfae0b5067b", "kernel_id": "67000"}, {"ref": "mstellon/notebook-b4ffd3745bbe8b729814", "kernel_id": "65823"}, {"ref": "adror003/notebook-21ef8cce62a6b17995c5", "kernel_id": "62835"}, {"ref": "adror003/notebook-4f843114a499fcb52680", "kernel_id": "62836"}, {"ref": "pscion/exploratory-data-analysis", "kernel_id": "72256"}, {"ref": "dhvlnyk/quick-look-at-the-data-test-extended", "kernel_id": "62340"}, {"ref": "alexzhang/naive-knn", "kernel_id": "64306"}, {"ref": "awaisawan/notebook-30b4376c01c5aadf167d", "kernel_id": "62718"}, {"ref": "awaisawan/quick-look-at-the-data", "kernel_id": "62346"}, {"ref": "dkozyr/cell-experiments-with-cv", "kernel_id": "68011"}, {"ref": "thomasgav/exploring-accuracy", "kernel_id": "64098"}, {"ref": "yrevar/notebook-172c5b029b34a63276d4", "kernel_id": "62299"}, {"ref": "yrevar/fb-check-in-data-exploration", "kernel_id": "62300"}, {"ref": "yrevar/notebook-950b516e2ab9b03ab9f3", "kernel_id": "62293"}, {"ref": "yrevar/notebook-e5dca1a32a2bbf9ba245", "kernel_id": "66045"}, {"ref": "yrevar/notebook-6c11a739c841b2e4bc20", "kernel_id": "67927"}, {"ref": "wallysharp/notebook-b1bf0dc4268ef2ffd88e", "kernel_id": "66154"}, {"ref": "wallysharp/notebook-72c18a4c22e21d14011b", "kernel_id": "66155"}, {"ref": "wallysharp/notebook-a02f71ff407ecf74abfc", "kernel_id": "70535"}, {"ref": "jturkewitz/mad-scripts-battle-v1-3", "kernel_id": "62899"}, {"ref": "jturkewitz/mad-scripts-battle-v1-1", "kernel_id": "62884"}, {"ref": "jturkewitz/mad-script-battle-pandas-version", "kernel_id": "63242"}, {"ref": "jturkewitz/mean-x-y-over-time-days", "kernel_id": "64493"}, {"ref": "tonygracious/notebook-0ed52ce7b048ab2bcfa0", "kernel_id": "68579"}, {"ref": "tonygracious/notebook-612e6853ab90b04bd5af", "kernel_id": "63141"}, {"ref": "tonygracious/notebook-ec88dafe5c3f683a7ad0", "kernel_id": "63132"}, {"ref": "tonygracious/data-analysis", "kernel_id": "62862"}, {"ref": "tonygracious/notebook-2300f3d6e56ab61599ce", "kernel_id": "62873"}, {"ref": "mkesselaers/notebook-4a65039aa81c52c7d515", "kernel_id": "71080"}, {"ref": "mkesselaers/notebook-2a92cc2ad324d8a3b8a5", "kernel_id": "67522"}, {"ref": "mkesselaers/facebook-checkin", "kernel_id": "67509"}, {"ref": "mkesselaers/notebook-8c0da424f3157aa4685c", "kernel_id": "67743"}, {"ref": "jianpingl/first-version", "kernel_id": "73867"}, {"ref": "xiaoyuwang/xgboost", "kernel_id": "73828"}, {"ref": "xiaoyuwang/notebook-25d62231010e4ae44e71", "kernel_id": "73831"}, {"ref": "xiaoyuwang/notebook-74232d40708fa579fdb2", "kernel_id": "73832"}, {"ref": "xiaoyuwang/notebook-4732d785971798efb7e9", "kernel_id": "73833"}, {"ref": "xiaoyuwang/notebook-f7172190bd0b81844ace", "kernel_id": "73834"}, {"ref": "xiaoyuwang/notebook-eff5348ba601a8a509d3", "kernel_id": "73835"}, {"ref": "xiaoyuwang/notebook-53242d4c2a37ef3a3f09", "kernel_id": "74083"}, {"ref": "xiaoyuwang/mad-scripts-battle-z-temp", "kernel_id": "74938"}, {"ref": "xiaoyuwang/notebook-1a99e3928f9692267460", "kernel_id": "74691"}, {"ref": "xiaoyuwang/grid-knn-1", "kernel_id": "71859"}, {"ref": "jduan1/quick-look-at-the-data", "kernel_id": "62280"}, {"ref": "xmarvin/python-starter-0-55", "kernel_id": "67264"}, {"ref": "datasj/mad-scripts-battle-v2", "kernel_id": "63150"}, {"ref": "rsbkr333/exploratory-data-analysis", "kernel_id": "64495"}, {"ref": "yanyuyu/notebook-f968f95e3629b09f0455", "kernel_id": "65862"}, {"ref": "yanyuyu/notebook-f1d67e28413822cc61f8", "kernel_id": "65863"}, {"ref": "yanyuyu/notebook-6539834efc91046f1f14", "kernel_id": "65865"}, {"ref": "yanyuyu/notebook-8676754bdfc9c0cdef36", "kernel_id": "65875"}, {"ref": "yanyuyu/notebook-06027deca2757c42a300", "kernel_id": "65876"}, {"ref": "yanyuyu/notebook-dbbf2dc4361ee223ed7b", "kernel_id": "66171"}, {"ref": "yanyuyu/notebook-ebaca980c866379d25c7", "kernel_id": "66172"}, {"ref": "aldente/grid-knn", "kernel_id": "70785"}, {"ref": "aldente/grid-knn-test-only", "kernel_id": "72015"}, {"ref": "aldente/mad-scripts-battle-zzz", "kernel_id": "74742"}, {"ref": "aldente/notebook-0f30f3d7ea8312e8a8d5", "kernel_id": "73191"}, {"ref": "shdgrao/generic-model-ensemble-script", "kernel_id": "71420"}, {"ref": "shdgrao/parallel-training-over-grids", "kernel_id": "69233"}, {"ref": "rsalaschile/mad-scripts-battle-v1-1", "kernel_id": "62818"}, {"ref": "tranhothanhtinh/notebook-ccc7adc3f0877b14d99b", "kernel_id": "63959"}, {"ref": "khaledfayed/grid-knn", "kernel_id": "72133"}, {"ref": "khaledfayed/r-try-to-add-hour-rating", "kernel_id": "70090"}, {"ref": "ather123/exploring-fb", "kernel_id": "123185"}, {"ref": "guangwei1982/facebook-script", "kernel_id": "62206"}, {"ref": "guangwei1982/notebook-3252a2cd03bbd517ca3d", "kernel_id": "62593"}, {"ref": "guangwei1982/notebook-5506a09ab8b1175ec164", "kernel_id": "62308"}, {"ref": "jsh127/random-forest-and-knn-on-a-few-blocks", "kernel_id": "74089"}, {"ref": "deekaushal/test1", "kernel_id": "65959"}, {"ref": "deekaushal/temp1", "kernel_id": "65963"}, {"ref": "deekaushal/notebook-5f6aaecca7188cad53ef", "kernel_id": "65966"}, {"ref": "antediemterzium/just-trying", "kernel_id": "75694"}, {"ref": "antediemterzium/notebook-01bab939cc27f1c52ce9", "kernel_id": "66195"}, {"ref": "antediemterzium/notebook-7c66a30a38bd36a421ce", "kernel_id": "66192"}, {"ref": "antediemterzium/notebook-929995c7b6944068e7f2", "kernel_id": "66193"}, {"ref": "antediemterzium/notebook-fc807b25f204bff2dc96", "kernel_id": "66210"}, {"ref": "antediemterzium/r-try-to-add-hour-rating", "kernel_id": "68884"}, {"ref": "compx2016/notebook-0d9f9d6cd74897c3d7aa", "kernel_id": "72051"}, {"ref": "haothecabbage/notebook-75a732e3bfd0002c7976", "kernel_id": "73142"}, {"ref": "haothecabbage/data-exploration-and-visualisations", "kernel_id": "69572"}, {"ref": "haothecabbage/notebook-cff6b462f9aca8c35eff", "kernel_id": "69575"}, {"ref": "haothecabbage/notebook-63b716fdf9d999996058", "kernel_id": "69576"}, {"ref": "haothecabbage/notebook-ddd8fa6c8bd167ef20a1", "kernel_id": "69577"}, {"ref": "haothecabbage/notebook-55f22d9f568beda55ab0", "kernel_id": "69578"}, {"ref": "aaronan/notebook-fa52f01faf031c6e0c03", "kernel_id": "62967"}, {"ref": "prathamesh3103/k-nearest-neighbor", "kernel_id": "72423"}, {"ref": "prathamesh3103/random-forest-v3", "kernel_id": "67715"}, {"ref": "prathamesh3103/random-forest-on-small-blocks", "kernel_id": "65893"}, {"ref": "prathamesh3103/random-forest", "kernel_id": "65499"}, {"ref": "razahabib/notebook-64be2c8579b836a7537f", "kernel_id": "72350"}, {"ref": "razahabib/notebook-bf75bdf6a5834ae6df93", "kernel_id": "72357"}, {"ref": "razahabib/grid-knn", "kernel_id": "75281"}, {"ref": "diogojapinto/notebook-c53bb240fb44e07f5a18", "kernel_id": "67387"}, {"ref": "diogojapinto/notebook-08e7e4f2bbd765bc7c5f", "kernel_id": "67339"}, {"ref": "diogojapinto/notebook-79cd6c6683ed288e3218", "kernel_id": "67111"}, {"ref": "diogojapinto/notebook-1302f8f60caf8eff5139", "kernel_id": "67113"}, {"ref": "diogojapinto/notebook-ad4be7129b2cc7506d54", "kernel_id": "67114"}, {"ref": "diogojapinto/notebook-48332f2c4e7525df652a", "kernel_id": "67115"}, {"ref": "diogojapinto/notebook-245db08f02d61e89200a", "kernel_id": "67116"}, {"ref": "diogojapinto/test1", "kernel_id": "67117"}, {"ref": "chdhatri/notebook-7a9757e03fcc0e0aa3e7", "kernel_id": "69958"}, {"ref": "ayushkesar/notebook-048602de93de644d80ac", "kernel_id": "62737"}, {"ref": "ayushkesar/notebook-59ed78f0bbe8caad6df1", "kernel_id": "62738"}, {"ref": "ayushkesar/notebook-a8104fd0f78e4e19c755", "kernel_id": "62778"}, {"ref": "chopra/notebook-a2d2a896b5f998825147", "kernel_id": "70120"}, {"ref": "chopra/notebook-b556438d9bbdbc6da0cd", "kernel_id": "70121"}, {"ref": "chopra/notebook-3644b3d513ecde360b75", "kernel_id": "72316"}, {"ref": "chopra/logistic-regression-to-find-knn-weights", "kernel_id": "72566"}, {"ref": "chopra/fork-of-better", "kernel_id": "100136"}, {"ref": "chopra/notebook-0e8a746f6b0b06624337", "kernel_id": "75968"}, {"ref": "chopra/better", "kernel_id": "75966"}, {"ref": "radustoicescu/10080-timestamps-in-a-day-78-days", "kernel_id": "64198"}, {"ref": "mattgenkin/notebook-9c5bc9f5c8cf80032309", "kernel_id": "65786"}, {"ref": "mattgenkin/data-exploration-and-visualisations", "kernel_id": "65750"}, {"ref": "marcpuig/grid-plus-classifier", "kernel_id": "70429"}, {"ref": "marcpuig/exploring-data", "kernel_id": "62480"}, {"ref": "etelliez/notebook-fa4e77d3706edcef869c", "kernel_id": "75976"}, {"ref": "abhilashawasthi/newscript2", "kernel_id": "76146"}, {"ref": "abhilashawasthi/mad-scripts-battle-z", "kernel_id": "74480"}, {"ref": "abhilashawasthi/mad-scripts-battle-z-2", "kernel_id": "74483"}, {"ref": "abhilashawasthi/notebook-068421e93940d868d8b0", "kernel_id": "74501"}, {"ref": "abhilashawasthi/trying", "kernel_id": "74502"}, {"ref": "thedoctor46/notebook-badbd09bc480f732ce8b", "kernel_id": "73263"}, {"ref": "abhishek3/notebook-0e4dd8acb7b74b40328b", "kernel_id": "62284"}, {"ref": "abhishek3/notebook-311e173884c757e48111", "kernel_id": "62285"}, {"ref": "abhishek3/notebook-38c3bacea3fe88e6872b", "kernel_id": "62286"}, {"ref": "jenniferkoppens/notebook-2623dacb291fb56fcb18", "kernel_id": "72226"}, {"ref": "sakvaua/notebook-fee7e65c6a2d8020193c", "kernel_id": "64723"}, {"ref": "sakvaua/animated-check-ins", "kernel_id": "64724"}, {"ref": "shimoda/notebook-cddba5345429ee542f31", "kernel_id": "75370"}, {"ref": "shimoda/notebook-1638e780abb2d2d2ad19", "kernel_id": "75410"}, {"ref": "anirudhsharma/first", "kernel_id": "71896"}, {"ref": "anirudhsharma/notebook-604078611dbeb127a5a7", "kernel_id": "73402"}, {"ref": "anirudhsharma/proper", "kernel_id": "73385"}, {"ref": "anirudhsharma/proper2", "kernel_id": "73389"}, {"ref": "anirudhsharma/notebook-45d1aae0fff4fffbb2d8", "kernel_id": "73395"}, {"ref": "silverguo/notebook-a799cb5f0e52cadc074b", "kernel_id": "67082"}, {"ref": "dhanaschenniappan/notebook-6c1cc2f8b9050978826c", "kernel_id": "62302"}, {"ref": "jmbenson/attemptone", "kernel_id": "62283"}, {"ref": "yglsmith/modified-grid-knn", "kernel_id": "75329"}, {"ref": "wooliekyat/wooliekyat-1", "kernel_id": "67662"}, {"ref": "bochocki/data-exploration-and-visualisations", "kernel_id": "62999"}, {"ref": "chiggypk/firstscript", "kernel_id": "70776"}, {"ref": "chiggypk/notebook-77b958119c9550c39521", "kernel_id": "70770"}, {"ref": "davidkunio/notebook-85a98004581d0aecea4f", "kernel_id": "65537"}, {"ref": "davidkunio/recruiting-challenge", "kernel_id": "65531"}, {"ref": "davidkunio/notebook-f60cd50ddc88bcf430fc", "kernel_id": "65554"}, {"ref": "davidkunio/notebook-b3616ed2f0c6457b4227", "kernel_id": "65555"}, {"ref": "davidkunio/notebook-37e6f205c9f6419221fb", "kernel_id": "65556"}, {"ref": "paullo0106/knn-accelerated-v3", "kernel_id": "75943"}, {"ref": "paullo0106/exploratory-data-analysis", "kernel_id": "73576"}, {"ref": "linhr10/notebook-36b074828a163a9c911b", "kernel_id": "67360"}, {"ref": "linhr10/notebook-e4003f6c24fa48d7f831", "kernel_id": "67361"}, {"ref": "maver1ck/quick-look-at-the-data", "kernel_id": "176184"}, {"ref": "nitinmahajan/notebook-9b28b218d718d41ec01b", "kernel_id": "68191"}, {"ref": "nitinmahajan/test1-yes", "kernel_id": "68194"}, {"ref": "chengcen/notebook-15e4cb1d6be996994a42", "kernel_id": "73173"}, {"ref": "haxelion/notebook-4f9deec368be8ba273d6", "kernel_id": "65450"}, {"ref": "naveen695/checking-r", "kernel_id": "67834"}, {"ref": "bigtdatalearner/fb-check-in-data-exploration", "kernel_id": "71709"}, {"ref": "bigtdatalearner/notebook-6be12b8fe84e078ab6d0", "kernel_id": "72638"}, {"ref": "bigtdatalearner/notebook-f530a0fdfb44bdb278dc", "kernel_id": "72869"}, {"ref": "jackalcom/notebook-3d560ff641760151e00d", "kernel_id": "75152"}, {"ref": "amitabha/notebook-66a88a77ff95641fb629", "kernel_id": "73354"}, {"ref": "amitabha/quick-look-at-the-data", "kernel_id": "73355"}, {"ref": "santoshim/notebook-343e5c20bd7117dbd7cc", "kernel_id": "63642"}, {"ref": "santoshim/notebook-5a5577fef8175ae8fac2", "kernel_id": "63643"}, {"ref": "libra202ma/notebooke5c6af7da0", "kernel_id": "258561"}, {"ref": "keldlundgaard/data-exploration-and-visualisations", "kernel_id": "66993"}, {"ref": "keldlundgaard/notebook-7f1d8c1460f14f34e818", "kernel_id": "66994"}, {"ref": "shkang/notebook-d81326e1c5f1ee6d3d14", "kernel_id": "63379"}, {"ref": "prith189/notebook-6184c980c70f5e8b6392", "kernel_id": "73174"}, {"ref": "armanform/modified-grid-knn-v2", "kernel_id": "76207"}, {"ref": "armanform/facebook-v-random-forest", "kernel_id": "73264"}, {"ref": "armanform/facebook-v-random-forest-grid", "kernel_id": "73268"}, {"ref": "ak1001/notebook-a45ffab2f3b9c8dc9477", "kernel_id": "63673"}, {"ref": "sallywing/notebook-2b583ac05772104faedf", "kernel_id": "66962"}, {"ref": "sallywing/exploredata", "kernel_id": "66948"}, {"ref": "sallywing/notebook-48004a9c5781e752f86b", "kernel_id": "66950"}, {"ref": "sallywing/notebook-c8da4ac988aa36eb89ed", "kernel_id": "66954"}, {"ref": "sallywing/notebook-bc39e274e95e101e975c", "kernel_id": "66956"}, {"ref": "sallywing/notebook-4545e5e397bb5baba0b6", "kernel_id": "66957"}, {"ref": "magstewart/notebook-3b5270bcb6b13468f8d2", "kernel_id": "63877"}, {"ref": "srimalj/accuracy", "kernel_id": "72954"}, {"ref": "srimalj/analyse-time", "kernel_id": "63556"}, {"ref": "srimalj/analyse-time-2", "kernel_id": "63561"}, {"ref": "srimalj/notebook-e51879bf417199a41974", "kernel_id": "63143"}, {"ref": "srimalj/notebook-992af95b6f4864a64cb4", "kernel_id": "63088"}, {"ref": "srimalj/investigate-time", "kernel_id": "63089"}, {"ref": "srimalj/notebook-e4c05f5b0581e5476eab", "kernel_id": "62717"}, {"ref": "irish1/notebook-4e45f823a9f6c28070b1", "kernel_id": "62825"}, {"ref": "irish1/notebook-8ec05b85962a2f6be4b2", "kernel_id": "62829"}, {"ref": "irish1/notebook-3413a320c30b2c863b28", "kernel_id": "63005"}, {"ref": "irish1/notebook-e7e2ba8724f78e8c75f8", "kernel_id": "63022"}, {"ref": "irish1/notebook-fff348ec58d2fbca6801", "kernel_id": "63024"}, {"ref": "keshavsehgal/modified-grid-knn", "kernel_id": "75067"}, {"ref": "keshavsehgal/random-forest", "kernel_id": "75450"}, {"ref": "keshavsehgal/script-competition-facebook-v-2-1", "kernel_id": "75447"}, {"ref": "keshavsehgal/random-forest-4", "kernel_id": "76172"}, {"ref": "keshavsehgal/random-forest-5", "kernel_id": "76173"}, {"ref": "keshavsehgal/random-forest-2", "kernel_id": "76168"}, {"ref": "keshavsehgal/random-forest-3", "kernel_id": "76169"}, {"ref": "keshavsehgal/script-competition-facebook-vi", "kernel_id": "74339"}, {"ref": "ciphurus/notebook-fdb60d6d7191821c8264", "kernel_id": "66135"}, {"ref": "ciphurus/notebook-70d76e9d11ffdf218567", "kernel_id": "66404"}, {"ref": "ciphurus/notebook-c2bd3aae4443025a7466", "kernel_id": "66370"}, {"ref": "ciphurus/notebook-e99e61ebfcc9ecf51f03", "kernel_id": "66347"}, {"ref": "ciphurus/notebook-c77d6f5be0eb2fd0f1f4", "kernel_id": "66393"}, {"ref": "ciphurus/fbook-test", "kernel_id": "66342"}, {"ref": "ciphurus/notebook-15e459e0e16331ee7d56", "kernel_id": "66344"}, {"ref": "adityap31/locationdata", "kernel_id": "75918"}, {"ref": "attila007/first-attempt", "kernel_id": "62360"}, {"ref": "haimco/notebook-160088805b869da80228", "kernel_id": "69765"}, {"ref": "haimco/notebook-05d2eb1daf41d44ab579", "kernel_id": "69796"}, {"ref": "haimco/notebook-8e8333496b82ef2b7b79", "kernel_id": "69797"}, {"ref": "nikolayburlutskiy/randomforest-test", "kernel_id": "66758"}, {"ref": "nikolayburlutskiy/modified-grid-knn", "kernel_id": "76054"}, {"ref": "abhinavs01858/detect-the-unit-of-time", "kernel_id": "69840"}, {"ref": "abhinavs01858/facebook-x-vs-y-visualization", "kernel_id": "69841"}, {"ref": "abhinavs01858/notebook-5fd3ace36e9b2e15956e", "kernel_id": "67596"}, {"ref": "abhinavs01858/random-forest-and-knn-on-fb", "kernel_id": "75109"}, {"ref": "abhinavs01858/logistic-regression-to-find-knn-weights", "kernel_id": "75123"}, {"ref": "praveengovi/notebook-e46fbdcb0e0caec146e1", "kernel_id": "63737"}, {"ref": "gentlej/data-exploration-and-visualisations", "kernel_id": "64673"}, {"ref": "arcarchit/first-script", "kernel_id": "68278"}, {"ref": "arcarchit/first-notebook", "kernel_id": "68279"}, {"ref": "bricedev/notebook-6cf8251f5627445200ad", "kernel_id": "72651"}, {"ref": "granit/testme", "kernel_id": "62604"}, {"ref": "valery123/facebook-test", "kernel_id": "62920"}, {"ref": "valery123/notebook-ca28d1603ccb7c29cb0d", "kernel_id": "62926"}, {"ref": "valery123/notebook-ec6054e654683e9ec85e", "kernel_id": "62927"}, {"ref": "valery123/notebook-0834b696d40127ce2d5c", "kernel_id": "63317"}, {"ref": "violinbeats/understanding-check-ins", "kernel_id": "63327"}, {"ref": "violinbeats/knn-test-run", "kernel_id": "62651"}, {"ref": "violinbeats/1nn-test-run", "kernel_id": "62714"}, {"ref": "vadimmalykh/notebook-d2515c064e42641e8c95", "kernel_id": "63047"}, {"ref": "vadimmalykh/notebook-21d6a1ca57612fc88360", "kernel_id": "63048"}, {"ref": "yzadoya/notebook-d47eaf288b4fac709cf5", "kernel_id": "62814"}, {"ref": "amacrae2/notebook-b417d0d047c2b6c8d883", "kernel_id": "70737"}, {"ref": "vishallakha/modified-grid-knn-v10", "kernel_id": "76084"}, {"ref": "vishallakha/modified-grid-knn-new-attempt", "kernel_id": "76381"}, {"ref": "vishallakha/notebook-e1006c7d3ff19a15c7e0", "kernel_id": "75115"}, {"ref": "statarb/test-r", "kernel_id": "75044"}, {"ref": "balajibi/facebook-solution-bi-1", "kernel_id": "75034"}, {"ref": "balajibi/entry-solution-fb-bi", "kernel_id": "69206"}, {"ref": "pchitta/fboost", "kernel_id": "62397"}, {"ref": "tiger2004011471/data-exploration-and-visualisations", "kernel_id": "68815"}, {"ref": "camdenclark/what-does-accuracy-mean", "kernel_id": "69165"}, {"ref": "camdenclark/testing-4", "kernel_id": "66492"}, {"ref": "camdenclark/testingmore", "kernel_id": "66494"}, {"ref": "peatle/notebook-17e0c1144168326513d0", "kernel_id": "63984"}, {"ref": "peatle/notebook-27365498d3eaff432769", "kernel_id": "63985"}, {"ref": "peatle/notebook-e20ee494de963c502d5c", "kernel_id": "63987"}, {"ref": "peatle/notebook-79b10d7e6d4885657058", "kernel_id": "63988"}, {"ref": "peatle/visualise-check-ins-over-time-gif", "kernel_id": "63990"}, {"ref": "peatle/test-01", "kernel_id": "63446"}, {"ref": "lbronchal/notebook-6c80f0f6b32b71ef01c4", "kernel_id": "62757"}, {"ref": "bowendeng/nearestneighbor", "kernel_id": "63282"}, {"ref": "thedarkl0rd/modified-grid-knn-17-z", "kernel_id": "75136"}, {"ref": "hanhui/notebook-ad86f43dd7252bc04ff0", "kernel_id": "73765"}, {"ref": "acelikkaya/quick-look-at-the-data", "kernel_id": "64578"}, {"ref": "acelikkaya/testing", "kernel_id": "64608"}, {"ref": "yogitasingh/notebook-994dacd14956f996ab7f", "kernel_id": "69282"}, {"ref": "yogitasingh/first-script", "kernel_id": "69287"}, {"ref": "yogitasingh/notebook-d2bb846154afa37b13e5", "kernel_id": "69284"}, {"ref": "ambercloud/3rd-place-solution-simple-version", "kernel_id": "93846"}, {"ref": "yjl1228/another-way-to-know-the-time-definition", "kernel_id": "66703"}, {"ref": "ashokt/data-exploration-and-visualisations", "kernel_id": "76553"}, {"ref": "apapiu/random-forest-on-a-few-blocks", "kernel_id": "64759"}, {"ref": "apapiu/facebook-land", "kernel_id": "63351"}, {"ref": "apapiu/mad-script-battle-r-version", "kernel_id": "66115"}, {"ref": "apapiu/grid-knn-fine", "kernel_id": "70941"}, {"ref": "apapiu/grid-knn-mins", "kernel_id": "70228"}, {"ref": "crazycoder/notebook-3b87ecdd56aec87a454d", "kernel_id": "68918"}, {"ref": "jasmineren/timestamp-structure", "kernel_id": "71283"}, {"ref": "towhid1/1st-look", "kernel_id": "62251"}, {"ref": "towhid1/notebook-f1a4cc8231aece6c1e86", "kernel_id": "62319"}, {"ref": "mjchao/notebook-8aaf1ca0b37d00de2244", "kernel_id": "68673"}, {"ref": "mjchao/notebook-f5421b8fbc7fd41c37d4", "kernel_id": "68658"}, {"ref": "mjchao/notebook-41c4b9716f074ac362d3", "kernel_id": "68659"}, {"ref": "mjchao/testing", "kernel_id": "68660"}, {"ref": "juanlopez/first-data-view", "kernel_id": "63204"}, {"ref": "juanlopez/data-analysis", "kernel_id": "62445"}, {"ref": "juanlopez/notebook-43d96800c05fba40db25", "kernel_id": "62479"}, {"ref": "andreyjet/accuracy-pattern", "kernel_id": "63481"}, {"ref": "aadilh/notebook-fc0f252cce7df5b16e57", "kernel_id": "72924"}, {"ref": "dumbris/skflow-test", "kernel_id": "63352"}, {"ref": "dumbris/tensorflow", "kernel_id": "63353"}, {"ref": "dumbris/notebook-1bf88c9cbe9164466897", "kernel_id": "63585"}, {"ref": "dumbris/notebook-b4530d7b2af328c7ae06", "kernel_id": "65123"}, {"ref": "dumbris/notebook-8141d5a9d6367611832d", "kernel_id": "64414"}, {"ref": "dumbris/notebook-2f363efaeba38d6b293f", "kernel_id": "64230"}, {"ref": "dagarkatyal/random-forest-and-knn-on-a-few-blocks", "kernel_id": "74701"}, {"ref": "sandeeptammu/knn-accelerated-v3", "kernel_id": "75895"}, {"ref": "sandeeptammu/mad-scripts-battle-z", "kernel_id": "74552"}, {"ref": "sandeeptammu/knn-fork", "kernel_id": "74553"}, {"ref": "sandeeptammu/notebook-d753657332fbf2a9811c", "kernel_id": "74388"}, {"ref": "azzurraying/notebook-5ada68ae0058475dd913", "kernel_id": "69185"}, {"ref": "azzurraying/notebook-3b738dc04d8c94368bf5", "kernel_id": "69187"}, {"ref": "azzurraying/notebook-ac273b8bbaa66e9c19f5", "kernel_id": "69209"}, {"ref": "azzurraying/notebook-2916c4b8f0d4fa75f654", "kernel_id": "70084"}, {"ref": "azzurraying/notebook-72497fe427c5cf43f03a", "kernel_id": "69369"}, {"ref": "mohanpb/quick-look-at-the-data", "kernel_id": "71444"}, {"ref": "sb1700/random-forest-on-a-few-blocks", "kernel_id": "65293"}, {"ref": "sb1700/facebook-1", "kernel_id": "65294"}, {"ref": "sb1700/notebook-908845c4a65947d232ee", "kernel_id": "65315"}, {"ref": "sb1700/notebook-433e479cd9558655d990", "kernel_id": "65304"}, {"ref": "sb1700/notebook-1580e46e6efed33195e3", "kernel_id": "65599"}, {"ref": "sb1700/notebook-2878552a36b7a6bf0431", "kernel_id": "65606"}, {"ref": "cherrybing/notebook-1bb7a7ed461eb57f80ea", "kernel_id": "65102"}, {"ref": "vhaines/notebook-22aa538427503cc990c6", "kernel_id": "72990"}, {"ref": "rayraydinh/notebook-cfffe9226238e01ee2d9", "kernel_id": "63210"}, {"ref": "rayraydinh/notebook-33e5626ec7dcea2ed42b", "kernel_id": "63212"}, {"ref": "datasan/notebook-0745317d822e6e7b97ec", "kernel_id": "68351"}, {"ref": "bunny01/data-exploration-and-visualisations", "kernel_id": "63746"}, {"ref": "bunny01/notebook-8c32243c32244681249f", "kernel_id": "63748"}, {"ref": "navoshta/grid-knn", "kernel_id": "72625"}, {"ref": "navoshta/notebook-19e8304476c6e2f1120b", "kernel_id": "72621"}, {"ref": "navoshta/yet-another-knn-with-a-grid", "kernel_id": "72617"}, {"ref": "zzwcsong/data-exploration-and-visualisations", "kernel_id": "62935"}, {"ref": "cssachse/notebook-183434561297fe1969b7", "kernel_id": "62241"}, {"ref": "cssachse/notebook-79f34def861deac2ff50", "kernel_id": "62243"}, {"ref": "anirbanmajumder/notebook-602580323e23cba9e567", "kernel_id": "63469"}, {"ref": "tunguz/facebook-pci", "kernel_id": "65248"}, {"ref": "tunguz/msb-with-validation-v3-0", "kernel_id": "64179"}, {"ref": "tunguz/script-competition-facebook-v-2-2", "kernel_id": "75525"}, {"ref": "jmnwong/notebook-ec7f9c420b0e1f9296ec", "kernel_id": "62957"}, {"ref": "jmnwong/notebook-2ea3a25c8d72436a4d48", "kernel_id": "63009"}, {"ref": "jmnwong/notebook-2bafb27795eb3a2d0555", "kernel_id": "74248"}, {"ref": "jmnwong/notebook-26c2d9bcafe1b8eaa2d0", "kernel_id": "74249"}, {"ref": "jmnwong/notebook-bc5e64010e00c1f7b3a2", "kernel_id": "74238"}, {"ref": "magicsea/notebook-226d65111b1d792b28d5", "kernel_id": "66804"}, {"ref": "magicsea/notebook-3a288fcbf6c25ca2a4b8", "kernel_id": "66806"}, {"ref": "millerintllc/max-2", "kernel_id": "62959"}, {"ref": "jeansoula/notebook-34dc9e4f78e80506c106", "kernel_id": "76546"}, {"ref": "jeansoula/notebook-3b78866c9d5693b54039", "kernel_id": "76282"}, {"ref": "jeansoula/notebook-29094fd67f77ced87745", "kernel_id": "76273"}, {"ref": "jeansoula/notebook-ae455decfb394985de00", "kernel_id": "76275"}, {"ref": "jeansoula/notebook-a4bfc20322c50a8aa34b", "kernel_id": "76234"}, {"ref": "jeansoula/accuracy-explained", "kernel_id": "76235"}, {"ref": "jeansoula/notebook-7ec1a9020348155c46ab", "kernel_id": "76237"}, {"ref": "jeansoula/notebook-833889baeb9d05117dcc", "kernel_id": "76238"}, {"ref": "jeansoula/notebook-d449972ab4a066fd2939", "kernel_id": "76248"}, {"ref": "jeansoula/notebook-4d7ec60132aea94e33a4", "kernel_id": "76249"}, {"ref": "jeansoula/notebook-9571fdde6112b36b19fa", "kernel_id": "76253"}, {"ref": "nigelhenry/accuracy-explained", "kernel_id": "72628"}, {"ref": "pacificera/notebook-413731fc2587d4141ac3", "kernel_id": "62142"}, {"ref": "nshively/working", "kernel_id": "62247"}, {"ref": "chuhimself/exploring-time", "kernel_id": "66808"}, {"ref": "chuhimself/notebook-4c84e4f1ec418d50d67a", "kernel_id": "66814"}, {"ref": "juanczm/distance-for-nn", "kernel_id": "75821"}, {"ref": "stlstl/65854", "kernel_id": "90547"}, {"ref": "chiechie/notebook-5279874ea4838d09b968", "kernel_id": "69413"}, {"ref": "vishinema/notebook-31e913ab325df21af4cf", "kernel_id": "67209"}, {"ref": "lalmanisha/timestamp-structure", "kernel_id": "66676"}, {"ref": "svarmit/notebook-9f4a865c294ba2ca23f9", "kernel_id": "63887"}, {"ref": "svarmit/notebook-3b80da9f14907629dcf9", "kernel_id": "62928"}, {"ref": "svarmit/notebook-226cf65d5c1b3e3861ec", "kernel_id": "62265"}, {"ref": "bgnipp/notebook-a76c4242aa9a8a223fe2", "kernel_id": "76714"}, {"ref": "bgnipp/notebook-53a3ccdcdc9fec290eef", "kernel_id": "76715"}, {"ref": "knmnyn/notebook-051ff748cda1a869b18b", "kernel_id": "69000"}, {"ref": "knmnyn/notebook-194c28bb5d035030e1a2", "kernel_id": "69171"}, {"ref": "knmnyn/notebook-0ffd3b77eb89b072ceb7", "kernel_id": "69172"}, {"ref": "knmnyn/fb-check-in-data-exploration", "kernel_id": "69163"}, {"ref": "gcoban/notebook-d2c913c6dd4bf14a1ad3", "kernel_id": "73090"}, {"ref": "kevinoconnor/facebook-check-in-prediction", "kernel_id": "62276"}, {"ref": "leeyounghun/data-exploration-and-visualisations", "kernel_id": "63952"}, {"ref": "leeyounghun/notebook-76c41663bd6c97981cb0", "kernel_id": "63953"}, {"ref": "aristoi/random-forest-and-knn-on-a-few-blocks", "kernel_id": "72197"}, {"ref": "scnndl/notebook-bf47294cf909b577ca98", "kernel_id": "68784"}, {"ref": "scnndl/notebook-23d2c828b91228f4cb70", "kernel_id": "68773"}, {"ref": "scnndl/notebook-47d3709623cc109b4ec6", "kernel_id": "68770"}, {"ref": "pibiflex/notebook-ad6a8aa92f8ec5253e71", "kernel_id": "73801"}, {"ref": "pibiflex/notebook-453aad2cf10a8b93f253", "kernel_id": "73802"}, {"ref": "pibiflex/test01", "kernel_id": "73797"}, {"ref": "pibiflex/extended-grid-knn", "kernel_id": "73806"}, {"ref": "pibiflex/notebook-b1a3e004d76f3224e0bf", "kernel_id": "73807"}, {"ref": "pibiflex/notebook-5b40ea86dcab3e8d3e94", "kernel_id": "73817"}, {"ref": "pibiflex/notebook-3a63dab9ff1593affb3d", "kernel_id": "73820"}, {"ref": "alastairbreeze/notebook-ba857d62ab92840ebf17", "kernel_id": "62183"}, {"ref": "loikaggle/test-write", "kernel_id": "72056"}, {"ref": "loikaggle/grid-knn-acc", "kernel_id": "72012"}, {"ref": "loikaggle/grid-knn", "kernel_id": "69665"}, {"ref": "loikaggle/notebook-3fc8bd1c2ed76f60de21", "kernel_id": "69658"}, {"ref": "loikaggle/split-learn-join", "kernel_id": "69661"}, {"ref": "loikaggle/menlo-park", "kernel_id": "70933"}, {"ref": "loikaggle/grid-knn-mins", "kernel_id": "70307"}, {"ref": "roryhr/data-exploration-and-visualisations", "kernel_id": "71309"}, {"ref": "roryhr/data-analysis", "kernel_id": "72986"}, {"ref": "elixyra/facebook-trial-3", "kernel_id": "69221"}, {"ref": "elixyra/facebook-location-correcter", "kernel_id": "68558"}, {"ref": "altriaex/data-exploration-and-visualisations", "kernel_id": "66443"}, {"ref": "headings/grid-plus-classifier", "kernel_id": "68185"}, {"ref": "xfconnie/first-test", "kernel_id": "67703"}, {"ref": "xfconnie/notebook-8a018ccb49af97394595", "kernel_id": "67697"}, {"ref": "xfconnie/notebook-d01c8fb6ec61551e9b48", "kernel_id": "67698"}, {"ref": "xfconnie/notebook-bf50f7a4e498ce653c97", "kernel_id": "67699"}, {"ref": "xfconnie/notebook-1758162260be693f5c27", "kernel_id": "67700"}, {"ref": "databeta/notebook-834efbf1aee46cf565d8", "kernel_id": "70505"}, {"ref": "ppoddar/test-run", "kernel_id": "62235"}, {"ref": "sylvesterchiang/notebook-3231982bf3b302d3773f", "kernel_id": "67383"}, {"ref": "sylvesterchiang/notebook-c20c0a5d95981224a130", "kernel_id": "67385"}, {"ref": "edthekoala/notebook-828b7bb7bb7bdde46d7e", "kernel_id": "65586"}, {"ref": "jianchengyang/data-exploration-and-visualisations", "kernel_id": "64453"}, {"ref": "jianchengyang/notebook-292dd591cdba204e07af", "kernel_id": "64454"}, {"ref": "omarelgabry/notebook-18b26681596e93abf47f", "kernel_id": "64913"}, {"ref": "omarelgabry/notebook-18a9c65c8db683162583", "kernel_id": "64899"}, {"ref": "omarelgabry/notebook-2e9e74c53a66a9e7e8bc", "kernel_id": "64900"}, {"ref": "omarelgabry/notebook-67966b8fa966a5bb3dab", "kernel_id": "64923"}, {"ref": "omarelgabry/notebook-1f341e6c3bde5e48c7b4", "kernel_id": "64926"}, {"ref": "omarelgabry/notebook-71fa84d08b50644ffa57", "kernel_id": "64918"}, {"ref": "omarelgabry/facebook-check-ins-analysis-prediction", "kernel_id": "64903"}, {"ref": "omarelgabry/notebook-2af0fb8638063bd796be", "kernel_id": "64916"}, {"ref": "omarelgabry/notebook-658b348ab3a1a4cdbb18", "kernel_id": "64921"}, {"ref": "omarelgabry/notebook-f3b878464b835db813ad", "kernel_id": "64955"}, {"ref": "leeguoo/time-fft", "kernel_id": "68638"}, {"ref": "chistyakov/r-script-try-to-add-hour-rating", "kernel_id": "66414"}, {"ref": "chistyakov/simple-r", "kernel_id": "62978"}, {"ref": "aman1391/notebook-3945899ccf66e517db36", "kernel_id": "77120"}, {"ref": "lakinsm/multiprocessing-template-py", "kernel_id": "63750"}, {"ref": "lakinsm/multiprocessing-template-py-1", "kernel_id": "63751"}, {"ref": "lakinsm/msb-with-validation-v2-0", "kernel_id": "63889"}, {"ref": "beedata/notebook-6b784685cb8c834f76d7", "kernel_id": "73166"}, {"ref": "beedata/mad-scripts-battle-zda", "kernel_id": "74792"}, {"ref": "swchen0215/notebook-e7b550c931838a283587", "kernel_id": "65504"}, {"ref": "swchen0215/testfb", "kernel_id": "65505"}, {"ref": "swchen0215/notebook-1a91d431546e8810d7fc", "kernel_id": "65506"}, {"ref": "swchen0215/notebook-1eb3cb3e37bb8ac64d90", "kernel_id": "65514"}, {"ref": "swchen0215/notebook-3e97679615a4d713971e", "kernel_id": "65515"}, {"ref": "shresthamalik/notebook-95e36cf5bcbeaa9c6ee5", "kernel_id": "73440"}, {"ref": "nickyua/notebook-0b71da3cd279dca038d8", "kernel_id": "63214"}, {"ref": "brandao/grid-knn-mins", "kernel_id": "70753"}, {"ref": "brandao/facebook-test-1", "kernel_id": "66178"}, {"ref": "antsek/notebook-c361192fe5e4df8f4fa3", "kernel_id": "65413"}, {"ref": "antsek/testing-py", "kernel_id": "65414"}, {"ref": "antsek/notebook-9894715b88a0bcc4a568", "kernel_id": "65426"}, {"ref": "zfturbo/test-data", "kernel_id": "62198"}, {"ref": "zfturbo/msb-with-validation", "kernel_id": "63043"}, {"ref": "zfturbo/mad-scripts-battle", "kernel_id": "62740"}, {"ref": "bernardas78/notebook-b12f0d1d45f74e9d9f54", "kernel_id": "65580"}, {"ref": "evgeniyhyzla/notebook-b0be83e966876b178c82", "kernel_id": "73844"}, {"ref": "febman/notebook-70ad499d510b870dfde4", "kernel_id": "62217"}, {"ref": "freinet/data-exploration-and-visualisations", "kernel_id": "63661"}, {"ref": "ntuloser/naive-knn", "kernel_id": "65064"}, {"ref": "ntuloser/random-forest-on-a-few-blocks", "kernel_id": "66048"}, {"ref": "ntuloser/random-forest-on-a-few-blocks-with-day", "kernel_id": "66899"}, {"ref": "sagarpatel/notebook-fe25c43a59001504d4f2", "kernel_id": "63223"}, {"ref": "banani2987/runscr", "kernel_id": "63592"}, {"ref": "dagakriti/notebook-b82153f49e9f09729c5e", "kernel_id": "72672"}, {"ref": "dagakriti/notebook-a0d1b590a1e232fc42ad", "kernel_id": "72674"}, {"ref": "sandeepkale/data-analysis-step-1", "kernel_id": "67395"}, {"ref": "lincoln2491/notebook-73c23ce04c0c107f5c59", "kernel_id": "72650"}, {"ref": "lincoln2491/notebook-770d177d9d19b628b04a", "kernel_id": "72652"}, {"ref": "lincoln2491/notebook-d595f2cfc9ef1f7181dd", "kernel_id": "72654"}, {"ref": "lincoln2491/notebook-3f6b118a6de76836c37c", "kernel_id": "72661"}, {"ref": "lincoln2491/notebook-007829c0a9e632f55411", "kernel_id": "72424"}, {"ref": "gonzalosanchez/accuracy-periodicity", "kernel_id": "66474"}, {"ref": "gonzalosanchez/notebook-4bb52f5c42240ec8827e", "kernel_id": "63989"}, {"ref": "gonzalosanchez/data-exploration-i", "kernel_id": "63991"}, {"ref": "gonzalosanchez/elasticnet-selecting-locations", "kernel_id": "65471"}, {"ref": "trevorlindsay/notebook-96b64eaa0f1e7fd8f94e", "kernel_id": "64525"}, {"ref": "trevorlindsay/notebook-304ee667ae1cb5888d66", "kernel_id": "64415"}, {"ref": "trevorlindsay/notebook-a1c2d5499479d0e45c6e", "kernel_id": "64436"}, {"ref": "asksaurav/data-exploration-and-visualisations", "kernel_id": "63371"}, {"ref": "wolfmessing/my-first-script", "kernel_id": "72800"}, {"ref": "gradient88/notebook-5b8fb30175c5e0a72bd2", "kernel_id": "74351"}, {"ref": "gradient88/notebook-6d8a05d255209caab265", "kernel_id": "74503"}, {"ref": "gradient88/eeee111", "kernel_id": "74499"}, {"ref": "serenajiang/notebookea4eace7d1", "kernel_id": "108757"}, {"ref": "johnnytorres83/exploratory-analysis", "kernel_id": "71563"}, {"ref": "xunqiu/notebook-56c021461cce5254ce0e", "kernel_id": "73486"}, {"ref": "doktrlist/notebook-44e25b0a7e3b40ecc7cc", "kernel_id": "74119"}, {"ref": "doktrlist/notebook-b988834fc306d5d6766b", "kernel_id": "74106"}, {"ref": "halshater/on-weeks", "kernel_id": "63135"}, {"ref": "chinazm/notebook-4c19bc63812d34fb1f4c", "kernel_id": "62575"}, {"ref": "caldas/notebook-74d23efb545bbf1893f5", "kernel_id": "66359"}, {"ref": "caldas/data-exploration", "kernel_id": "66360"}, {"ref": "caldas/notebook-d2ff0c71f70476889d5f", "kernel_id": "66304"}, {"ref": "caldas/notebook-54d897f809e8ae53be7c", "kernel_id": "66316"}, {"ref": "caldas/notebook-5e57310dc11b0d2bcc1d", "kernel_id": "66317"}, {"ref": "caldas/notebook-f3b4c8d9af53d7ec8afe", "kernel_id": "72860"}, {"ref": "bribbking/notebook-daafdc09c0e2486329c9", "kernel_id": "62422"}, {"ref": "jashimbd/notebook-13e9ce188515164767b4", "kernel_id": "69704"}, {"ref": "jashimbd/predicting-check-ins", "kernel_id": "69705"}, {"ref": "jashimbd/notebook-e14f85f88c783e37cdc4", "kernel_id": "69518"}, {"ref": "jashimbd/notebook-da5e4b96d5e3a41978c5", "kernel_id": "69126"}, {"ref": "jashimbd/notebook-843c2787244b8f92cfaa", "kernel_id": "69127"}, {"ref": "akashshekara/notebook-05811deebec84d080935", "kernel_id": "70553"}, {"ref": "themoon/notebook-36b4e0d0a35ee9509334", "kernel_id": "62361"}, {"ref": "waynelin/knn-and-probability-lookup-script", "kernel_id": "75502"}, {"ref": "takeshichka/script-competition-facebook-vi", "kernel_id": "74779"}, {"ref": "davidalarrea/notebook-9740ef42d377625b6e33", "kernel_id": "62506"}, {"ref": "davidalarrea/exploration", "kernel_id": "62503"}, {"ref": "davidalarrea/notebook-ea411f65efe5261a933e", "kernel_id": "62530"}, {"ref": "devnil1030/notebook-bb0b3ff4c352c7d8717c", "kernel_id": "66651"}, {"ref": "starwar/lasttry3", "kernel_id": "71526"}, {"ref": "starwar/lasttry2", "kernel_id": "71524"}, {"ref": "starwar/lasttry", "kernel_id": "71291"}, {"ref": "starwar/trial4", "kernel_id": "71111"}, {"ref": "starwar/notebook-4192fd57d6234aab4876", "kernel_id": "71105"}, {"ref": "starwar/notebook-e6ec8cd19afc223c6e81", "kernel_id": "71063"}, {"ref": "starwar/trial-1", "kernel_id": "71029"}, {"ref": "starwar/newbee", "kernel_id": "71162"}, {"ref": "starwar/notebook-5c6a9e9f209edf101545", "kernel_id": "71170"}, {"ref": "starwar/logistic-regression-to-find-knn-weights", "kernel_id": "75457"}, {"ref": "starwar/modified-grid-knn-change3", "kernel_id": "75866"}, {"ref": "starwar/newscript2", "kernel_id": "76158"}, {"ref": "kjacks21/notebook-3883e5987e447afc1dcc", "kernel_id": "64136"}, {"ref": "kjacks21/notebook-5915d200c57ad7de3e8e", "kernel_id": "64144"}, {"ref": "ishaanv/notebook-790bbe8749982b20a2ae", "kernel_id": "72130"}, {"ref": "ishaanv/notebook-cfe9c486321ac54b8894", "kernel_id": "72131"}, {"ref": "ishaanv/grid-knn", "kernel_id": "72132"}, {"ref": "ishaanv/quick-look-at-the-data", "kernel_id": "103220"}, {"ref": "colonwq/notebook-c39e4f7c83d1f70d3d9c", "kernel_id": "67624"}, {"ref": "hattie/notebook-b9d949595cabc9cfd48d", "kernel_id": "69381"}, {"ref": "hattie/random-forest-on-a-few-blocks", "kernel_id": "69382"}, {"ref": "manojnambiar/notebook-abbab1a7759beda1868c", "kernel_id": "62289"}, {"ref": "isacarnekvist/notebook-fe8399743859983d48d3", "kernel_id": "62792"}, {"ref": "suryavan/notebook-0d074a2fe887a2a455d5", "kernel_id": "73182"}, {"ref": "suryavan/knn-and-probability-lookup-script", "kernel_id": "75232"}, {"ref": "suryavan/event-count-per-place-in-test-data", "kernel_id": "67061"}, {"ref": "suryavan/day-and-month-patterns-in-timestamp", "kernel_id": "64535"}, {"ref": "suryavan/notebook-e321d00ba31472ce1dfe", "kernel_id": "64538"}, {"ref": "suryavan/notebook-495c3769bfe057a81de5", "kernel_id": "64539"}, {"ref": "suryavan/notebook-5a15b36b62a817500aab", "kernel_id": "64540"}, {"ref": "suryavan/notebook-660ea1bcb2283fc175bd", "kernel_id": "64543"}, {"ref": "suryavan/notebook-36d329ccb9e0fa909f50", "kernel_id": "64514"}, {"ref": "arjun1994/notebook-e94707b9da3916a24d26", "kernel_id": "71929"}, {"ref": "atat84/notebook-e40e0237c1b3c66052ad", "kernel_id": "64143"}, {"ref": "piyushmishra/notebook-9b6a6aa63bafa629e409", "kernel_id": "63392"}, {"ref": "abeedam/notebook-4942eb284e90c49fdd31", "kernel_id": "64422"}, {"ref": "abeedam/notebook-8f3777df4278e69fac54", "kernel_id": "64706"}, {"ref": "abeedam/my-script-01", "kernel_id": "64707"}, {"ref": "beyondbeneath/testing", "kernel_id": "62996"}, {"ref": "beyondbeneath/notebook-a2cb6008b119bf7d368b", "kernel_id": "62711"}, {"ref": "beyondbeneath/data-exploration-and-visualisations", "kernel_id": "62690"}, {"ref": "beyondbeneath/notebook-0d58d7fa0893ef55392e", "kernel_id": "62693"}, {"ref": "beyondbeneath/notebook-ead2cdcd5da5a40500dc", "kernel_id": "62625"}, {"ref": "mlbeaver/testing", "kernel_id": "70035"}, {"ref": "hardyce/testing-mapk", "kernel_id": "76209"}, {"ref": "hardyce/xgb-fb", "kernel_id": "72199"}, {"ref": "hardyce/notebook-0a6a7a2060f91d5f3a14", "kernel_id": "71690"}, {"ref": "hardyce/fb-knn", "kernel_id": "71608"}, {"ref": "hardyce/plots-with-accuracy-based-alpha", "kernel_id": "69020"}, {"ref": "hardyce/notebook-0e27a5263565d3cf18e6", "kernel_id": "69024"}, {"ref": "swordfishray/notebook-62c0ff9e80aa6c99692e", "kernel_id": "71247"}, {"ref": "yangminreal/notebook-858bd9ab6df6c350c6b3", "kernel_id": "75051"}, {"ref": "yangminreal/notebook-58f0d1af112825e86d52", "kernel_id": "75052"}, {"ref": "yangminreal/notebook-8f599020cc62fd8b0a61", "kernel_id": "75053"}, {"ref": "yangminreal/notebook-14ca33ad75e071d613bc", "kernel_id": "75062"}, {"ref": "yangminreal/notebook-7e0af82b4c8754e8728e", "kernel_id": "75056"}, {"ref": "yangminreal/notebook-c26a0877191793054126", "kernel_id": "75057"}, {"ref": "yangminreal/test-python", "kernel_id": "74810"}, {"ref": "yangminreal/notebook-14abb6282102780f43aa", "kernel_id": "74811"}, {"ref": "victorslira/notebook-7f6b417b971728e4547a", "kernel_id": "64050"}, {"ref": "swissj74/data-exploration-and-visualisations", "kernel_id": "63818"}, {"ref": "mengweid/notebook-aa391c48b73ebbbe9d59", "kernel_id": "73988"}, {"ref": "anokas/notebook-8edd971d208e486b142f", "kernel_id": "69477"}, {"ref": "anokas/mad-scripts-battle-analysis", "kernel_id": "62865"}, {"ref": "anokas/notebook-cf51b3b53fb3b01e5006", "kernel_id": "62184"}, {"ref": "anokas/quick-look-at-the-data", "kernel_id": "62161"}, {"ref": "jsab16/exploration", "kernel_id": "62242"}, {"ref": "jsab16/on-time", "kernel_id": "62250"}, {"ref": "jsab16/notebook-866a0bb251b0c1981fed", "kernel_id": "62269"}, {"ref": "jsab16/notebook-26dfa92538b24cefe1e9", "kernel_id": "62253"}, {"ref": "jsab16/notebook-1f7bfb0f6287f2567d85", "kernel_id": "62255"}, {"ref": "jsab16/notebook-1cccc957a1071d12662c", "kernel_id": "62256"}, {"ref": "jsab16/msb-with-validation-v2-0", "kernel_id": "64510"}, {"ref": "jsab16/notebook-003074f96692445f5264", "kernel_id": "62281"}, {"ref": "jsab16/notebook-184e5997b9d49abd8958", "kernel_id": "62282"}, {"ref": "jsab16/notebook-1a412a7c23823ef5b92b", "kernel_id": "66976"}, {"ref": "tomvars/facebook-first-script", "kernel_id": "65161"}, {"ref": "praveenhegde/time-and-no-time", "kernel_id": "64011"}, {"ref": "praveenhegde/notebook-cd29f81ca6258af61516", "kernel_id": "62403"}, {"ref": "praveenhegde/10-nearest-neighbour", "kernel_id": "62339"}, {"ref": "praveenhegde/location-cluster", "kernel_id": "63638"}, {"ref": "kdeslo/notebook-f645bab16da0b5c8e3f0", "kernel_id": "63272"}, {"ref": "aditysha/notebook-53c6d82a8b4587483a5e", "kernel_id": "62343"}, {"ref": "aditysha/notebook-720a590f44e208064cc6", "kernel_id": "62335"}, {"ref": "aditysha/notebook-367df91b5e5576555c7f", "kernel_id": "62852"}, {"ref": "aditysha/notebook-0e700658a4f02f31cd84", "kernel_id": "62786"}, {"ref": "agarciaramirez1/notebook-893c3e2374cf9f40e02d", "kernel_id": "63000"}, {"ref": "karandewan/facebook-predict-checkins", "kernel_id": "67830"}, {"ref": "karandewan/notebook-bb83cd9234c4cd8505e9", "kernel_id": "67838"}, {"ref": "sikaiwang/timestamp-structure", "kernel_id": "68449"}, {"ref": "sikaiwang/quick-look-at-the-data", "kernel_id": "68450"}, {"ref": "sikaiwang/notebook-c505f10cc23246663a02", "kernel_id": "70615"}, {"ref": "amdouni/gridknn", "kernel_id": "73588"}, {"ref": "viswaraavi/notebook-79cf0ee14bdfd21dd874", "kernel_id": "66952"}, {"ref": "marocaou/notebook-0db7dcba0386d08c9e39", "kernel_id": "74799"}, {"ref": "marocaou/notebook-beb48c54b4e4f690da1d", "kernel_id": "73406"}, {"ref": "marocaou/notebook-ef67e5a497e7be5b5b17", "kernel_id": "73394"}, {"ref": "hswater1/notebook-4247e97f741fe4050ea7", "kernel_id": "73208"}, {"ref": "hswater1/notebook-c3d74c5614fdb802a6f2", "kernel_id": "72684"}, {"ref": "yeonhoo92/notebook-04bcaffa58b431b93cfa", "kernel_id": "65776"}, {"ref": "yeonhoo92/data-exploration-and-visualisations", "kernel_id": "65796"}, {"ref": "denysbondar/visualise-check-ins-over-time-gif", "kernel_id": "66905"}, {"ref": "vrkrishn/notebook-887a17ca976d15d932f3", "kernel_id": "67097"}, {"ref": "vrkrishn/notebook-ef38fb539d35d584b750", "kernel_id": "67098"}, {"ref": "vrkrishn/notebook-e14dab2ac039d6557468", "kernel_id": "67101"}, {"ref": "vrkrishn/notebook-4d4ad05f73a48913edc2", "kernel_id": "67105"}, {"ref": "vrkrishn/notebook-f67e22c1b327b380929e", "kernel_id": "65734"}, {"ref": "kennmyers/notebook-d6d0ea16cf7ef1728667", "kernel_id": "63524"}, {"ref": "kennmyers/exploring-accuracy", "kernel_id": "63525"}, {"ref": "hadigoody/notebook-0dd978302c12c2da9250", "kernel_id": "63627"}, {"ref": "hadigoody/notebook-c2a2fd42c160c83f7581", "kernel_id": "63777"}, {"ref": "hadigoody/notebook-5f1aad6fe2e928154eac", "kernel_id": "63760"}, {"ref": "hadigoody/notebook-6e309df837c01a665605", "kernel_id": "63764"}, {"ref": "hadigoody/day-of-week-time-of-day", "kernel_id": "63363"}, {"ref": "ludota/timestamp-structure", "kernel_id": "63253"}, {"ref": "ma350365879/a-tutorial-to-rank-top-30", "kernel_id": "66120"}, {"ref": "ma350365879/script-competition-facebook-v", "kernel_id": "72425"}, {"ref": "ma350365879/notebook-e7b638874b8af342883b", "kernel_id": "72394"}, {"ref": "ma350365879/gaussian", "kernel_id": "72160"}, {"ref": "ma350365879/grid-knn-add-accuracy", "kernel_id": "72064"}, {"ref": "ma350365879/notebook-9b3fd8cb97b8d720afcc", "kernel_id": "74398"}, {"ref": "ma350365879/notebook-7c1edfb34a3c336748c8", "kernel_id": "74399"}, {"ref": "ma350365879/notebook-7cb65f3fe42b2f8fb791", "kernel_id": "74400"}, {"ref": "ma350365879/outlier-analysis", "kernel_id": "74395"}, {"ref": "ma350365879/notebook-76a192906143cd37c11e", "kernel_id": "75320"}, {"ref": "andewjohnson/notebook-ec2a9c42bc06906c68b5", "kernel_id": "70062"}, {"ref": "celticmajora/mad-scripts-battle-v2", "kernel_id": "63153"}, {"ref": "sagol79/notebook-7e999cdb41846433a6de", "kernel_id": "70813"}, {"ref": "matallan/another-way-to-know-the-time-definition", "kernel_id": "63099"}, {"ref": "krishnamadgula/python-starter-0-55", "kernel_id": "66897"}, {"ref": "toshinoue/random-forest-on-a-few-blocks", "kernel_id": "67481"}, {"ref": "aeithne/sem-mundial", "kernel_id": "64350"}, {"ref": "akankshashaktia/notebook-41093fbd97763fd9d733", "kernel_id": "69043"}, {"ref": "akankshashaktia/notebook-f3aae6706e33faad0f12", "kernel_id": "68993"}, {"ref": "akankshashaktia/first", "kernel_id": "69035"}, {"ref": "akankshashaktia/notebook-13064f8a6dce6c67f56d", "kernel_id": "69037"}, {"ref": "tonyzhangrt/notebook-638b6bd8a05116d22125", "kernel_id": "76177"}, {"ref": "tonyzhangrt/notebook-f2e0e664b748fed5bc8b", "kernel_id": "73911"}, {"ref": "marekkowalski/notebook-58bfb8a487e96b6ac2ee", "kernel_id": "65028"}, {"ref": "marekkowalski/notebook-59b9c423d67d19d190e9", "kernel_id": "65029"}, {"ref": "marekkowalski/notebook-c7b0289c9c5703a393cb", "kernel_id": "63941"}, {"ref": "marekkowalski/notebook-76d4e306060f83599551", "kernel_id": "63942"}, {"ref": "marekkowalski/accuracy", "kernel_id": "63932"}, {"ref": "lishan/notebook-5472e4c3dcc34bd2b6c3", "kernel_id": "71734"}, {"ref": "lishan/notebook-485f4c76d29d80493585", "kernel_id": "71735"}, {"ref": "lishan/notebook-8101f8723f835d7211fb", "kernel_id": "71769"}, {"ref": "lishan/notebook-018d438b3f4dc806b5d5", "kernel_id": "71772"}, {"ref": "lishan/notebook-6aa66473469b390ef1ca", "kernel_id": "71757"}, {"ref": "lishan/notebook-b28e479b4342524de8fc", "kernel_id": "71758"}, {"ref": "lishan/notebook-ecbea75e4d2880051b89", "kernel_id": "71746"}, {"ref": "lishan/notebook-75c8556bd3bc6dc079e3", "kernel_id": "71747"}, {"ref": "lishan/data-exploration-fb", "kernel_id": "71512"}, {"ref": "lishan/notebook-c823d9bd9cd0e3aa422f", "kernel_id": "71573"}, {"ref": "lishan/calculate-feature-weight", "kernel_id": "75822"}, {"ref": "lishan/grid-knn-inherit-from-many-others", "kernel_id": "75622"}, {"ref": "lishan/notebook-6296d1a665ac25fbfea6", "kernel_id": "74756"}, {"ref": "lishan/notebook-54f478bf8881f113dd13", "kernel_id": "74710"}, {"ref": "lishan/notebook-6795e6d6f73d41ac75f7", "kernel_id": "74713"}, {"ref": "goodname1234/notebook-c23569b717753f19991d", "kernel_id": "63116"}, {"ref": "yyyyykx/notebook-90dfac5f5c6f289cf6ba", "kernel_id": "76194"}, {"ref": "almode/notebook-5e9d1b62f6c0e7f82b43", "kernel_id": "62207"}, {"ref": "jonlee317/checkdata", "kernel_id": "62178"}, {"ref": "mikessoldier/data-exploration-and-visualisations", "kernel_id": "64664"}, {"ref": "valyriansteel/notebook-4e78eb5a7f92bbb4254f", "kernel_id": "72241"}, {"ref": "ramirezamayas/another-way-to-know-the-time-definition", "kernel_id": "63628"}, {"ref": "ramirezamayas/notebook-9c054e60deac327fa98c", "kernel_id": "63629"}, {"ref": "arthurlu/notebook-48ccc659eb3bd108d76a", "kernel_id": "72285"}, {"ref": "arthurlu/notebook-ca7c3cbfb9bffdc96441", "kernel_id": "72301"}, {"ref": "arthurlu/notebook-1f26caa11fa7e7652050", "kernel_id": "73197"}, {"ref": "arthurlu/notebook-3a82fe3d956bc8e92f31", "kernel_id": "73189"}, {"ref": "chrisdick14/notebook-c5a605da53c7403823b0", "kernel_id": "65803"}, {"ref": "chrisdick14/notebook-4e76eecec94640b54134", "kernel_id": "63537"}, {"ref": "chrisdick14/notebook-3868419547f6f7555c30", "kernel_id": "63874"}, {"ref": "chrisdick14/notebook-16d9651e58f9f992cec9", "kernel_id": "63853"}, {"ref": "kiddi89/random-forest-and-knn-on-a-few-blocks", "kernel_id": "76156"}, {"ref": "jane522/exploring-data", "kernel_id": "64021"}, {"ref": "lemonadevv/notebook-611eb6807571c3044367", "kernel_id": "80055"}, {"ref": "leonlu/another-way-to-know-the-time-definition", "kernel_id": "62745"}, {"ref": "leonlu/notebook-fb33f6b2f4094ef1d3ed", "kernel_id": "62754"}, {"ref": "leonlu/notebook-2b1bd13e8fcdafc19eba", "kernel_id": "62749"}, {"ref": "leonlu/notebook-fbadd612b68bb5b6bab6", "kernel_id": "62750"}, {"ref": "leonlu/notebook-145e69990fcd591eb89a", "kernel_id": "73152"}, {"ref": "leonlu/notebook-e4ffd14352688016b502", "kernel_id": "73126"}, {"ref": "freyman/facebook-v-competition", "kernel_id": "177225"}, {"ref": "freyman/facebook-5-competition", "kernel_id": "177218"}, {"ref": "luokai/kg-0818-grid-knn", "kernel_id": "89733"}, {"ref": "siddharthc/notebook-f35357bdb66df0e700dc", "kernel_id": "72919"}, {"ref": "mkakarla/notebook-8ca01b521e6eaf9123fc", "kernel_id": "69122"}, {"ref": "mkakarla/notebook-14257b07c39ca423a0cd", "kernel_id": "69123"}, {"ref": "mkakarla/notebook-8f953bf9568962c797fd", "kernel_id": "69124"}, {"ref": "mkakarla/notebook-8410abdfa8299d7b8dea", "kernel_id": "69119"}, {"ref": "mkakarla/kaggle", "kernel_id": "69135"}, {"ref": "sklotz/notebook-d7be45099c8667bfa7bd", "kernel_id": "65456"}, {"ref": "sklotz/timestamp-offset-analysis", "kernel_id": "65453"}, {"ref": "sklotz/notebook-5f5caa43ebc5c194d789", "kernel_id": "65454"}, {"ref": "sino30535/notebook-e256a3e88d0b3261e6b1", "kernel_id": "72922"}, {"ref": "sino30535/facebook-v-script", "kernel_id": "71995"}, {"ref": "sino30535/notebook-c548fb11818bb0f079ef", "kernel_id": "71996"}, {"ref": "zeyingguo/notebook-0b48a41e1e692a5a7498", "kernel_id": "73338"}, {"ref": "zeyingguo/script", "kernel_id": "74006"}, {"ref": "zeyingguo/notebook-32d013b274acc378ba63", "kernel_id": "74007"}, {"ref": "zeyingguo/notebook-ab93c1e674a0346ee58f", "kernel_id": "74626"}, {"ref": "zeyingguo/notebook-5faa32d0703d0cc102e9", "kernel_id": "76542"}, {"ref": "bharathipriyaa/facebook-kaggle-ml-bharathi", "kernel_id": "66044"}, {"ref": "savinvarshney/notebook-f227b8a894f6154842a6", "kernel_id": "65553"}, {"ref": "rafaelmm/notebook-0e668958414f87cf5ef2", "kernel_id": "71182"}, {"ref": "rafaelmm/modified-grid-knn-v0-1", "kernel_id": "76093"}, {"ref": "martijnde/notebook-7444ecacc0a117218469", "kernel_id": "65225"}, {"ref": "hycu201401055/simple-r-0-45836", "kernel_id": "64497"}, {"ref": "cmauri/on-time", "kernel_id": "62483"}, {"ref": "cmauri/notebook-005303ed5657f5a07493", "kernel_id": "62771"}, {"ref": "jlrivero60/exploring-data", "kernel_id": "62816"}, {"ref": "chekunkov/notebook-f04166100d3d5e7b4efc", "kernel_id": "67084"}, {"ref": "chekunkov/first-notebook", "kernel_id": "67085"}, {"ref": "nareshvemula/notebook-54664c60c4d5791aeb29", "kernel_id": "63564"}, {"ref": "jihyeseo/fb-chck-in-predict-eda", "kernel_id": "957191"}, {"ref": "rpertusa/overview-data", "kernel_id": "71641"}, {"ref": "omniscientist/knn-experiments-for-facebook", "kernel_id": "88085"}, {"ref": "bterra23/beginner", "kernel_id": "63879"}, {"ref": "leozhuo/accuracy", "kernel_id": "74570"}, {"ref": "nghyun/notebook-a679ce8496e7eb0dbff7", "kernel_id": "75734"}, {"ref": "nghyun/notebook-74ce01194c378cea4f85", "kernel_id": "75979"}, {"ref": "nghyun/notebook-b9302a4e992bbd1358ce", "kernel_id": "75717"}, {"ref": "nghyun/notebook-6072a5690c5b4fed10e4", "kernel_id": "75723"}, {"ref": "einsqiang/notebook-c4cb035bc9bbfbd827a2", "kernel_id": "65979"}, {"ref": "gabdelisi51/notebook-142a26811d11e8472174", "kernel_id": "62125"}, {"ref": "shingchuang/notebook-8a3729d8a3eb95421338", "kernel_id": "73082"}, {"ref": "shingchuang/notebook-0c013cb987735f8644af", "kernel_id": "73177"}, {"ref": "shingchuang/notebook-21ab578c98c0aa24d308", "kernel_id": "73179"}, {"ref": "shingchuang/notebook-770c134041ed13cf7d3f", "kernel_id": "73196"}, {"ref": "nikhilkishore18/notebook-04f371aae0d3fc539bf9", "kernel_id": "69380"}, {"ref": "nikhilkishore18/notebook-9435d5696c62283c7473", "kernel_id": "69345"}, {"ref": "nikhilkishore18/notebook-974a88498621069427c7", "kernel_id": "74962"}, {"ref": "nikhilkishore18/notebook-a75bda2f8fa04b79cec0", "kernel_id": "73830"}, {"ref": "nikhilkishore18/randomforestmodel", "kernel_id": "73816"}, {"ref": "nikhilkishore18/notebook-49376bef23492e1fb8b5", "kernel_id": "73821"}, {"ref": "nikhilkishore18/notebook-64580d33dde9b7f497ef", "kernel_id": "73822"}, {"ref": "nikhilkishore18/notebook-190f2ad7d8d1f354a2c2", "kernel_id": "73823"}, {"ref": "nikhilkishore18/notebook-87875212565b0e23ba33", "kernel_id": "73825"}, {"ref": "badat0202/grid-knn", "kernel_id": "70742"}, {"ref": "badat0202/notebook-78574afa4ebe29d09b46", "kernel_id": "70754"}, {"ref": "badat0202/notebook-a6f66300f06795de46f8", "kernel_id": "70756"}, {"ref": "badat0202/testing-101", "kernel_id": "70751"}, {"ref": "badat0202/notebook-b648e68963794a9ca1de", "kernel_id": "70764"}, {"ref": "badat0202/notebook-0721cc5cd21fe90750de", "kernel_id": "70774"}, {"ref": "badat0202/notebook-1d59c05e48414a546676", "kernel_id": "70760"}, {"ref": "badat0202/notebook-a3ffc30370fc5036f64c", "kernel_id": "70766"}, {"ref": "badat0202/notebook-c55411ce06b5c3e6bf13", "kernel_id": "70767"}, {"ref": "badat0202/notebook-522c9f50107d973ba57f", "kernel_id": "70768"}, {"ref": "badat0202/quick-look-at-the-data", "kernel_id": "70313"}, {"ref": "badat0202/notebook-be3252708ca17b44dd87", "kernel_id": "71805"}, {"ref": "badat0202/playground", "kernel_id": "71947"}, {"ref": "nachilieder/fb-algorithm", "kernel_id": "67988"}, {"ref": "rshekhar2/notebook-71753feb811d7178f76e", "kernel_id": "64765"}, {"ref": "rshekhar2/notebook-a107114158406a988131", "kernel_id": "64766"}, {"ref": "rshekhar2/notebook-28d234fcfb64830c2575", "kernel_id": "64767"}, {"ref": "rshekhar2/xgboost-cv-example-with-small-bug", "kernel_id": "70214"}, {"ref": "rshekhar2/bayesian-hyperparameter-optimization", "kernel_id": "74972"}, {"ref": "kabbab/notebook-b5d076456f7674874683", "kernel_id": "62898"}, {"ref": "kabbab/notebook-94887f6a8c929a7ad001", "kernel_id": "62903"}, {"ref": "qpepougsdf7/logistic-regression-to-find-knn-weights", "kernel_id": "75589"}, {"ref": "rishi1393/notebook-c58614b4f44b964f7fda", "kernel_id": "62685"}, {"ref": "rishi1393/notebook-95cc7592cf54f1877a66", "kernel_id": "63630"}, {"ref": "mengtihlam/notebook-58c6f2476e3f97bfaacb", "kernel_id": "65761"}, {"ref": "mengtihlam/tests-01", "kernel_id": "65762"}, {"ref": "vijay2016/notebook-3beb4c92ea7b2272a4c7", "kernel_id": "76617"}, {"ref": "vijay2016/grid-knn", "kernel_id": "76618"}, {"ref": "vijay2016/quick-data-exploration", "kernel_id": "75395"}, {"ref": "mustapha1992/facebook-v-prediction", "kernel_id": "64572"}, {"ref": "yupenggao/notebook-a9384b6f753c34c8e0c2", "kernel_id": "69584"}, {"ref": "sihuinchenko/notebook-777f6b765c3e3da78e31", "kernel_id": "62459"}, {"ref": "yermouth/notebook-258f8a70991e98f8b347", "kernel_id": "62367"}, {"ref": "yermouth/testing", "kernel_id": "62368"}, {"ref": "yermouth/notebook-36aa7fe86fd8dbb64780", "kernel_id": "62370"}, {"ref": "yermouth/notebook-bb967391019e0119d8b5", "kernel_id": "62372"}, {"ref": "yermouth/quick-look-at-the-data", "kernel_id": "62510"}, {"ref": "yermouth/notebook-0f6ce9a36399b7b4a790", "kernel_id": "62514"}, {"ref": "yermouth/notebook-254758751709fcdf55a6", "kernel_id": "62498"}, {"ref": "yermouth/notebook-d1cbe1aecbdab2ff7194", "kernel_id": "62532"}, {"ref": "yermouth/notebook-083e40d4c59c23d19106", "kernel_id": "62521"}, {"ref": "yermouth/notebook-305c8d4c37d7b9da96e3", "kernel_id": "62519"}, {"ref": "yermouth/notebook-e9178e33755664b34db4", "kernel_id": "62538"}, {"ref": "thanhnh2711/notebook-fd0b4f9c150cb8b5641f", "kernel_id": "71164"}, {"ref": "jyyang/random-forest", "kernel_id": "70347"}, {"ref": "rahimi/facebook-pci2", "kernel_id": "75532"}, {"ref": "rahimi/modified-grid-knn-change", "kernel_id": "75796"}, {"ref": "rahimi/modified-grid-knn-change2", "kernel_id": "75805"}, {"ref": "rahimi/modified-grid-knn-change3", "kernel_id": "75811"}, {"ref": "rahimi/modified-grid-knn", "kernel_id": "75995"}, {"ref": "gweijie/notebookcfc23830e9", "kernel_id": "119696"}, {"ref": "fateh288/grid-knn", "kernel_id": "74364"}, {"ref": "yadavsarthak/mad-scripts-battle-z", "kernel_id": "75157"}, {"ref": "yadavsarthak/my-first-script", "kernel_id": "75396"}, {"ref": "yadavsarthak/just-trying", "kernel_id": "75398"}, {"ref": "yadavsarthak/newscript", "kernel_id": "76018"}, {"ref": "yadavsarthak/newscript2", "kernel_id": "76101"}, {"ref": "yadavsarthak/minute-changes", "kernel_id": "75831"}, {"ref": "yadavsarthak/notebook-d9a8b51d3e822fd678ea", "kernel_id": "63974"}, {"ref": "weibocc/notebook-25f55974c1de7b95d6b5", "kernel_id": "70898"}, {"ref": "zeraes/notebook-d49f48607e30d589783c", "kernel_id": "63424"}, {"ref": "zeraes/hypothesis-on-timing-of-drops", "kernel_id": "62945"}, {"ref": "zeraes/notebook-3c70987b7d0e3cf93846", "kernel_id": "62900"}, {"ref": "zeraes/notebook-c06b63652f02aab0b008", "kernel_id": "62895"}, {"ref": "zeraes/notebook-9ba2834704e2d52f42ea", "kernel_id": "62896"}, {"ref": "zeraes/notebook-22d239b9e0138d73d185", "kernel_id": "62151"}, {"ref": "zeraes/notebook-e019b1e3343db7d4a8d0", "kernel_id": "62210"}, {"ref": "zeraes/notebook-2d97c10e52178ea2b3f7", "kernel_id": "62196"}, {"ref": "tricky11/visualize-all-locations-for-a-place", "kernel_id": "62741"}, {"ref": "ohnozzy/first-server-script", "kernel_id": "64927"}, {"ref": "bz07004001/data-exploration", "kernel_id": "70759"}, {"ref": "arvingopi/notebook-86866a9d5383ed28d3ea", "kernel_id": "64238"}, {"ref": "arvingopi/notebook-7de86fe63e13cadeba5a", "kernel_id": "67917"}, {"ref": "arvingopi/facebook-checkin-predictions", "kernel_id": "67869"}, {"ref": "arvingopi/facebook-checkin-prediction", "kernel_id": "67858"}, {"ref": "arvingopi/notebook-b1ab0f84205490c77f91", "kernel_id": "67859"}, {"ref": "lasom13/notebook-4a8b3fab2b80cbe200d9", "kernel_id": "65115"}, {"ref": "cnheider/quick-look-at-the-data", "kernel_id": "62373"}, {"ref": "cnheider/notebook-e45ad10791536cdc8a5a", "kernel_id": "62377"}, {"ref": "cnheider/notebook-baacae26aa247f447c56", "kernel_id": "66966"}, {"ref": "rhart96/notebook-b0f559ed02c7ea3e743a", "kernel_id": "62208"}, {"ref": "yeepom/notebooka1617c3048", "kernel_id": "213284"}, {"ref": "mbevilac/notebook-4ed1308a98b65a9ff14c", "kernel_id": "63149"}, {"ref": "cwenboshi/notebook-4a8cc2f7569e102a91a9", "kernel_id": "65508"}, {"ref": "cwenboshi/notebook-62452756680e334018f9", "kernel_id": "65512"}, {"ref": "cwenboshi/notebook-9ce84db1ad5b262afa1d", "kernel_id": "65295"}, {"ref": "cwenboshi/exploring-accuracy", "kernel_id": "64083"}, {"ref": "cwenboshi/firsttry", "kernel_id": "64078"}, {"ref": "rahulreddyv/the-one-with-data", "kernel_id": "65563"}, {"ref": "rajeev921/quick-look-at-the-data", "kernel_id": "62223"}, {"ref": "phelixophy/notebook-b4640bbe1e530e713b86", "kernel_id": "63330"}, {"ref": "watts2/notebook-dcf6783157e9b5dc9f86", "kernel_id": "66331"}, {"ref": "watts2/notebook-99e6b0995c641a2c6a1c", "kernel_id": "66332"}, {"ref": "watts2/notebook-081af28784cda5b39eb3", "kernel_id": "66341"}, {"ref": "watts2/notebook-43031a4392b15d247c15", "kernel_id": "66336"}, {"ref": "watts2/notebook-fab3083a63189f550252", "kernel_id": "66320"}, {"ref": "watts2/notebook-7c0de84d81d98d0a2cb9", "kernel_id": "66323"}, {"ref": "watts2/r-xgboost-on-a-single-cell", "kernel_id": "72594"}, {"ref": "watts2/notebook-a265d17b68e5edc999cd", "kernel_id": "72583"}, {"ref": "watts2/notebook-8958dd97c325d9060b78", "kernel_id": "72591"}, {"ref": "khwunchai/exploratory-data-analysis", "kernel_id": "72717"}, {"ref": "khwunchai/notebook-fa23c2f79b23a8b59c45", "kernel_id": "72822"}, {"ref": "khwunchai/notebook-21c924357ab3e4a1bad0", "kernel_id": "72799"}, {"ref": "chitrakgupta144/notebook-e1f745b9acdfdbde9752", "kernel_id": "62646"}, {"ref": "alexmsi/data-exploration-and-visualisations", "kernel_id": "64390"}, {"ref": "overfit/grid-knn", "kernel_id": "70738"}, {"ref": "overfit/grid-plus-classifier", "kernel_id": "68663"}, {"ref": "overfit/exploring-random-forest-on-a-grid", "kernel_id": "68378"}, {"ref": "overfit/python-starter-0-55", "kernel_id": "68405"}, {"ref": "leo2610/notebook-1593622970f5cedc8485", "kernel_id": "73210"}, {"ref": "leo2610/timestamp-structure", "kernel_id": "73207"}, {"ref": "bersoy/timestamp-structure", "kernel_id": "64345"}, {"ref": "imvemuri47/data-exploration-and-visualisations-aeecf17b", "kernel_id": "88875"}, {"ref": "imvemuri47/fb-check-in-data-exploration", "kernel_id": "88876"}, {"ref": "imvemuri47/data-exploration-and-visualisations", "kernel_id": "87760"}, {"ref": "breadam/notebook-87b9f05a3f46189de2e6", "kernel_id": "62162"}, {"ref": "liuyihunter/notebook-78aa93fa8127db32a341", "kernel_id": "66788"}, {"ref": "liuyihunter/notebook-5c27194e92c203da79b7", "kernel_id": "66789"}, {"ref": "liuyihunter/this-is-an-test", "kernel_id": "66790"}, {"ref": "liuyihunter/this-is-a-test", "kernel_id": "66786"}, {"ref": "liuyihunter/notebook-3ad7bf24309c7825f56c", "kernel_id": "66847"}, {"ref": "liuyihunter/notebook-d5f958061d985cf6ea9e", "kernel_id": "66704"}, {"ref": "hongliangma/test-script2", "kernel_id": "66848"}, {"ref": "hongliangma/notebook-9e193933bfe396bd3b65", "kernel_id": "66844"}, {"ref": "hongliangma/notebook-13918c4a47359ffe71f4", "kernel_id": "66845"}, {"ref": "hongliangma/notebook-accff8c6aff0bf5ace49", "kernel_id": "66846"}, {"ref": "dilipkomar/notebook-b77ed0575018222da765", "kernel_id": "63976"}, {"ref": "dilipkomar/notebook-67830842f8619fa1090a", "kernel_id": "64006"}, {"ref": "dilipkomar/notebook-4edd4e244a214b633eca", "kernel_id": "63993"}, {"ref": "dilipkomar/notebook-05bf61eaa5599ab301b1", "kernel_id": "63018"}, {"ref": "dilipkomar/pandas", "kernel_id": "63020"}, {"ref": "dilipkomar/notebook-3ada6e350e4dff522641", "kernel_id": "63066"}, {"ref": "dilipkomar/notebook-371db7c719b3b638a63e", "kernel_id": "63614"}, {"ref": "dilipkomar/notebook-d31eaf7e41b268b26fba", "kernel_id": "63623"}, {"ref": "dilipkomar/notebook-adf1425769ad520effa8", "kernel_id": "63082"}, {"ref": "dilipkomar/notebook-72ea7e5e6403da73150d", "kernel_id": "63140"}, {"ref": "sanesanjay/notebook-e518bfe9a92a2d096060", "kernel_id": "62683"}, {"ref": "leosellam/dataexploration-py", "kernel_id": "63536"}, {"ref": "narumishigihara/notebook-f2b7bac7eddffdb76c77", "kernel_id": "62363"}, {"ref": "albertlu/notebook-7419ae375ea174eb7574", "kernel_id": "71044"}, {"ref": "vivi609/notebook-35fb0a280fdfb5ee876e", "kernel_id": "63637"}, {"ref": "ritika26/notebook-b8703dcc69b6dceb81f4", "kernel_id": "77632"}, {"ref": "sdcsfish/notebook-fe191d93c93520f6a3b1", "kernel_id": "74260"}, {"ref": "uneedfighting/notebook-594374b428cda409b02e", "kernel_id": "74035"}, {"ref": "joerenner/notebook-c2ef3a7f61c7ec24e113", "kernel_id": "62327"}, {"ref": "swatipatel/notebook-6a1a3b6941e57d980523", "kernel_id": "62616"}, {"ref": "swatipatel/test-view", "kernel_id": "62231"}, {"ref": "andersonk/timestamps-structure", "kernel_id": "62890"}, {"ref": "andersonk/notebook-3754d26e48580fcebe03", "kernel_id": "63600"}, {"ref": "senorcampos/notebook-3f7c74fed6cc839d10c1", "kernel_id": "62652"}, {"ref": "senorcampos/notebook-a536daad2d83f628cee6", "kernel_id": "62536"}, {"ref": "senorcampos/notebook-48bd1725d306f4ce3a7e", "kernel_id": "62489"}, {"ref": "senorcampos/on-weeks", "kernel_id": "62490"}, {"ref": "blizzardsnowball/notebook-7fa8f9c25c4e73681a6a", "kernel_id": "65269"}, {"ref": "penkonn/another-way-to-know-the-time-definition", "kernel_id": "63599"}, {"ref": "penkonn/facebook-x-vs-y-visualization", "kernel_id": "65361"}, {"ref": "koohyh/notebook-0a52f4d241dfe1dd1b50", "kernel_id": "62791"}, {"ref": "amilgeorge/test1", "kernel_id": "62824"}, {"ref": "amilgeorge/notebook-d749934d0c9f297b7b19", "kernel_id": "62827"}, {"ref": "tomoyuki/another-way-to-know-the-time-definition", "kernel_id": "67238"}, {"ref": "hitheone/explore-data-place-are", "kernel_id": "63315"}, {"ref": "linxiao/notebook-b2dbb32250c813634ff7", "kernel_id": "73185"}, {"ref": "mightyroy/testing-first", "kernel_id": "63430"}, {"ref": "mightyroy/notebook-0f45c6e3f09833b52226", "kernel_id": "63545"}, {"ref": "mightyroy/notebook-cef3e12b134e7d6f7179", "kernel_id": "63546"}, {"ref": "mightyroy/facebook-runner", "kernel_id": "63547"}, {"ref": "mightyroy/notebook-83725310bd7e2d70142a", "kernel_id": "63554"}, {"ref": "mightyroy/notebook-1d8e6b568d7b3b2da77f", "kernel_id": "63555"}, {"ref": "mightyroy/notebook-5c6612f936d3ac779a60", "kernel_id": "63562"}, {"ref": "mightyroy/notebook-182b7f0f57d664e47536", "kernel_id": "63541"}, {"ref": "rayed19/facebook-script", "kernel_id": "66086"}, {"ref": "rayed19/notebook-0ef94dae5d67d0603445", "kernel_id": "66084"}, {"ref": "rayed19/notebook-caba021699f01c2e2de7", "kernel_id": "66079"}, {"ref": "rajat8878/random-forest-on-small-block", "kernel_id": "74807"}, {"ref": "leeaaron326/notebook-b9298bf44dfc5d5ff829", "kernel_id": "65391"}, {"ref": "leeaaron326/notebook-7824093c5cea1d065521", "kernel_id": "65392"}, {"ref": "zenabk/firstscriptinpython", "kernel_id": "65962"}, {"ref": "ask417/notebook-c7c89872fa8bea764084", "kernel_id": "77267"}, {"ref": "nitink12/fb-using-knn", "kernel_id": "75430"}, {"ref": "nitink12/notebook-62d4bc9ca53afe51e166", "kernel_id": "74488"}, {"ref": "nitink12/randforesttest", "kernel_id": "74443"}, {"ref": "sofmonk/notebook-1452093f4bcfabdc880e", "kernel_id": "75103"}, {"ref": "xzhang7/test01huib", "kernel_id": "77055"}, {"ref": "datasheep/hellonotebook", "kernel_id": "75390"}, {"ref": "revenxiang/fb-check-in-data-exploration", "kernel_id": "68901"}, {"ref": "revenxiang/justa", "kernel_id": "70953"}, {"ref": "janoshoener/notebook-53dd1a793d514597d1a0", "kernel_id": "67344"}, {"ref": "janoshoener/basictest", "kernel_id": "67345"}, {"ref": "heo326/notebook-0d115d4c15a6e7179599", "kernel_id": "64719"}, {"ref": "arunsubramaniam/notebook-5a65f988beb35121e387", "kernel_id": "65158"}, {"ref": "amohyz/notebook-29b26b9a84d10ed69d73", "kernel_id": "75323"}, {"ref": "amohyz/divide-and-conquer", "kernel_id": "75324"}, {"ref": "amohyz/notebook-64e8f42d8e3ed4842ff4", "kernel_id": "75330"}, {"ref": "amohyz/notebook-3f6b6463d46ae205baf1", "kernel_id": "75331"}, {"ref": "amohyz/notebook-e758b42f2aceed1e4ea4", "kernel_id": "75332"}, {"ref": "amohyz/notebook-156d89a0217e61d45b73", "kernel_id": "75333"}, {"ref": "amohyz/notebook-7beaa460ac072f1c26ba", "kernel_id": "75334"}, {"ref": "amohyz/notebook-570eebe4900a2eb7b438", "kernel_id": "75335"}, {"ref": "amohyz/notebook-0adf7e0254896f277928", "kernel_id": "75355"}, {"ref": "amohyz/notebook-ba654b05378023d4d1a9", "kernel_id": "75337"}, {"ref": "amohyz/notebook-2ef42c2efb1b03b5b676", "kernel_id": "75341"}, {"ref": "amohyz/notebook-670fcda532c22b4ab92c", "kernel_id": "75342"}, {"ref": "amohyz/notebook-eec5611776a590bff79e", "kernel_id": "75343"}, {"ref": "amohyz/notebook-3cb3d4d6bb04fbd26b05", "kernel_id": "75345"}, {"ref": "amohyz/notebook-4fba9a4675e826a482cc", "kernel_id": "75346"}, {"ref": "amohyz/notebook-4c63604074b2adfbc1ae", "kernel_id": "75350"}, {"ref": "rtuhin/notebook-e80e4552be29c583cad1", "kernel_id": "73146"}, {"ref": "rtuhin/notebook-43ec08a6b67be44493e5", "kernel_id": "73147"}, {"ref": "rtuhin/notebook-ec09e5d7557848ad1fef", "kernel_id": "72610"}, {"ref": "rtuhin/notebook-839aac9b09b3757d66a9", "kernel_id": "72616"}, {"ref": "rtuhin/notebook-dd432efa1b75a4dd4a08", "kernel_id": "72640"}, {"ref": "rtuhin/notebook-9ad59f8d2adfb44d9452", "kernel_id": "72289"}, {"ref": "rtuhin/fb-check-ins", "kernel_id": "72290"}, {"ref": "ahmedpyarali/notebook8bf9871af8", "kernel_id": "117208"}, {"ref": "allenwhale/this-is-a-test-script", "kernel_id": "65243"}, {"ref": "mithila/notebook-4385f0c96817056d9cdf", "kernel_id": "67380"}, {"ref": "mithila/notebook-bfa9dcf6e35416f5c4b0", "kernel_id": "67382"}, {"ref": "mithila/notebook-5177029cb56522b58e27", "kernel_id": "67393"}, {"ref": "mithila/notebook-1f60f2fe5c3410062852", "kernel_id": "67396"}, {"ref": "mithila/notebook-76cb5c44d0460d2990c3", "kernel_id": "67400"}, {"ref": "mithila/notebook-9a653814c75f67800d7e", "kernel_id": "67401"}, {"ref": "mithila/notebook-6bc9114557e19d3e7031", "kernel_id": "67418"}, {"ref": "richardbanh/notebook-f2e6e2394468f3e58a18", "kernel_id": "65536"}, {"ref": "americandesi/notebook-8c124bb797d5bc7a6c5c", "kernel_id": "65814"}, {"ref": "sandeepak/notebook-eff555f95d5a2a3c2295", "kernel_id": "65961"}, {"ref": "ravijp/deleted", "kernel_id": "109894"}, {"ref": "apoorvaverma/teama", "kernel_id": "66093"}, {"ref": "abedben/first-code-on-kaggle", "kernel_id": "71635"}, {"ref": "liaolinxia/notebook-1cd9257087cc6ba45afc", "kernel_id": "66610"}, {"ref": "lmajid/notebook-ed37f57c950c0e7a3a4a", "kernel_id": "67065"}, {"ref": "topgunbcn/facebookcheckinscript", "kernel_id": "75505"}, {"ref": "topgunbcn/notebook-f7ccae7c2cb8931c4065", "kernel_id": "75508"}, {"ref": "viligabi/notebook-b9a55b5e2c403c490e71", "kernel_id": "68314"}, {"ref": "chrisgundling/notebook-71ee224296c1cae0f81e", "kernel_id": "72086"}, {"ref": "chrisgundling/notebook-54a26196120e6eb1da9c", "kernel_id": "72087"}, {"ref": "chrisgundling/grid-knn", "kernel_id": "72084"}, {"ref": "chrisgundling/anyone-else-try-using-svm", "kernel_id": "76750"}, {"ref": "chrisgundling/feature-visualization-with-matplotlib", "kernel_id": "76948"}, {"ref": "westhyena/notebook-4097698e59aee33f6656", "kernel_id": "67492"}, {"ref": "westhyena/pojpojpojpojiokpj", "kernel_id": "67493"}, {"ref": "westhyena/notebook-52b62739805a22944ef3", "kernel_id": "67494"}, {"ref": "rglebov/testnotebook", "kernel_id": "67453"}, {"ref": "matteopagliari/random-forest-on-a-few-blocks", "kernel_id": "67561"}, {"ref": "vksengr/tester", "kernel_id": "68341"}, {"ref": "panchanand/notebook-0345e0d6b319cd519cb6", "kernel_id": "67649"}, {"ref": "qinthoery/quick-look-at-the-data", "kernel_id": "70235"}, {"ref": "toonday/notebook-c4e116566f37f7dd2539", "kernel_id": "74622"}, {"ref": "toonday/notebook-a00e6f7df7df1bb64193", "kernel_id": "74618"}, {"ref": "toonday/notebook-2d1ae2ee923abfea80fb", "kernel_id": "74619"}, {"ref": "toonday/notebook-e4567ec01cf8ec0ecafe", "kernel_id": "74620"}, {"ref": "toonday/new-new-facebook-v", "kernel_id": "74654"}, {"ref": "toonday/notebook-0e2551b5539076560e4b", "kernel_id": "74716"}, {"ref": "toonday/notebook-0140554efe60add136bf", "kernel_id": "74717"}, {"ref": "toonday/notebook-e6945e5515993615aacf", "kernel_id": "74718"}, {"ref": "toonday/notebook-bead540c3524f4ec9d5e", "kernel_id": "74719"}, {"ref": "toonday/notebook-357edd48910c4e1b8969", "kernel_id": "74968"}, {"ref": "toonday/notebook-3688c4c20d25c4093fff", "kernel_id": "74926"}, {"ref": "toonday/notebook-958bde6837e8b45684ff", "kernel_id": "74939"}, {"ref": "toonday/notebook-41c728cbae674131b4f1", "kernel_id": "75515"}, {"ref": "toonday/notebook-c6cb547329cc1710ef6d", "kernel_id": "75516"}, {"ref": "toonday/notebook-a6938a7f176f6fc4214a", "kernel_id": "75496"}, {"ref": "toonday/timmy-tom-fb-v", "kernel_id": "75523"}, {"ref": "toonday/notebook-0032f591844990bf1ffe", "kernel_id": "73764"}, {"ref": "toonday/notebook-e2fd4fe75c68736b9d1b", "kernel_id": "73737"}, {"ref": "toonday/notebook-06cd336c9292af689821", "kernel_id": "73730"}, {"ref": "toonday/notebook-4c20dfb42e9293374a4f", "kernel_id": "74521"}, {"ref": "toonday/facebook-v-test", "kernel_id": "74522"}, {"ref": "toonday/notebook-8438ef18080b3d533ed1", "kernel_id": "72909"}, {"ref": "toonday/notebook-6996c170bc9a3766b1d8", "kernel_id": "72910"}, {"ref": "toonday/testing-testing-facebook-v", "kernel_id": "72911"}, {"ref": "toonday/notebook-0bc20f03a916516ed9c7", "kernel_id": "73525"}, {"ref": "toonday/notebook-a8a7c0d916f8277b6290", "kernel_id": "73526"}, {"ref": "toonday/notebook-90e973b24f62567ff5df", "kernel_id": "73527"}, {"ref": "toonday/notebook-3838897f75311cd60b4b", "kernel_id": "73661"}, {"ref": "toonday/notebook-61e167fcf39512ce2fa0", "kernel_id": "73663"}, {"ref": "toonday/notebook-f256ebde5f43a8cf1a46", "kernel_id": "73664"}, {"ref": "toonday/notebook-34465cde798495acd1d2", "kernel_id": "73682"}, {"ref": "toonday/notebook-b81d89063b40c6869737", "kernel_id": "73685"}, {"ref": "toonday/notebook-ce76b2673bddd4041e20", "kernel_id": "73697"}, {"ref": "toonday/notebook-45355f7173ae5ce78301", "kernel_id": "73698"}, {"ref": "toonday/notebook-0ef4a94ffd1e13f566f6", "kernel_id": "73702"}, {"ref": "toonday/notebook-55581d0ecc52abe17c91", "kernel_id": "73717"}, {"ref": "toonday/notebook-5cb78b4f83f2adf9f349", "kernel_id": "73727"}, {"ref": "toonday/notebook-d968e86e684dfcb4a597", "kernel_id": "73655"}, {"ref": "toonday/notebook-62f8a95f0f12e95f5371", "kernel_id": "73627"}, {"ref": "toonday/notebook-49b38f5edafa0486ad52", "kernel_id": "73610"}, {"ref": "toonday/notebook-3a4b3362c8db0747f96d", "kernel_id": "73621"}, {"ref": "toonday/notebook-433c9832c1d7418e6494", "kernel_id": "73365"}, {"ref": "toonday/notebook-13e14b11194a6afabefd", "kernel_id": "73360"}, {"ref": "toonday/notebook-3632aef5dd1bc5dd7139", "kernel_id": "73361"}, {"ref": "toonday/notebook-4d56f49cc64d2a9b87e3", "kernel_id": "73362"}, {"ref": "toonday/notebook-407d0a52459316457257", "kernel_id": "73375"}, {"ref": "toonday/notebook-b2672319cc6be892e6e2", "kernel_id": "73376"}, {"ref": "toonday/notebook-e1791da6dd1bd1a02894", "kernel_id": "73464"}, {"ref": "toonday/notebook-375f9e65953e8797b767", "kernel_id": "73491"}, {"ref": "toonday/notebook-b5878061c13206235e40", "kernel_id": "73493"}, {"ref": "toonday/notebook-b38b5433d995b1f3ca25", "kernel_id": "73494"}, {"ref": "toonday/notebook-00959def3185ed2f0fe5", "kernel_id": "73489"}, {"ref": "toonday/notebook-827fb6db99ed52d64927", "kernel_id": "73455"}, {"ref": "toonday/notebook-9604002ebfa02e438e72", "kernel_id": "73456"}, {"ref": "ankunix/notebook-50bd3e99a26d442c019f", "kernel_id": "68196"}, {"ref": "swoolery/notebook-44d45044c7af1155f049", "kernel_id": "68211"}, {"ref": "swoolery/notebook-f11f577f78912aa00eec", "kernel_id": "68379"}, {"ref": "swoolery/sw-locations-160603", "kernel_id": "68360"}, {"ref": "swoolery/notebook-02e9de1e6363165291a8", "kernel_id": "68381"}, {"ref": "mutouman/hotel-check-in-prediction", "kernel_id": "69323"}, {"ref": "hydnrich/fbfirsttry", "kernel_id": "68857"}, {"ref": "haonans/timestamp-structure", "kernel_id": "69094"}, {"ref": "murobo/notebook-e5047f9f49a60b2c6ca0", "kernel_id": "69053"}, {"ref": "murobo/notebook-b1dc4881d5f58eb7de10", "kernel_id": "69054"}, {"ref": "murobo/notebook-600c2374c4d1c0e24fd3", "kernel_id": "69055"}, {"ref": "murobo/notebook-b288c91de266c67ed9df", "kernel_id": "69056"}, {"ref": "jzking/notebook-1345e90e7f8a943fdce0", "kernel_id": "73673"}, {"ref": "jzking/notebook-472dfe9805c78de00d09", "kernel_id": "73675"}, {"ref": "bobcarson/notebook-72599f45eff196730268", "kernel_id": "69982"}, {"ref": "raghakot/notebook-5c4ce6bf4c185bc03d3e", "kernel_id": "72279"}, {"ref": "azking23/notebook-9c0321b67e3869b2f851", "kernel_id": "70626"}, {"ref": "azking23/notebook-ce96add99413928880fa", "kernel_id": "70624"}, {"ref": "waysonkong22/temp1", "kernel_id": "70852"}, {"ref": "erickogm/notebook-153f224ab3d438520fdf", "kernel_id": "70627"}, {"ref": "erickogm/notebook-b5275e940ff7e6dc9359", "kernel_id": "70622"}, {"ref": "erickogm/notebook-0ed0c8577e8d322bc179", "kernel_id": "70740"}, {"ref": "swethaharshini/notebook-300b412f8f32eacd5dca", "kernel_id": "70573"}, {"ref": "silwals/initial-test-of-script", "kernel_id": "70676"}, {"ref": "ninjusomu/notebook-3e8d2ec5c7f8d33af1c2", "kernel_id": "75175"}, {"ref": "ninjusomu/notebook-b7d92962b0ab02795cb5", "kernel_id": "75176"}, {"ref": "sglink/notebook-3ee628c92513ff678cd2", "kernel_id": "71989"}, {"ref": "sglink/notebook-c4b09ea2eee707da8c44", "kernel_id": "71736"}, {"ref": "ynzhang/random-forest-and-knn-on-a-few-blocks", "kernel_id": "75477"}, {"ref": "rgallotti/notebook-fff32fc4f6155882680e", "kernel_id": "72156"}, {"ref": "kirkir/script-competition-cacebook-v-2-1", "kernel_id": "75554"}, {"ref": "kirkir/notebook-b816f1363c855292a850", "kernel_id": "73426"}, {"ref": "sdcs0sysu0xyx/data-exploration-and-visualisations", "kernel_id": "73929"}, {"ref": "yunlong/data-exploration-and-visualisations", "kernel_id": "75602"}, {"ref": "rajeshkumar/notebook-938a9a7aa01d497d945d", "kernel_id": "72514"}, {"ref": "evaita1/facebook", "kernel_id": "72753"}, {"ref": "pulkitrebel/fbcheckin1", "kernel_id": "72761"}, {"ref": "pulkitrebel/fbcheckin2", "kernel_id": "72763"}, {"ref": "pulkitrebel/notebook-4e871cf92c2979b7c477", "kernel_id": "72776"}, {"ref": "pulkitrebel/notebook-bedf006a9cf226f653c0", "kernel_id": "73013"}, {"ref": "pulkitrebel/notebook-e7211fdb58dc54f9431d", "kernel_id": "72985"}, {"ref": "pulkitrebel/notebook-339b2c1f95e8885deb93", "kernel_id": "74348"}, {"ref": "pulkitrebel/notebook-537bd251a3ff616eea88", "kernel_id": "74882"}, {"ref": "pulkitrebel/notebook-c94e56f7cd6092565996", "kernel_id": "74854"}, {"ref": "pulkitrebel/notebook-a2fd36406c8f613ebb0c", "kernel_id": "75437"}, {"ref": "pulkitrebel/notebook-1810ede1f8739b45617d", "kernel_id": "75455"}, {"ref": "pulkitrebel/notebook-1af5f780c8087e1ccf67", "kernel_id": "76089"}, {"ref": "pulkitrebel/notebook-c4401eb66b7e47087b55", "kernel_id": "76079"}, {"ref": "pulkitrebel/fbcheckin4", "kernel_id": "76081"}, {"ref": "larryzh/notebook-1b6fa742a612f39d599d", "kernel_id": "74209"}, {"ref": "larryzh/data-visualization", "kernel_id": "74215"}, {"ref": "parimalak/notebook-7f8fe091e90b1a14986c", "kernel_id": "78247"}, {"ref": "jkaempfer/first-test", "kernel_id": "73109"}, {"ref": "kvishakha10/notebook745b3a03dd", "kernel_id": "196341"}, {"ref": "altonlu/notebook-59c1f2220742c3ef30fe", "kernel_id": "74696"}, {"ref": "aaapupyshev/notebook-9174cc2de652c06585ad", "kernel_id": "75461"}, {"ref": "agalea91/custom-sklearn-map-3-scoring-function", "kernel_id": "74229"}, {"ref": "agalea91/notebook-0f335f3c9bb163afcba7", "kernel_id": "74232"}, {"ref": "agalea91/notebook-f814d2f1d10d2d60586f", "kernel_id": "74233"}, {"ref": "agalea91/notebook-c37d96149f4d055bf2b9", "kernel_id": "74226"}, {"ref": "agalea91/place-id-frequency", "kernel_id": "74227"}, {"ref": "root1729/notebook-ce545ae7a943e74f6f44", "kernel_id": "75459"}, {"ref": "root1729/fb-predictions", "kernel_id": "75460"}, {"ref": "hao2016/notebook41d82e0cd9", "kernel_id": "91486"}, {"ref": "ildiii05/notebookb2d748bbb3", "kernel_id": "98518"}, {"ref": "kittukaushik/notebook-532fa7cd2516eecdbb19", "kernel_id": "75074"}, {"ref": "kittukaushik/notebook-9a8196f31d44ff9fa578", "kernel_id": "75082"}, {"ref": "hendraherviawan/facebook-v-exploration-r", "kernel_id": "183499"}, {"ref": "tennissuperstar/basic-knn", "kernel_id": "105216"}, {"ref": "datadong/mad-scripts-battle", "kernel_id": "107790"}, {"ref": "datadong/data-exploration-and-visualisations-f4546a14", "kernel_id": "107826"}, {"ref": "datadong/data-exploration-and-visualisations", "kernel_id": "104541"}, {"ref": "xingobar/notebook48e47ac67b", "kernel_id": "99835"}, {"ref": "zishan/check", "kernel_id": "90064"}, {"ref": "mtharz/test-libraries", "kernel_id": "84928"}, {"ref": "kimishpatel/notebook6df0ee2420", "kernel_id": "90932"}, {"ref": "namluu/notebook602123d423", "kernel_id": "158798"}, {"ref": "roggin/quick-look-at-the-data", "kernel_id": "98692"}, {"ref": "ghaidaelsaied/notebook116e4de7d7", "kernel_id": "109076"}, {"ref": "mikhailyurasov/notebook560c4b2631", "kernel_id": "112734"}, {"ref": "itownleys/grid-knn3", "kernel_id": "108772"}, {"ref": "yeyangmiya/knn-and-probability-lookup-script", "kernel_id": "229296"}, {"ref": "berkayinan/random-forest-and-knn-on-a-few-blocks", "kernel_id": "152216"}, {"ref": "fitiavana/data-exploration-and-visualisations", "kernel_id": "135787"}, {"ref": "zrythpzhl/notebook49348bbd4f", "kernel_id": "134648"}, {"ref": "zrythpzhl/grid-knn", "kernel_id": "133313"}, {"ref": "zrythpzhl/first-try-validation", "kernel_id": "133378"}, {"ref": "zrythpzhl/notebook1890c7d5ee", "kernel_id": "133487"}, {"ref": "zrythpzhl/grid-knn1", "kernel_id": "133808"}, {"ref": "beefinbj/pulled-script", "kernel_id": "141319"}, {"ref": "beefinbj/mad-scripts-battle-z", "kernel_id": "181680"}, {"ref": "cambomb/notebook84551cd7fb", "kernel_id": "119939"}, {"ref": "nsknsl/notebookc2d9248340", "kernel_id": "144970"}, {"ref": "jiayel/notebookc726021b19", "kernel_id": "230327"}, {"ref": "mashaojunhahaha/logistic-regression-to-find-knn-weights", "kernel_id": "235215"}, {"ref": "guoyuzhi/random-forest-and-knn-on-a-few-blocks", "kernel_id": "235173"}, {"ref": "fuluves/notebook710e357ea7", "kernel_id": "236848"}, {"ref": "snkey01/kernel565c2febb1", "kernel_id": "4560412"}, {"ref": "pkuchicago/facebook-v-predicting-check-ins", "kernel_id": "8038536"}, {"ref": "indrajitswain/xgboost-model-on-facebook-checkins", "kernel_id": "11221855"}, {"ref": "jareddeguzman/fb-competition", "kernel_id": "12639771"}, {"ref": "willemdafoe/facebook-v-prediction-check-ins", "kernel_id": "22091899"}, {"ref": "xujunhao123/notebook85918e1dee", "kernel_id": "27168687"}]}
{"competition_id": "5190", "kernels": []}
{"competition_id": "5200", "kernels": []}
{"competition_id": "5208", "kernels": []}
{"competition_id": "5215", "kernels": []}
{"competition_id": "5229", "kernels": [{"ref": "chefele/plot-some-image-sets", "kernel_id": "58723"}, {"ref": "chefele/notebook-8536699778cf5279cec9", "kernel_id": "58744"}, {"ref": "wcukierski/notebook-626a19810b4c33187aaa", "kernel_id": "58665"}, {"ref": "wcukierski/plot-images", "kernel_id": "58666"}, {"ref": "wcukierski/notebook-550e9e30932e7bdf32b7", "kernel_id": "58670"}, {"ref": "nigelcarpenter/akaze-keypoint-detector", "kernel_id": "58976"}, {"ref": "nigelcarpenter/notebook-8e6dc253a22efa858284", "kernel_id": "59657"}, {"ref": "nigelcarpenter/homography-estimate-stitching-two-imag", "kernel_id": "60357"}, {"ref": "nigelcarpenter/akaze-stitching", "kernel_id": "60401"}, {"ref": "nigelcarpenter/notebook-98f2a3a7a49d94d19b1f", "kernel_id": "64091"}, {"ref": "nigelcarpenter/align-images", "kernel_id": "64758"}, {"ref": "nigelcarpenter/draper-notebook", "kernel_id": "63945"}, {"ref": "asymptote/homography-estimate-stitching-two-imag", "kernel_id": "60317"}, {"ref": "weiwunyc/notebook-1c902bd64a859fdf1a01", "kernel_id": "64844"}, {"ref": "johnmin/exploratory-image-analysis", "kernel_id": "93436"}, {"ref": "outputlogic/exploratory-image-analysis", "kernel_id": "61062"}, {"ref": "outputlogic/notebook-e61870ae9bc5316cf2ed", "kernel_id": "64279"}, {"ref": "hurlburt/repeatedvalues", "kernel_id": "61879"}, {"ref": "hurlburt/notebook-cb072f6e9cf3036f5e09", "kernel_id": "61880"}, {"ref": "hurlburt/notebook-7ecb3f87a0e81e3a1cfe", "kernel_id": "61881"}, {"ref": "hurlburt/twofour", "kernel_id": "61883"}, {"ref": "toni00/data-exploration", "kernel_id": "62067"}, {"ref": "toni00/notebook-77d1ae12e331d76eca89", "kernel_id": "62086"}, {"ref": "toni00/exploratory-image-analysis", "kernel_id": "61913"}, {"ref": "toni00/notebook-5cc33d4ab3a9e9fb2dab", "kernel_id": "62857"}, {"ref": "toni00/akaze-keypoint-detector", "kernel_id": "64455"}, {"ref": "gprasa7s/exploratory-image-analysis", "kernel_id": "59570"}, {"ref": "wtellen/exploratory-image-analysis", "kernel_id": "129029"}, {"ref": "wtellen/exploratory-image-analysis-0ccf12e7", "kernel_id": "153146"}, {"ref": "company/notebook-65c28ead0a526ea09e94", "kernel_id": "62027"}, {"ref": "company/exploratory-image-analysis", "kernel_id": "61217"}, {"ref": "company/notebook-d11e463c294bedf35742", "kernel_id": "61218"}, {"ref": "company/draper1", "kernel_id": "61220"}, {"ref": "company/notebook-f4a4d15f646bddcc5997", "kernel_id": "61221"}, {"ref": "company/draper2", "kernel_id": "61222"}, {"ref": "stprior/mean-corner-detection", "kernel_id": "58803"}, {"ref": "stprior/notebook-8e08a86252f142bbc714", "kernel_id": "58840"}, {"ref": "stprior/notebook-4322f0a3a4b51c1fa791", "kernel_id": "58842"}, {"ref": "deeper/mean-corner-detection", "kernel_id": "66584"}, {"ref": "deeper/notebook-90d5737b6bb823f7bf85", "kernel_id": "66585"}, {"ref": "deeper/stitch-and-predict-e001", "kernel_id": "66575"}, {"ref": "deeper/stitch-and-predict-e002", "kernel_id": "66554"}, {"ref": "deeper/notebook-cf136dbe112ddcfafce0", "kernel_id": "66555"}, {"ref": "henshinger/trying-my-luck", "kernel_id": "70534"}, {"ref": "henshinger/attempt-at-incremental-pca", "kernel_id": "68498"}, {"ref": "IHenry/notebook-188cd1a842a076263fcd", "kernel_id": "74003"}, {"ref": "amitmac/exploratory-image-analysis", "kernel_id": "60892"}, {"ref": "arunyadav/notebook-acb7b7628709c9902078", "kernel_id": "61855"}, {"ref": "mrpuik/notebook-3828cf71e09aaf163aa9", "kernel_id": "63878"}, {"ref": "mrpuik/exploratory-image-analysis", "kernel_id": "60928"}, {"ref": "ibia9sa/notebook-db7bbb1c4b16cb5dff24", "kernel_id": "64297"}, {"ref": "freddiebe/test-r", "kernel_id": "73654"}, {"ref": "yifanxie/exploratory-image-analysis", "kernel_id": "66028"}, {"ref": "vagrawal/align-images", "kernel_id": "64039"}, {"ref": "vagrawal/notebook-83125afcbd276aab1f85", "kernel_id": "64246"}, {"ref": "vagrawal/notebook-97b90a15d1b2f12ffb38", "kernel_id": "64239"}, {"ref": "vagrawal/notebook-55aca3f1179cce88ec06", "kernel_id": "64240"}, {"ref": "vagrawal/notebook-e9c0b04eaf9569b49460", "kernel_id": "64248"}, {"ref": "vagrawal/notebook-1cd026d9637ed6203e26", "kernel_id": "64249"}, {"ref": "vagrawal/notebook-701dbdb36a86f2fcd3da", "kernel_id": "64668"}, {"ref": "kirilllisenkov/notebook-08cfeb5e81691ac208b7", "kernel_id": "72494"}, {"ref": "kirilllisenkov/notebook-c94447d637610809b944", "kernel_id": "72495"}, {"ref": "csnider/notebook-1e7b3785fd1cadce3398", "kernel_id": "63217"}, {"ref": "sebasibarguen/exploratory-image-analysis", "kernel_id": "71538"}, {"ref": "cadrev/exploratory-image-analysis", "kernel_id": "96286"}, {"ref": "yuqingxue/noise-susceptibility-of-metric", "kernel_id": "58776"}, {"ref": "martinhowley/exploratory-image-analysis", "kernel_id": "70148"}, {"ref": "raviippili/exploratory-image-analysis", "kernel_id": "70650"}, {"ref": "piinformatics/super-secret-recipe-to-sucess", "kernel_id": "61910"}, {"ref": "erinoliver/mean-corner-detection", "kernel_id": "58859"}, {"ref": "kramea/exploratory-image-analysis", "kernel_id": "60831"}, {"ref": "raguram/notebook-c7c2d6b28186d5ed8f71", "kernel_id": "64376"}, {"ref": "raguram/exploratory-image-analysis", "kernel_id": "64377"}, {"ref": "vishwajiit/notebook-a0c302eb51f19eca8c49", "kernel_id": "59592"}, {"ref": "teracrator/stitch-and-predict", "kernel_id": "73378"}, {"ref": "jasper7/exploratory-image-analysis", "kernel_id": "64181"}, {"ref": "lbrunjes/notebook-1b9999a7388dd4c7d400", "kernel_id": "62133"}, {"ref": "hulkbulk/naive-beat-the-benchmark-0-09286", "kernel_id": "59996"}, {"ref": "vicensgaitan/image-registration-the-r-way", "kernel_id": "63486"}, {"ref": "cactuskid/exploratory-image-analysis", "kernel_id": "67629"}, {"ref": "watsang/exploratory-image-analysis", "kernel_id": "60895"}, {"ref": "ryutek/some-test", "kernel_id": "60916"}, {"ref": "ryutek/notebook-eb4dfae25a2783d81960", "kernel_id": "60935"}, {"ref": "ryutek/notebook-a3b5fa80c52223efd252", "kernel_id": "60936"}, {"ref": "ryutek/notebook-e74bcda40f0a557230ce", "kernel_id": "60948"}, {"ref": "ryutek/notebook-73807627becfab8c8489", "kernel_id": "60949"}, {"ref": "ryutek/align-images-test", "kernel_id": "74173"}, {"ref": "ryutek/notebook-6863b0506397fed1752d", "kernel_id": "74176"}, {"ref": "ryutek/notebook-1d6fbd7b439b9a3b5983", "kernel_id": "74207"}, {"ref": "ryutek/notebook-f2cdbd91b5b38b2b079b", "kernel_id": "74194"}, {"ref": "ryutek/notebook-0579072e901e92f17f94", "kernel_id": "74195"}, {"ref": "ryutek/notebook-1e15cb860a6583e18d9f", "kernel_id": "74196"}, {"ref": "ryutek/align-test", "kernel_id": "74197"}, {"ref": "ryutek/notebook-1ef639228e8783ff0e35", "kernel_id": "74221"}, {"ref": "ww44ss/exploratory-image-analysis", "kernel_id": "68589"}, {"ref": "ww44ss/notebook-d17c494cab1dcad5d7b6", "kernel_id": "68656"}, {"ref": "iosentinel/notebook-dfc7757d9ad1590f7d60", "kernel_id": "60368"}, {"ref": "lesaffrea/exploratory-image-analysis", "kernel_id": "64547"}, {"ref": "dellarosa/notebook-2d119ef5cba23e7d4a0c", "kernel_id": "63433"}, {"ref": "dellarosa/notebook-23abd77e69dc5dedbf65", "kernel_id": "63436"}, {"ref": "abhayizm/exploratory-image-analysis", "kernel_id": "95198"}, {"ref": "ledhead/notebook-d9e7ee14a5c7bfe6c8a1", "kernel_id": "68140"}, {"ref": "ricardom/stitch-and-predict", "kernel_id": "71121"}, {"ref": "echamp/notebook-9847c3e8ef48be7d5427", "kernel_id": "63211"}, {"ref": "echamp/notebook-396d8bf115b9add4f7ea", "kernel_id": "63550"}, {"ref": "echamp/notebook-991fcd681492683cb647", "kernel_id": "63752"}, {"ref": "echamp/notebook-7b145cb13c3e0d69fb89", "kernel_id": "62735"}, {"ref": "echamp/notebook-e46fb7543ef786dcd5c5", "kernel_id": "63063"}, {"ref": "echamp/notebook-881f98f13acee79a3780", "kernel_id": "62677"}, {"ref": "echamp/notebook-3bd4e81b0fd2e80ba932", "kernel_id": "64669"}, {"ref": "echamp/notebook-58dfb49f6c97b08d054a", "kernel_id": "61954"}, {"ref": "echamp/notebook-ef3f91e02a6762ebd59f", "kernel_id": "60958"}, {"ref": "echamp/notebook-74452562560da77c9e17", "kernel_id": "60990"}, {"ref": "echamp/notebook-cb17b429caad5b56f2fd", "kernel_id": "61236"}, {"ref": "echamp/notebook-f151ec8c529b622139de", "kernel_id": "61237"}, {"ref": "echamp/notebook-803c517e499adf754e71", "kernel_id": "61395"}, {"ref": "mcwitt/initial-test", "kernel_id": "63896"}, {"ref": "chatcat/exploratory-image-analysis", "kernel_id": "110813"}, {"ref": "scollins/notebook-9406aedfe5b2574bc31e", "kernel_id": "58834"}, {"ref": "scollins/notebook-5f1f0ec3a75b8ee70c00", "kernel_id": "58831"}, {"ref": "thodime/drapersub", "kernel_id": "74177"}, {"ref": "ymcdull/notebook-82b1e15fa5336c7c67cb", "kernel_id": "73320"}, {"ref": "ymcdull/exploratory-image-analysis", "kernel_id": "71139"}, {"ref": "jwvincent/exploratory-image-analysis", "kernel_id": "60691"}, {"ref": "ravianand87/notebook-5d38d4ecf60edcb0f321", "kernel_id": "72158"}, {"ref": "ravianand87/exploratory-image-analysis", "kernel_id": "72126"}, {"ref": "ravianand87/notebook-c9f4faec7c428b102839", "kernel_id": "73026"}, {"ref": "ravianand87/notebook-e068ad9131ff4cbf754a", "kernel_id": "73002"}, {"ref": "ravianand87/notebook-0b89bc12b660aa8af270", "kernel_id": "73003"}, {"ref": "ravianand87/notebook-238836c19bebdecb0b90", "kernel_id": "72994"}, {"ref": "ravianand87/notebook-614ae413ae5489c4321f", "kernel_id": "72999"}, {"ref": "jturkewitz/naive-beat-the-benchmark-0-09286", "kernel_id": "71292"}, {"ref": "michaelkirschbaum/notebook-36d78c5891393ad2520d", "kernel_id": "60989"}, {"ref": "michaelkirschbaum/notebook-abe0a2af6c36672784ee", "kernel_id": "60972"}, {"ref": "michaelkirschbaum/notebook-211c254f27e92549e920", "kernel_id": "60977"}, {"ref": "michaelkirschbaum/notebook-591f275d6e5796afc9f8", "kernel_id": "60978"}, {"ref": "michaelkirschbaum/notebook-7523befbc77a2a4c548c", "kernel_id": "60979"}, {"ref": "michaelkirschbaum/exploratory-image-analysis", "kernel_id": "60970"}, {"ref": "michaelkirschbaum/notebook-76bd3e7e480b56404163", "kernel_id": "61032"}, {"ref": "stassl/notebook-53f962433ec1466eaa5c", "kernel_id": "64265"}, {"ref": "stassl/notebook-7cfacf33e7fd7fbc8871", "kernel_id": "64275"}, {"ref": "stassl/notebook-1e3cbe4d6471ec80f9dc", "kernel_id": "64276"}, {"ref": "stassl/notebook-4db2ff5838e09ec34ee9", "kernel_id": "64278"}, {"ref": "stassl/notebook-86c356e0cc962069364e", "kernel_id": "64166"}, {"ref": "slavadubrov/naive", "kernel_id": "69607"}, {"ref": "slavadubrov/notebook-3b5fe0bf627a1e52af1a", "kernel_id": "69612"}, {"ref": "khaledfayed/simple-nothing", "kernel_id": "72238"}, {"ref": "khaledfayed/notebook-199436f8a949f1b3572b", "kernel_id": "58905"}, {"ref": "khaledfayed/notebook-09285f27b2df8d9c3201", "kernel_id": "58906"}, {"ref": "khaledfayed/plot-a-few-image-groups", "kernel_id": "58902"}, {"ref": "khaledfayed/notebook-c3b2a1cac98927dfce25", "kernel_id": "58909"}, {"ref": "khaledfayed/notebook-42a4fc80f762ac1fcb9d", "kernel_id": "58922"}, {"ref": "khaledfayed/plot-images2", "kernel_id": "58703"}, {"ref": "khaledfayed/plot-images", "kernel_id": "58705"}, {"ref": "khaledfayed/notebook-89e1e17c8dad41a70784", "kernel_id": "58713"}, {"ref": "khaledfayed/notebook-4d366b22286d4655f8d3", "kernel_id": "58714"}, {"ref": "khaledfayed/notebook-3748ad93d782eb44dc20", "kernel_id": "58716"}, {"ref": "khaledfayed/notebook-36339847a45992d7aa85", "kernel_id": "58724"}, {"ref": "khaledfayed/notebook-b01734acba9b726e65d4", "kernel_id": "58709"}, {"ref": "khaledfayed/notebook-f25a373b69fdd67b861d", "kernel_id": "58710"}, {"ref": "khaledfayed/notebook-dc1979d4ecbc56beec67", "kernel_id": "58718"}, {"ref": "khaledfayed/notebook-3a4014296e7c5274ded3", "kernel_id": "58719"}, {"ref": "khaledfayed/kh-nothing", "kernel_id": "74179"}, {"ref": "jgsponer/notebook-152cfd643e2c5c00a320", "kernel_id": "61573"}, {"ref": "jsh127/notebook-f795fe5ab67fc0e01e5b", "kernel_id": "72519"}, {"ref": "jsh127/notebook-5a9f78d632e2ba9ac099", "kernel_id": "72520"}, {"ref": "jsh127/draper1", "kernel_id": "72521"}, {"ref": "jsh127/notebook-dcb1e2fce160537ddcad", "kernel_id": "72534"}, {"ref": "jsh127/notebook-c6514bed6de1b14c3962", "kernel_id": "72527"}, {"ref": "jsh127/notebook-fd2f5979d05f87d337ca", "kernel_id": "72528"}, {"ref": "jsh127/notebook-b24d3ba3f1e6ee455e04", "kernel_id": "72529"}, {"ref": "jsh127/stitching-experiments", "kernel_id": "72541"}, {"ref": "jsh127/exploratory-image-analysis", "kernel_id": "72462"}, {"ref": "jsh127/notebook-f50cb15954f47ded7fb4", "kernel_id": "72463"}, {"ref": "manishperiwal/exploratory-image-analysis", "kernel_id": "72137"}, {"ref": "pagpires/exploratory-image-analysis", "kernel_id": "72266"}, {"ref": "pagpires/notebook-f8d7bea199a325dceb3c", "kernel_id": "72267"}, {"ref": "hl5240/check-files", "kernel_id": "70489"}, {"ref": "ashpdy/notebook-f5c545fbd42f8533c10a", "kernel_id": "58912"}, {"ref": "rahulanandsharma/notebook-f3214219cbf4d2d9d335", "kernel_id": "71663"}, {"ref": "jyotiislam/draper", "kernel_id": "68310"}, {"ref": "chiggypk/first-script", "kernel_id": "59605"}, {"ref": "yourwanghao/notebook-417c3f66ede04fc3773e", "kernel_id": "63655"}, {"ref": "yourwanghao/align-images", "kernel_id": "63639"}, {"ref": "alexlzzz/notebook-54016b153945a484a41f", "kernel_id": "58814"}, {"ref": "alexlzzz/mean-corner-detection", "kernel_id": "58932"}, {"ref": "arpangupta87/drapersub1", "kernel_id": "72632"}, {"ref": "arpangupta87/drapersub", "kernel_id": "72629"}, {"ref": "abhinavs01858/stitch-and-predict", "kernel_id": "71922"}, {"ref": "abhinavs01858/stitching-experiments", "kernel_id": "73022"}, {"ref": "abhinavs01858/exploratory-image-analysis", "kernel_id": "73023"}, {"ref": "appleholic/exploratory-image-analysis", "kernel_id": "64003"}, {"ref": "violinbeats/test-script-baseline", "kernel_id": "62700"}, {"ref": "leblancfg/naive-beat-the-benchmark-0-09286", "kernel_id": "58775"}, {"ref": "xiaoyilu/exploratory-image-analysis", "kernel_id": "62455"}, {"ref": "xiaoyilu/notebook-3873b272d86555a0d0b2", "kernel_id": "62457"}, {"ref": "chabir/notebook-db09c14f67123f44e508", "kernel_id": "66569"}, {"ref": "chabir/notebook-5aab31cf77eed89c3067", "kernel_id": "66563"}, {"ref": "chabir/notebook-8b6ac65fc9ac38911692", "kernel_id": "62656"}, {"ref": "chabir/notebook-3ddbcf3b74b517580eb7", "kernel_id": "62658"}, {"ref": "chabir/notebook-2f284d5be1c02a566ad9", "kernel_id": "62659"}, {"ref": "chabir/notebook-5ad5e83761aec1bd55f0", "kernel_id": "62550"}, {"ref": "chabir/notebook-a02d4a9e381bc5c7d374", "kernel_id": "62533"}, {"ref": "chabir/notebook-11fe62b308b200a250db", "kernel_id": "62518"}, {"ref": "chabir/notebook-f8a4fce5f6bd388d30ab", "kernel_id": "62520"}, {"ref": "chabir/notebook-513f4d358247958b5f8e", "kernel_id": "62527"}, {"ref": "chabir/exploratory-image-analysis-e002", "kernel_id": "62528"}, {"ref": "chabir/notebook-599e3617b3f726c1466e", "kernel_id": "62529"}, {"ref": "chabir/notebook-377f09e96b7e39a92d97", "kernel_id": "62881"}, {"ref": "chabir/notebook-f2a6e4e99a91346f7f02", "kernel_id": "62882"}, {"ref": "chabir/stitch-and-predict-e002", "kernel_id": "62883"}, {"ref": "chabir/stitch-and-predict", "kernel_id": "61638"}, {"ref": "chabir/notebook-f2ee2a5ab398b159f226", "kernel_id": "61805"}, {"ref": "chabir/notebook-5184ed38832fc5b6f50e", "kernel_id": "61803"}, {"ref": "chabir/notebook-1fd0d4851209937b9413", "kernel_id": "61814"}, {"ref": "chabir/exploratory-image-analysis", "kernel_id": "61827"}, {"ref": "chabir/notebook-ddc23540c099bde228f8", "kernel_id": "61820"}, {"ref": "chabir/notebook-3cbbcfd4789dc0f74dc3", "kernel_id": "61817"}, {"ref": "chabir/notebook-5a8775c8c4b0d7428358", "kernel_id": "61818"}, {"ref": "lalthan/stitch-and-predict", "kernel_id": "65234"}, {"ref": "pramods/exploratory-image-analysis", "kernel_id": "67439"}, {"ref": "pramods/notebook-e84ed4d0f5cde37e3c02", "kernel_id": "67441"}, {"ref": "pramods/notebook-5c8d7a0836b6ae98faec", "kernel_id": "67442"}, {"ref": "pramods/notebook-f2a5548f04ff908f194c", "kernel_id": "67443"}, {"ref": "pramods/notebook-ac03a49ea4dc8a7571bc", "kernel_id": "67450"}, {"ref": "dumpty/notebook-7f41e4f2e642b5f518b5", "kernel_id": "61989"}, {"ref": "dumpty/exploratory-image-analysis", "kernel_id": "60766"}, {"ref": "millerintllc/john-draper", "kernel_id": "59043"}, {"ref": "millerintllc/naive-beat-the-benchmark-0-09286", "kernel_id": "59496"}, {"ref": "janekberger/exploratory-image-analysis", "kernel_id": "61144"}, {"ref": "indian/notebook-7d7c4d04a244e7d493b2", "kernel_id": "82112"}, {"ref": "indian/notebook-e37fab8eb9058c6b82eb", "kernel_id": "82113"}, {"ref": "avijeetsingh1608/notebook-129f1efdd4669eed5a8d", "kernel_id": "65244"}, {"ref": "pierre052/align-images", "kernel_id": "64043"}, {"ref": "jbaklouti/notebook-0e55c83ea0bf7a140342", "kernel_id": "59353"}, {"ref": "jbaklouti/draper", "kernel_id": "59326"}, {"ref": "danieleewww/exploratory-image-analysis", "kernel_id": "60487"}, {"ref": "sck209/notebook-78b3818e9a0ecc284c26", "kernel_id": "68575"}, {"ref": "dogrishin/svm-based-on-zoom-and-rotations-0-7", "kernel_id": "74682"}, {"ref": "hessam/exploratory-image-analysis", "kernel_id": "64624"}, {"ref": "virtuoso/notebook-b12cc221a25d18746465", "kernel_id": "64833"}, {"ref": "virtuoso/notebook-b64c586f86b487bb167b", "kernel_id": "64835"}, {"ref": "virtuoso/notebook-c1e085b8295cdb6f1b17", "kernel_id": "64836"}, {"ref": "weedislove/stitch-and-predict", "kernel_id": "64410"}, {"ref": "weedislove/andyafter-stitching", "kernel_id": "64411"}, {"ref": "weedislove/notebook-2ac5914c0af7867c9ea7", "kernel_id": "64413"}, {"ref": "tibushu/dan-draper1", "kernel_id": "60217"}, {"ref": "tibushu/notebook-f41a8b5a31bca46e1d82", "kernel_id": "60206"}, {"ref": "tibushu/testing-draper", "kernel_id": "60234"}, {"ref": "anokas/notebook-6aecf46689ddaee4e6a0", "kernel_id": "58693"}, {"ref": "anokas/notebook-ec2329d1731041a7aa3b", "kernel_id": "58695"}, {"ref": "anokas/naive-beat-the-benchmark", "kernel_id": "58690"}, {"ref": "sarame/naive-beat-the-benchmark-0-09286", "kernel_id": "58739"}, {"ref": "amenra99/notebook-a6458cbf3c641c30d6cc", "kernel_id": "66649"}, {"ref": "peterz/exploratory-image-analysis", "kernel_id": "70901"}, {"ref": "khushhall/exploratory-image-analysis", "kernel_id": "61314"}, {"ref": "khushhall/notebook-60c67db8076d15c28ab6", "kernel_id": "61315"}, {"ref": "laurae2/imagej-pre-processing-for-deep-learning", "kernel_id": "64626"}, {"ref": "yffuds/notebook-66cb38e4a73694b3b413", "kernel_id": "61624"}, {"ref": "yffuds/align-images", "kernel_id": "74786"}, {"ref": "eredxiii/exploratory-image-analysis", "kernel_id": "75013"}, {"ref": "ahmedgehad/notebook-6811dc878f650f1aec7b", "kernel_id": "60069"}, {"ref": "sidswarnkar/exploratory-image-analysis", "kernel_id": "66722"}, {"ref": "sidswarnkar/fork-of-exploratory-image-analysis", "kernel_id": "171036"}, {"ref": "phileas/notebook-c5fbe9975cbc5f57501d", "kernel_id": "59066"}, {"ref": "manjmc/notebook-ba0b0f10b911355adf6d", "kernel_id": "60883"}, {"ref": "kikimiaouw/exploratory-image-analysis", "kernel_id": "71137"}, {"ref": "marlonglopes/notebook-65aeb5c93e820ec1bc42", "kernel_id": "61265"}, {"ref": "marlonglopes/exploratory-image-analysis", "kernel_id": "59781"}, {"ref": "marlonglopes/notebook-9a126b0a8626ca88512e", "kernel_id": "62820"}, {"ref": "hiteck/test-notebook", "kernel_id": "60018"}, {"ref": "jihyeseo/satellite-image-time-order", "kernel_id": "958710"}, {"ref": "trungnb/exploratory-image-analysis", "kernel_id": "62381"}, {"ref": "rwhenderson/just-looking-around", "kernel_id": "60929"}, {"ref": "datascientist2016/notebook-d5c0564a109e03cae852", "kernel_id": "62322"}, {"ref": "datascientist2016/notebook-c55b71d17b20b30be91f", "kernel_id": "62333"}, {"ref": "datascientist2016/exploratory-image-analysis", "kernel_id": "60880"}, {"ref": "sharif1093/exploratory-image-analysis", "kernel_id": "61368"}, {"ref": "sharif1093/packages", "kernel_id": "60538"}, {"ref": "sharif1093/yet-another-test-yat", "kernel_id": "60413"}, {"ref": "remyzum/notebook-5252820bfbb6f14687a9", "kernel_id": "60870"}, {"ref": "remyzum/notebook-58bf2ae7e1b22d316948", "kernel_id": "60872"}, {"ref": "msig0000/notebook-c0114fdefb9b2c61adc0", "kernel_id": "62401"}, {"ref": "sethuvignesh/sethu", "kernel_id": "61761"}, {"ref": "sethuvignesh/notebook-6d3bc9b2974d4b7b355a", "kernel_id": "61763"}, {"ref": "sethuvignesh/exploratory-image-analysis", "kernel_id": "61985"}, {"ref": "sethuvignesh/notebook-a5f2e7e4878771217bf1", "kernel_id": "61987"}, {"ref": "josephbudin/script-test", "kernel_id": "60508"}, {"ref": "artintal/notebook-224825e3362a6102551b", "kernel_id": "63218"}, {"ref": "camlinke/align-images", "kernel_id": "68078"}, {"ref": "teletubbiosx/exploratory-image-analysis", "kernel_id": "62472"}, {"ref": "lancecrayon/notebook319e84f314", "kernel_id": "87548"}, {"ref": "lancecrayon/notebook74a3c5a771", "kernel_id": "87549"}, {"ref": "lancecrayon/notebookaf8218a86d", "kernel_id": "87551"}, {"ref": "openthings/exploratory-image-analysis", "kernel_id": "59276"}, {"ref": "openthings/notebook-8f76fa12e88f69d0dae9", "kernel_id": "59284"}, {"ref": "giosyrio/notebook-056d08d34bd3ffead55d", "kernel_id": "58829"}, {"ref": "giosyrio/notebook-224e44923615daefeffa", "kernel_id": "58830"}, {"ref": "taochen/notebook-6818db8b6295397a946c", "kernel_id": "61002"}, {"ref": "gadgetsam/notebook-2447efd54f973cf911a4", "kernel_id": "60586"}, {"ref": "gadgetsam/test1", "kernel_id": "60594"}, {"ref": "gadgetsam/notebook-baa94ba9716c86993c7a", "kernel_id": "60561"}, {"ref": "gadgetsam/notebook-15a2c6c66fbae4002088", "kernel_id": "60562"}, {"ref": "gadgetsam/notebook-7c8efb214faf8f2fa79b", "kernel_id": "60563"}, {"ref": "gadgetsam/notebook-d54b0c66d676a9a3bf85", "kernel_id": "60554"}, {"ref": "gadgetsam/exploratory-test", "kernel_id": "60556"}, {"ref": "gadgetsam/notebook-7375fd00ab8e5fd49391", "kernel_id": "60443"}, {"ref": "gadgetsam/notebook-7b81229431a1dc2f4e0e", "kernel_id": "60444"}, {"ref": "gadgetsam/notebook-0a3a2e4661026c3b56ab", "kernel_id": "60434"}, {"ref": "devasudan/notebook-c95b23eb95ea7cb81030", "kernel_id": "61645"}, {"ref": "devasudan/notebook-345df6283543b218b546", "kernel_id": "63787"}, {"ref": "haidetian/test-run", "kernel_id": "60491"}, {"ref": "nxtgen/exploratory-image-analysis", "kernel_id": "60493"}, {"ref": "nxtgen/notebook-3165868590b0cc8fd1e1", "kernel_id": "60494"}, {"ref": "skelas/notebook-911ee9e47b2cf1e6f562", "kernel_id": "61132"}, {"ref": "coordinate35/draper-satellite-image", "kernel_id": "61229"}, {"ref": "haoshuai/notebook-0a4e391cf33bed94c50b", "kernel_id": "61825"}, {"ref": "kedo87/notebook-d438b16a853f371c36e8", "kernel_id": "64000"}, {"ref": "minhuaqiu/exploratory-image-analysis", "kernel_id": "62171"}, {"ref": "minhuaqiu/notebook-99c6346eb41396873487", "kernel_id": "62179"}, {"ref": "minhuaqiu/notebook-0ee8f4f392d202f407d6", "kernel_id": "62194"}, {"ref": "jasonzeng/notebook-b3e702936b55d7a8b6b0", "kernel_id": "62416"}, {"ref": "meetdestiny/satellite-predict", "kernel_id": "62057"}, {"ref": "tim5754/satelite-image", "kernel_id": "88451"}, {"ref": "tim5754/notebook928d373dce", "kernel_id": "88448"}, {"ref": "jblockrex/notebook-2d510f7594aaba64248b", "kernel_id": "62953"}, {"ref": "jblockrex/notebook-569f00407e6c97ddb081", "kernel_id": "62944"}, {"ref": "jblockrex/first1", "kernel_id": "62946"}, {"ref": "ndougan/exploratory-image-analysis", "kernel_id": "63220"}, {"ref": "gouyunfei/notebook-3056c6defec54845bcc8", "kernel_id": "64391"}, {"ref": "mverzilli/notebook-cd299765ae32f1c33a5b", "kernel_id": "63769"}, {"ref": "tjones879/notebook-c81493a8c16ab5c91894", "kernel_id": "63890"}, {"ref": "seanmlv/notebook-ac8a0d8124e94aabd53d", "kernel_id": "68612"}, {"ref": "attafosu/notebook-7e5d8dd05f03dfd824e4", "kernel_id": "68103"}, {"ref": "attafosu/notebook-5ccc924068b95f8fec09", "kernel_id": "68104"}, {"ref": "attafosu/notebook-3b34d32d454abe7d956a", "kernel_id": "68106"}, {"ref": "attafosu/exploratory-image-analysis", "kernel_id": "68099"}, {"ref": "spoorthy/notebook-6b4b2e8f6bc0f637b1b6", "kernel_id": "64686"}, {"ref": "noelcosgrave/notebook-06810decd20819ae8e58", "kernel_id": "73396"}, {"ref": "drlinus/exploratory-image-analysis", "kernel_id": "66254"}, {"ref": "boke168/exploratory-image-analysis", "kernel_id": "67958"}, {"ref": "boke168/notebook-b6b5e5d1a5bfb46c3da2", "kernel_id": "67960"}, {"ref": "boke168/notebook-ec57afa97799567664c3", "kernel_id": "67961"}, {"ref": "runalisa/notebook-371bd7d980d7a4f4b8c3", "kernel_id": "68915"}, {"ref": "mkiran/exploratory-image-analysis", "kernel_id": "106533"}, {"ref": "edwardochoaphd/exploratory-image-analysis", "kernel_id": "81244"}, {"ref": "bbonnet1/exploratory-image-analysis", "kernel_id": "87012"}, {"ref": "bzmccarthy/notebook2d021d7314", "kernel_id": "91593"}, {"ref": "johannha/exploratory-image-analysis", "kernel_id": "172029"}, {"ref": "sarahah/exploratory-image-analysis", "kernel_id": "172120"}, {"ref": "kmunson/packages", "kernel_id": "170017"}, {"ref": "manuss/exploratory-image-analysis", "kernel_id": "231210"}, {"ref": "justin2061/image-registration-the-r-way", "kernel_id": "262655"}, {"ref": "yhfggmm/stitching-experiments", "kernel_id": "363454"}, {"ref": "viswatejag/image-stiching-using-deeplearning", "kernel_id": "1793391"}, {"ref": "vinaykumar2491/imflash217-vision", "kernel_id": "2804680"}, {"ref": "snehalsandri007/notebook67bccd6b30", "kernel_id": "12315423"}, {"ref": "garbamoussa/analyse-image-tp2", "kernel_id": "17297900"}, {"ref": "kartml/draper-cnn-gru", "kernel_id": "25070453"}, {"ref": "kartml/transformers-forecasting-draper-satellites", "kernel_id": "27073573"}, {"ref": "kartml/draper-cnn-lstm", "kernel_id": "27347917"}, {"ref": "kartml/draper-cnn-gru-ii", "kernel_id": "27347719"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}]}
{"competition_id": "5232", "kernels": []}
{"competition_id": "5237", "kernels": []}
{"competition_id": "5255", "kernels": []}
{"competition_id": "5256", "kernels": []}
{"competition_id": "5260", "kernels": [{"ref": "benhamner/exploring-bimbo", "kernel_id": "74417"}, {"ref": "benhamner/notebook-02ab09ef9a2ea60dde19", "kernel_id": "74426"}, {"ref": "benhamner/playground-21", "kernel_id": "74427"}, {"ref": "benhamner/notebook-60d8212dbac1f896593a", "kernel_id": "74429"}, {"ref": "benhamner/notebook-a17b85b9249bfd2a637c", "kernel_id": "74433"}, {"ref": "jasonkarpeles/notebook2688cffe89", "kernel_id": "90712"}, {"ref": "khanh94/exploratory-data-analysis", "kernel_id": "69896"}, {"ref": "khanh94/notebook-5f68c3ac00e4b27c35de", "kernel_id": "69900"}, {"ref": "khanh94/notebook-d5881d57f59cf9df6dcb", "kernel_id": "69902"}, {"ref": "khanh94/notebook-01d1812651e7466384ca", "kernel_id": "71490"}, {"ref": "jbm1966/notebook8e2b331467", "kernel_id": "91627"}, {"ref": "jjuanda/notebook-28f4a66467b6749b80bf", "kernel_id": "70209"}, {"ref": "neuronsguy/notebook-1ba4ea9034ec5f645a9e", "kernel_id": "81589"}, {"ref": "neuronsguy/notebook-22c84d27ac4a59ef338a", "kernel_id": "81592"}, {"ref": "vitolee/explore", "kernel_id": "73877"}, {"ref": "iamivo/notebook-a594b6bf98e35c73ebed", "kernel_id": "69748"}, {"ref": "iamivo/notebook-a15b6ac384b306424bb5", "kernel_id": "69749"}, {"ref": "zachmayer/floating-point-test", "kernel_id": "69471"}, {"ref": "sausax/notebook1c49777a4b", "kernel_id": "89378"}, {"ref": "sausax/notebook2cffe131d0", "kernel_id": "89305"}, {"ref": "clinica/notebook-b7f4b9e7e1bdf42098ef", "kernel_id": "79677"}, {"ref": "clinica/notebook-8010d98d26b3f151a712", "kernel_id": "79683"}, {"ref": "leadbest/notebook-02936e4f0fe7a66d8a6a", "kernel_id": "75065"}, {"ref": "nigelcarpenter/r-medians", "kernel_id": "70853"}, {"ref": "troyshu/product-client-no-agency", "kernel_id": "75199"}, {"ref": "amazingbob/notebook-e614c53db07d15a78616", "kernel_id": "73558"}, {"ref": "jesseh/exploratory-data-analysis", "kernel_id": "72432"}, {"ref": "jesseh/notebook-971b2c6afd6f00942b40", "kernel_id": "72434"}, {"ref": "flippke/bimbo-xgboost-r-script-lb-0-457", "kernel_id": "89650"}, {"ref": "varun2145/fread-much-faster-than-read-csv-read-csv", "kernel_id": "72511"}, {"ref": "satomacoto/notebook-7c2a623a33e8f07f21f4", "kernel_id": "84104"}, {"ref": "amoghborkar/exploring-products", "kernel_id": "72789"}, {"ref": "giritharanb/exploring-products", "kernel_id": "73203"}, {"ref": "giritharanb/exploratory-data-analysis", "kernel_id": "73204"}, {"ref": "elteik/elteik01", "kernel_id": "77405"}, {"ref": "elteik/notebook-9f101013075802dfad06", "kernel_id": "77418"}, {"ref": "elteik/notebook-1159da33b9a192febcff", "kernel_id": "77421"}, {"ref": "elteik/notebook-b1ccf15988d530ba12a7", "kernel_id": "76775"}, {"ref": "elteik/notebook-8cdb80c148ae2341a066", "kernel_id": "75671"}, {"ref": "elteik/notebook-15adc3fde069035e87ea", "kernel_id": "75643"}, {"ref": "elteik/notebook-60feaa181b3f210bd4a8", "kernel_id": "75644"}, {"ref": "elteik/proba", "kernel_id": "75645"}, {"ref": "elteik/notebook-050058733bbb45da0139", "kernel_id": "72588"}, {"ref": "xag105/notebook-6a4dd03a3948f334b768", "kernel_id": "77051"}, {"ref": "xag105/notebook-45f5d5a5a1255b8a07fe", "kernel_id": "77053"}, {"ref": "xag105/notebook-a084edfd0822dca1ae9f", "kernel_id": "77042"}, {"ref": "liamsch/notebook3c3f459659", "kernel_id": "90519"}, {"ref": "liamsch/data-exploration", "kernel_id": "87645"}, {"ref": "liamsch/fork-of-data-exploration", "kernel_id": "87658"}, {"ref": "rilesdg3/test543", "kernel_id": "84836"}, {"ref": "rilesdg3/notebook-d12c3e54134a8c953c81", "kernel_id": "84839"}, {"ref": "mlandry/h2o-gbm", "kernel_id": "70518"}, {"ref": "wjholst/based-on-log-mean-plus-wo-factors", "kernel_id": "79422"}, {"ref": "wjholst/notebook-998239bb0b46f40bf8bf", "kernel_id": "79855"}, {"ref": "wjholst/medianlinearregression", "kernel_id": "78290"}, {"ref": "kumareshd/bimbo-boosting-with-r", "kernel_id": "70519"}, {"ref": "kumareshd/bored-eda", "kernel_id": "69626"}, {"ref": "kumareshd/r-medians", "kernel_id": "71196"}, {"ref": "skdave/notebook-8c0a6d2353a14e91ad17", "kernel_id": "85093"}, {"ref": "castrillo/notebook-5b96d755e7adf122a27b", "kernel_id": "70243"}, {"ref": "birolkuyumcu/notebooke815b6ef23", "kernel_id": "85642"}, {"ref": "agarwalsneha/data-analysis", "kernel_id": "86242"}, {"ref": "valadi/log-mean-plus-lb-0-788-v4", "kernel_id": "78244"}, {"ref": "valadi/log-mean-plus-lb-1-0805", "kernel_id": "79186"}, {"ref": "valadi/runnes", "kernel_id": "74614"}, {"ref": "valadi/mean-median-lb-0-48-1", "kernel_id": "76203"}, {"ref": "valadi/log-means", "kernel_id": "76414"}, {"ref": "valadi/mean-median", "kernel_id": "75642"}, {"ref": "valadi/log-mean-plus-lb-0-4700-jay", "kernel_id": "84222"}, {"ref": "valadi/notebook-654f5e487f58a518489a", "kernel_id": "81397"}, {"ref": "valadi/log-mean-plus-lb-0-47-jay2", "kernel_id": "81663"}, {"ref": "valadi/log-mean-plus-lb-0-47-jay", "kernel_id": "80815"}, {"ref": "gustavodemari/inventory-demand-prediction", "kernel_id": "71314"}, {"ref": "gustavodemari/notebook-f0a183aa7b40dec23c61", "kernel_id": "74285"}, {"ref": "gustavodemari/notebook-41df139a6db91db08b4a", "kernel_id": "74322"}, {"ref": "gustavodemari/notebook-80bbd30865aca68afce7", "kernel_id": "74326"}, {"ref": "vykhand/exploring-products", "kernel_id": "70593"}, {"ref": "vykhand/notebook-04429a2e8a4bede00027", "kernel_id": "70497"}, {"ref": "vykhand/notebook-15b66a2f4949559a8be0", "kernel_id": "70499"}, {"ref": "semwaldeepali/exploratory-data-analysis", "kernel_id": "74636"}, {"ref": "gsirow/notebook-9472a7ef63df3e57600e", "kernel_id": "81347"}, {"ref": "gsirow/explore-data", "kernel_id": "81297"}, {"ref": "gsirow/notebook-5565a2e62bf86232c1de", "kernel_id": "81298"}, {"ref": "mohamedali/exploratory-data-analysis", "kernel_id": "69804"}, {"ref": "mohamedali/notebook-d235cccc2c176c899cf1", "kernel_id": "69877"}, {"ref": "makoamena/notebook-dfa3f24b88d053c16997", "kernel_id": "75226"}, {"ref": "analyzzer/wtfisthis", "kernel_id": "77119"}, {"ref": "analyzzer/wtfisthis1", "kernel_id": "77145"}, {"ref": "mathtick/exploratory-data-analysis", "kernel_id": "69872"}, {"ref": "abundrew/notebook-d2f2fe8161cb986acd7e", "kernel_id": "69947"}, {"ref": "shklovsky/testing", "kernel_id": "81301"}, {"ref": "hernanbruno/median-product-0-68749-on-lb", "kernel_id": "70076"}, {"ref": "hernanbruno/bimbo-boosting-with-r", "kernel_id": "70083"}, {"ref": "georgem/notebook-4f6e333b23aa4ea70bff", "kernel_id": "76066"}, {"ref": "georgem/notebookc461b8d143", "kernel_id": "92262"}, {"ref": "parthibangowthaman/log-mean-plus-lb-0-4700", "kernel_id": "91565"}, {"ref": "eneloop/notebook-495f5a4b7a6f7fcd8d83", "kernel_id": "74504"}, {"ref": "maslopo/notebook-0c8f4823e0a7838ccbda", "kernel_id": "70108"}, {"ref": "kobakhit/xgboost", "kernel_id": "71667"}, {"ref": "ofdomejean/r-example", "kernel_id": "78399"}, {"ref": "ruaridht/notebook-6b373a6a3ca8d165c5b9", "kernel_id": "71695"}, {"ref": "company/gbid-2", "kernel_id": "70543"}, {"ref": "company/gbid-1", "kernel_id": "69389"}, {"ref": "aramis/readtest", "kernel_id": "76447"}, {"ref": "aramis/notebook-408cd604eed867ddf9dd", "kernel_id": "76474"}, {"ref": "aramis/notebook-b201470b50284a9327ed", "kernel_id": "76490"}, {"ref": "aramis/notebook-fc5faf487507a575f64f", "kernel_id": "76492"}, {"ref": "aramis/products", "kernel_id": "76545"}, {"ref": "aramis/log-means-a", "kernel_id": "76556"}, {"ref": "santiagomota/log-mean-plus-lb-0-47", "kernel_id": "80039"}, {"ref": "santiagomota/log-mean-plus-lb-0-47-ver-3", "kernel_id": "80112"}, {"ref": "avinkoder/exploratory-data-analysis", "kernel_id": "71642"}, {"ref": "avinkoder/notebook-dba08dcd9520dbd2e207", "kernel_id": "71643"}, {"ref": "gopijey/notebook-38d8c8721530b99267fd", "kernel_id": "78642"}, {"ref": "juliakzn/products-clustering", "kernel_id": "76690"}, {"ref": "weiden/notebook-8cd9e6e5fa5b72003136", "kernel_id": "73226"}, {"ref": "agolubovich94/notebook-92a1e0ca700e9f108eb5", "kernel_id": "77890"}, {"ref": "y4suyuki/y4suyuki-bimbo", "kernel_id": "90920"}, {"ref": "lawrencewu/notebook6f8bceb04a", "kernel_id": "86347"}, {"ref": "ceshine/notebook-52c5fbaeabdc76e55fa0", "kernel_id": "73910"}, {"ref": "sgerat/exploratory-data-analysis", "kernel_id": "69854"}, {"ref": "sgerat/notebook-95f50a0251d082210fb6", "kernel_id": "69855"}, {"ref": "sgerat/notebook-8418cb2af5f472eb7e4b", "kernel_id": "69857"}, {"ref": "alexdlikman/bimbo", "kernel_id": "84167"}, {"ref": "alexdlikman/bimbo2", "kernel_id": "84168"}, {"ref": "deveshv/notebook-6a1cca92e80c0f739664", "kernel_id": "69862"}, {"ref": "is2clever/notebook-629c8b63b14a25b345a3", "kernel_id": "75364"}, {"ref": "shgidi/notebook93900bbb6a", "kernel_id": "89639"}, {"ref": "ericcouto/using-82-less-memory", "kernel_id": "84346"}, {"ref": "kaysuh/notebookf14d462b20", "kernel_id": "88953"}, {"ref": "ben519/visualize-predictions", "kernel_id": "92826"}, {"ref": "jamesallen/notebook-146914885b57bfb401bb", "kernel_id": "76178"}, {"ref": "jamesallen/notebook-6f689d35755c7a4925b3", "kernel_id": "76181"}, {"ref": "blindfish/notebookc01bb10531", "kernel_id": "89521"}, {"ref": "caohaiyuan/exploratory-data-analysis", "kernel_id": "69676"}, {"ref": "caohaiyuan/notebook-ccb30e9f51f05559277c", "kernel_id": "69651"}, {"ref": "elderkm2012/grupo-bimbo-data-analysis", "kernel_id": "84540"}, {"ref": "puneethmishra/notebook-b77b56d32dc5c737359d", "kernel_id": "70982"}, {"ref": "harishbchalam204/notebook-34350b66e03f8ab29985", "kernel_id": "74084"}, {"ref": "vinni482/notebook-e56a98644de1e8a80be2", "kernel_id": "82022"}, {"ref": "jbryant18/notebook12d0b2f9c8", "kernel_id": "89118"}, {"ref": "cuttlefish/notebook-7d916b58d0f54d6b9cd6", "kernel_id": "69682"}, {"ref": "anujprakash/first-run-py", "kernel_id": "69377"}, {"ref": "scholih/notebook-caee445c050b3fb7ec30", "kernel_id": "70648"}, {"ref": "scholih/notebook-bf14a8c7220b7162a708", "kernel_id": "70649"}, {"ref": "scholih/notebook-1177522e18190cc6bd36", "kernel_id": "70651"}, {"ref": "heaven/notebook54dc88152d", "kernel_id": "88871"}, {"ref": "aroutella/notebook-95d88c0230c8ff382563", "kernel_id": "75804"}, {"ref": "obswjc/notebook-304550973a595a63530f", "kernel_id": "80647"}, {"ref": "obswjc/notebook-7141238ea0494c2180e5", "kernel_id": "80654"}, {"ref": "shriramkumar/explore", "kernel_id": "77424"}, {"ref": "briantcs/exploring", "kernel_id": "70560"}, {"ref": "briantcs/notebook-2cbafb30897d2100e6fa", "kernel_id": "70177"}, {"ref": "briantcs/adjustment-on-reading-and-cleaning-data", "kernel_id": "70100"}, {"ref": "clever/exploratory-data-analysis", "kernel_id": "70295"}, {"ref": "clever/exploratory-data-analysis-forked", "kernel_id": "70308"}, {"ref": "clever/notebook-a13a4ba7e1f578988cee", "kernel_id": "70329"}, {"ref": "clever/notebook-2ff1b122b60133545811", "kernel_id": "70337"}, {"ref": "mattxl/notebook-405699901502bfc557e7", "kernel_id": "81570"}, {"ref": "soundwaveli00/arindam123", "kernel_id": "86136"}, {"ref": "neural1708/notebook-56086f4e54b342301a9a", "kernel_id": "74884"}, {"ref": "jwegas/letsbeginonceagain", "kernel_id": "70082"}, {"ref": "jwegas/salesbyseller", "kernel_id": "71861"}, {"ref": "ahaque/notebook-d57aedc71f6054947e09", "kernel_id": "76636"}, {"ref": "ahaque/notebook-50a5a73e3aedfd89610b", "kernel_id": "76637"}, {"ref": "yifanxie/notebook-ca361b3b78d376681ef5", "kernel_id": "81278"}, {"ref": "tomehta/bimboforecast", "kernel_id": "76810"}, {"ref": "mariotalavera/scriptnot", "kernel_id": "85033"}, {"ref": "evanvanness/mean-median", "kernel_id": "75608"}, {"ref": "bpavlyshenko/grupo-bimbo-xgboost-r-script", "kernel_id": "85868"}, {"ref": "bpavlyshenko/bimbo-xgboost-r-script-lb-0-457", "kernel_id": "85911"}, {"ref": "jkw552403/notebook0dbc679fcf", "kernel_id": "254386"}, {"ref": "jkw552403/notebook7048d49cb6", "kernel_id": "254189"}, {"ref": "jkw552403/notebook268342ee1b", "kernel_id": "244577"}, {"ref": "betterplace/exploring-products", "kernel_id": "76011"}, {"ref": "bigdatafan/notebook-bda9b860ea319015244f", "kernel_id": "77551"}, {"ref": "samsara0614/exploratory-data-analysis", "kernel_id": "82626"}, {"ref": "jimmybrown/notebook-961f1cf64b2466022ac1", "kernel_id": "70402"}, {"ref": "jimmybrown/notebook-772f07f5642483e226a6", "kernel_id": "70457"}, {"ref": "jimmybrown/notebook-d7112887688507cf9568", "kernel_id": "70459"}, {"ref": "jimmybrown/notebook-f9c4ab1422dff7d20616", "kernel_id": "70465"}, {"ref": "jimmybrown/notebook-b1a0a7858715b2b5a307", "kernel_id": "70468"}, {"ref": "potterxu/r-scripts", "kernel_id": "80586"}, {"ref": "potterxu/notebook-07e66b7803cb592d668b", "kernel_id": "80591"}, {"ref": "potterxu/r-scripts-demo", "kernel_id": "80592"}, {"ref": "potterxu/notebook-b9a0737f5be890a4dc48", "kernel_id": "70523"}, {"ref": "karthiv/fisrt-bimbo", "kernel_id": "69552"}, {"ref": "nilotpal/log-mean-plus-lb-1-088", "kernel_id": "79725"}, {"ref": "nilotpal/log-mean-plus-lb-0-4700a", "kernel_id": "87504"}, {"ref": "nilotpal/log-mean-plus-lb-0-47-jays", "kernel_id": "81513"}, {"ref": "jaycb26/log-means-m", "kernel_id": "76900"}, {"ref": "alexmulo/notebook-c8eaf0e6b564db24c043", "kernel_id": "71743"}, {"ref": "alexmulo/notebook-b27480b3da4fd9273199", "kernel_id": "71744"}, {"ref": "alexmulo/notebook-9f3832d73deca18dc1d9", "kernel_id": "76971"}, {"ref": "alexmulo/median-merge", "kernel_id": "76972"}, {"ref": "georgechao/grupo-bimbo-data-analysis", "kernel_id": "77768"}, {"ref": "aikinogard/xgboost", "kernel_id": "86805"}, {"ref": "mamarock/notebook-ebfd3be3f376f3ba715e", "kernel_id": "70066"}, {"ref": "jruales/notebook20a63a026b", "kernel_id": "89486"}, {"ref": "vxld014/notebook-eb18c2fe0f06c8c8b282", "kernel_id": "69591"}, {"ref": "amitchoudhary/log-lb", "kernel_id": "80005"}, {"ref": "amitchoudhary/log-lb-v1-0", "kernel_id": "81813"}, {"ref": "amitchoudhary/prediction-mean", "kernel_id": "92351"}, {"ref": "mikezawitkowski/notebook-8ce52bd9a7368030ce75", "kernel_id": "69910"}, {"ref": "mikezawitkowski/notebook-cb99203243aeeb3574e6", "kernel_id": "70714"}, {"ref": "mikezawitkowski/notebook-af844f44f0f95b7dd85a", "kernel_id": "72448"}, {"ref": "mikezawitkowski/scriptpracticeinthekeyofr", "kernel_id": "72453"}, {"ref": "mikezawitkowski/notebook-071f28d432ca6cc1f598", "kernel_id": "72461"}, {"ref": "mikezawitkowski/notebook-aa87720d9f6a59d88c29", "kernel_id": "72723"}, {"ref": "neitzel/bimbo-xgboost-r-script-lb-0-457", "kernel_id": "91164"}, {"ref": "mayank19876/notebook-9d05d130f340afd88b1b", "kernel_id": "69719"}, {"ref": "dixitgaurav/arindam123", "kernel_id": "91003"}, {"ref": "joshuacortez/notebook-ae35222683493c11d351", "kernel_id": "77856"}, {"ref": "sebasibarguen/bimbo-sales", "kernel_id": "86792"}, {"ref": "ashishsehgal/notebookf35130d098", "kernel_id": "87242"}, {"ref": "pshelokar/prakbimbo", "kernel_id": "70223"}, {"ref": "yogihbti/exploredata-bimbo", "kernel_id": "70382"}, {"ref": "barrosm/exploring-products", "kernel_id": "74408"}, {"ref": "barrosm/exploratory-data-analysis", "kernel_id": "69542"}, {"ref": "barrosm/notebook-6668820edf5157d023df", "kernel_id": "71274"}, {"ref": "stratadragoon/notebook-82d3ad79be1e14ae2d96", "kernel_id": "74187"}, {"ref": "themis/exploring-products", "kernel_id": "72601"}, {"ref": "themis/notebook-90f7e4f4fab48c550f3a", "kernel_id": "72602"}, {"ref": "jchou24/notebook-8bb890464b3c30eccd18", "kernel_id": "82409"}, {"ref": "jchou24/notebook-cc25137e13176de8f5b9", "kernel_id": "82379"}, {"ref": "henrilin28/first-script-for-kaggle", "kernel_id": "72969"}, {"ref": "voidpointer/a-dad-beer-or-bread-eda", "kernel_id": "70025"}, {"ref": "namra42/product-preprocessing", "kernel_id": "70564"}, {"ref": "poiss0nriot/notebook-f64ec69d183facf4d4f7", "kernel_id": "76065"}, {"ref": "poiss0nriot/notebook-1bc9cc0f9aa56f6f7aef", "kernel_id": "75277"}, {"ref": "poiss0nriot/notebook-e47cb0183a76dd3a1661", "kernel_id": "75224"}, {"ref": "poiss0nriot/notebook-0256f705574acc84233f", "kernel_id": "74922"}, {"ref": "poiss0nriot/classifying-client-type-using-client-names", "kernel_id": "90729"}, {"ref": "ashwinm/notebook-844ad6e12444066d295f", "kernel_id": "69965"}, {"ref": "ashwinm/notebook-ed277c0b567300e1b613", "kernel_id": "69961"}, {"ref": "ashwinm/notebook-b5a80dd4b7b8a8bbd776", "kernel_id": "69952"}, {"ref": "ashwinm/notebook-052e76e2d09835b9977e", "kernel_id": "70520"}, {"ref": "alexargus/notebook-32be2bb80eb22dd8dede", "kernel_id": "73895"}, {"ref": "rninja/notebook17ff111e57", "kernel_id": "88689"}, {"ref": "avinashrai/notebook-673d17ca14e9221b9a5e", "kernel_id": "72824"}, {"ref": "avinashrai/agnecia-meidan", "kernel_id": "71857"}, {"ref": "avinashrai/h2o-ai", "kernel_id": "71819"}, {"ref": "avinashrai/r-median", "kernel_id": "71697"}, {"ref": "danielsafai/notebooka731bae286", "kernel_id": "91768"}, {"ref": "maheshgurav/client-duplicate-identification", "kernel_id": "72821"}, {"ref": "renegarxia/latest-weeks-py", "kernel_id": "72033"}, {"ref": "renegarxia/mean-median", "kernel_id": "74958"}, {"ref": "jcqedai/classifying-client-type-using-client-names", "kernel_id": "92187"}, {"ref": "davidbofill/prova", "kernel_id": "69621"}, {"ref": "eddyod/simple-media-py", "kernel_id": "70951"}, {"ref": "ddrbcn/exploring", "kernel_id": "84627"}, {"ref": "ddrbcn/preprocessing-for-products2", "kernel_id": "77788"}, {"ref": "ddrbcn/basic-preprocessing-for-products", "kernel_id": "77374"}, {"ref": "ahoyosid/notebook-460a1e0119a1d27d1175", "kernel_id": "77497"}, {"ref": "rafeltaye/notebook9d935d14e1", "kernel_id": "118347"}, {"ref": "ynreaugk/notebooke82855ad9e", "kernel_id": "87553"}, {"ref": "isuranimalasiri/grupo-bimbo-data-analysis", "kernel_id": "79211"}, {"ref": "isuranimalasiri/traindataimpoter", "kernel_id": "80010"}, {"ref": "isuranimalasiri/notebook-459823fc9e4bdc85cde6", "kernel_id": "80413"}, {"ref": "isuranimalasiri/datacleaner", "kernel_id": "80414"}, {"ref": "abiirokzz/r-medians-lb-0-50738", "kernel_id": "73577"}, {"ref": "jackytu256/notebook-63b0248e5940a3d5eee3", "kernel_id": "71864"}, {"ref": "jackytu256/notebook-4c965a36d9fac492dfb9", "kernel_id": "71866"}, {"ref": "jackytu256/notebook-00e3c78b15a5ef27f35a", "kernel_id": "71855"}, {"ref": "srimanta/notebook-8c059971916832dd1e2b", "kernel_id": "79242"}, {"ref": "jindal/notebook294e85189c", "kernel_id": "90186"}, {"ref": "austinharrison/exploratory-data-analysis", "kernel_id": "69533"}, {"ref": "dvoznyuk/notebook-d86c4b99906582640fd9", "kernel_id": "75411"}, {"ref": "dvoznyuk/atestscript1", "kernel_id": "75412"}, {"ref": "daolam/exploring-products", "kernel_id": "86567"}, {"ref": "einvasion/notebook-029aae6ea1c4d2c41b74", "kernel_id": "71279"}, {"ref": "kvn219/01-preprocessing", "kernel_id": "72989"}, {"ref": "zhenjuan/bimbo-data-exploration", "kernel_id": "87793"}, {"ref": "evaxue/product-txt-clean-format", "kernel_id": "74171"}, {"ref": "marksman/exploratory-data-analysis", "kernel_id": "69695"}, {"ref": "krvperera/simple-xgboost-week-9", "kernel_id": "89434"}, {"ref": "krvperera/classifying-client-type-using-client-names", "kernel_id": "90032"}, {"ref": "krvperera/notebook-5e6fea3df0071f11c8db", "kernel_id": "75429"}, {"ref": "krvperera/notebook-8bdac8e11d1421c37de8", "kernel_id": "74850"}, {"ref": "krvperera/notebook-45b4984f22a9476145ae", "kernel_id": "74675"}, {"ref": "krvperera/notebook-e50196a8a32f69304e49", "kernel_id": "74342"}, {"ref": "krvperera/notebook-6cad083d90180f9f6a49", "kernel_id": "74344"}, {"ref": "krvperera/notebook-9a5a6cc2bea68ec89cb0", "kernel_id": "74355"}, {"ref": "krvperera/notebook-8a3d32cb94abbb6694b7", "kernel_id": "81426"}, {"ref": "krvperera/notebook-d6b6610c3c3577815769", "kernel_id": "81418"}, {"ref": "krvperera/exploratory-data-analysis", "kernel_id": "72810"}, {"ref": "krvperera/exploring-products", "kernel_id": "72811"}, {"ref": "lahirumadushanka/medean", "kernel_id": "89127"}, {"ref": "lahirumadushanka/sort-and-download", "kernel_id": "89780"}, {"ref": "lahirumadushanka/small-change", "kernel_id": "88492"}, {"ref": "lahirumadushanka/create-features", "kernel_id": "88400"}, {"ref": "pathi108/decison-trees", "kernel_id": "78979"}, {"ref": "eyurtsev/exploratory-data-analysis", "kernel_id": "70723"}, {"ref": "eyurtsev/notebook-e95080fb0aff1c174209", "kernel_id": "70724"}, {"ref": "eyurtsev/my-test-script", "kernel_id": "70725"}, {"ref": "datasherlocked/grupo-bimbo", "kernel_id": "76232"}, {"ref": "datasherlocked/notebook-1229c7d4631c93b5c2ad", "kernel_id": "76230"}, {"ref": "jammer/notebook-5d5f646c467b31ff8b2a", "kernel_id": "84240"}, {"ref": "jammer/notebook-be67b75cb692c472e46e", "kernel_id": "84250"}, {"ref": "jammer/notebook-853fa5d36bf0134ba509", "kernel_id": "84251"}, {"ref": "jammer/notebook-dded9b3da56e4f1b3f9b", "kernel_id": "84252"}, {"ref": "jammer/notebook-098837eb08e21faf123a", "kernel_id": "84253"}, {"ref": "jammer/notebook-2a786c6c156f57e18879", "kernel_id": "84256"}, {"ref": "jammer/notebook-c188ce5af394f4a9dfbd", "kernel_id": "84257"}, {"ref": "scirpus/ftlr-use-pypy", "kernel_id": "74578"}, {"ref": "lebroschar/make-time-series-training-data", "kernel_id": "80827"}, {"ref": "sohomghosh/notebook-87a839144813b594d823", "kernel_id": "72816"}, {"ref": "shuimuxixiha/test-1", "kernel_id": "84684"}, {"ref": "shuimuxixiha/notebook-d0d7de92c5e01e1eb32c", "kernel_id": "84685"}, {"ref": "shuimuxixiha/notebook-ef934c6a7708a44b06bf", "kernel_id": "84687"}, {"ref": "shuimuxixiha/notebook-493dd63ee5c906b61219", "kernel_id": "84682"}, {"ref": "radupadu/notebook-903e55c47d25cacec9df", "kernel_id": "69532"}, {"ref": "hulkbulk/log-means-m", "kernel_id": "76889"}, {"ref": "sefficohen/notebook-e79914d2361d494d831b", "kernel_id": "69715"}, {"ref": "mamadashi/notebook-7d9aa58866efcf60ea1c", "kernel_id": "84890"}, {"ref": "adityagudimella/exploratory-data-analysis", "kernel_id": "70678"}, {"ref": "armalali/notebook-3fedb32d2b0315a825e8", "kernel_id": "70287"}, {"ref": "armalali/benchmark-medians", "kernel_id": "70284"}, {"ref": "yinghawl/notebook-03e79dd9a7a0abb2671e", "kernel_id": "69628"}, {"ref": "yinghawl/notebook-762b9ec86e6cf24f77ca", "kernel_id": "69629"}, {"ref": "yinghawl/notebook-d62cdfdb33fe1f113726", "kernel_id": "84712"}, {"ref": "yinghawl/exploring-products", "kernel_id": "79504"}, {"ref": "yinghawl/notebook-83a8c3c5afa1fa358eb4", "kernel_id": "79510"}, {"ref": "nikhilhegde9/grupo-bimbo-data-analysis-details", "kernel_id": "84264"}, {"ref": "nikhilhegde9/bimboo-123-123", "kernel_id": "80172"}, {"ref": "nikhilhegde9/bimboo-final5", "kernel_id": "81270"}, {"ref": "nikhilhegde9/bimboo-final-1", "kernel_id": "81555"}, {"ref": "sandeepvja/test-script", "kernel_id": "89216"}, {"ref": "phildeutsch/exploratory-data-analysis", "kernel_id": "70584"}, {"ref": "dbgriffith01/classifying-client-type-using-client-names", "kernel_id": "90163"}, {"ref": "mlimli/notebook-b5c846879a832bd4a89b", "kernel_id": "77571"}, {"ref": "ravnboel/foersteforsoeg", "kernel_id": "79440"}, {"ref": "sheraz/exploratory-data-analysis", "kernel_id": "70526"}, {"ref": "ionkle/notebook-39ae64f9edc58e783c11", "kernel_id": "74574"}, {"ref": "shenzhenlu/notebook-f08a13b5b2047171cf64", "kernel_id": "70234"}, {"ref": "shenzhenlu/notebook-d52271269dc60f701b4a", "kernel_id": "70238"}, {"ref": "shenzhenlu/notebook-4b8240d7e61bf83552dd", "kernel_id": "70239"}, {"ref": "kstephano/notebook-6ae9446053d6562dd016", "kernel_id": "81760"}, {"ref": "radvin/uncertain-demand-forecasting", "kernel_id": "90958"}, {"ref": "wyhgood/notebook-186851f57ca47c9c42fe", "kernel_id": "75142"}, {"ref": "wyhgood/exploring-products", "kernel_id": "74445"}, {"ref": "tcsiwula/notebook-4b0e6934ad480032f017", "kernel_id": "71572"}, {"ref": "tcsiwula/notebook-91a636bbfb4ca7be209e", "kernel_id": "71581"}, {"ref": "jalfaizy/trial1", "kernel_id": "85942"}, {"ref": "haoshengluo/notebook-4024d0e9c7871a562076", "kernel_id": "77066"}, {"ref": "haoshengluo/test-intial", "kernel_id": "77297"}, {"ref": "ryutek/bimbo-xgboost-r-script-test", "kernel_id": "89366"}, {"ref": "karteeksai/grupo-draft-sai", "kernel_id": "75750"}, {"ref": "karteeksai/bimbo-sai-draft", "kernel_id": "75752"}, {"ref": "karteeksai/newscriptforbimbo", "kernel_id": "76094"}, {"ref": "shashankbhasker/exploratory-data-analysis", "kernel_id": "69882"}, {"ref": "willpmcgehee/notebook-e0df8370c238bb278dda", "kernel_id": "74566"}, {"ref": "tdcolorado/notebook4e66a31d95", "kernel_id": "93494"}, {"ref": "ywenlu/notebook-7c4e0d75d313911eff27", "kernel_id": "81462"}, {"ref": "vishrathi/notebook-cf8582ce955285b0bb5d", "kernel_id": "79857"}, {"ref": "vishrathi/notebook-dbae11f5584222341362", "kernel_id": "79859"}, {"ref": "dinolew/exploring-products", "kernel_id": "79026"}, {"ref": "robinett/notebook-1b858f707c822bc3b3c7", "kernel_id": "77189"}, {"ref": "ashishdutt/notebook-093006808d6d6bbc9d00", "kernel_id": "69718"}, {"ref": "ashishdutt/exploratory-data-analysis-4", "kernel_id": "69694"}, {"ref": "amhchiu/notebook-d3cdf82d7f2baca13c6e", "kernel_id": "74360"}, {"ref": "wszjzhang/notebook-d3ac404af403399d737c", "kernel_id": "74079"}, {"ref": "neerajgarg/notebook-9b2b4208ab77dfb81af9", "kernel_id": "70794"}, {"ref": "neerajgarg/simple-bimbo-solution", "kernel_id": "70796"}, {"ref": "avonoz/notebook-654b0ee95c00d57a2e78", "kernel_id": "79355"}, {"ref": "krosh88/notebook-4c37b62258b157170ef9", "kernel_id": "75451"}, {"ref": "aaronsmith/notebook-7736b172ad9a9eca039a", "kernel_id": "69623"}, {"ref": "alokbhatt/log-mean-plus-lb-0-47-jay2", "kernel_id": "82174"}, {"ref": "jrlund/notebook-2c7f30258beeebc93612", "kernel_id": "78749"}, {"ref": "jrlund/notebook-2307beb2d248f03cf550", "kernel_id": "78402"}, {"ref": "jrlund/exploring-products", "kernel_id": "78384"}, {"ref": "akilan/notebook-b7381033efaa7da4d71f", "kernel_id": "70051"}, {"ref": "akilan/notebook-2ff3682a4181e42b04f8", "kernel_id": "70043"}, {"ref": "seanwang/notebook-9a45be0126cef01209a9", "kernel_id": "85602"}, {"ref": "seanwang/notebook2bb59fa70c", "kernel_id": "92970"}, {"ref": "iamraymond21/log-mean-plus-lb-0-47", "kernel_id": "80412"}, {"ref": "ivadev/notebooka409dd4719", "kernel_id": "90860"}, {"ref": "maniaki/test123-my-first-test", "kernel_id": "80021"}, {"ref": "dzhlzv/notebook-a6e1de0daaf685359a94", "kernel_id": "76609"}, {"ref": "tyhukg/notebook-a00325d6856b07316f66", "kernel_id": "73683"}, {"ref": "tyhukg/bimbo-python", "kernel_id": "73684"}, {"ref": "tatabox/exploratory-data-analysis", "kernel_id": "71184"}, {"ref": "harshratde/notebookd812e0aaf8", "kernel_id": "205281"}, {"ref": "nicholashartmann/bimbo", "kernel_id": "77268"}, {"ref": "willgraf/xgbimbo-python-implementation", "kernel_id": "92859"}, {"ref": "criloz/exploring-products", "kernel_id": "74583"}, {"ref": "yuichiiwanami/notebook-632e4b304358e7cb461c", "kernel_id": "76947"}, {"ref": "anjaliguptaarya/notebook-e55ff79d423b4b29d8fe", "kernel_id": "83861"}, {"ref": "kelexu/0-48881", "kernel_id": "75971"}, {"ref": "kelexu/new-version", "kernel_id": "76036"}, {"ref": "shankarpandala/arindam123", "kernel_id": "87880"}, {"ref": "yuchiliu/notebook-b01c4ea8972e033683f1", "kernel_id": "84587"}, {"ref": "pbaier/notebook-72c483e5ca59fb828b7c", "kernel_id": "76304"}, {"ref": "pbaier/test12434asdf", "kernel_id": "76306"}, {"ref": "ymcdull/notebook-23baacffaf7d1366cf41", "kernel_id": "69485"}, {"ref": "ybabakhin/products-clustering", "kernel_id": "74090"}, {"ref": "fsimond/r-medians", "kernel_id": "71098"}, {"ref": "jayaeu/notebook-9da4b9ef68fba6e75ff2", "kernel_id": "79713"}, {"ref": "jayaeu/notebook-879358ca18d54fba44bf", "kernel_id": "79705"}, {"ref": "margaret/exploring-products", "kernel_id": "73129"}, {"ref": "margaret/notebook-fc4791e4c7d036249b7b", "kernel_id": "73130"}, {"ref": "keisho/notebook-0dba778654f5b756ea46", "kernel_id": "79906"}, {"ref": "keisho/notebook-e39be316f2b1eb002579", "kernel_id": "79956"}, {"ref": "keisho/notebook-d6f82ae91c9c84402a3b", "kernel_id": "79966"}, {"ref": "keisho/notebook-fee61ed051d26b01b6ff", "kernel_id": "79967"}, {"ref": "keisho/notebook-8a370e17023c290d2223", "kernel_id": "79958"}, {"ref": "keisho/notebook-070152fed407fc657a49", "kernel_id": "79960"}, {"ref": "keisho/notebook-6dbebd81049d4af3b7a6", "kernel_id": "79961"}, {"ref": "kamalkishor1991/basic-data-exploration", "kernel_id": "71977"}, {"ref": "kamalkishor1991/notebook-10f9d61b631a9a258e69", "kernel_id": "71980"}, {"ref": "kamalkishor1991/notebook-cbbd42a56f16f2a7273b", "kernel_id": "71993"}, {"ref": "talhalpern/notebook-efdd2bdd5fd76e3c5fa7", "kernel_id": "76341"}, {"ref": "mtfall/mytest", "kernel_id": "78558"}, {"ref": "taylor/notebook-2efcdb51e00d14b2f33f", "kernel_id": "71068"}, {"ref": "taylor/notebook-86adc20315de12ad4de7", "kernel_id": "71030"}, {"ref": "taylor/notebook-17c8cf26387dd296e43e", "kernel_id": "71084"}, {"ref": "taylor/cbt-second-try", "kernel_id": "69603"}, {"ref": "taylor/notebook-17f96fa5cf7515177fae", "kernel_id": "69605"}, {"ref": "taylor/notebook-304fffb950ed31021348", "kernel_id": "69570"}, {"ref": "taylor/notebook-d6b7d466aa5d68a459fe", "kernel_id": "70775"}, {"ref": "xiaoyuwang/notebook-3ccee7fcf4fd6f0753ae", "kernel_id": "73706"}, {"ref": "xiaoyuwang/notebook-90eb39fa4d09f07edffb", "kernel_id": "73708"}, {"ref": "maxpowerwastaken/notebook-4da12fed577bec831c47", "kernel_id": "70555"}, {"ref": "maxpowerwastaken/rmsle-for-over-vs-under-prediction", "kernel_id": "70484"}, {"ref": "maxpowerwastaken/notebook-6aa1fa9c07e85b824921", "kernel_id": "71042"}, {"ref": "maxpowerwastaken/notebook-eb656f33852f0cb0d49d", "kernel_id": "71036"}, {"ref": "maxpowerwastaken/notebook-fe2dff5d887580c53236", "kernel_id": "71057"}, {"ref": "maxpowerwastaken/plotting-rmsle-for-over-vs-under-preds", "kernel_id": "71058"}, {"ref": "karma86/log-mean-plus-lb-0-788-v4", "kernel_id": "78413"}, {"ref": "jaydentan/notebook-6e77f7aaac71f739c651", "kernel_id": "78035"}, {"ref": "jaydentan/notebook-1a0dfd07f463fc3d0e17", "kernel_id": "77826"}, {"ref": "jaydentan/notebook373e2020b6", "kernel_id": "86632"}, {"ref": "datamagic/notebook6c85dd22a7", "kernel_id": "90033"}, {"ref": "theduuuude/notebook-0d028e5fcbffe625feb5", "kernel_id": "70191"}, {"ref": "shagog/exploring-products", "kernel_id": "74225"}, {"ref": "shagog/exploratory-data-analysis", "kernel_id": "70680"}, {"ref": "achtungbaby/exploring-products", "kernel_id": "85812"}, {"ref": "achtungbaby/notebook-6847c11ff5cc0351807f", "kernel_id": "85284"}, {"ref": "v8v8v8/notebook-ba8af17ba14875ea253a", "kernel_id": "75463"}, {"ref": "v8v8v8/notebook-c2b41d05582d7f462a90", "kernel_id": "75464"}, {"ref": "antyale/notebook-107843b6f4224fdd177c", "kernel_id": "76212"}, {"ref": "alexia/notebook-5eb88d31455ff3484497", "kernel_id": "70260"}, {"ref": "sc151491124/testkernel", "kernel_id": "80865"}, {"ref": "khaledfayed/exploratory-data-analysis", "kernel_id": "69925"}, {"ref": "khaledfayed/log-mean-plus-lb-0-4700", "kernel_id": "88929"}, {"ref": "chechir/log-mean-plus-lb-0-47-jay2", "kernel_id": "81933"}, {"ref": "chechir/log-mean-plus-lb-0-47", "kernel_id": "84788"}, {"ref": "alizaf/notebook-aff3af96898bafdef6a6", "kernel_id": "81675"}, {"ref": "krrish1729/exploring-products", "kernel_id": "76875"}, {"ref": "krrish1729/analyzingproducts", "kernel_id": "76877"}, {"ref": "krrish1729/notebook-35aa13811d33ea31f736", "kernel_id": "76883"}, {"ref": "krrish1729/notebook-38ff5242bd7d4e379fc9", "kernel_id": "77588"}, {"ref": "krrish1729/notebook-c52afc7ba5da942515c7", "kernel_id": "77589"}, {"ref": "andersonfranca/exploring-products", "kernel_id": "78291"}, {"ref": "njimenezcol/exploratory-data-analysis", "kernel_id": "77251"}, {"ref": "njimenezcol/notebook-731ce25261839e8c9ec4", "kernel_id": "77252"}, {"ref": "statsfreak/readfile", "kernel_id": "80409"}, {"ref": "statsfreak/notebook-82c893d09223ec6ec7d9", "kernel_id": "80401"}, {"ref": "statsfreak/notebook-7ebf88ee823e2e6ee720", "kernel_id": "80364"}, {"ref": "deekaushal/notebook-b4cd1a65e6da12e8123c", "kernel_id": "69536"}, {"ref": "deekaushal/exploratory-data-analysis", "kernel_id": "70599"}, {"ref": "deekaushal/explore", "kernel_id": "70600"}, {"ref": "antediemterzium/notebook-f3af5ea779cbfdd047b1", "kernel_id": "85548"}, {"ref": "antediemterzium/notebook-8a45fa7b9614cb09da86", "kernel_id": "81754"}, {"ref": "antediemterzium/notebook-27b834591ff5fbea5233", "kernel_id": "80854"}, {"ref": "antediemterzium/notebook-0e2e15d1d2a11029103f", "kernel_id": "80861"}, {"ref": "antediemterzium/notebook-5b718d71b82be83fa709", "kernel_id": "80862"}, {"ref": "antediemterzium/notebook-d3ed383befeceb3718b9", "kernel_id": "80863"}, {"ref": "antediemterzium/log-mean-plus-lb-0-47-jay", "kernel_id": "80869"}, {"ref": "antediemterzium/notebook-e51d275d54ac5e486857", "kernel_id": "80873"}, {"ref": "antediemterzium/notebook-7fa270e83e0fa1964f9f", "kernel_id": "80878"}, {"ref": "antediemterzium/notebook-da8cbb004799c107a423", "kernel_id": "80904"}, {"ref": "antediemterzium/notebook-39443d94540ae11cb7aa", "kernel_id": "80931"}, {"ref": "antediemterzium/notebook-f48eb9d5b0be407af1ff", "kernel_id": "80929"}, {"ref": "antediemterzium/notebook-143103067f720842ffb4", "kernel_id": "82816"}, {"ref": "antediemterzium/notebook-5661d4d075a8110b380f", "kernel_id": "81834"}, {"ref": "antediemterzium/notebook-9ba7098752e914ee282e", "kernel_id": "82099"}, {"ref": "antediemterzium/notebook-cc53ee3f8c880ce748a7", "kernel_id": "75077"}, {"ref": "antediemterzium/notebook-2a574b1d20ef73263a0a", "kernel_id": "75078"}, {"ref": "antediemterzium/notebook-80e143d474021841dd43", "kernel_id": "75718"}, {"ref": "antediemterzium/scripto", "kernel_id": "75719"}, {"ref": "antediemterzium/notebookfd496f50ce", "kernel_id": "89238"}, {"ref": "antediemterzium/notebook0d8b044a81", "kernel_id": "89220"}, {"ref": "antediemterzium/notebook-434a2aa2e970292cbff8", "kernel_id": "70817"}, {"ref": "antediemterzium/notebook-def9d519893150baaab5", "kernel_id": "69519"}, {"ref": "antediemterzium/notebook-345ac2d050b232faccb6", "kernel_id": "69521"}, {"ref": "antediemterzium/notebook-2e669d6953b48dc6e6de", "kernel_id": "69434"}, {"ref": "antediemterzium/notebook-f2c28421dcd5687fcf6e", "kernel_id": "69441"}, {"ref": "antediemterzium/notebook-bc25ff0ac9e1a3c4e378", "kernel_id": "69409"}, {"ref": "sahibachopra/notebook-48f88912b0af1df3bc29", "kernel_id": "82078"}, {"ref": "sdesoto/notebook-8e8c26e89820365f54c6", "kernel_id": "80803"}, {"ref": "alicelane/first-testing", "kernel_id": "75628"}, {"ref": "teamplayer/notebook-f517525df583337fffd0", "kernel_id": "78348"}, {"ref": "cfretter/first", "kernel_id": "79208"}, {"ref": "cfretter/notebook-477f710106bbf4253827", "kernel_id": "79209"}, {"ref": "faalbo/exploring-products", "kernel_id": "74378"}, {"ref": "prakashanand/notebook-102572d1cb407d4b90ce", "kernel_id": "76473"}, {"ref": "prakashanand/notebook-6b1f0e66669ddedf81bc", "kernel_id": "76513"}, {"ref": "prakashanand/notebook-31a67b0031c27ac73954", "kernel_id": "76493"}, {"ref": "prakashanand/notebook-87131ddce9aa918ceae5", "kernel_id": "76498"}, {"ref": "prakashanand/notebook-d71f9542b5adde21c230", "kernel_id": "76499"}, {"ref": "prakashanand/notebook-2e93c56ff45c295a62aa", "kernel_id": "76459"}, {"ref": "prakashanand/notebook-f34bdca8b556290ed4af", "kernel_id": "76461"}, {"ref": "prakashanand/notebook-760e7a59f026475dfa3a", "kernel_id": "76455"}, {"ref": "prakashanand/notebook-62f6478dd853fc4bfb73", "kernel_id": "76466"}, {"ref": "etelliez/analyse-gb", "kernel_id": "76603"}, {"ref": "etelliez/analyse", "kernel_id": "76600"}, {"ref": "etelliez/notebook-d338c1c022ca13655fbb", "kernel_id": "76601"}, {"ref": "abhilashawasthi/classifying-client-type-using-client-names", "kernel_id": "91506"}, {"ref": "abhilashawasthi/tryingr65", "kernel_id": "76841"}, {"ref": "arturocm/bimbo-test", "kernel_id": "76370"}, {"ref": "arturocm/notebook-6e7703678b82717ec9e2", "kernel_id": "76371"}, {"ref": "pray4y/notebook-3a5780b91a002094a324", "kernel_id": "74230"}, {"ref": "jagpreet1058/grupo-bimbo-data-visualization", "kernel_id": "90909"}, {"ref": "esawtooth/notebook-8d5ead209231815d0db3", "kernel_id": "76748"}, {"ref": "esawtooth/simple-prediction", "kernel_id": "76749"}, {"ref": "vikikrishna/h2o-gbm", "kernel_id": "73401"}, {"ref": "yglsmith/exploring-products", "kernel_id": "80518"}, {"ref": "yglsmith/notebook-2952afd206b6ae6e4929", "kernel_id": "80521"}, {"ref": "yglsmith/classifying-client-type-using-client-names", "kernel_id": "91926"}, {"ref": "ameybhole/notebook-9bbff06a7644887fd1ef", "kernel_id": "71630"}, {"ref": "edstatecollege/notebook-93838890adf2b495aac0", "kernel_id": "82761"}, {"ref": "marziye/mean-log", "kernel_id": "76737"}, {"ref": "marziye/notebook-6786f96b89026969fe3c", "kernel_id": "76604"}, {"ref": "marziye/notebook-83babf0f10f6e03f3bef", "kernel_id": "76465"}, {"ref": "marziye/notebook-65801dd0b992f9f7b8f7", "kernel_id": "76387"}, {"ref": "marziye/fit-distribution", "kernel_id": "76388"}, {"ref": "marziye/notebook-f9dfc5c0ea6046303f4f", "kernel_id": "76467"}, {"ref": "marziye/notebook-54a4ec2f03bf34cf381b", "kernel_id": "76438"}, {"ref": "cankoklu/first", "kernel_id": "69833"}, {"ref": "cankoklu/notebook-45e21cefcfa3ce23a043", "kernel_id": "71639"}, {"ref": "cankoklu/preprocess-sample", "kernel_id": "71640"}, {"ref": "minigolf/data-check", "kernel_id": "75292"}, {"ref": "minigolf/notebook-ec71dc7e22b5143c627d", "kernel_id": "75296"}, {"ref": "matt605/notebook-15f9bfa2ae6e69975ea1", "kernel_id": "71148"}, {"ref": "kle318/notebook-c38444b3b72478ed9433", "kernel_id": "71529"}, {"ref": "kle318/notebook-dd8787dfa9dacd4f7e11", "kernel_id": "71530"}, {"ref": "cfdrake/test-script", "kernel_id": "93645"}, {"ref": "divyangjp/bakery-data-analysis-and-prediction", "kernel_id": "211268"}, {"ref": "andrewedwards/aedwards-bimbo", "kernel_id": "88806"}, {"ref": "semionn/notebook-69fd318c2b2bc84eef99", "kernel_id": "73285"}, {"ref": "swapniljariwala/basic-checks", "kernel_id": "69412"}, {"ref": "neeraj150783/notebook-b4c32cd23e63a845e732", "kernel_id": "69668"}, {"ref": "neeraj150783/exploratory-data-analysis", "kernel_id": "69671"}, {"ref": "patcoady/transform-and-predict-dplyr-xgb", "kernel_id": "86974"}, {"ref": "patcoady/submission-script-dplyr-xgboost", "kernel_id": "86916"}, {"ref": "patcoady/time-series-to-features-labels-rows", "kernel_id": "86518"}, {"ref": "njirafe/notebook-d6817a649219eb4b85dc", "kernel_id": "77309"}, {"ref": "viktor/notebook350b47cf77", "kernel_id": "91262"}, {"ref": "viktor/notebook5a6a2133e6", "kernel_id": "92016"}, {"ref": "hhh920406/notebook-e7e6c38ee29a0854a9dc", "kernel_id": "72545"}, {"ref": "hhh920406/notebook-9140d6b8f740b031c7b4", "kernel_id": "72855"}, {"ref": "hhh920406/exploratory-data-analysis", "kernel_id": "71539"}, {"ref": "hhh920406/notebook-b774362cfe3cd4d49323", "kernel_id": "73039"}, {"ref": "zveroloff/log-mean-plus-lb-0-4700", "kernel_id": "90088"}, {"ref": "happyxie/testbimbo", "kernel_id": "75211"}, {"ref": "happyxie/notebook-9b2cd59e6e57a8f70b3e", "kernel_id": "75212"}, {"ref": "happyxie/notebook-274aa8cf3fecfe771d53", "kernel_id": "75213"}, {"ref": "abednadir/notebook-3d6d9577014a1cb6729d", "kernel_id": "76695"}, {"ref": "abednadir/awercawec", "kernel_id": "76696"}, {"ref": "abednadir/notebook-e77e0900c06991896756", "kernel_id": "76697"}, {"ref": "abednadir/adgfasg", "kernel_id": "76678"}, {"ref": "abednadir/notebook-64f3511a657f35efd852", "kernel_id": "76679"}, {"ref": "ciphurus/notebook-70ecb4a336f4906299da", "kernel_id": "70244"}, {"ref": "ciphurus/notebook-92417173716d1a594172", "kernel_id": "74252"}, {"ref": "ciphurus/notebook-89dd19875b8aa6332af2", "kernel_id": "73081"}, {"ref": "manelbaradad/notebook-5a334ba3b018e5ec153c", "kernel_id": "77956"}, {"ref": "manelbaradad/notebook-5eb49fc0781882042cbe", "kernel_id": "77948"}, {"ref": "jkger87/notebook-48779e94a0c259d76e4d", "kernel_id": "73849"}, {"ref": "jkger87/test-1", "kernel_id": "73850"}, {"ref": "yiyihuijia/first", "kernel_id": "75627"}, {"ref": "yiyihuijia/notebook-0c5ef93d1285ce498b7a", "kernel_id": "75701"}, {"ref": "yiyihuijia/notebook-fb3dadeb3c7f87cb8798", "kernel_id": "75703"}, {"ref": "yiyihuijia/notebook-4ff3f17c5f2340f8ebea", "kernel_id": "75658"}, {"ref": "yiyihuijia/notebook-37e394ed811d6f186cca", "kernel_id": "75116"}, {"ref": "yiyihuijia/notebook-d33c8ab2b4c95a4f421c", "kernel_id": "84688"}, {"ref": "yiyihuijia/testdata", "kernel_id": "84680"}, {"ref": "yiyihuijia/notebook-edbe92022bddc45e13f2", "kernel_id": "82564"}, {"ref": "yiyihuijia/notebook-ebd19472d70bc8eeef2b", "kernel_id": "82525"}, {"ref": "yiyihuijia/notebook-db3f07cbc72ebc0f8c49", "kernel_id": "81828"}, {"ref": "yiyihuijia/notebook-570f0286415389a74592", "kernel_id": "81820"}, {"ref": "yiyihuijia/trying", "kernel_id": "81806"}, {"ref": "yiyihuijia/notebook-eee0c4eba8d9af621082", "kernel_id": "81811"}, {"ref": "yiyihuijia/second", "kernel_id": "83893"}, {"ref": "yiyihuijia/test-test", "kernel_id": "91796"}, {"ref": "vinotharun89/notebook-a47c7302b97dbded8f76", "kernel_id": "70786"}, {"ref": "nikolayburlutskiy/spatial-features-and-visualisation", "kernel_id": "69644"}, {"ref": "abhinavs01858/notebook-d61aeeab28ffd6ae6583", "kernel_id": "71134"}, {"ref": "csand1/log-mean-plus-lb-1-0805", "kernel_id": "79231"}, {"ref": "csand1/log-mean-plus-lb-0-47v1", "kernel_id": "80658"}, {"ref": "violinbeats/notebook-5f2cf15f001f91078c72", "kernel_id": "69848"}, {"ref": "violinbeats/eda-in-r", "kernel_id": "69849"}, {"ref": "vadimmalykh/notebook-cbbc7ca283c7b764701f", "kernel_id": "72441"}, {"ref": "thelion/intro", "kernel_id": "79212"}, {"ref": "misfyre/simple-xgboost", "kernel_id": "73246"}, {"ref": "paari90/exploratory-data-analysis", "kernel_id": "73050"}, {"ref": "vishallakha/log-mean-plus-lb-0-47-jay", "kernel_id": "81472"}, {"ref": "vishallakha/log-mean-plus-lb", "kernel_id": "80268"}, {"ref": "vishallakha/overfitted-bimbo-g-nd-mein-bambu", "kernel_id": "82698"}, {"ref": "vishallakha/babaduk-bimbo", "kernel_id": "78114"}, {"ref": "vishallakha/log-mean-plus-lb-0-788-v5", "kernel_id": "77731"}, {"ref": "vishallakha/log-mean-plus-lb-0-788-v3", "kernel_id": "77502"}, {"ref": "vishallakha/log-means", "kernel_id": "76778"}, {"ref": "vishallakha/log-mean-plus-lb-0-47", "kernel_id": "77139"}, {"ref": "casuru/notebook-f1debc30a1f83db96587", "kernel_id": "79118"}, {"ref": "casuru/notebook-29cc8d76d455b47c7e70", "kernel_id": "79129"}, {"ref": "happycube/log-means-in-python-v3-47927", "kernel_id": "77264"}, {"ref": "happycube/log-means-in-python-48578-v2", "kernel_id": "76922"}, {"ref": "jorgeporca1/notebook-adf6f451711bdb0b3ac7", "kernel_id": "69879"}, {"ref": "wordsforthewise/notebookcf57350cf0", "kernel_id": "93966"}, {"ref": "wordsforthewise/bimbo-mexico-walmart", "kernel_id": "93967"}, {"ref": "wordsforthewise/bimbo-xgboost-r-script-lb-0-457", "kernel_id": "90304"}, {"ref": "wordsforthewise/check-out-missing-data", "kernel_id": "89764"}, {"ref": "wordsforthewise/using-82-less-memory", "kernel_id": "86731"}, {"ref": "wordsforthewise/extract-product-features", "kernel_id": "86736"}, {"ref": "knabbers/notebook-0a54c6ec1317040ce3d0", "kernel_id": "72431"}, {"ref": "knabbers/notebook-17462354da005895add9", "kernel_id": "72880"}, {"ref": "adityagore/notebook-9ed788a60743ebb8a15f", "kernel_id": "77877"}, {"ref": "adityagore/notebook-4b57c9fe24288b8f9a9b", "kernel_id": "70306"}, {"ref": "adityagore/notebook-386df50c08f86df79823", "kernel_id": "70302"}, {"ref": "adityagore/exploratory-analysis", "kernel_id": "70171"}, {"ref": "adityagore/notebook-15ed635771843cd26ab6", "kernel_id": "70172"}, {"ref": "adityagore/notebook-18d3761f95f8ff0294af", "kernel_id": "69930"}, {"ref": "tarundevireddy/grupo-bimbo-inventory-challenge", "kernel_id": "88988"}, {"ref": "seneca126/test-run-1", "kernel_id": "82684"}, {"ref": "seneca126/notebook-7e6452ccfe11026b5edd", "kernel_id": "82664"}, {"ref": "agavranis/log-mean-plus-lb-0-4700", "kernel_id": "82535"}, {"ref": "agavranis/log-mean-plus-lb-0-47-jay3", "kernel_id": "81969"}, {"ref": "agavranis/log-mean-plus-lb-0-47-jays", "kernel_id": "81627"}, {"ref": "lalthan/bimbo-test", "kernel_id": "73047"}, {"ref": "lalthan/notebook-fe1064eb1e7e7daeb503", "kernel_id": "73062"}, {"ref": "jubbysantos/product", "kernel_id": "74303"}, {"ref": "jubbysantos/notebook-44b26ba8064307bf7f3a", "kernel_id": "74300"}, {"ref": "franzfangonilo/notebook-713301072705b9644b63", "kernel_id": "74273"}, {"ref": "franzfangonilo/notebook-9ccce757e32d690ad236", "kernel_id": "74290"}, {"ref": "franzfangonilo/notebook-59f7582c2f7978287748", "kernel_id": "74291"}, {"ref": "franzfangonilo/notebook-8915598efbe98608a1ad", "kernel_id": "74262"}, {"ref": "franzfangonilo/notebook-9348d13503d33bed1c32", "kernel_id": "74270"}, {"ref": "franzfangonilo/notebook-4275d887622b766460ee", "kernel_id": "74306"}, {"ref": "franzfangonilo/notebook-9e14c37a615880e2c066", "kernel_id": "74309"}, {"ref": "franzfangonilo/notebook-b359e4ef59da7c822545", "kernel_id": "74312"}, {"ref": "franzfangonilo/notebook-38d433f2fe50c3a63320", "kernel_id": "74313"}, {"ref": "franzfangonilo/notebook-3fe3a94388a5ce384111", "kernel_id": "74314"}, {"ref": "franzfangonilo/notebook-546cc408d86e86fca87e", "kernel_id": "74318"}, {"ref": "franzfangonilo/notebook-2ecfe109a59efa146d70", "kernel_id": "74096"}, {"ref": "franzfangonilo/notebook-da45158822f5735c2c76", "kernel_id": "74097"}, {"ref": "franzfangonilo/notebook-4e618e79bafa4b0d2e4e", "kernel_id": "74081"}, {"ref": "franzfangonilo/notebook-23b3c58b10ba987f7a71", "kernel_id": "74061"}, {"ref": "franzfangonilo/notebook-2f61bcaaaae4c375da74", "kernel_id": "74107"}, {"ref": "tankbell/notebook-c0eb521bab631e8aba04", "kernel_id": "72397"}, {"ref": "tankbell/exploring-products", "kernel_id": "72418"}, {"ref": "tankbell/notebook-79e04432b375a2743ef5", "kernel_id": "71982"}, {"ref": "tankbell/notebook-1f675b0be8fa85e3ccd8", "kernel_id": "71983"}, {"ref": "tankbell/notebook-f0f55e054f00e57e64cb", "kernel_id": "71975"}, {"ref": "mgchbot/notebook-2f701712cfc22564386a", "kernel_id": "77679"}, {"ref": "gman123/runnes", "kernel_id": "75030"}, {"ref": "gman123/exploring-products", "kernel_id": "72467"}, {"ref": "gman123/notebook-67d1419fc1c1b1488577", "kernel_id": "72468"}, {"ref": "wpanak/classifying-client-type-using-client-names", "kernel_id": "92778"}, {"ref": "wpanak/notebook-9e927de7b1fcc85051b9", "kernel_id": "84993"}, {"ref": "isameer7/notebook73ce478b57", "kernel_id": "88098"}, {"ref": "apapiu/notebook-b5b656c6555c8123b11c", "kernel_id": "71241"}, {"ref": "apapiu/notebook-736de267805f094059e9", "kernel_id": "71239"}, {"ref": "apapiu/mean-test", "kernel_id": "92501"}, {"ref": "apapiu/poor-man-s-xgboost", "kernel_id": "90943"}, {"ref": "apapiu/notebookfc8a4e2010", "kernel_id": "95569"}, {"ref": "apapiu/mean-vs-medians-a-mathy-approach", "kernel_id": "79080"}, {"ref": "apapiu/exploring-the-bimbo-data", "kernel_id": "78900"}, {"ref": "apapiu/testing-latex", "kernel_id": "78851"}, {"ref": "apapiu/log-means", "kernel_id": "75617"}, {"ref": "ericohman/exploring-products", "kernel_id": "76116"}, {"ref": "ldiperna/notebook-b98b1095900ae3a13cd5", "kernel_id": "81633"}, {"ref": "stephanekeil/notebook-6d83630ea50f5a030438", "kernel_id": "69713"}, {"ref": "mouna99/xuexi", "kernel_id": "82851"}, {"ref": "mouna99/notebook-6c8dd3aed66b1830fc0e", "kernel_id": "82846"}, {"ref": "vivekhelsing/helsings-linear-regression", "kernel_id": "75947"}, {"ref": "vivekhelsing/helsings-data-understanding", "kernel_id": "75967"}, {"ref": "vivekhelsing/notebook-1b7d925888e20f2e508d", "kernel_id": "71394"}, {"ref": "vivekhelsing/notebook-85caf135eebde62a57de", "kernel_id": "71217"}, {"ref": "vivekhelsing/helsings-explorations", "kernel_id": "71930"}, {"ref": "vivekhelsing/notebook-485f74d6a08dcc222b11", "kernel_id": "70842"}, {"ref": "vivekhelsing/notebook-ee80a52a2b82e1cc4536", "kernel_id": "70843"}, {"ref": "vivekhelsing/notebook-9fc9fc80f77c32136129", "kernel_id": "70822"}, {"ref": "vivekhelsing/notebook-c6fc717988e71746745a", "kernel_id": "70834"}, {"ref": "vivekhelsing/notebook-5884dcadc8596fb50f21", "kernel_id": "70827"}, {"ref": "vivekhelsing/notebook-f71d4f5d2df9500ad6ad", "kernel_id": "70802"}, {"ref": "vivekhelsing/notebook-ec0eb1bf268242a97316", "kernel_id": "70819"}, {"ref": "vivekhelsing/helsings-solution", "kernel_id": "70792"}, {"ref": "vivekhelsing/notebook-273b76742a3e47ac057a", "kernel_id": "70632"}, {"ref": "vivekhelsing/notebook-998b774ccb8830a3b7e7", "kernel_id": "70669"}, {"ref": "vetional/validate-data", "kernel_id": "69850"}, {"ref": "vetional/notebook-d65ba56cda01f4dbdcf8", "kernel_id": "70040"}, {"ref": "qazqwezxc/exploratory-data-analysis", "kernel_id": "69842"}, {"ref": "pragyag/exploring-products", "kernel_id": "73547"}, {"ref": "pragyag/notebook-a31055c88f06e10b37b2", "kernel_id": "73581"}, {"ref": "pragyag/notebook-aac4d45575788fe072d3", "kernel_id": "73582"}, {"ref": "kevinmcisaac/notebook-1287c5496688fd8a6429", "kernel_id": "76680"}, {"ref": "beavers/notebook-c5982283a3d5612134ee", "kernel_id": "74043"}, {"ref": "dagarkatyal/samplesubmission", "kernel_id": "69800"}, {"ref": "dagarkatyal/r-means", "kernel_id": "71159"}, {"ref": "dagarkatyal/r-medians", "kernel_id": "71161"}, {"ref": "dagarkatyal/log-mean-plus-lb-0-4700", "kernel_id": "89925"}, {"ref": "konstantinkobs/notebook613f91bd74", "kernel_id": "85919"}, {"ref": "konstantinkobs/notebookc9adbd1915", "kernel_id": "87611"}, {"ref": "konstantinkobs/notebookee37a8359e", "kernel_id": "87605"}, {"ref": "konstantinkobs/notebook4fba281b5f", "kernel_id": "87614"}, {"ref": "konstantinkobs/notebook661482f231", "kernel_id": "87940"}, {"ref": "konstantinkobs/notebook9ff04c94c2", "kernel_id": "87855"}, {"ref": "konstantinkobs/notebookab7adf18c3", "kernel_id": "87864"}, {"ref": "chenchaodev/exploring-products", "kernel_id": "82740"}, {"ref": "viccalexander/notebook6ef25b737f", "kernel_id": "90216"}, {"ref": "wnikhil/notebook-e38a98537d2fc7308f61", "kernel_id": "71173"}, {"ref": "polosot/notebook-6d595ff6d68c2a83c5d7", "kernel_id": "79398"}, {"ref": "semisummer/notebook-4fb6db2893e336db2aae", "kernel_id": "74735"}, {"ref": "darkomarjanovic/notebook-fe88025e889906318841", "kernel_id": "69791"}, {"ref": "tunguz/gbid-2", "kernel_id": "69664"}, {"ref": "luispalmab/bimbo-1", "kernel_id": "73744"}, {"ref": "masatoh/notebook0959473390", "kernel_id": "88659"}, {"ref": "wilmaemdsouza/notebook-6421038f1738064c6ec6", "kernel_id": "70736"}, {"ref": "tgundave/bimbo-boosting-with-r", "kernel_id": "71749"}, {"ref": "tgundave/notebook-882a859fa2b5e27cd4f2", "kernel_id": "71751"}, {"ref": "muhammedazamkhan/notebook-fbe7d6103c2f1c27e6df", "kernel_id": "71964"}, {"ref": "psismanis/grupo-bimbo-a-first-approach", "kernel_id": "72322"}, {"ref": "jyyeli/r-medians", "kernel_id": "71395"}, {"ref": "hwan9730/notebook-839e1b39a4862ffe0ca2", "kernel_id": "69955"}, {"ref": "hwan9730/notebook-dfff914d88af4f4565b3", "kernel_id": "70989"}, {"ref": "hwan9730/notebook-078ae86a03591f5fd03f", "kernel_id": "74911"}, {"ref": "hugopalmer/test-hugo", "kernel_id": "71172"}, {"ref": "kciyer/notebook-fe11c5230254c54cd43a", "kernel_id": "82600"}, {"ref": "ganliu/notebook-d33c72f409451a4b7d92", "kernel_id": "69487"}, {"ref": "ganliu/datapreview", "kernel_id": "69484"}, {"ref": "awangntu/grupobimbo-exploration", "kernel_id": "76226"}, {"ref": "raphaelq/exploring-products", "kernel_id": "82229"}, {"ref": "sebascaja/exploring-products", "kernel_id": "72863"}, {"ref": "dionhagan/notebook-f39a584b8cd7a0f4e68a", "kernel_id": "78648"}, {"ref": "dionhagan/notebook-4a374aca61f512aaf4b6", "kernel_id": "78651"}, {"ref": "dionhagan/notebook-b6e566788720aaedf7ba", "kernel_id": "78654"}, {"ref": "dionhagan/notebook-9f5bd17b327bd96b03ec", "kernel_id": "78662"}, {"ref": "dionhagan/notebook-06633c08e28d288d332a", "kernel_id": "78699"}, {"ref": "dionhagan/notebook-fcec44a4bf1a84c1d7c7", "kernel_id": "78701"}, {"ref": "ruben1/notebook-77d00536b195597d16ec", "kernel_id": "84906"}, {"ref": "ruben1/initial-analysis-ii", "kernel_id": "84907"}, {"ref": "codingfun/notebook-4a876c61e5edb02c5e1c", "kernel_id": "79457"}, {"ref": "danielvdml/bimbo", "kernel_id": "87128"}, {"ref": "danielvdml/notebook-b280aea2e889ef816022", "kernel_id": "81709"}, {"ref": "danielvdml/notebook-5e8180e6b37209b70245", "kernel_id": "81710"}, {"ref": "danielvdml/notebook-484bea536350bf3c402e", "kernel_id": "81718"}, {"ref": "danielvdml/notebook-687f9acd0687f7e971ff", "kernel_id": "81724"}, {"ref": "danielvdml/notebook-7d02be46db0f8ac88a6e", "kernel_id": "84282"}, {"ref": "danielvdml/notebook-049d8219e603d900475f", "kernel_id": "84217"}, {"ref": "danielvdml/notebook402d5e3623", "kernel_id": "106416"}, {"ref": "ashokbandrevu/notebook-9029057c00e242b03e7e", "kernel_id": "69648"}, {"ref": "ashokbandrevu/notebook-aff7b1ca8a1af435bb25", "kernel_id": "69656"}, {"ref": "ozgunyalcin/testing-kaggle-script", "kernel_id": "91626"}, {"ref": "jc052341/exploratory-data-analysis", "kernel_id": "70727"}, {"ref": "rprades/notebook5600bb02cc", "kernel_id": "88538"}, {"ref": "rprades/notebookdc626277ea", "kernel_id": "88542"}, {"ref": "gunjand/exploratory-data-analysis", "kernel_id": "72996"}, {"ref": "gregafen/notebook-a327cfff98ea8ada44ec", "kernel_id": "70885"}, {"ref": "gregafen/notebook-0e5a3da5a9bafbd1ed93", "kernel_id": "77434"}, {"ref": "gregafen/plotting-rmsle-for-over-vs-under-preds", "kernel_id": "77431"}, {"ref": "alexeylive/classifying-client-type-using-client-names", "kernel_id": "90420"}, {"ref": "martafernandez/notebook-c7aeda9b234a8e6f78a5", "kernel_id": "82258"}, {"ref": "nitensingh/exploring-products", "kernel_id": "75257"}, {"ref": "nitensingh/notebook-77a4d280c3d13805e56e", "kernel_id": "75260"}, {"ref": "plaguecity/exploratory-data-analysis", "kernel_id": "72416"}, {"ref": "plaguecity/notebook-322c5ad07161ec0cb2bd", "kernel_id": "72417"}, {"ref": "plaguecity/notebook-8605ace7f82ce648ef16", "kernel_id": "78403"}, {"ref": "plaguecity/exploring-products", "kernel_id": "78395"}, {"ref": "ntdefreitas/first-attempt-1", "kernel_id": "80691"}, {"ref": "davidsamson/notebook-d5a29f92817f51db3434", "kernel_id": "80923"}, {"ref": "vigneshinfy/notebook-331da10d4d88b92c9c9a", "kernel_id": "79922"}, {"ref": "vigneshinfy/notebook-cf9f134a0d795d337ffc", "kernel_id": "79932"}, {"ref": "vigneshinfy/improvement", "kernel_id": "79935"}, {"ref": "vigneshinfy/notebook-cc7be8b495a3674a003c", "kernel_id": "76160"}, {"ref": "rajveer/preprocess-sample", "kernel_id": "71672"}, {"ref": "saurabh3011/notebook-d173a051a755a6c1ec1e", "kernel_id": "72310"}, {"ref": "saurabh3011/notebook-4318bcbb9b73fa5d404d", "kernel_id": "72346"}, {"ref": "stunner1608/notebook-15f6b75b1a72ef0e5285", "kernel_id": "75858"}, {"ref": "stunner1608/notebook-346725012868178c594f", "kernel_id": "75859"}, {"ref": "stunner1608/notebook-a3f091d04267bf7df362", "kernel_id": "75860"}, {"ref": "jobelo/exploratory-data-analysis", "kernel_id": "71652"}, {"ref": "zonemercy/classifying-client-type-using-client-names", "kernel_id": "90083"}, {"ref": "indian/exploring-products", "kernel_id": "82124"}, {"ref": "maxcvc/notebook-d1849cbf83cfce8054c6", "kernel_id": "78844"}, {"ref": "mithil/notebook-c853e1b75888cadfff3e", "kernel_id": "71768"}, {"ref": "lawrencesiao/exploring-products", "kernel_id": "79042"}, {"ref": "hatsukiotowa/winnie", "kernel_id": "75997"}, {"ref": "hatsukiotowa/test1", "kernel_id": "76147"}, {"ref": "hatsukiotowa/notebook-2d6ac4b85b10b6805440", "kernel_id": "76148"}, {"ref": "leeguoo/notebooke31d7805c9", "kernel_id": "89404"}, {"ref": "boyazhou/test-0", "kernel_id": "86031"}, {"ref": "boyazhou/notebook-48a69477dafbc2b1d6ee", "kernel_id": "74474"}, {"ref": "boyazhou/notebook-5f77de6f9a60e4cccf9c", "kernel_id": "74472"}, {"ref": "bckatarzyna/notebook-59a8cd94a44c09e8fc84", "kernel_id": "78199"}, {"ref": "bckatarzyna/notebook-ef562937ed31c5899232", "kernel_id": "78189"}, {"ref": "bckatarzyna/notebook-1fd3a10f095819a440aa", "kernel_id": "78890"}, {"ref": "bckatarzyna/notebook-84a7e9150fd337c72526", "kernel_id": "78879"}, {"ref": "bckatarzyna/notebook-aceee7910a0c7be5be47", "kernel_id": "78880"}, {"ref": "bckatarzyna/notebook-f70bde0fe19be84b8323", "kernel_id": "78884"}, {"ref": "bckatarzyna/notebook-c4a6a8c50b626a2e5b0a", "kernel_id": "78885"}, {"ref": "bckatarzyna/notebook-0131947fabaffa676a38", "kernel_id": "78886"}, {"ref": "bckatarzyna/notebook-0231240ee988cb2ad4e1", "kernel_id": "78888"}, {"ref": "bckatarzyna/notebook-d345b1a9e045d9817c70", "kernel_id": "78873"}, {"ref": "bckatarzyna/notebook-154b52a607584b918e09", "kernel_id": "78922"}, {"ref": "bckatarzyna/notebook-4949e92bc19d3e81c681", "kernel_id": "78917"}, {"ref": "bckatarzyna/notebook-09140078ab07efafc3af", "kernel_id": "78918"}, {"ref": "bckatarzyna/notebook-1a306ed8491e42388f6c", "kernel_id": "78898"}, {"ref": "bckatarzyna/notebook-4d671bdbfeab644f36c5", "kernel_id": "79008"}, {"ref": "bckatarzyna/notebook-f42e9ccfac8309c554ad", "kernel_id": "78222"}, {"ref": "bckatarzyna/notebook-2c391da45dd83f745d2c", "kernel_id": "78486"}, {"ref": "bckatarzyna/notebook-a78c215752d75b413d90", "kernel_id": "78487"}, {"ref": "bckatarzyna/notebook-62c5f95de44dc82c0e08", "kernel_id": "78491"}, {"ref": "bckatarzyna/notebook-ca8c090a05512c6e2bde", "kernel_id": "78535"}, {"ref": "bckatarzyna/notebook-cf2280a798e42cbcfecb", "kernel_id": "78589"}, {"ref": "bckatarzyna/notebook-cbf07ab1712027985d06", "kernel_id": "78565"}, {"ref": "bckatarzyna/notebook-abf693219deb3569653a", "kernel_id": "78570"}, {"ref": "bckatarzyna/notebook-eb6d4dfc0349b6d78850", "kernel_id": "78572"}, {"ref": "bckatarzyna/notebook-244ad1eaff33d6205b28", "kernel_id": "78510"}, {"ref": "bckatarzyna/notebook-ac0d4f274c7da5894198", "kernel_id": "78519"}, {"ref": "bckatarzyna/notebook-e77a56ff6e04aa5168b3", "kernel_id": "78521"}, {"ref": "bckatarzyna/notebook-d4c73ba3be8dc610b0f5", "kernel_id": "78525"}, {"ref": "bckatarzyna/notebook-7d83f15a585ba3197c7b", "kernel_id": "78547"}, {"ref": "bckatarzyna/notebook-ec3fa2ec12891833b5ea", "kernel_id": "78530"}, {"ref": "pointer/gbm-apurv", "kernel_id": "70383"}, {"ref": "c1temp22/notebook-96cf9d86923760de8162", "kernel_id": "76058"}, {"ref": "swana23/notebook5c9b09e2d2", "kernel_id": "88449"}, {"ref": "sattvikc/notebook-214358163187da28ab09", "kernel_id": "74278"}, {"ref": "goldstar/median-test1", "kernel_id": "88009"}, {"ref": "goldstar/notebook3f7bf1309e", "kernel_id": "90478"}, {"ref": "goldstar/log-mean-plus-lb-0-47-in-python-test1", "kernel_id": "88219"}, {"ref": "goldstar/notebook-9a55616288d28bf361b3", "kernel_id": "70728"}, {"ref": "goldstar/notebook-a1a3bb4559cf08b3e950", "kernel_id": "70752"}, {"ref": "goldstar/notebook-6b787d677dfb8da6df38", "kernel_id": "69777"}, {"ref": "goldstar/notebook-31f0c657343ec38bcebe", "kernel_id": "69778"}, {"ref": "goldstar/notebook-9c06f2fdf05aca5e9450", "kernel_id": "69781"}, {"ref": "zfturbo/simple-bimbo-solution", "kernel_id": "70409"}, {"ref": "josephpr/exploratory-analysis", "kernel_id": "70195"}, {"ref": "himitsuri/notebook2936638323", "kernel_id": "87972"}, {"ref": "nodermann/notebook-51b0fe72f58c9f80288e", "kernel_id": "71017"}, {"ref": "insaff/feature-hashing-with-partial-fitting", "kernel_id": "78207"}, {"ref": "rohansadale/exploring", "kernel_id": "77566"}, {"ref": "rohansadale/just-exploring", "kernel_id": "78031"}, {"ref": "posiedon/notebook81f5c1ffa5", "kernel_id": "85682"}, {"ref": "posiedon/notebookf7542045a3", "kernel_id": "85683"}, {"ref": "posiedon/test-1", "kernel_id": "85684"}, {"ref": "ecow1338/notebook6b7a09726c", "kernel_id": "91717"}, {"ref": "zihaoxu/notebook-a5417172a4d773666951", "kernel_id": "78098"}, {"ref": "fedynand/classifying-client-type-using-client-names", "kernel_id": "90208"}, {"ref": "fedynand/products-clustering", "kernel_id": "87836"}, {"ref": "rlomascolo/notebook3f91ba79ea", "kernel_id": "86642"}, {"ref": "rlomascolo/notebook7e52959583", "kernel_id": "86643"}, {"ref": "rlomascolo/notebook83481dfe98", "kernel_id": "86644"}, {"ref": "rlomascolo/xgboost-python-script-lb-0-46249", "kernel_id": "90784"}, {"ref": "rlomascolo/exploring-the-bimbo-data", "kernel_id": "92140"}, {"ref": "mikhailm/notebook-0d8f73fe852e1b8f808d", "kernel_id": "79990"}, {"ref": "mikhailm/notebook-6ff0174b5d8fa80b5a8e", "kernel_id": "79991"}, {"ref": "mikhailm/erqwe", "kernel_id": "80090"}, {"ref": "mikhailm/notebook-a6a957cfb63472892755", "kernel_id": "79972"}, {"ref": "lincoln2491/notebook-d2c8230e2c00453ea727", "kernel_id": "74423"}, {"ref": "lincoln2491/notebook-56f39e0e87deb368969b", "kernel_id": "74430"}, {"ref": "lincoln2491/notebook-33f6b118437876608ca9", "kernel_id": "74428"}, {"ref": "amadeusm/mainanalysis", "kernel_id": "81556"}, {"ref": "payambahr/exploratory-data-analysis-on-grupo-bimbo", "kernel_id": "262350"}, {"ref": "payambahr/eda-1", "kernel_id": "69569"}, {"ref": "zstuwangrui/my-name-is-rui", "kernel_id": "86651"}, {"ref": "zstuwangrui/ok-alrigth-rui", "kernel_id": "87543"}, {"ref": "zstuwangrui/from-stu-rui", "kernel_id": "86211"}, {"ref": "zstuwangrui/feature-engine-1", "kernel_id": "86230"}, {"ref": "zstuwangrui/feature-engine-first", "kernel_id": "86234"}, {"ref": "zstuwangrui/grupo-bimbo-inventory-demand", "kernel_id": "86193"}, {"ref": "zstuwangrui/notebook6cdbf359df", "kernel_id": "86195"}, {"ref": "zstuwangrui/start-up", "kernel_id": "86196"}, {"ref": "kalinstoyanov/exploratory-analysis", "kernel_id": "71398"}, {"ref": "mcafee/grbimbo", "kernel_id": "74974"}, {"ref": "apartmentguru/notebook-8ca0c4d9bec639c9d929", "kernel_id": "69557"}, {"ref": "fentwer/notebook-d64bb0ef2dd23f368ee1", "kernel_id": "69420"}, {"ref": "fentwer/notebook-541d14b9eba72e73b404", "kernel_id": "69421"}, {"ref": "fentwer/notebook-a867818b2a48ea032fc3", "kernel_id": "69429"}, {"ref": "fentwer/notebook-9241ce1fe2be4e7989e9", "kernel_id": "69444"}, {"ref": "fentwer/notebook-606e2488fe87793cc674", "kernel_id": "69411"}, {"ref": "jkoerner/notebook-119d60e63df361965e6b", "kernel_id": "77244"}, {"ref": "prasadm/prasad3", "kernel_id": "89149"}, {"ref": "prasadm/prasad1", "kernel_id": "88944"}, {"ref": "prasadm/prasad2", "kernel_id": "88963"}, {"ref": "spideryzarc/teste", "kernel_id": "77523"}, {"ref": "spideryzarc/babaduk-bimbo", "kernel_id": "78664"}, {"ref": "rahulvishwakarma/kepler", "kernel_id": "69481"}, {"ref": "rahulvishwakarma/notebook-efc5aab5515b7b552fd0", "kernel_id": "69482"}, {"ref": "whijo2/notebook4267c29bc3", "kernel_id": "88293"}, {"ref": "julioarriaga/notebook29226d6fa7", "kernel_id": "113476"}, {"ref": "tharakamd/testting", "kernel_id": "92129"}, {"ref": "tharakamd/bimmmmm", "kernel_id": "92132"}, {"ref": "tharakamd/notebooke84f320868", "kernel_id": "86383"}, {"ref": "anuradhakw/means-new", "kernel_id": "92164"}, {"ref": "anuradhakw/mean-new-remove-outliers", "kernel_id": "92594"}, {"ref": "anuradhakw/kernel-density-plot", "kernel_id": "94004"}, {"ref": "anuradhakw/mean-median-new", "kernel_id": "89523"}, {"ref": "anuradhakw/mean-log-median-with-canal-id", "kernel_id": "89719"}, {"ref": "anuradhakw/clean-mean-plus-median", "kernel_id": "91290"}, {"ref": "anuradhakw/with-canal-id-clean-mean", "kernel_id": "90006"}, {"ref": "anuradhakw/clean-mean", "kernel_id": "90027"}, {"ref": "ruchiranga/linear-model-fitting-clean", "kernel_id": "90048"}, {"ref": "ruchiranga/group-by-bunch", "kernel_id": "92360"}, {"ref": "ruchiranga/notebook1c4c070b60", "kernel_id": "87703"}, {"ref": "ruchiranga/notebook4b55ea148c", "kernel_id": "87704"}, {"ref": "yanggangthu/eda-bread-r", "kernel_id": "91458"}, {"ref": "oliviayang/notebook-b2cd7af08b83871649bf", "kernel_id": "72932"}, {"ref": "starwar/runne", "kernel_id": "72882"}, {"ref": "starwar/runnes", "kernel_id": "74598"}, {"ref": "starwar/notebook-fc1039176020bb8de650", "kernel_id": "84451"}, {"ref": "starwar/ainer1", "kernel_id": "84622"}, {"ref": "mikepb/notebook-dc7d230f875e2aa294c4", "kernel_id": "73912"}, {"ref": "mikepb/notebook-91183484498dec2533c6", "kernel_id": "73913"}, {"ref": "arjoonn/data-cleaning", "kernel_id": "69735"}, {"ref": "arjoonn/notebook-c990df73fe89b53d346f", "kernel_id": "70771"}, {"ref": "arjoonn/notebook-dc223f41b9d5315595b2", "kernel_id": "71079"}, {"ref": "satendrakumar/exploring-products", "kernel_id": "77121"}, {"ref": "satendrakumar/notebook-cf64c246e90920d427a8", "kernel_id": "77124"}, {"ref": "satendrakumar/notebook-1e0967ece705e3ceb56e", "kernel_id": "77126"}, {"ref": "sunglasses1011/exploring-products", "kernel_id": "73729"}, {"ref": "mukeshranjan/exploratory-data-analysis", "kernel_id": "77675"}, {"ref": "marcopolli/notebook-884223be55834a8d02d8", "kernel_id": "78656"}, {"ref": "andrebg/notebook-d22fe6fc4b6cc316818a", "kernel_id": "85403"}, {"ref": "andrebg/notebook-66d1a92206045b456d62", "kernel_id": "80385"}, {"ref": "narsil/r-medians", "kernel_id": "72383"}, {"ref": "leexiongan/exploratory-data-analysis", "kernel_id": "72988"}, {"ref": "leexiongan/notebook-b1af00e9b58a324e433c", "kernel_id": "72991"}, {"ref": "leexiongan/simple-bimbo-solution", "kernel_id": "73819"}, {"ref": "defenestration/simple-bimbo-solution", "kernel_id": "70799"}, {"ref": "ferbncode/notebook-7489eb4fa9e4233e4a53", "kernel_id": "85345"}, {"ref": "ferbncode/notebook-8ff43404005977406051", "kernel_id": "85339"}, {"ref": "ferbncode/group-bimbo-dataset", "kernel_id": "85705"}, {"ref": "ferbncode/trying-the-group-bimbo-dataset", "kernel_id": "85696"}, {"ref": "prateekbhat/notebook-566affe9578ef06b1cd4", "kernel_id": "73838"}, {"ref": "kaggle191/inventory-data-analysis", "kernel_id": "79615"}, {"ref": "datamafia/notebook-7b41092715aa1327da93", "kernel_id": "72620"}, {"ref": "lijingpeng/notebookf5182161e0", "kernel_id": "92121"}, {"ref": "nik2710/groupbimbo", "kernel_id": "84152"}, {"ref": "aklein/product-info-extraction", "kernel_id": "82326"}, {"ref": "zuluagasd/notebook-016753a9612ed2681714", "kernel_id": "69554"}, {"ref": "zuluagasd/bimbo", "kernel_id": "69556"}, {"ref": "anokas/floating-point-test", "kernel_id": "69462"}, {"ref": "anokas/optimised-beat-the-benchmark", "kernel_id": "69425"}, {"ref": "anokas/exploratory-data-analysis", "kernel_id": "69418"}, {"ref": "anokas/notebook-0e5b63b7913dc268b4a0", "kernel_id": "69419"}, {"ref": "anokas/notebook-556e7b53a44d3e7d497d", "kernel_id": "69859"}, {"ref": "anokas/median-product-0-68749-on-lb", "kernel_id": "69895"}, {"ref": "anokas/notebook-1c9e7b608e4a5f1ac72d", "kernel_id": "70225"}, {"ref": "bluekidds/notebook-bce2af784efcfd73a2f1", "kernel_id": "72490"}, {"ref": "z3193631/exploring-products", "kernel_id": "72269"}, {"ref": "pablomarin/classifying-client-type-using-client-names", "kernel_id": "90169"}, {"ref": "pablomarin/notebook-fa1e4c6d2d594e40768d", "kernel_id": "75262"}, {"ref": "wuhao09/exploring-products", "kernel_id": "78202"}, {"ref": "robwishart/notebook-9b787fbc4002f9a2a42d", "kernel_id": "84502"}, {"ref": "robwishart/notebook-f823f6bfa6f2ee5c3754", "kernel_id": "84503"}, {"ref": "costasva/exploring-products", "kernel_id": "73768"}, {"ref": "vzabalza/notebook-ec61e0ad8475054a06da", "kernel_id": "69736"}, {"ref": "spraveengupta/notebook-38065c71cb7f44c35951", "kernel_id": "73500"}, {"ref": "zavodrobotov/bimbo-xgboost-r-script-lb-0-457", "kernel_id": "91757"}, {"ref": "zavodrobotov/simple-xgboost", "kernel_id": "74058"}, {"ref": "zavodrobotov/log-means-in-python-48578-v2", "kernel_id": "76980"}, {"ref": "rmtogether/notebook-11c610b8176c3c62a28a", "kernel_id": "71123"}, {"ref": "soulcoder/exploring-products", "kernel_id": "84088"}, {"ref": "soulcoder/exploratory-data-analysis", "kernel_id": "87849"}, {"ref": "soulcoder/exploring-products-74d40e5e", "kernel_id": "87850"}, {"ref": "soulcoder/classifying-client-type-using-client-names", "kernel_id": "90294"}, {"ref": "amdouni/exploratory-data-analysis", "kernel_id": "84417"}, {"ref": "glazacvetaneba/notebook-bf6eaa77b2809b2bc381", "kernel_id": "77943"}, {"ref": "vamtosh/data-exploration", "kernel_id": "85208"}, {"ref": "vamtosh/exploratory-data-analysis", "kernel_id": "85213"}, {"ref": "vamtosh/notebook-3f198ebc795d860cfd35", "kernel_id": "85172"}, {"ref": "vamtosh/exploring-products", "kernel_id": "85168"}, {"ref": "vamtosh/notebook-7f997ce5160f0efab00c", "kernel_id": "85170"}, {"ref": "vamtosh/dataexploration", "kernel_id": "85550"}, {"ref": "ayanangshudas/notebook-3d5961a8495bf1a2d7bb", "kernel_id": "69567"}, {"ref": "najibmahjoubi/notebook-dd4442bc2a60f5db2c74", "kernel_id": "75570"}, {"ref": "ybshankar010/notebook-67a1a191df05e845d03d", "kernel_id": "80087"}, {"ref": "srivallapa27/notebook-d32e1247922d0a046208", "kernel_id": "73236"}, {"ref": "srivallapa27/notebook-47db3dd893a1572e183e", "kernel_id": "73234"}, {"ref": "mamitiana/notebook-60bd0f578fe786490a06", "kernel_id": "71315"}, {"ref": "mamitiana/notebook-863f1114dbcf46bd98f7", "kernel_id": "71150"}, {"ref": "mamitiana/notebook-4b891fdbcbe2c1a7f954", "kernel_id": "71183"}, {"ref": "hashvard/exploring-products", "kernel_id": "73359"}, {"ref": "whalexyz/notebook-cd6a073a706ee5cdec93", "kernel_id": "77480"}, {"ref": "laurae2/rmsle-loss-spread", "kernel_id": "70580"}, {"ref": "garethdjones/notebook-d82326f6b9674d86ed91", "kernel_id": "76888"}, {"ref": "tedrand/submission1", "kernel_id": "78359"}, {"ref": "jcwoods/first", "kernel_id": "69667"}, {"ref": "tinosibanda/notebook-b801a5c0daab99dca9c9", "kernel_id": "74925"}, {"ref": "aagundez/notebook-e588adc45bed6536d690", "kernel_id": "71301"}, {"ref": "aagundez/notebook-a9e016e446f7abb588e6", "kernel_id": "71282"}, {"ref": "aagundez/exploring-bimbo", "kernel_id": "71083"}, {"ref": "aagundez/notebook-4f26ca42e3625baf64f4", "kernel_id": "71086"}, {"ref": "rareitmeyer/notebook-4cb742820fca52afefeb", "kernel_id": "71520"}, {"ref": "ketulgupta/notebook-768a680f93e2f5a5dea6", "kernel_id": "74389"}, {"ref": "ketulgupta/notebook-ae03963cbaab212a140e", "kernel_id": "74367"}, {"ref": "ketulgupta/trying-out-notebook", "kernel_id": "72983"}, {"ref": "ketulgupta/notebook-98938285101a76d63582", "kernel_id": "75716"}, {"ref": "ketulgupta/notebook-7c85d02d24abd04c5b93", "kernel_id": "75760"}, {"ref": "naveenwashere/exploratory-data-analysis", "kernel_id": "75927"}, {"ref": "rahulsaddy/datadiscovery", "kernel_id": "88023"}, {"ref": "elpacko/notebook-7f186d1afa68851ccc55", "kernel_id": "74544"}, {"ref": "elpacko/notebook-5fc05a484a0146c7f296", "kernel_id": "74536"}, {"ref": "elpacko/visualizedata", "kernel_id": "73721"}, {"ref": "elpacko/exploring-products", "kernel_id": "73724"}, {"ref": "elpacko/notebook-0d091dedc57e329e85c5", "kernel_id": "73725"}, {"ref": "yallamati/notebook-0fcf093fb21aa422c6d1", "kernel_id": "84206"}, {"ref": "pruthvish/pruthvish", "kernel_id": "69891"}, {"ref": "paulorzp/log-mean-plus-lb-0-47000", "kernel_id": "71523"}, {"ref": "jahanpour/exploring-products", "kernel_id": "82697"}, {"ref": "wals110/exploring-products", "kernel_id": "74645"}, {"ref": "mmrosenb/notebook-93431c9e1d71996f0170", "kernel_id": "69503"}, {"ref": "mmrosenb/notebook-d7fbfcbc0b9e29955997", "kernel_id": "69512"}, {"ref": "piyushseth/second-try", "kernel_id": "79668"}, {"ref": "piyushseth/first-submission", "kernel_id": "79597"}, {"ref": "piyushseth/data-reading", "kernel_id": "79601"}, {"ref": "mikessoldier/exploring-products", "kernel_id": "80305"}, {"ref": "mikessoldier/notebook-c3c2d8699a32d056b0ba", "kernel_id": "80326"}, {"ref": "mikessoldier/notebook-e5b4301fb1df9d44a46d", "kernel_id": "81562"}, {"ref": "eduzznet/log-mean-plus-lb-0-4700", "kernel_id": "84337"}, {"ref": "jane522/notebook-c4dfe1328e6d991513e2", "kernel_id": "76109"}, {"ref": "jane522/notebook-8d933a58fdc3f42aa1e9", "kernel_id": "75856"}, {"ref": "jane522/notebook-578b27411effbb02f6fa", "kernel_id": "75861"}, {"ref": "levony/notebook-83da62d14e3b8966ba91", "kernel_id": "77715"}, {"ref": "hcmyds/notebook8607c4982c", "kernel_id": "112501"}, {"ref": "kknehra/notebook-bca72ac5e9c08ed715c8", "kernel_id": "70129"}, {"ref": "kknehra/notebook-c0dd67e259d246615c7b", "kernel_id": "70130"}, {"ref": "lyytinen/basic-preprocessing-for-products", "kernel_id": "69873"}, {"ref": "mkakarla/notebook-6ff8bbf88efd5ab618df", "kernel_id": "74368"}, {"ref": "mkakarla/notebook-c216cd4713118dcb6984", "kernel_id": "73870"}, {"ref": "mkakarla/notebook-d3437da699743ad446f7", "kernel_id": "73945"}, {"ref": "mkakarla/notebook-634e94c37d6776ae6e48", "kernel_id": "76384"}, {"ref": "mkakarla/notebook-e21da1c44c993d38ceac", "kernel_id": "76392"}, {"ref": "mkakarla/notebook-c04147ecee07de3ee78b", "kernel_id": "76393"}, {"ref": "mkakarla/notebook-bdb8fa8bdd1cf25cbdfc", "kernel_id": "76395"}, {"ref": "mkakarla/kakarla", "kernel_id": "76396"}, {"ref": "mkakarla/notebook-215c2ae065dbf75aa7ea", "kernel_id": "76399"}, {"ref": "mkakarla/notebook-c77892408b907694080c", "kernel_id": "76400"}, {"ref": "mkakarla/notebook-031a15b70b86b248be88", "kernel_id": "76401"}, {"ref": "mkakarla/notebook-4c0e6933899dcf88704c", "kernel_id": "76402"}, {"ref": "mkakarla/bimbo", "kernel_id": "70466"}, {"ref": "mkakarla/notebook-033e703a5fc435006ce7", "kernel_id": "70530"}, {"ref": "vanjaranihar/exploring-products", "kernel_id": "131566"}, {"ref": "shawodwalker/exploratory-data-analysis", "kernel_id": "82590"}, {"ref": "nataliedurgin/notebook-229da4be6ea3e350bc7b", "kernel_id": "79282"}, {"ref": "leoitsn/notebook-b32aab08f25a32687dbf", "kernel_id": "78746"}, {"ref": "pokutnik/notebook-4b2f87f62afc08e11642", "kernel_id": "70166"}, {"ref": "saurabhkulkarni/notebook14c21907d3", "kernel_id": "87788"}, {"ref": "ashishtripathy/grupo-bimbo-data-analysis", "kernel_id": "81561"}, {"ref": "estiii/exploratory-data-analysis", "kernel_id": "69741"}, {"ref": "dukebody/benchmarkmedians-0-52718-on-leaderboard", "kernel_id": "70357"}, {"ref": "aanilpala/exploratory-data-analysis", "kernel_id": "70476"}, {"ref": "yientsai/notebook-168d9866d0b069348897", "kernel_id": "82478"}, {"ref": "jihyeseo/grupo-eda", "kernel_id": "958149"}, {"ref": "kozazz/testbread", "kernel_id": "107126"}, {"ref": "kozazz/notebook5769f0cccb", "kernel_id": "107127"}, {"ref": "nlbao95/log-mean-plus-lb-0-47", "kernel_id": "77318"}, {"ref": "dharik/notebook-a7da14c7c8ae0b6b13ef", "kernel_id": "72631"}, {"ref": "dharik/notebook-dcd5546d83e8170c9523", "kernel_id": "72444"}, {"ref": "shezan1437/exploring-products", "kernel_id": "75171"}, {"ref": "shezan1437/practice", "kernel_id": "75172"}, {"ref": "shezan1437/notebook-0479d8bdb8f118cdcb30", "kernel_id": "75178"}, {"ref": "gsaezd/h2o-gbm", "kernel_id": "77608"}, {"ref": "richb123/bimbo-boosting-with-r", "kernel_id": "69959"}, {"ref": "caiotaniguchi/basic-preprocessing-for-prods-modified", "kernel_id": "77097"}, {"ref": "irinamaxds/notebook-d9c3ad421ecd2bb90d0b", "kernel_id": "77128"}, {"ref": "irinamaxds/notebook-efb455d7c34a952b2e3b", "kernel_id": "77129"}, {"ref": "irinamaxds/notebook-cbf645b7d2eb0b227d9a", "kernel_id": "77130"}, {"ref": "dhanushka/bimbotest", "kernel_id": "91245"}, {"ref": "abhishekshetty/notebook-b0bd74fb04b4a6a21603", "kernel_id": "72814"}, {"ref": "ederibhalo/exploratory-data-analysis", "kernel_id": "69914"}, {"ref": "shahnawazakhtar/exploring-bimbo", "kernel_id": "71268"}, {"ref": "xiaotuzuoshuju/notebook-c3084e86c3f643cb3b19", "kernel_id": "84160"}, {"ref": "zauddelig/hello", "kernel_id": "72335"}, {"ref": "zauddelig/notebook-36a8ee41cf93e9d31ebf", "kernel_id": "72336"}, {"ref": "manuchandra2000/notebook-f58b3c9b5d23f7bf0835", "kernel_id": "72839"}, {"ref": "manuchandra2000/notebook-c256c29a2e18abd49306", "kernel_id": "72840"}, {"ref": "manuchandra2000/notebook-0341e23a50949ce853f0", "kernel_id": "72843"}, {"ref": "manuchandra2000/notebook-a9884d3739f3125f91b0", "kernel_id": "72846"}, {"ref": "harshanand007/exploring-products", "kernel_id": "77373"}, {"ref": "abhabede/notebook-e38697a436d41d69935a", "kernel_id": "85306"}, {"ref": "montyhall/random-forest", "kernel_id": "70608"}, {"ref": "montyhall/test-week-4", "kernel_id": "70588"}, {"ref": "montyhall/mean1", "kernel_id": "70462"}, {"ref": "montyhall/sklearn-test", "kernel_id": "70404"}, {"ref": "montyhall/top-10", "kernel_id": "70397"}, {"ref": "montyhall/hist2d-plot", "kernel_id": "70211"}, {"ref": "montyhall/blaze-test", "kernel_id": "70821"}, {"ref": "montyhall/test-input-product", "kernel_id": "69972"}, {"ref": "montyhall/test-input-2", "kernel_id": "69974"}, {"ref": "montyhall/exploratory-data-analysis", "kernel_id": "69782"}, {"ref": "montyhall/test-input", "kernel_id": "69787"}, {"ref": "babizanalyst/notebook-77bc0c868dadeb3dd89a", "kernel_id": "71636"}, {"ref": "dsocaciu/notebook4ee576ff9e", "kernel_id": "88100"}, {"ref": "ihopethiswillfi/notebook-464825ae0a3b735d275c", "kernel_id": "80297"}, {"ref": "ihopethiswillfi/notebook-112338ba753a4f57aba2", "kernel_id": "80298"}, {"ref": "kevinpalm/notebook-117d68d835f20a05582f", "kernel_id": "77074"}, {"ref": "nelly2k/notebook-35542a064c3d95874591", "kernel_id": "69659"}, {"ref": "nelly2k/notebook-7c0c8331d876d1541dba", "kernel_id": "69660"}, {"ref": "nelly2k/notebook-121434bbde94b4b991ae", "kernel_id": "69649"}, {"ref": "charlesvestur/notebook-8a712884ff2a537f4658", "kernel_id": "75823"}, {"ref": "charlesvestur/notebook-724ccfff6312101ca50c", "kernel_id": "73680"}, {"ref": "charlesvestur/notebook-b7e767d418f5a3d6b6e2", "kernel_id": "70945"}, {"ref": "charlesvestur/notebook-8ad167a5288a13f27290", "kernel_id": "70946"}, {"ref": "ivanochkin/notebook-e5060b79d29b7bdd72af", "kernel_id": "82505"}, {"ref": "ivanochkin/exploring-products", "kernel_id": "84384"}, {"ref": "udayrddy/cliente-tabla-cleansing", "kernel_id": "77096"}, {"ref": "udayrddy/notebook-6838c33cf84ad9b9e5da", "kernel_id": "77304"}, {"ref": "markevans/notebook-8d0ef74f2a5f7b9b6cf1", "kernel_id": "71475"}, {"ref": "markevans/exploratory-data-analysis", "kernel_id": "71458"}, {"ref": "markevans/firstnotebook", "kernel_id": "71460"}, {"ref": "long3000/notebook-852ec423d145d25960d4", "kernel_id": "81199"}, {"ref": "snidhi/notebook-c20217ea17a1661e1b66", "kernel_id": "85135"}, {"ref": "lehlohonolo/myscrip", "kernel_id": "77533"}, {"ref": "shixw125/log-mean-plus-lb-0-47", "kernel_id": "79902"}, {"ref": "yishan/exploratory-data-analysis", "kernel_id": "82810"}, {"ref": "gerre22/notebook-4c1646d16256ddbe620a", "kernel_id": "76985"}, {"ref": "gerre22/notebook-fcdf74fbc0c47656f0a4", "kernel_id": "76986"}, {"ref": "pedrohaamorim/exploring-products", "kernel_id": "86232"}, {"ref": "daniellessa/notebook5a6850f1bd", "kernel_id": "86233"}, {"ref": "josephbudin/median", "kernel_id": "73590"}, {"ref": "doublefox/exploring-products", "kernel_id": "87991"}, {"ref": "doublefox/exploratory-data-analysis", "kernel_id": "87953"}, {"ref": "mythicalboy/exploratory-data-analysis", "kernel_id": "70865"}, {"ref": "mythicalboy/notebook9ec1afc911", "kernel_id": "86061"}, {"ref": "hieupham/notebook-0dc7b2f0776397582a08", "kernel_id": "82306"}, {"ref": "hieupham/notebook-eaed1b491a1d3403643e", "kernel_id": "76890"}, {"ref": "hieupham/notebook-c66c50471738dbe997ba", "kernel_id": "77108"}, {"ref": "ravem77/notebookb42e6ed78b", "kernel_id": "89499"}, {"ref": "evantan/test-r-script", "kernel_id": "71390"}, {"ref": "evantan/notebook-e31de608c64b3ceca53a", "kernel_id": "71391"}, {"ref": "evantan/test-notebook", "kernel_id": "71388"}, {"ref": "stevendoll/notebook-6bb52af67d528558a74b", "kernel_id": "73477"}, {"ref": "stevendoll/notebook-bb9d1b8b1a6655cf1611", "kernel_id": "73478"}, {"ref": "aurelou/testscript1-firstonkaggle", "kernel_id": "69926"}, {"ref": "ssk1994/bimbo", "kernel_id": "73669"}, {"ref": "ssk1994/notebook-d61492f1cfbbc5858da7", "kernel_id": "73670"}, {"ref": "ssk1994/notebook-88e29c2f2a6c323be4c1", "kernel_id": "73672"}, {"ref": "ssk1994/notebook-d4c10c863a2670c197d1", "kernel_id": "74117"}, {"ref": "ssk1994/notebook-4b5f3ab54741860db38b", "kernel_id": "74114"}, {"ref": "ssk1994/notebook-22cb332301207f1750c4", "kernel_id": "74132"}, {"ref": "ssk1994/notebook-03ae84a55d88d3aed920", "kernel_id": "74137"}, {"ref": "ssk1994/notebook-00a6977ef6e2c7ca3a19", "kernel_id": "74138"}, {"ref": "ssk1994/notebook-24381d46ab48f25325ce", "kernel_id": "74139"}, {"ref": "ssk1994/notebook-8118d338bf599dba7e57", "kernel_id": "74140"}, {"ref": "ssk1994/notebook-7489dea66dafe716d9f0", "kernel_id": "74141"}, {"ref": "ssk1994/notebook-8f0ef5978b2432e41678", "kernel_id": "74142"}, {"ref": "ssk1994/notebook-b6932dab7c02e1348025", "kernel_id": "73793"}, {"ref": "ssk1994/notebook-e96f94d4026b4f7181ff", "kernel_id": "73804"}, {"ref": "ssk1994/notebook-830c255dc49b3f59b56d", "kernel_id": "73809"}, {"ref": "ssk1994/notebook-2afbb89e8ec20e1be014", "kernel_id": "73810"}, {"ref": "ssk1994/notebook-dba946f7586486583d9d", "kernel_id": "73811"}, {"ref": "ssk1994/notebook-024d5777f0b4d2450a06", "kernel_id": "73862"}, {"ref": "ssk1994/notebook-fdb35c2686dbfa1ba9c1", "kernel_id": "75125"}, {"ref": "ssk1994/notebook-bccd51189b26ce7edb20", "kernel_id": "75126"}, {"ref": "ssk1994/bimbo1", "kernel_id": "75127"}, {"ref": "ssk1994/notebook-6873aaa766354f950bbf", "kernel_id": "76439"}, {"ref": "ssk1994/notebook-7f9fbb6eb1d937e771eb", "kernel_id": "76440"}, {"ref": "ssk1994/bimbo-kaggle", "kernel_id": "76441"}, {"ref": "ssk1994/notebook-b122b52b129956ba80a8", "kernel_id": "76442"}, {"ref": "ssk1994/notebook-daa71761141f392842ea", "kernel_id": "76444"}, {"ref": "ssk1994/notebook-d95edc708d7e3ce476ab", "kernel_id": "76445"}, {"ref": "ssk1994/notebook-ced20fd1639cd68faf04", "kernel_id": "76462"}, {"ref": "ssk1994/notebook-98017a5c62bb57febfb2", "kernel_id": "76448"}, {"ref": "ssk1994/notebook-3b97d795549df5609531", "kernel_id": "76451"}, {"ref": "ssk1994/notebook-44648ed4b82070fbc80d", "kernel_id": "76787"}, {"ref": "ssk1994/notebook-cecd29d616b64171a790", "kernel_id": "76780"}, {"ref": "ssk1994/notebook-b5c64bce344d43a4fd93", "kernel_id": "76491"}, {"ref": "ssk1994/notebook-960faed2117b56913d2d", "kernel_id": "76554"}, {"ref": "ssk1994/notebook-0de778a9c847dfa80216", "kernel_id": "76549"}, {"ref": "ssk1994/notebook-913a53b26eb757b31e88", "kernel_id": "76560"}, {"ref": "ssk1994/notebook-f55c2e1175eaa2409eff", "kernel_id": "76580"}, {"ref": "ssk1994/notebook-f5055b3586aa59c5fee4", "kernel_id": "76944"}, {"ref": "ssk1994/notebook-8346c7f7d5fb1857dbe2", "kernel_id": "76983"}, {"ref": "ssk1994/notebook-d0952209419487dd0f47", "kernel_id": "77198"}, {"ref": "ssk1994/notebook-06727aea5388368abeac", "kernel_id": "77165"}, {"ref": "ssk1994/notebook-5db24df09b8a23f29559", "kernel_id": "77161"}, {"ref": "ssk1994/notebook-42256055dbfe65afedd6", "kernel_id": "77330"}, {"ref": "ssk1994/notebook-1992d110895bbadb16eb", "kernel_id": "77337"}, {"ref": "ssk1994/notebook-f2b9d7ddb171559bbfdb", "kernel_id": "77381"}, {"ref": "ssk1994/notebook-fa897c1773b954970cbc", "kernel_id": "78308"}, {"ref": "ssk1994/notebook-b897992042eadc3655e3", "kernel_id": "78309"}, {"ref": "ssk1994/notebook-68618627dc9bf68f4297", "kernel_id": "80541"}, {"ref": "guillenjv/exploratory-data-analysis", "kernel_id": "69677"}, {"ref": "njitram/firsttry", "kernel_id": "70403"}, {"ref": "krykaczewski/notebook-56e4c38266094b072e84", "kernel_id": "72867"}, {"ref": "khwunchai/notebook8d0a6737c9", "kernel_id": "90499"}, {"ref": "gohuygo/notebook-93b15188557095bf68f4", "kernel_id": "69592"}, {"ref": "negasonic/notebook-8b2c9023510b1bc2348d", "kernel_id": "79614"}, {"ref": "indian89/notebook-326daee1fcbaafc6c949", "kernel_id": "81737"}, {"ref": "indian89/notebook-fb3d6d3c86907dc6f009", "kernel_id": "81742"}, {"ref": "schekuri/eda-with-bimbo-in-r", "kernel_id": "91292"}, {"ref": "schekuri/notebook9817fcf6b5", "kernel_id": "91111"}, {"ref": "juanmalorenzo/20160720", "kernel_id": "80362"}, {"ref": "juanmalorenzo/notebook-62f42b5b72204cfe4716", "kernel_id": "76152"}, {"ref": "fengchong/notebook-9ba2edabd855e0c1671f", "kernel_id": "84909"}, {"ref": "mercurelondon/exploring-products", "kernel_id": "74332"}, {"ref": "arunprasad/two-param", "kernel_id": "88516"}, {"ref": "takayuki1127/notebook-5f06d108ddaf11b525c0", "kernel_id": "72072"}, {"ref": "takayuki1127/notebook-42f57fb87c6a7e3fdd26", "kernel_id": "72073"}, {"ref": "lancelot1969/runscript", "kernel_id": "70539"}, {"ref": "lancelot1969/exploratory-data-analysis", "kernel_id": "69641"}, {"ref": "sanjulademel/notebook-34248844a44b729ca34f", "kernel_id": "71556"}, {"ref": "sanjulademel/bimbo-1", "kernel_id": "71358"}, {"ref": "amhic82/exploring-products", "kernel_id": "73350"}, {"ref": "nathanz/notebook-7b00a252da81245f9a48", "kernel_id": "69905"}, {"ref": "anishanalytics/cluster", "kernel_id": "78951"}, {"ref": "balajia/notebook-05a1f4d0f822fa116fc8", "kernel_id": "82464"}, {"ref": "rnavagamuwa/dataset", "kernel_id": "77514"}, {"ref": "rnavagamuwa/submit-mean", "kernel_id": "79036"}, {"ref": "rnavagamuwa/final", "kernel_id": "92829"}, {"ref": "omarespinoza28/notebook-4f4df13d1f52833cca61", "kernel_id": "81648"}, {"ref": "conifer/exploring-products", "kernel_id": "75667"}, {"ref": "conifer/notebook1e293d9e55", "kernel_id": "92100"}, {"ref": "belyaevmyu/2016-06-18-01", "kernel_id": "72209"}, {"ref": "belyaevmyu/2016-06-13-01", "kernel_id": "70880"}, {"ref": "guilhermeprokisch/nothing", "kernel_id": "71783"}, {"ref": "guilhermeprokisch/exploratory-data-analysis", "kernel_id": "71780"}, {"ref": "surajitbiswas/notebookb708a99fda", "kernel_id": "86419"}, {"ref": "surajitbiswas/notebookfd6620775f", "kernel_id": "86420"}, {"ref": "gullu39/bimbonew", "kernel_id": "76099"}, {"ref": "rajat8878/notebook7bcd846355", "kernel_id": "91744"}, {"ref": "adhiman356/11111", "kernel_id": "85873"}, {"ref": "adhiman356/trial", "kernel_id": "85835"}, {"ref": "gouyunfei/fortest-notebook", "kernel_id": "70587"}, {"ref": "swetabajaj/analyzing-data", "kernel_id": "89621"}, {"ref": "aerohack/notebook-e7c109ab07c352e6afa5", "kernel_id": "78135"}, {"ref": "alexjboyd/notebookc5ce2c2291", "kernel_id": "87119"}, {"ref": "liubieqian/notebook-035a4d15bd96d3414003", "kernel_id": "76892"}, {"ref": "liubieqian/notebook-b06bd9ac04de6678e578", "kernel_id": "76896"}, {"ref": "liubieqian/notebook-d010815723fa9f3e75e3", "kernel_id": "76897"}, {"ref": "liubieqian/rrrssss", "kernel_id": "76898"}, {"ref": "liubieqian/ddddffffssaa", "kernel_id": "76899"}, {"ref": "liubieqian/notebook-e8c72126ce479c7d2e3a", "kernel_id": "76998"}, {"ref": "liubieqian/notebook-58fc27df78900837098e", "kernel_id": "76999"}, {"ref": "sajibabu79/notebook-d9bd3d7eaa40390c9fdd", "kernel_id": "78343"}, {"ref": "sajibabu79/notebook-c11edf15f9fb6f89bae0", "kernel_id": "78344"}, {"ref": "sajibabu79/script-1-exploring", "kernel_id": "78345"}, {"ref": "andrewpan/explore-bimbo", "kernel_id": "75637"}, {"ref": "andrewpan/notebook-ba31ab339b3342243c1d", "kernel_id": "75629"}, {"ref": "andrewpan/bimbo-explore", "kernel_id": "78560"}, {"ref": "andrewpan/bimbo", "kernel_id": "84816"}, {"ref": "yuxiaodong/exploratory-data-analysis", "kernel_id": "69752"}, {"ref": "manuelsh/notebook-6b3abf8002928b919bc1", "kernel_id": "71418"}, {"ref": "manuelsh/chivas-guadalajara", "kernel_id": "71962"}, {"ref": "manuelsh/notebook-709192a580a8aa619124", "kernel_id": "71951"}, {"ref": "abbysobh/notebookbfd05a6e84", "kernel_id": "88323"}, {"ref": "abbysobh/notebook5adb8d3170", "kernel_id": "88398"}, {"ref": "abbysobh/notebookb811fc1574", "kernel_id": "88380"}, {"ref": "abbysobh/notebookcab99e5111", "kernel_id": "88401"}, {"ref": "abbysobh/classifying-client-type-using-client-names", "kernel_id": "88409"}, {"ref": "abbysobh/notebook66ec097e01", "kernel_id": "88410"}, {"ref": "phua7008/learning-how-to-explore-the-data", "kernel_id": "94477"}, {"ref": "jlzhang/log-mean-median-lb-0-48", "kernel_id": "76807"}, {"ref": "jlzhang/notebook-284e7000b233c34f0523", "kernel_id": "77098"}, {"ref": "jlzhang/groupo2", "kernel_id": "79767"}, {"ref": "andryhenintsoa/notebook-53a13d41d85e06ba345b", "kernel_id": "71149"}, {"ref": "andryhenintsoa/notebook-f8928d70daf502b1963d", "kernel_id": "70780"}, {"ref": "osamir/notebook3d1c5541c5", "kernel_id": "86551"}, {"ref": "vargas/notebook-a0f2e49733f2ebe02c3d", "kernel_id": "78864"}, {"ref": "vargas/simple-mean-0-76354", "kernel_id": "78867"}, {"ref": "vargas/log-test", "kernel_id": "78889"}, {"ref": "mhkurdi/notebook-0d02ee9f298f4cecf9fa", "kernel_id": "79543"}, {"ref": "mhkurdi/notebook-02e80e8dc9dd88aa1c2a", "kernel_id": "79544"}, {"ref": "mhkurdi/the-data-of-grupo-bimbo", "kernel_id": "79548"}, {"ref": "scratgirl/notebook2fe4030bb3", "kernel_id": "92784"}, {"ref": "gvyshnya/h2o-deep-learning-model-basic-prototyp", "kernel_id": "73382"}, {"ref": "cbcb1209/notebook-054c87f62e729f3c5779", "kernel_id": "77212"}, {"ref": "arodionoff/the-first-python-code-knn-classifier", "kernel_id": "69812"}, {"ref": "mhv2109/notebook7fb853801f", "kernel_id": "87811"}, {"ref": "mhv2109/notebook0e2b94a972", "kernel_id": "87823"}, {"ref": "mhv2109/notebook5da88e7aad", "kernel_id": "87824"}, {"ref": "mhv2109/notebookf965bad142", "kernel_id": "87817"}, {"ref": "mhv2109/notebook7dd0459f34", "kernel_id": "87826"}, {"ref": "mhv2109/notebook99e40d510e", "kernel_id": "89386"}, {"ref": "pyhsiao/notebook-c2163e90dcc949dcc373", "kernel_id": "70399"}, {"ref": "anirudth/notebook-2e5d8e32e5dd83c03fdb", "kernel_id": "77427"}, {"ref": "barryc/exploring-products", "kernel_id": "76139"}, {"ref": "pgarciamartinez/notebook-bbc0160acad7e3ff60c5", "kernel_id": "69534"}, {"ref": "sadishradjefr/notebook-e923bdd7511619d8a124", "kernel_id": "75899"}, {"ref": "drsaunders/do-returns-predict-future-sales", "kernel_id": "91876"}, {"ref": "drsaunders/do-returns-predict-sales", "kernel_id": "91888"}, {"ref": "cuiran/notebook-86205a6a4036c39bfa14", "kernel_id": "73351"}, {"ref": "cuiran/notebook-9ae9b56ecbb0cc002b12", "kernel_id": "73349"}, {"ref": "cuiran/notebook-a7251bc296b60eb259c4", "kernel_id": "73707"}, {"ref": "cuiran/notebook-699f8a652f1d17e2359d", "kernel_id": "73665"}, {"ref": "cuiran/notebook-061f660fb3ac228c6271", "kernel_id": "73703"}, {"ref": "ruggedrabbit/testingkaggle", "kernel_id": "69768"}, {"ref": "ruggedrabbit/notebook-a2645836782be26b4761", "kernel_id": "69769"}, {"ref": "akhil5993/exploratory-analysis-grupo-bimbo", "kernel_id": "69696"}, {"ref": "linguosen007/notebook-2b52a6830b875cd4e6e2", "kernel_id": "76731"}, {"ref": "linguosen007/notebook-f39298f7ed6202f676e6", "kernel_id": "75914"}, {"ref": "hthannah34/notebook-cc24e4d145241ad71212", "kernel_id": "70377"}, {"ref": "hthannah34/notebook-72042d87c735816aa180", "kernel_id": "70416"}, {"ref": "hthannah34/notebook-c0a6884cf8c5fee21068", "kernel_id": "70417"}, {"ref": "hthannah34/notebook-75285c60bacd6278e246", "kernel_id": "70088"}, {"ref": "stanyip/notebook-0826e5321fa1c8915da9", "kernel_id": "70085"}, {"ref": "fabienvs/grupo-bimbo-data-analysis", "kernel_id": "71400"}, {"ref": "westhyena/dontknowwhat2do", "kernel_id": "72454"}, {"ref": "westhyena/notebook-77f6c4177266ca59aa3e", "kernel_id": "72451"}, {"ref": "westhyena/notebook-2eed1c1d0b227e523c5a", "kernel_id": "72452"}, {"ref": "serovvitaly/notebook-a8184976300e75d4a26b", "kernel_id": "81940"}, {"ref": "liukang92/notebook-6ccd054a8952b7be19d3", "kernel_id": "75712"}, {"ref": "georgekyle/notebook-4f8a16192cb324fd83b6", "kernel_id": "77147"}, {"ref": "liuyang1123/aaaaa", "kernel_id": "71415"}, {"ref": "kaushikkumar005/groupbimbotest", "kernel_id": "79380"}, {"ref": "atsutake/myfirstscript", "kernel_id": "69776"}, {"ref": "atsutake/notebook-ac80cb6daec70794b734", "kernel_id": "69790"}, {"ref": "linganesan/script-taz", "kernel_id": "88970"}, {"ref": "linganesan/cse-taz", "kernel_id": "88972"}, {"ref": "linganesan/python-log-mean", "kernel_id": "90510"}, {"ref": "linganesan/new-taz-script-3", "kernel_id": "90378"}, {"ref": "linganesan/exploring-products", "kernel_id": "90085"}, {"ref": "linganesan/new-taz-script", "kernel_id": "90106"}, {"ref": "linganesan/notebook6936fd39fb", "kernel_id": "90098"}, {"ref": "linganesan/tazscript-r", "kernel_id": "79262"}, {"ref": "linganesan/manitest", "kernel_id": "79259"}, {"ref": "linganesan/notebook-4a4101268512c7a4dc08", "kernel_id": "79255"}, {"ref": "tushargandhi/notebook-eda1bee1368b8c28a4fe", "kernel_id": "75473"}, {"ref": "jeffd23/notebook-c7a954608a5bba0f8185", "kernel_id": "75000"}, {"ref": "threapwood/notebook-a72949f57c47725f4401", "kernel_id": "69407"}, {"ref": "arindamgot/log-mean-plus-lb-0-4700", "kernel_id": "91273"}, {"ref": "miibotree/notebook-61f64dc9973bce2d770b", "kernel_id": "71656"}, {"ref": "miibotree/exploratory-data-analysis", "kernel_id": "71647"}, {"ref": "miibotree/eda-town", "kernel_id": "72098"}, {"ref": "miibotree/notebook-f2d51eb66812f08ad502", "kernel_id": "72099"}, {"ref": "miibotree/notebook-f6c99b4a329ecaee9547", "kernel_id": "72102"}, {"ref": "miibotree/notebook-a6a4be2cbad790540e04", "kernel_id": "72103"}, {"ref": "miibotree/notebook-93a8a0527e324d536890", "kernel_id": "72104"}, {"ref": "supunmadushanka/testing-2", "kernel_id": "92665"}, {"ref": "supunmadushanka/testing-1", "kernel_id": "92653"}, {"ref": "supunmadushanka/test-1", "kernel_id": "88976"}, {"ref": "koostb/notebook-22a1223f3988639725af", "kernel_id": "84242"}, {"ref": "basrisahin/notebook-4819408389651a05b38b", "kernel_id": "69843"}, {"ref": "jonmhong/notebook-abe9d86f40b2c3153e71", "kernel_id": "82678"}, {"ref": "gauravgr/notebook-d17c1e1aaf969b3087e0", "kernel_id": "74133"}, {"ref": "thilinicse/random-forset", "kernel_id": "92336"}, {"ref": "thilinicse/regression-tree", "kernel_id": "92277"}, {"ref": "thilinapiyadasun/log-expmruta", "kernel_id": "88941"}, {"ref": "thilinapiyadasun/log-expm", "kernel_id": "88767"}, {"ref": "thilinapiyadasun/testrun", "kernel_id": "88769"}, {"ref": "thilinapiyadasun/removing-outilirs", "kernel_id": "89860"}, {"ref": "thilinapiyadasun/log-expmruta1", "kernel_id": "89808"}, {"ref": "thilinapiyadasun/preprocessingdata", "kernel_id": "87531"}, {"ref": "thilinapiyadasun/my-note", "kernel_id": "74653"}, {"ref": "thilinapiyadasun/myscripttest", "kernel_id": "74686"}, {"ref": "cactuslibo/notebook-1de949001893d6687b42", "kernel_id": "70280"}, {"ref": "damiaferrer/notebook-93635cca324ef72c60d7", "kernel_id": "84984"}, {"ref": "berkerkozan/notebookbd174be8f7", "kernel_id": "89779"}, {"ref": "cwidanage/log-mean-plus-lb-0-4700", "kernel_id": "82608"}, {"ref": "benkoulouch/notebook-384a7f60dbc87b02e750", "kernel_id": "84636"}, {"ref": "benkoulouch/notebook-76680741f7e9eb3e6e2f", "kernel_id": "84637"}, {"ref": "benkoulouch/essjihane", "kernel_id": "99099"}, {"ref": "benkoulouch/jihane", "kernel_id": "99109"}, {"ref": "benkoulouch/jihanebenkoulouch", "kernel_id": "99107"}, {"ref": "benkoulouch/notebooka87d2530ce", "kernel_id": "155898"}, {"ref": "benkoulouch/notebook8f79153b60", "kernel_id": "155903"}, {"ref": "saezienne/exploring-products", "kernel_id": "155988"}, {"ref": "saezienne/simple-xgboost-week-9", "kernel_id": "155989"}, {"ref": "trappatoni/first-test", "kernel_id": "70604"}, {"ref": "trappatoni/notebook-f3a344c9a2462f570d2c", "kernel_id": "70601"}, {"ref": "kokulan/bimbo-script", "kernel_id": "86399"}, {"ref": "teddyshaw1992/python-sgd-regressor", "kernel_id": "80383"}, {"ref": "pcdragon/exploring-products", "kernel_id": "82098"}, {"ref": "pcdragon/logmedian-pcdragon-v2", "kernel_id": "92666"}, {"ref": "pcdragon/logmeans-pcdragon-v3", "kernel_id": "92690"}, {"ref": "pcdragon/logmeans-pcdragon-v1", "kernel_id": "92630"}, {"ref": "pcdragon/submissionmedian", "kernel_id": "91497"}, {"ref": "pcdragon/submissionmean", "kernel_id": "91502"}, {"ref": "arinazv/notebook-8a7feaab603483f25a6f", "kernel_id": "70868"}, {"ref": "joeythedog/exploratory-data-analysis", "kernel_id": "71001"}, {"ref": "josegzz/exploring-products", "kernel_id": "143452"}, {"ref": "sathyawb/notebook-c866915dd05a77ef58c7", "kernel_id": "77157"}, {"ref": "dilannuwantha/bimbo-test", "kernel_id": "87554"}, {"ref": "dilannuwantha/data-visualization", "kernel_id": "93285"}, {"ref": "dilannuwantha/bimbo-predictions", "kernel_id": "89585"}, {"ref": "dilannuwantha/h2o-predictionmodel-gbm", "kernel_id": "89291"}, {"ref": "dilannuwantha/h2o-analyze", "kernel_id": "88556"}, {"ref": "chamupathi/my-bimbo-2", "kernel_id": "91340"}, {"ref": "chamupathi/my-bimbo-1", "kernel_id": "91327"}, {"ref": "samgwin/notebook-b8f26713bd71d641385a", "kernel_id": "78237"}, {"ref": "devachaljha/firstscript", "kernel_id": "76828"}, {"ref": "malakaganga/mytest1", "kernel_id": "89714"}, {"ref": "malakaganga/notebook-9cbc942bb58f7edc3882", "kernel_id": "84064"}, {"ref": "sudhatr/learning-r", "kernel_id": "74869"}, {"ref": "loiclt/notebook-27345f9237116b4a5ff5", "kernel_id": "76527"}, {"ref": "loiclt/notebook-e0e1a1e65a4bd684e1e5", "kernel_id": "77013"}, {"ref": "loiclt/notebook-07aa1e6e646fcc6fbffe", "kernel_id": "77015"}, {"ref": "haopan456/kkkkkk", "kernel_id": "73736"}, {"ref": "yepyxc/notebook-33851f9288b54c4feb78", "kernel_id": "77385"}, {"ref": "andromeado/notebook-fc7ebea90dc39718c08a", "kernel_id": "73072"}, {"ref": "clr717/notebook-bd1cff45ac29a1b08629", "kernel_id": "76130"}, {"ref": "yhidaka/notebook-b387fa8ca9725bdf1587", "kernel_id": "77680"}, {"ref": "yhidaka/notebook-f235423e3ff1214db4b6", "kernel_id": "77682"}, {"ref": "demoonism/notebook-af115815f4057e0ede48", "kernel_id": "74936"}, {"ref": "demoonism/exploratory-data-analysis", "kernel_id": "74907"}, {"ref": "nishadi/notebook-78ad1dc5811a2b5b16ab", "kernel_id": "81189"}, {"ref": "nishadi/notebook-3debd943de7020b616cd", "kernel_id": "81191"}, {"ref": "hrueda/exploring-products", "kernel_id": "80474"}, {"ref": "hrueda/notebook-9fd443a1bf63deaf0605", "kernel_id": "80705"}, {"ref": "samadhi/entry1", "kernel_id": "88964"}, {"ref": "samadhi/script-15-trees", "kernel_id": "92857"}, {"ref": "samadhi/script-increasedtrainpartition", "kernel_id": "92868"}, {"ref": "skgadi/testprogram", "kernel_id": "78605"}, {"ref": "ritthikrai/ritthikrai", "kernel_id": "75759"}, {"ref": "ritthikrai/testexmaple", "kernel_id": "82782"}, {"ref": "dhanurcg/test-2", "kernel_id": "92647"}, {"ref": "dhanurcg/test-1", "kernel_id": "92605"}, {"ref": "rohanraj/notebook-6d5692b940b1e95dfc1d", "kernel_id": "77352"}, {"ref": "bdavis/notebookf6150e96b3", "kernel_id": "89307"}, {"ref": "bdavis/notebook-2dc5a19721280fbeeeff", "kernel_id": "81591"}, {"ref": "bdavis/notebook-4cde0867ab8ac5f76429", "kernel_id": "81610"}, {"ref": "bdavis/exploring-better-sales", "kernel_id": "75017"}, {"ref": "bdavis/notebook-1934a3b2918b49a55a48", "kernel_id": "75014"}, {"ref": "bdavis/notebook-f44bb5958302cb1a1d73", "kernel_id": "75015"}, {"ref": "bdavis/notebook-8ab9d5763df2f940e11a", "kernel_id": "76771"}, {"ref": "bdavis/notebook-945ff87764d36385e122", "kernel_id": "76784"}, {"ref": "bdavis/notebook-ae9a064723a3eae4b434", "kernel_id": "76668"}, {"ref": "bdavis/notebook-457830f6828849550113", "kernel_id": "76669"}, {"ref": "bdavis/notebook-b3da67fb9a3543e04aeb", "kernel_id": "76672"}, {"ref": "hooope/notebook-f9bbd688f15703dc49e1", "kernel_id": "74294"}, {"ref": "thegreatesthumphrey/notebook-f49036ce7b851bfe6774", "kernel_id": "72647"}, {"ref": "thegreatesthumphrey/notebook-4376ef1c8a49cb4a717f", "kernel_id": "72645"}, {"ref": "ankurpatni/notebook-af5317acfc6705505f6c", "kernel_id": "79710"}, {"ref": "basswan/python-script-for-bimbo", "kernel_id": "76171"}, {"ref": "basswan/bp-for-p", "kernel_id": "75117"}, {"ref": "kautukp/trial1", "kernel_id": "77423"}, {"ref": "eliyuyx/notebook-453905761e722014e1af", "kernel_id": "73966"}, {"ref": "datapanda17/notebook-79b99ceae8f4f7809b8c", "kernel_id": "72884"}, {"ref": "datapanda17/notebook-3acdf58e771edfb0dfe3", "kernel_id": "72871"}, {"ref": "datapanda17/notebook-222b396273a2881c3fc9", "kernel_id": "72875"}, {"ref": "datapanda17/first-script", "kernel_id": "73335"}, {"ref": "datapanda17/notebook-dbaf620eb2bdad6a3f6f", "kernel_id": "73336"}, {"ref": "datapanda17/first-note", "kernel_id": "78566"}, {"ref": "datapanda17/second-note", "kernel_id": "78567"}, {"ref": "datapanda17/notebook-42c520ab0ab8b764bb7a", "kernel_id": "78561"}, {"ref": "chensn/notebook-efe45a0cebe502cb5c66", "kernel_id": "73020"}, {"ref": "zwanto/notebook-74d4318e88ecb115b9e1", "kernel_id": "73128"}, {"ref": "anzershaffi/exploring-products", "kernel_id": "121026"}, {"ref": "franmeye/bimbo-test", "kernel_id": "73333"}, {"ref": "franmeye/notebook-21312b62c95ea10c9a68", "kernel_id": "73330"}, {"ref": "widanchath/check-best", "kernel_id": "92464"}, {"ref": "meloeeboudet/script-test", "kernel_id": "73076"}, {"ref": "mia1394/kd0708", "kernel_id": "76793"}, {"ref": "mia1394/notebook-3563bf6a9d0b8c8cae97", "kernel_id": "75680"}, {"ref": "mia1394/notebook-6d399faed544bc4288a4", "kernel_id": "75682"}, {"ref": "mia1394/notebook-85fa57533e67bcbb312b", "kernel_id": "75672"}, {"ref": "mia1394/notebook-df9cbcf66bfa0d038cc2", "kernel_id": "75673"}, {"ref": "jd21670/asdfsdf", "kernel_id": "73160"}, {"ref": "nandula/logmean", "kernel_id": "91533"}, {"ref": "nandula/files", "kernel_id": "91285"}, {"ref": "tkalubowila/bimbo-test-1", "kernel_id": "86428"}, {"ref": "tkalubowila/data-visualization-demand", "kernel_id": "86489"}, {"ref": "tkalubowila/test-rmsle", "kernel_id": "86683"}, {"ref": "tkalubowila/h2o-gbm", "kernel_id": "88473"}, {"ref": "tkalubowila/h2o-analyze-tk", "kernel_id": "89168"}, {"ref": "upekka/plotting", "kernel_id": "94161"}, {"ref": "upekka/notebook308b72292a", "kernel_id": "88990"}, {"ref": "upekka/notebook4c22a1bb38", "kernel_id": "88985"}, {"ref": "softyy/notebook-289f33d59b31e72a165b", "kernel_id": "75373"}, {"ref": "adventt/prueba-bimbo", "kernel_id": "92372"}, {"ref": "redstar/classifying-client-type-using-client-names", "kernel_id": "91814"}, {"ref": "madhuka92/sample", "kernel_id": "89276"}, {"ref": "agalea91/notebookb7fbff75d3", "kernel_id": "89194"}, {"ref": "agalea91/notebook70c1d7e3f7", "kernel_id": "89191"}, {"ref": "agalea91/demand-changes-week-to-week", "kernel_id": "88390"}, {"ref": "hamlakshan/bimbo-xgboost-r-script-lb-0-457", "kernel_id": "89519"}, {"ref": "graven/notebook-70f44e7b3a1cc702f59a", "kernel_id": "82369"}, {"ref": "sapphire0/exploratory-data-analysis", "kernel_id": "93323"}, {"ref": "mirage20/testr", "kernel_id": "83912"}, {"ref": "mirage20/notebook1b3c730d77", "kernel_id": "89449"}, {"ref": "jambhekarneel/log-mean-plus-lb-new-445", "kernel_id": "77173"}, {"ref": "jambhekarneel/log-mean-plus-lb-0-788-v4", "kernel_id": "77818"}, {"ref": "jambhekarneel/log-mean-plus-lb-0-788", "kernel_id": "77469"}, {"ref": "jambhekarneel/log-mean-plus-lb-0-788-v3", "kernel_id": "77717"}, {"ref": "jambhekarneel/log-mean-plus-lb-1-083", "kernel_id": "79159"}, {"ref": "jambhekarneel/log-mean-plus-lb-1-088", "kernel_id": "79617"}, {"ref": "jpotrymajlo/notebook-b84ec427f2d77029f1e9", "kernel_id": "74210"}, {"ref": "angrycat/log-mean-plus-lb-0-47411", "kernel_id": "83954"}, {"ref": "angrycat/log-mean-plus-lb-0-4700-catted", "kernel_id": "84122"}, {"ref": "ildiii05/notebook-a8ab02e978352d290574", "kernel_id": "76790"}, {"ref": "ildiii05/notebook-aecb0125a2337098e247", "kernel_id": "76776"}, {"ref": "ildiii05/notebook-5cdceb5556538f357e35", "kernel_id": "77392"}, {"ref": "ildiii05/notebook-345c7805c5ed732716dd", "kernel_id": "77388"}, {"ref": "ildiii05/notebook-f10a4888dfff06f27b33", "kernel_id": "77339"}, {"ref": "ildiii05/notebook-5349918f9822a962c536", "kernel_id": "77340"}, {"ref": "ildiii05/random1", "kernel_id": "77371"}, {"ref": "ildiii05/notebook-b2a3554ffb38cfe8a555", "kernel_id": "77415"}, {"ref": "ildiii05/notebook-c666e89cdeac6535b188", "kernel_id": "77758"}, {"ref": "praveens73/notebook-0c539f113e701bb9263d", "kernel_id": "74170"}, {"ref": "philldonn/log-mean-plus-lb-0-47-in-python", "kernel_id": "87126"}, {"ref": "philldonn/log-mean-plus-lb-0-4700-in-python", "kernel_id": "87080"}, {"ref": "chikimtrinh/notebook-cda7fc04b175520e540c", "kernel_id": "74481"}, {"ref": "adityakumarsinha/forked-script", "kernel_id": "88973"}, {"ref": "scottafunkhouser/sf-bimbo", "kernel_id": "76132"}, {"ref": "projectdm/using-82-less-memory", "kernel_id": "89549"}, {"ref": "mbasij/notebook-d47c3e8edf93a08b1966", "kernel_id": "75458"}, {"ref": "bjornstrom/notebook-06e75d5648388b05b28b", "kernel_id": "74908"}, {"ref": "bjornstrom/notebook-e3985b6d2988c05a4013", "kernel_id": "74910"}, {"ref": "bjornstrom/notebook-3548a02e49d048172e9f", "kernel_id": "74905"}, {"ref": "dinindu/simple-xgboost-week-9-33f2e071", "kernel_id": "91929"}, {"ref": "dinindu/simple-xgboost-week-9", "kernel_id": "91848"}, {"ref": "antonm/parse-products", "kernel_id": "97381"}, {"ref": "kvaradi94/notebook-a429e54154935754f651", "kernel_id": "75911"}, {"ref": "kvaradi94/elso-feladat", "kernel_id": "75772"}, {"ref": "kvaradi94/abcde", "kernel_id": "75683"}, {"ref": "kvaradi94/masodik-feladat", "kernel_id": "75689"}, {"ref": "kvaradi94/rrrrr", "kernel_id": "76766"}, {"ref": "kvaradi94/notebook-69f8a1629a3908643887", "kernel_id": "76481"}, {"ref": "kvaradi94/atiras", "kernel_id": "77328"}, {"ref": "tennissuperstar/bimbo-bag-of-words", "kernel_id": "148943"}, {"ref": "tennissuperstar/notebook16f70b6d32", "kernel_id": "143618"}, {"ref": "tennissuperstar/naive-solution-and-semana-exploration", "kernel_id": "143656"}, {"ref": "os2004/notebook-35c42cf491cc59f928b3", "kernel_id": "75238"}, {"ref": "os2004/bimbo", "kernel_id": "75610"}, {"ref": "adagyenes/notebook69e44861d2", "kernel_id": "91261"}, {"ref": "adagyenes/notebook-9483dd73efc825a2016c", "kernel_id": "77331"}, {"ref": "adagyenes/notebook-3f34e75ea2815db292dc", "kernel_id": "77822"}, {"ref": "adagyenes/notebook-1d54c3dfe829bf8071d9", "kernel_id": "77777"}, {"ref": "adagyenes/notebook-e564a943758ef9773e80", "kernel_id": "76786"}, {"ref": "adagyenes/notebook-80e646dd735515327e6b", "kernel_id": "76789"}, {"ref": "adagyenes/notebook-8e8ee55138304948886c", "kernel_id": "76781"}, {"ref": "adagyenes/highway-to-hell", "kernel_id": "76774"}, {"ref": "piercingdan/notebook-32b5450e0dfa69db751e", "kernel_id": "75594"}, {"ref": "piercingdan/notebook-bdeca9abe3cc7071d88c", "kernel_id": "76432"}, {"ref": "piercingdan/exploring-products", "kernel_id": "76403"}, {"ref": "piercingdan/notebook-7398ad30228949b653f8", "kernel_id": "76405"}, {"ref": "piercingdan/notebook-ffcd1f7a21af5f423f09", "kernel_id": "76406"}, {"ref": "piercingdan/notebook-2a1b84b3799aa02d5963", "kernel_id": "76408"}, {"ref": "dbenji/notebook-c076a2623c4e88e9bc50", "kernel_id": "75686"}, {"ref": "dbenji/notebook-9d59b950d33daa1fc468", "kernel_id": "75677"}, {"ref": "arva23/k-mean", "kernel_id": "76788"}, {"ref": "arva23/notebook-63ee84e69dc3b1ebcbbb", "kernel_id": "75690"}, {"ref": "arva23/notebook-05f26df2eb6cccaad7f6", "kernel_id": "75708"}, {"ref": "arva23/notebook-f8f1173715ef07d28767", "kernel_id": "75729"}, {"ref": "arva23/notebook-5b1e40e4f1e2f9a493cf", "kernel_id": "75733"}, {"ref": "arva23/notebook-0261a09179437ab3cbe7", "kernel_id": "75736"}, {"ref": "arva23/notebook-72d568975c036b58bd54", "kernel_id": "75737"}, {"ref": "arva23/notebook-7a2d1a32e9d01440b26e", "kernel_id": "75738"}, {"ref": "arva23/testsetstats", "kernel_id": "75917"}, {"ref": "nemethpeter42/notebook-4481c9beac4b5f674b56", "kernel_id": "75731"}, {"ref": "nemethpeter42/valami", "kernel_id": "75728"}, {"ref": "nemethpeter42/notebook-6d8c1cc13f3d32fda86c", "kernel_id": "75721"}, {"ref": "nemethpeter42/evaluate", "kernel_id": "77367"}, {"ref": "nemethpeter42/osztalyozas", "kernel_id": "77403"}, {"ref": "nemethpeter42/evaluate2", "kernel_id": "77391"}, {"ref": "slbteam/notebook-56a808df442caa2fa269", "kernel_id": "76182"}, {"ref": "slbteam/notebook-40b02a4cc8f4896668fa", "kernel_id": "76183"}, {"ref": "slbteam/slbteam-script", "kernel_id": "76180"}, {"ref": "slbteam/notebook-c55261c949639535bd19", "kernel_id": "76186"}, {"ref": "slbteam/notebook-6f9ea0040726d11b3209", "kernel_id": "76187"}, {"ref": "afsane/notebook-528a113e3e5e0ceea248", "kernel_id": "80671"}, {"ref": "afsane/notebook-8d56b1a64b4a6bd38eb9", "kernel_id": "80669"}, {"ref": "janitha12/notebook8bb104d83b", "kernel_id": "91579"}, {"ref": "darxtar/exploring-products", "kernel_id": "81388"}, {"ref": "ahan123/aaaaaa", "kernel_id": "84989"}, {"ref": "andrewcurran/script-test", "kernel_id": "90717"}, {"ref": "udeesha/exploring-products", "kernel_id": "88742"}, {"ref": "udeesha/xgboost", "kernel_id": "88743"}, {"ref": "udeesha/gblinear1", "kernel_id": "90120"}, {"ref": "ilona0925/notebook-1aec8969119d3a694da6", "kernel_id": "79391"}, {"ref": "menakasiri/script-4", "kernel_id": "86524"}, {"ref": "menakasiri/script-2", "kernel_id": "80152"}, {"ref": "jluther/linreg", "kernel_id": "82768"}, {"ref": "wangyewen/clinkz2", "kernel_id": "79407"}, {"ref": "mercedes/notebook3790868d8d", "kernel_id": "107012"}, {"ref": "mercedes/notebook4732371cfd", "kernel_id": "107013"}, {"ref": "bennyaustin/notebook-71ae24a1e8a5e48a8637", "kernel_id": "77215"}, {"ref": "bennyaustin/notebook-e8a09ed21c89e694e8c6", "kernel_id": "81968"}, {"ref": "genieeeeeee/exploring-products", "kernel_id": "84290"}, {"ref": "genieeeeeee/notebook-f70b79db1d295f8499fb", "kernel_id": "84291"}, {"ref": "jsc332299/bimboattemptone", "kernel_id": "77979"}, {"ref": "damien123/script-py", "kernel_id": "92275"}, {"ref": "beardicus/zugzug", "kernel_id": "78273"}, {"ref": "sergproger/tensor", "kernel_id": "78480"}, {"ref": "lianyangfeng/notebook-f0b5e13cfbb735423707", "kernel_id": "84601"}, {"ref": "lianyangfeng/exploring-products", "kernel_id": "84522"}, {"ref": "scgiller/notebookc318c290c5", "kernel_id": "89336"}, {"ref": "frjo0083/bimbo-xgboost-r-script-lb-0-457", "kernel_id": "88113"}, {"ref": "vahidseydi/notebook0c271aa351", "kernel_id": "91266"}, {"ref": "jheelz/notebook-20606ee7c2e7905870d0", "kernel_id": "81114"}, {"ref": "jheelz/hgjgh", "kernel_id": "81115"}, {"ref": "sumanphuyal/notebook-ca89cfd5f8c61722804a", "kernel_id": "80835"}, {"ref": "sumanphuyal/notebook-3f9a91a2638a3f09bab4", "kernel_id": "80838"}, {"ref": "vicgalle/means", "kernel_id": "84420"}, {"ref": "vicgalle/notebook-ca226a18c60087a935e3", "kernel_id": "84947"}, {"ref": "tnroshan/notebook-53897aa5b11b2ea10963", "kernel_id": "81622"}, {"ref": "rafaelfarias/notebook-5b90779bc6215077c199", "kernel_id": "80643"}, {"ref": "ivanlflj/teste", "kernel_id": "87365"}, {"ref": "hroent/notebook-436833620a7c908e40c1", "kernel_id": "84023"}, {"ref": "hroent/notebook-3507d753a20877e62a6e", "kernel_id": "84024"}, {"ref": "danylchuk/simple-bimbo-solution", "kernel_id": "86075"}, {"ref": "benoitherin/notebook-82766bb7551be1bc330f", "kernel_id": "82565"}, {"ref": "pubudumahesh/our-method-with-mean", "kernel_id": "92707"}, {"ref": "pubudumahesh/data-visualization", "kernel_id": "91527"}, {"ref": "pubudumahesh/median-for-mean", "kernel_id": "91530"}, {"ref": "pubudumahesh/second-test", "kernel_id": "90678"}, {"ref": "pubudumahesh/firstkagglescript", "kernel_id": "90330"}, {"ref": "kgkalani/second-test", "kernel_id": "91493"}, {"ref": "kgkalani/test-7", "kernel_id": "92827"}, {"ref": "kgkalani/notebook39339d2258", "kernel_id": "92620"}, {"ref": "kgkalani/test-4", "kernel_id": "92171"}, {"ref": "jatowns/notebook-98d385d0bde79f29120c", "kernel_id": "84008"}, {"ref": "selfconstruct3d/firstone", "kernel_id": "83934"}, {"ref": "setasouto/notebook-3b5e2adc9e337657eadf", "kernel_id": "84334"}, {"ref": "varadha/exploring-products", "kernel_id": "104576"}, {"ref": "mutalisk/notebook99f920d344", "kernel_id": "89097"}, {"ref": "mutalisk/notebooka564bfbedb", "kernel_id": "89091"}, {"ref": "afsmast/bimbo-xgboost-r-script-lb-0-457", "kernel_id": "86729"}, {"ref": "thilinasamiddhi/grupo-bimbo-data-visualizations", "kernel_id": "93293"}, {"ref": "ryankresse/exploring-products", "kernel_id": "91157"}, {"ref": "ryankresse/exploring-products-74a59149", "kernel_id": "91165"}, {"ref": "ryankresse/exploring-products-94b51406", "kernel_id": "91166"}, {"ref": "dulajr/bimbo-xgboost-r-script-lb-0-457", "kernel_id": "88515"}, {"ref": "dulajr/xgboost", "kernel_id": "88660"}, {"ref": "dulajr/bimbo-xgboost-r-script", "kernel_id": "88662"}, {"ref": "nirojan/paragus-script-one", "kernel_id": "90288"}, {"ref": "nirojan/new-script", "kernel_id": "93284"}, {"ref": "teampiratez/notebook086327dc7c", "kernel_id": "91237"}, {"ref": "teampiratez/test-1", "kernel_id": "88745"}, {"ref": "teampiratez/test-anaconda", "kernel_id": "88738"}, {"ref": "teampiratez/firstsub", "kernel_id": "88768"}, {"ref": "teampiratez/test-new", "kernel_id": "88763"}, {"ref": "teampiratez/finalsub", "kernel_id": "92568"}, {"ref": "teampiratez/cdffdfdfd", "kernel_id": "92760"}, {"ref": "alexplatasl/notebookd5a0857409", "kernel_id": "102003"}, {"ref": "iddamalgoda/test-run", "kernel_id": "88532"}, {"ref": "lijiangbioinfo/notebook2a792765c2", "kernel_id": "92767"}, {"ref": "epicuser/test-1", "kernel_id": "89324"}, {"ref": "tomohiku/notebookff4d2d87fd", "kernel_id": "89510"}, {"ref": "tomohiku/notebook182cbd6f64", "kernel_id": "89531"}, {"ref": "zhenghuangcheng/log-mean-plus-lb-0-47-in-python", "kernel_id": "90086"}, {"ref": "bindobishorgho/kernel", "kernel_id": "90486"}, {"ref": "hushenglang/notebook1501885972", "kernel_id": "91913"}, {"ref": "derekknelson/notebook984ebafb6b", "kernel_id": "90864"}, {"ref": "plv360/first", "kernel_id": "91548"}, {"ref": "johncr3/exploring-products", "kernel_id": "94531"}, {"ref": "clouds123/python-log-mean", "kernel_id": "93000"}, {"ref": "eladgvirtz/exploring-products", "kernel_id": "258400"}, {"ref": "sd4174263/xgboost-python-script-lb-0-46249", "kernel_id": "115933"}, {"ref": "dalichow/exploring-products", "kernel_id": "118946"}, {"ref": "rohansarin/notebook2be06da6e0", "kernel_id": "237140"}, {"ref": "erfeiliu/notebooka528f0fcdf", "kernel_id": "112392"}, {"ref": "ireshaperera/firstscript", "kernel_id": "226112"}, {"ref": "madmachine/deneme", "kernel_id": "122907"}, {"ref": "cyivy1992/notebook5cb7747658", "kernel_id": "163758"}, {"ref": "repomaxx/notebook7cb3b120c6", "kernel_id": "158229"}, {"ref": "lokokon/notebookf0b195eadf", "kernel_id": "168487"}, {"ref": "jgoncalves/notebookc292a1bdca", "kernel_id": "202560"}, {"ref": "czw123/myfirstandtest", "kernel_id": "213985"}, {"ref": "neconoe/grupo-bimbo-data-analysis", "kernel_id": "221565"}, {"ref": "ba15266/kerneld2f7311d793", "kernel_id": "1195732"}, {"ref": "konmouta/anastasia-and-kostas", "kernel_id": "1199415"}, {"ref": "nived89/h2o-ai", "kernel_id": "3544360"}, {"ref": "cherdon/grupo-bimbo-r-visualisation", "kernel_id": "3522485"}, {"ref": "dakimoto/bimbo-demand-forecasting-lightgbm", "kernel_id": "5833241"}, {"ref": "greentearus/bimbo-w-dask-and-callbacks", "kernel_id": "6596553"}, {"ref": "harryliuhanyao/pca-fa-cluster", "kernel_id": "10188505"}, {"ref": "yurikoz/task-lr-2", "kernel_id": "21119391"}, {"ref": "ankitgodle/grupo", "kernel_id": "26892833"}, {"ref": "young310/bimbo-inventory-forecasting-using-lightgbm", "kernel_id": "36495446"}, {"ref": "yangyungching/bimbo-demand-forecasting-lightgbm", "kernel_id": "36530745"}, {"ref": "vaniatsai/bimbo-cat", "kernel_id": "37698891"}, {"ref": "peipeiyin/bimbo-test-5-3", "kernel_id": "38446336"}, {"ref": "vaniatsai/bimbo-0000", "kernel_id": "38484897"}, {"ref": "yujihirano/kaggle-bimbo-inventory-demand", "kernel_id": "39430437"}, {"ref": "agshiv92/group-bimbo-eda", "kernel_id": "60633511"}, {"ref": "agshiv92/group-bimbo-predictive-model", "kernel_id": "60824863"}, {"ref": "ksmooi/inventory-demand-forecast-xgboost-reg", "kernel_id": "71125934"}, {"ref": "kojikojikeio/grupo-bimbo-sampling-aware-lightgbm-fm-features", "kernel_id": "135984478"}]}
{"competition_id": "5261", "kernels": [{"ref": "kliang/notebookd822757c42", "kernel_id": "86405"}, {"ref": "alexxanderlarko/lr-exp", "kernel_id": "86889"}, {"ref": "alexxanderlarko/lb-0-987-dubl", "kernel_id": "87978"}, {"ref": "alexxanderlarko/xgb-0208sing", "kernel_id": "85133"}, {"ref": "alexxanderlarko/xgb-0208", "kernel_id": "85121"}, {"ref": "alexxanderlarko/xgb3108", "kernel_id": "92977"}, {"ref": "alexxanderlarko/mod3008", "kernel_id": "92634"}, {"ref": "alexxanderlarko/mod2908kaggle", "kernel_id": "92278"}, {"ref": "alexxanderlarko/xgb0509-k", "kernel_id": "94330"}, {"ref": "alexxanderlarko/xgb-0709k", "kernel_id": "94848"}, {"ref": "alexxanderlarko/redhat-markov1509", "kernel_id": "97086"}, {"ref": "alexxanderlarko/redhat-markov-ver2", "kernel_id": "97093"}, {"ref": "alexxanderlarko/redhat-markov1509ver3", "kernel_id": "97096"}, {"ref": "alexxanderlarko/rhver41", "kernel_id": "97113"}, {"ref": "benhamner/notebook563c604c3c", "kernel_id": "96364"}, {"ref": "benhamner/notebooke6776e489d", "kernel_id": "98899"}, {"ref": "benhamner/playground-22", "kernel_id": "95050"}, {"ref": "benhamner/notebook7d67e426f6", "kernel_id": "85697"}, {"ref": "benhamner/notebook548a4aaf4d", "kernel_id": "85747"}, {"ref": "benhamner/demo-asdf-3", "kernel_id": "85748"}, {"ref": "benhamner/notebook4c11e50414", "kernel_id": "86922"}, {"ref": "benhamner/demo-assdfdf", "kernel_id": "86923"}, {"ref": "benhamner/time-travel-eda", "kernel_id": "86531"}, {"ref": "shivaramkrs/my-take1", "kernel_id": "87285"}, {"ref": "shivaramkrs/understanding-the-data", "kernel_id": "87287"}, {"ref": "transplanted/notebook8ba757f4a0", "kernel_id": "90638"}, {"ref": "lujing/data-explore", "kernel_id": "90367"}, {"ref": "maternaj/random-forest-by-h2o-0-96-on-lb", "kernel_id": "85372"}, {"ref": "gykovacs/notebooka19baa2951", "kernel_id": "91016"}, {"ref": "invinciblejha/xgboost", "kernel_id": "93231"}, {"ref": "soates/redhat", "kernel_id": "85085"}, {"ref": "soates/notebook-b34ed43bcab59dae2591", "kernel_id": "85089"}, {"ref": "soates/notebook-a5009f4f005d3407d885", "kernel_id": "85095"}, {"ref": "idrcee/notebook88accf258f", "kernel_id": "90956"}, {"ref": "sbalajis/exploring-the-redhat-data", "kernel_id": "88813"}, {"ref": "seylom/notebook0b45ecaec4", "kernel_id": "93866"}, {"ref": "amazingbob/notebook3eadb2cf06", "kernel_id": "98325"}, {"ref": "amazingbob/notebook-a88990ef8cbf42a230e5", "kernel_id": "85087"}, {"ref": "amazingbob/naive-bayes-categorical-feature-only", "kernel_id": "85088"}, {"ref": "datacanary/deconfusion2", "kernel_id": "85817"}, {"ref": "cashfeg/use-group-1-only-to-get-0-963486-on-lb", "kernel_id": "87004"}, {"ref": "flashnik/mod2908kaggleag", "kernel_id": "92914"}, {"ref": "flashnik/submit-1712", "kernel_id": "96058"}, {"ref": "vikash/notebook11d3f7233d", "kernel_id": "91094"}, {"ref": "frantap/time-travel-eda", "kernel_id": "94157"}, {"ref": "informationminer/notebook0232457a33", "kernel_id": "92791"}, {"ref": "alexanbl/notebook7e8db2fa30", "kernel_id": "90167"}, {"ref": "thakurrajanand/some-testing-1", "kernel_id": "86097"}, {"ref": "darshanms1991/notebookedea41af4a", "kernel_id": "85891"}, {"ref": "darshanms1991/notebook1d1a05b618", "kernel_id": "85892"}, {"ref": "darshanms1991/notebook7284683bb5", "kernel_id": "85893"}, {"ref": "darshanms1991/msd-notebook-1", "kernel_id": "95831"}, {"ref": "darshanms1991/notebooka5a4ae6018", "kernel_id": "95842"}, {"ref": "jajeffries/redhat", "kernel_id": "88514"}, {"ref": "anirbanlahiri/notebook7e3f1251a7", "kernel_id": "89536"}, {"ref": "majhra/xredboost", "kernel_id": "85511"}, {"ref": "ankitsdhingra/notebook8c3396e3f6", "kernel_id": "90223"}, {"ref": "birolkuyumcu/notebookcb55ef1f79", "kernel_id": "96468"}, {"ref": "surjya/time-travel-eda", "kernel_id": "93806"}, {"ref": "valadi/raddar-xgb-people-ids-cross-validation", "kernel_id": "98125"}, {"ref": "valadi/exploratory-data-analysis", "kernel_id": "94055"}, {"ref": "valadi/sparse-redhat-xgb-lb0-982127-jaya", "kernel_id": "91025"}, {"ref": "valadi/lal-top100-jaya", "kernel_id": "91723"}, {"ref": "valadi/0-98-xgboost-on-sparse-matrix-jay", "kernel_id": "86270"}, {"ref": "vykhand/some-redhat-exploration", "kernel_id": "95331"}, {"ref": "mohamedali/what-s-in-there", "kernel_id": "85207"}, {"ref": "makoamena/boost-the-red", "kernel_id": "97007"}, {"ref": "parthibangowthaman/test-r", "kernel_id": "98181"}, {"ref": "parthibangowthaman/lal-topi1", "kernel_id": "91563"}, {"ref": "parthibangowthaman/lal-topi2", "kernel_id": "91566"}, {"ref": "parthibangowthaman/lal-topi", "kernel_id": "91559"}, {"ref": "afrozhussain/getting-started-with-kernels", "kernel_id": "95553"}, {"ref": "goelvj/notebook646b91b239", "kernel_id": "85694"}, {"ref": "goelvj/notebook5a46bae642", "kernel_id": "94785"}, {"ref": "bharathirajamstat/time-travel-eda", "kernel_id": "87516"}, {"ref": "rockstar08/time-travel-eda", "kernel_id": "91850"}, {"ref": "jasontam/notebookee1809ff9d", "kernel_id": "86355"}, {"ref": "jasontam/notebook08ee1c948f", "kernel_id": "86356"}, {"ref": "jasontam/notebook49d4a554b2", "kernel_id": "86357"}, {"ref": "company/lal-topi", "kernel_id": "98322"}, {"ref": "loisso/lb-0-987-group-1-and-date-trick", "kernel_id": "87907"}, {"ref": "anujkh/basic", "kernel_id": "92181"}, {"ref": "kailex/leave-one-out-encoding-in-r", "kernel_id": "89113"}, {"ref": "pythron/lal-topi1", "kernel_id": "91652"}, {"ref": "lgrzybowski/notebook9ed1bc5b2f", "kernel_id": "85738"}, {"ref": "uday1889/single-unified-table-0-94-sklearn", "kernel_id": "85191"}, {"ref": "wangtianyi/13092016-submit-1005a", "kernel_id": "96808"}, {"ref": "savioz/notebook-11169d776fa5b441bebc", "kernel_id": "85617"}, {"ref": "savioz/notebook-e49029cb93309864499f", "kernel_id": "85618"}, {"ref": "savioz/single-unified-table-0-94-sklearn", "kernel_id": "85615"}, {"ref": "johnkiran/notebook5ec0d0d4b4", "kernel_id": "90721"}, {"ref": "abhinav2710/notebooke0f3dd7d32", "kernel_id": "89343"}, {"ref": "whitebox/notebook10d548a565", "kernel_id": "91459"}, {"ref": "shgidi/notebookb39f53a317", "kernel_id": "87736"}, {"ref": "riteshsinha/lal-topi", "kernel_id": "94041"}, {"ref": "pramodatre/notebook076fe1feaa", "kernel_id": "87732"}, {"ref": "dieepbapat/r-starter-around-0-97-auc", "kernel_id": "85881"}, {"ref": "abualabed/simple-exploration-and-clean", "kernel_id": "86730"}, {"ref": "datenkieker/sparse-redhat-xgb-1", "kernel_id": "86068"}, {"ref": "datenkieker/xredboost-1712", "kernel_id": "85211"}, {"ref": "datenkieker/submit-1712", "kernel_id": "95960"}, {"ref": "kaysuh/notebookb873d12e3b", "kernel_id": "86925"}, {"ref": "kaysuh/data-munging-red-hat", "kernel_id": "86931"}, {"ref": "kaysuh/notebook0d094b4bf2", "kernel_id": "86932"}, {"ref": "kaysuh/notebooke2108760c9", "kernel_id": "86934"}, {"ref": "kaysuh/data-munging", "kernel_id": "86921"}, {"ref": "kaysuh/notebookd5eb0e1066", "kernel_id": "87187"}, {"ref": "kaysuh/notebookb806ed6f19", "kernel_id": "87152"}, {"ref": "kaysuh/notebook71e190d1c8", "kernel_id": "87155"}, {"ref": "kaysuh/notebook59b11a580f", "kernel_id": "87105"}, {"ref": "kaysuh/notebookb36ae1c409", "kernel_id": "87107"}, {"ref": "kaysuh/notebook4c09a8456a", "kernel_id": "87924"}, {"ref": "kaysuh/notebookd842f6dff8", "kernel_id": "87925"}, {"ref": "kaysuh/notebooka3186e3ceb", "kernel_id": "87446"}, {"ref": "kaysuh/notebook39483d80aa", "kernel_id": "87499"}, {"ref": "kaysuh/notebook786e8b191b", "kernel_id": "87571"}, {"ref": "kaysuh/notebookcc48b73f1b", "kernel_id": "87236"}, {"ref": "kaysuh/notebookfc08f64a8c", "kernel_id": "88858"}, {"ref": "kaysuh/gridsearch-and-pipeline", "kernel_id": "88859"}, {"ref": "kaysuh/fork-of-gridsearch-and-pipeline", "kernel_id": "88861"}, {"ref": "kaysuh/notebook57143f3d15", "kernel_id": "88698"}, {"ref": "kaysuh/notebook500ab60260", "kernel_id": "88276"}, {"ref": "kaysuh/notebook55c653c11c", "kernel_id": "88406"}, {"ref": "robertoneil/keras-benchmark", "kernel_id": "94282"}, {"ref": "robertoneil/0-98-xgboost-on-sparse-matrix", "kernel_id": "85972"}, {"ref": "robertoneil/notebook-b9f6c727c74cebb9eeb2", "kernel_id": "85435"}, {"ref": "speculation/cat-dev-random-solution-csv", "kernel_id": "87466"}, {"ref": "avishek/notebook7262e29397", "kernel_id": "86584"}, {"ref": "avishek/notebookd4de1b32bc", "kernel_id": "86658"}, {"ref": "avishek/all-07082016-date-feats-v1", "kernel_id": "86679"}, {"ref": "avishek/06092016-submit-6", "kernel_id": "94591"}, {"ref": "avishek/time-travel-eda-111", "kernel_id": "94715"}, {"ref": "avishek/06092016-submit-6-v3", "kernel_id": "94646"}, {"ref": "avishek/notebookec45344629", "kernel_id": "88302"}, {"ref": "avishek/14092016-submit-1005", "kernel_id": "96643"}, {"ref": "j0shua/notebook3ef12e8090", "kernel_id": "99652"}, {"ref": "j0shua/redhat-hack-in-plain-english", "kernel_id": "88513"}, {"ref": "j0shua/notebook6818373c91", "kernel_id": "94454"}, {"ref": "imannekooeimehr/notebookcc154c7f5a", "kernel_id": "88617"}, {"ref": "imannekooeimehr/handling-categorical-variables", "kernel_id": "88618"}, {"ref": "rockingthunder17/notebookc1a9a24a49", "kernel_id": "94369"}, {"ref": "harjeet/notebookdf2c5b51b6", "kernel_id": "94421"}, {"ref": "harjeet/notebook7eef2b28ca", "kernel_id": "94326"}, {"ref": "jayasimha/notebookdcddbfdc55", "kernel_id": "88952"}, {"ref": "gooron/generalized-linear-mixed-model", "kernel_id": "89300"}, {"ref": "gooron/power-divergence-to-find-parameters", "kernel_id": "90550"}, {"ref": "gooron/data-preparation-for-performing-xgboost-model", "kernel_id": "91372"}, {"ref": "gooron/time-travel-eda", "kernel_id": "87976"}, {"ref": "sakares/notebook7729b71f98", "kernel_id": "86154"}, {"ref": "jonathanscanlan/notebook91e656aa40", "kernel_id": "88661"}, {"ref": "briantcs/r-starting-scripts", "kernel_id": "85530"}, {"ref": "taiyangdixia/notebook6db284ccd4", "kernel_id": "88204"}, {"ref": "antimage/notebook92d477c789", "kernel_id": "89978"}, {"ref": "antimage/sylar-test", "kernel_id": "89979"}, {"ref": "antimage/notebook1aa5fcf9b7", "kernel_id": "90275"}, {"ref": "antimage/notebook0c44d3a205", "kernel_id": "90300"}, {"ref": "puravaggarwal/firstattempt", "kernel_id": "86510"}, {"ref": "songsong/notebook02ab95dcb3", "kernel_id": "90189"}, {"ref": "songsong/notebook15520d2ede", "kernel_id": "90165"}, {"ref": "songsong/notebook208ac41fb5", "kernel_id": "91218"}, {"ref": "david101/exploratory-analysis", "kernel_id": "91308"}, {"ref": "jwegas/single-unified-table-0-94-sklearn", "kernel_id": "85525"}, {"ref": "jwegas/data-exploration", "kernel_id": "85126"}, {"ref": "jwegas/notebookd08806aa5e", "kernel_id": "86369"}, {"ref": "jwegas/notebook5fb800ffa4", "kernel_id": "86370"}, {"ref": "elenacuoco/redhat-using-pyspark", "kernel_id": "93389"}, {"ref": "outliar/notebook327b2e92f9", "kernel_id": "98347"}, {"ref": "outliar/lal-topi", "kernel_id": "94420"}, {"ref": "outliar/lal-topi-0-2-0-1", "kernel_id": "94345"}, {"ref": "sparktsao/notebook8dc127bd12", "kernel_id": "96184"}, {"ref": "ganeshan/notebook68b4006599", "kernel_id": "87165"}, {"ref": "simbehl/notebook0a81047045", "kernel_id": "103684"}, {"ref": "mesdsingh/time-travel-eda", "kernel_id": "86840"}, {"ref": "elzurdo/exploratory", "kernel_id": "89655"}, {"ref": "mohdatir/xredboost", "kernel_id": "85230"}, {"ref": "aditya963/notebook18cee29a90", "kernel_id": "96637"}, {"ref": "ricgama/notebook99262bc0c5", "kernel_id": "91650"}, {"ref": "baoerpoo/predicting-red-hat-business-value", "kernel_id": "91099"}, {"ref": "manojsingh/xredboost", "kernel_id": "141311"}, {"ref": "kishoreb4/lb-0-987-group-1-and-date-trick", "kernel_id": "87912"}, {"ref": "przemekd/notebook35d6c81e87", "kernel_id": "91397"}, {"ref": "ktrueda/fork-of-20160811", "kernel_id": "87875"}, {"ref": "ktrueda/fork-of-20160811-9ea3cf48", "kernel_id": "87876"}, {"ref": "ktrueda/notebook32c1856799", "kernel_id": "87872"}, {"ref": "airalcorn2/notebook-d72d4ca8d751f61dc187", "kernel_id": "85336"}, {"ref": "sushize/xgb-0-9825", "kernel_id": "88093"}, {"ref": "sushize/xgb-0-9815", "kernel_id": "88030"}, {"ref": "sushize/r-starter-around-0-98-auc", "kernel_id": "87959"}, {"ref": "sushize/redhatboost", "kernel_id": "87966"}, {"ref": "sushize/lr-0-978744", "kernel_id": "87652"}, {"ref": "sushize/date-ssz01", "kernel_id": "90227"}, {"ref": "sushize/rf-0-597-try", "kernel_id": "90192"}, {"ref": "sushize/sparse-redhat-xgb-lb0-982127", "kernel_id": "88879"}, {"ref": "sushize/ssz-try", "kernel_id": "88735"}, {"ref": "sushize/lr-0-979401-lb", "kernel_id": "88739"}, {"ref": "sushize/xgb-pois", "kernel_id": "88407"}, {"ref": "sushize/xgb-rank", "kernel_id": "88408"}, {"ref": "sushize/models-ssz", "kernel_id": "88531"}, {"ref": "sushize/xredboost-zfturbo", "kernel_id": "95307"}, {"ref": "potterxu/redhat-predict", "kernel_id": "86155"}, {"ref": "potterxu/single-unified-table-0-94-sklearn", "kernel_id": "85183"}, {"ref": "redpine/time-travel-eda", "kernel_id": "87806"}, {"ref": "kartikr/notebook699a64aeed", "kernel_id": "86540"}, {"ref": "yassinealouini/hyperopt-the-xgboost-model", "kernel_id": "90622"}, {"ref": "yassinealouini/features-processing", "kernel_id": "90498"}, {"ref": "yassinealouini/red-hat-data-exploration", "kernel_id": "90327"}, {"ref": "jensonjoy/notebook7ef522ef4b", "kernel_id": "89610"}, {"ref": "jensonjoy/notebookda0d79ab4d", "kernel_id": "89412"}, {"ref": "jensonjoy/red-hat-sample-code", "kernel_id": "89418"}, {"ref": "jensonjoy/notebook8019df79eb", "kernel_id": "89419"}, {"ref": "jensonjoy/redhat-hack-in-plain-english-eda", "kernel_id": "89422"}, {"ref": "madraziw/notebookf949e3d638", "kernel_id": "93369"}, {"ref": "hskksk/13092016-submit-1005", "kernel_id": "96876"}, {"ref": "hskksk/13092016-submit-1005-validation", "kernel_id": "96898"}, {"ref": "hskksk/submit-79", "kernel_id": "95920"}, {"ref": "hskksk/activity-cluster", "kernel_id": "95977"}, {"ref": "hskksk/people-cluster", "kernel_id": "95959"}, {"ref": "hskksk/people-cluster-size-25", "kernel_id": "98193"}, {"ref": "hskksk/notebook4c8e8ba0fc", "kernel_id": "93120"}, {"ref": "amitchoudhary/submit-v1", "kernel_id": "96796"}, {"ref": "chschroeder/notebook708a2e6501", "kernel_id": "86519"}, {"ref": "chschroeder/notebook9937ed335b", "kernel_id": "86512"}, {"ref": "jeffhebert/tip-your-redhat-to-r-and-xgboost", "kernel_id": "85484"}, {"ref": "dixitgaurav/lal-topi1935", "kernel_id": "97910"}, {"ref": "kbhola/redhat", "kernel_id": "86092"}, {"ref": "ahmedg/notebook4ae707f502", "kernel_id": "92429"}, {"ref": "ahmedg/xredboost", "kernel_id": "92435"}, {"ref": "ahmedg/notebookbba7671376", "kernel_id": "92412"}, {"ref": "yansoftware/submit-1712", "kernel_id": "96166"}, {"ref": "ashishsehgal/notebook5c4acdb345", "kernel_id": "91033"}, {"ref": "ayocca/data-preparation-for-performing-xgboost-model", "kernel_id": "91211"}, {"ref": "weiyii/first", "kernel_id": "93751"}, {"ref": "alshahrani/notebook939391689c", "kernel_id": "95587"}, {"ref": "krishnateja614/notebook-769bdccecbd7a8b606cf", "kernel_id": "85047"}, {"ref": "krishnateja614/benchmark", "kernel_id": "85050"}, {"ref": "yuqingxue/lal-topi-0-2-0-1", "kernel_id": "94248"}, {"ref": "yuqingxue/lal-topi1935", "kernel_id": "97323"}, {"ref": "sankar1535/main-copy1", "kernel_id": "85629"}, {"ref": "sankar1535/0-98-xgboost-on-sparse-matrix", "kernel_id": "86222"}, {"ref": "sankar1535/ooooooo", "kernel_id": "86251"}, {"ref": "chengjiun/for-an-early-position-of-the-script-war", "kernel_id": "86838"}, {"ref": "poiss0nriot/grey-wolf-0-982", "kernel_id": "86575"}, {"ref": "poiss0nriot/lr-0-978744", "kernel_id": "87701"}, {"ref": "poiss0nriot/fork-of-notebook42d4b808a6-14fa1c25", "kernel_id": "92757"}, {"ref": "poiss0nriot/fork-of-notebook42d4b808a6", "kernel_id": "92734"}, {"ref": "poiss0nriot/mod2908kaggleag", "kernel_id": "92353"}, {"ref": "poiss0nriot/0-909-36", "kernel_id": "92212"}, {"ref": "jasonwang592/test-script", "kernel_id": "93841"}, {"ref": "web8341/notebook89f77d1811", "kernel_id": "85807"}, {"ref": "pambos82/notebookd810d4c64d", "kernel_id": "88579"}, {"ref": "tippytom/predictingredhat-lewis", "kernel_id": "87442"}, {"ref": "michaelerasmus/time-travel-eda", "kernel_id": "89635"}, {"ref": "michaelerasmus/notebook95b2399fb2", "kernel_id": "89653"}, {"ref": "jameszhou92/notebook93b48e8f60", "kernel_id": "95126"}, {"ref": "jameszhou92/notebook4ec8397857", "kernel_id": "95133"}, {"ref": "shan4224/lal-topi", "kernel_id": "97534"}, {"ref": "vtatulin/notebook-572a3e4c9934208de1e8", "kernel_id": "85293"}, {"ref": "vtatulin/notebook-bf418e3f13efab470e0c", "kernel_id": "85294"}, {"ref": "iampritishpatil/explore-people-activity-count", "kernel_id": "85567"}, {"ref": "iampritishpatil/notebook-fb3426d9f0d14ba58159", "kernel_id": "85569"}, {"ref": "iampritishpatil/somenote", "kernel_id": "85570"}, {"ref": "iampritishpatil/xredboost", "kernel_id": "85363"}, {"ref": "anantgupta/notebook748a62d0e6", "kernel_id": "96204"}, {"ref": "anantgupta/python-data-analysis", "kernel_id": "96280"}, {"ref": "anantgupta/feature-selection-using-python", "kernel_id": "85646"}, {"ref": "ozagordi/exploit-leak-with-dplyr", "kernel_id": "92984"}, {"ref": "cartographic/r-starter-around-0-98-auc", "kernel_id": "85247"}, {"ref": "cartographic/featurehashing-essentials", "kernel_id": "86606"}, {"ref": "ouranos/lal-topi", "kernel_id": "91515"}, {"ref": "ouranos/ooooooo", "kernel_id": "86465"}, {"ref": "ruslans/time-travel-eda", "kernel_id": "102382"}, {"ref": "hroark/xredboost", "kernel_id": "85122"}, {"ref": "teracrator/r-starter-v2", "kernel_id": "91858"}, {"ref": "ggautama/notebook4abcd4350a", "kernel_id": "95380"}, {"ref": "milin15/notebookd874ec16eb", "kernel_id": "95685"}, {"ref": "ynreaugk/beat-the-benchmark", "kernel_id": "85081"}, {"ref": "jtlowery/test-r", "kernel_id": "98079"}, {"ref": "praveen24kumar/notebookf5d1027e72", "kernel_id": "96201"}, {"ref": "gregho/notebooke020ba91f3", "kernel_id": "88804"}, {"ref": "justanotherbrain/notebook63f08c6fe6", "kernel_id": "93680"}, {"ref": "bguberfain/notebook-a388ef7dd76514749c63", "kernel_id": "85079"}, {"ref": "bguberfain/notebook-8d79ccea9eb6bcaae651", "kernel_id": "85354"}, {"ref": "vthummadi/notebooke0247ccda2", "kernel_id": "91188"}, {"ref": "uthalcalthing/notebookbc2c4de5d3", "kernel_id": "92745"}, {"ref": "naushadkarim/notebook-56ff43f5fcd015220552", "kernel_id": "85554"}, {"ref": "marcinchilik/time-travel-eda-8d1308c0", "kernel_id": "88261"}, {"ref": "marcinchilik/mainkernel", "kernel_id": "88802"}, {"ref": "marcinchilik/testroc", "kernel_id": "88841"}, {"ref": "marcinchilik/neuralnetwork", "kernel_id": "88847"}, {"ref": "marcinchilik/testtrain", "kernel_id": "88815"}, {"ref": "farahfaize/notebook81291dd290", "kernel_id": "89669"}, {"ref": "thomasseleck/notebookea920f7210", "kernel_id": "89374"}, {"ref": "scirpus/gp-plus-santander-style-heuristics", "kernel_id": "91105"}, {"ref": "scirpus/power-divergence-to-find-parameters", "kernel_id": "90504"}, {"ref": "scirpus/naive-bayes", "kernel_id": "92348"}, {"ref": "scirpus/gp-lb-0-984930", "kernel_id": "96502"}, {"ref": "scirpus/small-gp", "kernel_id": "97841"}, {"ref": "scirpus/lr-0-978744", "kernel_id": "86499"}, {"ref": "iron0012/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "96357"}, {"ref": "jennysy2002/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "96282"}, {"ref": "keskarnitish/notebook3b6fc3034c", "kernel_id": "95054"}, {"ref": "keskarnitish/first-pass", "kernel_id": "95055"}, {"ref": "speedoheck/pranayredhat", "kernel_id": "93356"}, {"ref": "hulkbulk/r-starter-around-0-97-auc", "kernel_id": "85870"}, {"ref": "hulkbulk/xredboost", "kernel_id": "85181"}, {"ref": "letfoolsdie/beat-the-benchmark-0-54940", "kernel_id": "85049"}, {"ref": "juleswang/group-1-trick", "kernel_id": "94331"}, {"ref": "yinghawl/exploit-leak-with-dplyr", "kernel_id": "93271"}, {"ref": "nikhilhegde9/submit-5", "kernel_id": "93093"}, {"ref": "nikhilhegde9/submit-6", "kernel_id": "94520"}, {"ref": "nikhilhegde9/round1", "kernel_id": "96944"}, {"ref": "nikhilhegde9/final", "kernel_id": "98221"}, {"ref": "nikhilhegde9/code-run", "kernel_id": "97455"}, {"ref": "k11245/notebookd9fe67529b", "kernel_id": "92427"}, {"ref": "k11245/13092016-submit-1005", "kernel_id": "96680"}, {"ref": "k11245/lal-topi", "kernel_id": "98288"}, {"ref": "reshsekar15/notebook6612dec3dd", "kernel_id": "95847"}, {"ref": "andirey/starter-script", "kernel_id": "93794"}, {"ref": "andirey/starter", "kernel_id": "93795"}, {"ref": "nolantj/notebookc823d9b474", "kernel_id": "90787"}, {"ref": "mahatmus/notebook095b9b4bce", "kernel_id": "91080"}, {"ref": "lmgshalini/notebookf0a41ef362", "kernel_id": "252299"}, {"ref": "nickel/beat-the-benchmark-88-with-char-38", "kernel_id": "85725"}, {"ref": "ryutek/lb-0-987-group-1-and-date-trick", "kernel_id": "95878"}, {"ref": "ravidatascience/ravi-analyze-redhat-business", "kernel_id": "93931"}, {"ref": "ravidatascience/ravi-analysis-redhat-business", "kernel_id": "93934"}, {"ref": "ravidatascience/notebook44f7872b61", "kernel_id": "91436"}, {"ref": "cttsai/keras-benchmark-struct-tweak-date-and-label-cv", "kernel_id": "97089"}, {"ref": "cttsai/keras-feature-process", "kernel_id": "98076"}, {"ref": "muneeb2405/redhat-model", "kernel_id": "95291"}, {"ref": "hmboxwala/random-forest-by-h2o-0-96-on-lb", "kernel_id": "86505"}, {"ref": "irmo322/notebookd8a42281ba", "kernel_id": "89346"}, {"ref": "ashishdutt/tablescript", "kernel_id": "94985"}, {"ref": "jianyuan/test-data", "kernel_id": "85977"}, {"ref": "jianyuan/notebook31520bdd89", "kernel_id": "85961"}, {"ref": "jianyuan/notebook146560ed4c", "kernel_id": "85962"}, {"ref": "jianyuan/test-run", "kernel_id": "85963"}, {"ref": "artimous/sparsematrix-char-17", "kernel_id": "94948"}, {"ref": "artimous/parameter-change", "kernel_id": "94944"}, {"ref": "artimous/reducing-max-depth", "kernel_id": "95904"}, {"ref": "artimous/parameter-ximing", "kernel_id": "95812"}, {"ref": "artimous/sub-11", "kernel_id": "96096"}, {"ref": "artimous/just-some-parameter-tuning", "kernel_id": "96768"}, {"ref": "interesting/notebook-9753bcc9007662629401", "kernel_id": "85056"}, {"ref": "amitvadiraj/0-98-xgboost-on-sparse-matrix", "kernel_id": "85951"}, {"ref": "loic74/notebook-3a1ad978087ea9743906", "kernel_id": "85297"}, {"ref": "amanzotti/notebook56bb66a8a1", "kernel_id": "85966"}, {"ref": "liangzhou/notebook21440fbb2f", "kernel_id": "91718"}, {"ref": "garywang/notebook18aa25c13b", "kernel_id": "90299"}, {"ref": "garywang/notebook59eb47b5e9", "kernel_id": "90168"}, {"ref": "vivekkmurthy/vivek", "kernel_id": "92928"}, {"ref": "abhishekdatascience/notebook4ede3cc2f0", "kernel_id": "85930"}, {"ref": "abhishekdatascience/trying2", "kernel_id": "85932"}, {"ref": "abhishekdatascience/notebookfe61c412de", "kernel_id": "85926"}, {"ref": "abhishekdatascience/fork-of-test-1", "kernel_id": "85927"}, {"ref": "abhishekdatascience/test-1", "kernel_id": "85920"}, {"ref": "zhuangye/test-package", "kernel_id": "94238"}, {"ref": "zhuangye/notebook45cde781f4", "kernel_id": "93989"}, {"ref": "zhuangye/lb-0-987-group-1-and-date-trick", "kernel_id": "93995"}, {"ref": "zhuangye/lal-topi-0-2-0-1", "kernel_id": "94535"}, {"ref": "amitweil/notebook0a918139b7", "kernel_id": "121175"}, {"ref": "cheerchen/notebookd091875cbb", "kernel_id": "91785"}, {"ref": "rocklee/notebook441e4334df", "kernel_id": "89709"}, {"ref": "harshratde/notebooka87e6f6ee1", "kernel_id": "252213"}, {"ref": "zizano/notebook8b5ebd5d68", "kernel_id": "91653"}, {"ref": "jaredchung/testing-r-with-xgboost", "kernel_id": "86812"}, {"ref": "jaredchung/notebookd39e455a27", "kernel_id": "86813"}, {"ref": "saurograndi/notebook0bd29d3476", "kernel_id": "97144"}, {"ref": "sansri/notebookba6614c400", "kernel_id": "95142"}, {"ref": "sansri/tip-your-redhat-to-r-and-xgboost", "kernel_id": "95143"}, {"ref": "sarath0210/notebook8954d89538", "kernel_id": "85711"}, {"ref": "medhomegha/notebook-8b03624a1c1590144c5c", "kernel_id": "85179"}, {"ref": "anshumaan/notebookd31f540187", "kernel_id": "88237"}, {"ref": "anshumaan/predredhatbusval", "kernel_id": "88304"}, {"ref": "shankarpandala/0-98-xgboost-on-sparse-matrix", "kernel_id": "85993"}, {"ref": "kretes/notebook-21c795333e09aa29ad32", "kernel_id": "85386"}, {"ref": "kretes/notebook-6011a0a005c6ce7c8014", "kernel_id": "85387"}, {"ref": "kretes/eda-duplicates-and-train-vs-test-distributions", "kernel_id": "86749"}, {"ref": "rohitbora/notebook0558a33bab", "kernel_id": "90091"}, {"ref": "rohitbora/time-travel-eda", "kernel_id": "90001"}, {"ref": "datascininja/notebook6e8925e887", "kernel_id": "87431"}, {"ref": "vrastonero/notebookb531f6494a", "kernel_id": "86950"}, {"ref": "vrastonero/notebooke759d17d85", "kernel_id": "86955"}, {"ref": "herilalaina/notebook4e5df07b4c", "kernel_id": "93204"}, {"ref": "shifanmao/beat-the-benchmark-0-54940", "kernel_id": "85125"}, {"ref": "harishneela/testt", "kernel_id": "93844"}, {"ref": "olivermeyfarth/notebook95a8d8b702", "kernel_id": "87572"}, {"ref": "unicorn23/redhat-data-analysis-part1", "kernel_id": "86210"}, {"ref": "thinkdata/notebookc6676bae91", "kernel_id": "86144"}, {"ref": "ijkilchenko/lal-topi", "kernel_id": "91476"}, {"ref": "ijkilchenko/python-ver-of-group-1-and-date-trick", "kernel_id": "89409"}, {"ref": "assa2as/notebook44bfac53e7", "kernel_id": "97427"}, {"ref": "karma86/tensorflow", "kernel_id": "85037"}, {"ref": "syednasar/notebookcd40a63b71", "kernel_id": "88779"}, {"ref": "syednasar/z-archived-redhat-eda", "kernel_id": "88310"}, {"ref": "syednasar/notebook1f643490d1", "kernel_id": "90224"}, {"ref": "kkeshavaprasad/redhat-eda", "kernel_id": "87845"}, {"ref": "quietrags/notebook05ea7333d7", "kernel_id": "86456"}, {"ref": "statchen/single-unified-table-0-94-sklearn", "kernel_id": "95546"}, {"ref": "achtungbaby/notebook39d9d7e2d8", "kernel_id": "94058"}, {"ref": "rsalaschile/lal-topi-0-2-0-1", "kernel_id": "94407"}, {"ref": "chanchan/notebook05b869a008", "kernel_id": "89865"}, {"ref": "shubh24/generalized-linear-mixed-model", "kernel_id": "92337"}, {"ref": "chechir/submit-blabla-dates", "kernel_id": "96105"}, {"ref": "omarsultan/single-unified-table-0-94-sklearn", "kernel_id": "91201"}, {"ref": "bonnieli/notebook229913691c", "kernel_id": "115726"}, {"ref": "emeller/first-exploratory", "kernel_id": "91667"}, {"ref": "jsh127/0-909-36", "kernel_id": "91741"}, {"ref": "wliping/notebooke28b012aee", "kernel_id": "94974"}, {"ref": "kabsky/fork-of-data-preprocessing-baa370c7", "kernel_id": "139827"}, {"ref": "kabsky/data-preprocessing", "kernel_id": "89334"}, {"ref": "kabsky/fork-of-data-preprocessing", "kernel_id": "89641"}, {"ref": "alicelane/redhat", "kernel_id": "85836"}, {"ref": "shawnheide/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "96653"}, {"ref": "cfretter/notebooka411edd2f1", "kernel_id": "86897"}, {"ref": "miguel2523/notebookc2525dff18", "kernel_id": "94792"}, {"ref": "arthurmarkus/notebook16a5877d04", "kernel_id": "86506"}, {"ref": "chsovankrishna/notebookddadead66c", "kernel_id": "95199"}, {"ref": "chsovankrishna/notebookd8b5f7d05d", "kernel_id": "95160"}, {"ref": "chsovankrishna/redhat-prediction-v-0", "kernel_id": "93942"}, {"ref": "behrang/submit-1712-2", "kernel_id": "96324"}, {"ref": "prakashanand/notebook0ebf2b17fa", "kernel_id": "91944"}, {"ref": "abhilashawasthi/submit-79", "kernel_id": "95762"}, {"ref": "abhilashawasthi/raddar-goes-ham-with-leak", "kernel_id": "94418"}, {"ref": "tonyabracadabra/notebookc42c6ca28e", "kernel_id": "89428"}, {"ref": "hyunyouchoi/notebooke67cb7ac50", "kernel_id": "92011"}, {"ref": "deenmohan/notebookf93a22d9c2", "kernel_id": "88602"}, {"ref": "evanzhu2013/time-travel-eda", "kernel_id": "93740"}, {"ref": "evanzhu2013/time-travel-eda-930c9ce4", "kernel_id": "93745"}, {"ref": "jtrotman/generate-pixel-plots-of-outcome-by-group-day", "kernel_id": "98338"}, {"ref": "zerostack/notebook917f1a6672", "kernel_id": "88672"}, {"ref": "mbhatt1321/xgboost-improve", "kernel_id": "87765"}, {"ref": "cagbal/random-forest-classifier", "kernel_id": "91435"}, {"ref": "kiminaka/time-travel-eda", "kernel_id": "89606"}, {"ref": "vivekverma239/redhat-try", "kernel_id": "88928"}, {"ref": "vivekverma239/redhat-vivek", "kernel_id": "94059"}, {"ref": "marziye/redhat", "kernel_id": "89439"}, {"ref": "le3sym44/notebookcfba024425", "kernel_id": "93362"}, {"ref": "aamir121a/test-xg", "kernel_id": "94049"}, {"ref": "aamir121a/notebook548b96ee99", "kernel_id": "94061"}, {"ref": "aamir121a/xgboost-with-leak", "kernel_id": "94864"}, {"ref": "ayushthakur/notebook7f2fdf3fad", "kernel_id": "92382"}, {"ref": "biembbiessola/time-travel-eda", "kernel_id": "96063"}, {"ref": "mcclouda2/notebook0de7259a9d", "kernel_id": "94539"}, {"ref": "shivamm/notebook155b038da9", "kernel_id": "90714"}, {"ref": "shivamm/time-travel-eda", "kernel_id": "86747"}, {"ref": "ashishluthara/my-python-redhat", "kernel_id": "90155"}, {"ref": "ashishluthara/raddar-goes-ham-with-leak", "kernel_id": "90806"}, {"ref": "tinaheiligers/notebookcf343accba", "kernel_id": "92042"}, {"ref": "abriosi/notebook8bdd1e5fd4", "kernel_id": "93676"}, {"ref": "abriosi/notebook33f54300ff", "kernel_id": "91693"}, {"ref": "abriosi/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "91695"}, {"ref": "yasserabbass/notebook366c08671e", "kernel_id": "97177"}, {"ref": "andrewedwards/almostimplemented-redhat", "kernel_id": "87077"}, {"ref": "andrewedwards/explore-redhat-problem-with-almostimplemented", "kernel_id": "87086"}, {"ref": "hommayushi3/notebook2261fef531", "kernel_id": "90471"}, {"ref": "crocopie/beat-the-benchmark-0-54940", "kernel_id": "85045"}, {"ref": "donhan/notebook0bb759410e", "kernel_id": "92927"}, {"ref": "xingchenzhuifeng/notebook044883604c", "kernel_id": "92131"}, {"ref": "siyaozheng/modelbuilding", "kernel_id": "88208"}, {"ref": "dimplepatel/time-travel-eda", "kernel_id": "99062"}, {"ref": "johnewz/time-travel-eda", "kernel_id": "91216"}, {"ref": "zveroloff/lal-topi-0-2-0-1", "kernel_id": "94413"}, {"ref": "jfirminger/notebookfcc829039f", "kernel_id": "89966"}, {"ref": "jfirminger/test-notebook-rc", "kernel_id": "90416"}, {"ref": "xanderhorn/notebook227cee2fa9", "kernel_id": "94689"}, {"ref": "caiomsouza/mod2908kaggleag", "kernel_id": "93004"}, {"ref": "gelinator/notebook4f9a580e65", "kernel_id": "89252"}, {"ref": "drorsimon/notebook0b97fbc593", "kernel_id": "88214"}, {"ref": "alexgyl/lb-0-987-group-1-and-date-trick", "kernel_id": "89148"}, {"ref": "zllake/data-exploration", "kernel_id": "86756"}, {"ref": "mouse1231/time-travel-eda", "kernel_id": "121559"}, {"ref": "kaloyannikov/interpolation-randomforest-without-people-csv", "kernel_id": "98135"}, {"ref": "kaloyannikov/notebooke8ade739f1", "kernel_id": "96822"}, {"ref": "kaloyannikov/data-cleaning-and-random-forests-python-2-7", "kernel_id": "96252"}, {"ref": "violinbeats/red-hat-eda", "kernel_id": "93958"}, {"ref": "jals123/notebooke460dd4ea8", "kernel_id": "94416"}, {"ref": "jals123/notebooka6dd1f2c64", "kernel_id": "93060"}, {"ref": "jals123/notebook68901d77b3", "kernel_id": "97302"}, {"ref": "samhashmi/random-forest-for-prediction", "kernel_id": "93210"}, {"ref": "josnancy/time-travel-eda", "kernel_id": "97469"}, {"ref": "iamchanchal/classify-customer-potential-redhat", "kernel_id": "94192"}, {"ref": "iamchanchal/customerpotential-xgboost", "kernel_id": "94726"}, {"ref": "fandang/python-ntbk-1", "kernel_id": "88287"}, {"ref": "fandang/dfscript", "kernel_id": "88290"}, {"ref": "yurrzz/notebook5899d2067d", "kernel_id": "85821"}, {"ref": "indigan/notebook961abc1a53", "kernel_id": "90984"}, {"ref": "xiaoa6435/lb-0-987-group-1-and-date-trick", "kernel_id": "114892"}, {"ref": "vishallakha/lal-topi", "kernel_id": "90311"}, {"ref": "statarb/notebookf053f1de28", "kernel_id": "92646"}, {"ref": "dmi3kno/simple-xgb-benchmark-in-r", "kernel_id": "85303"}, {"ref": "dmi3kno/blended-r-starter", "kernel_id": "85377"}, {"ref": "dmi3kno/sparse-redhat-xgb", "kernel_id": "86032"}, {"ref": "dmi3kno/sparse-redhat-xgb-cv", "kernel_id": "86187"}, {"ref": "dmi3kno/exploring-char-10-and-labels", "kernel_id": "98874"}, {"ref": "dmi3kno/0-98-xgboost-on-sparse-matrix-act-only", "kernel_id": "96426"}, {"ref": "dmi3kno/redhat-hack-in-plain-english-eda", "kernel_id": "88263"}, {"ref": "dmi3kno/raddar-goes-ham-with-leak", "kernel_id": "90807"}, {"ref": "akshaynaik/generalized-linear-mixed-model", "kernel_id": "90305"}, {"ref": "quentinr49/notebook8123a75cbe", "kernel_id": "92385"}, {"ref": "happycube/python-ver-of-group-1-and-date-trick", "kernel_id": "94172"}, {"ref": "jialin/time-travel-eda", "kernel_id": "91906"}, {"ref": "wordsforthewise/raddar-goes-ham-with-leak", "kernel_id": "92097"}, {"ref": "wordsforthewise/keras-benchmark", "kernel_id": "99166"}, {"ref": "aky1994/myredhat", "kernel_id": "85506"}, {"ref": "aky1994/notebook-70563d905a58705ad2c2", "kernel_id": "85507"}, {"ref": "aky1994/data-preparation-for-performing-xgboost-model", "kernel_id": "88522"}, {"ref": "vedgupta/time-travel-eda", "kernel_id": "91597"}, {"ref": "vedgupta/notebookfc31ce0296", "kernel_id": "95997"}, {"ref": "lucaswonderley/initial-look-setting-up-predictive-model", "kernel_id": "99721"}, {"ref": "agavranis/submit-79", "kernel_id": "95826"}, {"ref": "agavranis/mod2908kaggleag", "kernel_id": "92287"}, {"ref": "agavranis/lal-top100", "kernel_id": "91607"}, {"ref": "agavranis/raddar-goes-ham-with-leak", "kernel_id": "90733"}, {"ref": "agavranis/lb-0-987-group-1-and-date-trick", "kernel_id": "89568"}, {"ref": "thedarkl0rd/submit-1713", "kernel_id": "96116"}, {"ref": "thedarkl0rd/notebook1b773bda3f", "kernel_id": "96807"}, {"ref": "thedarkl0rd/oooooo", "kernel_id": "87556"}, {"ref": "thedarkl0rd/notebookcc29822f98", "kernel_id": "87412"}, {"ref": "letoveter/notebookee4754d2e4", "kernel_id": "86935"}, {"ref": "lalthan/raddar-goes-ham-with-leak", "kernel_id": "90537"}, {"ref": "janpreets/exploration", "kernel_id": "90319"}, {"ref": "janpreets/notebookc3413a3e48", "kernel_id": "96526"}, {"ref": "arpit08/test12iiii", "kernel_id": "93312"}, {"ref": "isameer7/notebook272ce25325", "kernel_id": "91847"}, {"ref": "isameer7/notebookaaeb312531", "kernel_id": "91490"}, {"ref": "apapiu/notebook3da4409abb", "kernel_id": "86558"}, {"ref": "apapiu/ooooooo", "kernel_id": "86879"}, {"ref": "apapiu/redhat-eda", "kernel_id": "85743"}, {"ref": "apapiu/r-starter-around-0-95-auc", "kernel_id": "85773"}, {"ref": "beletecheneke/notebook4dc595c1f8", "kernel_id": "90446"}, {"ref": "kuphy98/notebook49ced27d8a", "kernel_id": "86745"}, {"ref": "kuphy98/notebookc9f394eb47", "kernel_id": "90649"}, {"ref": "yiyang186/notebookeb346a18b6", "kernel_id": "98245"}, {"ref": "yiyang186/notebook639ecc5395", "kernel_id": "94308"}, {"ref": "acbarrettomdp/notebook12e460e606", "kernel_id": "100526"}, {"ref": "raddar/0-98-xgboost-on-sparse-matrix", "kernel_id": "85924"}, {"ref": "ajayjadhav/notebook-cf37d00bda38fdf27fe3", "kernel_id": "85221"}, {"ref": "ajayjadhav/notebook-16a1ddddd55237a9ea49", "kernel_id": "85222"}, {"ref": "ajayjadhav/notebook-d417ada09511c3aea754", "kernel_id": "85223"}, {"ref": "brassmonkey381/notebookc0ab02793c", "kernel_id": "94491"}, {"ref": "brassmonkey381/char-38-submission-0-87-lb", "kernel_id": "85102"}, {"ref": "rnavarro/predicting-red-hat-business-value", "kernel_id": "95415"}, {"ref": "qqgeogor/keras-benchmark", "kernel_id": "93517"}, {"ref": "qqgeogor/keras-cnn-based-benchmark", "kernel_id": "96523"}, {"ref": "nunally/first-try", "kernel_id": "85820"}, {"ref": "mohanpb/raddar-0-98-trying-with-gbtree", "kernel_id": "96532"}, {"ref": "vangaa/notebook93836ebeb7", "kernel_id": "85874"}, {"ref": "vangaa/notebook796aa93aca", "kernel_id": "85880"}, {"ref": "vangaa/deep-try-with-keras-auc-0-93025", "kernel_id": "85890"}, {"ref": "martijnbauters/testy", "kernel_id": "90993"}, {"ref": "jibybabu/notebook31731f9700", "kernel_id": "85746"}, {"ref": "jibybabu/notebook203954a42f", "kernel_id": "87958"}, {"ref": "tracyxu2013/notebookfdc99d5f16", "kernel_id": "94794"}, {"ref": "maddynit/ccccccccccccccccccc", "kernel_id": "91335"}, {"ref": "maddynit/vffgvvvvvvv", "kernel_id": "91573"}, {"ref": "maddynit/vffgvvvvvvvv", "kernel_id": "91574"}, {"ref": "maddynit/mmmmmmmmmm", "kernel_id": "90761"}, {"ref": "maddynit/hhhhhhhhhhh", "kernel_id": "97392"}, {"ref": "maddynit/jjjjjjjjjjjjjjjjjj", "kernel_id": "96883"}, {"ref": "maddynit/ddddddd", "kernel_id": "96878"}, {"ref": "maddynit/0-005", "kernel_id": "87829"}, {"ref": "maddynit/0-004", "kernel_id": "87636"}, {"ref": "maddynit/0-001", "kernel_id": "87487"}, {"ref": "breakhearts/test-run", "kernel_id": "96018"}, {"ref": "johnsonwu/notebookf3895919fa", "kernel_id": "87690"}, {"ref": "johnsonwu/notebook4cb9c83b58", "kernel_id": "87691"}, {"ref": "johnsonwu/check-data", "kernel_id": "87692"}, {"ref": "dipayan/redhatter", "kernel_id": "86175"}, {"ref": "tunguz/lr-0-979401-lb", "kernel_id": "87333"}, {"ref": "mounikm/notebook-7bb32dc38ed06926b8f0", "kernel_id": "85441"}, {"ref": "mounikm/notebook6b6fc298cf", "kernel_id": "89371"}, {"ref": "ermochi/notebook7b260e4e4e", "kernel_id": "96012"}, {"ref": "himanshusikaria/0-981-using-xgboost", "kernel_id": "87566"}, {"ref": "himanshusikaria/0-90-using-logic-and-rpart", "kernel_id": "87570"}, {"ref": "andrewdumit/pythonxgb", "kernel_id": "96995"}, {"ref": "rcprasanth/notebooke5bf28785e", "kernel_id": "88600"}, {"ref": "vidarr/notebookb53fd0e80b", "kernel_id": "98082"}, {"ref": "jreber/notebookdd8f973f70", "kernel_id": "229000"}, {"ref": "jreber/redhat", "kernel_id": "229001"}, {"ref": "jreber/test-notebook", "kernel_id": "229002"}, {"ref": "oisinfitz/notebookd4447c693f", "kernel_id": "86180"}, {"ref": "ruben1/red-hat-eda", "kernel_id": "88337"}, {"ref": "isosnovik/xghat", "kernel_id": "89822"}, {"ref": "thiagotouya/notebook63a04c211e", "kernel_id": "88082"}, {"ref": "anvesh2953/customer-classification", "kernel_id": "91138"}, {"ref": "alexeylive/os-version", "kernel_id": "93903"}, {"ref": "xiaobaiml/notebook951b61f778", "kernel_id": "149908"}, {"ref": "shirleyli00/notebook7aee646946", "kernel_id": "89615"}, {"ref": "architgarg1515/notebooke3323e86f8", "kernel_id": "94551"}, {"ref": "headings/notebookdc3a4efdd5", "kernel_id": "85958"}, {"ref": "headings/notebook899923a567", "kernel_id": "85965"}, {"ref": "zonemercy/lb-0-987-group-1-and-date-trick", "kernel_id": "97140"}, {"ref": "zonemercy/notebook3b11ef1b04", "kernel_id": "97191"}, {"ref": "zonemercy/gp-lb-0-984930", "kernel_id": "96855"}, {"ref": "admitry/redhat-hack-in-plain-english-eda", "kernel_id": "90868"}, {"ref": "admitry/notebook8d18d22672", "kernel_id": "90870"}, {"ref": "zhanli/test-redhat", "kernel_id": "96384"}, {"ref": "maximeledantec/notebookc415af421f", "kernel_id": "169226"}, {"ref": "madoliver/time-travel-eda", "kernel_id": "99844"}, {"ref": "selektamk/notebookb80aa7256d", "kernel_id": "89834"}, {"ref": "selektamk/example-visualising-data-with-using-matplotlib", "kernel_id": "90742"}, {"ref": "bckatarzyna/redhatboost", "kernel_id": "87939"}, {"ref": "bckatarzyna/notebook5d8588f368", "kernel_id": "87926"}, {"ref": "bckatarzyna/red-hat", "kernel_id": "87918"}, {"ref": "bckatarzyna/notebook2a65cfd310", "kernel_id": "87921"}, {"ref": "bckatarzyna/notebook630855ab39", "kernel_id": "87913"}, {"ref": "bckatarzyna/notebook4fc81dcfa1", "kernel_id": "87908"}, {"ref": "aman1391/notebook33b533bbd3", "kernel_id": "95667"}, {"ref": "shalabhgupta/redhat-ver1", "kernel_id": "91202"}, {"ref": "shalabhgupta/python-ver-of-group-1-and-date-trick", "kernel_id": "91206"}, {"ref": "abbracione/notebook4ba2398a69", "kernel_id": "89281"}, {"ref": "rsumbaly/notebookec423928f0", "kernel_id": "91375"}, {"ref": "sattvikc/notebook9cad8f90b2", "kernel_id": "91337"}, {"ref": "sattvikc/notebook74c6d58ef3", "kernel_id": "87167"}, {"ref": "strongsquirrel/prediction-based-on-1-feature-0-8276", "kernel_id": "89618"}, {"ref": "roelsmits/notebook6c24fe45b3", "kernel_id": "92773"}, {"ref": "cher001/ssssssss", "kernel_id": "91605"}, {"ref": "notaapple/exploratory-data-analysis", "kernel_id": "93807"}, {"ref": "slimlink3/notebookd482a9f959", "kernel_id": "88989"}, {"ref": "zfturbo/xredboost", "kernel_id": "85057"}, {"ref": "apurveyajnik/single-unified-table-0-94-sklearn", "kernel_id": "96498"}, {"ref": "yananwu/time-travel-eda", "kernel_id": "196759"}, {"ref": "yananwu/people-cluster", "kernel_id": "183368"}, {"ref": "phtimo/single-unified-table-0-94-sklearn", "kernel_id": "89338"}, {"ref": "adatacurioususer/notebook076fe06750", "kernel_id": "98100"}, {"ref": "prangana/time-travel-eda", "kernel_id": "89408"}, {"ref": "prangana/time-travel-eda-8903a098", "kernel_id": "89415"}, {"ref": "aks123/random-forest-by-h2o-0-96-on-lb", "kernel_id": "90793"}, {"ref": "zeugma/notebook7633b6cba3", "kernel_id": "92737"}, {"ref": "xiaorun/notebookfed44e8f78", "kernel_id": "94088"}, {"ref": "enemiakel/data-preparation-for-performing-xgboost-model", "kernel_id": "88218"}, {"ref": "johnnyeades/blank", "kernel_id": "92468"}, {"ref": "zgilfix/r-starter-around-0-98-auc", "kernel_id": "88148"}, {"ref": "amitkumarjaiswal/python-ver-of-group-1-and-date-trick", "kernel_id": "89877"}, {"ref": "jadhavad/notebook4817cb74ba", "kernel_id": "86796"}, {"ref": "apartmentguru/fork-of-notebookc24282e11f", "kernel_id": "85830"}, {"ref": "apartmentguru/boost-the-red", "kernel_id": "85771"}, {"ref": "apartmentguru/notebookc24282e11f", "kernel_id": "85780"}, {"ref": "afournier/notebook809d8331eb", "kernel_id": "87994"}, {"ref": "tkw1110/firstsumb", "kernel_id": "92663"}, {"ref": "weinerjm/red-hat-data-exploration", "kernel_id": "91696"}, {"ref": "captainc/notebook89ee6643b2", "kernel_id": "86530"}, {"ref": "leonji/notebook7c8f4e51bc", "kernel_id": "92002"}, {"ref": "yanggangthu/redhat1", "kernel_id": "97689"}, {"ref": "ishaanv/redhat-eda-and-visualisations", "kernel_id": "94011"}, {"ref": "arjoonn/notebook8d9c54e4e5", "kernel_id": "91614"}, {"ref": "sunglasses1011/xgboost-with-leak", "kernel_id": "94845"}, {"ref": "hbghhy/0-909-36", "kernel_id": "91958"}, {"ref": "mrisdal/notebook2d4c9faaae", "kernel_id": "87153"}, {"ref": "tiffanyrenee/single-unified-table-0-94-sklearn", "kernel_id": "88918"}, {"ref": "ogrellier/folding-per-group-to-mimic-train-test-dataset", "kernel_id": "95513"}, {"ref": "defenestration/mod2908kaggleag", "kernel_id": "92674"}, {"ref": "prateekbhat/time-travel-eda", "kernel_id": "89407"}, {"ref": "ankittalele/notebook7eaa344ac3", "kernel_id": "88236"}, {"ref": "taylo5jm/notebookf4f23e07a2", "kernel_id": "86376"}, {"ref": "icecreamot/notebook4740dc1618", "kernel_id": "94447"}, {"ref": "icecreamot/redhat-v1", "kernel_id": "94452"}, {"ref": "icecreamot/notebook24378fca3c", "kernel_id": "94564"}, {"ref": "icecreamot/notebook5f97b6ad5b", "kernel_id": "94582"}, {"ref": "icecreamot/notebook7583aa2968", "kernel_id": "94763"}, {"ref": "icecreamot/notebook436da607f1", "kernel_id": "97564"}, {"ref": "icecreamot/redhat-v22", "kernel_id": "98263"}, {"ref": "icecreamot/notebook4e93c7cf96", "kernel_id": "96276"}, {"ref": "icecreamot/notebookd50392ed0e", "kernel_id": "95609"}, {"ref": "muxiaoqing/notebook54ba0402f7", "kernel_id": "96198"}, {"ref": "anokas/beat-the-benchmark-0-54940", "kernel_id": "85042"}, {"ref": "anokas/single-unified-table-0-94-sklearn", "kernel_id": "85245"}, {"ref": "anokas/deconfusion", "kernel_id": "85754"}, {"ref": "anokas/notebook2a6ebc2ab6", "kernel_id": "85756"}, {"ref": "anokas/notebook9205bf38ab", "kernel_id": "85757"}, {"ref": "anokas/sparse-redhat-xgb", "kernel_id": "86078"}, {"ref": "anokas/time-travel-eda", "kernel_id": "86284"}, {"ref": "anokas/0-92-in-5-lines", "kernel_id": "87974"}, {"ref": "anokas/predicting-leaderboard-shake", "kernel_id": "88857"}, {"ref": "anokas/redhatxgb", "kernel_id": "90402"}, {"ref": "anokas/redhatxgb-bb505a62", "kernel_id": "90572"}, {"ref": "anokas/blind-cow", "kernel_id": "90632"}, {"ref": "anokas/additional-ham", "kernel_id": "90634"}, {"ref": "jsab16/notebook52082a4ba6", "kernel_id": "85764"}, {"ref": "jsab16/notebookb9d9b52013", "kernel_id": "85797"}, {"ref": "byungsunbae/notebook-00f4d9b311626fd543a1", "kernel_id": "85171"}, {"ref": "scaufengyang/keras-benchmark", "kernel_id": "96746"}, {"ref": "gaomingwu/notebook64e264aae1", "kernel_id": "90349"}, {"ref": "madmaxliu/redhat-max", "kernel_id": "94453"}, {"ref": "madmaxliu/notebook44ca2f304e", "kernel_id": "92425"}, {"ref": "madmaxliu/betacat", "kernel_id": "92426"}, {"ref": "jsenseman/redhat-r", "kernel_id": "91821"}, {"ref": "thebear19/myxgboost", "kernel_id": "91713"}, {"ref": "praveenhegde/random-forest-classifier", "kernel_id": "90516"}, {"ref": "spraveengupta/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "94557"}, {"ref": "artbataev/notebook15ee52ccf1", "kernel_id": "90562"}, {"ref": "burakyilmaz321/notebook77db3571e2", "kernel_id": "91845"}, {"ref": "yiyunzhou/notebookc497bdb733", "kernel_id": "86291"}, {"ref": "nkelly/notebook89632d3ca7", "kernel_id": "90601"}, {"ref": "nkelly/eda-notebook", "kernel_id": "90628"}, {"ref": "themantalope/notebook9d8973898e", "kernel_id": "88607"}, {"ref": "hardaniel/time-travel-eda", "kernel_id": "93612"}, {"ref": "fangyuns/notebookbbf92f7cfc", "kernel_id": "91625"}, {"ref": "laurae2/raddar-goes-ham-with-leak", "kernel_id": "89970"}, {"ref": "mousehead/raddar-xgboost-linear-model", "kernel_id": "96702"}, {"ref": "mousehead/data-from-raw-to-sparse-and-ready-to-fit", "kernel_id": "95989"}, {"ref": "mousehead/raw-data-into-sparse-matrices", "kernel_id": "95987"}, {"ref": "goelhardik/keras-starter", "kernel_id": "89658"}, {"ref": "xiaofei/time-travel-eda", "kernel_id": "93439"}, {"ref": "vitidn/notebookbfc56909e1", "kernel_id": "87379"}, {"ref": "yanxinjia/fork-of-sparse-redhat-xgb", "kernel_id": "86267"}, {"ref": "yanxinjia/sparse-redhat-xgb", "kernel_id": "86099"}, {"ref": "yanxinjia/redhat-challenge", "kernel_id": "86106"}, {"ref": "aagundez/notebookdceed26ab6", "kernel_id": "98888"}, {"ref": "aagundez/time-travel-eda", "kernel_id": "89454"}, {"ref": "isaacmoore7/deep-try-with-keras-auc-0-93025", "kernel_id": "93711"}, {"ref": "mk2759/notebookd00dc69d29", "kernel_id": "95270"}, {"ref": "pchoengtawee/notebook814743745d", "kernel_id": "98297"}, {"ref": "marcelpedroso/notebook122e3c1206", "kernel_id": "90145"}, {"ref": "takuyasakaguchi/time-travel-eda", "kernel_id": "94130"}, {"ref": "taeheekim/notebookf117949fa4", "kernel_id": "94868"}, {"ref": "aakashnain/notebooke36013f7c4", "kernel_id": "90338"}, {"ref": "aakashnain/redhatxgb", "kernel_id": "90394"}, {"ref": "aakashnain/redhatxgbnew", "kernel_id": "90818"}, {"ref": "aakashnain/notebookb252c07581", "kernel_id": "88679"}, {"ref": "aakashnain/notebook53b904bc20", "kernel_id": "88506"}, {"ref": "aakashnain/notebook0a6efdf823", "kernel_id": "95815"}, {"ref": "aakashnain/notebook1cbf669751", "kernel_id": "87368"}, {"ref": "aakashnain/notebook27df99b8f5", "kernel_id": "87068"}, {"ref": "roaddywu/xredboost", "kernel_id": "85166"}, {"ref": "roaddywu/notebook-2b290a24f31f1cd1a8e0", "kernel_id": "85071"}, {"ref": "mauropelucchi/explain-red-hat-data-and-xgb-model", "kernel_id": "91357"}, {"ref": "liuzhenping/mod2908kaggle", "kernel_id": "92331"}, {"ref": "walmaguer1/notebook94f5f5f425", "kernel_id": "91210"}, {"ref": "williamqzc/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "92992"}, {"ref": "williamqzc/notebookbe6b6d59db", "kernel_id": "92940"}, {"ref": "williamqzc/without-leak-8-31", "kernel_id": "92938"}, {"ref": "williamqzc/python-ver-of-group-1-and-date-trick", "kernel_id": "92951"}, {"ref": "luokai/time-travel-eda", "kernel_id": "89730"}, {"ref": "luokai/predicting-red-hat-business-value", "kernel_id": "89737"}, {"ref": "hewb14xmm/notebookd59734cd4c", "kernel_id": "96217"}, {"ref": "kaggleval/notebook9834f77c79", "kernel_id": "94814"}, {"ref": "mikeyhu2014/notebooka352de16f9", "kernel_id": "92828"}, {"ref": "mikeyhu2014/notebook8bdab43c07", "kernel_id": "92836"}, {"ref": "kharvd/notebook6d490c15ac", "kernel_id": "88479"}, {"ref": "umeshsati/single-unified-table-0-94-sklearn", "kernel_id": "107467"}, {"ref": "wusy1209/onepp", "kernel_id": "88895"}, {"ref": "databiomining/notebook7ec8600ae5", "kernel_id": "96055"}, {"ref": "chao2016/lalala", "kernel_id": "96272"}, {"ref": "vinodkumarn/redhat-eda", "kernel_id": "85822"}, {"ref": "vinodkumarn/xgboostbasic", "kernel_id": "85472"}, {"ref": "vinodkumarn/notebook-38ef42ca9ab3c1816c1f", "kernel_id": "85476"}, {"ref": "vinodkumarn/notebook-10a526cfe4253c53ab54", "kernel_id": "85478"}, {"ref": "francescobonazzi/time-travel-eda", "kernel_id": "88954"}, {"ref": "whatever2099/notebookefb743a771", "kernel_id": "89512"}, {"ref": "kuchi428/new-script2", "kernel_id": "189772"}, {"ref": "kuchi428/notebookb26e8153ce", "kernel_id": "189762"}, {"ref": "jihyeseo/redhat-eda-category-classify", "kernel_id": "956980"}, {"ref": "luicaian/single-unified-table-0-94-sklearn", "kernel_id": "86582"}, {"ref": "crailtap/keras-starter", "kernel_id": "85934"}, {"ref": "crailtap/notebook4e16f2b16e", "kernel_id": "93345"}, {"ref": "zhhtc200/single-unified-table-0-94-sklearn", "kernel_id": "87791"}, {"ref": "zhhtc200/first-try-on-rh-data", "kernel_id": "92063"}, {"ref": "dautovri/pipeline-votingclassifier-0-95347", "kernel_id": "85704"}, {"ref": "yuyanglao/notebook64dc1d11d9", "kernel_id": "95754"}, {"ref": "orisphere/submit-79", "kernel_id": "95793"}, {"ref": "caiotaniguchi/removing-duplicates", "kernel_id": "85335"}, {"ref": "igauty/single-unified-table-0-94-sklearn", "kernel_id": "91617"}, {"ref": "nathanwilk7/red-hat-business-test", "kernel_id": "86089"}, {"ref": "garethjns/fork-of-the-eleanor-roosevelt-approach", "kernel_id": "86033"}, {"ref": "garethjns/explore-people-activity-count", "kernel_id": "86011"}, {"ref": "garethjns/the-eleanor-roosevelt-approach", "kernel_id": "86012"}, {"ref": "garethjns/combined-forests-0-95", "kernel_id": "85714"}, {"ref": "feanolmo/single-unified-table-0-94-sklearn", "kernel_id": "96017"}, {"ref": "feanolmo/notebook720f79bf8f", "kernel_id": "96925"}, {"ref": "feanolmo/single-unified-table-0-94-sklearn-3503ebeb", "kernel_id": "97440"}, {"ref": "rodgexu/single-unified-table-0-94-sklearn", "kernel_id": "92397"}, {"ref": "rodgexu/notebook7fa6585713", "kernel_id": "89044"}, {"ref": "rodgexu/redhat-humds", "kernel_id": "96904"}, {"ref": "rodgexu/time-travel-eda-5d027bad", "kernel_id": "87059"}, {"ref": "rodgexu/time-travel-eda", "kernel_id": "87055"}, {"ref": "shihaozhang/notebook46bb3a2e0c", "kernel_id": "96956"}, {"ref": "shihaozhang/notebookc4ac3891d7", "kernel_id": "96030"}, {"ref": "shihaozhang/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "96045"}, {"ref": "kevinpalm/xgboost-with-leak", "kernel_id": "93630"}, {"ref": "kevinpalm/simplified-leak-starter-template", "kernel_id": "90080"}, {"ref": "kevinpalm/people-eda-and-decomposition", "kernel_id": "88573"}, {"ref": "dorvik/notebookd7cbe86cc8", "kernel_id": "89010"}, {"ref": "dorvik/notebook04edebdadb", "kernel_id": "88040"}, {"ref": "pankajmishra/notebookbfa634872d", "kernel_id": "97083"}, {"ref": "pankajmishra/notebookcc2f338184", "kernel_id": "94906"}, {"ref": "pankajmishra/notebook59885274b4", "kernel_id": "95132"}, {"ref": "pankajmishra/fork-of-notebookcff4ede027", "kernel_id": "95272"}, {"ref": "holevikrant/time-travel-eda", "kernel_id": "91734"}, {"ref": "rubtsovvasiliy/notebook53d216d25a", "kernel_id": "89884"}, {"ref": "supeng/notebook4f1ee1103a", "kernel_id": "98605"}, {"ref": "vibhug/forumsample", "kernel_id": "88195"}, {"ref": "vibhug/samples1", "kernel_id": "88182"}, {"ref": "vibhug/r-starter-around-0-98-auc", "kernel_id": "88180"}, {"ref": "ericwbzhang/python-ver-of-group-1-and-date-trick-v2", "kernel_id": "91448"}, {"ref": "ericwbzhang/notebook1eb9f73041", "kernel_id": "91328"}, {"ref": "ericwbzhang/python-ver-of-group-1-and-date-trick", "kernel_id": "91408"}, {"ref": "om1042/xgboost-enhanced", "kernel_id": "85351"}, {"ref": "om1042/first-script", "kernel_id": "85321"}, {"ref": "shahil93/redhat2", "kernel_id": "96835"}, {"ref": "williamhau/notebook8450cb9b00", "kernel_id": "90451"}, {"ref": "williamhau/raddar-goes-ham-with-leak", "kernel_id": "90657"}, {"ref": "williamhau/teset", "kernel_id": "90914"}, {"ref": "kevinkirchhoff/outcome-by-mean-of-char38", "kernel_id": "85703"}, {"ref": "chesnokov/raddar-xgb-people-ids-cross-validation", "kernel_id": "97653"}, {"ref": "skidsteerpilot/notebook96a1ecbcf4", "kernel_id": "92048"}, {"ref": "aishsmash/filechecker", "kernel_id": "89443"}, {"ref": "diegodelazzari/notebookadbc9e1f19", "kernel_id": "91860"}, {"ref": "dariaei/notebookd3f95dbc97", "kernel_id": "88356"}, {"ref": "dariaei/notebook7fcd4e8dd2", "kernel_id": "89525"}, {"ref": "dariaei/notebook6527c8abda", "kernel_id": "89540"}, {"ref": "doublefox/time-travel-eda", "kernel_id": "92317"}, {"ref": "patanouk/xredboost", "kernel_id": "85981"}, {"ref": "mayou36/notebookae7e362622", "kernel_id": "88220"}, {"ref": "mayou36/notebook466aa1b7ac", "kernel_id": "86618"}, {"ref": "mayou36/time-travel-eda", "kernel_id": "86619"}, {"ref": "cow1029/notebook625dd9f98c", "kernel_id": "95238"}, {"ref": "jtrpinto/notebookb2f87b54e4", "kernel_id": "90053"}, {"ref": "hxyyuan123/notebook9830bc4bba", "kernel_id": "93556"}, {"ref": "hxyyuan123/testsfor", "kernel_id": "93557"}, {"ref": "nsynsy001/kaggle-first-experience", "kernel_id": "92616"}, {"ref": "nsynsy001/notebookb423b18d98", "kernel_id": "92948"}, {"ref": "nsynsy001/fork-of-kaggle-first-experience", "kernel_id": "92651"}, {"ref": "renancampos/time-travel-eda", "kernel_id": "86816"}, {"ref": "hlchen/notebooke0fbe34b76", "kernel_id": "193751"}, {"ref": "philipsun/notebookd101008863", "kernel_id": "89456"}, {"ref": "philipsun/time-travel-eda", "kernel_id": "89448"}, {"ref": "bostdiek/notebook8a949da171", "kernel_id": "87336"}, {"ref": "bostdiek/initial-look-at-dates-and-profit", "kernel_id": "88136"}, {"ref": "xellos/exploringdata", "kernel_id": "91265"}, {"ref": "xellos/notebook02aedc9aa1", "kernel_id": "91381"}, {"ref": "xellos/notebook5a08a283a4", "kernel_id": "96349"}, {"ref": "chitrakgupta144/notebook2610669364", "kernel_id": "85949"}, {"ref": "myf0111/rhpredictions", "kernel_id": "85606"}, {"ref": "itsmeumesh/notebookd2c6537f05", "kernel_id": "95999"}, {"ref": "itsmeumesh/initial-v1", "kernel_id": "96032"}, {"ref": "itsmeumesh/red-hat-script", "kernel_id": "97688"}, {"ref": "arunprasad/start", "kernel_id": "88789"}, {"ref": "intael/notebook41d0c51c27", "kernel_id": "88292"}, {"ref": "afshinamiri/notebooka490b985a8", "kernel_id": "93055"}, {"ref": "anishanalytics/pred-xgb1", "kernel_id": "87506"}, {"ref": "tasugi/test-py-1", "kernel_id": "96486"}, {"ref": "gullu39/submit-1712", "kernel_id": "96115"}, {"ref": "ryancaldwell/gradient-boosting", "kernel_id": "89452"}, {"ref": "ryancaldwell/gradient-boosting-model", "kernel_id": "94211"}, {"ref": "rajat8878/notebookc73111212f", "kernel_id": "91731"}, {"ref": "housheng/run-script", "kernel_id": "90554"}, {"ref": "derekpyne/notebook-93a196fdc3963683fbe9", "kernel_id": "85361"}, {"ref": "nitink12/nitin-v8", "kernel_id": "92516"}, {"ref": "nitink12/notebook056c0f6a68", "kernel_id": "92577"}, {"ref": "nitink12/nitin-v1", "kernel_id": "91835"}, {"ref": "nitink12/nitin-tree", "kernel_id": "94811"}, {"ref": "nitink12/nitin-v15", "kernel_id": "95339"}, {"ref": "rshigemori/notebookfb2db479fd", "kernel_id": "94120"}, {"ref": "funnyjourney/time-travel-eda", "kernel_id": "123735"}, {"ref": "minimini/notebookc0343fdab2", "kernel_id": "91190"}, {"ref": "ultrajack/notebook12da5793e3", "kernel_id": "94093"}, {"ref": "goodlearn/power-divergence-to-find-parameters", "kernel_id": "98903"}, {"ref": "tetevi/notebook3b81f8883f", "kernel_id": "98034"}, {"ref": "campbellchristopher/notebookf2941a9e13", "kernel_id": "88355"}, {"ref": "divnull/notebook-e5d4f8e7523626603feb", "kernel_id": "85220"}, {"ref": "divnull/notebook-24b3fa18475006aaccf8", "kernel_id": "85202"}, {"ref": "divnull/notebook-903bacc897c4bb2f7a58", "kernel_id": "85203"}, {"ref": "divnull/explore-people-activity-count", "kernel_id": "85205"}, {"ref": "amanrana20/time-travel-eda", "kernel_id": "89298"}, {"ref": "shenggao/test-script-redhat", "kernel_id": "96225"}, {"ref": "abedben/notebookb4dc9b5b13", "kernel_id": "93955"}, {"ref": "abedben/r-starter-around-0-98-auc", "kernel_id": "93956"}, {"ref": "shanmukha1987/notebook83badecb89", "kernel_id": "87325"}, {"ref": "alesgb/automated-genetic-feature-engineering-with-mjmcmc", "kernel_id": "97431"}, {"ref": "alesgb/notebookf0e50cdac7", "kernel_id": "98779"}, {"ref": "alesgb/emjmcmc-gives-up-to-99-0-auc", "kernel_id": "91960"}, {"ref": "alesgb/emjmcmc-with-simple-features-leak", "kernel_id": "93218"}, {"ref": "davidmsoto/notebook30b9586b6f", "kernel_id": "91604"}, {"ref": "lusiliang93/notebook48ffd1a4f0", "kernel_id": "86037"}, {"ref": "lusiliang93/notebookef9eb5c666", "kernel_id": "86039"}, {"ref": "shrutigodbole15792/feature-selection", "kernel_id": "94885"}, {"ref": "shrutigodbole15792/r-script", "kernel_id": "98120"}, {"ref": "shrutigodbole15792/datetime", "kernel_id": "97397"}, {"ref": "ajeshbabu/notebook895061f48b", "kernel_id": "138247"}, {"ref": "hydnrich/zimba2", "kernel_id": "88606"}, {"ref": "hydnrich/notebook42ed0548c6", "kernel_id": "87456"}, {"ref": "hydnrich/my-script", "kernel_id": "87457"}, {"ref": "hydnrich/zimba", "kernel_id": "87459"}, {"ref": "hydnrich/try12", "kernel_id": "85776"}, {"ref": "justina/redhat", "kernel_id": "91406"}, {"ref": "jeffd23/notebook9e6f27c5ee", "kernel_id": "90203"}, {"ref": "jeffd23/analysis-of-char-38-key-feature", "kernel_id": "85327"}, {"ref": "jeffd23/single-unified-table-0-94-sklearn", "kernel_id": "85145"}, {"ref": "jeffd23/notebook-9beb4dbbc36fb6ef6d9a", "kernel_id": "85138"}, {"ref": "jeffd23/notebook-8241527cf4968c080acd", "kernel_id": "85127"}, {"ref": "siriuspug/single-unified-table-0-94-sklearn", "kernel_id": "87206"}, {"ref": "eleijonmarck/playground-0-2", "kernel_id": "88048"}, {"ref": "eleijonmarck/hellllllllo", "kernel_id": "88065"}, {"ref": "eleijonmarck/notebook2f329a6348", "kernel_id": "88071"}, {"ref": "aahmd703/labelencoder-and-randomforest", "kernel_id": "86293"}, {"ref": "anmoldubey/filechecking", "kernel_id": "89444"}, {"ref": "sauravshishodia/notebook7f2fd0cf2d", "kernel_id": "93334"}, {"ref": "apmfifty/notebook4ee7a3d0a1", "kernel_id": "107543"}, {"ref": "loqutus/notebook3e6eefa01e", "kernel_id": "90767"}, {"ref": "murali12180/redhattest", "kernel_id": "97699"}, {"ref": "flytosky/my-first-script", "kernel_id": "86421"}, {"ref": "mia1394/notebookdb34ef9027", "kernel_id": "87882"}, {"ref": "mia1394/notebookb9f7a76358", "kernel_id": "87915"}, {"ref": "mia1394/kd0811", "kernel_id": "87859"}, {"ref": "sungguni/notebook-fa886a3a9bca922b92bc", "kernel_id": "85466"}, {"ref": "sungguni/notebook-db3031ce8783b7cf5c93", "kernel_id": "85467"}, {"ref": "sugiantolauw/time-travel-eda", "kernel_id": "86661"}, {"ref": "sangwoochoi/notebook56345be439", "kernel_id": "94175"}, {"ref": "amman123/notebook256e2d54b4", "kernel_id": "85916"}, {"ref": "anujgrover/redhat-humds", "kernel_id": "95875"}, {"ref": "anujgrover/notebook349694e1ad", "kernel_id": "95782"}, {"ref": "anujgrover/notebookbc71099c15", "kernel_id": "95375"}, {"ref": "idealedge/r-starter-around-0-98-auc", "kernel_id": "86589"}, {"ref": "taipan/0-98-xgboost-on-sparse-matrix", "kernel_id": "114876"}, {"ref": "emilyzhang/notebooke916f1c49e", "kernel_id": "96261"}, {"ref": "adityakumarsinha/people-eda-and-decomposition", "kernel_id": "94040"}, {"ref": "adityakumarsinha/raddar-goes-ham-with-leak", "kernel_id": "95794"}, {"ref": "adityakumarsinha/raddar-0-98-trying-with-gbtree", "kernel_id": "95773"}, {"ref": "adityakumarsinha/submit-79", "kernel_id": "95942"}, {"ref": "dilshod/notebook13b2e3dc68", "kernel_id": "91022"}, {"ref": "dilshod/notebook81f748f0e2", "kernel_id": "91023"}, {"ref": "claracaba/testing", "kernel_id": "87884"}, {"ref": "adagyenes/redhat", "kernel_id": "88962"}, {"ref": "yizhipangda/notebookaf2b7f1e59", "kernel_id": "96159"}, {"ref": "isaaczurn/red-hat", "kernel_id": "85347"}, {"ref": "tporkka/notebookdf0e66db6a", "kernel_id": "92245"}, {"ref": "kb3gjt/rhxg1-r", "kernel_id": "88320"}, {"ref": "xingobar/classify-xgboost", "kernel_id": "127452"}, {"ref": "xingobar/classify-group", "kernel_id": "127342"}, {"ref": "xingobar/notebook15410810b0", "kernel_id": "99883"}, {"ref": "israelmugunga/notebook2ae06c6fbf", "kernel_id": "96196"}, {"ref": "zishan/notebook6e7119cffa", "kernel_id": "93269"}, {"ref": "cnukaus/time-travel-eda-xueyuancopy", "kernel_id": "87108"}, {"ref": "yuanxu/notebook1c77a3b51b", "kernel_id": "93845"}, {"ref": "hironori/sample", "kernel_id": "85192"}, {"ref": "tejasshinge27/notebooke14d255044", "kernel_id": "96378"}, {"ref": "tejasshinge27/redhat-humds", "kernel_id": "95774"}, {"ref": "tejasshinge27/fork-of-redhat-humds", "kernel_id": "95784"}, {"ref": "skirmer/learning-xgboost-through-redhat-project", "kernel_id": "91806"}, {"ref": "frjo0083/etatest", "kernel_id": "86070"}, {"ref": "frjo0083/xgboost-on-sparse-matrix1", "kernel_id": "86049"}, {"ref": "frjo0083/testing-xgboost", "kernel_id": "86076"}, {"ref": "frjo0083/0-98-xgboost-on-sparse-matrix", "kernel_id": "85969"}, {"ref": "frjo0083/single-unified-table-0-94-sklearn", "kernel_id": "85275"}, {"ref": "frjo0083/grey-wolf-0-982", "kernel_id": "87573"}, {"ref": "frjo0083/boosting-r", "kernel_id": "87057"}, {"ref": "frjo0083/xgboosting-r", "kernel_id": "87062"}, {"ref": "frjo0083/xgboost-with-date", "kernel_id": "86715"}, {"ref": "frjo0083/all-07082016-date-feats-v1", "kernel_id": "86716"}, {"ref": "frjo0083/labelencoder-and-randomforest", "kernel_id": "86344"}, {"ref": "frjo0083/xgboost-tree", "kernel_id": "86345"}, {"ref": "frjo0083/linear-xgboost", "kernel_id": "86466"}, {"ref": "shubhamsikarwar14/notebook1808d3efc6", "kernel_id": "87265"}, {"ref": "sunnyrain/submit-90", "kernel_id": "96250"}, {"ref": "sunnyrain/13092016-submit-1", "kernel_id": "96745"}, {"ref": "sunnyrain/time-travel-eda", "kernel_id": "95612"}, {"ref": "sunnyrain/submit-8888", "kernel_id": "96136"}, {"ref": "kramster/test-1", "kernel_id": "93324"}, {"ref": "kramster/notebook1c68e31425", "kernel_id": "91461"}, {"ref": "alekseyklementiev/test-1-1", "kernel_id": "91083"}, {"ref": "alekseyklementiev/notebookbb9293fd9e", "kernel_id": "88577"}, {"ref": "wenbo5565/notebookf0c04e2d31", "kernel_id": "107718"}, {"ref": "wenbo5565/notebook6c75fc0d9d", "kernel_id": "142197"}, {"ref": "hmphuc/notebooke23f2d3689", "kernel_id": "97868"}, {"ref": "spencerdh/notebook-2c5de3c5b7b504e13ff9", "kernel_id": "85039"}, {"ref": "alijs1/raddar-goes-ham-with-leak", "kernel_id": "90824"}, {"ref": "kateswierz/notebook8e43ccae0e", "kernel_id": "85674"}, {"ref": "kateswierz/redhat-r", "kernel_id": "85675"}, {"ref": "shivani192/notebook29c38bba4b", "kernel_id": "92604"}, {"ref": "epratt8181/notebook1e0811f117", "kernel_id": "92394"}, {"ref": "epratt8181/practice", "kernel_id": "92395"}, {"ref": "nealtao/test-1", "kernel_id": "86177"}, {"ref": "nealtao/notebookad83179455", "kernel_id": "86402"}, {"ref": "nealtao/test-red", "kernel_id": "86403"}, {"ref": "nealtao/notebook5a2fbadea7", "kernel_id": "86392"}, {"ref": "nealtao/single-unified-table-0-94-sklearn", "kernel_id": "86604"}, {"ref": "pngamhir/notebook9601f1133a", "kernel_id": "94991"}, {"ref": "moscolitos/notebookd6fed3220f", "kernel_id": "85902"}, {"ref": "deevisha/notebook077f800c93", "kernel_id": "238866"}, {"ref": "deevisha/notebook55fc18d5cd", "kernel_id": "238087"}, {"ref": "deevisha/notebook4d9afd098b", "kernel_id": "237261"}, {"ref": "popularmit/notebook82b96e5a4d", "kernel_id": "91742"}, {"ref": "manikanta91/notebook3c206d09cf", "kernel_id": "94608"}, {"ref": "scp173/data-extraction", "kernel_id": "90542"}, {"ref": "tanlikesmath/notebook158f981c65", "kernel_id": "91181"}, {"ref": "tanlikesmath/xgboost-hyperparameter-tuning", "kernel_id": "94540"}, {"ref": "tanlikesmath/fork-of-xgboost-hyperparameter-tuning", "kernel_id": "94556"}, {"ref": "tanlikesmath/xredboost-cv", "kernel_id": "94609"}, {"ref": "tanlikesmath/fork-of-xgboost-with-leak-cv", "kernel_id": "94843"}, {"ref": "tanlikesmath/xgboost-without-leak-parameter-tuning", "kernel_id": "93747"}, {"ref": "tanlikesmath/xgboost-scikit-learn", "kernel_id": "93970"}, {"ref": "tanlikesmath/xgboost-parameter-tuning", "kernel_id": "93959"}, {"ref": "tanlikesmath/notebookc9fb363957", "kernel_id": "93980"}, {"ref": "tanlikesmath/xgboost-scikit-learn-grid-search", "kernel_id": "93976"}, {"ref": "tanlikesmath/xgboost-with-leak-hyperparameter-tuning", "kernel_id": "94257"}, {"ref": "tanlikesmath/simplified-leak-starter-template", "kernel_id": "93275"}, {"ref": "tanlikesmath/notebookf12ad30113", "kernel_id": "93485"}, {"ref": "tanlikesmath/xgboost-with-leak", "kernel_id": "93455"}, {"ref": "tanlikesmath/xredboost", "kernel_id": "92919"}, {"ref": "tanlikesmath/me-fork-of-xgboost-with-leak-feature-engi", "kernel_id": "95779"}, {"ref": "tanlikesmath/notebookcd1a523731", "kernel_id": "97799"}, {"ref": "fanlu7311/test-fa", "kernel_id": "94654"}, {"ref": "clandgon/notebook0dac70e78c", "kernel_id": "92542"}, {"ref": "matpimenta/notebook-4a9c516bef1973708ada", "kernel_id": "85390"}, {"ref": "matpimenta/notebook-746a855c107897c7f85b", "kernel_id": "85395"}, {"ref": "tylanmurphy/notebook18679ddb6f", "kernel_id": "86539"}, {"ref": "tylanmurphy/redhat-eda", "kernel_id": "86544"}, {"ref": "canary1/canary2", "kernel_id": "86387"}, {"ref": "akash222/single-unified-table-0-95-sklearn-added-date", "kernel_id": "91963"}, {"ref": "akash222/preprocees", "kernel_id": "91964"}, {"ref": "maxwolff/notebooka99de6a6fe", "kernel_id": "86841"}, {"ref": "nverma22/notebook8b8cf89cf1", "kernel_id": "85819"}, {"ref": "nverma22/notebook79d6499f7a", "kernel_id": "85900"}, {"ref": "demonzheg/notebookc73bc78bb5", "kernel_id": "98318"}, {"ref": "chunfu/notebook8540f95b63", "kernel_id": "98392"}, {"ref": "akhaleghi/notebook2406044639", "kernel_id": "86080"}, {"ref": "egergo/notebookfb871366b2", "kernel_id": "86277"}, {"ref": "zgrkpnr/notebook0fc3e97cbc", "kernel_id": "86304"}, {"ref": "zgrkpnr/zxczxc", "kernel_id": "86305"}, {"ref": "ctjohnson/notebook61f865b645", "kernel_id": "86492"}, {"ref": "rafalp/notebook44a938d432", "kernel_id": "86853"}, {"ref": "bystray/notebookec91395a26", "kernel_id": "101571"}, {"ref": "sidedish/my-redhat-prediction", "kernel_id": "94929"}, {"ref": "anzaianzai/notebooke1d3841292", "kernel_id": "91727"}, {"ref": "plagal/generalized-linear-mixed-model", "kernel_id": "88262"}, {"ref": "chimera0kimura/notebookd378dcbe19", "kernel_id": "93538"}, {"ref": "dbwldnd/notebookc55ef49b70", "kernel_id": "92128"}, {"ref": "venkybuddy/notebookd0eec35f59", "kernel_id": "93530"}, {"ref": "molinjian/people-eda-and-decomposition", "kernel_id": "90112"}, {"ref": "snigdhendu/notebook4449574123", "kernel_id": "89933"}, {"ref": "tomanuniwat/notebook7f8e16127d", "kernel_id": "88751"}, {"ref": "zubati/notebook090488a418", "kernel_id": "93330"}, {"ref": "sixthprime/trial-run", "kernel_id": "88961"}, {"ref": "yfchow/notebooka740235869", "kernel_id": "89105"}, {"ref": "yfchow/time-travel-eda", "kernel_id": "89086"}, {"ref": "yfchow/time-travel-eda-2bbb3de8", "kernel_id": "89099"}, {"ref": "yfchow/notebook4102a123c2", "kernel_id": "89102"}, {"ref": "yfchow/notebookd12372da92", "kernel_id": "89082"}, {"ref": "yfchow/notebook328b5f8a29", "kernel_id": "89074"}, {"ref": "yfchow/notebookaf0edd6e1c", "kernel_id": "89076"}, {"ref": "mryuyu1111/notebook7f427bb74c", "kernel_id": "89083"}, {"ref": "mryuyu1111/notebook1b71674fa7", "kernel_id": "89085"}, {"ref": "mryuyu1111/notebook72e5b29c4f", "kernel_id": "92758"}, {"ref": "mryuyu1111/notebooka5843880fa", "kernel_id": "96359"}, {"ref": "mryuyu1111/test-script", "kernel_id": "160879"}, {"ref": "karacgun/notebooka5c28f1578", "kernel_id": "89211"}, {"ref": "spidermanxyz/notebook4111498f6f", "kernel_id": "95277"}, {"ref": "spidermanxyz/xredboost", "kernel_id": "95298"}, {"ref": "sharonaire/notebook7976288290", "kernel_id": "103153"}, {"ref": "bandari/classify-customer-potential-red-hat", "kernel_id": "92600"}, {"ref": "sastry75/predicting-red-hat-business-value-new", "kernel_id": "96323"}, {"ref": "sastry75/predicting-red-hat-business-value", "kernel_id": "95981"}, {"ref": "marieanani/suu-s-notebook", "kernel_id": "90734"}, {"ref": "birdieorbust/notebookf02d7c4113", "kernel_id": "90564"}, {"ref": "whonghui/time-travel-eda", "kernel_id": "94652"}, {"ref": "fannyxiaoya/time-travel-eda", "kernel_id": "93723"}, {"ref": "jovidam/notebooka6a461d497", "kernel_id": "91156"}, {"ref": "abhilashnaik/lal-topi", "kernel_id": "706557"}, {"ref": "yinhe10/notebooke067e2c8fb", "kernel_id": "118554"}, {"ref": "devikanandanan/using-logistic-regression", "kernel_id": "97562"}, {"ref": "don123/notebook44acd3ba3e", "kernel_id": "91837"}, {"ref": "fanxain/first-project", "kernel_id": "97029"}, {"ref": "fanxain/notebookff02598567", "kernel_id": "127548"}, {"ref": "rajnishrajput/redhat", "kernel_id": "92282"}, {"ref": "joelone/raddar-goes-ham-with-leak", "kernel_id": "92393"}, {"ref": "omaxim/notebook1aa3deae55", "kernel_id": "92720"}, {"ref": "omaxim/r-linear", "kernel_id": "93073"}, {"ref": "omaxim/test-script", "kernel_id": "93085"}, {"ref": "citation/animesh", "kernel_id": "97557"}, {"ref": "salkaa/python-ver-of-group-1-and-date-trick", "kernel_id": "98175"}, {"ref": "salkaa/ahgfghfgh", "kernel_id": "95838"}, {"ref": "salkaa/raddar-0-98-xgboost-sparse-matrix", "kernel_id": "95928"}, {"ref": "salkaa/raddar-0-98-xgboost-sparse-matrix-pyt", "kernel_id": "96039"}, {"ref": "salkaa/assssss", "kernel_id": "96031"}, {"ref": "salkaa/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "94988"}, {"ref": "hadi86/predict-business-value", "kernel_id": "98606"}, {"ref": "hiteshprabhu92/redhat-predicting-business-value-hitesh", "kernel_id": "95849"}, {"ref": "roggin/single-unified-table-0-94-sklearn", "kernel_id": "94323"}, {"ref": "roggin/time-travel-eda", "kernel_id": "94578"}, {"ref": "roggin/xgboost-with-leak", "kernel_id": "94757"}, {"ref": "nkdxczh/notebookf490f7dfab", "kernel_id": "93693"}, {"ref": "pucenoise/notebookd10e12a925", "kernel_id": "94509"}, {"ref": "sabhy92/keras-benchmark", "kernel_id": "134452"}, {"ref": "chirag0734/notebookbf289922b7", "kernel_id": "118306"}, {"ref": "chirag0734/minions", "kernel_id": "120677"}, {"ref": "chirag0734/redhat-eda", "kernel_id": "122187"}, {"ref": "amroy4u/notebook8cded22892", "kernel_id": "95776"}, {"ref": "amroy4u/redhat-humds", "kernel_id": "95785"}, {"ref": "loststar/notebook3c202cf927", "kernel_id": "94615"}, {"ref": "mani7831/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "97332"}, {"ref": "likang/first", "kernel_id": "95441"}, {"ref": "tranquynhnhu/notebookd2ba711eb0", "kernel_id": "95557"}, {"ref": "muhammadtariq/notebook2dcf58a5f4", "kernel_id": "95162"}, {"ref": "peabody/test-for-1st-time", "kernel_id": "95019"}, {"ref": "ihatepeople/check-example", "kernel_id": "96338"}, {"ref": "ihatepeople/example2", "kernel_id": "96351"}, {"ref": "eddiecunningham/notebook5facd11c04", "kernel_id": "95362"}, {"ref": "kalyani13/ghyvbn", "kernel_id": "95623"}, {"ref": "eeeennnn/notebook181da1f1e3", "kernel_id": "96766"}, {"ref": "abonglee/notebook23f9eb3166", "kernel_id": "96211"}, {"ref": "exampleml/submit-79", "kernel_id": "96520"}, {"ref": "exampleml/lllll", "kernel_id": "96531"}, {"ref": "wanderbene/time-travel-eda", "kernel_id": "127341"}, {"ref": "pm1729/redhatbusinessvalue", "kernel_id": "97578"}, {"ref": "liqin19921230/notebook3630cb4a04", "kernel_id": "103776"}, {"ref": "forsomeday/test1", "kernel_id": "116336"}, {"ref": "ragsx123/xredboost-edit", "kernel_id": "113468"}, {"ref": "ragsx123/notebookf5f4cb2187", "kernel_id": "119807"}, {"ref": "funapi/time-travel-eda", "kernel_id": "163725"}, {"ref": "alwayssnape/notebook185c74f9fd", "kernel_id": "98575"}, {"ref": "xiahricky/data-teseting", "kernel_id": "108170"}, {"ref": "dporunne/notebooka0092da3d6", "kernel_id": "118950"}, {"ref": "katanoyu/notebook96dda008b3", "kernel_id": "109797"}, {"ref": "alvyxc/notebook7a6bf62f9f", "kernel_id": "123119"}, {"ref": "alvyxc/notebookc237e23599", "kernel_id": "123120"}, {"ref": "debimahapatra/lb-0-987-group-1-and-date-trick", "kernel_id": "117583"}, {"ref": "rsinghania0922/tests", "kernel_id": "108175"}, {"ref": "rsinghania0922/testing", "kernel_id": "108176"}, {"ref": "jotarodriguez/time-travel-eda", "kernel_id": "153659"}, {"ref": "fanshaohua/time-travel-eda", "kernel_id": "111394"}, {"ref": "sharmin/notebooke05a96b652", "kernel_id": "121848"}, {"ref": "sharmin/notebook20463eea9a", "kernel_id": "123074"}, {"ref": "sharmin/notebookd1b156d0fc", "kernel_id": "124947"}, {"ref": "sharmin/notebook218e5db91d", "kernel_id": "124940"}, {"ref": "sharmin/notebookd8306534a6", "kernel_id": "124941"}, {"ref": "sharmin/notebook4613ec82ca", "kernel_id": "124942"}, {"ref": "sharmin/notebook7a3c7d9bf5", "kernel_id": "136465"}, {"ref": "sharmin/final", "kernel_id": "136470"}, {"ref": "sharmin/notebookb4aedb033e", "kernel_id": "136376"}, {"ref": "sharmin/notebookd452b1229b", "kernel_id": "136433"}, {"ref": "sharmin/notebook567e93bfbd", "kernel_id": "136457"}, {"ref": "sharmin/minus1v1", "kernel_id": "136206"}, {"ref": "sharmin/with0-0", "kernel_id": "136284"}, {"ref": "sharmin/notebook49d4c15e22", "kernel_id": "136280"}, {"ref": "sharmin/notebook017751e487", "kernel_id": "136167"}, {"ref": "sharmin/notebookd76522e2c1", "kernel_id": "135110"}, {"ref": "sharmin/notebook63404b77bc", "kernel_id": "115841"}, {"ref": "sharmin/notebook4034b32888", "kernel_id": "115829"}, {"ref": "ozymandius/notebookdfeb103bd1", "kernel_id": "170228"}, {"ref": "sklearner/notebook2af22d3572", "kernel_id": "119271"}, {"ref": "maejor/feature-selection-using-python", "kernel_id": "123550"}, {"ref": "anmolinsearch/classifier", "kernel_id": "145769"}, {"ref": "cloudly/redhat-behavioural-study", "kernel_id": "291948"}, {"ref": "krisuncy/notebook576aa223a5", "kernel_id": "157147"}, {"ref": "yamacg/lb-0-987-group-1-and-date-trick", "kernel_id": "304474"}, {"ref": "changchi/redhat-eda", "kernel_id": "229826"}, {"ref": "hiromikuu/sklearn-mlp", "kernel_id": "180996"}, {"ref": "donalmaceoin/raddar-0-98-xgboost-sparse-matrix-python", "kernel_id": "200354"}, {"ref": "nicholasbinger/project-1", "kernel_id": "229005"}, {"ref": "chengtang827/raddar-0-98-xgboost-sparse-matrix-pythony", "kernel_id": "205129"}, {"ref": "deepin/notebook67af89b16a", "kernel_id": "200203"}, {"ref": "itnasssss/folding-per-group-to-mimic-train-test-dataset", "kernel_id": "258737"}, {"ref": "shanshanlv/notebook16161f187a", "kernel_id": "211990"}, {"ref": "flpxiao/notebooke679ff0c20", "kernel_id": "241044"}, {"ref": "vanint/notebook77b847503b", "kernel_id": "222480"}, {"ref": "infzero/notebookee8c19c8eb", "kernel_id": "235531"}, {"ref": "jayspeidell/red-hat-exploratory-data-analysis", "kernel_id": "893200"}, {"ref": "harshitnarang/redhat-business-value-prediction", "kernel_id": "1239923"}, {"ref": "cgoyal/chunk-lr1", "kernel_id": "1506133"}, {"ref": "wwu651/lightgbm-with-sklearn-interface", "kernel_id": "3161334"}, {"ref": "muthuraja/red-hat-muthuraja", "kernel_id": "3279187"}, {"ref": "raivokoot/0-982-using-neural-networks-and-embeddings", "kernel_id": "8740483"}, {"ref": "revantt/time-travel-eda", "kernel_id": "10516568"}, {"ref": "wafadje/predicting-red-hat-business-value", "kernel_id": "10156672"}, {"ref": "christianhritter/predictbusinessvalue-eda", "kernel_id": "12159973"}, {"ref": "hiro1005/predicting-red-hat-business-value", "kernel_id": "12059437"}, {"ref": "marinovik/predicting-business-value-with-lightgbm-red-hat", "kernel_id": "14749990"}, {"ref": "emreevik/notebook0a48c3e0aa", "kernel_id": "14609425"}, {"ref": "dataengel/predicting-red-hat-business-value", "kernel_id": "15502446"}, {"ref": "kunalgaurav18/redhat", "kernel_id": "16978225"}, {"ref": "deepakkumargunjetti/classify-customer-potential", "kernel_id": "22054384"}, {"ref": "mohammedelhamraoui/dnn-red-hat-business-value", "kernel_id": "24877524"}, {"ref": "olehsavchyn/lab-1", "kernel_id": "59603057"}]}
{"competition_id": "5266", "kernels": []}
{"competition_id": "5275", "kernels": []}
{"competition_id": "5286", "kernels": []}
{"competition_id": "5296", "kernels": []}
{"competition_id": "5303", "kernels": []}
{"competition_id": "5313", "kernels": []}
{"competition_id": "5314", "kernels": [{"ref": "anandjeyahar/match-test-set-to-training-set", "kernel_id": "79455"}, {"ref": "anandjeyahar/notebook-09fd13ea10ab4ee27005", "kernel_id": "79492"}, {"ref": "shivaramkrs/classification-of-series", "kernel_id": "78582"}, {"ref": "shivaramkrs/notebook-0f4d6e43dfed8e51c474", "kernel_id": "78607"}, {"ref": "shivaramkrs/notebook-b984fdcda7d1e80a1f3c", "kernel_id": "78608"}, {"ref": "shivaramkrs/notebook-eeaefb022af087214d27", "kernel_id": "78240"}, {"ref": "shivaramkrs/fork-of-classification-of-series", "kernel_id": "86303"}, {"ref": "wcukierski/mode-benchmark", "kernel_id": "68175"}, {"ref": "guyko81/notebook878f358300", "kernel_id": "112460"}, {"ref": "d3potf/notebook-3a69c197744e1060e52d", "kernel_id": "69086"}, {"ref": "trort2008/notebook6915583288", "kernel_id": "99920"}, {"ref": "mcw0089/notebook2888639060", "kernel_id": "91143"}, {"ref": "neiljdo/notebookf34772d853", "kernel_id": "98893"}, {"ref": "rahulchem/recurrence-relation", "kernel_id": "89897"}, {"ref": "davidbuchaca/notebook-2b163221d1d563bcef56", "kernel_id": "68199"}, {"ref": "farfar26/notebook-5c0c131624afea12639f", "kernel_id": "80637"}, {"ref": "uioreanu/notebook-f2e066631841abeb2a9f", "kernel_id": "68513"}, {"ref": "uioreanu/notebook-7e93afd402a4301e1421", "kernel_id": "68526"}, {"ref": "uioreanu/notebook-c37a02c585635c01d373", "kernel_id": "68499"}, {"ref": "tamplierius/notebook-893751bed44a2ee72648", "kernel_id": "75773"}, {"ref": "tamplierius/notebook-a7bc79bd4b82eee20509", "kernel_id": "75762"}, {"ref": "scvgeo/how-to-cheat", "kernel_id": "101975"}, {"ref": "sergantche/test-script", "kernel_id": "100989"}, {"ref": "sergantche/notebook65ce40fe3d", "kernel_id": "100992"}, {"ref": "clustifier/linear-models-11", "kernel_id": "71442"}, {"ref": "dimkadimon/prefixes-lookup-0-22", "kernel_id": "85816"}, {"ref": "eneloop/notebook-2c9f9e98173a0549e75c", "kernel_id": "84377"}, {"ref": "sramaj/sequence-learning", "kernel_id": "94494"}, {"ref": "morudykim/notebook22894a82ed", "kernel_id": "100796"}, {"ref": "s3bastien/notebook-a9bc2ffc844d6f4372f8", "kernel_id": "72030"}, {"ref": "pageman/linear-models-0-13972", "kernel_id": "70117"}, {"ref": "akak0414/interger-sequence-learning", "kernel_id": "79746"}, {"ref": "iamvlejd/notebookcb14ed4e32", "kernel_id": "96057"}, {"ref": "lewuathe/notebook2eea5584aa", "kernel_id": "89000"}, {"ref": "isaac7/sequence", "kernel_id": "76759"}, {"ref": "david101/simple-models", "kernel_id": "99025"}, {"ref": "ryanallen/notebook-4fab7ec8b3bce95dc401", "kernel_id": "81382"}, {"ref": "saurabhbhandari/notebook-7dd29c7b923c04ee5cb6", "kernel_id": "68290"}, {"ref": "kbhola/recurrence-relation", "kernel_id": "86349"}, {"ref": "kbhola/notebookc16830fbc1", "kernel_id": "86090"}, {"ref": "ch11yx/lstm-integer-sequence-testing", "kernel_id": "185336"}, {"ref": "tadepalli/ratio-approach", "kernel_id": "90641"}, {"ref": "tadepalli/linear-models-11", "kernel_id": "90595"}, {"ref": "tadepalli/prefixes-lookup-0-22", "kernel_id": "90266"}, {"ref": "jamesdlawrence/integer-guessatron", "kernel_id": "68268"}, {"ref": "madjack/uttercrud", "kernel_id": "68601"}, {"ref": "madjack/totaltrash", "kernel_id": "68701"}, {"ref": "endintears/frequencies-0-08671", "kernel_id": "70442"}, {"ref": "endintears/linear-models", "kernel_id": "68872"}, {"ref": "endintears/notebook-c91933d9b26d670c48e2", "kernel_id": "73796"}, {"ref": "endintears/notebook-c6b74595c33f748c2365", "kernel_id": "73803"}, {"ref": "endintears/real-machine-learning", "kernel_id": "73805"}, {"ref": "endintears/prefixes-lookup-0-22", "kernel_id": "80545"}, {"ref": "ernestas/my-notebook", "kernel_id": "71218"}, {"ref": "ernestas/notebook-aca303857c5270a899be", "kernel_id": "71219"}, {"ref": "ernestas/my-script", "kernel_id": "71220"}, {"ref": "abevieiramota/sequences-features", "kernel_id": "68416"}, {"ref": "abevieiramota/mode-model-0-if-no-mode", "kernel_id": "68180"}, {"ref": "shan4224/linear-models-11", "kernel_id": "107003"}, {"ref": "josephchen/match-test-set-to-training-set", "kernel_id": "77965"}, {"ref": "tobychev/exploring-sequences", "kernel_id": "77911"}, {"ref": "nkenzhebekov/firstscript", "kernel_id": "101215"}, {"ref": "nkenzhebekov/notebookb151b886b3", "kernel_id": "101197"}, {"ref": "greenape/notebook25828e39b7", "kernel_id": "91833"}, {"ref": "erasmus/notebook-98a91d317ee4bbc5cce3", "kernel_id": "74994"}, {"ref": "colibri/classification-of-series", "kernel_id": "79425"}, {"ref": "n3wbie/notebook-e2bd7462465428e6ebe2", "kernel_id": "70068"}, {"ref": "sandeeppola/integerprogramming", "kernel_id": "75561"}, {"ref": "sandyscience/notebook-b348fd8c6d1cb03b8639", "kernel_id": "84740"}, {"ref": "cvikas/notebooka0a32acfa2", "kernel_id": "93604"}, {"ref": "berwin/notebook-4ef7782135296b9a8ab2", "kernel_id": "84589"}, {"ref": "anishmohan/notebookd2a239f7f7", "kernel_id": "110636"}, {"ref": "nolantj/notebook99360ced61", "kernel_id": "89576"}, {"ref": "alexeygruzdev/notebook-b4691e3f603f59ca1505", "kernel_id": "68785"}, {"ref": "alexeygruzdev/notebook-c064b2ce160f468b59dc", "kernel_id": "68783"}, {"ref": "pakree/notebook0f09558646", "kernel_id": "98579"}, {"ref": "arbaras/notebook-caae4d8a97e098ca7271", "kernel_id": "75079"}, {"ref": "abhishekdatascience/notebook3af2bdd9f5", "kernel_id": "86259"}, {"ref": "scollins/scollins-integer-sequence-learning", "kernel_id": "86082"}, {"ref": "kaneca/notebook9338952e36", "kernel_id": "90076"}, {"ref": "evolutioniskey/notebook-c332f4683f1559067773", "kernel_id": "69248"}, {"ref": "buaahsh/notebook-d5fed23953ed8e43d06f", "kernel_id": "80424"}, {"ref": "buaahsh/notebook-d4702e44a0fa3291659a", "kernel_id": "80425"}, {"ref": "buaahsh/notebook-bca83abe636fa4a6a67b", "kernel_id": "80426"}, {"ref": "buaahsh/notebook-ce5f5dc28e0ee0f72479", "kernel_id": "80633"}, {"ref": "buaahsh/recurrence-relation", "kernel_id": "80420"}, {"ref": "aniket0123/notebookb3a6087935", "kernel_id": "93667"}, {"ref": "sarath0210/notebook429eeb45b0", "kernel_id": "87324"}, {"ref": "steviekbd/newse", "kernel_id": "140873"}, {"ref": "ypargaien/recurrence-relation", "kernel_id": "103689"}, {"ref": "ymcdull/sample-submission", "kernel_id": "68269"}, {"ref": "shifanmao/first-model", "kernel_id": "90635"}, {"ref": "mkesselaers/notebook-5a3bb42bcf7ae3601782", "kernel_id": "84630"}, {"ref": "igorkleiner/analytic-combinatorics-to-rescue", "kernel_id": "87722"}, {"ref": "liziyuann/sequence-learning", "kernel_id": "74017"}, {"ref": "wildwizard/match-test-set-to-training-set", "kernel_id": "80655"}, {"ref": "robby75/notebook6310a677fe", "kernel_id": "87099"}, {"ref": "mtravers/notebookfcea696e39", "kernel_id": "99723"}, {"ref": "xchen0012/notebook-95ed81dae965e38f7c74", "kernel_id": "71175"}, {"ref": "xchen0012/notebook-99f46a4389630a8c8460", "kernel_id": "71176"}, {"ref": "enrique1500/predict-oeis-with-ngrams-2", "kernel_id": "89331"}, {"ref": "enrique1500/predict-oeis-with-ngrams-1", "kernel_id": "89311"}, {"ref": "enrique1500/oeis-combining-trivial-models", "kernel_id": "90627"}, {"ref": "enrique1500/oeis-ngram-exploration", "kernel_id": "84497"}, {"ref": "enrique1500/predict-oeis-with-markov-chains", "kernel_id": "80477"}, {"ref": "brezaie/notebook-9b1a71aefe93e2bf62d3", "kernel_id": "78544"}, {"ref": "brezaie/hello", "kernel_id": "78545"}, {"ref": "antediemterzium/integerss", "kernel_id": "75713"}, {"ref": "rohitgupta/recurrence-relation", "kernel_id": "74381"}, {"ref": "rohitgupta/notebook-2e254ceaae6006ff6283", "kernel_id": "74382"}, {"ref": "rohitgupta/notebook-86bd5b101b5b9ce121a8", "kernel_id": "74383"}, {"ref": "ashroxz/trial1", "kernel_id": "93179"}, {"ref": "nerdcat/sequence-prediction", "kernel_id": "106128"}, {"ref": "prakashanand/notebook-c195f067f70aa5eefe63", "kernel_id": "78176"}, {"ref": "prakashanand/firstintegersequence", "kernel_id": "78177"}, {"ref": "kisiro0/sequence-learning", "kernel_id": "77909"}, {"ref": "kisiro0/notebook-51421058b9851690d298", "kernel_id": "77910"}, {"ref": "hommayushi3/notebook-bfadb25edbd6586e6adb", "kernel_id": "73946"}, {"ref": "byadati/sample", "kernel_id": "87240"}, {"ref": "seshuthota/notebook62bcd21b53", "kernel_id": "89875"}, {"ref": "yinanxu/notebookb2d8fbe0e6", "kernel_id": "94152"}, {"ref": "csand1/prefixes-lookup-0-22", "kernel_id": "83968"}, {"ref": "ay1011/notebook-76fb87e2c46b97c5bf01", "kernel_id": "71225"}, {"ref": "ay1011/recurrence-relation", "kernel_id": "89874"}, {"ref": "bhavvishyya/recurrence-relation", "kernel_id": "93758"}, {"ref": "bhavvishyya/how-to-cheat", "kernel_id": "107779"}, {"ref": "unlikelybutpossible/notebook-4f0ce6407237aaac9fae", "kernel_id": "76185"}, {"ref": "unlikelybutpossible/mode-model-0-if-no-mode", "kernel_id": "76189"}, {"ref": "khalibartan/notebook-6533c40c1d3e3a94bf6f", "kernel_id": "78144"}, {"ref": "adamchuihk/notebook-d8473b9f693c1e4d5481", "kernel_id": "75307"}, {"ref": "navdeeppal/recurrence-relation", "kernel_id": "79489"}, {"ref": "vikramc/notebookde2fd00044", "kernel_id": "86050"}, {"ref": "apapiu/notebook-7d7ca1464661a04bb13d", "kernel_id": "78353"}, {"ref": "apapiu/notebookd83757a13c", "kernel_id": "107939"}, {"ref": "ncchen/recurrence-relation", "kernel_id": "72573"}, {"ref": "ncchen/match-test-set-to-training-set", "kernel_id": "77289"}, {"ref": "rsharipov/notebook-069a28c5b6ae57c7a059", "kernel_id": "77959"}, {"ref": "rsharipov/notebook-f5a7d3dc525ce72d2880", "kernel_id": "76689"}, {"ref": "rsharipov/test-try", "kernel_id": "76684"}, {"ref": "rsharipov/notebook-d1c369f17c0a74394f19", "kernel_id": "76685"}, {"ref": "rsharipov/notebook-2a03f3bb733823bf303d", "kernel_id": "76686"}, {"ref": "rsharipov/notebook-42dc589c7188ea89f38c", "kernel_id": "76687"}, {"ref": "emaninspace/sequences-features", "kernel_id": "81568"}, {"ref": "emaninspace/oeis-notebook", "kernel_id": "81569"}, {"ref": "emaninspace/notebook-ed36828af86c3758dde0", "kernel_id": "81571"}, {"ref": "isosnovik/recurrence-relation", "kernel_id": "73918"}, {"ref": "isosnovik/notebook-7dc61652f3e3cae39a3f", "kernel_id": "73273"}, {"ref": "isosnovik/notebook-9aa072e473f715ed4f5c", "kernel_id": "73275"}, {"ref": "isosnovik/sketch", "kernel_id": "73276"}, {"ref": "isosnovik/notebook-beed8d03b08e84680f0d", "kernel_id": "73322"}, {"ref": "amirahmadi/notebook-7d6c8bddccd8ea56eed5", "kernel_id": "69204"}, {"ref": "norpadon/notebook-2ffeda740badcb826323", "kernel_id": "69012"}, {"ref": "eidanch/my-try", "kernel_id": "99443"}, {"ref": "eidanch/notebook4005b925c9", "kernel_id": "99571"}, {"ref": "rprades/prefixes-lookup-0-22", "kernel_id": "88893"}, {"ref": "alykane/notebookf3314855a6", "kernel_id": "87353"}, {"ref": "popoago/notebooka0adda0b7e", "kernel_id": "95917"}, {"ref": "popoago/notebook697c19ae11", "kernel_id": "95731"}, {"ref": "wbjohnston/notebook-dffb3567782fc5297406", "kernel_id": "73353"}, {"ref": "lukeaanderso/lstm-integer-sequence-testing", "kernel_id": "71954"}, {"ref": "yhotdog/integers-sequences", "kernel_id": "88792"}, {"ref": "yhotdog/notebook833eae00a3", "kernel_id": "88793"}, {"ref": "yhotdog/notebookb6c8c8ce22", "kernel_id": "88794"}, {"ref": "yhotdog/integer-sequences", "kernel_id": "88795"}, {"ref": "yhotdog/notebookeb93df5386", "kernel_id": "88796"}, {"ref": "bankhv/prefixes-lookup-0-22", "kernel_id": "95599"}, {"ref": "franklin/notebook-a2015c63479c94393aba", "kernel_id": "84289"}, {"ref": "falight/notebook-c3e3ee4a308c496a68db", "kernel_id": "81831"}, {"ref": "drhunter/how-to-cheat", "kernel_id": "93651"}, {"ref": "erbahr/notebook38cac80f01", "kernel_id": "133231"}, {"ref": "erbahr/how-to-cheat", "kernel_id": "133239"}, {"ref": "pannalal/notebook3fe69360c6", "kernel_id": "131944"}, {"ref": "zstuwangrui/undefined", "kernel_id": "86190"}, {"ref": "zstuwangrui/notebook5fb2e012d6", "kernel_id": "86198"}, {"ref": "agnesr/notebook-65720cb36b7c14d2eef8", "kernel_id": "80327"}, {"ref": "iitrankit/ankit-submission1", "kernel_id": "99409"}, {"ref": "ncherel/notebook-dfab203346c92a8c9e83", "kernel_id": "77490"}, {"ref": "billchenxi/first", "kernel_id": "73172"}, {"ref": "mohit2593/notebook8f41395740", "kernel_id": "102880"}, {"ref": "arjoonn/notebook-67df202d46839d1bbfd8", "kernel_id": "80962"}, {"ref": "rsuzuki/z-score", "kernel_id": "134686"}, {"ref": "beebeed/notebook-bf51d489bf6162700e5f", "kernel_id": "77949"}, {"ref": "beebeed/notebook-2d28054831153fd76049", "kernel_id": "77951"}, {"ref": "leexiongan/recurrence-relation", "kernel_id": "77410"}, {"ref": "vibharohilla/integer", "kernel_id": "91774"}, {"ref": "xsardas/notebook24cb34deb9", "kernel_id": "90885"}, {"ref": "xsardas/sequence-prediction", "kernel_id": "90891"}, {"ref": "nicobm/notebook-4b42ae8eb412bf7f6abe", "kernel_id": "68655"}, {"ref": "mlanier/predict-oeis-with-markov-chains", "kernel_id": "85332"}, {"ref": "arunsadhasivam/integerseq", "kernel_id": "75698"}, {"ref": "postrocker/rbf-svr", "kernel_id": "71321"}, {"ref": "burakyilmaz321/notebook-438e5d5baf58e70144b6", "kernel_id": "75706"}, {"ref": "georgej/first-predictor", "kernel_id": "90636"}, {"ref": "spiritbrave/notebookb960c5403e", "kernel_id": "100645"}, {"ref": "ben32768/ratio-approach", "kernel_id": "85131"}, {"ref": "ben32768/notebook-84b91a6acb7387647187", "kernel_id": "80207"}, {"ref": "aeithne/julia-sudoku-16", "kernel_id": "72859"}, {"ref": "aeithne/notebook-d6758288c00e1fd60ac5", "kernel_id": "72849"}, {"ref": "aeithne/notebook-3edf80599d8be0ed074d", "kernel_id": "72850"}, {"ref": "adrianprayoga/notebooke72f3bb1ec", "kernel_id": "216725"}, {"ref": "bencongdon/notebook474e8288ad", "kernel_id": "93503"}, {"ref": "abhiagwl1010/notebook891a98eab9", "kernel_id": "95494"}, {"ref": "pahuwile/notebook93ea08bd23", "kernel_id": "91863"}, {"ref": "arnabbir/how-to-cheat", "kernel_id": "149679"}, {"ref": "zeyingguo/notebook-5e961c6111520b3c290f", "kernel_id": "68475"}, {"ref": "chnitish/linear-correlation", "kernel_id": "166700"}, {"ref": "gpvd28/match-test-set-to-training-set", "kernel_id": "81332"}, {"ref": "teoguso/number-sequence-try-1", "kernel_id": "91535"}, {"ref": "ferden/summation", "kernel_id": "517383"}, {"ref": "kevogich/notebook-fb7644581b0b395543aa", "kernel_id": "75182"}, {"ref": "kevogich/sample-submission", "kernel_id": "75173"}, {"ref": "guiferviz/gui-visualize-sequences", "kernel_id": "83854"}, {"ref": "arvindleela/notebook-ae795582303ae00e067c", "kernel_id": "76620"}, {"ref": "chaithanya1996/applying-gam", "kernel_id": "69319"}, {"ref": "jihyeseo/integer-sequence-learning-eda", "kernel_id": "956549"}, {"ref": "rosenx/zero-test", "kernel_id": "94381"}, {"ref": "rosenx/notebookd3d2a139e0", "kernel_id": "94362"}, {"ref": "delillie/notebook-4698dec38bc24dfe6be8", "kernel_id": "70979"}, {"ref": "delillie/my-seq", "kernel_id": "70974"}, {"ref": "hars93/notebook43aeb9be55", "kernel_id": "85968"}, {"ref": "raviraj/notebook11646ad36b", "kernel_id": "95673"}, {"ref": "imamatif/test-py", "kernel_id": "103871"}, {"ref": "prajnya/integer-sequence-try1", "kernel_id": "93278"}, {"ref": "xiaotuzuoshuju/notebook-2d059ce3a74f497b610c", "kernel_id": "82805"}, {"ref": "harshanand007/sequence-learning", "kernel_id": "77209"}, {"ref": "garethjns/classifying-tagging-sequences", "kernel_id": "91358"}, {"ref": "garethjns/linearfitsr", "kernel_id": "78194"}, {"ref": "joeltaylor/notebookceb61a9ba1", "kernel_id": "88431"}, {"ref": "joeltaylor/notebook886a96b264", "kernel_id": "88427"}, {"ref": "joeltaylor/notebook639e70b6da", "kernel_id": "88428"}, {"ref": "nelly2k/notebook-de05c97298786dbf0160", "kernel_id": "69183"}, {"ref": "shreyassrp/nnetwork-test", "kernel_id": "101019"}, {"ref": "shreyassrp/ghhgg", "kernel_id": "101289"}, {"ref": "shreyassrp/linear-regression-2", "kernel_id": "103034"}, {"ref": "aklandi/attempt-2-at-uploading-script", "kernel_id": "70014"}, {"ref": "jonathanngo/notebook45d01def96", "kernel_id": "94787"}, {"ref": "akanksha07/notebook3af64e77fa", "kernel_id": "86030"}, {"ref": "atsushirs/sequence-learning", "kernel_id": "102892"}, {"ref": "headliner/notebook-8e34ebc28d8ab197d82c", "kernel_id": "77710"}, {"ref": "wythend/prefixes-lookup-0-22", "kernel_id": "87795"}, {"ref": "wythend/match-test-set-to-training-set", "kernel_id": "87799"}, {"ref": "malamute/notebook-586955cea033abbae82f", "kernel_id": "69157"}, {"ref": "malamute/integer-seq1", "kernel_id": "69153"}, {"ref": "cnheider/prefixes-lookup-0-22", "kernel_id": "91641"}, {"ref": "overseer66/testcode", "kernel_id": "107898"}, {"ref": "overseer66/notebookbc5160f8c0", "kernel_id": "107915"}, {"ref": "xellos/notebook-3d63a5130ea4873ee414", "kernel_id": "80476"}, {"ref": "tiggi74/sequence-guesser", "kernel_id": "94592"}, {"ref": "mjmeli/notebook-81e3b855da195ba99b12", "kernel_id": "81170"}, {"ref": "mathrulestheworld/notebookfea718a446", "kernel_id": "92083"}, {"ref": "lancelot1969/prefixes-lookup-0-22", "kernel_id": "88102"}, {"ref": "afshinamiri/notebook59d1ac527a", "kernel_id": "86781"}, {"ref": "afshinamiri/notebook6a3580de0e", "kernel_id": "86782"}, {"ref": "vishal090/integer-seq-090", "kernel_id": "74498"}, {"ref": "keisei/notebook-74b37b95f91dae66afbc", "kernel_id": "82135"}, {"ref": "rayed19/integers", "kernel_id": "68241"}, {"ref": "argsno/notebook4ccb392d0a", "kernel_id": "121891"}, {"ref": "marcusborela/recurrence-relation", "kernel_id": "85750"}, {"ref": "yatesmv/integer-sequence-learning-an-intro", "kernel_id": "77978"}, {"ref": "tkanek/aaadsa", "kernel_id": "91011"}, {"ref": "saket1986/test-sequence", "kernel_id": "73905"}, {"ref": "saket1986/tsesdgfas", "kernel_id": "73909"}, {"ref": "jianyao/notebooka9c6c06b66", "kernel_id": "95114"}, {"ref": "josearuiperez/notebook-831e8f63f429db7db07d", "kernel_id": "79037"}, {"ref": "iory0710/notebookf23902b1ba", "kernel_id": "103889"}, {"ref": "christodieu/prefixes-lookup-0-22", "kernel_id": "98448"}, {"ref": "megaherz/naive-polinomical-prediction", "kernel_id": "82218"}, {"ref": "megaherz/notebook-3ea1f230879b7d0b0dd5", "kernel_id": "82272"}, {"ref": "juliojaavier/sequence-learning", "kernel_id": "73470"}, {"ref": "edebrouwer/integers-sequence", "kernel_id": "95496"}, {"ref": "jhy1993/time-series-prediction", "kernel_id": "194030"}, {"ref": "jhy1993/notebookdb718f5f5c", "kernel_id": "194021"}, {"ref": "saustar/notebook-e1ca84c3444ec8ec8b9e", "kernel_id": "74067"}, {"ref": "nag3113/notebook-b84e545ba567fa2a713f", "kernel_id": "75054"}, {"ref": "ssaatya/integer-sequence-notebook", "kernel_id": "76145"}, {"ref": "collinol10/notebook-2fc7421b31e87d80756d", "kernel_id": "81070"}, {"ref": "collinol10/recurrence-relation", "kernel_id": "81068"}, {"ref": "collinol10/notebook-3127151d3d3ed0211e20", "kernel_id": "81073"}, {"ref": "collinol10/notebook-b368b9379096635ab968", "kernel_id": "81074"}, {"ref": "collinol10/loop-for-sequences-with-order-4", "kernel_id": "81075"}, {"ref": "collinol10/notebook-166e7c194701a7f02f97", "kernel_id": "81076"}, {"ref": "collinol10/notebook-95273635f2b7d022a087", "kernel_id": "81077"}, {"ref": "collinol10/notebook-3f4e22f677a20e4dbd40", "kernel_id": "81083"}, {"ref": "collinol10/notebook-12ec382c2ac8020651bf", "kernel_id": "81084"}, {"ref": "cupello/notebook8681d26866", "kernel_id": "92541"}, {"ref": "marcusdelrio/integer-squence", "kernel_id": "103590"}, {"ref": "kkoojj/notebook-242af24967323868a034", "kernel_id": "77921"}, {"ref": "balzac/notebook-1e00bab38258281db5e2", "kernel_id": "79333"}, {"ref": "balzac/prefixes-lookup-0-22", "kernel_id": "78451"}, {"ref": "parsashams/notebook-4a3dd269a14321330a3c", "kernel_id": "78815"}, {"ref": "parsashams/notebook-54c6fffdeaf54c52cfc9", "kernel_id": "78816"}, {"ref": "hakobyant/notebook-3c940dbf0b3158868be5", "kernel_id": "79872"}, {"ref": "skywoods2001/notebookde5a59c35b", "kernel_id": "166596"}, {"ref": "maogcnu/prefixes-lookup-0-22", "kernel_id": "91677"}, {"ref": "xiaoranone/integet-sequence", "kernel_id": "246706"}, {"ref": "xiaoranone/notebookc7a3ec0208", "kernel_id": "246703"}, {"ref": "remibhai/oeis-experiments", "kernel_id": "106524"}, {"ref": "mashfaq/sequenceproject", "kernel_id": "81522"}, {"ref": "mashfaq/notebook7e78fed851", "kernel_id": "85657"}, {"ref": "mvandenm/jjjjjjj", "kernel_id": "99681"}, {"ref": "witchu/notebook-dd0d8cd13a6139759b67", "kernel_id": "82034"}, {"ref": "godkad/notebook-6e54903248af9c3c7f45", "kernel_id": "82125"}, {"ref": "ashutosh153/notebook2a34ea5518", "kernel_id": "90045"}, {"ref": "mimilucky123/sequence", "kernel_id": "93226"}, {"ref": "acyouzi/match-test-set-to-training-set", "kernel_id": "90744"}, {"ref": "gogolsnose/test1-noidea", "kernel_id": "85722"}, {"ref": "robklay/notebook2058d97219", "kernel_id": "86165"}, {"ref": "fengnima/first-try", "kernel_id": "97155"}, {"ref": "kawalmaras/aaaaa", "kernel_id": "98763"}, {"ref": "apacheneo/hello-world", "kernel_id": "87500"}, {"ref": "aristarkh4/linear-regression-within-1-test-sequence", "kernel_id": "98651"}, {"ref": "saurabhsharma/notebook37646af4b6", "kernel_id": "88216"}, {"ref": "cookly2016/notebookb0bd8ce28d", "kernel_id": "88654"}, {"ref": "bytekiller/testrun", "kernel_id": "90973"}, {"ref": "peatschmo/notebookaa582deb13", "kernel_id": "93452"}, {"ref": "dwlink/aaaaa", "kernel_id": "91849"}, {"ref": "gophys/interger", "kernel_id": "90016"}, {"ref": "rorsas2013g/recurrence-relation", "kernel_id": "91250"}, {"ref": "tejasbob/notebookb3a108d612", "kernel_id": "91332"}, {"ref": "ckljohn/notebook20fb6e159d", "kernel_id": "91521"}, {"ref": "akanksha95/notebook78af3b5a34", "kernel_id": "91765"}, {"ref": "namluu/sequence-number", "kernel_id": "111868"}, {"ref": "kitsonng/notebook857b5c1dff", "kernel_id": "92000"}, {"ref": "zhangzhiqian/mytry-1", "kernel_id": "97903"}, {"ref": "javiervlab/integer-sequences-and-machine-learning", "kernel_id": "107366"}, {"ref": "inderpartap15/recurrence-relation", "kernel_id": "243287"}, {"ref": "inderpartap15/linear-models-0-13972", "kernel_id": "243260"}, {"ref": "inderpartap15/linear-model", "kernel_id": "243271"}, {"ref": "inderpartap15/predict-oeis-with-markov-chains", "kernel_id": "243292"}, {"ref": "avasil/int-seq", "kernel_id": "94375"}, {"ref": "zerafachris/integer-sequence-r", "kernel_id": "94079"}, {"ref": "vicomedina/notebookc6225eebc3", "kernel_id": "94501"}, {"ref": "psramkumar25/notebook-integer-sequence", "kernel_id": "94607"}, {"ref": "jiashenliu/notebook308f628d16", "kernel_id": "103316"}, {"ref": "xiao22/notebook461916f992", "kernel_id": "96322"}, {"ref": "yrowe483/demo1", "kernel_id": "99374"}, {"ref": "dokteurwho/notebookededf47bb4", "kernel_id": "115615"}, {"ref": "satwik77/test-script", "kernel_id": "104234"}, {"ref": "suruili/simple-ngram-with-python-and-no-lib", "kernel_id": "100533"}, {"ref": "suruili/testw", "kernel_id": "100530"}, {"ref": "suruili/match-test-set-to-training-set", "kernel_id": "100547"}, {"ref": "zweicoder/notebook32fd02079c", "kernel_id": "98467"}, {"ref": "a1ibeyram/integer-squence", "kernel_id": "98636"}, {"ref": "vazria/test1", "kernel_id": "101676"}, {"ref": "aseth27/notebook19e27cc67b", "kernel_id": "101866"}, {"ref": "jgonzd/recurrence-relation", "kernel_id": "102022"}, {"ref": "akash0/recurrence-relation", "kernel_id": "104925"}, {"ref": "knighthawk989/notebook4999196a89", "kernel_id": "203106"}, {"ref": "bartolomeo/notebookd588f3721b", "kernel_id": "108618"}, {"ref": "bartolomeo/first", "kernel_id": "108605"}, {"ref": "murgev/recurrence-relation", "kernel_id": "110914"}, {"ref": "ankushreddy/recurrence-relation", "kernel_id": "160541"}, {"ref": "bromine/recurrence-relation", "kernel_id": "187463"}, {"ref": "alnassirah/notebookef787586b2", "kernel_id": "198915"}, {"ref": "hconner2/notebook8e1fffdbfe", "kernel_id": "240907"}, {"ref": "l19922017/notebook3a90360f0f", "kernel_id": "234207"}, {"ref": "cookieshake/notebooka49609a476", "kernel_id": "220878"}, {"ref": "simosini/notebook20767caaa3", "kernel_id": "233998"}, {"ref": "hankpeng03/notebookca5ce73e1f", "kernel_id": "231350"}, {"ref": "dksush/notebookb3738dadf8", "kernel_id": "229996"}, {"ref": "huijunzhao/notebook5e16c93e17", "kernel_id": "234215"}, {"ref": "huijunzhao/notebook6b993adc59", "kernel_id": "234186"}, {"ref": "huijunzhao/integer-sequence-learning-04-2017", "kernel_id": "234189"}, {"ref": "wikkefly/notebook0ff0f029a1", "kernel_id": "280606"}, {"ref": "nehasajid/linear-recurrence-relations", "kernel_id": "270249"}, {"ref": "andreysolvyov/integer-sequence-learning-homework", "kernel_id": "5298026"}, {"ref": "bcantt/sequence-learning", "kernel_id": "7388783"}]}
{"competition_id": "5315", "kernels": [{"ref": "ucfaibot/supplementary-sp20-stats-intro", "kernel_id": "7865929"}, {"ref": "ameerhamzaabbas/boston-house-price-prediction-model-comparison", "kernel_id": "106018750"}]}
{"competition_id": "5320", "kernels": []}
{"competition_id": "5321", "kernels": []}
{"competition_id": "5325", "kernels": [{"ref": "anandjeyahar/exploratory-study-on-ml-algorithms", "kernel_id": "181015"}, {"ref": "benhamner/notebook500cccded9", "kernel_id": "104585"}, {"ref": "wcukierski/test-input-files", "kernel_id": "103932"}, {"ref": "zachmayer/notebook5d30828d0f", "kernel_id": "106981"}, {"ref": "mattvonrohr/stacking-starter", "kernel_id": "104225"}, {"ref": "sirguessalot/stacking-starter", "kernel_id": "104209"}, {"ref": "unmesh/exploratory-study-on-ml-algorithms", "kernel_id": "201961"}, {"ref": "guyko81/just-an-easy-solution", "kernel_id": "104372"}, {"ref": "guyko81/just-an-easy-solution-code", "kernel_id": "104456"}, {"ref": "guyko81/help-xgboost-with-ordinal-variables-1138-56", "kernel_id": "104824"}, {"ref": "guyko81/help-our-xgboost-with-better-inputs-code", "kernel_id": "104912"}, {"ref": "guyko81/notebookf654654fdax", "kernel_id": "104955"}, {"ref": "guyko81/notebookf9b0a27052", "kernel_id": "106784"}, {"ref": "guyko81/state-of-all-the-allstate-states", "kernel_id": "107239"}, {"ref": "guyko81/category-trick-plus-early-stop", "kernel_id": "108347"}, {"ref": "jeffstahler/simple-eda-feature-transformations", "kernel_id": "129801"}, {"ref": "aaboyles/just-an-easy-solution", "kernel_id": "104590"}, {"ref": "aaboyles/beginner-friendly-simple-linear-regression", "kernel_id": "107342"}, {"ref": "aaboyles/golfsolution-py", "kernel_id": "107374"}, {"ref": "dewadkar/notebook620bf46898", "kernel_id": "104874"}, {"ref": "nit254/exploratory-study-on-ml-algorithms", "kernel_id": "136198"}, {"ref": "nigelcarpenter/markov-chain-monte-carlo", "kernel_id": "122730"}, {"ref": "nigelcarpenter/r-script-scoring-1113-93-on-plb", "kernel_id": "118932"}, {"ref": "nigelcarpenter/farons-xgb-starter-ported-to-r", "kernel_id": "105124"}, {"ref": "nigelcarpenter/xgb1113", "kernel_id": "111048"}, {"ref": "zhukov/simple-xgboost", "kernel_id": "105381"}, {"ref": "ab90hi/rf-trial", "kernel_id": "105869"}, {"ref": "lucamassaron/mixing-up-things", "kernel_id": "103965"}, {"ref": "n3n77i/j-ins-ii", "kernel_id": "106688"}, {"ref": "n3n77i/j-insure-starter", "kernel_id": "106339"}, {"ref": "jeongyoonlee/notebooka832a28d1c", "kernel_id": "133381"}, {"ref": "msukmanowsky/notebook8ac63a375c", "kernel_id": "104091"}, {"ref": "aschlapsi/the-first-kaggle-submission", "kernel_id": "105529"}, {"ref": "tjungblut/xgboost-starter-allstate", "kernel_id": "104987"}, {"ref": "mmanishp/sample-r", "kernel_id": "132044"}, {"ref": "wodecaoxin/exploratory-study-on-ml-algorithms", "kernel_id": "197783"}, {"ref": "amitchandak/exploratory-study-on-ml-algorithms", "kernel_id": "208016"}, {"ref": "luciferase/xgb-lb-1126", "kernel_id": "104264"}, {"ref": "luciferase/installed-r-package-list", "kernel_id": "255254"}, {"ref": "tobikaggle/markov-chain-monte-carlo", "kernel_id": "132472"}, {"ref": "tobikaggle/xgb1113", "kernel_id": "134495"}, {"ref": "tobikaggle/weighted-average-ensembles-and-genetic-algorithms", "kernel_id": "134760"}, {"ref": "tobikaggle/weighted-average-ensambles-with-1-layer-n-networks", "kernel_id": "134762"}, {"ref": "tobikaggle/xgb-lb-1106-33084", "kernel_id": "130747"}, {"ref": "tobikaggle/keras-starter-with-bagging-lb-1120-596", "kernel_id": "109855"}, {"ref": "tobikaggle/h2o-dnn-averaging-in-r", "kernel_id": "109866"}, {"ref": "tobikaggle/h20-regression-ensemble-r", "kernel_id": "115083"}, {"ref": "tobikaggle/beat-the-random-forest", "kernel_id": "106068"}, {"ref": "tobikaggle/beat-rf", "kernel_id": "106121"}, {"ref": "tobikaggle/notebook4161f36f7a", "kernel_id": "106063"}, {"ref": "thakurrajanand/bias-correction-xgboost", "kernel_id": "106457"}, {"ref": "thakurrajanand/xgb-lb-1106-33084", "kernel_id": "126694"}, {"ref": "liamsch/keras-nn-autoencoder", "kernel_id": "105134"}, {"ref": "liamsch/keras-neural-net", "kernel_id": "105058"}, {"ref": "liamsch/python-keras-neuralnet", "kernel_id": "105085"}, {"ref": "aconsapart/notebookbe64aab433", "kernel_id": "122732"}, {"ref": "punyaveenapalai/exploratory-study-on-ml-algorithms", "kernel_id": "112439"}, {"ref": "tanopereira/prep-data-for-lightgbm-using-vtreat", "kernel_id": "107308"}, {"ref": "spanny/notebook76a970cf1d", "kernel_id": "104107"}, {"ref": "julienpantz/notebook5adc32c9c0", "kernel_id": "114810"}, {"ref": "julienpantz/xgboost", "kernel_id": "114808"}, {"ref": "julienpantz/notebookaf3c0ec02f", "kernel_id": "114701"}, {"ref": "julienpantz/regression", "kernel_id": "109470"}, {"ref": "pganguli/my-first-attempt", "kernel_id": "124247"}, {"ref": "pganguli/notebook5a61f744f8", "kernel_id": "104778"}, {"ref": "kumareshd/tryh2o", "kernel_id": "108458"}, {"ref": "kumareshd/different-methods-using-h2o-using-r", "kernel_id": "108782"}, {"ref": "kumareshd/performance-of-different-methods-in-r-using-h2o", "kernel_id": "108785"}, {"ref": "kumareshd/yet-another-xgb-starter", "kernel_id": "104414"}, {"ref": "kumareshd/wasting-time", "kernel_id": "115709"}, {"ref": "kumareshd/wasting-time-2", "kernel_id": "115712"}, {"ref": "casalicchio/tuning-the-parameter-of-a-custom-objective-1120", "kernel_id": "108271"}, {"ref": "adrienle/exploratory-study-on-ml-algorithms", "kernel_id": "124617"}, {"ref": "patricknicholson/notebook29ba0b63b4", "kernel_id": "117447"}, {"ref": "anirbanlahiri/notebooka5f2f4d06b", "kernel_id": "108311"}, {"ref": "anirbanlahiri/allstate-using-xgboost", "kernel_id": "108312"}, {"ref": "davidbuchaca/notebook80394b288f", "kernel_id": "105520"}, {"ref": "valadi/bias-correction-xgboost-forked", "kernel_id": "107887"}, {"ref": "valadi/bias-correction-xgboost-folds2", "kernel_id": "107948"}, {"ref": "valadi/singel-model-lb-1117-jaya-mod", "kernel_id": "109994"}, {"ref": "phcostello/first-notebook", "kernel_id": "112117"}, {"ref": "gynagy/exploratory-study-on-ml-algorithms", "kernel_id": "204370"}, {"ref": "snassimr/xgb-lb-1106-33084", "kernel_id": "132318"}, {"ref": "andrewstewart/exploratory-study-on-ml-algorithms", "kernel_id": "252999"}, {"ref": "scottbradshaw/notebook8b1afce93c", "kernel_id": "115563"}, {"ref": "itodorovic/yet-another-xgb-starter", "kernel_id": "108132"}, {"ref": "itodorovic/boxcox-ed", "kernel_id": "108107"}, {"ref": "stevecook/notebook9e8de67614", "kernel_id": "104229"}, {"ref": "kmader/auto-ml-with-teapot", "kernel_id": "216881"}, {"ref": "kmader/simple-embeddings-attempt", "kernel_id": "395177"}, {"ref": "kmader/using-lstms-to-read-categories", "kernel_id": "395670"}, {"ref": "tallsmile/notebookb0e23c3fd6", "kernel_id": "104356"}, {"ref": "marktrovinger/just-an-easy-solution", "kernel_id": "107597"}, {"ref": "parthibangowthaman/help-xgboost-with-ordinal-variables-1138-56", "kernel_id": "105471"}, {"ref": "parthibangowthaman/singel-model-lb-1117", "kernel_id": "109962"}, {"ref": "parthibangowthaman/keras-starter-with-bagging-1111-84364kkk", "kernel_id": "120645"}, {"ref": "agrawalvikas/regression", "kernel_id": "110585"}, {"ref": "agrawalvikas/r-h2o-dnn-averaging", "kernel_id": "115991"}, {"ref": "richardajpr/exploratory-study-on-ml-algorithms", "kernel_id": "108091"}, {"ref": "sanghee870101/notebookc1fc45877c", "kernel_id": "105301"}, {"ref": "travisglines/exploratory-study-on-ml-algorithms", "kernel_id": "121804"}, {"ref": "dchaimow/xgb-lb-1106-33084", "kernel_id": "131158"}, {"ref": "siddharthvashishth/exploratory-study-on-ml-algorithms", "kernel_id": "133581"}, {"ref": "remysaissy/exploratory-study-on-ml-algorithms", "kernel_id": "166375"}, {"ref": "dsoreo/data-exploration-1", "kernel_id": "104386"}, {"ref": "jatinjindal/allstate-feature-analysis-python", "kernel_id": "105967"}, {"ref": "anujkh/prog-pyth2", "kernel_id": "129184"}, {"ref": "aramis/no-no-no", "kernel_id": "104779"}, {"ref": "aramis/simple-h2o-starter-script", "kernel_id": "104788"}, {"ref": "santiagomota/keras-with-tensorflow-backend", "kernel_id": "108855"}, {"ref": "nagpaul/notebook54e5ade493", "kernel_id": "124100"}, {"ref": "svendegroeve/allstate-feature-analysis-python", "kernel_id": "105560"}, {"ref": "mrooijer/notebookb238ddb158", "kernel_id": "132050"}, {"ref": "oostopitre/notebook388e30fcb5", "kernel_id": "120374"}, {"ref": "oostopitre/exploratory-study-on-ml-algorithms", "kernel_id": "120263"}, {"ref": "zactuary/zactuary-test", "kernel_id": "108997"}, {"ref": "harrystrange/notebook7c0497a78f", "kernel_id": "104301"}, {"ref": "whysocurious/notebookd2c5f3b58f", "kernel_id": "106134"}, {"ref": "whysocurious/notebook63bfeafabd", "kernel_id": "106172"}, {"ref": "akilaw/encoding-feature-comb-modkzs-1108-72665", "kernel_id": "120456"}, {"ref": "sumitl/exploratory-study-on-ml-algorithms", "kernel_id": "113369"}, {"ref": "ashish09/notebook7188cf11f0", "kernel_id": "106264"}, {"ref": "techshiba/notebook79b9e8737e", "kernel_id": "111948"}, {"ref": "genkiro/exploratory-study-on-ml-algorithms", "kernel_id": "186081"}, {"ref": "genkiro/exploratory-study-on-ml-algorithms-97e7ea", "kernel_id": "186320"}, {"ref": "tgquintela/exploratory-study-on-ml-algorithms", "kernel_id": "245099"}, {"ref": "rushadre/notebook0396ac10c4", "kernel_id": "161457"}, {"ref": "rushadre/notebook76fbe7313c", "kernel_id": "159217"}, {"ref": "leolau/notebook4ebd858b98", "kernel_id": "116621"}, {"ref": "sgreben/notebooke65011bd28", "kernel_id": "109202"}, {"ref": "oo7feynman/exploratory-study-on-ml-algorithms", "kernel_id": "153180"}, {"ref": "zaxcie/notebook05e16b0e3b", "kernel_id": "105630"}, {"ref": "manu007/exploratory-study-on-ml-algorithms-078e3877", "kernel_id": "166725"}, {"ref": "manu007/exploratory-study-on-ml-algorithms", "kernel_id": "161458"}, {"ref": "tkrajesh/exploratory-study-on-ml-algorithms-7d3e774a", "kernel_id": "141485"}, {"ref": "tkrajesh/exploratory-study-on-ml-algorithms", "kernel_id": "141436"}, {"ref": "harishbchalam204/notebook5329c1ed41", "kernel_id": "105303"}, {"ref": "avishek/allstate-eda-14102016", "kernel_id": "105709"}, {"ref": "avishek/xgb-lb-1106-33084-just-tryin", "kernel_id": "126485"}, {"ref": "rjworth/notebook65f8a75bde", "kernel_id": "111458"}, {"ref": "paintnp/exploratory-study-on-ml-algorithms", "kernel_id": "107329"}, {"ref": "stegben/visualizing-mean-loss-per-feature-value", "kernel_id": "111427"}, {"ref": "stegben/visualize-loss-count-per-feature", "kernel_id": "111437"}, {"ref": "yadunath/explore", "kernel_id": "105234"}, {"ref": "seijikumagai/notebookfed90c724e", "kernel_id": "122307"}, {"ref": "sonuk7/notebook34dffbc381", "kernel_id": "105765"}, {"ref": "sonuk7/notebook13d831d845", "kernel_id": "105523"}, {"ref": "sonuk7/random-forest-regression", "kernel_id": "105580"}, {"ref": "sonuk7/benchmarking", "kernel_id": "104958"}, {"ref": "sonuk7/notebook84c4f060f7", "kernel_id": "108878"}, {"ref": "sonuk7/notebook3d312a33c3", "kernel_id": "107668"}, {"ref": "lewuathe/notebook601b43caaa", "kernel_id": "119598"}, {"ref": "s4sarath/simple-eda-feature-transformations", "kernel_id": "116961"}, {"ref": "ewald1/allstate-feature-analysis-python", "kernel_id": "105344"}, {"ref": "piero111/singel-model-lb-1117", "kernel_id": "114367"}, {"ref": "sidraina89/allstate-competition", "kernel_id": "104101"}, {"ref": "codadams/allstate-py", "kernel_id": "106938"}, {"ref": "codadams/notebook108ca68006", "kernel_id": "106939"}, {"ref": "bhushankhandelwal/bias-corr-xgb", "kernel_id": "107935"}, {"ref": "bhushankhandelwal/notebook3dc9fe5234", "kernel_id": "106201"}, {"ref": "slon1024/notebookefda3cc12d", "kernel_id": "134794"}, {"ref": "denisgordeev/just-an-easy-solution", "kernel_id": "104651"}, {"ref": "vineethraghav/notebook53f048f7b5", "kernel_id": "111180"}, {"ref": "ahaque/notebook02cdeb3888", "kernel_id": "116448"}, {"ref": "varunnambiar/notebook9420c6cf66", "kernel_id": "105249"}, {"ref": "vishnus/allstate-eda", "kernel_id": "109500"}, {"ref": "andyshu/notebook39fa1df0b2", "kernel_id": "122340"}, {"ref": "lilyelizabethjohn/exploratory-study-on-ml-algorithms", "kernel_id": "123462"}, {"ref": "jpicado/exploratory-study-on-ml-algorithms", "kernel_id": "111614"}, {"ref": "dhegde/notebooke42ceb3a1a", "kernel_id": "109819"}, {"ref": "jobrown/exploratory-study-on-ml-algorithms", "kernel_id": "110705"}, {"ref": "wjnkerst/notebookc186b1607b", "kernel_id": "109146"}, {"ref": "wjnkerst/notebook06a6fc02b8", "kernel_id": "109522"}, {"ref": "wjnkerst/testq1", "kernel_id": "108586"}, {"ref": "wjnkerst/notebook3490f68424", "kernel_id": "108587"}, {"ref": "muhpt4/simple-eda-feature-transformations", "kernel_id": "123086"}, {"ref": "minsups/exploratory-study-on-ml-algorithms", "kernel_id": "117484"}, {"ref": "shubhamgoel27/notebook33c774455b", "kernel_id": "116315"}, {"ref": "jahchaisang/notebookd1324fba50", "kernel_id": "254206"}, {"ref": "priyaananthram/notebook93662a7c6c", "kernel_id": "124184"}, {"ref": "eggeggsuperman/fgfgf", "kernel_id": "112429"}, {"ref": "kvetch/test1", "kernel_id": "123291"}, {"ref": "yamaherff/notebook353ef58d56", "kernel_id": "104120"}, {"ref": "danijelk/keras-starter-with-bagging-lb-1120-596", "kernel_id": "106312"}, {"ref": "harneetsingh/exploratory-study-on-ml-algorithms", "kernel_id": "198218"}, {"ref": "mlbnn2016/exploratory-study-on-ml-algorithms", "kernel_id": "254327"}, {"ref": "andychopra/notebook9fc6e18f8d", "kernel_id": "109383"}, {"ref": "bansal98/yet-another-xgb-starter", "kernel_id": "104435"}, {"ref": "namesj/exploratory-study-on-ml-algorithms-37cb66b2", "kernel_id": "116972"}, {"ref": "namesj/exploratory-study-on-ml-algorithms", "kernel_id": "109539"}, {"ref": "jeffhebert/installed-r-packages", "kernel_id": "134535"}, {"ref": "jeffhebert/installed-r-package-list", "kernel_id": "134538"}, {"ref": "giladamar/just-an-easy-solution", "kernel_id": "115165"}, {"ref": "pshishkin/notebook5d0423b0ee", "kernel_id": "113556"}, {"ref": "rakira/all-state-itr1", "kernel_id": "128719"}, {"ref": "datadiger/linear-regression-on-important-variables", "kernel_id": "214585"}, {"ref": "benybrahim/notebook6e7ff99f98", "kernel_id": "112056"}, {"ref": "divyanshusuri/simple-xgb-in-r", "kernel_id": "104875"}, {"ref": "divyanshusuri/just-an-easy-solution", "kernel_id": "104848"}, {"ref": "divyanshusuri/svr-lb-score-1128-21", "kernel_id": "124768"}, {"ref": "prashantjoshi/exploratory-study-on-ml-algorithms", "kernel_id": "118636"}, {"ref": "yuqingxue/beginner-friendly-simple-linear-regression", "kernel_id": "110085"}, {"ref": "dataninja2014/farons-xgb-starter-ported-to-r", "kernel_id": "153776"}, {"ref": "weimin/keras-starter-with-bagging-1111-84364", "kernel_id": "115154"}, {"ref": "weimin/simple-eda-feature-transformations", "kernel_id": "117602"}, {"ref": "pierluca/exploratory-study-on-ml-algorithms", "kernel_id": "115285"}, {"ref": "zhiliweng/test2", "kernel_id": "107241"}, {"ref": "cherry86222/notebooka1b6e9c63e", "kernel_id": "105109"}, {"ref": "junghoyeom/notebook84743f88cc", "kernel_id": "141512"}, {"ref": "william007/exploratory-study-on-ml-algorithms", "kernel_id": "180902"}, {"ref": "william007/exploratory-study-on-ml-algorithms-54a0bb22", "kernel_id": "180903"}, {"ref": "agarwalgopi/gopiallstate", "kernel_id": "109149"}, {"ref": "agarwalgopi/exploratory-study-on-ml-algorithms", "kernel_id": "109154"}, {"ref": "samrotashoka/my-first-kernel", "kernel_id": "134606"}, {"ref": "samrotashoka/notebookab63b50129", "kernel_id": "134752"}, {"ref": "samrotashoka/notebook1390d53726", "kernel_id": "134758"}, {"ref": "samrotashoka/singel-model-lb-1117", "kernel_id": "123164"}, {"ref": "ksjpswaroop/notebook0204b2f101", "kernel_id": "107807"}, {"ref": "mmueller/categorical-embedding-with-xgb", "kernel_id": "136604"}, {"ref": "mmueller/yet-another-xgb-starter", "kernel_id": "103958"}, {"ref": "mmueller/stacking-starter", "kernel_id": "104009"}, {"ref": "liamdamewood/exploratory-study-on-ml-algorithms", "kernel_id": "152986"}, {"ref": "mgbeingcreative/notebooka0a020d47f", "kernel_id": "109038"}, {"ref": "tejainece/linear-regression", "kernel_id": "202879"}, {"ref": "fireiceearth/exploratory-study-on-ml-algorithms", "kernel_id": "111847"}, {"ref": "erba508/notebook27e9153824", "kernel_id": "109261"}, {"ref": "architdxb/allstate-script", "kernel_id": "118796"}, {"ref": "daretoshare/exploratory-study-on-ml-algorithms", "kernel_id": "113941"}, {"ref": "adornes/notebook9483c633f7", "kernel_id": "118469"}, {"ref": "lisaling/notebook1757d4a5d7", "kernel_id": "104365"}, {"ref": "johnnystrings/exploratory-study-on-ml-algorithms", "kernel_id": "128284"}, {"ref": "johnnystrings/notebook6151b6bc04", "kernel_id": "135434"}, {"ref": "ugoren/notebook9a26e2e915", "kernel_id": "124837"}, {"ref": "princelysid/notebookdb83fa9636", "kernel_id": "105798"}, {"ref": "ed1229/exploratory-study-on-ml-algorithms-274f25a2", "kernel_id": "113867"}, {"ref": "ed1229/exploratory-study-on-ml-algorithms", "kernel_id": "113857"}, {"ref": "ed1229/notebook5081f83d81", "kernel_id": "115857"}, {"ref": "xuyaocareer/allstate-claims-severity-data-analysis-modeling", "kernel_id": "115629"}, {"ref": "xuyaocareer/encoding-feature-comb-modkzs-1108-72665", "kernel_id": "118501"}, {"ref": "yunali/exploratory-study-on-ml-algorithms", "kernel_id": "239498"}, {"ref": "dcarmody/notebook09ceeae3e9", "kernel_id": "111824"}, {"ref": "yliu88/maana-data-exploratory-analysis-on-customerm", "kernel_id": "265985"}, {"ref": "spattigilli/notebooke6dce81c6b", "kernel_id": "104153"}, {"ref": "vinayyadav3016/all-state", "kernel_id": "104930"}, {"ref": "dominicdebiaso/notebook169070041f", "kernel_id": "114199"}, {"ref": "user123/notebooke71973b226", "kernel_id": "114585"}, {"ref": "rushter/stacking-using-heamy", "kernel_id": "104286"}, {"ref": "henrychen/simple-eda-feature-transformations", "kernel_id": "117991"}, {"ref": "hansjung/notebookc7b827f5c8", "kernel_id": "105952"}, {"ref": "bra2ed/farons-xgb-starter-ported-to-r", "kernel_id": "118787"}, {"ref": "bra2ed/r-script-scoring-1113-93-on-plb", "kernel_id": "119506"}, {"ref": "nelmaya/exploratory-study-on-ml-algorithms", "kernel_id": "109649"}, {"ref": "pierrem/notebook2424f2d6c3", "kernel_id": "107638"}, {"ref": "nickrobinson/notebookf6ff638e42", "kernel_id": "118851"}, {"ref": "nickrobinson/allstate-claims-severity-analysis", "kernel_id": "116863"}, {"ref": "leonardhuang/exploratory-study-on-ml-algorithms", "kernel_id": "196050"}, {"ref": "sasimsb/allstates-1st-version", "kernel_id": "107559"}, {"ref": "yongjie/exploratory-study-on-ml-algorithms", "kernel_id": "107236"}, {"ref": "infinitemonkeybelief/bias-correction-xgboost", "kernel_id": "109375"}, {"ref": "sbeleidy/notebook5fbbd4a123", "kernel_id": "104092"}, {"ref": "franckjay/notebookaa31860598", "kernel_id": "104461"}, {"ref": "scirpus/markov-chain-monte-carlo", "kernel_id": "122083"}, {"ref": "scirpus/lexical-encoding-with-xgb", "kernel_id": "110777"}, {"ref": "scirpus/quick-genetic-programme", "kernel_id": "107312"}, {"ref": "scirpus/naive-bayes-xgb", "kernel_id": "104327"}, {"ref": "lemmaril/trial2", "kernel_id": "121505"}, {"ref": "lemmaril/notebook9a4e3c5ad1", "kernel_id": "121497"}, {"ref": "ekthesage/notebookb72ee149d4", "kernel_id": "105456"}, {"ref": "florianriche/allstate", "kernel_id": "116830"}, {"ref": "ariesyi/exploratory-study-on-ml-algorithms", "kernel_id": "178167"}, {"ref": "thiagomatos/exploratory-study-on-ml-algorithms", "kernel_id": "181533"}, {"ref": "h19881812/notebook0aef017c2b", "kernel_id": "116393"}, {"ref": "keykey/exploratory-study-on-ml-algorithms", "kernel_id": "249783"}, {"ref": "epuertas/notebook21d55fc7b6", "kernel_id": "104260"}, {"ref": "adriansabovici/notebookb9b11c47e1", "kernel_id": "104090"}, {"ref": "adriansabovici/test1", "kernel_id": "104466"}, {"ref": "gidutz/notebook733f343e42", "kernel_id": "104657"}, {"ref": "gidutz/notebookf94d6c6403", "kernel_id": "104646"}, {"ref": "fernandoconstantino/notebook9886525815", "kernel_id": "108852"}, {"ref": "debnomics/lexicographical-order", "kernel_id": "111478"}, {"ref": "skylord/dumb-and-dumber", "kernel_id": "104166"}, {"ref": "skylord/just-some-dumb-stuff", "kernel_id": "104245"}, {"ref": "silpara/h2o-python-starter", "kernel_id": "116645"}, {"ref": "stevelatuidahodotedu/exploratory-study-on-ml-algorithms-426261", "kernel_id": "237920"}, {"ref": "stevelatuidahodotedu/exploratory-study-on-ml-algorithms", "kernel_id": "237917"}, {"ref": "rezamahani/sneak-peak-at-the-data", "kernel_id": "105094"}, {"ref": "rezamahani/sneak-peak-at-the-data-2", "kernel_id": "107737"}, {"ref": "alex64/exploratory-study-on-ml-algorithms-088571d4", "kernel_id": "119693"}, {"ref": "alex64/exploratory-study-on-ml-algorithms", "kernel_id": "119439"}, {"ref": "ming861206/simple-eda-feature-transformations-v1", "kernel_id": "113297"}, {"ref": "govindnidigattu/notebookd07106ce98", "kernel_id": "104514"}, {"ref": "salsinats/notebookfeca8a4db6", "kernel_id": "104326"}, {"ref": "salsinats/keras-to-beat-random-forest-benchmark", "kernel_id": "104333"}, {"ref": "vgerald/predict-all-state-claims-severity", "kernel_id": "117194"}, {"ref": "vgerald/predict-claims-severity-v2", "kernel_id": "121368"}, {"ref": "vgerald/predictclaimseverity-myworkbook", "kernel_id": "122630"}, {"ref": "weiwang/notebookb123b2cc0e", "kernel_id": "244492"}, {"ref": "weiwang/notebook69922b2a78", "kernel_id": "244494"}, {"ref": "dingchaoz/quick-look-at-the-data", "kernel_id": "104044"}, {"ref": "xuren71/notebook2f4b25f3cc", "kernel_id": "104982"}, {"ref": "colingrodecoeur/notebookef52a6041b", "kernel_id": "230893"}, {"ref": "anjanaagrawal/notebook258728f68f", "kernel_id": "104162"}, {"ref": "anjanaagrawal/xgboost-with-predictor-data-set", "kernel_id": "104323"}, {"ref": "spike100/notebookddef4606ba", "kernel_id": "109810"}, {"ref": "harshkn/linear-regression", "kernel_id": "104034"}, {"ref": "harshkn/notebook3f3a1e57e1", "kernel_id": "104039"}, {"ref": "chandrakantk/tensorflow-dnnregressor", "kernel_id": "133558"}, {"ref": "nminus1/allstate-eda-python", "kernel_id": "104460"}, {"ref": "nminus1/notebook32adaeff17", "kernel_id": "104965"}, {"ref": "juneno/notebook8943ff28af", "kernel_id": "109255"}, {"ref": "krishnajanaswamy/test-run", "kernel_id": "105730"}, {"ref": "ajaysaini/exploratory-study-on-ml-algorithms", "kernel_id": "166039"}, {"ref": "demonvortex/notebookcef816c3c4", "kernel_id": "107924"}, {"ref": "iown4800/exploratory-study-on-ml-algorithms", "kernel_id": "107065"}, {"ref": "dpaul93/just-an-easy-solution", "kernel_id": "104747"}, {"ref": "dpaul93/myfirst", "kernel_id": "104752"}, {"ref": "bertcarremans/reducing-number-of-numerical-features-with-pca", "kernel_id": "106314"}, {"ref": "ankitagoplani/my-first-kernel", "kernel_id": "187910"}, {"ref": "justfor/markov-chain-monte-carlo", "kernel_id": "122728"}, {"ref": "kiranganji99/notebookd9fa5e7268", "kernel_id": "113534"}, {"ref": "kiranganji99/linearmodel-r", "kernel_id": "114030"}, {"ref": "leiyng/notebook01521d9ac9", "kernel_id": "122300"}, {"ref": "amirtasbihi/exploratory-study-on-ml-algorithms", "kernel_id": "132655"}, {"ref": "abhayizm/exploratory-study-on-ml-algorithms", "kernel_id": "111384"}, {"ref": "rinks11/exploratory-study-on-ml-algorithms", "kernel_id": "106740"}, {"ref": "sandeeppheonix/initial-run", "kernel_id": "104845"}, {"ref": "criptero/notebook043533ccbf", "kernel_id": "105261"}, {"ref": "criptero/test1", "kernel_id": "105262"}, {"ref": "murphy89/allstate-feature-analysis-python", "kernel_id": "107461"}, {"ref": "janina/notebookeb9a3faa9e", "kernel_id": "107516"}, {"ref": "kirann/claims-severity", "kernel_id": "131025"}, {"ref": "kirann/notebookc99eb9e47d", "kernel_id": "131026"}, {"ref": "kirann/notebook278371d0da", "kernel_id": "131045"}, {"ref": "bmetka/notebookb607b21712", "kernel_id": "105365"}, {"ref": "krsnewwave/notebook42438930fd", "kernel_id": "131847"}, {"ref": "sxzircon/allstate-feature-analysis-python", "kernel_id": "113731"}, {"ref": "kasisam/exploratory-study-on-ml-algorithms", "kernel_id": "177063"}, {"ref": "zhugds/try-gamma", "kernel_id": "106099"}, {"ref": "iglovikov/xgb-1114", "kernel_id": "110013"}, {"ref": "satadru5/notebooke59a3a9a77", "kernel_id": "109847"}, {"ref": "satadru5/all-state-data-visualization", "kernel_id": "106949"}, {"ref": "satadru5/notebookf3409ae102", "kernel_id": "107318"}, {"ref": "bradyjm1/brady-progressive1", "kernel_id": "116396"}, {"ref": "syammurali/notebook0ccc091d9d", "kernel_id": "108185"}, {"ref": "adriandunkley/simple-linear-regression-w-scikit-for-allstate", "kernel_id": "104179"}, {"ref": "bmcgraw/exploratory-study-on-ml-algorithms", "kernel_id": "119880"}, {"ref": "rjonczy/exploratory-analysis-of-allstate-data-in-r", "kernel_id": "108429"}, {"ref": "afuyo1/exploratory-study-on-ml-algorithms", "kernel_id": "107967"}, {"ref": "tiphtiph/notebook8ff24e819a", "kernel_id": "107670"}, {"ref": "cindytraub/notebookea9b4b3815", "kernel_id": "104003"}, {"ref": "shankarpandala/claims-severity", "kernel_id": "122627"}, {"ref": "dosben/notebook2520781e18", "kernel_id": "107122"}, {"ref": "geoheil/light-gbm-first-try", "kernel_id": "109652"}, {"ref": "junghun/exploratory-study-on-ml-algorithms", "kernel_id": "109794"}, {"ref": "junghun/notebook8915dd56bb", "kernel_id": "120930"}, {"ref": "scottdbl/exploratory-study-on-ml-algorithms", "kernel_id": "162391"}, {"ref": "banga034/test-file", "kernel_id": "153173"}, {"ref": "banga034/testing", "kernel_id": "153175"}, {"ref": "hafeneger/notebook091a5cedc3", "kernel_id": "117633"}, {"ref": "jkgiesler/notebooke1230c3448", "kernel_id": "104392"}, {"ref": "dreeux/notebookbdd04ab339", "kernel_id": "105856"}, {"ref": "dreeux/hyperparameter-tuning-using-hyperopt", "kernel_id": "107194"}, {"ref": "mtfall/notebookcd8df473e5", "kernel_id": "184132"}, {"ref": "mtfall/notebook47e2fa7fb9", "kernel_id": "184133"}, {"ref": "jturkewitz/visualizing-mean-loss-per-feature-value", "kernel_id": "109809"}, {"ref": "jturkewitz/allstate-eda-cont-features", "kernel_id": "107487"}, {"ref": "lifezbeautiful/justtesting", "kernel_id": "111363"}, {"ref": "nagababu/notebook4b21450715", "kernel_id": "110163"}, {"ref": "tonygracious/feature-extraction-from-categorical-variables", "kernel_id": "104204"}, {"ref": "unicorn23/exploratory-study-on-ml-algorithms", "kernel_id": "115586"}, {"ref": "jerrythomas/exploratory-study", "kernel_id": "107610"}, {"ref": "ferrarisf50/notebookcb7c60184c", "kernel_id": "235497"}, {"ref": "ferrarisf50/allstate-test2", "kernel_id": "236901"}, {"ref": "syednasar/exploratory-study-on-ml-algorithms", "kernel_id": "209478"}, {"ref": "collbb/r-script-scoring-1113-93-on-plb", "kernel_id": "130897"}, {"ref": "collbb/notebookd6817c55b4", "kernel_id": "130780"}, {"ref": "xmarvin/keras-with-tensorflow-backend", "kernel_id": "106458"}, {"ref": "liam21c/the-first-kaggle-submission", "kernel_id": "105545"}, {"ref": "maheshkkumar/exploratory-study-on-ml-algorithms", "kernel_id": "177936"}, {"ref": "datasj/tryxgb-1", "kernel_id": "103968"}, {"ref": "saranyas/notebook16f8328554", "kernel_id": "133435"}, {"ref": "statchen/exploratory-study-on-ml-algorithms", "kernel_id": "122710"}, {"ref": "tygrenya/the-first-kaggle-submission", "kernel_id": "105537"}, {"ref": "sonjiawax/mlpregressor1", "kernel_id": "135403"}, {"ref": "doremi/notebook0c6b990f94", "kernel_id": "116227"}, {"ref": "kuttet/notebook726e35af52", "kernel_id": "112991"}, {"ref": "patternhunt/notebook2097c76995", "kernel_id": "104858"}, {"ref": "guppi3695/keras-with-tensorflow-backend", "kernel_id": "109915"}, {"ref": "drevan/notebook34c506b904", "kernel_id": "105060"}, {"ref": "ather123/notebook2314cce9aa", "kernel_id": "125004"}, {"ref": "chaosmail/the-first-kaggle-submission", "kernel_id": "104887"}, {"ref": "anthonyyeo/exploratory-study-on-ml-algorithms", "kernel_id": "110595"}, {"ref": "anthonyyeo/exploratory-study-on-ml-algorithms-e0147f1f", "kernel_id": "110641"}, {"ref": "pyrate/exploratory-study-on-ml-algorithms", "kernel_id": "112725"}, {"ref": "monicab/exploratory-study-on-ml-algorithms", "kernel_id": "214191"}, {"ref": "dstauffer/notebook818fcad009", "kernel_id": "115795"}, {"ref": "mconde/weighted-average-ensambles-with-1-layer-n-networks", "kernel_id": "121289"}, {"ref": "mconde/weighted-average-ensembles-and-genetic-algorithms", "kernel_id": "121215"}, {"ref": "mconde/first-eda", "kernel_id": "104790"}, {"ref": "mconde/1st-and-simple-eda", "kernel_id": "104793"}, {"ref": "mconde/continuous-vars-eda", "kernel_id": "107270"}, {"ref": "prathamesh3103/script-on-h2o", "kernel_id": "116606"}, {"ref": "ameshkov/r-xgb-1107-23-unskew-encode-fold", "kernel_id": "122216"}, {"ref": "uday09/notebook5c43def848", "kernel_id": "128632"}, {"ref": "zard1991/exploratory-study-on-ml-algorithms", "kernel_id": "126677"}, {"ref": "zard1991/exploratory-study-on-ml-algorithms-27885ef4", "kernel_id": "128452"}, {"ref": "raghu626/exploratory-study-on-ml-algorithms", "kernel_id": "108858"}, {"ref": "raghu626/exploratory-study-on-ml-algorithms-ef6d12ca", "kernel_id": "108953"}, {"ref": "physicsrich/notebook7717f1ed9d", "kernel_id": "104134"}, {"ref": "chercheuse/exploratory-study-on-ml-algorithms", "kernel_id": "146874"}, {"ref": "venkyhosur/notebook1ae52ff8f0", "kernel_id": "105708"}, {"ref": "abhilashawasthi/stacking-starter", "kernel_id": "104236"}, {"ref": "tonyabracadabra/exploratory-study-on-ml-algorithms", "kernel_id": "109395"}, {"ref": "thedoctor46/prog-pyth2", "kernel_id": "130013"}, {"ref": "thedoctor46/forked2", "kernel_id": "131943"}, {"ref": "wasdee/allstate-feature-analysis-python", "kernel_id": "106372"}, {"ref": "achalshah/notebook0400835e92", "kernel_id": "121321"}, {"ref": "achalshah/notebook43edea817f", "kernel_id": "105240"}, {"ref": "achalshah/allstate-feature-analysis-python", "kernel_id": "105181"}, {"ref": "zerostack/notebook099fcb7562", "kernel_id": "104685"}, {"ref": "marvinoeben/exploratory-study-on-ml-algorithms", "kernel_id": "252408"}, {"ref": "suryam/exploratory-study-on-ml-algorithms", "kernel_id": "219018"}, {"ref": "lchu122/exploratory-study-on-ml-algorithms", "kernel_id": "121404"}, {"ref": "waqasali/notebookf3a58021c2", "kernel_id": "107579"}, {"ref": "lorismichel/firsttest", "kernel_id": "104410"}, {"ref": "tandonp/first-attempt", "kernel_id": "104008"}, {"ref": "kaulad/exploratory-study-on-ml-algorithms", "kernel_id": "237232"}, {"ref": "andy12290/all-state-kaggle-notebook", "kernel_id": "171362"}, {"ref": "andy12290/exploratory-study-on-ml-algorithms", "kernel_id": "142584"}, {"ref": "andy12290/simple-eda-feature-transformations", "kernel_id": "143326"}, {"ref": "openneuron/singel-model-lb-1117", "kernel_id": "123547"}, {"ref": "lipidong/exploratory-study-on-ml-algorithms", "kernel_id": "226064"}, {"ref": "dougfir/dealing-with-low-volume-levels", "kernel_id": "108542"}, {"ref": "tinkujohn/exploratory-study-on-ml-algorithms", "kernel_id": "106612"}, {"ref": "apistat/notebook264b020617", "kernel_id": "108008"}, {"ref": "kagglenator/try0-0001", "kernel_id": "111466"}, {"ref": "agemoo/keras", "kernel_id": "152410"}, {"ref": "ankit4991/exploratory-study-on-ml-algorithms", "kernel_id": "193069"}, {"ref": "fredericenard/exploratory-study-on-ml-algorithms", "kernel_id": "173314"}, {"ref": "tentotheminus9/quick-eda-before-bed", "kernel_id": "104023"}, {"ref": "codead/exploratory-study-on-ml-algorithms", "kernel_id": "216366"}, {"ref": "irusin/markov-chain-monte-carlo", "kernel_id": "131365"}, {"ref": "vravirala/notebook2ceb042a5d", "kernel_id": "106025"}, {"ref": "stepann/notebooka01a004c4a", "kernel_id": "109351"}, {"ref": "marcusluck/notebookcdcb5cb806", "kernel_id": "121870"}, {"ref": "chrimson/notebook2d9f1abe60", "kernel_id": "106627"}, {"ref": "eventide/notebook9e2f00421a", "kernel_id": "119969"}, {"ref": "gopivinod/run-main-py", "kernel_id": "104123"}, {"ref": "akarimzhul/notebookccdb8a7353", "kernel_id": "118471"}, {"ref": "joelprince25/notebook34498359a1", "kernel_id": "115121"}, {"ref": "highspirits/exploratory-study-on-ml-algorithms", "kernel_id": "118025"}, {"ref": "samhashmi/predictions", "kernel_id": "104217"}, {"ref": "gklein67/notebookbb40dc8651", "kernel_id": "104274"}, {"ref": "shinto/exploratory-study-on-ml-algorithms", "kernel_id": "106822"}, {"ref": "shinto/notebook1", "kernel_id": "104916"}, {"ref": "shinto/just-an-easy-solution", "kernel_id": "105030"}, {"ref": "shinto/notebook2", "kernel_id": "105316"}, {"ref": "shinto/testing-ridge", "kernel_id": "105468"}, {"ref": "misfyre/encoding-feature-comb-modkzs-1108-72665", "kernel_id": "117180"}, {"ref": "liorin/exploratory-study-on-ml-algorithms", "kernel_id": "255364"}, {"ref": "vishallakha/all-trump-state", "kernel_id": "123653"}, {"ref": "diego8680/exploratory-study-on-ml-algorithms", "kernel_id": "110290"}, {"ref": "yogeshsinghrbt/notebook44ad4733c1", "kernel_id": "253309"}, {"ref": "mikell/one-hot", "kernel_id": "120051"}, {"ref": "mikell/encoding3-feature-comb-modkzs-1108-72665", "kernel_id": "120015"}, {"ref": "mikell/notebook6de5701bd4", "kernel_id": "131976"}, {"ref": "dmi3kno/h2o-dnn-averaging-in-r", "kernel_id": "135358"}, {"ref": "dmi3kno/all-the-allstate-states-eda", "kernel_id": "106699"}, {"ref": "dmi3kno/farons-xgb-starter-with-custom-objective", "kernel_id": "107460"}, {"ref": "dmi3kno/allstate-fingerprints-eda", "kernel_id": "107745"}, {"ref": "dmi3kno/all-the-allstate-dates-eda", "kernel_id": "109006"}, {"ref": "dmi3kno/allstate-eda", "kernel_id": "103994"}, {"ref": "dmi3kno/faron-s-xgb-starter-with-extra-features", "kernel_id": "105559"}, {"ref": "myadav/learning-experiences", "kernel_id": "108675"}, {"ref": "myadav/notebook2a090b68f5", "kernel_id": "108756"}, {"ref": "kaushiknuvvula/exploratory-study-on-ml-algorithms", "kernel_id": "200084"}, {"ref": "rames037/just-an-easy-solution", "kernel_id": "104671"}, {"ref": "rames037/keras-with-tensorflow-backend", "kernel_id": "106085"}, {"ref": "zaldri/simple-eda-feature-transformations", "kernel_id": "116060"}, {"ref": "zaldri/notebookebb06f67cb", "kernel_id": "112050"}, {"ref": "sumit9/notebook9342aa14ef", "kernel_id": "128572"}, {"ref": "austinxiang/notebook08bbf2b3e7", "kernel_id": "198879"}, {"ref": "agavranis/keras-with-tensorflow-backend", "kernel_id": "105999"}, {"ref": "ninefive/test-2", "kernel_id": "118262"}, {"ref": "ninefive/test-1", "kernel_id": "119776"}, {"ref": "ps2811/all-state-eda-feature-importance", "kernel_id": "106322"}, {"ref": "lalthan/notebook77f83b9a6f", "kernel_id": "109224"}, {"ref": "lalthan/notebookec8d30a12a", "kernel_id": "108639"}, {"ref": "lalthan/xgb-allstate", "kernel_id": "105413"}, {"ref": "pallavikhedekar/simple-gbm", "kernel_id": "116955"}, {"ref": "stasi009/notebook23378ada5c", "kernel_id": "106333"}, {"ref": "oge1977/exploratory-study-on-ml-algorithms", "kernel_id": "107565"}, {"ref": "oge1977/exploratory-study-on-ml-algorithms-ee7ea46d", "kernel_id": "112438"}, {"ref": "carloside/notebookd7be248151", "kernel_id": "108416"}, {"ref": "apapiu/notebook35c9e8bdca", "kernel_id": "104041"}, {"ref": "apapiu/bias-correction-xgboost", "kernel_id": "105811"}, {"ref": "mathycee/exploratory-study-on-ml-algorithms", "kernel_id": "237529"}, {"ref": "mathycee/exploratory-study-on-ml-algorithms-51ac5a", "kernel_id": "237530"}, {"ref": "mathycee/mark-exploratory-study-on-ml-algorithms-febec3", "kernel_id": "237531"}, {"ref": "joconnor/notebook2376b2d9e2", "kernel_id": "104056"}, {"ref": "carlosdutra/hyperopt-for-tunning-iglovikov-s-script", "kernel_id": "114598"}, {"ref": "david84/singel-model-lb-1117", "kernel_id": "115529"}, {"ref": "keerthip/first-code-1", "kernel_id": "110236"}, {"ref": "jeffreyroshan/notebook636c032a6e", "kernel_id": "120557"}, {"ref": "liewyiyi/notebookab82ed9173", "kernel_id": "120640"}, {"ref": "visuvasan1/just-an-easy-solution", "kernel_id": "105231"}, {"ref": "geekatwork/running-scripts-on-h2o-package-gbm-rf", "kernel_id": "114670"}, {"ref": "sajal0jain/t3-90491", "kernel_id": "104443"}, {"ref": "nagendrayadav/notebook873bfe8c5b", "kernel_id": "104598"}, {"ref": "debasishk/notebookb3c025520a", "kernel_id": "117824"}, {"ref": "extremin/xgb1113", "kernel_id": "110997"}, {"ref": "benlindsay/assorted-visualizations", "kernel_id": "104086"}, {"ref": "gauravkjain/exploratory-study-on-ml-algorithms", "kernel_id": "113594"}, {"ref": "chaitanya94/notebook310a5be46b", "kernel_id": "119749"}, {"ref": "akki0206/xgboost-submission-1", "kernel_id": "117706"}, {"ref": "prasha3173/simple-eda-feature-transformations-b91e5e08", "kernel_id": "180608"}, {"ref": "merryhunter/notebook843274191e", "kernel_id": "104322"}, {"ref": "mchatters/xgbregressor-with-bagging-bragging-lb-1117", "kernel_id": "119575"}, {"ref": "achyut/initial-eda-for-continuous-variables", "kernel_id": "121791"}, {"ref": "tunguz/yet-another-xgb-starter", "kernel_id": "103986"}, {"ref": "tunguz/faron-s-xgb-starter-with-extra-features", "kernel_id": "106998"}, {"ref": "ermochi/xgb-sample", "kernel_id": "104854"}, {"ref": "ermochi/exploratory-study-on-ml-algorithms", "kernel_id": "109609"}, {"ref": "ermochi/exploratory-study-on-ml-algorithms-45e9fcce", "kernel_id": "109969"}, {"ref": "ermochi/xgb1113-try", "kernel_id": "112219"}, {"ref": "francoisdelspn/exploratory-study-on-ml-algorithms", "kernel_id": "109275"}, {"ref": "machine2030/allstate-feature-analysis-python", "kernel_id": "105974"}, {"ref": "gauss77/quick-look-at-the-data", "kernel_id": "103970"}, {"ref": "jtlewis/all-state-eda-feature-engine", "kernel_id": "107321"}, {"ref": "akabdul/notebook4de0e8a61d", "kernel_id": "107356"}, {"ref": "tyasnk/exploratory-study-on-ml-algorithms", "kernel_id": "111309"}, {"ref": "kevins/exploratory-study-on-ml-algorithms-51a7a6", "kernel_id": "187746"}, {"ref": "andreaslup/visualization-for-feature-correlations", "kernel_id": "108742"}, {"ref": "luismey/exploratory-study-on-ml-algorithms", "kernel_id": "123425"}, {"ref": "yww061851/data-preprocessing", "kernel_id": "108101"}, {"ref": "isosnovik/xgbstate", "kernel_id": "104506"}, {"ref": "gillesa/notebook132687829e", "kernel_id": "105407"}, {"ref": "avinavneer/notebookd6d9e0aca4", "kernel_id": "128050"}, {"ref": "lightone/notebookbfe511cee5", "kernel_id": "106660"}, {"ref": "pdraznik/notebook8f4420d921", "kernel_id": "116155"}, {"ref": "pdraznik/notebooked11ce2148", "kernel_id": "114649"}, {"ref": "freeman89/feature-reference", "kernel_id": "105033"}, {"ref": "banachan/tpot-claims-py", "kernel_id": "119516"}, {"ref": "vulytics/exploratory-study-on-ml-algorithms", "kernel_id": "109637"}, {"ref": "jesong1126/notebook6987aaf957", "kernel_id": "104040"}, {"ref": "myzhou1994/just-an-easy-solution", "kernel_id": "104705"}, {"ref": "myzhou1994/creaj12345678910", "kernel_id": "104559"}, {"ref": "myzhou1994/asdfghjk", "kernel_id": "105273"}, {"ref": "chengjia/notebook0afa2dead4", "kernel_id": "103997"}, {"ref": "andymasl/quick-look-at-clusters", "kernel_id": "108485"}, {"ref": "tfglaser/notebookadeecda806", "kernel_id": "186173"}, {"ref": "eayunts/just-an-easy-solution", "kernel_id": "114198"}, {"ref": "nopenopenope/exploratory-study-on-ml-algorithms", "kernel_id": "108093"}, {"ref": "pradeepjeya/allstate-encoding-high-cardinality-features", "kernel_id": "108548"}, {"ref": "anthonykenny/simple-h2o-starter-script-other", "kernel_id": "106037"}, {"ref": "hitanshupande/bias-correction-xgboost", "kernel_id": "106462"}, {"ref": "oneuno/exploratory-study-on-ml-algorithms", "kernel_id": "118552"}, {"ref": "pointer/simple-gbm", "kernel_id": "116769"}, {"ref": "usersumit/tensorflow-dnnregressor", "kernel_id": "104959"}, {"ref": "dodo1032/notebook844f22fe7b", "kernel_id": "124034"}, {"ref": "davidmilmont/experiment", "kernel_id": "105149"}, {"ref": "hippo89/exploratory-study-on-ml-algorithms", "kernel_id": "107128"}, {"ref": "brandao/allstate-1st-test", "kernel_id": "122092"}, {"ref": "vishalhawa/allstate", "kernel_id": "104586"}, {"ref": "vishalhawa/allstate-eda-fingers", "kernel_id": "112063"}, {"ref": "cimadure/exploratory-study-on-ml-algorithms", "kernel_id": "244449"}, {"ref": "amanbh/stacking-with-scikit-and-xgb-maybe", "kernel_id": "109851"}, {"ref": "notaapple/xgboost-one-hot-encoding-using-sparse-matrix-in-r", "kernel_id": "107049"}, {"ref": "notaapple/sessioninfo", "kernel_id": "105992"}, {"ref": "zfturbo/singel-model-lb-1117", "kernel_id": "115973"}, {"ref": "apurveyajnik/exploratory-study-on-ml-algorithms", "kernel_id": "130887"}, {"ref": "danielhuckins/notebookdc1d557684", "kernel_id": "106579"}, {"ref": "danielhuckins/notebook7f0a85dbce", "kernel_id": "106618"}, {"ref": "mangog/exploratory-study-on-ml-algorithms", "kernel_id": "112965"}, {"ref": "vinodsundaram/notebook9196df6997", "kernel_id": "115183"}, {"ref": "shelia0304/exploratory-study-on-ml-algorithms", "kernel_id": "108128"}, {"ref": "minhphan/just-an-easy-solution", "kernel_id": "104844"}, {"ref": "aishah/quick-start", "kernel_id": "105043"}, {"ref": "saraswat/notebook8cbf1636b1", "kernel_id": "113272"}, {"ref": "akaakaaka/allstate", "kernel_id": "111949"}, {"ref": "nadiyashvai/exploratory-study-on-ml-algorithms", "kernel_id": "109961"}, {"ref": "rolandzhou/just-an-easy-solution", "kernel_id": "105528"}, {"ref": "turkoh/simple-eda-feature-transformations", "kernel_id": "112120"}, {"ref": "turkoh/xgboost-using-transformed-features", "kernel_id": "112284"}, {"ref": "turkoh/simple-eda-feature-transformations-2cd71e86", "kernel_id": "113009"}, {"ref": "turkoh/xgboost-using-transformed-features-198a254e", "kernel_id": "113084"}, {"ref": "benfreu/the-first-kaggle-submission", "kernel_id": "105525"}, {"ref": "rajak2020/notebooka8345f15ad", "kernel_id": "131641"}, {"ref": "byuceoglu/notebook0a6c8e1acb", "kernel_id": "104249"}, {"ref": "slruttenberg/notebook68ea29114c", "kernel_id": "274707"}, {"ref": "charlesliang/notebook3759bb2163", "kernel_id": "108056"}, {"ref": "rspadim/adversarial-validation-allstate", "kernel_id": "411061"}, {"ref": "devangkulshreshtha/just-an-easy-solution", "kernel_id": "104721"}, {"ref": "uj2295/exploratory-study-on-ml-algorithms-576c6efc", "kernel_id": "146530"}, {"ref": "serenajiang/notebook156ef7c96e", "kernel_id": "125057"}, {"ref": "serenajiang/viz-stuff", "kernel_id": "124469"}, {"ref": "franklindong/exploratory-study-on-ml-algorithms", "kernel_id": "110119"}, {"ref": "abhishekgupta86/allstate-feature-analysis-python", "kernel_id": "106363"}, {"ref": "abhishekgupta86/exploratory-study-on-ml-algorithms", "kernel_id": "109485"}, {"ref": "hisudha/just-an-easy-solution", "kernel_id": "105985"}, {"ref": "nmud19/allstate-feature-analysis-python", "kernel_id": "105403"}, {"ref": "nmud19/notebookae7106058d", "kernel_id": "104496"}, {"ref": "deepanway/exploratory-study-on-ml-algorithms", "kernel_id": "196931"}, {"ref": "rmostert/notebookad9ee1147e", "kernel_id": "104387"}, {"ref": "rmostert/notebooka43315f8ce", "kernel_id": "104346"}, {"ref": "kuthpadi/notebookcc9846ea78", "kernel_id": "125133"}, {"ref": "kuthpadi/r-script-scoring-1113-93-on-plb", "kernel_id": "125121"}, {"ref": "luksss/notebook451f4b0f30", "kernel_id": "120708"}, {"ref": "yassinelanda/stacking-starter", "kernel_id": "104544"}, {"ref": "sujithkumar/exploratory-study-on-ml-algorithms", "kernel_id": "343599"}, {"ref": "ivovkanych/voi-allstate", "kernel_id": "118445"}, {"ref": "zhenhou/simple-eda-feature-transformations", "kernel_id": "116850"}, {"ref": "zelich/exploratory-study-on-ml-algorithms", "kernel_id": "116376"}, {"ref": "ishaanv/work-in-progress-eda-allstate", "kernel_id": "111050"}, {"ref": "arjoonn/scout-script-6", "kernel_id": "112768"}, {"ref": "gimpgael/testrttrh", "kernel_id": "123783"}, {"ref": "whanwan/notebook54601fed48", "kernel_id": "131960"}, {"ref": "gubobo/notebook87c54df4a7", "kernel_id": "121986"}, {"ref": "yasminamekki/notebook6f9f274470", "kernel_id": "116670"}, {"ref": "rossxsy/markov-chain-monte-carlo", "kernel_id": "131802"}, {"ref": "cseidman/notebook632cf8b638", "kernel_id": "104201"}, {"ref": "yusridh/notebook579495ff8e", "kernel_id": "106286"}, {"ref": "leexiongan/ensemble-weights-by-markov-chain-monte-carlo", "kernel_id": "124013"}, {"ref": "wellyouknow/tensorflow-dnnregressor", "kernel_id": "140130"}, {"ref": "jennylee/notebooke2c99f97a2", "kernel_id": "111183"}, {"ref": "prateekbhat/eda-and-modeling", "kernel_id": "108432"}, {"ref": "taylo5jm/eda-and-xgboost", "kernel_id": "111484"}, {"ref": "elguapo77/simple-eda-feature-transformations", "kernel_id": "123088"}, {"ref": "vivekka93/notebook86d4495b9e", "kernel_id": "111047"}, {"ref": "kumarsaurabh/notebook0c6c537a96", "kernel_id": "105837"}, {"ref": "timgasser/notebook8588f1790c", "kernel_id": "104448"}, {"ref": "anokas/simple-xgboost-starter-1335-lb", "kernel_id": "103947"}, {"ref": "euklid/exploratory-study-on-ml-algorithms", "kernel_id": "183304"}, {"ref": "euklid/exploratory-study-on-ml-algorithms-83713418", "kernel_id": "183392"}, {"ref": "tanarj/notebook294ed86d4a", "kernel_id": "114502"}, {"ref": "nikhilgundawar007/all-state-problem", "kernel_id": "112082"}, {"ref": "ming030890/notebook751212fc29", "kernel_id": "116332"}, {"ref": "praveenhegde/xgboost-starter", "kernel_id": "119187"}, {"ref": "monotoneoff/notebookfe03635b9d", "kernel_id": "119754"}, {"ref": "mlanier/hyperparameter-optimization-with-mlr", "kernel_id": "109269"}, {"ref": "modkzs/lexical-encoding-feature-comb", "kernel_id": "115832"}, {"ref": "bakeforfun/notebook5a5e01fbb8", "kernel_id": "121067"}, {"ref": "poigal/notebook60f6148385", "kernel_id": "111780"}, {"ref": "kyrylielizarov/notebookea81f5dc43", "kernel_id": "114353"}, {"ref": "raosindhu/all-state-loss-prediction", "kernel_id": "110026"}, {"ref": "aclyons/notebookf1800a2419", "kernel_id": "104512"}, {"ref": "andreyrzhaksinskiy/fork-of-exploratory-study-on-ml-algorithms", "kernel_id": "272629"}, {"ref": "andreyrzhaksinskiy/exploratory-study-on-ml-algorithms", "kernel_id": "270762"}, {"ref": "karthikko/exploratory-study-on-ml-algorithms", "kernel_id": "136104"}, {"ref": "felixzhao/allstate-regression-model", "kernel_id": "108850"}, {"ref": "epattaro/notebookb6b241a275", "kernel_id": "109386"}, {"ref": "epattaro/notebook1260c4d09b", "kernel_id": "109200"}, {"ref": "epattaro/exploratory-study-on-ml-algorithms", "kernel_id": "112947"}, {"ref": "epattaro/notebook627af7fcc6", "kernel_id": "111487"}, {"ref": "epattaro/notebookfd5c3ac333", "kernel_id": "118822"}, {"ref": "g92pratik/exploratory-study-on-ml-algorithms", "kernel_id": "121965"}, {"ref": "mamitiana/notebookb8ee9957a7", "kernel_id": "107107"}, {"ref": "mtinti/preprocessing-sparse-matrix", "kernel_id": "109015"}, {"ref": "mtinti/xgb-1110-from-vladimir-iglovikov-and-tilii7", "kernel_id": "111669"}, {"ref": "mtinti/notebook482ce38221", "kernel_id": "112556"}, {"ref": "mtinti/xgb-1114", "kernel_id": "110357"}, {"ref": "mtinti/keras-starter-with-bagging-1111-84364", "kernel_id": "115062"}, {"ref": "laurae2/logcosh-mae-bench", "kernel_id": "155524"}, {"ref": "laurae2/sneak-peak-at-the-data-1", "kernel_id": "103949"}, {"ref": "laurae2/fair-1", "kernel_id": "107582"}, {"ref": "laurae2/fair-2", "kernel_id": "107583"}, {"ref": "laurae2/seed-not-working-as-expected", "kernel_id": "107586"}, {"ref": "laurae2/notebook9b3f9c9329", "kernel_id": "108082"}, {"ref": "gtrimarc/exploratory-study-on-ml-algorithms-0cd2f3b4", "kernel_id": "122382"}, {"ref": "gtrimarc/exploratory-study-on-ml-algorithms", "kernel_id": "122377"}, {"ref": "gtrimarc/notebook772e1966db", "kernel_id": "122379"}, {"ref": "gtrimarc/notebook9a21c5e3e2", "kernel_id": "122208"}, {"ref": "rakshith91/sampletest", "kernel_id": "104398"}, {"ref": "null5432/notebook4e8c1decb8", "kernel_id": "121452"}, {"ref": "tranquangdai007/bias-correction-xgboost", "kernel_id": "106460"}, {"ref": "manojsukhavasi/simple-eda-feature-transformations", "kernel_id": "118885"}, {"ref": "manojsukhavasi/stacking-starter", "kernel_id": "118916"}, {"ref": "manojsukhavasi/bias-correction-xgboost", "kernel_id": "118917"}, {"ref": "manojsukhavasi/notebookd65ce02d1d", "kernel_id": "119378"}, {"ref": "qjin076/notebook9bad4d1dd7", "kernel_id": "123447"}, {"ref": "qjin076/notebooka4e70fd09c", "kernel_id": "123958"}, {"ref": "qjin076/notebook52d95fcf6f", "kernel_id": "124594"}, {"ref": "leohemamou/notebookce544e33e4", "kernel_id": "104263"}, {"ref": "leohemamou/test0000000001", "kernel_id": "104267"}, {"ref": "paultodo/notebook1c9de3e614", "kernel_id": "104367"}, {"ref": "trangmx/exploratory-study-on-ml-algorithms-eb972e6e", "kernel_id": "110633"}, {"ref": "trangmx/exploratory-study-on-ml-algorithms-a137156e", "kernel_id": "109853"}, {"ref": "trangmx/exploratory-study-on-ml-algorithms", "kernel_id": "107865"}, {"ref": "mjm2tr/notebookbd2abde8e3", "kernel_id": "144931"}, {"ref": "vihangpatil/notebook71eb1e947b", "kernel_id": "119685"}, {"ref": "vihangpatil/linear-model-all-variables-with-one-hot-encoding", "kernel_id": "119687"}, {"ref": "vihangpatil/exploratory-study-on-ml-algorithms", "kernel_id": "118219"}, {"ref": "vihangpatil/allstate-xgboost", "kernel_id": "163600"}, {"ref": "mishacamry/allstate-feature-analysis-python", "kernel_id": "116334"}, {"ref": "mnanne/preprocessing-sparse-matrix", "kernel_id": "104855"}, {"ref": "stefans2403/notebookf729ef1d61", "kernel_id": "105297"}, {"ref": "quantum13/notebook972ae153c5", "kernel_id": "114580"}, {"ref": "quantum13/gggggggg", "kernel_id": "114581"}, {"ref": "abulhawa/notebook1e4f04f99b", "kernel_id": "115361"}, {"ref": "luipis/allstate-fingerprints-eda", "kernel_id": "112994"}, {"ref": "bluemarlon/exploratory-study-on-ml-algorithms-f7994087", "kernel_id": "116420"}, {"ref": "bluemarlon/exploratory-study-on-ml-algorithms-a8333658", "kernel_id": "116459"}, {"ref": "bluemarlon/exploratory-study-on-ml-algorithms-a6154385", "kernel_id": "116360"}, {"ref": "bluemarlon/exploratory-study-on-ml-algorithms", "kernel_id": "116350"}, {"ref": "bluemarlon/exploratory-study-on-ml-algorithms-2776c0c5", "kernel_id": "116519"}, {"ref": "bluemarlon/notebook88d3d8da5d", "kernel_id": "116096"}, {"ref": "taeheekim/notebook2c9032e76d", "kernel_id": "112726"}, {"ref": "taeheekim/notebook301b6b9d83", "kernel_id": "112389"}, {"ref": "klask2600/the-first-kaggle-submission", "kernel_id": "105546"}, {"ref": "mmrosenb/summary-statistics-and-eda", "kernel_id": "109098"}, {"ref": "aakashnain/lexical-encoding-with-xgb", "kernel_id": "136536"}, {"ref": "aakashnain/just-an-easy-solution", "kernel_id": "104885"}, {"ref": "aakashnain/exploratory-study-on-ml-algorithms", "kernel_id": "112575"}, {"ref": "ftmichel/exploratory-study-on-ml-algorithms", "kernel_id": "106751"}, {"ref": "blackskif/exploratory-study-on-ml-algorithms", "kernel_id": "269320"}, {"ref": "meryemschalck/notebook6c24717a82", "kernel_id": "161650"}, {"ref": "meryemschalck/quick-look-at-the-data", "kernel_id": "104308"}, {"ref": "bananamuffin/notebook43a9ed7c7a", "kernel_id": "113823"}, {"ref": "bananamuffin/first-try", "kernel_id": "120324"}, {"ref": "giahuy/notebookb3664bc331", "kernel_id": "109198"}, {"ref": "williamqzc/keras-starter-with-bagging-lb-1120-596", "kernel_id": "111684"}, {"ref": "gabrieldemarmiesse/neural-network-for-beginner-lb-1140", "kernel_id": "132298"}, {"ref": "hmoggee/exploratory-study-on-ml-algorithms", "kernel_id": "109123"}, {"ref": "guilhermescha/notebookfbc714652e", "kernel_id": "104399"}, {"ref": "letfly/exploratory-study-on-ml-algorithms", "kernel_id": "119276"}, {"ref": "chistyakovyo/exploratory-study-on-ml-algorithms", "kernel_id": "114768"}, {"ref": "chistyakovyo/help-xgboost-with-ordinal-variables-1138-56", "kernel_id": "114804"}, {"ref": "chistyakovyo/just-an-easy-solution", "kernel_id": "114782"}, {"ref": "chistyakovyo/simple-eda-feature-transformations", "kernel_id": "115212"}, {"ref": "vignesh10/notebook6351332c74", "kernel_id": "120898"}, {"ref": "vignesh10/notebook08a269740e", "kernel_id": "120826"}, {"ref": "ishita0301/eda-1", "kernel_id": "104280"}, {"ref": "option12/simple-scikitlearn-for-allstate", "kernel_id": "104006"}, {"ref": "option12/stacking-with-scikit-and-xgb-maybe", "kernel_id": "109789"}, {"ref": "rwongone/exploratory-study-on-ml-algorithms", "kernel_id": "113186"}, {"ref": "gkreplak/notebook896c0ea5dd", "kernel_id": "104049"}, {"ref": "gkganesh/notebookc6621363ae", "kernel_id": "109531"}, {"ref": "gkganesh/notebook98f4ac41d3", "kernel_id": "112786"}, {"ref": "tilii7/recursive-feature-elimination", "kernel_id": "108966"}, {"ref": "tilii7/t-sne-visualization-of-train-data", "kernel_id": "108422"}, {"ref": "tilii7/feature-importance-from-linear-and-tree-models", "kernel_id": "106001"}, {"ref": "tilii7/bias-correction-xgboost", "kernel_id": "105207"}, {"ref": "tilii7/ensemble-weights-minimization-vs-mcmc", "kernel_id": "125966"}, {"ref": "mellon/notebook41725de599", "kernel_id": "107069"}, {"ref": "weishenghua/notebooke864d596e5", "kernel_id": "117621"}, {"ref": "weishenghua/notebookcfbafd9a39", "kernel_id": "113134"}, {"ref": "fengari/exploratory-study-on-ml-algorithms", "kernel_id": "119121"}, {"ref": "nirupamkar/xgb-run1", "kernel_id": "108599"}, {"ref": "shawnwang1118/notebook32ca897d25", "kernel_id": "109350"}, {"ref": "shawnwang1118/notebooka4cef9045f", "kernel_id": "198464"}, {"ref": "vadyan/notebookae279e827f", "kernel_id": "121073"}, {"ref": "whatever2099/exploratory-study-on-ml-algorithms", "kernel_id": "109578"}, {"ref": "andreasjohnsson/initial-eda-using-python", "kernel_id": "104328"}, {"ref": "andreasjohnsson/notebookc2bbf298b9", "kernel_id": "109580"}, {"ref": "pugovka91/allstate-feature-analysis-python-3e51a7ce", "kernel_id": "109306"}, {"ref": "pugovka91/allstate-feature-analysis-python", "kernel_id": "109160"}, {"ref": "jihyeseo/claim-severe-eda-no-missing-value", "kernel_id": "956830"}, {"ref": "rpertusa/allstate-analysis", "kernel_id": "121181"}, {"ref": "mayccc/exploratory-study-on-ml-algorithms", "kernel_id": "268808"}, {"ref": "hansity/notebook4558d5a60c", "kernel_id": "118534"}, {"ref": "rachidbel/exploratory-study-on-ml-algorithms", "kernel_id": "110759"}, {"ref": "rubikr/notebooke5624f5c05", "kernel_id": "103983"}, {"ref": "zhhtc200/notebookd78bb6d7ec", "kernel_id": "109409"}, {"ref": "zhhtc200/first-try-on-competitions", "kernel_id": "107426"}, {"ref": "faisalahmed0086/exploratory-study-on-ml-algorithms", "kernel_id": "112486"}, {"ref": "usmannisar/notebook32cc75a956", "kernel_id": "110086"}, {"ref": "jzwang/multivariable-approach-test", "kernel_id": "125236"}, {"ref": "sakharovaekaterina/r-xgb-1107-23-unskew-encode-fold", "kernel_id": "124173"}, {"ref": "xinliu2/exploratory-study-on-ml-algorithms", "kernel_id": "201161"}, {"ref": "wrosinski/keras-optimization-template-hyperopt-gridsearch", "kernel_id": "110318"}, {"ref": "yogarjun77/exploratory-analysis-of-allstate-data-in-r", "kernel_id": "109459"}, {"ref": "kickyx/markov-chain-monte-carlo", "kernel_id": "130383"}, {"ref": "kickyx/exploratory-study-on-ml-algorithms", "kernel_id": "187285"}, {"ref": "sarahsusiepak/just-an-easy-solution-0a40c1d1", "kernel_id": "105093"}, {"ref": "lysuhin/exploratory-study-on-ml-algorithms-57ef53ca", "kernel_id": "110105"}, {"ref": "shenba/notebook1af39f0309", "kernel_id": "130923"}, {"ref": "akpradhn/notebook6e198ed8bb", "kernel_id": "104214"}, {"ref": "akpradhn/acs-script", "kernel_id": "104208"}, {"ref": "tc171995/mynew", "kernel_id": "134771"}, {"ref": "tc171995/newreg", "kernel_id": "134787"}, {"ref": "tc171995/okaynoc", "kernel_id": "134838"}, {"ref": "tc171995/la-rega", "kernel_id": "135074"}, {"ref": "tc171995/notebook02bf38e14a", "kernel_id": "134917"}, {"ref": "tc171995/notebook8333ee5df8", "kernel_id": "133784"}, {"ref": "tc171995/notebook26c9821bbb", "kernel_id": "134048"}, {"ref": "tc171995/linearreg", "kernel_id": "134050"}, {"ref": "kaiyushi/exploratory-study-on-ml-algorithms", "kernel_id": "138923"}, {"ref": "sauravkaushik8/xgb-sk", "kernel_id": "104339"}, {"ref": "igauty/xgboost-starter-lb-score-1128-9", "kernel_id": "122497"}, {"ref": "igauty/allstate-eda-python", "kernel_id": "122498"}, {"ref": "igauty/exploratory-study-on-ml-algorithms", "kernel_id": "122499"}, {"ref": "jgk000/notebooka9058c979f", "kernel_id": "106217"}, {"ref": "jgk000/allstate-eda-python", "kernel_id": "108410"}, {"ref": "jgk000/allstate-feature-analysis-python", "kernel_id": "105950"}, {"ref": "txbrisket/keras-starter-with-bagging-lb-1120-596", "kernel_id": "109779"}, {"ref": "txbrisket/test-dataviz", "kernel_id": "104572"}, {"ref": "syedmoinudeen/notebookac2dafe492", "kernel_id": "104433"}, {"ref": "syedmoinudeen/notebook7c834ec45d", "kernel_id": "105464"}, {"ref": "satcos/exploratory-data-analysis", "kernel_id": "104748"}, {"ref": "garethjns/notebook49446cbd7e", "kernel_id": "116803"}, {"ref": "kevinpalm/bumbling-around-in-tensorflow", "kernel_id": "111232"}, {"ref": "prashantddeeep/exploratory-study-on-ml-algorithms", "kernel_id": "114443"}, {"ref": "atsushitakahashi/notebookae09fd5374", "kernel_id": "112408"}, {"ref": "hisuka/bias-correction-xgboost-forked", "kernel_id": "107218"}, {"ref": "pankajmishra/notebook85a0ffb9d5", "kernel_id": "109238"}, {"ref": "pankajmishra/exploratory-study-on-ml-algorithms", "kernel_id": "110693"}, {"ref": "pankajmishra/notebook06f4175a8e", "kernel_id": "165753"}, {"ref": "carloafs/exploratory-study-on-ml-algorithms", "kernel_id": "111323"}, {"ref": "aresyeah/allstateclaims", "kernel_id": "120790"}, {"ref": "aresyeah/ye1027", "kernel_id": "110421"}, {"ref": "victorwang/rf-model-trial2", "kernel_id": "133293"}, {"ref": "victorwang/rd-model", "kernel_id": "130468"}, {"ref": "victorwang/rf-model", "kernel_id": "130598"}, {"ref": "marouane/just-an-easy-solution", "kernel_id": "104833"}, {"ref": "bluebite/notebook25c392eba2", "kernel_id": "114987"}, {"ref": "rampal/notebook12be99df5b", "kernel_id": "104114"}, {"ref": "aliajouz/singel-model-lb-1117", "kernel_id": "109895"}, {"ref": "aliajouz/xgb-model", "kernel_id": "130458"}, {"ref": "primenumber/notebook3959e9e68c", "kernel_id": "113113"}, {"ref": "mikeee/lasagne-simple-starter", "kernel_id": "122631"}, {"ref": "skidsteerpilot/allstate-feature-analysis-python", "kernel_id": "105609"}, {"ref": "ronferens/notebook886858d140", "kernel_id": "108737"}, {"ref": "scottysstars/notebooked022dc335", "kernel_id": "105389"}, {"ref": "deanjohnr/notebook765406868d", "kernel_id": "112305"}, {"ref": "deanjohnr/notebook5c6dd40c24", "kernel_id": "111242"}, {"ref": "rakeshds/exploratory-study-on-ml-algorithms", "kernel_id": "120662"}, {"ref": "pepper88/simple-eda-feature-transformations", "kernel_id": "113405"}, {"ref": "luisblanche/allstate-eda-python", "kernel_id": "104927"}, {"ref": "zgcgreat/notebook0b1ad5a2c9", "kernel_id": "111376"}, {"ref": "zgcgreat/notebookb762ea5173", "kernel_id": "118269"}, {"ref": "zgcgreat/allstate", "kernel_id": "117662"}, {"ref": "zgcgreat/notebookfa39e155cb", "kernel_id": "117658"}, {"ref": "zgcgreat/simple-eda-feature-transformations", "kernel_id": "119163"}, {"ref": "zgcgreat/exploratory-study-on-ml-algorithms-15a46962", "kernel_id": "133527"}, {"ref": "zgcgreat/exploratory-study-on-ml-algorithms-35fd33a1", "kernel_id": "133528"}, {"ref": "nomanvb/notebook5201533285", "kernel_id": "110651"}, {"ref": "vecxoz/test1", "kernel_id": "109195"}, {"ref": "vecxoz/allstate3", "kernel_id": "113351"}, {"ref": "vecxoz/time-test", "kernel_id": "112192"}, {"ref": "vecxoz/test1128", "kernel_id": "123710"}, {"ref": "vecxoz/vecstack-demo", "kernel_id": "121783"}, {"ref": "vecxoz/notebook141430321a", "kernel_id": "125348"}, {"ref": "stanimman/exploratory-study-on-ml-algorithms", "kernel_id": "123687"}, {"ref": "kiril123/just-an-easy-solution", "kernel_id": "105606"}, {"ref": "kiril123/the-first-kaggle-submission", "kernel_id": "105526"}, {"ref": "kiril123/exploratory-study-on-ml-algorithms", "kernel_id": "107480"}, {"ref": "bostdiek/probabilities-and-clustering", "kernel_id": "113017"}, {"ref": "bostdiek/testing-allstate-with-simple-models", "kernel_id": "104157"}, {"ref": "bostdiek/first-look-at-the-data", "kernel_id": "103982"}, {"ref": "rajeev921/notebook86c4e73c8f", "kernel_id": "107233"}, {"ref": "rajeev921/allstate-claims-severity", "kernel_id": "107243"}, {"ref": "rajeev921/allstate-claims-severity-1st-competition-1st-try", "kernel_id": "107247"}, {"ref": "leomachado1/allstate-claims", "kernel_id": "127142"}, {"ref": "singlasahil14/exploratory-study-on-ml-algorithms", "kernel_id": "186011"}, {"ref": "remotelytrue/exploratory-study-on-ml-algorithms", "kernel_id": "108178"}, {"ref": "remotelytrue/markov-chain-monte-carlo", "kernel_id": "131232"}, {"ref": "kevinkr/allstateeda1", "kernel_id": "107263"}, {"ref": "dylanbstorey/storey-dataexploration", "kernel_id": "105721"}, {"ref": "dylanbstorey/notebook4053ce0ae4", "kernel_id": "105042"}, {"ref": "itsmeumesh/notebook94012cc134", "kernel_id": "105398"}, {"ref": "savostinkaggle/notebook10e852e44e", "kernel_id": "111390"}, {"ref": "stibbons/quick-look-at-the-data", "kernel_id": "104014"}, {"ref": "joku91/exploratory-study-on-ml-algorithms", "kernel_id": "122424"}, {"ref": "shyam95/exploratory-study-on-ml-algorithms", "kernel_id": "137321"}, {"ref": "shyam95/exploratory-study-on-ml-algorithms-46468cd7", "kernel_id": "137322"}, {"ref": "imvemuri47/exploratory-study-on-ml-algorithms", "kernel_id": "108046"}, {"ref": "kochse/the-first-kaggle-submission", "kernel_id": "105533"}, {"ref": "manjas/xgb-1114", "kernel_id": "120616"}, {"ref": "mcarrie30/my-first-kernel", "kernel_id": "133163"}, {"ref": "peimengsui/feature-reference", "kernel_id": "106490"}, {"ref": "ryancaldwell/notebooka5a13a74e8", "kernel_id": "104036"}, {"ref": "aialenti/notebookd5dadf0fa2", "kernel_id": "128101"}, {"ref": "xiwang/exploratory-study-on-ml-algorithms", "kernel_id": "109776"}, {"ref": "nitink12/prog-python", "kernel_id": "128947"}, {"ref": "nitink12/prog-pyth2", "kernel_id": "128954"}, {"ref": "alessios/first", "kernel_id": "104218"}, {"ref": "rshigemori/notebook5c792248ca", "kernel_id": "106422"}, {"ref": "stonede/notebook03e25833cd", "kernel_id": "122394"}, {"ref": "ssu008/notebook16394101d1", "kernel_id": "134177"}, {"ref": "ssu008/exploratory-study-on-ml-algorithms", "kernel_id": "116767"}, {"ref": "nicoga/notebook080ec621de", "kernel_id": "105417"}, {"ref": "finlay/exploratory-study-on-ml-algorithms", "kernel_id": "107228"}, {"ref": "shinson/notebook5e161e56ce", "kernel_id": "116965"}, {"ref": "beginnerpuneet/notebook35ad954ae9", "kernel_id": "105358"}, {"ref": "beginnerpuneet/notebook92d4b7df3f", "kernel_id": "105326"}, {"ref": "beginnerpuneet/notebookcfd5598139", "kernel_id": "105802"}, {"ref": "saju1986/descriptive-analysis-first-script", "kernel_id": "118754"}, {"ref": "gaurav2555/notebookc7bffeb3c3", "kernel_id": "123545"}, {"ref": "wenjianhukaggle/exploratory-study-on-ml-algorithms", "kernel_id": "116782"}, {"ref": "wenjianhukaggle/exploratory-study-on-ml-algorithms-d0ab49f4", "kernel_id": "116853"}, {"ref": "vermgau/exploratory-study-on-ml-algorithms", "kernel_id": "114276"}, {"ref": "sponde/notebook7e648f776f", "kernel_id": "152983"}, {"ref": "ajayws/notebook75b0dadf3e", "kernel_id": "119120"}, {"ref": "ajayws/notebook507e171c37", "kernel_id": "121056"}, {"ref": "gunjan1991/first-try-on-xgboost", "kernel_id": "106530"}, {"ref": "mikevdickson/notebookdfefcb6e5f", "kernel_id": "109404"}, {"ref": "mikevdickson/notebook5eddbdf09c", "kernel_id": "109097"}, {"ref": "liukang92/keras-starter-with-bagging-lb-1120-596", "kernel_id": "112836"}, {"ref": "friday360/exploratory-study-on-ml-algorithms", "kernel_id": "205525"}, {"ref": "jasonhan/all-state-eda-feature-importance", "kernel_id": "106239"}, {"ref": "jasonhan/bias-correction-xgboost", "kernel_id": "105373"}, {"ref": "jasonhan/yet-another-xgb-starter", "kernel_id": "105427"}, {"ref": "anki08/singel-model-lb-1117", "kernel_id": "116415"}, {"ref": "chinmay92/notebook8776395b5e", "kernel_id": "123111"}, {"ref": "chinmay92/xgboost-one-hot-encoding-using-sparse-matrix-in-r", "kernel_id": "201885"}, {"ref": "chinmay92/exploratory-study-on-ml-algorithms", "kernel_id": "201835"}, {"ref": "enovictor/notebook636c032a6e", "kernel_id": "105570"}, {"ref": "enovictor/xgbregressor-allstate-claims-severity", "kernel_id": "104618"}, {"ref": "beomsookim/notebookb8f508eaf4", "kernel_id": "121008"}, {"ref": "wduncan21/notebook5d22ccf87d", "kernel_id": "105257"}, {"ref": "anuj0504/newbee", "kernel_id": "107272"}, {"ref": "achintha93/notebookd81ade8d19", "kernel_id": "119918"}, {"ref": "jurajbezecny/notebookcf4b371d97", "kernel_id": "123879"}, {"ref": "jianyao/exploratory-study-on-ml-algorithms", "kernel_id": "127259"}, {"ref": "andreylarionov/simple-gradientboostingregressor-lb-1139", "kernel_id": "112162"}, {"ref": "andreylarionov/bias-correction-xgboost", "kernel_id": "112150"}, {"ref": "yanyang729/notebook8d6c8ef043", "kernel_id": "107046"}, {"ref": "marcsun/exploratory-study-on-ml-algorithms", "kernel_id": "120227"}, {"ref": "annhe09/notebook914517fb97", "kernel_id": "114590"}, {"ref": "fredtony/mcmc-further-explored", "kernel_id": "122736"}, {"ref": "fredtony/state-of-all-the-allstate-states", "kernel_id": "106747"}, {"ref": "ksmvsn/notebookebbe1add58", "kernel_id": "163185"}, {"ref": "jordand/notebooke89f7744e1", "kernel_id": "123008"}, {"ref": "flytosky/exploratory-study-on-ml-algorithms", "kernel_id": "113565"}, {"ref": "schiller/just-an-easy-solution", "kernel_id": "107581"}, {"ref": "michaelmtz20/labelencoding-and-xgb-cv", "kernel_id": "132533"}, {"ref": "michaelmtz20/notebook88318eace7", "kernel_id": "132523"}, {"ref": "michaelmtz20/notebook46501dad8b", "kernel_id": "104497"}, {"ref": "kapilt1991/allst", "kernel_id": "106600"}, {"ref": "kapilt1991/allstate3", "kernel_id": "104682"}, {"ref": "hbhargava2/xgboost-parameter-tuned-feature-engineering", "kernel_id": "117570"}, {"ref": "hbhargava2/correlation-between-data", "kernel_id": "116996"}, {"ref": "mahirkukreja/exploratory-study-on-ml-algorithms-185b4fca", "kernel_id": "128822"}, {"ref": "mahirkukreja/notebook58ffeef1f9", "kernel_id": "129579"}, {"ref": "mahirkukreja/simple-mlp-regression-with-keras-for-allstate", "kernel_id": "130806"}, {"ref": "mahirkukreja/exploratory-study-on-ml-algorithms", "kernel_id": "127678"}, {"ref": "mahirkukreja/yet-another-xgb-starter", "kernel_id": "128100"}, {"ref": "adityakumarsinha/keras-with-tensorflow-backend", "kernel_id": "123180"}, {"ref": "zgo2016/claims-prediction", "kernel_id": "121475"}, {"ref": "comartel/xgboost-starter-allstate", "kernel_id": "104956"}, {"ref": "tennissuperstar/notebook494c15b9b2", "kernel_id": "121995"}, {"ref": "tennissuperstar/notebooka490aebb01", "kernel_id": "122348"}, {"ref": "tennissuperstar/notebook3ac124d750", "kernel_id": "120894"}, {"ref": "ikerhurtado/allstate-3", "kernel_id": "105780"}, {"ref": "sharmasanthosh/exploratory-study-on-ml-algorithms", "kernel_id": "105200"}, {"ref": "datadong/exploratory-study-on-ml-algorithms", "kernel_id": "120311"}, {"ref": "andrewcurran/exploratory-study-on-ml-algorithms-b44167b8", "kernel_id": "131485"}, {"ref": "andrewcurran/exploratory-study-on-ml-algorithms", "kernel_id": "131482"}, {"ref": "nesvander/keras-starter-with-bagging-lb-1120-596", "kernel_id": "135185"}, {"ref": "tejjet/exploratory-study-on-ml-algorithms", "kernel_id": "192395"}, {"ref": "shkabko/lexical-encoding-feature-comb", "kernel_id": "116525"}, {"ref": "dataolivia/exploratory-study-on-ml-algorithms-62ad58", "kernel_id": "244090"}, {"ref": "dataolivia/exploratory-study-on-ml-algorithms", "kernel_id": "243606"}, {"ref": "dataolivia/exploratory-study-on-ml-algorithms-78a8ad", "kernel_id": "246033"}, {"ref": "maxshikin/notebook74346025ec", "kernel_id": "117594"}, {"ref": "sgladwe/exploratory-study-on-ml-algorithms", "kernel_id": "114458"}, {"ref": "kb3gjt/allstateeda1", "kernel_id": "104481"}, {"ref": "sdandriy/notebookcb6d8f56cc", "kernel_id": "109743"}, {"ref": "sdandriy/notebookdf752292d7", "kernel_id": "109411"}, {"ref": "xingobar/notebook8f756c9a9e", "kernel_id": "112899"}, {"ref": "xingobar/allstate-claims-severity", "kernel_id": "112901"}, {"ref": "xingobar/simple-xgboost-1120-769", "kernel_id": "112046"}, {"ref": "xingobar/keras-starer", "kernel_id": "122052"}, {"ref": "lukroz/exploratory-study-on-ml-algorithms", "kernel_id": "108990"}, {"ref": "srajesh/exploratory-study-on-ml-algorithms", "kernel_id": "122068"}, {"ref": "albertogutierrez/exploratory-study-on-ml-algorithms", "kernel_id": "123361"}, {"ref": "avatoo/tmp-1", "kernel_id": "117100"}, {"ref": "mougatine/notebookd254c1b793", "kernel_id": "104876"}, {"ref": "mougatine/notebook1aed993e34", "kernel_id": "104027"}, {"ref": "jad2192/allstate-preds", "kernel_id": "133114"}, {"ref": "jad2192/quick-scikit-gradient-boosting-regressor", "kernel_id": "104062"}, {"ref": "a275909044/notebook70579629c2", "kernel_id": "120947"}, {"ref": "toolusr/just-an-easy-solution", "kernel_id": "105099"}, {"ref": "sayalidzambre/notebooke0c7e09697", "kernel_id": "114856"}, {"ref": "sayalidzambre/exploratory-study-on-ml-algorithms", "kernel_id": "152524"}, {"ref": "sayalidzambre/exploratory-study-on-ml-algorithms-e82a0a", "kernel_id": "211160"}, {"ref": "alijs1/experimenting-with-keras-nn", "kernel_id": "107364"}, {"ref": "alijs1/bias-correction-xgboost", "kernel_id": "105608"}, {"ref": "aakash2121995/notebookccc577aa6b", "kernel_id": "128683"}, {"ref": "aakash2121995/notebook7e073800cc", "kernel_id": "128706"}, {"ref": "aakash2121995/new-ensemble", "kernel_id": "128441"}, {"ref": "kevincbrosnan/kevin-brosnan", "kernel_id": "104031"}, {"ref": "roarke/quick-look-at-the-data", "kernel_id": "104124"}, {"ref": "vijayzutshi/notebook55bcc3b375", "kernel_id": "128831"}, {"ref": "vijayzutshi/notebookf4a04bf8a5", "kernel_id": "128832"}, {"ref": "arvidzt/notebook14a7874dbf", "kernel_id": "145996"}, {"ref": "nicolasarquie/script-attempt", "kernel_id": "108819"}, {"ref": "glivon/exploratory-study-on-ml-algorithms", "kernel_id": "224798"}, {"ref": "hulemalearning/notebookdbc1abe80a", "kernel_id": "113044"}, {"ref": "jameskaruri/notebookab02bc1cd1", "kernel_id": "109930"}, {"ref": "tanlikesmath/just-an-easy-solution", "kernel_id": "104701"}, {"ref": "venkateshbk/all-state-insurance-draft", "kernel_id": "122624"}, {"ref": "mountaindata/all-state-random-forest-approach", "kernel_id": "122762"}, {"ref": "mountaindata/all-state-linear-svr-approach", "kernel_id": "122756"}, {"ref": "mountaindata/all-state-linear-regression-approach", "kernel_id": "122751"}, {"ref": "mountaindata/allstate-randomforest", "kernel_id": "122843"}, {"ref": "rrkc00/notebook84986c5de3", "kernel_id": "110750"}, {"ref": "rrkc00/xgboost", "kernel_id": "111094"}, {"ref": "rrkc00/julia", "kernel_id": "112848"}, {"ref": "rrkc00/notebook8c903a36db", "kernel_id": "112851"}, {"ref": "yu8861213/notebook3de76c33b0", "kernel_id": "119867"}, {"ref": "jseery/exploratory-study-on-ml-algorithms-2f2d2cc0", "kernel_id": "123161"}, {"ref": "jseery/exploratory-study-on-ml-algorithms-js", "kernel_id": "116153"}, {"ref": "statisticalpirate/my-first-kernel", "kernel_id": "113734"}, {"ref": "statisticalpirate/exploratory-study-on-ml-algorithms", "kernel_id": "117750"}, {"ref": "akash222/yet-another-xgb-starter-modified", "kernel_id": "105008"}, {"ref": "akash222/just-an-easy-solution-mod", "kernel_id": "105009"}, {"ref": "nverma22/notebook32f90e3960", "kernel_id": "107841"}, {"ref": "kantologist/exploratory-study-on-ml-algorithms", "kernel_id": "165527"}, {"ref": "kantologist/exploratory-study-on-ml-algorithms-399e68f1", "kernel_id": "166432"}, {"ref": "kyleockerlund/notebookdee98a4749", "kernel_id": "105978"}, {"ref": "sacvp125/simple-eda-feature-transformations", "kernel_id": "118340"}, {"ref": "nitinvijay23/exploratory-study-on-ml-algorithms", "kernel_id": "120600"}, {"ref": "dan195/exploratory-study-on-ml-algorithms", "kernel_id": "228455"}, {"ref": "dan195/exploratory-study-on-ml-algorithms-daea54", "kernel_id": "234644"}, {"ref": "pirisin/notebookaa93d18f79", "kernel_id": "126805"}, {"ref": "chukyworld/exploratory-study-on-ml-algorithms-ed5998d6", "kernel_id": "110173"}, {"ref": "chukyworld/exploratory-study-on-ml-algorithms", "kernel_id": "109799"}, {"ref": "ankushjain/exploratory-study-on-ml-algorithms", "kernel_id": "108059"}, {"ref": "ankushjain/notebook2157fc9de8", "kernel_id": "120260"}, {"ref": "manoharpilli/exploratory-study-on-ml-algorithms", "kernel_id": "173656"}, {"ref": "manoharpilli/exploratory-study-on-ml-algorithms-7d3676ae", "kernel_id": "173658"}, {"ref": "manoharpilli/exploratory-study-on-ml-algorithms-31eed71a", "kernel_id": "173659"}, {"ref": "haphamngoc/notebook6dd9fb9c58", "kernel_id": "112092"}, {"ref": "haphamngoc/testing-allstate-with-simple-models", "kernel_id": "112293"}, {"ref": "haphamngoc/state-of-all-the-allstate-states", "kernel_id": "112515"}, {"ref": "lorz3l/first-test", "kernel_id": "108111"}, {"ref": "lorz3l/notebooke814b9053c", "kernel_id": "108104"}, {"ref": "eww125/notebook137c31a194", "kernel_id": "104060"}, {"ref": "snigdhendu/tensorflow-dnnregressor", "kernel_id": "108092"}, {"ref": "snigdhendu/tensorflow-dnnregressor-9d21ed68", "kernel_id": "108464"}, {"ref": "marc000/first-try", "kernel_id": "119435"}, {"ref": "marc000/notebook26ce38c348", "kernel_id": "104924"}, {"ref": "chazcv/notebook83901b3d1b", "kernel_id": "105174"}, {"ref": "humchuckaninny/allstate-fingerprints-eda", "kernel_id": "108721"}, {"ref": "humchuckaninny/notebook7679a0617a", "kernel_id": "108747"}, {"ref": "yongkai/notebook0ae4c61c0b", "kernel_id": "117000"}, {"ref": "apoorv98/simple-eda-feature-transformations", "kernel_id": "120334"}, {"ref": "liupatrick/qewra", "kernel_id": "120405"}, {"ref": "alexeyproskurnin/notebook950c20b7d9", "kernel_id": "136885"}, {"ref": "krramasw/exploratory-study-on-ml-algorithms", "kernel_id": "230276"}, {"ref": "davebelding/notebook23a6d05014", "kernel_id": "104057"}, {"ref": "venheads/keras-starter-with-bagging-lb-1120-596", "kernel_id": "108457"}, {"ref": "beastiebox/notebook4a7dc671d7", "kernel_id": "110053"}, {"ref": "shumpathy/tensorflow-dnnregressor", "kernel_id": "119530"}, {"ref": "shumpathy/tensorflow-dnnregressor-f243ee3f", "kernel_id": "126361"}, {"ref": "danielnuno/notebook7eff2b6122", "kernel_id": "124847"}, {"ref": "cklwankaggle/notebook23f4b891ad", "kernel_id": "112945"}, {"ref": "cklwankaggle/notebookd80acc31ec", "kernel_id": "113161"}, {"ref": "cklwankaggle/notebook9717deb0ad", "kernel_id": "113198"}, {"ref": "cklwankaggle/notebook6e64e09850", "kernel_id": "113947"}, {"ref": "kkamran/simple-random-forest-application", "kernel_id": "106270"}, {"ref": "jubinthomas/testjubin", "kernel_id": "104388"}, {"ref": "wuqknjust/notebook9ab0d45170", "kernel_id": "106852"}, {"ref": "jamiechung/exploratory-study-on-ml-algorithms", "kernel_id": "108784"}, {"ref": "jamiechung/exploratory-study-on-ml-algorithms-6db13701", "kernel_id": "109432"}, {"ref": "ravichinoy/notebookbfffe78681", "kernel_id": "106237"}, {"ref": "ravichinoy/notebook233f4f8b39", "kernel_id": "106238"}, {"ref": "ravichinoy/notebookfbb0e94346", "kernel_id": "106228"}, {"ref": "mnabaee/fork-of-keras-with-tensorflow-backend", "kernel_id": "123151"}, {"ref": "mnabaee/keras-with-tensorflow-backend", "kernel_id": "105541"}, {"ref": "mnabaee/labelencoding-and-xgb-cv", "kernel_id": "104488"}, {"ref": "mnabaee/notebook95404c46b1", "kernel_id": "105113"}, {"ref": "zeyuhuang/notebook93d46bb939", "kernel_id": "110951"}, {"ref": "lndmitry/yet-another-xgb-starter", "kernel_id": "104230"}, {"ref": "drrudy/hello-world", "kernel_id": "111542"}, {"ref": "drrudy/notebook6946106c04", "kernel_id": "111550"}, {"ref": "prashantendley/notebookf04e285194", "kernel_id": "109674"}, {"ref": "prashantendley/abcde", "kernel_id": "109671"}, {"ref": "marissah/notebookfa57cd8ad8", "kernel_id": "114912"}, {"ref": "marissah/just-an-easy-solution", "kernel_id": "115836"}, {"ref": "mekena/notebooka502c1a24f", "kernel_id": "119016"}, {"ref": "sarahpolak/notebookcc349593a2", "kernel_id": "114697"}, {"ref": "sophiexxx/notebook2010950164", "kernel_id": "120309"}, {"ref": "johnbi/exploratory-study-on-ml-algorithms", "kernel_id": "130055"}, {"ref": "rezahosseini/allstate-feature-analysis-python", "kernel_id": "117235"}, {"ref": "ambikarana/exploratory-study-on-ml-algorithms", "kernel_id": "109020"}, {"ref": "njindal17/visualizing-mean-loss-per-feature-value", "kernel_id": "154767"}, {"ref": "njindal17/exploratory-study-on-ml-algorithms", "kernel_id": "154769"}, {"ref": "njindal17/all-state-eda-feature-importance", "kernel_id": "154753"}, {"ref": "phaedrush/exploratory-study-on-ml-algorithms", "kernel_id": "124702"}, {"ref": "bolajio/all-state-claim", "kernel_id": "104187"}, {"ref": "alexsvozil/my-first-kaggle-submission", "kernel_id": "105551"}, {"ref": "romelikethecity/all-state-kernel", "kernel_id": "107043"}, {"ref": "scrypy/stacking-starter", "kernel_id": "104784"}, {"ref": "olehshyshkin/notebook46e537366f", "kernel_id": "110129"}, {"ref": "samuelhaberthuer/how-about-a-linear-model", "kernel_id": "120125"}, {"ref": "brabbitlee/exploratory-study-on-ml-algorithms", "kernel_id": "110352"}, {"ref": "madhugarlapati/notebook50d93bad4b", "kernel_id": "111857"}, {"ref": "alphasue/tempscript", "kernel_id": "105084"}, {"ref": "samuellee7/exploratory-study-on-ml-algorithms", "kernel_id": "110743"}, {"ref": "sajithsankar/notebook26d379e1a9", "kernel_id": "108045"}, {"ref": "pganjoo/just-an-easy-solution", "kernel_id": "107348"}, {"ref": "josephvb/exploratory-study-on-ml-algorithms", "kernel_id": "118486"}, {"ref": "woonibox/notebook4e13d3855a", "kernel_id": "114412"}, {"ref": "subbuinv/my-first-attempt-in-kagglle", "kernel_id": "105248"}, {"ref": "subbuinv/notebooke3689e7013", "kernel_id": "105239"}, {"ref": "jozefaka/notebook3f06dc4e08", "kernel_id": "109697"}, {"ref": "islas27/notebookd4950915f6", "kernel_id": "123976"}, {"ref": "track217/exploratory-study-on-ml-algorithms", "kernel_id": "124170"}, {"ref": "kumaranand/kumar-anand-allstate-xgboost2", "kernel_id": "112133"}, {"ref": "kumaranand/kumar-anand-allstate-2", "kernel_id": "108881"}, {"ref": "isaac47/notebook35fb31386d", "kernel_id": "107319"}, {"ref": "ingrid/markov-chain-monte-carlo", "kernel_id": "123061"}, {"ref": "mbeigel/notebook7a9aad53d7", "kernel_id": "104750"}, {"ref": "jerrywu0904/exploratory-study-on-ml-algorithms", "kernel_id": "217035"}, {"ref": "r0zeabi/exploratory-study-on-ml-algorithms-84e0e98c", "kernel_id": "127464"}, {"ref": "r0zeabi/exploratory-study-on-ml-algorithms", "kernel_id": "124121"}, {"ref": "chisq1564/firsttryoct17", "kernel_id": "107070"}, {"ref": "chisq1564/notebookbebcd8a39e", "kernel_id": "107066"}, {"ref": "golfspin/test11", "kernel_id": "104156"}, {"ref": "golfspin/just-a-test", "kernel_id": "104730"}, {"ref": "shivdev/notebookbaa35864b3", "kernel_id": "107416"}, {"ref": "jiashenliu/try-5-classifiers-by-python-2-and-question", "kernel_id": "105472"}, {"ref": "jiashenliu/different-classifier-showcase-and-question", "kernel_id": "106791"}, {"ref": "tsa001/allstate-feature-analysis-python", "kernel_id": "107102"}, {"ref": "razaaflak/notebook5327d8da72", "kernel_id": "104227"}, {"ref": "razaaflak/notebookb459af3898", "kernel_id": "104964"}, {"ref": "razaaflak/notebook3d5cc14d3c", "kernel_id": "105479"}, {"ref": "razaaflak/allstate-feature-analysis-python", "kernel_id": "105663"}, {"ref": "razaaflak/labelencoding-and-xgb-cv", "kernel_id": "105939"}, {"ref": "samlow/notebook636c032a6e", "kernel_id": "160530"}, {"ref": "arjunsinghyadav2/notebook781f6108b5", "kernel_id": "118971"}, {"ref": "klenty/notebook0f5adc5f04", "kernel_id": "118466"}, {"ref": "klenty/exploratory-study-on-ml-algorithms", "kernel_id": "120477"}, {"ref": "frontier45/simple-mlp-regression-with-keras-for-allstate", "kernel_id": "104706"}, {"ref": "motomizuki/allstate-claims-severity", "kernel_id": "105327"}, {"ref": "jjoc007/prueba", "kernel_id": "104012"}, {"ref": "jeffsd/notebook2b196853ab", "kernel_id": "104147"}, {"ref": "jeffsd/kaggle-allstate", "kernel_id": "105133"}, {"ref": "rjais2/notebook1f9b87eda6", "kernel_id": "128062"}, {"ref": "amit2312/sample", "kernel_id": "105128"}, {"ref": "amit2312/test12", "kernel_id": "105283"}, {"ref": "amit2312/notebook77a16a4517", "kernel_id": "105489"}, {"ref": "kandra79/exploratory-study-on-ml-algorithms", "kernel_id": "109656"}, {"ref": "zyunzhou/notebook87847b900b", "kernel_id": "121197"}, {"ref": "zyunzhou/exercise", "kernel_id": "121198"}, {"ref": "zyunzhou/notebook9e35e35b0f", "kernel_id": "121206"}, {"ref": "zyunzhou/notebook14ef130085", "kernel_id": "121087"}, {"ref": "munichpavel/exploratory-study-on-ml-algorithms", "kernel_id": "110111"}, {"ref": "jcross/categorical-embedding-with-xgb", "kernel_id": "143598"}, {"ref": "sydvicious13/test-v-1", "kernel_id": "103985"}, {"ref": "sonder/exploratory-study-on-ml-algorithms", "kernel_id": "216484"}, {"ref": "nightshade7/notebook018193cca4", "kernel_id": "116586"}, {"ref": "nightshade7/allstate-severity-test", "kernel_id": "116485"}, {"ref": "nightshade7/allstatetest", "kernel_id": "110630"}, {"ref": "hitlrr/allstate-analysis", "kernel_id": "106861"}, {"ref": "shashikantayyala/notebooked2779114d", "kernel_id": "106733"}, {"ref": "phanikiran99/notebookd7838e2de7", "kernel_id": "105415"}, {"ref": "srikhs/exploratory-study-on-ml-algorithms", "kernel_id": "125136"}, {"ref": "srikhs/notebookcb030027ed", "kernel_id": "126169"}, {"ref": "vfong2/vf-project-3", "kernel_id": "117475"}, {"ref": "qingzewang/exploratory-study-on-ml-algorithms", "kernel_id": "106884"}, {"ref": "jrcolecity/notebookd62d2579e2", "kernel_id": "103974"}, {"ref": "karlstat/exploratory-study-on-ml-algorithms", "kernel_id": "108939"}, {"ref": "ollymitch/notebook9906789f61", "kernel_id": "104250"}, {"ref": "ollymitch/notebookf70620337c", "kernel_id": "104879"}, {"ref": "fabriceyhc/just-an-easy-solution", "kernel_id": "109069"}, {"ref": "mcguppy/test-script-oct-16", "kernel_id": "106709"}, {"ref": "mcguppy/test-script", "kernel_id": "106702"}, {"ref": "cornholio1011/xgb1113", "kernel_id": "126388"}, {"ref": "rdcolema/allstate-preds", "kernel_id": "105201"}, {"ref": "brandonma/testbrandon", "kernel_id": "113497"}, {"ref": "brandonma/allstate-brandonmasjca", "kernel_id": "111872"}, {"ref": "chloe98/notebook5cef226755", "kernel_id": "118699"}, {"ref": "mikhailyurasov/notebook1bd3bbddbe", "kernel_id": "104737"}, {"ref": "mikhailyurasov/vectorizing-categorical-features", "kernel_id": "105610"}, {"ref": "mikhailyurasov/notebook374fe7321c", "kernel_id": "105717"}, {"ref": "man2manno/first-script", "kernel_id": "108718"}, {"ref": "superraja/exploratory-study-on-ml-algorithms", "kernel_id": "226995"}, {"ref": "itownleys/notebookcc2f29132c", "kernel_id": "124444"}, {"ref": "itownleys/xgboost-starter-lb-score-1128-9", "kernel_id": "124993"}, {"ref": "itownleys/test2", "kernel_id": "125000"}, {"ref": "irisliu/exploratory-study-on-ml-algorithms", "kernel_id": "121962"}, {"ref": "lzhang18/notebook88ff77a487", "kernel_id": "111839"}, {"ref": "lzhang18/notebook258cc4592d", "kernel_id": "111731"}, {"ref": "lzhang18/notebooka6f51dd39e", "kernel_id": "112078"}, {"ref": "bohdanosadchyi/notebookcd465e8967", "kernel_id": "113306"}, {"ref": "santoshsood/simple-eda-feature-transformations-20e52165", "kernel_id": "117017"}, {"ref": "santoshsood/simple-eda-feature-transformations", "kernel_id": "116935"}, {"ref": "santoshsood/allstate-feature-analysis-python", "kernel_id": "117419"}, {"ref": "delemeator/notebookc19b9b172e", "kernel_id": "109983"}, {"ref": "delemeator/xgboost-mxnet-in-r", "kernel_id": "109986"}, {"ref": "aparikh98/exploratory-study-on-ml-algorithms", "kernel_id": "125044"}, {"ref": "aparikh98/exploratory-study-on-ml-algorithms-971ea0cd", "kernel_id": "125045"}, {"ref": "mariusbo/xgb-lb-1106-33084", "kernel_id": "123979"}, {"ref": "mariusbo/lexical-encoding-feature-comb-lb-1109-05787", "kernel_id": "118120"}, {"ref": "hkdonald/allstate-feature-analysis-python-cee26815", "kernel_id": "120401"}, {"ref": "hkdonald/notebookf82bd72ab2", "kernel_id": "117603"}, {"ref": "hkdonald/allstate-feature-analysis-python", "kernel_id": "117625"}, {"ref": "sd4174263/notebookc734e46548", "kernel_id": "118545"}, {"ref": "yapweiyih/allstate-claims-severity-prediction", "kernel_id": "105305"}, {"ref": "socathie/stacking-starter", "kernel_id": "104058"}, {"ref": "jasonlaw/notebook2fc9183d7d", "kernel_id": "114778"}, {"ref": "squizduos/notebook2784088576", "kernel_id": "129746"}, {"ref": "squizduos/just-an-easy-solution", "kernel_id": "129614"}, {"ref": "taniaconceicao/notebooka53a9a7f38", "kernel_id": "112508"}, {"ref": "leonardocardoso/braga-alg-tests", "kernel_id": "118783"}, {"ref": "leonardocardoso/notebookb7bd748039", "kernel_id": "119023"}, {"ref": "bradysheehan/exploratory-study-on-ml-algorithms", "kernel_id": "138864"}, {"ref": "aepereira/testy-test", "kernel_id": "107002"}, {"ref": "polkach/notebook2e35845805", "kernel_id": "116454"}, {"ref": "shaimaam/notebookd0359441c1", "kernel_id": "105383"}, {"ref": "pminder/notebook2ddcf69d28", "kernel_id": "104446"}, {"ref": "pminder/prise-en-main-de-kaggle", "kernel_id": "104562"}, {"ref": "vicchao/notebook65ee5cd73a", "kernel_id": "129848"}, {"ref": "nckrdr/exploratory-study-on-ml-algorithms", "kernel_id": "120871"}, {"ref": "gabrielhudak/allstate-initial-play", "kernel_id": "108726"}, {"ref": "gabrielhudak/notebook30ebb8ed56", "kernel_id": "108463"}, {"ref": "gabrielhudak/notebooka7bed2744e", "kernel_id": "109311"}, {"ref": "chakriv88/notebook3a2cf87db8", "kernel_id": "110632"}, {"ref": "chakriv88/exploratory-study-on-ml-algorithms-2bea0220", "kernel_id": "113396"}, {"ref": "den3b81/untitled", "kernel_id": "135023"}, {"ref": "den3b81/exploratory-study-on-ml-algorithms", "kernel_id": "108663"}, {"ref": "den3b81/exploratory-study-on-ml-algorithms-ae8df937", "kernel_id": "109220"}, {"ref": "alazark/allstateclaims", "kernel_id": "109617"}, {"ref": "hinchou/allstate", "kernel_id": "109366"}, {"ref": "dvillero/notebooke2ef13cb20", "kernel_id": "115656"}, {"ref": "navaneeth51089/notebookfaf92923ac", "kernel_id": "114847"}, {"ref": "navaneeth51089/allstate-report", "kernel_id": "114850"}, {"ref": "jastie/exploratory-study-on-ml-algorithms", "kernel_id": "112169"}, {"ref": "smist08/all-state-eda-feature-importance", "kernel_id": "106321"}, {"ref": "lakomka33/xgb-lb-1106-33084", "kernel_id": "131123"}, {"ref": "ewillmot/linear-regression-predicting-very-large-numbers", "kernel_id": "109717"}, {"ref": "magdalenas/notebook4dc148774c", "kernel_id": "115553"}, {"ref": "zijinwang/keras-starter-with-bagging-lb-1120-596", "kernel_id": "110669"}, {"ref": "zijinwang/allstate-eda", "kernel_id": "110663"}, {"ref": "psy0814/notebook0dc6a75aa7", "kernel_id": "104768"}, {"ref": "psy0814/test-psy", "kernel_id": "105784"}, {"ref": "psy0814/notebooka4b3407f46", "kernel_id": "107499"}, {"ref": "psy0814/notebookc9e4188568", "kernel_id": "106686"}, {"ref": "psy0814/exploratory-study-on-ml-algorithms", "kernel_id": "110244"}, {"ref": "coconutninja/myfirstworkbook", "kernel_id": "107799"}, {"ref": "coconutninja/competition-notebook", "kernel_id": "107833"}, {"ref": "olegkheyfets/notebook22e2f59ac1", "kernel_id": "119906"}, {"ref": "olegkheyfets/xgb-1110-from-vladimir-iglovikov-and-tilii7", "kernel_id": "119907"}, {"ref": "oviera/exploratory-study-on-ml-algorithms", "kernel_id": "110612"}, {"ref": "yossisal/allstate", "kernel_id": "119790"}, {"ref": "donaldspear/notebook4872a7b4d1", "kernel_id": "130567"}, {"ref": "donaldspear/markov-chain-monte-carlo", "kernel_id": "130666"}, {"ref": "dneprovskaya/notebookb5411ef473", "kernel_id": "119877"}, {"ref": "lookman/notebook017a8c72a5", "kernel_id": "118359"}, {"ref": "paiflare/notebookce1701e695", "kernel_id": "116313"}, {"ref": "sshekhar/exploratory-study-on-ml-algorithms-2f0717a7", "kernel_id": "111282"}, {"ref": "sshekhar/exploratory-study-on-ml-algorithms", "kernel_id": "111176"}, {"ref": "sshekhar/exploratory-study-on-ml-algorithms-0222cb22", "kernel_id": "131114"}, {"ref": "davidli/notebook84d4850d7a", "kernel_id": "111377"}, {"ref": "davidli/notebook093228720a", "kernel_id": "111682"}, {"ref": "davidli/notebook342f13a828", "kernel_id": "115427"}, {"ref": "davidli/notebooka8dcd71c37", "kernel_id": "122017"}, {"ref": "ksmshankar/exploratory-study-on-ml-algorithms", "kernel_id": "226399"}, {"ref": "jianshefeng/markov-chain-monte-carlo-ce2d2421", "kernel_id": "131609"}, {"ref": "jianshefeng/markov-chain-monte-carlo", "kernel_id": "126312"}, {"ref": "john1of7/notebooka7fc8c56a4", "kernel_id": "118985"}, {"ref": "whocaresyou/exploratory-study-on-ml-algorithms-aa628237", "kernel_id": "161899"}, {"ref": "whocaresyou/exploratory-study-on-ml-algorithms", "kernel_id": "133125"}, {"ref": "wangxx/program", "kernel_id": "104407"}, {"ref": "rafaleo/tensorflow-dnnregressor", "kernel_id": "114625"}, {"ref": "rafaleo/btb-1142-45733", "kernel_id": "114642"}, {"ref": "kshankar/just-an-easy-solution", "kernel_id": "104803"}, {"ref": "yangjunye/test-1", "kernel_id": "114704"}, {"ref": "lyubap/notebook002bc74755", "kernel_id": "110030"}, {"ref": "luyaolin/notebookf42d07fcad", "kernel_id": "105509"}, {"ref": "inventer/notebook9986db1cbd", "kernel_id": "106065"}, {"ref": "gaojianj96/notebookd7e6fe77b1", "kernel_id": "105290"}, {"ref": "goofyfoot/exploratory-study-on-ml-algorithms", "kernel_id": "110120"}, {"ref": "dataguy12/notebook1dfe8319b5", "kernel_id": "105451"}, {"ref": "greek0/the-first-kaggle-submission", "kernel_id": "105535"}, {"ref": "greek0/the-first-kaggle-submission-88816e4c", "kernel_id": "105602"}, {"ref": "cbonitz/the-first-kaggle-submission", "kernel_id": "105540"}, {"ref": "coffeemug13/the-first-kaggle-submission", "kernel_id": "105534"}, {"ref": "asebist/the-first-kaggle-submission", "kernel_id": "105539"}, {"ref": "jjabbour/notebook490e1bbc23", "kernel_id": "105688"}, {"ref": "marcolivierarsenault/notebook5bc3bed5ea", "kernel_id": "105845"}, {"ref": "omonnier/impact-of-categories-encoding-on-the-model-perf", "kernel_id": "125230"}, {"ref": "xujin1982/ensemble-weights-minimization-vs-mcmc", "kernel_id": "133031"}, {"ref": "xujin1982/notebook7632569c86", "kernel_id": "120335"}, {"ref": "xujin1982/notebooka02b00324c", "kernel_id": "120303"}, {"ref": "xujin1982/starter-for-pylightgbm-lb-1115", "kernel_id": "120291"}, {"ref": "alhigzi/exploratory-study-on-ml-algorithms", "kernel_id": "107769"}, {"ref": "freemanchan/notebook70b3c20977", "kernel_id": "115063"}, {"ref": "chakra21/allstate-feature-analysis-python", "kernel_id": "130002"}, {"ref": "chakra21/notebook160aba7adf", "kernel_id": "129995"}, {"ref": "levantrung/notebook87699548c1", "kernel_id": "107653"}, {"ref": "amarasekara/exploratory-study-on-ml-algorithms", "kernel_id": "123679"}, {"ref": "atsu67/notebook5eabb46f15", "kernel_id": "106768"}, {"ref": "adityaroyal/exploratory-study-on-ml-algorithms-2dbdac", "kernel_id": "209416"}, {"ref": "incivile/exploratory-study-on-ml-algorithms", "kernel_id": "110100"}, {"ref": "jmseman/jmtest", "kernel_id": "124547"}, {"ref": "jmseman/markov-chain-monte-carlo-a929732a", "kernel_id": "131666"}, {"ref": "jmseman/r-script-scoring-1113-93-on-plb", "kernel_id": "127855"}, {"ref": "jmseman/markov-chain-monte-carlo", "kernel_id": "127857"}, {"ref": "doanducqui/test8", "kernel_id": "131830"}, {"ref": "doanducqui/msubx", "kernel_id": "133989"}, {"ref": "doanducqui/notebook85fe2081e6", "kernel_id": "133466"}, {"ref": "temkahap/allstate-feature-analysis-python", "kernel_id": "118767"}, {"ref": "mattpendergraft/allstate-initial-analysis", "kernel_id": "108509"}, {"ref": "zhenqiangx/notebook623f807bd1", "kernel_id": "123444"}, {"ref": "zhenqiangx/notebook26f01a26cb", "kernel_id": "127888"}, {"ref": "adadoun27/exploratory-study-on-ml-algorithms", "kernel_id": "249423"}, {"ref": "josmoreira/notebook3d65eb032f", "kernel_id": "107376"}, {"ref": "giandam/notebook3fa312365c", "kernel_id": "134296"}, {"ref": "karora/exploratory-study-on-ml-algorithms", "kernel_id": "107902"}, {"ref": "knighthawk989/notebook0a701e4280", "kernel_id": "188951"}, {"ref": "pmittal2235/allstate-feature-analysis-python", "kernel_id": "120944"}, {"ref": "bwsky8/testing", "kernel_id": "108387"}, {"ref": "tennistats7/notebooka2fc13db69", "kernel_id": "108420"}, {"ref": "hansky/exploratory-study-on-ml-algorithms", "kernel_id": "121487"}, {"ref": "rohitghole/notebook23adc3a595", "kernel_id": "115306"}, {"ref": "grantgelven/notebook18577e2b31", "kernel_id": "108760"}, {"ref": "monkeyzxr/notebook72b5cf6ff6", "kernel_id": "113543"}, {"ref": "judy002933/notebookb32beffa80", "kernel_id": "111982"}, {"ref": "judy002933/notebook5f150e4071", "kernel_id": "114323"}, {"ref": "askelton/alexasf", "kernel_id": "109467"}, {"ref": "randolphyao007/notebook90d76e2729", "kernel_id": "122463"}, {"ref": "attilathepun/allstate-data-analysis", "kernel_id": "114530"}, {"ref": "tripb55/notebook28ed04ddb0", "kernel_id": "110860"}, {"ref": "wolsson3/exploratory-study-on-ml-algorithms", "kernel_id": "122178"}, {"ref": "maikelele/notebook053ce03387", "kernel_id": "112627"}, {"ref": "maikelele/testing", "kernel_id": "112628"}, {"ref": "zzdu2013/first-try", "kernel_id": "116187"}, {"ref": "zzdu2013/notebooke81e6c5a24", "kernel_id": "118114"}, {"ref": "zzdu2013/second-try", "kernel_id": "118115"}, {"ref": "aprocter/notebookc60638954f", "kernel_id": "119535"}, {"ref": "cdepeuter/cdprf", "kernel_id": "116894"}, {"ref": "yolanda2013/notebookeac6452938", "kernel_id": "112950"}, {"ref": "mass2016/quick-look-at-clusters", "kernel_id": "311080"}, {"ref": "chaom1026/notebook971b0cf45b", "kernel_id": "114239"}, {"ref": "datajanitor/testing", "kernel_id": "119656"}, {"ref": "noobpepe/exploratory-study-on-ml-algorithms", "kernel_id": "120501"}, {"ref": "jiaojiaoloveu/jiaojiaotest", "kernel_id": "115386"}, {"ref": "jiaojiaoloveu/testing", "kernel_id": "115424"}, {"ref": "jiaojiaoloveu/notebook518ae93f4a", "kernel_id": "116553"}, {"ref": "jiaojiaoloveu/notebook2cc1bd4adb", "kernel_id": "117177"}, {"ref": "jiaojiaoloveu/notebookb7d098a3bd", "kernel_id": "117388"}, {"ref": "visajdesai/simple-eda-feature-transformations", "kernel_id": "122326"}, {"ref": "visajdesai/simple-eda-feature-transformations-80a89e01", "kernel_id": "122327"}, {"ref": "visajdesai/allstate-feature-analysis-python", "kernel_id": "122328"}, {"ref": "sandeepanilkumar/xgboost-xgbregressor", "kernel_id": "126195"}, {"ref": "sandeepanilkumar/xgbregressor-with-best-params", "kernel_id": "126229"}, {"ref": "louisng/notebook383a117c97", "kernel_id": "118244"}, {"ref": "amishr6/allstate", "kernel_id": "122793"}, {"ref": "amishr6/insurance-claim", "kernel_id": "114537"}, {"ref": "yamaggle/acsjy1", "kernel_id": "135401"}, {"ref": "yamaggle/notebook6a010fe24a", "kernel_id": "129568"}, {"ref": "yamaggle/notebookb1906c8037", "kernel_id": "128728"}, {"ref": "yamaggle/notebook96450c21ad", "kernel_id": "120733"}, {"ref": "tminus/allstate-feature-analysis-python", "kernel_id": "122510"}, {"ref": "tminus/exploratory-study-on-ml-algorithms", "kernel_id": "122503"}, {"ref": "kacky24/allstate-feature-analysis-python", "kernel_id": "175848"}, {"ref": "kacky24/notebook230c3df0be", "kernel_id": "122591"}, {"ref": "kacky24/exploratory-study-on-ml-algorithms", "kernel_id": "120214"}, {"ref": "veronicacoronel/notebookdfdc300a97", "kernel_id": "124312"}, {"ref": "veronicacoronel/notebookee15e2c7d8", "kernel_id": "124338"}, {"ref": "moominbamboo/notebookbd9d923378", "kernel_id": "121245"}, {"ref": "kkakay/exploratory-study-on-ml-algorithms", "kernel_id": "123394"}, {"ref": "husenzhang/notebook29665ac45f", "kernel_id": "124426"}, {"ref": "toantran/notebook3df36cbf75", "kernel_id": "115723"}, {"ref": "andreistirb/my-first-notebook", "kernel_id": "232804"}, {"ref": "pristavskiy/exploratory-study-on-ml-algorithms", "kernel_id": "116306"}, {"ref": "pristavskiy/notebook10e4be47e9", "kernel_id": "119355"}, {"ref": "martingundersen/exploratory-study-on-ml-algorithms", "kernel_id": "245558"}, {"ref": "astrus/exploratory-study-on-ml-algorithms-363e21", "kernel_id": "251702"}, {"ref": "astrus/exploratory-study-on-ml-algorithms", "kernel_id": "248369"}, {"ref": "minoriinoue/notebookf02b3eb7e7", "kernel_id": "120024"}, {"ref": "matthewselee/notebookd5ece16ab6", "kernel_id": "130773"}, {"ref": "cgreene/exploratory-study-on-ml-algorithms", "kernel_id": "116384"}, {"ref": "macrogers/notebook856912e0f6", "kernel_id": "117434"}, {"ref": "chendan08/exploratory-study-on-ml-algorithms-3fe586f4", "kernel_id": "154400"}, {"ref": "belgamdon/markov-chain-monte-carlo", "kernel_id": "124236"}, {"ref": "mpesek3/exploratory-study-on-ml-algorithms", "kernel_id": "130054"}, {"ref": "mikerose/notebookaa7e02bff2", "kernel_id": "117525"}, {"ref": "ericiscool/notebookeeed519990", "kernel_id": "119022"}, {"ref": "marouanezaamoun/notebook1ad2750b15", "kernel_id": "122626"}, {"ref": "twinsboy48/markov-chain-monte-carlo", "kernel_id": "123997"}, {"ref": "thoughtnerve/notebookf568aca38a", "kernel_id": "118523"}, {"ref": "thoughtnerve/notebooke0082d8edc", "kernel_id": "118828"}, {"ref": "opreka/exploratory-study-on-ml-algorithms", "kernel_id": "124332"}, {"ref": "kbds1234/notebookb7be87bd65", "kernel_id": "167988"}, {"ref": "emilyfan/initial-eda-for-continuous-variables", "kernel_id": "130950"}, {"ref": "vipnikki/notebookd985fffb85", "kernel_id": "150857"}, {"ref": "vipnikki/notebookc21b132bcb", "kernel_id": "147271"}, {"ref": "vipnikki/fgdfgdfg", "kernel_id": "146194"}, {"ref": "wburgess/notebook7f21885cb3", "kernel_id": "118496"}, {"ref": "rohsurve/feature-analysis", "kernel_id": "134872"}, {"ref": "rohsurve/pca-regression", "kernel_id": "134914"}, {"ref": "raghavendrab/notebookc8e9b0605e", "kernel_id": "119578"}, {"ref": "raghavendrab/allstate-claims-prediction", "kernel_id": "119564"}, {"ref": "raghavendrab/notebooka8dfed1263", "kernel_id": "124529"}, {"ref": "raghavendrab/notebook30be776fb5", "kernel_id": "124558"}, {"ref": "raghavendrab/notebooke31da2d8d1", "kernel_id": "124559"}, {"ref": "qqzhao/testofotherscodes", "kernel_id": "124065"}, {"ref": "skncsu/notebook4f085d2eca", "kernel_id": "120381"}, {"ref": "syncme/notebookce0dd77c88", "kernel_id": "122422"}, {"ref": "cloudly/allstate-claims-severity", "kernel_id": "291943"}, {"ref": "kaylim/notebook66be8e7c85", "kernel_id": "121445"}, {"ref": "xixibing/simple-xgb-with-5cv-lb-1114-for-starter", "kernel_id": "121001"}, {"ref": "cseavers/notebook6cf0f96d25", "kernel_id": "128570"}, {"ref": "dheerajgopi/exploratory-study-on-ml-algorithms", "kernel_id": "223460"}, {"ref": "subramanyampogili/notebook906cfb3cc2", "kernel_id": "125019"}, {"ref": "cdannen/exploratory-study-on-ml-algorithms", "kernel_id": "164257"}, {"ref": "zhenalen/xgbregressor-allstate-claims-severity", "kernel_id": "151442"}, {"ref": "zhenalen/allstate-feature-analysis-python", "kernel_id": "151475"}, {"ref": "superalgorithm/notebook23ba74be71", "kernel_id": "124935"}, {"ref": "xiaoyao70v/notebookdbc8107d98", "kernel_id": "205952"}, {"ref": "xiaoyao70v/notebookad54b99ce7", "kernel_id": "205143"}, {"ref": "yonatanmedan/mystarterscriptadghkkhfjhfdfg", "kernel_id": "127933"}, {"ref": "trishalachalasani/notebookcc4372551e", "kernel_id": "126034"}, {"ref": "binaygupta/notebook4c6125ff2f", "kernel_id": "123019"}, {"ref": "malvikakumar/notebooka55f9b030e", "kernel_id": "126085"}, {"ref": "papachauhan/exploratory-study-on-ml-algorithms", "kernel_id": "256028"}, {"ref": "vigilanf/notebook37c652f995", "kernel_id": "126090"}, {"ref": "vigilanf/notebook408fd5a4d4", "kernel_id": "124911"}, {"ref": "vigilanf/linear-regression-allstate-notebook-big-losses", "kernel_id": "127398"}, {"ref": "vigilanf/allstate-tensorflow", "kernel_id": "133126"}, {"ref": "vigilanf/notebookcb1522bca6", "kernel_id": "124527"}, {"ref": "vigilanf/working-allstate-notebook", "kernel_id": "124555"}, {"ref": "vigilanf/notebook6eed2f664d", "kernel_id": "124470"}, {"ref": "juanpa/exploratory-study-on-ml-algorithms", "kernel_id": "252627"}, {"ref": "juanpa/exploratory-study-on-ml-algorithms-3406c1", "kernel_id": "259270"}, {"ref": "heeba117/notebookd55faf095a", "kernel_id": "124918"}, {"ref": "didioch/notebook73116df4cb", "kernel_id": "125265"}, {"ref": "rpersd/exploratory-study-on-ml-algorithms-6418a951", "kernel_id": "142518"}, {"ref": "rpersd/exploratory-study-on-ml-algorithms-4c41a359", "kernel_id": "141578"}, {"ref": "rpersd/just-an-easy-solution", "kernel_id": "127319"}, {"ref": "rpersd/exploratory-study-on-ml-algorithms", "kernel_id": "127377"}, {"ref": "rpersd/exploratory-study-on-ml-algorithms-ebb4770f", "kernel_id": "129052"}, {"ref": "prashantr06/exploratory-study-on-ml-algorithms", "kernel_id": "126243"}, {"ref": "rafsanjani/exploratory-study-on-ml-algorithms", "kernel_id": "295164"}, {"ref": "smurph35/notebooka253a8347c", "kernel_id": "127160"}, {"ref": "andrewcrab/notebooka62aae5988", "kernel_id": "127500"}, {"ref": "pan20ir/test-new", "kernel_id": "128591"}, {"ref": "hhyhhyhy/exploratory-study-on-ml-algorithms", "kernel_id": "247682"}, {"ref": "sujunhao/exploratory-study-on-ml-algorithms", "kernel_id": "216184"}, {"ref": "seven0907/exploratory-study-on-ml-algorithms", "kernel_id": "135897"}, {"ref": "siriuscorp/save-the-name-pls", "kernel_id": "259705"}, {"ref": "z0mbie/exploratory-study-on-ml-algorithms", "kernel_id": "139186"}, {"ref": "abhishekaarush/exploratory-study-on-ml-algorithms", "kernel_id": "144710"}, {"ref": "chamauss/exploratory-study-on-ml-algorithms", "kernel_id": "142386"}, {"ref": "sdes1513/exploratory-study-on-ml-algorithms", "kernel_id": "142457"}, {"ref": "teddian/tensorflow-dnnregressor", "kernel_id": "154700"}, {"ref": "freya1934/exploratory-study-on-ml-algorithms", "kernel_id": "149216"}, {"ref": "liamjf/exploratory-study-on-ml-algorithms", "kernel_id": "233455"}, {"ref": "liamjf/exploratory-study-on-ml-algorithms-c87067", "kernel_id": "234515"}, {"ref": "liamjf/exploratory-study-on-ml-algorithms-d74dfe", "kernel_id": "256459"}, {"ref": "toporischev/exploratory-study-on-ml-algorithms", "kernel_id": "165522"}, {"ref": "jsyadav/exploratory-study-on-ml-algorithms", "kernel_id": "155117"}, {"ref": "david00zhang/just-an-easy-solution-mod-5f6daa", "kernel_id": "194542"}, {"ref": "david00zhang/just-an-easy-solution-mod", "kernel_id": "192498"}, {"ref": "xbmatrix/notebooka81a97222e", "kernel_id": "229666"}, {"ref": "miketree/exploratory-study-on-ml-algorithms-714f1b", "kernel_id": "205693"}, {"ref": "miketree/exploratory-study-on-ml-algorithms-bcf4d2", "kernel_id": "207653"}, {"ref": "miketree/notebook5750025c73", "kernel_id": "207669"}, {"ref": "miketree/exploratory-study-on-ml-algorithms-b63d56", "kernel_id": "206155"}, {"ref": "flotha/exploratory-study-on-ml-algorithms", "kernel_id": "202331"}, {"ref": "fcarley/test1", "kernel_id": "210051"}, {"ref": "fcarley/exploratory-study-on-ml-algorithms-856e8d", "kernel_id": "253915"}, {"ref": "brucedai003/exploratory-study-on-ml-algorithms", "kernel_id": "201123"}, {"ref": "rajkamalsrivastav/allstate-claims-severity", "kernel_id": "413483"}, {"ref": "cattan/notebook547458934b", "kernel_id": "187777"}, {"ref": "cattan/notebookffc37a879a", "kernel_id": "187773"}, {"ref": "cattan/notebookc16c996ddc", "kernel_id": "188185"}, {"ref": "alpenglocken/exploratory-study-on-ml-algorithms", "kernel_id": "188827"}, {"ref": "alespa/exploratory-study-on-ml-algorithms", "kernel_id": "270177"}, {"ref": "blomhav/exploratory-study-on-ml-algorithms", "kernel_id": "190081"}, {"ref": "jfzhang1995/exploratory-study-on-ml-algorithms", "kernel_id": "229536"}, {"ref": "aoifebyrne/exploratory-study-on-ml-algorithms", "kernel_id": "265652"}, {"ref": "totalbro/notebookafdf59d7ce", "kernel_id": "207650"}, {"ref": "totalbro/notebook9c3b2d91fa", "kernel_id": "211476"}, {"ref": "totalbro/notebookf0155a603c", "kernel_id": "211648"}, {"ref": "totalbro/myallstate", "kernel_id": "209937"}, {"ref": "totalbro/notebook221a1fe586", "kernel_id": "209355"}, {"ref": "totalbro/notebook3a0e7f2e15", "kernel_id": "214138"}, {"ref": "fengz7/exploratory-study-on-ml-algorithms", "kernel_id": "259770"}, {"ref": "mlkaggle/xgb-1114", "kernel_id": "209496"}, {"ref": "mubashir1/notebookef30a80485", "kernel_id": "252830"}, {"ref": "wsgtcyx/exploratory-study-on-ml-algorithms", "kernel_id": "259556"}, {"ref": "mikerale/exploratory-study-on-ml-algorithms", "kernel_id": "237976"}, {"ref": "fanlxc/exploratory-study-on-ml-algorithms", "kernel_id": "234477"}, {"ref": "tigercakes/exploratory-study-on-ml-algorithms", "kernel_id": "255381"}, {"ref": "dayhaha/notebookb551ef00ef", "kernel_id": "235782"}, {"ref": "dayhaha/exploratory-study-on-ml-algorithms-426261", "kernel_id": "238112"}, {"ref": "parisg/exploratory-study-on-ml-algorithms", "kernel_id": "259211"}, {"ref": "cchouser/visual", "kernel_id": "280735"}, {"ref": "lemonz/exploratory-study-on-ml-algorithms", "kernel_id": "273107"}, {"ref": "yobibytes/exploratory-study-on-ml-algorithms", "kernel_id": "247564"}, {"ref": "angiejones/exploratory-study-on-ml-algorithms", "kernel_id": "249874"}, {"ref": "umalaks/claims", "kernel_id": "273323"}, {"ref": "rajender963/hello-data-science", "kernel_id": "270445"}, {"ref": "bbardak/exploratory-study-on-ml-algorithms", "kernel_id": "271155"}, {"ref": "nnair25/insurance-claim-severity-allstate", "kernel_id": "564089"}, {"ref": "sophieyuepan/exploratory-study-on-ml-algorithms", "kernel_id": "276210"}, {"ref": "sharifniyaz/kernel576238a4e5", "kernel_id": "722837"}, {"ref": "jpprovyn/myfirstkernelallstateseverityxgboost", "kernel_id": "630767"}, {"ref": "andrecn/allstate-challenge-boosting-gbm", "kernel_id": "955295"}, {"ref": "floser/r-starter-lightgbm-regression", "kernel_id": "973136"}, {"ref": "floser/five-minute-model", "kernel_id": "758845"}, {"ref": "floser/farons-stacking-starter", "kernel_id": "1159302"}, {"ref": "raviprakash438/allstate-claims-severity", "kernel_id": "1133470"}, {"ref": "ljjblackpig/exploratory-data-cleaning", "kernel_id": "3349851"}, {"ref": "akshayreddykotha/loss-amount-prediction-for-insurance-policy-claims", "kernel_id": "3788066"}, {"ref": "sundark2012/all-state-claims-serverity-regression-model", "kernel_id": "3212382"}, {"ref": "xiao1987/allstate-claims-eda", "kernel_id": "3598055"}, {"ref": "alathiya/allstate-claim-severity-predictive-modelling", "kernel_id": "3979777"}, {"ref": "deepdreamx/lgbm-only-featureinteraction-selected", "kernel_id": "3513083"}, {"ref": "joemenifee/allstate-claims-correlations", "kernel_id": "4091252"}, {"ref": "cuijamm/allstate-claims-severity-score-1113-12994", "kernel_id": "5942025"}, {"ref": "tianyuanluo/allstate-claims-severity", "kernel_id": "6340883"}, {"ref": "mold52/eda-for-splitted-data", "kernel_id": "6107179"}, {"ref": "omegaji/kernel3fdf9ce177", "kernel_id": "6960001"}, {"ref": "manohar676/explatory-analysis-on-ml-algorithms", "kernel_id": "6027930"}, {"ref": "harshitt21/allstate-claims-severity-eda-and-baseline", "kernel_id": "6546779"}, {"ref": "venkateshprabhug/severity-of-insurance-claim", "kernel_id": "6679235"}, {"ref": "christianrorholtmoe/all-state-claim-severity-neural-net", "kernel_id": "6218169"}, {"ref": "jeromeblanchet/ridge-lasso-coefficients-as-a-function-of-alpha", "kernel_id": "7410427"}, {"ref": "pruthvirajangadi/claims-severity", "kernel_id": "7605674"}, {"ref": "tushvjti/eda-allstate", "kernel_id": "7667564"}, {"ref": "brahma0545/encoding-feature-comb-modkzs-1108-72665", "kernel_id": "8852733"}, {"ref": "arpytanshu/allstate-claims-severity-1260-mae", "kernel_id": "8031677"}, {"ref": "allen21huang/allstate-claims-severity-prediction", "kernel_id": "8170897"}, {"ref": "mdmahmudferdous/allstate-claims-severity-prediction-regression", "kernel_id": "8816116"}, {"ref": "subbhashit/allstate-claims-severity-83-accuracy", "kernel_id": "9902314"}, {"ref": "youweizou/allstate-claims-severity", "kernel_id": "10142069"}, {"ref": "stoneroggy/allstate", "kernel_id": "10586271"}, {"ref": "tunguz/keras-starter-with-bagging-1111-84364", "kernel_id": "11042292"}, {"ref": "prabhashranjan/prabhash-allstate-insurance", "kernel_id": "11844691"}, {"ref": "chandrimad31/insurance-loss-severity-in-depth-model-analysis", "kernel_id": "11087818"}, {"ref": "rahulpawade/allstate-claims-severity-xgboost-regression", "kernel_id": "11418486"}, {"ref": "sarthakjain1234/all-state-notebook", "kernel_id": "12927449"}, {"ref": "summershan/allstate-car-claims-severity", "kernel_id": "13277527"}, {"ref": "akshaydusad/allstate-claims-severity", "kernel_id": "13202148"}, {"ref": "thoengb/predict-insurance-claims-severity-xgboost", "kernel_id": "16161200"}, {"ref": "naidubhavya/insurance-claims-severity-prediction", "kernel_id": "18465862"}, {"ref": "kodurichandan/allstate-models", "kernel_id": "19209147"}, {"ref": "lumanlanc/regression-4-predicting-claim-severity", "kernel_id": "21056062"}, {"ref": "byenhyenmin/reducing-number-of-numerical-features-withpca1", "kernel_id": "22837404"}, {"ref": "tom111989/claim-severity-catboost-mae-1122", "kernel_id": "23768896"}, {"ref": "floser/ads3-2021-allstate-claims-severity", "kernel_id": "25739763"}, {"ref": "valentinkonarski/allstate-severity", "kernel_id": "26104169"}, {"ref": "floser/chatgpt-code", "kernel_id": "33516931"}, {"ref": "jacobj215/allstate-claims-severity", "kernel_id": "38444032"}, {"ref": "amirhoseinsedaghati/loss-amount-prediction-using-catboost", "kernel_id": "40580725"}, {"ref": "bradenmcritchfield/allstate-claims-severity-boosted-tree", "kernel_id": "47741317"}, {"ref": "emilyanderson304326/allstateclaims", "kernel_id": "47315372"}, {"ref": "natercox/acs-random-forest", "kernel_id": "47650633"}, {"ref": "victoriarigby/allstate-linear", "kernel_id": "47683267"}, {"ref": "zachsabey/allstate-claims-rf", "kernel_id": "47479665"}, {"ref": "isaacdowdle/allstate", "kernel_id": "47828440"}, {"ref": "callielunt/allstate-claims-severity-with-boosted-trees", "kernel_id": "71635401"}, {"ref": "carsonbuttars/allstate-claims-severity", "kernel_id": "72816961"}, {"ref": "jacksonhicken/allstateclaims", "kernel_id": "72728172"}, {"ref": "sydneyhoward/allstate-claims-severity-competition", "kernel_id": "72801657"}, {"ref": "bradyheinig/byu-stat-348-final-project", "kernel_id": "72396652"}, {"ref": "nathanchantry/acs-boosted-trees", "kernel_id": "72728238"}, {"ref": "rojaunazalfatthoriq/uas-data-mining", "kernel_id": "85569531"}, {"ref": "fiirmannnn/uas-dm-yusuf-firmansyah", "kernel_id": "85312034"}, {"ref": "mattbaker7/prescriptive-analytics-eda", "kernel_id": "99407286"}, {"ref": "eliseclark/allstate-claim-severity-code", "kernel_id": "101761025"}, {"ref": "joshuawellsmsol/prescriptive-analytics-eda", "kernel_id": "102888329"}, {"ref": "steveolson111/steveolsonallstateclaimsproject", "kernel_id": "103307797"}, {"ref": "mattlines/acs-stat348-final-proj", "kernel_id": "103496405"}, {"ref": "brandonupper/allstate-s348-model-upper", "kernel_id": "103767233"}, {"ref": "wtylerreese/allstate-claims-severity-prediction", "kernel_id": "103614052"}, {"ref": "dillchrish/allstate-dylan-christensen", "kernel_id": "103675462"}, {"ref": "sophiablack/allstate-severity-claims-notebook", "kernel_id": "103609027"}, {"ref": "philippsinger/tabpfn-3-starter-allstate-claims-severity", "kernel_id": "127295796"}]}
{"competition_id": "5340", "kernels": [{"ref": "alexxanderlarko/xgboost-in-r-2-27217-my", "kernel_id": "82363"}, {"ref": "alexxanderlarko/nnet-keras-10", "kernel_id": "87214"}, {"ref": "alexxanderlarko/bag-of-apps-keras-11-08-16", "kernel_id": "87996"}, {"ref": "alexxanderlarko/bag-of-apps-keras-12-08-16-no-val", "kernel_id": "88156"}, {"ref": "alexxanderlarko/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "88471"}, {"ref": "alexxanderlarko/keras-2", "kernel_id": "94081"}, {"ref": "alexxanderlarko/xgb-0409", "kernel_id": "94117"}, {"ref": "benhamner/geolocation-visualisations-781e0d4c", "kernel_id": "85749"}, {"ref": "benhamner/notebook44a6e28785", "kernel_id": "87278"}, {"ref": "benhamner/demo-asdff", "kernel_id": "80186"}, {"ref": "benhamner/geolocation-visualisations", "kernel_id": "80187"}, {"ref": "benhamner/notebook-1a9a36969a4f439890cc", "kernel_id": "77440"}, {"ref": "benhamner/notebook-4d8b1afd4bbf278b0c75", "kernel_id": "77441"}, {"ref": "benhamner/heading-input-files", "kernel_id": "77442"}, {"ref": "pechyony/a-linear-model-on-apps-and-labels", "kernel_id": "115244"}, {"ref": "xheimlich/geolocation-visualisations-c85af343", "kernel_id": "85946"}, {"ref": "xheimlich/notebook-779de51797f5a3fc4f68", "kernel_id": "80433"}, {"ref": "domcastro/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "93125"}, {"ref": "ccccat/bag-of-apps-keras-11-08-16-no-val-moo-5", "kernel_id": "93968"}, {"ref": "fumanchu/notebook-6e57a07ec3bc04a4c90d", "kernel_id": "81124"}, {"ref": "datacooking/a-linear-model-on-apps-and-labels", "kernel_id": "87127"}, {"ref": "datacooking/user-portraits", "kernel_id": "89956"}, {"ref": "smcinerney/r-starter-code-with-integer64-handling", "kernel_id": "77794"}, {"ref": "timevans/notebook-dd63fb9ec4a36bbbaa44", "kernel_id": "79849"}, {"ref": "spatial/exploring-talking-data", "kernel_id": "87839"}, {"ref": "nigelcarpenter/santa-calling-talkingdata", "kernel_id": "78957"}, {"ref": "ahmaurya/xgboost-simple-starter", "kernel_id": "79477"}, {"ref": "ahmaurya/talkingdata-analysis-r", "kernel_id": "80554"}, {"ref": "ahmaurya/notebook-6208ffc058a2a9251148", "kernel_id": "80556"}, {"ref": "beingzy/000-exploration", "kernel_id": "80991"}, {"ref": "lordasart/a-linear-model-on-apps-and-labels-48ebffed", "kernel_id": "103671"}, {"ref": "lordasart/a-linear-model-on-apps-and-labels-c4714d8e", "kernel_id": "100069"}, {"ref": "lordasart/a-linear-model-on-apps-and-labels-17a626d4", "kernel_id": "102135"}, {"ref": "myurushkin/notebook5b1b0b2a6c", "kernel_id": "91840"}, {"ref": "gaborfodor/last-week-of-the-competition-1", "kernel_id": "94533"}, {"ref": "jeongyoonlee/notebookdef6426391", "kernel_id": "93171"}, {"ref": "paolobozzola/brand-and-model-based-benchmarks", "kernel_id": "79462"}, {"ref": "anowak/brand-and-model-based-benchmarks-7583a869", "kernel_id": "92013"}, {"ref": "anowak/brand-and-model-based-benchmarks", "kernel_id": "91639"}, {"ref": "y0ngb00n/notebook349531d854", "kernel_id": "91498"}, {"ref": "idrcee/experiment-notebook", "kernel_id": "77784"}, {"ref": "idrcee/data-py", "kernel_id": "78057"}, {"ref": "idrcee/experiment-py", "kernel_id": "77699"}, {"ref": "markhneedham/a-linear-model-on-apps-and-labels", "kernel_id": "94869"}, {"ref": "stiaan/notebooka74ba912ed", "kernel_id": "88210"}, {"ref": "yibochen/visualization-of-events-location-in-r", "kernel_id": "79011"}, {"ref": "yibochen/xgboost-in-r-2-27217", "kernel_id": "78914"}, {"ref": "yibochen/xgboost-in-r", "kernel_id": "79595"}, {"ref": "kunjal/test1-pyhton-script", "kernel_id": "85187"}, {"ref": "pulisreenivasulu/srini", "kernel_id": "84087"}, {"ref": "gnefuil/notebook427114463d", "kernel_id": "92085"}, {"ref": "ryo3ryosuu/brand-and-model-based-benchmarks", "kernel_id": "86206"}, {"ref": "duanlian/geolocation-visualisations", "kernel_id": "109665"}, {"ref": "siddharthshrotriya/first-kernel-script", "kernel_id": "77861"}, {"ref": "weizhezhang/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "92995"}, {"ref": "wendykan/notebook-42ca0d836800ebbdacc9", "kernel_id": "78340"}, {"ref": "wendykan/notebook-6bcad3c42c4a78fdc6dc", "kernel_id": "78319"}, {"ref": "wendykan/show-the-chinese-characters", "kernel_id": "78317"}, {"ref": "elteik/elte-ik", "kernel_id": "79390"}, {"ref": "frantap/brand-and-model-based-benchmarks", "kernel_id": "86320"}, {"ref": "frantap/brand-and-model-based-benchmarks-0c2959b0", "kernel_id": "86322"}, {"ref": "frantap/geolocation-visualisations", "kernel_id": "86326"}, {"ref": "chuckhahm/brand-and-model-based-benchmarks", "kernel_id": "85254"}, {"ref": "chuckhahm/categorizing-labels", "kernel_id": "84969"}, {"ref": "chuckhahm/investigating-time-and-day-and-gender", "kernel_id": "85753"}, {"ref": "chuckhahm/quick-plot-of-gender-imbalances-by-brand", "kernel_id": "85736"}, {"ref": "chuckhahm/notebook-96b005557f49970e67de", "kernel_id": "85399"}, {"ref": "chuckhahm/notebook3", "kernel_id": "85401"}, {"ref": "chuckhahm/notebook-937c7c5a951cd7ddbd99", "kernel_id": "85402"}, {"ref": "chuckhahm/notebook-bea57d0c4d61deffa033", "kernel_id": "85405"}, {"ref": "chuckhahm/notebook-9218ca382089540b23b9", "kernel_id": "81044"}, {"ref": "chuckhahm/notebook-ad1951957b56bb4a4de7", "kernel_id": "81049"}, {"ref": "chuckhahm/notebook-75aa1670ce7c35512aa2", "kernel_id": "81898"}, {"ref": "chuckhahm/notebook-a9839bfc420edf426e8b", "kernel_id": "81904"}, {"ref": "chuckhahm/notebook-22a16f8f576eb139f71a", "kernel_id": "81895"}, {"ref": "zhaokk/who-s-active-on-friday-night", "kernel_id": "86848"}, {"ref": "daiernan/notebook-3c980ca201439bf830be", "kernel_id": "80523"}, {"ref": "vganesh46/talking-xgboost", "kernel_id": "88070"}, {"ref": "iamnuomi/a-linear-model-on-apps-and-labels", "kernel_id": "187906"}, {"ref": "pushdlimits/notebook-002edfd9e88d11355871", "kernel_id": "78047"}, {"ref": "soufianeorama/notebook-f528dfe0246652bc5356", "kernel_id": "81146"}, {"ref": "subhas/notebook-d9b86988eb7495f4114b", "kernel_id": "84791"}, {"ref": "sanjeevsarda/notebook-0d917b8ff109aa9d789a", "kernel_id": "77741"}, {"ref": "sanjeevsarda/notebook-faa37d771ffb5686eddb", "kernel_id": "77742"}, {"ref": "sanjeevsarda/notebook-276725c4d24af397025b", "kernel_id": "77743"}, {"ref": "sanjeevsarda/notebook-4a73a631ee4b1b060bb3", "kernel_id": "77744"}, {"ref": "kumareshd/xgboost-in-r-2-28192", "kernel_id": "81293"}, {"ref": "kumareshd/tweak-a-bit-asdf", "kernel_id": "77980"}, {"ref": "kumareshd/chicken-momos-plate-1", "kernel_id": "78640"}, {"ref": "phanikumar1024/notebookb88b9e28ef", "kernel_id": "88198"}, {"ref": "shadimoodad/notebook-b3d7258a75cf349dcfce", "kernel_id": "81064"}, {"ref": "shadimoodad/talkingdata-exploration", "kernel_id": "81045"}, {"ref": "shadimoodad/notebook-e2954e65b69e67275a36", "kernel_id": "81046"}, {"ref": "shadimoodad/notebook-5939c7b6bd4455f4d6f7", "kernel_id": "81052"}, {"ref": "shadimoodad/notebook-9c7a81aa6c360e3c3189", "kernel_id": "81053"}, {"ref": "ramirogomez/talkingdata-event-locations-map", "kernel_id": "77512"}, {"ref": "abhinavkgp/a-linear-model-on-apps-and-labels", "kernel_id": "93857"}, {"ref": "vrkhare/notebook393f20393c", "kernel_id": "92437"}, {"ref": "vrbala/user-portraits", "kernel_id": "92571"}, {"ref": "vrbala/user-portraits-26ccccd9", "kernel_id": "92583"}, {"ref": "vrbala/brand-and-model-based-benchmarks-a58a31ee", "kernel_id": "92276"}, {"ref": "vrbala/user-portraits-a823de0d", "kernel_id": "92779"}, {"ref": "vrbala/brand-and-model-based-benchmarks-d3d87831", "kernel_id": "90052"}, {"ref": "vrbala/exploring-talking-data", "kernel_id": "77907"}, {"ref": "leifolson/a-linear-model-on-apps-and-labels", "kernel_id": "88197"}, {"ref": "drpatrickchan/categorizing-labels", "kernel_id": "85116"}, {"ref": "valadi/chicken-momos-plate-2", "kernel_id": "79187"}, {"ref": "valadi/low-ram-bag-of-apps-i", "kernel_id": "79322"}, {"ref": "valadi/tttrttt", "kernel_id": "87172"}, {"ref": "valadi/nnet-keras-10-jay", "kernel_id": "87827"}, {"ref": "valadi/brand-and-model-based-benchmarks", "kernel_id": "83853"}, {"ref": "valadi/xgboost-in-r-2-28192", "kernel_id": "81179"}, {"ref": "valadi/low-ram-bag-of-apps-python-2-7-i", "kernel_id": "80806"}, {"ref": "ravigarg27/a-linear-model-on-apps-and-labels", "kernel_id": "89317"}, {"ref": "ravigarg27/a-linear-model-on-apps-and-labels-f6a6c73e", "kernel_id": "89330"}, {"ref": "semwaldeepali/a-linear-model-on-apps-and-labels", "kernel_id": "89853"}, {"ref": "semwaldeepali/geolocation-visualisations", "kernel_id": "87784"}, {"ref": "milivojevic/tweak-a-bit", "kernel_id": "77872"}, {"ref": "tuanvu/brand-and-model-based-benchmarks-f80b963e", "kernel_id": "91756"}, {"ref": "tuanvu/notebook-3d9b0b44a9d697d925ea", "kernel_id": "79570"}, {"ref": "tuanvu/notebook-d0d39bb464908dd49690", "kernel_id": "78652"}, {"ref": "singhvivek/notebook-23389a137585acc44db3", "kernel_id": "79034"}, {"ref": "kumarishan/notebooka404a28bd5", "kernel_id": "103229"}, {"ref": "volker48/notebook277f52782b", "kernel_id": "92015"}, {"ref": "analyzzer/sc123-r", "kernel_id": "80538"}, {"ref": "analyzzer/ab12345-r", "kernel_id": "80587"}, {"ref": "gphilippis/geolocation-visualisations", "kernel_id": "78223"}, {"ref": "erbolb/keras-nn-for", "kernel_id": "87579"}, {"ref": "wayneli/some-exploration", "kernel_id": "78392"}, {"ref": "wayneli/notebook-c9457546e98d679116d8", "kernel_id": "78393"}, {"ref": "wayneli/a-linear-model-on-apps-and-labels", "kernel_id": "92738"}, {"ref": "chu1990/geolocation-visualisations", "kernel_id": "81962"}, {"ref": "goelvj/notebook707887de05", "kernel_id": "90135"}, {"ref": "sramaj/notebook-5da68de6d373d05e2063", "kernel_id": "78952"}, {"ref": "sramaj/the-one-table-sr", "kernel_id": "77518"}, {"ref": "aakansh9/notebook7076d4a980", "kernel_id": "192099"}, {"ref": "aakansh9/xgboost-cv-pred-test", "kernel_id": "92125"}, {"ref": "aakansh9/xgboost-in-r-2-27217", "kernel_id": "92899"}, {"ref": "deepeshneo007/xgbtest", "kernel_id": "78379"}, {"ref": "deepeshneo007/notebook-4bcef67a6459da8c4337", "kernel_id": "78380"}, {"ref": "ashver/a-linear-model-on-apps-and-labels", "kernel_id": "133159"}, {"ref": "siddharthvashishth/notebook1d506c3ac3", "kernel_id": "91769"}, {"ref": "remysaissy/geolocation-visualisations", "kernel_id": "166376"}, {"ref": "oleksiimarchenko/test-om", "kernel_id": "79752"}, {"ref": "oleksiimarchenko/notebook-88501b682abf07d19a2e", "kernel_id": "79753"}, {"ref": "vvvvvv/a-linear-model-on-apps-and-labels", "kernel_id": "89843"}, {"ref": "vvvvvv/geolocation-visualisations", "kernel_id": "77832"}, {"ref": "robineast/a-linear-model-on-apps-and-labels-e7b86b82", "kernel_id": "86340"}, {"ref": "robineast/a-linear-model-on-apps-and-labels-b9032dfa", "kernel_id": "86445"}, {"ref": "robineast/xgboost-in-r-2-27217-my", "kernel_id": "83883"}, {"ref": "robineast/geolocation-investigations", "kernel_id": "79717"}, {"ref": "robineast/notebook-7633c9d2b4945be15253", "kernel_id": "79633"}, {"ref": "robineast/geolocation-visualisations", "kernel_id": "79495"}, {"ref": "robineast/data-investigation", "kernel_id": "79460"}, {"ref": "robineast/notebook-9a49af1b4babc4dcd80b", "kernel_id": "79461"}, {"ref": "robineast/log-loss-example", "kernel_id": "78966"}, {"ref": "robineast/xgboost-simple-starter", "kernel_id": "78598"}, {"ref": "robineast/bag-of-apps-keras-11-08-16-no-val-moo-5", "kernel_id": "94410"}, {"ref": "pietromarinelli/notebook7d8bbae173", "kernel_id": "87588"}, {"ref": "seenhzj/brand-and-model-based-benchmarks", "kernel_id": "85329"}, {"ref": "seenhzj/notebook-842fd30275777fc488b0", "kernel_id": "78676"}, {"ref": "seenhzj/notebook-54840bbbd33508315452", "kernel_id": "78677"}, {"ref": "dbolotov/notebookc15d70f855", "kernel_id": "87433"}, {"ref": "sundong/geolocation-visualisations", "kernel_id": "86962"}, {"ref": "sundong/talkingdata-trial1-sdk", "kernel_id": "85852"}, {"ref": "gissemari/notebook-405d2ca9bfb42761d130", "kernel_id": "77922"}, {"ref": "akilaw/xgboost-in-r-2-27217-my", "kernel_id": "82411"}, {"ref": "akilaw/notebook-937e5524775da4b99d5f", "kernel_id": "84561"}, {"ref": "sharmaharshit/xgboost-in-r-2-27217", "kernel_id": "84293"}, {"ref": "jiweiliu/know-kaggle-better", "kernel_id": "85982"}, {"ref": "shgidi/brand-and-model-based-benchmarks", "kernel_id": "85536"}, {"ref": "shgidi/notebook-11c3f4cf4b6ad809e518", "kernel_id": "85538"}, {"ref": "shgidi/notebook-6dfe2483ef55be637ab1", "kernel_id": "85539"}, {"ref": "shgidi/notebook-16375a6883f6f511f9a2", "kernel_id": "85540"}, {"ref": "dieepbapat/xgboost-simple-starter", "kernel_id": "77721"}, {"ref": "dieepbapat/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "89200"}, {"ref": "brianlaw/user-portraits", "kernel_id": "89532"}, {"ref": "steromano/notebook-1f2e1fc622471aa90fd1", "kernel_id": "83936"}, {"ref": "steromano/notebook-e0460002cb3f32f130c2", "kernel_id": "82532"}, {"ref": "steromano/notebook-b66a0e8aee327c6c3a33", "kernel_id": "82533"}, {"ref": "zeroblue/brand-and-model-based-benchmarks", "kernel_id": "81918"}, {"ref": "zeroblue/notebook-0b95fd8b8fc4a4c96338", "kernel_id": "81920"}, {"ref": "zeroblue/better-log-loss-function", "kernel_id": "79088"}, {"ref": "zeroblue/xgb-boost-with-event-data", "kernel_id": "78347"}, {"ref": "aruizga7/fork-of-test-kernel", "kernel_id": "97543"}, {"ref": "aruizga7/test-kernel", "kernel_id": "78455"}, {"ref": "avishek/notebook-eb08cc63778f3f1ffe7f", "kernel_id": "84479"}, {"ref": "avishek/28082016-xgbmodels-featselect-segments", "kernel_id": "91985"}, {"ref": "avishek/bag-of-apps-keras-30-08-16-no-val", "kernel_id": "92700"}, {"ref": "sbairishal/low-ram-bag-of-apps-python-2-7", "kernel_id": "80683"}, {"ref": "peima09/geolocation-visualisations", "kernel_id": "80102"}, {"ref": "rjworth/a-linear-model-on-apps-and-labels", "kernel_id": "91873"}, {"ref": "ankhesh/only-another-exploratory-analysis", "kernel_id": "81926"}, {"ref": "sinaasappel/exploring-phone-brands", "kernel_id": "78326"}, {"ref": "sinaasappel/geographical-locations-of-events", "kernel_id": "87716"}, {"ref": "ichiragmandot/datavata", "kernel_id": "83959"}, {"ref": "bryandickens/notebookfe17af80a5", "kernel_id": "88533"}, {"ref": "bryandickens/notebook622283e301", "kernel_id": "88534"}, {"ref": "bryandickens/brdimytest", "kernel_id": "88535"}, {"ref": "bryandickens/notebook4c04a07fbf", "kernel_id": "88523"}, {"ref": "bryandickens/feature-generator", "kernel_id": "79555"}, {"ref": "bryandickens/notebook-a0f255e3e05117845610", "kernel_id": "84571"}, {"ref": "bryandickens/notebook-a7bda218e3646664dbd5", "kernel_id": "84572"}, {"ref": "bryandickens/notebook-2e236f16048a993d47db", "kernel_id": "84573"}, {"ref": "bryandickens/dataviz", "kernel_id": "84574"}, {"ref": "bryandickens/notebook-a8f4f4f1c61facda229a", "kernel_id": "84577"}, {"ref": "bryandickens/notebook-a0a14c13726461afb027", "kernel_id": "84578"}, {"ref": "bryandickens/notebook-a5bb1c992bf84267d70f", "kernel_id": "84579"}, {"ref": "bryandickens/notebook-b0b493b467a0a36b2932", "kernel_id": "84582"}, {"ref": "macwang/notebook-fabb36e13156df6d4dcc", "kernel_id": "78447"}, {"ref": "macwang/notebook-aea96711e40b9a3866f7", "kernel_id": "78462"}, {"ref": "macwang/notebook-060d8e4d51037e331086", "kernel_id": "77837"}, {"ref": "macwang/geolocation-visualisations", "kernel_id": "77862"}, {"ref": "macwang/notebook-cec57ff6baec13d22b4d", "kernel_id": "77863"}, {"ref": "macwang/mac-s-1st-attempt", "kernel_id": "77864"}, {"ref": "macwang/notebook-09f0b02f65e5a55b7909", "kernel_id": "77867"}, {"ref": "macwang/notebook-a455f198417601ed6886", "kernel_id": "78082"}, {"ref": "seahearman/my-test", "kernel_id": "81958"}, {"ref": "rmr949/a-linear-model-on-apps-and-labels", "kernel_id": "86713"}, {"ref": "rmr949/a-linear-model-on-apps-and-labels-2891ed3d", "kernel_id": "86977"}, {"ref": "brucelan/demographic-classifier", "kernel_id": "91878"}, {"ref": "brucelan/a-linear-model-branch-by-bruce", "kernel_id": "91879"}, {"ref": "isaac7/notebook-3ef00c294a53be6c74c7", "kernel_id": "85505"}, {"ref": "isaac7/talking-script1", "kernel_id": "84758"}, {"ref": "isaac7/notebook-e3bd5416c73e20d4e852", "kernel_id": "85137"}, {"ref": "isaac7/notebook-d880b31cc2c1fbebbab7", "kernel_id": "85147"}, {"ref": "isaac7/notebook-acc16ee977502865225a", "kernel_id": "85148"}, {"ref": "tinoswe/data-exploration", "kernel_id": "85875"}, {"ref": "andy101/a-linear-model-on-apps-and-labels", "kernel_id": "89859"}, {"ref": "kevinandhu/notebook-a96297e488532748ebc4", "kernel_id": "77718"}, {"ref": "expedientanalytics/geolocation-visualisations", "kernel_id": "77847"}, {"ref": "expedientanalytics/test4", "kernel_id": "78632"}, {"ref": "patliu/geolocation-visualisations", "kernel_id": "119119"}, {"ref": "wwymak/notebook-3529b80542954dbe7a81", "kernel_id": "80244"}, {"ref": "wwymak/notebook-7ac0523c989c7df8b12f", "kernel_id": "79845"}, {"ref": "wwymak/notebook-07cea0506089ca93ab1a", "kernel_id": "79306"}, {"ref": "wwymak/notebook-5d4390a8b314a35806e8", "kernel_id": "79307"}, {"ref": "wwymak/dataexplore", "kernel_id": "79308"}, {"ref": "guangoku/notebookeabcbff1d2", "kernel_id": "86255"}, {"ref": "qk831019/notebook-19f5792768475da51e12", "kernel_id": "82321"}, {"ref": "samarthagarwal23/bag-of-apps-keras-11-08-16", "kernel_id": "87771"}, {"ref": "soundwaveli00/tttrttt", "kernel_id": "87175"}, {"ref": "sabareesh/notebook-4a3038cd11ef12764171", "kernel_id": "79915"}, {"ref": "sabareesh/notebook-31dbde68be2067c064a6", "kernel_id": "79883"}, {"ref": "sabareesh/notebook-573427fcc74f189c9a31", "kernel_id": "79918"}, {"ref": "howlingguineapig/notebook-be2fe54627fef3370ec6", "kernel_id": "78329"}, {"ref": "howlingguineapig/merging-the-tables", "kernel_id": "78330"}, {"ref": "howlingguineapig/notebook-66207df00a9407722377", "kernel_id": "78520"}, {"ref": "howlingguineapig/notebook-b0badc88cdcdcb9ffbee", "kernel_id": "78522"}, {"ref": "howlingguineapig/notebook-11948d70564dbb522c74", "kernel_id": "78527"}, {"ref": "ezequielaguilar/mobile-data", "kernel_id": "79310"}, {"ref": "ezequielaguilar/notebook-3a0cae264edbb19d35f9", "kernel_id": "78050"}, {"ref": "jwegas/just-first-look", "kernel_id": "78200"}, {"ref": "jwegas/notebook-2a478e9aa4a16b652547", "kernel_id": "84119"}, {"ref": "jwegas/notebook-2a61581b4921d951ec15", "kernel_id": "84375"}, {"ref": "jwegas/notebook-ee70aa1dca926bf6da91", "kernel_id": "84899"}, {"ref": "jwegas/bag-of-app-id-by-jianxiao", "kernel_id": "84879"}, {"ref": "jwegas/notebook-d8f8396b62479b4d5a1d", "kernel_id": "84564"}, {"ref": "jiajunyang/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "89426"}, {"ref": "bertmanila/notebook-179a60c53113c538b328", "kernel_id": "82767"}, {"ref": "sobach/notebook-91619872f16875daa727", "kernel_id": "80712"}, {"ref": "sobach/notebook-3cf989b0e6b8aa08d124", "kernel_id": "80713"}, {"ref": "sobach/notebook-9beac3892029f6e87064", "kernel_id": "80714"}, {"ref": "sobach/notebook-685b7864ac992328c21c", "kernel_id": "80710"}, {"ref": "yifanxie/a-linear-model-on-apps-and-labels", "kernel_id": "88050"}, {"ref": "outliar/sparse-xgboost-leaky", "kernel_id": "93941"}, {"ref": "vishnus/notebook-83aaaf8093961b674ae8", "kernel_id": "80944"}, {"ref": "vagrawal/notebook-9750e12fa19f688bb0e5", "kernel_id": "78259"}, {"ref": "maxsop/notebook9b8c6acb94", "kernel_id": "85883"}, {"ref": "betterplace/learn-matplot-pandas", "kernel_id": "89026"}, {"ref": "betterplace/geolocation-visualisations", "kernel_id": "89027"}, {"ref": "betterplace/learn-geo-viz", "kernel_id": "89261"}, {"ref": "barrywang/geolocation-visualisations", "kernel_id": "85813"}, {"ref": "bryanyang/a-linear-model-on-apps-and-labels", "kernel_id": "90419"}, {"ref": "oekekezie/test-2-xgboost-simple-starter", "kernel_id": "79453"}, {"ref": "oekekezie/test-xgboost-simple-starter", "kernel_id": "79125"}, {"ref": "oekekezie/notebook-e7c9d70b44b142f86d8c", "kernel_id": "79089"}, {"ref": "siddartha607/a-linear-model-on-apps-and-labels-207b40d4", "kernel_id": "100433"}, {"ref": "siddartha607/who-s-active-on-friday-night", "kernel_id": "91413"}, {"ref": "siddartha607/brand-and-model-based-benchmarks", "kernel_id": "90485"}, {"ref": "siddartha607/a-linear-model-on-apps-and-labels-1bf24a97", "kernel_id": "90316"}, {"ref": "siddartha607/a-linear-model-on-apps-and-labels", "kernel_id": "90269"}, {"ref": "siddartha607/a-linear-model-on-apps-and-labels-b62b6a16", "kernel_id": "111073"}, {"ref": "siddartha607/a-linear-model-on-apps-and-labels-14c149ed", "kernel_id": "139583"}, {"ref": "siddartha607/a-linear-model-on-apps-and-labels-74e15f10", "kernel_id": "139492"}, {"ref": "siddartha607/brand-and-model-based-benchmarks-78c80b21", "kernel_id": "139493"}, {"ref": "quantumdamage/playground", "kernel_id": "77716"}, {"ref": "lastdylan/notebook-3a9ea66d3d6ad64ec548", "kernel_id": "77726"}, {"ref": "lastdylan/exploring-mobile-data", "kernel_id": "77729"}, {"ref": "lastdylan/notebook-37a2faf383db88bf57a8", "kernel_id": "77736"}, {"ref": "lastdylan/notebook-7e968c3c83c28166aba8", "kernel_id": "77709"}, {"ref": "lastdylan/notebook-8afad42bd17c52667edf", "kernel_id": "77500"}, {"ref": "lastdylan/notebook-78436bae9f0df36da796", "kernel_id": "77525"}, {"ref": "sushize/a-linear-model-on-apps-and-labels", "kernel_id": "89385"}, {"ref": "wasbornlazy/a-linear-model-on-apps-and-labels", "kernel_id": "86181"}, {"ref": "wasbornlazy/brand-and-model-based-benchmarks", "kernel_id": "84144"}, {"ref": "wasbornlazy/testspeed-v1", "kernel_id": "101846"}, {"ref": "potterxu/notebook-70456768210b72388c2d", "kernel_id": "80984"}, {"ref": "potterxu/notebook-e31a6bb994321e261905", "kernel_id": "80985"}, {"ref": "potterxu/notebook-e41cbdafee2b804d2422", "kernel_id": "80986"}, {"ref": "potterxu/fork-of-xgboost-new-scripts", "kernel_id": "86149"}, {"ref": "potterxu/notebook-4fcb5768f4fa1164ef23", "kernel_id": "78113"}, {"ref": "potterxu/geolocation-visualisations", "kernel_id": "78015"}, {"ref": "potterxu/visual-data", "kernel_id": "79224"}, {"ref": "potterxu/low-ram-bag-of-apps", "kernel_id": "79416"}, {"ref": "potterxu/notebook-caffccaab9567d1a594e", "kernel_id": "78613"}, {"ref": "potterxu/notebook-3757d652bc35d63a63bf", "kernel_id": "78408"}, {"ref": "potterxu/xgboost-new-scripts", "kernel_id": "78536"}, {"ref": "potterxu/notebook-b742da642cc579ff9381", "kernel_id": "78504"}, {"ref": "nilotpal/notebooka0ccba74b6", "kernel_id": "86371"}, {"ref": "nilotpal/talking-data-v-31", "kernel_id": "85833"}, {"ref": "j9feng/notebook-ff45c694da176ffd45dc", "kernel_id": "78805"}, {"ref": "j9feng/notebook-91fef7ad2fb6d4661351", "kernel_id": "78997"}, {"ref": "j9feng/td-ml-v1", "kernel_id": "78998"}, {"ref": "lishubin/brand-and-model", "kernel_id": "89562"}, {"ref": "natesholland/localizing-time-data", "kernel_id": "84761"}, {"ref": "carolewaihai/notebook916ad4806c", "kernel_id": "173743"}, {"ref": "notmaster/brand-and-model-based-benchmarks", "kernel_id": "88862"}, {"ref": "notmaster/brand-and-model-based-benchmarks-19a55d67", "kernel_id": "88900"}, {"ref": "lemoner/user-portraits", "kernel_id": "92268"}, {"ref": "lemoner/a-linear-model-on-apps-and-labels-90c816d4", "kernel_id": "88468"}, {"ref": "lemoner/brand-and-model-based-benchmarks-dfc18e09", "kernel_id": "90707"}, {"ref": "lemoner/brand-and-model-based-benchmarks", "kernel_id": "87802"}, {"ref": "lemoner/a-linear-model-on-apps-and-labels-5b6a2a21", "kernel_id": "87284"}, {"ref": "lemoner/a-linear-model-on-apps-and-labels", "kernel_id": "87224"}, {"ref": "kaggler175537/notebook-f6779949efd294240aba", "kernel_id": "79880"}, {"ref": "madraziw/fork-of-mad-1017", "kernel_id": "123608"}, {"ref": "madraziw/mad-test-1", "kernel_id": "79950"}, {"ref": "madraziw/maddd", "kernel_id": "82087"}, {"ref": "madraziw/notebook-d9c40bc5853a73c96dd1", "kernel_id": "80805"}, {"ref": "madraziw/mad-0722", "kernel_id": "80807"}, {"ref": "madraziw/mad-0721-1245", "kernel_id": "80573"}, {"ref": "madraziw/notebook-c7fe5e4bf8b3717caad3", "kernel_id": "80567"}, {"ref": "madraziw/notebook-608c6ab38b80c0d04bec", "kernel_id": "80522"}, {"ref": "madraziw/notebook-6110fce525b9d59c14c6", "kernel_id": "80562"}, {"ref": "madraziw/notebook-76437c39603b34147820", "kernel_id": "80294"}, {"ref": "madraziw/notebook-1721a8673ce8bdff27eb", "kernel_id": "80295"}, {"ref": "madraziw/mad-test-0720", "kernel_id": "80300"}, {"ref": "madraziw/notebook-e79405839718c12bf2f4", "kernel_id": "80301"}, {"ref": "madraziw/mad-0720-01", "kernel_id": "80304"}, {"ref": "madraziw/notebook-fea2b14f57383812dedf", "kernel_id": "80313"}, {"ref": "madraziw/mad-1017", "kernel_id": "80306"}, {"ref": "madraziw/brand-and-model-based-benchmarks", "kernel_id": "80322"}, {"ref": "madraziw/geolocation-visualisations", "kernel_id": "80324"}, {"ref": "madraziw/fork-of-mad-0720-1246", "kernel_id": "93336"}, {"ref": "st04713/a-linear-model-on-apps-and-labels-03ad4055", "kernel_id": "87816"}, {"ref": "surion/nothing", "kernel_id": "77854"}, {"ref": "surion/notebook-fb51adef467fca1b4862", "kernel_id": "78254"}, {"ref": "amitchoudhary/talking-v1", "kernel_id": "80292"}, {"ref": "amitchoudhary/talking-v2", "kernel_id": "80580"}, {"ref": "amitchoudhary/xgboost-v1-0", "kernel_id": "81856"}, {"ref": "amitchoudhary/xgboost-v1-1", "kernel_id": "82224"}, {"ref": "amitchoudhary/xgboost-v1-2", "kernel_id": "82485"}, {"ref": "amitchoudhary/xgboost-v1-3", "kernel_id": "82793"}, {"ref": "amitchoudhary/talking-data-v6", "kernel_id": "85206"}, {"ref": "amitchoudhary/talking-data-v5", "kernel_id": "84878"}, {"ref": "amitchoudhary/talking-data-v-40", "kernel_id": "84824"}, {"ref": "amitchoudhary/nn-v5", "kernel_id": "93059"}, {"ref": "amitchoudhary/nn-v1-2", "kernel_id": "90735"}, {"ref": "divakardass/fork-of-a-linear-model-on-apps-and-labels-b076daea", "kernel_id": "86231"}, {"ref": "divakardass/a-linear-model-on-apps-and-labels", "kernel_id": "86226"}, {"ref": "divakardass/a-linear-model-on-apps-and-labels-b076daea", "kernel_id": "86228"}, {"ref": "divakardass/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "93029"}, {"ref": "psaravind/notebook-695376da4415dbde4087", "kernel_id": "77631"}, {"ref": "jeffhebert/a-linear-model-on-apps-and-labels", "kernel_id": "92931"}, {"ref": "andreburk/sklearn-ada", "kernel_id": "77912"}, {"ref": "andreburk/notebook-5e022f0eeef320002635", "kernel_id": "77789"}, {"ref": "andreburk/notebook-33d1acf5558c3c93bebd", "kernel_id": "77791"}, {"ref": "andreburk/some-exploration", "kernel_id": "77803"}, {"ref": "riteshsoni/notebook5df8873e3c", "kernel_id": "91183"}, {"ref": "rho123/a-linear-model-on-apps-and-labels", "kernel_id": "94051"}, {"ref": "abanz1/notebook55d16d9823", "kernel_id": "87770"}, {"ref": "zheng11/sparse-xgboost-starter-2-26857", "kernel_id": "93217"}, {"ref": "zheng11/notebook7dd96742b0", "kernel_id": "93469"}, {"ref": "zheng11/events", "kernel_id": "93470"}, {"ref": "zheng11/phone-only", "kernel_id": "93466"}, {"ref": "zheng11/a-linear-model-on-apps-and-labels", "kernel_id": "93450"}, {"ref": "zheng11/notebook3ef36c36ff", "kernel_id": "93965"}, {"ref": "zheng11/notebook213cbaf010", "kernel_id": "94237"}, {"ref": "zheng11/sparse-xgboost-1", "kernel_id": "94240"}, {"ref": "zheng11/notebook3235cd7e00", "kernel_id": "94264"}, {"ref": "zheng11/notebook3e16a8dca6", "kernel_id": "93493"}, {"ref": "zheng11/notebook4485090ace", "kernel_id": "93500"}, {"ref": "zheng11/events1", "kernel_id": "93729"}, {"ref": "zheng11/tmpevet", "kernel_id": "93733"}, {"ref": "zheng11/phone-only1", "kernel_id": "93737"}, {"ref": "zheng11/notebook3dc23e6c2b", "kernel_id": "93891"}, {"ref": "zheng11/phone-only2", "kernel_id": "93892"}, {"ref": "zheng11/notebook0579bc9c59", "kernel_id": "93900"}, {"ref": "zheng11/events3", "kernel_id": "93906"}, {"ref": "zheng11/notebook99146b7996", "kernel_id": "94427"}, {"ref": "zheng11/notebook8c345fc8ff", "kernel_id": "94460"}, {"ref": "jerryflying/xgboost-v11", "kernel_id": "95735"}, {"ref": "michaelpawlus/brand-and-model-based-benchmarks", "kernel_id": "83958"}, {"ref": "danielbeckstein/notebook-94436151f775b8ba8950", "kernel_id": "78331"}, {"ref": "danielbeckstein/beat-the-benchmark-2-42107", "kernel_id": "78327"}, {"ref": "danielbeckstein/notebook-b91036c704466cd12a23", "kernel_id": "78328"}, {"ref": "thawatt/sparse-nn-10-fold-cv", "kernel_id": "93512"}, {"ref": "ayocca/notebook-bc8a62ceaef0594bd3ce", "kernel_id": "85495"}, {"ref": "ayocca/notebook-ab73a5bb4c5fd5ff69ec", "kernel_id": "85498"}, {"ref": "ayocca/notebook-e7ffe2d5b9f9d7cc1d48", "kernel_id": "85499"}, {"ref": "ayocca/notebook-30b23e483181e4e85049", "kernel_id": "85501"}, {"ref": "ayocca/notebook-69fd75c44fd670f6ddf3", "kernel_id": "85502"}, {"ref": "ayocca/notebook-42fccb9559befb7dd08d", "kernel_id": "85503"}, {"ref": "ayocca/geolocation-visualisations", "kernel_id": "85504"}, {"ref": "ayocca/notebook-19ed4d4db637686509e8", "kernel_id": "85508"}, {"ref": "yuqingxue/talkingdata-sep-4th-6174", "kernel_id": "94239"}, {"ref": "yuqingxue/talkingdata-sep-4th-0-95", "kernel_id": "94235"}, {"ref": "yuqingxue/talkingdata-sep-4th", "kernel_id": "94221"}, {"ref": "namra42/notebook-b850f33c21d3c494d996", "kernel_id": "78818"}, {"ref": "weimin/notebook-ecf9e673767b87c64274", "kernel_id": "79628"}, {"ref": "weimin/notebook-7a324d25a6e8e23db905", "kernel_id": "84683"}, {"ref": "ernestas/xgboost", "kernel_id": "78294"}, {"ref": "qmaruf/xgboost-simple-starter", "kernel_id": "81209"}, {"ref": "poiss0nriot/nnet-eras-10", "kernel_id": "87725"}, {"ref": "poiss0nriot/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "88005"}, {"ref": "poiss0nriot/tweak-a-bit", "kernel_id": "77964"}, {"ref": "poiss0nriot/a-linear-model-on-apps-and-labels", "kernel_id": "90633"}, {"ref": "poiss0nriot/boa-others", "kernel_id": "89110"}, {"ref": "yongyang/brand-and-model-based-benchmarks", "kernel_id": "84603"}, {"ref": "nameyy/notebook-5e6a14f935f501f1637f", "kernel_id": "79123"}, {"ref": "binggong/notebook3732e7a808", "kernel_id": "90820"}, {"ref": "binggong/fork-of-notebook3732e7a808-6fc92e71", "kernel_id": "90886"}, {"ref": "binggong/fork-of-notebook3732e7a808", "kernel_id": "90876"}, {"ref": "binggong/notebookfd90f299db", "kernel_id": "93831"}, {"ref": "binggong/kaggle01", "kernel_id": "93138"}, {"ref": "prany21/notebook-61438e11e0adbbfaedb6", "kernel_id": "81304"}, {"ref": "brajen259/talkingdataeda", "kernel_id": "85280"}, {"ref": "sheryzhao/notebook-c979d7cf5db0f49d86f7", "kernel_id": "81317"}, {"ref": "sheryzhao/hello-world", "kernel_id": "81306"}, {"ref": "sheryzhao/notebook-cb565316d8db1e374bd1", "kernel_id": "81307"}, {"ref": "sheryzhao/notebook-314bd51f88f064e41f06", "kernel_id": "81308"}, {"ref": "sheryzhao/notebook-37b24d50d52c2933907b", "kernel_id": "81310"}, {"ref": "sheryzhao/notebook-8fce457976a7ff23770c", "kernel_id": "81321"}, {"ref": "sheryzhao/notebook-b6e84577a6047113eb2b", "kernel_id": "81435"}, {"ref": "sheryzhao/brand-and-model-based-benchmarks", "kernel_id": "80329"}, {"ref": "sheryzhao/notebook-3a8e0fd34553542900a7", "kernel_id": "82542"}, {"ref": "sheryzhao/notebook-84a9c79adefd575ccb26", "kernel_id": "82601"}, {"ref": "sheryzhao/notebook-6652b8c32b15f538cbd9", "kernel_id": "82500"}, {"ref": "sheryzhao/notebook-e5c6fd1f5fdb00f3a99f", "kernel_id": "82502"}, {"ref": "sheryzhao/notebook-e9325a99cc1aa2c0cbe1", "kernel_id": "82503"}, {"ref": "sheryzhao/notebook-105645e61e19e709c837", "kernel_id": "82511"}, {"ref": "sheryzhao/notebook-062b7e9ac597ac937cb4", "kernel_id": "82512"}, {"ref": "sheryzhao/notebook-62d117a5e907134f97b5", "kernel_id": "82522"}, {"ref": "sheryzhao/feature-space2", "kernel_id": "82523"}, {"ref": "sheryzhao/notebook-86df83273b07f235d076", "kernel_id": "83961"}, {"ref": "sheryzhao/notebook-5f3b6db32aa05b1d533c", "kernel_id": "84176"}, {"ref": "sheryzhao/geolocation-visualisations", "kernel_id": "78225"}, {"ref": "masaaldosai/notebook-e4f8776f13026489b598", "kernel_id": "79061"}, {"ref": "darraghdog/categorizing-labels", "kernel_id": "81141"}, {"ref": "makanga/talkingdata", "kernel_id": "92222"}, {"ref": "ramjikannanakar/a-nudge-talking-data", "kernel_id": "80877"}, {"ref": "ramjikannanakar/notebook-a48817dd1815382d68a4", "kernel_id": "80887"}, {"ref": "ramjikannanakar/notebook-f6eb7d2795f9153e5af2", "kernel_id": "80888"}, {"ref": "doylet/talking-data-rda", "kernel_id": "90523"}, {"ref": "jameszhou92/notebook341b733134", "kernel_id": "89181"}, {"ref": "jameszhou92/notebook6ed54891b0", "kernel_id": "89182"}, {"ref": "jameszhou92/notebook97adf0320d", "kernel_id": "89179"}, {"ref": "dileep31/a-linear-model-on-apps-and-labels", "kernel_id": "155218"}, {"ref": "timhill/notebook-2ff44f792861d03ddd94", "kernel_id": "77584"}, {"ref": "esolty/test-1", "kernel_id": "87402"}, {"ref": "rexliu/notebook22f1ce0865", "kernel_id": "91885"}, {"ref": "rexliu/notebook32005ee99b", "kernel_id": "91877"}, {"ref": "asonntag/notebook-38aec00f7baeb57501df", "kernel_id": "81164"}, {"ref": "anantgupta/anant-test-analysis", "kernel_id": "85185"}, {"ref": "anantgupta/notebook-e48c9237392302d67321", "kernel_id": "85161"}, {"ref": "anantgupta/notebook-95d34f4fbdabaf77ef2c", "kernel_id": "84200"}, {"ref": "anantgupta/data-analysis-in-python", "kernel_id": "83859"}, {"ref": "anantgupta/notebook-c170a05cad6d9ea8b38b", "kernel_id": "83908"}, {"ref": "stephenbuckley/brand-and-model-based-benchmarks", "kernel_id": "82147"}, {"ref": "cartographic/low-ram-bag-of-apps", "kernel_id": "79266"}, {"ref": "cartographic/bag-of-apps-keras", "kernel_id": "90059"}, {"ref": "yesemsanthoshkumar/script-one", "kernel_id": "81705"}, {"ref": "raminia/notebook-8a7a506811580b33a53b", "kernel_id": "85012"}, {"ref": "raminia/notebook-d32853a21d5593b4cb9a", "kernel_id": "85019"}, {"ref": "raminia/understand-data", "kernel_id": "85020"}, {"ref": "raminia/notebook-4fbe6e57e009fb20dae0", "kernel_id": "85021"}, {"ref": "raminia/notebook-cd921cb2e3817c0c3eb8", "kernel_id": "85017"}, {"ref": "cyinll/notebook6ef1a4a597", "kernel_id": "126288"}, {"ref": "harlock1978/notebook-798ad66cf445120fadf8", "kernel_id": "84379"}, {"ref": "jp1976/geolocation-visualisations-4bc8e317", "kernel_id": "88274"}, {"ref": "jp1976/geolocation-visualisations", "kernel_id": "88259"}, {"ref": "hroark/xgboost-in-r-2-27217", "kernel_id": "82289"}, {"ref": "omnisponse/notebook-a77dfd870e51237f8509", "kernel_id": "84134"}, {"ref": "roshankr27/notebook-a8d185b4a575b82ad741", "kernel_id": "84271"}, {"ref": "dvasyukova/brand-and-model-based-benchmarks", "kernel_id": "79393"}, {"ref": "dvasyukova/a-linear-model-on-apps-and-labels", "kernel_id": "86042"}, {"ref": "dvasyukova/user-portraits", "kernel_id": "87403"}, {"ref": "statisticallearner/notebook98bdfae488", "kernel_id": "94824"}, {"ref": "statisticallearner/basic", "kernel_id": "94825"}, {"ref": "evilpanther/notebook-f5aec7f7a7061602ca77", "kernel_id": "82528"}, {"ref": "jenniferma/talkingdata-event-locations-map", "kernel_id": "80594"}, {"ref": "sunnmy/brand-and-model-based-benchmarks", "kernel_id": "79782"}, {"ref": "sunnmy/notebook-09b0d574dde89c3f2394", "kernel_id": "79783"}, {"ref": "pritam108/geolocation-visualisations", "kernel_id": "89230"}, {"ref": "aminkh/tf-idf-on-apps", "kernel_id": "97490"}, {"ref": "jdavies1618/watwat", "kernel_id": "86563"}, {"ref": "jdavies1618/notebook2fd63ac606", "kernel_id": "86564"}, {"ref": "brianbai/notebook-8653fd9519ed18dee92f", "kernel_id": "77880"}, {"ref": "arcady27/low-ram-bag-of-apps-i", "kernel_id": "79381"}, {"ref": "newdad/practice-script", "kernel_id": "97570"}, {"ref": "newdad/notebookdd9fe36308", "kernel_id": "97571"}, {"ref": "prinar/ayirptalkingdata", "kernel_id": "89647"}, {"ref": "prinar/notebook911facb1a1", "kernel_id": "89614"}, {"ref": "krvperera/notebookbd49a108cb", "kernel_id": "88077"}, {"ref": "krvperera/notebookb66c77c70a", "kernel_id": "88078"}, {"ref": "sasimsb/talking-data-v-4-2", "kernel_id": "82412"}, {"ref": "sasimsb/talking-data-with-python", "kernel_id": "93585"}, {"ref": "yongjie/geolocation-visualisations", "kernel_id": "88458"}, {"ref": "celniker/geolocation-visualisations", "kernel_id": "112890"}, {"ref": "samehif/bag-of-app-id-python-2-27392", "kernel_id": "82516"}, {"ref": "linahu12/notebookfc348e2b44", "kernel_id": "99609"}, {"ref": "ledbetter/notebookb9d649a9c2", "kernel_id": "92891"}, {"ref": "wywang/brand-and-model-based-benchmarks-b36fa25f", "kernel_id": "90830"}, {"ref": "wywang/a-linear-model-on-apps-and-labels", "kernel_id": "90918"}, {"ref": "wywang/geolocation-visualisations", "kernel_id": "85442"}, {"ref": "wywang/notebook-f9cc65835a34920b7e09", "kernel_id": "85443"}, {"ref": "wywang/notebook-9bd32129044714576cb6", "kernel_id": "85462"}, {"ref": "wywang/notebook-4394f4a3d1707aceb223", "kernel_id": "85464"}, {"ref": "batmich/notebookc7a607bbf0", "kernel_id": "90569"}, {"ref": "wingsyzli/notebook-3a3493cec1efcd7a9eae", "kernel_id": "79494"}, {"ref": "wingsyzli/notebook-8eb070eb0766b4fed53b", "kernel_id": "78251"}, {"ref": "florianriche/notebook-6fa319e2a1b0b8e05f03", "kernel_id": "79301"}, {"ref": "jennysy2002/hello", "kernel_id": "84434"}, {"ref": "jennysy2002/notebook-942dca58e6992f7995aa", "kernel_id": "84436"}, {"ref": "jennysy2002/a-linear-model-on-apps-and-labels-40045192", "kernel_id": "91136"}, {"ref": "jennysy2002/bag-of-apps-keras-11-08-16-2", "kernel_id": "91158"}, {"ref": "jennysy2002/trial", "kernel_id": "91160"}, {"ref": "jennysy2002/keras-on-labels-and-brands", "kernel_id": "88829"}, {"ref": "jennysy2002/notebook173b744d5b", "kernel_id": "88826"}, {"ref": "jennysy2002/a-linear-model-on-apps-and-labels-29a47711", "kernel_id": "92689"}, {"ref": "jennysy2002/a-linear-model-on-apps-and-labels-1a62c7ef", "kernel_id": "92693"}, {"ref": "jerryweijang/notebook3822176903", "kernel_id": "94356"}, {"ref": "jerryweijang/notebookbbd9e5d4d4", "kernel_id": "85853"}, {"ref": "jerryweijang/notebooke720f90b7c", "kernel_id": "85854"}, {"ref": "speedoheck/notebook5158829ea8", "kernel_id": "93219"}, {"ref": "speedoheck/notebookf505f9271d", "kernel_id": "93238"}, {"ref": "speedoheck/pranaykaggle", "kernel_id": "89691"}, {"ref": "speedoheck/notebookb0ef82e28b", "kernel_id": "88646"}, {"ref": "speedoheck/kagglemobilepython", "kernel_id": "88878"}, {"ref": "speedoheck/mobiledatapranay", "kernel_id": "88565"}, {"ref": "hulkbulk/low-ram-bag-of-apps-python-2-7", "kernel_id": "80050"}, {"ref": "hulkbulk/low-ram-bag-of-apps", "kernel_id": "79953"}, {"ref": "thiagomatos/geolocation-visualisations", "kernel_id": "181539"}, {"ref": "thiagomatos/brand-and-model-based-benchmarks", "kernel_id": "181543"}, {"ref": "tejasdave/talking-data-script1", "kernel_id": "92134"}, {"ref": "jpzhangv/notebook-1f1e96702e81eee3020a", "kernel_id": "85528"}, {"ref": "gospursgo/xgboost-in-r-2-27217", "kernel_id": "82281"}, {"ref": "nicholasconnor/cccccc", "kernel_id": "82722"}, {"ref": "zthomas/notebookfb542f34ac", "kernel_id": "88109"}, {"ref": "zthomas/multinomial-logistic-reg-w-device-data", "kernel_id": "88110"}, {"ref": "zthomas/exploring-and-collapsing-app-usage-data", "kernel_id": "89120"}, {"ref": "zthomas/exploring-app-usage-some-data-cleaning", "kernel_id": "89117"}, {"ref": "arthas/a-linear-model-on-apps-and-labels", "kernel_id": "86475"}, {"ref": "jonaswangqi/notebook1558194a13", "kernel_id": "215732"}, {"ref": "jonaswangqi/notebook599cc43fad", "kernel_id": "117007"}, {"ref": "shishu/notebookc89bef3c72", "kernel_id": "88641"}, {"ref": "duncan1213/notebook779398d00f", "kernel_id": "91046"}, {"ref": "duncan1213/notebook9c14ac3c6b", "kernel_id": "90800"}, {"ref": "chaozhang/brand-and-model-a-to-b", "kernel_id": "92051"}, {"ref": "chaozhang/learning-tensorflow", "kernel_id": "91894"}, {"ref": "chaozhang/b-to-a", "kernel_id": "91462"}, {"ref": "chaozhang/test-input-format", "kernel_id": "91455"}, {"ref": "chaozhang/test-chao", "kernel_id": "91428"}, {"ref": "chaozhang/a-to-b", "kernel_id": "91437"}, {"ref": "maddarwin/notebook-447d01688b49ae7ad3ac", "kernel_id": "81411"}, {"ref": "maddarwin/notebook-62c1f09fe555b76a2ba8", "kernel_id": "81415"}, {"ref": "maddarwin/notebook-bcfee3442e0966b8d594", "kernel_id": "81417"}, {"ref": "maddarwin/notebook-a360c4317beffec9f9c1", "kernel_id": "81403"}, {"ref": "maddarwin/one-day-in-china-geolocation-animation", "kernel_id": "81060"}, {"ref": "ming861206/notebookc7b6923761", "kernel_id": "90297"}, {"ref": "tomaszkaczmarczyk/notebook-f5c0013b33570dbd311c", "kernel_id": "80006"}, {"ref": "tomaszkaczmarczyk/my-first-verif", "kernel_id": "80007"}, {"ref": "stutia/notebook-4c3a90c384e2e8a9ed36", "kernel_id": "85035"}, {"ref": "mlimli/geolocation-visualisations", "kernel_id": "78440"}, {"ref": "mlimli/notebook-b26330161cefb8cd8213", "kernel_id": "79087"}, {"ref": "kuntalganguly/geolocation-visualisations", "kernel_id": "78932"}, {"ref": "kuntalganguly/talking-data-overview", "kernel_id": "78933"}, {"ref": "kuntalganguly/notebook-73e5cfdc27ce06f09272", "kernel_id": "78934"}, {"ref": "kuntalganguly/notebook-fee2d66fffea08968a46", "kernel_id": "78935"}, {"ref": "kuntalganguly/notebook-b9074c311e66aae5e2ff", "kernel_id": "78936"}, {"ref": "salsinats/exploring-events-data", "kernel_id": "78894"}, {"ref": "gatesm/a-linear-model-on-apps-and-labels", "kernel_id": "93273"}, {"ref": "tezdhar/exploring-device-data-talking-data", "kernel_id": "92123"}, {"ref": "yqf3139/notebook87b43361a0", "kernel_id": "103676"}, {"ref": "yqf3139/user-portraits", "kernel_id": "103705"}, {"ref": "jalfaizy/trial", "kernel_id": "82595"}, {"ref": "alexstrat/notebook789969b4fa", "kernel_id": "85983"}, {"ref": "alexstrat/notebook24de76090e", "kernel_id": "85984"}, {"ref": "kamendula/a-linear-model-on-apps-and-labels", "kernel_id": "89582"}, {"ref": "kamendula/a-linear-model-on-apps-and-labels-e1828b08", "kernel_id": "89815"}, {"ref": "kamendula/fork-of-a-linear-model-on-apps-and-labels-e1828b08", "kernel_id": "89821"}, {"ref": "kamendula/geolocation-visualisations", "kernel_id": "89833"}, {"ref": "kamendula/brand-and-model-based-benchmarks", "kernel_id": "88637"}, {"ref": "ryutek/notebook-1a9c9ed9fb9346ac8e1e", "kernel_id": "81322"}, {"ref": "ryutek/notebook-cc3f7fd7292ba09ca069", "kernel_id": "81102"}, {"ref": "ryutek/brand-and-model-based-benchmarks-forked", "kernel_id": "81095"}, {"ref": "huanqi/geolocation-visualisations", "kernel_id": "87392"}, {"ref": "huanqi/geolocation-visualisations-83990ded", "kernel_id": "87394"}, {"ref": "huanqi/fork-of-geolocation-visualisations-83990ded", "kernel_id": "87395"}, {"ref": "huanqi/geolocation-visualisations-5bd74a39", "kernel_id": "87396"}, {"ref": "huanqi/brand-and-model-based-benchmarks", "kernel_id": "87406"}, {"ref": "huanqi/brand-and-model-based-benchmarks-473c64f4", "kernel_id": "87407"}, {"ref": "pipeno/notebook-3da2b6805596b2557ed8", "kernel_id": "85600"}, {"ref": "pandabambu/notebook-75eab6415d94e73dcc14", "kernel_id": "78103"}, {"ref": "kenzheng/brand-and-model-based-benchmarks-21d5a357", "kernel_id": "85834"}, {"ref": "kenzheng/brand-and-model-based-benchmarks-d7b7f17c", "kernel_id": "85828"}, {"ref": "kenzheng/brand-and-model-based-benchmarks-e2178c96", "kernel_id": "85831"}, {"ref": "kenzheng/brand-and-model-based-benchmarks", "kernel_id": "84586"}, {"ref": "kenzheng/brand-and-model-based-benchmarks-5bdc75dd", "kernel_id": "92580"}, {"ref": "vtsing/a-linear-model-on-apps-and-labels-62b5d242", "kernel_id": "87160"}, {"ref": "vtsing/a-linear-model-on-apps-and-labels", "kernel_id": "87140"}, {"ref": "xuanaux/brand-and-model-based-benchmarks", "kernel_id": "91429"}, {"ref": "xuanaux/brand-and-model-based-benchmarks-7082845c", "kernel_id": "91466"}, {"ref": "chekanskiy/brand-and-model-based-benchmarks", "kernel_id": "86783"}, {"ref": "chekanskiy/a-linear-model-on-apps-and-labels", "kernel_id": "86784"}, {"ref": "moyuji/a-linear-model-on-apps-and-labels", "kernel_id": "93589"}, {"ref": "xjingfu/brand-and-model-based-benchmarks", "kernel_id": "82101"}, {"ref": "xjingfu/notebook-adde7f56f0d7b45a1918", "kernel_id": "84210"}, {"ref": "xjingfu/notebook-66d35dcf11600491f31c", "kernel_id": "82825"}, {"ref": "xjingfu/testing-r", "kernel_id": "82826"}, {"ref": "xjingfu/notebook-c70ad43f04ec658f4f71", "kernel_id": "82831"}, {"ref": "xjingfu/notebook-a52bb874c8a8d9c90b8a", "kernel_id": "82838"}, {"ref": "xjingfu/notebook-3af8ce000a77d32e21e6", "kernel_id": "85362"}, {"ref": "xjingfu/notebook-5e8a8500c5c8ebb2f21e", "kernel_id": "85364"}, {"ref": "xjingfu/test-py", "kernel_id": "85365"}, {"ref": "xjingfu/notebook-7e1399da37301eb0b845", "kernel_id": "85366"}, {"ref": "xjingfu/test-py2", "kernel_id": "85368"}, {"ref": "xjingfu/notebook-c87e9b8f1b8bc20feb16", "kernel_id": "85370"}, {"ref": "xjingfu/notebook-321d4fefcd8e9e3921a9", "kernel_id": "85371"}, {"ref": "iosentinel/geolocation-visualisations", "kernel_id": "77967"}, {"ref": "saber00/low-ram-bag-of-apps-python", "kernel_id": "84552"}, {"ref": "billwang/notebook21c9c5ee12", "kernel_id": "172616"}, {"ref": "ubsingh9/notebook-a0461afa0f8a10e61b11", "kernel_id": "81796"}, {"ref": "iuga77/an-incremental-exploratory-analysis", "kernel_id": "78975"}, {"ref": "iuga77/translate-brand-names-snippet", "kernel_id": "78215"}, {"ref": "amhchiu/notebook-b77fa4c2af4fd5e42569", "kernel_id": "77834"}, {"ref": "amhchiu/playing-around-wip", "kernel_id": "77621"}, {"ref": "amhchiu/notebook-5cea045827059d14740b", "kernel_id": "77622"}, {"ref": "amhchiu/notebook-9b1d72ff244c7ddfc561", "kernel_id": "77623"}, {"ref": "amhchiu/notebook-bc23cf426af30f7cf16b", "kernel_id": "77625"}, {"ref": "murphy89/a-linear-model-on-apps-and-labels-b225f004", "kernel_id": "99149"}, {"ref": "murphy89/brand-and-model-based-benchmarks", "kernel_id": "98372"}, {"ref": "murphy89/brand-and-model-based-benchmarks-e1da09ba", "kernel_id": "98674"}, {"ref": "murphy89/a-linear-model-on-apps-and-labels", "kernel_id": "98932"}, {"ref": "fabench/a-linear-model-on-apps-and-labels", "kernel_id": "90071"}, {"ref": "lazovich/data-exploration", "kernel_id": "78757"}, {"ref": "lazovich/notebook-80e4acc9af9b23b10833", "kernel_id": "78759"}, {"ref": "lazovich/notebook-724cd8fa9319bc24500b", "kernel_id": "78760"}, {"ref": "taishomono/brand-and-model-based-benchmarks", "kernel_id": "79430"}, {"ref": "taishomono/notebook-2ecf90f90e4e99bf6117", "kernel_id": "81947"}, {"ref": "aaronsmith/notebook3cc8783d06", "kernel_id": "89413"}, {"ref": "ducquangnguyen/notebook-85901a16572ebb8a21a3", "kernel_id": "80845"}, {"ref": "ducquangnguyen/brand-and-model-based-benchmarks", "kernel_id": "80843"}, {"ref": "iglovikov/geolocation-visualisations", "kernel_id": "81363"}, {"ref": "worldwar2008/categorizing-labels", "kernel_id": "85581"}, {"ref": "janpannees/keras-on-labels-and-brands", "kernel_id": "88741"}, {"ref": "garywang/notebook2fcab6658b", "kernel_id": "90306"}, {"ref": "florentmoiny/a-linear-model-on-apps-and-labels", "kernel_id": "86646"}, {"ref": "florentmoiny/a-linear-model-on-apps-and-labels-b6bc51ef", "kernel_id": "86650"}, {"ref": "scollins/notebook-4a5a8368f88464df3853", "kernel_id": "78349"}, {"ref": "scollins/scollins-initial-submission-notebook", "kernel_id": "78729"}, {"ref": "wensi11/geolocation-visualisations", "kernel_id": "93537"}, {"ref": "shuangwu/first-trial", "kernel_id": "78911"}, {"ref": "yukiohnishi/brand-and-model-based-benchmarks", "kernel_id": "88215"}, {"ref": "yuvraj/notebook5b7ab55c1e", "kernel_id": "86900"}, {"ref": "machiaweil/notebookf4f4c83a61", "kernel_id": "89047"}, {"ref": "criloz/geolocation-visualisations", "kernel_id": "81056"}, {"ref": "tushartilwankar/notebook-cb3521fa477b612a6780", "kernel_id": "80308"}, {"ref": "prasunkgupta/geolocation-visualisations", "kernel_id": "89189"}, {"ref": "chrisw1/variations-across-time-of-day", "kernel_id": "92216"}, {"ref": "datascientist1/a-linear-model-on-apps-and-labels-8ce19cb8", "kernel_id": "93668"}, {"ref": "jaredchung/notebook56cc835d36", "kernel_id": "92237"}, {"ref": "jaredchung/notebook-4bd7cb6e87fe54b35573", "kernel_id": "79882"}, {"ref": "kagg1er/fork-of-notebook7ef3bbd5c7", "kernel_id": "88782"}, {"ref": "kagg1er/notebook7ef3bbd5c7", "kernel_id": "88764"}, {"ref": "kagg1er/test42", "kernel_id": "88765"}, {"ref": "kagg1er/fork-of-test422-711795d2", "kernel_id": "88771"}, {"ref": "kagg1er/notebook20e8d3b225", "kernel_id": "90372"}, {"ref": "kagg1er/fork-of-test42", "kernel_id": "91259"}, {"ref": "medhomegha/talkingdata-slate", "kernel_id": "80617"}, {"ref": "medhomegha/brand-and-model-based-benchmarks", "kernel_id": "80610"}, {"ref": "medhomegha/notebook-6e1be8a6d440b7f300e1", "kernel_id": "80611"}, {"ref": "vk4arm/geolocation-visualisations", "kernel_id": "77876"}, {"ref": "cameronsim/test1", "kernel_id": "78734"}, {"ref": "cameronsim/notebook-51db2235d67a15ffeba8", "kernel_id": "78728"}, {"ref": "vrastonero/notebookc2ef7f2096", "kernel_id": "86854"}, {"ref": "zhuhuangjian/notebook-914f5db8b4ba7ce7de58", "kernel_id": "80068"}, {"ref": "mathlf2015/a-linear-model-on-apps-and-labels-d82b9109", "kernel_id": "90328"}, {"ref": "keisho/notebook-878c5cef4748b8928e98", "kernel_id": "84666"}, {"ref": "andheroe/brand-and-model-based-benchmarks-837f4de1", "kernel_id": "86775"}, {"ref": "andheroe/brand-and-model-based-benchmarks-25c68dd2", "kernel_id": "86751"}, {"ref": "andheroe/brand-and-model-based-benchmarks", "kernel_id": "86735"}, {"ref": "anushapatnaik/notebook-b2284a8e0798cb60b5d6", "kernel_id": "78868"}, {"ref": "anushapatnaik/notebook-2864592ace81adb6b3fd", "kernel_id": "78871"}, {"ref": "chengxuyuanxiaowang/dfasdfweg", "kernel_id": "108594"}, {"ref": "chengxuyuanxiaowang/notebook85f0ec7966", "kernel_id": "108595"}, {"ref": "xiaoleilu/a-linear-model-on-apps-and-labels", "kernel_id": "97100"}, {"ref": "shivi82/notebookbf2a425ae9", "kernel_id": "135183"}, {"ref": "chriscc/low-ram-bag-of-apps-python-2-7", "kernel_id": "80084"}, {"ref": "chriscc/notebook-9fd3283c5df17a04bc84", "kernel_id": "80141"}, {"ref": "chriscc/notebook-4daceb3c0f7a447f3536", "kernel_id": "80221"}, {"ref": "chriscc/esfds", "kernel_id": "80222"}, {"ref": "chriscc/testtest", "kernel_id": "80215"}, {"ref": "thechipmunk/notebook-794f61c7b4caac0429d5", "kernel_id": "82823"}, {"ref": "lxinbit/exploring-taking-data", "kernel_id": "78497"}, {"ref": "lxinbit/some-exploration", "kernel_id": "78499"}, {"ref": "lxinbit/firsttry", "kernel_id": "78502"}, {"ref": "chambox/notebook-b568d8bd706b7f630f91", "kernel_id": "81058"}, {"ref": "chambox/notebook-cdb44f24934c1539cd9b", "kernel_id": "81059"}, {"ref": "alextrickey/notebook-55189eb90a1085ea9ea5", "kernel_id": "81355"}, {"ref": "alextrickey/notebook-d3bc363d34f795ad4d77", "kernel_id": "81356"}, {"ref": "xiaoyuwang/notebook-14485dc2f4883391ce67", "kernel_id": "77453"}, {"ref": "thinkdata/notebook085d52e475", "kernel_id": "86422"}, {"ref": "thinkdata/talking-data-learn-from-dune-dweller", "kernel_id": "86423"}, {"ref": "chinni/notebook6947aa37b4", "kernel_id": "97410"}, {"ref": "karma86/a-linear-model-on-apps-and-labels-b543e5ac", "kernel_id": "87037"}, {"ref": "xmarvin/categorizing-labels", "kernel_id": "81028"}, {"ref": "xmarvin/xgboost-with-apps-and-labels", "kernel_id": "80011"}, {"ref": "mangolzy/notebook-cdec1bdd2ae3cbe9201b", "kernel_id": "79188"}, {"ref": "wangzhen/notebook8b89bb0747", "kernel_id": "89552"}, {"ref": "pirasakat/geolocation-visualisations", "kernel_id": "78810"}, {"ref": "sunakshi132/notebook-6d08147228e160cbb947", "kernel_id": "83909"}, {"ref": "sunakshi132/notebook-268ec521d9ec6a7c49c5", "kernel_id": "83910"}, {"ref": "ayushedu/merging-datasets", "kernel_id": "94160"}, {"ref": "algogol/geolocation-visualisations", "kernel_id": "79800"}, {"ref": "algogol/notebook-9a39de3f4880ed0ec2ba", "kernel_id": "79802"}, {"ref": "algogol/notebook-0eeb6ad4864024d56173", "kernel_id": "79803"}, {"ref": "algogol/notebook-79d93fee3215ecc3d13f", "kernel_id": "79804"}, {"ref": "khaledfayed/brand-and-model-based-benchmarks", "kernel_id": "80668"}, {"ref": "khaledfayed/xgboost-in-r-2-27217-my", "kernel_id": "83944"}, {"ref": "chechir/keras-cv10-with-bags5-wevents-alldata", "kernel_id": "95219"}, {"ref": "chechir/xgboost-in-r-2-27217-mygod", "kernel_id": "82368"}, {"ref": "chechir/only-another-exploratory-analysis", "kernel_id": "81914"}, {"ref": "chechir/low-ram-bag-of-apps-python-2-7-2", "kernel_id": "80473"}, {"ref": "chechir/keras-on-labels-and-brands", "kernel_id": "87110"}, {"ref": "chechir/a-keras-model-on-apps-and-labels", "kernel_id": "86961"}, {"ref": "jsh127/nnet-keras-10", "kernel_id": "87887"}, {"ref": "wliping/some-exploration", "kernel_id": "78093"}, {"ref": "antediemterzium/notebook-8715415561187e14cbcd", "kernel_id": "77756"}, {"ref": "antediemterzium/notebook-c6cdc2ce24539d18bcb8", "kernel_id": "77748"}, {"ref": "antediemterzium/talkingdata-r-exploration", "kernel_id": "77749"}, {"ref": "antediemterzium/talkingdata-expl", "kernel_id": "77750"}, {"ref": "dineshlal/a-linear-model-on-apps-and-labels", "kernel_id": "86920"}, {"ref": "dineshlal/a-linear-model-on-apps-and-labels-9c154843", "kernel_id": "86927"}, {"ref": "dineshlal/a-linear-model-on-apps-and-labels-1624cfc9", "kernel_id": "91560"}, {"ref": "qiaozhang/notebook-415ee9f832f74f8008a6", "kernel_id": "80649"}, {"ref": "qiaozhang/notebook-6d79bea132c6dd42b889", "kernel_id": "80650"}, {"ref": "qiaozhang/notebook-834b885ce5db1c50d90f", "kernel_id": "81527"}, {"ref": "sureshds/brand-and-model-based-benchmarks", "kernel_id": "79675"}, {"ref": "marble/try-talkingdata", "kernel_id": "91543"}, {"ref": "alicelane/notebook-a8b9ecf41caa8a4a7416", "kernel_id": "79626"}, {"ref": "alicelane/notebook-60cdcbd9aa16e4c2edca", "kernel_id": "80387"}, {"ref": "alicelane/notebook-f6c59c7ae38c41a7edc3", "kernel_id": "80270"}, {"ref": "alicelane/phone1", "kernel_id": "80271"}, {"ref": "chadapohn/a-linear-model-on-apps-and-labels", "kernel_id": "87469"}, {"ref": "fangorn/geolocation-visualisations", "kernel_id": "79164"}, {"ref": "sterby/a-linear-model-on-apps-and-labels", "kernel_id": "86490"}, {"ref": "alokkr/a-linear-model-on-apps-and-labels", "kernel_id": "86827"}, {"ref": "alokkr/a-linear-model-on-apps-and-labels-b0f32d73", "kernel_id": "86976"}, {"ref": "hachiko/geolocation-visualisations", "kernel_id": "88553"}, {"ref": "nitsourish/notebook-853b99b316e9e0bb642f", "kernel_id": "78929"}, {"ref": "behrang/low-ram-bag-of-apps", "kernel_id": "89846"}, {"ref": "behrang/notebook4c1b108395", "kernel_id": "89855"}, {"ref": "behrang/xgboost-in-r-2-27217-my", "kernel_id": "85709"}, {"ref": "sgodbole/analysis-talking", "kernel_id": "91174"}, {"ref": "kevinding/a-linear-model-on-apps-and-labels", "kernel_id": "90352"}, {"ref": "davidl6/low-ram-bag-of-apps-python-2-7-i", "kernel_id": "81029"}, {"ref": "rutvikparmar/notebook-29430d8e8af896b68e45", "kernel_id": "78968"}, {"ref": "rutvikparmar/notebook-14579b9358a8cbffa1f0", "kernel_id": "78969"}, {"ref": "rutvikparmar/notebook-fbb6a6fc5f18f8b05dd0", "kernel_id": "79684"}, {"ref": "kamendu/a-linear-model-on-apps-and-labels", "kernel_id": "88230"}, {"ref": "kaitfolweiler/notebook7619c6511e", "kernel_id": "88520"}, {"ref": "mooniim/brand-and-model-based-benchmarks", "kernel_id": "88670"}, {"ref": "mooniim/notebooka0bff4b551", "kernel_id": "88681"}, {"ref": "mooniim/a-linear-model-on-apps-and-labels-4e7f63da", "kernel_id": "88690"}, {"ref": "mooniim/a-linear-model-on-apps-and-labels-6c966611", "kernel_id": "88687"}, {"ref": "zhiyue/t-sne-visualization-v2", "kernel_id": "115125"}, {"ref": "zhiyue/bag-of-apps-keras-11-08-16", "kernel_id": "115143"}, {"ref": "zhiyue/geolocation-visualisations-2c7817", "kernel_id": "204894"}, {"ref": "nulysenko/notebook-987f6de58ee98aa2ec2a", "kernel_id": "84673"}, {"ref": "nulysenko/notebook-17b5aa7559d3994c2a67", "kernel_id": "84674"}, {"ref": "mankutimma/geolocation-visualisations", "kernel_id": "80738"}, {"ref": "zerostack/notebook-101e7254b58083545bb0", "kernel_id": "84972"}, {"ref": "zerostack/admin-r", "kernel_id": "84973"}, {"ref": "esawtooth/talkingdata-analysis", "kernel_id": "79642"}, {"ref": "esawtooth/notebook-32b432c99c0a71cf64da", "kernel_id": "79643"}, {"ref": "shanup/merging-the-tables", "kernel_id": "83871"}, {"ref": "dongyuan/brand-and-model-based-benchmarks", "kernel_id": "87596"}, {"ref": "dongyuan/brand-and-model-based-benchmarks-f1c85b33", "kernel_id": "90353"}, {"ref": "marziye/nnet-python", "kernel_id": "87464"}, {"ref": "burakhmmtgl/benchmarks-using-dplyr", "kernel_id": "84998"}, {"ref": "parpulovdmitry/simple-benchmarks", "kernel_id": "84640"}, {"ref": "parpulovdmitry/notebook-bbb393cbd6d62348d430", "kernel_id": "84642"}, {"ref": "parpulovdmitry/test1", "kernel_id": "80462"}, {"ref": "parpulovdmitry/notebook-f95499b9611326078655", "kernel_id": "80463"}, {"ref": "parpulovdmitry/notebook-49eada0afcc2f5f6b4a7", "kernel_id": "80464"}, {"ref": "glebvasiliev/sparse-xgboost-starter-2-26857", "kernel_id": "88955"}, {"ref": "vishnukondepati/notebook-9e669bbed09defa73c87", "kernel_id": "82165"}, {"ref": "vishnukondepati/categorizing-labels", "kernel_id": "82159"}, {"ref": "chengcen/bag-of-apps-keras-12-08-16-no-vall", "kernel_id": "88192"}, {"ref": "chengcen/bag-of-apps-lol", "kernel_id": "91178"}, {"ref": "biembbiessola/a-linear-model-on-apps-and-labels", "kernel_id": "92488"}, {"ref": "biembbiessola/a-linear-model-on-apps-and-labels-f4842310", "kernel_id": "94253"}, {"ref": "biembbiessola/brand-and-model-based-benchmarks", "kernel_id": "93869"}, {"ref": "jinshi/notebookdf1e9223bf", "kernel_id": "104684"}, {"ref": "legorreta/a-linear-model-on-apps-and-labels", "kernel_id": "92263"}, {"ref": "zydxwpw/notebook-33fff52ff5faf7246943", "kernel_id": "85084"}, {"ref": "zydxwpw/notebook-a18e396814567a2a6c0b", "kernel_id": "84962"}, {"ref": "zydxwpw/brand-and-model-based-benchmarks", "kernel_id": "84930"}, {"ref": "fpch19890404/xgboost-simple-starter", "kernel_id": "80315"}, {"ref": "fpch19890404/a-linear-model-on-apps-and-labels-3b159474", "kernel_id": "89222"}, {"ref": "fpch19890404/notebook38b972065a", "kernel_id": "89229"}, {"ref": "upretip/importing-data", "kernel_id": "77508"}, {"ref": "cryptto/notebook-3f85cca5e3e82431cd92", "kernel_id": "80122"}, {"ref": "daytaa/talkingdata", "kernel_id": "85851"}, {"ref": "syzhang8/bag-of-app-id-python-2-27392", "kernel_id": "93314"}, {"ref": "yfwz100/starter", "kernel_id": "79342"}, {"ref": "yfwz100/bag-of-apps", "kernel_id": "80546"}, {"ref": "anilcs/xgboost-simple-starter", "kernel_id": "77785"}, {"ref": "ecslady/notebook-ac9f27fa24963a098ecc", "kernel_id": "84745"}, {"ref": "alwnlai/brand-and-model-based-benchmarks", "kernel_id": "80113"}, {"ref": "catlain/test1234", "kernel_id": "105685"}, {"ref": "tomkowski/geolocation-visualisations", "kernel_id": "86664"}, {"ref": "knsamy/a-linear-model-on-apps-and-labels", "kernel_id": "94032"}, {"ref": "siyaozheng/notebook693989a453", "kernel_id": "92298"}, {"ref": "lirui415/notebook-592d1188e08b1a337d33", "kernel_id": "82814"}, {"ref": "zveroloff/bag-of-apps-keras-11-08-16-no-val-moo-5", "kernel_id": "94500"}, {"ref": "jpires/keras-cv10-with-bags5-wevents-alldata", "kernel_id": "97764"}, {"ref": "jpires/learning-pandas-follow-by-experts-i", "kernel_id": "82646"}, {"ref": "jpires/a-linear-model-on-apps-and-labels", "kernel_id": "86183"}, {"ref": "jpires/notebook-86f0cd9dbb97ac71cf34", "kernel_id": "78285"}, {"ref": "yigalw/a-linear-model-on-apps-and-labels", "kernel_id": "130122"}, {"ref": "abednadir/talking-data-v-30-avg-by-seed", "kernel_id": "84751"}, {"ref": "ml3705455/notebook-daee8a1fdb4a1b3db887", "kernel_id": "77765"}, {"ref": "zmingshi/notebook8b267a23ad", "kernel_id": "93829"}, {"ref": "caiomsouza/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "88475"}, {"ref": "snow1223/notebook4f251229bd", "kernel_id": "94481"}, {"ref": "dps211/sparse-matrix-for-all-the-feature-sets", "kernel_id": "94482"}, {"ref": "dps211/notebook035a175af4", "kernel_id": "94472"}, {"ref": "geekdad/a-linear-model-on-apps-and-labels-1602cfa5", "kernel_id": "88162"}, {"ref": "geekdad/geolocation-visualisations", "kernel_id": "92875"}, {"ref": "geekdad/linear-model-apps-labels", "kernel_id": "92904"}, {"ref": "attila007/brand-and-model-based-benchmarks", "kernel_id": "93420"}, {"ref": "rhoslug/notebook-36e28c545a30e6d5d0c7", "kernel_id": "81988"}, {"ref": "rhoslug/notebooka4bbba8277", "kernel_id": "86396"}, {"ref": "bnaveen/a-linear-model-on-apps-and-labels", "kernel_id": "92433"}, {"ref": "bnaveen/fork-of-a-linear-model-on-apps-and-labels", "kernel_id": "92481"}, {"ref": "arpangupta87/notebook-07605e1d99f1e3b0b6f2", "kernel_id": "78961"}, {"ref": "davidsalazarv95/notebook-47ceb0ee9efe9747a2e7", "kernel_id": "78741"}, {"ref": "pranavsm/a-linear-model-on-apps-and-labels", "kernel_id": "88965"}, {"ref": "pranavsm/talking-data-svm2", "kernel_id": "88956"}, {"ref": "pranavsm/talkingdata-with-svm", "kernel_id": "88933"}, {"ref": "jals123/notebook-a2a2fe7448dbfa71663c", "kernel_id": "79030"}, {"ref": "jals123/notebook-1f944e3c6dad365b1e5b", "kernel_id": "79031"}, {"ref": "wpiyanwang/categorizing-labels", "kernel_id": "86105"}, {"ref": "ljbrahmas/brand-and-model-based-benchmarks", "kernel_id": "91274"}, {"ref": "yurrzz/notebook-709c97945f10f6b4c6c9", "kernel_id": "84009"}, {"ref": "yurrzz/notebook-42770e548eaf1273038e", "kernel_id": "80049"}, {"ref": "albertcamps/brand-and-model-based-benchmarks", "kernel_id": "82513"}, {"ref": "albertcamps/notebook-c201b932c33ac48d321d", "kernel_id": "77851"}, {"ref": "xiaoa6435/a-linear-model-on-apps-and-labels", "kernel_id": "97092"}, {"ref": "vishallakha/xgboost-in-r-v1", "kernel_id": "81228"}, {"ref": "vishallakha/low-ram-bag-of-apps-i", "kernel_id": "79439"}, {"ref": "vishallakha/chicken-momos-plate-number-2", "kernel_id": "78863"}, {"ref": "vishallakha/chicken-momos-plate-1", "kernel_id": "78493"}, {"ref": "sr71nighthawk/notebookb4b894c9c5", "kernel_id": "86698"}, {"ref": "wenruliu/app-demographics", "kernel_id": "91993"}, {"ref": "wenruliu/talking-data-explore", "kernel_id": "90309"}, {"ref": "abhigenie92/checking-data", "kernel_id": "82762"}, {"ref": "loohai/notebook-3710e4b1053a209bb6f1", "kernel_id": "77695"}, {"ref": "phesami/notebookf9a3382ed9", "kernel_id": "173211"}, {"ref": "pangyifei/notebookb70d3b4550", "kernel_id": "112987"}, {"ref": "pangyifei/hehehe", "kernel_id": "113238"}, {"ref": "pangyifei/notebook58a141f339", "kernel_id": "113301"}, {"ref": "pangyifei/notebook82163ef843", "kernel_id": "116339"}, {"ref": "pangyifei/learning-pandas-follow-by-experts-i", "kernel_id": "113794"}, {"ref": "pangyifei/notebook84591f5a89", "kernel_id": "113656"}, {"ref": "happycube/a-linear-model-on-apps-and-labels", "kernel_id": "92284"}, {"ref": "wordsforthewise/xgboost-in-r-2-27217", "kernel_id": "92259"}, {"ref": "adityagore/startup-analysis", "kernel_id": "80684"}, {"ref": "johnabe/a-linear-model-on-apps-and-labels", "kernel_id": "93803"}, {"ref": "johnabe/brand-and-model-based-benchmarks-433f0b39", "kernel_id": "87590"}, {"ref": "johnabe/brand-and-model-based-benchmarks-a082cc2b", "kernel_id": "87606"}, {"ref": "agavranis/low-ram-bag-of-apps-ii", "kernel_id": "79396"}, {"ref": "agavranis/xgboost-in-r-2-28192", "kernel_id": "81492"}, {"ref": "agavranis/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "88377"}, {"ref": "agavranis/bag-of-apps-keras-12-08-16-no-vall", "kernel_id": "88186"}, {"ref": "thedarkl0rd/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "88975"}, {"ref": "thedarkl0rd/bag-of-apps-keras", "kernel_id": "89001"}, {"ref": "lalthan/notebook-for-testing", "kernel_id": "88493"}, {"ref": "lalthan/notebook6ddec799a9", "kernel_id": "88495"}, {"ref": "lalthan/xgboost-simple-starter-more-features", "kernel_id": "88496"}, {"ref": "fever36why/xgboost-in-r-2-27217-my", "kernel_id": "88589"}, {"ref": "fever36why/a-linear-model-on-apps-and-labels-87fc1f14", "kernel_id": "89322"}, {"ref": "fever36why/a-linear-model-on-apps-and-labels-6108a81b", "kernel_id": "87962"}, {"ref": "fever36why/notebook315255b128", "kernel_id": "87963"}, {"ref": "fever36why/notebooke3018f733d", "kernel_id": "87964"}, {"ref": "fever36why/xgboost-in-r-2-27217", "kernel_id": "87965"}, {"ref": "fever36why/a-linear-model-on-apps-and-labels-666dc2c4", "kernel_id": "87987"}, {"ref": "fever36why/a-linear-model-on-apps-and-labels-905c0868", "kernel_id": "87975"}, {"ref": "hardeeparora/a-linear-model-on-apps-and-labels", "kernel_id": "91075"}, {"ref": "dandanbang/brand-and-model-based-benchmarks", "kernel_id": "83978"}, {"ref": "avipsa/exploring-talking-data", "kernel_id": "116057"}, {"ref": "zed9941/notebook-c698a7b876240f32d468", "kernel_id": "82658"}, {"ref": "apapiu/notebookc697bc3ab1", "kernel_id": "94552"}, {"ref": "apapiu/a-linear-model-on-apps-and-labels", "kernel_id": "86314"}, {"ref": "apapiu/a-linear-boosted-model-on-apps-and-labels", "kernel_id": "86315"}, {"ref": "apapiu/low-ram-bag-of-apps-python-2-7", "kernel_id": "80171"}, {"ref": "apapiu/xgboost-in-r-2-28192", "kernel_id": "81316"}, {"ref": "aleggitt/notebooka52aa14d77", "kernel_id": "88816"}, {"ref": "aleggitt/notebook6f6fe3262a", "kernel_id": "88817"}, {"ref": "aleggitt/getting-started", "kernel_id": "88809"}, {"ref": "algonell/notebook-0e2008e2a4e7f20af524", "kernel_id": "84881"}, {"ref": "prajnan/notebook-3bf30f74da17666a6298", "kernel_id": "83980"}, {"ref": "jjacquet/notebook-b3ccdaab4ced06f1771d", "kernel_id": "79862"}, {"ref": "stgiles/geolocation-visualisations-04a26146", "kernel_id": "99913"}, {"ref": "stgiles/geolocation-visualisations", "kernel_id": "99896"}, {"ref": "joconnor/a-linear-model-on-apps-and-labels", "kernel_id": "91828"}, {"ref": "wangyajun/anaylse", "kernel_id": "78137"}, {"ref": "danielxuan/notebook-e5af631bd6515e0c82bc", "kernel_id": "80230"}, {"ref": "pragyag/a-linear-model-on-apps-and-labels", "kernel_id": "87563"}, {"ref": "dumbris/test-tensorflow", "kernel_id": "81031"}, {"ref": "dumbris/notebook-test-output", "kernel_id": "81033"}, {"ref": "markelov/notebook-2fa20676fb8029b34d97", "kernel_id": "82809"}, {"ref": "brassmonkey381/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "88959"}, {"ref": "brassmonkey381/notebookeb53582bb2", "kernel_id": "93505"}, {"ref": "brassmonkey381/a-linear-model-on-apps-and-labels-20f1e423", "kernel_id": "94223"}, {"ref": "brassmonkey381/notebook4ec11f7290", "kernel_id": "93996"}, {"ref": "brassmonkey381/a-linear-model-on-apps-and-labels", "kernel_id": "94012"}, {"ref": "brassmonkey381/notebook-9a7aed7ca487f0541f93", "kernel_id": "78145"}, {"ref": "brassmonkey381/age-and-gender", "kernel_id": "77507"}, {"ref": "dagarkatyal/low-ram-bag-of-apps-i", "kernel_id": "79338"}, {"ref": "scogill/a-linear-model-on-apps-and-labels", "kernel_id": "90096"}, {"ref": "qqgeogor/notebook-2c1e4f17e94a41fff07b", "kernel_id": "80822"}, {"ref": "CVxTz/xgboost-simple-starter", "kernel_id": "78122"}, {"ref": "neeti1992/bag-of-apps-keras-no-val", "kernel_id": "93283"}, {"ref": "neeti1992/delme", "kernel_id": "93216"}, {"ref": "sajal0jain/delme-1", "kernel_id": "92618"}, {"ref": "chenchaodev/a-linear-model-on-apps-and-labels", "kernel_id": "90982"}, {"ref": "chenchaodev/notebookefe70bc55e", "kernel_id": "90988"}, {"ref": "ashubhargave/brand-counts", "kernel_id": "78335"}, {"ref": "jak131/geolocation-visualisations", "kernel_id": "88416"}, {"ref": "jak131/geolocation-visualisations-0456b369", "kernel_id": "88417"}, {"ref": "jak131/geolocation-visualisations-daf5303e", "kernel_id": "88418"}, {"ref": "jak131/brand-and-model-based-benchmarks", "kernel_id": "88420"}, {"ref": "jak131/geolocation-visualisations-a60adf81", "kernel_id": "88421"}, {"ref": "asikhalaban/investigating-time-and-day-and-gender", "kernel_id": "91167"}, {"ref": "benlindsay/brand-and-model-based-benchmarks", "kernel_id": "84026"}, {"ref": "benlindsay/notebook-710697af6506249acf98", "kernel_id": "84027"}, {"ref": "slider/bag-of-apps-keras-11-08-16", "kernel_id": "91846"}, {"ref": "kachon10/brand-and-model-based-benchmarks", "kernel_id": "85524"}, {"ref": "kqdmqx/notebooka712119591", "kernel_id": "86093"}, {"ref": "kqdmqx/notebookcca8921027", "kernel_id": "86096"}, {"ref": "indusinsights/talking-data-v-31", "kernel_id": "85898"}, {"ref": "codeloverguy/brand-and-model-based-benchmarks", "kernel_id": "80380"}, {"ref": "codeloverguy/notebook-8f498746a2fdafc631a3", "kernel_id": "80381"}, {"ref": "maddynit/000000000000", "kernel_id": "90953"}, {"ref": "datasan/notebook-f26370daf9e7911d471e", "kernel_id": "78485"}, {"ref": "jeanodoux/notebook54d86784f3", "kernel_id": "89581"}, {"ref": "lingcheng99/notebook9094be82f5", "kernel_id": "97021"}, {"ref": "trivid/notebookfdacf23f3b", "kernel_id": "89286"}, {"ref": "digitalpig/notebook-d68d09debcf16179bc98", "kernel_id": "82127"}, {"ref": "digitalpig/notebook-22c8b24170c8b06fca7d", "kernel_id": "82128"}, {"ref": "digitalpig/talk-data-zq", "kernel_id": "82131"}, {"ref": "johnsonwu/notebook-d55c305174c309bcde20", "kernel_id": "84658"}, {"ref": "johnsonwu/notebook-cb38199dac127aea687d", "kernel_id": "84660"}, {"ref": "johnsonwu/first-submit", "kernel_id": "84654"}, {"ref": "johnsonwu/notebook-f06add99f7b1333d4787", "kernel_id": "84669"}, {"ref": "datadiggerls/notebook-0c5cf8f0e9e6f3a2cc9b", "kernel_id": "79879"}, {"ref": "wpppj001/geolocation-visualisations", "kernel_id": "87986"}, {"ref": "wpppj001/brand-and-model-based-benchmarks", "kernel_id": "81545"}, {"ref": "wpppj001/feature-reverse-geo-city-district", "kernel_id": "93117"}, {"ref": "wpppj001/feature-engineering-device-login-hour", "kernel_id": "93094"}, {"ref": "tunguz/the-one-table", "kernel_id": "77510"}, {"ref": "tunguz/bag-of-apps-keras-1", "kernel_id": "94409"}, {"ref": "tunguz/bag-of-apps-keras-11-08-16-no-val-moo-5", "kernel_id": "94367"}, {"ref": "mounikm/notebook54c347a417", "kernel_id": "101804"}, {"ref": "ermochi/notebook-8c405f12ac913c660667", "kernel_id": "84638"}, {"ref": "ermochi/notebook-bacfab518ff165fe3737", "kernel_id": "84632"}, {"ref": "ermochi/fork-of-codigofinal1", "kernel_id": "86281"}, {"ref": "ermochi/notebook723bbb53df", "kernel_id": "87038"}, {"ref": "ermochi/notebook262c04bbba", "kernel_id": "87039"}, {"ref": "ermochi/asdfasdf", "kernel_id": "87046"}, {"ref": "ermochi/final", "kernel_id": "87056"}, {"ref": "ermochi/notebook1c6b68d4a9", "kernel_id": "87034"}, {"ref": "ermochi/copia", "kernel_id": "87311"}, {"ref": "ermochi/notebook4f54fa39ba", "kernel_id": "87306"}, {"ref": "ermochi/notebookdd881d4351", "kernel_id": "88006"}, {"ref": "ermochi/notebooka27be73943", "kernel_id": "87998"}, {"ref": "ermochi/notebook26378f6928", "kernel_id": "88012"}, {"ref": "yuvisu/a-linear-model-on-apps-and-labels", "kernel_id": "86877"}, {"ref": "yuvisu/a-linear-model-on-apps-and-labels-d314add1", "kernel_id": "86878"}, {"ref": "vasilyz/a-linear-model-on-apps-and-labels-43fc8b52", "kernel_id": "89619"}, {"ref": "vasilyz/a-linear-model-on-apps-and-labels", "kernel_id": "89564"}, {"ref": "ingvar888/notebookdce754c01c", "kernel_id": "92138"}, {"ref": "ingvar888/a-linear-model-on-apps-and-labels-8191bbaf", "kernel_id": "94170"}, {"ref": "ingvar888/a-linear-model-on-apps-and-labels", "kernel_id": "94137"}, {"ref": "hwan9730/a-linear-model-on-apps-and-labels", "kernel_id": "89626"}, {"ref": "aiijoe/notebook2816982a52", "kernel_id": "89698"}, {"ref": "awangntu/notebook-ca87f4c06f4cfc2fe625", "kernel_id": "82187"}, {"ref": "awangntu/brand-and-model-based-benchmarks", "kernel_id": "82188"}, {"ref": "boltonidze/notebook-2c8c018934067c2a0319", "kernel_id": "78116"}, {"ref": "kevins/a-linear-model-on-apps-and-labels", "kernel_id": "94475"}, {"ref": "kevins/xgboost-in-r-with-extra-data", "kernel_id": "94446"}, {"ref": "keaideii/a-linear-model-on-apps-and-labels-f1c7eec8", "kernel_id": "153208"}, {"ref": "aleino/notebook-91c909a8273b767a2753", "kernel_id": "82000"}, {"ref": "aleino/talkingdata-test", "kernel_id": "82001"}, {"ref": "carlosavellaneda8/notebook-f724f2e6beaa64506a23", "kernel_id": "78303"}, {"ref": "carlosavellaneda8/blah22", "kernel_id": "78305"}, {"ref": "king8023/a-linear-model-on-apps-and-labels", "kernel_id": "105496"}, {"ref": "sword36/notebook-8953f35dd07d3bb667cc", "kernel_id": "80075"}, {"ref": "sword36/low-ram-datasets", "kernel_id": "80076"}, {"ref": "angor75/talkingdata", "kernel_id": "79197"}, {"ref": "angor75/notebook-075feb0be53e17398d33", "kernel_id": "79198"}, {"ref": "angor75/notebook-c640e78ed1e30b0baa3b", "kernel_id": "79199"}, {"ref": "angor75/notebook-fe40d52902ba1dc66537", "kernel_id": "79077"}, {"ref": "angor75/notebook-41a91627172c502136aa", "kernel_id": "79078"}, {"ref": "angor75/notebook-f1a2dfe33ba63276f9be", "kernel_id": "79073"}, {"ref": "bgnipp/notebook-db50dad752b9637be7d0", "kernel_id": "79577"}, {"ref": "bgnipp/notebook-00e1125c75dde5f17828", "kernel_id": "82406"}, {"ref": "bgnipp/notebook-0c05e573ac1eea280eae", "kernel_id": "82407"}, {"ref": "norpadon/notebook-e58d90446bbfeef170c1", "kernel_id": "84010"}, {"ref": "qintxx/a-linear-model-on-apps-and-labels", "kernel_id": "96170"}, {"ref": "qintxx/brand-and-model-based-benchmarks", "kernel_id": "94649"}, {"ref": "rprades/geolocation-visualisations", "kernel_id": "88887"}, {"ref": "rprades/user-portraits", "kernel_id": "88888"}, {"ref": "rprades/a-linear-boosted-model-on-apps-and-labels", "kernel_id": "88889"}, {"ref": "rprades/a-linear-model-on-apps-and-labels", "kernel_id": "88885"}, {"ref": "madhurmd/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "92161"}, {"ref": "tplandow/a-linear-model-on-apps-and-labels", "kernel_id": "87967"}, {"ref": "janekberger/categorizing-labels", "kernel_id": "84695"}, {"ref": "janekberger/notebook-37084052bc1bdc52a3f2", "kernel_id": "84696"}, {"ref": "loveleen2201/brand-and-model-based-benchmarks", "kernel_id": "93371"}, {"ref": "avipsa1/demographic-prediction-from-location", "kernel_id": "85943"}, {"ref": "avipsa1/demogrpahic-prediction-from-location", "kernel_id": "85921"}, {"ref": "thetaunit0/brand-and-model-based-benchmarks", "kernel_id": "79584"}, {"ref": "junfeng/nnet-keras-full-train-full-test", "kernel_id": "87901"}, {"ref": "myzhou1994/sparse-xgboost-starter-2-26857", "kernel_id": "86968"}, {"ref": "myzhou1994/xgboost-simple-starter-more-features", "kernel_id": "87003"}, {"ref": "kimboqi/a-linear-model-on-apps-and-labels-ca2786b9", "kernel_id": "95427"}, {"ref": "kimboqi/a-linear-model-on-apps-and-labels", "kernel_id": "90817"}, {"ref": "vigneshinfy/dummy", "kernel_id": "77773"}, {"ref": "joe62303/bag-of-apps-keras-11-08-16", "kernel_id": "91583"}, {"ref": "barca1990/a-linear-model-on-apps-and-labels", "kernel_id": "91229"}, {"ref": "kenliqi/notebook-6f718c901dc2f3ec4cb5", "kernel_id": "81761"}, {"ref": "kenliqi/notebook-e3483a2d2e5eeea2ca42", "kernel_id": "81758"}, {"ref": "kenliqi/demographic-prediction", "kernel_id": "81759"}, {"ref": "zonemercy/bag-of-apps-keras-11-08-16-no-val-moo-5", "kernel_id": "94398"}, {"ref": "zonemercy/a-linear-model-on-apps-and-labels", "kernel_id": "93573"}, {"ref": "drewlr/talking-data-overview", "kernel_id": "77548"}, {"ref": "drewlr/notebook-0ea6c00846dea792c037", "kernel_id": "77554"}, {"ref": "zhanli/without-events", "kernel_id": "93531"}, {"ref": "zhanli/keras-on-labels-and-brands", "kernel_id": "93145"}, {"ref": "zhanli/events-only", "kernel_id": "93199"}, {"ref": "zhanli/keras-on-app", "kernel_id": "93263"}, {"ref": "zhanli/notebook9dd7bf66fe", "kernel_id": "92803"}, {"ref": "fightclubzhou/a-linear-model-on-apps-and-labels", "kernel_id": "97291"}, {"ref": "kmlee1717/a-linear-model-on-apps-and-labels", "kernel_id": "92030"}, {"ref": "farshidr/first-notebook", "kernel_id": "78063"}, {"ref": "vagrantguy/a-linear-model-on-apps-and-labels", "kernel_id": "91702"}, {"ref": "madoliver/a-linear-model-on-apps-and-labels", "kernel_id": "98084"}, {"ref": "shrirangphadke/my-sandbox", "kernel_id": "78891"}, {"ref": "pangxin/notebook-1b8bf554003e535325fe", "kernel_id": "80632"}, {"ref": "tedferreira/notebookf7a9c33313", "kernel_id": "87280"}, {"ref": "tedferreira/notebook-5e22cdc88dd486d57dc7", "kernel_id": "80761"}, {"ref": "fimalyst/geolocation-visualisations", "kernel_id": "82754"}, {"ref": "fimalyst/notebook-0108f1413799c7842d3f", "kernel_id": "82757"}, {"ref": "sattvikc/datainspect", "kernel_id": "82627"}, {"ref": "sattvikc/notebook-7745881e545b61710310", "kernel_id": "82630"}, {"ref": "swchen0215/talkingdataxgb1", "kernel_id": "85956"}, {"ref": "swchen0215/notebook4b6b09d17e", "kernel_id": "85954"}, {"ref": "swchen0215/talkingdataxgb2", "kernel_id": "86115"}, {"ref": "swchen0215/talkingdatagb2", "kernel_id": "86117"}, {"ref": "swchen0215/talkingdataxgboost", "kernel_id": "85718"}, {"ref": "swchen0215/talkingdatatest", "kernel_id": "82353"}, {"ref": "swchen0215/notebook-40e41daa546aac6ec031", "kernel_id": "82357"}, {"ref": "swchen0215/notebook-cb5243017244666f962a", "kernel_id": "81906"}, {"ref": "swchen0215/notebook-0969c961fc126222f252", "kernel_id": "81907"}, {"ref": "swchen0215/notebook-78a0347ce2968fc19adf", "kernel_id": "81908"}, {"ref": "ashwinikmr/a-linear-model-on-apps-and-labels", "kernel_id": "90284"}, {"ref": "njohnston/notebook-58c84519b2806a158266", "kernel_id": "80609"}, {"ref": "mbyim0/talkingdata-script", "kernel_id": "87644"}, {"ref": "zfturbo/xgboost-simple-starter", "kernel_id": "77564"}, {"ref": "apurveyajnik/notebook-7b26fdfcb5825de76ee2", "kernel_id": "80563"}, {"ref": "sukhbinder/notebook-717bbeb1dc041f9a939d", "kernel_id": "82210"}, {"ref": "ygao87/a-linear-model-on-apps-and-labels", "kernel_id": "108161"}, {"ref": "rbfunctor/notebook-3d08311f3a60de5a9276", "kernel_id": "81636"}, {"ref": "rbfunctor/notebook-5fcc571b4415ac7ed697", "kernel_id": "81638"}, {"ref": "rbfunctor/notebook-2bcfa76390a3780fc640", "kernel_id": "81870"}, {"ref": "sunilvd/classification-test", "kernel_id": "87239"}, {"ref": "dozaemon/notebookbe1638c42b", "kernel_id": "93232"}, {"ref": "dozaemon/notebook-570dbb072ec324889e49", "kernel_id": "79436"}, {"ref": "memery44/a-linear-model-on-apps-and-labels", "kernel_id": "93207"}, {"ref": "rohansadale/more-enhancement-on-phonebrands-file", "kernel_id": "78418"}, {"ref": "rohansadale/notebook-8fa297b613842b6274fa", "kernel_id": "78449"}, {"ref": "rohansadale/trying-some-analysis", "kernel_id": "77940"}, {"ref": "zderev/notebook-07d73c3cd63c7d0bd2d8", "kernel_id": "78604"}, {"ref": "joyfolk/notebook-5c8ac391b6f7be0398ba", "kernel_id": "77849"}, {"ref": "ecow1338/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "91177"}, {"ref": "ecow1338/notebook-a9b287277aacc03608b0", "kernel_id": "82130"}, {"ref": "ecow1338/get-detail", "kernel_id": "78609"}, {"ref": "ecow1338/notebook-4a10a65fa82ec3214aef", "kernel_id": "78220"}, {"ref": "ecow1338/notebook-316929cd70ea78758be5", "kernel_id": "78405"}, {"ref": "ecow1338/notebook-fb191aa2a5a81591f049", "kernel_id": "78188"}, {"ref": "ecow1338/test-note", "kernel_id": "77712"}, {"ref": "ecow1338/notebook-04bcfb975e9153ab7d7d", "kernel_id": "77713"}, {"ref": "ecow1338/notebookbc54f4b77c", "kernel_id": "232110"}, {"ref": "augustusmyc/a-linear-model-on-apps-and-labels", "kernel_id": "98046"}, {"ref": "zihaoxu/brand-and-model-based-benchmarks", "kernel_id": "93895"}, {"ref": "zihaoxu/keras-on-labels-and-brands", "kernel_id": "87518"}, {"ref": "felipeantunes/a-linear-model-on-apps-and-labels", "kernel_id": "86384"}, {"ref": "wqchen/geolocation-visualisations", "kernel_id": "90913"}, {"ref": "hjartar/notebookab7a8edd18", "kernel_id": "90101"}, {"ref": "afokas08/a-linear-model-on-apps-and-labels", "kernel_id": "89862"}, {"ref": "pranaysahith/a-linear-model-on-apps-and-labels-d5de7ac8", "kernel_id": "101669"}, {"ref": "pranaysahith/a-linear-model-on-apps-and-labels", "kernel_id": "101008"}, {"ref": "zhangjuefei/zjf-talkingdata-test", "kernel_id": "117471"}, {"ref": "zhangjuefei/a-linear-model-on-apps-and-labels", "kernel_id": "117026"}, {"ref": "nbeuchat/notebook-1fc95e953459ba05fc89", "kernel_id": "77527"}, {"ref": "wilsonlym/only-for-test", "kernel_id": "79779"}, {"ref": "wilsonlym/notebook-3600c1e947636f5b2c3d", "kernel_id": "79780"}, {"ref": "wilsonlym/notebook-5bf6780d6d4aa5e29907", "kernel_id": "79781"}, {"ref": "wanglingdeemo/notebook-7b842f261297c1ec9cc4", "kernel_id": "85287"}, {"ref": "rangarajanm/notebook-c847b2a82cb1e73d74fb", "kernel_id": "77711"}, {"ref": "rangarajanm/notebook-38d599039d3abb5acfd8", "kernel_id": "77575"}, {"ref": "michalstepniewski/geolocation-visualisations", "kernel_id": "139804"}, {"ref": "atruin/notebookd5d1ed040e", "kernel_id": "85693"}, {"ref": "atruin/notebook7ffd326ff9", "kernel_id": "85638"}, {"ref": "atruin/brand-and-model-based-benchmarks", "kernel_id": "86501"}, {"ref": "xioliang/a-linear-model-on-apps-and-labels", "kernel_id": "103444"}, {"ref": "whijo2/notebookb19005b0f1", "kernel_id": "88300"}, {"ref": "whijo2/first-kaggle-notebook", "kernel_id": "88295"}, {"ref": "whijo2/notebook8293644fb8", "kernel_id": "88298"}, {"ref": "captainc/notebook-6bea6735b2805006e86f", "kernel_id": "82749"}, {"ref": "rteja1113/notebook1e92def8b2", "kernel_id": "89154"}, {"ref": "galeos9/brand-and-model-based-benchmarks", "kernel_id": "79837"}, {"ref": "galeos9/notebook-b138d2fd9405dff6cd1e", "kernel_id": "79843"}, {"ref": "nolita/notebook-37ec095c9890775eb1c8", "kernel_id": "77941"}, {"ref": "takeshichka/a-linear-model-on-apps-and-labels", "kernel_id": "86225"}, {"ref": "takeshichka/xgboost-in-r-2-27217-my", "kernel_id": "82375"}, {"ref": "zhenhou/notebook-193cbb81b1fa718d1607", "kernel_id": "77673"}, {"ref": "nachocarracedo/categorizing-labels", "kernel_id": "88314"}, {"ref": "arjoonn/notebook-8629daabb4a5fb5a6e65", "kernel_id": "77477"}, {"ref": "arjoonn/the-one-table", "kernel_id": "77478"}, {"ref": "lrlthink/a-linear-model-on-apps-and-labels", "kernel_id": "86186"}, {"ref": "altus88/notebook-b5ad0ad7e39a38e6f27a", "kernel_id": "84698"}, {"ref": "vaibhavkumbhar4/categorizing-labels", "kernel_id": "84671"}, {"ref": "satendrakumar/a-linear-model-on-apps-and-labels", "kernel_id": "88930"}, {"ref": "prudhviraj12/notebook-4b9425f9d00d8938c476", "kernel_id": "82168"}, {"ref": "sunglasses1011/brand-and-model-based-benchmarks", "kernel_id": "89471"}, {"ref": "dollardollar/app-usage-by-age-and-gender", "kernel_id": "79451"}, {"ref": "dollardollar/notebook-c8d272b8dbcf94254eac", "kernel_id": "79454"}, {"ref": "dollardollar/notebook-277b331f01d640894b7a", "kernel_id": "79458"}, {"ref": "dollardollar/notebook-e54a51b61fac0411cda0", "kernel_id": "79456"}, {"ref": "dollardollar/notebook-862795f9154c2147cc64", "kernel_id": "79200"}, {"ref": "dollardollar/notebook-7d3134d10102edb28426", "kernel_id": "79201"}, {"ref": "dollardollar/notebook-ec0361b2eda6ddd325a4", "kernel_id": "84704"}, {"ref": "dollardollar/xgb-with-class-probabilities", "kernel_id": "84700"}, {"ref": "dollardollar/notebook-788c1772aa97c702671b", "kernel_id": "84718"}, {"ref": "dollardollar/notebook-2ccfe0c41cbbae5d8c5e", "kernel_id": "84719"}, {"ref": "dollardollar/notebook-34a29d0fe30802bdda9b", "kernel_id": "84706"}, {"ref": "dollardollar/notebook-ed57eac05ef07638666d", "kernel_id": "84707"}, {"ref": "dollardollar/who-s-active-on-friday-night", "kernel_id": "88757"}, {"ref": "dollardollar/so-late-so-soon-age-vs-event-times", "kernel_id": "88758"}, {"ref": "dollardollar/bag-of-app-id-python-2-27392", "kernel_id": "90302"}, {"ref": "chunhsienhsu/notebook-a791571588cc629dca2c", "kernel_id": "77636"}, {"ref": "mrisdal/voronoi-diagrams-locations-by-brand", "kernel_id": "78790"}, {"ref": "abhisheksrathore/trial", "kernel_id": "77714"}, {"ref": "yunxiao/notebook-ed80581cb022e66268f6", "kernel_id": "82344"}, {"ref": "yunxiao/notebook-84f8465f5e09e2ab1c60", "kernel_id": "82347"}, {"ref": "yunxiao/notebook-66b8734c51e741b5a373", "kernel_id": "82348"}, {"ref": "yunxiao/notebook-b60edeefa6d28ea489db", "kernel_id": "84484"}, {"ref": "yunxiao/notebook-36cad67d154c50a084c1", "kernel_id": "84485"}, {"ref": "yunxiao/talking-data", "kernel_id": "84486"}, {"ref": "yunxiao/notebook-7c8a259d9a29e1482985", "kernel_id": "84495"}, {"ref": "yunxiao/notebook-d9f430d8847815ad85d2", "kernel_id": "84496"}, {"ref": "yunxiao/brand-and-model-based-benchmarks", "kernel_id": "84492"}, {"ref": "buzfifer/notebook-b4a723e19690086fcea4", "kernel_id": "78638"}, {"ref": "beyondbeneath/geolocation-visualisations", "kernel_id": "77764"}, {"ref": "beyondbeneath/geolocation-heatmap", "kernel_id": "78150"}, {"ref": "geilerloui/project-mobile-phone", "kernel_id": "80041"}, {"ref": "joshgreen/notebook-dcc194eac4df89230946", "kernel_id": "78020"}, {"ref": "joshgreen/initial", "kernel_id": "78021"}, {"ref": "taylo5jm/notebook-78050bce3f1a8e4e35ab", "kernel_id": "84781"}, {"ref": "drsunilpatil/xgboost-v11", "kernel_id": "93236"}, {"ref": "drsunilpatil/a-linear-model-on-apps-and-labels", "kernel_id": "92363"}, {"ref": "drsunilpatil/a-linear-model-on-apps-and-labels-7739a2cf", "kernel_id": "92408"}, {"ref": "pmiori/geolocation-visualisations", "kernel_id": "176172"}, {"ref": "timgasser/notebook61cb6e8c74", "kernel_id": "86980"}, {"ref": "timgasser/notebookb8a11444e6", "kernel_id": "89411"}, {"ref": "austincap/determining-demographics-from-app-labels", "kernel_id": "92881"}, {"ref": "austincap/notebook234f348fa7", "kernel_id": "92807"}, {"ref": "austincap/notebook483099c292", "kernel_id": "91862"}, {"ref": "aguerrera/the-one-table", "kernel_id": "84848"}, {"ref": "aguerrera/adrian-td-starter", "kernel_id": "82728"}, {"ref": "kothawdaegs/geolocation-visualisations", "kernel_id": "84359"}, {"ref": "anokas/gps-movement-map", "kernel_id": "84995"}, {"ref": "anokas/a-linear-model-on-apps-and-labels-404e622f", "kernel_id": "86705"}, {"ref": "anokas/a-linear-model-on-apps-and-labels-221e80bd", "kernel_id": "86706"}, {"ref": "anokas/sparse-xgboost-starter-2-26857", "kernel_id": "86684"}, {"ref": "anokas/notebook403a68cd3f", "kernel_id": "86682"}, {"ref": "anokas/a-linear-model-on-apps-and-labels", "kernel_id": "86308"}, {"ref": "anokas/nnet11", "kernel_id": "87761"}, {"ref": "anokas/notebook-714e77bc83ad83ca46d0", "kernel_id": "77471"}, {"ref": "anokas/notebook-2924aadd667e4a8b3d4c", "kernel_id": "77472"}, {"ref": "anokas/notebook-597bae70088952f6c388", "kernel_id": "77473"}, {"ref": "anokas/data-exploration", "kernel_id": "77474"}, {"ref": "anokas/beat-the-benchmark-2-42107", "kernel_id": "77468"}, {"ref": "anokas/exploring-device-id", "kernel_id": "78164"}, {"ref": "anokas/notebook9fe9c65f61", "kernel_id": "94339"}, {"ref": "ldontlt/a-linear-model-on-apps-and-labels", "kernel_id": "86574"}, {"ref": "ldontlt/geolocation-visualisations", "kernel_id": "81450"}, {"ref": "dbykovsky/notebook-fbec8f5a05ec1e676539", "kernel_id": "77666"}, {"ref": "evanwang1028/a-linear-model-on-apps-and-labels", "kernel_id": "87441"}, {"ref": "evanwang1028/a-linear-model-on-apps-and-labels-5778aa22", "kernel_id": "87444"}, {"ref": "evanwang1028/a-linear-model-on-apps-and-labels-0f6c121e", "kernel_id": "87445"}, {"ref": "askawu/a-linear-model-on-apps-and-labels-e16f3cef", "kernel_id": "87203"}, {"ref": "askawu/fork-of-a-linear-model-on-apps-and-labels-e16f3cef", "kernel_id": "87220"}, {"ref": "askawu/a-linear-model-on-apps-and-labels", "kernel_id": "87116"}, {"ref": "askawu/bag-of-app", "kernel_id": "85579"}, {"ref": "askawu/demographic", "kernel_id": "85450"}, {"ref": "askawu/brand-and-model-based-benchmarks", "kernel_id": "85448"}, {"ref": "askawu/notebook-741a310fd6e733579cdb", "kernel_id": "85456"}, {"ref": "askawu/testt", "kernel_id": "85457"}, {"ref": "askawu/notebook-1a0555f3f8c7fb40675d", "kernel_id": "85522"}, {"ref": "askawu/notebook-ab2a455f01907b944960", "kernel_id": "85523"}, {"ref": "askawu/notebook-9d6d3b2b1776a0fa5e2a", "kernel_id": "85518"}, {"ref": "askawu/notebook-5a9a980f20fc31218bf4", "kernel_id": "85519"}, {"ref": "askawu/notebook-b3c6bc65de62a16aad12", "kernel_id": "85489"}, {"ref": "askawu/notebook-354b37e7066bd485e7f5", "kernel_id": "85491"}, {"ref": "askawu/notebook-17ce425f8f3e48384759", "kernel_id": "85492"}, {"ref": "askawu/notebook-ab3f32333a1146d4efed", "kernel_id": "85493"}, {"ref": "askawu/notebook-03ff1669caa9b8ad378b", "kernel_id": "85494"}, {"ref": "askawu/bag-of-app-id-python-2-27392", "kernel_id": "85574"}, {"ref": "askawu/notebook-98856eceabda11ad0695", "kernel_id": "85576"}, {"ref": "askawu/notebook-0cd598d2682ff16b9826", "kernel_id": "85577"}, {"ref": "askawu/notebook-924dd6f09a65f17cc628", "kernel_id": "85535"}, {"ref": "askawu/notebook-54252171277a82e36fcb", "kernel_id": "85532"}, {"ref": "askawu/geolocation-visualisations", "kernel_id": "85799"}, {"ref": "askawu/geolocation-visualisations-9d049376", "kernel_id": "85800"}, {"ref": "askawu/geolocation-visualisations-353197a0", "kernel_id": "85801"}, {"ref": "askawu/geolocation-visualisations-17b4a88a", "kernel_id": "85802"}, {"ref": "askawu/brand-and-model-based-benchmarks-ef1d90ed", "kernel_id": "85872"}, {"ref": "madmaxliu/brand-and-model-based-benchmarks", "kernel_id": "93482"}, {"ref": "galoshri/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "90615"}, {"ref": "yujiamiao/notebook4e309a410b", "kernel_id": "126411"}, {"ref": "puneetsinha/a-linear-model-on-apps-and-labels", "kernel_id": "101863"}, {"ref": "greymatter8654/simple-data-overview", "kernel_id": "77669"}, {"ref": "greymatter8654/notebook-c0b1c528b44c5431aa72", "kernel_id": "77665"}, {"ref": "hannibunny/notebookbaba1640cb", "kernel_id": "99047"}, {"ref": "hannibunny/a-linear-model-on-apps-and-labels", "kernel_id": "100857"}, {"ref": "hannibunny/brand-and-model-based-benchmarks", "kernel_id": "101642"}, {"ref": "hannibunny/notebook-fc7295a8aeabf016d35c", "kernel_id": "79009"}, {"ref": "riazfidahusein/notebook5b453a459a", "kernel_id": "90200"}, {"ref": "hemanthappala/talkingdata-2nd-script", "kernel_id": "78534"}, {"ref": "han4wluc/notebook2dbf3717ce", "kernel_id": "99767"}, {"ref": "jcoolin8s/a-linear-model-on-apps-and-labels", "kernel_id": "92933"}, {"ref": "najibmahjoubi/notebook-afbcce0660ebe55f8c7a", "kernel_id": "81061"}, {"ref": "najibmahjoubi/notebook-6cac0f4cd9ae2dec9fa0", "kernel_id": "81274"}, {"ref": "najibmahjoubi/notebook-ff7486edcc62cf9f6acf", "kernel_id": "81246"}, {"ref": "najibmahjoubi/notebook-70296b5d7206cbc1a223", "kernel_id": "81223"}, {"ref": "sunghun/notebook-a1fddea486251209d056", "kernel_id": "78198"}, {"ref": "vodkabuaa/notebook-32864d49dea4853d5e63", "kernel_id": "84541"}, {"ref": "vodkabuaa/notebook-8af2e3d8657515b635d4", "kernel_id": "84535"}, {"ref": "vodkabuaa/notebook-f61849786a85debd8615", "kernel_id": "84545"}, {"ref": "vodkabuaa/my-first-script", "kernel_id": "84546"}, {"ref": "vodkabuaa/notebook-756a984035dffc0c3efc", "kernel_id": "84550"}, {"ref": "vodkabuaa/notebook-37c3bd935260423989ea", "kernel_id": "84588"}, {"ref": "vodkabuaa/notebook-abd9d9e4d8c89d533802", "kernel_id": "84583"}, {"ref": "vodkabuaa/notebook-17cab99ae74148a3a131", "kernel_id": "84585"}, {"ref": "vodkabuaa/notebook-7e0283482a887fb3e5fa", "kernel_id": "81446"}, {"ref": "vodkabuaa/notebook-69933c2271294ad7dd71", "kernel_id": "81459"}, {"ref": "meenakshilakra/notebookf5034fd235", "kernel_id": "93233"}, {"ref": "luckygemini/notebooka8edad0c0a", "kernel_id": "105186"}, {"ref": "rickyall/notebook3b047a3b7a", "kernel_id": "92993"}, {"ref": "laurae2/app-word-cloud", "kernel_id": "78673"}, {"ref": "laurae2/a-linear-model-on-apps-and-labels", "kernel_id": "92321"}, {"ref": "laurae2/micahel-maguire-s-2-25", "kernel_id": "93586"}, {"ref": "ma350365879/bag-of-apps-keras-11-08-16", "kernel_id": "88335"}, {"ref": "ma350365879/keras-on-labels-and-brands", "kernel_id": "87622"}, {"ref": "niningxi/notebook-74ae3ceb5fdca9f51db8", "kernel_id": "85123"}, {"ref": "niningxi/notebook-2ab3a86d078452ba246f", "kernel_id": "85117"}, {"ref": "niningxi/notebook-2b67f2437bf6543cfb5b", "kernel_id": "85118"}, {"ref": "niningxi/notebook-487b2ca733cf22f76766", "kernel_id": "85119"}, {"ref": "niningxi/notebook-31d715ab4cab0485bc06", "kernel_id": "85120"}, {"ref": "niningxi/notebook-f270d943d619bbe2d6b3", "kernel_id": "84799"}, {"ref": "niningxi/test-niningxir", "kernel_id": "84800"}, {"ref": "niningxi/test-ni", "kernel_id": "84783"}, {"ref": "manojsukhavasi/notebook-3983293405b4116c42de", "kernel_id": "80436"}, {"ref": "eredxiii/a-linear-model-on-apps-and-labels", "kernel_id": "94096"}, {"ref": "tinosibanda/notebook-f952b31a5f8c579b056d", "kernel_id": "79251"}, {"ref": "tinosibanda/notebook-9aa827bfb30badf5f76c", "kernel_id": "79265"}, {"ref": "tinosibanda/notebook-45b9d52c264aaa66f54f", "kernel_id": "79257"}, {"ref": "aagundez/keras-test", "kernel_id": "85070"}, {"ref": "aagundez/notebook-a9ebc61e7e25c450e1a4", "kernel_id": "81428"}, {"ref": "aagundez/notebook-9c121a239d39a9ac31d8", "kernel_id": "81359"}, {"ref": "aagundez/talk-talk", "kernel_id": "81167"}, {"ref": "aagundez/notebook-8d6ad72ad3775b2769eb", "kernel_id": "81174"}, {"ref": "aagundez/notebook-44ab9cd0385907f52025", "kernel_id": "81175"}, {"ref": "aagundez/talk-talk-turbo", "kernel_id": "81176"}, {"ref": "motoitanigaki/notebook-0ffecf63bcda731e09d9", "kernel_id": "79638"}, {"ref": "isaacmoore7/bag-of-app-id-python-2-27392", "kernel_id": "82291"}, {"ref": "isaacmoore7/random-forest-classifier-adapted", "kernel_id": "82615"}, {"ref": "yuxuan93/notebook-16df12dc52831e2b646d", "kernel_id": "84801"}, {"ref": "luenebus/user-portraits", "kernel_id": "93817"}, {"ref": "luenebus/brand-and-model-based-benchmarks", "kernel_id": "93826"}, {"ref": "luenebus/geolocation-visualisations", "kernel_id": "93578"}, {"ref": "luenebus/notebookb5e7aaf76c", "kernel_id": "92985"}, {"ref": "adarshs1/notebook-6d106c6e0792e1123dcb", "kernel_id": "81985"}, {"ref": "adarshs1/notebook-d42925b8a944113067ed", "kernel_id": "85453"}, {"ref": "adarshs1/notebook782508ab75", "kernel_id": "95858"}, {"ref": "lishan/nnet-keras-10", "kernel_id": "87679"}, {"ref": "lishan/notebook-e48777da267978073aee", "kernel_id": "79532"}, {"ref": "lishan/notebook-a84aaf4725950808d51c", "kernel_id": "77581"}, {"ref": "lishan/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "88770"}, {"ref": "saziam/notebook-5b4c2763c565349a0d33", "kernel_id": "77539"}, {"ref": "mmrosenb/talkingdata-eda", "kernel_id": "77690"}, {"ref": "aakashnain/dataprep", "kernel_id": "83903"}, {"ref": "nopium/brand-and-model-based-benchmarks", "kernel_id": "93380"}, {"ref": "xfl1991/geolocation-visualisations", "kernel_id": "86123"}, {"ref": "liuzhenping/bag-of-apps-keras-11-08-16-no-val-moo-5", "kernel_id": "94302"}, {"ref": "liuzhenping/bag-of-apps-keras-11-08-16", "kernel_id": "88622"}, {"ref": "liuzhenping/notebook7ef3bbd5c7", "kernel_id": "88838"}, {"ref": "liuzhenping/test42", "kernel_id": "88840"}, {"ref": "liuzhenping/mad-0720-1246", "kernel_id": "89788"}, {"ref": "cerdgio/the-one-table", "kernel_id": "78322"}, {"ref": "tngodup/talkingdata-visulization", "kernel_id": "78410"}, {"ref": "luokai/brand-and-model-based-benchmarks-90851231", "kernel_id": "90938"}, {"ref": "luokai/brand-and-model-based-benchmarks", "kernel_id": "90044"}, {"ref": "luokai/geolocation-visualisations", "kernel_id": "90025"}, {"ref": "sagar35/notebook6c09334970", "kernel_id": "89847"}, {"ref": "sunlchk/brand-and-model-based-benchmarks", "kernel_id": "85650"}, {"ref": "option12/the-one-table", "kernel_id": "88106"}, {"ref": "option12/user-portraits", "kernel_id": "88089"}, {"ref": "gpvd28/geolocation-visualisations", "kernel_id": "81604"}, {"ref": "gpvd28/notebook-58ed0cd584a8c2cd71c4", "kernel_id": "81606"}, {"ref": "rafaelmm/notebook-55466b0b31b5dbc46cf8", "kernel_id": "78037"}, {"ref": "rafaelmm/quick-look-at-the-data", "kernel_id": "78025"}, {"ref": "tilii7/xgboost-simple-starter-more-features", "kernel_id": "77963"}, {"ref": "tilii7/bayesian-optimization-xgboost-parameters", "kernel_id": "78483"}, {"ref": "tilii7/t-sne-visualization", "kernel_id": "78351"}, {"ref": "tilii7/low-ram-bag-of-apps-sparse", "kernel_id": "81563"}, {"ref": "mellon/sklearn-ada", "kernel_id": "83855"}, {"ref": "mellon/talkingdata", "kernel_id": "83874"}, {"ref": "jroachel/notebook-b7b6c16ce3b800439fd7", "kernel_id": "82779"}, {"ref": "jroachel/notebook-f2f0a6db087cd994dadd", "kernel_id": "80217"}, {"ref": "jroachel/notebook-d24cf7a2c4aced68156f", "kernel_id": "80218"}, {"ref": "hangshang/hang-talkdata", "kernel_id": "78053"}, {"ref": "klepacz/notebook-69e81f107b67fabf6f47", "kernel_id": "78334"}, {"ref": "klepacz/notebook-3b3287f7c50b49d0fdfc", "kernel_id": "78516"}, {"ref": "klepacz/notebook-2bc3e7b285271081af93", "kernel_id": "78549"}, {"ref": "klepacz/notebook-1ebb0806f716d9963801", "kernel_id": "77946"}, {"ref": "klepacz/firsttry", "kernel_id": "77947"}, {"ref": "fengari/notebook-81592201f840b39d9b48", "kernel_id": "78776"}, {"ref": "fengari/brand-and-model-based-benchmarks", "kernel_id": "83873"}, {"ref": "vinodkumarn/a-linear-model-on-apps-and-labels", "kernel_id": "89906"}, {"ref": "nareshvemula/bag-of-apps", "kernel_id": "80199"}, {"ref": "nareshvemula/a-linear-model-on-apps-and-labels-79ade0a1", "kernel_id": "86367"}, {"ref": "nareshvemula/a-linear-model-on-apps-and-labels", "kernel_id": "86368"}, {"ref": "karengreen/talking-data", "kernel_id": "118521"}, {"ref": "adamconverse/notebook8c837b2775", "kernel_id": "89567"}, {"ref": "hiteck/notebookb349709588", "kernel_id": "87348"}, {"ref": "jihyeseo/mobile-demo-eda", "kernel_id": "958327"}, {"ref": "faisalahmed0086/brand-and-model-based-benchmarks", "kernel_id": "87228"}, {"ref": "yuyanglao/brand-and-model-based-benchmarks", "kernel_id": "88664"}, {"ref": "yuyanglao/brand-and-model-based-benchmarks-73df4229", "kernel_id": "88665"}, {"ref": "yuyanglao/geolocation-visualisations", "kernel_id": "88666"}, {"ref": "cdr000/talkingdata-v1-1", "kernel_id": "84332"}, {"ref": "einsqiang/test-delete", "kernel_id": "84617"}, {"ref": "dmanojbabu/eda-talkingdata", "kernel_id": "88284"}, {"ref": "dmanojbabu/a-linear-model-on-apps-and-labels", "kernel_id": "91901"}, {"ref": "dmanojbabu/notebook13f1188afd", "kernel_id": "93603"}, {"ref": "yogarjun77/notebook-f513977ce01c406ea8d3", "kernel_id": "82366"}, {"ref": "berdore/heatmap-of-event-times-for-a-device", "kernel_id": "80016"}, {"ref": "avanrusselt/notebook-68f3ecf9ba0e9db6923c", "kernel_id": "82115"}, {"ref": "stanlee321/geolocation-visualisations", "kernel_id": "77901"}, {"ref": "shahnawazakhtar/timestamp-transformation-features-generation", "kernel_id": "89627"}, {"ref": "shahnawazakhtar/timestamp-tran", "kernel_id": "88823"}, {"ref": "shahnawazakhtar/using-features-from-label-categories-csv", "kernel_id": "91473"}, {"ref": "shahnawazakhtar/bag-of-apps-keras-11-08-16", "kernel_id": "88076"}, {"ref": "bijanf/notebook-6672dd0c33770e990973", "kernel_id": "82518"}, {"ref": "lkx621/notebook-9e39417ab6fa2f5345e6", "kernel_id": "83868"}, {"ref": "lkx621/learning-pandas-follow-by-experts-i", "kernel_id": "83869"}, {"ref": "igauty/brand-and-model-based-benchmarks", "kernel_id": "85994"}, {"ref": "vanine6/a-linear-model-on-apps-and-labels", "kernel_id": "91777"}, {"ref": "vanine6/fork-of-a-linear-model-on-apps-and-labels", "kernel_id": "91836"}, {"ref": "vanine6/notebook9cbc632d47", "kernel_id": "91870"}, {"ref": "hamidahmadian69/notebook-f90fc3521cc102510fbe", "kernel_id": "84854"}, {"ref": "linhvannguyen/learning-pandas-follow-by-experts-i", "kernel_id": "82427"}, {"ref": "linhvannguyen/geolocation-visualisations", "kernel_id": "77923"}, {"ref": "shihaozhang/a-linear-model-on-apps-and-labels", "kernel_id": "90881"}, {"ref": "shihaozhang/a-linear-model-on-apps-and-labels-e5b59287", "kernel_id": "92430"}, {"ref": "shihaozhang/a-linear-model-on-apps-and-labels-e1f71bc9", "kernel_id": "92453"}, {"ref": "shihaozhang/notebook2ab9f771e0", "kernel_id": "92172"}, {"ref": "shihaozhang/sparse-xgboost-starter-2-26857", "kernel_id": "92173"}, {"ref": "kevinpalm/notebook-e8ff45f8698f572e1e5d", "kernel_id": "79222"}, {"ref": "kevinpalm/notebook-555b0a8eb08e35c9c930", "kernel_id": "79223"}, {"ref": "elleryleung/notebook-1f92249d2afc29652ecd", "kernel_id": "77646"}, {"ref": "elleryleung/notebook-50647ae1cb17e2e1ebe1", "kernel_id": "77647"}, {"ref": "elleryleung/notebook-08631109946eda2a6e68", "kernel_id": "78077"}, {"ref": "elleryleung/notebook-d22ede804345af1f4b8b", "kernel_id": "78078"}, {"ref": "elleryleung/notebook-d17e5ab3d0d29038bfa2", "kernel_id": "78104"}, {"ref": "elleryleung/talkingdata-analysis-and-prediction", "kernel_id": "78069"}, {"ref": "elleryleung/notebook-11b2347c435fc6f922f1", "kernel_id": "78072"}, {"ref": "elleryleung/notebook-2d3fae4a1cf56ad9dc7a", "kernel_id": "78477"}, {"ref": "t631584970/hahaa", "kernel_id": "79147"}, {"ref": "t631584970/notebook-2e5b0e5666827ada5d75", "kernel_id": "79149"}, {"ref": "t631584970/notebook-b34d437293b676e6c8c6", "kernel_id": "79962"}, {"ref": "t631584970/byron", "kernel_id": "79964"}, {"ref": "shenc3/a-linear-model-on-apps-and-labels", "kernel_id": "88225"}, {"ref": "xlinsist/geolocation-visualisations-971dab7c", "kernel_id": "92998"}, {"ref": "xlinsist/geolocation-visualisations", "kernel_id": "92989"}, {"ref": "yezhenwei/notebook4db1d29c4e", "kernel_id": "87204"}, {"ref": "yezhenwei/notebook368483146c", "kernel_id": "87209"}, {"ref": "mbontrager/notebook-75843e6a22a86c35c965", "kernel_id": "78988"}, {"ref": "mbontrager/notebook-7806f33a9b52aedc7f5d", "kernel_id": "78989"}, {"ref": "nhargan/geolocation-visualisations", "kernel_id": "79701"}, {"ref": "yermouth/notebook-a797414dcc438e18c882", "kernel_id": "77648"}, {"ref": "yermouth/notebook-4435cdcd3c4b0c85ab91", "kernel_id": "77649"}, {"ref": "yermouth/notebook-05587ff81dfb11a44e98", "kernel_id": "77651"}, {"ref": "yermouth/notebook-9c4dfc8531f942c4d7e3", "kernel_id": "77638"}, {"ref": "yermouth/the-one-table", "kernel_id": "77640"}, {"ref": "yermouth/notebook-af5e2a48e323533b7ac7", "kernel_id": "77643"}, {"ref": "supeng/brand-and-model-based-benchmarks-ac2abb0a", "kernel_id": "88396"}, {"ref": "supeng/fork-of-brand-and-model-based-benchmarks-ac2abb0a", "kernel_id": "88397"}, {"ref": "supeng/geolocation-visualisations", "kernel_id": "88391"}, {"ref": "supeng/brand-and-model-based-benchmarks", "kernel_id": "88392"}, {"ref": "supeng/brand-and-model-based-benchmarks-71acc829", "kernel_id": "88411"}, {"ref": "yashojoshi/notebook56b44b36b8", "kernel_id": "100633"}, {"ref": "yashojoshi/notebook9606ba5ed9", "kernel_id": "99854"}, {"ref": "vibhug/pyscrip-for-talking-data", "kernel_id": "91733"}, {"ref": "vibhug/working", "kernel_id": "91002"}, {"ref": "vibhug/low-ram-bag-of-apps", "kernel_id": "90724"}, {"ref": "om1042/notebook-e2ddcba8582b197b81a6", "kernel_id": "81751"}, {"ref": "om1042/categorizing-labels", "kernel_id": "81736"}, {"ref": "sharkgo/a-linear-model-on-apps-and-labels", "kernel_id": "86386"}, {"ref": "chenran2016/notebook0267e0a68e", "kernel_id": "91584"}, {"ref": "chenran2016/the-battle-of-smart-phones", "kernel_id": "91587"}, {"ref": "hiraku/a-linear-model-on-apps-and-labels", "kernel_id": "90462"}, {"ref": "doublefox/a-linear-model-on-apps-and-labels", "kernel_id": "91060"}, {"ref": "doublefox/brand-and-model-based-benchmarks", "kernel_id": "90995"}, {"ref": "doublefox/user-portraits", "kernel_id": "91092"}, {"ref": "xiaoml/bag-of-app-id-python-2-27392", "kernel_id": "81776"}, {"ref": "xiaoml/categorizing-labels", "kernel_id": "80040"}, {"ref": "xiaoml/low-ram-bag-of-apps-python", "kernel_id": "79566"}, {"ref": "wyldbj/a-linear-model-on-apps-and-labels", "kernel_id": "89460"}, {"ref": "miningjerry/brand-and-model-based-benchmarks", "kernel_id": "89488"}, {"ref": "miningjerry/visualizations", "kernel_id": "142751"}, {"ref": "ybyap123/notebook-132831e83ac4b03cf012", "kernel_id": "85609"}, {"ref": "zllsczjz/brand-and-model-based-benchmarks", "kernel_id": "79707"}, {"ref": "wangjy1112/notebook-c791c7787a77e8ade454", "kernel_id": "79180"}, {"ref": "wangjy1112/first-test-with-xgboost", "kernel_id": "77705"}, {"ref": "wangjy1112/notebook-5e2c7a6478b574038274", "kernel_id": "78158"}, {"ref": "wangjy1112/notebook-80fb7a3cc3d507e06f95", "kernel_id": "78136"}, {"ref": "wangjy1112/geolocation-visualisation-test", "kernel_id": "78039"}, {"ref": "wangjy1112/notebook-a465b6e839cd18b9356d", "kernel_id": "78028"}, {"ref": "daemonix/geolocation-visualisations", "kernel_id": "78720"}, {"ref": "karthikdosapati29/talkingdata-eda", "kernel_id": "86887"}, {"ref": "parinker/notebook-2fadfb5a8e73cc69d0ae", "kernel_id": "77568"}, {"ref": "parinker/playing-with-data", "kernel_id": "77565"}, {"ref": "malamute/notebook-427d1efd66b8ede615a6", "kernel_id": "80031"}, {"ref": "hlchen/notebook9cde276926", "kernel_id": "144593"}, {"ref": "ziheli/geolocation-visualisations", "kernel_id": "108228"}, {"ref": "vecxoz/20160715", "kernel_id": "79024"}, {"ref": "eilles/geolocation-visualisations", "kernel_id": "82598"}, {"ref": "cnheider/brand-and-model-based-benchmarks", "kernel_id": "93043"}, {"ref": "cnheider/geolocation-visualisations", "kernel_id": "93038"}, {"ref": "cnheider/geolocation-visualisations-880c4826", "kernel_id": "137518"}, {"ref": "journeycheng/notebook-4f9be27b895449c6954f", "kernel_id": "81529"}, {"ref": "journeycheng/script-r", "kernel_id": "81530"}, {"ref": "journeycheng/notebook-cf7bcad2fa6ffe5ea011", "kernel_id": "81531"}, {"ref": "assafler/bag-of-app-id-python-2-27392", "kernel_id": "193191"}, {"ref": "assafler/bag-of-apps-keras-11-08-16", "kernel_id": "198347"}, {"ref": "ssk1994/notebook-65fcd6bb824354f67019", "kernel_id": "77532"}, {"ref": "ssk1994/notebook-87e7dae7b654e83c3bea", "kernel_id": "77529"}, {"ref": "ssk1994/notebook-42a28794c9159cbcfeb0", "kernel_id": "77790"}, {"ref": "ssk1994/notebook-a2671699f2063b7a1132", "kernel_id": "78944"}, {"ref": "ssk1994/notebook-2e031739eeeaf1080686", "kernel_id": "78941"}, {"ref": "ssk1994/notebook-1e83c248bc2534fceb7c", "kernel_id": "78931"}, {"ref": "ssk1994/notebook-8c9c2e2688a7787c2e0c", "kernel_id": "78693"}, {"ref": "ssk1994/notebook-d7c77354135a5eacd8a2", "kernel_id": "78674"}, {"ref": "ssk1994/notebook-9f6224c1885b3b19cde2", "kernel_id": "78625"}, {"ref": "ssk1994/talkingdata", "kernel_id": "78505"}, {"ref": "ssk1994/notebook-1458a9a1bf4bb3a21bd5", "kernel_id": "78506"}, {"ref": "ssk1994/notebook-35a7786bf6a5957213ef", "kernel_id": "78518"}, {"ref": "ssk1994/notebook-2329abc3dd2a75cdd8cb", "kernel_id": "78523"}, {"ref": "ssk1994/notebook-ee4e1f12609a3a47e370", "kernel_id": "78606"}, {"ref": "ssk1994/notebook-67d2730bbf591017b792", "kernel_id": "78587"}, {"ref": "ssk1994/notebook-c8d71f713a2375d86c9a", "kernel_id": "78588"}, {"ref": "ssk1994/notebook-5450cbeba4907c79b179", "kernel_id": "78278"}, {"ref": "ssk1994/notebook-5a46ab41c0c9e4d53638", "kernel_id": "78293"}, {"ref": "ssk1994/talkingdatamobile", "kernel_id": "81766"}, {"ref": "stanimman/try12", "kernel_id": "84158"}, {"ref": "stanimman/geolocation-visualisations", "kernel_id": "84859"}, {"ref": "stanimman/notebook-b110af957a33a2b74c00", "kernel_id": "84874"}, {"ref": "cheffyu/geolocation-visualisations", "kernel_id": "78593"}, {"ref": "cheffyu/time-zones", "kernel_id": "85143"}, {"ref": "cheffyu/notebook-f01134cccca69b3609e3", "kernel_id": "85156"}, {"ref": "cheffyu/brand-and-model-based-benchmarks-374551a2", "kernel_id": "86409"}, {"ref": "cheffyu/brand-and-model-based-benchmarks-0091c096", "kernel_id": "86571"}, {"ref": "cheffyu/more-enhancement-on-phonebrands-file", "kernel_id": "87222"}, {"ref": "cheffyu/notebook-1d9da11c49c965ec4be9", "kernel_id": "84165"}, {"ref": "cheffyu/notebook-ee7d109a625b73b580b9", "kernel_id": "84177"}, {"ref": "cheffyu/notebook-1f86c536fefc398ba1c0", "kernel_id": "84178"}, {"ref": "cheffyu/notebook-e7c8a91378b14e654f58", "kernel_id": "84179"}, {"ref": "cheffyu/notebook-e04ed3e73b0e9675f5f1", "kernel_id": "84180"}, {"ref": "cheffyu/brand-and-model-based-benchmarks", "kernel_id": "82014"}, {"ref": "cheffyu/notebook-5bfcb41281df3fef53b2", "kernel_id": "82015"}, {"ref": "cheffyu/notebook-a62399dcfe2e5bcb234c", "kernel_id": "82020"}, {"ref": "flora0420/improved-visualization-of-events-in-r", "kernel_id": "78433"}, {"ref": "flora0420/notebook-8dc4c8d981853b0e56e8", "kernel_id": "77944"}, {"ref": "flora0420/view-of-events-in-r", "kernel_id": "77945"}, {"ref": "darkkaggle/notebook-97c758750a8432aa4e40", "kernel_id": "78991"}, {"ref": "darkkaggle/notebook-f4cb1ad249b90ba09128", "kernel_id": "79820"}, {"ref": "darkkaggle/xgboost1", "kernel_id": "79810"}, {"ref": "indian89/brand-and-model-based-benchmarks", "kernel_id": "80866"}, {"ref": "indian89/notebook-88027d9c500cf9cbfe77", "kernel_id": "80867"}, {"ref": "fermatrox/notebook-dc7bdf60411152c2c492", "kernel_id": "78639"}, {"ref": "fermatrox/a-linear-model-on-apps-and-labels", "kernel_id": "101884"}, {"ref": "vincentsoh/brand-and-model-based-benchmarks", "kernel_id": "88874"}, {"ref": "vincentsoh/investigating-time-and-day-and-gender", "kernel_id": "88726"}, {"ref": "vincentsoh/who-s-active-on-friday-night", "kernel_id": "88727"}, {"ref": "vincentsoh/geolocation-visualisations", "kernel_id": "88723"}, {"ref": "vincentsoh/a-linear-model-on-apps-and-labels-b34795d6", "kernel_id": "88711"}, {"ref": "rdekou/a-linear-model-on-apps-and-labels-f76dc769", "kernel_id": "113711"}, {"ref": "rdekou/a-linear-model-on-apps-and-labels", "kernel_id": "113654"}, {"ref": "rdekou/geolocation-visualisations", "kernel_id": "113604"}, {"ref": "rdekou/notebook155038cb4f", "kernel_id": "170146"}, {"ref": "spadarian/test-1", "kernel_id": "82178"}, {"ref": "tonyliu/the-battle-of-smart-phones", "kernel_id": "77993"}, {"ref": "tonyliu/a-heatmap-of-apps", "kernel_id": "86110"}, {"ref": "wangyanwei/notebookd3d144c419", "kernel_id": "158824"}, {"ref": "wangyanwei/geolocation-visualisations", "kernel_id": "79662"}, {"ref": "wangyanwei/notebook-916a355d13128d6534b0", "kernel_id": "79664"}, {"ref": "stibbons/notebook-cf02e81de429be710a4b", "kernel_id": "77540"}, {"ref": "stibbons/notebook-ce7a58e8fca6472d81d8", "kernel_id": "77542"}, {"ref": "stibbons/notebook-ea7e5ad5adfd35ed8726", "kernel_id": "77543"}, {"ref": "stibbons/heading-input-files", "kernel_id": "77534"}, {"ref": "stibbons/notebook-eb5d04b363568d211cdd", "kernel_id": "77536"}, {"ref": "stibbons/notebook-8d850de6017216c5557d", "kernel_id": "77537"}, {"ref": "stibbons/getting-to-know-the-data", "kernel_id": "77538"}, {"ref": "neos2008/geolocation-visualisations", "kernel_id": "84082"}, {"ref": "neos2008/notebook-865b2530ffecaba5bf3c", "kernel_id": "84084"}, {"ref": "sanjulademel/talkingdata2", "kernel_id": "81275"}, {"ref": "vkbcad/learning-pandas-follow-by-experts-i", "kernel_id": "85589"}, {"ref": "vkbcad/brand-and-model-based-benchmarks", "kernel_id": "80334"}, {"ref": "haoshuai/notebookf8ecfd09bf", "kernel_id": "93393"}, {"ref": "haoshuai/bag-of-apps-keras-11-08-16", "kernel_id": "93394"}, {"ref": "haoshuai/notebooka17d5bd8c0", "kernel_id": "92926"}, {"ref": "gramce/notebook400da1b19a", "kernel_id": "87848"}, {"ref": "gramce/a-linear-model-on-apps-and-labels", "kernel_id": "87860"}, {"ref": "garvys/a-linear-model-on-apps-and-labels", "kernel_id": "92469"}, {"ref": "leihao/notebook-7c56236a52073b4877c2", "kernel_id": "81722"}, {"ref": "leihao/notebook-c4c0a4245ab778de438a", "kernel_id": "81666"}, {"ref": "alexjboyd/notebook5cc95d83f5", "kernel_id": "87123"}, {"ref": "liubieqian/notebook-a945b3bc4e1301a8ece4", "kernel_id": "81463"}, {"ref": "liubieqian/notebook-917719287672678e7d63", "kernel_id": "81465"}, {"ref": "liubieqian/notebook-1b57a0f98257b13fad15", "kernel_id": "77892"}, {"ref": "acerb95/a-linear-model-on-apps-and-labels", "kernel_id": "111076"}, {"ref": "edwarts/notebook-2154fd05527bb6b052e4", "kernel_id": "77806"}, {"ref": "edwarts/notebook-e2045b898244db38cdc6", "kernel_id": "78224"}, {"ref": "guijo0/first-try", "kernel_id": "79203"}, {"ref": "geonanayi/notebook-84780669298b65bee9be", "kernel_id": "78631"}, {"ref": "mattgordon82/geolocation-visualisations", "kernel_id": "86762"}, {"ref": "mattgordon82/notebooke91af3c44e", "kernel_id": "86766"}, {"ref": "zengyunaa/a-linear-model-on-apps-and-labels", "kernel_id": "99544"}, {"ref": "vargas/spatial-test", "kernel_id": "80333"}, {"ref": "szzexpoi/notebook-ba198b958560ad8e8ffb", "kernel_id": "80190"}, {"ref": "joostgp/notebook97fad99e7e", "kernel_id": "88344"}, {"ref": "joostgp/notebook9be3e5f6d1", "kernel_id": "88345"}, {"ref": "joostgp/notebook907a25a14d", "kernel_id": "88346"}, {"ref": "joostgp/categorizing-labels", "kernel_id": "81679"}, {"ref": "joostgp/categorizing-labels-e3f7defb", "kernel_id": "87800"}, {"ref": "joostgp/a-linear-model-on-apps-and-labels-41ba6cc7", "kernel_id": "86560"}, {"ref": "joostgp/a-linear-model-on-apps-and-labels", "kernel_id": "86502"}, {"ref": "joostgp/a-linear-model-on-apps-and-labels-9099d79d", "kernel_id": "86511"}, {"ref": "joostgp/notebook-7ab97f0a8d509d7a5aa7", "kernel_id": "79347"}, {"ref": "joostgp/notebook-db6412d801502457f1ea", "kernel_id": "79349"}, {"ref": "joostgp/notebook-545a937ff4d9f773d4e1", "kernel_id": "79293"}, {"ref": "joostgp/notebook-4649c3ac4c768b2216f6", "kernel_id": "79299"}, {"ref": "joostgp/notebook-e0fe020a2422ecf1a063", "kernel_id": "79300"}, {"ref": "joostgp/finding-features-for-events", "kernel_id": "79898"}, {"ref": "shinson/fork-of-geolocation-visualisations", "kernel_id": "90591"}, {"ref": "shinson/xgboost-simple-starter", "kernel_id": "90610"}, {"ref": "shinson/keras-cv10-with-bags5-wevents-alldata", "kernel_id": "96444"}, {"ref": "barryc/a-linear-model-on-apps-and-labels", "kernel_id": "92319"}, {"ref": "sadishradjefr/notebook-a616c5fb8a3d367adab3", "kernel_id": "77654"}, {"ref": "pyx123/bag-of-app-id-python-2-27392", "kernel_id": "86161"}, {"ref": "pyx123/notebook629aef35e2", "kernel_id": "86203"}, {"ref": "pyx123/a-linear-model-on-apps-and-labels", "kernel_id": "88019"}, {"ref": "pyx123/talkingdata-exploration", "kernel_id": "92122"}, {"ref": "pyx123/talkingdata-exploration-434a3373", "kernel_id": "92966"}, {"ref": "bastinrobin/exploring-talking-data", "kernel_id": "99392"}, {"ref": "zmoon123/notebook-43eb545157167d9e027a", "kernel_id": "78794"}, {"ref": "zmoon123/notebook-43dba4e0899e7f8eed20", "kernel_id": "78795"}, {"ref": "jason0/a-linear-model-on-apps-and-labels", "kernel_id": "128170"}, {"ref": "linguosen007/brand-and-model-based-benchmarks", "kernel_id": "85526"}, {"ref": "linguosen007/notebook5ebcea5f7c", "kernel_id": "85791"}, {"ref": "linguosen007/notebookeaa1c6967f", "kernel_id": "85787"}, {"ref": "nikhi264/geolocation-visualisations", "kernel_id": "92553"}, {"ref": "mikevdickson/notebooka3be0d8617", "kernel_id": "87183"}, {"ref": "mikevdickson/brand-and-model-based-benchmarks", "kernel_id": "87184"}, {"ref": "mikevdickson/brand-and-model-based-benchmarks-fork", "kernel_id": "87185"}, {"ref": "lusiliang93/notebook1aec95d816", "kernel_id": "86828"}, {"ref": "lusiliang93/version1", "kernel_id": "86776"}, {"ref": "shobhitbhatnagar1/geolocation-visualisations", "kernel_id": "77807"}, {"ref": "autoptr/notebook-3bc03198fd2b27d62d45", "kernel_id": "81242"}, {"ref": "autoptr/notebook-3dccd6ae92dd27d479c7", "kernel_id": "81534"}, {"ref": "autoptr/brand-and-model-based-benchmarks", "kernel_id": "81394"}, {"ref": "autoptr/notebook-790c0c4e3bd7962c4891", "kernel_id": "81401"}, {"ref": "autoptr/notebook-4b7a653b4c159c29a0b2", "kernel_id": "82185"}, {"ref": "autoptr/notebook-9ba6e0c10960a6b6a786", "kernel_id": "82186"}, {"ref": "autoptr/notebook-0f16167bd2b240bc7316", "kernel_id": "82202"}, {"ref": "autoptr/notebook-88f339faed285059ac84", "kernel_id": "82190"}, {"ref": "autoptr/learning-pandas-follow-by-experts-i", "kernel_id": "82175"}, {"ref": "autoptr/notebook-18d5f639a86e2a1774f9", "kernel_id": "84191"}, {"ref": "autoptr/notebook-16d893349f8d5edf7c22", "kernel_id": "84192"}, {"ref": "benizik/notebookadaad25bbe", "kernel_id": "87764"}, {"ref": "kzbigboss/2016-08-datasci450-take-2", "kernel_id": "88435"}, {"ref": "kzbigboss/2016-08-uw-datasci450-project", "kernel_id": "88338"}, {"ref": "kzbigboss/testtest", "kernel_id": "88860"}, {"ref": "dariamini/notebook871fb1e21e", "kernel_id": "122179"}, {"ref": "joewkaggle/aaaaa", "kernel_id": "131291"}, {"ref": "joewkaggle/notebook176a7a46e4", "kernel_id": "131294"}, {"ref": "mixflow/data-analysis", "kernel_id": "80119"}, {"ref": "alexandervovchenko/geolocation-visualisations", "kernel_id": "79442"}, {"ref": "jeffd23/app-label-category-distribution-analysis", "kernel_id": "81101"}, {"ref": "jnyryan/notebook-8869bc13be18aaede081", "kernel_id": "77530"}, {"ref": "jnyryan/notebook-40311ccad6bb8fb8805c", "kernel_id": "77528"}, {"ref": "jonathanbechtel/a-linear-model-on-apps-and-labels", "kernel_id": "93154"}, {"ref": "mukulbudania/getting-data", "kernel_id": "87574"}, {"ref": "greatpu11/notebook-5c3c105cebffbb04f413", "kernel_id": "81788"}, {"ref": "greatpu11/samplescript1", "kernel_id": "81789"}, {"ref": "presstofan/geolocation-visualisations", "kernel_id": "78284"}, {"ref": "davidjdiebold/david-s-notebook", "kernel_id": "87706"}, {"ref": "syuchang/notebook-a8ca14db8b09246aa1f7", "kernel_id": "84443"}, {"ref": "flowerowl/geolocation-visualisations-21dadc", "kernel_id": "184960"}, {"ref": "saurabhr92/notebook3fdd5a9845", "kernel_id": "91809"}, {"ref": "saurabhr92/notebook6607c94968", "kernel_id": "91972"}, {"ref": "luudactam/notebook148ee2d52e", "kernel_id": "200132"}, {"ref": "shashank12/notebook-b562979d5466ea708bbf", "kernel_id": "77924"}, {"ref": "codingsurfer/brand-and-model-based-benchmarks-c3f82408", "kernel_id": "86029"}, {"ref": "codingsurfer/brand-and-model-based-benchmarks", "kernel_id": "85778"}, {"ref": "anthonytyng/a-linear-model-on-apps-and-labels", "kernel_id": "95860"}, {"ref": "anthonytyng/a-linear-model-on-apps-and-labels-b5daf10b", "kernel_id": "95870"}, {"ref": "anthonytyng/brand-and-model-based-benchmarks", "kernel_id": "80564"}, {"ref": "larkin/a-linear-model-on-apps-and-labels", "kernel_id": "196968"}, {"ref": "ahallo/notebook-d2f80b0643e8a447bae5", "kernel_id": "77614"}, {"ref": "ahallo/notebook-53185edb3c68178f1445", "kernel_id": "77607"}, {"ref": "apmfifty/a-linear-model-on-apps-and-labels", "kernel_id": "107655"}, {"ref": "sglink/xgboost-simple-starter", "kernel_id": "77599"}, {"ref": "sglink/the-one-table", "kernel_id": "77626"}, {"ref": "blackarrow3542/brand-and-model-based-benchmarks", "kernel_id": "94199"}, {"ref": "wildaurora/categorizing-labels", "kernel_id": "81752"}, {"ref": "wildaurora/first-try", "kernel_id": "81862"}, {"ref": "wildaurora/brand-and-model-based-benchmarks", "kernel_id": "82005"}, {"ref": "wildaurora/first-try-on-it", "kernel_id": "82006"}, {"ref": "wildaurora/notebook-4803cbbe358c2c249c62", "kernel_id": "82007"}, {"ref": "wildaurora/notebook-27bf22e36b1912d9c12d", "kernel_id": "82021"}, {"ref": "flytosky/talking-data", "kernel_id": "93349"}, {"ref": "flytosky/a-linear-model-on-apps-and-labels", "kernel_id": "93596"}, {"ref": "mia1394/notebook-1af9cf2aadfc0c999bf9", "kernel_id": "78597"}, {"ref": "mia1394/notebook-9283c70616323dbe83a6", "kernel_id": "78602"}, {"ref": "mia1394/notebook-f7afa770147bcdd82b5d", "kernel_id": "78594"}, {"ref": "mia1394/notebook-da739c46ced2734e06e1", "kernel_id": "78590"}, {"ref": "mia1394/notebook-51efa3d962b32b8abd69", "kernel_id": "78591"}, {"ref": "mia1394/notebook-c1fb6b16442973e594b5", "kernel_id": "78592"}, {"ref": "mia1394/notebook-34c5db27e191c8efdba1", "kernel_id": "79948"}, {"ref": "mia1394/notebook-7974771a901620f1af67", "kernel_id": "79663"}, {"ref": "mia1394/kdproba", "kernel_id": "79669"}, {"ref": "mia1394/notebook-e1aa5e6d740b98f953da", "kernel_id": "79670"}, {"ref": "mia1394/kddddd", "kernel_id": "79671"}, {"ref": "mia1394/notebook-fa64d693631a3ad88da7", "kernel_id": "77819"}, {"ref": "mia1394/kd0712-1", "kernel_id": "77815"}, {"ref": "mia1394/notebook-db236c32cb1ef3a9a677", "kernel_id": "78186"}, {"ref": "mia1394/notebook-9fe2d4deb78471aadb16", "kernel_id": "78167"}, {"ref": "mia1394/notebook-d07c85deda91b63e33fe", "kernel_id": "85551"}, {"ref": "mia1394/kd0803", "kernel_id": "85544"}, {"ref": "mia1394/notebook-abbc9f85cc4201c9b10e", "kernel_id": "79982"}, {"ref": "mia1394/notebook-6b59082c6acdf6bf2df3", "kernel_id": "79986"}, {"ref": "yukeren/notebookacc68e3461", "kernel_id": "94307"}, {"ref": "kirmorozov/notebook-6e7d37fcd761125d3f4b", "kernel_id": "83999"}, {"ref": "kirmorozov/notebook-7b090beecb159433c608", "kernel_id": "84091"}, {"ref": "kirmorozov/notebook-20ceba575a4baae30efc", "kernel_id": "84663"}, {"ref": "kirmorozov/talking-data-sample", "kernel_id": "84657"}, {"ref": "yuefuzi/notebook184e39e2c2", "kernel_id": "91208"}, {"ref": "sugiantolauw/notebook1862fae643", "kernel_id": "88854"}, {"ref": "sugiantolauw/notebook-bbbf31c80d2d160ba7f8", "kernel_id": "78197"}, {"ref": "sugiantolauw/geolocation-visualisations", "kernel_id": "78191"}, {"ref": "sugiantolauw/a-linear-model-on-apps-and-labels", "kernel_id": "86334"}, {"ref": "enuinc/a-linear-model-on-apps-and-labels-14141752", "kernel_id": "87767"}, {"ref": "jambhekarneel/low-ram-bag-of-apps-python-2-7", "kernel_id": "80296"}, {"ref": "hemantkrgupta/notebook-98004ae12aac3e0d0c49", "kernel_id": "79987"}, {"ref": "hemantkrgupta/notebook-1b5b1ca03029a7b6d959", "kernel_id": "79992"}, {"ref": "hemantkrgupta/notebook-df4170f930d4289f9460", "kernel_id": "79994"}, {"ref": "ildiii05/random-1", "kernel_id": "85549"}, {"ref": "ildiii05/notebookb57996863d", "kernel_id": "87894"}, {"ref": "ildiii05/proba", "kernel_id": "77780"}, {"ref": "chasepeaslee/notebook-4c851c406fc1f931e055", "kernel_id": "84247"}, {"ref": "chasepeaslee/brand-and-model-based-benchmarks", "kernel_id": "84244"}, {"ref": "chasepeaslee/notebook-71783b52d9a101b61143", "kernel_id": "82297"}, {"ref": "cfalonso/notebook-dd24ee2fe5f1e7430f34", "kernel_id": "84033"}, {"ref": "nineteen/notebook18bd5d8a17", "kernel_id": "94756"}, {"ref": "angelmm/a-linear-model-on-apps-and-labels", "kernel_id": "87944"}, {"ref": "russwilliams/notebook-d2367561c7985df4c289", "kernel_id": "84649"}, {"ref": "russwilliams/who-s-active-on-friday-night", "kernel_id": "84506"}, {"ref": "russwilliams/investigating-time-and-day-and-gender", "kernel_id": "84474"}, {"ref": "russwilliams/time-zones", "kernel_id": "82641"}, {"ref": "russwilliams/notebook-335e7ad627644d5b57cb", "kernel_id": "82650"}, {"ref": "russwilliams/best-possible-score-2", "kernel_id": "88568"}, {"ref": "pyxide/geolocation-visualisations", "kernel_id": "114860"}, {"ref": "pyxide/a-linear-model-on-apps-and-labels", "kernel_id": "118338"}, {"ref": "ddataguru/notebook-7366108a72b55b369abe", "kernel_id": "77458"}, {"ref": "ddataguru/notebook-b82b6379199c8f5d6fae", "kernel_id": "77459"}, {"ref": "ddataguru/notebook-7d93c943f00882ef920e", "kernel_id": "77460"}, {"ref": "ddataguru/notebook-e8aa11da5efcef9faeba", "kernel_id": "77461"}, {"ref": "ddataguru/talkingdatapython", "kernel_id": "77464"}, {"ref": "ddataguru/notebook-5bbe611ad57ba58fab89", "kernel_id": "77569"}, {"ref": "datoguy/notebook-d0882e3ebdb2c8fbbc55", "kernel_id": "77671"}, {"ref": "datoguy/notebook-590bfe5aefc6c2b1a326", "kernel_id": "78562"}, {"ref": "adagyenes/notebook-ecf942b89dbf646b05c1", "kernel_id": "78866"}, {"ref": "adagyenes/living-on-a-prayer", "kernel_id": "77778"}, {"ref": "adagyenes/notebook-7d5bbfb8b7a5414adee5", "kernel_id": "77857"}, {"ref": "dbenji/notebook-5590e1fc210f855451b9", "kernel_id": "80593"}, {"ref": "arva23/scripttest", "kernel_id": "78916"}, {"ref": "dongze/notebook-d7c4cc5f9128a0080a58", "kernel_id": "84785"}, {"ref": "shiyuan0123/notebook-13423bc59297f679c244", "kernel_id": "77824"}, {"ref": "jorgemontero/notebook-83bb47eaac31136f08c4", "kernel_id": "78152"}, {"ref": "bernadsky/a-linear-model-on-apps-and-labels", "kernel_id": "86739"}, {"ref": "bernadsky/a-linear-model-on-apps-and-labels-80117071", "kernel_id": "86741"}, {"ref": "fengshiniu/test-script", "kernel_id": "89312"}, {"ref": "tejjet/notebook-a9df9d773fee2ed4188f", "kernel_id": "78314"}, {"ref": "darkalot/notebook-faf6cc1b693d223f3242", "kernel_id": "81749"}, {"ref": "romrani/notebook-fde8cc7266903300c95e", "kernel_id": "85483"}, {"ref": "romrani/brand-and-model-based-benchmarks", "kernel_id": "85454"}, {"ref": "cupello/geolocation-visualisations", "kernel_id": "120689"}, {"ref": "xingobar/data-visualization-1", "kernel_id": "122582"}, {"ref": "xingobar/xgboost-starter", "kernel_id": "129573"}, {"ref": "mrdanibudapest/talkingdata", "kernel_id": "81865"}, {"ref": "zoeshuang2016/create-time-and-location-variables", "kernel_id": "82288"}, {"ref": "ioscas/notebook-4f20ce85563b20e4053e", "kernel_id": "77735"}, {"ref": "ioscas/talkingdatapython", "kernel_id": "77738"}, {"ref": "ioscas/notebook-0246e3c0330165e9c6dd", "kernel_id": "77747"}, {"ref": "ioscas/notebook-309299bea6a11f13becb", "kernel_id": "77563"}, {"ref": "ioscas/notebook-08ea84702817e73398da", "kernel_id": "77881"}, {"ref": "yanlili/xgboost-simple-starter-more-features", "kernel_id": "81632"}, {"ref": "yanlili/geolocation-visualisations", "kernel_id": "81635"}, {"ref": "luoyingwu/xgboost0809", "kernel_id": "87058"}, {"ref": "luoyingwu/testguan", "kernel_id": "87041"}, {"ref": "luoyingwu/tttrttt", "kernel_id": "87036"}, {"ref": "luoyingwu/a-linear-model-on-apps-and-labels", "kernel_id": "87015"}, {"ref": "marcusdelrio/gender-age-distributions", "kernel_id": "88549"}, {"ref": "marcusdelrio/notebooke8061db0f7", "kernel_id": "88545"}, {"ref": "marcusdelrio/notebook1d825c4552", "kernel_id": "88546"}, {"ref": "marcusdelrio/notebook61d02eec26", "kernel_id": "88547"}, {"ref": "joaomarcosgris/notebookf5af4dd700", "kernel_id": "90774"}, {"ref": "joaomarcosgris/talking-data", "kernel_id": "90625"}, {"ref": "joaomarcosgris/notebook361fa4e80b", "kernel_id": "90579"}, {"ref": "joaomarcosgris/notebooke2a838eb2d", "kernel_id": "90475"}, {"ref": "joaomarcosgris/notebooka7b9c60f1e", "kernel_id": "90468"}, {"ref": "xuezhou/brand-and-model-based-benchmarks", "kernel_id": "84635"}, {"ref": "kadkaz/notebook-557753c0927b27cf3bcc", "kernel_id": "78160"}, {"ref": "grepgrace/notebook-bf7e776f93d369f71caa", "kernel_id": "77898"}, {"ref": "grepgrace/hello", "kernel_id": "77895"}, {"ref": "cnukaus/a-linear-model-on-apps-and-labels-1f4dd387", "kernel_id": "86994"}, {"ref": "cnukaus/brand-and-model-based-benchmarks", "kernel_id": "86996"}, {"ref": "cnukaus/a-linear-model-on-apps-and-labels", "kernel_id": "86901"}, {"ref": "cnukaus/geolocation-visualisations-c0e01ff9", "kernel_id": "94337"}, {"ref": "cnukaus/geolocation-visualisations-2e26ead4", "kernel_id": "94324"}, {"ref": "cnukaus/geolocation-visualisations", "kernel_id": "94314"}, {"ref": "july7p/talking-data-svm2", "kernel_id": "89683"}, {"ref": "july7p/talking-data", "kernel_id": "90919"}, {"ref": "july7p/talking-data-e5a0034d", "kernel_id": "91193"}, {"ref": "july7p/notebook-226d3d0e56de32ed9a5c", "kernel_id": "77915"}, {"ref": "gabrielcastor/notebook-cd4aefe3c62a43d3b262", "kernel_id": "84569"}, {"ref": "bcclaro/brand-and-model-based-benchmarks", "kernel_id": "87299"}, {"ref": "bcclaro/a-linear-model-on-apps-and-labels-ac8f6ed1", "kernel_id": "87310"}, {"ref": "bcclaro/a-linear-model-on-apps-and-labels", "kernel_id": "87289"}, {"ref": "bcclaro/a-linear-model-on-apps-and-labels-5d9cc7ae", "kernel_id": "87337"}, {"ref": "bcclaro/brand-and-model-based-benchmarks-12a621b4", "kernel_id": "87371"}, {"ref": "bcclaro/notebook75e617c86f", "kernel_id": "90895"}, {"ref": "mithundasgupta/a-linear-model-on-apps-and-labels", "kernel_id": "90474"}, {"ref": "helinhai/a-linear-model-on-apps-and-labels", "kernel_id": "115577"}, {"ref": "dmitryr/xgboost-simple-starter", "kernel_id": "79387"}, {"ref": "dmitryr/xgboost", "kernel_id": "79245"}, {"ref": "dmitryr/notebook-301bb8a518e2f4b2f213", "kernel_id": "79260"}, {"ref": "qianqianhu/notebook-72f053726c8ed61e612c", "kernel_id": "79730"}, {"ref": "lanxii/notebook-d3918c636ffedf5659fb", "kernel_id": "78787"}, {"ref": "lanxii/test-1", "kernel_id": "78785"}, {"ref": "royrao/notebook-d5620aa83f9e5ea7fe89", "kernel_id": "78422"}, {"ref": "tutu2333/notebook-44fd52ad4c657e3f59b5", "kernel_id": "82129"}, {"ref": "henriquerzo/a-linear-model-on-apps-and-labels", "kernel_id": "88359"}, {"ref": "mschlupp/categorizing-labels", "kernel_id": "91536"}, {"ref": "supergirl16/notebook-65a4c525d7b39b7a531a", "kernel_id": "78792"}, {"ref": "daoling/a-linear-model-on-apps-and-labels", "kernel_id": "87460"}, {"ref": "vinayshuddar/a-linear-model-on-apps-and-labels-7882ae3d", "kernel_id": "94411"}, {"ref": "vinayshuddar/eda-of-the-talkingdata-mobile-demographics-datas", "kernel_id": "94186"}, {"ref": "vinayshuddar/a-simple-multi-class-logistic-regression-model", "kernel_id": "94272"}, {"ref": "vinayshuddar/a-linear-model-on-apps-and-labels-16bae52e", "kernel_id": "93763"}, {"ref": "vinayshuddar/fork-of-a-linear-model-on-apps-and-labels", "kernel_id": "93527"}, {"ref": "vinayshuddar/notebook947a6fa9e7", "kernel_id": "93581"}, {"ref": "redware/notebook-d238f28f07d2eef67a85", "kernel_id": "81449"}, {"ref": "redware/notebook-c12538216c9d904c6a16", "kernel_id": "81291"}, {"ref": "zero1397/temp1", "kernel_id": "80571"}, {"ref": "zero1397/notebook-2d6e43c22afaaee812e7", "kernel_id": "80204"}, {"ref": "zero1397/xgboost", "kernel_id": "82459"}, {"ref": "zero1397/notebook-e0b2c7c5a62327504656", "kernel_id": "82116"}, {"ref": "zero1397/rpart-predict", "kernel_id": "82117"}, {"ref": "zero1397/rpart1", "kernel_id": "84710"}, {"ref": "zero1397/xgboost-featurehashing", "kernel_id": "86145"}, {"ref": "errearanhas/a-linear-model-on-apps-and-labels-b98a49ce", "kernel_id": "86350"}, {"ref": "errearanhas/a-linear-model-on-apps-and-labels", "kernel_id": "86327"}, {"ref": "errearanhas/a-linear-model-on-apps-and-labels-79ade0a1", "kernel_id": "86335"}, {"ref": "errearanhas/a-linear-model-on-apps-and-labels-e7444501", "kernel_id": "86365"}, {"ref": "arbintimilsina/user-portraits", "kernel_id": "89405"}, {"ref": "freemen/talkingdata-event-locations-map", "kernel_id": "80360"}, {"ref": "alanlu/sketch-1", "kernel_id": "80205"}, {"ref": "alanlu/stuff", "kernel_id": "81204"}, {"ref": "profgusta/notebook9cb67e4ce9", "kernel_id": "85677"}, {"ref": "profgusta/notebook-6a099158a6e96a0d6d75", "kernel_id": "85593"}, {"ref": "profgusta/brand-and-model-based-benchmarks", "kernel_id": "87569"}, {"ref": "gxexakis/notebook-392d7e37130c435cec61", "kernel_id": "81823"}, {"ref": "gxexakis/notebook-d59b4461b94946344db3", "kernel_id": "81863"}, {"ref": "gxexakis/first-data-exploration-of-competition", "kernel_id": "81864"}, {"ref": "gxexakis/notebook-680fb4d91518339788b7", "kernel_id": "81847"}, {"ref": "gxexakis/notebook-c4e0fbee9556a89cd711", "kernel_id": "81848"}, {"ref": "robertsimione/notebook-d40fc4f7751e40bf3dfd", "kernel_id": "80223"}, {"ref": "robertsimione/notebook6eeae42958", "kernel_id": "85806"}, {"ref": "alijs1/nnet-keras-10", "kernel_id": "87375"}, {"ref": "alijs1/bag-of-apps-keras-11-08-16-no-val", "kernel_id": "88061"}, {"ref": "alijs1/bag-of-app-id-python-2-27392", "kernel_id": "84284"}, {"ref": "xudipitt/a-linear-model-on-apps-and-labels", "kernel_id": "87461"}, {"ref": "brizito/bag-of-app-id-python-2-27392", "kernel_id": "88379"}, {"ref": "brizito/a-linear-model-on-apps-and-labels", "kernel_id": "88370"}, {"ref": "brizito/a-linear-model-on-apps-and-labels-dea1c66f", "kernel_id": "88371"}, {"ref": "benwang/geolocation-visualisations", "kernel_id": "84798"}, {"ref": "themarv/brand-and-model-based-benchmarks", "kernel_id": "109927"}, {"ref": "jimyunwa/notebook-9fbe55be90f70ace2261", "kernel_id": "81548"}, {"ref": "evartsb/geolocation-visualisations", "kernel_id": "81888"}, {"ref": "feiranbaobao/notebook-b25c99efd2d2099aa671", "kernel_id": "84396"}, {"ref": "zoranhasan/notebook-360f81c0317cf8b63559", "kernel_id": "82070"}, {"ref": "wesleyzhang/notebook-c60c148c0d814f6649d4", "kernel_id": "82123"}, {"ref": "ckisilu/notebook-fa9545931f94e0850e43", "kernel_id": "82166"}, {"ref": "ckisilu/notebook-a6d00e96f85547229381", "kernel_id": "82163"}, {"ref": "ckisilu/notebooka7d0965433", "kernel_id": "92266"}, {"ref": "arkadytunik/brand-and-model-based-benchmarks", "kernel_id": "85595"}, {"ref": "arkadytunik/notebook-679d5c5a420f92af3e1f", "kernel_id": "85610"}, {"ref": "lilf0110/notebook9bfa92b8ac", "kernel_id": "86638"}, {"ref": "db1182/who-s-active-on-friday-night", "kernel_id": "84956"}, {"ref": "youyoume/notebook-67575bc804bff88ad02b", "kernel_id": "84226"}, {"ref": "youyoume/data-explore-analysis", "kernel_id": "84229"}, {"ref": "jonnylangefeld/notebook-5973c2646ec0493f728d", "kernel_id": "84728"}, {"ref": "jonnylangefeld/notebook-9e99cebeb54fe1cde49d", "kernel_id": "83929"}, {"ref": "jonnylangefeld/event-counts", "kernel_id": "83907"}, {"ref": "jonnylangefeld/first-try", "kernel_id": "83870"}, {"ref": "chanism/notebook-fb9f525b1fdf09948923", "kernel_id": "85487"}, {"ref": "fanlu7311/notebook-6a0587c53a5cd9cd4b33", "kernel_id": "85159"}, {"ref": "fanlu7311/notebook-0839e14593fff112d876", "kernel_id": "85160"}, {"ref": "fanlu7311/talking-data-v-30", "kernel_id": "85157"}, {"ref": "shridhar1991/xgboost-in-r-2-27217", "kernel_id": "84364"}, {"ref": "matthieuea/notebook000ab96097", "kernel_id": "92800"}, {"ref": "kavitam/xgboost-in-r-2-27217-my", "kernel_id": "85239"}, {"ref": "mykolabiletskyi/brand-and-model-based-benchmarks", "kernel_id": "84500"}, {"ref": "mykolabiletskyi/notebook-11b7e83dc16bd08e7a8a", "kernel_id": "84518"}, {"ref": "mykolabiletskyi/notebook-8578001316ad7c396799", "kernel_id": "84515"}, {"ref": "avicizhu/notebookb5b9789b33", "kernel_id": "95060"}, {"ref": "kostyabahshetsyan/determining-demographics-from-app-labels", "kernel_id": "93419"}, {"ref": "acyouzi/test-frist", "kernel_id": "91260"}, {"ref": "frankchengcheng/firstscirpt", "kernel_id": "85555"}, {"ref": "frankchengcheng/firstnotebook", "kernel_id": "85556"}, {"ref": "christianyeah/3123123123", "kernel_id": "85176"}, {"ref": "colinfraser/notebook-5d03d4c8ab8bffb3c028", "kernel_id": "85194"}, {"ref": "colinfraser/notebook-b3611309101644c0561e", "kernel_id": "85195"}, {"ref": "colinfraser/notebook-8a3bc961a854bdaba72a", "kernel_id": "85196"}, {"ref": "colinfraser/quick-plot-of-gender-imbalances-by-brand", "kernel_id": "85197"}, {"ref": "colinfraser/notebook-64f4a4479baaee92f559", "kernel_id": "85201"}, {"ref": "larsonw/a-linear-model-on-apps-and-labels-33beee74", "kernel_id": "88984"}, {"ref": "larsonw/notebook1a915c885c", "kernel_id": "92176"}, {"ref": "larsonw/a-linear-model-on-apps-and-labels-v1", "kernel_id": "92192"}, {"ref": "davist/notebook-ea634f3a9f7a512dce0a", "kernel_id": "85367"}, {"ref": "akash222/talkingdata-try", "kernel_id": "88058"}, {"ref": "demonzheg/a-linear-model-on-apps-and-labels", "kernel_id": "87088"}, {"ref": "hskhade/talkingdata-exploration", "kernel_id": "86469"}, {"ref": "hskhade/talkingdata-exploration-17e0f5dd", "kernel_id": "86470"}, {"ref": "liguiz/a-linear-model-on-apps-and-labels", "kernel_id": "88610"}, {"ref": "liguiz/geolocation-visualisations", "kernel_id": "88611"}, {"ref": "liguiz/a-linear-model-on-apps-and-labels-a2e75fd0", "kernel_id": "88615"}, {"ref": "ryankresse/a-linear-model-on-apps-and-labels", "kernel_id": "88994"}, {"ref": "ryankresse/brand-and-model-based-benchmarks", "kernel_id": "89136"}, {"ref": "eduardoli/notebook1c8dc372dc", "kernel_id": "93832"}, {"ref": "goddieyue/a-linear-model-on-apps-and-labels", "kernel_id": "100901"}, {"ref": "yasamin/geolocation-visualisations", "kernel_id": "92244"}, {"ref": "dccazares/talkdata", "kernel_id": "87211"}, {"ref": "bzmccarthy/notebook44ebafc792", "kernel_id": "91893"}, {"ref": "johanar/notebookeedf6020a1", "kernel_id": "96513"}, {"ref": "liuyue715lm/notebook21f67bb56c", "kernel_id": "93521"}, {"ref": "liuyue715lm/geolocation-visualisations", "kernel_id": "93510"}, {"ref": "vgp314/notebooke3b68bbb5f", "kernel_id": "90603"}, {"ref": "ethornhill/notebook5ec87787c4", "kernel_id": "88571"}, {"ref": "ethornhill/notebookb22a0d5ff2", "kernel_id": "88572"}, {"ref": "ethornhill/notebook4b4718f311", "kernel_id": "88576"}, {"ref": "ethornhill/getting-the-basics", "kernel_id": "88587"}, {"ref": "ethornhill/notebook13f4f698ea", "kernel_id": "88585"}, {"ref": "naturalbeau/brand-and-model-based-benchmarks", "kernel_id": "88886"}, {"ref": "avraham/a-linear-model-on-apps-and-labels", "kernel_id": "120534"}, {"ref": "thomashoracesmith/brand-and-model-based-benchmarks", "kernel_id": "89911"}, {"ref": "alipsilv/notebook22cdcd9da2", "kernel_id": "93158"}, {"ref": "victorfeitosa/talking-data", "kernel_id": "90648"}, {"ref": "daschwanden/notebook0725068d59", "kernel_id": "90320"}, {"ref": "pivtree/a-linear-model-on-apps-and-labels", "kernel_id": "90470"}, {"ref": "pivtree/geolocation-visualisations", "kernel_id": "90424"}, {"ref": "shijianjiqi/notebook-demo", "kernel_id": "91000"}, {"ref": "mengrayan/notebookaca0442dc8", "kernel_id": "90981"}, {"ref": "gouxute1/a-linear-model-on-apps-and-labels", "kernel_id": "101201"}, {"ref": "gouxute1/brand-and-model-based-benchmarks-5c54ae89", "kernel_id": "102190"}, {"ref": "gouxute1/brand-and-model-based-benchmarks-11252e66", "kernel_id": "102148"}, {"ref": "gouxute1/brand-and-model-based-benchmarks", "kernel_id": "101602"}, {"ref": "gouxute1/brand-and-model-based-benchmarks-9a468fec", "kernel_id": "102477"}, {"ref": "najib90/geolocation-visualisations", "kernel_id": "95811"}, {"ref": "ashisha/model-1", "kernel_id": "92115"}, {"ref": "jacobs1017/xgboost-for-gender-prediction", "kernel_id": "94255"}, {"ref": "duyetdev/notebook59f56d1fe3", "kernel_id": "92264"}, {"ref": "busybee13/notebooka80393661b", "kernel_id": "116642"}, {"ref": "busybee13/brand-and-model-based-benchmarks", "kernel_id": "120591"}, {"ref": "busybee13/brand-and-model-based-benchmarks-6179b4d1", "kernel_id": "131654"}, {"ref": "busybee13/brand-and-model-based-benchmarks-19e2c61c", "kernel_id": "131134"}, {"ref": "busybee13/test-xgboost", "kernel_id": "131048"}, {"ref": "busybee13/user-portraits-test", "kernel_id": "130177"}, {"ref": "sunsp4rk/geolocation-visualisations", "kernel_id": "92539"}, {"ref": "omaxim/test1-simple", "kernel_id": "92708"}, {"ref": "cvisger/notebookdc6ac8bdf9", "kernel_id": "93407"}, {"ref": "kalulud/mobile-user-profile-prediction", "kernel_id": "116335"}, {"ref": "kalulud/a-linear-model-on-apps-and-labels", "kernel_id": "116323"}, {"ref": "kalulud/notebook169edc8ed3", "kernel_id": "234082"}, {"ref": "kalulud/a-bayesian-classification-of-user-demographics", "kernel_id": "234097"}, {"ref": "roggin/geolocation-visualisations-3a21b6b9", "kernel_id": "94383"}, {"ref": "roggin/geolocation-visualisations", "kernel_id": "94366"}, {"ref": "roggin/learning-pandas-follow-by-experts-i", "kernel_id": "94401"}, {"ref": "krchia/a-linear-model-on-apps-and-labels", "kernel_id": "94461"}, {"ref": "krchia/a-linear-model-on-apps-and-labels-6c150342", "kernel_id": "95547"}, {"ref": "vicomedina/notebookfb58fb0968", "kernel_id": "94508"}, {"ref": "liqunhit/notebook9aefe4cce7", "kernel_id": "100674"}, {"ref": "anaionescu/notebookd7e8835e9a", "kernel_id": "109599"}, {"ref": "anaionescu/notebook68c787f44c", "kernel_id": "133741"}, {"ref": "zyunzhou/notebook510ed2bd58", "kernel_id": "120540"}, {"ref": "liaojosi/a-linear-model-on-apps-and-labels", "kernel_id": "98798"}, {"ref": "liruihong/a-linear-model-on-apps-and-labels-0cc4cffc", "kernel_id": "110763"}, {"ref": "liruihong/a-linear-model-on-apps-and-labels", "kernel_id": "99428"}, {"ref": "superoil/test-submit", "kernel_id": "98910"}, {"ref": "superoil/test-from-dune-dweller", "kernel_id": "98941"}, {"ref": "kushalkk/notebook7d306360cd", "kernel_id": "226188"}, {"ref": "ravindraut/notebookf2ec682ac5", "kernel_id": "224151"}, {"ref": "oflucas/geolocation-visualisations", "kernel_id": "100350"}, {"ref": "kumarshivam675/a-linear-model-on-apps-and-labels", "kernel_id": "111075"}, {"ref": "amsanzgi/a-linear-model-on-apps-and-labels", "kernel_id": "101314"}, {"ref": "xieyufish/a-linear-model-on-apps-and-labels-ad458aa9", "kernel_id": "143664"}, {"ref": "xieyufish/gender-predictor", "kernel_id": "144515"}, {"ref": "xieyufish/notebookfc0fdc76f5", "kernel_id": "158761"}, {"ref": "xieyufish/fork-of-gender-predictor", "kernel_id": "158762"}, {"ref": "xieyufish/notebook49c2d9b256", "kernel_id": "158778"}, {"ref": "xieyufish/fork-7-of-gender-predictor-f6d403d0", "kernel_id": "159909"}, {"ref": "xieyufish/fork-6-of-gender-predictor", "kernel_id": "159907"}, {"ref": "xieyufish/fork-2-of-gender-predictor", "kernel_id": "159892"}, {"ref": "xieyufish/fork-3-of-gender-predictor-9ac3f1c4", "kernel_id": "159899"}, {"ref": "xieyufish/fork-4-of-gender-predictor-c90ead71", "kernel_id": "159900"}, {"ref": "xieyufish/fork-5-of-gender-predictor", "kernel_id": "159901"}, {"ref": "xieyufish/a-linear-model-on-apps-and-labels", "kernel_id": "124793"}, {"ref": "xieyufish/a-linear-model-on-apps-and-labels-358d24f2", "kernel_id": "124795"}, {"ref": "xieyufish/notebook0052f0b3c1", "kernel_id": "124785"}, {"ref": "xieyufish/predict-gender-and-age-separately", "kernel_id": "135095"}, {"ref": "xieyufish/neural-network-on-talkingdata", "kernel_id": "136744"}, {"ref": "xieyufish/a-linear-model-on-apps-and-labels-e2ec3de3", "kernel_id": "124853"}, {"ref": "xieyufish/my-first-try-and-learn-from-dune-dweller", "kernel_id": "128186"}, {"ref": "xieyufish/a-linear-model-on-apps-and-labels-bbe1d1aa", "kernel_id": "128384"}, {"ref": "xieyufish/notebook73917bb91b", "kernel_id": "128385"}, {"ref": "xieyufish/my-2nd-try-and-learn-from-dune-dweller", "kernel_id": "128409"}, {"ref": "janeyoung/keras-on-labels-and-brands", "kernel_id": "104817"}, {"ref": "janeyoung/testtest1", "kernel_id": "104818"}, {"ref": "cristianpb/apps-and-device-model", "kernel_id": "118811"}, {"ref": "angelang/visualization", "kernel_id": "133780"}, {"ref": "angelang/nnet-test", "kernel_id": "136343"}, {"ref": "angelang/learn-and-test", "kernel_id": "130807"}, {"ref": "walla2ae/geolocation-visualisations", "kernel_id": "108014"}, {"ref": "fanshaohua/geolocation-visualisations", "kernel_id": "118645"}, {"ref": "nickyd/a-linear-model-on-apps-and-labels-640fddf5", "kernel_id": "114504"}, {"ref": "nickyd/a-linear-model-on-apps-and-labels", "kernel_id": "111128"}, {"ref": "llemon/a-linear-model-on-apps-and-labels", "kernel_id": "122015"}, {"ref": "llemon/a-linear-model-on-apps-and-labels-a9cc427c", "kernel_id": "122016"}, {"ref": "llemon/a-linear-model-on-apps-and-labels-997a74f5", "kernel_id": "124080"}, {"ref": "llemon/exploring-device-data", "kernel_id": "161585"}, {"ref": "rissonyao/making-multi-classification-benchmarks-with-r", "kernel_id": "164002"}, {"ref": "rissonyao/notebookb84e19ceb0", "kernel_id": "152226"}, {"ref": "rissonyao/fork-of-fork-of-talkingdata-exploration-with-r", "kernel_id": "152361"}, {"ref": "rissonyao/talkingdata-eda", "kernel_id": "153053"}, {"ref": "rissonyao/notebook73512be251", "kernel_id": "157362"}, {"ref": "clarkchong/fan-fei-s-grocery-understanding-lightgbm", "kernel_id": "414168"}, {"ref": "cdannen/geolocation-visualisations", "kernel_id": "164252"}, {"ref": "rpersd/a-linear-model-on-apps-and-labels", "kernel_id": "141577"}, {"ref": "saraseguraquerol/a-linear-model-on-apps-and-labels", "kernel_id": "167026"}, {"ref": "juniors15/notebook6d973d04db", "kernel_id": "232178"}, {"ref": "kagglemacx/notebook03484273c0", "kernel_id": "154812"}, {"ref": "vkhetan/a-linear-model-on-apps-and-labels", "kernel_id": "219921"}, {"ref": "vkhetan/talking-data-a-different-perspective", "kernel_id": "223416"}, {"ref": "vkhetan/fork-of-talking-data-feature-engg", "kernel_id": "224356"}, {"ref": "dongxiang/notebooke16231cf75", "kernel_id": "249033"}, {"ref": "yingru/keras-on-labels-and-brands", "kernel_id": "268032"}, {"ref": "covacik/brand-and-model-based-benchmarks", "kernel_id": "208850"}, {"ref": "tuzhen/brand-and-model-based-benchmarks-d4d1ce", "kernel_id": "256774"}, {"ref": "kylingu/talkingdata-learning", "kernel_id": "1086159"}, {"ref": "manohar676/user-portraits", "kernel_id": "6340758"}, {"ref": "manohar676/user-portraits-85f00e", "kernel_id": "6340759"}, {"ref": "buraktutanlar/notebookbe48016f81", "kernel_id": "16351961"}, {"ref": "parthabera/model-based-benchmarks-of-brands", "kernel_id": "30019329"}, {"ref": "youlin47/talkingdata-geospatial-user-personas-and-demograp", "kernel_id": "84740126"}, {"ref": "hellostr/talkingdata-learning", "kernel_id": "105442898"}]}
{"competition_id": "5341", "kernels": []}
{"competition_id": "5342", "kernels": []}
{"competition_id": "5343", "kernels": []}
{"competition_id": "5354", "kernels": []}
{"competition_id": "5357", "kernels": [{"ref": "antgoldbloom/notebookfb580f4075", "kernel_id": "97498"}, {"ref": "anandjeyahar/looking-at-categorical-data", "kernel_id": "109105"}, {"ref": "anandjeyahar/magic-feature-visualization", "kernel_id": "108871"}, {"ref": "anandjeyahar/date-exploration-6min-0-01", "kernel_id": "101561"}, {"ref": "alexxanderlarko/faron-magic", "kernel_id": "106875"}, {"ref": "alexxanderlarko/scirpus-extreme-bayes-faron1010", "kernel_id": "103714"}, {"ref": "alexxanderlarko/road-2-0-4", "kernel_id": "103783"}, {"ref": "alexxanderlarko/road-2-0-4-featureset", "kernel_id": "103845"}, {"ref": "benhamner/notebookfb9e249217", "kernel_id": "98822"}, {"ref": "coincoin/notebook13df80a940", "kernel_id": "95680"}, {"ref": "ccccat/road-2-0-4", "kernel_id": "103335"}, {"ref": "junwang4/date-exploration-6min-0-01", "kernel_id": "100831"}, {"ref": "guyko81/description2", "kernel_id": "99249"}, {"ref": "guyko81/description", "kernel_id": "99240"}, {"ref": "frosklis/notebook039e3a17b5", "kernel_id": "107843"}, {"ref": "imnishantg/shopfloor-visualization", "kernel_id": "109355"}, {"ref": "nigelcarpenter/response-summary", "kernel_id": "95705"}, {"ref": "nigelcarpenter/road-2-0-4", "kernel_id": "103347"}, {"ref": "nigelcarpenter/shopfloor-visualization", "kernel_id": "103010"}, {"ref": "nigelcarpenter/newscr", "kernel_id": "115015"}, {"ref": "kingsleyha/notebook1908b6784d", "kernel_id": "99305"}, {"ref": "gaborfodor/last-week-1", "kernel_id": "114851"}, {"ref": "gaborfodor/69-failure-rate", "kernel_id": "101015"}, {"ref": "gaborfodor/notebookd19d11e4f2", "kernel_id": "99488"}, {"ref": "aarash/notebook104729dccb", "kernel_id": "107867"}, {"ref": "vikramgarg/notebook1b2a015465", "kernel_id": "100913"}, {"ref": "kellijean/eda-of-important-features", "kernel_id": "96651"}, {"ref": "tahamokfi/tmhyj", "kernel_id": "96152"}, {"ref": "zacstewart/notebooke4ad66bca5", "kernel_id": "97452"}, {"ref": "thakurrajanand/road-2-0-4", "kernel_id": "103876"}, {"ref": "littleding/notebook0e772c9fdf", "kernel_id": "97692"}, {"ref": "bushang/notebookd6c2b1d3f2", "kernel_id": "96340"}, {"ref": "zhangyang/test2", "kernel_id": "111294"}, {"ref": "wxjennifer/numerical-feature-density-anomaly-detection", "kernel_id": "98183"}, {"ref": "kumarmankala/notebookedabfa05fc", "kernel_id": "101436"}, {"ref": "neiljdo/notebook58a8e2a4c0", "kernel_id": "99600"}, {"ref": "jmartinezot/date-exploration-6min-0-01", "kernel_id": "100488"}, {"ref": "chapmansiu/date-exploration-6min-0-01", "kernel_id": "107184"}, {"ref": "chapmansiu/69-failure-rate", "kernel_id": "106786"}, {"ref": "asenov/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99029"}, {"ref": "ykalidas/notebook2d3a384e8e", "kernel_id": "98065"}, {"ref": "alvarotolentino/featuredensity", "kernel_id": "97217"}, {"ref": "valadi/bish-bash-xgboost", "kernel_id": "98735"}, {"ref": "valadi/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98547"}, {"ref": "valadi/bos-ch-ewbaccaa-jaya", "kernel_id": "101950"}, {"ref": "valadi/loo-template-for-low-memory", "kernel_id": "101239"}, {"ref": "valadi/bos-ch-ewbaccaa", "kernel_id": "99478"}, {"ref": "valadi/road-2-0-4", "kernel_id": "103519"}, {"ref": "valadi/scirpus-extreme-bayes-faron-36312-jaya", "kernel_id": "103527"}, {"ref": "valadi/scirpus-extreme-bayes-faron-jaya", "kernel_id": "103532"}, {"ref": "valadi/scirpus-extreme-bayes-faron-jaya1", "kernel_id": "106756"}, {"ref": "valadi/dropbox", "kernel_id": "111703"}, {"ref": "valadi/newscr", "kernel_id": "111389"}, {"ref": "valadi/xgbboost-tune-4", "kernel_id": "114396"}, {"ref": "nishkgp/magic-feature-visualization", "kernel_id": "103698"}, {"ref": "nishkgp/looking-at-categorical-data-0cbd9527", "kernel_id": "114617"}, {"ref": "nishkgp/explore-the-train-data-footprint", "kernel_id": "112609"}, {"ref": "nishkgp/python-xgboost-starter-0-209-public-mcc", "kernel_id": "100275"}, {"ref": "nishkgp/data-discovery-intro", "kernel_id": "101095"}, {"ref": "nishkgp/looking-at-categorical-data", "kernel_id": "100724"}, {"ref": "nishkgp/date-exploration-6min-0-01", "kernel_id": "102129"}, {"ref": "vykhand/notebookdaad63ce82", "kernel_id": "99087"}, {"ref": "tonydo/notebook1605bb08c3", "kernel_id": "142885"}, {"ref": "mohamedali/notebook2fe8bf1ec2", "kernel_id": "99007"}, {"ref": "ivarssilamikelis/kernel1", "kernel_id": "98217"}, {"ref": "ivarssilamikelis/kernel2", "kernel_id": "98218"}, {"ref": "salilnavgire/python-xgboost-starter-0-209-public-mcc", "kernel_id": "108020"}, {"ref": "erikerik/notebookfa5495e875", "kernel_id": "100214"}, {"ref": "erikerik/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98487"}, {"ref": "cpmpml/optimizing-probabilities-for-best-mcc", "kernel_id": "95359"}, {"ref": "ketkar/notebook212b84a7f3", "kernel_id": "105871"}, {"ref": "franchi/notebook3909fc701d", "kernel_id": "108310"}, {"ref": "ijaganjac/python-xgboost-starter-0-209-public-mcc-e23db7df", "kernel_id": "100454"}, {"ref": "ijaganjac/python-xgboost-starter-0-209-public-mcc-ca7958ab", "kernel_id": "99019"}, {"ref": "ijaganjac/python-xgboost-starter-0-209-public-mcc-2870dcaf", "kernel_id": "107267"}, {"ref": "gingerman/generating-date-features-r", "kernel_id": "99516"}, {"ref": "gingerman/errors-in-sequence", "kernel_id": "102854"}, {"ref": "gingerman/shopfloor-visualization", "kernel_id": "102946"}, {"ref": "gingerman/shopfloor-visualization-2-0", "kernel_id": "109875"}, {"ref": "miyamamoto/notebook5cb63ca47f", "kernel_id": "113271"}, {"ref": "miyamamoto/magic-feature-visualization", "kernel_id": "114691"}, {"ref": "miyamamoto/python-xgboost-starter-0-209-public-mcc", "kernel_id": "114296"}, {"ref": "company/bplp-1", "kernel_id": "104348"}, {"ref": "ganeshsivaraman/pyspark-decision-tree-eda", "kernel_id": "104523"}, {"ref": "ganeshsivaraman/scikit-learn-numericfeature-reduction", "kernel_id": "108116"}, {"ref": "uday1889/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99142"}, {"ref": "mkrcah/notebook5a3d6a0bbe", "kernel_id": "97163"}, {"ref": "oselot/notebookf14eaba39f", "kernel_id": "102687"}, {"ref": "ngcrawford/python-xgboost-starter-0-209-public-mcc", "kernel_id": "97724"}, {"ref": "alexanderhoffmann/looking-at-categorical-data", "kernel_id": "100648"}, {"ref": "aamaia/failures-in-pairs", "kernel_id": "102767"}, {"ref": "aamaia/notebook74e89d602c", "kernel_id": "100268"}, {"ref": "aamaia/notebook62ba98c0ff", "kernel_id": "100781"}, {"ref": "ceshine/magic-feature-visualization", "kernel_id": "103692"}, {"ref": "datasailor/road-2-0-4", "kernel_id": "103425"}, {"ref": "datasailor/scirpus-extreme-bayes-faron-36312-m", "kernel_id": "104185"}, {"ref": "datasailor/scirpus-extreme-bayes-faron-36312-mm", "kernel_id": "104212"}, {"ref": "datasailor/scirpus-extreme-bayes-faron-36312-mmm", "kernel_id": "105258"}, {"ref": "datasailor/loo-template-for-low-memory", "kernel_id": "101142"}, {"ref": "saikumarallaka/notebook8beea82cba", "kernel_id": "95540"}, {"ref": "saikumarallaka/notebookba3aa30974", "kernel_id": "95426"}, {"ref": "jeremyjesse/notebook640234115e", "kernel_id": "106616"}, {"ref": "yashwanthreddy/r-implementation-of-mcc-optimization", "kernel_id": "108859"}, {"ref": "mariofilho/date-exploration-6min-0-01", "kernel_id": "111704"}, {"ref": "archananan/shopfloor-visualization", "kernel_id": "108106"}, {"ref": "archananan/unique-production-patterns", "kernel_id": "108462"}, {"ref": "jamesallen/eda-1", "kernel_id": "96762"}, {"ref": "jamesallen/notebook1a0ddc0950", "kernel_id": "96794"}, {"ref": "skrubba/date-exploration-6min-0-01", "kernel_id": "103371"}, {"ref": "rohanrao/r-implementation-of-mcc-optimization", "kernel_id": "99057"}, {"ref": "azacharia/datewithfeatures", "kernel_id": "100313"}, {"ref": "avishek/numerical-feature-density-anomaly-detection", "kernel_id": "99193"}, {"ref": "avishek/xgb-25092016", "kernel_id": "99612"}, {"ref": "avishek/python-xgboost-starter-0-209-public-mcc-v1", "kernel_id": "99469"}, {"ref": "avishek/data-explore", "kernel_id": "99472"}, {"ref": "lnicalo/eda-of-important-features", "kernel_id": "96655"}, {"ref": "jankivora/notebook51bd515e6a", "kernel_id": "114405"}, {"ref": "lewuathe/notebook490fb55f76", "kernel_id": "98171"}, {"ref": "anilnarassiguin/python-xgboost-starter-0-209-public-mcc", "kernel_id": "101184"}, {"ref": "kangeugine/notebook3490cf665d", "kernel_id": "107660"}, {"ref": "kangeugine/notebook59e5e950a9", "kernel_id": "107651"}, {"ref": "jwegas/notebook8e1dfec841", "kernel_id": "101947"}, {"ref": "jwegas/notebook46b728a330", "kernel_id": "98720"}, {"ref": "heteroskedastic/notebookd3337a43fd", "kernel_id": "97576"}, {"ref": "kumaran5555/eda-of-important-features", "kernel_id": "99095"}, {"ref": "bertmanila/date-exploration-6min-0-01", "kernel_id": "100028"}, {"ref": "outliar/scirpus-extreme-bayes-faron", "kernel_id": "103957"}, {"ref": "outliar/scirpus-extremes-faron-36312", "kernel_id": "104182"}, {"ref": "outliar/69-failure-rate", "kernel_id": "105160"}, {"ref": "outliar/aasaasaa", "kernel_id": "106253"}, {"ref": "outliar/notebook63fa6ffc59", "kernel_id": "106263"}, {"ref": "outliar/18-failure-rate", "kernel_id": "101223"}, {"ref": "outliar/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98857"}, {"ref": "vinayaknv/notebookc17d94c848", "kernel_id": "107533"}, {"ref": "sharadhgabhane/notebookb72e9718a9", "kernel_id": "108574"}, {"ref": "ramkikrish/notebook9ce36bf2fc", "kernel_id": "108579"}, {"ref": "shraddhas/magic-feature-visualization", "kernel_id": "106783"}, {"ref": "roshankr/notebookcf8d4c76dd", "kernel_id": "115610"}, {"ref": "suresubs/notebookcd089e37ca", "kernel_id": "112854"}, {"ref": "hskksk/r-implementation-of-mcc-optimization", "kernel_id": "99130"}, {"ref": "mithunghosh/test01", "kernel_id": "112567"}, {"ref": "amitchoudhary/notebook8ce67fc8c7", "kernel_id": "107562"}, {"ref": "amitchoudhary/bosch-v1-1", "kernel_id": "107563"}, {"ref": "paulinechow/python-xgboost-starter-with-pca-099872", "kernel_id": "106754"}, {"ref": "paulinechow/python-xgboost-starter-0-209-public-mcc", "kernel_id": "103117"}, {"ref": "bhatprarthana/eda-train-date", "kernel_id": "98417"}, {"ref": "bhatprarthana/notebook4d3d13def7", "kernel_id": "98419"}, {"ref": "bhatprarthana/eda-train-date1", "kernel_id": "98420"}, {"ref": "psaadbye/shopfloor-visualization-2-0", "kernel_id": "113598"}, {"ref": "psaadbye/magic-feature-visualization", "kernel_id": "110836"}, {"ref": "psaadbye/extreme-boosted-trees", "kernel_id": "103627"}, {"ref": "jeffhebert/visualize-station-parameters-over-time", "kernel_id": "95598"}, {"ref": "jeffhebert/visualize-station-performance", "kernel_id": "95338"}, {"ref": "jeffhebert/visualize-part-history", "kernel_id": "95355"}, {"ref": "malabar/python-xgboost-starter-0-209-public-mcc", "kernel_id": "101227"}, {"ref": "malabar/xgboost-starter-101", "kernel_id": "110895"}, {"ref": "malabar/notebookf6efac45c6", "kernel_id": "111698"}, {"ref": "zheng11/notebookc40e8b7d9a", "kernel_id": "103331"}, {"ref": "vladimirmilushev/69-failure-rate", "kernel_id": "110403"}, {"ref": "vladimirmilushev/python-xgboost-starter-0-209-public-mcc", "kernel_id": "101385"}, {"ref": "vladimirmilushev/optimizing-probabilities-for-best-mcc", "kernel_id": "101651"}, {"ref": "thinkersunil/r-implementation-of-mcc-optimization", "kernel_id": "100618"}, {"ref": "anuragchilukuri/notebooka9100b790e", "kernel_id": "122276"}, {"ref": "republic966/trail-2", "kernel_id": "112136"}, {"ref": "ahmedg/python-xgboost-starter-0-209-public-mcc-092ff34e", "kernel_id": "113384"}, {"ref": "ahmedg/notebookde57c304f1", "kernel_id": "103971"}, {"ref": "ahmedg/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99260"}, {"ref": "burgje/notebook2c578eb9d9", "kernel_id": "104479"}, {"ref": "yuqingxue/cartoonish-python-barplot", "kernel_id": "116041"}, {"ref": "yuqingxue/shopfloor-visualization-2-0", "kernel_id": "110061"}, {"ref": "yuqingxue/scirpus-extreme-bayes-faron-jaya", "kernel_id": "110913"}, {"ref": "yuqingxue/ervrve", "kernel_id": "108459"}, {"ref": "yuqingxue/scirpus-extreme-bayes-faron-jaya2", "kernel_id": "109322"}, {"ref": "yuqingxue/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98855"}, {"ref": "ioannisyannou/find-column-headers-with-less-than-x-na-values", "kernel_id": "112183"}, {"ref": "xmwang/notebookcd2665faa8", "kernel_id": "111691"}, {"ref": "billskelly/notebook64127af476", "kernel_id": "109642"}, {"ref": "rdatascientist/notebookc3057fdfcc", "kernel_id": "100393"}, {"ref": "etherqua/exploratory-data-analysis-of-bosch", "kernel_id": "98816"}, {"ref": "etherqua/testd", "kernel_id": "102042"}, {"ref": "etherqua/eda-with-python", "kernel_id": "101031"}, {"ref": "etherqua/road-2-0-4", "kernel_id": "103706"}, {"ref": "mmueller/road-2-0-4", "kernel_id": "103308"}, {"ref": "rajkumarb/magic-feature-visualization", "kernel_id": "105386"}, {"ref": "nani233/bosch-features", "kernel_id": "98946"}, {"ref": "nani233/feature-no-sequence", "kernel_id": "95408"}, {"ref": "nani233/summary-of-features", "kernel_id": "96183"}, {"ref": "nani233/shopfloor-visualization-2-0", "kernel_id": "118309"}, {"ref": "darraghdog/out-of-fold-rolling-mean", "kernel_id": "125796"}, {"ref": "darraghdog/find-duplicated-columns-with-digest", "kernel_id": "103292"}, {"ref": "darraghdog/road-2-0-4-featureset", "kernel_id": "103344"}, {"ref": "darraghdog/r-implementation-of-mcc-optimization-from-rohan", "kernel_id": "99189"}, {"ref": "makanga/notebookf29fb76da7", "kernel_id": "100733"}, {"ref": "raviinits/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98796"}, {"ref": "jameszhou92/notebook14ab054988", "kernel_id": "107869"}, {"ref": "omkarkulkarni/day1-tryouts", "kernel_id": "108649"}, {"ref": "ricardoyabe/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99263"}, {"ref": "ricardoyabe/python-xgboost-starter-0-209-public-mcc-82ea3def", "kernel_id": "99278"}, {"ref": "cartographic/bish-bash-xgboost", "kernel_id": "96376"}, {"ref": "cartographic/de-dupe-categoricals", "kernel_id": "95434"}, {"ref": "cartographic/notebook643c8354a0", "kernel_id": "97354"}, {"ref": "cartographic/data-table-to-sparsematrix", "kernel_id": "97357"}, {"ref": "danielfg/xgboost-reg-linear-lb-0-485", "kernel_id": "116761"}, {"ref": "ejan16/python-xgboost-starter-0-209-public-mcc", "kernel_id": "113030"}, {"ref": "srwalker101/notebook6b9315d3af", "kernel_id": "95681"}, {"ref": "filipkrab/notebook55485a9828", "kernel_id": "106186"}, {"ref": "lplewa/road-2-0-4", "kernel_id": "110027"}, {"ref": "kingwang/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98277"}, {"ref": "shikhar/road-2-0-4", "kernel_id": "112803"}, {"ref": "samehif/notebook4c3d09a556", "kernel_id": "102987"}, {"ref": "born2data/python-xgboost-starter-0-209-public-mcc", "kernel_id": "209339"}, {"ref": "scirpus/scirpus-extreme-bayes-faron-3030-385", "kernel_id": "103777"}, {"ref": "scirpus/network-x-flows", "kernel_id": "103215"}, {"ref": "scirpus/loo-template-for-low-memory", "kernel_id": "100917"}, {"ref": "chsejune/notebook7099f006d8", "kernel_id": "109047"}, {"ref": "ananthakrishnar/eda-of-important-features", "kernel_id": "97608"}, {"ref": "ananthakrishnar/shopfloor-visualization", "kernel_id": "106793"}, {"ref": "ananthakrishnar/shopfloor-visualization-03d104c4", "kernel_id": "109144"}, {"ref": "markshizhe/road-2-0-4", "kernel_id": "112276"}, {"ref": "berwin/notebookbcfc5a3efb", "kernel_id": "99408"}, {"ref": "vschepak/the-first-try", "kernel_id": "102714"}, {"ref": "zengjk/notebook17a33497b7", "kernel_id": "108704"}, {"ref": "magzhan/second-script", "kernel_id": "97638"}, {"ref": "magzhan/mini-test", "kernel_id": "97884"}, {"ref": "reshsekar15/notebook23dcde9b7b", "kernel_id": "97758"}, {"ref": "colonelcarotte/de-dupe-categoricals", "kernel_id": "97120"}, {"ref": "colonelcarotte/69-failure-rate", "kernel_id": "104811"}, {"ref": "carloshuertas/notebook0f8651945a", "kernel_id": "103345"}, {"ref": "carolinekleist/bosch-check", "kernel_id": "251635"}, {"ref": "swapnilpatil/swaraj-script", "kernel_id": "100495"}, {"ref": "naruaway/notebook95d4cb2b6e", "kernel_id": "100937"}, {"ref": "naruaway/notebook8ff80ef428", "kernel_id": "101023"}, {"ref": "ryutek/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98344"}, {"ref": "ryutek/exploring-the-bosch-stations", "kernel_id": "99475"}, {"ref": "ryutek/explore-data", "kernel_id": "99529"}, {"ref": "nminus1/de-dupe-categoricals-python", "kernel_id": "101079"}, {"ref": "kenkoooo/notebook3c00548e3d", "kernel_id": "97085"}, {"ref": "kenkoooo/python-xgboost-starter-0-209-public-mcc-4e83bf6f", "kernel_id": "100760"}, {"ref": "kenkoooo/python-xgboost-starter-0-209-public-mcc-ef8ecb64", "kernel_id": "100543"}, {"ref": "kenkoooo/python-xgboost-starter-0-209-public-mcc-05e46fbd", "kernel_id": "100587"}, {"ref": "karlmoufarrej/dataexploration", "kernel_id": "97915"}, {"ref": "willingc/initial-pass", "kernel_id": "101357"}, {"ref": "shailjathakur/road-2-0-4", "kernel_id": "142696"}, {"ref": "lesaffrea/eda-of-important-features", "kernel_id": "98621"}, {"ref": "lesaffrea/what-s-wrong-with-station-32-to-be-checked", "kernel_id": "99562"}, {"ref": "lesaffrea/optimizing-probabilities-for-best-mcc", "kernel_id": "101209"}, {"ref": "lesaffrea/magic-feature-visualization", "kernel_id": "106439"}, {"ref": "cyrisfa/notebook1b15de7b8e", "kernel_id": "109720"}, {"ref": "sukhadafadnavis/bish-bash-xgboost", "kernel_id": "102797"}, {"ref": "ubsingh9/python-xgboost-starter-0-209-public-mcc", "kernel_id": "101438"}, {"ref": "ubsingh9/notebookf6ee4f838f", "kernel_id": "101465"}, {"ref": "tungty/notebook30e7ca312c", "kernel_id": "134340"}, {"ref": "murphy89/date-exploration-6min-0-01", "kernel_id": "100029"}, {"ref": "taishomono/notebook7623a7f971", "kernel_id": "97433"}, {"ref": "mudgal/eda-of-important-features", "kernel_id": "142604"}, {"ref": "mudgal/errors-in-sequence", "kernel_id": "142524"}, {"ref": "mudgal/data-discovery-intro", "kernel_id": "142530"}, {"ref": "mudgal/what-s-wrong-with-station-32", "kernel_id": "137199"}, {"ref": "mudgal/visualize-part-history", "kernel_id": "137203"}, {"ref": "sahuvaib/notebookfd5a58b43d", "kernel_id": "108298"}, {"ref": "zhugds/scirpus-extreme-bayes-faron-36312", "kernel_id": "103699"}, {"ref": "pishbin/loo-template-for-low-memory-best1", "kernel_id": "111032"}, {"ref": "pishbin/notebook66e5692dbf", "kernel_id": "109929"}, {"ref": "raven007/python-xgboost-starter-0-209-public-mcc-975adb7b", "kernel_id": "100047"}, {"ref": "raven007/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98387"}, {"ref": "raven007/python-xgboost-starter-0-209-public-mcc-2457b237", "kernel_id": "98433"}, {"ref": "aesnau/notebook1dc6dc3fc1", "kernel_id": "96709"}, {"ref": "loveds/notebook404b6dd047", "kernel_id": "106761"}, {"ref": "nathaniel/bosch-python-3-starter", "kernel_id": "96271"}, {"ref": "lamdang/explore-data", "kernel_id": "98817"}, {"ref": "lamdang/notebook9d1150a7e3", "kernel_id": "98835"}, {"ref": "wangyuqi1991/python-xgboost-starter-0-209-public-mcc", "kernel_id": "112574"}, {"ref": "tauvaa/notebook3206c7711c", "kernel_id": "98778"}, {"ref": "rjonczy/two-questions-about-the-date-file", "kernel_id": "116196"}, {"ref": "datageeks/notebook52d2c55062", "kernel_id": "109877"}, {"ref": "alessandromarrella/notebook0e7d5a485d", "kernel_id": "97937"}, {"ref": "datascientist1/magic-feature-visualization-280fcf83", "kernel_id": "112121"}, {"ref": "datascientist1/magic-feature-visualization", "kernel_id": "110880"}, {"ref": "francoisreynald/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99659"}, {"ref": "francoisreynald/python-xgboost-starter-0-209-public-mcc-f988b3ee", "kernel_id": "99687"}, {"ref": "jaredchung/notebooke061993d49", "kernel_id": "99161"}, {"ref": "asakusalemon/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99186"}, {"ref": "asakusalemon/notebookac5493c151", "kernel_id": "100395"}, {"ref": "riletti/notebook0493a4488b", "kernel_id": "98427"}, {"ref": "shankarpandala/notebook268b6398ba", "kernel_id": "98543"}, {"ref": "jfiner/bosch", "kernel_id": "99522"}, {"ref": "uwedick/optimizing-probabilities-for-best-mcc", "kernel_id": "98672"}, {"ref": "jayaeu/notebookc1efd7cda9", "kernel_id": "101671"}, {"ref": "paurabassa/mypyscript", "kernel_id": "100718"}, {"ref": "joermungandr/notebook2d3d198e50", "kernel_id": "95564"}, {"ref": "danaugrs/categorical-column-types", "kernel_id": "103592"}, {"ref": "dingran/notebookdc9ba36284", "kernel_id": "113864"}, {"ref": "sandystep/date-exploration-6min-0-01", "kernel_id": "100799"}, {"ref": "shawnxiang/python-xgboost-starter-0-209-public-mcc", "kernel_id": "109846"}, {"ref": "chambox/creating-paths", "kernel_id": "100762"}, {"ref": "vanausloos/69-failure-rate", "kernel_id": "109591"}, {"ref": "gblin5566/notebookfccbb4078b", "kernel_id": "105281"}, {"ref": "zahid1/python-xgboost-starter-0-209-public-mcc-590668ac", "kernel_id": "98933"}, {"ref": "zahid1/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98375"}, {"ref": "liam21c/notebook3efdf7605d", "kernel_id": "107910"}, {"ref": "shagog/notebookc747f86ebf", "kernel_id": "97996"}, {"ref": "shagog/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98025"}, {"ref": "janosk21/find-duplicated-columns-with-digest", "kernel_id": "113026"}, {"ref": "kuttet/shopfloor-visualization-2-0", "kernel_id": "193183"}, {"ref": "us3819/python-xgboost-starter-0-209-public-mcc", "kernel_id": "101412"}, {"ref": "chen91/tryinp", "kernel_id": "107408"}, {"ref": "monicab/r-implementation-of-mcc-optimization", "kernel_id": "99698"}, {"ref": "kaushikchowdhury/notebookede8530105", "kernel_id": "105279"}, {"ref": "antediemterzium/optimizing-probabilities-for-best-mcc", "kernel_id": "95713"}, {"ref": "zehanzhang/magic-feature-visualization", "kernel_id": "107569"}, {"ref": "dineshlal/notebook59910c82e4", "kernel_id": "99607"}, {"ref": "maxcon/bish-bash-xgboost", "kernel_id": "96857"}, {"ref": "dylndub/shopfloor-visualization-2-0", "kernel_id": "115182"}, {"ref": "zhouhao/notebook9853580f34", "kernel_id": "99531"}, {"ref": "zhouhao/notebookd67392d0db", "kernel_id": "99504"}, {"ref": "jjford3/notebookd8f6cc51dd", "kernel_id": "106844"}, {"ref": "albertore/notebookcb668be616", "kernel_id": "102049"}, {"ref": "wacholderbeere/python-xgboost-starter-0-209-public-mcc", "kernel_id": "114935"}, {"ref": "spatur/notebook65f93377b0", "kernel_id": "108467"}, {"ref": "miguel2523/python-xgboost-starter-0-209-public-mcc", "kernel_id": "101461"}, {"ref": "ragu26/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99395"}, {"ref": "iamycd/python-xgboost-starter-0-209-public-mcc", "kernel_id": "111392"}, {"ref": "iamycd/python-xgboost-starter-0-209-public-mcc-e54e2a6d", "kernel_id": "112083"}, {"ref": "behrang/leaky-36-in-r", "kernel_id": "104578"}, {"ref": "jdasari/what-s-wrong-with-station-32", "kernel_id": "102786"}, {"ref": "lancerts/11010101", "kernel_id": "106597"}, {"ref": "danfile/notebook3aeafa51e5", "kernel_id": "98341"}, {"ref": "jedisom/test1", "kernel_id": "110424"}, {"ref": "kilojoules/python-xgboost-starter-0-209-public-mcc", "kernel_id": "101273"}, {"ref": "kilojoules/what-s-wrong-with-station-32", "kernel_id": "100828"}, {"ref": "kilojoules/date-exploration-6min-0-01", "kernel_id": "100856"}, {"ref": "cagbal/python-xgboost-starter-0-209-public-mcc-07a1d79b", "kernel_id": "99499"}, {"ref": "cagbal/python-xgboost-starter-0-209-public-mcc-05387f6e", "kernel_id": "99446"}, {"ref": "cagbal/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98828"}, {"ref": "arcluke/date-exploration-6min-0-01", "kernel_id": "100595"}, {"ref": "tzomas/notebook5c8a9e4ce5", "kernel_id": "97123"}, {"ref": "vlassarev/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99237"}, {"ref": "glebvasiliev/bish-bash-xgboost-rajiv", "kernel_id": "99317"}, {"ref": "sionek/failure-rate", "kernel_id": "99833"}, {"ref": "sionek/newscr-y", "kernel_id": "114644"}, {"ref": "sionek/newscr-z", "kernel_id": "114650"}, {"ref": "yoyocm/bosh-production-line-exploration", "kernel_id": "105977"}, {"ref": "jpmiller/flowpath-viz", "kernel_id": "95492"}, {"ref": "nooodles/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99781"}, {"ref": "nooodles/python-xgboost-starter-0-209-public-mcc-39a94b8d", "kernel_id": "99790"}, {"ref": "hmahmud/notebook897657ed01", "kernel_id": "97862"}, {"ref": "ranarag/notebook57ca0fac39", "kernel_id": "106227"}, {"ref": "neversleep/notebook548ea06de5", "kernel_id": "109677"}, {"ref": "neversleep/notebook6689882655", "kernel_id": "111978"}, {"ref": "telescopeuser/date-exploration-6min-0-01", "kernel_id": "99820"}, {"ref": "pnajit/notebookffcbedad87", "kernel_id": "160966"}, {"ref": "iabrady/what-s-wrong-with-station-32", "kernel_id": "99788"}, {"ref": "davidtorresp5/notebook3a7aacf20c", "kernel_id": "100711"}, {"ref": "tarunparmar/newscr", "kernel_id": "113132"}, {"ref": "tarunparmar/bos-ch-ewbaccaa", "kernel_id": "113125"}, {"ref": "jerhayes/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98759"}, {"ref": "sandeepmedury/notebook6c35540d10", "kernel_id": "96214"}, {"ref": "raghavender/trial1", "kernel_id": "107217"}, {"ref": "raghavender/trial", "kernel_id": "106926"}, {"ref": "raghavender/test-1", "kernel_id": "106932"}, {"ref": "raghavender/abcded", "kernel_id": "110418"}, {"ref": "attila007/bish-bash-xgboost", "kernel_id": "99084"}, {"ref": "attila007/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99086"}, {"ref": "uyuutosa/date-exploration-6min-0-01", "kernel_id": "186721"}, {"ref": "jaolguin/notebookacb296c306", "kernel_id": "107383"}, {"ref": "vishallakha/bos-ch-ewbaccaa", "kernel_id": "99416"}, {"ref": "ramankaggle/magic-feature-visualization", "kernel_id": "104954"}, {"ref": "subhasishsahu22/productionperformanceindicator", "kernel_id": "105746"}, {"ref": "sr71nighthawk/notebook3736704287", "kernel_id": "106735"}, {"ref": "sr71nighthawk/notebook1f43e88be7", "kernel_id": "106420"}, {"ref": "asastre/notebooka0be14ad7b", "kernel_id": "103228"}, {"ref": "chuajiesheng/notebook56e4887769", "kernel_id": "99484"}, {"ref": "happycube/scirpus-extreme-bayes-faron-36312", "kernel_id": "103398"}, {"ref": "wordsforthewise/python-xgboost-starter-0-209-public-mcc-11e6f92d", "kernel_id": "100317"}, {"ref": "wordsforthewise/messed-up-fork-why-can-t-i-delete-it", "kernel_id": "100302"}, {"ref": "wordsforthewise/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99921"}, {"ref": "truonghai001/dataset-preprocessing", "kernel_id": "102180"}, {"ref": "agavranis/test-loo", "kernel_id": "106326"}, {"ref": "agavranis/andre-test", "kernel_id": "105995"}, {"ref": "agavranis/combine", "kernel_id": "103624"}, {"ref": "agavranis/bish-bash-xgboost", "kernel_id": "98961"}, {"ref": "pallavikhedekar/try12", "kernel_id": "215580"}, {"ref": "tamwill/python-xgboost-starter-0-209-public-mcc", "kernel_id": "103088"}, {"ref": "sandeep30790/leaky-36-in-r", "kernel_id": "113688"}, {"ref": "zahraf/notebook062696c012", "kernel_id": "106979"}, {"ref": "bavarianquant/optimizing-probabilities-for-best-mcc", "kernel_id": "109128"}, {"ref": "apapiu/notebook-12", "kernel_id": "103319"}, {"ref": "eshine123/shopfloor-visualization", "kernel_id": "108946"}, {"ref": "joconnor/python-xgboost-starter-0-209-public-mcc", "kernel_id": "97203"}, {"ref": "qazqwezxc/python-xgboost-starter-0-209-public-mcc", "kernel_id": "102104"}, {"ref": "phansoks/first-test", "kernel_id": "116138"}, {"ref": "hongguangguo/python-xgboost-starter-0-209-public-mcc", "kernel_id": "103850"}, {"ref": "brassmonkey381/notebook78c0af2626", "kernel_id": "101068"}, {"ref": "brassmonkey381/reading-rows-test", "kernel_id": "98718"}, {"ref": "brassmonkey381/asdzxc", "kernel_id": "98627"}, {"ref": "brassmonkey381/flowpath-vizzy", "kernel_id": "98388"}, {"ref": "brassmonkey381/flowpath-viz", "kernel_id": "98385"}, {"ref": "kaigeyang/notebook9fc8de3328", "kernel_id": "160848"}, {"ref": "kaigeyang/magic-feature-visualization", "kernel_id": "160808"}, {"ref": "jj1990/shopfloor-visualization", "kernel_id": "110050"}, {"ref": "omarabdeldayem/python-xgboost-starter-0-209-public-mcc", "kernel_id": "100005"}, {"ref": "maddynit/bmnmnmn", "kernel_id": "96824"}, {"ref": "melghazali/notebooka89bad335d", "kernel_id": "107504"}, {"ref": "lifepreserver/notebookb62162a430", "kernel_id": "102470"}, {"ref": "u5015159/notebook94ddd5f2f9", "kernel_id": "98137"}, {"ref": "hamza24/notebookab2f7e2289", "kernel_id": "99211"}, {"ref": "breakhearts/scirpus-extreme-bayes-faron-382", "kernel_id": "108263"}, {"ref": "ksaltsoy/notebook0f3348dd03", "kernel_id": "103898"}, {"ref": "ksaltsoy/notebookd6cd1c6586", "kernel_id": "99017"}, {"ref": "kuanyuchen/notebooka3cdb9891b", "kernel_id": "97998"}, {"ref": "kuanyuchen/notebook1da7457872", "kernel_id": "98647"}, {"ref": "awangntu/notebook029fcbe806", "kernel_id": "103462"}, {"ref": "andreaslup/python-xgboost-starter-0-209-public-mcc", "kernel_id": "108575"}, {"ref": "rshpeley/test-notebook", "kernel_id": "96777"}, {"ref": "raphae/notebook77ad3778b3", "kernel_id": "101402"}, {"ref": "jhwarren/notebook58edcbd227", "kernel_id": "95486"}, {"ref": "arthurvive/notebook85a85ecb99", "kernel_id": "106334"}, {"ref": "fwbraffett/shopfloor-visualization", "kernel_id": "104475"}, {"ref": "josh1993/notebookda41b581ca", "kernel_id": "96594"}, {"ref": "ma123shuai/notebook9d2884400f", "kernel_id": "97561"}, {"ref": "zonemercy/date-exploration-6min-0-01", "kernel_id": "101888"}, {"ref": "zonemercy/looking-at-categorical-data", "kernel_id": "100675"}, {"ref": "zonemercy/eda-of-important-features", "kernel_id": "100910"}, {"ref": "chaussette/printtt", "kernel_id": "103633"}, {"ref": "tomoiwaruha/notebookc4e12ff098", "kernel_id": "98498"}, {"ref": "rajiv13531/notebook49a5e6d648", "kernel_id": "103293"}, {"ref": "rajiv13531/mmmmm", "kernel_id": "103295"}, {"ref": "leochu/notebook56387fa1e1", "kernel_id": "103750"}, {"ref": "leeguoo/notebookabacd8e523", "kernel_id": "116189"}, {"ref": "rithal/magic-feature-visualization", "kernel_id": "103662"}, {"ref": "rithal/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98312"}, {"ref": "rithal/python-xgboost-starter-0-209-public-mcc-9e60957f", "kernel_id": "98313"}, {"ref": "bankhv/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99375"}, {"ref": "bankhv/python-xgboost-starter-0-209-public-mcc-trial", "kernel_id": "99543"}, {"ref": "maimagdi/69-failure-rate", "kernel_id": "121690"}, {"ref": "maimagdi/python-xgboost-starter-0-209-public-mcc", "kernel_id": "219591"}, {"ref": "ashwinikmr/bosch-test1", "kernel_id": "196644"}, {"ref": "mangalanks/what-s-wrong-with-station-32", "kernel_id": "101090"}, {"ref": "mangalanks/explore-the-train-data-footprint", "kernel_id": "100785"}, {"ref": "mangalanks/date-exploration-6min-0-01", "kernel_id": "100795"}, {"ref": "mangalanks/explore-the-train-data-footprint-db61120a", "kernel_id": "172902"}, {"ref": "pankajvshrma/explore-the-train-data-footprint", "kernel_id": "100157"}, {"ref": "pankajvshrma/notebook4b68946b56", "kernel_id": "97895"}, {"ref": "imadking/notebookf5d00d2da1", "kernel_id": "106315"}, {"ref": "notaapple/notebook21ac6545d3", "kernel_id": "109447"}, {"ref": "youdzi/notebookb993a7d039", "kernel_id": "95749"}, {"ref": "apurveyajnik/looking-at-categorical-data", "kernel_id": "102292"}, {"ref": "youshu/notebookf783168dfc", "kernel_id": "107177"}, {"ref": "massimilianom/shopfloor-visualization", "kernel_id": "103004"}, {"ref": "memery44/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98593"}, {"ref": "masoudkaviani/python-xgboost-starter-0-209-public-mcc-2f8c9d03", "kernel_id": "101467"}, {"ref": "masoudkaviani/python-xgboost-starter-0-209-public-mcc-322df6da", "kernel_id": "101704"}, {"ref": "masoudkaviani/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99922"}, {"ref": "jefferydata/notebooka27a94249b", "kernel_id": "108376"}, {"ref": "jefferydata/notebook66dc1c4d27", "kernel_id": "100137"}, {"ref": "imathur94/notebookac57f71bc0", "kernel_id": "109634"}, {"ref": "ecow1338/notebook4e7ed5ec66", "kernel_id": "99596"}, {"ref": "anneliesvroman/first-try", "kernel_id": "100615"}, {"ref": "anneliesvroman/first-test", "kernel_id": "100617"}, {"ref": "sjoly123/test1", "kernel_id": "99662"}, {"ref": "augustusmyc/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98163"}, {"ref": "arnovkumar/xgboost-approach", "kernel_id": "107162"}, {"ref": "arnovkumar/notebookaab6055074", "kernel_id": "107191"}, {"ref": "kaggleshi/python-xgboost-starter-0-209-public-mcc", "kernel_id": "123351"}, {"ref": "kaggleshi/python-xgboost-starter-0-209-public-mcc-8a6d103b", "kernel_id": "124691"}, {"ref": "mcafee/dask-test", "kernel_id": "104686"}, {"ref": "rizkashifs/explore", "kernel_id": "102487"}, {"ref": "jkoerner/notebooka0984f5061", "kernel_id": "105025"}, {"ref": "nimishk/notebook2d13e7bf05", "kernel_id": "105661"}, {"ref": "ujjwalshridhar/notebook0ead0c34f5", "kernel_id": "102667"}, {"ref": "rdslater/looking-at-categorical-data", "kernel_id": "100283"}, {"ref": "szelvenskiy/date-exploration-6min-0-01", "kernel_id": "110112"}, {"ref": "peshon/road-2-0-4", "kernel_id": "105289"}, {"ref": "ivovkanych/notebooke0cbb0f7a4", "kernel_id": "101917"}, {"ref": "adatikus/notebook6e37edfb18", "kernel_id": "99045"}, {"ref": "hingneabhishek/scirpus-extreme-bayes-faron-36312", "kernel_id": "103548"}, {"ref": "woxmusic/notebook3e2d2738b4", "kernel_id": "98882"}, {"ref": "luke035/notebook52eee66dc9", "kernel_id": "109624"}, {"ref": "charlesp/numerical-feature-density-anomaly-detection", "kernel_id": "96731"}, {"ref": "dollardollar/eda-of-important-features", "kernel_id": "95914"}, {"ref": "fxarte/using-sklearn-gridsearchcv-numeric-only", "kernel_id": "106994"}, {"ref": "fxarte/out-of-core-approach", "kernel_id": "107011"}, {"ref": "leexiongan/dimentionality-reduction-svd-in-batch", "kernel_id": "98776"}, {"ref": "pkrisz5/notebook756fc56cf8", "kernel_id": "96059"}, {"ref": "fiberleif/notebook749155d842", "kernel_id": "95985"}, {"ref": "dandoesdata/notebook506e825245", "kernel_id": "168219"}, {"ref": "akashlal12/magic-feature-visualization-9578ed51", "kernel_id": "106016"}, {"ref": "myeongsang/notebook0fa4ca9a9e", "kernel_id": "130972"}, {"ref": "sthuber/road-2-0-4-featureset", "kernel_id": "103564"}, {"ref": "anokas/columns", "kernel_id": "99693"}, {"ref": "anokas/notebook01789166cc", "kernel_id": "98085"}, {"ref": "oliviergabriel/python-xgboost-starter-0-209-public-mcc", "kernel_id": "115798"}, {"ref": "rlovelett/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98321"}, {"ref": "danielyuwen/notebook17f9b5c395", "kernel_id": "111577"}, {"ref": "sharmaparth17/bosch-parth", "kernel_id": "98278"}, {"ref": "sharmaparth17/notebook2815563d77", "kernel_id": "98283"}, {"ref": "sharmaparth17/notebook6033a01221", "kernel_id": "100747"}, {"ref": "gameboy4393/notebookbf26b687bd", "kernel_id": "107999"}, {"ref": "sarame/notebook55b0447372", "kernel_id": "102638"}, {"ref": "fnayou/notebookd96fc2d577", "kernel_id": "106667"}, {"ref": "stormymonday/notebookdbfce54b95", "kernel_id": "105177"}, {"ref": "hswater1/looking-at-categorical-data", "kernel_id": "111759"}, {"ref": "jdurago/notebook6769fe663f", "kernel_id": "99546"}, {"ref": "vuongj/python-xgboost-starter-0-209-public-mcc", "kernel_id": "102544"}, {"ref": "spiritbrave/notebookbade9ae948", "kernel_id": "96492"}, {"ref": "laurae2/what-s-in-the-kaggle-docker", "kernel_id": "95458"}, {"ref": "laurae2/sparse-matrix-with-explicit-zeroes", "kernel_id": "95561"}, {"ref": "laurae2/notebookf897691e6a", "kernel_id": "98238"}, {"ref": "laurae2/testing", "kernel_id": "98976"}, {"ref": "laurae2/r-implementation-of-mcc-optimization-from-rohan", "kernel_id": "99217"}, {"ref": "laurae2/wtf-is-this-0-4-doing", "kernel_id": "103314"}, {"ref": "ankush56k/first-script", "kernel_id": "107892"}, {"ref": "wangjiahong666/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98858"}, {"ref": "tetra00/69-failure-rate", "kernel_id": "106165"}, {"ref": "manojsukhavasi/road-2-0-4", "kernel_id": "108373"}, {"ref": "manojsukhavasi/sample-1", "kernel_id": "108379"}, {"ref": "initial0626/notebook89243a0c38", "kernel_id": "166324"}, {"ref": "aagundez/notebookb03866753b", "kernel_id": "105140"}, {"ref": "aagundez/data-exploration", "kernel_id": "102145"}, {"ref": "aagundez/notebookf76278cffd", "kernel_id": "98889"}, {"ref": "amizhchandra/notebook71518344f6", "kernel_id": "106744"}, {"ref": "biwangg/notebook13e72fe879", "kernel_id": "112760"}, {"ref": "paultodo/eda-of-important-features", "kernel_id": "96905"}, {"ref": "baltanas/nuevo-nombre", "kernel_id": "108687"}, {"ref": "baltanas/notebooka3a82947e3", "kernel_id": "108693"}, {"ref": "archit2510/eda-of-important-features", "kernel_id": "149659"}, {"ref": "meryemschalck/python-xgboost-starter-0-209-public-mcc", "kernel_id": "260407"}, {"ref": "kumarsh8483/notebookdfb0f6108d", "kernel_id": "102475"}, {"ref": "kumarsh8483/looking-at-categorical-data-5f258642", "kernel_id": "102725"}, {"ref": "kumarsh8483/looking-at-categorical-data", "kernel_id": "102299"}, {"ref": "jane522/notebook3ff1270b93", "kernel_id": "109611"}, {"ref": "sunlchk/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98480"}, {"ref": "ccourtot/notebookaef9071621", "kernel_id": "101429"}, {"ref": "cdamp350/notebook1b80ae8ff4", "kernel_id": "101524"}, {"ref": "cdamp350/notebookd3a273be15", "kernel_id": "101320"}, {"ref": "cdamp350/fork-of-notebook65485ff7b8", "kernel_id": "101994"}, {"ref": "cdamp350/two-questions-about-the-date-file", "kernel_id": "101979"}, {"ref": "ciciwu22/testt", "kernel_id": "107406"}, {"ref": "abelarregui/script-de-prueba", "kernel_id": "98544"}, {"ref": "abelarregui/script-de-prueba2", "kernel_id": "98546"}, {"ref": "abelarregui/notebookca1bd7996a", "kernel_id": "98539"}, {"ref": "abelarregui/notebook4583df258b", "kernel_id": "98548"}, {"ref": "abelarregui/notebook29e4d2c38f", "kernel_id": "97115"}, {"ref": "pokutnik/notebook88cc45e1dc", "kernel_id": "96386"}, {"ref": "jeffog/notebook91b4aa0278", "kernel_id": "108740"}, {"ref": "francescobonazzi/eda-of-important-features", "kernel_id": "98721"}, {"ref": "jihyeseo/bosch-perform-eda", "kernel_id": "958195"}, {"ref": "mohitsewak/ms-111", "kernel_id": "95640"}, {"ref": "rubikr/notebookc8f79b770b", "kernel_id": "100666"}, {"ref": "chrisbarnes19/python-xgboost-starter-0-209-public-mcc", "kernel_id": "109110"}, {"ref": "chrisbarnes19/notebooked470b6330", "kernel_id": "109092"}, {"ref": "zhhtc200/notebook3e000004dc", "kernel_id": "98021"}, {"ref": "geelin/date-exploration-6min-0-01", "kernel_id": "101336"}, {"ref": "xelid1/richard", "kernel_id": "98736"}, {"ref": "chaos33/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99424"}, {"ref": "kensai/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99759"}, {"ref": "pratikwarade/shopfloor-visualization", "kernel_id": "129004"}, {"ref": "kaelchan/notebook0fd0e52e04", "kernel_id": "107825"}, {"ref": "kaelchan/notebook02e143d315", "kernel_id": "98348"}, {"ref": "jinmm1992/date-exploration-6min-0-01", "kernel_id": "101689"}, {"ref": "jinmm1992/python-xgboost-starter-0-209-public-mcc-3a101b7f", "kernel_id": "112283"}, {"ref": "dhamo1/notebookd47fa52d76", "kernel_id": "99366"}, {"ref": "tracychen/date-exploration-6min-0-01", "kernel_id": "120924"}, {"ref": "rusalmighty/notebook5dd57d647b", "kernel_id": "108681"}, {"ref": "rivenhart/testnotebook", "kernel_id": "95475"}, {"ref": "youngkil9999/notebook8365c47cb6", "kernel_id": "100536"}, {"ref": "jsnoke/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99985"}, {"ref": "shenc3/optimizing-probabilities-for-best-mcc", "kernel_id": "96802"}, {"ref": "sirdavidal/notebook2730f37a9d", "kernel_id": "106309"}, {"ref": "blueice/notebook4ea63b7b03", "kernel_id": "97694"}, {"ref": "jmittendorfer/testing", "kernel_id": "101196"}, {"ref": "clarkzhao/notebook50deec5482", "kernel_id": "105666"}, {"ref": "clarkzhao/notebook48aa06ebac", "kernel_id": "105671"}, {"ref": "kbl4ew/shopfloor-visualization", "kernel_id": "106261"}, {"ref": "omgann/optimizing-probabilities-for-best-mcc", "kernel_id": "103488"}, {"ref": "om1042/date-exploration-6min-0-01", "kernel_id": "100196"}, {"ref": "crownpku/python-xgboost-starter-0-209-public-mcc-trial", "kernel_id": "99192"}, {"ref": "crownpku/python-xgboost-starter-0-209-public-mcc-40a8aa70", "kernel_id": "99124"}, {"ref": "crownpku/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98679"}, {"ref": "shahil93/bosch1", "kernel_id": "97146"}, {"ref": "shixw125/notebooka508e7d104", "kernel_id": "96938"}, {"ref": "sharkgo/notebook678404298d", "kernel_id": "97341"}, {"ref": "sharkgo/notebook3e0d62f1b2", "kernel_id": "100881"}, {"ref": "joecmama/what-s-wrong-with-station-32", "kernel_id": "101132"}, {"ref": "skandiujm/test-variables", "kernel_id": "115985"}, {"ref": "hoteimat/notebook0a12242e41", "kernel_id": "99125"}, {"ref": "hoteimat/any-script", "kernel_id": "99126"}, {"ref": "hoteimat/bish-bash-xgboost-with-categorical-predictors", "kernel_id": "99451"}, {"ref": "tangweipku/loo-template-for-low-memory", "kernel_id": "107754"}, {"ref": "pjberkman/bosch-script1", "kernel_id": "103813"}, {"ref": "chridam/road-2-0-4", "kernel_id": "103791"}, {"ref": "chridam/road-2-0-4-fork", "kernel_id": "109134"}, {"ref": "andreseliot/xgboost", "kernel_id": "97368"}, {"ref": "andreseliot/notebookd16e2c7cc8", "kernel_id": "97238"}, {"ref": "andreseliot/remove-unused-columns", "kernel_id": "97879"}, {"ref": "andreseliot/remove-unused-colums", "kernel_id": "98093"}, {"ref": "andreseliot/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98719"}, {"ref": "andreseliot/notebook30e9473c5c", "kernel_id": "100893"}, {"ref": "zhomayo/notebook00d1b1dbc6", "kernel_id": "99547"}, {"ref": "zhomayo/69-failure-rate", "kernel_id": "120819"}, {"ref": "gurpreet24/python-xgboost-starter-0-209-public-mcc", "kernel_id": "101577"}, {"ref": "miaomiao1203/notebookc415ba3f39", "kernel_id": "95437"}, {"ref": "miaomiao1203/notebook1d7ab480d3", "kernel_id": "95448"}, {"ref": "sergeev/notebook4ad98f26d2", "kernel_id": "98829"}, {"ref": "sergeev/explore-the-train-data-footprint", "kernel_id": "98840"}, {"ref": "sjsingh/python-xgboost-starter-0-209-public-mcc-844c7f9f", "kernel_id": "101560"}, {"ref": "sjsingh/python-xgboost-starter-0-209-public-mcc", "kernel_id": "100834"}, {"ref": "itsmeumesh/notebookb2c21b357a", "kernel_id": "102499"}, {"ref": "itsmeumesh/baush-predict1", "kernel_id": "97671"}, {"ref": "itsmeumesh/notebook35d9e0b466", "kernel_id": "101899"}, {"ref": "itsmeumesh/notebook1bb639fb4a", "kernel_id": "101928"}, {"ref": "savostinkaggle/notebookf3643aeccc", "kernel_id": "99949"}, {"ref": "fyuanfen/date-exploration-6min-0-01", "kernel_id": "103683"}, {"ref": "takayuki1127/notebookbf0eab7f64", "kernel_id": "111106"}, {"ref": "jasonzeng/numerical-feature-density-anomaly-detection", "kernel_id": "98432"}, {"ref": "yournote/what-s-wrong-with-station-32", "kernel_id": "99670"}, {"ref": "ryancaldwell/notebook59e663b830", "kernel_id": "106527"}, {"ref": "cwaring/analysis-of-part-path-for-train-numeric", "kernel_id": "99300"}, {"ref": "cwaring/notebook6c7bcd2a76", "kernel_id": "100013"}, {"ref": "cwaring/bosch-limited-selected-features-lb-0-24", "kernel_id": "99997"}, {"ref": "cwaring/notebook7df18927d2", "kernel_id": "103877"}, {"ref": "zjscnovo/what-s-wrong-with-station-32", "kernel_id": "101422"}, {"ref": "zjscnovo/18-failure-rate", "kernel_id": "101434"}, {"ref": "zjscnovo/18-failure-rate-9ae25154", "kernel_id": "101453"}, {"ref": "zjscnovo/optimizing-probabilities-for-best-mcc-ccfb1325", "kernel_id": "100158"}, {"ref": "zjscnovo/optimizing-probabilities-for-best-mcc", "kernel_id": "99625"}, {"ref": "zjscnovo/python-xgboost-starter-0-209-public-mcc", "kernel_id": "97883"}, {"ref": "zjscnovo/69-failure-rate", "kernel_id": "106914"}, {"ref": "pcthejaswi/notebooka1ca621792", "kernel_id": "104103"}, {"ref": "pieterjanferny/notebook4e87fda693", "kernel_id": "111109"}, {"ref": "ssu008/magic-feature-visualization", "kernel_id": "112312"}, {"ref": "ssu008/network-x-flows", "kernel_id": "112649"}, {"ref": "ssu008/shopfloor-visualization-2-0", "kernel_id": "115373"}, {"ref": "nikhils/nklscript", "kernel_id": "97423"}, {"ref": "nikhils/notebookd1b5bf4cad", "kernel_id": "95510"}, {"ref": "dragonfly90217/leaky-36-in-r", "kernel_id": "115894"}, {"ref": "tetevi/notebooke09d660fba", "kernel_id": "98129"}, {"ref": "tetevi/notebook635ab2e985", "kernel_id": "97478"}, {"ref": "qbold3/notebooke726df6529", "kernel_id": "101481"}, {"ref": "qbold3/notebook2da3c7cb97", "kernel_id": "101482"}, {"ref": "joostgp/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98940"}, {"ref": "joostgp/notebook-12", "kernel_id": "103359"}, {"ref": "joostgp/notebook-12-5843f08b", "kernel_id": "103367"}, {"ref": "csyhuang/date-exploration-6min-0-01", "kernel_id": "101809"}, {"ref": "csyhuang/looking-at-categorical-data", "kernel_id": "101817"}, {"ref": "divnull/notebook3eb13dd002", "kernel_id": "96654"}, {"ref": "mpslxz/notebooka473f98d74", "kernel_id": "101150"}, {"ref": "amanrana20/test-1", "kernel_id": "98999"}, {"ref": "tekkrr/shopfloor-visualization", "kernel_id": "106901"}, {"ref": "ayushnietian/notebook01e30be608", "kernel_id": "97894"}, {"ref": "akadam/notebookced0286fa1", "kernel_id": "98847"}, {"ref": "jasonhan/what-s-wrong-with-station-32", "kernel_id": "105325"}, {"ref": "khoaipx/notebookd75588727e", "kernel_id": "96191"}, {"ref": "jondowning/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99617"}, {"ref": "ghassan/notebookedfbfefe45", "kernel_id": "102704"}, {"ref": "jeffd23/what-s-wrong-with-station-32", "kernel_id": "99050"}, {"ref": "kimkipyo/notebook925ec612e5", "kernel_id": "109167"}, {"ref": "frankhy/python-xgboost-starter-0-209-public-mcc", "kernel_id": "99388"}, {"ref": "srinivaschakravarthi/notebook4af6698aed", "kernel_id": "201353"}, {"ref": "anthonytyng/date-exploration-6min-0-01", "kernel_id": "100335"}, {"ref": "stinkytofu/test1", "kernel_id": "105542"}, {"ref": "clr717/notebook0ea92381c4", "kernel_id": "98373"}, {"ref": "zhangrong/date-exploration-6min-0-01", "kernel_id": "100087"}, {"ref": "noronha1978/bosch-2016-script", "kernel_id": "173604"}, {"ref": "xhuang25/eda-of-important-features", "kernel_id": "97531"}, {"ref": "xhuang25/notebookbfbda8fc18", "kernel_id": "108825"}, {"ref": "suhasvaitla/notebook0983c956ee", "kernel_id": "97865"}, {"ref": "fredtony/optimizing-probabilities-for-best-mcc", "kernel_id": "111967"}, {"ref": "fredtony/date-exploration-6min-0-01", "kernel_id": "99900"}, {"ref": "fredtony/date-exploration-6min-0-01-6f089910", "kernel_id": "100224"}, {"ref": "splendidbird/python-xgboost-starter-0-209-public-mcc", "kernel_id": "101355"}, {"ref": "flytosky/eda-of-important-features", "kernel_id": "97591"}, {"ref": "flytosky/bosch", "kernel_id": "95660"}, {"ref": "flytosky/megatron", "kernel_id": "95678"}, {"ref": "flytosky/looking-at-categorical-data", "kernel_id": "102870"}, {"ref": "flytosky/road-2-0-4", "kernel_id": "105885"}, {"ref": "surag0107/notebookb77982c5ba", "kernel_id": "98534"}, {"ref": "agalea91/numerical-feature-density-anomaly-detection", "kernel_id": "96298"}, {"ref": "agalea91/mcc-scoring-metric-python-function", "kernel_id": "96331"}, {"ref": "aatmopaw/analy", "kernel_id": "100121"}, {"ref": "adityakumarsinha/loo-template-for-low-memory", "kernel_id": "100997"}, {"ref": "angelmm/bosch-numeric", "kernel_id": "101211"}, {"ref": "wickywwz/notebookab3d008668", "kernel_id": "113154"}, {"ref": "wickywwz/notebook4858f56f94", "kernel_id": "112951"}, {"ref": "gchahine/notebook432d9dbd50", "kernel_id": "100044"}, {"ref": "piercingdan/date-exploration-6min-0-01", "kernel_id": "101123"}, {"ref": "sharmasanthosh/eda-of-important-features", "kernel_id": "96506"}, {"ref": "sharmasanthosh/notebook13f561b1be", "kernel_id": "96788"}, {"ref": "billxzf/notebook6d63570c5d", "kernel_id": "97298"}, {"ref": "hczxwyx/notebookaaa0092a87", "kernel_id": "114310"}, {"ref": "garcia274/check-versions", "kernel_id": "98071"}, {"ref": "garcia274/loo-template-for-low-memory-take2", "kernel_id": "101521"}, {"ref": "garcia274/newscr", "kernel_id": "112829"}, {"ref": "xingobar/notebookb58c96a139", "kernel_id": "99886"}, {"ref": "teapark/notebook6f6c5915a9", "kernel_id": "97036"}, {"ref": "th3o6a1d/notebook6abb36dee1", "kernel_id": "100735"}, {"ref": "th3o6a1d/python-xgboost-starter-0-209-public-mcc", "kernel_id": "103306"}, {"ref": "rahenri/corr-view", "kernel_id": "101785"}, {"ref": "echochen/notebook47cfd72491", "kernel_id": "108258"}, {"ref": "veekeay/shopfloor-visualization-e39789b3", "kernel_id": "107117"}, {"ref": "sheallika/errors-in-sequence", "kernel_id": "142591"}, {"ref": "sheallika/eda-of-important-features", "kernel_id": "142596"}, {"ref": "alijs1/scirpus-extreme-bayes-faron-jaya", "kernel_id": "105600"}, {"ref": "remibhai/explore", "kernel_id": "108583"}, {"ref": "mymkyt/notebook9ca5a108fe", "kernel_id": "119534"}, {"ref": "jimyunwa/python-xgboost", "kernel_id": "97777"}, {"ref": "jimyunwa/jimmy-s-test-bed", "kernel_id": "95449"}, {"ref": "satishtyagi/date-exploration-timestamp-units-10-hrs", "kernel_id": "183120"}, {"ref": "daleadkins99/notebookda5152df2a", "kernel_id": "116120"}, {"ref": "erguzman/test1", "kernel_id": "112840"}, {"ref": "db1182/first-try", "kernel_id": "96751"}, {"ref": "scp173/my-test", "kernel_id": "102815"}, {"ref": "vladimirp/notebookbdcd03282c", "kernel_id": "96619"}, {"ref": "shridhar1991/r-implementation-of-mcc-optimization", "kernel_id": "99137"}, {"ref": "ylx1217/notebook0dd696e054", "kernel_id": "103273"}, {"ref": "alavi1395/endtest", "kernel_id": "116033"}, {"ref": "alavi1395/loo-template-for-low-memory", "kernel_id": "102872"}, {"ref": "alavi1395/date-exploration-6min-0-01-aca85b7f", "kernel_id": "102861"}, {"ref": "alavi1395/date-exploration-6min-0-01", "kernel_id": "102845"}, {"ref": "alavi1395/date-exploration-6min-0-01-1e4379fd", "kernel_id": "104213"}, {"ref": "alavi1395/magic-feature-visualization", "kernel_id": "103723"}, {"ref": "kostyabahshetsyan/test-simple-xgboost", "kernel_id": "97204"}, {"ref": "adityas/notebookebf31720e7", "kernel_id": "100865"}, {"ref": "mawiest/notebookb021874659", "kernel_id": "95483"}, {"ref": "liamzheng0/date-exploration-6min-0-01", "kernel_id": "100170"}, {"ref": "fancyhelloworld/python-xgboost-starter-0-209-public-mcc", "kernel_id": "100324"}, {"ref": "sananth55/test-explore", "kernel_id": "100226"}, {"ref": "lorz3l/bosch-v0-2", "kernel_id": "98476"}, {"ref": "lorz3l/bosch-v0-3", "kernel_id": "98478"}, {"ref": "lorz3l/bosch-v0-4", "kernel_id": "98494"}, {"ref": "lorz3l/bosch-v0-1", "kernel_id": "98469"}, {"ref": "lorz3l/bosch-test-1", "kernel_id": "98462"}, {"ref": "lorz3l/test-bosch-200-000", "kernel_id": "97710"}, {"ref": "pranavmachingal/notebook80447ff008", "kernel_id": "127391"}, {"ref": "chazcv/notebookc5fd3e4d9f", "kernel_id": "96457"}, {"ref": "humchuckaninny/bosch-test-1", "kernel_id": "96455"}, {"ref": "humchuckaninny/notebook0f37b249b8", "kernel_id": "96472"}, {"ref": "humchuckaninny/notebook301c1d80ca", "kernel_id": "96474"}, {"ref": "humchuckaninny/notebookeddbf73d3f", "kernel_id": "96491"}, {"ref": "yongkai/notebookabe99eccae", "kernel_id": "100332"}, {"ref": "alioancea/notebook92c1d8010e", "kernel_id": "105057"}, {"ref": "zmykaggle/bosch", "kernel_id": "102448"}, {"ref": "zmykaggle/notebook7b605b7f57", "kernel_id": "102444"}, {"ref": "patipon/notebooka1b1154acf", "kernel_id": "219524"}, {"ref": "patipon/notebook76800e892e", "kernel_id": "219528"}, {"ref": "taiebtouati/notebook38dd43d081", "kernel_id": "106825"}, {"ref": "ssmeoz/ascsdsd", "kernel_id": "97530"}, {"ref": "mojtabaebrahimi85/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98447"}, {"ref": "mojtabaebrahimi85/notebook2740dfb58e", "kernel_id": "97131"}, {"ref": "mojtabaebrahimi85/notebook7f21059ad7", "kernel_id": "98003"}, {"ref": "mojtabaebrahimi85/notebookb44da32e9c", "kernel_id": "95551"}, {"ref": "mojtabaebrahimi85/notebook9a88c89361", "kernel_id": "101045"}, {"ref": "binilg/test-submission", "kernel_id": "97003"}, {"ref": "msaber/magic-feature-visualization", "kernel_id": "112053"}, {"ref": "almosthuman/data-discovery-intro", "kernel_id": "100987"}, {"ref": "almosthuman/data-discovery-intro-dd9c8f8f", "kernel_id": "101078"}, {"ref": "mayomayo/notebook6005baf194", "kernel_id": "104520"}, {"ref": "triparc/notebooka98a970c68", "kernel_id": "101118"}, {"ref": "holl42/notebook409f92fdcd", "kernel_id": "98455"}, {"ref": "holl42/notebook69ef4c3074", "kernel_id": "98614"}, {"ref": "shubhij/leaky-36-in-r", "kernel_id": "124306"}, {"ref": "shubhij/xgboost-reg-linear-lb-0-485", "kernel_id": "123898"}, {"ref": "shubhij/optimizing-probabilities-for-best-mcc", "kernel_id": "124520"}, {"ref": "shubhij/xgboost-shubhi", "kernel_id": "124431"}, {"ref": "alphasue/date-exploration-6min-0-01", "kernel_id": "102349"}, {"ref": "salkaa/69-failure-rate", "kernel_id": "105959"}, {"ref": "salkaa/magic-feature-visualization", "kernel_id": "105394"}, {"ref": "salkaa/notebook91c9b7253f", "kernel_id": "100193"}, {"ref": "salkaa/magic-feature-visualization-abc063ae", "kernel_id": "174337"}, {"ref": "salkaa/magic-feature-visualization-25537027", "kernel_id": "176393"}, {"ref": "salkaa/magic-feature-visualization-891d23af", "kernel_id": "175901"}, {"ref": "hannibalsb/notebookbd8ea00401", "kernel_id": "106122"}, {"ref": "yuanyuany/errors-in-sequence", "kernel_id": "104244"}, {"ref": "roggin/python-xgboost-starter-0-209-public-mcc-5f617c23", "kernel_id": "98818"}, {"ref": "roggin/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98410"}, {"ref": "roggin/what-s-wrong-with-station-32", "kernel_id": "99561"}, {"ref": "roggin/python-xgboost-starter-0-209-public-mcc-9586e449", "kernel_id": "99866"}, {"ref": "pinliuc/first-try", "kernel_id": "105198"}, {"ref": "pinliuc/notebookac9df000e1", "kernel_id": "105199"}, {"ref": "nkdxczh/test-py", "kernel_id": "98793"}, {"ref": "zhaozhiwei/notebook934e45ad43", "kernel_id": "98094"}, {"ref": "ingrid/date-exploration-6min-0-01", "kernel_id": "101431"}, {"ref": "jerrywu0904/notebooka388fc01ae", "kernel_id": "102143"}, {"ref": "jerrywu0904/notebookdfa9165fe6", "kernel_id": "101988"}, {"ref": "jerrywu0904/notebook6bca81cb0b", "kernel_id": "101990"}, {"ref": "jasonfung/road-2-0-4", "kernel_id": "104952"}, {"ref": "egdman/notebookfa87335060", "kernel_id": "104634"}, {"ref": "egdman/fail-rates-vs-flow-paths", "kernel_id": "105704"}, {"ref": "egdman/this-script-will-die", "kernel_id": "106640"}, {"ref": "egdman/notebookb696ba2ae1", "kernel_id": "106641"}, {"ref": "egdman/dividing-data-into-families", "kernel_id": "106634"}, {"ref": "egdman/dividing-examples-into-families", "kernel_id": "106624"}, {"ref": "egdman/dividing-data", "kernel_id": "106628"}, {"ref": "egdman/notebook7c909a5ca4", "kernel_id": "106629"}, {"ref": "egdman/compress-your-categorical-data-10-times", "kernel_id": "110205"}, {"ref": "egdman/notebookf2ddf9979c", "kernel_id": "110048"}, {"ref": "egdman/optimizing-probabilities-for-best-mcc-47f139c0", "kernel_id": "111169"}, {"ref": "egdman/optimizing-probabilities-for-best-mcc", "kernel_id": "111059"}, {"ref": "egdman/eda-of-important-features", "kernel_id": "111611"}, {"ref": "egdman/notebook01b5147280", "kernel_id": "100338"}, {"ref": "egdman/date-exploration-6min-0-01", "kernel_id": "99860"}, {"ref": "egdman/date-exploration-6min-0-01-f0e867e8", "kernel_id": "100154"}, {"ref": "ramakrse/shopfloor-visualization", "kernel_id": "106888"}, {"ref": "avikalb/notebooke1355cdcfe", "kernel_id": "105738"}, {"ref": "pankajagrawalla/notebook795e347149", "kernel_id": "100052"}, {"ref": "locojay/notebook4284c263ac", "kernel_id": "109597"}, {"ref": "ming64/match-features-with-date", "kernel_id": "95507"}, {"ref": "lazheng/notebook9919bd6b74", "kernel_id": "232523"}, {"ref": "lazheng/python-xgboost-starter-0-209-public-mcc-f22bdb", "kernel_id": "232525"}, {"ref": "eduardlopez/notebook8c0e53b2b1", "kernel_id": "99490"}, {"ref": "klyusba/magic-feature-visualization", "kernel_id": "105846"}, {"ref": "penulisbersiri/date-exploration-6min-0-01", "kernel_id": "99836"}, {"ref": "quadmx08/notebook869248db3a", "kernel_id": "95736"}, {"ref": "edoarad/notebookebb89329f2", "kernel_id": "106202"}, {"ref": "mstumpp/notebookbcdf7dd6f0", "kernel_id": "117425"}, {"ref": "qunzhaotian/notebook9cf420def6", "kernel_id": "105354"}, {"ref": "dongsam/date-exploration-6min-0-01", "kernel_id": "103096"}, {"ref": "dongsam/date-exploration-6min-0-01-284c4f2b", "kernel_id": "103134"}, {"ref": "dongsam/tf-test", "kernel_id": "108549"}, {"ref": "jyurain/magic-feature-visualization", "kernel_id": "106114"}, {"ref": "jyurain/notebook0fa69d6e62", "kernel_id": "113309"}, {"ref": "jyurain/test-faron-scirpus", "kernel_id": "111661"}, {"ref": "jyurain/shopfloor-visualization", "kernel_id": "111665"}, {"ref": "jyurain/check-failure-rate", "kernel_id": "111016"}, {"ref": "jyurain/notebook8f00b6fc72", "kernel_id": "109836"}, {"ref": "jyurain/test-script", "kernel_id": "110721"}, {"ref": "jyurain/test-data", "kernel_id": "115895"}, {"ref": "xiao22/notebook74bbe1c302", "kernel_id": "96325"}, {"ref": "xiao22/notebook731c801ac7", "kernel_id": "104554"}, {"ref": "kagglemrboo/test-3-road-2-0-4", "kernel_id": "105906"}, {"ref": "kagglemrboo/ttteead", "kernel_id": "105916"}, {"ref": "kagglemrboo/test-2-response", "kernel_id": "105898"}, {"ref": "kagglemrboo/notebook6cfe313e04", "kernel_id": "105894"}, {"ref": "kagglemrboo/road-test", "kernel_id": "109236"}, {"ref": "kagglemrboo/submisson", "kernel_id": "109237"}, {"ref": "kagglemrboo/magic-feature-visualization", "kernel_id": "109230"}, {"ref": "kagglemrboo/notebooke30af2476b", "kernel_id": "106086"}, {"ref": "kagglemrboo/notebook6c78e062b3", "kernel_id": "106388"}, {"ref": "kagglemrboo/69-test", "kernel_id": "109956"}, {"ref": "kagglemrboo/shopfloor-visualization-6ef857c0", "kernel_id": "109945"}, {"ref": "kagglemrboo/r-test", "kernel_id": "109950"}, {"ref": "kagglemrboo/newscr", "kernel_id": "110868"}, {"ref": "kagglemrboo/test-script", "kernel_id": "113962"}, {"ref": "thegreendog/notebook20a8832a0c", "kernel_id": "113250"}, {"ref": "indhushreyas/notebookb7738f8d0b", "kernel_id": "102794"}, {"ref": "lavande233/lavande", "kernel_id": "108626"}, {"ref": "teamvertex/notebookf8843771d2", "kernel_id": "98145"}, {"ref": "vibhutim/shopfloor-visualization-bbd9b55a", "kernel_id": "142562"}, {"ref": "vibhutim/shopfloor-visualization-de657a8a", "kernel_id": "142548"}, {"ref": "mgroncki/notebookcaeed4d6b1", "kernel_id": "100300"}, {"ref": "mcosch/leaky-36-in-r", "kernel_id": "103841"}, {"ref": "lasanthafdo/date-exploration-6min-0-01", "kernel_id": "102849"}, {"ref": "deguyoyo1010/notebooke8f07f6a92", "kernel_id": "98549"}, {"ref": "kddspgh/notebook475b6a2031", "kernel_id": "102176"}, {"ref": "pwiniarski/python-xgboost-starter-0-209-public-mcc", "kernel_id": "98468"}, {"ref": "aymkhalil/notebook324c9b35d5", "kernel_id": "98732"}, {"ref": "skcmars/notebook538a912722", "kernel_id": "98282"}, {"ref": "anotheranshu/notebook61dd147305", "kernel_id": "98415"}, {"ref": "tastevin/notebookf081b97d70", "kernel_id": "101051"}, {"ref": "mtermoul/data-exploration", "kernel_id": "100251"}, {"ref": "mtermoul/data-discovery-intro", "kernel_id": "100295"}, {"ref": "maxkferg/neuralboost", "kernel_id": "98890"}, {"ref": "himako/date-exploration-6min-0-01-054da6dc", "kernel_id": "169325"}, {"ref": "himako/date-exploration-6min-0-01", "kernel_id": "169322"}, {"ref": "yuwenli/import", "kernel_id": "99003"}, {"ref": "lolachao/bosch", "kernel_id": "101389"}, {"ref": "lolachao/notebook0db65e7bdb", "kernel_id": "101378"}, {"ref": "snamellit/notebook76fe6ae9f4", "kernel_id": "99231"}, {"ref": "hemantkg/notebook1321267d65", "kernel_id": "101999"}, {"ref": "oukatj/notebook7dce305544", "kernel_id": "99108"}, {"ref": "kybsmiling/python-xgboost-starter-0-209-public-mcc", "kernel_id": "109686"}, {"ref": "hasanp/notebook4e38cbfa78", "kernel_id": "99175"}, {"ref": "rajivmk/bish-bash-xgboost-rajiv", "kernel_id": "99219"}, {"ref": "jerryzzang/ku-apollo1", "kernel_id": "108399"}, {"ref": "jerryzzang/1121234", "kernel_id": "108375"}, {"ref": "jerryzzang/ku-apollo3", "kernel_id": "108929"}, {"ref": "jerryzzang/jerry", "kernel_id": "108527"}, {"ref": "jerryzzang/notebook2f7dee18b0", "kernel_id": "106113"}, {"ref": "zourui/notebookbaf1ed1be3", "kernel_id": "104802"}, {"ref": "zourui/date-exploration-6min-0-01-193b6ccc", "kernel_id": "104819"}, {"ref": "zourui/date-exploration-6min-0-01-fc3dfdfc", "kernel_id": "103499"}, {"ref": "zourui/date-exploration-6min-0-01-340837cc", "kernel_id": "103494"}, {"ref": "zourui/date-exploration-6min-0-01", "kernel_id": "103400"}, {"ref": "jyp2016/notebook479f2d784f", "kernel_id": "115460"}, {"ref": "jyp2016/notebook24e24fa045", "kernel_id": "115488"}, {"ref": "jyp2016/notebooka35ee90519", "kernel_id": "115869"}, {"ref": "jyp2016/notebookf4ec6e2813", "kernel_id": "114436"}, {"ref": "jyp2016/notebook2a632f0868", "kernel_id": "113998"}, {"ref": "jyp2016/notebook5701d4af81", "kernel_id": "114050"}, {"ref": "jyp2016/test-variables", "kernel_id": "114047"}, {"ref": "jyp2016/notebook28750e214c", "kernel_id": "108319"}, {"ref": "jyp2016/numeric-data", "kernel_id": "108324"}, {"ref": "jyp2016/notebook77e9665d0d", "kernel_id": "108512"}, {"ref": "jyp2016/data-sample-ex", "kernel_id": "108884"}, {"ref": "jyp2016/notebookf69a11dd53", "kernel_id": "108891"}, {"ref": "jyp2016/data-sample", "kernel_id": "108870"}, {"ref": "jyp2016/notebook1011904afd", "kernel_id": "106116"}, {"ref": "sketch92/notebook8b6cf02f9c", "kernel_id": "108551"}, {"ref": "sketch92/notebook83f497fdd1", "kernel_id": "108555"}, {"ref": "sketch92/notebooka1c3c8358d", "kernel_id": "108325"}, {"ref": "sketch92/notebook84096ce898", "kernel_id": "113987"}, {"ref": "sketch92/test-hglee", "kernel_id": "114829"}, {"ref": "sketch92/notebook9f96f05a91", "kernel_id": "114864"}, {"ref": "sketch92/test-hglee-20161108", "kernel_id": "114853"}, {"ref": "sketch92/notebookd3de9e01c8", "kernel_id": "110746"}, {"ref": "sketch92/notebooke7f0ca04dc", "kernel_id": "110975"}, {"ref": "sketch92/notebooke307fca399", "kernel_id": "111027"}, {"ref": "sketch92/notebook2135f64389", "kernel_id": "101555"}, {"ref": "swetank/practice", "kernel_id": "101646"}, {"ref": "swetank/notebookf207eeea90", "kernel_id": "101629"}, {"ref": "swetank/notebookc238183bd6", "kernel_id": "99404"}, {"ref": "swetank/notebooked47aaab1a", "kernel_id": "100651"}, {"ref": "illenyi/notebook9fe9258ae8", "kernel_id": "101615"}, {"ref": "chanchope/python-xgboost-starter-0-209-public-mcc-d0f6a8", "kernel_id": "239952"}, {"ref": "chanchope/python-xgboost-starter-0-209-public-mcc-5eccb3", "kernel_id": "239961"}, {"ref": "chanchope/eda-of-important-features-d955cdd9", "kernel_id": "125149"}, {"ref": "chanchope/eda-of-important-features-d66173e7", "kernel_id": "125157"}, {"ref": "chanchope/eda-of-important-features-a47f70a1", "kernel_id": "124903"}, {"ref": "chanchope/eda-of-important-features", "kernel_id": "124893"}, {"ref": "chanchope/eda-of-important-features-09f8ca9c", "kernel_id": "125289"}, {"ref": "chanchope/python-xgboost-starter-0-209-public-mcc", "kernel_id": "128031"}, {"ref": "chanchope/69-failure-rate", "kernel_id": "122151"}, {"ref": "chanchope/date-exploration-6min-0-01", "kernel_id": "118086"}, {"ref": "chanchope/date-exploration-6min-0-01-b18b864d", "kernel_id": "119836"}, {"ref": "chanchope/magic-feature-visualization", "kernel_id": "113991"}, {"ref": "chanchope/magic-feature-visualization-c7f6d1fd", "kernel_id": "116692"}, {"ref": "chanchope/notebook28989f1360", "kernel_id": "112535"}, {"ref": "chanchope/adsddd-py", "kernel_id": "112537"}, {"ref": "kahuna/notebookcf60f05b29", "kernel_id": "99482"}, {"ref": "danias/notebook6479285be2", "kernel_id": "99526"}, {"ref": "cxchao/python-xgboost-starter-0-209-public-mcc", "kernel_id": "100298"}, {"ref": "cxchao/notebookd0dbfab1c7", "kernel_id": "100286"}, {"ref": "cxchao/how-to-do", "kernel_id": "103217"}, {"ref": "cxchao/how-to-do-y", "kernel_id": "103225"}, {"ref": "cxchao/sssddafd", "kernel_id": "103213"}, {"ref": "cxchao/testss", "kernel_id": "103214"}, {"ref": "cxchao/18-failure-rate", "kernel_id": "103248"}, {"ref": "skynone/notebook2630e88adf", "kernel_id": "123139"}, {"ref": "skynone/notebook0c47094796", "kernel_id": "106103"}, {"ref": "skynone/notebook667bd11a83", "kernel_id": "102914"}, {"ref": "skynone/date-exploration-6min-0-01", "kernel_id": "102919"}, {"ref": "skynone/notebook21975b8c5d", "kernel_id": "105139"}, {"ref": "skynone/notebook95650ca9cd", "kernel_id": "105645"}, {"ref": "skynone/notebook5bf567c590", "kernel_id": "102224"}, {"ref": "skynone/notebookf897fc1829", "kernel_id": "102378"}, {"ref": "skynone/notebook99af61a75b", "kernel_id": "101099"}, {"ref": "skynone/notebook3cecb85185", "kernel_id": "101129"}, {"ref": "kukulux/notebookbdfa6d0eca", "kernel_id": "110834"}, {"ref": "kukulux/notebook50106eec98", "kernel_id": "110862"}, {"ref": "julia77/notebook55a87fa400", "kernel_id": "99952"}, {"ref": "julia77/notebook4247aab295", "kernel_id": "100118"}, {"ref": "julia77/notebook4dbc17bd76", "kernel_id": "100043"}, {"ref": "cesarboucas/loo-template-for-low-memory-2", "kernel_id": "102676"}, {"ref": "cesarboucas/oneclasssvm", "kernel_id": "137670"}, {"ref": "cesarboucas/xgb-2x-loo", "kernel_id": "137715"}, {"ref": "robotdude/looking-at-categorical-data", "kernel_id": "101672"}, {"ref": "makailove123/magic-feature-visualization", "kernel_id": "104122"}, {"ref": "surjitlahiri/notebookea7d69d3d2", "kernel_id": "100436"}, {"ref": "surjitlahiri/test01", "kernel_id": "100331"}, {"ref": "surjitlahiri/notebook168bf0e51b", "kernel_id": "100326"}, {"ref": "mymlml/date-exploration-6min-0-01", "kernel_id": "100177"}, {"ref": "mymlml/date-exploration-6min-0-01-f34cda8e", "kernel_id": "100194"}, {"ref": "ksjpenny/notebook475f5b7b1d", "kernel_id": "102187"}, {"ref": "ksjpenny/date-exploration-6min-0-01", "kernel_id": "103135"}, {"ref": "ksjpenny/trial-001", "kernel_id": "106110"}, {"ref": "ksjpenny/notebooka3f3230851", "kernel_id": "106108"}, {"ref": "sguda1/notebookad96d52dd2", "kernel_id": "100355"}, {"ref": "dshkvyra/preview", "kernel_id": "100361"}, {"ref": "dshkvyra/notebook2780d236c3", "kernel_id": "100365"}, {"ref": "dshkvyra/notebook3cf28c9d41", "kernel_id": "101262"}, {"ref": "wangseven/python-xgboost-starter-0-209-public-mcc", "kernel_id": "183262"}, {"ref": "maziary/notebook8c05729533", "kernel_id": "113235"}, {"ref": "serfcx/notebook619f86b6f6", "kernel_id": "100717"}, {"ref": "serfcx/notebookb7b4093bf1", "kernel_id": "100777"}, {"ref": "apollo831/ku-apollo", "kernel_id": "110565"}, {"ref": "apollo831/bosch-team-5", "kernel_id": "106467"}, {"ref": "apollo831/notebook918bf0d19e", "kernel_id": "107391"}, {"ref": "narikimc/trial-2", "kernel_id": "106112"}, {"ref": "narikimc/trial-20161015", "kernel_id": "106105"}, {"ref": "narikimc/trial-1", "kernel_id": "108528"}, {"ref": "danamorim/bosh-v1", "kernel_id": "101761"}, {"ref": "jlmiao/date-exploration-6min-0-01-afb03475", "kernel_id": "101343"}, {"ref": "jlmiao/date-exploration-6min-0-01", "kernel_id": "101331"}, {"ref": "langpartjx/python-xgboost-starter-0-209-public-mcc", "kernel_id": "106631"}, {"ref": "langpartjx/notebookd860dac6b2", "kernel_id": "104582"}, {"ref": "bitcard1/test2-py", "kernel_id": "105219"}, {"ref": "bitcard1/python-xgboost-starter-0-209-public-mcc", "kernel_id": "108557"}, {"ref": "bitcard1/yd-bigo", "kernel_id": "107054"}, {"ref": "bitcard1/notebook4190c875cd", "kernel_id": "107052"}, {"ref": "bitcard1/notebooka63053d4dd", "kernel_id": "106440"}, {"ref": "bitcard1/leeyd-test", "kernel_id": "106430"}, {"ref": "bitcard1/notebookad02cf7dc7", "kernel_id": "106485"}, {"ref": "bitcard1/notebooke56ffcd035", "kernel_id": "106397"}, {"ref": "bitcard1/lee-test", "kernel_id": "106401"}, {"ref": "bitcard1/notebookce397ac3c0", "kernel_id": "106418"}, {"ref": "bitcard1/leeyd-bigo", "kernel_id": "106727"}, {"ref": "bitcard1/notebook4765f893ab", "kernel_id": "106734"}, {"ref": "bitcard1/notebook032dab97f4", "kernel_id": "106738"}, {"ref": "bitcard1/notebook821978f4fd", "kernel_id": "106742"}, {"ref": "ynaperio/notebookf37db42de0", "kernel_id": "101311"}, {"ref": "mmahmad/road-2-0-4", "kernel_id": "228110"}, {"ref": "oopsh424/kernaltest", "kernel_id": "106106"}, {"ref": "oopsh424/notebookc5acf29f85", "kernel_id": "108274"}, {"ref": "oopsh424/sdfasdfsdf", "kernel_id": "110726"}, {"ref": "oopsh424/notebook1ec1ccf3b6", "kernel_id": "110216"}, {"ref": "jongunnar/test001", "kernel_id": "101408"}, {"ref": "patrykglogowski/first", "kernel_id": "102068"}, {"ref": "musella/notebook8654d9c308", "kernel_id": "101483"}, {"ref": "dikshanarula/shopfloor-visualization", "kernel_id": "107941"}, {"ref": "dikshanarula/date-exploration-6min-0-01", "kernel_id": "102893"}, {"ref": "thomastan310/notebook948379be53", "kernel_id": "102623"}, {"ref": "abdullah13314/notebookb7904f3b94", "kernel_id": "102006"}, {"ref": "emmjay/notebookde595d8844", "kernel_id": "102691"}, {"ref": "oksuresh/notebookac78144d5e", "kernel_id": "116231"}, {"ref": "aceccon/notebook0038be22b1", "kernel_id": "104945"}, {"ref": "kimhyoungmin/notebook95c2b30278", "kernel_id": "104347"}, {"ref": "rewreu/try1-rewreu", "kernel_id": "104108"}, {"ref": "rewreu/notebook24fc98ac7b", "kernel_id": "104131"}, {"ref": "davidli/notebook09d8fc5385", "kernel_id": "112031"}, {"ref": "agentauers/notebookaba63b22d8", "kernel_id": "103910"}, {"ref": "jianshefeng/xgboost-reg-linear-lb-0-485", "kernel_id": "120768"}, {"ref": "igoraries/magic-feature-visualization", "kernel_id": "104052"}, {"ref": "igoraries/python-xgboost-starter-0-209-public-mcc", "kernel_id": "114584"}, {"ref": "lamody/notebook31605936e6", "kernel_id": "113085"}, {"ref": "geraldcampos/notebookaec691d73e", "kernel_id": "104687"}, {"ref": "tukichen/qc-s-team", "kernel_id": "107224"}, {"ref": "anthonyduff/work1", "kernel_id": "104831"}, {"ref": "sal101/notebook63ec6895d9", "kernel_id": "105452"}, {"ref": "mittalrdnna/leaky-36-in-r", "kernel_id": "107007"}, {"ref": "felixsungod/script2", "kernel_id": "108758"}, {"ref": "felixsungod/test1", "kernel_id": "107409"}, {"ref": "felixsungod/notebook2eeb73fa36", "kernel_id": "107412"}, {"ref": "nikhil8692/second-code", "kernel_id": "106282"}, {"ref": "nikhil8692/asdasd", "kernel_id": "106284"}, {"ref": "pixyyy/notebookba2f3f0e1c", "kernel_id": "122877"}, {"ref": "gverma12/wavenia", "kernel_id": "106813"}, {"ref": "gverma12/failures-in-pairs", "kernel_id": "107215"}, {"ref": "anatolix/testscript", "kernel_id": "107266"}, {"ref": "anatolix/shopfloor-visualization", "kernel_id": "108696"}, {"ref": "glennv/abcda", "kernel_id": "107731"}, {"ref": "pyd1data/monte-carlo-feature-importance-sampling", "kernel_id": "114077"}, {"ref": "pyd1data/shopfloor-visualization", "kernel_id": "109199"}, {"ref": "liuxinze/date-exploration-6min-0-01", "kernel_id": "110706"}, {"ref": "yzhivkov/hhhkk", "kernel_id": "109079"}, {"ref": "hanahnee/notebook626f64dd93", "kernel_id": "109431"}, {"ref": "jdreamer/this-is-my-competitions", "kernel_id": "109816"}, {"ref": "neoyun/notebookc9dff08eea", "kernel_id": "110051"}, {"ref": "p1rat91/notebook1185edeaf6", "kernel_id": "122649"}, {"ref": "pradipbanerjee/category", "kernel_id": "112962"}, {"ref": "balasubramanya/mmmmsjjsjskk", "kernel_id": "121596"}, {"ref": "vikaskumars/notebook8a209cf4ab", "kernel_id": "136937"}, {"ref": "vikaskumars/notebook716fe3f4d7", "kernel_id": "139737"}, {"ref": "vikaskumars/notebookb3435a532a", "kernel_id": "161330"}, {"ref": "yousheng/notebook7241f3f3ff", "kernel_id": "202873"}, {"ref": "opt1mus/notebooke07db7dde5", "kernel_id": "116904"}, {"ref": "tejsarup/notebook3f1d21b9e7", "kernel_id": "117116"}, {"ref": "tejsarup/notebook0c50439b00", "kernel_id": "121279"}, {"ref": "louloumimil/python-xgboost-starter-0-209-public-mcc", "kernel_id": "129338"}, {"ref": "tobyfrancisv/notebookfa8b852a2a", "kernel_id": "124623"}, {"ref": "kevinmartel/notebookd55be7c1bc", "kernel_id": "141391"}, {"ref": "buaagaojie/shopfloor-visualization", "kernel_id": "182673"}, {"ref": "nerdfarmer/notebook52ce7eced7", "kernel_id": "168506"}, {"ref": "dominikv/notebook10d97ce2d5", "kernel_id": "168887"}, {"ref": "ryanphd2017/notebook83fc6301de", "kernel_id": "184597"}, {"ref": "blanchkj/notebookc839253552", "kernel_id": "189844"}, {"ref": "sridharturaga/understanding-the-bosch-production-line-data", "kernel_id": "193834"}, {"ref": "sridharturaga/fork-of-understanding-the-data", "kernel_id": "195555"}, {"ref": "dgoynes/magic-feature-visualization", "kernel_id": "223264"}, {"ref": "veedeejee/notebook7838205fac", "kernel_id": "199801"}, {"ref": "sohinibhattacharya86/xgboost-reg-linear-lb-0-485", "kernel_id": "230585"}, {"ref": "sohinibhattacharya86/flowpath-viz", "kernel_id": "230586"}, {"ref": "bmvsprasad/69-failure-rate", "kernel_id": "232228"}, {"ref": "welkin31/bosch-ver1", "kernel_id": "254310"}, {"ref": "shahbalkhan/road-2-0-4", "kernel_id": "228784"}, {"ref": "jainsaab/first-run", "kernel_id": "260167"}, {"ref": "jainsaab/first", "kernel_id": "261238"}, {"ref": "jainsaab/data-visualization", "kernel_id": "265398"}, {"ref": "jainsaab/date-pattern-check", "kernel_id": "267984"}, {"ref": "jainsaab/categorical-set", "kernel_id": "270251"}, {"ref": "meghanar/bosch-production-line-simple-logistic-regression", "kernel_id": "3413435"}, {"ref": "dainq1594/kernel1e8a711495", "kernel_id": "4889640"}, {"ref": "thuybach/kernel45d2f21b5d", "kernel_id": "5221632"}, {"ref": "choithuthoi/my-solution", "kernel_id": "5228627"}, {"ref": "yanzeliu/kernel72a4660866", "kernel_id": "8194788"}, {"ref": "medmkaouar/newscr", "kernel_id": "8179610"}, {"ref": "aakashveera/bosch-production-line-performance", "kernel_id": "10718458"}, {"ref": "aakashveera/bosch-random-forest", "kernel_id": "10827226"}, {"ref": "aakashveera/random-forest", "kernel_id": "10810344"}, {"ref": "furkanyakal/boschdatainfo", "kernel_id": "10574675"}, {"ref": "furkanyakal/bosch-date-one-hot-train-test", "kernel_id": "10623465"}, {"ref": "furkanyakal/stationpairs", "kernel_id": "10654364"}, {"ref": "furkanyakal/clusteringt-sne", "kernel_id": "10780041"}, {"ref": "furkanyakal/bosch-clustering", "kernel_id": "10757891"}, {"ref": "furkanyakal/lineclusteringv2l0", "kernel_id": "10815543"}, {"ref": "furkanyakal/lineclusteringv2l3", "kernel_id": "10818627"}, {"ref": "furkanyakal/lineclusleringl1-l2", "kernel_id": "10820723"}, {"ref": "furkanyakal/lineclustering", "kernel_id": "10800731"}, {"ref": "furkanyakal/linevisualization", "kernel_id": "10687199"}, {"ref": "furkanyakal/failpartsflow", "kernel_id": "10705985"}, {"ref": "furkanyakal/clusteringv1", "kernel_id": "10710409"}, {"ref": "kiwipirate/bosch-categorical", "kernel_id": "10666083"}, {"ref": "kiwipirate/bosch-date", "kernel_id": "10666113"}, {"ref": "kiwipirate/bosch-numeric", "kernel_id": "10618668"}, {"ref": "kyklosfraunhofer/second-place-solution", "kernel_id": "13380594"}, {"ref": "sangvisahu/random-forest", "kernel_id": "16980745"}, {"ref": "yasuhirokirihata/bosch-production-line-s32", "kernel_id": "19943084"}, {"ref": "mohaideen9683/notebookda4a945563", "kernel_id": "26652948"}, {"ref": "nitinnitj/production-line-failure-prediction", "kernel_id": "26606166"}, {"ref": "nitinnitj/feature-selection-using-xgboost", "kernel_id": "26588848"}, {"ref": "nitinnitj/major-project-production-line-failure-prediction", "kernel_id": "26578677"}, {"ref": "nitinnitj/random-forest", "kernel_id": "26541686"}, {"ref": "nitinnitj/bosch-production-line-s32", "kernel_id": "26557317"}, {"ref": "piyushigarg0993/major-project-production-line-failure-prediction", "kernel_id": "26599836"}, {"ref": "emphymachine/advanced-bosch-production-line-ml-prediction-pjt", "kernel_id": "27207648"}, {"ref": "emphymachine/2-bosch-production-line-eda-pjt", "kernel_id": "27157036"}, {"ref": "kim0min/2-bosch-production-line-eda-pjt", "kernel_id": "27157051"}, {"ref": "emphymachine/lges-bosch-production-line-eda-practice", "kernel_id": "28346479"}, {"ref": "lgjinukeom/bosch-production-line-eda-practice-ju", "kernel_id": "28346294"}, {"ref": "emphymachine/kdt-03-ai-bosch-production-line-performance-pjt", "kernel_id": "29245550"}, {"ref": "emphymachine/failure-prediction-pjt", "kernel_id": "29764126"}, {"ref": "emphymachine/76-78-failure-prediction", "kernel_id": "32692504"}, {"ref": "emphymachine/40-41-large-data-processing-with-pandas", "kernel_id": "32455147"}, {"ref": "emphymachine/42-43-cudf", "kernel_id": "32455198"}, {"ref": "mateuszjanik2000/mj-kk-solution", "kernel_id": "37473452"}, {"ref": "emphymachine/lges-dl-autoencoder-based-fault-detection", "kernel_id": "46259594"}, {"ref": "emphymachine/lges-dl-autoencoder-based-fault-detection-sol", "kernel_id": "46279316"}, {"ref": "emphymachine/lx-semicon-9-fault-detection-solution", "kernel_id": "62686548"}, {"ref": "emphymachine/lx-semicon-9-fault-detection", "kernel_id": "62521695"}, {"ref": "emphymachine/lges-ba-2024-2-extra-fault-detection-solution", "kernel_id": "65663358"}, {"ref": "iqbalhossain25/bosch-production-line-performance", "kernel_id": "91542152"}]}
{"competition_id": "5360", "kernels": []}
{"competition_id": "5371", "kernels": []}
{"competition_id": "5374", "kernels": []}
{"competition_id": "5385", "kernels": []}
{"competition_id": "5390", "kernels": [{"ref": "khanh94/seizure-boosting", "kernel_id": "101278"}, {"ref": "jeffmoser/notebook413bb645a5", "kernel_id": "117133"}, {"ref": "divideby0/trying-to-understand-how-the-sequence-numbers-work", "kernel_id": "103227"}, {"ref": "wcukierski/notebookf33f2b0860", "kernel_id": "114950"}, {"ref": "wcukierski/notebookdd217cb11c", "kernel_id": "115040"}, {"ref": "wcukierski/notebook1e8fa72930", "kernel_id": "114665"}, {"ref": "wcukierski/notebook5be84eb70b", "kernel_id": "113383"}, {"ref": "wcukierski/testing-input-files-2", "kernel_id": "94770"}, {"ref": "jeffstahler/spectrogram-pairs", "kernel_id": "102847"}, {"ref": "senredso/feature-extractor-matlab2python-translated", "kernel_id": "117981"}, {"ref": "maisey/notebook862385dcc7", "kernel_id": "101178"}, {"ref": "langbw/find-matches-py", "kernel_id": "109678"}, {"ref": "dmytrolystopad/seizure-boost-0-6-lb", "kernel_id": "119738"}, {"ref": "iakolzin/notebook5dc84bcbdf", "kernel_id": "114108"}, {"ref": "drpatrickchan/fft-top-32-peaks-cross-correlation", "kernel_id": "97106"}, {"ref": "valadi/2016092090", "kernel_id": "99257"}, {"ref": "valadi/seizure-boost-0-6-lb", "kernel_id": "99269"}, {"ref": "valadi/seizure-boost-0-6-lb-jaya1", "kernel_id": "120036"}, {"ref": "valadi/seizure-boost-0-6-lb-jaya2", "kernel_id": "121616"}, {"ref": "valadi/seizure-boost-0-6-lb-jayar", "kernel_id": "124259"}, {"ref": "tomlegrand/feature-extractor-matlab2python-translated", "kernel_id": "109456"}, {"ref": "hurlburt/no-matlab-required-0-64066-leaderboard", "kernel_id": "125048"}, {"ref": "clustifier/feature-extractor-matlab2python-translated", "kernel_id": "123214"}, {"ref": "clustifier/seizure-boost-0-6-lb", "kernel_id": "98988"}, {"ref": "liubenyuan/first-impression", "kernel_id": "94892"}, {"ref": "saeedyazdi/feature-extractor-matlab2python-translated", "kernel_id": "111421"}, {"ref": "saeedyazdi/notebook15790f4546", "kernel_id": "101557"}, {"ref": "asterios/proper-cross-validation", "kernel_id": "95482"}, {"ref": "dchaimow/notebook4321b91463", "kernel_id": "95462"}, {"ref": "pakozm/zerorunlengthdistribution", "kernel_id": "97136"}, {"ref": "pakozm/notebook27ade81616", "kernel_id": "96238"}, {"ref": "pakozm/dropoutcounts", "kernel_id": "96242"}, {"ref": "bgeier/notebook6ba7f3b450", "kernel_id": "99539"}, {"ref": "akilaw/seizure-boost-0-6-lb", "kernel_id": "119991"}, {"ref": "akilaw/seizure-boost-0-6-lb-n", "kernel_id": "123764"}, {"ref": "akilaw/seizure-boost-0-6-lb-jayar", "kernel_id": "124815"}, {"ref": "savioz/seizure-boosting", "kernel_id": "97668"}, {"ref": "masonavic/notebook5352d87767", "kernel_id": "97554"}, {"ref": "michelemoretti/feature-extractor-matlab2python-translated", "kernel_id": "98612"}, {"ref": "saikumarallaka/notebook7d20b40ee9", "kernel_id": "96539"}, {"ref": "saikumarallaka/getting-started-with-r-interactive", "kernel_id": "96235"}, {"ref": "saikumarallaka/notebook9bd375227b", "kernel_id": "96223"}, {"ref": "saikumarallaka/notebook8211170db8", "kernel_id": "96165"}, {"ref": "saikumarallaka/notebook787a8d9997", "kernel_id": "95748"}, {"ref": "saikumarallaka/notebook5e511ad9bd", "kernel_id": "95759"}, {"ref": "aelita/lpf-with-features", "kernel_id": "113995"}, {"ref": "aelita/kmeans-with-features", "kernel_id": "118710"}, {"ref": "gameboy/feature-extractor-matlab2python-translated", "kernel_id": "98971"}, {"ref": "usixuz/spectrogram-pairs", "kernel_id": "96699"}, {"ref": "kthxbayes/test1", "kernel_id": "96660"}, {"ref": "caizhiwei/notebook1cd95d40c0", "kernel_id": "99823"}, {"ref": "chaotic/xgboost7", "kernel_id": "101908"}, {"ref": "ljofre/notebook0c45f9e43a", "kernel_id": "97049"}, {"ref": "ljofre/notebooke707633c14", "kernel_id": "95864"}, {"ref": "ljofre/principal-components-analysis", "kernel_id": "95876"}, {"ref": "ljofre/notebook4dc9a20e72", "kernel_id": "97175"}, {"ref": "ljofre/notebook1498ddf914", "kernel_id": "97657"}, {"ref": "stegben/check-some-info", "kernel_id": "95100"}, {"ref": "gooron/feature-extractor-matlab2python-translated", "kernel_id": "104307"}, {"ref": "ktimothy/mainscript", "kernel_id": "108069"}, {"ref": "joeycham/notebook8d2168e398", "kernel_id": "96319"}, {"ref": "melissafm/notebook6ce89a3fa3", "kernel_id": "105971"}, {"ref": "miked1/forked-script", "kernel_id": "95111"}, {"ref": "miked1/seizure-boost-0-6-lb", "kernel_id": "95113"}, {"ref": "rjmishra/notebook6f94538e80", "kernel_id": "102944"}, {"ref": "sakares/check-with-seizure-spectrograms", "kernel_id": "104385"}, {"ref": "andy101/exploring-the-channel-energies", "kernel_id": "101420"}, {"ref": "vipinkumar/seizure-boost-0-6-lb", "kernel_id": "107659"}, {"ref": "leopiney/notebook4ef64d9e55", "kernel_id": "95052"}, {"ref": "thorstenkranz/notebook630708b6a4", "kernel_id": "103048"}, {"ref": "gracetang/xgbmagic-script", "kernel_id": "100129"}, {"ref": "avilesmarcel/going-to-csv-from-mat-file", "kernel_id": "95508"}, {"ref": "avilesmarcel/open-mat-in-python-pandas-dataframe", "kernel_id": "95317"}, {"ref": "avilesmarcel/test-python-read-mat-files", "kernel_id": "95293"}, {"ref": "vagrawal/channel-plots", "kernel_id": "95780"}, {"ref": "sashko/single-eeg-fft-entropy", "kernel_id": "96299"}, {"ref": "quantumdamage/pierwszy", "kernel_id": "94962"}, {"ref": "quantumdamage/notebookf81d53000e", "kernel_id": "94969"}, {"ref": "quantumdamage/notebook31b2733b82", "kernel_id": "94977"}, {"ref": "quantumdamage/mumbojumbo2", "kernel_id": "99859"}, {"ref": "quantumdamage/notebook1cf6ee6ced", "kernel_id": "95447"}, {"ref": "robintibor/notebookbfc5650134", "kernel_id": "110090"}, {"ref": "robintibor/notebook991e03cbb8", "kernel_id": "109698"}, {"ref": "thewhiteknight/notebook57431bfcf4", "kernel_id": "101918"}, {"ref": "jeffhebert/seizure-spectrograms", "kernel_id": "95845"}, {"ref": "michaelpawlus/seizure-boost-0-6-lb", "kernel_id": "95294"}, {"ref": "barbaramatthias/notebook3fa37ab2dd", "kernel_id": "109953"}, {"ref": "dalgacik/notebookf4e25dd82e", "kernel_id": "106561"}, {"ref": "dalgacik/feature-extractor-matlab2python-translated", "kernel_id": "106325"}, {"ref": "dalgacik/notebookdab32f326e", "kernel_id": "111216"}, {"ref": "dalgacik/data-exploration", "kernel_id": "110616"}, {"ref": "konggas/notebookbd4103d77b", "kernel_id": "99061"}, {"ref": "cloclo/notebook3034551cfb", "kernel_id": "116801"}, {"ref": "uberstig/feature-extractor-matlab2python-translated", "kernel_id": "116607"}, {"ref": "yuqingxue/seizure-boost-0-6-lb", "kernel_id": "96101"}, {"ref": "yuqingxue/l116-94", "kernel_id": "96113"}, {"ref": "yuqingxue/l116-92-88", "kernel_id": "96133"}, {"ref": "yuqingxue/seizure-boost-f", "kernel_id": "96989"}, {"ref": "yuqingxue/seizure-boosting", "kernel_id": "98594"}, {"ref": "yuqingxue/2016092088", "kernel_id": "97524"}, {"ref": "yuqingxue/2016092090", "kernel_id": "97488"}, {"ref": "opanichev/feature-extractor-matlab2python-translated", "kernel_id": "121162"}, {"ref": "csmmani/notebook77fedb2632", "kernel_id": "120099"}, {"ref": "jmspock/notebooka236546da2", "kernel_id": "100449"}, {"ref": "nameyy/compare-eeg", "kernel_id": "101185"}, {"ref": "tharunniranjan/notebookbe5c1eb57f", "kernel_id": "97044"}, {"ref": "andrewmatte/seizure-boost-0-6-lb", "kernel_id": "119678"}, {"ref": "sharmamonika/notebookea73dd63f6", "kernel_id": "96396"}, {"ref": "yuewu5/seizure-boosting", "kernel_id": "96756"}, {"ref": "stevendu/single-eeg-fft-entropy", "kernel_id": "96527"}, {"ref": "jasonlengxm/notebookd64ff3a5fe", "kernel_id": "95572"}, {"ref": "scirpus/gp-ii-1", "kernel_id": "124825"}, {"ref": "scirpus/zfturbo-powered-gp", "kernel_id": "108645"}, {"ref": "speedoheck/notebookc9a49d5a9b", "kernel_id": "95560"}, {"ref": "aerotuck/notebook09b67b6e97", "kernel_id": "95105"}, {"ref": "cogsbox/seizure-boosting", "kernel_id": "95536"}, {"ref": "kendallgreene/notebook16f6f9f6f8", "kernel_id": "114184"}, {"ref": "supisa/feature-extractor-matlab2python-translated", "kernel_id": "101814"}, {"ref": "supisa/single-eeg-fft-entropy", "kernel_id": "105701"}, {"ref": "nchris6717/feature-extractor-matlab2python-translated", "kernel_id": "105105"}, {"ref": "deepcnn/coherence-image-pairs", "kernel_id": "119933"}, {"ref": "deepcnn/feature-extractor-matlab2python-translated", "kernel_id": "98306"}, {"ref": "deepcnn/spectrogram-pairs", "kernel_id": "96427"}, {"ref": "interesting/seizure-boosting-72931620", "kernel_id": "95438"}, {"ref": "interesting/seizure-boosting", "kernel_id": "95432"}, {"ref": "zhugds/boosting", "kernel_id": "95991"}, {"ref": "eliebassi/notebook4ef39a3e62", "kernel_id": "97703"}, {"ref": "asagitov/notebook351a158129", "kernel_id": "101039"}, {"ref": "scollins/notebookad6f7ff904", "kernel_id": "99349"}, {"ref": "jc1234/notebook226e96f486", "kernel_id": "95306"}, {"ref": "lamdang/notebookad496f004e", "kernel_id": "99033"}, {"ref": "lamdang/notebook5f6a02dc00", "kernel_id": "94784"}, {"ref": "bzamecnik/brain-sounds", "kernel_id": "108134"}, {"ref": "michielremme/notebooke827346bb3", "kernel_id": "110266"}, {"ref": "sreejakrishnan/notebook5221260c6d", "kernel_id": "107357"}, {"ref": "vrcarva/notebook161686867b", "kernel_id": "98639"}, {"ref": "paurabassa/asdfc", "kernel_id": "100996"}, {"ref": "paurabassa/myrscript", "kernel_id": "101002"}, {"ref": "saurabh1331/feature-extractor-matlab2python-translated", "kernel_id": "109074"}, {"ref": "hafeneger/notebook1415f3ce07", "kernel_id": "117634"}, {"ref": "wongstein/sadfa", "kernel_id": "102033"}, {"ref": "wongstein/notebook2e4fb68e78", "kernel_id": "102023"}, {"ref": "jorgepalma/display-classes-0-and-1", "kernel_id": "98362"}, {"ref": "jorgepalma/signal-resampling-to-reduce-dimensionality", "kernel_id": "100027"}, {"ref": "mkesselaers/notebook3f273cc9d8", "kernel_id": "103961"}, {"ref": "vanausloos/spectrogram-pairs", "kernel_id": "117099"}, {"ref": "nzw0301/notebookdcc94447b0", "kernel_id": "129277"}, {"ref": "ragu26/notebook79642451a8", "kernel_id": "105438"}, {"ref": "jeblist/notebookcf4c35a1c2", "kernel_id": "101315"}, {"ref": "kjlee7/some-visualizations-of-the-data", "kernel_id": "96440"}, {"ref": "kjlee7/seizure-boosting", "kernel_id": "95573"}, {"ref": "kjlee7/kjlee-tester-first", "kernel_id": "95585"}, {"ref": "eemonn/notebook6abd5edbc3", "kernel_id": "100109"}, {"ref": "openneuron/notebook78bb03120c", "kernel_id": "95580"}, {"ref": "openneuron/begin-with-r-generate-features-2", "kernel_id": "95583"}, {"ref": "ganesh7/notebook7abe225b3f", "kernel_id": "103426"}, {"ref": "jasmeetsb/notebook5d4c050a77", "kernel_id": "95638"}, {"ref": "jerhayes/2016092090", "kernel_id": "98446"}, {"ref": "siyaozheng/notebook9ac20c431a", "kernel_id": "101861"}, {"ref": "test001/feature-extractor-matlab2python-translated", "kernel_id": "100506"}, {"ref": "ulisrael/feature-extractor-matlab2python-translated", "kernel_id": "113830"}, {"ref": "agavranis/my-first-script", "kernel_id": "117999"}, {"ref": "agavranis/1010-test", "kernel_id": "103927"}, {"ref": "agavranis/check", "kernel_id": "115493"}, {"ref": "agavranis/sizes", "kernel_id": "115543"}, {"ref": "agavranis/161027test", "kernel_id": "110130"}, {"ref": "agavranis/test-freq-nrg", "kernel_id": "101655"}, {"ref": "agavranis/feature-extractor-matlab2python-translated", "kernel_id": "101074"}, {"ref": "agavranis/test-feat", "kernel_id": "101075"}, {"ref": "agavranis/20160930", "kernel_id": "100918"}, {"ref": "aliu0x/notebookceb835579f", "kernel_id": "104662"}, {"ref": "shaybs/feature-extractor-matlab2python-translated", "kernel_id": "115321"}, {"ref": "bkbolte181/notebookd02b9b9c17", "kernel_id": "101108"}, {"ref": "yiyang186/notebook55dde13017", "kernel_id": "98454"}, {"ref": "yiyang186/notebook298675d23b", "kernel_id": "98466"}, {"ref": "qqgeogor/notebookbcf3d377c1", "kernel_id": "98460"}, {"ref": "tunguz/seizure-boost-0-59-lb", "kernel_id": "114568"}, {"ref": "belskikh/script-1", "kernel_id": "108388"}, {"ref": "belskikh/feature-extractor-matlab2python-translated", "kernel_id": "108385"}, {"ref": "ibestvina/feature-extractor-matlab2python-translated", "kernel_id": "109036"}, {"ref": "dualphase/feature-extractor-matlab2python-translated", "kernel_id": "110153"}, {"ref": "akabdul/notebook170419c571", "kernel_id": "99294"}, {"ref": "davidfox/notebookefd92ab8d9", "kernel_id": "103883"}, {"ref": "davidfox/notebook29bfa420e9", "kernel_id": "105351"}, {"ref": "jc052341/notebook8f4035ac23", "kernel_id": "96079"}, {"ref": "madhurmd/seizure-boost-mm", "kernel_id": "103507"}, {"ref": "georgepanag/simple-feature-extraction-in-r", "kernel_id": "95523"}, {"ref": "myzhou1994/seizure-boost-0-6-lb-2", "kernel_id": "95649"}, {"ref": "myzhou1994/seizure-boost-0-6-lb", "kernel_id": "95330"}, {"ref": "myzhou1994/seizure-boost-0-6-lb-1001", "kernel_id": "114526"}, {"ref": "wagenrace/feature-extractor-matlab2python-translated", "kernel_id": "99876"}, {"ref": "dpiens/notebook731c54519c", "kernel_id": "106115"}, {"ref": "jishanbaig/notebookd5e80ce1ff", "kernel_id": "96798"}, {"ref": "tombeen/notebook5af465a10c", "kernel_id": "99453"}, {"ref": "tombeen/notebook1a843c60bc", "kernel_id": "98572"}, {"ref": "nikosias/notebookac09eb8420", "kernel_id": "112585"}, {"ref": "jcacnt/notebookfce6d1d99c", "kernel_id": "99343"}, {"ref": "zfturbo/seizure-boost-0-6-lb", "kernel_id": "94908"}, {"ref": "henryvu/feature-extractor-matlab2python-translated", "kernel_id": "101900"}, {"ref": "henryvu/2016092090", "kernel_id": "100579"}, {"ref": "scottykwok/seizure-boost-time-skew-freq-skew", "kernel_id": "123348"}, {"ref": "scottykwok/seizure-skew", "kernel_id": "123319"}, {"ref": "scottykwok/seizure-boost-time-freq-domain-skew-safe", "kernel_id": "123853"}, {"ref": "scottykwok/seizure-boost-time-domain-skew-0-64697-lb", "kernel_id": "122472"}, {"ref": "geseft/notebook242472cd3c", "kernel_id": "101972"}, {"ref": "tozech/open-mat-in-python-pandas-dataframe", "kernel_id": "112152"}, {"ref": "pgryllos/notebook96a890502f", "kernel_id": "105653"}, {"ref": "marcopolli/feature-extractor-matlab2python-translated", "kernel_id": "103037"}, {"ref": "chunhsienhsu/feature-extractor-matlab2python-translated", "kernel_id": "99766"}, {"ref": "weedislove/feature-extractor-matlab2python-translated", "kernel_id": "98723"}, {"ref": "reasat/feature-extractor-matlab2python-translated", "kernel_id": "100912"}, {"ref": "reasat/compare-eeg", "kernel_id": "100007"}, {"ref": "heleneh/notebook17616db3b7", "kernel_id": "114003"}, {"ref": "anokas/dataa", "kernel_id": "95028"}, {"ref": "anokas/spectrogram", "kernel_id": "95556"}, {"ref": "anokas/seizure-boosting", "kernel_id": "95316"}, {"ref": "anokas/notebook1177bc62c8", "kernel_id": "98615"}, {"ref": "anokas/feature-extractor-matlab2python-translated", "kernel_id": "98568"}, {"ref": "anneke/notebook7d9a8f774a", "kernel_id": "97521"}, {"ref": "groskilled/notebookb5317ea4fe", "kernel_id": "97148"}, {"ref": "aemreaydin/notebookf103296acd", "kernel_id": "102253"}, {"ref": "gauss256/analysis-of-safe-labels", "kernel_id": "113493"}, {"ref": "gauss256/let-s-put-the-auc-score-issue-to-rest", "kernel_id": "113617"}, {"ref": "pranavvelamakanni/seizure-boost-0-6-lb", "kernel_id": "101554"}, {"ref": "pavansreekanth1996/notebookc920c538db", "kernel_id": "99691"}, {"ref": "xiaofei/single-eeg-fft-entropy-f70fa7a2", "kernel_id": "101406"}, {"ref": "xiaofei/feature-extractor-matlab2python-translated", "kernel_id": "101252"}, {"ref": "xiaofei/single-eeg-fft-entropy", "kernel_id": "101317"}, {"ref": "xiaofei/notebook1bb5681adf", "kernel_id": "99368"}, {"ref": "xiaofei/notebook957a623e89", "kernel_id": "96139"}, {"ref": "tedrand/seizures-eda", "kernel_id": "95271"}, {"ref": "vihangpatil/seizure-boost-0-6-lb", "kernel_id": "109558"}, {"ref": "vihangpatil/seizure-boost", "kernel_id": "124130"}, {"ref": "vihangpatil/seizure-boosting", "kernel_id": "124136"}, {"ref": "kumarishalini/seizure-boosting", "kernel_id": "95512"}, {"ref": "ltmico/feature-extractor-matlab2python-translated", "kernel_id": "99726"}, {"ref": "tngodup/notebook17b6565f0b", "kernel_id": "95344"}, {"ref": "mabelvj/dataframe-generator", "kernel_id": "107938"}, {"ref": "chuijh/notebook5e0a56c2f3", "kernel_id": "114909"}, {"ref": "chuijh/notebook55ecc15b9b", "kernel_id": "114943"}, {"ref": "chuijh/feature-extractor-matlab2python-translated", "kernel_id": "116400"}, {"ref": "telvis/parallel-feature-extractor-r", "kernel_id": "104320"}, {"ref": "mpsommer/feature-extractor-matlab2python-translated", "kernel_id": "118478"}, {"ref": "vardiar/another-data-corruption", "kernel_id": "109761"}, {"ref": "ilvu13/feature-extractor-matlab2python-translated", "kernel_id": "123798"}, {"ref": "ilvu13/notebookf7247f7cd0", "kernel_id": "120416"}, {"ref": "ilvu13/notebookb9f4823cc5", "kernel_id": "104764"}, {"ref": "vincento/deepbilstm-0-60-lb", "kernel_id": "104631"}, {"ref": "vincento/0-6-lb", "kernel_id": "102386"}, {"ref": "leewk92/notebook556e303859", "kernel_id": "96884"}, {"ref": "rusalmighty/test1", "kernel_id": "108680"}, {"ref": "garethjns/another-data-corruption", "kernel_id": "109231"}, {"ref": "yanwii/notebooka772a0f237", "kernel_id": "111979"}, {"ref": "pankajmishra/notebook808bf01ac7", "kernel_id": "97722"}, {"ref": "qwdm74/feature-extractor-matlab2python-translated", "kernel_id": "119899"}, {"ref": "johnwshumway/feature-extractor-matlab2python-translated", "kernel_id": "99554"}, {"ref": "helenmel/notebook41f94fe9d7", "kernel_id": "98228"}, {"ref": "rollingstone99/exploring-the-channel-energies", "kernel_id": "103176"}, {"ref": "rollingstone99/notebookd45a929da5", "kernel_id": "118929"}, {"ref": "joshuayoerger/notebook13efd6ab55", "kernel_id": "96778"}, {"ref": "alexwangbin/seizure-boosting", "kernel_id": "95378"}, {"ref": "alexwangbin/single-eeg-fft-entropy", "kernel_id": "95633"}, {"ref": "alexwangbin/let-s-put-the-auc-score-issue-to-rest", "kernel_id": "116630"}, {"ref": "treina/feature-extractor-matlab2python-translated", "kernel_id": "113057"}, {"ref": "gemeinl/test1", "kernel_id": "104259"}, {"ref": "gemeinl/zfturbo-script", "kernel_id": "104273"}, {"ref": "gemeinl/first-script", "kernel_id": "104253"}, {"ref": "gemeinl/single-eeg-fft-entropy", "kernel_id": "105801"}, {"ref": "gemeinl/another-data-corruption", "kernel_id": "109891"}, {"ref": "gemeinl/notebooka344fbd90d", "kernel_id": "94936"}, {"ref": "thallesdomician/feature-extractor-matlab2python-translated", "kernel_id": "98786"}, {"ref": "changgyu/notebook1c405f16ad", "kernel_id": "98663"}, {"ref": "changgyu/another-data-corruption", "kernel_id": "109063"}, {"ref": "itsmeumesh/notebook5ac4fbe997", "kernel_id": "96042"}, {"ref": "savostinkaggle/notebook72637a9112", "kernel_id": "101698"}, {"ref": "terenin/2016092092", "kernel_id": "98747"}, {"ref": "changfeng60000/notebookf647706e72", "kernel_id": "98063"}, {"ref": "changfeng60000/notebook9e858ee291", "kernel_id": "98010"}, {"ref": "anandaraja/feature-extractor-for-eeg-with-classifier", "kernel_id": "479914"}, {"ref": "tetevi/notebook6743b9635d", "kernel_id": "98095"}, {"ref": "jrtneto/notebook6a66505c06", "kernel_id": "117309"}, {"ref": "mariganeshkumar/feature-extractor-matlab2python-translated", "kernel_id": "122389"}, {"ref": "mariganeshkumar/notebook7289408a56", "kernel_id": "122532"}, {"ref": "fnordr/notebookaebfd4ce45", "kernel_id": "101007"}, {"ref": "rohannaidu/proper-cross-validation", "kernel_id": "100122"}, {"ref": "mescalito/feature-extractor-matlab2python-translated", "kernel_id": "98499"}, {"ref": "myaqoob/notebook77a53df5b5", "kernel_id": "96366"}, {"ref": "charlieg/spectrogram-pairs", "kernel_id": "96996"}, {"ref": "bdavis/seizure-boosting", "kernel_id": "97769"}, {"ref": "prakritidevverma/notebook1e623fc05d", "kernel_id": "108412"}, {"ref": "serenitec/notebook9b68199afd", "kernel_id": "117394"}, {"ref": "flytosky/seizure-boosting-22e0498b", "kernel_id": "98156"}, {"ref": "flytosky/single-eeg-fft-entropy-3165bafa", "kernel_id": "97661"}, {"ref": "flytosky/daily-work", "kernel_id": "97623"}, {"ref": "flytosky/spectrogram-pairs", "kernel_id": "97450"}, {"ref": "flytosky/single-eeg-fft-entropy", "kernel_id": "97458"}, {"ref": "flytosky/seizure-prediction", "kernel_id": "95714"}, {"ref": "flytosky/seizure-boosting", "kernel_id": "95709"}, {"ref": "johnmaxi/notebook676cd2aa4c", "kernel_id": "121958"}, {"ref": "solverworld/find-matches-py", "kernel_id": "110063"}, {"ref": "joannalvarez/notebookce29fbcb03", "kernel_id": "103622"}, {"ref": "solomonk/bayesian-logistic-regression-and-pymc3", "kernel_id": "180870"}, {"ref": "solomonk/proper-cross-validation", "kernel_id": "102579"}, {"ref": "solomonk/xg-tests", "kernel_id": "96266"}, {"ref": "solomonk/fft-top-32-peaks-cross-correlation", "kernel_id": "96557"}, {"ref": "solomonk/single-eeg-fft-entropy", "kernel_id": "94771"}, {"ref": "akashkarl/notebook123e00aab4", "kernel_id": "101796"}, {"ref": "nathanm/notebooka4e2868a88", "kernel_id": "99296"}, {"ref": "genieeeeeee/eugene-kim", "kernel_id": "105553"}, {"ref": "mithundasgupta/notebookb40c470dda", "kernel_id": "95181"}, {"ref": "marcofab/notebookaabb24778c", "kernel_id": "94935"}, {"ref": "alexhod10/notebook1a846a44a3", "kernel_id": "95542"}, {"ref": "consamk/seizures", "kernel_id": "95897"}, {"ref": "consamk/seizure-boosting", "kernel_id": "96389"}, {"ref": "himuhimu/feature-extractor-matlab2python-translated", "kernel_id": "99783"}, {"ref": "himuhimu/seizure-spectrograms", "kernel_id": "99787"}, {"ref": "alijs1/experiments-with-spectrograms", "kernel_id": "99236"}, {"ref": "alijs1/random-auc-test", "kernel_id": "98284"}, {"ref": "alijs1/seizure-boosting-c604e1a9", "kernel_id": "96652"}, {"ref": "alijs1/seizure-boosting", "kernel_id": "96372"}, {"ref": "alijs1/seizure-boost-0-6-lb", "kernel_id": "96065"}, {"ref": "alijs1/find-files-chain", "kernel_id": "110287"}, {"ref": "xiaoranone/xiaoran", "kernel_id": "99603"}, {"ref": "hell98/notebook83ce4f177f", "kernel_id": "101340"}, {"ref": "tanlikesmath/notebook2ffad08b8a", "kernel_id": "94779"}, {"ref": "tanlikesmath/xgboost-1", "kernel_id": "98330"}, {"ref": "kortex/feature-extractor-matlab2python-translated", "kernel_id": "105221"}, {"ref": "tylanmurphy/r-experiments", "kernel_id": "96707"}, {"ref": "acyouzi/features-extract", "kernel_id": "97674"}, {"ref": "acyouzi/simple-feature", "kernel_id": "97837"}, {"ref": "sananth55/start", "kernel_id": "100222"}, {"ref": "step8p/test0", "kernel_id": "108010"}, {"ref": "ggggfan/notebook9504e0af89", "kernel_id": "102631"}, {"ref": "senenbotello/notebook46e2cf957e", "kernel_id": "95549"}, {"ref": "wurbgurbl/let-s-put-the-auc-score-issue-to-rest", "kernel_id": "114592"}, {"ref": "wurbgurbl/poking-at-the-data", "kernel_id": "96608"}, {"ref": "wurbgurbl/notebook1370c13f78", "kernel_id": "96587"}, {"ref": "wurbgurbl/notebookd10a60e53a", "kernel_id": "96928"}, {"ref": "sylviahoho/notebook63c9232de9", "kernel_id": "100239"}, {"ref": "sylviahoho/notebook11c9dfd7a8", "kernel_id": "102004"}, {"ref": "songzhm/notebook41543752af", "kernel_id": "100307"}, {"ref": "songzhm/seizure-boost-0-6-lb", "kernel_id": "100305"}, {"ref": "songzhm/notebookedd9304d0a", "kernel_id": "114789"}, {"ref": "songzhm/eda-and-feature-extraction", "kernel_id": "130813"}, {"ref": "songzhm/ieeegscript", "kernel_id": "130699"}, {"ref": "songzhm/notebook17a25d7e4f", "kernel_id": "134637"}, {"ref": "songzhm/coherence-image-pairs", "kernel_id": "124551"}, {"ref": "cowlicks/dask-and-svm", "kernel_id": "98649"}, {"ref": "kirillkosolapov/notebookad2802337a", "kernel_id": "100207"}, {"ref": "cristo/notebook19f6443892", "kernel_id": "110733"}, {"ref": "cristo/notebookce32414422", "kernel_id": "109537"}, {"ref": "penmily/notebook1bf32ff658", "kernel_id": "95429"}, {"ref": "binilg/seizure-boost-0-6-lb", "kernel_id": "96589"}, {"ref": "msaber/my-first-script", "kernel_id": "116561"}, {"ref": "stayingfoolish/notebookaa10156f2a", "kernel_id": "95532"}, {"ref": "takayasuda/notebookfdb365e019", "kernel_id": "119996"}, {"ref": "srimeda/open-mat-in-python", "kernel_id": "95399"}, {"ref": "gwangmin/notebooka9c54e1303", "kernel_id": "105323"}, {"ref": "maycui/notebook4fdef80abf", "kernel_id": "101831"}, {"ref": "yuanyuany/notebook54e79541e7", "kernel_id": "117020"}, {"ref": "roggin/seizure-boosting", "kernel_id": "95453"}, {"ref": "roggin/seizure-boosting-764d2156", "kernel_id": "96264"}, {"ref": "juhoke/seizure-boost-0-6-lb", "kernel_id": "112259"}, {"ref": "jarrja/coherence-image-pairs", "kernel_id": "125518"}, {"ref": "jarrja/fft-top-32-peaks-cross-correlation", "kernel_id": "125560"}, {"ref": "jarrja/single-eeg-fft-entropy", "kernel_id": "125561"}, {"ref": "meetshah1995/spectrogram-pairs-451e4e4e", "kernel_id": "103393"}, {"ref": "meetshah1995/spectrogram-pairs", "kernel_id": "103376"}, {"ref": "weizhengwei/weizw", "kernel_id": "104725"}, {"ref": "mvladimir/notebook249a304254", "kernel_id": "96367"}, {"ref": "phtech/notebook21499b65af", "kernel_id": "97503"}, {"ref": "hectordroguett/notebook87e469e807", "kernel_id": "97180"}, {"ref": "jbschiratti/feature-extractor-matlab2python-translated", "kernel_id": "130209"}, {"ref": "anyamcg/notebook57cf3d81cd", "kernel_id": "129762"}, {"ref": "yamal0615/notebook09399aaf5a", "kernel_id": "96137"}, {"ref": "dplavery92/notebook8a26e9ccc7", "kernel_id": "95490"}, {"ref": "dplavery92/notebook437e8ebfa2", "kernel_id": "96346"}, {"ref": "kevinspahr/feature-extractor-matlab2python-translated", "kernel_id": "98309"}, {"ref": "blackgold/another-data-corruption", "kernel_id": "117645"}, {"ref": "stojanovic/another-data-corruption", "kernel_id": "109510"}, {"ref": "loganwilliams/test-script-py", "kernel_id": "97012"}, {"ref": "overratedgman/notebook3bd436aff6", "kernel_id": "95778"}, {"ref": "brianv/notebookd1c89a801e", "kernel_id": "95829"}, {"ref": "farkob/deneme", "kernel_id": "96067"}, {"ref": "aloosk/notebookdc0eee4b75", "kernel_id": "96635"}, {"ref": "droogs/seizure-prediciton", "kernel_id": "96309"}, {"ref": "michaelwest/notebooke47b773c6a", "kernel_id": "104973"}, {"ref": "userad/melbourne-university-seizure", "kernel_id": "101674"}, {"ref": "xiaokangwang/another-data-corruption", "kernel_id": "109465"}, {"ref": "chakree/trials", "kernel_id": "99355"}, {"ref": "jmac1290/ieeg-model-development-and-training", "kernel_id": "96668"}, {"ref": "jmac1290/test-1", "kernel_id": "99976"}, {"ref": "jmac1290/notebook6601224754", "kernel_id": "99971"}, {"ref": "seijin/notebook45c613f3b8", "kernel_id": "105308"}, {"ref": "kirillp/notebooka9993242e1", "kernel_id": "117316"}, {"ref": "mitigator/notebook6f6b9e7241", "kernel_id": "97943"}, {"ref": "keerthana15/notebook8e5c3e16fb", "kernel_id": "113723"}, {"ref": "ngphuoc/notebook64b32390f8", "kernel_id": "115990"}, {"ref": "benediktramsauer/notebookc7e93d952c", "kernel_id": "123962"}, {"ref": "fyessad/notebook8f19dc9f84", "kernel_id": "97875"}, {"ref": "gpernelle/example", "kernel_id": "97907"}, {"ref": "itolstoganov/notebook53a6d5b86b", "kernel_id": "122742"}, {"ref": "itolstoganov/notebookde8753bd26", "kernel_id": "125280"}, {"ref": "kaluda/feature-extractor-matlab2python-translated", "kernel_id": "118203"}, {"ref": "brianfoo/notebookd94c902be7", "kernel_id": "106071"}, {"ref": "cl3ntist/seizure-boosting", "kernel_id": "98157"}, {"ref": "cl3ntist/notebook214aaac99f", "kernel_id": "98161"}, {"ref": "cl3ntist/trying-to-compress", "kernel_id": "98151"}, {"ref": "cl3ntist/test1", "kernel_id": "98131"}, {"ref": "cl3ntist/notebook7aaca07474", "kernel_id": "98132"}, {"ref": "jcquillet/feature-extractor-matlab2python-translated", "kernel_id": "117030"}, {"ref": "vijayi/notebook383d6a6317", "kernel_id": "99292"}, {"ref": "bohdanosadchyi/notebook4628514eb5", "kernel_id": "112886"}, {"ref": "jameslong/predictseize", "kernel_id": "101729"}, {"ref": "lemoinef/notebookbe104692fe", "kernel_id": "118432"}, {"ref": "eljeilany/notebookbb4a972820", "kernel_id": "100376"}, {"ref": "patzomir/notebook2ad31d8929", "kernel_id": "101253"}, {"ref": "patzomir/notebookd2407b677b", "kernel_id": "100859"}, {"ref": "patzomir/notebook0554e439a4", "kernel_id": "100751"}, {"ref": "patzomir/notebook25e19db0bd", "kernel_id": "101740"}, {"ref": "musella/warmup", "kernel_id": "102736"}, {"ref": "aseth27/notebookd8e899aa68", "kernel_id": "101920"}, {"ref": "aseth27/try-script", "kernel_id": "101939"}, {"ref": "analauraserra/seizure-boost-0-6-lb", "kernel_id": "102172"}, {"ref": "psy0814/notebookded311da6f", "kernel_id": "104265"}, {"ref": "maddiman/notebookef59344db1", "kernel_id": "102884"}, {"ref": "endangpg/notebook53684aa5b6", "kernel_id": "103401"}, {"ref": "endangpg/notebook09841a1a1d", "kernel_id": "103368"}, {"ref": "vivekkohar/seizure-boost-0-6-lb", "kernel_id": "105183"}, {"ref": "sandeeprawat/notebook887bcad71b", "kernel_id": "105807"}, {"ref": "datobig/notebook92555802ba", "kernel_id": "106773"}, {"ref": "kylermconnelly/notebooke3a84c3f58", "kernel_id": "109647"}, {"ref": "kylermconnelly/test-title", "kernel_id": "110122"}, {"ref": "pyd1data/seizure-boosting", "kernel_id": "116197"}, {"ref": "vincenzojin/notebooke898d935dc", "kernel_id": "121624"}, {"ref": "vincenzojin/notebookfa7b9132d5", "kernel_id": "121700"}, {"ref": "saiyan/test-py", "kernel_id": "108701"}, {"ref": "tsabcd/notebooke14b5fd1ae", "kernel_id": "126841"}, {"ref": "autred/notebook639130fb28", "kernel_id": "117247"}, {"ref": "danifi/notebook27bf7d7a8c", "kernel_id": "119322"}, {"ref": "conorbmurphy/notebooke6c33c1cdd", "kernel_id": "119080"}, {"ref": "nickbedo/notebook09cdccab8d", "kernel_id": "110929"}, {"ref": "shse77/feature-extractor-matlab2python-translated", "kernel_id": "115207"}, {"ref": "biopedro/notebookbbb171b07a", "kernel_id": "139497"}, {"ref": "biopedro/notebook1d240684cd", "kernel_id": "147140"}, {"ref": "biopedro/notebook8f8866d6df", "kernel_id": "144920"}, {"ref": "shawnv/seizure-boost-0-6-lb", "kernel_id": "116526"}, {"ref": "haixuantao/notebooka32e6aec73", "kernel_id": "115330"}, {"ref": "grigio/notebook7781c1bfb7", "kernel_id": "115480"}, {"ref": "lauric/let-s-put-the-auc-score-issue-to-rest", "kernel_id": "120630"}, {"ref": "gihanu/notebook04d196ee86", "kernel_id": "117986"}, {"ref": "hclawhk/seizure-boost-0-6-lb", "kernel_id": "121589"}, {"ref": "yashamu/notebookc170980a24", "kernel_id": "123059"}, {"ref": "zxsyp3/first", "kernel_id": "144382"}, {"ref": "zxsyp3/seizure-boosting", "kernel_id": "144388"}, {"ref": "lucaszw/notebook787946f732", "kernel_id": "185759"}, {"ref": "profcarlosdelfino/minhas-anota-es-de-estudos-no-kaggle", "kernel_id": "8984424"}, {"ref": "rganeshprabu/notebook2f3625c5c6", "kernel_id": "13052302"}]}
{"competition_id": "5400", "kernels": []}
{"competition_id": "5404", "kernels": []}
{"competition_id": "5407", "kernels": [{"ref": "dalloliogm/exploration-with-r-tidyverse-and-caret", "kernel_id": "343473"}, {"ref": "benhamner/regularized-linear-models", "kernel_id": "97223"}, {"ref": "sprezzatura/detailed-exploratory-data-analysis-using-r", "kernel_id": "204576"}, {"ref": "avehtari/lasso", "kernel_id": "195156"}, {"ref": "yanpapadakis/houseprices-eda", "kernel_id": "958407"}, {"ref": "gwolff/my-first-kernel-visualization", "kernel_id": "139270"}, {"ref": "olbustosa/notebook1522e6dcd1", "kernel_id": "117336"}, {"ref": "olbustosa/regularized-linear-models", "kernel_id": "116833"}, {"ref": "fishandjess/first-trial", "kernel_id": "100250"}, {"ref": "redundantduck/firstrun", "kernel_id": "253727"}, {"ref": "annchong/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "264677"}, {"ref": "juangonzalez0/my-first-machine-learning-model", "kernel_id": "804593"}, {"ref": "dansbecker/submitting-from-a-kernel", "kernel_id": "383075"}, {"ref": "dansbecker/using-categorical-data-with-one-hot-encoding", "kernel_id": "362915"}, {"ref": "dansbecker/xgboost", "kernel_id": "363959"}, {"ref": "dansbecker/finding-your-files-in-kaggle-kernels", "kernel_id": "368419"}, {"ref": "dansbecker/handling-missing-values", "kernel_id": "351100"}, {"ref": "dansbecker/explore-your-data", "kernel_id": "400760"}, {"ref": "dansbecker/exercise-build-your-first-machine-learning-model", "kernel_id": "400771"}, {"ref": "dansbecker/selecting-and-filtering-in-pandas", "kernel_id": "400839"}, {"ref": "dansbecker/your-first-machine-learning-model", "kernel_id": "400931"}, {"ref": "dansbecker/model-validation", "kernel_id": "401078"}, {"ref": "dansbecker/underfitting-and-overfitting", "kernel_id": "401110"}, {"ref": "dansbecker/random-forests", "kernel_id": "401123"}, {"ref": "senkri/regularized-linear-models", "kernel_id": "97299"}, {"ref": "senkri/detailed-data-exploration-in-python", "kernel_id": "97550"}, {"ref": "clinica/regularized-linear-models", "kernel_id": "100185"}, {"ref": "bubbafat/stacking-starter", "kernel_id": "230496"}, {"ref": "abhishekheads/notebook282faeb167", "kernel_id": "238519"}, {"ref": "qzhan11/regularized-linear-models", "kernel_id": "157064"}, {"ref": "qzhan11/fork-of-regularized-linear-models", "kernel_id": "158898"}, {"ref": "xtal79/detailed-data-exploration-in-python", "kernel_id": "109832"}, {"ref": "aaboyles/regularized-linear-models", "kernel_id": "103562"}, {"ref": "aaboyles/notebook9059de251a", "kernel_id": "98261"}, {"ref": "aaboyles/notebook5cd12353c4", "kernel_id": "98873"}, {"ref": "yujiao/notebookfe74536a2a", "kernel_id": "105029"}, {"ref": "nit254/regularized-linear-models", "kernel_id": "135846"}, {"ref": "n3n77i/housedata", "kernel_id": "184913"}, {"ref": "drspicy/notebook60c6378170", "kernel_id": "96221"}, {"ref": "deriveinsights/sample-test", "kernel_id": "148039"}, {"ref": "abinayam/housepriceprediction", "kernel_id": "165515"}, {"ref": "magsgiust/notebook29ea333f52", "kernel_id": "103653"}, {"ref": "datacanary/basic-linear-benchmark", "kernel_id": "92518"}, {"ref": "datacanary/simple-linear-benchmark", "kernel_id": "92480"}, {"ref": "kilaorange/a-deep-learning-approach-to-real-estate", "kernel_id": "291726"}, {"ref": "kilaorange/xgboost-kernel", "kernel_id": "306538"}, {"ref": "kilaorange/keras-deep-learning-approach", "kernel_id": "306543"}, {"ref": "varun2145/forked-from-stacked-regressions", "kernel_id": "360488"}, {"ref": "varun2145/regularized-linear-models", "kernel_id": "176295"}, {"ref": "varun2145/housing-prices", "kernel_id": "176304"}, {"ref": "digitalex/notebook0f6d2765d8", "kernel_id": "112365"}, {"ref": "edmondzhang/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "118541"}, {"ref": "leeclemmer/exploratory-data-analysis-of-housing-in-ames-iowa", "kernel_id": "385532"}, {"ref": "bensonlee5/regularized-linear-models", "kernel_id": "188796"}, {"ref": "bgvrabchte/detailed-data-exploration-in-python", "kernel_id": "123841"}, {"ref": "nithum/regularized-linear-models-a78c79d8", "kernel_id": "99553"}, {"ref": "nithum/notebookdba19c6a12", "kernel_id": "99536"}, {"ref": "nithum/regularized-linear-models", "kernel_id": "99429"}, {"ref": "nithum/notebookfcc2810269", "kernel_id": "101261"}, {"ref": "nithum/fork-of-notebook66ad6144e9", "kernel_id": "101301"}, {"ref": "nithum/simple-linear-regression-demo", "kernel_id": "101762"}, {"ref": "nithum/fork-of-simple-linear-regression-demo", "kernel_id": "101764"}, {"ref": "satishku/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "246131"}, {"ref": "aconsapart/notebook103018f7de", "kernel_id": "235844"}, {"ref": "aconsapart/notebook2e39faf176", "kernel_id": "235528"}, {"ref": "jimthompson/notebookcb8ea7b92b", "kernel_id": "99410"}, {"ref": "jimthompson/regularized-linear-models-in-r", "kernel_id": "99411"}, {"ref": "jimthompson/notebook4727cd4602", "kernel_id": "93255"}, {"ref": "jimthompson/boruta-feature-importance-analysis", "kernel_id": "93256"}, {"ref": "jimthompson/notebookb41090eea4", "kernel_id": "93635"}, {"ref": "jimthompson/ensemble-model-stacked-model-example", "kernel_id": "94823"}, {"ref": "grammati/notebooke9cdd30c28", "kernel_id": "249691"}, {"ref": "jfgobin/how-much-square-footage-can-you-get-part-ii", "kernel_id": "402535"}, {"ref": "jfgobin/how-much-square-footage-can-you-get-for-a-buck", "kernel_id": "348561"}, {"ref": "clynn74/fun-with-real-estate-data", "kernel_id": "279444"}, {"ref": "iamnuomi/regularized-linear-models", "kernel_id": "183321"}, {"ref": "zhangyang/regularized-linear-models", "kernel_id": "187623"}, {"ref": "liwste/dimensionality-reduction-using-auto-encoder", "kernel_id": "249984"}, {"ref": "dogdog/notebook6a69d8726f", "kernel_id": "165506"}, {"ref": "aroraabhi/notebookb798e3639a", "kernel_id": "208416"}, {"ref": "alexismignon/simple-regression-experiment", "kernel_id": "203536"}, {"ref": "orieus/notebook3d7c2e633b", "kernel_id": "105632"}, {"ref": "wtwang/test-around", "kernel_id": "98436"}, {"ref": "wadse11/housing-data-notebook-v00", "kernel_id": "94252"}, {"ref": "wadse11/notebookd6e22abdfa", "kernel_id": "94318"}, {"ref": "wangbing/housing-prices-1", "kernel_id": "238601"}, {"ref": "cansanguder/dsfsdf", "kernel_id": "117846"}, {"ref": "joeyli/notebook7b6b575edf", "kernel_id": "173029"}, {"ref": "falconzyx/comprehensive-data-exploration-with-python", "kernel_id": "276968"}, {"ref": "agarwalsneha/notebookd7c78429ef", "kernel_id": "92833"}, {"ref": "agarwalsneha/exploring-training-data", "kernel_id": "92880"}, {"ref": "agarwalsneha/random-forest", "kernel_id": "93983"}, {"ref": "taylorbrown/notebook1fe97cfbc1", "kernel_id": "96373"}, {"ref": "rvsandeep/notebook924b0eb5e0", "kernel_id": "97348"}, {"ref": "rvsandeep/exploring-house-price-dataset", "kernel_id": "97369"}, {"ref": "rvsandeep/house-pricing-predictions-an-experimental-study", "kernel_id": "96951"}, {"ref": "lit041000/regularized-linear-models", "kernel_id": "264283"}, {"ref": "jdeena/notebook461c89f69a", "kernel_id": "120221"}, {"ref": "darioperalta/simplest-eda", "kernel_id": "96919"}, {"ref": "darioperalta/regularized-linear-models", "kernel_id": "101769"}, {"ref": "mrmldjr/house-prices", "kernel_id": "173357"}, {"ref": "singhvivek/notebook2f1f5b335e", "kernel_id": "230966"}, {"ref": "erikjustin/new-script", "kernel_id": "100749"}, {"ref": "fitzoh/housing-prices-prediction-with-scikit-learn", "kernel_id": "156774"}, {"ref": "mikraig/test-notebook", "kernel_id": "98640"}, {"ref": "mikraig/notebook79fd8c8bdd", "kernel_id": "98804"}, {"ref": "mikraig/notebook808b693b5b", "kernel_id": "98809"}, {"ref": "mikraig/notebookef87273745", "kernel_id": "99038"}, {"ref": "bthamm/notebook748aff2117", "kernel_id": "101206"}, {"ref": "rahulattuluri/notebookbc313314c6", "kernel_id": "254095"}, {"ref": "ljoffe/notebook061b1070ec", "kernel_id": "113344"}, {"ref": "verenich/notebook7bbca93797", "kernel_id": "109132"}, {"ref": "pranavj/home-prices-prediction", "kernel_id": "138834"}, {"ref": "sarvajith/house-prices-eda", "kernel_id": "187695"}, {"ref": "hxc1025/pca-and-regression", "kernel_id": "196135"}, {"ref": "roycoding/recreating-the-house-prices-benchmark-in-python", "kernel_id": "96172"}, {"ref": "yuningalexliu/detailed-data-exploration-in-python", "kernel_id": "145727"}, {"ref": "yuningalexliu/regularized-linear-models-6f065f22", "kernel_id": "145566"}, {"ref": "yuningalexliu/regularized-linear-models", "kernel_id": "144185"}, {"ref": "afrozhussain/notebook32a0b9fa27", "kernel_id": "93602"}, {"ref": "trident/notebook9c3f3b526a", "kernel_id": "233220"}, {"ref": "erichstuderus/notebooke0a6e07a02", "kernel_id": "141958"}, {"ref": "overdata/notebookffc9f03fc7", "kernel_id": "102155"}, {"ref": "ayabell/notebook2eb4f667a8", "kernel_id": "185780"}, {"ref": "ayabell/notebook39c887cd39", "kernel_id": "183885"}, {"ref": "ayabell/eda-and-lr", "kernel_id": "203143"}, {"ref": "renchengbin/notebooka296b19c30", "kernel_id": "123651"}, {"ref": "renchengbin/regularized-linear-models", "kernel_id": "148027"}, {"ref": "cast42/correlations-with-saleprice", "kernel_id": "103272"}, {"ref": "cast42/fitting-a-curve-for-relation-quality-and-price", "kernel_id": "101240"}, {"ref": "cast42/feature-selection-and-elastic-net", "kernel_id": "97916"}, {"ref": "cast42/botura-feature-selection-and-randomised-lass", "kernel_id": "97936"}, {"ref": "cast42/regularized-linear-models-ransac-and-elastic-net", "kernel_id": "97615"}, {"ref": "cast42/script-v6", "kernel_id": "155803"}, {"ref": "trogsworth/experimenting-with-house-prices", "kernel_id": "179381"}, {"ref": "satyaprakash1986/feature-viz-part1", "kernel_id": "249081"}, {"ref": "ofdomejean/first-submission-from-a-new-kaggler1", "kernel_id": "96419"}, {"ref": "remysaissy/regularized-linear-models", "kernel_id": "166377"}, {"ref": "pankajsahu0/housing-price-prediction-model", "kernel_id": "583314"}, {"ref": "siamimohammad/notebook9e8a8deff4", "kernel_id": "241667"}, {"ref": "dtavan/notebook1dd6a4aa7f", "kernel_id": "224102"}, {"ref": "narkowsky/houseprice-test-v01", "kernel_id": "221215"}, {"ref": "amirsani/team-name", "kernel_id": "164079"}, {"ref": "amirsani/regularized-linear-models-9f02ff41", "kernel_id": "164161"}, {"ref": "amirsani/notebook4c049e92be", "kernel_id": "158161"}, {"ref": "amirsani/regularized-linear-models", "kernel_id": "158166"}, {"ref": "uday1889/regularized-linear-models", "kernel_id": "98886"}, {"ref": "uday1889/ensemble-model-stacked-model-example", "kernel_id": "98887"}, {"ref": "mrudula/notebook7b9b8a8b48", "kernel_id": "101797"}, {"ref": "mrudula/notebookff67d8c201", "kernel_id": "97091"}, {"ref": "plotkin/testinmg", "kernel_id": "174596"}, {"ref": "ashukumar27/exploratory-analysis", "kernel_id": "172482"}, {"ref": "oselot/regularized-linear-models-8534ae7f", "kernel_id": "158464"}, {"ref": "oselot/regularized-linear-models-4eba49c8", "kernel_id": "150503"}, {"ref": "oselot/regularized-linear-models", "kernel_id": "149898"}, {"ref": "oostopitre/regularized-linear-models", "kernel_id": "117967"}, {"ref": "lawrencewu/notebook56e7315bec", "kernel_id": "131620"}, {"ref": "dmontoy/notebook5cccb9726e", "kernel_id": "204492"}, {"ref": "akilaw/xgboost-lasso", "kernel_id": "272008"}, {"ref": "ahmednasser/detailed-data-cleaning-and-imputation", "kernel_id": "180629"}, {"ref": "ahmednasser/eda-and-outliers", "kernel_id": "181183"}, {"ref": "anithasiva/regularized-linear-models", "kernel_id": "121449"}, {"ref": "luke14free/randomforestregressor", "kernel_id": "126549"}, {"ref": "archins/notebook6f0ab1f0d1", "kernel_id": "173143"}, {"ref": "coltsfan/notebookc8d9027032", "kernel_id": "114724"}, {"ref": "johnkiran/notebook333da6f2ea", "kernel_id": "197929"}, {"ref": "johnkiran/notebook3dd7858471", "kernel_id": "201779"}, {"ref": "johnkiran/house-price", "kernel_id": "191644"}, {"ref": "johnkiran/data-analysis", "kernel_id": "175845"}, {"ref": "sw8930/filling-up-missing-values", "kernel_id": "190900"}, {"ref": "ericgustavson/notebookc0c6e6839c", "kernel_id": "108957"}, {"ref": "kellyv/detailed-feature-analysis-of-ames-house-prices", "kernel_id": "259814"}, {"ref": "shgidi/notebook44688d615f", "kernel_id": "102015"}, {"ref": "mik3hall/avg-ensemble-rmd", "kernel_id": "99644"}, {"ref": "pramodatre/housing-prices-prediction", "kernel_id": "206354"}, {"ref": "suj1th/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "271607"}, {"ref": "chengzhizhao/detailed-data-exploration-in-python", "kernel_id": "96442"}, {"ref": "dreamhunter/notebookfd8ee955f6", "kernel_id": "231073"}, {"ref": "dreamhunter/save-dataset", "kernel_id": "245279"}, {"ref": "drmcgraw/albert-s-first-data-model-notebook-version-2", "kernel_id": "996122"}, {"ref": "jsaadani/simple-ridge-regression-in-python", "kernel_id": "412118"}, {"ref": "danofer/cleaning-new-features-gps-lat-long-coordinates", "kernel_id": "898188"}, {"ref": "crosswords/notebook9f35514030", "kernel_id": "207693"}, {"ref": "crosswords/model-1", "kernel_id": "184017"}, {"ref": "crosswords/housing-prices-prediction-version-1", "kernel_id": "190112"}, {"ref": "crosswords/housing-prices", "kernel_id": "190114"}, {"ref": "sagarmeisheri/house-prices-eda", "kernel_id": "275345"}, {"ref": "mksunel/boruta-feature-importance-analysis", "kernel_id": "100754"}, {"ref": "karthikpalaniappan/filling-up-missing-values", "kernel_id": "184238"}, {"ref": "karthikpalaniappan/detailed-data-exploration-angela-s-script-in-r", "kernel_id": "178852"}, {"ref": "luanjunyi/notebooka3cabe8aa1", "kernel_id": "176722"}, {"ref": "tomfgato/notebook5dfbdbfac3", "kernel_id": "133407"}, {"ref": "kaysuh/notebook25ac7e4297", "kernel_id": "97597"}, {"ref": "simonji/team-project-for-stat420", "kernel_id": "306633"}, {"ref": "zacharysbrown/regularized-linear-models", "kernel_id": "157937"}, {"ref": "watchanin/regularized-regression-rfs-and-gbms", "kernel_id": "420676"}, {"ref": "haneesh/demo-i", "kernel_id": "138335"}, {"ref": "haneesh/randomforest-demo", "kernel_id": "138352"}, {"ref": "haneesh/randomforestregressor-demo", "kernel_id": "138356"}, {"ref": "yeah529/notebookc684f35080", "kernel_id": "110702"}, {"ref": "tugisuwon/initial-draft", "kernel_id": "168925"}, {"ref": "wkostelecki/exploration", "kernel_id": "92824"}, {"ref": "coding2fun/detailed-data-exploration-in-python", "kernel_id": "173382"}, {"ref": "syntactic/notebook476d0d7191", "kernel_id": "96037"}, {"ref": "syntactic/kinda-simple-linear-regression", "kernel_id": "95620"}, {"ref": "harishbchalam204/notebook4dc049b08b", "kernel_id": "102489"}, {"ref": "harishbchalam204/notebook26431a94fb", "kernel_id": "97143"}, {"ref": "dawny33/regularized-linear-models", "kernel_id": "359804"}, {"ref": "mitujadhav/exploration", "kernel_id": "132468"}, {"ref": "avishek/notebook-28092016", "kernel_id": "100343"}, {"ref": "avishek/notebook-25092016", "kernel_id": "99654"}, {"ref": "samkugji/detailed-exploratory-data-analysis-using-r", "kernel_id": "181502"}, {"ref": "peima09/notebookfe2e575a8d", "kernel_id": "277089"}, {"ref": "bartsc/notebookf04a6bacba", "kernel_id": "211713"}, {"ref": "bartsc/notebookf3b6ebc80d", "kernel_id": "211714"}, {"ref": "guilhermepaiva/notebook3cb8df64fc", "kernel_id": "141301"}, {"ref": "ishyadav/notebookc924d53c29", "kernel_id": "183386"}, {"ref": "ishyadav/ish-notebook", "kernel_id": "183387"}, {"ref": "ishyadav/regularized-linear-models", "kernel_id": "183391"}, {"ref": "jonmanly/notebook1e7ea4f066", "kernel_id": "141310"}, {"ref": "jonmanly/xgb-lasso-ensemble-lb-0-11805", "kernel_id": "141342"}, {"ref": "paintnp/detailed-data-exploration-in-python", "kernel_id": "99509"}, {"ref": "stegben/notebookba6a791a58", "kernel_id": "133420"}, {"ref": "rajeshyerragunta/notebook3dea3a2763", "kernel_id": "110611"}, {"ref": "kjmacmil/notebook61f089e6e4", "kernel_id": "129988"}, {"ref": "pseudocode/detailed-data-exploration-in-python", "kernel_id": "94862"}, {"ref": "noracode/notebook0852615f0c", "kernel_id": "113213"}, {"ref": "iordanougiannis/detailed-data-exploration-in-python", "kernel_id": "94322"}, {"ref": "eunsupj/notebookd2866cd7e7", "kernel_id": "163258"}, {"ref": "imcodebreaker/detailed-data-exploration-in-python", "kernel_id": "98118"}, {"ref": "anilnarassiguin/notebook9df91e210e", "kernel_id": "167946"}, {"ref": "anilnarassiguin/notebook7dd5c933a8", "kernel_id": "167947"}, {"ref": "dolremi/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "182726"}, {"ref": "dolremi/house-prices-eda", "kernel_id": "176602"}, {"ref": "sidraina89/regularized-regression-housing-pricing", "kernel_id": "97045"}, {"ref": "vpaharia/housing-price-prediction", "kernel_id": "338243"}, {"ref": "jseesel/notebook0947378caa", "kernel_id": "101013"}, {"ref": "rzolubas/notebookd0f9961635", "kernel_id": "95478"}, {"ref": "pankajupadhyay29/my-first-machine-learning-model-bf8cb5", "kernel_id": "890950"}, {"ref": "skthedataguy/notebook3d9bfcbd8b", "kernel_id": "100372"}, {"ref": "theamazingdrew/feature-cleanup-and-selection-rev-1", "kernel_id": "219114"}, {"ref": "david101/fun-around", "kernel_id": "92749"}, {"ref": "devinanzelmo/notebook59323d3e90", "kernel_id": "95809"}, {"ref": "devinanzelmo/notebook586d48087b", "kernel_id": "95820"}, {"ref": "xyz8983/notebook5965db439d", "kernel_id": "201242"}, {"ref": "xyz8983/notebookd0fad233fc", "kernel_id": "201287"}, {"ref": "xyz8983/notebooke3bd057360", "kernel_id": "201198"}, {"ref": "caspero0/notebook9992725ec3", "kernel_id": "104902"}, {"ref": "caspero0/notebook0cd1ac7e09", "kernel_id": "104867"}, {"ref": "bertmanila/notebook07dbada9d5", "kernel_id": "227209"}, {"ref": "mdodsworth/detailed-data-exploration-in-python", "kernel_id": "103019"}, {"ref": "mdodsworth/notebook6bf34842aa", "kernel_id": "103008"}, {"ref": "yangus/house-prices-advanced-regression", "kernel_id": "153840"}, {"ref": "yangus/notebooke18337559c", "kernel_id": "153841"}, {"ref": "danlorry/notebookca89324a42", "kernel_id": "219724"}, {"ref": "changliu2016/regularized-linear-models", "kernel_id": "164764"}, {"ref": "ameyaksh/welcome-to-data-science-in-r-workbook", "kernel_id": "595766"}, {"ref": "tomehta/basic-linear-benchmark", "kernel_id": "121317"}, {"ref": "tomehta/cart-model", "kernel_id": "363257"}, {"ref": "amit02204/notebook4835ad7aa8", "kernel_id": "219467"}, {"ref": "miberk/regularized-linear-models", "kernel_id": "103449"}, {"ref": "jbaker92/notebook5d579359e9", "kernel_id": "94166"}, {"ref": "zhimin/notebooke8bdd6693a", "kernel_id": "226433"}, {"ref": "ananda/regularized-linear-models", "kernel_id": "172738"}, {"ref": "kalpuk/notebook771bcc4678", "kernel_id": "117943"}, {"ref": "yogeshggn/notebook45d0334c01", "kernel_id": "131310"}, {"ref": "rohitk/notebook82a4f55cf5", "kernel_id": "93820"}, {"ref": "rohitk/notebookb944f92c89", "kernel_id": "94928"}, {"ref": "xauen1980/notebook56e4ac1915", "kernel_id": "257920"}, {"ref": "xauen1980/test1", "kernel_id": "257922"}, {"ref": "rybakovw/regularized-linear-models", "kernel_id": "167084"}, {"ref": "irinamariabienia/houseprices", "kernel_id": "169375"}, {"ref": "ohmets/feature-selection-for-regression", "kernel_id": "265644"}, {"ref": "wangsijia/notebooka809f4546b", "kernel_id": "203364"}, {"ref": "wangsijia/exploratory-data-visualizations-in-python", "kernel_id": "203370"}, {"ref": "sflender/comparing-lin-regression-ridge-lasso", "kernel_id": "150387"}, {"ref": "breuker/fork-of-notebook46174d54a3", "kernel_id": "135175"}, {"ref": "ktrueda/notebook308f6fce1d", "kernel_id": "109241"}, {"ref": "domenp/notebook832c1b7368", "kernel_id": "278696"}, {"ref": "rhlewd/notebookc7ed4e910d", "kernel_id": "257632"}, {"ref": "snowdj/detailed-data-exploration-in-python", "kernel_id": "95092"}, {"ref": "iliana/testkernelnotebook", "kernel_id": "147120"}, {"ref": "aatrainor/first-go", "kernel_id": "172260"}, {"ref": "karthiv/notebookefeea290b7", "kernel_id": "178031"}, {"ref": "jahchaisang/notebook8f5b6e1fcd", "kernel_id": "166862"}, {"ref": "jahchaisang/notebookc2ecaf084d", "kernel_id": "164578"}, {"ref": "jahchaisang/notebook677eb3768e", "kernel_id": "164582"}, {"ref": "jahchaisang/regularized-linear-models", "kernel_id": "169022"}, {"ref": "jahchaisang/regularized-linear-models-2374aa93", "kernel_id": "170358"}, {"ref": "jahchaisang/notebookef0837634a", "kernel_id": "170360"}, {"ref": "poprocks/notebookf91e57916b", "kernel_id": "155886"}, {"ref": "poprocks/notebook72eede50bd", "kernel_id": "155880"}, {"ref": "chandnijpurohit/decisiontree-realestate-marketprediction", "kernel_id": "545331"}, {"ref": "squidarth/notebookee5b04aa95", "kernel_id": "230343"}, {"ref": "squidarth/notebook114a57d63e", "kernel_id": "229269"}, {"ref": "leggettmatt/linear-regression-test", "kernel_id": "158621"}, {"ref": "rutger1908/regularized-linear-models", "kernel_id": "143591"}, {"ref": "anuradhay/regularized-linear-models", "kernel_id": "146950"}, {"ref": "pmarcelino/comprehensive-data-exploration-with-python", "kernel_id": "186062"}, {"ref": "zhun310/detailed-data-exploration-in-python", "kernel_id": "107021"}, {"ref": "jmachadofreitas/notebookc7154d252a", "kernel_id": "273563"}, {"ref": "jingfengzhu/underfitting-overfitting-and-model-optimization", "kernel_id": "737588"}, {"ref": "jingfengzhu/random-forests", "kernel_id": "737698"}, {"ref": "jingfengzhu/my-first-machine-learning-model", "kernel_id": "736879"}, {"ref": "jingfengzhu/selecting-and-filtering-in-pandas-63a88b", "kernel_id": "736888"}, {"ref": "jingfengzhu/your-first-scikit-learn-model", "kernel_id": "736941"}, {"ref": "hanshika/my-first-machine-learning-model-15251a", "kernel_id": "845222"}, {"ref": "aerolsh/regularized-linear-models", "kernel_id": "157044"}, {"ref": "aerolsh/regularized-linear-models-bfa0bfcf", "kernel_id": "157046"}, {"ref": "amitchoudhary/notebook37a438e3de", "kernel_id": "105428"}, {"ref": "amitchoudhary/script-v6", "kernel_id": "117577"}, {"ref": "vvs0713/nonparametric-feature-engineering-2", "kernel_id": "179005"}, {"ref": "vvs0713/nonparametric-feature-engineering", "kernel_id": "141524"}, {"ref": "bansal98/lasso-model-for-regression-problem", "kernel_id": "109252"}, {"ref": "varimp/regularized-regression-housing-pricing", "kernel_id": "194547"}, {"ref": "ayoussef/notebooka4e9777d59", "kernel_id": "138501"}, {"ref": "ayoussef/dummies-for-dummies", "kernel_id": "138662"}, {"ref": "ayoussef/regularized-linear-models", "kernel_id": "186551"}, {"ref": "supersubmarine/notebook5f3339a05c", "kernel_id": "95823"}, {"ref": "tedpetrou/notebookec530e19df", "kernel_id": "99096"}, {"ref": "tedpetrou/dummies-for-dummies", "kernel_id": "99908"}, {"ref": "dabillox/regularized-linear-models", "kernel_id": "175286"}, {"ref": "seekera/notebook6c4c3e324b", "kernel_id": "97782"}, {"ref": "thequackdaddy/notebook06b510d518", "kernel_id": "161322"}, {"ref": "hmisra/notebook8d289b807e", "kernel_id": "112695"}, {"ref": "nitin90/notebook8e6e190c79", "kernel_id": "189136"}, {"ref": "kevalshah/notebookfcf8d902bd", "kernel_id": "198700"}, {"ref": "kevalshah/exploratory-analysis-in-r", "kernel_id": "198701"}, {"ref": "kevalshah/notebook7753c1233a", "kernel_id": "198208"}, {"ref": "kevalshah/exploratory-data-analysis-pca-regression", "kernel_id": "217151"}, {"ref": "kevalshah/notebook56bf3db4e6", "kernel_id": "218826"}, {"ref": "wijnand/notebookbcfe531d2c", "kernel_id": "154797"}, {"ref": "alexrich/regularized-linear-models", "kernel_id": "179561"}, {"ref": "alexrich/house-prices-eda", "kernel_id": "179564"}, {"ref": "alexrich/regularized-linear-models-2afc2851", "kernel_id": "179565"}, {"ref": "ivanorlov/optimization-of-universal-prediction", "kernel_id": "966902"}, {"ref": "shivam27/near-zero-variance-predictors", "kernel_id": "93910"}, {"ref": "shivam27/notebook2fc59f7aef", "kernel_id": "93917"}, {"ref": "iamcarbonatedmilk/comprehensive-data-exploration-with-python", "kernel_id": "194612"}, {"ref": "iamcarbonatedmilk/notebooke8d45ece48", "kernel_id": "193897"}, {"ref": "joshuacortez/house-prices", "kernel_id": "126206"}, {"ref": "joshuacortez/notebook2fc9798b20", "kernel_id": "126531"}, {"ref": "bennie/notebookc89fc042d2", "kernel_id": "261108"}, {"ref": "bennie/data-explore", "kernel_id": "261112"}, {"ref": "ericyh/notebook2c209ad80f", "kernel_id": "166083"}, {"ref": "pshall/notebook0c49cf59e6", "kernel_id": "113635"}, {"ref": "pshall/prediction-usign-lasso-and-random-forest", "kernel_id": "102290"}, {"ref": "pshall/fork-of-prediction-using-lasso-and-random-forest", "kernel_id": "102300"}, {"ref": "tadepalli/xgboost-with-n-trees-autostop-0-12638", "kernel_id": "94249"}, {"ref": "datadiger/visualizing-missing-values", "kernel_id": "182477"}, {"ref": "benybrahim/notebooka5765b3dfb", "kernel_id": "114822"}, {"ref": "benybrahim/benybrahim", "kernel_id": "115596"}, {"ref": "datadu/notebook68f870f998", "kernel_id": "92942"}, {"ref": "hamonk/regularized-linear-models", "kernel_id": "141376"}, {"ref": "hamonk/notebookf014044641", "kernel_id": "140786"}, {"ref": "hamonk/regularized-linear-models-1c1c6c62", "kernel_id": "145168"}, {"ref": "endintears/simple-random-forest", "kernel_id": "92601"}, {"ref": "endintears/data-exploration", "kernel_id": "92602"}, {"ref": "lukeschollmeyer/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "139224"}, {"ref": "charan19/predicting-housing-prices-regularized-regression", "kernel_id": "168455"}, {"ref": "charan19/lasso-model-for-regression-problem", "kernel_id": "177210"}, {"ref": "chuttipayanblr/eda-of-house-prices", "kernel_id": "978084"}, {"ref": "efbbrown/notebookdcdb68b92e", "kernel_id": "105744"}, {"ref": "efbbrown/01-inspect", "kernel_id": "105387"}, {"ref": "efbbrown/01-inspect-r", "kernel_id": "105405"}, {"ref": "efbbrown/simple-linear-regression", "kernel_id": "106414"}, {"ref": "efbbrown/01-knn-regressor", "kernel_id": "106079"}, {"ref": "nirant/linear-regression-with-ridge-regularization", "kernel_id": "173316"}, {"ref": "andykaggle/notebookb4614eb086", "kernel_id": "153021"}, {"ref": "pierluca/regularized-linear-models", "kernel_id": "118733"}, {"ref": "opanichev/ensemble-of-4-models-with-cv-lb-0-11489", "kernel_id": "152673"}, {"ref": "qmaruf/regularized-linear-models-ef2b1d65", "kernel_id": "102673"}, {"ref": "qmaruf/regularized-linear-models", "kernel_id": "102482"}, {"ref": "qmaruf/notebook44688d615f-b18084d7", "kernel_id": "103226"}, {"ref": "qmaruf/regularized-linear-models-5cf679b4", "kernel_id": "103728"}, {"ref": "qmaruf/notebook44688d615f-0cf957b3", "kernel_id": "103511"}, {"ref": "qmaruf/notebook44688d615f", "kernel_id": "101925"}, {"ref": "darshansharma007/regularized-linear-models", "kernel_id": "103621"}, {"ref": "billskelly/notebook6535d24b58", "kernel_id": "109696"}, {"ref": "billskelly/notebookd81aa8ad2e", "kernel_id": "109620"}, {"ref": "kruegger/xgb-lasso-ensemble-lb-0-11805", "kernel_id": "277736"}, {"ref": "pkdesai/lasso-model-for-regression-problem-6cbcc9e1", "kernel_id": "137188"}, {"ref": "pkdesai/lasso-model-for-regression-problem", "kernel_id": "117738"}, {"ref": "zhiliweng/xgboost-ridge-lasso", "kernel_id": "107240"}, {"ref": "vanyaslobodchikov/linear-reg", "kernel_id": "183816"}, {"ref": "vanyaslobodchikov/notebookdf2dd8a922", "kernel_id": "199771"}, {"ref": "vanyaslobodchikov/ridged-lasso-elastic-lars", "kernel_id": "199774"}, {"ref": "keshavkumar/learning-machine-learning", "kernel_id": "550253"}, {"ref": "iliasfl/notebook98eba5db4a", "kernel_id": "162103"}, {"ref": "iliasfl/notebookf55dacc530", "kernel_id": "162106"}, {"ref": "iliasfl/attempt1", "kernel_id": "162109"}, {"ref": "iliasfl/notebook19bce75d5b", "kernel_id": "156037"}, {"ref": "tejainece/regularized-linear-models", "kernel_id": "199426"}, {"ref": "tejainece/comprehensive-data-exploration-with-python", "kernel_id": "202909"}, {"ref": "tejainece/notebook1158032e99", "kernel_id": "202902"}, {"ref": "krishna9/regularized-linear-models", "kernel_id": "152344"}, {"ref": "bugrabalkac/regression", "kernel_id": "130933"}, {"ref": "bugrabalkac/solution", "kernel_id": "161597"}, {"ref": "sriramsitharaman/xgboost-ridge-lasso", "kernel_id": "117478"}, {"ref": "scottiek4431/detailed-exploratory-data-analysis-using-r", "kernel_id": "131312"}, {"ref": "avt1986/ahoy-all-relevant-guests-on-board-let-s-sail", "kernel_id": "131110"}, {"ref": "johndelaney/regularized-linear-models", "kernel_id": "150781"}, {"ref": "suniti/fork-of-detailed-data-exploration-in-python", "kernel_id": "173164"}, {"ref": "suniti/detailed-data-exploration-in-python", "kernel_id": "101238"}, {"ref": "shan4224/regularized-linear-models", "kernel_id": "175330"}, {"ref": "joshuaslocum/notebook9aa0aef7db", "kernel_id": "93177"}, {"ref": "timhill/notebookc94dd3be2d", "kernel_id": "99806"}, {"ref": "garydee/house-prices-under-the-hammer", "kernel_id": "95190"}, {"ref": "garydee/keep-it-simple-not-simpler", "kernel_id": "107929"}, {"ref": "garydee/lasso-model-for-regression-problem", "kernel_id": "113502"}, {"ref": "realdeo/notebookef1971277e", "kernel_id": "94390"}, {"ref": "realdeo/fork-of-notebookef1971277e-33fe444a", "kernel_id": "98669"}, {"ref": "realdeo/fork-of-notebookef1971277e", "kernel_id": "98473"}, {"ref": "hadders/modelling-house-prices-regularisation", "kernel_id": "249728"}, {"ref": "annshe/notebook683274bca1", "kernel_id": "257459"}, {"ref": "johnnystrings/regularized-linear-models", "kernel_id": "136834"}, {"ref": "johnnystrings/script-v6", "kernel_id": "136869"}, {"ref": "ozagordi/a-clear-example-of-overfitting", "kernel_id": "108369"}, {"ref": "racarter/housing-first-pass", "kernel_id": "233469"}, {"ref": "kkremski/housing-prices-v0-1", "kernel_id": "121768"}, {"ref": "kas123/regularized-linear-models-908d1661", "kernel_id": "153588"}, {"ref": "kas123/regularized-linear-models", "kernel_id": "133674"}, {"ref": "dcarmody/housing-prices-draft", "kernel_id": "99277"}, {"ref": "akashansari/notebook0e53e1ea22", "kernel_id": "96188"}, {"ref": "reevok/house-prices-explore-features-and-xgboost", "kernel_id": "155455"}, {"ref": "reevok/house-prices-eda", "kernel_id": "181994"}, {"ref": "mariopasquato/does-rounding-help", "kernel_id": "143941"}, {"ref": "mariopasquato/linear-model-1", "kernel_id": "121438"}, {"ref": "mariopasquato/support-vector-regression", "kernel_id": "121456"}, {"ref": "mariopasquato/svm-cv", "kernel_id": "121466"}, {"ref": "mariopasquato/simplemodel", "kernel_id": "120586"}, {"ref": "mariopasquato/simplemodel-with-a-few-more-features", "kernel_id": "120603"}, {"ref": "mariopasquato/random-forest-model", "kernel_id": "120621"}, {"ref": "mariopasquato/fun-with-h2o-2", "kernel_id": "133597"}, {"ref": "mariopasquato/fun-with-h2o-3", "kernel_id": "133752"}, {"ref": "mariopasquato/fun-with-h2o", "kernel_id": "132904"}, {"ref": "debanjanbanerjee/house-sale-price-explore-19022c", "kernel_id": "199121"}, {"ref": "debanjanbanerjee/house-sale-price-explore", "kernel_id": "196839"}, {"ref": "ruslans/detailed-data-exploration-in-python", "kernel_id": "102377"}, {"ref": "sud333/career-break-problem-2", "kernel_id": "279890"}, {"ref": "cdcttr/detailed-data-exploration-in-python", "kernel_id": "109229"}, {"ref": "dvasyukova/notebookd492650e5b", "kernel_id": "94202"}, {"ref": "mrfroll/notebook5b632db0e2", "kernel_id": "104558"}, {"ref": "pointguard0/notebookd88dd1bc1f", "kernel_id": "144679"}, {"ref": "dominicdebiaso/elasticnet-xgboost-ensemble", "kernel_id": "114205"}, {"ref": "dominicdebiaso/notebook16a51d9ad3", "kernel_id": "114211"}, {"ref": "patupe/regularized-linear-models", "kernel_id": "119027"}, {"ref": "essalj/notebookda87e8b8f6", "kernel_id": "165268"}, {"ref": "essalj/notebook0a70d74fa3", "kernel_id": "165280"}, {"ref": "essalj/house-prices-explore-features-and-xgboost", "kernel_id": "165283"}, {"ref": "bisaria/handling-missing-data", "kernel_id": "99645"}, {"ref": "lokeshvarma/housing-prices-prediction-with-scikit-learn", "kernel_id": "156763"}, {"ref": "parikshitjoshi/notebook6f592630e3", "kernel_id": "150192"}, {"ref": "malay15/regularized-linear-models", "kernel_id": "160790"}, {"ref": "malay15/notebook3ee44fc5a3", "kernel_id": "160781"}, {"ref": "malay15/data-visualisation", "kernel_id": "179652"}, {"ref": "malay15/notebook2d0fa9060c", "kernel_id": "177748"}, {"ref": "rajatarora/house-py", "kernel_id": "279482"}, {"ref": "jlima21/notebook904ada9c70", "kernel_id": "113610"}, {"ref": "nareshbabral/notebook0d0713d367", "kernel_id": "132837"}, {"ref": "austinharrison/ames-notebook", "kernel_id": "184985"}, {"ref": "kskaran94/notebook8574205579", "kernel_id": "216458"}, {"ref": "kskaran94/notebook2a84690c99", "kernel_id": "238071"}, {"ref": "kskaran94/housing-prediction", "kernel_id": "238921"}, {"ref": "pratik1390/notebooke183b5bfde", "kernel_id": "195313"}, {"ref": "pratik1390/notebook6749551dab", "kernel_id": "195314"}, {"ref": "pratik1390/notebookc15821b119", "kernel_id": "176972"}, {"ref": "pratik1390/notebook4d5e09ae36", "kernel_id": "172345"}, {"ref": "esingh9/detailed-data-exploration-in-python", "kernel_id": "102194"}, {"ref": "fangfangzhu/regularized-linear-models", "kernel_id": "141028"}, {"ref": "enirtium/house-prices", "kernel_id": "234622"}, {"ref": "trsumit/notebook0317de9e69", "kernel_id": "176797"}, {"ref": "smsalah/detailed-exploratory-data-analysis-using-r-salah", "kernel_id": "278124"}, {"ref": "jlocke1979/regularized-linear-models", "kernel_id": "119618"}, {"ref": "thevachar/house-price-regression-and-feature-engineering", "kernel_id": "335399"}, {"ref": "celniker/randomforestregressor", "kernel_id": "108299"}, {"ref": "dash3143/lasso-practice", "kernel_id": "310419"}, {"ref": "liulong/notebooke1a70e24cc", "kernel_id": "222634"}, {"ref": "jpelsis/notebookb0bb149ae3", "kernel_id": "95340"}, {"ref": "alfredogmarquez/housing-prices-eda", "kernel_id": "251255"}, {"ref": "chihchung/yup-study", "kernel_id": "261730"}, {"ref": "leosartaj/handling-missing-values", "kernel_id": "878838"}, {"ref": "abny2015/housing-sale-price-regression-mlr-random-forest", "kernel_id": "168798"}, {"ref": "crankymax/notebook346f248f6e", "kernel_id": "268774"}, {"ref": "mohdtanweer/notebookbe01edf4fd", "kernel_id": "217193"}, {"ref": "awebber/top-60-predict-using-features-selection-stacked", "kernel_id": "474726"}, {"ref": "speedoheck/notebookbd55045e33", "kernel_id": "198232"}, {"ref": "speedoheck/notebooke3cf68f2db", "kernel_id": "198233"}, {"ref": "speedoheck/using-tensorflow-for-regression", "kernel_id": "197816"}, {"ref": "speedoheck/my-first-machine-learning-model", "kernel_id": "935734"}, {"ref": "thiagomatos/regularized-linear-models", "kernel_id": "181537"}, {"ref": "michaldatberg/dataexploration-and-modeling-with-h2o", "kernel_id": "144660"}, {"ref": "keykey/pca-and-regression", "kernel_id": "187206"}, {"ref": "keykey/regularized-linear-models-b357a7", "kernel_id": "186710"}, {"ref": "keykey/filling-up-missing-values", "kernel_id": "186621"}, {"ref": "keykey/regularized-linear-models", "kernel_id": "186646"}, {"ref": "keykey/house-prices-eda", "kernel_id": "185956"}, {"ref": "jpzhangv/comprehensive-data-exploration-with-python", "kernel_id": "194496"}, {"ref": "joseaguera/notebooka36b24a5cd", "kernel_id": "152734"}, {"ref": "udaychettiar/notebookf4e28e2b39", "kernel_id": "204747"}, {"ref": "sgaw88/notebooke05718c438", "kernel_id": "106537"}, {"ref": "arthas/notebook9f90124c7e", "kernel_id": "221756"}, {"ref": "xdurana/multivariate-analysis-and-correlation-matrix", "kernel_id": "389204"}, {"ref": "xdurana/gbm-simple-model", "kernel_id": "549642"}, {"ref": "victoongo/notebook0fa8aa62ba", "kernel_id": "113592"}, {"ref": "manas0712/digit-recognizer", "kernel_id": "235587"}, {"ref": "cathyxlyl/notebook9b7da27650", "kernel_id": "243513"}, {"ref": "duncan1213/notebookb6ece5f223", "kernel_id": "120624"}, {"ref": "yinghawl/notebooke44887df82", "kernel_id": "173852"}, {"ref": "yinghawl/notebook998ccea8cc", "kernel_id": "173848"}, {"ref": "inf3rn0/notebookc2b25cea0b", "kernel_id": "182032"}, {"ref": "batuhanbardak/randomforestregressor", "kernel_id": "153766"}, {"ref": "batuhanbardak/randomforestregressor0123456", "kernel_id": "153767"}, {"ref": "annielo/regularized-linear-models", "kernel_id": "173844"}, {"ref": "annielo/xgboost-ridge-lasso", "kernel_id": "173845"}, {"ref": "mcallaghan/notebookd706a8c575", "kernel_id": "176671"}, {"ref": "kuntalganguly/notebooke12ebb749c", "kernel_id": "94103"}, {"ref": "phamkhanh/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "275969"}, {"ref": "djuuuu/semma", "kernel_id": "348964"}, {"ref": "lngvietthang/house-prices-predict", "kernel_id": "229239"}, {"ref": "annavictoria/basic-linear-benchmark", "kernel_id": "92862"}, {"ref": "annavictoria/gaussian-process-regression-benchmark-test", "kernel_id": "265108"}, {"ref": "reshsekar15/notebook751491b13d", "kernel_id": "97759"}, {"ref": "rmac27/basic-linear-regression-fit-using-sklearn", "kernel_id": "392658"}, {"ref": "ogungor/notebook29b4772bd4", "kernel_id": "173058"}, {"ref": "sugh93/regression-practice", "kernel_id": "106188"}, {"ref": "abhikbanerjee/ml-labs-review-part-1", "kernel_id": "542900"}, {"ref": "ericawh/housing-data-regression", "kernel_id": "175852"}, {"ref": "yustat/thought-process-of-predicting-house-prices", "kernel_id": "134624"}, {"ref": "yustat/notebook2f923fc55b", "kernel_id": "134664"}, {"ref": "kanabo/xgboost-ridge-lasso", "kernel_id": "195152"}, {"ref": "kanabo/regularized-linear-models", "kernel_id": "195138"}, {"ref": "parking/regression", "kernel_id": "209139"}, {"ref": "gullfaxi/notebook3a13aa022d", "kernel_id": "156292"}, {"ref": "phantomchicken/regularized-linear-models", "kernel_id": "160554"}, {"ref": "phantomchicken/randomforestregressor", "kernel_id": "160610"}, {"ref": "unityculture/detailed-exploratory-data-analysis-using-r", "kernel_id": "224887"}, {"ref": "shalva/main-housing-prices", "kernel_id": "271951"}, {"ref": "shalva/first-submission-for-realz", "kernel_id": "273815"}, {"ref": "shalva/notebookfb6e80279a", "kernel_id": "273090"}, {"ref": "thekingwuyun/first-try", "kernel_id": "98188"}, {"ref": "munshinasir/handling-missing-values", "kernel_id": "902089"}, {"ref": "munshinasir/my-first-machine-learning-model", "kernel_id": "875055"}, {"ref": "wtcooper/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "152178"}, {"ref": "wtcooper/regularized-linear-models", "kernel_id": "152179"}, {"ref": "cbillman/notebookdd49e2938b", "kernel_id": "237540"}, {"ref": "bruschkov/notebook9961a76432", "kernel_id": "148336"}, {"ref": "garygan/notebookcddb75123a", "kernel_id": "155062"}, {"ref": "singkwan/housing-prices", "kernel_id": "202162"}, {"ref": "takloonng/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "154387"}, {"ref": "chapagain/house-prices-eda-visualization-prediction", "kernel_id": "353025"}, {"ref": "tdcolorado/gaussian-process-regression-benchmark", "kernel_id": "94236"}, {"ref": "shauryaverma/learning-24jan", "kernel_id": "561351"}, {"ref": "yifanma/notebook71e8e8eaca", "kernel_id": "197428"}, {"ref": "nicolopernigo/notebooka1a6d8834e", "kernel_id": "170357"}, {"ref": "ywenlu/preprocessing-pipleline-example", "kernel_id": "480816"}, {"ref": "dixit16/00-eda", "kernel_id": "278449"}, {"ref": "mcasotto/lasso-model-for-regression-problem", "kernel_id": "99267"}, {"ref": "cttsai/keras-factorized-w-dot-trial", "kernel_id": "100328"}, {"ref": "cttsai/keras-factorized-w-dot-trial-2", "kernel_id": "100409"}, {"ref": "cttsai/keras-factorized-trial", "kernel_id": "100106"}, {"ref": "cttsai/xgb-trial-oct-08", "kernel_id": "103243"}, {"ref": "cttsai/keras-trial-oct-08", "kernel_id": "103221"}, {"ref": "sandipayan/my-first-test-script", "kernel_id": "96698"}, {"ref": "jitesh034/notebookd9f53aad3b", "kernel_id": "235704"}, {"ref": "ndilsou/training-sandbox", "kernel_id": "129635"}, {"ref": "jivanroquet/randomforest-linearregression", "kernel_id": "112498"}, {"ref": "jivanroquet/notebook78e376d54d", "kernel_id": "112145"}, {"ref": "fcantkaggle/notebooke1338e7638", "kernel_id": "133696"}, {"ref": "houlmer/housing-price-prediction-w-sklearn", "kernel_id": "120077"}, {"ref": "poonaml/house-prices-data-exploration-and-visualisation", "kernel_id": "172777"}, {"ref": "ashishdutt/ahoy-all-relevant-guests-on-board-let-s-sail", "kernel_id": "93240"}, {"ref": "ashishdutt/need-to-delete-this-script", "kernel_id": "93082"}, {"ref": "ashishdutt/exploratory-and-inferential-data-analysis", "kernel_id": "93131"}, {"ref": "ashishdutt/basiclr-model1", "kernel_id": "94048"}, {"ref": "victorchenli/tensorflow-for-houseprice", "kernel_id": "363995"}, {"ref": "axelderomblay/running-mlbox-auto-ml-package-on-house-prices", "kernel_id": "344597"}, {"ref": "midhun/notebook3e8c664ceb", "kernel_id": "225340"}, {"ref": "fanpeng2/random-forest", "kernel_id": "252645"}, {"ref": "fanpeng2/fork-of-random-forest-fa143e", "kernel_id": "257903"}, {"ref": "lsaa2014/eda-of-ames-house-prices", "kernel_id": "620194"}, {"ref": "cfchan/predict-house-prices-xgboost", "kernel_id": "375908"}, {"ref": "iamyoda/notebookdb6d707ac3", "kernel_id": "237288"}, {"ref": "jacobhumber/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "230414"}, {"ref": "loic74/clean-boston-housing-data-for-tensorflow", "kernel_id": "165332"}, {"ref": "davidwoudenberg/notebooka2d02b780d", "kernel_id": "173375"}, {"ref": "davidwoudenberg/notebooka440241d7f", "kernel_id": "177285"}, {"ref": "leeseng/practicing-tutorial", "kernel_id": "226381"}, {"ref": "amanzotti/notebookb1d18191df", "kernel_id": "94750"}, {"ref": "amanzotti/data-exploration", "kernel_id": "97991"}, {"ref": "rcharmmer/notebook4c8fdcf6d4", "kernel_id": "93081"}, {"ref": "sketul/notebook091acd875f", "kernel_id": "215815"}, {"ref": "shaivikochar/stacking-starter", "kernel_id": "161416"}, {"ref": "dataeinstein/houseprices", "kernel_id": "131448"}, {"ref": "nestorghh/notebook690aa00255", "kernel_id": "200552"}, {"ref": "inverse1/test2", "kernel_id": "227586"}, {"ref": "inverse1/test3", "kernel_id": "226865"}, {"ref": "shuangwu/my-first-model", "kernel_id": "564158"}, {"ref": "shakos/deci-trees", "kernel_id": "945330"}, {"ref": "bharat77/regularized-linear-models-25e22a97", "kernel_id": "115827"}, {"ref": "mohitlimje/notebookf672a18985", "kernel_id": "273243"}, {"ref": "yihming/python-data-exploration", "kernel_id": "172577"}, {"ref": "hafidz/gdp-ai-friday-notebook", "kernel_id": "565971"}, {"ref": "tianshuren/notebookef61d0483a", "kernel_id": "373980"}, {"ref": "kevinwong/notebookffbfbf7875", "kernel_id": "117306"}, {"ref": "jankoch/notebook73077f0ea2", "kernel_id": "101049"}, {"ref": "jankoch/notebooked7c7cc558", "kernel_id": "110095"}, {"ref": "jankoch/scikit-learn-pipelines-and-pandas", "kernel_id": "110900"}, {"ref": "jitesh03/houseprice-nb", "kernel_id": "155782"}, {"ref": "jitesh03/notebookf4f293b62c", "kernel_id": "93409"}, {"ref": "jitesh03/notebook42835160e4", "kernel_id": "93643"}, {"ref": "jitesh03/notebook2767f966b5", "kernel_id": "97151"}, {"ref": "buaahsh/notebook349472d8a5", "kernel_id": "208089"}, {"ref": "chemaplana/the-accountant-house-pricing", "kernel_id": "742102"}, {"ref": "harshit158/detailed-data-exploration-in-python", "kernel_id": "166087"}, {"ref": "harshit158/detailed-data-exploration-in-python-65f0b941", "kernel_id": "168027"}, {"ref": "gobithemansoe/notebookd771fb4ad4", "kernel_id": "220670"}, {"ref": "muppal/regularized-linear-models", "kernel_id": "159587"}, {"ref": "muppal/regularized-linear-models-ab341789", "kernel_id": "161069"}, {"ref": "muppal/detailed-data-exploration-in-python", "kernel_id": "161060"}, {"ref": "bluebonnettx/python-playground", "kernel_id": "216883"}, {"ref": "yib2irvine/notebook1773dc9a63", "kernel_id": "240349"}, {"ref": "yib2irvine/notebook2680ece02f", "kernel_id": "240351"}, {"ref": "mikesm/notebook35b64173c3", "kernel_id": "92769"}, {"ref": "irfaandomun/notebookf27e4acda2", "kernel_id": "139883"}, {"ref": "lukeaus/regularized-linear-models-53ad37e4", "kernel_id": "177025"}, {"ref": "lukeaus/regularized-linear-models", "kernel_id": "177021"}, {"ref": "breandan/notebook2262e10577", "kernel_id": "248296"}, {"ref": "breandan/hands-on-tensorflow-and-scikit-learn", "kernel_id": "248297"}, {"ref": "eelcowiechert/notebook3169dcca35", "kernel_id": "194445"}, {"ref": "manaranjan/comparing-lin-regression-ridge-lasso", "kernel_id": "176377"}, {"ref": "proowl/notebookcb9aaa2097", "kernel_id": "216195"}, {"ref": "shankarpandala/fork-of-housing-prices-predicition-in-r", "kernel_id": "97493"}, {"ref": "shankarpandala/housing-prices-predicition-in-r", "kernel_id": "97466"}, {"ref": "shankarpandala/notebookd0e3b5e82e", "kernel_id": "97970"}, {"ref": "shankarpandala/different-regression-models", "kernel_id": "110773"}, {"ref": "zczh0107/filling-up-missing-values", "kernel_id": "170506"}, {"ref": "yoannjanvier/notebook2f71a208fd", "kernel_id": "161569"}, {"ref": "scabada/house-test", "kernel_id": "342174"}, {"ref": "josess1990/regression-v1", "kernel_id": "210103"}, {"ref": "jeroniimo/notebook1c8f4fc92a", "kernel_id": "210130"}, {"ref": "vicyap/regularized-linear-models", "kernel_id": "97735"}, {"ref": "joe8767/notebook37c252a62d", "kernel_id": "94261"}, {"ref": "ymcdull/randomforestregressor-a4691c2e", "kernel_id": "115631"}, {"ref": "ymcdull/randomforestregressor", "kernel_id": "115587"}, {"ref": "ymcdull/regularized-linear-models", "kernel_id": "115262"}, {"ref": "liuliuforph/regularized-linear-models-0292fe2f", "kernel_id": "99081"}, {"ref": "liuliuforph/regularized-linear-models", "kernel_id": "97122"}, {"ref": "junghun/ensemble-of-4-models-with-cv-lb-0-11489", "kernel_id": "163238"}, {"ref": "garethausten/notebookec6c8caa3c", "kernel_id": "228848"}, {"ref": "nodata/house-prices", "kernel_id": "238699"}, {"ref": "ravianand87/housing-test-script", "kernel_id": "691179"}, {"ref": "sabihachoudhry/notebook74706b9528", "kernel_id": "130566"}, {"ref": "jackeylu/notebook64b83c2448", "kernel_id": "111996"}, {"ref": "islem75/predict-house-prices-with-xgboost-regression", "kernel_id": "108328"}, {"ref": "kamalkishor1991/notebook0cab2e558c", "kernel_id": "276971"}, {"ref": "sondajtek15/notebook208849678d", "kernel_id": "235923"}, {"ref": "sondajtek15/notebook7fd8b48447", "kernel_id": "237595"}, {"ref": "lucasmoura/tensorflow-estimator-for-house-prices", "kernel_id": "816425"}, {"ref": "sankethmopuru/regularized-linear-models", "kernel_id": "99916"}, {"ref": "sankethmopuru/notebook06a9f4e762", "kernel_id": "95684"}, {"ref": "shifanmao/notebooke98a71771e", "kernel_id": "171564"}, {"ref": "nikola8812/detailed-exploratory-data-analysis-using-r", "kernel_id": "145262"}, {"ref": "mromann/notebook8a96e338a8", "kernel_id": "120637"}, {"ref": "mromann/notebook5a33377b44", "kernel_id": "148291"}, {"ref": "rajathithan/my-model-ml-edu-track-1", "kernel_id": "667350"}, {"ref": "chengxuyuanxiaowang/sadf-py", "kernel_id": "186174"}, {"ref": "dejavu319/house-price-prediction", "kernel_id": "461614"}, {"ref": "commjuve/regularized-linear-models", "kernel_id": "152845"}, {"ref": "challenge2siva/detailed-data-analysis-ensemble-modeling", "kernel_id": "252324"}, {"ref": "mkesselaers/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "262959"}, {"ref": "mkesselaers/a-study-on-regression-applied-to-the-ames-d-e054f5", "kernel_id": "262970"}, {"ref": "mkesselaers/house-prices", "kernel_id": "261949"}, {"ref": "wawanco/lasso-regression", "kernel_id": "98258"}, {"ref": "wawanco/random-forest-regressor", "kernel_id": "98784"}, {"ref": "wawanco/notebook4692f9dbbe", "kernel_id": "98936"}, {"ref": "wawanco/discovering-house-price", "kernel_id": "97430"}, {"ref": "wawanco/unskew-data", "kernel_id": "97588"}, {"ref": "honzap/notebook50f9cb9123", "kernel_id": "159979"}, {"ref": "shawnxiang/gaussian-process-regression-benchmark", "kernel_id": "109842"}, {"ref": "agik01/regularized-linear-models", "kernel_id": "188325"}, {"ref": "parkhwin/notebook403464056d", "kernel_id": "212219"}, {"ref": "aviadel/notebook004b2f8541", "kernel_id": "235811"}, {"ref": "champion1955/notebook87d0ccca39", "kernel_id": "214441"}, {"ref": "liziyuann/stat-presentation", "kernel_id": "209279"}, {"ref": "liziyuann/heyheyheyhey", "kernel_id": "209292"}, {"ref": "liziyuann/shenmeguia", "kernel_id": "209297"}, {"ref": "liziyuann/hahahahahahah", "kernel_id": "209308"}, {"ref": "liziyuann/testtesttest", "kernel_id": "209311"}, {"ref": "liziyuann/notebook92c414f24e", "kernel_id": "200077"}, {"ref": "liziyuann/notebook04d55d6e19", "kernel_id": "204541"}, {"ref": "liziyuann/detailed-data-exploration-in-python", "kernel_id": "105983"}, {"ref": "mwpeters/regularized-linear-models", "kernel_id": "133291"}, {"ref": "ramirojc/myexploration1", "kernel_id": "141599"}, {"ref": "ramirojc/notebook92866d71c6", "kernel_id": "125718"}, {"ref": "ramirojc/notebooka90ba6061d", "kernel_id": "125828"}, {"ref": "ramirojc/xgboost-lasso", "kernel_id": "125838"}, {"ref": "ramirojc/notebook4552af6546", "kernel_id": "125841"}, {"ref": "kputnam/notebook4d407022d8", "kernel_id": "93708"}, {"ref": "wonyonyon/notebook7fdda9b81d", "kernel_id": "178672"}, {"ref": "mrbeer/xgboost-with-simple-automl", "kernel_id": "94129"}, {"ref": "mrbeer/rfr-with-cv-and-grid-optimization", "kernel_id": "94056"}, {"ref": "zhoudeng/detailed-data-exploration-in-python", "kernel_id": "115874"}, {"ref": "maheshkkumar/notebook972b6695fb", "kernel_id": "215596"}, {"ref": "maheshkkumar/notebook3ae97fd176", "kernel_id": "218882"}, {"ref": "ankit25/notebook1016256b0c", "kernel_id": "167962"}, {"ref": "lgadsden/notebook51f2b98d83", "kernel_id": "194828"}, {"ref": "lgadsden/first-manip", "kernel_id": "194829"}, {"ref": "lgadsden/notebook72637e91d8", "kernel_id": "186625"}, {"ref": "lgadsden/housing-run-thru", "kernel_id": "186644"}, {"ref": "lgadsden/notebookb8ffae53f6", "kernel_id": "193466"}, {"ref": "roundegg/notebook6f98a817f8", "kernel_id": "223618"}, {"ref": "neviadomski/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "175449"}, {"ref": "philerooski/notebooka051008dcb", "kernel_id": "195790"}, {"ref": "tsyrendylykova/notebook638a7bffb2", "kernel_id": "139091"}, {"ref": "tsyrendylykova/house-prise", "kernel_id": "139115"}, {"ref": "tsyrendylykova/notebook1c697230de", "kernel_id": "154727"}, {"ref": "tsyrendylykova/notebookdd322bbe14", "kernel_id": "135116"}, {"ref": "tsyrendylykova/notebook6896f66999", "kernel_id": "135046"}, {"ref": "tsyrendylykova/notebookf1c58c9aa5", "kernel_id": "135047"}, {"ref": "take0033/notebooka1beb33b3f", "kernel_id": "162968"}, {"ref": "subbu2994/regularized-linear-models", "kernel_id": "123837"}, {"ref": "pmathur/regularized-linear-models-a3e1dfad", "kernel_id": "121838"}, {"ref": "sujatha/filling-in-the-missing-lotfrontage-values", "kernel_id": "114463"}, {"ref": "sujatha/regularized-linear-models", "kernel_id": "114386"}, {"ref": "kcarroll/linear-model-from-journal-pdf", "kernel_id": "110096"}, {"ref": "gayathrimn/regularized-linear-models", "kernel_id": "144402"}, {"ref": "nick898/descriptive-statistics-for-housing-prices", "kernel_id": "137171"}, {"ref": "nick898/handling-missing-data", "kernel_id": "137061"}, {"ref": "mariofebbraio/notebook02051aced4", "kernel_id": "117339"}, {"ref": "guosch/regularized-linear-models", "kernel_id": "206392"}, {"ref": "xunxun87/house-prices-data-exploration-and-visualisation", "kernel_id": "180520"}, {"ref": "ankitagrawal/notebook77964c5aa7", "kernel_id": "188017"}, {"ref": "marinaballerina/randomforestregressor", "kernel_id": "98136"}, {"ref": "vengaybanzai/notebook52e536d808", "kernel_id": "220337"}, {"ref": "liaopan/a-simple-trial", "kernel_id": "183481"}, {"ref": "pkjain/house-rent-eda-xgboost", "kernel_id": "667006"}, {"ref": "sukumarburra/my-first-machine-learning-model", "kernel_id": "867349"}, {"ref": "sukumarburra/handling-missing-values-for-house-prediction", "kernel_id": "887524"}, {"ref": "maxcon/script-v62", "kernel_id": "136655"}, {"ref": "varunsharma3/notebook226f4cc372", "kernel_id": "134776"}, {"ref": "tmckinney/housing-prices-prediction-with-scikit-learn", "kernel_id": "156780"}, {"ref": "silpa1/x-eda-rawdata", "kernel_id": "212470"}, {"ref": "minsudanielkim/regularized-linear-models", "kernel_id": "122259"}, {"ref": "matthewshirley/house-prices-test", "kernel_id": "97969"}, {"ref": "peopleanalytics/housing-price-prediction", "kernel_id": "271280"}, {"ref": "peopleanalytics/house-price-prediction-by-anurag", "kernel_id": "264701"}, {"ref": "valbo88/valerio-burini", "kernel_id": "371492"}, {"ref": "shawnheide/regularized-linear-models", "kernel_id": "96715"}, {"ref": "asankaperera/notebook49ced8a0ba", "kernel_id": "254983"}, {"ref": "sn3fru/a-tour-of-the-main-concepts-of-a-price-predictor", "kernel_id": "375688"}, {"ref": "sn3fru/a-tour-of-data-science-using-the-price-prediction", "kernel_id": "375725"}, {"ref": "danielminsukim/preprocessing-feature-engineering-eda-modeling", "kernel_id": "129254"}, {"ref": "rayvilo/notebook98d14c82ae", "kernel_id": "224022"}, {"ref": "filipacsr/notebook4e724762f3", "kernel_id": "155712"}, {"ref": "filipacsr/interactive-features-visualisation", "kernel_id": "155696"}, {"ref": "mwolfit/notebookec38bae9e1", "kernel_id": "237064"}, {"ref": "chikenfeet/hp-cf-1", "kernel_id": "160912"}, {"ref": "sterby/gaussian-process-regression-benchmark", "kernel_id": "92869"}, {"ref": "nishioka/notebookdd4615867f", "kernel_id": "231551"}, {"ref": "nishioka/detailed-data-analysis-ensemble-modeling", "kernel_id": "232245"}, {"ref": "nishioka/notebookb11a148c14", "kernel_id": "242108"}, {"ref": "harshen/notebookfc2e0fb93e", "kernel_id": "102496"}, {"ref": "dongxu027/xgboost-ridge-lasso", "kernel_id": "184144"}, {"ref": "dongxu027/lasso-model-for-regression-problem", "kernel_id": "188228"}, {"ref": "squeegie/notebook1e20adcd50", "kernel_id": "275759"}, {"ref": "faalbo/regularized-linear-models", "kernel_id": "105549"}, {"ref": "yunching/notebook05463e0582", "kernel_id": "228075"}, {"ref": "harshbansal/notebookeb6b0829f6", "kernel_id": "257171"}, {"ref": "shubham1/sa-house-prices", "kernel_id": "973196"}, {"ref": "bluebook/filling-up-missing-values", "kernel_id": "196975"}, {"ref": "pabgamu/notebook2da56613ee", "kernel_id": "100502"}, {"ref": "sreenivas134/house-price-predictor", "kernel_id": "249220"}, {"ref": "tkngch/data-exploration-in-r-housing-prices", "kernel_id": "235146"}, {"ref": "jializhang/predicting-housing-prices-regularized-regression", "kernel_id": "175289"}, {"ref": "lajh87/linear-model", "kernel_id": "165747"}, {"ref": "lajh87/exploratory-data-analysis", "kernel_id": "165838"}, {"ref": "lajh87/house-prices-eda", "kernel_id": "161037"}, {"ref": "zacklarsen/ames-regression", "kernel_id": "368072"}, {"ref": "paulliu/regularized-linear-models", "kernel_id": "149687"}, {"ref": "wikhung/notebook44688d615f", "kernel_id": "99514"}, {"ref": "wikhung/2-level-stacked-generalization", "kernel_id": "98870"}, {"ref": "oparex/notebook60c3641ef3", "kernel_id": "128670"}, {"ref": "vamsikrishna/basic-eda-and-xgboost", "kernel_id": "307138"}, {"ref": "toniog07/data-prep-and-lasso", "kernel_id": "183336"}, {"ref": "daniuatchina/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "139167"}, {"ref": "daniuatchina/notebook4f226e31a8", "kernel_id": "139158"}, {"ref": "daniuatchina/houseprice", "kernel_id": "139159"}, {"ref": "daniuatchina/notebook83dc9e08a1", "kernel_id": "139173"}, {"ref": "macieklesiczka/stack-4-models-with-boruta-selection", "kernel_id": "308118"}, {"ref": "wasdee/nans-co-occurance", "kernel_id": "162595"}, {"ref": "wasdee/house-prices-explore-features-and-xgboost", "kernel_id": "162558"}, {"ref": "vasylp/script2", "kernel_id": "193988"}, {"ref": "history/house-price-data-exploration", "kernel_id": "264932"}, {"ref": "shannond/regularized-linear-models", "kernel_id": "164633"}, {"ref": "rinalin/advanced-regression-gradientdescentregressor", "kernel_id": "216983"}, {"ref": "rinalin/regression-exercise-elastic-net", "kernel_id": "226712"}, {"ref": "rinalin/regression-exercise-xgbboost", "kernel_id": "220120"}, {"ref": "rinalin/advanced-regression-lasso-regression", "kernel_id": "222299"}, {"ref": "ricardorios/missing-r", "kernel_id": "97017"}, {"ref": "hnkryden/lasso", "kernel_id": "194357"}, {"ref": "philzhang/regularized-linear-models", "kernel_id": "99550"}, {"ref": "sathish479/house-prices", "kernel_id": "106567"}, {"ref": "vvandamme/lasso-model-for-regression-problem", "kernel_id": "103801"}, {"ref": "vinodmang/eenet-model", "kernel_id": "157622"}, {"ref": "chaitanyasai/notebooked21b1f634", "kernel_id": "254365"}, {"ref": "keitawatanabe/notebookb95d6f93be", "kernel_id": "108301"}, {"ref": "kaulad/regularized-linear-models", "kernel_id": "108569"}, {"ref": "kaulad/regularized-linear-models-c9a1241a", "kernel_id": "108658"}, {"ref": "kaulad/detailed-data-exploration-in-python", "kernel_id": "182678"}, {"ref": "kaulad/house-prices-data-exploration-and-visualisation", "kernel_id": "182549"}, {"ref": "mariopm/r-xgboost-starter", "kernel_id": "116411"}, {"ref": "aaron7sun/you-got-this-feature-engineering-and-lasso", "kernel_id": "107373"}, {"ref": "ibacaraujo/my-first-machine-learning-model", "kernel_id": "795995"}, {"ref": "kanu13k/let-s-play", "kernel_id": "99454"}, {"ref": "valiavee/boston-house-pricing-competition-a-z", "kernel_id": "949371"}, {"ref": "srikadiyala/my-first-kaggle-kernel", "kernel_id": "254717"}, {"ref": "burakhmmtgl/r-xgboost-starter", "kernel_id": "93539"}, {"ref": "burakhmmtgl/support-vector-machines-regression-with-r", "kernel_id": "103070"}, {"ref": "burakhmmtgl/notebook04f70f026b", "kernel_id": "103018"}, {"ref": "burakhmmtgl/regularized-linear-models", "kernel_id": "131364"}, {"ref": "okulik/ensemble-model-stacked-model-example", "kernel_id": "110935"}, {"ref": "yoyocm/regularized-linear-models", "kernel_id": "97874"}, {"ref": "sasali/data-preparation-and-svm-regression", "kernel_id": "119124"}, {"ref": "yzhuang/notebookec6dbb18bb", "kernel_id": "163877"}, {"ref": "yzhuang/regularized-linear-models", "kernel_id": "191439"}, {"ref": "willydewilde/casas-test-1", "kernel_id": "107696"}, {"ref": "manivasakam/notebook1886d47a9a", "kernel_id": "155959"}, {"ref": "rusharp/notebooke899548268", "kernel_id": "235822"}, {"ref": "wilberbeast/regularized-linear-models", "kernel_id": "182107"}, {"ref": "crawshay/regularized-linear-models", "kernel_id": "112184"}, {"ref": "aneeshdash/linear-regression-with-drop-columns", "kernel_id": "168495"}, {"ref": "aneeshdash/ridge-lasso", "kernel_id": "168496"}, {"ref": "aneeshdash/linear-regression", "kernel_id": "168491"}, {"ref": "zazueta/notebook3df03ab3f2", "kernel_id": "118402"}, {"ref": "kraskevich/regularized-linear-models", "kernel_id": "110500"}, {"ref": "tentotheminus9/linear-regression-from-scratch-gradient-descent", "kernel_id": "185308"}, {"ref": "zhonglongshen/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "175699"}, {"ref": "natesh2310/detailed-exploratory-data-analysis-in-r", "kernel_id": "194182"}, {"ref": "mineshjethva/let-s-do-the-minimal", "kernel_id": "765818"}, {"ref": "mineshjethva/beginner-elasticnet", "kernel_id": "824714"}, {"ref": "mineshjethva/the-minimal-normalize-x-skew-y-exploratory", "kernel_id": "817758"}, {"ref": "mineshjethva/the-minimal-normalize-x-y", "kernel_id": "814411"}, {"ref": "mineshjethva/the-minimal-normalize-x-skew-y", "kernel_id": "814441"}, {"ref": "mineshjethva/the-minimal-normalize-x", "kernel_id": "814234"}, {"ref": "mineshjethva/the-minimal-normalize-x-skew-y-categoricals", "kernel_id": "814894"}, {"ref": "balutry96/notebook259108b63e", "kernel_id": "262876"}, {"ref": "knsamy/eda-in-python", "kernel_id": "94025"}, {"ref": "siyaozheng/notebookad2490a16b", "kernel_id": "131814"}, {"ref": "siyaozheng/notebook69231de677", "kernel_id": "129524"}, {"ref": "siyaozheng/notebooke19207e741", "kernel_id": "129540"}, {"ref": "tzuica/notebook12b7bd5fc1", "kernel_id": "172036"}, {"ref": "jiangh52/regularized-linear-models", "kernel_id": "143398"}, {"ref": "jiangh52/regularized-linear-models-c3dd3122", "kernel_id": "143585"}, {"ref": "aognev/notebook661ba497fc", "kernel_id": "125997"}, {"ref": "viswanathravindran/houseprediction-attempt-ridge-lasso-elastic", "kernel_id": "248184"}, {"ref": "su20yu1919/takuya-and-bill-submission", "kernel_id": "101225"}, {"ref": "jccschreiber/myfirstcompetition", "kernel_id": "104976"}, {"ref": "cteant/house-price-prediction-lasso", "kernel_id": "265447"}, {"ref": "javierfinez/ahoy-all-relevant-guests-on-board-let-s-sail", "kernel_id": "98967"}, {"ref": "larryzh08/footest-1", "kernel_id": "127162"}, {"ref": "larryzh08/footest1", "kernel_id": "127167"}, {"ref": "larryzh08/detailed-data-exploration-in-python", "kernel_id": "127181"}, {"ref": "larryzh08/notebook0ed2cf8c13", "kernel_id": "127182"}, {"ref": "larryzh08/notebook05392c71fb", "kernel_id": "127191"}, {"ref": "larryzh08/notebook8bba164a44", "kernel_id": "128138"}, {"ref": "prise6/notebook1e519c30ad", "kernel_id": "220016"}, {"ref": "prise6/stacking-lasso-gbm-rf-stacking-0-118", "kernel_id": "220042"}, {"ref": "a3be264fb1/lasso", "kernel_id": "116428"}, {"ref": "salilchitnis/real-estate-predictions-analyzing-simple-models", "kernel_id": "392446"}, {"ref": "sebstr/notebooked121b0f39", "kernel_id": "152928"}, {"ref": "kishorevbhosale/submitting-from-a-kernel-361de8", "kernel_id": "604508"}, {"ref": "doobopp/first-attempt", "kernel_id": "252849"}, {"ref": "miladalshomary/predicting-housprices", "kernel_id": "216925"}, {"ref": "yinanxu/notebook343fd3a5be", "kernel_id": "94143"}, {"ref": "prosperfy/regularized-linear-models", "kernel_id": "101794"}, {"ref": "iyerashwathi/ames-house-price-dataset", "kernel_id": "279904"}, {"ref": "iyerashwathi/house-prices-ames-dataset", "kernel_id": "279911"}, {"ref": "arcarchit/bayesian-lasso", "kernel_id": "223696"}, {"ref": "arcarchit/final-submission", "kernel_id": "195800"}, {"ref": "arcarchit/detailed-data-exploration-in-python", "kernel_id": "164104"}, {"ref": "arcarchit/first-kaggle-notebook", "kernel_id": "177885"}, {"ref": "arcarchit/xgboost", "kernel_id": "178767"}, {"ref": "arcarchit/xgboost2", "kernel_id": "178768"}, {"ref": "arcarchit/final-submission-after-missing-data", "kernel_id": "234972"}, {"ref": "sunnybest1990/notebook8304907479", "kernel_id": "159063"}, {"ref": "lutf93/notebook011a716f2a", "kernel_id": "213883"}, {"ref": "solegalli/feature-engineering-for-house-price-modelling", "kernel_id": "468939"}, {"ref": "vasaibaby/svm-on-cleansed-data", "kernel_id": "176349"}, {"ref": "captcalculator/imputing-missing-data-with-the-mice-package-in-r", "kernel_id": "108456"}, {"ref": "captcalculator/extensive-exploratory-analysis", "kernel_id": "106223"}, {"ref": "captcalculator/random-forest-missing-data-imputed-lb-0-15604", "kernel_id": "110597"}, {"ref": "rishabhdabral/notebookfe149c2f18", "kernel_id": "126882"}, {"ref": "rishabhdabral/notebooke15371b942", "kernel_id": "126878"}, {"ref": "kaypark/testtest", "kernel_id": "257475"}, {"ref": "kaypark/notebooka06ceda3a5", "kernel_id": "256789"}, {"ref": "djonafegnem/sale-price-prediction-python", "kernel_id": "142653"}, {"ref": "djonafegnem/notebook655d8e31bf", "kernel_id": "117428"}, {"ref": "djonafegnem/house-sale-price-predictions", "kernel_id": "117466"}, {"ref": "shinto/from-benchmark-step-by-step", "kernel_id": "103156"}, {"ref": "krishnarajvr/regularized-linear-models", "kernel_id": "159887"}, {"ref": "iamchanchal/feature-impotance-random-forest-regressor", "kernel_id": "96912"}, {"ref": "asafle/eda-and-comparing-ml-algorithms", "kernel_id": "193504"}, {"ref": "matitang/notebook8090ef41aa", "kernel_id": "237153"}, {"ref": "dfitzgerald3/randomforestregressor", "kernel_id": "98007"}, {"ref": "dfitzgerald3/fork-of-randomforestregressor", "kernel_id": "98199"}, {"ref": "dfitzgerald3/optimizing-ridge-regression-parameterization", "kernel_id": "99702"}, {"ref": "rspeare/notebookdb72d71370", "kernel_id": "265054"}, {"ref": "armaniferrante/regularized-linear-models-008d2f42", "kernel_id": "150097"}, {"ref": "armaniferrante/notebook1cc08ac1f3", "kernel_id": "148902"}, {"ref": "cokeman/notebook4077e729b0", "kernel_id": "248384"}, {"ref": "xiongqiangcs/notebookfe3de89ba5", "kernel_id": "208163"}, {"ref": "manojagr/my-first-xgboost-what-am-i-doing-wrong", "kernel_id": "223266"}, {"ref": "manojagr/fork-of-my-first-xgboost-what-am-i-doing-wrong", "kernel_id": "224991"}, {"ref": "davidcb/my-first-machine-learning-model", "kernel_id": "841352"}, {"ref": "davidcb/handling-missing-values", "kernel_id": "879124"}, {"ref": "davidcb/using-categorical-data-with-one-hot-encoding", "kernel_id": "943335"}, {"ref": "krunalap/fork-of-notebook0c5fa018f4", "kernel_id": "123915"}, {"ref": "krunalap/simple-linear-regression", "kernel_id": "124079"}, {"ref": "krunalap/house-prices-eda-and-regression-algorithms", "kernel_id": "121812"}, {"ref": "maviator/simple-sklearn-models-averaging-to-get-to-13", "kernel_id": "427070"}, {"ref": "cruzzor/notebook8945ad47db", "kernel_id": "232553"}, {"ref": "casuru/roll-your-own-linear-regression", "kernel_id": "123217"}, {"ref": "johng71/detailed-data-exploration-in-python", "kernel_id": "166367"}, {"ref": "romanepersch/notebook8f468114b0", "kernel_id": "106788"}, {"ref": "robabrown/regularized-linear-models", "kernel_id": "97763"}, {"ref": "pablocastilla/notebooked1435a1ca", "kernel_id": "101026"}, {"ref": "pablocastilla/predict-house-prices-with-xgboost-regression", "kernel_id": "106895"}, {"ref": "dmi3kno/ames-housing-eda", "kernel_id": "99731"}, {"ref": "dmi3kno/regularized-linear-models-in-r", "kernel_id": "101457"}, {"ref": "dmi3kno/ames-in-caret", "kernel_id": "101922"}, {"ref": "deeptibhatia/gradientboosting", "kernel_id": "160444"}, {"ref": "deeptibhatia/basic-xgboost", "kernel_id": "153683"}, {"ref": "bigbright/regularized-linear-models-656110f6", "kernel_id": "150181"}, {"ref": "adityamangal410/comprehensive-data-exploration-with-python", "kernel_id": "233322"}, {"ref": "sentokun/notebookf063154c00", "kernel_id": "166131"}, {"ref": "dc4data/house-prices-advanced-regression-techniques", "kernel_id": "170414"}, {"ref": "dc4data/housing-prices-dc", "kernel_id": "259278"}, {"ref": "dc4data/practice-housing-prices", "kernel_id": "262779"}, {"ref": "xingxu1978/regularized-linear-models-learning", "kernel_id": "169547"}, {"ref": "dvirts/test-kaggle-notebook", "kernel_id": "97449"}, {"ref": "boyergv/detailed-exploratory-data-analysis-using-r", "kernel_id": "104095"}, {"ref": "fernandoramacciotti/notebook28722155b6", "kernel_id": "218400"}, {"ref": "fernandoramacciotti/notebook139deeef70", "kernel_id": "203889"}, {"ref": "fernandoramacciotti/testing", "kernel_id": "203891"}, {"ref": "shreshtha/notebookcdf3377b74", "kernel_id": "182565"}, {"ref": "eponymous/weighted-models-example", "kernel_id": "134422"}, {"ref": "bohaohan/regression-using-keras", "kernel_id": "198037"}, {"ref": "lokeshpancharia/regularized-linear-models", "kernel_id": "125042"}, {"ref": "mnsteinbe/notebookb03cdb6378", "kernel_id": "105642"}, {"ref": "windell495/notebook57e53500b8", "kernel_id": "180267"}, {"ref": "whatnxt/notebookf71286d245", "kernel_id": "171012"}, {"ref": "bowendeng/housing-price-prediction", "kernel_id": "687727"}, {"ref": "binback/notebooka83bae75e9", "kernel_id": "187172"}, {"ref": "binback/notebook75889b5153", "kernel_id": "187173"}, {"ref": "binback/notebook301e656b86", "kernel_id": "187175"}, {"ref": "binback/notebookebb49ade78", "kernel_id": "185982"}, {"ref": "mweirath/practice-note", "kernel_id": "240296"}, {"ref": "passionofml/regularized-linear-models", "kernel_id": "98727"}, {"ref": "passionofml/python-data-exploration", "kernel_id": "98707"}, {"ref": "deauxvaganza/notebook2a193ed7a3", "kernel_id": "208996"}, {"ref": "lalthan/housing", "kernel_id": "108895"}, {"ref": "alaaawad/notebookabcae82c10", "kernel_id": "148476"}, {"ref": "alaaawad/linear-regression-tensorflow", "kernel_id": "150076"}, {"ref": "alaaawad/ridge-regression", "kernel_id": "236054"}, {"ref": "alaaawad/xgboost-lasso", "kernel_id": "235454"}, {"ref": "bakman329/notebookdb10961350", "kernel_id": "110978"}, {"ref": "paulescu/you-got-this-feature-engineering-and-lasso", "kernel_id": "112512"}, {"ref": "ppr122/regularized-linear-models", "kernel_id": "98757"}, {"ref": "ppr122/detailed-data-exploration-in-python", "kernel_id": "98744"}, {"ref": "dayemsiddiqui/notebook69999b77e4", "kernel_id": "182600"}, {"ref": "miketibb/regularized-linear-models", "kernel_id": "146455"}, {"ref": "lethzch/house-prices-eda", "kernel_id": "187155"}, {"ref": "apapiu/python-test", "kernel_id": "92607"}, {"ref": "apapiu/notebook44688d615f", "kernel_id": "100304"}, {"ref": "apapiu/fork-of-regularized-linear-models", "kernel_id": "99308"}, {"ref": "apapiu/regularized-linear-models", "kernel_id": "96093"}, {"ref": "lonnie/randomforestregressor", "kernel_id": "108790"}, {"ref": "adityasamalla/notebookbea5227289", "kernel_id": "223574"}, {"ref": "platinumgod/fork-of-notebook87827811aa", "kernel_id": "146757"}, {"ref": "platinumgod/notebooka463a9a356", "kernel_id": "220877"}, {"ref": "chandan2495/house-price-prediction", "kernel_id": "295306"}, {"ref": "jaganna/house-pricing", "kernel_id": "115021"}, {"ref": "jaganna/house-pricing-variable-importance", "kernel_id": "117377"}, {"ref": "ldiperna/beginner-ml-data-prep-with-h2o-pandas-sklearn", "kernel_id": "187299"}, {"ref": "ldiperna/beginner-level-notebook-using-h2o", "kernel_id": "153720"}, {"ref": "shadowmooneragon/notebook4e41ccd2bf", "kernel_id": "232321"}, {"ref": "captlag/notebooke1d10839e6", "kernel_id": "151134"}, {"ref": "shauryashubham/notebook06b30a00dd", "kernel_id": "275936"}, {"ref": "shauryashubham/exploratory-data-analysis-with-python", "kernel_id": "276679"}, {"ref": "nelson000/regularized-linear-models", "kernel_id": "108497"}, {"ref": "nelson000/regularized-linear-models-db924304", "kernel_id": "108507"}, {"ref": "nelson000/regularized-linear-models-0f41b70e", "kernel_id": "109018"}, {"ref": "nelson000/regularized-linear-models-ed88cf5b", "kernel_id": "109019"}, {"ref": "nelson000/notebook122f1bac30", "kernel_id": "247920"}, {"ref": "srinag/comprehensive-data-exploration-with-python", "kernel_id": "487957"}, {"ref": "sshuair/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "201650"}, {"ref": "renanlf/fitting-the-data", "kernel_id": "147817"}, {"ref": "blkbltguitarist/digit-test", "kernel_id": "218031"}, {"ref": "dmharding/impute-with-random-forests", "kernel_id": "108536"}, {"ref": "armyaviator/notebook5ddf4102d1", "kernel_id": "248133"}, {"ref": "bestaar/neural-network-approach-visualized-with-t-sne", "kernel_id": "143973"}, {"ref": "takeaki/regularized-linear-models-aecfed51", "kernel_id": "159084"}, {"ref": "takeaki/regularized-linear-models", "kernel_id": "158266"}, {"ref": "vipmunot/housing-price-prediction-w-sklearn", "kernel_id": "188543"}, {"ref": "zoupet/xgboost-ridge-lasso", "kernel_id": "93017"}, {"ref": "zoupet/neural-network-model-for-house-prices-tensorflow", "kernel_id": "355146"}, {"ref": "sajal0jain/detailed-data-exploration-in-python", "kernel_id": "101469"}, {"ref": "dodgervl/notebookca6954a327", "kernel_id": "98865"}, {"ref": "pistak/regularized-linear-models-forked", "kernel_id": "102730"}, {"ref": "pistak/benchmark-model-with-comments", "kernel_id": "104300"}, {"ref": "pistak/problems-with-missing-values", "kernel_id": "104305"}, {"ref": "gwwang/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "232285"}, {"ref": "gavinp/regularized-linear-models", "kernel_id": "138874"}, {"ref": "kalidoss/test-run", "kernel_id": "128514"}, {"ref": "jackstine/regularized-linear-models-a1898f24", "kernel_id": "171526"}, {"ref": "jackstine/regularized-linear-models", "kernel_id": "170892"}, {"ref": "jackstine/notebooka3d9fdf98e", "kernel_id": "170801"}, {"ref": "csprock/properly-handling-missing-values-w-out-packages", "kernel_id": "319041"}, {"ref": "chaitanya94/house-prices", "kernel_id": "119890"}, {"ref": "gprobst/ensemble-model-stacked-model-example", "kernel_id": "96966"}, {"ref": "jidong/regularized-linear-models", "kernel_id": "180777"}, {"ref": "maddynit/notebook6261823e78", "kernel_id": "148047"}, {"ref": "maddynit/notebook0904aca54a", "kernel_id": "148048"}, {"ref": "maddynit/notebookdefaecbd44", "kernel_id": "148079"}, {"ref": "maddynit/notebook7e14b50d4c", "kernel_id": "179667"}, {"ref": "robinlai/regularized-linear-models-ed9a5eaf", "kernel_id": "110725"}, {"ref": "robinlai/regularized-linear-models", "kernel_id": "97103"}, {"ref": "robinlai/stacking-starter", "kernel_id": "230785"}, {"ref": "robinlai/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "254836"}, {"ref": "datasan/notebook76844870fc", "kernel_id": "103495"}, {"ref": "vincentclaes/regularized-linear-models-f80bfdec", "kernel_id": "177489"}, {"ref": "vincentclaes/regularized-linear-models-47163124", "kernel_id": "176461"}, {"ref": "vincentclaes/regularized-linear-models-aefa7746", "kernel_id": "171130"}, {"ref": "vincentclaes/regularized-linear-models", "kernel_id": "140739"}, {"ref": "sedelnik/notebook376e5fd917", "kernel_id": "159470"}, {"ref": "destaneon1/data-exploration-with-python", "kernel_id": "265540"}, {"ref": "mintaoye/regularized-linear-models", "kernel_id": "123350"}, {"ref": "xidaow/regularized-linear-models", "kernel_id": "184977"}, {"ref": "visionanand/housing-price-prediction", "kernel_id": "538404"}, {"ref": "martydertz/variable-importance-boost-regression", "kernel_id": "97985"}, {"ref": "eloneill/notebook7a80532ba4", "kernel_id": "111191"}, {"ref": "yibing/pca-and-regression", "kernel_id": "203231"}, {"ref": "tunguz/simple-rf-simple-xgb", "kernel_id": "93118"}, {"ref": "tunguz/simple-rf-simple-xgb-a29127b3", "kernel_id": "93150"}, {"ref": "tunguz/house-price-xgboost-starter", "kernel_id": "93151"}, {"ref": "tunguz/fun-with-real-estate-data", "kernel_id": "93383"}, {"ref": "tunguz/xgboost-with-n-trees-autostop", "kernel_id": "94812"}, {"ref": "tunguz/regularized-linear-models", "kernel_id": "96689"}, {"ref": "tunguz/stacking-starter", "kernel_id": "147681"}, {"ref": "frantisekmusil/notebooke74c323d22", "kernel_id": "252429"}, {"ref": "kbrady/exploring-decision-trees", "kernel_id": "138744"}, {"ref": "kaka6599/notebookeaa58b7524", "kernel_id": "174784"}, {"ref": "kaka6599/notebook76311bcff3", "kernel_id": "174780"}, {"ref": "kaka6599/notebookcf89a0116a", "kernel_id": "174732"}, {"ref": "deidei23/notebook97003281bb", "kernel_id": "247966"}, {"ref": "dengshijiao/notebook5e653edd31", "kernel_id": "123660"}, {"ref": "plroit/notebook1493614121", "kernel_id": "107008"}, {"ref": "princesden/regularized-linear-models", "kernel_id": "191978"}, {"ref": "princesden/regularized-regression-housing-pricing", "kernel_id": "191991"}, {"ref": "soerendip/regularized-linear-models", "kernel_id": "158991"}, {"ref": "kagglelink/notebook0c3bf497d0", "kernel_id": "122614"}, {"ref": "zhuke0320/detailed-data-exploration-in-python", "kernel_id": "99135"}, {"ref": "mindful/ames-housing-dataset-observations-eda", "kernel_id": "159795"}, {"ref": "ashleyj/notebook49003d3fb9", "kernel_id": "149456"}, {"ref": "mathcode/trying-kaggle", "kernel_id": "204560"}, {"ref": "mathcode/feature-engineering-for-house-price-dataset", "kernel_id": "206361"}, {"ref": "phoebe0904/notebookf64f12f6a2", "kernel_id": "148689"}, {"ref": "dracula/starting-out", "kernel_id": "266107"}, {"ref": "fishpan1209/houseprices", "kernel_id": "200744"}, {"ref": "fishpan1209/notebook00673637b1", "kernel_id": "200741"}, {"ref": "kevins/added-xgblinear-to-stacked-model-example", "kernel_id": "102828"}, {"ref": "kevins/xgb-linear", "kernel_id": "102813"}, {"ref": "kevins/xgbtree-predict", "kernel_id": "102807"}, {"ref": "kevins/ranger-predict", "kernel_id": "102801"}, {"ref": "kevins/gbm-copied-from-j-thompson-and-tuned-a-little", "kernel_id": "99187"}, {"ref": "thepetester/notebook607e720335", "kernel_id": "100689"}, {"ref": "qqcandy/detailed-data-exploration-in-python-by", "kernel_id": "102458"}, {"ref": "zmiklos/notebookccd60de31a", "kernel_id": "120243"}, {"ref": "sebascaja/notebook347c7f5380", "kernel_id": "223994"}, {"ref": "kudashi/regularized-linear-models", "kernel_id": "128633"}, {"ref": "kudashi/regularized-linear-models-e5ca8d38", "kernel_id": "174310"}, {"ref": "kudashi/lasso-model-for-regression-problem", "kernel_id": "173998"}, {"ref": "mshih2/fork-of-using-xgboost-for-feature-selection", "kernel_id": "95108"}, {"ref": "mshih2/using-xgboost-for-feature-selection", "kernel_id": "95081"}, {"ref": "giridharan1981/regularized-linear-models", "kernel_id": "173182"}, {"ref": "ep13b015/notebook6c8c3fa2ee", "kernel_id": "93111"}, {"ref": "sergey17/notebook4624f2662b", "kernel_id": "98165"}, {"ref": "king8023/regularized-linear-models", "kernel_id": "178809"}, {"ref": "hicheb/notebookba8a5a8496", "kernel_id": "161011"}, {"ref": "sagado/basic-linear-regression", "kernel_id": "115976"}, {"ref": "cynthiaho711/detailed-data-exploration-in-python", "kernel_id": "164256"}, {"ref": "cynthiaho711/detailed-data-exploration-in-python-02e3492b", "kernel_id": "164260"}, {"ref": "cynthiaho711/filling-up-missing-values", "kernel_id": "188649"}, {"ref": "ashishgupta11/regularized-linear-models", "kernel_id": "245211"}, {"ref": "anvesh2953/detailed-data-exploration-in-python", "kernel_id": "119381"}, {"ref": "anvesh2953/you-got-this-feature-engineering-and-lasso", "kernel_id": "123822"}, {"ref": "rajkranand/notebooke68e0c9375", "kernel_id": "110028"}, {"ref": "wizarddata/regularized-linear-models-e00a1958", "kernel_id": "158382"}, {"ref": "wizarddata/regularized-linear-models", "kernel_id": "158129"}, {"ref": "smaug1001/regression-using-xgboost-randomsearchcv", "kernel_id": "239933"}, {"ref": "ming524/plotting-all-data", "kernel_id": "134485"}, {"ref": "ming524/regularized-linear-models", "kernel_id": "134486"}, {"ref": "xiaobaiml/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "95911"}, {"ref": "carlos14/notebook2575b00d55", "kernel_id": "120693"}, {"ref": "carlos14/randomforestregressor", "kernel_id": "124719"}, {"ref": "carlos14/feature-selection-for-house-prices", "kernel_id": "126916"}, {"ref": "carlos14/feature-selection-for-house-prices-28853848", "kernel_id": "126923"}, {"ref": "icecube314/data-exploration-of-house-price-data", "kernel_id": "120272"}, {"ref": "zeshan/comprehensive-data-exploration-with-python-zz", "kernel_id": "228002"}, {"ref": "thibaut95k/lasso-model-for-regression-problem", "kernel_id": "99979"}, {"ref": "thibaut95k/notebook44688d615f", "kernel_id": "97664"}, {"ref": "thibaut95k/notebooke021c153a0", "kernel_id": "98856"}, {"ref": "skollll/simple-regression-model", "kernel_id": "153925"}, {"ref": "skollll/feature-evaluations", "kernel_id": "155884"}, {"ref": "sheevy/notebook155c7ac813", "kernel_id": "94149"}, {"ref": "shishirvbh/sold-the-mlr-package-and-advanced-regression", "kernel_id": "136558"}, {"ref": "wangwei123/notebooka2f03aaf21", "kernel_id": "276419"}, {"ref": "allizchen/notebook8f0c877704", "kernel_id": "109523"}, {"ref": "allizchen/detailed-data-exploration-in-python", "kernel_id": "110225"}, {"ref": "pd8073/regularized-linear-models", "kernel_id": "159254"}, {"ref": "jacoblchapman/notebooke999878557", "kernel_id": "208551"}, {"ref": "austinpoulton/regularized-linear-models", "kernel_id": "115481"}, {"ref": "codeassasin/regression-1", "kernel_id": "259406"}, {"ref": "ankit2106/housing-price-data-exploration", "kernel_id": "230591"}, {"ref": "smenon8/houseprices", "kernel_id": "310937"}, {"ref": "rosenswag/regularized-linear-models", "kernel_id": "138316"}, {"ref": "davidavid/detailed-data-exploration-in-python", "kernel_id": "163838"}, {"ref": "alessandronegrini/basic-approach-for-missing-values-in-python", "kernel_id": "145908"}, {"ref": "andymasl/keras-parameters-assessment", "kernel_id": "139262"}, {"ref": "yanghsu7/regularized-linear-models", "kernel_id": "191480"}, {"ref": "yanghsu7/fork-of-r-kkkkkk", "kernel_id": "185514"}, {"ref": "yanghsu7/notebook3086af74ed", "kernel_id": "185516"}, {"ref": "wankspatrick/script1", "kernel_id": "120237"}, {"ref": "gautham11/building-predictive-models-with-sklearn-pipelines", "kernel_id": "442511"}, {"ref": "rrajasek/regularized-linear-models", "kernel_id": "175169"}, {"ref": "rtkhsu/comprehensive-data-exploration-with-python", "kernel_id": "188397"}, {"ref": "xinyuyangren/regularized-linear-models-4cf0bcab", "kernel_id": "152293"}, {"ref": "teuscoelho/adaline-neural-network-solution", "kernel_id": "365466"}, {"ref": "oliviama/house-price", "kernel_id": "242148"}, {"ref": "dancinggypsies/eda-in-python", "kernel_id": "145131"}, {"ref": "dancinggypsies/pred-house-prices", "kernel_id": "142592"}, {"ref": "amimaro/notebookb919ce1e4f", "kernel_id": "111503"}, {"ref": "vagrantguy/lasso-model-for-regression-problem", "kernel_id": "151974"}, {"ref": "vagrantguy/xgboost-ridge-lasso-bd2b2af7", "kernel_id": "157167"}, {"ref": "mingda/regularized-linear-models-6afd85fc", "kernel_id": "125003"}, {"ref": "mingda/regularized-linear-models", "kernel_id": "122741"}, {"ref": "mingda/lasso-model-for-regression-problem", "kernel_id": "115009"}, {"ref": "aarti1/house-prices-regression-and-bagging-techniques", "kernel_id": "209498"}, {"ref": "aarti1/house-price-regression-and-bagging-techniques", "kernel_id": "209499"}, {"ref": "shegokarm/detailed-data-exploration-in-python", "kernel_id": "96666"}, {"ref": "gassmcla/initial-submission-and-personal-benchmark", "kernel_id": "231581"}, {"ref": "gassmcla/notebook2e24ca1c9f", "kernel_id": "231609"}, {"ref": "nozzo1/random-forest", "kernel_id": "241164"}, {"ref": "vasilis73/house-sales-analysis", "kernel_id": "541449"}, {"ref": "vasilis73/my-first-machine-learning-model", "kernel_id": "838946"}, {"ref": "vasilis73/predicting-sales", "kernel_id": "930914"}, {"ref": "mryder73/house-price-deep-clean", "kernel_id": "510168"}, {"ref": "mryder73/some-cleaning", "kernel_id": "225575"}, {"ref": "wangruobing888/regularized-linear-models", "kernel_id": "167307"}, {"ref": "pbchandr/regularized-linear-models", "kernel_id": "168907"}, {"ref": "pole19901990/ts-team-1", "kernel_id": "100236"}, {"ref": "pole19901990/notebook7e3baadbb7", "kernel_id": "100784"}, {"ref": "pole19901990/regularized-linear-models", "kernel_id": "98254"}, {"ref": "pole19901990/notebookb0aceb2619", "kernel_id": "98000"}, {"ref": "jellevde/speedrun-with-principal-component-analysis", "kernel_id": "673988"}, {"ref": "dondapati/house-prediction", "kernel_id": "529555"}, {"ref": "praxitelisk/kagglelearn-ml2-1-handling-missing-values", "kernel_id": "984505"}, {"ref": "praxitelisk/kagglelearn-ml1-5-model-validation", "kernel_id": "984444"}, {"ref": "praxitelisk/kagglelearn-ml1-6-under-overfit-model-optimization", "kernel_id": "984452"}, {"ref": "praxitelisk/kagglelearn-ml1-7-random-forests", "kernel_id": "984466"}, {"ref": "praxitelisk/kagglelearn-ml1-8-submitting-from-a-kernel", "kernel_id": "984492"}, {"ref": "praxitelisk/kagglelearn-ml1-3-selecting-filtering-in-pandas", "kernel_id": "983300"}, {"ref": "praxitelisk/kagglelearn-ml1-4-your-first-scikit-learn-model", "kernel_id": "983330"}, {"ref": "kristenhuber/housing-prices", "kernel_id": "248932"}, {"ref": "sampsonsimpson/notebook5d4ef64938", "kernel_id": "241656"}, {"ref": "ug2409/notebook6b88f299df", "kernel_id": "112452"}, {"ref": "thomas95290/how-much-is-my-house", "kernel_id": "98532"}, {"ref": "datahww/test-keras-1", "kernel_id": "170730"}, {"ref": "ashwinikmr/comprehensive-data-exploration-with-python", "kernel_id": "194962"}, {"ref": "blackadder/prediction-with-random-forest", "kernel_id": "665533"}, {"ref": "xkl121/notebookcdb1e6667a", "kernel_id": "145822"}, {"ref": "nickyua/notebooke26b56480f", "kernel_id": "199441"}, {"ref": "danchyy/my-notebook-houses", "kernel_id": "178509"}, {"ref": "tnbalankura/regularized-linear-models", "kernel_id": "99757"}, {"ref": "sharaf/notebook8f0b8b453b", "kernel_id": "208450"}, {"ref": "mascotinme/fork-of-notebook3c08308f23-2b245861", "kernel_id": "158916"}, {"ref": "mascotinme/effects-of-population-on-crime", "kernel_id": "158842"}, {"ref": "mascotinme/notebook3c08308f23", "kernel_id": "139368"}, {"ref": "mascotinme/sale-price-against-lot-area-house-for-sale", "kernel_id": "139371"}, {"ref": "mascotinme/sale-price-against-lot-area", "kernel_id": "139358"}, {"ref": "eledata/notebookcff9d73a29", "kernel_id": "235498"}, {"ref": "mattialife/notebook038ab6e4ed", "kernel_id": "150854"}, {"ref": "mattialife/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "153511"}, {"ref": "falkon84/lasso-model-for-regression-problem", "kernel_id": "152769"}, {"ref": "angelpatriciov/salesforecast", "kernel_id": "101266"}, {"ref": "ireneche/notebook890f905ede", "kernel_id": "112708"}, {"ref": "notaapple/notebook6057cd1c9a", "kernel_id": "154569"}, {"ref": "notaapple/detailed-exploratory-data-analysis-using-r", "kernel_id": "100279"}, {"ref": "notaapple/fork-of-detailed-exploratory-data-analysis-in-r", "kernel_id": "100281"}, {"ref": "notaapple/detailed-exploratory-data-analysis-in-r", "kernel_id": "100273"}, {"ref": "thurston/notebook6b0bebd035", "kernel_id": "239431"}, {"ref": "thurston/notebook9f295ac61b", "kernel_id": "239437"}, {"ref": "slimlink3/notebookea1f6d4ab2", "kernel_id": "101584"}, {"ref": "simonefuma/basic-linear-benchmark", "kernel_id": "107751"}, {"ref": "arihantkumarjain/keep-it-simple-not-simpler", "kernel_id": "111711"}, {"ref": "danielhuckins/trying-tflearn", "kernel_id": "114144"}, {"ref": "mangog/comprehensive-data-exploration-with-python", "kernel_id": "194080"}, {"ref": "icewine/notebook692b515415", "kernel_id": "120500"}, {"ref": "wllmtrng/notebookad1c6f74e6", "kernel_id": "110198"}, {"ref": "juanmb/notebook529b5ea49a", "kernel_id": "173610"}, {"ref": "amsainju/my-first-machine-learning-model-79485e", "kernel_id": "849145"}, {"ref": "xiaotiandai/comprehensive-data-exploration-with-python", "kernel_id": "222310"}, {"ref": "dwolffram/regularized-linear-models-395c0730", "kernel_id": "164356"}, {"ref": "dwolffram/regularized-linear-models-a914f337", "kernel_id": "117792"}, {"ref": "dwolffram/regularized-linear-models", "kernel_id": "117779"}, {"ref": "xinglan/clean-boston-housing-data-for-tensorflow", "kernel_id": "160963"}, {"ref": "kiran1295/house-predictions-using-caret", "kernel_id": "120379"}, {"ref": "kiran1295/regularized-linear-models", "kernel_id": "124986"}, {"ref": "ziyitang/house-price-prediction", "kernel_id": "144310"}, {"ref": "ziyitang/house-prediction-features-exploration", "kernel_id": "146694"}, {"ref": "mlowen/notebook7e9c4b2ecd", "kernel_id": "157603"}, {"ref": "jokuspokus/regularized-linear-models", "kernel_id": "189050"}, {"ref": "kenneth12/notebookd7c05d5748", "kernel_id": "225464"}, {"ref": "nadiyashvai/detailed-data-exploration-in-python", "kernel_id": "110766"}, {"ref": "binh211/regularized-linear-models", "kernel_id": "157856"}, {"ref": "zilong2015/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "260913"}, {"ref": "shadow2718/notebook94a4806b47", "kernel_id": "106061"}, {"ref": "shadow2718/notebook3aff0b2396", "kernel_id": "108904"}, {"ref": "nebular87/regularized-linear-models", "kernel_id": "157593"}, {"ref": "naveenmadhire/notebookf213ed12e6", "kernel_id": "107451"}, {"ref": "renaudy/study-regression", "kernel_id": "257761"}, {"ref": "alexgomes3/very-basic-plots", "kernel_id": "343121"}, {"ref": "vishnuvardhanmalla/stepwise-aic-and-decision-tree", "kernel_id": "198069"}, {"ref": "vishnuvardhanmalla/decision-tree-and-stepwise-aic-regression", "kernel_id": "199020"}, {"ref": "prerit912/missing-value-imputation-mahalanobis-distance", "kernel_id": "573987"}, {"ref": "richasaini/variable-selection-shrinkage-methods", "kernel_id": "115202"}, {"ref": "blumenthal/playing-around-with-the-training-set", "kernel_id": "155813"}, {"ref": "life2short/eda-and-outliers", "kernel_id": "153533"}, {"ref": "meikegw/filling-up-missing-values", "kernel_id": "164481"}, {"ref": "oleksandrmalinin/unsupervised-learning", "kernel_id": "105997"}, {"ref": "rajat19/my-first-machine-learning-model", "kernel_id": "836230"}, {"ref": "colinjohnston/notebook7598295d2b", "kernel_id": "232530"}, {"ref": "mvono73/fork-of-price-prediction", "kernel_id": "241316"}, {"ref": "minamoradi/notebook329b6edad7", "kernel_id": "129822"}, {"ref": "minamoradi/regularized-linear-models", "kernel_id": "131519"}, {"ref": "minamoradi/notebook77631867c6", "kernel_id": "131517"}, {"ref": "minamoradi/notebook8c3834089a", "kernel_id": "130436"}, {"ref": "tomliau33/learning-for-house-prices", "kernel_id": "216595"}, {"ref": "serenajiang/linear-regression", "kernel_id": "101581"}, {"ref": "serenajiang/notebookaf673c9e88", "kernel_id": "101120"}, {"ref": "hankhill2989/data-prep-and-lasso", "kernel_id": "180417"}, {"ref": "hankhill2989/notebook1894659144", "kernel_id": "177501"}, {"ref": "hankhill2989/numeric-feature-analysis", "kernel_id": "184652"}, {"ref": "hankhill2989/data-prep-with-pca-lasso-and-gbm", "kernel_id": "187426"}, {"ref": "seandot7/regularized-linear-models", "kernel_id": "96864"}, {"ref": "jefferyli/notebookb439324ff6", "kernel_id": "176097"}, {"ref": "szenyo/detailed-data-exploration-in-python", "kernel_id": "101635"}, {"ref": "szenyo/detailed-data-exploration-in-python-1038592f", "kernel_id": "101652"}, {"ref": "alvaromc317/notebookb1fec0acdf", "kernel_id": "171759"}, {"ref": "agzamovr/regularized-linear-models", "kernel_id": "174050"}, {"ref": "agzamovr/house-prices-eda", "kernel_id": "177779"}, {"ref": "agzamovr/detailed-data-exploration-in-python", "kernel_id": "175834"}, {"ref": "wangyigot/notebookd991b19403", "kernel_id": "95225"}, {"ref": "wangyigot/notebook9e42a2356c", "kernel_id": "95094"}, {"ref": "hubertusm/detailed-data-exploration-in-python", "kernel_id": "135727"}, {"ref": "hubertusm/detailed-data-exploration-in-python-e717de6b", "kernel_id": "137380"}, {"ref": "freddiev4/ml-kaggle-refresher", "kernel_id": "987678"}, {"ref": "abilashgatti/detailed-exploratory-data-analysis-using-r", "kernel_id": "204628"}, {"ref": "eoghanf/house-prices-eda", "kernel_id": "187852"}, {"ref": "eoghanf/notebooka6fcc80322", "kernel_id": "187979"}, {"ref": "eoghanf/preprocessing-the-ames-house-price-data", "kernel_id": "192928"}, {"ref": "eoghanf/xgboost-lasso-ef-version-with-gma", "kernel_id": "195955"}, {"ref": "rteja1113/detailed-data-exploration-in-python", "kernel_id": "150039"}, {"ref": "taoufik/regularized-linear-models", "kernel_id": "171188"}, {"ref": "datanerd0/regularized-linear-models", "kernel_id": "176212"}, {"ref": "datanerd0/regularized-linear-models-15a5117f", "kernel_id": "176236"}, {"ref": "nottold/naive-ensemble-model-ridge-lasso", "kernel_id": "379694"}, {"ref": "praesepe/notebookc61e083402", "kernel_id": "208837"}, {"ref": "pik000/regularized-linear-models", "kernel_id": "101562"}, {"ref": "akashshekara/notebook6ac0eeaa02", "kernel_id": "110523"}, {"ref": "prashantgavit115/regularized-linear-models", "kernel_id": "134970"}, {"ref": "prashantgavit115/notebookcaf9817733", "kernel_id": "157805"}, {"ref": "prashantgavit115/notebook43d47df840", "kernel_id": "157807"}, {"ref": "prashantgavit115/notebooka4ded3a788", "kernel_id": "157800"}, {"ref": "prashantgavit115/data-visualisation-using-categorical-variable", "kernel_id": "176091"}, {"ref": "sart123/logisticregression-with-reg-houseprice-prediction", "kernel_id": "571807"}, {"ref": "danielelton/benchmarking-random-forest-testing-keras-nn", "kernel_id": "97310"}, {"ref": "matohara/lasso-model-for-regression-problem", "kernel_id": "100089"}, {"ref": "matohara/notebook52c32762e6", "kernel_id": "112570"}, {"ref": "oliviayang/comprehensive-data-exploration-with-python", "kernel_id": "226720"}, {"ref": "deepanshupincha/notebook94fc238939", "kernel_id": "233682"}, {"ref": "boristype000/notebooka652660fc1", "kernel_id": "227226"}, {"ref": "rossxsy/exploring-training-data", "kernel_id": "92930"}, {"ref": "hbghhy/regularized-linear-models-8d9ffdf0", "kernel_id": "143994"}, {"ref": "alexdev/notebook46fac08adb", "kernel_id": "101287"}, {"ref": "alexdev/notebook39abe321a4", "kernel_id": "99483"}, {"ref": "anu2analytics/xgboost-mice-implementation-in-r", "kernel_id": "173100"}, {"ref": "anu2analytics/comparing-lin-regression-ridge-lasso-092f5f22", "kernel_id": "175016"}, {"ref": "anu2analytics/comparing-lin-regression-ridge-lasso", "kernel_id": "174726"}, {"ref": "milindgpatil/house-prices-eda", "kernel_id": "179865"}, {"ref": "andr3a/title1", "kernel_id": "104907"}, {"ref": "dsysoev/lasso-ridge-and-elasticnet-comparison", "kernel_id": "236473"}, {"ref": "yonzhang/regularized-linear-models", "kernel_id": "189507"}, {"ref": "garlok/notebook5d0378f616", "kernel_id": "235928"}, {"ref": "garlok/notebook2a9a5ccad8", "kernel_id": "233120"}, {"ref": "garlok/notebook1e3219dceb", "kernel_id": "233106"}, {"ref": "mandarvaze/notebook1053e6a8f7", "kernel_id": "219563"}, {"ref": "veerabhadrappa/house-prices-data-exploration", "kernel_id": "260742"}, {"ref": "yashubhi/my-model", "kernel_id": "549208"}, {"ref": "yashubhi/learning-to-use-xgboost", "kernel_id": "556037"}, {"ref": "yashubhi/handling-missing-values", "kernel_id": "550340"}, {"ref": "yashubhi/using-categorical-data-with-one-hot-encoding", "kernel_id": "551807"}, {"ref": "neelshah16/using-xgboost-for-feature-selection", "kernel_id": "269853"}, {"ref": "janie128/regularized-linear-models", "kernel_id": "112282"}, {"ref": "nhochmith/notebook60e0625d61", "kernel_id": "135896"}, {"ref": "smrutiranjan/submitting-from-a-kernel", "kernel_id": "903342"}, {"ref": "bioman82/regularized-linear-models", "kernel_id": "175015"}, {"ref": "rishabsukhija/welcome-to-data-science-in-r-workbook", "kernel_id": "873282"}, {"ref": "kevin91nl/data-analysis-and-machine-learning-in-python", "kernel_id": "460949"}, {"ref": "tinman123/random-forest-with-glm-boosting", "kernel_id": "226929"}, {"ref": "vaibhavthapliyal/detailed-data-analysis-ensemble-modeling", "kernel_id": "276564"}, {"ref": "ddlemaire/you-got-this-feature-engineering-and-lasso", "kernel_id": "111261"}, {"ref": "yingw0/housing-prices", "kernel_id": "110199"}, {"ref": "santteegt/handling-missing-values", "kernel_id": "777724"}, {"ref": "shrishtiwahal/selecting-and-filtering-in-pandas", "kernel_id": "770962"}, {"ref": "anokas/home-espionage-eda", "kernel_id": "92906"}, {"ref": "tonychen92/xgboost-lasso", "kernel_id": "140029"}, {"ref": "dcae77/notebook2ac4fbd1ff", "kernel_id": "117048"}, {"ref": "z3193631/regularized-linear-models", "kernel_id": "118087"}, {"ref": "evanwang1028/notebookc0541c65e5", "kernel_id": "93463"}, {"ref": "peterthiem/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "252402"}, {"ref": "guptha/comprehensive-data-exploration-with-python", "kernel_id": "197132"}, {"ref": "redfeather/comprehensive-data-exploration-with-python-1df97a", "kernel_id": "993233"}, {"ref": "emptycasket/regression-with-svm-python-2", "kernel_id": "372700"}, {"ref": "masadof/implementing-learning-algorithms-hw1", "kernel_id": "229532"}, {"ref": "mongface/regularized-linear-models", "kernel_id": "176554"}, {"ref": "jliu2016/regularized-linear-models", "kernel_id": "113043"}, {"ref": "saran95/regularized-linear-models", "kernel_id": "106607"}, {"ref": "sbn248/regularized-linear-models", "kernel_id": "184302"}, {"ref": "mfumagalli68/principal-component-analysis", "kernel_id": "105935"}, {"ref": "vishnupratap/notebook978db171a0", "kernel_id": "249894"}, {"ref": "praveenhegde/stepwise-linear-regression", "kernel_id": "98563"}, {"ref": "zliang/notebook91ef8f16cd", "kernel_id": "199811"}, {"ref": "zliang/notebook1e394e60aa", "kernel_id": "193240"}, {"ref": "rishabmps/submitting-from-a-kernel", "kernel_id": "428666"}, {"ref": "jameshvk/pca-and-regression-2e6ff0", "kernel_id": "189470"}, {"ref": "jameshvk/stacking-starter", "kernel_id": "189472"}, {"ref": "jameshvk/pca-and-regression", "kernel_id": "176044"}, {"ref": "mattfarkas/notebook8ac4a6e9c5", "kernel_id": "158912"}, {"ref": "zavodrobotov/big-lasso", "kernel_id": "139110"}, {"ref": "zavodrobotov/script-v6", "kernel_id": "135159"}, {"ref": "zavodrobotov/randomforestregressor", "kernel_id": "112144"}, {"ref": "zavodrobotov/lasso-model-for-regression-problem", "kernel_id": "112519"}, {"ref": "pschneider/exploring-training-data", "kernel_id": "93242"}, {"ref": "raosindhu/home-sales-data-r", "kernel_id": "96641"}, {"ref": "greymatter8654/dstroud-house-prices", "kernel_id": "449045"}, {"ref": "greymatter8654/houses-prices-grey-matter-analytics", "kernel_id": "213270"}, {"ref": "burakyilmaz321/simple-linear-regression", "kernel_id": "206422"}, {"ref": "rjcrane/notebookf3aef1dfe3", "kernel_id": "106395"}, {"ref": "thoolihan/regularized-linear-models", "kernel_id": "129751"}, {"ref": "thoolihan/housing-price-prediction-w-sklearn", "kernel_id": "100559"}, {"ref": "huakaijianwo/notebookd3e91da80d", "kernel_id": "112054"}, {"ref": "hpatel86/1st-attempt-using-ridge-regression", "kernel_id": "142084"}, {"ref": "jeancharlesnaud/notebooke8485ff237", "kernel_id": "142945"}, {"ref": "bsparks/notebook62195f81da", "kernel_id": "131340"}, {"ref": "bsparks/notebookad3031e572", "kernel_id": "131342"}, {"ref": "yoichi7yamakawa/lasso-model-for-regression-problem", "kernel_id": "155238"}, {"ref": "manuelgoti/notebooka0f778f7ee", "kernel_id": "185665"}, {"ref": "dks1994/house-price", "kernel_id": "547833"}, {"ref": "masdeval/an-overview-of-regression-models", "kernel_id": "460301"}, {"ref": "smullaney/neural-network-application", "kernel_id": "185503"}, {"ref": "epattaro/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "196440"}, {"ref": "epattaro/regularized-linear-models", "kernel_id": "101255"}, {"ref": "sfertman/my-first-machine-learning-model", "kernel_id": "928988"}, {"ref": "laurae2/boruta-feature-importance-non-ordinal", "kernel_id": "94791"}, {"ref": "laurae2/plotting-all-data", "kernel_id": "106167"}, {"ref": "xinyaol/a-detailed-data-exploratory-by-python", "kernel_id": "141668"}, {"ref": "xinyaol/a-detailed-exploratory-analysis", "kernel_id": "141665"}, {"ref": "xinyaol/randomforestregressor", "kernel_id": "143780"}, {"ref": "jameslawlor/ridge-lasso-elasticnet-preprocessing-starter", "kernel_id": "97900"}, {"ref": "jameslawlor/ridge-vs-lasso-vs-elasticnet-regression-models", "kernel_id": "97896"}, {"ref": "jmendes1/hosingpricingvol-0-1", "kernel_id": "132182"}, {"ref": "perdox/notebook8fce4df5c2", "kernel_id": "266342"}, {"ref": "shrinivaassnakkaa/recreating-the-house-prices-benchmark-in-python", "kernel_id": "99463"}, {"ref": "braggingbee/xgboost-ridge-lasso", "kernel_id": "103269"}, {"ref": "braggingbee/regularized-linear-models", "kernel_id": "101706"}, {"ref": "bluexm/comprehensive-data-exploration-with-python", "kernel_id": "261705"}, {"ref": "tedrand/notebook1410e657e5", "kernel_id": "92612"}, {"ref": "tedrand/housing-prices-eda", "kernel_id": "100217"}, {"ref": "gosuddin/beginner-s-luck", "kernel_id": "223217"}, {"ref": "tranquangdai007/notebookb44bc190fd", "kernel_id": "98992"}, {"ref": "manojsukhavasi/regularized-linear-models", "kernel_id": "127594"}, {"ref": "emily2016/regularized-linear-models", "kernel_id": "123493"}, {"ref": "emily2016/lasso-model-for-regression-problem", "kernel_id": "125606"}, {"ref": "bennydabull/regularized-linear-models", "kernel_id": "182299"}, {"ref": "moodymandy/regularized-linear-models", "kernel_id": "184646"}, {"ref": "fiorenza2/journey-to-the-top-10", "kernel_id": "311041"}, {"ref": "rymyung/notebook436fe1b335", "kernel_id": "151591"}, {"ref": "rymyung/regularized-linear-models", "kernel_id": "152352"}, {"ref": "sriharshas/test1", "kernel_id": "102745"}, {"ref": "psantanusaha/notebookfa7bbe6383", "kernel_id": "227607"}, {"ref": "captunez/notebook3e43172719", "kernel_id": "112877"}, {"ref": "jasonbelle/kagglecomp-realestate", "kernel_id": "229932"}, {"ref": "lixiangbao/notebook967c435ac4", "kernel_id": "238804"}, {"ref": "mediocrates/notebookfad20c1ade", "kernel_id": "209313"}, {"ref": "takuyasakaguchi/house-prices-prediction-with-xgboost", "kernel_id": "101329"}, {"ref": "alexkononov/regularized-linear-models", "kernel_id": "108158"}, {"ref": "tfrmarques/linearregression-pca-w-o-outliers", "kernel_id": "113758"}, {"ref": "korners/notebook9b8ba869cb", "kernel_id": "138233"}, {"ref": "adrianprayoga/notebook808de86091", "kernel_id": "216681"}, {"ref": "rohan0401/xgboost-ridge-lasso", "kernel_id": "260902"}, {"ref": "worldmovers/regularized-linear-models", "kernel_id": "176291"}, {"ref": "cefahey/notebook15f0f462df", "kernel_id": "95862"}, {"ref": "wallehldt/notebook7c3b5c7037", "kernel_id": "240440"}, {"ref": "tangyudi/regularized-linear-models", "kernel_id": "122479"}, {"ref": "tangyudi/detailed-data-exploration-in-python", "kernel_id": "122481"}, {"ref": "xijunlee/house-price", "kernel_id": "244397"}, {"ref": "xijunlee/notebook438514df97", "kernel_id": "244398"}, {"ref": "taeheekim/notebook4435449caa", "kernel_id": "257782"}, {"ref": "taeheekim/predicting-house-prices-in-ames-iowa", "kernel_id": "155288"}, {"ref": "taeheekim/notebook9f3aafb181", "kernel_id": "173218"}, {"ref": "taeheekim/notebook32c0e58c1f", "kernel_id": "177849"}, {"ref": "taeheekim/notebook82d653a421", "kernel_id": "177850"}, {"ref": "taeheekim/regularized-linear-models", "kernel_id": "177847"}, {"ref": "paulorzp/blend-linear-regressors", "kernel_id": "132305"}, {"ref": "chernobrovov/notebook9f66941387", "kernel_id": "164254"}, {"ref": "vietnguyen91/notebook7781d76dc0", "kernel_id": "256663"}, {"ref": "zkghhg/regularized-linear-models-1f819c39", "kernel_id": "111091"}, {"ref": "zkghhg/regularized-linear-models", "kernel_id": "111082"}, {"ref": "arges42/explorative-analysis", "kernel_id": "179177"}, {"ref": "jccdoer/xgboost-lasso", "kernel_id": "181514"}, {"ref": "thomasbanyan/notebooke10973a9b1", "kernel_id": "204686"}, {"ref": "gezhenqin/notebook935e11adab", "kernel_id": "228282"}, {"ref": "regifie/notebook92062d3360", "kernel_id": "123751"}, {"ref": "jane522/notebook2289b68b52", "kernel_id": "252504"}, {"ref": "jane522/regularized-linear-models", "kernel_id": "154841"}, {"ref": "sagar35/house-prices-eda", "kernel_id": "196841"}, {"ref": "sagar35/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "196830"}, {"ref": "sagar35/regularized-linear-models", "kernel_id": "196836"}, {"ref": "sn7ghost/wine-testing", "kernel_id": "146158"}, {"ref": "sn7ghost/regression1", "kernel_id": "146089"}, {"ref": "mdtarequekhan/lasso-model-for-regression-problem", "kernel_id": "102556"}, {"ref": "mdtarequekhan/notebook5751583a7f", "kernel_id": "102550"}, {"ref": "mdtarequekhan/notebook48bf1e7fd4", "kernel_id": "99430"}, {"ref": "mdtarequekhan/houseprices-try1", "kernel_id": "99423"}, {"ref": "royalmudit/model-xgboost", "kernel_id": "123222"}, {"ref": "royalmudit/notebook33efb547e1", "kernel_id": "122669"}, {"ref": "iramusa/notebooke2dd85fca8", "kernel_id": "96863"}, {"ref": "fischi/notebooke9ae64506c", "kernel_id": "150892"}, {"ref": "fischi/notebook077d33239e", "kernel_id": "150964"}, {"ref": "fischi/notebook700f49f2b6", "kernel_id": "150965"}, {"ref": "fischi/notebookeedfea0ef4", "kernel_id": "150974"}, {"ref": "eliotbarr/stacking-starter", "kernel_id": "136967"}, {"ref": "eliotbarr/gridsearch-vs-randomizedsearch-on-xgboostregressor", "kernel_id": "145417"}, {"ref": "mustapha8/my-first-machine-learning-model-7c4ca7", "kernel_id": "889139"}, {"ref": "haidahaha/detailed-data-exploration-in-python", "kernel_id": "94964"}, {"ref": "haidahaha/regularized-linear-models", "kernel_id": "96370"}, {"ref": "fitrialif/regularized-linear-models", "kernel_id": "185228"}, {"ref": "lorenzogreco/regularized-linear-models-f84a2d64", "kernel_id": "172099"}, {"ref": "lorenzogreco/pca-and-regression", "kernel_id": "172148"}, {"ref": "lorenzogreco/regularized-linear-models", "kernel_id": "171262"}, {"ref": "fbarbalho/machine-learning-mode-kaggle-learn", "kernel_id": "816310"}, {"ref": "fbarbalho/eda-prices", "kernel_id": "843770"}, {"ref": "mikeyhu2014/regularized-linear-models", "kernel_id": "186538"}, {"ref": "charleslt/notebookcac5daa46d", "kernel_id": "185282"}, {"ref": "vduvvuri/notebook625dfb7cb3", "kernel_id": "226912"}, {"ref": "emptty/regularized-linear-models", "kernel_id": "114235"}, {"ref": "emptty/notebook9e2d18c328", "kernel_id": "222007"}, {"ref": "emptty/notebook07c4651843", "kernel_id": "221929"}, {"ref": "avsilva/notebook3dfec32667", "kernel_id": "120144"}, {"ref": "avsilva/notebook2758f670e8", "kernel_id": "127739"}, {"ref": "salauddin/my-first-machine-learning-model", "kernel_id": "815232"}, {"ref": "femannso/a-randomforest-and-a-lasso-approach-0-14", "kernel_id": "505626"}, {"ref": "tilii7/xgboost-bayesian-optimization", "kernel_id": "99535"}, {"ref": "tilii7/krr-sparse-matrix-bayesian-optimization", "kernel_id": "96034"}, {"ref": "tilii7/svr-sparse-matrix-bayesian-optimization", "kernel_id": "95873"}, {"ref": "tilii7/feature-importance-3-different-ways", "kernel_id": "97296"}, {"ref": "tilii7/feature-importance-four-different-ways", "kernel_id": "97297"}, {"ref": "hyoilcha/regularized-linear-models", "kernel_id": "188709"}, {"ref": "movefast/housing-practice", "kernel_id": "275356"}, {"ref": "jroachel/regularized-linear-models", "kernel_id": "110837"}, {"ref": "jindalisb/predicting-house-price-using-linear-regression", "kernel_id": "301834"}, {"ref": "pas5062/notebooka0062555b8", "kernel_id": "111435"}, {"ref": "shibashish/notebook90a608fb75", "kernel_id": "233558"}, {"ref": "lucas3000/regularized-linear-models", "kernel_id": "234402"}, {"ref": "chasseur/housing-price-by-chasseur-en", "kernel_id": "569816"}, {"ref": "chasseur/housing-price-by-chasseur", "kernel_id": "568840"}, {"ref": "yogeshkulkarni/python-data-exploration", "kernel_id": "99834"}, {"ref": "baruchg/notebook03a56c7276", "kernel_id": "224328"}, {"ref": "damien78600/regression-p-nalis-e", "kernel_id": "197853"}, {"ref": "damien78600/comprehensive-data-exploration-with-python", "kernel_id": "197844"}, {"ref": "damien78600/deep-neural-network-with-keras", "kernel_id": "196848"}, {"ref": "ritvikraj/predict-housing-prices", "kernel_id": "286980"}, {"ref": "ritvikraj/comprehensive-data-exploration-with-python", "kernel_id": "287619"}, {"ref": "vasilykulikov/house-prices-eda", "kernel_id": "184795"}, {"ref": "jonamjar/regularized-linear-models", "kernel_id": "103364"}, {"ref": "anna93/regularized-linear-models", "kernel_id": "176069"}, {"ref": "anna93/regularized-linear-models-c76abbab", "kernel_id": "183714"}, {"ref": "anna93/regularized-linear-models-b5bf1a0d", "kernel_id": "183715"}, {"ref": "sutteranalytics/regularized-linear-models", "kernel_id": "102306"}, {"ref": "ankitdatascience/getting-started-with-hosuing-data", "kernel_id": "568697"}, {"ref": "yientsai/regularized-linear-models", "kernel_id": "155433"}, {"ref": "yientsai/regularized-linear-models-c545a160", "kernel_id": "155434"}, {"ref": "yientsai/regularized-linear-models-2854ce", "kernel_id": "185976"}, {"ref": "jjinho/notebooke22df2bb58", "kernel_id": "234556"}, {"ref": "jihyeseo/scikit-learn-linear-model-attempt", "kernel_id": "446688"}, {"ref": "jihyeseo/r-workbook-randomforest-submission", "kernel_id": "857388"}, {"ref": "jihyeseo/house-price-xgboost-imputer-pipeline-cv", "kernel_id": "867676"}, {"ref": "jihyeseo/handling-missing-values", "kernel_id": "867961"}, {"ref": "rpertusa/notebooke851605036", "kernel_id": "121135"}, {"ref": "cool555cigar/notebook6e3cb735bf", "kernel_id": "173954"}, {"ref": "rubikr/notebook67ba6254b5", "kernel_id": "103168"}, {"ref": "yanjiang1/randomforestregressor", "kernel_id": "139483"}, {"ref": "amundtveit/neural-network-model-for-house-prices-keras", "kernel_id": "499478"}, {"ref": "amielsy/second-script", "kernel_id": "181977"}, {"ref": "amielsy/first-script", "kernel_id": "181952"}, {"ref": "mohammadi7/regularized-linear-models", "kernel_id": "115044"}, {"ref": "duchaolv/regularized-linear-models", "kernel_id": "179063"}, {"ref": "duchaolv/fork-of-notebookb31497db50", "kernel_id": "188021"}, {"ref": "pnguyen11/notebook0e76ff2613", "kernel_id": "174739"}, {"ref": "vodolazkayamv/notebook6f88e72776", "kernel_id": "231427"}, {"ref": "damontenegrod/notebook15e7b7df7c", "kernel_id": "206072"}, {"ref": "priyaruu/my-model", "kernel_id": "548723"}, {"ref": "mcantarutti/notebook8e4f3f31a6", "kernel_id": "270805"}, {"ref": "ibober/house-prices-eda", "kernel_id": "172627"}, {"ref": "davinnovation/regularized-linear-models", "kernel_id": "177985"}, {"ref": "davinnovation/regularized-linear-models-6667fd78", "kernel_id": "178017"}, {"ref": "davinnovation/regularized-linear-models-e2f476", "kernel_id": "189850"}, {"ref": "yasirmir/regularized-linear-models", "kernel_id": "96982"}, {"ref": "agneszhang/notebookab55816aa0", "kernel_id": "97701"}, {"ref": "kimono/randomforestregressor-c6178384", "kernel_id": "114771"}, {"ref": "kimono/randomforestregressor", "kernel_id": "114714"}, {"ref": "doordie/welcome-to-data-science-in-r-workbook", "kernel_id": "942901"}, {"ref": "nhameleers/first-kernel-try-how-do-i-make-submission-here", "kernel_id": "192346"}, {"ref": "einstalek/blending-with-tensorflow-0-11417-on-lb", "kernel_id": "342787"}, {"ref": "badeuyer/regularized-linear-models", "kernel_id": "116369"}, {"ref": "kaelchan/notebook6f5baa78c3", "kernel_id": "219523"}, {"ref": "kaelchan/notebook5db81fa1f4", "kernel_id": "211843"}, {"ref": "joseph9252/notebook0590812cca", "kernel_id": "101107"}, {"ref": "joseph9252/recreating-the-house-prices-benchmark-in-python", "kernel_id": "101549"}, {"ref": "ritu71/notebook5097861a3e", "kernel_id": "119141"}, {"ref": "thebrians/notebookba3d1c20b6", "kernel_id": "257792"}, {"ref": "michael1988/notebookf0eaa23c6e", "kernel_id": "110707"}, {"ref": "rgolovnya/eda-in-python", "kernel_id": "93415"}, {"ref": "jas325/selecting-and-filtering-in-pandas", "kernel_id": "816710"}, {"ref": "lkx621/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "94900"}, {"ref": "igauty/house-price-prediction", "kernel_id": "158400"}, {"ref": "igauty/eda-and-outliers", "kernel_id": "158403"}, {"ref": "igauty/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "170792"}, {"ref": "mrklees/housing-prices-with-keras", "kernel_id": "188101"}, {"ref": "yinzhao/notebook644cf37ed3", "kernel_id": "95758"}, {"ref": "ziakhan/notebook19f2a351ca", "kernel_id": "220468"}, {"ref": "clarchen/notebookdfc2babc4f", "kernel_id": "261488"}, {"ref": "johnhwang/house-prices-eda-hjw", "kernel_id": "377488"}, {"ref": "christopherchen/notebook6865137165", "kernel_id": "100245"}, {"ref": "jjuanramos/advanced-regression-techniques-not-finished", "kernel_id": "243221"}, {"ref": "jjuanramos/for-studying-matplotlib-seaborn", "kernel_id": "247762"}, {"ref": "linhvannguyen/regularized-linear-models", "kernel_id": "118997"}, {"ref": "anonygeek/regularized-linear-models", "kernel_id": "158600"}, {"ref": "thenewsky/quick-data-discovery", "kernel_id": "139857"}, {"ref": "kalmakl/regularized-linear-models", "kernel_id": "173735"}, {"ref": "kelsie21/notebook07f64b6a47", "kernel_id": "128453"}, {"ref": "rodgexu/randomforestregressor", "kernel_id": "142210"}, {"ref": "tamisalex/notebook1340452cb8", "kernel_id": "124471"}, {"ref": "tamisalex/notebookae45c2f927", "kernel_id": "124475"}, {"ref": "jdclark28/notebookb8e0a74f4f", "kernel_id": "109610"}, {"ref": "macartur/notebook6ee8d0d8ee", "kernel_id": "211396"}, {"ref": "macartur/teste", "kernel_id": "211397"}, {"ref": "andrewnguyen/notebook8c437d007a", "kernel_id": "107787"}, {"ref": "lwang1954/notebook7089b7b240", "kernel_id": "136477"}, {"ref": "humananalog/xgboost-lasso", "kernel_id": "112467"}, {"ref": "jianyiyang/regularized-linear-models", "kernel_id": "144273"}, {"ref": "giacomomaretto/notebook755fb1d8f7", "kernel_id": "137045"}, {"ref": "giacomomaretto/notebook961780f251", "kernel_id": "137047"}, {"ref": "pankajmishra/notebook800e3b3999", "kernel_id": "137065"}, {"ref": "mlasecki/notebook8db18dc85f", "kernel_id": "99716"}, {"ref": "sepidp/regularized-linear-models", "kernel_id": "132670"}, {"ref": "mschniepp/intro-to-ml-1-0", "kernel_id": "574257"}, {"ref": "sachinkumar99km/ggvis-for-exploring-the-house-price-data", "kernel_id": "458980"}, {"ref": "seu1tyz/tyz-regularized-linear-models-fc3524fc", "kernel_id": "103739"}, {"ref": "seu1tyz/regularized-linear-models", "kernel_id": "103405"}, {"ref": "seu1tyz/regularized-linear-models-c3b1bccd", "kernel_id": "103474"}, {"ref": "seu1tyz/regularized-linear-models-484ca539", "kernel_id": "103472"}, {"ref": "xf0907/regularized-linear-models-b8e9c6", "kernel_id": "185366"}, {"ref": "xf0907/notebook200ff44782", "kernel_id": "185183"}, {"ref": "xf0907/regularized-linear-models", "kernel_id": "185186"}, {"ref": "ranliu/wik-workshop-for-beginners-with-exercises", "kernel_id": "890776"}, {"ref": "hemalathay/detailed-data-exploration-in-python", "kernel_id": "108644"}, {"ref": "alex1121/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "180043"}, {"ref": "spartanbaba/fork-of-data-exploration", "kernel_id": "183604"}, {"ref": "spartanbaba/notebook15fa69c762", "kernel_id": "183610"}, {"ref": "spartanbaba/data-exploration", "kernel_id": "183597"}, {"ref": "alekhb36/detailed-exploratory-data-analysis-using-r", "kernel_id": "535223"}, {"ref": "rcbyron/improved-saleprice-calculation", "kernel_id": "666990"}, {"ref": "jaritgor/notebook8e64e2eea3", "kernel_id": "107748"}, {"ref": "bian0553/first-try", "kernel_id": "218860"}, {"ref": "bian0553/notebook52b00b7c35", "kernel_id": "215390"}, {"ref": "rbales/notebook18c1cd30c6", "kernel_id": "104363"}, {"ref": "sangxia/filling-in-the-missing-lotfrontage-values", "kernel_id": "95011"}, {"ref": "prem239/fun-with-real-estate-data", "kernel_id": "98067"}, {"ref": "crownpku/regularized-linear-models", "kernel_id": "98431"}, {"ref": "yadavsarthak/you-got-this-feature-engineering-and-lasso", "kernel_id": "100071"}, {"ref": "shahil93/sold1", "kernel_id": "93594"}, {"ref": "ehauckdo/notebook594ffaf33d", "kernel_id": "105019"}, {"ref": "root009/notebook972b2fcfae", "kernel_id": "199035"}, {"ref": "carnation/feature-selection-for-house-prices", "kernel_id": "108495"}, {"ref": "mpradyumna/notebook850d020a89", "kernel_id": "97590"}, {"ref": "pratyush19/notebook35abb361db", "kernel_id": "101464"}, {"ref": "keping/regularized-linear-models", "kernel_id": "191503"}, {"ref": "nagsdata/simple-r-xgboost-caret-kernel", "kernel_id": "562494"}, {"ref": "grajgopalan/ames-housing-dataset-observations-eda", "kernel_id": "196253"}, {"ref": "code1110/houseprice-data-cleaning-visualization", "kernel_id": "398718"}, {"ref": "code1110/houseprice-model-prediction-submission", "kernel_id": "371568"}, {"ref": "seymour/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "93631"}, {"ref": "zusmani/stacked-regressions-top-4-on-leaderboard", "kernel_id": "372187"}, {"ref": "zusmani/regularized-linear-models", "kernel_id": "372195"}, {"ref": "zusmani/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "372199"}, {"ref": "zusmani/ensemble-of-4-models-with-cv-lb-0-11489", "kernel_id": "372210"}, {"ref": "tulsamel/notebook68f1abd555", "kernel_id": "118982"}, {"ref": "maenam/cross-validation-not-working-can-someone-help", "kernel_id": "178430"}, {"ref": "kamerynn/linear-regression-two-continuous-features", "kernel_id": "101241"}, {"ref": "miningjerry/exploration-of-house-prices", "kernel_id": "141905"}, {"ref": "kuliksv/notebook4e0847e1c0", "kernel_id": "119025"}, {"ref": "chridam/python-data-exploration", "kernel_id": "94698"}, {"ref": "mingtong/notebookfe2431d698", "kernel_id": "210287"}, {"ref": "mingtong/fork-of-first-submission-ridge-c26cf7", "kernel_id": "210191"}, {"ref": "mingtong/gradient-boosting-with-random-forest", "kernel_id": "215274"}, {"ref": "mingtong/fork-of-first-submission-ridge-5e3677-lasso", "kernel_id": "215258"}, {"ref": "mingtong/fork-of-xgboost-try-out", "kernel_id": "215099"}, {"ref": "mingtong/fork-of-fork-of-first-submission-ridge-c26cf7", "kernel_id": "214487"}, {"ref": "mingtong/fork-of-first-submission-ridge-lasso", "kernel_id": "147094"}, {"ref": "mingtong/fork-of-fork-of-first-time-playing-around", "kernel_id": "143803"}, {"ref": "mingtong/fork-of-first-time-playing-around", "kernel_id": "143770"}, {"ref": "mingtong/first-time-playing-around", "kernel_id": "138383"}, {"ref": "pcm1312/house-price-prediction-using-linear-regr", "kernel_id": "108240"}, {"ref": "pcm1312/notebookcd785bfc34", "kernel_id": "108970"}, {"ref": "divyamaharshi/notebook6e80cd0674", "kernel_id": "217441"}, {"ref": "bayern/a-machine-learning-aproach", "kernel_id": "824721"}, {"ref": "stellated/notebook5af7f04aa1", "kernel_id": "97406"}, {"ref": "muhammadmagdi/notebookf5139e8526", "kernel_id": "99636"}, {"ref": "muhammadmagdi/notebookec5dd9cd26", "kernel_id": "165767"}, {"ref": "assafler/comprehensive-data-exploration-with-python", "kernel_id": "193186"}, {"ref": "berkkarahan/predicting-housing-prices-true-false-parameters", "kernel_id": "169787"}, {"ref": "berkkarahan/xgboost-lasso", "kernel_id": "147367"}, {"ref": "gamma831/notebookb3450270a8", "kernel_id": "113525"}, {"ref": "bvanusha/detailed-data-exploration-in-python", "kernel_id": "116790"}, {"ref": "bvanusha/xgboost-ridge-lasso", "kernel_id": "125804"}, {"ref": "bvanusha/notebook4e7fe8e453", "kernel_id": "124008"}, {"ref": "bvanusha/right-home-for-the-right-price", "kernel_id": "124105"}, {"ref": "bvanusha/you-got-this-feature-engineering-and-lasso", "kernel_id": "117474"}, {"ref": "euanrichard/learn-machine-learning-putting-it-all-together", "kernel_id": "428531"}, {"ref": "euanrichard/learn-machine-learning-putting-it-all-together-2", "kernel_id": "440327"}, {"ref": "euanrichard/learn-machine-learning-putting-it-all-together-3", "kernel_id": "448372"}, {"ref": "anand0427/regression-algorithms-for-beginners", "kernel_id": "612365"}, {"ref": "sairampillai/a-noob-s-attempt-at-housing-price-prediction", "kernel_id": "459533"}, {"ref": "jfamulare/notebook4ca38d85f1", "kernel_id": "170329"}, {"ref": "lordray/randomforestregressor", "kernel_id": "112909"}, {"ref": "sprasenjeet/regression-model-to-predict-housing-prices", "kernel_id": "320279"}, {"ref": "prolixprose/regularized-linear-models", "kernel_id": "181937"}, {"ref": "samrocks/regularized-linear-models", "kernel_id": "190313"}, {"ref": "rohannagar/first-script", "kernel_id": "108030"}, {"ref": "fangdenghui/notebookd706d610ca", "kernel_id": "277478"}, {"ref": "ahmetyazar/fork-of-playground-eliot-barril-s-script", "kernel_id": "184440"}, {"ref": "ahmetyazar/lasso-model-for-regression-problem", "kernel_id": "184461"}, {"ref": "ahmetyazar/filling-up-missing-values-7449662b", "kernel_id": "181374"}, {"ref": "ahmetyazar/filling-up-missing-values-1aa0d8ff", "kernel_id": "181010"}, {"ref": "tawonque/kaggle-using-sklearn-gradient-booster-regressor", "kernel_id": "117070"}, {"ref": "vzuwaterloo/notebookbc441696f5", "kernel_id": "164863"}, {"ref": "tk0711/simple-model-to-predict-house-price-with-julia", "kernel_id": "856589"}, {"ref": "tk0711/julia-simple-model-to-predict-house-price-julia", "kernel_id": "856745"}, {"ref": "folknik/regularized-linear-models", "kernel_id": "96210"}, {"ref": "folknik/notebooke1cb2e08ab", "kernel_id": "95931"}, {"ref": "folknik/detailed-data-exploration-in-python", "kernel_id": "94912"}, {"ref": "folknik/notebook575c9bcbaa", "kernel_id": "95051"}, {"ref": "aalokkshah/notebookee6fc43ecb", "kernel_id": "135134"}, {"ref": "aalokkshah/ames-dataset", "kernel_id": "133730"}, {"ref": "nyartsgnaw/notebookc157b8e641", "kernel_id": "125433"}, {"ref": "peterkirby/regularized-linear-models", "kernel_id": "107860"}, {"ref": "shashankakki/xgboost-mice-implementation-in-r", "kernel_id": "138603"}, {"ref": "bhavesh09/house-prices-linear-impl", "kernel_id": "221697"}, {"ref": "bhavesh09/notebookc9f4677376", "kernel_id": "221693"}, {"ref": "bhavesh09/housepriceprediction", "kernel_id": "230078"}, {"ref": "bhavesh09/notebook41debc4a17", "kernel_id": "269652"}, {"ref": "bhavesh09/housepricepredictionrf", "kernel_id": "240595"}, {"ref": "bhavesh09/house-prices-feature-exploration", "kernel_id": "370451"}, {"ref": "demoleo/detailed-data-exploration-in-python", "kernel_id": "135476"}, {"ref": "ximozh/stacking-lasso-gbm-rf-stacking-0-118", "kernel_id": "245574"}, {"ref": "ximozh/log-transformed-regression", "kernel_id": "245470"}, {"ref": "ximozh/notebookd6571bd177", "kernel_id": "245204"}, {"ref": "vidmath25/eda-using-python", "kernel_id": "952245"}, {"ref": "riojulian/notebook2f446380af", "kernel_id": "142069"}, {"ref": "riojulian/notebookd62d391326", "kernel_id": "141340"}, {"ref": "vrishank97/linear-regression", "kernel_id": "170093"}, {"ref": "vrishank97/linear-regression-with-drop-columns", "kernel_id": "170095"}, {"ref": "vrishank97/ridge-lasso", "kernel_id": "170096"}, {"ref": "kirild/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "187047"}, {"ref": "liuy0095/notebookb1537b28d8", "kernel_id": "208021"}, {"ref": "liuy0095/notebook4abf7b6fc6", "kernel_id": "208022"}, {"ref": "dkoehn/notebookbd6bbd71f6", "kernel_id": "105582"}, {"ref": "fashoo/regularized-linear-models", "kernel_id": "172193"}, {"ref": "adeelk/notebook217137533b", "kernel_id": "171387"}, {"ref": "adeelk/notebookb834a28987", "kernel_id": "171385"}, {"ref": "adeelk/house-prices", "kernel_id": "184164"}, {"ref": "davidvolent/notebook2b0b664761", "kernel_id": "150700"}, {"ref": "davidvolent/notebook3a46c3cfb5", "kernel_id": "150713"}, {"ref": "anshbansal/notebook8dc365707b", "kernel_id": "167194"}, {"ref": "anshbansal/regularized-linear-models", "kernel_id": "167195"}, {"ref": "anshbansal/notebook4e350479ca", "kernel_id": "161749"}, {"ref": "hassansin/house-prices-data-exploration-and-visualisation", "kernel_id": "175272"}, {"ref": "robo87/regularized-linear-models", "kernel_id": "138423"}, {"ref": "robo87/notebook3df5cda91f", "kernel_id": "138020"}, {"ref": "mountlee/regularized-linear-models", "kernel_id": "139181"}, {"ref": "mountlee/notebookd6afbd7d42", "kernel_id": "144132"}, {"ref": "mountlee/lasso-12-24", "kernel_id": "144122"}, {"ref": "mountlee/notebook595ff619a2", "kernel_id": "144195"}, {"ref": "mountlee/notebook3719866e0b", "kernel_id": "144436"}, {"ref": "mountlee/combine-four-model", "kernel_id": "144438"}, {"ref": "awildeman/regularized-linear-models", "kernel_id": "116479"}, {"ref": "awildeman/regularized-linear-models-ff7723fd", "kernel_id": "116493"}, {"ref": "qarije/notebook92d89366fe", "kernel_id": "189795"}, {"ref": "qarije/notebook2c812e9a5a", "kernel_id": "189797"}, {"ref": "hakabuk/python-data-exploration", "kernel_id": "172095"}, {"ref": "ryancaldwell/data-exploration", "kernel_id": "236100"}, {"ref": "timolee/finding-trees-through-the-forest-a-rf-dissection", "kernel_id": "473304"}, {"ref": "timolee/a-home-for-pandas-and-sklearn-beginner-how-tos", "kernel_id": "468185"}, {"ref": "mrwelch3345/notebook07ec009e3b", "kernel_id": "113162"}, {"ref": "firdause/notebook9bb87a471b", "kernel_id": "162201"}, {"ref": "dowwie/comprehensive-data-exploration-with-python", "kernel_id": "190109"}, {"ref": "tonbadal/prova-py", "kernel_id": "129472"}, {"ref": "tonbadal/notebook842c8cf9ea", "kernel_id": "133188"}, {"ref": "puxuan/regularized-linear-models", "kernel_id": "117043"}, {"ref": "vishal86/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "267785"}, {"ref": "longxingol/notebooke2cdd372b3", "kernel_id": "272333"}, {"ref": "attafosu/comprehensive-data-exploration-with-python", "kernel_id": "189638"}, {"ref": "attafosu/pca-and-regression", "kernel_id": "189557"}, {"ref": "dorotacn/trial", "kernel_id": "105393"}, {"ref": "dorotacn/house-data-wrangling-1", "kernel_id": "106615"}, {"ref": "dorotacn/outliers", "kernel_id": "113262"}, {"ref": "dorotacn/notebook1307495a2a", "kernel_id": "135684"}, {"ref": "dorotacn/data-wrangling-2", "kernel_id": "131160"}, {"ref": "zhanghe/regularized-linear-models", "kernel_id": "120562"}, {"ref": "chelimin/regression-study-applied-to-the-ames-dataset", "kernel_id": "223860"}, {"ref": "chelimin/notebookc8b467275f", "kernel_id": "196558"}, {"ref": "chelimin/housing-prices-data-exploration-with-python", "kernel_id": "198261"}, {"ref": "chelimin/notebookc6ee2a04dd", "kernel_id": "198225"}, {"ref": "chelimin/housing-xgb", "kernel_id": "198205"}, {"ref": "chelimin/home-prices-exploration", "kernel_id": "199095"}, {"ref": "chelimin/pca-and-regression-a89aef", "kernel_id": "198852"}, {"ref": "chelimin/housingprices2-tf", "kernel_id": "198830"}, {"ref": "darquesm/house-prices-ensemble-regressors", "kernel_id": "320681"}, {"ref": "kevinr/regularized-linear-models", "kernel_id": "146491"}, {"ref": "jimliu/automated-prediction", "kernel_id": "124882"}, {"ref": "jimliu/notebook43ba894a6a", "kernel_id": "177184"}, {"ref": "jimliu/notebook907fb8f578", "kernel_id": "152726"}, {"ref": "d2fdydx/notebook8e9e30c5fc", "kernel_id": "149601"}, {"ref": "d2fdydx/testing", "kernel_id": "149615"}, {"ref": "machinando/regularized-linear-models", "kernel_id": "133269"}, {"ref": "thegr8h/randomforestregressor", "kernel_id": "155292"}, {"ref": "thegr8h/regularized-linear-models", "kernel_id": "153298"}, {"ref": "thegr8h/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "153986"}, {"ref": "zubairahmed/randomforestregressor-with-score-of-0-14765", "kernel_id": "253580"}, {"ref": "shoktk/regularized-linear-models", "kernel_id": "194191"}, {"ref": "shoktk/lasso-model-for-regression-problem", "kernel_id": "194196"}, {"ref": "shoktk/detailed-data-exploration-in-python", "kernel_id": "194197"}, {"ref": "shoktk/pca-and-regression", "kernel_id": "194199"}, {"ref": "shoktk/comprehensive-data-exploration-with-python", "kernel_id": "194200"}, {"ref": "ocurbandesign/5-day-data-challenge-day-2", "kernel_id": "474564"}, {"ref": "pradoma/house-prices", "kernel_id": "646393"}, {"ref": "porterhouse/housing-price-prediction-xgboost-gridsearchcv", "kernel_id": "544738"}, {"ref": "akrsrivastava/houseprices-exploratory-data-analysis", "kernel_id": "241798"}, {"ref": "beginnerpuneet/notebookc7a9bf54dd", "kernel_id": "168590"}, {"ref": "ravijp/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "101929"}, {"ref": "ravijp/housepriceregressiontech-v0", "kernel_id": "99489"}, {"ref": "ravijp/my-first-machine-learning-model", "kernel_id": "971619"}, {"ref": "prestonvanloon/test4", "kernel_id": "168990"}, {"ref": "argsno/notebook12263fdc42", "kernel_id": "162321"}, {"ref": "ybping/notebook1420c05a98", "kernel_id": "219705"}, {"ref": "tejank10/notebookc2ac988a48", "kernel_id": "152720"}, {"ref": "alexyung757/recruit-restaurant-visitor-forecasting-mix-model", "kernel_id": "120527"}, {"ref": "alexyung757/boruta-and-randomforest-new", "kernel_id": "340636"}, {"ref": "darkmatter11235/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "270132"}, {"ref": "lovedo/house-price-regressor-practice", "kernel_id": "170287"}, {"ref": "trgosselin14/notebookf9397b717d", "kernel_id": "170155"}, {"ref": "abdulhamid/regularized-linear-models", "kernel_id": "106221"}, {"ref": "bowtieboyd/notebooke15118826d", "kernel_id": "105844"}, {"ref": "qq1034616238/notebook80b31b009d", "kernel_id": "245374"}, {"ref": "qq1034616238/your-first-scikit-learn-model", "kernel_id": "561534"}, {"ref": "qq1034616238/model-validation", "kernel_id": "561583"}, {"ref": "qq1034616238/underfitting-overfitting-and-model-optimization", "kernel_id": "561666"}, {"ref": "qq1034616238/xgboost-0-133", "kernel_id": "561976"}, {"ref": "bdaubney/housing-prices", "kernel_id": "124465"}, {"ref": "rsesha/comparing-pycaret-and-autoviml-on-housing-dataset", "kernel_id": "291482"}, {"ref": "sandraezidiegwu/baseline-prediction-for-housing-prices", "kernel_id": "99479"}, {"ref": "sandraezidiegwu/recreating-the-house-prices-benchmark-in-python", "kernel_id": "99450"}, {"ref": "mrugankakarte/notebookdca07f1382", "kernel_id": "249632"}, {"ref": "sinayoko/regularized-linear-models", "kernel_id": "121363"}, {"ref": "jasonhan/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "104928"}, {"ref": "jasonhan/randomforestregressor", "kernel_id": "104949"}, {"ref": "jasonhan/detailed-data-exploration-in-python", "kernel_id": "104827"}, {"ref": "jasonhan/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "105245"}, {"ref": "terabytes/using-xgboost-for-feature-selection", "kernel_id": "97114"}, {"ref": "terabytes/feature-selection-for-house-prices", "kernel_id": "103829"}, {"ref": "rajatxx/house-price-data-exploration", "kernel_id": "366112"}, {"ref": "kaushikkumar005/house-price-prediction", "kernel_id": "270444"}, {"ref": "kaushikkumar005/housing-pricing-test", "kernel_id": "215867"}, {"ref": "juliencs/eda-in-python", "kernel_id": "92809"}, {"ref": "juliencs/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "100990"}, {"ref": "bofill/notebook90e175005c", "kernel_id": "167939"}, {"ref": "hereismyname/housing-prices-with-ranger", "kernel_id": "695561"}, {"ref": "pokofang/notebook7e721fb4ea", "kernel_id": "141850"}, {"ref": "pokofang/notebook6b664d1b23", "kernel_id": "133425"}, {"ref": "pokofang/notebookefd3768436", "kernel_id": "135747"}, {"ref": "fiifi123/notebook6035c4e53b", "kernel_id": "226698"}, {"ref": "vaibhavs10/kaggle-learn-ml", "kernel_id": "551918"}, {"ref": "adambond/python-mice-regularized-linear-models", "kernel_id": "219262"}, {"ref": "jeffd23/analyzing-10-regressors-out-of-the-box", "kernel_id": "147686"}, {"ref": "et314159/firstsubmission", "kernel_id": "99471"}, {"ref": "odinzheng/notebookbaefc727cb", "kernel_id": "94091"}, {"ref": "ketansahils/notebook1baf3b23f6", "kernel_id": "97921"}, {"ref": "ketansahils/notebook6fed652eac", "kernel_id": "96927"}, {"ref": "koostb/detailed-data-exploration-in-python", "kernel_id": "99491"}, {"ref": "koostb/notebook4099128694", "kernel_id": "101945"}, {"ref": "koostb/regularized-linear-models", "kernel_id": "101897"}, {"ref": "waynewsd/my-first-machine-learning-model", "kernel_id": "841277"}, {"ref": "wannjiun/notebookb106213e97", "kernel_id": "147564"}, {"ref": "nashit93/housing-prices-beginner-s-tutorial", "kernel_id": "567501"}, {"ref": "simooh/fun-with-real-estate-data", "kernel_id": "150804"}, {"ref": "simooh/ahoy-all-relevant-guests-on-board-let-s-sail", "kernel_id": "150791"}, {"ref": "simooh/notebook02520457c0", "kernel_id": "146333"}, {"ref": "sallymiddleton/notebook8d235f5f49", "kernel_id": "103575"}, {"ref": "lxs0202/housing-sales-analysis", "kernel_id": "168351"}, {"ref": "lxs0202/xgboost-lasso", "kernel_id": "184139"}, {"ref": "netoalcides/neural-network-approach-visualized-with-t-sne", "kernel_id": "148307"}, {"ref": "eleijonmarck/notebookce6ed361b6", "kernel_id": "231480"}, {"ref": "prank08/housing", "kernel_id": "120279"}, {"ref": "prank08/house-regression", "kernel_id": "120292"}, {"ref": "jianyao/regularized-linear-models", "kernel_id": "97322"}, {"ref": "analyticsguru/feature-selection-for-house-prices", "kernel_id": "127404"}, {"ref": "sgaied/regularized-linear-models", "kernel_id": "197086"}, {"ref": "pineapplebun/notebook42ff292b5a", "kernel_id": "155096"}, {"ref": "chuehluo/my-script", "kernel_id": "131222"}, {"ref": "withsnaveen/notebooke5c0213e92", "kernel_id": "227075"}, {"ref": "rybe322/fork-of-starting-your-ml-project", "kernel_id": "584495"}, {"ref": "rybe322/submitting-from-a-kernel", "kernel_id": "584634"}, {"ref": "apr1994/notebook4452a0a87a", "kernel_id": "106769"}, {"ref": "da9976/my-first-machine-learning-model", "kernel_id": "940468"}, {"ref": "jdunavin/predicting-house-prices-in-ames-iowa", "kernel_id": "147077"}, {"ref": "hirokiii/comprehensive-data-exploration-with-python", "kernel_id": "242114"}, {"ref": "ruudhendrikx/detailed-data-exploration-in-python-3a3ef5ec", "kernel_id": "112096"}, {"ref": "ruudhendrikx/detailed-data-exploration-in-python", "kernel_id": "103847"}, {"ref": "giewev/notebookdff46c0d41", "kernel_id": "224109"}, {"ref": "browdues/regularized-linear-models", "kernel_id": "173534"}, {"ref": "chanlee514/regularized-linear-models", "kernel_id": "110249"}, {"ref": "nikhilverma1395/handling-missing-values", "kernel_id": "808192"}, {"ref": "ayojohnson/my-first-machine-learning-model-351117", "kernel_id": "761604"}, {"ref": "sugiantolauw/notebook01ca864a7b", "kernel_id": "94334"}, {"ref": "takizawa/notebook70cf4b00f4", "kernel_id": "235548"}, {"ref": "takizawa/notebook07ec740841", "kernel_id": "235549"}, {"ref": "takizawa/notebook5fa9f0a750", "kernel_id": "235543"}, {"ref": "takizawa/kaggle-tutorial-house-prices", "kernel_id": "226511"}, {"ref": "takizawa/notebook7010ec90d3", "kernel_id": "226353"}, {"ref": "takizawa/house-prices-prediction", "kernel_id": "218960"}, {"ref": "vijaikm/house-price-different-type-of-ml-regression", "kernel_id": "422656"}, {"ref": "pushkarnim/regularized-linear-models-b6bf437e", "kernel_id": "144101"}, {"ref": "pushkarnim/regularized-linear-models-80d19ac4", "kernel_id": "144108"}, {"ref": "pushkarnim/regularized-linear-models-8322dcf2", "kernel_id": "144114"}, {"ref": "pushkarnim/regularized-linear-models", "kernel_id": "142083"}, {"ref": "johnmaxi/quick-eda-and-decisiontreeregressor", "kernel_id": "124789"}, {"ref": "johnmaxi/notebook21de20d974", "kernel_id": "124781"}, {"ref": "johnmaxi/notebook930d4ddd98", "kernel_id": "122114"}, {"ref": "sethzgold/notebooka255ce50be", "kernel_id": "195095"}, {"ref": "prakashyadav008/notebook20ec0ac70f", "kernel_id": "127591"}, {"ref": "akshaykumarvikram/notebooke4f29ac2ce", "kernel_id": "163663"}, {"ref": "akshaykumarvikram/regularized-linear-models", "kernel_id": "162204"}, {"ref": "mtitkov/notebook9dba2ad5ab", "kernel_id": "134359"}, {"ref": "patricknadeau/my-model", "kernel_id": "417747"}, {"ref": "taipan/boruta-feature-importance-analysis", "kernel_id": "114754"}, {"ref": "bcjdatascience/filling-up-missing-values", "kernel_id": "216711"}, {"ref": "lordsauron/regularized-linear-models", "kernel_id": "164500"}, {"ref": "lordsauron/regularized-linear-models-c6fbad96", "kernel_id": "164507"}, {"ref": "lordsauron/regularized-linear-models-51174c70", "kernel_id": "164574"}, {"ref": "cuizhongjiang/advanced-regression-exercise", "kernel_id": "220955"}, {"ref": "venkatp1997/lasso-model-for-regression-problem-a09ab048", "kernel_id": "101205"}, {"ref": "venkatp1997/lasso-model-for-regression-problem", "kernel_id": "100467"}, {"ref": "pyxide/notebook6323454f7c", "kernel_id": "104588"}, {"ref": "zgo2016/price-random-forest", "kernel_id": "115898"}, {"ref": "texmexmachine/introduction-to-data-science", "kernel_id": "102146"}, {"ref": "texmexmachine/lasso-model-for-regression-problem", "kernel_id": "105579"}, {"ref": "comartel/notebook0b1613b6c0", "kernel_id": "93088"}, {"ref": "comartel/house-price-xgboost-starter", "kernel_id": "93089"}, {"ref": "tillman52/notebook5c388dfc31", "kernel_id": "94852"}, {"ref": "kenjikamimoto/notebook0f28e979bf", "kernel_id": "165681"}, {"ref": "kenjikamimoto/regularized-linear-models", "kernel_id": "167051"}, {"ref": "kenjikamimoto/regularized-linear-models-5b3b550c", "kernel_id": "171687"}, {"ref": "dwalczak/test1", "kernel_id": "124505"}, {"ref": "wambuif/predicting-house-price", "kernel_id": "310469"}, {"ref": "graham123/my-first-machine-learning-model", "kernel_id": "945843"}, {"ref": "hendraherviawan/neural-network-starter-using-keras", "kernel_id": "448286"}, {"ref": "tennissuperstar/notebook9d0dabf111", "kernel_id": "100008"}, {"ref": "tennissuperstar/linear-regression", "kernel_id": "101585"}, {"ref": "tennissuperstar/linear-regression-and-randomforestregressor", "kernel_id": "101592"}, {"ref": "tennissuperstar/data-exploration", "kernel_id": "101116"}, {"ref": "tennissuperstar/10-different-models", "kernel_id": "101128"}, {"ref": "tennissuperstar/lasso-regularization", "kernel_id": "101440"}, {"ref": "landon/regularized-linear-models-ccfa1d89", "kernel_id": "162946"}, {"ref": "landon/improvements-study", "kernel_id": "151228"}, {"ref": "landon/xgboost", "kernel_id": "151222"}, {"ref": "subbareddyyeruva/a-study-on-regression-applied-to-the-ames-d-00a0cf", "kernel_id": "262320"}, {"ref": "subbareddyyeruva/using-xgboost-for-feature-selection", "kernel_id": "262337"}, {"ref": "subbareddyyeruva/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "262292"}, {"ref": "touhami/notebookfa515e729b", "kernel_id": "163295"}, {"ref": "sharmasanthosh/exploratory-study-of-ml-algorithms-1", "kernel_id": "107086"}, {"ref": "cherryjoyce/regularized-linear-models", "kernel_id": "137314"}, {"ref": "macromancer/notebook3774d78bee", "kernel_id": "117016"}, {"ref": "qwikfix/comprehensive-python-data-exploration", "kernel_id": "249211"}, {"ref": "prakashpandey/notebook95c3a1da69", "kernel_id": "135585"}, {"ref": "mohityadav/my-model-4eab22", "kernel_id": "667173"}, {"ref": "yasasa/notebookb1cac12b96", "kernel_id": "240498"}, {"ref": "yasasa/notebook7a051508ed", "kernel_id": "240378"}, {"ref": "lasisioo/prepare-data", "kernel_id": "98862"}, {"ref": "andoxir/notebook2872fffac8", "kernel_id": "225470"}, {"ref": "ryaglad/regularized-linear-models", "kernel_id": "114975"}, {"ref": "xingobar/house-price-data-visualization", "kernel_id": "119225"}, {"ref": "xingobar/xgboost-lasso", "kernel_id": "119298"}, {"ref": "lins05/detailed-data-exploration-in-python", "kernel_id": "100868"}, {"ref": "lins05/regularized-linear-models", "kernel_id": "100851"}, {"ref": "karandesai16/notebook118310f69d", "kernel_id": "269149"}, {"ref": "sharnam19/cleaning-selection-prediction-using-rf", "kernel_id": "209894"}, {"ref": "sharnam19/notebook9dbe39b641", "kernel_id": "145807"}, {"ref": "donxta/lasso-model-for-regression-problem", "kernel_id": "102798"}, {"ref": "jgoldschmidt/notebookd66dee970a", "kernel_id": "204636"}, {"ref": "nishantwelpulwar/my-first-machine-learning-model", "kernel_id": "753417"}, {"ref": "jianxun/try-it", "kernel_id": "212062"}, {"ref": "lianyangfeng/house-prices-eda", "kernel_id": "220887"}, {"ref": "mohammedkhamisamro/lasso-model-for-regression-problem", "kernel_id": "182828"}, {"ref": "skirmer/fun-with-real-estate-data", "kernel_id": "93115"}, {"ref": "albertogutierrez/test1", "kernel_id": "161771"}, {"ref": "steffigu/regularized-linear-models", "kernel_id": "147192"}, {"ref": "steffigu/regularized-linear-models-3f888be4", "kernel_id": "147205"}, {"ref": "devisangeetha/my-first-competition", "kernel_id": "290058"}, {"ref": "shyambv1/notebook6e0f15cb53", "kernel_id": "264730"}, {"ref": "frjo0083/stacking-starter", "kernel_id": "158494"}, {"ref": "eliekawerk/structuring-a-supervised-learning-project", "kernel_id": "253258"}, {"ref": "crhareesh/notebookbf0c9e7866", "kernel_id": "222799"}, {"ref": "tejasrd/detailed-exploratory-data-analysis-using-r", "kernel_id": "240895"}, {"ref": "vikasjce/house-rate-prediction", "kernel_id": "114333"}, {"ref": "vickyliu/notebook25d277f6c3", "kernel_id": "185845"}, {"ref": "sunnyrain/regularized-linear-models-bd009475", "kernel_id": "97031"}, {"ref": "sunnyrain/regularized-linear-models-62d744e1", "kernel_id": "96880"}, {"ref": "sunnyrain/regularized-linear-models", "kernel_id": "96870"}, {"ref": "sunnyrain/test-for-steve", "kernel_id": "96148"}, {"ref": "sunnyrain/randomforestregressor", "kernel_id": "101695"}, {"ref": "prasadpagade/house-price-prediction", "kernel_id": "282631"}, {"ref": "akanai/notebook77d80b4ac6", "kernel_id": "182014"}, {"ref": "raisa3006/handling-missing-values", "kernel_id": "772890"}, {"ref": "erikalien/a-easy-try-to-use-kernel-for-the-first-time", "kernel_id": "979200"}, {"ref": "denespanta/reg-experiments", "kernel_id": "330979"}, {"ref": "drsergio/visualization-feature-generation-house-prices", "kernel_id": "200367"}, {"ref": "kswada/notebook036b415a9c", "kernel_id": "194705"}, {"ref": "luisapires/price-prediction-2f7cea", "kernel_id": "210165"}, {"ref": "apenassandokhan/starting-your-ml-project", "kernel_id": "551658"}, {"ref": "pauloalozen/notebook6a90b14c86", "kernel_id": "129392"}, {"ref": "axc111/starting-your-ml-project", "kernel_id": "814066"}, {"ref": "axc111/selecting-and-filtering-in-pandas", "kernel_id": "817455"}, {"ref": "mymkyt/notebookba24f46be8", "kernel_id": "110957"}, {"ref": "mymkyt/simple-lasso-public-score-0-12102", "kernel_id": "111003"}, {"ref": "mymkyt/notebook2b57ab9f87", "kernel_id": "111496"}, {"ref": "sree14/homes", "kernel_id": "155212"}, {"ref": "sree14/notebookbc6ddf3610", "kernel_id": "155102"}, {"ref": "wujustin/notebookc824212829", "kernel_id": "132154"}, {"ref": "wujustin/notebook7ca8817403", "kernel_id": "132160"}, {"ref": "wujustin/housepricepred-20170313", "kernel_id": "209456"}, {"ref": "wujustin/fork-of-housepricepred-20170313", "kernel_id": "210206"}, {"ref": "wujustin/hourseprice-20170222", "kernel_id": "191415"}, {"ref": "wujustin/fork-of-fork-of-hourseprice-20170101-1d9d24", "kernel_id": "190388"}, {"ref": "wujustin/hourseprice-20170221-v3", "kernel_id": "190785"}, {"ref": "wujustin/hourseprice-20170223", "kernel_id": "192679"}, {"ref": "wujustin/hourseprice-20170222-446dc2", "kernel_id": "192794"}, {"ref": "wujustin/fork-of-hourseprice-20170222-eb6514", "kernel_id": "192859"}, {"ref": "wujustin/fork-of-hourseprice-20170222-210361", "kernel_id": "192861"}, {"ref": "wujustin/notebook737ec16b49", "kernel_id": "200039"}, {"ref": "wujustin/hourseprice-20170301", "kernel_id": "199253"}, {"ref": "wujustin/hourseprice-20170301-v2", "kernel_id": "199467"}, {"ref": "wujustin/fork-of-hourseprice-20170301-v3", "kernel_id": "199472"}, {"ref": "wujustin/regularized-linear-models", "kernel_id": "194510"}, {"ref": "wujustin/fork-of-fork-of-hourseprice-20170222-210361", "kernel_id": "196475"}, {"ref": "wujustin/notebook2565f5e514", "kernel_id": "141372"}, {"ref": "wujustin/notebookb357c638c2", "kernel_id": "140612"}, {"ref": "wujustin/fork-of-notebook7ca8817403", "kernel_id": "142880"}, {"ref": "wujustin/notebookd7d6e75d05", "kernel_id": "141890"}, {"ref": "wujustin/notebook33b5fef0ed", "kernel_id": "141891"}, {"ref": "wujustin/fork-of-fork-of-notebook7ca8817403", "kernel_id": "144455"}, {"ref": "wujustin/houseprice-20170101", "kernel_id": "149271"}, {"ref": "wujustin/fork-of-fork-of-notebook7ca8817403-938aa5e3", "kernel_id": "149276"}, {"ref": "wujustin/fork-of-hourseprice-20170101", "kernel_id": "150767"}, {"ref": "wujustin/fork-of-fork-of-hourseprice-20170101", "kernel_id": "150898"}, {"ref": "ashutosh153/notebook9e0cf183d0", "kernel_id": "106158"}, {"ref": "muwajorda/my-first-machine-learning-model", "kernel_id": "844001"}, {"ref": "noklamchan/random-forest-0-14-stack-linearregression-0-137", "kernel_id": "341433"}, {"ref": "mssumrani/detailed-data-exploration-in-python", "kernel_id": "94598"}, {"ref": "dongdongwang/notebook0f862bc7c6", "kernel_id": "93430"}, {"ref": "dongdongwang/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "93873"}, {"ref": "eapuerta/house-prices-advanced-regression-techniques", "kernel_id": "118485"}, {"ref": "larriemo/prediciendo-con-ridge", "kernel_id": "118951"}, {"ref": "mountaindata/house-price-regression", "kernel_id": "124964"}, {"ref": "zamanashiq3/notebookba12940e4e", "kernel_id": "94022"}, {"ref": "rishabh1khurana/notebook2309afe91b", "kernel_id": "223033"}, {"ref": "sona58/house-prices-in-r", "kernel_id": "93675"}, {"ref": "amit12may/housing-price-gbm", "kernel_id": "240119"}, {"ref": "dgallegos/housing-prices", "kernel_id": "234338"}, {"ref": "jdossgollin/exploring", "kernel_id": "223150"}, {"ref": "swapnilashtekar/regularized-linear-models", "kernel_id": "101097"}, {"ref": "shaxar/sklearn-model-copied", "kernel_id": "249080"}, {"ref": "yangshubin/notebook83ab0b51fc", "kernel_id": "122961"}, {"ref": "jameswong1234/house-price", "kernel_id": "227025"}, {"ref": "jameswong1234/notebook77ec291038", "kernel_id": "227048"}, {"ref": "jameswong1234/check-the-data", "kernel_id": "182596"}, {"ref": "jameswong1234/notebook6e2e93c7c2", "kernel_id": "182605"}, {"ref": "nverma22/notebook12ca82097c", "kernel_id": "212145"}, {"ref": "tranjames/basic-house-prices-exploratory-analysis", "kernel_id": "542849"}, {"ref": "rahulkgp6061/data-explo", "kernel_id": "150976"}, {"ref": "rahulkgp6061/notebook66e1edc230", "kernel_id": "150967"}, {"ref": "rahulkgp6061/notebook7af2340e15", "kernel_id": "154230"}, {"ref": "rahulkgp6061/notebook88d523aa66", "kernel_id": "154246"}, {"ref": "alexfuster/solving-the-problem-the-complete-process", "kernel_id": "470381"}, {"ref": "clustersrus/house-prices-dealing-with-the-missing-data", "kernel_id": "169647"}, {"ref": "clustersrus/fork-of-house-prices-handling-the-missing-data", "kernel_id": "169664"}, {"ref": "kyleockerlund/notebookc816b7d584", "kernel_id": "95868"}, {"ref": "kyleockerlund/housing-data-attempt-f", "kernel_id": "95852"}, {"ref": "kyleockerlund/house-regression-standard-input", "kernel_id": "95286"}, {"ref": "kyleockerlund/notebookb52b3464ef", "kernel_id": "95554"}, {"ref": "kyleockerlund/notebook8f682444ba", "kernel_id": "95095"}, {"ref": "kyleockerlund/house-vector-prediction", "kernel_id": "95021"}, {"ref": "capitanopo/notebook3155637894", "kernel_id": "350263"}, {"ref": "timonv/notebooka5a8b849fe", "kernel_id": "96355"}, {"ref": "wst1118/notebook254f3fb9ca", "kernel_id": "96146"}, {"ref": "nitinvijay23/solutions-house-prices-lasso-regression", "kernel_id": "138942"}, {"ref": "nitinvijay23/notebookbd6a46f384", "kernel_id": "231255"}, {"ref": "nandys/insightful-visualisations", "kernel_id": "189676"}, {"ref": "nandys/how-to-decrease-0-1-rmse-score", "kernel_id": "170404"}, {"ref": "ynhdng/notebooke4f68a7aee", "kernel_id": "112310"}, {"ref": "algoai/regularized-linear-models", "kernel_id": "97753"}, {"ref": "algoai/regularized-linear-models-e027e955", "kernel_id": "97767"}, {"ref": "rehassachdeva/lasso-model-for-regression-problem", "kernel_id": "102127"}, {"ref": "deepak94/notebook4278fd7360", "kernel_id": "212518"}, {"ref": "dan195/notebook37bd44af8a", "kernel_id": "119830"}, {"ref": "praveen14/house-pred-linear-regression", "kernel_id": "672215"}, {"ref": "praveen14/ridge-regression", "kernel_id": "680720"}, {"ref": "xshipx/linear-model", "kernel_id": "229232"}, {"ref": "liamzheng0/fork-of-house-prices", "kernel_id": "105538"}, {"ref": "liamzheng0/house-prices", "kernel_id": "103254"}, {"ref": "mahesh27/best1-on-exploratory-data-analysis-using-r", "kernel_id": "212312"}, {"ref": "nithinmurali/notebook814a2e357d", "kernel_id": "93332"}, {"ref": "ekami66/detailed-exploratory-data-analysis-with-python", "kernel_id": "164541"}, {"ref": "ekami66/detailed-data-exploration-in-python", "kernel_id": "160441"}, {"ref": "andreyd/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "270368"}, {"ref": "katrix/regularized-linear-models", "kernel_id": "105414"}, {"ref": "gpdata/my-simple-xgboost-house-price-prediction", "kernel_id": "531533"}, {"ref": "gpdata/my-v2-simple-xgboost-house-price-prediction", "kernel_id": "534065"}, {"ref": "gpdata/my-stacked-regressions", "kernel_id": "534203"}, {"ref": "tonysoprano/you-got-this-feature-engineering-and-lasso", "kernel_id": "111186"}, {"ref": "tonysoprano/lasso-model-for-regression-problem", "kernel_id": "111188"}, {"ref": "abhishekgarg96/regularized-linear-models", "kernel_id": "101375"}, {"ref": "eric19xx/filling-up-missing-values", "kernel_id": "175556"}, {"ref": "pavasanth/notebook75d88a2c44", "kernel_id": "117380"}, {"ref": "igorbarsanti/test101", "kernel_id": "146711"}, {"ref": "faameem/kaggle-learn-machine-learning", "kernel_id": "849207"}, {"ref": "venkybuddy/detailed-data-exploration-in-python", "kernel_id": "137229"}, {"ref": "ronybsulca/python-data-exploration", "kernel_id": "99105"}, {"ref": "evimarp/imputing-missing-data-with-the-mice-package-in-r", "kernel_id": "927919"}, {"ref": "jinrui/predicthouseprice", "kernel_id": "134263"}, {"ref": "jinrui/notebooka1a2b30e38", "kernel_id": "134264"}, {"ref": "ankitactive/predicting-house-price-sales", "kernel_id": "119459"}, {"ref": "ankitactive/ahoy-all-relevant-guests-on-board-let-s-sail", "kernel_id": "119659"}, {"ref": "michaldrygajlo/regularized-linear-models", "kernel_id": "175908"}, {"ref": "camartinezbarbosa/regularized-linear-models", "kernel_id": "124901"}, {"ref": "camartinezbarbosa/regularized-linear-models-6a1a94b0", "kernel_id": "152551"}, {"ref": "kylexy999/notebookd47cf45454", "kernel_id": "168064"}, {"ref": "swamiganesan/my-first-machine-learning-model-aec57a", "kernel_id": "866112"}, {"ref": "lsfire/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "140274"}, {"ref": "general1/detailed-data-exploration-in-python", "kernel_id": "100132"}, {"ref": "kkhanh89/regularized-linear-models", "kernel_id": "167428"}, {"ref": "shub01iu/notebookc2d0ba911e", "kernel_id": "254890"}, {"ref": "shub01iu/stacking-starter", "kernel_id": "254311"}, {"ref": "hernan0216/notebook3b73847575", "kernel_id": "265276"}, {"ref": "bala2728/house-price-prediction", "kernel_id": "479050"}, {"ref": "kavyadevarapally/notebook7558e33580", "kernel_id": "123885"}, {"ref": "thething/house-value-prediction-test", "kernel_id": "93489"}, {"ref": "gabcool/notebook19c095fe75", "kernel_id": "92623"}, {"ref": "gabcool/notebookbf5d892959", "kernel_id": "92615"}, {"ref": "nsnilay/notebookbe09a5928c", "kernel_id": "112892"}, {"ref": "nsnilay/fork-of-evaluating-different-regression-models", "kernel_id": "128647"}, {"ref": "nsnilay/evaluating-different-regression-models", "kernel_id": "128375"}, {"ref": "otwordsne1/randomforestregressor", "kernel_id": "103383"}, {"ref": "propk27/notebook7255c39e1a", "kernel_id": "221189"}, {"ref": "propk27/housing-prices", "kernel_id": "217687"}, {"ref": "propk27/housing-prices-using-dummies", "kernel_id": "234620"}, {"ref": "deedidi177/pca-and-regression", "kernel_id": "195609"}, {"ref": "deedidi177/notebookc983e37de6", "kernel_id": "191464"}, {"ref": "deedidi177/linear-regression-model-on-housing-pricing", "kernel_id": "191466"}, {"ref": "punyajoy/my-first-machine-learning-model", "kernel_id": "764527"}, {"ref": "lohanii/housing-prices-trial-script", "kernel_id": "214895"}, {"ref": "vrmbit/python-data-exploration", "kernel_id": "109143"}, {"ref": "vrmbit/0-1-house-prices", "kernel_id": "107931"}, {"ref": "diegosiebra/neural-network-model-for-house-prices-keras", "kernel_id": "418933"}, {"ref": "nlprunner/housing-prices-prediction-with-scikit-learn", "kernel_id": "131717"}, {"ref": "nlprunner/regularized-linear-models", "kernel_id": "129752"}, {"ref": "carlosalvarenga/notebookb3b17dcd83", "kernel_id": "179172"}, {"ref": "charithz997/notebookc368e62876", "kernel_id": "120994"}, {"ref": "charithz997/predict-house-prices", "kernel_id": "115883"}, {"ref": "simonsti/lasso-model-for-regression-problem", "kernel_id": "195571"}, {"ref": "cklwankaggle/notebookf23dda8f24", "kernel_id": "114499"}, {"ref": "abhi4singhal/notebookf9f8e47df0", "kernel_id": "228926"}, {"ref": "lagotus/regularized-linear-models", "kernel_id": "169802"}, {"ref": "apoorva6/house", "kernel_id": "116638"}, {"ref": "datamatta/notebook8ef2cce4fe", "kernel_id": "143850"}, {"ref": "datamatta/house-prices-data-exploration-and-visualisation", "kernel_id": "174735"}, {"ref": "alphacoco/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "566988"}, {"ref": "whonghui/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "106124"}, {"ref": "whonghui/regularized-linear-models", "kernel_id": "103690"}, {"ref": "whonghui/housing-price-prediction-w-sklearn", "kernel_id": "105863"}, {"ref": "hushenglang/comprehensive-data-exploration-with-python-9ff094", "kernel_id": "291774"}, {"ref": "matias3/house-prices", "kernel_id": "168230"}, {"ref": "robertp/notebook2d7aed5bfe", "kernel_id": "105799"}, {"ref": "jamesmcgrath/detailed-data-exploration-in-python-0fc9ff61", "kernel_id": "135126"}, {"ref": "jamesmcgrath/regularized-linear-models", "kernel_id": "135124"}, {"ref": "jamesmcgrath/detailed-data-exploration-in-python", "kernel_id": "135117"}, {"ref": "wolfgangm/kaggle-munich-meetup-basic-solution", "kernel_id": "205502"}, {"ref": "niels4/notebookb4e02ba3c0", "kernel_id": "209714"}, {"ref": "jiegzhan/house-price-prediction", "kernel_id": "707725"}, {"ref": "bembo98/notebook3deadb2886", "kernel_id": "93396"}, {"ref": "henry1116/house-price", "kernel_id": "114440"}, {"ref": "henry1116/boston-house-price", "kernel_id": "114441"}, {"ref": "sfymachinlearning/regularized-linear-models", "kernel_id": "115065"}, {"ref": "pharic/predicting-house-prices", "kernel_id": "174486"}, {"ref": "pharic/predict-house-prices", "kernel_id": "189247"}, {"ref": "natejhall89/regularized-linear-models", "kernel_id": "105054"}, {"ref": "nikunjm88/notebook73dd86a2f5", "kernel_id": "148141"}, {"ref": "harshulsoni/notebookffb4feff80", "kernel_id": "154989"}, {"ref": "lebowski330/extensive-feature-engineering", "kernel_id": "137318"}, {"ref": "rainbowtiara/notebook44688d615f", "kernel_id": "102235"}, {"ref": "rainbowtiara/how-much-is-my-house", "kernel_id": "99870"}, {"ref": "rainbowtiara/regularized-linear-models", "kernel_id": "99734"}, {"ref": "parambole/notebook31e05cb6ec", "kernel_id": "112872"}, {"ref": "chibby0ne/my-first-machine-learning-model", "kernel_id": "760066"}, {"ref": "bcross/my-first-machine-learning-model-3eedce", "kernel_id": "848509"}, {"ref": "binilg/regularized-linear-models", "kernel_id": "104109"}, {"ref": "varunkashyapks/house-price-prediction", "kernel_id": "413824"}, {"ref": "bolajio/notebook81dcd34281", "kernel_id": "105899"}, {"ref": "duyetdev/regularized-linear-models", "kernel_id": "115819"}, {"ref": "duyetdev/linear-models", "kernel_id": "115942"}, {"ref": "jeremymaurer/predicting-housing-prices-in-ames-ia", "kernel_id": "99567"}, {"ref": "ironico/detailed-data-exploration-in-python", "kernel_id": "94436"}, {"ref": "deepak95/notebook8b23e5d930", "kernel_id": "144762"}, {"ref": "wolframalpha/lasso-model-for-regression-problem-8a261fc8", "kernel_id": "129503"}, {"ref": "wolframalpha/lasso-model-for-regression-problem", "kernel_id": "128709"}, {"ref": "wolframalpha/regularized-linear-models", "kernel_id": "130987"}, {"ref": "wolframalpha/lasso-model-for-regression-problem-e814173e", "kernel_id": "130584"}, {"ref": "jjlogu/my-first-machine-learning-model", "kernel_id": "730869"}, {"ref": "xaijen/notebook2bf83c29c9", "kernel_id": "243365"}, {"ref": "ashutosh1996/notebook9f6db6f814", "kernel_id": "203158"}, {"ref": "dhfromkorea/regularized-linear-models", "kernel_id": "155331"}, {"ref": "abhinavvarma/regularized-linear-models", "kernel_id": "107429"}, {"ref": "shirleyj27/everything", "kernel_id": "118048"}, {"ref": "johncr3/regularized-linear-models", "kernel_id": "193658"}, {"ref": "johnluo721/house-sale-price-explore", "kernel_id": "180140"}, {"ref": "abhishm20/regularized-linear-models", "kernel_id": "96856"}, {"ref": "perrinpro/dummies-for-dummies-a7f44f93", "kernel_id": "134262"}, {"ref": "perrinpro/dummies-for-dummies-0e37eea6", "kernel_id": "128685"}, {"ref": "perrinpro/detailed-data-exploration-in-python", "kernel_id": "128666"}, {"ref": "perrinpro/dummies-for-dummies-31a26bfb", "kernel_id": "128678"}, {"ref": "perrinpro/detailed-data-exploration-in-python-2f99edac", "kernel_id": "154860"}, {"ref": "perrinpro/detailed-data-exploration-in-python-ab3c9c96", "kernel_id": "154864"}, {"ref": "perrinpro/fork-of-dummies-for-dummies", "kernel_id": "160857"}, {"ref": "kwangje1991/notebooke41e12af92", "kernel_id": "153425"}, {"ref": "kwangje1991/regularized-linear-models", "kernel_id": "133456"}, {"ref": "epipanz/ahemm", "kernel_id": "95235"}, {"ref": "siddhary/comprehensive-data-exploration-with-python", "kernel_id": "422614"}, {"ref": "javiervlab/house-price-model-exploration", "kernel_id": "110513"}, {"ref": "javiervlab/house-price-data-exploration", "kernel_id": "109999"}, {"ref": "dataer2016/ridge-lasso-rf-xgboost-for-house-prices", "kernel_id": "280372"}, {"ref": "dataer2016/notebook470aa8137a", "kernel_id": "280370"}, {"ref": "hiteshprabhu92/detailed-data-exploration-in-python", "kernel_id": "108956"}, {"ref": "sidharthbolar/kagglelearn-iowa", "kernel_id": "569234"}, {"ref": "mootwo7/initialanalysis", "kernel_id": "253983"}, {"ref": "giullianomorroni/housepriceprediction", "kernel_id": "243009"}, {"ref": "roggin/detailed-data-exploration-in-python", "kernel_id": "94744"}, {"ref": "uvcelokesh/cleanup-na-gbm", "kernel_id": "195246"}, {"ref": "vsinha27/notebook008cc919ef", "kernel_id": "203732"}, {"ref": "vsinha27/notebook627df6c5c6", "kernel_id": "203691"}, {"ref": "vsinha27/notebook5921175e99", "kernel_id": "203688"}, {"ref": "tuckerdarby/housing-prices-regression", "kernel_id": "95801"}, {"ref": "shankyt/regularized-linear-models", "kernel_id": "133484"}, {"ref": "shankyt/lasso-model-for-regression-problem", "kernel_id": "128750"}, {"ref": "smallhuihui/notebook477a1918a0", "kernel_id": "232080"}, {"ref": "harshdingwani/notebook340d3c0a11", "kernel_id": "232148"}, {"ref": "harshdingwani/notebook5598a5a6f6", "kernel_id": "232141"}, {"ref": "sanchavan/regularized-regression-housing-pricing", "kernel_id": "183831"}, {"ref": "sanchavan/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "200538"}, {"ref": "maniak/house-price-xgboost-starter", "kernel_id": "99498"}, {"ref": "realllllminj/notebook2f18fa8ade", "kernel_id": "122000"}, {"ref": "luodan/notebookc7719f0c26", "kernel_id": "141270"}, {"ref": "luodan/notebooked7596917a", "kernel_id": "144869"}, {"ref": "shreyasbakre/notebook1011cdfd3c", "kernel_id": "187735"}, {"ref": "shreyasbakre/detailed-exploratory-data-analysis-using-r", "kernel_id": "187730"}, {"ref": "shreyasbakre/housing-price", "kernel_id": "195658"}, {"ref": "wongchen/regularized-linear-models", "kernel_id": "127323"}, {"ref": "nitish92/detailed-exploratory-data-analysis-using-r", "kernel_id": "177490"}, {"ref": "jasonbenner/housing-prices-data-cleanup-and-prep", "kernel_id": "206464"}, {"ref": "chlgudrbdn/notebookf85942dc58", "kernel_id": "123002"}, {"ref": "chlgudrbdn/notebookb875d6e5e1", "kernel_id": "122909"}, {"ref": "jerrywu0904/regularized-linear-models", "kernel_id": "101369"}, {"ref": "r0zeabi/detailed-data-exploration-in-python", "kernel_id": "177128"}, {"ref": "sonuchhabra/ml-level-2-01-handling-missing-values-t", "kernel_id": "785052"}, {"ref": "sonuchhabra/ml-level-1-02-starting-your-ml-project-t", "kernel_id": "814207"}, {"ref": "sonuchhabra/ml-level-1-07-random-forest-t", "kernel_id": "831021"}, {"ref": "sonuchhabra/ml-level-1-08-submitting-from-a-kernel-t", "kernel_id": "831044"}, {"ref": "sonuchhabra/ml-level-1-03-selecting-and-filtering-t", "kernel_id": "830832"}, {"ref": "sonuchhabra/ml-level-1-04-your-first-scikit-learn-model-t", "kernel_id": "830834"}, {"ref": "sonuchhabra/ml-level-1-05-model-validation-t", "kernel_id": "830835"}, {"ref": "sonuchhabra/ml-level-1-06-underfitting-overfitting-t", "kernel_id": "830836"}, {"ref": "sherafgan/lasso-model-for-regression-problem-fa22cb93", "kernel_id": "154780"}, {"ref": "sherafgan/lasso-model-for-regression-problem", "kernel_id": "154334"}, {"ref": "sherafgan/sdssdf-sfdddddddddddddddddddd", "kernel_id": "160261"}, {"ref": "sherafgan/notebookc7e6f06a67", "kernel_id": "160270"}, {"ref": "sherafgan/lin-r-methods-decision-tree-random-forest-0-121", "kernel_id": "160274"}, {"ref": "mxolisi1/my-model", "kernel_id": "544524"}, {"ref": "aravanshad/hp-cruncher", "kernel_id": "199075"}, {"ref": "davidfumo/stacked-regressions-top-4-on-leaderboard", "kernel_id": "347904"}, {"ref": "liuzhiqiang/notebooka759a38b4f", "kernel_id": "121531"}, {"ref": "manybooks/notebookca10724632", "kernel_id": "205527"}, {"ref": "npat0003/notebook06310e2369", "kernel_id": "136774"}, {"ref": "npat0003/house-prices-prediction", "kernel_id": "136779"}, {"ref": "jiashenliu/machine-learning-in-python", "kernel_id": "437660"}, {"ref": "jiashenliu/updated-xgboost-with-parameter-tuning", "kernel_id": "95969"}, {"ref": "leiyan/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "118520"}, {"ref": "klyusba/lasso-model-for-regression-problem", "kernel_id": "97819"}, {"ref": "jessieliujy/notebook447bacbcf9", "kernel_id": "128380"}, {"ref": "dinhjeffrey/regularized-linear-models", "kernel_id": "126959"}, {"ref": "anujsinha3/notebook3d3181b99f", "kernel_id": "312218"}, {"ref": "anujsinha3/housing-price-prediction-basic-working-model", "kernel_id": "312220"}, {"ref": "singbird81/house", "kernel_id": "107535"}, {"ref": "microos/regularized-linear-models-f8082a9f", "kernel_id": "121934"}, {"ref": "patjob/real-estate-prediction", "kernel_id": "256133"}, {"ref": "marytj/housing-data-analysis-by-marytj", "kernel_id": "348540"}, {"ref": "zjjhxkc/notebook92f04f885c", "kernel_id": "153086"}, {"ref": "zjjhxkc/regularized-linear-models", "kernel_id": "153087"}, {"ref": "davinbuczek/notebook9b6a115f19", "kernel_id": "98197"}, {"ref": "ralphdewit/regularized-linear-models", "kernel_id": "119216"}, {"ref": "yhyu13/regularized-linear-models", "kernel_id": "107456"}, {"ref": "yhyu13/detailed-data-exploration-in-python-forked", "kernel_id": "109719"}, {"ref": "yhyu13/lasso-model-for-regression-problem", "kernel_id": "110921"}, {"ref": "qunzhaotian/notebookb1fed17852", "kernel_id": "106889"}, {"ref": "robmarkcole/detailed-data-exploration-in-python", "kernel_id": "96347"}, {"ref": "aagarwa2/my-first-machine-learning-model", "kernel_id": "815700"}, {"ref": "mingqiangao/notebook79db28413b", "kernel_id": "241535"}, {"ref": "playerzed/notebook2aefe864ce", "kernel_id": "96586"}, {"ref": "sym60123/xiaoming-s-regularized-linear-models", "kernel_id": "196741"}, {"ref": "sym60123/my-first-stacking-starter", "kernel_id": "202202"}, {"ref": "ruijiang112/my-first-machine-learning-model", "kernel_id": "968532"}, {"ref": "kandra79/detailed-data-exploration-in-python", "kernel_id": "96056"}, {"ref": "oforia/notebookf5323627c5", "kernel_id": "111104"}, {"ref": "gaurav1411/notebook5751583a7f", "kernel_id": "99974"}, {"ref": "gaurav1411/notebook235bb36be4", "kernel_id": "100030"}, {"ref": "gaurav1411/notebook4ad46a7070", "kernel_id": "101574"}, {"ref": "gaurav1411/lasso-model-for-regression-problem-b033bf25", "kernel_id": "102663"}, {"ref": "kuntalg/housing-sales-analysis", "kernel_id": "101771"}, {"ref": "kuntalg/housing-sales-analysis-33ffb54b", "kernel_id": "104071"}, {"ref": "kuntalg/regularized-linear-models", "kernel_id": "104680"}, {"ref": "kuntalg/regularized-linear-models-fe8496ae", "kernel_id": "123062"}, {"ref": "anbansal/ankur", "kernel_id": "145387"}, {"ref": "sungyongpark/notebook9ea3ea1c3f", "kernel_id": "159780"}, {"ref": "rashichauhan/regularized-linear-models-c35f5193", "kernel_id": "101172"}, {"ref": "rashichauhan/regularized-linear-models", "kernel_id": "101159"}, {"ref": "a98051827/notebook2f856d8d53", "kernel_id": "205628"}, {"ref": "mvdults/notebook442feb001d", "kernel_id": "98955"}, {"ref": "rapriyesid/notebookcfc48145f7", "kernel_id": "265624"}, {"ref": "jessicar/notebook04092d758c", "kernel_id": "121835"}, {"ref": "greengun/first", "kernel_id": "96467"}, {"ref": "rojre1979/regularized-linear-models", "kernel_id": "155665"}, {"ref": "rojre1979/detailed-data-exploration-in-python", "kernel_id": "155737"}, {"ref": "nitin007/detailed-analysis-end-to-end", "kernel_id": "248562"}, {"ref": "nitin007/notebook9bda7e0bc6", "kernel_id": "153465"}, {"ref": "yuanwxu/notebook493fcf5895", "kernel_id": "268879"}, {"ref": "yuanwxu/housing-price-prediction", "kernel_id": "268881"}, {"ref": "kmidlp/notebook4b5bed7efa", "kernel_id": "113117"}, {"ref": "jenntlimb/house-party", "kernel_id": "97333"}, {"ref": "sonder/regularized-linear-models", "kernel_id": "165949"}, {"ref": "sonder/notebook361bb14db5", "kernel_id": "165925"}, {"ref": "nlmorgan/notebook05c5867468", "kernel_id": "97042"}, {"ref": "sugarmoon26/notebook7cb0e1e935", "kernel_id": "230436"}, {"ref": "loghwn/prediction-of-house-prices-3-methods", "kernel_id": "161688"}, {"ref": "loghwn/filling-up-missing-values", "kernel_id": "172712"}, {"ref": "loghwn/regularized-linear-models", "kernel_id": "180209"}, {"ref": "loghwn/firsttry", "kernel_id": "127661"}, {"ref": "nik000/kaggle-house-prices-competition", "kernel_id": "257616"}, {"ref": "acodegame/viewing-house-prices-data", "kernel_id": "122093"}, {"ref": "subashchandra/notebook2b160569ea", "kernel_id": "102887"}, {"ref": "subashchandra/regularized-linear-models", "kernel_id": "101160"}, {"ref": "subashchandra/regularized-linear-models-89382259", "kernel_id": "101935"}, {"ref": "lukereding/comprehensive-data-exploration-with-python", "kernel_id": "241297"}, {"ref": "coffeedog/notebooka4ec4b2ca0", "kernel_id": "116275"}, {"ref": "ravitee/handling-missing-values", "kernel_id": "793808"}, {"ref": "ayushe/notebookeb63387077", "kernel_id": "113633"}, {"ref": "pxd1100/notebook893645d6cb", "kernel_id": "156067"}, {"ref": "venkatkolli/submitting-from-a-kernel-vk", "kernel_id": "795247"}, {"ref": "venkatkolli/handling-missing-values", "kernel_id": "795282"}, {"ref": "venkatkolli/my-first-machine-learning-model-vk", "kernel_id": "776588"}, {"ref": "ravisoni/regularized-linear-models", "kernel_id": "100035"}, {"ref": "ravisoni/data-bears-home-prices", "kernel_id": "100020"}, {"ref": "vfong2/databear-vf", "kernel_id": "100019"}, {"ref": "vfong2/notebookc58f8b9035", "kernel_id": "99973"}, {"ref": "lavande233/regularized-linear-models-9099be0c", "kernel_id": "151895"}, {"ref": "lavande233/detailed-data-exploration-in-python", "kernel_id": "151899"}, {"ref": "lavande233/regularized-linear-models", "kernel_id": "138416"}, {"ref": "danibarretto/a-study-on-regression-applied-to-the-ames-d-c830a1", "kernel_id": "275638"}, {"ref": "danibarretto/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "274983"}, {"ref": "ashchauh/house-valuating-for-beginners-455fa3", "kernel_id": "508392"}, {"ref": "chenxingda/regularized-linear-models", "kernel_id": "106143"}, {"ref": "broyo1/house-prices-data-exploration-and-regression-model", "kernel_id": "140257"}, {"ref": "maximkorobov/playground", "kernel_id": "283817"}, {"ref": "thotapalli/notebook7680bf2d14", "kernel_id": "97280"}, {"ref": "madwhoo/tryscript1", "kernel_id": "97287"}, {"ref": "jordinadal/lasso-model-for-regression-problem", "kernel_id": "100398"}, {"ref": "jordinadal/regularized-linear-models", "kernel_id": "99889"}, {"ref": "tianshuo/xgboost-lasso", "kernel_id": "139367"}, {"ref": "gegeev/notebook8843a03301", "kernel_id": "97507"}, {"ref": "jenningsmao/notebookc10f31c0d1", "kernel_id": "238633"}, {"ref": "vannarahouth/regularized-linear-models", "kernel_id": "97705"}, {"ref": "vannarahouth/regularized-linear-models-cce17b39", "kernel_id": "97714"}, {"ref": "slin17/regularized-linear-models", "kernel_id": "101094"}, {"ref": "devendrabadhe/housing-prices-predicition-in-r-3b55c049", "kernel_id": "104739"}, {"ref": "devendrabadhe/notebook17ad89ef51", "kernel_id": "128311"}, {"ref": "jingbinxu/updated-xgboost-with-parameter-tuning", "kernel_id": "211404"}, {"ref": "shamakollya/basic-linear-benchmark", "kernel_id": "104104"}, {"ref": "ratnesh88/house-price-prediction-and-eda", "kernel_id": "884233"}, {"ref": "leonard00/notebook693678e039", "kernel_id": "97902"}, {"ref": "leonard00/adsfasdf", "kernel_id": "111761"}, {"ref": "cerezj/housing-sales-analysis", "kernel_id": "101780"}, {"ref": "sheenag/notebook414946570e", "kernel_id": "199766"}, {"ref": "ansazz/fun-with-real-estate-data", "kernel_id": "98250"}, {"ref": "sherdil0/notebookfe528ce69b", "kernel_id": "222695"}, {"ref": "mparedes/regularized-linear-models", "kernel_id": "124554"}, {"ref": "sujay1990/housing-prices-eda", "kernel_id": "105002"}, {"ref": "sujay1990/regularized-linear-models", "kernel_id": "101773"}, {"ref": "rinijoy/notebook625cd9490c", "kernel_id": "129191"}, {"ref": "shraddhasubhedar/house-prices-eda-and-regression-algorithms", "kernel_id": "125795"}, {"ref": "shraddhasubhedar/ahoy-all-relevant-guests-on-board-let-s-sail", "kernel_id": "104580"}, {"ref": "ragsx123/notebooka3a466d5cd", "kernel_id": "123159"}, {"ref": "pax008/notebookbf97c71b15", "kernel_id": "102348"}, {"ref": "njainn/notebook774a28bbbb", "kernel_id": "100737"}, {"ref": "njainn/notebookd61f9c74fc", "kernel_id": "101167"}, {"ref": "kristianwang/regularized-linear-models", "kernel_id": "98356"}, {"ref": "nolanlee/houseprice-v1", "kernel_id": "130899"}, {"ref": "spencerjduncan/deep-wide-model", "kernel_id": "230498"}, {"ref": "spencerjduncan/notebook3eab2a33e2", "kernel_id": "230401"}, {"ref": "wangwenyan/notebooke2aa913eda", "kernel_id": "98491"}, {"ref": "ruthred/stacking-starter", "kernel_id": "225304"}, {"ref": "techmind/regularized-linear-models", "kernel_id": "132843"}, {"ref": "techmind/regularized-linear-models-c2208ca8", "kernel_id": "136726"}, {"ref": "edburgin/regularized-linear-models", "kernel_id": "140618"}, {"ref": "funapi/regularized-linear-models", "kernel_id": "162702"}, {"ref": "jialiangcui/notebook3709112af2", "kernel_id": "235854"}, {"ref": "jialiangcui/notebooka7bd7760db", "kernel_id": "238376"}, {"ref": "jialiangcui/notebookfa63462e2d", "kernel_id": "239199"}, {"ref": "ellenhwang/home-prices-analyis", "kernel_id": "100021"}, {"ref": "ellenhwang/notebook2ccdfb11cd", "kernel_id": "100571"}, {"ref": "alexeyivanov/regularized-linear-models", "kernel_id": "98974"}, {"ref": "cannedreporting/randomforestregressor", "kernel_id": "104619"}, {"ref": "phanpa/test-script", "kernel_id": "99461"}, {"ref": "phanpa/notebook9cc5ce1c08", "kernel_id": "99468"}, {"ref": "itownleys/linear-regression", "kernel_id": "101127"}, {"ref": "isakara/notebook0fa06809fc", "kernel_id": "140678"}, {"ref": "isakara/notebook769a61d012", "kernel_id": "140679"}, {"ref": "isakara/notebook60a86abcf0", "kernel_id": "188865"}, {"ref": "powderman/notebook5167c03dc1", "kernel_id": "99775"}, {"ref": "bariloche/regularized-linear-models", "kernel_id": "156443"}, {"ref": "mawais/regularized-linear-models", "kernel_id": "112926"}, {"ref": "pratikshah17/regularized-linear-models-773f94f5", "kernel_id": "115006"}, {"ref": "pratikshah17/regularized-linear-models", "kernel_id": "114751"}, {"ref": "milosv/data-vis-price-per-sq-ft-remodel-date", "kernel_id": "102051"}, {"ref": "annacheng/regularized-linear-models-28f587c4", "kernel_id": "101553"}, {"ref": "annacheng/notebookae718ecd19", "kernel_id": "101110"}, {"ref": "annacheng/regularized-linear-models", "kernel_id": "101540"}, {"ref": "garimaraheja/notebook2b2d8b9450", "kernel_id": "101488"}, {"ref": "garimaraheja/house-prices-project-1", "kernel_id": "101548"}, {"ref": "garimaraheja/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "101556"}, {"ref": "madhusudhanaithal/test123", "kernel_id": "218451"}, {"ref": "madhusudhanaithal/notebookdca5df9ec9", "kernel_id": "213878"}, {"ref": "urbangene/detailed-data-exploration-in-python", "kernel_id": "108409"}, {"ref": "himako/regularized-linear-models", "kernel_id": "171887"}, {"ref": "muriyizz/notebook4da2485275", "kernel_id": "100016"}, {"ref": "muriyizz/only-one-truth-prevails", "kernel_id": "100017"}, {"ref": "parrison/notebookc0f0e23e61", "kernel_id": "167977"}, {"ref": "sergiosg/regularized-linear-models", "kernel_id": "117729"}, {"ref": "mattreid9956/detailed-data-exploration-in-python", "kernel_id": "99078"}, {"ref": "srserves85/using-boosting-and-stacking-after-preprocessing", "kernel_id": "574303"}, {"ref": "joongyang/handling-missing-values", "kernel_id": "777001"}, {"ref": "mkuczak/my-first-machine-learning-model-runthrough", "kernel_id": "848461"}, {"ref": "kushalkk/house-prices-data-exploration-and-visualisation", "kernel_id": "187475"}, {"ref": "mdadhil/regularized-linear-models", "kernel_id": "99157"}, {"ref": "slamnz/chisq-2-way-house-price-regres", "kernel_id": "212068"}, {"ref": "slamnz/pivot-tables-cxcxn-relationships", "kernel_id": "229165"}, {"ref": "slamnz/numerics-categories-house-price-regres", "kernel_id": "224398"}, {"ref": "slamnz/null-table-for-house-price-regression", "kernel_id": "224354"}, {"ref": "slamnz/eda-point-plots-box-plots-and-z-test", "kernel_id": "232115"}, {"ref": "slamnz/pearson-kendall-spearman-correlation-table", "kernel_id": "234416"}, {"ref": "dantehmartinez/house-price-v1", "kernel_id": "99460"}, {"ref": "jojadud/house-prices-1", "kernel_id": "136184"}, {"ref": "semidevil/notebook23cdc02ce3", "kernel_id": "261537"}, {"ref": "semidevil/housprice", "kernel_id": "261532"}, {"ref": "semidevil/houseprice", "kernel_id": "260800"}, {"ref": "ethanryan9/pricepredict", "kernel_id": "170385"}, {"ref": "tiger0810twin/notebookdb94cc2277", "kernel_id": "233074"}, {"ref": "tiger0810twin/notebookd0f42e4187", "kernel_id": "217953"}, {"ref": "zhangzimou/xgboost-lasso", "kernel_id": "150112"}, {"ref": "kashyapbarua/house-prices-tutorial", "kernel_id": "269282"}, {"ref": "omorillo/regularized-linear-models-e8ac0a00", "kernel_id": "131552"}, {"ref": "omorillo/regularized-linear-models", "kernel_id": "131499"}, {"ref": "omorillo/regularized-linear-models-9ed43ebf", "kernel_id": "160276"}, {"ref": "omorillo/regularized-linear-models-a22b746c", "kernel_id": "160277"}, {"ref": "omorillo/linear-and-non-linear-models", "kernel_id": "243332"}, {"ref": "vikibytes/notebookf6699ad043", "kernel_id": "182580"}, {"ref": "vikibytes/predict-sales-r", "kernel_id": "186099"}, {"ref": "honaink/hds-kaggle-day-0924", "kernel_id": "99458"}, {"ref": "honaink/hds-kaggle-day", "kernel_id": "99456"}, {"ref": "siddeshnaik91/first-submission-from-a-new-kaggler1", "kernel_id": "104740"}, {"ref": "frankchen0130/notebook880abd4dd0", "kernel_id": "182698"}, {"ref": "frankchen0130/regularized-linear-models", "kernel_id": "182834"}, {"ref": "snipss/keep-it-simple-not-simpler", "kernel_id": "112088"}, {"ref": "gylovedyf/lasso-model-for-regression-problem", "kernel_id": "119903"}, {"ref": "gylovedyf/notebook45c6693f22", "kernel_id": "121281"}, {"ref": "dataarun/notebookaa6e8d0c47", "kernel_id": "258728"}, {"ref": "mariakuhta/notebooke78f9cfde8", "kernel_id": "123213"}, {"ref": "netguyhyun/notebook98ebe7e344", "kernel_id": "102593"}, {"ref": "jaykol/house-price-predictions", "kernel_id": "137750"}, {"ref": "jaykol/house-price-prediction", "kernel_id": "138371"}, {"ref": "ayushjjwala/read-input", "kernel_id": "100115"}, {"ref": "mmonty12/house-price-py", "kernel_id": "248947"}, {"ref": "ilikejello/notebook4bcb3d8791", "kernel_id": "101154"}, {"ref": "rasuter/notebook5bd0f1751f", "kernel_id": "109576"}, {"ref": "alimorty/notebookd3d98ee231", "kernel_id": "213272"}, {"ref": "jokandre/house-prices-analysis-and-prediction", "kernel_id": "186835"}, {"ref": "jokandre/detailed-data-exploration-in-python", "kernel_id": "187252"}, {"ref": "shasha6464/detailed-data-exploration-in-python", "kernel_id": "122693"}, {"ref": "shrutiag95/sushad", "kernel_id": "746739"}, {"ref": "sweellan/regularized-linear-models", "kernel_id": "139806"}, {"ref": "katanoyu/lasso-model-for-regression-problem", "kernel_id": "179555"}, {"ref": "maluna/notebook38ce1a39ca", "kernel_id": "107879"}, {"ref": "maluna/predict-house-price-with-xgboost-regression", "kernel_id": "107876"}, {"ref": "qccccc/regularized-linear-models", "kernel_id": "108846"}, {"ref": "schliteur/playground", "kernel_id": "164202"}, {"ref": "cherry22/house-prices-data-exploration-and-regression-model", "kernel_id": "108378"}, {"ref": "cherry22/linear-regression-using-xgboost", "kernel_id": "108371"}, {"ref": "dangtu/using-xgboost-with-feature-engineering", "kernel_id": "123135"}, {"ref": "dangtu/house-prediction-with-xgboost", "kernel_id": "123123"}, {"ref": "congshen/detailed-exploratory-data-analysis-using-r", "kernel_id": "130575"}, {"ref": "congshen/house-prices-eda-and-regression-algorithms", "kernel_id": "129700"}, {"ref": "akadavan/pandastut", "kernel_id": "896399"}, {"ref": "anthony212/regularized-linear-models", "kernel_id": "158577"}, {"ref": "kq1017/notebook6bd6b7f83c", "kernel_id": "100793"}, {"ref": "mqayyuumh/my-first-machine-learning-model", "kernel_id": "993357"}, {"ref": "arjit24/data-cleaning-imputation-step-wise-lm", "kernel_id": "432501"}, {"ref": "lanxuan/notebook0e54c10408", "kernel_id": "142100"}, {"ref": "seatrex/notebookacdc525baa", "kernel_id": "234292"}, {"ref": "outfox330/ensemble-model-stacked3-model-example", "kernel_id": "109768"}, {"ref": "sanjana96/myfirstnotebook1", "kernel_id": "887440"}, {"ref": "mohanrajg/detailed-data-exploration-in-python", "kernel_id": "105271"}, {"ref": "ayaseeli/notebookf25bd8e9a5", "kernel_id": "213134"}, {"ref": "bcrad22/notebook9354218bdd", "kernel_id": "149632"}, {"ref": "narayanjogsingh/selecting-and-filtering-in-pandas", "kernel_id": "962053"}, {"ref": "narayanjogsingh/your-first-scikit-learn-model", "kernel_id": "962160"}, {"ref": "narayanjogsingh/model-validation", "kernel_id": "963032"}, {"ref": "ljfernando/predicting-ames-iowa-housing-prices", "kernel_id": "165398"}, {"ref": "ashahidch/notebook2e0aa8d74e", "kernel_id": "101264"}, {"ref": "taurothebull/cubist-after-feature-engineering-and-model-tuning", "kernel_id": "184196"}, {"ref": "taurothebull/data-pre-processing-by-pca", "kernel_id": "185917"}, {"ref": "taurothebull/xgboost-pca", "kernel_id": "202843"}, {"ref": "musella/dimensionality-reduction-using-pca", "kernel_id": "148161"}, {"ref": "nooriaan/predicting-housing-prices-regularized-regression", "kernel_id": "171515"}, {"ref": "adgereal/notebookca32c0aae7", "kernel_id": "105668"}, {"ref": "adgereal/randomforestregressor", "kernel_id": "134744"}, {"ref": "rocket1037/detailed-data-exploration-in-python", "kernel_id": "109429"}, {"ref": "rocket1037/regularized-linear-models", "kernel_id": "109436"}, {"ref": "rocket1037/regularized-linear-models-e6b284b7", "kernel_id": "164279"}, {"ref": "rocket1037/regularized-linear-models-6241ba", "kernel_id": "194002"}, {"ref": "hmiller/regularized-linear-models", "kernel_id": "182762"}, {"ref": "pecey10/predicting-house-prices-using-lm", "kernel_id": "194067"}, {"ref": "forresthu/first-code", "kernel_id": "101687"}, {"ref": "nikhilchavanke/regularized-linear-models", "kernel_id": "101942"}, {"ref": "nikhilchavanke/regularized-linear-models-1928bb92", "kernel_id": "102038"}, {"ref": "ayuk1234/notebook380ab1132d", "kernel_id": "212028"}, {"ref": "alazark/detailed-data-exploration-in-python", "kernel_id": "108343"}, {"ref": "ashk33/regularized-linear-models", "kernel_id": "102152"}, {"ref": "ashk33/notebook6ad0a052ba", "kernel_id": "101868"}, {"ref": "ashk33/mrm-houseprice", "kernel_id": "101862"}, {"ref": "ashk33/houseprice-prediction-notebook", "kernel_id": "101858"}, {"ref": "yarufu/notebook925ed74b8a", "kernel_id": "143285"}, {"ref": "yhdleung/incomplete-notebook-08e76763bdd", "kernel_id": "218829"}, {"ref": "sunchenglin/notebookaf96737d52", "kernel_id": "221883"}, {"ref": "kevindi/regularized-linear-models", "kernel_id": "143767"}, {"ref": "ranjitanair/learning", "kernel_id": "179066"}, {"ref": "ranjitanair/notebook2de67caed6", "kernel_id": "179061"}, {"ref": "ranjitanair/filling-up-missing-values", "kernel_id": "169207"}, {"ref": "ranjitanair/pca-and-regression", "kernel_id": "169210"}, {"ref": "ranjitanair/detailed-data-exploration-in-python", "kernel_id": "169211"}, {"ref": "kagglebdata/first-train", "kernel_id": "155063"}, {"ref": "kagglebdata/regularized-linear-models", "kernel_id": "160856"}, {"ref": "kagglebdata/fork-of-first-train", "kernel_id": "159948"}, {"ref": "doktorgeld/notebookd64994b802", "kernel_id": "239867"}, {"ref": "doktorgeld/script-v66", "kernel_id": "239864"}, {"ref": "ashokdavas/notebook2d2bd2aca7", "kernel_id": "111449"}, {"ref": "stavinsky/first-attempt", "kernel_id": "165859"}, {"ref": "mattf93/notebook7ad0a20170", "kernel_id": "209780"}, {"ref": "gk1411/houseprice", "kernel_id": "102243"}, {"ref": "gk1411/notebook85e6416dd6", "kernel_id": "102515"}, {"ref": "gk1411/notebook50a7f8fb78", "kernel_id": "102474"}, {"ref": "korirsammy/predicting-house-prices-1", "kernel_id": "180938"}, {"ref": "ambreen/predicting-house-price-sales", "kernel_id": "133978"}, {"ref": "bluetooth/bumblebee-temp", "kernel_id": "102480"}, {"ref": "mt1022/a-naive-simple-linear-regression-with-lasso", "kernel_id": "967854"}, {"ref": "mrthoreau/xgboost-ridge-lasso", "kernel_id": "102576"}, {"ref": "aeflodmark/xgboost-ridge-lasso", "kernel_id": "118722"}, {"ref": "geetarawat/notebookdd6d74d560", "kernel_id": "103886"}, {"ref": "geetarawat/notebookd1b98314aa", "kernel_id": "102972"}, {"ref": "geetarawat/attempt2-basic-code", "kernel_id": "102984"}, {"ref": "zijinwang/regularized-linear-models", "kernel_id": "166513"}, {"ref": "deepu123/housing-prices", "kernel_id": "339855"}, {"ref": "pavanvavilapalli/house-prices-prediction", "kernel_id": "239765"}, {"ref": "dustinstuart/data-exploration", "kernel_id": "212328"}, {"ref": "dustinstuart/linear-regression", "kernel_id": "243032"}, {"ref": "yingmango/notebookbe59a8b95d", "kernel_id": "112393"}, {"ref": "kiba96/linear-regression-b26348d3", "kernel_id": "175199"}, {"ref": "kiba96/linear-regression", "kernel_id": "175036"}, {"ref": "aceccon/house-price-prediction", "kernel_id": "113428"}, {"ref": "yangzixu/notebookee1e195ec9", "kernel_id": "165088"}, {"ref": "changingivan/notebookadf229acf3", "kernel_id": "277870"}, {"ref": "aarsht/replacing-na-s-by-indicator-variables", "kernel_id": "154056"}, {"ref": "juwon1992/lasso-model-for-regression-problem", "kernel_id": "112885"}, {"ref": "donaldspear/notebook0e764daa4a", "kernel_id": "140977"}, {"ref": "pranav84/how-to-install-r-packages-like-a-pro-in-3-seconds", "kernel_id": "217816"}, {"ref": "chubing/notebook1ef99bfc90", "kernel_id": "173670"}, {"ref": "chubing/eda-and-missing-data-imputation", "kernel_id": "173601"}, {"ref": "hngjkc/notebookf8076c2f32", "kernel_id": "104772"}, {"ref": "tkaworkflow/scikit-learn-pipelines-and-pandas", "kernel_id": "111424"}, {"ref": "zfrysrylmz/regularized-linear-models-f410000e", "kernel_id": "160323"}, {"ref": "zfrysrylmz/regularized-linear-models-335dc1f5", "kernel_id": "161063"}, {"ref": "dujiajun/notebook263a38e905", "kernel_id": "230241"}, {"ref": "dujiajun/notebookbc3c53c4c7", "kernel_id": "230254"}, {"ref": "grigrieyehaha/regularized-linear-models", "kernel_id": "122363"}, {"ref": "deanda/notebook2db6142d8f", "kernel_id": "189103"}, {"ref": "deanda/fork-of-notebookb31497db50", "kernel_id": "190337"}, {"ref": "hugheser/lasso-model-for-regression-problem", "kernel_id": "118991"}, {"ref": "vishalvikram1992/regularized-linear-models-f9bd36fb", "kernel_id": "138684"}, {"ref": "vishalvikram1992/regularized-linear-models-0e6e9b57", "kernel_id": "115793"}, {"ref": "lakshmi91/notebook49feb5808e", "kernel_id": "124024"}, {"ref": "toobaah/notebookf668d42246", "kernel_id": "123857"}, {"ref": "tukichen/sale-price-xgboost", "kernel_id": "187678"}, {"ref": "tukichen/predict-sales-r", "kernel_id": "181497"}, {"ref": "tukichen/notebook3289893667", "kernel_id": "181516"}, {"ref": "smurer/notebook9f043dd861", "kernel_id": "115049"}, {"ref": "stanleyxia/notebook4869709f1e", "kernel_id": "147840"}, {"ref": "celiahan/randomforestregressor", "kernel_id": "113942"}, {"ref": "lzhang06/using-xgboost-for-feature-selection", "kernel_id": "131689"}, {"ref": "saurabhkumar04/regularized-linear-models", "kernel_id": "118748"}, {"ref": "ngocnguyen/lasso-model-for-regression-problem", "kernel_id": "114767"}, {"ref": "misssharp/notebook363d33e672", "kernel_id": "116299"}, {"ref": "arpitchaudhary/house-prices-caret-glm", "kernel_id": "299501"}, {"ref": "arpitchaudhary/house-prices-simple-lm", "kernel_id": "277630"}, {"ref": "lixinshi/house-prices-gbm-in-r", "kernel_id": "105504"}, {"ref": "lixinshi/regularized-linear-models", "kernel_id": "105556"}, {"ref": "lixinshi/detailed-exploratory-data-analysis-in-r", "kernel_id": "105662"}, {"ref": "lixinshi/updated-xgboost-with-parameter-tuning", "kernel_id": "105910"}, {"ref": "lixinshi/notebook0f533673ad", "kernel_id": "106230"}, {"ref": "duanhb/regularized-linear-models-a355f7c5", "kernel_id": "136770"}, {"ref": "sonjju/house-price-predict-score-0-14205-by-elasticnet", "kernel_id": "298008"}, {"ref": "danyalsoomro/dm-forkbatradanny", "kernel_id": "127939"}, {"ref": "nikhil8692/house-prices-code", "kernel_id": "159152"}, {"ref": "ainampudiraviteja/housing", "kernel_id": "274083"}, {"ref": "cdabel/notebookaa1ec5e719", "kernel_id": "116438"}, {"ref": "jli259/notebook3a6406eefb", "kernel_id": "106390"}, {"ref": "garvitkhamesra/handling-missing-values", "kernel_id": "808027"}, {"ref": "garvitkhamesra/starting-your-ml-project-2f08e3", "kernel_id": "790973"}, {"ref": "ostrowski/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "116875"}, {"ref": "enterpr02/detailed-data-exploration-in-python", "kernel_id": "107110"}, {"ref": "enterpr02/detailed-data-exploration-in-python-4e547fcd", "kernel_id": "107848"}, {"ref": "mazhiy/notebook53d4ebe79d", "kernel_id": "217091"}, {"ref": "lenamkhanh/iowa-housing-data-part-i", "kernel_id": "712846"}, {"ref": "lenamkhanh/iowa-housing-data-part-ii", "kernel_id": "718099"}, {"ref": "asifnawaz/regularized-linear-models", "kernel_id": "138068"}, {"ref": "saitama1/xgboost-ridge-lasso", "kernel_id": "129022"}, {"ref": "saitama1/dman2016", "kernel_id": "129101"}, {"ref": "obiwang/stacking-starter", "kernel_id": "229249"}, {"ref": "fguitart/notebook98c7e386fc", "kernel_id": "232739"}, {"ref": "xiaohuihuang/notebook2a18e783c9", "kernel_id": "136459"}, {"ref": "xiaohuihuang/house-prices-advanced-regression-techniques", "kernel_id": "136488"}, {"ref": "dlemmett/regularized-linear-models", "kernel_id": "115398"}, {"ref": "yuanweiliufu/notebook58ba407f10", "kernel_id": "267363"}, {"ref": "fabricio2111/regularized-linear-models", "kernel_id": "108653"}, {"ref": "pchen2890/regularized-linear-models", "kernel_id": "152984"}, {"ref": "lalotto/notebook38cf6decef", "kernel_id": "219966"}, {"ref": "kristofersoderstrom/exploring-regression-sequential-model-mlp", "kernel_id": "809680"}, {"ref": "wenyi1992/stacking-starter", "kernel_id": "224883"}, {"ref": "asheshexp/notebook3f2679cfec", "kernel_id": "127545"}, {"ref": "lizhaoning/model-validation", "kernel_id": "561608"}, {"ref": "kentoniikura/regularized-linear-models", "kernel_id": "141159"}, {"ref": "kentoniikura/notebook1bec3bf34e", "kernel_id": "161578"}, {"ref": "seanzhu/houseprice-v1", "kernel_id": "230745"}, {"ref": "antass/notebook3391af07e7", "kernel_id": "111125"}, {"ref": "aduraoye/detailed-data-exploration-angela-s-script-in-r", "kernel_id": "168600"}, {"ref": "chinoyravi/notebook28099a843d", "kernel_id": "109435"}, {"ref": "nurislam/script-v6", "kernel_id": "176444"}, {"ref": "nick2logan/my-first-machine-learning-model", "kernel_id": "776918"}, {"ref": "mylive0203/plotting-all-data", "kernel_id": "143460"}, {"ref": "triangle1225/regularized-linear-models-366555e7", "kernel_id": "120487"}, {"ref": "triangle1225/notebook19a046ff95", "kernel_id": "119728"}, {"ref": "triangle1225/regularized-linear-models", "kernel_id": "119745"}, {"ref": "lb2016/regularized-linear-models", "kernel_id": "141059"}, {"ref": "lb2016/detailed-data-exploration-in-python", "kernel_id": "141046"}, {"ref": "akabalan/housepricekernel", "kernel_id": "109369"}, {"ref": "akabalan/notebookf283dade11", "kernel_id": "109370"}, {"ref": "paulsp/testnotebook", "kernel_id": "222223"}, {"ref": "vilmorin/notebookd52edb480d", "kernel_id": "108180"}, {"ref": "thirdperson/regularized-linear-models", "kernel_id": "108188"}, {"ref": "heyanggong/notebook530610b868", "kernel_id": "200041"}, {"ref": "heyanggong/home-sales-data", "kernel_id": "117126"}, {"ref": "sarvesh2296/notebookcd2be73f01", "kernel_id": "184536"}, {"ref": "xiongzihua/house-price", "kernel_id": "248382"}, {"ref": "xiongzihua/house-price-for", "kernel_id": "266438"}, {"ref": "francescodesimone/linear-regression-prediction", "kernel_id": "138572"}, {"ref": "tanyaisawesome/regularized-linear-models-6c42cd70", "kernel_id": "112118"}, {"ref": "tanyaisawesome/regularized-linear-models-068b2b4e", "kernel_id": "112830"}, {"ref": "tanyaisawesome/regularized-linear-models", "kernel_id": "110510"}, {"ref": "tanyaisawesome/regularized-linear-models-7d3a1bbb", "kernel_id": "110553"}, {"ref": "xinyitu00/notebookc8549f49c8", "kernel_id": "111147"}, {"ref": "dennise/learning-ml-algorithms-on-this-dataset", "kernel_id": "571039"}, {"ref": "rohitagarwal/notebook34cd9f13ee", "kernel_id": "136560"}, {"ref": "rohitagarwal/notebook8bd7636ce1", "kernel_id": "136561"}, {"ref": "rohitagarwal/rohit-submission-1", "kernel_id": "136562"}, {"ref": "nicthechicken/notebook9709b2aeb6", "kernel_id": "269006"}, {"ref": "yangxiaocs/pca-and-regression", "kernel_id": "202302"}, {"ref": "yangxiaocs/regularized-linear-models-e69213", "kernel_id": "202252"}, {"ref": "davidprakash/xgboost", "kernel_id": "200512"}, {"ref": "pboitel/notebooke9b14eaaf1", "kernel_id": "112584"}, {"ref": "lulutoulouse/feature-selection-for-house-prices", "kernel_id": "151050"}, {"ref": "zhongjjjjk/notebook5a1232c4a0", "kernel_id": "109430"}, {"ref": "shoubusi/regularized-linear-models-0f62e537", "kernel_id": "117014"}, {"ref": "karthik006/regularized-linear-models", "kernel_id": "133442"}, {"ref": "karthik006/regularized-linear-models-16364d50", "kernel_id": "133443"}, {"ref": "karthik006/regularized-linear-models-8488f13f", "kernel_id": "136499"}, {"ref": "aaagrekar/my-first-machine-learning-model", "kernel_id": "752663"}, {"ref": "jainshivani/my-first-machine-learning-model", "kernel_id": "837429"}, {"ref": "halalosiram/xgboost-demo", "kernel_id": "985988"}, {"ref": "vigneshjothiselvaraj/preparing-data-for-prediction", "kernel_id": "203690"}, {"ref": "vigneshjothiselvaraj/fork-of-fork-of-fork-of-preparing-data-for-predict", "kernel_id": "210040"}, {"ref": "vigneshjothiselvaraj/fork-of-preparing-data-for-prediction-5fe0d7", "kernel_id": "208345"}, {"ref": "vigneshjothiselvaraj/pca-modeling-and-prediction", "kernel_id": "212564"}, {"ref": "vigneshjothiselvaraj/fork-of-missing-data-imputation-and-preparing-data", "kernel_id": "212793"}, {"ref": "vigneshjothiselvaraj/fork-of-fork-of-variable-clust-and-predicti-28d12d", "kernel_id": "217252"}, {"ref": "vigneshjothiselvaraj/fork-of-variable-clust-and-prediction-96f14e", "kernel_id": "217034"}, {"ref": "vigneshjothiselvaraj/glm-and-svm", "kernel_id": "217124"}, {"ref": "vigneshjothiselvaraj/fork-of-variable-clust-and-prediction", "kernel_id": "216960"}, {"ref": "vigneshjothiselvaraj/variable-clust-and-prediction", "kernel_id": "214967"}, {"ref": "no10n1/regularized-linear-models", "kernel_id": "143412"}, {"ref": "hitn0e1/qwqqwqqwq", "kernel_id": "139712"}, {"ref": "hitn0e1/qwqqwq", "kernel_id": "139026"}, {"ref": "vignesh2323/test-sample", "kernel_id": "111351"}, {"ref": "vignesh2323/plotting-all-data", "kernel_id": "114410"}, {"ref": "pubudur/regularized-linear-models", "kernel_id": "182928"}, {"ref": "nursultan/regularized-linear-models", "kernel_id": "182470"}, {"ref": "mayanksrivastava/predicting-price-of-houses", "kernel_id": "318091"}, {"ref": "docktorrr/exploring-features-and-regression-models", "kernel_id": "154075"}, {"ref": "yungparse/housing-sales-analysis", "kernel_id": "162823"}, {"ref": "murgev/regularized-linear-models-793c1925", "kernel_id": "144782"}, {"ref": "murgev/detailed-data-exploration-in-python-3e8c03eb", "kernel_id": "144783"}, {"ref": "murgev/regularized-linear-models-566d06", "kernel_id": "191254"}, {"ref": "murgev/randomforestregressor", "kernel_id": "135050"}, {"ref": "murgev/regularized-linear-models", "kernel_id": "134975"}, {"ref": "murgev/lasso-model-for-regression-problem", "kernel_id": "134986"}, {"ref": "murgev/detailed-data-exploration-in-python", "kernel_id": "134991"}, {"ref": "osprey2k/house-price-prediction", "kernel_id": "433571"}, {"ref": "dnaylor/notebook04930eb435", "kernel_id": "164373"}, {"ref": "reboundxu/randomforestregressor", "kernel_id": "114344"}, {"ref": "dumplingli/notebook186ffb754f", "kernel_id": "142943"}, {"ref": "dumplingli/notebook2af0bce6fc", "kernel_id": "144366"}, {"ref": "panpolikarp/housing-submission-0-12695", "kernel_id": "888176"}, {"ref": "smr4849/smr4849-house-prices-and-lasso-regression", "kernel_id": "259750"}, {"ref": "lsabetti/regularized-linear-models", "kernel_id": "116783"}, {"ref": "tannercarbonati/detailed-data-analysis-ensemble-modeling", "kernel_id": "228964"}, {"ref": "msamitahir/notebook128bd6e544", "kernel_id": "116362"}, {"ref": "star4yar/test-32-1", "kernel_id": "246405"}, {"ref": "xianfengma/notebook55895a203b", "kernel_id": "115413"}, {"ref": "xianfengma/regularized-linear-models-d5ab1352", "kernel_id": "142595"}, {"ref": "oukaishen/regularized-linear-models", "kernel_id": "113660"}, {"ref": "scutwzm/my-first-machine-learning-model-level2", "kernel_id": "719119"}, {"ref": "oliveryh/notebook090ca57601", "kernel_id": "116669"}, {"ref": "mwitebsky/notebook7d073939a3", "kernel_id": "155722"}, {"ref": "dcohron/comprehensive-data-exploration-with-python", "kernel_id": "196498"}, {"ref": "leonyin/notebook182e67ce1d", "kernel_id": "121418"}, {"ref": "kvantakala/notebooka22753b39a", "kernel_id": "111912"}, {"ref": "stochastichic/handling-datatypes-missing-values", "kernel_id": "227608"}, {"ref": "stochastichic/missing-value-imputation-handling-data-types", "kernel_id": "227605"}, {"ref": "huang41/notebook83aad11868", "kernel_id": "114345"}, {"ref": "caicell/fun-python-eda-step-by-step", "kernel_id": "539600"}, {"ref": "caicell/statistical-modeling-imputation-outliers", "kernel_id": "503773"}, {"ref": "nickydebeer/practice-predicting-house-prices", "kernel_id": "228165"}, {"ref": "kanishkapsingh2/notebook9fa0b855cb", "kernel_id": "242652"}, {"ref": "kanishkapsingh2/notebookcff5c6e306", "kernel_id": "112237"}, {"ref": "m3zhuang/regularized-linear-models", "kernel_id": "150195"}, {"ref": "carldotz/regularized-linear-models", "kernel_id": "144959"}, {"ref": "qiruiliu/regularized-linear-models", "kernel_id": "161909"}, {"ref": "wonhee/notebooka0f06a3e21", "kernel_id": "113532"}, {"ref": "sinhashubhra009/my-first-machine-learning-model", "kernel_id": "884806"}, {"ref": "dkolari/notebook99e79baee9", "kernel_id": "136780"}, {"ref": "dkolari/notebook5c82910a33", "kernel_id": "136298"}, {"ref": "advdatasci/predicting-housing-prices-regularized-regression", "kernel_id": "174720"}, {"ref": "teddymeunier/notebook3322e3e62a", "kernel_id": "124844"}, {"ref": "essssspee/notebookaa823ab946", "kernel_id": "231805"}, {"ref": "zzdu2013/regularized-linear-models", "kernel_id": "119115"}, {"ref": "lord950101/asssss", "kernel_id": "112781"}, {"ref": "areong/notebooka085e9c538", "kernel_id": "122552"}, {"ref": "romaing92/test1", "kernel_id": "115292"}, {"ref": "eijaleena/regularized-linear-models", "kernel_id": "112907"}, {"ref": "nelsonzhao/filling-up-missing-values", "kernel_id": "262029"}, {"ref": "randal3465/regularized-linear-models", "kernel_id": "142220"}, {"ref": "mass2016/notebookf75b2e42b7", "kernel_id": "113089"}, {"ref": "mass2016/notebook1a7259943f", "kernel_id": "114095"}, {"ref": "kanalasumant/notebook03a19a5151", "kernel_id": "217920"}, {"ref": "sshahriari/lassocv-regularized-and-random-forest-regression", "kernel_id": "276404"}, {"ref": "sshahriari/data-cleaning-exploration-regularized-regression", "kernel_id": "197793"}, {"ref": "sshahriari/notebookef7cc8854f", "kernel_id": "190382"}, {"ref": "sshahriari/notebook16e8dedf23", "kernel_id": "190384"}, {"ref": "sshahriari/data-cleaning-exploration-regularized-regres", "kernel_id": "190386"}, {"ref": "sshahriari/regularized-linear-models-ss", "kernel_id": "138849"}, {"ref": "sshahriari/regularized-linear-models-526efe41", "kernel_id": "138852"}, {"ref": "sshahriari/regularized-linear-models", "kernel_id": "138842"}, {"ref": "sshahriari/detailed-data-exploration-in-python", "kernel_id": "163943"}, {"ref": "sshahriari/regularized-linear-models-8d51a788", "kernel_id": "163941"}, {"ref": "spark007/regularized-linear-models", "kernel_id": "121015"}, {"ref": "darguelles/reducing-neighborhood-dimensionality", "kernel_id": "130350"}, {"ref": "darguelles/notebookb0138d2c4e", "kernel_id": "123832"}, {"ref": "jiaojiaoloveu/notebook1008b53d28", "kernel_id": "114692"}, {"ref": "awfrke/detailed-data-exploration-angela-s-script-in-r", "kernel_id": "163229"}, {"ref": "geider1687/notebook92dba5d7a9", "kernel_id": "116908"}, {"ref": "vynguyen/detailed-exploratory-data-analysis-using-r", "kernel_id": "167142"}, {"ref": "princewang1994/notebook44688d615f", "kernel_id": "151541"}, {"ref": "princewang1994/you-got-this-feature-engineering-and-lasso", "kernel_id": "148009"}, {"ref": "princewang1994/regularized-linear-models-ab566534", "kernel_id": "148239"}, {"ref": "princewang1994/notebook438698b19b", "kernel_id": "146543"}, {"ref": "hadiatmajaya/notebookc379e875cc", "kernel_id": "153915"}, {"ref": "cimynfine/randomforestregressor", "kernel_id": "157927"}, {"ref": "yzhangk/regularized-linear-models", "kernel_id": "113887"}, {"ref": "chengweigu/regularized-linear-models", "kernel_id": "113931"}, {"ref": "aliiihk/notebook2aa4209fc2", "kernel_id": "114244"}, {"ref": "cdaa16javiertoja/notebook5ebfe60b49", "kernel_id": "151742"}, {"ref": "gaiwang1987/house-prices-data-exploration-and-visualisation", "kernel_id": "190703"}, {"ref": "mfedorc2/regularized-linear-models", "kernel_id": "130544"}, {"ref": "bkloenn1/notebook91ecae5222", "kernel_id": "129673"}, {"ref": "bkloenn1/notebook16fdd1e5a6", "kernel_id": "131867"}, {"ref": "wrli41/regularized-linear-models", "kernel_id": "132620"}, {"ref": "mosa94/linear-regression-implementations", "kernel_id": "645473"}, {"ref": "blanco123/notebookcb7c9576d6", "kernel_id": "312261"}, {"ref": "jianguangg/xgboost-lasso-copied", "kernel_id": "157225"}, {"ref": "jianguangg/notebookff1afb78bf", "kernel_id": "154673"}, {"ref": "gwynny/randomforestregressor", "kernel_id": "117932"}, {"ref": "spandan28/notebookb4410b621a", "kernel_id": "271982"}, {"ref": "cheerion/xgboost-mice-implementation-in-r", "kernel_id": "140687"}, {"ref": "bogdanbmdg/trial-1-py", "kernel_id": "114932"}, {"ref": "tdiliii/regularized-linear-models", "kernel_id": "197061"}, {"ref": "tdiliii/notebook1561210cd3", "kernel_id": "196488"}, {"ref": "tdiliii/notebook414fe9ce40", "kernel_id": "195715"}, {"ref": "raphkas/notebook03b1af2882", "kernel_id": "118779"}, {"ref": "raphkas/houseprice", "kernel_id": "118780"}, {"ref": "raphkas/housepric", "kernel_id": "118784"}, {"ref": "pankajkarki/predicting-house-prices", "kernel_id": "709889"}, {"ref": "kacky24/stacking-starter", "kernel_id": "223484"}, {"ref": "rtejada3/notebooka4eb60ecb6", "kernel_id": "132345"}, {"ref": "ikha27/housing-price", "kernel_id": "169574"}, {"ref": "rtaubes/xgboost-lasso-ridge-adaboost", "kernel_id": "322345"}, {"ref": "k777777/notebook3ba5b36af2", "kernel_id": "143330"}, {"ref": "hengwu/notebook4bcc06d244", "kernel_id": "119159"}, {"ref": "andyha/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "131825"}, {"ref": "andreistirb/random-forests-model", "kernel_id": "570605"}, {"ref": "actuarius/tesef", "kernel_id": "115792"}, {"ref": "gmayank32/ameshousing-filling-missing-values", "kernel_id": "217308"}, {"ref": "nubatama/notebook5478e9e283", "kernel_id": "134238"}, {"ref": "nubatama/house-prices-prediction-my-first-regression", "kernel_id": "134000"}, {"ref": "nubatama/compare-regressors-by-default-settings", "kernel_id": "139540"}, {"ref": "jakejake1/notebook22759b7017", "kernel_id": "195477"}, {"ref": "darrellulm/regularized-linear-models-test-run", "kernel_id": "242456"}, {"ref": "miyung/notebook832ee8c006", "kernel_id": "162762"}, {"ref": "akruger/notebookf1353bd030", "kernel_id": "214884"}, {"ref": "gshevchuk/house-prices-exploration-work", "kernel_id": "193567"}, {"ref": "gshevchuk/exploration-v1", "kernel_id": "159540"}, {"ref": "data16scientist/notebook810fb54bf5", "kernel_id": "210545"}, {"ref": "data16scientist/notebookfea6add1e2", "kernel_id": "210558"}, {"ref": "rajsiddarth119/house-price-regression-using-stacked-ensembles", "kernel_id": "582438"}, {"ref": "tchiappisi/housing-prices-prediction-with-scikit-learn", "kernel_id": "156771"}, {"ref": "mmvalado/my-first-machine-learning-model", "kernel_id": "693908"}, {"ref": "lk1ngaa7/lk1ngaa7-linerregression", "kernel_id": "277782"}, {"ref": "lk1ngaa7/lk1ngaa7-notebook", "kernel_id": "260522"}, {"ref": "mariopv82/notebook3054d827af", "kernel_id": "116686"}, {"ref": "vadimkuzmin/notebook01c83a1f04", "kernel_id": "139127"}, {"ref": "vadimkuzmin/notebook36584945cf", "kernel_id": "139132"}, {"ref": "vadimkuzmin/notebook7a95b372c2", "kernel_id": "139116"}, {"ref": "vadimkuzmin/initial", "kernel_id": "139117"}, {"ref": "meenakshir/filling-up-missing-values", "kernel_id": "194344"}, {"ref": "ogagauzoh/notebook3b8cd1b798", "kernel_id": "129711"}, {"ref": "chendan08/detailed-data-exploration-in-python", "kernel_id": "134032"}, {"ref": "chendan08/notebook4fcd3d429e", "kernel_id": "133948"}, {"ref": "flyingpi/notebook54e3249e6f", "kernel_id": "150372"}, {"ref": "justinians/housing-price", "kernel_id": "753781"}, {"ref": "ulzhanai/notebook7f719e93bd", "kernel_id": "172534"}, {"ref": "ulzhanai/notebook259dfe1490", "kernel_id": "172503"}, {"ref": "ulzhanai/notebookeb2c342ffa", "kernel_id": "181697"}, {"ref": "ulzhanai/notebook838fb3e2e2", "kernel_id": "181743"}, {"ref": "ulzhanai/regularized-linear-models", "kernel_id": "187464"}, {"ref": "fluffygravy/regularized-linear-models", "kernel_id": "147235"}, {"ref": "fluffygravy/descriptive-statistics-for-housing-prices", "kernel_id": "146712"}, {"ref": "fluffygravy/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "146700"}, {"ref": "fluffygravy/notebookcf3aa25361", "kernel_id": "123726"}, {"ref": "tjbaur/house-sale-prices", "kernel_id": "239882"}, {"ref": "kateas/regularized-linear-models", "kernel_id": "242157"}, {"ref": "sowbarani/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "232464"}, {"ref": "tfpauley/regularized-linear-models", "kernel_id": "178121"}, {"ref": "cscott33/randomforestregressor", "kernel_id": "117927"}, {"ref": "catherinehata/notebookd6853e4374", "kernel_id": "224300"}, {"ref": "catherinehata/notebook4c27efbadf", "kernel_id": "224314"}, {"ref": "gihanu/basic-random-forest-model", "kernel_id": "398408"}, {"ref": "gihanu/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "273527"}, {"ref": "gihanu/a-study-on-regression-applied-to-the-ames-d-3a7fcd", "kernel_id": "273528"}, {"ref": "fredaugermorin/notebook0abf0f1f36", "kernel_id": "124364"}, {"ref": "yangsheng327/shengy-v1", "kernel_id": "118050"}, {"ref": "jingzheng/notebook9a6cfcaea9", "kernel_id": "118055"}, {"ref": "shedayati/notebookc6f02e5912", "kernel_id": "117965"}, {"ref": "shedayati/notebook9039d4f3da", "kernel_id": "157273"}, {"ref": "mkabariy/notebookcffda0d1c2", "kernel_id": "165467"}, {"ref": "mkabariy/notebookb75c8e9e08", "kernel_id": "165473"}, {"ref": "mkabariy/notebookfd172241bf", "kernel_id": "165476"}, {"ref": "fatcoder/notebookbae2887fff", "kernel_id": "247461"}, {"ref": "riguang/testscript1", "kernel_id": "119230"}, {"ref": "riguang/notebook05cf4342b6", "kernel_id": "119243"}, {"ref": "riguang/lasso-model-for-regression-problem", "kernel_id": "120142"}, {"ref": "riguang/regularized-linear-models-0720a356", "kernel_id": "120417"}, {"ref": "cdaa16miriamfdez/notebook39498d176c", "kernel_id": "128512"}, {"ref": "metasix/mt-test", "kernel_id": "244383"}, {"ref": "harmuth/notebook5c188f0f62", "kernel_id": "212398"}, {"ref": "cwd251/notebooka25635ec9f", "kernel_id": "189706"}, {"ref": "cwd251/linear-models-for-house-pricing", "kernel_id": "189708"}, {"ref": "cwd251/regularized-linear-models", "kernel_id": "189714"}, {"ref": "chenwanqq/notebookbfcc3e69a6", "kernel_id": "148889"}, {"ref": "vaserdak/notebook534dbe5a3f", "kernel_id": "118583"}, {"ref": "ghands/try-one", "kernel_id": "118692"}, {"ref": "jeremysung/handling-missing-values", "kernel_id": "790428"}, {"ref": "rohitbokade94/ames-iowa-housing-price-prediction", "kernel_id": "335672"}, {"ref": "yuan55jia/regularized-linear-models", "kernel_id": "175021"}, {"ref": "yuan55jia/lasso-model-for-regression-problem", "kernel_id": "187021"}, {"ref": "yange1/lasso-model-for-regression-problem", "kernel_id": "143390"}, {"ref": "yange1/lasso-model-for-regression-problem-212839f0", "kernel_id": "148663"}, {"ref": "arun25/prediction-of-house-prices-3-methods", "kernel_id": "183774"}, {"ref": "dhinckley/fork-of-initial-data-exploration", "kernel_id": "119954"}, {"ref": "kvasagiri/notebook5a2c1bc0b5", "kernel_id": "205659"}, {"ref": "kvasagiri/myfirst1", "kernel_id": "205672"}, {"ref": "abahl88/house-prices-data-exploration-modeling", "kernel_id": "285188"}, {"ref": "nikhilesh87/easy-feature-selection-for-beginners-in-r", "kernel_id": "713206"}, {"ref": "morrisb/evolutionary-algorithms-for-optimisation", "kernel_id": "448622"}, {"ref": "foxuser/notebookc9138f9ea2", "kernel_id": "183306"}, {"ref": "lw6981/notebook02d86e1c71", "kernel_id": "125570"}, {"ref": "mikedplace/just-getting-started", "kernel_id": "226977"}, {"ref": "mikedplace/notebookff79e56fa9", "kernel_id": "226971"}, {"ref": "seungjooli/notebook7ca2a846bf", "kernel_id": "190706"}, {"ref": "raphael92/notebook8356b4a012", "kernel_id": "177241"}, {"ref": "kumarnith03/detailed-data-exploration-in-python", "kernel_id": "168420"}, {"ref": "ananya45/my-first-machine-learning-model", "kernel_id": "898222"}, {"ref": "ananya45/using-categorical-data-with-one-hot-encoding", "kernel_id": "900084"}, {"ref": "ananya45/learning-to-use-xgboost", "kernel_id": "900392"}, {"ref": "twenty2ight/notebook1bcb7d8b99", "kernel_id": "128178"}, {"ref": "parthgarg30/regression-for-house-prices-prediction", "kernel_id": "325947"}, {"ref": "keewang/notebookc6574a8461", "kernel_id": "120202"}, {"ref": "kingcl777/notebook4f1f60890c", "kernel_id": "129960"}, {"ref": "dangermc/regressive-home-work", "kernel_id": "763886"}, {"ref": "roblucas/detailed-exploratory-data-analysis-using-r", "kernel_id": "236978"}, {"ref": "debabrot/fork-of-prediction-using-linear-regression", "kernel_id": "781546"}, {"ref": "fveronesi/test-fabio", "kernel_id": "120752"}, {"ref": "thammasorn/explore-data", "kernel_id": "182593"}, {"ref": "shadoe/notebook29e2c583c9", "kernel_id": "122418"}, {"ref": "shadoe/house-price-predict", "kernel_id": "122391"}, {"ref": "shadoe/notebookf6f67cc175", "kernel_id": "122893"}, {"ref": "pecooper/naive-submission-based-on-mean", "kernel_id": "229611"}, {"ref": "pecooper/r-starter-code-0-13550", "kernel_id": "373434"}, {"ref": "obbkaggle/regularized-linear-models", "kernel_id": "182526"}, {"ref": "jssnow/regularized-linear-models", "kernel_id": "120935"}, {"ref": "dheerajgopi/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "151567"}, {"ref": "txfhtyz/detailed-data-exploration-in-python", "kernel_id": "121689"}, {"ref": "daguaishou/ensemble-model-stacked-model-example1", "kernel_id": "123495"}, {"ref": "jmancini/notebookd98949c1ce", "kernel_id": "135109"}, {"ref": "ylincen/linear-model", "kernel_id": "121620"}, {"ref": "zhoubozhou/test1", "kernel_id": "121829"}, {"ref": "marvenbr/notebook56de9ba355", "kernel_id": "167542"}, {"ref": "sparkfour/test-1", "kernel_id": "121907"}, {"ref": "neopy1/linear-models", "kernel_id": "189616"}, {"ref": "neopy1/reducing-dimensionality", "kernel_id": "192835"}, {"ref": "neopy1/notebook316e543335", "kernel_id": "192630"}, {"ref": "bobshawn/comprehensive-data-exploration-with-python", "kernel_id": "233763"}, {"ref": "weizizeng/house-price", "kernel_id": "122449"}, {"ref": "weizizeng/regularized-linear-models", "kernel_id": "122334"}, {"ref": "arkels/blend-linear-regressors", "kernel_id": "132788"}, {"ref": "arkels/randomforestregressor-5f0d379e", "kernel_id": "132877"}, {"ref": "arkels/xgboost-lasso45", "kernel_id": "129397"}, {"ref": "arkels/xgboost-lasso4565", "kernel_id": "129713"}, {"ref": "arkels/xgboost-lasso66554", "kernel_id": "129754"}, {"ref": "arkels/xgboost-lasso625", "kernel_id": "129750"}, {"ref": "arkels/fun-with-real-estate-data33", "kernel_id": "130261"}, {"ref": "arkels/randomforestregressor-6f35059c", "kernel_id": "130414"}, {"ref": "arkels/randomforestregressor-e18a8970", "kernel_id": "130416"}, {"ref": "arkels/lasso-model-for-regression-problem-5572a492", "kernel_id": "126711"}, {"ref": "arkels/lasso-model-for-regression-problem-8cbbf319", "kernel_id": "126718"}, {"ref": "arkels/lasso-model-for-regression-problem-135265f7", "kernel_id": "126685"}, {"ref": "arkels/lasso-model-for-regression-problem-71cafdab", "kernel_id": "126692"}, {"ref": "arkels/xgboost-lasso1", "kernel_id": "126743"}, {"ref": "arkels/xgboost-lasso11", "kernel_id": "126762"}, {"ref": "arkels/lasso-model-for-regression-problem", "kernel_id": "125295"}, {"ref": "superzhang/notebookb5a94fa68c", "kernel_id": "146686"}, {"ref": "pgorni/ames-house-predictions", "kernel_id": "143039"}, {"ref": "romina72/notebook8f622ce8a2", "kernel_id": "250055"}, {"ref": "marsggbo/kaggle", "kernel_id": "323594"}, {"ref": "xiaoyao70v/notebook40dbe8b039", "kernel_id": "132638"}, {"ref": "kimvai/notebook20264daa51", "kernel_id": "122500"}, {"ref": "opiateman/simple-regressions-for-housing-price-prediction", "kernel_id": "151605"}, {"ref": "rjonathanb/notebook207f1d283d", "kernel_id": "173652"}, {"ref": "rjonathanb/detailed-data-exploration-in-python", "kernel_id": "174924"}, {"ref": "rjonathanb/house-prices-explore-features-and-xgboost", "kernel_id": "175175"}, {"ref": "vinayguda/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "123557"}, {"ref": "tsegaye/my-first-machine-learning-model", "kernel_id": "843582"}, {"ref": "ajchan/notebook8d420627b1", "kernel_id": "122861"}, {"ref": "ataniazov/notebook595de36cc4", "kernel_id": "123096"}, {"ref": "cdaa16raulperibanez/data-preparation-and-svm-regression", "kernel_id": "129692"}, {"ref": "quark6/housing-price", "kernel_id": "155919"}, {"ref": "mattniccolls/mln-title-notebook", "kernel_id": "189953"}, {"ref": "mattniccolls/practicing-with-kaggle", "kernel_id": "189975"}, {"ref": "liyi1991/housepricepredict", "kernel_id": "226449"}, {"ref": "nien14/notebook0eb458c68c", "kernel_id": "123814"}, {"ref": "nien14/test-1", "kernel_id": "123742"}, {"ref": "lovive/notebook139cdf85b8", "kernel_id": "123288"}, {"ref": "noutvd/notebook66fe502d2c", "kernel_id": "123293"}, {"ref": "nohitwonder/filling-in-the-missing-lotfrontage-values", "kernel_id": "159010"}, {"ref": "xanthate/housing-price", "kernel_id": "554846"}, {"ref": "larui529/notebook66e27753a2", "kernel_id": "426081"}, {"ref": "misty2913/notebook5fe8fe3a93", "kernel_id": "130795"}, {"ref": "chemseddine/notebook40aa9b878a", "kernel_id": "221986"}, {"ref": "chemseddine/notebookaa59c774a2", "kernel_id": "221987"}, {"ref": "allenchien/notebook077ec27cd1", "kernel_id": "123994"}, {"ref": "alim93/notebookfd5ecf4e69", "kernel_id": "142206"}, {"ref": "alim93/notebook3418b1c463", "kernel_id": "142169"}, {"ref": "creativeforce/testing", "kernel_id": "129408"}, {"ref": "creativeforce/regularized-linear-models", "kernel_id": "133677"}, {"ref": "dididh/regularized-linear-models", "kernel_id": "129410"}, {"ref": "dididh/notebook678330e18f", "kernel_id": "129411"}, {"ref": "dididh/notebookf03abb780f", "kernel_id": "129412"}, {"ref": "dididh/notebook7e1279fa85", "kernel_id": "129413"}, {"ref": "minyicheng/notebook7db82b2854", "kernel_id": "123740"}, {"ref": "minyicheng/notebook0aaa39dae2", "kernel_id": "123752"}, {"ref": "koenvos/notebook07a62cb3b9", "kernel_id": "123761"}, {"ref": "koenvos/notebookf05804b086", "kernel_id": "123762"}, {"ref": "koenvos/environment-test", "kernel_id": "123765"}, {"ref": "nicolasschabram/python-data-exploration", "kernel_id": "124859"}, {"ref": "potatoface/regularized-linear-models", "kernel_id": "124038"}, {"ref": "diederikbeker/first-file", "kernel_id": "124156"}, {"ref": "jfranken/practice-ml-skills", "kernel_id": "386025"}, {"ref": "davidweisscode/randomforestregressor", "kernel_id": "163538"}, {"ref": "vinay6666/linear-regression-very-basic", "kernel_id": "135993"}, {"ref": "henryjing/variable-clustering-for-variable-screening", "kernel_id": "195088"}, {"ref": "henryjing/notebookc32716d8c0", "kernel_id": "195132"}, {"ref": "bboppins/housing-prices-fast-easy-recode", "kernel_id": "270679"}, {"ref": "setpoint/lasso-model-for-regression-problem", "kernel_id": "146050"}, {"ref": "rpersd/regularized-linear-models", "kernel_id": "126925"}, {"ref": "hesimin123456789/notebook89c32d18ea", "kernel_id": "162599"}, {"ref": "wenling/regularized-linear-models", "kernel_id": "132062"}, {"ref": "hayfay/machine-learning-kaggle-learn", "kernel_id": "665733"}, {"ref": "hayfay/iowa-home-prices-haylee-ham", "kernel_id": "665865"}, {"ref": "gparash1/notebookdd025f2212", "kernel_id": "130091"}, {"ref": "utkarshdeep/comprehensive-data-exploration-with-python", "kernel_id": "685945"}, {"ref": "dstuerzer/notebook39ce376d62", "kernel_id": "133152"}, {"ref": "kandebonfim/checking-for-correlations-in-house-pricing", "kernel_id": "126719"}, {"ref": "joesph/notebook65c1772600", "kernel_id": "209322"}, {"ref": "joesph/price-prediction", "kernel_id": "209323"}, {"ref": "joesph/fork-of-price-prediction", "kernel_id": "209373"}, {"ref": "joesph/regularized-linear-models", "kernel_id": "192518"}, {"ref": "joesph/notebookefdbbb3325", "kernel_id": "192520"}, {"ref": "joesph/notebookff4f60cb11", "kernel_id": "192523"}, {"ref": "joesph/regularized-linear-models-e03b2d", "kernel_id": "192524"}, {"ref": "bangguo/notebook7ced516e3d", "kernel_id": "125631"}, {"ref": "faizanbatra/dm-fbatra", "kernel_id": "127858"}, {"ref": "hcai5658/notebook3ba32832bd", "kernel_id": "187540"}, {"ref": "hcai5658/notebook0205cfc70d", "kernel_id": "140912"}, {"ref": "hcai5658/notebook343853bf28", "kernel_id": "140913"}, {"ref": "emcgrath/notebookd31dffc2aa", "kernel_id": "135503"}, {"ref": "huazhang/notebookce7c348722", "kernel_id": "247862"}, {"ref": "jntende/detailed-data-exploration-in-python", "kernel_id": "135093"}, {"ref": "jntende/regularized-linear-models", "kernel_id": "163166"}, {"ref": "nadieh/randomforestregressor", "kernel_id": "146892"}, {"ref": "nadieh/notebookd28a906323", "kernel_id": "128776"}, {"ref": "kadek750/linear-regression-with-lasso", "kernel_id": "252358"}, {"ref": "kadek750/deep-neural-network-model", "kernel_id": "252443"}, {"ref": "kadek750/overview-of-kernels-employed-in-the-ames-dataset", "kernel_id": "252278"}, {"ref": "nickraemaekers/notebookadcf1afe9d", "kernel_id": "129807"}, {"ref": "kerchner/kerchner-gadsden-23feb2017", "kernel_id": "193434"}, {"ref": "kerchner/working-notebook", "kernel_id": "186624"}, {"ref": "kerchner/dan-working-notebook", "kernel_id": "186645"}, {"ref": "mrckrd/notebook5576891b41", "kernel_id": "229266"}, {"ref": "kanshen/regularized-linear-models", "kernel_id": "130192"}, {"ref": "prakashjyoti/linear-regression-with-ridge-regularization", "kernel_id": "171970"}, {"ref": "prakashjyoti/linear-regression-house-price", "kernel_id": "170978"}, {"ref": "prakashjyoti/linear-regression-with-feature-selection", "kernel_id": "171156"}, {"ref": "prakashjyoti/fork-of-linear-regression", "kernel_id": "171148"}, {"ref": "alfazick/my-first-machine-learning-model-3fb95e", "kernel_id": "778912"}, {"ref": "alfazick/learning-to-use-xgboost", "kernel_id": "808958"}, {"ref": "alfazick/using-categorical-data-with-one-hot-encoding", "kernel_id": "808545"}, {"ref": "alfazick/handling-missing-values", "kernel_id": "797741"}, {"ref": "mikihaiat/notebook2fae6d67cd", "kernel_id": "129474"}, {"ref": "mikihaiat/notebook17c4cb7894", "kernel_id": "129476"}, {"ref": "mikihaiat/simply-regression-analysis-welcome-to-discuss", "kernel_id": "136108"}, {"ref": "forrelax/notebook588ff9b8bc", "kernel_id": "128285"}, {"ref": "pawan05/notebook93feedfeaa", "kernel_id": "195804"}, {"ref": "jeremyjgriffith/randomforestregressor", "kernel_id": "128739"}, {"ref": "sweetie/notebookd10095a557", "kernel_id": "128870"}, {"ref": "asokamoorthy/housing-price-asokamoorthy", "kernel_id": "361156"}, {"ref": "andreamar/bayesian-opt-of-xgboost-hyperparameters-mice", "kernel_id": "482472"}, {"ref": "aadibhumihar/house-price-predict", "kernel_id": "171629"}, {"ref": "aadibhumihar/hosing-price", "kernel_id": "285587"}, {"ref": "santiagomedina/notebook42adcd6def", "kernel_id": "253572"}, {"ref": "santiagomedina/notebookd3d270af5a", "kernel_id": "253574"}, {"ref": "a798253982/notebook98955904bd", "kernel_id": "219642"}, {"ref": "a798253982/notebook960b54a511", "kernel_id": "219643"}, {"ref": "a798253982/explorecorrelation", "kernel_id": "219647"}, {"ref": "b2nice/notebook82ce858f1e", "kernel_id": "156695"}, {"ref": "hhyhhyhy/notebook9f71075ce4", "kernel_id": "181562"}, {"ref": "ahmedwael/notebook3f312168b1", "kernel_id": "139021"}, {"ref": "onkalcengiz/house-price-test", "kernel_id": "143140"}, {"ref": "onkalcengiz/linear-regression-for-house-price", "kernel_id": "143137"}, {"ref": "onkalcengiz/notebookd538d86eb1", "kernel_id": "141399"}, {"ref": "sujunhao/comprehensive-data-exploration-with-python-be795d", "kernel_id": "216172"}, {"ref": "wernerchao/notebookc26f0b8c62", "kernel_id": "148360"}, {"ref": "wernerchao/house-price-lasso-xgboost", "kernel_id": "148361"}, {"ref": "wernerchao/regularized-linear-models", "kernel_id": "148356"}, {"ref": "edcyczl/regularized-linear-models", "kernel_id": "187441"}, {"ref": "edcyczl/2-17-bugg", "kernel_id": "187452"}, {"ref": "edcyczl/notebooka5cd14a1c2", "kernel_id": "188999"}, {"ref": "witwiki/my-model-house-prices", "kernel_id": "542216"}, {"ref": "gunjan17/notebook551897e2f2", "kernel_id": "266487"}, {"ref": "gunjan17/predicting-house-prices-via-linearregression", "kernel_id": "236249"}, {"ref": "gunjan17/notebook064be679f9", "kernel_id": "233556"}, {"ref": "gunjan17/notebook8fe4da0399", "kernel_id": "235126"}, {"ref": "gunjan17/notebook953c9c9c5c", "kernel_id": "235127"}, {"ref": "gebdog/house-prices-eda", "kernel_id": "173640"}, {"ref": "aitakuma/notebook313007f4a8", "kernel_id": "133109"}, {"ref": "tdhslayer/notebookfdfcc9382e", "kernel_id": "207600"}, {"ref": "banglebangle22/notebook84ecedbfed", "kernel_id": "132763"}, {"ref": "cdaa16davidguijo/dummies-for-dummies", "kernel_id": "132866"}, {"ref": "danjordan/tidy-r-with-mice-and-xgboost", "kernel_id": "150845"}, {"ref": "mixon12/houses", "kernel_id": "141165"}, {"ref": "erinys1296/regularized-linear-models", "kernel_id": "133421"}, {"ref": "anntest/notebookb9cff23969", "kernel_id": "133422"}, {"ref": "anntest/notebooka8adf36a57", "kernel_id": "133424"}, {"ref": "mjjang/notebookdda802fb05", "kernel_id": "133502"}, {"ref": "amodi8/handling-missing-values-with-iowa-house-prices", "kernel_id": "783646"}, {"ref": "talsag/house-price-data-exploration", "kernel_id": "143162"}, {"ref": "wangyizhou30/svm-house", "kernel_id": "159234"}, {"ref": "wangyizhou30/notebookf9d0de983c", "kernel_id": "158998"}, {"ref": "wangyizhou30/svm-processmore", "kernel_id": "159755"}, {"ref": "wangyizhou30/testtt", "kernel_id": "159918"}, {"ref": "wangyizhou30/svm-more5", "kernel_id": "160012"}, {"ref": "wangyizhou30/cart-processmore", "kernel_id": "159798"}, {"ref": "wangyizhou30/notebook03d132665e", "kernel_id": "134249"}, {"ref": "wangyizhou30/regularized-linear-models", "kernel_id": "134254"}, {"ref": "ewiwi79/using-xgboost-for-feature-selection", "kernel_id": "220251"}, {"ref": "wanhuachan/house-price-prediction-with-linear-regression", "kernel_id": "951896"}, {"ref": "tomasv/ensemble-of-4-models-with-cv-lb-0-11489", "kernel_id": "190986"}, {"ref": "notnami/notebook381c5eccd6", "kernel_id": "139912"}, {"ref": "confuserob/notebookddeef28497", "kernel_id": "158640"}, {"ref": "jamsterjai/please-critique-how-sing-xgb-and-gbr", "kernel_id": "331078"}, {"ref": "tshrjn/regularized-linear-models", "kernel_id": "175621"}, {"ref": "delange/regularized-linear-models", "kernel_id": "151052"}, {"ref": "delange/notebook91ef544af5", "kernel_id": "151036"}, {"ref": "delange/boosting-for-home-prices", "kernel_id": "151071"}, {"ref": "delange/regularized-linear-models-e2d33964", "kernel_id": "151072"}, {"ref": "steve7an/my-first-machine-learning-model", "kernel_id": "893595"}, {"ref": "duncanrenfrow/notebook420041e362", "kernel_id": "135504"}, {"ref": "duncanrenfrow/housing-prices", "kernel_id": "135505"}, {"ref": "hubaym/first-competition", "kernel_id": "142503"}, {"ref": "yerne39/regularized-linear-models-commented", "kernel_id": "243064"}, {"ref": "siriuscorp/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "251629"}, {"ref": "maxtoronto/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "150315"}, {"ref": "maxtoronto/keep-it-simple-not-simpler-2f0b05ed", "kernel_id": "150316"}, {"ref": "maxtoronto/keep-it-simple-not-simpler", "kernel_id": "150308"}, {"ref": "maxtoronto/housing-price-prediction-w-sklearn-3d12ab3f", "kernel_id": "150326"}, {"ref": "maxtoronto/detailed-data-exploration-in-python", "kernel_id": "149582"}, {"ref": "maxtoronto/exploring-features-and-regression-models", "kernel_id": "168148"}, {"ref": "rodrigokryb/notebookcc3d6c498a", "kernel_id": "151200"}, {"ref": "rodrigokryb/notebook57a24d7d99", "kernel_id": "143727"}, {"ref": "mindaugasn/house-prices-v1", "kernel_id": "540348"}, {"ref": "rakeshinnitk/notebookabca350355", "kernel_id": "181778"}, {"ref": "brocolpif/notebook10213516a3", "kernel_id": "136796"}, {"ref": "fouillededonnees/jonathan", "kernel_id": "136871"}, {"ref": "fouillededonnees/notebookf9d0d5a25c", "kernel_id": "178356"}, {"ref": "fouillededonnees/notebook355fdd106a", "kernel_id": "174055"}, {"ref": "fouillededonnees/regresion", "kernel_id": "170012"}, {"ref": "fouillededonnees/notebooke0cea6655f", "kernel_id": "170010"}, {"ref": "fouillededonnees/notebookd2f789b428", "kernel_id": "172660"}, {"ref": "fouillededonnees/notebook21b32b98b3", "kernel_id": "172654"}, {"ref": "barthelemy/notebook849b03b7e8", "kernel_id": "170617"}, {"ref": "fadhli/predicting-house-prices-with-linear-regression", "kernel_id": "465084"}, {"ref": "rfliu6/script-v66", "kernel_id": "193759"}, {"ref": "poojabiyani/house-price-prediction", "kernel_id": "220140"}, {"ref": "poojabiyani/abcde", "kernel_id": "223475"}, {"ref": "bisaysavath/notebook5c14e5ea38", "kernel_id": "137805"}, {"ref": "jmbull/house-values-r-random-forest", "kernel_id": "149127"}, {"ref": "jmbull/notebookac10f1107b", "kernel_id": "149131"}, {"ref": "jmbull/housing-prices-r-xgboost-mice-fork", "kernel_id": "159386"}, {"ref": "yasserabouelsaad/notebook12b0233e9e", "kernel_id": "140072"}, {"ref": "georgosgeorgos/notebook37949537e8", "kernel_id": "170310"}, {"ref": "thangntt/notebook12f2cbceea", "kernel_id": "185203"}, {"ref": "thangntt/notebook29d225fabd", "kernel_id": "185207"}, {"ref": "thangntt/regularized-linear-models", "kernel_id": "175651"}, {"ref": "thangntt/notebookd15ac53503", "kernel_id": "174834"}, {"ref": "thangntt/filling-up-missing-values", "kernel_id": "177190"}, {"ref": "pgirish/notebook7cdb163117", "kernel_id": "180664"}, {"ref": "pgirish/comparing-regression-algorithms", "kernel_id": "180665"}, {"ref": "mishi1997/notebook76c510a0eb", "kernel_id": "165591"}, {"ref": "nlevine/notebook42e904a67c", "kernel_id": "142334"}, {"ref": "nlevine/house-prices", "kernel_id": "142355"}, {"ref": "dgawlik/house-prices-eda", "kernel_id": "170249"}, {"ref": "akanet/notebook2dd578ed1b", "kernel_id": "157458"}, {"ref": "abdelhakim/detailed-data-analysis-ensemble-modeling", "kernel_id": "231578"}, {"ref": "akiaki/notebook08aa126187", "kernel_id": "167552"}, {"ref": "mmiller82/data-exploration-in-python", "kernel_id": "248114"}, {"ref": "mmiller82/house-prices-modeling", "kernel_id": "279940"}, {"ref": "raja200k/detailed-data-exploration-in-python", "kernel_id": "141465"}, {"ref": "wisedoge/filling-up-missing-values", "kernel_id": "208699"}, {"ref": "hemanth171/notebook2cb8796eaf", "kernel_id": "146623"}, {"ref": "mikhailiuk/notebookb5582e2d99", "kernel_id": "239996"}, {"ref": "hustry/notebook7b871e1877", "kernel_id": "243063"}, {"ref": "aria2828/notebook1d70e8619c", "kernel_id": "256509"}, {"ref": "platinumgodlike/notebook01fa552192", "kernel_id": "146064"}, {"ref": "deepak754119/notebook03e9c856b7", "kernel_id": "242040"}, {"ref": "myonin/prediction-of-house-prices-3-methods", "kernel_id": "160955"}, {"ref": "davideng/homeprices", "kernel_id": "142328"}, {"ref": "ssusie/notebookc7d064b3c2", "kernel_id": "143169"}, {"ref": "superzhang828/ensemble-of-4-models-with-cv-lb-0-11489", "kernel_id": "157382"}, {"ref": "superzhang828/notebookb02304c8ea", "kernel_id": "200229"}, {"ref": "plum356/notebookbfff90dfd8", "kernel_id": "209423"}, {"ref": "selphin/notebookba0f79065e", "kernel_id": "142002"}, {"ref": "praveenpenta/house-price-prediction-using-regression-model", "kernel_id": "249219"}, {"ref": "praveenpenta/house-price-data-prediction-using-regression", "kernel_id": "249224"}, {"ref": "praveenpenta/notebookd28440c5b8", "kernel_id": "252212"}, {"ref": "praveenpenta/house-price-first-linear-regression", "kernel_id": "252216"}, {"ref": "abkathiriya/notebookc0cf6cd957", "kernel_id": "221784"}, {"ref": "jamesethatcher/comprehensive-data-exploration-with-python", "kernel_id": "194967"}, {"ref": "svivekanandhan/notebook1c9121a373", "kernel_id": "145158"}, {"ref": "svivekanandhan/sample", "kernel_id": "145159"}, {"ref": "dhavalsimaria/my-first-machine-learning-model", "kernel_id": "688969"}, {"ref": "chenhui/regularized-linear-models-e9fe26", "kernel_id": "222432"}, {"ref": "lich070192/featurs", "kernel_id": "298981"}, {"ref": "sadsdfdsgfdg/script-v6", "kernel_id": "142202"}, {"ref": "sie16jj/run12", "kernel_id": "143688"}, {"ref": "sie16jj/run123", "kernel_id": "143697"}, {"ref": "marcelomedre/simple-ann-model-score-0-20290", "kernel_id": "184587"}, {"ref": "mbomega/notebooke35c7e1a45", "kernel_id": "149859"}, {"ref": "mbomega/notebookd7b6f8d065", "kernel_id": "149860"}, {"ref": "olgabelitskaya/regressors", "kernel_id": "192746"}, {"ref": "olgabelitskaya/5-day-data-challenge-day-5", "kernel_id": "480181"}, {"ref": "kknaub/notebooka8720491d2", "kernel_id": "146246"}, {"ref": "xirudieyi/house-prices", "kernel_id": "197906"}, {"ref": "regbtr/qqqqqq", "kernel_id": "142578"}, {"ref": "statham/regularized-linear-models", "kernel_id": "142782"}, {"ref": "doraem123/notebook74fee1e464", "kernel_id": "237208"}, {"ref": "sashia/notebookad6a90d11e", "kernel_id": "142858"}, {"ref": "rafanovello/handling-missing-values", "kernel_id": "771889"}, {"ref": "andhacoder/notebook5f1913873a", "kernel_id": "267300"}, {"ref": "utyuzhok/notebook85645f80a0", "kernel_id": "240208"}, {"ref": "xiaoguo/housepricestarter", "kernel_id": "271175"}, {"ref": "sreethura/eda-on-housing-prices-dataset", "kernel_id": "506534"}, {"ref": "jeffliu23/regularized-linear-models", "kernel_id": "145147"}, {"ref": "sharadananda/notebookbdbeebd27f", "kernel_id": "174980"}, {"ref": "impressor/house-prices-regression-techniques", "kernel_id": "304375"}, {"ref": "rembrandt/notebook0d2b333cd0", "kernel_id": "225604"}, {"ref": "madeleineliu/notebook07fab68aff", "kernel_id": "275174"}, {"ref": "jameslijinku/notebookd9b28ce9e1", "kernel_id": "159932"}, {"ref": "varshita/selecting-and-filtering-in-pandas-basic-stuff", "kernel_id": "688770"}, {"ref": "nursahver/notebookb9847ea86c", "kernel_id": "145086"}, {"ref": "nursahver/notebooke590d06e0d", "kernel_id": "145840"}, {"ref": "dheerajgoudborlla/notebook25e9af18a6", "kernel_id": "224915"}, {"ref": "saltyporridge/notebook5bb7149579", "kernel_id": "196027"}, {"ref": "saltyporridge/notebook21ea86c65e", "kernel_id": "236507"}, {"ref": "slushyturkey/make-them-pay", "kernel_id": "877117"}, {"ref": "southsinger/notebook1c7d92ccb3", "kernel_id": "150812"}, {"ref": "rogrezende/cross-validation-gbm-and-rf", "kernel_id": "325803"}, {"ref": "rogrezende/cross-validation-glm", "kernel_id": "332789"}, {"ref": "ahoosh/notebooka2673b630b", "kernel_id": "153106"}, {"ref": "beamsjr/regularized-linear-models", "kernel_id": "145513"}, {"ref": "philipfry/house-prices-data-exploration-and-visualisation", "kernel_id": "183511"}, {"ref": "hongyihu/house-prices", "kernel_id": "236056"}, {"ref": "phraznikov/notebook2f9fffb23c", "kernel_id": "239342"}, {"ref": "q707043502/comprehensive-data-exploration-with-python", "kernel_id": "210452"}, {"ref": "aekkav/homesale-v1", "kernel_id": "147453"}, {"ref": "akerlyn/notebook9f58eaa56a", "kernel_id": "199291"}, {"ref": "akerlyn/notebook011f19ec3c", "kernel_id": "198814"}, {"ref": "akerlyn/notebookd63fb4098a", "kernel_id": "198910"}, {"ref": "akerlyn/notebook3034756cd6", "kernel_id": "210195"}, {"ref": "johnobia/notebookf1bcd8e7af", "kernel_id": "218844"}, {"ref": "krisuncy/solutions-house-prices-lasso-regression-d78f72a9", "kernel_id": "156602"}, {"ref": "krisuncy/solutions-house-prices-lasso-regression-b17d6fdc", "kernel_id": "156132"}, {"ref": "krisuncy/notebookb8bea61f9e", "kernel_id": "154646"}, {"ref": "krisuncy/solutions-house-prices-lasso-regression", "kernel_id": "154679"}, {"ref": "tyouyu/notebookfd9e84ac52", "kernel_id": "222433"}, {"ref": "mizioan/fork-of-python-mice-regularized-linear-models", "kernel_id": "189791"}, {"ref": "mizioan/python-mice-xgboost-regularized-linear-models", "kernel_id": "187361"}, {"ref": "adisaputra7/notebook8d80b30d40", "kernel_id": "213139"}, {"ref": "adisaputra7/notebook52528794a3", "kernel_id": "213186"}, {"ref": "gnyati/test-code", "kernel_id": "323324"}, {"ref": "pranathik/my-model-d1a01d", "kernel_id": "584279"}, {"ref": "mmtripathi/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "163485"}, {"ref": "ishanhan/notebook090284fe30", "kernel_id": "156392"}, {"ref": "regulus65535/regularized-linear-models-simplified", "kernel_id": "191840"}, {"ref": "liujilong/notebook2e1fedcd93", "kernel_id": "219711"}, {"ref": "liujilong/notebook8721ab6143", "kernel_id": "219760"}, {"ref": "jayaldeepak/predicting-house-prices-using-regression", "kernel_id": "337965"}, {"ref": "haydenjeune/xgb-regression-benchmark", "kernel_id": "181501"}, {"ref": "puneetks/data-cleaning-eda-predictive-modeling", "kernel_id": "832025"}, {"ref": "haoyuanji/regularized-linear-models", "kernel_id": "149719"}, {"ref": "gkrishnatreya/notebook290f721c89", "kernel_id": "151346"}, {"ref": "jyotismita4/notebook5df3410a6d", "kernel_id": "151322"}, {"ref": "amitabhanath/notebookfb5be36dd3", "kernel_id": "151310"}, {"ref": "jesmine/notebook108d726d06", "kernel_id": "151431"}, {"ref": "jesmine/notebookab88aad692", "kernel_id": "151434"}, {"ref": "jesmine/notebookc1a94bec6c", "kernel_id": "151474"}, {"ref": "jesmine/notebookd3a843b1ab", "kernel_id": "151460"}, {"ref": "samirthakur1993/notebookaec9efef5c", "kernel_id": "151371"}, {"ref": "anshuamboruah/notebookfe7a96cbb0", "kernel_id": "151327"}, {"ref": "anshuamboruah/notebookfe1aa8b71d", "kernel_id": "151341"}, {"ref": "vivekverma/notebook1d8433c299", "kernel_id": "151406"}, {"ref": "kalyaneeboruah/notebook0ed25dced9", "kernel_id": "151351"}, {"ref": "bipancheaditya/notebook4709fc3964", "kernel_id": "151411"}, {"ref": "daimarirwirub/notebook689eae59f1", "kernel_id": "151347"}, {"ref": "daimarirwirub/notebookb1ccaf4229", "kernel_id": "151364"}, {"ref": "ritapaul/notebook3d073c4fe0", "kernel_id": "151325"}, {"ref": "himalakshi/notebookd10288d0c2", "kernel_id": "151330"}, {"ref": "kumarisweta/notebookc1d1849b69", "kernel_id": "151383"}, {"ref": "kumarisweta/notebook214ef34493", "kernel_id": "151358"}, {"ref": "kumarisweta/notebook1a3ab58028", "kernel_id": "151506"}, {"ref": "roshandec29/notebook9eb6bff552", "kernel_id": "151412"}, {"ref": "roshandec29/notebook81dba91d08", "kernel_id": "151401"}, {"ref": "roshandec29/notebookf54cb49ea7", "kernel_id": "152284"}, {"ref": "roshandec29/notebook968c17f6b9", "kernel_id": "152246"}, {"ref": "roshandec29/notebookf0b45b5c06", "kernel_id": "152250"}, {"ref": "alokpanjiyar/fork-of-kovid-gu-alokpanjiyar-workshop", "kernel_id": "157275"}, {"ref": "alokpanjiyar/kovid-gu-alokpanjiyar-workshop", "kernel_id": "157267"}, {"ref": "manash123/notebook11fff15025", "kernel_id": "151319"}, {"ref": "manash123/notebooka38cb78dc8", "kernel_id": "151335"}, {"ref": "manash123/housing-price-index", "kernel_id": "196705"}, {"ref": "sheoran/houses-prices", "kernel_id": "187654"}, {"ref": "sheoran/notebookcce184c1df", "kernel_id": "187687"}, {"ref": "sheoran/prices-of-house", "kernel_id": "187689"}, {"ref": "sheoran/house-prices", "kernel_id": "187668"}, {"ref": "karishmitak/housing-price-indexes", "kernel_id": "196710"}, {"ref": "anthonyku1031/first-try", "kernel_id": "226032"}, {"ref": "ankip3d/notebook97c9df0c73", "kernel_id": "151385"}, {"ref": "ankip3d/house-price", "kernel_id": "191065"}, {"ref": "matiasduran/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "270946"}, {"ref": "kanchan31/house-index", "kernel_id": "191055"}, {"ref": "kanchan31/notebook3948e7de08", "kernel_id": "191048"}, {"ref": "divyabaruah/notebook6f19cec9b3", "kernel_id": "151355"}, {"ref": "jadephung/house-price", "kernel_id": "152464"}, {"ref": "jadephung/house-version-2-0", "kernel_id": "156794"}, {"ref": "jadephung/notebook64b6b0bc09", "kernel_id": "150582"}, {"ref": "chandan1996/notebookb0e376e504", "kernel_id": "151312"}, {"ref": "chandan1996/fork-of-housing-index", "kernel_id": "190591"}, {"ref": "chandan1996/fork-of-housing-index-fbb700", "kernel_id": "190592"}, {"ref": "chandan1996/notebook155570db71", "kernel_id": "190594"}, {"ref": "chandan1996/notebook5eeea2531c", "kernel_id": "190577"}, {"ref": "chandan1996/housing-index", "kernel_id": "190578"}, {"ref": "juchika/notebook5b15c39f17", "kernel_id": "151314"}, {"ref": "juchika/housing-index", "kernel_id": "190595"}, {"ref": "juchika/fork-of-notebook167e813d6c", "kernel_id": "193777"}, {"ref": "juchika/notebook167e813d6c", "kernel_id": "193772"}, {"ref": "debasishhazarika/notebookc49813f901", "kernel_id": "151353"}, {"ref": "rkbrubul/notebook17867c5373", "kernel_id": "151324"}, {"ref": "ashiya123kaggle/notebook2b03168338", "kernel_id": "151391"}, {"ref": "ashiya123kaggle/notebookcfec8c2e37", "kernel_id": "151399"}, {"ref": "ashiya123kaggle/notebook1930c982bc", "kernel_id": "151414"}, {"ref": "mrinaldebanath/notebook7331ba15c8", "kernel_id": "151404"}, {"ref": "mrinaldebanath/notebooka7da38badc", "kernel_id": "151333"}, {"ref": "diegoruiz/linear-model-with-l1-and-l2-penalties-for-baseline", "kernel_id": "604961"}, {"ref": "linearregression/regularized-linear-models", "kernel_id": "152193"}, {"ref": "linearregression/regularized-linear-models-5ed011f2", "kernel_id": "155230"}, {"ref": "linearregression/regularized-linear-models-0793c9e9", "kernel_id": "155250"}, {"ref": "abora80/notebooka6cd12fa5f", "kernel_id": "151352"}, {"ref": "drbhargabmedhi/notebook7de158c359", "kernel_id": "151350"}, {"ref": "kovidgukhurshid/notebookfc0a74c7ab", "kernel_id": "151361"}, {"ref": "ecnuykh/regularized-linear-models", "kernel_id": "173059"}, {"ref": "ecnuykh/regularized-linear-models-6bd2155b", "kernel_id": "173295"}, {"ref": "ecnuykh/regularized-linear-models-b42501", "kernel_id": "191841"}, {"ref": "miguelangelnieto/notebookb5be5763d1", "kernel_id": "164141"}, {"ref": "miguelangelnieto/pca-and-regression", "kernel_id": "166160"}, {"ref": "villefranche/comprehensive-data-exploration-with-python", "kernel_id": "193025"}, {"ref": "dmikrav/xgboost-lasso", "kernel_id": "274474"}, {"ref": "lmartins/detailed-exploratory-data-analysis-using-r", "kernel_id": "162707"}, {"ref": "ekethio/notebook8a2bd9dc7d", "kernel_id": "222373"}, {"ref": "ekethio/housing-regression", "kernel_id": "222365"}, {"ref": "ekethio/housing", "kernel_id": "210189"}, {"ref": "ekethio/analysis-of-the-housing-market", "kernel_id": "211979"}, {"ref": "ekethio/housing-prediction", "kernel_id": "212702"}, {"ref": "ekethio/ahjalsljs", "kernel_id": "314280"}, {"ref": "ekethio/interesting", "kernel_id": "314152"}, {"ref": "ekethio/guide-to-a-comprehensive-prediction-process", "kernel_id": "328820"}, {"ref": "subho406/evaluating-best-regression-model", "kernel_id": "154321"}, {"ref": "mackenziegray/notebookba20eab7d8", "kernel_id": "154981"}, {"ref": "mauricesimon/notebooke2e815c08a", "kernel_id": "153926"}, {"ref": "mauricesimon/notebook8f701bb50e", "kernel_id": "153927"}, {"ref": "fr4nkyb/notebook2ec40502d1", "kernel_id": "153921"}, {"ref": "ashishpatel26/starting-your-ml-project", "kernel_id": "756773"}, {"ref": "moubius/notebooke18ea678a0", "kernel_id": "257176"}, {"ref": "geek4002/house-prices-explore-features-and-xgboost", "kernel_id": "154530"}, {"ref": "dannyathk/detailed-exploratory-data-analysis-with-python", "kernel_id": "175548"}, {"ref": "stephanieblubaugh/housing-prices-prediction-with-scikit-learn", "kernel_id": "156714"}, {"ref": "scitesy/housing-prices-prediction-with-scikit-learn", "kernel_id": "156765"}, {"ref": "pablocortez/notebook2d53f303f0", "kernel_id": "156040"}, {"ref": "richardlo/regularized-linear-models-42ab65a2", "kernel_id": "155478"}, {"ref": "richardlo/regularized-linear-models", "kernel_id": "155439"}, {"ref": "richardlo/regularized-linear-models-1b7715bd", "kernel_id": "157154"}, {"ref": "richardlo/regularized-linear-models-6be75ac6", "kernel_id": "163089"}, {"ref": "richardlo/regularized-linear-models-9c436a", "kernel_id": "184066"}, {"ref": "codelessricky/selecting-and-filtering-in-pandas", "kernel_id": "984707"}, {"ref": "msimon/house-prices-model-stacking", "kernel_id": "541712"}, {"ref": "dbertram/housing-prices-prediction-with-scikit-learn", "kernel_id": "156715"}, {"ref": "sebasjoustra/notebookbdec2887c8", "kernel_id": "156345"}, {"ref": "sebasjoustra/notebooka6c0e6d26d", "kernel_id": "156341"}, {"ref": "sebasjoustra/regularized-linear-models", "kernel_id": "173319"}, {"ref": "fizik2/notebookf48aec0577", "kernel_id": "157654"}, {"ref": "joeribes/notebook80526064a3", "kernel_id": "156338"}, {"ref": "joeribes/notebook093c7e6d39", "kernel_id": "156352"}, {"ref": "manonsch/notebookaf5421d9a8", "kernel_id": "156360"}, {"ref": "manonsch/notebookcfae36a250", "kernel_id": "156347"}, {"ref": "manonsch/notebook60b1531b60", "kernel_id": "156339"}, {"ref": "manonsch/notebook15176ede76", "kernel_id": "156342"}, {"ref": "manonsch/notebook07df8a624a", "kernel_id": "156344"}, {"ref": "manonsch/notebook59e32325ea", "kernel_id": "156336"}, {"ref": "manonsch/notebook57ff2d79e0", "kernel_id": "156326"}, {"ref": "dingsiwei/houseprices", "kernel_id": "739417"}, {"ref": "ashutosh1/housing-prices-prediction-with-scikit-learn", "kernel_id": "156722"}, {"ref": "no1coolguy/housing-prices-prediction-with-scikit-learn", "kernel_id": "156727"}, {"ref": "jiahuan/notebook6e13394b63", "kernel_id": "156708"}, {"ref": "gillmylady/regularized-linear-models", "kernel_id": "161109"}, {"ref": "shepmaster/housing-prices-prediction-with-scikit-learn", "kernel_id": "156766"}, {"ref": "lillywhite/housing-prices-prediction-with-scikit-learn", "kernel_id": "156751"}, {"ref": "akuntz1029/housing-prices-prediction-with-scikit-learn", "kernel_id": "156759"}, {"ref": "muvaulter16/housing-prices-prediction-with-scikit-learn", "kernel_id": "156742"}, {"ref": "brummy/housing-prices-prediction-with-scikit-learn", "kernel_id": "156757"}, {"ref": "narenrsuri/predicting-house-prices-in-ames-iowa", "kernel_id": "157796"}, {"ref": "qlidct/notebooke27222e96d", "kernel_id": "259933"}, {"ref": "qlidct/notebook875a657e9d", "kernel_id": "202312"}, {"ref": "qlidct/notebook6e8f0a9e68", "kernel_id": "202962"}, {"ref": "qlidct/notebookb907443fdc", "kernel_id": "156252"}, {"ref": "qlidct/notebookaeac176f3a", "kernel_id": "170005"}, {"ref": "qlidct/notebook4ce05a5115", "kernel_id": "174046"}, {"ref": "qlidct/notebookf9541e13e9", "kernel_id": "173774"}, {"ref": "qlidct/notebookfda66d9c56", "kernel_id": "177595"}, {"ref": "qlidct/notebook3f85dd99ca", "kernel_id": "178316"}, {"ref": "qlidct/notebooke696d68d38", "kernel_id": "182657"}, {"ref": "bram502/notebook3979bc6307", "kernel_id": "156346"}, {"ref": "bram502/notebook85937019cf", "kernel_id": "156351"}, {"ref": "bram502/notebook5b0a3592b9", "kernel_id": "156340"}, {"ref": "bram502/regularized-linear-models", "kernel_id": "173317"}, {"ref": "ryanfakir/housing-prices-prediction-with-scikit-learn", "kernel_id": "156730"}, {"ref": "adurkin/housing-prices-prediction-with-scikit-learn", "kernel_id": "156734"}, {"ref": "mpirnat/housing-prices-prediction-with-scikit-learn", "kernel_id": "156724"}, {"ref": "magnificient/housing-prices-prediction-with-scikit-learn", "kernel_id": "156731"}, {"ref": "davidgrace/housing-prices-prediction-with-scikit-learn", "kernel_id": "156735"}, {"ref": "codecadwallader/housing-prices-prediction-with-scikit-learn", "kernel_id": "156733"}, {"ref": "stahlscott/housing-prices-prediction-with-scikit-learn", "kernel_id": "156764"}, {"ref": "kittarzan/notebookd9429201cf", "kernel_id": "192525"}, {"ref": "cmorgan12/housing-prices-prediction-with-scikit-learn", "kernel_id": "156738"}, {"ref": "dmichels/housing-prices-prediction-with-scikit-learn", "kernel_id": "156679"}, {"ref": "dmichels/notebook42e34e3826", "kernel_id": "156786"}, {"ref": "n1nfmind/housing-prices-prediction-with-scikit-learn", "kernel_id": "156753"}, {"ref": "eciryanb/housing-prices-prediction-with-scikit-learn", "kernel_id": "156741"}, {"ref": "dbartkowski/housing-prices-prediction-with-scikit-learn", "kernel_id": "156754"}, {"ref": "bobbylcraig/housing-prices-prediction-with-scikit-learn", "kernel_id": "156811"}, {"ref": "sjmadsen/housing-prices-prediction-with-scikit-learn", "kernel_id": "156760"}, {"ref": "herrdrjones/housing-prices-prediction-with-scikit-learn", "kernel_id": "156721"}, {"ref": "chickensalad/housing-prices-prediction-with-scikit-learn", "kernel_id": "156736"}, {"ref": "rbickham11/housing-prices-prediction-with-scikit-learn", "kernel_id": "156752"}, {"ref": "larrya/housing-prices-prediction-with-scikit-learn", "kernel_id": "156776"}, {"ref": "akroplax/housing-prices-prediction-with-scikit-learn", "kernel_id": "156747"}, {"ref": "akrabat/housing-prices-prediction-with-scikit-learn", "kernel_id": "156716"}, {"ref": "llamalur/housing-prices-prediction-with-scikit-learn", "kernel_id": "156740"}, {"ref": "spoloha11/housing-prices-prediction-with-scikit-learn", "kernel_id": "156773"}, {"ref": "mohan252/housing-prices-prediction-with-scikit-learn", "kernel_id": "156737"}, {"ref": "shakhak/housing-prices-prediction-with-scikit-learn", "kernel_id": "156762"}, {"ref": "k8tied1/housing-prices-prediction-with-scikit-learn", "kernel_id": "156728"}, {"ref": "mhenrichsen/housing-prices-prediction-with-scikit-learn", "kernel_id": "156785"}, {"ref": "himapaladugu/housing-prices-prediction-with-scikit-learn", "kernel_id": "156750"}, {"ref": "kingtorg/housing-prices-prediction-with-scikit-learn", "kernel_id": "156768"}, {"ref": "kinau25/notebook0b26385da6", "kernel_id": "156775"}, {"ref": "kinau25/housing-prices-prediction-with-scikit-learn", "kernel_id": "156779"}, {"ref": "nickinsight/housing-prices-prediction-with-scikit-learn", "kernel_id": "156743"}, {"ref": "aydinqlakcasu/housing-prices-prediction-with-scikit-learn", "kernel_id": "156769"}, {"ref": "krogermd/housing-prices-prediction-with-scikit-learn", "kernel_id": "156782"}, {"ref": "amankumar42/house-price-advanced-regression-technique", "kernel_id": "682958"}, {"ref": "manmohankumar/notebookda7b64ec7a", "kernel_id": "220650"}, {"ref": "manmohankumar/home-prices-prediction-using-python", "kernel_id": "230770"}, {"ref": "manmohankumar/home-prices-prediction", "kernel_id": "230329"}, {"ref": "guoxuyang/trial", "kernel_id": "168426"}, {"ref": "guoxuyang/fork-of-notebookb31497db50-769e20", "kernel_id": "188140"}, {"ref": "guoxuyang/fork-of-notebookb31497db50", "kernel_id": "188124"}, {"ref": "guoxuyang/ensemble-of-4-models-with-cv-lb-0-11489", "kernel_id": "186073"}, {"ref": "vishalagarwal2708/notebook23edafb55b", "kernel_id": "170561"}, {"ref": "excaliburzero/predicting-sale-prices", "kernel_id": "164399"}, {"ref": "aval123/notebook06bd37c467", "kernel_id": "163053"}, {"ref": "actofgod/house-prices-advanced-regression-techniques", "kernel_id": "265452"}, {"ref": "huuhieudo/regularized-linear-models-416e53", "kernel_id": "194028"}, {"ref": "huuhieudo/a-comparison-of-different-regression-algorithms", "kernel_id": "187329"}, {"ref": "huuhieudo/neural-network-approach-visualized-with-t-sne", "kernel_id": "187237"}, {"ref": "huuhieudo/comparing-regression-algorithms", "kernel_id": "187240"}, {"ref": "huuhieudo/regularized-linear-models", "kernel_id": "164169"}, {"ref": "huuhieudo/regularized-linear-models-45b54aed", "kernel_id": "164177"}, {"ref": "huuhieudo/advanced-regression-tutorial", "kernel_id": "179253"}, {"ref": "huuhieudo/regularized-linear-models-54c6713c", "kernel_id": "179266"}, {"ref": "mekykemy/regularized-linear-models-test1", "kernel_id": "179969"}, {"ref": "mekykemy/regularized-linear-models-3ce8586f", "kernel_id": "164162"}, {"ref": "mekykemy/notebook7c2500889b", "kernel_id": "158163"}, {"ref": "mekykemy/regularized-linear-models", "kernel_id": "158169"}, {"ref": "mekykemy/regularized-linear-models-e3718a", "kernel_id": "193389"}, {"ref": "assasgenius/notebook8dd4a0e5c9", "kernel_id": "158107"}, {"ref": "assasgenius/assasgenius", "kernel_id": "164165"}, {"ref": "manisbea/regularized-linear-models-bd5be146", "kernel_id": "164170"}, {"ref": "manisbea/regularized-linear-models-a61c3d2c", "kernel_id": "164157"}, {"ref": "manisbea/manisbea", "kernel_id": "164160"}, {"ref": "manisbea/fork-of-regularized-linear-models-7b54f464", "kernel_id": "164126"}, {"ref": "manisbea/notebook5c2206e90a", "kernel_id": "164122"}, {"ref": "manisbea/manisbea-v2", "kernel_id": "164123"}, {"ref": "manisbea/notebookc2f7cb6f07", "kernel_id": "164078"}, {"ref": "manisbea/notebook517ffa5c0e", "kernel_id": "164081"}, {"ref": "manisbea/regularized-linear-models-b1f3374d", "kernel_id": "164082"}, {"ref": "manisbea/notebook76b15de195", "kernel_id": "164084"}, {"ref": "manisbea/manisbea-filling-up-missing-values", "kernel_id": "178964"}, {"ref": "manisbea/detailed-data-exploration-in-python", "kernel_id": "177875"}, {"ref": "manisbea/detailed-data-exploration-in-python-manisbea", "kernel_id": "177876"}, {"ref": "manisbea/manisbea-randomforestregressor", "kernel_id": "177463"}, {"ref": "manisbea/regularized-linear-models", "kernel_id": "158167"}, {"ref": "manisbea/regularized-linear-models-8f0244e9", "kernel_id": "158168"}, {"ref": "manisbea/notebook2c6c4c95b2", "kernel_id": "158160"}, {"ref": "manisbea/predicting-house-prices", "kernel_id": "197282"}, {"ref": "manisbea/fork-of-manisbea-v2", "kernel_id": "197238"}, {"ref": "manisbea/fork-of-manisbea-v2-608c5a", "kernel_id": "197267"}, {"ref": "manisbea/manisbea-regressions", "kernel_id": "199161"}, {"ref": "assasgenius1/fork-of-assasgenius", "kernel_id": "164179"}, {"ref": "assasgenius1/notebookd235757a49", "kernel_id": "164124"}, {"ref": "assasgenius1/assasgenius", "kernel_id": "164151"}, {"ref": "assasgenius1/lin-r-methods-decision-tree-random-forest-0-121", "kernel_id": "179875"}, {"ref": "assasgenius1/multi-models-comparison-25-02-2017", "kernel_id": "195019"}, {"ref": "assasgenius1/regularized-linear-models-b357a7", "kernel_id": "186017"}, {"ref": "assasgenius1/final-version-12-03-2017", "kernel_id": "209268"}, {"ref": "alixpasserini/notebookr", "kernel_id": "186078"}, {"ref": "alixpasserini/fork-of-jessaudal-77d817", "kernel_id": "186098"}, {"ref": "alixpasserini/fork-of-jessaudal", "kernel_id": "180065"}, {"ref": "alixpasserini/jessaudal", "kernel_id": "164166"}, {"ref": "silverajessica/notebook9cf4da7b8f", "kernel_id": "164181"}, {"ref": "silverajessica/regularized-linear-models-jessaudal", "kernel_id": "179925"}, {"ref": "silverajessica/regularized-regression-housing-pricing", "kernel_id": "186089"}, {"ref": "assasgenius2/notebook80983c189e", "kernel_id": "185999"}, {"ref": "assasgenius2/notebook40612fa7a9", "kernel_id": "186000"}, {"ref": "assasgenius2/regularized-linear-models-0cfd37", "kernel_id": "186023"}, {"ref": "assasgenius2/notebook8d1855c811", "kernel_id": "184800"}, {"ref": "assasgenius2/notebook1f8a26e1d8", "kernel_id": "184690"}, {"ref": "assasgenius2/assasgenius-f9ccbc85", "kernel_id": "183806"}, {"ref": "assasgenius2/assasgenius-049a5ea1", "kernel_id": "183807"}, {"ref": "assasgenius2/notebookfe8717d997", "kernel_id": "183813"}, {"ref": "assasgenius2/3-linear-models-v3", "kernel_id": "193092"}, {"ref": "assasgenius2/3-linear-models-v2", "kernel_id": "193010"}, {"ref": "assasgenius2/fork-of-3-linear-models", "kernel_id": "193051"}, {"ref": "assasgenius2/kridge-lasso", "kernel_id": "192965"}, {"ref": "assasgenius2/3-linear-models-v4-lasso-ridge-xgb", "kernel_id": "194045"}, {"ref": "assasgenius2/3-linear-models-lasso-ridge-xgb-v2", "kernel_id": "194127"}, {"ref": "assasgenius2/lasso-ridge-xgb-v4", "kernel_id": "194138"}, {"ref": "assasgenius2/3-linear-models-lasso-ridge-xgb", "kernel_id": "194102"}, {"ref": "assasgenius2/lasso-xgb", "kernel_id": "194144"}, {"ref": "assasgenius2/gradientboostingregressor-baggingregressor", "kernel_id": "190279"}, {"ref": "assasgenius2/linear-model", "kernel_id": "190154"}, {"ref": "assasgenius2/3-linear-models-lasso-ridge-xgb-v7", "kernel_id": "195035"}, {"ref": "assasgenius2/fork-of-3-linear-models-lasso-ridge-xgb-v7", "kernel_id": "195073"}, {"ref": "assasgenius2/linear-models-lasso-ridge-xgb-gradientboost", "kernel_id": "194881"}, {"ref": "assasgenius2/fork-of-3-linear-models-lasso-ridge-xgb-a6a141", "kernel_id": "194524"}, {"ref": "assasgenius2/fork-of-lasso-xgb", "kernel_id": "194508"}, {"ref": "assasgenius2/3-linear-models-lasso-ridge-xgb-v3", "kernel_id": "194481"}, {"ref": "assasgenius2/fork-of-3-linear-models-lasso-ridge-xgb-8b3c4c", "kernel_id": "197384"}, {"ref": "assasgenius2/fork-of-linear-models-lasso-xgb", "kernel_id": "197406"}, {"ref": "assasgenius2/fork-of-fork-of-linear-models-lasso-xgb", "kernel_id": "197493"}, {"ref": "assasgenius2/lasso", "kernel_id": "199755"}, {"ref": "assasgenius2/fork-of-lasso", "kernel_id": "199787"}, {"ref": "assasgenius2/lasso-model-for-regression-problem", "kernel_id": "199779"}, {"ref": "assasgenius2/lasso-model-for-regression", "kernel_id": "199780"}, {"ref": "assasgenius2/fork-of-lasso-model-for-regression", "kernel_id": "199800"}, {"ref": "assasgenius2/fork-of-data-retreatment-linear-regression-v3", "kernel_id": "209265"}, {"ref": "assasgenius2/final-version-12-03-2017-v2", "kernel_id": "209347"}, {"ref": "assasgenius2/fork-of-data-retreatment-linear-regression-52de44", "kernel_id": "209286"}, {"ref": "assasgenius2/final-version-12-03-2017", "kernel_id": "209303"}, {"ref": "assasgenius2/data-retreatment-linear-regression-v2", "kernel_id": "208793"}, {"ref": "assasgenius2/linear-regression-with-cleaning-data", "kernel_id": "208775"}, {"ref": "assasgenius2/data-retreatment-linear-regression", "kernel_id": "208778"}, {"ref": "assasgenius2/data-retreatment-linear-regression-v3", "kernel_id": "208802"}, {"ref": "assasgenius2/price-prediction", "kernel_id": "209681"}, {"ref": "assasgenius2/notebook774cb38e09", "kernel_id": "180229"}, {"ref": "assasgenius2/notebook0ec1aebb12", "kernel_id": "180230"}, {"ref": "assasgenius2/assasgenius", "kernel_id": "164158"}, {"ref": "assasgenius2/regularized-linear-models-da05c9", "kernel_id": "292239"}, {"ref": "audelia/regularized-linear-models-audelia-alix-et-jessica", "kernel_id": "179926"}, {"ref": "audelia/regularized-linear-models", "kernel_id": "179921"}, {"ref": "audelia/notebook74c0c72592", "kernel_id": "179908"}, {"ref": "audelia/regularized-linear-models-maj", "kernel_id": "179948"}, {"ref": "audelia/notebook2faa24816b", "kernel_id": "179954"}, {"ref": "audelia/notebook0f3afe71e0", "kernel_id": "179867"}, {"ref": "audelia/nice-data-analysis-exploration-modelization", "kernel_id": "209765"}, {"ref": "audelia/fork-of-regularized-linear-model-maj-audeli-577562", "kernel_id": "208527"}, {"ref": "audelia/fork-of-regularized-linear-model-maj-audeli-9cab7f", "kernel_id": "209299"}, {"ref": "audelia/regularized-linear-models-maj-aud-lia", "kernel_id": "198134"}, {"ref": "audelia/nice-regularized-linear-model", "kernel_id": "202892"}, {"ref": "audelia/a-nice-version-of-regularized-model", "kernel_id": "202999"}, {"ref": "audelia/notebook08396f35d2", "kernel_id": "204487"}, {"ref": "audelia/fork-of-notebook-maj-6e180b", "kernel_id": "193048"}, {"ref": "audelia/fork-of-regularized-linear-models-audelia-a-342621", "kernel_id": "192821"}, {"ref": "audelia/quite-nice-statistical-analysis-and-modelization", "kernel_id": "192823"}, {"ref": "audelia/nice-modelization-predictions-and-correlation", "kernel_id": "192807"}, {"ref": "audelia/fork-of-notebook-maj", "kernel_id": "192842"}, {"ref": "audelia/regularized-linear-models-4d38b6", "kernel_id": "186171"}, {"ref": "adurax/detailed-data-exploration-in-python", "kernel_id": "158690"}, {"ref": "adurax/eda-and-outliers", "kernel_id": "158713"}, {"ref": "goldenshark/notebook1f0968eb41", "kernel_id": "237568"}, {"ref": "goldenshark/notebook26fd5951bc", "kernel_id": "238020"}, {"ref": "dsbdap/test001-r", "kernel_id": "159054"}, {"ref": "dsbdap/notebook350fab9431", "kernel_id": "159033"}, {"ref": "mtyxwp/svm-simple", "kernel_id": "160035"}, {"ref": "mtyxwp/dropsvm", "kernel_id": "159340"}, {"ref": "mtyxwp/marshouse", "kernel_id": "159367"}, {"ref": "nicapotato/feature-engineering-and-pre-processing-house-data", "kernel_id": "445679"}, {"ref": "nicapotato/regression-model-catalogue", "kernel_id": "758917"}, {"ref": "omagego/regularized-linear-models", "kernel_id": "178010"}, {"ref": "omagego/house-prices-eda", "kernel_id": "185421"}, {"ref": "arashs/regularized-linear-models-41c70027", "kernel_id": "182206"}, {"ref": "arashs/regularized-linear-models", "kernel_id": "182197"}, {"ref": "jeffeverett/notebook3b3aa09f0f", "kernel_id": "182858"}, {"ref": "warakorn/notebookebf8715c77", "kernel_id": "160779"}, {"ref": "shubhambitsg/notebook5366ec2e07", "kernel_id": "213921"}, {"ref": "usmanabbas/house-prediction07", "kernel_id": "389131"}, {"ref": "ng1991/simple-data-exploration-and-regression-model", "kernel_id": "164266"}, {"ref": "ng1991/first-steps-exploring-xgboost-in-progress", "kernel_id": "202178"}, {"ref": "romilhc/notebook0b734d3f17", "kernel_id": "176914"}, {"ref": "snakeonbasket/notebookabf916e212", "kernel_id": "182853"}, {"ref": "snakeonbasket/housing-price1", "kernel_id": "182860"}, {"ref": "sarala/notebookd00a007d49", "kernel_id": "168362"}, {"ref": "shevonwang/regularized-linear-models", "kernel_id": "232100"}, {"ref": "danhvo/regularized-linear-models", "kernel_id": "205955"}, {"ref": "neboduus/notebookc20f0ec656", "kernel_id": "167740"}, {"ref": "neboduus/regularized-linear-models", "kernel_id": "167778"}, {"ref": "neboduus/house-price-pred", "kernel_id": "184285"}, {"ref": "vikrantthakur14/house-price", "kernel_id": "234473"}, {"ref": "barlesh/pca-and-regression-0db611", "kernel_id": "197196"}, {"ref": "barlesh/comprehensive-data-exploration-with-python", "kernel_id": "195962"}, {"ref": "barlesh/regularized-linear-models", "kernel_id": "196105"}, {"ref": "barlesh/pca-and-regression", "kernel_id": "196172"}, {"ref": "yliu999/notebooke58be15235", "kernel_id": "188204"}, {"ref": "yliu999/play-data", "kernel_id": "188205"}, {"ref": "yliu999/notebook39e54d3137", "kernel_id": "184142"}, {"ref": "invariant47/housing-sales-analysis", "kernel_id": "162723"}, {"ref": "thesonsy/notebook50d4b31fa7", "kernel_id": "175907"}, {"ref": "philip198/starting-out-with-r-house-prices-prediction", "kernel_id": "507155"}, {"ref": "petrytsyn/test-script-py", "kernel_id": "223777"}, {"ref": "cordetese/notebook0b8317a7e8", "kernel_id": "170643"}, {"ref": "pvora1988/filling-up-missing-values", "kernel_id": "186874"}, {"ref": "chesterguo/notebook15e2d4e873", "kernel_id": "187280"}, {"ref": "chesterguo/first", "kernel_id": "187281"}, {"ref": "emay201/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "185212"}, {"ref": "emay201/regularized-linear-models", "kernel_id": "185216"}, {"ref": "evaaaa/notebookf7e2f46724", "kernel_id": "201678"}, {"ref": "dauletm/detailed-data-exploration-in-python", "kernel_id": "163313"}, {"ref": "dauletm/detailed-data-exploration-in-python-9c4c9aee", "kernel_id": "163314"}, {"ref": "qige96/regularized-linear-models", "kernel_id": "177719"}, {"ref": "harshalmane/notebooka4612819a9", "kernel_id": "219566"}, {"ref": "harshalmane/notebook9ba7836e36", "kernel_id": "219553"}, {"ref": "juliensiems/xgboost-lasso", "kernel_id": "163767"}, {"ref": "juliensiems/filling-up-missing-values", "kernel_id": "166921"}, {"ref": "juliensiems/cleaning-new-features-gps-coordinates-included", "kernel_id": "168524"}, {"ref": "sagarvasekar007/housing-price-prediction-by-sagar", "kernel_id": "228501"}, {"ref": "sagarvasekar007/housing-price-prediction", "kernel_id": "228489"}, {"ref": "johnnymedhanie/house-prices-gradient-boosting", "kernel_id": "246646"}, {"ref": "raghav81/notebook133d5af576", "kernel_id": "174009"}, {"ref": "raghav81/house-price", "kernel_id": "191714"}, {"ref": "klinhle/regularized-linear-models", "kernel_id": "164167"}, {"ref": "klinhle/regularized-linear-models-f5578a9f", "kernel_id": "164174"}, {"ref": "mohitagarwal/mohit-s-sale-apartment", "kernel_id": "236575"}, {"ref": "mohitagarwal/mohit-s-house-prices", "kernel_id": "238218"}, {"ref": "pengchengchen/house-prices-data-exploration-and-visualisation", "kernel_id": "177122"}, {"ref": "maryamgrimich/regularized-linear-models", "kernel_id": "164175"}, {"ref": "maryamgrimich/mmizteam", "kernel_id": "164180"}, {"ref": "maryamgrimich/regularized-linear-models-27b11b84", "kernel_id": "179944"}, {"ref": "zyedpls/notebook5dda66aab6", "kernel_id": "179930"}, {"ref": "zyedpls/regularized-linear-models", "kernel_id": "179959"}, {"ref": "zyedpls/notebooke0bcea312a", "kernel_id": "179863"}, {"ref": "zyedpls/fork-of-regularized-linear-models-23ce27", "kernel_id": "209101"}, {"ref": "zyedpls/notebook472983b4ca", "kernel_id": "208270"}, {"ref": "zyedpls/fork-of-regularized-linear-models", "kernel_id": "186093"}, {"ref": "jeffreyapi/feature-selection-for-house-prices", "kernel_id": "183931"}, {"ref": "riheng/notebookd8710b8fc3", "kernel_id": "185610"}, {"ref": "riheng/notebook24169289bd", "kernel_id": "185612"}, {"ref": "riheng/regularized-linear-models", "kernel_id": "187914"}, {"ref": "riheng/notebookf7ea4e3d99", "kernel_id": "187919"}, {"ref": "youver/notebook24a9da5db5", "kernel_id": "187961"}, {"ref": "youver/notebook5833ef795f", "kernel_id": "169506"}, {"ref": "youver/notebooke1c5e00c07", "kernel_id": "169494"}, {"ref": "youver/notebook39e330b254", "kernel_id": "169495"}, {"ref": "youver/notebook5a6dcc65ed", "kernel_id": "169496"}, {"ref": "youver/regularized-linear-models", "kernel_id": "168910"}, {"ref": "youver/notebook25f6ddc832", "kernel_id": "181953"}, {"ref": "youver/regularized-linear-models-f5dda550", "kernel_id": "181954"}, {"ref": "lhlk83358/notebook7f4656afa8", "kernel_id": "198596"}, {"ref": "chudi19/comprehensive-data-exploration-with-python", "kernel_id": "194672"}, {"ref": "chudi19/comprehensive-data-exploration-with-python-8fbd9a", "kernel_id": "195217"}, {"ref": "zhangxuangu/regularized-linear-models", "kernel_id": "264646"}, {"ref": "kp4920/exploratory-data-analysis", "kernel_id": "323461"}, {"ref": "aharless/linear-models-for-house-prices", "kernel_id": "240777"}, {"ref": "aharless/averaging-my-linear-ensemble-with-simple-svm", "kernel_id": "241714"}, {"ref": "aharless/automatic-linear-model-weighting-and-svm", "kernel_id": "242576"}, {"ref": "aharless/using-nonlinear-prediction-algorithms", "kernel_id": "245106"}, {"ref": "aharless/linear-ensemble-and-svm-script-version", "kernel_id": "245278"}, {"ref": "aharless/predicting-house-prices-linear-ensemble-and-svm", "kernel_id": "245262"}, {"ref": "aharless/amit-choudhary-s-kernel-notebook-ified", "kernel_id": "247120"}, {"ref": "taoran1/regularized-linear-models", "kernel_id": "171237"}, {"ref": "hminle/notebookc62ac9d721", "kernel_id": "259348"}, {"ref": "venkateshwarj/house-prices-eda", "kernel_id": "225804"}, {"ref": "venkateshwarj/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "225808"}, {"ref": "jmack2090/notebook7bff0628fd", "kernel_id": "182314"}, {"ref": "jmack2090/notebook7166fb341f", "kernel_id": "182311"}, {"ref": "jcclose1/regularized-linear-models", "kernel_id": "173911"}, {"ref": "manfeyn/notebookeafa45c179", "kernel_id": "212505"}, {"ref": "macolddonald/boston", "kernel_id": "166010"}, {"ref": "joylinjj/housepricing", "kernel_id": "868827"}, {"ref": "rahulbeniwal/house-prices-advanced-regression-techniques", "kernel_id": "230715"}, {"ref": "wtjw1993/house-prices-predictions-using-random-forest", "kernel_id": "521611"}, {"ref": "alxdbs/data-analysis", "kernel_id": "257192"}, {"ref": "xin163/notebook307d3e15d1", "kernel_id": "171545"}, {"ref": "xin163/notebook327431bb13", "kernel_id": "171931"}, {"ref": "omernivr/filling-up-missing-values", "kernel_id": "166848"}, {"ref": "haithamf/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "183757"}, {"ref": "haithamf/xgboost-with-n-trees-autostop-0-12638", "kernel_id": "185673"}, {"ref": "kefortney/house-prices-advanced-regression-techniques", "kernel_id": "198944"}, {"ref": "xbmatrix/houseprices-xgboost", "kernel_id": "227289"}, {"ref": "xbmatrix/notebooke18bce58c8", "kernel_id": "227284"}, {"ref": "xbmatrix/notebook061b72c558", "kernel_id": "227206"}, {"ref": "coppermind/notebook33d7e3b2ce", "kernel_id": "166863"}, {"ref": "kittinook/notebook1d6bf937e4", "kernel_id": "197305"}, {"ref": "moonydeco/welcome-to-data-science-in-r-model-building", "kernel_id": "904567"}, {"ref": "xd1234/notebook885cbe8c0d", "kernel_id": "177869"}, {"ref": "xd1234/notebookac9e0abf02", "kernel_id": "178139"}, {"ref": "xd1234/notebook77ef7cd61c", "kernel_id": "178140"}, {"ref": "xd1234/notebook32b7b6a4a5", "kernel_id": "177341"}, {"ref": "lavanya123/imputation-and-fit-with-regression", "kernel_id": "180810"}, {"ref": "lavanya123/detailed-data-cleaning-and-imputation-de932fff", "kernel_id": "179987"}, {"ref": "lavanya123/detailed-data-cleaning-and-imputation-5b53f5c0", "kernel_id": "180263"}, {"ref": "lavanya123/detailed-data-cleaning-and-imputation", "kernel_id": "179079"}, {"ref": "lavanya123/updated-xgboost-with-parameter-tuning", "kernel_id": "238867"}, {"ref": "anthonysull/notebook064cf3d6eb", "kernel_id": "181151"}, {"ref": "shoubakka/house-price-analysis", "kernel_id": "167433"}, {"ref": "brirush/housing-costs-with-linear-regression", "kernel_id": "173060"}, {"ref": "dexteropolis/notebookd60b23daa1", "kernel_id": "191996"}, {"ref": "jamesji/notebook8cfee58570", "kernel_id": "171431"}, {"ref": "jamesji/regularized-linear-models", "kernel_id": "171424"}, {"ref": "jamesji/just-practicing", "kernel_id": "171421"}, {"ref": "jamesji/notebook3766c17a8a", "kernel_id": "171422"}, {"ref": "qwe51006/r-data-analysis", "kernel_id": "175154"}, {"ref": "qwe51006/notebook19567aebbc", "kernel_id": "185164"}, {"ref": "qwe51006/house-prices-dealing-with-the-missing-data", "kernel_id": "185145"}, {"ref": "qwe51006/r-deep-neural-network", "kernel_id": "971070"}, {"ref": "deedidi/regularized-linear-models", "kernel_id": "178579"}, {"ref": "deedidi/housing-price", "kernel_id": "177348"}, {"ref": "deedidi/housing-price-python", "kernel_id": "177355"}, {"ref": "vokirill/filling-up-missing-values", "kernel_id": "191792"}, {"ref": "ronsar/notebookc03f360685", "kernel_id": "193164"}, {"ref": "ronsar/house-price-prediction", "kernel_id": "193188"}, {"ref": "asdftoger/boston-housing-regression", "kernel_id": "319314"}, {"ref": "valencar/notebook260313ed3c", "kernel_id": "242929"}, {"ref": "yimyamer/notebookf1dc715690", "kernel_id": "168829"}, {"ref": "adamgardner/notebook7511193050", "kernel_id": "209216"}, {"ref": "hanaatucl/2-14-bug-0db8bd", "kernel_id": "185377"}, {"ref": "hanaatucl/notebook4e4587d80d", "kernel_id": "185382"}, {"ref": "hanaatucl/notebook924190c576", "kernel_id": "184656"}, {"ref": "hanaatucl/2-14-bug", "kernel_id": "184788"}, {"ref": "hanaatucl/notebook819a6d52a8", "kernel_id": "183985"}, {"ref": "hanaatucl/notebookec9711bd7c", "kernel_id": "183987"}, {"ref": "rhldey30/my-first-machine-learning-model", "kernel_id": "933147"}, {"ref": "vcmori/notebooka39057a424", "kernel_id": "190252"}, {"ref": "thedean/welcome-to-data-science-in-r-workbook", "kernel_id": "575720"}, {"ref": "rybalkin/notebook0b3e9f6753", "kernel_id": "210876"}, {"ref": "flyboy/exploring-features-and-regression-models-123650a2", "kernel_id": "170460"}, {"ref": "flyboy/exploring-features-and-regression-models-388c3a64", "kernel_id": "170464"}, {"ref": "flyboy/exploring-features-and-regression-models-1352a4b3", "kernel_id": "170465"}, {"ref": "flyboy/exploring-features-and-regression-models", "kernel_id": "170303"}, {"ref": "flyboy/exploring-features-and-regression-models-24487086", "kernel_id": "170895"}, {"ref": "flyboy/exploring-features-and-regression-models-170d309d", "kernel_id": "170897"}, {"ref": "flyboy/exploring-features-and-regression-models-64ffd897", "kernel_id": "170891"}, {"ref": "snthpy/filling-up-missing-values", "kernel_id": "170021"}, {"ref": "hang17/fork-of-predicting-housing-prices", "kernel_id": "189284"}, {"ref": "hang17/testing", "kernel_id": "184141"}, {"ref": "hang17/notebook1685ae18c9", "kernel_id": "220793"}, {"ref": "daisukemaeda/random-forest-with-glm-boosting", "kernel_id": "235624"}, {"ref": "leiwei/notebook76f899aab9", "kernel_id": "172056"}, {"ref": "edencakir/beginner-s-notebook", "kernel_id": "324101"}, {"ref": "edencakir/house-prices-data-exploration-and-visualisation", "kernel_id": "323988"}, {"ref": "wyyualan/notebook82d017ebc3", "kernel_id": "170941"}, {"ref": "sudhir51/comprehensive-data-exploration-with-python", "kernel_id": "393059"}, {"ref": "zourui0228/house-prices-data-exploration-and-visualisation", "kernel_id": "175546"}, {"ref": "kmostafa89/stacked-regressions", "kernel_id": "486442"}, {"ref": "phongkhacdo/comprehensive-data-exploration-with-python", "kernel_id": "195996"}, {"ref": "bollarampavan/selecting-and-filtering-in-pandas", "kernel_id": "902541"}, {"ref": "paulinakoutsaki/plotting-all-data", "kernel_id": "190516"}, {"ref": "hancelpv/house-price-regression-xgboost-regressor", "kernel_id": "974051"}, {"ref": "fruscillo/house-price", "kernel_id": "198893"}, {"ref": "fruscillo/notebookf7ecec6a1c", "kernel_id": "197964"}, {"ref": "vishnusai0698/my-model-d36397", "kernel_id": "511130"}, {"ref": "pitbullfan/notebook9d4d737433", "kernel_id": "171990"}, {"ref": "snowynight/notebook8aa2fa3116", "kernel_id": "172090"}, {"ref": "snowynight/notebook9db461df1c", "kernel_id": "196451"}, {"ref": "snowynight/notebookc56edadca8", "kernel_id": "196448"}, {"ref": "jiimmy/price-prediction", "kernel_id": "175259"}, {"ref": "liyuanzh/top-22-regularized-linear-regression", "kernel_id": "425698"}, {"ref": "jay11ca39/notebook87365d6a23", "kernel_id": "174226"}, {"ref": "jiaweitan/notebookdb94188b82", "kernel_id": "228648"}, {"ref": "joerydv/housing-prices-eda", "kernel_id": "270476"}, {"ref": "dglumac/notebook62022a33e6", "kernel_id": "186233"}, {"ref": "dglumac/ols-submission", "kernel_id": "186234"}, {"ref": "dglumac/using-a-basic-linear-regression-model", "kernel_id": "191240"}, {"ref": "khonsu/my-model", "kernel_id": "667418"}, {"ref": "fabiaforever/comprehensive-data-exploration-with-python", "kernel_id": "340318"}, {"ref": "marvin01/regularized-linear-models", "kernel_id": "178109"}, {"ref": "johnoliverjones/house-prices-data-exploration-and-visualisation", "kernel_id": "175048"}, {"ref": "johnoliverjones/notebook088291532d", "kernel_id": "188863"}, {"ref": "flingdog/notebook1dece6a095", "kernel_id": "227313"}, {"ref": "flingdog/notebookc2d1adc972", "kernel_id": "227992"}, {"ref": "flingdog/notebook7695dc3ba1", "kernel_id": "219690"}, {"ref": "flingdog/notebook6fc7efa22c", "kernel_id": "219694"}, {"ref": "fox10225fox/ridge-regression", "kernel_id": "338110"}, {"ref": "fox10225fox/lasso-regression", "kernel_id": "338163"}, {"ref": "jshalabi/regularized-linear-models", "kernel_id": "178412"}, {"ref": "dk13093/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "255905"}, {"ref": "pimppm5/regularized-linear-models", "kernel_id": "196171"}, {"ref": "pimppm5/comprehensive-data-exploration-with-python", "kernel_id": "196168"}, {"ref": "pimppm5/exploring-features-and-regression-models", "kernel_id": "196176"}, {"ref": "pimppm5/pca-and-regression", "kernel_id": "196174"}, {"ref": "eva717yifan/notebook956c97df49", "kernel_id": "180694"}, {"ref": "mrnoone/detailed-data-exploration-angela-s-script-in-r", "kernel_id": "178933"}, {"ref": "ayakhemir/notebookab94310317", "kernel_id": "174212"}, {"ref": "justbringit/2-17-bugg", "kernel_id": "187001"}, {"ref": "zhennanhuang/lasso-model-for-regression-problem", "kernel_id": "196891"}, {"ref": "anushah1411/my-first-machine-learning-model", "kernel_id": "683888"}, {"ref": "mattwright/xgboost-with-n-trees-autostop-0-12638", "kernel_id": "176777"}, {"ref": "rakyfeng/comprehensive-data-exploration-with-python-77874f", "kernel_id": "552012"}, {"ref": "hoangnguyen3892/comprehensive-data-exploration-with-python", "kernel_id": "193864"}, {"ref": "minsoo91/regularized-practice-2", "kernel_id": "264548"}, {"ref": "bhonpromrat/regularized-linear-models", "kernel_id": "174861"}, {"ref": "letiziatrinca/notebookf639337d18", "kernel_id": "176596"}, {"ref": "letiziatrinca/xgboost-lasso", "kernel_id": "176574"}, {"ref": "letiziatrinca/nonempty2", "kernel_id": "177367"}, {"ref": "letiziatrinca/nonemptyfin", "kernel_id": "177376"}, {"ref": "letiziatrinca/nonemptyfin3", "kernel_id": "177387"}, {"ref": "olabowale/kaggle-machine-learning-tutorial", "kernel_id": "670394"}, {"ref": "ayudhhande/notebook99fa21b721", "kernel_id": "230364"}, {"ref": "sisodiasaurabh22/notebooke4e4652b60", "kernel_id": "212135"}, {"ref": "enland22/notebook62b82a9cd5", "kernel_id": "198190"}, {"ref": "chandramuramalla/notebook8b3afac0c9", "kernel_id": "226422"}, {"ref": "kamranq/extremely-basic-data-exploration", "kernel_id": "306620"}, {"ref": "housingteamcuboulder/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "176770"}, {"ref": "housingteamcuboulder/regularized-linear-models-7d4adbd7", "kernel_id": "176740"}, {"ref": "housingteamcuboulder/regularized-linear-models", "kernel_id": "176732"}, {"ref": "housingteamcuboulder/regularized-linear-models-b87ddb7b", "kernel_id": "176733"}, {"ref": "b0untyhunter/xgboost-lasso", "kernel_id": "176354"}, {"ref": "alvysinger/pca-and-regression-fork", "kernel_id": "188725"}, {"ref": "mkaiser101/house-prices-data-exploration-and-visualisation", "kernel_id": "182835"}, {"ref": "fenix0/notebookdf029fe284", "kernel_id": "220473"}, {"ref": "fenix0/notebook97d2bb5e1c", "kernel_id": "220474"}, {"ref": "eugen1701/notebook3266a03ddf", "kernel_id": "176835"}, {"ref": "paujon/notebookaa46462000", "kernel_id": "189887"}, {"ref": "paujon/learning-and-testing-stuff", "kernel_id": "190790"}, {"ref": "devet80/notebook2f8f67bfdb", "kernel_id": "213739"}, {"ref": "amassachi/test-script", "kernel_id": "225611"}, {"ref": "amassachi/get-ahead-with-this-simple-guide-python-3", "kernel_id": "253387"}, {"ref": "lah0907/house-price-xgboost-starter", "kernel_id": "241828"}, {"ref": "lah0907/regularized-linear-models", "kernel_id": "242554"}, {"ref": "lah0907/xgboost-10-kfolds-with-scikit-learn", "kernel_id": "242561"}, {"ref": "reshmapatel/selecting-and-filtering-in-pandas", "kernel_id": "891770"}, {"ref": "chaochengli/notebookc65e8f23c2", "kernel_id": "234871"}, {"ref": "chaochengli/house-price-regression", "kernel_id": "237274"}, {"ref": "chaochengli/notebookb5d0922923", "kernel_id": "238045"}, {"ref": "chaochengli/house-regression", "kernel_id": "238048"}, {"ref": "rainmanbj/comprehensive-data-exploration-with-python", "kernel_id": "206147"}, {"ref": "wykret/notebook26056815c3", "kernel_id": "239860"}, {"ref": "wykret/notebookeeb6df54df", "kernel_id": "239862"}, {"ref": "loveoobaby/comprehensive-data-exploration-with-python", "kernel_id": "191583"}, {"ref": "ppeetteerrs/notebook37a2b4b67c", "kernel_id": "243708"}, {"ref": "sushantb/fork-of-notebook988b3c60ce", "kernel_id": "194948"}, {"ref": "sushantb/fork-of-notebook988b3c60ce-53ba9d", "kernel_id": "194952"}, {"ref": "sushantb/notebook44ff666fd4", "kernel_id": "188019"}, {"ref": "sushantb/notebook22db543746", "kernel_id": "188015"}, {"ref": "sushantb/notebook201a683d85", "kernel_id": "188016"}, {"ref": "sushantb/notebook59f65c049f", "kernel_id": "188002"}, {"ref": "sushantb/regression-housing-data", "kernel_id": "188003"}, {"ref": "fpsawicki/house-prices-imputing-and-predicting", "kernel_id": "225947"}, {"ref": "jiannanzhang1992/quick-tutorial-on-xgboost-rf", "kernel_id": "186808"}, {"ref": "abeym1/my-first-machine-learning-model", "kernel_id": "704611"}, {"ref": "kaihei/notebook2288153747", "kernel_id": "184263"}, {"ref": "yazeedalrubyli/predicting-houses-with-deep-learning", "kernel_id": "224644"}, {"ref": "stuartsmith/eda-for-house-prices", "kernel_id": "183583"}, {"ref": "stuartsmith/house-price-xgboost-starter", "kernel_id": "184102"}, {"ref": "stuartsmith/notebookd2f072117f", "kernel_id": "187380"}, {"ref": "mengjiezheng/price-for-house", "kernel_id": "255828"}, {"ref": "shaniaha/data-prep-and-lasso", "kernel_id": "185328"}, {"ref": "vivagable/notebook68b7e6612f", "kernel_id": "335458"}, {"ref": "claudiocastello/novice-house-prices-prediction", "kernel_id": "284841"}, {"ref": "d0cent/enter-to-the-top-10-results-in-leader-board", "kernel_id": "537514"}, {"ref": "wii8309/notebookcb688e402f", "kernel_id": "186316"}, {"ref": "wii8309/regularized-linear-models", "kernel_id": "186317"}, {"ref": "adeintx/house-price-prediction-with-ridge-regression", "kernel_id": "440362"}, {"ref": "shreyas3108/house-price-keras-prediction", "kernel_id": "527838"}, {"ref": "dskokleenko/notebook7eb9f8187a", "kernel_id": "236416"}, {"ref": "macr3115/notebookda20e39352", "kernel_id": "197731"}, {"ref": "macr3115/housing-prices-competition", "kernel_id": "197871"}, {"ref": "macr3115/notebook43f904cad5", "kernel_id": "195387"}, {"ref": "venatorgr/simple-linear-regression-model-on-house-prices", "kernel_id": "181234"}, {"ref": "prinsh/notebook01c79c8513", "kernel_id": "234707"}, {"ref": "homerawesome/fork-of-notebookb31497db50", "kernel_id": "187447"}, {"ref": "wchxu96/notebook69ba14ef68", "kernel_id": "212824"}, {"ref": "wchxu96/fork-of-hello-kaggle", "kernel_id": "212833"}, {"ref": "wchxu96/notebook138882a72b", "kernel_id": "212194"}, {"ref": "wchxu96/trysomeidea", "kernel_id": "215436"}, {"ref": "wchxu96/first-time-in-kaggle", "kernel_id": "235753"}, {"ref": "ajniggles/data-wrangling", "kernel_id": "210864"}, {"ref": "ajniggles/ga-with-a-game-of-thrones-heuristic", "kernel_id": "210239"}, {"ref": "pontkung/testtt", "kernel_id": "181575"}, {"ref": "saeiddadkhah/pyhome01", "kernel_id": "207689"}, {"ref": "aristedem/detailed-data-analysis-ensemble-modeling", "kernel_id": "229972"}, {"ref": "dhrumilvora93/my-first-machine-learning-model", "kernel_id": "988084"}, {"ref": "diogo22santos/starting-your-ml-project-6e4150", "kernel_id": "550097"}, {"ref": "amrutana/notebook1a3350dd23", "kernel_id": "195312"}, {"ref": "pravink/notebook31a3555a4f", "kernel_id": "182511"}, {"ref": "pravink/house-prices-data-exploration-and-visualisation", "kernel_id": "190018"}, {"ref": "kishu6/regularized-linear-models", "kernel_id": "182529"}, {"ref": "chenxu10/notebook1400aad545", "kernel_id": "224568"}, {"ref": "shaunakganguly/housepriceindex-vajra", "kernel_id": "186383"}, {"ref": "hrxufly/pca-and-regression", "kernel_id": "185991"}, {"ref": "hrxufly/pca-and-regression-de3774", "kernel_id": "189497"}, {"ref": "kg5284/zillow-prediction", "kernel_id": "426250"}, {"ref": "sonakshi19/eda-for-houseprices", "kernel_id": "351709"}, {"ref": "peyo9164/python-data-exploration", "kernel_id": "194633"}, {"ref": "peyo9164/regularized-linear-models", "kernel_id": "194637"}, {"ref": "peyo9164/simple-lasso", "kernel_id": "194641"}, {"ref": "peyo9164/simple-lasoo-script", "kernel_id": "194642"}, {"ref": "alnassirah/notebook6e97296eeb", "kernel_id": "184281"}, {"ref": "bghazy/notebook528201cfca", "kernel_id": "217729"}, {"ref": "th3ed1/first-submission", "kernel_id": "258008"}, {"ref": "liuyang1/house-pricing", "kernel_id": "184679"}, {"ref": "aimblack/comprehensive-data-exploration-with-python-a8cc41", "kernel_id": "269328"}, {"ref": "mirko76/notebook6c306c3131", "kernel_id": "244984"}, {"ref": "mirko76/first", "kernel_id": "242960"}, {"ref": "mirko76/notebook9ee0d68cd2", "kernel_id": "242275"}, {"ref": "hconner2/notebook09db2e1eff", "kernel_id": "220068"}, {"ref": "yfsoccer/regularized-linear-models", "kernel_id": "186779"}, {"ref": "manish11n/notebook7bd5ccb76d", "kernel_id": "226574"}, {"ref": "jiangzju/notebook750a6e5c18", "kernel_id": "230901"}, {"ref": "miaohengyuan/fork-of-notebookb31497db50", "kernel_id": "190217"}, {"ref": "nupursh/house-prices-prediction", "kernel_id": "900220"}, {"ref": "wolewo/regularized-linear-models", "kernel_id": "190499"}, {"ref": "cjlarson/house-regression-exploration", "kernel_id": "405045"}, {"ref": "yiyuanliu/notebookdf3af79b2e", "kernel_id": "271055"}, {"ref": "matan1965/notebookd32880e5b4", "kernel_id": "215708"}, {"ref": "matan1965/notebookbf7c19059d", "kernel_id": "215666"}, {"ref": "fenggoahead/notebookc1be92012f", "kernel_id": "230625"}, {"ref": "jeffsen/predict-house-saleprice-by-python", "kernel_id": "216259"}, {"ref": "jeffsen/predict-house-saleprice-by-linearregression", "kernel_id": "217154"}, {"ref": "machazthegamer/regularized-linear-models", "kernel_id": "196760"}, {"ref": "suebose001/notebook9c8ba6b3f3", "kernel_id": "186961"}, {"ref": "navasardyan/regularized-linear-models-b0c7e3", "kernel_id": "188182"}, {"ref": "navasardyan/regularized-linear-models", "kernel_id": "187776"}, {"ref": "navasardyan/comprehensive-data-exploration-with-python", "kernel_id": "188200"}, {"ref": "edmccaffrey/notebook9b704903b5", "kernel_id": "187234"}, {"ref": "ssteve/test-kernel", "kernel_id": "224917"}, {"ref": "pyobro/house-prices-practice-pedro", "kernel_id": "211145"}, {"ref": "ionutiliescu/feature-engineering-scaling-pca-and-predictions", "kernel_id": "267284"}, {"ref": "ionutiliescu/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "264408"}, {"ref": "aveekroy/notebookc044f9c159", "kernel_id": "206310"}, {"ref": "aveekroy/sales-prediction", "kernel_id": "212305"}, {"ref": "aveekroy/notebook914d2f96d3", "kernel_id": "209677"}, {"ref": "shrutishah/notebookb97d81710d", "kernel_id": "190779"}, {"ref": "shihwei/predicting-house-prices-using-lm", "kernel_id": "195294"}, {"ref": "aaverchenkova/notebook5aa418802f", "kernel_id": "223959"}, {"ref": "blomhav/regularized-linear-models", "kernel_id": "190126"}, {"ref": "blomhav/detailed-data-exploration-in-python", "kernel_id": "190317"}, {"ref": "shawn158/comprehensive-data-exploration-with-python", "kernel_id": "208466"}, {"ref": "eiru123/detailed-exploratory-data-analysis-using-r", "kernel_id": "191130"}, {"ref": "louisdevitry/detailed-exploratory-data-analysis-using-r", "kernel_id": "191036"}, {"ref": "anguscc/house-prices-data-exploration-and-visualisation", "kernel_id": "213303"}, {"ref": "oyster385/regularized-linear-models", "kernel_id": "190297"}, {"ref": "liyenhsu/feature-selection-and-ensemble-of-5-models", "kernel_id": "292861"}, {"ref": "michaelkang/housing-regression-with-ensembles", "kernel_id": "230324"}, {"ref": "michaelkang/notebookbd1da218aa", "kernel_id": "223178"}, {"ref": "michaelkang/notebook9490834077", "kernel_id": "209991"}, {"ref": "yohanb/t-sne-bokeh", "kernel_id": "253122"}, {"ref": "ethangela/notebook8e6dca6b30", "kernel_id": "194487"}, {"ref": "ethangela/tests", "kernel_id": "199644"}, {"ref": "ethangela/young-sun-test", "kernel_id": "199478"}, {"ref": "ethangela/notebooke6172e9f7a", "kernel_id": "199448"}, {"ref": "bigcat100/notebooke4558e703a", "kernel_id": "191233"}, {"ref": "gleonoliva/notebookd819894ac1", "kernel_id": "192510"}, {"ref": "nicolivesey/stacking-model-lasso-ridge-enet-xgboost", "kernel_id": "527298"}, {"ref": "freon64/house-prices-eda", "kernel_id": "192005"}, {"ref": "viro55/notebookf42e493c15", "kernel_id": "192209"}, {"ref": "yuvalana/pca-and-regression-a7b20e", "kernel_id": "196847"}, {"ref": "ronjondonson/notebookab45509cd5", "kernel_id": "199489"}, {"ref": "sushiltatacapital/notebookc30fb72c2d", "kernel_id": "194924"}, {"ref": "neomatrix/hp-rf", "kernel_id": "235570"}, {"ref": "neomatrix/random-forrest", "kernel_id": "235609"}, {"ref": "xagoogo/regularized-linear-models", "kernel_id": "192755"}, {"ref": "divya016/pca-and-regression", "kernel_id": "195696"}, {"ref": "karankankrate/house-price-prediction-model-01", "kernel_id": "839874"}, {"ref": "zzzhacker/xgboost-lasso-ridge-models", "kernel_id": "243104"}, {"ref": "bjaeck/housing-prices-using-different-predictive-models", "kernel_id": "262179"}, {"ref": "lukaszs/house-prices", "kernel_id": "276137"}, {"ref": "lukaszs/notebookd571a05a5b", "kernel_id": "276181"}, {"ref": "zhangyuhanjc/notebook4aecd84324", "kernel_id": "231111"}, {"ref": "cherie123/practice-for-house-prices", "kernel_id": "306466"}, {"ref": "vamsi023/notebook022bb2f5c1", "kernel_id": "234320"}, {"ref": "vamsi023/prediction-of-sales", "kernel_id": "231264"}, {"ref": "autumnsun/notebook8abf68fc15", "kernel_id": "203505"}, {"ref": "nudter/regularized-linear-models", "kernel_id": "194674"}, {"ref": "jiangkunliu/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "205013"}, {"ref": "nikhilpandey360/notebookb546bec834", "kernel_id": "226688"}, {"ref": "chaudharishalmali/house-price-prdiction", "kernel_id": "233211"}, {"ref": "chaudharishalmali/notebook495f32cc2b", "kernel_id": "233207"}, {"ref": "plarmuseau/simple-regress", "kernel_id": "198810"}, {"ref": "zisean/notebook4434a7650e", "kernel_id": "235984"}, {"ref": "zisean/data-prediction", "kernel_id": "235986"}, {"ref": "heping/fork-of-price-prediction", "kernel_id": "252020"}, {"ref": "datasayo/house-price-xgboost-starter", "kernel_id": "232863"}, {"ref": "sabril/test-kernel", "kernel_id": "249090"}, {"ref": "hadasa/regularized-linear-models", "kernel_id": "195578"}, {"ref": "hadasa/regularized-linear-models-d831bf", "kernel_id": "195579"}, {"ref": "yyj131622/detailed-data-analysis-ensemble-modeling", "kernel_id": "247464"}, {"ref": "vedapragnareddy/first-submission", "kernel_id": "231906"}, {"ref": "lamlam009/my-model", "kernel_id": "506154"}, {"ref": "lamlam009/notebookdc1b7a7d36", "kernel_id": "511962"}, {"ref": "xinkou/notebook852c27e17d", "kernel_id": "224836"}, {"ref": "mttzju/test1", "kernel_id": "211237"}, {"ref": "mttzju/notebookcecb0f6747", "kernel_id": "211076"}, {"ref": "kamal2611/notebook85b7ecfed7", "kernel_id": "196743"}, {"ref": "jianyu/notebook543ed14b0d", "kernel_id": "212959"}, {"ref": "jianyu/house-predict", "kernel_id": "214581"}, {"ref": "jianyu/second", "kernel_id": "220894"}, {"ref": "haska1/notebookb3a8620c46", "kernel_id": "196997"}, {"ref": "sreepriyankau/notebook6ead855c71", "kernel_id": "224168"}, {"ref": "jrishabh/notebookf8de3a2146", "kernel_id": "210305"}, {"ref": "yangyn/notebook754c3edf03", "kernel_id": "221414"}, {"ref": "bzsjr916/notebook5782fadef1", "kernel_id": "211230"}, {"ref": "ilmaurino/notebookbe992f37fc", "kernel_id": "266457"}, {"ref": "jordandejong/house-price-prediction", "kernel_id": "203907"}, {"ref": "fonsies/notebook845c6196a1", "kernel_id": "218084"}, {"ref": "aoifebyrne/notebook1900d89fcb", "kernel_id": "226874"}, {"ref": "testing22/regularized-linear-models", "kernel_id": "198476"}, {"ref": "g12megha/housing-price-prediction", "kernel_id": "262613"}, {"ref": "g12megha/housingprice", "kernel_id": "277100"}, {"ref": "sampletext/house-prices", "kernel_id": "226137"}, {"ref": "akhira/notebookb3fd434b22", "kernel_id": "253522"}, {"ref": "manjunath249/gradient-descent", "kernel_id": "199264"}, {"ref": "canwaals/notebook2d3250c953", "kernel_id": "214661"}, {"ref": "pypuppy/notebook7603334364", "kernel_id": "218649"}, {"ref": "prabhakarpandey/notebook8bec7f6516", "kernel_id": "272505"}, {"ref": "lxghust/notebook8ab4a37d67", "kernel_id": "236261"}, {"ref": "czw123/notebookc6602e2ba8", "kernel_id": "216272"}, {"ref": "wubingbing13/comprehensive-data-exploration-with-python", "kernel_id": "211989"}, {"ref": "divivoma/my-first-notebook-on-house-pricing-extimation", "kernel_id": "211466"}, {"ref": "divivoma/my-first-logistic-regression-test", "kernel_id": "216759"}, {"ref": "divivoma/housepredictionv1", "kernel_id": "215856"}, {"ref": "hyang36/naive-linear-regression", "kernel_id": "204826"}, {"ref": "hyang36/notebookafaa28593e", "kernel_id": "216935"}, {"ref": "zhumin/sklearn-first-taste", "kernel_id": "573313"}, {"ref": "zldeng27/housepredict", "kernel_id": "211094"}, {"ref": "lijch9/filling-up-missing-values", "kernel_id": "204060"}, {"ref": "kunlaotou/notebook3d308db210", "kernel_id": "228578"}, {"ref": "tobi2000/start-houseprices", "kernel_id": "256203"}, {"ref": "akosciansky/house-price-predictions-complete-walkthrough", "kernel_id": "916384"}, {"ref": "akosciansky/eda-pipeline-for-fast-exploration", "kernel_id": "965123"}, {"ref": "minlu0306/house-price-prediction", "kernel_id": "348548"}, {"ref": "vk4503/notebook98dfca93e6", "kernel_id": "260060"}, {"ref": "cmlaughing/house-price-prediction-for-first-time", "kernel_id": "251590"}, {"ref": "cdnguyen1994/notebookd2a0fb94b2", "kernel_id": "218488"}, {"ref": "cdnguyen1994/comprehensive-data-exploration-with-python", "kernel_id": "218492"}, {"ref": "shantanuladhwe/r-with-vif-and-p-values", "kernel_id": "534534"}, {"ref": "madislemsalu/linear-ensemble-and-svm-script-version", "kernel_id": "247493"}, {"ref": "viktorng71/notebookabf1ca43d0", "kernel_id": "209414"}, {"ref": "nesterovml/house-prices-regression", "kernel_id": "214277"}, {"ref": "francoisolivier/prix-des-maisons", "kernel_id": "204266"}, {"ref": "francoisolivier/homecheaphome", "kernel_id": "204270"}, {"ref": "francoisolivier/homecheaphomer2", "kernel_id": "204283"}, {"ref": "francoisolivier/homecheaphomer-linear-model", "kernel_id": "204278"}, {"ref": "francoisolivier/homecheaphomer-learning-tree", "kernel_id": "204378"}, {"ref": "francoisolivier/homecheaphomecleaningdata", "kernel_id": "205399"}, {"ref": "francoisolivier/homecheaphomer3", "kernel_id": "206274"}, {"ref": "ankiijindae/regression-on-housing-prices", "kernel_id": "425949"}, {"ref": "elephantdee/notebook0c77831b6d", "kernel_id": "242626"}, {"ref": "evangelize/notebook4db02b13a0", "kernel_id": "211892"}, {"ref": "jayeetachakraborty/house-prices", "kernel_id": "227445"}, {"ref": "jayniti/a-study-on-regression-applied-to-the-ames-d-ed757a", "kernel_id": "272542"}, {"ref": "shraddhak102/notebook3178bf2674", "kernel_id": "258846"}, {"ref": "wiggin/detailed-exploratory-data-analysis-using-r", "kernel_id": "203925"}, {"ref": "prateek0608/comprehensive-data-exploration-with-python", "kernel_id": "209707"}, {"ref": "ayushexel/my-first-machine-learning-model", "kernel_id": "998168"}, {"ref": "brkurzawa/gradient-boosting-regression", "kernel_id": "741857"}, {"ref": "creiser/house-prices", "kernel_id": "219649"}, {"ref": "atishsmore/mfmlm-on-kaggle-dataframes", "kernel_id": "878969"}, {"ref": "goodmansjtu/house-price-with-spark", "kernel_id": "269084"}, {"ref": "dralmostright/gradient-boost-regression-model-tuning-submit", "kernel_id": "716549"}, {"ref": "sriharinitumu/xgboost-mice-implementation-in-r", "kernel_id": "246654"}, {"ref": "fahrenheitppp/ridge-regression-webinterpret", "kernel_id": "246422"}, {"ref": "jjackson/notebookcc5aca4e7e", "kernel_id": "205646"}, {"ref": "michaelmcfarlane/my-first-machine-learning-model", "kernel_id": "897348"}, {"ref": "ishan001/practice-model", "kernel_id": "822460"}, {"ref": "andyzhang92/notebookb1caa2689a", "kernel_id": "216888"}, {"ref": "aachandler/notebook31c5665c22", "kernel_id": "209833"}, {"ref": "joey0113/detailed-data-analysis-ensemble-modeling", "kernel_id": "289260"}, {"ref": "ricardopinto/comprehensive-data-exploration-with-python", "kernel_id": "208104"}, {"ref": "sparky42/my-model-07f3b1", "kernel_id": "640123"}, {"ref": "qizhuchuanghongdeng/notebooka4d46dfed0", "kernel_id": "206035"}, {"ref": "kent119/comprehensive-data-exploration-with-python", "kernel_id": "218942"}, {"ref": "kent119/notebook8b4c24559c", "kernel_id": "226348"}, {"ref": "kent119/stacking-starter-for-house-pricing", "kernel_id": "226349"}, {"ref": "tetyanal/learninghouses", "kernel_id": "230732"}, {"ref": "czfshine/notebook39b249bb36", "kernel_id": "218970"}, {"ref": "czfshine/notebook3e552e5bec", "kernel_id": "218884"}, {"ref": "czfshine/notebookbc528a4b4a", "kernel_id": "217212"}, {"ref": "eikedehling/top-10-with-svm-and-linear-regression", "kernel_id": "243813"}, {"ref": "kamal17/notebook77325163f3", "kernel_id": "213133"}, {"ref": "dsaini306/comprehensive-data-exploration-with-python", "kernel_id": "247863"}, {"ref": "velokaggle/simple-preprocessing-and-modeling", "kernel_id": "340294"}, {"ref": "velokaggle/overview-simple-preprocessing-and-modeling", "kernel_id": "339525"}, {"ref": "simplex7/notebooke5fc68d90e", "kernel_id": "215692"}, {"ref": "simplex7/notebook3f779ff3c3", "kernel_id": "215694"}, {"ref": "bingohong/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "260338"}, {"ref": "yanggang/notebook88a9038589", "kernel_id": "223626"}, {"ref": "darshak7195/notebook64de021f20", "kernel_id": "232289"}, {"ref": "billster45/notebookfc58871048", "kernel_id": "208084"}, {"ref": "barbarap/notebook2ef32bf325", "kernel_id": "215581"}, {"ref": "toniwutong/notebook3673d68478", "kernel_id": "241487"}, {"ref": "wirehack/notebook4875f9a16b", "kernel_id": "208719"}, {"ref": "wirehack/ddfdsfs", "kernel_id": "208720"}, {"ref": "wirehack/price-regression", "kernel_id": "208991"}, {"ref": "wirehack/notebook01ce8284bf", "kernel_id": "209814"}, {"ref": "wirehack/notebook68709d8dbf", "kernel_id": "210240"}, {"ref": "wirehack/fdsfgd", "kernel_id": "210278"}, {"ref": "wirehack/fdsfsdfsdfsdf", "kernel_id": "210620"}, {"ref": "wirehack/yuiyiuyiyuiyug", "kernel_id": "210660"}, {"ref": "wirehack/gdfgdfgdgfgdf", "kernel_id": "210607"}, {"ref": "wirehack/rewrtewtwet", "kernel_id": "210594"}, {"ref": "wirehack/notebookfbff56ba18", "kernel_id": "210391"}, {"ref": "wirehack/notebook42c3d17c0a", "kernel_id": "210393"}, {"ref": "wirehack/fdsfsdfsd", "kernel_id": "211060"}, {"ref": "wirehack/gdfgdfgd", "kernel_id": "212278"}, {"ref": "wirehack/fsdfsdfsd", "kernel_id": "216229"}, {"ref": "wirehack/fdsfsdfdsfsdfsdf", "kernel_id": "216464"}, {"ref": "wirehack/gfdsgdfgfdgdfg", "kernel_id": "214618"}, {"ref": "wirehack/fsdfsdfsdfsdf", "kernel_id": "214571"}, {"ref": "wirehack/gfdgfdgfghfghfgh", "kernel_id": "217362"}, {"ref": "umeshdhanwal/stacking-starter", "kernel_id": "211593"}, {"ref": "chnhaoqiu/comprehensive-data-exploration-with-python", "kernel_id": "265595"}, {"ref": "jnasingleton/ensemble-of-4-models-with-cv-lb-0-11489-js", "kernel_id": "229716"}, {"ref": "phil2mcc/test-my", "kernel_id": "209016"}, {"ref": "skemeth/catboost-model", "kernel_id": "444083"}, {"ref": "zyedlol/regularized-linear-models-3c18b1", "kernel_id": "209160"}, {"ref": "mrcschwering/housing-prices-mars", "kernel_id": "244059"}, {"ref": "mrcschwering/housing-prices-data-exploration", "kernel_id": "228754"}, {"ref": "wangchengsi/hello-world", "kernel_id": "231168"}, {"ref": "hanekanna/notebookfc7bdd302d", "kernel_id": "212905"}, {"ref": "fracapponi87/saleprice-prediction-regress", "kernel_id": "271082"}, {"ref": "xyqmichelle/notebook884617b76a", "kernel_id": "209691"}, {"ref": "madhurlenka/5-day-data-challenge-day-2", "kernel_id": "478282"}, {"ref": "madhurlenka/5-day-data-challenge-day-1", "kernel_id": "472756"}, {"ref": "cgomes/first-try", "kernel_id": "228191"}, {"ref": "jiangpenghui/notebookdd056dcae0", "kernel_id": "210273"}, {"ref": "simonavril/why-is-this-notebook-so-bad", "kernel_id": "231185"}, {"ref": "piotrekw/notebooke84d3a9002", "kernel_id": "237607"}, {"ref": "piotrekw/notebookb60453b2d5", "kernel_id": "238347"}, {"ref": "narangrishab/your-first-scikit-learn-model", "kernel_id": "811334"}, {"ref": "narangrishab/model-validation", "kernel_id": "813666"}, {"ref": "narangrishab/submitting-from-a-kernel-098ca1", "kernel_id": "815119"}, {"ref": "narangrishab/random-forests", "kernel_id": "814967"}, {"ref": "narangrishab/underfitting-overfitting-and-model-optimiz-a6bdd0", "kernel_id": "813892"}, {"ref": "doox14/my-first-competitive-machine-learning-model", "kernel_id": "883378"}, {"ref": "yanjirglsm/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "263869"}, {"ref": "zezhong/comprehensive-data-exploration-test", "kernel_id": "221178"}, {"ref": "zezhong/notebook0c6af07912", "kernel_id": "227802"}, {"ref": "vladiz/housing-prices-1", "kernel_id": "235819"}, {"ref": "manoj11303867/analysis-and-modelling-of-house-prices-data", "kernel_id": "217695"}, {"ref": "danuriegas/comprehensive-data-exploration-with-python-e4c3b0", "kernel_id": "502185"}, {"ref": "rickyoung/notebookb58750ac11", "kernel_id": "211521"}, {"ref": "rickyoung/notebook13b6b74d53", "kernel_id": "211516"}, {"ref": "saidilipchinthada/detailed-exploratory-data-analysis-using-r", "kernel_id": "228530"}, {"ref": "jackie789/exploring-factors-affecting-the-sales-price", "kernel_id": "224038"}, {"ref": "tanghao/notebookc5df173d04", "kernel_id": "213026"}, {"ref": "abbystrellnauer/dataexploration-python", "kernel_id": "237897"}, {"ref": "nyc1893/notebook3011ab5977", "kernel_id": "235267"}, {"ref": "fg2vec/test1", "kernel_id": "212430"}, {"ref": "sanazehra/starting-your-ml-project", "kernel_id": "791178"}, {"ref": "flpxiao/first-attempt", "kernel_id": "216219"}, {"ref": "flpxiao/data-cleaning", "kernel_id": "216503"}, {"ref": "joyimusigma/notebookb31bbfa754", "kernel_id": "212921"}, {"ref": "joyimusigma/notebookcee736a4d9", "kernel_id": "212922"}, {"ref": "buer9402/house-prices", "kernel_id": "218963"}, {"ref": "buer9402/comprehensive-data-exploration-with-python", "kernel_id": "219005"}, {"ref": "buer9402/house-prices-regression", "kernel_id": "219035"}, {"ref": "buer9402/price-prediction", "kernel_id": "219541"}, {"ref": "buer9402/fork-of-price-prediction-e8b14e", "kernel_id": "219550"}, {"ref": "buer9402/fork-of-price-prediction", "kernel_id": "219535"}, {"ref": "buer9402/stacking-starter", "kernel_id": "240970"}, {"ref": "buer9402/lasso-model-for-regression-problem", "kernel_id": "238781"}, {"ref": "tdoan35/notebook2306acc186", "kernel_id": "218638"}, {"ref": "wbooth/notebook92638b5c91", "kernel_id": "218518"}, {"ref": "gnibuk/kaggle", "kernel_id": "218181"}, {"ref": "errard/notebook324b44c1d6", "kernel_id": "212779"}, {"ref": "errard/house-regression", "kernel_id": "214103"}, {"ref": "spacetrotter/notebook8b3e224d3a", "kernel_id": "212752"}, {"ref": "qweasddd/regularized-linear-models", "kernel_id": "219405"}, {"ref": "simosini/notebookc304459f02", "kernel_id": "228514"}, {"ref": "powder5/notebookd2d6d17a2b", "kernel_id": "278841"}, {"ref": "codenamev/an-amateur-s-road-to-a-high-lb-score", "kernel_id": "260701"}, {"ref": "brandymat/house-prices-first-try", "kernel_id": "214494"}, {"ref": "wjn1982/notebook9e83b18667", "kernel_id": "226269"}, {"ref": "ocsponge/price-prediction", "kernel_id": "216131"}, {"ref": "ocsponge/fork-of-price-prediction", "kernel_id": "215298"}, {"ref": "serigne/stacked-regressions-top-4-on-leaderboard", "kernel_id": "314923"}, {"ref": "jolyon1234/notebook0fb8a7c8fb", "kernel_id": "215114"}, {"ref": "jolyon1234/notebook9218fa2179", "kernel_id": "217485"}, {"ref": "raviswanath/notebookaa8a4ebadb", "kernel_id": "240136"}, {"ref": "raviswanath/predicting-house-prices", "kernel_id": "240137"}, {"ref": "alcren/my-first-machine-learning-model", "kernel_id": "836160"}, {"ref": "komomo83/house-prices-eda", "kernel_id": "225345"}, {"ref": "soloda/comprehensive-data-exploration-with-python", "kernel_id": "321956"}, {"ref": "winglog/notebook007ed109c1", "kernel_id": "214827"}, {"ref": "nikhil741/your-first-scikit-learn-model", "kernel_id": "416922"}, {"ref": "alexgkearney/test-no-1", "kernel_id": "226634"}, {"ref": "alexgkearney/notebooke3f72219f9", "kernel_id": "238858"}, {"ref": "biodefender/notebookfb65287888", "kernel_id": "215822"}, {"ref": "youseok/notebook38eb711260", "kernel_id": "248154"}, {"ref": "junsiklee/notebookd5c60dbfa6", "kernel_id": "227635"}, {"ref": "ldj6692240/housepricescript", "kernel_id": "268748"}, {"ref": "masayoshikitagawa/notebook59e85b5a53", "kernel_id": "245438"}, {"ref": "syamanthaka/my-first-machine-learning-model", "kernel_id": "727755"}, {"ref": "hubertxia/comprehensive-data-exploration-with-python", "kernel_id": "221545"}, {"ref": "turntrout/housing-price-prediction", "kernel_id": "220024"}, {"ref": "anuradhasadineni/notebookd02ea3871d", "kernel_id": "229102"}, {"ref": "adithyaram91/notebookd017c9613a", "kernel_id": "217296"}, {"ref": "keerthirbollam/predicting-house-prices-neural-networks", "kernel_id": "263373"}, {"ref": "wangpc1994/notebook77062505f6", "kernel_id": "243894"}, {"ref": "bluemoon22/wik-notebook-17-05-17", "kernel_id": "261472"}, {"ref": "cwang82/notebookdbfabbe531", "kernel_id": "245040"}, {"ref": "angelai/notebooke9e7d31690", "kernel_id": "216966"}, {"ref": "angelai/notebooka149621cb2", "kernel_id": "227373"}, {"ref": "angelai/notebookf2b2dcfa7f", "kernel_id": "227357"}, {"ref": "angelai/notebooke2cdba7744", "kernel_id": "219394"}, {"ref": "angelai/notebook89a1fa8290", "kernel_id": "219398"}, {"ref": "angelai/notebook7e9748b2cb", "kernel_id": "219432"}, {"ref": "angelai/notebook4c7a1ad724", "kernel_id": "222259"}, {"ref": "arthurfedj/notebook79407f1e46", "kernel_id": "238367"}, {"ref": "arahman1/playing-with-housing-data", "kernel_id": "270024"}, {"ref": "thierryherrie/house-prices-random-forest", "kernel_id": "478592"}, {"ref": "muhriddinuzb/house-price-updated", "kernel_id": "867020"}, {"ref": "minicloud/practice-linear-model", "kernel_id": "222558"}, {"ref": "gireeshp/notebook00643389c6", "kernel_id": "263474"}, {"ref": "prasadawandkar/notebook0b696209d1", "kernel_id": "226648"}, {"ref": "parithy/my-first-machine-learning-model", "kernel_id": "882830"}, {"ref": "parithy/machine-learning-learning-series", "kernel_id": "886603"}, {"ref": "asheshnathmishra/house-price-prediction", "kernel_id": "447228"}, {"ref": "adriane/housing02", "kernel_id": "243168"}, {"ref": "miner36/notebookc77fae9acd", "kernel_id": "217944"}, {"ref": "miner36/lastscript", "kernel_id": "244369"}, {"ref": "miner36/notebookf2bd093c6b", "kernel_id": "244275"}, {"ref": "allamtb/saleprice", "kernel_id": "239764"}, {"ref": "allamtb/notebookcbcf901200", "kernel_id": "239720"}, {"ref": "maitree/notebook2e2378ede4", "kernel_id": "247587"}, {"ref": "johan01/notebook15d2388f74", "kernel_id": "218376"}, {"ref": "nbose2/notebook98d8b116ae", "kernel_id": "231648"}, {"ref": "nbose2/notebookd0c0f44998", "kernel_id": "232641"}, {"ref": "nbose2/notebook617581d72b", "kernel_id": "232497"}, {"ref": "nbose2/notebooke9468ce299", "kernel_id": "232491"}, {"ref": "nbose2/notebook6df3207bf6", "kernel_id": "232531"}, {"ref": "nbose2/notebookcafceb1023", "kernel_id": "233974"}, {"ref": "nbose2/tests", "kernel_id": "258502"}, {"ref": "nbose2/er-help", "kernel_id": "218571"}, {"ref": "nbose2/notebook93d54397eb", "kernel_id": "218578"}, {"ref": "nbose2/notebook7741372a77", "kernel_id": "219401"}, {"ref": "nbose2/notebook7f8825b1bc", "kernel_id": "219441"}, {"ref": "nbose2/notebooka8923779c9", "kernel_id": "228038"}, {"ref": "nbose2/notebooke7d3d11232", "kernel_id": "229021"}, {"ref": "nbose2/notebookfc6f95fc41", "kernel_id": "227517"}, {"ref": "mckameym/notebookcbc40d9819", "kernel_id": "219395"}, {"ref": "mckameym/12345", "kernel_id": "219397"}, {"ref": "oznrozdmr/notebookb9891a8fb6", "kernel_id": "233985"}, {"ref": "srikantapatra/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "240954"}, {"ref": "jeandagenaisyahoo/comprehensive-data-exploration-with-python", "kernel_id": "223269"}, {"ref": "jeandagenaisyahoo/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "223270"}, {"ref": "jeandagenaisyahoo/comprehensive-data-exploration-with-python-034cf6", "kernel_id": "223272"}, {"ref": "jeandagenaisyahoo/house-prices-eda", "kernel_id": "223273"}, {"ref": "jeandagenaisyahoo/a-study-on-regression-applied-to-the-ames-d-22cee6", "kernel_id": "223274"}, {"ref": "datasam/a-couple-of-plots", "kernel_id": "264858"}, {"ref": "ilove2dgirl/notebook386bb2be52", "kernel_id": "224586"}, {"ref": "ilove2dgirl/notebook-sample-training", "kernel_id": "224587"}, {"ref": "ilove2dgirl/notebook-sample-ls-command", "kernel_id": "225295"}, {"ref": "ddesai/my-model", "kernel_id": "553799"}, {"ref": "ryoooo/notebook5170349a2f", "kernel_id": "230815"}, {"ref": "ryoooo/notebookcf848b3bd8", "kernel_id": "234891"}, {"ref": "ryoooo/notebooke06ddf3458", "kernel_id": "220942"}, {"ref": "ryoooo/notebookb6d33eb596", "kernel_id": "220943"}, {"ref": "ryoooo/notebook0c083be16c", "kernel_id": "225225"}, {"ref": "ryoooo/notebooke6f6babbfd", "kernel_id": "225229"}, {"ref": "ryoooo/notebookefd7ee009a", "kernel_id": "225231"}, {"ref": "ryoooo/notebookd55ed8727e", "kernel_id": "225209"}, {"ref": "ryoooo/notebookc3358764ac", "kernel_id": "230038"}, {"ref": "ryoooo/notebook1256aa1997", "kernel_id": "230035"}, {"ref": "ryoooo/notebook62259809f0", "kernel_id": "229993"}, {"ref": "saeednusri/analysis", "kernel_id": "301292"}, {"ref": "taokong/notebookb50b69dbc9", "kernel_id": "253750"}, {"ref": "thentu7/detailed-exploratory-data-analysis-using-r", "kernel_id": "225815"}, {"ref": "remusmazilu/first-attempt", "kernel_id": "220501"}, {"ref": "unsweric/basic-feature-engineering-random-forest", "kernel_id": "294630"}, {"ref": "unsweric/basic-feature-engineering-with-pipeline", "kernel_id": "294638"}, {"ref": "unsweric/basic-feature-engineering-with-neural-nets", "kernel_id": "294640"}, {"ref": "unsweric/using-pca-still-random-forest-with-pipeline", "kernel_id": "294643"}, {"ref": "unsweric/using-ica-still-random-forest-with-pipeline", "kernel_id": "294644"}, {"ref": "buptmeng/notebook9136bd5579", "kernel_id": "257743"}, {"ref": "kmsravindra/housing-prices-prediction-in-r", "kernel_id": "292061"}, {"ref": "dksush/notebooka5444544b4", "kernel_id": "222009"}, {"ref": "dksush/notebooke9a5331ba3", "kernel_id": "222011"}, {"ref": "stevejsmith/house-prices-an-exploratory-investigation", "kernel_id": "222131"}, {"ref": "stevejsmith/predicting-house-prices", "kernel_id": "224626"}, {"ref": "boweizhang/notebook6176816175", "kernel_id": "222049"}, {"ref": "dhritimandas7/house-pricing-using-random-forest-in-r", "kernel_id": "263718"}, {"ref": "jonmak/simple-regression-ensemble", "kernel_id": "265680"}, {"ref": "jonmak/simple-house-price-ensemble-and-tuning", "kernel_id": "265673"}, {"ref": "yuhongju/notebookf33010b3ae", "kernel_id": "271902"}, {"ref": "yuhongju/notebook910159184d", "kernel_id": "272011"}, {"ref": "suchetha/notebook4494c975db", "kernel_id": "239664"}, {"ref": "ardelaxela/notebook179acab594", "kernel_id": "223233"}, {"ref": "ardelaxela/myfirstscript", "kernel_id": "223235"}, {"ref": "raghuveernamala/house-prediction-business", "kernel_id": "408345"}, {"ref": "jorghyq/notebook1a771379f9", "kernel_id": "265154"}, {"ref": "andyxie/simple-regression-house-price", "kernel_id": "401560"}, {"ref": "andyxie/basic-regression-housing-price-unfinished", "kernel_id": "401382"}, {"ref": "andyxie/standard-workflow-2-eda", "kernel_id": "423638"}, {"ref": "andyxie/standard-workflow-1-prepare-and-baseline", "kernel_id": "423472"}, {"ref": "felipedoreto/notebook5f1bc26c41", "kernel_id": "225258"}, {"ref": "nshokeen/digit-recognize", "kernel_id": "223512"}, {"ref": "frozentp/linear-regression-demo", "kernel_id": "346198"}, {"ref": "jweibel/notebookf34eebc659", "kernel_id": "222932"}, {"ref": "georgemiller/housing-prices-data-challenge", "kernel_id": "457317"}, {"ref": "jacoblin/detailed-data-analysis-ensemble-modeling", "kernel_id": "237133"}, {"ref": "giacnott/notebookecc22a4288", "kernel_id": "223830"}, {"ref": "alyssongomes/predict-house-price", "kernel_id": "308370"}, {"ref": "msilva1/my-first-machine-learning-model", "kernel_id": "904799"}, {"ref": "kun0203/notebook743a26d0e4", "kernel_id": "224129"}, {"ref": "aardace/notebook08b629c9ac", "kernel_id": "224321"}, {"ref": "hyunlau/my-model", "kernel_id": "564007"}, {"ref": "kitivan/data-imputation-and-exploratory-analysis", "kernel_id": "380958"}, {"ref": "eversdyk/notebook901d696025", "kernel_id": "227638"}, {"ref": "justinma/notebookb796797169", "kernel_id": "230010"}, {"ref": "m2skills/starter-guide-for-eda-stacked-regression", "kernel_id": "677483"}, {"ref": "nishantgrapidi/house-price-prediction-contest", "kernel_id": "731457"}, {"ref": "jasonguan/notebook75a56de6a4", "kernel_id": "225045"}, {"ref": "manojnakalapala/using-categorical-data-with-one-hot-encoding", "kernel_id": "818022"}, {"ref": "manojnakalapala/handling-missing-values", "kernel_id": "809380"}, {"ref": "manojnakalapala/mk-my-first-machine-learning-model", "kernel_id": "758909"}, {"ref": "zhanglijuan/notebooke4b53e00d2", "kernel_id": "249332"}, {"ref": "vtran3/practice-draft-version", "kernel_id": "231549"}, {"ref": "raymondleach7/notebooke640555b4b", "kernel_id": "226702"}, {"ref": "roee286/some-lessons-3rd-place-in-leaderboard", "kernel_id": "368785"}, {"ref": "yanbixing/comprehensive-data-exploration-with-python-forked", "kernel_id": "270209"}, {"ref": "deschanel/try-a-great-xgboost-tutor", "kernel_id": "227816"}, {"ref": "deschanel/notebook91336f435a", "kernel_id": "227819"}, {"ref": "deschanel/notebookfaadcd854a", "kernel_id": "227771"}, {"ref": "deschanel/notebook1c74b22c9f", "kernel_id": "230279"}, {"ref": "faisalfaissi/notebookae38b95366", "kernel_id": "228769"}, {"ref": "traumong/house-prices", "kernel_id": "306285"}, {"ref": "traumong/house-prices-advanced-regression-techniques", "kernel_id": "306288"}, {"ref": "haofutracy/notebookc0bfd0cc9a", "kernel_id": "237060"}, {"ref": "benhxb/house-prices-prediction", "kernel_id": "229091"}, {"ref": "huixudeng/test-v0", "kernel_id": "252051"}, {"ref": "huixudeng/notebook9a23166a72", "kernel_id": "252052"}, {"ref": "universeyi/notebook382f81f716", "kernel_id": "260045"}, {"ref": "srgrace/my-model", "kernel_id": "657223"}, {"ref": "jiang42152/boston-price-0-12161", "kernel_id": "574668"}, {"ref": "jiang42152/single-xgboost-model-with-score-0-12161", "kernel_id": "575368"}, {"ref": "azawar/notebooke17c98c50b", "kernel_id": "227304"}, {"ref": "dbs800/simple-h2o-0-18-lb", "kernel_id": "625577"}, {"ref": "briwill/house-price-eda", "kernel_id": "636046"}, {"ref": "littlerobot77/fork-of-testing", "kernel_id": "277572"}, {"ref": "littlerobot77/fork-of-fork-of-fork-of-this-is-a-training-test", "kernel_id": "273188"}, {"ref": "littlerobot77/fork-of-fork-of-fork-of-fork-of-this-is-a-training", "kernel_id": "273268"}, {"ref": "littlerobot77/fork-of-fork-of-fork-of-fork-of-fork-of-this-is-a", "kernel_id": "273387"}, {"ref": "littlerobot77/fork-of-fork-of-this-is-a-training-test", "kernel_id": "272404"}, {"ref": "littlerobot77/testing", "kernel_id": "274464"}, {"ref": "littlerobot77/testdata2", "kernel_id": "269329"}, {"ref": "littlerobot77/this-is-a-training-test", "kernel_id": "269345"}, {"ref": "littlerobot77/fork-of-this-is-a-training-test", "kernel_id": "271318"}, {"ref": "littlerobot77/house-prices-version-2", "kernel_id": "279617"}, {"ref": "atishrah25/featureengineering-lasso", "kernel_id": "291026"}, {"ref": "atishrah25/exploring-features", "kernel_id": "289350"}, {"ref": "atishrah25/exploring-dataset", "kernel_id": "289351"}, {"ref": "atishrah25/exploration-notebook", "kernel_id": "288993"}, {"ref": "dianaqu/housing-price-data-explore", "kernel_id": "230992"}, {"ref": "trix999/eda-and-first-results", "kernel_id": "275912"}, {"ref": "niallbrickell/notebookdeadfff893", "kernel_id": "230688"}, {"ref": "rachelyou/first-try", "kernel_id": "228577"}, {"ref": "wallesun/price-prediction", "kernel_id": "232301"}, {"ref": "lolxiaoxin/adv-reg", "kernel_id": "234928"}, {"ref": "kumaripaba/housing-price-prediction", "kernel_id": "308755"}, {"ref": "tynovsky/notebookb0548e797d", "kernel_id": "247810"}, {"ref": "savithanallasamy/notebook7ff29e778e", "kernel_id": "229230"}, {"ref": "savithanallasamy/notebook15996ebfca", "kernel_id": "229233"}, {"ref": "dacliem/comprehensive-data-exploration-with-python", "kernel_id": "251353"}, {"ref": "wenjie1204/notebook49e2034404", "kernel_id": "275685"}, {"ref": "wenjie1204/liner", "kernel_id": "275670"}, {"ref": "hengzi/notebookce734c87e3", "kernel_id": "232779"}, {"ref": "foxwendyzhao/notebooka77430010a", "kernel_id": "231649"}, {"ref": "foxwendyzhao/first-try-real-estate-price", "kernel_id": "231650"}, {"ref": "devautor/notebook29f8005249", "kernel_id": "238873"}, {"ref": "melekboujelben/pipelined-rf", "kernel_id": "672352"}, {"ref": "melekboujelben/house-price-xgboost", "kernel_id": "672140"}, {"ref": "melekboujelben/handling-missing-values-26116e", "kernel_id": "669808"}, {"ref": "xinxiao/notebook7a1c8d8ebe", "kernel_id": "230274"}, {"ref": "matteohariry/my-first-machine-learning-model-d5cf18", "kernel_id": "991001"}, {"ref": "kvnwong52/notebook085fbc1d18", "kernel_id": "260887"}, {"ref": "evanevans/notebooka30c5c75a4", "kernel_id": "262463"}, {"ref": "shichi/notebook2af8141c7f", "kernel_id": "236270"}, {"ref": "tongjin77/regularized-linear-models-test", "kernel_id": "243689"}, {"ref": "miketsoy/notebook26e0420a3d", "kernel_id": "243307"}, {"ref": "alexandremontoya/my-first-machine-learning-model-dc7149", "kernel_id": "838634"}, {"ref": "pabloacera/submitting-from-a-kernel", "kernel_id": "754758"}, {"ref": "pabloacera/handling-missing-values", "kernel_id": "754811"}, {"ref": "siddhesh7/notebook57f132a7bf", "kernel_id": "238881"}, {"ref": "siddhesh7/house-prices", "kernel_id": "238887"}, {"ref": "ancorasir/notebook8863c59174", "kernel_id": "246060"}, {"ref": "ksr102631/house-price-prediction-eda-1", "kernel_id": "287704"}, {"ref": "ksr102631/house-price-prediction-srk-1", "kernel_id": "287582"}, {"ref": "keenank/house-prices", "kernel_id": "590060"}, {"ref": "mbhnwz/notebook3839798b36", "kernel_id": "236221"}, {"ref": "mbhnwz/notebookfcee2022c5", "kernel_id": "236216"}, {"ref": "maheshrayas/notebook8458ca454e", "kernel_id": "258939"}, {"ref": "robertoosan/house-prices-crisp-dm-process", "kernel_id": "236517"}, {"ref": "robertoosan/my-first-xgboost", "kernel_id": "251814"}, {"ref": "clemsquared/aaaaa", "kernel_id": "233123"}, {"ref": "clemsquared/notebookfe2c6f2191", "kernel_id": "233104"}, {"ref": "kelloggc/stacking-starter", "kernel_id": "241627"}, {"ref": "hoto17296/notebookffbb4ebb72", "kernel_id": "236303"}, {"ref": "weishyi/houseprice-notebook", "kernel_id": "241058"}, {"ref": "mrcow138/housing-prediction-model", "kernel_id": "549555"}, {"ref": "naropian/narnar-test", "kernel_id": "259833"}, {"ref": "litachil/notebookbb5418698f", "kernel_id": "247394"}, {"ref": "litachil/try-the-xgboost", "kernel_id": "247880"}, {"ref": "ksauln/housing-price-predicitons", "kernel_id": "244903"}, {"ref": "shrutikaushik/notebookf996144581", "kernel_id": "236900"}, {"ref": "infzero/notebookec31b593e9", "kernel_id": "237555"}, {"ref": "lprush/notebook7963b389ed", "kernel_id": "234513"}, {"ref": "weichangyi/regularized-linear-models-f77e13", "kernel_id": "238820"}, {"ref": "miev88/get-to-the-top-15-and-learn-from-examples", "kernel_id": "295476"}, {"ref": "matiji66/comprehensive-data-exploration-with-python", "kernel_id": "505067"}, {"ref": "khachani/comprehensive-data-exploration-with-python", "kernel_id": "247108"}, {"ref": "ariccjme/notebookd4f2b9c9c4", "kernel_id": "251207"}, {"ref": "ariccjme/notebook54b82acc0f", "kernel_id": "247524"}, {"ref": "ariccjme/notebook52708dac9b", "kernel_id": "244614"}, {"ref": "ariccjme/houprices", "kernel_id": "244549"}, {"ref": "ariccjme/notebooka944693a56", "kernel_id": "244525"}, {"ref": "harshalp/housing-price-prediction-using-python", "kernel_id": "567758"}, {"ref": "zhaoyin0811/jerry-s-first-try", "kernel_id": "268374"}, {"ref": "sqrt57/first-steps-in-r-1", "kernel_id": "236391"}, {"ref": "sqrt57/first-steps-in-r", "kernel_id": "236035"}, {"ref": "admokl/kaggletest", "kernel_id": "235550"}, {"ref": "mochantk/notebook7ccb30fd0b", "kernel_id": "235553"}, {"ref": "mochantk/notebook267426149f", "kernel_id": "235616"}, {"ref": "mochantk/notebookef93b36f29", "kernel_id": "235617"}, {"ref": "mochantk/notebookccda9d3e55", "kernel_id": "235595"}, {"ref": "mochantk/notebook160734eb70", "kernel_id": "235596"}, {"ref": "mochantk/notebook41286e9b7e", "kernel_id": "235619"}, {"ref": "mochantk/notebookb96158e24a", "kernel_id": "258156"}, {"ref": "abishekswamy/amit-choudhary-s-kernel-notebook-ified", "kernel_id": "252207"}, {"ref": "stdntlfe/a-study-on-regression-applied-dataset", "kernel_id": "604957"}, {"ref": "aisync/notebook10b45b0090", "kernel_id": "236269"}, {"ref": "prekewen/notebooka3314c0204", "kernel_id": "252448"}, {"ref": "danabehnam/dana-xgboost", "kernel_id": "255318"}, {"ref": "gchshin/fork-of-notebook2d283cfc30", "kernel_id": "237835"}, {"ref": "gchshin/detailed-data-exploration-in-python", "kernel_id": "237842"}, {"ref": "gchshin/try-geon", "kernel_id": "236426"}, {"ref": "gchshin/notebook2d283cfc30", "kernel_id": "236415"}, {"ref": "gchshin/notebook83ac72ce92", "kernel_id": "242814"}, {"ref": "gchshin/notebookb09faef7ca", "kernel_id": "243497"}, {"ref": "gchshin/house-price-prediction-challenge", "kernel_id": "243498"}, {"ref": "stephaniestallworth/housing-feature-engineering-regression", "kernel_id": "346312"}, {"ref": "ronhend/fun-with-real-estate-data", "kernel_id": "279001"}, {"ref": "eheimann/house-price-simple-cvridge-only-numeric", "kernel_id": "397611"}, {"ref": "rehmanm/my-model", "kernel_id": "546935"}, {"ref": "zbasper/study-analysis-data-exploration-with-python", "kernel_id": "242853"}, {"ref": "zbasper/notebookf8fa859490", "kernel_id": "238808"}, {"ref": "tsedwards17/notebookd15eab9ba4", "kernel_id": "242537"}, {"ref": "rtessier/predicting-house-prices", "kernel_id": "238339"}, {"ref": "samratp/guide-to-house-prices-regression-eda-and-model", "kernel_id": "592143"}, {"ref": "dwkang1/linear-regression-by-bilal-malik", "kernel_id": "272834"}, {"ref": "kunald216/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "238848"}, {"ref": "kunald216/house-buying", "kernel_id": "238856"}, {"ref": "danielhung/house-price-prediction", "kernel_id": "647664"}, {"ref": "arpangulrajani/house-prices-advanced-regression-techniques", "kernel_id": "238905"}, {"ref": "dlcainiao/testhomeprice", "kernel_id": "238965"}, {"ref": "amavds/notebook11c89a5eb4", "kernel_id": "241063"}, {"ref": "infof422lyu/notebookbd4c161010", "kernel_id": "241376"}, {"ref": "infof422lyu/notebook0e80d202c1", "kernel_id": "241378"}, {"ref": "mingiscoding/test1", "kernel_id": "239489"}, {"ref": "cxxacxx/notebookae37ccf239", "kernel_id": "280296"}, {"ref": "cxxacxx/notebook5e5c1080ac", "kernel_id": "279648"}, {"ref": "cxxacxx/notebookd329468f2e", "kernel_id": "279272"}, {"ref": "cxxacxx/have-a-try", "kernel_id": "279467"}, {"ref": "cxxacxx/have-a-try-2", "kernel_id": "279640"}, {"ref": "ation1122/notebook206f5a5927", "kernel_id": "275691"}, {"ref": "ation1122/notebook6b4f6bee00", "kernel_id": "274407"}, {"ref": "zhixinzhang/using-lasso-and-xgboost-and-then-ensembling-them", "kernel_id": "251623"}, {"ref": "zhixinzhang/stacked-regressions-top-4-on-leaderboard", "kernel_id": "328240"}, {"ref": "zhixinzhang/notebookf824053f44", "kernel_id": "337948"}, {"ref": "hehe91/sample", "kernel_id": "275757"}, {"ref": "xf1994/notebook9aba613d7f", "kernel_id": "272832"}, {"ref": "xf1994/notebook1f82145ec3", "kernel_id": "271844"}, {"ref": "samijayne/notebook23a77d889c", "kernel_id": "244209"}, {"ref": "peckie/lazy-random-forest-analysis", "kernel_id": "377837"}, {"ref": "wojwoj/exploratory-data-analyst", "kernel_id": "259476"}, {"ref": "blowolf/notebooke1b5e4da34", "kernel_id": "278334"}, {"ref": "blowolf/notebookc66132afd4", "kernel_id": "279219"}, {"ref": "blowolf/notebookd9cb1d7d51", "kernel_id": "279225"}, {"ref": "erick5/predicting-house-prices-with-machine-learning", "kernel_id": "338740"}, {"ref": "marquinhe/comprehensive-data-exploration-with-python", "kernel_id": "248326"}, {"ref": "parkci/regularized-linear-models", "kernel_id": "242844"}, {"ref": "infof422cambier/submission-test", "kernel_id": "256243"}, {"ref": "infof422cambier/notebook5a61ea69e7", "kernel_id": "262273"}, {"ref": "infof422cambier/notebooka7103a5938", "kernel_id": "263830"}, {"ref": "milesb/basic-test", "kernel_id": "244902"}, {"ref": "r96941046/house-prices-feature-engineering", "kernel_id": "259269"}, {"ref": "sixwzhh/notebook86886aabad", "kernel_id": "243720"}, {"ref": "bigjelly1995/kaggle-hello-world", "kernel_id": "243923"}, {"ref": "bigjelly1995/notebookdea2eab607", "kernel_id": "243918"}, {"ref": "bigjelly1995/my-first-kaggel", "kernel_id": "330718"}, {"ref": "ostaski/handling-missing-values", "kernel_id": "683844"}, {"ref": "ostaski/using-categorical-data-with-one-hot-encoding", "kernel_id": "686139"}, {"ref": "ostaski/underfitting-overfitting-and-model-optimization", "kernel_id": "679372"}, {"ref": "ostaski/random-forests", "kernel_id": "681911"}, {"ref": "ostaski/submitting-from-a-kernel", "kernel_id": "681956"}, {"ref": "ostaski/your-first-scikit-learn-model", "kernel_id": "676395"}, {"ref": "ostaski/selecting-and-filtering-in-pandas", "kernel_id": "676343"}, {"ref": "ostaski/model-validation", "kernel_id": "676648"}, {"ref": "ostaski/learning-to-use-xgboost", "kernel_id": "692240"}, {"ref": "ostaski/my-model-1", "kernel_id": "673925"}, {"ref": "ostaski/welcome-to-data-science-in-r-workbook", "kernel_id": "905198"}, {"ref": "nishant09/my-first-machine-learning-model", "kernel_id": "836055"}, {"ref": "aruedasb/ec-bas320-utk", "kernel_id": "244396"}, {"ref": "aruedasb/notebooke1fc5f0cb8", "kernel_id": "244394"}, {"ref": "anglerpi/house-prices-predict", "kernel_id": "583456"}, {"ref": "beovulfo/reference", "kernel_id": "247627"}, {"ref": "beovulfo/dr-housing", "kernel_id": "247631"}, {"ref": "beovulfo/detailed-exploratory-data-analysis-using-r", "kernel_id": "247624"}, {"ref": "kenleo/no-money-no-house", "kernel_id": "245404"}, {"ref": "kenleo/regularized-linear-models", "kernel_id": "245388"}, {"ref": "kenleo/house", "kernel_id": "245391"}, {"ref": "kenleo/parameters-tuning", "kernel_id": "278736"}, {"ref": "chzungolo/detailed-data-analysis-ensemble-modeling", "kernel_id": "245643"}, {"ref": "fengli97/comprehensive-data-exploration-with-python", "kernel_id": "258960"}, {"ref": "leonfeng/data-exploration-regression-modeling", "kernel_id": "268023"}, {"ref": "dinglvlq/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "261616"}, {"ref": "callosum/notebook51620e31ef", "kernel_id": "259901"}, {"ref": "royboost/eeeee", "kernel_id": "256006"}, {"ref": "lmindyuk/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "268936"}, {"ref": "brunodeabreu/house-prices-using-randomforestregressor", "kernel_id": "710857"}, {"ref": "pavellauko/notebookd61b0b7bd9", "kernel_id": "247809"}, {"ref": "infof422hamesse/infof422-project", "kernel_id": "248338"}, {"ref": "infof422hamesse/submission-test", "kernel_id": "262277"}, {"ref": "infof422hamesse/notebook2351231251", "kernel_id": "262251"}, {"ref": "xlucas/house-price", "kernel_id": "269878"}, {"ref": "xlucas/notebookcb4fc036d4", "kernel_id": "269666"}, {"ref": "lchiappa/infof422-project", "kernel_id": "256156"}, {"ref": "manibhask/data-exploration-and-predictive-modeling", "kernel_id": "696007"}, {"ref": "locole/initial-investigation-feature-eng-and-lasso", "kernel_id": "521270"}, {"ref": "chrisleo87/notebook95ab576834", "kernel_id": "248691"}, {"ref": "dzwduan/neural-network-model-for-house-prices-tensorflow", "kernel_id": "380806"}, {"ref": "kenmaready/house-pricing-problems-inverting-log-transform", "kernel_id": "628358"}, {"ref": "dishingoyani/house-prices-advanced-regression-techniques-dh", "kernel_id": "577037"}, {"ref": "dishingoyani/handling-missing-values", "kernel_id": "586399"}, {"ref": "kelshamouty/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "250016"}, {"ref": "daguest/my-first-machine-learning-model", "kernel_id": "990918"}, {"ref": "shaoyingzhang/data-exploration-and-prediction-of-house-price", "kernel_id": "322612"}, {"ref": "yizibai/notebookba966ffaee", "kernel_id": "268300"}, {"ref": "yizibai/notebook8b0bb2f164", "kernel_id": "268301"}, {"ref": "haiderbaghdady/notebook2904a6149e", "kernel_id": "253787"}, {"ref": "sheigoldberg/house-price-prediction-getting-started", "kernel_id": "488033"}, {"ref": "jiexus/comprehensive-data-exploration-with-python", "kernel_id": "519769"}, {"ref": "jiexus/comprehensive-data-exploration-with-python-63ac4e", "kernel_id": "519771"}, {"ref": "jiexus/stacked-regressions-top-4-on-leaderboard", "kernel_id": "519774"}, {"ref": "truongtle/notebook6f650401c0", "kernel_id": "253554"}, {"ref": "lunran/house-prices", "kernel_id": "409488"}, {"ref": "chiplee/comprehensive-data-exploration-with-python", "kernel_id": "270906"}, {"ref": "jaynec/exploration-on-youtube-trending-data", "kernel_id": "687941"}, {"ref": "sivasuryak3/house-price-prediction-using-r", "kernel_id": "572048"}, {"ref": "sebastienj/house-prices", "kernel_id": "254625"}, {"ref": "dds007/test2", "kernel_id": "256518"}, {"ref": "tongwu2/notebook16d47640c4", "kernel_id": "275853"}, {"ref": "tongwu2/notebook389ee0a0a3", "kernel_id": "267208"}, {"ref": "tongwu2/notebook68656c4f88", "kernel_id": "267210"}, {"ref": "sahilbhosale63/fork-of-my-first-machine-learning-model", "kernel_id": "931559"}, {"ref": "shep312/linear-ensemble-stack-with-preprocessing", "kernel_id": "758862"}, {"ref": "dan210/hand-writing-recognition-1", "kernel_id": "253846"}, {"ref": "dataygun/a-story-of-just-everything", "kernel_id": "483128"}, {"ref": "jillavenkat/house-price-prediction", "kernel_id": "594945"}, {"ref": "ammarraja/welcome-to-data-science-in-r-workbook", "kernel_id": "547385"}, {"ref": "ammarraja/my-model-one-hot-encoding", "kernel_id": "572230"}, {"ref": "ammarraja/my-model", "kernel_id": "570166"}, {"ref": "jonathanng/jpn-s-first-kernel", "kernel_id": "254857"}, {"ref": "pengelinliu/initial-eda", "kernel_id": "270527"}, {"ref": "jiekebo/exploring-house-data", "kernel_id": "258311"}, {"ref": "xavkearney/house-price-regression", "kernel_id": "272481"}, {"ref": "tenz4103/stacking-of-several-ensemble-estimators", "kernel_id": "321031"}, {"ref": "avisek7/comprehensive-data-exploration-with-python2", "kernel_id": "273405"}, {"ref": "shivank98/easy-on-house-prices-advanced-regression", "kernel_id": "397410"}, {"ref": "ndeyefatoudiop/house-prices-prediction", "kernel_id": "263544"}, {"ref": "infof422alkai/notebook99e819882f", "kernel_id": "256122"}, {"ref": "infof422alkai/infof422-project", "kernel_id": "256132"}, {"ref": "infof422alkai/notebook12fff0c6a8", "kernel_id": "263882"}, {"ref": "infof422alkai/notebookf1cce70dc4", "kernel_id": "263968"}, {"ref": "lenawitterauf/saleprice-experimental", "kernel_id": "256209"}, {"ref": "antoinebergamaschi/notebook7867cdd81e", "kernel_id": "256198"}, {"ref": "sepremento/missing-data-handling", "kernel_id": "808774"}, {"ref": "kamani/hp-kamani", "kernel_id": "259377"}, {"ref": "kamani/notebookbc8b2d789f", "kernel_id": "259416"}, {"ref": "jmayerstone/stone-test1", "kernel_id": "263080"}, {"ref": "merckel/confidence-interval-estimation-via-bootstrapping", "kernel_id": "716895"}, {"ref": "djpham/notebookcb8ec52efd", "kernel_id": "257366"}, {"ref": "ancs21/basic-deep-learning", "kernel_id": "369935"}, {"ref": "rnepal2/lightgbm-optuna-housing-prices-regression", "kernel_id": "345132"}, {"ref": "mgierlach/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "281505"}, {"ref": "nellytcu/notebooka60d4ba0fb", "kernel_id": "279726"}, {"ref": "mzmmoazam/comprehensive-data-exploration-with-python", "kernel_id": "504859"}, {"ref": "leboson/notebookcddb6f974d", "kernel_id": "260698"}, {"ref": "bingyupiaoyao/comprehensive-data-exploration-with-python", "kernel_id": "266854"}, {"ref": "latuannetnam/house-prices-analysis", "kernel_id": "289166"}, {"ref": "xuejingle/final-project", "kernel_id": "317132"}, {"ref": "zl1994/fist-try", "kernel_id": "271838"}, {"ref": "kevinskings/a-study-on-regression-applied-to-the-ames-d-0f3356", "kernel_id": "274105"}, {"ref": "kevinskings/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "273894"}, {"ref": "ooxtranger/notebookfaad8b9b53", "kernel_id": "269637"}, {"ref": "ooxtranger/predict-house-prices-svm-svr", "kernel_id": "269931"}, {"ref": "ooxtranger/notebook43daef38da", "kernel_id": "269954"}, {"ref": "infof422breckx/notebook6c4c0acc4d", "kernel_id": "261206"}, {"ref": "mucuntian/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "263733"}, {"ref": "mucuntian/a-study-on-regression-applied-to-the-ames-d-c3dc8e", "kernel_id": "264305"}, {"ref": "lboshuizen/notebook75695ede8c", "kernel_id": "262420"}, {"ref": "douglasbear/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "264577"}, {"ref": "gillesdek/notebook354160ae2e", "kernel_id": "263448"}, {"ref": "gillesdek/projetinfo-f-422", "kernel_id": "263449"}, {"ref": "unfashionable/linear-stacking-top20-run-time-1-min", "kernel_id": "698195"}, {"ref": "tiwaryamit/house-prices-complete-exercise", "kernel_id": "396718"}, {"ref": "kiwifairy/notebooke7810217e3", "kernel_id": "263046"}, {"ref": "luigimersico/analysis-with-h2o", "kernel_id": "336196"}, {"ref": "dongmooo/notebook388b310eff", "kernel_id": "263051"}, {"ref": "nicehuster/xgboost-lassomodel", "kernel_id": "279658"}, {"ref": "stronger/comprehensive-data-exploration-with-python", "kernel_id": "275917"}, {"ref": "dushaniwcse/notebook92b900d8c3", "kernel_id": "270438"}, {"ref": "dushaniwcse/notebook21bc928050", "kernel_id": "269649"}, {"ref": "vardhanja/notebooka4b0df2dcf", "kernel_id": "263462"}, {"ref": "vardhanja/notebookef1ffa02ba", "kernel_id": "263456"}, {"ref": "haochsc/notebook6de4b06c05", "kernel_id": "270940"}, {"ref": "attackgnome/house-prices-advanced-regression-techniques", "kernel_id": "853785"}, {"ref": "shakedr/gbm-example-with-svr", "kernel_id": "266348"}, {"ref": "villoro/nn-with-tensorflow-and-autoencoder-for-nan", "kernel_id": "282081"}, {"ref": "jsinha218/js218-ml-project", "kernel_id": "628157"}, {"ref": "muvenky/my-first-machine-learning-model-f93173", "kernel_id": "966315"}, {"ref": "joshiankur/kernel89a553cb5f", "kernel_id": "850405"}, {"ref": "lukasbach/notebook595dfddf89", "kernel_id": "264205"}, {"ref": "tianhezhimeng/fork-of-fork-of-notebook6f885fc995", "kernel_id": "274416"}, {"ref": "tianhezhimeng/notebooke4aeb60180", "kernel_id": "266041"}, {"ref": "mjyang/xgboost-with-simple-automl", "kernel_id": "270507"}, {"ref": "mjyang/lasso", "kernel_id": "277509"}, {"ref": "anshulswarup/notebook1285f58611", "kernel_id": "272192"}, {"ref": "gongkaicheng/test0526", "kernel_id": "267232"}, {"ref": "gongkaicheng/gkctest", "kernel_id": "267223"}, {"ref": "gongkaicheng/gkc-v1", "kernel_id": "268759"}, {"ref": "agodwinp/stacking-house-prices-walkthrough-to-top-5", "kernel_id": "792645"}, {"ref": "parisac/adventures-in-regression", "kernel_id": "516769"}, {"ref": "aharb1/detailed-exploratory-data-analysis-using-r", "kernel_id": "267721"}, {"ref": "mugheesahmed52/support-vector-machine-svr", "kernel_id": "269237"}, {"ref": "mugheesahmed52/pca-and-regression", "kernel_id": "268940"}, {"ref": "mugheesahmed52/linear-regression-bilal", "kernel_id": "269901"}, {"ref": "sohamagrawal/house-prices-1", "kernel_id": "336657"}, {"ref": "hafidhfikri/my-first-machine-learning-model", "kernel_id": "980712"}, {"ref": "npchampion/notebook1704f38a18", "kernel_id": "278956"}, {"ref": "aniruddhachakraborty/lasso-gbm-xgboost-top-20-0-12039-using-r", "kernel_id": "379609"}, {"ref": "yuganghu/housing-data-exploration", "kernel_id": "280831"}, {"ref": "tina45/regression-to-predict-house-prices-442ce8", "kernel_id": "267873"}, {"ref": "gaurav9297/fork-of-notebook12c1f6748c", "kernel_id": "347150"}, {"ref": "chetangrandhe/my-model-c0ad52", "kernel_id": "562176"}, {"ref": "gaurav39/house-price-rfregressor", "kernel_id": "715293"}, {"ref": "zhouyanghust/notebook6d76e2f1af", "kernel_id": "271829"}, {"ref": "karthiciist/house-valuating-for-beginners", "kernel_id": "302277"}, {"ref": "karthiciist/house-valuating-ml-for-beginners", "kernel_id": "302540"}, {"ref": "daryasary/my-first-machine-learning-model", "kernel_id": "947711"}, {"ref": "bilal143/linear-regression-by-bilal-malik", "kernel_id": "269977"}, {"ref": "zuarez/notebookb9e617c59f", "kernel_id": "269980"}, {"ref": "kabure/houseprices-pipeline-featuretools-tpot", "kernel_id": "605664"}, {"ref": "patrickjordan/random-forest", "kernel_id": "270276"}, {"ref": "abhigarhia/starting-your-ml-project", "kernel_id": "855737"}, {"ref": "rocketfarmsteinar/house-price", "kernel_id": "271106"}, {"ref": "sunmiyoon/one-hour-analysis-written-in-both-eng-and-kor", "kernel_id": "677277"}, {"ref": "jainshreya1997/ridge", "kernel_id": "300775"}, {"ref": "il023109/notebookcbb1cc794b", "kernel_id": "279012"}, {"ref": "abhikarthi/house-price-prediction-simple-linear-model", "kernel_id": "507105"}, {"ref": "meetme2meat/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "280809"}, {"ref": "krishnapreetish/notebookc089129ab7", "kernel_id": "277923"}, {"ref": "krishnapreetish/notebooka514b866e3", "kernel_id": "277905"}, {"ref": "jamesza/boston-house-prices", "kernel_id": "400308"}, {"ref": "prabhulingayya/prediction-using-advanced-regression", "kernel_id": "461585"}, {"ref": "vhrique/simple-house-price-prediction-stacking", "kernel_id": "521087"}, {"ref": "waledosunmu/my-first-machine-learning-model", "kernel_id": "975773"}, {"ref": "skumar93/data-pre-processing-and-prediction-regression", "kernel_id": "420326"}, {"ref": "sxliuliang9494/hust-liu", "kernel_id": "278562"}, {"ref": "sxliuliang9494/xgboost-lasso", "kernel_id": "278578"}, {"ref": "angel05/notebook436b7a680b", "kernel_id": "275333"}, {"ref": "kivaschenko/house-prices-random-forest-model", "kernel_id": "428629"}, {"ref": "leehust/lee-code", "kernel_id": "278322"}, {"ref": "baninaveen/starting-your-ml-project-b09825", "kernel_id": "994253"}, {"ref": "abagalkotkar/notebook4f96677a22", "kernel_id": "276297"}, {"ref": "anuj8187/missing-var-imputation", "kernel_id": "280208"}, {"ref": "jacksmengel/averaging-z-scores-to-predict-saleprice", "kernel_id": "552921"}, {"ref": "kushagramakharia/pricing-home", "kernel_id": "279527"}, {"ref": "aishwaryadeshpande/linear-regression-house-price", "kernel_id": "308004"}, {"ref": "massquantity/all-you-need-is-pca-lb-0-11421-top-4", "kernel_id": "553948"}, {"ref": "randylaosat/first-attempt-of-machine-learning", "kernel_id": "294455"}, {"ref": "adekola/comprehensive-data-exploration-with-python", "kernel_id": "370782"}, {"ref": "adekola/predicting-sales-price-of-ames-dataset-houses", "kernel_id": "425478"}, {"ref": "deeplake/favorita-grocery-data-analysis-model-test", "kernel_id": "412140"}, {"ref": "deeplake/data-analysis-model-test-house-prices", "kernel_id": "401594"}, {"ref": "dellimxx/let-s-learn-about-machine-learning", "kernel_id": "763402"}, {"ref": "lierwin/house-prices-eda", "kernel_id": "280033"}, {"ref": "kevinchiha/house-prices-notebook-python", "kernel_id": "303349"}, {"ref": "greenshower/notebook54a9781b62", "kernel_id": "280788"}, {"ref": "sorzhe/handling-missing-values", "kernel_id": "384701"}, {"ref": "chandraroy/house-price-beginners-neural-network", "kernel_id": "464990"}, {"ref": "chandraroy/does-kitchen-quality-affects-house-price", "kernel_id": "487091"}, {"ref": "jiangqinghua/comprehensive-data-exploration-with-python", "kernel_id": "287841"}, {"ref": "asuyal/ridge-gbm-xgb-ensemble-modelling-in-r", "kernel_id": "500191"}, {"ref": "bangdasun/house-pricing-stacked-regressions-top-4", "kernel_id": "863164"}, {"ref": "kunalgoyal/prediction-housing", "kernel_id": "830799"}, {"ref": "davidmerrick/my-model-5abe48", "kernel_id": "605910"}, {"ref": "mwj351878605/house-prices", "kernel_id": "693424"}, {"ref": "shakunttrehan/my-first-machine-learning-model", "kernel_id": "726946"}, {"ref": "mchatham/ames-housing-regression", "kernel_id": "401307"}, {"ref": "cormerod/house-prices-ormerod-1", "kernel_id": "289794"}, {"ref": "aguerrad/first-notebook", "kernel_id": "290462"}, {"ref": "aguerrad/simple-aproach-to-get-to-top-15-0-11749", "kernel_id": "382666"}, {"ref": "lizsamor/submitting-from-a-kernel-705d67", "kernel_id": "986667"}, {"ref": "siddhinita/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "355855"}, {"ref": "georgerapley/quick-attempt-xgboost-lasso", "kernel_id": "336748"}, {"ref": "ronaldleolu/housing-saleprice-prediction", "kernel_id": "390149"}, {"ref": "swamysm/missing-value-imputation-price-prediction", "kernel_id": "414820"}, {"ref": "karthikgo/competition-notebook-1", "kernel_id": "322748"}, {"ref": "karenfang/housing-prediction", "kernel_id": "700809"}, {"ref": "ejjagiri/housing-prices-using-r", "kernel_id": "325607"}, {"ref": "exuperie/my-first-machine-learning-model", "kernel_id": "748094"}, {"ref": "willrice/real-estate-pricing-in-progress", "kernel_id": "312441"}, {"ref": "hunanmeitan/submitting-from-a-kernel-df3177", "kernel_id": "887833"}, {"ref": "eternityspell/helloword", "kernel_id": "364827"}, {"ref": "reenusingh/my-first-machine-learning-model", "kernel_id": "762302"}, {"ref": "nigimitama/regression-with-svmlinear", "kernel_id": "525878"}, {"ref": "urbanofonseca/kaggle-lisbon-meetup-2", "kernel_id": "983655"}, {"ref": "pranjal05/house-pricing-prediction", "kernel_id": "555133"}, {"ref": "rskn1987/house-price-code", "kernel_id": "312988"}, {"ref": "ashukr/first-step-ingestion-to-prediction", "kernel_id": "457304"}, {"ref": "ashukr/houseprice-prediction", "kernel_id": "445059"}, {"ref": "shutoaraki/data-mining-final-project", "kernel_id": "821089"}, {"ref": "eamanu/my-first-machine-learning-model", "kernel_id": "745020"}, {"ref": "kazimanil/house-prices-eda", "kernel_id": "669658"}, {"ref": "kazimanil/house-prices-submission", "kernel_id": "683658"}, {"ref": "karankhurana/lassocv-xgboost-kkhurana", "kernel_id": "303262"}, {"ref": "nagamanir/predicting-house-prices-regression", "kernel_id": "564649"}, {"ref": "haphamhoang/ensemble-modeling-for-prediction-house-price", "kernel_id": "890901"}, {"ref": "intohole/house-price-predict-for-fisher", "kernel_id": "911181"}, {"ref": "mani443/houses-prices-using-pca", "kernel_id": "443728"}, {"ref": "mani443/my-first-competition-house-prices", "kernel_id": "435681"}, {"ref": "yassineghouzam/eda-introduction-to-ensemble-regression", "kernel_id": "336313"}, {"ref": "iamprateek/my-submission-to-predict-sale-price", "kernel_id": "446395"}, {"ref": "asmaaeltaher/learn-machine-learning", "kernel_id": "562422"}, {"ref": "sumanthrao/linear-reg-and-rf", "kernel_id": "698961"}, {"ref": "gpmurphy7/housing-prices-notebook", "kernel_id": "312231"}, {"ref": "reidcathcart/my-first-prediction-ames-housing-data-set", "kernel_id": "373931"}, {"ref": "theopainvin/predict-house-prices-using-elastic-lines", "kernel_id": "506714"}, {"ref": "rtatman/replicating-so-error", "kernel_id": "843755"}, {"ref": "rtatman/preparing-a-competition-submission-file-in-r", "kernel_id": "849482"}, {"ref": "rtatman/welcome-to-data-science-in-r-workbook", "kernel_id": "417489"}, {"ref": "abhijit96/housinprice-kernel", "kernel_id": "709306"}, {"ref": "jkamaumburu/welcome-to-data-science-in-r-workbook", "kernel_id": "933277"}, {"ref": "lehmkudc/prediction-of-house-prices-competition", "kernel_id": "322541"}, {"ref": "echooooo/feature-engineering-for-ames-home-prices", "kernel_id": "453341"}, {"ref": "sahilrider/house-on-sale", "kernel_id": "503950"}, {"ref": "holar9/house-price-with-random-forest-xgboost", "kernel_id": "372170"}, {"ref": "holar9/house-price-prediction-stacking-top-15-lb", "kernel_id": "396198"}, {"ref": "feixianhu/house-price-prediction", "kernel_id": "456422"}, {"ref": "rshally/ames-house-price-prediction-stage-i", "kernel_id": "317940"}, {"ref": "racot01/my-first-machine-learning-model", "kernel_id": "840872"}, {"ref": "superritesh/house-prices-data-exploration-and-visualisation", "kernel_id": "311081"}, {"ref": "superritesh/pca-and-regression", "kernel_id": "311082"}, {"ref": "kanirudh1/submitting-from-a-kernel", "kernel_id": "940550"}, {"ref": "mustafawaheed91/predicting-house-prices", "kernel_id": "324493"}, {"ref": "jestelrod/housing-predictions-jtr", "kernel_id": "704176"}, {"ref": "monoban/house-price-prediction-advanced-regression", "kernel_id": "567182"}, {"ref": "datasmnt/comprehensive-data-exploration-with-python", "kernel_id": "380024"}, {"ref": "berhag/house-sale-price-predictive-model", "kernel_id": "349570"}, {"ref": "browooro/simple-feature-engineering-selection-notebook", "kernel_id": "484474"}, {"ref": "ahmedabdulsalam/house-prices-prediction-interesting", "kernel_id": "509269"}, {"ref": "stevenpeutz/cleaning-missing-values-w-python-houseprice-data", "kernel_id": "350191"}, {"ref": "swapkh91/ensembling", "kernel_id": "344274"}, {"ref": "swapkh91/data-exploration-and-gbregressor", "kernel_id": "344123"}, {"ref": "forrealhomie/training-continuation-experiment", "kernel_id": "499342"}, {"ref": "amitkvikram/housing-prices1", "kernel_id": "383422"}, {"ref": "dimitreoliveira/house-prices-deep-learning-aproach-tensorflow", "kernel_id": "967291"}, {"ref": "dimitreoliveira/house-prices-eda-first-kernel", "kernel_id": "966745"}, {"ref": "hamzaashraf/eda-version-1", "kernel_id": "344267"}, {"ref": "lucabasa/house-price-detailed-data-exploration", "kernel_id": "791535"}, {"ref": "lucabasa/house-price-cleaning-without-dropping-features", "kernel_id": "682995"}, {"ref": "pulkit40/in-depth-analysis-and-imputation-of-missing-values", "kernel_id": "403085"}, {"ref": "nicktg/house-prices-beginner-s-walkthrough-and-tutorial", "kernel_id": "337966"}, {"ref": "nicktg/beginners-walkthrough-and-tutorial", "kernel_id": "337962"}, {"ref": "scube97/my-model-9218f0", "kernel_id": "661933"}, {"ref": "byron8899/my-first-machine-learning-model", "kernel_id": "807865"}, {"ref": "jamesdhope/recurrent-neural-net-for-mnist-competition", "kernel_id": "324145"}, {"ref": "mickeyt500/ames-housing-data-set-eda-first-pass", "kernel_id": "344758"}, {"ref": "sam28011997/notebook9030411946", "kernel_id": "323325"}, {"ref": "rgtemze/my-first-machine-learning-model", "kernel_id": "763499"}, {"ref": "drwilliamssteven/housing-data-random-forest", "kernel_id": "528653"}, {"ref": "nwhidden/ames-house-prices-regression-practice", "kernel_id": "852843"}, {"ref": "anupama2985/welcome-to-data-science-in-r-workbook", "kernel_id": "872688"}, {"ref": "aeevrubin/my-first-machine-learning-model-cae362", "kernel_id": "755209"}, {"ref": "amanit0812/my-model", "kernel_id": "547523"}, {"ref": "martaleptir/my-model", "kernel_id": "584642"}, {"ref": "miriambrandt/house-price-data-preparation", "kernel_id": "625898"}, {"ref": "lonelycrowd/my-first-machine-learning-model-4240a8", "kernel_id": "840639"}, {"ref": "divyanshuvats/kernelf2cd2ff126", "kernel_id": "697616"}, {"ref": "rwg5289/housing-regression", "kernel_id": "331686"}, {"ref": "jozeelin/comprehensive-data-exploration-with-python", "kernel_id": "577694"}, {"ref": "sunnynevarekar/kaggle-learn-2", "kernel_id": "613057"}, {"ref": "adonist/data-handling-explorating-for-linear-modeling", "kernel_id": "353985"}, {"ref": "nityeshaga/modelling-the-real-estate-scene-of-ames", "kernel_id": "938870"}, {"ref": "meenavyas/housingpricesadvancedregressiontechniques", "kernel_id": "628106"}, {"ref": "wangyong101/for-zhihu-sharing-only", "kernel_id": "550098"}, {"ref": "sudheer76235/detailed-data-analysis-ensemble-modeling", "kernel_id": "660746"}, {"ref": "couyang/hybrid-svm-benchmark-approach-0-11180-lb-top-2", "kernel_id": "789668"}, {"ref": "zehbart/housing-prices", "kernel_id": "578991"}, {"ref": "kabak09/feature-engineering", "kernel_id": "565776"}, {"ref": "eddfung/an-introduction-to-xgboostas", "kernel_id": "430503"}, {"ref": "eddfung/fail-case", "kernel_id": "445945"}, {"ref": "roniii/house-price-ron2", "kernel_id": "672614"}, {"ref": "roniii/step-step-with-emiliano", "kernel_id": "675199"}, {"ref": "lllleo/house-price-submission", "kernel_id": "422247"}, {"ref": "lllleo/house-price-first-submission-finished", "kernel_id": "422276"}, {"ref": "lschultebraucks/learn-machine-learning-level-1", "kernel_id": "918982"}, {"ref": "cocalekacode/my-model", "kernel_id": "562797"}, {"ref": "potamkin/my-first-machine-learning-model", "kernel_id": "682122"}, {"ref": "potamkin/comprehensive-data-exploration-with-python", "kernel_id": "679653"}, {"ref": "tcath2s/dnnregressor", "kernel_id": "351516"}, {"ref": "pomoooo/house-price-data-exploration", "kernel_id": "784501"}, {"ref": "telenoobies/chris-first-kernel", "kernel_id": "345945"}, {"ref": "san7911/salepricetest", "kernel_id": "746538"}, {"ref": "bsivavenu/house-price-calculation-methods-for-beginners", "kernel_id": "387120"}, {"ref": "snig12swain/what-is-missing", "kernel_id": "756696"}, {"ref": "agmd2565/fds-final-project", "kernel_id": "344628"}, {"ref": "l3r4nd/house-prices-prediction-plotly-eda", "kernel_id": "437791"}, {"ref": "justinminsk/my-model", "kernel_id": "545436"}, {"ref": "dejavu23/house-prices-eda-to-ml-beginner", "kernel_id": "872539"}, {"ref": "leblondmorgan/house-price-beginner-fork-6", "kernel_id": "374139"}, {"ref": "ramankrishna/my-model", "kernel_id": "591851"}, {"ref": "mathubhalang/my-ml-practise", "kernel_id": "950075"}, {"ref": "aman25goel/house-prices-lasso-elastic-net-xgboost-lightgbm", "kernel_id": "980131"}, {"ref": "ayushkaul/using-categorical-data-with-one-hot-encoding", "kernel_id": "559778"}, {"ref": "aha333/copy-from-alex-regularized-linear-models", "kernel_id": "363949"}, {"ref": "pradeeptripathi/predicting-house-prices-using-r", "kernel_id": "352800"}, {"ref": "zwenaing/housing-prices", "kernel_id": "501641"}, {"ref": "carmnejsu/feature-engineering-different-models", "kernel_id": "392067"}, {"ref": "brainmeat/my-first-machine-learning-model", "kernel_id": "841720"}, {"ref": "kngines/learning-to-use-xgboost", "kernel_id": "596589"}, {"ref": "kngines/handling-missing-values", "kernel_id": "596525"}, {"ref": "kngines/submitting-from-a-kernel", "kernel_id": "593843"}, {"ref": "kngines/starting-your-ml-project", "kernel_id": "593721"}, {"ref": "kngines/your-first-scikit-learn-model", "kernel_id": "593731"}, {"ref": "kngines/model-validation", "kernel_id": "593752"}, {"ref": "kngines/underfitting-overfitting-and-model-optimization", "kernel_id": "593777"}, {"ref": "kngines/random-forests", "kernel_id": "593835"}, {"ref": "sabupjoseph/my-first-machine-learning-model-4f886e", "kernel_id": "839812"}, {"ref": "sabupjoseph/handling-missing-values-house-prices-melb-iowa", "kernel_id": "779643"}, {"ref": "cesarjaitmanlabaton/home-prices-analysis", "kernel_id": "849217"}, {"ref": "imhgchoi/predict-how-much-the-house-worths", "kernel_id": "392771"}, {"ref": "nebelhom/house-prices-advanced-1st-try-ridge-regression", "kernel_id": "352952"}, {"ref": "beaubellamy/learning-stream-machine-learning-model-pt1", "kernel_id": "906724"}, {"ref": "hungdo1291/housing-price-sold", "kernel_id": "367086"}, {"ref": "bhetey/house-prices-ml", "kernel_id": "714470"}, {"ref": "janiobachmann/house-prices-useful-regression-techniques", "kernel_id": "558980"}, {"ref": "kamathnaveen/your-first-scikit-learn-model", "kernel_id": "795473"}, {"ref": "bharathboyapati/housing-price-with-linear-regression", "kernel_id": "454284"}, {"ref": "raoulma/house-price-prediction-0-11710-test-rms-error", "kernel_id": "533510"}, {"ref": "ekam123/using-categorical-data-with-one-hot-encoding", "kernel_id": "660400"}, {"ref": "fedonkin/house-prices-problem", "kernel_id": "681653"}, {"ref": "grainneb/data-exploration-and-modelling-in-r", "kernel_id": "356124"}, {"ref": "leilitum/house-prices-with-keras", "kernel_id": "391816"}, {"ref": "leilitum/house-price-with-xgboost", "kernel_id": "391991"}, {"ref": "jagadish1994/notebookc06ce7eb67", "kernel_id": "437378"}, {"ref": "grayengineering425/housing-prices-analysis", "kernel_id": "671291"}, {"ref": "vinzzhang/exploring-data-in-house-price", "kernel_id": "690360"}, {"ref": "gauravlingwal007/my-first-model-for-learning-in-machine-learning", "kernel_id": "503138"}, {"ref": "heinheuver/machine-learning-tutorial", "kernel_id": "819782"}, {"ref": "aimazin/welcome-to-data-science-in-r-workbook", "kernel_id": "891916"}, {"ref": "trininh/house-prices-prediction-notebook", "kernel_id": "896847"}, {"ref": "surya635/house-price-prediction", "kernel_id": "806239"}, {"ref": "ariesduanmu/submitting-from-a-kernel", "kernel_id": "999499"}, {"ref": "suhaskm/fork-of-fork-of-my-model-acc2b4", "kernel_id": "584526"}, {"ref": "dougdaly/house-price-modeling-with-random-forest-regressors", "kernel_id": "380515"}, {"ref": "vin1234/feature-engineering-of-house-prices-prediction", "kernel_id": "860787"}, {"ref": "leofunny/house", "kernel_id": "530463"}, {"ref": "superchen/house-price-prediction-by-cmy", "kernel_id": "544142"}, {"ref": "yashrshah/welcome-to-data-science-3", "kernel_id": "371528"}, {"ref": "sec147/linear-regression-again-but-more-features", "kernel_id": "659193"}, {"ref": "canid56/my-first-machine-learning-model", "kernel_id": "844282"}, {"ref": "bulblight/house-prices-let-s-predict-that-sales-price", "kernel_id": "404772"}, {"ref": "bulblight/linear-ridge-random-forest", "kernel_id": "484614"}, {"ref": "jagord24/project-1-techfundamentals", "kernel_id": "395082"}, {"ref": "elliothill/regression-project", "kernel_id": "417689"}, {"ref": "mmontgomery18/montgomery-project1", "kernel_id": "410126"}, {"ref": "mmontgomery18/project-2", "kernel_id": "484845"}, {"ref": "c7shekhar/house-price-data-analysis", "kernel_id": "410741"}, {"ref": "namagon/house-prices", "kernel_id": "961296"}, {"ref": "backtrack23/selecting-and-filtering-data-using-pandas", "kernel_id": "868397"}, {"ref": "backtrack23/house-prices-advanced-regression-techniques", "kernel_id": "806735"}, {"ref": "backtrack23/my-first-machine-learning-model-backtrack", "kernel_id": "782758"}, {"ref": "backtrack23/my-first-machine-learning-model", "kernel_id": "782615"}, {"ref": "backtrack23/my-first-machine-learning-model-ba74f6", "kernel_id": "782675"}, {"ref": "jayanthkaggle/basic-eda-with-visualizations-python", "kernel_id": "420610"}, {"ref": "nflszsd/project1", "kernel_id": "420319"}, {"ref": "bwdkaggle/house-prices-regression-kernel", "kernel_id": "664748"}, {"ref": "whiskyliu/5-day-data-challenge-day-1", "kernel_id": "405061"}, {"ref": "hamzaben/eda-feature-eng-and-model-blending-top-20", "kernel_id": "825964"}, {"ref": "studentar/machine-learning-project", "kernel_id": "684658"}, {"ref": "mariannap/my-first-machine-learning-model", "kernel_id": "774835"}, {"ref": "merymery512/model-for-house-prices", "kernel_id": "544214"}, {"ref": "xiangyongqiao/house-prices-eda", "kernel_id": "394976"}, {"ref": "frngo3/iowa-housing-prices", "kernel_id": "914657"}, {"ref": "laurenstc/top-2-of-leaderboard-advanced-fe", "kernel_id": "683327"}, {"ref": "sa30nitk/comprehensive-data-exploration-with-python", "kernel_id": "388034"}, {"ref": "itamarmushkin/kaggle-learn-notebook-lvl1", "kernel_id": "587381"}, {"ref": "xtianvillaruz/house-prices-prediction", "kernel_id": "664908"}, {"ref": "akshaysaxena323/comprehensive-data-exploration-with-python", "kernel_id": "669112"}, {"ref": "paultimothymooney/predict-housing-prices", "kernel_id": "658990"}, {"ref": "paultimothymooney/get-your-model-ready-to-submit", "kernel_id": "897450"}, {"ref": "chatterjeesajal6/housing-price-prediction", "kernel_id": "569400"}, {"ref": "hirenmayani/101-regression-stacking", "kernel_id": "711214"}, {"ref": "aemdemir/be-cmpe-343", "kernel_id": "962391"}, {"ref": "rajat0202/welcome-to-data-science-in-r-workbook-d1ec88", "kernel_id": "944791"}, {"ref": "vamsiramakrishnan/welcome-to-data-science-3", "kernel_id": "385065"}, {"ref": "tamatoa/house-prices-predicting-sales-price", "kernel_id": "395835"}, {"ref": "youngseoklee/house-price-prediction-with-randomforest-vs-lasso", "kernel_id": "432768"}, {"ref": "youngseoklee/house-price-prediction-with-numeric-only-dataset", "kernel_id": "410226"}, {"ref": "youngseoklee/basic", "kernel_id": "410228"}, {"ref": "youngseoklee/house-price-prediction-with-num-and-cat-dataset", "kernel_id": "427524"}, {"ref": "jprabhu/my-first-machine-learning-model", "kernel_id": "806705"}, {"ref": "sebastiangeorge/house-price-prediction", "kernel_id": "501105"}, {"ref": "ipg2014xxx/house-price-prediction", "kernel_id": "440469"}, {"ref": "sivarajh/house-prices", "kernel_id": "550362"}, {"ref": "brinda1/my-first-machine-learning-model", "kernel_id": "840648"}, {"ref": "reenanitr01/price-prediction-using-advance-regressors", "kernel_id": "565396"}, {"ref": "carolinfly0218/random-forests", "kernel_id": "677290"}, {"ref": "carolinfly0218/underfitting-overfitting-and-model-optimization", "kernel_id": "677223"}, {"ref": "carolinfly0218/selecting-and-filtering-in-pandas", "kernel_id": "668763"}, {"ref": "carolinfly0218/my-model", "kernel_id": "668407"}, {"ref": "carolinfly0218/model-validation", "kernel_id": "669140"}, {"ref": "carolinfly0218/your-first-scikit-learn-model", "kernel_id": "669078"}, {"ref": "qihouyingdream/my-model-2fdfbd", "kernel_id": "542918"}, {"ref": "samjrrr/house-prices-competition-entry-1", "kernel_id": "801987"}, {"ref": "luferau/my-model", "kernel_id": "405665"}, {"ref": "isamat/house-price-solution-with-lm-rf-and-xgb", "kernel_id": "487504"}, {"ref": "raman99/ml-model-house-price-prediction-kernel", "kernel_id": "872675"}, {"ref": "prathvimendon/fork-of-sample-code-try", "kernel_id": "549128"}, {"ref": "prathvimendon/sample-code-try", "kernel_id": "548885"}, {"ref": "anandad/housing-data-prediction-using-r", "kernel_id": "523276"}, {"ref": "harrytran0801/melbourne-housing-prediction", "kernel_id": "478843"}, {"ref": "ajit04/my-model-6c20cb", "kernel_id": "511115"}, {"ref": "sudheer259/house-price-prediction", "kernel_id": "498762"}, {"ref": "koheiotani/neural-network-model-for-house-prices-tensorflow", "kernel_id": "443376"}, {"ref": "anwarmohammad/housing-prices-prediction-using-r-anwar", "kernel_id": "620725"}, {"ref": "bossimuimu/submitting-from-a-kernel", "kernel_id": "889329"}, {"ref": "natashaarora/my-model", "kernel_id": "555875"}, {"ref": "yaseada/my-model", "kernel_id": "605728"}, {"ref": "gmishrakec/multi-regression-techniques", "kernel_id": "542980"}, {"ref": "hac123/my-model-05f1d8", "kernel_id": "537009"}, {"ref": "rogelioem/machine-learning-partial-dependence-plots", "kernel_id": "966853"}, {"ref": "rogelioem/machine-learning-pipelines", "kernel_id": "968351"}, {"ref": "rogelioem/machine-learning-xgboost", "kernel_id": "966760"}, {"ref": "rogelioem/machine-learning-missing-data-one-hot-encoding", "kernel_id": "948383"}, {"ref": "rogelioem/my-first-machine-learning-model", "kernel_id": "937927"}, {"ref": "salaheddine/a-very-simple-random-forest-model-0-14", "kernel_id": "448681"}, {"ref": "gowthamteja/fork-of-welcome-to-data-science-in-r-workbook", "kernel_id": "864825"}, {"ref": "krishnamsheth31/house-prices-advanced-regression-techniques", "kernel_id": "843089"}, {"ref": "hainan/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "503521"}, {"ref": "godofnoobs/starting-your-ml-project", "kernel_id": "407583"}, {"ref": "devendray/reg-techniques-xgboost-ridge-gbr-random-forest", "kernel_id": "537241"}, {"ref": "sabahkarim/house-price-prediction-lasso-regression-0-1265", "kernel_id": "797456"}, {"ref": "svobodnik86/house-prices-lasso-and-xgboost", "kernel_id": "691361"}, {"ref": "rohan1chaudhari/house-price-prediction-tree-model", "kernel_id": "401215"}, {"ref": "az5872/adadada", "kernel_id": "469970"}, {"ref": "lidlurch/welcome-to-data-science-in-r", "kernel_id": "688767"}, {"ref": "gimurthy/experiment-data-modeling-regression-techniques", "kernel_id": "543258"}, {"ref": "adityajeitly/house-prices-prediction-via-random-forest", "kernel_id": "628556"}, {"ref": "dyugesh/yugesh-house-price-advanced-price-prediction", "kernel_id": "613046"}, {"ref": "sistasp/housing-prices-regression-techniques", "kernel_id": "537995"}, {"ref": "somireddy/notebook78e8f74ca2", "kernel_id": "524287"}, {"ref": "poornapallela/house-prices-poorna", "kernel_id": "523171"}, {"ref": "rirodrig/house-prices-prediction-random-forest", "kernel_id": "568899"}, {"ref": "theredbaron/comprehensive-data-exploration-with-python", "kernel_id": "425660"}, {"ref": "nishamishra/house-price-prediction", "kernel_id": "538821"}, {"ref": "ashwinikrajulapati/pandas-data-wrangling", "kernel_id": "493689"}, {"ref": "ashwinikrajulapati/housing-prices-advanced-regression-techniques", "kernel_id": "542562"}, {"ref": "ravirk66/house-price-prediction", "kernel_id": "518433"}, {"ref": "khushboosrivastava2/house-price-prediction-final", "kernel_id": "512291"}, {"ref": "khushboosrivastava2/house-prices-prediction", "kernel_id": "512314"}, {"ref": "rohankale/rohan-kale-house-pricing", "kernel_id": "618346"}, {"ref": "gmailpawan/house-pricing-skew-reduction-technique", "kernel_id": "596891"}, {"ref": "rohitmathur100/housing-regression", "kernel_id": "541954"}, {"ref": "nidhiw/house-pricing", "kernel_id": "562284"}, {"ref": "imrandude/pcamix-and-random-forest-score-0-15832", "kernel_id": "506639"}, {"ref": "jeesaugustine/handling-missing-values", "kernel_id": "777508"}, {"ref": "samirsamal007/sam-housing-price-predictions", "kernel_id": "568768"}, {"ref": "akash07sky/house-pricing-prediction-using-randomforest", "kernel_id": "570784"}, {"ref": "sahilyagnik/prediction-with-random-forest-regression-method", "kernel_id": "566940"}, {"ref": "sandeshak/house-price-prediction", "kernel_id": "541969"}, {"ref": "ataneja2/house-prices-prediction", "kernel_id": "741686"}, {"ref": "tminhkc/submitting-from-a-kernel", "kernel_id": "863289"}, {"ref": "tminhkc/handling-missing-values", "kernel_id": "863648"}, {"ref": "somtom/house-prices-analysis-cleaning-modeling", "kernel_id": "584499"}, {"ref": "codeteo/my-model", "kernel_id": "424463"}, {"ref": "bwboerman/r-data-table-glmnet-xgboost-with-caret", "kernel_id": "587849"}, {"ref": "asrsaiteja/predicting-house-prices-using-random-forests", "kernel_id": "701394"}, {"ref": "asrsaiteja/my-first-ml-model-predict-house-prices", "kernel_id": "693552"}, {"ref": "manfredipivetta/my-first-machine-learning-model", "kernel_id": "840539"}, {"ref": "eyan422/starting-your-ml-project", "kernel_id": "798864"}, {"ref": "eyan422/learning-to-use-xgboost", "kernel_id": "820702"}, {"ref": "eyan422/using-categorical-data-with-one-hot-encodin-f2985e", "kernel_id": "819891"}, {"ref": "eyan422/using-categorical-data-with-one-hot-encoding", "kernel_id": "818570"}, {"ref": "eyan422/model-validation", "kernel_id": "816101"}, {"ref": "eyan422/selecting-and-filtering-in-pandas", "kernel_id": "815674"}, {"ref": "eyan422/your-first-scikit-learn-model", "kernel_id": "815950"}, {"ref": "eyan422/random-forests", "kernel_id": "816529"}, {"ref": "eyan422/submitting-from-a-kernel", "kernel_id": "816601"}, {"ref": "eyan422/underfitting-overfitting-and-model-optimization", "kernel_id": "816467"}, {"ref": "eyan422/handling-missing-values", "kernel_id": "816976"}, {"ref": "omsairam/exploration-how-to-make-some-predictions", "kernel_id": "415589"}, {"ref": "dalinabivolan/my-first-machine-learning-model", "kernel_id": "977714"}, {"ref": "honggulin/predict-house-price", "kernel_id": "449313"}, {"ref": "rgupta09/house-prices-prediction-regression", "kernel_id": "620429"}, {"ref": "keshavfarmaha249/full-model-building-housing-prices-python", "kernel_id": "701664"}, {"ref": "nikhil04/house-price-analyser-nikhil", "kernel_id": "700128"}, {"ref": "azzion/amazing-performances-with-lasso-rf-and-xgboost", "kernel_id": "717047"}, {"ref": "farbodtaymouri/house-prices-applied-machine-learning", "kernel_id": "433271"}, {"ref": "bhagyashreek/house-sale-price-prediction-using-pca", "kernel_id": "432514"}, {"ref": "cryptokitten/my-first-machine-learning-model", "kernel_id": "763006"}, {"ref": "cryptokitten/iowa-housing-prices-categorical-data", "kernel_id": "779819"}, {"ref": "rohitjain2086/house-price-prediction-using-ml-techniques-h2o-ai", "kernel_id": "552114"}, {"ref": "leonidasoikonomou/my-second-machine-learning-model2", "kernel_id": "863991"}, {"ref": "thegambitier/machine-learning-level-1", "kernel_id": "998724"}, {"ref": "jasonduncanwilson/predicting-iowa-house-prices", "kernel_id": "918993"}, {"ref": "jasonduncanwilson/exercise-ml-models-for-iowa-house-prices", "kernel_id": "844026"}, {"ref": "pradnyak/fork-of-housing-price-analysis-v1", "kernel_id": "458364"}, {"ref": "pradnyak/housing-price-analysis-v1", "kernel_id": "456203"}, {"ref": "liangxuchen/house-price", "kernel_id": "703239"}, {"ref": "laxmikanth/ames-houses", "kernel_id": "501101"}, {"ref": "crazybeaver/data-preprocessing", "kernel_id": "478975"}, {"ref": "anniepi/detailed-n-a-imputation-for-house-prices", "kernel_id": "846891"}, {"ref": "skosterin88/house-prices-with-ridge-huber-regressions", "kernel_id": "450292"}, {"ref": "hillabehar/house-pricing-analysis-and-prediction", "kernel_id": "490070"}, {"ref": "venky19791978/my-first-machine-learning-model-7be34c", "kernel_id": "874524"}, {"ref": "venky19791978/machine-learning-model-level2", "kernel_id": "879573"}, {"ref": "grrddm/an-eda-on-housing", "kernel_id": "755536"}, {"ref": "virtonos/housing-prices-forecasts", "kernel_id": "569245"}, {"ref": "satavisharoy/my-model", "kernel_id": "422205"}, {"ref": "xuanzz/stacked-regressions-top-4-on-leaderboard", "kernel_id": "463793"}, {"ref": "ruchika05/advanced-regression-techniques-random-forest", "kernel_id": "547665"}, {"ref": "niklasdonges/predict-housing-prices-with-elasticnet", "kernel_id": "877561"}, {"ref": "colecola/eksik-veriler-ve-z-m-y-ntemleri", "kernel_id": "581322"}, {"ref": "colecola/my-submitting-from-a-kernel", "kernel_id": "556529"}, {"ref": "colecola/model-validation-dogrulama-with-train-test-split", "kernel_id": "554422"}, {"ref": "colecola/underfitting-overfitting-ve-model-optimizationu", "kernel_id": "554925"}, {"ref": "colecola/my-random-forests-sample", "kernel_id": "555031"}, {"ref": "colecola/my-first-scikit-learn-model-python", "kernel_id": "548033"}, {"ref": "colecola/my-model-validation-study", "kernel_id": "549841"}, {"ref": "renatabarros/predicting-house-sale-prices-in-melbourne", "kernel_id": "931335"}, {"ref": "sumanthpolisetty/my-model", "kernel_id": "507234"}, {"ref": "bashamsc/prediction-using-decision-tree-0-244", "kernel_id": "454415"}, {"ref": "gcolbert/how-many-ensemble-methods-does-it-take", "kernel_id": "939433"}, {"ref": "daisukesatow/predict-housing-price", "kernel_id": "437773"}, {"ref": "mandyedi/my-first-machine-learning-model", "kernel_id": "974876"}, {"ref": "mandyedi/model-validation", "kernel_id": "979986"}, {"ref": "mandyedi/your-first-scikit-learn-model", "kernel_id": "979626"}, {"ref": "mandyedi/selecting-and-filtering-in-pandas", "kernel_id": "979574"}, {"ref": "anticsishere/my-first-machine-learning-model", "kernel_id": "936013"}, {"ref": "lskr802/my-model", "kernel_id": "542329"}, {"ref": "lskr802/my-mmodel", "kernel_id": "542549"}, {"ref": "harpreetvishnoi/fork-of-my-model", "kernel_id": "446608"}, {"ref": "gmilleratkins/my-first-machine-learning-model", "kernel_id": "841801"}, {"ref": "rajeshkanagaraj/real-estate-pricing-prediction", "kernel_id": "700176"}, {"ref": "sadhanar/prediction-using-ridge-and-lasso", "kernel_id": "862667"}, {"ref": "syedbilal5000/house-prices", "kernel_id": "699262"}, {"ref": "easbiikhsan/welcome-to-data-science-in-r-workbook", "kernel_id": "784460"}, {"ref": "daztron/my-first-machine-learning-model", "kernel_id": "753257"}, {"ref": "agoila/housing-price-prediction-with-kaggle-learn", "kernel_id": "557940"}, {"ref": "umutozdemir/house-price-predictions", "kernel_id": "480837"}, {"ref": "amarpreetsingh/house-prices-prediction-a-beginner-s-guide", "kernel_id": "449928"}, {"ref": "rbyron/simple-linear-regression-models", "kernel_id": "549600"}, {"ref": "fabulinus/machine-learning-model-rakesh-thoppaen-level1", "kernel_id": "778589"}, {"ref": "fabulinus/step-by-step-tutorial", "kernel_id": "788506"}, {"ref": "bw0282/house-price-prediction-with-xgb", "kernel_id": "708428"}, {"ref": "marduk4ever/fork-of-finding-your-files-in-kaggle-kernels", "kernel_id": "650291"}, {"ref": "sudha90singh51/housing-prediction", "kernel_id": "440618"}, {"ref": "vishalbali/pcamix-randforest-house-prices-adv-reg-tech", "kernel_id": "569500"}, {"ref": "pedrofc/house-pricing-exercise", "kernel_id": "702729"}, {"ref": "aschwin/house-pricing-cleaning-predictions", "kernel_id": "519310"}, {"ref": "natashasavc/housing-price-predictions-n-n", "kernel_id": "668189"}, {"ref": "shneeder/my-first-machine-learning-model", "kernel_id": "717288"}, {"ref": "rusjian/house-prices-xgboost", "kernel_id": "443699"}, {"ref": "ishayg/random-forest-with-default-parameters", "kernel_id": "450921"}, {"ref": "m9harv/machine-learning-lesson-kaggle-learn", "kernel_id": "614801"}, {"ref": "polly7451/welcome-to-data-science-in-r-workbook", "kernel_id": "999612"}, {"ref": "jonnymoolow/house-price-prediction", "kernel_id": "693995"}, {"ref": "lyb525615045/comprehensive-data-exploration-with-python", "kernel_id": "457684"}, {"ref": "lyb525615045/comprehensive-data-exploration-with-python-2781e3", "kernel_id": "458513"}, {"ref": "zeyichao/get-top-8", "kernel_id": "460830"}, {"ref": "asparuhhristov/cheatbook", "kernel_id": "712180"}, {"ref": "dataartist99/my-model-22855d", "kernel_id": "453133"}, {"ref": "laurenmarie09/beginner-random-forest-model", "kernel_id": "476788"}, {"ref": "vikasbz/housing-prices", "kernel_id": "665957"}, {"ref": "vikasbz/housing-prices-random-forest-submissions", "kernel_id": "668064"}, {"ref": "erikbruin/house-prices-lasso-xgboost-and-a-detailed-eda", "kernel_id": "699704"}, {"ref": "pagedavid/my-first-machine-learning-model", "kernel_id": "837466"}, {"ref": "farhankarim1/predict-hous-prices-using-linear-regression", "kernel_id": "515115"}, {"ref": "ziwang664741/housing-price-with-linear-regression-7aeaa7", "kernel_id": "455454"}, {"ref": "alexandrarp/house-price-predict-76c03f", "kernel_id": "470504"}, {"ref": "sams101/welcome-to-data-science-in-r-workbook-9de621", "kernel_id": "899232"}, {"ref": "triple777er/base-submission", "kernel_id": "548879"}, {"ref": "plasticgrammer/house-prices-prediction-playground", "kernel_id": "718219"}, {"ref": "areida/fork-of-your-first-scikit-learn-model", "kernel_id": "975724"}, {"ref": "areida/your-first-scikit-learn-model", "kernel_id": "975719"}, {"ref": "areida/starting-your-ml-project-762c59", "kernel_id": "975606"}, {"ref": "areida/submitting-from-a-kernel", "kernel_id": "975607"}, {"ref": "areida/learning-to-use-xgboost", "kernel_id": "987214"}, {"ref": "arunvasa416/linear-regression-using-r", "kernel_id": "828898"}, {"ref": "adranale/comprehensive-data-exploration-with-python", "kernel_id": "459889"}, {"ref": "biogeos/houseprices-rf", "kernel_id": "463489"}, {"ref": "dhaval117/first-attempt-at-model-after-dansbecker", "kernel_id": "464697"}, {"ref": "buchan75/my-first-competition-housing-price", "kernel_id": "768573"}, {"ref": "adachowicz/house-prices-random-forest-regression-analysis", "kernel_id": "462016"}, {"ref": "mnoori/feature-selection-for-mlr-with-python", "kernel_id": "534241"}, {"ref": "shyamhwp/trial-submission-1-iowa-housing-data-prediction", "kernel_id": "572016"}, {"ref": "bg81011/beginner-s-house-pricing-prediction-keras", "kernel_id": "466648"}, {"ref": "yangpengylj/fork-of-house", "kernel_id": "917010"}, {"ref": "djapydev/first-ml-model", "kernel_id": "931558"}, {"ref": "ujwalv/my-first-machine-learning-model-422f80", "kernel_id": "824791"}, {"ref": "vaibss/xgboosted-algo-for-house-pricing", "kernel_id": "918320"}, {"ref": "vaibss/my-first-machine-learning-model", "kernel_id": "838186"}, {"ref": "ganeshtmv/machine-learning-intro-from-kaggle", "kernel_id": "768329"}, {"ref": "naka13yy/house-prices", "kernel_id": "499792"}, {"ref": "tomahim/data-analysis-preprocessing-and-price-prediction", "kernel_id": "755053"}, {"ref": "gulmira/1-model", "kernel_id": "560836"}, {"ref": "jerry390/comprehensive-data-exploration-with-python-daa24f", "kernel_id": "498843"}, {"ref": "hkhsieh/exploring-the-data", "kernel_id": "512190"}, {"ref": "imgurnoor/fork-of-handling-missing-values", "kernel_id": "995158"}, {"ref": "imgurnoor/my-first-machine-learning-model-8473c4", "kernel_id": "983502"}, {"ref": "y2kshehan/comparing-different-regression-models", "kernel_id": "506087"}, {"ref": "mikeckane7/housing-regression-my-model-mk-modified", "kernel_id": "479817"}, {"ref": "yangwb/my-model-9d4c9d", "kernel_id": "490270"}, {"ref": "yangwb/fork-of-submitting-from-a-kernel", "kernel_id": "491019"}, {"ref": "sarvajna/selecting-and-filtering-in-pandas", "kernel_id": "680295"}, {"ref": "bhavya5491/notebook6b91ea645a", "kernel_id": "575248"}, {"ref": "bhavya5491/housing-prediction-1", "kernel_id": "541831"}, {"ref": "hdnguyenfl/advanced-regression-on-house-prices-in-ames", "kernel_id": "521450"}, {"ref": "kobi23/my-home-is-my-castle-an-extensive-view", "kernel_id": "719470"}, {"ref": "kahvinksy/my-model", "kernel_id": "542229"}, {"ref": "tyoshinaga/house-prices-linearregression-model", "kernel_id": "483307"}, {"ref": "pdxcardinal78/my-first-machine-learning-model", "kernel_id": "837134"}, {"ref": "pdxcardinal78/iowa-housing-data-competition-lml-level2", "kernel_id": "845202"}, {"ref": "myselfuma/house-price-prediction-regression", "kernel_id": "914283"}, {"ref": "aksmlatk/my-first-machine-learning-model", "kernel_id": "983621"}, {"ref": "orangemo/notebook05d4cdfe2b", "kernel_id": "574672"}, {"ref": "wiznoo/titanic-prediction-using-svm", "kernel_id": "502688"}, {"ref": "marcosco/kernel755d6ca319", "kernel_id": "628807"}, {"ref": "balrams/iowa-housing-analysis", "kernel_id": "782291"}, {"ref": "abrenna/welcome-to-data-science-in-r-workbook", "kernel_id": "826139"}, {"ref": "shiveshsky/my-first-machine-learning-model", "kernel_id": "852341"}, {"ref": "ranrancao/random-forests", "kernel_id": "795944"}, {"ref": "ranrancao/using-categorical-data-with-one-hot-encoding", "kernel_id": "806864"}, {"ref": "ranrancao/learning-to-use-xgboost", "kernel_id": "805162"}, {"ref": "ranrancao/handling-missing-values", "kernel_id": "775466"}, {"ref": "siddarthareddyt/house-prices-regression", "kernel_id": "510322"}, {"ref": "dnt1024/my-first-machine-learning-model", "kernel_id": "822844"}, {"ref": "letstango/cart-exploration", "kernel_id": "696237"}, {"ref": "omarayman/decision-tree-and-random-forest-modeling", "kernel_id": "548329"}, {"ref": "cbleone/my-first-machine-learning-model", "kernel_id": "696079"}, {"ref": "cbleone/selecting-and-filtering-in-pandas", "kernel_id": "696156"}, {"ref": "danielrajamanohar/decisiontreeregressor", "kernel_id": "548610"}, {"ref": "sandeepcr01/iowa-house-price-ml", "kernel_id": "709184"}, {"ref": "aishwarya09/my-first-machine-learning-model", "kernel_id": "847355"}, {"ref": "rakesh6184/starting-your-ml-project", "kernel_id": "672837"}, {"ref": "rakesh6184/your-first-scikit-learn-model-ba135c", "kernel_id": "670894"}, {"ref": "rakesh6184/random-forests", "kernel_id": "670913"}, {"ref": "rakesh6184/submitting-from-a-kernel", "kernel_id": "670917"}, {"ref": "rakesh6184/model-validation", "kernel_id": "670875"}, {"ref": "rakesh6184/underfitting-overfitting-and-model-optimization", "kernel_id": "670884"}, {"ref": "fz267671/regularized-linear-models", "kernel_id": "546149"}, {"ref": "xdg988/my-first-kernel-house-price-0-11874-top15", "kernel_id": "804393"}, {"ref": "rbk2145/my-model1", "kernel_id": "547207"}, {"ref": "rbk2145/handling-missing-values", "kernel_id": "578530"}, {"ref": "ozcandemirbas/m-adaptive-regression-spline-easy-open-to-improve", "kernel_id": "581219"}, {"ref": "jasonshin/notebook55023a8da6", "kernel_id": "553300"}, {"ref": "jasonshin/simple-house-price-prediction", "kernel_id": "551856"}, {"ref": "meininghang/submitting-from-a-kernel", "kernel_id": "770768"}, {"ref": "meininghang/model-validation", "kernel_id": "770504"}, {"ref": "meininghang/starting-your-ml-project", "kernel_id": "770278"}, {"ref": "meininghang/selecting-and-filtering-in-pandas", "kernel_id": "770362"}, {"ref": "komerasriharsha/house-prices-data-exploration-data-prediction", "kernel_id": "522350"}, {"ref": "agcdufeliyu/try-again-top29", "kernel_id": "541612"}, {"ref": "phopen/handling-missing-values-ddf0da", "kernel_id": "618396"}, {"ref": "talismanic/houseprice", "kernel_id": "515921"}, {"ref": "skbot07/house-prices-advanced-regression-techniques", "kernel_id": "549087"}, {"ref": "sercanesen/machine-learning-notes-1", "kernel_id": "543613"}, {"ref": "nyamnyam/my-first-step-eda-for-house-prices-dataset", "kernel_id": "981476"}, {"ref": "leonardkulms/my-first-machine-learning-model", "kernel_id": "758599"}, {"ref": "shettyh/my-first-machine-learning-model", "kernel_id": "934031"}, {"ref": "ykakde/predict-sale-prize", "kernel_id": "555779"}, {"ref": "samirahman/house-prices-advanced-regression-techniques", "kernel_id": "559755"}, {"ref": "kubrakutlu/ml-level1", "kernel_id": "624857"}, {"ref": "aftergod/my-first-kaggle-competition", "kernel_id": "688589"}, {"ref": "nirajkadam/your-first-scikit-learn-model", "kernel_id": "783902"}, {"ref": "nirajkadam/model-validation", "kernel_id": "785180"}, {"ref": "nirajkadam/my-first-machine-learning-model", "kernel_id": "781089"}, {"ref": "nirajkadam/starting-your-ml-project", "kernel_id": "780832"}, {"ref": "nirajkadam/underfitting-overfitting-and-model-optimization", "kernel_id": "796198"}, {"ref": "fearun/submitting-from-a-kernel", "kernel_id": "574732"}, {"ref": "kranthikumar9625/my-first-machine-learning-model-9cba21", "kernel_id": "765498"}, {"ref": "sasa297/random-forest", "kernel_id": "723895"}, {"ref": "baba1mol/my-model", "kernel_id": "575106"}, {"ref": "dorisgu/notebookb5ec2b15f1", "kernel_id": "529545"}, {"ref": "dwscrub/my-first-machine-learning-model", "kernel_id": "971731"}, {"ref": "nilaypatel23/houseprice-data", "kernel_id": "592789"}, {"ref": "alvaruco/my-model-6c20cb", "kernel_id": "532291"}, {"ref": "ssingh1/welcome-to-data-science-in-r-workbook", "kernel_id": "822296"}, {"ref": "vite99999/bo-s-house-price-prediction-w-lasso", "kernel_id": "558353"}, {"ref": "gasymrepresent2018/my-first-machine-learning-model", "kernel_id": "738481"}, {"ref": "kradio3/my-first-machine-learning-model", "kernel_id": "682839"}, {"ref": "yjhnnn/basic-linear-regression-gradient-descent", "kernel_id": "546358"}, {"ref": "kmn5409/my-model", "kernel_id": "552296"}, {"ref": "harish0/my-model", "kernel_id": "548359"}, {"ref": "yeebeen/my-model", "kernel_id": "570424"}, {"ref": "zttkaggle/notebooke526b8c326", "kernel_id": "543462"}, {"ref": "chenyu2018/a-hahaha", "kernel_id": "536537"}, {"ref": "gzembrowski/my-model-nr-one-lesson", "kernel_id": "560257"}, {"ref": "arka111/fork-of-my-model", "kernel_id": "618997"}, {"ref": "arka111/my-model", "kernel_id": "612688"}, {"ref": "nomanmulla/house-price-prediction", "kernel_id": "690647"}, {"ref": "kxs1729/house-price-prediction-random-forest", "kernel_id": "626721"}, {"ref": "demolamalomz/my-model-tutorial", "kernel_id": "544177"}, {"ref": "aditee/notebookab213d1bf0", "kernel_id": "556576"}, {"ref": "filipeguelber/my-model-4fd503", "kernel_id": "613327"}, {"ref": "rberger997/my-model", "kernel_id": "542314"}, {"ref": "amitregmi/stacking-ensemble-model-house-pricing-regression", "kernel_id": "553371"}, {"ref": "ericbenhamou/my-first-machine-learning-model-up-to-submission", "kernel_id": "979801"}, {"ref": "chenming66/kernela48da5bfcc", "kernel_id": "723114"}, {"ref": "sanjeevgaut/my-first-machine-learning-model-3f00ad", "kernel_id": "965234"}, {"ref": "asrrhmn/ml-exercise-method-randomforest", "kernel_id": "574779"}, {"ref": "monster22/house-pricing-prediction-score-0-15", "kernel_id": "778447"}, {"ref": "shixiangwang/aha-first-notebook-try", "kernel_id": "846052"}, {"ref": "monjolinho/welcome-to-data-science-in-r-workbook-final", "kernel_id": "722853"}, {"ref": "libihui422/my-model", "kernel_id": "564160"}, {"ref": "abdurahim/model-validation", "kernel_id": "834653"}, {"ref": "abdurahim/underfitting-overfitting-and-model-optimization", "kernel_id": "834659"}, {"ref": "abdurahim/random-forests", "kernel_id": "834694"}, {"ref": "abdurahim/learning-to-use-xgboost", "kernel_id": "834704"}, {"ref": "mohdbarakat/house-prices-ensembled-prediction-models", "kernel_id": "762452"}, {"ref": "acmerseal/predicting-saleprice-of-iowa-homes", "kernel_id": "566640"}, {"ref": "pavansanagapati/automated-hyperparameter-tuning", "kernel_id": "811347"}, {"ref": "pavansanagapati/tableau-intro-use-cases", "kernel_id": "863414"}, {"ref": "ejyksokoye/handling-missing-values", "kernel_id": "559180"}, {"ref": "wenjing1995/my-model", "kernel_id": "591584"}, {"ref": "antoniopieri/house-price-prediction-ml-concepts-notes-pt-1", "kernel_id": "999298"}, {"ref": "aishanhang/house-predict-third", "kernel_id": "871476"}, {"ref": "aishanhang/house-predict-second", "kernel_id": "857595"}, {"ref": "aishanhang/house-predict-rf", "kernel_id": "846132"}, {"ref": "lespin/houseprices", "kernel_id": "662849"}, {"ref": "alabhishek/albert-s-first-data-model-notebook", "kernel_id": "953111"}, {"ref": "essahmed/my-model-fa2308", "kernel_id": "620625"}, {"ref": "lakshay2395/first-model-using-random-forest-lakshay2395", "kernel_id": "551721"}, {"ref": "sarachak16/handling-missing-values", "kernel_id": "555379"}, {"ref": "ehsanmag/kaggle-ml-tutorial", "kernel_id": "842842"}, {"ref": "afanis/my-first-machine-learning-model-ff03ee", "kernel_id": "763048"}, {"ref": "afanis/submitting-from-a-kernel", "kernel_id": "764096"}, {"ref": "faisalbajudah/my-model-level-1", "kernel_id": "563938"}, {"ref": "clare3/1a-my-model", "kernel_id": "557039"}, {"ref": "clare3/1c-fork-of-fork-of-my-model", "kernel_id": "595096"}, {"ref": "clare3/1b-fork-of-my-model", "kernel_id": "594996"}, {"ref": "rishabh570/random-forest", "kernel_id": "562272"}, {"ref": "luisc9/my-model-7e31dc", "kernel_id": "571415"}, {"ref": "pamelafox/machine-learning-part-2", "kernel_id": "630094"}, {"ref": "farhanmd29/house-prices-model-validation", "kernel_id": "930062"}, {"ref": "fillingspaces/my-model", "kernel_id": "596449"}, {"ref": "zhujin1993/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "578407"}, {"ref": "zhujin1993/starting-your-ml-project", "kernel_id": "558550"}, {"ref": "songckaggle/my-first-machine-learning-model", "kernel_id": "872370"}, {"ref": "oniliste/my-model-11450b", "kernel_id": "561935"}, {"ref": "antrellbanes/using-categorical-data-with-one-hot-encoding", "kernel_id": "961979"}, {"ref": "antrellbanes/using-categorical-data-with-one-hot-encoding-1", "kernel_id": "927079"}, {"ref": "dingxy/my-model", "kernel_id": "560674"}, {"ref": "nutanlade/my-first-housing-model", "kernel_id": "577998"}, {"ref": "dechene/firstmodeltest", "kernel_id": "577562"}, {"ref": "guilhermesantana/house-price", "kernel_id": "662946"}, {"ref": "gar283/machine-learning-practice-based-on-housing-data", "kernel_id": "573913"}, {"ref": "linlly/my-model", "kernel_id": "567069"}, {"ref": "vrndandu/my-first-machine-learning-model", "kernel_id": "689001"}, {"ref": "harisriaz17/my-model", "kernel_id": "567512"}, {"ref": "piyusharma95/handling-missing-values-911cc0", "kernel_id": "581383"}, {"ref": "gabrielmlg/solution-house-prices", "kernel_id": "913510"}, {"ref": "hiralmshah/my-model-houseprices-prediction", "kernel_id": "576027"}, {"ref": "tolkien/one-hour-analysis-study-only", "kernel_id": "716233"}, {"ref": "lucasfichou/test1", "kernel_id": "572622"}, {"ref": "saharmillis/my-model", "kernel_id": "568981"}, {"ref": "ltparthur/price-predicting-of-houses-in-iowa", "kernel_id": "580962"}, {"ref": "loayu162/housing-competition", "kernel_id": "807458"}, {"ref": "xiaoyan1885/selecting-and-filtering-in-pandas", "kernel_id": "572231"}, {"ref": "tomide/stacked-regressions-top-4-on-leaderboard", "kernel_id": "840741"}, {"ref": "komal01/first-step-in-machine-learning", "kernel_id": "570967"}, {"ref": "huanvo/my-model", "kernel_id": "668868"}, {"ref": "mikelkn/my-first-model", "kernel_id": "580854"}, {"ref": "mikekrisko/my-model", "kernel_id": "573397"}, {"ref": "pushkarsaxena96/my-machine-learning-model", "kernel_id": "769397"}, {"ref": "petrokulbida/my-model", "kernel_id": "613902"}, {"ref": "deepthoughtdasc/welcome-to-data-science-in-r-workbook", "kernel_id": "967074"}, {"ref": "richard0326/flowing-machine-learning-tutorial", "kernel_id": "582975"}, {"ref": "dodonghe/starting-your-ml-project-754076", "kernel_id": "584900"}, {"ref": "ruchikagarg94/your-first-scikit-learn-model", "kernel_id": "583540"}, {"ref": "mmilovec/my-model-0bcc7e", "kernel_id": "591744"}, {"ref": "chemssou/house-prices-model", "kernel_id": "596878"}, {"ref": "vikaskodag/my-model-64586d", "kernel_id": "592018"}, {"ref": "martusix/fork-of-fork-of-my-model", "kernel_id": "628922"}, {"ref": "lizdenhup/my-model", "kernel_id": "587958"}, {"ref": "fleanend/linear-regression-with-gradient-descent-in-2d", "kernel_id": "778947"}, {"ref": "musharrafleo94/real-for-competetion", "kernel_id": "595342"}, {"ref": "hashbanger/comprehensive-data-analysis-for-housing-prices", "kernel_id": "817025"}, {"ref": "hashbanger/fork-of-fork-of-fork-of-comprehensive-data-explora", "kernel_id": "813791"}, {"ref": "murgen974/welcome-to-data-science-in-r-workbook", "kernel_id": "802809"}, {"ref": "bhargav115/my-house-test-model-iowa-house-model", "kernel_id": "591923"}, {"ref": "swapu260/my-first-machine-learning-model", "kernel_id": "698715"}, {"ref": "rickychwong/a-beginner-s-kernel", "kernel_id": "650367"}, {"ref": "dvitale/my-model-f9a7bd", "kernel_id": "659629"}, {"ref": "smartmaz/house-prices-predictor-machine-learning-model", "kernel_id": "757129"}, {"ref": "smartmaz/handling-missing-values", "kernel_id": "765614"}, {"ref": "smartmaz/train-house-prices-predictor-machine-learning", "kernel_id": "912136"}, {"ref": "sky369/house-predictions", "kernel_id": "636483"}, {"ref": "playmonkey/kernel5df0f74656", "kernel_id": "691572"}, {"ref": "jgerebelo/ml-tutorial-modelling-iowa-s-housing-market", "kernel_id": "727548"}, {"ref": "sdwray/learning-decision-trees-machine-learning-path", "kernel_id": "598505"}, {"ref": "maticortes/learning-to-use-xgboost", "kernel_id": "745840"}, {"ref": "maticortes/learning-to-use-xgboost-iowa-data", "kernel_id": "745841"}, {"ref": "maticortes/handling-missing-values-iowa-data", "kernel_id": "734582"}, {"ref": "maticortes/categorical-data-with-one-hot-encoding-iowa-data", "kernel_id": "734800"}, {"ref": "maticortes/house-prices", "kernel_id": "598566"}, {"ref": "aicharacil/my-first-machine-learning-model-37b44d", "kernel_id": "870682"}, {"ref": "bcalder12/ml-learning-model-level-1", "kernel_id": "700925"}, {"ref": "kentaasvang/my-first-machine-learning-model", "kernel_id": "799331"}, {"ref": "nbuhagiar/my-first-machine-learning-model", "kernel_id": "847767"}, {"ref": "nbuhagiar/handling-missing-values", "kernel_id": "877634"}, {"ref": "nbuhagiar/welcome-to-data-science-in-r-workbook", "kernel_id": "973445"}, {"ref": "nbuhagiar/predicting-house-prices-with-gradient-boosting", "kernel_id": "736690"}, {"ref": "rafaelvleite/house-prices-backward-elimination-gboost", "kernel_id": "707929"}, {"ref": "andrecn/house-prices-imputing-predicting-boosting", "kernel_id": "682389"}, {"ref": "mehtavishwa30/my-model", "kernel_id": "624671"}, {"ref": "dylanotron/dylan-notebook", "kernel_id": "626462"}, {"ref": "gabwill/first-models-using-python", "kernel_id": "671036"}, {"ref": "naz505/my-first-machine-learning-model", "kernel_id": "731316"}, {"ref": "danielpetrov/my-model-a8afcd", "kernel_id": "640947"}, {"ref": "kristinkaklyap/my-model", "kernel_id": "648476"}, {"ref": "tripl3a/kaggle-ml-submission", "kernel_id": "727580"}, {"ref": "sharmaprankul/my-first-machine-learning-model", "kernel_id": "858533"}, {"ref": "gshukla/my-model", "kernel_id": "669519"}, {"ref": "gshukla/my-model-missing-values-imputed", "kernel_id": "672346"}, {"ref": "tylerburkett/homepriceprediction", "kernel_id": "695646"}, {"ref": "jeevansethi/my-first-machine-learning-model", "kernel_id": "727012"}, {"ref": "merishnasuwal/machine-learning-model-predicting-house-prices", "kernel_id": "836895"}, {"ref": "ammarik/my-model", "kernel_id": "666371"}, {"ref": "nellyzhang/my-model", "kernel_id": "656163"}, {"ref": "julianrdcosta/ames-sklearn-linear-regression", "kernel_id": "699126"}, {"ref": "simonjb/tuto-datascience", "kernel_id": "661336"}, {"ref": "cynical/housing-prices", "kernel_id": "679533"}, {"ref": "willianw/house-prices-regression", "kernel_id": "827545"}, {"ref": "swaminii/house-prices", "kernel_id": "696250"}, {"ref": "peeyushsahu/prediction-of-housing-price", "kernel_id": "781335"}, {"ref": "bwassie/attempt-at-keras-regressor", "kernel_id": "667918"}, {"ref": "jrhur21c/submitting-from-a-kernel", "kernel_id": "831911"}, {"ref": "sam19051993/xgboost-sample-model", "kernel_id": "754019"}, {"ref": "yanniwen/underfitting-overfitting-and-model-optimization", "kernel_id": "678999"}, {"ref": "maartendebruin/correlation-matrix", "kernel_id": "680985"}, {"ref": "agehsbarg/top-10-0-10943-stacking-mice-and-brutal-force", "kernel_id": "870007"}, {"ref": "dmitrykagan/house-prices", "kernel_id": "685938"}, {"ref": "dariaolbinska/my-first-machine-learning-model-4cdd01", "kernel_id": "695352"}, {"ref": "ashu1461/my-first-machine-learning-model", "kernel_id": "684498"}, {"ref": "emlini/house-prices-machine-learning-step-2", "kernel_id": "764495"}, {"ref": "emlini/house-prices-machine-learning-exercise", "kernel_id": "722583"}, {"ref": "devahmad/house-prices-test", "kernel_id": "697301"}, {"ref": "jraimondi/house-prices-part-1-variable-analysis", "kernel_id": "698203"}, {"ref": "jraimondi/house-prices-part-3-model-building-and-comparison", "kernel_id": "705395"}, {"ref": "jraimondi/house-prices-part-2-data-manipulation", "kernel_id": "705323"}, {"ref": "ayush8791/submitting-from-a-kernel", "kernel_id": "709616"}, {"ref": "jennyturbo/predict-housing-price", "kernel_id": "738930"}, {"ref": "jennyturbo/handling-missing-values", "kernel_id": "776052"}, {"ref": "jennyturbo/predict-housing-price-with-ml-feature-engg", "kernel_id": "749647"}, {"ref": "mukeshonlines/my-first-kaggel-machine-learning-education", "kernel_id": "815906"}, {"ref": "liuhdsgoal/just-nn-use-gluon-top-5", "kernel_id": "944148"}, {"ref": "annacm/my-first-machine-learning-model", "kernel_id": "704875"}, {"ref": "taurus05/starting-your-ml-project-f75222", "kernel_id": "699211"}, {"ref": "kumarsrikant93/house-prices-advanced-regression-decision-tree", "kernel_id": "720942"}, {"ref": "karthi2996/my-first-machine-learning-model-02-04-2018", "kernel_id": "809631"}, {"ref": "karthi2996/my-first-machine-learning-model-ff69b2", "kernel_id": "864020"}, {"ref": "daniyal89/my-first-machine-learning-model", "kernel_id": "763716"}, {"ref": "daniyal89/house-wroth-prediction", "kernel_id": "822798"}, {"ref": "ish5577/my-first-machine-learning-model-1c0cc2", "kernel_id": "917446"}, {"ref": "amithsk/agent-chaos-enters", "kernel_id": "955430"}, {"ref": "michalbien/house-buying-competition-model", "kernel_id": "744487"}, {"ref": "pauldaoudi/mytraffic-ml", "kernel_id": "714052"}, {"ref": "rashmiek99/house-prices", "kernel_id": "886045"}, {"ref": "dc8973a/fork-of-my-first-machine-learning-model-0ab-fa0c85", "kernel_id": "725725"}, {"ref": "ryuheeeei/what-we-do-after-preprocessing", "kernel_id": "791050"}, {"ref": "ashishgupta02oct/house-price-linear-regression", "kernel_id": "760950"}, {"ref": "thedonjon/my-first-machine-learning-model-3cc04f", "kernel_id": "714164"}, {"ref": "giodev11/my-first-machine-learning-model", "kernel_id": "782227"}, {"ref": "sudarsanr/submitting-from-a-kernel", "kernel_id": "767538"}, {"ref": "truocpham/house-prices-exploratory-data-analysis", "kernel_id": "965546"}, {"ref": "mattesko/melbourne-house-sale-price-prediction", "kernel_id": "929367"}, {"ref": "chenyingjie/house-price", "kernel_id": "997419"}, {"ref": "ashunigam/my-first-machine-learning-model-ashutosh", "kernel_id": "726005"}, {"ref": "cwestby/starting-your-ml-project", "kernel_id": "953664"}, {"ref": "cwestby/my-first-machine-learning-model", "kernel_id": "953675"}, {"ref": "swordfaith/my-first-machine-learning-model", "kernel_id": "744942"}, {"ref": "yanyucc8/the-process-of-dealing-with-the-data", "kernel_id": "840949"}, {"ref": "vision12/your-first-scikit-learn-model", "kernel_id": "744778"}, {"ref": "vision12/fork-of-model-validation", "kernel_id": "740900"}, {"ref": "sebosch/submitting-from-a-kernel", "kernel_id": "747296"}, {"ref": "cookiepapa/house-prediction-with-lasso-top-10-score", "kernel_id": "736776"}, {"ref": "cshields/housing-prices-predictor", "kernel_id": "820151"}, {"ref": "galallf16/submitting-from-a-kernel", "kernel_id": "742505"}, {"ref": "hankchang1030/kaggle-ml-1", "kernel_id": "739371"}, {"ref": "luckyyadav/my-first-machine-learning-model", "kernel_id": "850252"}, {"ref": "iaugustomz/machine-learning-for-predicting-houses-prices", "kernel_id": "816389"}, {"ref": "jonathanyouett/my-first-machine-learning-model-aba3a9", "kernel_id": "853053"}, {"ref": "deepanshugaur/machine-learning-model-house-price-prediction", "kernel_id": "750904"}, {"ref": "gbaasch/my-first-machine-learning-model", "kernel_id": "866387"}, {"ref": "katotaka/kaggle-prediction-house-prices", "kernel_id": "754233"}, {"ref": "katotaka/prediction-house-prices-eda", "kernel_id": "937803"}, {"ref": "ololoamoro/my-first-machine-learning-model", "kernel_id": "912823"}, {"ref": "atulanandjha/my-first-machine-learning-model", "kernel_id": "762709"}, {"ref": "rajarshighoshal/housing-price", "kernel_id": "760537"}, {"ref": "naina04/housing-price-model", "kernel_id": "790884"}, {"ref": "kassi163/my-first-machine-learning-model", "kernel_id": "761812"}, {"ref": "gobrando/iowa-housing-prices-model", "kernel_id": "877319"}, {"ref": "alouposjr/sample-model-housing-prices", "kernel_id": "763974"}, {"ref": "alouposjr/machine-learning", "kernel_id": "763931"}, {"ref": "jkbaihang/house-price-prediction", "kernel_id": "778263"}, {"ref": "andr11/my-first-machine-learning-model", "kernel_id": "783336"}, {"ref": "partha7278/my-first-machine-learning-kernal-in-kaggle", "kernel_id": "767394"}, {"ref": "haarsh/my-first-machine-learning-model", "kernel_id": "805086"}, {"ref": "mokupy/my-first-machine-learning-model", "kernel_id": "775570"}, {"ref": "akshayvedpathak/housepredictionkernel-akshay", "kernel_id": "783976"}, {"ref": "sant0shbh0sale/my-first-machine-learning-model", "kernel_id": "838415"}, {"ref": "salma23295/salma-my-first-machine-learning-model", "kernel_id": "916378"}, {"ref": "salma23295/salmasfirstcompetition-submitting-from-a-kernel", "kernel_id": "916875"}, {"ref": "salma23295/my-first-machine-learning-model-e87c29", "kernel_id": "911792"}, {"ref": "salma23295/salma-missing-errors", "kernel_id": "919641"}, {"ref": "salma23295/starting-your-ml-project-e4d4e0", "kernel_id": "812775"}, {"ref": "vipul92/house-prices-random-forest", "kernel_id": "924296"}, {"ref": "vipul92/houses-prices-xgboost", "kernel_id": "928091"}, {"ref": "janahkirby/welcome-to-data-science-in-r-workbook", "kernel_id": "819275"}, {"ref": "sunilpsingh/my-first-machine-learning-model-b16626", "kernel_id": "978053"}, {"ref": "adhilhazari/my-first-machine-learning-model-d5c147", "kernel_id": "875636"}, {"ref": "liyiye/my-first-machine-learning-model", "kernel_id": "845420"}, {"ref": "khizarrazzaque/house-prices", "kernel_id": "827965"}, {"ref": "tinaher/your-first-scikit-learn-model-5cc11d", "kernel_id": "812776"}, {"ref": "scropj/my-first-machine-learning-model", "kernel_id": "868834"}, {"ref": "monipy/my-first-machine-learning-model", "kernel_id": "806510"}, {"ref": "manideeptatineni/my-first-machine-learning-model", "kernel_id": "814619"}, {"ref": "goldomer/my-first-machine-learning-model", "kernel_id": "833734"}, {"ref": "burnsa2017/my-first-machine-learning-model", "kernel_id": "979336"}, {"ref": "adrian1acoran/fork-of-pi-3-1415", "kernel_id": "997927"}, {"ref": "tukrre/eda-data-imputation-with-randomforest", "kernel_id": "959053"}, {"ref": "nurgle/my-first-machine-learning-model", "kernel_id": "815881"}, {"ref": "saamaka712/welcome-to-data-science-in-r-workbook-a77b4c", "kernel_id": "819530"}, {"ref": "nfwya0811/my-first-machine-learning-model", "kernel_id": "828155"}, {"ref": "abhi202/my-first-machine-learning-model", "kernel_id": "856384"}, {"ref": "pavankumarkulkarni/first-submission-lasso-regression", "kernel_id": "906181"}, {"ref": "diguifi/my-first-machine-learning-model", "kernel_id": "824444"}, {"ref": "fabridamazio/my-first-machine-learning-model", "kernel_id": "968985"}, {"ref": "datarabbit01/fork-of-submitting-from-a-kernel-1e1a92", "kernel_id": "964517"}, {"ref": "jotham91/house-prices-2-may-18", "kernel_id": "931254"}, {"ref": "jotham91/housing-prices-data-analysis", "kernel_id": "921631"}, {"ref": "jpseixasesilva/my-first-machine-learning-model", "kernel_id": "844243"}, {"ref": "karthikeyadarbha/fork-of-fork-of-fork-of-my-first-machine-learning", "kernel_id": "836398"}, {"ref": "idanyan/my-first-machine-learning-model-d1a57e", "kernel_id": "827132"}, {"ref": "sureshtelu/submitting-from-a-kernel", "kernel_id": "853157"}, {"ref": "cloverwang/my-first-machine-learning-model", "kernel_id": "859312"}, {"ref": "yaocheng0825/my-first-machine-learning-model", "kernel_id": "828977"}, {"ref": "qiangwei/strategy-ridge-rf-svr-xgbr", "kernel_id": "876763"}, {"ref": "junhuangg/super-basic-regression", "kernel_id": "831942"}, {"ref": "xinyaon/my-first-machine-learning-model", "kernel_id": "841262"}, {"ref": "joeyst/keeprandomforest-prediction-of-iowa-house-price", "kernel_id": "866906"}, {"ref": "joeyst/joey-rand-forest-final", "kernel_id": "903148"}, {"ref": "joeyst/fork-of-randomforest-prediction-of-iowa-house-pric", "kernel_id": "903257"}, {"ref": "joeyst/level-2-edition", "kernel_id": "903284"}, {"ref": "hackin7/my-first-machine-learning-model", "kernel_id": "846013"}, {"ref": "bhattpushkar/my-first-machine-learning-model", "kernel_id": "883307"}, {"ref": "mmanika/my-first-machine-learning-model-iowa-data", "kernel_id": "874413"}, {"ref": "faryabimm/kernela5b4857479", "kernel_id": "856934"}, {"ref": "aminao4000/house-prices-eda", "kernel_id": "931624"}, {"ref": "bob228/fork-of-my-first-machine-learning-model", "kernel_id": "974302"}, {"ref": "felixgunawan1995/fast-feature-engineering", "kernel_id": "880935"}, {"ref": "balazshorvath/my-first-machine-learning-model", "kernel_id": "873693"}, {"ref": "daptun/my-first-machine-learning-model", "kernel_id": "871898"}, {"ref": "khanhhh89/my-first-machine-learning-model", "kernel_id": "911875"}, {"ref": "puchnina/my-first-machine-learning-model", "kernel_id": "895695"}, {"ref": "bakakashi/my-first-machine-learning-model", "kernel_id": "922234"}, {"ref": "seetha94/my-first-machine-learning-model-by-seetha", "kernel_id": "894022"}, {"ref": "bkarutur/fork-of-my-machine-learning-model-using-scikit-lea", "kernel_id": "903417"}, {"ref": "scarymrgrey/workversion", "kernel_id": "893155"}, {"ref": "haris525/my-first-machine-learning-model-4afa66", "kernel_id": "892451"}, {"ref": "jeffdlin/home-prices-test", "kernel_id": "992873"}, {"ref": "mahbubrob/xgboost", "kernel_id": "911283"}, {"ref": "veldev/decisiontreemodel-real-estate-price-prediction", "kernel_id": "887787"}, {"ref": "richardhildebrand/my-first-machine-learning-model-lesson-2", "kernel_id": "992879"}, {"ref": "richardhildebrand/my-first-machine-learning-model", "kernel_id": "988622"}, {"ref": "szymonzmb/my-first-machine-learning-model-f417a1", "kernel_id": "908711"}, {"ref": "impe93/machine-learning-level-1", "kernel_id": "905435"}, {"ref": "funkyfrankie/sklearn-pipelines-and-transformers", "kernel_id": "927039"}, {"ref": "oranges09/starting-your-ml-project", "kernel_id": "932035"}, {"ref": "aks512/my-first-machine-learning-model", "kernel_id": "920774"}, {"ref": "mohitsaxena2005/xgboost-tut", "kernel_id": "967437"}, {"ref": "csme18/my-first-machine-learning-model-b36700", "kernel_id": "924843"}, {"ref": "roninx/my-first-machine-learning-model", "kernel_id": "939514"}, {"ref": "cordneod/my-first-machine-learning-model", "kernel_id": "935920"}, {"ref": "ayush0510/comprehensive-data-exploration-with-python", "kernel_id": "974575"}, {"ref": "priyadixit2001/house-prices-detailed-eda-and-xgboost-modeling", "kernel_id": "960039"}, {"ref": "pascalsimpkins/selecting-and-filtering-in-pandas", "kernel_id": "990986"}, {"ref": "pascalsimpkins/underfitting-overfitting-and-model-optimization", "kernel_id": "991514"}, {"ref": "pascalsimpkins/fork-of-fork-of-underfitting-overfitting-and-mode", "kernel_id": "992956"}, {"ref": "sagarpalyal/my-first-machine-learning-model-61feb9", "kernel_id": "949388"}, {"ref": "suwandidwis/my-first-machine-learning-model", "kernel_id": "997369"}, {"ref": "teohchiajun/welcome-to-data-science-in-r-workbook", "kernel_id": "968325"}, {"ref": "kpawel/my-first-machine-learning-model", "kernel_id": "983144"}, {"ref": "dsuservt/iowa-housing-prices-uservt", "kernel_id": "991952"}, {"ref": "ramartya/fork-of-my-first-machine-learning-model", "kernel_id": "942256"}, {"ref": "deboss98/my-first-machine-learning-model", "kernel_id": "956718"}, {"ref": "tkahari/my-first-machine-learning-model", "kernel_id": "990784"}, {"ref": "anandgupta1202/my-first-machine-learning-model", "kernel_id": "945661"}, {"ref": "gyanhajong/my-first-machine-learning-model-c2dc32", "kernel_id": "949046"}, {"ref": "jakedimare/my-first-model-validation", "kernel_id": "972791"}, {"ref": "alexlearn/my-first-machine-learning-model", "kernel_id": "964651"}, {"ref": "heavensong/part2", "kernel_id": "959473"}, {"ref": "heavensong/part-1", "kernel_id": "958746"}, {"ref": "nikkipeel/my-first-machine-learning-model-77fd5b", "kernel_id": "983569"}, {"ref": "venuchalla/new-1-hp", "kernel_id": "968726"}, {"ref": "sharadh/iowa-housing-randomforestregressor", "kernel_id": "975923"}, {"ref": "fkimura/my-first-machine-learning-model", "kernel_id": "973340"}, {"ref": "panditdandgule/starting-your-ml-project", "kernel_id": "986144"}, {"ref": "francescodenaro/house-model", "kernel_id": "978073"}, {"ref": "dcupif/my-first-machine-learning-model", "kernel_id": "975838"}, {"ref": "xinshen2012/my-first-machine-learning-model", "kernel_id": "978762"}, {"ref": "vegetam/my-first-machine-learning-model-481520", "kernel_id": "978598"}, {"ref": "wahyupermadie/selecting-and-filtering-in-pandas", "kernel_id": "987825"}, {"ref": "elisabethmounier/my-first-machine-learning-model-907393", "kernel_id": "989917"}, {"ref": "prince1992/my-first-machine-learning-model", "kernel_id": "987537"}, {"ref": "jeffreyflynn/my-first-machine-learning-model-jeff-f", "kernel_id": "988888"}, {"ref": "breezle/iowa-housing-prices", "kernel_id": "995619"}, {"ref": "tomrobprince/intro-to-machine-learning", "kernel_id": "996107"}, {"ref": "yanpapadakis/house-prices-analysis-using-r", "kernel_id": "1805193"}, {"ref": "yanpapadakis/houseprices-sklearn", "kernel_id": "1057210"}, {"ref": "dansbecker/exercise-explore-your-data", "kernel_id": "1258954"}, {"ref": "dansbecker/exercise-building-your-model", "kernel_id": "1259078"}, {"ref": "dansbecker/exercise-model-validation", "kernel_id": "1259097"}, {"ref": "dansbecker/exercise-underfitting-and-overfitting", "kernel_id": "1259126"}, {"ref": "dansbecker/exercise-random-forests", "kernel_id": "1259186"}, {"ref": "dansbecker/exercise-machine-learning-competitions", "kernel_id": "1259198"}, {"ref": "lextoumbourou/housing-prices-top-14-with-linear-regression", "kernel_id": "1037063"}, {"ref": "lextoumbourou/house-prices-for-beginners-part-3", "kernel_id": "1092550"}, {"ref": "lextoumbourou/house-prices-for-beginners-part-1", "kernel_id": "1089172"}, {"ref": "lextoumbourou/house-prices-for-beginners-part-2", "kernel_id": "1089598"}, {"ref": "ravihela/house-price-prediction-random-forest", "kernel_id": "1373254"}, {"ref": "nxpnsv/nxpnsv-house-pricing-1", "kernel_id": "1256726"}, {"ref": "ritupande/ensemble-learning", "kernel_id": "1564634"}, {"ref": "paulbrabban/sheffieldml-august-2018-getting-started-kernel", "kernel_id": "1436436"}, {"ref": "pranand/eda-prakash", "kernel_id": "1812990"}, {"ref": "pranand/first-model", "kernel_id": "1847263"}, {"ref": "pranand/average-model-1", "kernel_id": "1862094"}, {"ref": "randeepahlawat/basic-regression", "kernel_id": "1171190"}, {"ref": "randeepahlawat/a-newbs-first-attempt-data-exploration-part-1", "kernel_id": "1243496"}, {"ref": "xyz8983/ml-ex-1-handling-missing-values", "kernel_id": "1541763"}, {"ref": "prabhakaran/simple-linear-regression-my-first-attempt", "kernel_id": "1207067"}, {"ref": "renuk16/getting-started-worflow", "kernel_id": "1938633"}, {"ref": "bigdata4u/machine-learning", "kernel_id": "1234068"}, {"ref": "pankajkumar/exploratory-data-analysis", "kernel_id": "1251853"}, {"ref": "ogakulov/lotfrontage-fill-in-missing-values-house-prices", "kernel_id": "1549829"}, {"ref": "ibraheemmoosa/making-predictions-using-ransac-and-random-forest", "kernel_id": "1276790"}, {"ref": "richterz/my-first-machine-learning-model", "kernel_id": "1192810"}, {"ref": "joyrahman/submitting-from-a-kernel", "kernel_id": "1227341"}, {"ref": "kaushikbar/explore-house-prices", "kernel_id": "1413410"}, {"ref": "sriharshams/kaggle-learn-machine-learning-model", "kernel_id": "1013374"}, {"ref": "duvallwh/dealing-with-catagorical-values", "kernel_id": "1135401"}, {"ref": "rosarubu1/kernelaf57977db9", "kernel_id": "1083231"}, {"ref": "sundyy/new-house-price", "kernel_id": "1178673"}, {"ref": "nirajftw/missing-data-profiler", "kernel_id": "1531905"}, {"ref": "pusemuckel/exercise-machine-learning-competitions", "kernel_id": "1838753"}, {"ref": "gnomows/better-analysis-of-data-and-train-with-xgboost", "kernel_id": "1746529"}, {"ref": "liuhaoping/house-prices-advanced-regression-techniques", "kernel_id": "1290529"}, {"ref": "dpipkin/ordinals-and-dummies", "kernel_id": "1238961"}, {"ref": "dubeykripashanker/house-price-prediction", "kernel_id": "1521305"}, {"ref": "ashwinim14/welcome-to-data-science-in-r-workbook", "kernel_id": "1047482"}, {"ref": "sdip28/neural-network-model-for-house-prices-tensorflow", "kernel_id": "1256827"}, {"ref": "joaoavf/house-prices-machine-learning-brasilia", "kernel_id": "1320562"}, {"ref": "oblivion137/my-first-machine-learning-model", "kernel_id": "1068644"}, {"ref": "llgoswamiarjunll/house-prices-advanced-regression-techniques-eda", "kernel_id": "1093199"}, {"ref": "adisak/data-science-club-visualization-day", "kernel_id": "1982212"}, {"ref": "mukulsingh/detailed-exploratory-data-analysis-using-r", "kernel_id": "1040827"}, {"ref": "darioromero/house-prices-improving-prediction", "kernel_id": "1658232"}, {"ref": "chintanshah24/house-price-grid-search-meta-learning", "kernel_id": "1068583"}, {"ref": "praxitelisk/kagglelearn-ml2-3-learning-to-use-xgboost", "kernel_id": "1049845"}, {"ref": "praxitelisk/kagglelearn-ml2-2-one-hot-encoding", "kernel_id": "1044879"}, {"ref": "christ95/predictive-modelling-attempt-at-housing-prices", "kernel_id": "1615461"}, {"ref": "colinmorris/exercise-exploring-your-data", "kernel_id": "1278755"}, {"ref": "easonl/house-prices-regression", "kernel_id": "1265843"}, {"ref": "surajshetiya/decisiontreeandforestmodellearning", "kernel_id": "1230402"}, {"ref": "matthista/welcome-to-data-science-in-r-workbook", "kernel_id": "1447620"}, {"ref": "tejasreddy/iowa-housing-price-prediction-python3-ml", "kernel_id": "1186839"}, {"ref": "thebear19/house-prices-with-ridge-and-xgboost", "kernel_id": "1002493"}, {"ref": "siegmundwang/my-learn-machine-learning", "kernel_id": "1054841"}, {"ref": "monocongo/my-first-machine-learning-model", "kernel_id": "1064926"}, {"ref": "yao5382/trend-assignment1", "kernel_id": "1294606"}, {"ref": "trihasmoro/comprehensive-data-exploration-with-python", "kernel_id": "1386929"}, {"ref": "niyipop/house-prices-regression", "kernel_id": "1385650"}, {"ref": "amreshgiri/regression-algorithms-compared", "kernel_id": "1377903"}, {"ref": "gdemon/tensorflow-linear-regressor", "kernel_id": "1295311"}, {"ref": "gdemon/house-data-practice-tree", "kernel_id": "1295476"}, {"ref": "gdemon/house-data-practice-tensorflow-nn", "kernel_id": "1295518"}, {"ref": "eric6239/machine-learning-course-assignment-1", "kernel_id": "1285995"}, {"ref": "compsloth/my-first-machine-learning-model-021f2f", "kernel_id": "1345560"}, {"ref": "andreymarkov/submitting-from-a-kernel", "kernel_id": "1876864"}, {"ref": "mgmarques/houses-prices-complete-solution", "kernel_id": "1894801"}, {"ref": "tharug/fork-of-housing-prices", "kernel_id": "1311474"}, {"ref": "ziweiwu/my-first-machine-learning-model", "kernel_id": "1200689"}, {"ref": "helllodavid/david-tong-test-kernel-for-house-prices", "kernel_id": "1412188"}, {"ref": "ymmtyy/kerneld1fdd6ce1e", "kernel_id": "1811606"}, {"ref": "pechatov/r-script", "kernel_id": "1049881"}, {"ref": "gauthamganesan/house-prices-eda", "kernel_id": "1380389"}, {"ref": "ritthikrai/welcome-to-data-science-in-r-workbook-13031f", "kernel_id": "1792678"}, {"ref": "mehulmp/house-data-predict", "kernel_id": "1739498"}, {"ref": "intelligent/my-first-machine-learning-model", "kernel_id": "1040475"}, {"ref": "dashangm/welcome-to-data-science-in-r-workbook", "kernel_id": "1600465"}, {"ref": "imitusov/public-kernel-stacking", "kernel_id": "1833610"}, {"ref": "shadabhussain/my-first-machine-learning-model", "kernel_id": "1255911"}, {"ref": "shadabhussain/neural-network-model-for-house-prices-tensorflow", "kernel_id": "1788104"}, {"ref": "dhimananubhav/top-2-from-laurenstc-on-house-price-prediction", "kernel_id": "1609438"}, {"ref": "kaliashi/welcome-to-data-science-in-r-workbook-397052", "kernel_id": "1680782"}, {"ref": "chughbhavya26/basic-analysis-and-random-forest-regressor", "kernel_id": "1315473"}, {"ref": "pollux751/housing-prices-regression-with-random-forest", "kernel_id": "1311842"}, {"ref": "blaskowitz100/stacked-neural-networks", "kernel_id": "1785856"}, {"ref": "blaskowitz100/eda-and-preprocessing-of-the-datasets", "kernel_id": "1822216"}, {"ref": "tomlin/practice-stacking-model-on-house-price-prediction", "kernel_id": "1254727"}, {"ref": "letoss/machinalis-kaggle-1-2", "kernel_id": "1217754"}, {"ref": "linekin/house-prices-tutorial", "kernel_id": "1676492"}, {"ref": "shig1211/house-prices-training", "kernel_id": "1260112"}, {"ref": "shig1211/comprehensive-eda-with-python", "kernel_id": "1268258"}, {"ref": "chipak/predicting-house-prices-in-r", "kernel_id": "1462527"}, {"ref": "saifulazad/minimize-cost-by-using-sklearn-linearregression", "kernel_id": "1518124"}, {"ref": "viking714/handling-missing-values", "kernel_id": "1487339"}, {"ref": "viking714/xgboost", "kernel_id": "1493386"}, {"ref": "viking714/using-categorical-data-with-one-hot-encoding", "kernel_id": "1492326"}, {"ref": "pankajb64/kaggle-meet-kernel", "kernel_id": "1608651"}, {"ref": "mdeshkar/iowa-data-set", "kernel_id": "1054297"}, {"ref": "marklvl/quick-look-at-data-with-pandas", "kernel_id": "1343065"}, {"ref": "mrferozi/property-sales-predictive-analysis", "kernel_id": "1427306"}, {"ref": "nahimsouza/ml-tutorial-house-prices", "kernel_id": "1356212"}, {"ref": "nahimsouza/ml-simplest-example-ever", "kernel_id": "1479134"}, {"ref": "smehta12/house-values-prediction-top-20", "kernel_id": "1261674"}, {"ref": "abhijeetiitv15/start-code", "kernel_id": "1354204"}, {"ref": "poleness/predict-house-prices-feature-engineering", "kernel_id": "1170994"}, {"ref": "moghazy/feature-engineering-with-ensemble-learning", "kernel_id": "1568035"}, {"ref": "dmitriytarasov/my-first-machine-learning-model", "kernel_id": "1373813"}, {"ref": "manjeetsingh/house-prices-lasso-xgboost-and-a-detailed-eda", "kernel_id": "1285715"}, {"ref": "pratsiuk/valueerror-unknown-label-type-continuous", "kernel_id": "1139281"}, {"ref": "davidtnly/house-prices-exploratory-data-analysis", "kernel_id": "1396228"}, {"ref": "harshpan/mostly-all-features-house-prices-kernel", "kernel_id": "1089866"}, {"ref": "hemanth346/learning-eda", "kernel_id": "1318272"}, {"ref": "leiyuan1989/rabbit-s-house-price-predict", "kernel_id": "1213098"}, {"ref": "harshitnarang/ames-house-price-prediction", "kernel_id": "1235534"}, {"ref": "alimpolat/alim-welcome-to-data-science-in-r-workbook", "kernel_id": "1529748"}, {"ref": "rayjohnsoncomedy/predicting-ames-iowa-housing-market", "kernel_id": "1062092"}, {"ref": "ablearcher/house-prices", "kernel_id": "1774188"}, {"ref": "ayushsinghania/my-first-machine-learning-model", "kernel_id": "1256410"}, {"ref": "liu10andrew/my-first-machine-learning-model", "kernel_id": "1329729"}, {"ref": "liu10andrew/my-first-machine-learning-model-fe3f9c", "kernel_id": "1331026"}, {"ref": "rliu054/learning-machine-learning", "kernel_id": "1374803"}, {"ref": "ramapinnimty/starting-your-ml-project", "kernel_id": "1073388"}, {"ref": "ramapinnimty/selecting-and-filtering-in-pandas", "kernel_id": "1073670"}, {"ref": "ramapinnimty/your-first-scikit-learn-model", "kernel_id": "1074056"}, {"ref": "ramapinnimty/model-validation", "kernel_id": "1074305"}, {"ref": "rayyan16/my-first-machine-learning-model-b0312b", "kernel_id": "1312598"}, {"ref": "rayyan16/housing-price", "kernel_id": "1462115"}, {"ref": "abhirgup/my-first-machine-learning-model", "kernel_id": "1090013"}, {"ref": "aasifmultani/first-kernel-for-hello-world", "kernel_id": "1286716"}, {"ref": "karthikvmv/kernel5ac0148dd9", "kernel_id": "1029574"}, {"ref": "aamirsiddiqui/house-prices-eda-and-regression-analysis", "kernel_id": "1286346"}, {"ref": "ivangord/new-housing", "kernel_id": "1857274"}, {"ref": "jonhar/lasso-and-xgboost-top-15", "kernel_id": "1021700"}, {"ref": "mi6karn/my-first-machine-learning-model", "kernel_id": "1363082"}, {"ref": "asdftoger/looking-at-feature-importance-with-random-forest", "kernel_id": "1866904"}, {"ref": "ayanmaity/asg-2-ml", "kernel_id": "1505993"}, {"ref": "ayanmaity/ml-assignment-2", "kernel_id": "1425345"}, {"ref": "yurimdias/welcome-to-data-science-in-r-workbook", "kernel_id": "1211135"}, {"ref": "imabhigyan/welcome-to-data-science-in-r-workbook", "kernel_id": "1250836"}, {"ref": "fengdanye/machine-learning-2-regularized-lm-early-stopping", "kernel_id": "1936277"}, {"ref": "nicstout/kernel-for-isu-data-science-club-exercise", "kernel_id": "1910137"}, {"ref": "wangdong8500/my-first-machine-learning-model", "kernel_id": "1387122"}, {"ref": "wchxu96/housepriceregression", "kernel_id": "1087016"}, {"ref": "tatianass/submitting-from-a-kernel", "kernel_id": "1379936"}, {"ref": "drscarlat/house-prices-all-done-via-pipeline", "kernel_id": "1409802"}, {"ref": "sgorlick/inita", "kernel_id": "1164532"}, {"ref": "shanif24/handling-missing-values-tutorial-expanded", "kernel_id": "1709641"}, {"ref": "shanif24/handling-missing-values-tutorial-iowa", "kernel_id": "1710854"}, {"ref": "whitewizard/housing-price", "kernel_id": "1113957"}, {"ref": "sudhirnl7/house-price-analysis-ridge-regression", "kernel_id": "1996627"}, {"ref": "lider123/housepricing", "kernel_id": "1405996"}, {"ref": "kukreti12/machinelearning-kukreti12", "kernel_id": "1149220"}, {"ref": "benjibb/perfect-pipeline", "kernel_id": "1057144"}, {"ref": "benjibb/xgboost-with-one-hot-encoding", "kernel_id": "1057182"}, {"ref": "benjibb/partial-dependence", "kernel_id": "1038001"}, {"ref": "benjibb/xgboost-starter", "kernel_id": "1024949"}, {"ref": "hobartlee/welcome-to-data-science-in-r-workbook-89b3ad", "kernel_id": "1050443"}, {"ref": "gunbl4d3/exploring-house-data-clean-dataset-for-modelling", "kernel_id": "1431861"}, {"ref": "gunbl4d3/bayesian-optimization-for-house-prices", "kernel_id": "1433186"}, {"ref": "eric913/handling-missing-values", "kernel_id": "1205015"}, {"ref": "alouka/handling-missing-values", "kernel_id": "1368698"}, {"ref": "dreamhome/house-price", "kernel_id": "1978901"}, {"ref": "sharmaharsh/house-price-kernel-17-7", "kernel_id": "1304565"}, {"ref": "ludi666/house-price-xgboost", "kernel_id": "1723229"}, {"ref": "izgzhen/stacked-regressions-top-4-on-leaderboard", "kernel_id": "1898651"}, {"ref": "izgzhen/house-prices-eda-to-ml-beginner", "kernel_id": "1850586"}, {"ref": "themikeo/machine-learning-level-1-tutorial", "kernel_id": "1308881"}, {"ref": "jinibir/house-prices", "kernel_id": "1202303"}, {"ref": "hianjana/simple-solution-top-10", "kernel_id": "1883518"}, {"ref": "sarthakkala/housing", "kernel_id": "1659750"}, {"ref": "nafisur/house-price-prediction-from-bangladesh", "kernel_id": "1341709"}, {"ref": "nafisur/top-10-0-10943-stacking-mice", "kernel_id": "1341710"}, {"ref": "sriharshasv/house-price-prediction-part-1-missing-values", "kernel_id": "1256262"}, {"ref": "nousgate/house-prices-exercise-10th-submission", "kernel_id": "1537368"}, {"ref": "linyuder/background-of-us-housing-for-foreigners", "kernel_id": "1501765"}, {"ref": "antoinekrajnc/house-pricing-random-forest-regression", "kernel_id": "1007858"}, {"ref": "antoinekrajnc/house-prices-multiple-linear-regression", "kernel_id": "1021529"}, {"ref": "acelaya0/machine-learning-course", "kernel_id": "1234582"}, {"ref": "anjwani96/house-prices-advanced-regression-techniques", "kernel_id": "1291330"}, {"ref": "abhigyanshivam/stacking-house-prices-walkthrough-to-top-5", "kernel_id": "1370969"}, {"ref": "kram25/ml-practice-learn-02", "kernel_id": "1177365"}, {"ref": "kram25/ml-practice-learn-01", "kernel_id": "1082960"}, {"ref": "nihitjain11/housing-price-prediction-using-randomforest", "kernel_id": "1297162"}, {"ref": "olivia1112/linear-regression-demo", "kernel_id": "1484818"}, {"ref": "ewc340/my-first-machine-learning-model", "kernel_id": "1163932"}, {"ref": "iverson3/regularized-linear-models", "kernel_id": "1294998"}, {"ref": "ociule/crop-forecasting-2018-baseline-rf-mae-0-6307", "kernel_id": "1643116"}, {"ref": "kartikdutt28/house-pricing-data-exploration", "kernel_id": "1314189"}, {"ref": "kartikdutt28/house-prices-advanced-regression-techniques", "kernel_id": "1262873"}, {"ref": "amrstech/my-first-machine-learning-model-5d8a0a", "kernel_id": "1084592"}, {"ref": "jdyulang/house-prices-7", "kernel_id": "1091045"}, {"ref": "feng3245/house-price", "kernel_id": "1499033"}, {"ref": "srishti280992/starter-code-eda-feature-engg-basic-model-v2", "kernel_id": "1640336"}, {"ref": "doomed/initial-random-forest-regressor", "kernel_id": "1316653"}, {"ref": "zhangslob/kaggle", "kernel_id": "1927216"}, {"ref": "srish28/my-first-machine-learning-model", "kernel_id": "1268557"}, {"ref": "shotashimizu/ordinal-encoder", "kernel_id": "1676430"}, {"ref": "shotashimizu/08-decisiontree-cv-depth-easy", "kernel_id": "1829030"}, {"ref": "shotashimizu/06-decisiontree-holdout-depth", "kernel_id": "1827158"}, {"ref": "shotashimizu/07-decisiontree-cv-depth", "kernel_id": "1827253"}, {"ref": "shotashimizu/05-decisiontree-train-test-depth", "kernel_id": "1826750"}, {"ref": "shotashimizu/10-decisiontree-nestedcv", "kernel_id": "1829626"}, {"ref": "shotashimizu/01-decisiontree", "kernel_id": "1829338"}, {"ref": "shotashimizu/09-decisiontree-gridsearchcv", "kernel_id": "1829389"}, {"ref": "shotashimizu/one-hot-encoder", "kernel_id": "1733883"}, {"ref": "shotashimizu/linear-model", "kernel_id": "1761742"}, {"ref": "shotashimizu/04-decisiontree-train-test-split", "kernel_id": "1820641"}, {"ref": "shotashimizu/one-hot-log-salesprice", "kernel_id": "1819932"}, {"ref": "shotashimizu/02-one-hot-log-salesprice-decisiontree", "kernel_id": "1820141"}, {"ref": "shotashimizu/03-log-salesprice-decisiontree-max-depth-3", "kernel_id": "1820355"}, {"ref": "aptx4869yuyang/houseprices-kernl-eda", "kernel_id": "1066632"}, {"ref": "kylingu/houseprice-learning", "kernel_id": "1028809"}, {"ref": "lucabasa/an-agile-approach-get-incrementally-better", "kernel_id": "1444369"}, {"ref": "mihirchate95/handling-missing-values", "kernel_id": "1523807"}, {"ref": "tanveerahsan/fork-of-fork-of-my-first-machine-learning-model-e6", "kernel_id": "1066720"}, {"ref": "liamhealy/house-prices-ml-modelling-introduction", "kernel_id": "1829955"}, {"ref": "xuelinuaa/housing-price-prediction", "kernel_id": "1529610"}, {"ref": "minc33/simple-prediction", "kernel_id": "1250457"}, {"ref": "pelkoja/visual-xgboost-tuning-with-caret", "kernel_id": "1246646"}, {"ref": "lindaprettygirl/using-categorical-data-with-one-hot-encoding", "kernel_id": "1152236"}, {"ref": "brekhnaa/house-sale-analysis", "kernel_id": "1067999"}, {"ref": "rikitikitavy/models-comparing-and-recursive-feature-elimination", "kernel_id": "1986175"}, {"ref": "divakar94/my-first-machine-learning-model-decision-trees", "kernel_id": "1045533"}, {"ref": "hopes6166/house-price-prediction", "kernel_id": "1283375"}, {"ref": "san7911/comprehensive-data-exploration-with-python", "kernel_id": "1134716"}, {"ref": "san7911/regularized-linear-models", "kernel_id": "1134183"}, {"ref": "san7911/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "1143103"}, {"ref": "alanchn31/housing-feature-engineering-stacking-ensemble", "kernel_id": "1391677"}, {"ref": "pritambar/predicting-house-prices-in-the-us-state-of-iowa", "kernel_id": "1158423"}, {"ref": "jerryllllll/house-price-prediction", "kernel_id": "1750534"}, {"ref": "shadowavenger/my-first-machine-learning-model-15a2c9", "kernel_id": "1299690"}, {"ref": "hrami1/proj1", "kernel_id": "1191659"}, {"ref": "jahoadley/welcome-to-data-science-in-r-workbook", "kernel_id": "1000999"}, {"ref": "bparesh/housing-price-prediction-avg-of-diff-models", "kernel_id": "1525243"}, {"ref": "priyankagupta0194/machine-learning-intro-basic-model", "kernel_id": "1015711"}, {"ref": "mogady/analysis-using-basemap-to-visualize-spatial-data", "kernel_id": "1748544"}, {"ref": "mfbrown/predict-house-prices-with-r-workbook", "kernel_id": "1206773"}, {"ref": "neophobe/my-first-machine-learning-model", "kernel_id": "1114752"}, {"ref": "trivikramchalasani/handling-missing-values-ml-13", "kernel_id": "1866729"}, {"ref": "elohbeck/viz-practice-grlivarea-vs-saleprice", "kernel_id": "1016457"}, {"ref": "powerofzero/learning-to-use-xgboost", "kernel_id": "1309068"}, {"ref": "powerofzero/submitting-from-a-kernel", "kernel_id": "1201422"}, {"ref": "powerofzero/decisiontreeregressor-model", "kernel_id": "1197578"}, {"ref": "vinothan/eda-for-house-price-predication", "kernel_id": "1207639"}, {"ref": "joydeb28/kernel4ed1a2704a", "kernel_id": "1877362"}, {"ref": "joydeb28/svm-model-please-upvote", "kernel_id": "1878480"}, {"ref": "rounak15/my-first-machine-learning-model", "kernel_id": "1056463"}, {"ref": "sivi123/house-prices-following-tutorial", "kernel_id": "1372023"}, {"ref": "durgaprasadreddyv/regression-in-python-3", "kernel_id": "1317597"}, {"ref": "ariesduanmu/house-price-data-visualisation", "kernel_id": "1039151"}, {"ref": "ambabaei/my-first-ml-model", "kernel_id": "1295908"}, {"ref": "leero9/my-first-machine-learning-model", "kernel_id": "1346372"}, {"ref": "shivalipatel/house-prices-linear-regression", "kernel_id": "1324520"}, {"ref": "kareem1/predicting-house-prices-kaggle-tutorial", "kernel_id": "1019974"}, {"ref": "prasya/iowa-houses-price-prediction", "kernel_id": "1307656"}, {"ref": "backtrack23/selecting-and-filtering-in-pandas-5cd381", "kernel_id": "1391935"}, {"ref": "kvsivasankar/house-price-prediction", "kernel_id": "1320872"}, {"ref": "unknown96/my-first-machine-learning-model-bc5797", "kernel_id": "1009828"}, {"ref": "viridisquotient/housepriceslinearmodel", "kernel_id": "1305257"}, {"ref": "killer415/welcome-to-data-science-in-r-workbook", "kernel_id": "1198419"}, {"ref": "ephemerai/handling-missing-values", "kernel_id": "1464271"}, {"ref": "seethu123/my-first-machine-learning-model", "kernel_id": "1309877"}, {"ref": "bingww/20180923-house-price", "kernel_id": "1711416"}, {"ref": "reauvdb/yacht-data-trainees-salesprices", "kernel_id": "1507829"}, {"ref": "pranavraizada/my-first-machine-learning-model", "kernel_id": "1231609"}, {"ref": "dgangwar/house-price-prediction-begineer", "kernel_id": "1552583"}, {"ref": "phoenix1984/my-first-machine-learning-model", "kernel_id": "1296833"}, {"ref": "bossimuimu/submitting-from-a-kernel-789ecd", "kernel_id": "1178029"}, {"ref": "mdimran123/dealing-with-missing-values-in-house-price-data", "kernel_id": "1546079"}, {"ref": "mdimran123/handling-missing-data-using-imputation", "kernel_id": "1545753"}, {"ref": "filiberto/my-first-machine-learning-model", "kernel_id": "1079470"}, {"ref": "saumyaraj1/house-prices-regression", "kernel_id": "1994125"}, {"ref": "christophriley/glm-exploration", "kernel_id": "1954847"}, {"ref": "aparnashastry/howmuchdoesmydreamhousecost", "kernel_id": "1743931"}, {"ref": "gravitymhxy2/newbie", "kernel_id": "1461320"}, {"ref": "hussainhatimi/welcome-to-data-science-in-r-workbook", "kernel_id": "1832199"}, {"ref": "animikhaich/my-first-machine-learning-model", "kernel_id": "1334785"}, {"ref": "mastermindbraveson/price-estimate", "kernel_id": "1339905"}, {"ref": "tomigelo/house-price-0-12219", "kernel_id": "1277289"}, {"ref": "aparnadevi/predict-house-prices-eda-regression-modelling", "kernel_id": "1742095"}, {"ref": "aparnadevi/house-price-prediction-rf-lasso-xgb", "kernel_id": "1782881"}, {"ref": "asemokby/eda-gridsearch-elasticnet-lasso-model", "kernel_id": "1436112"}, {"ref": "vanessao/kernel9dbabef2bb", "kernel_id": "1209215"}, {"ref": "sprajosh/house-price-predictions", "kernel_id": "1024888"}, {"ref": "thegambitier/machine-learning-level-2", "kernel_id": "1002771"}, {"ref": "benbrooks/my-first-machine-learning-model", "kernel_id": "1074418"}, {"ref": "tylerwatkins/top-18-with-simple-model-tuning", "kernel_id": "1483319"}, {"ref": "tylerwatkins/quick-solution-using-gbm", "kernel_id": "1414651"}, {"ref": "kb2900/house-prices-from-data-cleaning-to-modeling", "kernel_id": "1239940"}, {"ref": "shanthakumara/house-price", "kernel_id": "1162431"}, {"ref": "rohitayinaparthy/random-forests-model", "kernel_id": "1368349"}, {"ref": "rohitayinaparthy/handling-missing-values-in-general", "kernel_id": "1368507"}, {"ref": "rohitayinaparthy/decision-trees-model-predicting-iowa-house-prices", "kernel_id": "1367153"}, {"ref": "bashkeel/eda-to-ensemble-model-lasso-ridge-xgboost", "kernel_id": "1988032"}, {"ref": "rishpande/house-prices-simple-exploratory-data-analysis", "kernel_id": "1162551"}, {"ref": "kabacaly/house-prices-xgboost-0-12958", "kernel_id": "1721659"}, {"ref": "kabacaly/house-prices-gradient-boosted-regression-v1", "kernel_id": "1316700"}, {"ref": "kavitha9511/my-first-machine-learning-model", "kernel_id": "1255886"}, {"ref": "grahamwebberjhb/welcome-to-data-science-in-r-workbook", "kernel_id": "1125309"}, {"ref": "sajidrhmn/house-price-prediction", "kernel_id": "1200822"}, {"ref": "himanshushukla71/decision-tree-using-python", "kernel_id": "1225291"}, {"ref": "raidestro/my-first-machine-learning-model", "kernel_id": "1178719"}, {"ref": "benuatri/my-first-machine-learning-model", "kernel_id": "1177386"}, {"ref": "markm123/house-prices", "kernel_id": "1955216"}, {"ref": "zkrumlinde/missing-values-dummy-vars-log-transformation", "kernel_id": "1306090"}, {"ref": "sgaur1/house-price-prediction-model", "kernel_id": "1325863"}, {"ref": "mtammste/my-first-machine-learning-model-f0d141", "kernel_id": "1039845"}, {"ref": "shubhamp96/kernel88f22992fe", "kernel_id": "1667539"}, {"ref": "srinivasmj/gradient-boosting-regression-droping-correlation", "kernel_id": "1060125"}, {"ref": "huangyaostu/house-price", "kernel_id": "1401127"}, {"ref": "fish417913/welcome-to-data-science-in-r-workbook", "kernel_id": "1457124"}, {"ref": "joelmasters/housing-prices-kernel", "kernel_id": "1904836"}, {"ref": "alexpengxiao/predict-house-prices-model-tuning-ensemble", "kernel_id": "1110930"}, {"ref": "ellisanderson/machine-learning-learn", "kernel_id": "1057579"}, {"ref": "mahajanakhil/my-first-machine-learning-model", "kernel_id": "1287299"}, {"ref": "ygivenx/understanding-the-data", "kernel_id": "1844223"}, {"ref": "kairosart/machine-learning-level-1", "kernel_id": "1084167"}, {"ref": "kairosart/machine-learning-level-2-missing-values", "kernel_id": "1088268"}, {"ref": "kairosart/machine-learning-level-2-one-hot-encoding", "kernel_id": "1088310"}, {"ref": "kairosart/machine-learning-level-2-learning-to-use-xgboost", "kernel_id": "1088340"}, {"ref": "piyushbhatia993/my-first-machine-learning-model", "kernel_id": "1164152"}, {"ref": "jvestil42/welcome-to-data-science-in-r-workbook-08fcad", "kernel_id": "1034677"}, {"ref": "shivam7441/linear-regression-with-86-6-accuracy", "kernel_id": "1437454"}, {"ref": "qwetyui/optimized-alpha-weighted-solutions-0-12", "kernel_id": "1987273"}, {"ref": "haxton/xgboost-attempt", "kernel_id": "1800572"}, {"ref": "nandinika/level-2", "kernel_id": "1081508"}, {"ref": "iancornish/data-science-club-visualization-day", "kernel_id": "1980356"}, {"ref": "jtomar/submitting-from-a-kernel", "kernel_id": "1061319"}, {"ref": "jtomar/submitting-from-a-kernel-060ced", "kernel_id": "1061335"}, {"ref": "dagahimanshu/learn-ml", "kernel_id": "1224521"}, {"ref": "ssvitian/housepricekernel", "kernel_id": "1479391"}, {"ref": "serkanpeldek/ev-fiyatlar-n-n-tahmini", "kernel_id": "1287359"}, {"ref": "rakesh6184/model-validation-c135c8", "kernel_id": "1392085"}, {"ref": "rakesh6184/model-validation-694f2c", "kernel_id": "1390262"}, {"ref": "rakesh6184/model-validation-2b5493", "kernel_id": "1389718"}, {"ref": "rakesh6184/lasso-and-ridge-regularisation-286269", "kernel_id": "1646009"}, {"ref": "rakesh6184/lasso-ridge-and-elasticnet-comparison", "kernel_id": "1647261"}, {"ref": "rakesh6184/ridge-lasso", "kernel_id": "1644413"}, {"ref": "rakesh6184/lasso-and-ridge-regularisation", "kernel_id": "1644415"}, {"ref": "fpinheirocampos/ml-kaggle-lesson-1", "kernel_id": "1234714"}, {"ref": "lisiqikaggle/kernel856c7679e1", "kernel_id": "1134680"}, {"ref": "atuljhasg/my-first-machine-learning-model", "kernel_id": "1012046"}, {"ref": "dillonkoch18/xgboost-house-prices-submission", "kernel_id": "1292029"}, {"ref": "dillonkoch18/lasso-regression-house-prices-submission", "kernel_id": "1303623"}, {"ref": "dillonkoch18/linear-regression-house-prices-submission", "kernel_id": "1295956"}, {"ref": "gm2406/house-prices", "kernel_id": "1376628"}, {"ref": "chiranjeevbit/learn-ml-eda-and-data-visualization-in-detail", "kernel_id": "1473357"}, {"ref": "shettyh/predicting-housing-prices-using-xgboost", "kernel_id": "1157249"}, {"ref": "xsakix/categorical-feature-selection-and-xg", "kernel_id": "1941121"}, {"ref": "xsakix/one-hot-encoding-and-keras", "kernel_id": "1933150"}, {"ref": "xsakix/one-hot-encoding-and-xgboost", "kernel_id": "1931611"}, {"ref": "xsakix/xg-rmse-of-logs-custom-eval-xgb", "kernel_id": "1957587"}, {"ref": "xsakix/xg-droping-highly-correlated", "kernel_id": "1957332"}, {"ref": "xsakix/xg-drop-correlated-log-price", "kernel_id": "1967919"}, {"ref": "xsakix/xg-grid", "kernel_id": "1989881"}, {"ref": "prescotttj/my-first-machine-learning-model", "kernel_id": "1299665"}, {"ref": "abkedar/data-exploration-of-housing-data", "kernel_id": "1512916"}, {"ref": "gzewdie/kagglehousepriceprediction-python-notebook", "kernel_id": "1324937"}, {"ref": "amol120586/my-first-machine-learning-model", "kernel_id": "1330136"}, {"ref": "aa1ds2d3f/my-first-model-for-kaggle", "kernel_id": "1002411"}, {"ref": "dwscrub/data-visualisation", "kernel_id": "1093740"}, {"ref": "saifadeeb/modeling-with-ames", "kernel_id": "1536336"}, {"ref": "elahea2020/my-first-machine-learning-model-b14428", "kernel_id": "1078220"}, {"ref": "nagaaravind/eda-and-prediction-of-house-ratings", "kernel_id": "1569589"}, {"ref": "yashkrishan/learning-machine-learning", "kernel_id": "1140840"}, {"ref": "musketeerliu/my-first-machine-learning-model-1ab563", "kernel_id": "1035877"}, {"ref": "musketeerliu/my-first-machine-learning-model-a75d31", "kernel_id": "1050695"}, {"ref": "shubhamlink/house-prediction", "kernel_id": "1059753"}, {"ref": "mdhrumil/ames-housing-price-predictions", "kernel_id": "1777258"}, {"ref": "jakishi/is-mll-house-price-correlation-over-0-5", "kernel_id": "1664234"}, {"ref": "jakishi/house-price-finding-the-cause-of-difference", "kernel_id": "1702125"}, {"ref": "jakishi/upload-data-as-csv", "kernel_id": "1721658"}, {"ref": "jakishi/mll-house-price-not-all-features-dumminized", "kernel_id": "1994909"}, {"ref": "ankitjaadoo/handling-missing-values", "kernel_id": "1441963"}, {"ref": "ankitjaadoo/using-categorical-data-with-one-hot-encoding", "kernel_id": "1441986"}, {"ref": "ankitjaadoo/xgboost", "kernel_id": "1442018"}, {"ref": "ankitjaadoo/submitting-from-a-kernel", "kernel_id": "1435561"}, {"ref": "ankitjaadoo/my-first-machine-learning-model", "kernel_id": "1401427"}, {"ref": "alhassanabdelglil/house-prices-predicted", "kernel_id": "1509693"}, {"ref": "alhassanabdelglil/house-price-very-cool-preprocessing", "kernel_id": "1509957"}, {"ref": "akashm29/iowa-model-prediction", "kernel_id": "1071788"}, {"ref": "schatz37/180523", "kernel_id": "1009758"}, {"ref": "pavansanagapati/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "1908308"}, {"ref": "pavansanagapati/pandas-bokeh-visualization-tutorial", "kernel_id": "1048693"}, {"ref": "pavansanagapati/tensorboard-visualisation-of-fashion-mnist", "kernel_id": "1091317"}, {"ref": "pavansanagapati/ensemble-learning-techniques-tutorial", "kernel_id": "1359542"}, {"ref": "spomatthews/house-prices-advanced-regression-techniques", "kernel_id": "1746016"}, {"ref": "kyozen/using-categorical-data-with-one-hot-encoding", "kernel_id": "1724862"}, {"ref": "kyozen/xgboost-bb08ca", "kernel_id": "1725167"}, {"ref": "snazzybloke/my-first-machine-learning-model", "kernel_id": "1352311"}, {"ref": "prokiller2599/welcome-to-data-science-in-r-workbook", "kernel_id": "1254523"}, {"ref": "mana123/submitting-from-a-kernel", "kernel_id": "1103177"}, {"ref": "alok268/my-first-machine-learning-model", "kernel_id": "1280606"}, {"ref": "sandarato/iowa-house-prices", "kernel_id": "1361128"}, {"ref": "mutterberg/utterberg-housing", "kernel_id": "1577044"}, {"ref": "clare3/1d-imputing-and-one-hot-encoding", "kernel_id": "1220607"}, {"ref": "wongmh/homepricewinner", "kernel_id": "1491301"}, {"ref": "chessesio/iowa-house-prices-prediction-model", "kernel_id": "1272947"}, {"ref": "jlemains/regression-competition", "kernel_id": "1125713"}, {"ref": "maxiaobao/learn-ml-level", "kernel_id": "1013895"}, {"ref": "syhwanlin/alvin-house-prices-assignment1", "kernel_id": "1267061"}, {"ref": "ananthgarg/prediction-using-linear-regression", "kernel_id": "1490702"}, {"ref": "ananthgarg/kernel41d5c23313", "kernel_id": "1490588"}, {"ref": "bazzinga009/detailed-exploratory-data-analysis-using-r-4023da", "kernel_id": "1233348"}, {"ref": "mikelkn/light-gbm-vs-xgboost-lb-score-0-125", "kernel_id": "1673784"}, {"ref": "zachary3141/kerneld8a25cb90f", "kernel_id": "1906151"}, {"ref": "eapen7/my-first-machine-learning-model", "kernel_id": "1062842"}, {"ref": "jakilathehun/feature-engineering-weighted-avr-model-top-17", "kernel_id": "1555859"}, {"ref": "hosomi/house-prices-2", "kernel_id": "1574035"}, {"ref": "hosomi/prediction", "kernel_id": "1830552"}, {"ref": "yanayats/fork-of-my-first-machine-learning-model", "kernel_id": "1076593"}, {"ref": "vraval48/house-price-prediction-using-stacked-regression", "kernel_id": "1273659"}, {"ref": "vraval48/data-analysis-of-house-price-prediction", "kernel_id": "1162624"}, {"ref": "melodye/my-first-machine-learning-model-fc3124", "kernel_id": "1028128"}, {"ref": "fleanend/boosted-forest-with-homemade-regression-tree", "kernel_id": "1083378"}, {"ref": "cla0709/boosted-forest-with-homemade-regression-tree", "kernel_id": "1077802"}, {"ref": "cla0709/ensebling-regression-models", "kernel_id": "1101796"}, {"ref": "amarthota/my-first-machine-learning-model", "kernel_id": "1323784"}, {"ref": "akshayjoshi27/welcome-to-data-science-in-r-workbook", "kernel_id": "1828553"}, {"ref": "sabirshaikh/my-first-machine-learning-model", "kernel_id": "1088154"}, {"ref": "elkyai/welcome-to-data-science-in-r-workbook-6b152a", "kernel_id": "1054686"}, {"ref": "jogeshdhiman19/eda-using-python", "kernel_id": "1220814"}, {"ref": "klauslyu/houseprice-predict", "kernel_id": "1565403"}, {"ref": "balajivenky06/house-prices-prediction", "kernel_id": "1398497"}, {"ref": "kaggle2echo/scaling-and-polynomial", "kernel_id": "1745596"}, {"ref": "kaggle2echo/house-price", "kernel_id": "1705457"}, {"ref": "andrecn/house-prices-exploratory-analysis-and-prediction", "kernel_id": "1188629"}, {"ref": "ammar111/house-price-prediction-bagging-xgboost-top-8", "kernel_id": "1918489"}, {"ref": "raviprakash438/lasso-and-ridge-regularisation", "kernel_id": "1096152"}, {"ref": "raviprakash438/wrapper-method-feature-selection", "kernel_id": "1089642"}, {"ref": "raviprakash438/filter-method-feature-selection", "kernel_id": "1091246"}, {"ref": "raviprakash438/predict-house-pricing", "kernel_id": "1032961"}, {"ref": "raviprakash438/learning-to-use-xgboost", "kernel_id": "1014401"}, {"ref": "raviprakash438/submitting-from-a-kernel", "kernel_id": "1013656"}, {"ref": "fholzkamp/sub-ml-level-2-categorical-data-one-h", "kernel_id": "1708052"}, {"ref": "fholzkamp/submitting-from-a-kernel", "kernel_id": "1653030"}, {"ref": "asuryavanshi11/trial-attempt-2", "kernel_id": "1042669"}, {"ref": "asuryavanshi11/trial-attempt-3", "kernel_id": "1047383"}, {"ref": "asuryavanshi11/trial", "kernel_id": "1015290"}, {"ref": "asuryavanshi11/let-s-see-if-it-works", "kernel_id": "1014779"}, {"ref": "asuryavanshi11/fork-of-let-s-see-if-it-works", "kernel_id": "1015389"}, {"ref": "vishalnadagiri/eda-of-house-prices-prediction-dataset", "kernel_id": "1820034"}, {"ref": "ahmedhatem/fork-of-random-forests", "kernel_id": "1193040"}, {"ref": "arundhondi/housing-prices-prediction-xgboost-algorithm", "kernel_id": "1068994"}, {"ref": "arundhondi/house-pricing", "kernel_id": "1047092"}, {"ref": "arundhondi/housing-prices-prediction-xgboost-algorithm-v2", "kernel_id": "1126949"}, {"ref": "mahendrabishnoi2/gettingstarted-housingprices-xgboost", "kernel_id": "1070422"}, {"ref": "mahendrabishnoi2/getting-started-housing-prices-imputation", "kernel_id": "1069167"}, {"ref": "mahendrabishnoi2/gettingstarted-housingprices-categoricalencoding", "kernel_id": "1070290"}, {"ref": "lamhoangtung/my-first-machine-learning-model", "kernel_id": "1207620"}, {"ref": "hemingwei/top-2-from-laurenstc-on-house-price-prediction", "kernel_id": "1357232"}, {"ref": "anshuljdhingra/comprehensive-data-exploration-with-python", "kernel_id": "1076674"}, {"ref": "kvborkar100/house-prices-prediction", "kernel_id": "1216466"}, {"ref": "ikhattak/your-first-scikit-learn-model-1bc767", "kernel_id": "1045739"}, {"ref": "ikhattak/model-validation-9bbae7", "kernel_id": "1053785"}, {"ref": "ikhattak/random-forests", "kernel_id": "1077011"}, {"ref": "ikhattak/submitting-from-a-kernel-2be168", "kernel_id": "1080921"}, {"ref": "felgueira/top-20-interpretable-solution-using-lasso", "kernel_id": "1248013"}, {"ref": "sarath1341993/randomforest-10-corr-cols", "kernel_id": "1389389"}, {"ref": "sarath1341993/fork-of-house-price-1", "kernel_id": "1383948"}, {"ref": "sarath1341993/missing-value-inputation", "kernel_id": "1402436"}, {"ref": "kabhi1/learning-to-use-xgboost-24e96b", "kernel_id": "1345244"}, {"ref": "tiffanysn/comprehensive-data-exploration-with-python", "kernel_id": "1180145"}, {"ref": "oliversinn/housing-prices", "kernel_id": "1379791"}, {"ref": "chocozzz/week2-encoding-feature-engineering", "kernel_id": "1924818"}, {"ref": "chocozzz/week1-exploratory-data-analysis-with-pyhton", "kernel_id": "1783853"}, {"ref": "chocozzz/2-with-python", "kernel_id": "1807554"}, {"ref": "rashidhar/kernelad61310c98", "kernel_id": "1610774"}, {"ref": "hyeryeongcho/05-23-python-practice-1", "kernel_id": "1002593"}, {"ref": "hyeryeongcho/05-23-python-practice-2", "kernel_id": "1006559"}, {"ref": "dhavaltaunk/how-much-is-the-price-of-the-house", "kernel_id": "1854294"}, {"ref": "nebilekodaz/regression-for-house-prices", "kernel_id": "1363493"}, {"ref": "vmvalenc/iowa-house-prediction-using-xgboost", "kernel_id": "1262354"}, {"ref": "sindu819/my-first-machine-learning-model-decision-tree", "kernel_id": "1048512"}, {"ref": "timothyhammond/cluster-then-regression", "kernel_id": "1212152"}, {"ref": "ferneutron/applying-different-kind-of-ml-algorithms", "kernel_id": "1625227"}, {"ref": "ferneutron/analysis-data-visualization-and-svm-regression", "kernel_id": "1585317"}, {"ref": "karan07/achieving-0-198-using-catboost", "kernel_id": "1564196"}, {"ref": "heliosx/house-prices", "kernel_id": "1234307"}, {"ref": "divyam17147/covert-handshake", "kernel_id": "1278746"}, {"ref": "stephaniehudson/girls-who-code-workshop", "kernel_id": "1014036"}, {"ref": "discdiver/regression-project-predicting-housing-sales", "kernel_id": "1299717"}, {"ref": "discdiver/tpot-on-ames-housing-regression", "kernel_id": "1478636"}, {"ref": "alvin369/house-sold", "kernel_id": "1192560"}, {"ref": "pankti17/my-first-machine-learning-model", "kernel_id": "1006629"}, {"ref": "veenasridhar/fork-of-my-first-machine-learning-model", "kernel_id": "1125073"}, {"ref": "callmeriver/exploratory-data-analysis-averaging-ml-algorithms", "kernel_id": "1710616"}, {"ref": "surtantheta/housing-keras", "kernel_id": "1531827"}, {"ref": "cookiepapa/house-prices-prediction", "kernel_id": "1466587"}, {"ref": "cshields/housing-data-walkthrough", "kernel_id": "1127522"}, {"ref": "bhushanchoudhari/fork-of-predicting-house-prices-with-random-forest", "kernel_id": "1187443"}, {"ref": "jackyourdata/stacked-regressions-top-4-on-leaderboard", "kernel_id": "1501389"}, {"ref": "mehulgupta2016154/tableau-and-saleprice", "kernel_id": "1576993"}, {"ref": "mehulgupta2016154/defaulters-ahoy", "kernel_id": "1228046"}, {"ref": "mehulgupta2016154/only-xgb", "kernel_id": "1102723"}, {"ref": "mehulgupta2016154/simplest-model-for-beginners", "kernel_id": "1094758"}, {"ref": "mehulgupta2016154/broker", "kernel_id": "1072364"}, {"ref": "srihaas/submitting-from-a-kernel", "kernel_id": "1236153"}, {"ref": "srihaas/comprehensive-data-exploration-with-python", "kernel_id": "1236208"}, {"ref": "srihaas/handling-missing-values", "kernel_id": "1236264"}, {"ref": "srihaas/handling-missing-values-33c12c", "kernel_id": "1236265"}, {"ref": "srihaas/kernelad74e22312", "kernel_id": "1236281"}, {"ref": "eslamnova/my-first-machine-learning-model", "kernel_id": "1225647"}, {"ref": "eslamnova/islam-ml-1", "kernel_id": "1226258"}, {"ref": "samnkh/learning-machine-learning", "kernel_id": "1189759"}, {"ref": "starkking07/house-price-prediction", "kernel_id": "1803593"}, {"ref": "spadala/my-first-machine-learning-model-3e2d46", "kernel_id": "1215477"}, {"ref": "fangchung/kernel4f54220cf8", "kernel_id": "1085186"}, {"ref": "minalk11/my-first-machine-learning-model", "kernel_id": "1351443"}, {"ref": "ghulamdatgerer/house-price-rfs", "kernel_id": "1320892"}, {"ref": "sparsha/my-first-machine-learning-model", "kernel_id": "1086019"}, {"ref": "sparsha/handling-missing-values-11b352", "kernel_id": "1089974"}, {"ref": "sparsha/using-categorical-data-with-one-hot-encoding", "kernel_id": "1090293"}, {"ref": "ajangir45/detailed-tutorial-for-beginners", "kernel_id": "1368889"}, {"ref": "anribras/fining-feature-engineering-with-lasso-model", "kernel_id": "1071823"}, {"ref": "vish4luffy/my-first-machine-learning-model", "kernel_id": "1302693"}, {"ref": "anunnikrishnan/xgboost-v1-with-grid-cv", "kernel_id": "1653235"}, {"ref": "vashishtarora/for-housing-regression", "kernel_id": "1547198"}, {"ref": "zaindaniyal/predicting-iowa-housing-prices", "kernel_id": "1264641"}, {"ref": "aeverall/workflow-for-value-prediction", "kernel_id": "1506684"}, {"ref": "fkstepz/step-by-step-house-prices-prediction", "kernel_id": "1005848"}, {"ref": "sicrop/feature-engineering-ensemble-model-top-10", "kernel_id": "1995970"}, {"ref": "lucasgiutavares/easy-modelling-with-lasso-gbm-regression-top-19", "kernel_id": "1967720"}, {"ref": "tino76/assignment1-house-prices", "kernel_id": "1286538"}, {"ref": "marcelofms/house-prices-competition-eda-kernel", "kernel_id": "1468218"}, {"ref": "marcelofms/house-prices-adv-reg-tech-xgboost-lassocv-v4", "kernel_id": "1451474"}, {"ref": "marcelofms/house-prices-adv-reg-tech-tensorflow-v5", "kernel_id": "1584445"}, {"ref": "marcelofms/my-first-machine-learning-model", "kernel_id": "1244428"}, {"ref": "marcelofms/my-first-machine-learning-model-xgboost", "kernel_id": "1351673"}, {"ref": "obrienmitch94/housing-analysis", "kernel_id": "1356225"}, {"ref": "realppk/simple-analysis", "kernel_id": "1902642"}, {"ref": "gunanksood/my-first-machine-learning-model", "kernel_id": "1268243"}, {"ref": "datascienceai/house-price-prediction-d", "kernel_id": "1162570"}, {"ref": "miguelfs/house-prices-with-linear-regression", "kernel_id": "1269008"}, {"ref": "jomesh18/my-first-machine-learning-model", "kernel_id": "1062885"}, {"ref": "qiangge199551/house-prices-advanced-regression-techniques", "kernel_id": "1913816"}, {"ref": "hugosjoberg/house-prices-prediction-using-keras", "kernel_id": "1006169"}, {"ref": "zikazika/ensamble-methods-on-regression", "kernel_id": "1790291"}, {"ref": "wasifyar/my-first-machine-learning-model-3260c0", "kernel_id": "1047710"}, {"ref": "adrian1acoran/prote-nas-humanas", "kernel_id": "1919172"}, {"ref": "adrian1acoran/1-learn-pi-3-1415926535897932-b144dd", "kernel_id": "1993701"}, {"ref": "razvor/little-feature-engenering-pca-rp-xgb-gbm", "kernel_id": "1275134"}, {"ref": "kyen89/house-prices-prediction-with-ensemble", "kernel_id": "1478439"}, {"ref": "josh24990/simple-stacking-approach-top-12-score", "kernel_id": "1757379"}, {"ref": "puneetshekhawat/practice", "kernel_id": "1204300"}, {"ref": "abdul002/mushroom-classification-splitting-data", "kernel_id": "1586988"}, {"ref": "jack89roberts/top-7-using-elasticnet-with-interactions", "kernel_id": "1037578"}, {"ref": "rumyantsevok/lab3ml1", "kernel_id": "1073083"}, {"ref": "jasmeetkaur/stacked-regressions-top-4-on-leaderboard", "kernel_id": "1049298"}, {"ref": "gabrielmpaula/house-price-prediction-ml-self-study", "kernel_id": "1067398"}, {"ref": "itsujjwal/my-first-machine-learning-model", "kernel_id": "1219492"}, {"ref": "kherath/fork-of-machine-learning-course-notebook-1a545f", "kernel_id": "1233398"}, {"ref": "srisudheera/house", "kernel_id": "1302385"}, {"ref": "dwjuston/welcome-to-data-science-in-r-workbook", "kernel_id": "1866960"}, {"ref": "guyiyi/kernelf99a0faa71", "kernel_id": "1756288"}, {"ref": "valeriaita/vale-houseprice-tutorial2-xgbregressor", "kernel_id": "1058771"}, {"ref": "swimmingwhale/xgboost-house-prices", "kernel_id": "1530318"}, {"ref": "john850512/house-prices", "kernel_id": "1448220"}, {"ref": "vincentman0403/home-prices-prediction-0-11879-top-14", "kernel_id": "1244350"}, {"ref": "skusuru/handling-missing-values-48d38d", "kernel_id": "1988096"}, {"ref": "mrshih/handling-missing-values-imputation-example", "kernel_id": "1603482"}, {"ref": "richardhildebrand/my-first-machine-learning-model-xgboost", "kernel_id": "1014029"}, {"ref": "yenyinghuang/assignment-1-1", "kernel_id": "1297173"}, {"ref": "yenyinghuang/assignment-1-2", "kernel_id": "1297403"}, {"ref": "wecious/prediction-of-housing-price", "kernel_id": "1412701"}, {"ref": "shinyafujita/shinyafujita-home-04", "kernel_id": "1085988"}, {"ref": "shinyafujita/shinyafujita-home-03", "kernel_id": "1085353"}, {"ref": "shinyafujita/shinyafujita-home-02", "kernel_id": "1055258"}, {"ref": "hharvey84/my-first-machine-learning-model-876801", "kernel_id": "1010916"}, {"ref": "endlesslethe/siwei-house-prices", "kernel_id": "1035943"}, {"ref": "shreyabhandari/average-model", "kernel_id": "1862065"}, {"ref": "qqqzdl/hello-ml-world-part-2", "kernel_id": "1302289"}, {"ref": "qqqzdl/hello-ml-world", "kernel_id": "1215494"}, {"ref": "aonibi/evaluating-preprocessing", "kernel_id": "1151523"}, {"ref": "macespinoza/notebook-entrenamiento-1", "kernel_id": "1644112"}, {"ref": "grribeiro/just-following-kaggle-s-machine-learning-tutorial", "kernel_id": "1292506"}, {"ref": "hankhyd/machine-learning-level-1-prac", "kernel_id": "1360158"}, {"ref": "dkleefisch/compact-regression-analysis-15-predictors", "kernel_id": "1059718"}, {"ref": "geeklund/housing-data", "kernel_id": "1209581"}, {"ref": "agarwalpeeush/my-first-machine-learning-model", "kernel_id": "1314765"}, {"ref": "kpawel/attempt-2", "kernel_id": "1088212"}, {"ref": "dglindner2/lasso-regression-on-housing-data", "kernel_id": "1078582"}, {"ref": "aleksandrskrivickis/alex-kernel", "kernel_id": "1832561"}, {"ref": "arvind0007/my-first-machine-learning-model", "kernel_id": "1330111"}, {"ref": "saychelsea11/predicting-housing-prices-using-gbr", "kernel_id": "1433272"}, {"ref": "ipul23/kernel8a7a97ab6e", "kernel_id": "1316963"}, {"ref": "charlopan/fork-of-9321project3", "kernel_id": "1812989"}, {"ref": "mershack/welcome-to-data-science-in-r-iowa-housing-data", "kernel_id": "1179734"}, {"ref": "mershack/my-first-machine-learning-model", "kernel_id": "1059878"}, {"ref": "ashirahama/blending", "kernel_id": "1791051"}, {"ref": "ashirahama/try-stacking-model", "kernel_id": "1806545"}, {"ref": "krishna2804/house-sales-price", "kernel_id": "1164387"}, {"ref": "dsgfreeman/iowa-housing-data", "kernel_id": "1054809"}, {"ref": "russelcorbo/my-first-machine-learning-model-7fcb35", "kernel_id": "1008271"}, {"ref": "anweshasinha/my-concepts-clear-house-price-prediction", "kernel_id": "1493989"}, {"ref": "dpkenna/house-prices-eds-attempt", "kernel_id": "1162043"}, {"ref": "pbzeppelin/my-first-machine-learning-model-44ddff", "kernel_id": "1020952"}, {"ref": "kasmithh/basic-data-cleaning-and-exploration", "kernel_id": "1609663"}, {"ref": "fragote/handling-missing-values-622122", "kernel_id": "1340457"}, {"ref": "fragote/my-first-machine-learning-model-eb3b8f", "kernel_id": "1275612"}, {"ref": "anithakm/my-first-machine-learning-model-8672f6", "kernel_id": "1009666"}, {"ref": "seanprendi/welcome-to-data-science-in-r-workbook-10a62f", "kernel_id": "1319309"}, {"ref": "seanprendi/welcome-to-data-science-in-r-workbook-be7ae2", "kernel_id": "1315372"}, {"ref": "brwalk/housing-prices-step-wise-regression-model", "kernel_id": "1968018"}, {"ref": "sdevan/top-25-with-ridge-detailed-eda-and-data-cleaning", "kernel_id": "1061596"}, {"ref": "peterlhj99/my-first-machine-learning-model", "kernel_id": "1195781"}, {"ref": "weibowen123/house-price-predicting", "kernel_id": "1627387"}, {"ref": "zeminpiao/using-categorical-data-with-one-hot-encoding", "kernel_id": "1048062"}, {"ref": "byanua/welcome-to-data-science-in-r-workbook", "kernel_id": "1333876"}, {"ref": "woshiliziming/my-first-machine-learning-model-on-house-prices", "kernel_id": "1436844"}, {"ref": "hiroccini/house-prices-regression", "kernel_id": "1739961"}, {"ref": "sonalsavaliya/my-first-machine-learning-model", "kernel_id": "1018442"}, {"ref": "sonalsavaliya/my-first-machine-learning-model-8653eb", "kernel_id": "1019354"}, {"ref": "djohnbar/house-prices-with-rf", "kernel_id": "1395335"}, {"ref": "suvarshini/house-price-prediction-using-ensemble", "kernel_id": "1581035"}, {"ref": "charleskwanin/iowa-house-prices-2010", "kernel_id": "1084445"}, {"ref": "phucbb/housing-price-prediction", "kernel_id": "1600078"}, {"ref": "shabanakhan/iowa-housing-dataset-competition-submission", "kernel_id": "1056514"}, {"ref": "nimeshikaranasinghe/kernel55d4b2c230", "kernel_id": "1205558"}, {"ref": "sajith01prasad/kaggle-housing-prices-sajith-prasad", "kernel_id": "1198893"}, {"ref": "priyankkumar218/householdpricespriyank", "kernel_id": "1966533"}, {"ref": "achan1984/my-first-machine-learning-model", "kernel_id": "1003814"}, {"ref": "davidmtl/my-first-machine-learning-model", "kernel_id": "1004178"}, {"ref": "wangdsh/submitting-from-a-kernel", "kernel_id": "1620603"}, {"ref": "wangdsh/using-categorical-data-with-one-hot-encoding", "kernel_id": "1641325"}, {"ref": "wangdsh/handling-missing-values", "kernel_id": "1640329"}, {"ref": "wangdsh/xgboost", "kernel_id": "1666213"}, {"ref": "hhngan/my-first-machine-learning-model-23b993", "kernel_id": "1019605"}, {"ref": "karanjakhar/my-first-machine-learning-model", "kernel_id": "1393361"}, {"ref": "yifei87/my-first-machine-learning-model", "kernel_id": "1262617"}, {"ref": "souravjoy29/my-first-machine-learning-model-084576", "kernel_id": "1046411"}, {"ref": "souravjoy29/sourav-karmakar-1", "kernel_id": "1047408"}, {"ref": "satish678/my-first-machine-learning-model-678", "kernel_id": "1322093"}, {"ref": "sisakk/house-price-calculation-first-competition", "kernel_id": "1266587"}, {"ref": "samuelashcroft/my-first-machine-learning-models", "kernel_id": "1079532"}, {"ref": "rayfave/ml-with-random-tree-classifier-xgboost", "kernel_id": "1028544"}, {"ref": "hardenju/house-price-predicting", "kernel_id": "1521972"}, {"ref": "taislu/ml-on-house-prices-predictions-tutorial", "kernel_id": "1061832"}, {"ref": "saiprashanth1988/my-first-machine-learning-model", "kernel_id": "1019782"}, {"ref": "nishann/my-first-machine-learning-model", "kernel_id": "1016481"}, {"ref": "jimmyjoy850812/my-first-machine-learning-model", "kernel_id": "1078364"}, {"ref": "ranjith49/fork-of-house-price-prediction", "kernel_id": "1182172"}, {"ref": "ymdahi/my-first-machine-learning-model", "kernel_id": "1024016"}, {"ref": "risingdeveloper/my-first-machine-learning-model", "kernel_id": "1024988"}, {"ref": "joanfo/my-first-kernel", "kernel_id": "1241625"}, {"ref": "rajczar/my-first-machine-learning-model", "kernel_id": "1036464"}, {"ref": "tseringpaldhen/advanced-regression-for-housing-price-prediction", "kernel_id": "1055658"}, {"ref": "antonylavoye/fork-of-houseprice", "kernel_id": "1958496"}, {"ref": "vasudhajha/my-first-machine-learning-model-049163", "kernel_id": "1042795"}, {"ref": "raghav582/kernel209389f3ed", "kernel_id": "1685748"}, {"ref": "anisulislamfahad/decisiontreeregressor-with-model-validation", "kernel_id": "1056792"}, {"ref": "anisulislamfahad/decisiontreeregressor-without-train-test-split", "kernel_id": "1050129"}, {"ref": "sunnytam/my-first-machine-learning-model", "kernel_id": "1044269"}, {"ref": "karpagam812/house-price-prediction-with-iowa-data", "kernel_id": "1052586"}, {"ref": "shreykaushik/my-first-machine-learning-model-c95cf6", "kernel_id": "1175073"}, {"ref": "resolver101757/sheffieldml-august-2018-getting-started-kernel", "kernel_id": "1490858"}, {"ref": "amirganiev/kernel4e28a5970f", "kernel_id": "1062489"}, {"ref": "amirganiev/fork-of-kernel4e28a5970f-c8b3dc", "kernel_id": "1084674"}, {"ref": "amirganiev/prediction-of-housing-prices-in-the-state-of-iowa", "kernel_id": "1217863"}, {"ref": "sharwan/my-first-machine-learning-model-0f8b08", "kernel_id": "1053799"}, {"ref": "sharwan/my-first-machine-learning-model", "kernel_id": "1053727"}, {"ref": "paivenky191/sales-price-prediction-using-multiple-regression", "kernel_id": "1851009"}, {"ref": "iamshaan/my-first-machine-learning-model-1c57f6", "kernel_id": "1062805"}, {"ref": "lightway82/my-first-machine-learning-model", "kernel_id": "1056315"}, {"ref": "lanxueyun/fork-of-my-first-ml-model-for-house-price", "kernel_id": "1090276"}, {"ref": "jadatravu/kfold-validation-principal-component-analysis", "kernel_id": "1059109"}, {"ref": "ljylxl/first-test-jerry", "kernel_id": "1073413"}, {"ref": "martynascep/tutorial", "kernel_id": "1063402"}, {"ref": "zahraz28/predication-code-2nd-attempt", "kernel_id": "1308645"}, {"ref": "winstonvan/kitty", "kernel_id": "1194233"}, {"ref": "andreaskappus/houses-prices-predictions-from-learn-section", "kernel_id": "1200922"}, {"ref": "andreaskappus/ml-learn-section", "kernel_id": "1203674"}, {"ref": "meghakansal/my-first-machine-learning-model-e4c562", "kernel_id": "1192240"}, {"ref": "sreedharpatiyara/house-regression", "kernel_id": "1244257"}, {"ref": "xiong2018/boston-house-predict", "kernel_id": "1170220"}, {"ref": "fadyaboujaoude/first-notebook", "kernel_id": "1078532"}, {"ref": "lukaszgasior/machine-learning-xgboost", "kernel_id": "1175661"}, {"ref": "lukaszgasior/machine-learning", "kernel_id": "1079924"}, {"ref": "rajveer7470/housing-prices-competition-part-2-predictions", "kernel_id": "1151305"}, {"ref": "khandelwallaksya/house-prices-eda", "kernel_id": "1232364"}, {"ref": "sameer99/my-first-machine-learning-model", "kernel_id": "1086023"}, {"ref": "alexquach/house", "kernel_id": "1174937"}, {"ref": "kunal097/learn-machine-learning", "kernel_id": "1090989"}, {"ref": "fumble14159/comprehensive-data-exploration-with-python", "kernel_id": "1719468"}, {"ref": "abhinandrk/data-exploration-and-prediction-of-house-price", "kernel_id": "1595873"}, {"ref": "fchaochao/kaggle-learn-ml", "kernel_id": "1109600"}, {"ref": "infinitus11/house-prices", "kernel_id": "1235681"}, {"ref": "honeysingh/linear-regression-from-zero", "kernel_id": "1606152"}, {"ref": "mawaaw/test-submitting-from-a-kernel", "kernel_id": "1142993"}, {"ref": "hefcyt/practicas-del-curso-de-machine-learning-by-danb", "kernel_id": "1156947"}, {"ref": "aditigune/fork-of-my-first-machine-29-6-2018", "kernel_id": "1235180"}, {"ref": "aditigune/my-first-machine-29-6-2018", "kernel_id": "1208688"}, {"ref": "mahmoudmohamed/house-prices-xgboost", "kernel_id": "1169639"}, {"ref": "dkimds/ml-track-lv1-practice", "kernel_id": "1199990"}, {"ref": "dkimds/ml-track-lv2-practice", "kernel_id": "1281241"}, {"ref": "frizzles7/my-first-machine-learning-model", "kernel_id": "1239281"}, {"ref": "frizzles7/my-first-machine-learning-model-level-2", "kernel_id": "1244047"}, {"ref": "dtl333/ml-model-for-the-absolute-beginner", "kernel_id": "1225932"}, {"ref": "edge21/welcome-to-data-science-in-r-workbook-ab0631", "kernel_id": "1128782"}, {"ref": "siriyadav/my-first-machine-learning-model", "kernel_id": "1278589"}, {"ref": "pnussbaum/learn-ml-part-2-imputed-avg-vs-drop-column", "kernel_id": "1346691"}, {"ref": "bbbb56/my-first-machine-learning-model", "kernel_id": "1147134"}, {"ref": "secretagent99/mlc-data-knowledge", "kernel_id": "1162083"}, {"ref": "deathmoose/xgb-model-for-iowa-housing-data", "kernel_id": "1288974"}, {"ref": "deathmoose/iowa-housing-data-random-forest-model", "kernel_id": "1284320"}, {"ref": "funkegoodvibe/comprehensive-data-exploration-with-python", "kernel_id": "1380330"}, {"ref": "victoribarra1995/house-prices", "kernel_id": "1243820"}, {"ref": "victoribarra1995/house-prices-647055", "kernel_id": "1456677"}, {"ref": "vyshakramanan/my-first-decisiontree-model-sklearn-library", "kernel_id": "1186240"}, {"ref": "anmol26/my-first-machine-learning-model", "kernel_id": "1155033"}, {"ref": "anmol26/submitting-from-a-kernel", "kernel_id": "1159275"}, {"ref": "shayanb2004/ml-learning-submission", "kernel_id": "1177611"}, {"ref": "iambjlee/house-price-with-keras", "kernel_id": "1189447"}, {"ref": "iambjlee/house-prices-advanced-regression-techniques", "kernel_id": "1183652"}, {"ref": "sajover/submitting-from-a-kernel", "kernel_id": "1243754"}, {"ref": "alexmoreorless/fork-of-my-first-machine-learning-model-07ad75", "kernel_id": "1199463"}, {"ref": "udhanmante/linear-regression-random-forest-keras", "kernel_id": "1314999"}, {"ref": "jnance34/my-first-machine-learning-model", "kernel_id": "1176180"}, {"ref": "nickcerco/house-prices-advanced-regression-techniques", "kernel_id": "1256854"}, {"ref": "stringabcd/housepricessvm", "kernel_id": "1376488"}, {"ref": "stringabcd/housepricesgbrt", "kernel_id": "1371813"}, {"ref": "rickyxucn/house-prices-linearregression", "kernel_id": "1283430"}, {"ref": "sejeong/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "1186850"}, {"ref": "sinhaakshay/my-first-machine-learning-model", "kernel_id": "1182412"}, {"ref": "sinhaakshay/fork-of-my-first-machine-learning-model", "kernel_id": "1182439"}, {"ref": "shaynarh/machine-learning-project", "kernel_id": "1238968"}, {"ref": "shaynarh/machine-learning-handling-missing-values", "kernel_id": "1243590"}, {"ref": "pallaviallada/my-first-machine-learning-model", "kernel_id": "1207818"}, {"ref": "pallaviallada/randomforest-machinelearning", "kernel_id": "1209641"}, {"ref": "myqwerty/my-first-machine-learning-model-2fed0c", "kernel_id": "1302030"}, {"ref": "vijaysridhar1991/my-first-machine-learning-model-8382e9", "kernel_id": "1196321"}, {"ref": "vijaysridhar1991/iowa-housing", "kernel_id": "1315496"}, {"ref": "dhiwakarkusuma/my-first-machine-learning-model", "kernel_id": "1189556"}, {"ref": "sonjil/my-first-machine-learning-model", "kernel_id": "1196449"}, {"ref": "squeezedfish/stage-1-machine-learning", "kernel_id": "1205762"}, {"ref": "stringsaeed/pricing", "kernel_id": "1212257"}, {"ref": "charan506/handling-missing-values-2b980f", "kernel_id": "1690847"}, {"ref": "charan506/beginners-approach-to-make-models", "kernel_id": "1690956"}, {"ref": "yasmino/basic-random-forest-model", "kernel_id": "1959130"}, {"ref": "sweta412/house-pricing", "kernel_id": "1199277"}, {"ref": "pratikmirani/house-prices-lasso-xgboost-and-a-detailed-eda", "kernel_id": "1817856"}, {"ref": "riddlerclash/handling-missing-values-21baa3", "kernel_id": "1250547"}, {"ref": "riddlerclash/my-first-machine-learning-model", "kernel_id": "1225297"}, {"ref": "winiarski10/house-prices-ml-model", "kernel_id": "1347362"}, {"ref": "zs4698/comprehensive-data-exploration-with-python", "kernel_id": "1204730"}, {"ref": "itukaiti/house-price-advanced-regression-techniques", "kernel_id": "1635158"}, {"ref": "corvuslee/house-prices-prediction-with-xgbregressor", "kernel_id": "1281649"}, {"ref": "mba2ernestocr/random-forests", "kernel_id": "1321099"}, {"ref": "naresh49/machine-learning-1-nareshk", "kernel_id": "1230291"}, {"ref": "chandanadiga/my-first-machine-learning-model", "kernel_id": "1224323"}, {"ref": "parthdarekar/kernel00e70b4264", "kernel_id": "1355463"}, {"ref": "yeoleparesh/my-first-machine-learning-model", "kernel_id": "1333035"}, {"ref": "adamtatun/current-entry", "kernel_id": "1239045"}, {"ref": "adamtatun/my-first-machine-learning-model-5add19", "kernel_id": "1226479"}, {"ref": "sns224/house-pricing-model-final", "kernel_id": "1259235"}, {"ref": "dunioh/my-first-machine-learning-model", "kernel_id": "1228697"}, {"ref": "thenameisdrey/my-first-machine-learning-model-47d188", "kernel_id": "1276880"}, {"ref": "anupjana/top-17-ames-house-pricing-ensemble-regression", "kernel_id": "1493751"}, {"ref": "hemanth93/my-first-machine-learning-model", "kernel_id": "1230404"}, {"ref": "gdonaire/my-first-machine-learning-model", "kernel_id": "1230946"}, {"ref": "gdonaire/submitting-from-a-kernel", "kernel_id": "1233437"}, {"ref": "abhi20nav/kernel6288ac83ea", "kernel_id": "1383106"}, {"ref": "divyanshsharma/my-first-machine-learning-model", "kernel_id": "1235148"}, {"ref": "chhuang0123/scikit-learn-lr-rfr-and-nn", "kernel_id": "1267195"}, {"ref": "queenfiona/iowa-data-model", "kernel_id": "1240203"}, {"ref": "shekhovtsov/roman", "kernel_id": "1236128"}, {"ref": "praveenks30/my-first-machine-learning-model", "kernel_id": "1253802"}, {"ref": "aditya790/housing-prices-prediction-iowa", "kernel_id": "1237198"}, {"ref": "sumitnair/welcome-to-data-science-in-r-workbook-0f5ba5", "kernel_id": "1243475"}, {"ref": "tsai90k/house-prices-xgboost", "kernel_id": "1244794"}, {"ref": "tsai90k/house-prices-linearregression", "kernel_id": "1239759"}, {"ref": "tsai90k/house-prices-dnn", "kernel_id": "1286390"}, {"ref": "evacheng/assigment-1", "kernel_id": "1261094"}, {"ref": "jagdish1980/my-first-machine-learning-model-829b95", "kernel_id": "1255710"}, {"ref": "jaskarannagi19/using-different-models-to-understand-difference", "kernel_id": "1251531"}, {"ref": "jaskarannagi19/validation-of-model", "kernel_id": "1253654"}, {"ref": "jaskarannagi19/fork-of-validation-of-model", "kernel_id": "1254000"}, {"ref": "jaskarannagi19/lowa-housing-set", "kernel_id": "1254034"}, {"ref": "jaskarannagi19/learning-to-use-xgboost", "kernel_id": "1263488"}, {"ref": "jaskarannagi19/fork-of-lowa-housing-set", "kernel_id": "1261984"}, {"ref": "jaskarannagi19/using-categorical-data-with-one-hot-encoding", "kernel_id": "1261644"}, {"ref": "aniketmm98/house-price-prediction", "kernel_id": "1264948"}, {"ref": "krishnam08/handling-missing-values", "kernel_id": "1260428"}, {"ref": "patricksong/housing-price-prediction", "kernel_id": "1250121"}, {"ref": "rahul593/predicting-housing-price-iowa-data-set", "kernel_id": "1245719"}, {"ref": "ajay29/first-project-with-machine-lerning", "kernel_id": "1243298"}, {"ref": "rubychang/my-first-house-value-model", "kernel_id": "1251141"}, {"ref": "trendtonychu/trend-tony-chu-assignment1", "kernel_id": "1280549"}, {"ref": "trendtonychu/trend-tony-chu-assignment1-forest", "kernel_id": "1286061"}, {"ref": "anakul9/my-first-machine-learning-model", "kernel_id": "1248379"}, {"ref": "katiemishra/my-first-machine-learning-model", "kernel_id": "1248646"}, {"ref": "depmountaineer/submitting-from-a-kernel", "kernel_id": "1313414"}, {"ref": "depmountaineer/eda-and-basic-model-for-housing-prices", "kernel_id": "1548200"}, {"ref": "depmountaineer/eda-and-basic-model-for-housing-prices-improved", "kernel_id": "1554552"}, {"ref": "ltp201610214518/ltptest", "kernel_id": "1250906"}, {"ref": "kshtijroy/my-first-machine-learning-model", "kernel_id": "1306235"}, {"ref": "kevinwwu/assignment-1", "kernel_id": "1297005"}, {"ref": "yavu2demir/grad-dec", "kernel_id": "1343768"}, {"ref": "yavu2demir/my-first-machine-learning-model", "kernel_id": "1281474"}, {"ref": "jitendergrover0101/my-first-machine-learning-model", "kernel_id": "1262278"}, {"ref": "peicao/house-prices-regression-notebook", "kernel_id": "1291300"}, {"ref": "peicao/house-prices-regression-notebook-refined", "kernel_id": "1345243"}, {"ref": "angana10/my-first-machine-learning-model", "kernel_id": "1336455"}, {"ref": "chriswmann/house-prices-advanced-regression-techniques", "kernel_id": "1509507"}, {"ref": "yiidtw/a-complete-guide-for-regression-problem", "kernel_id": "1282993"}, {"ref": "yiidtw/house-price", "kernel_id": "1260737"}, {"ref": "mizomatic/houses-regression-xgb", "kernel_id": "1852145"}, {"ref": "jeffkanyi/my-first-machine-learning-model", "kernel_id": "1263464"}, {"ref": "rbpatt2019/machine-learning-with-pipelines", "kernel_id": "1461189"}, {"ref": "rbpatt2019/machine-learning-first-draft", "kernel_id": "1456532"}, {"ref": "rbpatt2019/my-first-machine-learning-model", "kernel_id": "1355897"}, {"ref": "perlinwarp/xgboost-for-house-pricing", "kernel_id": "1287037"}, {"ref": "zcbtf85/random-forests-to-predict-house-prices-beginners", "kernel_id": "1294516"}, {"ref": "suprabhatdas/my-first-machine-learning-model", "kernel_id": "1268792"}, {"ref": "austinwright/my-first-machine-learning-model-60cb9a", "kernel_id": "1267281"}, {"ref": "sdshariff/my-first-machine-learning-model123", "kernel_id": "1307490"}, {"ref": "rosswalter/zillow-proprietary-algorithm", "kernel_id": "1275027"}, {"ref": "ykrueng/house-prices-prediction", "kernel_id": "1271266"}, {"ref": "fooeta/house-price-my-first-try", "kernel_id": "1365918"}, {"ref": "liveo13/my-first-machine-learning-model", "kernel_id": "1281331"}, {"ref": "junyingzhang2018/ridge-regression-score-0-119", "kernel_id": "1279079"}, {"ref": "suibility/my-first-machine-learning-model-84c325", "kernel_id": "1303332"}, {"ref": "lukpierri/my-first-machine-learning-model", "kernel_id": "1282352"}, {"ref": "clubjuggler/welcome-to-data-science-in-r-workbook", "kernel_id": "1333315"}, {"ref": "jasonmei/house-prices-assignment-1", "kernel_id": "1284943"}, {"ref": "lelouchswag/first-glance-at-machine-learning-models", "kernel_id": "1355634"}, {"ref": "rohikg/house-prices", "kernel_id": "1350613"}, {"ref": "hanpengliu/my-first-machine-learning-model", "kernel_id": "1288228"}, {"ref": "carlostomeh/modelo-de-predi-o-imoveis-de-iowa", "kernel_id": "1356947"}, {"ref": "samsonqian/predicting-house-prices-with-regression", "kernel_id": "1395403"}, {"ref": "luisouthier/my-first-machine-learning-model", "kernel_id": "1294512"}, {"ref": "sychuan/my-first-machine-learning-model", "kernel_id": "1310054"}, {"ref": "netokey/house-price-kernel-by-xgboost", "kernel_id": "1325742"}, {"ref": "netokey/house-price-kernel-advanced", "kernel_id": "1322218"}, {"ref": "netokey/house-price-kernel", "kernel_id": "1321018"}, {"ref": "ankitbasu/exercise-machine-learning-competitions", "kernel_id": "1895827"}, {"ref": "nagar500/house-price-using-random-forest-regressor", "kernel_id": "1381845"}, {"ref": "rajendrakutwal7/kernel124ae7cbf0", "kernel_id": "1377680"}, {"ref": "whoaskedme/houses-competition", "kernel_id": "1580623"}, {"ref": "nakulgupta7447/my-first-machine-learning-model", "kernel_id": "1351297"}, {"ref": "taolearnstolearn/a-single-pipeline-with-lasso-regression", "kernel_id": "1525253"}, {"ref": "taolearnstolearn/clean-and-stream-lined-data-preprocessing", "kernel_id": "1517297"}, {"ref": "avibrazil/robust-feature-engineering-bagging-ensamble", "kernel_id": "1719165"}, {"ref": "kshitijagg/my-first-machine-learning-model", "kernel_id": "1332192"}, {"ref": "ivanwong1994/fork-of-my-first-machine-learning-model-78c2dd", "kernel_id": "1335847"}, {"ref": "ganeshsince1992/predicting-house-prices-using-r", "kernel_id": "1704678"}, {"ref": "vjgupta/reach-top-10-with-simple-model-on-housing-prices", "kernel_id": "1512086"}, {"ref": "vjgupta/make-first-machine-learning-model", "kernel_id": "1382194"}, {"ref": "edjoubin/welcome-to-data-science-in-r-workbook-93576b", "kernel_id": "1361439"}, {"ref": "deepakkhirey/my-first-machine-learning-model", "kernel_id": "1395946"}, {"ref": "lmzentner/my-first-machine-learning-model", "kernel_id": "1332755"}, {"ref": "ivanzhouyue/lasso-ridge-regression-beginners", "kernel_id": "1370597"}, {"ref": "corycaaz/welcome-to-data-science-in-r-workbook", "kernel_id": "1960785"}, {"ref": "ajboschee/housing-model", "kernel_id": "1332295"}, {"ref": "ddriver/ddriver-housepricing01", "kernel_id": "1463776"}, {"ref": "jwong4494/beginner-house-price-prediction-eda", "kernel_id": "1688984"}, {"ref": "aryan15/coolkernel", "kernel_id": "1339702"}, {"ref": "girishshankaran/my-first-machine-learning-model", "kernel_id": "1336504"}, {"ref": "santibermejo/xgboost-for-house-price-prediction", "kernel_id": "1979721"}, {"ref": "wkevin/house-prices", "kernel_id": "1501118"}, {"ref": "zdimensional/my-first-machine-learning-model", "kernel_id": "1344104"}, {"ref": "yugds1/housing-price-prediction-practice", "kernel_id": "1344934"}, {"ref": "alokchand0202/predicting-the-house-prices", "kernel_id": "1665796"}, {"ref": "franciscogc/house-prices-prediction-using-tensor-flow", "kernel_id": "1353431"}, {"ref": "bigkirill/house-pricing-uses-catboost", "kernel_id": "1533249"}, {"ref": "anihaldaran/my-first-machine-learning-model-on-house-prices", "kernel_id": "1374711"}, {"ref": "yusrasyed/my-first-machine-learning-model", "kernel_id": "1372334"}, {"ref": "hduongck/my-first-machine-learning-model", "kernel_id": "1362659"}, {"ref": "kjagadeeshkumar46/my-first-machine-learning-model", "kernel_id": "1361562"}, {"ref": "jimbabwe00/fork-of-my-first-machine-learning-model", "kernel_id": "1370014"}, {"ref": "jimbabwe00/my-first-machine-learning-model-optimized", "kernel_id": "1380649"}, {"ref": "louis030195/house-prices", "kernel_id": "1383155"}, {"ref": "markbquant/compare-catboostregressor-vs-xgbregressor", "kernel_id": "1601168"}, {"ref": "ttran90/xgboosthousepriceprediction", "kernel_id": "1390965"}, {"ref": "ttran90/firsthousepriceprediction", "kernel_id": "1374571"}, {"ref": "brianviegas/house-prices-issue-analysis", "kernel_id": "1394075"}, {"ref": "brianviegas/univariate-linear-regression-house-prices", "kernel_id": "1395134"}, {"ref": "brianviegas/submission-gradient-descent-multivariate", "kernel_id": "1399851"}, {"ref": "brianviegas/submission-gradient-descent-univariate", "kernel_id": "1400365"}, {"ref": "brianviegas/multivariate-linear-regression-house-prices", "kernel_id": "1399539"}, {"ref": "danielp4/iowa-forest-model", "kernel_id": "1375491"}, {"ref": "theojiang/my-first-machine-learning-model-d34630", "kernel_id": "1377817"}, {"ref": "maxtargayen/secondtryforhousepredict", "kernel_id": "1389702"}, {"ref": "hreeya/handling-missing-values", "kernel_id": "1589214"}, {"ref": "hreeya/partial-dependence-plots-examples", "kernel_id": "1619159"}, {"ref": "madhavan93/my-first-machine-learning-model", "kernel_id": "1387493"}, {"ref": "shabhay/house-price-ridge-lasso-xgboost", "kernel_id": "1799052"}, {"ref": "deepsworld/house-prices-prediction", "kernel_id": "1426548"}, {"ref": "wesleyjr01/descomplicated-stacked-regression-kernel-top-19", "kernel_id": "1538660"}, {"ref": "yonelanuba/data-cleaning-visualization-till-prediction", "kernel_id": "1855674"}, {"ref": "devdas14224/random-forest-optimization-with-forward-selection", "kernel_id": "1866515"}, {"ref": "lelexad13/prediction-of-housing-prices-in-iowa", "kernel_id": "1497378"}, {"ref": "leventizci/house-prices-data-analysis", "kernel_id": "1554778"}, {"ref": "kinoet/machine-learning-note", "kernel_id": "1810220"}, {"ref": "kinoet/housing-price-playground", "kernel_id": "1628311"}, {"ref": "jonokay1/house-prices-regression-techniques-jono", "kernel_id": "1541093"}, {"ref": "anaphase21/welcome-to-data-science-in-r-workbook", "kernel_id": "1431926"}, {"ref": "spitson/house-prices", "kernel_id": "1640701"}, {"ref": "williamtsunobrasil/house-prices-advanced-reg-submit", "kernel_id": "1469501"}, {"ref": "williamtsunobrasil/housing-prices-competition-for-kaggle-learn-study", "kernel_id": "1445082"}, {"ref": "williamtsunobrasil/fork-of-house-prices-advanced-reg-submi-5458ef", "kernel_id": "1636989"}, {"ref": "knly10/house-price-prediction-with-exploratory-analysis", "kernel_id": "1504699"}, {"ref": "monthepp/house-prices-advanced-regression-techniques", "kernel_id": "1470418"}, {"ref": "bukelwa/house-price-predictor-model", "kernel_id": "1556506"}, {"ref": "rakadalal1993/house-price-prediction-my-first-kernel", "kernel_id": "1684834"}, {"ref": "konieshadow/my-first-xgboost-model", "kernel_id": "1506955"}, {"ref": "hientd/my-house-prices-advanced-regression-techniques", "kernel_id": "1507979"}, {"ref": "houge008/handling-missing-values", "kernel_id": "1836206"}, {"ref": "ai2prx/houseprice-walkthrough", "kernel_id": "1882933"}, {"ref": "uriah1001/boston-housing-regression", "kernel_id": "1735477"}, {"ref": "dbabs8/submitting-from-a-kernel-edd132", "kernel_id": "1535393"}, {"ref": "shindeshubham85/house-prices-regression", "kernel_id": "1611222"}, {"ref": "tecknomart/basic-feature-engineering-for-ml", "kernel_id": "1645186"}, {"ref": "strivedi1/handling-missing-values", "kernel_id": "1896122"}, {"ref": "iherbert/housing-prices", "kernel_id": "1585452"}, {"ref": "krishnaraj30/feature-engineering-regression-machine-learning", "kernel_id": "1709455"}, {"ref": "srijitghatak/house-prices-prediction", "kernel_id": "1599799"}, {"ref": "jonleon/use-pipelines-and-score-with-cross-validation", "kernel_id": "1946501"}, {"ref": "tangyubin/house-predict-using-gluon", "kernel_id": "1920239"}, {"ref": "kilianovski/missing-values-house-prices", "kernel_id": "1818935"}, {"ref": "chaitanyapatil7/mnist-data-keras", "kernel_id": "1593900"}, {"ref": "abhisheksss/kernel1d10288025", "kernel_id": "1742319"}, {"ref": "ramjan135/handling-missing-values", "kernel_id": "1848907"}, {"ref": "miloofcroton/house-prices-regression-using-catboost-2", "kernel_id": "1947693"}, {"ref": "kanakroy/house-price-prediction-using-xgboost", "kernel_id": "1656818"}, {"ref": "tingwei024/comprehensive-data-exploration-with-python", "kernel_id": "1948692"}, {"ref": "alvaromendoza/manual-fe-sklearn-pandas-pipelines-ensembling", "kernel_id": "1752333"}, {"ref": "lakshyauttrani/using-categorical-data-with-one-hot-encoding", "kernel_id": "1666946"}, {"ref": "naumanahm/nauman-attempt3-final", "kernel_id": "1643184"}, {"ref": "kokomexcelsa/gradient-boost", "kernel_id": "1755306"}, {"ref": "ic3ic8/aiahw", "kernel_id": "1669076"}, {"ref": "and0704/handling-missing-values", "kernel_id": "1711381"}, {"ref": "sghatak123/ghatak-home-prices", "kernel_id": "1769636"}, {"ref": "plsms21/2a-using-categorical-data-with-one-hot-encoding", "kernel_id": "1805611"}, {"ref": "plsms21/3a-xgboost", "kernel_id": "1805612"}, {"ref": "plsms21/1a-handling-missing-values", "kernel_id": "1805601"}, {"ref": "plsms21/1b-exercise-handling-missing-values", "kernel_id": "1810483"}, {"ref": "plsms21/2b-ex-using-categorical-data-with-one-hot-encoder", "kernel_id": "1811392"}, {"ref": "plsms21/3b-exercise-xgboost", "kernel_id": "1811539"}, {"ref": "mjidiba/a-beginner-s-guide-to-his-first-kaggle-project", "kernel_id": "1795234"}, {"ref": "rishabhjain2764/firstsubmission", "kernel_id": "1768097"}, {"ref": "agtadarsh/exp-random-forest", "kernel_id": "1768072"}, {"ref": "combo1/welcome-to-data-science-in-r-workbook-44cc1d", "kernel_id": "1752322"}, {"ref": "riyag2805/submitting-from-a-kernel", "kernel_id": "1815035"}, {"ref": "sampadab17/house-prices-using-lasso-model", "kernel_id": "1819760"}, {"ref": "billycrawford/house-prices-data-preparation", "kernel_id": "1948790"}, {"ref": "dystopianprophet/welcome-to-data-science-in-r-workbook", "kernel_id": "1803155"}, {"ref": "manuelin/kernel0aec948335", "kernel_id": "1835261"}, {"ref": "kripakaran/house-prices", "kernel_id": "1806166"}, {"ref": "ksdangwal/house-price-based-on-different-parameter", "kernel_id": "1864347"}, {"ref": "ksdangwal/average-model-salesprice", "kernel_id": "1862108"}, {"ref": "ksdangwal/house-prices-ksd", "kernel_id": "1812993"}, {"ref": "nikkisharma536/salesprice-predictions", "kernel_id": "1820451"}, {"ref": "talha87/house-prices-predictions", "kernel_id": "1883760"}, {"ref": "nitin0102/housepricemodel-nitin", "kernel_id": "1868546"}, {"ref": "nitin0102/practice", "kernel_id": "1812991"}, {"ref": "liammelaugh/handling-missing-values-fa7328", "kernel_id": "1919622"}, {"ref": "mkariithi/real-estate-sales-price-prediction", "kernel_id": "1828202"}, {"ref": "baggia/welcome-to-data-science-in-r-workbook", "kernel_id": "1867661"}, {"ref": "jazivxt/braveheart-at-home", "kernel_id": "1916866"}, {"ref": "lisamhclark/sheffieldml-august-2018-getting-started-kernel", "kernel_id": "1887281"}, {"ref": "sobharaj/welcome-to-data-science-in-r-workbook", "kernel_id": "1923566"}, {"ref": "kartikay5/housing-prices", "kernel_id": "1964609"}, {"ref": "roberthkaggle/handling-missing-values", "kernel_id": "1981751"}, {"ref": "loicsanchez/an-attempt-to-predict-real-estate-prices", "kernel_id": "1961914"}, {"ref": "zenstat/beginner-linear-ridge-regression-xgb", "kernel_id": "2914213"}, {"ref": "michiexile/eda-and-first-attempt", "kernel_id": "2795283"}, {"ref": "anubhavmaity/feature-engineering-using-random-forest", "kernel_id": "2355464"}, {"ref": "kishoreb4/analysis-on-house-prices-data-set", "kernel_id": "2107327"}, {"ref": "renuk16/deeplearningwtf", "kernel_id": "2082328"}, {"ref": "paularmand/data-science-workshop-house-price-prediction", "kernel_id": "2369558"}, {"ref": "silence2/l1-regularized-lr-feature-engineering", "kernel_id": "2547323"}, {"ref": "ayusov/house-prices-first-try-at-predictions-r-xgboost", "kernel_id": "2025658"}, {"ref": "hearsid/fork-of-comprehensive-data-exploration-with-python", "kernel_id": "2445055"}, {"ref": "superjohn/house-prices-lasso-xgboost-and-a-detailed-eda", "kernel_id": "2383307"}, {"ref": "goelpravin/lasso-linear-model-with-0-2-alpha", "kernel_id": "2540829"}, {"ref": "lpierezan/house-prices-eda-full-pipeline", "kernel_id": "2569823"}, {"ref": "valiavee/explore-feature-engineering-xgb-lasso-nn", "kernel_id": "2135940"}, {"ref": "alipala/ml-regressors-20-features", "kernel_id": "2124764"}, {"ref": "mauriciopereira23/exploratory-analysis-and-model-building", "kernel_id": "2754492"}, {"ref": "tandreina24/python-ensemble-models", "kernel_id": "2380026"}, {"ref": "naresh31/house-prices-advanced-regression-techniques", "kernel_id": "2541079"}, {"ref": "bertslonim/iowa-home-prices-first-time-kaggle-submission", "kernel_id": "2745119"}, {"ref": "bertslonim/first-attempt-at-iowa-home-prices", "kernel_id": "2684126"}, {"ref": "narsil/baseline-regression-from-xxiv-lo-norwid-warsaw", "kernel_id": "2415558"}, {"ref": "emptycasket/ooppipeline", "kernel_id": "2511538"}, {"ref": "datahobbit/exploratory-data-analysis-lightgbm-house-prices", "kernel_id": "2442085"}, {"ref": "cicipoo/regression-experimentation-on-transformed-dataset", "kernel_id": "2389648"}, {"ref": "cicipoo/initial-data-exploration-in-python", "kernel_id": "2375597"}, {"ref": "worldmovers/detailed-data-analysis-ensemble-modeling-3c5977", "kernel_id": "2696183"}, {"ref": "worldmovers/house-prices-lasso-xgboost-and-a-detaile-2fae9e", "kernel_id": "2702365"}, {"ref": "ranliu/r-ladies-philly-intro-to-machine-learning-meetup", "kernel_id": "2311228"}, {"ref": "jowin92/house-price-prediction", "kernel_id": "2459872"}, {"ref": "andypicke/my-simple-model", "kernel_id": "2004017"}, {"ref": "yilmazalp/house-price", "kernel_id": "2165929"}, {"ref": "lasmith/house-price-regression-with-lightgbm", "kernel_id": "2408222"}, {"ref": "nvinayshetty/hello-world-to-data-science-and-ml", "kernel_id": "2050425"}, {"ref": "ruchibahl18/house-price-prediction-with-data-cleaning", "kernel_id": "2091812"}, {"ref": "shadabhussain/handling-missing-values", "kernel_id": "2071395"}, {"ref": "masumrumi/a-detailed-regression-guide-with-house-pricing", "kernel_id": "2348903"}, {"ref": "jjlogu/fork-of-my-first-machine-learning-model", "kernel_id": "2896792"}, {"ref": "essamgoda/neural-network-model", "kernel_id": "2432811"}, {"ref": "essamgoda/gluon", "kernel_id": "2434505"}, {"ref": "tkanand/welcome-to-data-science-in-r-workbook", "kernel_id": "2980689"}, {"ref": "raimohaikari/house-prices-pls", "kernel_id": "2612546"}, {"ref": "rajashri/level-0-kernel", "kernel_id": "2014413"}, {"ref": "rgoodman/house-prices-from-scratch-ridge-and-lasso-viz", "kernel_id": "2747959"}, {"ref": "savanmorya/visual-outliers", "kernel_id": "2782445"}, {"ref": "vvinuv/house-price", "kernel_id": "2305669"}, {"ref": "neuronq/minimal-eda-feat-imp-using-rf", "kernel_id": "2744525"}, {"ref": "ejmejm/rochack-workshop", "kernel_id": "2024222"}, {"ref": "pravallikakolli/welcome-to-data-science-in-r-workbook", "kernel_id": "2897572"}, {"ref": "stanleygiovany96/deep-learning-workshop", "kernel_id": "2346187"}, {"ref": "dhavalsimaria/handling-missing-values", "kernel_id": "2415658"}, {"ref": "dhavalsimaria/handling-missing-values-iowa-house-prices", "kernel_id": "2422279"}, {"ref": "dhavalsimaria/xgboost-iowa-house-prices", "kernel_id": "2443334"}, {"ref": "dhavalsimaria/pipelines-iowa-house-prices", "kernel_id": "2451031"}, {"ref": "dhavalsimaria/partial-dependence-plot-iowa-house-prices", "kernel_id": "2449157"}, {"ref": "dhavalsimaria/cross-validation-iowa-house-prices", "kernel_id": "2465661"}, {"ref": "ishivinal/a-quick-way-to-make-your-first-submission-fast-ai", "kernel_id": "2490495"}, {"ref": "nimishr/house-prices-prediction", "kernel_id": "2767890"}, {"ref": "ashishpatel26/ensemble-learning-for-beginner-to-advance", "kernel_id": "2484600"}, {"ref": "pranjalrawat/house-prices-regression", "kernel_id": "2941586"}, {"ref": "jaganath/advanced-regression-techniques-explained-eda", "kernel_id": "2958215"}, {"ref": "ddmngml/averaged-xgboost-and-lightgbm-model", "kernel_id": "2629091"}, {"ref": "balinsky/welcome-to-data-science-in-r-workbook-9a9de9", "kernel_id": "2899207"}, {"ref": "nagulapatianusha369/housing-price-prediction-linear-regression", "kernel_id": "2682723"}, {"ref": "sgorlick/base-pipeline-lgb", "kernel_id": "2738118"}, {"ref": "themagikcow/hypothesis-testing", "kernel_id": "2849705"}, {"ref": "lidiaholokolosenko/submitting-from-a-kernel-4db10b", "kernel_id": "2419460"}, {"ref": "swaroopatkuri/kernel3bc79931f1", "kernel_id": "2014511"}, {"ref": "sharsha315/welcome-to-data-science-in-r-workbook-89127c", "kernel_id": "2672695"}, {"ref": "arunkumarramanan/hands-on-ml-with-scikit-learn-and-tensorflow-tbu", "kernel_id": "2379569"}, {"ref": "arunkumarramanan/tensorflow-tutorial-and-housing-price-prediction", "kernel_id": "2379358"}, {"ref": "arunkumarramanan/practical-machine-learning-with-pytorch-tbu", "kernel_id": "2371261"}, {"ref": "arunkumarramanan/awesome-ds-for-beginners-with-titanic-exploration", "kernel_id": "2290269"}, {"ref": "arunkumarramanan/awesome-deep-learning-with-cnn-mnist-classifier", "kernel_id": "2272643"}, {"ref": "arunkumarramanan/awesome-ml-and-text-classification-movie-reviews", "kernel_id": "2272874"}, {"ref": "arunkumarramanan/awesome-ml-frameworks-and-mnist-classification", "kernel_id": "2270215"}, {"ref": "arunkumarramanan/data-science-python-fuel-efficiency-prediction", "kernel_id": "2272905"}, {"ref": "arunkumarramanan/data-science-in-r-and-titanic-survival-prediction", "kernel_id": "2272949"}, {"ref": "arunkumarramanan/machine-learning-toolkits-awesome-ml-resources", "kernel_id": "2518488"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "nathanmaton/simplified-stacked-regressions-top-6-11528", "kernel_id": "2390621"}, {"ref": "kkshitiz26/simple-data-preprocessing-and-regression-models", "kernel_id": "2725008"}, {"ref": "abhibisht89/xgboost-for-starter", "kernel_id": "2110428"}, {"ref": "yamashita/stacked-regression-840156", "kernel_id": "2219997"}, {"ref": "gideon94/house-prices-with-stacked-regression-models", "kernel_id": "2139895"}, {"ref": "krunal3kapadiya/house-prices-predictions", "kernel_id": "2494661"}, {"ref": "diegomrod/simple-exploration-for-begginers-like-me", "kernel_id": "2605629"}, {"ref": "hamhochoi/comprehensive-data-exploration-with-python", "kernel_id": "2607133"}, {"ref": "gsdeepakkumar/house-price-prediction-starter-code-model", "kernel_id": "2742820"}, {"ref": "aarono/welcome-to-data-science-in-r-workbook", "kernel_id": "2335771"}, {"ref": "ecardin/week-3-house-prices", "kernel_id": "2021361"}, {"ref": "tbritton/visualizing-neighborhoods-and-house-type", "kernel_id": "2428025"}, {"ref": "tauranis/tensorflow-estimator-approach", "kernel_id": "2928222"}, {"ref": "rushabh123/stacking-linear-gb-models-house-price-prediction", "kernel_id": "2656594"}, {"ref": "shamoool/house-price-prediction-via-regression", "kernel_id": "2275470"}, {"ref": "kaumil97/advanced-regression-techniques-submission", "kernel_id": "2702784"}, {"ref": "egregori/ensemble-prediction", "kernel_id": "2231807"}, {"ref": "guinocencio/predi-es-de-pre-os-das-casas", "kernel_id": "2070355"}, {"ref": "manishnanwani/house-price-prediction", "kernel_id": "2244766"}, {"ref": "lucabasa/how-to-deal-with-categorical-features", "kernel_id": "2689775"}, {"ref": "chidamraji/predicting-house-price-using-random-forest", "kernel_id": "2597370"}, {"ref": "dczerniawko/house-prices-top-32-0-13091", "kernel_id": "2553215"}, {"ref": "angelgmedina/house-price-with-feature-selection", "kernel_id": "2145305"}, {"ref": "vaibhav29498/xgboost", "kernel_id": "2466366"}, {"ref": "ahmad85/stacked-regressions-top-4-on-leaderboard", "kernel_id": "2598109"}, {"ref": "jyeti10/house-costs-cleaning-analyzing-and-modeling", "kernel_id": "2114685"}, {"ref": "ankitbansal06/housing-price-prediction", "kernel_id": "2395014"}, {"ref": "oindrilasen/how-precious-is-my-dream-house", "kernel_id": "2927691"}, {"ref": "acaciopassos/house-price-predictions", "kernel_id": "2012156"}, {"ref": "prateek047/data-visualization-and-regression-predictors", "kernel_id": "2316560"}, {"ref": "nishankmagoo/predicting-house-prices-with-machine-learning", "kernel_id": "2453062"}, {"ref": "filwaitman/rmse-21-000-00-simple-and-non-overfitting-model", "kernel_id": "2312464"}, {"ref": "jinudaniel/house-price-prediction-with-fast-ai", "kernel_id": "2015111"}, {"ref": "pavelholubik/under-water-basket-weaving", "kernel_id": "2332712"}, {"ref": "padmaraj/house-prices-ames", "kernel_id": "2658915"}, {"ref": "instanum/house-price-predictions-regression-vs-svm-vs-gbt", "kernel_id": "2753296"}, {"ref": "victoriapeel/welcome-to-data-science-in-r-workbook", "kernel_id": "2544042"}, {"ref": "sarah1203/house-price-analysis-report", "kernel_id": "2716455"}, {"ref": "mohnishverma87/house-prices-regression-techniques-competition", "kernel_id": "2543663"}, {"ref": "dragonslayer01/house-prices-test-1", "kernel_id": "2493356"}, {"ref": "duverj/tutorial-linear-regression", "kernel_id": "2413876"}, {"ref": "gopalkalpnde/house-price-1", "kernel_id": "2759923"}, {"ref": "hozler/outlier-detection-and-removal", "kernel_id": "2290428"}, {"ref": "helmihidzir/fast-ai-v0-7-for-my-first-competition", "kernel_id": "2668418"}, {"ref": "fallsit/ml-2-2-categorical-data-with-one-hot-encoding", "kernel_id": "2575573"}, {"ref": "fallsit/ml-2-1-handling-missing-values", "kernel_id": "2575124"}, {"ref": "fallsit/ml-2-3-xgboost", "kernel_id": "2620953"}, {"ref": "fallsit/welcome-to-data-science-in-r-workbook", "kernel_id": "2675154"}, {"ref": "mahirmhd/house-price-prediction", "kernel_id": "2779606"}, {"ref": "tsykhmystro/welcome-to-data-science-in-r-workbook", "kernel_id": "2996501"}, {"ref": "black277/submitting-from-a-kernel", "kernel_id": "2485963"}, {"ref": "aktaruzzaman/house-prices-prediction-aman", "kernel_id": "2046630"}, {"ref": "godofprogramming/data-science-predicting-housing-prices", "kernel_id": "2826390"}, {"ref": "samuelhei/rf-automatic-feature-engineering", "kernel_id": "2373642"}, {"ref": "maheshas88/predict-house-prices-using-randomforest-regressor", "kernel_id": "2304354"}, {"ref": "kenhunt1010/basic-random-forest-including-data-prep", "kernel_id": "2811420"}, {"ref": "kenhunt1010/basic-lasso-including-data-prep", "kernel_id": "2815177"}, {"ref": "jhancock1975/welcome-to-data-science-in-r-workbook", "kernel_id": "2446001"}, {"ref": "shwetarc/houseprice-predictions", "kernel_id": "2765630"}, {"ref": "jeetranjeet619/regularized-regression-model-in-r", "kernel_id": "2309814"}, {"ref": "ajitesh0202/eda-modelling-using-xgboost", "kernel_id": "2355840"}, {"ref": "jaychitransh007/using-categorical-data-with-one-hot-encodin-839d03", "kernel_id": "2055128"}, {"ref": "jaychitransh007/xgboost", "kernel_id": "2088031"}, {"ref": "xsakix/xg-grid-param-tuning-graphs", "kernel_id": "2007901"}, {"ref": "xsakix/mlp-regressor", "kernel_id": "2083712"}, {"ref": "xsakix/stacked-adjust-skewed", "kernel_id": "2137040"}, {"ref": "xsakix/comparission-of-regressors", "kernel_id": "2119173"}, {"ref": "xsakix/simple-xg-with-learning", "kernel_id": "2111004"}, {"ref": "xsakix/keras-crossvalidation-via-kfold", "kernel_id": "2098653"}, {"ref": "xsakix/simple-xg", "kernel_id": "2102186"}, {"ref": "xsakix/bagging-gradient-boost", "kernel_id": "2150649"}, {"ref": "xsakix/one-hot-encoding-and-torch", "kernel_id": "2552549"}, {"ref": "xsakix/one-hot-encoding-and-keras-v2", "kernel_id": "2550574"}, {"ref": "xsakix/one-hot-encoding-and-torch-v2", "kernel_id": "2558595"}, {"ref": "ldw2004/house-prices-prediction-lb-0-11286-top-2", "kernel_id": "2305392"}, {"ref": "econdata/ensemble-learning-on-housing-prices-datasets", "kernel_id": "2674187"}, {"ref": "hazemelhaouari/sample-model-using-xgboost-for-house-prediction", "kernel_id": "2023757"}, {"ref": "hakeydotcom/top-6-by-mixing-lasso-boosting-and-fe", "kernel_id": "2035319"}, {"ref": "jakishi/mll-house-price-correlation-over-0-3-drop-1st", "kernel_id": "2002401"}, {"ref": "jakishi/house-price-visualizing-numeric-and-categorical", "kernel_id": "2198267"}, {"ref": "jakishi/house-price-grid-searching-random-forest-regress", "kernel_id": "2680368"}, {"ref": "mlpotter/ensemble-methods", "kernel_id": "2901946"}, {"ref": "alhassanabdelglil/house-prices-competition", "kernel_id": "2543528"}, {"ref": "kaunajbanerjee/handling-missing-values", "kernel_id": "2989648"}, {"ref": "johnjohnjohn/nov-15-workshop-materials", "kernel_id": "2113355"}, {"ref": "rongzhang2017/house-price-prediction-ml", "kernel_id": "2715889"}, {"ref": "sonujha090/house-price-prediction", "kernel_id": "2026565"}, {"ref": "lieblos/baseline-xgb", "kernel_id": "2138232"}, {"ref": "thawatchai2018/house-price-calculation-practice", "kernel_id": "2013470"}, {"ref": "thawatchai2018/house-price-predictions-learn-practice", "kernel_id": "2015765"}, {"ref": "rafibarash/ml-starter-template", "kernel_id": "2555165"}, {"ref": "felipefiorini/house-prices-basic-linear-regression", "kernel_id": "2843697"}, {"ref": "felipefiorini/house-prices-gbm-rf-xgboost", "kernel_id": "2855274"}, {"ref": "jander081/wrappers-pipelines-and-stacking", "kernel_id": "2678486"}, {"ref": "ladduci/house-prices", "kernel_id": "2944356"}, {"ref": "sam19051993/handling-nan-in-house-price-prediction-problem", "kernel_id": "2043323"}, {"ref": "haythemhsine/house-prices-by-haythem-hsine", "kernel_id": "2122471"}, {"ref": "abhishekmhatre/rookie-data-analysis-preprocessing-on-data", "kernel_id": "2856035"}, {"ref": "chocozzz/beginner-challenge-house-prices", "kernel_id": "2096231"}, {"ref": "kirahman2/my-first-model-fork-onehot-impute", "kernel_id": "2416612"}, {"ref": "jackwu1996/fork-of-house-price-xgboost", "kernel_id": "2465630"}, {"ref": "jackyourdata/the-data-scientist-s-toolbox-tutorial-1", "kernel_id": "2689101"}, {"ref": "rajshree07/gradient-boosting-ml-algorithm", "kernel_id": "2776762"}, {"ref": "anunnikrishnan/xgboost-with-revised-params", "kernel_id": "2379913"}, {"ref": "arindamkumar/noob-kernel-for-housing-price-prediction", "kernel_id": "2403085"}, {"ref": "mariannebenkamoun/predicting-housing-prices-using-lasso-regression", "kernel_id": "2496341"}, {"ref": "bturan19/a-basic-ann-implementation-with-lgbm-output", "kernel_id": "2197728"}, {"ref": "adrian1acoran/1-1-pi-3-14159265358979324-codigo-e91bb9", "kernel_id": "2020663"}, {"ref": "groznykon/predicting-house-prices-with-a-neural-network", "kernel_id": "2725728"}, {"ref": "paraspatidar/easy-explanation-for-housing-price-prediction", "kernel_id": "2859966"}, {"ref": "pritaman/predict-house-prices-with-ann", "kernel_id": "2428438"}, {"ref": "joshuaaaron/housing-prices-regression-with-xgboost", "kernel_id": "2382952"}, {"ref": "mohamedssafini/reg-model", "kernel_id": "2388812"}, {"ref": "fulowa/houseprices-fastai", "kernel_id": "2903143"}, {"ref": "joelrrudinas03/welcome-to-data-science-in-r-workbook-b6b5cb", "kernel_id": "2282036"}, {"ref": "fecampa/house-price-challenge-fernanda-in-progress", "kernel_id": "2684668"}, {"ref": "ymamat/kernelf5a1023986", "kernel_id": "2514172"}, {"ref": "piyras23/an-approach-with-statistical-learning-regress", "kernel_id": "2263077"}, {"ref": "dpotter/house-prices-lasso-xgboost-and-a-detailed-eda", "kernel_id": "2377845"}, {"ref": "lemon18/kernel495129465a", "kernel_id": "2133913"}, {"ref": "lemon18/tianchi-aliyidongtuijian", "kernel_id": "2185081"}, {"ref": "chuckivan/iowa-housing-price-prediction", "kernel_id": "2012096"}, {"ref": "jmohitj/house-prices-simple-lightgbm", "kernel_id": "2412985"}, {"ref": "chetanzope/house-rent-stacking-approach", "kernel_id": "2594420"}, {"ref": "shivatharun/house-price-prediction-using-advanced-regression", "kernel_id": "2110015"}, {"ref": "eraaz1/a-comprehensive-guide-to-advanced-regression", "kernel_id": "2227258"}, {"ref": "docsavage/house-prices-from-a-consultant-s-perspective-svm", "kernel_id": "2629516"}, {"ref": "rajmehra03/housing-prices-eda-regression-analysis", "kernel_id": "2403715"}, {"ref": "roydatascience/house-prices-data-visualization-using-tsne-pca", "kernel_id": "2220621"}, {"ref": "renanneves/exc-missing-data-e-usando-feat-num-ricas", "kernel_id": "2654389"}, {"ref": "mariust/housing-prices-competition-by-mt", "kernel_id": "2038933"}, {"ref": "lpdataninja/data-science-glossary-18-pca", "kernel_id": "2607182"}, {"ref": "lpdataninja/data-science-glossary-17-missing-values", "kernel_id": "2607118"}, {"ref": "praburocking/getting-started-housing-price-prediction", "kernel_id": "2418255"}, {"ref": "shcherbakoff/spark-real-estate-pricing-estimation-research", "kernel_id": "2653688"}, {"ref": "wentianm/house-price-eda", "kernel_id": "2597751"}, {"ref": "math101/kernela4e56d1f37", "kernel_id": "2562779"}, {"ref": "ashishlak/xgboost", "kernel_id": "2326971"}, {"ref": "nephalem98/a-beginner-approach-to-advanced-regression-models", "kernel_id": "2559264"}, {"ref": "ds18b20/house-prices-data-exploration", "kernel_id": "2000944"}, {"ref": "roaldb/house-prices", "kernel_id": "2232392"}, {"ref": "ahmetkayaus/data-exploration-with-python", "kernel_id": "2221162"}, {"ref": "kalyankkr/sale-price-prediction", "kernel_id": "2527479"}, {"ref": "anupjana/top-10-ames-house-pricing-stacked-regression", "kernel_id": "2431818"}, {"ref": "wouterlefever/handling-missing-values", "kernel_id": "2108787"}, {"ref": "wouterlefever/submitting-from-a-kernel", "kernel_id": "2043261"}, {"ref": "abhinav007/submitting-from-a-kernel-422d85", "kernel_id": "2445611"}, {"ref": "ken8aisa/house-price", "kernel_id": "2167629"}, {"ref": "parthplc/tableau-visualisation-and-xgboost-predict", "kernel_id": "2650231"}, {"ref": "frabbisw/kernel584eb76eb0", "kernel_id": "2764865"}, {"ref": "parakhsrivastava/housing-prediction-prices-beginner", "kernel_id": "2525912"}, {"ref": "ormagor1/my-first-karnel", "kernel_id": "2092627"}, {"ref": "kseven/house-prices-advanced-regression-techniques", "kernel_id": "2021833"}, {"ref": "jatinmittal0001/housing-price-prediction-ensemble", "kernel_id": "2577413"}, {"ref": "adcastillogill/regression-trees-predicting-property-prices", "kernel_id": "2243861"}, {"ref": "ankitbasu/regularized-linear-models-5c7d28", "kernel_id": "2590832"}, {"ref": "joaomegale/house-pricing-joao-megale", "kernel_id": "2025182"}, {"ref": "ahmadjaved097/house-prices-eda-and-predictions", "kernel_id": "2774699"}, {"ref": "dhiru29/kernelecb76f2083", "kernel_id": "2521963"}, {"ref": "neerajdewangan/welcome-to-data-science-in-r-workbook-6c6ccf", "kernel_id": "2116467"}, {"ref": "subham121singh/predicting-house-prices-advanced-regression", "kernel_id": "2738679"}, {"ref": "corycaaz/newbie-analysis-rationale-for-eda-xgboost", "kernel_id": "2190909"}, {"ref": "jwong4494/beginner-linear-regression-technique", "kernel_id": "2513132"}, {"ref": "guwei4250/simple-example-of-using-lasso-to-predict-price", "kernel_id": "2067091"}, {"ref": "spscientist/a-simple-tutorial-on-exploratory-data-analysis", "kernel_id": "2052091"}, {"ref": "keitam/top-15-of-leaderboard-simple-lasso-regression", "kernel_id": "2251537"}, {"ref": "louis030195/french-school-test-stacked-regression", "kernel_id": "2107664"}, {"ref": "anilml/predicting-houseprice-using-randomforestregressor", "kernel_id": "2725981"}, {"ref": "ulissesph/my-first-kernel", "kernel_id": "2445687"}, {"ref": "rihadv/submitting-from-a-kernel", "kernel_id": "2141349"}, {"ref": "rihadv/handling-missing-values", "kernel_id": "2150585"}, {"ref": "rihadv/using-categorical-data-with-one-hot-encoding", "kernel_id": "2150945"}, {"ref": "rihadv/xgboost", "kernel_id": "2151092"}, {"ref": "dangizzi/explore-data-predict-saleprice-with-rf", "kernel_id": "2016215"}, {"ref": "miguelrodriguezolmos/predict-house-prices-with-ridge-regression", "kernel_id": "2722921"}, {"ref": "shivareddyk/lrr-2-12-nov18", "kernel_id": "2083400"}, {"ref": "shivareddyk/lrr-1-12nov18", "kernel_id": "2083020"}, {"ref": "shivareddyk/dropcolsg30centnanvalues", "kernel_id": "2088952"}, {"ref": "shivareddyk/eda1-13nov2018", "kernel_id": "2090154"}, {"ref": "grayphantom/bayesian-optimization-of-xgboost", "kernel_id": "2495527"}, {"ref": "d94mandal/house-price-prediction-gradient-boosting-regressor", "kernel_id": "2067734"}, {"ref": "romankondratiev/handling-missing-values", "kernel_id": "2152878"}, {"ref": "sherylee/comprehensive-data-exploration-with-python", "kernel_id": "2556702"}, {"ref": "charleslmen/house-price-prediction", "kernel_id": "2653258"}, {"ref": "amralaaalex/submitting-from-a-kernel", "kernel_id": "2360944"}, {"ref": "lavasesha/fork-of-with-gradient-boosting", "kernel_id": "2050220"}, {"ref": "geochatz/housing-sales-predictions-regression-models", "kernel_id": "2243098"}, {"ref": "phuhung273/housing-price-beginner", "kernel_id": "2684723"}, {"ref": "nikitabalabin/kernel30db671a9a", "kernel_id": "2738552"}, {"ref": "someshkb10/house-prices-regression-model", "kernel_id": "2724005"}, {"ref": "weiichen/house-prices-prediction-with-python", "kernel_id": "2085569"}, {"ref": "shashanksagarjha/house-price-advanced-xgboost", "kernel_id": "2022591"}, {"ref": "bdross97/housing-prices-preliminary-eda", "kernel_id": "2806382"}, {"ref": "potadolovegun/fork-of-house-prices-analysis", "kernel_id": "2571204"}, {"ref": "rdpharr/house-prices-target-encoding-via-cross-val", "kernel_id": "2553080"}, {"ref": "skp1996/eda-with-xgboost-enet-mlp-stackedregression", "kernel_id": "2106410"}, {"ref": "dreamfunction/top-28-with-lots-of-visualizations", "kernel_id": "2382463"}, {"ref": "avivlevi815/my-submission-with-linear-regression-0-15", "kernel_id": "2558702"}, {"ref": "nourd1ine/stacked-regressions-top-4-on-leaderboard", "kernel_id": "2079334"}, {"ref": "ashishkhuraishy/house-price-advanced-regression", "kernel_id": "2045903"}, {"ref": "nitron/handling-missing-values", "kernel_id": "2435594"}, {"ref": "nitron/housing-prices", "kernel_id": "2466559"}, {"ref": "sfmustaf/saif-mustaf-houseprices-randomforrestregressor", "kernel_id": "2264603"}, {"ref": "fuclid/submitting-from-a-kernel", "kernel_id": "2925353"}, {"ref": "galacticbrewery/data-exploration-using-widgets", "kernel_id": "2275121"}, {"ref": "srolka/house-prices-using-linear-regression", "kernel_id": "2314657"}, {"ref": "undergroundpenguins/undergroundpenguins-workspace", "kernel_id": "2215856"}, {"ref": "natasobl/assignment", "kernel_id": "2344036"}, {"ref": "johnnykimono/xgbregressor", "kernel_id": "2207447"}, {"ref": "nolanhoney/nolan-honey-comp-3122-assignment-3", "kernel_id": "2276788"}, {"ref": "erikakathleen/101085825", "kernel_id": "2275658"}, {"ref": "yoyotigo/houseprices-2", "kernel_id": "2310067"}, {"ref": "naimishr15/home-assignment3", "kernel_id": "2330077"}, {"ref": "dindyalm/house-competition", "kernel_id": "2343526"}, {"ref": "dindyalm/house-comp", "kernel_id": "2354130"}, {"ref": "baithebest/house-sold-price-prediction-xgboost", "kernel_id": "2025237"}, {"ref": "baithebest/basic-model-xgboost-randomforest", "kernel_id": "2032685"}, {"ref": "amrmahmoud123/cleaning-data-episode-1", "kernel_id": "2985870"}, {"ref": "ms1720/house-price-data-set", "kernel_id": "2553003"}, {"ref": "billycrawford/house-prices-learning", "kernel_id": "2043623"}, {"ref": "prashantbhargava23/welcome-to-data-science-in-r-workbook-fe735f", "kernel_id": "2262327"}, {"ref": "aiden98/house-prices-error-0-11433", "kernel_id": "2958613"}, {"ref": "oaref92/house-price-prediction", "kernel_id": "2189689"}, {"ref": "rislam173/house-prices-4-feature-scaling", "kernel_id": "2308424"}, {"ref": "rislam173/house-price-challenge-rehan", "kernel_id": "2271326"}, {"ref": "stevenzhongming/my-first-kernel", "kernel_id": "2580408"}, {"ref": "ksdangwal/house-prediction-using-random-forest-algorithm", "kernel_id": "2188724"}, {"ref": "nikkisharma536/house-price-prediction", "kernel_id": "2176366"}, {"ref": "nikkisharma536/house-price-prediction-label-encoding", "kernel_id": "2200525"}, {"ref": "nikkisharma536/house-prediction-dealing-with-missing-values", "kernel_id": "2229504"}, {"ref": "nikkisharma536/house-prediction-dealing-with-outlier", "kernel_id": "2249781"}, {"ref": "xdms85/nn-in-advanced-house-prices", "kernel_id": "2949092"}, {"ref": "xdms85/eda-on-adv-house-price-prediction-part-2", "kernel_id": "2974606"}, {"ref": "xdms85/eda-on-adv-house-price-prediction-part-1", "kernel_id": "2900542"}, {"ref": "ashirwadsangwan/house-prices-prediction-ensemble-technique", "kernel_id": "2162535"}, {"ref": "ashirwadsangwan/visualization-for-relevant-features", "kernel_id": "2056462"}, {"ref": "frtgnn/ml-101-beginner-s-stop-xgb-lgbm-blend", "kernel_id": "2029003"}, {"ref": "akihirokkkkk/house-prize", "kernel_id": "2931769"}, {"ref": "tooezy/house-price-prediction-eda-xgboost", "kernel_id": "2823825"}, {"ref": "tushar8049/complete-house-price-prediction", "kernel_id": "2247218"}, {"ref": "juanlebk/xgboost", "kernel_id": "2082810"}, {"ref": "juanlebk/handling-missing-values", "kernel_id": "2073492"}, {"ref": "anisio/iesb-python-e-pandas-aula-07", "kernel_id": "2274348"}, {"ref": "jeffdouglas/iesb-python-e-pandas-aula-07", "kernel_id": "2924844"}, {"ref": "roberthkaggle/using-categorical-data-with-one-hot-encoding", "kernel_id": "2002817"}, {"ref": "roberthkaggle/using-categorical-data-with-one-hot-encodin-595a87", "kernel_id": "2003218"}, {"ref": "tekashi69/simple-linear-neural-net-boston-house", "kernel_id": "2915144"}, {"ref": "avign00/predicting-home-prices-using-randomforest", "kernel_id": "2153831"}, {"ref": "kwakjunewon/house-price-practice-2-staked-regression", "kernel_id": "2130821"}, {"ref": "deepakrajak582/house-prices-predictions", "kernel_id": "2532816"}, {"ref": "alok162/kernelb79af98bbc", "kernel_id": "2466975"}, {"ref": "simransinha5514/house-price-prediction-2", "kernel_id": "2969651"}, {"ref": "abhideshmukh1/abhi-s-house-price-pred", "kernel_id": "2830706"}, {"ref": "kasikrit/submitting-from-a-kernel", "kernel_id": "2171652"}, {"ref": "evaart/easy-machine-learning-model", "kernel_id": "2260520"}, {"ref": "fredkron/ml-on-house-prices", "kernel_id": "2609205"}, {"ref": "jianfengzhang95/home-prices-ml-algorithms", "kernel_id": "2267202"}, {"ref": "nextbigwhat/eda-for-categorical-variables-a-beginner-s-way", "kernel_id": "2019373"}, {"ref": "nextbigwhat/eda-for-categorical-variables-part-2", "kernel_id": "2229644"}, {"ref": "nishitjain/predicting-house-prices-using-gradient-boosting", "kernel_id": "2902446"}, {"ref": "mnds18/houseprices-mrig-v3-forked", "kernel_id": "2354438"}, {"ref": "mnds18/house-prices-advanced-regression-techniques-mrig", "kernel_id": "2353728"}, {"ref": "mnds18/house-prices-advanced-regression-mrig-v2", "kernel_id": "2354264"}, {"ref": "mnds18/house-prices-advanced-regression-with-pca", "kernel_id": "2905033"}, {"ref": "llimenjivar/my-first-kernel", "kernel_id": "2529453"}, {"ref": "ohlloyd/xgboost-practice-sale-price-mae-17358", "kernel_id": "2595666"}, {"ref": "magnusmcm/houseprices-0-124", "kernel_id": "2084685"}, {"ref": "hmimed/machine-leaning-level-2-courses", "kernel_id": "2077043"}, {"ref": "saulibarra/welcome-to-data-science-in-r-workbook", "kernel_id": "2753573"}, {"ref": "huashao/fork-of-kernel30100b4b7b", "kernel_id": "2101797"}, {"ref": "rushobd/get-your-model-ready-to-submit-a3ea50", "kernel_id": "2203847"}, {"ref": "fherborn/regression-with-keras-and-pca", "kernel_id": "2693502"}, {"ref": "coichedid/house-prices-analysis-and-predictions", "kernel_id": "2165125"}, {"ref": "entrpn/house-prices-with-one-hot-encoding", "kernel_id": "2679418"}, {"ref": "rdjstamford/comprehensive-data-exploration-with-python", "kernel_id": "2118098"}, {"ref": "pant0000/devesh-house-price-model", "kernel_id": "2575912"}, {"ref": "davidefacchinelli/house-prices-advanced-regression-techniques", "kernel_id": "2915177"}, {"ref": "naveenkannan/housing-prices-prediction", "kernel_id": "2554461"}, {"ref": "shushanxingzhe/comprehensive-data-exploration-with-python", "kernel_id": "2315523"}, {"ref": "abrarzshahriar/kernel2cf0ffdd2f", "kernel_id": "2926106"}, {"ref": "vsingh97/housepricesusingadvancedtechniques", "kernel_id": "2548734"}, {"ref": "cdaagonzalodelacruzf/projecto-kaggle-gonzalo-de-la-cruz-fern-ndez", "kernel_id": "2255777"}, {"ref": "aman9d/starting-with-data-exploration", "kernel_id": "2364692"}, {"ref": "aman9d/different-models-for-house-prediction", "kernel_id": "2485641"}, {"ref": "aman9d/basic-python-for-ml", "kernel_id": "2445073"}, {"ref": "vaghulb1992/house-price-prediction-walkthrough", "kernel_id": "2889372"}, {"ref": "bpatrick/houseprice-regression", "kernel_id": "2223308"}, {"ref": "albeskrovna/predicting-home-prices", "kernel_id": "2255666"}, {"ref": "wklin8/housing-price-prediction-with-xgboost", "kernel_id": "2441367"}, {"ref": "sheetalsawant/welcome-to-data-science-in-r-workbook", "kernel_id": "2622232"}, {"ref": "marcelokayata/house-price", "kernel_id": "2368060"}, {"ref": "dakyunglee/python-assignment3", "kernel_id": "2275656"}, {"ref": "cjchun/house-prices-don-t-caring-about-input-features", "kernel_id": "2679703"}, {"ref": "peterbartolomeo/house-prices-advanced-regression-techniques", "kernel_id": "2277841"}, {"ref": "patertrap/comparison-of-regression-models", "kernel_id": "2879013"}, {"ref": "saicharanpanthangi94/home-prices-advanced-regression-techniques", "kernel_id": "2621156"}, {"ref": "vpanom/kernel87719f0463", "kernel_id": "2792396"}, {"ref": "shishir2sr/welcome-to-data-science-in-r-workbook", "kernel_id": "2301736"}, {"ref": "tmr207/titanic-with-rf-dt-xgboost-lgbm", "kernel_id": "2680040"}, {"ref": "igorkmori/assignment-3", "kernel_id": "2343694"}, {"ref": "sangkyu2/house-prices-advanced-regression-techniques", "kernel_id": "2495407"}, {"ref": "einbosesgenie/laba-3", "kernel_id": "2339512"}, {"ref": "pk05081992/lab-3", "kernel_id": "2339904"}, {"ref": "pk05081992/lab3-rudn", "kernel_id": "2509272"}, {"ref": "pk05081992/kernel850943dc6d", "kernel_id": "2499876"}, {"ref": "ann0607/house-prices-prediction-with-machine-learning", "kernel_id": "2451115"}, {"ref": "maxlenormand/model-using-most-data", "kernel_id": "2506046"}, {"ref": "maxlenormand/mae-influence-of-adjusting-saleprice-for-inflation", "kernel_id": "2659527"}, {"ref": "vadimvlasov/handling-missing-values", "kernel_id": "2490807"}, {"ref": "nikhilulahannan/nu-csv-output-check", "kernel_id": "2788388"}, {"ref": "lukaszbrygala/house-prices", "kernel_id": "2993300"}, {"ref": "seuprimrose/image-recognizer", "kernel_id": "2539517"}, {"ref": "bav1904/lab-3", "kernel_id": "2405705"}, {"ref": "jennkuo25/exploring-linear-regression-models", "kernel_id": "2588590"}, {"ref": "ishankrishna/house-price-predict-2", "kernel_id": "2703371"}, {"ref": "ankur1401/housing-prices", "kernel_id": "2791605"}, {"ref": "tinku216/housepriceprediction", "kernel_id": "2901354"}, {"ref": "mamkuzhy74/my-first-kernal-lending-codes-from-others", "kernel_id": "2878717"}, {"ref": "d25091c/data-science-and-machine-learning-cheatsheets", "kernel_id": "2563051"}, {"ref": "ankursxn/houseprice-prediction-a-step-by-step-approach", "kernel_id": "2570985"}, {"ref": "lyhwilliam/my-first-kernel-machine-learning-score-1-3", "kernel_id": "2856518"}, {"ref": "karan95v/predicting-house-price", "kernel_id": "2534917"}, {"ref": "hamidbadriiam/comprehensive-data-exploration-with-python", "kernel_id": "2682969"}, {"ref": "moassem89/house-prices-dt-vs-gb-vs-xgboost", "kernel_id": "2892859"}, {"ref": "moassem89/house-prices-pipelines-and-cross-validation", "kernel_id": "2893815"}, {"ref": "moassem89/house-prices-exploring-the-data", "kernel_id": "2803483"}, {"ref": "innojia/a-basic-ann-implementation-with-lgbm-output", "kernel_id": "2550736"}, {"ref": "eamorim/house-prices-with-xgboost", "kernel_id": "2923053"}, {"ref": "deathinsured2/welcome-to-data-science-in-r-workbook", "kernel_id": "2582895"}, {"ref": "wachirawitjoei/kaggle-housing", "kernel_id": "2618965"}, {"ref": "joppevos/trees-and-feature-importance-for-beginners", "kernel_id": "2891730"}, {"ref": "subhamsharma96/house-prices-gradientboosting-gridsearchcv", "kernel_id": "2989436"}, {"ref": "sagarprasad/house-price-prediction", "kernel_id": "2834244"}, {"ref": "mailyousufkhan/housing-prices-datasets", "kernel_id": "2681914"}, {"ref": "wachichornia/kerneld7b9695010", "kernel_id": "2792603"}, {"ref": "leejsheng/simple-linear-regression-implementation-wip", "kernel_id": "2991782"}, {"ref": "davidkorty/housingprices-11641", "kernel_id": "2862322"}, {"ref": "bestfit/first-machine-learning-model-for-house-price", "kernel_id": "2783725"}, {"ref": "louisp27/comp2", "kernel_id": "2828435"}, {"ref": "vicsanz/exploring-saleprice-tidyverse-and-tidymodels", "kernel_id": "2851703"}, {"ref": "ruhong/house-prices-advanced-regression-techniques-rf", "kernel_id": "3766228"}, {"ref": "ruhong/house-prices-advanced-regression-techniques-lasso", "kernel_id": "3798444"}, {"ref": "ruhong/house-prices-advanced-regression-techniques-gbm", "kernel_id": "3804811"}, {"ref": "ruhong/house-prices-advanced-regression-techniques-blend", "kernel_id": "3805060"}, {"ref": "ruhong/house-prices-advanced-regression-techniques-gbmpca", "kernel_id": "3816564"}, {"ref": "darbin/kaggle-learn-ml-l2-1-missing-2-test", "kernel_id": "3164960"}, {"ref": "saurabhbagchi/descriptive-statistics-code", "kernel_id": "3865735"}, {"ref": "paragap/house-price-prediction-using-random-forest-regress", "kernel_id": "3708662"}, {"ref": "alosat/house-prices-xgboost", "kernel_id": "3840535"}, {"ref": "priteshshrivastava/house-prices-model-explainability-starter", "kernel_id": "3668939"}, {"ref": "jamesrowland/eda-and-lasso-forest-gbm-comparison-and-stacking", "kernel_id": "3970581"}, {"ref": "elkholy/develop-baseline-for-scoring", "kernel_id": "3489131"}, {"ref": "abonaplata/analisis-exploratorio-de-datos-con-python", "kernel_id": "3688938"}, {"ref": "drucev/iowa-house-prices-stack-blend", "kernel_id": "3901831"}, {"ref": "pretorias/new-approach-to-eda-and-feature-creation", "kernel_id": "3894615"}, {"ref": "mychen76/predict-house-prices-with-ml-regressor", "kernel_id": "3088254"}, {"ref": "paolagasp/eda-gradientboostingregression-house-prices", "kernel_id": "3851663"}, {"ref": "naresh31/ann-advanced-linear-regression-techniques", "kernel_id": "3363849"}, {"ref": "andresarrieche7/house-prices-advanced-regression-score-0-13493", "kernel_id": "3052615"}, {"ref": "zmey56/xgboost-lasso", "kernel_id": "3277671"}, {"ref": "zmey56/house-prices-solution-0-107-lb", "kernel_id": "3223026"}, {"ref": "jimmymvp/house-price-prediction", "kernel_id": "3466528"}, {"ref": "y120062/kernel1cb1bf470b", "kernel_id": "3838316"}, {"ref": "stephen37/introduction-to-machine-learning-with-sklearn", "kernel_id": "3150669"}, {"ref": "caojingw/house-price-vol2", "kernel_id": "3873969"}, {"ref": "caojingw/house-price-prediction", "kernel_id": "3792840"}, {"ref": "abisheksrivastav/housing-price-random-forest", "kernel_id": "3527479"}, {"ref": "binilg/data-cleaning-exploration-ensembling-prediction", "kernel_id": "3957472"}, {"ref": "habibmrad1983/selecting-and-filtering-in-pandas", "kernel_id": "3518665"}, {"ref": "habibmrad1983/handling-missing-values", "kernel_id": "3602866"}, {"ref": "dashaa/house-prices-in-r", "kernel_id": "3480135"}, {"ref": "minjipark/house-production-sobasic", "kernel_id": "3452593"}, {"ref": "karnakarthoorpu/data-analysis-for-price-prediction", "kernel_id": "3950480"}, {"ref": "bombatkarvivek/comprehensive-data-exploration-with-python", "kernel_id": "3446571"}, {"ref": "sandeepkumar121995/blending-of-6-models-top-10", "kernel_id": "3408388"}, {"ref": "gunjan17/checking-different-models-to-find-accuracy", "kernel_id": "3437204"}, {"ref": "fugacity/ridge-lasso-elasticnet-regressions-explained", "kernel_id": "3724482"}, {"ref": "aashita/regression-algorithms", "kernel_id": "3563684"}, {"ref": "ishivinal/machine-learning-model-evaluation-metrics", "kernel_id": "3572090"}, {"ref": "nagulapatianusha369/housing-price-prediction-lightgbm", "kernel_id": "3030474"}, {"ref": "ceci2017/02-houseprice", "kernel_id": "3562991"}, {"ref": "yohanb/explaining-xgb-model-with-lime", "kernel_id": "3595349"}, {"ref": "weikai/data-exploration-transformation-ridge-lasso", "kernel_id": "3969313"}, {"ref": "shtyd00/house-prices-advanced-regression-techniques", "kernel_id": "3863107"}, {"ref": "crocker456/advanced-housing-eda-modeling", "kernel_id": "3917130"}, {"ref": "workhfailflearna/linear-regression-on-house-prices", "kernel_id": "3134139"}, {"ref": "naokomada/predict-house-prices", "kernel_id": "3583171"}, {"ref": "bhatb27/ols-regression-with-principal-component-analysis", "kernel_id": "3157846"}, {"ref": "pandatheamanda/gradient-boosted-regressor", "kernel_id": "3148107"}, {"ref": "snnclsr/house-price-prediction-stacked-models", "kernel_id": "3860990"}, {"ref": "eshaan90/workshop-ensembling-demo", "kernel_id": "3415914"}, {"ref": "shreyasb/estimate-housing-prices", "kernel_id": "3197105"}, {"ref": "thirumani/house-prices-random-forest-regressor", "kernel_id": "3525684"}, {"ref": "thirumani/house-prices-linearregression", "kernel_id": "3515743"}, {"ref": "sarperkumcu/an-approach-with-linear-regression", "kernel_id": "3818295"}, {"ref": "samanthanyikadzino/house-price-prediction-using-xgboost", "kernel_id": "3057030"}, {"ref": "shaz13/revised-base-models-in-pytorch-notebook", "kernel_id": "3974927"}, {"ref": "bowaka/hyper-parameters-tuning-with-bayesian-methods", "kernel_id": "3120704"}, {"ref": "sridharnarasaiahgari/house-price-prediction-japan", "kernel_id": "3738330"}, {"ref": "burcins/predict-by-using-5-ml-models", "kernel_id": "3408875"}, {"ref": "jaehyeongan/house-prices-prediction-by-xgbregressor", "kernel_id": "3787382"}, {"ref": "sam28011997/house-price-code-1", "kernel_id": "3846356"}, {"ref": "diegoreico/regressing-like-a-boss", "kernel_id": "3162921"}, {"ref": "daftintrovert/regularized-linear-models", "kernel_id": "3298779"}, {"ref": "daftintrovert/comprehensive-data-exploration-with-python", "kernel_id": "3348371"}, {"ref": "ankitnagam/real-estate-in-ames-iowa", "kernel_id": "3645461"}, {"ref": "aditi2009/housing-price-prediction", "kernel_id": "3209143"}, {"ref": "dzifaquist/house-prices-advanced-regression-techniques", "kernel_id": "3468213"}, {"ref": "dejavu23/house-prices-plotly-pipelines-and-ensembles", "kernel_id": "3950860"}, {"ref": "adityakaggle11/how-not-to-do-linear-regression-top-74", "kernel_id": "3458513"}, {"ref": "shasija95/house-price-prediction", "kernel_id": "3285543"}, {"ref": "wakamezake/usecase-missingno", "kernel_id": "3995410"}, {"ref": "lxyuan0420/xgbr-houseprice", "kernel_id": "3648164"}, {"ref": "imdevskp/house-price-prediction-using-regression", "kernel_id": "3976211"}, {"ref": "polmol0703/house-price-regression-top-16", "kernel_id": "3752363"}, {"ref": "dirawu/house-prices-submission", "kernel_id": "3462221"}, {"ref": "srwilson7601/autoencoders-bayesian-optimization-and-xgboost", "kernel_id": "3210072"}, {"ref": "duverj/statistical-tests", "kernel_id": "3113179"}, {"ref": "rushikesh0203/a-complete-introduction-to-eda", "kernel_id": "3636304"}, {"ref": "pongsatorn/kernel570b6b83d0", "kernel_id": "3907609"}, {"ref": "gaurangswarge/ensemble-models", "kernel_id": "3705104"}, {"ref": "colecola/3-farkl-algoritma-ile-ev-fiyatlar-tahmini-emlak", "kernel_id": "3801204"}, {"ref": "eleni1982/interactive-map-of-average-prices", "kernel_id": "3468664"}, {"ref": "eleni1982/iowa-intercative-map-for-average-house-prices", "kernel_id": "3498580"}, {"ref": "tsykhmystro/house-prices", "kernel_id": "3211728"}, {"ref": "fbenamy/notsoadvancedregression", "kernel_id": "3579775"}, {"ref": "brianjaylei/welcome-to-data-science-in-r-workbook", "kernel_id": "3012828"}, {"ref": "jooskorstanje/kernel3794e6f168", "kernel_id": "3701219"}, {"ref": "tatusko/house-prediction-2", "kernel_id": "3513891"}, {"ref": "mrgodsay/predicting-iowa-house-prices", "kernel_id": "3305179"}, {"ref": "lgh7654/stacked-regressions-top-4-on-leaderboard", "kernel_id": "3789287"}, {"ref": "reese51/house-prices-with-ml-sci-kit-learn-textbook", "kernel_id": "3629333"}, {"ref": "kitakoj18/what-to-do-with-all-of-these-features", "kernel_id": "3169228"}, {"ref": "g3rtsch3/housing-prices-econ-213r", "kernel_id": "3157870"}, {"ref": "fatmakursun/house-price-some-of-regression-models", "kernel_id": "3140481"}, {"ref": "joshjanjua/housing-prices-comp", "kernel_id": "3234389"}, {"ref": "arpitjain007/first-competition", "kernel_id": "3494478"}, {"ref": "iavinas/house-pricing-simple-solution-top-30", "kernel_id": "3678327"}, {"ref": "nikitagrec/house-prices-clustering", "kernel_id": "3088287"}, {"ref": "grossmend/house-prices-deep-learning-by-keras", "kernel_id": "3439316"}, {"ref": "gauravadhikari/playing-with-the-houses-dataset", "kernel_id": "3152367"}, {"ref": "ws10254/housepricing-tensorflow", "kernel_id": "3122882"}, {"ref": "ws10254/houseprices-bagging-xgboost-lasso-ridge", "kernel_id": "3636326"}, {"ref": "vpatricio/house-prediction", "kernel_id": "3164012"}, {"ref": "luisda2994/house-price-prediction", "kernel_id": "3899771"}, {"ref": "shineloveyc/comprehensive-data-exploration-with-python", "kernel_id": "3225740"}, {"ref": "loovmj/predict-the-price-of-house", "kernel_id": "3335356"}, {"ref": "luancaius/house-prices-v1", "kernel_id": "3097271"}, {"ref": "ngpgopi/regression-on-housing-dataset-applied-ai", "kernel_id": "3696550"}, {"ref": "jhwlee/boosted-trees-and-multiple-imuptation", "kernel_id": "3646700"}, {"ref": "lavanyashukla01/getting-started-with-kaggle-explore-the-dataset", "kernel_id": "3664586"}, {"ref": "alexur/house-prices-with-r-via-glm-and-model-trees", "kernel_id": "3866845"}, {"ref": "manushettyai/housing-price-prediction-model-using-sklearn", "kernel_id": "3777160"}, {"ref": "moazmagdy/sales-price-prediction", "kernel_id": "3895898"}, {"ref": "takamori/kernel5f25638b8c", "kernel_id": "3906934"}, {"ref": "kirahman2/houseprices-fork3", "kernel_id": "3537228"}, {"ref": "sadmansobhan/simple-linear-regression", "kernel_id": "3453838"}, {"ref": "torresdavr/housing-dataset-analysis", "kernel_id": "3236667"}, {"ref": "sanwal092/simple-regression-feature-engineering-top-66", "kernel_id": "3793579"}, {"ref": "skrangan/house-price-prediction", "kernel_id": "3545190"}, {"ref": "wsm1992/house-price-with-tensorflow", "kernel_id": "3556099"}, {"ref": "sankalp99/housing-price-prediction", "kernel_id": "3493832"}, {"ref": "katyapysova/handling-missing-values-70b0cf", "kernel_id": "3336759"}, {"ref": "mvyurchenko/eda-simple-feature-engineering-top-5-features", "kernel_id": "3814375"}, {"ref": "mahmoud86/tutorial-subset-selection-methods", "kernel_id": "3623002"}, {"ref": "nlearn/houseprice", "kernel_id": "3324596"}, {"ref": "joshuasea/titanic", "kernel_id": "3296006"}, {"ref": "jongwonwoo/hello-house-prices", "kernel_id": "3848833"}, {"ref": "iepsenn/ml-in-a-functional-way", "kernel_id": "3713789"}, {"ref": "tangerine1202/house-prices-kernel", "kernel_id": "3478015"}, {"ref": "shebogholo/advanced-regression", "kernel_id": "3972904"}, {"ref": "cmajorsolo/housepicepredictionwithmultivariatelinearregress", "kernel_id": "3881692"}, {"ref": "acasti55/houses-regressor-full-data", "kernel_id": "3188496"}, {"ref": "kpacocha/top-20-house-prices-regression-techniques", "kernel_id": "3295693"}, {"ref": "subodanirodrigo/random-forest-for-house-price-prediction", "kernel_id": "3381357"}, {"ref": "sureshsuri/kernel282626e0ef", "kernel_id": "3890224"}, {"ref": "devinni/taking-a-shot-at-feature-selection", "kernel_id": "3798226"}, {"ref": "krismcglinchey/linear-regression-attempt1", "kernel_id": "3349353"}, {"ref": "indiewizard/kernelab997dfeef", "kernel_id": "3956151"}, {"ref": "mastmustu/stacked-regression-housing-price-predictions", "kernel_id": "3164983"}, {"ref": "karanjakhar/start-here", "kernel_id": "3145574"}, {"ref": "anil777/how-to-deal-with-categorical-features", "kernel_id": "3792983"}, {"ref": "anil777/stacked-regressions-practice", "kernel_id": "3779746"}, {"ref": "anil777/ds-workflow-for-hp-10-ml-algorithms-12-plot", "kernel_id": "3778331"}, {"ref": "anil777/house-prices-regression-using-catboost-09c44d", "kernel_id": "3778009"}, {"ref": "namakaho/eda-aims", "kernel_id": "3611564"}, {"ref": "mohabdiab/house-prices", "kernel_id": "3812035"}, {"ref": "vik1511/feature-engineering-and-prediction-using-regressor", "kernel_id": "3288795"}, {"ref": "ssismasterchief/house-prices-advanced-regression-xgboost", "kernel_id": "3192012"}, {"ref": "somenpattanaik94/house-price-advanced-regression-techniques", "kernel_id": "3888525"}, {"ref": "hassanamin/house-price-prediction", "kernel_id": "3728371"}, {"ref": "soumensarker/using-categorical-data-with-one-hot-encoding", "kernel_id": "3322615"}, {"ref": "soumensarker/handling-missing-values", "kernel_id": "3322375"}, {"ref": "soumensarker/xgboost", "kernel_id": "3322877"}, {"ref": "varunbeheralego/housepriceprediction", "kernel_id": "3715709"}, {"ref": "egillman/careful-linear-regression-for-beginners-1", "kernel_id": "3731951"}, {"ref": "davnnis2003/housing-prices-prediction", "kernel_id": "3772407"}, {"ref": "luluilmaknun/house-pricing-visual-predict-w-gradient-boosting", "kernel_id": "3305354"}, {"ref": "anidata/kernel4f072eb797", "kernel_id": "3723757"}, {"ref": "charan506/kernel9d2af062eb", "kernel_id": "3008686"}, {"ref": "rauni98/houseprice-rauni", "kernel_id": "3383263"}, {"ref": "paragraph/rmlse-0-119-17-house-prices-regression", "kernel_id": "3152716"}, {"ref": "ekapope/stacked-regressions-top-4-on-leaderboard", "kernel_id": "3241796"}, {"ref": "rubylime/predicting-iowa-house-prices", "kernel_id": "3227633"}, {"ref": "manufacturingai/fastai-featureimportance", "kernel_id": "3061850"}, {"ref": "inilinir/kernel688a2024fc", "kernel_id": "3874160"}, {"ref": "ekremh/house-prices-python-decision-tree", "kernel_id": "3845263"}, {"ref": "carlostomeh/predi-o-de-casas-iowa", "kernel_id": "3400028"}, {"ref": "titan23/advance-house-price-prediction", "kernel_id": "3965037"}, {"ref": "sasankav/xgboost-zscore", "kernel_id": "3513198"}, {"ref": "sasankav/xgb-adaboost-housing-prices", "kernel_id": "3969196"}, {"ref": "sabanasimbutt/an-easy-approach-to-regularized-linear-regression", "kernel_id": "3256505"}, {"ref": "aminejait/house-prices-prediction-top-8-in-the-leaderboard", "kernel_id": "3784325"}, {"ref": "osamah2018/house-price-prediction-osamah-2", "kernel_id": "3374105"}, {"ref": "imnitin02/house-price-prediction-simple-model-0-11544", "kernel_id": "3304085"}, {"ref": "lxn1021/housing-prices-regression", "kernel_id": "3147035"}, {"ref": "kushagra7744/house-price-prediction", "kernel_id": "3464996"}, {"ref": "wzmao339/simple-submission", "kernel_id": "3989795"}, {"ref": "talk2ranjanktr/predicting-house-price-advancedregressiontechnique", "kernel_id": "3005000"}, {"ref": "yusufsatilmis/house-prices-prediction-with-keras", "kernel_id": "3841845"}, {"ref": "muhammedsara/house-prices-feedback", "kernel_id": "3855334"}, {"ref": "omarsayed7/kernel3e9f36db97", "kernel_id": "3168495"}, {"ref": "fernandohf/analise-e-modelagem-portuguese", "kernel_id": "3719343"}, {"ref": "hurebecca/r-housing-price-regression", "kernel_id": "3924589"}, {"ref": "ankuraman1234/visualisation-in-sunburst-lattice", "kernel_id": "3294254"}, {"ref": "fran77/houses-prices-exploration-and-prediction", "kernel_id": "3007309"}, {"ref": "farzana1/ds-workflow-for-hp-10-ml-algorithms-12-plot", "kernel_id": "3959155"}, {"ref": "firstbloody/an-uncomplicated-model-top-2-or-top-1", "kernel_id": "3017377"}, {"ref": "savannahar/fastai-randomforest-magic", "kernel_id": "3081732"}, {"ref": "mayank1261998/house-regression1", "kernel_id": "3325886"}, {"ref": "emreturan/kernel392ea188ab", "kernel_id": "3865693"}, {"ref": "uguremir/my-first-eda-for-house-prices-competition", "kernel_id": "3064827"}, {"ref": "ozdenur/house-price-prediction-with-svr-supportvecreg", "kernel_id": "3858876"}, {"ref": "boluknursena/predicting-house-prices-with-machine-learning", "kernel_id": "3856826"}, {"ref": "maccharan/house-price-prediction", "kernel_id": "3838875"}, {"ref": "bogibee/regression-bogibee", "kernel_id": "3670903"}, {"ref": "moonisafairy/learn-to-clean-the-statics", "kernel_id": "3206001"}, {"ref": "rohanshetty678/housingpricessolution", "kernel_id": "3846313"}, {"ref": "nitinkumar21/house-price-prediction-advance-regression-lasso", "kernel_id": "3672693"}, {"ref": "niteshx2/top-50-beginners-stacking-lgb-xgb", "kernel_id": "3236108"}, {"ref": "prudhvi9999/exercise-machine-learning-competitions", "kernel_id": "3348250"}, {"ref": "tangyubin/hanxiaoyang-solution", "kernel_id": "3212520"}, {"ref": "aditya100/house-price-predictions", "kernel_id": "3465078"}, {"ref": "nassimfox/kernel6a2b556c6c", "kernel_id": "3326257"}, {"ref": "karthikswaroops/predicting-housing-prices-using-regression", "kernel_id": "3219607"}, {"ref": "sarthakbatra/housing-prices-tutorial", "kernel_id": "3817393"}, {"ref": "arty233/prices", "kernel_id": "3328670"}, {"ref": "nitron/house-pricing-fastai", "kernel_id": "3607731"}, {"ref": "sooperdooper/house-price-prediction", "kernel_id": "3075825"}, {"ref": "shaaya/end-of-term-in-iitu", "kernel_id": "3341986"}, {"ref": "poplar12/eda-xgboost", "kernel_id": "3860635"}, {"ref": "shravankp/data-exploration-and-prediction-on-ames-dataset", "kernel_id": "3110465"}, {"ref": "aiana94/house-prediction-using-random-forest-regressor", "kernel_id": "3503064"}, {"ref": "hanugupta97/housing-prices", "kernel_id": "3282948"}, {"ref": "nakranimahender/housing-regression-using-keras", "kernel_id": "3666436"}, {"ref": "mizrak/house-prices-advanced-regression-techniques", "kernel_id": "3814784"}, {"ref": "asif093/house-price-analysis-eda-ml-rf", "kernel_id": "3595879"}, {"ref": "iozturkler/house-prices-prediction-linearreg-ridge-and-rfr", "kernel_id": "3865326"}, {"ref": "amundov/plotly-visualization-and-model-comparison", "kernel_id": "3759992"}, {"ref": "gawarek/linear-and-logistic-regression", "kernel_id": "3219508"}, {"ref": "sachinrastogi/comprehensive-data-exploration-with-python", "kernel_id": "3190244"}, {"ref": "sachinrastogi/handling-missing-values", "kernel_id": "3190264"}, {"ref": "hangyuanbuaa/house-price-prediction", "kernel_id": "3564442"}, {"ref": "syrym95/test1", "kernel_id": "3405742"}, {"ref": "claudia9/house-price-prediction", "kernel_id": "3751950"}, {"ref": "kunrui/analysis-on-stack-blend-lrs-xgb-lgb", "kernel_id": "3106654"}, {"ref": "faezakamran/using-categorical-data-with-one-hot-encoding", "kernel_id": "3228446"}, {"ref": "faezakamran/xgboost", "kernel_id": "3228488"}, {"ref": "faezakamran/handling-missing-values", "kernel_id": "3204986"}, {"ref": "faezakamran/stacked-regressions-top-4-on-leaderboard", "kernel_id": "3205117"}, {"ref": "sohaibanwaar1203/comparision-of-classifiers-ensembling", "kernel_id": "3159336"}, {"ref": "jordanroldan/kernelb6f33b758b", "kernel_id": "3791890"}, {"ref": "malinivy/house-prices-eda-regression-techniques", "kernel_id": "3087519"}, {"ref": "anirudh21/housepricing", "kernel_id": "3910779"}, {"ref": "siltrim/house-prices-advanced-regression", "kernel_id": "3349322"}, {"ref": "alisherski/house-pricing", "kernel_id": "3349801"}, {"ref": "karthik4142/housing-prices-analysis-and-modelling", "kernel_id": "3282537"}, {"ref": "orcnhakan/house-prices", "kernel_id": "3771293"}, {"ref": "spidy20/house-prediction-regression-for-beginner", "kernel_id": "3689132"}, {"ref": "tsaustin/house-prices-competition", "kernel_id": "3161627"}, {"ref": "mehmetoz/kernel65fbb6f96f", "kernel_id": "3848568"}, {"ref": "nishan192/house-price-prediction", "kernel_id": "3575043"}, {"ref": "ronnierulz/house-price-prediction", "kernel_id": "3731823"}, {"ref": "rania92/house-price-prediction-using-ridge-and-lasso", "kernel_id": "3566837"}, {"ref": "rashmeee/house-price-lasso", "kernel_id": "3646407"}, {"ref": "parnam/kerneledba0036a7", "kernel_id": "3678402"}, {"ref": "parnam/kernel4800a6d011", "kernel_id": "3660769"}, {"ref": "shobhit18th/house-price-prediction", "kernel_id": "3103660"}, {"ref": "egonferri/score-of-0-11385-with-easy-to-understand-code", "kernel_id": "3134830"}, {"ref": "mcubeddu/house-hunters", "kernel_id": "3720777"}, {"ref": "jayachander123/boosting-visualization-random-forest", "kernel_id": "3579733"}, {"ref": "hadihebat/machine-learning-assignment-two-hadi", "kernel_id": "3696172"}, {"ref": "anastitan/house-price-prediction", "kernel_id": "3497553"}, {"ref": "duykhanh99/stacked-regressions", "kernel_id": "3839388"}, {"ref": "vijaykandakatla/house-prices-gradient-boost-svr", "kernel_id": "3520349"}, {"ref": "itsbitan/house-price-prediction", "kernel_id": "3870264"}, {"ref": "yalcinberkay/house-prices-on-keras", "kernel_id": "3488209"}, {"ref": "xaendro/house-price-prediction", "kernel_id": "3300424"}, {"ref": "nikolayz/houseprices-catboost", "kernel_id": "3673768"}, {"ref": "coldjune/predict-house-prices", "kernel_id": "3622338"}, {"ref": "dauchara/testhomeworktask", "kernel_id": "3251566"}, {"ref": "dauchara/test2", "kernel_id": "3376755"}, {"ref": "alefsegura/houses-price-prediction", "kernel_id": "3238831"}, {"ref": "raasik/house-price-prediction-beginners-eda-ml", "kernel_id": "3065442"}, {"ref": "sachinkun21/comprehensive-data-exploration-with-python", "kernel_id": "3874848"}, {"ref": "elhmadany/house-prices-me", "kernel_id": "3888278"}, {"ref": "lethonomia/housing-prices", "kernel_id": "3388172"}, {"ref": "yutaoc/house-price", "kernel_id": "3550703"}, {"ref": "itslek/h2o-automl-house-prices-v3", "kernel_id": "3082639"}, {"ref": "itslek/blend-stack-lr-gb-0-10649-house-prices-v57", "kernel_id": "3077979"}, {"ref": "brentonavril/notsoadvancedregression-077c18", "kernel_id": "3596001"}, {"ref": "alexisbcook/xgboost", "kernel_id": "3081590"}, {"ref": "sandile111/top-39-comparing-nn-xgboost-and-regression", "kernel_id": "3578378"}, {"ref": "jianame/house-prices-advanced-regression-techniques", "kernel_id": "3149189"}, {"ref": "iamstark/simple-imputation-and-encoding", "kernel_id": "3093251"}, {"ref": "bogdanbaraban/kernel7693290d33", "kernel_id": "3614203"}, {"ref": "sarioglutalha/house-prices", "kernel_id": "3857107"}, {"ref": "hrush777/kernel93e4814919", "kernel_id": "3757009"}, {"ref": "ardacicin/kernel4bda3c40ac", "kernel_id": "3852388"}, {"ref": "parul19/house-price-step-by-step-explanation", "kernel_id": "3444996"}, {"ref": "kkoksal/house-price-advanced-regression-techniques", "kernel_id": "3814783"}, {"ref": "vivekkr970/house-price-prediction", "kernel_id": "3812656"}, {"ref": "brysonjbanks/an-exploration-of-l1-and-l2-regularization", "kernel_id": "3068562"}, {"ref": "abdulmalik0x/ames-solution", "kernel_id": "3363554"}, {"ref": "umutarslan/kernelb2e3fc0773", "kernel_id": "3846404"}, {"ref": "gdssnz/testing-of-tree-methods-on-extrapolation", "kernel_id": "3380468"}, {"ref": "baoaolei/house-price-prediction", "kernel_id": "3462304"}, {"ref": "vivek272/house-prediction-randomforest", "kernel_id": "3187106"}, {"ref": "subinium/subinium-tutorial-house-prices-advanced", "kernel_id": "3301736"}, {"ref": "ashergaga/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "3225285"}, {"ref": "dmalav17/house-price-prediction", "kernel_id": "3396255"}, {"ref": "adepvenugopal/data-visualization-made-simple-part1", "kernel_id": "3092550"}, {"ref": "djbrandt83/basic-ames-housing-price-predictor", "kernel_id": "3136590"}, {"ref": "zugariy/regression-blending-and-stacking-v-02", "kernel_id": "3771445"}, {"ref": "gunesevitan/house-prices-advanced-stacking-tutorial", "kernel_id": "3767578"}, {"ref": "xardagio/my-analysys-oneclasssvm-pca-cross-validation-ml", "kernel_id": "3731395"}, {"ref": "gougou93/kernel0f8ea657c2", "kernel_id": "3495435"}, {"ref": "catherine83/kerneld642227a72", "kernel_id": "3547960"}, {"ref": "suzushou5628/kernel-house-prices-advanced-regression-techniques", "kernel_id": "3423286"}, {"ref": "suzushou5628/20190406-randomforestclassifier", "kernel_id": "3505530"}, {"ref": "manojbaghela/house-prices-regression", "kernel_id": "3938579"}, {"ref": "nsilman/nesma-silman-housing-prices", "kernel_id": "3463646"}, {"ref": "nsilman/housing-prices-gb", "kernel_id": "3514225"}, {"ref": "keshavramaiah/house-pricing-using-neural-nets", "kernel_id": "3758552"}, {"ref": "charris1798/housing-xgb-boost-harris-addons", "kernel_id": "3081382"}, {"ref": "muksamrat/house-prices-sm", "kernel_id": "3138598"}, {"ref": "syosr6/house-pricing-linear-regression", "kernel_id": "3308577"}, {"ref": "khiwila/kernel8ad031fb05", "kernel_id": "3626188"}, {"ref": "tripidhoble/house-prices-predictions", "kernel_id": "3863508"}, {"ref": "hasibenur/predicting-house-prices-w-randomforest", "kernel_id": "3820216"}, {"ref": "manojkumarmaruthi/house-price-prediction-using-decisiontree", "kernel_id": "3318896"}, {"ref": "jesucristo/1-house-prices-solution-top-1", "kernel_id": "3213502"}, {"ref": "mageshmuthumani/advance-regression-lasso-ridge", "kernel_id": "3561316"}, {"ref": "morinja/housing-price-predictions-combining-techniques", "kernel_id": "3838365"}, {"ref": "efremovaae/house-prices-l1-l2-elasticnet-xgbregressor", "kernel_id": "3091310"}, {"ref": "haianh88/detailed-feature-processing-and-gbregressor", "kernel_id": "3580103"}, {"ref": "nmoriconi/house-price-competition-test", "kernel_id": "3246848"}, {"ref": "nzarkadas/house-price-predition", "kernel_id": "3809390"}, {"ref": "s76457/handling-missing-values", "kernel_id": "3106303"}, {"ref": "s76457/xgboost", "kernel_id": "3106708"}, {"ref": "s76457/using-categorical-data-with-one-hot-encoding", "kernel_id": "3106387"}, {"ref": "tommyb999/initial-house-price-kernel", "kernel_id": "3134683"}, {"ref": "tonyramelo/predicting-housing-price", "kernel_id": "3210394"}, {"ref": "abhi0706/house-price-soln", "kernel_id": "3485695"}, {"ref": "maestroyi/house-prices-prediction-with-r-to-korean", "kernel_id": "3393586"}, {"ref": "need4data/linear-model-for-house-price-pridiction", "kernel_id": "3869742"}, {"ref": "moroz1398/morozroman-kernel", "kernel_id": "3461876"}, {"ref": "aryaanukr/house-price-prediction-using-linear-regression", "kernel_id": "3388941"}, {"ref": "negi009/house-prices-advanced-regression-techniques", "kernel_id": "3348029"}, {"ref": "nee2shaji/simple-kernel-for-a-beginner-top-25", "kernel_id": "3130471"}, {"ref": "knahsahs/housing-price-using-random-forest", "kernel_id": "3035991"}, {"ref": "knahsahs/house-prediction-using-random-forest", "kernel_id": "3062133"}, {"ref": "knahsahs/get-your-model-ready-to-submit", "kernel_id": "3066616"}, {"ref": "ahmawad96/housing-prices-using-decision-trees", "kernel_id": "3700964"}, {"ref": "flichao/kernel2cd91957af", "kernel_id": "3133095"}, {"ref": "marweni/house-prices-complete-solution-with-guidance", "kernel_id": "3663842"}, {"ref": "ashaytikekar/eda-housing-dataset", "kernel_id": "3831802"}, {"ref": "marjankh/house-price-prediction", "kernel_id": "3174964"}, {"ref": "kumaml/kuma-house-price-predict", "kernel_id": "3085589"}, {"ref": "xian506721/house-price", "kernel_id": "3454830"}, {"ref": "priyankabanerjee30/housepriceprediction", "kernel_id": "3440166"}, {"ref": "kaggle2007/housing-prediction-with-sgd", "kernel_id": "3470957"}, {"ref": "venkateshdeepak/newhouse", "kernel_id": "3404279"}, {"ref": "venkateshdeepak/housing-price", "kernel_id": "3194584"}, {"ref": "venkateshdeepak/house-mlp", "kernel_id": "3796911"}, {"ref": "adikeshri/housing-prices-prediction-using-xgboost", "kernel_id": "3670253"}, {"ref": "umairnsr87/simplest-solution-for-beginners-using-r", "kernel_id": "3629211"}, {"ref": "mrfrancois/predicting-house-prices", "kernel_id": "3312726"}, {"ref": "kalorincz/new-approach-to-stacking-easy-tutorial-top-17", "kernel_id": "3646933"}, {"ref": "gali1eo/a-simple-linear-model", "kernel_id": "3093607"}, {"ref": "janmarcelkezmann/regression-tests-2", "kernel_id": "3312174"}, {"ref": "zc944376823/comprehensive-data-exploration-with-python", "kernel_id": "3242167"}, {"ref": "njabulo016/house-prices-final-version", "kernel_id": "3895262"}, {"ref": "viewside/house-price", "kernel_id": "3148782"}, {"ref": "diz199788/stacked-regressions-top-4-on-leaderboard-766b76", "kernel_id": "3117128"}, {"ref": "furkantufan/house-price", "kernel_id": "3854754"}, {"ref": "keithfish/kaggle-7-xgbst-enet", "kernel_id": "3121868"}, {"ref": "racc79/my-first-kaggle-competition-step-by-step", "kernel_id": "3569174"}, {"ref": "nilimajauhari/houseprice-eda", "kernel_id": "3827763"}, {"ref": "teddybear01/house-price-prediction-with-keras", "kernel_id": "3854800"}, {"ref": "haktaneb/kernel6561f516ec", "kernel_id": "3858353"}, {"ref": "bugrasoysal/house-price-prediction-with-decision-trees", "kernel_id": "3836381"}, {"ref": "nickjhoward/multiple-linear-regression-and-eda", "kernel_id": "3198121"}, {"ref": "nickjhoward/eda-and-model-for-ames", "kernel_id": "3198230"}, {"ref": "rajashekarp/real-estate-pricing", "kernel_id": "3134568"}, {"ref": "farukcansoray/ke-if-geribildirim-aktivitesi-2", "kernel_id": "3858766"}, {"ref": "raxtemur/house-prices-advanced-regression-techniques", "kernel_id": "3275207"}, {"ref": "alperenckr/linear-regression", "kernel_id": "3848123"}, {"ref": "senatezcan/house-price-prediction", "kernel_id": "3855347"}, {"ref": "koushikcon/house-prices-deep-learning-beginner", "kernel_id": "3949434"}, {"ref": "hacerbusrakilic/kernelccedb9db11", "kernel_id": "3858169"}, {"ref": "atesarkuran/house-price-solution", "kernel_id": "3865390"}, {"ref": "chanakya07/beginners-guide-top-15-eda-stacked-regression", "kernel_id": "3931992"}, {"ref": "catrywong/house-price", "kernel_id": "3942070"}, {"ref": "emilmammadov/kernelccb6fdaff6", "kernel_id": "3859022"}, {"ref": "orkhan1/kernel70df7ce891", "kernel_id": "3863511"}, {"ref": "akarmurat/kernel28fcdccb57", "kernel_id": "3875313"}, {"ref": "sedakaya/kernel912bf73978", "kernel_id": "3867899"}, {"ref": "tmkggl/lightgbm-model-crossvalidation", "kernel_id": "3594095"}, {"ref": "tmkggl/xgboost-an-initial-model", "kernel_id": "3449529"}, {"ref": "svsalih/mehmetsalihdarendelio-lu-150201120", "kernel_id": "3859132"}, {"ref": "geraldbostock/price-prediction", "kernel_id": "3858171"}, {"ref": "sarikaaya/house-price", "kernel_id": "3859428"}, {"ref": "marcusp489/midterm-project-1", "kernel_id": "3282318"}, {"ref": "dditucci/comprehensive-data-exploration-with-python", "kernel_id": "3179835"}, {"ref": "xiuwenbo666/house-price-prediction-eda-datawrangling", "kernel_id": "3839760"}, {"ref": "lijocheeran/tutorial-test-1", "kernel_id": "3224531"}, {"ref": "asura93/comprehensive-data-exploration-with-python", "kernel_id": "3210591"}, {"ref": "jshn93/first-practice", "kernel_id": "3238790"}, {"ref": "jongbeompark/house-prices-pytorch-gpu-bootstrapping", "kernel_id": "3599540"}, {"ref": "jongbeompark/house-prices-with-pytorch", "kernel_id": "3597990"}, {"ref": "gorewa/house-prices", "kernel_id": "3318718"}, {"ref": "chaobaji/house-prices", "kernel_id": "3590872"}, {"ref": "ilyasziyaoglu/randomforestregression", "kernel_id": "3859025"}, {"ref": "szymonmaszke/error-in-data-fixing-and-initial-preprocessing", "kernel_id": "3604939"}, {"ref": "ramiiii/predict-sales-prices", "kernel_id": "3326344"}, {"ref": "satyamsanu/housing-prices", "kernel_id": "3387753"}, {"ref": "albabtainaab/project-2-part-1-by-shawarma-united", "kernel_id": "3363655"}, {"ref": "tqkaggle/project-2-dsi3", "kernel_id": "3346402"}, {"ref": "arimaha/deepdream-team", "kernel_id": "3361909"}, {"ref": "afsaja/ga-misk-dsi3-project2a", "kernel_id": "3296954"}, {"ref": "hebahmirza/house", "kernel_id": "3299320"}, {"ref": "cookiezzr/kernel365ce0c1ee", "kernel_id": "3297203"}, {"ref": "linsing/house-prices", "kernel_id": "3453040"}, {"ref": "askhayerga/house-price-advanced-regression-techniques", "kernel_id": "3336241"}, {"ref": "panstav7/data-exploration-and-visualization", "kernel_id": "3483627"}, {"ref": "eliaszervudakis/house-prices-prediction", "kernel_id": "3354316"}, {"ref": "akumaldo/housing-price-prediction-stackingregressor-lgbm", "kernel_id": "3536319"}, {"ref": "khangtran97/kernelf41d928573", "kernel_id": "3464276"}, {"ref": "duynm619/regularized-linear-models-xgboostregressor", "kernel_id": "3535123"}, {"ref": "neil28/predicting-house-prices", "kernel_id": "3463420"}, {"ref": "neil28/kernel726402cfdc", "kernel_id": "3462025"}, {"ref": "mohamed1993/kernel0c578feaef", "kernel_id": "3899354"}, {"ref": "arailly/aims-kaggle-seminar", "kernel_id": "3951707"}, {"ref": "whoyouare/kernel44298aa21b", "kernel_id": "3634018"}, {"ref": "bermakhanov/house-price-logisticregression", "kernel_id": "3628785"}, {"ref": "ivansv/regression-ml-house-prices", "kernel_id": "3622370"}, {"ref": "brunairlly/houseprice", "kernel_id": "3538176"}, {"ref": "rnascimento/kernel560fc272ae", "kernel_id": "3660617"}, {"ref": "abnern/passo-a-passo", "kernel_id": "3480727"}, {"ref": "kbrajwani1811/eda-with-stacking", "kernel_id": "3816473"}, {"ref": "tropicalai/housing-prices-v2-2-averaged-prediction", "kernel_id": "3875865"}, {"ref": "tropicalai/linear-regression-v1", "kernel_id": "3704489"}, {"ref": "danchich94/advance-regresion-with-gradient-boosting", "kernel_id": "3654071"}, {"ref": "otivedani/housepredict-otivedani", "kernel_id": "3558883"}, {"ref": "clelong95/housing", "kernel_id": "3604716"}, {"ref": "benjaminbarnhart19/benshpkernal", "kernel_id": "3595333"}, {"ref": "analitor/house-prices-multivariable-linear-regression", "kernel_id": "3646030"}, {"ref": "machfire/housing-prices-beginner-competition", "kernel_id": "3664030"}, {"ref": "iamkaikai/my-house-price", "kernel_id": "3909555"}, {"ref": "aradius22/house-prices-high-correlated-features", "kernel_id": "3959872"}, {"ref": "manjureddygl/house-prices-advanced-regression-techniques", "kernel_id": "3657318"}, {"ref": "pankeshpatel/housing-price-prediction", "kernel_id": "3949369"}, {"ref": "pankeshpatel/handing-missing-values-drop-impute-extension", "kernel_id": "3942321"}, {"ref": "sophiewestbrook/house-hunters-r", "kernel_id": "3751728"}, {"ref": "shashank411/regression-house-pricing", "kernel_id": "3951956"}, {"ref": "kabccle/kernel", "kernel_id": "3890124"}, {"ref": "emanuelssj/housing-first-kernel-to-be-continued", "kernel_id": "3736220"}, {"ref": "cjnesseth/first-try", "kernel_id": "3867623"}, {"ref": "patilneha09/house-prices-eda-and-prediction", "kernel_id": "3973165"}, {"ref": "ri2bhu/housing-sale-price-prediction", "kernel_id": "3789942"}, {"ref": "tanyapaquet/linear-lasso-and-rf-regression-investigations", "kernel_id": "3919532"}, {"ref": "atakanfire/evaluation-of-house-prices", "kernel_id": "3858281"}, {"ref": "ouerten2/house-price-prediction", "kernel_id": "3836779"}, {"ref": "ndivhuwo05/machine-thirteen", "kernel_id": "3843403"}, {"ref": "selamirock/kernel0cac6227af", "kernel_id": "3845364"}, {"ref": "mrflamboyyandt/housing-predict-team-10", "kernel_id": "3907275"}, {"ref": "ayoubhawk/house-priceprediction", "kernel_id": "3867799"}, {"ref": "nkamogeleng/edsa-regression-18-a41f3e", "kernel_id": "3961901"}, {"ref": "cagatayyes2/140202051", "kernel_id": "3873534"}, {"ref": "subashnaidupalli/application-train-interpretation-clustering", "kernel_id": "3870965"}, {"ref": "dyegofonseca/simple-linear-regression-models", "kernel_id": "3994170"}, {"ref": "pvlima/workshop-walkthrough", "kernel_id": "4036315"}, {"ref": "pvlima/workshoptemplate", "kernel_id": "4036459"}, {"ref": "debashissanyal/linear-and-tree-based-models-with-stacking", "kernel_id": "4251195"}, {"ref": "edgelab/house-prices-eda", "kernel_id": "4081947"}, {"ref": "ahffan/house-pricing-modelling-top-5-percentile", "kernel_id": "4691859"}, {"ref": "snehal1409/comprehensive-exploration-cleaning", "kernel_id": "4192166"}, {"ref": "snehal1409/lasso-enet-tensorflow-keras", "kernel_id": "4206873"}, {"ref": "vkat72293/predicting-house-prices-with-regression-top-16", "kernel_id": "4069823"}, {"ref": "ashaaf/housing-pricing-sicikit-learn", "kernel_id": "4267675"}, {"ref": "mil00se/house-prices-tests", "kernel_id": "4555629"}, {"ref": "zehracan/houseprices", "kernel_id": "4950879"}, {"ref": "palashfendarkar/kernel28c331b259", "kernel_id": "4878512"}, {"ref": "imfaridz/house-price-1", "kernel_id": "4987664"}, {"ref": "code1110/make-a-friend-with-lightgbm-and-her-rivals", "kernel_id": "4497291"}, {"ref": "divanshgoel/houseprice", "kernel_id": "4424938"}, {"ref": "rahulpatel7490/linear-regression-pca", "kernel_id": "4843769"}, {"ref": "yash17ag/yash-housing", "kernel_id": "4118323"}, {"ref": "katkamrakesh/housing-xgrbooster", "kernel_id": "4587624"}, {"ref": "scottyiu/random-forest-sklearn-fastai-on-house-prices", "kernel_id": "4968065"}, {"ref": "eiosifov/house-nocategorval-randomforestregressor", "kernel_id": "4868366"}, {"ref": "moizzz/eda-and-basic-model-manual-vs-h2o-automl", "kernel_id": "4664757"}, {"ref": "minjipark/house-price2", "kernel_id": "4127538"}, {"ref": "neonninja/house-price-golf", "kernel_id": "4486059"}, {"ref": "davidtnly/stacked-regressions-and-modeling-framework-w-eda", "kernel_id": "4445622"}, {"ref": "nirav605/exploring-various-models", "kernel_id": "4403404"}, {"ref": "dysonlin/regression-top-20-with-a-very-simple-model-lasso", "kernel_id": "4003893"}, {"ref": "ankschoubey/fastai-tabular", "kernel_id": "4891026"}, {"ref": "tthien/tutorial-pandas-with-sklearn", "kernel_id": "4221732"}, {"ref": "tthien/very-simple-baseline", "kernel_id": "4256349"}, {"ref": "tentativafc/02-house-pricing", "kernel_id": "4163944"}, {"ref": "shubham2306/house-price-prediction", "kernel_id": "4562232"}, {"ref": "joemenifee/housing-prices-prediction", "kernel_id": "4078659"}, {"ref": "msabr027/mse-0-017-xgboost-and-one-hot-encoding", "kernel_id": "4757210"}, {"ref": "grapestone5321/random-forest-regressor-basic", "kernel_id": "4759234"}, {"ref": "grapestone5321/linear-model-lasso", "kernel_id": "4574579"}, {"ref": "rezwan07/kernel74b95d45a9", "kernel_id": "4646047"}, {"ref": "aussie84/eda-let-s-cluster-the-houses", "kernel_id": "4767156"}, {"ref": "aussie84/uber-s-ludwig-auto-ml", "kernel_id": "4402218"}, {"ref": "jiaofenx/houseprice-top-10-with-ensemble-modeling", "kernel_id": "4742804"}, {"ref": "sagarnil1989/housingprice-python", "kernel_id": "4417138"}, {"ref": "rtatman/example-submission", "kernel_id": "4723462"}, {"ref": "vikumsw/guide-for-comprehensive-data-exploration-in-python", "kernel_id": "4940728"}, {"ref": "fullomen/house-pricing-challenge-homemade-ensemble", "kernel_id": "4444284"}, {"ref": "ajisamudra/house-price-prediction", "kernel_id": "4442770"}, {"ref": "sugawarya/h2o-28800s-houseprice", "kernel_id": "4564202"}, {"ref": "lazyer/stacked-featuring-simpletest", "kernel_id": "4068618"}, {"ref": "akshay1296/house-price-prediction-with-eda-visualization-tpot", "kernel_id": "4775880"}, {"ref": "weiwei142/houseprices", "kernel_id": "4405621"}, {"ref": "weiwei142/housepricewithkeras", "kernel_id": "4440950"}, {"ref": "jermainedavis/house-price", "kernel_id": "4536587"}, {"ref": "anisha91/classification-and-regression-pipeline-python", "kernel_id": "4968167"}, {"ref": "stone4789/housing-redo", "kernel_id": "4974444"}, {"ref": "xealer/eparkini-notebook", "kernel_id": "4085254"}, {"ref": "tochelle1/data-exploration-and-prediction-of-house-price", "kernel_id": "4215804"}, {"ref": "nitinchauhan178/predict-house-price-1-1", "kernel_id": "4349471"}, {"ref": "irfanchahyadi/house-price-simple-ml", "kernel_id": "4487015"}, {"ref": "nims972/basic-eda-for-house-price", "kernel_id": "4847665"}, {"ref": "gunishj/xgboost-implementation-for-ml-model", "kernel_id": "4627225"}, {"ref": "aspitkar/housing-prices-data-exploration-and-regression", "kernel_id": "4773448"}, {"ref": "iamsaurabhc/meaning-relevance-modeling", "kernel_id": "4859532"}, {"ref": "pocahontas1010/data-wrangling-eda-starter-code", "kernel_id": "4001354"}, {"ref": "ibrahimmukherjee/python-basics-for-data-science-language-basics", "kernel_id": "4861143"}, {"ref": "madhur321/kernelfb160c20bd", "kernel_id": "4659500"}, {"ref": "generalzaad/house-prices-ridge-ml-squad-edsa-team-19", "kernel_id": "4081402"}, {"ref": "tawabml/house-price-prediction", "kernel_id": "4030551"}, {"ref": "puritymolala/house-price-prediction", "kernel_id": "4096146"}, {"ref": "felipefiorini/xgboost-hyper-parameter-tuning", "kernel_id": "4637406"}, {"ref": "felipefiorini/house-prices-regression-models", "kernel_id": "4224913"}, {"ref": "vladlee/house-prices-regression-lgbm", "kernel_id": "4692722"}, {"ref": "lavanyashukla01/how-i-made-top-0-3-on-a-kaggle-competition", "kernel_id": "4181162"}, {"ref": "pidugusundeep/the-data-scientist-s-toolbox-tutorial-1", "kernel_id": "4045835"}, {"ref": "shaliniyaramada/house-prices-eda-rfe-ridge-regression", "kernel_id": "4999277"}, {"ref": "mouradio/kernel9ba77ec80b", "kernel_id": "4103796"}, {"ref": "adibakm/housingprices", "kernel_id": "4742749"}, {"ref": "gauravarora13/top-1-lgb-xbg-stacking-04de23", "kernel_id": "4930043"}, {"ref": "rumyantsevok/going-exploration-again-now-fully-myself", "kernel_id": "4258381"}, {"ref": "edulira/a-simple-approach", "kernel_id": "4376385"}, {"ref": "mchomicz/houseprices-boruta-hyperopt-and-blending", "kernel_id": "4822802"}, {"ref": "ryomaekura/aims-kaggle-seminar-2nd-day", "kernel_id": "4027904"}, {"ref": "ureqsh/turing-regression-techniques", "kernel_id": "4597143"}, {"ref": "misterion777/house-pricing-models", "kernel_id": "4069923"}, {"ref": "jadatravu/blending-applied-for-regression-problem", "kernel_id": "4662152"}, {"ref": "jadatravu/stacking-applied-for-regression-problem", "kernel_id": "4747034"}, {"ref": "waltermontesb/aprendizaje-estad-stico-los-vecinos-de-markov", "kernel_id": "4424282"}, {"ref": "bhanu123/kerneld64bc986ae", "kernel_id": "4895975"}, {"ref": "michelcandido/kernelcca0fd4349", "kernel_id": "4036859"}, {"ref": "vnesh123/house-price-data-analysis", "kernel_id": "4679846"}, {"ref": "njabz12/internet-of-kings-edsa-jhb", "kernel_id": "4041616"}, {"ref": "slavavvv/kernel1781d1961b", "kernel_id": "4196920"}, {"ref": "cgot93/nn-house-princing", "kernel_id": "4092062"}, {"ref": "jsiedersberger/house-prices-prediction", "kernel_id": "4558737"}, {"ref": "taeyoukim/house-price", "kernel_id": "4475131"}, {"ref": "idombanker/kernel82c70f8de9", "kernel_id": "4776257"}, {"ref": "gopeshk/eda-and-prediction", "kernel_id": "4777707"}, {"ref": "samrat77/house-prices-data-analytics", "kernel_id": "4590701"}, {"ref": "brunohjort/house-prices-lasso", "kernel_id": "4167673"}, {"ref": "brunohjort/house-prices-lasso-v2", "kernel_id": "4190100"}, {"ref": "parthplc/house-regression-analysis", "kernel_id": "4131838"}, {"ref": "parakhsrivastava/house-pricing-self", "kernel_id": "4963142"}, {"ref": "husmen/lightgbm-parameter-tuning-v2", "kernel_id": "4014941"}, {"ref": "husmen/xgboost-parameter-tuning-v2", "kernel_id": "4008209"}, {"ref": "googlemkunthe/power-of-low-lr", "kernel_id": "4715049"}, {"ref": "jameshuang890902/house-prices-data", "kernel_id": "4298588"}, {"ref": "agailloty/comparing-regression-techniques", "kernel_id": "4633580"}, {"ref": "askmedov/log-and-not-log", "kernel_id": "4733741"}, {"ref": "jcaminha/k-means-dataset", "kernel_id": "4101408"}, {"ref": "jcaminha/regress-o-dataset", "kernel_id": "4633758"}, {"ref": "jackgisby/ames-housing-xgboost-lasso", "kernel_id": "4031765"}, {"ref": "shwethavasudevan/housing-prices", "kernel_id": "4918283"}, {"ref": "riaanswanepoel/edsa-jhb-t20-kernel", "kernel_id": "4080726"}, {"ref": "sgiov95/eda-prediction", "kernel_id": "4568327"}, {"ref": "pushp1997/kernel70cdd6d45e", "kernel_id": "4884649"}, {"ref": "dhirajchandak04/house-price-prediction", "kernel_id": "4984054"}, {"ref": "katyayni92/house-prices-advance-regression-techniques", "kernel_id": "4259237"}, {"ref": "ritaprava95/kernel33f868ae90", "kernel_id": "4938787"}, {"ref": "purnasaig/house-sales-beginner-s-eda", "kernel_id": "4148267"}, {"ref": "sonnihs/house-price-prediction", "kernel_id": "4715193"}, {"ref": "moonisafairy/feature-engineering", "kernel_id": "4961493"}, {"ref": "shivangmathur/rf-vs-lightgbm-vs-xgboost", "kernel_id": "4244083"}, {"ref": "ikardi/house-price-prediction-420", "kernel_id": "4830083"}, {"ref": "yinglin123/linear-regression-for-housing-price-prediction", "kernel_id": "4510332"}, {"ref": "thiagopanini/housing-prices-feature-engineering-pt-br", "kernel_id": "4420117"}, {"ref": "bornhansie/house-prices-regression-team-11", "kernel_id": "4085077"}, {"ref": "salbalkus/balkus-home-price-regression", "kernel_id": "4483734"}, {"ref": "rfairon/kaggle-house-price-predict-challenge", "kernel_id": "4013269"}, {"ref": "venky2506/housepricing", "kernel_id": "4912722"}, {"ref": "kavyajeet/house-price-prediction-with-eda", "kernel_id": "4561212"}, {"ref": "kavyajeet/kernel-1-1", "kernel_id": "4198065"}, {"ref": "astamatis/house-prices-competition", "kernel_id": "4212666"}, {"ref": "greg54721/edsa-jhb-team-9", "kernel_id": "4095282"}, {"ref": "machinem4/ml-approach-on-the-ames-housing-dataset", "kernel_id": "4097496"}, {"ref": "captainvoid/stacking-boosting-and-blending-price-prediction", "kernel_id": "4011092"}, {"ref": "nikkisharma536/fastai-house-prediction", "kernel_id": "4402191"}, {"ref": "pranjalya/house-pricing", "kernel_id": "4056201"}, {"ref": "ridhamoosa/house-prices-advanced-regression-group-1", "kernel_id": "4082237"}, {"ref": "aqsa2777/ml-pipeline-house-price-competition", "kernel_id": "4299833"}, {"ref": "pierpaolo28/house-prices", "kernel_id": "4171798"}, {"ref": "yw6916/top-9-eda-stacking-ensemble", "kernel_id": "4393428"}, {"ref": "yw6916/where-to-start-feature-extract-correlation-matrix", "kernel_id": "4285286"}, {"ref": "bisman/housing-price-lasso-and-ridge-regression", "kernel_id": "4722403"}, {"ref": "pakkanmeric/housing-prices-mp", "kernel_id": "4677329"}, {"ref": "vrtompkins/kaggle-workshop-ensembling-demo", "kernel_id": "4868584"}, {"ref": "editht/quantile-regression-vs-gradient-boosting", "kernel_id": "4276647"}, {"ref": "saag22/eda-housing-price", "kernel_id": "4227209"}, {"ref": "gebera2011/simple-data-cleaning", "kernel_id": "4294341"}, {"ref": "gipark2001/the-data-scientist-s-toolbox-tutorial-1", "kernel_id": "4794877"}, {"ref": "gipark2001/housing-prices", "kernel_id": "4727475"}, {"ref": "gipark2001/kernel924a3c9837", "kernel_id": "4743667"}, {"ref": "gipark2001/kernel69bbad4823", "kernel_id": "4743703"}, {"ref": "antonias/quick-guide-eda-modeling", "kernel_id": "4014056"}, {"ref": "lakshmi25npathi/exploratory-data-analysis", "kernel_id": "4565346"}, {"ref": "lakshmi25npathi/housing-price-predictions-lightgbm", "kernel_id": "4845612"}, {"ref": "leandrogarcialopes/lgl-nb-06-all-models-data-expl", "kernel_id": "4568184"}, {"ref": "abhinand05/predicting-housingprices-simple-approach", "kernel_id": "4099394"}, {"ref": "lixiaohong1105/xiaohong-bostonhouse", "kernel_id": "4204438"}, {"ref": "abhisingh879/gradiant-boosting-lgb-xgboost-stacking", "kernel_id": "4039465"}, {"ref": "abekek/kernel2d8cce840e", "kernel_id": "4405128"}, {"ref": "worounas/kernel304046b3dd", "kernel_id": "4033599"}, {"ref": "readeryu/regressiontree", "kernel_id": "4066155"}, {"ref": "readeryu/usingxgboost", "kernel_id": "4079843"}, {"ref": "honglou/kernel93b82c6fef", "kernel_id": "4363882"}, {"ref": "honglou/kernel1a4b6ab635", "kernel_id": "4334607"}, {"ref": "honglou/kernel5e13e70f7c", "kernel_id": "4639671"}, {"ref": "tshego/house-prices-edsa-team-21", "kernel_id": "4585259"}, {"ref": "vaishvik25/top-1-lgb-xbg-stacking", "kernel_id": "4812884"}, {"ref": "mokhles96/mokhles-kernel", "kernel_id": "4706019"}, {"ref": "n123hammer/regression-stats-tableau-feature-engineering", "kernel_id": "4102409"}, {"ref": "dashmeetkaur/housing-dk", "kernel_id": "4403068"}, {"ref": "manmodesanket/house-price-prediction-using-regression", "kernel_id": "4473272"}, {"ref": "circlejerkhug/housingprice-prediction", "kernel_id": "4484689"}, {"ref": "shehaamm/edsa-regression-team-8-house-price-regression", "kernel_id": "4084916"}, {"ref": "shaygu/house-prices-begginer-top-7", "kernel_id": "4341267"}, {"ref": "shaygu/beginner-house-prices-eda", "kernel_id": "4172892"}, {"ref": "mrluirl/top-2-generalizing-the-best-of-public-kernels", "kernel_id": "4551693"}, {"ref": "himanshumriu/5-ways-to-handle-missing-data", "kernel_id": "4646037"}, {"ref": "odesk5/typing-practice-1-working-with-big-data", "kernel_id": "4863010"}, {"ref": "niels7/edsa-cpt-group-12-regression", "kernel_id": "4089517"}, {"ref": "pechpilz/house-prices", "kernel_id": "4065614"}, {"ref": "roshangupta13/eda-feature-engineering-regression-model", "kernel_id": "4883168"}, {"ref": "okazakiber/house-prices-stacking", "kernel_id": "4417143"}, {"ref": "svpraveen/house-prices-advanced-regression-basic", "kernel_id": "4003196"}, {"ref": "shamiridan/simple-models-ensemble-top-20", "kernel_id": "4012408"}, {"ref": "werty12121/house-prices-eda-basic-stacknet", "kernel_id": "4046086"}, {"ref": "pedrohqalves/pedroalves-houseprices-rev2", "kernel_id": "4124404"}, {"ref": "phomolo/house-price-prediction-linear-lasso-ridge", "kernel_id": "4067377"}, {"ref": "yushg123/houseprice", "kernel_id": "4294916"}, {"ref": "yushg123/ensembling-gradient-boosting-and-lasso", "kernel_id": "4505980"}, {"ref": "zhang0928/house-price-new", "kernel_id": "4245343"}, {"ref": "stewartyoung/housepriceprediction", "kernel_id": "4642188"}, {"ref": "khalidzaki/house-prices", "kernel_id": "4757048"}, {"ref": "jirakst/house-prices", "kernel_id": "4128267"}, {"ref": "mechbal001/final-sumbission-avec-lasso-final", "kernel_id": "4567777"}, {"ref": "marcocag/simple-beginner-s-kaggle-kernel", "kernel_id": "4384516"}, {"ref": "shivaansook/shivaan-kernel2a280269b9", "kernel_id": "4085955"}, {"ref": "ultimatepercy/final-regression-team-notebook", "kernel_id": "4085621"}, {"ref": "kumakichiwel/house-price-1", "kernel_id": "4037597"}, {"ref": "kingmario7/house-prices-advanced-regression-techniques", "kernel_id": "4042704"}, {"ref": "jaguar1202/house-prices-prediction", "kernel_id": "4492847"}, {"ref": "pksx01/house-price-prediction-using-tensorflow", "kernel_id": "4177011"}, {"ref": "youssephahmed/house-predictions", "kernel_id": "4377392"}, {"ref": "ashatov/kernelee90739a3e", "kernel_id": "4162395"}, {"ref": "varunmiranda/house-prices-predictions", "kernel_id": "4868786"}, {"ref": "anderfj/data-preprocessing-impact-on-10-ml-models", "kernel_id": "4410193"}, {"ref": "imranmik/housingprice", "kernel_id": "4553265"}, {"ref": "siphesihle/edsa-house-predict", "kernel_id": "4158549"}, {"ref": "keyoolin/team-1-explore-10x", "kernel_id": "4139759"}, {"ref": "nomuyoshi0111/house-prices-third-challenge", "kernel_id": "4403080"}, {"ref": "mujinkeikakupro/operation-check-test-basemodel", "kernel_id": "4742542"}, {"ref": "titusndondo/data-cleaning-pipeline-eda", "kernel_id": "4864912"}, {"ref": "medaziztousli/house-prices-advanced-regression-techniques", "kernel_id": "4990330"}, {"ref": "gosunriver/predication-with-tensorflow", "kernel_id": "4950465"}, {"ref": "jomoon/lasso-and-enet-edited", "kernel_id": "4053266"}, {"ref": "obrunet/house-prices", "kernel_id": "4937572"}, {"ref": "aradius22/houseprice-onehotencoding", "kernel_id": "4279871"}, {"ref": "aradius22/house-price-xgbregressor", "kernel_id": "4564063"}, {"ref": "yukikitayama/bayesian-data-analysis-of-house-prices", "kernel_id": "4925841"}, {"ref": "mathanrajsharma/house-price-prediction", "kernel_id": "4383168"}, {"ref": "slvjgd/sj-house-price-estimation", "kernel_id": "4973890"}, {"ref": "alexisharris/kernel43dd97dc87", "kernel_id": "4267852"}, {"ref": "fyh666/kernel92511e46c2", "kernel_id": "4877620"}, {"ref": "suvrangshu/home-price-predict-using-regression", "kernel_id": "4077173"}, {"ref": "navnina/feature-engineering-and-stacked-model", "kernel_id": "4738701"}, {"ref": "andrelourenco/kerneldecfdb6698", "kernel_id": "4348849"}, {"ref": "msikamhlanga/final-group5", "kernel_id": "4085100"}, {"ref": "hugocornusoat/soteam-basic-exemples-of-feature-engineering", "kernel_id": "4175758"}, {"ref": "neolei/housepriceprediction-pytorch", "kernel_id": "4621242"}, {"ref": "trojanangel/team16-house-prices-competition", "kernel_id": "4102892"}, {"ref": "maheep27/gradientboostingregressor", "kernel_id": "4175129"}, {"ref": "robynleighsmith/regressorpredict-group5-jhb", "kernel_id": "4096227"}, {"ref": "sihlemtolo/team-12-edsa-johannesburg", "kernel_id": "4069579"}, {"ref": "mondec/kernel4cd8ccb2cb", "kernel_id": "4086862"}, {"ref": "katlegomatebane/kernelstonebone2", "kernel_id": "4070220"}, {"ref": "vanesse/house-prices-model", "kernel_id": "4086439"}, {"ref": "vanesse/fork-of-house-prices-model", "kernel_id": "4097979"}, {"ref": "tahirhar/edsa-team-5-2019", "kernel_id": "4088607"}, {"ref": "aobakwe1/kernel19ab131c4a", "kernel_id": "4058101"}, {"ref": "mangethe/house-prices-advanced-regression-techniques", "kernel_id": "4568717"}, {"ref": "ctrlaltz/final-model", "kernel_id": "4087814"}, {"ref": "misakithecute/edsa-regression-predict", "kernel_id": "4126742"}, {"ref": "thapelo99/kernel8f447a617c", "kernel_id": "4085807"}, {"ref": "samleeuw/kernel8f447a617c", "kernel_id": "4085860"}, {"ref": "samleeuw/kernel0fda5bf1ca-037daa", "kernel_id": "4044177"}, {"ref": "jacobkhoza/edsa-team-03-cpt", "kernel_id": "4084021"}, {"ref": "miyukikitsune/edsa-jhb-team17", "kernel_id": "4088998"}, {"ref": "baerashid/rf-vs-tf", "kernel_id": "4109531"}, {"ref": "mulisabadugela/kernel0fda5bf1ca", "kernel_id": "4043254"}, {"ref": "jkroman2/team9-regression", "kernel_id": "4090087"}, {"ref": "myakayakat/kernel0c073e76ad", "kernel_id": "4089880"}, {"ref": "ashrek/aiden-goodall-ames-regression", "kernel_id": "4085381"}, {"ref": "nakedilets/kerneld1842339ec", "kernel_id": "4001135"}, {"ref": "charlets/edsa-cape-town-team-6", "kernel_id": "4085617"}, {"ref": "vuyokevin/kernel7e90ce96c8", "kernel_id": "4312576"}, {"ref": "belfordation/simple-blueprint-don-t-over-complicate-things", "kernel_id": "4388075"}, {"ref": "jsorens/hierarchical-bayesian-prediction-using-rstan", "kernel_id": "4161567"}, {"ref": "beyers/edsa-team9-houseprices", "kernel_id": "4040132"}, {"ref": "duwiii/kernelcebd8309ed", "kernel_id": "4094568"}, {"ref": "chaddb/edsa-jhb-group-7", "kernel_id": "4087537"}, {"ref": "ziphom/house-prices-prediction", "kernel_id": "4096224"}, {"ref": "vestam/kernelbca906063f", "kernel_id": "4127284"}, {"ref": "tpkampman/edsa-team-18-jhb-house-prices-final-submission", "kernel_id": "4082107"}, {"ref": "jmsimang/house-prices-advanced-techniques-in-regression", "kernel_id": "4090289"}, {"ref": "kimp1995/khutso-mphelo", "kernel_id": "4086667"}, {"ref": "simphiwear/house-price-version", "kernel_id": "4096058"}, {"ref": "choudharyanmol/predict-house-price-by-regression", "kernel_id": "4043153"}, {"ref": "sebastianb12/lasso-regression-from-frankfurt", "kernel_id": "4921053"}, {"ref": "saurabhkotian/housing-price", "kernel_id": "4246882"}, {"ref": "benedictrhodes/ben-s-kernel", "kernel_id": "4067916"}, {"ref": "guidiandrea/regression-with-lasso-and-xgboost", "kernel_id": "4244711"}, {"ref": "atsushiotsubo/kernelc2a4699d7c", "kernel_id": "4538655"}, {"ref": "laqvrai/kernel9de8a9a756", "kernel_id": "4004016"}, {"ref": "krishonaveen/my-first-kaggle-kernel", "kernel_id": "4800129"}, {"ref": "utkukubilay/data-manipulation-eda-and-models", "kernel_id": "4033841"}, {"ref": "akashdeep19/kernel3d67797a1d", "kernel_id": "4877334"}, {"ref": "aini0818/kernel-house-prediction-competition", "kernel_id": "4606955"}, {"ref": "biggunsofmath/kernelb223dd10001", "kernel_id": "4347373"}, {"ref": "mike201905/house-saleprice-prediction-practice", "kernel_id": "4140298"}, {"ref": "kulkarnivishwanath/housing-prices-eda-and-modelling", "kernel_id": "4823018"}, {"ref": "president810/kernele032168143", "kernel_id": "4702537"}, {"ref": "russellmatson/kernel02a072ffeb", "kernel_id": "4713026"}, {"ref": "anastasia484/house-prices-lasso-regression-entry-level", "kernel_id": "4210841"}, {"ref": "nicolasvr/kernel03072a1dec", "kernel_id": "4587799"}, {"ref": "chireia/sad-aula4-regressao-dataset", "kernel_id": "4636615"}, {"ref": "orion12345/kernel7bf1262ae1", "kernel_id": "4385457"}, {"ref": "parthshxh/basic-random-forrest", "kernel_id": "4282471"}, {"ref": "jeffrito/house-price-competition-beginner-attempt", "kernel_id": "4720286"}, {"ref": "markonkaggle/five-choice-ridge-regression", "kernel_id": "4380690"}, {"ref": "markonkaggle/five-choice-model-using-linear-regressions", "kernel_id": "4344321"}, {"ref": "markonkaggle/ridge-regression-with-enumerated-types", "kernel_id": "4483925"}, {"ref": "alperozer/house-pricing-prediction-modelling", "kernel_id": "4798212"}, {"ref": "martinc8/saleprice-prediction", "kernel_id": "4512542"}, {"ref": "ebasantos/regress-o-sem-web-scraping", "kernel_id": "4636638"}, {"ref": "vincenzothaulero/house-pricing-fds-vft", "kernel_id": "4595311"}, {"ref": "mwaldmann/my-first-kernal", "kernel_id": "4550074"}, {"ref": "akaditya149/predicting-house-prices", "kernel_id": "4828938"}, {"ref": "shrikantds1/mlbox-practice-beginner", "kernel_id": "4777192"}, {"ref": "invisibileunit/house-price-regression", "kernel_id": "4548493"}, {"ref": "jpr320/housingpricingpipe", "kernel_id": "4750285"}, {"ref": "mmittal1912/house-pricing-prediction", "kernel_id": "4761737"}, {"ref": "energykingdom/house-prices-advanced-regression-techniques-dsi", "kernel_id": "4932890"}, {"ref": "cyannani123/predicting-house-prices-with-voting-regressor", "kernel_id": "4665617"}, {"ref": "taka0830/housing-prices", "kernel_id": "4702099"}, {"ref": "jolasa/blending-high-scores-top-1-8th-place", "kernel_id": "4984415"}, {"ref": "jolasa/eda-anda-data-preparation-4th-place", "kernel_id": "4866034"}, {"ref": "razanrajab/housekernal", "kernel_id": "4722621"}, {"ref": "aryandec25/beginner-s-guide-to-housing-price-prediction", "kernel_id": "4820772"}, {"ref": "jihedder/boosting-rmsle-using-feature-importance-randomf", "kernel_id": "4693407"}, {"ref": "mromaramri/house-prices", "kernel_id": "4859523"}, {"ref": "mromaramri/house-price-final", "kernel_id": "4928912"}, {"ref": "qiaozhouxiong/detailed-kernel-for-house-price-prediction-with-ml", "kernel_id": "4809550"}, {"ref": "ysjf13/house-price-prediction-stacking-feature-eng", "kernel_id": "4907541"}, {"ref": "systemvaz/house-prices-with-tensorflow-dnn", "kernel_id": "4815421"}, {"ref": "yuukiari/kernel64444d0d71", "kernel_id": "4778332"}, {"ref": "katerina22/housing-price-prediction-kernel", "kernel_id": "4754979"}, {"ref": "ssadaf/house-prices-prediction-top-27", "kernel_id": "4906242"}, {"ref": "suneelpatel/house-price-prediction-regression-model", "kernel_id": "4938907"}, {"ref": "dareenalharthi/kernel52b04eaf9f", "kernel_id": "4923805"}, {"ref": "nicopradi/house-prices", "kernel_id": "4963361"}, {"ref": "hylocean/kernele632ae6f46", "kernel_id": "4968987"}, {"ref": "suprabhat/comprehensive-data-exploration-with-python", "kernel_id": "5683854"}, {"ref": "raghavar4u/house-prices-prediction-data", "kernel_id": "5917913"}, {"ref": "navinkr/kernel597bfa5347", "kernel_id": "5611748"}, {"ref": "priteshshrivastava/ieee-stacking", "kernel_id": "5721635"}, {"ref": "priteshshrivastava/house-prices-simple-stacking-example", "kernel_id": "5589985"}, {"ref": "zongtseng/recipes-caret-caretensemble-xgboost-lasso-svm", "kernel_id": "5049910"}, {"ref": "prongs1810/chirag-s-kernel", "kernel_id": "5864290"}, {"ref": "akshay1thakare/house-prices-solution", "kernel_id": "5305994"}, {"ref": "dmirandaalves/datifying-house-prices", "kernel_id": "5735800"}, {"ref": "dakimoto/house-prices-my-first-submission-eda-to-stacking", "kernel_id": "5514744"}, {"ref": "adisak/house-simple-svr-support-vector-regression", "kernel_id": "5947025"}, {"ref": "allunia/house-prices-tutorial-with-catboost", "kernel_id": "5278946"}, {"ref": "smrutiranjan/a-comprehensive-guide-to-house-price-prediction", "kernel_id": "5751629"}, {"ref": "nipulseervi/house-prices", "kernel_id": "5737713"}, {"ref": "kostdiek/house-prices", "kernel_id": "5948137"}, {"ref": "xaetra/simple-regression-blending-2-models", "kernel_id": "5125222"}, {"ref": "efejiroe/exercise-machine-learning-competitions", "kernel_id": "5600894"}, {"ref": "diliptmonson/eda-modelling-hyperparameter-tuning", "kernel_id": "5217620"}, {"ref": "alexgbg/pipeline-boosting", "kernel_id": "5937275"}, {"ref": "evimarp/house-prices-competition", "kernel_id": "5419676"}, {"ref": "scottyiu/boosted-trees-house-prices", "kernel_id": "5144771"}, {"ref": "scottyiu/random-forest-house-prices", "kernel_id": "5144422"}, {"ref": "scottyiu/lasso-house-prices", "kernel_id": "5145622"}, {"ref": "scottyiu/ridge-regression-house-prices", "kernel_id": "5145800"}, {"ref": "mukesh413/house-price-prediction", "kernel_id": "5749966"}, {"ref": "lucas29liao/geneva-meetup-regression-tutorial", "kernel_id": "5276921"}, {"ref": "eiosifov/non-logarithm-house-pricing-randomforestregressor", "kernel_id": "5105668"}, {"ref": "eiosifov/top-8-without-feature-engineering", "kernel_id": "5640208"}, {"ref": "eiosifov/top-20-with-data-cleaning-only-elasticnet", "kernel_id": "5617385"}, {"ref": "abhishektibrewal/eda-house-prices", "kernel_id": "5635543"}, {"ref": "neha007/forest-cover-type-classification", "kernel_id": "5962325"}, {"ref": "sowbarani/simple-house-price-prediction", "kernel_id": "5548286"}, {"ref": "bombatkarvivek/pyspark-ml-house-prices-v1", "kernel_id": "5519996"}, {"ref": "ouadio/stacked-regressions-for-house-price-prediction", "kernel_id": "5994376"}, {"ref": "ouadio/comprehensive-data-exploration-with-python", "kernel_id": "5992657"}, {"ref": "ouadio/ensemble-model-stacked-model-example", "kernel_id": "5992724"}, {"ref": "vbonnet/house-price-prediction-using-xgboost", "kernel_id": "5984672"}, {"ref": "tuanakka/data-exploration-and-model-prediction", "kernel_id": "5560522"}, {"ref": "nitsmali/housing-proces-eda-ml", "kernel_id": "5120858"}, {"ref": "chmaxx/sklearn-pipeline-playground-for-12-classifiers", "kernel_id": "5815519"}, {"ref": "chmaxx/extensive-data-exploration-modelling-python", "kernel_id": "5905178"}, {"ref": "chmaxx/train-12-regressors-with-just-one-line-of-code", "kernel_id": "5945787"}, {"ref": "chmaxx/slim-data-cleaning-modelling-weighted-ensemble", "kernel_id": "5936197"}, {"ref": "murthycvln/house-prices-submission-r-programming", "kernel_id": "5621527"}, {"ref": "mahsateimourikia/house-price-predictions-comparing-models", "kernel_id": "5443720"}, {"ref": "joemenifee/housing-data-exploratory", "kernel_id": "5030386"}, {"ref": "lmathl/house-prices-prediction-beginner-friendly", "kernel_id": "5156228"}, {"ref": "babu1998/eda-for-beginners-with-in-depth-explaination", "kernel_id": "5472926"}, {"ref": "piethon/comprehensive-data-exploration-with-python", "kernel_id": "5608342"}, {"ref": "rayheberer/bayesian-priors-and-regularization-penalties", "kernel_id": "5116916"}, {"ref": "sanjitschouhan/house-prices-using-nn-tensorflow-2-0", "kernel_id": "5988099"}, {"ref": "pradeepmuniasamy/a-comprehensive-guide-to-house-price-prediction", "kernel_id": "5690919"}, {"ref": "vikumsw/scripting-house-prices-solution", "kernel_id": "5383494"}, {"ref": "vikumsw/house-prices-solution-beginner", "kernel_id": "5107368"}, {"ref": "vikumsw/guide-on-hyperparameter-tuning-using-gridsearchcv", "kernel_id": "5727795"}, {"ref": "anmorgul/kernelf59eb01962", "kernel_id": "5252720"}, {"ref": "scatteredflo/house-price-190912", "kernel_id": "5449096"}, {"ref": "deepak6446/kernelfb548a20d0", "kernel_id": "5035786"}, {"ref": "ahsankhan04/housepricing-advancedregression", "kernel_id": "5626700"}, {"ref": "sandhaya4u/house-price-prediction-model", "kernel_id": "5661132"}, {"ref": "krazygaurav93/housing-price", "kernel_id": "5090530"}, {"ref": "arindam1975/housing-price-estimation", "kernel_id": "5989053"}, {"ref": "bhavikapanara/detailed-feature-engineering-eda", "kernel_id": "5510049"}, {"ref": "bhavikapanara/how-to-detect-an-outlier", "kernel_id": "5336411"}, {"ref": "sklasfeld/housingdataeda-v2", "kernel_id": "5795096"}, {"ref": "sklasfeld/modeling-housing-prices-v1", "kernel_id": "5768817"}, {"ref": "sklasfeld/housingdataeda-v1", "kernel_id": "5554627"}, {"ref": "patilm124/kernel7bf4fb2d69", "kernel_id": "5944582"}, {"ref": "revyung2017/house-prices-regression", "kernel_id": "5952334"}, {"ref": "anirudha16101/data-analysis", "kernel_id": "5086943"}, {"ref": "saifali2998/easiest-kernel-for-everyone-in-python", "kernel_id": "5376469"}, {"ref": "operte/data-analysis-and-feature-engineering-imputation", "kernel_id": "5933024"}, {"ref": "operte/xgboost-optimization", "kernel_id": "5842884"}, {"ref": "mehranrafiee/house-price-regression", "kernel_id": "5054072"}, {"ref": "namgalielei/house-price-first-eda", "kernel_id": "5444971"}, {"ref": "thenewstandard/house-draft-kernal", "kernel_id": "5773339"}, {"ref": "ackshay/kernel6b5099fb7d", "kernel_id": "5513465"}, {"ref": "annalee7/predicting-housing-prices", "kernel_id": "5748678"}, {"ref": "rakin12/house-prices-using-random-forest", "kernel_id": "5664194"}, {"ref": "shanu1988/house-prediction", "kernel_id": "5212928"}, {"ref": "stone4789/regression-pipeline-practice-using-various-models", "kernel_id": "5001888"}, {"ref": "griffinleow/house-prices-advanced-regression", "kernel_id": "5452216"}, {"ref": "amith1986/fork-of-kernel59f44c89dd", "kernel_id": "5906908"}, {"ref": "codesail/boston-explore-regression", "kernel_id": "5782803"}, {"ref": "inubayuaji/predict-house-price", "kernel_id": "5614130"}, {"ref": "lavanyashukla01/picking-the-best-model-a-whirlwind-tour-of-model", "kernel_id": "5697546"}, {"ref": "shaunthesheep/house-prediction-advance-regression-technique", "kernel_id": "5782188"}, {"ref": "josejavierjo/laboratorio-1", "kernel_id": "5362671"}, {"ref": "josejavierjo/laboratorio-2", "kernel_id": "5540993"}, {"ref": "zaaabik/kernel7f8e9cfe84", "kernel_id": "5029984"}, {"ref": "benbeckmann/house-prices-regression-blending", "kernel_id": "5189888"}, {"ref": "nelsongriffiths/thorough-overview-of-machine-learning-regression", "kernel_id": "5058202"}, {"ref": "aj65461/cleaning-housing-data", "kernel_id": "5286608"}, {"ref": "adnanzaidi/basic-tutorial-exploratory-data-analysis", "kernel_id": "5527539"}, {"ref": "a03102030/regression-tree-for-predicting-price", "kernel_id": "5612677"}, {"ref": "rnt0704/housing-price-advanced-regression-techniques", "kernel_id": "5873559"}, {"ref": "mukul1904/house-prices-handle-missing-data", "kernel_id": "5613532"}, {"ref": "mukul1904/house-prices-random-forest-and-xgboost", "kernel_id": "5222133"}, {"ref": "navneearya1994/house-prices-advanced-regression-techniques", "kernel_id": "5845092"}, {"ref": "docsavage/house-prices-from-a-consultant-s-perspective-bus", "kernel_id": "5008668"}, {"ref": "anshulmohil/ensembling-notebook-initial-effort", "kernel_id": "5314226"}, {"ref": "pandadumpling/house-prices-ames-data-exploration", "kernel_id": "5535429"}, {"ref": "khayashima/housingdataeda-v1-kh", "kernel_id": "5711580"}, {"ref": "jadatravu/model-interpretebility-using-lime-houseprice", "kernel_id": "5581766"}, {"ref": "jadatravu/tensorflow-neuralnetwork-houseprice", "kernel_id": "5913302"}, {"ref": "jadatravu/pytorch-neuralnetwork-houseprice", "kernel_id": "5912532"}, {"ref": "ryanholbrook/superlearner-with-mlr", "kernel_id": "5877475"}, {"ref": "gargshriya/houseprices-advanced-regression-techniques", "kernel_id": "5441735"}, {"ref": "josephvm/house-regression-lightgbm", "kernel_id": "5994316"}, {"ref": "ilyani/comprehensive-data-exploration-with-python", "kernel_id": "5889725"}, {"ref": "pavanchalla/regularized-linear-models", "kernel_id": "5699979"}, {"ref": "rajjai3/housepriceprediction-0-03067-rsme", "kernel_id": "5763210"}, {"ref": "oakytree/core-fa19-regression", "kernel_id": "5864954"}, {"ref": "googlemkunthe/house-price-prediction-private", "kernel_id": "5274585"}, {"ref": "googlemkunthe/feature-engineer-s-house-trainig", "kernel_id": "5223885"}, {"ref": "maflodi/laboratorio-2", "kernel_id": "5441012"}, {"ref": "victen/predicting-sale-price-of-houses", "kernel_id": "5735771"}, {"ref": "victen/prediction-sale-price-with-feature-engine", "kernel_id": "5741995"}, {"ref": "dpkagg/kernelf827923e36", "kernel_id": "5162490"}, {"ref": "thrillanalysis/lime-implementation-on-regression-problem", "kernel_id": "5020349"}, {"ref": "thrillanalysis/fastai-implemantation-on-house-price-predication", "kernel_id": "5032272"}, {"ref": "akseersafdar/predicting-house-prices", "kernel_id": "5431225"}, {"ref": "hrbzkm9898/standard-eda-template", "kernel_id": "5647961"}, {"ref": "dinatadros/exercise-machine-learning-competitions", "kernel_id": "5829057"}, {"ref": "jrw2200/ames-housing", "kernel_id": "5363632"}, {"ref": "sonnihs/house-prices", "kernel_id": "5433865"}, {"ref": "rajeevsharma7/python-practice-exercise", "kernel_id": "5860973"}, {"ref": "vishalpentakota/house-pricing-modelling", "kernel_id": "5454782"}, {"ref": "jsvishnuj/data-cleaning-and-k-nearest-neighbors-algorithm", "kernel_id": "5847018"}, {"ref": "howlingwolfs1989/house-prices-advanced-regression-techniques", "kernel_id": "5670613"}, {"ref": "howlingwolfs1989/house-price-advance-regression-prediction-beginner", "kernel_id": "5671491"}, {"ref": "howlingwolfs1989/house-price-advance-regression-keras-beginner", "kernel_id": "5840590"}, {"ref": "coalbear/house-price-advanced-regression", "kernel_id": "5629747"}, {"ref": "anishp15/shineml-tutorial-2", "kernel_id": "5230959"}, {"ref": "venky12347/house-prices-ames-dean-de-cock", "kernel_id": "5783677"}, {"ref": "harithag554/eda-zero-var-step-wise-linear-regression", "kernel_id": "5163075"}, {"ref": "ummarda3/xtreme-gradient-boosting", "kernel_id": "5054276"}, {"ref": "suyashchitnis/housepriceprediction", "kernel_id": "5482230"}, {"ref": "kashif97/kernel704e818156", "kernel_id": "5894214"}, {"ref": "shyambhu/housing-data", "kernel_id": "5279516"}, {"ref": "roshankajulkar/simple-linear-regression", "kernel_id": "5782642"}, {"ref": "thisisjisu/predicting-house-prices-using-tensorflow", "kernel_id": "5725290"}, {"ref": "muellerzr/regression-using-the-fastai-library", "kernel_id": "5085294"}, {"ref": "ironzinc/basic-eda-and-data-processing", "kernel_id": "5909947"}, {"ref": "rafay12/lightgbm-model-crossvalidation", "kernel_id": "5673797"}, {"ref": "ossinova/house-prices-a-beginner-template", "kernel_id": "5565903"}, {"ref": "parmeetsingh12/linear-regression-from-scratch-gradient-descent", "kernel_id": "5745749"}, {"ref": "aris36709/house-prices-a-brief-introduction", "kernel_id": "5698914"}, {"ref": "pbrant/housing-prices-for-kaggle-learn", "kernel_id": "5290617"}, {"ref": "vipulgandhi/house-prices-advanced-regression-techniques", "kernel_id": "5036992"}, {"ref": "cavishek/house-price-prediction", "kernel_id": "5789197"}, {"ref": "konstantinwang/comprehensive-data-exploration-with-python", "kernel_id": "5316347"}, {"ref": "abhi8901/home-price-prediction-using-xgboost", "kernel_id": "5351010"}, {"ref": "abhi8901/kernel364a7746cd", "kernel_id": "5350344"}, {"ref": "redaabdou/house-prices-solution-data-cleaning-ml", "kernel_id": "5171544"}, {"ref": "anan0729/kernel-house-price-preds", "kernel_id": "5097202"}, {"ref": "himaoka/house-simple-gradient-boosting-regression", "kernel_id": "5802499"}, {"ref": "himaoka/house-simple-svr-support-vector-regression", "kernel_id": "5706078"}, {"ref": "himaoka/house-simple-random-forest-regression", "kernel_id": "5207024"}, {"ref": "aithetaichi/house-prices", "kernel_id": "5852523"}, {"ref": "sharathrajmohan/advanced-regression-techniques", "kernel_id": "5628790"}, {"ref": "johndoedeval/house-advanced-ensemble-xgb-random-forest-gbr", "kernel_id": "5211861"}, {"ref": "omfuke123/quick-eda-and-prediction", "kernel_id": "5087827"}, {"ref": "jaylaksh94/eda-feature-engineering-ml-models", "kernel_id": "5771079"}, {"ref": "benumeh/advanced-prediction-of-house-prices-top-8", "kernel_id": "5233550"}, {"ref": "okeaditya/regeression-keras-feedforwardnetwork", "kernel_id": "5542640"}, {"ref": "chopinforest/20190826", "kernel_id": "5524167"}, {"ref": "anjaneyavarma5598/house-prices-prediction", "kernel_id": "5411111"}, {"ref": "cvarun/house-prices-eda-for-beginners", "kernel_id": "5631572"}, {"ref": "srimanth98/data-cleaning-eda-plotly-feat-engg-lasso", "kernel_id": "5027598"}, {"ref": "steveahn/saleprice-eda-feature-e-model-prep", "kernel_id": "5650649"}, {"ref": "mromanelli9/house-prices-complete-solution", "kernel_id": "5222878"}, {"ref": "amitjslearn/a-simple-tutorial-on-exploratory-data-analysis", "kernel_id": "5958053"}, {"ref": "bkid10/house-price-detection", "kernel_id": "5710571"}, {"ref": "dhirajmishra95/house-prices-regression-code", "kernel_id": "5276931"}, {"ref": "cjr95214/kernel73623371e5", "kernel_id": "5218318"}, {"ref": "akashbb/loan-analysis", "kernel_id": "5225283"}, {"ref": "akashbb/house-prediction", "kernel_id": "5686165"}, {"ref": "delta7564/laboratorio-analisis-exploratorio-de-los-datos", "kernel_id": "5378552"}, {"ref": "anupriyababbar/house-price-prediction-data-viz-feature-sel", "kernel_id": "5038485"}, {"ref": "yasmin1/laboratorio1", "kernel_id": "5317937"}, {"ref": "javozuvg/pca-lab1", "kernel_id": "5372142"}, {"ref": "josrodjr/lab-1-ae-clustering-pca-apriori", "kernel_id": "5317976"}, {"ref": "josrodjr/lab-2", "kernel_id": "5506463"}, {"ref": "nvishnuvardhan/kernele032474171", "kernel_id": "5149909"}, {"ref": "abhishek24021996/house-pricing-lasso-ridge", "kernel_id": "5484292"}, {"ref": "anjum786/house-price-prediction-using-stacking", "kernel_id": "5450374"}, {"ref": "anjum786/kernel7985ce827f", "kernel_id": "5436742"}, {"ref": "sawantvishwajeet729/house-price-prediction-2", "kernel_id": "5732945"}, {"ref": "sawantvishwajeet729/house-price-prediction", "kernel_id": "5286293"}, {"ref": "akshitsharma206/stacked-regressions-top-4-on-leaderboard", "kernel_id": "5266148"}, {"ref": "mitsuhiro777/house-prices1", "kernel_id": "5445689"}, {"ref": "enjoyu/top-50-beginners-stacking-lgb-xgb", "kernel_id": "5813647"}, {"ref": "enjoyu/translation-house-prices", "kernel_id": "5902109"}, {"ref": "hyeminoh/with-python-korean-ver", "kernel_id": "5450535"}, {"ref": "hyeminoh/house-prices-for-week-2", "kernel_id": "5815691"}, {"ref": "hyeminoh/house-prices-begginer-top-7-korean-ver", "kernel_id": "5900370"}, {"ref": "jonathan9879/exercise-machine-learning-competitions", "kernel_id": "5353843"}, {"ref": "anshul545/house-prices", "kernel_id": "5896645"}, {"ref": "lejimmy/chapter-02-applying-hands-on-ml-with-scikit-learn", "kernel_id": "5041488"}, {"ref": "nazmun1996/kerneldc07425b95", "kernel_id": "5123946"}, {"ref": "zxcvasdfqwer1234/house-prices", "kernel_id": "5790116"}, {"ref": "arikmitra/eda-regression-techniques", "kernel_id": "5428261"}, {"ref": "paragraf22/house-prices-regression", "kernel_id": "5753921"}, {"ref": "ibrahimmahroum/kernel337e5bd145", "kernel_id": "5404107"}, {"ref": "saahmathworks/houses-prices-with-catboostregressor", "kernel_id": "5827074"}, {"ref": "agajorte/iowa-house-prices-predictive-modeling", "kernel_id": "5714697"}, {"ref": "ashleshaprix/kernel6c8a0cd59c", "kernel_id": "5706027"}, {"ref": "utiancarter/housing-prices-ian", "kernel_id": "5122808"}, {"ref": "stesa87/predicting-house-prices-using-a-stacked-model", "kernel_id": "5573747"}, {"ref": "bahar711/kernel238dd605f7", "kernel_id": "5659543"}, {"ref": "manohar676/bay-to-hyperparameter-tuning-with-gridsearchcv", "kernel_id": "5815043"}, {"ref": "raghuvaranm/housing-prices", "kernel_id": "5852190"}, {"ref": "rohan9889/xgb-lgbm-pipeline-featureengineering-house-price", "kernel_id": "5833729"}, {"ref": "rohan9889/xgboost-lgbm-elasticnet-house-price", "kernel_id": "5795455"}, {"ref": "tacyonlord/housingprices-using-stuff-i-learnt-on-kaggle-learn", "kernel_id": "5383305"}, {"ref": "lukeswalks/housing-prices-lasso-ridge-gradient-boosting", "kernel_id": "5270709"}, {"ref": "lukeswalks/housing-prices-random-forest", "kernel_id": "5270753"}, {"ref": "ahmed4fee/house-price-linear-regression-beginner", "kernel_id": "5056827"}, {"ref": "vusimuzi/comprehensive-data-preprocessing-and-modeling", "kernel_id": "5402046"}, {"ref": "nazeernazeer/house-sold-pricing", "kernel_id": "5185885"}, {"ref": "scientistguro/new-fastai-house-price-prediction-datacleaning", "kernel_id": "5242544"}, {"ref": "amitterse/predict-housing-price", "kernel_id": "5798251"}, {"ref": "cuuuurry/eda-on-houseprice-dealing-with-the-missing-value", "kernel_id": "5831030"}, {"ref": "marlonferrari/houseprice-prediction-xgboost", "kernel_id": "5631713"}, {"ref": "atsuminmin/house-price-dataview", "kernel_id": "5750183"}, {"ref": "pochocosta/exercise-machine-learning-competitions", "kernel_id": "5704850"}, {"ref": "bunnyyy/house-prices", "kernel_id": "5367986"}, {"ref": "georgeheinemann/house-prices-cleaning", "kernel_id": "5213386"}, {"ref": "georgeheinemann/house-prices-regression-regularisation-scaled", "kernel_id": "5271497"}, {"ref": "georgeheinemann/regularisation-xgbregressor-stacked-robust", "kernel_id": "5423901"}, {"ref": "georgeheinemann/regularisation-xgbregressor-stacked", "kernel_id": "5421886"}, {"ref": "sonalisingh1411/exploratory-data-analysis-on-housing-price-data", "kernel_id": "5877728"}, {"ref": "jeevabalanmadhu/house-prices-prediction-adv-regr-techniques", "kernel_id": "5981289"}, {"ref": "jeevabalanmadhu/house-prices-regr-techniques-w-feat-engg", "kernel_id": "5920994"}, {"ref": "jeevabalanmadhu/house-prices-regr-techniques-w-o-feat-engg", "kernel_id": "5920710"}, {"ref": "dilanjan/house-prices-lasso-rf-and-xgboost", "kernel_id": "5559989"}, {"ref": "dilanjan/house-prices-using-catboost", "kernel_id": "5584496"}, {"ref": "thanos239/kernelc303239772", "kernel_id": "5038645"}, {"ref": "takeryu7421/house-prices-about-each-data-in-japanese", "kernel_id": "5802664"}, {"ref": "whatsthevariance/homeprice-mlr-rf", "kernel_id": "5340083"}, {"ref": "kushbhatnagar/first-competition-kernel-house-pricing-prediction", "kernel_id": "5716126"}, {"ref": "varunrocxx/house-price", "kernel_id": "5056790"}, {"ref": "jacekbruzdzinski/house-prices-my-struggles", "kernel_id": "5455677"}, {"ref": "ashishbarvaliya/house-price-feature-engineering", "kernel_id": "5700991"}, {"ref": "ashishbarvaliya/house-price-fillna-strategy", "kernel_id": "5705056"}, {"ref": "ashishbarvaliya/house-price-modeling-xgb-with-gridsearch", "kernel_id": "5770842"}, {"ref": "ashishbarvaliya/house-price-modeling-lightgbm", "kernel_id": "5763943"}, {"ref": "faressayah/outlier-detection-using-pdf-and-z-score", "kernel_id": "5646215"}, {"ref": "faressayah/automatic-hyperparameter-tuning-with-optuna", "kernel_id": "5862378"}, {"ref": "laleeth/house-prices-prediction", "kernel_id": "5510177"}, {"ref": "laleeth/house-pricing-kernal", "kernel_id": "5411211"}, {"ref": "vikassingh1996/extensive-data-preprocessing-and-modeling", "kernel_id": "5335740"}, {"ref": "shalemane/ml-regression-3", "kernel_id": "5190788"}, {"ref": "anologicon/my-house-prices-forecasting-model", "kernel_id": "5552534"}, {"ref": "dsposeidon/exercise-machine-learning-competitions", "kernel_id": "5336690"}, {"ref": "rija124/mondai", "kernel_id": "5852647"}, {"ref": "mahaveer999/welcome-to-data-science-in-r-workbook", "kernel_id": "5796010"}, {"ref": "kongnyooong/house-price-tutorial-for-korean-beginners", "kernel_id": "5981842"}, {"ref": "prasadkevin/exploratory-data-analysis-eda-with-python", "kernel_id": "5326346"}, {"ref": "dzurel/denemeler", "kernel_id": "5936524"}, {"ref": "durgaprasad64/house-predictions-with-ml-models-for-beginners", "kernel_id": "5455833"}, {"ref": "farzadhabibi/house-prices-stacking-feature-selection-eng", "kernel_id": "5033630"}, {"ref": "wrecked22/simple-xgboost-with-feature-engineering-and-eda", "kernel_id": "5701824"}, {"ref": "rahul1394/housing-price-linearregression", "kernel_id": "5528101"}, {"ref": "imoisharma/the-data-scientist-s-toolbox-tutorial-1", "kernel_id": "5477720"}, {"ref": "lou2432499325/kernel3708bc312d", "kernel_id": "5429460"}, {"ref": "tewariaditya03/house-prices-regression", "kernel_id": "5107660"}, {"ref": "aleksandrovich/top-8-ensemble-of-models", "kernel_id": "5601726"}, {"ref": "dianacheung/kernel5147643434", "kernel_id": "5694839"}, {"ref": "alexkhrystoforov/detailed-data-analysis-and-preparation", "kernel_id": "5895662"}, {"ref": "nicopradi/boston-regression-stacked-models", "kernel_id": "5098979"}, {"ref": "sayaniraut02/housing-price-prediction-applying-regression", "kernel_id": "5732526"}, {"ref": "qq853108389/python", "kernel_id": "5031702"}, {"ref": "dataabel/house-prices", "kernel_id": "5297838"}, {"ref": "kalash3103/kernel653b18014d", "kernel_id": "5147845"}, {"ref": "taherana/houseprice", "kernel_id": "5717758"}, {"ref": "mimirock/hose-sale-price-prediction-eda-to-making-baseline", "kernel_id": "5954721"}, {"ref": "adridri/averaging-models-advanced-features-engineering", "kernel_id": "5074512"}, {"ref": "purist1024/a-minimal-baseline-26-lines-top-17", "kernel_id": "5444956"}, {"ref": "pkhosravi/dnn-regressor-model-to-predict-housing-prices", "kernel_id": "5811392"}, {"ref": "vijaygiitk/housing-prices-linearregression-xgboost", "kernel_id": "5519470"}, {"ref": "alex1204/house-prices-random-forest-regression", "kernel_id": "5476348"}, {"ref": "alex1204/house-prices-eda-feature-selection", "kernel_id": "5484344"}, {"ref": "alex1204/house-prices-regression-ridge", "kernel_id": "5589543"}, {"ref": "ostrowsky/kernel29cc9c4756", "kernel_id": "5195265"}, {"ref": "eliasgreen/house-price-final", "kernel_id": "5741977"}, {"ref": "choithuthoi/houseprice-build-base-ipynb", "kernel_id": "5961670"}, {"ref": "seanchen607/house-prices-ensemble-7models", "kernel_id": "5218048"}, {"ref": "seanchen607/house-prices-randomforest", "kernel_id": "5257031"}, {"ref": "krishna5555/house-price", "kernel_id": "5333125"}, {"ref": "vlasovsergei/predict-house-prices-v1", "kernel_id": "5298985"}, {"ref": "okiane/house-prices", "kernel_id": "5860168"}, {"ref": "bbpatil/kernel45510a3e58", "kernel_id": "5792422"}, {"ref": "ryoyamanouchi/kernel6ed2ad3026", "kernel_id": "5482519"}, {"ref": "junyeong00/finding-your-files-in-kaggle-kernels", "kernel_id": "5942564"}, {"ref": "chaisameboy/kernel128266707a", "kernel_id": "5931446"}, {"ref": "chaisameboy/kernel2bf47a591d", "kernel_id": "5763635"}, {"ref": "cjporteo/house-pricing-elasticnet-ridge-lasso-xgb-top-7", "kernel_id": "5666134"}, {"ref": "andreagarritano/house-prices-gradient-boosting-regression", "kernel_id": "5816391"}, {"ref": "eguegu/house-prices", "kernel_id": "5652139"}, {"ref": "starngu1/kernel1a1aa47c33", "kernel_id": "5881317"}, {"ref": "shourabhpayal/predict-housing-price-and-improve-model", "kernel_id": "5933647"}, {"ref": "slahiripsu/kernelf3e15672a9", "kernel_id": "5962882"}, {"ref": "salemeng1/stacked-regressions-top-4-on-leaderboard", "kernel_id": "5911136"}, {"ref": "idasss/kernel4fed077932", "kernel_id": "5924114"}, {"ref": "ozhuhem/code-for", "kernel_id": "5911360"}, {"ref": "devkhant24/house-price-prediction", "kernel_id": "5827899"}, {"ref": "ch1pless/core-fa19-regression", "kernel_id": "5865218"}, {"ref": "tmrmr783/kernel4ca207ec55", "kernel_id": "5805678"}, {"ref": "jyotigangwar29/house-price-advance-regression-learning", "kernel_id": "5975278"}, {"ref": "hatorix/houseprices-1-0-20", "kernel_id": "5993624"}, {"ref": "romovpa/vgtu-lecture-2-housing-prices", "kernel_id": "6387150"}, {"ref": "scottolson/kernel553389fe41", "kernel_id": "6438543"}, {"ref": "yuqingxue/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "6718603"}, {"ref": "yuqingxue/comprehensive-data-exploration-with-python", "kernel_id": "6691915"}, {"ref": "alosat/house-prices-in-python", "kernel_id": "6788890"}, {"ref": "kingmbc/stacked-regressions-top-4-on-leaderboard", "kernel_id": "6740949"}, {"ref": "jpmiller/skmem", "kernel_id": "6074949"}, {"ref": "adityamangal410/exploratory-analysis", "kernel_id": "6512808"}, {"ref": "adityamangal410/keras-models", "kernel_id": "6898743"}, {"ref": "adityamangal410/tidymodels-data-preparation", "kernel_id": "6898309"}, {"ref": "adisak/houseprice-random-forest-adaboost-xgboost", "kernel_id": "6141350"}, {"ref": "adisak/kaggle-submission-tutorial", "kernel_id": "6015813"}, {"ref": "nmud19/condidence-intervals-ols-and-lightgbm", "kernel_id": "6875947"}, {"ref": "hanisunr/rcw001", "kernel_id": "6331934"}, {"ref": "sasamos/lightgbm", "kernel_id": "6612179"}, {"ref": "terrycheng/house-prices-eda-and-predictions", "kernel_id": "6216440"}, {"ref": "terrycheng/house-prices-prediction-nn-model", "kernel_id": "6400183"}, {"ref": "jjbuchanan/housing-prices-test-submission", "kernel_id": "6651251"}, {"ref": "atunanggara/ames-housing-inspired-by-serigne", "kernel_id": "6616901"}, {"ref": "ruch19/welcome-to-data-science-in-r-workbook", "kernel_id": "6881284"}, {"ref": "rakhi1/house-price-prediction", "kernel_id": "6720079"}, {"ref": "rbizoi/eda-feature-selection-outliers-multiple-models", "kernel_id": "6821059"}, {"ref": "chameleontk/house-prices", "kernel_id": "6564400"}, {"ref": "jagannathrk/house-prices-stacked-regressions", "kernel_id": "6835349"}, {"ref": "isaienkov/keras-nn-with-embeddings-for-cat-features-fe", "kernel_id": "6933496"}, {"ref": "manjeetsingh/house-pricing-problems-inverting-log-transform", "kernel_id": "6705820"}, {"ref": "cketant/housing-prices-newbie-edition", "kernel_id": "6422558"}, {"ref": "ruthwik/fork-of-real-estate", "kernel_id": "6049750"}, {"ref": "sarthakpawar/basic-feature-engineering-and-lgbmr", "kernel_id": "6291449"}, {"ref": "youfar/kernel-lr", "kernel_id": "6026605"}, {"ref": "youfar/kernel-baseline", "kernel_id": "6064910"}, {"ref": "chmaxx/train-12-classifiers-with-one-line-of-code", "kernel_id": "6077992"}, {"ref": "hoangnguyen719/null-imputation", "kernel_id": "6651401"}, {"ref": "jatinbalodhi/house-prediction-using-pipeline-sklearn", "kernel_id": "6934321"}, {"ref": "jopepato/data-analysis", "kernel_id": "6230502"}, {"ref": "jsadhi05/part-1-exploratory-data-analysis", "kernel_id": "6568129"}, {"ref": "abhijit5594/xgboost", "kernel_id": "6044771"}, {"ref": "alafan/house-prices-alafan-advanced", "kernel_id": "6239097"}, {"ref": "adithyakag/house-prices", "kernel_id": "6560922"}, {"ref": "saranyashalya/e2e-advanced-regression-analysis-model-stacking", "kernel_id": "6619788"}, {"ref": "lucabasa/understand-and-use-a-pipeline", "kernel_id": "6026273"}, {"ref": "lucabasa/houseprice-end-to-end-project", "kernel_id": "6200097"}, {"ref": "prabhat003/detailed-exploratory-data-analysis-with-python", "kernel_id": "6308653"}, {"ref": "yuxuanatnl/housing-price-prediction", "kernel_id": "6432805"}, {"ref": "xaxipirulazo/precios-de-la-vivienda-machine-learning-espa-ol", "kernel_id": "6457846"}, {"ref": "danielto/the-most-important-step-to-predict-house-prices", "kernel_id": "6453182"}, {"ref": "hiratasanches/house-prices-introductory-solution", "kernel_id": "6713818"}, {"ref": "chunleiliu/lasso", "kernel_id": "6378062"}, {"ref": "dgthomas/svm-regression", "kernel_id": "6035701"}, {"ref": "kitakoj18/custom-imputer-class", "kernel_id": "6050089"}, {"ref": "zosimovaa/house-prices-eda2", "kernel_id": "6960270"}, {"ref": "zosimovaa/houses-prices-with-model-blending-top-6", "kernel_id": "6944149"}, {"ref": "franadek/house-price-advanced-regression", "kernel_id": "6847118"}, {"ref": "akiraishii/house-price-4", "kernel_id": "6215705"}, {"ref": "simaabamir/house-prices-play-ground", "kernel_id": "6091618"}, {"ref": "sth4nothing/kernel23b5469a16", "kernel_id": "6655770"}, {"ref": "rdenadai/house-prices-advanced-regression-techniques", "kernel_id": "6390227"}, {"ref": "rdenadai/house-prices-advanced-regression-techniques-2", "kernel_id": "6411271"}, {"ref": "hansama/what-s-so-interesting-about-this", "kernel_id": "6800899"}, {"ref": "gopalsingh5/housing-prices-using-fastai", "kernel_id": "6371082"}, {"ref": "moazmagdy/advanced-eda-on-ames-housing-prices-prediction", "kernel_id": "6853917"}, {"ref": "pierrea/complete-data-exploration-and-ridge-regression", "kernel_id": "6268426"}, {"ref": "leelamani/housing-prices", "kernel_id": "6782710"}, {"ref": "sravanroy/kernel283d6e7054", "kernel_id": "6825028"}, {"ref": "amneves/xgboost-regressor-with-random-search-hypertuning", "kernel_id": "6590233"}, {"ref": "singhsatwinder/house-price-predictions-using-advanced-regression", "kernel_id": "6634080"}, {"ref": "kuroironeko/pipeline-base", "kernel_id": "6593083"}, {"ref": "demon041/sales-price-prediction", "kernel_id": "6603554"}, {"ref": "marloz/sklearn-pipelines-missing-values", "kernel_id": "6216042"}, {"ref": "servietsky/house-prices-voting-stacking-and-belnding", "kernel_id": "6814966"}, {"ref": "kfkabdg/ohe-bct-xgb", "kernel_id": "6775722"}, {"ref": "panditdandgule/house-prices-advanced-regression-techniques", "kernel_id": "6747242"}, {"ref": "khayashima/modeling-housing-prices-xgboost-bayesian-opt", "kernel_id": "6142223"}, {"ref": "guidosalimbeni/random-forest-regressor", "kernel_id": "6418613"}, {"ref": "jianxihuang/stacking", "kernel_id": "6973314"}, {"ref": "joaquinmoreno/second-take-on-house-price-small-outlier-fix", "kernel_id": "6353699"}, {"ref": "joaquinmoreno/third-take-on-house-prices-part-2", "kernel_id": "6460853"}, {"ref": "joaquinmoreno/second-take-on-house-price-prediction", "kernel_id": "6019689"}, {"ref": "jaikip/kernel188737c63e", "kernel_id": "6778204"}, {"ref": "gessd1250/team-test", "kernel_id": "6474215"}, {"ref": "kadappumoni/wtmkaggleworkshop", "kernel_id": "6943367"}, {"ref": "mahmoudsamm0ur/mas2-house-prices-advanced-regression-techniques", "kernel_id": "6041838"}, {"ref": "ahauglie/hw1-kaggle-competition-submission-haugliealicia", "kernel_id": "6046277"}, {"ref": "ahauglie/ds301-lab5-haugliealicia", "kernel_id": "6151841"}, {"ref": "mtruehle/maxruehle-sumbission2-lab6", "kernel_id": "6265840"}, {"ref": "mtruehle/max-ruehle-submission-hw1", "kernel_id": "6115707"}, {"ref": "pizaxxx/data-science-301-v5", "kernel_id": "6095169"}, {"ref": "mjb627/hw1-ds301", "kernel_id": "6016566"}, {"ref": "mjb627/ds301-lab5", "kernel_id": "6151751"}, {"ref": "grantruedy/houseprice-lab5", "kernel_id": "6152497"}, {"ref": "grantruedy/lab5-xgb", "kernel_id": "6167042"}, {"ref": "grantruedy/hw1-grant-ruedy", "kernel_id": "6046087"}, {"ref": "andrewsundberg/ds301-hw1-sundberg", "kernel_id": "6046083"}, {"ref": "andrewsundberg/lab5-andrewsundberg", "kernel_id": "6151835"}, {"ref": "africkel/ds-301-lab-5-allegra-frickel", "kernel_id": "6151800"}, {"ref": "africkel/ds-301-ally-frickel-hw-1", "kernel_id": "6046370"}, {"ref": "h843836717/ds301-hw1-kaggle-competition-submission", "kernel_id": "6114065"}, {"ref": "h843836717/lab5-randomforest-adaboost-xgboost-houseprice", "kernel_id": "6271502"}, {"ref": "struik/regression-for-house-price-estimation", "kernel_id": "6625872"}, {"ref": "curtis0982/1-house-prices-solution-top-1", "kernel_id": "6585596"}, {"ref": "shiffy46/kernelea87b3a7be", "kernel_id": "6219994"}, {"ref": "shiffy46/housing-price-first-try", "kernel_id": "6032323"}, {"ref": "kjtg790/house-price-prediction-using-advanced-regression", "kernel_id": "6122222"}, {"ref": "nehamangal/kernel32a8e85d68", "kernel_id": "6058927"}, {"ref": "antoniocpaulo/houseprices-xgboost-regression-approach", "kernel_id": "6598103"}, {"ref": "antoniocpaulo/what-works-and-what-doesn-t-house-prices", "kernel_id": "6488474"}, {"ref": "robgol/housing-predict-0-14760", "kernel_id": "6624039"}, {"ref": "hellbuoy/house-price-prediction", "kernel_id": "6194067"}, {"ref": "bgmello/advanced-ml-nn-stacking", "kernel_id": "6520858"}, {"ref": "offirinbar/house-pricing", "kernel_id": "6159857"}, {"ref": "arturgaier/process-for-house-price-prediction", "kernel_id": "6121383"}, {"ref": "ayush51379/my-1st-kaggle-participation-public", "kernel_id": "6375067"}, {"ref": "beagleears/houseprice-random-forest-adaboost-xgboost-custom", "kernel_id": "6151798"}, {"ref": "beagleears/kernel69bf0dac4a", "kernel_id": "6046059"}, {"ref": "pravinborate/house-price-prediction", "kernel_id": "6645961"}, {"ref": "gauravanenthusiast/xgb-prediction-model", "kernel_id": "6396879"}, {"ref": "kumarv78/kumarv78-kaggle-002", "kernel_id": "6028904"}, {"ref": "rajspd/a-simple-approach-to-predicting-house-price-0-137", "kernel_id": "6334907"}, {"ref": "rajspd/houseprice-to-the-point-approach-scoring-0-11792", "kernel_id": "6543482"}, {"ref": "michaelhayden/ames-iowa-with-single-csv-upload-vs-train-test", "kernel_id": "6937857"}, {"ref": "riyazpasha9/house-price-prediction", "kernel_id": "6813096"}, {"ref": "mswieton/2019-11-03-house-prices-eda-xgboost", "kernel_id": "6486809"}, {"ref": "reidtc/kernel-ridge", "kernel_id": "6787140"}, {"ref": "goalkeeperfyc/house-prices-using-keras", "kernel_id": "6338954"}, {"ref": "adarshbiradar/regularized-linear-models", "kernel_id": "6309664"}, {"ref": "murugesh1407/house-prices-adv-regression-techniques", "kernel_id": "6906830"}, {"ref": "murugesh1407/house-prices-xgboost", "kernel_id": "6907885"}, {"ref": "mashlyn/first-quick-eda", "kernel_id": "6943948"}, {"ref": "yasirhoque/predicting-house-prices", "kernel_id": "6204795"}, {"ref": "manish1984/data-analysis-preprocessing-and-price-prediction", "kernel_id": "6201328"}, {"ref": "martin1234567890/knnregression-from-scratch-in-numpy", "kernel_id": "6477821"}, {"ref": "poltigo/house-prices-prediction-with-fastai", "kernel_id": "6603210"}, {"ref": "rajnirmal028/house-price-prediction", "kernel_id": "6903204"}, {"ref": "walterbraga/testing-beginner-stuff", "kernel_id": "6064146"}, {"ref": "tanzy96/ames-housing-notebook", "kernel_id": "6540785"}, {"ref": "hexiangzhang/ds301-lab5", "kernel_id": "6267366"}, {"ref": "hexiangzhang/kaggle-submission-tutorial", "kernel_id": "6061089"}, {"ref": "tawilkie/kernel59e15e2576", "kernel_id": "6114400"}, {"ref": "rakesh835/housing-price-prediction-regression", "kernel_id": "6189886"}, {"ref": "cvarun/houseprice-adv-regression-explained-eda-visuals", "kernel_id": "6788441"}, {"ref": "praneshsaminathan/houserentprediction", "kernel_id": "6352172"}, {"ref": "deeprajbasu/house-price-r", "kernel_id": "6498434"}, {"ref": "scpitt/comprehensive-eda-and-stacked-regression-model", "kernel_id": "6601359"}, {"ref": "manimannu/house-prices-lasso-lasting", "kernel_id": "6388098"}, {"ref": "efriesth/randomforest-adaboost-xgboost-friestheric", "kernel_id": "6151855"}, {"ref": "ysung96/decision-trees", "kernel_id": "6151812"}, {"ref": "ysung96/final-submission-yealim-sung", "kernel_id": "6077610"}, {"ref": "whiskeybear/base-line-xgb-randomsearch", "kernel_id": "6544283"}, {"ref": "kawakeee/house-prices-lasso", "kernel_id": "6203722"}, {"ref": "chaerink/house-price-estimation", "kernel_id": "6388199"}, {"ref": "chaerink/houseprice-top-30-super-simple", "kernel_id": "6736706"}, {"ref": "chaerink/housepriceestimation-v2", "kernel_id": "6603498"}, {"ref": "ayoubabozer/top-19-explained-weighted-house-price-prediction", "kernel_id": "6542458"}, {"ref": "wwdbsh/feature-engineering-house-prices", "kernel_id": "6583825"}, {"ref": "johnwill225/extensive-exploratory-data-analysis", "kernel_id": "6645929"}, {"ref": "johnwill225/1-deep-visualization-data-processing", "kernel_id": "6769437"}, {"ref": "pratirup/house-price-prediction", "kernel_id": "6804679"}, {"ref": "assulthoni/stacked-regressions-top-4-on-leaderboard", "kernel_id": "6266302"}, {"ref": "binaicrai/hppred", "kernel_id": "6920668"}, {"ref": "binaicrai/simple-analysis-using-gb", "kernel_id": "6943465"}, {"ref": "rprtr258/house-prices-advanced-regression-techniques", "kernel_id": "6810924"}, {"ref": "mehtanaman/kernel-naman-houseprice", "kernel_id": "6131635"}, {"ref": "dannydoeslight/houseprices-regression-cv-models-ensembles-nn", "kernel_id": "6698248"}, {"ref": "saga21/house-prices-in-depth-feature-engineering-xgb", "kernel_id": "6946049"}, {"ref": "prashant268/house-price-prediction-advanced-regression", "kernel_id": "6543707"}, {"ref": "shreyaskale/2-houseprices", "kernel_id": "6307808"}, {"ref": "devvret/automl-tables-tutorial-notebook", "kernel_id": "6509091"}, {"ref": "utsavpatel51/house-price", "kernel_id": "6534625"}, {"ref": "billynguyen/simple-ensemble-model", "kernel_id": "6079835"}, {"ref": "billynguyen/ml-basic-with-python", "kernel_id": "6423656"}, {"ref": "cetin95/price-house-prediction", "kernel_id": "6260890"}, {"ref": "avelinocaio/house-prices-complete-guide", "kernel_id": "6952790"}, {"ref": "shin02/japanese-simple-xgboost", "kernel_id": "6313362"}, {"ref": "taskone/final-house-pricing", "kernel_id": "6527724"}, {"ref": "man72331/predicting-house-sale-price", "kernel_id": "6501205"}, {"ref": "seraphwedd18/regression-keras", "kernel_id": "6348422"}, {"ref": "seraphwedd18/regression-ml-with-keras", "kernel_id": "6411790"}, {"ref": "garaujo10/boston-housing", "kernel_id": "6003141"}, {"ref": "stratvz/house-prices", "kernel_id": "6820263"}, {"ref": "moesmatheus/house-prices-comp", "kernel_id": "6344385"}, {"ref": "adminadmin1/house-prices-prediction-competition1", "kernel_id": "6624038"}, {"ref": "adminadmin1/house-price-prediction-v2", "kernel_id": "6722788"}, {"ref": "dtscnr/housing-r", "kernel_id": "6420905"}, {"ref": "ccasile/housing-submission", "kernel_id": "6928745"}, {"ref": "ajersovs/housing-prices-stacked-boosters", "kernel_id": "6013163"}, {"ref": "zhiminsunsun/house-price-prediction", "kernel_id": "6674994"}, {"ref": "brunogolei/kernel6a1531073b", "kernel_id": "6807138"}, {"ref": "shikhar721/house-prediction-regression", "kernel_id": "6956255"}, {"ref": "jiegao1995/first-kernel", "kernel_id": "6241995"}, {"ref": "catqaq/house-prices-top-3-0-10647-stacking", "kernel_id": "6959663"}, {"ref": "akshaypaliwal709/housing-prices", "kernel_id": "6187269"}, {"ref": "dave004/kernel1934bf1640", "kernel_id": "6019526"}, {"ref": "drcapa/house-prices-eda-feature-enginneering-xgb", "kernel_id": "6555780"}, {"ref": "meherms/kernelc159e0a723", "kernel_id": "6914361"}, {"ref": "ajaygopal/house-price-ridge-and-lasso", "kernel_id": "6664787"}, {"ref": "thduik/kernel8f6ade76c3", "kernel_id": "6275748"}, {"ref": "faressayah/data-science-best-practices-with-pandas-part-1", "kernel_id": "6064038"}, {"ref": "alexd321/predict-housing-prices", "kernel_id": "6151364"}, {"ref": "alexd321/fork-of-predict-housing-prices", "kernel_id": "6325164"}, {"ref": "mmmarchetti/house-prices-regression-models", "kernel_id": "6433616"}, {"ref": "mahaveer999/kernel65f8eeda73", "kernel_id": "6165023"}, {"ref": "averkij/top-eda-blending-russian", "kernel_id": "6745474"}, {"ref": "ezzaldin6/predicting-house-prices", "kernel_id": "6468684"}, {"ref": "neelvasani/house-price", "kernel_id": "6926575"}, {"ref": "swinalmeshram/house-price-predictions-datacleaning-ml", "kernel_id": "6546690"}, {"ref": "ozhsu23/version3", "kernel_id": "6394178"}, {"ref": "chandinig/kernel5863408434", "kernel_id": "6023335"}, {"ref": "shombeet/kernel24137cc355", "kernel_id": "6851004"}, {"ref": "sanjaysuthraye96/beginner-level", "kernel_id": "6467651"}, {"ref": "ankitbansal2101/linear-regression", "kernel_id": "6487277"}, {"ref": "nandandutta/predicting-house-saleprice", "kernel_id": "6681078"}, {"ref": "dsauradeep/stacked-regression-using-lasso-krr-enet-xgb-li", "kernel_id": "6145770"}, {"ref": "jcsantiago/house-prices-model-selection-with-caret", "kernel_id": "6011157"}, {"ref": "manjotpahwa/housing-prices-simple-linear-regression", "kernel_id": "6678020"}, {"ref": "talong123/housing-prices-eda-ml", "kernel_id": "6540154"}, {"ref": "hma2022/kernelbb47aaf6e5", "kernel_id": "6487010"}, {"ref": "seblim/kernel50ffec1ec1", "kernel_id": "6071028"}, {"ref": "zahidfaiz/linear-regression-from-scratch-gradient-descent", "kernel_id": "6416675"}, {"ref": "abigcleverdog/house-price-prediction", "kernel_id": "6487282"}, {"ref": "rajgupta5/house-price-prediction", "kernel_id": "6996682"}, {"ref": "cuijamm/hous-price-predictions-score-0-11657", "kernel_id": "6010795"}, {"ref": "mrboupp/3th-submission", "kernel_id": "6348813"}, {"ref": "mrboupp/version-1-of-house-prices-my-second-submission", "kernel_id": "6337798"}, {"ref": "umang5916/comparing-different-models-for-house-pricing", "kernel_id": "6711242"}, {"ref": "umang5916/house-pricing", "kernel_id": "6557437"}, {"ref": "dskagglemt/house-prices-prediction", "kernel_id": "6754363"}, {"ref": "kajolg/house-sales-prediction-using-regression-techniques", "kernel_id": "6946557"}, {"ref": "erincee97/house-prices-improvements-learning", "kernel_id": "6478910"}, {"ref": "shunsukebiodatsci19/kernel-houce-price", "kernel_id": "6288074"}, {"ref": "snehac47/house-price-prediction-ridge-lasso-regression", "kernel_id": "6015745"}, {"ref": "mohamedabdullah/from-data-exploration-to-model-building", "kernel_id": "6792932"}, {"ref": "uttam94/house-prices-prediction", "kernel_id": "6841449"}, {"ref": "fedi1996/house-prices-data-cleaning-viz-and-modeling", "kernel_id": "6573501"}, {"ref": "somykamble/h2o-r-regression", "kernel_id": "6310299"}, {"ref": "bwilsonkg/column-statistics", "kernel_id": "6037481"}, {"ref": "ankit323/house-price-prediction", "kernel_id": "6635942"}, {"ref": "zainabsohail/basic-tutorial-exploratory-data-analysis", "kernel_id": "6920022"}, {"ref": "panida1995/hw1-house-prices-advanced-regression-techniques", "kernel_id": "6075066"}, {"ref": "kavinder31phogat/final", "kernel_id": "6441409"}, {"ref": "tamyiuchau/andyy-analysis", "kernel_id": "6598127"}, {"ref": "thomasschafer97/keras-house-prices", "kernel_id": "6050747"}, {"ref": "golion/dsf-2", "kernel_id": "6182082"}, {"ref": "shefaas/project-1-sarah", "kernel_id": "6713763"}, {"ref": "kingnguyen/nguyenthanhhoangking-housepriceregression", "kernel_id": "6791234"}, {"ref": "cweida111/lab5-weida-v2", "kernel_id": "6255264"}, {"ref": "cweida111/lab-5-weida", "kernel_id": "6151773"}, {"ref": "supervanya/using-random-forest-regressor-to-predict-prices", "kernel_id": "6778410"}, {"ref": "neelm18/multi-linear-regression", "kernel_id": "6482246"}, {"ref": "vaishnavtapan/kernel-lr-test", "kernel_id": "6254676"}, {"ref": "harshitha157/kernel36502aec2c", "kernel_id": "6208737"}, {"ref": "rookie0417/mark2-house-price-predict", "kernel_id": "6513635"}, {"ref": "i02302/kernel-lr-i02302", "kernel_id": "6052658"}, {"ref": "i02302/kernel-baseline-i02302", "kernel_id": "6158803"}, {"ref": "jyotigangwar29/house-price-advance-regression-2-0", "kernel_id": "6084163"}, {"ref": "hatorix/houseprices-3-016123", "kernel_id": "6024122"}, {"ref": "hatorix/houseprices-2-0161", "kernel_id": "6020158"}, {"ref": "hatorix/houseprices-4-013243", "kernel_id": "6040097"}, {"ref": "mogado/linear-regreesion-and-score-after-data-prepared", "kernel_id": "6656994"}, {"ref": "kathryndaniele/lassocv-model-house-prices-advanced-reg", "kernel_id": "6005076"}, {"ref": "merysweet/stacked-regressions-top-4-on-leaderboard", "kernel_id": "6211586"}, {"ref": "akishen74/house-price-pred", "kernel_id": "6042312"}, {"ref": "dkdkernel/house-prices-sciomagelab", "kernel_id": "6013283"}, {"ref": "haochengmei/hw-03-new-meihhaocheng", "kernel_id": "6222754"}, {"ref": "barrygujiguji/barry-s-house-price", "kernel_id": "6239441"}, {"ref": "eulersoic/kunyi-li-hw3", "kernel_id": "6253800"}, {"ref": "trevorbirchall/first-housing-price-kaggle-top-13", "kernel_id": "6458664"}, {"ref": "tk628496/kernel-lr-kd", "kernel_id": "6254469"}, {"ref": "panchathimahesh4280/machine-learning-project-in-python-on-house-prices", "kernel_id": "6803126"}, {"ref": "peterahlstrom/house-prices-competition", "kernel_id": "6135517"}, {"ref": "snatarajan6/linearregression", "kernel_id": "6051655"}, {"ref": "mrigangka1998/housing-price-predictions", "kernel_id": "6487644"}, {"ref": "alexandreverept/my-first-kaggle-work", "kernel_id": "6698523"}, {"ref": "claudiapr/lasso-model", "kernel_id": "6170205"}, {"ref": "suhasrao/house-pricing-randomforest", "kernel_id": "6498830"}, {"ref": "zanin259/house-prices", "kernel_id": "6292406"}, {"ref": "sonyahaan2/sonya-haan-hw-1-ds-301", "kernel_id": "6046376"}, {"ref": "sonyahaan2/sonya-haan-lab-5-ds-301", "kernel_id": "6237892"}, {"ref": "jessiehwang9/ds301-lab5-1", "kernel_id": "6263511"}, {"ref": "jessiehwang9/lab5-dsds", "kernel_id": "6267931"}, {"ref": "jessiehwang9/house-price-hw1", "kernel_id": "6112089"}, {"ref": "victoriavolokhina/house-prices-blend-models", "kernel_id": "6325748"}, {"ref": "bhavikjain/house-price-regression", "kernel_id": "6244022"}, {"ref": "venkatmurali336/my-first-kernel-on-house-price-regressions", "kernel_id": "6076331"}, {"ref": "ankitlodha511/kernel70b482036c", "kernel_id": "6859979"}, {"ref": "horiyu1234/kernel589ef4aa4d", "kernel_id": "6430230"}, {"ref": "bilalyussef/tba-team-dsi-v", "kernel_id": "6488818"}, {"ref": "oalharb0/house-pricing-project", "kernel_id": "6489117"}, {"ref": "jt1215/house-price-jiaqi", "kernel_id": "6169688"}, {"ref": "usermina/house-price-serious", "kernel_id": "6438521"}, {"ref": "mzoonalwalmani/project2-part1", "kernel_id": "6414036"}, {"ref": "falloutfire/simple-linear-regression-example", "kernel_id": "6433941"}, {"ref": "nhiguchi/kernel-lr-nhiguchi", "kernel_id": "6254471"}, {"ref": "akash4320/house-price", "kernel_id": "6245214"}, {"ref": "xadiatariq/basic-tutorial-exploratory-data-analysis", "kernel_id": "6926939"}, {"ref": "ushakothagorla/kernel7ee6c9db65", "kernel_id": "6208895"}, {"ref": "xiongmouw/kernel5862019b6d", "kernel_id": "6501314"}, {"ref": "pushkala/kernel42e3595039", "kernel_id": "6208944"}, {"ref": "swetharayapudi1234/kernel2fdc7b245e", "kernel_id": "6208868"}, {"ref": "nithish2/house-prices", "kernel_id": "6188357"}, {"ref": "nithish2/house-prices-analysis", "kernel_id": "6187802"}, {"ref": "sreebhavya/kernelcb3437e32b", "kernel_id": "6208702"}, {"ref": "bhavyasri3103/kernel2f6063046c", "kernel_id": "6208788"}, {"ref": "vinithagrandhi/kernel699f50c662", "kernel_id": "6227623"}, {"ref": "leesuiping/pipeline-xgb", "kernel_id": "6627422"}, {"ref": "kl170030027/kernel9f76c23766", "kernel_id": "6208699"}, {"ref": "bharathraghu/kernel75f4c37f1d", "kernel_id": "6303749"}, {"ref": "sridevikakarla/kernel7b56e8d867", "kernel_id": "6209160"}, {"ref": "phanenkov/algorithms", "kernel_id": "6491851"}, {"ref": "brodiaga/kernel6a98d9987a", "kernel_id": "6248777"}, {"ref": "diegojohnson/7-lines-of-code-to-reach-6th-place", "kernel_id": "6759888"}, {"ref": "andylivan/house-price", "kernel_id": "6864768"}, {"ref": "dinashilibekova/kernel1cef96b26c", "kernel_id": "6318464"}, {"ref": "sahananarayan/kernel413c486b5d", "kernel_id": "6303846"}, {"ref": "pavel1988/stacked-regressions", "kernel_id": "6860135"}, {"ref": "arturasmackunas/machine-learning-1st-task", "kernel_id": "6386865"}, {"ref": "gexinyu/kernel7ee1f19e22", "kernel_id": "6593860"}, {"ref": "abeersha/project-2-1", "kernel_id": "6542670"}, {"ref": "mohammadqahtani/p2-kaggle-competition-house-prices", "kernel_id": "6486817"}, {"ref": "yazeidalqahtani/project2-part1", "kernel_id": "6487774"}, {"ref": "yazeidalqahtani/housing-price", "kernel_id": "6488999"}, {"ref": "faisalalshuraym/kernel3545679489", "kernel_id": "6418200"}, {"ref": "robinrichards/kernel61f064965c", "kernel_id": "6841519"}, {"ref": "elcorazonzhao/house-prices-model", "kernel_id": "6555149"}, {"ref": "krisnikitiuk/kernel48ce4c962c", "kernel_id": "6792808"}, {"ref": "shangyh/new-bb1-data-preprocessing-model", "kernel_id": "6593928"}, {"ref": "eneritzfernandez/my-first-competition-v2", "kernel_id": "6566526"}, {"ref": "priyankabnl/housing-prices-solved-simple-way", "kernel_id": "6927914"}, {"ref": "salmanmj/house-pricing-by-advanced-regression-techniques", "kernel_id": "6762008"}, {"ref": "alangarrickbercero/house-prices", "kernel_id": "6703077"}, {"ref": "neerjajhingan/house-price-beginners-comprehensive-eda", "kernel_id": "6767914"}, {"ref": "michealson/kernel556bf96b86", "kernel_id": "6632499"}, {"ref": "eduardooo/house-prices-regression", "kernel_id": "6684636"}, {"ref": "katsuragitetsuya/house-price", "kernel_id": "6974177"}, {"ref": "mvarrone/pmds-kaggle-1-full", "kernel_id": "6711301"}, {"ref": "sasidharturaga/ensemble-methods-using-various-gbms", "kernel_id": "6958560"}, {"ref": "amuellerml/ames-housing-visualization-with-dabl", "kernel_id": "7690433"}, {"ref": "paulopcpl/house-prices-project-part-1-feature-engineering", "kernel_id": "7865892"}, {"ref": "parulpandey/useful-python-libraries-for-data-science", "kernel_id": "7838924"}, {"ref": "yavin4four/jkhancockfirstattempt", "kernel_id": "7038978"}, {"ref": "dnandan/kernel4f907d64ed", "kernel_id": "7654941"}, {"ref": "edwardarubin/ec524-shrinkage", "kernel_id": "7863363"}, {"ref": "edwardarubin/ec524-cross-validation", "kernel_id": "7663880"}, {"ref": "edwardarubin/ec524-lecture-003", "kernel_id": "7627587"}, {"ref": "rsesha/autoviml-autonlp-on-titanic-demo-kernel", "kernel_id": "7163587"}, {"ref": "atulverma/house-prices-adv-reg", "kernel_id": "7109118"}, {"ref": "memousami/kernel50497cea8e", "kernel_id": "7658570"}, {"ref": "wernerechezuria/house-prices-3", "kernel_id": "7411165"}, {"ref": "gpreda/house-prices-prediction", "kernel_id": "7795926"}, {"ref": "zagarsuren/house-price-baseline-mlub-linearmodel", "kernel_id": "7592390"}, {"ref": "zeetsing/a-simple-first-solution-for-house-prices", "kernel_id": "7448087"}, {"ref": "regonn/bigquery-ml-auto-ml-in-japanese", "kernel_id": "7191375"}, {"ref": "teonew/sample-notebook-for-weeklyml", "kernel_id": "7659409"}, {"ref": "mayurjain/bootstrapping-on-house-price-prediction", "kernel_id": "7753371"}, {"ref": "hyang1985/houseprice-prediction-by-hy", "kernel_id": "7444051"}, {"ref": "ekholme/tidymodels-exploration", "kernel_id": "7709323"}, {"ref": "grapestone5321/house-prices-sample-submission", "kernel_id": "7047559"}, {"ref": "ronakc/eda-feature-engineering-model-selection-tutorial", "kernel_id": "7959617"}, {"ref": "elfouly/fastai-house-prices", "kernel_id": "7683007"}, {"ref": "ahhjones/house-price-regression", "kernel_id": "7758785"}, {"ref": "teddycrepineau/house-prices-stacked-ensemble-model", "kernel_id": "7627485"}, {"ref": "jacckashakash/build-my-house", "kernel_id": "7209276"}, {"ref": "mnassrib/prediction-of-house-prices", "kernel_id": "7402535"}, {"ref": "shubham1992/house-price-regression-analysis-using-pca", "kernel_id": "7007474"}, {"ref": "lefthou/housing-price-prediction", "kernel_id": "7925626"}, {"ref": "zosimovaa/houses-prices-with-lasso-top-8", "kernel_id": "7217409"}, {"ref": "lorenzopagliaro01/models-with-xgboost-zero-to-hero", "kernel_id": "7578825"}, {"ref": "padmarajg/house-price-solution", "kernel_id": "7869662"}, {"ref": "buin6319/house-price-regression-meta-ensemble-top-10", "kernel_id": "7726190"}, {"ref": "ramorel/predicting-house-prices-using-tidymodels", "kernel_id": "7834225"}, {"ref": "ritwickf2/eda-encoding-and-blending", "kernel_id": "7277063"}, {"ref": "risabbiswas19/ensembling-for-regression-top-6-on-lb", "kernel_id": "7395265"}, {"ref": "kevingeorgejoe/comprehensive-data-exploration-with-python", "kernel_id": "7548078"}, {"ref": "hrshtporwal5/houseprice-prediction", "kernel_id": "7612202"}, {"ref": "nalaorum/house-price-preprocessing", "kernel_id": "7167799"}, {"ref": "smriti21/house-price-predictor", "kernel_id": "7249306"}, {"ref": "vbmokin/universal-eda-fe-prediction", "kernel_id": "7593070"}, {"ref": "thufh2017/fork-of-kernel7e083ecd69-dc491b", "kernel_id": "7997735"}, {"ref": "justinaskazanavicius/housepricesjk", "kernel_id": "7873202"}, {"ref": "amarlove/house-price-prediction", "kernel_id": "7947704"}, {"ref": "jatinhabibkar/house-price-predication-linearregression", "kernel_id": "7159475"}, {"ref": "guanwenw/house-prices-best", "kernel_id": "7919748"}, {"ref": "guanwenw/kernel1a99cdae31", "kernel_id": "7922713"}, {"ref": "guanwenw/kernel20b2679213", "kernel_id": "7805156"}, {"ref": "chaitanyamadaka/a-detailed-regression-guide-with-house-pricing", "kernel_id": "7808690"}, {"ref": "chaitanyamadaka/comprehensive-data-exploration-with-python", "kernel_id": "7741006"}, {"ref": "prashant111/comprehensive-guide-on-feature-selection", "kernel_id": "7797138"}, {"ref": "nahumsa/housing-prices-using-tensorflow-2-0", "kernel_id": "7680187"}, {"ref": "gundamb2/house-prices-kernel", "kernel_id": "7382971"}, {"ref": "raseidi/house-prices-in-a-few-steps", "kernel_id": "7758216"}, {"ref": "ashish2070/house-price-prediction", "kernel_id": "7730648"}, {"ref": "ssaketh97/house-pricing-ann", "kernel_id": "7367033"}, {"ref": "ngalex8/kernel39dd653949", "kernel_id": "7059022"}, {"ref": "gabrielmilan/ames-iowa-house-prices", "kernel_id": "7759070"}, {"ref": "shivaprakashranga/houseprices", "kernel_id": "7341355"}, {"ref": "mustaffxx/house-prices-just-a-simple-kernel", "kernel_id": "7394813"}, {"ref": "sherkt1/advanced-housing-prices", "kernel_id": "7440311"}, {"ref": "mixtek/house-prices-xgb-reg-refactored", "kernel_id": "7231634"}, {"ref": "cdefreitas/hello-spark-ml", "kernel_id": "7690360"}, {"ref": "fchretien/improving-the-interpretability-prediction-tradeoff", "kernel_id": "7360133"}, {"ref": "mariapushkareva/house-prices-advanced-regression-techniques", "kernel_id": "7962104"}, {"ref": "thiagodma/thiagodantasdemoraesalmeida-sabino", "kernel_id": "7959116"}, {"ref": "phani528/house-price-some-of-regression-models", "kernel_id": "7673739"}, {"ref": "shakeebbk/housing-prices-advanced-regression", "kernel_id": "7430017"}, {"ref": "ims0rry/7-lines-of-code-to-reach-41st-place-forked", "kernel_id": "7488163"}, {"ref": "guaishow/neural-network", "kernel_id": "7752489"}, {"ref": "shjang123/house-price-report", "kernel_id": "7508308"}, {"ref": "anilkay/houseprizecomp", "kernel_id": "7136797"}, {"ref": "simhashourya/house-prices-advanced-regression-with-comments", "kernel_id": "7386100"}, {"ref": "kanchankumar/random-forest-model", "kernel_id": "7065925"}, {"ref": "srinivasav22/advanced-stacked-regressions-top-4", "kernel_id": "7196730"}, {"ref": "shizenkenmae/house-prices", "kernel_id": "7319209"}, {"ref": "mswieton/2019-12-13-house-prices-xgboost", "kernel_id": "7036210"}, {"ref": "saxarchit/houses-price", "kernel_id": "7208852"}, {"ref": "timgibson/house-prices-dry-pipeline-code", "kernel_id": "7690772"}, {"ref": "daniaragaki/using-h2o-automl-to-predict-housing-prices", "kernel_id": "7275198"}, {"ref": "parikshitbangde/house-prices", "kernel_id": "7026941"}, {"ref": "princekaushik/house-price-prediction", "kernel_id": "7725736"}, {"ref": "ramsukh/housedata-regression", "kernel_id": "7252910"}, {"ref": "harsh1347/house-prediction-starter-code", "kernel_id": "7092299"}, {"ref": "vicarious11/comprehensive-eda-with-regression-techniques", "kernel_id": "7507402"}, {"ref": "ricsam/imputing-missing-data-with-the-mice-package-in-r", "kernel_id": "7165830"}, {"ref": "pnidhi26/house-price-prediction-advance-regression", "kernel_id": "7719233"}, {"ref": "voodoojanus/lab-1-31-20", "kernel_id": "7763070"}, {"ref": "kshitizregmi/advanced-regression-techniques-house-prices", "kernel_id": "7752696"}, {"ref": "anaryegen/eda-and-predictions", "kernel_id": "7509212"}, {"ref": "buttersmark/houseprice-randforest", "kernel_id": "7720001"}, {"ref": "cvarun/simple-analysis-of-house-prices-competition", "kernel_id": "7783211"}, {"ref": "smritisingh1997/house-price-prediction-using-random-forest", "kernel_id": "7648969"}, {"ref": "uoojin95/intuitive-eda-to-modeling", "kernel_id": "7894802"}, {"ref": "javierespinozat/kaggle-competition-house-prices-advanced-regress", "kernel_id": "7923158"}, {"ref": "chaerink/hard-coding-linear-regression-from-scratch", "kernel_id": "7132986"}, {"ref": "shubhambaghel/house-price-prediction-using-ensamble-learning", "kernel_id": "7415872"}, {"ref": "vtaquet/house-prices-dataset-eda-and-regression-modelling", "kernel_id": "7472138"}, {"ref": "vaibhavsxn/house-price-predictions-using-pca", "kernel_id": "7612961"}, {"ref": "nicoisaverage/predict-housing-prices-quick-n-dirty", "kernel_id": "7580404"}, {"ref": "srinwaynti/housing-prices", "kernel_id": "7324923"}, {"ref": "daksh15/kernel1d568b2516", "kernel_id": "7473796"}, {"ref": "pielgrin/notebook-house-prices", "kernel_id": "7435841"}, {"ref": "guidant/top20-houseprices-eda-outlierremoval-enet-automl", "kernel_id": "7989164"}, {"ref": "markkim92/house-price", "kernel_id": "7255213"}, {"ref": "officialyuro/house-price-prediction-2019", "kernel_id": "7315807"}, {"ref": "corehz/kernel6d1af9e82a", "kernel_id": "7603728"}, {"ref": "datajang/house-price-ver-1", "kernel_id": "7612632"}, {"ref": "smagh777/kernel651a531f62", "kernel_id": "7734928"}, {"ref": "aqsaqadir22/housing-prediction", "kernel_id": "7971821"}, {"ref": "iamhungundji/house-price-lasso-regression", "kernel_id": "7871037"}, {"ref": "shrey821/linear-regression-from-scratch-gradient-descent", "kernel_id": "7578639"}, {"ref": "bakerwill764/statistics-end-semester-project", "kernel_id": "7044296"}, {"ref": "aaroha33/house-price-prediction", "kernel_id": "7296608"}, {"ref": "lucca9211/house-price-advance-regression", "kernel_id": "7828865"}, {"ref": "amypeniston/house-prices-eda-essentials-for-beginners", "kernel_id": "7836132"}, {"ref": "rangeshsripathi/housingprice", "kernel_id": "7162822"}, {"ref": "jashabanta/beginner-house-price-prediction", "kernel_id": "7403271"}, {"ref": "japanese910/variables-selection", "kernel_id": "7812898"}, {"ref": "businessanalyticsmba/preparing-a-competition-submission-file-in-r", "kernel_id": "7032803"}, {"ref": "maheshmlg/housing-prices-advanced-regression-techniques", "kernel_id": "7811606"}, {"ref": "gautamgupta1811/kernel537f0e0910", "kernel_id": "7252822"}, {"ref": "faressayah/practical-introduction-to-10-regression-algorithm", "kernel_id": "7133279"}, {"ref": "uzairahmed1996/glm-gbm-and-xgboost", "kernel_id": "7298786"}, {"ref": "vijayapurani/house-pricing", "kernel_id": "7408332"}, {"ref": "sangeeta97/home-price-random-feature", "kernel_id": "7633963"}, {"ref": "sagara9595/house-price-pred-using-lasso", "kernel_id": "7044175"}, {"ref": "jennlsmith/random-forest-attempt", "kernel_id": "7744695"}, {"ref": "mahaveer999/kernel190e7e2b7f", "kernel_id": "7544904"}, {"ref": "gauthampughazh/house-sales-price-prediction-svr", "kernel_id": "7812584"}, {"ref": "mehdislim01/top-17-for-beginners-detailed-illustration", "kernel_id": "7577762"}, {"ref": "ahammedjaleel/house-price-for-deployment", "kernel_id": "7521739"}, {"ref": "ahammedjaleel/price-prediction-top-14-boosting-stacking", "kernel_id": "7051037"}, {"ref": "guipodtouch/2model", "kernel_id": "7024931"}, {"ref": "alinedebenath/most-important-features-of-house-prices-analysis", "kernel_id": "7771304"}, {"ref": "mukeshmeena/house-prices-regression-techniques", "kernel_id": "7274908"}, {"ref": "mukeshmeena/kaggle-home-price-compitition", "kernel_id": "7558569"}, {"ref": "arifali77/the-data-scientist-s-toolbox-tutorial-1", "kernel_id": "7370529"}, {"ref": "moon2002/house-prices-regression", "kernel_id": "7373519"}, {"ref": "anushakarthik1991/housing2", "kernel_id": "7780722"}, {"ref": "branislave/housing-prices-first-model", "kernel_id": "7191092"}, {"ref": "vmsg0569/housepricepracticeregression", "kernel_id": "7938282"}, {"ref": "reighns/general-learning-linear-regression-from-scratch", "kernel_id": "7871139"}, {"ref": "khyati2019/house-pricing-advanced-regression-eda", "kernel_id": "7819684"}, {"ref": "debdeepdey/eda-ridge-lasso-regression", "kernel_id": "7340544"}, {"ref": "namandave/housing-price-prediction", "kernel_id": "7221877"}, {"ref": "vrn729/kaggle-session-ii-webclub-reg-linear-regression", "kernel_id": "7548049"}, {"ref": "vrn729/kaggle-session-ii-webclub-practice", "kernel_id": "7548317"}, {"ref": "vrn729/kaggle-session-ii-webclub-eda", "kernel_id": "7558750"}, {"ref": "alamjane61/house-price", "kernel_id": "7098981"}, {"ref": "znamensky/house-price-prediction-with-catboost", "kernel_id": "7667682"}, {"ref": "znamensky/xgboost-for-beginners", "kernel_id": "7383159"}, {"ref": "amirahalsulami/example-submission", "kernel_id": "7097295"}, {"ref": "mcarujo/house-prices-regression", "kernel_id": "7709216"}, {"ref": "stephenkyima/kernel-houseprices-prediction-fromd2l", "kernel_id": "7555139"}, {"ref": "sabya40/house-pricing", "kernel_id": "7175862"}, {"ref": "bbpatil/fork-of-kernel741c025683-e08de8", "kernel_id": "7398627"}, {"ref": "bbpatil/kernel741c025683", "kernel_id": "7383431"}, {"ref": "shivrajthutte/house-prices-advanced-regression-techniques", "kernel_id": "7781283"}, {"ref": "gatunnopvp/house-prices-data-cleaneda-feat-eng-and-emsemble", "kernel_id": "7188396"}, {"ref": "nidhi139/surprise-housing-lasso-and-ridge-technique", "kernel_id": "7689048"}, {"ref": "tyamini553/house-prices-advanced-regression-techniques", "kernel_id": "7827002"}, {"ref": "mascck/comprehensive-data-exploration-with-python", "kernel_id": "7241645"}, {"ref": "tarunkumar323/advance-regression-house-data", "kernel_id": "7141187"}, {"ref": "iamrohitsingh/house-prices-visualization-prediction", "kernel_id": "7032402"}, {"ref": "namanj27/top-2-advanced-regression-house-prices", "kernel_id": "7165581"}, {"ref": "shubhamsarafo/house-reg", "kernel_id": "7885007"}, {"ref": "soumil99/house-pricing-analysis-r", "kernel_id": "7251654"}, {"ref": "brunocu/introductory-regression-espa-ol", "kernel_id": "7818059"}, {"ref": "bespalov/houseprice", "kernel_id": "7114712"}, {"ref": "bespalov/housepriceprod3", "kernel_id": "7202982"}, {"ref": "bespalov/housepriceprod", "kernel_id": "7161761"}, {"ref": "bespalov/houseprice3", "kernel_id": "7161150"}, {"ref": "bespalov/housepriceprod2", "kernel_id": "7197994"}, {"ref": "rookie0417/step-4-data-preprocess-and-feature-engineering", "kernel_id": "7764429"}, {"ref": "rookie0417/step3-handling-the-missing-values", "kernel_id": "7713004"}, {"ref": "rookie0417/step2-data-visualization-and-eda", "kernel_id": "7813121"}, {"ref": "immu0001/advanced-regression-using-stacking", "kernel_id": "7700482"}, {"ref": "pjrenzov/first-try", "kernel_id": "7530753"}, {"ref": "sidhlko/house-price-analysis", "kernel_id": "7638744"}, {"ref": "aksha17/house-prices-solution-eda-regression", "kernel_id": "7374321"}, {"ref": "mrbord30/simple-linear-regression-example", "kernel_id": "7622740"}, {"ref": "nickteim/house-prices-1", "kernel_id": "7227751"}, {"ref": "seungyoon6/simple-prediction-ridge-svr-xgb-and-eda", "kernel_id": "7893049"}, {"ref": "peterahlstrom/house-price-competition-fastai", "kernel_id": "7608166"}, {"ref": "sarthak55k/house-prices", "kernel_id": "7923638"}, {"ref": "joelpires/house-price-prediction", "kernel_id": "7231387"}, {"ref": "morenovanton/predict-house-prices-advanced-regression", "kernel_id": "7483733"}, {"ref": "adegladius/house-prices-prediction-a-simple-xgb-regressor", "kernel_id": "7886613"}, {"ref": "purnachandsaladi/linear-regression-on-houseprices-data", "kernel_id": "7114496"}, {"ref": "hs999518/sale-price-regression", "kernel_id": "7094524"}, {"ref": "chaitanyaravi/kernel765484ce5d", "kernel_id": "7048980"}, {"ref": "syedbabaralishah/predicting-house-prices-with-machine-learning", "kernel_id": "7620755"}, {"ref": "pranaiyadav/adv-house-sales", "kernel_id": "7599964"}, {"ref": "idolaspecus/2nd-submission", "kernel_id": "7049187"}, {"ref": "idolaspecus/2nd-submission2", "kernel_id": "7077152"}, {"ref": "mayurjajoo/housing-prices-regression-ml-for-beginners", "kernel_id": "7015826"}, {"ref": "olya7890/housepricepred", "kernel_id": "7627189"}, {"ref": "jaikiranpedadads/housing-price-prediction", "kernel_id": "7218522"}, {"ref": "chandansitlani/h-price-pred", "kernel_id": "7131740"}, {"ref": "koralturkk/mice-impute-multicollinearity-handling-ensemble", "kernel_id": "7003896"}, {"ref": "katsu18/houseprice", "kernel_id": "7224633"}, {"ref": "yoursakash/a-house-pred", "kernel_id": "7769313"}, {"ref": "hpchreseson/house-prices-regression", "kernel_id": "7610605"}, {"ref": "felipeapgarcia/house-prices-analysis", "kernel_id": "7530960"}, {"ref": "hoangvpham/an-experiment-on-the-house-price-dataset", "kernel_id": "7284098"}, {"ref": "anki112279/predicting-house-prices", "kernel_id": "7167227"}, {"ref": "alangarrickbercero/house-price-xgbregressor", "kernel_id": "7605076"}, {"ref": "jasonrutherford/house-price-with-different-regression-algorithms", "kernel_id": "7143230"}, {"ref": "guldenyildirim/house-price-reg", "kernel_id": "7069089"}, {"ref": "mercychepkoech/linear-regression-tensorflow-house-predictions", "kernel_id": "7559362"}, {"ref": "jamlee2333/jam-stacked-regressions", "kernel_id": "7061444"}, {"ref": "wenjuanxie/predict-house-price-by-regression", "kernel_id": "7218058"}, {"ref": "volodymyrholomb/house-prices-predicting-nas-and-clustering", "kernel_id": "7850216"}, {"ref": "sglee487/house-prices-keras-w-object-mapping", "kernel_id": "7883811"}, {"ref": "locbachelot/housing", "kernel_id": "7017669"}, {"ref": "fkdplc/house-price-regression-using-catboost", "kernel_id": "7828818"}, {"ref": "wwagner4/houseprice-random-forrest", "kernel_id": "7686474"}, {"ref": "eon0708/kernel75749837e0", "kernel_id": "7416684"}, {"ref": "denizdizi/house-prices-advanced-regression-techniques", "kernel_id": "7125942"}, {"ref": "kangseongkim/follow-good-kernel-titled-house-prices-eda", "kernel_id": "7966897"}, {"ref": "hansjoerg/glmnet-xgboost-and-svm-using-tidymodels", "kernel_id": "7543648"}, {"ref": "kaysonyuan/stacking", "kernel_id": "7806368"}, {"ref": "harpreetkaurmahant/house-price-data-exploration-with-python", "kernel_id": "7700257"}, {"ref": "kartikkadian/comprehensive-data-exploration-with-python", "kernel_id": "7752531"}, {"ref": "syzymon/housing-prices-quick-eda", "kernel_id": "7933686"}, {"ref": "avisheknayak/houses", "kernel_id": "7305602"}, {"ref": "kenshinakamura/house-prices", "kernel_id": "7926853"}, {"ref": "desiininja/neural-network-model-for-house-prices-tensorflow", "kernel_id": "7292662"}, {"ref": "evelynchin/house-prices-advanced-regression", "kernel_id": "7666106"}, {"ref": "jskimkorea/house-price-practice", "kernel_id": "7765142"}, {"ref": "jskimkorea/house-price-practice-i-m-beginner-en-kr", "kernel_id": "7796845"}, {"ref": "mdmahmudferdous/house-prices-advanced-regression-techniques", "kernel_id": "7243011"}, {"ref": "puchakayalahemanjili/stacked-regressions-top-4-on-leaderboard", "kernel_id": "7891406"}, {"ref": "aashi20/housepriceprediction", "kernel_id": "7433919"}, {"ref": "saeedasadi/kernel6bca96ee39", "kernel_id": "7730282"}, {"ref": "saraahmadimajd/house-price", "kernel_id": "7726183"}, {"ref": "fireballbyedimyrnmom/regression", "kernel_id": "7695445"}, {"ref": "kostyamoshkin/simple-house-pricing-prediction", "kernel_id": "7767553"}, {"ref": "mahsimaderakhshani/kernel709c027471", "kernel_id": "7761808"}, {"ref": "murilorodrigues/house-price-prediction-test", "kernel_id": "7500207"}, {"ref": "syedhaiderrabbas/comprehensive-data-exploration-with-python", "kernel_id": "7597531"}, {"ref": "agsam23/houses-to-tanmay", "kernel_id": "7697664"}, {"ref": "eupatoria/ames-housing-prices", "kernel_id": "7747191"}, {"ref": "ryuichioka/ec524-shrinkage", "kernel_id": "7964141"}, {"ref": "ryuichioka/ec524-cross-validation", "kernel_id": "7760382"}, {"ref": "michaelwagnon/ec524-cross-validation-5093fa", "kernel_id": "7838154"}, {"ref": "beccaamodeo/ramodeo-ec524-shrinkage", "kernel_id": "7892763"}, {"ref": "salvatorepg/ec524-cross-validation", "kernel_id": "7837005"}, {"ref": "tarang025/house-prices-regression-t", "kernel_id": "7600116"}, {"ref": "sharontlin/melbourne-housing-data", "kernel_id": "7489063"}, {"ref": "phylake1337/housing-prices", "kernel_id": "7704706"}, {"ref": "kennblee/kernel565e4ee37b", "kernel_id": "7801983"}, {"ref": "seregagrudachev/randomforest", "kernel_id": "7835576"}, {"ref": "issactai/linear-regression-models-on-ames-housing-dataset", "kernel_id": "7590743"}, {"ref": "outinimehdi/house-prices-regression-xgboosting-top-17", "kernel_id": "7859582"}, {"ref": "qianghan/house-price", "kernel_id": "7716437"}, {"ref": "peterhogya/housing-regression-2", "kernel_id": "7905028"}, {"ref": "biswarupray/advanced-house-prices-pipelining", "kernel_id": "7814497"}, {"ref": "aiwale/kernel59b1bde77e", "kernel_id": "7770522"}, {"ref": "shirleysix690/kernel6c531b441c", "kernel_id": "7833859"}, {"ref": "learneranushka/kernel6ea75c5e57", "kernel_id": "7831946"}, {"ref": "andrewmende/dataanalysis-for-pm", "kernel_id": "7898536"}, {"ref": "akhiljalan20/regression-for-housing-prices", "kernel_id": "7866678"}, {"ref": "ajigle/kernel171c4f6534", "kernel_id": "7946175"}, {"ref": "swapnilpote/eda-housing-price-prediction", "kernel_id": "8947773"}, {"ref": "aaron35/house-price", "kernel_id": "8505023"}, {"ref": "valerydanilik/ensembles-hw-vd", "kernel_id": "8634727"}, {"ref": "carlosilva/house-price-prediction", "kernel_id": "8191574"}, {"ref": "duccao/outlier-treatment", "kernel_id": "8493975"}, {"ref": "mohitsital/for-starters-learn-data-cleaning-and-imputation", "kernel_id": "8491299"}, {"ref": "chriscrunch/comprehensive-data-exploration-with-python", "kernel_id": "8156294"}, {"ref": "rubben/kernel7e73b2292d", "kernel_id": "8764568"}, {"ref": "abirpattnaik/house-pricing-eda-modelling", "kernel_id": "8930570"}, {"ref": "susree64/house-prices-prediction-svm-model", "kernel_id": "8750795"}, {"ref": "susree64/house-price-prediction-linear-regression-model", "kernel_id": "8869991"}, {"ref": "rodolfomendes/scalling-attributes-with-normalization-and-standar", "kernel_id": "8373910"}, {"ref": "ashishgupta1992/houses-prices-dataset", "kernel_id": "8294437"}, {"ref": "gary92/salesprice-exploration", "kernel_id": "8795315"}, {"ref": "shreekant009/house-price-prediction", "kernel_id": "8096541"}, {"ref": "nayonika/house-pricing-regression-problem", "kernel_id": "8994939"}, {"ref": "vissu27/house-sale-price-prediction", "kernel_id": "8308090"}, {"ref": "pratsiuk/mlflow-experiment-automation-top-9", "kernel_id": "8287255"}, {"ref": "lordak/house-prices-beginner", "kernel_id": "8237054"}, {"ref": "streed07/house-prices", "kernel_id": "8503016"}, {"ref": "nabrarpour4/kernel1deaca7e90", "kernel_id": "8131186"}, {"ref": "ianchute/piecewise-regression-using-pyearth", "kernel_id": "8127282"}, {"ref": "koushikdeb/linear-regression-from-scratch-gradient-descent", "kernel_id": "8003752"}, {"ref": "takenotabi/house-prices-ai-booster-sample-homework", "kernel_id": "8006200"}, {"ref": "djohn8/house-prices-prediction", "kernel_id": "8606150"}, {"ref": "siklinator/housing-top-5-with-r-ensemble-caretensemble", "kernel_id": "8000151"}, {"ref": "willsputra/willsputra-house", "kernel_id": "8747906"}, {"ref": "aravindonline/kernel3b1d2aed3b", "kernel_id": "8363042"}, {"ref": "scatteredflo/ds-study-stastics-200417", "kernel_id": "8972253"}, {"ref": "dromosys/easy-prediction-using-lightgbm-model", "kernel_id": "8141432"}, {"ref": "ar2017/house-price-prediction-systematic-eda", "kernel_id": "8943307"}, {"ref": "shaitender/ensembles", "kernel_id": "8977245"}, {"ref": "mayankb703/welcome-to-data-science-in-r-workbook", "kernel_id": "8526844"}, {"ref": "oleanns/final", "kernel_id": "8409112"}, {"ref": "afraakbas/house-price-prediction", "kernel_id": "8324219"}, {"ref": "cs145442/linear-regression-with-tensorflow-v2", "kernel_id": "8923086"}, {"ref": "dannellyz/basic-feature-selection-and-model-building", "kernel_id": "8619374"}, {"ref": "monset/housepricing", "kernel_id": "8032948"}, {"ref": "ozgurb/house-price-v3", "kernel_id": "8080929"}, {"ref": "rubenmmarques/house-pricing-dataset-eda-and-ml-for-beginners", "kernel_id": "8768533"}, {"ref": "raivokoot/house-price-regression", "kernel_id": "8367030"}, {"ref": "funxexcel/house-prices-basic-regression-model-with-pipeline", "kernel_id": "8212014"}, {"ref": "funxexcel/house-prices-solution-with-gboost-pipeline", "kernel_id": "8213045"}, {"ref": "gfesta/house-prices-votingregressor", "kernel_id": "8684873"}, {"ref": "gfesta/house-prices-data-preparation-and-1st-model", "kernel_id": "8473335"}, {"ref": "drewipson/visualize-training-data-public", "kernel_id": "8792957"}, {"ref": "eyyeung/housing-price-prediction-eda-regression", "kernel_id": "8134537"}, {"ref": "padmarajg/house-price-count-encoding-and-simple-imputer", "kernel_id": "8071139"}, {"ref": "pavansanagapati/tracing-covid19-spread-across-europe-us", "kernel_id": "8716485"}, {"ref": "ranita91/27-mar", "kernel_id": "8606768"}, {"ref": "shailyroy/house-prices-lasso-xgboost-and-a-detailed-eda", "kernel_id": "8725015"}, {"ref": "shailyroy/a-detailed-regression-guide-with-house-pricing", "kernel_id": "8725820"}, {"ref": "shailyroy/house-price-some-of-regression-models", "kernel_id": "8725913"}, {"ref": "shailyroy/house-prices-advanced-regression-techniques", "kernel_id": "8725717"}, {"ref": "diamondsnake/house-prices", "kernel_id": "8997319"}, {"ref": "dinasinclair/basic-random-forest-pipeline-housing-prices", "kernel_id": "8776807"}, {"ref": "dinasinclair/deep-learning-with-keras-housing-prices", "kernel_id": "8777579"}, {"ref": "dinasinclair/xgboost-tuning-tutorial-housing-prices", "kernel_id": "8834702"}, {"ref": "sishihara/upura-tutorial-kaggle-house-prices-with-lightgbm", "kernel_id": "8259562"}, {"ref": "saketsaurav20/housefastai", "kernel_id": "8180573"}, {"ref": "ismail19/house-prices", "kernel_id": "8893580"}, {"ref": "futurehendrix/house-prices", "kernel_id": "8403230"}, {"ref": "chocozzz/missing-value-imputation-and-model-interpretation", "kernel_id": "8509079"}, {"ref": "raafaa/kernel4ebcabb26c", "kernel_id": "8376729"}, {"ref": "rominamir/comprehensive-data-exploration-and-modeling", "kernel_id": "8344834"}, {"ref": "danielzou/housing-prices-tf-dnn", "kernel_id": "8536413"}, {"ref": "shank885/house-prices-advanced-regression-techniques", "kernel_id": "8113571"}, {"ref": "ulzhan/final-house-prices", "kernel_id": "8366784"}, {"ref": "sleepybatman42/house-prices-advance-regression-techniques", "kernel_id": "8275789"}, {"ref": "nibukdk93/housing-prices-prediction", "kernel_id": "8439182"}, {"ref": "tks3210/house-prise", "kernel_id": "8702162"}, {"ref": "mdjuberrahman/dictvectorizer-and-pipeline-for-xgboost", "kernel_id": "8819455"}, {"ref": "dtamming/house-prices", "kernel_id": "8180493"}, {"ref": "rahayi/cleaning-and-random-forest-model", "kernel_id": "8916523"}, {"ref": "shiva20/house-prices-xgboost", "kernel_id": "8112131"}, {"ref": "goldens/data-preparation-with-python", "kernel_id": "8103577"}, {"ref": "goldens/data-preparation-with-r", "kernel_id": "8141241"}, {"ref": "jaimin09/simplest-way-to-reach-top-25-from-bottom-25", "kernel_id": "8692071"}, {"ref": "parthiv6672/house-price-prediction-test-data", "kernel_id": "8762447"}, {"ref": "parthiv6672/house-price-prediction-train-data", "kernel_id": "8697496"}, {"ref": "gabrieltamayo/simple-lasso-ridge-and-dbscan-outliers", "kernel_id": "8082469"}, {"ref": "adishrao/house-price-prediction", "kernel_id": "8567430"}, {"ref": "jagdmir/house-price-prediction-eda-modelling", "kernel_id": "8229302"}, {"ref": "gulshanroy/house-prices-advanced-regression-techniques", "kernel_id": "8654203"}, {"ref": "ssatagop/house-price-prediction-my-first-work", "kernel_id": "8080520"}, {"ref": "salmaeng/house-prices-lasso-xgboost-and-a-detailed-eda", "kernel_id": "8984371"}, {"ref": "kakashikonoha/house-price-eda", "kernel_id": "8125313"}, {"ref": "baghlafturki/house-prices-prediction", "kernel_id": "8659516"}, {"ref": "darkside92/detailed-examination-for-house-price-top-10", "kernel_id": "8869064"}, {"ref": "saurabh1411/example-submission", "kernel_id": "8814469"}, {"ref": "frtgnn/pycaret-introduction-classification-regression", "kernel_id": "8993563"}, {"ref": "aannestrand98/lab-rats", "kernel_id": "8053330"}, {"ref": "ftamur/house-prices-working-with-only-non-string-columns", "kernel_id": "8147682"}, {"ref": "mattbast/feature-engineering-house-prices", "kernel_id": "8973937"}, {"ref": "waldroar/kernel2077946f5f", "kernel_id": "8359915"}, {"ref": "divypandya/kernel38c953a25a", "kernel_id": "8868561"}, {"ref": "itsbitan/house-price", "kernel_id": "8778587"}, {"ref": "ssykiotis/house-prices-extensive-missing-values-exploration", "kernel_id": "8046465"}, {"ref": "elhmadany/deeplearningpractice", "kernel_id": "8754082"}, {"ref": "nixiam/house-prices", "kernel_id": "8787248"}, {"ref": "jjonak9415/house-price-base-line", "kernel_id": "8394429"}, {"ref": "m0salah/house-prices-advanced-with-linear-regression", "kernel_id": "8351096"}, {"ref": "arvindy786/data-science-model-evaluation", "kernel_id": "8504675"}, {"ref": "janvichokshi/random-forest-xgb-ridge-lasso-all-in-one", "kernel_id": "8974787"}, {"ref": "amsavchuk/price-prediction-top-15-regularization-stacking", "kernel_id": "8894439"}, {"ref": "xernagawang/house-prices-advanced-regression-techniques", "kernel_id": "8005256"}, {"ref": "imprime/house-prices-prediction-xgboost-regressor", "kernel_id": "8223352"}, {"ref": "nurzhann173/final-meirambaiuly-nurzhan-csse-193m", "kernel_id": "8410092"}, {"ref": "alenavorushilova/missing-data-and-nas-guide", "kernel_id": "8078955"}, {"ref": "saitharun97/advanced-house-price-prediction-part-2", "kernel_id": "8023702"}, {"ref": "efradgamer/pelatihan-prc-2020", "kernel_id": "8178917"}, {"ref": "aibaend/sadu-aibyn-final", "kernel_id": "8406661"}, {"ref": "etsc9287/regression-project-predicting-house-prices", "kernel_id": "8401898"}, {"ref": "eniacc/using-pytorch-linear-model-score-0-34509", "kernel_id": "8119793"}, {"ref": "satzcoder/a-complete-guide-for-regression-problem", "kernel_id": "8131514"}, {"ref": "ricksoc/nan-processing-for-ames-iowa-dataset", "kernel_id": "8049230"}, {"ref": "ricksoc/ridge-regression-model-0-1569-rmse", "kernel_id": "8541615"}, {"ref": "ricksoc/xgbregression-predictive-model", "kernel_id": "8565068"}, {"ref": "tmgnadh/house-prices-prediction-using-pycaret", "kernel_id": "8985513"}, {"ref": "manojkumar101/kagglecompetition", "kernel_id": "8004544"}, {"ref": "goswamimurari/aws-noaa-weather-on-adidas-store-location-eda", "kernel_id": "8322499"}, {"ref": "shajin/house-price-analysis", "kernel_id": "8717337"}, {"ref": "rbud613/house-prices-predicting", "kernel_id": "8900693"}, {"ref": "kumamit5/kernel4b255c9313", "kernel_id": "8662739"}, {"ref": "prasadpatil99/eda-lgbm-xgb-blending", "kernel_id": "8522825"}, {"ref": "leosuky/housing-prices-basic-exploration-and-model", "kernel_id": "8150740"}, {"ref": "srivathsansenthil/full-data-cleaning-with-viz", "kernel_id": "8778809"}, {"ref": "deepakrajpurohit/test-data-code", "kernel_id": "8768070"}, {"ref": "deepakrajpurohit/prediction-using-xgboost-hyperparameter-tuning", "kernel_id": "8767009"}, {"ref": "snanilim/eda-of-house-data", "kernel_id": "8936994"}, {"ref": "amypeniston/the-power-of-averaging-lasso-svr-xgb-top-13", "kernel_id": "8117197"}, {"ref": "kieshan/house-prices-advanced-regression-techniques", "kernel_id": "8028132"}, {"ref": "yadavhimanshu/housing-prediction", "kernel_id": "8909961"}, {"ref": "fxs123456/house-price", "kernel_id": "8030592"}, {"ref": "snehamd2468/house-price-prediction-eda-feature-eng-ml-models", "kernel_id": "8049471"}, {"ref": "faressayah/predicting-houses-prices-using-anns", "kernel_id": "8753394"}, {"ref": "haymant/data-visualization-and-price-prediction", "kernel_id": "8643789"}, {"ref": "harrymi/house-price-prediction", "kernel_id": "8333249"}, {"ref": "sparshbhartiya/fork-of-house-price-prediction-practise-kernel", "kernel_id": "8243942"}, {"ref": "sparshbhartiya/house-price-prediction-practise-kernel", "kernel_id": "8084412"}, {"ref": "imoisharma/house-prices-lasso-xgboost-and-a-detailed-eda", "kernel_id": "8868687"}, {"ref": "sujeet9tean/house-prices", "kernel_id": "8873755"}, {"ref": "brunovpm/recursive-feature-elimination-house-prices", "kernel_id": "8981474"}, {"ref": "dalwindr/av-weekly-sale-forcast-dalwin008", "kernel_id": "8214639"}, {"ref": "ashokpandiyana/house", "kernel_id": "8047972"}, {"ref": "maisonhai3/4-houseprice-simple-models-for-beginners", "kernel_id": "8329546"}, {"ref": "dots9999/jo-kernel2", "kernel_id": "8163983"}, {"ref": "cerberus4229/voting-regressor-with-pipelines", "kernel_id": "8819639"}, {"ref": "anujpr/explanation-for-beginners-using-regression-models", "kernel_id": "8511252"}, {"ref": "spiiiii/house-pricing-lm", "kernel_id": "8153413"}, {"ref": "dabawse/house-prices", "kernel_id": "8090775"}, {"ref": "marinaramalhete/house-price-analysis", "kernel_id": "8044292"}, {"ref": "dssant85/tutorial-on-inferential-statistics", "kernel_id": "8822994"}, {"ref": "dssant85/house-price-prediction-eda", "kernel_id": "8528733"}, {"ref": "dssant85/tutorial-on-exploratory-data-analysis", "kernel_id": "8526928"}, {"ref": "mgmoorthy/sale-price", "kernel_id": "8012390"}, {"ref": "caesarlupum/understanding-regression-error-metrics-in-python", "kernel_id": "8384625"}, {"ref": "caesarlupum/starter-ghalat-machine-learning", "kernel_id": "8281350"}, {"ref": "caesarlupum/starter-miraiml", "kernel_id": "8297151"}, {"ref": "victorpr93/predicting-house-prices-beginner", "kernel_id": "8066726"}, {"ref": "catadanna/predict-house-prices-my-solution", "kernel_id": "8032305"}, {"ref": "rmoutinho/ames-house-price-prediction", "kernel_id": "8568194"}, {"ref": "venkat2ram/housing-prices", "kernel_id": "8131371"}, {"ref": "priyapathak123/house-price-prediction-light-gbm", "kernel_id": "8295991"}, {"ref": "wardalaknaoui1/house-prices-advanced-regression-techniques", "kernel_id": "8887208"}, {"ref": "tranekva/final-kulymbetov-csse-192m", "kernel_id": "8402981"}, {"ref": "rabigappar/final", "kernel_id": "8377493"}, {"ref": "rabigappar/house-price-prediction", "kernel_id": "8396233"}, {"ref": "yerassyl97/final-yerassyl-house-prices", "kernel_id": "8405069"}, {"ref": "harira30/houseprice-handlemissingdata", "kernel_id": "8794985"}, {"ref": "timmak321/timmak-final", "kernel_id": "8408282"}, {"ref": "richaidos/aidospredict", "kernel_id": "8336353"}, {"ref": "kuanysh07/yerezhepkossaynazarbekova-final", "kernel_id": "8392262"}, {"ref": "aigulalzhan21/final-aigulalzhan-houseprices-csse191m", "kernel_id": "8409938"}, {"ref": "mohini0218/housing-price", "kernel_id": "8213832"}, {"ref": "rakhmetoov/final", "kernel_id": "8409303"}, {"ref": "slamegg/final-limton-daniyar-house-prices", "kernel_id": "8406914"}, {"ref": "eldos21/kernel725e631d7c", "kernel_id": "8408420"}, {"ref": "erzhaniitu15/final-myrzaly-yerzhan-csse-193m", "kernel_id": "8392155"}, {"ref": "asselibragim/final-ibragim-assel-csse191m", "kernel_id": "8409646"}, {"ref": "asddggdf/kernel5a88fe971b", "kernel_id": "8229450"}, {"ref": "kasiyliy/kernel2d68246533", "kernel_id": "8409046"}, {"ref": "abaikhan/kernel683599fb31", "kernel_id": "8405695"}, {"ref": "abaikhan/kernel214d22b61e", "kernel_id": "8411260"}, {"ref": "daurlion1/multipleregression", "kernel_id": "8408561"}, {"ref": "ernuuur/house-prices-advanced-regression-24504-final", "kernel_id": "8412108"}, {"ref": "ruslanw/zhumabek-ruslan", "kernel_id": "8367733"}, {"ref": "zhandosainabek/final-zhandos-ainabek-csse-192m", "kernel_id": "8408080"}, {"ref": "smrutiranjanparida/advanced-regression-house-price-prediction", "kernel_id": "8981535"}, {"ref": "ali701/regression-eda", "kernel_id": "8398628"}, {"ref": "syouta5657/ridge-pred", "kernel_id": "8761470"}, {"ref": "binura123/kernel7e3417e724", "kernel_id": "8410680"}, {"ref": "parasharbhatt/kernel17d1025333", "kernel_id": "8301736"}, {"ref": "andscalco/are-reported-nas-truly-missing-data", "kernel_id": "8252792"}, {"ref": "margo0/kernel95338a9330", "kernel_id": "8404758"}, {"ref": "margo0/kernel4bc2409b1b", "kernel_id": "8384832"}, {"ref": "alexlichtenberg/predicting-home-prices", "kernel_id": "8619534"}, {"ref": "sachinyadav9/house-price-catboost-hyper-parameter-tuning", "kernel_id": "8548406"}, {"ref": "sachinganachari/eda-unravelling-a-story-with-data", "kernel_id": "8673286"}, {"ref": "jenifferjohn/regression-exploratory-data-analysis-using-python", "kernel_id": "8323572"}, {"ref": "bajuyan/kernel73496fed87", "kernel_id": "8623774"}, {"ref": "arunkumarpyramid/eda-ensemble-regularization", "kernel_id": "8152441"}, {"ref": "ajndesai/comprehensive-data-exploration-with-python", "kernel_id": "8648994"}, {"ref": "aradhanabehura/house-prices-regression-xgboosting", "kernel_id": "8283163"}, {"ref": "bharatsinghkushwah/handling-missing-values-categorical-data", "kernel_id": "8720946"}, {"ref": "haradaai/houce-price-analyse", "kernel_id": "8225303"}, {"ref": "haradaai/house-price-train", "kernel_id": "8433927"}, {"ref": "kevinkwan/house-price-advanced-regression-techniques", "kernel_id": "8312736"}, {"ref": "carlmcbrideellis/an-introduction-to-xgboost-regression", "kernel_id": "8872203"}, {"ref": "carlmcbrideellis/very-simple-neural-network-regression", "kernel_id": "8945211"}, {"ref": "lancengck/learning-journey-1-house-pricing-xgbregressor", "kernel_id": "8010943"}, {"ref": "amanjaipuria/future-pricing-predictions", "kernel_id": "8529503"}, {"ref": "utkumutlu22/house-prices-competition-tr", "kernel_id": "8789030"}, {"ref": "dssahil/easy-technique-to-predict-house-price-for-freshers", "kernel_id": "8159488"}, {"ref": "ginalnelson/homepredictcu-finale", "kernel_id": "8968132"}, {"ref": "ginalnelson/homepredictcu", "kernel_id": "8986780"}, {"ref": "haileybugbee/homepredictgn", "kernel_id": "8968784"}, {"ref": "haileybugbee/kernel353cf8fe13", "kernel_id": "8875984"}, {"ref": "sivasekhar/house-price-prediction-top-6", "kernel_id": "8663537"}, {"ref": "darshanjain29/house-price-prediction-top-in-94-to-top-in-28", "kernel_id": "8334615"}, {"ref": "medhinishetty/fork-of-house-sale-price-9a41b1", "kernel_id": "8771865"}, {"ref": "bekmuratovbekzat/final-linear-regression", "kernel_id": "8367373"}, {"ref": "anikjain/house-prices-advanced-linear-regression", "kernel_id": "8074739"}, {"ref": "shubhammahajan3110/simple-approach-to-predict-house-price", "kernel_id": "8887237"}, {"ref": "vasportv/house-prices-by-porotov", "kernel_id": "8418334"}, {"ref": "anshagrawal93/sales-price-prediction", "kernel_id": "8538461"}, {"ref": "tanerant/multiplelinearregression-beginner", "kernel_id": "8216538"}, {"ref": "poncat/uos-houseprise", "kernel_id": "8818349"}, {"ref": "poncat/fork-of-uos-houseprise-702c98", "kernel_id": "8858679"}, {"ref": "kangseongkim/follow-good-kernel-stacked-regressions", "kernel_id": "8027730"}, {"ref": "octvee/mamaself-internship", "kernel_id": "8493471"}, {"ref": "bernhardklinger/simple-lasso-model-top-10-with-no-stacking", "kernel_id": "8141262"}, {"ref": "saadalsharif/dsi-stars-pro2", "kernel_id": "8633072"}, {"ref": "mdmahmudferdous/tutorial-pipelines", "kernel_id": "8089017"}, {"ref": "winston1214/housing-second-kaggle", "kernel_id": "8229132"}, {"ref": "rakkaalhazimi/house-price-adaboost-with-feature-creation", "kernel_id": "8911795"}, {"ref": "rakkaalhazimi/how-to-handle-missing-data-with-classifier", "kernel_id": "8858657"}, {"ref": "sal001/beginner-s-note-top-12-by-single-linear-model", "kernel_id": "8388181"}, {"ref": "soheilarouhi/house-price-competition", "kernel_id": "8871654"}, {"ref": "ellikamishra/kernel5a26eac457", "kernel_id": "8122597"}, {"ref": "ayushsingh5941/top-30-with-stacking-housing-price-advanced-reg", "kernel_id": "8073178"}, {"ref": "robbiebeane/house-prices-v01", "kernel_id": "8970352"}, {"ref": "anmolarora01/predicting-house-prices-using-random-forests", "kernel_id": "8802272"}, {"ref": "mayureedeshmukh/house-price-prediction-exploratory-data-analysis", "kernel_id": "8966802"}, {"ref": "mayureedeshmukh/housing-price-prediction-first-regression-model", "kernel_id": "8242724"}, {"ref": "chawaritphumchan/house-prices-advanced-regression-techniques", "kernel_id": "8761738"}, {"ref": "akasharidas/house-prices-quick-guide-to-top-500", "kernel_id": "8391034"}, {"ref": "piyushukla22/ps-house-prices-prediction", "kernel_id": "8121116"}, {"ref": "samgreenleaf/sams-code-2", "kernel_id": "8026969"}, {"ref": "nicolasmalloy/housing-predictions", "kernel_id": "8948761"}, {"ref": "hiangsug717/house-price-prediction", "kernel_id": "8179873"}, {"ref": "marioescalonilla/several-predictors-in-house-prices", "kernel_id": "8549195"}, {"ref": "kaushikmurthi/housing-price-prediction", "kernel_id": "8344344"}, {"ref": "imsanjoykb/house-price-prediction", "kernel_id": "8822697"}, {"ref": "sirishapelluri/toy-dataset-with-op", "kernel_id": "8004704"}, {"ref": "abylaikhankossay/kossay-abylaikhan-191m", "kernel_id": "8393199"}, {"ref": "aruncjohn/housing-prices-prediction-linear-models", "kernel_id": "8259585"}, {"ref": "vectorhigh/user-analyze-test", "kernel_id": "8088891"}, {"ref": "beatrizyumi/house-prices-linear-regression", "kernel_id": "8551999"}, {"ref": "matheuscoradini/categorical-correlation-rfr-and-xgboost", "kernel_id": "8226216"}, {"ref": "thanhhungnguyen/house-project-1", "kernel_id": "8479702"}, {"ref": "thanhhungnguyen/house-project-2", "kernel_id": "8965582"}, {"ref": "dalongguo/house-prices-advanced-regression-techniques", "kernel_id": "8301088"}, {"ref": "cneytayka/house-prices-eda", "kernel_id": "8634450"}, {"ref": "gregsimkow/teampineapple", "kernel_id": "8064630"}, {"ref": "darwinwin/vusing-h2o-automl-to-predict-housing-prices", "kernel_id": "8084919"}, {"ref": "darwinwin/h2o-automl-house-prices-v3", "kernel_id": "8084929"}, {"ref": "darwinwin/running-mlbox-auto-ml-package-on-house-prices", "kernel_id": "8179886"}, {"ref": "darwinwin/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "8190834"}, {"ref": "darwinwin/sklearn-pipeline-playground-for-12-classifiers", "kernel_id": "8190842"}, {"ref": "darwinwin/building-predictive-models-with-sklearn-pipelines", "kernel_id": "8190911"}, {"ref": "darwinwin/house-prices-plotly-pipelines-and-ensembles", "kernel_id": "8191629"}, {"ref": "psgasol/housingprices-catboost", "kernel_id": "8089288"}, {"ref": "psgasol/kernel125a9dc55b", "kernel_id": "8223429"}, {"ref": "mohammedfurqan/stacked-model-feature-engineering", "kernel_id": "8416851"}, {"ref": "maramedrees/house-prices-group-4", "kernel_id": "8194568"}, {"ref": "hessatmim/house-prices-g5", "kernel_id": "8335539"}, {"ref": "hessatmim/house-price", "kernel_id": "8118516"}, {"ref": "wangqiyuan/using-h2o-automl-to-predict-housing-prices", "kernel_id": "8103551"}, {"ref": "wangqiyuan/h2o-automl-house-prices-v3", "kernel_id": "8103312"}, {"ref": "wangqiyuan/kaggle-7-xgbst-enet", "kernel_id": "8113268"}, {"ref": "wangqiyuan/top-50-beginners-stacking-lgb-xgb", "kernel_id": "8113270"}, {"ref": "wangqiyuan/house-prices-ensemble-7models", "kernel_id": "8113271"}, {"ref": "wangqiyuan/house-prices-top-3-0-10647-stacking", "kernel_id": "8113272"}, {"ref": "wangqiyuan/7-lines-of-code-to-reach-6th-place", "kernel_id": "8113276"}, {"ref": "wangqiyuan/auto-predict-housing-prices-with-h2o-automl", "kernel_id": "8142096"}, {"ref": "sahilpatni95/house-prices-ml", "kernel_id": "8349007"}, {"ref": "saurabhswroop/house-price-prediction-lasso-ridge", "kernel_id": "8889184"}, {"ref": "romanfrolov/ml-advanced-regression-frolov", "kernel_id": "8195894"}, {"ref": "ashijain/kernel4802aecbb8", "kernel_id": "8159638"}, {"ref": "filipdutescu/housing-prices-advanced-regression-techniques", "kernel_id": "8981939"}, {"ref": "lzh990515/kernel1a57ddcf26", "kernel_id": "8557498"}, {"ref": "himanshumone11/beginner-s-guide-house-prediction-tensorflow", "kernel_id": "8614199"}, {"ref": "obermairchristoph/analysis-of-house-prices-following-hands-on-ml", "kernel_id": "8216238"}, {"ref": "bdokkkk/house", "kernel_id": "8926909"}, {"ref": "willsni/iowasales", "kernel_id": "8399793"}, {"ref": "krparekh24/predict-house-price", "kernel_id": "8701919"}, {"ref": "raghadalharbi/regression-with-rmse-0-11890", "kernel_id": "8540447"}, {"ref": "lv073dbe/house-prices-advanced-regression", "kernel_id": "8592545"}, {"ref": "fakhrezasoerono/house-price-regression-rmsle-0-133", "kernel_id": "8918314"}, {"ref": "thomaswoolley/house-price-data-exploration", "kernel_id": "8966709"}, {"ref": "anubhavjin/kernel4a9bae5e20", "kernel_id": "8539140"}, {"ref": "wholelottalove/house-prices", "kernel_id": "8411288"}, {"ref": "royisland/price-this-house", "kernel_id": "8443456"}, {"ref": "shinnishimura/kernel353821175c", "kernel_id": "8538226"}, {"ref": "lukeooyendyk/house-prices-prediction-using-keras", "kernel_id": "8434548"}, {"ref": "prashantcodes/kaggle-house-price-prediction", "kernel_id": "8921053"}, {"ref": "rayizumi/kernel63b6fe8272", "kernel_id": "8869455"}, {"ref": "yoshitakaito/price-predict-ver1", "kernel_id": "8730698"}, {"ref": "dmitrymaksimov/houese-price-regression", "kernel_id": "8682238"}, {"ref": "sarahaljudaibi/house-prices-prediction-models", "kernel_id": "8656791"}, {"ref": "kazuyaminakuchi/submission-practice-house-prices-prediction", "kernel_id": "8752891"}, {"ref": "sitthiphumnar/house-prices-advanced-regression-int638-group-13", "kernel_id": "8820253"}, {"ref": "uldisvalainis/first-model", "kernel_id": "8625292"}, {"ref": "adichen/house-pricing-data-science", "kernel_id": "8542510"}, {"ref": "ghalib93/house-prices", "kernel_id": "8539827"}, {"ref": "khwlaali/super-dsi7", "kernel_id": "8666851"}, {"ref": "doaaalsenani/predict-house-prices", "kernel_id": "8657612"}, {"ref": "ryukiono/houseprice", "kernel_id": "8885055"}, {"ref": "giadaloma/my-kernel", "kernel_id": "8597591"}, {"ref": "kgsjapan/ensembling-stacking", "kernel_id": "8696963"}, {"ref": "johnmakgakga/house-price", "kernel_id": "8676468"}, {"ref": "aryamaanpandey/house-price-prediction", "kernel_id": "8843131"}, {"ref": "mafaiq/house-pricing-prediction-1", "kernel_id": "8839784"}, {"ref": "pichetketcham/test232323", "kernel_id": "8785500"}, {"ref": "phantiwajanpao/house-prices-with-machine-learning", "kernel_id": "8786438"}, {"ref": "timmccabe/tim-mccabe-code", "kernel_id": "8875451"}, {"ref": "timmccabe/homepredictgn", "kernel_id": "8968676"}, {"ref": "daeyeopkim/comparing-no-missing-and-imputed-missing-data", "kernel_id": "8892459"}, {"ref": "daeyeopkim/note-book-for-housing-prices-competition", "kernel_id": "8834656"}, {"ref": "domoldo/r-linear-model-gmu-kaggle-club-example", "kernel_id": "9230696"}, {"ref": "cairo43227/house-prices-lightgbm", "kernel_id": "9068708"}, {"ref": "kuberiitb/applied-machine-learning", "kernel_id": "9398582"}, {"ref": "sarath1/house-saleprice-prediction-v1", "kernel_id": "9399460"}, {"ref": "daniel68/california-house-prices-a-beginner-s-guide", "kernel_id": "9218118"}, {"ref": "lalehae/house-prices-regression", "kernel_id": "9685986"}, {"ref": "dumbgeek/nn-lgb-xgb-lasso-top-20-using-r", "kernel_id": "9064670"}, {"ref": "parthasarathidas/kernel5270bc6d42", "kernel_id": "9180416"}, {"ref": "parthasarathidas/kernel6decbd81e1", "kernel_id": "9001820"}, {"ref": "nulldata/correlation-alternative-ppscore-demo", "kernel_id": "9176703"}, {"ref": "gaurangmehra/ames-real-estate-3", "kernel_id": "9087268"}, {"ref": "rp1611/start-here-visualization-and-model-stacking", "kernel_id": "9215959"}, {"ref": "ragia11/eda-houses-1", "kernel_id": "9216519"}, {"ref": "ragia11/eda-houses-pricing-funmodeling", "kernel_id": "9281894"}, {"ref": "tunguz/housing-prices-with-rapids", "kernel_id": "9743684"}, {"ref": "pablomonleon/basic-guide-for-a-regression-problem", "kernel_id": "9535386"}, {"ref": "raosindhu/houseprices-python", "kernel_id": "9254298"}, {"ref": "thoolihan/submission1-tah", "kernel_id": "9024258"}, {"ref": "reinkesven/housing-data-set-eda-made-easy", "kernel_id": "9767292"}, {"ref": "fazrul/preprocessing-eda-and-modelling", "kernel_id": "9346959"}, {"ref": "subhamoybhaduri/predicting-the-housing-prices", "kernel_id": "9517342"}, {"ref": "wabbiy/house-pricing-simple-analysis", "kernel_id": "9273915"}, {"ref": "habipkapla/house-prediction", "kernel_id": "9516272"}, {"ref": "awantik/kernel359d274d49", "kernel_id": "9780750"}, {"ref": "deborareis/how-to-not-do-regression-today-i-am-lazy", "kernel_id": "9131852"}, {"ref": "sagarpavan123/house-price-prediction-with-xgboost", "kernel_id": "9555803"}, {"ref": "unfinishedgod/house-prices-data-summary", "kernel_id": "9273892"}, {"ref": "hoangnguyen719/eda-feature-selection", "kernel_id": "9335407"}, {"ref": "pragya05/house-price-prediction-problem", "kernel_id": "9376632"}, {"ref": "dash25/housing-price-stacking-method", "kernel_id": "9019716"}, {"ref": "sepremento/house-prices-eda-and-prediction", "kernel_id": "9947812"}, {"ref": "ekholme/xgboost-using-tidymodels", "kernel_id": "9216640"}, {"ref": "itsmuriuki/house-price", "kernel_id": "9343667"}, {"ref": "brunods10/linear-regression-housing-prices", "kernel_id": "9730786"}, {"ref": "harryem/novice-contributor-begginer-s-tutorial-to-submit", "kernel_id": "9123662"}, {"ref": "donkeys/explaining-models-with-lime-et-al", "kernel_id": "9605458"}, {"ref": "mastergogo/housepriceprediction", "kernel_id": "9249589"}, {"ref": "gomes555/xgboost-bayes-opt-with-tidymodels", "kernel_id": "9792678"}, {"ref": "aavigan/predicting-home-prices-with-inferred-causality", "kernel_id": "9899933"}, {"ref": "ajaysamp/boston-housing-price-end-to-end-eda-model", "kernel_id": "9438495"}, {"ref": "tulikav/kernel183e7ffb49", "kernel_id": "9746522"}, {"ref": "yashita/prediction-houses", "kernel_id": "9816811"}, {"ref": "veb101/project-2-p2-model-building", "kernel_id": "9829851"}, {"ref": "veb101/project-2-p1-eda", "kernel_id": "9741719"}, {"ref": "uthamkanth/computational-complexity-of-ml-algorithms", "kernel_id": "9219544"}, {"ref": "jacobabello/house-prices-advance-regression", "kernel_id": "9875474"}, {"ref": "ar89dsl/house-price-eda-predictive-power-score", "kernel_id": "9595131"}, {"ref": "ar89dsl/genetic-algorithms-for-feature-selection-0-13236", "kernel_id": "9597503"}, {"ref": "vikramdhingra/simple-h2o-elastic-net-rmse-0-11618-top-10", "kernel_id": "9346100"}, {"ref": "pavansanagapati/14-simple-tips-to-save-ram-memory-for-1-gb-dataset", "kernel_id": "9240304"}, {"ref": "sumitmaan/house-price-advanced-regression-techniques", "kernel_id": "9607716"}, {"ref": "ahmednour/house-prices-advanced-regression-techniques", "kernel_id": "9047954"}, {"ref": "deejindal/predicting-ur-house-price", "kernel_id": "9470592"}, {"ref": "samk67/house-sales-prediction-simple", "kernel_id": "9702108"}, {"ref": "rj81309050/house-prices-prediction", "kernel_id": "9264189"}, {"ref": "sarisoma/prediciting-house-prices-a-pragmatic-approach", "kernel_id": "9460819"}, {"ref": "maeror/housing-price-dataset", "kernel_id": "9033763"}, {"ref": "akramnarejo/house-prices-for-beginners", "kernel_id": "9842587"}, {"ref": "williamu32/blend-stack-prediction-regression", "kernel_id": "9514900"}, {"ref": "imransait/how-each-independent-variable-reacts-to-saleprice", "kernel_id": "9294862"}, {"ref": "servietsky/eazy-way-house-price-pycaret", "kernel_id": "9717060"}, {"ref": "lkuen89/catboost-performance-loss-from-dataset-splitting", "kernel_id": "9195175"}, {"ref": "sp1667/regression", "kernel_id": "9650325"}, {"ref": "djousto/house-price-imputation-and-feature-engineering", "kernel_id": "9063813"}, {"ref": "mingweichina/0-11701-top-10-57-with-only-one-entry", "kernel_id": "9521630"}, {"ref": "mateusm/house-prices-prediction-using-linear-regression", "kernel_id": "9245201"}, {"ref": "yumpyman/house-prices-with-fast-ai-tabular", "kernel_id": "9217058"}, {"ref": "vipina/house-price-prediction", "kernel_id": "9057981"}, {"ref": "vithal2311/advance-housing-prediction-for-beginners", "kernel_id": "9972777"}, {"ref": "jykathar/house-pricing-basic-analysis-33", "kernel_id": "9045341"}, {"ref": "pavelburtovoy/egorka-house", "kernel_id": "9498719"}, {"ref": "goldens/house-prices-on-the-top-with-simple-model", "kernel_id": "9677871"}, {"ref": "khanradcoder/xgboost-example", "kernel_id": "9765779"}, {"ref": "saife245/reticulate-a-journey-of-python-in-r", "kernel_id": "9506059"}, {"ref": "rajeshjnv/advance-regression-with-house-price-top-10", "kernel_id": "9440937"}, {"ref": "doodlez/tokhtarov-amerlan-dood13z", "kernel_id": "9362643"}, {"ref": "medyasun/house-price-all-regressor-algorithms", "kernel_id": "9772985"}, {"ref": "salmaeng/house-prices-eda-in-r", "kernel_id": "9460466"}, {"ref": "abhishekrath1995/arhouse", "kernel_id": "9015972"}, {"ref": "jsvishnuj/artificial-neural-networks-for-regression", "kernel_id": "9239419"}, {"ref": "hemanthk701/kernel5db08b1941", "kernel_id": "9325870"}, {"ref": "seif2018/house-price-prediction", "kernel_id": "9023885"}, {"ref": "kagglefox/xgboost-hyper-parameter-tuning", "kernel_id": "9705155"}, {"ref": "borameister/house-prices-eda-and-predictions", "kernel_id": "9271962"}, {"ref": "devendratapdia/house-prices-prediction", "kernel_id": "9649166"}, {"ref": "tushar1202/eda-feature-engineering-model-stacking-top-17", "kernel_id": "9170010"}, {"ref": "pakkanmeric/house-prices-regression-tree", "kernel_id": "9198679"}, {"ref": "anuragpandey9/kernel521696d24e", "kernel_id": "9244089"}, {"ref": "abhijithchandradas/stacked-xgb-linear-regression-random-forest-svm", "kernel_id": "9148009"}, {"ref": "abhijithchandradas/xgboost-vs-linear-regression-vs-svm", "kernel_id": "9138175"}, {"ref": "podsyp/complete-linear-model-guide", "kernel_id": "9017531"}, {"ref": "germanocorrea/house-price-feature-enginering-and-simple-regres", "kernel_id": "9689804"}, {"ref": "njbultman/houses", "kernel_id": "9981946"}, {"ref": "elhmadany/house-prices", "kernel_id": "9204375"}, {"ref": "kannanparthipan/house-prices-advanced-regression-techniques", "kernel_id": "9127891"}, {"ref": "uday44/house-price-prediction", "kernel_id": "9026601"}, {"ref": "hungrywolf/sale-price-prediction-with-stacking", "kernel_id": "9673564"}, {"ref": "esswidi125/preparing-data-s-housing-to-ml-algo", "kernel_id": "9912313"}, {"ref": "nzhongahtan/2-house-price-regression", "kernel_id": "9088215"}, {"ref": "dyoko37/simple-eda-and-linearregression", "kernel_id": "9229186"}, {"ref": "angqx95/data-science-workflow-top-2-with-tuning", "kernel_id": "9338059"}, {"ref": "angqx95/nuts-bolts-of-boosting-algorithms", "kernel_id": "9993894"}, {"ref": "krutarthhd/houseprices-data-exploration-and-prediction", "kernel_id": "9249396"}, {"ref": "soham1024/introduction-2d-3d-data-visualization", "kernel_id": "9105665"}, {"ref": "soham1024/all-avaialable-visualizations", "kernel_id": "9351975"}, {"ref": "taimurzahid/house-prices-complete-pipeline-feature-eng", "kernel_id": "9918834"}, {"ref": "unkletam/house-price-data-exploration-in-r", "kernel_id": "9837533"}, {"ref": "vis123/houseprice-prediction-random-forest-regression", "kernel_id": "9782649"}, {"ref": "smritisingh1997/house-price", "kernel_id": "9020840"}, {"ref": "shubhamdivakar/house-regressions-top-4-on-leaderboard", "kernel_id": "9531491"}, {"ref": "efradgamer/scattered-boxplots-visualization", "kernel_id": "9858069"}, {"ref": "bhuvanesh99/kernel5d805f232f", "kernel_id": "9331354"}, {"ref": "rafaelb1/pre-o-de-casas-reg-linear-v2", "kernel_id": "9340895"}, {"ref": "rafaelb1/pre-o-de-casas-reg-linear", "kernel_id": "9302069"}, {"ref": "bjladika/xgboost-house-pricing-by-bjladika", "kernel_id": "9752812"}, {"ref": "hugedin/houses-3", "kernel_id": "9683050"}, {"ref": "jan1892/non-linear-regression-models", "kernel_id": "9711904"}, {"ref": "cindyalifiaputri/house-price-prediction-deep-neural-network", "kernel_id": "9955050"}, {"ref": "hjaimes/house-prices-project", "kernel_id": "9792293"}, {"ref": "cthierfelder/housepricesadvregression", "kernel_id": "9445355"}, {"ref": "stephenil/a-simple-regression-model-explained-line-by-line", "kernel_id": "9365303"}, {"ref": "shubham1696/advanced-house-pricing-solution", "kernel_id": "9436675"}, {"ref": "mihirahuja01/lets-start-with-the-eda", "kernel_id": "9481267"}, {"ref": "zhengis/nn-reg-zhuman", "kernel_id": "9344482"}, {"ref": "nilanshk/advance-regression-price", "kernel_id": "9093143"}, {"ref": "madison88/top-5-house-price-pred-xgboost-neuralnet-glmnet", "kernel_id": "9620199"}, {"ref": "shubhamksingh/top-3-stacking-blending-in-depth-eda", "kernel_id": "9623574"}, {"ref": "navinmundhra/how-i-got-into-top-18-in-my-first-kagglekernel", "kernel_id": "9299335"}, {"ref": "nobletp/house-prices-advanced-regression", "kernel_id": "9109626"}, {"ref": "samiranbera/house-pricing-in-one-hour-using-pycaret", "kernel_id": "9068733"}, {"ref": "dhruvkumar95/house-price-prediction-linear-regression", "kernel_id": "9827553"}, {"ref": "nitbrok/step-by-step-adv-house-regression", "kernel_id": "9142736"}, {"ref": "kumamit5/regression-feature-engine-ridge", "kernel_id": "9590696"}, {"ref": "anmspro/beyond-hello-world-dnn-fashion-mnist", "kernel_id": "9619842"}, {"ref": "anmspro/very-basic-linear-approach-house-price-prediction", "kernel_id": "9619210"}, {"ref": "pkalra001/house-prices-regress-pipeline-gridsearch-stacking", "kernel_id": "9909447"}, {"ref": "priyanshu69/house-price-prediction", "kernel_id": "9226747"}, {"ref": "theo29/diplomav3", "kernel_id": "9920787"}, {"ref": "jawdri/pycaret-with-house-prices", "kernel_id": "9034703"}, {"ref": "kdecision/house-pricing", "kernel_id": "9898808"}, {"ref": "sukanthen/life-cycle-of-data-science-project-eda-step", "kernel_id": "9176464"}, {"ref": "gb00000/house-gridsearch", "kernel_id": "9138437"}, {"ref": "pratheepknadar/housing-sale-prediction-with-feature-eng-sklearn", "kernel_id": "9656373"}, {"ref": "shivapower1985/saleprice-xgb", "kernel_id": "9770290"}, {"ref": "kasayu/beginner-s-stop-xgb-lgbm-blend", "kernel_id": "9832832"}, {"ref": "kasayu/stacked-regressions-top-4-on-leaderboard", "kernel_id": "9857491"}, {"ref": "kasayu/practiceeda", "kernel_id": "9946549"}, {"ref": "priyajais/house-prices-with-machine-learning", "kernel_id": "9260924"}, {"ref": "nishsup/fork-of-housing-prices", "kernel_id": "9425675"}, {"ref": "nishsup/housing-prices", "kernel_id": "9389284"}, {"ref": "sureshmecad/house-prices-advanced-regression-suresha", "kernel_id": "9693860"}, {"ref": "yatharthmahesh/eda-with-feature-engineering", "kernel_id": "9460385"}, {"ref": "akashchola/house-price-data-set-eda-prediction", "kernel_id": "9826540"}, {"ref": "leofuchs/predicting-house-prices-analysis-and-prediction", "kernel_id": "9401304"}, {"ref": "jcl1992/house-pricing-jcl", "kernel_id": "9553413"}, {"ref": "jesvinho/boston-r1", "kernel_id": "9813065"}, {"ref": "souravkgoyal/eda-and-xgboost-for-prediction", "kernel_id": "9585749"}, {"ref": "neerunaveenjakhar/simple-regression-modelling", "kernel_id": "9610927"}, {"ref": "sultanakhmetbek/sa-1707", "kernel_id": "9308680"}, {"ref": "ad8mir/kernel3015ac975b", "kernel_id": "9576250"}, {"ref": "atharva32/house-prediction-6algos", "kernel_id": "9240361"}, {"ref": "kentaro7/house-price-beginer", "kernel_id": "9201666"}, {"ref": "konovalex/house-prices-eda-nn-boosts-lin-models", "kernel_id": "9203876"}, {"ref": "soyeon17/house-prices-advanced-regression-techniques", "kernel_id": "9295196"}, {"ref": "myeeee/eda-preprocessing-and-machine-learning", "kernel_id": "9025538"}, {"ref": "kamleshsolanki/house-prices-first-kernel", "kernel_id": "9760954"}, {"ref": "vishumudgal/zero-to-hero-1", "kernel_id": "9371922"}, {"ref": "ramkumar1977/house-pricing-using-linear-regression", "kernel_id": "9376715"}, {"ref": "shaelanderchauhan/project-advance-houseprice-prediction-part-1", "kernel_id": "9589643"}, {"ref": "shaelanderchauhan/advance-houseprice-feature-handeling-part2", "kernel_id": "9806872"}, {"ref": "rahulranjan87/ensemble-of-lasso-ridge-xgboost", "kernel_id": "9275504"}, {"ref": "bizlafine/kernel1b3bf90a7e", "kernel_id": "9836795"}, {"ref": "itsmeprasanna/exploratory-data-analysis", "kernel_id": "9640776"}, {"ref": "yzh094/my-house-price-prediction", "kernel_id": "9180055"}, {"ref": "anirudhachal/housing-prices-with-basic-regression-models", "kernel_id": "9307832"}, {"ref": "aroonima12/house-prices-in-depth-analysis-machine-learning", "kernel_id": "9822297"}, {"ref": "mporras/lightgbmmodel", "kernel_id": "9136729"}, {"ref": "sanjanavoona1043/regularization-models-ensemble-hypertuning", "kernel_id": "9009289"}, {"ref": "chris4lilv/house-price-prediction-using-stacking-technique", "kernel_id": "9800859"}, {"ref": "taruntiwarihp/house-dataset", "kernel_id": "9669408"}, {"ref": "maziprimareza/house-price-prediction-with-neural-networks", "kernel_id": "9610586"}, {"ref": "sidagar/well-commented-code-xgboosting", "kernel_id": "9165709"}, {"ref": "twinkle0705/simple-code-top-17-in-competition", "kernel_id": "9355135"}, {"ref": "kwnjh3424/comprehensive-data-exploration-with-python-080520", "kernel_id": "9364609"}, {"ref": "jhalls/a-b-c-of-data-analytics", "kernel_id": "9318738"}, {"ref": "raymwell/end-term-kumarbekov", "kernel_id": "9326942"}, {"ref": "nikitaminakov61/kernel22b828fe18", "kernel_id": "9257296"}, {"ref": "nikitaminakov61/kernelca12610d3e", "kernel_id": "9293938"}, {"ref": "pandaalbert/house-price", "kernel_id": "9432577"}, {"ref": "puncher/kernel1151e58d1c", "kernel_id": "9344030"}, {"ref": "jasminhasen/endterm-2020-23860", "kernel_id": "9345381"}, {"ref": "abylai57/endterm-kaggle-house-prices", "kernel_id": "9327192"}, {"ref": "golddragon/muhamedkarimov-endterm", "kernel_id": "9343489"}, {"ref": "winkin/endterm-v1", "kernel_id": "9329306"}, {"ref": "winkin/endtermv2", "kernel_id": "9341005"}, {"ref": "winkin/endtermv3", "kernel_id": "9344515"}, {"ref": "orazkarl/endterm-karl", "kernel_id": "9329713"}, {"ref": "soumya9977/learn-stacking-models-for-regression", "kernel_id": "9306174"}, {"ref": "bhadaneeraj/advanced-eda-on-house-prices-prediction-dataset", "kernel_id": "9979339"}, {"ref": "igaukhar/house-price", "kernel_id": "9247033"}, {"ref": "imrul273/machine-learning-approach", "kernel_id": "9750553"}, {"ref": "darkhanbolatov/darkhanbolatov", "kernel_id": "9345063"}, {"ref": "darklord42/kernel234a27f37a", "kernel_id": "9337805"}, {"ref": "soziin/kernel650879ce37", "kernel_id": "9345518"}, {"ref": "tynyshbaizhuldyz/endtermhouseprice", "kernel_id": "9345011"}, {"ref": "nekoaneka/house-prices-23779", "kernel_id": "9249393"}, {"ref": "imashmedet/endterm", "kernel_id": "9342400"}, {"ref": "whiteway/zhumagulov-akzhol-house-prices", "kernel_id": "9281983"}, {"ref": "anklav22/kernel1e77491854", "kernel_id": "9295934"}, {"ref": "madiaskarov24/kernel-madi", "kernel_id": "9343769"}, {"ref": "tairovamadina/house-price", "kernel_id": "9338664"}, {"ref": "tairovamadina/xgb-tairova", "kernel_id": "9322140"}, {"ref": "mariyamomarova/endterm-mariyamomarova", "kernel_id": "9325861"}, {"ref": "kossaibek/pricepred", "kernel_id": "9333182"}, {"ref": "ashkhagan/day-1-10-plots", "kernel_id": "9473747"}, {"ref": "ashkhagan/simple-tutorial-to-data-visulaization-bokehmodex", "kernel_id": "9426243"}, {"ref": "gromkz/daruishalizhan", "kernel_id": "9344322"}, {"ref": "lsureban/house-price-prediction-ridge-and-randomforest", "kernel_id": "9319509"}, {"ref": "daniyar777/daniyar-ibrayev-endterm", "kernel_id": "9315074"}, {"ref": "gulsezim/house-price", "kernel_id": "9318319"}, {"ref": "arshtematida/endterm-2020", "kernel_id": "9338984"}, {"ref": "ba1taulov/kernel21bd45e56d", "kernel_id": "9341750"}, {"ref": "amanchiqq/kernel114b272777", "kernel_id": "9339121"}, {"ref": "sabinodes/house-price", "kernel_id": "9345803"}, {"ref": "meirzhan/house-prices-meirzhan", "kernel_id": "9345098"}, {"ref": "galiaskarov/galiaskarov-ilyas-endterm", "kernel_id": "9341610"}, {"ref": "pakalodnik/end-term", "kernel_id": "9343767"}, {"ref": "mukhamedali/mukhamedali-csse1708-2", "kernel_id": "9345578"}, {"ref": "arthurjh/final-tsoy-arthur-mcsse-193m", "kernel_id": "9379632"}, {"ref": "mereymak/23069", "kernel_id": "9344643"}, {"ref": "anuj007a/kernel1a07e0e55b", "kernel_id": "9478969"}, {"ref": "anuj007a/kernel6a26c5c167", "kernel_id": "9476039"}, {"ref": "khanakbar1234/basic-plotting-and-visualization-technique", "kernel_id": "9278287"}, {"ref": "tima171995/final-timur-khazhiakhmet-mcsse-193m", "kernel_id": "9359841"}, {"ref": "michalbrezk/simple-guide-to-house-prices-prediction-0-1-rmse", "kernel_id": "9492950"}, {"ref": "anshu1595/house-price-prediction-advanced-regression", "kernel_id": "9645998"}, {"ref": "arstoktarov/arsentoktarov", "kernel_id": "9344334"}, {"ref": "ivankalian/my-house-sales-predict", "kernel_id": "9242442"}, {"ref": "ivankalian/eda-house-predict", "kernel_id": "9242049"}, {"ref": "kenkanayama/house-price-traning-japanese-memo-1", "kernel_id": "9474171"}, {"ref": "kenkanayama/fork-of-house-price-traning-1", "kernel_id": "9590558"}, {"ref": "matt4byu/house-prices-analysis-with-caret", "kernel_id": "9717527"}, {"ref": "bahadrkelez/kernel63a99c7653", "kernel_id": "9291152"}, {"ref": "jagadeesh06/house-price-eda-imputation-random-forest", "kernel_id": "9206436"}, {"ref": "shreyatiwari/advanced-regression-techniques", "kernel_id": "9214206"}, {"ref": "dnreddy/catboost-regression-house-pricese-predection", "kernel_id": "9232351"}, {"ref": "ee33hhee/house-prices", "kernel_id": "9019944"}, {"ref": "joshuayeo95/house-prices-preprocessing-eda-modelling", "kernel_id": "9021618"}, {"ref": "abhaydhiman/predicting-house-price", "kernel_id": "9599546"}, {"ref": "aaaaaa321/houses", "kernel_id": "9881066"}, {"ref": "riteshbajpai/kernel286474cd6c", "kernel_id": "9131886"}, {"ref": "carlmcbrideellis/recursive-feature-elimination-rfe-example", "kernel_id": "9241550"}, {"ref": "carlmcbrideellis/hyperparameter-grid-search-simple-example", "kernel_id": "9223134"}, {"ref": "etahnwi/housing-pred", "kernel_id": "9161059"}, {"ref": "ashwinkaurav/house-compt", "kernel_id": "9209961"}, {"ref": "dhsong13/house-price-regression-v1", "kernel_id": "9322714"}, {"ref": "lukaszborecki/house-prices-regression-training-0-136-log-rmse", "kernel_id": "9708554"}, {"ref": "harshtiwari462/advance-house-sales-prediction", "kernel_id": "9451410"}, {"ref": "ansh8755/how-to-deal-with-missing-values", "kernel_id": "9987642"}, {"ref": "shingosakamoto/normal-linear-regression", "kernel_id": "9332160"}, {"ref": "eeqmeung/house-prices-tensorflow", "kernel_id": "9942984"}, {"ref": "sohumgakhar/housing-prices", "kernel_id": "9753086"}, {"ref": "sandeep7257/detailed-exploratory-analysis-with-deep-learning", "kernel_id": "9048500"}, {"ref": "giniya/giniya-house-price-v1", "kernel_id": "9104761"}, {"ref": "sashabadmaev/housepricesbyalexbadmaev", "kernel_id": "9727442"}, {"ref": "sashabadmaev/housesbybadmaev", "kernel_id": "9773654"}, {"ref": "abikshitnayak/advance-regression", "kernel_id": "9783977"}, {"ref": "antonyanto/house-price-prediction-with-low-bias-and-variance", "kernel_id": "9492380"}, {"ref": "luciles/kernel17eb1b4f4d", "kernel_id": "9468761"}, {"ref": "nitindantu/house-predict-96-7", "kernel_id": "9061073"}, {"ref": "yuvarajv12/advanced-regression-technique", "kernel_id": "9531897"}, {"ref": "siddheshpujari/eda-and-prediction-of-house-price", "kernel_id": "9740016"}, {"ref": "wesleyneill/house-prices-walk-through-with-xgboost", "kernel_id": "9426572"}, {"ref": "nur988/house-price-using-random-forest", "kernel_id": "9592630"}, {"ref": "saiharsha1234/salesprice-prediction", "kernel_id": "9668187"}, {"ref": "vijayravinath/how-to-upload-a-competition", "kernel_id": "9426150"}, {"ref": "laya0127/house-prices-prediction", "kernel_id": "9930676"}, {"ref": "urayukitaka/onehot-and-ensemble-prediction", "kernel_id": "9122032"}, {"ref": "urayukitaka/house-prices-eda-for-categorical-data", "kernel_id": "9088240"}, {"ref": "urayukitaka/tsne-validation-ensemble-prediction-sale-price", "kernel_id": "9093776"}, {"ref": "urayukitaka/house-prices-eda-and-dimension-reduction", "kernel_id": "9018172"}, {"ref": "urayukitaka/house-prices-eda-and-rf-xgb-ensemble-prediction", "kernel_id": "9002820"}, {"ref": "gkedatan/gokcedastan", "kernel_id": "9434688"}, {"ref": "kevinchittilapilly/kernel2830210868", "kernel_id": "9241972"}, {"ref": "chaleecheappimolchai/comprehensive-pandas-eda", "kernel_id": "9056476"}, {"ref": "gauri1996/kagglecoursenotebook-machinelearningcompetitions", "kernel_id": "9776355"}, {"ref": "ibrahimbahbah/house-price-prediction-project", "kernel_id": "9694762"}, {"ref": "srilalithagarapati/house-price-prediction-using-regression-models", "kernel_id": "9861233"}, {"ref": "srilalithagarapati/house-price-prediction-exploratory-data-analysis", "kernel_id": "9923434"}, {"ref": "nguyncaoduy/house-pricing-prediction-fastai-tabular-learner", "kernel_id": "9171758"}, {"ref": "dineshdhakar24101997/salepricereg-for-first-timers-beginner", "kernel_id": "9346051"}, {"ref": "dineshdhakar24101997/saleprice-regression-beginner-friendly", "kernel_id": "9322410"}, {"ref": "rohitsharma0206/kernel2cf120a541", "kernel_id": "9280318"}, {"ref": "nxrprime/house-prices-hyperparameter-tuning-tutorial", "kernel_id": "9037520"}, {"ref": "pranavvp/housevp-da", "kernel_id": "9394215"}, {"ref": "sreemantri/kernel10ccc0cc2e", "kernel_id": "9294651"}, {"ref": "tofazzelhossain/house-prices-prediction-advanced-regression", "kernel_id": "9497826"}, {"ref": "thirtysixth/my-kernel36", "kernel_id": "9252414"}, {"ref": "paulorenatocastro/housing-prices-proj-01", "kernel_id": "9105005"}, {"ref": "priyanath/pricing-house-prediction", "kernel_id": "9795411"}, {"ref": "bagavathypriya/house-price-prediction-eda", "kernel_id": "9427643"}, {"ref": "bagavathypriya/house-price-prediction-feature-engineering", "kernel_id": "9456561"}, {"ref": "veer06b/house-for-sale-at-what-price", "kernel_id": "9627867"}, {"ref": "himankkavathekar/house-prices", "kernel_id": "9542207"}, {"ref": "vishalsharma22/house-price", "kernel_id": "9082313"}, {"ref": "spanda2/house-prices-3", "kernel_id": "9044639"}, {"ref": "nehabhandari1/house-price-01", "kernel_id": "9121662"}, {"ref": "rohansaxena1224/rohan-saxena-submission", "kernel_id": "9617748"}, {"ref": "rohansaxena1224/decision-tree-boston", "kernel_id": "9636176"}, {"ref": "rajneeshkumar0509/house-price-prediction-rajneesh", "kernel_id": "9009347"}, {"ref": "naimishsharma/house-price", "kernel_id": "9258268"}, {"ref": "teampycaret/house-prices-prediction-using-pycaret", "kernel_id": "9053589"}, {"ref": "kumarsiddharth747/house-price-2", "kernel_id": "9432682"}, {"ref": "kumarsiddharth747/house-price", "kernel_id": "9371534"}, {"ref": "kumarsiddharth747/house-price-3", "kernel_id": "9603450"}, {"ref": "nicolasmalloy/housing-predictions-correlation-trimming", "kernel_id": "9001881"}, {"ref": "rohandawar/fork-of-house-price-prediction", "kernel_id": "9099970"}, {"ref": "verakorzhova/kernel5ddb3ef040", "kernel_id": "9861303"}, {"ref": "matanwinstok/top-15-ml-fast-ai-tensorflow", "kernel_id": "9420897"}, {"ref": "nirajabhamidipati/kernel4f59d9b674", "kernel_id": "9234263"}, {"ref": "muhammadrehan444/house-prices-prediction-for-beginner", "kernel_id": "9329194"}, {"ref": "nandhagopalcs/kernel2571c93010", "kernel_id": "9065683"}, {"ref": "kareem3egm/learn-machine-learning-faster-1", "kernel_id": "9271522"}, {"ref": "meifelyuki/house-prices-random-forest-regression-analysis", "kernel_id": "9273518"}, {"ref": "maksmixailov/houses-3", "kernel_id": "9773102"}, {"ref": "maksmixailov/2-house-prices", "kernel_id": "9838718"}, {"ref": "orkonungr/2-house-prices-with-xgboost-regression-erken", "kernel_id": "9727133"}, {"ref": "christophermlee2/house-regression-analysis-1-beginning-approach", "kernel_id": "9952319"}, {"ref": "kaushikpasikanti/housing-kaggle", "kernel_id": "9734661"}, {"ref": "thanhhungnguyen/house-price-ver-2", "kernel_id": "9048917"}, {"ref": "neerajarora21dec/house-saleprice-regression", "kernel_id": "9068730"}, {"ref": "farji402/a-walk-through-with-xgboost", "kernel_id": "9574436"}, {"ref": "amirkatussupov/kernel75bf6b857d", "kernel_id": "9347799"}, {"ref": "sebastianserna/boston-house-price", "kernel_id": "9294390"}, {"ref": "adamkmec/ui1-kmec", "kernel_id": "9432958"}, {"ref": "adakibet/stacking-blending-top-21", "kernel_id": "9297213"}, {"ref": "adakibet/xgboost-house-prices", "kernel_id": "9075722"}, {"ref": "amalj99/housing-price-using-diff-reg-techniques", "kernel_id": "9340134"}, {"ref": "krishnasrujan/house-price-prediction-with-parameter-tuning", "kernel_id": "9633516"}, {"ref": "ankitarana/housing", "kernel_id": "9652994"}, {"ref": "mustafabozkurt/house-price-xgb-tuned", "kernel_id": "9809739"}, {"ref": "colinms/linear-regression-with-one-and-two-features", "kernel_id": "9050629"}, {"ref": "walzer55/house-prices", "kernel_id": "9074140"}, {"ref": "shivaligoyalin/house-price-predictions-py", "kernel_id": "9277306"}, {"ref": "mitceylan/titanicfunctioned", "kernel_id": "9172242"}, {"ref": "nakagawam/kdl20200428", "kernel_id": "9159601"}, {"ref": "nakagawam/kdl20200529", "kernel_id": "9769063"}, {"ref": "yuyuco777/kdl20200428", "kernel_id": "9160463"}, {"ref": "scottwalls/kernel1228409f12", "kernel_id": "9118115"}, {"ref": "adamskreby/3i0203-ui1", "kernel_id": "9432183"}, {"ref": "davidrivasphd/regression-with-stacking-light-gbm-xgboost", "kernel_id": "9344541"}, {"ref": "davidrivasphd/explanatory-data-analysis-house-prices", "kernel_id": "9351002"}, {"ref": "davidrivasphd/stacked-regressions-house-prices", "kernel_id": "9436646"}, {"ref": "davidrivasphd/analyses-of-regressions-models-house-prices", "kernel_id": "9698761"}, {"ref": "davidrivasphd/regularized-linear-models-house-prices", "kernel_id": "9746090"}, {"ref": "fidelio72/fidelio-s-housing-regression", "kernel_id": "9274750"}, {"ref": "mihirsharma3/housing-prices-prediction", "kernel_id": "9393166"}, {"ref": "puneetsharma007/house-price-prediction-proj", "kernel_id": "9415783"}, {"ref": "thisisivyliu/e-house-prices", "kernel_id": "9044334"}, {"ref": "iamsvp/feature-selection-and-catboost-for-housing-prices", "kernel_id": "9935940"}, {"ref": "kirillklyukvin/house-price-competition", "kernel_id": "9549956"}, {"ref": "ayushirastogi15/house-prediction", "kernel_id": "9226179"}, {"ref": "aruzhanturyskulova/kernel10face662b", "kernel_id": "9338819"}, {"ref": "danilofornari/kernel45b366382a", "kernel_id": "9385133"}, {"ref": "yelamankakimzhanov/endtem-yelaman", "kernel_id": "9341987"}, {"ref": "nurseitabdiraimov/house-price", "kernel_id": "9335923"}, {"ref": "kaitohonda/house-price", "kernel_id": "9376165"}, {"ref": "abylyessenbekov/kernel75ec72a77a", "kernel_id": "9346303"}, {"ref": "zhibeknurazhy/endterm", "kernel_id": "9344891"}, {"ref": "kosukehagiwara/kernelf359cbc4cb", "kernel_id": "9294972"}, {"ref": "thomaswoolley/house-price-engineering-predictions", "kernel_id": "9324697"}, {"ref": "rohitsanam/house-price-prediction-using-ml", "kernel_id": "9823945"}, {"ref": "yoshitakaito/price-predict-ver2", "kernel_id": "9622005"}, {"ref": "yoshitakaito/price-predict-ver4", "kernel_id": "9927795"}, {"ref": "yoshitakaito/price-predict-ver3", "kernel_id": "9847269"}, {"ref": "sefercanaydas/kernel2777b11c29", "kernel_id": "9159680"}, {"ref": "sadikyetkin/kernel5e67c2ae17", "kernel_id": "9389158"}, {"ref": "llongago/kernel4c204fb4b1", "kernel_id": "9728878"}, {"ref": "ibrahimaoad/house-price-advanced", "kernel_id": "9083799"}, {"ref": "avnika22/lgbm-predicting-house-prices", "kernel_id": "9057287"}, {"ref": "kartikey24/housing-prices", "kernel_id": "9250699"}, {"ref": "shirishsharma/handling-missing-values-and-regression-models", "kernel_id": "9956008"}, {"ref": "kartikeya16/housing-prices-advance-ensemble-techniques", "kernel_id": "9183759"}, {"ref": "munmun2004/house-prices-for-begginers", "kernel_id": "9924232"}, {"ref": "yyoshioka/study-house-prices", "kernel_id": "9091259"}, {"ref": "katayu810/logreg-corr", "kernel_id": "9086506"}, {"ref": "naokinnn/simple-ridgecv-lassocv-model-top20", "kernel_id": "9448658"}, {"ref": "vishnu691999/eda-data-cleaning-feature-encoding-top-20", "kernel_id": "9276206"}, {"ref": "dmkravtsov/3-0-usa-house", "kernel_id": "9612392"}, {"ref": "dmkravtsov/p-3-house-price-prediction", "kernel_id": "9167030"}, {"ref": "nikhilsharma4/eda-and-ann-for-advance-regression-problem", "kernel_id": "9078049"}, {"ref": "mattshober/kernelfe8856b7bc", "kernel_id": "9275403"}, {"ref": "musabbelahouel/predicting-house-prices", "kernel_id": "9862644"}, {"ref": "kengofujii/house-prices-advanced-regression", "kernel_id": "9189951"}, {"ref": "hrittikaghosh/housing-prices", "kernel_id": "9026106"}, {"ref": "andrejkubis/semestr-lna-pr-ca", "kernel_id": "9547257"}, {"ref": "thenishant/housing-prices", "kernel_id": "9381540"}, {"ref": "guillermocampollo/house-pricing-svm-regression", "kernel_id": "9553866"}, {"ref": "satdhrutipaul/house-prices-basic-l2-regression", "kernel_id": "9226161"}, {"ref": "antoniohidalgo/keras-neuralnet-in-heterogeneous-field-data-set", "kernel_id": "9110432"}, {"ref": "matthewboutte/kernel64c724da41", "kernel_id": "9460221"}, {"ref": "amechinwose/housing-prices", "kernel_id": "9107651"}, {"ref": "ayushpandey1/housing-prices", "kernel_id": "9929681"}, {"ref": "mohammaddilshad/houses-prices-complete-solution", "kernel_id": "9368255"}, {"ref": "aishwaryapalit/house-price-prediction-for-beginners", "kernel_id": "9666276"}, {"ref": "muhamedyoussry/housing-prices", "kernel_id": "9405444"}, {"ref": "shyamsondagar/beginner-regression-modelling-top-15", "kernel_id": "9462875"}, {"ref": "sachinssingh/house-prices-prediction", "kernel_id": "9408710"}, {"ref": "leeeei/kaggle-club-house-prices-advanced-regression-te", "kernel_id": "9538670"}, {"ref": "srb2907/house-pricing-advance-regression-xgboost", "kernel_id": "9250282"}, {"ref": "hirimustafa/machine-learning-for-house-prices", "kernel_id": "9172210"}, {"ref": "harshkothari21/beginners-notebook-90-accuracy", "kernel_id": "9677798"}, {"ref": "harshkothari21/beginner-to-advance-95-accuracy", "kernel_id": "9780746"}, {"ref": "halilibrahimkozen/kernel6e45124939", "kernel_id": "9155582"}, {"ref": "railotrailot/house-prices-advanced-regression-techniques", "kernel_id": "9058075"}, {"ref": "wangjingyuan/predict-house-price", "kernel_id": "9018570"}, {"ref": "apurvgude/predict-house-prices", "kernel_id": "9612991"}, {"ref": "ryanbbrown/regression-eda-preprocessing", "kernel_id": "9197756"}, {"ref": "ryanbbrown/linear-regression", "kernel_id": "9274491"}, {"ref": "dldatascience/house-price-prediction", "kernel_id": "9034545"}, {"ref": "ouzhantuncel/sales-effects-by-years", "kernel_id": "9843032"}, {"ref": "abdilatifssou/simple-use-for-gbr", "kernel_id": "9097054"}, {"ref": "pateldeep7799/my-first-submission-of-house-prediction", "kernel_id": "9452430"}, {"ref": "merveyavuz/house-price-prediction", "kernel_id": "9153003"}, {"ref": "hasanigamberdiev/1-house-prices-solution-top-1", "kernel_id": "9595471"}, {"ref": "speakmathematics/regularized-linear-regression", "kernel_id": "9361936"}, {"ref": "aadityasinghal/predicting-house-prices-using-advanced-regression", "kernel_id": "9650560"}, {"ref": "devmdesai/approach", "kernel_id": "9937004"}, {"ref": "shashwatkhilar/kernel109c98ab72", "kernel_id": "9244371"}, {"ref": "zelihakaya/datascience", "kernel_id": "9166364"}, {"ref": "bargavrali/preprocessing-on-house-prices-advanced-regression", "kernel_id": "9606545"}, {"ref": "arphonesomzza/house-prices-int638-group-1", "kernel_id": "9161732"}, {"ref": "egadharmawan/regression-predictive-models", "kernel_id": "9791479"}, {"ref": "jessecohen/housing-prices-one-step-at-a-time", "kernel_id": "9479890"}, {"ref": "vedato/houseprice", "kernel_id": "9771272"}, {"ref": "sarveshwarmahapatro/kernel7748d1b65f", "kernel_id": "9390251"}, {"ref": "satishchaudhar/kernel5cbb5bbd49", "kernel_id": "9754630"}, {"ref": "bryanafreeman/housing-prices-lgbm", "kernel_id": "9347531"}, {"ref": "mani08/kernel4d88b4138f", "kernel_id": "9228449"}, {"ref": "mani08/kernel4123e1477f", "kernel_id": "9242244"}, {"ref": "manthankyada/house-prices-advance-regression", "kernel_id": "9599439"}, {"ref": "isaacmunyao/housing-compe-izzoh0ne191167537c", "kernel_id": "9493076"}, {"ref": "marcelolopesdasilva/comprehensive-data-exploration-with-python", "kernel_id": "9425691"}, {"ref": "chaitanyachandwani/house-price-regression", "kernel_id": "9446976"}, {"ref": "ramadianri/house-prices", "kernel_id": "9333557"}, {"ref": "stafansanthosh/kernel14f0380e27", "kernel_id": "9346772"}, {"ref": "rishikts/rishikts-houseprices", "kernel_id": "9310019"}, {"ref": "nekkittay/house-prices-notebook", "kernel_id": "9379801"}, {"ref": "sarikasrivastava/house-pricing-data-pre-processing-and-modelling", "kernel_id": "9394667"}, {"ref": "aengusleman/house-data", "kernel_id": "9392452"}, {"ref": "aengusleman/house-price-xgboost", "kernel_id": "9526518"}, {"ref": "vaibhavtakale/house-price-prediction", "kernel_id": "9587438"}, {"ref": "anrewsazontov/endterm-andrew-sazontov", "kernel_id": "9337947"}, {"ref": "mukhamedali1337/endterm-bas", "kernel_id": "9346323"}, {"ref": "nikemayer/adilgazym-houseprice", "kernel_id": "9340823"}, {"ref": "somyagupta1995/a-b-c-of-data-analytics", "kernel_id": "9340216"}, {"ref": "alisherindigo/endterm", "kernel_id": "9344760"}, {"ref": "alexgen/houseprices-end", "kernel_id": "9356121"}, {"ref": "zachbateman/kernel4589bd4675", "kernel_id": "9723411"}, {"ref": "pauliuskomskis/house-price-project", "kernel_id": "9559376"}, {"ref": "clairejingtong/xgboost-and-lightgbm-merged-model-prediction", "kernel_id": "9426953"}, {"ref": "gaurabbose01/house-prices-eda-v1", "kernel_id": "9401884"}, {"ref": "alexpotap/house-prices-a1expotap", "kernel_id": "9834090"}, {"ref": "ochuk1/housepricekoryakin", "kernel_id": "9544147"}, {"ref": "ginelledsouza/house-price-predictor", "kernel_id": "9469317"}, {"ref": "shalabh2906/house-prediction-top-3-leadership", "kernel_id": "9688646"}, {"ref": "rishabhpareekk/house-prices-dataset", "kernel_id": "9672892"}, {"ref": "yasminehemmati/house-prices-advanced-regression-techniques", "kernel_id": "9443891"}, {"ref": "adhirajbhagawati/advanced-house-price-prediction", "kernel_id": "9904821"}, {"ref": "yuankunsong/house-price-regression", "kernel_id": "9897327"}, {"ref": "abhishekchavhan/basic-regression", "kernel_id": "9846149"}, {"ref": "giacomoscarabello/house-prices-regression-model", "kernel_id": "9913332"}, {"ref": "huifangqin/house-analysis", "kernel_id": "9725277"}, {"ref": "mohameddjebloun/entry-to-house-pricing-competition", "kernel_id": "9944029"}, {"ref": "sameer121/stacked-regressions", "kernel_id": "9809412"}, {"ref": "lithickaanandavel/kernel6b37bf4468", "kernel_id": "9872186"}, {"ref": "chandrimad31/property-price-prediction-xgboost-with-hyperopt", "kernel_id": "9881116"}, {"ref": "romanvardugin/house-prices-art", "kernel_id": "9927282"}, {"ref": "haokunhefelix/notts20", "kernel_id": "9995586"}, {"ref": "loveall/automated-ml-tools-for-data-scientists", "kernel_id": "10708378"}, {"ref": "loveall/top-50-beginners-stacking-lgb-xgb", "kernel_id": "10659987"}, {"ref": "loveall/1-house-prices-solution-top-1", "kernel_id": "10626743"}, {"ref": "saisatish09/a-beginner-s-guide-to-feature-selection-methods", "kernel_id": "10140650"}, {"ref": "ahffan/house-price-prediction-eda-simple-model", "kernel_id": "10245646"}, {"ref": "biyuyang/predicting-house-prices-model-and-results", "kernel_id": "10446743"}, {"ref": "biyuyang/predicting-house-prices-data-processing-and-eda", "kernel_id": "10125684"}, {"ref": "gopalgoud/detailed-exploratory-data-analysis-with-python", "kernel_id": "10964504"}, {"ref": "adityabhat/house-prices-a-comprehensive-eda", "kernel_id": "10965372"}, {"ref": "zzaibis/housing-dataset-eda-modelling", "kernel_id": "10231007"}, {"ref": "zzaibis/advanced-feature-selection-for-housing-dataset", "kernel_id": "10737359"}, {"ref": "iosialectus/house-prices-linear-regression-plus", "kernel_id": "10712462"}, {"ref": "mksaad/house-price-adv-reg-gsearchcv-xgb-impute-encode", "kernel_id": "10666496"}, {"ref": "mksaad/house-price-adv-reg-gridsearchcv-rf", "kernel_id": "10667574"}, {"ref": "mksaad/house-price-adv-reg-gridsearchcv-xgb", "kernel_id": "10665942"}, {"ref": "mksaad/house-price-adv-reg-keras", "kernel_id": "10681756"}, {"ref": "mksaad/house-prices-advance-competetion", "kernel_id": "10553598"}, {"ref": "gvyshnya/feature-importance-case-study-ahp", "kernel_id": "10613342"}, {"ref": "gvyshnya/feature-importance-for-linear-regression-ahp-case", "kernel_id": "10653666"}, {"ref": "gvyshnya/feature-importance-for-elasticnet-ahp-case", "kernel_id": "10653756"}, {"ref": "tjshwuxi/comprehensive-data-exploration-with-python", "kernel_id": "10892603"}, {"ref": "finlay/kaggle-ch1", "kernel_id": "10854007"}, {"ref": "sherli/advanced-regression-xgboost-lightgbm-top-41", "kernel_id": "10746181"}, {"ref": "sherli/complete-guide-for-house-price-top-15", "kernel_id": "10450006"}, {"ref": "kylegilde/building-columntransformers-dynamically", "kernel_id": "10210156"}, {"ref": "raghavrastogi75/top-13-result-blending-is-the-key", "kernel_id": "10487658"}, {"ref": "socathie/baseline-get-dummies-and-random-forest", "kernel_id": "10870311"}, {"ref": "kurysh/house-prices-linear-regression", "kernel_id": "10457457"}, {"ref": "juminator/short-intro-to-dabl-for-eda-and-initial-models", "kernel_id": "10423080"}, {"ref": "ishivinal/sklearn-rapids-pandas", "kernel_id": "10444784"}, {"ref": "sridharaddagatla/house-price-prediction", "kernel_id": "10061529"}, {"ref": "floevan/all-the-basic-steps-to-do-regression", "kernel_id": "10724266"}, {"ref": "hoangnguyen719/gbr-hyper-param-tuning", "kernel_id": "10894732"}, {"ref": "saket019/score-0-149-detailed-eda-and-random-forest", "kernel_id": "10895453"}, {"ref": "estefaniamn/emnspark", "kernel_id": "10243664"}, {"ref": "victor191/learning-from-great-feature-engineering", "kernel_id": "10491230"}, {"ref": "victor191/predictive-models-up-1k-place-on-leaderboard", "kernel_id": "10353106"}, {"ref": "hroatti/kaggle-house-prices-howard", "kernel_id": "10802212"}, {"ref": "georgejeswin22/house-prices-prediction", "kernel_id": "10247289"}, {"ref": "franckepeixoto/house-prices-tensorflow-estimator", "kernel_id": "10227533"}, {"ref": "ashashiju/house-price-prediction", "kernel_id": "10238451"}, {"ref": "scatteredflo/2-stastics-example-house-price-200706", "kernel_id": "10510853"}, {"ref": "scatteredflo/ai-stastics-example-house-price-200612", "kernel_id": "10067256"}, {"ref": "sukhyun5/house-prices-random-forest-lm-xgboost", "kernel_id": "10531805"}, {"ref": "shaitender/10-lines-automl-automated-eda", "kernel_id": "10575365"}, {"ref": "lashamaev/house-price-predict", "kernel_id": "10300890"}, {"ref": "tbsoaresvalkms/xgbregressor-house-prices", "kernel_id": "10900383"}, {"ref": "plperez/house-prices-advanced-regression-techniques-in-r", "kernel_id": "10684854"}, {"ref": "fatihaslan1993/fatih-yildirim-kaggle-competition-house-prices", "kernel_id": "10782618"}, {"ref": "ggxgboostgg/house-price-introduction", "kernel_id": "10337014"}, {"ref": "ggxgboostgg/t-student-regression-with-bayesian-inference", "kernel_id": "10600011"}, {"ref": "soma62jp/house-price-lasso-exam", "kernel_id": "10769240"}, {"ref": "soma62jp/lightgbm-regression-exam", "kernel_id": "10787062"}, {"ref": "soma62jp/house-price-keras-exam", "kernel_id": "10826669"}, {"ref": "emoticn/houseprice-v1", "kernel_id": "10023834"}, {"ref": "ahmettezcantekin/pycaret-classification-regression-and-clustering", "kernel_id": "10916724"}, {"ref": "ahmettezcantekin/sweetviz-simple-and-quick-eda", "kernel_id": "10801224"}, {"ref": "ahmettezcantekin/house-price-prediction-pycaret-simple-guide", "kernel_id": "10682693"}, {"ref": "akshittandon96/house-value-regression", "kernel_id": "10065242"}, {"ref": "oceancode/linear-regression-for-house-prediction", "kernel_id": "10907305"}, {"ref": "fannynyc2015/house-price-regression", "kernel_id": "10748328"}, {"ref": "kollidatta/house-price-predictions-rf-xgb-gradient-boosting", "kernel_id": "10463368"}, {"ref": "vishnu123/advance-regression-house-price-prediction-top-15", "kernel_id": "10438708"}, {"ref": "srivignesh/an-introduction-to-pyspark-apache-spark-in-python", "kernel_id": "10697724"}, {"ref": "srivignesh/introduction-to-ann-in-tensorflow", "kernel_id": "10679594"}, {"ref": "srivignesh/techniques-for-handling-the-missing-data", "kernel_id": "10605003"}, {"ref": "srivignesh/data-preprocessing-for-house-price-prediction", "kernel_id": "10587083"}, {"ref": "srivignesh/techniques-of-feature-extraction", "kernel_id": "10664320"}, {"ref": "srivignesh/feature-selection-techniques", "kernel_id": "10650799"}, {"ref": "srivignesh/categorical-feature-encoding-techniques", "kernel_id": "10641149"}, {"ref": "reenhe/housing-prices-with-different-regressors", "kernel_id": "10432843"}, {"ref": "mandypham/house-prices-prediction", "kernel_id": "10482439"}, {"ref": "yamazyra/kernel2a2459fc6f", "kernel_id": "10283779"}, {"ref": "inshalkhan/house-price-analysis-with-python", "kernel_id": "10451997"}, {"ref": "mshadab/housing-sales-price-prediction", "kernel_id": "10005269"}, {"ref": "quannhoang/housing-data-exploration-and-regression", "kernel_id": "10639395"}, {"ref": "ankur123xyz/eda-outlier-handling-stacking-top-11", "kernel_id": "10740282"}, {"ref": "adnanzaidi/pycaret-introduction-classification-regression", "kernel_id": "10506710"}, {"ref": "kaushalk/house-price-prediction-top-4", "kernel_id": "10132121"}, {"ref": "phunghieu/linear-regression-from-scratch", "kernel_id": "10608829"}, {"ref": "ganift/house-prices-prediction", "kernel_id": "10560974"}, {"ref": "pratikkejriwal/comprehensive-regression-analysis", "kernel_id": "10500160"}, {"ref": "jsultanah/regression-from-scratch", "kernel_id": "10404034"}, {"ref": "yoshi679/practice-house", "kernel_id": "10004769"}, {"ref": "yoshi679/practice-restaurant-revenue", "kernel_id": "10051472"}, {"ref": "hepraph/detailed-data-cleaning-eda-stacking", "kernel_id": "10182143"}, {"ref": "jaishanker/predicting-house-prices", "kernel_id": "10972184"}, {"ref": "nirbhai/houseprice-prediction", "kernel_id": "10296088"}, {"ref": "marychrisgo/tm-task-house-pricing-prediction", "kernel_id": "10030811"}, {"ref": "rk39051/house-price-prediction-using-randomforestregressor", "kernel_id": "10054657"}, {"ref": "armanatory/house-price-prediction", "kernel_id": "10515972"}, {"ref": "kg2411/house-pricing", "kernel_id": "10645705"}, {"ref": "googlemkunthe/house-price-prediction", "kernel_id": "10895761"}, {"ref": "elikapati/hpp-by-ace", "kernel_id": "10059628"}, {"ref": "mcamli/advanced-house-regression-top-25", "kernel_id": "10670483"}, {"ref": "uditrawat23/house-prediction", "kernel_id": "10762746"}, {"ref": "harshaggarwal7/house-price-prediction-eda-model", "kernel_id": "10532809"}, {"ref": "vishalpentakota/house-price-prediction-advance-regression", "kernel_id": "10147923"}, {"ref": "cdefreitas/regularized-linear-models", "kernel_id": "10781883"}, {"ref": "devleenabanerjee/advanced-housing-price-using-xgboost", "kernel_id": "10276160"}, {"ref": "pawan2905/house-priceing-eda-and-model", "kernel_id": "10184717"}, {"ref": "mdomain1/exercise-machine-learning-competitions", "kernel_id": "10336574"}, {"ref": "hzk123/house-price-prediction-a-beginner-s-approach", "kernel_id": "10036602"}, {"ref": "sripaadsrinivasan/xgboost-house-price-advanced-regression", "kernel_id": "10348124"}, {"ref": "notlucasp/housingregression-clean-py", "kernel_id": "10822160"}, {"ref": "yakinoki/house-prices", "kernel_id": "10759991"}, {"ref": "godeep48/house-predict-regression-analysis", "kernel_id": "10284327"}, {"ref": "vibeeshk/house-price-prediction-new", "kernel_id": "10326527"}, {"ref": "yashaswivunnava/house-price-precition-linear-models", "kernel_id": "10324776"}, {"ref": "reviveer/simple-regression-for-beginners", "kernel_id": "10710741"}, {"ref": "eftekharhossain/house", "kernel_id": "10213100"}, {"ref": "doncovkonstantin/house-prices-prediction-using-metalearner", "kernel_id": "10168298"}, {"ref": "mohdaltamash/house-pricing", "kernel_id": "10285879"}, {"ref": "alexisbcook/exercise-intro-to-automl", "kernel_id": "10027938"}, {"ref": "bgdogan/house-prices-advanced-regression-techniques", "kernel_id": "10503789"}, {"ref": "rajithst/house-price-prediction-using-advance-regression", "kernel_id": "10883959"}, {"ref": "nayalaunda/houseprice-prediction-0-133-on-test-set", "kernel_id": "10780513"}, {"ref": "rayanaay/auto-encoder-approach-for-regression-predictions", "kernel_id": "10885807"}, {"ref": "sezingungor/house-prices-project", "kernel_id": "10950008"}, {"ref": "johnade91/kernel2d070ce679", "kernel_id": "10011098"}, {"ref": "arachauhan/linear-regression-assumptions-notebook-1", "kernel_id": "10542460"}, {"ref": "niteshchaurasiya/simple-exploratory-data-analysis-ensemble-modeling", "kernel_id": "10033513"}, {"ref": "iyara1/deepanalysis-and-modelling-using-linear-regression", "kernel_id": "10467767"}, {"ref": "lordjoedin/house-price-regression-model", "kernel_id": "10888622"}, {"ref": "prathyushark/house-pricing", "kernel_id": "10275323"}, {"ref": "sy362503/regression-analysis-with-house-price", "kernel_id": "10332278"}, {"ref": "sy362503/regression-backward-elimination-with-house-price", "kernel_id": "10297202"}, {"ref": "uditnagar5/housing-prices-top-19-stacking", "kernel_id": "10743531"}, {"ref": "sainathkrothapalli/complete-eda-fe-feature-selection-using-lasso", "kernel_id": "10194150"}, {"ref": "gordotron85/stacking-regressors-top-5", "kernel_id": "10726230"}, {"ref": "renatodantas/housepricing-random-forest-regression", "kernel_id": "10351287"}, {"ref": "viroviro/house-price-prediction", "kernel_id": "10099466"}, {"ref": "kmtk49/houseprice-using-optuna-lightgbm-tuner", "kernel_id": "10371197"}, {"ref": "khangtran97/cac-pp-hoc-thong-ke-2020", "kernel_id": "10613700"}, {"ref": "victorvianaom/exercise-intro-to-automl", "kernel_id": "10889353"}, {"ref": "sergiogp81/missing-values-in-r", "kernel_id": "10793368"}, {"ref": "vvineeth/comprehensive-data-exploration", "kernel_id": "10531125"}, {"ref": "hrbathia260698/house-prices-advanced-regression-techniques", "kernel_id": "10930988"}, {"ref": "norbi88/kernel51d690a4d9", "kernel_id": "10820231"}, {"ref": "malavika8/dataanalysis", "kernel_id": "10464225"}, {"ref": "nkrajash/house-prices-linearreg-lasso-ridge-rf-gbm-xgboost", "kernel_id": "10140497"}, {"ref": "debossisme/top10-intermediateeda-modeling-submission", "kernel_id": "10848327"}, {"ref": "yanaitti/various-regression-machine-learning-for-beginners", "kernel_id": "10874306"}, {"ref": "maarten4000/predicting-house-prices-with-machine-learning", "kernel_id": "10943486"}, {"ref": "kasayu/regularized-linear-models", "kernel_id": "10069527"}, {"ref": "kasayu/simplestart", "kernel_id": "10690730"}, {"ref": "kasayu/edapractice", "kernel_id": "10668193"}, {"ref": "snanilim/feature-engineering-prediction-house-prices", "kernel_id": "10214356"}, {"ref": "gulshanb/house-prices-advance-regression-techniques", "kernel_id": "10861645"}, {"ref": "diptipawar/ensemble-learning-voting-regression", "kernel_id": "10211217"}, {"ref": "diptipawar/house-prize-prediction-ensemble-learning", "kernel_id": "10172290"}, {"ref": "sandhyaselvamani/house-prediction-with-random-and-gridsearchcv", "kernel_id": "10389284"}, {"ref": "anand8krishna/house-price-adv-reg-problem-null-value-handling", "kernel_id": "10016652"}, {"ref": "adnan5abanovic/houses", "kernel_id": "10813415"}, {"ref": "jackmleitch/house-prices-advanced-regression-technique", "kernel_id": "10160909"}, {"ref": "pkmisra/advance-house-price-prediction-kaggle", "kernel_id": "10131937"}, {"ref": "vedantmankar/house-prices-prediction", "kernel_id": "10287531"}, {"ref": "sdhudan/house-price-prediction-rmse-0-14", "kernel_id": "10300996"}, {"ref": "shubham10i/house-prices-regression-analysis", "kernel_id": "10777651"}, {"ref": "taghredsalah199/handling-strings-and-missing-values", "kernel_id": "10664603"}, {"ref": "abdelwahed43/house-prices-prediction-competition", "kernel_id": "10489108"}, {"ref": "abdelwahed43/cleaning-and-visualization-data", "kernel_id": "10525578"}, {"ref": "udhhav/analysis", "kernel_id": "10870910"}, {"ref": "akhilshekkari21/basic-eda", "kernel_id": "10060664"}, {"ref": "deepaarumugam47/house-price-exploratory-data-analysis", "kernel_id": "10660328"}, {"ref": "deepaarumugam47/fork-of-house-price-exploratory-data-analys-544540", "kernel_id": "10999022"}, {"ref": "truptisatsangi/kernel314ed8113d", "kernel_id": "10918947"}, {"ref": "ritusaikia/beginner-eda-feature-engineering-modeling", "kernel_id": "10208588"}, {"ref": "anuadetayo/kernel4bcbd7085c", "kernel_id": "10294405"}, {"ref": "theslwayne/housing-data", "kernel_id": "10295022"}, {"ref": "j0thu777/housepriceanalysis", "kernel_id": "10568921"}, {"ref": "rishabh6377/advanced-regression-kaggle-competition", "kernel_id": "10791100"}, {"ref": "bhatvikas/house-price-prediction", "kernel_id": "10685397"}, {"ref": "jemmygreen/houseprice-prediction", "kernel_id": "10288569"}, {"ref": "salmaneunus/house-prices-advanced-improved-score", "kernel_id": "10546394"}, {"ref": "salmaneunus/house-prices-advanced-competition", "kernel_id": "10388697"}, {"ref": "walras/fork-of-house-price-prediction", "kernel_id": "10258397"}, {"ref": "nehakumar31/house-price-prediction-5", "kernel_id": "10013375"}, {"ref": "helenek/house-prices-random-forest", "kernel_id": "10324250"}, {"ref": "diasctiago/house-prices-advanced-regression-techniques-td", "kernel_id": "10345059"}, {"ref": "ligtfeather/ensemble-learning-with-eda", "kernel_id": "10984426"}, {"ref": "aiueonoff/house-prices-26", "kernel_id": "10590455"}, {"ref": "aiueonoff/sample", "kernel_id": "10979848"}, {"ref": "sharon89/kernel3bdf189a6b", "kernel_id": "10413379"}, {"ref": "rraghav5600/house-price", "kernel_id": "10058711"}, {"ref": "brunoarchetti/house-prices-beginner", "kernel_id": "10386113"}, {"ref": "shreya7777/kernel339d9bd167", "kernel_id": "10661937"}, {"ref": "sajalchandra/kernel45a3240536", "kernel_id": "10706747"}, {"ref": "md19sn/kernel-final", "kernel_id": "10845960"}, {"ref": "artem99/prediction-sklearn", "kernel_id": "10240558"}, {"ref": "gyj1601/kernel4b4f1c7130", "kernel_id": "10336871"}, {"ref": "gyj1601/group-project", "kernel_id": "10352557"}, {"ref": "shyamprasath/house-price-prediction-eda-feature-engineering", "kernel_id": "10958660"}, {"ref": "shyamprasath/houseprice-prediction-xgboost", "kernel_id": "10921814"}, {"ref": "muralidhar123/house-rent-prediction-test", "kernel_id": "10106181"}, {"ref": "sidagar/house-prices-using-linear-regression", "kernel_id": "10933282"}, {"ref": "sahilthegame123/randomforest-imputer", "kernel_id": "10616518"}, {"ref": "pycoders/house-price", "kernel_id": "10444286"}, {"ref": "twinkle0705/a-comprehensive-guide-to-handle-missing-values", "kernel_id": "10053175"}, {"ref": "alexalex02/house-prices-advanced-feature-engineering", "kernel_id": "10721808"}, {"ref": "mariyamjose/house-price-prediction", "kernel_id": "10138034"}, {"ref": "vasumathi298/house-price-prediction-regression-models", "kernel_id": "10485852"}, {"ref": "prashdash112/housing-data-prediction", "kernel_id": "10165289"}, {"ref": "liyan20001108/naitmaohouseprice", "kernel_id": "10265894"}, {"ref": "junaidcharaniya/housing-price-prediction-ensemble-approach", "kernel_id": "10226801"}, {"ref": "zheren0301/xgb-regressor-v1", "kernel_id": "10405713"}, {"ref": "musama619/beginner-house-price-feature-engineering", "kernel_id": "10421586"}, {"ref": "seitanist/hous-price-pycaret", "kernel_id": "10660938"}, {"ref": "rascalempire/advance-house-prediction-regression-problem", "kernel_id": "10688140"}, {"ref": "grayrhino/housing-price-prediction-gcp-automl-cost-80", "kernel_id": "10962686"}, {"ref": "krishnaheroor/exploratory-data-analysis-feature-engineering", "kernel_id": "10157418"}, {"ref": "raj26000/housing-prices-prediction-with-multiple-models", "kernel_id": "10289772"}, {"ref": "aliffadli/house-price-advanced-regression", "kernel_id": "10053619"}, {"ref": "charleschen12/2nd-project-housing-rf", "kernel_id": "10563012"}, {"ref": "simmygupta/house-pricing", "kernel_id": "10660560"}, {"ref": "turhancankargin/example-submission", "kernel_id": "10675338"}, {"ref": "kietanhhoang/houseprices-xgbregressor-top-3", "kernel_id": "10574147"}, {"ref": "adityaayyagari/house-prices-advanced-regression-top-2-solution", "kernel_id": "10876504"}, {"ref": "pratham0gupta/house-price-prediction-eda-and-data-processing", "kernel_id": "10101412"}, {"ref": "chulhocho/house-prices-random-forest-lm-xgboost", "kernel_id": "10514702"}, {"ref": "venkateshniec/predict-house-prices-using-xgboost", "kernel_id": "10467763"}, {"ref": "jeyachithrasankar/house-price-prediction-pipeline-gridsearchcv", "kernel_id": "10042543"}, {"ref": "chowandrew/kaggle", "kernel_id": "10469818"}, {"ref": "saraswatitiwari/kernel602ca7e255", "kernel_id": "10117874"}, {"ref": "sangeethamanoharan/house-prices-gridsearch-gradientboosting-regressor", "kernel_id": "10045055"}, {"ref": "anirudhgowdar/kernel65fc9e103b", "kernel_id": "10472670"}, {"ref": "arunmohan003/linear-models-from-zero-to-hero-price-prediction", "kernel_id": "10283198"}, {"ref": "gerlandore/advanced-house-regression-eda-model-comparison", "kernel_id": "10673752"}, {"ref": "carlmcbrideellis/exploratory-data-analysis-using-pandas-pivot-table", "kernel_id": "10895124"}, {"ref": "carlmcbrideellis/feature-selection-using-the-boruta-shap-package", "kernel_id": "10904515"}, {"ref": "carlmcbrideellis/house-prices-permutation-importance-example", "kernel_id": "10343643"}, {"ref": "carlmcbrideellis/house-prices-my-score-using-only-overallqual", "kernel_id": "10368065"}, {"ref": "carlmcbrideellis/gaussian-process-regression-sample-script", "kernel_id": "10254728"}, {"ref": "carlmcbrideellis/house-prices-eda-in-one-line-pandas-profiling", "kernel_id": "10206123"}, {"ref": "carlmcbrideellis/house-prices-how-to-work-offline", "kernel_id": "10292951"}, {"ref": "lyamlim/my-first-kaggle-competition-linear-regression", "kernel_id": "10536035"}, {"ref": "kanikakhattar/house-price-eda-ridge-lasso-random-forest", "kernel_id": "10213092"}, {"ref": "sammedkamate/house-pricing-advanced-regression", "kernel_id": "10642831"}, {"ref": "ansh8755/advance-regression-techniques-house-price", "kernel_id": "10162790"}, {"ref": "nizarhaider/top-25-in-5-steps", "kernel_id": "10627293"}, {"ref": "karanshrestha3486/regression", "kernel_id": "10626090"}, {"ref": "ahmedalghaliz/house-prices-advance-competetion-keras", "kernel_id": "10541177"}, {"ref": "fathialasali/housing-prices-advanced-comp", "kernel_id": "10554973"}, {"ref": "sevimsevilgen1/house-price-data-analysis-and-regression-models", "kernel_id": "10326277"}, {"ref": "hamamatcha/linear-regression-using-cov", "kernel_id": "10831077"}, {"ref": "zidanejain/house-prices-eda-linear-regression-gboost", "kernel_id": "10031210"}, {"ref": "wolfdale229/exploratory-data-analysis-cali-housing-beginner", "kernel_id": "10362437"}, {"ref": "snehaas/house-price-prediction", "kernel_id": "10980127"}, {"ref": "imsparsh/advanced-linear-regression-eda-regularization", "kernel_id": "10906625"}, {"ref": "alexander85/housing-price-regression", "kernel_id": "10509763"}, {"ref": "diogomoura/kernel615aa96670", "kernel_id": "10459706"}, {"ref": "matheuscarrillo/regress-o-linear", "kernel_id": "10854597"}, {"ref": "anjanisrivastava/house-price-prediction-kaggle-full-project", "kernel_id": "10649986"}, {"ref": "ryanchan911/house-price-regression-tree-svm-nn", "kernel_id": "10113066"}, {"ref": "vishantsharma/top-23-with-basic-xgboostregressor", "kernel_id": "10790663"}, {"ref": "hirototakaoka/first", "kernel_id": "10638645"}, {"ref": "nareshbhat/outlier-the-silent-killer", "kernel_id": "10533521"}, {"ref": "nareshbhat/eda-within-snap-of-fingers", "kernel_id": "10614316"}, {"ref": "nareshbhat/data-visualization-in-just-one-line-of-code", "kernel_id": "10626466"}, {"ref": "nareshbhat/starter-guide-to-build-nlp-ml-model-in-pycaret", "kernel_id": "10930879"}, {"ref": "linyuwang/house-price-eda-and-interpretable-ml", "kernel_id": "10350891"}, {"ref": "lokeswarreddy/using-ann", "kernel_id": "10313663"}, {"ref": "manish00gupta/housingpriceprediction-for-novice", "kernel_id": "10448054"}, {"ref": "shivamchaurasia/house-price-prediction-advance-regression", "kernel_id": "10778753"}, {"ref": "yatikapaliwal/housepriceanalysistechniqueswithfeatureengineering", "kernel_id": "10807941"}, {"ref": "mahmoodhoseini/a-tidy-and-well-commented-top7-keras", "kernel_id": "10095138"}, {"ref": "alisharifi2000/house-prices-advanced-regression-techniques", "kernel_id": "10018973"}, {"ref": "chinugupta/houseprice-prediction", "kernel_id": "10103094"}, {"ref": "sagarjiyani/house-price-prediction-xgboost", "kernel_id": "10361721"}, {"ref": "kavithasubramaniyan/automatedhouse-sale-price-prediction-r", "kernel_id": "10674039"}, {"ref": "sandeep3003/simple-linear-regression", "kernel_id": "10142024"}, {"ref": "shivaabhijith/train-model-on-whole-data-using-xgboost", "kernel_id": "10754115"}, {"ref": "includeharish/house-prediction", "kernel_id": "10710929"}, {"ref": "dhirendraddsingh/xgboost-and-hpo-for-top-7-score", "kernel_id": "10614012"}, {"ref": "charumakhijani/house-price-prediction-top-6-on-leaderboard", "kernel_id": "10600045"}, {"ref": "amritgrg/high-accuracy-with-detailed-eda-feature-engineer", "kernel_id": "10407276"}, {"ref": "kazuyahiruma/kernel5e930ef356", "kernel_id": "10338045"}, {"ref": "kazuyahiruma/kernel4d1c9d766e", "kernel_id": "10203414"}, {"ref": "kazuyahiruma/kernel45ac1f6e15", "kernel_id": "10464488"}, {"ref": "jcasanuevam/step-by-step-walkthrough-score-0-14516", "kernel_id": "10314274"}, {"ref": "sho123/house-predict", "kernel_id": "10052884"}, {"ref": "kareem3egm/learn-machine-learning-faster-2", "kernel_id": "10126111"}, {"ref": "kumarranjankamila/applied-machine-learning", "kernel_id": "10708575"}, {"ref": "shreyansbinaykiya/housing-price-prediction", "kernel_id": "10788894"}, {"ref": "houdabenbrahim/kernel1f0154316d", "kernel_id": "10250394"}, {"ref": "houdabenbrahim/perfect", "kernel_id": "10381923"}, {"ref": "ankitarana/boston-house", "kernel_id": "10414938"}, {"ref": "seyedmohsenalavi/xgboost", "kernel_id": "10736524"}, {"ref": "souravsamrat/house-price-top-25-with-simple-code-upvote", "kernel_id": "10540011"}, {"ref": "farukoz/house-prices-advanced-regression-techniques", "kernel_id": "10523634"}, {"ref": "ahmdtolba/housing-prediction", "kernel_id": "10062931"}, {"ref": "sofiamartinsson/house-prices", "kernel_id": "10100687"}, {"ref": "rehankhandaya/housing-prices-simplified", "kernel_id": "10246566"}, {"ref": "dushantkumar/house-price-analysis-1", "kernel_id": "10176297"}, {"ref": "nakagawam/20200624", "kernel_id": "10319591"}, {"ref": "yuyuco777/kdl20200529", "kernel_id": "10319049"}, {"ref": "zeeniye/house-price-advanced", "kernel_id": "10262536"}, {"ref": "ohorodnikovs/house-pricing", "kernel_id": "10134623"}, {"ref": "mahymohamed/exercise-machine-learning-competitions", "kernel_id": "10478825"}, {"ref": "datafan07/beginner-eda-with-feature-eng-and-blending-models", "kernel_id": "10414932"}, {"ref": "lobodemonte/predicting-housing-prices-w-gradientboost", "kernel_id": "10972783"}, {"ref": "pariaagharabi/predict-sales-prices-with-useful-python-libraries", "kernel_id": "10365857"}, {"ref": "atanuchowdhury/house-price-prediction", "kernel_id": "10419731"}, {"ref": "jamiexujiu/house-prediction", "kernel_id": "10966671"}, {"ref": "trinadhsingaladevi/house-price-prediction", "kernel_id": "10361898"}, {"ref": "sharanbabu/house-price-prediction-using-advanced-regression", "kernel_id": "10308923"}, {"ref": "yashanchaliya/handling-missing-values-house-prices", "kernel_id": "10698647"}, {"ref": "predator4hack/titanic", "kernel_id": "10465312"}, {"ref": "mrhippo/house-price-prediction-and-analysis-with-dsh", "kernel_id": "10384893"}, {"ref": "yoshitakaito/price-predict-ver5", "kernel_id": "10176681"}, {"ref": "rahulsawhney/housing-advanced-regression", "kernel_id": "10671576"}, {"ref": "ttalbitt/good-ol-feature-engineering-linreg", "kernel_id": "10691326"}, {"ref": "erikayoohwang/practice", "kernel_id": "10427223"}, {"ref": "ashish1rk/linear-regression", "kernel_id": "10011546"}, {"ref": "yasunorisato/backbone-of-exercise-intro-to-automl", "kernel_id": "10511775"}, {"ref": "sumittak/house-sale-prices-top-2", "kernel_id": "10632643"}, {"ref": "chen2222/lightgbm-tuning-step-by-step-optuna-0-122-lb", "kernel_id": "10904450"}, {"ref": "chen2222/feature-selection-mdi-perm-rfe-in-depth-review", "kernel_id": "10901192"}, {"ref": "sewngparker/sewng-parker", "kernel_id": "10286813"}, {"ref": "sagmok/adv-house", "kernel_id": "10205549"}, {"ref": "arindambaruah/price-predictions-using-mulitple-models", "kernel_id": "10297366"}, {"ref": "megr25/house-prices-all-columns-linear-and-xgboost", "kernel_id": "10947270"}, {"ref": "siddheshnawale/housing-prices-forecasts", "kernel_id": "10194599"}, {"ref": "akhilmunjal/beginner-attempt", "kernel_id": "10040422"}, {"ref": "akhilmunjal/beginner-attempt-randomforest-hyperparameter-tune", "kernel_id": "10624143"}, {"ref": "eerohiltunen/missing-data-handling-visualization-lasso", "kernel_id": "10553171"}, {"ref": "vikasbhadoria/advanced-house-price-predictions", "kernel_id": "10185725"}, {"ref": "dmkravtsov/3-2-house-prices", "kernel_id": "10939643"}, {"ref": "markvrahas/predictsaleprice", "kernel_id": "10187961"}, {"ref": "praneethkumar12/pycaret-session", "kernel_id": "10929298"}, {"ref": "ezeanyi/house-prices-prediction", "kernel_id": "10539113"}, {"ref": "dtanaka/kaggle-house-prices-model01", "kernel_id": "10113601"}, {"ref": "nagulans/nagulan-housing", "kernel_id": "10829408"}, {"ref": "kovendhanv/beginner-exploratory-data-analysis-with-python", "kernel_id": "10472709"}, {"ref": "benediktfuchsmuc/bfuchs-houseprice-tidyverse-dplyr-v1-0-0", "kernel_id": "10674959"}, {"ref": "adarsh001/eda-linear-model-full-explained", "kernel_id": "10254906"}, {"ref": "mohitkaushik12/basic-data-analysis-and-feature-engineering", "kernel_id": "10480997"}, {"ref": "davehurley/linear-tree-based-models-using-pipelines", "kernel_id": "10279579"}, {"ref": "rizbaltazar/one-way-anova-hypothesis-testing", "kernel_id": "10399489"}, {"ref": "italomarcelo/house-data-prices-italo-costa", "kernel_id": "10578169"}, {"ref": "hongjinwon/house-price-lasso-ridge-randomforest-gbm-tree", "kernel_id": "10431142"}, {"ref": "yuinakamaru/house-prices3", "kernel_id": "10324285"}, {"ref": "nasiha/house-prices-prediction-random-forest-regressor", "kernel_id": "10561837"}, {"ref": "kartikasharma/house-prices-prediction", "kernel_id": "10720958"}, {"ref": "ayushpandey1/using-pytorch-on-hpp", "kernel_id": "10969121"}, {"ref": "elifapaydn/housing-prices-eda", "kernel_id": "10350863"}, {"ref": "vagifa/house-price-prediction-public-lb-score-0-13345", "kernel_id": "10556178"}, {"ref": "subhrajitbordoloi/first-submission-by-a-net-developer", "kernel_id": "10610510"}, {"ref": "hayouniachref/house-pricing-model", "kernel_id": "10702608"}, {"ref": "harishlakshmanan/house-prices", "kernel_id": "10524832"}, {"ref": "krtarun/data-exploration-with-python-for-begineers", "kernel_id": "10096128"}, {"ref": "biswajitsarangi/house-price-prediction-i", "kernel_id": "10514061"}, {"ref": "harshkothari21/plotting-in-python-learn-step-by-step", "kernel_id": "10075698"}, {"ref": "harshkothari21/beginners-notebook-all-ml-models-eda", "kernel_id": "10302347"}, {"ref": "christianlillelund/tutorial-use-isolationforest-to-detect-outliers", "kernel_id": "10651561"}, {"ref": "christianlillelund/house-prices-xgboost-bayesianoptimization", "kernel_id": "10258210"}, {"ref": "satishgunjal/tutorial-k-fold-cross-validation", "kernel_id": "10648796"}, {"ref": "satishgunjal/ensemble-learning-bagging-boosting-stacking", "kernel_id": "10774896"}, {"ref": "harshsdw/house-price-prediction-90-accuracy", "kernel_id": "10852977"}, {"ref": "nameno199/house-price-eda-and-visualisation", "kernel_id": "10683218"}, {"ref": "mirmahathirmohammad/kaggle-house-price", "kernel_id": "10414957"}, {"ref": "zjj097/making-use-of-models-introduced-in-islr", "kernel_id": "10963243"}, {"ref": "koyamayukiteru/house-prices6", "kernel_id": "10318716"}, {"ref": "koyamayukiteru/house-price7", "kernel_id": "10448349"}, {"ref": "anuragbantu/stacking-ensemble-learning-beginner-s-guide", "kernel_id": "10950809"}, {"ref": "zijie0304/end-to-end-process-xgboost-13k-score-top-3", "kernel_id": "10274848"}, {"ref": "kanaaihara/kernel4df8100db7", "kernel_id": "10153947"}, {"ref": "kanaaihara/kernela99524632a", "kernel_id": "10284948"}, {"ref": "mohtashimnawaz/ongoing-house-price-advanced-regression-techniques", "kernel_id": "10490765"}, {"ref": "mohtashimnawaz/types-of-data-statistics-and-proximity-measures", "kernel_id": "10877824"}, {"ref": "vladislavzlotsky/my-model-advanced-house-pricing-competition", "kernel_id": "10596276"}, {"ref": "sagu123/house-price-prediction-by-sagnik", "kernel_id": "10831830"}, {"ref": "yatok36789/cheatsheet-date-helpers", "kernel_id": "10779411"}, {"ref": "ankurguhamazumdar/kernel684c9d7178", "kernel_id": "10000354"}, {"ref": "hariramgkrishnan/regression-analysis-visualization-using-plotly", "kernel_id": "10308291"}, {"ref": "jaydewz/gridsearchcv-with-pipelines", "kernel_id": "10856535"}, {"ref": "rahulmakwana/house-price-prediction-top-14-xgboost", "kernel_id": "10741068"}, {"ref": "alincijov/correlation-covariance-numpy-from-scratch", "kernel_id": "10083870"}, {"ref": "viveksharma123456789/kernel7f0f5a1c50", "kernel_id": "10956660"}, {"ref": "unajtheb/house-prices-xg-boost-randomized-grid-search-29", "kernel_id": "10780054"}, {"ref": "dain5832/exercise-intro-to-automl", "kernel_id": "10229306"}, {"ref": "maksimbahdanchyk/housing-prices-good-start-for-ml-0-12768", "kernel_id": "10203873"}, {"ref": "aakritiaggarwal/training-adv-house-price-pred", "kernel_id": "10402814"}, {"ref": "shashankshekhar59/house-prices-advanced-regression-techniques-eda", "kernel_id": "10254827"}, {"ref": "antesurlin/intershiptask", "kernel_id": "10623673"}, {"ref": "abrahamanderson/housing-price-analysis-and-regression", "kernel_id": "10655105"}, {"ref": "pravdychvitalii/hp-processing-and-prediction-pvs", "kernel_id": "10432144"}, {"ref": "pavan2101/eda-house-prices", "kernel_id": "10826710"}, {"ref": "teramera/kernel53857db265", "kernel_id": "10849001"}, {"ref": "rubixcoder19/house-price-prediction", "kernel_id": "10380197"}, {"ref": "basarkayastudent/eda-house-prices", "kernel_id": "10693532"}, {"ref": "tomonorisasaki/eda-xgboost-exercise", "kernel_id": "10636390"}, {"ref": "perfectiods/house-prices-prediction-stacked-regression-model", "kernel_id": "10098941"}, {"ref": "donaldst/stackedregressionspart2", "kernel_id": "10285746"}, {"ref": "siddheshsreedar/housing-price-predicton", "kernel_id": "10835511"}, {"ref": "danielcabral/house-prices-top-38", "kernel_id": "10026326"}, {"ref": "pranav0198/house-prices-advanced-regression-techniques", "kernel_id": "10477803"}, {"ref": "pranav0198/house-prices-and-playing-with-features", "kernel_id": "10931823"}, {"ref": "tonibp/houses-by-tbp", "kernel_id": "10997740"}, {"ref": "nafemuhtasim/applied-machine-learning", "kernel_id": "10326445"}, {"ref": "abhishekkarna2/housing-price-prediction", "kernel_id": "10932429"}, {"ref": "hepavi/house-price", "kernel_id": "10509480"}, {"ref": "yurimuniz/predicting-house-prices", "kernel_id": "10297765"}, {"ref": "edsondacostaeduardo/house-prices-for-beginners-lasso-xgboost-gbr", "kernel_id": "10257145"}, {"ref": "rxnach/house-price-advanced-regression", "kernel_id": "10588850"}, {"ref": "mohamedjafirashraf/house-price-prediction-with-rfs-and-decision-tree", "kernel_id": "10891187"}, {"ref": "rajgandhi98/housepriceregressionmodel", "kernel_id": "10417363"}, {"ref": "niladrib/surprise-housing-ridge-and-lasso-regression", "kernel_id": "10780248"}, {"ref": "aadityajaiswal/adv-house-pred", "kernel_id": "10223806"}, {"ref": "aadityajaiswal/random-forest-xgb-ridge-lasso-all-in-one", "kernel_id": "10118750"}, {"ref": "hidekimotohashi/house-prices-02", "kernel_id": "10795247"}, {"ref": "marianvinas/house-data-prediction-using-python", "kernel_id": "10300992"}, {"ref": "ammarsahyoun/house-prices-regressor-eda", "kernel_id": "10382910"}, {"ref": "sagnik1511/housing-prices-prediction-s-agnik1511-v2-0", "kernel_id": "10450018"}, {"ref": "sagnik1511/housing-price-3", "kernel_id": "10407990"}, {"ref": "onurakkse/feature-visualization-applied-machine-learning", "kernel_id": "10315695"}, {"ref": "jayantmathur/house-prediction-competition", "kernel_id": "10919485"}, {"ref": "takaomikadokura7069/hands-on-vol2", "kernel_id": "10028638"}, {"ref": "takaomikadokura7069/hands-on-vol2-drill", "kernel_id": "10785042"}, {"ref": "deepachalapathi/house-price-regression", "kernel_id": "10997686"}, {"ref": "jacobvoyles/house-prices-analysis", "kernel_id": "10044386"}, {"ref": "sanketshrikantpatil/pycaret-regression", "kernel_id": "10916718"}, {"ref": "yashnalawade/my-housing", "kernel_id": "10650786"}, {"ref": "sahityasamala/housing-price", "kernel_id": "10293929"}, {"ref": "harryliuhanyao/pca-fa-cluster", "kernel_id": "10188505"}, {"ref": "silvarodrigo/exercise-intro-to-automl", "kernel_id": "10567948"}, {"ref": "pranshunema/housingprices", "kernel_id": "10522253"}, {"ref": "jrosvigan/house-prices-advanced-regression-techniques", "kernel_id": "10336833"}, {"ref": "akahana/house-price-2", "kernel_id": "10023688"}, {"ref": "raedjamaalwallace/housing-mse0-11", "kernel_id": "10888208"}, {"ref": "pratikbarua/house-pricing-predictions", "kernel_id": "10020449"}, {"ref": "sachinkumargupta/house-price-prediction", "kernel_id": "10235503"}, {"ref": "sandrotan/house-price-prediction-r2-0-9", "kernel_id": "10124175"}, {"ref": "skaman/random-forest-regression", "kernel_id": "10483692"}, {"ref": "sawyersongy/sawyer", "kernel_id": "10046519"}, {"ref": "vyombhatia/sale-price", "kernel_id": "10946670"}, {"ref": "samitmhatre/house-price-prediction-random-forest-regression", "kernel_id": "10197324"}, {"ref": "yuvinneguerrero/polloshermanos-proyecto2", "kernel_id": "10657949"}, {"ref": "darkknight98/how-a-data-scientist-buys-a-house-a-tutorial", "kernel_id": "10934296"}, {"ref": "keshavsoni0612/kernel111199d45a", "kernel_id": "10887611"}, {"ref": "shanmugarajar/housing-price-eda-regression-2nd-competition", "kernel_id": "10580968"}, {"ref": "alduston/my-first-kaggle-comp", "kernel_id": "10440668"}, {"ref": "georgeodigwe/housing-prices-various-regression-techniques", "kernel_id": "10380608"}, {"ref": "javivaleiras/my-first-project-please-help-me-to-improve", "kernel_id": "10362968"}, {"ref": "amanchauhan2801/house-prediction-with-different-regression-models", "kernel_id": "10919643"}, {"ref": "vanbrewski/house-prices-lin-reg-rand-forest-class-tree", "kernel_id": "10655920"}, {"ref": "shimashimatry/kernel206dca0d46", "kernel_id": "10357125"}, {"ref": "mary14wh/lacoste", "kernel_id": "10463806"}, {"ref": "kaggluserjp/kernel4136fd523d", "kernel_id": "10613870"}, {"ref": "kaggluserjp/kernel17e5acfa4e", "kernel_id": "10614240"}, {"ref": "kaggluserjp/kernel4136fd523d-case2", "kernel_id": "10878767"}, {"ref": "kaggluserjp/kernel4136fd523d-case1", "kernel_id": "10880298"}, {"ref": "kaggluserjp/fork-of-fork-of-kernel4136fd523d", "kernel_id": "10740232"}, {"ref": "kaggluserjp/fork-of-kernel4136fd523d", "kernel_id": "10738582"}, {"ref": "soichiroiino/randomforest", "kernel_id": "10266844"}, {"ref": "kaito1412/kernel1123137e57", "kernel_id": "10449435"}, {"ref": "kaito1412/house-prices-after", "kernel_id": "10589149"}, {"ref": "fukaeryo/kernel473cf5b069", "kernel_id": "10890187"}, {"ref": "jumpingmandt/housing-price-prediction-using-different-ml", "kernel_id": "10938462"}, {"ref": "alessandromarceddu/house-price-prediction", "kernel_id": "10914498"}, {"ref": "felipeoliveiraml/housing-prices-boosting", "kernel_id": "10513511"}, {"ref": "arch11/linear-regression-gradient-descent-from-scratch", "kernel_id": "10262341"}, {"ref": "arch11/house-prices-advanced-regression-techniques", "kernel_id": "10302035"}, {"ref": "srinjoybhuiya/data-visualisation-random-forest-regressor-model", "kernel_id": "10651495"}, {"ref": "fatimaafifi/house-price-adv-gridsearchcv-gbr", "kernel_id": "10665953"}, {"ref": "harisankarsivankutty/housing-price", "kernel_id": "10298179"}, {"ref": "nihalhaboush/house-price-adv-reg", "kernel_id": "10665956"}, {"ref": "doaajaber/house-price-adv-gridsearchcv", "kernel_id": "10665948"}, {"ref": "fayrouzfarra/house-price-adv-reg-gridsearchcv", "kernel_id": "10665935"}, {"ref": "nahedalsharif/hous-price-adv-re-gridsearchcv-xgb", "kernel_id": "10665941"}, {"ref": "nahedalsharif/hous-price-adv-reg-gridsearchcv-rf", "kernel_id": "10667659"}, {"ref": "asiaahmedabushawish/house-price-advanced-regression", "kernel_id": "10755570"}, {"ref": "asiaahmedabushawish/house-price-adv-reg-gridsearch", "kernel_id": "10665943"}, {"ref": "masagokoji/kerneldab062a70d", "kernel_id": "10557481"}, {"ref": "masagokoji/kernel1579e4274f", "kernel_id": "10647416"}, {"ref": "masagokoji/kernel32742f1c6a", "kernel_id": "10718542"}, {"ref": "abdalazez/exercise-intro-to-automl", "kernel_id": "10351944"}, {"ref": "abdalazez/randomforest-house-price-ml-prediction", "kernel_id": "10555623"}, {"ref": "abdalazez/xgboost-house-price-ml-prediction", "kernel_id": "10554482"}, {"ref": "abdalazez/house-price-ml-prediction", "kernel_id": "10547134"}, {"ref": "abdalazez/house-prices-advanced-with-keras", "kernel_id": "10681618"}, {"ref": "abdalazez/new-house-price-adv-reg-keras", "kernel_id": "10834983"}, {"ref": "mahmoudalhallaq/advancedhousepricemahmoud", "kernel_id": "10606207"}, {"ref": "kareemaburejila/fork-of-house-price-advanced-competition", "kernel_id": "10636089"}, {"ref": "kareemaburejila/house-price-advanced-competition", "kernel_id": "10554618"}, {"ref": "kareemaburejila/house-prices-advanced-regression-techniques-m-v", "kernel_id": "10680889"}, {"ref": "kareemaburejila/x-train-object-cols", "kernel_id": "10680880"}, {"ref": "islammohaisen/advanced-home-price-xgboost", "kernel_id": "10770135"}, {"ref": "zakariatafesh/house-price-ml", "kernel_id": "10554599"}, {"ref": "zakariatafesh/house-price-final", "kernel_id": "10555385"}, {"ref": "raghadjaber/house-prices-advanced-regression-2", "kernel_id": "10743952"}, {"ref": "raghadjaber/gridsearch-xgboosting-for-advanced-house-price", "kernel_id": "10599232"}, {"ref": "raghadjaber/rf-for-advance-house-prices", "kernel_id": "10635744"}, {"ref": "mohgsam/house-price-comp", "kernel_id": "10579498"}, {"ref": "ahmedmurad1990/house-prices", "kernel_id": "10681955"}, {"ref": "ahmedmurad1990/house-price-adv-reg-keras", "kernel_id": "10683598"}, {"ref": "ahmedmurad1990/fork-of-house-price-advanced-competition", "kernel_id": "10554855"}, {"ref": "ahmedmurad1990/house-price-advanced-competition", "kernel_id": "10541016"}, {"ref": "ahmedmurad1990/house-price-ml", "kernel_id": "10635422"}, {"ref": "ahmedmurad1990/houseprice-xg", "kernel_id": "10633136"}, {"ref": "ahmedmurad1990/houseprice5", "kernel_id": "10633614"}, {"ref": "ahmedmurad1990/houseprice6", "kernel_id": "10633690"}, {"ref": "ahmedmurad1990/houseprice-comb", "kernel_id": "10633773"}, {"ref": "ahmedmurad1990/house-prices-advanced-regression-techniqu", "kernel_id": "10631648"}, {"ref": "ahmedmurad1990/houseprice", "kernel_id": "10632493"}, {"ref": "mohammedkuheil/house-prices-keras", "kernel_id": "10616457"}, {"ref": "mohammedkuheil/house-prices-advance", "kernel_id": "10545604"}, {"ref": "mohammedkuheil/house-price-adv-reg-keras", "kernel_id": "10683600"}, {"ref": "rishabdhar1619/house-prices-prediction", "kernel_id": "10781653"}, {"ref": "climbcluster/kernel6a58db3875", "kernel_id": "10467902"}, {"ref": "nonenone159/kernel55b8640753", "kernel_id": "10716567"}, {"ref": "mizunomasayuki/kernel47f056ac4d", "kernel_id": "10589951"}, {"ref": "nagi0729/fork-of-fork-of-kerneldb999555db", "kernel_id": "10753188"}, {"ref": "alnsubstrate/kernel3665f8dd71", "kernel_id": "10645869"}, {"ref": "ga2o3nw/kernel7fe5122c66", "kernel_id": "10554762"}, {"ref": "momoveliadeviluke/isozaki-1", "kernel_id": "10792925"}, {"ref": "eisukeyamamoto/kernel7f59804d72", "kernel_id": "10342648"}, {"ref": "hideyukimimura/kernel15435f6224", "kernel_id": "10342914"}, {"ref": "hyyuki/kernel68f7c69331", "kernel_id": "10355855"}, {"ref": "gackji/kernel32c329f329", "kernel_id": "10342512"}, {"ref": "tasyuyoshida/kernel4dc073c473", "kernel_id": "10468629"}, {"ref": "crym79/kerneld5250492c0", "kernel_id": "10456523"}, {"ref": "onizima/kernel5e9e3fd443", "kernel_id": "10735608"}, {"ref": "junasa/kernel228439bc28", "kernel_id": "10533305"}, {"ref": "sh9999/kernel606e70c318", "kernel_id": "10468525"}, {"ref": "sh9999/kernel4289d34299", "kernel_id": "10504438"}, {"ref": "supersaiyan444/kernel4e90e2fb29", "kernel_id": "10468044"}, {"ref": "c612035044/kernel91ff6cf6de", "kernel_id": "10551789"}, {"ref": "shunnosukemori/kernel65c0c20b7a", "kernel_id": "10548860"}, {"ref": "syotogo/kernel2c146252dd", "kernel_id": "10588557"}, {"ref": "dbatao/kernel2f80fc9d78", "kernel_id": "10567074"}, {"ref": "dbatao/kernel7fccc7d367", "kernel_id": "10939539"}, {"ref": "yuzucham/kernel7976e5d723", "kernel_id": "10488775"}, {"ref": "tatsuyaichikawa/kernel1aecad3276", "kernel_id": "10912465"}, {"ref": "tatsuyaichikawa/kernel3fee297d5e", "kernel_id": "10967172"}, {"ref": "tatsuyaichikawa/comprehensive-data-exploration-with-python", "kernel_id": "10966623"}, {"ref": "engnadersarsour/exercise-intro-to-automl", "kernel_id": "10359636"}, {"ref": "engnadersarsour/house-price-compitition", "kernel_id": "10553517"}, {"ref": "engnadersarsour/house-price-adv-reg-keras", "kernel_id": "10799665"}, {"ref": "engnadersarsour/house-price-with-keras", "kernel_id": "10681651"}, {"ref": "maimahdi/housepricedata", "kernel_id": "10555829"}, {"ref": "maimahdi/housepricerf", "kernel_id": "10596171"}, {"ref": "maimahdi/houseprice-ad", "kernel_id": "10889365"}, {"ref": "naoooooo/kernel58d59df7c7", "kernel_id": "10280803"}, {"ref": "skysky123/kernel487af41a19", "kernel_id": "10720423"}, {"ref": "kenyabando/kernel345dd6b731", "kernel_id": "10579290"}, {"ref": "sahilmaheshwari/top-10-through-30-lines-of-code", "kernel_id": "10950099"}, {"ref": "nakaih/kernel4289d34299", "kernel_id": "10590399"}, {"ref": "hamaday/kernel2b8ba5d773", "kernel_id": "10469967"}, {"ref": "amandeepsingh12/2-house-price-prediction", "kernel_id": "10850728"}, {"ref": "momomoriririnonono/kernel4b7a76d237", "kernel_id": "10719437"}, {"ref": "suih514/kernel3c25d50844", "kernel_id": "10640141"}, {"ref": "tyuapds789/kernel1a70fa0197", "kernel_id": "10715312"}, {"ref": "sodiumlz/kernel5dedaf5826", "kernel_id": "10609783"}, {"ref": "yoshidatakuma/kernel365f22c28d", "kernel_id": "10588994"}, {"ref": "akarifukuta/kernel11ac3964f1", "kernel_id": "10555909"}, {"ref": "mikiharuka/kernel51ca454c29", "kernel_id": "10967177"}, {"ref": "daikan/housepriceskadai", "kernel_id": "10467580"}, {"ref": "batmetal/kernel7e9f4ba717", "kernel_id": "10346517"}, {"ref": "lingyuxiong/gradient-boosting-top-3", "kernel_id": "10355112"}, {"ref": "kychkin/kernel1ec10ae54d", "kernel_id": "10301004"}, {"ref": "takasakiren/kernel3deb8ff74a", "kernel_id": "10531797"}, {"ref": "takasakiren/kernel38957bf0bf", "kernel_id": "10670278"}, {"ref": "katharinepires/making-regression-for-the-house-prices", "kernel_id": "10748470"}, {"ref": "micky92/house-price-some-of-regression-models", "kernel_id": "10326046"}, {"ref": "kotaseki/kernel7c2d12b73d", "kernel_id": "10625267"}, {"ref": "kotaseki/kernel2f1e54cd56", "kernel_id": "10501751"}, {"ref": "bunyutamura/kernel465fd1e218", "kernel_id": "10576482"}, {"ref": "snakao/kernel6ae80eeb62", "kernel_id": "10890982"}, {"ref": "ddddededon/kernel7722e1c030", "kernel_id": "10966439"}, {"ref": "takady/data-science-e", "kernel_id": "10589155"}, {"ref": "silvermino/kernel5ab8093723", "kernel_id": "10411730"}, {"ref": "silvermino/kernelc22ec62793", "kernel_id": "10447948"}, {"ref": "yutamiyazaki/kernel5f458871ea", "kernel_id": "10611614"}, {"ref": "hirotakakawachi/kernel68be16a86f", "kernel_id": "10587829"}, {"ref": "kakihiro/kernel6c3490d47e", "kernel_id": "10429045"}, {"ref": "naoyukikadota/kernel3ffae4963c", "kernel_id": "10698203"}, {"ref": "catgigi/kernel9398ddb6d9", "kernel_id": "10468852"}, {"ref": "yukiyoneda/kernel72f249f2b8", "kernel_id": "10656278"}, {"ref": "yukiyoneda/kernel17fdeed0dc", "kernel_id": "10883222"}, {"ref": "ttanimoto/kernel6307b9e176", "kernel_id": "10813194"}, {"ref": "tom727/kernel385d433d60", "kernel_id": "10555253"}, {"ref": "arumamis/kernel3d0bb37736", "kernel_id": "10555208"}, {"ref": "atsuyamiyake/kernel440c9be64d", "kernel_id": "10912452"}, {"ref": "momomorishita/datascience-elasticnet", "kernel_id": "10961783"}, {"ref": "ttkkssmm/fork-of-kernel700c0cfe2a", "kernel_id": "10960313"}, {"ref": "ttkkssmm/kernel782463a624", "kernel_id": "10466410"}, {"ref": "ttkkssmm/kernel700c0cfe2a", "kernel_id": "10586804"}, {"ref": "rinayano/kernel1c4c73ab3b", "kernel_id": "10466777"}, {"ref": "tokudata20g1/kernel3a64aeb124", "kernel_id": "10532043"}, {"ref": "tokudata20g1/house-prices", "kernel_id": "10875639"}, {"ref": "unajug5/kernel7c07273161", "kernel_id": "10701746"}, {"ref": "unajug5/kernel8df30b3cbb", "kernel_id": "10965967"}, {"ref": "vamshikrishnagadde/first-submisison", "kernel_id": "10351786"}, {"ref": "sssatokichi/kernel54da7d7-10-3", "kernel_id": "10588339"}, {"ref": "daisukeakiyama/kernel74ace89229", "kernel_id": "10463895"}, {"ref": "shubhamsri1991/house-price-prediction-using-advanced-regression", "kernel_id": "10949515"}, {"ref": "saitour/fork-of-20200729", "kernel_id": "10995605"}, {"ref": "simonsin/house-price-predication-2020", "kernel_id": "10789837"}, {"ref": "shamoshamosishamo/kernel5e4322fd41", "kernel_id": "10709284"}, {"ref": "shamoshamosishamo/kernel66a7f2e368", "kernel_id": "10719317"}, {"ref": "masudanaoki/kernel74656e6832", "kernel_id": "10583544"}, {"ref": "masudanaoki/kernel68e9221e70", "kernel_id": "10720775"}, {"ref": "poyochan/kernel2369b34b16", "kernel_id": "10468256"}, {"ref": "hamabekenji/kernel4edb815b50", "kernel_id": "10589124"}, {"ref": "khaledgehadhelal/house-prices-advanced-regression", "kernel_id": "10737659"}, {"ref": "vishnuprasaddalai/housing-prices-prediction-regression-model", "kernel_id": "10440098"}, {"ref": "kenntasugimotooo/kernel761b696d63", "kernel_id": "10468485"}, {"ref": "koukiharada/kernel5f075d8711", "kernel_id": "10965295"}, {"ref": "julianbenny/houseprices-linearregression", "kernel_id": "10660026"}, {"ref": "hrtyagi/housing-price-ml-beginners-top-10", "kernel_id": "10510391"}, {"ref": "group02/kernel2d77df7c3f", "kernel_id": "10768421"}, {"ref": "aneeshkrishna/93-accuracy-using-linear-regression-ridge-lasso", "kernel_id": "10847153"}, {"ref": "minami11/kernel2ad4dd934f", "kernel_id": "10965774"}, {"ref": "keiichiroh/kernel47dac7041f", "kernel_id": "10839382"}, {"ref": "g4team/hazureti-hensuherasu", "kernel_id": "10466835"}, {"ref": "g4team/kernel7ae4bfddb0", "kernel_id": "10588489"}, {"ref": "g4team/kernel5555524c1f", "kernel_id": "10828774"}, {"ref": "odasatomi/kernel7f657ccc7c", "kernel_id": "10589127"}, {"ref": "muhammadumerzia/house-regression", "kernel_id": "10810761"}, {"ref": "georgehu2004/regularized-linear-regression-and-xgboost", "kernel_id": "10751655"}, {"ref": "yutohisamatsu/comprehensivedataexploration-sutra-practice", "kernel_id": "10964366"}, {"ref": "polotimma/first-competition", "kernel_id": "10624874"}, {"ref": "sipradas/comprehensive-data-exploration-with-python", "kernel_id": "10959714"}, {"ref": "filipjuric/housingcompetition", "kernel_id": "10850644"}, {"ref": "vet516lec/ensemble-xgboost-lightgbm", "kernel_id": "10626502"}, {"ref": "zoranadozdor/kernel480a715d5a", "kernel_id": "10609739"}, {"ref": "anwesande/0-14-for-dnn-with-mice", "kernel_id": "10771113"}, {"ref": "patrycjawalicka/r-house-prices-decision-tree-random-forest-pca", "kernel_id": "10759151"}, {"ref": "patrycjawalicka/r-house-prices-ridge-lasso-elastic-net-pcr-pls", "kernel_id": "10731032"}, {"ref": "qroshi/kernel60a0caf16b", "kernel_id": "10918289"}, {"ref": "seeohareeye/kaggle-predict-house-price-cg-v1", "kernel_id": "10825911"}, {"ref": "piotrglinka/house-regression-2", "kernel_id": "10827049"}, {"ref": "piotrglinka/house-regression", "kernel_id": "10776189"}, {"ref": "nitikapathania/housing-price", "kernel_id": "10694922"}, {"ref": "datawarriors/house-price-predection-using-regression", "kernel_id": "10970926"}, {"ref": "guillaumesaes/exploratory-data-analysis", "kernel_id": "10870905"}, {"ref": "syuhei23/house-prices-multiple-regression-analysis", "kernel_id": "10743690"}, {"ref": "shashwatsanjeev/kernel16f0053526", "kernel_id": "10919855"}, {"ref": "sharavankumarkarnati/housing-price", "kernel_id": "10837304"}, {"ref": "pmsiddharth/house-price-pred", "kernel_id": "10991026"}, {"ref": "markoivanetic/kernel62438cff30", "kernel_id": "10912842"}, {"ref": "tecnologiamorpheus/morpheus-houseprice-v01", "kernel_id": "10957764"}, {"ref": "w4ngz1/mergedversion", "kernel_id": "10992554"}, {"ref": "aamirhussain/comprehensive-feature-engineering-tutorial", "kernel_id": "11434436"}, {"ref": "ragrawal/kernel2dab38316c", "kernel_id": "11003365"}, {"ref": "ragrawal/pleasanton-ml-group-meeting", "kernel_id": "11100152"}, {"ref": "sophieb/eda-and-baseline-models", "kernel_id": "11358702"}, {"ref": "arpitsolanki14/eda-basic-models-housing-prices-regression", "kernel_id": "11009640"}, {"ref": "suniljs/random-forest-variable-reduction-techniques", "kernel_id": "11239094"}, {"ref": "venkatesht/hybrid-svm-benchmark-approach", "kernel_id": "11636739"}, {"ref": "realrudymartin/notebookb5a4945795", "kernel_id": "11812969"}, {"ref": "vennaa/cheatsheet-100-plotly-part-1-basic-f1ffed", "kernel_id": "11687659"}, {"ref": "aanchal204/cheatsheet-pygal-interactive-plots", "kernel_id": "11447099"}, {"ref": "mirandora/houseprices-tutorial-code", "kernel_id": "11670247"}, {"ref": "amandalaz/home-price-prediction", "kernel_id": "11817084"}, {"ref": "yashudua/prices-eda-prediction-private-0-00044", "kernel_id": "11113955"}, {"ref": "rsesha/comparing-autoviml-to-pycaret-multiple-data", "kernel_id": "11375105"}, {"ref": "ankush89/data-exploration-an-algorithmic-approach", "kernel_id": "11803697"}, {"ref": "kylegilde/fit-pipeline-ames", "kernel_id": "11470541"}, {"ref": "kylegilde/extracting-scikit-feature-names-importances", "kernel_id": "11411128"}, {"ref": "masumrumi/a-pyspark-tutorial-with-house-pricing", "kernel_id": "11386662"}, {"ref": "nachiket273/simple-xgboost-with-gridsearch", "kernel_id": "11169341"}, {"ref": "shams1/house-price-prediction", "kernel_id": "11272061"}, {"ref": "bigdatajw/stacked-regressions-top-4-on-leaderboard", "kernel_id": "11612417"}, {"ref": "ianchute/generalized-additive-model-gammagam", "kernel_id": "11491090"}, {"ref": "infof4221wang/houseprice-optuna-framework-blending-model", "kernel_id": "11595990"}, {"ref": "agnibesh1988/house-price-prediction-by-using-elasticnetcv", "kernel_id": "11250508"}, {"ref": "pkusirius/r-submission", "kernel_id": "11848997"}, {"ref": "vin725k/house-sale-price-prediction", "kernel_id": "11372123"}, {"ref": "itsmuriuki/house-prices-regression", "kernel_id": "11369694"}, {"ref": "sachinichake/eda-hypothesis-testing-model-building", "kernel_id": "11607940"}, {"ref": "salazarslytherin/intro-to-ml-full-kaggle-mini-course", "kernel_id": "11170051"}, {"ref": "javendano585/house-prices-analysis", "kernel_id": "11671783"}, {"ref": "rajshukla4696/house-price-prediction", "kernel_id": "11433968"}, {"ref": "fedeman/house-prices-predictions-leader-board-analysis", "kernel_id": "11087390"}, {"ref": "nitishabharathi/is-dropping-the-missing-value-columns-a-good-idea", "kernel_id": "11690874"}, {"ref": "kumarsrikant/my-first-notebook", "kernel_id": "11181698"}, {"ref": "kunjan6902/house-price-pred-outlierremoval", "kernel_id": "11633322"}, {"ref": "kunjan6902/house-prize-pred-best", "kernel_id": "11610134"}, {"ref": "shishu1421/eda-house-price-predicton", "kernel_id": "11530760"}, {"ref": "nailsonboaz/house-pricing-classifier", "kernel_id": "11385346"}, {"ref": "sekhar0146/house-prices-prediction-gradientboosting", "kernel_id": "11650382"}, {"ref": "renesis88/house-prices-autogluon-lb-0-12884", "kernel_id": "11219620"}, {"ref": "renesis88/autogluon-house-price-lb-0-12290", "kernel_id": "11359030"}, {"ref": "bysong/practice-eda-and-modeling", "kernel_id": "11107108"}, {"ref": "agnihotri/house-price-regression-exploratory-analysis", "kernel_id": "11505208"}, {"ref": "amahbubul85/predicting-house-price", "kernel_id": "11620850"}, {"ref": "kwaleed/house-prices-competition", "kernel_id": "11048606"}, {"ref": "blessondensil294/beginners-keras-nn-house-prices-prediction", "kernel_id": "11872880"}, {"ref": "chetwanirahul/data-analysis-with-python-using-google-collab", "kernel_id": "11293370"}, {"ref": "felipefiorini/house-prices-xgboost-outlier-detect", "kernel_id": "11831193"}, {"ref": "felipefiorini/house-prices-cnn", "kernel_id": "11454529"}, {"ref": "khurram6968/find-missing-values-in-house-price-data", "kernel_id": "11028439"}, {"ref": "srivignesh/techniques-to-prevent-overfitting", "kernel_id": "11012183"}, {"ref": "rjhelges/r-demo", "kernel_id": "11906452"}, {"ref": "ankur123xyz/save-time-resources-auto-hyperparameter-tuning", "kernel_id": "11650731"}, {"ref": "panks03/optimizing-neural-network-with-kerastuner", "kernel_id": "11884149"}, {"ref": "merlecorey/kdv-house-prices", "kernel_id": "11334225"}, {"ref": "abh8017/data-exploration-visualisation-prediction", "kernel_id": "11502347"}, {"ref": "cmodingwa/predicting-housing-prices-using-xgboost", "kernel_id": "11202445"}, {"ref": "surendra87/linear-regression-sgdc-classfier", "kernel_id": "11016019"}, {"ref": "rafanthx13/house-prices-eda-and-regression", "kernel_id": "11358313"}, {"ref": "duygut/eda-with-tableau-end-to-end-ml-price-prediction", "kernel_id": "11474955"}, {"ref": "nahumsa/prediction-using-xgboost", "kernel_id": "11906921"}, {"ref": "ghaiyur/xgb-vcv1", "kernel_id": "11279883"}, {"ref": "vipulsharma18/eda-house-prices", "kernel_id": "11393561"}, {"ref": "canamika27/house-price-prediction", "kernel_id": "11107084"}, {"ref": "hichamamchtkou/housing-price-prediction", "kernel_id": "11356631"}, {"ref": "hrysto97/house-prices-prediction", "kernel_id": "11144065"}, {"ref": "gbtestolin/exercise-intro-to-automl", "kernel_id": "11581818"}, {"ref": "rahulsingh731/house-prices-prediction-auto-eda", "kernel_id": "11151477"}, {"ref": "km31259/house-price-prediction", "kernel_id": "11108023"}, {"ref": "allaboutdatascience/house-price-prediction-using-pyspark", "kernel_id": "11654688"}, {"ref": "f1r455/linear-regression-with-forward-selection", "kernel_id": "11545086"}, {"ref": "c7934597/getting-to-the-top-4-in-house-prices", "kernel_id": "11218479"}, {"ref": "prakharprasad/ames-house-prices-full-project", "kernel_id": "11808128"}, {"ref": "pakkanmeric/house-prices-elasticnet", "kernel_id": "11756358"}, {"ref": "mhrizvi/simple-code-top-30-in-competition", "kernel_id": "11322761"}, {"ref": "vitkov/just-try-to-solve", "kernel_id": "11987093"}, {"ref": "lailaelmahmoudi123/house-prices-data-visualization-with-plotly", "kernel_id": "11272873"}, {"ref": "elijah981/house-price-predictions-regression-basics", "kernel_id": "11255228"}, {"ref": "agileteam/data-preprocessing-feature-engineering-tutorial", "kernel_id": "11738732"}, {"ref": "sshikamaru/advanced-regression-techniques", "kernel_id": "11088774"}, {"ref": "sshikamaru/stacked-regressions-top-4-on-leaderboard", "kernel_id": "11264096"}, {"ref": "sengulkrdrl/house-price-regression", "kernel_id": "11337467"}, {"ref": "danigarci1/houseprice-predicition-randomforestregressor", "kernel_id": "11383096"}, {"ref": "ya10ya10/house-place", "kernel_id": "11567428"}, {"ref": "merveirem/house-price-prediction-hw-up-school", "kernel_id": "11960485"}, {"ref": "brendan45774/house-predict-solution", "kernel_id": "11181990"}, {"ref": "gizemmomeroglu/houseprice-notebook", "kernel_id": "11282851"}, {"ref": "zeintiz/linear-reg-me", "kernel_id": "11621487"}, {"ref": "teelytran/house-price-prediction-advanced-regression", "kernel_id": "11487952"}, {"ref": "elrowaidy0212306/regularized-linear-models", "kernel_id": "11488542"}, {"ref": "fluffyhamster/house-prices-regression", "kernel_id": "11351878"}, {"ref": "hatemalamir/ames-iowa-house-prices-pred", "kernel_id": "11870252"}, {"ref": "djbacad/boxcox-feature-select-w-lasso-rfr-vs-gb-vs-xgb", "kernel_id": "11319056"}, {"ref": "vytautasv/house-prices", "kernel_id": "11922239"}, {"ref": "mmreis1984/house-price-project", "kernel_id": "11766430"}, {"ref": "shuchita008/exercise-your-first-machine-learning-model", "kernel_id": "11285607"}, {"ref": "agarwalsourabh55/house-price-advance-regression-techniques", "kernel_id": "11449412"}, {"ref": "honggangmin1998/1st-ml-project-predicting-house-prices", "kernel_id": "11054058"}, {"ref": "eiichishimizu/house-price", "kernel_id": "11586246"}, {"ref": "misalraj/house-price-prediction", "kernel_id": "11752139"}, {"ref": "sw4wpnil/housing-price", "kernel_id": "11749060"}, {"ref": "mihirahuja01/house-price-regression-extensive-eda-fe", "kernel_id": "11298429"}, {"ref": "arnabark/house-prices-optuna-catboost", "kernel_id": "11647235"}, {"ref": "vita1004/house-price-dummy", "kernel_id": "11516982"}, {"ref": "lhernand/house-price-ii", "kernel_id": "11293124"}, {"ref": "jeffatennis/home-price-estimator", "kernel_id": "11432075"}, {"ref": "markerkor/fastmodeling", "kernel_id": "11378881"}, {"ref": "awakening/houses-price-prediction-data-preparation-1", "kernel_id": "11468474"}, {"ref": "imshakil/practice-model-selection-data-viz-cleaning", "kernel_id": "11030556"}, {"ref": "emnikkhil/advancehouse-price-prediction", "kernel_id": "11874261"}, {"ref": "ikraminf/house-prices-prediction-advanced", "kernel_id": "11200833"}, {"ref": "akhilups/house-price-decision-tree", "kernel_id": "11427083"}, {"ref": "chinhsuanlin/house-price", "kernel_id": "11910317"}, {"ref": "eulisesv/housingnotebook-ev-08202020", "kernel_id": "11298999"}, {"ref": "majhy001/regression", "kernel_id": "11475244"}, {"ref": "majhy001/notebook75095b4c86", "kernel_id": "11475166"}, {"ref": "saptarshi96/eda-feature-engineering-modelling", "kernel_id": "11249807"}, {"ref": "bkyleli/xgboost-regression", "kernel_id": "11552186"}, {"ref": "cankatsrc/random-forest-xgb-ridge-lasso-all-in-one", "kernel_id": "11317353"}, {"ref": "apucse/beginners-notebook-all-ml-models-eda", "kernel_id": "11108685"}, {"ref": "stas2328/statistics-homework-2", "kernel_id": "11618704"}, {"ref": "stas2328/stats1-homework", "kernel_id": "11472962"}, {"ref": "stas2328/linear-regression-example-with-python", "kernel_id": "11797609"}, {"ref": "stas2328/sale-price-for-houses-prediction", "kernel_id": "11849566"}, {"ref": "kamleshshimpi78/xgboost-house-price-prediction-submission", "kernel_id": "11232903"}, {"ref": "jhonatanluna/houseprices", "kernel_id": "11539973"}, {"ref": "shrey821/house-price-pred-with-xgboost-regression-rf", "kernel_id": "11366379"}, {"ref": "kevin410303/housing-prediction-final", "kernel_id": "11059217"}, {"ref": "ptfrwrd/different-approaches-for-categorical-encoding", "kernel_id": "11857382"}, {"ref": "nikunjbansal/preprocessing-on-house-prediction-data", "kernel_id": "11684321"}, {"ref": "an0utlier/house-price-regression", "kernel_id": "11099056"}, {"ref": "emdemor/pipeline-for-prediction-of-house-prices", "kernel_id": "11998841"}, {"ref": "rishabhx3/house-price-prediction", "kernel_id": "11328800"}, {"ref": "sunilrinald/eda-sunil", "kernel_id": "11898650"}, {"ref": "hod101s/embeddings-with-pytorch-starter-code", "kernel_id": "11271547"}, {"ref": "anhsterr/house-prices-modelling", "kernel_id": "11935025"}, {"ref": "vihang0002/home-price-prediction-using-xgboost", "kernel_id": "11208987"}, {"ref": "thepinokyo/regularized-linear-model-for-house-price", "kernel_id": "11338399"}, {"ref": "ankit0funkid/regression-on-lot-frontage", "kernel_id": "11022257"}, {"ref": "yhchoi0102/house-price-eda-with-null-values", "kernel_id": "11359630"}, {"ref": "yhchoi0102/1-house-price-eda-for-all-variables", "kernel_id": "11395119"}, {"ref": "iamsiddharthsingh/house-price-prediction-v-0-1", "kernel_id": "11240242"}, {"ref": "abhijitd16/house-salesprice-prediction-using-regression", "kernel_id": "11106082"}, {"ref": "alexanderklarge/portable-functions-for-any-notebook", "kernel_id": "11197017"}, {"ref": "pavan9065/house-prices", "kernel_id": "11616797"}, {"ref": "heyytanay/housing-prices-eda-dabl-top-lb-0-12-score", "kernel_id": "11091721"}, {"ref": "rohitiitism/house-price-basic-eda-and-feature-selection", "kernel_id": "11131481"}, {"ref": "mkahraman19/intro-to-automl", "kernel_id": "11869755"}, {"ref": "nagavedareddy/getting-to-the-top-4-in-house-prices", "kernel_id": "11082414"}, {"ref": "minupark/houseprice-evolution", "kernel_id": "11661869"}, {"ref": "edoardo10/house-price-top-14-stacking-regressor", "kernel_id": "11381082"}, {"ref": "haseebkalwar123/house-price-prediction", "kernel_id": "11632410"}, {"ref": "viktorpopov/fast-xgb-hyperopt", "kernel_id": "11058694"}, {"ref": "zahidfaiz/cheatsheet-100-plotly-part-1-basic-copy", "kernel_id": "11914053"}, {"ref": "mayank2404/prediction-with-lasso", "kernel_id": "11058215"}, {"ref": "ankitapaithankar/house-prices-prediction-easy-modelling", "kernel_id": "11204559"}, {"ref": "farrasalyafi/the-house-price-prediction", "kernel_id": "11414128"}, {"ref": "ahmadabdbutt/house-price-comparing-different-models-top-40", "kernel_id": "11232976"}, {"ref": "hazigin/house-prices-advanced-regression-techniques", "kernel_id": "11183733"}, {"ref": "vipulgote4/very-easy-method-with-95-accuracy", "kernel_id": "11105663"}, {"ref": "vipulgote4/stacked-learning-method-78-accuracy", "kernel_id": "11098067"}, {"ref": "vipulgote4/pycaret-introduction-classification-regression", "kernel_id": "11444649"}, {"ref": "saniyaparveez/house-prices-advanced-regression-techniques", "kernel_id": "11097038"}, {"ref": "raviet/housing-prices-prediction", "kernel_id": "11248156"}, {"ref": "rupnayak94/gradient-decent-hyperparameter-tuning-and-nn", "kernel_id": "11107492"}, {"ref": "saitej31/house-prediction", "kernel_id": "11395135"}, {"ref": "rishabhdhyani4/kaggle-house-pricing-top-2", "kernel_id": "11383865"}, {"ref": "topapa/cross-val", "kernel_id": "11776433"}, {"ref": "rogerche/notebook316597e6e5", "kernel_id": "11666308"}, {"ref": "katlidakis95/ames-housing-notebook-with-r", "kernel_id": "11630853"}, {"ref": "juniorwafo/notebook97c6a73770", "kernel_id": "11962489"}, {"ref": "mabalogun/using-xgboost-and-lightgbm-to-predict-house-price", "kernel_id": "11536270"}, {"ref": "j0ker00/advanced-regression-baseline", "kernel_id": "11850412"}, {"ref": "mahmoudnabil97/house-price-prediction", "kernel_id": "11588549"}, {"ref": "tanjackfong88/exercise-intro-to-automl", "kernel_id": "11910669"}, {"ref": "shymaagamal/exercise-intro-to-automl", "kernel_id": "11696390"}, {"ref": "nayuts/house-prices-let-s-eda-by-julia", "kernel_id": "11838364"}, {"ref": "shikhnu/house-prices-data-cleaning-fe-and-modelling", "kernel_id": "11503523"}, {"ref": "binman159/housing-price-eda-prediction", "kernel_id": "11835994"}, {"ref": "espressodoppio/baseline-with-automl", "kernel_id": "11063021"}, {"ref": "heisenbergrus/simple-function-to-choose-the-best-model", "kernel_id": "11233490"}, {"ref": "prakashcsuthar/housepriceprediction", "kernel_id": "11617618"}, {"ref": "zubedanathani/house-price-eda", "kernel_id": "11034464"}, {"ref": "rheadas1/house-price-rfr-gbr-lgbmr-xgbr-stackup", "kernel_id": "11210953"}, {"ref": "bstnst99/22p25c0078-nisit-q3-19092020-plot", "kernel_id": "11862667"}, {"ref": "divyamd/house-price-advanced-regression-comp", "kernel_id": "11452967"}, {"ref": "rosi02/house-pricing", "kernel_id": "11125689"}, {"ref": "pabloamc/draft-house-sale-price", "kernel_id": "11319438"}, {"ref": "elvinagammed/top-3-eda-automl-stacking-models", "kernel_id": "11485564"}, {"ref": "carlmcbrideellis/introduction-to-the-regularized-greedy-forest", "kernel_id": "11143664"}, {"ref": "carlmcbrideellis/ml-ensemble-example-using-house-prices-data", "kernel_id": "11453222"}, {"ref": "carlmcbrideellis/stacking-ensemble-using-the-house-prices-data", "kernel_id": "11480280"}, {"ref": "carlmcbrideellis/combining-my-submission-csv-files-for-better-score", "kernel_id": "11346234"}, {"ref": "carlmcbrideellis/automatic-tuning-of-xgboost-with-xgbtune", "kernel_id": "11518059"}, {"ref": "carlmcbrideellis/simple-two-variable-model", "kernel_id": "11984508"}, {"ref": "aylinndersev/house-price-prediction", "kernel_id": "11335160"}, {"ref": "ciliamadani/an-xgboost-model-for-advanced-regression", "kernel_id": "11861611"}, {"ref": "dillonmyrick/house-prices-top-12-with-svm", "kernel_id": "11750493"}, {"ref": "matejhorvat/1-price", "kernel_id": "11369623"}, {"ref": "ganeshbalaji1608/house-price-prediction-feature-engineering", "kernel_id": "11476085"}, {"ref": "ganeshbalaji1608/handling-missing-categories-feature-engineering", "kernel_id": "11476547"}, {"ref": "joachimrives/ames-iowa-housing-price-prediction", "kernel_id": "11566318"}, {"ref": "saadmuhammad17/advance-regression-via-automl-pycaret-2-0", "kernel_id": "11147549"}, {"ref": "luizfernandopanza/house-prices", "kernel_id": "11100545"}, {"ref": "marcuscheong/heart-failure-classification", "kernel_id": "11360654"}, {"ref": "harrycheng5/house-price-data-science-regression-project", "kernel_id": "11159116"}, {"ref": "amritabhogayata/housepriceprediction", "kernel_id": "11739940"}, {"ref": "jjmewtw/prices-cleaning-analysis-estimation-in-stages", "kernel_id": "11272272"}, {"ref": "queensaikia/advanced-models-feature-engineering-data-cleaning", "kernel_id": "11587919"}, {"ref": "shamiulislamshifat/house-pricing-regression-analysis-and-prediction", "kernel_id": "11770593"}, {"ref": "shamiulislamshifat/houseprice-predictor-advanced", "kernel_id": "11770185"}, {"ref": "shamiulislamshifat/house-price-predictor-xgboost", "kernel_id": "11764089"}, {"ref": "aliwagdy/house-price", "kernel_id": "11464350"}, {"ref": "hirototakaoka/notebook12ecbccde6", "kernel_id": "11722048"}, {"ref": "shrutiudagire/house-price-prediction", "kernel_id": "11744827"}, {"ref": "gdhasade/housepriceprediction", "kernel_id": "11418012"}, {"ref": "kvanaydomu/housing-prices-predicts-process-with-pipelines", "kernel_id": "11742028"}, {"ref": "bakilan/housingprices-rmse-0-10-95-acc", "kernel_id": "11318909"}, {"ref": "bhargavdeekshith/complete-tutorial-eda-featureengineering-modelling", "kernel_id": "11447916"}, {"ref": "urayukitaka/ensemble-prediction-pseudo-labeling", "kernel_id": "11853302"}, {"ref": "urayukitaka/price-prediction-all-features-confirmation", "kernel_id": "11175670"}, {"ref": "himsim2726/sales-prediction-assumption-check", "kernel_id": "11258335"}, {"ref": "marktsvirko/votingregressor-xgb-svm-top-10", "kernel_id": "11854662"}, {"ref": "aymen311/weightedaverged-regression", "kernel_id": "11860580"}, {"ref": "arpikr/advanced-regression", "kernel_id": "11126133"}, {"ref": "abdelrahmantarek22/house-prices-advanced-regression", "kernel_id": "11186456"}, {"ref": "manuelbunge/houseprice", "kernel_id": "11630452"}, {"ref": "ankitabansal/housepriceprediction", "kernel_id": "11243082"}, {"ref": "faresbenayed/regression", "kernel_id": "11082964"}, {"ref": "marcelopesse/house-prices-machine-learning-with-sklearn", "kernel_id": "11795544"}, {"ref": "ashrafkhan94/house-prices-advanced-level-approach", "kernel_id": "11493641"}, {"ref": "dooughnut/house-price-prediction-ensemble-advancedregression", "kernel_id": "11808432"}, {"ref": "alfathterry/house-price-prediction", "kernel_id": "11110525"}, {"ref": "ramchapa/house-prices-predection-ml-with-sklearn", "kernel_id": "11889009"}, {"ref": "danielj6/housing-eda", "kernel_id": "11156403"}, {"ref": "matthewtalia/house-prices-with-xgboost", "kernel_id": "11799103"}, {"ref": "drnitinmishra/graph-in-python", "kernel_id": "11801627"}, {"ref": "mostafaomar/house-price-prediction-for-beginners", "kernel_id": "11476520"}, {"ref": "dheerajchaudhary/eda-data-cleaning-visualization-lazypredict", "kernel_id": "11387416"}, {"ref": "akhilkasare/advanced-house-price-prediction-with-99-18-accura", "kernel_id": "11241265"}, {"ref": "muhammedabdulazeem/housing-price-prediction-eda-model", "kernel_id": "11742477"}, {"ref": "stevenvzhou/house-prices", "kernel_id": "11455545"}, {"ref": "hossamsaad/comprehensive-data-exploration-with-python", "kernel_id": "11481158"}, {"ref": "ronnyfahrudin/cleaning-nan-house-price-prediction", "kernel_id": "11371027"}, {"ref": "pallavisinha12/houseprice-prediction", "kernel_id": "11634545"}, {"ref": "interdiv/house-price", "kernel_id": "11152492"}, {"ref": "aakashsachan/house-prices-data-analytics", "kernel_id": "11484136"}, {"ref": "willturnerau/boston-house-price-prediction-in-progress", "kernel_id": "11831701"}, {"ref": "meifelyuki/house-prices-practice", "kernel_id": "11421480"}, {"ref": "nilaydesmukh/eda-on-house-price-data", "kernel_id": "11985866"}, {"ref": "navasai/xgboost-model", "kernel_id": "11411876"}, {"ref": "reosahobby/simple-eda-rf-and-xgboost-regressor", "kernel_id": "11319593"}, {"ref": "harunkfrevi/sale-price-prediction-using-rf", "kernel_id": "11382592"}, {"ref": "canozer/house-prices-stacked-models", "kernel_id": "11445380"}, {"ref": "bhanvimenghani/house-prices-data-cleaning-viz-and-modeling", "kernel_id": "11181638"}, {"ref": "ekzemplaro/house-prices-r", "kernel_id": "11566917"}, {"ref": "ekzemplaro/house-prices-sep06", "kernel_id": "11564088"}, {"ref": "atifrahman/house-price-prediction-using-xgbregressor", "kernel_id": "11250723"}, {"ref": "barkhaverma/house-price-prediction-with-advanced-regre", "kernel_id": "11396126"}, {"ref": "jinameliachoi/tutorial-house-prices-advanced-regression", "kernel_id": "11913052"}, {"ref": "nouhamhadhbi/house-pricing-using-regression-algorithm", "kernel_id": "11553411"}, {"ref": "gevorghovhannisyan/data-science-project-s-full-pipeline", "kernel_id": "11873461"}, {"ref": "nickelkumawat/linear-regression-house-prices", "kernel_id": "11055141"}, {"ref": "tienlu/house-price-prediction", "kernel_id": "11145248"}, {"ref": "mustafasmaileyi/house-prediction-with-using-keras-dense", "kernel_id": "11968191"}, {"ref": "mohdnasirqureshi/house-sale-price-prediction-easy-python-scrips", "kernel_id": "11379367"}, {"ref": "vishalsingh123/housing-price-prediction", "kernel_id": "11947418"}, {"ref": "jayesh134/house-price-prediction-data-visualization", "kernel_id": "11892884"}, {"ref": "pedropinho/kaggle-house-prices", "kernel_id": "11506807"}, {"ref": "soumyaranjannayak/house-prices-advanced-regression-techniques", "kernel_id": "11232792"}, {"ref": "shrirangdixit/house-price-advance-regression-technique", "kernel_id": "11688859"}, {"ref": "otonyeamietubodie/house-prediction", "kernel_id": "11246589"}, {"ref": "mochfadilr/notebookf684d2838c", "kernel_id": "11836541"}, {"ref": "avishakemaji/house-price-prediction", "kernel_id": "11061644"}, {"ref": "millernicholas/housing-prices-top-5-solution", "kernel_id": "11218684"}, {"ref": "jayantawasthi/advanceregression-ml-used-to-find-missing-val", "kernel_id": "11986329"}, {"ref": "miguelquiceno/house-prices-keras", "kernel_id": "11056446"}, {"ref": "shishirkaggle/houseprice-lasso-ridge", "kernel_id": "11341696"}, {"ref": "shishirkaggle/house-price-elasticnet", "kernel_id": "11352192"}, {"ref": "sayakpaul/notebook18b90290dd", "kernel_id": "11574737"}, {"ref": "himahima/predicting-house-prices", "kernel_id": "11310410"}, {"ref": "omidkhalafbeigi/houseprice-popular-reg-techniques-visualization", "kernel_id": "11897005"}, {"ref": "tharindajayawardana/detailed-data-exploration-and-stacked-regression", "kernel_id": "11797710"}, {"ref": "ssampab/comprehensive-guide-through-regression-modeling", "kernel_id": "11790823"}, {"ref": "datadecipherer/feature-selection-of-quantitative-variables", "kernel_id": "11094533"}, {"ref": "pravinsunilpakhare/welcome-to-data-science-in-r-workbook", "kernel_id": "11413154"}, {"ref": "abdulrahmanalqannas/predict-house-prices-blending-xgb-elastic", "kernel_id": "11234950"}, {"ref": "misaelnatanael/ames-houses-complete-analysis-modelling", "kernel_id": "11699780"}, {"ref": "amanmishra4yearbtech/top-14-eda-p-value-xgb-lgbm-stacking", "kernel_id": "11167736"}, {"ref": "ayoubsandali/house-prices-model", "kernel_id": "11879973"}, {"ref": "shrikantbhardwaj/notebooka124402311", "kernel_id": "11979317"}, {"ref": "playwithsanlei/sanlei1", "kernel_id": "11252371"}, {"ref": "dmkravtsov/3-3-house-price-one-hot-xgbr", "kernel_id": "11350296"}, {"ref": "alejandrohuguetperez/house-price-random-forest-submit1", "kernel_id": "11401768"}, {"ref": "alejandrohuguetperez/house-price-fully-connected", "kernel_id": "11493119"}, {"ref": "nayansakhiya/house-price-prediction", "kernel_id": "11264373"}, {"ref": "yashk07/predicting-house-price-data-cleaning-viz-modeling", "kernel_id": "11120246"}, {"ref": "biswajitroy7890/house-price-with-pytorch-tabnet", "kernel_id": "11394859"}, {"ref": "leechungseok/lstm-multix", "kernel_id": "11029263"}, {"ref": "serkanyava/prediction-of-house-prices-w-random-forest", "kernel_id": "11125555"}, {"ref": "shayantaherian/notebooke8e10a9d9d", "kernel_id": "11594895"}, {"ref": "saurabhmittal1996/advance-house-price-prediction", "kernel_id": "11028008"}, {"ref": "mianjingli/new-draft", "kernel_id": "11874053"}, {"ref": "abhaporwal/advanced-house-prediction", "kernel_id": "11407160"}, {"ref": "manisaurabh/house-prices-advanced-regression-technique", "kernel_id": "11708082"}, {"ref": "sarthak1799/houseprice17", "kernel_id": "11144533"}, {"ref": "kevinbtwcodes/xgboost-stacking-blending-hyperopt-lots-of-eda", "kernel_id": "11318911"}, {"ref": "anuragbantu/target-encoding-beginner-s-guide", "kernel_id": "11048707"}, {"ref": "talhaamjad/eda-fe-for-house-prices", "kernel_id": "11207618"}, {"ref": "artemkostrikin/house-prices-advanced-regression-techniques", "kernel_id": "11176556"}, {"ref": "zerryberry/top-10-in-house-price-prediction", "kernel_id": "11590924"}, {"ref": "parishabhatia/house-price-linear-reg", "kernel_id": "11876982"}, {"ref": "vadimsokolov/regression-models-for-house-prices", "kernel_id": "11480202"}, {"ref": "chintanrabadiya/house", "kernel_id": "11067661"}, {"ref": "nik3092/house-prices-advanced-eda-analysis-prediction", "kernel_id": "11951766"}, {"ref": "jamesragivedominique/notebook14097335ab", "kernel_id": "11709851"}, {"ref": "eceifter/first-submission", "kernel_id": "11347690"}, {"ref": "rahuljain98/exploratory-data-analysis-basic", "kernel_id": "11822650"}, {"ref": "dibyansudiptiman/house-prices-prediction-using-advanced-regression", "kernel_id": "11159434"}, {"ref": "dibyansudiptiman/best-house-price-predictor", "kernel_id": "11169768"}, {"ref": "lionkhan21/advanced-housing-prices-real-feature-engineering", "kernel_id": "11153518"}, {"ref": "munjaldesai/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "11706049"}, {"ref": "godwinmadho/housing-prices-in-progress", "kernel_id": "11838984"}, {"ref": "katchupalvarenga/house-prices-top-8-em-portugu-s", "kernel_id": "11196086"}, {"ref": "katchupalvarenga/house-prices-top-8-on-leaderboard", "kernel_id": "11150688"}, {"ref": "keilorgilbert/stacking-ensembling-top-8", "kernel_id": "11524192"}, {"ref": "shubham7prasad/housingpriceprediction", "kernel_id": "11682083"}, {"ref": "ritikasaini/house-price-prediction", "kernel_id": "11274629"}, {"ref": "lazrus/advance-regression-model-stacking-data-leakage", "kernel_id": "11418007"}, {"ref": "gwenbayarbaatar/aimes-house-prices-analysis", "kernel_id": "11132971"}, {"ref": "honeysharma0604/housepricepredict", "kernel_id": "11308758"}, {"ref": "rxsraghavagrawal/house-price-prediction-complete-analysis-eda", "kernel_id": "11383850"}, {"ref": "danielizumikatagiri/house-pricing-with-xgboost", "kernel_id": "11186395"}, {"ref": "yodaitanaka/house-practice", "kernel_id": "11207894"}, {"ref": "kens3i/advance-house-prediction-with-data-cleaning", "kernel_id": "11691786"}, {"ref": "orhankaramancode/ensemble-stacked-regressors-top-3-91-acc", "kernel_id": "11733708"}, {"ref": "michaelblokhin/houseprices-eda-regr", "kernel_id": "11541562"}, {"ref": "mohitkarelia/advanced-house-price-prediction", "kernel_id": "11605258"}, {"ref": "jiukeem/data-exploration", "kernel_id": "11017120"}, {"ref": "namiki1984/ref-prin-1815", "kernel_id": "11075108"}, {"ref": "namiki1984/task-prin-1815", "kernel_id": "11079196"}, {"ref": "cathyyan37/house-prices-advanced-regression-techniques", "kernel_id": "11156785"}, {"ref": "rohandesai24/housing-price-prediction-regularization", "kernel_id": "11214667"}, {"ref": "vaishnavighadge/notebook22d8f470a8", "kernel_id": "11207066"}, {"ref": "bhagwangawali/part-i-eda", "kernel_id": "11538998"}, {"ref": "rishidamarla/saleprice-prediction-with-xgboost-regressor", "kernel_id": "11358153"}, {"ref": "tracyporter/ames-house-prices-ensemble", "kernel_id": "11670126"}, {"ref": "tracyporter/ames-house-prices-keras", "kernel_id": "11599658"}, {"ref": "tracyporter/ames-house-prices-linear-reg-gradient-boostin", "kernel_id": "11605572"}, {"ref": "soumyajeetdutta/notebook10590fe1a7", "kernel_id": "11763413"}, {"ref": "asiaahmedabushawish/kernel65f3574c1f", "kernel_id": "11065251"}, {"ref": "asiaahmedabushawish/house-price-advanced-reg", "kernel_id": "11066379"}, {"ref": "jonas0/feature-selection-tutorial", "kernel_id": "11726382"}, {"ref": "zakariatafesh/house-price-adv-reg-gridsearchcv-xgb", "kernel_id": "11393936"}, {"ref": "zakariatafesh/house-price-adv-reg-gridsearchcv-rf", "kernel_id": "11393946"}, {"ref": "zakariatafesh/house-price-adv-reg-gsearchcv-xgb-impute-encode", "kernel_id": "11393947"}, {"ref": "rahulpawade/house-prices-advanced-regression-technique-xgboost", "kernel_id": "11035372"}, {"ref": "rahulpawade/house-prices-advanced-regression-techniques", "kernel_id": "11739451"}, {"ref": "masakiaso/kernel473cf5b069", "kernel_id": "11010743"}, {"ref": "mitulpatel1698/predicting-house-price", "kernel_id": "11879875"}, {"ref": "vivekprajapati2048/a-complete-advanced-house-price-predictions", "kernel_id": "11852784"}, {"ref": "safayet1610039/house-price-prediction-using-deep-neural-network", "kernel_id": "11408131"}, {"ref": "mayurtanwar/house-price-prediction-randomforest-xgboost-ml", "kernel_id": "11528631"}, {"ref": "lalaluli/task3-feature-engineering", "kernel_id": "11276370"}, {"ref": "aysenurerbahar/house-price", "kernel_id": "11403785"}, {"ref": "gizemayurderi/hp-linear-regression", "kernel_id": "11335029"}, {"ref": "gizemayurderi/hp-linear-regression-2nd-sub", "kernel_id": "11829867"}, {"ref": "dishantdeshmukh/house-price-prediction", "kernel_id": "11030813"}, {"ref": "mehmetbabur/house-price-project", "kernel_id": "11712393"}, {"ref": "martialwang/kernel3b62cff63e", "kernel_id": "11166203"}, {"ref": "sarahjanexionger/house-prices", "kernel_id": "11103345"}, {"ref": "aneeshkrishna/house-price-prediction-using-regressions", "kernel_id": "11105858"}, {"ref": "abhishekyerram/house-prediction-with-87-accuracy", "kernel_id": "11265344"}, {"ref": "foolofatook/tutorial-plotly-for-data-analysis", "kernel_id": "11940574"}, {"ref": "miguelrosales/data-analysis-of-house-prices", "kernel_id": "11727754"}, {"ref": "adityakaushik01/house-price-prediction-for-beginners", "kernel_id": "11167435"}, {"ref": "kamiljan/notebook86b1849cdf", "kernel_id": "11300864"}, {"ref": "prathimananjundaiah/house-price-predection-linear-regression", "kernel_id": "11363775"}, {"ref": "yutohisamatsu/houseprice-elasticnet-finish", "kernel_id": "11532718"}, {"ref": "yutohisamatsu/houseprice-xgboost", "kernel_id": "11533221"}, {"ref": "yutohisamatsu/houseprice-lightgbm", "kernel_id": "11549017"}, {"ref": "yutohisamatsu/houseprice-xgboost-part2", "kernel_id": "11624377"}, {"ref": "yutohisamatsu/houseprice-simple-model", "kernel_id": "11382065"}, {"ref": "yutohisamatsu/fork-of-houseprice-simple-model", "kernel_id": "11417648"}, {"ref": "yutohisamatsu/houseprice-elasticnet-with-crossvalidation", "kernel_id": "11312829"}, {"ref": "yutohisamatsu/fork-of-houseprice-elasticnet-featureengineering", "kernel_id": "11264002"}, {"ref": "yutohisamatsu/feature-selection-and-elasticnet-sutra-practice", "kernel_id": "11190811"}, {"ref": "yutohisamatsu/ridge-lasso-elasticnet-regressions-explained", "kernel_id": "11190734"}, {"ref": "yutohisamatsu/houseprice-elasticnet", "kernel_id": "11231046"}, {"ref": "yutohisamatsu/fork-of-feature-selection-and-elasticnet-sutra-pra", "kernel_id": "11230574"}, {"ref": "yutohisamatsu/houseprice-regression", "kernel_id": "11156842"}, {"ref": "yutohisamatsu/ridge-lasso-elasticnet-regressions-sutra-practice", "kernel_id": "11103782"}, {"ref": "yutohisamatsu/kaggle-house-prices-with-lightgbm-sutra-practice", "kernel_id": "11080440"}, {"ref": "yutohisamatsu/housepriceseda-sutra-practice", "kernel_id": "11008759"}, {"ref": "yutohisamatsu/houseprice-ensemble", "kernel_id": "11815695"}, {"ref": "biswaranjanbiswal/house-price-prediction", "kernel_id": "11268972"}, {"ref": "aminafysel/to-the-top-28-beginners-guide", "kernel_id": "11165639"}, {"ref": "jubinchaudhary/linear-regression-for-housing-price-prediction", "kernel_id": "11270414"}, {"ref": "herozerp/house-prices-train", "kernel_id": "11042513"}, {"ref": "roshanpk/stockpricepred-please-vote-and-support", "kernel_id": "11255710"}, {"ref": "katherinecrosby/tfm-ucm-master-big-data-y-business-analytics-2020", "kernel_id": "11659247"}, {"ref": "zhanghuimin/kaggle-housepricing", "kernel_id": "11555721"}, {"ref": "shunhashizume/housing-prices-tutorial", "kernel_id": "11096099"}, {"ref": "ibrahimnofal/houses-prices-randomforestregressor", "kernel_id": "11050072"}, {"ref": "saatviksharma/house-pricing-ridge-lasso", "kernel_id": "11218251"}, {"ref": "iambca/house-price-eda-and-gradboost", "kernel_id": "11252496"}, {"ref": "senaduman/house-prices-regression-models", "kernel_id": "11304424"}, {"ref": "rohitozatf/3-2-house-prices-6th-attempt", "kernel_id": "11306213"}, {"ref": "rohitozatf/att-5-hppar", "kernel_id": "11233865"}, {"ref": "ruandiassantana/advanced-housing", "kernel_id": "11355899"}, {"ref": "vamsi23/house-price-prediction-eda-feature-eng-model", "kernel_id": "11691070"}, {"ref": "davidjesse/predicting-house-prices", "kernel_id": "11478688"}, {"ref": "sauravprasad/house-price-prediction", "kernel_id": "11053348"}, {"ref": "syuhei23/house-prices-stacking-regression", "kernel_id": "11054108"}, {"ref": "umerkk12/house-price-prediction-competition", "kernel_id": "11117887"}, {"ref": "alihanurumov/house-prices-advanced-regression-techniques-ii", "kernel_id": "11077330"}, {"ref": "xiaomancai11/how-to-get-to-top-25-with-simple-model-sklearn", "kernel_id": "11513796"}, {"ref": "paulrohan2020/eda-and-simple-linear-regression-for-house-price", "kernel_id": "11695810"}, {"ref": "peltristan/house-prices-advanced-regression-techniques", "kernel_id": "11651601"}, {"ref": "ankurchipa/house-pricing-preprocessing-eda-and-modeling", "kernel_id": "11570526"}, {"ref": "kishore1999/house-price-prediction-using-pycaret", "kernel_id": "11452060"}, {"ref": "prakirthgovardhanam/housepricepredict-regression", "kernel_id": "11154033"}, {"ref": "johnmichaelsantos/predictive-analysis-of-the-ames-housing-dataset-r", "kernel_id": "11245093"}, {"ref": "tichakornw/submission-tutorial", "kernel_id": "11359973"}, {"ref": "thepeterhsieh/houseprice-uploaded", "kernel_id": "11625314"}, {"ref": "akshitrai/house-prices-beginner-to-ml", "kernel_id": "11666072"}, {"ref": "kirubakaran28/house-regression-eda-fe-dc-prediction-rf-algo", "kernel_id": "11610129"}, {"ref": "amanagrawal123/house-prediction-using-gradient-boosting-regressor", "kernel_id": "11035833"}, {"ref": "darthmanav/getting-started-with-regression-models-eda", "kernel_id": "11045995"}, {"ref": "andreichevozerov/houce-price-ru", "kernel_id": "11970259"}, {"ref": "ciscoramond/bakal-m-nas-l-olcek", "kernel_id": "11107234"}, {"ref": "artigritesh/house-prices-descriptive-analysis", "kernel_id": "11068444"}, {"ref": "d0nghe/house-price-6", "kernel_id": "11802666"}, {"ref": "miguelcsilva/house-prices-ms", "kernel_id": "11097845"}, {"ref": "abhialampu/kernel410ddb80e4", "kernel_id": "11141291"}, {"ref": "aaronpetryio/house-prices-advanced-regression-techniques", "kernel_id": "11259652"}, {"ref": "adityamanas01/house-price-copy-work", "kernel_id": "11226822"}, {"ref": "krishanuadhikary/dl-basics-house-price-prediction", "kernel_id": "11125668"}, {"ref": "foucardm/everything-you-need-to-know-for-top-ranking", "kernel_id": "11166565"}, {"ref": "soumyaranjan96/house-prices-data-cleaning-viz-and-modeling", "kernel_id": "11274301"}, {"ref": "ayodejiakinola/house-prices-advanced-regression-techniques", "kernel_id": "11431553"}, {"ref": "fercampos19/house-prices-regression-example", "kernel_id": "11376586"}, {"ref": "kamalchapagain1/notebook-kamal", "kernel_id": "11834359"}, {"ref": "kamalchapagain1/notebook-kamal-1", "kernel_id": "11838170"}, {"ref": "tamoghnobhattacharya/housing-price-prediction-advanced-regression", "kernel_id": "11244229"}, {"ref": "thientoantran/notebook1e76882262", "kernel_id": "11362362"}, {"ref": "tiewehong/beginner-s-attempt-at-prediction-with-only-lr", "kernel_id": "11463382"}, {"ref": "marietruong/apparts-eda", "kernel_id": "11409448"}, {"ref": "azharmahmood1976/azhar-submission-1", "kernel_id": "11405205"}, {"ref": "jonathanpaserman/iowa-house-pricing", "kernel_id": "11863638"}, {"ref": "wevertonmdrs/house-prices-eda-and-model-validation-weverton", "kernel_id": "11737765"}, {"ref": "kuldeepsinghdudi/house-price-prediction", "kernel_id": "11449328"}, {"ref": "peggym/notebooka3e661eeb1", "kernel_id": "11339944"}, {"ref": "karlbina/house-prices-advanced-regression", "kernel_id": "11654128"}, {"ref": "adityaprabaswara/house-pricing-predictions", "kernel_id": "11648055"}, {"ref": "leedahye/fastmodeling", "kernel_id": "11385789"}, {"ref": "hadisarvari/notebook1aeea53e2a", "kernel_id": "11738890"}, {"ref": "safooranaureen/house-price-pred-adv-regg-tech-preprocessing", "kernel_id": "11703306"}, {"ref": "safooranaureen/house-price-pred-adv-regg-tech-model", "kernel_id": "11703749"}, {"ref": "elliemoore/predicting-house-prices-final-models", "kernel_id": "11670859"}, {"ref": "andres15alvarez/statistic-homework", "kernel_id": "11848284"}, {"ref": "ahmadalsharif/fork-of-ahmad-al-sharif-regression", "kernel_id": "11589267"}, {"ref": "connectkishan1/house-prices-prediction", "kernel_id": "11908213"}, {"ref": "soufianeessamadi/notebook16224e6d07", "kernel_id": "11459661"}, {"ref": "atrisharma/house-pricing-prediction", "kernel_id": "11614963"}, {"ref": "kumarraviranjan/notebook798e439b43", "kernel_id": "11718764"}, {"ref": "sisankkotwalanalyst/regression-model-to-find-homes-for-a-quick-profit", "kernel_id": "11752858"}, {"ref": "mdmominulislam2329/house-price-prediction-by-ml-algorithm", "kernel_id": "11864261"}, {"ref": "dipankarsrirag/linear-regression-with-pca-housing-rates", "kernel_id": "11791355"}, {"ref": "dipankarsrirag/decision-tree-ensemble-with-adaboost-housing", "kernel_id": "11823089"}, {"ref": "neinghi/tp1-ml", "kernel_id": "11658589"}, {"ref": "dietzschdaniel/my-house-price-prediction-approach", "kernel_id": "11913193"}, {"ref": "dietzschdaniel/introduction-to-metrics", "kernel_id": "11858547"}, {"ref": "juliowongso/random-forest-10-features", "kernel_id": "11873657"}, {"ref": "mahmoudiamir/house-pricing-data-analysis", "kernel_id": "11894950"}, {"ref": "alirezanematolahy/house-price-prediction-using-linear-regression", "kernel_id": "11935204"}, {"ref": "alirezanematolahy/house-price-prediction-gboosting", "kernel_id": "11989980"}, {"ref": "ivylab/house-price-prediction-regression-with-keras", "kernel_id": "11837570"}, {"ref": "vamsikrishna500466/linear-regression-basic-pipeline", "kernel_id": "11837722"}, {"ref": "mahmoodwalid123/frist-notebook-test", "kernel_id": "11855985"}, {"ref": "ivywyr1123/hw1-houseprice", "kernel_id": "11907188"}, {"ref": "shashinkumarsachan/house-price-prediction-using-h20-automl", "kernel_id": "11994397"}, {"ref": "shashinkumarsachan/house-price-prediction-ensemble", "kernel_id": "11987361"}, {"ref": "georgemitchellswe/notebook7fb74e7e82", "kernel_id": "11991475"}, {"ref": "perotti/handling-missing-values", "kernel_id": "12914422"}, {"ref": "harshavardhan0/house-price-advanced-regression", "kernel_id": "12649431"}, {"ref": "mdfarzana/dataanalysis", "kernel_id": "12215354"}, {"ref": "gbaduz/comprehensive-data-exploration-with-python", "kernel_id": "12303059"}, {"ref": "tyadav/handling-missing-values", "kernel_id": "12981804"}, {"ref": "dhiman69/stacked-regressions-top-4-on-leaderboard", "kernel_id": "12192210"}, {"ref": "coolonce/lab-1", "kernel_id": "12876657"}, {"ref": "harish5661/notebook0063a3cf33", "kernel_id": "12648211"}, {"ref": "ajennings/house-prices-ridge-0-13181", "kernel_id": "12532435"}, {"ref": "priyankadas/house-prices-comprehensive-eda-visualization", "kernel_id": "12689880"}, {"ref": "priyankadas/eda-and-model-building-on-advance-house-price-pred", "kernel_id": "12657310"}, {"ref": "daplugg/notebookfd3d732be6", "kernel_id": "12561437"}, {"ref": "daplugg/notebookbcc7cdf0f7", "kernel_id": "12815221"}, {"ref": "kishkun/house-pricing-analysis-model", "kernel_id": "12396164"}, {"ref": "beeezeee/real-estate-advanced-regression-analysis", "kernel_id": "12754143"}, {"ref": "ekrembayar/house-price-prediction-lgbm-lb-24", "kernel_id": "12399300"}, {"ref": "anggia/basic-template-using-lgbm-work-in-progress", "kernel_id": "12569064"}, {"ref": "srinibi/house-price-extensive-eda-and-advanced-regression", "kernel_id": "12744782"}, {"ref": "stormchaser/hprice-linearregression", "kernel_id": "12421695"}, {"ref": "siriasadeddin/house-price", "kernel_id": "12424672"}, {"ref": "scatteredflo/kihome-lec3-ans-regression-boston-house", "kernel_id": "12272069"}, {"ref": "ruslanphystech/jupiter-solution", "kernel_id": "12403293"}, {"ref": "mdc1991/250k-challenge-which-house-would-you-buy", "kernel_id": "12847216"}, {"ref": "lashamaev/baseline2", "kernel_id": "12449712"}, {"ref": "paultimothymooney/finding-your-files-in-kaggle-notebooks", "kernel_id": "12555555"}, {"ref": "bununtadiresmenmor/handling-missing-values-with-house-prices-dataset", "kernel_id": "12003908"}, {"ref": "arbazkhan971/datascience-for-beginner-python", "kernel_id": "12092239"}, {"ref": "funxexcel/house-prices-voting-classifier", "kernel_id": "12720339"}, {"ref": "maryme/notebook62fc5bdad3", "kernel_id": "12391633"}, {"ref": "eduardorenz/house-prices-competition-step-by-step", "kernel_id": "12634290"}, {"ref": "akhabash/cheatsheet-70-ggplot-charts", "kernel_id": "12049670"}, {"ref": "afranur/house-prices-prediction-using-ml-algorithms", "kernel_id": "12299984"}, {"ref": "changezakram/home-value-predictions", "kernel_id": "12085016"}, {"ref": "marcogorelli/cln-comprehensive-data-exploration-with-python", "kernel_id": "12375670"}, {"ref": "marcogorelli/cln-stacked-regressions-top-4-on-leaderboard", "kernel_id": "12375983"}, {"ref": "virtual888/lr-with-elasticnet-regularization", "kernel_id": "12811814"}, {"ref": "virtual888/house-prices-prediction-with-lightgbm-lb-21", "kernel_id": "12852063"}, {"ref": "virtual888/house-prices-prediction-with-xgboost-lb-15", "kernel_id": "12838131"}, {"ref": "virtual888/house-prices-prediction-with-randomforests-public", "kernel_id": "12983164"}, {"ref": "leodaniel/wanna-buy-my-house", "kernel_id": "12465240"}, {"ref": "tulaycaglayan/house-prices", "kernel_id": "12552019"}, {"ref": "alexanderbaranof/house-prices-catboost", "kernel_id": "12400530"}, {"ref": "wangweiyi/house-price", "kernel_id": "12618707"}, {"ref": "errolpereira/feature-engineering-feature-selection", "kernel_id": "12215416"}, {"ref": "errolpereira/baseline-model-lgbm-0-13373-pl", "kernel_id": "12198970"}, {"ref": "errolpereira/house-prices-problem-definition-and-eda", "kernel_id": "12000730"}, {"ref": "errolpereira/bivariate-analysis-and-hypothesis-testing", "kernel_id": "12104145"}, {"ref": "svashi/housing-dataset", "kernel_id": "12224900"}, {"ref": "jeffymerin/guess-the-median-house-prices-in-california", "kernel_id": "12243298"}, {"ref": "jonilices/house-prices-first-notebook", "kernel_id": "12011024"}, {"ref": "shashank070/adavance-house-price-prediction-handling-nan", "kernel_id": "12214380"}, {"ref": "tanushri98/house-prices-data-exploration-and-eda", "kernel_id": "12112682"}, {"ref": "jagdmir/house-price-prediction-random-forest", "kernel_id": "12623017"}, {"ref": "donaldcth/linerregression-ver-1-3", "kernel_id": "12954982"}, {"ref": "donaldcth/linerregression-ver-2-2", "kernel_id": "12959869"}, {"ref": "donaldcth/naive-bayes-ver-1-5", "kernel_id": "12968683"}, {"ref": "pinstripezebra/housing-price-predictions", "kernel_id": "12616477"}, {"ref": "fan92rus/train-house-prediction", "kernel_id": "12679259"}, {"ref": "salmaeng/feature-engineering-medium-post-2", "kernel_id": "12237061"}, {"ref": "salmaeng/data-exploration-medium-post-1", "kernel_id": "12223583"}, {"ref": "salmaeng/feature-selection-medium-post-3", "kernel_id": "12223611"}, {"ref": "salmaeng/ordinal-encoding", "kernel_id": "12984764"}, {"ref": "naberhausj/ds-301-kaggle-competition", "kernel_id": "12225938"}, {"ref": "nehalbandal/housing-price-prediction-model-stacking", "kernel_id": "12026403"}, {"ref": "altersystem/my-linregression-house-pricing", "kernel_id": "12445298"}, {"ref": "simgeerek/houseprice", "kernel_id": "12371801"}, {"ref": "anupamshah/how-to-handle-missing-categorical-features", "kernel_id": "12846933"}, {"ref": "athiqahmed/comparison-of-automl-libraries-pycaret-vs-h2o", "kernel_id": "12953654"}, {"ref": "gawarek/neural-networks", "kernel_id": "12715416"}, {"ref": "pakkanmeric/house-prices-linear-regression-model", "kernel_id": "12066759"}, {"ref": "batprem/house-price-model", "kernel_id": "12747276"}, {"ref": "batprem/house-price-eda", "kernel_id": "12928916"}, {"ref": "ravindravenkat/house-price-regression", "kernel_id": "12645165"}, {"ref": "glushko/house-prices-domain-driven-eda-part-i", "kernel_id": "12979937"}, {"ref": "ayhampar/a-comparison-of-several-models-with-score-0-14259", "kernel_id": "12951165"}, {"ref": "guintherkovalski/house-price-regression-xgboost-regressor", "kernel_id": "12742934"}, {"ref": "fcaner/house-price-prediction-with-random-forest", "kernel_id": "12509385"}, {"ref": "singhjitendra2004/house-price-stacked-methodology", "kernel_id": "12661570"}, {"ref": "subinium/all-you-need-is-time-series-visualization-20", "kernel_id": "12888652"}, {"ref": "soham1024/plotly-all-visualizations", "kernel_id": "12484299"}, {"ref": "rightfel/house-prices-prediction-using-pycaret", "kernel_id": "12884792"}, {"ref": "hackonion/house-price", "kernel_id": "12192709"}, {"ref": "surbhisharma001/house-price", "kernel_id": "12524265"}, {"ref": "divyanshipaliwal/house-pricing", "kernel_id": "12265698"}, {"ref": "jirakst/house-price", "kernel_id": "12146446"}, {"ref": "qaisar95/advance-feature-engineering-top", "kernel_id": "12976810"}, {"ref": "waq0000/notebook1132edfa1e", "kernel_id": "12382256"}, {"ref": "khangtran97/cs675-mid-term-project", "kernel_id": "12248010"}, {"ref": "monad1/random-forest-acc100", "kernel_id": "12378903"}, {"ref": "vedica1011/dev-solution", "kernel_id": "12361528"}, {"ref": "saketraj1102/titanic-dataset", "kernel_id": "12435806"}, {"ref": "iet461/1-house-prices-solution-top-1", "kernel_id": "12956511"}, {"ref": "iet461/baseline", "kernel_id": "12232300"}, {"ref": "saeedarisha/notebook12f3d57324", "kernel_id": "12685268"}, {"ref": "philboaz/top-3-methods-for-handling-missing-values-2020", "kernel_id": "12008833"}, {"ref": "raufsafar/house-price-models", "kernel_id": "12270921"}, {"ref": "ppsheth91/beginner-s-guide-house-price-predict-rank2336", "kernel_id": "12071546"}, {"ref": "hassanw65/housing-price-prediction-eda-pca", "kernel_id": "12326738"}, {"ref": "ab0elmagd/notebook5dcbe5c2b5", "kernel_id": "12584843"}, {"ref": "hiteshtripathi/housing-price-prediction-eda", "kernel_id": "12112118"}, {"ref": "mugenor/notebook66bdb3f85f", "kernel_id": "12733697"}, {"ref": "cemozgen/simple-regression-for-house-prices", "kernel_id": "12914890"}, {"ref": "ramintau/toai-classc", "kernel_id": "12970365"}, {"ref": "nidhu1804/predicting-house-prices-with-machine-learning", "kernel_id": "12887178"}, {"ref": "hieudqm/da-learn", "kernel_id": "12700358"}, {"ref": "juneyao666/house-price-prediction-machine-learning", "kernel_id": "12505023"}, {"ref": "laszloendre/real-estate-price-regression", "kernel_id": "12514588"}, {"ref": "serioushyena/house-prices-xgboost", "kernel_id": "12285482"}, {"ref": "tquantsolutions/housepriceart-nqtsolutions", "kernel_id": "12724583"}, {"ref": "yakbu002/notebook0861e1f0fd", "kernel_id": "12011069"}, {"ref": "letmewin97/t-sne-catboost-and-more-than-enough", "kernel_id": "12936227"}, {"ref": "mathchi/predict-sales-prices-and-practice-feature-engineer", "kernel_id": "12936288"}, {"ref": "kwjcndocjn/houses", "kernel_id": "12128204"}, {"ref": "pzanini/numerical-and-null-features-eda-stack", "kernel_id": "12538297"}, {"ref": "hiro1005/house-prices-advanced-regression-techniques", "kernel_id": "12059633"}, {"ref": "nandagirisaipranay/advanced-regression-for-house-price-prediction", "kernel_id": "12095153"}, {"ref": "gouravojha/submitting-from-a-kernel", "kernel_id": "12860470"}, {"ref": "saisrinivas6948/housing-prediction-eda-ridge-lasso-rf-and-xgb", "kernel_id": "12087281"}, {"ref": "jaydoncobb/notebook82f6218899", "kernel_id": "12225653"}, {"ref": "naim99/data-analysis-in-python-after-using-sql", "kernel_id": "12789516"}, {"ref": "sjvkishore/house-advanced-regression-with-coefficient-changes", "kernel_id": "12087389"}, {"ref": "prateekv12f/house-predictions", "kernel_id": "12674351"}, {"ref": "djp425/housing-prices-regression", "kernel_id": "12960351"}, {"ref": "jordaoalves/classifica-o-do-dataset-pima-com-pycaret", "kernel_id": "12651435"}, {"ref": "anyesharay/data-science-301-kaggle-competition-a-ray", "kernel_id": "12220609"}, {"ref": "amintavakkolnia/home-price-competition", "kernel_id": "12164911"}, {"ref": "roshankumarg/4-c-s-every-data-passionate-must-know", "kernel_id": "12549346"}, {"ref": "carlmcbrideellis/xgboost-benchmark", "kernel_id": "12672191"}, {"ref": "carlmcbrideellis/tabnet-a-very-simple-regression-example", "kernel_id": "12508457"}, {"ref": "wenkehuang/house-price-wkhuang", "kernel_id": "12312471"}, {"ref": "mohamedalisayed/notebookce4ba9b393", "kernel_id": "12832387"}, {"ref": "amarloni/housing-price-revision", "kernel_id": "12341894"}, {"ref": "erkanhatipoglu/house-prices-using-pipelines", "kernel_id": "12479286"}, {"ref": "joachimrives/ames-iowa-housing-with-automl", "kernel_id": "12143298"}, {"ref": "ibrahimyildiz/house-prices", "kernel_id": "12224201"}, {"ref": "moussasacko/basic-notebook-for-beginner", "kernel_id": "12039800"}, {"ref": "ahmetcankaraolan/house-prices-advanced-regression-techniques", "kernel_id": "12288090"}, {"ref": "koussayabdouli/house-price-prediction-xgboost-model", "kernel_id": "12030378"}, {"ref": "sawsanshakir/notebook-house-price-1", "kernel_id": "12559597"}, {"ref": "raakesh96/trust-models-lime-xgboost", "kernel_id": "12661723"}, {"ref": "dhanyajayan/house-price", "kernel_id": "12954731"}, {"ref": "dmitriikorzh/simple-no-eda-feature-creating", "kernel_id": "12395045"}, {"ref": "furkankilicaslan/house-price-prediction-with-ann", "kernel_id": "12550367"}, {"ref": "l33tc0d3r/comparison-between-5-regression-algorithm", "kernel_id": "12632545"}, {"ref": "vascodegama/automated-seaborn-plot-functions", "kernel_id": "12220663"}, {"ref": "nikhilpavankanaka/feature-transformations-and-comprehensive-eda", "kernel_id": "12729856"}, {"ref": "siddheshkadam/house-price-stats-model", "kernel_id": "12550430"}, {"ref": "danielj6/stacked-housing", "kernel_id": "12330095"}, {"ref": "atharvaingle/top-18-on-leaderboard-house-prices-regression", "kernel_id": "12903884"}, {"ref": "liliyamironova/mironova-house-prices", "kernel_id": "12415353"}, {"ref": "bcd8697/notebook8f080bef82", "kernel_id": "12404051"}, {"ref": "yangzi33/housepriceprediction", "kernel_id": "12251648"}, {"ref": "damoonshahhosseini/functional-neural-networks", "kernel_id": "12288625"}, {"ref": "seanoneil/ist-718-group-project", "kernel_id": "12517810"}, {"ref": "katelynschreyer/data-201-lab", "kernel_id": "12581297"}, {"ref": "mahmoudkhaled11/top-14-house-prices-model", "kernel_id": "12372932"}, {"ref": "zaidasouhil/house-pricing", "kernel_id": "12818705"}, {"ref": "hungrex/house-pricing", "kernel_id": "12252003"}, {"ref": "samiulhossain/assignment-2-1711626042", "kernel_id": "12152709"}, {"ref": "mviola/house-prices-eda-lasso-lightgbm-0-11635", "kernel_id": "12374017"}, {"ref": "beingsavage/house-prediction", "kernel_id": "12889609"}, {"ref": "javagarm/useful-python-libraries-for-data-science", "kernel_id": "12549577"}, {"ref": "ahmadqadeibalban/housing-price", "kernel_id": "12115230"}, {"ref": "jaeyeonwon/notebookda900237a7", "kernel_id": "12883128"}, {"ref": "eclipser33/dendrite-net-for-regression", "kernel_id": "12879134"}, {"ref": "nguncedasci/house-price-competition-0-127-13k", "kernel_id": "12416997"}, {"ref": "mikhailmaksakov/house-pricing-2", "kernel_id": "12333322"}, {"ref": "maksimanisimov/skolkovo-test", "kernel_id": "12421600"}, {"ref": "tessamendoza/submission", "kernel_id": "12114962"}, {"ref": "batuhanayyldz/house-prices-regression", "kernel_id": "12863709"}, {"ref": "jmregs/house", "kernel_id": "12273088"}, {"ref": "einchin/house-prices-xgbregressor", "kernel_id": "12069645"}, {"ref": "habiphakaniler/regression", "kernel_id": "12898496"}, {"ref": "ojaswiawasthi/house-regression-analysis", "kernel_id": "12787386"}, {"ref": "jonathanburritt/kaggle-competition-predict-house-prices", "kernel_id": "12031464"}, {"ref": "yaireshelcahansky/simple-observation-about-loss-functions", "kernel_id": "12848143"}, {"ref": "umutcanakdag/averaging-estimators-for-regression", "kernel_id": "12329457"}, {"ref": "muhammetvarl/xgboost-light-gbm-house-price", "kernel_id": "12733172"}, {"ref": "ruiyap/0-8929-score-eda-data-processing-model-building", "kernel_id": "12634243"}, {"ref": "marzenah/housesaleprices-predictivemodel", "kernel_id": "12406676"}, {"ref": "grishmamodi/advance-house-price-prediction", "kernel_id": "12216580"}, {"ref": "brettwhite/house-prices", "kernel_id": "12228542"}, {"ref": "iamandrewliao/ames-housing-prices", "kernel_id": "12067697"}, {"ref": "rasyidsulaeman/house-price-prediction-simple-approach", "kernel_id": "12910630"}, {"ref": "sreeram78/house-pricing", "kernel_id": "12550187"}, {"ref": "germanoyoneda/prediction-feature-engineering-stacking", "kernel_id": "12867587"}, {"ref": "aastha124/top-33-house-price-prediction-using-catboost", "kernel_id": "12219965"}, {"ref": "jinayjain/house-price-advanced-regression-technique", "kernel_id": "12313866"}, {"ref": "alexandrevignon/notebook8b298cd751", "kernel_id": "12316501"}, {"ref": "fitsumhailu/house-price-competition", "kernel_id": "12693992"}, {"ref": "andersonmatias/house-prices-competition", "kernel_id": "12223383"}, {"ref": "karishmayadav/house-prices-prediction-using-advanced-regression", "kernel_id": "12101358"}, {"ref": "anirudhsuresh522001/notebook4d29daf374", "kernel_id": "12418402"}, {"ref": "magedmahmoud/classy-notebook-houses-prices-prediction", "kernel_id": "12189153"}, {"ref": "imdevez/housepricepredictionadvancedregression", "kernel_id": "12260744"}, {"ref": "imdevez/top-5-housepriceprediction", "kernel_id": "12238853"}, {"ref": "imdevez/house-price-prediction", "kernel_id": "12219796"}, {"ref": "tomosedwards/house-price-advanced-eda-pca-and-stacking", "kernel_id": "12962311"}, {"ref": "swapnilaryansinha/house-price-prediction", "kernel_id": "12477221"}, {"ref": "swapnamandava/notebooka3d1a98260", "kernel_id": "12452078"}, {"ref": "kelvinchow1979/voteregression", "kernel_id": "12802419"}, {"ref": "mohamedsamymohamed/housing-prediction-for-beginner", "kernel_id": "12164500"}, {"ref": "mohamedsamymohamed/housing-prediction-from-analysis-to-prediction", "kernel_id": "12158415"}, {"ref": "sratnaadhikari/house-price", "kernel_id": "12911403"}, {"ref": "michawilkosz/simple-way-to-top-26-blended-regression-model", "kernel_id": "12118078"}, {"ref": "karinachobotar/notebook607d32fe2a", "kernel_id": "12660853"}, {"ref": "schalkwburger/catboostregressor", "kernel_id": "12706053"}, {"ref": "schalkwburger/house-price-svm", "kernel_id": "12704275"}, {"ref": "schalkwburger/house-price-svr", "kernel_id": "12703735"}, {"ref": "schalkwburger/house-prices-catboost", "kernel_id": "12845212"}, {"ref": "pierretoussing/predicting-house-prices", "kernel_id": "12076079"}, {"ref": "kazuyakusumi/result", "kernel_id": "12804852"}, {"ref": "laukikavhad/house-price-prediction", "kernel_id": "12682814"}, {"ref": "larshallie/house-prediction-competition-1", "kernel_id": "12565557"}, {"ref": "shuditkumar/notebook4814359f9b", "kernel_id": "12362296"}, {"ref": "levnovitskiy/house-prices-feature-engineering-stacking", "kernel_id": "12364373"}, {"ref": "sifodhara/houseprice-prediction-using-randomforest-regressor", "kernel_id": "12014202"}, {"ref": "bumjunkoo/house-prices-with-adaboost", "kernel_id": "12969315"}, {"ref": "ritikasaini/fork-of-house-price-prediction", "kernel_id": "12959371"}, {"ref": "aditiswarna/notebook4ebdca83fa", "kernel_id": "12090211"}, {"ref": "bharatkgupta/house-pricing-final", "kernel_id": "12549487"}, {"ref": "dzehtsiarou/final-code-for-house-prices", "kernel_id": "12630686"}, {"ref": "nandinisingh05/eda-with-model-prediction", "kernel_id": "12513649"}, {"ref": "matthiasmatulla/house-prices-leaderboard-what-is-a-good-score", "kernel_id": "12264952"}, {"ref": "yamashirokousuke/notebook332ba251d2", "kernel_id": "12068194"}, {"ref": "tracyporter/ames-house-prices-catboost", "kernel_id": "12060723"}, {"ref": "toyox2020/house-prices-simple-and-easy-3-steps-to-submit", "kernel_id": "12292978"}, {"ref": "toyox2020/house-prices-comprehensive-eda-visualization", "kernel_id": "12593555"}, {"ref": "toyox2020/how-to-make-work-borutapy-properly-with-lightgbm", "kernel_id": "12757467"}, {"ref": "navyakollu/predict-house-prices-ridge-vs-lasso-vs-elastic", "kernel_id": "12418089"}, {"ref": "josguerra/house-pricing-prediction", "kernel_id": "12824569"}, {"ref": "owentann/advance-house-pricing-regression", "kernel_id": "12717884"}, {"ref": "omarhanyy/gradient-boosting-house-prices", "kernel_id": "12612929"}, {"ref": "allenzhang20/notebook06be0f1f3f", "kernel_id": "12738953"}, {"ref": "philrowe/fork-of-cheatsheet-70-ggplot-charts-a67fec", "kernel_id": "12374216"}, {"ref": "philrowe/exercise-intro-to-automl", "kernel_id": "12247336"}, {"ref": "tonyhuszar/house-prediction", "kernel_id": "12049842"}, {"ref": "lokeshkum/boston-housing", "kernel_id": "12231763"}, {"ref": "saraahmedabdelfatah/notebook68d33141ed", "kernel_id": "12766909"}, {"ref": "csvyas/the-25-club-4-simple-steps", "kernel_id": "12022659"}, {"ref": "nachobergad/house-prices-xgboost", "kernel_id": "12872322"}, {"ref": "namankohliml/randomforest-for-noobs", "kernel_id": "12932854"}, {"ref": "iraseidman/ames-housing-prices-competiton", "kernel_id": "12573236"}, {"ref": "shelvigarg/exercise-intro-to-automl", "kernel_id": "12956178"}, {"ref": "shelvigarg/advance-house-prices-prediction-regression", "kernel_id": "12957109"}, {"ref": "amaanvora/house-prices-advanced-regression-submission", "kernel_id": "12913088"}, {"ref": "weixsu/house-pricing-competition-a-quick-a-z", "kernel_id": "12063413"}, {"ref": "oguzerdo/top-1-house-pricing-project-regression-models", "kernel_id": "12460602"}, {"ref": "mahmutsamierolu/house-prediction", "kernel_id": "12911683"}, {"ref": "sifonsoul/notebook1e62710d19", "kernel_id": "12295830"}, {"ref": "sifonsoul/house-prices-eda-to-ml-beginner", "kernel_id": "12285093"}, {"ref": "sarahdorfmann/statistical-tests-anova-feature-selection", "kernel_id": "12065527"}, {"ref": "ant1core/light-as-a-cat-step-catboost", "kernel_id": "12694500"}, {"ref": "poramintrlimpaporn/houseprices", "kernel_id": "12521618"}, {"ref": "dharmikv821/price-prediction-44342-86-variance", "kernel_id": "12163361"}, {"ref": "janamachutova/house-prices-category-split", "kernel_id": "12007354"}, {"ref": "brianrafferty/house-prices-advanced-regression-my-approach", "kernel_id": "12886798"}, {"ref": "alistairdouglas/house-pricing-prediction-neural-net", "kernel_id": "12743921"}, {"ref": "alistairdouglas/house-pricing-prediction-ensembling", "kernel_id": "12749418"}, {"ref": "nandhakumar01/house-prices-advanced-regression-techniques", "kernel_id": "12304337"}, {"ref": "nandhakumar01/titanic", "kernel_id": "12199521"}, {"ref": "ashdhyani/house-price-prediction-using-ridge-and-lasso", "kernel_id": "12494804"}, {"ref": "hamishisham/house-prices-regression-simple", "kernel_id": "12242848"}, {"ref": "ashishsingh226/stacking-blending-weighted-average-top-10-model", "kernel_id": "12682264"}, {"ref": "alleny244/notebookeb106add3f", "kernel_id": "12423167"}, {"ref": "mostafathi/house-prices", "kernel_id": "12717944"}, {"ref": "mruanova/house-prices-advanced-regression-techniques", "kernel_id": "12360151"}, {"ref": "juria99/house-price-competition", "kernel_id": "12906482"}, {"ref": "vladimirperdih/house-prices-eda-feature-selection-modeling", "kernel_id": "12568611"}, {"ref": "dixitjain/master-project-1a", "kernel_id": "12720049"}, {"ref": "seymagoksel/house-price", "kernel_id": "12705491"}, {"ref": "shritech1404/house-price-prediction", "kernel_id": "12534173"}, {"ref": "libj233/house-price-i", "kernel_id": "12947164"}, {"ref": "juanpauloreguyal/house-prices-advanced-regression-techniques", "kernel_id": "12127411"}, {"ref": "elliemoore/house-prices-bayesian-optimisation", "kernel_id": "12661716"}, {"ref": "harshalgadhe/house-prices", "kernel_id": "12304044"}, {"ref": "zubairm/notebook3cebd53c66", "kernel_id": "12069731"}, {"ref": "hiranaseem/notebook25b9918d20", "kernel_id": "12177212"}, {"ref": "alanoodnajeeb/house-price-regression", "kernel_id": "12079122"}, {"ref": "artemnaumchak/notebook73592dce74", "kernel_id": "12234238"}, {"ref": "yaroslav62/house-pricingyaroslav-siberia-rus", "kernel_id": "12893828"}, {"ref": "mohitahmed/house-prices", "kernel_id": "12166830"}, {"ref": "akhileshthite/house-prices-solution-for-beginners", "kernel_id": "12577997"}, {"ref": "waleedbinowais/notebook144a60da3a", "kernel_id": "12069802"}, {"ref": "saurabhprakashgiri/house-prices-prediction-advanced-regression", "kernel_id": "12031039"}, {"ref": "shaanbarca/fork-of-data-exploration-housing-my-version", "kernel_id": "12975103"}, {"ref": "anantgupt/house-fare-prediction-advanced-top-4", "kernel_id": "12408917"}, {"ref": "mahmoudalaa01010101/regularized-linear-models", "kernel_id": "12456957"}, {"ref": "pavankolachena/house-prices-dataset", "kernel_id": "12172428"}, {"ref": "antoinevillatte/svm-xgboost-glmnet-with-detailed-eda", "kernel_id": "12126403"}, {"ref": "ivanoveo/houseprice-eda-xgboost", "kernel_id": "12415264"}, {"ref": "yosukekuwahara/house-price-ex", "kernel_id": "12819115"}, {"ref": "alirezanematolahy/house-price-prediction", "kernel_id": "12881695"}, {"ref": "nickolayshklyaruk/finalscore", "kernel_id": "12300170"}, {"ref": "ovchinnikovegor/house-price-predict-rus", "kernel_id": "12830599"}, {"ref": "escanor12/house-price", "kernel_id": "12705030"}, {"ref": "ashwinjawalikar/a-very-simple-take-on-house-prices-competition", "kernel_id": "12482866"}, {"ref": "prateekdkumar/house-price", "kernel_id": "12578201"}, {"ref": "randommmjy/data-analysis-house-price-prediction", "kernel_id": "12640935"}, {"ref": "abhayraghuwanshi/household-pricing", "kernel_id": "12114613"}, {"ref": "damianweyers/housing-prices-with-random-forest-regression", "kernel_id": "12006707"}, {"ref": "mr11235/house-prices-eda-pipelines-gridsearchcv", "kernel_id": "12626024"}, {"ref": "bhuwan01/a-complete-advance-house-regression", "kernel_id": "12228818"}, {"ref": "bhuwan01/0-12925-score", "kernel_id": "12162405"}, {"ref": "timurch/advance-regression-house-price-prediction-top-2", "kernel_id": "12401506"}, {"ref": "astridwang/notebook0261b5a9fc", "kernel_id": "12515415"}, {"ref": "yommnamohamed/tutorial-plotly-for-data-analysis", "kernel_id": "12245040"}, {"ref": "omkarsantoshraut/house-prices-advanced-regression-techniques", "kernel_id": "12990875"}, {"ref": "khageshorgiri/regression-house-price-prediction", "kernel_id": "12724016"}, {"ref": "abahmoseso/notebooke45284857e", "kernel_id": "12168488"}, {"ref": "abahmoseso/notebooka9043d66a5", "kernel_id": "12161556"}, {"ref": "abahmoseso/notebook98f46617f2", "kernel_id": "12173669"}, {"ref": "mayanklad/house-prices", "kernel_id": "12413750"}, {"ref": "datajameson/advance-regression-house-price-prediction-top-2", "kernel_id": "12349663"}, {"ref": "zeshanhaiderraza/notebooke5cc162085", "kernel_id": "12115656"}, {"ref": "zeshanhaiderraza/notebook55c1a14856", "kernel_id": "12940915"}, {"ref": "geekspeakerdeep/try-best-score", "kernel_id": "12873303"}, {"ref": "florinactlinaanghel/house-pricing-v2", "kernel_id": "12684755"}, {"ref": "florinactlinaanghel/lab-ml-homework-1-house-pricing-final-version", "kernel_id": "12715037"}, {"ref": "jonahtabbal/housing", "kernel_id": "12256452"}, {"ref": "nandanchoudhary/blendedmodel-of-adv-regression", "kernel_id": "12273833"}, {"ref": "alanyessenbayev/housing-prices-boosting-and-grid-search", "kernel_id": "12758850"}, {"ref": "balasoiuaurelia/regressionhw", "kernel_id": "12670531"}, {"ref": "nishimitakeru/in-japanese-house-prices-with-lasso-regression", "kernel_id": "12211774"}, {"ref": "artemayrapetov/house-prices-stacking-solution-with-xgboost", "kernel_id": "12932814"}, {"ref": "seungah/housing-competition", "kernel_id": "12230583"}, {"ref": "nikosraftogiannis/house-prices-regression-with-tensorflow-2", "kernel_id": "12787595"}, {"ref": "ayesha0616/my-final-submission", "kernel_id": "12423468"}, {"ref": "ayesha0616/hw-4-part-c", "kernel_id": "12398677"}, {"ref": "ayesha0616/hw-4-for-inst414-part-b", "kernel_id": "12308263"}, {"ref": "ayesha0616/hw-4-for-inst414", "kernel_id": "12267175"}, {"ref": "fwziayasser/to-the-point-xd", "kernel_id": "12961338"}, {"ref": "kevinst1/my1stnotebook", "kernel_id": "12279471"}, {"ref": "pandeyashishkumar/comprehensive-data-exploration-with-python", "kernel_id": "12973662"}, {"ref": "asimple/simple-linear-regression-for-beginners", "kernel_id": "12285490"}, {"ref": "mohdawais/house-price-prediction-model", "kernel_id": "12567464"}, {"ref": "gregoryklein314/klein-final-assignment", "kernel_id": "12362459"}, {"ref": "nguynthnhtuyt/house-prices", "kernel_id": "12420745"}, {"ref": "pavelbulgakov/melody-of-the-magical-forest-top-3", "kernel_id": "12328591"}, {"ref": "pavelbulgakov/melody-of-the-magical-forest-top-6", "kernel_id": "12395499"}, {"ref": "johannesbruch/exploring-and-fitting-data-on-house-sales", "kernel_id": "12393612"}, {"ref": "mervehatipolu/comprehensive-data-exploration-with-python", "kernel_id": "12422432"}, {"ref": "mervehatipolu/my-kernel", "kernel_id": "12981629"}, {"ref": "ireneraphael/house-price-prediction-using-python", "kernel_id": "12477616"}, {"ref": "dimasheva1/house-prices-top-200", "kernel_id": "12956835"}, {"ref": "oliviadissen/notebook37b67818bc", "kernel_id": "12427619"}, {"ref": "anastasijacumika/moove-test", "kernel_id": "12402057"}, {"ref": "susanphilip/notebookd0e9208c46", "kernel_id": "12484662"}, {"ref": "paysan/house-prices-with-imputation-and-cross-validation", "kernel_id": "12950167"}, {"ref": "navinseab/house-price-prediction-beginner", "kernel_id": "12775044"}, {"ref": "grigorelucian/hyperparameter-tuning-on-house-prices", "kernel_id": "12623751"}, {"ref": "dwz9406/house-prices-v2-lr-no-std", "kernel_id": "12754247"}, {"ref": "dwz9406/house-prices-v2-lr-std-by-myself", "kernel_id": "12754553"}, {"ref": "lhasan23/predicting-house-prices-lasso-regression", "kernel_id": "12668066"}, {"ref": "qiushiwang/stacking", "kernel_id": "12768774"}, {"ref": "danielornelas/notebook9fe54ae43f", "kernel_id": "12697809"}, {"ref": "mohammedfahadvp/house-price", "kernel_id": "12603639"}, {"ref": "uenokoki/house-price", "kernel_id": "12852636"}, {"ref": "umarkhancodes/ames-house-price", "kernel_id": "12685267"}, {"ref": "hhector25/notebook8ccf36b4cc", "kernel_id": "12715582"}, {"ref": "tennismaro/practice1", "kernel_id": "12722830"}, {"ref": "mengdeyu/11-16house", "kernel_id": "12796233"}, {"ref": "omarouardighi/regression", "kernel_id": "12981650"}, {"ref": "alexandrecazals/learning-data-science", "kernel_id": "12911000"}, {"ref": "nadiyadaniels/exercise-intro-to-automl", "kernel_id": "12923641"}, {"ref": "aziizal/exercise-intro-to-automl", "kernel_id": "12931647"}, {"ref": "upparipavan/linearreggre-houseprice", "kernel_id": "12969004"}, {"ref": "teemumehtonen/house-prices-notebook", "kernel_id": "12945856"}, {"ref": "chetanareddyk/asme-house-prices-eda-and-regression-techniques", "kernel_id": "13186996"}, {"ref": "jeantc21/exercise-intro-to-automl", "kernel_id": "13908329"}, {"ref": "mavillan/spike-hands-on", "kernel_id": "13709906"}, {"ref": "isuruherath/house-prices-prediction-eda", "kernel_id": "13670235"}, {"ref": "isuruherath/house-prices-prediction-feature-engineering", "kernel_id": "13671324"}, {"ref": "yanxunus/0-12079-some-learnings-of-house-price-prediction", "kernel_id": "13862778"}, {"ref": "rsesha/pycaret-vs-auto-viml-on-reg-class-nlp", "kernel_id": "13005350"}, {"ref": "errearanhas/neural-network-naive-regression", "kernel_id": "13135134"}, {"ref": "thebiggner/machine-learning-pipeline", "kernel_id": "13972797"}, {"ref": "newforme/house-price-prediction-score-0-13", "kernel_id": "13750642"}, {"ref": "imjuanraymond/housing-prediction-xgboost", "kernel_id": "13295807"}, {"ref": "drakedyban/housing-prices-advanced-regression-techniques", "kernel_id": "13616287"}, {"ref": "saint1729/math-5110-lab-3a-housing-data-submission", "kernel_id": "13448276"}, {"ref": "luohrq/final-project", "kernel_id": "13193943"}, {"ref": "howeverforever/house-price-dnn-using-tensorflow", "kernel_id": "13528224"}, {"ref": "howeverforever/house-price-xgb-baseline", "kernel_id": "13444812"}, {"ref": "kritidoneria/automl-beginner-housing-prices-using-pycaret", "kernel_id": "13965081"}, {"ref": "akhilesh94/house-price-using-linear-regression", "kernel_id": "13755588"}, {"ref": "shashwatwork/guide-to-statistical-hypothesis-tests-in-python", "kernel_id": "13703414"}, {"ref": "chrisbradley/house-prices-eda-optuna-stacking-top7", "kernel_id": "13870322"}, {"ref": "azimuthal01/genetic-feature-selection", "kernel_id": "13731539"}, {"ref": "binodsuman/house-price-solution-with-step-by-step-explanation", "kernel_id": "13773195"}, {"ref": "abdenourbenacer/house-prices-advanced-regression-techniques", "kernel_id": "13502697"}, {"ref": "fanbyprinciple/fastai-v4-random-forest-on-house-prices", "kernel_id": "13892467"}, {"ref": "virtual888/prices-prediction-lightgbm-xgboost-lb-14", "kernel_id": "13003271"}, {"ref": "slavavvv/house-prices-svyatoslav", "kernel_id": "13179925"}, {"ref": "paradoxlover/a-step-towards-leaderboard-climbing", "kernel_id": "13936949"}, {"ref": "parthiv6672/fork-of-kernel244a097b58-train-data-0570aa", "kernel_id": "13841095"}, {"ref": "anvkom/notebookf9eaf92b5e", "kernel_id": "13708859"}, {"ref": "salmaeng/ordered-integer-encoding", "kernel_id": "13295573"}, {"ref": "aicentral/house-price-prediction-using-xgboost", "kernel_id": "13327882"}, {"ref": "sadidul012/gbr-testing", "kernel_id": "13215441"}, {"ref": "batprem/why-log-normal-distribution-matters", "kernel_id": "13460778"}, {"ref": "batprem/house-price-prediction-after-eda", "kernel_id": "13441568"}, {"ref": "batprem/hpp-after-eda-and-stack-regression", "kernel_id": "13882250"}, {"ref": "softhoon/house-prices-advanced-regression-techniques", "kernel_id": "13448309"}, {"ref": "entrpn/multiple-regressors-feeding-a-neural-network", "kernel_id": "13247731"}, {"ref": "kami634/top-3-on-new-leaderboard-0-11599", "kernel_id": "13130610"}, {"ref": "glushko/house-prices-regression-modelling-part-ii", "kernel_id": "13673815"}, {"ref": "merhom/house-price-predictions-regression-models", "kernel_id": "13041501"}, {"ref": "piotrwawrzyniec/house-prices-notebook", "kernel_id": "13339277"}, {"ref": "soumik11/gb-family-for-kaggle-competition", "kernel_id": "13879450"}, {"ref": "alkhantitan/eda-house-price", "kernel_id": "13364285"}, {"ref": "franciscomcm/step-by-step-ml-1-house-prices-prediction", "kernel_id": "13177931"}, {"ref": "ahmedhisham73/regressor", "kernel_id": "13340280"}, {"ref": "serendipity09/basic-eda-and-transformation", "kernel_id": "13496796"}, {"ref": "mkudlick/house-prices-random-forest", "kernel_id": "13349315"}, {"ref": "adujohn/beginner-top-15-20", "kernel_id": "13083097"}, {"ref": "eschibli/simple-lightgbm", "kernel_id": "13930819"}, {"ref": "kamakshisoni/comprehensive-eda-and-prediction", "kernel_id": "13196157"}, {"ref": "snehashukla777/housepriceprediction", "kernel_id": "13792118"}, {"ref": "ppsheth91/score-0-132-basic-preprocessing-xgb-regressor", "kernel_id": "13893341"}, {"ref": "josslyn1211/notebook", "kernel_id": "13993102"}, {"ref": "anirudhchauhan/house-price-prediction-5-ml-models", "kernel_id": "13052311"}, {"ref": "yadav24082000/linear-regression", "kernel_id": "13772017"}, {"ref": "kholoudsayed/house-prices-advanced-regression-techniqu", "kernel_id": "13735274"}, {"ref": "neshyyy/housing-advanced-with-models-google-ml-challenge", "kernel_id": "13091010"}, {"ref": "prajittr/predict-future-sales", "kernel_id": "13345333"}, {"ref": "charansai612/interactive-eda", "kernel_id": "13648458"}, {"ref": "richardbritto97/house-price-prediction", "kernel_id": "13374965"}, {"ref": "christianthieme/house-price-regression-with-tidyverse-tidymodels", "kernel_id": "13669938"}, {"ref": "mihirmomaya/house-prices-basic-linear-regression", "kernel_id": "13168536"}, {"ref": "siddharth1234/sidhouse", "kernel_id": "13460333"}, {"ref": "avighosh1990/house-price-advance-regression", "kernel_id": "13899221"}, {"ref": "gilberttjahjono/house-prices", "kernel_id": "13284898"}, {"ref": "backup1123/preprocessing-pipelines-with-sklearn", "kernel_id": "13172009"}, {"ref": "mitramir5/missing-values-ordinal-data-and-stories", "kernel_id": "13279148"}, {"ref": "mitramir5/anomaly-detection-skewed-features-and-stories", "kernel_id": "13539668"}, {"ref": "sarathod/house-pricing", "kernel_id": "13151591"}, {"ref": "ozziejin/voting-ensemble-of-linear-xgbt-top-15", "kernel_id": "13497419"}, {"ref": "sai4098/notebook6b00ca8d38", "kernel_id": "13821494"}, {"ref": "kickitlikeshika/easy-and-effective-approach-to-predict-house-price", "kernel_id": "13064137"}, {"ref": "mwaqaschughtai/detailed-exploratory-data-analysis-with-python", "kernel_id": "13000701"}, {"ref": "sarthakjohnsonprasad/notebookfb4dc97d67", "kernel_id": "13440221"}, {"ref": "aniketnayakawadi/house-price-prediction-eda-rmse-0-09", "kernel_id": "13261481"}, {"ref": "aniketnayakawadi/house-price-predictions-beginners-test-rmse-0-09", "kernel_id": "13301395"}, {"ref": "jesuscarmona12/predicci-n-de-precios-con-regresiones-lineales", "kernel_id": "13353790"}, {"ref": "renzophellan/initial-steps-neural-network", "kernel_id": "13841903"}, {"ref": "hrithikadodia/house-prices-quick-analysis", "kernel_id": "13662531"}, {"ref": "sohaibwael/using-linear-regression", "kernel_id": "13020578"}, {"ref": "sangminyoon/house-price-prediction-with-catboostregressor-ba", "kernel_id": "13423507"}, {"ref": "ln5689/house-prices-eda", "kernel_id": "13879327"}, {"ref": "nitinrana2555/house-price-pred", "kernel_id": "13667441"}, {"ref": "smriti124/house-price-prediction", "kernel_id": "13719432"}, {"ref": "rainbowhyena/houseprices-new", "kernel_id": "13787446"}, {"ref": "vikingpathak/rmse-0-09-extensive-data-exploration-a-z", "kernel_id": "13337235"}, {"ref": "suneelkumarkanthala/house-price-prediction-suneel", "kernel_id": "13769375"}, {"ref": "ronnyfahrudin/model-comparison-pycaret-beginner", "kernel_id": "13359090"}, {"ref": "wanluluo/regularized-linear-models-902a83", "kernel_id": "13191210"}, {"ref": "erfansultan/handling-missing-values", "kernel_id": "13173201"}, {"ref": "tianyangzhaodtu/house-prices-advanced-regression-techniques", "kernel_id": "13360528"}, {"ref": "itokianarafidinarivo/houses-prices-baseline-model", "kernel_id": "13593707"}, {"ref": "mountaga/house-prices-using-gradientboostingregressor", "kernel_id": "13383567"}, {"ref": "pierrejeanne/predict-sales-prices-data-cleaning-eda-ml", "kernel_id": "13060761"}, {"ref": "ankitvermacolumbia/advanced-house-prediction-competition", "kernel_id": "13480589"}, {"ref": "davidblumenstiel/housing-prices-advanced-regression", "kernel_id": "13432129"}, {"ref": "maazbinasad/housepricebasic", "kernel_id": "13127834"}, {"ref": "harsharora0703/house-price-prediction", "kernel_id": "13354120"}, {"ref": "argishti/lightgbm-house-prices-rmsle-0-127-score-0-98", "kernel_id": "13875933"}, {"ref": "aakash4235/predicting-house-price-with-lr-90-score", "kernel_id": "13234617"}, {"ref": "salhimohamednadjib/nadjib-salhi", "kernel_id": "13041166"}, {"ref": "ridhomuhammad/housepricing", "kernel_id": "13691709"}, {"ref": "skydevour/stacked-regressions-top-4-on-leaderboard", "kernel_id": "13198051"}, {"ref": "blackhurt/my-approach-to-be-in-top-40", "kernel_id": "13973893"}, {"ref": "blackhurt/notebook7d53690501", "kernel_id": "13247362"}, {"ref": "amankumar270295/house-price-advanced-reg", "kernel_id": "13315497"}, {"ref": "ruchitb/house-prices-prediction-using-linear-regression", "kernel_id": "13733404"}, {"ref": "mauricioasperti/house-prices-advanced-regression-techniques", "kernel_id": "13365371"}, {"ref": "rushikeshlavate/apply-xgboost-for-house-price-prediction-top10", "kernel_id": "13650213"}, {"ref": "tomonorisasaki/hpar-with-regression-analysis", "kernel_id": "13736417"}, {"ref": "tomonorisasaki/xgboost-exercise", "kernel_id": "13542861"}, {"ref": "chanakyavivekkapoor/house-price-prediction", "kernel_id": "13807097"}, {"ref": "alextruong91/housepricepredictor", "kernel_id": "13857967"}, {"ref": "hazimmir/advaced-stacking-blending-houseprice-regression", "kernel_id": "13023839"}, {"ref": "feamaika/predict-sales-prices-hello-world", "kernel_id": "13729401"}, {"ref": "duydnn/house-price-eda-caret-ml-and-h2o-ml", "kernel_id": "13688798"}, {"ref": "chiaoyicheng/data-transformer-selection-with-pipeline", "kernel_id": "13415496"}, {"ref": "dipanjandeysarkar/house-price-prediction-score-0-13263", "kernel_id": "13083108"}, {"ref": "javierorman/housing-eda-feat-eng-pipeline-xgboost", "kernel_id": "13383352"}, {"ref": "priyankagaidhani/house-price-prediction-using-pytorch-embedding", "kernel_id": "13785351"}, {"ref": "mohitkarelia/hpp1-00", "kernel_id": "13959853"}, {"ref": "banamed/house-price-prediction", "kernel_id": "13101622"}, {"ref": "courtneygallant/advanced-regression-techniques-house-prices", "kernel_id": "13527772"}, {"ref": "nitiruengcharoen/house-price-advance-regression", "kernel_id": "13551864"}, {"ref": "kishinhoshima/baseline", "kernel_id": "13615002"}, {"ref": "naninm/houses-price-prediction", "kernel_id": "13124179"}, {"ref": "shukashimura/notebook-for-presentation-12-20", "kernel_id": "13675558"}, {"ref": "anupamisra/regression-house-price-approximation", "kernel_id": "13597919"}, {"ref": "kiranabhinav/multiple-linear-regression", "kernel_id": "13296299"}, {"ref": "pawankumarsafi/data-cleaning", "kernel_id": "13948924"}, {"ref": "tarf23/housing-price-final", "kernel_id": "13553974"}, {"ref": "niket1604/house-prices", "kernel_id": "13071917"}, {"ref": "roohisharma/house-price-prediction-using-linear-regression", "kernel_id": "13651692"}, {"ref": "virajkadam/notebookfa6a9143c9", "kernel_id": "13162820"}, {"ref": "onurserbetci/end-to-end-project-automated-eda-f-engineering", "kernel_id": "13138245"}, {"ref": "sathianpong/preprocessing-house-price-dataset", "kernel_id": "13806605"}, {"ref": "nnkien/house-price-predictions", "kernel_id": "13444785"}, {"ref": "abdelrahmanzied/house-prices-data-processing-and-regression", "kernel_id": "13149960"}, {"ref": "zayanmakar/house-prices-basic-analysis-beginner", "kernel_id": "13285223"}, {"ref": "zayanmakar/house-prices-prediction-with-linear-regression", "kernel_id": "13797883"}, {"ref": "zayanmakar/use-gradientboostingregressor-to-predic-prices", "kernel_id": "13847434"}, {"ref": "feyzazkefe/house-prediction", "kernel_id": "13347937"}, {"ref": "srikanthmachiraju/understanding-regularized-regression", "kernel_id": "13063665"}, {"ref": "fabianschmitz/bachelorarbeit", "kernel_id": "13309974"}, {"ref": "jackttai/house-prices-using-lgbm", "kernel_id": "13647836"}, {"ref": "stephenkong/eda-with-shap", "kernel_id": "13225775"}, {"ref": "stephenkong/missing-values-iterative-impute-procedure", "kernel_id": "13182098"}, {"ref": "gigunlee/house-prices", "kernel_id": "13699811"}, {"ref": "gigunlee/beginner-data-exploration-basic-tutorial", "kernel_id": "13902268"}, {"ref": "jadrmili/a-model-using-gbr-score-98", "kernel_id": "13827237"}, {"ref": "aravrs/house-prices-models-benchmark", "kernel_id": "13355641"}, {"ref": "raafaq/advanced-regression-xgbregressor-simple-dataprep", "kernel_id": "13649191"}, {"ref": "sanyamgujral/notebook3a24a61d42", "kernel_id": "13428826"}, {"ref": "gaurav2106/house-prices-advanced-regression-techniqu", "kernel_id": "13897470"}, {"ref": "mamxlam/house-prices-prediction-top-26", "kernel_id": "13972360"}, {"ref": "startover205/fastai-2-house-pricing", "kernel_id": "13521817"}, {"ref": "seymagoksel/house-price-prediction", "kernel_id": "13599142"}, {"ref": "riteshpatil8998/house-price-prediction", "kernel_id": "13430136"}, {"ref": "klmsathishkumar/house-price-prediction", "kernel_id": "13981911"}, {"ref": "vladwell/houses-exploration-preprocessing", "kernel_id": "13927148"}, {"ref": "rickyrick/house-prices-analysis-and-cleaning", "kernel_id": "13153862"}, {"ref": "kevinliaoo/house-prices", "kernel_id": "13156285"}, {"ref": "mostafahegab/simple-feature-engineering-with-ridge-regression", "kernel_id": "13190875"}, {"ref": "monika58/notebookdbfbec4bbb", "kernel_id": "13632148"}, {"ref": "escanor12/house-price-xgb", "kernel_id": "13278540"}, {"ref": "randommmjy/linear-regression-house-price-prediction", "kernel_id": "13647513"}, {"ref": "ivanseredenko/house-pricing-linear-prediction", "kernel_id": "13870975"}, {"ref": "khalilmartin/housing-prices-regression", "kernel_id": "13245992"}, {"ref": "nathanporter/house-prices-final", "kernel_id": "13275134"}, {"ref": "aishwaryazambare/house-price", "kernel_id": "13901049"}, {"ref": "serkangzel/house-price-estimation", "kernel_id": "13495422"}, {"ref": "michaelgeracie/modelling-overview-regression", "kernel_id": "13365801"}, {"ref": "jesssouza/4th-project-jess-souza", "kernel_id": "13227014"}, {"ref": "natchimuthun/house-price-prediction-gbr-xgb-pipeline", "kernel_id": "13600179"}, {"ref": "awwalmalhi/hyperparameter-tuning-with-optuna-and-gridsearch", "kernel_id": "13747559"}, {"ref": "amineandam/missing-values-are-not-missing", "kernel_id": "13228678"}, {"ref": "yashinaniya/housing-price-prediction-using-svm", "kernel_id": "13572181"}, {"ref": "ajinkyaspatil/notebook24c855275e", "kernel_id": "13928478"}, {"ref": "mahmoudlimam/titanic-randomforest-imputation-pipeline", "kernel_id": "13397894"}, {"ref": "jamescorbin/automated-feature-preprocessing-and-run-1k-models", "kernel_id": "13475960"}, {"ref": "santoshadhikari/house-price-prediction", "kernel_id": "13637722"}, {"ref": "santoshadhikari/predicting-house-prices-with-machine-learning", "kernel_id": "13559312"}, {"ref": "cristianaat/sale-price-ols-regression-and-analysis", "kernel_id": "13185799"}, {"ref": "azxc9595/0-129error-simple-regression-models", "kernel_id": "13937007"}, {"ref": "prosenjit123/house-price-prediction", "kernel_id": "13122743"}, {"ref": "hhsmobileapps/house-price-prediction-from-a-z", "kernel_id": "13426452"}, {"ref": "crisjones/project-zhandaulet-ibragim-almat-haydar", "kernel_id": "13625716"}, {"ref": "zhandauletkamalov/project-kamalovzhandaulet-ibragim-almat-haydar", "kernel_id": "13622508"}, {"ref": "nishantdeshmukh/regression-a-43", "kernel_id": "13773765"}, {"ref": "shwetabhujbal/house-prices-advanced-regression", "kernel_id": "13923358"}, {"ref": "mervehatipolu/house-prices", "kernel_id": "13195109"}, {"ref": "jeongwonkim10516/house-prices-advanced-regression-techniques", "kernel_id": "13334092"}, {"ref": "yerkes/notebook7d232bf056", "kernel_id": "13608013"}, {"ref": "yerkes/predicting-house-prices-with-machine-learning", "kernel_id": "13608049"}, {"ref": "tuhinsubhrade/housing-prices", "kernel_id": "13795150"}, {"ref": "walmikp/house-prices-prediction-walmik", "kernel_id": "13537583"}, {"ref": "irinana/just-del-outgoing", "kernel_id": "13530913"}, {"ref": "semenedel/notebookd73981d422", "kernel_id": "13266705"}, {"ref": "rishee/housing-xgb-regression", "kernel_id": "13317123"}, {"ref": "xuanzhihuang/house-price-prediction-only-with-mlr", "kernel_id": "13710524"}, {"ref": "kennyvan/house-prices-notebook", "kernel_id": "13272211"}, {"ref": "austinhoward/exercise-machine-learning-competitions", "kernel_id": "13514802"}, {"ref": "daotan/houseprice-using-linearregression", "kernel_id": "13375554"}, {"ref": "sanskrutighadipatil/xg-saleprice", "kernel_id": "13987426"}, {"ref": "sanskrutighadipatil/saleprice", "kernel_id": "13987270"}, {"ref": "yansayfullin/house-prices-lightgbm-and-xgboost", "kernel_id": "13018851"}, {"ref": "hyewon328/houseprices-eda-with-explanations", "kernel_id": "13109140"}, {"ref": "himanshusingh2020/regresssion-for-house-prices", "kernel_id": "13860965"}, {"ref": "jyothikajalla/jyothikajalla-machinelearning2", "kernel_id": "13655893"}, {"ref": "mfaiztriputra/notebook1e10c7b689", "kernel_id": "13101414"}, {"ref": "manasichhibber/house-prices-prediction-using-linear-regression", "kernel_id": "13924790"}, {"ref": "drzabeen/linear-regression-house-price-prediction", "kernel_id": "13174193"}, {"ref": "pythonkumar/houseprice-solution-easiest-way-90-accuracy", "kernel_id": "13793513"}, {"ref": "wiwiteria/notebook3fbb94f334", "kernel_id": "13387010"}, {"ref": "wiwiteria/exercise-intro-to-automl", "kernel_id": "13700031"}, {"ref": "shivanipolagoni/project2", "kernel_id": "13620023"}, {"ref": "joonogueira/m-tricas-de-regress-o", "kernel_id": "13272082"}, {"ref": "ivanpl/house-pricing-regression-techniques", "kernel_id": "13432965"}, {"ref": "ranaelzahy/house-prices", "kernel_id": "13322883"}, {"ref": "harshitkaran/saleprice", "kernel_id": "13623010"}, {"ref": "rahulmumbai/comprehensive-eda-and-prediction", "kernel_id": "13380805"}, {"ref": "rahulmumbai/house-price-competition", "kernel_id": "13380656"}, {"ref": "rahulmumbai/house-prices-eda", "kernel_id": "13380598"}, {"ref": "hkpaul2020/missing-values-ordinal-data-and-stories", "kernel_id": "13422896"}, {"ref": "liyilang/house-prices", "kernel_id": "13802583"}, {"ref": "antonmoroziuk/notebook9848cfd764", "kernel_id": "13486126"}, {"ref": "julianjoseph/datathon-day-2", "kernel_id": "13507750"}, {"ref": "aanchaltiwari/house-price-prediction", "kernel_id": "13565356"}, {"ref": "gayonkim/notebook1e9a17ca37", "kernel_id": "13718118"}, {"ref": "yosrhb/notebookd0dadf712d", "kernel_id": "13813592"}, {"ref": "rodolfoshimotsu/houses-prices-with-gboostreg", "kernel_id": "13840719"}, {"ref": "qyuanyuan/house-prices-advanced-regression", "kernel_id": "13978292"}, {"ref": "sumeetspisal/notebookdd8558431c", "kernel_id": "13928830"}, {"ref": "mohanhari/notebook8a7e44a169", "kernel_id": "13993500"}, {"ref": "alexryzhkov/lightautoml-houseprices-love", "kernel_id": "14957590"}, {"ref": "ljr38687/regression-models-on-ames-housing-dataset", "kernel_id": "14579370"}, {"ref": "perotti/eda-in-class-2-11-2021", "kernel_id": "14826371"}, {"ref": "sayantanidasgupta/notebookb3f0ed6240", "kernel_id": "14818317"}, {"ref": "rmitra/housing-preprocess-pca-lin-reg-rmsle-0-15", "kernel_id": "14095389"}, {"ref": "solegalli/predict-house-price-with-feature-engine", "kernel_id": "14038243"}, {"ref": "solegalli/feature-engineering-and-model-stacking", "kernel_id": "14427125"}, {"ref": "surbhisultania/data-exploration-house-prices-regression", "kernel_id": "14711800"}, {"ref": "edwardarubin/intro-tidymodels-split-kaggle", "kernel_id": "14786912"}, {"ref": "edwardarubin/project-000-example", "kernel_id": "14074527"}, {"ref": "edwardarubin/project-000-followup", "kernel_id": "14093738"}, {"ref": "lc4311/acada-tnp-mod6-sample-notebook", "kernel_id": "14294784"}, {"ref": "zpal91/house-prices-model-pipelines-and-results-viz", "kernel_id": "14309873"}, {"ref": "shams1/house", "kernel_id": "14926116"}, {"ref": "lovely94/houseprice-model-fitting", "kernel_id": "14090966"}, {"ref": "sunil5807516/ridge-and-lasso-regression", "kernel_id": "14317828"}, {"ref": "xavier14/catboost-regressor", "kernel_id": "14088567"}, {"ref": "lucabasa/decision-trees-pca-and-data-compression", "kernel_id": "14867387"}, {"ref": "kimalamsyah/housing-price-prediction-scikit-learn", "kernel_id": "14200749"}, {"ref": "trsuraj/houseprice-predictions-regression-techniques", "kernel_id": "14461511"}, {"ref": "ollibolli/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "14728251"}, {"ref": "santoshbothe/linear-regression-house-price-prediction", "kernel_id": "14554190"}, {"ref": "nitinrach/advanced-regression", "kernel_id": "14857889"}, {"ref": "gregckrause/house-prices-advanced-regression-azure-automl", "kernel_id": "14096987"}, {"ref": "nageshsingh/predict-sales-prices", "kernel_id": "14009754"}, {"ref": "nageshsingh/house-price-prediction-eda-modeling", "kernel_id": "14048506"}, {"ref": "ryanholbrook/feature-engineering-for-house-prices", "kernel_id": "14393928"}, {"ref": "lordhasanali/jatin-gulati-notebookv0-1", "kernel_id": "14290631"}, {"ref": "yutoricstar/house-price", "kernel_id": "14239369"}, {"ref": "ridloalin/houses-prices", "kernel_id": "14592018"}, {"ref": "shamsulalam2918/house-prices", "kernel_id": "14943663"}, {"ref": "space4vv/house-prices-advanced-regression", "kernel_id": "14386993"}, {"ref": "ahmedmkhalifa/comprehensive-data-exploration-with-python", "kernel_id": "14150705"}, {"ref": "ahmedmkhalifa/guide-for-comprehensive-data-exploration-in-python", "kernel_id": "14174085"}, {"ref": "jagdmir/house-pricing-ensemble-of-multiple-models", "kernel_id": "14310224"}, {"ref": "thiagopanini/exploring-and-modeling-housing-prices", "kernel_id": "14044448"}, {"ref": "aicentral/house-price-prediction-using-automl", "kernel_id": "14440134"}, {"ref": "erkutygt/comprehensive-data-exploration-with-python", "kernel_id": "14580161"}, {"ref": "heolinhdam/house-prices", "kernel_id": "14321641"}, {"ref": "fengjim/house-price-prediction", "kernel_id": "14644846"}, {"ref": "raigor21/h-w-kaggle", "kernel_id": "14103780"}, {"ref": "lalbabusah/house-prices-advanced-regression-techniques", "kernel_id": "14769428"}, {"ref": "iamdeepak95/advance-house-price-pipeline", "kernel_id": "14993972"}, {"ref": "neerajkhadagade/house-price-prediction-eda-and-model-building", "kernel_id": "14820797"}, {"ref": "andriik86/house-prices-prediction-with-xgboost-and-optuna", "kernel_id": "14865864"}, {"ref": "daaibraanies/notebookdeb5e90587", "kernel_id": "14923744"}, {"ref": "franciscodiasneto/house-prices", "kernel_id": "14197530"}, {"ref": "simplya/notebook-ac", "kernel_id": "14056120"}, {"ref": "eschibli/house-prices-automl", "kernel_id": "14066604"}, {"ref": "bhaskar714/house-sale-price-prediction-using-xgregressor", "kernel_id": "14243816"}, {"ref": "marto24/beginners-prediction-top3", "kernel_id": "14365653"}, {"ref": "harshsoni/house-price-prediction-epoch-1-unk", "kernel_id": "14737826"}, {"ref": "ppsheth91/ann-keras-hyper-parameter-tuning-price-prediction", "kernel_id": "14022632"}, {"ref": "faressayah/xgboost-vs-lightgbm-vs-catboost-vs-adaboost", "kernel_id": "14731699"}, {"ref": "keremdokumaci/eda-and-ensemble", "kernel_id": "14121897"}, {"ref": "bansarii/data-preprocessing-house-data", "kernel_id": "14900385"}, {"ref": "bansarii/eda-house-data", "kernel_id": "14893316"}, {"ref": "bansarii/ml-model-house-data", "kernel_id": "14925015"}, {"ref": "bansarii/data-transformation-house-data", "kernel_id": "14921151"}, {"ref": "rafaelpleite/house-price-analysis-and-predict-using-plotly", "kernel_id": "14377909"}, {"ref": "andreshg/automatic-eda-libraries-comparisson", "kernel_id": "14537721"}, {"ref": "andreshg/house-price-eda-and-prediction", "kernel_id": "14235027"}, {"ref": "lindayi/eda-prediction-of-house-price", "kernel_id": "14677870"}, {"ref": "cyan88/my-multilinear-regression", "kernel_id": "14451354"}, {"ref": "cyan88/multilinear-regression-template", "kernel_id": "14410506"}, {"ref": "ganiyuolalekan/house-prices-prediction-beginner", "kernel_id": "14353776"}, {"ref": "souparnabose99/housing-price-lasso-reg", "kernel_id": "14725413"}, {"ref": "fikrietaswin/saleprice-prediction", "kernel_id": "14021851"}, {"ref": "siddharthpchauhan/house-price-prediction-using-pycaret", "kernel_id": "14366273"}, {"ref": "baranowskibrt/housing-prices-eda-lasso-mlp-xgboost", "kernel_id": "14905862"}, {"ref": "thalesbruno/regression-house-prices-using-pipeline", "kernel_id": "14505494"}, {"ref": "mo7mmedcs/house-sale-price-prediction", "kernel_id": "14255865"}, {"ref": "arko007/linear-regression-house-prices", "kernel_id": "14706778"}, {"ref": "guanggiang/house-price-top-8", "kernel_id": "14723678"}, {"ref": "guecoraph/predict-house-prices-beginner", "kernel_id": "14362083"}, {"ref": "shantanuss/advance-regression-on-housing-data-score-0-13275", "kernel_id": "14640145"}, {"ref": "nanimack/house-price-prediction", "kernel_id": "14225748"}, {"ref": "leesuiping/car-price-some-of-regression-models", "kernel_id": "14858319"}, {"ref": "lama122/house-prices-advanced-regression-techniques", "kernel_id": "14272972"}, {"ref": "sahranjit77/price-prediction", "kernel_id": "14434691"}, {"ref": "ironicninja/a-beginner-s-guide-to-python-for-data-science", "kernel_id": "14374503"}, {"ref": "shrutimehendale/advanced-regression-house-prices-competition", "kernel_id": "14620268"}, {"ref": "haniehghaffari/2-house-price-mean-std", "kernel_id": "14733260"}, {"ref": "haniehghaffari/3-house-price-find-missing-values", "kernel_id": "14502066"}, {"ref": "haniehghaffari/5-house-price-imputation-miss-values-r", "kernel_id": "14517652"}, {"ref": "haniehghaffari/0-house-price-eda", "kernel_id": "14574717"}, {"ref": "haniehghaffari/1-only-target-eda", "kernel_id": "14576301"}, {"ref": "haniehghaffari/4-full-model-r", "kernel_id": "14626379"}, {"ref": "guldenyildirim/a-statistical-analysis-on-house-price-data", "kernel_id": "14556865"}, {"ref": "shubham5211/house-prices-prediction-using-various-models", "kernel_id": "14673351"}, {"ref": "martinhvizdak/houseprices-score-0-13", "kernel_id": "14167758"}, {"ref": "tleonel/house-prices-art-an-r-approach", "kernel_id": "14287257"}, {"ref": "firebee/eda-feature-engineering", "kernel_id": "14310337"}, {"ref": "firebee/notebookd57e16a930", "kernel_id": "14308536"}, {"ref": "namanjeetsingh/advance-house-price-prediction-project", "kernel_id": "14024506"}, {"ref": "rainbowhyena/housepricescorrect", "kernel_id": "14335856"}, {"ref": "yosghdv/houseprice-prediction", "kernel_id": "14553872"}, {"ref": "mustafacicek/lightgbm-xgboost-parameter-tuning-bayessearchcv", "kernel_id": "14202749"}, {"ref": "mustafacicek/top-3-eda-feature-engineering-oof", "kernel_id": "14194265"}, {"ref": "jyosmithamunnangi/indepth-eda-10-featureselection-techniques", "kernel_id": "14861533"}, {"ref": "njmmaryem/house-prices-predictions", "kernel_id": "14870683"}, {"ref": "essefiahlem/automl-beginner-housing-prices-using-pycaret", "kernel_id": "14247950"}, {"ref": "smartyalien/house-price-prediction-using-random-forest", "kernel_id": "14845399"}, {"ref": "itokianarafidinarivo/house-prices-xgboost", "kernel_id": "14717168"}, {"ref": "ruchahemantathavale/house-prices-machine-learning", "kernel_id": "14236523"}, {"ref": "bsridevi/eda-housepriceprediction", "kernel_id": "14662399"}, {"ref": "nitinkrsingh/advance-house-price-prediction", "kernel_id": "14705835"}, {"ref": "nikhilbartwal001/house-price-prediction-project", "kernel_id": "14420473"}, {"ref": "hiuanh/test-case", "kernel_id": "14507368"}, {"ref": "gorkembakir/hp-eda", "kernel_id": "14290229"}, {"ref": "muhamadagus/housing-prices", "kernel_id": "14369490"}, {"ref": "brendanmanning443/notebook04cb9a8032", "kernel_id": "14454517"}, {"ref": "ankitverma2010/house-price-prediction-ensemble-methods", "kernel_id": "14454159"}, {"ref": "ankitverma2010/house-prices-prediction-beginner-to-advanced", "kernel_id": "14433369"}, {"ref": "dimasmunoz/basic-catboost-regression", "kernel_id": "14823124"}, {"ref": "edwardgoo/kaggle-first-competition", "kernel_id": "14802446"}, {"ref": "leandrofusco88/project-house-prices", "kernel_id": "14313917"}, {"ref": "jatingul/jatin-gulati-notebookv0-1-78ff2d", "kernel_id": "14309629"}, {"ref": "engabdulaziz/houses-prices-prediction", "kernel_id": "14272533"}, {"ref": "sumandey/house-price-pred", "kernel_id": "14709632"}, {"ref": "sameerpandey/comprehensive-data-exploration-with-python", "kernel_id": "14127488"}, {"ref": "hussainalqatari/house-competition-results-team-2", "kernel_id": "14266856"}, {"ref": "tillmandegens/tillman-project-3", "kernel_id": "14834502"}, {"ref": "tillmandegens/tillmanproject2", "kernel_id": "14551040"}, {"ref": "bumjunkoo/house-prices-with-xgboost", "kernel_id": "14312664"}, {"ref": "nkitgupta/who-will-leave-a-job", "kernel_id": "14310012"}, {"ref": "marbatlle/predict-with-regression-ridge-and-lasso", "kernel_id": "14736135"}, {"ref": "balaramk/saleprice-using-kernelridge-rfecv", "kernel_id": "14448922"}, {"ref": "danieloyama/my-first-proyect", "kernel_id": "14664036"}, {"ref": "homayoonkhadivi/significant-eda-preprocessing-result-house-price", "kernel_id": "14039412"}, {"ref": "tracyporter/house-prices-reduce-columns-bagging", "kernel_id": "14652976"}, {"ref": "tracyporter/house-prices-adaboostregressor", "kernel_id": "14134561"}, {"ref": "byeongheonkang/simple-keras-for-house-prices", "kernel_id": "14705712"}, {"ref": "nezarabdilahprakasa/predict-house-price-advanced", "kernel_id": "14442501"}, {"ref": "kenkem/notebook9a85b19085", "kernel_id": "14840387"}, {"ref": "melee20/multilinear-regression-template", "kernel_id": "14451381"}, {"ref": "onispellsword/house-prices-advance-regression-techniques", "kernel_id": "14592542"}, {"ref": "yadavrahul2k15/house-price-prediction", "kernel_id": "14295450"}, {"ref": "parthsingh5/homeprices-predictions", "kernel_id": "14653171"}, {"ref": "weslatimarwen/house-prices-beginner", "kernel_id": "14327425"}, {"ref": "huzeyfedegirmenci/house-prices", "kernel_id": "14735651"}, {"ref": "zayanmakar/high-score-predictions-for-house-prices", "kernel_id": "14879200"}, {"ref": "zayanmakar/use-gradientboostingregressor-with-parameters", "kernel_id": "14122902"}, {"ref": "naniwazu/notebook-house-prices", "kernel_id": "14961415"}, {"ref": "anuvarshini98/house-price-prediction", "kernel_id": "14277873"}, {"ref": "luisgarchi/house-price-analysis", "kernel_id": "14666405"}, {"ref": "akhilram7/house-price-prediction", "kernel_id": "14392474"}, {"ref": "saky9596/house-prices-prediction", "kernel_id": "14868770"}, {"ref": "thelazyaz/iowa-house-prices", "kernel_id": "14739356"}, {"ref": "alexribeiro1208/detailed-exploratory-data-analysis-with-python", "kernel_id": "14121273"}, {"ref": "marionhesse/xgboost-parameter-tuning-for-beginners", "kernel_id": "14473608"}, {"ref": "naokiyokoyama/house", "kernel_id": "14018702"}, {"ref": "arifnezami/house-price-with-r", "kernel_id": "14263558"}, {"ref": "rajkumarl/jane-day-242-feature-generation-and-selection", "kernel_id": "14704815"}, {"ref": "lazaro97/data-preprocessing-and-linear-regression-with-r", "kernel_id": "14615689"}, {"ref": "riteshpatil8998/top-49-house-pricing-using-ridge-and-lasso", "kernel_id": "14291241"}, {"ref": "cynthiar18/house-prices-prediction", "kernel_id": "14544486"}, {"ref": "tonytrieu/house-prices-predictions-mn", "kernel_id": "14676634"}, {"ref": "akarshu121/house-prices-advanced-regression-technique-eda", "kernel_id": "14593215"}, {"ref": "nicholasjwilliams/pca-and-regression", "kernel_id": "14478790"}, {"ref": "victorejenam/house-prices", "kernel_id": "14562651"}, {"ref": "neslee/improving-prediction-with-feature-engineering", "kernel_id": "14941693"}, {"ref": "kukeshk/house-prediction", "kernel_id": "14540799"}, {"ref": "pranjalahuja/pca-regression-basic", "kernel_id": "14565422"}, {"ref": "jedbell/iowa-house-prices", "kernel_id": "14213585"}, {"ref": "ianbogley/ec524-project-001-housing-prices-via-validation", "kernel_id": "14354931"}, {"ref": "satyammodi/notebook462ddda703", "kernel_id": "14546108"}, {"ref": "ekaterinadranitsyna/house-evaluation", "kernel_id": "14751380"}, {"ref": "karolinkorda/house-prices-advanced-regression-techniques-in-r", "kernel_id": "14278998"}, {"ref": "mohdsohelqureshi/house-sale-prediction-randomforest-regressor", "kernel_id": "14428047"}, {"ref": "napster01/ml-houseprice-predictions-xgboost", "kernel_id": "14110507"}, {"ref": "shubhamagrawal6241/notebook31e0050893", "kernel_id": "14901067"}, {"ref": "nilaykhare/house-price-prediction", "kernel_id": "14165044"}, {"ref": "nakkarintepin/home-price", "kernel_id": "14861429"}, {"ref": "michaelgeracie/top-15-house-prices-feature-engineering-and-eda", "kernel_id": "14351074"}, {"ref": "awwalmalhi/in-depth-eda-feature-engineering-and-selection", "kernel_id": "14584470"}, {"ref": "iamhdave/predicting-house-prices", "kernel_id": "14793192"}, {"ref": "ash112/house-price-eda-fe-regression-models", "kernel_id": "14646881"}, {"ref": "winternguyen/house-price-eda-model-prediction", "kernel_id": "14417318"}, {"ref": "eudossodicnido/house-prices-regression", "kernel_id": "14410333"}, {"ref": "elirettere/home-prices", "kernel_id": "14829691"}, {"ref": "meriamirkhanian/top-10-visualized-house-price-prediction", "kernel_id": "14575154"}, {"ref": "adamml/how-to-be-in-top-10-for-beginner", "kernel_id": "14886239"}, {"ref": "joolousada/house-prices-prediction", "kernel_id": "14449664"}, {"ref": "ryanchogan/notebookc09fd292ea", "kernel_id": "14829596"}, {"ref": "subhamsagarpaira/linear-regression-house-prices", "kernel_id": "14125921"}, {"ref": "anirudhchandnani/adaboost-v-s-xgboost-which-is-better-why", "kernel_id": "14730672"}, {"ref": "anirudhchandnani/ensemble-xgb-lgbm-rf-cv-hyper-tuning", "kernel_id": "14870294"}, {"ref": "riyasaini/advanced-house-prediction-using-xg-boost-with-cv", "kernel_id": "14169987"}, {"ref": "riyasaini/ensemble-xgb-lgbm-rf-cv-hyper-tuning", "kernel_id": "14889869"}, {"ref": "dataengel/house-prices-advanced-regression-techniques", "kernel_id": "14814633"}, {"ref": "markstent/house-prices-preprocessing-and-modelling", "kernel_id": "14473217"}, {"ref": "pandekp/house-price-prediction-analysis", "kernel_id": "14306299"}, {"ref": "nk0316/eda-on-housing-prices-dataset", "kernel_id": "14826445"}, {"ref": "pratiyushmishra/house-predictions-keras", "kernel_id": "14888963"}, {"ref": "dharrensanthalingam/house-work", "kernel_id": "14551383"}, {"ref": "vimarich/house-prices-onehotencoder-linear-regression", "kernel_id": "14375589"}, {"ref": "stevelau1015/comprehensive-data-exploration-with-python", "kernel_id": "14141378"}, {"ref": "jlandion/luckypassenger", "kernel_id": "14939844"}, {"ref": "sarthak218/house-prices-adaboostregressor", "kernel_id": "14331613"}, {"ref": "akarachaisaeteaw/house-prices-in-stack-and-voting", "kernel_id": "14323339"}, {"ref": "abdelrahmanmahana/overview-regression", "kernel_id": "14851562"}, {"ref": "abdelrahmanmahana/house-prices-prediction-using-rfr", "kernel_id": "14904327"}, {"ref": "danielnilsson/beginner-house-prices-regression-techniques", "kernel_id": "14282392"}, {"ref": "pythonkumar/bestsoln-fe-timetransform-easiest-explained-93-acc", "kernel_id": "14229773"}, {"ref": "michelleliao89/house-prices-predictions", "kernel_id": "14978049"}, {"ref": "shuiyaohuang/house-price-from-50-to-top-4", "kernel_id": "14133679"}, {"ref": "shuiyaohuang/house-price-i-comprehensive-eda", "kernel_id": "14047911"}, {"ref": "quantumthinking/preprocessed-data-with-r-house-prices-predicting", "kernel_id": "14930704"}, {"ref": "adityapr/notebook42921d132a", "kernel_id": "14328722"}, {"ref": "harkiratchauhan/mllab0607", "kernel_id": "14980300"}, {"ref": "julianjoseph/eda-and-some-ml-basics", "kernel_id": "14467470"}, {"ref": "mohammadrezasalemi/house-price-beginner", "kernel_id": "14267967"}, {"ref": "riyahedaoo/top10-usingr-houseprice", "kernel_id": "14640226"}, {"ref": "riyahedaoo/top13-house-predictions", "kernel_id": "14545938"}, {"ref": "korjmorj/featexp-and-stacking-regressor", "kernel_id": "14692174"}, {"ref": "josephchan524/housepricesregressor-using-lightgbm", "kernel_id": "14309250"}, {"ref": "luisbedia/hause-pricing", "kernel_id": "14269251"}, {"ref": "trytosnuff/house-prices-rus", "kernel_id": "14434387"}, {"ref": "vorobevaleksandr/house-prices-prediction", "kernel_id": "14535894"}, {"ref": "nanoneko/house-prices-1", "kernel_id": "14832989"}, {"ref": "sominathavhad21/house-prices-advanced-regression-techniques", "kernel_id": "14192357"}, {"ref": "kenjishioya/house-prices", "kernel_id": "14367414"}, {"ref": "hananxx/house-price-predication", "kernel_id": "14272465"}, {"ref": "imohtn/house-prices-rnm-eda-fe-modeling", "kernel_id": "14277081"}, {"ref": "modhiibrahimalmannaa/house-price-by-r-s-m-group", "kernel_id": "14203915"}, {"ref": "maramalsubaiei/house-prices-prediction", "kernel_id": "14271337"}, {"ref": "fahdahalalyan/advanced-regression-techniques-boston-housing", "kernel_id": "14271447"}, {"ref": "faridepc78/house-prices", "kernel_id": "14005582"}, {"ref": "yuankang731/house-price", "kernel_id": "14801495"}, {"ref": "yuankang731/house-price-s", "kernel_id": "14847328"}, {"ref": "abeeralzuhair2020/pricing-houses-challenge-dsi-group3", "kernel_id": "14273211"}, {"ref": "anmfahimfaisal/house-price-prediction", "kernel_id": "14262244"}, {"ref": "gabrieldelvalle/housing-prices-and-neighborhood-with-more-offers", "kernel_id": "14049684"}, {"ref": "petersuechting/houseprice-crossvalidation", "kernel_id": "14395461"}, {"ref": "petersuechting/cross-validation-and-penalized-regression-02052021", "kernel_id": "14698493"}, {"ref": "shannzhang/project-002-shan", "kernel_id": "14812656"}, {"ref": "shannzhang/project-001-shan", "kernel_id": "14461426"}, {"ref": "amyhaojieyang/project-002", "kernel_id": "14699261"}, {"ref": "amyhaojieyang/notebook9ddd3a7a5f", "kernel_id": "14395863"}, {"ref": "pengfeiqin/project-002", "kernel_id": "14808590"}, {"ref": "pengfeiqin/project-001", "kernel_id": "14507357"}, {"ref": "mattmccoy/ec524project001-2", "kernel_id": "14479098"}, {"ref": "mattmccoy/project002", "kernel_id": "14805186"}, {"ref": "mattmccoy/ec524-project000", "kernel_id": "14233765"}, {"ref": "devinbunch/project-002", "kernel_id": "14833356"}, {"ref": "devinbunch/project-001-new-and-improved", "kernel_id": "14973026"}, {"ref": "kaka66/project-002", "kernel_id": "14808512"}, {"ref": "kaka66/project001-2", "kernel_id": "14553296"}, {"ref": "bennjesser/project-001", "kernel_id": "14395431"}, {"ref": "bennjesser/project-002", "kernel_id": "14789888"}, {"ref": "yulingwu1/project002", "kernel_id": "14739631"}, {"ref": "yulingwu1/project-01", "kernel_id": "14395402"}, {"ref": "mingweixu/notebook7f4e3b3c08", "kernel_id": "14527521"}, {"ref": "zhichaoshan/project-002", "kernel_id": "14768881"}, {"ref": "zhichaoshan/project001", "kernel_id": "14395434"}, {"ref": "eander462/notebook10a75741d1", "kernel_id": "14790433"}, {"ref": "clairefield/project-002-1", "kernel_id": "14829319"}, {"ref": "clairefield/c-field-project-001", "kernel_id": "14454272"}, {"ref": "lisalindquist/notebook2fea98625f", "kernel_id": "14895039"}, {"ref": "lisalindquist/notebook3ea2fabe86", "kernel_id": "14477856"}, {"ref": "manuelarhenriques/houses", "kernel_id": "14864734"}, {"ref": "reemalruqi/house-price-regression", "kernel_id": "14274581"}, {"ref": "sarojkumarjha/notebook83185dffdf", "kernel_id": "14513782"}, {"ref": "karakrnacik/project-002-kk", "kernel_id": "14813287"}, {"ref": "karakrnacik/project-001", "kernel_id": "14434336"}, {"ref": "hunterpearson/notebookbdd8fa9551", "kernel_id": "14093701"}, {"ref": "hunterpearson/notebookc3d755e5c8", "kernel_id": "14811784"}, {"ref": "jonasbowman/project-002", "kernel_id": "14785114"}, {"ref": "jonasbowman/compsub2b", "kernel_id": "14459185"}, {"ref": "thomasschechter/assignment-0-winter-2021", "kernel_id": "14655135"}, {"ref": "thomasschechter/assignment-2-524", "kernel_id": "14829390"}, {"ref": "thomasschechter/assignment-1-524", "kernel_id": "14395426"}, {"ref": "kaushikkothiya/house-sale-pricing-prediction-analysis-and-model", "kernel_id": "14924290"}, {"ref": "narayanareddych/advanced-house-price-prediction", "kernel_id": "14159298"}, {"ref": "jeandersonbc/house-prices-bare-minimum-solution", "kernel_id": "14314152"}, {"ref": "hekkta/house-prices-ensemble", "kernel_id": "14245306"}, {"ref": "jodax10000/practice", "kernel_id": "14188037"}, {"ref": "lucianciobanu/kmads-sdbis-7-python", "kernel_id": "14204118"}, {"ref": "xenaliu1995/comprehensive-data-exploration-with-python", "kernel_id": "14639834"}, {"ref": "stephenreed/ec524-lecture-003", "kernel_id": "14381719"}, {"ref": "smitshah00/house-price-prediction-beginner", "kernel_id": "14276725"}, {"ref": "garylucn/top-9-house-price", "kernel_id": "14967722"}, {"ref": "tasneemabdulrahim/house-price-prediction", "kernel_id": "14539537"}, {"ref": "rahulkrishna2277/house-price-prediction-comparison-of-regression", "kernel_id": "14908747"}, {"ref": "paniclion/house-prices-advanced-regression-techniques", "kernel_id": "14540360"}, {"ref": "laurazhou/housing-price", "kernel_id": "14884596"}, {"ref": "apk1990/house-price-beginner-level", "kernel_id": "14639294"}, {"ref": "simonepanja/multilinear-regression-template", "kernel_id": "14451427"}, {"ref": "prithikaroy/multilinear-regression-template", "kernel_id": "14451397"}, {"ref": "snowy88666/multilinear-regression-template", "kernel_id": "14451440"}, {"ref": "mingweixu4/notebook400791e012", "kernel_id": "14812958"}, {"ref": "johntwen/house-pricing-analysis-model", "kernel_id": "14869812"}, {"ref": "johntwen/house-prices-predictions", "kernel_id": "14870564"}, {"ref": "johntwen/house-prices-data-cleaning-viz-and-modeling", "kernel_id": "14873981"}, {"ref": "nitanilla/predicci-n-de-precios-con-regresiones-lineales", "kernel_id": "14784521"}, {"ref": "evankurpiewski/notebook2787b8b4df", "kernel_id": "14829620"}, {"ref": "andrewmdavison/andrewdavisonhousingprices", "kernel_id": "14829679"}, {"ref": "joshuaedwards1/notebookd1efd095f9", "kernel_id": "14829559"}, {"ref": "mandybattaglia/notebook6880240023", "kernel_id": "14829895"}, {"ref": "ethancook/notebooke664f33cf2", "kernel_id": "14829625"}, {"ref": "hainguyenc/hainguyenhousingprices", "kernel_id": "14829668"}, {"ref": "jdsturdivant/jonathansturdivant", "kernel_id": "14829681"}, {"ref": "timothyreitz/housing-notebook", "kernel_id": "14829671"}, {"ref": "thedataperson/house-price-beginner-level", "kernel_id": "14888961"}, {"ref": "dmitrikurochkin/house-sales-randomforest", "kernel_id": "14942411"}, {"ref": "dmitrikurochkin/location-analysis-geo-data", "kernel_id": "14957224"}, {"ref": "mt77pp/mljar-automl-with-optuna-mode-house-prices", "kernel_id": "15637939"}, {"ref": "perotti/in-depth-eda-feature-engineering-and-selection", "kernel_id": "15159128"}, {"ref": "pursh2002/house-price-prediction", "kernel_id": "15305520"}, {"ref": "celniker/house-prices-lgbm-tuned-stacked-model-0-12", "kernel_id": "15358830"}, {"ref": "tanushreewandkar/eda-and-xgboost-model-building", "kernel_id": "15009531"}, {"ref": "kylegilde/importing", "kernel_id": "15265948"}, {"ref": "flachboard/house-prices-regression-by-csf", "kernel_id": "15181903"}, {"ref": "issactoast/elastic-net-tunning-with-tidymodels", "kernel_id": "15988443"}, {"ref": "issactoast/tuning-lasso-with-tidymodels", "kernel_id": "15755534"}, {"ref": "issactoast/lasso-with-tidymodels", "kernel_id": "15646780"}, {"ref": "issactoast/regression-baseline-with-tidymodels", "kernel_id": "15603966"}, {"ref": "sharatsachin/ames-house-prices-visualizations", "kernel_id": "15627631"}, {"ref": "sharatsachin/ames-house-prices-preprocessing-part-1", "kernel_id": "15626497"}, {"ref": "sharatsachin/ames-house-prices-preprocessing-part-2", "kernel_id": "15626589"}, {"ref": "dishha/housing-prices", "kernel_id": "15157500"}, {"ref": "muhammadhamzasabir/advance-analytics-for-house-price-prediction", "kernel_id": "15422231"}, {"ref": "woaiyong710/house-price-predict", "kernel_id": "15755728"}, {"ref": "shashwatwork/guide-to-normality-tests-in-python", "kernel_id": "15032557"}, {"ref": "aniketwattamwar/house-prices-data-understanding", "kernel_id": "15977007"}, {"ref": "priyanshminocha/linear-regression-ols-extensive-eda", "kernel_id": "15997458"}, {"ref": "dhawan123/house-price-predicton", "kernel_id": "15687866"}, {"ref": "shivam546/house-pricing-dataset", "kernel_id": "15513300"}, {"ref": "pmcgovern/house-prices-xgboost-python", "kernel_id": "15194036"}, {"ref": "pmcgovern/house-prices-xgboost-python-2", "kernel_id": "15347527"}, {"ref": "dileep3549/advanced-house-price-regression", "kernel_id": "15487239"}, {"ref": "justsong/house-price", "kernel_id": "15711579"}, {"ref": "lokesh8198/house-price-prediction", "kernel_id": "15122488"}, {"ref": "rasmus86/ramiro-roman-real-estate-sales-price-prediction", "kernel_id": "15093729"}, {"ref": "vithal2311/housing-price-xgboost-tuning", "kernel_id": "15618766"}, {"ref": "sinjoysaha/housing-prices-eda-handling-missing-cat-values", "kernel_id": "15088148"}, {"ref": "marcelolafeta/housing-prices-imt", "kernel_id": "15731431"}, {"ref": "rawan21/my-house-prices-nn", "kernel_id": "15676793"}, {"ref": "pirotecn1984/notebook4dc3f4f8d1", "kernel_id": "15388164"}, {"ref": "quinnc/housing-price-predictions", "kernel_id": "15245699"}, {"ref": "farhankhalifa/house-pricing-competition", "kernel_id": "15527839"}, {"ref": "aaguerrero/house-competition", "kernel_id": "15341627"}, {"ref": "leeyj0511/model-evaluation-1-classification-metrics", "kernel_id": "15147835"}, {"ref": "khotijahs1/house-prices-prediction-kolmogorov-smirnov-test", "kernel_id": "15109316"}, {"ref": "mohamedtaha7/housing-prices-prediction-using-different-models", "kernel_id": "15738179"}, {"ref": "subinium/all-about-vis-how-to-make-the-right-lineplot", "kernel_id": "15274501"}, {"ref": "skul210/linear-lasso-elastic-net-regression", "kernel_id": "15450293"}, {"ref": "serhatyzc/house-price-prediction-with-lightgbm", "kernel_id": "15492446"}, {"ref": "daaibraanies/csci567-regression-project", "kernel_id": "15121621"}, {"ref": "osama133/clustering-analysis", "kernel_id": "15163518"}, {"ref": "daikikatsuragawa/house-prices-regression-using-h2o-automl", "kernel_id": "15575412"}, {"ref": "daikikatsuragawa/house-prices-regression-using-autogluon", "kernel_id": "15575202"}, {"ref": "blueleebad/house-prices-advanced-regression-techniques", "kernel_id": "15583711"}, {"ref": "leonichel/house-prices", "kernel_id": "15796930"}, {"ref": "lmnath/mljar-automl-with-compete-mode-house-prices", "kernel_id": "15699576"}, {"ref": "lmnath/house-price-eda-and-features", "kernel_id": "15558259"}, {"ref": "anirudhg15/stackingregressor-pipelines-predict-house-price", "kernel_id": "15606879"}, {"ref": "pkmisra/advance-house-price-prediciton", "kernel_id": "15887716"}, {"ref": "athenalei/house-price-prediction", "kernel_id": "15092128"}, {"ref": "hassanrady/eda-feature-eng-modeling", "kernel_id": "15804304"}, {"ref": "rupanshuj/lr-gb-feature-selection-methods", "kernel_id": "15487966"}, {"ref": "catadanna/predict-house-prices-catboost", "kernel_id": "15135621"}, {"ref": "sihoum/house-prices-regression-techniques", "kernel_id": "15577560"}, {"ref": "siddharthpchauhan/house-price-prediction-kaggle", "kernel_id": "15250796"}, {"ref": "amritanigote/housepricing", "kernel_id": "15703223"}, {"ref": "alankaraevefmsu/mlda-gradboosting", "kernel_id": "15950316"}, {"ref": "spectren/diving-into-the-world-of-ds", "kernel_id": "15614615"}, {"ref": "agreek/housing-price-prediction-catboostregressor", "kernel_id": "15293187"}, {"ref": "aman7172/advance-house-price-prediction", "kernel_id": "15455205"}, {"ref": "aliffadli/house-prices", "kernel_id": "15052440"}, {"ref": "angaddhillon/angad-dhillon", "kernel_id": "15727805"}, {"ref": "mdzjosh/group15joshhong", "kernel_id": "15730308"}, {"ref": "vraizen/house-prices-advanced-regression-techniques", "kernel_id": "15481517"}, {"ref": "michaelbyrnes/inst414-hw4-kaggle", "kernel_id": "15727199"}, {"ref": "govindramanann/housing-price-prediction", "kernel_id": "15314455"}, {"ref": "jerinm/housing-prices-feature-engineering", "kernel_id": "15562605"}, {"ref": "kyhoam/regression-analysis-housing-price-prediction", "kernel_id": "15949578"}, {"ref": "faridsharaf/assignment-2", "kernel_id": "15704271"}, {"ref": "faridsharaf/assignment-1", "kernel_id": "15682518"}, {"ref": "akioonodera/house-prices-for-biginners-for-me", "kernel_id": "15546893"}, {"ref": "gbelleza/proyecto-machine-learning-fiee", "kernel_id": "15874077"}, {"ref": "iliassuvanov/linear-regression-house-price-prediction", "kernel_id": "15227715"}, {"ref": "nikitakudriashov/house-prices-solution", "kernel_id": "15679041"}, {"ref": "natalieselmer/inst414-groupblue", "kernel_id": "15393632"}, {"ref": "hamzaadnan/top-9-without-preprocessing-and-eda-catboost", "kernel_id": "15961817"}, {"ref": "pavantiwari/house-prediction-using-linear-and-svr", "kernel_id": "15137066"}, {"ref": "seb001/housing", "kernel_id": "15733589"}, {"ref": "melisoktay/data-analysis-with-ols-regression", "kernel_id": "15705104"}, {"ref": "moemenalaa97/assignment2", "kernel_id": "15723886"}, {"ref": "moemenalaa97/notebookfab2d100f2", "kernel_id": "15678338"}, {"ref": "zaganchan/lgbm-xfeat", "kernel_id": "15922220"}, {"ref": "bextuychiev/lasso-regression-with-pipelines-tutorial", "kernel_id": "15122598"}, {"ref": "samuelsferreira/house-prices-passo-a-passo-brazilian-portuguese", "kernel_id": "15459964"}, {"ref": "piotrcichacki/houseprices", "kernel_id": "15210547"}, {"ref": "gslime/regression-house-price", "kernel_id": "15932296"}, {"ref": "robinviltoriano/simple-house-prices-machine-learning", "kernel_id": "15850516"}, {"ref": "aishwarya2490/simple-model-for-beginners", "kernel_id": "15659123"}, {"ref": "abdelrahmanragab/prediction-house-price", "kernel_id": "15745991"}, {"ref": "satishgunjal/advanced-reg-techniques-linear-models-top-6", "kernel_id": "15628441"}, {"ref": "annazubareva/house-prices-prediction-regression-techniques", "kernel_id": "15057951"}, {"ref": "akashsdas/predict-house-prices-in-depth-eda", "kernel_id": "15128138"}, {"ref": "litonlu/house-prices-eda-to-ml-beginner", "kernel_id": "15826575"}, {"ref": "oluwadamilolaoduntan/housing-prices-advanced-regression", "kernel_id": "15709600"}, {"ref": "yhirakawa/13-and-rate-0-12259-with-xgbregressor", "kernel_id": "15205633"}, {"ref": "mohammedelhamamsy/numeric-only", "kernel_id": "15678261"}, {"ref": "xevator/notebook0b325e469a", "kernel_id": "15251870"}, {"ref": "igorkruglov/house-prices-prediction", "kernel_id": "15202724"}, {"ref": "mertylmaz/house-prices-with-ml-models-to-compare", "kernel_id": "15628783"}, {"ref": "adamyanayyar/hack-notebook-fork-and-upvote-for-best-score", "kernel_id": "15999330"}, {"ref": "abhijitsingh001/eda-model-evaluation-using-advance-techniques", "kernel_id": "15868195"}, {"ref": "nn9898/house-price-prediction", "kernel_id": "15646396"}, {"ref": "clajith/housepriceprediction-v1", "kernel_id": "15321725"}, {"ref": "clajith/housepriceprediction", "kernel_id": "15253765"}, {"ref": "tomasmontielprieto/keeping-it-simple-eda-lasso-model-rmse-0-126", "kernel_id": "15016973"}, {"ref": "aminghani/house-pricing-with-ensemble-and-automl-starter", "kernel_id": "15012579"}, {"ref": "abrahamoh/house-prices-adv-regressions-reg-d-rf-en-xg-lgbm", "kernel_id": "15461691"}, {"ref": "dicksonchng/tutorial-simple-regression-models", "kernel_id": "15727608"}, {"ref": "sagarsinha/remodelling-advanced-houses", "kernel_id": "15148215"}, {"ref": "ashnarajput/house-prices-eda-regression", "kernel_id": "15365294"}, {"ref": "modassirafzal/housing-top-3", "kernel_id": "15327744"}, {"ref": "anasalyan/house-prices-from-start-to-finish", "kernel_id": "15439308"}, {"ref": "bansalritu/linear-regression-1", "kernel_id": "15052112"}, {"ref": "weslatimarwen/feature-selection-based-on-pareto-law", "kernel_id": "15742185"}, {"ref": "luqmonafolabirasaq/lukmon-rasaq-kaggle-project", "kernel_id": "15211785"}, {"ref": "sifonsoul/madmo-18-03-21", "kernel_id": "15619837"}, {"ref": "santhoshstarlord/advanced-regression", "kernel_id": "15573982"}, {"ref": "luisgarchi/improved-house-regression", "kernel_id": "15402964"}, {"ref": "ryutaro0907/house-prices-prediction-with-xgboost", "kernel_id": "15120930"}, {"ref": "mywishisworldpeace/kaggle-eda", "kernel_id": "15684977"}, {"ref": "mywishisworldpeace/kaggle", "kernel_id": "15696523"}, {"ref": "mywishisworldpeace/kaggle-666-embedding-mlp", "kernel_id": "15757546"}, {"ref": "mywishisworldpeace/kaggle-mlp", "kernel_id": "15803696"}, {"ref": "mywishisworldpeace/kaggle-xgboost2", "kernel_id": "15807089"}, {"ref": "igor96/house-cost-prediction", "kernel_id": "15760573"}, {"ref": "radtkede/beginners-xgb-regression", "kernel_id": "15599195"}, {"ref": "madhuribadhe/ames-housing-prediction", "kernel_id": "15997054"}, {"ref": "omarswelam/house-prices-predictions", "kernel_id": "15683204"}, {"ref": "sarvesh1604/houseprices", "kernel_id": "15793121"}, {"ref": "joshuahampson/nandealing-logging-deskewing-xgboosting", "kernel_id": "15275216"}, {"ref": "hanseopark/house-prices-focusing-on-feature-on-going", "kernel_id": "15601878"}, {"ref": "afaundez/datable-non-a-nonse", "kernel_id": "15372118"}, {"ref": "heyshubhamkr/linear-regression-house-price-prediction", "kernel_id": "15017970"}, {"ref": "monicafeng/house-prices-prediction", "kernel_id": "15797390"}, {"ref": "rickypinaria/house-price-prediction-using-regression", "kernel_id": "15277549"}, {"ref": "ubiratanfilho/house-prices", "kernel_id": "15598378"}, {"ref": "anujyadav1/help-me-with-xgboost", "kernel_id": "15433052"}, {"ref": "anujyadav1/beginner-s-stop-xgb-pipeline", "kernel_id": "15626646"}, {"ref": "anujyadav1/beginner-s-stop-xgb", "kernel_id": "15498879"}, {"ref": "csponkoj/advance-house-price-prediction", "kernel_id": "15606766"}, {"ref": "jacksonkenyon/fork-of-inst414-homework4-0e957c", "kernel_id": "15754590"}, {"ref": "ideayahya/house-price-prediction", "kernel_id": "15558303"}, {"ref": "borislavnovikov1/house-price", "kernel_id": "15015101"}, {"ref": "keisukeota/japanese-gbdt-tutrial", "kernel_id": "15833899"}, {"ref": "trip2eee/house-price-prediction", "kernel_id": "15980589"}, {"ref": "wuchenhong/house-price-rf-method", "kernel_id": "15890825"}, {"ref": "qihanguan/top-8-elastic-net-ridge-random-forest-xgb", "kernel_id": "15841849"}, {"ref": "michaeltehc/housepricesml", "kernel_id": "15791075"}, {"ref": "irasemina/mlda-task1-semina", "kernel_id": "15837505"}, {"ref": "mownetharanaks/tpotregressor-houseprices", "kernel_id": "15985851"}, {"ref": "rishee/housing-xgb-reg", "kernel_id": "15322167"}, {"ref": "albertsaporta/house-prices-predictions", "kernel_id": "15974288"}, {"ref": "anu332/house-prices-regression-techniques-anurag", "kernel_id": "15976388"}, {"ref": "mengdeyu/writer-is-me", "kernel_id": "15208608"}, {"ref": "ankurlimbashia/house-price-prediction", "kernel_id": "15965231"}, {"ref": "pavfedotov/top-6-sklearn-stacked-regression-and-pipeline", "kernel_id": "15970566"}, {"ref": "annguyntrng/polynomial-regression-for-house-prices-prediction", "kernel_id": "15826275"}, {"ref": "aryanringshia/predict-house-prices-gradient-boosting", "kernel_id": "15555526"}, {"ref": "daiyuxuan/xgboost", "kernel_id": "15932778"}, {"ref": "daiyuxuan/ensemble-learning", "kernel_id": "15937928"}, {"ref": "daiyuxuan/ex1-house-price-predict", "kernel_id": "15843831"}, {"ref": "emorkrin/house-prices", "kernel_id": "15358853"}, {"ref": "ilyapozdnyakov/house-prices-prediction-pyspark-guide", "kernel_id": "15672290"}, {"ref": "rohitjagirdar/house-price", "kernel_id": "15626626"}, {"ref": "xxdatapiratexx/top-23-house-predictions-with-stacking-method", "kernel_id": "15039938"}, {"ref": "mattrhall/20220218-house-price-prediction-random-forrest", "kernel_id": "15917352"}, {"ref": "mohamedabdelghani/notebook23902333d4", "kernel_id": "15681678"}, {"ref": "gaetanlopez/how-to-make-clean-visualizations", "kernel_id": "15704037"}, {"ref": "xholisilemantshongo/modeling-house-prices-iii", "kernel_id": "15258646"}, {"ref": "xholisilemantshongo/modelling-houseprices-boosting-bagging", "kernel_id": "15316224"}, {"ref": "varunsimhareddy/house-prices-varun", "kernel_id": "15991530"}, {"ref": "shivamkalkar/housing-price-prediction-advanced-techniques", "kernel_id": "15073676"}, {"ref": "ankitkhedar/housing-pricing-for-beginners", "kernel_id": "15646946"}, {"ref": "ritikagoswamii/n221-ml-lab-6-7", "kernel_id": "15011997"}, {"ref": "sunidhikohli/linear-regression-house-price-prediction", "kernel_id": "15017326"}, {"ref": "ashishkumarbehera/house-prices-beginner", "kernel_id": "15084879"}, {"ref": "iuriierilov/become-top-10-without-cheating", "kernel_id": "15072487"}, {"ref": "muralisuryateja/housepriceprediction", "kernel_id": "15675398"}, {"ref": "dmitrymelikhov/house-prices-feature-analysis", "kernel_id": "15947523"}, {"ref": "snehaguha/house-price-prediction", "kernel_id": "15442591"}, {"ref": "bagusbpg/my-5th-notebook", "kernel_id": "15476969"}, {"ref": "tahaabdelwahab/how-to-write-the-first-kernel-as-expert", "kernel_id": "15457556"}, {"ref": "kapilposwal/house-price-xgboost", "kernel_id": "15187695"}, {"ref": "nanoneko/house-prices-ensemble-xgb-lgb-with-optuna", "kernel_id": "15667446"}, {"ref": "nanoneko/houseprices-eda-lgb-baseline", "kernel_id": "15667219"}, {"ref": "ibrahimrrz/house-prices-prediction", "kernel_id": "15303957"}, {"ref": "thrineshduvvuru/simple-house-price-prediction-xgboost-top-8", "kernel_id": "15851079"}, {"ref": "atultyagi2000/house-price-prediction", "kernel_id": "15881752"}, {"ref": "tharunnayak14/my-1st-linear-regression-competition", "kernel_id": "15617925"}, {"ref": "claramontoya/notebook-t9-house-prices-final", "kernel_id": "15692329"}, {"ref": "issych/notebook3e227733d3", "kernel_id": "15083871"}, {"ref": "pushpitkumar/house-price-prediction-using-xgboost", "kernel_id": "15714958"}, {"ref": "maryngembu/house-price-prediction", "kernel_id": "15158937"}, {"ref": "sergi0gs/house-prices", "kernel_id": "15023112"}, {"ref": "ninotomo/notebook-houseprices-lightgbm", "kernel_id": "15903255"}, {"ref": "rezameri/ensemble-learning-for-housing-market-predictions", "kernel_id": "15622257"}, {"ref": "mandalapususanthi/house-price-prediction-first-project", "kernel_id": "15814396"}, {"ref": "eduardakhmetshin/house-prices", "kernel_id": "15371007"}, {"ref": "fukibabasaki/my-notebook", "kernel_id": "15322820"}, {"ref": "raj5kumar5/house-price", "kernel_id": "15053372"}, {"ref": "mariannakaravangeli/house-prices-random-forest", "kernel_id": "15565069"}, {"ref": "vishnuravi99/different-models", "kernel_id": "15785096"}, {"ref": "alexliddle/home-sale-price", "kernel_id": "15952844"}, {"ref": "zddd1024/chongchongchong", "kernel_id": "15359305"}, {"ref": "imtiazkhan0417/house-sale", "kernel_id": "15630898"}, {"ref": "aidenfoster/house-sales", "kernel_id": "15134055"}, {"ref": "pramodsivakumar/house-price-prediction", "kernel_id": "15105389"}, {"ref": "rubenanccoperalta/grupo-03", "kernel_id": "15188587"}, {"ref": "ivyadmire/house-price-predict-python", "kernel_id": "15314229"}, {"ref": "maurissetmarielaure/house-prices-ml", "kernel_id": "15408660"}, {"ref": "chantalpandoupy/notebookd3e27b5bb9", "kernel_id": "15620655"}, {"ref": "miazheng777/house-prices-feature-engineering-and-prediction", "kernel_id": "15095013"}, {"ref": "karensmiths/house-prices-best-score", "kernel_id": "15163913"}, {"ref": "alonabasko/roc-n-recall-project-houseprices", "kernel_id": "15069209"}, {"ref": "dmitrikurochkin/house-sales-blending-models", "kernel_id": "15068866"}, {"ref": "dmitrikurochkin/house-sales-keras", "kernel_id": "15313559"}, {"ref": "nizdarlaila/house-prices-python", "kernel_id": "15426772"}, {"ref": "elaynejones/house-prediction", "kernel_id": "15161313"}, {"ref": "slipperyslopeer/housepricing001", "kernel_id": "15409245"}, {"ref": "minhnhat24/machine-learning", "kernel_id": "15102632"}, {"ref": "arghadeepsinha/house-sales-price-prediction-model-v1", "kernel_id": "15426851"}, {"ref": "antoreepjana/housing-prices-eda-preprocessing-modelling", "kernel_id": "15126382"}, {"ref": "animeshparikshya/finding-your-files-in-kaggle-kernels", "kernel_id": "15056015"}, {"ref": "animeshparikshya/house-sale-prediction-81-col-1-5k-data", "kernel_id": "15305717"}, {"ref": "eronneill/notebook99d9c5bfcd", "kernel_id": "15042573"}, {"ref": "mostafaahmedzaki/tmdb-movies-analysis", "kernel_id": "15969794"}, {"ref": "conorbrooks/housing-price-notebook", "kernel_id": "15682315"}, {"ref": "civiliansubbu/how-to-be-in-top-for-beginner", "kernel_id": "15122600"}, {"ref": "ranjithpanicker/house-price-prediction", "kernel_id": "15609361"}, {"ref": "isshikishun/notebook5b4c3d0d20", "kernel_id": "15763021"}, {"ref": "thuhnguyn/detailed-examination-for-house-price-top-10", "kernel_id": "15826790"}, {"ref": "taylanmerttonka/gridsearchcv-pipeline-xgboost-svc-tunning", "kernel_id": "15442720"}, {"ref": "mohammedsohailabrar/house-price-predictions-competition", "kernel_id": "15783076"}, {"ref": "maxlutz09/house-price-regression-eda-pipeline-top-8", "kernel_id": "15563265"}, {"ref": "misaelmo/stochasticresults-checkpoint1", "kernel_id": "15421907"}, {"ref": "tranluongbang/house-prices-advanced-regression-techniques", "kernel_id": "15677390"}, {"ref": "kaitlynvesterby/housing-price-notebook", "kernel_id": "15698364"}, {"ref": "olvaballiu/notebook5672a2d2b8", "kernel_id": "15710245"}, {"ref": "andrewmiyahara/inst414-homework4", "kernel_id": "15752749"}, {"ref": "nancyvaldebenito/houses-prices-regression-in-process", "kernel_id": "15985912"}, {"ref": "laurencubell/team-4-data-r-practice-notebook", "kernel_id": "15841180"}, {"ref": "ruhong/14-simple-tips-to-save-ram-memory-for-1-gb-dataset", "kernel_id": "16296962"}, {"ref": "perotti/using-pytorch-on-hpp", "kernel_id": "16696965"}, {"ref": "ccmien/simple-xgboost", "kernel_id": "16909550"}, {"ref": "skappal7/housing-price-regression-model-using-pycaret", "kernel_id": "16950586"}, {"ref": "fbykov/pytorch-practices", "kernel_id": "16948859"}, {"ref": "sreenivas134/house-price-regressor", "kernel_id": "16868967"}, {"ref": "zoupet/projet-dnn", "kernel_id": "16060389"}, {"ref": "toshimelonhead/home-price-prediction-top-8", "kernel_id": "16864919"}, {"ref": "mouli123/linear-regression", "kernel_id": "16900787"}, {"ref": "leaphys/stacked-regressions-top-4-on-leaderboard", "kernel_id": "16189328"}, {"ref": "domartinez992/fork-of-support-vector-machine-with-r", "kernel_id": "16942475"}, {"ref": "domartinez992/support-vector-machine-with-r", "kernel_id": "16680607"}, {"ref": "domartinez992/linearregressionmodelwithr", "kernel_id": "16505438"}, {"ref": "ianchute/predicting-house-prices-mca-svr-isotonic", "kernel_id": "16247836"}, {"ref": "rifz16/house-price-analysis", "kernel_id": "16302747"}, {"ref": "rifz16/house-price-prediction-competition", "kernel_id": "16110222"}, {"ref": "dollardan/linear-regression-house-price-prediction", "kernel_id": "16112445"}, {"ref": "laoxinyi/aidemy-housepricing-test", "kernel_id": "16314973"}, {"ref": "dolsemtl/housing-prices-using-ml", "kernel_id": "16428705"}, {"ref": "yanghan234/house-princing-with-naive-multilayer-perceptron", "kernel_id": "16373398"}, {"ref": "pr2tik1/house-prices-prediction", "kernel_id": "16342479"}, {"ref": "bhanupalagati/advanced-house-price-prediction-using-xgboost", "kernel_id": "16258184"}, {"ref": "xuexuexue1220/housing-prices", "kernel_id": "16509834"}, {"ref": "xuexuexue1220/v1-house-price-iris", "kernel_id": "16663888"}, {"ref": "sarahfdixon/house-prices-end-to-end", "kernel_id": "16990620"}, {"ref": "tustunkok/an-introductory-notebook-for-ml", "kernel_id": "16146707"}, {"ref": "marcelolafeta/housing-prices-pae-imt", "kernel_id": "16051879"}, {"ref": "jurk06/using-logistic-regression", "kernel_id": "16174705"}, {"ref": "nautiyalamit/gaafa-house-prices", "kernel_id": "16994111"}, {"ref": "lys620/skew-data-preprocessing", "kernel_id": "16655819"}, {"ref": "pratyush0harsh/house-price-logisticregression", "kernel_id": "16101677"}, {"ref": "aakasharora7/housing-data-descriptive-analysis-and-prediction", "kernel_id": "16302024"}, {"ref": "malusswolf/notebookd8f02b0e93", "kernel_id": "16761639"}, {"ref": "bilalmehar381/my-competition", "kernel_id": "16315713"}, {"ref": "akuei0419/house-prices-predice-self-20210413", "kernel_id": "16185565"}, {"ref": "akuei0419/housepricepredict02", "kernel_id": "16219702"}, {"ref": "ramiras/notebook9935f99cdf", "kernel_id": "16374726"}, {"ref": "naokiokada/house-prices-advanced-regression-techniques", "kernel_id": "16438872"}, {"ref": "gcdatkin/top-10-house-price-regression-competition-nb", "kernel_id": "16559430"}, {"ref": "daikikatsuragawa/house-prices-regression-using-pycaret", "kernel_id": "16016154"}, {"ref": "daikikatsuragawa/house-prices-regression-using-mljar", "kernel_id": "16066237"}, {"ref": "mohamedahmedae/house-prices-adcanced-regressor", "kernel_id": "16110593"}, {"ref": "punugoti/house-price-prediction-top-20", "kernel_id": "16950942"}, {"ref": "ofirmazor/simple-svr-prediction", "kernel_id": "16519818"}, {"ref": "travisergodic/boston-house-price-prediction-zero-to-hero", "kernel_id": "16122177"}, {"ref": "lykin22/house-price-prediction", "kernel_id": "16144026"}, {"ref": "gahvinicius/house-prices-prediction", "kernel_id": "16136583"}, {"ref": "varunvt1994/house-price-prediction-using-lasso-and-ridge", "kernel_id": "16023974"}, {"ref": "shaaguunzz/advanced-regressions-on-housing-dataset", "kernel_id": "16066810"}, {"ref": "samanemami/beginner-prediction-gradientboosting", "kernel_id": "16682697"}, {"ref": "deniswj/house-prices-data-processing-linear-regression", "kernel_id": "16094194"}, {"ref": "devsubhash/house-price-prediction-ml", "kernel_id": "16933451"}, {"ref": "gokulogi/house-price-advanced-regression", "kernel_id": "16048976"}, {"ref": "olelele/house-prices-regression", "kernel_id": "16015942"}, {"ref": "vipin20/house-prices-eda-feature-engineering", "kernel_id": "16900146"}, {"ref": "nayuts/r-guide-data-analysis-for-python-users", "kernel_id": "16361890"}, {"ref": "darynakozak/houseprices", "kernel_id": "16895013"}, {"ref": "maximknyazev/house-prediction-price-87", "kernel_id": "16014374"}, {"ref": "donboti/notebook9f2b5de8fc", "kernel_id": "16971347"}, {"ref": "vislupus/machine-learning-house-prices", "kernel_id": "16972143"}, {"ref": "ahmedsheded/house-prices", "kernel_id": "16071694"}, {"ref": "s19009/house-prices-advanced-regression-techniques", "kernel_id": "16149208"}, {"ref": "hayfordtetteh/beginner-house-price-prediction-reression", "kernel_id": "16912837"}, {"ref": "inzamamsafi/eda-housing-prediction", "kernel_id": "16572495"}, {"ref": "tomokikmogura/baseline", "kernel_id": "16067199"}, {"ref": "fengyaoluo/house-price-prediction-eda-feature-engineering", "kernel_id": "16048669"}, {"ref": "lirilkumaramal/eda-for-house-price-prediction", "kernel_id": "16590624"}, {"ref": "lirilkumaramal/top-11-house-price-prediction-with-elasticnetcv", "kernel_id": "16427568"}, {"ref": "yasserhessein/house-price-prediction-using-4-algorithms", "kernel_id": "16288820"}, {"ref": "yasserhessein/house-price-prediction-using-auto-sklearn", "kernel_id": "16326595"}, {"ref": "rinten/house-price", "kernel_id": "16263315"}, {"ref": "ahmed121ashraf131/linear-regression-from-scratch", "kernel_id": "16119919"}, {"ref": "karnatipavani/house-price-eda", "kernel_id": "16623239"}, {"ref": "feyzakarademir/house-price-prediction", "kernel_id": "16841555"}, {"ref": "auishikpyne/house-prices-prediction-top-10", "kernel_id": "16587382"}, {"ref": "atharvchaudhari/house-prices-advanced-regression-techniques-ahc", "kernel_id": "16915488"}, {"ref": "ayushirastogi15/house-priceprediction", "kernel_id": "16590112"}, {"ref": "krishnagupta1/advanced-house-price-prediction-final", "kernel_id": "16946495"}, {"ref": "tathagatachowdhury/housing-price-advanced-regression", "kernel_id": "16745067"}, {"ref": "youminkim/house-pricing-with-ensemble-and-xgboost", "kernel_id": "16341744"}, {"ref": "chromerai/house-price-prediction-simple-linear-model", "kernel_id": "16301974"}, {"ref": "blackhurt/begineer-appoach-using-gradientboostingregressor", "kernel_id": "16892584"}, {"ref": "raksh710/catboost-for-house-price-regression-raksh710", "kernel_id": "16920824"}, {"ref": "riderlord/eda-house-prices-advanced", "kernel_id": "16301483"}, {"ref": "daisy2020/house-prices-lgbm-tuned-model-0-12-top-15", "kernel_id": "16184703"}, {"ref": "problemsolverss/detailed-feature-by-feature-eda-for-beginners", "kernel_id": "16906035"}, {"ref": "christophergd/easy-outlier-detection-treatment-house-prices", "kernel_id": "16373151"}, {"ref": "threesheds/scaling-question", "kernel_id": "16442562"}, {"ref": "adamyanayyar/ensemble-model-for-house-price-prediction", "kernel_id": "16008334"}, {"ref": "kens3i/beginner-freindly-xgb-lgbm-regression", "kernel_id": "16243294"}, {"ref": "kirtichauhan11/eda-on-house-price-prediction", "kernel_id": "16969232"}, {"ref": "onurkaraguler/house-prices-top-23", "kernel_id": "16506311"}, {"ref": "muhammadammarjamshed/price-prediction", "kernel_id": "16728176"}, {"ref": "mohanraj77/notebook4f645282fb", "kernel_id": "16325026"}, {"ref": "mohanraj77/notebook97415f9de1", "kernel_id": "16484969"}, {"ref": "hxiaoxier/house-price-linear-regression-advancement", "kernel_id": "16512038"}, {"ref": "desalegngeb/plotly-guide-customize-for-better-visualizations", "kernel_id": "16074203"}, {"ref": "saachidholakia/house-price-predictions", "kernel_id": "16985946"}, {"ref": "vladekq/house-price-predictions", "kernel_id": "16447980"}, {"ref": "ashishcode/house-price-prediction-eda", "kernel_id": "16700201"}, {"ref": "arun2729/house-price-prediction-advance-regression", "kernel_id": "16047287"}, {"ref": "alihanurumov/han-model", "kernel_id": "16528167"}, {"ref": "poyiliu/top15-foundation-building-demo-for-beginners", "kernel_id": "16905983"}, {"ref": "harshkondkar/beginner-house-price-prediction", "kernel_id": "16725483"}, {"ref": "jamesd3142/house-price-calculation-methods-for-beginners", "kernel_id": "16773067"}, {"ref": "landreandrianiaina/notebookfinal", "kernel_id": "16631603"}, {"ref": "alaasedeeq/house-price-prediction-top-8", "kernel_id": "16381429"}, {"ref": "yukitroywilliams/optuna", "kernel_id": "16481437"}, {"ref": "amanalisiddiqui/how-to-be-in-top-10-for-beginner", "kernel_id": "16280578"}, {"ref": "bhanwarsaini/feature-engineering-for-house-prices", "kernel_id": "16647380"}, {"ref": "bhanwarsaini/feature-engineering-for-house-price-prediction", "kernel_id": "16622885"}, {"ref": "tylerturbenson/house-prices-advanced-regression-techniques", "kernel_id": "16230815"}, {"ref": "owendavidprice/house-price-regression-competition-entry", "kernel_id": "16111918"}, {"ref": "niteshranjansingh/house-price", "kernel_id": "16938570"}, {"ref": "shreeramgeedh/houses-in-random-forest", "kernel_id": "16744199"}, {"ref": "sasidharan25/houseprice", "kernel_id": "16930311"}, {"ref": "harishkay/noteboook-housing-hw8", "kernel_id": "16351009"}, {"ref": "thuranaing411/house-price-predict", "kernel_id": "16944133"}, {"ref": "danilorosmaninho/house-price-prediction-danilo", "kernel_id": "16706815"}, {"ref": "pavfedotov/no-data-leakage-stacked-regression", "kernel_id": "16360075"}, {"ref": "mohammadfikri/predict-house-price-with-rmse-0-107", "kernel_id": "16090258"}, {"ref": "gargkunal/housing-garg", "kernel_id": "16788786"}, {"ref": "ahmedeladly/h-price-visualization-and-regression-for-begieers", "kernel_id": "16313168"}, {"ref": "fatihseker/notebook758b8a544a", "kernel_id": "16452123"}, {"ref": "christopherthomias/housepredict-ct-score-97-275-rmse-6-46", "kernel_id": "16520499"}, {"ref": "shraddhajadhav111/house-price-prediction-notebook", "kernel_id": "16894882"}, {"ref": "mariah2020/house-price-prediction-using-python-with-rf", "kernel_id": "16496132"}, {"ref": "mariah2020/house-prices-solution", "kernel_id": "16495412"}, {"ref": "riyahedaoo/house-price-prediction-using-python-with-rf", "kernel_id": "16137146"}, {"ref": "samarthgupta39/house-price-prediction", "kernel_id": "16309089"}, {"ref": "renukasunilalai/house-prices-advanced-regression-techniques1", "kernel_id": "16304057"}, {"ref": "abdelmenamtarek/house-price-reg", "kernel_id": "16069980"}, {"ref": "heatherk/housing-prices-regression", "kernel_id": "16270840"}, {"ref": "sceimer/ml-h-prices", "kernel_id": "16642589"}, {"ref": "mithileshtiwari/house-price-prediction-r", "kernel_id": "16447609"}, {"ref": "kadiradanali/r-house-prices-predicts-rpart-randomforest", "kernel_id": "16074179"}, {"ref": "luannguyenthanh299/scikit-learn-model-selection-tuning-process", "kernel_id": "16392711"}, {"ref": "pedrohsr/impute-as-regression-scaling-onehot-xgboost", "kernel_id": "16591680"}, {"ref": "pedrohsr/using-automl-libraries", "kernel_id": "16743539"}, {"ref": "omarelbanaoui/house-prices", "kernel_id": "16151939"}, {"ref": "patelra2/house-prediction", "kernel_id": "16181680"}, {"ref": "arjunkataria/house-prices-advanced-regression-techniques", "kernel_id": "16855842"}, {"ref": "maxreis/eda-pandas-profiling-house-prices-advanced", "kernel_id": "16524817"}, {"ref": "arthuryule/house-prices-competition", "kernel_id": "16658185"}, {"ref": "ammaraahmad/price-prediction-modal-accuracy-96-9", "kernel_id": "16491112"}, {"ref": "lightion/different-platforms-different-results", "kernel_id": "16381003"}, {"ref": "chelseabrk/feature-engineering-for-house-prices", "kernel_id": "16570743"}, {"ref": "phawatmakhaphan/house-price-prediction", "kernel_id": "16442775"}, {"ref": "megumegu5656/notebooked08851082", "kernel_id": "16989383"}, {"ref": "traiansf/regressions", "kernel_id": "16345399"}, {"ref": "jigaroza/house-prices-complete-pipeline-feature-eng", "kernel_id": "16364247"}, {"ref": "mostafaahmedzaki/boston-houses-xgb", "kernel_id": "16111109"}, {"ref": "hectorsutre/projet1", "kernel_id": "16060783"}, {"ref": "yacinemokrane/groupe-sans", "kernel_id": "16349754"}, {"ref": "rostislavshikharev/house-prices-project", "kernel_id": "16727563"}, {"ref": "ouardasakram/house-prices-advanced-regression-begginer-approach", "kernel_id": "16296262"}, {"ref": "zhaohan4/house-price", "kernel_id": "16067305"}, {"ref": "jennifermhchiang/house-price", "kernel_id": "16868064"}, {"ref": "zhongyuwu/house-prices-advanced-regression-techniques", "kernel_id": "16711075"}, {"ref": "mdjohirulislam/the-easiest-way-for-beginners", "kernel_id": "16850994"}, {"ref": "akitohirata/notebookcba5066508", "kernel_id": "16951173"}, {"ref": "coderdata/notebookb0ebf74b3c", "kernel_id": "16522403"}, {"ref": "marcoeleno/house-prices-prediction-pyspark-guide", "kernel_id": "16897311"}, {"ref": "abhishekgaur186/notebook00a9652f10", "kernel_id": "16892904"}, {"ref": "markct/housing-price-prediction", "kernel_id": "16397934"}, {"ref": "enryono/note-hp-imt", "kernel_id": "16052416"}, {"ref": "movsisyanm/house-prices-xgboost", "kernel_id": "16353373"}, {"ref": "singhkaramvir/beginner-code-for-house-prediction", "kernel_id": "16970264"}, {"ref": "raidenxd/project-6-team-doesn-tmatter", "kernel_id": "16619344"}, {"ref": "tubasaday/house-prices-advanced-regression", "kernel_id": "16305480"}, {"ref": "alextung/project-6", "kernel_id": "16861541"}, {"ref": "soumya666/house-pricing", "kernel_id": "16149892"}, {"ref": "serpilsezer/notebook8f146550a1", "kernel_id": "16670472"}, {"ref": "benazzouzsofiane/notebook74fc78f330", "kernel_id": "16351062"}, {"ref": "pejito/4650-group-project-v2", "kernel_id": "16847001"}, {"ref": "meetbhalia/xgboost-with-get-dummies", "kernel_id": "16763009"}, {"ref": "rakeshshaw/housing-price-project", "kernel_id": "16436576"}, {"ref": "ryugamisono/saleprice-for-house", "kernel_id": "16187757"}, {"ref": "apel1151/houseprice", "kernel_id": "16136599"}, {"ref": "legago/gbregressor-score-0-12997", "kernel_id": "16173800"}, {"ref": "saumyadabas/house-prices-prediction", "kernel_id": "16428353"}, {"ref": "nishchalmittal/price-projection-with-4-algorithms", "kernel_id": "16806317"}, {"ref": "albertonavaa/first-attempt-at-house-prices-cmp-using-xgb-and-nn", "kernel_id": "16920633"}, {"ref": "mfk66666/housing-mfk", "kernel_id": "16600537"}, {"ref": "takashity/notebook25f609d67d", "kernel_id": "16260327"}, {"ref": "harshitpundir/housing", "kernel_id": "16691186"}, {"ref": "michaelrocchio/ridge-vs-linear-vs-lasso-vs-elastic-regression", "kernel_id": "16163106"}, {"ref": "ghutudps/housing-price-predictions", "kernel_id": "16152288"}, {"ref": "iamtapendu/housing-price-prediction-top-5", "kernel_id": "16617273"}, {"ref": "omkarpatil0217/house-price-op", "kernel_id": "16392313"}, {"ref": "mlevytskyi/house-prices-lasso-top-15", "kernel_id": "16629298"}, {"ref": "bryanhelsens/notebooke367960c9a", "kernel_id": "16585834"}, {"ref": "nazimzerrouki/data-science-house-regression", "kernel_id": "16864319"}, {"ref": "nazimzerrouki/house-price-advanced-regression-eda", "kernel_id": "16902414"}, {"ref": "dhairyadw/kaggle-house-prediction", "kernel_id": "16482943"}, {"ref": "fakemy0wndeath/ind-question", "kernel_id": "16580086"}, {"ref": "anmolsharma00002/house-price-prediction", "kernel_id": "16649354"}, {"ref": "myle0901/house-prices", "kernel_id": "16644285"}, {"ref": "ivannasamudinova/simple-features-selection", "kernel_id": "16614062"}, {"ref": "lucasssilva/feature-engineering-lucas-silva", "kernel_id": "16701262"}, {"ref": "aleksandraposka/notebooke-house-price", "kernel_id": "16550484"}, {"ref": "nohrud/xgb-regressor-lightgbm-etc-in-a-simple-way", "kernel_id": "16954961"}, {"ref": "harrypyke/harrypykemma867project", "kernel_id": "16705175"}, {"ref": "flashfire/house-price-prediction", "kernel_id": "16808303"}, {"ref": "sumitkumar161502/notebookc7a284bc63", "kernel_id": "16892899"}, {"ref": "koyukihatakeyama/submit-houseprice", "kernel_id": "16908355"}, {"ref": "mjiconic/final-submission", "kernel_id": "16823170"}, {"ref": "amoscalamida/notebook3eab1873d1", "kernel_id": "16815680"}, {"ref": "ayami470/house-submission", "kernel_id": "16965847"}, {"ref": "preetikuwar/welcome-to-data-science-in-r-workbook", "kernel_id": "16905168"}, {"ref": "preetikuwar/boston-house-pricing", "kernel_id": "16913144"}, {"ref": "kentohara/notebookbe3a16d9ce", "kernel_id": "16984743"}, {"ref": "kizzyterra/studying-with-house-prices-01-baseline-pt-br", "kernel_id": "17318441"}, {"ref": "kizzyterra/studying-w-house-prices-03-pipeline-e-cv-pt-br", "kernel_id": "17700399"}, {"ref": "kizzyterra/studying-with-house-prices-xgboost-pt-br", "kernel_id": "17521354"}, {"ref": "kizzyterra/studying-with-house-prices-02-eda-pt-br", "kernel_id": "17469924"}, {"ref": "kizzyterra/studying-w-house-prices-04-hyperparameters-pt-br", "kernel_id": "17901459"}, {"ref": "cathylren/feature-engineering-ideas-and-optuna", "kernel_id": "17241416"}, {"ref": "jorahn/jr-houseprices1-rfgb", "kernel_id": "17580328"}, {"ref": "carlosilva/house-price-model-prediction", "kernel_id": "17086729"}, {"ref": "vasilysafronov/stacked-regressions-top-4-on-leaderboard-vega", "kernel_id": "17054182"}, {"ref": "tusharchsingh/house-pricing-regression-with-custom-encoding", "kernel_id": "17766115"}, {"ref": "vrenganathan/eda-prediction-using-pycaret", "kernel_id": "17957174"}, {"ref": "sachinvy/top15-foundation-building-demo-for-beginners", "kernel_id": "17144818"}, {"ref": "clarice/house-prices-eda-training-validation", "kernel_id": "17481544"}, {"ref": "domartinez992/house-prices-regression-tree", "kernel_id": "17256798"}, {"ref": "siriusmhlee/house-prices-competition-xgboost-xgbregressor", "kernel_id": "17344702"}, {"ref": "siriusmhlee/house-prices-competition-stacking-and-blending", "kernel_id": "17957785"}, {"ref": "aayushkubba/house-price-prediction-complete-beginner-guide", "kernel_id": "17738218"}, {"ref": "aayushkubba/house-price-prediction", "kernel_id": "17738232"}, {"ref": "aayushkubba/house-pricing2", "kernel_id": "17869734"}, {"ref": "aayushkubba/house-price-prediction-beginner", "kernel_id": "17838671"}, {"ref": "rifz16/house-price-analysis-final", "kernel_id": "17078470"}, {"ref": "jacobwdym/simple-home-price-prediction", "kernel_id": "17093676"}, {"ref": "nihitpatel/house-price-prediction", "kernel_id": "17551384"}, {"ref": "rohankarthik/house-prices-2", "kernel_id": "17144936"}, {"ref": "pavelagurov/pva-house-prices", "kernel_id": "17763882"}, {"ref": "aikaggle1/house-price-prediction", "kernel_id": "17552553"}, {"ref": "mldlai/advanced-regression-atoz", "kernel_id": "17272041"}, {"ref": "anvesh1997/house-price-prediction", "kernel_id": "17718281"}, {"ref": "juandaniel/tarea-3", "kernel_id": "17047782"}, {"ref": "juandaniel/tarea-4", "kernel_id": "17174030"}, {"ref": "data13/predicting-house-prices-with-linear-regression", "kernel_id": "17146697"}, {"ref": "adityarajsinghvi/18bce1284-ml", "kernel_id": "17481645"}, {"ref": "banashreebs/housesprediction", "kernel_id": "17505983"}, {"ref": "dudangel/notebook2bf3a831c5", "kernel_id": "17613175"}, {"ref": "tjbayeks/house-price-prediction-on-boston-dataset", "kernel_id": "17619600"}, {"ref": "stpeteishii/house-price-advanced-lgbm-visualize-importance", "kernel_id": "17503601"}, {"ref": "sushakanaujia/house-prices", "kernel_id": "17067428"}, {"ref": "prithivi7/house-price-prediction-adv-regression-techniques", "kernel_id": "17221361"}, {"ref": "shahf11/house-prices", "kernel_id": "17854809"}, {"ref": "agarwalsourabh55/house-prediction-kaggle", "kernel_id": "17025972"}, {"ref": "phanttan/xgboost-regression-randomizedsearchcv", "kernel_id": "17650577"}, {"ref": "nibinv23/house-pricesing-v1", "kernel_id": "17641955"}, {"ref": "dezember/mikheev", "kernel_id": "17329015"}, {"ref": "boss0ayush/simple-effective-top40", "kernel_id": "17523724"}, {"ref": "dileepsahu/house-price-predication-advanced", "kernel_id": "17149146"}, {"ref": "niladri54/house-price-prediction-advance", "kernel_id": "17134360"}, {"ref": "mantena2377/house-price-prediction-advanced-regression", "kernel_id": "17851048"}, {"ref": "rupshakr/regression-models-for-house-price-prediction", "kernel_id": "17261741"}, {"ref": "focusedmonk/house-price-elaborate-eda-regression-rmse-0-1454", "kernel_id": "17252458"}, {"ref": "mkutlu/house-price-prediction-konut-sat-fiyat-tahmini", "kernel_id": "17959115"}, {"ref": "yunusakkaya/house-prices-submission", "kernel_id": "17909415"}, {"ref": "himanshupadhiar/house-price-prediction-wip", "kernel_id": "17862473"}, {"ref": "harshsharma511/one-stop-easy-understanding-eda-model-catboost", "kernel_id": "17188995"}, {"ref": "xiyoumocao/house-prices", "kernel_id": "17310323"}, {"ref": "prudhvinagula/top17-house-price-prediction-rmse-0-12460", "kernel_id": "17905515"}, {"ref": "the0electronic0guy/housing-prices-xgboost-top-11", "kernel_id": "17184018"}, {"ref": "vishnukanan/notebook1e258182ae", "kernel_id": "17866946"}, {"ref": "emrearuk/xgboost-house-price-forecasting", "kernel_id": "17982906"}, {"ref": "kiseokyang/voting-with-tree-based-models", "kernel_id": "17886796"}, {"ref": "carlmcbrideellis/what-is-adversarial-validation", "kernel_id": "17991285"}, {"ref": "sandeepmandrawadkar/house-prices", "kernel_id": "17244025"}, {"ref": "matteoturla/advanced-regression", "kernel_id": "17186166"}, {"ref": "akshatverma12/house-prices-regression-tree", "kernel_id": "17312451"}, {"ref": "zoubrator/house-prices-analysis-score-0-1266-with-catboost", "kernel_id": "17556638"}, {"ref": "houcembenmansour/house-price-prediction", "kernel_id": "17897260"}, {"ref": "kumarsand/house-price-prediction-advance-regression", "kernel_id": "17814677"}, {"ref": "krishnarj/house-price-predictions-xgb-jun8", "kernel_id": "17517358"}, {"ref": "nisarg3patel/house-price", "kernel_id": "17315499"}, {"ref": "josepharcila/house-prices", "kernel_id": "17568896"}, {"ref": "krishnagupta1/advanced-house-price-prediction-eda", "kernel_id": "17063358"}, {"ref": "kleberdesouzamoreira/studing-price-houses", "kernel_id": "17901279"}, {"ref": "wouldyoujustfocus/impact-of-data-anomalies-on-svm-and-fnn", "kernel_id": "17692321"}, {"ref": "ehabibrahim758/houses-prices", "kernel_id": "17383890"}, {"ref": "blackhurt/be-in-top-13-with-10-lines-of-code", "kernel_id": "17033964"}, {"ref": "blackhurt/solving-by-dividing-into-categorical-regression", "kernel_id": "17190524"}, {"ref": "blackhurt/be-in-top-13-with-15-lines-of-code", "kernel_id": "17347894"}, {"ref": "blackhurt/my-approach-to-be-in-top-13", "kernel_id": "17391062"}, {"ref": "debarshichanda/handling-missing-values", "kernel_id": "17167653"}, {"ref": "ioannistr/house-prices-prediction-in-iowa-top-10", "kernel_id": "17472784"}, {"ref": "litonlu/tutorial-k-fold-cross-validation", "kernel_id": "17137626"}, {"ref": "nitinkhandagale/house-prediction-regression-model", "kernel_id": "17983514"}, {"ref": "abrahamanderson/house-price-competition-advanced-regression", "kernel_id": "17419037"}, {"ref": "divyagiridaran/predicting-house-prices", "kernel_id": "17933011"}, {"ref": "thibaultroussel/notebook-p8-tr", "kernel_id": "17912750"}, {"ref": "thibaultroussel/notebook-p8", "kernel_id": "17853001"}, {"ref": "problemsolverss/detailed-eda-feature-by-feature-and-lasso", "kernel_id": "17060477"}, {"ref": "yhirakawa/feature-engineering-for-house-prices", "kernel_id": "17007033"}, {"ref": "minje0611/minje0611-house", "kernel_id": "17979897"}, {"ref": "pawanbhakuni/housepricepredict", "kernel_id": "17881244"}, {"ref": "akhil14shukla/housing-price-prediction-advanced-regreession", "kernel_id": "17617849"}, {"ref": "nitinchoudhary012/house-price-prediction-advanced-regression", "kernel_id": "17471134"}, {"ref": "bakar31/eda-house-price-prediction", "kernel_id": "17547809"}, {"ref": "christianroman/houses-prices-prediction-lasso-gbr-xgboost-rf", "kernel_id": "17920329"}, {"ref": "aryaadesh/housingpricepred", "kernel_id": "17147152"}, {"ref": "kdgmiler/boston", "kernel_id": "17685907"}, {"ref": "vatsalbajaj/price-prediction-using-gradient-booster-regressor", "kernel_id": "17113363"}, {"ref": "rendyk/automl-regression-part2", "kernel_id": "17652149"}, {"ref": "rendyk/regression-rmse-house-prices", "kernel_id": "17326881"}, {"ref": "anshankul/feature-selection-feature-engineering-techniques", "kernel_id": "17620861"}, {"ref": "mdrakibuzzaman/houseprice347", "kernel_id": "17863866"}, {"ref": "eugenehu/housing-price-using-elasticnetcv-and-mutual-info", "kernel_id": "17150247"}, {"ref": "risenattarach/complete-beginners-guide-to-pycaret", "kernel_id": "17282400"}, {"ref": "shantanusoni/notebookd507db05ff", "kernel_id": "17422000"}, {"ref": "rahulsingla5209/house-prices-competition", "kernel_id": "17308474"}, {"ref": "anoopashware/house-prices-advanced-regression-techniques", "kernel_id": "17984961"}, {"ref": "desalegngeb/bokeh-visualization-library-guide-for-beginners", "kernel_id": "17038587"}, {"ref": "mosab98walid/new-sheet", "kernel_id": "17656166"}, {"ref": "denniswidjaja/house-price", "kernel_id": "17488179"}, {"ref": "kiranjeetkaur/house-prices", "kernel_id": "17249007"}, {"ref": "manonyg/working-with-a-reduced-dataset-may-improve-results", "kernel_id": "17886279"}, {"ref": "saakethjasti/beginner-look-at-house-price-regression", "kernel_id": "17433890"}, {"ref": "dinhkhactuananh/house-price-final-project", "kernel_id": "17480270"}, {"ref": "amansingh0001/housing-price-prediction", "kernel_id": "17724037"}, {"ref": "ilhamfikriansyah/house-prices-advanced-regression-techniques", "kernel_id": "17859836"}, {"ref": "vivekpat/notebookebcf07460c", "kernel_id": "17060578"}, {"ref": "umangtank/house-prices-advanced-regression-techniques", "kernel_id": "17772056"}, {"ref": "seymagoksel/random-forest-from-scratch", "kernel_id": "17170562"}, {"ref": "shoumanbaruashuvo/house-price-prediction", "kernel_id": "17917595"}, {"ref": "hynsh96/house-prices", "kernel_id": "17259393"}, {"ref": "lihongtang/house-prices-eda-and-boosting", "kernel_id": "17003843"}, {"ref": "cathy64/seaborn-tutorial-for-beginner", "kernel_id": "17734199"}, {"ref": "jorgeduartejr/house-prices", "kernel_id": "17765935"}, {"ref": "alkaryadav/house-price", "kernel_id": "17954464"}, {"ref": "niteshranjansingh/beginners-house-price", "kernel_id": "17021007"}, {"ref": "niteshranjansingh/eda-in-3-lines-of-code-pywedge-pandas-profiling", "kernel_id": "17297063"}, {"ref": "alekseyromanovich/house-price-prediction", "kernel_id": "17666314"}, {"ref": "harshhzz/exercise-xgboost", "kernel_id": "17652057"}, {"ref": "lordxerxes/house", "kernel_id": "17865471"}, {"ref": "suyashlakhani/house-price-advanced-regression-easy-solution", "kernel_id": "17624968"}, {"ref": "saimaaakhan/housepriceprediction", "kernel_id": "17910451"}, {"ref": "miraculusik/predicting-house-prices-eda-model", "kernel_id": "17790044"}, {"ref": "parvezsohail/house-price-prediction-accuracy-90", "kernel_id": "17854278"}, {"ref": "parvezsohail/house-price-prediction-cat-boost", "kernel_id": "17911073"}, {"ref": "dylantavares/house-prices-simplon-competition-2", "kernel_id": "17965448"}, {"ref": "juliecharrier/house-prices-competition", "kernel_id": "17624752"}, {"ref": "jagritej/house-prices-advanced-regression-techniques", "kernel_id": "17907785"}, {"ref": "ashleypaloalto2020/eda-and-simple-linear-regression-for-house-price", "kernel_id": "17995003"}, {"ref": "ikarosalpha/house-prices", "kernel_id": "17372421"}, {"ref": "thasnihakeem/data-visualization-of-house-price-prediction", "kernel_id": "17789454"}, {"ref": "thasnihakeem/house-price-prediction-using-randomforestclassifi", "kernel_id": "17818768"}, {"ref": "thasnihakeem/house-prize-prediction-using-logisticregression", "kernel_id": "17822824"}, {"ref": "guldenizcanatan/house-price-feature-engineering-ensemble", "kernel_id": "17490341"}, {"ref": "opkaggle123/house-prices-advanced-regression-techniques", "kernel_id": "17984031"}, {"ref": "mohamedbakrey/eda-house-prices-advanced-regression-techniques", "kernel_id": "17795072"}, {"ref": "mamta1004/house-part-eda-regression", "kernel_id": "17111337"}, {"ref": "ahmedmohameddawoud/house-price-prediction-complete-beginner-guide", "kernel_id": "17314101"}, {"ref": "jaysrivastav/xgb-gpu-with-optuna-and-kfold-house-price-predict", "kernel_id": "17682662"}, {"ref": "shama123/house-price-advanced-regression-techniques", "kernel_id": "17241685"}, {"ref": "manibharathi95/2-california-housing-price-prediction", "kernel_id": "17930846"}, {"ref": "nimajehan/linear-regression-house-price-prediction", "kernel_id": "17103764"}, {"ref": "alwaysddr/house-price-prediction-with-msle-of-0-17011", "kernel_id": "17157911"}, {"ref": "purvitsharma/advanced-regression-model-stacking", "kernel_id": "17657512"}, {"ref": "santosh1974/house-price-first", "kernel_id": "17406293"}, {"ref": "pandanup/california-house-price-prediction-rf-and-xgboost", "kernel_id": "17164688"}, {"ref": "ihazun01/r-beginner", "kernel_id": "17459998"}, {"ref": "indranidhanisetty/housing-project", "kernel_id": "17384510"}, {"ref": "anshalsingh/house-prices-regression", "kernel_id": "17049773"}, {"ref": "manikgarg16/advancedhousepricepred", "kernel_id": "17187438"}, {"ref": "gonzalozabalagarca/20k-rmse-with-only-10-variables", "kernel_id": "17881845"}, {"ref": "animeshrockn/neural-net-regressor-attempt-2", "kernel_id": "17204304"}, {"ref": "animeshrockn/g-boosting-submission-with-feature-engineering", "kernel_id": "17159796"}, {"ref": "animeshrockn/ensembler-model-with-xgb-and-nn", "kernel_id": "17383916"}, {"ref": "animeshrockn/xg-boost-regression-step-by-step", "kernel_id": "17278188"}, {"ref": "animeshrockn/decision-tree-regressor", "kernel_id": "17244557"}, {"ref": "bgrimaldos/house-prices-regression-tree", "kernel_id": "17149810"}, {"ref": "danielamesapinilla/linearregressionproyecto", "kernel_id": "17001194"}, {"ref": "diyadodwad/notebook76d792a543", "kernel_id": "17107658"}, {"ref": "diyadodwad/notebook4369b83a61", "kernel_id": "17223995"}, {"ref": "bluewzq/201841792003", "kernel_id": "17873200"}, {"ref": "jatinpratap/house-pricing", "kernel_id": "17166864"}, {"ref": "mdemran312/housepricepredictionmodel", "kernel_id": "17934973"}, {"ref": "sachingupta2212/notebook3f3869e97c", "kernel_id": "17304270"}, {"ref": "mhnaeem/house-price", "kernel_id": "17869597"}, {"ref": "mishraudit/predicting-house-prices", "kernel_id": "17865548"}, {"ref": "pashase/eda-data-preparation-fe-stacking-model-top-5", "kernel_id": "17311610"}, {"ref": "prabhatm0307/house-pricing-prediction", "kernel_id": "17723739"}, {"ref": "kanishkaadhikari/housing", "kernel_id": "17899632"}, {"ref": "hsiangting/notebook8d1c590fac", "kernel_id": "17421615"}, {"ref": "zarhkoh/notebookafa06fca5b", "kernel_id": "17783001"}, {"ref": "adrienwargnier/notebook-house-prices-groupe-bebes-pangolins", "kernel_id": "17783797"}, {"ref": "marwabenfyala/notebookb44c64e682", "kernel_id": "17783740"}, {"ref": "nicojv/regression-svm-rf-gb-and-ensembling", "kernel_id": "17432341"}, {"ref": "hasnurjahan181352297/house-price-prediction", "kernel_id": "17862440"}, {"ref": "mdjohirulislam/house-price-prediction-for-competition", "kernel_id": "17444517"}, {"ref": "nooory/house-price-nooory001", "kernel_id": "17127387"}, {"ref": "chiru12/house-price-advance-regression-cj", "kernel_id": "17086257"}, {"ref": "murarkarharsh/house-prices", "kernel_id": "17753397"}, {"ref": "taylanmerttonka/recursive-feature-elimination-hyper-tuning-svr", "kernel_id": "17095369"}, {"ref": "alampalsingh/house-prices-catboost", "kernel_id": "17551262"}, {"ref": "agnirajsenathipathi/house-prices-regression-model", "kernel_id": "17960389"}, {"ref": "muhammadimran112233/a-regression-tutorial-for-beginners", "kernel_id": "17055397"}, {"ref": "luizlana/notebook4e5842605a", "kernel_id": "17523095"}, {"ref": "sezinnurerten/notebookddbebeeb02", "kernel_id": "17892287"}, {"ref": "mysarahmadbhat/types-of-transformations-for-better-distribution", "kernel_id": "17423661"}, {"ref": "ganeshs1307/house-price-all-algorithms", "kernel_id": "17324362"}, {"ref": "saurabhbudhwani/house-price-estimation", "kernel_id": "17056753"}, {"ref": "mdazharulislam/housepricemodelprediction", "kernel_id": "17870427"}, {"ref": "arpitadaschaity/housepriceprediction2327", "kernel_id": "17918269"}, {"ref": "konstantinsuloevjr/averaging-models-and-hyperopt-tuning", "kernel_id": "17112732"}, {"ref": "sumaiya66/housepriceprediction-sumaiya", "kernel_id": "17910679"}, {"ref": "mimrahman/housepriceprediction-2292", "kernel_id": "17917596"}, {"ref": "rakhi181352416/house-price-prediction-by-rakhi", "kernel_id": "17862811"}, {"ref": "victorragazzi/house-prefirst", "kernel_id": "17859886"}, {"ref": "isaortya/feature-engineering-and-xgboost-for-house-prices", "kernel_id": "17494934"}, {"ref": "takeshun4418/01-houseprice", "kernel_id": "17805727"}, {"ref": "jzeferino/house-pricing-catboost-vs-xgboost-vs-lightgbm", "kernel_id": "17765579"}, {"ref": "pranjal6192/notebookf1418005ef", "kernel_id": "17722131"}, {"ref": "nazimzerrouki/data-science-house-regression-final", "kernel_id": "17367405"}, {"ref": "mukutsharma/house-prediction-advanced", "kernel_id": "17897603"}, {"ref": "zhuhaoqi/lr-model-for-prediction", "kernel_id": "17223140"}, {"ref": "denimthangjam/house-prices-2", "kernel_id": "17318704"}, {"ref": "jrpark3797/house-prices-titanic-automl", "kernel_id": "17058230"}, {"ref": "itsmanas/house-price-prediction", "kernel_id": "17994907"}, {"ref": "maxiaoxue/201841789maxiaoxue-2", "kernel_id": "17417078"}, {"ref": "shige0406/notebooka99967efbb", "kernel_id": "17579988"}, {"ref": "onlibra/notebook95cb0a6e0a", "kernel_id": "17628390"}, {"ref": "xylkuode/notebook52f5b6af0b", "kernel_id": "17629331"}, {"ref": "wrongplanet/notebook6afdc9d80a", "kernel_id": "17628709"}, {"ref": "luoyexintong/notebook0bc39af21c", "kernel_id": "17628970"}, {"ref": "jiushizhichou/notebook7ae9b172db", "kernel_id": "17627556"}, {"ref": "ezgituna/house-pricing", "kernel_id": "17534911"}, {"ref": "wangqianqianqq/notebooke132a5d085", "kernel_id": "17417191"}, {"ref": "jinjiaanqiang/house-prise-vary", "kernel_id": "17414304"}, {"ref": "guojiaping/notebook48c8a1552f", "kernel_id": "17582530"}, {"ref": "akp9999/house-pricing2", "kernel_id": "17856100"}, {"ref": "leejunyup/notebook13c4bd2157", "kernel_id": "17684688"}, {"ref": "illiyakhitruk/housepriceslab-5-1", "kernel_id": "17398233"}, {"ref": "murtaza53/eda-regression", "kernel_id": "17916328"}, {"ref": "zhaohaozhang/notebook82b8c0a52b", "kernel_id": "17466612"}, {"ref": "shubhamagrawal999/ames-house-price-prediction1", "kernel_id": "17848918"}, {"ref": "zhaosonglei/house-prices", "kernel_id": "17485719"}, {"ref": "yyx0208/notebooke6bda2f97d", "kernel_id": "17873315"}, {"ref": "hekai12111/notebookad0e89f166", "kernel_id": "17481151"}, {"ref": "riokanaizumi/notebook8aa68c018a", "kernel_id": "17155349"}, {"ref": "leehy305/notebookc0cfbcffb0", "kernel_id": "17448284"}, {"ref": "closednotice/house-price-prediction-using-automl-0-12220", "kernel_id": "17929661"}, {"ref": "silentkongpanda/notebookab605f90c1", "kernel_id": "17461510"}, {"ref": "yujinyee/notebooke7b31034e1", "kernel_id": "17768417"}, {"ref": "ankitthebemer/house-price-catboost", "kernel_id": "17920274"}, {"ref": "navlikasingh/house-prices-advanced-regression-techniques", "kernel_id": "17754313"}, {"ref": "niharshah1567/basic-model-for-house-prices", "kernel_id": "17464066"}, {"ref": "artemburenok/house-price-with-kmeansimputer-xgboost", "kernel_id": "17909917"}, {"ref": "gsslim/feature-engineering-for-house-price-v3-top-6", "kernel_id": "17036671"}, {"ref": "kentohara/notebook0e262063fc", "kernel_id": "17269528"}, {"ref": "shivam017arora/multivariate-analysis-regression-in-a-nutshell", "kernel_id": "17244479"}, {"ref": "ilaydarslan/house-prices", "kernel_id": "17511421"}, {"ref": "zzzdddd/notebook919b37a273", "kernel_id": "17585319"}, {"ref": "xiemingmingyyde/notebook27ed553f9e", "kernel_id": "17585479"}, {"ref": "hongzhaozhi/notebookc8444fb4f1", "kernel_id": "17466344"}, {"ref": "zhaoxindebaobei/jiqixuexi", "kernel_id": "17582760"}, {"ref": "weiqianyyds/notebook0f62de0f75", "kernel_id": "17583953"}, {"ref": "gengyyds/notebook909998570b", "kernel_id": "17585733"}, {"ref": "anpeng0/notebookc7560e86bf", "kernel_id": "17465520"}, {"ref": "z1455876282/201841759", "kernel_id": "17873274"}, {"ref": "twomegabyte/houseprice", "kernel_id": "17479976"}, {"ref": "yangxiaoa/notebookc943d4718d", "kernel_id": "17469144"}, {"ref": "chenchenchenchenq/notebook6d2059a7c4", "kernel_id": "17470897"}, {"ref": "houninga/notebook345d780476", "kernel_id": "17466316"}, {"ref": "liusansansansan/notebook286471fe42", "kernel_id": "17874293"}, {"ref": "feisisb/notebook7b062fad12", "kernel_id": "17874735"}, {"ref": "qqqwo139wml/notebook011fe5e6e1", "kernel_id": "17875020"}, {"ref": "xujiaweia/housing-price-prediction", "kernel_id": "17570126"}, {"ref": "goushi/house", "kernel_id": "17490132"}, {"ref": "liangzhentong/lllll", "kernel_id": "17518040"}, {"ref": "wushuo123/xiangmu", "kernel_id": "17517443"}, {"ref": "weiqiang123/house-price-calculation-methods-for-beginners", "kernel_id": "17578563"}, {"ref": "joshi12/house-price-advanced-regression-techniques", "kernel_id": "17960783"}, {"ref": "marvengers/housing-price-model-4", "kernel_id": "17872109"}, {"ref": "marvengers/housing-price-model-1", "kernel_id": "17860194"}, {"ref": "ccccccm/xgboost", "kernel_id": "17239962"}, {"ref": "meiyunpeng/houseprice", "kernel_id": "17418579"}, {"ref": "masamichitoyama/house-price", "kernel_id": "17931990"}, {"ref": "cobra3279/20210611-v1", "kernel_id": "17649228"}, {"ref": "cobra3279/machine-learning-lesson-in-ncu-for-ui", "kernel_id": "17782250"}, {"ref": "abhishekyawalkar/house-price-prediction-cat-boost-score-0-1300", "kernel_id": "17984525"}, {"ref": "jhoelterrel/machine-learning-prueba", "kernel_id": "17647888"}, {"ref": "avisekhkumarsingh/housepriceprediction", "kernel_id": "17578329"}, {"ref": "gdepaz/notebook-entrenamiento-1", "kernel_id": "17651306"}, {"ref": "pedrovilca/notebook-entrenamiento-4", "kernel_id": "17647884"}, {"ref": "luisparedes07/notebook-entrenamiento-1", "kernel_id": "17647899"}, {"ref": "melissamaravi/notebook-entrenamiento-examen", "kernel_id": "17647892"}, {"ref": "maricab95/exercise-machine-learning-competitions", "kernel_id": "17534046"}, {"ref": "alfredozeavalenzuela/notebook-entrenamiento-1", "kernel_id": "17647891"}, {"ref": "stevencastillo35/notebook-entrenamiento-steven-castillo", "kernel_id": "17647898"}, {"ref": "yashrajpal18bce1253/housing-price-predictions", "kernel_id": "17481127"}, {"ref": "yashrajpal18bce1253/18bce1253-house-predictions", "kernel_id": "17481802"}, {"ref": "garyyehyl/house-prices-xgboost-old", "kernel_id": "17710028"}, {"ref": "kmishmael/house-prices", "kernel_id": "17552712"}, {"ref": "kmishmael/house-prices-v2", "kernel_id": "17757037"}, {"ref": "ronyzamora/notebook-entrenamiento-20210610", "kernel_id": "17647886"}, {"ref": "josejara/notebook-entrenamiento-1", "kernel_id": "17647901"}, {"ref": "yugalkishore/housing-price-predictions", "kernel_id": "17960849"}, {"ref": "domeniquebenjamin/fork-of-first-post", "kernel_id": "17935135"}, {"ref": "munshirc/house-price-prediction", "kernel_id": "17766711"}, {"ref": "chenzhiminzz/brokenheartfzz-s-house-price", "kernel_id": "17801349"}, {"ref": "leexiangqiong/houselxq", "kernel_id": "17801392"}, {"ref": "karinbondgaard/using-qlattice-for-my-very-first-notebook", "kernel_id": "17778937"}, {"ref": "xxbbxxbb/notebookbd96af5f64", "kernel_id": "17802012"}, {"ref": "idaidai/house-price", "kernel_id": "17934119"}, {"ref": "isimoto/notebookabe493aee4", "kernel_id": "17868871"}, {"ref": "tjfuyongjie/houreprice", "kernel_id": "17909287"}, {"ref": "shirazumlintraminhaghjou/house-prices-predict-sales-advanced-regression", "kernel_id": "18714119"}, {"ref": "miniconi/house-prediction-simulation", "kernel_id": "18620334"}, {"ref": "kizzyterra/studying-w-house-prices-05-intro-automl-pt-br", "kernel_id": "18646661"}, {"ref": "adityabhat/understand-xgboost-regressor-don-t-use-blindly", "kernel_id": "18600069"}, {"ref": "bjoernholzhauer/house-prices-fastai-in-r-issue", "kernel_id": "18723412"}, {"ref": "renatolochetti/house-prices-predictor", "kernel_id": "18728088"}, {"ref": "kavyag/house-price-prediction", "kernel_id": "18846581"}, {"ref": "iondrive/house-prices-solution-combining-python-tutorials", "kernel_id": "18793918"}, {"ref": "noordeen/notebooke494ad0004", "kernel_id": "18816705"}, {"ref": "msilva1/notebook1b02a73e5b", "kernel_id": "18308725"}, {"ref": "msilva1/house-prices", "kernel_id": "18163884"}, {"ref": "kayademirs/house-price", "kernel_id": "18803605"}, {"ref": "kritidoneria/top-1-housing-prices-easiest-solution-ever", "kernel_id": "18762668"}, {"ref": "yvonne1992/house-prices-regression-predictive-analysis", "kernel_id": "18362713"}, {"ref": "zyper26/house-price-advanced-regression", "kernel_id": "18453238"}, {"ref": "peachella11/pandas-intro", "kernel_id": "18625396"}, {"ref": "fabriciotorquato/house-prices-advanced-regression-techniques", "kernel_id": "18025209"}, {"ref": "kavyasreeb/house-price-prediction-basic-ensemble", "kernel_id": "18808216"}, {"ref": "ahmedabdulhamid/advanced-regression-for-house-price-prediction", "kernel_id": "18858371"}, {"ref": "prodzar/missing-data-handling-tutorial", "kernel_id": "18623954"}, {"ref": "corrrado/linear-reg-house-pricing", "kernel_id": "18085034"}, {"ref": "gurkansaman/house-price-advanced-predictive-techniques", "kernel_id": "18759633"}, {"ref": "juandaniel/tarea-12", "kernel_id": "18706256"}, {"ref": "mohamedsobhi777/regression", "kernel_id": "18929064"}, {"ref": "narsiis23/advanced-regression-techniques-house-prices", "kernel_id": "18706063"}, {"ref": "rishabhpandey97/house-prices-advanced", "kernel_id": "18740331"}, {"ref": "yejijang/house-prices", "kernel_id": "18891918"}, {"ref": "sanjeevsahu/house-price-prediction", "kernel_id": "18121188"}, {"ref": "ssriniv1/house-price", "kernel_id": "18843302"}, {"ref": "mehtapcetintas/house-prices", "kernel_id": "18582822"}, {"ref": "devendrabhattal/housing-price-regression-eda", "kernel_id": "18819125"}, {"ref": "soumik11/regression-using-deep-learning", "kernel_id": "18506366"}, {"ref": "shahd010/house-prices-advanced-regression-techniques", "kernel_id": "18126367"}, {"ref": "emnikkhil/feature-engineering", "kernel_id": "18370440"}, {"ref": "emnikkhil/exploratory-data-analysis-eda", "kernel_id": "18138774"}, {"ref": "nnitiwe/house-prediction-regression", "kernel_id": "18247706"}, {"ref": "mohamedsalah5369/house-prices-linear-regression", "kernel_id": "18832653"}, {"ref": "sakaguti1211/housse-price-ex", "kernel_id": "18623360"}, {"ref": "minhtien1405/house-price-prediction", "kernel_id": "18480870"}, {"ref": "shweta2407/house-prices-regression-predictive-analysis", "kernel_id": "18239713"}, {"ref": "chaisameboy/day1-house-price", "kernel_id": "18364156"}, {"ref": "chaisameboy/notebookd7d247a163", "kernel_id": "18130344"}, {"ref": "chaisameboy/notebook36c6f7703f", "kernel_id": "18391013"}, {"ref": "ridhijhamb/house-price-prediction", "kernel_id": "18049908"}, {"ref": "hassangaber/housing-price-notebook", "kernel_id": "18979724"}, {"ref": "pranay1990/pranay-house-prices-predictions", "kernel_id": "18901084"}, {"ref": "timchen1207/20210724-catboost", "kernel_id": "18802289"}, {"ref": "priteshprakash/house-price", "kernel_id": "18283610"}, {"ref": "srikantsahoo/house-prices-advanced-regression-techniques-lass", "kernel_id": "18103292"}, {"ref": "sheikabdul786/notebook5177732fa8", "kernel_id": "18824044"}, {"ref": "ikwhan/homework-3-linear-regression-ikwhan", "kernel_id": "18858100"}, {"ref": "ikwhan/housing-price-linear-regression", "kernel_id": "18753885"}, {"ref": "ayoubsadki/first-try-competion", "kernel_id": "18509929"}, {"ref": "ajayrajan/machine-learning-basic-regression-model-tutorial", "kernel_id": "18766651"}, {"ref": "alexkryshtop/house-prices-advanced-regression-techniques", "kernel_id": "18334398"}, {"ref": "davidanimaddo/ames-housing-prices-regression-xgboost", "kernel_id": "18958418"}, {"ref": "vasiliispe/house-pricing", "kernel_id": "18424348"}, {"ref": "ankitkumar121/house-price-prediction-eda-ml-for-absolute-beg", "kernel_id": "18329110"}, {"ref": "mohamedmostafa335/house-prices-prediction", "kernel_id": "18804105"}, {"ref": "saileshnair/hpart", "kernel_id": "18358167"}, {"ref": "bannourchaker/house-price-prediction", "kernel_id": "18427426"}, {"ref": "hiroshiotagaki/simple-xgboost-gridsearch-and-cv-with-r", "kernel_id": "18237314"}, {"ref": "lonnieqin/house-price-predictor-using-different-models", "kernel_id": "18977369"}, {"ref": "debmalyaray/housing-price-prediction-random-forest-regression", "kernel_id": "18464503"}, {"ref": "arpitpatel1989/feature-engineering-and-ensemble-techniques", "kernel_id": "18735938"}, {"ref": "frdricvavrille/lifts-between-variables-dataviz", "kernel_id": "18646343"}, {"ref": "bextuychiev/every-pandas-function-to-manipulate-time-series", "kernel_id": "18466860"}, {"ref": "bextuychiev/advanced-time-series-analysis-decomposition", "kernel_id": "18552057"}, {"ref": "bextuychiev/how-to-detect-white-noise-and-random-walks-in-ts", "kernel_id": "18616439"}, {"ref": "bextuychiev/no-bs-guide-to-hyperparameter-tuning-with-optuna", "kernel_id": "18951360"}, {"ref": "bextuychiev/20-burning-xgboost-faqs-answered-to-use-like-a-pro", "kernel_id": "18852222"}, {"ref": "rawanreda/machine-learning-rev", "kernel_id": "18957160"}, {"ref": "zeeshaanpathan/house-price-prediction-xgb-and-gbm", "kernel_id": "18753382"}, {"ref": "ashwinbhalerao/house-prices-advanced-regression-random-forest", "kernel_id": "18574736"}, {"ref": "orvindemsy/housing-beginner-basic-ridge-lasso-elastic", "kernel_id": "18189256"}, {"ref": "zigbean/random-forest-model-house-prices-regression", "kernel_id": "18399110"}, {"ref": "shivanirana63/advanced-reg-techniques-eda-feature-eng", "kernel_id": "18803149"}, {"ref": "anggidwifiani/lazy-prediction-complete-preparation", "kernel_id": "18846099"}, {"ref": "sakshi0100/house-price", "kernel_id": "18116821"}, {"ref": "doubledong/housepricing-advanced-regression", "kernel_id": "18923690"}, {"ref": "anirudhlakra/house-prices-explanatory-data-analysis", "kernel_id": "18596857"}, {"ref": "anirudhlakra/house-prices-competition-using-xgboost", "kernel_id": "18877213"}, {"ref": "abdooagwa/comprehensive-data-exploration-with-python", "kernel_id": "18875910"}, {"ref": "badiaamakhlouf/price-prediction-via-ensemble-learning", "kernel_id": "18942002"}, {"ref": "dipesh8/house-prices-feature-engineering", "kernel_id": "18656695"}, {"ref": "karanrawat1998/eda-feature-engineering-selection-explained", "kernel_id": "18735252"}, {"ref": "adityasunny/housing-price-prediction", "kernel_id": "18880124"}, {"ref": "adityasunny/eda-feature-engineering-feature-selection", "kernel_id": "18127544"}, {"ref": "syedhabeebullahqadri/python-random-forests-house-prices-predictions", "kernel_id": "18926034"}, {"ref": "tracyporter/ames-house-prices-mars", "kernel_id": "18289480"}, {"ref": "tracyporter/ames-house-prices-pca", "kernel_id": "18879208"}, {"ref": "rossin/house-pricing-notebook", "kernel_id": "18965274"}, {"ref": "muhammadshahroz/house-prices", "kernel_id": "18651914"}, {"ref": "rushikeshdarge/handle-missing-values-only-notebook-you-need", "kernel_id": "18513702"}, {"ref": "rushikeshdarge/popular-graphs-for-beginners", "kernel_id": "18637909"}, {"ref": "rawaaelghali/house-prices-data-exploration-with-python", "kernel_id": "18006434"}, {"ref": "victoriamiller19/predict-house-prices-xgboost-gbm-models", "kernel_id": "18768993"}, {"ref": "xueyangzhao/house-prices", "kernel_id": "18086478"}, {"ref": "thejosephgoodman/tutorial-for-beginners-house-price-prediction", "kernel_id": "18422065"}, {"ref": "fujiwaramayu/kernel511aa3ca25", "kernel_id": "18185038"}, {"ref": "iravad/house-price-advanced-regression-techniques-lasso", "kernel_id": "18175588"}, {"ref": "sidharth178/top-5-house-price-prediction", "kernel_id": "18791180"}, {"ref": "ahmedmabdelghani/house-prices-prediction", "kernel_id": "18997544"}, {"ref": "alaasedeeq/object-oriented-programming-for-data-science", "kernel_id": "18878327"}, {"ref": "axelito974/data-exploration-with-python", "kernel_id": "18426917"}, {"ref": "tylerrosacker/housing-price-model-build", "kernel_id": "18353611"}, {"ref": "tylerrosacker/housing-price-model-build-regularization", "kernel_id": "18436322"}, {"ref": "mdmustafijurrahman/house-price-prediction-v2", "kernel_id": "18950392"}, {"ref": "israelcastilloh/gbr-house-price-predictions", "kernel_id": "18830524"}, {"ref": "jayantsaboo/house-price-prediction-random-forest", "kernel_id": "18250676"}, {"ref": "aaquibsiddiqui/house-prices-regression", "kernel_id": "18481025"}, {"ref": "kentoa/1-house-prices-solution-top-1", "kernel_id": "18179916"}, {"ref": "rimshavirmani/house-price-prediction-xgb-and-gbm", "kernel_id": "18737139"}, {"ref": "s1samiksha/house-price-prediction-advanced-regression", "kernel_id": "18984141"}, {"ref": "cathy64/xgboost-parameter-tuning-for-beginner", "kernel_id": "18653966"}, {"ref": "haticeebraralc/housepriceprediction", "kernel_id": "18798735"}, {"ref": "brandonashley/house-prices", "kernel_id": "18117384"}, {"ref": "polowitty/house-price-test", "kernel_id": "18588692"}, {"ref": "polowitty/house-prices", "kernel_id": "18435287"}, {"ref": "tomokiisa/house-prices-prediction", "kernel_id": "18236764"}, {"ref": "saumya5679/house-prices-advanced-using-6-different-models", "kernel_id": "18556214"}, {"ref": "mahmoudabdulaal/advanced-house-prices-reg", "kernel_id": "18715915"}, {"ref": "paperscissoroxie/predicting-house-prices-regression-gbm", "kernel_id": "18906109"}, {"ref": "kartikbandarwad/house-price-prediction", "kernel_id": "18086626"}, {"ref": "greynolan/house-prices-automl", "kernel_id": "18504296"}, {"ref": "zlfnurdilaradodu/house-price-prediction", "kernel_id": "18957882"}, {"ref": "parvezsohail/house-price-prediction-with-catboost", "kernel_id": "18317011"}, {"ref": "berkkasapolu/house-price-prediction", "kernel_id": "18616760"}, {"ref": "harshdubey78/house-price-prediction-and-eda", "kernel_id": "18092063"}, {"ref": "akshayr009/houseprice", "kernel_id": "18973127"}, {"ref": "yk7283/house-price-prediction", "kernel_id": "18953067"}, {"ref": "aviksamantha/house-price-prediction", "kernel_id": "18014634"}, {"ref": "amitsaxena2021/house-prediction-regression-model", "kernel_id": "18015517"}, {"ref": "saifduh/beginner-friendly-house-price-prediction", "kernel_id": "18346810"}, {"ref": "mdkhairulalam/houseprice-prediction", "kernel_id": "18485108"}, {"ref": "kartik2khandelwal/house-price-prediction-eda-model-training", "kernel_id": "18040200"}, {"ref": "payah45678/advanced-house-pricing", "kernel_id": "18960426"}, {"ref": "rahulmish/eda-regression-for-learning", "kernel_id": "18479822"}, {"ref": "arpanmishra/exploratory-data-analysis-of-housing-dataset", "kernel_id": "18559807"}, {"ref": "nitishputrevu/nitish", "kernel_id": "18783702"}, {"ref": "aleksanderkunicki/house-prices", "kernel_id": "18265381"}, {"ref": "hrishikeshbhandarkar/house-price-prediction", "kernel_id": "18796744"}, {"ref": "ahmedmohamedmahrous/house-price-prediction-99-5-acc", "kernel_id": "18973539"}, {"ref": "yijiezhang098/assignment3", "kernel_id": "18132467"}, {"ref": "yijiezhang098/house-price-catboost-linear", "kernel_id": "18075224"}, {"ref": "oleksandrbielov/my-house-prices", "kernel_id": "18263467"}, {"ref": "dawngupta/house-price", "kernel_id": "18359055"}, {"ref": "aryansharma2/notebook64aa629956", "kernel_id": "18085269"}, {"ref": "sidhibansal/task-8-2", "kernel_id": "18441964"}, {"ref": "subeytetaskin/notebook5313be0622", "kernel_id": "18899409"}, {"ref": "rachceew/eda-with-ac-data", "kernel_id": "18397336"}, {"ref": "elemento/houseprices-art", "kernel_id": "18702187"}, {"ref": "arminar/housing-prediction-using-gradient-boosting", "kernel_id": "18295859"}, {"ref": "chandrajoshi/houseprice", "kernel_id": "18138805"}, {"ref": "zainhassanali/prediction-with-regressors", "kernel_id": "18987623"}, {"ref": "hectorsutre/notebook86ae611f25", "kernel_id": "18195222"}, {"ref": "hectorsutre/house-price-catboost", "kernel_id": "18201658"}, {"ref": "adeniss/notebook67b7aeffc1", "kernel_id": "18220010"}, {"ref": "saruhangngr/price-prediction-with-gb-backward-elemination", "kernel_id": "18447237"}, {"ref": "furkanuysl/housepriceprediction-regressiontechniques", "kernel_id": "18848729"}, {"ref": "helvetica822/house-price-elastic-net", "kernel_id": "18144506"}, {"ref": "wzha8255/regression-housing-price", "kernel_id": "18985475"}, {"ref": "vungocbinh/house-prices-with-scikit-learn", "kernel_id": "18103475"}, {"ref": "snikhil17/top-2-using-optuna-and-xgbregressor", "kernel_id": "18362633"}, {"ref": "adityawisnugrahas/eda-regression-predict-using-several-methods", "kernel_id": "18899077"}, {"ref": "iambideniz/housepriceprediction", "kernel_id": "18841428"}, {"ref": "jaredteoh/house-prices-data-pre-processing-and-prediction", "kernel_id": "18140779"}, {"ref": "bserdogan/predicting-house-prices-xgboost-gbm-models", "kernel_id": "18654334"}, {"ref": "bserdogan/correlation-analysis-normality-and-visualization", "kernel_id": "18114769"}, {"ref": "kimhyelin/stacked-regressions-to-predict-house-prices-hl", "kernel_id": "18615853"}, {"ref": "alankadiev/salesprediction-stacking", "kernel_id": "18744465"}, {"ref": "mortrest/house-price-prediction", "kernel_id": "18806340"}, {"ref": "oladeleoluwaseun/outlier-the-silent-killer", "kernel_id": "18633420"}, {"ref": "aniketkumar01/housepricepredict", "kernel_id": "18726372"}, {"ref": "dhaneeshkarthikp/house-price", "kernel_id": "18732336"}, {"ref": "qiqiaaa/buildprice", "kernel_id": "18035487"}, {"ref": "yeoneungjun/house-price-prediction-traditional", "kernel_id": "18557041"}, {"ref": "samratdoi/house-price-prediction-eda-advanced-regression", "kernel_id": "18381472"}, {"ref": "jillanisofttech/notebook-for-housing", "kernel_id": "18336621"}, {"ref": "mukutsharma/house-prediction", "kernel_id": "18265757"}, {"ref": "dapingzhang/experiment-2-categorical-variables", "kernel_id": "18333143"}, {"ref": "dapingzhang/experiment-1-missing-values", "kernel_id": "18299303"}, {"ref": "nguynphmkhoa/house-price-predictions", "kernel_id": "18709696"}, {"ref": "orlandosols1294/o-solis-12-parte-b", "kernel_id": "18647347"}, {"ref": "elianeth/houseprices-rn", "kernel_id": "18752187"}, {"ref": "veronikasuprunovich/house-prices-comparison-of-regression-techniques", "kernel_id": "18110303"}, {"ref": "bbaabbaakk/house-prices", "kernel_id": "18368191"}, {"ref": "ishan24sharma/house-prices", "kernel_id": "18479808"}, {"ref": "issamechchaoui/notebook166cf15e1e", "kernel_id": "18923489"}, {"ref": "ajaybabua/notebook1ec20279bb", "kernel_id": "18131699"}, {"ref": "yurimhwang/house-price-yr-v1", "kernel_id": "18480315"}, {"ref": "paulinosc/notebookd63bf406b0", "kernel_id": "18652198"}, {"ref": "aakanshjain/property-price-prediction", "kernel_id": "18789075"}, {"ref": "rogerszzz/house-price", "kernel_id": "18650124"}, {"ref": "tatsyaishikawa/note003", "kernel_id": "18581374"}, {"ref": "tatsyaishikawa/note002", "kernel_id": "18580625"}, {"ref": "kotrying/tpot-house-price", "kernel_id": "18681312"}, {"ref": "chengbozheng/how-i-made-top-0-3-on-a-kaggle-competition", "kernel_id": "18264893"}, {"ref": "taigasogame/houseprise-gdbt", "kernel_id": "18018357"}, {"ref": "sevvalyurtekin/house-price-prediction", "kernel_id": "18924045"}, {"ref": "niketku/eda-and-house-prediction-model", "kernel_id": "18696391"}, {"ref": "fernandobenavidesv/tarea12-parteb", "kernel_id": "18643224"}, {"ref": "udayan94/advance-house-price-prediction-modelling", "kernel_id": "18345727"}, {"ref": "jaikhatri/notebook1b12d16ad8", "kernel_id": "18829744"}, {"ref": "hyunhp/stacked-regressions-written-by-sergine", "kernel_id": "18479887"}, {"ref": "yunjing0909/house-price-prediction", "kernel_id": "18242393"}, {"ref": "gaurav126/qstp-project1", "kernel_id": "18832514"}, {"ref": "markosthabit/house-price-prediction", "kernel_id": "18050497"}, {"ref": "siddyyy/home-price-predition-exploratory-data-analysis", "kernel_id": "18368143"}, {"ref": "siddyyy/house-price-prediction-feature-engineering", "kernel_id": "18447507"}, {"ref": "axhizjack/house-pricing2", "kernel_id": "18349494"}, {"ref": "axhizjack/house-pricing", "kernel_id": "18082270"}, {"ref": "basakcelikdemir/housepriceprediction", "kernel_id": "18810174"}, {"ref": "kubrabilinmis/house-price-predictionn", "kernel_id": "18830259"}, {"ref": "heyrutvik/house-prices-ml", "kernel_id": "18239502"}, {"ref": "luisdiegoarrieta/notebook76361af950", "kernel_id": "18647266"}, {"ref": "eadrngrrsnchz/notebook-houses-keras", "kernel_id": "18648239"}, {"ref": "garyyehyl/house-prices-xgboost", "kernel_id": "18347912"}, {"ref": "garyyehyl/house-prices-learning-elasticnet-and-svr", "kernel_id": "18458370"}, {"ref": "aniketgupta1001/house-prices", "kernel_id": "18720055"}, {"ref": "boshrabesharat/housing-price-linear-regression", "kernel_id": "18747007"}, {"ref": "tatianasback/linear-regression-house-price", "kernel_id": "18253143"}, {"ref": "moisespessoa/tarea12-2", "kernel_id": "18708744"}, {"ref": "murari1235/house-price-prediction2", "kernel_id": "18368245"}, {"ref": "kristelml/housepricesnuronalnet", "kernel_id": "18709086"}, {"ref": "pritampaulcrow/house-prices", "kernel_id": "18924664"}, {"ref": "yashdamle/qstp-intro-to-data-science-assignment", "kernel_id": "18830030"}, {"ref": "drime124/houce-price-regresssion-good", "kernel_id": "18749574"}, {"ref": "dhinakarswamy/house-price-prediction", "kernel_id": "18399801"}, {"ref": "shubhiijain/house-price-predictions", "kernel_id": "18738993"}, {"ref": "ludwingyoung/diplomado-umsa-house-prices", "kernel_id": "18750334"}, {"ref": "stefanschulmeister87/price-prediction-with-model-stacking-tensorflow", "kernel_id": "18294005"}, {"ref": "tarunnagavinaysai/task-8-2", "kernel_id": "18421226"}, {"ref": "nirmalvignu/advance-house-price-prediction", "kernel_id": "18377874"}, {"ref": "maskrap97/easy-to-follow-eda-and-machine-learning-python", "kernel_id": "18627650"}, {"ref": "hemamounika/task-8-2", "kernel_id": "18420679"}, {"ref": "rajeshwaris/house-prices", "kernel_id": "18746857"}, {"ref": "shayistamulla/house-prices-advanced-regression-techniques", "kernel_id": "18582296"}, {"ref": "danigutierrezmeyer/houseprices-def", "kernel_id": "18370722"}, {"ref": "rudranil03822/0-14823", "kernel_id": "18549210"}, {"ref": "keerthi182e5/house-price-prediction", "kernel_id": "18424440"}, {"ref": "moruharika/notebookf5e5eeb74c", "kernel_id": "18445920"}, {"ref": "prathikshabr/houseprices-linearregression-kaggleproject-6", "kernel_id": "18756468"}, {"ref": "sravanirayapati/house-price-prediction", "kernel_id": "18443046"}, {"ref": "annarathpho/hh-price-prediction", "kernel_id": "18479725"}, {"ref": "naushilkhajanchi/comprehensive-data-exploration-with-python", "kernel_id": "18240428"}, {"ref": "lukeconibear/simple-guide-to-get-started", "kernel_id": "18608164"}, {"ref": "viiidhi/regex-task-8-question-2", "kernel_id": "18451281"}, {"ref": "laxmansingh12/house-price-analysis", "kernel_id": "18529314"}, {"ref": "bhavithadurgap/house-price-prediction", "kernel_id": "18489478"}, {"ref": "patildhananjayp/housing-price-regression", "kernel_id": "18740236"}, {"ref": "kalpikhamogha/price-predictions-using-pipelines", "kernel_id": "18824834"}, {"ref": "armanakbari/house-prediction-with-diffrent-methods", "kernel_id": "18715713"}, {"ref": "kmwooss/lassoreg-test", "kernel_id": "18041559"}, {"ref": "mitishaagarwal/house-price", "kernel_id": "18879908"}, {"ref": "maryamfirouzi/data-preparation-regression1-exercise", "kernel_id": "18703397"}, {"ref": "ramsegaurav/house-prediction", "kernel_id": "18757844"}, {"ref": "yaldajafari/advance-house-price-step-by-step", "kernel_id": "18715584"}, {"ref": "bitturaj391/house-prices-advanced-regression", "kernel_id": "18702017"}, {"ref": "bitturaj391/notebookfed0f4cac3", "kernel_id": "18727347"}, {"ref": "knuthegg/house-prices-beginner-attempt", "kernel_id": "18660506"}, {"ref": "jeongkyulim/come-and-see-prediction-with-catboost-in-r", "kernel_id": "18576432"}, {"ref": "keerthanamreddy/week-3-house-price", "kernel_id": "18579384"}, {"ref": "keerthanamreddy/week-3-house-priceee", "kernel_id": "18719147"}, {"ref": "ani088/house-price-predictions", "kernel_id": "18776792"}, {"ref": "farhadhossainbd/house-price-analysis-and-predicting-by-pytorch", "kernel_id": "18706893"}, {"ref": "arnavpanda/notebooke666289745", "kernel_id": "18412584"}, {"ref": "ruchimishra01/house-price-eda", "kernel_id": "18412799"}, {"ref": "anshulavinashe/new-test-data", "kernel_id": "18839181"}, {"ref": "anshulavinashe/housingprices", "kernel_id": "18839979"}, {"ref": "anuraganand1402/kaggle-project1-qstp", "kernel_id": "18831221"}, {"ref": "pratyushsingh09/house-prices-prediction-random-forest-regressor", "kernel_id": "18829266"}, {"ref": "adityahridaysahu/aditya-hriday-sahu-house-proj", "kernel_id": "18830692"}, {"ref": "manalimahajan/notebookb2af8b60db", "kernel_id": "18837958"}, {"ref": "ganeshjshetty/housing-price", "kernel_id": "18763096"}, {"ref": "sohann/notebookf2b2e6652e", "kernel_id": "18832034"}, {"ref": "pradeeptripathi777/pradeep-tripathi-bits-goa", "kernel_id": "18778669"}, {"ref": "erikaobonai/notebook-obonai", "kernel_id": "18598523"}, {"ref": "alrohit/qstp-hp-1", "kernel_id": "18827522"}, {"ref": "rutvisharma/house-prices-regression-predictive-analysis", "kernel_id": "18463242"}, {"ref": "bharathtvns/notebook08c3c2fd98", "kernel_id": "18871515"}, {"ref": "saumyaajaykumar/saumya-ajay-kumar", "kernel_id": "18830697"}, {"ref": "jortam/predicting-house-prices", "kernel_id": "18708747"}, {"ref": "alexey100/simple-keras-model", "kernel_id": "18780948"}, {"ref": "debkumarsur/linear-regression-on-house-price-prediction", "kernel_id": "18822763"}, {"ref": "bassmahassan/house-price-predictions", "kernel_id": "18909379"}, {"ref": "divych13/handle-missing-values-only-notebook-you-need", "kernel_id": "18924530"}, {"ref": "nanosoft/test-housepriceprediction", "kernel_id": "18836677"}, {"ref": "josepheisner/house-prices", "kernel_id": "18860488"}, {"ref": "piruru/easy-to-follow-eda-and-machine-learning-python", "kernel_id": "18937229"}, {"ref": "anujmd/housing-models", "kernel_id": "19866129"}, {"ref": "brettmonson/house-price-prediction", "kernel_id": "19041558"}, {"ref": "skrekas/advanced-house-price-prediction", "kernel_id": "19098549"}, {"ref": "gooner1997/exercise-intro-to-automl", "kernel_id": "19887301"}, {"ref": "christodoulos/xgboost-w-simple-feature-engineering", "kernel_id": "19377761"}, {"ref": "amirkhn33/housepriceprediction-regressiontechniques", "kernel_id": "19485275"}, {"ref": "rdhf00/house-prices-eda-and-regression", "kernel_id": "19849688"}, {"ref": "shenurisumanasekara/house-price-prediction-shenuri", "kernel_id": "19794109"}, {"ref": "shenurisumanasekara/house-price-2", "kernel_id": "19847658"}, {"ref": "fanbyprinciple/beginner-pytorch-notebook-on-housing-dataset", "kernel_id": "19301510"}, {"ref": "taryll/houses-price-regression", "kernel_id": "19119564"}, {"ref": "infrarosso/houses-prices-with-dnn-keras-tuner", "kernel_id": "19504684"}, {"ref": "yosrinegm/exercise-intro-to-automl", "kernel_id": "19681104"}, {"ref": "farookfazni/house-prices-advanced-regression-techniques", "kernel_id": "19902378"}, {"ref": "johnnynyamanaka/primeiro-modelo-regressao", "kernel_id": "19381677"}, {"ref": "amr1996/comprehensive-data-exploration-with-python", "kernel_id": "19744946"}, {"ref": "laloromero/house-prices-challenge", "kernel_id": "19295244"}, {"ref": "anamulhasandhusor/pattern-project", "kernel_id": "19865582"}, {"ref": "dberezhnoy/house-regr-with-xgboost-lasso-ridge-elasticnet", "kernel_id": "19869573"}, {"ref": "austinzhao/house-price-regression", "kernel_id": "19960131"}, {"ref": "zhousu89/house-prices-eda-feature-engineering", "kernel_id": "19175065"}, {"ref": "mostafa010/notebook19abfd4a0e", "kernel_id": "19815804"}, {"ref": "chaisameboy/house-price-prediction", "kernel_id": "19065582"}, {"ref": "drnykterstein/ml-and-ds-workflow", "kernel_id": "19928007"}, {"ref": "goodnowcurr30/house-price-prediction", "kernel_id": "19466334"}, {"ref": "danilopaula/lgbm-for-house-prices-competition", "kernel_id": "19336898"}, {"ref": "medemirhan/housing-prices-v2", "kernel_id": "19869394"}, {"ref": "adityakumawat11/house-price-predictions", "kernel_id": "19012915"}, {"ref": "stewbro4/house-price-prediction", "kernel_id": "19674579"}, {"ref": "smartsolutaris/house-price-prediction", "kernel_id": "19580205"}, {"ref": "ismailbarca/ismail-house-price", "kernel_id": "19982340"}, {"ref": "khkuggle/prediction-for-house-prices-stacking-technique", "kernel_id": "19615384"}, {"ref": "sanjaylalwani/houseprediction", "kernel_id": "19271330"}, {"ref": "mustafacicek/simple-eda-functions-for-data-analysis", "kernel_id": "19271579"}, {"ref": "kalilurrahman/house-prices-advanced-regression-techniques-kr", "kernel_id": "19989999"}, {"ref": "muhammedjaabir/my-best-high-score", "kernel_id": "19159842"}, {"ref": "gokulprakash/ensemble", "kernel_id": "19169420"}, {"ref": "bextuychiev/25-pandas-functions-you-didn-t-know-existed", "kernel_id": "19078762"}, {"ref": "bextuychiev/7-coolest-packages-top-kagglers-are-using", "kernel_id": "19265054"}, {"ref": "alperenkaran/a-full-scikit-learn-pipeline-on-house-prices", "kernel_id": "19003536"}, {"ref": "zongyuanyu/house-prices-predication-with-lasso-elastic-net", "kernel_id": "19954311"}, {"ref": "leonardpleiss/house-prices-0-129-rmse-suggestions-appreciated", "kernel_id": "19337593"}, {"ref": "gopinath15/housing-price-prediction-advanced-techniques", "kernel_id": "19951299"}, {"ref": "athirahh/house-prices-v1-ath", "kernel_id": "19557535"}, {"ref": "danielralston/housing-data-attempt-1", "kernel_id": "19052010"}, {"ref": "vamsivuyyuru/house-price-prediction-multi-model-ml-foundation", "kernel_id": "19262304"}, {"ref": "aartiravariya/house-price-prediction", "kernel_id": "19006345"}, {"ref": "tracyporter/house-prices-transform-ridgecv", "kernel_id": "19578670"}, {"ref": "rendyk/automl-regression-part1", "kernel_id": "19470296"}, {"ref": "hrishikeshkini/house-prices-advanced-regression-techniques", "kernel_id": "19941709"}, {"ref": "tejasboss/advanced-house-liner-regression", "kernel_id": "19076778"}, {"ref": "harshalnikose/house-prices-regression-techniques", "kernel_id": "19110305"}, {"ref": "rkraghavkh18/analysis", "kernel_id": "19445479"}, {"ref": "desalegngeb/a-short-tutorial-in-r-easy-start", "kernel_id": "19310645"}, {"ref": "alptugaydin/house-price-6-models-r2-0-88", "kernel_id": "19712162"}, {"ref": "santhiyar/house-price-prediction", "kernel_id": "19908822"}, {"ref": "joacobembhy/house-pricing", "kernel_id": "19619138"}, {"ref": "joacobembhy/house-prices-etl", "kernel_id": "19530904"}, {"ref": "selvadharani/day-12", "kernel_id": "19914246"}, {"ref": "sudhanshublaze/comprehensive-eda", "kernel_id": "19039574"}, {"ref": "dhananjaysawarkar/house-price-prediction-for-beginners", "kernel_id": "19462525"}, {"ref": "semihuslu/multiple-ml-house-price-prediction", "kernel_id": "19120849"}, {"ref": "loainagib/house-price-eda-boosting", "kernel_id": "19970658"}, {"ref": "georgekantasis/housing-prices-competition", "kernel_id": "19932025"}, {"ref": "arnoldyanga/house-sale-prediction-random-forest", "kernel_id": "19885318"}, {"ref": "heidemaebalcera/expansive-eda", "kernel_id": "19056537"}, {"ref": "saiabhitejachepuri/advance-regression-05", "kernel_id": "19414139"}, {"ref": "arnaudpauwelyn/predict-house-prices", "kernel_id": "19429993"}, {"ref": "aeyeee/eda-for-the-beginners", "kernel_id": "19722901"}, {"ref": "aeyeee/hyperparameter-optimization-using-optuna", "kernel_id": "19743793"}, {"ref": "pallavipatial/house-price-prediction", "kernel_id": "19228704"}, {"ref": "st4rf4ll/extreme-gradient-boost-housing-price-model", "kernel_id": "19382227"}, {"ref": "skiraz/house-price-predictions-score-0-12371", "kernel_id": "19695529"}, {"ref": "vaishnavikarelia/house-price-prediction-linear-regression", "kernel_id": "19009475"}, {"ref": "khushalkhare/notebook5da2df75bf", "kernel_id": "19576849"}, {"ref": "saharpourahmad/house-prices-advanced-regression-techniques", "kernel_id": "19987796"}, {"ref": "biedegberylkristina/notebook-house-price", "kernel_id": "19991998"}, {"ref": "mgen2020/housepredict", "kernel_id": "19161012"}, {"ref": "abhisheksisodiya/house-price-randomforestregressor", "kernel_id": "19846764"}, {"ref": "kanchanverma0319/notebookf78806ff96", "kernel_id": "19247213"}, {"ref": "hrishikeshbhandarkar/price-prediction-3", "kernel_id": "19545464"}, {"ref": "hrishikeshbhandarkar/house-price-prediction-02", "kernel_id": "19143969"}, {"ref": "sandipannag/house-prices-multi-model-prediction", "kernel_id": "19271616"}, {"ref": "srikanthrvp/practising-the-price-predicition", "kernel_id": "19199196"}, {"ref": "abhivarma362/house-prices", "kernel_id": "19801772"}, {"ref": "aminghias/exercise-intro-to-automl", "kernel_id": "19665157"}, {"ref": "taylanmerttonka/houseprice-predict-with-xgb-rf-svm-and-gridsearhcv", "kernel_id": "19057822"}, {"ref": "minglu2021/house-price", "kernel_id": "19861330"}, {"ref": "blood174/predicting-house-prices-with-linear-regression", "kernel_id": "19777303"}, {"ref": "snikhil17/qq-plots", "kernel_id": "19783596"}, {"ref": "jungseungkiewf/house-price-prediction", "kernel_id": "19463004"}, {"ref": "starkkang/basic-house-prices-predictions-bhpp-0-182", "kernel_id": "19866212"}, {"ref": "nikhileshpattanayak/housing-price-prediction", "kernel_id": "19348490"}, {"ref": "burakkocak14/house-price-prediction", "kernel_id": "19639282"}, {"ref": "khalidmohamed96/houses-price-prediction-using-linear-regression", "kernel_id": "19223971"}, {"ref": "neoksei/predict-house-prices-with-mlp", "kernel_id": "19309044"}, {"ref": "wookwook2/regression-practice1", "kernel_id": "19604388"}, {"ref": "mohamedamineaffes123/house-price", "kernel_id": "19586797"}, {"ref": "bidiptabikashgogoi/price-prediction-with-88-accuracy-5-model-tested", "kernel_id": "19881886"}, {"ref": "sanjeevkumarm/house-price-prediction-using-pipeline", "kernel_id": "19922564"}, {"ref": "hugolearn/house-price-prediction-practice", "kernel_id": "19644406"}, {"ref": "kylethomson2/housing-prices-advanced-regression", "kernel_id": "19283385"}, {"ref": "hoangphamviet/house-price-stacked-regression-top-3", "kernel_id": "19724147"}, {"ref": "hoangphamviet/beginner-quick-start-house-price-competition", "kernel_id": "19679985"}, {"ref": "alicewulim/6housing", "kernel_id": "19917412"}, {"ref": "pralabhpoudel/house-price-prediction-regression-models-and-dl", "kernel_id": "19586269"}, {"ref": "nikhiln2312/house-price-prediction", "kernel_id": "19006422"}, {"ref": "sondosmohmed/house-prices-xgbregressor", "kernel_id": "19750224"}, {"ref": "yutataira/cross-validation-tutorial", "kernel_id": "19057303"}, {"ref": "yutataira/hyper-parameter-tuning", "kernel_id": "19067026"}, {"ref": "hajaribrahiem/notebook2d591b8d5c", "kernel_id": "19772151"}, {"ref": "youssefwagih/house-prediction-using-regression", "kernel_id": "19712755"}, {"ref": "mahmoudabdelmohsen/house-prices-by-mahmoud-abdelmohsen", "kernel_id": "19752119"}, {"ref": "yogeshwaranma/house-price", "kernel_id": "19689053"}, {"ref": "shub20/house-price-prediction", "kernel_id": "19330562"}, {"ref": "teymurr/house-price-prediction", "kernel_id": "19353399"}, {"ref": "suzukikatsuto/day-16", "kernel_id": "19933677"}, {"ref": "ahmedhaytham/new777", "kernel_id": "19838613"}, {"ref": "cpluzshrijayan/exercise-intro-to-automl", "kernel_id": "19398244"}, {"ref": "navidalazim/house-prices-xgboost-rfc", "kernel_id": "19045972"}, {"ref": "zangief/house-preds", "kernel_id": "19563703"}, {"ref": "gayatriparankar/housepriceprediction", "kernel_id": "19366912"}, {"ref": "gayatriparankar/house-price-with-lr-dt-rf-xgb", "kernel_id": "19386347"}, {"ref": "martynovandrey/hous-prices-0-12-fe-optuna-voting", "kernel_id": "19590913"}, {"ref": "shubhamthkumar1997/house-prices-advance-regression", "kernel_id": "19595016"}, {"ref": "ahmedsheriif/gettingstarted-house-pricing", "kernel_id": "19106913"}, {"ref": "afrinamustofasharony/house-price-advanced-regression", "kernel_id": "19045976"}, {"ref": "caterinalupo/houseprice-mykernel", "kernel_id": "19015759"}, {"ref": "amrkasem/houseprice-predictor", "kernel_id": "19041493"}, {"ref": "maryamfirouzi/data-preparation-regression2-exercise", "kernel_id": "19077459"}, {"ref": "mohammadsabeti/house-price-prediction", "kernel_id": "19001823"}, {"ref": "fereshte68/house-price-prediction", "kernel_id": "19090954"}, {"ref": "breyenguyen/house-prices-model-selection-with-gridsearchcv", "kernel_id": "19836266"}, {"ref": "haribol123/house-price-pridiction", "kernel_id": "19553896"}, {"ref": "mohamedatef321/house-prices-project-5-ml-models", "kernel_id": "19493499"}, {"ref": "pushkarawasthi/data-exploration-with-python", "kernel_id": "19426001"}, {"ref": "dariocioni/house-prices", "kernel_id": "19695351"}, {"ref": "deepeshaburse/xgboost-house-price-prediction-competition", "kernel_id": "19786518"}, {"ref": "ajaysundharkumar/select-features-based-on-their-data-type", "kernel_id": "19855353"}, {"ref": "hassannassar10/test-1", "kernel_id": "19771624"}, {"ref": "farhatbassel/house-pricing", "kernel_id": "19212476"}, {"ref": "niketagarwal06/house-price", "kernel_id": "19881972"}, {"ref": "tharaniganesh/day-16", "kernel_id": "19906342"}, {"ref": "lildatascientist/multiclass-classification-from-scratch", "kernel_id": "19510228"}, {"ref": "lildatascientist/importance-of-scaling-data", "kernel_id": "19470135"}, {"ref": "lildatascientist/neural-network-from-scratch", "kernel_id": "19792433"}, {"ref": "wutangfza/house-prices-with-keras", "kernel_id": "19284271"}, {"ref": "dacianpeng/tensorflow-2-6-0-solution-for-house-pricing", "kernel_id": "19776881"}, {"ref": "mioinamijima/h-p-pred-chanmio", "kernel_id": "19502567"}, {"ref": "usharanivankara/house-prices-prediction-with-lasso-and-ridge", "kernel_id": "19962154"}, {"ref": "esratmaria/house-price-prediction-feature-engineering", "kernel_id": "19779223"}, {"ref": "alexlichtenstein/alex-lichtenstein-lgbm", "kernel_id": "19809205"}, {"ref": "huhaibo08/house-price-test1", "kernel_id": "19922797"}, {"ref": "huangguofu/tinanic-notebook", "kernel_id": "20104396"}, {"ref": "amineteffal/fork-of-house-prices-advanced-tech", "kernel_id": "20696191"}, {"ref": "gopalmahadevan/fork-of-for-best-score-use-this-notebook-up-vote", "kernel_id": "20089979"}, {"ref": "gopalmahadevan/comprehensive-data-exploration-with-python", "kernel_id": "20090419"}, {"ref": "adityabhat/house-price-what-factors-make-people-pay-more", "kernel_id": "20247273"}, {"ref": "zavodrobotov/feature-engineering-from-0-144-to-0-136", "kernel_id": "20304859"}, {"ref": "adebayo/housing-prices-predictions", "kernel_id": "20239977"}, {"ref": "jchang4/fast-ai-regression-house-prices", "kernel_id": "20171659"}, {"ref": "hisaylama/housing-price-competition", "kernel_id": "20182216"}, {"ref": "lilsummer877/too-many-features", "kernel_id": "20293881"}, {"ref": "christodoulos/house-prices-ensemble-learning-w-xgboost-dnn", "kernel_id": "20429270"}, {"ref": "kritidoneria/automated-eda-on-housing-prices", "kernel_id": "20322409"}, {"ref": "leenamasih/detailed-exploratory-data-analysis-with-python", "kernel_id": "20793324"}, {"ref": "abhaysen07/advance-regression-technique-eda-regression", "kernel_id": "20577865"}, {"ref": "at3191/housing-prices-project-final", "kernel_id": "20005610"}, {"ref": "pradnyanandana/house-price-regression", "kernel_id": "20442377"}, {"ref": "mauryasameer47/eda-model-buidling-pycaret", "kernel_id": "20243870"}, {"ref": "praburocking/comeback-pipline", "kernel_id": "20321363"}, {"ref": "romantz/optuna-hyperparam-optimization-for-beginners", "kernel_id": "20477376"}, {"ref": "johnnynyamanaka/feature-selection-training", "kernel_id": "20223002"}, {"ref": "seungtaekim/house-price-advanced-regression", "kernel_id": "20854354"}, {"ref": "rborder/house-price-regression-analysis", "kernel_id": "20029599"}, {"ref": "gazu468/play-with-data-beginner-strategy", "kernel_id": "20440464"}, {"ref": "yolakamalita/house-prices-prediction-regression-final", "kernel_id": "20697121"}, {"ref": "akkkkii/house-price-prediction-using-linear-regression", "kernel_id": "20140791"}, {"ref": "kreshnikg/house-pricing-preprocessing-parameter-tuning", "kernel_id": "20288897"}, {"ref": "vivek468/can-we-predict-house-prices-sweetvizeda", "kernel_id": "20645422"}, {"ref": "bhoopi/house-price-lr", "kernel_id": "20503943"}, {"ref": "davidkagglegogogo/comprehensive-data-exploration-with-python", "kernel_id": "20360469"}, {"ref": "vtecftwy/ai-deep-dive-02-td", "kernel_id": "20325187"}, {"ref": "thor1813/house-prices-pipeline", "kernel_id": "20544461"}, {"ref": "thor1813/house-prices-ensembling-technique", "kernel_id": "20447700"}, {"ref": "jchow2/coding-challenge-predict-house-prices", "kernel_id": "20230398"}, {"ref": "dhirajmwagh1111/advance-house-price-prediction", "kernel_id": "20447716"}, {"ref": "ahmeddraz/simple-linear-regression", "kernel_id": "20193143"}, {"ref": "mysha1rysh/house-prices-competition", "kernel_id": "20116799"}, {"ref": "yongbaochen/lightgbm-model-to-predict-the-house-prices", "kernel_id": "20566650"}, {"ref": "yongbaochen/ensemble-stacking-to-predict-the-house-prices", "kernel_id": "20568057"}, {"ref": "marcoslacasacazcarra/houseprices-analisis-con-pycaret", "kernel_id": "20053320"}, {"ref": "akhilkumarks/notebook253c63faeb", "kernel_id": "20480101"}, {"ref": "squarex/house-prices-eda-stacking-xgb-lgb", "kernel_id": "20421275"}, {"ref": "harshwalia/house-price-advanced-regression-with-eda", "kernel_id": "20804218"}, {"ref": "souryadipstan/house-price-prediction-xgboost-random-forest", "kernel_id": "20445227"}, {"ref": "carlmcbrideellis/feature-importance-using-the-lasso", "kernel_id": "20685239"}, {"ref": "youssefalashmawy/house-prices-youssef", "kernel_id": "20111748"}, {"ref": "eddiehole/house-prediction-eda-feature-engineering", "kernel_id": "20004607"}, {"ref": "khkuggle/linear-regression-from-scratch-with-explanations", "kernel_id": "20607107"}, {"ref": "aasirwaseer/house-prices-advanced-regression-techniques", "kernel_id": "20250633"}, {"ref": "shitangshumaity/house-sale-prediction-lasso-ridge-regression", "kernel_id": "20040650"}, {"ref": "shankarj/predicting-house-prices-using-regression", "kernel_id": "20470115"}, {"ref": "shrawansahu/surprise-housing-ridge-and-lasso-regression", "kernel_id": "20585314"}, {"ref": "entekang/predicting-housing-prices", "kernel_id": "20991201"}, {"ref": "brendanfunk/lin-model-rd1", "kernel_id": "20938215"}, {"ref": "lonnieqin/house-prices-prediction-with-catboost", "kernel_id": "20089919"}, {"ref": "lonnieqin/house-prices-prediction-with-xgboost", "kernel_id": "20211392"}, {"ref": "lonnieqin/linear-regression-house-price-prediction", "kernel_id": "20243254"}, {"ref": "lonnieqin/house-prices-prediction-with-kerastuner", "kernel_id": "20843392"}, {"ref": "satyajitmaitra/regression", "kernel_id": "20989527"}, {"ref": "rahulban/housing-prices-hw", "kernel_id": "20453953"}, {"ref": "bextuychiev/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20511503"}, {"ref": "bextuychiev/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "20761982"}, {"ref": "enesimek/house-price-prediction", "kernel_id": "20574571"}, {"ref": "ashanpeiris/house-prices-prediction", "kernel_id": "20369204"}, {"ref": "anikkumar/house-price-advanced-pipeline-rmse-0-12764", "kernel_id": "20650027"}, {"ref": "serendongi/lasso-regressor", "kernel_id": "20068284"}, {"ref": "priyank7/house-naive", "kernel_id": "20595218"}, {"ref": "priyank7/house-cleaning-mi-fi", "kernel_id": "20591640"}, {"ref": "priyank7/pycaret-regression", "kernel_id": "20628838"}, {"ref": "priyank7/house-eda", "kernel_id": "20507582"}, {"ref": "ahmedaffan789/house-price-prediction", "kernel_id": "20635499"}, {"ref": "muki2003/deeplearning-house-price-prediction", "kernel_id": "20889942"}, {"ref": "akshatporwal/eda-housing-price", "kernel_id": "20276180"}, {"ref": "dmitryfomkin/k-neighbors", "kernel_id": "20137944"}, {"ref": "mohamednabill7/house-prices-prediction", "kernel_id": "20774192"}, {"ref": "vincentcc/house-price-regression", "kernel_id": "20637714"}, {"ref": "shahbaz9/housing-price-prediction", "kernel_id": "20347726"}, {"ref": "tabishkhan1/advance-house-prediction-using-linear-regression", "kernel_id": "20133486"}, {"ref": "bertanimre/house-price-prediction", "kernel_id": "20953339"}, {"ref": "bhavinmoriya/house-price-ensemble-learning-beginner-friendly", "kernel_id": "20513262"}, {"ref": "pathanamjadkhan/house-prediction-regression", "kernel_id": "20732394"}, {"ref": "sanjay9607/house-pred", "kernel_id": "20413899"}, {"ref": "eugeneosakovich/my-ames-house-dataset-evos", "kernel_id": "20280581"}, {"ref": "bhagwangawali/part-ii-data-cleaning", "kernel_id": "20613717"}, {"ref": "bhagwangawali/part-iii-feature-engineering", "kernel_id": "20598162"}, {"ref": "tracyporter/house-prices-udemy-course", "kernel_id": "20056015"}, {"ref": "mdrakibuzzaman/house-price-347", "kernel_id": "20238387"}, {"ref": "devkumar247/house-price-with-detailed-info", "kernel_id": "20281420"}, {"ref": "ntman3158/houseprices-imputations", "kernel_id": "20462312"}, {"ref": "jieshends2020/house-prices-stacked-models", "kernel_id": "20352827"}, {"ref": "stuartsul/ames-house-price-prediction", "kernel_id": "20792421"}, {"ref": "stuartsul/ames-house-price-prediction-stacked-regression", "kernel_id": "20984346"}, {"ref": "aniketmane343/house-prices-advanced-regression-techniques", "kernel_id": "20792723"}, {"ref": "comman/house-price-prediction", "kernel_id": "20897427"}, {"ref": "bibhabasumohapatra/ensemble-experiments-with-ensembles", "kernel_id": "20310305"}, {"ref": "avi111297/house-price-prediction-include-all-ml-steps", "kernel_id": "20730276"}, {"ref": "kowshirbitto/ml-eda-feature-engineering-models-prediction", "kernel_id": "20267971"}, {"ref": "joacobembhy/house-pricing-codealong", "kernel_id": "20008331"}, {"ref": "firefortysix/exercise-intro-to-automl", "kernel_id": "20250299"}, {"ref": "mireillemegnidio/feature-engineering-for-house-prices", "kernel_id": "20236034"}, {"ref": "zrosen3/housing-prices-rosen", "kernel_id": "20507328"}, {"ref": "suprematism/ml-house-prices-top-7-encoding-techniques", "kernel_id": "20787033"}, {"ref": "suprematism/eda-visualisation-techniques", "kernel_id": "20933808"}, {"ref": "shubhamsalokhe/house-price-advance-regression", "kernel_id": "20604175"}, {"ref": "muhmoudshehata/price-predict", "kernel_id": "20950344"}, {"ref": "muhmoudshehata/house-prices-simple-one", "kernel_id": "20951457"}, {"ref": "thirdeyecyborg/house-price-rfe-pca", "kernel_id": "20402626"}, {"ref": "ghazalkheyroddin/house-price-ensemble-learning-beginner-friendly", "kernel_id": "20156970"}, {"ref": "kobeerose/house-prices-a-beginner-s-notebook", "kernel_id": "20796867"}, {"ref": "kelizatoh/house-prices-advanced-regression-competition", "kernel_id": "20486070"}, {"ref": "kelizatoh/house-prices-advanced-regression-competition-mlr", "kernel_id": "20642549"}, {"ref": "kelizatoh/house-prices-advanced-regression-competition-rfr", "kernel_id": "20644964"}, {"ref": "kelizatoh/house-prices-advanced-regression-competition-lgbm", "kernel_id": "20832418"}, {"ref": "kelizatoh/house-prices-advanced-regression-competition-rfgb", "kernel_id": "20801903"}, {"ref": "thbalaji/day-17", "kernel_id": "20339835"}, {"ref": "mohmedmousa/house-price-prediction-5a68deed3d", "kernel_id": "20688153"}, {"ref": "david55555/housing-prices-base", "kernel_id": "20677258"}, {"ref": "amrabuzeid/feature-engineering-for-house-prices", "kernel_id": "20487854"}, {"ref": "sameer1502/eda-advanced-house-prediction", "kernel_id": "20708302"}, {"ref": "luongduongminh/best-score-use-this-notebook", "kernel_id": "20922162"}, {"ref": "mazenramadan/stroke-predictions-eda-classification", "kernel_id": "20793958"}, {"ref": "mazenramadan/predicting-houses-prices-using-regression-models", "kernel_id": "20322363"}, {"ref": "saharpourahmad/filoger-week-4-2-ames-house-price", "kernel_id": "20580593"}, {"ref": "yujiefu0316/feature-engineerings-and-predictions", "kernel_id": "20576071"}, {"ref": "cjas001/makathon-nlp-v1", "kernel_id": "20880006"}, {"ref": "alexandrasciocchetti/housing-prediction-w-pipeline-ensemble-methods", "kernel_id": "20959987"}, {"ref": "akshayr009/randomforestregressorhouse-pre", "kernel_id": "20542442"}, {"ref": "diogodiogo/predicting-house-prices-with-linear-regression", "kernel_id": "20813672"}, {"ref": "xavier001/linear-regression-homework", "kernel_id": "20509225"}, {"ref": "milangabriel/xgb-regressor-grid-search-cv", "kernel_id": "20647075"}, {"ref": "palizu/house-prices-eda-features-engineering", "kernel_id": "20933423"}, {"ref": "hycho0/housing-price-prediction", "kernel_id": "20236742"}, {"ref": "roihezkiyahu/feature-engineering-for-house-prices", "kernel_id": "20647451"}, {"ref": "anirbansarkar823/house-prices-advanced-regression-techniques", "kernel_id": "20405818"}, {"ref": "renatodepes/house-prices-ridge-lasso-and-elastic-net", "kernel_id": "20746030"}, {"ref": "udeshchathumal/house-prediction", "kernel_id": "20810470"}, {"ref": "peeushthedeveloper/predict-sale-price-using-simple-regression", "kernel_id": "20433696"}, {"ref": "iffishells/housingpriceprediction-01", "kernel_id": "20329494"}, {"ref": "hrishikeshbhandarkar/price-prediction-using-deep-learning-01", "kernel_id": "20509796"}, {"ref": "xuantnguyen/datawiki-kindergarten-ml-with-python", "kernel_id": "20778145"}, {"ref": "cafelatte1/housing-price-prediction-and-eda-top-12", "kernel_id": "20705423"}, {"ref": "shichaoming/shichaoming-201943407", "kernel_id": "20073345"}, {"ref": "anikamim/house-price-prediction", "kernel_id": "20279761"}, {"ref": "sazidnur/house-pricing-predictions", "kernel_id": "20260644"}, {"ref": "shefalishettyy/different-way-of-handling-missing-values", "kernel_id": "20046310"}, {"ref": "shefalishettyy/one-hot-encoding-label-encoding", "kernel_id": "20062344"}, {"ref": "alanmatsutani/1-house-prices", "kernel_id": "20650856"}, {"ref": "zjackwang/housing-prices-regression", "kernel_id": "20407724"}, {"ref": "zjackwang/house-price-regression-ridge-v-lasso", "kernel_id": "20408229"}, {"ref": "buyuknacar/house-price-regression", "kernel_id": "20625455"}, {"ref": "aksharavenkatesh/prediction-sales-prices-for-houses-in-iowa", "kernel_id": "20264460"}, {"ref": "ashishjohnstanley/house-sale-price-prediction-randomforestregresso", "kernel_id": "20432397"}, {"ref": "roxysj/house-prices-eda-roxanne", "kernel_id": "20090325"}, {"ref": "staeros/notebook29837e9015", "kernel_id": "20751838"}, {"ref": "maxdiazbattan/house-prices-top-4", "kernel_id": "20868356"}, {"ref": "tarushikhasharma/house-prices1", "kernel_id": "20464378"}, {"ref": "maxlutz09/house-price-regression-article", "kernel_id": "20145404"}, {"ref": "wxixi123/wanglijie-201943398", "kernel_id": "20098253"}, {"ref": "gaganmaahi224/top-30-houseprice-prediction-with-auto-eval-ml", "kernel_id": "20858950"}, {"ref": "digvijaykatoch/house-pricing-1", "kernel_id": "20498711"}, {"ref": "gerelbattumenjargal/kaggle-eda", "kernel_id": "20438391"}, {"ref": "mahmoudafify/end-to-end-regression-model", "kernel_id": "20505788"}, {"ref": "valentinzastrozhny/house-pricing-neural-network", "kernel_id": "20329862"}, {"ref": "ajayuser/simple-house-price-pipeline", "kernel_id": "20792731"}, {"ref": "galialadiray/feature-engineering-for-house-prices", "kernel_id": "20103532"}, {"ref": "nagaev1904/regression-problem-house-pricing", "kernel_id": "20331535"}, {"ref": "rafihatubello/house-price-prediction", "kernel_id": "20641976"}, {"ref": "rafihatubello/housepriceprediction", "kernel_id": "20132203"}, {"ref": "arunmuthukumar/lab-3-question-3", "kernel_id": "20698790"}, {"ref": "zhuzi12138/zhangzizhu", "kernel_id": "20204334"}, {"ref": "vivian19/lijiayu-201943391", "kernel_id": "20073037"}, {"ref": "aftab23/house-prices-regression", "kernel_id": "20420564"}, {"ref": "alexeykolobyanin/house-prices-nusvr-sklearn-intelex-4x-speedup", "kernel_id": "20078003"}, {"ref": "adarshroy/notebook3e348fbda2", "kernel_id": "20050055"}, {"ref": "manishsharma448/houseprice-regression", "kernel_id": "20638917"}, {"ref": "manishsharma448/house-price-pred-lasso", "kernel_id": "20474593"}, {"ref": "konstantinsuloevjr/regression-eda-rf", "kernel_id": "20997308"}, {"ref": "ayaelshazly/house-prices", "kernel_id": "20513562"}, {"ref": "heliksmersenburg/house-prices-descri-o-em-portugu-s", "kernel_id": "20624532"}, {"ref": "sylvainmartinez/kaggle-house-price-analysis", "kernel_id": "20406659"}, {"ref": "ibrahimyassen17/notebook8567175eff", "kernel_id": "20258324"}, {"ref": "amitchowdhury2475/house-price", "kernel_id": "20267486"}, {"ref": "shoroouqalshal/house-prices-for-beginners", "kernel_id": "20874742"}, {"ref": "zohaibkhan5040/end-to-end-house-pricing-regression", "kernel_id": "20049724"}, {"ref": "obeykhadija/predicting-house-prices", "kernel_id": "20330514"}, {"ref": "soosutn/challenge-house-prices", "kernel_id": "20237702"}, {"ref": "shushrutsharma/house-price-prediction-eda-xgbregressor", "kernel_id": "20568446"}, {"ref": "rhythmcam/automl-pycaret-regressor-house-price", "kernel_id": "20555372"}, {"ref": "k589k589/houseprice-xgb-mandarin", "kernel_id": "20432210"}, {"ref": "mahmoudabdullah99/house-prices-advanced-version-1", "kernel_id": "20444892"}, {"ref": "harshashesh/using-regularization", "kernel_id": "20560069"}, {"ref": "prabhamelady/house-price-prediction-eda-fe-fs-1", "kernel_id": "20318910"}, {"ref": "prabhamelady/house-price-prediction-model-training-2", "kernel_id": "20318982"}, {"ref": "manishguptads/exercise-intro-to-automl", "kernel_id": "20003291"}, {"ref": "manishguptads/feature-engineering-for-house-prices", "kernel_id": "20095725"}, {"ref": "gayathripriyakesana/eda-unemployment-in-india", "kernel_id": "20480917"}, {"ref": "siyuwan11/house-price-prediction-stacking-model", "kernel_id": "20984869"}, {"ref": "themehakagrawal/house-prices-advanced-regression-techniques", "kernel_id": "20187971"}, {"ref": "krutirastogi/first", "kernel_id": "20974154"}, {"ref": "cavfiumella/predict-house-sale-price-trees-and-svm", "kernel_id": "20310000"}, {"ref": "cavfiumella/predict-house-sale-price-mlp", "kernel_id": "20415918"}, {"ref": "rajsankargs/house-price-prediction", "kernel_id": "20427032"}, {"ref": "derrick01/derrik-ou", "kernel_id": "20968158"}, {"ref": "fadyelkbeer/house-prices-linearregression", "kernel_id": "20112721"}, {"ref": "govind2003/housing-price-1v", "kernel_id": "20577336"}, {"ref": "prantapaul181352448/house-price-predict", "kernel_id": "20265447"}, {"ref": "maxibusch/notebook3061b9f26a", "kernel_id": "20826701"}, {"ref": "urmiadak/notebookd582c5a5eb", "kernel_id": "20372952"}, {"ref": "ignacioporras/house-prices-adv-reg-tech", "kernel_id": "20776721"}, {"ref": "sathishpbs/house-price-prediction", "kernel_id": "20546090"}, {"ref": "regexsoftwareservice/notebook6e198c1b30", "kernel_id": "20886427"}, {"ref": "maxcohen31/house-prices-xgboost", "kernel_id": "20861342"}, {"ref": "kalpikhamogha/house-price-prediction", "kernel_id": "20318578"}, {"ref": "jonofields/house-prices-v-2", "kernel_id": "20994067"}, {"ref": "jonofields/housing-prices", "kernel_id": "20585149"}, {"ref": "mostafaalaa123/simple-house-prediction", "kernel_id": "20707280"}, {"ref": "billyfeng/house-price-test", "kernel_id": "20389571"}, {"ref": "sakshichavan13/notebook-house-price-prediction", "kernel_id": "20426222"}, {"ref": "loganjames1/housing-prices-rd-3", "kernel_id": "20668568"}, {"ref": "shahnawaj7/house-price-main", "kernel_id": "20370501"}, {"ref": "hughcowley/basic-linear-regression-1", "kernel_id": "20526383"}, {"ref": "hughcowley/basic-linear-regression-2", "kernel_id": "20528564"}, {"ref": "kmanojreddy/notebookb66727aeff", "kernel_id": "20419911"}, {"ref": "litvinovevgeny/house-prices-starter", "kernel_id": "20240986"}, {"ref": "jlg17373/house-price-regression-in-python", "kernel_id": "20119177"}, {"ref": "syerwin/house-prices-prediction", "kernel_id": "20617021"}, {"ref": "jihyekimann/house-price-preprocessing-ols", "kernel_id": "20296682"}, {"ref": "malnedellec/house-price-eda-prediction", "kernel_id": "20208440"}, {"ref": "kumudsingh9/house-price-competition-advanced-reg-improved", "kernel_id": "20488811"}, {"ref": "kumudsingh9/house-prices-adv-reg-feature-engg-competition", "kernel_id": "20449434"}, {"ref": "mhdi1380/house-prices-xgboost-hyperparameter-tuning", "kernel_id": "20876931"}, {"ref": "khule28/house-price-prediction-lasso-ridge", "kernel_id": "20174215"}, {"ref": "khule28/house-price-prediction-using-xg-boosting", "kernel_id": "20021372"}, {"ref": "khule28/notebook96f2874a5f", "kernel_id": "20016238"}, {"ref": "avinashk7/notebook800017618a", "kernel_id": "20444493"}, {"ref": "sanskarpareek14/house-price-prediction", "kernel_id": "20509930"}, {"ref": "leonardoalmeida6/notebook-md", "kernel_id": "20893670"}, {"ref": "mmilli/house-prices-model1", "kernel_id": "20461493"}, {"ref": "uniuniu/house-prices", "kernel_id": "20884247"}, {"ref": "lildatascientist/decision-tree-and-random-forest-from-scratch", "kernel_id": "20036909"}, {"ref": "lildatascientist/logistic-regression-from-scratch", "kernel_id": "20064853"}, {"ref": "lildatascientist/linear-regression-from-scratch", "kernel_id": "20066221"}, {"ref": "yassinezarwal/functinal", "kernel_id": "20442624"}, {"ref": "ryzhkovilya/house-price-200place", "kernel_id": "20287387"}, {"ref": "yabry1/house-prices-regression", "kernel_id": "20319683"}, {"ref": "mohsenpg/advanced-regression", "kernel_id": "20417007"}, {"ref": "gauravbhogale/assignment-7-2", "kernel_id": "20413268"}, {"ref": "oracle444/competition-house-prices", "kernel_id": "20723597"}, {"ref": "vivianandrade/house-price-evaluation-xgboost-with-features", "kernel_id": "20112483"}, {"ref": "mohamedabojabal/house-pricing-predictions-lasso-ridge", "kernel_id": "20121169"}, {"ref": "abdelrhmannabil97/trial", "kernel_id": "20174409"}, {"ref": "aboudaladdin/linear-regression-with-ridge-cv", "kernel_id": "20189472"}, {"ref": "chrisjlim/house-prices-predictions-using-xgboost", "kernel_id": "20725767"}, {"ref": "amrahmedsaeed/ml1-linear-regression-house-prices", "kernel_id": "20183204"}, {"ref": "wenjiangxiang/assignment1-mma-867", "kernel_id": "20070385"}, {"ref": "anaarantesbarros/begginer-guide-to-machine-learning", "kernel_id": "20409132"}, {"ref": "achint123/housing-price-analytics-lasso-ridge", "kernel_id": "20043724"}, {"ref": "sajjadnajafi/data-preparation-house-prices", "kernel_id": "20602552"}, {"ref": "mahyamahjoob/regularization-techniques", "kernel_id": "20588250"}, {"ref": "mahyamahjoob/advance-house-price-prediction", "kernel_id": "20605111"}, {"ref": "sickblad/house-prices-advanced-regression-techniques-sub", "kernel_id": "20220757"}, {"ref": "vsevolodkachan/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "20462113"}, {"ref": "saumilagrawal10/house-price-prediction", "kernel_id": "20598687"}, {"ref": "nanomer/house-prices-xgboost-attempt", "kernel_id": "20409032"}, {"ref": "nanomer/house-price-regression-ridge-lasso-xgb", "kernel_id": "20409197"}, {"ref": "paulamaran/simultaneous-imputation-cat-num-data", "kernel_id": "20539392"}, {"ref": "richamahajan/house-price-stacked-regression-top-3", "kernel_id": "20151187"}, {"ref": "aryaaryan/house-price-what-factors-make-people-pay-more", "kernel_id": "20345954"}, {"ref": "poojakumari2329/pooja-kumari-sirss2329-task-7-2", "kernel_id": "20426425"}, {"ref": "vladzhurkin/notebook-lab6", "kernel_id": "20206960"}, {"ref": "thaisalves/house-price-prediction-using-regression", "kernel_id": "20236772"}, {"ref": "vgtgayan/house-price-prediction", "kernel_id": "20424590"}, {"ref": "deagleowl99/houseprice-regression", "kernel_id": "20705461"}, {"ref": "deagleowl99/houseprice-regression-with-neural-network", "kernel_id": "20740831"}, {"ref": "nethanael/mla2-tarea-3-house-prices", "kernel_id": "20697632"}, {"ref": "aayush031/notebookf661206661", "kernel_id": "20270201"}, {"ref": "aayush031/notebook0b3e6574f3", "kernel_id": "20269929"}, {"ref": "aayush031/notebookc977eb72d0", "kernel_id": "20286606"}, {"ref": "sampathweb/housing-prices-starter", "kernel_id": "20333721"}, {"ref": "amitkumar2309/notebook0259df80fc", "kernel_id": "20369488"}, {"ref": "cheneblanc/getting-started-with-notebook-in-a-competition", "kernel_id": "20371760"}, {"ref": "rohiniselvaraj0107/house-price-prediction-using-regression-models", "kernel_id": "20899549"}, {"ref": "sangyeounlee/house-price-expectation", "kernel_id": "20394338"}, {"ref": "cir2001/house-prices-adv-regression-completed-top-30", "kernel_id": "20859550"}, {"ref": "jacobadeutsch/460j-lab2-q4", "kernel_id": "20406763"}, {"ref": "irinel01/exercise-intro-to-automl", "kernel_id": "20554394"}, {"ref": "badalsingh0049/badal-sirss2334-task-7-2-regex-work", "kernel_id": "20427063"}, {"ref": "youngguebae/yg-house-price-prediction", "kernel_id": "20585846"}, {"ref": "arjunsharmasharma/lab-2-dslab", "kernel_id": "20515656"}, {"ref": "maxwithrow/ds-lab-3-underfit-model", "kernel_id": "20516829"}, {"ref": "maxwithrow/ds-lab-lab-3", "kernel_id": "20694289"}, {"ref": "datarohitingole/price-prediction-using-nusvr-and-optuna", "kernel_id": "20702908"}, {"ref": "datarohitingole/price-prediction-using-catboostregressor-and-kfold", "kernel_id": "20693990"}, {"ref": "datarohitingole/price-prediction-using-gradientboostingclassifier", "kernel_id": "20693520"}, {"ref": "datarohitingole/house-price-prediction-xgb-model", "kernel_id": "20687819"}, {"ref": "datavisuals/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20569407"}, {"ref": "antoninabugayova/2021-3", "kernel_id": "20997264"}, {"ref": "antoninabugayova/11111-2", "kernel_id": "20973577"}, {"ref": "grakercharms/house-price-regress", "kernel_id": "20594004"}, {"ref": "lllchak/house-price-prediction-stacked-model", "kernel_id": "20636224"}, {"ref": "elliotwyman/housing-prices-advanced-regression", "kernel_id": "20870478"}, {"ref": "yagyeshb/housing-price-prediction-competition", "kernel_id": "20891339"}, {"ref": "yoonseul/basic-prediction-with-using-lgbmregressor", "kernel_id": "20804885"}, {"ref": "ralfheidig/predicting-house-prices-with-linear-regression", "kernel_id": "20927551"}, {"ref": "slb1992/house-prices-linear-regression-models", "kernel_id": "20978392"}, {"ref": "nwuvani/nwu-regression-models", "kernel_id": "20871024"}, {"ref": "kalpanadas/house-prices-advanced-regression-techniques", "kernel_id": "20944960"}, {"ref": "sris26kush/house-price-prediction", "kernel_id": "20965445"}, {"ref": "mkldhz/house-prices-predictions-using-optimized-ensemble", "kernel_id": "20972043"}, {"ref": "filterjoe/house-price-feature-engineering-using-only-xgboost", "kernel_id": "21019479"}, {"ref": "prashanth12kaggle/linear-regression-from-scratch-gradient-descent", "kernel_id": "21282310"}, {"ref": "zhangk15/data-analysis-for-house-price", "kernel_id": "21570645"}, {"ref": "lelpresidente/house-price-ensemble-model-with-detailed-eda", "kernel_id": "21798062"}, {"ref": "blighpark/py-t1-4-bligh-park", "kernel_id": "21587749"}, {"ref": "nathanbruzat/esd-data-marketing", "kernel_id": "21342744"}, {"ref": "fanbyprinciple/improving-prediction-score-on-housing-prices", "kernel_id": "21001637"}, {"ref": "mynamesp/data-engineer-and-random-forest", "kernel_id": "21900409"}, {"ref": "dndus9600/py-t1-4-clederon", "kernel_id": "21588610"}, {"ref": "uniquekale/predicting-sales-price", "kernel_id": "21903893"}, {"ref": "heokw815/py-t1-4-kh-heo", "kernel_id": "21579830"}, {"ref": "agileteam/py-t1-4-expected-questions", "kernel_id": "21160350"}, {"ref": "stevenherrera/houseprices-stevenh", "kernel_id": "21332313"}, {"ref": "tianyilt/linear-regression-from-scratch-gradient-descent", "kernel_id": "21488739"}, {"ref": "zqm988/itds-14", "kernel_id": "21285693"}, {"ref": "schopenhacker75/eda-customtransformer-xgb", "kernel_id": "21426132"}, {"ref": "positivehun/py-t1-4-expected-questions", "kernel_id": "21587497"}, {"ref": "harsimranvirk/house-prices", "kernel_id": "21566652"}, {"ref": "rushabh7cr/house-prices", "kernel_id": "21225512"}, {"ref": "wltjd54/py-t1-4-expected-questions", "kernel_id": "21664170"}, {"ref": "sonalisingh1411/price-prediction-train-test-data-analysis", "kernel_id": "21491661"}, {"ref": "mohamedalaa42017/house-prices-advanced-regression-techniques", "kernel_id": "21537384"}, {"ref": "mfarhi/xgboost-optuna", "kernel_id": "21941484"}, {"ref": "henjoyy/py-t1-4-expected-questions", "kernel_id": "21700218"}, {"ref": "alibekov716/robt407-task4", "kernel_id": "21449821"}, {"ref": "maricinnamon/house-prices-regression-sklearn", "kernel_id": "21144240"}, {"ref": "hughsmith11/ames-house-prices", "kernel_id": "21402638"}, {"ref": "kotcha/house-prices-regression-predict", "kernel_id": "21991380"}, {"ref": "carlmcbrideellis/predict-house-prices-using-h2o-ai-regression", "kernel_id": "21393210"}, {"ref": "arootda/eda-fe-stacking-for-beginner-top-4", "kernel_id": "21160897"}, {"ref": "omniasaeed/assignment-2-omnia-saeed-18102396", "kernel_id": "21947275"}, {"ref": "alveehoque/housing-data-xgb", "kernel_id": "21238681"}, {"ref": "ingloriamori/data-handling-notebook", "kernel_id": "21406261"}, {"ref": "carltowers/house-prices-part-1-preprocessing", "kernel_id": "21547817"}, {"ref": "carltowers/house-prices-p2-tensorflow-model", "kernel_id": "21562380"}, {"ref": "dmitryzaykov/gradientboostingregressor-0-15", "kernel_id": "21209585"}, {"ref": "ericliu365/house-price-common-models-stacking-voting-and-nn", "kernel_id": "21837258"}, {"ref": "damoonshahhosseini/code-with-us", "kernel_id": "21262934"}, {"ref": "fredericodalsoglio/aplicacao-modelos-de-regressao", "kernel_id": "21040790"}, {"ref": "jayshworkhadka/houseprice-use-transform-pipeline", "kernel_id": "21257920"}, {"ref": "dwijendranathsahoo/eda-baseline-models-adv-houseprice-pred", "kernel_id": "21135916"}, {"ref": "pradneshlachake/multiple-linear-regression-and-regularization", "kernel_id": "21163083"}, {"ref": "mrunalbhamare/house-price-prediction-linearreg-and-random-forest", "kernel_id": "21919764"}, {"ref": "imchentouf/house-prediction-prices-eda-modeling", "kernel_id": "21041133"}, {"ref": "bextuychiev/model-explainability-with-shap-only-guide-u-need", "kernel_id": "21050276"}, {"ref": "bextuychiev/how-to-touch-into-heart-of-matplotlib-a-create", "kernel_id": "21143773"}, {"ref": "bextuychiev/25-numpy-functions-you-never-knew-existed", "kernel_id": "21336444"}, {"ref": "vuongnguyen1122000/house-prices-eda-model-tuning", "kernel_id": "21276221"}, {"ref": "sethirishabh/beginner-eda-and-xgboost-on-house-prices", "kernel_id": "21124477"}, {"ref": "rameshkumarmojjada/houses-prices-complete-solution", "kernel_id": "21422209"}, {"ref": "dangnm9699/house-price-prediction-complete-beginner-guide", "kernel_id": "21287397"}, {"ref": "ohseokkim/linear-nonlinear-scaling", "kernel_id": "21379157"}, {"ref": "ohseokkim/preprocessing-encoding-categorical-data", "kernel_id": "21470139"}, {"ref": "ohseokkim/creditcard-fraud-balance-is-key-feat-pycaret", "kernel_id": "21427437"}, {"ref": "ohseokkim/house-prices-are-you-a-real-estate-agent", "kernel_id": "21917892"}, {"ref": "dmitryfomkin/house-price-predict-with-gridsearchcv", "kernel_id": "21025489"}, {"ref": "mohamedherradi/gradient-boosting-regression", "kernel_id": "21766190"}, {"ref": "yarribryn/xgb-submission-v2", "kernel_id": "21195000"}, {"ref": "rvkarma/regression-models", "kernel_id": "21026358"}, {"ref": "jirkaborovec/house-prices-predictions-with-lightning-flash", "kernel_id": "21786141"}, {"ref": "bhavinmoriya/xgboost", "kernel_id": "21542876"}, {"ref": "pathanamjadkhan/eda-fe-topmodel-xgboost-lg-blend", "kernel_id": "21449219"}, {"ref": "pathanamjadkhan/house-prices1", "kernel_id": "21381460"}, {"ref": "abdelrahmankhalil/house-price-prediction", "kernel_id": "21919891"}, {"ref": "tracyporter/r9-house-prices-udemy-remove-outliers", "kernel_id": "21810289"}, {"ref": "tracyporter/r9-house-prices-udemy-robust-scale-improve", "kernel_id": "21492846"}, {"ref": "tracyporter/r9-house-prices-udemy-improve", "kernel_id": "21408679"}, {"ref": "limweixuan1994/housing-prices-predictions", "kernel_id": "21912747"}, {"ref": "pujasree/poojasree-notebook", "kernel_id": "21158624"}, {"ref": "tomasroldanborjas/complete-approach-on-house-prices-using-tutorials", "kernel_id": "21267119"}, {"ref": "iravad/eda-feature-engg-for-beginners-house-price", "kernel_id": "21682316"}, {"ref": "mohsinchaudhary/house-prices-advanced-regression-eda-fe-modeling", "kernel_id": "21443068"}, {"ref": "dineshkumaranbalagan/house-price-prediction", "kernel_id": "21169558"}, {"ref": "suhailarfaath/house-price-prediction-by-suhail", "kernel_id": "21246606"}, {"ref": "farizhaykal/house-prices-eda-pipeline-stacking", "kernel_id": "21308340"}, {"ref": "fernandapratama/house-prices-using-linear-models", "kernel_id": "21639429"}, {"ref": "hamzaghnaim/firstcomp", "kernel_id": "21923372"}, {"ref": "pavankumar017/house-prices-prediction-simple-model-blendingtop5", "kernel_id": "21746477"}, {"ref": "wangbingjie/houseprices", "kernel_id": "21118776"}, {"ref": "isyedsalmanali/house-price-predictions", "kernel_id": "21372195"}, {"ref": "tantable/inspired-house-price-regression", "kernel_id": "21477112"}, {"ref": "tantable/house-price-regression-comp-top-10-result", "kernel_id": "21848637"}, {"ref": "ashic31/house-price-prediction", "kernel_id": "21886415"}, {"ref": "kelizatoh/house-prices-regression-tabularautoml", "kernel_id": "21016792"}, {"ref": "kelizatoh/house-prices-regression-lightautoml", "kernel_id": "21017136"}, {"ref": "neginnnn/notebookddd1bba846", "kernel_id": "21322506"}, {"ref": "sisharaneranjana/house-price-prediction-advanced-analysis", "kernel_id": "21728268"}, {"ref": "miguelfzzz/house-price-prediction-lasso-ridge-and-more", "kernel_id": "21021439"}, {"ref": "tomods/eda-visuarization-of-houseprice", "kernel_id": "21322872"}, {"ref": "tenzintsundue/house-prediction", "kernel_id": "21272040"}, {"ref": "amishra527/comprehensive-data-exploration-with-python", "kernel_id": "21703154"}, {"ref": "amishra527/house-prices", "kernel_id": "21353718"}, {"ref": "sudipg411/data-exploration-visualization", "kernel_id": "21105882"}, {"ref": "subodhbharadwaj/house-price-prediction-advanced-regression", "kernel_id": "21499076"}, {"ref": "xholisilemantshongo/house-prices-intel-extensions", "kernel_id": "21964176"}, {"ref": "hyojungshin/py-t1-4-expected-questions", "kernel_id": "21657084"}, {"ref": "aliyaya/submitting-from-a-kernel", "kernel_id": "21553964"}, {"ref": "mikals/house-prices-prediction", "kernel_id": "21299412"}, {"ref": "pkurlak/house-prices-ml-hw", "kernel_id": "21686413"}, {"ref": "morganamacedo/trabalho-am-predicaoprecosimoveis-dma", "kernel_id": "21000206"}, {"ref": "ibrahimmaher/assignment-2-e-2", "kernel_id": "21948102"}, {"ref": "georgesaavedra/house-sales-prediction-competition", "kernel_id": "21974051"}, {"ref": "pradipwasre/house-price-regression-pipeline", "kernel_id": "21779399"}, {"ref": "hoikinyu/house-prices-forecasting-neural-networks-model", "kernel_id": "21221000"}, {"ref": "dabour/ridge", "kernel_id": "21874670"}, {"ref": "maximnelin/advance-house-price-prediction-russian", "kernel_id": "21016378"}, {"ref": "yongjoonchang/py-t1-4-expected-questions", "kernel_id": "21588957"}, {"ref": "nandajabar/workshop-let-s-learn-data-science", "kernel_id": "21437225"}, {"ref": "yanadav/eda-preprocessing-linear-regression", "kernel_id": "21421654"}, {"ref": "timothydhong/housing-prices-xgboost-with-rfe", "kernel_id": "21064852"}, {"ref": "abdomohd/house-prices-prediction", "kernel_id": "21126151"}, {"ref": "aditya01233/feature-engineering-aditya", "kernel_id": "21756965"}, {"ref": "juliorsleite/houseprices-xgboost-pipeline-randomscan", "kernel_id": "21544315"}, {"ref": "moxxis/house-prices", "kernel_id": "21813008"}, {"ref": "gaganmaahi224/automation-of-eda-self-written-code", "kernel_id": "21799917"}, {"ref": "gaganmaahi224/automation-of-matplotlib-self-written-code", "kernel_id": "21838114"}, {"ref": "gaganmaahi224/introduction-automation-of-null-value-treatment", "kernel_id": "21908174"}, {"ref": "gaganmaahi224/seaborn-tutorial-17-plots", "kernel_id": "21560388"}, {"ref": "gaganmaahi224/4-auto-eda-and-3-auto-ml-libraries", "kernel_id": "21397239"}, {"ref": "starkkang/tensorflow-randomforest-with-regression", "kernel_id": "21002504"}, {"ref": "une510/ames-visualization-prediction-0-1345", "kernel_id": "21838574"}, {"ref": "mohamedelsrogy/xgboost-feature-selection-quick-eda", "kernel_id": "21930464"}, {"ref": "rafihatubello/fork-of-house-price-prediction", "kernel_id": "21283442"}, {"ref": "saifmagdy/notebookf82b0b4f0c", "kernel_id": "21993811"}, {"ref": "nandishjani/house-prices-prediction-rf-xgb", "kernel_id": "21745354"}, {"ref": "agleev/only-data-pre-processing", "kernel_id": "21963248"}, {"ref": "sandeeprajbeta/house-price-prediction", "kernel_id": "21305895"}, {"ref": "flafuji/house-prices-eda-catboost-regressions", "kernel_id": "21860121"}, {"ref": "flafuji/a-brief-overview-of-house-prices-catboost", "kernel_id": "21792987"}, {"ref": "tapendrakumar09/data-visualisation-and-ridge-regression", "kernel_id": "21322631"}, {"ref": "mdafeef/house-prices-regression", "kernel_id": "21277764"}, {"ref": "petarjeroncic/house-prices-advanced-regression-challenge", "kernel_id": "21790834"}, {"ref": "rhythmcam/house-price-auto-pipeline-svm", "kernel_id": "21914047"}, {"ref": "rhythmcam/function-get-non-na-column-list", "kernel_id": "21914628"}, {"ref": "rhythmcam/house-price-h2o-automl-prediction", "kernel_id": "21898221"}, {"ref": "rhythmcam/price-house-mljar-automl-minmaxscaler", "kernel_id": "21939884"}, {"ref": "lydiaryu/py-t1-4-expected-question", "kernel_id": "21659360"}, {"ref": "matheusmoretti/house-competition", "kernel_id": "21234222"}, {"ref": "yazanmajzob/catboost-model", "kernel_id": "21906777"}, {"ref": "markosthabit/assignment-house-price-prediction", "kernel_id": "21947828"}, {"ref": "jaipawar/house-price-linear-regression", "kernel_id": "21249650"}, {"ref": "mohamedlamgarraj/house-prices-pr-diction-regression-techniques", "kernel_id": "21477483"}, {"ref": "azadehizadi/housepricecompetition", "kernel_id": "21246821"}, {"ref": "kagglekkyn/house-price-regression", "kernel_id": "21079769"}, {"ref": "mrinmoymdutta/house-prices-prediction", "kernel_id": "21594110"}, {"ref": "deepakkumargunjetti/introduction-to-linear-regression", "kernel_id": "21340240"}, {"ref": "deepakkumargunjetti/introduction-to-elastic-net-regression", "kernel_id": "21704462"}, {"ref": "deepakkumargunjetti/introduction-to-lasso-regression", "kernel_id": "21699889"}, {"ref": "deepakkumargunjetti/introduction-to-ridge-regression", "kernel_id": "21654874"}, {"ref": "marionascitini/mn-regression-project", "kernel_id": "21571663"}, {"ref": "wumingyang/automl-introduction-for-beginner", "kernel_id": "21580646"}, {"ref": "samarebrahim/assignment-2", "kernel_id": "21934856"}, {"ref": "annibamwenda/house-price-prediction-project", "kernel_id": "21540779"}, {"ref": "himanshowe/house-prediction", "kernel_id": "21030681"}, {"ref": "haushirley/house-price-prediction-regression-python", "kernel_id": "21729080"}, {"ref": "samwong127/house-price-prediction-by-property-agency", "kernel_id": "21824108"}, {"ref": "profahmadhussein2010/house-prices1", "kernel_id": "21526333"}, {"ref": "nafishamoin/house-price-with-ridge-regression", "kernel_id": "21989161"}, {"ref": "lildatascientist/eda-auto-ml-house-prices", "kernel_id": "21106832"}, {"ref": "vipulshukla/practice-1-hpprediction", "kernel_id": "21638874"}, {"ref": "gilbertobernal/house-price-tensorflow-ridgeregression", "kernel_id": "21122607"}, {"ref": "imams2000/eda-advancedhousepricepredict", "kernel_id": "21373029"}, {"ref": "abdelazizhossameldin/assigmnet-2-q2", "kernel_id": "21986698"}, {"ref": "abdelazizhossameldin/assigment-2-q1", "kernel_id": "21985649"}, {"ref": "vladislavzhuravskii/data-preprocessing-stackingregressor-in-pipeline", "kernel_id": "21533532"}, {"ref": "ilijagracanin/house-sales-eda-optuna-xgboost-lasso", "kernel_id": "21500683"}, {"ref": "gavenyeh/my-first-project-house-prices", "kernel_id": "21640146"}, {"ref": "hosseinbehjat/house-price-just-with-categorical-features", "kernel_id": "21495349"}, {"ref": "moonssong/py-t1-4-expected-questions", "kernel_id": "21588102"}, {"ref": "sanjaykrishnasriram/house-price-prediction-a5f3c0", "kernel_id": "21978551"}, {"ref": "salmazakzouk/assignment2-part2", "kernel_id": "21924425"}, {"ref": "yuyougnchan/hp-art-model-stacking-baseline", "kernel_id": "21685813"}, {"ref": "andrewgroves95/housing-prices-regression", "kernel_id": "21349665"}, {"ref": "yadicamilaalmeida/notebook428ba3b11e", "kernel_id": "21537229"}, {"ref": "emre1k/house-prices-lasso-enet-svr-gbr-lgbm-xgb", "kernel_id": "21669261"}, {"ref": "anttrinh/house-prices-regression", "kernel_id": "21854436"}, {"ref": "alexduboiss/ai-ml-week-8-9-homework-house-sales-competition", "kernel_id": "21546214"}, {"ref": "carlossanchezcampos/eda-fe-house-prices-top-10", "kernel_id": "21714295"}, {"ref": "marshallgallatin/updated-feature-engineering-for-house-prices", "kernel_id": "21769737"}, {"ref": "austinelledge/house-prices-top-8-modified", "kernel_id": "21669474"}, {"ref": "anushaendreddy/housing-prices-regression", "kernel_id": "21387922"}, {"ref": "sergeyshevelev/house-price-prediction", "kernel_id": "21100278"}, {"ref": "yeswanthchode/advanced-chymt", "kernel_id": "21209466"}, {"ref": "martinpovda/house-prices", "kernel_id": "21056663"}, {"ref": "ruthgn/top-1-model-interpretation-deployment", "kernel_id": "21603868"}, {"ref": "ruthgn/house-prices-top-8-featengineering-xgb-optuna", "kernel_id": "21480434"}, {"ref": "slavavolkonenkov/house-prices", "kernel_id": "21190875"}, {"ref": "moathmohamed/advanced-house-prices-prediction-99", "kernel_id": "21330520"}, {"ref": "neeleshpratap752/advanced-house-regression", "kernel_id": "21028711"}, {"ref": "ralfheidig/ml-app-hauspreis-vorhersage", "kernel_id": "21075460"}, {"ref": "ayaessam8080/csci417-assignment-2", "kernel_id": "21942846"}, {"ref": "cjinquan/house-price-prediction-python", "kernel_id": "21959423"}, {"ref": "maragarcagirn/house-pricing-competition-mar-a", "kernel_id": "21342986"}, {"ref": "revzkaggle/housepriceprediction", "kernel_id": "21057251"}, {"ref": "marlamelo/tarefaam-predicao-precos-imoveis-com-r", "kernel_id": "21156040"}, {"ref": "georgiydedov/house-price-prediction", "kernel_id": "21115169"}, {"ref": "raezou/houseprice-use-transform-pipeline", "kernel_id": "21006312"}, {"ref": "diegogonzlezlpez/house-pricing-with-regression", "kernel_id": "21536050"}, {"ref": "tinamunamsahoo/exercise-intro-to-automl", "kernel_id": "21046269"}, {"ref": "ruslansikhamov/house-pricing-backward-elimination-and-ann", "kernel_id": "21018637"}, {"ref": "stepanrepin/notebook7a4098379c", "kernel_id": "21745402"}, {"ref": "vladislavvlasenko/notebooka738489ce2", "kernel_id": "21318292"}, {"ref": "vladislavvlasenko/ml-lab-3", "kernel_id": "21294980"}, {"ref": "niloboljay/notebook7d61a4c7d4", "kernel_id": "21297495"}, {"ref": "lynnxy/house-price-feature-selection-with-eda-r2-88", "kernel_id": "21229400"}, {"ref": "akhmadthalibarrifqi/house-prices-xgboost-regression", "kernel_id": "21444393"}, {"ref": "lottoexpecter/py-t1-4-expected-questions", "kernel_id": "21591054"}, {"ref": "grigorypetrov/notebook704acc623a", "kernel_id": "21146969"}, {"ref": "renatzemtsov/house-prices-attempt", "kernel_id": "21412767"}, {"ref": "kseniiaplatunova/house-prices", "kernel_id": "21972370"}, {"ref": "annabelyaeva/lab3belyaeva", "kernel_id": "21122990"}, {"ref": "ildarkhuzin/houseprices", "kernel_id": "21788160"}, {"ref": "limmyoungjin/r-t1-4-expected-questions", "kernel_id": "21368075"}, {"ref": "alexandrpanarin/house-prices", "kernel_id": "21829256"}, {"ref": "shprit/house-price-predicting-system", "kernel_id": "21213137"}, {"ref": "danytq94/house-prices-regression-eda-sklearn", "kernel_id": "21350811"}, {"ref": "polinamaltseva/lr-3-house-prices", "kernel_id": "21743876"}, {"ref": "anujachintyabiswas/house-prediction-using-random-forest-regressor", "kernel_id": "21938191"}, {"ref": "jhmmorgan/house-prices-advanced-regression-techniques", "kernel_id": "21758030"}, {"ref": "propertyagency03/abandoned-approach", "kernel_id": "21895641"}, {"ref": "roblotmathilde/house-prices-using-xgboost", "kernel_id": "21357106"}, {"ref": "sapnakumari14/task-7-2-sapna-kumari-airss1103", "kernel_id": "21322119"}, {"ref": "lobosi/house-pricing-analysis", "kernel_id": "21967542"}, {"ref": "jordyni/house-prices-regression", "kernel_id": "21412508"}, {"ref": "alexylw/first-submission", "kernel_id": "21538925"}, {"ref": "yamyam7/py-t1-4-expected-questions", "kernel_id": "21613805"}, {"ref": "jesse2333/neural-network-price-prediction", "kernel_id": "21644937"}, {"ref": "hyodadak/r-t1-4-expected-questions", "kernel_id": "21698385"}, {"ref": "sukanye/house-test-price", "kernel_id": "21462926"}, {"ref": "sukanye/detailed-eda", "kernel_id": "21462230"}, {"ref": "bangjaein/py-t1-4-expected-questions", "kernel_id": "21588818"}, {"ref": "azurefour/py-t1-4-expected-questions", "kernel_id": "21559821"}, {"ref": "jogejung/py-t1-4", "kernel_id": "21580841"}, {"ref": "georgiymozgunov/simple-linear-regression", "kernel_id": "21760978"}, {"ref": "georgiymozgunov/xgboost-regression", "kernel_id": "21971793"}, {"ref": "ericcaruyer/house-price-feature-engineering", "kernel_id": "21710228"}, {"ref": "haiditarek/notebook6780f84ba7", "kernel_id": "21945975"}, {"ref": "swordros/housing-price-predict", "kernel_id": "21607021"}, {"ref": "jeonginah/py-t1-4-expected-questions", "kernel_id": "21704283"}, {"ref": "falmian/house-prices-top-8-featengineering-xgb-optuna", "kernel_id": "21642484"}, {"ref": "srigovind303/house-prices-lasso-enet-svr-gbr-lgbm-xgb", "kernel_id": "21686042"}, {"ref": "lecognecedric/ridge-regression", "kernel_id": "21789134"}, {"ref": "maximolifer/house-prices", "kernel_id": "21860330"}, {"ref": "marammoustafa/prediction", "kernel_id": "21947504"}, {"ref": "marammoustafa/assignment-2", "kernel_id": "21947087"}, {"ref": "marammoustafa/house-prices-advanced-regression-techniques", "kernel_id": "21946994"}, {"ref": "maxbruchowski/house-price-code", "kernel_id": "21786639"}, {"ref": "gizemdemirz/makine-renimi", "kernel_id": "21830964"}, {"ref": "hanyang123456/kaggle", "kernel_id": "21873858"}, {"ref": "denisdudakov/notebookb1fd00607b", "kernel_id": "21876314"}, {"ref": "hossamahmedelsayed/notebookf71a040441", "kernel_id": "21857600"}, {"ref": "daniellee1213/team2-kaggle-notebook", "kernel_id": "21906466"}, {"ref": "prabhjotkaursethi/house-price-prediction-ridge-and-lasso", "kernel_id": "21912819"}, {"ref": "sandraezzat/csci417-house-prediction", "kernel_id": "21948147"}, {"ref": "mohamedkahla/house-prices", "kernel_id": "21947465"}, {"ref": "youssefhosamm/notebookdbdf11329c", "kernel_id": "21989813"}, {"ref": "sakurakh/ass2-ml", "kernel_id": "21947047"}, {"ref": "domoldo/python-random-forest-gmu-dscs-nov-21", "kernel_id": "22069402"}, {"ref": "perotti/housing-simple-pipeline", "kernel_id": "22090928"}, {"ref": "vimary/notebook109f9c33c4", "kernel_id": "22706339"}, {"ref": "chris36/predicting-house-prices", "kernel_id": "22096391"}, {"ref": "loicge/simplistic-but-efficient-model-0-137", "kernel_id": "22329834"}, {"ref": "christianhritter/housepricesadv-eda1", "kernel_id": "22064574"}, {"ref": "christianhritter/housepricesadv-datavis", "kernel_id": "22125402"}, {"ref": "christianhritter/housepricesadv-pipe", "kernel_id": "22305009"}, {"ref": "christianhritter/housepricesadv-elasticnet", "kernel_id": "22331377"}, {"ref": "christianhritter/housepricesadv-clustering", "kernel_id": "22294576"}, {"ref": "christianhritter/houseprices-mlp1", "kernel_id": "22960612"}, {"ref": "christianhritter/housepricesadv-ensemble3", "kernel_id": "22994059"}, {"ref": "christianhritter/housepricesadv-rf", "kernel_id": "22894555"}, {"ref": "christianhritter/housepricesadv-ensemble", "kernel_id": "22709877"}, {"ref": "gopaadhikari/eda-ames-housing-data", "kernel_id": "22832288"}, {"ref": "gopaadhikari/regress-ames-housing-data", "kernel_id": "22961843"}, {"ref": "blighpark/t2-4-house-prices-regression", "kernel_id": "22267113"}, {"ref": "suddharshan/house-price-prediction-feature-engineering", "kernel_id": "22614255"}, {"ref": "suddharshan/house-price-prediction-quick-method", "kernel_id": "22719837"}, {"ref": "suddharshan/regression-eda-anova-correlation-catboost", "kernel_id": "22720540"}, {"ref": "viannaandresouza/house-prices-prediction", "kernel_id": "22072468"}, {"ref": "heokw815/t2-4-house-prices-regression", "kernel_id": "22223916"}, {"ref": "vedanarayanan/linear-regression-house-price-prediction", "kernel_id": "22789647"}, {"ref": "dawoon0901/r-t2-4-house-prices", "kernel_id": "22350485"}, {"ref": "bhydemi/house-price-predictions-challenge", "kernel_id": "22182428"}, {"ref": "agileteam/house-prices-starter-xgb", "kernel_id": "22223481"}, {"ref": "katelynnc/housing-prices-predictions-final", "kernel_id": "22514442"}, {"ref": "shlomiziskin/housing-prices-notebook", "kernel_id": "22456934"}, {"ref": "minfa1207/eda-lightgbm-r2-0-92060", "kernel_id": "22602701"}, {"ref": "mgerdas/house-price-predicted-by-cat", "kernel_id": "22030929"}, {"ref": "wltjd54/house-prices-starter-gbr", "kernel_id": "22239084"}, {"ref": "jojaehun/house-prices-starter-python-rf-r2-0-89", "kernel_id": "22509126"}, {"ref": "windpham/house-price-prediction-my-first-notebook", "kernel_id": "22149667"}, {"ref": "bhuppi2898/house-price-pycaret-very-easy", "kernel_id": "22320536"}, {"ref": "moksedurrahman/house-prices-advanced-regression-pycaret", "kernel_id": "22562522"}, {"ref": "mfarhi/catboost-optuna", "kernel_id": "22048165"}, {"ref": "henjoyy/house-prices-starter-xgb", "kernel_id": "22309794"}, {"ref": "p7476762/eda-9-model-comparsion-catboostregressor", "kernel_id": "22808583"}, {"ref": "patrickjose/xgboost-housing-price-prediction", "kernel_id": "22904789"}, {"ref": "mazen10002/assign2-mazen-mobtasem-18100142", "kernel_id": "22119856"}, {"ref": "ttyn4519/houseprice-score0-25342", "kernel_id": "22057352"}, {"ref": "mafrojaakter/handling-missing-values", "kernel_id": "22295398"}, {"ref": "hana00/py-t1-4-expected-questions", "kernel_id": "22393058"}, {"ref": "hana00/house-prices-starter-xgb-960a5f", "kernel_id": "22477688"}, {"ref": "arnrob/house-prices-top-3", "kernel_id": "22457589"}, {"ref": "mohabhafez/assignment-2-mohab", "kernel_id": "22112281"}, {"ref": "francescovattiato/pca-nn-for-house-price-prediction", "kernel_id": "22068266"}, {"ref": "otakoyomi/houseprices", "kernel_id": "22931086"}, {"ref": "ashrithgrandi/houseprices-ash", "kernel_id": "22275766"}, {"ref": "dineshsai6/notebook9c929aa4bc", "kernel_id": "22446309"}, {"ref": "hassanaboeata/assignmenthousepredict", "kernel_id": "22118102"}, {"ref": "gorkembakir/fork-of-hp-eda", "kernel_id": "22948124"}, {"ref": "abdelrhman12213/houseprices", "kernel_id": "22121517"}, {"ref": "mallapraveen/get-into-top-30-with-simple-ml-techniques", "kernel_id": "22376724"}, {"ref": "nannanannadurai/linear-regression-house-price-prediction", "kernel_id": "22788319"}, {"ref": "serendipitysophie/itds-14-6f1e38", "kernel_id": "22978318"}, {"ref": "serendipitysophie/itds-14-b123e8", "kernel_id": "22976205"}, {"ref": "shakirovagulnaz/notebook1685326e2b-275a37", "kernel_id": "22770377"}, {"ref": "arkaradeniz/house-prices", "kernel_id": "22413592"}, {"ref": "jorgesisco/housing-prices-project", "kernel_id": "22414598"}, {"ref": "arvinthsss/house-price-regressions-dive-deep-using-sql", "kernel_id": "22885414"}, {"ref": "hellohello12345/house-price-prediction", "kernel_id": "22059613"}, {"ref": "hikarumoriya/house-prices-eda", "kernel_id": "22224435"}, {"ref": "hikarumoriya/lightgbm-houseprices-predict", "kernel_id": "22125340"}, {"ref": "sonamsingh830/regression-practice-problem", "kernel_id": "22838598"}, {"ref": "antoinegruson/houses-price-preprocess-eda-stacking", "kernel_id": "22147957"}, {"ref": "themlphdstudent/cheat-sheet-altair-charts", "kernel_id": "22758242"}, {"ref": "moatazbellahahmed/assignment-2-house-predictions", "kernel_id": "22091943"}, {"ref": "jeonghojae/house-prices-starter-xgb", "kernel_id": "22356318"}, {"ref": "jeonghojae/py-t1-4-expected-questions", "kernel_id": "22112638"}, {"ref": "jorgeascencion/house-prices-gb-regressor-optuna-optimization", "kernel_id": "22763426"}, {"ref": "youngprize33/py-t1-4-expected-questions", "kernel_id": "22432938"}, {"ref": "youngprize33/t2-4house-prices-starter-xgb", "kernel_id": "22458258"}, {"ref": "kgxiao/eda-outlier-detection-model-fusion", "kernel_id": "22390923"}, {"ref": "artemsslepov/house-price-prediction", "kernel_id": "22192815"}, {"ref": "teckmengwong/feature-engineering-for-house-prices", "kernel_id": "22178729"}, {"ref": "teckmengwong/housing-simple-pipeline", "kernel_id": "22029668"}, {"ref": "minseungshin/py-t1-4-expected-questions", "kernel_id": "22459771"}, {"ref": "izem00/house-prices", "kernel_id": "22996843"}, {"ref": "charishmasiriki/house-prediction-xgb-regressor", "kernel_id": "22208237"}, {"ref": "fightingmuscle/the-power-of-normalization-and-visualization", "kernel_id": "22230423"}, {"ref": "fightingmuscle/eda-more-technical", "kernel_id": "22323001"}, {"ref": "richez/house-prices-catboost-optuna", "kernel_id": "22432019"}, {"ref": "nataliakhol/house-prices-prediction", "kernel_id": "22659953"}, {"ref": "abdurrahman17/house-prices-prediction", "kernel_id": "22328920"}, {"ref": "dunfuyang/house-price", "kernel_id": "22754616"}, {"ref": "kapakudaibergenov/advanced-house-price-prediction", "kernel_id": "22244385"}, {"ref": "bhanujoshkakarla/house-price-predicition-using-r-f-r", "kernel_id": "22061680"}, {"ref": "swethkm/house-price-prdeiction-analysis", "kernel_id": "22676352"}, {"ref": "alex0302/code2", "kernel_id": "22131024"}, {"ref": "deepyath/final-exam-house-prices-advanced-regression-tech", "kernel_id": "22586405"}, {"ref": "wonchanleee/compare-lasso-ridge-elasticnet-lgbm-performance", "kernel_id": "22855719"}, {"ref": "hyojungshin/tutorial-numeric-feature", "kernel_id": "22641651"}, {"ref": "hyojungshin/tutorial-tutorial", "kernel_id": "22606186"}, {"ref": "hyojungshin/tutorial", "kernel_id": "22577549"}, {"ref": "hyojungshin/house-prices-starter-xgb", "kernel_id": "22262915"}, {"ref": "ededhiscalifh/house-price-prediction-fastcoding-first-commit", "kernel_id": "22720971"}, {"ref": "ededhiscalifh/house-price-prediction-eda-modeling", "kernel_id": "22819183"}, {"ref": "yasinnaal/predict-house-prices-ml", "kernel_id": "22005280"}, {"ref": "methoomirza/house-price-prediction-with-adaboostregressor", "kernel_id": "22054069"}, {"ref": "wyctorfogos/notebook5a2164a406", "kernel_id": "22751050"}, {"ref": "housseinihadia/prices-house-regression", "kernel_id": "22484035"}, {"ref": "kremenevskiy/house-prices", "kernel_id": "22359556"}, {"ref": "minilnair/housepriceprediction-linearregression", "kernel_id": "22408528"}, {"ref": "mohammadhossein77/house-prices-advanced-regression-tf2-keras", "kernel_id": "22481062"}, {"ref": "yeivermarchan/houses-price-regression-analysis", "kernel_id": "22226486"}, {"ref": "odins0n/h2o-ai-automl-regression-house-price-prediction", "kernel_id": "22054468"}, {"ref": "danaqueen/house-prices-starter-practice", "kernel_id": "22406587"}, {"ref": "danaqueen/py-t1-4-expected-questions", "kernel_id": "22329739"}, {"ref": "heyrobin/house-price-prediction-beginner-s-notebook", "kernel_id": "22641761"}, {"ref": "yongjoonchang/house-prices-starter-xgb", "kernel_id": "22267904"}, {"ref": "kishalmandal/house-prices-eda", "kernel_id": "22618199"}, {"ref": "hasanmahmood516/ames-iowa-housing", "kernel_id": "22912878"}, {"ref": "izzuzantyaf/linear-regression", "kernel_id": "22134668"}, {"ref": "izzuzantyaf/xgboost", "kernel_id": "22141023"}, {"ref": "seregabdx/notebooka1f1ca33df", "kernel_id": "22211716"}, {"ref": "beatrizyun/t1-4-log", "kernel_id": "22510499"}, {"ref": "gaganmaahi224/matplotlib-tutorial", "kernel_id": "22067351"}, {"ref": "gaganmaahi224/everything-you-need-to-know-in-plotly", "kernel_id": "22504721"}, {"ref": "gaganmaahi224/cutevizz-seaborn-self-written-code", "kernel_id": "22831058"}, {"ref": "mysarahmadbhat/python-from-zero-to", "kernel_id": "22809589"}, {"ref": "mazenahmed11/comprehensive-data-exploration-with-python", "kernel_id": "22110703"}, {"ref": "prashantmane92/house-prices-adv-regression-techniques", "kernel_id": "22814638"}, {"ref": "fujitsukaggle/catboost-model-with-visualizations", "kernel_id": "22421067"}, {"ref": "ayanvishwakarma12/regression-assignment", "kernel_id": "22882922"}, {"ref": "joaomouras/comp-houseprice", "kernel_id": "22815063"}, {"ref": "cdyn17/t1-4-skewness-and-kurtosis-log-scale", "kernel_id": "22446222"}, {"ref": "prodigiousphoton/advanced-regtechniques-houseprices", "kernel_id": "22274047"}, {"ref": "siddharthaborgohain/home-price-prediction", "kernel_id": "22337903"}, {"ref": "dorothylee238/py-t1-4-expected-questions", "kernel_id": "22323027"}, {"ref": "vinayaktiwari28/simplify-your-data-with-pca", "kernel_id": "22759275"}, {"ref": "vinayaktiwari28/how-to-begin-predict-houseprice-starter", "kernel_id": "22152569"}, {"ref": "sarvekblaze/house-price-regression-problem", "kernel_id": "22988720"}, {"ref": "rhythmcam/house-price-onetime-preprocessing", "kernel_id": "22015492"}, {"ref": "rhythmcam/keras-tuner-randomforest-house-prices", "kernel_id": "22358027"}, {"ref": "rhythmcam/keras-tuner-randomforest-decisiontree", "kernel_id": "22359307"}, {"ref": "rhythmcam/house-price-autogluon-baseline", "kernel_id": "22960944"}, {"ref": "oskarstachowski/cechy-kategorialne", "kernel_id": "22604773"}, {"ref": "paxcema/lightwood-tutorial-house-prices-regression", "kernel_id": "22045092"}, {"ref": "yenaaa/t2-4-house-prices-regression-yenaaa", "kernel_id": "22267981"}, {"ref": "lydiaryu/py-t2-4-house-prices-regression", "kernel_id": "22252261"}, {"ref": "rajeevnair676/feature-engineering-eda", "kernel_id": "22925012"}, {"ref": "ahmedadel6373/house-prices", "kernel_id": "22187410"}, {"ref": "okancan/house-prices-eda-model-exploration-via-tidymodels", "kernel_id": "22139903"}, {"ref": "remulus/houseprices-predict-cv-xgboost", "kernel_id": "22042123"}, {"ref": "asasasas12343212/encoding-randomforest", "kernel_id": "22124859"}, {"ref": "younghoonoh/py-t1-4-expected-questions", "kernel_id": "22375040"}, {"ref": "wasimpinjari/adv-house-prices-prediction-using-rigid-and-lasso", "kernel_id": "22093666"}, {"ref": "jordi25/py-t1-4-expected-questions", "kernel_id": "22486499"}, {"ref": "rodrigomartinviano/house-prediction", "kernel_id": "22873291"}, {"ref": "kastonex/houseprices", "kernel_id": "22441073"}, {"ref": "nimasamii/stacking-house-prices", "kernel_id": "22191364"}, {"ref": "artemmokeev/tutorial-for-begginers-data-processing-methods", "kernel_id": "22264441"}, {"ref": "nisargmehta/top-7-house-notebook-regression-in-detail", "kernel_id": "22455879"}, {"ref": "seholeee/house-prices-starter-rf", "kernel_id": "22347678"}, {"ref": "srithuraisamy/house-sale-price", "kernel_id": "22026545"}, {"ref": "wajahatparvez99/feature-engineering-a-house-data", "kernel_id": "22819094"}, {"ref": "wajahatparvez99/feature-selection-advancce-house-data", "kernel_id": "22836630"}, {"ref": "wajahatparvez99/exploratory-data-analysis-advance-house-data", "kernel_id": "22784567"}, {"ref": "wajahatparvez99/xgboost-parameter-tuning-advance-house-predict", "kernel_id": "22639927"}, {"ref": "wajahatparvez99/gradient-boosting-regressor-advance-house-predict", "kernel_id": "22631036"}, {"ref": "mohamedatef321/house-prices-prediction", "kernel_id": "22999090"}, {"ref": "kulindamani/house-prices", "kernel_id": "22345636"}, {"ref": "samwong127/house-price-model-draft", "kernel_id": "22156475"}, {"ref": "abdullah3yad/house-price-prediction", "kernel_id": "22403297"}, {"ref": "moonisj/extra-trees-vs-random-forest", "kernel_id": "22818024"}, {"ref": "himanshusirsat/house-price-simple", "kernel_id": "22984720"}, {"ref": "edwardakalarrywelch/stacked-regressions", "kernel_id": "22751700"}, {"ref": "edwardakalarrywelch/house-prices", "kernel_id": "22046931"}, {"ref": "edwardakalarrywelch/very-basic-guide-to-pandas-loc-and-iloc", "kernel_id": "22462274"}, {"ref": "raysun91/exploratory-data-analysis-no-data-modeling", "kernel_id": "22950959"}, {"ref": "sreebink/advanced-regression-on-house-prices-dataset", "kernel_id": "22840345"}, {"ref": "ehsandahesh/house-prices-compare-all-of-regressor-algorithm", "kernel_id": "22589533"}, {"ref": "ehsandahesh/house-prices-knn-impute-compare-models", "kernel_id": "22981270"}, {"ref": "sriju94/house-price-prediction-model-build", "kernel_id": "22118702"}, {"ref": "manjunathgb/house-prices-advanced-regression-techniques", "kernel_id": "22346590"}, {"ref": "iwonjin/notebooke39062edde", "kernel_id": "22460789"}, {"ref": "satoshiichikawa/house-prices-code", "kernel_id": "22853149"}, {"ref": "moonssong/py-t2-4-house-prices-regression", "kernel_id": "22236989"}, {"ref": "molvor/precio-casas-con-redes-neuronales", "kernel_id": "22114324"}, {"ref": "nethanael/mla2-tarea-semana-12b", "kernel_id": "22201969"}, {"ref": "cesarjimenezm/mla2-cjimenez-12", "kernel_id": "22148092"}, {"ref": "yiukamwing/house-price", "kernel_id": "22133765"}, {"ref": "carlosperaltacoto/houseprices", "kernel_id": "22224876"}, {"ref": "yuyougnchan/titanic-eda-visualization-prediction-baseline", "kernel_id": "22206180"}, {"ref": "yuyougnchan/look-at-this-note-numeric-variable-is-easy", "kernel_id": "22322709"}, {"ref": "yuyougnchan/look-at-this-note-category-type-is-easy", "kernel_id": "22333896"}, {"ref": "amogh2001pradeep/10-models-tested-top-4-mean-abs-error", "kernel_id": "22863281"}, {"ref": "ritzchaudhury/easy-eda-advanced-regression", "kernel_id": "22133667"}, {"ref": "bhanusreepenukonda/house-price-prediction-term-project", "kernel_id": "22478666"}, {"ref": "bapimahanta/feature-engineering-for-house-prices", "kernel_id": "22403808"}, {"ref": "neesha12/house-prices-regression", "kernel_id": "22728774"}, {"ref": "agyatneuron/house-price-eda", "kernel_id": "22224276"}, {"ref": "kalelpark/hey-kaggler-merry-christmas-see-christmas-tree", "kernel_id": "22993234"}, {"ref": "kalelpark/house-prices-top10-for-beginner-kor-eng", "kernel_id": "22862841"}, {"ref": "southeslem/house-prices-taisumov", "kernel_id": "22821745"}, {"ref": "andrewlysanets/notebookcac9057466", "kernel_id": "22272911"}, {"ref": "cvapraneeth007/2092930-venkata-channa-house-prices-my-project", "kernel_id": "22441084"}, {"ref": "vamsisaivanka/house-price-modeling-007", "kernel_id": "22449556"}, {"ref": "sushmabattu/house-pricing-prediction", "kernel_id": "22450358"}, {"ref": "shantansrivatsav/project", "kernel_id": "22450556"}, {"ref": "ratnatejanerusu/house-prices-solution", "kernel_id": "22421887"}, {"ref": "bolevard/notebook109f9c33c4-ed931b", "kernel_id": "22708090"}, {"ref": "bolevard/notebook109f9c33c4", "kernel_id": "22703787"}, {"ref": "archanayarlagadda/housepriceprediction28", "kernel_id": "22450323"}, {"ref": "tabrezbinahmed/eda-model-bulding", "kernel_id": "22447989"}, {"ref": "avikumart/regression-end-to-end-project-xgb-rf-ridge-kmeans", "kernel_id": "22137350"}, {"ref": "mokhnatkinkirill/predict-house-prices-with-linear-regression", "kernel_id": "22384086"}, {"ref": "yakhoubwague/house-prediction-1", "kernel_id": "22948152"}, {"ref": "nikitatsyganyuk/notebookhouseprices", "kernel_id": "22870577"}, {"ref": "romankozlov87/house-prices-competition-pycaret", "kernel_id": "22670665"}, {"ref": "aershov/ml2021-lab-3-house-prices", "kernel_id": "22201805"}, {"ref": "alinadovzhenko/notebook60f063768b", "kernel_id": "22359871"}, {"ref": "veratumanova/lab3-vt", "kernel_id": "22141028"}, {"ref": "batonny/notebook84fbc2bd43", "kernel_id": "22372927"}, {"ref": "sezohessen/assignmenthousepredict", "kernel_id": "22091958"}, {"ref": "limmyoungjin/r-t2-4-house-prices", "kernel_id": "22232180"}, {"ref": "limmyoungjin/r-t1-4-expected-questions-2", "kernel_id": "22404787"}, {"ref": "vladislavsemenyonok/notebook338f333e5b", "kernel_id": "22551374"}, {"ref": "saprykinalexander/house-price", "kernel_id": "22022878"}, {"ref": "chaurasia24/house-price-regression", "kernel_id": "22139399"}, {"ref": "nikitalukashov/houselab", "kernel_id": "22352570"}, {"ref": "vladislavsergeev/house-prices-ensemble-0-128", "kernel_id": "22223583"}, {"ref": "dmirtyenikeev/notebook7f110f4065", "kernel_id": "22979784"}, {"ref": "dmirtyenikeev/notebooke6775ebaeb", "kernel_id": "22968899"}, {"ref": "johyunkang/py-t1-4-script-type", "kernel_id": "22514009"}, {"ref": "anastasiyachapurina/lab-3", "kernel_id": "22589620"}, {"ref": "alexanderbubnovman1/gradientboostingregressor-0-15", "kernel_id": "22686597"}, {"ref": "imaginaryboo/assignment-1", "kernel_id": "22020788"}, {"ref": "elwinner23/house-prices-lab3", "kernel_id": "22948241"}, {"ref": "chan19041883/housepricefinal-linear-regression", "kernel_id": "22089006"}, {"ref": "rezakusnadi/first-eda-practice-in-r", "kernel_id": "22613684"}, {"ref": "akshinguseinov/houseprcs", "kernel_id": "22939559"}, {"ref": "tkachevigor/ml-lab3", "kernel_id": "22948045"}, {"ref": "jordandahan/house-prices-advanced-regression-techniques", "kernel_id": "22164604"}, {"ref": "yamyam7/house-prices-starter-xgb", "kernel_id": "22267193"}, {"ref": "lahnova/lab2task2house-price", "kernel_id": "22816192"}, {"ref": "hyodadak/r-t2-4-house-prices", "kernel_id": "22268968"}, {"ref": "hyodadak/r-t1-4-expected-question-2", "kernel_id": "22107401"}, {"ref": "bangjaein/house-prices-starter-xgb", "kernel_id": "22254809"}, {"ref": "zaafirrahman/house-price-prediction", "kernel_id": "22030486"}, {"ref": "jogejung/notebook87ca2b00e9", "kernel_id": "22213361"}, {"ref": "jogejung/py-t2-4-house-prices-regression-2joge", "kernel_id": "22347587"}, {"ref": "jogejung/t2-4-house-prices-regression", "kernel_id": "22235108"}, {"ref": "jogejung/py-t1-4-2joge", "kernel_id": "22424970"}, {"ref": "ultimateant/estimation-house-prices", "kernel_id": "22724583"}, {"ref": "brellsanwouo/feature-engineering-for-house-prices", "kernel_id": "22796698"}, {"ref": "lovroselic/houseprices-ls", "kernel_id": "22460679"}, {"ref": "jeonginah/house-prices-starter-xgb", "kernel_id": "22268944"}, {"ref": "therorange/boston-house-price-prediction-linear-regression", "kernel_id": "22085743"}, {"ref": "rusalnabdullin18/notebooka8fc1b2378", "kernel_id": "22659001"}, {"ref": "sarayavari/data-preperation-house-price", "kernel_id": "22723872"}, {"ref": "rezvanrah/data-preparation-house-price", "kernel_id": "22876242"}, {"ref": "samadazimiabriz/house-price-preprocessing", "kernel_id": "22650973"}, {"ref": "maximisaev1/house", "kernel_id": "22233028"}, {"ref": "yoonhwayam/house-price-pred-practice01", "kernel_id": "22635502"}, {"ref": "nattyzepko/hw2-natty-zepko-302309513", "kernel_id": "22659515"}, {"ref": "kkwang0816/improved", "kernel_id": "22157408"}, {"ref": "denisdudakov/dudakov1-st", "kernel_id": "22091371"}, {"ref": "cherokeeparker/house-prices-notebook", "kernel_id": "22119811"}, {"ref": "nightowl1/notebook1071baa684", "kernel_id": "22990545"}, {"ref": "kaggledoer/custom-gradient-boost-for-house-prices", "kernel_id": "22912507"}, {"ref": "matanav/house-prices-ex4-by-matanav", "kernel_id": "22681222"}, {"ref": "soloninaelena/notebook36658f6651", "kernel_id": "22114203"}, {"ref": "alimohamedhashish/predicting-house-price", "kernel_id": "22096493"}, {"ref": "ahmedkhaledaskar/assignment-2", "kernel_id": "22009086"}, {"ref": "matyukhingeorge/notebook6f0b5f6f01", "kernel_id": "22315251"}, {"ref": "akshayasrisa/houseprices-akshaya", "kernel_id": "22364889"}, {"ref": "mindingkang97/t1-4-skewness-and-kurtosis-log-scale", "kernel_id": "22235257"}, {"ref": "mindingkang97/t2-4-house-prices-xgbregression", "kernel_id": "22425296"}, {"ref": "iliabadekin/notebook3-house-prices-bv", "kernel_id": "22494142"}, {"ref": "wessamslahloub/assignmenthousepredict", "kernel_id": "22097588"}, {"ref": "titichayajojo/kaggle2", "kernel_id": "22842194"}, {"ref": "richardcheatham/predicting-housing-prices-w-elasticnetcv", "kernel_id": "22164843"}, {"ref": "roy2004/housing-prices-competition-op-4", "kernel_id": "22746376"}, {"ref": "terrynlp/data-exploration-eg-the-house-prices", "kernel_id": "22180118"}, {"ref": "terrynlp/feature-engineering-eg-the-house-prices", "kernel_id": "22319882"}, {"ref": "asmaaselghetany/assignment-2", "kernel_id": "22020398"}, {"ref": "pkonstantinr/badone", "kernel_id": "22495599"}, {"ref": "chanulus/predicting-house-prices-in-r-advance-regression", "kernel_id": "22876359"}, {"ref": "silvanaatef/ass-part2", "kernel_id": "22089162"}, {"ref": "demko1/homesales", "kernel_id": "22590056"}, {"ref": "soloveve/8306-hp", "kernel_id": "22888143"}, {"ref": "exiaoseiei/house-prices", "kernel_id": "22127991"}, {"ref": "ahmedelgharib/ahmed-elgharib", "kernel_id": "22120792"}, {"ref": "ghadasallam/ghada-ali-assig2", "kernel_id": "22121450"}, {"ref": "clairechoi80/py-t1-4-expected-questions", "kernel_id": "22227814"}, {"ref": "clairechoi80/py-t2-4-house-prices", "kernel_id": "22392469"}, {"ref": "svnsdhananjayreddy/house-prices-prediction", "kernel_id": "22350305"}, {"ref": "chanchunlung/comp4433", "kernel_id": "22153484"}, {"ref": "milenamiskevich/house-prices", "kernel_id": "22944692"}, {"ref": "yoonsun222/py-t1-4-expected-questions", "kernel_id": "22369808"}, {"ref": "yugorshkov/house-prices-ategorical-features-rf-lr-cb", "kernel_id": "22933397"}, {"ref": "jjjjjjjjjjason/ml-house-prices", "kernel_id": "22913643"}, {"ref": "haru0017/house-prices", "kernel_id": "22254141"}, {"ref": "edenbeladev/eden-statistical-inference-and-data-mining", "kernel_id": "22710288"}, {"ref": "alanmike/notebookb0e9838ae0", "kernel_id": "22524996"}, {"ref": "saifmuhammed1/assignment-2-ml", "kernel_id": "22437099"}, {"ref": "lebyby/ml3-notebook", "kernel_id": "22702756"}, {"ref": "pandahang11/stacked-regressions-top-4-on-leaderboard", "kernel_id": "22519870"}, {"ref": "andreyshestaev/labor3", "kernel_id": "22709973"}, {"ref": "aidachernyavskaya/house-prices", "kernel_id": "22725111"}, {"ref": "zwartfreak/easiest-price-prediction-full-explanation", "kernel_id": "22636054"}, {"ref": "ishsarin/house-price-advanced-regression-techniques", "kernel_id": "22685397"}, {"ref": "minhachoi6/houseprices-ls", "kernel_id": "22645330"}, {"ref": "egortuliandin/notebooke3a5726701", "kernel_id": "22955335"}, {"ref": "jaidenlee/housing-notebook", "kernel_id": "22821719"}, {"ref": "mehmetpek/house-prices", "kernel_id": "22926337"}, {"ref": "blackas/using-lstm-with-pytorch", "kernel_id": "22838986"}, {"ref": "kirsonbrz/houseprices-830804", "kernel_id": "22888087"}, {"ref": "lingtaiyang/210739-lty-coursecode", "kernel_id": "22901982"}, {"ref": "lisyuan0930/houseprices-notebook", "kernel_id": "22841597"}, {"ref": "leonidspiridonov/notebooke6ea9fa5e0", "kernel_id": "22851171"}, {"ref": "basselsherif42/house-price-prediction-bassel-18101082", "kernel_id": "22868738"}, {"ref": "lxxmik/ml3-5chr", "kernel_id": "22871884"}, {"ref": "chimchoppa/house-prices-8308-smi", "kernel_id": "22887322"}, {"ref": "rmnv1488/shubinov-lab3", "kernel_id": "22914784"}, {"ref": "ahmedmettwally/house-prices-prediction", "kernel_id": "22999122"}, {"ref": "vuko91/house-prices-advanced-regression-w-pca", "kernel_id": "23894115"}, {"ref": "ijcrook/feature-engineering-for-house-prices", "kernel_id": "23596029"}, {"ref": "jjlevinemusic/data-prep", "kernel_id": "23912737"}, {"ref": "jjlevinemusic/automl", "kernel_id": "23900946"}, {"ref": "christianhritter/housepricesadv-automl", "kernel_id": "23290965"}, {"ref": "maulberto3/house-prices-probabilistic-neural-network", "kernel_id": "23978132"}, {"ref": "bibhuti93/house-price-prediction-eda-fs", "kernel_id": "23119601"}, {"ref": "alisimaei/house-price-prediction-complete-practice-notebook", "kernel_id": "23424379"}, {"ref": "mdrftcom/house-prices-auto-parameter-opt-nn", "kernel_id": "23911885"}, {"ref": "mdrftcom/house-prices-auto-nn-most-frequent-strategy", "kernel_id": "23967061"}, {"ref": "jacoporepossi/eda-is-awesome-having-fun-with-altair", "kernel_id": "23833074"}, {"ref": "clavecat/intro-to-regression-with-diamonds-dataset", "kernel_id": "23581773"}, {"ref": "cjywish/house-prices-advanced-stacked-regressions", "kernel_id": "23870813"}, {"ref": "irshad256/house-prices-xgboost", "kernel_id": "23372188"}, {"ref": "rj1998/project0", "kernel_id": "23830178"}, {"ref": "phanee16/housing-saleprice-eda-ml", "kernel_id": "23657014"}, {"ref": "ayesha111/house-prices-regression-techniques", "kernel_id": "23855089"}, {"ref": "pranjal2612/house-price-prediction", "kernel_id": "23515928"}, {"ref": "donalflanagan/linear-regression-housing-prices", "kernel_id": "23608683"}, {"ref": "alejandromorales1/house-price-prediction", "kernel_id": "23737508"}, {"ref": "bukenyalukman/housing-price-prediction-2022", "kernel_id": "23614498"}, {"ref": "mcnashg/saleprice-submission", "kernel_id": "23938013"}, {"ref": "p7476762/eda-gradientboostregression-for-prediction", "kernel_id": "23412103"}, {"ref": "amcap1712/ensemble-model-for-house-price-prediction", "kernel_id": "23569707"}, {"ref": "poriz123/house-prices-gboost", "kernel_id": "23934010"}, {"ref": "arwenvoorn/first-competition-lr-rf-xgb", "kernel_id": "23871671"}, {"ref": "sahranjit77/notebook-ranjit-housing-price-wbs", "kernel_id": "23640431"}, {"ref": "sahranjit77/house-prices-regression", "kernel_id": "23633395"}, {"ref": "parulrajwade/housepriceprediction", "kernel_id": "23571497"}, {"ref": "bhavithakusam/house-price-prediction", "kernel_id": "23118065"}, {"ref": "gaurav3435/house-price-prediction", "kernel_id": "23090757"}, {"ref": "sytuannguyen/house-prices-with-automated-ensembling", "kernel_id": "23699988"}, {"ref": "vickymishr/house-prices-advanced-regression", "kernel_id": "23458351"}, {"ref": "swarupghosal/gradient-boosting", "kernel_id": "23825887"}, {"ref": "hanselliott/ames-house-prediction-final", "kernel_id": "23881829"}, {"ref": "saranmed/predict-house-prices-sara", "kernel_id": "23003514"}, {"ref": "ohseokkim/house-price-all-about-house-price", "kernel_id": "23472951"}, {"ref": "ohseokkim/house-price-simple-but-not-simpler", "kernel_id": "23102851"}, {"ref": "durianjaykin/house-regression", "kernel_id": "23731469"}, {"ref": "vivovinco/housing-prices-endless-predictions", "kernel_id": "23786869"}, {"ref": "diallothierno/houseprices-ls", "kernel_id": "23135683"}, {"ref": "eavannan/house-price-prediction-simple-ml", "kernel_id": "23613712"}, {"ref": "omkaarp/house-prices-regression-techniques-submission", "kernel_id": "23510981"}, {"ref": "khuutrongkhiem/house-prices-model", "kernel_id": "23579756"}, {"ref": "giseonkang/house-price-prediction", "kernel_id": "23677697"}, {"ref": "ramyarama1993/house-prediction", "kernel_id": "23401112"}, {"ref": "soojeonghan/submit", "kernel_id": "23011181"}, {"ref": "yaswa111/house-price-prediction-no-eda", "kernel_id": "23091699"}, {"ref": "nasreldeenyousif/house-prices-advanced-regression-techniques", "kernel_id": "23108402"}, {"ref": "addikamal/house-price-prediction", "kernel_id": "23590193"}, {"ref": "junior10/machine-learning-from-scratch", "kernel_id": "23890438"}, {"ref": "henriqueweber/house-prices-regression", "kernel_id": "23886338"}, {"ref": "aditisaxena20/house-price-prediction-regression-model", "kernel_id": "23104041"}, {"ref": "abhisai51/deep-learning-using-pytorch-fast-ai", "kernel_id": "23606609"}, {"ref": "fedesoriano/house-prices-what-s-a-good-score", "kernel_id": "23414677"}, {"ref": "mohammedelmeligy/house-prices-prediction", "kernel_id": "23414840"}, {"ref": "allanwang61/house-prices-advanced-regression-techniques", "kernel_id": "23626064"}, {"ref": "israelwakayo/house-price-prediction-with-detailed-data-analysis", "kernel_id": "23682788"}, {"ref": "shefalishettyy/eda-kurt-skew", "kernel_id": "23664028"}, {"ref": "daniel137/score-less-than-0-41-daniel-b", "kernel_id": "23929400"}, {"ref": "nikosavgeros/six-different-models-gridsearch-plus-textparser", "kernel_id": "23676729"}, {"ref": "stevenslater/house-prices-with-gradient-boost-and-rf", "kernel_id": "23590173"}, {"ref": "yoavshoshan/house-prices", "kernel_id": "23925883"}, {"ref": "anasbfaisal/house-price-prediction", "kernel_id": "23106487"}, {"ref": "sssjhhh/house-price-soft-vector-machine", "kernel_id": "23933843"}, {"ref": "deeprajvadhwane/outlier-the-silent-killer", "kernel_id": "23122337"}, {"ref": "aahilshaikh/home-prices-advanced", "kernel_id": "23531921"}, {"ref": "vemuladasaradha/house-price-advanced-eda", "kernel_id": "23742085"}, {"ref": "vemuladasaradha/filling-up-missing-values-greatlearning-plots", "kernel_id": "23463994"}, {"ref": "rhythmcam/function-show-shap-values", "kernel_id": "23745268"}, {"ref": "rhythmcam/use-show-shap-values-py", "kernel_id": "23745861"}, {"ref": "rhythmcam/house-price-decisiontree-randomsearchcv-prediction", "kernel_id": "23898140"}, {"ref": "rhythmcam/find-house-outlier-using-pycaret-anomaly", "kernel_id": "23549507"}, {"ref": "onedatareader/house-prices-advanced-regression-techniques-wip", "kernel_id": "23918832"}, {"ref": "evgenigeorg/predict-the-sales-price-with-mlr3-in-r", "kernel_id": "23406322"}, {"ref": "bbksjdd/lasso-xgboost", "kernel_id": "23599532"}, {"ref": "maujmishra/house-price-prediction-linear-regression-r2-0-86", "kernel_id": "23711620"}, {"ref": "ruizhengclairezhang/house-price-prediction", "kernel_id": "23924840"}, {"ref": "derrick01/house-price-predicted-with-randomforest", "kernel_id": "23461361"}, {"ref": "derrick01/house-price-advanced-features-engineering", "kernel_id": "23611411"}, {"ref": "prafullabajracharya/house-data-cleaned", "kernel_id": "23008822"}, {"ref": "kojobarbie/houseprice-xgboost", "kernel_id": "23942243"}, {"ref": "takkimsncn/house-price-prediction-01", "kernel_id": "23937196"}, {"ref": "rprkh15/advanced-housing-prices-using-gridsearchcv", "kernel_id": "23555071"}, {"ref": "hastingssibanda/housepricepredictionhs14012021", "kernel_id": "23873063"}, {"ref": "emrearslan123/house-price-prediction", "kernel_id": "23068579"}, {"ref": "raysun91/detailed-eda-model-stacking", "kernel_id": "23340085"}, {"ref": "humeshwariambone/house-price-predcation", "kernel_id": "23836760"}, {"ref": "phuc16102001/house-prices-advanced-prevent-overfitting-by-fs", "kernel_id": "23463276"}, {"ref": "karthikmoturi/house-price-prediction", "kernel_id": "23607469"}, {"ref": "annavlasova/houseprices", "kernel_id": "23523842"}, {"ref": "bakirkreso/house-prices-v02", "kernel_id": "23469181"}, {"ref": "anshulmehtakaggl/advanced-regression-houseprices", "kernel_id": "23273244"}, {"ref": "denisgu/kernel-ridge-top-3", "kernel_id": "23342224"}, {"ref": "m0hammednasser/house-prices", "kernel_id": "23613209"}, {"ref": "devangvinci/ml-predicting-house-prices", "kernel_id": "23821467"}, {"ref": "alyonairinina/house", "kernel_id": "23658616"}, {"ref": "alyonairinina/house-2-0", "kernel_id": "23661057"}, {"ref": "evgenypotapov/notebook3cd6a05738", "kernel_id": "23922717"}, {"ref": "evgenypotapov/notebook609f2ea9b2", "kernel_id": "23922781"}, {"ref": "kalelpark/useful-visualization", "kernel_id": "23365399"}, {"ref": "shustikovvladislav/notebook166944cce3", "kernel_id": "23072678"}, {"ref": "maryragozina/notebook1cc7e71b85", "kernel_id": "23914247"}, {"ref": "maryragozina/notebookbb5c23cdeb", "kernel_id": "23914340"}, {"ref": "elahehsha/house-price-linear-regression", "kernel_id": "23709199"}, {"ref": "zhangchen123/house-price", "kernel_id": "23403365"}, {"ref": "tatyy555/house-prices-prediction-xgboost", "kernel_id": "23466763"}, {"ref": "kristinakunze/house-prices-regression", "kernel_id": "23606604"}, {"ref": "roeynuri/house-prices", "kernel_id": "23070401"}, {"ref": "dylanyves/house-price-prediction-advanced-regression", "kernel_id": "23811668"}, {"ref": "zurlyn/house-prices-preprocess", "kernel_id": "23951890"}, {"ref": "sholatut/house-prediction", "kernel_id": "23013113"}, {"ref": "niekvanderzwaag/housing-price-prediction-regression", "kernel_id": "23935522"}, {"ref": "darynzhylkyshy/notebook9a8bd6dd2d", "kernel_id": "23306801"}, {"ref": "leamanry/code-lea-manry", "kernel_id": "23671764"}, {"ref": "rezvanrah/principal-component-analysis-house-price", "kernel_id": "23804373"}, {"ref": "parisakhatibi/data-preparation", "kernel_id": "23124792"}, {"ref": "sahargarmsiri/house-price-preparation", "kernel_id": "23706709"}, {"ref": "cyrustadjiki/ec424-project-000-house-price-prediction", "kernel_id": "23830181"}, {"ref": "juliavassilenko/notebookd330bbd01f", "kernel_id": "23299825"}, {"ref": "marcoshori/notebook36a69d6ca4", "kernel_id": "23778547"}, {"ref": "paveltrusov/house-prices-keras-nn-with-data-augmentation", "kernel_id": "23921482"}, {"ref": "paveltrusov/house-prices-keras-simple-neural-network", "kernel_id": "23921168"}, {"ref": "paveltrusov/house-prices-catboost", "kernel_id": "23009817"}, {"ref": "precision19/house-predict", "kernel_id": "23619804"}, {"ref": "alexlau203/property-predictor", "kernel_id": "23868769"}, {"ref": "jjjjjjjjjjason/house-price-again", "kernel_id": "23392647"}, {"ref": "jjjjjjjjjjason/fork-of-imputation-house-price", "kernel_id": "23453751"}, {"ref": "jjjjjjjjjjason/final-house-price-project", "kernel_id": "23511281"}, {"ref": "sanjanabhute03/house-price", "kernel_id": "23571126"}, {"ref": "lukgaleta/simple-xgb-regressor-combined-with-mle", "kernel_id": "23953832"}, {"ref": "amadoualpha/projet-analysedd-amadou-vinicius", "kernel_id": "23977188"}, {"ref": "sevgiakdeniz/housing-regression", "kernel_id": "23606567"}, {"ref": "riasnazary/house-regr", "kernel_id": "23605395"}, {"ref": "konstantinoskontovas/notebookc05512126d", "kernel_id": "23612581"}, {"ref": "hanalaci/housing-prices-regression", "kernel_id": "23607704"}, {"ref": "akbarhuseynov23/house-price-prediction", "kernel_id": "23606561"}, {"ref": "shaniamengyunwu/welcome-to-data-science-in-r-workbook", "kernel_id": "23501688"}, {"ref": "nitishkumar3099/performing-eda-fe-fs-to-housing-dataset", "kernel_id": "23369675"}, {"ref": "nitishkumar3099/regression-on-housing-dataset", "kernel_id": "23414144"}, {"ref": "sjagkoo7/house-prices-art-rf-gradient-boosting", "kernel_id": "23236022"}, {"ref": "rajlakshmisinha/house-pricing-eda-regression-rls", "kernel_id": "23252063"}, {"ref": "annamakeychenkova/notebookc83a6bbfe7", "kernel_id": "23023803"}, {"ref": "fakhriddinibragimov/the-simplest-linear-regression", "kernel_id": "23632747"}, {"ref": "robfish7/houseprices", "kernel_id": "23336323"}, {"ref": "bretttregoning/notebookf018734c0e", "kernel_id": "23804299"}, {"ref": "ryanchenm7/house-prices-with-cv-of-models-and-3d-plotting", "kernel_id": "23393022"}, {"ref": "cyqzheng/housing-training", "kernel_id": "23661250"}, {"ref": "kardiadysti/xgboost-and-gridsearchcv", "kernel_id": "23985676"}, {"ref": "sulakmehmet/ev-fiyat-tahmin-notebook", "kernel_id": "23857120"}, {"ref": "uljibuhborjigin/housing-prices-gridsearchcv", "kernel_id": "23831131"}, {"ref": "maraeduardanadal/housing-prices-competition-grupo2", "kernel_id": "23778634"}, {"ref": "amrmohamedaboalsaoud/notebook04531fad6e", "kernel_id": "23723766"}, {"ref": "abetancourtp/housing-prices-competition", "kernel_id": "23831456"}, {"ref": "mikhailutk/8308tresko-hp", "kernel_id": "23870001"}, {"ref": "rmidurand/r-mi-durand-house-prices", "kernel_id": "23962954"}, {"ref": "engarkan/house-price-adv-reg-grid-search-cv", "kernel_id": "23991115"}, {"ref": "nmud19/pytorch-lightning-quantile-regression", "kernel_id": "24941241"}, {"ref": "jjlevinemusic/full-nb-with-various-techniques", "kernel_id": "24311836"}, {"ref": "ravi07bec/gentle-intro-with-end-to-end-solution", "kernel_id": "24405575"}, {"ref": "chris36/house-price-prediction-caret-design", "kernel_id": "24348952"}, {"ref": "damjimenezgu/houseprices-dj", "kernel_id": "24951184"}, {"ref": "brunompacheco/exploration", "kernel_id": "24688155"}, {"ref": "kumarsrikant/houe-price-prediction-starter-data-cleaning", "kernel_id": "24674680"}, {"ref": "resilientmax/eda-exercise-using-plotly", "kernel_id": "24948970"}, {"ref": "madagasygirl/house-prices-basic-regression-with-keras", "kernel_id": "24779705"}, {"ref": "ankitkumar111/housing-prices-regression", "kernel_id": "24718620"}, {"ref": "rvalieris/house-prices", "kernel_id": "24813054"}, {"ref": "baselahmed/notebook83fa78bc61", "kernel_id": "24952265"}, {"ref": "salakshya2/notebook6eac76cc86", "kernel_id": "24482345"}, {"ref": "sharansmenon/house-prices-xgb-regressor", "kernel_id": "24107771"}, {"ref": "yasirarfat/house-price-liner-regression", "kernel_id": "24880339"}, {"ref": "saauraav/linearreg-scratch", "kernel_id": "24992517"}, {"ref": "paytonfisher/detailed-eda-and-walkthrough-for-beginners", "kernel_id": "24550028"}, {"ref": "harshul23/house-price-prediction-eda-fe-lasso-ridge-90", "kernel_id": "24440573"}, {"ref": "venkatasubramanian/house-price-prediction-adv-regression", "kernel_id": "24348543"}, {"ref": "umashankarsomaskar/advregression-techniques-lasso-ridge", "kernel_id": "24218133"}, {"ref": "anand8krishna/house-price-adv-reg-problem-eda-and-prediction", "kernel_id": "24595205"}, {"ref": "marioeid/predicting-house-prices-using-xgb", "kernel_id": "24309533"}, {"ref": "ezzaldin6/house-price-baseline", "kernel_id": "24819218"}, {"ref": "ezzaldin6/step-by-step", "kernel_id": "24970048"}, {"ref": "vitorgamalemos/prices-prediction-eda-xgboost-regression", "kernel_id": "24652545"}, {"ref": "yamashita0240/greedy-forward-selection-for-house-price", "kernel_id": "24619050"}, {"ref": "asmaamosa/sklearn-and-house-price-prediction", "kernel_id": "24972114"}, {"ref": "adenarayana/2-simple-data-exploration-and-linear-regression", "kernel_id": "24503783"}, {"ref": "ganiyuolalekan/model-selection-for-larger-dataset", "kernel_id": "24960041"}, {"ref": "startpuneet/ames-housing-prices-predictions", "kernel_id": "24045538"}, {"ref": "anastasiiatimoshina/house-prices-notebook", "kernel_id": "24786605"}, {"ref": "ravjotsandhu/house-price-prediction", "kernel_id": "24831489"}, {"ref": "taranmarley/data-images-cnn", "kernel_id": "24552663"}, {"ref": "taranmarley/eda-to-ridge-regression-ensemble", "kernel_id": "24524532"}, {"ref": "nemuko/001-notebook-example", "kernel_id": "24551859"}, {"ref": "rodriguekalash/house-pricing", "kernel_id": "24058469"}, {"ref": "jhskaggle/p19-linear-regression-answer", "kernel_id": "24947477"}, {"ref": "syoukera/houseprice-1st", "kernel_id": "24646375"}, {"ref": "pranjalgupta29/102083042", "kernel_id": "24999355"}, {"ref": "nafisaalam1711656642/house-price-prediction-advanced-regression", "kernel_id": "24539041"}, {"ref": "ahmed121ashraf131/notebook7a91fc0b57", "kernel_id": "24570767"}, {"ref": "ahsansunny/house-price-prediction-adv-regression-techniques", "kernel_id": "24775664"}, {"ref": "davious/house-price-linear-regression-model", "kernel_id": "24633601"}, {"ref": "saivenkataramana/houseprices-eda-ohe-randomforest", "kernel_id": "24047753"}, {"ref": "salihbalci/house-prices-prediction-regression-s-b", "kernel_id": "24523545"}, {"ref": "durgancegaur/how-to-understand-data-using-visualization", "kernel_id": "24704518"}, {"ref": "mahdiyefaryabi77/project1-mahdiyefaryabi-4006169007", "kernel_id": "24589255"}, {"ref": "marcellnmeth/housingeda", "kernel_id": "24209334"}, {"ref": "pierrehanne/automl-regression-with-pycaret", "kernel_id": "24193331"}, {"ref": "olaabdallah/house-prices-advanced-regression-technique", "kernel_id": "24999694"}, {"ref": "muhammetalikula/gaih-pycaret", "kernel_id": "24642296"}, {"ref": "anubhavkaushik/house-price-simple-eda-xgb-lgbm", "kernel_id": "24590763"}, {"ref": "naheenmohammadkadir/house-prediction-eda", "kernel_id": "24882646"}, {"ref": "shunsukeozeki/house-prices-regression-with-pytorch", "kernel_id": "24662096"}, {"ref": "vaishantmakan/a1-101916054-vaishantmakan-cs10", "kernel_id": "24948992"}, {"ref": "bhavinmoriya/house-prices-regularization", "kernel_id": "24619998"}, {"ref": "scottfredschmidt/houseprices", "kernel_id": "24058094"}, {"ref": "abdelrahmankhalil/fork-of-house-price-prediction", "kernel_id": "24829075"}, {"ref": "tracyporter/code-with-me-ames-statsmodels", "kernel_id": "24594053"}, {"ref": "mindadeepam/house-prices-practise-and-analysis", "kernel_id": "24430062"}, {"ref": "ahmedaliomar/house-prices-prediction", "kernel_id": "24367199"}, {"ref": "dhruvgoel200113/dhruvgoel-102083029-ds-assign1", "kernel_id": "24930939"}, {"ref": "sharmaakshat/ds-assignment-1", "kernel_id": "24990522"}, {"ref": "shirorin/20220217mokumoku-house-competition", "kernel_id": "24737680"}, {"ref": "sanskriti17/predict-house-prices", "kernel_id": "24620633"}, {"ref": "abhishekbhadauria/notebook3a711b609e", "kernel_id": "24958518"}, {"ref": "tanishchhabra/advanced-linear-regression", "kernel_id": "24928046"}, {"ref": "rudragujarathi/house-price-prediction", "kernel_id": "24941236"}, {"ref": "xiangruiliu/house-prices", "kernel_id": "24963330"}, {"ref": "yomnasayedsaif/prediction-using-numeric-non-missing-data", "kernel_id": "24970144"}, {"ref": "seymagoksel/simple-linear-regression-from-scratch", "kernel_id": "24895529"}, {"ref": "muhammadshoaibsarwar/one-liner-eda", "kernel_id": "24917078"}, {"ref": "hernnvignolo/house-prices-art-without-data-leakage", "kernel_id": "24137073"}, {"ref": "arunasivapragasam/house-price-prediction-feature-engineering", "kernel_id": "24361997"}, {"ref": "solihahb/prediksi-harga-rumah-pemula", "kernel_id": "24175490"}, {"ref": "mahmoudlimam/introduction-to-feature-engineering", "kernel_id": "24571490"}, {"ref": "sleepysanjinlee/notebookc49086f9e8", "kernel_id": "24390701"}, {"ref": "ivjyotsingh/house-prices-eda-linear-reg-score-0-14831", "kernel_id": "24245491"}, {"ref": "phchen5/house-hunter-regression-stacking-top-3", "kernel_id": "24199641"}, {"ref": "oussamamahfoudhi/linreg-svr", "kernel_id": "24444288"}, {"ref": "nourchenesaidi/house-prices", "kernel_id": "24379483"}, {"ref": "kartushovdanil/econometrics-is-all-you-need", "kernel_id": "24287682"}, {"ref": "min02yam/detailed-exploratory-data-analysis-using-r", "kernel_id": "24260868"}, {"ref": "wassimderbel/data-cleaning-feature-enigneering", "kernel_id": "24813468"}, {"ref": "maxitype/4-detailed-work-eda-pca-ensemble-beginner", "kernel_id": "24035693"}, {"ref": "gprakhar579/house-price-prediction-ml", "kernel_id": "24043382"}, {"ref": "opkaggle123/bomnu-7-feature-engineering-for-house-prices", "kernel_id": "24984290"}, {"ref": "kaiusdepaulacorrea/predict-sale-price-simple-approach", "kernel_id": "24908642"}, {"ref": "yuutaura/notebooka5f6106366", "kernel_id": "24051073"}, {"ref": "peterboshe/my-second-submission", "kernel_id": "24337734"}, {"ref": "mhmazmi/house-prediction", "kernel_id": "24872002"}, {"ref": "ujjwal55/advanced-house", "kernel_id": "24839318"}, {"ref": "euitaekim/simple-pca-k-means", "kernel_id": "24264504"}, {"ref": "phoebewongtw/tuning-kernel-ridge-0-11846", "kernel_id": "24424543"}, {"ref": "phoebewongtw/data-visualization-more-to-come", "kernel_id": "24328662"}, {"ref": "mustafamu/house-prices-cnn", "kernel_id": "24425098"}, {"ref": "mustafamu/house-prices-random-forest", "kernel_id": "24450578"}, {"ref": "daniel137/weird-regression-thing-danielb", "kernel_id": "24084842"}, {"ref": "daniel137/the-polyregressor", "kernel_id": "24342009"}, {"ref": "yubi45/house-prices", "kernel_id": "24128150"}, {"ref": "vatsalnanda/datascience-lab-assignment-1", "kernel_id": "24807583"}, {"ref": "fearsomejockey/advanced-house-prices-eda-model", "kernel_id": "24101597"}, {"ref": "sartajbirsingh/ds-assignment1", "kernel_id": "24904530"}, {"ref": "claudiocronin/notebookfc3997b1e4", "kernel_id": "24975308"}, {"ref": "hilmanhilmi/house-prices-predictive-analysis", "kernel_id": "24071348"}, {"ref": "kaixiongf/house-prices-advanced-regression-techniques", "kernel_id": "24798288"}, {"ref": "jananiharshu/house-price-prediction-advanced-regression", "kernel_id": "24113984"}, {"ref": "heilpi/predicting-house-prices-iteratively", "kernel_id": "24710187"}, {"ref": "fayyadsalahat/house-price-random-forest", "kernel_id": "24033687"}, {"ref": "chamberlainz/house-price-prediction-zhang-bolun", "kernel_id": "24364095"}, {"ref": "kavitakhandelwal1234/analysis-house-prices-and-regression", "kernel_id": "24323466"}, {"ref": "rhythmcam/house-price-pycaret-automl-model-blend", "kernel_id": "24139359"}, {"ref": "rhythmcam/function-labelencoding-using-cat-codes", "kernel_id": "24138797"}, {"ref": "rhythmcam/house-price-detect-outliers", "kernel_id": "24182563"}, {"ref": "rhythmcam/standardscaler-auto-label-encoding", "kernel_id": "24957962"}, {"ref": "rhythmcam/keras-tuner-house-price-prediction", "kernel_id": "24989202"}, {"ref": "rhythmcam/pseudo-labeling-prediction", "kernel_id": "24802024"}, {"ref": "rhythmcam/house-price-auto-label-encoding-by-dataset", "kernel_id": "24803268"}, {"ref": "rhythmcam/house-price-auto-label-encoding", "kernel_id": "24798030"}, {"ref": "rhythmcam/house-price-evalml-automl-prediction", "kernel_id": "24820739"}, {"ref": "rhythmcam/autokeras-house-price", "kernel_id": "24859921"}, {"ref": "rhythmcam/flaml-house-price-auto-prediction", "kernel_id": "24633413"}, {"ref": "rhythmcam/house-prices-pytorch-tabnet", "kernel_id": "24703969"}, {"ref": "rhythmcam/house-price-groupkfold-oof", "kernel_id": "24673167"}, {"ref": "amiraabdallahi/predicting-house-prices", "kernel_id": "24959056"}, {"ref": "mehrdadsadeghi/house-price-advanced-regression-techniques", "kernel_id": "24032276"}, {"ref": "sachinudgam/house-price-prediction-using-xgboost-in-r", "kernel_id": "24093954"}, {"ref": "abdelrahmanesmat/assignment-1", "kernel_id": "24961988"}, {"ref": "deedeenyc/house-prices-advanced-regression-techniques", "kernel_id": "24861881"}, {"ref": "bhingradiyameet/house-price", "kernel_id": "24601156"}, {"ref": "himalayakilaru/houseprices-advancedregression-elasticnet-0-12468", "kernel_id": "24657463"}, {"ref": "martymavis/dnn-tutorial", "kernel_id": "24311379"}, {"ref": "martymavis/a-study-on-regression-applied-to-the-ames-dataset", "kernel_id": "24363975"}, {"ref": "martymavis/comprehensive-data-exploration-with-python", "kernel_id": "24339901"}, {"ref": "imanmkhamis/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "24517848"}, {"ref": "yaribol/notebook2d27866fd1", "kernel_id": "24682240"}, {"ref": "seholeee/house-price-prediction-practice-eda", "kernel_id": "24046140"}, {"ref": "suvratarora/regression-alogrithm", "kernel_id": "24829432"}, {"ref": "tariqmuneer/house-prices-advanced-regression-techniques", "kernel_id": "24145456"}, {"ref": "omarhussien12/some-ml-on-numeric-features-only", "kernel_id": "24810794"}, {"ref": "dalveersingh3888/notebooke35773fa31", "kernel_id": "24873296"}, {"ref": "jimkaihuang/house-price-predict-regressions-and-trees", "kernel_id": "24459806"}, {"ref": "prateekiet/advance-houseprice-prediction", "kernel_id": "24056256"}, {"ref": "minzzb/comparisonoflralgos", "kernel_id": "24991281"}, {"ref": "minzzb/ds-kaggle-assignment", "kernel_id": "24986532"}, {"ref": "tahimakhatun/house-prices-advanced-regression-techniques", "kernel_id": "24458120"}, {"ref": "gozieibekwe/house-price-prediction", "kernel_id": "24249033"}, {"ref": "hari31416/data-cleaning", "kernel_id": "24343067"}, {"ref": "yashmestry/homeprediction-eda-and-analysis", "kernel_id": "24216613"}, {"ref": "aman11381/ds-assignment-1", "kernel_id": "24839131"}, {"ref": "harshitvish/da-assignment1", "kernel_id": "24990077"}, {"ref": "ritikpuri/house-price-advance-linear-regression", "kernel_id": "24986177"}, {"ref": "visheshgoyal21/house-prices-advanced-regression-techniques", "kernel_id": "24829926"}, {"ref": "kalyansekhar07/advance-housing-prices-data-exploration", "kernel_id": "24026703"}, {"ref": "janaarthanaharri/house-price-prediction", "kernel_id": "24171568"}, {"ref": "kaggleljk/notebook-housing-price", "kernel_id": "24116164"}, {"ref": "kgtwings/house-prediction", "kernel_id": "24151570"}, {"ref": "paritoshharora/101903069-data-science-convai-assignment1", "kernel_id": "24799587"}, {"ref": "gautammdiwan/linear-regresssion-using-rapids", "kernel_id": "24987770"}, {"ref": "harshthakur178/101916052-harshthakur", "kernel_id": "24878092"}, {"ref": "csuxiqi/python-xgboost-predict-house-price", "kernel_id": "24136662"}, {"ref": "shashank52ez/house-price-prediction", "kernel_id": "24730318"}, {"ref": "ayush2001/ayush-101903255-ds-assign1", "kernel_id": "24991175"}, {"ref": "arnavr10880/housepricepred-eda-ml", "kernel_id": "24937108"}, {"ref": "hopeowens/housing-price-mlm-competition", "kernel_id": "24523491"}, {"ref": "divyanshgoyal1906/sales-price-prediction", "kernel_id": "24990454"}, {"ref": "luckypen/exploring-housing-prices", "kernel_id": "24466935"}, {"ref": "shreybandlish/notebook2d7e3d1812", "kernel_id": "24961144"}, {"ref": "mohamedelgebaly/simplest-linear-regression", "kernel_id": "24952669"}, {"ref": "weshunt31/lin-reg-neural-net-comparison", "kernel_id": "24134616"}, {"ref": "husamj/house-prices-advanced-regression-techniques", "kernel_id": "24991836"}, {"ref": "ericlayer/house-prices-second-run", "kernel_id": "24595781"}, {"ref": "nevinselby/house-price-prediction", "kernel_id": "24663380"}, {"ref": "tarunvirsingh/lab-eval-101903202-tarunvirsingh", "kernel_id": "24891134"}, {"ref": "pandalovedeep/house-pricing-using-xgbr", "kernel_id": "24507424"}, {"ref": "kiwiece/house-price-prediction-as-a-beginner-to-regression", "kernel_id": "24539269"}, {"ref": "asatbek/housing-prices-eda-prediction", "kernel_id": "24571729"}, {"ref": "dhruvmehta2604/house-price-prediction", "kernel_id": "24894707"}, {"ref": "jashanjotsinghbindra/datascienceass1-101903159", "kernel_id": "24918744"}, {"ref": "bhavya1177/advanced-linear-regression", "kernel_id": "24869841"}, {"ref": "jhmmorgan/in-depth-eda-blended-using-quantiles-of-saleprice", "kernel_id": "24787165"}, {"ref": "eugeneryu/house-price-simple-eda-xgb-lgbm", "kernel_id": "24402908"}, {"ref": "pakkawatk/notebook18fda138a4", "kernel_id": "24111356"}, {"ref": "mohamadelshazly/house-prices-advanced-regression-techniques", "kernel_id": "24948388"}, {"ref": "sfktrkl/regressions", "kernel_id": "24861339"}, {"ref": "apanpa/house-prices", "kernel_id": "24156572"}, {"ref": "apanpa/house-prices-regression", "kernel_id": "24247475"}, {"ref": "samadazimiabriz/xgboost-regressor", "kernel_id": "24731699"}, {"ref": "samadazimiabriz/catboost-regressor", "kernel_id": "24515883"}, {"ref": "zahrahasanzadehh/preprocessing-houseprice", "kernel_id": "24217921"}, {"ref": "fatemehtavassoli/beginner-eda-with-feature-eng-and-blending-tvsoli", "kernel_id": "24544228"}, {"ref": "karthiksamala03/house-price-regression", "kernel_id": "24489880"}, {"ref": "ronney21/regression-algos-comparison-using-rapidsai", "kernel_id": "24894925"}, {"ref": "miteshchaudhary/house-sales-prediction-regression", "kernel_id": "24922138"}, {"ref": "brauliolv/advanced-regression-techniques-house-prices", "kernel_id": "24553259"}, {"ref": "sathyakrishnan12/advanced-regression-analysis-feb-2022", "kernel_id": "24516885"}, {"ref": "mdjafrilalamshihab/house-price-prediction-awesome-eda-result", "kernel_id": "24813835"}, {"ref": "ivanovaviktoria/notebook-ds-3", "kernel_id": "24615899"}, {"ref": "zahiraettajy/house-price-prediction", "kernel_id": "24351462"}, {"ref": "khizerjavaid/preprocessing-houseprice", "kernel_id": "24271919"}, {"ref": "nizarkarkar/house-prices-notebook-with-details", "kernel_id": "24432270"}, {"ref": "paulomarquies/hp-art-pycaret-blend", "kernel_id": "24833440"}, {"ref": "serhatderya/house-prices-xgboost", "kernel_id": "24409074"}, {"ref": "lobnaabdelaziz/house-price-prediction", "kernel_id": "24930261"}, {"ref": "bretttregoning/housing-prices-forecasting", "kernel_id": "24055778"}, {"ref": "maciejmalachowski/house-price-prediction-with-automl", "kernel_id": "24761229"}, {"ref": "maciejmalachowski/auto-eda", "kernel_id": "24672992"}, {"ref": "maciejmalachowski/house-price-prediction-with-random-forest", "kernel_id": "24703362"}, {"ref": "maciejmalachowski/house-price-prediction-with-decision-tree", "kernel_id": "24699514"}, {"ref": "alismangukiya/house-price", "kernel_id": "24308226"}, {"ref": "mohithhpillai/feature-engineering-for-house-prices-fac031", "kernel_id": "24674244"}, {"ref": "garvitagulati/assignment1-101903417", "kernel_id": "24918746"}, {"ref": "dorgavra/houses-prices-prediction-practice-1", "kernel_id": "24005003"}, {"ref": "llnovall/house-prices-advanced-regression-techniques", "kernel_id": "24527070"}, {"ref": "muhammadarkaanahnaf/my-first-submission", "kernel_id": "24036400"}, {"ref": "pdochannel/house-prices-xgb", "kernel_id": "24107391"}, {"ref": "halitvural/house-price-prediction-using-feature-selection", "kernel_id": "24974252"}, {"ref": "heggadal/house-price-prediction-xgboost", "kernel_id": "24044965"}, {"ref": "nedaamiri/house-prices-regularization", "kernel_id": "24563846"}, {"ref": "adarshrajesh23/advanced-house-price-prediction", "kernel_id": "24054184"}, {"ref": "rohan1506/pandas-tips-tricks-tutorial", "kernel_id": "24268312"}, {"ref": "rohan1506/optimizing-pandas-like-a-pro", "kernel_id": "24438047"}, {"ref": "mariewu/1st-try-to-predict", "kernel_id": "24062001"}, {"ref": "packinman/house-prices-simple-eda-and-xgbregressor", "kernel_id": "24404010"}, {"ref": "packinman/house-prices-stacked-regression", "kernel_id": "24513028"}, {"ref": "alogomachine/house-prices", "kernel_id": "24516766"}, {"ref": "takaakiminato/simplesttreemodel", "kernel_id": "24155800"}, {"ref": "ahmetcelik158/house-prices-eda-xgboost", "kernel_id": "24033622"}, {"ref": "peterbeardsmore/pbhouseattempt1", "kernel_id": "24054258"}, {"ref": "ahmednegm22/analisis-exploratorio-de-datos-con-python", "kernel_id": "24352376"}, {"ref": "kuzminrm/house-prices-xgboost-luster-feature-encoding", "kernel_id": "24666064"}, {"ref": "sr2pnn/house-price-regression", "kernel_id": "24214695"}, {"ref": "straightchlorine/ames-housing-data-comphrensive-analysis", "kernel_id": "24830643"}, {"ref": "akshaypawar7/house-price-prediction-advanced-regression", "kernel_id": "24704935"}, {"ref": "lszlbebesi/house-price-prediction-attempt-2", "kernel_id": "24546810"}, {"ref": "prikshitbatra/house-linear-regression-using-various-algorithms", "kernel_id": "24918713"}, {"ref": "ibrahimhyoussef/house-prices-analysis-models", "kernel_id": "24322035"}, {"ref": "ignaciojosbaldoncini/model-gen", "kernel_id": "24857196"}, {"ref": "ignaciojosbaldoncini/8features", "kernel_id": "24596863"}, {"ref": "ignaciojosbaldoncini/week3-fe", "kernel_id": "24741878"}, {"ref": "ignaciojosbaldoncini/features", "kernel_id": "24370380"}, {"ref": "ivnmeroi/models", "kernel_id": "24593927"}, {"ref": "asmaaemad88/regression-algorithms-compared", "kernel_id": "24938475"}, {"ref": "shaileshbillava/house-price-detection-competition", "kernel_id": "24723279"}, {"ref": "shankhadeepsarkar2/notebookf00aee6f21", "kernel_id": "24784898"}, {"ref": "brooklynbrookly/house-pricing-beginner-competition", "kernel_id": "24735694"}, {"ref": "anerishingde/how-to-be-in-top-10-for-beginner", "kernel_id": "24528252"}, {"ref": "abdelrahmanohassan/sklearn-vs-home-made-optimizer-for-simple-problem", "kernel_id": "24971443"}, {"ref": "udayonmukh/data-science-lab-3", "kernel_id": "24578098"}, {"ref": "luckopedia/house-prices-prediction-using-qlattice", "kernel_id": "24600766"}, {"ref": "abhijeetsenapati/regression-assignment", "kernel_id": "24878263"}, {"ref": "jalalnablsi/my-first-xgb", "kernel_id": "24622085"}, {"ref": "yangzhou20010810/regularized-linear-models", "kernel_id": "24611865"}, {"ref": "thanaratfankhiew/house-price", "kernel_id": "24721160"}, {"ref": "thanaratfankhiew/house-price-prediction", "kernel_id": "24750301"}, {"ref": "tabzzz/advance-house-prediction", "kernel_id": "24985548"}, {"ref": "shobheet/data-science-assignment1-linear-regression", "kernel_id": "24988865"}, {"ref": "lsmith/haystacks-case-study-letisha-smith", "kernel_id": "25099066"}, {"ref": "adhok93/self-normalizing-neural-net", "kernel_id": "25155272"}, {"ref": "adhok93/autoencoders-neural-network-confidence-intervals", "kernel_id": "25929606"}, {"ref": "moghazy/notebookf00ab2ae1d", "kernel_id": "25307650"}, {"ref": "moghazy/house-data-udacity", "kernel_id": "25286757"}, {"ref": "pyim59/pycaret-house-prices-cours-ml-v1-1", "kernel_id": "25306494"}, {"ref": "miroslavtyurin/novice-ensemble-xgb-rf-lasso-minfe-houses-0-12576", "kernel_id": "25772185"}, {"ref": "burkaykirnik/veri-bilimi-alt-kurulu-15-03-22", "kernel_id": "25382960"}, {"ref": "shivamnegi1993/house-prices-regressions-will-it-boom", "kernel_id": "25914613"}, {"ref": "andyzeu/beginner-implementation-just-the-bare-minimum", "kernel_id": "25008666"}, {"ref": "funxexcel/house-prices-base-solution-rf-students", "kernel_id": "25946699"}, {"ref": "funxexcel/house-prices-base-solution-rf", "kernel_id": "25944793"}, {"ref": "ahmedadel1725/notebookb14b175735", "kernel_id": "25262371"}, {"ref": "ahmedadel1725/notebookcd494b9bd2", "kernel_id": "25198951"}, {"ref": "jayahn0104/tutorial-regrssion-tune-sklearn-skorch", "kernel_id": "25255404"}, {"ref": "lequestion/ucl-presentation-predicting-house-prices", "kernel_id": "25382889"}, {"ref": "romantz/house-prices-eda-feature-eng-and-basic-models", "kernel_id": "25286879"}, {"ref": "ziyad19/penalized-regression-and-xgbregressor", "kernel_id": "25910494"}, {"ref": "aminasdzdh/house-price-prediction-eda-solution", "kernel_id": "25332397"}, {"ref": "putdejudomthai/house-price-amstat-analytics-and-regressor-ml", "kernel_id": "25232010"}, {"ref": "putdejudomthai/predict-house-price-by-cv-score", "kernel_id": "25247322"}, {"ref": "vitorquintella/house-price-linear-regression-model-38958b", "kernel_id": "25549301"}, {"ref": "alejandromorales1/store-sales-ts-wip", "kernel_id": "25261423"}, {"ref": "parshwa52/exp5-house-price-prediction", "kernel_id": "25085142"}, {"ref": "rinichristy/house-prices-advanced-regression-techniques", "kernel_id": "25160383"}, {"ref": "parisrohan/rp-house-price-prediction", "kernel_id": "25120271"}, {"ref": "parisrohan/rohan-house-price-prediction", "kernel_id": "25235741"}, {"ref": "pratik1120/housing-prices-eda-processing-and-modelling", "kernel_id": "25119752"}, {"ref": "kunlee21/house-prices-eda-and-models", "kernel_id": "25653071"}, {"ref": "vishu199/house-price-predication", "kernel_id": "25350611"}, {"ref": "niketanmoon/house-prices-prediction-part-2-with-fe", "kernel_id": "25178334"}, {"ref": "niketanmoon/house-prices-prediction-part-1", "kernel_id": "25103132"}, {"ref": "ciropaiva/my-first-house-pricing-submission-xgb-in-r", "kernel_id": "25126388"}, {"ref": "songwonmin/linear-model-eng", "kernel_id": "25576555"}, {"ref": "yatindraherwathe/regression-techniques-with-rfe-l1-l2-svc", "kernel_id": "25236551"}, {"ref": "egorkalugin/houses-prices", "kernel_id": "25236488"}, {"ref": "taranmarley/automl-from-scratch-5", "kernel_id": "25682832"}, {"ref": "taranmarley/fe-eda-and-lightgbm-ensemble", "kernel_id": "25104794"}, {"ref": "ridaamjad/using-clustering-to-make-features", "kernel_id": "25066035"}, {"ref": "vinitg96/top10-house-prices", "kernel_id": "25376354"}, {"ref": "engmahmoudkhaled/house-prices-mahmoud-khaled", "kernel_id": "25139216"}, {"ref": "suraz11/house-price-prediction-xgboost-with-grid-search", "kernel_id": "25384672"}, {"ref": "farzonaeraj/home-price-prediction-with-boosting-algoritms", "kernel_id": "25868296"}, {"ref": "harshitgoel2306/rapids-linear-regression", "kernel_id": "25014498"}, {"ref": "salmahasan/housing-eda", "kernel_id": "25155592"}, {"ref": "osamaismael/housepricing", "kernel_id": "25940930"}, {"ref": "saivenkataramana/houseprices-prediction-deepneuralnets-tensorflow2", "kernel_id": "25752239"}, {"ref": "abdelrahmantarek13/houseprice-step-by-step", "kernel_id": "25893981"}, {"ref": "akouaorsot/house-price-prediction", "kernel_id": "25192665"}, {"ref": "akouaorsot/house-price-regression", "kernel_id": "25181546"}, {"ref": "muhammadsaepurrohman/comprehensive-guide-on-feature-selection", "kernel_id": "25669771"}, {"ref": "kimchanyoung/3d-t-sne-and-reg-model-comparison", "kernel_id": "25378983"}, {"ref": "vladimirdanylov/house-pricing-prediction", "kernel_id": "25522012"}, {"ref": "maryammaged/notebook025a9de780", "kernel_id": "25893942"}, {"ref": "nguu0123/predicting-house-price-with-simple-regressors", "kernel_id": "25706936"}, {"ref": "mdnam2410/house-prices", "kernel_id": "25712968"}, {"ref": "ishmamsolaiman/house-prices", "kernel_id": "25441090"}, {"ref": "chiragjrana/ds-expt-5", "kernel_id": "25085154"}, {"ref": "tracyporter/ameshouse-prices-correlation-feature-selection", "kernel_id": "25296347"}, {"ref": "nalinnagar/sklearn-and-house-price-prediction-baseline", "kernel_id": "25304387"}, {"ref": "hemasowjanyamamidi/housingpricesprediction", "kernel_id": "25534151"}, {"ref": "muhammadali786/house-price-prediction-and-forecasting", "kernel_id": "25818921"}, {"ref": "yashinkuo/house-prices", "kernel_id": "25365551"}, {"ref": "chantom/dimension-reduction-pca-on-numeric-variables", "kernel_id": "25508365"}, {"ref": "bidoboy/notebook274a8cfdc1", "kernel_id": "25155652"}, {"ref": "mohamedfathi07/house-price-predictions", "kernel_id": "25893982"}, {"ref": "akshpreetsingh/datascience-assignment", "kernel_id": "25001606"}, {"ref": "kareemfouad/house-price-prediction-regression", "kernel_id": "25198678"}, {"ref": "ishaniarya/assignment-1", "kernel_id": "25011049"}, {"ref": "asmaamohy/notebook3d978d5d01", "kernel_id": "25616973"}, {"ref": "nobodysboredom/feature-engineering-for-house-prices-tutorial", "kernel_id": "25998766"}, {"ref": "mohammedadeleltohamy/house-prices-prediction", "kernel_id": "25213960"}, {"ref": "sarahmamdouh/house-price", "kernel_id": "25156549"}, {"ref": "shivangikochrekar/house-price-prediction", "kernel_id": "25060085"}, {"ref": "darshitsharma2000/housingpredict2", "kernel_id": "25664624"}, {"ref": "jeonghyunha/house-prices-clone-coding", "kernel_id": "25482959"}, {"ref": "jeonghyunha/house-prices-regression-model", "kernel_id": "25490727"}, {"ref": "germainroussez/averagingmodels-top-5", "kernel_id": "25637221"}, {"ref": "vladimirabramov/house-prices-with-stacking-regressor", "kernel_id": "25147231"}, {"ref": "oviuuu/square-footage-linreg", "kernel_id": "25288919"}, {"ref": "yaraabdelmegeed/housing-prices", "kernel_id": "25155709"}, {"ref": "shimjongsoo/house-prices-regression-linear-tree-stacking", "kernel_id": "25479171"}, {"ref": "pear2jam/simple-stacking-7", "kernel_id": "25648916"}, {"ref": "howaidaallam/prediction-house-price", "kernel_id": "25280188"}, {"ref": "howaidaallam/house-price-prediction", "kernel_id": "25264758"}, {"ref": "kartushovdanil/mlops-how-to-be-rock-of-ml", "kernel_id": "25803398"}, {"ref": "abdelrhmaneltawagny/house-price-in-the-eye-of-visualization", "kernel_id": "25784866"}, {"ref": "joannaandrews/template-house-prices-regression", "kernel_id": "25957457"}, {"ref": "maxi13/house-pricing-using-stacking", "kernel_id": "25050369"}, {"ref": "suhailo23/tf-saleprice-regresion-multiple", "kernel_id": "25376088"}, {"ref": "yusufyldz/house-prices-advanced-regression-techniques", "kernel_id": "25307606"}, {"ref": "greengamma/house-prices-3-different-models", "kernel_id": "25155747"}, {"ref": "adriangonzalezcortes/first-machine-learning-competition-with-rf-xgb", "kernel_id": "25482416"}, {"ref": "limyenwee/stacked-ensemble-models-top-3-on-leaderboard", "kernel_id": "25420818"}, {"ref": "gabedossantos/house-prices-stacked-regression-top-8", "kernel_id": "25843243"}, {"ref": "phoenixaditya/convo-ds-assign1-101916012", "kernel_id": "25010433"}, {"ref": "muhammadfawzy/task-2-ml", "kernel_id": "25155610"}, {"ref": "ayodejiyekeen/house-price-prediction-advanced-regression", "kernel_id": "25215906"}, {"ref": "ayodejiyekeen/house-price-prediction-pytorch", "kernel_id": "25679409"}, {"ref": "julioam/notebook-inspired-by-stacked-ensemble-models", "kernel_id": "25210392"}, {"ref": "jiya7316/house-prices-regression-techniques", "kernel_id": "25789395"}, {"ref": "jiya7316/house-prices-what-s-a-good-score", "kernel_id": "25941203"}, {"ref": "jiya7316/house-prices-what-s-a-good-score-e53eb9", "kernel_id": "25941205"}, {"ref": "jiya7316/house-prices-what-s-a-good-score-bf5338", "kernel_id": "25941206"}, {"ref": "rhythmcam/using-feature-importance-util", "kernel_id": "25771767"}, {"ref": "rhythmcam/get-feature-importance-py", "kernel_id": "25771534"}, {"ref": "rhythmcam/function-feature-importance-house-price", "kernel_id": "25757694"}, {"ref": "rhythmcam/house-price-dt-rcv-make-scorer-rmse", "kernel_id": "25962587"}, {"ref": "rhythmcam/house-price-pycaret-model-blend", "kernel_id": "25158053"}, {"ref": "rhythmcam/house-price-pycaret-lightgbm", "kernel_id": "25181360"}, {"ref": "rhythmcam/keras-randomforestmodel-house-price", "kernel_id": "25314400"}, {"ref": "rhythmcam/autogluon-timelimit-houseprice", "kernel_id": "25533675"}, {"ref": "dhirendra73/house-price-advance-regression-90-accuracy", "kernel_id": "25675469"}, {"ref": "lakhankumawat/house-price-predictions", "kernel_id": "25141429"}, {"ref": "jkanthony/house-prices-advanced-regression", "kernel_id": "25085269"}, {"ref": "jkanthony/advanced-regression-all-regression-methods", "kernel_id": "25462132"}, {"ref": "muhammadfahmi74/firstsubmissionforme", "kernel_id": "25893921"}, {"ref": "binfeng2021/structured-data-project-house-price-prediction", "kernel_id": "25656642"}, {"ref": "leejulian/housing-first-try-of-targetencoder", "kernel_id": "25193770"}, {"ref": "echoliang/house-prices-randomforest", "kernel_id": "25983376"}, {"ref": "abhirupghosh184098/advanced-regression-a-beginner-s-perspective", "kernel_id": "25863256"}, {"ref": "zouhirhtoura/comprehensive-data-regression-with-python", "kernel_id": "25007375"}, {"ref": "abhinavgembali/notebookbde9a8a616", "kernel_id": "25505933"}, {"ref": "diyatakkar/diya-101903147", "kernel_id": "25004613"}, {"ref": "numbermere0/houseprice", "kernel_id": "25426887"}, {"ref": "omarhussien12/simple-statistical-analysis-ml", "kernel_id": "25104511"}, {"ref": "omarhussien12/simple-ml-and-eda", "kernel_id": "25071919"}, {"ref": "netrahirani/101903308-netrahirani", "kernel_id": "25015464"}, {"ref": "shrutykhullar/assign-da1", "kernel_id": "25006604"}, {"ref": "iketuba/house-price-2022-06-24", "kernel_id": "25252554"}, {"ref": "hossammohameddergham/house-prices-lr-rf", "kernel_id": "25155605"}, {"ref": "ekarthjain/regression", "kernel_id": "25001691"}, {"ref": "madhavkh14/notebook5c0f4845ec", "kernel_id": "25239845"}, {"ref": "anikaitbanga/ass1-101903002", "kernel_id": "25015785"}, {"ref": "jappreetkaur/101903188-ds", "kernel_id": "25015035"}, {"ref": "himanshisahu/house-price-prediction-dsassignment", "kernel_id": "25014436"}, {"ref": "aasthanarang23/house-price-prediction", "kernel_id": "25013469"}, {"ref": "aasthanarang23/house-price-pred", "kernel_id": "25013901"}, {"ref": "gautammdiwan/doing-linear-regresssion-using-rapids", "kernel_id": "25003170"}, {"ref": "pranjalsingh0102/notebook2e8b5ead03", "kernel_id": "25015839"}, {"ref": "harshitkhosla/notebooka6da9d98e1", "kernel_id": "25015479"}, {"ref": "gurjotkaur25/101903339-gurjotkaur-ds1", "kernel_id": "25013297"}, {"ref": "ravi20076/houseprice-bootstrappingensembles-pipelines", "kernel_id": "25383632"}, {"ref": "salmasamir1/random-forest-regressor-model", "kernel_id": "25200020"}, {"ref": "kashishsingla12/notebook250f618ace", "kernel_id": "25012683"}, {"ref": "byron1985/byronshen08", "kernel_id": "25395505"}, {"ref": "mohamedelgebaly/top-8-solution-using-lasso-and-xgboost", "kernel_id": "25039513"}, {"ref": "abhijeetp8946/house-price-prediction", "kernel_id": "25255355"}, {"ref": "alpayabbaszade/xgboost-model", "kernel_id": "25210914"}, {"ref": "mansi4/a1dsa", "kernel_id": "25013828"}, {"ref": "dhritichopra/dhriti-chopra-101903049", "kernel_id": "25013021"}, {"ref": "mohamedantargad/notebooke914737996", "kernel_id": "25894544"}, {"ref": "ahmedmuelkholy/housing-prices", "kernel_id": "25260754"}, {"ref": "ishitaaaaaaa/housepriceprediction-5algo-s", "kernel_id": "25007451"}, {"ref": "pjain2001/notebook8d0aa5e91c", "kernel_id": "25285308"}, {"ref": "rezakusnadi/eda-house-prices-in-r", "kernel_id": "25074050"}, {"ref": "zgrbalbay/house-prices-advanced-regression-techniques", "kernel_id": "25926711"}, {"ref": "dnyaneshwalwadkar/hpp-with-eda-advance-regression", "kernel_id": "25624346"}, {"ref": "ronensaviz/house-prices-challenge-ml", "kernel_id": "25947907"}, {"ref": "thanhthuyantran/house-price-linear-regression-model", "kernel_id": "25081396"}, {"ref": "mohamedredamorsy/notebookba187d946a", "kernel_id": "25307691"}, {"ref": "simonedangelo/house-price-regression-competition", "kernel_id": "25970542"}, {"ref": "bell2psy/house-price-practice", "kernel_id": "25229935"}, {"ref": "pranavchaniyara/house-price", "kernel_id": "25838240"}, {"ref": "romandebruyne/house-price-regression-eda-model-playground", "kernel_id": "25385020"}, {"ref": "davronsolehzoda/homeless", "kernel_id": "25798735"}, {"ref": "simarpreetkaur652/101917177", "kernel_id": "25013115"}, {"ref": "somesh140/house-price-prediction-model", "kernel_id": "25259721"}, {"ref": "aleksrusso/home-price", "kernel_id": "25868316"}, {"ref": "muhammadusgan/house-price-prediction", "kernel_id": "25296009"}, {"ref": "dk7731/ds-kaggle", "kernel_id": "25325106"}, {"ref": "dinamouhsen/housepricetest", "kernel_id": "25278356"}, {"ref": "jesussevillano/house-price-prediction-jesus-sevillano", "kernel_id": "25615672"}, {"ref": "priyankagedam/house-prices-base-solution-rf-students", "kernel_id": "25947107"}, {"ref": "inderpal0013/house-price-assign", "kernel_id": "25016443"}, {"ref": "inderpal0013/housepprediction-final", "kernel_id": "25014833"}, {"ref": "concyclics/tuning-for-decisiontree-with-simulated-annealing", "kernel_id": "25320574"}, {"ref": "amalismaiil/predicting-house-prices", "kernel_id": "25054082"}, {"ref": "shahnazjafari/house-price-regression-lasso-ridge", "kernel_id": "25062355"}, {"ref": "shahnazjafari/house-price-decision-tree-bagging", "kernel_id": "25317460"}, {"ref": "iyuvraj/assignment1ds-101903323", "kernel_id": "25038175"}, {"ref": "gabrieldu69/house-price-eda-prediction", "kernel_id": "25973513"}, {"ref": "straightchlorine/ames-housing-prices-prediction", "kernel_id": "25194964"}, {"ref": "nsahoo34/house-price-prediction-eda", "kernel_id": "25817490"}, {"ref": "abhishek123maurya/advanced-regression-technique", "kernel_id": "25124524"}, {"ref": "harikadam/house-price-prediction", "kernel_id": "25297289"}, {"ref": "mostafawkh/house-prices-full-notebook", "kernel_id": "25393834"}, {"ref": "paznahmias/houseprices", "kernel_id": "25994523"}, {"ref": "andrstamsy/house-price-prediction", "kernel_id": "25049688"}, {"ref": "yiukitcheung/house-price-advanced", "kernel_id": "25625794"}, {"ref": "hongjunepark/house-prices-project", "kernel_id": "25310702"}, {"ref": "javigallego/top-10-eda-fe-pycaret-optuna", "kernel_id": "25007205"}, {"ref": "manaswini25/ds-assignment1", "kernel_id": "25008716"}, {"ref": "ananmohamed/housing-prices-eda", "kernel_id": "25155624"}, {"ref": "dmitirycherezov/house-price-prediction", "kernel_id": "25408759"}, {"ref": "dapin1490/house-prices", "kernel_id": "25252960"}, {"ref": "minseokkk/houseprices", "kernel_id": "25550243"}, {"ref": "nohamahmoud22/house-pricing-eda-ml", "kernel_id": "25155572"}, {"ref": "nohamahmoud22/housing-prices-eda-ml-2-competition", "kernel_id": "25261979"}, {"ref": "manraj27/kanwarmanrajsingh", "kernel_id": "25015780"}, {"ref": "illiaparfeniuk/house-prices-regression", "kernel_id": "25184605"}, {"ref": "sagdayasser/home-price-answer", "kernel_id": "25157489"}, {"ref": "amishagoel555/house-prediction", "kernel_id": "25013611"}, {"ref": "moakarim/house-pr", "kernel_id": "25262226"}, {"ref": "rijul757/house-price-prediction", "kernel_id": "25005587"}, {"ref": "rijul757/house-price-pred", "kernel_id": "25013859"}, {"ref": "yaraeha/house-price-eda-ml-model", "kernel_id": "25155633"}, {"ref": "nourhananoaman/housing-ml-course", "kernel_id": "25155562"}, {"ref": "mohamedarafa0527/house-prices-advanced-regression-technique", "kernel_id": "25155641"}, {"ref": "valentinkonarski/pr-diction-de-prix", "kernel_id": "25633161"}, {"ref": "navneetka13/101916030-navneet", "kernel_id": "25002642"}, {"ref": "solomonteng/artofensemble-housingprice", "kernel_id": "25473376"}, {"ref": "yasserashrafmohamed/house-prices-advanced-regression-techniques", "kernel_id": "25894216"}, {"ref": "shubhamgoel21699/shubhamgoel-101903748-3coe28-assignment-1", "kernel_id": "25013206"}, {"ref": "drishti1207/drishtiagarwal-401903014-ds-assign1", "kernel_id": "25013392"}, {"ref": "apoorv2310/kaggle-notebook", "kernel_id": "25013788"}, {"ref": "panavaggarwal/ds-ass1-101903657", "kernel_id": "25015290"}, {"ref": "wonjinkim1010/prediction-of-house-prices-regression-model", "kernel_id": "25544979"}, {"ref": "avishekgurung/house-prices-advanced-regression-techniques", "kernel_id": "25405089"}, {"ref": "ramezessam10/notebook71c80eb530", "kernel_id": "25925261"}, {"ref": "ghadialqahtani/project", "kernel_id": "25782065"}, {"ref": "quentincollie/predicting-missing-values-with-random-forest", "kernel_id": "25780744"}, {"ref": "geraldreyes/square-footage-linreg", "kernel_id": "25311122"}, {"ref": "alishafiq/residual", "kernel_id": "25306766"}, {"ref": "l0ngant/housing-prices", "kernel_id": "25952976"}, {"ref": "hajaralshogeir/notebook658fa4b2be", "kernel_id": "25792601"}, {"ref": "lclearn/demo1", "kernel_id": "25581296"}, {"ref": "nourakhalid/notebook3cab7f142a", "kernel_id": "25805985"}, {"ref": "adhok93/streamlit-app-for-predicting-house-prices", "kernel_id": "26107795"}, {"ref": "adityabhat/house-prices-regression-with-neural-networks", "kernel_id": "26384391"}, {"ref": "nathpriyanka/logging-experiments-eda-in-excel-vevestax", "kernel_id": "26044278"}, {"ref": "maulberto3/house-prices-probabilistic-nn-cauchy", "kernel_id": "26611061"}, {"ref": "saeedghadiri/lightgbm-lasso-feature-selection-top-5", "kernel_id": "26152899"}, {"ref": "tejasurya/house-price-ensemble-lightgbm-xgb-lasso-ridge", "kernel_id": "26237293"}, {"ref": "asmolovskij/from-eda-to-model-creation", "kernel_id": "26759012"}, {"ref": "lizyang/houses-prices-complete-solution", "kernel_id": "26127285"}, {"ref": "harsh03/notebook21a850b603", "kernel_id": "26388911"}, {"ref": "harikirank/missing-data-imputation", "kernel_id": "26348002"}, {"ref": "kuryu920623/simple-analysis", "kernel_id": "26576120"}, {"ref": "kuryu920623/house-price-prediction", "kernel_id": "26756518"}, {"ref": "carlkirstein/housing-prices-modelling-r-sq-90", "kernel_id": "26730706"}, {"ref": "otugrul/house-price-prediction-with-eda-score-0-1358", "kernel_id": "26689261"}, {"ref": "rameshrallapalli/house-price-regression-models", "kernel_id": "26318383"}, {"ref": "sgiuri/ml-pd-house", "kernel_id": "26863675"}, {"ref": "sharanharsoor/right-way-of-doing-regression-using-stats-model", "kernel_id": "26055082"}, {"ref": "walaaahmed5/house-prices-regression-model", "kernel_id": "26115729"}, {"ref": "aniket1993/regression-ensemble-customgridcv-func-top8", "kernel_id": "26416208"}, {"ref": "gkambasta/gaurav-nwu-houseprice-assign2", "kernel_id": "26236606"}, {"ref": "safaafathii/advanced-regression-house-pricing-safaa", "kernel_id": "26108161"}, {"ref": "laplace8/house-price-ai-guide-220626", "kernel_id": "26564696"}, {"ref": "laplace8/house-price-ai-study-guide-220626", "kernel_id": "26566370"}, {"ref": "laplace8/house-price-practice-220426", "kernel_id": "26567230"}, {"ref": "binarymachine/house-pricing-explained-step-by-step", "kernel_id": "26113339"}, {"ref": "afi1289/comprehensive-plotly", "kernel_id": "26630611"}, {"ref": "shagkala/intuitive-trick-to-find-important-features", "kernel_id": "26742438"}, {"ref": "nedarafie67/competition-predicting-housing-prices", "kernel_id": "26797923"}, {"ref": "taranmarley/sharp-aware-neural-network", "kernel_id": "26254273"}, {"ref": "francescovattiato/pca-ensembling-for-house-price-prediction", "kernel_id": "26113931"}, {"ref": "hwangchanghyun/autofeat-auto-f-e-library-it-s-simple", "kernel_id": "26093478"}, {"ref": "nolenja/house-prices-prediction-using-python", "kernel_id": "26752594"}, {"ref": "nitishsinghal/price-prediction-polynomial-eda-clustering-top", "kernel_id": "26293461"}, {"ref": "inzamamulalam/top-1-dl-solution-with-pytorch", "kernel_id": "26086922"}, {"ref": "bharathbanala/house-price-brb-pred", "kernel_id": "26691098"}, {"ref": "yeonseokcho/house-prices-advanced-regression", "kernel_id": "26172806"}, {"ref": "zacharyluscher/model-explainability-with-shap-only-guide-u-need", "kernel_id": "26757071"}, {"ref": "zacharyluscher/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "26757194"}, {"ref": "vanguarde/study-series-uplift-modeling", "kernel_id": "26130086"}, {"ref": "afnanetman/house-price-prediction", "kernel_id": "26044835"}, {"ref": "marimmedhat/house-price-prediction-mariam-medhat", "kernel_id": "26073846"}, {"ref": "abdallahmohamed99/house-prices-competition", "kernel_id": "26090190"}, {"ref": "ahmedbinshafaat/housing-pricing-predictions-advanced-regression", "kernel_id": "26511714"}, {"ref": "raj1720/house-price-prediction-feature-selection", "kernel_id": "26411899"}, {"ref": "raj1720/house-prices-predictions", "kernel_id": "26403826"}, {"ref": "uyeanil/houseprices-simple-ml-workflow-top-11", "kernel_id": "26288142"}, {"ref": "georgyzubkov/house-prices-feature-engeneering-eda", "kernel_id": "26177652"}, {"ref": "nkitgupta/feature-engineering-and-feature-selection", "kernel_id": "26636451"}, {"ref": "bhavinmoriya/pycaret-introduction-classification-regression", "kernel_id": "26008344"}, {"ref": "loginovalex/house-pricing", "kernel_id": "26871896"}, {"ref": "couldbessa/house-prices", "kernel_id": "26899109"}, {"ref": "alid3bs/xgboost-vs-gradientboosting", "kernel_id": "26124830"}, {"ref": "hebaabdelhakam/houseing-prices", "kernel_id": "26130576"}, {"ref": "asmaamohy/house-prices", "kernel_id": "26116012"}, {"ref": "nobodysboredom/feature-engineering-for-house-prices-ongoing", "kernel_id": "26030284"}, {"ref": "harvindarjunrai/predicting-house-prices-v1", "kernel_id": "26641017"}, {"ref": "fatmamarzouk/predicting-house-price-with-linearregression", "kernel_id": "26079744"}, {"ref": "zainhana/predict-house-price", "kernel_id": "26374073"}, {"ref": "khushalkarim/house-prices-advanced-regression-techniques", "kernel_id": "26062541"}, {"ref": "ayahhhany/notebookff4d3ae060", "kernel_id": "26061242"}, {"ref": "azizaafrin/notebook6a60f3364d", "kernel_id": "26847115"}, {"ref": "pythonkumar/xgboost-hyperparameters-excellent-plots-acc-91", "kernel_id": "26688444"}, {"ref": "pythonkumar/feat-select-normal-eqn-feat-imp", "kernel_id": "26728717"}, {"ref": "eslam101ahmed/house-price-prediction-top-3", "kernel_id": "26509471"}, {"ref": "kowshikdebnath/house-prices-logisticregression-0-14638", "kernel_id": "26230519"}, {"ref": "kowshikdebnath/advance-house-price-prediction-0-12541", "kernel_id": "26365641"}, {"ref": "omarhamedmarie/house-prices-eda-xgboost", "kernel_id": "26098810"}, {"ref": "kanishkpareek/house-price-prediction-neural-step-by-step", "kernel_id": "26658184"}, {"ref": "tomhardman/housing-prices-competition", "kernel_id": "26422488"}, {"ref": "aminahnurrahmawati/house-price-prediction", "kernel_id": "26197407"}, {"ref": "ahmedmsoliman/house-prices", "kernel_id": "26431582"}, {"ref": "th4tkh13m/xgboostregression-with-pipeline-and-gridsearchcv", "kernel_id": "26303985"}, {"ref": "hansenlayanardi/comparing-lasso-xgboost-ridge", "kernel_id": "26315449"}, {"ref": "zocainviken/house-prices-prediction", "kernel_id": "26357716"}, {"ref": "mahmoudshabban/final-submission", "kernel_id": "26077022"}, {"ref": "vidiqlogy/competitions-house-price-prediction-easyway", "kernel_id": "26272268"}, {"ref": "mohandabdelhalim/mohand-abdelhalim", "kernel_id": "26055272"}, {"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "pauloosorio/outlier-detection-with-umap", "kernel_id": "26776797"}, {"ref": "hasaber8/dsbda-mini-project", "kernel_id": "26690397"}, {"ref": "rhythmcam/find-out-sd-columns-list-house-price", "kernel_id": "26682853"}, {"ref": "rhythmcam/houseprice-autopreprocessbest-0-12567", "kernel_id": "26688977"}, {"ref": "rhythmcam/houseprice-feature-importance", "kernel_id": "26706978"}, {"ref": "rhythmcam/house-price-train-test-preprocess", "kernel_id": "26890923"}, {"ref": "rhythmcam/house-price-lightautoml-prediction", "kernel_id": "26866959"}, {"ref": "rhythmcam/house-price-pipeline-prediction", "kernel_id": "26859939"}, {"ref": "rhythmcam/house-price-h2o-seed-ensemble", "kernel_id": "26813228"}, {"ref": "rhythmcam/houseprice-with-flaml-autopreprocess", "kernel_id": "26511586"}, {"ref": "rhythmcam/houseprice-flaml-autopreprocess-labelencoder", "kernel_id": "26513170"}, {"ref": "rhythmcam/houseprice-with-flaml-autopreprocessdevide", "kernel_id": "26513672"}, {"ref": "rhythmcam/houseprice-flaml-minmaxscaler", "kernel_id": "26579069"}, {"ref": "rhythmcam/houseprice-flaml-robustscaler", "kernel_id": "26593684"}, {"ref": "rhythmcam/houseprice-flaml-powertransformer", "kernel_id": "26593708"}, {"ref": "rhythmcam/houseprice-flaml-maxabsscaler", "kernel_id": "26593889"}, {"ref": "sakshirajpura/houseprice-1", "kernel_id": "26266652"}, {"ref": "adibouayjan/house-price-step-by-step-modeling", "kernel_id": "26344932"}, {"ref": "hoturam/house-prices-advanced-regression-techniques", "kernel_id": "26493276"}, {"ref": "yutaimsk/house-price-baseline", "kernel_id": "26165534"}, {"ref": "zoeyxfzhang/prediction-house-price", "kernel_id": "26634914"}, {"ref": "davos2910/house-price-version-1-r-2-score-0-83", "kernel_id": "26754638"}, {"ref": "ahmedgamal12/hoouseprice-preprocessing", "kernel_id": "26713343"}, {"ref": "amrelsayyad/house-prices-advanced-regression-techniques", "kernel_id": "26055034"}, {"ref": "bhagwanbansal/notebookeaa47047d4", "kernel_id": "26541608"}, {"ref": "pratimborah/comprehensive-data-exploration-with-python", "kernel_id": "26447367"}, {"ref": "bong0506/house-price", "kernel_id": "26332212"}, {"ref": "coltamborn/colt-housing-satyam", "kernel_id": "26880668"}, {"ref": "nadaadelmousa/housing-prices-kaggle", "kernel_id": "26137844"}, {"ref": "joonasyoon/dl-practice-on-regression", "kernel_id": "26379113"}, {"ref": "guyshalbasson/house-pricing", "kernel_id": "26185416"}, {"ref": "dhinaharp/house-price-data-analysis", "kernel_id": "26166572"}, {"ref": "mhelgarnosy/house-price-piplines", "kernel_id": "26114387"}, {"ref": "nickdeoki/final-project", "kernel_id": "26558099"}, {"ref": "abdelrahmanae/boston-house-price-analysis", "kernel_id": "26845628"}, {"ref": "nevosharabi/house-prices", "kernel_id": "26372116"}, {"ref": "jacobbenari/testing-notebook-house-prices", "kernel_id": "26367864"}, {"ref": "jacobbenari/ml-course-2022-house-prices", "kernel_id": "26314321"}, {"ref": "agyanatma/linear-regression-data-mining-house-price", "kernel_id": "26931029"}, {"ref": "sarvarxasanov/house-price-prediction", "kernel_id": "26685148"}, {"ref": "rab5786/house-price-prediction", "kernel_id": "26060891"}, {"ref": "asmaabdolahpoor/price-prediction-using-gridsearch-with-many-models", "kernel_id": "26294947"}, {"ref": "abhinandanreddy/house-prices-ensemble-of-7-algorithms", "kernel_id": "26155890"}, {"ref": "kaarthilalgy/project-preprocessing", "kernel_id": "26293241"}, {"ref": "bhagatsurya228/house-price-linear-regression-with-eda", "kernel_id": "26664506"}, {"ref": "shalevsaban/house-pricing", "kernel_id": "26206946"}, {"ref": "meeratif/housing-price-prediction-randomforest-and-eda", "kernel_id": "26086597"}, {"ref": "jamesnakano/top-18-step-by-step", "kernel_id": "26067699"}, {"ref": "fionameisner/top-12-solution", "kernel_id": "26040371"}, {"ref": "genesun/house-pricing-lasso-regression-technique-top-26", "kernel_id": "26067702"}, {"ref": "minxiangliu/lasso-team-amber", "kernel_id": "26837437"}, {"ref": "natsukihashimoto/house-prices-competition-xgboost-lightgbm", "kernel_id": "26441657"}, {"ref": "gritchinavm542/house-prices", "kernel_id": "26112572"}, {"ref": "harshghadiya/house-price-multi-linear-regression-with-eda", "kernel_id": "26576110"}, {"ref": "pavanwagh/simplexgbregressorpredictionmodel", "kernel_id": "26863488"}, {"ref": "esraasayed98/house-price-prediction", "kernel_id": "26098006"}, {"ref": "abdullahmohammed123/house-prices-ml1", "kernel_id": "26115145"}, {"ref": "masatoshikato/houseprice-my-solution", "kernel_id": "26346238"}, {"ref": "hironakatani/stacking-ver7", "kernel_id": "26554981"}, {"ref": "cminusqaq/notebook0f09214f06", "kernel_id": "26570154"}, {"ref": "alejandroerestrepo/housing-prices-adding-pipelines-optimization", "kernel_id": "26486086"}, {"ref": "javigallego/massive-pca-outlier-detection-tutorial", "kernel_id": "26307993"}, {"ref": "renadn/housing-data-linear-regression", "kernel_id": "26089162"}, {"ref": "shivaponuganti/cis5680-shivakrishna-manikanth-testdata", "kernel_id": "26326391"}, {"ref": "biocanter/top70-with-10-numerical-features-elasticnet", "kernel_id": "26352137"}, {"ref": "biocanter/top60-with-7-new-features-creation-elastic-net", "kernel_id": "26357698"}, {"ref": "biocanter/top-30-with-stacked-ensemble-methods", "kernel_id": "26773565"}, {"ref": "biocanter/top40-with-categoric-numeric-features-elastnet", "kernel_id": "26736504"}, {"ref": "paipengw/house-price-prediction", "kernel_id": "26175918"}, {"ref": "amirhosainmahdiani/house-prices-prediction", "kernel_id": "26317228"}, {"ref": "yannisbendris/pr-diction-de-prix", "kernel_id": "26292627"}, {"ref": "valentinblet/houses-prices", "kernel_id": "26043979"}, {"ref": "davidsorensen00/housing-prices-2", "kernel_id": "26922874"}, {"ref": "davidsorensen00/house-price-stacked-regression-top-3", "kernel_id": "26581232"}, {"ref": "nipunbhal/house-price-prediction", "kernel_id": "26254479"}, {"ref": "xiangzxzx/predict-house-prices-with-regression", "kernel_id": "26874189"}, {"ref": "omarmejia1338/ai-ml-class-week-7", "kernel_id": "26750060"}, {"ref": "andrewpdove/house-prices-base-solution-rf", "kernel_id": "26562556"}, {"ref": "sebastiensavard/edit-house-price-stacked-regression-top-3", "kernel_id": "26559235"}, {"ref": "yoavhagashi/feature-engineering-for-house-prices-hw", "kernel_id": "26872837"}, {"ref": "namankr1812/home-price-prediction", "kernel_id": "26256910"}, {"ref": "namankr1812/house-price-eda", "kernel_id": "26037029"}, {"ref": "chethannagaraja/hw8-house-price", "kernel_id": "26598184"}, {"ref": "doronmashiach/houseprices", "kernel_id": "26116302"}, {"ref": "ghadialqahtani/predicthousepricing", "kernel_id": "26019121"}, {"ref": "afnan98abdullah/house-prices", "kernel_id": "26272206"}, {"ref": "mattschool2022/ml-house-pricing-prediction-competition", "kernel_id": "26464002"}, {"ref": "eliranmalichy/house-prices-ml", "kernel_id": "26363583"}, {"ref": "jamesrobertpratt/house-prices-pipelined", "kernel_id": "26269268"}, {"ref": "siwarfalah/house-pricing-ml-siwar-falah", "kernel_id": "26359121"}, {"ref": "raniiaab/notebook1c0d059876", "kernel_id": "26082169"}, {"ref": "raniiaab/notebook7e53b5c924", "kernel_id": "26085210"}, {"ref": "itsmohammadshahid/eda-ames-housing-price-prediction", "kernel_id": "26688438"}, {"ref": "itisai/houses-prices", "kernel_id": "26797213"}, {"ref": "alyssaburch/welcome-to-data-science-in-r-workbook", "kernel_id": "26644555"}, {"ref": "thuraiaalqahtani/notebook3cab7f142a", "kernel_id": "26063221"}, {"ref": "shannongao/houseprices", "kernel_id": "26086026"}, {"ref": "yingmath/housing-ying", "kernel_id": "26088867"}, {"ref": "duannnn/home-price-regression", "kernel_id": "26469247"}, {"ref": "kaiyuanma/notebook6dc9b4937d", "kernel_id": "26714900"}, {"ref": "mostafagamal97/advanced-housing-prices", "kernel_id": "26160963"}, {"ref": "lilysezero/house-prices-advanced-regression-techniques", "kernel_id": "26233560"}, {"ref": "chetan723/home-price-regression", "kernel_id": "26576840"}, {"ref": "evandrodresch/applied-feature-engineering-house-prices", "kernel_id": "26639996"}, {"ref": "vasilng/house-pricing-random-forest-and-linear-regr", "kernel_id": "26628840"}, {"ref": "timothymorales/house-prices", "kernel_id": "26615219"}, {"ref": "ibrahimsoro/house-price-prediction", "kernel_id": "26678640"}, {"ref": "mtoscher/notebookf6be346de6", "kernel_id": "26629804"}, {"ref": "simozilling/regression-housing-prices", "kernel_id": "26628897"}, {"ref": "bhaarathwritingworks/comprehensive-data-exploration-with-python", "kernel_id": "26688659"}, {"ref": "akhilnaik2019/house-prices-eda-feature-engineering", "kernel_id": "26758850"}, {"ref": "nicolascoqueiro/limpeza-trabalho-ceub", "kernel_id": "26850802"}, {"ref": "ryan28/data-eda-xgb-lgb-and-stacked-model", "kernel_id": "27842659"}, {"ref": "dpaul93/detailed-exploratory-data-analysis-with-python", "kernel_id": "27847939"}, {"ref": "souravmahajan/regression-in-simplest-way-top-20", "kernel_id": "27589679"}, {"ref": "akrome/housing-pre-processing", "kernel_id": "27764550"}, {"ref": "aayushkubba/house-price-some-of-regression-models", "kernel_id": "27332517"}, {"ref": "datark1/house-price-prediction-w-optuna-rfr", "kernel_id": "27708050"}, {"ref": "vikkach/house-prices-xgb", "kernel_id": "27398674"}, {"ref": "shadmanrohan/robi-datathon-2-0-networkerbahire", "kernel_id": "27625358"}, {"ref": "jrreda/rf-baseline-model-using-pipelines-0-141", "kernel_id": "27097130"}, {"ref": "bscout2011/first-kaggle-submission", "kernel_id": "27807197"}, {"ref": "dalao1002/house-prices-regression-prediction", "kernel_id": "27822232"}, {"ref": "adepvenugopal/anomaly-detection-using-different-methods", "kernel_id": "27997875"}, {"ref": "mmellinger66/house-prices-eda-linear-regression", "kernel_id": "27838404"}, {"ref": "utkarshsharma1/custom-transformers", "kernel_id": "27293670"}, {"ref": "naji468/random-forest", "kernel_id": "27457683"}, {"ref": "prakashcsuthar/housepricepredictionv1-1", "kernel_id": "27105110"}, {"ref": "oscarpoudel/house-price-prediction-advanced-regression", "kernel_id": "27398833"}, {"ref": "iannjuguna/housing-regression", "kernel_id": "27645514"}, {"ref": "fattahuzzaman/detailed-data-analysis-and-house-price-prediction", "kernel_id": "27703902"}, {"ref": "kavehzare/house-price-regression-cs87a-project", "kernel_id": "27515539"}, {"ref": "redhotrookie/iowa-housing-prices", "kernel_id": "27271529"}, {"ref": "turkimariem/house-prices-prediction", "kernel_id": "27966071"}, {"ref": "marwenloueti/house-price", "kernel_id": "27726118"}, {"ref": "mhmtnzly/houseprice1", "kernel_id": "27633897"}, {"ref": "danielebaldoni/pandas-profiling-for-eda-examples", "kernel_id": "27669679"}, {"ref": "zahraalidadi75/house-price-prediction-linear-regression-knn-svc", "kernel_id": "27815979"}, {"ref": "susanahtu/use-xgboost-to-predict", "kernel_id": "27538642"}, {"ref": "szelimbilal/house", "kernel_id": "27277712"}, {"ref": "farukbaykara/house-price-prediction-with-neural-network", "kernel_id": "27068213"}, {"ref": "nobodysboredom/feature-engineering", "kernel_id": "27700021"}, {"ref": "artem8verbov/house-price-prediction", "kernel_id": "27007119"}, {"ref": "indrianijuvita/metascientist", "kernel_id": "27479828"}, {"ref": "hanifkurniawan/regression-house-pricing-newbie-code", "kernel_id": "27095379"}, {"ref": "narayanyadav/end-to-end-house-price-prediction", "kernel_id": "27936660"}, {"ref": "mejdibendkhil/house-price-predicting-using-supervised-approachs", "kernel_id": "27841772"}, {"ref": "abdelrhmaneltawagny/apply-probability-distributions-in-real-data", "kernel_id": "27454787"}, {"ref": "gabrielvrsas/house-price-regression-competition-reglin", "kernel_id": "27913950"}, {"ref": "mangeshchoudhari/preprocessing-and-model-training", "kernel_id": "27135072"}, {"ref": "venkatapadavala/house-prices-advanced-regression-top-score", "kernel_id": "27793687"}, {"ref": "venkatapadavala/house-prices-advanced-regression-practice", "kernel_id": "27960892"}, {"ref": "venkatapadavala/fork-of-venkata-prediction-8c79d1", "kernel_id": "27616949"}, {"ref": "ahmedsaberelsheikh/analyse-data-exploration-with-python-sklearn", "kernel_id": "27128637"}, {"ref": "ghadakhalifa/house-prices-advanced-regression-techniques", "kernel_id": "27673858"}, {"ref": "rohanjadhav98/regression-house-prediction", "kernel_id": "27882140"}, {"ref": "solmazkhoshkalam/housepricing", "kernel_id": "27031338"}, {"ref": "leonelsilima/precos-de-casas", "kernel_id": "27344503"}, {"ref": "favourphilicvictor/advance-house-price-regression", "kernel_id": "27896959"}, {"ref": "edouarddelannoy/housepredictdataanalysismachinelearning", "kernel_id": "27188053"}, {"ref": "igorprikhodko/1-3-supervised-learning-regression-house-prices", "kernel_id": "27736525"}, {"ref": "masatomurakawamm/houseprices-deeplearning-eda-automl-pycaret", "kernel_id": "27178628"}, {"ref": "jth3000/house-price-prediction", "kernel_id": "27472544"}, {"ref": "gauravmalik26/house-prices-prediction-using-transformers", "kernel_id": "27535191"}, {"ref": "azminetoushikwasi/all-imputation-techniques-with-pros-and-cons", "kernel_id": "27588167"}, {"ref": "azminetoushikwasi/advanced-feature-engineering-for-classification", "kernel_id": "27051262"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "rhythmcam/mean-median-feature-engineering-house-price", "kernel_id": "27258228"}, {"ref": "luckychitundu/regression-techniques-house-pricing", "kernel_id": "27303978"}, {"ref": "wenqinglan/house-price-pred-data-processing-cat", "kernel_id": "27748317"}, {"ref": "adarshmalviy/house-prices-prediction-part-2-with-fe", "kernel_id": "27468403"}, {"ref": "raushan9jnv/house-prices-art-eda-using-pandas-profiling", "kernel_id": "27259367"}, {"ref": "sokhengdin/house-prices-regression", "kernel_id": "27868773"}, {"ref": "vineetkumarpatil/house-price-prediction-v2", "kernel_id": "27995897"}, {"ref": "clsolive/house-prices-study", "kernel_id": "27398123"}, {"ref": "hristinaaleksandrova/house-pricing-feature-engineering", "kernel_id": "27082746"}, {"ref": "omarmohamedelgharib/house-prices", "kernel_id": "27827114"}, {"ref": "drsachingupta/mvnu-fdp-data-analysis", "kernel_id": "27095996"}, {"ref": "shivaashrith/notebook37339732e2", "kernel_id": "27477183"}, {"ref": "nvssrkameswar/advance-house-prices-prediction-using-pipelines", "kernel_id": "27490525"}, {"ref": "asemmustafa/saleprice-using-svr", "kernel_id": "27736286"}, {"ref": "ahmedousama/xgbregressor-on-house-price-data", "kernel_id": "27084709"}, {"ref": "barbagrande007/bbg007-house-prices", "kernel_id": "27853220"}, {"ref": "duchieuvn/houseprices-basic-eda-model-for-beginners", "kernel_id": "27152587"}, {"ref": "jimchan1227/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "27483641"}, {"ref": "dianalaveena/house-price-predictions", "kernel_id": "27757595"}, {"ref": "jungangchen/liner-regression-model", "kernel_id": "27977019"}, {"ref": "ahmedtoba/hp-ev-model", "kernel_id": "27206865"}, {"ref": "jihwano/notebookd76a5bd62c", "kernel_id": "27038299"}, {"ref": "nahidislamz/house-prices-prediction", "kernel_id": "27767731"}, {"ref": "sulimanhaqqyarjan/house-prices-eda", "kernel_id": "27434235"}, {"ref": "ayanonanjo/study-analytics-house-prices", "kernel_id": "27443419"}, {"ref": "rajkumar125/house-price-prediction", "kernel_id": "27806285"}, {"ref": "csatlantis/notebook7b2ff6132a", "kernel_id": "27127028"}, {"ref": "agyanatma/a-detailed-regression-guide-with-house-pricing", "kernel_id": "27308359"}, {"ref": "vishnu877/house-price-eda", "kernel_id": "27072812"}, {"ref": "bhaveshvss/housepriceprediction", "kernel_id": "27473902"}, {"ref": "pankajkumar2002/house-prices-eda-gboost-algo-comparisons", "kernel_id": "27354086"}, {"ref": "naoshigedoi/house-price-prediction", "kernel_id": "27713310"}, {"ref": "joenelson656/notebook5050f370ab", "kernel_id": "27544135"}, {"ref": "deepmalviya7/best-r2-score-based-selected-prediction", "kernel_id": "27707450"}, {"ref": "jaehwanlee95/house-prices-advanced-regression", "kernel_id": "27592420"}, {"ref": "utkarshgoswami/house-price-advanced-regression", "kernel_id": "27134728"}, {"ref": "youssefspasha/predict-house-prices-linear-regression-eda", "kernel_id": "27222499"}, {"ref": "adhamkhaledhegazy/house-price-prediction-using-linear-regression", "kernel_id": "27456857"}, {"ref": "timurtuleuov/house-prices-catboostregressor", "kernel_id": "27967580"}, {"ref": "alcidescoutinho/modelo-0-13000-em-portugu-s", "kernel_id": "27745486"}, {"ref": "sandeepmnair/houseprice-pipelines-grboost-catboost", "kernel_id": "27968691"}, {"ref": "mertalkan98/prediction-of-house-prices", "kernel_id": "27952648"}, {"ref": "ziadhamadafathy/predict-house-prices-acc-90", "kernel_id": "27036494"}, {"ref": "mustafacihadgoktepe/house-prices-voting-regressor", "kernel_id": "27243942"}, {"ref": "mustafacihadgoktepe/house-prices-deep-learning", "kernel_id": "27294080"}, {"ref": "linettecorreia/house-pricing-1", "kernel_id": "27493500"}, {"ref": "dapin1490/urop-w3d3-missing-value-study", "kernel_id": "27840041"}, {"ref": "sagshk/housing-price-prediction", "kernel_id": "27501915"}, {"ref": "nipunbhal/house-price-prediction1", "kernel_id": "27258463"}, {"ref": "mosummers/house-pricing-prediction", "kernel_id": "27519606"}, {"ref": "matthewkoltunov/house-prices-eda-preprocessing-and-modeling", "kernel_id": "27816829"}, {"ref": "diptobiswas777/housing-prices-competition-dipto-biswas-v1", "kernel_id": "27130736"}, {"ref": "rampreethir/house-prices-advanced-regression-models", "kernel_id": "27528487"}, {"ref": "prajwallandge/gradient-boosting-pca-feature-importance", "kernel_id": "27502045"}, {"ref": "vincentbrunner/ml-from-scratch-random-forests", "kernel_id": "27459012"}, {"ref": "vincentbrunner/ml-from-scratch-decision-trees", "kernel_id": "27035912"}, {"ref": "randopotamus/notebook422afd6f1b", "kernel_id": "27172506"}, {"ref": "selcukksgl/home-price-prediction-model", "kernel_id": "27304793"}, {"ref": "emmanueldjegou/house-prices-advanced-regression-techniques", "kernel_id": "27440470"}, {"ref": "biswadata/house-price", "kernel_id": "27930167"}, {"ref": "juanillaberia/model-comparison-house-price-prediction", "kernel_id": "27279646"}, {"ref": "anadolutat1071/houseprice", "kernel_id": "27367048"}, {"ref": "ivanmersa/data-exploration-and-prediction-of-house-prices", "kernel_id": "27727954"}, {"ref": "rushikeshdane20/build-recommendation-system-app-with-streamlit", "kernel_id": "27969675"}, {"ref": "rushikeshdane20/plotly-tutorial-how-to-make-plotly-visuals-better", "kernel_id": "27872146"}, {"ref": "phuonghenry/house-prices-predict-sales-prices", "kernel_id": "27618928"}, {"ref": "itsunori/house-prices-ver-0", "kernel_id": "27443390"}, {"ref": "shubham1kumar/housing-price", "kernel_id": "27978208"}, {"ref": "fuu3629/winc-team-b", "kernel_id": "27212736"}, {"ref": "kazusumiogihara/titanic-topse", "kernel_id": "27646311"}, {"ref": "julihocc/infotec-mccd-proped-utico-m-dulo-3", "kernel_id": "27520788"}, {"ref": "johnpierre1/johns-ames-house-pricing", "kernel_id": "27021999"}, {"ref": "vedantgulve/housingpricepred-version2", "kernel_id": "27731869"}, {"ref": "jesterjhn/houseprices", "kernel_id": "27595333"}, {"ref": "kaanozkann/house-predict-example", "kernel_id": "27277251"}, {"ref": "nicolascoqueiro/regress-o-r-ceub", "kernel_id": "27427809"}, {"ref": "programmerrdai/house-prices-advanced-regression-techniques", "kernel_id": "27694537"}, {"ref": "lucasportodealmeida/0-12492-with-few-lines-of-code", "kernel_id": "27445240"}, {"ref": "rizqyad/house-prices-random-forest-regressor-book2", "kernel_id": "27551681"}, {"ref": "muthukumaran18/house-prediction-linear-regression", "kernel_id": "27927540"}, {"ref": "ryotaromatsui/eda-matsui", "kernel_id": "27588040"}, {"ref": "prakwan/house-prices-advanced-regression", "kernel_id": "27235894"}, {"ref": "vietphutran/hello", "kernel_id": "27235507"}, {"ref": "tkak1022/xg-test", "kernel_id": "27560949"}, {"ref": "ttastebread/lineargression-model", "kernel_id": "27443721"}, {"ref": "ttastebread/notebookebed8f4b75", "kernel_id": "27736986"}, {"ref": "renadope/housing-analysis-ensembling-tensorflow", "kernel_id": "27773916"}, {"ref": "gonzalogrecco144/house-price-regression", "kernel_id": "27717544"}, {"ref": "anthqiu/house-prices-boosting-simple-deep-learning", "kernel_id": "27693345"}, {"ref": "suzukifelipe/house-prices-with-gridsearch-and-gbregressor", "kernel_id": "27976052"}, {"ref": "amineteffal/pca-utility-function", "kernel_id": "28122304"}, {"ref": "thoolihan/exploring-together-talk-guide", "kernel_id": "28602451"}, {"ref": "thoolihan/group-exploration-notebook", "kernel_id": "28603225"}, {"ref": "habibmrad1983/neural-network-model-for-house-prices-tensorflow", "kernel_id": "28611277"}, {"ref": "waldemar/super-easy-introduction-to-kaggle-directories", "kernel_id": "28938171"}, {"ref": "khalidhussain/predicting-house-price", "kernel_id": "28050127"}, {"ref": "arifrahman/comprehensive-data-exploration-with-python", "kernel_id": "28893540"}, {"ref": "ottpocket/first-draft", "kernel_id": "28645394"}, {"ref": "yvonne1992/feature-engineering-and-feature-selection", "kernel_id": "28624680"}, {"ref": "thegodchurch/simple-tree-model", "kernel_id": "28911150"}, {"ref": "leodaniel/k-nn-regression-clearly-explained", "kernel_id": "28256850"}, {"ref": "leodaniel/statistics-101-a-simple-approach", "kernel_id": "28986525"}, {"ref": "crashoverdrive/cms-data-preprocessing-model-creation-guide", "kernel_id": "28678864"}, {"ref": "oladazimi/random-forest-train-data-reduced-to-1320x28", "kernel_id": "28670811"}, {"ref": "rvdrdx/top-5-model-beginner-stacking-blending", "kernel_id": "28912476"}, {"ref": "sanjeev2407/ml-specialisation-comp-1", "kernel_id": "28504469"}, {"ref": "wapiti08/house-price-prediction", "kernel_id": "28616231"}, {"ref": "ashishmittal0300/notebook01d5f4056b", "kernel_id": "28953977"}, {"ref": "armandsauzay/shap-interpret-any-ml-model-feature-selection", "kernel_id": "28238579"}, {"ref": "kihei171/house-prices-prediction", "kernel_id": "28938176"}, {"ref": "tilhi98/xgboost-feature-engineering-house-prices", "kernel_id": "28902747"}, {"ref": "tangtunyu/10botics-house-prices", "kernel_id": "28098160"}, {"ref": "psianipar/house-prices-88-21-gradientboost", "kernel_id": "28745299"}, {"ref": "shalini2510/notebookc75d899f77", "kernel_id": "28699988"}, {"ref": "rupakroy/mutual-information-feature-selection-regression", "kernel_id": "28819779"}, {"ref": "mechatronixs/house-price-eda-and-prediction", "kernel_id": "28959702"}, {"ref": "laplace8/house-price-practice-220628", "kernel_id": "28110783"}, {"ref": "tklolo/regularized-linear-models", "kernel_id": "28941402"}, {"ref": "batuhanuzun/house-prices-prediction-using-lightgbm", "kernel_id": "28455415"}, {"ref": "nandomartinez/house-prices-in-progress", "kernel_id": "28759604"}, {"ref": "aliyurtseven/houseprices-advanced-regression-techniques", "kernel_id": "28610714"}, {"ref": "shashankshukla9919/house-price-eda", "kernel_id": "28380954"}, {"ref": "philippsudek/housepricing-random-forest", "kernel_id": "28629447"}, {"ref": "jamiedonaldmccann/houseprices-icg-dsc", "kernel_id": "28643961"}, {"ref": "taos2000/house-price-prediction-linear-model", "kernel_id": "28722178"}, {"ref": "rahul17121990/house-price-prediction", "kernel_id": "28891345"}, {"ref": "whatisslove11/house-prices", "kernel_id": "28506116"}, {"ref": "ocanaydin/house-regression-num-categorical-features", "kernel_id": "28461146"}, {"ref": "nivednambiar/house-price-prediction-regression", "kernel_id": "28131527"}, {"ref": "ashfakyeafi/data-exploration-with-python", "kernel_id": "28369171"}, {"ref": "someshdev/data-preprocessing-and-regression-techniques", "kernel_id": "28419560"}, {"ref": "ahmedashraf123/house-prices-advanced-regression-techniques", "kernel_id": "28762719"}, {"ref": "ahmedabed18298/ahmed-abed", "kernel_id": "28151642"}, {"ref": "cleianeoliveira/submissaohouse", "kernel_id": "28825544"}, {"ref": "asheniranga/predict-house-price-with-linear-models", "kernel_id": "28699913"}, {"ref": "vkdhiman93/house-price-prediction-vivek", "kernel_id": "28896116"}, {"ref": "bhanpuramufaddal2/housepricepredictionpreprocess1", "kernel_id": "28131014"}, {"ref": "mohamedmartini/house-price-prediction-top-6-no-ensemble", "kernel_id": "28937710"}, {"ref": "muhramasaputra/predict-house-price", "kernel_id": "28829250"}, {"ref": "anandparmar/house-price-prediction-ensemble-and-bagging", "kernel_id": "28358071"}, {"ref": "alexturkmen/preprocessing-modeling-with-stacking-top-5", "kernel_id": "28458083"}, {"ref": "bahadoreizadkhah/house-prices-svm-xgboost", "kernel_id": "28553990"}, {"ref": "shreyas1302/priceprediction-advancedregression", "kernel_id": "28376018"}, {"ref": "kyleev/mushroom-classification", "kernel_id": "28341080"}, {"ref": "origent1/main-dataset", "kernel_id": "28233264"}, {"ref": "mdwaquarazam/house-price-prediction", "kernel_id": "28397888"}, {"ref": "charles01dev/houseprices-charles01", "kernel_id": "28331282"}, {"ref": "venkatesh95/house-price", "kernel_id": "28207620"}, {"ref": "venkatapadavala/house-price-prediction-catboost-2", "kernel_id": "28089538"}, {"ref": "pouyaaskari/advance-regression-house-price", "kernel_id": "28797643"}, {"ref": "abdulaziz04/prediction-using-catboostregressor", "kernel_id": "28156109"}, {"ref": "swatikhedekar/eda-on-advance-house-price-prediction", "kernel_id": "28257422"}, {"ref": "mayureshkoli/ames-housing-price-prediction", "kernel_id": "28799414"}, {"ref": "abdelrahmanhanafy/house-prices", "kernel_id": "28306606"}, {"ref": "michaelgwinn/regression-from-scratch", "kernel_id": "28907579"}, {"ref": "saeedkamelibrahim/house-prices-advanced-regression-techniques", "kernel_id": "28436108"}, {"ref": "bibekupadhyaya/random-forest-indepth-eda", "kernel_id": "28767567"}, {"ref": "bibekupadhyaya/tableau-insights", "kernel_id": "28925533"}, {"ref": "kartikeyat/ridge-lasso-linear-regression", "kernel_id": "28412675"}, {"ref": "abozekry/pca-linearregression-88accurecy", "kernel_id": "28920940"}, {"ref": "brendanprichards/ensemble-regression-score-0-13866", "kernel_id": "28109098"}, {"ref": "pragya1110/house-price-advanced-price-regression", "kernel_id": "28426348"}, {"ref": "greengamma/house-prices-xgboost", "kernel_id": "28595232"}, {"ref": "mohamedmeqlad/house-prices-eda-ml-model-96-accurany", "kernel_id": "28947804"}, {"ref": "yforyak/comprehensive-data-exploration-with-python-aa67e0", "kernel_id": "28909621"}, {"ref": "ridotrimanto/houseprices-with-pca-step-by-step", "kernel_id": "28330784"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "dhirajkumar612/house-price-data-visualisation", "kernel_id": "28185056"}, {"ref": "gustavolatorresilva/testing-models-with-pipeline", "kernel_id": "28103383"}, {"ref": "ashvanths/complete-eda-and-feature-engineering", "kernel_id": "28187438"}, {"ref": "hainescity/house-prices-prediction-pt-br", "kernel_id": "28834529"}, {"ref": "rizkykiky/house-price-prediction", "kernel_id": "28379921"}, {"ref": "youssefelzahar/house-price-with-linear-regression", "kernel_id": "28940200"}, {"ref": "jusangoh/feature-engineering-for-house-prices", "kernel_id": "28615470"}, {"ref": "itamarshilo/houespricepart1", "kernel_id": "28147020"}, {"ref": "gabrielamartinez3/houseprices-practice", "kernel_id": "28030505"}, {"ref": "sayansh001/notebook5a1f0e5340", "kernel_id": "28176459"}, {"ref": "vamsichennakesava/house-price-using-ml-algorithms", "kernel_id": "28452163"}, {"ref": "isgeles/regression", "kernel_id": "28192914"}, {"ref": "charliejmtorres/house-competition-random-forest-regressor", "kernel_id": "28811068"}, {"ref": "abdulghaffaransari/house-prices-advanced-regression-techniques", "kernel_id": "28208002"}, {"ref": "jinzou1999/ensemble-inchinese", "kernel_id": "28136778"}, {"ref": "areffarzanieh/house-pricing-prediction", "kernel_id": "28636791"}, {"ref": "aod0gru/houseprices-with-randomforest", "kernel_id": "28354575"}, {"ref": "harshiitsingh/house-price-prediction-eda", "kernel_id": "28339986"}, {"ref": "muhammadrizall/house-prices-advanced-regression-techniques", "kernel_id": "28110113"}, {"ref": "karandej/house-pricing-regression", "kernel_id": "28425363"}, {"ref": "linashed/homeprices", "kernel_id": "28622634"}, {"ref": "faduregis/house-prices-prediction", "kernel_id": "28350425"}, {"ref": "apurbapandey/advanced-house-price-analysis-for-top-result", "kernel_id": "28881979"}, {"ref": "delle3abnina/score-0-16-84-when-you-think-you-re-a-genius", "kernel_id": "28751423"}, {"ref": "alphonsce/house-prices-with-catboost", "kernel_id": "28153787"}, {"ref": "duchien/predict-prices-house", "kernel_id": "28171162"}, {"ref": "suppaphatpringprerd/house-price-predict-1", "kernel_id": "28176168"}, {"ref": "joshuahiller/comprehensive-data-exploration-with-python", "kernel_id": "28647199"}, {"ref": "misaelcribeiro/tpot-score-advanced-house-prediction", "kernel_id": "28704155"}, {"ref": "doukanelik/categorical-to-numeric-encoding", "kernel_id": "28693690"}, {"ref": "abdelrhamanfakhry/visualization-preprocess-pca-models-score-98", "kernel_id": "28961918"}, {"ref": "abdelrhamanfakhry/data-preprocessing-gridsearchcv-cross-val-score", "kernel_id": "28375808"}, {"ref": "muhriddinmalik/mukhriddin-s-notebook", "kernel_id": "28842325"}, {"ref": "t3kuwabara/houseprices-analysis", "kernel_id": "28112799"}, {"ref": "t3kuwabara/houseprices-test", "kernel_id": "28106942"}, {"ref": "t3kuwabara/houseprices-detailed-analysis", "kernel_id": "28326149"}, {"ref": "t3kuwabara/houseprices-test2", "kernel_id": "28326430"}, {"ref": "t3kuwabara/houseprices-test-dnn", "kernel_id": "28639008"}, {"ref": "ahmedatefazzam/house-prediction-using-gbregressor", "kernel_id": "28466199"}, {"ref": "rodrigocastillocimat/house-prices-regression", "kernel_id": "28682272"}, {"ref": "obinna11/housing-price-feature-selection-and-engineering", "kernel_id": "28177722"}, {"ref": "ma12492002/ml-house-prices", "kernel_id": "28495130"}, {"ref": "sainithish1212/top10-rank-with-very-good-score", "kernel_id": "28499514"}, {"ref": "sainithish1212/my-notebook-with-very-good-score", "kernel_id": "28436400"}, {"ref": "lusfernandotorres/house-prices-prediction-with-xgbregressor", "kernel_id": "28495033"}, {"ref": "hossamadel/house-prices-rms-hossam", "kernel_id": "28896688"}, {"ref": "taariqdawoodbuhari/housing-pricing-feature-and-reg-model", "kernel_id": "28910609"}, {"ref": "yulimjin/house-price-regression", "kernel_id": "28446424"}, {"ref": "nizarkarkar/different-techniques-of-pca", "kernel_id": "28307537"}, {"ref": "nizarkarkar/building-a-regression-mlp-using-the-sequential-api", "kernel_id": "28437601"}, {"ref": "corneliusjustin/housing-price-end-to-end-ml-regression-project", "kernel_id": "28146133"}, {"ref": "enukawa/2022071-ds", "kernel_id": "28612894"}, {"ref": "dylanmvanhorn/machine-learning-multiple-regression-model", "kernel_id": "28334318"}, {"ref": "andrespadillaucros/4-houses-sales-forecast", "kernel_id": "28317416"}, {"ref": "faresabbasai2022/house-prices-advanced-regression-techniques", "kernel_id": "28958060"}, {"ref": "andls555/explain-forward-propagation", "kernel_id": "28067233"}, {"ref": "surajpatekar/house-prices", "kernel_id": "28526068"}, {"ref": "deepakthakur92/houseprice-prediction", "kernel_id": "28900746"}, {"ref": "rumbleftw/98-r2-randomforest-stunning-visualizations", "kernel_id": "28657954"}, {"ref": "davidepiccoli/housepricepredictor", "kernel_id": "28027983"}, {"ref": "michalgnacik/houseprices-lasso", "kernel_id": "28481770"}, {"ref": "xixihaha318/house-prices-predict-with-pytorch", "kernel_id": "28975615"}, {"ref": "ahabetyan/house-prices", "kernel_id": "28613548"}, {"ref": "reeljojo/house-price-prediction-r", "kernel_id": "28068195"}, {"ref": "asmithars/advanced-house-price-prediction", "kernel_id": "28949119"}, {"ref": "vincentbrunner/ml-from-scratch-nested-cross-validation", "kernel_id": "28363026"}, {"ref": "rushikeshdane20/software-professional-salary-interactive-dashboard", "kernel_id": "28385281"}, {"ref": "nuozhou1/project-house-prediction", "kernel_id": "28464814"}, {"ref": "usamabalochhh/solving-house-price-problem", "kernel_id": "28769238"}, {"ref": "robber19/advanced-regression-tasks-house-price", "kernel_id": "28539652"}, {"ref": "albertangkasa/top-10-house-price-regression-competition-nb", "kernel_id": "28270151"}, {"ref": "ndohmoise/houses-prices-competition-for-kaggle-learn-users", "kernel_id": "28535439"}, {"ref": "ndohmoise/house-price-prediction-using-xgboost-regression", "kernel_id": "28395436"}, {"ref": "akashkotal/randomforest-99-gradientboostingregression-93", "kernel_id": "28698222"}, {"ref": "ibrahimkhater/xgbrfregressor-with-feature-engineering", "kernel_id": "28931814"}, {"ref": "kadins/house-price-prediction-w-stacked-regressions", "kernel_id": "28471509"}, {"ref": "melaniekustamin/house-pricing", "kernel_id": "28557832"}, {"ref": "bhavikfirke/house-prices-advanced-regression-techniques", "kernel_id": "28893296"}, {"ref": "ghanaahmada/using-all-features-in-house-prices-dataset", "kernel_id": "28480357"}, {"ref": "chelly219/r-t2-4-house-prices", "kernel_id": "28141205"}, {"ref": "eisgandar/house-prices-predictions-jump-top-1", "kernel_id": "28386008"}, {"ref": "philstranger/notebook092cbe56e3", "kernel_id": "28209469"}, {"ref": "guoyanqing200511501/housing-price-feature-selection-and-engineering", "kernel_id": "28183093"}, {"ref": "guoyanqing200511501/use-xgboost-to-predict-802418", "kernel_id": "28182943"}, {"ref": "luojunjie200511117/housing-price-feature-selection-and-engineering", "kernel_id": "28181382"}, {"ref": "corazon17/house-price-feature-engineering-and-regression", "kernel_id": "28521936"}, {"ref": "oscardata963/house-prices-predictions-gradient-boosting-eda", "kernel_id": "28626056"}, {"ref": "sarthmirashi07/top-8-house-prices-ensemble-learning", "kernel_id": "28800730"}, {"ref": "thanhhung0112/thanh-hung-report-demo", "kernel_id": "28799506"}, {"ref": "zhangnabjtu/house-prices-with-pytorch", "kernel_id": "28195168"}, {"ref": "ryhime/home-regression", "kernel_id": "28260646"}, {"ref": "andrewsale/iowa-house-prices-xgboost-ensemble", "kernel_id": "28282631"}, {"ref": "kazukiisogai/notebook73b9d25e4f", "kernel_id": "28662258"}, {"ref": "ankitaanand28/houseprices-advreg-81-accuracy", "kernel_id": "28452214"}, {"ref": "feigned/hw1c1", "kernel_id": "28561503"}, {"ref": "feigned/hw2c2", "kernel_id": "28946958"}, {"ref": "alejandrosolares/housing-project", "kernel_id": "28168970"}, {"ref": "xodeum/house-pricing-with-advance-regression-methods", "kernel_id": "28309408"}, {"ref": "kevinbeck48/price-prediction-using-lasso-regression", "kernel_id": "28556758"}, {"ref": "zdanielshi/house-price-competition-lasso-ridge-xgb", "kernel_id": "28587597"}, {"ref": "ojojostar/feature-engineering-for-house-prices", "kernel_id": "28914584"}, {"ref": "ethanaggor/house-pricing-prediction", "kernel_id": "28979856"}, {"ref": "pashadevacc/housing-pricing", "kernel_id": "28795791"}, {"ref": "clancycc/house-price", "kernel_id": "28561334"}, {"ref": "majidabdoos/xgboost-model", "kernel_id": "28811016"}, {"ref": "lej51725172/gtx-group-project", "kernel_id": "28943068"}, {"ref": "thallumadhumeghana/machinelearning-project", "kernel_id": "28991241"}, {"ref": "wailtmir/notebookfbdf826f18", "kernel_id": "29243906"}, {"ref": "naubergois/h2o-ai-automl-regression-house-price-prediction", "kernel_id": "29574304"}, {"ref": "osprey2k/catboost-house-price-prediction-2", "kernel_id": "29909169"}, {"ref": "andrilko/shap-interpret-any-ml-model-feature-selection", "kernel_id": "29152552"}, {"ref": "raisuk/house-price-v1", "kernel_id": "29606368"}, {"ref": "mikachou/house-prices", "kernel_id": "29535564"}, {"ref": "rajmehra03/a-complete-pandas-tutorial", "kernel_id": "29549898"}, {"ref": "rajmehra03/a-complete-guide-to-numpy", "kernel_id": "29676871"}, {"ref": "rajmehra03/python-for-dsa-interviews", "kernel_id": "29728572"}, {"ref": "crashoverdrive/cms-complete-eda-guide", "kernel_id": "29034565"}, {"ref": "guanpin51/ml-for-house-price-prediction", "kernel_id": "29752591"}, {"ref": "stg44g3g36hk416hk417/house-prices-with-catboost-top5", "kernel_id": "29986204"}, {"ref": "henilj7/tabular-playground-series-eda-modeling", "kernel_id": "29531336"}, {"ref": "azzeineaftiss/notebook599600c1d0", "kernel_id": "29771199"}, {"ref": "fafinozzi/house-prices-top-solution-with-random-forest", "kernel_id": "29894916"}, {"ref": "skhalili/notebookc82e8590f8", "kernel_id": "29781904"}, {"ref": "yuriao/house-price-prediction-with-xgboost", "kernel_id": "29888017"}, {"ref": "dagneazene/xgboost-regression-sklearn-pipeline", "kernel_id": "29814427"}, {"ref": "pollicio/regresion-lineal-chile-juan-cuevas", "kernel_id": "29982087"}, {"ref": "pollicio/prediccion-house-price", "kernel_id": "29977242"}, {"ref": "keshavnarang/keshav-narang-demo-housing-prices-random-forest", "kernel_id": "29204845"}, {"ref": "pmassouf/lgbm-starter-score-0-14", "kernel_id": "29303821"}, {"ref": "varundurvasula/house-prices-not-so-advanced-regression", "kernel_id": "29380336"}, {"ref": "khunnurjirao/house-price-pred-random-forest", "kernel_id": "29805112"}, {"ref": "enesfiliz/house-price-prediction", "kernel_id": "29584914"}, {"ref": "ankitraj23/notebook6d253d56f7", "kernel_id": "29239349"}, {"ref": "arvindkumaryadav/house-price-prediction", "kernel_id": "29597377"}, {"ref": "massimot/house-prices-top-23-w-xgb", "kernel_id": "29048193"}, {"ref": "soumyajyotikarmakar/notebookf467a78670", "kernel_id": "29392868"}, {"ref": "kapilshrestha/house-price-marathon", "kernel_id": "29143996"}, {"ref": "kihwanmoon/house-price-prediction", "kernel_id": "29892936"}, {"ref": "daseull/houseprice", "kernel_id": "29032077"}, {"ref": "amritsarkar/house-prediction-torch", "kernel_id": "29840265"}, {"ref": "mustafayazici/house-price-eda-ml-visualization", "kernel_id": "29660206"}, {"ref": "kennysmith/house-pricing-second-competition", "kernel_id": "29300578"}, {"ref": "andreasstavrou/housing-prototyping", "kernel_id": "29501411"}, {"ref": "sreeshbk/house-prediction", "kernel_id": "29898510"}, {"ref": "denzilseukanundun/housing-prices-prediction", "kernel_id": "29475062"}, {"ref": "mohitkarelia/house-price-prediction", "kernel_id": "29126257"}, {"ref": "tracyporter/ames-statsmodels-update", "kernel_id": "29646377"}, {"ref": "pranjalrathore/house-price-prediction", "kernel_id": "29734986"}, {"ref": "dwipamujibagaskara/the-ames-housing-price-predict-rmse-24216-r2-0-9", "kernel_id": "29420072"}, {"ref": "bhaskarturkar/advanced-house-price-regrssion", "kernel_id": "29058090"}, {"ref": "priyanshu009ch/xgboost-rank-1000-regression-on-house-prices", "kernel_id": "29864001"}, {"ref": "priyanshu009ch/rf-gradient-boost-regression-on-house-prices", "kernel_id": "29838042"}, {"ref": "bhanpuramufaddal2/housepricepredictionpreprocess2", "kernel_id": "29041305"}, {"ref": "yefimsokolov/boosting-algorithms-comparison-cat-xg-light", "kernel_id": "29851419"}, {"ref": "sabrimodeh/eda-linear-regression", "kernel_id": "29647578"}, {"ref": "aklimarimi/regression-a-handbook-let-s-buy-a-house", "kernel_id": "29970778"}, {"ref": "evanhong99/house-price-prediction-deeplearning", "kernel_id": "29059708"}, {"ref": "anilvenkatesh/spc-2022-data-visualization", "kernel_id": "29176946"}, {"ref": "deepaksethi/housing-price-advanced-regression-train-data", "kernel_id": "29334254"}, {"ref": "feezakhankhanzada/feature-engineering-and-hyperparameter-tuning", "kernel_id": "29402713"}, {"ref": "sushilkumarinfo/advance-machine-learning-modelling", "kernel_id": "29359387"}, {"ref": "upamanyudutta/housepriceprediction-advancedregression", "kernel_id": "29941080"}, {"ref": "berkanttuberkdemirta/house-price-prediction-for-beginners", "kernel_id": "29797873"}, {"ref": "yousseftarhri/eda-house-price-prediction", "kernel_id": "29761632"}, {"ref": "aliosmanbayku/xgboost-prediction-tried", "kernel_id": "29873664"}, {"ref": "mohamedsiika/houses", "kernel_id": "29770158"}, {"ref": "mohamedsiika/house-prices", "kernel_id": "29573221"}, {"ref": "mohammadamintaheri/ames-house-price-prediction", "kernel_id": "29277743"}, {"ref": "abdallahhassan22/simple-price-prediction-notebook", "kernel_id": "29027781"}, {"ref": "vpatryk/notebook-house-prices", "kernel_id": "29387458"}, {"ref": "showhand/house-prices-prediction", "kernel_id": "29111645"}, {"ref": "alexandergribtsov/basic-linear-regression-home-prices-from-csv", "kernel_id": "29260303"}, {"ref": "odaymourad/detailed-full-solution-step-by-step-top-3", "kernel_id": "29104940"}, {"ref": "hkhiroshima/house-prices-for-beginner-en-jp", "kernel_id": "29672894"}, {"ref": "amitvikramraj/house-price-prediction-project-optimize", "kernel_id": "29889124"}, {"ref": "amitvikramraj/house-price-prediction-competition-project", "kernel_id": "29886868"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "msyazwanonn/predict-house-price", "kernel_id": "29359707"}, {"ref": "sehbanfazili/houseprices", "kernel_id": "29732534"}, {"ref": "rhythmcam/house-price-flaml", "kernel_id": "29042966"}, {"ref": "rhythmcam/pandas-basic-null-data-process", "kernel_id": "29080819"}, {"ref": "rhythmcam/pandas-basic-house-price-feature-importance", "kernel_id": "29109344"}, {"ref": "vedakeerthia/house-prices-advanced-regression-techniques", "kernel_id": "29753145"}, {"ref": "oykuer/regression-with-house-prices", "kernel_id": "29335019"}, {"ref": "furkanmemis/house-prices-regression-model", "kernel_id": "29680900"}, {"ref": "sahilnimsarkar/house-pricing", "kernel_id": "29689815"}, {"ref": "ashishkumarrana/practical-introduction-to-10-regression-algorithm", "kernel_id": "29984565"}, {"ref": "lvh123/how-i-made-top-0-3-on-a-kaggle-competition", "kernel_id": "29534937"}, {"ref": "amartinez111/house-price-predictor", "kernel_id": "29229545"}, {"ref": "abhinavgembali/house-price-prediction", "kernel_id": "29656269"}, {"ref": "thomassimm/tabular-housing-prices-competition", "kernel_id": "29968358"}, {"ref": "abdorabie/my-house-prediction-preprocessing", "kernel_id": "29432177"}, {"ref": "equiiinox/house-prices", "kernel_id": "29500208"}, {"ref": "meln1337/house-prices-notebook", "kernel_id": "29174805"}, {"ref": "vivekkumarait/advanced-house-prices-regression", "kernel_id": "29150109"}, {"ref": "arihanttanwar/feature-selector-comparison", "kernel_id": "29824033"}, {"ref": "immu123/house-price-prediction", "kernel_id": "29085860"}, {"ref": "nejatzileli/housing-price-regression", "kernel_id": "29428552"}, {"ref": "fernandalisboa/house-pricing-data-analysis", "kernel_id": "29184685"}, {"ref": "masoudnaghshbandi/house-price-prediction-advance-regression", "kernel_id": "29598438"}, {"ref": "neerajjm/house-prices-advanced-regression-techniques", "kernel_id": "29396727"}, {"ref": "satyaprakashshukl/housing-price-fasteda", "kernel_id": "29526127"}, {"ref": "supremeleaf/predicting-housing-prices-regression-problem", "kernel_id": "29729237"}, {"ref": "mohammedboudallaa/house-prices", "kernel_id": "29360768"}, {"ref": "efebicer/house-price-ml-models", "kernel_id": "29650846"}, {"ref": "jagatsemwal/house-prices-advanced-regression-jagat-semwal", "kernel_id": "29302652"}, {"ref": "sergeyyakovlev1312/houseprices-with-gradientboostingregressor", "kernel_id": "29778588"}, {"ref": "zhenddos/house-prices-prediction-with-catboost-regressor", "kernel_id": "29135305"}, {"ref": "carolusian/compare-linear-regression-knn-random-forest", "kernel_id": "29743428"}, {"ref": "abdelrhamanfakhry/eda-modeling-house-prices", "kernel_id": "29232700"}, {"ref": "nikithamariashency/nikitha-kaggle-house-price-prediction", "kernel_id": "29388452"}, {"ref": "olgaianina/house-prices-with-catboost", "kernel_id": "29788675"}, {"ref": "alirasheed1/top-5", "kernel_id": "29402214"}, {"ref": "alirasheed1/house-price-top-12", "kernel_id": "29122538"}, {"ref": "soumighosh99/house-prices-89-score-with-xgboost", "kernel_id": "29051089"}, {"ref": "muntasirphy/house-prices-top-1", "kernel_id": "29751517"}, {"ref": "abdelrahmanmelsayed/house-pricing-top-35-my-first-project", "kernel_id": "29974311"}, {"ref": "ramazanerduran/house-pricing-ml", "kernel_id": "29096842"}, {"ref": "huyhoang333/massp-team-2-house-prices", "kernel_id": "29679964"}, {"ref": "nabilajahan/house", "kernel_id": "29946206"}, {"ref": "nabilajahan/house-price-regression-competition-3", "kernel_id": "29764068"}, {"ref": "ibrohimsharipov/house-price-prediction", "kernel_id": "29651103"}, {"ref": "gustavolenin/house-prices-eda-linear-ridge-lasso-regression", "kernel_id": "29926402"}, {"ref": "amanmukati/house-price-prediction", "kernel_id": "29962103"}, {"ref": "flaviowh/kaggle-housing-regression-task", "kernel_id": "29105138"}, {"ref": "vvthai14/blog-2-house-prices", "kernel_id": "29644141"}, {"ref": "azizihamza/house-prices-advanced-regression-techniques", "kernel_id": "29291957"}, {"ref": "namitabagri/houseprice-namita", "kernel_id": "29829977"}, {"ref": "yiukitcheung/house-price-advanced-w-bayesian-optimization", "kernel_id": "29584252"}, {"ref": "mdistiakahmedkhan/xgboost-hypermeters-tuning-on-house-prices-dataset", "kernel_id": "29659337"}, {"ref": "novikovandrii/hose-prices-practice", "kernel_id": "29598258"}, {"ref": "borismbobe/when-to-use-kaggle-accelerators", "kernel_id": "29596949"}, {"ref": "borismbobe/feature-engineering-for-house-prices", "kernel_id": "29690095"}, {"ref": "adoumtaiga/evaluation-of-different-ml-algorithms", "kernel_id": "29633418"}, {"ref": "nightking11/nightking-11submission", "kernel_id": "29533323"}, {"ref": "rumbleftw/10-regression-algorithms-price-estimation", "kernel_id": "29690761"}, {"ref": "karishmasaini2451/house-price-prediction", "kernel_id": "29902513"}, {"ref": "deepudilikumar1/house-prediction", "kernel_id": "29407337"}, {"ref": "sabaparveen/first-t", "kernel_id": "29695229"}, {"ref": "vincentbrunner/ml-from-scratch-regularization-visualized", "kernel_id": "29450806"}, {"ref": "jayshaver/housing-price-prediction", "kernel_id": "29765211"}, {"ref": "rutikachavan/housing-project", "kernel_id": "29652976"}, {"ref": "danielkwapien/house-prices-regression", "kernel_id": "29486405"}, {"ref": "koustavghosh149/simple-approach-to-houseprice-prediction-dataset", "kernel_id": "29038434"}, {"ref": "payaljin/house-prices-advanced-regression-techniques", "kernel_id": "29129278"}, {"ref": "rishi605/house-price-prediction-advance-regression", "kernel_id": "29250889"}, {"ref": "usamabalochhh/eda-full-logistic-regression-explanation", "kernel_id": "29356281"}, {"ref": "usamabalochhh/data-is-imbalanced-use-smote", "kernel_id": "29374786"}, {"ref": "usamabalochhh/comparison-of-tree-based-models-with-explanation", "kernel_id": "29050750"}, {"ref": "vaishnavi28krishna/house-price-prediction-using-ensembletechniques", "kernel_id": "29809966"}, {"ref": "sahilkirtane/home-price-prediction-advance-regression", "kernel_id": "29386828"}, {"ref": "wesessig/house-prices", "kernel_id": "29954831"}, {"ref": "themagicfelix/houseofrisingsun", "kernel_id": "29277274"}, {"ref": "cyb3rf0x/house-prices", "kernel_id": "29897171"}, {"ref": "mohamedalisalama/advanced-eda-random-forest-gradient-boosting", "kernel_id": "29920118"}, {"ref": "kingofmordor/regularized-linear-models", "kernel_id": "29873284"}, {"ref": "rafiaaa/house-prices-advanced-regression", "kernel_id": "29504452"}, {"ref": "minhazengg/house-price-prediction", "kernel_id": "29996012"}, {"ref": "ltrahul/solving-regression-problem-with-h2o-ai", "kernel_id": "29734743"}, {"ref": "avinashreddy123/ml-project", "kernel_id": "29369251"}, {"ref": "nadagamal3/boston-house", "kernel_id": "29215124"}, {"ref": "azharimaul/notebookf0a4452bcc", "kernel_id": "29381069"}, {"ref": "abhishekr4agh4v/adv-reg-house-price", "kernel_id": "29878951"}, {"ref": "kinnerakiran/neural-network-model-tensorflow-for-house-prices", "kernel_id": "29302392"}, {"ref": "viktortaran/houses", "kernel_id": "29305351"}, {"ref": "kevinmorgado/house-prices-cleaning-and-eda", "kernel_id": "29163875"}, {"ref": "kevinmorgado/price-prediction-through-linear-reg-and-xgboost", "kernel_id": "29345655"}, {"ref": "doggypiggy/houseprices-top-4-0-11880", "kernel_id": "29289315"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "bansodesandeep/ml-logistic-regression-boston-data-binning", "kernel_id": "29915382"}, {"ref": "bansodesandeep/frequently-asked-python-coding-qs-in-ds-interview", "kernel_id": "29896755"}, {"ref": "ahmedramsey/house-pricing", "kernel_id": "29531834"}, {"ref": "brskdnz/machine-learning-models", "kernel_id": "29448340"}, {"ref": "shehanu/getting-started-with-house-prices-advanced-regr", "kernel_id": "29132964"}, {"ref": "yottantokushima/day3-pm-ml-eda-0802", "kernel_id": "29234017"}, {"ref": "yottantokushima/submission-test", "kernel_id": "29778683"}, {"ref": "rayenghali023/first-submission-simple-regression-and-cleaning", "kernel_id": "29585172"}, {"ref": "mdashifmallick/house-price-prediction-88-accuracy-with-gbr", "kernel_id": "29247134"}, {"ref": "omerrtopcu/house-prices-prices-exploratory-data-analysis", "kernel_id": "29477381"}, {"ref": "enesarslan8/house-price-prediction", "kernel_id": "29584707"}, {"ref": "majkaf/house-prices-eda-advanced-regression", "kernel_id": "29125352"}, {"ref": "sneh20/house-prediction-using-linearegresssion", "kernel_id": "29761512"}, {"ref": "alexandrkolomijec/house-prices-beginner", "kernel_id": "29160523"}, {"ref": "baisy24/house-price-missingvalue-randomforest-xgboost", "kernel_id": "29077970"}, {"ref": "gustavomichel/house-price", "kernel_id": "29136745"}, {"ref": "elmanz/houseprices", "kernel_id": "29146480"}, {"ref": "ashutoshsingh94/house-price-prediction", "kernel_id": "29893934"}, {"ref": "hugomarine/my-notebook-house-prices", "kernel_id": "29130203"}, {"ref": "emersonyu/house-prices-first-time-kaggle", "kernel_id": "29108692"}, {"ref": "mikhailpaseka/advance-house-price-prediction-feature-engineering", "kernel_id": "29242251"}, {"ref": "mikhailpaseka/advance-house-price-prediction-data-analisis", "kernel_id": "29206627"}, {"ref": "georgipopov11/neural-networks", "kernel_id": "29500617"}, {"ref": "georgipopov11/nn-decision-trees", "kernel_id": "29510943"}, {"ref": "francescoliveras/house-prices-en-es", "kernel_id": "29735555"}, {"ref": "abdurraffay00/house-price-prediction-score-0-13842", "kernel_id": "29382121"}, {"ref": "anthonyokolo/house-prices-advanced-regression-technique", "kernel_id": "29098908"}, {"ref": "jianiancen/house-price-shallow-ml", "kernel_id": "29139166"}, {"ref": "anjanakavid/house-prices-advanced-regression-techniques-1", "kernel_id": "29327545"}, {"ref": "chakrabortyarnab/blending-multiple-regressor-predictions", "kernel_id": "29406925"}, {"ref": "aswinbs/katylistaiml", "kernel_id": "29229663"}, {"ref": "praneeshsharma/house-price-prediction", "kernel_id": "29482640"}, {"ref": "xelov35/houseprice", "kernel_id": "29367477"}, {"ref": "victordoin/house-prices-prediction", "kernel_id": "29429344"}, {"ref": "shravantiyerawar/house-prices-advanced-regression-score-0-13309", "kernel_id": "29365162"}, {"ref": "takumishoyama/notebook-house-prices", "kernel_id": "29544769"}, {"ref": "tanujasreekanth/guide-for-comprehensive-data-exploration-in-python", "kernel_id": "29633422"}, {"ref": "jinsatp/eda-and-various-regression-analysis-for-beginners", "kernel_id": "29545133"}, {"ref": "pmazzia63/tensorflow-nn", "kernel_id": "29742414"}, {"ref": "sajadbanazadeh/notebook6d744484f4", "kernel_id": "29834486"}, {"ref": "matthieugouel/house-prices-easy-mode-top-12", "kernel_id": "29962164"}, {"ref": "itsanjalichaudhary/house-prices-advanced-regression", "kernel_id": "29945439"}, {"ref": "makitdev/house-prices-regression-fastai", "kernel_id": "29923052"}, {"ref": "marloncodes/notebook579af18372", "kernel_id": "29769467"}, {"ref": "daavidhauser/housing-prices-challenge", "kernel_id": "29927854"}, {"ref": "kyledent/handcoding-a-linear-regression-solution", "kernel_id": "30086426"}, {"ref": "lperto/house-prices-gau-ds-call-ii", "kernel_id": "30277573"}, {"ref": "farazbukhari0/house-price-prediction", "kernel_id": "30404692"}, {"ref": "mschuer/house-price-predicitons", "kernel_id": "30536458"}, {"ref": "enric1296/notebook-baseline", "kernel_id": "30877636"}, {"ref": "sandy1811/eda-python-house-price-regression", "kernel_id": "30010581"}, {"ref": "nnjjpp/tuning-hyperparameters-with-iterative-methods", "kernel_id": "30112892"}, {"ref": "feraco/r-workshop", "kernel_id": "30777450"}, {"ref": "gbatiash/course-house-pricing", "kernel_id": "30277944"}, {"ref": "ahmed1234444/step-by-step-house-pricing", "kernel_id": "30285117"}, {"ref": "leodaniel/techshot-ml-01", "kernel_id": "30905217"}, {"ref": "bahaakhaled97/house-prediction-adv", "kernel_id": "30059942"}, {"ref": "sonick/eda-basemode-wip-l", "kernel_id": "30275862"}, {"ref": "takedat/ames-housing-price-regression", "kernel_id": "30537750"}, {"ref": "sagarc/eda-house-prices", "kernel_id": "30104990"}, {"ref": "rsizem2/house-prices-simple-submission", "kernel_id": "30267624"}, {"ref": "rsizem2/house-prices-data-cleaning-and-preprocessing", "kernel_id": "30124434"}, {"ref": "rsizem2/house-prices-feature-selection", "kernel_id": "30347114"}, {"ref": "dagneazene/gridsearch-cv-for-xgboost-pipeline", "kernel_id": "30057490"}, {"ref": "niramay/house-prices-v2", "kernel_id": "30959850"}, {"ref": "saraswatitiwari/tps-september-2022", "kernel_id": "30227773"}, {"ref": "umegshamza/house-price-with-xgbost", "kernel_id": "30822051"}, {"ref": "umegshamza/house-price-preduction-with-pca", "kernel_id": "30796366"}, {"ref": "umegshamza/house-price-preduction-scaled-and-not-scaled", "kernel_id": "30791283"}, {"ref": "umegshamza/house-price-prediction", "kernel_id": "30704618"}, {"ref": "josepharivera/house-prices-advanced-regression-technique", "kernel_id": "30437864"}, {"ref": "josepharivera/1-house-prices-solution-top-1-v2", "kernel_id": "30318940"}, {"ref": "takutokitagawa/house-prices-v2", "kernel_id": "30298048"}, {"ref": "monarchgui/house-prices-advanced-regression-techniques", "kernel_id": "30443921"}, {"ref": "veeraphatreanprasert/house-prices-analyze-the-data", "kernel_id": "30650611"}, {"ref": "lfz5cv/notebook056443e6f6", "kernel_id": "30553991"}, {"ref": "firstkits/stacking-ensemble-eda", "kernel_id": "30386288"}, {"ref": "taha07/fundamental-feature-engineering-techniques", "kernel_id": "30323634"}, {"ref": "omarsabouni/beginner-s-guide-to-the-top-4-on-leaderboard", "kernel_id": "30406368"}, {"ref": "nkemakolamonyemachi/houseprediction-eda-prediction", "kernel_id": "30663303"}, {"ref": "anthonysusevski/my-example-housing-notebook", "kernel_id": "30881178"}, {"ref": "natigmamishov/house-prices-prediction-with-lasso", "kernel_id": "30252780"}, {"ref": "luigigiugliano/house-prices-advanced-regression-techniques", "kernel_id": "30537239"}, {"ref": "harshitgupta0105/ee460j-lab2", "kernel_id": "30348813"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-linear-regression", "kernel_id": "30877457"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "muhammadbilalhaneef/plotly-linearreg-decisiontree-randomforest-svm", "kernel_id": "30594666"}, {"ref": "carolbolger/notebooke8179f7865", "kernel_id": "30001427"}, {"ref": "haiderjan/house-price-prediction", "kernel_id": "30044598"}, {"ref": "erikmanukyan/house-prices", "kernel_id": "30011557"}, {"ref": "fafafwzn/house-price", "kernel_id": "30388536"}, {"ref": "sabhapathi/priceprediction-using-regression", "kernel_id": "30931773"}, {"ref": "appuandrew/house-pricing-prediction-challenge", "kernel_id": "30825142"}, {"ref": "mayurspawar/house-price-regression-accuracy", "kernel_id": "30468322"}, {"ref": "kirasmith509/pandas", "kernel_id": "30724353"}, {"ref": "alsayedhamdy/house-pricing-with-svm", "kernel_id": "30360178"}, {"ref": "neesham/nlp-for-beginners", "kernel_id": "30979766"}, {"ref": "aligsaoud/feature-engineering-for-house-prices", "kernel_id": "30210031"}, {"ref": "aligsaoud/house-prices-competition-2", "kernel_id": "30279797"}, {"ref": "sarindasamarasinghe/cap6411-assignment1", "kernel_id": "30293343"}, {"ref": "robertobonilla/explained-100-advanced-regression-for-beginners", "kernel_id": "30427654"}, {"ref": "marigogaladze/house-pricing-mg", "kernel_id": "30277572"}, {"ref": "swapnilnarwade/house-prices-advanced-regression-techniques", "kernel_id": "30561884"}, {"ref": "adirogahana/house-price-prediction-project", "kernel_id": "30598228"}, {"ref": "hossamsaoud/house-prices-predictions", "kernel_id": "30736010"}, {"ref": "hossamsaoud/notebook8bef15288b", "kernel_id": "30616495"}, {"ref": "enwq2000/predictions", "kernel_id": "30272415"}, {"ref": "dongdongxzoez/python-topic-2", "kernel_id": "30220900"}, {"ref": "dongdongxzoez/python-topic-3", "kernel_id": "30284871"}, {"ref": "dhruvbais/linear-model-for-house-prediction-lab-3", "kernel_id": "30217304"}, {"ref": "chandruuk/house-prices", "kernel_id": "30914701"}, {"ref": "peremartramanonellas/house-prices-how-to-deal-with-the-data", "kernel_id": "30236292"}, {"ref": "blarno/house-prices", "kernel_id": "30452187"}, {"ref": "vanshsharma10/gsoc-2022-house-price-prediction-using-tf-df", "kernel_id": "30450767"}, {"ref": "sayedshahidhussain/house-price-prediction-challenge", "kernel_id": "30173373"}, {"ref": "adilmohammed/house-price-prediction", "kernel_id": "30603331"}, {"ref": "vickysen/house-price-prediction-advance-regression", "kernel_id": "30845868"}, {"ref": "pavelkoloyan/house-prices-catboost-lasso-ridge", "kernel_id": "30642463"}, {"ref": "afnanmmir/lab2-kaggle", "kernel_id": "30251478"}, {"ref": "daviddragon/simple-linear-regression-data-preprocessing", "kernel_id": "30876314"}, {"ref": "shadowhat/exercise-house-prices-prediction-with-tabnet", "kernel_id": "30913537"}, {"ref": "jainamrajput/advancedhousepriceprediction-eda-modelling", "kernel_id": "30045666"}, {"ref": "bhatnagardaksh/gradient-descent-from-scratch", "kernel_id": "30714002"}, {"ref": "ridamahmood005/basic-regression-techniques-in-supervised-learning", "kernel_id": "30391073"}, {"ref": "timurtalikbayev/kaggle-house-prices-basics", "kernel_id": "30352679"}, {"ref": "hatokgl/houseprice-eda-and-visualization", "kernel_id": "30784373"}, {"ref": "pantanjali/house-price-prediction-with-machine-learning", "kernel_id": "30115003"}, {"ref": "refaatbatal/house-prices-prediction", "kernel_id": "30268140"}, {"ref": "satishgunasekaran/simple-neural-network", "kernel_id": "30016411"}, {"ref": "kalelpark/meta-pseudo-label-for-korean", "kernel_id": "30750608"}, {"ref": "riobastian/house-price-prediction-competition-project", "kernel_id": "30050226"}, {"ref": "gigihsantoso/deep-neural-network-house-price", "kernel_id": "30204001"}, {"ref": "karimabdulnabi/house-price", "kernel_id": "30859234"}, {"ref": "kaushalpowar/house-prices-solution", "kernel_id": "30953310"}, {"ref": "theowalcot/house-prices-advanced-regression-techniques", "kernel_id": "30739420"}, {"ref": "hummetbelli/stacking-house-price-prediction", "kernel_id": "30561576"}, {"ref": "klyushnik/house-prices-advanced-regression-techniques", "kernel_id": "30986779"}, {"ref": "sharinelautrey/housing-project", "kernel_id": "30887594"}, {"ref": "anjalic25/house-prices-advanced-regression", "kernel_id": "30480131"}, {"ref": "baotanguyen/feature-engineering-for-house-prices", "kernel_id": "30737490"}, {"ref": "prasadposture121/randomforestclassifier", "kernel_id": "30902002"}, {"ref": "chandravanshishubham/housing-price-regularized-linear-models", "kernel_id": "30043970"}, {"ref": "shaheerhussain/house-price-prediction-multiple-pipeline", "kernel_id": "30909626"}, {"ref": "anandswati712/house-price", "kernel_id": "30803724"}, {"ref": "enukawa/ds-20220920", "kernel_id": "30555429"}, {"ref": "khashayarrahimi94/no-ml-just-statistical-analysis", "kernel_id": "30637667"}, {"ref": "mahatalaat/house-price", "kernel_id": "30566031"}, {"ref": "warleycastro/notebook08b54c7a03", "kernel_id": "30508919"}, {"ref": "tekleortoidze/house-prices-dataset", "kernel_id": "30385797"}, {"ref": "pratyushmalik/house-price-prediction", "kernel_id": "30280213"}, {"ref": "nalinmahajan16/house-price-prediction", "kernel_id": "30217835"}, {"ref": "maharanasaroj/housepriceprediction-eda-best-mlalgomodel", "kernel_id": "30533636"}, {"ref": "zawlinmaung/house-price-prediction-using-ridge-regression", "kernel_id": "30136349"}, {"ref": "vadymyat/house-prices", "kernel_id": "30868592"}, {"ref": "pratikpal1/house-prices-prediction-competition", "kernel_id": "30419333"}, {"ref": "ganeshwaralla/house-saleprice-prediction", "kernel_id": "30931296"}, {"ref": "vasiliiplotnikov/finnotebook", "kernel_id": "30923477"}, {"ref": "giacomocavalca/house-prices-eda-ml-approaches", "kernel_id": "30010489"}, {"ref": "giacomocavalca/house-prices-basic-analysis-eda-xgboost", "kernel_id": "30587410"}, {"ref": "prateekkumarsingh025/house-price-prediction", "kernel_id": "30482696"}, {"ref": "ds11sivakumarp/house-pretiction", "kernel_id": "30852365"}, {"ref": "usamabalochhh/comprehensive-guide-to-solve-tabular-problem", "kernel_id": "30103711"}, {"ref": "rohanmathew9209/advance-regression-efficiency", "kernel_id": "30958617"}, {"ref": "zeeshankhan1345/handling-missing-data", "kernel_id": "30115174"}, {"ref": "julienprost/house-prices-competition-regression-blending", "kernel_id": "30096671"}, {"ref": "omarreess/house-prices-predication-model-selection", "kernel_id": "30482952"}, {"ref": "nataliavsreis/atividade-6", "kernel_id": "30722016"}, {"ref": "ananyasingh008/exploratory-data-analysis-on-house-price-data-set", "kernel_id": "30391384"}, {"ref": "bryancorn/house-prices-advanced-regression-techniques", "kernel_id": "30627598"}, {"ref": "manikantaalla/house-price-prediction", "kernel_id": "30931339"}, {"ref": "tmleyncodes/house-price-regression-competition", "kernel_id": "30521119"}, {"ref": "kckawalkar/house-price-predictions", "kernel_id": "30125186"}, {"ref": "miroslavkirnak/house-price-prediction-lassocv-0-1198-top-5", "kernel_id": "30678699"}, {"ref": "nobodymartin/practice-with-visualization-eda-xgb-in-ds", "kernel_id": "30727821"}, {"ref": "nobodymartin/lightgbm-explanation-practice-with-dataset", "kernel_id": "30786405"}, {"ref": "nguyenhuynhthuytien/ames-house-price", "kernel_id": "30705609"}, {"ref": "manojgharge07/k-means-clustering", "kernel_id": "30604094"}, {"ref": "manojgharge07/capston-project-2-covid19", "kernel_id": "30586159"}, {"ref": "manojgharge07/classification-in-machine-learning-logistic-regres", "kernel_id": "30681581"}, {"ref": "manojgharge07/rfm-analysis", "kernel_id": "30899098"}, {"ref": "manojgharge07/advanced-topic-modeling-with-bertopic", "kernel_id": "30424442"}, {"ref": "sushilyeotiwad/bostondata-target-binning-apply-logisticregression", "kernel_id": "30603223"}, {"ref": "bansodesandeep/credit-card-default-prediction", "kernel_id": "30687381"}, {"ref": "bansodesandeep/netflix-movies-and-tv-shows-clustering", "kernel_id": "30641163"}, {"ref": "bansodesandeep/nlp-predicting-sentiment-of-covid-19-tweets", "kernel_id": "30444851"}, {"ref": "jutansy/ames-housing-dataset", "kernel_id": "30531559"}, {"ref": "celinehernandez/notebook354c0a9934", "kernel_id": "30850759"}, {"ref": "joovctorrodrigues/house-price-knn", "kernel_id": "30376058"}, {"ref": "joovctorrodrigues/house-price-decisiontree", "kernel_id": "30341960"}, {"ref": "ekaterinegloveli/egloveli", "kernel_id": "30277773"}, {"ref": "engrahsantariq/house-prices-analysis-using-linear-ridge-and-xgb", "kernel_id": "30850748"}, {"ref": "temurikvikvinia/house-pricing-tk", "kernel_id": "30277566"}, {"ref": "shubhamgadekar/house-prices-prediction-model", "kernel_id": "30929102"}, {"ref": "teimurazgamkrelidze/house-pricing-tg", "kernel_id": "30277790"}, {"ref": "cbhavik/complete-guide-to-linearreg-tqdm-model", "kernel_id": "30177894"}, {"ref": "parkerholt/house-prices-competition", "kernel_id": "30372802"}, {"ref": "shehabkhaled299/notebook00da776afb", "kernel_id": "30097961"}, {"ref": "mmiirrkk/house-price-prediction-multiple-models", "kernel_id": "30572490"}, {"ref": "mertkra/advanced-h-reg-filling-nan-values", "kernel_id": "30821537"}, {"ref": "anuragshukla2404/house-prices", "kernel_id": "30631140"}, {"ref": "yashpaloswal/house-price-eda-ml-ols-ridge-lasso", "kernel_id": "30328183"}, {"ref": "mariammowafy/house-prices", "kernel_id": "30994819"}, {"ref": "deepshikha0105/house-price-prediction-ml", "kernel_id": "30304136"}, {"ref": "raushankumarpandey/a-complete-pandas-tutorial", "kernel_id": "30474551"}, {"ref": "alexkollaritsch/housing-prices-random-forest-regression", "kernel_id": "30081645"}, {"ref": "huseyincosgun/eda-visualization-skills", "kernel_id": "30268119"}, {"ref": "omarmohamedmostafa/regularized-linear-regression-using-elasticnet", "kernel_id": "30212207"}, {"ref": "levankalandadze/house-prices-levan-kalandadze", "kernel_id": "30277786"}, {"ref": "sopikokvikvinia/house-pricing-kvikvinia", "kernel_id": "30277564"}, {"ref": "sopikokvikvinia/notebookecbf408815", "kernel_id": "30588904"}, {"ref": "yoyokuo/random-forest-bagging", "kernel_id": "30650410"}, {"ref": "benchun99/house-prices-linear-regression", "kernel_id": "30698539"}, {"ref": "michamitura/house-prices-multiple-models", "kernel_id": "30159593"}, {"ref": "kevindebossann/modelo", "kernel_id": "30567220"}, {"ref": "mikita1580/house-prices-nn", "kernel_id": "30891003"}, {"ref": "abraamadamidis/house-prices-nothing-special", "kernel_id": "30073209"}, {"ref": "rodmnzs/house-prices-advanced-regression-techniques", "kernel_id": "30714075"}, {"ref": "arnavkapoor10/housing-price-predictions", "kernel_id": "30401889"}, {"ref": "blalbora/linear-reg-beg", "kernel_id": "30158691"}, {"ref": "bhavyabhola/housing-prices-predictions-by-xgb", "kernel_id": "30980771"}, {"ref": "simonebergmann/advanced-house-price-analysis", "kernel_id": "30147299"}, {"ref": "jujuboar/house-price-eda-fe", "kernel_id": "30010842"}, {"ref": "aieducation/house-price-xgboost-randomizedsearchcv", "kernel_id": "30981420"}, {"ref": "raghurayirath/house-prices-gbr-bgm-rf-detailed-eda-plotly", "kernel_id": "30369360"}, {"ref": "raghurayirath/complete-guide-assumptions-of-linear-regression", "kernel_id": "30737269"}, {"ref": "ponco2/notebookf218ec930a", "kernel_id": "30070355"}, {"ref": "ivanandreevets/price-regression", "kernel_id": "30118772"}, {"ref": "sofiekardonik/lab-2-reg-linear-models", "kernel_id": "30217196"}, {"ref": "seanspr/underfitting-overfitting-models-lab-3", "kernel_id": "30629165"}, {"ref": "abhishekcrdsa7ds/lab-3-updated", "kernel_id": "30349195"}, {"ref": "abhishekcrdsa7ds/lab2-kaggle", "kernel_id": "30500765"}, {"ref": "itnaava/housing-prices-eda-prediction", "kernel_id": "30338622"}, {"ref": "ambatiajay/ambati-ajay-house-prices", "kernel_id": "30315659"}, {"ref": "nidhisdubagunta/house-price-predictions-lab-2", "kernel_id": "30315939"}, {"ref": "soheeeejeong/lab-3", "kernel_id": "30514414"}, {"ref": "datatrio/lab2-lab3-data-science-lab", "kernel_id": "30321603"}, {"ref": "soori1908/data-science-lab-predicting-house-prices-soorya", "kernel_id": "30335761"}, {"ref": "rizkia14/a-complete-guide-to-k-nearest-neighbours", "kernel_id": "30958103"}, {"ref": "aupalmondal/lab-2-q4", "kernel_id": "30349107"}, {"ref": "anirudhm77/data-science-lab-predicting-house-prices-anirudh", "kernel_id": "30336078"}, {"ref": "saptarshimondal1/notebook5d4a6361fb", "kernel_id": "30345237"}, {"ref": "jonathanvasilyev/notebookb611ea9ce5", "kernel_id": "30346341"}, {"ref": "rajmlai/house-price-prediction", "kernel_id": "30670236"}, {"ref": "cjx2002/report5", "kernel_id": "30377762"}, {"ref": "kriothekaizoku/house-price-prediction", "kernel_id": "30401896"}, {"ref": "mahmoudfawzyahmed/regression", "kernel_id": "30457032"}, {"ref": "ambikachaudharya/house-prices-advanced-regression", "kernel_id": "30480134"}, {"ref": "wanghunter/house-prices-prediction", "kernel_id": "30552408"}, {"ref": "tiansztianszs/house-price", "kernel_id": "30728232"}, {"ref": "spacehedgehog/1st-house-price-eda", "kernel_id": "30980100"}, {"ref": "georgemounir82/eda-on-house-prices", "kernel_id": "30652039"}, {"ref": "shahrosek/house-price-prediction-eda-and-feature-engineering", "kernel_id": "30896446"}, {"ref": "prahulreddy/house-price-prediction-top-20", "kernel_id": "30851365"}, {"ref": "xiefei/02-house", "kernel_id": "31576740"}, {"ref": "xiefei/feature-engineering-for-house-prices", "kernel_id": "31346556"}, {"ref": "bbergerud/ames-housing-regression-stacking-and-kriging", "kernel_id": "31814200"}, {"ref": "gianpaolobulleddu/lgb-starter-0-13867", "kernel_id": "31128201"}, {"ref": "gianpaolobulleddu/simple-kfold-0-11971", "kernel_id": "31896576"}, {"ref": "omerbolukbasi/ensemble-regularized-regression-house-prices", "kernel_id": "31188113"}, {"ref": "gameatro/house-price-prediction", "kernel_id": "31915694"}, {"ref": "kppooja96/house-prediction-xgboost-rf-neuarl-networks", "kernel_id": "31740772"}, {"ref": "noussaons/linear-regression", "kernel_id": "31019214"}, {"ref": "rsizem2/house-prices-lightgbm-w-dropout-regularization", "kernel_id": "31573300"}, {"ref": "rsizem2/house-prices-optimized-lightgbm", "kernel_id": "31565525"}, {"ref": "rsizem2/house-prices-optimize-sklearn-models-w-optuna", "kernel_id": "31633541"}, {"ref": "rsizem2/house-prices-optimized-xgboost", "kernel_id": "31299300"}, {"ref": "rsizem2/house-prices-xgboost-w-dropout-regularization", "kernel_id": "31498148"}, {"ref": "rsizem2/house-prices-comparing-models", "kernel_id": "31239460"}, {"ref": "eugenepogulyay/attempt-3-xgboost-and-preprocessing-of-the-data", "kernel_id": "31332125"}, {"ref": "runhangge/houseprice-runhangge", "kernel_id": "31640912"}, {"ref": "pyranjan/advance-regression-house-pricing-prediction", "kernel_id": "31319744"}, {"ref": "nooruddinqur/house-prices-regression", "kernel_id": "31594781"}, {"ref": "rababazeem/house-prices-template", "kernel_id": "31446780"}, {"ref": "gitanjali1425/house-price-regression", "kernel_id": "31156226"}, {"ref": "hadeux/simple-regressor-baseline", "kernel_id": "31659227"}, {"ref": "niramay/rfm-analysis", "kernel_id": "31055499"}, {"ref": "lokeshrth4617/xgboost-state-of-the-art", "kernel_id": "31019216"}, {"ref": "kristi1708/house-price-predict", "kernel_id": "31519433"}, {"ref": "reisecat/catboost-score-0-13639", "kernel_id": "31729933"}, {"ref": "rohitrajipba/house-prices-analysis-using-linear-ridge-and-xgb", "kernel_id": "31002400"}, {"ref": "mehmetcandemir/a-study-on-ames-housing-dataset-int-advanced", "kernel_id": "31735822"}, {"ref": "drorlupu/simple-regressor-baseline", "kernel_id": "31803900"}, {"ref": "ksumeet/xbregressor-eda-feature-scaling", "kernel_id": "31038328"}, {"ref": "nccv3v/house-price-prediction", "kernel_id": "31377168"}, {"ref": "nobodysboredom/feature-engineering-for-house-price-z-score", "kernel_id": "31857072"}, {"ref": "toniju98/houseprices", "kernel_id": "31808131"}, {"ref": "nehahatti/house-price-prediction", "kernel_id": "31581219"}, {"ref": "ajinkya03raut/house-prediction", "kernel_id": "31388975"}, {"ref": "raibabar/linear-regression-for-house-price-prediction", "kernel_id": "31188010"}, {"ref": "rizkynindra/pertemuan-09-selling-price-prediction", "kernel_id": "31821423"}, {"ref": "tevfkgul/house-prices-competition", "kernel_id": "31620485"}, {"ref": "maisabdalrazeq/class10-demo", "kernel_id": "31855654"}, {"ref": "adolfomomparler/nb-base", "kernel_id": "31627639"}, {"ref": "cheylee/notebooke1bbf6d55d", "kernel_id": "31515667"}, {"ref": "ednazhang/house-prices-k-fold-cross-validation", "kernel_id": "31389423"}, {"ref": "anniecarbonneau/house-price-feature-engineering-linear-regression", "kernel_id": "31601687"}, {"ref": "dataranch/xgb-fastai-tabnet-feature-importance", "kernel_id": "31015720"}, {"ref": "arlenawang/housing-prices", "kernel_id": "31240957"}, {"ref": "maybeankit/house-prices-prediction-pyspark", "kernel_id": "31342516"}, {"ref": "quiquemolinero/notebook-quique", "kernel_id": "31333322"}, {"ref": "joerobcia/notebook-baseline-alter", "kernel_id": "31659749"}, {"ref": "kainekaribigeorge/house-prices-predictions", "kernel_id": "31120426"}, {"ref": "ridamahmood005/end-to-end-machine-learning-housing-prices", "kernel_id": "31378286"}, {"ref": "mayyakotyga/check-hyp", "kernel_id": "31863835"}, {"ref": "timurtalikbayev/kaggle-house-prices-basics-v-2", "kernel_id": "31957145"}, {"ref": "manikantagoli/notebook1166d85352", "kernel_id": "31653322"}, {"ref": "diptinagvekar/house-sale-price-prediction", "kernel_id": "31899041"}, {"ref": "mehyadyadegari/notebook4647716eed", "kernel_id": "31447650"}, {"ref": "srivatsas05/house-price-using-regressiontechniques", "kernel_id": "31209665"}, {"ref": "sunilsks/house-price-prediction-with-different-approaches", "kernel_id": "31680369"}, {"ref": "richardstlen/notebookf81b570566", "kernel_id": "31154649"}, {"ref": "sulimanhaqqyarjan/complete-machine-learning-tutorial-with-guideline", "kernel_id": "31701542"}, {"ref": "aidanbergstein/housing-price-kaggle-competition-aidan-bergstein", "kernel_id": "31604629"}, {"ref": "zareenabegum/house-price-prediction-using-different-regression", "kernel_id": "31927799"}, {"ref": "maheshnanavare/housing-prices2-xgboost-gridsearch", "kernel_id": "31728983"}, {"ref": "paridhis/housing-project", "kernel_id": "31495924"}, {"ref": "muhammedhassanfareed/notebookf7c16b5d25", "kernel_id": "31755410"}, {"ref": "kishan9044/top2000-1st-commit-house-price-competition", "kernel_id": "31981094"}, {"ref": "sadoubarry1/house-price", "kernel_id": "31048894"}, {"ref": "anhvutruong/house-prices", "kernel_id": "31002050"}, {"ref": "alessandrozanette/predicting-house-prices-rigde-regression-with-cv", "kernel_id": "31387361"}, {"ref": "aidandang/house-prices", "kernel_id": "31075792"}, {"ref": "sleymansmndov/house-price", "kernel_id": "31938310"}, {"ref": "andreiermakov/fork-of-notebookab566d7e8c", "kernel_id": "31187810"}, {"ref": "andreiermakov/notebookab566d7e8c", "kernel_id": "31037560"}, {"ref": "viniciusluizfranca/house-prices-rmse-25935-74", "kernel_id": "31334868"}, {"ref": "vokeeshemitan/house-price", "kernel_id": "31184581"}, {"ref": "revatishingole/feature-engineering-for-house-prices", "kernel_id": "31848476"}, {"ref": "omkarvatsa/house-price-prediction-xgboost", "kernel_id": "31376597"}, {"ref": "askasa/houseprice-prediction", "kernel_id": "31132574"}, {"ref": "manolindinet/precios-de-casas", "kernel_id": "31817977"}, {"ref": "tolgatanrisever/house-price-eda-modelling", "kernel_id": "31423382"}, {"ref": "brunosoaresdossantos/house-prices-para-iniciantes-top-17", "kernel_id": "31474053"}, {"ref": "giuliacaa/house-prices", "kernel_id": "31071506"}, {"ref": "sagargadeg/penalized-regression-and-xgbregressor", "kernel_id": "31182403"}, {"ref": "bananaapple02/notebookd05372c314", "kernel_id": "31264935"}, {"ref": "tngnguyen/house-price-predcit-beginner", "kernel_id": "31119755"}, {"ref": "chuxiaoyu1/notebookf9e8031762", "kernel_id": "31567253"}, {"ref": "emreyldzolu/house-price-gbm", "kernel_id": "31244105"}, {"ref": "zakariajoudar/random-forest-house-price", "kernel_id": "31431346"}, {"ref": "abrorshopulatov/random-forest-neural-networks-with-fastai", "kernel_id": "31459889"}, {"ref": "yashnikam10/housepricing", "kernel_id": "31515106"}, {"ref": "jocker3/price-house", "kernel_id": "31620735"}, {"ref": "mnks90/dat158-assigment2-1", "kernel_id": "31825608"}, {"ref": "cantaloupe0707/house-price-ml", "kernel_id": "31210163"}, {"ref": "martineneota/iowa-house-prices-competition-dataset-analysis", "kernel_id": "31982021"}, {"ref": "yazanaltarifi/housespricesregression", "kernel_id": "31639898"}, {"ref": "stanislavalekseev/explore-analayse-and-predict-of-house-prices", "kernel_id": "31771290"}, {"ref": "gobals89/house-prices-randomforest-xgboost", "kernel_id": "31021219"}, {"ref": "prathameshj737/house-price-competition", "kernel_id": "31089412"}, {"ref": "rohith3330/classification-metrics-ps", "kernel_id": "31487650"}, {"ref": "johnsonchishimba/house-price-machine-learning", "kernel_id": "31148955"}, {"ref": "mikhailsukhanov55/house-prices-data-cleaning-feature-engineering", "kernel_id": "31045658"}, {"ref": "edacebeci/house-price-competition-code", "kernel_id": "31143952"}, {"ref": "borjabriaspardo/notebook-baseline", "kernel_id": "31393615"}, {"ref": "shiyoutai/tokyo-ix-house", "kernel_id": "31548911"}, {"ref": "shiyoutai/house-prices", "kernel_id": "31731226"}, {"ref": "swastibhagora/ml-project", "kernel_id": "31519086"}, {"ref": "girishvutukuri/exercise-house-prices-prediction", "kernel_id": "31007329"}, {"ref": "hemanthy23/notebooke6363f2a1c", "kernel_id": "31653901"}, {"ref": "shivanigattigorla/notebooke2", "kernel_id": "31760745"}, {"ref": "wowthecoder/house-prices-competition", "kernel_id": "31591551"}, {"ref": "busranurderinoz/houseprices-eda-ml", "kernel_id": "31432180"}, {"ref": "mdzahedulislam07/housing-prices2-xgboost-gridsearch-pipeline", "kernel_id": "31738484"}, {"ref": "aryasharma123/house-price-prediction-model", "kernel_id": "31734938"}, {"ref": "ekaterinalogutova/house-prices-linear-regression", "kernel_id": "31539076"}, {"ref": "rubparsa/notebook-baseline-eb3ba8", "kernel_id": "31837518"}, {"ref": "natnif/testing-machine-learning-techniques", "kernel_id": "31283427"}, {"ref": "alpertekiin/saleprice-analysis", "kernel_id": "31967312"}, {"ref": "divyac95/predicting-selling-prices", "kernel_id": "31350321"}, {"ref": "ahmeturunveren/don-t-try", "kernel_id": "31841251"}, {"ref": "benchun99/house-prices-xgboost", "kernel_id": "31277389"}, {"ref": "keigakusei/trainingnow-house-prices-predict20221022", "kernel_id": "31548692"}, {"ref": "prem113/house-price-v1", "kernel_id": "31861965"}, {"ref": "hansenbdl/house-price-prediction-with-data-cleaning-and-rfr", "kernel_id": "31807565"}, {"ref": "hanovdamir/notebook7688334ab7", "kernel_id": "31032682"}, {"ref": "krishnanaryan/house-price-prediction", "kernel_id": "31821730"}, {"ref": "shivanshuverma/user-and-beginner-friendly-linear-regression-model", "kernel_id": "31298093"}, {"ref": "keenoglanville/a-fool-s-guide-to-linear-regression-r", "kernel_id": "31949998"}, {"ref": "harukakoba/notebook-20221028", "kernel_id": "31754695"}, {"ref": "harukakoba/notebook20221023", "kernel_id": "31586191"}, {"ref": "gabrielko/house-pricing-ridge-and-lasso", "kernel_id": "31329301"}, {"ref": "seanspr/under-overfitting-models-lab-3", "kernel_id": "31633514"}, {"ref": "tarunkumar1912/house-prices-using-ols-method", "kernel_id": "31007717"}, {"ref": "faisaljanjua0555/eda-google-play-store-apps", "kernel_id": "31906707"}, {"ref": "khaledatef1/price-prediction-from-start-to-finish-top-15", "kernel_id": "31647664"}, {"ref": "amyhsupp/109704022-hw3", "kernel_id": "31106310"}, {"ref": "madeehaashfaque/assign-madeeha-04old", "kernel_id": "31368419"}, {"ref": "mspraneeth123/class-project-b69515", "kernel_id": "31759244"}, {"ref": "junumemoto/handson-fork-submitting-from-a-kernel", "kernel_id": "31675013"}, {"ref": "vyslon/australia-house-prices", "kernel_id": "31489932"}, {"ref": "bluedreamv1b3/house-price-forcasting-detail-eda", "kernel_id": "31063587"}, {"ref": "kaalicharan9080/house-price-prediction-random-forest", "kernel_id": "31737379"}, {"ref": "mianumairnaseer/housing-prediction-with-xgbregressor-and-gridseach", "kernel_id": "31582641"}, {"ref": "spacehedgehog/house-price-handle-missing-value", "kernel_id": "31123849"}, {"ref": "stephanjaeckel/house-prices-step-by-step", "kernel_id": "31391330"}, {"ref": "wonghoitin/housing-lr-rsquared8788", "kernel_id": "31262995"}, {"ref": "grantleycullar/predicting-house-prices-with-xgboost-regressor", "kernel_id": "31208899"}, {"ref": "nirmalkondreddy/house-price-prediction-using-different-regression", "kernel_id": "31907244"}, {"ref": "elisaacosta/notebook-baseline-eli", "kernel_id": "31000282"}, {"ref": "oscrmartn/notebook-baseline", "kernel_id": "31042640"}, {"ref": "sratra/housing-data", "kernel_id": "31140024"}, {"ref": "sgellida/notebook-baseline", "kernel_id": "31080539"}, {"ref": "antoniocamarena/notebook-baseline-tarea1", "kernel_id": "31804924"}, {"ref": "k1utch/fork-of-submitting-from-a-kernel", "kernel_id": "31091481"}, {"ref": "chaitanya741/houseprice-prediction-using-randomforest", "kernel_id": "31496160"}, {"ref": "chaitanya741/predicting-housing-prices-using-neural-network", "kernel_id": "31319994"}, {"ref": "estheras/notebook-baseline1", "kernel_id": "31315012"}, {"ref": "bouncyself/notebooka5c6158fee", "kernel_id": "31523390"}, {"ref": "clincemichael/house-prices", "kernel_id": "31646852"}, {"ref": "yvettewong/notebook6f6db87d74", "kernel_id": "31460327"}, {"ref": "xnch2809/test1", "kernel_id": "31486079"}, {"ref": "nihalarya177/gxs-test", "kernel_id": "31818214"}, {"ref": "shaileshrathod/notebook482ceb808e", "kernel_id": "31972634"}, {"ref": "psemenova0201/polina-kate", "kernel_id": "31573473"}, {"ref": "yueliu9797/house-price", "kernel_id": "31851505"}, {"ref": "licgsg/house-price-mlr-ridge-lasso", "kernel_id": "31680233"}, {"ref": "shaanmukhsevellaa/ds-301", "kernel_id": "31633746"}, {"ref": "ivanvoronkov/house-prediction", "kernel_id": "31704370"}, {"ref": "mukulguru01/ml-prediction-model-version-latest", "kernel_id": "31705295"}, {"ref": "luisbeda/notebook-baseline-luis-ubeda", "kernel_id": "31782696"}, {"ref": "kyledent/multi-model-housing-prices-predictions", "kernel_id": "32216700"}, {"ref": "setumoraphelakamatlou/best-work-1-house-pricing-prediuctiion", "kernel_id": "32584464"}, {"ref": "shrutisaxena/house-price-prediction-advanced-linear-regresssion", "kernel_id": "32471027"}, {"ref": "christianhritter/housepricesadv-nni-tuning", "kernel_id": "32598071"}, {"ref": "vshantam/house-prices-prediction", "kernel_id": "32979190"}, {"ref": "possatti/house-prices", "kernel_id": "32477038"}, {"ref": "vinitkp/python-data-exploration-guide", "kernel_id": "32832841"}, {"ref": "artomas/train-and-test-data-comparison", "kernel_id": "32487361"}, {"ref": "agileteam/t2-4-house-prices-regression", "kernel_id": "32685983"}, {"ref": "rakesh82rawat/rr1-regression-housepriceprediction-rsq-95", "kernel_id": "32028082"}, {"ref": "nukalavijaya/house-price-regression", "kernel_id": "32687155"}, {"ref": "jirakst/easy-peezy-house-price-model", "kernel_id": "32175878"}, {"ref": "adnanshikh/feature-engineering-catboostregressor", "kernel_id": "32192006"}, {"ref": "docstein/implementa-o-de-stacking-com-scikit-learn", "kernel_id": "32744457"}, {"ref": "amitfr/house-price-prediction", "kernel_id": "32600893"}, {"ref": "simonpark333/ai01-hw4-house-price-khpark-120722-submit", "kernel_id": "32972127"}, {"ref": "strunkin/housepricesmodelsensamble", "kernel_id": "32694453"}, {"ref": "gfoucart/model-stacking-xgboost-rf", "kernel_id": "32042485"}, {"ref": "pulkit12dhingra/linear-regression-algorithm-by-hand", "kernel_id": "32095898"}, {"ref": "pulkit12dhingra/decision-tree-classifier-from-scratch", "kernel_id": "32863983"}, {"ref": "andrejzuba/house-prices-quick-neural-network-solution", "kernel_id": "32006873"}, {"ref": "akershishukla/house-pricing-eda-regression", "kernel_id": "32184539"}, {"ref": "zinanzhou/house-pricing-xgb", "kernel_id": "32987029"}, {"ref": "zymzym/python-23-excercise", "kernel_id": "32455196"}, {"ref": "wouldyoujustfocus/ab-testing-use-stats-to-rise-your-profit", "kernel_id": "32648255"}, {"ref": "wouldyoujustfocus/ladies-lean-in", "kernel_id": "32419117"}, {"ref": "akmalkuliev/house-price-regression", "kernel_id": "32461176"}, {"ref": "bhavidave/regression-revision", "kernel_id": "32142739"}, {"ref": "bhavinmoriya/statistical-testing-for-dummies", "kernel_id": "32651212"}, {"ref": "ahmedhammad01/friendly-notebook-score-0-16329", "kernel_id": "32589889"}, {"ref": "karthikvarkala/house-price-pred-dataset-eda-and-feature-engineer", "kernel_id": "32695646"}, {"ref": "redblacksoup/house-price-prediction", "kernel_id": "32937452"}, {"ref": "jungheeback/t2-4-house-prices-regression", "kernel_id": "32363956"}, {"ref": "l0c4lhost/houseprice", "kernel_id": "32469048"}, {"ref": "dheemanthbhat/house-prices-adv-reg-part-2-predictions", "kernel_id": "32712869"}, {"ref": "dheemanthbhat/house-prices-adv-reg-competition-part-1-eda", "kernel_id": "32449497"}, {"ref": "odedmi/house-prices-final-version", "kernel_id": "32572410"}, {"ref": "liuxudong1986/house-price-advanced-regression", "kernel_id": "32414010"}, {"ref": "shivamshinde123/house-prices-prediction-sklearn-pipelines", "kernel_id": "32703758"}, {"ref": "wilperea/housing-prices-ml-regression-practice-2", "kernel_id": "32568154"}, {"ref": "micheldc55/arboles-de-regresion", "kernel_id": "32000417"}, {"ref": "afrologicinsect/pca-approach-and-linear-reg-modelling", "kernel_id": "32653612"}, {"ref": "assemafanah/assem-house-price-1", "kernel_id": "32648985"}, {"ref": "ismaelhc/a-visual-exploration-of-scaling-methods", "kernel_id": "32165284"}, {"ref": "albertagzamov/house-prices-experiment", "kernel_id": "32392782"}, {"ref": "rahmadadeakbar/sklearn-linear-regression-house-price", "kernel_id": "32972499"}, {"ref": "khalidlawal/housing-price-prediction", "kernel_id": "32613664"}, {"ref": "ashiq0506/house-price-prediction-using-linear-regression", "kernel_id": "32725917"}, {"ref": "aghababataghizade/house-prices-prediction-with-xgboost", "kernel_id": "32866791"}, {"ref": "aadarshbhalerao/housing-price-gridsearchcv", "kernel_id": "32125074"}, {"ref": "dajianer/housepricehomework", "kernel_id": "32846956"}, {"ref": "priyankakumari401/house-price-prediction-with-pycaret", "kernel_id": "32228950"}, {"ref": "fatmanurvarlik/house-prices-regression-techniques", "kernel_id": "32770523"}, {"ref": "shuvojitdas/house-price-some-of-regression-models", "kernel_id": "32135947"}, {"ref": "nuelajim/house-prices-advanced-regression", "kernel_id": "32632208"}, {"ref": "turalquluzade/house-price-prediction", "kernel_id": "32435036"}, {"ref": "jayasreekandregula/solution-of-house-prediction-in-gradient-boost", "kernel_id": "32146661"}, {"ref": "nikil42516/multi-linear-regression-and-xgboost", "kernel_id": "32203177"}, {"ref": "pablofernndezasensio/house-prices", "kernel_id": "32008782"}, {"ref": "essunn/ai-04-eunsun", "kernel_id": "32584403"}, {"ref": "hatokgl/statics-regression-japanese", "kernel_id": "32157449"}, {"ref": "eslamshaban/housepriceprediction", "kernel_id": "32847795"}, {"ref": "michhandreaa/csintsy-housing-challenge-project-group-6", "kernel_id": "32911690"}, {"ref": "igoon787/house-prices-prediction", "kernel_id": "32032850"}, {"ref": "sujaykapadnis/housing-prices-advanced-regression", "kernel_id": "32380560"}, {"ref": "caitlynnguyen/phys-247-final", "kernel_id": "32927481"}, {"ref": "jhosepbailon/house-price-predictor", "kernel_id": "32707112"}, {"ref": "saronibhattacharya/notebookd3ff0341bc", "kernel_id": "32219550"}, {"ref": "zhinanli/house-price-prediction-data-science-project", "kernel_id": "32379527"}, {"ref": "atillazkaymak/house-price-prediction-with-pycaret", "kernel_id": "32177625"}, {"ref": "alexandresieg/projet-final-ml", "kernel_id": "32936233"}, {"ref": "denisshvetsov811/shvetsov-house-price", "kernel_id": "32006690"}, {"ref": "nikitadyagilev/dyagilev-lr3", "kernel_id": "32138842"}, {"ref": "antonsharandin/sharandin-lr3", "kernel_id": "32101831"}, {"ref": "bainiao/missing-values-on-heatmap", "kernel_id": "32251831"}, {"ref": "ibrohimsharipov/visualizing-the-dataset-with-just-piece-of-code", "kernel_id": "32563455"}, {"ref": "arunangshukumarnandy/housing-submissio-rev-0-date-01-12-2022", "kernel_id": "32901399"}, {"ref": "elvinafd/regression-xgboost-etc-optuna-ustai-final", "kernel_id": "32596944"}, {"ref": "weiwsc/house-price-prediction-using-ridge-regression", "kernel_id": "32596008"}, {"ref": "peterjakubowski/predicting-housing-prices-in-ames-iowa", "kernel_id": "32441933"}, {"ref": "mustafaadelibrahim/house-price-prediction", "kernel_id": "32367964"}, {"ref": "saranyasudhakar/house-price-pred", "kernel_id": "32597733"}, {"ref": "larjeck/analysis-house-price-predictor", "kernel_id": "32516344"}, {"ref": "dmis0126/py-t1-4-expected-questions", "kernel_id": "32854487"}, {"ref": "parvathy142203002/house-price-prediction", "kernel_id": "32187810"}, {"ref": "dr2amr2talaat/best-score-first-code", "kernel_id": "32676124"}, {"ref": "abrorshopulatov/simple-k-fold-cross-validation-with-fastai", "kernel_id": "32858374"}, {"ref": "shilongzhuang/statistical-testing-guide-for-beginners", "kernel_id": "32617182"}, {"ref": "kristianaxelsson/getting-started", "kernel_id": "32095854"}, {"ref": "haseathk/custeringminers-houseprices", "kernel_id": "32218608"}, {"ref": "marcinrutecki/outlier-detection-methods", "kernel_id": "32321674"}, {"ref": "deangarcia/cs4650-capstone-project", "kernel_id": "32922278"}, {"ref": "jayeshsonawane/housing-price-prediction", "kernel_id": "32258194"}, {"ref": "harbaldeepsidhu/house-price-prediction-using-xgboost", "kernel_id": "32001896"}, {"ref": "javohirtoshqorgonov/house-price-prediction-eda-analysis", "kernel_id": "32251001"}, {"ref": "anaalucca/house-prices-decision-tree-regressor", "kernel_id": "32474779"}, {"ref": "ahmedashrafahmed/house-price", "kernel_id": "32231413"}, {"ref": "nhuerp00/house-prices-competition", "kernel_id": "32123216"}, {"ref": "nsachdeva/housing-prices-top-10-practice", "kernel_id": "32213925"}, {"ref": "haramnaseer/housepriceprediction", "kernel_id": "32100929"}, {"ref": "amaanfaheem/house-prices-advanced-regression-techniques", "kernel_id": "32675368"}, {"ref": "nechbamohammed/stacked-regressions-top-11-on-leaderboard", "kernel_id": "32429081"}, {"ref": "rajeshdube/notebook840077fb69", "kernel_id": "32365156"}, {"ref": "arunmunagala/trying-rf-with-house", "kernel_id": "32426043"}, {"ref": "alrizkipasca99/linear-regression-from-scratch", "kernel_id": "32765854"}, {"ref": "riyapatel1697/house-prices-gridsearchcv-r2-92", "kernel_id": "32282367"}, {"ref": "pongthepkulchatchai/learning-material-1", "kernel_id": "32824589"}, {"ref": "akhiljethwa/house-price-advanced-regression", "kernel_id": "32292194"}, {"ref": "emlonghosh/emlon-notebook", "kernel_id": "32755657"}, {"ref": "brynnnnn/notebookkagglehouseprice", "kernel_id": "32965704"}, {"ref": "pumpkin18/encoding-for-beginners", "kernel_id": "32723323"}, {"ref": "prem113/house-price-prediction-advanced", "kernel_id": "32223439"}, {"ref": "romanparshonok/house-prices-prediction-with-lr-dtr-rfr-xgb-mod", "kernel_id": "32226825"}, {"ref": "rituladwa/notebooke990e6f824", "kernel_id": "32587869"}, {"ref": "farisnajid/notebook-house-prices", "kernel_id": "32753101"}, {"ref": "baturalpsert/house-price-with-light-gbm", "kernel_id": "32743965"}, {"ref": "tsftoby/dmdm-house-price", "kernel_id": "32223183"}, {"ref": "tarizatique/house-price-prediction", "kernel_id": "32870017"}, {"ref": "ivanbyone/very-simple-and-long-decision", "kernel_id": "32998607"}, {"ref": "lishiyunakane/house-prices-prediction", "kernel_id": "32992782"}, {"ref": "jekang/ai-hw-4", "kernel_id": "32818172"}, {"ref": "chomunjeong/final-house-prices-prediction-mmj", "kernel_id": "32790639"}, {"ref": "muliasujiastuti/predicting-house-price", "kernel_id": "32162220"}, {"ref": "pengyizhou/house-start1", "kernel_id": "32799594"}, {"ref": "jihyunjeong123/final-project", "kernel_id": "32684902"}, {"ref": "madeehaashfaque/assign-madeeha-04-houseprices", "kernel_id": "32778521"}, {"ref": "sukikhyun/house-prices", "kernel_id": "32928320"}, {"ref": "ofjeong/house-prices-kyj", "kernel_id": "32999670"}, {"ref": "peterilberg/detailed-full-solution-step-by-step-to-82b00e", "kernel_id": "32128722"}, {"ref": "hzahidtufail/housepriceprediction-regression-assignment-4", "kernel_id": "32737939"}, {"ref": "bhagyachengta/house-price-bmc", "kernel_id": "32902226"}, {"ref": "saumyadeepm/analysis-house-price-predictor", "kernel_id": "32173345"}, {"ref": "akshatarpatil/house-prices-akshata", "kernel_id": "32346000"}, {"ref": "darshikamgowda/housing-price", "kernel_id": "32864203"}, {"ref": "hoonqihang/fork-of-notebook556ffca015", "kernel_id": "32870897"}, {"ref": "ashbabkhan/predicting-house-prices-using-linear-regression", "kernel_id": "32131420"}, {"ref": "bencheickkanazoe/ben-cheick-house-prices-ml", "kernel_id": "32936519"}, {"ref": "richardleeprograms/11-4-22-first-competition-house-prices", "kernel_id": "32010569"}, {"ref": "dejontrammell/fork-of-linearregressionproj", "kernel_id": "32710233"}, {"ref": "pratikspatil2244/house-prices-advanced-regression-techniques", "kernel_id": "32139996"}, {"ref": "aniruddhakawarase/housing-price-gridsearchcv", "kernel_id": "32347375"}, {"ref": "sergeiplatinov/notebookprojecthowseprice", "kernel_id": "32867743"}, {"ref": "bjoved00/house-prices-competition-beatriz", "kernel_id": "32127277"}, {"ref": "pradjagtap/housing", "kernel_id": "32052640"}, {"ref": "cesargonzalezarias/primerapruebacasas", "kernel_id": "32665233"}, {"ref": "mariaalejandra01/decision-tree-random-forest-gradient-boosted-tree", "kernel_id": "32014691"}, {"ref": "ozzzu277/notebook393d01ac80", "kernel_id": "32967425"}, {"ref": "licgsg/house-pring-lasso-in-r", "kernel_id": "32415245"}, {"ref": "abdelrahmanaeissa/a-eissa", "kernel_id": "32622217"}, {"ref": "saranic/house-prices-complete-eda-and-lgbm-regressor", "kernel_id": "32373342"}, {"ref": "krviswanathan/house-prices-data-analysis-and-predictions", "kernel_id": "32692511"}, {"ref": "minasamy000/price-prediction", "kernel_id": "32811284"}, {"ref": "mehradghassemi78/mmai-hw-2", "kernel_id": "32546141"}, {"ref": "esunday963/house-price-prediction-random-forest-regression", "kernel_id": "32299103"}, {"ref": "kelkeylws/20221108", "kernel_id": "32034976"}, {"ref": "leungmingchak/enjoy1", "kernel_id": "32105065"}, {"ref": "hatimchifa/hppad", "kernel_id": "32858039"}, {"ref": "nogablan/projet-ml", "kernel_id": "32935997"}, {"ref": "jonathanvos7797/advanced-regression-final", "kernel_id": "32581804"}, {"ref": "alawdisoft/advance-house-pricing", "kernel_id": "32955212"}, {"ref": "misbahulanam19/predict-house-price", "kernel_id": "32754399"}, {"ref": "ctwilliams/notebook2011daa511", "kernel_id": "32926972"}, {"ref": "amrshallal/amr-v2", "kernel_id": "32980382"}, {"ref": "michalgasiorowski/pycaret-catboost-no-pca-remove-outliers", "kernel_id": "33790167"}, {"ref": "michalgasiorowski/pycaret-blender-et-gbr-catboost-pca", "kernel_id": "33743093"}, {"ref": "zoupet/house-price-pytorch-tabnet-2", "kernel_id": "33972633"}, {"ref": "joeleyamu/housingpricing-regression-optuna", "kernel_id": "33658749"}, {"ref": "joeleyamu/housingpricingoptuna", "kernel_id": "33600839"}, {"ref": "datadeer/lazypredict", "kernel_id": "33704874"}, {"ref": "electro/eda-feature-engineering-skf-xgboost", "kernel_id": "33561314"}, {"ref": "kopfstein/house-price-prediction-using-linear-regression", "kernel_id": "33311868"}, {"ref": "drnyuvaraj/house-price-prediction-with-advance-regression", "kernel_id": "33247214"}, {"ref": "theblitzer/house-price-prediction", "kernel_id": "33336175"}, {"ref": "sownikturaga96/housing-prices-prediction-linear-model", "kernel_id": "33709004"}, {"ref": "sownikturaga96/housing-prices-dataset-modelling", "kernel_id": "33733881"}, {"ref": "dellalkhaled/non-linear-regression-approach", "kernel_id": "33584488"}, {"ref": "dellalkhaled/fisher-correlation-for-qualitative-variables", "kernel_id": "33713262"}, {"ref": "fafinozzi/house-prices-lazypredict", "kernel_id": "33155129"}, {"ref": "prem00/houseprice-using-ml-random-forest-regressor", "kernel_id": "33464413"}, {"ref": "isaacdbc/house-predictions-advanced-regression-tuto", "kernel_id": "33459192"}, {"ref": "simonpark333/ai01-hw5-hp-khpark-122922-submit", "kernel_id": "33652528"}, {"ref": "sophiaoftheoceans/eda-cleaning", "kernel_id": "33010702"}, {"ref": "catadanna/gema-dataanalysis-univariate", "kernel_id": "33815420"}, {"ref": "loki97/house-price-prediction-using-linear-regression", "kernel_id": "33486862"}, {"ref": "vicsonsam/housing-prices-eda", "kernel_id": "33254906"}, {"ref": "erenakbulut/super-simple-eda-and-feature-engineering", "kernel_id": "33100054"}, {"ref": "jayosprey/house-pricing-jkim", "kernel_id": "33709470"}, {"ref": "lavagod/house-prices-minimum-code-0-15755", "kernel_id": "33334176"}, {"ref": "lavagod/house-prices-pipeline-code-0-14893", "kernel_id": "33825880"}, {"ref": "zacksshen/kaggle-house-prices-eda", "kernel_id": "33832393"}, {"ref": "flaviusbiras/house-prices-prediction-xgb-bayesian-tuning", "kernel_id": "33621801"}, {"ref": "andres6garzon/house-prices-challenge-solution-using-stacking", "kernel_id": "33282936"}, {"ref": "ebrahimuthman/predicting-house-prices-using-advanced-regression", "kernel_id": "33664418"}, {"ref": "hizkiamanuel/hw04-regression", "kernel_id": "33221063"}, {"ref": "hizkiamanuel/hw05-optimized-regression", "kernel_id": "33656102"}, {"ref": "khaingthandarhninn/final-project", "kernel_id": "33624888"}, {"ref": "khaingthandarhninn/assignment4-ai", "kernel_id": "33277519"}, {"ref": "satyanarayanam/house-price-predictions-explained", "kernel_id": "33573116"}, {"ref": "shehab162519/assignment-3", "kernel_id": "33221474"}, {"ref": "tushare/housing-prices-advanced-regression", "kernel_id": "33367698"}, {"ref": "tomonorisasaki/simple-eda-and-the-prediction-with-xgboost", "kernel_id": "33102640"}, {"ref": "igordedov/house-price-fastly-score-0-13602-xgb-without-eda", "kernel_id": "33935596"}, {"ref": "igordedov/house-price-fastly-score-0-14504-without-eda", "kernel_id": "33906233"}, {"ref": "tracyporter/ameshouse-prices-remove-low-freq-rows", "kernel_id": "33571835"}, {"ref": "aminezaamoun/ames-housing-multiple-regression-amine-zaamoun", "kernel_id": "33992015"}, {"ref": "lyasdemir/house-prices-predictions", "kernel_id": "33906023"}, {"ref": "haron54/8305-chertkov-house-prices", "kernel_id": "33219829"}, {"ref": "jordanfranks/a-beginner-s-guide-to-ml-with-house-prices", "kernel_id": "33073510"}, {"ref": "xenophonwang/feature-engineering-for-house-prices-1d5980", "kernel_id": "33759092"}, {"ref": "marioandrs/house-prices-pred-2023-1", "kernel_id": "33553625"}, {"ref": "djwerterrichmond/feature-engineering-for-house-prices", "kernel_id": "33617079"}, {"ref": "abhinandanroy/house-prices-regression-bagging-ensemble", "kernel_id": "33060686"}, {"ref": "shriyutha/house-price-eda-advanced-regression-techniques", "kernel_id": "33330321"}, {"ref": "natchimuthun/eda-quick-datacleanadvanced-regression-house-price", "kernel_id": "33570845"}, {"ref": "khoirunna/house-price-prediction-using-linear-regression", "kernel_id": "33409362"}, {"ref": "abdouabarchi/house-prices-advanced-regression-techniques", "kernel_id": "33489470"}, {"ref": "hafedhhichri/house-price", "kernel_id": "33471529"}, {"ref": "hakanfe/house-price-regression-ensemble-methods", "kernel_id": "33379432"}, {"ref": "emineyetm/house-prices-advanced-regression-techniques", "kernel_id": "33286817"}, {"ref": "mohitverma9599/house-price-pred", "kernel_id": "33563230"}, {"ref": "ramiwafik/predicting-the-housing-prices", "kernel_id": "33687186"}, {"ref": "vladislavminaychev/group-1", "kernel_id": "33030083"}, {"ref": "omrttn/house-price-prediction-with-lightgbm", "kernel_id": "33547248"}, {"ref": "hamza05/competition-s-data-analyzation", "kernel_id": "33764422"}, {"ref": "amrmuhammad/general-linear-model-glm-anova-t-test", "kernel_id": "33744531"}, {"ref": "noir3747/lightgbm-v1", "kernel_id": "33608866"}, {"ref": "olgakimkist/assignment-4-edit", "kernel_id": "33594839"}, {"ref": "olgakimkist/finalproject-regression", "kernel_id": "33723628"}, {"ref": "olgakimkist/final-regression-edit", "kernel_id": "33772078"}, {"ref": "sushantpatil04/2-houseprices-detailed-regression-guide", "kernel_id": "33470007"}, {"ref": "sushantpatil04/1-houseprices-comprehensivedataexploration", "kernel_id": "33469934"}, {"ref": "sushantpatil04/5-houseprices-stackedregressions", "kernel_id": "33471503"}, {"ref": "sushantpatil04/3-houseprices-regressiononamesdataset", "kernel_id": "33470837"}, {"ref": "sushantpatil04/4-houseprices-regularizedlinearmodelonamesdataset", "kernel_id": "33471147"}, {"ref": "woprime/housing-price-complete-pipeline", "kernel_id": "33110573"}, {"ref": "johnsony/lasso-pca-to-select-and-lm-to-predict", "kernel_id": "33027955"}, {"ref": "amalsalilan/maximizing-your-accuracy-in-house-price-prediction", "kernel_id": "33578199"}, {"ref": "idooriane/ex2-solution", "kernel_id": "33512153"}, {"ref": "msuhaib/housing-price-prediction", "kernel_id": "33434626"}, {"ref": "kennytanner/eda-w-pipeline-house-prices-please-review", "kernel_id": "33575084"}, {"ref": "hainescity/house-prices-autoviz-catboost", "kernel_id": "33495022"}, {"ref": "haolia/house-price-aul", "kernel_id": "33136773"}, {"ref": "akhilchilumuru/house-price-prediction-starter-competetion", "kernel_id": "33222604"}, {"ref": "nadzmiagthomas/pytorch-regression", "kernel_id": "33364298"}, {"ref": "essunn/final-ai-house-price-yun", "kernel_id": "33634839"}, {"ref": "vladimirbeliayev/house-prices-top-5-solution", "kernel_id": "33222225"}, {"ref": "danilcherinov/hp-randomforest", "kernel_id": "33171459"}, {"ref": "jason4511111/notebook62d12de67e", "kernel_id": "33189947"}, {"ref": "fauzanmohammed/house-price", "kernel_id": "33623103"}, {"ref": "raifgaripov/garipov-elastic-8305", "kernel_id": "33173816"}, {"ref": "serdargundogdu/house-prices-advanced-regression-techniques", "kernel_id": "33420390"}, {"ref": "atinhadi/housing-estimator-by-randomforest-elasticnet", "kernel_id": "33685276"}, {"ref": "yosebnam/notebook6cd615961f", "kernel_id": "33237701"}, {"ref": "metinerdebil/prediction-house-prices-with-polynomial-regression", "kernel_id": "33220464"}, {"ref": "rodrigozambon/cheatsheet-70-ggplot-charts", "kernel_id": "33385581"}, {"ref": "nasiyeyldrm/house-price", "kernel_id": "33418166"}, {"ref": "meeratif/neural-networks-for-regression", "kernel_id": "33720415"}, {"ref": "prasadposture121/house-prices-prediction", "kernel_id": "33572314"}, {"ref": "nadanassershalaby/house-price-prediction", "kernel_id": "33125621"}, {"ref": "vnglvn/house-prices-prediction-pyspark-guide-ecc7cd", "kernel_id": "33959021"}, {"ref": "abdulaminafridi/house-price-pred", "kernel_id": "33446672"}, {"ref": "pezhmanamini/house-prices-advregtech-2variable", "kernel_id": "33034172"}, {"ref": "pezhmanamini/feature-eng-house-prices-advance", "kernel_id": "33646787"}, {"ref": "famapa/light-gradient-boosting", "kernel_id": "33628547"}, {"ref": "famapa/house-prices-predictions-ridge-regression", "kernel_id": "33353899"}, {"ref": "ibrohimsharipov/tiktok-users", "kernel_id": "33760193"}, {"ref": "ludwigsaux/top-20-eda-gradient-boosting", "kernel_id": "33004423"}, {"ref": "ludwigsaux/top-30-eda-deep-learning-keras", "kernel_id": "33717306"}, {"ref": "yanapat/house-prices-advanced-regression-techniques", "kernel_id": "33108906"}, {"ref": "khashayarrahimi94/gold-price-forecasting-using-lstm-cnn-gru", "kernel_id": "33520429"}, {"ref": "khashayarrahimi94/automated-problem-solver-house-price", "kernel_id": "33352387"}, {"ref": "elvinafd/regression-preprocessing-xgboost-optuna-ustai4", "kernel_id": "33255816"}, {"ref": "hironakatani/stacking-ver8", "kernel_id": "33247767"}, {"ref": "khanistha/kkhanistha-6420422019", "kernel_id": "33851694"}, {"ref": "parvmodi/handling-missing-values-complete-case-analysis", "kernel_id": "33157483"}, {"ref": "parvmodi/handle-missing-data-univariate-imputer", "kernel_id": "33183038"}, {"ref": "parvmodi/handling-missing-categorical-values", "kernel_id": "33253894"}, {"ref": "junqiyan/house-pricing-kevin-yan", "kernel_id": "33473767"}, {"ref": "zvr842/prediction-prices-lgbmodel", "kernel_id": "33229392"}, {"ref": "serkanp/house-prices-advanced-regression-techniques", "kernel_id": "33455039"}, {"ref": "sanandachowdhury/house-price", "kernel_id": "33251382"}, {"ref": "annimoisala/predicting-house-prices", "kernel_id": "33905854"}, {"ref": "smailaar/house-prices-competitions", "kernel_id": "33926571"}, {"ref": "ulrikthygepedersen/house-prices-notebook", "kernel_id": "33960952"}, {"ref": "georgepanagiotou/house-prices1", "kernel_id": "33765094"}, {"ref": "askasa/newapproach", "kernel_id": "33864989"}, {"ref": "jameslee90/notebookedc1c25f9d", "kernel_id": "33536805"}, {"ref": "pinisharaby/house-prices-prediction", "kernel_id": "33288597"}, {"ref": "reeljojo/house-price-prediction-python", "kernel_id": "33683932"}, {"ref": "abidanas/pipelines-and-xgbregressor", "kernel_id": "33598932"}, {"ref": "minbro/ai-fianl-house-prices-kmh", "kernel_id": "33662588"}, {"ref": "minbro/ai04-house-prices-kmh", "kernel_id": "33216055"}, {"ref": "deanav/house-prices", "kernel_id": "33864634"}, {"ref": "pabangiri/feature-selection-using-mutual-information", "kernel_id": "33657179"}, {"ref": "sandhyasolanki/house-price-prediction", "kernel_id": "33561057"}, {"ref": "justyu2001/house-prices-advanced-regression-techniques", "kernel_id": "33392018"}, {"ref": "clarkelee/house-price-prediction-competion", "kernel_id": "33276251"}, {"ref": "rcbhatt/house-price-prediction-regression-using-pytorch", "kernel_id": "33247790"}, {"ref": "shafaitahir/dm-complex-computing", "kernel_id": "33674195"}, {"ref": "yamadan96/pg-final", "kernel_id": "33583115"}, {"ref": "murugesann/ames-housingprices-deep-learning-model-top-4", "kernel_id": "33976731"}, {"ref": "marcinrutecki/multicollinearity-detection-and-remedies", "kernel_id": "33059688"}, {"ref": "guilhermecanfield/house-prices", "kernel_id": "33884771"}, {"ref": "zethindramekala/advance-housepriceprediction", "kernel_id": "33735423"}, {"ref": "dmitriysosnovskiy/house-prices", "kernel_id": "33679435"}, {"ref": "saneeshck/housing-prices-data-distribution-and-statistics", "kernel_id": "33855592"}, {"ref": "salsabillaheba/house-prediction-ai-assignment-4", "kernel_id": "33277024"}, {"ref": "salsabillaheba/final-project-house-prediction-ai-assignment-4", "kernel_id": "33684610"}, {"ref": "imnandini/house-prices-advanced-regression", "kernel_id": "33139430"}, {"ref": "tusharjain278/regression-model-stacking-model-yeo-johonson", "kernel_id": "33821630"}, {"ref": "senapatirajesh/eda-analysis", "kernel_id": "33837978"}, {"ref": "senapatirajesh/eda-data-insights", "kernel_id": "33849211"}, {"ref": "senapatirajesh/predicting-the-prices", "kernel_id": "33861524"}, {"ref": "youcefbel/housing-prices-competition-ml-top-6", "kernel_id": "33739594"}, {"ref": "shreyasrinivasan30/house-price-prediction-random-forest", "kernel_id": "33798836"}, {"ref": "abraham8614/house-price-prediction-with-mlp", "kernel_id": "33726738"}, {"ref": "rajathraghavendra/house-price-prediction", "kernel_id": "33231281"}, {"ref": "nishantborkar/linear-regression-99-accuracy", "kernel_id": "33614625"}, {"ref": "nishantborkar/boosting-pipeline", "kernel_id": "33868026"}, {"ref": "gevorgakopyan/xgboostgressor", "kernel_id": "33719643"}, {"ref": "alrizkipasca99/house-price-eda", "kernel_id": "33458034"}, {"ref": "iabahmad19/house-price-prediction-top-6", "kernel_id": "33014323"}, {"ref": "awoukeng/notebook6126748ee0", "kernel_id": "33144030"}, {"ref": "mershadjer/house-price-eda-feature-engineering-and-selection", "kernel_id": "33380460"}, {"ref": "belati/house-prices-utilizing-different-techniques", "kernel_id": "33509402"}, {"ref": "futurethink/hpprediction", "kernel_id": "33258219"}, {"ref": "gaoneng/house-price-competition", "kernel_id": "33588478"}, {"ref": "gaoneng/g-n-with-house-prices", "kernel_id": "33586956"}, {"ref": "zhanglfeng/house-pricezlf", "kernel_id": "33457295"}, {"ref": "simaiaomi/exercise-model-validation-experiments", "kernel_id": "33104736"}, {"ref": "swapniljanorkar/xgboost-with-gridsearchcv", "kernel_id": "33668026"}, {"ref": "rodsonzepekinio/nettoyage-visualisation-et-mod-le", "kernel_id": "33147052"}, {"ref": "rushikeshsawarkar/0-12018-house-prices-pipeline-ensemble-models", "kernel_id": "33427934"}, {"ref": "illiatikhonov/faiiregression", "kernel_id": "33666485"}, {"ref": "illiatikhonov/itaihw04", "kernel_id": "33299889"}, {"ref": "sangwonparkoptics/house-price-final-psw", "kernel_id": "33735009"}, {"ref": "sangwonparkoptics/psw-house-prices", "kernel_id": "33298053"}, {"ref": "daedongkim/ai-assignment04", "kernel_id": "33276258"}, {"ref": "daedongkim/2022-2-ust-ai-class-final-projuect-houseprice", "kernel_id": "33654875"}, {"ref": "daedongkim/2022-2-ust-ai-class-final-project-spaceship", "kernel_id": "33625965"}, {"ref": "jekang/ai-hw-5-final-project-house-price-jieun-kang", "kernel_id": "33599590"}, {"ref": "junseokim80/hw-4-junseo-kim", "kernel_id": "33044474"}, {"ref": "kangjueun/houseprice-final", "kernel_id": "33090569"}, {"ref": "kangjueun/house-price-competition", "kernel_id": "33625470"}, {"ref": "choijaehyeong/notebookc5fd98d560", "kernel_id": "33354037"}, {"ref": "daahee/221231-ust-ai01-final-houseprices", "kernel_id": "33655794"}, {"ref": "daahee/221207-ust-ai01-assn04-houceprices", "kernel_id": "33079940"}, {"ref": "tewuhibositotaw/house-price-prediction-regeression", "kernel_id": "33179115"}, {"ref": "minji0612/final-houseprice-mj", "kernel_id": "33726436"}, {"ref": "minji0612/houseprice-prediction-mj", "kernel_id": "33091572"}, {"ref": "atefeh17/house-prices-preprocessing-linear-reg-atefeh", "kernel_id": "33169113"}, {"ref": "atefeh17/house-price-with-optuna-atefeh", "kernel_id": "33294041"}, {"ref": "atefeh17/house-prices-final-project-atefeh", "kernel_id": "33372777"}, {"ref": "rlawjddls/housepriceprediction-221214", "kernel_id": "33286702"}, {"ref": "rlawjddls/final-project-ust-house-price", "kernel_id": "33733771"}, {"ref": "batoolr/assignment-4-hypertunning", "kernel_id": "33659089"}, {"ref": "batoolr/houseprices-finalproject", "kernel_id": "33558598"}, {"ref": "madeehaashfaque/houseprice-xgbregressor", "kernel_id": "33610331"}, {"ref": "madeehaashfaque/houseprice-hypertun-randomforest", "kernel_id": "33636715"}, {"ref": "madeehaashfaque/houseprice-gradientboosting", "kernel_id": "33652538"}, {"ref": "madeehaashfaque/final-assignment-houseprice", "kernel_id": "33768394"}, {"ref": "klodha/final-project-part-2-reshared", "kernel_id": "33684436"}, {"ref": "klodha/assignment-04", "kernel_id": "33160828"}, {"ref": "parkgh97/project4", "kernel_id": "33020849"}, {"ref": "parkgh97/final-project-house-price", "kernel_id": "33682362"}, {"ref": "akritiupadhyayks/housepriceeda-random-forest-classifier", "kernel_id": "33476028"}, {"ref": "ofjeong/final-test-house-price", "kernel_id": "33710098"}, {"ref": "mahalakshmi2003/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "33921000"}, {"ref": "rftlim/houseprice-beginner-tree-ensemble-neural-networks", "kernel_id": "33393173"}, {"ref": "rhaberkorn/notebook79eed1c54f", "kernel_id": "33079267"}, {"ref": "glebivakin/house-prices", "kernel_id": "33176656"}, {"ref": "vaffa201/notebook0340c6ddbf", "kernel_id": "33172527"}, {"ref": "kmdev1/housep", "kernel_id": "33179791"}, {"ref": "vladkontsevykh/elasticnetsolution", "kernel_id": "33177475"}, {"ref": "nikolaypopurey/nikolaypopurey-lab1", "kernel_id": "33274612"}, {"ref": "ivanmoldovanu/notebook9a9a6e868f", "kernel_id": "33239765"}, {"ref": "ivanmoldovanu/notebookc1074d8127", "kernel_id": "33241373"}, {"ref": "varvaroliver/savintseva-8305-house-prices", "kernel_id": "33238531"}, {"ref": "feeko256/notebook414239aafb", "kernel_id": "33327652"}, {"ref": "hzahidtufail/housepriceprediction-regression-final", "kernel_id": "33607164"}, {"ref": "anjalimkiresur/house-prices", "kernel_id": "33048452"}, {"ref": "ifrainr/notebook-1-hp", "kernel_id": "33050571"}, {"ref": "niswarth/house-price", "kernel_id": "33141463"}, {"ref": "kyeongmanmoon/house-prices-python-rf-rmse-31168", "kernel_id": "33444445"}, {"ref": "sergean/8305-lab3-asa", "kernel_id": "33094288"}, {"ref": "nehal47hassan/baggingregressor-score-0-15361", "kernel_id": "33383858"}, {"ref": "takec0ver/notebook154d5e96de", "kernel_id": "33327338"}, {"ref": "a1exfench/notebook3471c6eefd", "kernel_id": "33327528"}, {"ref": "bencheickkanazoe/ben-cheick-part-2-house-price-pytorch-tabnet-2", "kernel_id": "33868846"}, {"ref": "bencheickkanazoe/ben-cheick-projet-house-deep-learning", "kernel_id": "33316866"}, {"ref": "shubhamsingh57/house-prices-data-analysis", "kernel_id": "33743189"}, {"ref": "kerimcanarslan/home-price-predict-by-xgb", "kernel_id": "33520988"}, {"ref": "dezhnev8305/hp-dezhnev-8305", "kernel_id": "33240821"}, {"ref": "mohammedsaqer/housepricespredict", "kernel_id": "33204234"}, {"ref": "reginaasylguzina/house-pricesss", "kernel_id": "33060701"}, {"ref": "cesargonzalezarias/notebook76f0b3a743", "kernel_id": "33038316"}, {"ref": "artemiivoilokov/domishki", "kernel_id": "33471137"}, {"ref": "umesalma/notebook746402e60f", "kernel_id": "33155293"}, {"ref": "umesalma/house-prediction-gradientboosting", "kernel_id": "33201960"}, {"ref": "yanxc1123/notebook9e638871d9", "kernel_id": "33332485"}, {"ref": "nikita8305/notebook24cf3c2d8f", "kernel_id": "33238900"}, {"ref": "yantik/notebook996165c541", "kernel_id": "33241342"}, {"ref": "abdelrahmanaeissa/a-eissa2", "kernel_id": "33307894"}, {"ref": "sarurururu/notebook17efb1ee9c", "kernel_id": "33089978"}, {"ref": "alvaradoglza/competition-houseprices-2", "kernel_id": "33503052"}, {"ref": "axelleterouin/nb-c4", "kernel_id": "33896833"}, {"ref": "mihasoarajoelisolo/nb-c4", "kernel_id": "33896858"}, {"ref": "sydneewilliams/housingpredictionmlassign", "kernel_id": "33140223"}, {"ref": "sundarikonar/advanced-house-price-prediction", "kernel_id": "33798201"}, {"ref": "aydarmaytaliev/notebook742d089375", "kernel_id": "33642660"}, {"ref": "sunnyfall/house-prices", "kernel_id": "33552284"}, {"ref": "aymanebensalah/bensalah-91-accuracy", "kernel_id": "33728179"}, {"ref": "barborakudlov/houseprices-gradboostregr-scoretrain-test-0-9-0-8", "kernel_id": "33022270"}, {"ref": "amrmohamed319/housing-price-with-ames-data-new-insights-top-1", "kernel_id": "33100494"}, {"ref": "cwhobs/house-price-advanced-regression", "kernel_id": "33586812"}, {"ref": "muskem/hp-data-preprocessing-feature-selection", "kernel_id": "33582772"}, {"ref": "vitaliyshpak/house-prices-xgb-score-0-129", "kernel_id": "33426348"}, {"ref": "snigdhkarki/linear-metamodel-randomforest-xgbregressor-nn", "kernel_id": "33536346"}, {"ref": "ankit1711/fork-of-fork-of-housing-price-regression-data-pred", "kernel_id": "33478099"}, {"ref": "mervesenakeskin/house-price-prediction-model", "kernel_id": "33470764"}, {"ref": "vladyslavischenkoisr/hw2-vladyslav-ishchenko-342388485", "kernel_id": "33568567"}, {"ref": "juanmad/house-price-predictions", "kernel_id": "33157795"}, {"ref": "eishkaran/house-prices-advanced-regression-techniques-comp", "kernel_id": "33791753"}, {"ref": "eishkaran/house-price", "kernel_id": "33685728"}, {"ref": "shubhamc003/house-prices-prediction-model", "kernel_id": "33101488"}, {"ref": "aviramshabtay/house-market-predictions", "kernel_id": "33972115"}, {"ref": "yetendriyalamani/submission-csv", "kernel_id": "33673767"}, {"ref": "yamarieli/quantitative-ordinal-categorical-houses-prediction", "kernel_id": "33571890"}, {"ref": "amrshallal/assignment-2-3", "kernel_id": "33185731"}, {"ref": "sagarlokesh/house-price-prediction-score-0-90", "kernel_id": "33254892"}, {"ref": "sagarlokesh/eda-on-house-price-dataset", "kernel_id": "33390462"}, {"ref": "alessiofranchi/notebook-first-kaggle-competition", "kernel_id": "33057856"}, {"ref": "alessiofranchi/simple-regression-house", "kernel_id": "33538615"}, {"ref": "darsanak/price-of-houses-prediction", "kernel_id": "33083630"}, {"ref": "liuzaizhu/house-price-prediction", "kernel_id": "33124195"}, {"ref": "osgar97/houseprices-very-basic-solution", "kernel_id": "33539854"}, {"ref": "lxllynnnn/house-prices-prediction", "kernel_id": "33156849"}, {"ref": "liran1/assignment-2", "kernel_id": "33697521"}, {"ref": "viditjain9/house-predictions", "kernel_id": "33553694"}, {"ref": "mecsico92/house-price-competition", "kernel_id": "33946501"}, {"ref": "gookgui/house-price-id-194", "kernel_id": "33986434"}, {"ref": "nishadpasricha1/housing-regression", "kernel_id": "33274544"}, {"ref": "dettaup/house-price-prediction", "kernel_id": "33514357"}, {"ref": "camilonicolas/modulo-8-camilo-negrete", "kernel_id": "33438860"}, {"ref": "garythisside/notebook88fe7b6fac", "kernel_id": "33459428"}, {"ref": "mohan311/house-prediction-final", "kernel_id": "33601136"}, {"ref": "sylee0802/ineeji-seungyonglee", "kernel_id": "33446930"}, {"ref": "mirojasm/notebooke40bd5e68c", "kernel_id": "33527902"}, {"ref": "hayouni/notebookf719c070de", "kernel_id": "33728872"}, {"ref": "kaupendraabshnan/house-price", "kernel_id": "33879597"}, {"ref": "enriqueavilam/house-prices-randomforest", "kernel_id": "33882962"}, {"ref": "manuellabbe/house-prices-xgboost-and-fine-tuning-0-1276", "kernel_id": "33854781"}, {"ref": "nikky91/house-price-predictions", "kernel_id": "33998396"}, {"ref": "datarata/top-5-feature-engineering-and-model-stacking", "kernel_id": "34308685"}, {"ref": "sorkun/house-prices-simple-workflow-lb-0-12426", "kernel_id": "34441334"}, {"ref": "sorkun/house-prices-feature-engineering-lb-0-11775", "kernel_id": "34445578"}, {"ref": "at3191/price-prediction", "kernel_id": "34541417"}, {"ref": "dosarthur/dq-checker", "kernel_id": "34615348"}, {"ref": "mahyarpoorjafary/house-price-prediction", "kernel_id": "34017876"}, {"ref": "vakadanaveen/practical-introduction-to-10-regression-algorithm", "kernel_id": "34801138"}, {"ref": "mohammedhany/house-price-advance-regression-techniques", "kernel_id": "34822494"}, {"ref": "juhotuho10/house-prices-prediction", "kernel_id": "34847985"}, {"ref": "rohitgadhwar/house-price-prediction", "kernel_id": "34196290"}, {"ref": "sunethjayawardana/house-price-prediction-xgboost", "kernel_id": "34128691"}, {"ref": "khushboos/house-prices", "kernel_id": "34287064"}, {"ref": "cleanroboto/xgboost-regression", "kernel_id": "34955222"}, {"ref": "egeerkmen/catboost-and-xgb-with-detailed-eda", "kernel_id": "34382499"}, {"ref": "dongkeunbak/pyspark-house-price-eda-predict-kor", "kernel_id": "34825343"}, {"ref": "altafk/house-price-pridiction", "kernel_id": "34798591"}, {"ref": "edouardlabriffe/deep-eda-house-price-analysis-beginners", "kernel_id": "34683976"}, {"ref": "edouardlabriffe/house-price-gradient-boosting-regressor-beginner", "kernel_id": "34456944"}, {"ref": "satyanarayanam/eda-on-catagorical-data", "kernel_id": "34646317"}, {"ref": "ahsanulislam/deep-learning-with-pca-for-regression-analysis", "kernel_id": "34811707"}, {"ref": "sudharshanravi/house-price-data-made-interesting", "kernel_id": "34036361"}, {"ref": "tracyporter/ameshouse-prices-z-score-feature-sel", "kernel_id": "34266171"}, {"ref": "benjaminrawson/lasso-and-randomforrest-regression-experiments", "kernel_id": "34075403"}, {"ref": "garvitsingh/housing-prices", "kernel_id": "34461493"}, {"ref": "danielacaroline/house-prices", "kernel_id": "34384272"}, {"ref": "ahmedelkelany/house-priceing-prediction-0825", "kernel_id": "34301894"}, {"ref": "levvvvv/basic-eda-and-ideas", "kernel_id": "34323064"}, {"ref": "imamahmadqusyairi/house-price-prediction", "kernel_id": "34834989"}, {"ref": "bharath31/house-prices-fe", "kernel_id": "34637033"}, {"ref": "cyrillescolano/house-prices-prediction", "kernel_id": "34767578"}, {"ref": "betlbaak/house-price-prediction-lgbm-regressor", "kernel_id": "34294707"}, {"ref": "yangkenwu/stats-step-wise-feature-selection-implementation", "kernel_id": "34859887"}, {"ref": "fahaddalwai/ensemble-models-on-housing-dataset", "kernel_id": "34137865"}, {"ref": "fahaddalwai/housing-dataset-with-keras", "kernel_id": "34684685"}, {"ref": "muhammadmuaviamalik/house-prices-basic-analysis-eda-xgboost", "kernel_id": "34088705"}, {"ref": "nimahmasuud/houseprice-prediction", "kernel_id": "34133721"}, {"ref": "elenashug/housing-prices-prediction", "kernel_id": "34781639"}, {"ref": "ajay101tiwari/house-prices-advanced-regression-techniques", "kernel_id": "34354093"}, {"ref": "pranayrishith16/house-prices-advanced-regression-work-in-progress", "kernel_id": "34047457"}, {"ref": "dlsr3671/gradient-boosting-house-prices", "kernel_id": "34981091"}, {"ref": "rhythmcam/house-price-automl-flaml", "kernel_id": "34394260"}, {"ref": "hunterleo/house-prediction-regression-xgb-lgbm-catboost", "kernel_id": "34400341"}, {"ref": "pedrodiasreis/exploratory-data-analysis-eda-on-house-prices", "kernel_id": "34127594"}, {"ref": "yousefroshdy/linear-regression-ai-t-task1", "kernel_id": "34804679"}, {"ref": "blessingumoru/advancedregressiontechnique-houseprices", "kernel_id": "34046305"}, {"ref": "mradulamittal/housepriceprediction-featureengineering", "kernel_id": "34613281"}, {"ref": "vandanawm/house-price-prediction", "kernel_id": "34674684"}, {"ref": "yousefnooredin/housing-price-prediction", "kernel_id": "34679378"}, {"ref": "nhnnguynngc/house-prices-prediction", "kernel_id": "34832919"}, {"ref": "azazali/house-price-predictions-ensemble-learning", "kernel_id": "34364165"}, {"ref": "azazali/house-price-predictions-catboost", "kernel_id": "34198416"}, {"ref": "motono0223/tabular-lightgbm-regression", "kernel_id": "34321806"}, {"ref": "umanglodaya/house-prices-advanced-regression-techniques", "kernel_id": "34396887"}, {"ref": "myazidbaihaqi/normality-test-using-real-world-data", "kernel_id": "34027760"}, {"ref": "revathyta/house-price-using-random-forest", "kernel_id": "34393290"}, {"ref": "wiambekri/house-prices-wiam", "kernel_id": "34445448"}, {"ref": "lucasbarbosalucao/projeto-end-to-end-priceshouse", "kernel_id": "34634470"}, {"ref": "amarmismail/house-prices-predict", "kernel_id": "34754892"}, {"ref": "amrelsayeh/house-prediction-xgboost", "kernel_id": "34097410"}, {"ref": "osamayassen/house-pred", "kernel_id": "34396499"}, {"ref": "alexandresieg/house-price-pytorch-tabnet-2", "kernel_id": "34016969"}, {"ref": "adrienbouvais/house-pricing-with-keras", "kernel_id": "34611284"}, {"ref": "muratcakmak/regression-on-pyspark-base-model", "kernel_id": "34501034"}, {"ref": "austinchao/notebook-house-price", "kernel_id": "34675924"}, {"ref": "kavin2002/house-price-prediction", "kernel_id": "34513556"}, {"ref": "yuhaiwang/notebookd5dc9f154e", "kernel_id": "34759519"}, {"ref": "aibamayaalvarez/house-prices-eda-feature-selection-stacking", "kernel_id": "34240644"}, {"ref": "ulrikthygepedersen/feature-engineering-house-prices", "kernel_id": "34347622"}, {"ref": "ulrikthygepedersen/random-forest-regressor-model-house-prices", "kernel_id": "34383650"}, {"ref": "ulrikthygepedersen/xgboost-regressor-model-house-prices", "kernel_id": "34397366"}, {"ref": "ulrikthygepedersen/reducing-features-principal-component-analysis", "kernel_id": "34107189"}, {"ref": "ulrikthygepedersen/exploratory-data-analysis-house-prices", "kernel_id": "34262500"}, {"ref": "artificialstupiditea/house-prices", "kernel_id": "34549028"}, {"ref": "johnycooly/house-prices-advanced-regression-techniques", "kernel_id": "34269520"}, {"ref": "vidhikishorwaghela/house-prices-predictions", "kernel_id": "34520866"}, {"ref": "gorkemaksoy/house-price-pred", "kernel_id": "34063241"}, {"ref": "hanpat99/1-eda-house-price-prediction", "kernel_id": "34792033"}, {"ref": "fatihsen20/house-price-eda-prediction", "kernel_id": "34338855"}, {"ref": "oriax68/house-price", "kernel_id": "34575976"}, {"ref": "yiiiiivak/houseprice-machine-leaning", "kernel_id": "34034016"}, {"ref": "ivoryj/comprehensive-data-exploration-with-python", "kernel_id": "34838593"}, {"ref": "murugesann/ames-housing-stacking-with-deeplearning-top3-5", "kernel_id": "34190908"}, {"ref": "leandrocassius/predicting-house-prices-with-ridgecv", "kernel_id": "34291112"}, {"ref": "yusuphmustaphaladi/home-runners", "kernel_id": "34794609"}, {"ref": "samanehkorlou/house-prices-prediction", "kernel_id": "34745852"}, {"ref": "jethiwalasaivardhan/houseprice", "kernel_id": "34334651"}, {"ref": "rrahmatfadlisadikin/sales-price-for-house-in-ames-lowa", "kernel_id": "34455067"}, {"ref": "nikhilpabbu/house-prices", "kernel_id": "34762187"}, {"ref": "bilashalder/house-price-prediction", "kernel_id": "34823099"}, {"ref": "shreyasrinivasan30/house-price-prediction-multiple-lr", "kernel_id": "34721601"}, {"ref": "tohidyousefi/predicting-house-price-using-ml-alogrithms", "kernel_id": "34315484"}, {"ref": "ibriiee/beginners-to-intermediate-guide-predicting-price", "kernel_id": "34892964"}, {"ref": "nhuerp00/house-prices-eda", "kernel_id": "34679911"}, {"ref": "nhuerp00/house-prices-competition-2nd-attempt", "kernel_id": "34712126"}, {"ref": "yuhexiong/house-prices-linear-rf-xgb-lightgbm", "kernel_id": "34395343"}, {"ref": "viniciusnalasantos/housepricesalgoritm", "kernel_id": "34417197"}, {"ref": "ademox02/house-prices-for-beginners", "kernel_id": "34775416"}, {"ref": "chiyucheng/ml-with-andrew-ng-and-kaggle-no-2", "kernel_id": "34270684"}, {"ref": "chiyucheng/ml-with-andrew-ng-and-kaggle-no-1", "kernel_id": "34278731"}, {"ref": "chiyucheng/mlwith-andrew-ng-and-kaggle-no-2-1", "kernel_id": "34810397"}, {"ref": "chiyucheng/ml-and-andrew-ng-and-kaggle-no-3", "kernel_id": "34725609"}, {"ref": "kavinkv/housing-price-prediction", "kernel_id": "34014399"}, {"ref": "dmitryshekhov/catboost-xgboost-lightgbm-regression-challenge", "kernel_id": "34706218"}, {"ref": "dmitryshekhov/step-by-step-gradient-descent-and-boosting", "kernel_id": "34645856"}, {"ref": "oleksandrkanalosh/house-prices-regression", "kernel_id": "34417462"}, {"ref": "ylogicmachine/home-price-predict", "kernel_id": "34598709"}, {"ref": "noyhanan/simple-eda-sgd-linear-regression", "kernel_id": "34123042"}, {"ref": "nhttinnguynbch/house-price", "kernel_id": "34122910"}, {"ref": "omarkhd99/house-prices", "kernel_id": "34304854"}, {"ref": "abraamadamidis/gradientboostingregressor", "kernel_id": "34301439"}, {"ref": "saidislombek/house-prices-prediction-lgbmregressor", "kernel_id": "34539265"}, {"ref": "olegbudin/house-prices-2-baseline", "kernel_id": "34674939"}, {"ref": "harishgampala/house-price-prediction-hr", "kernel_id": "34807998"}, {"ref": "nileshrathi99/house-sale-price-predictions", "kernel_id": "34756988"}, {"ref": "itsnahm/feature-engineering-in-house-price-dataset", "kernel_id": "34309491"}, {"ref": "suedakaya/house-prices-advanced-regression", "kernel_id": "34178863"}, {"ref": "dambrudharmahanty/housepriceprediction", "kernel_id": "34646102"}, {"ref": "mariamadeola/house-price-prediction-using-ridge-regression", "kernel_id": "34503864"}, {"ref": "jacky0414/prediction-of-house-price-beginner", "kernel_id": "34368791"}, {"ref": "boydoimmanuel/house-price-prediction-eda-modelling", "kernel_id": "34089934"}, {"ref": "minhthu211/house-prices", "kernel_id": "34456337"}, {"ref": "moh3we5/house-prices-regression-project", "kernel_id": "34215057"}, {"ref": "saibattula/house-price-prediction", "kernel_id": "34862450"}, {"ref": "sunny9999/house-price-prediction-linear-rf-xgboost", "kernel_id": "34608362"}, {"ref": "shubhamsingh57/house-price", "kernel_id": "34544140"}, {"ref": "shubhamsingh57/linearregressingmodel-r2score-84", "kernel_id": "34287535"}, {"ref": "omkarborade/house-price-prediction", "kernel_id": "34707710"}, {"ref": "caiocontroles/house-pricing-prediction", "kernel_id": "34755522"}, {"ref": "harinuu/house-price-prediction-using-randomforest", "kernel_id": "34071743"}, {"ref": "lakithadinuwan/house-pricing-xgboost", "kernel_id": "34416665"}, {"ref": "rebeccapringle/house-prices-code", "kernel_id": "34679950"}, {"ref": "hieronymussquash/notebookbceb7a4369", "kernel_id": "34631264"}, {"ref": "levysnchez/house-prices-regression", "kernel_id": "34109004"}, {"ref": "ezequielalvessoares/pre-o-das-casas-t-cnicas-avan-adas-de-regress-o", "kernel_id": "34241684"}, {"ref": "muaadhsh/house-price-prediction", "kernel_id": "34019969"}, {"ref": "sashabobrov/house-prices", "kernel_id": "34266215"}, {"ref": "tushar0807/house-prices-prediction-with-70-r-square", "kernel_id": "34516866"}, {"ref": "salmaeddaoudi/house-prices-advanced-regression-techniques", "kernel_id": "34275483"}, {"ref": "kaylanghammerdata/ames-housing", "kernel_id": "34506418"}, {"ref": "ayushashtikar/houseprices", "kernel_id": "34602645"}, {"ref": "vishalkanojiya/house-prices-advanced-regression-techniques", "kernel_id": "34595593"}, {"ref": "kunalbokde/houseprices", "kernel_id": "34602746"}, {"ref": "riksse/advanced-regression-sgd", "kernel_id": "34739320"}, {"ref": "idoronen/ido-ronen-house-prices-competition", "kernel_id": "34096654"}, {"ref": "mehranwaheed/notebookb8d088d238", "kernel_id": "34527777"}, {"ref": "robertcscott/notebook316a89902e", "kernel_id": "34727980"}, {"ref": "shrikrishnaparab/house-prices-advanced-regression-techniques", "kernel_id": "34899028"}, {"ref": "natapalakarimi/stacked-regressions", "kernel_id": "34086098"}, {"ref": "matanelad/houses-prices", "kernel_id": "34076248"}, {"ref": "pipatvo/test-198-00", "kernel_id": "34040615"}, {"ref": "pablo94/house-prices-simple-model-with-high-r2-score", "kernel_id": "34374037"}, {"ref": "fliciencantalloube/house-price-calculation", "kernel_id": "34405611"}, {"ref": "adivireza/house-prices-predict-sales-prices", "kernel_id": "34687956"}, {"ref": "walkalone2002/predicthousepricing-random-forest", "kernel_id": "34077567"}, {"ref": "kaupendraabshnan/house-price-e965e0", "kernel_id": "34297270"}, {"ref": "phillip0819/house-prices-regression-23-2-13-begin", "kernel_id": "34999569"}, {"ref": "joonshukoh/houseprices-2-predict", "kernel_id": "34147724"}, {"ref": "joonshukoh/houseprices-1-eda", "kernel_id": "34145386"}, {"ref": "sciencesuper/comprehensive-data-exploration-with-python", "kernel_id": "34294191"}, {"ref": "nutkanibloch/eda-on-numerical-data-a-beginner-s-way", "kernel_id": "34115808"}, {"ref": "nutkanibloch/house-price-advanced-regression", "kernel_id": "34115829"}, {"ref": "nutkanibloch/eda-on-catagorical-data", "kernel_id": "34644481"}, {"ref": "jarvis78/house-prices", "kernel_id": "34602733"}, {"ref": "poomsukkasemhathai/house-price-prediction-by-149", "kernel_id": "34040091"}, {"ref": "sunitchad1/housing-price-prediction", "kernel_id": "34300590"}, {"ref": "abdalrahminmohammed/house-prices-advanced-regression", "kernel_id": "34656515"}, {"ref": "mahasagheer/projectofml", "kernel_id": "34490365"}, {"ref": "mahasagheer/w11mlproject", "kernel_id": "34709444"}, {"ref": "yentingwang108605504/house-prices-final", "kernel_id": "34085094"}, {"ref": "bhagyashribss123/house-prices-using-advanced-regression-techniques", "kernel_id": "34602745"}, {"ref": "jonathanradcliffe/2nd-notbook-ames-house-price", "kernel_id": "34680288"}, {"ref": "mohanathakre/house-price-advance-rergression", "kernel_id": "34602877"}, {"ref": "shubhsehgal/house-price-prediction-step-by-step-ds-procedure", "kernel_id": "34601348"}, {"ref": "kaineyamashiro/house", "kernel_id": "34273939"}, {"ref": "petitrastignac/house-prices-ensemble-sklearn-0-126-score", "kernel_id": "34954370"}, {"ref": "yugaoshima/notebookc301005bb", "kernel_id": "34986222"}, {"ref": "shaikarifa295/housepriceprediction-featureengineering", "kernel_id": "34646612"}, {"ref": "alexvanellis/ai-assignment", "kernel_id": "34461893"}, {"ref": "iemanihsan/house-prices-advanced-regression-techniques", "kernel_id": "34363937"}, {"ref": "aishwaryshukla23/house-price-prediction-final", "kernel_id": "34435598"}, {"ref": "reeceriherd/ece460j-team-7-lab3", "kernel_id": "34558691"}, {"ref": "furduisorinoctavian/top-15-numeric-features-using-seaborn-heatmap", "kernel_id": "34977688"}, {"ref": "adityakuma050/housepricespredectionbyaditya", "kernel_id": "34615422"}, {"ref": "hirata07/house-prices", "kernel_id": "34762253"}, {"ref": "lukeyoungs/notebookf351f5a795", "kernel_id": "34596672"}, {"ref": "lukeyoungs/house-prices-feature-engineering-lb-0-11775", "kernel_id": "34922229"}, {"ref": "barelhatuka/house-pricing-assignment", "kernel_id": "34697943"}, {"ref": "emansaleemalharbi/ml-project", "kernel_id": "34729464"}, {"ref": "abdelrhmandemo/house-prices-advanced-regression", "kernel_id": "34978493"}, {"ref": "lperto/house-prices-gau-ds-call-iii", "kernel_id": "35426580"}, {"ref": "funxexcel/0-pandas-selection-and-filter", "kernel_id": "35901796"}, {"ref": "funxexcel/3-identify-treat-num-cat-missing-values", "kernel_id": "35801176"}, {"ref": "anunnikrishnan/exam-code-practice", "kernel_id": "35419802"}, {"ref": "anunnikrishnan/eda-housing-price-prediction", "kernel_id": "35420283"}, {"ref": "kaedeaki/house-saleprice-prediction", "kernel_id": "35927831"}, {"ref": "siddharthkumarsah/house-prices-advanced-regression-solution", "kernel_id": "35933521"}, {"ref": "tonikhilkumarreddy/house-price-regression", "kernel_id": "35775195"}, {"ref": "roxket/catboostregressor-0-12735", "kernel_id": "35202451"}, {"ref": "roxket/randomforestregressor-0-14373", "kernel_id": "35169707"}, {"ref": "roxket/lightgbm-0-13196", "kernel_id": "35182433"}, {"ref": "roxket/prophet-0-42513", "kernel_id": "35237241"}, {"ref": "roxket/polynomial-regression-2-14136", "kernel_id": "35116347"}, {"ref": "roxket/ridge-regression-0-15326", "kernel_id": "35116533"}, {"ref": "roxket/linear-regression-0-19265", "kernel_id": "35115919"}, {"ref": "roxket/lasso-regression-8-75904", "kernel_id": "35133290"}, {"ref": "roxket/support-vector-regression-svr-0-31605", "kernel_id": "35145415"}, {"ref": "roxket/xgbregressor-1-52482", "kernel_id": "35151768"}, {"ref": "jinneee1004/houseprice-jj", "kernel_id": "35554881"}, {"ref": "chasek123/starter-notebook-building-a-model-in-kaggle", "kernel_id": "35278421"}, {"ref": "somir049/housepricepredictionlinearmodels-multiple-layer2", "kernel_id": "35792915"}, {"ref": "somir049/housepricepredictionlinearmodelsr-multiple-layer1", "kernel_id": "35788791"}, {"ref": "somir049/housepricepredictionlinearmodelsr", "kernel_id": "35788587"}, {"ref": "validmodel/feature-engineering-model-sklearnpipeline", "kernel_id": "35834366"}, {"ref": "validmodel/comprehensive-exploratory-data-analysis", "kernel_id": "35801291"}, {"ref": "icy8799/tabnet-a-very-simple-regression-example", "kernel_id": "35562490"}, {"ref": "sanfernoronha/house-price", "kernel_id": "35797691"}, {"ref": "racksonsit/house-price-prediction-regression", "kernel_id": "35096414"}, {"ref": "sreesai1412/kaggle-session-ii-webclub-eda", "kernel_id": "35317122"}, {"ref": "sreesai1412/kaggle-session-ii-webclub-reg-linear-regression", "kernel_id": "35317158"}, {"ref": "catadanna/predict-house-prices-my-solution-v2", "kernel_id": "35261283"}, {"ref": "edaaydinea/house-prices-prediction", "kernel_id": "35589393"}, {"ref": "irfanbabar42/midterm-exam-data-science", "kernel_id": "35972897"}, {"ref": "charunumesh/house-prices-advanced-regression-techniques", "kernel_id": "35028589"}, {"ref": "gustavofelici/sale-price-prediction-catboostregressor-pt-br", "kernel_id": "35992111"}, {"ref": "ekeneosubor/house-prices", "kernel_id": "35501411"}, {"ref": "elvidmuslim/advanced-house-price-prediction", "kernel_id": "35770300"}, {"ref": "reetamchatterjee/house-price-reg", "kernel_id": "35777507"}, {"ref": "mohdbilalhaider/assignment-2-data-science", "kernel_id": "35030837"}, {"ref": "mohdbilalhaider/mid-term-data-science", "kernel_id": "35650699"}, {"ref": "mohdbilalhaider/datascience-hyperparameter-tuning", "kernel_id": "35646812"}, {"ref": "samudra89/02-regression-analysis-house-pricing", "kernel_id": "35517783"}, {"ref": "chittiproluaakanksh/housing-pricing", "kernel_id": "35550680"}, {"ref": "jacquesgnongui/predict-house-price-with-julia", "kernel_id": "35744201"}, {"ref": "nadaazabmohamed/regression-houseprices-eda-high-rmse", "kernel_id": "35624698"}, {"ref": "abhigyaverma/comparitive-analysis-of-algorithms", "kernel_id": "35203601"}, {"ref": "denniskuriakose/houseprice-dennis-v2", "kernel_id": "35236740"}, {"ref": "thegamer7675/midterm-210045452", "kernel_id": "35975609"}, {"ref": "nandapg0204/notebook271e1e017b", "kernel_id": "35856803"}, {"ref": "adityashukla1/house-prices-regression", "kernel_id": "35474004"}, {"ref": "zhukovoleksiy/house-prices-detailed-top-5-solution", "kernel_id": "35723848"}, {"ref": "jungheepark9779/20230301", "kernel_id": "35570387"}, {"ref": "jungheepark9779/20230305-jhpark", "kernel_id": "35691230"}, {"ref": "jungheepark9779/20230306", "kernel_id": "35734692"}, {"ref": "rkatsu/project-2", "kernel_id": "35598334"}, {"ref": "ozgurbayram00/house-prices-eda-advanced-regression-models", "kernel_id": "35966769"}, {"ref": "ivaneleskin/key-concepts-of-eda-for-house-prices", "kernel_id": "35321075"}, {"ref": "xizaokaiz/house-prices-ann", "kernel_id": "35321612"}, {"ref": "uchennaorjiokoro/house-prices", "kernel_id": "35149179"}, {"ref": "kkalera/simple-xgboost-with-label-encoder", "kernel_id": "35535868"}, {"ref": "jiang54/house-prices-advanced-regression-techniques", "kernel_id": "35798578"}, {"ref": "avi1023/house-prices-random-forest-in-r", "kernel_id": "35054573"}, {"ref": "redelectricyw/lshomework-230306", "kernel_id": "35638129"}, {"ref": "archetype/housing-prices", "kernel_id": "35469409"}, {"ref": "jocelyndumlao/predicting-home-sale-prices", "kernel_id": "35623747"}, {"ref": "devsavsani/notebook09f8145331", "kernel_id": "35105680"}, {"ref": "tuhinm2002/house-prices-advanced-regression-techniques", "kernel_id": "35676728"}, {"ref": "fabiodamacena/tarefa-de-regress-o-fundamentada", "kernel_id": "35375239"}, {"ref": "harshraj09sp/houseprice-prediction-regression-models", "kernel_id": "35739173"}, {"ref": "bhupendrarajput/house-price-advance-rt-eda-and-ml-model", "kernel_id": "35620354"}, {"ref": "avantikab/house-price-prediction", "kernel_id": "35603725"}, {"ref": "edwardhuangtw/top-10-home-predict", "kernel_id": "35962791"}, {"ref": "max780228/house-price-prediction-ls", "kernel_id": "35523026"}, {"ref": "lusfernandotorres/adversarial-validation-made-simple", "kernel_id": "35623579"}, {"ref": "chongzhenjie/house-prices-kernel-methods-tree-models", "kernel_id": "35038884"}, {"ref": "noshiobecca/the-ames-housing-sales-price-prediction", "kernel_id": "35589397"}, {"ref": "resshma/house-price-prediction", "kernel_id": "35003266"}, {"ref": "alexandermarfin/housesprediction-old", "kernel_id": "35040865"}, {"ref": "addythokale/houseprice-prediction", "kernel_id": "35099141"}, {"ref": "zhiwei27/housing-regression", "kernel_id": "35009569"}, {"ref": "dickyaryanto/house-price-insight-prediction", "kernel_id": "35841717"}, {"ref": "rahulmagar33/house-price-prediction", "kernel_id": "35122376"}, {"ref": "mahshidsarafraz/exercise2-house-price", "kernel_id": "35728442"}, {"ref": "sanandachowdhury/house-prices-advanced-models", "kernel_id": "35797216"}, {"ref": "priyankaraut32/house-price-prediction", "kernel_id": "35366420"}, {"ref": "kylegraupe/how-to-test-42-regressors-check-it-out", "kernel_id": "35351799"}, {"ref": "mahendrawagh/house-price-prediction-on-train-data", "kernel_id": "35019060"}, {"ref": "tanatarora/cw-13-feature-engineering", "kernel_id": "35358899"}, {"ref": "srikarthadaka/regression-techniques", "kernel_id": "35664128"}, {"ref": "sabahesaraki/comprehensive-guide-on-feature-selection", "kernel_id": "35548486"}, {"ref": "sabahesaraki/house-prices-regression", "kernel_id": "35554061"}, {"ref": "abdelrahmanmosbah/house-prices", "kernel_id": "35287579"}, {"ref": "itsmohammadshahid/handy-python-pandas-for-data-aggregation", "kernel_id": "35422974"}, {"ref": "cristianlapenta/house-price-prediction", "kernel_id": "35909666"}, {"ref": "alaaadell/house-price-top-result", "kernel_id": "35616651"}, {"ref": "wedsami/data-science-final-assignment", "kernel_id": "35293895"}, {"ref": "kutlukatalay/house-prices-advanced-models-top-1-lgbm-regressor", "kernel_id": "35772579"}, {"ref": "rupeshmahanty/house-prices-advanced-regression-techniques", "kernel_id": "35404026"}, {"ref": "saneeshck/housing-prices-machine-learning", "kernel_id": "35211147"}, {"ref": "vivymishra/house-price-advance-rt-eda-and-machine-learning", "kernel_id": "35619983"}, {"ref": "lizhecheng/high-score-by-data-matching", "kernel_id": "35791777"}, {"ref": "mingyuwang1/house-prices-advanced-regression-techniques", "kernel_id": "35253363"}, {"ref": "dmkharitonov/new-dataset-quality-assesment", "kernel_id": "35125744"}, {"ref": "alfiyafakhrutdinova/eda-gbr-randforest-lasso-e-net-knn", "kernel_id": "35003694"}, {"ref": "vishakhsandwar/neural-feature-engineering", "kernel_id": "35715948"}, {"ref": "karthikheyaakurra/house-price-model", "kernel_id": "35491792"}, {"ref": "tohidyousefi/predicting-house-prices-using-pyspark", "kernel_id": "35373049"}, {"ref": "judithokon/judith-s-house-price-prediction-using-xgboost", "kernel_id": "35581075"}, {"ref": "dsharshgupta/advance-regression", "kernel_id": "35304880"}, {"ref": "dsharshgupta/advance-regression-2", "kernel_id": "35317741"}, {"ref": "masayakawamata/how-to-deal-with-missing-values-simpleimputer", "kernel_id": "35630625"}, {"ref": "masayakawamata/feature-engine-engineering-missing-values", "kernel_id": "35638669"}, {"ref": "mted223/housing-data-competition-pt-1-eda", "kernel_id": "35155560"}, {"ref": "hiteshnegi07/feature-engineering-for-house-prices", "kernel_id": "35854904"}, {"ref": "kothais/house-prices-prediction", "kernel_id": "35316475"}, {"ref": "kaibaur/multiplelinearregression-lasso-with-house-prices", "kernel_id": "35367491"}, {"ref": "chiyucheng/ml-with-andrew-ng-and-kaggle-no-5", "kernel_id": "35589965"}, {"ref": "mohanadashour/house-price", "kernel_id": "35977179"}, {"ref": "abdelrahmanelnabawy/house-price-prediction", "kernel_id": "35772971"}, {"ref": "indhuashini/house-price-prediction", "kernel_id": "35902627"}, {"ref": "dmitryshekhov/catboost-optuna-with-cv", "kernel_id": "35126613"}, {"ref": "dmitryshekhov/catboost-on-gpu-with-grid-search", "kernel_id": "35126734"}, {"ref": "rickyyoung4364/comprehensive-data-exploration-with-python", "kernel_id": "35436845"}, {"ref": "kaggleuserjai/tried-using-linear-regression", "kernel_id": "35790926"}, {"ref": "ahmadalqawasmeh/house-price-regression", "kernel_id": "35160264"}, {"ref": "dlogical/hpp-mid-term", "kernel_id": "35065696"}, {"ref": "dlogical/hyperparameter-tuning", "kernel_id": "35043510"}, {"ref": "dlogical/assignment-2-house-price-prediction", "kernel_id": "35106536"}, {"ref": "rmeades/ames-house-price-predictions", "kernel_id": "35027595"}, {"ref": "rmeades/auto-feature-selection-in-house-price-predictions", "kernel_id": "35026483"}, {"ref": "rubensocj/regress-o-lasso-svr-e-random-forest", "kernel_id": "35559649"}, {"ref": "abocadobaby/ols-ridge-lasso", "kernel_id": "35960487"}, {"ref": "selvin3/house-price-regression", "kernel_id": "35761746"}, {"ref": "zizh3ngzhang/house-price-linear-reg", "kernel_id": "35186295"}, {"ref": "aidarishmukhametov/house-prices-advanced-regression-techniques", "kernel_id": "35197740"}, {"ref": "atiebr/exercise-2-house-prices", "kernel_id": "35738325"}, {"ref": "siddhantsindhkar/housing-prices-prediction-model-blending", "kernel_id": "35988081"}, {"ref": "josuadaniel/house-price-ensemble-model", "kernel_id": "35900976"}, {"ref": "josuadaniel/house-prices-models", "kernel_id": "35894216"}, {"ref": "burakksz/house-price-predection", "kernel_id": "35613176"}, {"ref": "mrandes/housing-prices-advanced-regression-techniques", "kernel_id": "35757919"}, {"ref": "difafarhanihakim/ml-house-predict", "kernel_id": "35880517"}, {"ref": "ashbabkhan/recursive-feature-elimination", "kernel_id": "35434126"}, {"ref": "ashbabkhan/effective-feature-reduction-technique", "kernel_id": "35560495"}, {"ref": "kirze2206/house-price", "kernel_id": "35564502"}, {"ref": "anushreek15/house-price-prediction", "kernel_id": "35649997"}, {"ref": "shubhamsingh57/housepriceprediction-famd", "kernel_id": "35499834"}, {"ref": "preciousosokoya/advanced-regression", "kernel_id": "35784384"}, {"ref": "vishakkbhat/100-accurate-housing-price", "kernel_id": "35903407"}, {"ref": "mohamedahmednaji/lr-housing", "kernel_id": "35984458"}, {"ref": "redateaches/house-prices-advanced-regression-techniques-tw", "kernel_id": "35304905"}, {"ref": "manishkumar21324/house-prices-data-analysis-machine-learning", "kernel_id": "35262812"}, {"ref": "mddeenahmed/notebooka25717ba31", "kernel_id": "35656314"}, {"ref": "rkevin/house-prices-predict", "kernel_id": "35719956"}, {"ref": "robinmiah1/house-price-regression", "kernel_id": "35187735"}, {"ref": "vahidsharifi76/house-pricing-ml-from-scratch-to-advance", "kernel_id": "35377226"}, {"ref": "avd1729/house-price-prediction", "kernel_id": "35888060"}, {"ref": "zeynepozisil/house-price-predict", "kernel_id": "35353934"}, {"ref": "hanahana1198/notebook58a5d5fedf", "kernel_id": "35991193"}, {"ref": "xctkp01/d13-feature-engineering-for-house-prices", "kernel_id": "35331434"}, {"ref": "architrathod/dspl-experiment-4", "kernel_id": "35052810"}, {"ref": "gianlukysaputra/tugas-1-kel-datmin", "kernel_id": "35696134"}, {"ref": "syedasifmn/housing-price-prediction-training", "kernel_id": "35039810"}, {"ref": "linarozentsveig/angelina-ilana", "kernel_id": "35341302"}, {"ref": "hmthang72/feature-engineering-for-house-prices", "kernel_id": "35576121"}, {"ref": "hoawenlo/house-prices-kaggle-competition", "kernel_id": "35949071"}, {"ref": "wepasabyrow/house-prices-advanced-regression-techniques", "kernel_id": "35496217"}, {"ref": "tarkhon/house-prices-advanced-regression-techniques", "kernel_id": "35692412"}, {"ref": "jtmyfd/house-prices-regression-dtr-vs-tfdf", "kernel_id": "35234687"}, {"ref": "tinarogava/house-prices-tr-gau-data-science-iii", "kernel_id": "35836341"}, {"ref": "mateuszk013/house-prices-eda-machine-learning", "kernel_id": "35404186"}, {"ref": "yatinaggarwal033/house-price-competition", "kernel_id": "35744319"}, {"ref": "yugaoshima/notebook4b97ca8765", "kernel_id": "35428757"}, {"ref": "yugaoshima/notebook64e3f5a206", "kernel_id": "35029594"}, {"ref": "yugaoshima/notebook3483e63f0b", "kernel_id": "35197738"}, {"ref": "apostolidisapostolos/house-predictions", "kernel_id": "35137932"}, {"ref": "zayamtariq/homework-3-data-science-lab", "kernel_id": "35015202"}, {"ref": "thanaritkanjana/cw13-feature-engineering", "kernel_id": "35247005"}, {"ref": "dhconnelly/house-prices", "kernel_id": "35547444"}, {"ref": "ardesh1r/prediction-from-scratch-0-82-cleaning-eda-ml", "kernel_id": "35008370"}, {"ref": "joseolmedojr/lab3p3", "kernel_id": "35047013"}, {"ref": "argashsk/competition-house-regression", "kernel_id": "35887508"}, {"ref": "ashwathselvam/eda-house", "kernel_id": "35076750"}, {"ref": "jihwankim0929/notebookbc1845c4ad", "kernel_id": "35369926"}, {"ref": "iniesmere/duck0218", "kernel_id": "35188107"}, {"ref": "polamadhuri/house-price-prediction", "kernel_id": "35529991"}, {"ref": "crazyboychandu/house", "kernel_id": "35303981"}, {"ref": "yftachgil/regression-boston-house", "kernel_id": "35608877"}, {"ref": "sykimlsn/houseprice-sykim", "kernel_id": "35676826"}, {"ref": "kaungkhantsithu/feature-engineering-for-house-prices", "kernel_id": "35287732"}, {"ref": "andreypopov17/notebooke1f5977606", "kernel_id": "35519001"}, {"ref": "andreypopov17/notebook2-allnumerical-droppedna", "kernel_id": "35544121"}, {"ref": "tengluoxiyue/top-16-eda-catboost-solution", "kernel_id": "35535029"}, {"ref": "jamesalexanderputton/housepredictregression", "kernel_id": "35904108"}, {"ref": "walidkw/house-prices-regression-model-selection", "kernel_id": "35713953"}, {"ref": "s4rahabuobayd/house-prices-advanced-regression-techniques", "kernel_id": "35291773"}, {"ref": "statisticsplaybook/3-house-price", "kernel_id": "35723193"}, {"ref": "chwasiq0569/eda-on-house-price-prediction-dataset", "kernel_id": "35455313"}, {"ref": "ashwinramravi/feature-engineering", "kernel_id": "35311572"}, {"ref": "sangraynabalqis/cheatsheet-70-ggplot-charts", "kernel_id": "35829706"}, {"ref": "ryokogasaka/notebook6ad488ffd2", "kernel_id": "35347370"}, {"ref": "ryokogasaka/blending-best", "kernel_id": "35413611"}, {"ref": "rimapanchal1/business-challenge", "kernel_id": "35390987"}, {"ref": "pacharachotiyanont2/feature-engineering-for-house-prices", "kernel_id": "35314739"}, {"ref": "captainhedimineoui/house-price-prediction", "kernel_id": "35505217"}, {"ref": "shotamatcharashvili/hpart-shmatch", "kernel_id": "35445102"}, {"ref": "abdelrahmanamiin/housing-price", "kernel_id": "35470291"}, {"ref": "jupyternot/using-categorical-data-with-one-hot-encoding", "kernel_id": "35801151"}, {"ref": "gustavofortunato/house-prices-better", "kernel_id": "35914776"}, {"ref": "lordsib/houseprices1", "kernel_id": "35772281"}, {"ref": "ibrahimismailialaoui/notebook1edae2b1b3", "kernel_id": "35972510"}, {"ref": "williamclopez/group3-house-price-regression", "kernel_id": "35846396"}, {"ref": "williamclopez/group3-house-price-deeplearning", "kernel_id": "35863842"}, {"ref": "cleydytomamicle/advanced-house-price-prediction", "kernel_id": "35981136"}, {"ref": "cleydytomamicle/advanced-house-price-prediction-tmcn", "kernel_id": "35993873"}, {"ref": "comsaandreea/house-price-predictions", "kernel_id": "35923628"}, {"ref": "mihneacotinghiu/price-prediction", "kernel_id": "35979439"}, {"ref": "jankuper192/house-prices-eda-en-regressie-in-het-nederlands", "kernel_id": "36380618"}, {"ref": "shubhammodi0/modsub-test", "kernel_id": "36544818"}, {"ref": "fanjum/house-prices", "kernel_id": "36611960"}, {"ref": "scottyiu/basic-titanic-2", "kernel_id": "36253691"}, {"ref": "donkeys/basic-eda-tool-exploration", "kernel_id": "36772724"}, {"ref": "theupgrade/step-by-step-eda-lasso-lgbmr-stack", "kernel_id": "36293831"}, {"ref": "dellalkhaled/circle-of-correlations-and-nothing-else", "kernel_id": "36589862"}, {"ref": "ivanvaccari/catboostregressor-and-model-selection-approach", "kernel_id": "36689401"}, {"ref": "pramodbankhele/house-price-prediction", "kernel_id": "36107995"}, {"ref": "vishaldeoprasad/house-prices-prediction", "kernel_id": "36600575"}, {"ref": "emmaweizhang/house-price-my-1st-kaggle-attempt", "kernel_id": "36241035"}, {"ref": "filippietryga/notebookd1df72b8e9", "kernel_id": "36862459"}, {"ref": "redaak/advance-housing-price-prediction", "kernel_id": "36333862"}, {"ref": "arunpurakkatt/adversarial-validation-xgb", "kernel_id": "36607217"}, {"ref": "ercaneser/house-price-pyspark", "kernel_id": "36541510"}, {"ref": "christianriccio/houseprices-prediction", "kernel_id": "36552356"}, {"ref": "gustavofelici/sales-price-prediction-complete-workflow", "kernel_id": "36037801"}, {"ref": "junyeongyu/housepricepredictions", "kernel_id": "36699570"}, {"ref": "thitiwat/house-price-prediction-with-random-forest", "kernel_id": "36129540"}, {"ref": "pinakimishrads/all-about-corelation-in-dataset", "kernel_id": "36291359"}, {"ref": "pinakimishrads/house-price-prediction-using-pycaret", "kernel_id": "36314541"}, {"ref": "mohamedyousefhafez/house-prices-advanced", "kernel_id": "36137497"}, {"ref": "agumfanani/house-price-prediction-using-boruta-feature-select", "kernel_id": "36799610"}, {"ref": "marioandrs/house-prices-pred-2023-4", "kernel_id": "36768018"}, {"ref": "khageshorgiri/a-guide-to-handling-missing-values-in-python", "kernel_id": "36803097"}, {"ref": "mirabirhossain/eda-of-data", "kernel_id": "36099674"}, {"ref": "drbeane/dsci-408-hw-05-username", "kernel_id": "36981487"}, {"ref": "chenyangyug/lightgbm-pipeline-with-gridsearchcv", "kernel_id": "36571377"}, {"ref": "eslamfouad/house-prices-advanced-regression-techniques", "kernel_id": "36256348"}, {"ref": "saimkakar/house-prediction-eda", "kernel_id": "36919498"}, {"ref": "rhythmcam/house-price-permutation-importance", "kernel_id": "36870046"}, {"ref": "rhythmcam/pandas-basic-apply-pipe-usage", "kernel_id": "36779324"}, {"ref": "peizhengwang/apply-new-knowledge-to-simple-problem", "kernel_id": "36759638"}, {"ref": "monikakusumanchi/house-price-prediction-with-random-forest", "kernel_id": "36432833"}, {"ref": "cipollinonewbie/price-prediction", "kernel_id": "36600039"}, {"ref": "mikhailchivilev/simple-catboostregressor-model", "kernel_id": "36209201"}, {"ref": "binitagiri/house-prices-advanced-regression-techniques", "kernel_id": "36439769"}, {"ref": "joshuaemslie/property-sales-forecasting-project", "kernel_id": "36891756"}, {"ref": "mirzahasnine/house-price-prediction-with-accuracy-70", "kernel_id": "36676765"}, {"ref": "gusthema/house-prices-prediction-using-tfdf", "kernel_id": "36143023"}, {"ref": "saadbouhya/house-prices-la2-sb", "kernel_id": "36845258"}, {"ref": "basavbamrah/house-prices", "kernel_id": "36632650"}, {"ref": "bhuvanagayathri/house-prices-prediction-using-ann", "kernel_id": "36391027"}, {"ref": "maddalasravani/ann-on-housing-dataset", "kernel_id": "36394660"}, {"ref": "fatismajli/xgboost-regression-grid-search", "kernel_id": "36861751"}, {"ref": "gunnusravani/house-prices-prediction-regressions", "kernel_id": "36392290"}, {"ref": "yinn94/house-pricing", "kernel_id": "36438237"}, {"ref": "saraghasemirad/house-prices-advanced-regression-techniques", "kernel_id": "36636873"}, {"ref": "ishanmanglik/notebookc38992a789", "kernel_id": "36198606"}, {"ref": "aminmb2800/house-prices-prediction-regressions", "kernel_id": "36275497"}, {"ref": "sourabh0001kumar/house-prices-advanced-regression-techniques", "kernel_id": "36321241"}, {"ref": "ghazouanihaythem/house-price-prediction-beginner-s-notebook", "kernel_id": "36962656"}, {"ref": "rezortchen/house-prices-advanced-regression-techniques-dnn", "kernel_id": "36932626"}, {"ref": "smnuruzzaman/house-price-91", "kernel_id": "36115085"}, {"ref": "yanlaytila/house-prices-prediction", "kernel_id": "36820635"}, {"ref": "bonsoularani/notebookeb35645459", "kernel_id": "36852029"}, {"ref": "team63/practical-introduction-to-10-regression-algorithm", "kernel_id": "36922357"}, {"ref": "iqmansingh/house-price-regression", "kernel_id": "36578920"}, {"ref": "bunnyeshu/house-price-prediction", "kernel_id": "36963768"}, {"ref": "abhinavjain93/gradientboost-house-prediction", "kernel_id": "36730609"}, {"ref": "nikitakrasnytskyi/tensorflow-regression-baseline-numerical-data", "kernel_id": "36938961"}, {"ref": "nikitakrasnytskyi/one-function-to-rule-them-all-preprocessing", "kernel_id": "36903988"}, {"ref": "patrickstarrrr/deep-feedforward-networks-mlp-for-house-prices", "kernel_id": "36217385"}, {"ref": "klu2000030172/house-prices-regression-techniques-for-prediction", "kernel_id": "36681354"}, {"ref": "juancamilos29/clusters", "kernel_id": "36181816"}, {"ref": "ahmedmohamedabdallah/house-price-prediction", "kernel_id": "36527666"}, {"ref": "muhannadmansour/house-price-prediction-with-regression-models", "kernel_id": "36852509"}, {"ref": "mohamadmmdouh/house-prices-advanced-regression-score-0-13944", "kernel_id": "36075835"}, {"ref": "koundinya1/notebook5986d97477", "kernel_id": "36372171"}, {"ref": "olesyagerasimova/clusters", "kernel_id": "36543389"}, {"ref": "hanimohamed/a2hy-team", "kernel_id": "36736822"}, {"ref": "tyndale/my-trial-on-house-prices", "kernel_id": "36535669"}, {"ref": "glavianhcastelino/house-prices-submission-2", "kernel_id": "36280412"}, {"ref": "kankanj/housing-price-predion", "kernel_id": "36483472"}, {"ref": "prabudhdkandpal/house-price-models", "kernel_id": "36910347"}, {"ref": "mallasravya/house-price-prediction", "kernel_id": "36278550"}, {"ref": "mohomedashfak/notebook1c5c79388f", "kernel_id": "36147923"}, {"ref": "deepbdoshi/house-prices-using-extratreesregressor", "kernel_id": "36107933"}, {"ref": "crocuta/housepricesincreased", "kernel_id": "36755292"}, {"ref": "adimulamshashank/advanced-regression", "kernel_id": "36373120"}, {"ref": "idarezaei/exploring-housing-prices-with-detailed-analysis", "kernel_id": "36728218"}, {"ref": "hasibullahaman/house-price-prediction-lgbmregessor-90", "kernel_id": "36338260"}, {"ref": "aniruddhmantrala/ames-housing-prediction", "kernel_id": "36299072"}, {"ref": "adastroabyssosque/housing-price-prediction", "kernel_id": "36459756"}, {"ref": "muhammadareebkhan/house-prices-pred", "kernel_id": "36485823"}, {"ref": "moro146/house-prices-pre", "kernel_id": "36788628"}, {"ref": "rajpulapakura/houses-prices-prediction-model", "kernel_id": "36840660"}, {"ref": "mewmlelswm/xgboost-housing-price-forecast", "kernel_id": "36721637"}, {"ref": "ashx010/house-price-data-analysis-and-prediction-model", "kernel_id": "36555187"}, {"ref": "pavan4679/notebookb1a0bc9103", "kernel_id": "36252909"}, {"ref": "tejasvichaturvedi/house-prices-compet", "kernel_id": "36413598"}, {"ref": "inhngcn/ames-housing-numerizing-everything", "kernel_id": "36141241"}, {"ref": "ivantazenkov/ml-lab2", "kernel_id": "36011904"}, {"ref": "abdulhadibilhaqiu/tugas-lingkungan-cerdas", "kernel_id": "36808682"}, {"ref": "anjali003/house-price-prediction-xgb-regressor", "kernel_id": "36358912"}, {"ref": "dfavenfre/house-price-prediction-extreme-gb-w-optuna", "kernel_id": "36418495"}, {"ref": "rafaeldsn/house-prices-prediction-ml-competition", "kernel_id": "36213082"}, {"ref": "abdelruhmanessam/house-price", "kernel_id": "36603249"}, {"ref": "gamzezaknc/house-price-adv-pred", "kernel_id": "36463712"}, {"ref": "sadvikapuppala/house-price-advanced-regression", "kernel_id": "36365216"}, {"ref": "addiwarluckyreddy/house-prices", "kernel_id": "36365299"}, {"ref": "sgslva/house-prices", "kernel_id": "36111955"}, {"ref": "karimhazem/feature-engineering", "kernel_id": "36613130"}, {"ref": "aisyainarashafiya/aisya-inara-a-459166-tugasregresi", "kernel_id": "36935012"}, {"ref": "pradeepsapparapu/house-price-advance-technology-predictions", "kernel_id": "36673021"}, {"ref": "chooyeanchan/house-price-beginner-230317", "kernel_id": "36131075"}, {"ref": "vladimirwlr/house-prices-visual-eda", "kernel_id": "36491581"}, {"ref": "ahmedbrahim9/house-price-prediction", "kernel_id": "36119123"}, {"ref": "amirsanjani/house-prices-prediction-regression-techniques", "kernel_id": "36741178"}, {"ref": "aravindhanarun/house-price-submission-with-different-models", "kernel_id": "36027508"}, {"ref": "tushartomer/house-prices-advanced-regression-techniques", "kernel_id": "36724213"}, {"ref": "meetkakadiya/boiler-plate-regression-eda-nn-feature-selection", "kernel_id": "36702777"}, {"ref": "celocruz/house-price-prediction-eda-randomforest", "kernel_id": "36715996"}, {"ref": "yashdhoble/house-price-prediction-ann", "kernel_id": "36481762"}, {"ref": "vanthanadevi08/house-price-using-linear-regression", "kernel_id": "36356776"}, {"ref": "jay25patel/exploratory-data-analysis-practice", "kernel_id": "36504020"}, {"ref": "jay25patel/feature-engineering-practice", "kernel_id": "36618800"}, {"ref": "pranavsarda00/house-price-prediction-advanced-regression", "kernel_id": "36109698"}, {"ref": "igormakarov1132/regularized-linear-models", "kernel_id": "36842410"}, {"ref": "anjusukumaran4/data-analysis-using-pivot-tables", "kernel_id": "36407992"}, {"ref": "anjusukumaran4/house-price-prediction-comparing-models", "kernel_id": "36304909"}, {"ref": "bioxes/house-pricing-analysis-model", "kernel_id": "36072552"}, {"ref": "bioxes/100-accurate", "kernel_id": "36075456"}, {"ref": "harisrehmanhh/housepricescompetition", "kernel_id": "36173762"}, {"ref": "anjaliigargg/house-price-prediction", "kernel_id": "36517595"}, {"ref": "burcutas/house-prices", "kernel_id": "36481159"}, {"ref": "nguyenn95/house-prices-advanced-regression-with-scikit-learn", "kernel_id": "36145643"}, {"ref": "aschot/regression-with-ordinal-feature-encoding", "kernel_id": "36236329"}, {"ref": "mertcimenlik/house-pricing", "kernel_id": "36538456"}, {"ref": "semirgessesse/house-prices-predictions", "kernel_id": "36121198"}, {"ref": "jzestone/notebookf1a114160e", "kernel_id": "36906513"}, {"ref": "fannydub/investissement-variables-qualitatives", "kernel_id": "36808276"}, {"ref": "beomsulee/house-prices-using-regression", "kernel_id": "36890411"}, {"ref": "syedfaizan22034/house-sales", "kernel_id": "36586854"}, {"ref": "chiongbeng/housing-price-analysis-nus", "kernel_id": "36507826"}, {"ref": "tengluoxiyue/eda-tools-pca-skb-dimension-reduction", "kernel_id": "36087593"}, {"ref": "asadbek1121/house-prices-advanced-regression-techniques", "kernel_id": "36754229"}, {"ref": "zibadelavari/house-prices", "kernel_id": "36848020"}, {"ref": "mostafakhaaled/house-price-regression", "kernel_id": "36905747"}, {"ref": "shreyajagani13/house-price-sales-prediction", "kernel_id": "36017678"}, {"ref": "butorinvasiliy/notebooke-house-prices-1", "kernel_id": "36549355"}, {"ref": "butorinvasiliy/notebook-house-prices-1", "kernel_id": "36554992"}, {"ref": "fatmaelraey/comprehensive-data-exploration-with-python", "kernel_id": "36406619"}, {"ref": "okoloboga/house-pricing-lgbm-regression", "kernel_id": "36081757"}, {"ref": "renumaan/with-randomforestregressor", "kernel_id": "36497142"}, {"ref": "gagezahn/house-guesser-final", "kernel_id": "36382481"}, {"ref": "mohamedelkarakhi/house-prediction", "kernel_id": "36068318"}, {"ref": "yaoeee/house-price-prediction", "kernel_id": "36922017"}, {"ref": "lucagiunti/notebook6c44536e2f", "kernel_id": "36513917"}, {"ref": "kheemchandra/feature-engineering-for-house-prices-1853c6", "kernel_id": "36622496"}, {"ref": "shukawabata/simple-implementation-of-automl", "kernel_id": "36607519"}, {"ref": "shubhamzoro/house-price", "kernel_id": "36133396"}, {"ref": "kasperlindmark/gb-housing", "kernel_id": "36341347"}, {"ref": "masatgo/house-price-predict-baseline", "kernel_id": "36797714"}, {"ref": "masatgo/house-price-predict-modify-baseline", "kernel_id": "36825623"}, {"ref": "tyriquehagan/h-p-p-random-forest", "kernel_id": "36517656"}, {"ref": "tyriquehagan/h-p-p-xg-boosting", "kernel_id": "36519194"}, {"ref": "tyriquehagan/h-p-p-linear-regression", "kernel_id": "36520468"}, {"ref": "oguzozturkk/revenue-ai-case-study", "kernel_id": "36314809"}, {"ref": "ocanepouilly/la2-2023-maison-op", "kernel_id": "36845280"}, {"ref": "lorthioirthomas/house-prices-thomas-lorhioir", "kernel_id": "36845412"}, {"ref": "vincentgengembre/boston", "kernel_id": "36941410"}, {"ref": "mathieumaes/la2-2023-house-prices-mm", "kernel_id": "36845263"}, {"ref": "mymi26/house-price-mb", "kernel_id": "36845250"}, {"ref": "mathieulareu/la2-2023-maison-lm", "kernel_id": "36845247"}, {"ref": "locmouquet/la2-house-price-lm", "kernel_id": "36845268"}, {"ref": "aleclercq/ig2i-house-price", "kernel_id": "36845261"}, {"ref": "pedritow/la2-2023-house-regression-ph", "kernel_id": "36845310"}, {"ref": "thoduchamps/la2-2023-th-o-duchamps-house-prices", "kernel_id": "36845272"}, {"ref": "alisselisss/notebook4ed1e2e4d2", "kernel_id": "36772235"}, {"ref": "nicolasnohi/co3519-ai-coursework", "kernel_id": "36960219"}, {"ref": "maartenoudijk/ee2ml1-w8-matthijs-langenberg-maarten-oudijk", "kernel_id": "36928840"}, {"ref": "stefankort1410/ml-endterm-sarhoz-stefan", "kernel_id": "36941642"}, {"ref": "timvandenakker/joep-aantjes-tim-van-den-akker", "kernel_id": "36957420"}, {"ref": "siljawalenius/ml-final-silja-rutger", "kernel_id": "36959594"}, {"ref": "glebmikh/ds58-catboost-houses", "kernel_id": "37937686"}, {"ref": "anasfullstack/house-price-predictions", "kernel_id": "37066813"}, {"ref": "aadishchopra/housingpredictions", "kernel_id": "37886606"}, {"ref": "rafi03/regression", "kernel_id": "37161225"}, {"ref": "shashireena/non-parametric-regression-kde-sklearn", "kernel_id": "37776509"}, {"ref": "ryzhokhina/house-prices-prediction-using-tfdf", "kernel_id": "37191789"}, {"ref": "qq610396646/ensemble-house-price-models", "kernel_id": "37484471"}, {"ref": "chiranjeevisrinivas/forecasting-house-prices-with-random-forest-in-r", "kernel_id": "37106647"}, {"ref": "avdanina11/housepriceprediction-02-2023", "kernel_id": "37504454"}, {"ref": "fuelnow/house-prices-regression", "kernel_id": "37435628"}, {"ref": "aykhanpy/house-price-prediction", "kernel_id": "37156183"}, {"ref": "averma111/pytorch-house-price", "kernel_id": "37678562"}, {"ref": "averma111/house-price-pytorch-v1", "kernel_id": "37629895"}, {"ref": "averma111/houseprice-ridge-lasso-and-randomforest", "kernel_id": "37174920"}, {"ref": "image69of69pie/automated-hyperparameter-tuning", "kernel_id": "37657352"}, {"ref": "lubomirk/house-prices", "kernel_id": "37249434"}, {"ref": "leylatl/house-price-prediction", "kernel_id": "37266793"}, {"ref": "fortinux/house-price-prediction-with-regression-models", "kernel_id": "37543945"}, {"ref": "batuhangurcan/from-begining-to-master-modelling", "kernel_id": "37675755"}, {"ref": "balupeddireddy/house-price-dataset-exploration", "kernel_id": "37192121"}, {"ref": "rizkygumelar/rizky-gumelar-atmaja-batch32-week7", "kernel_id": "37290947"}, {"ref": "omax2000/r-house-dataset", "kernel_id": "37846542"}, {"ref": "bipingouda/house-price-combining-multiple-models", "kernel_id": "37044632"}, {"ref": "kenjee/housing-prices-example-with-video-walkthrough", "kernel_id": "37840650"}, {"ref": "diegohurtadoo/house-price-prediction-from-scratch", "kernel_id": "37632392"}, {"ref": "emaryan/house-prices-prediction-aryan-emaminejad", "kernel_id": "37531679"}, {"ref": "dataanalojisan/super-simple-randomforest-baseline-notebook", "kernel_id": "37307831"}, {"ref": "ipekgamzeucal/house-price-prediction-all-in-one", "kernel_id": "37416287"}, {"ref": "maximdrejdink/house-price-competition", "kernel_id": "37082328"}, {"ref": "hodafaja/house-prices-advanced-regression-techniques", "kernel_id": "37046404"}, {"ref": "olemagnushiback/simple-intro-to-regression-with-neural-networks", "kernel_id": "37694072"}, {"ref": "luannguyenthanh299/house-prices-essential-eda", "kernel_id": "37125824"}, {"ref": "andrewchu1999/comp642-zc51-rw62-xt17", "kernel_id": "37922766"}, {"ref": "hosseinrezazadeh/houseprice-notebook", "kernel_id": "37429537"}, {"ref": "iamsouravbanerjee/unveiling-the-secrets-of-house-prices", "kernel_id": "37174102"}, {"ref": "pragunsrivastava/pragunsrivastava-week8-final", "kernel_id": "37906413"}, {"ref": "rhythmcam/pandas-basic-feature-target-point-function", "kernel_id": "37480182"}, {"ref": "rhythmcam/pandas-basic-check-unnecessary-columns", "kernel_id": "37000657"}, {"ref": "cclinnilcc/house-prices-ames-housing", "kernel_id": "37380294"}, {"ref": "jlin1206/notebookc6c1200f6f", "kernel_id": "37928340"}, {"ref": "jayasreekandregula/handling-missing-values-eda-part1", "kernel_id": "37797407"}, {"ref": "nidhishzawar/house-prices", "kernel_id": "37458981"}, {"ref": "igortrevelin/house-prices-prediction", "kernel_id": "37139270"}, {"ref": "sinanimek/house-price-prediction", "kernel_id": "37520147"}, {"ref": "pallavgupta2611/house-value-everything", "kernel_id": "37700780"}, {"ref": "sarahshehri/houseprices-sarahsaad", "kernel_id": "37074068"}, {"ref": "ayushsati/house-price-prediction", "kernel_id": "37059651"}, {"ref": "peterliuliu/cs6220-final-project-peter-liu", "kernel_id": "37043307"}, {"ref": "panitnunsuvannabun/csc531-house-price-prediction", "kernel_id": "37473644"}, {"ref": "tz3r0n4r/housing-prices-calculation-by-data-and-design-lab", "kernel_id": "37942314"}, {"ref": "mwaseem75/comprehensive-data-exploration-with-python", "kernel_id": "37633181"}, {"ref": "mwaseem75/practical-introduction-to-10-regression-algorithm", "kernel_id": "37296906"}, {"ref": "omercanaslihan/house-price-prediction-with-ml-regression-models", "kernel_id": "37293251"}, {"ref": "zeynepakda/house-prediction", "kernel_id": "37675493"}, {"ref": "nikitakrasnytskyi/compilation-of-best-kernels-top-8-2023", "kernel_id": "37744060"}, {"ref": "indraneeldey/house-price", "kernel_id": "37210089"}, {"ref": "shaymaanabilelsayed/notebook59c77945be", "kernel_id": "37387691"}, {"ref": "emmanueldjegou/bayesian-methods-for-health-insurance-cost", "kernel_id": "37895917"}, {"ref": "miclub4/house-prices-lineargam", "kernel_id": "37343426"}, {"ref": "joycetaoyu/house-price", "kernel_id": "37018920"}, {"ref": "stefansanchez26/feature-engineering-for-house-prices", "kernel_id": "37999794"}, {"ref": "aideesis/house-price-aidee", "kernel_id": "37598281"}, {"ref": "parinzee/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "37814007"}, {"ref": "abdelrahmanaboelnaga/house-prices-ml", "kernel_id": "37307616"}, {"ref": "rohullahakbari12/house-price-prediction", "kernel_id": "37973438"}, {"ref": "naesalang/house-price-pipelines-stacking-and-etc", "kernel_id": "37697482"}, {"ref": "godwinolagunju/house-prices-prediction-using-tfdf", "kernel_id": "37497521"}, {"ref": "chiyucheng/for-test-and-submission", "kernel_id": "37092394"}, {"ref": "mohamedafsal007/house-price-prediction", "kernel_id": "37061391"}, {"ref": "paulrowland/house-prices-tensor-flow", "kernel_id": "37081243"}, {"ref": "siddhudhole/house-price-prediction", "kernel_id": "37980471"}, {"ref": "ambrish1999/house-predictions-keras", "kernel_id": "37615655"}, {"ref": "inhngcn/ames-housing-plugging-in-the-model", "kernel_id": "37247229"}, {"ref": "vasiliie/house-price-neural-network", "kernel_id": "37840968"}, {"ref": "dianzeliu/blended-with-ensemble-and-linear-regression-model", "kernel_id": "37224222"}, {"ref": "hanzla121/house-price-analysis", "kernel_id": "37055135"}, {"ref": "talhademirr/house-price-reg", "kernel_id": "37125898"}, {"ref": "muhammadjulizar/end-to-end-house-prediction-with-98-r2-score", "kernel_id": "37072130"}, {"ref": "artemkhadris/house-prices-tensorflow-linreg", "kernel_id": "37302090"}, {"ref": "geoffreyarumba/dsci-508-hw-05-garumba1", "kernel_id": "37091905"}, {"ref": "smartcode2128/linear-regression-analysis", "kernel_id": "37814606"}, {"ref": "glsmhoolubayrak/house-prices-pycaret-regression", "kernel_id": "37317246"}, {"ref": "skylorun/house-prices", "kernel_id": "37556835"}, {"ref": "parisaprabsiang/high-score-predictions-for-house-prices", "kernel_id": "37380840"}, {"ref": "parisaprabsiang/house-prices-prediction-part-2-with-fe", "kernel_id": "37387438"}, {"ref": "parisaprabsiang/house-prices-prediction-using-tfdf", "kernel_id": "37416723"}, {"ref": "parisaprabsiang/for-best-score-use-this-notebook-up-vote", "kernel_id": "37419191"}, {"ref": "jessicauribe/house-prices-prediction-using-tfdf", "kernel_id": "37141572"}, {"ref": "vedatgul/house-prices-prediction", "kernel_id": "37435004"}, {"ref": "akshayhedau/house-prices-advanced-regression-techniques", "kernel_id": "37937038"}, {"ref": "iliyapavlov/houses-06-randomforestregressor", "kernel_id": "37301462"}, {"ref": "isaakmartin/dsci-408-hw-05-isaakmartin", "kernel_id": "37334238"}, {"ref": "oguzcaliskan/house-price-pred", "kernel_id": "37451091"}, {"ref": "s528661/s528661-house-price-practice", "kernel_id": "37822622"}, {"ref": "salihagorgulu/house-price-prediction-score-0-14", "kernel_id": "37357687"}, {"ref": "eraykorkmaz/house-price-prediction-machine-learning", "kernel_id": "37649846"}, {"ref": "ritikamalik2002/house-pridiction", "kernel_id": "37108854"}, {"ref": "ying2sun/ml-exercise-6-house-price-xgboost-kmeans", "kernel_id": "37568618"}, {"ref": "dishaasinghi/house-prices-regression", "kernel_id": "37213274"}, {"ref": "jssunmathi/house-price-prediction", "kernel_id": "37809910"}, {"ref": "dmitriydidenko/house-prices-stacking-models", "kernel_id": "37560755"}, {"ref": "sonikatiwari/notebook-house-price21", "kernel_id": "37228774"}, {"ref": "jssicapinto/house-price-prediction", "kernel_id": "37369666"}, {"ref": "mehmeturuc/house-price-prediction", "kernel_id": "37416390"}, {"ref": "ayshamohammedasif/dsci-508-hw-05-aasif1", "kernel_id": "37022700"}, {"ref": "jorgevald3s/dsci-408-hw-05-jvaldes1", "kernel_id": "37218329"}, {"ref": "serdarsozturk/house-price-analysis", "kernel_id": "37013255"}, {"ref": "kelseypuetz/dsci-408-hw-05-kelseypuetz", "kernel_id": "37124802"}, {"ref": "kennethcrussell/dsci-408-hw-05-krussell3", "kernel_id": "37334621"}, {"ref": "rjohnson27/dsci-408-hw-05-rjohnson27", "kernel_id": "37123134"}, {"ref": "johncayamanda/dsci-408-hw-05-jcayamanda1", "kernel_id": "37340715"}, {"ref": "vladimirtrifunovic/dsci-508-hw-05-vtrifunovic1", "kernel_id": "37130381"}, {"ref": "muhammadsaadnaveed/dsci-508-hw-05-mnaveed1", "kernel_id": "37420465"}, {"ref": "joshuacudney/dsci-408-hw-05-jcudney1", "kernel_id": "37123878"}, {"ref": "yuttaponga/k-nn-regression-clearly-explained", "kernel_id": "37372176"}, {"ref": "manavbakliwal/notebook8b8d23f0a7", "kernel_id": "37941158"}, {"ref": "manahiga/notebookc6778c6bf3", "kernel_id": "37349697"}, {"ref": "abhasmalguri/house-pricing", "kernel_id": "37214990"}, {"ref": "ahmedatef163/comprehensive-data-exploration-with-python", "kernel_id": "37380056"}, {"ref": "emirhanozturkoglu/emirhan-ozturkoglu-endterm", "kernel_id": "37622885"}, {"ref": "saabet/house-price-predictions", "kernel_id": "37501398"}, {"ref": "victoryjzy/house-price-prediction-v1-0", "kernel_id": "37271278"}, {"ref": "victoryjzy/house-price-prediction-v2", "kernel_id": "37589397"}, {"ref": "rishithasrivastav/dsci-508-hw-05-frishitha1", "kernel_id": "37395342"}, {"ref": "rohitkovuri/dsci-408-hw-05-krohit1", "kernel_id": "37394983"}, {"ref": "asadbek1121/housing-predict-price", "kernel_id": "37615832"}, {"ref": "mehmetisik/house-price-prediction", "kernel_id": "37449839"}, {"ref": "ahmedjamalmalik/house-prices", "kernel_id": "37617016"}, {"ref": "while11/have-a-try", "kernel_id": "37770351"}, {"ref": "mahendra2023/house-prices-regression1", "kernel_id": "37532838"}, {"ref": "nampham96/serious", "kernel_id": "37977831"}, {"ref": "ybg1999/house-predict-for-chinese-beginner", "kernel_id": "37079464"}, {"ref": "pavanpyla/advanced-house-price-prediction", "kernel_id": "37069293"}, {"ref": "kadalimounikamehar/house-xgbpredict", "kernel_id": "37986554"}, {"ref": "bafdork/house-prices", "kernel_id": "37975626"}, {"ref": "razmalin/kagglebdhouse-leti", "kernel_id": "37317991"}, {"ref": "kiankii/house-price-advanced-regression-techniques", "kernel_id": "37259474"}, {"ref": "denct0506/house-prices-prediction-using-tfdf", "kernel_id": "37223048"}, {"ref": "chriscliff85/regression-housing-data", "kernel_id": "37052538"}, {"ref": "uzareen/house-price-prediction-industrial-attachment", "kernel_id": "37494850"}, {"ref": "frederikschiepers/house-prices-predict-week-8", "kernel_id": "37616760"}, {"ref": "baramasalmeh/final-bara-muhammad", "kernel_id": "37130822"}, {"ref": "baramasalmeh/summarized-final", "kernel_id": "37837706"}, {"ref": "guangranran/ee2ml1-endterm-house-price", "kernel_id": "37084046"}, {"ref": "visvignesh/hyperband-optimization-one-hot-encoded-all", "kernel_id": "37089530"}, {"ref": "visvignesh/prediction-using-continuous-valued-columns", "kernel_id": "37016827"}, {"ref": "timqqu/notebook-timq", "kernel_id": "37006932"}, {"ref": "izdiharfazrianti/may-3-advanced-regression", "kernel_id": "37845996"}, {"ref": "x5571030/notebook37b94887ea", "kernel_id": "37725596"}, {"ref": "rickhelmer/house-prices-predict-week-8", "kernel_id": "37069760"}, {"ref": "jortkuiper/jort-fimme-week8", "kernel_id": "37071285"}, {"ref": "thomasritmeester/endterm-assignment-tijn-bakkum-thomas-ritmeester", "kernel_id": "37118282"}, {"ref": "mandmdatascience/houseprices-mandm", "kernel_id": "37203629"}, {"ref": "mohammedtaractaruva/house-prices-prediction-using-tfdf", "kernel_id": "37131823"}, {"ref": "ernest00/house-prices", "kernel_id": "37992907"}, {"ref": "lukabrown/gradient-boosting", "kernel_id": "37670758"}, {"ref": "mohammedalbloshii/house-price-prediction-regression-model-scratch", "kernel_id": "37294952"}, {"ref": "xysserena/house-price-submission", "kernel_id": "37384550"}, {"ref": "amritraj1296/house-prices-with-ensemble-technique", "kernel_id": "37971585"}, {"ref": "amritraj1296/linear-regression", "kernel_id": "37973336"}, {"ref": "coenbuitink/week8-project-ml23", "kernel_id": "37581687"}, {"ref": "kevinwanglincai/final-project-cc", "kernel_id": "37884977"}, {"ref": "diana1234567890/house-pricing-endterm", "kernel_id": "37720566"}, {"ref": "adnaneacudad/testversie-ml", "kernel_id": "37827747"}, {"ref": "adnaneacudad/week8-assignment-adnane-acudad-and-akram-chakrouni", "kernel_id": "37840749"}, {"ref": "brechtgoethals/house-price-calculation-methods-for-beginners", "kernel_id": "37773339"}, {"ref": "bjornbucksch1/bjornbucksch-house-prices", "kernel_id": "37786274"}, {"ref": "bjornbucksch1/bjornbucksch-house-prices-nn", "kernel_id": "37959188"}, {"ref": "abdelrhmanahmed1/regression-models-for-house-price-prediction", "kernel_id": "37958574"}, {"ref": "jacondio/final-project-ml", "kernel_id": "37800301"}, {"ref": "etuinstra/week8-project-ml23", "kernel_id": "37870769"}, {"ref": "ronifami/house-price-stacked-regression-top-3", "kernel_id": "38848719"}, {"ref": "sangeetha007/sangeethaver1", "kernel_id": "38565220"}, {"ref": "xpehutta/house-price-all-you-need-to-know", "kernel_id": "38893775"}, {"ref": "adnanzaidi/learn-house-prices-prediction-using-keras", "kernel_id": "38802049"}, {"ref": "blake058/housing-price-data-product", "kernel_id": "38667542"}, {"ref": "dellalkhaled/storing-dataframes-in-one-excel", "kernel_id": "38547818"}, {"ref": "movich/houseprice-gmc", "kernel_id": "38085949"}, {"ref": "isaacdbc/house-predictions-analyse-predictive", "kernel_id": "38391328"}, {"ref": "kunlee21/housepricesedaensembleprediction", "kernel_id": "38659154"}, {"ref": "cabo1234/first-project-after-learning-python-for-1-month", "kernel_id": "38659883"}, {"ref": "rishabhm76/house-prices-exploring-different-algorithms", "kernel_id": "38027762"}, {"ref": "ayushmehra/house-price-feature-engineering", "kernel_id": "38536782"}, {"ref": "pavelgordeychuk/house-prices-forecast-with-random-forest", "kernel_id": "38702818"}, {"ref": "luccacastelli/house-prices-prediction-with-python", "kernel_id": "38980261"}, {"ref": "mathersonantonio/notebook58f46eeba3", "kernel_id": "38745916"}, {"ref": "diegohurtadoo/house-price-prediction-top-12-leaderboard", "kernel_id": "38457637"}, {"ref": "krishnaphalgun/cs675-project2-ipynb", "kernel_id": "38322277"}, {"ref": "nathanbitu/top-12-my-approach-to-house-price-regression", "kernel_id": "38526483"}, {"ref": "harvysim/house-prices-regression-case-study", "kernel_id": "38315767"}, {"ref": "ramakantvaidya12/housing-price-prediction", "kernel_id": "38628659"}, {"ref": "nicolasluhanko/notebook7eb93f07fc", "kernel_id": "38965012"}, {"ref": "mohamedabdalgwad/house-prices-prediction-using-tfdf", "kernel_id": "38272641"}, {"ref": "shefalishettyy/house-price-prediction", "kernel_id": "38433138"}, {"ref": "olexandrdidyk/prediction", "kernel_id": "38407975"}, {"ref": "receplyasolu/house-price-prediction-model", "kernel_id": "38556979"}, {"ref": "rhythmcam/r-tidyverse-basic-devide-train-validation", "kernel_id": "38137556"}, {"ref": "binfeng2021/house-price-prediction-with-grid-search", "kernel_id": "38706117"}, {"ref": "jackrpeabody/cs-4650-project-5-jp", "kernel_id": "38335160"}, {"ref": "lucaswolff/houses-prices-prediction-feature-selection", "kernel_id": "38197715"}, {"ref": "noticslam/notebook91bc2ff03b", "kernel_id": "38418085"}, {"ref": "armoniumtsegaye/ensemble-of-ensembles", "kernel_id": "38131963"}, {"ref": "ositaudechukwu/predicting-house-prices-advanced-regression", "kernel_id": "38116590"}, {"ref": "alymohamed01/house-prices-eda-for-feature-engineering-practice", "kernel_id": "38674922"}, {"ref": "barikisuahmed/house-price-prediction", "kernel_id": "38022441"}, {"ref": "olivierraymond/houses-prices-prediction-stacked-regressions", "kernel_id": "38724118"}, {"ref": "phanendrasairam/house-price-prediction", "kernel_id": "38532694"}, {"ref": "majhiajay/house-price-prediction", "kernel_id": "38620015"}, {"ref": "melekgkgz/house-price-prediction", "kernel_id": "38059545"}, {"ref": "nicozimmermann/top-20-gradientboostingregressor-step-by-step", "kernel_id": "38026118"}, {"ref": "priyanshuganwani09/house-prices-advanced-regression-techniques", "kernel_id": "38658539"}, {"ref": "indraneeldey/house-prices-2nd-attempt", "kernel_id": "38384789"}, {"ref": "aaditshukla/house-prediction-using-deep-learning", "kernel_id": "38189369"}, {"ref": "saurabhkale212/house-prices-prediction-using-tfdf", "kernel_id": "38802246"}, {"ref": "josuehuaman/house-prices-advanc-regr-techniques-solution", "kernel_id": "38672595"}, {"ref": "vaibhavijhawar/project-5", "kernel_id": "38379539"}, {"ref": "eslamesam/house-prices", "kernel_id": "38171512"}, {"ref": "devajitpatar/housepriceprediction", "kernel_id": "38687394"}, {"ref": "yangle2912/house-eda-linreg-lasso-ridge", "kernel_id": "38715864"}, {"ref": "onepabs/house-prices-competition-using-sklearn-linear-reg", "kernel_id": "38524068"}, {"ref": "elviskiilu/housing-prices", "kernel_id": "38641733"}, {"ref": "galdruker/task-2", "kernel_id": "38956579"}, {"ref": "waalbannyantudre/house-prices", "kernel_id": "38949430"}, {"ref": "ashx010/house-price-data-with-deep-learning", "kernel_id": "38945570"}, {"ref": "ashrafulhaquesifat/house-price-regression", "kernel_id": "38803535"}, {"ref": "terhuichee/house-price-prediction-with-low-rmse-value", "kernel_id": "38395448"}, {"ref": "rithikgoel/cs4650-pr-5", "kernel_id": "38374410"}, {"ref": "kondetisandeep/house-price-advanced-regression-techniques", "kernel_id": "38939675"}, {"ref": "dhiebtarak/house-prices-using-catboostregressor", "kernel_id": "38331906"}, {"ref": "jonsjimnezgil/tfm-m-ster-big-data-y-data-science-ucm", "kernel_id": "38267195"}, {"ref": "adityaravi2/house-prices-advanced-regression-techniques", "kernel_id": "38189509"}, {"ref": "hamzaelmouddane/housepriceprediction-feature-analytics", "kernel_id": "38086580"}, {"ref": "actuallyrune/novice-s-approach-on-saleprice-s", "kernel_id": "38769477"}, {"ref": "aashitagrawal/eda-randomforest-housing-price-advanced", "kernel_id": "38765466"}, {"ref": "vahidsharifi76/house-price-python-uog", "kernel_id": "38018381"}, {"ref": "yoonjuhan/kaggle-house", "kernel_id": "38962577"}, {"ref": "jaobernardo/praticando-competion-casa", "kernel_id": "38026671"}, {"ref": "erdemerzurumlu/house-predict", "kernel_id": "38308563"}, {"ref": "wygggg/house-prices-advanced-regression-techniques", "kernel_id": "38517077"}, {"ref": "tawfikelmetwally/house-price-competition", "kernel_id": "38525514"}, {"ref": "naziakamali/housing-price-eda", "kernel_id": "38676580"}, {"ref": "yousefimam2001/a2hy2-team", "kernel_id": "38840598"}, {"ref": "lukastaylor2/house-prices-catboost-hyperparameter-tune-12743", "kernel_id": "38769617"}, {"ref": "lukastaylor2/house-prices-tensorflow-random-forest-autotuner", "kernel_id": "38712454"}, {"ref": "lukastaylor2/house-prices-tfdf-gbt-tuner-15892", "kernel_id": "38712761"}, {"ref": "lukastaylor2/house-prices-quick-lasso-prediction", "kernel_id": "38683366"}, {"ref": "minalijain/regression-house-price-prediction", "kernel_id": "38946363"}, {"ref": "pablo94/house-prices-with-deep-statistical-analysis", "kernel_id": "38767994"}, {"ref": "berkinbahar/house-price-prediction-ames-housing-dataset", "kernel_id": "38858828"}, {"ref": "elifbusepurut/miuul-proje", "kernel_id": "38482278"}, {"ref": "shiwanjalikashid/house-price-prediction-linear-regression-model", "kernel_id": "38512733"}, {"ref": "vishalsingh55/handling-missing-data", "kernel_id": "38204886"}, {"ref": "vishalsingh55/data-cleaning", "kernel_id": "38230806"}, {"ref": "abdullah7aled/house-prices-w-xgboost", "kernel_id": "38303310"}, {"ref": "akonkk/house-prediction-visualisations", "kernel_id": "38995829"}, {"ref": "taegeunlim/boston-house-price", "kernel_id": "38049534"}, {"ref": "abdelrhmandemo/house-prices-advanced-regression-v2", "kernel_id": "38206490"}, {"ref": "typesdigital/fork-of-may-14th-advanced-regression-notebook", "kernel_id": "38473050"}, {"ref": "an21mukhin/house-prices-lasso-solution", "kernel_id": "38442203"}, {"ref": "unlualperen/house-prices-advanced-regression-with-xgboost", "kernel_id": "38042410"}, {"ref": "qintarafazanurzafira/cheatsheet-70-ggplot-charts", "kernel_id": "38505815"}, {"ref": "mueid20/house-price-predict-4d273f", "kernel_id": "38257574"}, {"ref": "sawyerredstone/house-price-prediction-model", "kernel_id": "38291655"}, {"ref": "oj1010/notebook121718aee6", "kernel_id": "38246649"}, {"ref": "pscavejack/notebooka7e00dab02", "kernel_id": "38339188"}, {"ref": "jackbui/house-estimate", "kernel_id": "38372032"}, {"ref": "wenboli123789/house-prediction", "kernel_id": "38373469"}, {"ref": "jacobzheng/notebookca3d7676d8", "kernel_id": "38373436"}, {"ref": "owenou0124/house-prices-group", "kernel_id": "38374252"}, {"ref": "imih3na/competition-housepricesprediction-tfdf", "kernel_id": "38465804"}, {"ref": "fatmaelraey/simple-multiple-linear-regression-with-perceptron", "kernel_id": "38765831"}, {"ref": "kareemnasser/house-price", "kernel_id": "38646240"}, {"ref": "anayoonfariadelima/modelos-de-machine-learning", "kernel_id": "38749288"}, {"ref": "fiftythirtyfour/house-prices-linear-ridge-0-14484", "kernel_id": "38675034"}, {"ref": "pabloduenas/house-prices-challenge", "kernel_id": "38376047"}, {"ref": "ahishamwahono/preprocessing-dataset-group-1", "kernel_id": "38951480"}, {"ref": "ibnubfarrel/group-final-project-smart-env", "kernel_id": "38954339"}, {"ref": "kalistahamad/house-prices-prediction-final-version", "kernel_id": "38378216"}, {"ref": "jamessslee/housepricepridiction-ipynb", "kernel_id": "38596232"}, {"ref": "at1and/house-predict", "kernel_id": "38966101"}, {"ref": "thomasdeckert/house-price-stacked-regression-forked-edited", "kernel_id": "38728324"}, {"ref": "mcjeong95/house-pricing-analysis-model", "kernel_id": "38051139"}, {"ref": "syakiraghinamaulina/house-prices-simple-linear-regression", "kernel_id": "38427803"}, {"ref": "baireddypranayreddy/alexander", "kernel_id": "38882589"}, {"ref": "lirongo/exercise-2-liron", "kernel_id": "38197836"}, {"ref": "galashkenazi/ml-assignment-2-gal-ashkenazi", "kernel_id": "38111671"}, {"ref": "phoolore/house-price-prediction", "kernel_id": "38461704"}, {"ref": "sydneyjohnsonni/house-prices", "kernel_id": "38244570"}, {"ref": "eduardomarinho44/house-pricing-competition", "kernel_id": "38747628"}, {"ref": "madmax2003/house-prices-catboost-simple-solution-score-0-129", "kernel_id": "38116687"}, {"ref": "ormoshe20/house-prices", "kernel_id": "38764855"}, {"ref": "denisbhaikathiriya/house-prices-prediction-advanced-regression", "kernel_id": "38294013"}, {"ref": "abhijitsinghjowhari/assignment-1-abhijit-singh-jowhari-27-05-23", "kernel_id": "38844417"}, {"ref": "eddiewest/notebook7020afa4e5", "kernel_id": "38345515"}, {"ref": "pierlorenzoperuzzo/cs4650-project-5", "kernel_id": "38175155"}, {"ref": "abdulrahmanatef/house-prices-advanced-regression-techniques", "kernel_id": "38920557"}, {"ref": "laparicio/house-prices-top-3", "kernel_id": "38762053"}, {"ref": "laparicio/easy-approach-for-a-top10-score", "kernel_id": "38281266"}, {"ref": "hur4u2ugmailcom/r-t1-4-expected-questions-2", "kernel_id": "38631941"}, {"ref": "cleydisondourado/notebookd73a8a8af9", "kernel_id": "38853124"}, {"ref": "taiyokaggle/random-forest-houseprice", "kernel_id": "38247735"}, {"ref": "adnaneacudad/ilyaas-shousha-week8-project-ml233", "kernel_id": "38076426"}, {"ref": "hfding/1033200118dhf", "kernel_id": "38670709"}, {"ref": "dmitriygakh/house-prices-prediction-noval-tfdf-cmsp", "kernel_id": "38654648"}, {"ref": "ryuheitakanaka/tkn-delete-with-shap", "kernel_id": "38840784"}, {"ref": "ryuheitakanaka/tkn-optuna", "kernel_id": "38832498"}, {"ref": "ryuheitakanaka/tkn-baseline", "kernel_id": "38828352"}, {"ref": "ryuheitakanaka/tkn-ensemble-lgbm-xgboost-catboost", "kernel_id": "38892443"}, {"ref": "ryuheitakanaka/tkn-lgbm2", "kernel_id": "38879024"}, {"ref": "himashisbiswas/my-approach-to-get-into-top-10", "kernel_id": "38507617"}, {"ref": "mizoisho/0515-houseprice-rf", "kernel_id": "38530657"}, {"ref": "mizoisho/0515-houseprice-xgboost", "kernel_id": "38544324"}, {"ref": "ilyaas75/ilyaas-shousha-week8-project-ml23", "kernel_id": "38029629"}, {"ref": "billuu/house-prices-3", "kernel_id": "38703771"}, {"ref": "billuu/house-prices-fixes", "kernel_id": "38561281"}, {"ref": "muhammetik/housing-price-eda", "kernel_id": "38806069"}, {"ref": "bagusvalentinoo/predict-house-sale-price-using-catboost", "kernel_id": "38157936"}, {"ref": "ilareen/house-prices-predictions", "kernel_id": "38854575"}, {"ref": "jeeeunmandu/house-price", "kernel_id": "38943841"}, {"ref": "grassjelley/cheatsheet-70-ggplot-charts", "kernel_id": "38480094"}, {"ref": "grassjelley/cheatsheet-70-ggplot-charts-565a91", "kernel_id": "38536801"}, {"ref": "mjpatino/simple-linear-regression-concepts", "kernel_id": "38529882"}, {"ref": "weichens/prediction-with-blend-model", "kernel_id": "38797600"}, {"ref": "dehamiitk/notebookf6147746d6", "kernel_id": "38840561"}, {"ref": "dilbarsinghlamba/house-prices-advanced-regression-techniques", "kernel_id": "38914963"}, {"ref": "namelesswonder/housing-model", "kernel_id": "38892771"}, {"ref": "sankalpm/housing-prices-using-sklearn", "kernel_id": "38958898"}, {"ref": "hubertmostek/notebook176582617c", "kernel_id": "38974945"}, {"ref": "ajaysadhu/top-33-step-by-step-guide-with-explanation", "kernel_id": "39577914"}, {"ref": "xiefei/fork-of-02-house", "kernel_id": "39133257"}, {"ref": "xiefei/fork2-of-02-house-2", "kernel_id": "39144304"}, {"ref": "funxexcel/3-ipba15-missing-and-transformation", "kernel_id": "39473319"}, {"ref": "krishnaraj30/scatterplot-visualization-correlation-matplotlib", "kernel_id": "39742477"}, {"ref": "krishnaraj30/ensemble-stacked-regressions-xgboost-lightgbm", "kernel_id": "39397393"}, {"ref": "movich/house-price-modelsbenchmark-gmc", "kernel_id": "39381658"}, {"ref": "derekxue/house-prices-prediction-using-tfdf", "kernel_id": "39045040"}, {"ref": "thymongosselink/a-short-tutorial-in-r-easy-start-with-base-r", "kernel_id": "39305746"}, {"ref": "gauthamupadhyaya/housing-price-predictions-advanced", "kernel_id": "39576363"}, {"ref": "oswaldomezaleon/data-exploration-some-rant-about-stats-memes", "kernel_id": "39201317"}, {"ref": "nicholaskarlson/comprehensive-data-exploration-with-python-v1", "kernel_id": "39761749"}, {"ref": "timothemazard/house-prices-regression", "kernel_id": "39596781"}, {"ref": "danb91/optimized-tfdf-kerastuner-nn", "kernel_id": "39383263"}, {"ref": "satzil/house", "kernel_id": "39210496"}, {"ref": "raziehdelavar/housing-sale-price-prediction", "kernel_id": "39383186"}, {"ref": "vikaschauhan734/house-price-prediction-model-by-gridsearchcv", "kernel_id": "39556904"}, {"ref": "user7777777/house-prices-advanced-regression-techniques", "kernel_id": "39446607"}, {"ref": "ranjithkacharya/house-price-prediction-using-xgbregressor", "kernel_id": "39600996"}, {"ref": "kazahkshogun/linreg-boosting", "kernel_id": "39418966"}, {"ref": "chetanp7970/house-price", "kernel_id": "39689549"}, {"ref": "vivekiet22/house-prices-prediction-via-tfdf", "kernel_id": "39781055"}, {"ref": "suraj520/detailed-analysis-towards-predicting-house-price", "kernel_id": "39286884"}, {"ref": "raghavgarg12/house-price-regression-baseline", "kernel_id": "39983068"}, {"ref": "numustafa/notebook225446ceef", "kernel_id": "39537148"}, {"ref": "basemmulla/ml-hw2", "kernel_id": "39485159"}, {"ref": "hemanthpingali/house-pricing-gridsearchcv-and-xgbooster", "kernel_id": "39483214"}, {"ref": "abdulkhadarn/house-price-advanced-regression", "kernel_id": "39149411"}, {"ref": "lakrasmriti/house-prices-using-gradient-boosting", "kernel_id": "39296414"}, {"ref": "mahendra77/house-price-prediction", "kernel_id": "39016866"}, {"ref": "ayrgthonsoraca/saleprice-prediction-xgboost", "kernel_id": "39215799"}, {"ref": "onehundreddays/house-prices-top-100-score", "kernel_id": "39446420"}, {"ref": "sreeharicr/house-price-prediction", "kernel_id": "39148620"}, {"ref": "mostafagorgani/neural-networks-for-predicting-house-prices", "kernel_id": "39928459"}, {"ref": "hmin123/final-part2-regression", "kernel_id": "39433262"}, {"ref": "ylogicmachine/fork-of-home-price-predict", "kernel_id": "39952130"}, {"ref": "mkqwisoklw/house-price-analysis", "kernel_id": "39934579"}, {"ref": "kacperchmura/machinelearning-analyse", "kernel_id": "39099786"}, {"ref": "ajieraflipamungkas/house-prices-xgboost", "kernel_id": "39426352"}, {"ref": "leemoodong/py-t1-4-expected-questions", "kernel_id": "39222730"}, {"ref": "wladeemir/june-23-advanced-regression-notebook", "kernel_id": "39445791"}, {"ref": "siddhishah777/xg-boost-housing-price", "kernel_id": "39930599"}, {"ref": "surajsskadam/house-prices-prediction-regression-techniques", "kernel_id": "39684197"}, {"ref": "hamzaelmouddane/housepriceprediction-dnn-keras-ipynb", "kernel_id": "39071624"}, {"ref": "hamzaelmouddane/t2-house", "kernel_id": "39076256"}, {"ref": "actuallyrune/no-xgboost-but-still-top-150", "kernel_id": "39275720"}, {"ref": "ashishjagdishsharma/house-prices-advanced-regression-techniques", "kernel_id": "39425111"}, {"ref": "vaigood/pp-final-3-3-house-prices", "kernel_id": "39433436"}, {"ref": "cephalo/housepricedetection", "kernel_id": "39090291"}, {"ref": "marcelversiani/house-prices-csi", "kernel_id": "39606791"}, {"ref": "alexdrozd/500-100-score-0-11565", "kernel_id": "39214109"}, {"ref": "kylwood/housing-price-prediction", "kernel_id": "39554051"}, {"ref": "keerthanasujitha/house-price", "kernel_id": "39072103"}, {"ref": "mariamgarnes/exam-house-prices-with-linear-regression", "kernel_id": "39628034"}, {"ref": "iluyza/asylgareeva", "kernel_id": "39185071"}, {"ref": "victorpaschoalini/eda-project-house-prices-competition-1-of-3", "kernel_id": "39307016"}, {"ref": "victorpaschoalini/classification-project-house-prices-comp-2-of-3", "kernel_id": "39344724"}, {"ref": "victorpaschoalini/regression-project-house-prices-comp-3-of-3", "kernel_id": "39346206"}, {"ref": "buneshathankar25/house-price-prediction-using-advanced-regression", "kernel_id": "39502691"}, {"ref": "thimote/final-assignment-krummenacker-timothe-house-prices", "kernel_id": "39367189"}, {"ref": "schizo3/house-prices-prediction-regression-and-cv", "kernel_id": "39941042"}, {"ref": "nikitauglanitsa/housing-prediction-xgboost", "kernel_id": "39807653"}, {"ref": "srujanwadkar/notebook57604615eb", "kernel_id": "39103091"}, {"ref": "anantkhemka/house-prices-competition-submission", "kernel_id": "39961798"}, {"ref": "kirtanmatalia26/house-prices-prediction-using-gradientboosting", "kernel_id": "39702581"}, {"ref": "samfouad/linear-regression-ames-dataset", "kernel_id": "39173990"}, {"ref": "sujan0999/notebook17f0cabc6b", "kernel_id": "39835863"}, {"ref": "jahidhossen/house-price-prediction-using-multiple-algorithms", "kernel_id": "39958328"}, {"ref": "chandan1910/python-missing-and-transformation", "kernel_id": "39609855"}, {"ref": "chandan1910/python-missing-and-transformation-2", "kernel_id": "39686157"}, {"ref": "michaelkogan4/house-prices-michael-kogan", "kernel_id": "39555779"}, {"ref": "arcielbaez/feature-engineering-for-house-prices", "kernel_id": "39542272"}, {"ref": "patthanawut/predict-house-prices", "kernel_id": "39782892"}, {"ref": "yeasiny71/eda-of-housing-price-and-model-random", "kernel_id": "39392679"}, {"ref": "lightonkalumba/house-prices-prediction-random-forest-regression", "kernel_id": "39917804"}, {"ref": "koyorobo/t2-4-house-prices-regression", "kernel_id": "39743009"}, {"ref": "marc36983/notebook494336da55", "kernel_id": "39155022"}, {"ref": "marc36983/houseprices-arvoredecis-o", "kernel_id": "39242856"}, {"ref": "coaxin1/house-price1", "kernel_id": "39827706"}, {"ref": "coaxin1/111111", "kernel_id": "39480523"}, {"ref": "billuu/house-prices-5", "kernel_id": "39281907"}, {"ref": "mirkszakali/house-prices", "kernel_id": "39969710"}, {"ref": "viniciusjmpereira/housepricing-csi", "kernel_id": "39552212"}, {"ref": "satoshisumiriko/notebook7e03700bc4", "kernel_id": "39244252"}, {"ref": "chunchaochen/house-price-prediction", "kernel_id": "39026757"}, {"ref": "cleydisonsilva/notebook0ca06a002c", "kernel_id": "39237780"}, {"ref": "cleydisonsilva/fork-of-notebook0ca06a002c", "kernel_id": "39239815"}, {"ref": "robertvvvvv/house-prices-ann-regressor-score-0-16471", "kernel_id": "39067924"}, {"ref": "robertvvvvv/house-prices-decissiontreeregressor-score-0-20486", "kernel_id": "39055912"}, {"ref": "robertvvvvv/house-prices-randomforestregressor-score-0-17844", "kernel_id": "39056805"}, {"ref": "tamoghnakumar/housing-prices", "kernel_id": "39265226"}, {"ref": "aravindpcoder/house-price-prediction", "kernel_id": "39134069"}, {"ref": "diyasaraf28/task1-housing-price", "kernel_id": "39063119"}, {"ref": "venkateshwarb/house-price-regression", "kernel_id": "39510893"}, {"ref": "jiahuiyu729/sklearn-randomforest-gradientboosting-regressor", "kernel_id": "39384160"}, {"ref": "dylandsi/housepricecomp-cleaning-rf-xgboost", "kernel_id": "39889514"}, {"ref": "dylandsi/cleaned-housepricecomp-train-csv-dataset", "kernel_id": "39932859"}, {"ref": "riyaa9/housing-price-2", "kernel_id": "39504832"}, {"ref": "mathieupelo/bigmath-house-prices-advanced-regression-techn", "kernel_id": "39340677"}, {"ref": "ishi236/notebookc3c260a16d", "kernel_id": "39274209"}, {"ref": "yongok/t2-4-house-prices-regression", "kernel_id": "39828700"}, {"ref": "madamhussainshah/madam-shah-house-predicted-prices", "kernel_id": "39858131"}, {"ref": "amarkolipe/function", "kernel_id": "39743840"}, {"ref": "muhammadirfan55/house-predicted-price-by-m-irfan-qau", "kernel_id": "39825916"}, {"ref": "muhammadirfan55/house-predicted-price-by-muhammad-irfan-from-qau", "kernel_id": "39808171"}, {"ref": "tristanjoubert/house-price-prediction-analyse-des-donn-es", "kernel_id": "39800088"}, {"ref": "tristanjoubert/house-price-prediction-choix-du-model", "kernel_id": "39822133"}, {"ref": "annielott/ames-housing-analysis", "kernel_id": "39803868"}, {"ref": "ayeshakhoja/notebook261767cbec", "kernel_id": "39920670"}, {"ref": "samaviaiftikhar/samavia-iftikhar-project", "kernel_id": "39966063"}, {"ref": "twinpilgrim/house-prices-detailed-features-blended-model", "kernel_id": "40392330"}, {"ref": "twinpilgrim/house-prices-basic-preprocessing-blended-model", "kernel_id": "40261459"}, {"ref": "pathoumieu/crossvalidation-ensembles-from-top-23-to-top-12", "kernel_id": "40872975"}, {"ref": "carlosjimenezdata/model-with-stats-applications", "kernel_id": "40705724"}, {"ref": "digital2go/notebookc8be23bae5", "kernel_id": "40489156"}, {"ref": "designermanjeet/house-prices-advanced-regression-techniques", "kernel_id": "40872883"}, {"ref": "bumnyeong/house-pricing-pytorch", "kernel_id": "40488784"}, {"ref": "baphometyr/simple-xgboost-house-prices", "kernel_id": "40190107"}, {"ref": "baphometyr/red-neuronal-simple-house-prices", "kernel_id": "40026173"}, {"ref": "mountain0jin/230709-titanic", "kernel_id": "40847988"}, {"ref": "yakini/quick-data-understanding", "kernel_id": "40040832"}, {"ref": "jimmyyeung/house-regression-beginner-catboost-top-2", "kernel_id": "40310621"}, {"ref": "sumbalzahraameen/finaltermprojectpart2-regression-02313042-fn", "kernel_id": "40352404"}, {"ref": "ramsesmdlc/house-prices-linear-regression-normal-equation", "kernel_id": "40184807"}, {"ref": "badreddineb/house-prices-prediction", "kernel_id": "40032710"}, {"ref": "rajatkumar30/linear-regression-r2-score-58", "kernel_id": "40092527"}, {"ref": "sudhirpsrathore/data-preprocessing-modelling-with-pipeline", "kernel_id": "40844323"}, {"ref": "siddharththakkar26/house-price-prediction-svr-xgboost-86", "kernel_id": "40216895"}, {"ref": "mahdiakrami88/house-price", "kernel_id": "40763430"}, {"ref": "ammarmashal/house-prices", "kernel_id": "40880792"}, {"ref": "eldarkhegay/house-price-eda-visualization-tensorflow", "kernel_id": "40272816"}, {"ref": "sabinakhadysy/feature-engineering-for-house-prices", "kernel_id": "40354214"}, {"ref": "eslamfouad/statistics-behind-forecasting-models", "kernel_id": "40320782"}, {"ref": "fazzie/pytorch-regression", "kernel_id": "40639912"}, {"ref": "rohitbarnwal8193/notebooka52eb65f3e", "kernel_id": "40400362"}, {"ref": "antonisraptakis/a-simple-model-for-predicting-the-house-prices", "kernel_id": "40397533"}, {"ref": "galalamr/eda-and-prediction-of-house-price-lr", "kernel_id": "40580879"}, {"ref": "soundwarrior/house-prices-prediction-using-tfdf", "kernel_id": "40707996"}, {"ref": "ritiknipane/house-prices-advanced-regression-techniques", "kernel_id": "40497386"}, {"ref": "saadali786/housing-price-prediction", "kernel_id": "40790493"}, {"ref": "lucasl37/project-2-case-2-house-prices", "kernel_id": "40901197"}, {"ref": "joongram1/t2-4-house-prices-regression", "kernel_id": "40237551"}, {"ref": "asmailabdulkarim/house-prices-advanced-regression-techniques", "kernel_id": "40771010"}, {"ref": "alexcaldarone/house-price-regression-tutorial", "kernel_id": "40694613"}, {"ref": "zgnbyktanr/house-prices-beginner-gradientboost", "kernel_id": "40903500"}, {"ref": "rahulsingh787/house-prices", "kernel_id": "40404296"}, {"ref": "kimjuhyun20171300/house-prices", "kernel_id": "40332989"}, {"ref": "jarullahkhan/house-price-prediction-competition-notebook", "kernel_id": "40732110"}, {"ref": "abbasdehghand/house-prices-prediction1", "kernel_id": "40054662"}, {"ref": "vasylchumachenko/1-house-prices-solution-top-1-edited", "kernel_id": "40164496"}, {"ref": "no0rulain/data-science-noor-ul-ain", "kernel_id": "40370333"}, {"ref": "no0rulain/datascience", "kernel_id": "40370347"}, {"ref": "resulmamiyev/house-price-regression", "kernel_id": "40410594"}, {"ref": "alirezanazari78/83-with-random-forest-advance-preprocessing", "kernel_id": "40016747"}, {"ref": "lusfernandotorres/wine-quality-eda-prediction-and-deploy", "kernel_id": "40975360"}, {"ref": "carlosgaravatti/random-forest", "kernel_id": "40767214"}, {"ref": "zhiyueli/house-price-regression", "kernel_id": "40306826"}, {"ref": "muhammadatef/advanced-house-prices", "kernel_id": "40011657"}, {"ref": "hardikarora24/housing-price-prediction", "kernel_id": "40686170"}, {"ref": "kapilnahariya/house-price-prediction", "kernel_id": "40227792"}, {"ref": "gunapro/introducing-dataguru-empowering-data-scientists", "kernel_id": "40450511"}, {"ref": "zhaoyangtian/my-work-on-housing", "kernel_id": "40482416"}, {"ref": "sarthakbhatore/notebookdae6ecba69", "kernel_id": "40540774"}, {"ref": "umarashraf914/regression-ai-final", "kernel_id": "40392086"}, {"ref": "dmitrybarsu/feature-extraction", "kernel_id": "40715775"}, {"ref": "titosanchez/ba-wids-team-rebecca", "kernel_id": "40296551"}, {"ref": "djkim0806/ai-assignment-final-02-02221033-kimdongjin", "kernel_id": "40386842"}, {"ref": "jacobnolandcyr/notebookb6ae6db9b6", "kernel_id": "40701658"}, {"ref": "golammostofas/house-prices-using-naive-bayes", "kernel_id": "40947550"}, {"ref": "fabrcioinoue/house-prices-regression", "kernel_id": "40634881"}, {"ref": "devajitpatar/houseprice", "kernel_id": "40764524"}, {"ref": "mustafasoner/house-prices-regression-with-neural-network", "kernel_id": "40773391"}, {"ref": "ahmedelbashir99/house-prices-random-forest-regressor", "kernel_id": "40017301"}, {"ref": "akihisawatanabe/mokumoku", "kernel_id": "40639145"}, {"ref": "akihisawatanabe/notebook-edit", "kernel_id": "40869328"}, {"ref": "akileshmahesh09/housing-price-predictor", "kernel_id": "40805067"}, {"ref": "ohagwucollinspatrick/housing-price-prediction-w-randomforest", "kernel_id": "40374107"}, {"ref": "ambitiondream/house-price-regression-baseline", "kernel_id": "40015741"}, {"ref": "jayantarsode/house-price-prediction-using-neural-networks", "kernel_id": "40707317"}, {"ref": "jovanchua/house-prices", "kernel_id": "40277598"}, {"ref": "ayushkumarroy/house-prices-advanced-regression-techniques", "kernel_id": "40926461"}, {"ref": "nadzeyalazerka/housing-final-exam", "kernel_id": "40013948"}, {"ref": "bagusakhlaq/house-prices-prediction-using-rf-gb-xgb", "kernel_id": "40276442"}, {"ref": "vasiliie/xgboost-with-tuned-parameters", "kernel_id": "40257176"}, {"ref": "fraserwtt/house-price-predictions", "kernel_id": "40662884"}, {"ref": "anaqiamir/house-price-prediction", "kernel_id": "40832823"}, {"ref": "ailashrafsakil/gradient", "kernel_id": "40581495"}, {"ref": "rohithreddy0920/all-reg-models-house-price-pred", "kernel_id": "40614088"}, {"ref": "fyz666666/house-prices-stacking-2-lgb-2-xgb-rf", "kernel_id": "40314476"}, {"ref": "ragaa5/house-price", "kernel_id": "40164258"}, {"ref": "stepanss/house-prices-begginer-top-7", "kernel_id": "40334863"}, {"ref": "atmadipgoswami/house-price-regression", "kernel_id": "40840300"}, {"ref": "rundalomary/house-pries-deep", "kernel_id": "40581840"}, {"ref": "srmd123/notebookaf1a85af97", "kernel_id": "40272896"}, {"ref": "davidriverac/housing-prices-prediction-using-sklearn", "kernel_id": "40632638"}, {"ref": "crxxom/house-price-prediction-pipeline-tuning-ensembling", "kernel_id": "40417931"}, {"ref": "liviniasaputra/ai02-final-exam-regression-livinia", "kernel_id": "40357325"}, {"ref": "fatulm/house-price-prediction", "kernel_id": "40695574"}, {"ref": "umerhamid/housingprice", "kernel_id": "40384899"}, {"ref": "armanrostami/house-price", "kernel_id": "40821057"}, {"ref": "jjh123579/house-price", "kernel_id": "40642424"}, {"ref": "shaxzoddavronov/house-price-prediction", "kernel_id": "40947456"}, {"ref": "hidozawa/notebook71e6fe4504", "kernel_id": "40639138"}, {"ref": "flingo/prediction-of-house-prices-using-rf-and-xgboost", "kernel_id": "40517198"}, {"ref": "obsidixn/advance-house-pricing-with-linear-regression", "kernel_id": "40816618"}, {"ref": "ebryhl/beginner-s-guide-to-feature-selection", "kernel_id": "40828409"}, {"ref": "francod/ames-iowa-home-price-predictions", "kernel_id": "40331086"}, {"ref": "arshjot123/house-price-regression", "kernel_id": "40412166"}, {"ref": "mokshbaweja/housepriceregression-variousmodels", "kernel_id": "40314096"}, {"ref": "agnijbiswas/house-price-prediction", "kernel_id": "40782398"}, {"ref": "ajaysankarmakkena/house-price-prediction", "kernel_id": "40694744"}, {"ref": "jeonghaso/fianl-house-mody5", "kernel_id": "40462349"}, {"ref": "jeonghaso/final-house14", "kernel_id": "40185856"}, {"ref": "bangminseon/finalexam-02-02321025", "kernel_id": "40364130"}, {"ref": "ehkim9580/final-02-house-prices-regression", "kernel_id": "40402451"}, {"ref": "ulfahdwikurniawati/ai02-final-project-2-ulfah-dwi-kurniawati", "kernel_id": "40379692"}, {"ref": "kimoonlee/ai-final-project-part02-regression-kimoonlee", "kernel_id": "40267883"}, {"ref": "yujinleeust/2023-ust-ai-final-part-2", "kernel_id": "40230800"}, {"ref": "danttis/lapping-free-solution-techniques", "kernel_id": "40212028"}, {"ref": "baghasadikusuma/house2", "kernel_id": "40642651"}, {"ref": "mdmhamudulhassan/final-project-regression-ii", "kernel_id": "40233538"}, {"ref": "jangjb/ai-finaltet-part2-kriso-jangjeongbin", "kernel_id": "40347518"}, {"ref": "khishigjargalg/2-regression", "kernel_id": "40303594"}, {"ref": "nguyenthikieuanh/final-exam-regression-anh-ntk", "kernel_id": "40370520"}, {"ref": "eunkyeomlee/final-2", "kernel_id": "40490791"}, {"ref": "nguyentrantuuyen/part2-final-project-uyen", "kernel_id": "40378772"}, {"ref": "afifahhanumamahoru/final2-regression-test", "kernel_id": "40182208"}, {"ref": "afifahhanumamahoru/final2-regression-by-02322028", "kernel_id": "40392907"}, {"ref": "sanggyupark/final-task-regression", "kernel_id": "40393804"}, {"ref": "jeongsojin/final-project2", "kernel_id": "40362011"}, {"ref": "sollveen/final-2", "kernel_id": "40234976"}, {"ref": "esheo0/2023-1-final-project-pt-02-kribb", "kernel_id": "40393571"}, {"ref": "seonhwajung/ai-final", "kernel_id": "40325125"}, {"ref": "kbskbsbs/ust-kbs-2", "kernel_id": "40350294"}, {"ref": "profwoo/ai-final-project2", "kernel_id": "40391826"}, {"ref": "jssiga/20230625-ai01-finalterm-part2", "kernel_id": "40188458"}, {"ref": "hanzla99/homework-3-part-2-hanzla-v05", "kernel_id": "40379256"}, {"ref": "jamessslee/housepredict-pca", "kernel_id": "40086301"}, {"ref": "jamessslee/randomforest", "kernel_id": "40109701"}, {"ref": "samahfetouh/exploratory-data-analysis-with-python", "kernel_id": "40831261"}, {"ref": "abhikalpsrivastava15/house-prices-kaggle", "kernel_id": "40629410"}, {"ref": "alisselisss/house-prices", "kernel_id": "40069283"}, {"ref": "maryamborzoo/house-price-prediction-using-regression-methods", "kernel_id": "40003948"}, {"ref": "natygarrido/notebook-house-prices", "kernel_id": "40069534"}, {"ref": "laskarpritam/house-price-lr-dt-rf-regression", "kernel_id": "40228803"}, {"ref": "sadmansabab/house-price-with-simple-model-using-sklearn-only", "kernel_id": "40640702"}, {"ref": "smilikasangam/houseprice-prediction-with-randomforestclassifier", "kernel_id": "40843402"}, {"ref": "shashanknecrothapa/simple-submission-advanced-regression", "kernel_id": "40212916"}, {"ref": "hackerlzh/house-prices-advanced-regression-techniques", "kernel_id": "40421258"}, {"ref": "ajax011/house-prices-prediction-using-tfdf", "kernel_id": "40714505"}, {"ref": "animonte/desafio-house-prices", "kernel_id": "40955912"}, {"ref": "winnpham/houseprices-data-exploration-and-modelling", "kernel_id": "40339649"}, {"ref": "darwinv/data-preprocessing-housing-price-predictions", "kernel_id": "40427935"}, {"ref": "shimaazizi/house-prices", "kernel_id": "40438153"}, {"ref": "salazhiev/linear-model-with-scikitlearn", "kernel_id": "40776307"}, {"ref": "clarechou/houseprices2", "kernel_id": "40364670"}, {"ref": "lucasnogueiracosta/csi-22-housing-prices", "kernel_id": "40983216"}, {"ref": "danishamrat/datasciproject", "kernel_id": "40294214"}, {"ref": "abdulwahabrana47/prediction-houses-prices", "kernel_id": "40934346"}, {"ref": "rosariequijano/notebookf9d5aa9db2", "kernel_id": "40558594"}, {"ref": "hamidrezashafaei/data-cleaning-presentation", "kernel_id": "40814708"}, {"ref": "furatbasel/house-prices", "kernel_id": "40519025"}, {"ref": "daigoyamamoto/house-prices-advanced-regression-techniques", "kernel_id": "40976855"}, {"ref": "tanejanikhil/notebook651d4a791b", "kernel_id": "40239850"}, {"ref": "hamdachehafida/notebook45734d05c8", "kernel_id": "40278890"}, {"ref": "tristanjoubert/house-prices-prediction-entra-nement-du-model-f", "kernel_id": "40123340"}, {"ref": "us1ama/usama-houseprice", "kernel_id": "40367049"}, {"ref": "hammadali4/hammad-zain-ds-submission", "kernel_id": "40370626"}, {"ref": "ahmedshujaabbasi/ahmed-shuja-abbasi-project", "kernel_id": "40371400"}, {"ref": "diyorarti/house-price-prediction-by-linear-regression", "kernel_id": "40394962"}, {"ref": "arshnoor7389/house-price-regression-baseline", "kernel_id": "40026019"}, {"ref": "tusharnarkhede/boston-house-prices-prediction", "kernel_id": "40326863"}, {"ref": "huongmainguyen/house-pricing-cat-boost-regressors", "kernel_id": "40265266"}, {"ref": "martinbutarbutar/aol-ml-linear-regression", "kernel_id": "40355649"}, {"ref": "gayathrirenga/house-prices", "kernel_id": "40175216"}, {"ref": "mutyayasaadjinugroho/houseprice-using-linear-regression", "kernel_id": "40437399"}, {"ref": "faisalmehmoods/learn-house-prices-prediction-faisalmehmoods", "kernel_id": "40928993"}, {"ref": "raymagic/notebook0b5b6fc40f", "kernel_id": "40780972"}, {"ref": "johnnynlp/notebook6c7325a2b4", "kernel_id": "40566819"}, {"ref": "tomasmarintorres/ml-house-prices", "kernel_id": "40255519"}, {"ref": "evwilson/housing-prices", "kernel_id": "40410047"}, {"ref": "niloypaultu/house-prices-kaggle", "kernel_id": "40671939"}, {"ref": "anhsirk21/house-prices-prediction-using-tfdf", "kernel_id": "40663271"}, {"ref": "salmanabidkhan/fork-of-ds-project", "kernel_id": "40373595"}, {"ref": "salmanabidkhan/ds-project", "kernel_id": "40372132"}, {"ref": "mvohra708/notebookd4962f544c", "kernel_id": "40669258"}, {"ref": "lin0224/notebook478ef923ce", "kernel_id": "40864277"}, {"ref": "tangyuanhaoyuan/week12", "kernel_id": "40989179"}, {"ref": "zhiwshi/notebook-house", "kernel_id": "40988342"}, {"ref": "sanjibanibiswas/linear-regression-case-study-house-prices", "kernel_id": "40568007"}, {"ref": "dddfrank/day3-assignment", "kernel_id": "40718365"}, {"ref": "jeswinbabu/advanced-regression-notebook", "kernel_id": "40852264"}, {"ref": "glebmikh/rui-numeric-target", "kernel_id": "41731809"}, {"ref": "ddmitry/baseline", "kernel_id": "41974106"}, {"ref": "govindarajand/comprehensive-data-exploration-with-python", "kernel_id": "41275831"}, {"ref": "manojajj/august2023-advance-regression-notebook", "kernel_id": "41995949"}, {"ref": "moumoni/advanced-house-price-prediction", "kernel_id": "41168657"}, {"ref": "iqraddfkldf/house-price-prediction-for-beginners", "kernel_id": "41319579"}, {"ref": "azimuthal01/2023-feature-selection", "kernel_id": "41897415"}, {"ref": "nikkitha8/outlier-detection-methodologies", "kernel_id": "41115991"}, {"ref": "joebeachcapital/10-step-eda-house-prices", "kernel_id": "41138210"}, {"ref": "joebeachcapital/house-prices-models", "kernel_id": "41253970"}, {"ref": "preethi777/house-price-prediction", "kernel_id": "41129373"}, {"ref": "m19111/house-prices-regression-techinque", "kernel_id": "41948679"}, {"ref": "juanconher/predicting-house-price-with-linear-regression", "kernel_id": "41593488"}, {"ref": "mactraxer/housepricerandomeforrestmy", "kernel_id": "41885401"}, {"ref": "radhakrishnanb/housing-prices-data-analysis", "kernel_id": "41372119"}, {"ref": "nickfecondo/buy-my-iowa-home", "kernel_id": "41797084"}, {"ref": "johnsmith44/catboost-super-basic-top-35-2-mins-read", "kernel_id": "41236104"}, {"ref": "johnsmith44/house-prices-from-start-to-finish-w-catboost", "kernel_id": "41768560"}, {"ref": "makotohamaura/notebook68e8a1c46d", "kernel_id": "41012249"}, {"ref": "habibirani/house-price-prediction", "kernel_id": "41555110"}, {"ref": "maiconserrao/house-prices-linear-regression", "kernel_id": "41164280"}, {"ref": "abdelrahmanhamdy88/houses-prices-pca", "kernel_id": "41856164"}, {"ref": "fisicraft/house-prices", "kernel_id": "41237986"}, {"ref": "tracyporter/ames-house-prices-lin-reg", "kernel_id": "41266477"}, {"ref": "franklinshih0617/house-pricing-random-forest-modelling", "kernel_id": "41173679"}, {"ref": "franklinshih0617/house-price-lgb", "kernel_id": "41406404"}, {"ref": "muratgulcan/house-price-prediction", "kernel_id": "41808189"}, {"ref": "vasilivna/house-price-prediction", "kernel_id": "41123832"}, {"ref": "abhishekkrchoudhary/notebookd2411a5f79", "kernel_id": "41129965"}, {"ref": "yonasafeworki/notebook4d68c34cec", "kernel_id": "41645277"}, {"ref": "qg23401/house-price-prediction", "kernel_id": "41834391"}, {"ref": "mahifar/house-price-predict", "kernel_id": "41177921"}, {"ref": "daniillee/notebook8d494f7dd8", "kernel_id": "41137594"}, {"ref": "alicanpayasli/88-cv-testscore", "kernel_id": "41403745"}, {"ref": "warinthonthongkaew/house-price-prediction-with-randomforestregressor", "kernel_id": "41190864"}, {"ref": "sadicesur/house-price-prediction", "kernel_id": "41964081"}, {"ref": "meeraajayakumar/house-price-prediction", "kernel_id": "41420675"}, {"ref": "shubhamgupta012/xgboost", "kernel_id": "41179913"}, {"ref": "fatcat08/assignment1", "kernel_id": "41580332"}, {"ref": "khansoledhiraj/house-price-prediction", "kernel_id": "41085676"}, {"ref": "nikolasmargos/fork-of-house-price-xgbregressor-shap-grid-hyperop", "kernel_id": "41606218"}, {"ref": "livechratnarajah/house-prices-advanced-regression-techniques", "kernel_id": "41813922"}, {"ref": "swathiunnikrishnan/house-prices-prediction-regression", "kernel_id": "41226537"}, {"ref": "ramaafayez/full-housepricing", "kernel_id": "41823232"}, {"ref": "anuppainuly/house-price-regression", "kernel_id": "41900220"}, {"ref": "angeltushev/house-prices-solution", "kernel_id": "41561437"}, {"ref": "rajatraj0502/house-prices-advanced-regression-techniques", "kernel_id": "41398741"}, {"ref": "amroaskar/house-prices", "kernel_id": "41271987"}, {"ref": "tirkeydivyanshu/house-price-prediction", "kernel_id": "41760084"}, {"ref": "nidhis0lanki26/house-prices-prediction-using-tfdf", "kernel_id": "41593990"}, {"ref": "nazemsukhon/regression-root-mean-logarithmic-error-0-21736", "kernel_id": "41530884"}, {"ref": "rolerik/house-prices-experiment", "kernel_id": "41812842"}, {"ref": "anthimostsirigotis/2nd-try-notebookad17422525", "kernel_id": "41880493"}, {"ref": "suhasjadhav5/house-prices-prediction-85-r2-score", "kernel_id": "41801339"}, {"ref": "humaperveen/advanced-house-price-prediction-with-91-r2-score", "kernel_id": "41622292"}, {"ref": "osamaahmedsiddiqui/house-price-prediction-osama", "kernel_id": "41744582"}, {"ref": "sarvagyaporwal/house-prices", "kernel_id": "41673708"}, {"ref": "cuneyterem8/notebook325bc17194", "kernel_id": "41929423"}, {"ref": "benigmatic/house-prices-advanced-regression-techniques", "kernel_id": "41673087"}, {"ref": "gustavorb/house-prices-prediction", "kernel_id": "41952739"}, {"ref": "ahmedhasssan01/house-price-eda-prediction-deployment-model", "kernel_id": "41072303"}, {"ref": "kevincharlescook/notebooka9f8199458", "kernel_id": "41305965"}, {"ref": "thaumer/house-price-advanced-competition", "kernel_id": "41045024"}, {"ref": "ds150478/feature-engineering", "kernel_id": "41391265"}, {"ref": "ahmeddulaimi/house-price-predict-random-forest-rmse-mae-r2", "kernel_id": "41082154"}, {"ref": "artemverenko/notebookbd410393a5", "kernel_id": "41852347"}, {"ref": "artemverenko/notebook8674301382", "kernel_id": "41499482"}, {"ref": "deveshnegi/simple-house-price-prediction", "kernel_id": "41027419"}, {"ref": "shahidulugvcse/house-price-prediction-using", "kernel_id": "41967327"}, {"ref": "irfansadiqrahat/notebooka0bebe2a28", "kernel_id": "41871941"}, {"ref": "ahmettalhabektas/house-price-prediction-solution", "kernel_id": "41500487"}, {"ref": "adarshcgowda/step-by-step-eda-for-house-price-prediction", "kernel_id": "41268635"}, {"ref": "mahmoudhassan6660/house-prices-advanced-regression-techniques", "kernel_id": "41059933"}, {"ref": "akihisawatanabe/mokumoku-eda", "kernel_id": "41845972"}, {"ref": "kacperkodo/notebook0706d609ae", "kernel_id": "41336893"}, {"ref": "uumutsezerr/predicting-house-sale-prices", "kernel_id": "41064646"}, {"ref": "omarmostafataha/house-prices-pca", "kernel_id": "41078463"}, {"ref": "shashankjyoti/house-price", "kernel_id": "41634701"}, {"ref": "monawankhede/house-predication", "kernel_id": "41733327"}, {"ref": "sritarunika/randomforestregressor-for-beginners", "kernel_id": "41200751"}, {"ref": "nakulmalik/house-prices-linear-regression", "kernel_id": "41494882"}, {"ref": "kirollosashraf/home-rent-prediction-eda-linear-regression", "kernel_id": "41792700"}, {"ref": "alessandroulivi/houseprice-afu", "kernel_id": "41107960"}, {"ref": "hmm1015/eda-on-house-price", "kernel_id": "41027796"}, {"ref": "wajidmeo/house-price-prediction-regression-techniques", "kernel_id": "41401663"}, {"ref": "ayeshairshadcoder/house-price-prediction-competition", "kernel_id": "41229746"}, {"ref": "haleemaasadia/notebook6e08ee6150", "kernel_id": "41659875"}, {"ref": "ananthu19/house-price-prediction", "kernel_id": "41658923"}, {"ref": "annack/house-price-prediction-with-manually-prep-and-tfdf", "kernel_id": "41766664"}, {"ref": "artemnovitskiy/house-pricing-eda-and-clustering", "kernel_id": "41403887"}, {"ref": "mgorkemgunal/notebook-house-pricing-mgg", "kernel_id": "41849554"}, {"ref": "kdsharma/predicting-house-price-90-accuracy", "kernel_id": "41076121"}, {"ref": "theiturhs/house-price-prediction-using-ml-models", "kernel_id": "41365990"}, {"ref": "cj1234567890/houseprice", "kernel_id": "41823492"}, {"ref": "raghunathsahoo/house-price-prediction", "kernel_id": "41571662"}, {"ref": "saragamil1/house-prices-prediction", "kernel_id": "41462022"}, {"ref": "lukastaylor2/dtreeviz-visualizing-machine-learning", "kernel_id": "41942282"}, {"ref": "ahmedmahmou4/all-model-a-complete-guide-price-stacking-model", "kernel_id": "41437708"}, {"ref": "himanshukumar7079/house-prices-pred", "kernel_id": "41091905"}, {"ref": "mateuszk013/ml-explainability-shapley-values-shap-library", "kernel_id": "41011721"}, {"ref": "maxagrafa/house-prices-with-nn-0-127-acc", "kernel_id": "41421465"}, {"ref": "midhunlalvs/house-price-prediction-using-lr-rf-xgb-reggressor", "kernel_id": "41946830"}, {"ref": "sanjayvishwakarma401/house-prices-prediction-using-lr-boosting", "kernel_id": "41492885"}, {"ref": "aditya219/neural-network-model-for-house-prices-tensorflow", "kernel_id": "41819707"}, {"ref": "ahmedali74/house-predict-using-rforest-linreg-mlreg-dtree", "kernel_id": "41008123"}, {"ref": "ecopolitics16/home-prediction16", "kernel_id": "41982868"}, {"ref": "yuriidzbanovskyi/notebookc6de6d7681", "kernel_id": "41992925"}, {"ref": "hidozawa/answer-mokumoku-baseline", "kernel_id": "41740822"}, {"ref": "hidozawa/problem-mokumoku-baseline", "kernel_id": "41884840"}, {"ref": "josevalenciab/houseprices-linearregression-beginner", "kernel_id": "41898520"}, {"ref": "ahmadim/house-price-competition", "kernel_id": "41332852"}, {"ref": "mochabidin/house-price-prediction-kaggle-comp", "kernel_id": "41255770"}, {"ref": "boohdaaaan/house-prices-top-10-xgboost-lightgbm-optuna", "kernel_id": "41669509"}, {"ref": "jaeohshin/house-prices-prediction-using-tfdf", "kernel_id": "41012579"}, {"ref": "akinert/house-prices-lasso-data-preprocessing", "kernel_id": "41515893"}, {"ref": "akinert/house-prices-linear-regression-selectkbest", "kernel_id": "41502945"}, {"ref": "bensalem14/house-price-predictions-with-catboost", "kernel_id": "41357020"}, {"ref": "mimansari/end-to-end-ml-for-house-price-prediction", "kernel_id": "41756475"}, {"ref": "sayedshaun/house-price-prediction", "kernel_id": "41385901"}, {"ref": "kirillbratsun/house-prices", "kernel_id": "41233269"}, {"ref": "shamiks/housing-price-regression-lightgbm-and-optuna", "kernel_id": "41916543"}, {"ref": "arcielbaez/trying-some-data-exploration", "kernel_id": "41090488"}, {"ref": "arcielbaez/feature-engineering-4-house-prices-last-submission", "kernel_id": "41185731"}, {"ref": "mustafakalay/house-price-ml-app", "kernel_id": "41425883"}, {"ref": "bahodirmaydonov/house-price", "kernel_id": "41701989"}, {"ref": "utkarshsanre/notebook8ce045aa36", "kernel_id": "41841937"}, {"ref": "yuanshanzhang/house-price-prediction-yuanshan", "kernel_id": "41763240"}, {"ref": "lilflerkin/house-price-prediction-using-advanced-regression", "kernel_id": "41264651"}, {"ref": "omariovic/boston-houses-regression", "kernel_id": "41586522"}, {"ref": "xieyuquan/house-pricev1", "kernel_id": "41764505"}, {"ref": "jkraak/predicting-house-prices-linear-regression", "kernel_id": "41992930"}, {"ref": "ammarahabib/predict-house-price", "kernel_id": "41790683"}, {"ref": "dkdllakmal/advanced-regression-house-price-prediction", "kernel_id": "41224820"}, {"ref": "ju1cyguy/house-prices-advanced-regression-techniques", "kernel_id": "41729939"}, {"ref": "talhaahmed9090/house-prices-prediction-using-tfdf", "kernel_id": "41897500"}, {"ref": "ayush12nagar/house-price", "kernel_id": "41074705"}, {"ref": "hagarmohamed6602/notebook82eb42bf0d", "kernel_id": "41025110"}, {"ref": "uom239340t/uom23mlmscgrp04", "kernel_id": "41332230"}, {"ref": "felipespirandelli/csi-22-teo", "kernel_id": "41009917"}, {"ref": "uom239364u/house-prices-prediction-using-tfdf", "kernel_id": "41117732"}, {"ref": "proxjod/housingpredictor", "kernel_id": "41716629"}, {"ref": "zoyarani/house-price-prediction", "kernel_id": "41988620"}, {"ref": "gustavsilveira/house-prices", "kernel_id": "41003091"}, {"ref": "bilalmohyuddin/house-price", "kernel_id": "41993958"}, {"ref": "zabihullah18/canada-capita-income-prediction-94", "kernel_id": "41923246"}, {"ref": "valeriamulina/house-price-prediction-regression", "kernel_id": "41332285"}, {"ref": "giuseppevb/housingprices-xgboost", "kernel_id": "41014012"}, {"ref": "giuseppevb/housingprices-randomforest", "kernel_id": "41014061"}, {"ref": "thefortunetellers/updated-house-price-nb", "kernel_id": "41687900"}, {"ref": "adelinmil/how-to-treat-data-skewness", "kernel_id": "41232877"}, {"ref": "gappfill/prediction-house-price", "kernel_id": "41710510"}, {"ref": "rajitkuthiala/house-prices-prediction-using-tfdf", "kernel_id": "41328726"}, {"ref": "meetrais/housing-price-prediction-linear-regression", "kernel_id": "41411602"}, {"ref": "rociomajaronsanchez/house-price-prediction", "kernel_id": "41049670"}, {"ref": "perenial/houseprice-pred", "kernel_id": "41509462"}, {"ref": "sachinpatil1280/house-prices-prediction-using-stacking", "kernel_id": "41646832"}, {"ref": "ndssingh/predict-house-prices-using-advanced-regression", "kernel_id": "41279310"}, {"ref": "danielapadron/feature-engineering-for-house-prices", "kernel_id": "41092005"}, {"ref": "georgetok/random-forest-tf", "kernel_id": "41128595"}, {"ref": "mrcurly02/house-prices-kaggle", "kernel_id": "41042844"}, {"ref": "haiber/housing-price-prediction-with-rf", "kernel_id": "41688288"}, {"ref": "milosz7/house-prices-prediction", "kernel_id": "41928344"}, {"ref": "engmac/house-prediction-model", "kernel_id": "41142489"}, {"ref": "danieleduardocantu/house-prices-advanced-regression-techniques", "kernel_id": "41317035"}, {"ref": "girachirshad/house-rent-experiment-1", "kernel_id": "41127809"}, {"ref": "halitefetanrkulu/halit-titanic-eda", "kernel_id": "41460999"}, {"ref": "othondaikiishiyiita/csi22-house-pricing-rf", "kernel_id": "41015575"}, {"ref": "othondaikiishiyiita/csi22-house-pricing-xgb", "kernel_id": "41015602"}, {"ref": "mariopopov/house-prices-advanced-regression", "kernel_id": "41656248"}, {"ref": "uomml23msc239315x/notebooka00d240b8f", "kernel_id": "41365928"}, {"ref": "garrettkegel/notebook83300469ed", "kernel_id": "41545900"}, {"ref": "adithyapolasa/housing-prices-prediction-using-ml", "kernel_id": "41108864"}, {"ref": "uom23mlmsc229318b/house-price-regression", "kernel_id": "41097400"}, {"ref": "uom23mlmsc229318b/house-price-regression-v2", "kernel_id": "41346836"}, {"ref": "ehssanheydarpour/house-prices-prediction", "kernel_id": "41109643"}, {"ref": "lauraezinnel/house-prices-predictions", "kernel_id": "41509325"}, {"ref": "allisontriebe/hw8-housing-price", "kernel_id": "41509431"}, {"ref": "beulasamuel/hw8-samuel-beulah", "kernel_id": "41509583"}, {"ref": "cnn12341/d4-homework8", "kernel_id": "41509591"}, {"ref": "kunjbhuva89/notebook1be08d2bd0", "kernel_id": "41587825"}, {"ref": "austiniowastate/d4-hw8-sympsonaustin", "kernel_id": "41509751"}, {"ref": "artificialmindset/house-prices-first-try", "kernel_id": "41917770"}, {"ref": "jaehyungkim497/housing-price-prediction", "kernel_id": "41470700"}, {"ref": "diannitaekaputri/house-price-prediction", "kernel_id": "41701703"}, {"ref": "sirajalm/hw-8alqunaynah", "kernel_id": "41509916"}, {"ref": "msmbangladesh/hw-8-mahmud-md-shahriar", "kernel_id": "41515819"}, {"ref": "ashutoshdevpura/house-price-prediction", "kernel_id": "41547066"}, {"ref": "catherinepo/baseline-k-po", "kernel_id": "41992443"}, {"ref": "bhagyashree16/house-pricing", "kernel_id": "41739253"}, {"ref": "ledlamp/lasso-ordinal-encoding-ensemble", "kernel_id": "41644925"}, {"ref": "dqgiac23/house-price-complex-ver", "kernel_id": "41790646"}, {"ref": "yehyangwu/regularized-linear-models", "kernel_id": "41984173"}, {"ref": "yehyangwu/housing-price-prediction-with-rf", "kernel_id": "41757158"}, {"ref": "thaque2050/xgboost-model-training-testing-hyper-paramter", "kernel_id": "42806698"}, {"ref": "larsmadsen/multiple-linear-regression-in-one-line-with-numpy", "kernel_id": "42351565"}, {"ref": "adityaghuse/house-price-advanced-regression", "kernel_id": "42061401"}, {"ref": "abdelhai/advanced-ensemble-regression-pipelines", "kernel_id": "42835754"}, {"ref": "abdelhai/eda-data-cleaning-ames-housing-dataset", "kernel_id": "42395736"}, {"ref": "derekxue/data-exploration", "kernel_id": "42299856"}, {"ref": "sriram212/house-prices-regression", "kernel_id": "42234068"}, {"ref": "niteshs09/house-price-eda", "kernel_id": "42770971"}, {"ref": "arunakumariv/house-price-prediction-eda-fs-predictions", "kernel_id": "42255322"}, {"ref": "gospodin3228/notebook584c94df7a", "kernel_id": "42689577"}, {"ref": "florinandrei/sklearn-pipelines-stacking-target-encoding-pca", "kernel_id": "42104752"}, {"ref": "ronfswanson/simplepycaret-lb-0-3105", "kernel_id": "42055245"}, {"ref": "akifbykl/house-price", "kernel_id": "42037348"}, {"ref": "nartaa/house-prices-prediction-sklearn", "kernel_id": "42165968"}, {"ref": "aniruddhapa/house-price-prediction-using-advanced-regression", "kernel_id": "42831133"}, {"ref": "wouldyoujustfocus/eda-new-insights-features-extraction", "kernel_id": "42673267"}, {"ref": "pzivic/house-prices-by-pa3lo", "kernel_id": "42324600"}, {"ref": "godwinpaul/housepred-advancedregression-lassoridge-tensorflow", "kernel_id": "42551868"}, {"ref": "ilkaquintero/house-prices-prediction", "kernel_id": "42757790"}, {"ref": "raviprakash22/house-prices-advanced-regression-techniques", "kernel_id": "42746439"}, {"ref": "agarwalvishal00/house-prices-prediction-model-determination", "kernel_id": "42807277"}, {"ref": "hendriknebel/cv-0-01-lb-0-12-kernel-for-the-houseprices-dataset", "kernel_id": "42284875"}, {"ref": "ctrnngtrung/reduce-complexity-for-house-prices-predictions", "kernel_id": "42388053"}, {"ref": "abnerfreitas/house-prices-competition", "kernel_id": "42012998"}, {"ref": "mackenwong/full-analysis-and-forecast", "kernel_id": "42926695"}, {"ref": "favoriteabhi/a-detailed-regression-guide-with-house-pric-9b31f4", "kernel_id": "42114472"}, {"ref": "ahmedgamalibrahimali/house-price-prediction", "kernel_id": "42606026"}, {"ref": "syedmuhammadmooazam/house-price-prediction-project", "kernel_id": "42344007"}, {"ref": "brokerus/ml-project-house-prices-eda-and-7-models", "kernel_id": "42753556"}, {"ref": "coolaids/house-prices-updated", "kernel_id": "42356528"}, {"ref": "konstantinosiliakis/housing-regression-top-200", "kernel_id": "42925743"}, {"ref": "amirkotobi/house-prices-dataanalysis", "kernel_id": "42916141"}, {"ref": "nasimmahmud/ensemble-house-price-prediction", "kernel_id": "42394495"}, {"ref": "bhatnagardaksh/introduction-to-regular-expressions", "kernel_id": "42224723"}, {"ref": "aditikumari1710/house-price-prediction", "kernel_id": "42256403"}, {"ref": "shineychandan/house-price-prediction-with-various-regression", "kernel_id": "42355700"}, {"ref": "samrahuseynova/housepricepreds-0-11988-ensemblelearning", "kernel_id": "42852405"}, {"ref": "sohaibmoradi/house-price-competition-top-5-scoring-0-12035", "kernel_id": "42615113"}, {"ref": "zidanqrs/missing-data-treatment", "kernel_id": "42064593"}, {"ref": "hsuanw/house-prices-with-randomforestregressor", "kernel_id": "42145660"}, {"ref": "om1cr0ne/house-prices", "kernel_id": "42133486"}, {"ref": "akakikhuntsaria/tf-df", "kernel_id": "42529857"}, {"ref": "jgabrielsb/kaggle-competition-1-house-price-prediction", "kernel_id": "42041176"}, {"ref": "prakashmahatra/house-price-prediction", "kernel_id": "42082624"}, {"ref": "groesusgott/housegg", "kernel_id": "42829226"}, {"ref": "citipop/housing-price", "kernel_id": "42146104"}, {"ref": "kiattiphumsuwanarsa/basic-regression-with-sklearn", "kernel_id": "42724746"}, {"ref": "nguyentuannguyen/house-price-regression-nguyentuannguyen", "kernel_id": "42615014"}, {"ref": "sidelmeril/house-prices-regression", "kernel_id": "42535926"}, {"ref": "witoldnowogrski/house-prices-advanced-regression-techniques", "kernel_id": "42087405"}, {"ref": "diptopodder/house-prices-advanced-regression-techniques", "kernel_id": "42741421"}, {"ref": "ibrahim213/simple-house-prediction", "kernel_id": "42319460"}, {"ref": "srilekhasekar/house-prediction", "kernel_id": "42611302"}, {"ref": "mayarmohamedswilam/house-price", "kernel_id": "42733330"}, {"ref": "rlakshminarayanan/house-price-prediction-a-beginner-s-work", "kernel_id": "42715274"}, {"ref": "yuraslastya/sales-top14-catboost-optuna", "kernel_id": "42198587"}, {"ref": "sugataraychaudhary/houseprices-featurescaling-outlier-ml-ann", "kernel_id": "42512317"}, {"ref": "bhanureddy9704/houseprice-eda", "kernel_id": "42548165"}, {"ref": "jackksoncsie/house-simple-svr-support-vector-regression-e06a72", "kernel_id": "42827733"}, {"ref": "lvarochapresto/housing-prices-catboost-regressor-gridsearchcv", "kernel_id": "42828542"}, {"ref": "fatmayousufmohamed/house-prices-eda-prediction-evaluation", "kernel_id": "42381945"}, {"ref": "dariavashchenko/house-price-v2", "kernel_id": "42309684"}, {"ref": "dariavashchenko/house-price", "kernel_id": "42249155"}, {"ref": "elainechen7366/performance-check-of-different-feature-selection", "kernel_id": "42105528"}, {"ref": "kotukw/house-pricing-using-xgb-feature-importance-0-1368", "kernel_id": "42624622"}, {"ref": "ahsanulhaquemilon/house-pricing-using-xgbregressor-technique", "kernel_id": "42801363"}, {"ref": "aideesis/a-simple-solution-of-house-prices-with-tensorflow", "kernel_id": "42747079"}, {"ref": "aideesis/advanced-regression-for-house-prices", "kernel_id": "42630908"}, {"ref": "ahnafsadikinan21/pricepredcomp", "kernel_id": "42810896"}, {"ref": "emirbilir/house-price-data-visualisations-and-prediction", "kernel_id": "42675380"}, {"ref": "raphaelnunes/house-prices-prediction", "kernel_id": "42829628"}, {"ref": "yakupkaanbaycan/boston-ridge-and-lasso-tree-based-models-pca", "kernel_id": "42763546"}, {"ref": "adelanseur/houseprices-competition", "kernel_id": "42189362"}, {"ref": "birsenba/houseprices-modelling", "kernel_id": "42107887"}, {"ref": "birsenba/houseprices", "kernel_id": "42036762"}, {"ref": "amaanfaheem/house-prices-advanced-regression", "kernel_id": "42122235"}, {"ref": "akihisawatanabe/mokumoku-featureengineering", "kernel_id": "42213629"}, {"ref": "naveensadanandan/advanced-regression-using-xgboost", "kernel_id": "42308886"}, {"ref": "huseyincosgun/missing-data-imputation-visualization", "kernel_id": "42366511"}, {"ref": "brajbhooshan/house-prices-advanced-pridiction", "kernel_id": "42599820"}, {"ref": "oladipupoolawoye/advancedregressionmodelling", "kernel_id": "42219428"}, {"ref": "abdallaelshamy/house-prices-advanced-regression-techniques", "kernel_id": "42943859"}, {"ref": "akshayacharyan/house-price-predictions", "kernel_id": "42716777"}, {"ref": "armaanseth6702/advancedhouseprice", "kernel_id": "42227817"}, {"ref": "jebazhebar28/lasso-and-xgb-model-with-detailed-eda", "kernel_id": "42576328"}, {"ref": "alizgrdede/store-sales", "kernel_id": "42062602"}, {"ref": "ulziitamirdavaadorj/house-price-prediction-by-ensemble", "kernel_id": "42301482"}, {"ref": "ulziitamirdavaadorj/house-prediction-datapreprocessing", "kernel_id": "42581396"}, {"ref": "suchintikasarkar/house-price-prediction-advanced-regression", "kernel_id": "42258635"}, {"ref": "skv1436/eda-catboost-rf-and-xgb-parameter-tuning", "kernel_id": "42212570"}, {"ref": "skv1436/eda-catboost-score-0-12755", "kernel_id": "42132754"}, {"ref": "guanlilong/house-prices-prediction-using-mi-and-boa", "kernel_id": "42574844"}, {"ref": "sinanbavli04/house-price-prediction", "kernel_id": "42055490"}, {"ref": "yashburman000/housing-price", "kernel_id": "42195455"}, {"ref": "pyrotech/home-sweet-home-prices-with-tfdf-high-acc", "kernel_id": "42794983"}, {"ref": "charlesthomas16/introduction-to-numpy-pandas-and-scipy", "kernel_id": "42872808"}, {"ref": "yuyangwang821/1-house-prices-solution-top-1", "kernel_id": "42928442"}, {"ref": "vinnieb/home-price-prediction", "kernel_id": "42233780"}, {"ref": "chaimaataoutaou1/notebook77fe68b518", "kernel_id": "42405985"}, {"ref": "anasselayady/house-prices-full-machine-learning-project", "kernel_id": "42593380"}, {"ref": "duzduran/deep-neural-network-regression-with-tensorflow", "kernel_id": "42120089"}, {"ref": "badr2211/automated-ml-in-housing-price", "kernel_id": "42958932"}, {"ref": "rushabhs1027/notebook505ec544d8", "kernel_id": "42698841"}, {"ref": "kaineyamashiro/house-prices-regression-using-early-stopping", "kernel_id": "42862846"}, {"ref": "patilaakash619/housing-value-forecast-challenge", "kernel_id": "42689345"}, {"ref": "issamsalmi/house-price-predict", "kernel_id": "42912528"}, {"ref": "hidozawa/mokumoku-eda", "kernel_id": "42116518"}, {"ref": "pawankrgunjan/housing-price-prediction", "kernel_id": "42112530"}, {"ref": "harshitajakiya/housepricepred-with-randomforest", "kernel_id": "42798571"}, {"ref": "sagorkumarmitra/house-price-prediction", "kernel_id": "42111281"}, {"ref": "prernanp/house-prices-randomforest", "kernel_id": "42080948"}, {"ref": "soumya3012/linear-regression-from-scratch-gradient-descent", "kernel_id": "42585753"}, {"ref": "matmansky/houses", "kernel_id": "42846739"}, {"ref": "sudeates/house-price-prediction-with-regressions", "kernel_id": "42365435"}, {"ref": "pyliraghuram/xgb-regression-1", "kernel_id": "42131593"}, {"ref": "pyliraghuram/gradien-boost", "kernel_id": "42109388"}, {"ref": "pyliraghuram/xgb-regression-2", "kernel_id": "42109399"}, {"ref": "pyliraghuram/pytorch-regression", "kernel_id": "42770261"}, {"ref": "gomaaabied25/house-prices-rf-xgb", "kernel_id": "42188121"}, {"ref": "ddjhala/house-price-prediction-using-ml-models", "kernel_id": "42492186"}, {"ref": "christait/neural-network-with-preprocessed-data", "kernel_id": "42148934"}, {"ref": "rukenmissonnier/house-prices-prediction-using-tensorflow", "kernel_id": "42753130"}, {"ref": "dishaagarwal7001/make-your-own-linear-regression-class", "kernel_id": "42855021"}, {"ref": "dishaagarwal7001/make-your-first-multiple-linear-regression-model", "kernel_id": "42850766"}, {"ref": "dishaagarwal7001/write-your-first-linear-regression-program", "kernel_id": "42819294"}, {"ref": "dishaagarwal7001/using-gradient-descent-on-one-parameter", "kernel_id": "42895096"}, {"ref": "burakergene/predict-house-prices-with-using-randomforest", "kernel_id": "42070061"}, {"ref": "ahmedmgelwan/automated-exploratory-data-analysis", "kernel_id": "42251978"}, {"ref": "akshayakki69/notebook8890d09f0d", "kernel_id": "42110265"}, {"ref": "minthihatun/housing-prices-prediction", "kernel_id": "42941417"}, {"ref": "jenmar/house-prices-prediction", "kernel_id": "42009062"}, {"ref": "jenmar/house-prices-prediction-using-random-forest", "kernel_id": "42012136"}, {"ref": "harrycleslie/house-prices", "kernel_id": "42162109"}, {"ref": "vincentlearn/house-prices-with-randomforest-and-gridsearch", "kernel_id": "42501445"}, {"ref": "ilya1337gorodsochi/prices", "kernel_id": "42600905"}, {"ref": "janithkariyawasam/house-price-competition", "kernel_id": "42189837"}, {"ref": "kotataka28/notebook-pg8-23", "kernel_id": "42086312"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "aryansingh1211/house-price-prediction", "kernel_id": "42120190"}, {"ref": "kumudithasilva/house-prices-advanced-regression", "kernel_id": "42528973"}, {"ref": "georgem1984/random-forest-for-house-prediction", "kernel_id": "42449122"}, {"ref": "tharakadasun/house-prices-prediction", "kernel_id": "42616297"}, {"ref": "jwhitting/house-price-3-11", "kernel_id": "42040064"}, {"ref": "deepanshuluthra/house-prediction", "kernel_id": "42552987"}, {"ref": "yaseminssl/ev-fiyat-tahmin-modeli", "kernel_id": "42127916"}, {"ref": "ahmedali6102001/house-prices-with-python", "kernel_id": "42784852"}, {"ref": "dimripriyank/house-prices-advanced-regression-tec", "kernel_id": "42328992"}, {"ref": "dimripriyank/house-price-advance-prediction", "kernel_id": "42400334"}, {"ref": "sandeepchandra22/notebookd59f0ca38a", "kernel_id": "42699573"}, {"ref": "ashmitcajla/house-prices-competition", "kernel_id": "42175362"}, {"ref": "marciolira/marcio-competi-o", "kernel_id": "42428959"}, {"ref": "sreekanthpolu/house-prices-prediction-sree", "kernel_id": "42064268"}, {"ref": "lizasareen/pycaret", "kernel_id": "42279286"}, {"ref": "lizasareen/pycaret-installation", "kernel_id": "42510801"}, {"ref": "mansi0123/house-prediction-using-random-forest", "kernel_id": "42077838"}, {"ref": "sachinpatil1280/deep-learning-for-house-price-prediction", "kernel_id": "42079521"}, {"ref": "jayk18/house-price-regression", "kernel_id": "42055176"}, {"ref": "himanshuydv11/house-price", "kernel_id": "42770979"}, {"ref": "rubenelkana/house-prices-prediction-using-tfdf-in-india", "kernel_id": "42758933"}, {"ref": "ayodatascientist/house-prediction-by-ayo-metrics", "kernel_id": "42221903"}, {"ref": "aerrashivakumar/a-s-k-project-2-house-price-prediction", "kernel_id": "42867385"}, {"ref": "sunnywhile/a-simple-neural-network-by-pytorch", "kernel_id": "42409212"}, {"ref": "padmavathishilpa/house-prediction", "kernel_id": "42936276"}, {"ref": "realjamesnelson/comp-house-prices-advanced-regression-techniques", "kernel_id": "42882876"}, {"ref": "hasanuddinfly/hasanuddin-assignment-2", "kernel_id": "42459317"}, {"ref": "leeway2zc/house-price-problem-practice", "kernel_id": "42576642"}, {"ref": "nabylq/notebookfcebec7198", "kernel_id": "42908016"}, {"ref": "samirelawadyelawady/linear-regression", "kernel_id": "42655554"}, {"ref": "pacawat/house-prices-prediction", "kernel_id": "42111514"}, {"ref": "josephinelsy/house-price-prediction-pcr-stepwise", "kernel_id": "42075867"}, {"ref": "cicinguyen/predicting-house-prices-xgb-rf", "kernel_id": "42402624"}, {"ref": "catherinepo/baseline-k-po-1-0", "kernel_id": "42348733"}, {"ref": "rohansharma0111/random-forest-for-house-prediction", "kernel_id": "42494440"}, {"ref": "romanfreder/notebookc1c574ffab", "kernel_id": "42141453"}, {"ref": "sappaangelo/notebook6dcef10a5b", "kernel_id": "42419344"}, {"ref": "victorkwong/house-prices", "kernel_id": "42824929"}, {"ref": "hlibvolkov/house-prices-2", "kernel_id": "42358248"}, {"ref": "weilearning/data-science-for-econ-combine-kaggle-assignment", "kernel_id": "42229780"}, {"ref": "rizal1015/sept-2-1st-competition", "kernel_id": "42713567"}, {"ref": "mohamedmushfique/house-price-prediction-with-random-fores", "kernel_id": "42724993"}, {"ref": "flyon21/mlhillelkagglev01", "kernel_id": "42155314"}, {"ref": "ankitanain/houseprice-anki", "kernel_id": "42832286"}, {"ref": "yogdeepgupta/advancedregressionmodelling", "kernel_id": "42454823"}, {"ref": "akhilapothu/regression-algorithms", "kernel_id": "42110245"}, {"ref": "likhiteshkuchana/machine-learning", "kernel_id": "42109228"}, {"ref": "kandikatlabhavana/machinelearningmodel", "kernel_id": "42111097"}, {"ref": "aliiyararslan/housepricenotebook", "kernel_id": "42750786"}, {"ref": "avdfvfevfvf/house-prices-prediction-using-tfdf", "kernel_id": "42376076"}, {"ref": "mikepickett/house-prices-blended-regression-top-5", "kernel_id": "42466360"}, {"ref": "akmaljeslin/my-solution-on-house-prices-prediction", "kernel_id": "42743974"}, {"ref": "alejodata2023/house-prices-data-training-in-r", "kernel_id": "42534760"}, {"ref": "mujtabaimran/house-price-regression-task", "kernel_id": "42606952"}, {"ref": "chingtingyu/cs5785hw-1-house-prices", "kernel_id": "42760930"}, {"ref": "qr1025/regression", "kernel_id": "42766622"}, {"ref": "artemzakharovhse/house-prices-advanced-regression-techniques", "kernel_id": "42989653"}, {"ref": "pradhiksha06/notebook3d5a7ed895", "kernel_id": "42966208"}, {"ref": "jankuper192/spatial-analytics-using-gam-s-deel-2-in-nl", "kernel_id": "43141554"}, {"ref": "nhabib115/house-price-prediction", "kernel_id": "43299054"}, {"ref": "sownikturaga96/housing-prices-prediction-v2", "kernel_id": "43894915"}, {"ref": "glaadiss/detailed-exploratory-data-analysis-with-python", "kernel_id": "43136875"}, {"ref": "mahmutyavuz/end-to-end-ml-regression", "kernel_id": "43196236"}, {"ref": "president0704/4-making-base-line-in-house-prices", "kernel_id": "43097550"}, {"ref": "jonshah/house-prices-data-exploration", "kernel_id": "43052593"}, {"ref": "hitanshushahvlogs/house-prices-prediction-using-tfdf", "kernel_id": "43149184"}, {"ref": "usmani52/eda-and-feature-engineering", "kernel_id": "43872011"}, {"ref": "simongoode/house-prices-vae", "kernel_id": "43351071"}, {"ref": "chayadonlappabud/regularized-linear-models", "kernel_id": "43975694"}, {"ref": "jesscorderoromero/house-price-competition-cleaning-and-analysis", "kernel_id": "43145724"}, {"ref": "collindavies/we-re-moving-to-iowa", "kernel_id": "43514229"}, {"ref": "lexack/top-2-using-johnson-su-distribution", "kernel_id": "43752318"}, {"ref": "rohit265/house-prices-advanced-regression-techniques", "kernel_id": "43611887"}, {"ref": "eslamfouad/checking-missing-values-statistics", "kernel_id": "43949472"}, {"ref": "alicanpayasli/90-r2-score-ensemble-model-feature-selection-eng", "kernel_id": "43382988"}, {"ref": "talhanazir168/house-prices", "kernel_id": "43048142"}, {"ref": "talhanazir168/house-prices-eda-feature-importance", "kernel_id": "43048195"}, {"ref": "haticezbolat/house-prices-data-science-project", "kernel_id": "43130740"}, {"ref": "amirkotobi/houseprices-ml-pipeline", "kernel_id": "43672164"}, {"ref": "amirkotobi/houseprices-featureengineering-with-opensource", "kernel_id": "43497393"}, {"ref": "amirkotobi/house-prices-featureengineering", "kernel_id": "43140855"}, {"ref": "gabrielbonavigo/house-prices-advanced-regression-techniques-r-0-93", "kernel_id": "43074186"}, {"ref": "furkansukan/house-price-prediction", "kernel_id": "43565407"}, {"ref": "halanassar/housing-prices", "kernel_id": "43662402"}, {"ref": "alighaleb/house-prices-regression-rfs", "kernel_id": "43106410"}, {"ref": "agustncosta/house-prices-xgboost-rf-catboost-comparison", "kernel_id": "43881785"}, {"ref": "samiulhaqchardewall/end-to-end-project-03-house-price-prediction", "kernel_id": "43846125"}, {"ref": "mattiventonen/house-price-prediction", "kernel_id": "43580556"}, {"ref": "imnaho/practicce-regression", "kernel_id": "43749837"}, {"ref": "pedroamavizca/advanced-housing-price-analytics", "kernel_id": "43676483"}, {"ref": "ayoubelazzab/ayoub-oxy", "kernel_id": "43495153"}, {"ref": "meeratif/house-prices-eda-tfdf-best-model", "kernel_id": "43401647"}, {"ref": "shahdmohamedkamel/house-price-prediction-regression-deep-learning", "kernel_id": "43897212"}, {"ref": "monkeflip/top-24-xgboost-house-prices", "kernel_id": "43467638"}, {"ref": "eduardobrilliandy/housepricing-v6", "kernel_id": "43693037"}, {"ref": "eduardobrilliandy/housepricing-v5", "kernel_id": "43480381"}, {"ref": "eduardobrilliandy/housepricing-v4", "kernel_id": "43442026"}, {"ref": "eduardobrilliandy/housepricing-v1", "kernel_id": "43309906"}, {"ref": "eduardobrilliandy/housepricing-v2", "kernel_id": "43360858"}, {"ref": "abhishektiwari64/house-prices-prediction", "kernel_id": "43016785"}, {"ref": "dragonsave66/house-pricing-prediction", "kernel_id": "43814140"}, {"ref": "hudasaleh1/houses-prices-prediction", "kernel_id": "43556468"}, {"ref": "flexdw/house-price-prediction-process-explanation", "kernel_id": "43941931"}, {"ref": "tnthnhneee/ols-hypothesis-testing-vif-xgboost", "kernel_id": "43588787"}, {"ref": "mathurmudit2022/advanced-stacking-regressor", "kernel_id": "43796204"}, {"ref": "alimohamed01/house-pricing", "kernel_id": "43105827"}, {"ref": "mostafamohammednouh/house-prices-prediction-data-science-process", "kernel_id": "43193442"}, {"ref": "sergeypolivin/sklearn-gb-house-prices-prediction", "kernel_id": "43464351"}, {"ref": "thunder7/h2o-automl-beginners", "kernel_id": "43520179"}, {"ref": "csuwwf/house-prices-advance-regresion-project", "kernel_id": "43560787"}, {"ref": "celestebatres/notebooke725496683", "kernel_id": "43935374"}, {"ref": "ahmedsayed564/implemment-linear-regression-from-scratch", "kernel_id": "43302848"}, {"ref": "illaaravind/house-price-predictions", "kernel_id": "43181581"}, {"ref": "daniilkrasnoproshin/comparison-xgbregressor-vs-ridgecv", "kernel_id": "43213921"}, {"ref": "egorianovski/one-hot-cat", "kernel_id": "43241464"}, {"ref": "shubhangamjha/house-price-prediction", "kernel_id": "43678304"}, {"ref": "izammohammed/all-ml-algos", "kernel_id": "43226186"}, {"ref": "christopherjanes/house-prices-predictions", "kernel_id": "43602734"}, {"ref": "radhakrishnakalluri/house-price-prediction", "kernel_id": "43968694"}, {"ref": "noure1deen/houses-price", "kernel_id": "43324499"}, {"ref": "matthewanoshin/different-model-for-house-price-prediction", "kernel_id": "43234779"}, {"ref": "nicoleone/notebook29e23cea25", "kernel_id": "43390979"}, {"ref": "vicmangiltafolla/sklearn-ml-vs-keras-dnn-basic-comparison", "kernel_id": "43933927"}, {"ref": "ucas0v0zhuoqunli/house-prices-using-automl-score-0-12607", "kernel_id": "43313859"}, {"ref": "dinanksoni/house-prices-score-0-14712", "kernel_id": "43381365"}, {"ref": "alizgrdede/gold-price", "kernel_id": "43267181"}, {"ref": "jbaraabdelhamid/notebook1344c823e9", "kernel_id": "43484074"}, {"ref": "alexeyk12/house-prices", "kernel_id": "43555753"}, {"ref": "alexeyk12/predicting-house-prices-using-oop", "kernel_id": "43561542"}, {"ref": "indranujbanerjee/house-prices-regression", "kernel_id": "43173990"}, {"ref": "khalid910/nootbook", "kernel_id": "43327065"}, {"ref": "endofnight17j03/house-price-prediction", "kernel_id": "43933471"}, {"ref": "laxminarayanasahu/house-price-prediction-advanced-for-competition", "kernel_id": "43132614"}, {"ref": "ramkumar89/housing-price", "kernel_id": "43551604"}, {"ref": "minanalminazor/house-prices-advanced-regression-techniques", "kernel_id": "43942974"}, {"ref": "badr2211/ml-automated-in-housing-price", "kernel_id": "43379967"}, {"ref": "hasanyldiz/house-prices", "kernel_id": "43878966"}, {"ref": "neerajkumar75260/house-prices-advanced-regression-techniques-pred", "kernel_id": "43011630"}, {"ref": "ehabessam/comprehensive-data-exploration-and-model-selection", "kernel_id": "43196021"}, {"ref": "erritiksharma121/house-prices-advanced-regression-techniques", "kernel_id": "43317461"}, {"ref": "adveatprasadkarnik/house-price-predictions-preprocessing-dec-trees", "kernel_id": "43262897"}, {"ref": "thundertouch/house-prices-advanced-regression-techniques", "kernel_id": "43055183"}, {"ref": "theobsidiangaming/house-price-predictions-with-eda", "kernel_id": "43396071"}, {"ref": "mibrahimbashir/housing-prices-eda-and-models-building", "kernel_id": "43780699"}, {"ref": "alexeyshevchenko/house-prices-predictions-advregress-top-4", "kernel_id": "43341510"}, {"ref": "jamiewelsh2/estimating-house-prices-w-advanced-regression", "kernel_id": "43499799"}, {"ref": "omarshaaban2/house-prices-competition-top-10", "kernel_id": "43294723"}, {"ref": "akillesrechardt/housing-prices", "kernel_id": "43181174"}, {"ref": "shubhamkokila/house-price-prediction", "kernel_id": "43537195"}, {"ref": "gergelybanyai/house-comp-link-2", "kernel_id": "43592162"}, {"ref": "youssefmohhaj89/house-price-prediction-r-squared-0-90", "kernel_id": "43234610"}, {"ref": "asadbek1121/california-housing", "kernel_id": "43204808"}, {"ref": "chiahowu/house-prices", "kernel_id": "43252174"}, {"ref": "bensonwamae/house-sale-price-prediction", "kernel_id": "43054388"}, {"ref": "sharonkwikiriza/predicting-house-prices-a-beginner-s-guide", "kernel_id": "43217426"}, {"ref": "mhdnoureddinbassl/house-prices-prediction-advanced-project-ipynp", "kernel_id": "43197596"}, {"ref": "kimjanenov/house-price-preventing-data-leakage-pt-2", "kernel_id": "43549490"}, {"ref": "kimjanenov/house-price-preventing-data-leakage-pt-1", "kernel_id": "43549155"}, {"ref": "vitchakorn/housepricecompetition", "kernel_id": "43278917"}, {"ref": "kotataka28/pg-after-9-1", "kernel_id": "43025665"}, {"ref": "adnan14/random-forest-dl-advance-preprocessing", "kernel_id": "43913640"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "alberto71/tfm-bigdata-uned-alberto", "kernel_id": "43322454"}, {"ref": "omerabdelmoneim/house-prices-model", "kernel_id": "43846386"}, {"ref": "arsalannezhadfard/sale-price-1", "kernel_id": "43151642"}, {"ref": "muratkiran/house-price-prediction", "kernel_id": "43795867"}, {"ref": "wtstephens/real-estate-predictions-w-interest-rates", "kernel_id": "43918473"}, {"ref": "abhinavdubey00/house-price-data-beginner-s-guide", "kernel_id": "43524304"}, {"ref": "glenn23/housing-prices", "kernel_id": "43849091"}, {"ref": "abidhuassin/house-prices-prediction-using-tf-decision-forests", "kernel_id": "43270815"}, {"ref": "tatsatsingh/submission-2", "kernel_id": "43957235"}, {"ref": "tatsatsingh/house-prices-advanced-regression-techniques", "kernel_id": "43874700"}, {"ref": "sarunkanyamoon/pre-advanced-pricing", "kernel_id": "43175786"}, {"ref": "jalenbanfill/house-predictions-with-gradientboost", "kernel_id": "43682036"}, {"ref": "snnuzyz/house-prices-advanced-regression-techniques", "kernel_id": "43863659"}, {"ref": "philopateergeorgei/solving-the-problem-with-gpt", "kernel_id": "43869890"}, {"ref": "yutarofukushima/notebook69bcee6500", "kernel_id": "43439722"}, {"ref": "abhisheksinghbankoti/house-price-predicti0nss", "kernel_id": "43896402"}, {"ref": "cyrusyeyap/finding-your-files-in-kaggle-kernels", "kernel_id": "43082958"}, {"ref": "hoangtruong48/house-price-prediction", "kernel_id": "43859112"}, {"ref": "ahmedsamirafattah/notebook", "kernel_id": "43321155"}, {"ref": "mertalver/house-prices-0-13646-score", "kernel_id": "43069794"}, {"ref": "srinathracherla/pytorch-regression", "kernel_id": "43754123"}, {"ref": "ryotarosakamoto/house-price", "kernel_id": "43390943"}, {"ref": "akmaljeslin/fork-of-my-solution-on-house-prices-prediction", "kernel_id": "43541395"}, {"ref": "akshatdahalwar/user-and-beginner-friendly-linear-regression-model", "kernel_id": "43105705"}, {"ref": "wulanssarii/ds5e14-wulan-sari-data-preprocessing", "kernel_id": "43958528"}, {"ref": "amalstargazer/houseprices", "kernel_id": "43126771"}, {"ref": "gopaltheboss/feature-engineering-for-house-prices", "kernel_id": "43733186"}, {"ref": "marzhanzhan/housing-prices", "kernel_id": "43935986"}, {"ref": "afanys117/house-price-prediction-competition", "kernel_id": "43278130"}, {"ref": "hayder17/3-scatter-plots", "kernel_id": "43757333"}, {"ref": "willianoliveiragibin/book-version-house", "kernel_id": "43469949"}, {"ref": "abrargusthisasmita/homework-week-2-3-4-5-group-1", "kernel_id": "43163376"}, {"ref": "trihung86/house-prices-prediction", "kernel_id": "43732027"}, {"ref": "raymondngan/data-exploration", "kernel_id": "43438081"}, {"ref": "moajezlalani/house-prices", "kernel_id": "43289277"}, {"ref": "jonwright13/house-price-regression-notebook", "kernel_id": "43520337"}, {"ref": "ganpatipandey/house-predictions", "kernel_id": "43525940"}, {"ref": "reynaldovalentin/regresi-n-para-v-departamentos-univ-continental", "kernel_id": "43390779"}, {"ref": "johnnydoyes/all-ml-algos", "kernel_id": "43488039"}, {"ref": "fitriarahmadani/house-prices-prediction", "kernel_id": "43610120"}, {"ref": "komalvij0729/notebook8f0edd8ddb", "kernel_id": "43550394"}, {"ref": "priyankacmaindargi/house-price-prediction", "kernel_id": "43863728"}, {"ref": "sachinfulare/task1", "kernel_id": "43899698"}, {"ref": "sofagaytnbarragn/start-go-2023-apprentissage-machine-sof-a-gayt-n", "kernel_id": "43604327"}, {"ref": "howyda/house-prices-advanced-regression-techniques", "kernel_id": "43682758"}, {"ref": "rinamendonca/house-price-prediction", "kernel_id": "43889489"}, {"ref": "king1azmo/notebook-sourav-tiwari", "kernel_id": "43873616"}, {"ref": "xavier17/house-prices-data-exploration", "kernel_id": "44631014"}, {"ref": "rodrigoazs/house-price-with-xgboost", "kernel_id": "44935424"}, {"ref": "echavrey/house-prices-advanced-regression", "kernel_id": "44248241"}, {"ref": "jf235711/feature-engineering-weekly-q-a-10-12", "kernel_id": "44373599"}, {"ref": "jf235711/hyperparameter-optimization-weekly-q-a-10-19", "kernel_id": "44799148"}, {"ref": "alimirferdos/ml-interview-hands-on-cheatsheet-fundamentals", "kernel_id": "44587255"}, {"ref": "analystoleksandra/colour-palettes-of-seaborn", "kernel_id": "44779670"}, {"ref": "takalaniclarence/simple-approach-to-get-your-started", "kernel_id": "44212357"}, {"ref": "letiimartn/house-prices-prediction", "kernel_id": "44191742"}, {"ref": "nandiniverma/house-price-prediction", "kernel_id": "44688957"}, {"ref": "danielizumikatagiri/eda-and-simple-regression", "kernel_id": "44714603"}, {"ref": "sh2orc/house-price-prediction-with-catboost-first-step", "kernel_id": "44000432"}, {"ref": "nishchay331/n6-house-prices-advanced-regression-techniques", "kernel_id": "44570493"}, {"ref": "ramanathimanjunath/house-price", "kernel_id": "44969625"}, {"ref": "sarashahin/housepricepredict-regression", "kernel_id": "44667921"}, {"ref": "kachirika/notebook634b886954", "kernel_id": "44889666"}, {"ref": "gustavohalm/notebook53294a7051", "kernel_id": "44581658"}, {"ref": "liangbo311/bds-hw3-team12", "kernel_id": "44623684"}, {"ref": "cleytoncandeira/house-price-lmselect", "kernel_id": "44251119"}, {"ref": "superahmed91/houseprice-eda-transformer-catboost", "kernel_id": "44362201"}, {"ref": "promithaldar/houseprices-ridge-lasso-gradientboosting-randomfor", "kernel_id": "44536120"}, {"ref": "raohamzatariq/house-prices-advanced-regression-techniques", "kernel_id": "44905004"}, {"ref": "utkarshsagar1/hpp-utkarsh", "kernel_id": "44050669"}, {"ref": "piyushmohapatra/house-prices", "kernel_id": "44696085"}, {"ref": "donyakhaledyan/starter-guide-to-build-nlp-ml-model-in-pycaret", "kernel_id": "44654219"}, {"ref": "yannan90/house-prices-mlp-k-fold", "kernel_id": "44113848"}, {"ref": "yannan90/house-price-automl-autogluon", "kernel_id": "44403129"}, {"ref": "himanshu604/house-price-predict-2", "kernel_id": "44714706"}, {"ref": "mahmoudsaadmohamed/house-price-regression", "kernel_id": "44698685"}, {"ref": "vaibhav2851/house-prices-prediction-competition", "kernel_id": "44350774"}, {"ref": "karzanmohammed/finding-your-files-in-kaggle-kernels", "kernel_id": "44227071"}, {"ref": "indranil98/mlp-mentor-sep23", "kernel_id": "44821760"}, {"ref": "devanshu0602/predicthouseprices", "kernel_id": "44576260"}, {"ref": "nihxlt/a-comprehensive-guide-to-handle-missing-values", "kernel_id": "44397314"}, {"ref": "alvrod/house-prices-with-tensorflow-2-0", "kernel_id": "44645126"}, {"ref": "alvrod/house-prices", "kernel_id": "44554368"}, {"ref": "hemanthreddykunduru/notebook22af076ad1", "kernel_id": "44613643"}, {"ref": "daichimochizuki/notebook-houseprice-lgb", "kernel_id": "44347984"}, {"ref": "sritarunika/linear-regression-house-price-prediction", "kernel_id": "44065414"}, {"ref": "avtnshm/house-prices-missing-values-skewness-and-rf-gb", "kernel_id": "44143015"}, {"ref": "rizkia14/visualisasi-data-ggplot2-cheatsheet", "kernel_id": "44580376"}, {"ref": "abhisri25/house-price-prediction-minor-project", "kernel_id": "44692162"}, {"ref": "giovannabrodzamojska/house-prices-prediction-stackingregressor", "kernel_id": "44883533"}, {"ref": "venkatprabup21alr051/house-price-reg", "kernel_id": "44555831"}, {"ref": "ashokkumarr21alr008/house-price", "kernel_id": "44555815"}, {"ref": "ismailbuzdan/house-prices-advanced-regression-techniques", "kernel_id": "44917578"}, {"ref": "umutky/house-pricing-eda", "kernel_id": "44141991"}, {"ref": "aranpandey/house-prices-eda-preds", "kernel_id": "44977698"}, {"ref": "sabienn/house-price-preds", "kernel_id": "44209724"}, {"ref": "yurajakadari/fork-of-linear-reg-data-daredevil", "kernel_id": "44066111"}, {"ref": "imamaf/random-forest-with-auto-hyperparameter-tuning", "kernel_id": "44982070"}, {"ref": "shaisskhan/house-price-shaista", "kernel_id": "44393739"}, {"ref": "lngcgiahuy/car-price", "kernel_id": "44991981"}, {"ref": "getanmolgupta01/regression-model", "kernel_id": "44423272"}, {"ref": "karansubramaniam/house-prices-regression", "kernel_id": "44356118"}, {"ref": "karansubramaniam/house-prices-advanced-regression-techniques", "kernel_id": "44475146"}, {"ref": "mehmetarifkuzgunnn/house-price-prediciton", "kernel_id": "44399311"}, {"ref": "jackrodenberg/jack-s-housing-prices", "kernel_id": "44627426"}, {"ref": "computervisi/eda-house-prices", "kernel_id": "44596025"}, {"ref": "heydido/datacleaning-eda-fe-fs-house-prices", "kernel_id": "44871756"}, {"ref": "manikanthvempati/house-price-data", "kernel_id": "44637035"}, {"ref": "ronniehcheng/real-estate-prediction", "kernel_id": "44253487"}, {"ref": "justlikef1re/notebook-dessition", "kernel_id": "44432070"}, {"ref": "donaldhkim/house-prices-prediction-using-tfdf", "kernel_id": "44852596"}, {"ref": "yantaoxi/neural-network-model-for-house-prices-tensorflow", "kernel_id": "44321440"}, {"ref": "nadiia789/gradient-boosting", "kernel_id": "44311679"}, {"ref": "lilangapannipitiya/206087v-lilanga", "kernel_id": "44647898"}, {"ref": "lilangapannipitiya/notebookfa4e811a21", "kernel_id": "44637893"}, {"ref": "nikijohnson/house-prices-prediction-usinog-tfdf", "kernel_id": "44284111"}, {"ref": "shivam6862/house-prices-score-0-12061", "kernel_id": "44105491"}, {"ref": "hassancodeanwar/predicting-house-prices", "kernel_id": "44141204"}, {"ref": "gajshield/regressor-xgboost-house-prices", "kernel_id": "44579745"}, {"ref": "diepgiadongk17qn/ds2-qe170049", "kernel_id": "44026528"}, {"ref": "deepup2k2/house-prices-advanced-regression-techniques", "kernel_id": "44987842"}, {"ref": "learnerscapital/handling-missing-value-cat-6-frequent-category", "kernel_id": "44292107"}, {"ref": "learnerscapital/handling-missing-value-cat-7-create-new-feature", "kernel_id": "44295806"}, {"ref": "learnerscapital/feature-selection", "kernel_id": "44464990"}, {"ref": "mo3azsoliman/house-pricing", "kernel_id": "44376526"}, {"ref": "acepatil/house-prices", "kernel_id": "44226741"}, {"ref": "abhisheksinghbankoti/house-price-prediction", "kernel_id": "44921619"}, {"ref": "theusman/easy-and-accurate-model-among-top-20", "kernel_id": "44972655"}, {"ref": "shashank1209/house-price", "kernel_id": "44125709"}, {"ref": "tkhan2002/project-3-regression", "kernel_id": "44782482"}, {"ref": "japeralrashid/linear-regression-house-prediction-price", "kernel_id": "44249833"}, {"ref": "wulanssarii/ds5e14-wulan-sari-machine-learning", "kernel_id": "44744606"}, {"ref": "ahmedmostafaelsayed/house-prices-random-forest-advance-preprocessing", "kernel_id": "44743962"}, {"ref": "txrdatascience/houses", "kernel_id": "44222518"}, {"ref": "u21cs065/lab-6", "kernel_id": "44710306"}, {"ref": "yuichifurutake/houseprice-base-4", "kernel_id": "44994443"}, {"ref": "marzhanzhan/house-price-0-1783", "kernel_id": "44332349"}, {"ref": "sharukhhasan/house-prices-prediction", "kernel_id": "44228699"}, {"ref": "arunkumarmtp17/houseprice", "kernel_id": "44555410"}, {"ref": "pavelbrian/house-price-prediction-catboost", "kernel_id": "44710970"}, {"ref": "temirlankassym/try-1", "kernel_id": "44014116"}, {"ref": "daniilds/ridge-regression-model", "kernel_id": "44091249"}, {"ref": "anthonytoloczko/house-price-notebook", "kernel_id": "44059814"}, {"ref": "lakshmiaditikumar/tensorflow-decision-forests-for-priceprediction", "kernel_id": "44013380"}, {"ref": "josemiguel5/house-price-prediction-competition", "kernel_id": "44178712"}, {"ref": "chirtee/house-prices-with-pytorch-my-first-job", "kernel_id": "44289320"}, {"ref": "philipakekudaga/house-prices-prediction-using-tfdf", "kernel_id": "44426093"}, {"ref": "hasinduperera/house-prices-prediction", "kernel_id": "44615232"}, {"ref": "applebanana2023/version1", "kernel_id": "44598595"}, {"ref": "applebanana2023/version2", "kernel_id": "44994740"}, {"ref": "angelduenas/hw2-bds", "kernel_id": "44937577"}, {"ref": "ianchute/three-minute-model", "kernel_id": "45235304"}, {"ref": "scatteredflo/regression-boston-house-price", "kernel_id": "45675613"}, {"ref": "kmoran/kyle-moran-assignment-4", "kernel_id": "45941544"}, {"ref": "sownikturaga96/housing-prices-prediction-v4", "kernel_id": "45976842"}, {"ref": "stpeteishii/house-prices-catboost-with-optuna", "kernel_id": "45643552"}, {"ref": "stpeteishii/house-prices-xgb-with-optuna", "kernel_id": "45643555"}, {"ref": "stpeteishii/house-prices-lgbm-with-optuna", "kernel_id": "45643557"}, {"ref": "stpeteishii/house-prices-models-optuna-ensemble", "kernel_id": "45643558"}, {"ref": "jf235711/introduction-to-neural-networks-weekly-q-a-11-2", "kernel_id": "45493433"}, {"ref": "kavithachetanadidugu/automated-hyperparameter-tuning-with-cv", "kernel_id": "45656264"}, {"ref": "markusorblom/machine-learning-and-decision-trees-intro", "kernel_id": "45553322"}, {"ref": "naoki85/house-prices-prediction-using-tfdf", "kernel_id": "45295196"}, {"ref": "vadymzahoruiko/house-prediction-pirce", "kernel_id": "45060581"}, {"ref": "brunoalemo/houseprices", "kernel_id": "45265875"}, {"ref": "ujwalkandi/bds-homework-2", "kernel_id": "45092354"}, {"ref": "jirkaborovec/house-prices-eda-sklearn-xgboost-gpu", "kernel_id": "45444097"}, {"ref": "akshilaanurangi/house-price-prediction", "kernel_id": "45677698"}, {"ref": "president0704/6-model-tuning-in-house-prices", "kernel_id": "45253550"}, {"ref": "tahmidulkashfi/variable-unique-values-analysis-before-eda", "kernel_id": "45914855"}, {"ref": "mawro73/easy-notebook-advanced-regression-top30", "kernel_id": "45352487"}, {"ref": "sidde95/model-selection-between-rf-and-gb", "kernel_id": "45545935"}, {"ref": "appliedailab/notebook0195e2030e", "kernel_id": "45948264"}, {"ref": "aqibrehmanpirzada/house-prediction-with-advance-regression-inr", "kernel_id": "45699787"}, {"ref": "pradeepsahu1357/hppredictionxgboost", "kernel_id": "45040568"}, {"ref": "foevera0/a-group", "kernel_id": "45800968"}, {"ref": "hobeomlee/house-price-prediction-using-post-lasso", "kernel_id": "45315549"}, {"ref": "smohsensadeghi/house-price-eda", "kernel_id": "45230070"}, {"ref": "errrri/eu-house-prices", "kernel_id": "45722060"}, {"ref": "katayounkobraei/housing-price", "kernel_id": "45171551"}, {"ref": "pachecopacheco4/houses-prices-1-0", "kernel_id": "45529632"}, {"ref": "patilnileshn/house-price-prediction-using-regression-models", "kernel_id": "45151792"}, {"ref": "mariamkilibechir/house-price-advanced-solution", "kernel_id": "45635244"}, {"ref": "joesoefseptadiwijaya/data-images-cnn", "kernel_id": "45105118"}, {"ref": "outoftime/house-price-prediction-eda", "kernel_id": "45154105"}, {"ref": "outoftime/xgboost-with-eda", "kernel_id": "45215057"}, {"ref": "vernonyeo/vernon-house-prices", "kernel_id": "45449280"}, {"ref": "humphreyamuta/house-price-regression-technique", "kernel_id": "45751775"}, {"ref": "maxwellrrrr/demo-using-fully-connected-nn", "kernel_id": "45797856"}, {"ref": "phamphung/house-prices-eda-prediction", "kernel_id": "45341363"}, {"ref": "mithuleshponraj/gaussian-process-regression", "kernel_id": "45544405"}, {"ref": "vynokurovyegor/homework5", "kernel_id": "45814627"}, {"ref": "yogesh2006/house-price-data-analysis", "kernel_id": "45350254"}, {"ref": "ignaciotigurius/house-prediction-random-forest-tensor-flow", "kernel_id": "45983419"}, {"ref": "alexeyk12/house-prices-app-streamlit", "kernel_id": "45911217"}, {"ref": "mohamedfayez0/house-price-all-in-one", "kernel_id": "45687280"}, {"ref": "ishworsubedii/house-prices-eda-feature-engineering-catboost", "kernel_id": "45347972"}, {"ref": "tobydjohnson/housing-prices-eda-and-regression", "kernel_id": "45974636"}, {"ref": "robinsonros/house-predictions-v4-r2-88-18", "kernel_id": "45696735"}, {"ref": "tetyanapelykh/house-prices-advanced-regression-techniques", "kernel_id": "45932690"}, {"ref": "sloweat/house-prices-pytorch", "kernel_id": "45738803"}, {"ref": "taifbinshebreen/ml222", "kernel_id": "45453463"}, {"ref": "mojgansamandar/predicting-property-sale-prices", "kernel_id": "45660322"}, {"ref": "youssifhassan/house-price-prediction", "kernel_id": "45497718"}, {"ref": "atifmagsi/comprehensive-data-exploration-with-python", "kernel_id": "45029010"}, {"ref": "dylanduario/housing-prices-prediction", "kernel_id": "45249821"}, {"ref": "tassaditdebiane/predict-house-prices-with-a-randomforest-model", "kernel_id": "45079618"}, {"ref": "eidosama/house-price-predictions", "kernel_id": "45658593"}, {"ref": "silvitni/house-sale-price-prediction", "kernel_id": "45852881"}, {"ref": "feliphearaujo/house-price-prediction-using-neural-network", "kernel_id": "45026436"}, {"ref": "six6ccff/notebookd960928818", "kernel_id": "45944500"}, {"ref": "kumaxiong/house-prices-sklearn-nn-ensembling", "kernel_id": "45681569"}, {"ref": "neronasfloga/house-saleprice", "kernel_id": "45173739"}, {"ref": "gujurialekha/house-price-prediction-advance-regression-alekh", "kernel_id": "45469512"}, {"ref": "florinmagadan/fork-of-house-prices-regression-plot", "kernel_id": "45116495"}, {"ref": "florinmagadan/fork-of-fork-of-house-prices-regression-plot", "kernel_id": "45473492"}, {"ref": "cameronh23/ch-project-3-notebook-py", "kernel_id": "45080018"}, {"ref": "abuzarzulfikar/house-prediction-with-advance-regression-in-r", "kernel_id": "45697290"}, {"ref": "kavilaviswanathan/house-prediction-using-logistic-regression", "kernel_id": "45177211"}, {"ref": "sivarajsingh/house-price-prediction", "kernel_id": "45673530"}, {"ref": "mojtabaameri/house-prices-advanced-regression-challenge", "kernel_id": "45760640"}, {"ref": "sxxven/very-easy-and-usefull-notebook-linear-models", "kernel_id": "45607235"}, {"ref": "imethgunawardena/outlier-the-silent-killer", "kernel_id": "45165029"}, {"ref": "adelesaad/house-price-test-score-0-99", "kernel_id": "45027554"}, {"ref": "abdoashraf90/house-price", "kernel_id": "45659460"}, {"ref": "soorajgupta7/data-exploration-and-house-prices-analysis", "kernel_id": "45873549"}, {"ref": "maurodaschagasjunior/using-poo-to-optimize-data-processing", "kernel_id": "45700043"}, {"ref": "esraaatefameenamer/notebook5cac9c4ccf", "kernel_id": "45212193"}, {"ref": "ryannolan1/kaggle-housing-youtube-video", "kernel_id": "45257639"}, {"ref": "jacker01/house-prices-prediction", "kernel_id": "45758016"}, {"ref": "davidemad01/com-01-house-price", "kernel_id": "45675216"}, {"ref": "bommisettyakash/eda-handling-outliers", "kernel_id": "45468869"}, {"ref": "iozkaraca/house-saleprice-prediction", "kernel_id": "45695781"}, {"ref": "ogulcancck/house-pricing-data-data-science-approaches", "kernel_id": "45312449"}, {"ref": "gabensstuff/house-price-prediction-tensorflow-eda", "kernel_id": "45126798"}, {"ref": "rajeevsinghsisodiya/using-categorical-data-with-one-hot-encoding", "kernel_id": "45250493"}, {"ref": "arnavs19/house-prices-using-xgboost", "kernel_id": "45021287"}, {"ref": "salmasalem44/notebookea888375e5", "kernel_id": "45210510"}, {"ref": "believer0708/notebookb36f1aeba6", "kernel_id": "45029164"}, {"ref": "besimgurpinar/house-prices-advanced-regression-tec", "kernel_id": "45856393"}, {"ref": "theusman/make-your-own-model-for-prediction", "kernel_id": "45014466"}, {"ref": "haohaomingwei/house-prices-prediction-using-tfdf-9479c9", "kernel_id": "45300043"}, {"ref": "chanducpz/house-price-prediction-linear-regression", "kernel_id": "45450123"}, {"ref": "gkaseki/house-prices-1105mv10", "kernel_id": "45586094"}, {"ref": "gkaseki/house-prices-1107-base", "kernel_id": "45781635"}, {"ref": "nicoalvpro/house-pricing-nicolas", "kernel_id": "45790030"}, {"ref": "usc20214490113/notebook46a084f203", "kernel_id": "45714027"}, {"ref": "zhengyingt/tensorflow-decision-forests", "kernel_id": "45873091"}, {"ref": "marrishashevikaash/house-regression-beginner", "kernel_id": "45714085"}, {"ref": "lifengju/house-price-1", "kernel_id": "45572175"}, {"ref": "ahmedayad20/house-price", "kernel_id": "45210432"}, {"ref": "claudianoms/house-prices-part-1-random-forest", "kernel_id": "45709965"}, {"ref": "claudianoms/house-prices-part-0-data-approach", "kernel_id": "45710067"}, {"ref": "pablocorralgutirrez/house-prices-regressor", "kernel_id": "45914587"}, {"ref": "jorgevegagamero/houses-notebook", "kernel_id": "45787929"}, {"ref": "brandonplyler/brandon-plyler-housing-prices", "kernel_id": "45941887"}, {"ref": "mtm4878/notebookea58a62048", "kernel_id": "45931536"}, {"ref": "santoshbikkina/bala-sri-santosh-bikkina-house-price-prediction", "kernel_id": "45885869"}, {"ref": "schneidereit/house-prices-project", "kernel_id": "45948262"}, {"ref": "nicholastoloczko/house-prices-deep-learning", "kernel_id": "45903279"}, {"ref": "samranahmed/advanced-regression-notebook", "kernel_id": "45739277"}, {"ref": "siutakleung/notebook4d20bd78f6", "kernel_id": "45741232"}, {"ref": "ahmedmohamedmoawad/fork-of-notebooke00bd92149", "kernel_id": "45942699"}, {"ref": "ahmedmohamedmoawad/notebook42309c91eb", "kernel_id": "45942981"}, {"ref": "applebanana2023/version3", "kernel_id": "45056851"}, {"ref": "soensteboe/house-price-prediction", "kernel_id": "45849325"}, {"ref": "nityanshukumar/model1-regression", "kernel_id": "45752815"}, {"ref": "mohammedmohsen0404/house-prices-simple-and-highly-efficient-solution", "kernel_id": "45017174"}, {"ref": "ayushdharaskar/ieee-task-1", "kernel_id": "45170835"}, {"ref": "wakanamurata/house-prices-prediction-using-tfdf-1", "kernel_id": "45054459"}, {"ref": "vladislav573/house-prices-advanced-regression-techniques", "kernel_id": "45377328"}, {"ref": "popescumihail/house-prices", "kernel_id": "45111624"}, {"ref": "ralucasarbu/house-sale-price1", "kernel_id": "45489566"}, {"ref": "nitielenaalexandra/laborator-1", "kernel_id": "45493311"}, {"ref": "kasperfjj/house-price-predict", "kernel_id": "45513422"}, {"ref": "scienceenthusiast/predicting-house-prices-random-forest-regressor", "kernel_id": "45966142"}, {"ref": "xavier17/house-prices-advanced-regression-techniques", "kernel_id": "46092785"}, {"ref": "fnajjar/house-prices-eda-prediction-ensemble-model", "kernel_id": "46960024"}, {"ref": "rahalkanishka/predicting-house-prices-in-boston", "kernel_id": "46032291"}, {"ref": "rajput2/house-prices-practice-notebook", "kernel_id": "46416852"}, {"ref": "danseciu/ml-houses", "kernel_id": "46680750"}, {"ref": "yukeyi2/house-prediction", "kernel_id": "46009712"}, {"ref": "truongtop14/housepriceprediction", "kernel_id": "46300100"}, {"ref": "ericliu365/catboost-with-different-level-of-data-preprocess", "kernel_id": "46219834"}, {"ref": "mepiyush2000/notebookedbc7ef079", "kernel_id": "46994552"}, {"ref": "dataengel/house-prices-prediction-with-tfdf", "kernel_id": "46338609"}, {"ref": "dmytrodobrynin/notebook863e262d9b", "kernel_id": "46041461"}, {"ref": "ttbrosltd/houseprices-advancedregression-competition", "kernel_id": "46931168"}, {"ref": "grantbooysen/notebookd723471929", "kernel_id": "46708532"}, {"ref": "abhisirka2001/predicting-house-prices-random-forest-regressor", "kernel_id": "46961619"}, {"ref": "vanphung/house-prices-prediction", "kernel_id": "46897006"}, {"ref": "ahmeedhmdi/predict-house-price", "kernel_id": "46891257"}, {"ref": "ahmedelashrybdm/house-prices-predictor-complete-guide", "kernel_id": "46908202"}, {"ref": "milnlizk/use-kaggle-skills-randomforest-and-xgboost", "kernel_id": "46982833"}, {"ref": "usunyu/feature-engineering-for-house-prices", "kernel_id": "46385191"}, {"ref": "usunyu/house-prices-prediction-using-tfdf", "kernel_id": "46461548"}, {"ref": "fatmabenhlel/house-prices-adv-reg", "kernel_id": "46453298"}, {"ref": "valentyns/notebook7121b6258a", "kernel_id": "46586929"}, {"ref": "hilmireza/notebook314b7d57aa", "kernel_id": "46747748"}, {"ref": "orcabig/hpp-final-yuki", "kernel_id": "46630028"}, {"ref": "orcabig/hpp-final-lillian", "kernel_id": "46660095"}, {"ref": "orcabig/house-price-prediction", "kernel_id": "46554674"}, {"ref": "gamirandads/house-price-competition-my-good-enough-solution", "kernel_id": "46711016"}, {"ref": "minaemil329/house-price-eda-prediction", "kernel_id": "46441913"}, {"ref": "juwonoindo/predictive-analytics-using-3-ml-models-algorithms", "kernel_id": "46115043"}, {"ref": "dumanmesut/house-prices-prediction-cat-lgbm-xgb", "kernel_id": "46693265"}, {"ref": "danishelahi/advanced-regression-techniques", "kernel_id": "46120620"}, {"ref": "markdjadchenko/notebooke6e4a78682", "kernel_id": "46466475"}, {"ref": "virajhemantha/house-p", "kernel_id": "46689178"}, {"ref": "daichimochizuki/notebook-houseprice-nn", "kernel_id": "46197670"}, {"ref": "purnataghosal/studying-decock-s-house-prices-data", "kernel_id": "46109366"}, {"ref": "harshvardhanjagdale/housing-prices-prediction-v4", "kernel_id": "46673377"}, {"ref": "syb54himanshushedam/house-price", "kernel_id": "46705816"}, {"ref": "annalisescamehorn/notebook-scamehorn", "kernel_id": "46877246"}, {"ref": "thanujan99/ml2-thanu", "kernel_id": "46175341"}, {"ref": "thanujan99/assignment2", "kernel_id": "46257833"}, {"ref": "umardesmond/house-price-randomforestregressor-ml-model", "kernel_id": "46836967"}, {"ref": "ahmedgouda8wo/house-price-prediction-top-2-beginner-guide", "kernel_id": "46022644"}, {"ref": "happyoung/house-prices-randomforestregression", "kernel_id": "46670740"}, {"ref": "siangwunsiao/housepriceprediction-1", "kernel_id": "46918783"}, {"ref": "revathymadheswaran/house-price-prediction", "kernel_id": "46923006"}, {"ref": "badr2211/housing", "kernel_id": "46658276"}, {"ref": "joaquinmorillas/randomforestregressor", "kernel_id": "46416140"}, {"ref": "nutron00/house-prediction-basic-approach-sco-0-17", "kernel_id": "46094836"}, {"ref": "akankshajadhav24/house-prices-advanced-regression-techniques", "kernel_id": "46700415"}, {"ref": "alkidiarete/house-prices-predict", "kernel_id": "46010821"}, {"ref": "ouzcanmaden/house-price-prediction", "kernel_id": "46985460"}, {"ref": "shevchenkoksana/house-prices-prediction-simple-version", "kernel_id": "46625714"}, {"ref": "kattupallisudhakar/eda-example-with-python", "kernel_id": "46409070"}, {"ref": "upamasarker/house-prices-prediction", "kernel_id": "46885465"}, {"ref": "smwares/house-prices-xgboost-regression", "kernel_id": "46100807"}, {"ref": "abhisheksingh2004/house-prices-prediction-using-tfdf", "kernel_id": "46167940"}, {"ref": "madmax2003/simple-and-best-catboost-solution-with-visual", "kernel_id": "46252197"}, {"ref": "nikitavet/house-prices-prediction-with-pipeline-optuna", "kernel_id": "46153330"}, {"ref": "juanjosemuozpanos/comparing-automatic-eda-tools", "kernel_id": "46888835"}, {"ref": "jacobgvu/data-analytics-final", "kernel_id": "46369072"}, {"ref": "mayurnimkande/notebooka54fb0a8aa", "kernel_id": "46697154"}, {"ref": "mohamedsameh0410/linear-regression-ridge-and-lasso-house-prices", "kernel_id": "46703562"}, {"ref": "ahmedaliraja/predicting-house-prices-ds", "kernel_id": "46519639"}, {"ref": "hayashiren/houseprices-tutorial-code", "kernel_id": "46329937"}, {"ref": "yossifemad/notebook41dd4d2ea3", "kernel_id": "46933174"}, {"ref": "yldzburhan/predicting-home-prices-lgbm-xgb-cat", "kernel_id": "46692050"}, {"ref": "huseyinbaytar/house-price-prediction", "kernel_id": "46692069"}, {"ref": "mscg02/house-price-randomfores-modulo8", "kernel_id": "46100273"}, {"ref": "priyankapatil03/notebook823929eec4", "kernel_id": "46272441"}, {"ref": "deryaumutkulal/house-pricing-project", "kernel_id": "46016653"}, {"ref": "catiewilkinson/notebook4c41f80035", "kernel_id": "46095796"}, {"ref": "owenpauldeen/deenowenhouseprices", "kernel_id": "46103865"}, {"ref": "fikrinazira/pds-final", "kernel_id": "46748425"}, {"ref": "gkaseki/house-prices-1118-13309base", "kernel_id": "46380813"}, {"ref": "marrishashevikaash/house-price-prediction", "kernel_id": "46502245"}, {"ref": "anterou/notebooke6e4a78682", "kernel_id": "46416177"}, {"ref": "usernameprateek/house-prices-prediction-rfr-gbr-cat-xgboost", "kernel_id": "46851248"}, {"ref": "emannisar/houseprice-prognosticator", "kernel_id": "46806806"}, {"ref": "tomatointhedark/ivanov-ml-lab3", "kernel_id": "46266895"}, {"ref": "subaru9/house-prices-gradientboosting", "kernel_id": "46224406"}, {"ref": "joshuahodges/joshua-hodges-house-price", "kernel_id": "46106481"}, {"ref": "exitof/notebookb85e3a0e8b", "kernel_id": "46109732"}, {"ref": "exitof/redo-of-submission", "kernel_id": "46212187"}, {"ref": "aaron2203330/house-price-prediction-with-catboost", "kernel_id": "46338565"}, {"ref": "buyantogtokh1/house-prices-advenced-regression-notebook", "kernel_id": "46292846"}, {"ref": "nityanshukumar/model2-xgboost", "kernel_id": "46423075"}, {"ref": "hongxingdajiang/full-code", "kernel_id": "46459803"}, {"ref": "josephchowww/final", "kernel_id": "46459808"}, {"ref": "ebrusahinnn/house-price-prediction", "kernel_id": "46577888"}, {"ref": "mucluo/based-on-knn-and-randomforestregression", "kernel_id": "46329053"}, {"ref": "kedarnathrothe/notebook67427d649f", "kernel_id": "46638056"}, {"ref": "shinamahiru/house-prices-predict", "kernel_id": "46019788"}, {"ref": "eliassaker/house-prices-prediction", "kernel_id": "46949480"}, {"ref": "diyayaga/housing-prices-prediction", "kernel_id": "46901051"}, {"ref": "shreyashnawalkar/housing-prices-eda-and-regression", "kernel_id": "46801574"}, {"ref": "rem4000/histogram-based-gradient-boosting-score-0-13393", "kernel_id": "46210825"}, {"ref": "theaxmboy/estimaci-n-precio-de-viviendas-usach", "kernel_id": "46218806"}, {"ref": "harshalmukati/notebook0911f77698", "kernel_id": "46361837"}, {"ref": "anshuman007patel/notebook354a05b3bf", "kernel_id": "46418898"}, {"ref": "rishi2003more/notebook725b17eba2", "kernel_id": "46516617"}, {"ref": "omsanjaykathar/notebook44869dbdcc", "kernel_id": "46628690"}, {"ref": "yashdhanava/notebookbcca3d260d", "kernel_id": "46641105"}, {"ref": "sahilsingh23/notebook264d405d91", "kernel_id": "46638577"}, {"ref": "abhishekughade830/notebookabc951a71f", "kernel_id": "46646924"}, {"ref": "laksefjorden/house-prices-prediction-using-xgboost-regression", "kernel_id": "46874250"}, {"ref": "kudynd/house-prices-regression-rmse", "kernel_id": "46707515"}, {"ref": "tanayramteke/house-prices-prediction", "kernel_id": "46762335"}, {"ref": "parvjain9999/predicting-house-prices-random-forest-regressor", "kernel_id": "46815828"}, {"ref": "sagarrothe/house-prices-2", "kernel_id": "46847383"}, {"ref": "durveshchopade/house-prices", "kernel_id": "46876699"}, {"ref": "bhushanphirke/housing-prices-prediction-v4", "kernel_id": "46876991"}, {"ref": "aniketthakur17/house-prediction-random-forest-tensor-flow", "kernel_id": "46901005"}, {"ref": "henriknmelin/house-prices-with-tiers-and-creative-experimenta", "kernel_id": "47721601"}, {"ref": "htetmyet/stacking-ensemble-regressor-model", "kernel_id": "47720875"}, {"ref": "ianchute/house-prices-monte-carlo-inference", "kernel_id": "47518532"}, {"ref": "ianchute/a-complete-regression-pipeline", "kernel_id": "47539368"}, {"ref": "ianchute/house-prices-two-feature-model", "kernel_id": "47440411"}, {"ref": "ianchute/ten-hour-model", "kernel_id": "47443088"}, {"ref": "couletsimon/episen-course", "kernel_id": "47307669"}, {"ref": "troubaj/comprehensive-data-exploration-with-python-mrt", "kernel_id": "47419575"}, {"ref": "vminaev8/houseprices-ensembles", "kernel_id": "47600244"}, {"ref": "vminaev8/house-prices-exploration", "kernel_id": "47871898"}, {"ref": "bisnusarkar/gradient-descent-from-scratch", "kernel_id": "47637862"}, {"ref": "ankittayal/housing-prices-for-da-lab", "kernel_id": "47200781"}, {"ref": "akshilaanurangi/house-prediction", "kernel_id": "47230772"}, {"ref": "anamariamidoripreda/xgboost", "kernel_id": "47743759"}, {"ref": "tholangchonelanga/predicting-housing-prices", "kernel_id": "47344567"}, {"ref": "dhiaoussayed/gdsc-fss-workshop-part2", "kernel_id": "47253626"}, {"ref": "garfield2021/house-price-prediction", "kernel_id": "47737401"}, {"ref": "mustafasamy/house-prices-advanced-regression-technique", "kernel_id": "47290774"}, {"ref": "yuxuanliu0626/housing-price-eda-prediction", "kernel_id": "47743883"}, {"ref": "yeehawww/house-prices", "kernel_id": "47443655"}, {"ref": "happytomato/yongju-park-house-price-prediction", "kernel_id": "47132028"}, {"ref": "helddata/house-prices-regression", "kernel_id": "47061829"}, {"ref": "aalexanderpanov/house-prices-prediction", "kernel_id": "47214020"}, {"ref": "jacobrho/eda-plotly-seaborn-top-1-housing-price", "kernel_id": "47907255"}, {"ref": "abdelrahmanalgamil/labelencoder-and-feature-selection-for-nan-values", "kernel_id": "47042070"}, {"ref": "graypsycho100/housing-price-rf-regressor", "kernel_id": "47177483"}, {"ref": "zakariajoudar/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "47842862"}, {"ref": "zakariajoudar/extensive-data-preprocessing-and-modeling", "kernel_id": "47843635"}, {"ref": "beridzeg45/saleprice-prediction-using-xgbregressor", "kernel_id": "47911193"}, {"ref": "priyankraval/house-price-prediction-models-ipynb", "kernel_id": "47358241"}, {"ref": "anardashdamirli/house-price-prediction-0-12825-score", "kernel_id": "47167139"}, {"ref": "pushkar007/eda-plotly-seaborn-top-1-housing-price", "kernel_id": "47488969"}, {"ref": "dharmikingle/notebook44d5e86113", "kernel_id": "47346762"}, {"ref": "hieptruong96/california-housing-prices-multiple-model-scorin", "kernel_id": "47095157"}, {"ref": "mukulsaini01/applying-rf-and-xgb-with-best-results", "kernel_id": "47893171"}, {"ref": "utkarshsaxenadn/house-price-prediction-r2-0-92-xgb", "kernel_id": "47280638"}, {"ref": "jaehwan98/house-prices-votingregressor-feat-15models", "kernel_id": "47503041"}, {"ref": "yctsaiyc/deda-assignment", "kernel_id": "47503685"}, {"ref": "yctsaiyc/house-prices-prediction-using-tfdf", "kernel_id": "47503566"}, {"ref": "prathameshkatke/housing-prices-prediction-v4", "kernel_id": "47055727"}, {"ref": "omkarpawar1/predicting-home-prices-lgbm-xgb-cat", "kernel_id": "47073023"}, {"ref": "carloscll/svr-house-price-regression", "kernel_id": "47174419"}, {"ref": "ishaqkhattak/house-price-prediction-using-ensemble-method", "kernel_id": "47258837"}, {"ref": "erengemc/house-price", "kernel_id": "47408907"}, {"ref": "engengeng9/house-prices", "kernel_id": "47956650"}, {"ref": "vishalsingh55/house-prediction-using-elasticnet", "kernel_id": "47909506"}, {"ref": "qkrrkdms/house-prices", "kernel_id": "47487733"}, {"ref": "scottnewcomer/house-prices-regression", "kernel_id": "47616089"}, {"ref": "o2ka03/house-price-prediction", "kernel_id": "47281631"}, {"ref": "nttthanh/regressor-houseprices-ensemble-xgboost", "kernel_id": "47071709"}, {"ref": "nikitapolovnikov/notebookd7ff1fa0d7", "kernel_id": "47925835"}, {"ref": "lukaszgluck/eda-feature-engineering", "kernel_id": "47250326"}, {"ref": "ranzeet013/regression-analysis-on-house-price-dataset", "kernel_id": "47632519"}, {"ref": "juanjosemuozpanos/eda-part-1-ydata-profiling", "kernel_id": "47295822"}, {"ref": "juanjosemuozpanos/eda-part-2-autoviz", "kernel_id": "47297158"}, {"ref": "juanjosemuozpanos/eda-part-3-sweetviz", "kernel_id": "47329213"}, {"ref": "juanjosemuozpanos/dimensionality-reduction-with-t-sne", "kernel_id": "47339703"}, {"ref": "juanjosemuozpanos/feature-engineering-with-umap", "kernel_id": "47401061"}, {"ref": "thaerarda/tutorial-k-fold-cross-validation", "kernel_id": "47277938"}, {"ref": "samh0ng/house-prices-prediction-using-tfdf", "kernel_id": "47031080"}, {"ref": "samh0ng/stacked-regressions-top-4-on-leaderboard", "kernel_id": "47030014"}, {"ref": "dishantkharkar/house-price-prediction", "kernel_id": "47279703"}, {"ref": "deveshrathi123/house-prices-regressor", "kernel_id": "47054072"}, {"ref": "kanishkmunot/eda-on-advanced-house-price-regression-problem", "kernel_id": "47537267"}, {"ref": "tjrodr1/step-by-step-project-data-analysis-and-ml-learning", "kernel_id": "47216026"}, {"ref": "kathars1ss/house-prices-predict", "kernel_id": "47148505"}, {"ref": "nithinx/house-price-prediction", "kernel_id": "47834966"}, {"ref": "rabianaz22/house-prices-stacking-and-feature-engineering", "kernel_id": "47106909"}, {"ref": "yossifemad/notebook41dd4d2ea3-2358b9", "kernel_id": "47885393"}, {"ref": "huihaoxing/cis-400", "kernel_id": "47055606"}, {"ref": "insist19/kaggle", "kernel_id": "47999124"}, {"ref": "swine523/house-price-prediction-using-linear-regression", "kernel_id": "47993118"}, {"ref": "akshatshaw7/easy-code-using-lazypredict", "kernel_id": "47004221"}, {"ref": "alirafazi/86-random-forest-87-support-vector-machine", "kernel_id": "47768790"}, {"ref": "bromotdi/house-prices-cat-regression", "kernel_id": "47921411"}, {"ref": "kyuoma45/housepriceprediction", "kernel_id": "47762207"}, {"ref": "kirschewastaken/eda-housing", "kernel_id": "47260945"}, {"ref": "seymma/house-price", "kernel_id": "47782527"}, {"ref": "chakaliprakash/home-price-predictions", "kernel_id": "47083155"}, {"ref": "dovhanoleksii/house-price-prediction-using-decision-trees", "kernel_id": "47081444"}, {"ref": "gureev1371/notebooke264e22ad8", "kernel_id": "47413260"}, {"ref": "gagandeep44489/advanced-regression-house-prices", "kernel_id": "47815540"}, {"ref": "kirillmaslov13/maslov-lab3", "kernel_id": "47513287"}, {"ref": "haheun/20011830-final-pub", "kernel_id": "47757008"}, {"ref": "soobeom5range/22011865", "kernel_id": "47754662"}, {"ref": "gkaseki/house-prices-1207-base", "kernel_id": "47430683"}, {"ref": "vladislavpapenkin/house-prices-pvs", "kernel_id": "47601533"}, {"ref": "satyamapandey/final-project-house-price-prediction-dawr", "kernel_id": "47262928"}, {"ref": "tossik/house-price-prediction", "kernel_id": "47590416"}, {"ref": "oliviergauvin/housing-price-eda-prediction", "kernel_id": "47568723"}, {"ref": "kommynest28/house-prices", "kernel_id": "47970940"}, {"ref": "ahmedsamir6788/house-pricing", "kernel_id": "47980211"}, {"ref": "msecilozturk/house-price-prediction", "kernel_id": "47034172"}, {"ref": "victoriabasnina/notebook2594b66eb2", "kernel_id": "47187636"}, {"ref": "dmitriymikhaylov/notebook711c6bb889", "kernel_id": "47631291"}, {"ref": "elinadyadkina/idz3-1371-d-e", "kernel_id": "47973059"}, {"ref": "askdna/house-prices-ridgecv-xgbregression", "kernel_id": "47816951"}, {"ref": "yifeizhu209/house-price-prediction-random-forest", "kernel_id": "47365202"}, {"ref": "zhuravlevavaleriya/notebook5bfe447318", "kernel_id": "47901472"}, {"ref": "philipklippel/house-price-kaggle-tensorflow-random-forrest", "kernel_id": "47156306"}, {"ref": "alex410023/notebook39317c2464", "kernel_id": "47691869"}, {"ref": "alex410023/notebook5979c556ff", "kernel_id": "47610031"}, {"ref": "pasamariaalessandra/notebookb62255b9d1", "kernel_id": "47412345"}, {"ref": "muhammadabdullah545/house-prices-predictions", "kernel_id": "47787957"}, {"ref": "duohereshui/notebookde8f477a15", "kernel_id": "47962504"}, {"ref": "michaelward365/housing-price2", "kernel_id": "47441479"}, {"ref": "hanyjr/eda-house-price", "kernel_id": "47869289"}, {"ref": "bluefulash/houseprices-sanghyeokan-20231076", "kernel_id": "47830929"}, {"ref": "vitaliimaistrenko/homeworklesson06", "kernel_id": "47941159"}, {"ref": "ajaybabanyadav/house-prices-prediction-using-tfdf", "kernel_id": "47792232"}, {"ref": "khalilgad/house-price-model-prediction", "kernel_id": "47917996"}, {"ref": "yarikbench/notebookc8b1e4860c", "kernel_id": "47744589"}, {"ref": "yassmine2002/notebook082bac80c4", "kernel_id": "47499352"}, {"ref": "nathaliej/houseprices", "kernel_id": "47792578"}, {"ref": "davidebonaglia/house-prices-advanced-regression-techniques", "kernel_id": "47726026"}, {"ref": "hannah142/house-prices-prediction", "kernel_id": "47283198"}, {"ref": "prathamnagrawal/house-prices-regressor", "kernel_id": "47018350"}, {"ref": "rohannirwal50/predicting-house-prices-mca-svr-isotonic", "kernel_id": "47015645"}, {"ref": "pushkardhond03/house-prediction-random-forest-tensor-flow", "kernel_id": "47015154"}, {"ref": "kiranleela/house-price-prediction", "kernel_id": "47043294"}, {"ref": "amangour3/eda-plotly-seaborn-top-1-housing-price", "kernel_id": "47881905"}, {"ref": "pratikhatkar123/house-prices-competition", "kernel_id": "47156303"}, {"ref": "valeriipasko/notebook96af138f8e", "kernel_id": "47215616"}, {"ref": "superlaye/house-price-reg", "kernel_id": "47473254"}, {"ref": "jamalnajmi/100-accurate-result", "kernel_id": "47705833"}, {"ref": "zeiadh20/notebook41dd4d2ea3", "kernel_id": "47849699"}, {"ref": "nikitabannikov2001/house-prices-advanced-regression-bannikov-9305", "kernel_id": "47860683"}, {"ref": "ketanahirwar/eda-part-2-autoviz", "kernel_id": "47870878"}, {"ref": "mukul134/regression-analysis-on-house-price-dataset", "kernel_id": "47896188"}, {"ref": "mayankraikwar/regression-analysis-on-house-price-dataset", "kernel_id": "47949414"}, {"ref": "chrisparker12/regression-algorithms-compared", "kernel_id": "47951763"}, {"ref": "krishujeniya/house-price-prediction", "kernel_id": "47954874"}, {"ref": "johncubides/big-data-pr-ctica-regresi-n-lineal-con-python", "kernel_id": "47993943"}, {"ref": "johncubides/predicci-n-de-precios-con-regresiones-lineales", "kernel_id": "47994421"}, {"ref": "dilemma/house-price-prediction-regressions", "kernel_id": "48787094"}, {"ref": "shruticode/step-by-step-guide-for-house-price-regression", "kernel_id": "48099665"}, {"ref": "vminaev8/houseprices-ensembles-solution", "kernel_id": "48530882"}, {"ref": "vminaev8/houseprices-decisiontree-baseline", "kernel_id": "48015203"}, {"ref": "vminaev8/houseprices-decisiontree", "kernel_id": "48017087"}, {"ref": "vminaev8/decisiontree-from-scratch", "kernel_id": "48018099"}, {"ref": "hcshen916/blended-model-hyperparameter-tuning", "kernel_id": "48174057"}, {"ref": "kuboiyusuke/stacked-regressions-top-4-on-leaderboard", "kernel_id": "48921875"}, {"ref": "kuboiyusuke/house-prices-prediction-using-tfdf", "kernel_id": "48911029"}, {"ref": "kirillkolesnikov/house-prices-easy-pred", "kernel_id": "48910522"}, {"ref": "farhankardan/house-price-eda-advanced-outlier-analysis", "kernel_id": "48378479"}, {"ref": "asthag25/house-price-analysis-part-1", "kernel_id": "48710322"}, {"ref": "wojciech1/house-price-regression-workflow", "kernel_id": "48822338"}, {"ref": "pchamoli191900/competition-notebook-house-prices", "kernel_id": "48787636"}, {"ref": "moyamoya/1-house-prices-solution-top-1", "kernel_id": "48921842"}, {"ref": "moyamoya/house-price", "kernel_id": "48821734"}, {"ref": "deniza35/house-price-pred", "kernel_id": "48660488"}, {"ref": "jiya7316/advanced-house-price-prediction", "kernel_id": "48527186"}, {"ref": "jt4v4res/house-prices-ensemble", "kernel_id": "48031894"}, {"ref": "mohammadmmustafa/prodigy-predict-the-price-of-house", "kernel_id": "48059405"}, {"ref": "mdismielhossenabir/house-prices-advanced-regression-techniques", "kernel_id": "48959936"}, {"ref": "ravi20076/houseprices-models-v2", "kernel_id": "48565027"}, {"ref": "prawarrior/rare-label-encodig", "kernel_id": "48521502"}, {"ref": "zhenhoblngjia/anomaly-detection", "kernel_id": "48553723"}, {"ref": "kamalapousajja/house-price-prediction-top8", "kernel_id": "48913353"}, {"ref": "akelsayed/xgbregressor-house-price-prediction-ak", "kernel_id": "48898694"}, {"ref": "corneliuskarel/forecasting-house-pricing-with-boosting-algorithm", "kernel_id": "48549653"}, {"ref": "mohamedzaghloula/house-price-prediction-using-lr-and-rf", "kernel_id": "48494312"}, {"ref": "siriluk/advance-regression-and-ensemble-methods", "kernel_id": "48601568"}, {"ref": "adebowaleoluwafemi71/house-price-prediction-aso", "kernel_id": "48511774"}, {"ref": "lingashkumaarm/house-price-prediction", "kernel_id": "48563150"}, {"ref": "vijayakumaran27/house-price-prediction", "kernel_id": "48570534"}, {"ref": "presanna/house-prices", "kernel_id": "48568008"}, {"ref": "shubham2703/house-price-prediction", "kernel_id": "48373896"}, {"ref": "cruzangel/house-prices", "kernel_id": "48793606"}, {"ref": "naveenkumars20isr031/house-price", "kernel_id": "48859737"}, {"ref": "kavinkumars20isr023/household-regressor", "kernel_id": "48518318"}, {"ref": "hossamahmedsalah/house-pricing-regression", "kernel_id": "48221532"}, {"ref": "yaminh/advanced-regression-techniques-stacking", "kernel_id": "48457851"}, {"ref": "smitraval24/house-price-prediction", "kernel_id": "48864328"}, {"ref": "pannsengpanich/house-prices-analysis", "kernel_id": "48563962"}, {"ref": "deepanrajs21adr010/house-price-prediction-using-catboost", "kernel_id": "48563303"}, {"ref": "abdelrahmanahmed110/house-prices-advanced-regression", "kernel_id": "48232409"}, {"ref": "sauravsingh45612/house-price-prediction", "kernel_id": "48951976"}, {"ref": "nabinoli2004/house-prices-advanced-regression-techniques", "kernel_id": "48769622"}, {"ref": "hamzasam/tutorial-k-fold-cross-validation", "kernel_id": "48062460"}, {"ref": "seyeongjang/python-5", "kernel_id": "48635468"}, {"ref": "vishnupriyagarige/house-prices-regression-with-xgb-lgbm-catboost", "kernel_id": "48030072"}, {"ref": "ahmedyousryali/house-prices-prediction", "kernel_id": "48335000"}, {"ref": "sultanalabidi/house-prices-advanced-regression-techniquse", "kernel_id": "48144849"}, {"ref": "johncampbellfin/ames-with-gb-catboost-lasso", "kernel_id": "48074173"}, {"ref": "sathishask/house-price-using-xgboost", "kernel_id": "48563151"}, {"ref": "natchananprabhong/housing-price-prediction", "kernel_id": "48349313"}, {"ref": "yashusinghal/advance-feature-enginn-under-1050", "kernel_id": "48573047"}, {"ref": "ahmedraafat666/regression-notebook", "kernel_id": "48045865"}, {"ref": "mesutssmn/house-price-prediction", "kernel_id": "48972535"}, {"ref": "anannoasif/house-price-prediction-stacked", "kernel_id": "48368502"}, {"ref": "sangammahajan01/house-prices-regression-analysis", "kernel_id": "48990533"}, {"ref": "megumih/houseprices-baseline", "kernel_id": "48848928"}, {"ref": "sayem01k/advance-houseprice-prediction", "kernel_id": "48056598"}, {"ref": "romanniki/house-prices-rf-se-xgb", "kernel_id": "48234956"}, {"ref": "suryanshsharma1/approachable-lasso-xgboost-tfdf-and-eda", "kernel_id": "48637066"}, {"ref": "kavilaviswanathan/house-prices-advanced-regression-techniques", "kernel_id": "48649942"}, {"ref": "nininininininini/house-prices-prediction", "kernel_id": "48310495"}, {"ref": "amulyat29/regression-house-prices", "kernel_id": "48928713"}, {"ref": "nadiia789/stacking", "kernel_id": "48096560"}, {"ref": "ilhambagaz/kompetisi-house-price", "kernel_id": "48957358"}, {"ref": "boranzdemir/housepriceprediction", "kernel_id": "48071220"}, {"ref": "shivam6862/exploring-ml-and-dl-algorithms", "kernel_id": "48729379"}, {"ref": "swine523/house-price-prediction-using-elasticnet-regression", "kernel_id": "48060566"}, {"ref": "saswattulo/xgbregressor-for-house-prices", "kernel_id": "48656758"}, {"ref": "zainabmuhammad/house-prices-prediction-ip-project", "kernel_id": "48286597"}, {"ref": "priyankapatil3/household-regressor", "kernel_id": "48715559"}, {"ref": "liguochun/house-price-predict", "kernel_id": "48948223"}, {"ref": "gerchav/gr4-house-prices", "kernel_id": "48043181"}, {"ref": "kianajafari/regression", "kernel_id": "48812508"}, {"ref": "mikhailnaumov/rmsle-0-12-without-cheats", "kernel_id": "48067505"}, {"ref": "yxsshx/housing-price-prediction", "kernel_id": "48785876"}, {"ref": "white1121/house-prices", "kernel_id": "48796467"}, {"ref": "rajdhilipg21csr158/house-prices-regression", "kernel_id": "48563988"}, {"ref": "bommisrilekkhaa/houseprices", "kernel_id": "48563152"}, {"ref": "bhaskarboruah/house-price-prediction", "kernel_id": "48517997"}, {"ref": "asadali63/housing-prediction", "kernel_id": "48730090"}, {"ref": "saliharanauzun/house-prices-advanced-regression", "kernel_id": "48835401"}, {"ref": "saijagadeshsatagopam/indian-startups", "kernel_id": "48051511"}, {"ref": "immortalcyborg/house-prices-2", "kernel_id": "48012192"}, {"ref": "dimodimchev/housing-prices-prediction-beginner-notebook", "kernel_id": "48327704"}, {"ref": "karavaevsavely/karavaev-hp", "kernel_id": "48124235"}, {"ref": "kyujinahn/house-price-predict-notebook", "kernel_id": "48242324"}, {"ref": "baderalabidi/house-prices-advanced-regression-techniquse", "kernel_id": "48143889"}, {"ref": "baderalabidi/titanic", "kernel_id": "48143849"}, {"ref": "gennadybrenkov/notebooke9291169b2", "kernel_id": "48653081"}, {"ref": "s1lencef/notebook123fa83cf5", "kernel_id": "48010359"}, {"ref": "rodionpasichniuk/house-predict-randomforest-xgboost-lightgbm", "kernel_id": "48195832"}, {"ref": "alexandrelemercier/the-regularization-rumble", "kernel_id": "48135379"}, {"ref": "az05192000gmailcom/7-jeonghoon", "kernel_id": "48160937"}, {"ref": "brunoricardobs13/house-prices-regressions-technics-and-prediction", "kernel_id": "48661578"}, {"ref": "mohammadmaso123/house-price-prediction", "kernel_id": "48911560"}, {"ref": "jimjh0/2024-getting-started-house-prices-a2", "kernel_id": "48757430"}, {"ref": "jimjh0/2024-getting-started-house-prices-a1", "kernel_id": "48563365"}, {"ref": "jimjh0/2024-getting-started-house-prices-a3", "kernel_id": "48801292"}, {"ref": "jimjh0/2024-getting-started-house-prices-a4", "kernel_id": "48853878"}, {"ref": "baebaerene/house-prices-regression", "kernel_id": "48255838"}, {"ref": "poojitha04/poojitha-house-predict", "kernel_id": "48656331"}, {"ref": "dariamerezhepova/housepricesvotingregressor", "kernel_id": "48023114"}, {"ref": "dariamerezhepova/housepricesadvancedregressiontechniques", "kernel_id": "48023819"}, {"ref": "dariamerezhepova/notebookb2b7a31a49", "kernel_id": "48019984"}, {"ref": "euginiaoya/notebook76900b8923", "kernel_id": "48006811"}, {"ref": "gayathiri2003/house-price-predict-xgboostregressor", "kernel_id": "48650204"}, {"ref": "gayathiri2003/house-price-predict-gradientboostregressor", "kernel_id": "48655144"}, {"ref": "gayathiri2003/house-price-predict-lightgbmregressor", "kernel_id": "48653581"}, {"ref": "gayathiri2003/house-price-predict-catboostregressor", "kernel_id": "48652695"}, {"ref": "alcapoint/notebookf182a1e1ea", "kernel_id": "48387321"}, {"ref": "kurosand/notebookf469f09db3", "kernel_id": "48023776"}, {"ref": "makssssuper/notebookffa8a3af3c", "kernel_id": "48034666"}, {"ref": "andrydasilva/house-prices-with-feature-analyzer", "kernel_id": "48193293"}, {"ref": "annajazayeri/house-prices-advanced-predictive-analysis", "kernel_id": "48942862"}, {"ref": "mohammadbizhani/house-prediction-mlp-xgb-ridge-cat-models", "kernel_id": "48117844"}, {"ref": "elaheesl/house-price-regression-by-xgboost-competition", "kernel_id": "48969529"}, {"ref": "abdelhadibahij/house-prices-competition", "kernel_id": "48732635"}, {"ref": "abbasit10122/feature-selection-xgboost", "kernel_id": "48596932"}, {"ref": "onsaouyan/ridgeregression", "kernel_id": "48540939"}, {"ref": "madckull/house-prices-prediction-regression", "kernel_id": "48907815"}, {"ref": "bryandang/111111", "kernel_id": "48566281"}, {"ref": "nikhildigrase/house-price-prediction", "kernel_id": "48771800"}, {"ref": "mateongallo/competition-house-prices-adv-reg-tech", "kernel_id": "48621959"}, {"ref": "jeffersonvalandro/house-prices-prediction", "kernel_id": "48657348"}, {"ref": "apavlov1371/notebook004201cfe6", "kernel_id": "48361943"}, {"ref": "chaiwonho/house-price-6", "kernel_id": "48179393"}, {"ref": "scifithief/house-prices-prediction-using-tfdf", "kernel_id": "48665150"}, {"ref": "andreasbis/house-prices-regression-an-introduction", "kernel_id": "48633905"}, {"ref": "renhuang8/houseprice-prediction-mlp", "kernel_id": "48802848"}, {"ref": "yanshiai/house-price-prediction-and-analysis", "kernel_id": "48108145"}, {"ref": "ramirazodi/ca-house-price-lr-pipe", "kernel_id": "48358184"}, {"ref": "amramr2002/houseprices-models-v2", "kernel_id": "48598243"}, {"ref": "asmamalicaj/catboostregressor-housepriceprediction", "kernel_id": "48872502"}, {"ref": "asmamalicaj/xgboostregressor-housepriceprediction", "kernel_id": "48871850"}, {"ref": "suchandan21/catboost-regression", "kernel_id": "48806172"}, {"ref": "bommisri/houseprice-xgbr", "kernel_id": "48960974"}, {"ref": "bommisri/houseprice-randomforestregressor", "kernel_id": "48961606"}, {"ref": "bommisri/houseprice-nn", "kernel_id": "48963002"}, {"ref": "alexryzhkov/lightautoml-get-model-params", "kernel_id": "49460746"}, {"ref": "chwanlouis/revise-on-different-regression-technique", "kernel_id": "49926713"}, {"ref": "vanessallin/15-s60-assignment-1", "kernel_id": "49284090"}, {"ref": "codecoder/house-prices-regression", "kernel_id": "49718999"}, {"ref": "divx1979/db1979-xgb", "kernel_id": "49144279"}, {"ref": "virajmohile/regression-eda-preprocessing-and-model-top-7", "kernel_id": "49231306"}, {"ref": "namyang94/regression-house-prices", "kernel_id": "49320430"}, {"ref": "ayhampar/xgbr-lasso-score0-136", "kernel_id": "49040408"}, {"ref": "tanusreedas/advanced-regression-kaggle-competition", "kernel_id": "49597068"}, {"ref": "shrutidceit/exhaustive-eda-and-ml-models-along-xgboost", "kernel_id": "49195798"}, {"ref": "changshengyen/notebookc913aecdcd", "kernel_id": "49323951"}, {"ref": "pollukenpinedo/house-prices-eda", "kernel_id": "49907468"}, {"ref": "farhankardan/house-price-prediction-modeling-top-30", "kernel_id": "49089680"}, {"ref": "president0704/ver-7-0108-4-making-base-line-in-housepri-736a6d", "kernel_id": "49853736"}, {"ref": "seungwanhong/tutorial-pytorch-eda-with-gpu", "kernel_id": "49965137"}, {"ref": "leonardogiorgi/house-price-prediction-python", "kernel_id": "49596370"}, {"ref": "nilaykhare/data-preprocessing-for-house-price-prediction", "kernel_id": "49206144"}, {"ref": "khalidhabiburahman/house-prices-advanced-regression-techniques", "kernel_id": "49359666"}, {"ref": "yuuki8867/homecredit", "kernel_id": "49373655"}, {"ref": "yuuki8867/baseline", "kernel_id": "49770658"}, {"ref": "bahadirozcanli/house-prices-competition", "kernel_id": "49979338"}, {"ref": "errrri/eu-house-prices-01", "kernel_id": "49806901"}, {"ref": "salmayassin/house-pricing-competition", "kernel_id": "49921604"}, {"ref": "mrnabhill/house-prices-advanced-regression-0-125", "kernel_id": "49978825"}, {"ref": "stanislavtataren/house-price-prediction", "kernel_id": "49042998"}, {"ref": "ziadabdelrahman/linear-regression-model", "kernel_id": "49989268"}, {"ref": "nursultankurmanbekov/house-price", "kernel_id": "49573337"}, {"ref": "juliacherepanova/house-prices", "kernel_id": "49647416"}, {"ref": "fatmaelbakry/house-prices-linear-regression", "kernel_id": "49652774"}, {"ref": "dhruvlotia/houseprice-prediction", "kernel_id": "49557432"}, {"ref": "mahdiehsajedipoor/house-prices", "kernel_id": "49459416"}, {"ref": "polinavolskaya/house-prices", "kernel_id": "49645653"}, {"ref": "mohamedboghdadyy/house-price", "kernel_id": "49333308"}, {"ref": "m2345g/linearregressiontechnique-mayuri", "kernel_id": "49614797"}, {"ref": "m2345g/mayuri-housepriceprediction", "kernel_id": "49614190"}, {"ref": "aaron95629/house-pricing-prediction", "kernel_id": "49884235"}, {"ref": "aaradhyabadal/bike-price-exp-and-learning", "kernel_id": "49682640"}, {"ref": "ashish090/advanced-regression-techniques-sales-prediction", "kernel_id": "49188940"}, {"ref": "shweta0812/house-price-solution-3", "kernel_id": "49744922"}, {"ref": "sahandfy/linear-regression-high-accuracy", "kernel_id": "49592095"}, {"ref": "shivankv098/housing-price-advanced-regression-0-12128-top-7", "kernel_id": "49932738"}, {"ref": "crisbebop/house-prices-automl-using-pycaret", "kernel_id": "49148276"}, {"ref": "hardikgarg03/house-price-random-forest-linear-regression", "kernel_id": "49866347"}, {"ref": "endritmustafa/house-prices-prediction", "kernel_id": "49280444"}, {"ref": "pavlobaranchuk/house-prices-advanced-regression", "kernel_id": "49738763"}, {"ref": "mohamedaldamrdash/linear-regression-houseprice", "kernel_id": "49928683"}, {"ref": "sakshimunde/house-price-prediction-advanced-regression", "kernel_id": "49106988"}, {"ref": "alexandruberindeie/houseprpred-reg", "kernel_id": "49712554"}, {"ref": "marinelaadam/fai-competition-ma", "kernel_id": "49799023"}, {"ref": "ebrahimshami/data-science-project-house-price-prediction", "kernel_id": "49722122"}, {"ref": "chinmay026/predicting-house-prices-random-forest-regressor", "kernel_id": "49396354"}, {"ref": "georgekovin/hausprise", "kernel_id": "49374928"}, {"ref": "jamshidahmadov/house-price", "kernel_id": "49199207"}, {"ref": "sillem/advanced-regressopm-techniques-attempt-1", "kernel_id": "49565223"}, {"ref": "sturarods/house-prices-advanced-w-lr-ridge-lasso-xgb-gb", "kernel_id": "49416664"}, {"ref": "delikansapmaz/house-prices-prediction", "kernel_id": "49797097"}, {"ref": "kawishabbas/house-price-prediction", "kernel_id": "49139216"}, {"ref": "megumih/houseprices-submit", "kernel_id": "49427665"}, {"ref": "vinodkumargurjar/house-prices-vinod", "kernel_id": "49867747"}, {"ref": "nawazhaider/top-1-solution-xgboost-ridge", "kernel_id": "49036654"}, {"ref": "jensenrichardson/house-prices-prediction", "kernel_id": "49896139"}, {"ref": "kashish50/house-price-prediction", "kernel_id": "49571524"}, {"ref": "khushimittal27/house-prices-regression-techniques", "kernel_id": "49784612"}, {"ref": "rodrigobeltro/previs-o-de-valores-de-casas-para-competi-o-hou", "kernel_id": "49947924"}, {"ref": "lukavardanidze/house-price-prediction-w-catboostregressor", "kernel_id": "49739180"}, {"ref": "danielphys/predicci-n-precio-de-casas", "kernel_id": "49712914"}, {"ref": "afzalahmed786/data-dash", "kernel_id": "49740591"}, {"ref": "tetedunai/notebook4209dae800", "kernel_id": "49908875"}, {"ref": "ozermehmet/house-price-prediction", "kernel_id": "49398618"}, {"ref": "chungchenjohnran/comprehensive-data-exploration-with-python", "kernel_id": "49944198"}, {"ref": "sardorwwe/houses-prices-predict", "kernel_id": "49451797"}, {"ref": "aryangupta30/simple-house-prices-prediction-with-explanation", "kernel_id": "49404371"}, {"ref": "aryangupta30/house-price-prediction-best-solution", "kernel_id": "49836577"}, {"ref": "callumbrown123/project-house-price-predictor", "kernel_id": "49070946"}, {"ref": "alexeylevchenko2/house-prices-regression", "kernel_id": "49052269"}, {"ref": "praneykalra/house-price-rf-regressor", "kernel_id": "49953469"}, {"ref": "felix007argail/house-prediction-regression", "kernel_id": "49978650"}, {"ref": "martinkolda/regression-with-catboost-and-optuna-tuning", "kernel_id": "49683340"}, {"ref": "riteshrk/housing-prices-lasso-ridge", "kernel_id": "49369151"}, {"ref": "jatinthakur706/eda-house-pricing", "kernel_id": "49891846"}, {"ref": "shresthapundir/house-prices-prediction-using-tfdf", "kernel_id": "49923084"}, {"ref": "graceveraa/house-prices-prediction-xg-boosting", "kernel_id": "49634725"}, {"ref": "graceveraa/house-prices-prediction-using-tfdf", "kernel_id": "49634847"}, {"ref": "jasmeet0516/house-prices", "kernel_id": "49891962"}, {"ref": "osmankagankurnaz/house-price-prediction-rfr", "kernel_id": "49068972"}, {"ref": "fauzanafiflutfiansah/regresion-analysis-house-price-prediction", "kernel_id": "49918369"}, {"ref": "brunooliveira426/8-regression-models", "kernel_id": "49155188"}, {"ref": "kojimareo/sale-price-predict", "kernel_id": "49607229"}, {"ref": "kojimareo/sale-price-predict2", "kernel_id": "49608194"}, {"ref": "kojimareo/housepriceeda2", "kernel_id": "49386420"}, {"ref": "shumasenzaki/ai-assign-final", "kernel_id": "49346141"}, {"ref": "shumasenzaki/ai-finalassignd-baseline", "kernel_id": "49732887"}, {"ref": "shumasenzaki/ai-finalassignd-improved", "kernel_id": "49734534"}, {"ref": "jimjh0/2024-getting-started-house-prices-a5", "kernel_id": "49241245"}, {"ref": "khaledmofa/using-a-hyper-parameter-svm", "kernel_id": "49403473"}, {"ref": "bhavyagoyal867/house-prices-advanced-regression-techniques", "kernel_id": "49758052"}, {"ref": "magdalenaobrembska/house-prices-1", "kernel_id": "49147818"}, {"ref": "ahlemammar2/house-prices-prediction-gradientboostingregressor", "kernel_id": "49889131"}, {"ref": "ismailaliahmed/house-prices-competition-notebook", "kernel_id": "49358454"}, {"ref": "chhatrakhandelwal966/house-price-prediction", "kernel_id": "49036419"}, {"ref": "yogeshratheea/notebook14a3eb6c03", "kernel_id": "49770511"}, {"ref": "yogeshratheea/notebook6f62b03069", "kernel_id": "49770437"}, {"ref": "yogeshratheea/notebook7bd573b397", "kernel_id": "49767244"}, {"ref": "yogeshratheea/notebookdc1d815338", "kernel_id": "49770146"}, {"ref": "yogeshratheea/notebookec2257adb8", "kernel_id": "49770149"}, {"ref": "thekazisakib/advanced-house-price-prediction", "kernel_id": "49005573"}, {"ref": "sarazeus7/house-price-prediction-using-xgboost", "kernel_id": "49169596"}, {"ref": "shundagoh/seca-g8-final-assessment-report", "kernel_id": "49567794"}, {"ref": "onsaouyan/ridgeregressionfinal", "kernel_id": "49488338"}, {"ref": "benardogwata/notebook4cb777f0f6", "kernel_id": "49246531"}, {"ref": "usaxbitch/notebook06e85a3248", "kernel_id": "49007642"}, {"ref": "masayuki0703/house-prices", "kernel_id": "49359766"}, {"ref": "ibragimovuzoqmurod/house-prices", "kernel_id": "49241523"}, {"ref": "joelbansal/notebook3194f703fe", "kernel_id": "49792068"}, {"ref": "yanshiai/imputation-techniques-1", "kernel_id": "49091085"}, {"ref": "gioeleb00/houses-full-notebook-eda-predictions-top-15", "kernel_id": "49985501"}, {"ref": "heiminwu/pytorch-ver", "kernel_id": "49159741"}, {"ref": "scientificstephen/house-prices-advanced-regressions-techniques", "kernel_id": "49122104"}, {"ref": "asmamalicaj/adaboost-housepriceprediction", "kernel_id": "49046438"}, {"ref": "benjaminlimcy/house-prices-comp", "kernel_id": "49559430"}, {"ref": "elizabeth2nd/notebookhpriceselizabetha", "kernel_id": "49167074"}, {"ref": "poojapbabar/house-prices", "kernel_id": "49413211"}, {"ref": "liudefei/fork-of-houseprice", "kernel_id": "49457120"}, {"ref": "lukewenzel/house-price-prediction", "kernel_id": "49589976"}, {"ref": "chuaweicong/house-prices-prediction-regression", "kernel_id": "49971032"}, {"ref": "aliyapirzada/project", "kernel_id": "49159568"}, {"ref": "yujansaya/house-price-prediction", "kernel_id": "49983462"}, {"ref": "kaurneetlove/house-price", "kernel_id": "49891449"}, {"ref": "maheta/my-home-0077", "kernel_id": "49526189"}, {"ref": "jalallhachmi/notebook4cb85999b8", "kernel_id": "49597756"}, {"ref": "yyyone/notebookdfb68b2fb4", "kernel_id": "49875045"}, {"ref": "yyyone/notebook9af5fc0f59", "kernel_id": "49875078"}, {"ref": "nikkitha8/house-price-regression-using-pytorch", "kernel_id": "50616802"}, {"ref": "clavecat/notebook6002a56707", "kernel_id": "50690616"}, {"ref": "vinitkp/tips-to-save-ram-memory-for-1-gb-dataset", "kernel_id": "50086530"}, {"ref": "adepvenugopal/ml-regression-predict-laptop-price", "kernel_id": "50633554"}, {"ref": "annastasy/house-prices-extensive-eda-and-predictions", "kernel_id": "50219833"}, {"ref": "akhilakamma/house-price-prediction-xgb-regresssor", "kernel_id": "50514914"}, {"ref": "nnmsdelyta/a-complete-pandas-tutorial", "kernel_id": "50696279"}, {"ref": "minjungsung/house-prices-advanced-regression-techniques", "kernel_id": "50261926"}, {"ref": "aftabashrafav/house-assignment", "kernel_id": "50643385"}, {"ref": "alexandrechojnowski/house-pricing-training-v2", "kernel_id": "50016314"}, {"ref": "jorgodamtew/feature-engineering-for-house-prices", "kernel_id": "50667960"}, {"ref": "haroon669/house-prices-pred-with-xgb-gb-and-rf-reg", "kernel_id": "50510695"}, {"ref": "appliedailab/gulustan-housingprediction", "kernel_id": "50917712"}, {"ref": "brian423/data-eda-stacking-regressions", "kernel_id": "50345179"}, {"ref": "redbullgivesuwind/house-sales", "kernel_id": "50908638"}, {"ref": "aligreualihassan/notebooke2eab93bcf", "kernel_id": "50711582"}, {"ref": "abododeh/abood", "kernel_id": "50343213"}, {"ref": "mdonnye/house-prices-pred-xgb", "kernel_id": "50947996"}, {"ref": "abdulmuid/house-prices-prediction-achieving-90-r2-score", "kernel_id": "50411278"}, {"ref": "srinikashvenki/ml-club-decision-trees-and-random-forests", "kernel_id": "50681464"}, {"ref": "ajayjadeja/house-pricing-knn-imputer", "kernel_id": "50846405"}, {"ref": "sakshemgotekar/house-price-prediction-catboost-nn", "kernel_id": "50969460"}, {"ref": "uviiiii/house-price-using-gradient-boosting", "kernel_id": "50067045"}, {"ref": "sherifkhaledosman/house-prices-ml", "kernel_id": "50463067"}, {"ref": "devbilalkhan/house-price-hidden-secret-in-the-data", "kernel_id": "50208649"}, {"ref": "chanchal24/house-prices-prediction-detailed-eda-10-model", "kernel_id": "50709174"}, {"ref": "manvirkaur19/house-prices", "kernel_id": "50998693"}, {"ref": "nipun356/house-price-prediction-beginner-friendly", "kernel_id": "50165672"}, {"ref": "alirzxhshmi/predict-the-prices-of-houses", "kernel_id": "50039415"}, {"ref": "irenenakiyingi/notebookc073689903-57a024", "kernel_id": "50635561"}, {"ref": "viveksomvanshi/house-prices-regularization", "kernel_id": "50054240"}, {"ref": "emreguersoy/housing-prices-xgboost", "kernel_id": "50468430"}, {"ref": "abdelrahmanelfeky987/linear-regression-house-price", "kernel_id": "50407761"}, {"ref": "kaiweicao/house-price-prediction", "kernel_id": "50160537"}, {"ref": "vaishnavi188/house", "kernel_id": "50332036"}, {"ref": "anastasiakorotkova/house-prices-advanced-regression-techniques", "kernel_id": "50336270"}, {"ref": "nooranoona/notebookec051b0857", "kernel_id": "50952574"}, {"ref": "ruoqilirosie/house-prices-prediction-using-gbm-with-eda", "kernel_id": "50792849"}, {"ref": "jerlinjoseph/house-prices-regression-xgboost", "kernel_id": "50923035"}, {"ref": "ngjunkiat/house-prices-regression-with-pipelines", "kernel_id": "50926069"}, {"ref": "abdullah182/house-price-prediction-ml-models", "kernel_id": "50414944"}, {"ref": "yessicatuteja/house-pricing-knn-imputer", "kernel_id": "50749731"}, {"ref": "prathamaggarwal20/house-price-prediction", "kernel_id": "50950917"}, {"ref": "khushibansal15/house-price-prediction-random-forest-regressor", "kernel_id": "50068966"}, {"ref": "chhavidhankhar11/house-price-prediction-using-pycaret", "kernel_id": "50865662"}, {"ref": "muhammadumermujahid/house-price-prediction", "kernel_id": "50847187"}, {"ref": "sangammahajan01/house-prices-regression-with-xg-boost", "kernel_id": "50311410"}, {"ref": "sangammahajan01/house-prices-regression-with-stacked-model", "kernel_id": "50308732"}, {"ref": "samanfatima7/house-prediction-adv-regression-v1-r2-0-9337", "kernel_id": "50383942"}, {"ref": "sriharirajusangaraju/stacked-regressions-top-4-on-leaderboard", "kernel_id": "50840390"}, {"ref": "ionutdomniteanu/housing-contest", "kernel_id": "50068576"}, {"ref": "rishitaverma02/house-prices", "kernel_id": "50954628"}, {"ref": "giladkangisser/updated-common-notebook-rdng-f599e7", "kernel_id": "50814035"}, {"ref": "christianlippai/xgboost-vs-linear-regression-for-housing-prices", "kernel_id": "50661298"}, {"ref": "zeeshanyounas001/house-price-predictions", "kernel_id": "50275695"}, {"ref": "taejinhan/house-prices-prediction-using-tfdf", "kernel_id": "50269392"}, {"ref": "atanumondal01/hose-price", "kernel_id": "50633122"}, {"ref": "khushiagarwal2068/house-prices-advanced-regression-techniques", "kernel_id": "50091015"}, {"ref": "muhammadhidayat99/house-price-prediction-using-regression-technique", "kernel_id": "50034052"}, {"ref": "raaggeesingh/hyperparameter-tuning-i", "kernel_id": "50471280"}, {"ref": "nikijohnson/notebook759a524eae", "kernel_id": "50285637"}, {"ref": "mariushinsberger/randomsearchcv-with-xgboost-on-house-prices", "kernel_id": "50165507"}, {"ref": "miklpikl/boosting-vs-randomforest", "kernel_id": "50317795"}, {"ref": "rizwanrizwannazir/house-price-prediction-advance-techniques", "kernel_id": "50047926"}, {"ref": "sarangdave1234/house-price-reg", "kernel_id": "50257689"}, {"ref": "sarangdave1234/house-prices-regression", "kernel_id": "50098710"}, {"ref": "shatakshi9779/house-price-prediction", "kernel_id": "50116973"}, {"ref": "amirmohammadparvizi/house-prices-advanced-regression-techniques", "kernel_id": "50383798"}, {"ref": "rizwanash/house-price-prediction", "kernel_id": "50447732"}, {"ref": "ahmedmahmoud16/house-prices-regression", "kernel_id": "50608561"}, {"ref": "tamalkoley/house-price", "kernel_id": "50418188"}, {"ref": "akshatdarji/house-prices-advanced-regression-techniques", "kernel_id": "50197107"}, {"ref": "japleenkaurbedi/house-prices-102103204", "kernel_id": "50474869"}, {"ref": "jkaur28/notebook00fc4cb04f", "kernel_id": "50477673"}, {"ref": "harbandanakaur/house-prices-advanced-regression-techniques", "kernel_id": "50474996"}, {"ref": "kirtigupta25/houseprice-prediction", "kernel_id": "50752540"}, {"ref": "paritkansal/house-prices", "kernel_id": "50011300"}, {"ref": "tikiristo/notebookb0a1720d7c", "kernel_id": "50478640"}, {"ref": "palak98039/house-prices-regression-python", "kernel_id": "50946598"}, {"ref": "ankit1743/car-prices-prediction-random-forest", "kernel_id": "50858056"}, {"ref": "ankit1743/house-prices-histgradient-boosting", "kernel_id": "50734395"}, {"ref": "krishuppal/notebookfc1c685432", "kernel_id": "50525921"}, {"ref": "joyygoswami/advanced-regression-house-price-prediction", "kernel_id": "50103555"}, {"ref": "phantom18/forecasts-for-product-demand", "kernel_id": "50005169"}, {"ref": "sanchibatra/housing-prices", "kernel_id": "50320523"}, {"ref": "shwetakk/notebookd1acfa2846", "kernel_id": "50785606"}, {"ref": "ashish32700/house-prices-advanced-regression-techniques", "kernel_id": "50826431"}, {"ref": "mehedithedreamer/house-price-prediction", "kernel_id": "50814416"}, {"ref": "dysfunctionalhuman/house-price-eda", "kernel_id": "50013939"}, {"ref": "dysfunctionalhuman/house-price-feature-engineering", "kernel_id": "50057279"}, {"ref": "chhavideora11/house-prices-prediction-using-tfdf", "kernel_id": "50790369"}, {"ref": "chetalipushkarna/stacking-regressor-with-multiple-base-models", "kernel_id": "50075014"}, {"ref": "loujaienelsherbiny/217-midterm", "kernel_id": "50826125"}, {"ref": "loujaienelsherbiny/hyperparameter-tuning-assignment-3", "kernel_id": "50830880"}, {"ref": "ahmedmagdyhosney/house-prices-rf", "kernel_id": "50821642"}, {"ref": "ahmedmagdyhosney/house-prices-knn", "kernel_id": "50821197"}, {"ref": "ahmedmagdyhosney/house-prices-svm", "kernel_id": "50821886"}, {"ref": "ahmedmagdyhosney/house-prices-linreg", "kernel_id": "50819142"}, {"ref": "mennaelsayed1/advanced-house-price-prediction", "kernel_id": "50917061"}, {"ref": "shazelp/predicting-house-price-1st-try", "kernel_id": "50130200"}, {"ref": "anishamajhi27/house-prices-advanced-regression-techniques", "kernel_id": "50688462"}, {"ref": "kirun1/notebook6706530147", "kernel_id": "50285054"}, {"ref": "farwa99/predicting-sale-price-using-linear-regression", "kernel_id": "50067996"}, {"ref": "umairabbasi6/handling-test-data", "kernel_id": "50492925"}, {"ref": "mhsn21/house-prices-eda-advanced-regression-techniques", "kernel_id": "50934844"}, {"ref": "muhammadhaseebabbasi/data-alchemy-unraveling-house-prices", "kernel_id": "50113728"}, {"ref": "dhruvgarg1010/notebook5ea07d571e", "kernel_id": "50498085"}, {"ref": "dhruvgarg1010/notebookb8c454ddee", "kernel_id": "50108981"}, {"ref": "leonidvashchyn/house-md-eda-ensemble", "kernel_id": "50708036"}, {"ref": "sibtainali110/bank-churn-compeition", "kernel_id": "50115597"}, {"ref": "sibtainali110/house-prices-prediction-compeition", "kernel_id": "50135745"}, {"ref": "tayyabli/house-prices-prediction", "kernel_id": "50113346"}, {"ref": "arvinak/housing-dataset-training", "kernel_id": "50004976"}, {"ref": "trubnikovanatolii/house-prices", "kernel_id": "50027808"}, {"ref": "artemy228/cat-bost", "kernel_id": "50652900"}, {"ref": "hadeerbadr/house-price-prediction-using-python", "kernel_id": "50921899"}, {"ref": "bharatjain347/housing-market-top5-ensembling", "kernel_id": "50945771"}, {"ref": "chopper53/housepriceprediction", "kernel_id": "50978868"}, {"ref": "troydutton/ece-460j-house-prices", "kernel_id": "50681329"}, {"ref": "mariak02/house-price-prediction", "kernel_id": "50052838"}, {"ref": "dianaofili/house-price-prediction-advanced-regression", "kernel_id": "50965517"}, {"ref": "nelahris/house-price-prediction-with-neural-network", "kernel_id": "50182466"}, {"ref": "nuricankazaz/house-price-prediction", "kernel_id": "50055144"}, {"ref": "margaritanupreichik/house-prices", "kernel_id": "50070516"}, {"ref": "vanhaminhquan/stacking-regressor-model-ridge-randomforest", "kernel_id": "50558545"}, {"ref": "yuvamulag/advanced-regression-techniques", "kernel_id": "50576215"}, {"ref": "kentafukui/20240216-house-prices-eda", "kernel_id": "50983545"}, {"ref": "ellecoding/house-prices-prediction-model", "kernel_id": "50117690"}, {"ref": "farheenshaukat/ensemble-learning-techniques", "kernel_id": "50198436"}, {"ref": "wiktorbigboss/notebookcc6a19dc9c", "kernel_id": "50811006"}, {"ref": "smurata/notebook39a05611c3", "kernel_id": "50800543"}, {"ref": "mauriga/preprocessed-and-normal-data", "kernel_id": "50265561"}, {"ref": "mauriga/not-preprocessed-and-abnormal-data", "kernel_id": "50659231"}, {"ref": "masarusato/ase-step1-house-prices-eda", "kernel_id": "50976434"}, {"ref": "ishanmathurkaggle28/house-price-prediction-beginner-approach", "kernel_id": "50634384"}, {"ref": "violeteb/house-prices-advanced-regression-techniques", "kernel_id": "50354555"}, {"ref": "akanemiyata/house-prices-work", "kernel_id": "50978221"}, {"ref": "namishjindal4/houseprices-advanced-regression-techniques", "kernel_id": "50422360"}, {"ref": "nishthakumari20/house-prices-advanced-regression-techniques", "kernel_id": "50353945"}, {"ref": "tarndeepsingh16/house-prices-advanced-regression-techniques", "kernel_id": "50118196"}, {"ref": "ananyagupta184/notebook8b4f777f45", "kernel_id": "50788121"}, {"ref": "ishph102016098/house-pred-adv-regrssn-technqs-xgb-ada-boost", "kernel_id": "50353878"}, {"ref": "saanvi004/house-prices-random-forest", "kernel_id": "50812493"}, {"ref": "bhavikasaini/house-prices-advanced-regression", "kernel_id": "50980169"}, {"ref": "yatinkundra666/house-price-prediction", "kernel_id": "50110397"}, {"ref": "prikshitbhagat1/prikshit-hose-price", "kernel_id": "50687021"}, {"ref": "candidoalefe/house-prices", "kernel_id": "50083500"}, {"ref": "ethanabimelech/house-prices-eda-xgboost", "kernel_id": "50919718"}, {"ref": "ethanabimelech/house-pricing-neural-network", "kernel_id": "50413888"}, {"ref": "mushtaqahemad/mushtaq-house-prediction-data-random-forest", "kernel_id": "50951950"}, {"ref": "swapnilingle/house-price-prediction01", "kernel_id": "50090374"}, {"ref": "inashussain/eda-assignment1-inashussainmahir", "kernel_id": "50133902"}, {"ref": "solisd/myfirstml", "kernel_id": "50695120"}, {"ref": "saketk101/house-prices-prediction-using-tfdf", "kernel_id": "50454106"}, {"ref": "yuvam21/house-price-prediction", "kernel_id": "50783159"}, {"ref": "nnejionuoha/house-price-prediction-project-main", "kernel_id": "50697762"}, {"ref": "nnejionuoha/house-price-prediction-tech4dev", "kernel_id": "50664034"}, {"ref": "nnejionuoha/notebookc073689903", "kernel_id": "50515457"}, {"ref": "rohanpolavaram/lab-3", "kernel_id": "50831708"}, {"ref": "sendr73/wits-project-boston-housing-notebook-rdng", "kernel_id": "50872807"}, {"ref": "derslerytu/notebookf7613f275c", "kernel_id": "51046533"}, {"ref": "kishoresabbavarapu/house-price-prediction-boosting", "kernel_id": "51284992"}, {"ref": "mina99/housingprediction-mina", "kernel_id": "51134114"}, {"ref": "wenchenhuang/notebook12673a415e", "kernel_id": "51145558"}, {"ref": "saeeeae/house-price-prediction", "kernel_id": "51468404"}, {"ref": "vemendez/house-prices-prediction-using-tfdf", "kernel_id": "51050121"}, {"ref": "srilalithagarapati/house-price-prediction-regression-technics", "kernel_id": "51653869"}, {"ref": "tokuma0910/houseprice-eda", "kernel_id": "51208460"}, {"ref": "tokuma0910/baseline-houseprice", "kernel_id": "51248510"}, {"ref": "jhansisri/houseprice-eda-pipeline", "kernel_id": "51256367"}, {"ref": "oleksiiostrovskyi/notebook8715b6834b", "kernel_id": "51286303"}, {"ref": "giraffe85cm/house-prices-baseline", "kernel_id": "51659309"}, {"ref": "sprojects18/house-prices-competition", "kernel_id": "51238187"}, {"ref": "ligala/house-prices-prediction-boston", "kernel_id": "51571332"}, {"ref": "amalsalilan/comprehensive-data-exploration-with-python", "kernel_id": "51057799"}, {"ref": "ifandwicahya/home-price-prediction-lstm", "kernel_id": "51703993"}, {"ref": "ahmedelsany/house-prices-prediction", "kernel_id": "51071646"}, {"ref": "salsabilanmahmudah/house-prices-prediction", "kernel_id": "51227871"}, {"ref": "zahrazolghadr/house-price-preparation", "kernel_id": "51575783"}, {"ref": "sandeepgauti/eda-feature-engineering", "kernel_id": "51783796"}, {"ref": "yigitkasapoglu/house-price-eda-prediction-with-bayesian-ridge", "kernel_id": "51201798"}, {"ref": "hsiaochienshih/housing-prices-prediction", "kernel_id": "51547631"}, {"ref": "treycastle/housingprediction", "kernel_id": "51134133"}, {"ref": "sakshemgotekar/house-prediction-using-stacking", "kernel_id": "51054314"}, {"ref": "ndohmoise/house-price-prediction-eda-decisiontreeregress", "kernel_id": "51743991"}, {"ref": "ndohmoise/house-price-prediction-eda-randomforestregressor", "kernel_id": "51743274"}, {"ref": "max3js/house-prices-prediction", "kernel_id": "51020409"}, {"ref": "nvernier/kaggle-competition-rezel-ia", "kernel_id": "51977831"}, {"ref": "chanchal24/heart-disease-eda-prediction-7-model-90-accuracy", "kernel_id": "51590126"}, {"ref": "kapoorprakhar/house-prices-predication", "kernel_id": "51112977"}, {"ref": "dineshram13/house-price-prediction-using-advance-techniques", "kernel_id": "51258835"}, {"ref": "kathyx53/house-prices-prediction-with-pytorch", "kernel_id": "51241362"}, {"ref": "brianalvarez/brian-housingprediction", "kernel_id": "51134119"}, {"ref": "pavelborisenko/housepriceprediction", "kernel_id": "51043102"}, {"ref": "vanpatangan/house-prices-using-mi-for-feature-selection", "kernel_id": "51632004"}, {"ref": "josephmurage/notebooke2653e4a04", "kernel_id": "51261603"}, {"ref": "aigerimtokhmetova/house-catboost", "kernel_id": "51088193"}, {"ref": "mukandkrishna/cheatsheet-70-ggplot-charts", "kernel_id": "51293254"}, {"ref": "syednazmussakib/housing-price-advanced-regression", "kernel_id": "51871352"}, {"ref": "shimaakhaled/house-prices-predictions-using-random-forest", "kernel_id": "51894837"}, {"ref": "davidpam/house-price-prediction-using-randomforestregressor", "kernel_id": "51611094"}, {"ref": "yvvonjemmy/notebook700df5ed9c", "kernel_id": "51156477"}, {"ref": "yvvonjemmy/notebook34c535466f", "kernel_id": "51283069"}, {"ref": "amanalobaytha/house-prices", "kernel_id": "51617370"}, {"ref": "haseebwar07/house-price-prediction-linear-regression", "kernel_id": "51659816"}, {"ref": "mochammaditmamulwafa/house-prices-advanced-regression-techniques", "kernel_id": "51423764"}, {"ref": "assemismail/house-prices-predictions-using-linear-regression", "kernel_id": "51838213"}, {"ref": "thecheesebloodprince/stemist-machine-learning-code-along", "kernel_id": "51013110"}, {"ref": "kartikkumaria/house-price-using-tensorflow-and-pycaret", "kernel_id": "51112310"}, {"ref": "mohamednasser126/house-price-prediction-top-3-beginner-guide", "kernel_id": "51658274"}, {"ref": "enriquecompanioni/house-price-predictions-competition", "kernel_id": "51890983"}, {"ref": "harshvgh/house-price-prediction-linear-regression", "kernel_id": "51614140"}, {"ref": "arnau6/multiple-linear-regression-house-price", "kernel_id": "51706714"}, {"ref": "samiharahmann/house-prices-hyperparameter-tuning", "kernel_id": "51492276"}, {"ref": "mohitgupta12/advance-house-price-prediction", "kernel_id": "51859281"}, {"ref": "abubacker/house-prices-advanced-regression-techniques-dl", "kernel_id": "51881028"}, {"ref": "hagarmohamed6602/regression", "kernel_id": "51596581"}, {"ref": "curtiscoding1/house-prices-ridge-regression", "kernel_id": "51427172"}, {"ref": "ahmadthedatalover/house-price-prediction-advance-regression", "kernel_id": "51132306"}, {"ref": "jpedrou/house-prices-prediction", "kernel_id": "51421092"}, {"ref": "fatihkgg/house-price-prediction-blended-stack-0-122", "kernel_id": "51421099"}, {"ref": "sheepca/analysis-house-price-predictor", "kernel_id": "51957291"}, {"ref": "nanmanaslin/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "51099158"}, {"ref": "yunasheng/automate-your-eda-and-understand-the-data-quickly", "kernel_id": "51495532"}, {"ref": "yunasheng/violin-plot", "kernel_id": "51018285"}, {"ref": "itsuki0313/notebook6b609d8a2e", "kernel_id": "51510368"}, {"ref": "bengisuylmaz/house-price-prediction", "kernel_id": "51185675"}, {"ref": "rcanossa/house-prices-advanced-regression-in-r", "kernel_id": "51239683"}, {"ref": "yashpuri1912/house-price-pred", "kernel_id": "51779073"}, {"ref": "audreywarrene/audreywarrene-housingprediction", "kernel_id": "51237689"}, {"ref": "omaraboelnaga/house-prices-advanced-ml-techniques", "kernel_id": "51897646"}, {"ref": "wishyun/house-price-predictions", "kernel_id": "51430440"}, {"ref": "buluttok/bulutlab19-housingprediction", "kernel_id": "51134109"}, {"ref": "proiz92/houseprices", "kernel_id": "51127860"}, {"ref": "ahmedmagdyhosney/house-prices-linreg-hyperopt-tuning", "kernel_id": "51270645"}, {"ref": "ahmedmagdyhosney/house-prices-linreg-hyperparam-tuning", "kernel_id": "51238888"}, {"ref": "bo0000000000/house-prices-of-gia-bao", "kernel_id": "51835530"}, {"ref": "bo0000000000/house-price-hg-bao", "kernel_id": "51881695"}, {"ref": "nghiathe/39-nguyenthenghia-0-14737-2070", "kernel_id": "51984547"}, {"ref": "caoboizutru/house-price-prediction-linear-regression", "kernel_id": "51984130"}, {"ref": "caoboizutru/11-nguy-n-c-d-ng", "kernel_id": "51983843"}, {"ref": "nguynhoingc/house-price-predict", "kernel_id": "51988501"}, {"ref": "jordantardis15/jordanbell-housingpredictionpca", "kernel_id": "51595210"}, {"ref": "jordantardis15/bell-housingprediction2", "kernel_id": "51134140"}, {"ref": "alliehumphrey/alliehumphrey-housingprediction-4-5", "kernel_id": "51609607"}, {"ref": "mohamedgobara/house-price-prediction-using-linear-regression", "kernel_id": "51841610"}, {"ref": "andresmembrillo/house-prices-pipeline-eda", "kernel_id": "51838395"}, {"ref": "cheshtbiala/house-prices-advanced-regression-techniques", "kernel_id": "51516128"}, {"ref": "hanyjr/house-price-analysis-preprocessing-and-prediction", "kernel_id": "51536934"}, {"ref": "dotienoanh/7-dotienoanh-buoi3", "kernel_id": "51878418"}, {"ref": "masayuki0703/house-prices-masayuki-matsumoto", "kernel_id": "51876114"}, {"ref": "annguyen28/01-nguy-n-ng-c-an-0-15769-2655", "kernel_id": "51980942"}, {"ref": "juggernautto/random-forest-mssubclass", "kernel_id": "51058790"}, {"ref": "navaal/house-price-prediction-notebook", "kernel_id": "51176931"}, {"ref": "ryoichinose/housepriceexpectation", "kernel_id": "51078188"}, {"ref": "matviienko1992/notebook8d068a984d", "kernel_id": "51062375"}, {"ref": "omorfaru/house-price-prediction-multi-model-comparison", "kernel_id": "51675432"}, {"ref": "omorfaru/eda-of-dataset", "kernel_id": "51453474"}, {"ref": "dinhthanhnam/house-prices-advanced-regression-techniques", "kernel_id": "51984384"}, {"ref": "terisimp/testnotebook", "kernel_id": "51864109"}, {"ref": "sonialikhan/house-prices-advanced-regression-techniques", "kernel_id": "51102498"}, {"ref": "majidovdiyorbek/house-prices-linearregression", "kernel_id": "51165814"}, {"ref": "hungtulenh/notebook6e2598cd82", "kernel_id": "51981807"}, {"ref": "paphaphata/for-personal-house-eda-practice", "kernel_id": "51865319"}, {"ref": "mahmudulhaqueshawon/randomforestclassifier-100-acc", "kernel_id": "51610533"}, {"ref": "haiyen03/73-ho-ng-h-i-y-n", "kernel_id": "51834021"}, {"ref": "krishnaharsham/advanced-housing-price-regression-notebook", "kernel_id": "51266447"}, {"ref": "kunihironakajima/n-20240219-house", "kernel_id": "51090058"}, {"ref": "fumihikotanaka/2024-02-21-kaggle-homework", "kernel_id": "51200993"}, {"ref": "nozomutakenaka/house-prices-edit", "kernel_id": "51457317"}, {"ref": "chienakamae/20240218-house-price", "kernel_id": "51069118"}, {"ref": "akihiroyoshioka/house-prices-eda", "kernel_id": "51201875"}, {"ref": "savird/house-prices-using-random-forest", "kernel_id": "51611924"}, {"ref": "ray1381/house-prices", "kernel_id": "51011285"}, {"ref": "ryousukekono/house-price-targetencording-screening", "kernel_id": "51199760"}, {"ref": "ryousukekono/house-price-2", "kernel_id": "51193115"}, {"ref": "ryousukekono/house-price-1", "kernel_id": "51098396"}, {"ref": "sirinbsa/housing-prices-prediction", "kernel_id": "51908459"}, {"ref": "ksh000325/xgb-lgbm-techniques-insightful-predictions", "kernel_id": "51880743"}, {"ref": "masarusato/ase-step1-house-prices-model", "kernel_id": "51667752"}, {"ref": "masafumiashikaga/house-prices", "kernel_id": "51137285"}, {"ref": "adityakharbanda25/housing-prices-prediction-xgboost-pipeline", "kernel_id": "51198018"}, {"ref": "omotohiroki/house-prices-1", "kernel_id": "51142650"}, {"ref": "hasnienfarazee/house-price-data-analysis", "kernel_id": "51057895"}, {"ref": "adityagoel2205/housepricing", "kernel_id": "51089296"}, {"ref": "kazutoyamagashira/house-prices-20240229", "kernel_id": "51545219"}, {"ref": "takeshigohda/house-setp1", "kernel_id": "51101998"}, {"ref": "takeshigohda/house-step2", "kernel_id": "51956068"}, {"ref": "climstefan/house-prices-advanced-regression-techniques", "kernel_id": "51521868"}, {"ref": "festusribiro/scaling-assignment", "kernel_id": "51595492"}, {"ref": "aspyrin77/house-prices-prediction-using-tree-based-models", "kernel_id": "51175674"}, {"ref": "s5hinan/notebook33649bd827", "kernel_id": "51221835"}, {"ref": "inashussain/hyperparam-tuning-exercise", "kernel_id": "51481013"}, {"ref": "alirizaercan/house-price-prediction-xgboost-advanced-reg", "kernel_id": "51084032"}, {"ref": "royrubinse/inbarzafarandroyrubinnotebook2", "kernel_id": "51686913"}, {"ref": "ravidmasalton/assignment4", "kernel_id": "51467552"}, {"ref": "vedangimanisrikar/house-price-prediction", "kernel_id": "51885802"}, {"ref": "noamlaub/gal-israeli-318865813-noam-laub-209700897", "kernel_id": "51470060"}, {"ref": "benmendelson04/house-prices-ml", "kernel_id": "51651129"}, {"ref": "tylerblack117/tylerblack-housingprediction", "kernel_id": "51134043"}, {"ref": "dnathan22/davis-housingprediction", "kernel_id": "51134107"}, {"ref": "bryceadk/bryce-04-01-2024-housingprediction", "kernel_id": "51134181"}, {"ref": "phillipnikolov/phillip-nikolov-housingprediction", "kernel_id": "51134116"}, {"ref": "cashelfitz/ece460j-lab-5", "kernel_id": "51810286"}, {"ref": "mostafaelhabashy/house-price-best-practice", "kernel_id": "51067600"}, {"ref": "akivayitzchaklevitt/merged", "kernel_id": "51920568"}, {"ref": "fasalmohammadh11/xgb-house-price-prediction", "kernel_id": "51123428"}, {"ref": "michaellaitzhak/hw2-michaella-ichak-209085422", "kernel_id": "51917869"}, {"ref": "victory1day/notebook2ff5db89a9", "kernel_id": "51232074"}, {"ref": "lijato/notebook0f1f62a4a5", "kernel_id": "51266936"}, {"ref": "elhadeka/advanced-regression-techniques", "kernel_id": "51603060"}, {"ref": "arti10/house-pricing", "kernel_id": "51432818"}, {"ref": "amanrana4432/notebookd024ce157d", "kernel_id": "51458345"}, {"ref": "migueldelillo/simple-randomforestregression", "kernel_id": "51794058"}, {"ref": "ynvytrn/15-tr-n-y-n-vy", "kernel_id": "51857096"}, {"ref": "hatrongcuong03/house-prices-prediction", "kernel_id": "51909615"}, {"ref": "minhcnguyntin/notebook7748b9ba4e", "kernel_id": "51921664"}, {"ref": "bimbim3011/house-pricehw-notebook", "kernel_id": "51929982"}, {"ref": "phunght03/submit", "kernel_id": "51927955"}, {"ref": "phmthtuyn/version2", "kernel_id": "51987291"}, {"ref": "hoangtrungvan/gia-nha-htv-72", "kernel_id": "51987053"}, {"ref": "nhtrnhthlan/06-trinhthilananh-sample-notebook", "kernel_id": "51984725"}, {"ref": "vuthiphuongnhung/v-th-ph-ng-nhung-btvn-bu-i-3", "kernel_id": "51989283"}, {"ref": "fjayres/notebook-para-meus-alunos", "kernel_id": "52955809"}, {"ref": "wjchua/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "52491255"}, {"ref": "nandubc/housing-price-prediction-advanced", "kernel_id": "52023331"}, {"ref": "tamilselvanarjunan/advanced-house-price-prediction", "kernel_id": "52584167"}, {"ref": "shinkom/housepricepredictioneda", "kernel_id": "52828114"}, {"ref": "karan131/house-prices-ridge-regression", "kernel_id": "52677354"}, {"ref": "sci3nt/ds-learn-how-machines-learn-regression", "kernel_id": "52032076"}, {"ref": "cigdems/houseprice-prediction-model", "kernel_id": "52995503"}, {"ref": "aftabashrafav/best-cleaned-house-price", "kernel_id": "52361916"}, {"ref": "gladyswahito/house-price-prediction", "kernel_id": "52476903"}, {"ref": "pedrodematos/house-prices-successful-frameworks-for-regression", "kernel_id": "52797422"}, {"ref": "bunny11/house-price-prediction", "kernel_id": "52918123"}, {"ref": "metehankantemir/house-price-advanced-resression-tech", "kernel_id": "52486894"}, {"ref": "alicanpayasli/first-try-top-30-feature-selection", "kernel_id": "52671789"}, {"ref": "miya3838/house-prices-miya", "kernel_id": "52329282"}, {"ref": "mikono/notebook2bd24d9ab5", "kernel_id": "52457610"}, {"ref": "moonisj/housing-price-xgb-regressor", "kernel_id": "52746141"}, {"ref": "vitanhon/house-price-prediction-with-neural-network", "kernel_id": "52860243"}, {"ref": "gabriellailena/house-prices-prediction", "kernel_id": "52989440"}, {"ref": "burcakaydn/house-price-prediction", "kernel_id": "52712997"}, {"ref": "rizkiatthoriqhidayat/house-price-prediction-ensemble-models", "kernel_id": "52225306"}, {"ref": "joshhaber/house-prices-eda-rr-gridsearch", "kernel_id": "52524758"}, {"ref": "omeraydogddu/preidiction-house-price", "kernel_id": "52960441"}, {"ref": "phuonghenry/house-price-prediction-with-linear-regression", "kernel_id": "52904344"}, {"ref": "brunameinberg/notebook69546a7ccc", "kernel_id": "52954417"}, {"ref": "abilaashrajesh/house-price-prediction", "kernel_id": "52854207"}, {"ref": "mohsinsial/house-price-prediction", "kernel_id": "52600873"}, {"ref": "carloscll/autogluon-feature-importance-house-price", "kernel_id": "52201581"}, {"ref": "jaymehta251203/house-price", "kernel_id": "52431410"}, {"ref": "jaymehta251203/house-price-final-submit", "kernel_id": "52666191"}, {"ref": "kalebk16/housingpricecomp", "kernel_id": "52458605"}, {"ref": "anak1st/linear-regression", "kernel_id": "52590451"}, {"ref": "vishnupriyagarige/house-prices-pipeline", "kernel_id": "52550789"}, {"ref": "hajarlbhyry/house-price-prediction", "kernel_id": "52504862"}, {"ref": "shazilshaikh/best-hp-tuned-model-selection-regression", "kernel_id": "52764150"}, {"ref": "clayton21/simple-multivariate-lr-with-gradient-descent", "kernel_id": "52592433"}, {"ref": "jerengunnels/house-prices-j-gunnels", "kernel_id": "52058041"}, {"ref": "sanjay3454chauhan/imputation-and-linear-regression", "kernel_id": "52232762"}, {"ref": "abdelrahmanalsaify/mid-termproject", "kernel_id": "52367377"}, {"ref": "aidinhan/simple-way-to-house-prices", "kernel_id": "52718375"}, {"ref": "vusalmusazade/notebook9b723c8362", "kernel_id": "52282835"}, {"ref": "anikethhhh/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "52735159"}, {"ref": "pr0va1der2/notebook-house-prices", "kernel_id": "52568416"}, {"ref": "ginzex/f-alexander-ginzburg-208839613-ex-2", "kernel_id": "52128357"}, {"ref": "adends/neural-network-with-embeddings-for-house-prices", "kernel_id": "52865820"}, {"ref": "reshmaknadaf/housepriceprediction", "kernel_id": "52913540"}, {"ref": "uurdemirkaya/house-price-prediction", "kernel_id": "52170046"}, {"ref": "danielmcampos/house-prices-7-gradient-boosting", "kernel_id": "52436108"}, {"ref": "dat00700/house-price-analysis", "kernel_id": "52692123"}, {"ref": "madkir/house-prices-with-catboost", "kernel_id": "52905548"}, {"ref": "akshatdarji/housepricecomp", "kernel_id": "52470594"}, {"ref": "sakethyalamanchili/house-price-prediction", "kernel_id": "52024855"}, {"ref": "buluttok/buluthousinghw", "kernel_id": "52664767"}, {"ref": "ahmedmagdyhosney/house-price-linearreg-with-stacking", "kernel_id": "52374754"}, {"ref": "adhamad0/house-prices", "kernel_id": "52165266"}, {"ref": "middlehigh/house-predictions-using-ensembling", "kernel_id": "52379600"}, {"ref": "nurhanuzun/ev-fiyat-tahmini", "kernel_id": "52631522"}, {"ref": "leonidvashchyn/automatic-eda-model-comparison", "kernel_id": "52607035"}, {"ref": "drkaggle22/house-pricing-solution-using-gradientboosting", "kernel_id": "52030779"}, {"ref": "nguyenduccong301020/notebookbd5115d9d8", "kernel_id": "52203912"}, {"ref": "tuckermaccallum/house-prices-predictions", "kernel_id": "52436468"}, {"ref": "mohansharma0111/houseprice-prediction", "kernel_id": "52375189"}, {"ref": "markmedhat/house-prices-advanced-regression-techniques", "kernel_id": "52553106"}, {"ref": "anonminhkhnh/house-price-challenge", "kernel_id": "52359160"}, {"ref": "saimondahal/housepriceprediction-eda-catboost", "kernel_id": "52208174"}, {"ref": "thomas1999h/thomasdcg", "kernel_id": "52220462"}, {"ref": "dungnhi/notebook39a29194b2", "kernel_id": "52342430"}, {"ref": "dideagoc/house-price-prediction-using-feature-selection", "kernel_id": "52764737"}, {"ref": "paphaphata/house-eda-practice-w-completed-explaination", "kernel_id": "52228765"}, {"ref": "haiyen03/64-hoanghaiyen-0-19284-3374", "kernel_id": "52436328"}, {"ref": "kunihironakajima/n-20240314-house", "kernel_id": "52572554"}, {"ref": "fumihikotanaka/2024-03-12-kaggle-homework", "kernel_id": "52488063"}, {"ref": "ray1381/fork-of-house-prices-4baa1d", "kernel_id": "52963702"}, {"ref": "satoshinakamoto2023/house-prices", "kernel_id": "52513563"}, {"ref": "granddev/notebookfa4c89306e", "kernel_id": "52045880"}, {"ref": "jaisaikamal/house-prices-predictions", "kernel_id": "52848620"}, {"ref": "dzulfikrialwi/random-forest-regression-house-price", "kernel_id": "52406368"}, {"ref": "masayukiishizaka/notebookb7234d10ac", "kernel_id": "52481198"}, {"ref": "omotohiroki/house-prices-2", "kernel_id": "52394043"}, {"ref": "nekloyh/housepredict", "kernel_id": "52010375"}, {"ref": "meisammalekmohammadi/house-prices-competition", "kernel_id": "52042579"}, {"ref": "ddaawwaa/houseprices-baseline", "kernel_id": "52194556"}, {"ref": "tosinwilliams/house-prices", "kernel_id": "52700424"}, {"ref": "aaliyahraderberg/houseprices-art", "kernel_id": "52117436"}, {"ref": "royrubinse/inbarzafarandroyrubinnotebook4", "kernel_id": "52725127"}, {"ref": "ara001/average-prediction", "kernel_id": "52171005"}, {"ref": "galsaid/assignment-2", "kernel_id": "52315869"}, {"ref": "talmiz/exercise2", "kernel_id": "52250849"}, {"ref": "victorhiga/house-prices-quick-dirty-with-rf-score-0-149", "kernel_id": "52953995"}, {"ref": "katyat227/katya-and-daniell-ml2", "kernel_id": "52173160"}, {"ref": "tylerblack117/tylerblack-housingprediction-clustering", "kernel_id": "52603259"}, {"ref": "bryceadk/03-13-2024-housingprediction", "kernel_id": "52604813"}, {"ref": "phillipnikolov/phillip-nikolov-housingprediction-kmeans", "kernel_id": "52603227"}, {"ref": "yuvalzaltsman/yuval-zaltsman-205908429-itay-nuriel-208959", "kernel_id": "52293781"}, {"ref": "yuvalzaltsman/notebook25cc02f71d", "kernel_id": "52040331"}, {"ref": "yairzeruya/yairzeruya-206914392-adifinkelman-313741340-house", "kernel_id": "52296190"}, {"ref": "tayyibeateken/my-first-ever-machine-learning-model", "kernel_id": "52931257"}, {"ref": "dkhalfani/housing-prices-linear-regression-beginner", "kernel_id": "52256083"}, {"ref": "akiyukimitamura/house-price-20240316", "kernel_id": "52771687"}, {"ref": "nguyenthanhhoa/21-nguy-n-thanh-hoa", "kernel_id": "52341733"}, {"ref": "kieuchang/hakieutrang", "kernel_id": "52355109"}, {"ref": "kieuchang/hakieutrang-buoi4", "kernel_id": "52363178"}, {"ref": "phmnguynngcmai/32-phamnguyenngocmai", "kernel_id": "52354865"}, {"ref": "hoangtrungvan/htv-htv-s", "kernel_id": "52407710"}, {"ref": "naoki89/house-price-prediction", "kernel_id": "52010046"}, {"ref": "sergiumedrea/house-price-regression", "kernel_id": "52355828"}, {"ref": "juliadeswartdcg/notebookjuliadcg", "kernel_id": "52220548"}, {"ref": "zbindenzahlen/housing-price-grid-search-and-feature-selection", "kernel_id": "52961120"}, {"ref": "datk14/datkaito14", "kernel_id": "52357008"}, {"ref": "mohammedabdelaleem1/comprehensive-data-exploration-with-python", "kernel_id": "52829570"}, {"ref": "sydoruk0ksana/house-prices-prediction-using-tfdf", "kernel_id": "52918457"}, {"ref": "viktorvolchok/house-prices-advanced-regression-techniques", "kernel_id": "52867111"}, {"ref": "ozawatetsuya/notebook4d372e80b2", "kernel_id": "52925216"}, {"ref": "artemgalkin/house-prices-catboost-regression-v-0-1", "kernel_id": "53033569"}, {"ref": "asubasi/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "53408831"}, {"ref": "tanakataro73/kaggle-book-shinoda-chapter-0401-0412-house-prices", "kernel_id": "53635522"}, {"ref": "mingee/houseprice-v1", "kernel_id": "53050490"}, {"ref": "nagarjungopala/housing-price-prediction-gridsearchcv", "kernel_id": "53784355"}, {"ref": "nagarjungopala/housing-price-prediction-randomforests", "kernel_id": "53843502"}, {"ref": "rezashokrzad/house-price-prediction-using-regression-models", "kernel_id": "53517635"}, {"ref": "mlandi75/regression-with-linear-models-and-randomforest", "kernel_id": "53551444"}, {"ref": "hseynbozkurt/house-prices-advanced-regression-techniques", "kernel_id": "53604197"}, {"ref": "jackjai/house-prices-prediction-using-tfdf", "kernel_id": "53838175"}, {"ref": "jackjai/house-prices-advanced-regression-tech", "kernel_id": "53558185"}, {"ref": "uurdndr/house-price-prediction-machine-learning-models", "kernel_id": "53145560"}, {"ref": "omega11/lr-model-missing-values-handled", "kernel_id": "53907920"}, {"ref": "aminhosseini98/notebooke10e95a3e9", "kernel_id": "53080497"}, {"ref": "subhashsingh12/notebook7067b8653f", "kernel_id": "53583218"}, {"ref": "mohdshahnawazaadil/house-prices-prediction", "kernel_id": "53383933"}, {"ref": "conalhenderson/regression-model-tuning-and-blending", "kernel_id": "53653922"}, {"ref": "conalhenderson/feature-engineering-oop-pipeline", "kernel_id": "53672917"}, {"ref": "les1781/house-prices-competition", "kernel_id": "53829766"}, {"ref": "souravhada/house-price-advanced-regression-techniques", "kernel_id": "53379751"}, {"ref": "juba231/home-price-prediction", "kernel_id": "53654685"}, {"ref": "subhamchauhan1100/housepricepred", "kernel_id": "53681336"}, {"ref": "prarid/featureengineering-and-regularizedregression", "kernel_id": "53524615"}, {"ref": "kamal2026/stacking-regressor-rmse-0-14393", "kernel_id": "53178643"}, {"ref": "kishantripathi8/house-prices-regression", "kernel_id": "53720460"}, {"ref": "vishnumuralikrishnan/housingprices", "kernel_id": "53813160"}, {"ref": "romanniki/abalone-eda-mi-psa-lr-dt-rf-cb-xg", "kernel_id": "53094153"}, {"ref": "gururajhalemani/house-price", "kernel_id": "53779449"}, {"ref": "rahulkumardogra2118/house-prices-various-models-ridge-lasso-gb-xgb-rf", "kernel_id": "53413603"}, {"ref": "mariaclaralucas/regremalucas", "kernel_id": "53581715"}, {"ref": "abhishekmaher/house-price", "kernel_id": "53603789"}, {"ref": "utkuefeakdoan/advanced-housing-prices-eda-and-model-selecting", "kernel_id": "53417090"}, {"ref": "hjiseok/house-is-so-expensive", "kernel_id": "53690672"}, {"ref": "middlehigh/ensembling-hypertuning-for-houseprice-prediction", "kernel_id": "53012074"}, {"ref": "kpoviesistphane/house-prices-analysis-with-python", "kernel_id": "53566880"}, {"ref": "tonnyk/tonny-house-prices", "kernel_id": "53653678"}, {"ref": "onchuy/house-price-models", "kernel_id": "53808654"}, {"ref": "antonious512/house-price-prediction", "kernel_id": "53999696"}, {"ref": "phmmnhtng/house-prices-md", "kernel_id": "53832835"}, {"ref": "shawngclee/prediction-models-for-housing-prices", "kernel_id": "53376705"}, {"ref": "cseongz/csm-houseprice", "kernel_id": "53654139"}, {"ref": "phmthhngduyn/hvnh1961", "kernel_id": "53805095"}, {"ref": "himanshux7/competition-1", "kernel_id": "53470222"}, {"ref": "himanshux7/house-prices-various-models-ridge-lasso-gb-xgb-rf", "kernel_id": "53475122"}, {"ref": "himanshux7/house-prices-advanced-regression-techniques", "kernel_id": "53475828"}, {"ref": "bilgehanyaylali/house-prediction-lgbmregressor", "kernel_id": "53852500"}, {"ref": "lngngctun/l-ng-ng-c-tu-n", "kernel_id": "53810906"}, {"ref": "annguyen28/house-prices-prediction", "kernel_id": "53611480"}, {"ref": "jiinuukim/house-prices", "kernel_id": "53490428"}, {"ref": "shahzaibmalik44/ames-house-prediction-select-best-model", "kernel_id": "53257334"}, {"ref": "xiyuanwu/real-estate-analysis-7-ml-model-r-2-of-0-93", "kernel_id": "53591831"}, {"ref": "jacksonsingh/advanced-house-price-prediction", "kernel_id": "53776923"}, {"ref": "xaviercedric/house-price-model-with-gridcv-and-comparing-models", "kernel_id": "53500041"}, {"ref": "xavierfonseca/tf-decision-forests-regression-xavier-fonseca", "kernel_id": "53462113"}, {"ref": "elithabeth/housing-prices-competition-mine", "kernel_id": "53505085"}, {"ref": "masafumiashikaga/house-prices2", "kernel_id": "53366855"}, {"ref": "ryotahayasaka22/house-prices-top-3-3-on-leaderboard", "kernel_id": "53627625"}, {"ref": "siddhantjain03/house-prices-prediction-using-tfdf", "kernel_id": "53664642"}, {"ref": "kevinkollcaku/house-price-predictions", "kernel_id": "53287464"}, {"ref": "piotrniezabitowski/house-predictions", "kernel_id": "53762305"}, {"ref": "aaronfriasr/house-prices-advanced-regression-models", "kernel_id": "53553715"}, {"ref": "ryofujino0615/house-prices", "kernel_id": "53276867"}, {"ref": "ayushgharat17/housing7", "kernel_id": "53332022"}, {"ref": "ayushgharat17/housing8", "kernel_id": "53334255"}, {"ref": "ayushgharat17/housing6", "kernel_id": "53238676"}, {"ref": "ayushgharat17/housing9", "kernel_id": "53346524"}, {"ref": "ayushgharat17/housing13", "kernel_id": "53882908"}, {"ref": "ecemiscanli/house-price-prediction-w-advanced-methods", "kernel_id": "53198213"}, {"ref": "lko9911/house-prices-eda-modeling", "kernel_id": "53864132"}, {"ref": "jayasankad/try-out-2-tfdf", "kernel_id": "53217110"}, {"ref": "bryceadk/bryce-a-housing-a-r-t-04-03-2024", "kernel_id": "53898960"}, {"ref": "spnico/nickwilliams-ch4lab-april-3", "kernel_id": "53898902"}, {"ref": "trnghoigiang/house-price-predict", "kernel_id": "53967325"}, {"ref": "ayberkozen/house-prices-advanced-regression-techniques", "kernel_id": "53070718"}, {"ref": "takashifumoto/notebook-for-7-houseprices", "kernel_id": "53036636"}, {"ref": "satpassion/house-saleprice-xgboost", "kernel_id": "53166501"}, {"ref": "kimvuinguyn/house-prices-ml", "kernel_id": "53811850"}, {"ref": "anthonyktchang/xg-with-obj-columns-preprocessed", "kernel_id": "53897250"}, {"ref": "yoonsungka/notebook56258b67c6", "kernel_id": "53322692"}, {"ref": "mahendramedapati/house-prices-gradientboostingregressor", "kernel_id": "53451271"}, {"ref": "dominiktwardoch/proj-2-house-prices", "kernel_id": "53385852"}, {"ref": "minseonga/minseong-s-house-price", "kernel_id": "53915973"}, {"ref": "taylanyldrm/house-price-1", "kernel_id": "53219100"}, {"ref": "humayratamimmithila/202011001-house-price-data-analysis", "kernel_id": "53261788"}, {"ref": "mmaoqiu/price-predict-notebook", "kernel_id": "53442997"}, {"ref": "mmaoqiu/hpp-using-tfdf", "kernel_id": "53843087"}, {"ref": "chaaaangyu/data-preprocessing-feature-engineering-tutorial", "kernel_id": "53338511"}, {"ref": "jamespairepo/house-prices-prediction-using-tfdf", "kernel_id": "53390303"}, {"ref": "ajitps/notebook760ff126fc-hpp", "kernel_id": "53753010"}, {"ref": "cdr0101/house-price-regression", "kernel_id": "53966754"}, {"ref": "kiuahph/ai-ba", "kernel_id": "53788573"}, {"ref": "nguyenthihathu/house-prices-ml-4-3", "kernel_id": "53808974"}, {"ref": "sjoerdterlouw/week8-ml23", "kernel_id": "53854247"}, {"ref": "jessekoert/week8-ml23-jessekoert", "kernel_id": "53871743"}, {"ref": "karstno/week8-eliah-karst", "kernel_id": "53875358"}, {"ref": "svasbhat/week8-project-ml23", "kernel_id": "53882158"}, {"ref": "sanjeevramhit/house-price-calculation-methods-for-beginners", "kernel_id": "53992247"}, {"ref": "nikurida/house-prices-advanced-regression-techniques-2", "kernel_id": "53921036"}, {"ref": "eigenvalue42/top-2-submission-with-eda-and-mixed-effects-model", "kernel_id": "54991437"}, {"ref": "rinkusahu1/house-price-prediction", "kernel_id": "54972110"}, {"ref": "leolin123/house-prices-first-model-with-ddt-vand-rf", "kernel_id": "54511230"}, {"ref": "tnhan1806/g103-house-prices", "kernel_id": "54242966"}, {"ref": "tnhan1806/g103-vanilla-tf", "kernel_id": "54704196"}, {"ref": "djukka/notebook3a978540d7", "kernel_id": "54405731"}, {"ref": "songthn/notebookc9d9835296", "kernel_id": "54478952"}, {"ref": "okandeniz/house-price-prediction", "kernel_id": "54342331"}, {"ref": "ducnguyen123/house-price-g30", "kernel_id": "54743514"}, {"ref": "ereneris/house-price-predict", "kernel_id": "54409913"}, {"ref": "srishticrai/notebookd45945a306", "kernel_id": "54534840"}, {"ref": "vnqunv/tma-107", "kernel_id": "54940189"}, {"ref": "thaihuynh/house-price", "kernel_id": "54771457"}, {"ref": "binavgautam/carbon", "kernel_id": "54107423"}, {"ref": "sevdenurgenc/house-price-eda-and-prediction-with-ml", "kernel_id": "54358301"}, {"ref": "h3x4n1um/workshop-hands-on-projects-applying-deep-learning", "kernel_id": "54684620"}, {"ref": "jbyeon/houseprices-v0-01", "kernel_id": "54390011"}, {"ref": "tavod99/predicting-houses-using-anns-without-keras", "kernel_id": "54705915"}, {"ref": "maxgetuba/try-1-notebook-boston-housing-prices-competition", "kernel_id": "54612654"}, {"ref": "hobeomlee/prediction-stacked-regressions", "kernel_id": "54236576"}, {"ref": "sebasmanco/house-prices-xgboost", "kernel_id": "54277056"}, {"ref": "bjacharya/house-price-prediction-pycaret-score-above0-12", "kernel_id": "54392820"}, {"ref": "lthhngnhungfdvsdvx/group-31", "kernel_id": "54244602"}, {"ref": "lthhngnhungfdvsdvx/house-prices-advanced-regression", "kernel_id": "54244292"}, {"ref": "minhthnv/group-106-toc-vo", "kernel_id": "54844760"}, {"ref": "mehmetpek/fork-of-house-prices", "kernel_id": "54644038"}, {"ref": "jonasvannijnatten/house-prices-1-0", "kernel_id": "54580190"}, {"ref": "matthsmit/house-regression", "kernel_id": "54150283"}, {"ref": "andrstamsy/fork-of-firstattempt", "kernel_id": "54817289"}, {"ref": "aaronlee97/predicting-housing-price-regression", "kernel_id": "54301914"}, {"ref": "kenstory/house-price-with-xgboost", "kernel_id": "54961492"}, {"ref": "muhammadmagistra/house-price-prediction-88-04-accuracy", "kernel_id": "54360157"}, {"ref": "nguyenlebaothanh/house-price-prediction-group-51", "kernel_id": "54734845"}, {"ref": "alivahitaslan/house-price", "kernel_id": "54008729"}, {"ref": "loojacky/random-forest-to-predict-house-price", "kernel_id": "54066000"}, {"ref": "felipemarlon/house-prices-advanced-regression-techniques", "kernel_id": "54694748"}, {"ref": "giionngc/house-prices-build-model-with-tensorflow", "kernel_id": "54548528"}, {"ref": "sohileadel/pre-processing-task", "kernel_id": "54501764"}, {"ref": "carolinaemanuele/house-prices-analysis", "kernel_id": "54158386"}, {"ref": "minhnguyendai/housepriceeda", "kernel_id": "54024935"}, {"ref": "rafe12/catboost-r2-score-87-house-price-prediction", "kernel_id": "54399925"}, {"ref": "giangle2022/predict-house-price", "kernel_id": "54735842"}, {"ref": "brianalvarez/fork-of-brian-housingprediction", "kernel_id": "54304163"}, {"ref": "danielnaryshev/house-prices-prediction-using-tfdf", "kernel_id": "54097448"}, {"ref": "khaledshaheen/house-price-prediction-using-random-forest-regress", "kernel_id": "54012268"}, {"ref": "rohitsharma341/house-prices-advanced-regression-techniques", "kernel_id": "54918197"}, {"ref": "psleon8245/house-prices-prediction-with-numeric-data-pytorch", "kernel_id": "54397715"}, {"ref": "exployerindata/house-prices-eda-using-python", "kernel_id": "54264446"}, {"ref": "flagella/predicting-houses-prices-using-anns", "kernel_id": "54524185"}, {"ref": "sardarabdulmoizkhan/house-prices-advanced-regression-techniques", "kernel_id": "54358313"}, {"ref": "tarkhon/sorting-in-pandas", "kernel_id": "54815897"}, {"ref": "tarkhon/filtering-in-pandas", "kernel_id": "54224184"}, {"ref": "thanhphucao/tma-group-04-ai-advance", "kernel_id": "54909330"}, {"ref": "bartezky/house-prices-data-exploration", "kernel_id": "54945928"}, {"ref": "simfour/linear-regression-first-competition-submission", "kernel_id": "54982272"}, {"ref": "marcinkapiszewski/house-prices-data-mining", "kernel_id": "54159897"}, {"ref": "marcinkapiszewski/house-prices-data-mining-without-preprocessing", "kernel_id": "54983221"}, {"ref": "quocbao04/notebook-boston-housing-prices-linear-regression", "kernel_id": "54572937"}, {"ref": "mohitanand123/advanced-house-price-prediction", "kernel_id": "54522648"}, {"ref": "jandyndor/house-prices-advanced-regression-techniques", "kernel_id": "54119630"}, {"ref": "ryanferds/home-price-prediction", "kernel_id": "54789443"}, {"ref": "shadesh/house-prices-advanced-regression-techniques", "kernel_id": "54075580"}, {"ref": "amanaayush/notebook3b", "kernel_id": "54304658"}, {"ref": "nguyenphatit/house-prices-group-62", "kernel_id": "54321321"}, {"ref": "arpansin/house-price", "kernel_id": "54089247"}, {"ref": "ismexar/house-prices-advanced-regression-techniques", "kernel_id": "54256042"}, {"ref": "virtualshivam/house-prediction-regression", "kernel_id": "54484504"}, {"ref": "egorandreasyan/price-prediction-with-pytroch", "kernel_id": "54270536"}, {"ref": "seckinisbcr/house-prices-prediction", "kernel_id": "54141826"}, {"ref": "hikageshinomori/460-rank-score", "kernel_id": "54813138"}, {"ref": "vineetmehar/house-price-prediction", "kernel_id": "54232058"}, {"ref": "arpita712/house-price-regression", "kernel_id": "54574402"}, {"ref": "arthkumar2307/price-home", "kernel_id": "54514493"}, {"ref": "soumyajitjalua/house-price-prediction", "kernel_id": "54369991"}, {"ref": "luisflavio/notebook9c6185db8a", "kernel_id": "54103644"}, {"ref": "gauravbosamiya/house-price-prediction", "kernel_id": "54410260"}, {"ref": "abuchionwuegbusi/house-prices-prediction-advanced-regression", "kernel_id": "54973067"}, {"ref": "meloncc/house-prices-cat-lgb-xgb", "kernel_id": "54684262"}, {"ref": "meloncc/python-1", "kernel_id": "54586786"}, {"ref": "nvhuy0612/local-housepricesprediction-group72", "kernel_id": "54538591"}, {"ref": "nvhuy0612/house-prices-prediction-group72", "kernel_id": "54257783"}, {"ref": "lthieu37/house-prediction", "kernel_id": "54963468"}, {"ref": "oezlem/house-price-prediction", "kernel_id": "54218758"}, {"ref": "smitzaveri/linear-regression-house-prices-prediction", "kernel_id": "54861747"}, {"ref": "hnguyen252/ai-advance-group-58", "kernel_id": "54844008"}, {"ref": "iliagrishkin93/house-prices-advanced-regression-techniques", "kernel_id": "54230673"}, {"ref": "pankajaambalgi/house-prices-advanced-regression-techniques", "kernel_id": "54600030"}, {"ref": "rishikabhandari/notebookb40c7a492d", "kernel_id": "54151902"}, {"ref": "yuukiiwakura/regressoin-by-lightgbm", "kernel_id": "54727021"}, {"ref": "nhanaaa/notebookfb04cf74c5", "kernel_id": "54880930"}, {"ref": "nhanaaa/house-prices-group-20", "kernel_id": "54994958"}, {"ref": "nlhtrung/final1", "kernel_id": "54712017"}, {"ref": "nlhtrung/notebookfe746c0a69", "kernel_id": "54259043"}, {"ref": "tranquocviet123/group95-for-house-prices-tensorflow", "kernel_id": "54718574"}, {"ref": "mikez94/housepriceg75", "kernel_id": "54997672"}, {"ref": "nguynthanhthng/group-65-house-prices-prediction-project", "kernel_id": "54708280"}, {"ref": "quyenhua/group-18-house-prices", "kernel_id": "54410300"}, {"ref": "naopinaopi/house-price-prediction", "kernel_id": "54239367"}, {"ref": "phucleaaaa/ai-training-group-27", "kernel_id": "54989663"}, {"ref": "soumyaganesh12/competionsubmission-soumyaganesh", "kernel_id": "54530982"}, {"ref": "cuongnguyenchi/house-prices-group-41", "kernel_id": "54769161"}, {"ref": "ishph102016098/ridge-lasso-regression-xgboost-very-easy-sol", "kernel_id": "54213241"}, {"ref": "metehandemirkol/house-price-model", "kernel_id": "54843539"}, {"ref": "aysearslancanakci/house-price-prediction", "kernel_id": "54007359"}, {"ref": "uelbertborges/avaliando-casas", "kernel_id": "54121175"}, {"ref": "congnguyen12x2/ai-adv-training-workshop-1-63-house-prices", "kernel_id": "54843330"}, {"ref": "galsaid/assignment-4", "kernel_id": "54346154"}, {"ref": "katyat227/ml-4-danielle-and-katya", "kernel_id": "54453521"}, {"ref": "omri147852/notebookeca3af5264", "kernel_id": "54229076"}, {"ref": "samanvaysiddharth/houseprices101", "kernel_id": "54255500"}, {"ref": "yuvalzaltsman/assignment-4", "kernel_id": "54682843"}, {"ref": "zufkishon/tzuf-kishon-318989456-guy-honen-315043117-ex4", "kernel_id": "54142998"}, {"ref": "mykhailokaschiy/house-prices-prediction-top-25", "kernel_id": "54218784"}, {"ref": "elliotx1000/houseprice-regression-dnn-cv-short-benchmark", "kernel_id": "54950919"}, {"ref": "tainguyendinh/ai-advance-group-43", "kernel_id": "54994333"}, {"ref": "nathanaeltamirat/house-price", "kernel_id": "54604786"}, {"ref": "nathanaeltamirat/xgboost", "kernel_id": "54614527"}, {"ref": "dangduc411/tma-ai-advance-training-house-prices", "kernel_id": "54924614"}, {"ref": "nhoxxipo/workshop-70", "kernel_id": "54783946"}, {"ref": "devjareo/dj-house-prediction-competition", "kernel_id": "54161279"}, {"ref": "maqboolsaiyed/prodigy-ml-01", "kernel_id": "54545900"}, {"ref": "anetabaranska/house-prices-um", "kernel_id": "54587279"}, {"ref": "balix12/zad2-ucz-masz-finally", "kernel_id": "54432730"}, {"ref": "anastasiiaartemova/house-prices", "kernel_id": "54981822"}, {"ref": "edithsonaybar/ml-house-price", "kernel_id": "54374298"}, {"ref": "edithsonaybar/house-prediction-group-work", "kernel_id": "54357401"}, {"ref": "divu2001/house-prediction-using-tfdf", "kernel_id": "54073473"}, {"ref": "cheshta09/house-prices-advanced-regression", "kernel_id": "54208253"}, {"ref": "anthonyasher/ec524-anthony-xu", "kernel_id": "54759127"}, {"ref": "jacky1998/house-prices-regression", "kernel_id": "54721037"}, {"ref": "tienweihsu/house-prices-advanced-regression-techniques", "kernel_id": "54028289"}, {"ref": "ericheborges/house-prices-prediction", "kernel_id": "54063084"}, {"ref": "nttlieut165111/house-prices-group67", "kernel_id": "54345567"}, {"ref": "trungnguyentma/house-prices-prediction-group54", "kernel_id": "54409631"}, {"ref": "arsteni/submission-xgboost", "kernel_id": "54230251"}, {"ref": "ziyuezhoucatherine/house-price", "kernel_id": "54241417"}, {"ref": "xunphc/house-price", "kernel_id": "54668328"}, {"ref": "hohoangtma/tma-ai-advance-training-workshop-group-15", "kernel_id": "54872389"}, {"ref": "tranhominhthuan/house-price-prediction-group-89-test", "kernel_id": "54841892"}, {"ref": "thobeo/neuralnet", "kernel_id": "54285422"}, {"ref": "phutran83/notebook-phu5", "kernel_id": "54724183"}, {"ref": "truongphamnhat/houseprice-77", "kernel_id": "54330790"}, {"ref": "reintrinh1306/group-55-workshop-1-house-price", "kernel_id": "54337809"}, {"ref": "lhtinh/house-prices-group35-final-project", "kernel_id": "54996942"}, {"ref": "levanle/house-price-prediction-group-33", "kernel_id": "54780557"}, {"ref": "luanduong99/notebookc1e406065a", "kernel_id": "54547657"}, {"ref": "vygiang/gtv-ai", "kernel_id": "54994803"}, {"ref": "bangtran1510/house-price-prediction-test", "kernel_id": "54676068"}, {"ref": "tanhkhoa/house-prices-tensorflow", "kernel_id": "54800559"}, {"ref": "cweyyy/house-prices-advanced-regression-techniques", "kernel_id": "54319032"}, {"ref": "suntorytrung/house-price-group-6", "kernel_id": "54324294"}, {"ref": "hantrinh83/group-100-house-price", "kernel_id": "54326237"}, {"ref": "vinhnguyenhuu/house-prices-group-50", "kernel_id": "54869427"}, {"ref": "thongbq2005/group-2-house-prices", "kernel_id": "54936882"}, {"ref": "huanpm/house-prices-group-82", "kernel_id": "54411249"}, {"ref": "huynguyn178/house-prices-group-60", "kernel_id": "54534205"}, {"ref": "ttphuc/notebook-phu5-6f5fcc", "kernel_id": "54777635"}, {"ref": "nguyenquytoan/workshop-ai-advance-group61", "kernel_id": "54833259"}, {"ref": "nbbnam/notebook96ec570568", "kernel_id": "54955484"}, {"ref": "nhatnguyen34/houseprice-group-46", "kernel_id": "54956105"}, {"ref": "dinhong/house-prices-regression-group75", "kernel_id": "54441877"}, {"ref": "ardgeuze/week8-project-ml23", "kernel_id": "54379232"}, {"ref": "khahoang2112/notebookefdf41f12d", "kernel_id": "54725738"}, {"ref": "phungtran2024/ai-advance-training-group-96", "kernel_id": "54798396"}, {"ref": "timothybesigye/notebook6ee5ab750d", "kernel_id": "54561218"}, {"ref": "triuphngnam/house-prices-aatp-workshop-group-99", "kernel_id": "54800825"}, {"ref": "nguyenthuy13/house-price-updated", "kernel_id": "54652430"}, {"ref": "xuhuanrong/notebook02050ad766", "kernel_id": "54474586"}, {"ref": "sangnguyennhu/house-prices-workshop-1-group-57", "kernel_id": "54724675"}, {"ref": "steveloc/house-prices-prediction-group-19-tma", "kernel_id": "54961718"}, {"ref": "hungng17/group-49", "kernel_id": "54703554"}, {"ref": "sangngo2406/group-38-house-prices-ai-advance", "kernel_id": "54828185"}, {"ref": "trngkimtn/ai-tma-t-n", "kernel_id": "54814345"}, {"ref": "huyenpham13/tma-group-79-ai-advance", "kernel_id": "54783012"}, {"ref": "ngothisaoly/house-price-prediction-group-39", "kernel_id": "54829726"}, {"ref": "phmcphphc/house-prices-prediction-group-76", "kernel_id": "54955573"}, {"ref": "phuhoang17/ai-training-workshop-group17", "kernel_id": "54965380"}, {"ref": "kevinvermaat/ml-week-8-mathieu-kevin", "kernel_id": "54984407"}, {"ref": "saadinoyucu/fliensemble-learning-bagging-boosting-stacking", "kernel_id": "55124447"}, {"ref": "lutfiye/houseprice-v1", "kernel_id": "55620470"}, {"ref": "busatov/top-100", "kernel_id": "55559141"}, {"ref": "subho2026/housing-prices", "kernel_id": "55277450"}, {"ref": "tithikhan/housingprices-ridge-reg-lr-enet-lassoreg", "kernel_id": "55901660"}, {"ref": "csmohamedayman/ml-numc-mercari-price-suggestion-challenge", "kernel_id": "55377874"}, {"ref": "rintasetyon/house-prices-prediction-using-random-forest", "kernel_id": "55085434"}, {"ref": "karanshekhawat/house-prices-prediction-using-catboost-with-eda", "kernel_id": "55698490"}, {"ref": "bassantmohamed23/house-prices-advanced-regression-techniques", "kernel_id": "55996305"}, {"ref": "vnqunv/tma107-house-prices", "kernel_id": "55012887"}, {"ref": "asimnaeem/house-prices-data-analysis-and-regression-models", "kernel_id": "55220930"}, {"ref": "shwetharavioli/fork-of-house-regression-catboost-xgboost", "kernel_id": "55330233"}, {"ref": "raminhuseyn/house-prices-dataset-advanced-regression", "kernel_id": "55930288"}, {"ref": "jiya7316/economic-dataanalysis", "kernel_id": "55626923"}, {"ref": "thisiserfan/house-prices", "kernel_id": "55271429"}, {"ref": "somashekar39/house-prices-prediction", "kernel_id": "55136138"}, {"ref": "litvinenko630/house-prices-prediction", "kernel_id": "55939792"}, {"ref": "zohourdiaaeldin/automated-hyperparameter-tuning", "kernel_id": "55636984"}, {"ref": "tommy011/top-10-houses-prices-using-pycaret", "kernel_id": "55310329"}, {"ref": "nayanack/house-price-prediction", "kernel_id": "55155316"}, {"ref": "nhanhoangtruong/data-collection", "kernel_id": "55025046"}, {"ref": "mennatullaheisawy/house-price-prediction-using-lasso-regression", "kernel_id": "55522900"}, {"ref": "tariqcp/home-price-predictive-model", "kernel_id": "55337338"}, {"ref": "tanmayrannavare/notebook5cf08e5d6c", "kernel_id": "55960323"}, {"ref": "homaabedinzadeh/houseprice-stackcvregressor", "kernel_id": "55192705"}, {"ref": "abdelrahmanalsaify/hyperparameter-h-w", "kernel_id": "55631775"}, {"ref": "alfthrpy/feature-engineering-for-house-prices", "kernel_id": "55697890"}, {"ref": "hengpengkai/week8-project-ml23", "kernel_id": "55076451"}, {"ref": "furkansamedansacar/mid-term-study-set-2", "kernel_id": "55547590"}, {"ref": "furkansamedansacar/comp-468-midterm-exam-furkan-samed-ansa-ar", "kernel_id": "55555431"}, {"ref": "mimansari/ann-house-prices-predicton", "kernel_id": "55894388"}, {"ref": "idalez/house-prices-analysis-and-prediction", "kernel_id": "55169430"}, {"ref": "abdelhalemfathi/house-prices-prediction-advanced-regression", "kernel_id": "55742762"}, {"ref": "aldrinlambon/mljar-automl-for-house-prices-regression", "kernel_id": "55905791"}, {"ref": "athena21/house-prices-eda-lm-rf-xgb", "kernel_id": "55312622"}, {"ref": "surawutkittikaiwan/house-prices-prediction-using-xgboost", "kernel_id": "55343344"}, {"ref": "mamathanarne/submission-csv", "kernel_id": "55619942"}, {"ref": "alecparrott/house-prices-advancedregression", "kernel_id": "55558676"}, {"ref": "sathishgsmss/home-price-prediction", "kernel_id": "55379660"}, {"ref": "codyjanderson/bac-project", "kernel_id": "55386275"}, {"ref": "vishnupullela/house-prediction-using-linear-regression", "kernel_id": "55028050"}, {"ref": "vishnupullela/housepredusinglinregr2", "kernel_id": "55095105"}, {"ref": "karthikjodangi/notebook7ccf946799", "kernel_id": "55059069"}, {"ref": "zlemilhan/house-price-prediction", "kernel_id": "55701401"}, {"ref": "zaidali11/top-8-eda-feat-eng-catboost", "kernel_id": "55597855"}, {"ref": "marcelrojewski/house-prices-marcel-s-version-from-the-vault", "kernel_id": "55094300"}, {"ref": "chopper53/housepricepredictionusinggradientboosting", "kernel_id": "55117349"}, {"ref": "vasudevsrivastava/house-price-prediction-simplest-notebook-top-5", "kernel_id": "55679959"}, {"ref": "furkanblt35/house-prices-xgboost", "kernel_id": "55994962"}, {"ref": "kanakoino/notebookee8c91040b", "kernel_id": "55329210"}, {"ref": "oguzuzan/house-price-prediction", "kernel_id": "55080973"}, {"ref": "muhammadkashif724/house-price-submission", "kernel_id": "55887883"}, {"ref": "thanhht1902/house-prices-ai-advance-group-14", "kernel_id": "55004831"}, {"ref": "haithecatnguyen/tma-ai-group-74-housing-price", "kernel_id": "55022132"}, {"ref": "zeiadhany/notebook41dd4d2ea3-2358b9", "kernel_id": "55275305"}, {"ref": "ayushgharat17/housing-price-prediction-code-presentation", "kernel_id": "55885400"}, {"ref": "arnoldadi/housing-prices-competetion", "kernel_id": "55921387"}, {"ref": "ishmaelesmaeilrezaei/house-price-prediction", "kernel_id": "55920346"}, {"ref": "sergiumedrea/notebook2c83860bb2", "kernel_id": "55083037"}, {"ref": "ngtr6788/my-house-price-notebook", "kernel_id": "55854913"}, {"ref": "sanjeevramhit/week8-project-ml23-v2", "kernel_id": "55299349"}, {"ref": "shout1203/notebookd93b2ffa26", "kernel_id": "55063188"}, {"ref": "fatimajaffar110/notebookcaff5a48ed", "kernel_id": "55581739"}, {"ref": "huynguyenct/house-prices-group-56", "kernel_id": "55023018"}, {"ref": "aquocthanh2011/ai-advance-training-workshop-1-group-12", "kernel_id": "55006116"}, {"ref": "phanvanmen/workshop-1-g83", "kernel_id": "55244767"}, {"ref": "rutgergosselink/week8-project-ml23", "kernel_id": "55156128"}, {"ref": "rutgergosselink/notebook976b0177fd", "kernel_id": "55151871"}, {"ref": "sangnguyennhu/ai-training-house-prices-workshop-1-group-57", "kernel_id": "55006280"}, {"ref": "pqan112/house-prices-n", "kernel_id": "55006111"}, {"ref": "sebastinazamaravils/house-prices", "kernel_id": "55768783"}, {"ref": "tminhtri1210/group-91", "kernel_id": "55010659"}, {"ref": "samavedulashashank/house-price-prediction", "kernel_id": "55022940"}, {"ref": "faizahosman/group-69", "kernel_id": "55037334"}, {"ref": "noelleewx/week8-project-ml23", "kernel_id": "55051801"}, {"ref": "zubairalzubi/zubairal-zubi-yahyaal-araji-week8-project-ml23", "kernel_id": "55078930"}, {"ref": "sihanjeremychen/ee2ml1-task8-5473888", "kernel_id": "55303436"}, {"ref": "adityaml29/week8-project-ml23-housing-aditya-sachar", "kernel_id": "55139664"}, {"ref": "roosbonouvrie/house-prices-prediction-using-tfdf", "kernel_id": "55170947"}, {"ref": "cyberdeeplearning/house-prices-using-random-forest", "kernel_id": "55830509"}, {"ref": "namraimtiaz/house-price", "kernel_id": "55687022"}, {"ref": "spyno0m/house-price-prediction-notebook", "kernel_id": "55955941"}, {"ref": "ywlee5126/myfirstproject", "kernel_id": "55951969"}, {"ref": "mikedelong/sklearn-regression-with-knn-imputer", "kernel_id": "56090264"}, {"ref": "mikedelong/sklearn-regression-no-nan-with-umap", "kernel_id": "56446237"}, {"ref": "mikedelong/random-forest-with-knn-imputer", "kernel_id": "56834521"}, {"ref": "ksushik/house-prices-prediction-using-ensemble-models-v2", "kernel_id": "56906362"}, {"ref": "krmonline/house-price-prediction", "kernel_id": "56521963"}, {"ref": "umarshahid/house-prices-prediction-using-tfdf", "kernel_id": "56064585"}, {"ref": "umarshahid/detailed-exploratory-data-analysis-with-python", "kernel_id": "56045622"}, {"ref": "abr1998/house-price-analysis-and-prediction", "kernel_id": "56241364"}, {"ref": "bhaktipradhan/batch-8-eda-and-prediction-of-house-price", "kernel_id": "56570705"}, {"ref": "fernandocarrera/house-prices", "kernel_id": "56100460"}, {"ref": "sudhirkumarjoon/house-price-prediction-project-1", "kernel_id": "56323834"}, {"ref": "sumitgupta640/gradient-boosting-and-eda-for-price-prediction", "kernel_id": "56527257"}, {"ref": "tilonbobb/house-prices-submission", "kernel_id": "56673334"}, {"ref": "sarthakpatel12/classic-machine-learning", "kernel_id": "56474286"}, {"ref": "ainatemiloluwa/stacking-model-using-rf-gb-xgb-lgb-catboos", "kernel_id": "56075883"}, {"ref": "sergeyarhipov/house-prices-notebook", "kernel_id": "56758945"}, {"ref": "jananajjar/de-hw7", "kernel_id": "56101573"}, {"ref": "felippedmaso/notebook46363c8e58", "kernel_id": "56175140"}, {"ref": "felippedmaso/house-pred-sales", "kernel_id": "56197289"}, {"ref": "zhikunwang/notebook4df2c3f0e3", "kernel_id": "56000243"}, {"ref": "hectorsalas/house-prices-regression-r2-0-85-ramdom-forest", "kernel_id": "56561526"}, {"ref": "xyznihal/housingprices-svr-and-randomforestregressor", "kernel_id": "56729767"}, {"ref": "abdelrahmanelfeky987/house-price-prediction", "kernel_id": "56852785"}, {"ref": "shubhammaindola/house-price-prediction", "kernel_id": "56409583"}, {"ref": "abdelmoneimrehab/unveiling-house-prices-ensemble-and-deep-learning", "kernel_id": "56895280"}, {"ref": "johnvelasco/advanced-regression-submission", "kernel_id": "56833208"}, {"ref": "nikpetranovic/attempt-2", "kernel_id": "56695826"}, {"ref": "abdelrahmanalsaify/regression-h-w-abdelrahman", "kernel_id": "56321102"}, {"ref": "aleyhere/home-price-analysis-and-prediction", "kernel_id": "56490954"}, {"ref": "arturosaf8/house-prices-simple-regression-models", "kernel_id": "56265247"}, {"ref": "vinnyngo/house-prices-using-xgboost-and-scikit-learn", "kernel_id": "56124523"}, {"ref": "berkayozturkx/house-price-predict", "kernel_id": "56431019"}, {"ref": "rafaelcruza/feature-engineering-for-house-prices", "kernel_id": "56412810"}, {"ref": "thhehehe/b-i-t-p-v-nh", "kernel_id": "56658812"}, {"ref": "huongvngn/house-prices-notebook", "kernel_id": "56639937"}, {"ref": "nguynvnquyn/b-i-t-p-v-nh", "kernel_id": "56641049"}, {"ref": "bharathvelamala1929/house-prices-prediction", "kernel_id": "56651744"}, {"ref": "mahdifaour/house-prices-eda-cleaning-modeling", "kernel_id": "56808103"}, {"ref": "ngoduchhhh/linear-regression-house-price-btvn", "kernel_id": "56724506"}, {"ref": "phmthkhuyn/notebookc472e140c2", "kernel_id": "56711911"}, {"ref": "ngngcnh/btvn-house-price-prediction", "kernel_id": "56654936"}, {"ref": "cheshtbiala/houses-prices-advancedregression", "kernel_id": "56894946"}, {"ref": "saleepshrestha/housing-market-prediction-comp-advanced-regression", "kernel_id": "56519801"}, {"ref": "hjs4932/houseprice-hjs", "kernel_id": "56599275"}, {"ref": "farrahtharwat/advanced-svm", "kernel_id": "56368946"}, {"ref": "khushiattri/adv-reg-house-prices", "kernel_id": "56907607"}, {"ref": "cardata/advanced-house-price-prediction", "kernel_id": "56454470"}, {"ref": "cardata/house-price-prediction-submission", "kernel_id": "56347183"}, {"ref": "cardata/house-price-prediction-analysis", "kernel_id": "56299876"}, {"ref": "alvaroweichiangwang/house-prices-prediction-using-tfdf", "kernel_id": "56863180"}, {"ref": "chetankumar21315/kaggle-compi-co21315", "kernel_id": "56284528"}, {"ref": "omerfaruk69/house-prices-ensamble-ridge-lasso-elasticnet", "kernel_id": "56998981"}, {"ref": "vladyslavmustyatsa/most-important-features-affecting-the-house-price", "kernel_id": "56905538"}, {"ref": "ishmaelesmaeilrezaei/eda-and-feature-selection-house-price-prediction", "kernel_id": "56265779"}, {"ref": "feifeifei111/simple-example", "kernel_id": "56805890"}, {"ref": "christianbarreto07/xgbregressor-houseprice", "kernel_id": "56669114"}, {"ref": "christianbarreto07/xbgregressor-bestscoresmeanweight", "kernel_id": "56937148"}, {"ref": "kwangminki/ridge-reg-top-9-house-price-predict-practice", "kernel_id": "56287586"}, {"ref": "ahammadmejbah/reinforcement-learning-enhance-real-estate-pricing", "kernel_id": "56713783"}, {"ref": "arionlazarus/may11-adv-regression-notebook", "kernel_id": "56926917"}, {"ref": "sabitahamedpreanto/housing-prediction-2", "kernel_id": "56732429"}, {"ref": "alisalsaifi/regression-hw", "kernel_id": "56147393"}, {"ref": "lachimulala/notebook96a71d026e", "kernel_id": "56007710"}, {"ref": "akshitajain0503/notebook5fa19c03b6", "kernel_id": "56328944"}, {"ref": "annaavd/notebooka8c3b88178", "kernel_id": "56814544"}, {"ref": "lmd232/houseprices-prediction", "kernel_id": "56710412"}, {"ref": "thihong28103/btvn-8-5", "kernel_id": "56646028"}, {"ref": "tedjung13/notebook", "kernel_id": "56970983"}, {"ref": "nguynhuynmy/btvn-bu-i-3", "kernel_id": "56710261"}, {"ref": "minhchauvu23/btvn4", "kernel_id": "56696886"}, {"ref": "markghali/ml-proj12", "kernel_id": "56723505"}, {"ref": "jemanzum/house-price-prediction", "kernel_id": "56826618"}, {"ref": "mikedelong/lightgbm-sklearn-interface", "kernel_id": "57366681"}, {"ref": "mikedelong/basic-lightgbm-first-look", "kernel_id": "57343431"}, {"ref": "ksushik/notebookad29a77a38", "kernel_id": "57544578"}, {"ref": "amananand0/house-prices-prediction-in-detail", "kernel_id": "57224253"}, {"ref": "muhammedtariq99/house-prices-3", "kernel_id": "57835570"}, {"ref": "martinhabedank/house-pricing-advanced-regression", "kernel_id": "57112989"}, {"ref": "henrylinn/house-price-prediction-v28", "kernel_id": "57639176"}, {"ref": "saranshvashistha/house-prices-skit-learn", "kernel_id": "57309787"}, {"ref": "madhuri55/house-price-comp", "kernel_id": "57119309"}, {"ref": "edoardolelmi/ffn-for-house-prices-advanced-regression-tech", "kernel_id": "57106789"}, {"ref": "zahrazolghadr/houseprice-competition-pipeline", "kernel_id": "57347086"}, {"ref": "sakibbai/d2s3-housing-data", "kernel_id": "57896746"}, {"ref": "n1ghtcube/house-competition", "kernel_id": "57699601"}, {"ref": "shotasekido/aidemy", "kernel_id": "57623748"}, {"ref": "ibkya12/rmse-0-15-r-squared-0-88-house-saleprice-pred", "kernel_id": "57959827"}, {"ref": "tarkhon/indexing-in-pandas", "kernel_id": "57519413"}, {"ref": "aiviir/predict-house-price", "kernel_id": "57354896"}, {"ref": "koabou/predict-house-prices", "kernel_id": "57157251"}, {"ref": "loguntsovas/house-prices", "kernel_id": "57463651"}, {"ref": "pdroruiz/house-prices-regression-models", "kernel_id": "57854103"}, {"ref": "robertpuszczyski/housing-competition", "kernel_id": "57668648"}, {"ref": "ayyc0404/cali-house-pricing", "kernel_id": "57850227"}, {"ref": "akshatr1804/house-prices-linear-regression-scikit-learn", "kernel_id": "57503092"}, {"ref": "arpitsharma0408/getting-started-with-house-price-prediction", "kernel_id": "57689546"}, {"ref": "ahmedosamaelkhadrawy/house-prices", "kernel_id": "57532202"}, {"ref": "ani231/flood-preds", "kernel_id": "57032477"}, {"ref": "dimidrosh/ml-linreg-task", "kernel_id": "57109240"}, {"ref": "dimidrosh/ml-linreg-task-2", "kernel_id": "57265808"}, {"ref": "fadynabilmofeed/exploring-regression-models-with-umap-and-ridge", "kernel_id": "57537307"}, {"ref": "flamingoman418/house-prices", "kernel_id": "57576447"}, {"ref": "huongvngn/btvn-9-5", "kernel_id": "57255256"}, {"ref": "phmthkhuyn/notebook5c4ed28ce3", "kernel_id": "57180201"}, {"ref": "amirazizdatascience/exercise-missing-values", "kernel_id": "57767849"}, {"ref": "chetanin/house-prediction-with-optimized-xgbregressor", "kernel_id": "57857030"}, {"ref": "saleepshrestha/housing-price-prediction", "kernel_id": "57204121"}, {"ref": "wajedafaneh/houseprice-predection-analysis", "kernel_id": "57620311"}, {"ref": "vasudevsrivastava/house-prices-prediction-top-5-simplest-approach", "kernel_id": "57162743"}, {"ref": "nishi33/notebook9532dc1d72", "kernel_id": "57273491"}, {"ref": "efrenmedina/house-prices-random-forests", "kernel_id": "57788177"}, {"ref": "menynicolas/house-price-prediction-top10", "kernel_id": "57941122"}, {"ref": "oskarwalawender/xgboost-cross-val-testing", "kernel_id": "57428401"}, {"ref": "christianbarreto07/0-123scor-processament-stacked-ensemble-submission", "kernel_id": "57967726"}, {"ref": "christianbarreto07/score-msle-0-17-tfkeras-deepneuralnetwork", "kernel_id": "57282808"}, {"ref": "baceaandreeamaria/bacea-project-ki", "kernel_id": "57854737"}, {"ref": "gaspardrochu/notebookf1212290a2", "kernel_id": "57693498"}, {"ref": "iamalredygod/catboost-house-prediction-0-12584", "kernel_id": "57835716"}, {"ref": "rexcoleman/outlier-the-silent-killer-rc-version", "kernel_id": "57034448"}, {"ref": "arionlazarus/prediction-using-ridge-lasso-linear", "kernel_id": "57219564"}, {"ref": "magpiedata/notebook84dc802b1c", "kernel_id": "57120879"}, {"ref": "teddynye/house-prices-by-lgbmregressor", "kernel_id": "57030874"}, {"ref": "antoinemaurette/fv-383-4744-15-may-2024-housing-price-c", "kernel_id": "57011111"}, {"ref": "vyrdudji/housing-price-prediction-hillel", "kernel_id": "57317716"}, {"ref": "khadijakarimi/mac-project", "kernel_id": "57566373"}, {"ref": "marynastovbur/house-prices-advanced-regression-techniques", "kernel_id": "57168057"}, {"ref": "lmd232/houseprices-prediction-2", "kernel_id": "57139443"}, {"ref": "miyukizumy/notebook-2", "kernel_id": "57170960"}, {"ref": "thihong28103/btvn-9-5", "kernel_id": "57076526"}, {"ref": "pchhalotre321chh/house-prices-1", "kernel_id": "57237947"}, {"ref": "benrmolloy/housingpricepredictor", "kernel_id": "57983562"}, {"ref": "timothyh21/house-prices-project", "kernel_id": "57834372"}, {"ref": "tariksaglam/house-price-prediction-catboost-algorithm", "kernel_id": "57113240"}, {"ref": "pamalkrmondal/home-price-advanced-regression-technique", "kernel_id": "57735056"}, {"ref": "liumingzheng2024/house-prices-with-pytorch", "kernel_id": "57121618"}, {"ref": "manruman1/notebookf9f4c94f01", "kernel_id": "57338370"}, {"ref": "kyrylo1969/notebook2bf9070f5b", "kernel_id": "57780975"}, {"ref": "darrylljk/predict-housing-prices", "kernel_id": "57878879"}, {"ref": "munirayusufhandli/house-prices-prediction-using-tfdf", "kernel_id": "57698128"}, {"ref": "shravankumar147/advanced-house-price-prediction", "kernel_id": "58716364"}, {"ref": "aspillai/house-prices-regression-autogluon-0-12504", "kernel_id": "58751282"}, {"ref": "dataanalysit/house-price-prediction-histgradientboost", "kernel_id": "58646657"}, {"ref": "dataanalysit/house-price-dataset-eda-and-feature-selection", "kernel_id": "58095776"}, {"ref": "shitaoliao/linear-regression-of-house-price-prediction", "kernel_id": "58841403"}, {"ref": "lauvfpitipak/house-price-advanced-regression-xgboost-with-ridge", "kernel_id": "58954373"}, {"ref": "timcheng0805/house-prices-example", "kernel_id": "58550519"}, {"ref": "luisnegrin/firstnotebook", "kernel_id": "58952807"}, {"ref": "mohankrishnan08/small-model-working", "kernel_id": "58409194"}, {"ref": "kushsheth/xgboost-regression-with-0-92", "kernel_id": "58312327"}, {"ref": "sarthakpatel12/random-forest", "kernel_id": "58126252"}, {"ref": "ehsanhasanpoor/house-price", "kernel_id": "58933350"}, {"ref": "vinayplusj/data-leakage-using-ames-competition-as-example", "kernel_id": "58182003"}, {"ref": "jeisshimiken/notebook0d4b075a04", "kernel_id": "58506277"}, {"ref": "anuragbelel/house-prices-advanced-regression-techniques", "kernel_id": "58274740"}, {"ref": "jasonyu001/house-prices-prediction", "kernel_id": "58857632"}, {"ref": "wojciechgrotkiewicz/house-prices-prediction-with-xgboost", "kernel_id": "58641215"}, {"ref": "marwanashraf22/house-prices-advanced-regression-techniques", "kernel_id": "58912545"}, {"ref": "ibkya12/17-0-9243-house-price-pred-w-xgboost", "kernel_id": "58066032"}, {"ref": "narekaristakesyan/top-10-catboost-voting", "kernel_id": "58559404"}, {"ref": "gallo33henrique/house-price-ml-regression-lgbm", "kernel_id": "58531104"}, {"ref": "ismailalshofi/house-price-eda-cleaning-outliers-models", "kernel_id": "58791085"}, {"ref": "hasanyldiz/house-price-pred", "kernel_id": "58462070"}, {"ref": "naumanalimurad/house-prices-prediction-maybe", "kernel_id": "58654865"}, {"ref": "tarkhon/group-by-aggregation-functions-in-pandas", "kernel_id": "58831286"}, {"ref": "tanmaymunjal123/homeprice", "kernel_id": "58222751"}, {"ref": "jksamillano11/linear-regression-housing-prices", "kernel_id": "58910639"}, {"ref": "grigoriykhanov/house-prices-prediction-with-catboost", "kernel_id": "58804209"}, {"ref": "saurabhru/house-prices-advanced-regression-techniques", "kernel_id": "58565843"}, {"ref": "bharathkumar1011/house-prices", "kernel_id": "58734609"}, {"ref": "nilishakothari/notebook85b14a2ede", "kernel_id": "58330392"}, {"ref": "theaidude/housepriceprediction", "kernel_id": "58293106"}, {"ref": "siddhartha5356/advanced-regression", "kernel_id": "58838151"}, {"ref": "arthuralbarelli/exploratory-data-analysis-house-prices", "kernel_id": "58232728"}, {"ref": "satyabrata14/notebook49cfbdd248", "kernel_id": "58418913"}, {"ref": "tisa33/vectors-for-strings-x-for-numerics", "kernel_id": "58712285"}, {"ref": "quangcler/houseprice-prediction-mai291", "kernel_id": "58766014"}, {"ref": "ygwhere/linear-regression-for-house-price-predict", "kernel_id": "58121434"}, {"ref": "shaludeen/house-price-prediction", "kernel_id": "58996035"}, {"ref": "tharunnarra/houseprice-predection-analysis", "kernel_id": "58716655"}, {"ref": "sathishgsmss/house-price-prediction", "kernel_id": "58668525"}, {"ref": "tacticularcancer/house-price-prediction", "kernel_id": "58915124"}, {"ref": "odz101/house-prices-linear-regression", "kernel_id": "58019957"}, {"ref": "marshakib/house-price-prediction-0-12941", "kernel_id": "58499846"}, {"ref": "orvinreid/sales-matriz", "kernel_id": "58546437"}, {"ref": "anhnguyen2457/house-price-prediction-qlda-cntt", "kernel_id": "58394218"}, {"ref": "hoangnhse183090/houseprice-prediction-mai291", "kernel_id": "58766109"}, {"ref": "efrenmedina/fork-of-house-prices-clean-version", "kernel_id": "58316790"}, {"ref": "jerrytseee/house-prices-prediction", "kernel_id": "58549502"}, {"ref": "patsont/house-price", "kernel_id": "58863352"}, {"ref": "alieidou/house-prices-prediction", "kernel_id": "58971947"}, {"ref": "mirceaanghel/baseline-model-house-prices", "kernel_id": "58444640"}, {"ref": "mirceaanghel/improved-baseline-model-house-prices", "kernel_id": "58522815"}, {"ref": "baceaandreeamaria/version2", "kernel_id": "58303862"}, {"ref": "ralucacozac/notebookcozacraluca", "kernel_id": "58521467"}, {"ref": "rahultimalsina465/house-price-regression-technique-part-2", "kernel_id": "58609327"}, {"ref": "rahultimalsina465/house-prices-advanced-regression-techniques", "kernel_id": "58604443"}, {"ref": "chuchuchen27/house-prediction", "kernel_id": "58664923"}, {"ref": "candycpp/ahouse-prices-with-pytorch", "kernel_id": "58435951"}, {"ref": "melken/house-price-v1", "kernel_id": "58293401"}, {"ref": "davidionescu/notebook26d406bcef", "kernel_id": "58513734"}, {"ref": "juanluisacebal/house-prediction-prices-jacebal", "kernel_id": "58080194"}, {"ref": "abdullahk007/ensemble-learning-techniques-tutorial", "kernel_id": "58346704"}, {"ref": "jankuper192/opzet-dcg", "kernel_id": "59926736"}, {"ref": "shravankumar147/pycaret-housing-prices-prediction", "kernel_id": "59432744"}, {"ref": "shravankumar147/autoclean-preprocessing-data", "kernel_id": "59426554"}, {"ref": "shravankumar147/house-prices-prediction-xgb", "kernel_id": "59049841"}, {"ref": "shravankumar147/advanced-house-price-prediction-eda", "kernel_id": "59172724"}, {"ref": "shravankumar147/automl-tools-for-eda", "kernel_id": "59206977"}, {"ref": "vellis1/predicting-housing-cost-with-ensemble-model", "kernel_id": "59902938"}, {"ref": "jefvanrompay/02-02-oefening-2", "kernel_id": "59586826"}, {"ref": "yaminiakula123/car-price-prediction-using-tensorflow", "kernel_id": "59444828"}, {"ref": "alexsandroj/house-prices-regression-advanced-models", "kernel_id": "59600640"}, {"ref": "agnibhabanerjee/highgate", "kernel_id": "59198388"}, {"ref": "alexandrarutenberg/house-pricing-predictions", "kernel_id": "59753161"}, {"ref": "kamilab0bkowska/house-prices-blended-models-approach", "kernel_id": "59592564"}, {"ref": "jyotirmoydey/house-price", "kernel_id": "59273339"}, {"ref": "warisratthapoom/house-price-predictions", "kernel_id": "59283046"}, {"ref": "papaji89989/bert-spacy-nltk", "kernel_id": "59185296"}, {"ref": "tahmidmir/house-prices-advanced-regression-techniques", "kernel_id": "59456260"}, {"ref": "areenjain/house-price-xgboost", "kernel_id": "59059749"}, {"ref": "pratikshapandapkp/house-price-prediction", "kernel_id": "59370563"}, {"ref": "andrewvolianskii/universal-eda-fe-prediction", "kernel_id": "59907646"}, {"ref": "zoeault/homework-8", "kernel_id": "59597778"}, {"ref": "tarkhon/merge-dataframes-in-pandas", "kernel_id": "59751208"}, {"ref": "shubhangiasthana/house-prices-prediction-using-tfdf", "kernel_id": "59074426"}, {"ref": "therealarnab/housepriceattempt", "kernel_id": "59156393"}, {"ref": "bharathkumar1011/house-price-with-visual-data-analysis", "kernel_id": "59170200"}, {"ref": "kanchannaval/house-prices-notebook", "kernel_id": "59386546"}, {"ref": "alivijdaan/xgboost-with-advanced-feature-engineering", "kernel_id": "59868501"}, {"ref": "chaiyapop/house-prices-xgboost-model", "kernel_id": "59422703"}, {"ref": "arifhossain00/house-prices-prediction-using-tfdf", "kernel_id": "59060536"}, {"ref": "parkhip/house-price-prediction", "kernel_id": "59684104"}, {"ref": "egorandreasyan/price-prediction", "kernel_id": "59931710"}, {"ref": "abdallahwael22/house-prices-regression", "kernel_id": "59122308"}, {"ref": "vishalginni/house-prices-advanced-regression-techniques", "kernel_id": "59441170"}, {"ref": "nitish2005/house-prices-prediction-using-tfdf", "kernel_id": "59323532"}, {"ref": "nawaj2417/house-price-predication", "kernel_id": "59559974"}, {"ref": "roberts88/ames-house-price-regression", "kernel_id": "59624640"}, {"ref": "xenowing/task-01-1", "kernel_id": "59677628"}, {"ref": "jjenolin/house-prices", "kernel_id": "59204486"}, {"ref": "shahidumar80/house-price-prediction-random-forest-regression", "kernel_id": "59218675"}, {"ref": "divyashree17/house-price-prediction", "kernel_id": "59113663"}, {"ref": "zagroz901/ml-modeling-pipline-for-test-score-0-125", "kernel_id": "59460892"}, {"ref": "mrmarshmallow/machine-learning-project", "kernel_id": "59131833"}, {"ref": "brahimy/house-prices-prediction", "kernel_id": "59271922"}, {"ref": "ayodeleayorinde/automated-eda-modeling-pipeline", "kernel_id": "59530409"}, {"ref": "vladgerasymov/universal-eda-fe-prediction", "kernel_id": "59994249"}, {"ref": "sinha05/sale-price-prediction", "kernel_id": "59897757"}, {"ref": "valdinidouglace/house-prices-prediction-0-89", "kernel_id": "59864039"}, {"ref": "rlcheng1302/test-using-xgboost", "kernel_id": "59090869"}, {"ref": "hswee92/house-price-prediction", "kernel_id": "59279218"}, {"ref": "vishalyginny/house-p", "kernel_id": "59643835"}, {"ref": "melken/house-prices-v2-randomforest", "kernel_id": "59333025"}, {"ref": "nitishaphore/house-pricing", "kernel_id": "59976477"}, {"ref": "manikantasai18/house-price-prediction-kaggle-competition", "kernel_id": "59562650"}, {"ref": "dalexsanchez/house-prices-prediction-voting", "kernel_id": "59005121"}, {"ref": "mennatuallahelsayed/house-price-prediction", "kernel_id": "59483106"}, {"ref": "kodurd/house-prices-prediction-using-lightgbm", "kernel_id": "59900984"}, {"ref": "nikitadeshpande05/house-prices-predictions", "kernel_id": "59287195"}, {"ref": "yyy20240604/house-prices20240611", "kernel_id": "59502302"}, {"ref": "xxujiahao11/i-m-learning-regression", "kernel_id": "59891330"}, {"ref": "tonquishageter/house-prices-prediction-using-tfdf", "kernel_id": "59478669"}, {"ref": "mymelissa/preidiction-house-price", "kernel_id": "59762046"}, {"ref": "newkidontheblock/bbdml-noon-day7", "kernel_id": "60942315"}, {"ref": "cnpcshangbo/lab-2", "kernel_id": "60505805"}, {"ref": "vellis1/housing-cost-statistical-significance", "kernel_id": "60258583"}, {"ref": "tanakasandesuka/house-price-using-flaml-low-codes", "kernel_id": "60315889"}, {"ref": "avilashahaldar/housing-prices-with-gradient-boosting-trees", "kernel_id": "60865350"}, {"ref": "csmohamedayman/ml-numc-house-prices-regression-techniques", "kernel_id": "60597060"}, {"ref": "wouldyoujustfocus/llama3-8b-llm20-questions-lb-750", "kernel_id": "60990185"}, {"ref": "basekill/house-price-prediction", "kernel_id": "60817828"}, {"ref": "basekill/house-prices-eda", "kernel_id": "60818325"}, {"ref": "aysenursafak/housepricedeb5", "kernel_id": "60800992"}, {"ref": "chomijeong/t2-4-house-prices-regression", "kernel_id": "60300663"}, {"ref": "param302/mlp-session-7-by-parampreet-singh", "kernel_id": "60967783"}, {"ref": "juuliuus/house-price-prediction-eda-and-xgboost", "kernel_id": "60569820"}, {"ref": "krupadharamshi/house-prices-using-xgboost", "kernel_id": "60646894"}, {"ref": "zehalberto/house-prices-prediction-linear-regression", "kernel_id": "60421810"}, {"ref": "chanelkxm/unsupervised-learning-pca-lr-lasso-xgboost", "kernel_id": "60781546"}, {"ref": "areenjain/regression-house-prices", "kernel_id": "60077271"}, {"ref": "lokendarjangid/house-price-prediction", "kernel_id": "60155106"}, {"ref": "alejandroee/house-prices-ml-supervisado", "kernel_id": "60730746"}, {"ref": "alvinhanafie/house-prices-regression-with-log-rmse-metrics", "kernel_id": "60564189"}, {"ref": "jachimmaaghara/house-sales-prices-using-ensemble-modeling", "kernel_id": "60166228"}, {"ref": "kczajkowski/house-prices-3rd-ver", "kernel_id": "60140871"}, {"ref": "robbylew/house-price-predictions-xgboost", "kernel_id": "60996246"}, {"ref": "rguptaind/data-pre-processing", "kernel_id": "60401696"}, {"ref": "trsaivarun/house-price-prediction", "kernel_id": "60925276"}, {"ref": "olehpiskorskyi/predicting-house-prices", "kernel_id": "60588738"}, {"ref": "niharikatiwari004/house-price-prediction", "kernel_id": "60646818"}, {"ref": "kentsachio/aol-ml-linear-regression", "kernel_id": "60394134"}, {"ref": "sergeitsibikov1234/top-1-w-leakage-ensemble-w-catboost", "kernel_id": "60805964"}, {"ref": "sergeitsibikov1234/top-10-house-prices-fe-gridsearch-catboost", "kernel_id": "60437873"}, {"ref": "gappfill/price-predicting-classic-ml-regression", "kernel_id": "60873249"}, {"ref": "primera7790/fork-of-houseprices-adv-v19", "kernel_id": "60842064"}, {"ref": "omerfarukaytunc/housepricepredict-regression", "kernel_id": "60300379"}, {"ref": "shaludeen/house-price-regression", "kernel_id": "60183573"}, {"ref": "rlreshika/prodigy-ml-01", "kernel_id": "60769230"}, {"ref": "jorgensoby/notebook3a8c3dd5f3", "kernel_id": "60901942"}, {"ref": "eslammohamed100/house-prices-advanced-regression-tech", "kernel_id": "60891753"}, {"ref": "saliharanauzun/house-prices-advanced-regression-techniques", "kernel_id": "60816074"}, {"ref": "xenowing/task-01-3", "kernel_id": "60069532"}, {"ref": "damircuk/damir-house-prices-art", "kernel_id": "60577802"}, {"ref": "muhammadasifwazir/house-price", "kernel_id": "60812868"}, {"ref": "pragyanpant/real-estate-price-prediction", "kernel_id": "60296882"}, {"ref": "yousefashraf342/notebookc6dd3e2140", "kernel_id": "60494040"}, {"ref": "ghazalehkanani/house-price-predict", "kernel_id": "60725379"}, {"ref": "saleepshrestha/housing-submission", "kernel_id": "60168919"}, {"ref": "staniska/advanced-housing-prices-prediction", "kernel_id": "60509157"}, {"ref": "pratikarvindshirsath/house-prices-advanced-regression-techniques", "kernel_id": "60798511"}, {"ref": "dasadoshia/house-price-reg", "kernel_id": "60781340"}, {"ref": "iliyatodorov/house-prices-regression", "kernel_id": "60430185"}, {"ref": "sanandml/titanic-ml-workflow", "kernel_id": "60561471"}, {"ref": "sayakghorai34/house-price-contest", "kernel_id": "60979187"}, {"ref": "vishrutmishra/house-prices-advanced-regression-techniques", "kernel_id": "60075144"}, {"ref": "annaoliinychenko/lab-4", "kernel_id": "60751451"}, {"ref": "muhammadirfansajid/housing-price-prediction-project", "kernel_id": "60111423"}, {"ref": "abdulmelikhmeda/eda-xgboost-and-others-ml-housing-prediction", "kernel_id": "60515033"}, {"ref": "turchynserhii/notebookffc4eeeb03", "kernel_id": "60345214"}, {"ref": "pouyashaterzadeh/87-accuracy-ensemble-model-house-price-prediction", "kernel_id": "60900980"}, {"ref": "hardikkelotra/house-prediction-gbdt", "kernel_id": "60094111"}, {"ref": "olivermcgrath/linear-regression-house-prices-attempt-4", "kernel_id": "60853520"}, {"ref": "olivermcgrath/linear-regression-house-prices-task-attempt-2", "kernel_id": "60579002"}, {"ref": "olivermcgrath/linear-regression-house-prices-attempt-3", "kernel_id": "60782801"}, {"ref": "olivermcgrath/linear-regression-house-prices-task-attempt-1", "kernel_id": "60568474"}, {"ref": "ivanfan1214/6-feature-selection-strategies-with-house-pricing", "kernel_id": "60106376"}, {"ref": "abdallahahmed400/houseing-price", "kernel_id": "60258698"}, {"ref": "hasibur013/house-prices-prediction-competition", "kernel_id": "60941770"}, {"ref": "asthagupta622/houseprice", "kernel_id": "60942412"}, {"ref": "jainaru/house-prices-advanced-regression-techniques", "kernel_id": "60337727"}, {"ref": "akhilsakthieswaran/housing-prices-xgboost", "kernel_id": "60069644"}, {"ref": "shunsuke0920/gridsearch", "kernel_id": "60637547"}, {"ref": "vishalyginny/house-prices", "kernel_id": "60545228"}, {"ref": "c201042jobairuddin/house-prices-prediction", "kernel_id": "60803721"}, {"ref": "manswad/house-prices-advanced-regression-techniques", "kernel_id": "60578882"}, {"ref": "giladtsfaty/rotem-gilad-house-prices", "kernel_id": "60569559"}, {"ref": "dmitrysolod/notebook2b1df4242c", "kernel_id": "60675078"}, {"ref": "jamescfabrianes/house-prices-advanced-regression-techniques", "kernel_id": "60069363"}, {"ref": "hannamyleiko/notebook375e863bd8", "kernel_id": "60183811"}, {"ref": "thorieee/lightgbm-with-tidymodels", "kernel_id": "60010960"}, {"ref": "huangliang20040730/notebook1808d88e92", "kernel_id": "60301694"}, {"ref": "huangliang20040730/notebookd6de0d5145", "kernel_id": "60310631"}, {"ref": "ellenlealdossantos/notebook1706", "kernel_id": "60260467"}, {"ref": "ellenlealdossantos/house-prices-final", "kernel_id": "60001958"}, {"ref": "taisiafedoryna/house-prices-random-forest-tf", "kernel_id": "60072216"}, {"ref": "mocanumihaiadrian/house-prices-mihai-mocanu", "kernel_id": "60660510"}, {"ref": "fouadyoussef56/house-prices-advanced-regression-techniques-190ba6", "kernel_id": "60362041"}, {"ref": "fouadyoussef56/house-prices-advanced-regression-techniques-9d24b9", "kernel_id": "60362069"}, {"ref": "fouadyoussef56/preidiction-house-price-a13d05", "kernel_id": "60364416"}, {"ref": "magedmallek/house-prices-advanced-regression-techniques", "kernel_id": "60361685"}, {"ref": "ahmedgaitani/top-3-advanced-house-prices-with-gboost", "kernel_id": "60666703"}, {"ref": "ramzyoussef/housing-prices-xgboost", "kernel_id": "60440077"}, {"ref": "khaledyoussef01/predict-house-prices", "kernel_id": "60518618"}, {"ref": "andriana3008/lab-1", "kernel_id": "60471149"}, {"ref": "michaelshomsky/regression-exploration", "kernel_id": "60977328"}, {"ref": "newkidontheblock/bbdml-morning-day-8", "kernel_id": "61027480"}, {"ref": "thammuio/random-forest-regressor-detailed-approach", "kernel_id": "61596023"}, {"ref": "coralengel/testing-svm-pca-more-for-best-model", "kernel_id": "61471505"}, {"ref": "limitedonly41/notebook90902e5885", "kernel_id": "61308451"}, {"ref": "marlos11/lab-4", "kernel_id": "61130976"}, {"ref": "pratikshagarkar/house-predictor", "kernel_id": "61467738"}, {"ref": "andreansihombing/house-prices-by-andrean", "kernel_id": "61872866"}, {"ref": "ssrathore/house-price-regressor", "kernel_id": "61834611"}, {"ref": "param302/mlp-session-8-model-pipeline-by-parampreet-singh", "kernel_id": "61297287"}, {"ref": "arindamsahoo/ames-house-price-prediction", "kernel_id": "61030321"}, {"ref": "jacobmaximususaraga/house-pricing", "kernel_id": "61143887"}, {"ref": "hazemyasser88/house-prediction", "kernel_id": "61581026"}, {"ref": "manojnittoor/mn-house-prices-predictions", "kernel_id": "61307319"}, {"ref": "saikatsaha798/celebal-house-price", "kernel_id": "61674452"}, {"ref": "lokendarjangid/data-preprocessing-for-house-price-prediction", "kernel_id": "61675257"}, {"ref": "gunalhincal/house-price-prediction", "kernel_id": "61316869"}, {"ref": "basmalausama/notebook6fc8ceec43", "kernel_id": "61499486"}, {"ref": "farisellmola/89-randomforestmodel-with-gridsearch-house-pred", "kernel_id": "61313474"}, {"ref": "tarkhon/line-chart-in-pandas", "kernel_id": "61420451"}, {"ref": "mohamedraafat11111/linear-regression", "kernel_id": "61667088"}, {"ref": "suhawni/housepriceprediction", "kernel_id": "61823183"}, {"ref": "mustafabadshah/notebook90505ee7d8", "kernel_id": "61659546"}, {"ref": "alinabil2/house-prices-advanced-regression-techniques", "kernel_id": "61754706"}, {"ref": "eeeeshugupta/housing-price-regression", "kernel_id": "61494888"}, {"ref": "zoeyynguyen/notebook842c31f99e", "kernel_id": "61033249"}, {"ref": "zoeyynguyen/detailed-examination-for-house-price-top-10", "kernel_id": "61101869"}, {"ref": "muhamadagilfadila/house-price-regression", "kernel_id": "61951635"}, {"ref": "gokhankarabag7/house-price-prediction-eda-ml", "kernel_id": "61821307"}, {"ref": "lokeshmendake/house-prices-advanced-regression-techniques", "kernel_id": "61962783"}, {"ref": "danuherath/house-prices-predict-regression-advanced", "kernel_id": "61698344"}, {"ref": "stephenechessa/house-price-prediction-using-tree-ensemble-methods", "kernel_id": "61132442"}, {"ref": "rakeshjampa/usa-house-prices-advanced-regression-techniques", "kernel_id": "61437460"}, {"ref": "syedsalmanalizaidi/house-prices-advanced-regression-techniques", "kernel_id": "61365393"}, {"ref": "naveenn004/house-prediction-1", "kernel_id": "61595145"}, {"ref": "himanshikawade04/house-price-prediction-competition", "kernel_id": "61968544"}, {"ref": "himanshikawade04/house-price-prediction", "kernel_id": "61942429"}, {"ref": "ssk113/house-prices-prediction-using-tfdf", "kernel_id": "61671908"}, {"ref": "hoseinmk97/house-price-preparation", "kernel_id": "61024273"}, {"ref": "hoseinmk97/houseprice-competition-pipeline", "kernel_id": "61063543"}, {"ref": "frufru/house-prices-linearregression-catboosting-tree", "kernel_id": "61787265"}, {"ref": "kursatdinc/house-price-eda-ml-end-to-end-solution", "kernel_id": "61706533"}, {"ref": "emreasln/house-prices-advanced-regression-techniques", "kernel_id": "61863261"}, {"ref": "ycsstang/houseprice-with-gbr", "kernel_id": "61586285"}, {"ref": "rishi2003das/house-prices-prediction-using-tfdf", "kernel_id": "61692281"}, {"ref": "allavarapuhemalatha/house-prices-advanced-regression", "kernel_id": "61358494"}, {"ref": "xick66/house-prices-prediction-using-tfdf", "kernel_id": "61824928"}, {"ref": "bsrsrc/house-prediction", "kernel_id": "61766139"}, {"ref": "kacperkadziolka/house-prices-competition", "kernel_id": "61500218"}, {"ref": "smritikanapaik/notebook6ae45fcad5", "kernel_id": "61676980"}, {"ref": "adityakalsi/housing-prediction-88-gradient-boosting", "kernel_id": "61136494"}, {"ref": "olexiihubar/laba-4", "kernel_id": "61109583"}, {"ref": "ebruiserisobay/house-price-prediction-eda-ml-end-to-end", "kernel_id": "61918796"}, {"ref": "cankaraburun/competition-essay", "kernel_id": "61852374"}, {"ref": "ilamugilbalu/house-prices-advanced-regression", "kernel_id": "61813768"}, {"ref": "mohammedahmedxx12/house-prices-predictions", "kernel_id": "61803744"}, {"ref": "preettushar/house-prices-advance", "kernel_id": "61808043"}, {"ref": "marcusreul/proyecto-house-prices", "kernel_id": "61377035"}, {"ref": "nhoangtu/house-predict", "kernel_id": "61454882"}, {"ref": "suvroo/advance-hyperparameter-optimization-in-ml-and-dl", "kernel_id": "61505784"}, {"ref": "suvroo/wrapper-feature-selection-and-pca", "kernel_id": "61240173"}, {"ref": "santhankarnala/top-3-in-house-prediction-enet-xgb-ensemble", "kernel_id": "61623804"}, {"ref": "ahmedwaleed1903/house-prediction", "kernel_id": "61437107"}, {"ref": "olehdiakov/house-pricing-regression", "kernel_id": "61275452"}, {"ref": "aniketsinghyadav/house-prices-prediction-using-tfdf", "kernel_id": "61040468"}, {"ref": "charlieawesom3/housing-prices-model", "kernel_id": "61630102"}, {"ref": "greenrives/old-green-rives-hw-11-house-prices", "kernel_id": "61147160"}, {"ref": "ivanergiev01/house-prices-xgb-vs-rf", "kernel_id": "61146807"}, {"ref": "ahmedrizkgawish/house-prices-prediction", "kernel_id": "61479059"}, {"ref": "hilalalpak/houseprice-predict-catboost-insights-explained", "kernel_id": "61661119"}, {"ref": "kawasakitakaya/house-prices-advanced-regression-techniques", "kernel_id": "61030573"}, {"ref": "umairhayat/house-price-prediction", "kernel_id": "61668164"}, {"ref": "guybenmoshe/house-prices-guy-ben-moshe-ariel-yogev", "kernel_id": "61203107"}, {"ref": "oliveiramenezes40/house-pricescm", "kernel_id": "61855169"}, {"ref": "shirmelayev/house-prices-prediction-using-tfdf", "kernel_id": "61706280"}, {"ref": "masatochino/house-prices-mc", "kernel_id": "61471627"}, {"ref": "andrasnandorkis/house-prices-prediction", "kernel_id": "61762487"}, {"ref": "ianyao4134/notebooka51b105d4b", "kernel_id": "61860330"}, {"ref": "simr1410/house-prediction", "kernel_id": "61804394"}, {"ref": "thorieee/just-upload-sample-submission-data-with-r", "kernel_id": "61049538"}, {"ref": "valeriapronina/house-prices-homework", "kernel_id": "61375707"}, {"ref": "shaillyagarwal/notebook7991b45617", "kernel_id": "61288934"}, {"ref": "rikashiraiku/for-milena", "kernel_id": "61072267"}, {"ref": "maximum27/house-price", "kernel_id": "61318198"}, {"ref": "hamchicchi/house-price-prediction-try01", "kernel_id": "61349994"}, {"ref": "mitul1999/house-prices-modeling", "kernel_id": "61763139"}, {"ref": "manjuthiyagarajan/house-price-prediction-randomforestregressor", "kernel_id": "61315300"}, {"ref": "mddanish7781/notebook419fa0b717", "kernel_id": "61217710"}, {"ref": "mddanish7781/house-pricing", "kernel_id": "61337418"}, {"ref": "mioharada/harada-house", "kernel_id": "61320098"}, {"ref": "awaisanayat/house-prices-using-regression-techniques", "kernel_id": "61378794"}, {"ref": "vaibhavbs21/house-prices-prediction-vaibhavbs-21", "kernel_id": "61517072"}, {"ref": "bhagyasripitta/house-prices-prediction-using-tfdf", "kernel_id": "61933220"}, {"ref": "casperwholden/casper-holden-house-prices-prediction-using-tfdf", "kernel_id": "61814996"}, {"ref": "smailuuz/housepred", "kernel_id": "61888933"}, {"ref": "deonkim/house-prices-ai-time-traveler", "kernel_id": "61776978"}, {"ref": "faisalnjs/asime-7-10-24", "kernel_id": "61907936"}, {"ref": "vbmokin/house-prices-get-basic-info", "kernel_id": "62659600"}, {"ref": "theturpinator/housing-prices", "kernel_id": "62404520"}, {"ref": "ahsenwaheed/housing-prediction-using-xgboost-0-12-rmse", "kernel_id": "62831199"}, {"ref": "rafaelrangel/house-prices-advanced-regression-techniques", "kernel_id": "62236860"}, {"ref": "rushabhmiyani/house-prices-advanced-regression-techniques", "kernel_id": "62889292"}, {"ref": "emhaihsan/decision-tree-regressor-and-classifier", "kernel_id": "62178481"}, {"ref": "alisterluiz/explainable-ai-with-shap", "kernel_id": "62948217"}, {"ref": "soyoungpark63/notebook-for-house-prices-regression", "kernel_id": "62405893"}, {"ref": "pavelkopka/house-prices", "kernel_id": "62573450"}, {"ref": "aymanezzeldeen/linear-regression-for-house-price-prediction", "kernel_id": "62907179"}, {"ref": "danielolveravilchis/housepricesm4h3t51", "kernel_id": "62621979"}, {"ref": "kuanyuarchen/houseprice-example", "kernel_id": "62522117"}, {"ref": "aegistea/fork-of-houseprice-study2-63706a", "kernel_id": "62798321"}, {"ref": "param302/mlp-session-14-by-parampreet-singh", "kernel_id": "62698531"}, {"ref": "param302/session-13b-oppe-1-revision-2-by-parampreet", "kernel_id": "62444929"}, {"ref": "param302/session-13a-oppe-1-revision-2-by-parampreet", "kernel_id": "62431910"}, {"ref": "somebodynamedalexis/introduction-to-ml-prediction", "kernel_id": "62126220"}, {"ref": "eoabdulhalim/linear-regression-93-enet-93-gboosting-92", "kernel_id": "62023865"}, {"ref": "zeyadshahin/house-pricing-regression", "kernel_id": "62359425"}, {"ref": "promminvutivivatchai/house-price-prediction-pv", "kernel_id": "62806305"}, {"ref": "ernanhughes/house-price-prediction", "kernel_id": "62566495"}, {"ref": "vayanshgarg/house-price-prediction", "kernel_id": "62430681"}, {"ref": "aheartlesskiller/house-price-comprehensive-preprocessing", "kernel_id": "62560498"}, {"ref": "nevenamil/housepricechecks-task-1", "kernel_id": "62703275"}, {"ref": "nafras/notebookffbb4aa7ee", "kernel_id": "62132961"}, {"ref": "drsjamshidinejad/house-price-eda-preprocessing", "kernel_id": "62894422"}, {"ref": "amrmohammed216/house-prices-prediction", "kernel_id": "62222981"}, {"ref": "betulyurtman/house-price-prediction", "kernel_id": "62103378"}, {"ref": "sakshikorde/house-price-data-analysis", "kernel_id": "62657660"}, {"ref": "abdelazizsami/advanced-technology-forecasting-project", "kernel_id": "62244574"}, {"ref": "shamsin/house-prices-prediction-using-tfdf", "kernel_id": "62466259"}, {"ref": "syednazmussakib/eda-feature-engineering", "kernel_id": "62150930"}, {"ref": "gncgulce/house-prediction-ml-eda", "kernel_id": "62438201"}, {"ref": "anmoljindal24/house-price-xgboost-explained-end-to-end", "kernel_id": "62804525"}, {"ref": "giannietcheverry/eda-and-predictions-with-machine-learning", "kernel_id": "62553619"}, {"ref": "tarkhon/bar-chart-in-pandas", "kernel_id": "62135095"}, {"ref": "mohamedraafat11111/house-prices-prediction-using-tfdf", "kernel_id": "62162141"}, {"ref": "jksamillano11/linear-regression-house-prices", "kernel_id": "62260507"}, {"ref": "jedrzejgrabala/houseprediction1", "kernel_id": "62653033"}, {"ref": "kapish26/notebooke15dfddd18", "kernel_id": "62493767"}, {"ref": "arnavmishra6996/xgboost-model-with-optuna-optimiser", "kernel_id": "62458257"}, {"ref": "aadarshkumarshah/house-price-prediction-advanced-regression", "kernel_id": "62159051"}, {"ref": "sukhmansaran/house-prices-advanced-regression-techniques", "kernel_id": "62478367"}, {"ref": "abhishekm0403/housing-price", "kernel_id": "62823413"}, {"ref": "oleksiimartusiuk/house-sale-price-predictions-ensemble", "kernel_id": "62356855"}, {"ref": "fredrickkariuki/house-prices-prediction-1", "kernel_id": "62794483"}, {"ref": "shimondesta/hw04-203670286-311148720", "kernel_id": "62899628"}, {"ref": "khaledashrafm3wad/comprehensive-data-exploration-with-python-update", "kernel_id": "62454050"}, {"ref": "dilekankaya/house-prices-prediction", "kernel_id": "62158365"}, {"ref": "mohdtokir/house-priceprediction", "kernel_id": "62513740"}, {"ref": "domjina/housing-prediction", "kernel_id": "62423096"}, {"ref": "murtadhanajim/house-price-prediction-score-0-1242", "kernel_id": "62540038"}, {"ref": "zeroiq/optuna-cb", "kernel_id": "62791019"}, {"ref": "begumarici/houseprice-outlier-detection-feature-engineering", "kernel_id": "62682141"}, {"ref": "celerse/house-prices-features-engineering-and-stacking", "kernel_id": "62739594"}, {"ref": "davidterminator/house-price", "kernel_id": "62869792"}, {"ref": "alexeybulichev/house-prices", "kernel_id": "62693010"}, {"ref": "bingyuan0126/house-prices-linear-and-random-forests", "kernel_id": "62668314"}, {"ref": "chengfg/llama3-8b-llm20-questions-lb-750", "kernel_id": "62011807"}, {"ref": "princekhunt19/starter-house-price-prediction", "kernel_id": "62750076"}, {"ref": "hcemozdemir/house-prediction-linear-reg-en-tr-esp", "kernel_id": "62698146"}, {"ref": "jaisaikamal/house-prices-predictions-by-multiple-linear-reg", "kernel_id": "62158850"}, {"ref": "sudeepsharma1/model-predicting-house-price", "kernel_id": "62494671"}, {"ref": "xueqingliiu/house-prices-advanced-regression-techniques", "kernel_id": "62259966"}, {"ref": "kuvars/house-predict-explained-with-shap", "kernel_id": "62501018"}, {"ref": "danialia/house-price-pred-data-viz-and-ml-mae-02", "kernel_id": "62512506"}, {"ref": "unsername/house-prices", "kernel_id": "62318150"}, {"ref": "hetborad/house-prices-advanced-regression", "kernel_id": "62041802"}, {"ref": "ulasucan/house-prices-advanced-regression-competition", "kernel_id": "62413429"}, {"ref": "juanbent/house-prices-competition", "kernel_id": "62996631"}, {"ref": "venkateshblks/house-prices-prediction", "kernel_id": "62208990"}, {"ref": "mathrood/t-picos-i-prova-final", "kernel_id": "62093386"}, {"ref": "samarthkapoor003/house-prices-regression-analysis", "kernel_id": "62353389"}, {"ref": "kariimattia/house-price-predication", "kernel_id": "62768147"}, {"ref": "greenrives/green-rives-hw-11-house-prices", "kernel_id": "62990394"}, {"ref": "tombernado/house-prices-advanced-regression-techniques", "kernel_id": "62221311"}, {"ref": "nirgeron/house-prices-competition", "kernel_id": "62021628"}, {"ref": "adityajakhar/notebook274ff33aa0", "kernel_id": "62437512"}, {"ref": "nehagupta2611/mlp-data-preprocessing-feature-eng-selec", "kernel_id": "62403279"}, {"ref": "nguyenmm/house-pricing-predict-advanced", "kernel_id": "62803947"}, {"ref": "mitul1999/predicting-house-prices-with-tensorflow-decision-f", "kernel_id": "62934286"}, {"ref": "fangwt/price-pred", "kernel_id": "62795986"}, {"ref": "yuriyoshii/notebook-houseprices-tutorial", "kernel_id": "62957028"}, {"ref": "deonkim/gradient-boosting-score-0-13427", "kernel_id": "62205750"}, {"ref": "jonathanstiefel/real-estate-prediction-for-tampa-fl-house", "kernel_id": "62825662"}, {"ref": "sergioduenas/house-prices", "kernel_id": "62502952"}, {"ref": "justinpoehls/kagglehousingpractice", "kernel_id": "62726323"}, {"ref": "amenaarshad/notebooke6e0242ce6", "kernel_id": "62301327"}, {"ref": "chaoschako/house-prices-prediction-1-linear-regression", "kernel_id": "62629825"}, {"ref": "govardhanreddy1234/house-prices-prediction-using-tfdf", "kernel_id": "62713383"}, {"ref": "chris36/house-price-analysis-and-modeling-python", "kernel_id": "63235289"}, {"ref": "funxexcel/dsm-eda-part-1", "kernel_id": "63383571"}, {"ref": "sharadmittal/latest-housing-price-notebook", "kernel_id": "63575331"}, {"ref": "robbiem/python-for-data-science-from-basics-to-models", "kernel_id": "63180825"}, {"ref": "wajahat1064/finally-got-it-house-predictions-using-catboost", "kernel_id": "63477964"}, {"ref": "waiyin/project-2-house-prices-prediction-with-tfdf", "kernel_id": "63359679"}, {"ref": "p7476762/11-model-s-comparison", "kernel_id": "63402791"}, {"ref": "barsoybilgen/improving-predictions-using-forecast-combinations", "kernel_id": "63492891"}, {"ref": "shahriarkabir/feature-selection-technique", "kernel_id": "63140564"}, {"ref": "takaoasaba/house-prices-asaba", "kernel_id": "63091955"}, {"ref": "gauravtayde/handle-missing-data-categorical-data", "kernel_id": "63008013"}, {"ref": "aegistea/fork-of-house-prices-advanced-regression-technique", "kernel_id": "63273987"}, {"ref": "saficengiz/raider-1", "kernel_id": "63710838"}, {"ref": "somebodynamedalexis/introduction-to-machine-learning-pipeline", "kernel_id": "63010923"}, {"ref": "abdullahahmed98/house-prices", "kernel_id": "63469136"}, {"ref": "krzysztofszafraski/top10-with-catboost-and-data-leakage", "kernel_id": "63526081"}, {"ref": "exceededdose/house-price-pred", "kernel_id": "63241365"}, {"ref": "firazztrk/house-price-prediction", "kernel_id": "63878102"}, {"ref": "max9999/comprehensive-data-exploration-with-python-ru", "kernel_id": "63966201"}, {"ref": "esabellechen/house-price-tdif", "kernel_id": "63408353"}, {"ref": "esabellechen/housing-price-with-gaussian-process", "kernel_id": "63017595"}, {"ref": "abdelrhmannouh/house-price-prediction", "kernel_id": "63999168"}, {"ref": "adnanbayu/ideabox-training-task-1", "kernel_id": "63952335"}, {"ref": "archismancoder/houseprices-02082024-tfdf-catboost-competition", "kernel_id": "63299156"}, {"ref": "olexandravoichenko/house-price-prediction", "kernel_id": "63363656"}, {"ref": "andreygulincodim/house-prices", "kernel_id": "63087649"}, {"ref": "dimansinghahirwar/house-price-prediction-regression", "kernel_id": "63574142"}, {"ref": "abdullahdahabre23/house-prices-advanced-regression-techniques", "kernel_id": "63357366"}, {"ref": "soheilazizi/housepriceprediction", "kernel_id": "63450121"}, {"ref": "infin1te/house-price-prediction-using-tensorflow-and-keras", "kernel_id": "63884454"}, {"ref": "sudharshan24k/house-prices-prediction-using-tfdf", "kernel_id": "63486034"}, {"ref": "babykrishnaml/housepricepredcompetition", "kernel_id": "63235435"}, {"ref": "nicolasbarbado/house-prices-xgbregressor", "kernel_id": "63974367"}, {"ref": "theofilusagung/eda-linear-reggresion", "kernel_id": "63983404"}, {"ref": "israqureshi124/houseprediction-pricing-ipynb", "kernel_id": "63451396"}, {"ref": "zeroiq/hgbr-cv", "kernel_id": "63442648"}, {"ref": "ankita20chaudhary/house-price-prediction-using-random-forest", "kernel_id": "63285324"}, {"ref": "ohwhykate/house-prices", "kernel_id": "63020654"}, {"ref": "jyotip123/house-prices-prediction-using-tfdf", "kernel_id": "63075088"}, {"ref": "filizsayin/houseprices-advancedregressiontec-filizsayin", "kernel_id": "63491064"}, {"ref": "ancorufio/using-hyperopt-for-xgboost-0-13102-rmse-score", "kernel_id": "63358469"}, {"ref": "alterralaniakea/house-pricing-prediction-using-xgboost", "kernel_id": "63134976"}, {"ref": "loreisat/predicci-n-house-price", "kernel_id": "63565507"}, {"ref": "jz0527/house-price-regression-lucas-johnny", "kernel_id": "63000784"}, {"ref": "emreakgul/xgboost-house-price-regression", "kernel_id": "63480583"}, {"ref": "marcusfam/houseprices", "kernel_id": "63557808"}, {"ref": "yaramahrous/house-prices-eda-prediction", "kernel_id": "63997797"}, {"ref": "ansh15880/housing-prices", "kernel_id": "63790005"}, {"ref": "tprimetheog/jameen-vivad", "kernel_id": "63594009"}, {"ref": "niyonshutimartin/feature-engineering-for-house-prices", "kernel_id": "63570601"}, {"ref": "kasunmahee/final-project-z", "kernel_id": "63495799"}, {"ref": "nastyabekesheva/house-prices-ml", "kernel_id": "63658178"}, {"ref": "mohamedmandor/advanced-house-price-prediction", "kernel_id": "63231869"}, {"ref": "hagerwasef/regression-and-feature-engineering", "kernel_id": "63998121"}, {"ref": "olehchornyi/notebookcce571d8f9", "kernel_id": "63228878"}, {"ref": "sujiq9707/house-price-advanced-regression-techniques", "kernel_id": "63530958"}, {"ref": "fatimafiza/xgb-house-price-prediction-pipeline", "kernel_id": "63931552"}, {"ref": "aidaabd96/house-price-forecasting-a-colorful-ensemble", "kernel_id": "63009614"}, {"ref": "darkstrox/notebook78cae66d5f", "kernel_id": "63997941"}, {"ref": "anatolyionoc/house-prices", "kernel_id": "63008565"}, {"ref": "filippogotta/house-prices-2-0-lasso-regression", "kernel_id": "63820245"}, {"ref": "yrmoore/pytorch-regression", "kernel_id": "63318746"}, {"ref": "kawasakitakaya/pycaret-notebook44c8b8f37d", "kernel_id": "63268498"}, {"ref": "kawasakitakaya/fork-of-house-prices-advanced-regression-technique", "kernel_id": "63140466"}, {"ref": "abhishinde141/house-price-prediction", "kernel_id": "63013933"}, {"ref": "kirillchekmenev/house-price-prediction-top-150", "kernel_id": "63478858"}, {"ref": "chenpan6/house-prices-ridge-xgboost", "kernel_id": "63378675"}, {"ref": "masatochino/house-prices-mc2", "kernel_id": "63534733"}, {"ref": "alaawaelmo/house-prices-regression-acc-92", "kernel_id": "63308377"}, {"ref": "dasparfum/house-prices", "kernel_id": "63107701"}, {"ref": "willjcampbell/kitchensinkboost-xgboost", "kernel_id": "63510208"}, {"ref": "harigoshika/house-prices-prediction", "kernel_id": "63852912"}, {"ref": "isono5/house-price", "kernel_id": "63016911"}, {"ref": "sviatoslavlevchenko/hillel-task5-linearregression", "kernel_id": "63173133"}, {"ref": "sviatoslavlevchenko/hillel-task7-knnregression", "kernel_id": "63627241"}, {"ref": "nitinrana1504/house-prices", "kernel_id": "63343062"}, {"ref": "shinokazu/20240731", "kernel_id": "63144126"}, {"ref": "scskkasuga/house-prices", "kernel_id": "63267725"}, {"ref": "sakumakeisuke/house-prices-prediction-using-tfdf-google", "kernel_id": "63017814"}, {"ref": "sakumakeisuke/stacked-regressions-top-4-on-leaderboard", "kernel_id": "63540456"}, {"ref": "ouside/lightgbm-xgboost-krr-the-top-2-6-house-prices", "kernel_id": "63078785"}, {"ref": "boonyaritp/house-prices-advanced-regression-techniques", "kernel_id": "63463884"}, {"ref": "ahmedredaalaraby/notebook8291cdf1a8", "kernel_id": "63116854"}, {"ref": "haninimbarek/gradient-boosting-regressor", "kernel_id": "63521013"}, {"ref": "haninimbarek/house-pricing-with-kmeans-randomforestregressor", "kernel_id": "63378363"}, {"ref": "vinicosta0106/houses-s-saleprice", "kernel_id": "63314963"}, {"ref": "pragyanbagchi/houseprediction", "kernel_id": "63286578"}, {"ref": "pawestobrawe/house-prices-advanced-regression-techniques", "kernel_id": "63026292"}, {"ref": "passionfruit216/stacking", "kernel_id": "63460189"}, {"ref": "milkbottledude/houseprices-machine-learning", "kernel_id": "63718868"}, {"ref": "viveksingh2400/competition-1-house-pricing-prediction", "kernel_id": "63448753"}, {"ref": "suryanshshah/notebook702106aef0", "kernel_id": "63510160"}, {"ref": "hashemili/house-predictions-using-catboost-ml", "kernel_id": "63501667"}, {"ref": "ambarakat/house-prices-using-decisiontreeregressor", "kernel_id": "63822931"}, {"ref": "yvonne1992/house-prices-2-0-lasso-regression", "kernel_id": "64680424"}, {"ref": "davidrpugh/cs-209-week-6-starter-notebook", "kernel_id": "64767087"}, {"ref": "abhinavrgupta98/housing-prices", "kernel_id": "64535819"}, {"ref": "cloudmachine/house-prices-advanced-regression-techniques", "kernel_id": "64144156"}, {"ref": "sunnychangchang/house-prices-advanced-regression-techniques", "kernel_id": "64231226"}, {"ref": "markbogorad/house-prices-advanced-regression-techniques", "kernel_id": "64231154"}, {"ref": "ezzaddeenmofarreh/prices-prediction-tfdf-models-comparison", "kernel_id": "64530229"}, {"ref": "hobeomlee/regression-eda-feature-engineering", "kernel_id": "64262245"}, {"ref": "akhileshkolambekar52/house-price-prediction-lgbmregressor-top-22", "kernel_id": "64454279"}, {"ref": "param302/session-19b-oppe-2-revision-by-parampreet-singh", "kernel_id": "64228991"}, {"ref": "muhammadasifiqbal/eda-best-model-selection-house-price-prediction", "kernel_id": "64792730"}, {"ref": "sanjibanbhattacharya/house-price-prediction", "kernel_id": "64297021"}, {"ref": "yassmenyoussef/test1", "kernel_id": "64354139"}, {"ref": "satorizor/house-prices-advanced-regression-techniques", "kernel_id": "64231187"}, {"ref": "oziasmelchi/prize-house-prediction", "kernel_id": "64881726"}, {"ref": "haiqizeng/house-prices-advanced-regression-techniques", "kernel_id": "64231144"}, {"ref": "mdarobinislam/house-prediction", "kernel_id": "64992670"}, {"ref": "shadaelewa/house-price", "kernel_id": "64426492"}, {"ref": "nikola6453/house-prices-prediction", "kernel_id": "64625916"}, {"ref": "parshvamaniar/house-prices-advanced-regression-techniques", "kernel_id": "64231147"}, {"ref": "cyhhhhhh/house-prices-advanced-regression-techniques", "kernel_id": "64349021"}, {"ref": "tobyvincent/notebook5e2d3eb33c", "kernel_id": "64041219"}, {"ref": "vatsalmakodia/house-prices-advanced-regression-techniques", "kernel_id": "64231562"}, {"ref": "abdelhadifadili/eda-house-prices", "kernel_id": "64379955"}, {"ref": "snehalkhandewale/housing-prices", "kernel_id": "64922104"}, {"ref": "katherinexuuu/house-prices-advanced-regression-techniques", "kernel_id": "64231182"}, {"ref": "ahmedabdelghagny/house-prediction", "kernel_id": "64347873"}, {"ref": "ahmedabdelghagny/housing-price", "kernel_id": "64349756"}, {"ref": "shivanianneboina/house-prices-prediction-using-tfdf", "kernel_id": "64581424"}, {"ref": "jordanchua99/predict-house-prices-with-xgboost-regression", "kernel_id": "64311304"}, {"ref": "jordanchua99/house-prices-random-forests-and-xgboost-averaged", "kernel_id": "64231202"}, {"ref": "arishsaifi28/house-prices-advanced-regression-techniques", "kernel_id": "64137894"}, {"ref": "furkanbt/house-prices-advanced-regression-techniques", "kernel_id": "64718007"}, {"ref": "felipequiroga/house-price", "kernel_id": "64383551"}, {"ref": "jainam1182/house-prices-advanced-regression", "kernel_id": "64155749"}, {"ref": "abdallaellaithy/house-prices-prediction", "kernel_id": "64658214"}, {"ref": "engineerfrabbi/house-prices-advanced-regression-techniques", "kernel_id": "64038871"}, {"ref": "prathamjyotsingh/house-price-xgboost-regressor", "kernel_id": "64097116"}, {"ref": "caokhoihuynh/house-prices-prediction", "kernel_id": "64919909"}, {"ref": "umbro10/house-price-prediction-kaggle-competition", "kernel_id": "64822084"}, {"ref": "ahmedosamaelkhadrawy/fork-of-house-prices", "kernel_id": "64179293"}, {"ref": "omarashrafkhattab/notebook1278501cc4", "kernel_id": "64835351"}, {"ref": "danielgurwindas/house-price-prediction-advanced-regression", "kernel_id": "64754022"}, {"ref": "baseershah/ensemble-perfection-manually-handled-missing-vals", "kernel_id": "64662693"}, {"ref": "janikmsse/house-price-regression", "kernel_id": "64353366"}, {"ref": "rby0510/house-prices-advanced-regression-techniques", "kernel_id": "64231170"}, {"ref": "arpitsingh9/final-project-advance-regression-techniques", "kernel_id": "64077673"}, {"ref": "chromaa/predictive-regression-analysis", "kernel_id": "64909104"}, {"ref": "beasttitan/house-prices-advanced-regression-techniques", "kernel_id": "64536643"}, {"ref": "ahmedashrafhelmi/house-prices-eda", "kernel_id": "64261930"}, {"ref": "abdelrhmanwalidmorsy/house-prices-eda-and-modeling", "kernel_id": "64898476"}, {"ref": "asmaamo2050/houseprice-prediction-eda-linearregression", "kernel_id": "64383532"}, {"ref": "ahmedfathygwely/house-price-advanced-regression", "kernel_id": "64190847"}, {"ref": "merthane/xgb-regressor-house-price-prediction", "kernel_id": "64637824"}, {"ref": "mahmoudsayd/notebook6b5b0d4afd", "kernel_id": "64833379"}, {"ref": "josmiguelvilches/house-prices-regression", "kernel_id": "64894748"}, {"ref": "matthewnamrubenstein/house-prices-advanced-regression-techniques", "kernel_id": "64231151"}, {"ref": "jennyuzhao/house-prices-advanced-regression-techniques", "kernel_id": "64231654"}, {"ref": "ansarianam/notebook5f78b370fa", "kernel_id": "64353559"}, {"ref": "sonwin111/notebook4c3e1758ec", "kernel_id": "64376185"}, {"ref": "buyigeng/house-prices-advanced-regression-techniques", "kernel_id": "64231556"}, {"ref": "georgemagdytawfik/houses-prices", "kernel_id": "64184036"}, {"ref": "abdalrhmantwfik/house-prices-eda-all-feature-engineering", "kernel_id": "64600945"}, {"ref": "rpavani2005/prediction-of-house-prices-using-linear-regression", "kernel_id": "64997787"}, {"ref": "mhdtahadaboul/house-advance-price", "kernel_id": "64308460"}, {"ref": "yussufkadir/house-price-prediction-with-regression", "kernel_id": "64259397"}, {"ref": "yuxiaoxie/house-prices-advanced-regression-techniques", "kernel_id": "64231513"}, {"ref": "he186309trungkin/knowledge-graph", "kernel_id": "64801553"}, {"ref": "kamilandrzejewski/advanced-price-prediction", "kernel_id": "64351573"}, {"ref": "abdulrhmaneldeeb/advanced-regression-house-price", "kernel_id": "64361808"}, {"ref": "rajagrawal7089/house-price-xgboost", "kernel_id": "64580573"}, {"ref": "kalyanikrish/house-prices-advanced-regression-techniques", "kernel_id": "64231658"}, {"ref": "youssefaelgabry/testing", "kernel_id": "64863058"}, {"ref": "yujiahou04/house-prices-advanced-regression-techniques", "kernel_id": "64231157"}, {"ref": "ajfaisal002/stacking-regressor-for-house-price-prediction", "kernel_id": "64515046"}, {"ref": "yukeli66888/notebook5a2329c4e5", "kernel_id": "64238945"}, {"ref": "saisameer2457/house-price-prediction", "kernel_id": "64716633"}, {"ref": "machineframe/house-prices-advanced-regression-technique", "kernel_id": "64235394"}, {"ref": "machineframe/fork-of-house-prices-advanced-regression-techniq", "kernel_id": "64236002"}, {"ref": "yousefjaberabdelaziz/house-prices-advanced-regression-competition", "kernel_id": "64344094"}, {"ref": "maxher123/housepricespycarettest", "kernel_id": "64826730"}, {"ref": "ayfait/one-click-data-cleaner-algorithm", "kernel_id": "64064773"}, {"ref": "salaheddineelkhirani/optimizing-house-price-forecasting-using-lasso-reg", "kernel_id": "64305218"}, {"ref": "aryagokh/housepriceregression-10hrs", "kernel_id": "64606807"}, {"ref": "taisukemorita03/notebook9820015754", "kernel_id": "64114908"}, {"ref": "subhashmudaliar/house-sales-prediction-competition", "kernel_id": "64078680"}, {"ref": "almabady/house-pricing-mabady-ml", "kernel_id": "64735466"}, {"ref": "lewiscross/ames-house-pricing-wip", "kernel_id": "64216858"}, {"ref": "serafettingazibaba/catboostregression-handling-categorical-features", "kernel_id": "64997129"}, {"ref": "mushei/house-prices-advanced-regression-techniques", "kernel_id": "64285354"}, {"ref": "shamekhing/house-prices-regression-pytorch", "kernel_id": "64280599"}, {"ref": "rudenkobogdan/exploratory-data-analysis-and-dl-network-testing", "kernel_id": "64384880"}, {"ref": "kanakonakamura/house-price-by-nkmr", "kernel_id": "64053349"}, {"ref": "beyzacoban/priceprediction", "kernel_id": "64088680"}, {"ref": "mhmdelshoraky/housing-prices-forecasting", "kernel_id": "64326449"}, {"ref": "mephistophel2312/sale-price-detailed-analysis-from-a-beginner", "kernel_id": "64298887"}, {"ref": "nakai591218/notebookbce3fac8d0", "kernel_id": "64280735"}, {"ref": "elasgustavoknaus/dl-v-1-3-tensorflow", "kernel_id": "64025238"}, {"ref": "elasgustavoknaus/housing-prices-advanced", "kernel_id": "64475948"}, {"ref": "owm4096/simple-linear-regression-model", "kernel_id": "64908937"}, {"ref": "abdelrahmansami04/linear-registration-on-housing-dataset", "kernel_id": "64118876"}, {"ref": "bishoykamel97/house-price-prediction-team7", "kernel_id": "64424865"}, {"ref": "abdelruhmandiaa/house-sale-price", "kernel_id": "64422985"}, {"ref": "shahdvhmed/multivariable-regression-and-polynomials", "kernel_id": "64509814"}, {"ref": "malakmohamed777/houseprice-prediction", "kernel_id": "64401800"}, {"ref": "shubham2309/house-price-prediction", "kernel_id": "64254256"}, {"ref": "qingyiyan/house-prices-advanced-regression-techniques", "kernel_id": "64231196"}, {"ref": "fionario/house-prices-advanced-regression-techniques", "kernel_id": "64231552"}, {"ref": "manush13/house-prices-advanced-regression-techniqu-85a29c", "kernel_id": "64355357"}, {"ref": "joshuaray7/house-prices-advanced-regression-techniques", "kernel_id": "64231208"}, {"ref": "wenbogao12/house-prices-advanced-regression-techniques", "kernel_id": "64231192"}, {"ref": "xinglinhu/house-prices-advanced-regression-techniques", "kernel_id": "64231188"}, {"ref": "wanlingxie/house-prices-advanced-regression-techniques", "kernel_id": "64231224"}, {"ref": "jiayuzhu416/house-prices-advanced-regression-techniques", "kernel_id": "64238639"}, {"ref": "iceyqin/house-prices-advanced-regression-techniques", "kernel_id": "64231193"}, {"ref": "joannacoming/house-prices-advanced-regression-techniques", "kernel_id": "64231175"}, {"ref": "xintong24/house-prices-advanced-regression-techniques", "kernel_id": "64231314"}, {"ref": "dms9747/house-prices-advanced-regression-techniques", "kernel_id": "64237132"}, {"ref": "lucy12183/fork-of-house-prices-advanced-regression-techniq", "kernel_id": "64236260"}, {"ref": "sandginger/house-prices-advanced-regression-techniques", "kernel_id": "64231698"}, {"ref": "ib2649/house-prices-advanced-regression-techniques", "kernel_id": "64242545"}, {"ref": "wubolin/house-prices-advanced-regression-techniques", "kernel_id": "64231290"}, {"ref": "jqecfowenco/house-prices-advanced-regression-techniques", "kernel_id": "64231271"}, {"ref": "sp6122/house-prices-advanced-regression-techniques", "kernel_id": "64231568"}, {"ref": "jessiehan00/house-prices-advanced-regression-techniques", "kernel_id": "64314166"}, {"ref": "yuewu0924/house-prices-advanced-regression-techniques", "kernel_id": "64231536"}, {"ref": "aryansingal/house-prices-advanced-regression-techniques", "kernel_id": "64234348"}, {"ref": "futurelyf/house-prices-advanced-regression-techniques", "kernel_id": "64231602"}, {"ref": "bz2739/notebookfa74705dc4", "kernel_id": "64319712"}, {"ref": "haoningchen637/house-prices-advanced-regression-techniqu-35f460", "kernel_id": "64439635"}, {"ref": "sinhaarnav2002/house-prices-advanced-regression-techniques", "kernel_id": "64231530"}, {"ref": "varun226/house-prices-advanced-regression-techniques", "kernel_id": "64317196"}, {"ref": "yutongwuminnie/house-prices-advanced-regression-techniques", "kernel_id": "64313138"}, {"ref": "qianruzhaoabby/house-prices-advanced-regression-techniques", "kernel_id": "64231917"}, {"ref": "shalvikapandey/house-prices-advanced-regression-techniques", "kernel_id": "64285049"}, {"ref": "zw4426/house-prices-advanced-regression-techniques", "kernel_id": "64233430"}, {"ref": "creep4me/house-prices-advanced-regression-techniques", "kernel_id": "64266721"}, {"ref": "athonyli/house-prices-advanced-regression-techniques", "kernel_id": "64299515"}, {"ref": "riyag99/house-prices-advanced-regression-techniques", "kernel_id": "64348554"}, {"ref": "chriszhang330/notebookbbaa0c505b", "kernel_id": "64445506"}, {"ref": "nazagasayed/notebook40f91c58b6", "kernel_id": "64564823"}, {"ref": "vladmun83/house-vlad", "kernel_id": "64683457"}, {"ref": "sarathchandra/pd-get-dummies-vs-sklearn-onehotencoder", "kernel_id": "65466101"}, {"ref": "dequadras/speedy-eda-targetviz", "kernel_id": "65595046"}, {"ref": "aishwaryapatil2/categorical-features-handling-missing-values", "kernel_id": "65582791"}, {"ref": "aishwaryapatil2/house-prices-exploratory-data-analysis", "kernel_id": "65341655"}, {"ref": "codecspy/feature-engineering-for-house-prices", "kernel_id": "65560611"}, {"ref": "prithatiwari/analysing-router-uptimes-and-bfd-downtimes", "kernel_id": "65674848"}, {"ref": "cahyowicaksono/house-prices-dataset-analysis", "kernel_id": "65877696"}, {"ref": "khosiyatsabirova/model-house-prices-advanced-regression-technique", "kernel_id": "65481971"}, {"ref": "meryentr/plotly-tutorial-47-different-graphs", "kernel_id": "65996170"}, {"ref": "nikhilramlukan/top-10-house-prices", "kernel_id": "65739256"}, {"ref": "teenasapra/notebook9a8dc7458e", "kernel_id": "65551416"}, {"ref": "artyombystryukov/houseprices", "kernel_id": "65517618"}, {"ref": "pagadalasumanth/house-prices-advanced-regression-techniques", "kernel_id": "65850313"}, {"ref": "malakessam/try-linear-regression-from-scratch", "kernel_id": "65678423"}, {"ref": "arunekambaram/advanced-regression-techniques", "kernel_id": "65114772"}, {"ref": "rishabhbhartiya/house-price-exploring-all-regression-model", "kernel_id": "65029236"}, {"ref": "rehabkhaledelesawy/house-price-regression", "kernel_id": "65006924"}, {"ref": "sarahibrahim97/simple-neural-network-using-pytorch", "kernel_id": "65211160"}, {"ref": "sarahibrahim97/xgboost", "kernel_id": "65081803"}, {"ref": "sarahibrahim97/lightgbm", "kernel_id": "65125176"}, {"ref": "akshatrailaddha/housing-price-analysis-feature-prediction", "kernel_id": "65393256"}, {"ref": "caardila41/notebook08000c8bc2", "kernel_id": "65097338"}, {"ref": "pranita1202/house-prices-advanced-regression-techniques", "kernel_id": "65012051"}, {"ref": "zzamanasad359/a-simple-tutorial-on-exploratory-data-analysis", "kernel_id": "65441168"}, {"ref": "raquelilarri/house-prices-regression-techniques", "kernel_id": "65443598"}, {"ref": "rahmasleam/house-prices-by-linear-regression", "kernel_id": "65830427"}, {"ref": "mahmoudsalama7/all-models-summary-with-regularization", "kernel_id": "65959662"}, {"ref": "ebrahimmerza/house-prices-advanced-regression-techniques", "kernel_id": "65789694"}, {"ref": "m26102002/house-price-advance-regression-basic", "kernel_id": "65729282"}, {"ref": "zebinma/cs-294w-fall-2024-week-2", "kernel_id": "65739872"}, {"ref": "romartin/predicci-n-de-precios-de-viviendas-kick-off", "kernel_id": "65712143"}, {"ref": "shazaosama/house-pricing-linear-regression", "kernel_id": "65359101"}, {"ref": "kholoudyehia/house-prices-randomforestregressor-rmse", "kernel_id": "65321880"}, {"ref": "yashuchauhan/housing-price-prediction-90-r2-score", "kernel_id": "65131307"}, {"ref": "mdiftekharmahmud/house-price-prediction", "kernel_id": "65272959"}, {"ref": "saikrishnapuni/notebookdd7d9c1e61", "kernel_id": "65879063"}, {"ref": "parinayrana/advance-house-prediction", "kernel_id": "65732703"}, {"ref": "ramyhafez/house-prices-prediction", "kernel_id": "65391264"}, {"ref": "nazhifhaidar/testing-idk", "kernel_id": "65906992"}, {"ref": "snehalkhandewale/cats-cats-cats", "kernel_id": "65594592"}, {"ref": "harshitpathak18/house-price-prediction-0-13443", "kernel_id": "65328628"}, {"ref": "abdallatamer/house-price-prediction-using-linear-regression", "kernel_id": "65792362"}, {"ref": "mdsaidhossainimran/advanced-house-price-prediction", "kernel_id": "65086514"}, {"ref": "eduardorocha1/house-prices-advanced-regression-techniques", "kernel_id": "65260703"}, {"ref": "salehismail/house-pricing", "kernel_id": "65007000"}, {"ref": "aklnmelike/house-price-prediction", "kernel_id": "65959437"}, {"ref": "giladkangisser/boston-housing-regression-wits-project", "kernel_id": "65668300"}, {"ref": "volkhindanil/housesaleprice", "kernel_id": "65141084"}, {"ref": "oleggaivoronsky/first-experience-of-kaggle-on-top-5-some-eda", "kernel_id": "65181070"}, {"ref": "ahmedalmohamdy/aggressive-datapreprocessing-with-only-lr-model", "kernel_id": "65829076"}, {"ref": "sarishtshreshth0/house-prices", "kernel_id": "65391427"}, {"ref": "sahilkhan70/house-price-prediction-adv-techniques", "kernel_id": "65400963"}, {"ref": "vivekkmr07/house-prices-advanced-regression-techniques", "kernel_id": "65894613"}, {"ref": "clemwo/competition-eda-house-price-prediction", "kernel_id": "65728348"}, {"ref": "phenomsg/normal-regression", "kernel_id": "65688880"}, {"ref": "rlreshika/fork-of-prodigy-ml-01", "kernel_id": "65468062"}, {"ref": "prabuddhasarkar/regression-xgboost-housing-price", "kernel_id": "65924893"}, {"ref": "changleliu6/houseprices", "kernel_id": "65274459"}, {"ref": "gagandeep44489/comprehensive-data-exploration-with-python", "kernel_id": "65884721"}, {"ref": "naveenn004/house-pricing", "kernel_id": "65986116"}, {"ref": "sherinetarek/price-prediction", "kernel_id": "65921783"}, {"ref": "ahmedzidan882/top-performing-house-price-predictions", "kernel_id": "65800410"}, {"ref": "srinadhch07/houseeda-py", "kernel_id": "65700652"}, {"ref": "sonwin111/2001216109-btvn3", "kernel_id": "65169678"}, {"ref": "kirahhayatdata/wine-quality-prediction-with-bagging-regression", "kernel_id": "65275674"}, {"ref": "kennethtang00/housing-prices-lhl-assignment", "kernel_id": "65151599"}, {"ref": "josmaramanzanoortega/house-pricing-catboost-regression", "kernel_id": "65487681"}, {"ref": "asserhassan/linearregression", "kernel_id": "65792067"}, {"ref": "minanabil11111212/house-prices-regression-by", "kernel_id": "65118756"}, {"ref": "mohamedelkhateb1/house-price-prediction-data-analysis-ml-models", "kernel_id": "65045338"}, {"ref": "sadesoda/hause-price", "kernel_id": "65444336"}, {"ref": "beforeend/home-price", "kernel_id": "65852753"}, {"ref": "omprajapati115/notebook65542d27bf", "kernel_id": "65617805"}, {"ref": "beratyolda/house-price-ml", "kernel_id": "65548846"}, {"ref": "cartoonistbeard/housepricepredictionxgb-score-0-13254", "kernel_id": "65799205"}, {"ref": "juanr26/house-prediction", "kernel_id": "65202904"}, {"ref": "ahmedelwekel/houseprices-regression-models", "kernel_id": "65481322"}, {"ref": "hungdx0905/comprehensive-guide-on-feature-selection", "kernel_id": "65271135"}, {"ref": "ryosukekawauchi/housepriceprediction-model-predict-missing-value", "kernel_id": "65318069"}, {"ref": "ctsekes/house-prices-competition", "kernel_id": "65134024"}, {"ref": "anees1747/advanced-house-price-prediction-with-random-forest", "kernel_id": "65671693"}, {"ref": "bhavya3549/house-prices-prediction-using-tfdf", "kernel_id": "65011151"}, {"ref": "ritalalwani/house-prices-advanced-regression-techniques", "kernel_id": "65690206"}, {"ref": "aizahzeeshan/house-prices-prediction-using-tfdf", "kernel_id": "65357040"}, {"ref": "jahid1163/house-price-analysis", "kernel_id": "65086780"}, {"ref": "syedmuhmmadzain/house-price-prediction-ipynb", "kernel_id": "65869806"}, {"ref": "shirleyhau/house-price-prediction-regression-python", "kernel_id": "65682302"}, {"ref": "trietp1253201581/house-prices-advanced-regression-techniques", "kernel_id": "65486498"}, {"ref": "ancy0105/house-price-using-advance-regression-techniques", "kernel_id": "65587919"}, {"ref": "marumboemmanuel/house-prices-prediction-using-tfdf", "kernel_id": "65474279"}, {"ref": "gooddeeds09/exploratory-data-analysis-on-house-pricing-dataset", "kernel_id": "65535016"}, {"ref": "rikuishiharaa/house-price", "kernel_id": "65481695"}, {"ref": "qiaoqianda/house-prices-prediction-using-tabular-transformer", "kernel_id": "65668447"}, {"ref": "elhelbawylogin/housing-price-advanced-regression-v3", "kernel_id": "65114472"}, {"ref": "darshandungrani/advanced-house-price-prediction-stacked-ensemble", "kernel_id": "65479510"}, {"ref": "jaewookchoi/nimjeawook", "kernel_id": "65021737"}, {"ref": "mariammostafa33/house-prices-advanced-regression", "kernel_id": "65284267"}, {"ref": "donatienoussa/house-price-v-2", "kernel_id": "65186731"}, {"ref": "ramematurana/notebook08000c8bc2-be0d4a", "kernel_id": "65414517"}, {"ref": "zhijunyuu/house-price-level1", "kernel_id": "65343681"}, {"ref": "giorgio85/notebook171190beea", "kernel_id": "65045441"}, {"ref": "mythilyarasu/house-price", "kernel_id": "65467751"}, {"ref": "abhishridhar/house-prices-predcition", "kernel_id": "65370658"}, {"ref": "muhamadshaban/house-price-submission", "kernel_id": "65665934"}, {"ref": "ruisichen65/house-prices-advanced-regression-techniques", "kernel_id": "65014418"}, {"ref": "limgieg/cs-294w-fall-2024-week-2", "kernel_id": "65233239"}, {"ref": "smae25/preecios-de-viviendas", "kernel_id": "65123248"}, {"ref": "codewithfakhri/task-2", "kernel_id": "65726324"}, {"ref": "faisalaryan/house-prices-advanced-regression", "kernel_id": "65401349"}, {"ref": "samaeldomanyy/linear-regression", "kernel_id": "65168101"}, {"ref": "xiangxuesong/house-prices-first-commit-got-11", "kernel_id": "65595904"}, {"ref": "nanotrueba/housing-price-regression-competition", "kernel_id": "65250223"}, {"ref": "dsdankirby/house-prices-project", "kernel_id": "65854125"}, {"ref": "ahmedtarek7/house-price", "kernel_id": "65873925"}, {"ref": "bebobob/multivariable-regression-and-polynomials", "kernel_id": "65609111"}, {"ref": "hunganh72/stack", "kernel_id": "65788385"}, {"ref": "anjalir101/notebook0932e1ef60", "kernel_id": "65872810"}, {"ref": "dhakshiin1601/pandasai-tutorial", "kernel_id": "66466204"}, {"ref": "funxexcel/house-prices-baseline-code", "kernel_id": "66649391"}, {"ref": "funxexcel/used-car-baseline-code", "kernel_id": "66653409"}, {"ref": "salman1127/advanced-house-price-prediction-xgb", "kernel_id": "66748871"}, {"ref": "coolanm60000/house-prices-eda-and-xgboost", "kernel_id": "66586527"}, {"ref": "aakcay/house-prices-prediction", "kernel_id": "66818860"}, {"ref": "jmartesv/notebook3ecae571d1", "kernel_id": "66049936"}, {"ref": "thesauravsingh/regularized-linear-models", "kernel_id": "66585285"}, {"ref": "ahmetbilgic/notebookb96dc2a862", "kernel_id": "66881564"}, {"ref": "kmjoshi8/house-price-prediction-with-regression", "kernel_id": "66877153"}, {"ref": "darwinberrio/house-predict-boston", "kernel_id": "66916691"}, {"ref": "ayushranjan01/houseprice-prediction-3", "kernel_id": "66642301"}, {"ref": "ayushranjan01/houseprice-prediction", "kernel_id": "66605334"}, {"ref": "mohammaddehghan/comparison-of-different-regresion-models", "kernel_id": "66087699"}, {"ref": "shahriarrahman10/house-price-prediction-using-gbr", "kernel_id": "66138091"}, {"ref": "vrindapandey/notebook6e363f48b6", "kernel_id": "66353996"}, {"ref": "rikuyasato/sato-mokumoku-featureengineering", "kernel_id": "66352870"}, {"ref": "rikuyasato/sato-mokumoku-crossvalidation", "kernel_id": "66787667"}, {"ref": "matthewmekha/house-price-competition", "kernel_id": "66359176"}, {"ref": "samithsachidanandan/house-prices-regression-analysis", "kernel_id": "66941793"}, {"ref": "taoli11/house-price", "kernel_id": "66233015"}, {"ref": "kscoder77/predicting-house-prices-random-forest-regression", "kernel_id": "66880050"}, {"ref": "hrudaymouly/house-prices-baseline-code", "kernel_id": "66649411"}, {"ref": "gabrielschaldach/0-11849-rmsle-top-100", "kernel_id": "66049362"}, {"ref": "anqitengteresa/simple-mlp", "kernel_id": "66858238"}, {"ref": "hrutujakalaskar/housing-price-prediction", "kernel_id": "66880618"}, {"ref": "fouedayedi/introtomlnotebook", "kernel_id": "66913549"}, {"ref": "ismetsemedov/house-prices-advanced-regression-techniques", "kernel_id": "66058020"}, {"ref": "ilapro53/8pthm-house-prices-lightautoml", "kernel_id": "66948156"}, {"ref": "piotrmachaj/house-prices-prediction", "kernel_id": "66253345"}, {"ref": "abhishrivastav/house-prices-prediction-using-tfdf", "kernel_id": "66498470"}, {"ref": "ahmedabdellahismail/house-prices-advanced-regression-techniques", "kernel_id": "66331218"}, {"ref": "monosep/notebook00671acf9c", "kernel_id": "66328888"}, {"ref": "natachatteecharcharn/house-prices-linear-algebra-project", "kernel_id": "66759488"}, {"ref": "dualipe/predicci-n-precio-casas-felipe-mart-nez-gajardo", "kernel_id": "66856808"}, {"ref": "willyyyyyy/laboratorio-evaluado-williams-dur-n", "kernel_id": "66861105"}, {"ref": "ahmedlashin/amis-house-price", "kernel_id": "66359487"}, {"ref": "ahmedlashin/house-prices-prediction-sic-group-6", "kernel_id": "66312034"}, {"ref": "emmanuelallan/21bce1999-emmanuel-allan-cross", "kernel_id": "66917358"}, {"ref": "swanandyamgar/notebook573ca9d163", "kernel_id": "66261236"}, {"ref": "fatulm/github-house-price-prediction-upstream", "kernel_id": "66767098"}, {"ref": "ahmedsharaf09/advanced-datapreprocessing-advance-regression", "kernel_id": "66242226"}, {"ref": "patilaakash619/housing-value-forecast-challenge-eda-lr-rf", "kernel_id": "66483861"}, {"ref": "bhavanavaddi/notebook9e8c6f5fe1", "kernel_id": "66540539"}, {"ref": "marlenatpanagiotakou/ieee-ntua-sb-ml-team-house-prices-beginner", "kernel_id": "66507308"}, {"ref": "shreyasur965/house-price-prediction-xg-boost-regressor", "kernel_id": "66509070"}, {"ref": "nehatirunagiri/ai2010xlab3", "kernel_id": "66579898"}, {"ref": "ismail89/house-prices-diffrent-approches", "kernel_id": "66266962"}, {"ref": "nilkanthahire/house-price-pred", "kernel_id": "66759423"}, {"ref": "caokhoihuynh/house-price-prediction-with-causality", "kernel_id": "66329058"}, {"ref": "panuwitamatariyakul/notebook20d1430db1", "kernel_id": "66746149"}, {"ref": "hajer8/hous-price-sic", "kernel_id": "66347780"}, {"ref": "hajer8/house-pricing-sic", "kernel_id": "66348565"}, {"ref": "chuan86/notebooka318f5015c", "kernel_id": "66178172"}, {"ref": "tinsuabdeta/house-price-prediction-tinsae", "kernel_id": "66845146"}, {"ref": "arpanmndl/house-price-prediction", "kernel_id": "66519787"}, {"ref": "obzngs/decisiontreeregressor-score-0-18919", "kernel_id": "66956234"}, {"ref": "amr7ac/housing-prices-example-with-video-walkthrough", "kernel_id": "66271582"}, {"ref": "muhammadwaleed5684/house-s-price-prediction", "kernel_id": "66574529"}, {"ref": "dimabutko/house-price-randomforestregression", "kernel_id": "66066902"}, {"ref": "dariuszbasiak/regression-from-scrach", "kernel_id": "66952731"}, {"ref": "afreenhossain/house-prices-prediction", "kernel_id": "66325477"}, {"ref": "nayerayasser/advanced-regretion-note-book", "kernel_id": "66065301"}, {"ref": "thomasjoshuadesa/house-prices", "kernel_id": "66630479"}, {"ref": "kylemccurdy/kyle-mccurdy-lab-3", "kernel_id": "66568420"}, {"ref": "ryosukekawauchi/housepriceprediction-ensembleave-standarddeviation", "kernel_id": "66040062"}, {"ref": "ryosukekawauchi/housepriceprediction-model-stacking", "kernel_id": "66477618"}, {"ref": "andrsducaud/labevaml", "kernel_id": "66848178"}, {"ref": "ahmedhussien710/house-price-prediction-with-ann", "kernel_id": "66229217"}, {"ref": "radwasalahelshahed/predict-home-price", "kernel_id": "66910800"}, {"ref": "anees1747/house-price-prediction-with-stacking-ensemble", "kernel_id": "66465897"}, {"ref": "jakebraasch/lab3jakeb", "kernel_id": "66471490"}, {"ref": "juanitoelbonito/lab-juan-herrera-ipynb", "kernel_id": "66913427"}, {"ref": "abhayprasannarao/lab-3", "kernel_id": "66570930"}, {"ref": "mahmoudalisalem/house-prices-advanced-regression-techniques", "kernel_id": "66338921"}, {"ref": "muhammaddawood42/house-prices-prediction", "kernel_id": "66344523"}, {"ref": "jennyzzhu/house-prices-neural-network-techniques-with-eda", "kernel_id": "66697326"}, {"ref": "imthebaron/house-prices", "kernel_id": "66895393"}, {"ref": "jaynek/notebook03da1360c7", "kernel_id": "66715924"}, {"ref": "mehulparmar2712/house-price-prediction-using-neural-network", "kernel_id": "66660742"}, {"ref": "swaminibarkale/notebookb1631c5b38", "kernel_id": "66541865"}, {"ref": "saivinayakula/house-prediction", "kernel_id": "66269960"}, {"ref": "mos2004v/sic-regression-v1", "kernel_id": "66272944"}, {"ref": "mos2004v/sic-regression-ml-task", "kernel_id": "66272650"}, {"ref": "vladislavlassa/baseline-catboostregressor", "kernel_id": "66199574"}, {"ref": "alicanpayasli01/struggle-missing-values-tutorial", "kernel_id": "66388032"}, {"ref": "mhb757/house-price-w-ames-housing-dataset", "kernel_id": "66208593"}, {"ref": "rikutoide/notebooka1b6751121", "kernel_id": "66934511"}, {"ref": "xinyang11010709/houses-price-estimate-with-tidymodels-and-h2o", "kernel_id": "66491303"}, {"ref": "seifali432/house-prices-seif", "kernel_id": "66907127"}, {"ref": "arfanhashif/houseprices", "kernel_id": "66857893"}, {"ref": "mahmoudwahban/ml-project-1-data-preprocssing", "kernel_id": "66210667"}, {"ref": "ibrahimchoudhury/ibrahim-project-dashapp", "kernel_id": "66776886"}, {"ref": "gladwinpaulbiju/house-prices-advanced-regression-techniques", "kernel_id": "66616227"}, {"ref": "ovexler/chatgpt-o1-preview", "kernel_id": "66711937"}, {"ref": "nourhanelshafay/house-price", "kernel_id": "66188352"}, {"ref": "vinciuscordeiro/use-of-3-ml-to-select-feature-importance-0-12415", "kernel_id": "66473430"}, {"ref": "dyiaaessam/houseprice", "kernel_id": "66348406"}, {"ref": "jaytyagi1/notebook4dbd076b45", "kernel_id": "66652857"}, {"ref": "ahmedghouneimy/ahmed-g-assignment-1", "kernel_id": "66390076"}, {"ref": "tanishakhan1403/house-price-prediction", "kernel_id": "66237665"}, {"ref": "saimanchi/house-price-prediction-sai", "kernel_id": "66355693"}, {"ref": "trumanpatterson/truman-s-ames-housing-data-analysis", "kernel_id": "66102651"}, {"ref": "johnburras/house-prices-advanced-regression-techniques-1", "kernel_id": "66104593"}, {"ref": "kategira/house-prices-kate-g", "kernel_id": "66104178"}, {"ref": "shreshtaanupindi/housing-prices-1", "kernel_id": "66573051"}, {"ref": "gavinsands/house-prices", "kernel_id": "66301553"}, {"ref": "zoeytiefenthaler/house-price-competition", "kernel_id": "66110859"}, {"ref": "schuylerridenour/house-prices-code", "kernel_id": "66104738"}, {"ref": "abbymccartan/notebook483fea2aba", "kernel_id": "66576559"}, {"ref": "isaacteller/fork-of-notebook94b74cb67c", "kernel_id": "66682932"}, {"ref": "isaacteller/notebook94b74cb67c", "kernel_id": "66536088"}, {"ref": "maddymcvey/house-price-maddy", "kernel_id": "66111065"}, {"ref": "nadir21/notebookd4057ab4a7", "kernel_id": "66533402"}, {"ref": "armaananand/diffrence-in-regression-models", "kernel_id": "66104599"}, {"ref": "tesspaton/houseprices-tess-draft-1", "kernel_id": "66104059"}, {"ref": "owenc14/houseprices", "kernel_id": "66105658"}, {"ref": "ethancomiskey/house-price-competition", "kernel_id": "66108180"}, {"ref": "coltonleppold/colton-leppold-linear-regression-model-ai", "kernel_id": "66104684"}, {"ref": "matthewrobinson63/kaggle-house-prices", "kernel_id": "66577347"}, {"ref": "armindia/notebookffa31e82dd", "kernel_id": "66580430"}, {"ref": "bullockbrooklyn/hp-sub-1", "kernel_id": "66103995"}, {"ref": "tadiwambuwayesango/notebooka75ae73b8d", "kernel_id": "66576043"}, {"ref": "zachaschmitz/notebook7e9eb0bfe1", "kernel_id": "66103962"}, {"ref": "prashanthk8/comparision-between-different-regression-model", "kernel_id": "66104679"}, {"ref": "prashanthk8/advance-regression-house-prices-11", "kernel_id": "66578592"}, {"ref": "meghasyampeddireddy/ai-201", "kernel_id": "66580483"}, {"ref": "georgiyverenich/house-prices-competition-code", "kernel_id": "66463552"}, {"ref": "abdelwhabmohamed05/notebook33dbff998e", "kernel_id": "66890191"}, {"ref": "abdelwhabmohamed05/notebookf432aeb930", "kernel_id": "66268266"}, {"ref": "hagerezz7/house-price", "kernel_id": "66302855"}, {"ref": "hagerezz7/house-price-final", "kernel_id": "66333632"}, {"ref": "ahmedmostafa101/notebookc86a73b3bc", "kernel_id": "66317539"}, {"ref": "benjamindemarais/house-prices", "kernel_id": "66462237"}, {"ref": "ahmedismailelbrolosy/sic-regression-ml-task", "kernel_id": "66559613"}, {"ref": "ahmedismailelbrolosy/notebookb2a5c35f37", "kernel_id": "66338098"}, {"ref": "ahmedismailelbrolosy/houseprices", "kernel_id": "66197496"}, {"ref": "umeshsaitejapoola/ai2010xlab3", "kernel_id": "66578854"}, {"ref": "rohansamuelg/house-price-prediction-g15", "kernel_id": "66239359"}, {"ref": "calebnhkum/comp-597-hw-1", "kernel_id": "66341129"}, {"ref": "varunmurjani/house-prices-prediction-using-multiple-regression", "kernel_id": "66665239"}, {"ref": "maramkhalid67/house-price-advanced-regression", "kernel_id": "66938115"}, {"ref": "juliohsu/house-prediction-linear-regression", "kernel_id": "66138978"}, {"ref": "suresh7889/house-prices-advanced-regression-techniques", "kernel_id": "66263778"}, {"ref": "itsrlhaenud/housedemo", "kernel_id": "66293446"}, {"ref": "aaghaazkhan/house-price-prediction", "kernel_id": "66977023"}, {"ref": "sebaperezuft/house-prices-prediction-using-tfdf", "kernel_id": "66911476"}, {"ref": "funxexcel/house-prices-preprocessing", "kernel_id": "67474725"}, {"ref": "funxexcel/eda-framework", "kernel_id": "67035147"}, {"ref": "tuscarora/greenehouseprices", "kernel_id": "67266367"}, {"ref": "takach/house-prices-for-beginners-learning", "kernel_id": "67969387"}, {"ref": "hakasen/house-prices", "kernel_id": "67142525"}, {"ref": "carlosgorricho/house-prices-prediction-my-own-work", "kernel_id": "67710304"}, {"ref": "sanujitdash/house-prices-advanced-regression-techniques-30", "kernel_id": "67215264"}, {"ref": "rikuyasato/sato-mokumoku-pipeline", "kernel_id": "67902222"}, {"ref": "asemmustafa/predict-future-sales", "kernel_id": "67263382"}, {"ref": "noorchauhan/pyspark", "kernel_id": "67542115"}, {"ref": "alexandrequintin/house-prices", "kernel_id": "67263953"}, {"ref": "rabiiarfaoui/house-prices-advanced-regression-techniques", "kernel_id": "67006990"}, {"ref": "esabellechen/housing-price-prediction-xgb-catb-stack", "kernel_id": "67319526"}, {"ref": "patiencemadzivire/house-prices-prediction", "kernel_id": "67095535"}, {"ref": "vinitpitrubhakta/house-price-prediction-using-tfdf-random-forest", "kernel_id": "67277983"}, {"ref": "carloscll/house-price", "kernel_id": "67709034"}, {"ref": "huanyanlim/house-price-prediction", "kernel_id": "67632191"}, {"ref": "rmsbms/feature-engineering-with-rf", "kernel_id": "67424163"}, {"ref": "noussairmighri/house-price-prediction-top-4", "kernel_id": "67055421"}, {"ref": "mikhailbystrov/hw3-bystrov-m-a", "kernel_id": "67318024"}, {"ref": "choijian1/house-price-prediction", "kernel_id": "67220750"}, {"ref": "rishikumaryadav/house-price-xgbregressor-and-rfregressor", "kernel_id": "67169968"}, {"ref": "rishikumaryadav/house-price-advance-regression-technique", "kernel_id": "67171377"}, {"ref": "rishikumaryadav/house-prices-xgboost-regression-model", "kernel_id": "67152077"}, {"ref": "islamzoghla/house-pricing-reg", "kernel_id": "67044714"}, {"ref": "aadith0/house-price-prediction", "kernel_id": "67095785"}, {"ref": "gekisoba/house-sales-price-predict-top-5", "kernel_id": "67987628"}, {"ref": "docmhvr/housepricepredictor", "kernel_id": "67123143"}, {"ref": "daadalhassan/house-prices", "kernel_id": "67221156"}, {"ref": "esracum/house-price-prediction-with-gda-algorithm", "kernel_id": "67671209"}, {"ref": "lucasmcmatos/house-prices-prediction-mlr-algorithm", "kernel_id": "67342456"}, {"ref": "grandwizard/houseprices-linear-regression", "kernel_id": "67908448"}, {"ref": "fairuzm/dapros", "kernel_id": "67782771"}, {"ref": "obzngs/decisiontreeregressor-score-0-25547", "kernel_id": "67261602"}, {"ref": "mrayasatriatama/house-prices-prediction-using-grid-search", "kernel_id": "67184167"}, {"ref": "c0mpl3xalpha/house-price-pridiction-using-pytorch", "kernel_id": "67373607"}, {"ref": "rehamh/house-price-prediction", "kernel_id": "67895937"}, {"ref": "cansusary/house-price-prediction", "kernel_id": "67171000"}, {"ref": "gabrielmariebrisson/notebookb43f8139c6", "kernel_id": "67247879"}, {"ref": "mehvishh/house-price-prediction", "kernel_id": "67046189"}, {"ref": "rohitkumar1207/notebook7336500ddd", "kernel_id": "67189536"}, {"ref": "ahmedashraf299/house-prices-advanced-regression-r2-89", "kernel_id": "67047623"}, {"ref": "kirillei/notebook556cb58f92", "kernel_id": "67099514"}, {"ref": "gopikabindupavithran/house-price-prediction-elastic-net-regression", "kernel_id": "67225802"}, {"ref": "saimnasir/house-price-advance-regression", "kernel_id": "67270236"}, {"ref": "akerachansongchuang/house-prices-prediction", "kernel_id": "67785861"}, {"ref": "bardiatalebian/house-prices-prediction-using-linear-regression", "kernel_id": "67807618"}, {"ref": "yuasaiko/my-first-houseprices", "kernel_id": "67430236"}, {"ref": "mhmmdkashif/notebook188a12de77", "kernel_id": "67336448"}, {"ref": "jennyzzhu/fork-of-house-prices-random-forest", "kernel_id": "67120384"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "joelcheriyan/housepriceprediction", "kernel_id": "67052455"}, {"ref": "bondggxu/xyt-learn", "kernel_id": "67811769"}, {"ref": "abda11ah/house-price-prediction", "kernel_id": "67952594"}, {"ref": "gunaseelansanthosh/house-price-prediction", "kernel_id": "67043800"}, {"ref": "nicolasistaken/predicci-n-de-precios-de-viviendas", "kernel_id": "67742718"}, {"ref": "passionfruit216/stacking-blending", "kernel_id": "67602394"}, {"ref": "rikutoide/notebook1222c1d3c1", "kernel_id": "67090125"}, {"ref": "nouranmahmoudd/prices-prediction-r2-score-89", "kernel_id": "67040756"}, {"ref": "fawad4040/housing-competition", "kernel_id": "67703222"}, {"ref": "qannai/house-prediction-r2-score-89-90", "kernel_id": "67486272"}, {"ref": "seifali432/completely-beginner-xgb-lgbm-all-code-commented", "kernel_id": "67063806"}, {"ref": "krisfangkx/regularized-linear-models", "kernel_id": "67878690"}, {"ref": "abdelrahmanalaa135/housesprices", "kernel_id": "67625630"}, {"ref": "marifinipin/data-2-kelompok-5", "kernel_id": "67834092"}, {"ref": "mutiaranoviantirambe/dapros-kelompok-2", "kernel_id": "67782668"}, {"ref": "reyhanarnas/dp-pertemuan-ke-7", "kernel_id": "67779288"}, {"ref": "ishanakarpe/expert-predictions-on-house-prices", "kernel_id": "67015852"}, {"ref": "ishanakarpe/regression-of-house-prices-draft", "kernel_id": "67013249"}, {"ref": "hyangyoungsong/house-prices-prediction", "kernel_id": "67345279"}, {"ref": "fahmibachir/house-price-prediction-beginner-s-notebook", "kernel_id": "67373338"}, {"ref": "dadada1083/house-prices", "kernel_id": "67938409"}, {"ref": "vinayakvathare/advance-house-price-prediction", "kernel_id": "67099020"}, {"ref": "mnik55/housing-prediction", "kernel_id": "67846679"}, {"ref": "changchiayeah/notebookd6a44052a4", "kernel_id": "67977929"}, {"ref": "a113ssa/house-prices-prediction-using-tfdf", "kernel_id": "67923707"}, {"ref": "songokul/basic-model-2-house-price", "kernel_id": "67787656"}, {"ref": "bahijabenmohamed1998/house-prices-prediction-using-tfdf", "kernel_id": "67982337"}, {"ref": "selcukcan/da-9-2-python-a-complete-pandas-tutorial", "kernel_id": "68854439"}, {"ref": "mmakemd/epam-house-pricing", "kernel_id": "68440006"}, {"ref": "ayushranjan01/fork-of-housingpriceprediction", "kernel_id": "68762974"}, {"ref": "lindajonnes/welcome-to-data-science-in-r-workbook", "kernel_id": "68059132"}, {"ref": "murtadhayaseen/house-prices", "kernel_id": "68505458"}, {"ref": "ademboukhris/llm-function-calling-house-prices-data-analysis", "kernel_id": "68748638"}, {"ref": "godspeedhuang/course-predicting-house-prices-with-regression", "kernel_id": "68450331"}, {"ref": "trthc2001/d-o-n-gi-nh-nh-m-6", "kernel_id": "68013448"}, {"ref": "bulatgizatullin/notebook25f1446009", "kernel_id": "68353056"}, {"ref": "drewyross/house-price-prediction-competition", "kernel_id": "68113824"}, {"ref": "abdellahchioua/house-pricing-predictions", "kernel_id": "68809513"}, {"ref": "awaisabbas1234/prediction-of-house-price-awais", "kernel_id": "68486164"}, {"ref": "sadekali1/house-prices", "kernel_id": "68875024"}, {"ref": "omarpi/detailed-explanation-for-the-model-building", "kernel_id": "68406066"}, {"ref": "georgeballos/ieee-ntua-sb-ml-team-house-prices-workshop", "kernel_id": "68539617"}, {"ref": "wwwittt/blend-model", "kernel_id": "68019128"}, {"ref": "ryo0905/house-prices-predictions-by-pycaret", "kernel_id": "68856589"}, {"ref": "pymysql/house-sales-price-test", "kernel_id": "68988583"}, {"ref": "yuanyuandeng/2-0house-price", "kernel_id": "68074742"}, {"ref": "mdashekmahmud/house-prices-advanced-regression-techniques", "kernel_id": "68567301"}, {"ref": "fankaidev/comprehensive-data-exploration-with-python", "kernel_id": "68330952"}, {"ref": "chutuic/course-predicting-house-prices-with-regression", "kernel_id": "68457728"}, {"ref": "manjeetnln/iml-submission", "kernel_id": "68417167"}, {"ref": "colbyle25/ncc9kn-housing-price-prediction", "kernel_id": "68590689"}, {"ref": "walaa12/housesale-priceprediction", "kernel_id": "68411079"}, {"ref": "systematicguy/house-prices-solution", "kernel_id": "68479633"}, {"ref": "zeinebhachaichi/salesprediction", "kernel_id": "68564300"}, {"ref": "huniro/house-prices-prediction-pyspark-guide", "kernel_id": "68468870"}, {"ref": "justatirkey101/im-group9", "kernel_id": "68863808"}, {"ref": "monarhovich/notebook24ee9526e1", "kernel_id": "68926574"}, {"ref": "devaanshpuri/house-price-prediction", "kernel_id": "68905977"}, {"ref": "ofgehagelana/eda-house-price-prediction", "kernel_id": "68958346"}, {"ref": "masanoo/house-prices-advanced-regression-techniques", "kernel_id": "68680851"}, {"ref": "tiheli/house-prices-advanced-regression-tech", "kernel_id": "68086460"}, {"ref": "shivanshchhawri/notebook404ba84bc4", "kernel_id": "68887113"}, {"ref": "prarthanasinghsengar/house-price-prediction", "kernel_id": "68382526"}, {"ref": "alialmulla97/house-sales-price-prediction", "kernel_id": "68400359"}, {"ref": "tensorkanak/housing-saleprice-prediction-project", "kernel_id": "68565715"}, {"ref": "alexchilton/housing-price-regression-removed-columns", "kernel_id": "68472872"}, {"ref": "miftahuladib/housing-price-regression-top-4", "kernel_id": "68002278"}, {"ref": "kunal75/house-price-prediction-regression-ml-vs-dl", "kernel_id": "68906536"}, {"ref": "jahnavipaliwal/house-prices-histgradientboostingregressor", "kernel_id": "68445047"}, {"ref": "vitormeurerbesen/house-price-prediction-0-11798-no-cheating", "kernel_id": "68498584"}, {"ref": "haticeacaryldrm/regression-of-house-price", "kernel_id": "68420159"}, {"ref": "aerkha/ridge-regression-house-prices-aerkha", "kernel_id": "68556036"}, {"ref": "cristina708/tema1-ia", "kernel_id": "68507729"}, {"ref": "teddyglass/house-price", "kernel_id": "68055716"}, {"ref": "jralphur/cs4650-titanic", "kernel_id": "68432903"}, {"ref": "hussainahamed/house-price-predictions-r2-score-91-5", "kernel_id": "68459248"}, {"ref": "cemreremkarabay/outlier-the-silent-killer", "kernel_id": "68566533"}, {"ref": "uyhhyuihui/homs123", "kernel_id": "68815492"}, {"ref": "loiswiszniewski/house-prices-prediction-with-linear-regression", "kernel_id": "68554633"}, {"ref": "chenchennan/178-house", "kernel_id": "68910637"}, {"ref": "wantangzhouzhou/stacking", "kernel_id": "68608398"}, {"ref": "aeki0702/eda-house-prices", "kernel_id": "68392471"}, {"ref": "kelvinzhang2024/y-versus-log-y", "kernel_id": "68131164"}, {"ref": "kaiyoo88/tutorial-house-price-prediction", "kernel_id": "68651544"}, {"ref": "buildmeamodel/house-prices-prediction-using-tfdf", "kernel_id": "68274432"}, {"ref": "cuiguangsen220110420/220110420-cuiguangsen-hitsz-bigdataproject2024", "kernel_id": "68380845"}, {"ref": "mariusmdlinniculescu/laborator1", "kernel_id": "68484462"}, {"ref": "datanerd2233/house-price-advance-regression-technique", "kernel_id": "68610801"}, {"ref": "hajaralna/mlproject", "kernel_id": "68712405"}, {"ref": "masterofnone76/house-prices-solution", "kernel_id": "68733733"}, {"ref": "wileywong/mykagglehousingprice", "kernel_id": "68745344"}, {"ref": "wangyiou322/wyo-houseprice-predict", "kernel_id": "68900137"}, {"ref": "sevenmicky/notebookdbe45668cb", "kernel_id": "68921907"}, {"ref": "scarletmclearn/feature-selection-guide", "kernel_id": "69170807"}, {"ref": "istiaqahmedfahad/stacked-regressions", "kernel_id": "69897990"}, {"ref": "joshiatri/house-price-prediction-advanced-regression-1", "kernel_id": "69397435"}, {"ref": "sharifmabdullah/house-prices-prediction", "kernel_id": "69903621"}, {"ref": "sanjana11147/stacking-ridge-reg-random-forest-xgboost", "kernel_id": "69261222"}, {"ref": "mesho11/house-price-prediction", "kernel_id": "69343313"}, {"ref": "mdjubaerhosain/house-prices-advanced-regression-techniques-pol", "kernel_id": "69902124"}, {"ref": "mehadihassansaki/inferential-statistics-batch-2514-dsai-class", "kernel_id": "69256444"}, {"ref": "swallowtailan/house-price-prediction-with-rf-and-xgb", "kernel_id": "69940773"}, {"ref": "jijagallery/house-prices-prediction-using-xgboost", "kernel_id": "69211140"}, {"ref": "adarshmajhi/oct2k24-house-price-prediction", "kernel_id": "69234979"}, {"ref": "georgeballos/house-prices-random-forests", "kernel_id": "69321993"}, {"ref": "kamruzzamanasif/bsse-1217-house-price-prediction", "kernel_id": "69901295"}, {"ref": "sifatsikder/housing-price-regression", "kernel_id": "69898820"}, {"ref": "abjpaul/house-price-1201", "kernel_id": "69897890"}, {"ref": "wwwittt/hp-cnn2", "kernel_id": "69831894"}, {"ref": "rifahtashfihafaria/house-prices-prediction-using-tfdf", "kernel_id": "69902216"}, {"ref": "fahimmahmud1231/notebook9802ef9bb2", "kernel_id": "69900167"}, {"ref": "thadicherlahrishith/house-price-prediction", "kernel_id": "69316603"}, {"ref": "ojshavsaxena/house-price-competetion", "kernel_id": "69650503"}, {"ref": "rufidatulradium/house-prices-advanced-regression-techniques", "kernel_id": "69902671"}, {"ref": "ameenamiri/first-deliverable-dummy-model", "kernel_id": "69543586"}, {"ref": "marlenatpanagiotakou/ieee-ntua-sb-ml-team-house-prices-tfdf", "kernel_id": "69357307"}, {"ref": "jandyndor/advanced-analysis-and-feature-engineering", "kernel_id": "69115168"}, {"ref": "umeshk10/feature-selection-tutorial", "kernel_id": "69869289"}, {"ref": "umeshk10/how-to-deal-with-missing-values", "kernel_id": "69801110"}, {"ref": "asmahachaichi/house-prices-prediction-automl", "kernel_id": "69261553"}, {"ref": "shazzadhossainhasib/house-price-prediction-model", "kernel_id": "69903993"}, {"ref": "hashinijayasundara/house-prices-advanced-regression-techniques", "kernel_id": "69729393"}, {"ref": "minzai0116/xgblgbmcatboostrfgb-ensemble", "kernel_id": "69476082"}, {"ref": "mutunganoah/house-price-prediction", "kernel_id": "69943248"}, {"ref": "ashutosh598/house-price-competition", "kernel_id": "69643797"}, {"ref": "momenfahmid/house-prices-1227", "kernel_id": "69919354"}, {"ref": "fingeroque/house-pricing", "kernel_id": "69892584"}, {"ref": "aumanshgupta/predictions", "kernel_id": "69485109"}, {"ref": "rafaelgomeslucena/house-prices", "kernel_id": "69498886"}, {"ref": "chanyatchun/team-18", "kernel_id": "69419454"}, {"ref": "stutigargclemson/dummy-model-checkpoint", "kernel_id": "69543553"}, {"ref": "mehzabinhaque1233/bsse-1233", "kernel_id": "69900390"}, {"ref": "shathamubarak/house-price-prediction", "kernel_id": "69002346"}, {"ref": "siyuuzoeyzhou/house-price-prediction", "kernel_id": "69720837"}, {"ref": "shriyapise/house-pred-725", "kernel_id": "69275723"}, {"ref": "ryosukekawauchi/predict-house-price-original-dataset", "kernel_id": "69458251"}, {"ref": "paweekorns/house-price-regression", "kernel_id": "69531029"}, {"ref": "valdinidouglace/prediction-du-prix-des-appartements-avec-r2-99", "kernel_id": "69422362"}, {"ref": "mdtanvirmahamudhimel/housepriceprediction", "kernel_id": "69550414"}, {"ref": "mohammadnaserian/house-price-preparation", "kernel_id": "69027330"}, {"ref": "nikhith121/house-price-prediction", "kernel_id": "69114609"}, {"ref": "tanmayavats/notebook864a947b24", "kernel_id": "69171844"}, {"ref": "silanmahoot/linear-regression-random-forest-loo-reg-poly", "kernel_id": "69938650"}, {"ref": "ngb0405/house-price-prediction-model", "kernel_id": "69536004"}, {"ref": "umeshkumarrai123/house-price-prediction", "kernel_id": "69743341"}, {"ref": "khondakertasniahoque/house", "kernel_id": "69901530"}, {"ref": "tongxing123/group-wr", "kernel_id": "69974133"}, {"ref": "kommineniyasodha/notebookffa49f1e17", "kernel_id": "69170705"}, {"ref": "twangp/template-housing-price-lr-submit-1", "kernel_id": "69160063"}, {"ref": "xinyang11010709/houses-price-estimate-with-tidymodels-h2o-update", "kernel_id": "69138833"}, {"ref": "muhammadhamzanawaz/house-price-prediction-using-ml", "kernel_id": "69815132"}, {"ref": "ahmedmohamednabih/houses", "kernel_id": "69088651"}, {"ref": "reciclador/house-prices", "kernel_id": "69458253"}, {"ref": "dreamlong/house-price", "kernel_id": "69656085"}, {"ref": "huzaifawatto/house-prediction-decision-tree", "kernel_id": "69561254"}, {"ref": "hasibabdullahsarker/house-price-prediction-using-linear-models", "kernel_id": "69902103"}, {"ref": "wantangzhouzhou/kaggle", "kernel_id": "69925745"}, {"ref": "furkanercan88/method-of-a-novice-overthinker-housepricepredict", "kernel_id": "69196716"}, {"ref": "shathaalmuhanna/ml-project", "kernel_id": "69737495"}, {"ref": "sunblakhan/project-2-predicting-sales-prices-in-ames-lowa", "kernel_id": "69416495"}, {"ref": "jiya098/beginner-project-predicting-housing-prices", "kernel_id": "69842130"}, {"ref": "ghanashyam1/supervised-learning-regression", "kernel_id": "69758122"}, {"ref": "mariacendan/proyectofinal-mariacendan", "kernel_id": "69420053"}, {"ref": "harunatakagi/notebook-houseprice", "kernel_id": "69487415"}, {"ref": "sum1205/testing-houses-prices", "kernel_id": "69562054"}, {"ref": "tasnimsamad/house-price-1208", "kernel_id": "69900413"}, {"ref": "urvashivsharma/problem1", "kernel_id": "69937133"}, {"ref": "antonismailov/house-price-baseline", "kernel_id": "69947942"}, {"ref": "xiefei/cross-validation", "kernel_id": "70161613"}, {"ref": "zenomoung/advanced-model-with-parallelization", "kernel_id": "70101283"}, {"ref": "moisougata/data-analytics", "kernel_id": "70711539"}, {"ref": "ericwadowsky/wadowsky-house-prices", "kernel_id": "70054836"}, {"ref": "alakhirnayan/house-prices-ml", "kernel_id": "70402904"}, {"ref": "jackjai/house-price-prediction", "kernel_id": "70563435"}, {"ref": "ditipriyadutta/linear-regression", "kernel_id": "70182808"}, {"ref": "fcogarridojimenez/prediccion-de-precios-de-casas", "kernel_id": "70196804"}, {"ref": "pranjali1121/house-prices", "kernel_id": "70914229"}, {"ref": "loclaffineur/house-prices-regression-project", "kernel_id": "70187220"}, {"ref": "kalydryhmn/house-price-prediction", "kernel_id": "70709757"}, {"ref": "zeeshier/house-prices-prediction", "kernel_id": "70003295"}, {"ref": "a7lia8del/home-price-insights-and-prediction", "kernel_id": "70985255"}, {"ref": "mohammadrezanejad/predicting-house-prices-using-stacking", "kernel_id": "70567882"}, {"ref": "imasadmalik/house-prices-advanced-regression-techniques", "kernel_id": "70219633"}, {"ref": "osypenkoira/house-prices-advanced-regression-techniques", "kernel_id": "70150058"}, {"ref": "ateibuzena/advanced-regression-ana-zubieta", "kernel_id": "70907694"}, {"ref": "rafaelgomeslucena/house-prices-rfc-rscv", "kernel_id": "70051796"}, {"ref": "oksanaturii/advanced-regression-house-prices1", "kernel_id": "70837593"}, {"ref": "andrejeronimaguerra/ames-iowa-predict-house-sale-prices", "kernel_id": "70955557"}, {"ref": "adityakeshav393/houseprice", "kernel_id": "70606723"}, {"ref": "eden0304/all-you-need-is-pca-lb-0-11421-top-4", "kernel_id": "70962283"}, {"ref": "abcaballero/house-prices-prediction-using-tfdf", "kernel_id": "70832136"}, {"ref": "lakshaysharma77/lakshay-house-prices-numerical-cols-chatgpt-linear", "kernel_id": "70659086"}, {"ref": "davesicat/03-housingpricesprediction1", "kernel_id": "70434641"}, {"ref": "ufugunes/house-prices-advanced-demo", "kernel_id": "70790153"}, {"ref": "sinyeesim/1-housing-price-prediction-regression", "kernel_id": "70062313"}, {"ref": "sinyeesim/1-housing-price-prediction-regression-v2", "kernel_id": "70857131"}, {"ref": "zafarali27/houseprice-insight", "kernel_id": "70479951"}, {"ref": "janelletran/house-price-predictor", "kernel_id": "70825223"}, {"ref": "francescodantone/house-prices-grad-b", "kernel_id": "70449662"}, {"ref": "bnbattuta/house-prices-competition", "kernel_id": "70173722"}, {"ref": "chidamak/house-price-prediction", "kernel_id": "70901873"}, {"ref": "zlatanshev/shevchenko-hp-kaggle", "kernel_id": "70099527"}, {"ref": "piyumiimasha/houseprices", "kernel_id": "70247576"}, {"ref": "berrinkaradag/house-price-eda-ml", "kernel_id": "70266012"}, {"ref": "mirai8work/lab-05-sd", "kernel_id": "70017615"}, {"ref": "muhammadhamzanawaz/house-price-prediction-using-machine-learning", "kernel_id": "70171802"}, {"ref": "padamwagle/dummy-model-notebook", "kernel_id": "70035604"}, {"ref": "isseimatsuzoe/house-prices-in-class", "kernel_id": "70216257"}, {"ref": "michaelhoyinau/house-price-one-hot-encoding", "kernel_id": "70140713"}, {"ref": "rickyfranco/project4v2-house-prices", "kernel_id": "70717175"}, {"ref": "colinsellers/cs4650team", "kernel_id": "70647499"}, {"ref": "jralphur/project-4-cs-4650", "kernel_id": "70833526"}, {"ref": "pranavsharma2001/notebooke29822eace", "kernel_id": "70837299"}, {"ref": "sophiavanessaarce/group-project", "kernel_id": "70816570"}, {"ref": "alexanderryanalbert/notebook", "kernel_id": "70845598"}, {"ref": "mhdfahedalkhiami/cs-4650-group-project", "kernel_id": "70836407"}, {"ref": "tianlewangcpp/project-4", "kernel_id": "70855145"}, {"ref": "nil2012/housing-price-prediction-hyperparameters-tuning", "kernel_id": "70958093"}, {"ref": "ductri01/du-do-n-gi-nh", "kernel_id": "70764694"}, {"ref": "neoguilde/house-prices", "kernel_id": "70148305"}, {"ref": "joudalnemer1/hpp-lastt", "kernel_id": "70384215"}, {"ref": "hayannnlee/test-hayan", "kernel_id": "70642913"}, {"ref": "hadeelabuheimed/house-price-prediction1", "kernel_id": "70196196"}, {"ref": "hadeelabuheimed/hpp-lastt", "kernel_id": "70621377"}, {"ref": "demamohammed/kaggle-housing-youtube-video", "kernel_id": "70823522"}, {"ref": "kleedg/boston-house-xgboost", "kernel_id": "70403814"}, {"ref": "kachunglai/comp4433-competition-s-code-ask-poe", "kernel_id": "70870035"}, {"ref": "marcoyuen102/ben-and-marco", "kernel_id": "70066602"}, {"ref": "lamyaalmusallam/ml7w3g2", "kernel_id": "70087615"}, {"ref": "suzukikenta20010602/suzuki-class", "kernel_id": "70529387"}, {"ref": "yolandayeung/house-price-prediction", "kernel_id": "70962251"}, {"ref": "meanjai/group-6", "kernel_id": "70069837"}, {"ref": "saichithrasaravanan/house-price-adv-ml", "kernel_id": "70586134"}, {"ref": "kazuoyamada/api-key-set", "kernel_id": "70137342"}, {"ref": "ironwolf437/house-prices-ml", "kernel_id": "70290042"}, {"ref": "lyypaul/house-prices", "kernel_id": "70382897"}, {"ref": "afnanalgh/notebook6411fc01fd", "kernel_id": "70801394"}, {"ref": "lujainalluhaydan/house-price-prediction-project", "kernel_id": "70828121"}, {"ref": "sophieb/house-prices-pipelines", "kernel_id": "71804947"}, {"ref": "funxexcel/house-prices-numerical", "kernel_id": "71821130"}, {"ref": "tonikhilkumarreddy/housing-15k", "kernel_id": "71923521"}, {"ref": "nadezhda2019/ensembles-tasks", "kernel_id": "71924080"}, {"ref": "olajidechris/house-prices-prediction-using-tfdf", "kernel_id": "71998023"}, {"ref": "ngkhang/bryan", "kernel_id": "71401101"}, {"ref": "kennikonate/housepriceprediction-linear-regression", "kernel_id": "71274697"}, {"ref": "mcpolabearlow/house-price-beginner", "kernel_id": "71553189"}, {"ref": "sepidehghanadi/price-prediction-of-houses", "kernel_id": "71931256"}, {"ref": "nicolaskylilis/house-prices-tf-gradient-boosted-decision-trees", "kernel_id": "71665978"}, {"ref": "teojoby/house-prices", "kernel_id": "71552265"}, {"ref": "harshityadav229/lightboost-and-catboost-solution-to-the-house-prob", "kernel_id": "71052041"}, {"ref": "olaelshiekh/ann-housepricing", "kernel_id": "71616512"}, {"ref": "graystar/241209-house-prices", "kernel_id": "71947414"}, {"ref": "tszkeichen/comp4433-over3boom4", "kernel_id": "71053721"}, {"ref": "pushkarjethwa/detailed-exploratory-data-analysis-with-python", "kernel_id": "71376344"}, {"ref": "moaazreda/house-prices-awesome-12-25", "kernel_id": "71865343"}, {"ref": "alienster/house-prices-prediction-using-tfdf", "kernel_id": "71890755"}, {"ref": "stephanpuget/house-prices", "kernel_id": "71319325"}, {"ref": "mohamedkhaledidris/taskproject-it426t-first-semester2024", "kernel_id": "71076415"}, {"ref": "bissm4rk/house-prices-solution-beginner", "kernel_id": "71787241"}, {"ref": "ihdufxr2024/kaggle-7-xgbst-enet", "kernel_id": "71393503"}, {"ref": "ihdufxr2024/my-try", "kernel_id": "71509076"}, {"ref": "saimhzafar/house-prices-competition", "kernel_id": "71732810"}, {"ref": "jennisjane/house-price-prediction-project", "kernel_id": "71466315"}, {"ref": "jhacelam/merge", "kernel_id": "71285449"}, {"ref": "jhacelam/house-prices", "kernel_id": "71235960"}, {"ref": "saharnazyaghoobpoor/house-prices-prediction", "kernel_id": "71861703"}, {"ref": "sreekarakkinapalli/house-price-prediction-using-regression", "kernel_id": "71034200"}, {"ref": "niteshchawla5/house-price-prediction-competition-ml-catboost", "kernel_id": "71324330"}, {"ref": "erickmoreirav/housing-competition-randomforest-in-r", "kernel_id": "71083614"}, {"ref": "vishalaru/house-prices-advanced-regression-techniques", "kernel_id": "71665935"}, {"ref": "mtreeu/house-prices-prediction", "kernel_id": "71136702"}, {"ref": "patrick2544/math-444-project-1-new", "kernel_id": "71641256"}, {"ref": "chandashekar8/house-price-prediction", "kernel_id": "71945522"}, {"ref": "rchristmas/notebookc599c3e4a8", "kernel_id": "71229729"}, {"ref": "eden0304/houseprice4-1", "kernel_id": "71027183"}, {"ref": "eden0304/houseprice6-0", "kernel_id": "71107706"}, {"ref": "andytingzhiwei/house-price-prediction-xgboost", "kernel_id": "71606574"}, {"ref": "shresthajeevan/house-prices-prediction-advanced-regressions", "kernel_id": "71739722"}, {"ref": "aslemimolu/ev-fiyatlar-veri-madencili-i", "kernel_id": "71337622"}, {"ref": "ravesandstorm/81d-regression-testing", "kernel_id": "71969974"}, {"ref": "kebinnuil/house-price-prediction-using-tfdf-competition", "kernel_id": "71441647"}, {"ref": "rukmaltharaka/house-price-prediction", "kernel_id": "71839759"}, {"ref": "m0hamedreda/house-pricing", "kernel_id": "71560205"}, {"ref": "missssha/house-prices", "kernel_id": "71775265"}, {"ref": "jianfengliu0413/house-price-15-ml", "kernel_id": "71135444"}, {"ref": "ahmed1597/house-prices-prediction-advanced-regression-tech", "kernel_id": "71619581"}, {"ref": "karimtawfik/house-prices-prediction", "kernel_id": "71190491"}, {"ref": "isaiak/a-detailed-regression-analysis-on-house-pricing", "kernel_id": "71179645"}, {"ref": "ryancjc/feature-engineering-for-house-prices", "kernel_id": "71144000"}, {"ref": "gingaohishi/houseprices", "kernel_id": "71090039"}, {"ref": "zainabad/house-price-dataset", "kernel_id": "71533192"}, {"ref": "vanitech8/house-price-predictions", "kernel_id": "71127788"}, {"ref": "rishita00/kmeans-to-regression", "kernel_id": "71295681"}, {"ref": "tshinya1120/house-prices-advanced-regression-techniques-v1", "kernel_id": "71162858"}, {"ref": "elizabethxxt/house-prices-advanced-regression-competition", "kernel_id": "71360163"}, {"ref": "doudou09/housepricing", "kernel_id": "71827365"}, {"ref": "jonasexcepy/data-science-v3-9", "kernel_id": "71604882"}, {"ref": "tamernada/ann-houseprc", "kernel_id": "71616508"}, {"ref": "richiesikaonga/notebook702dd64487", "kernel_id": "71632887"}, {"ref": "eeetteee/feature-engineering-for-house-prices", "kernel_id": "71468245"}, {"ref": "davidlopezlorenzo/predicting-house-prices-with-machine-learning", "kernel_id": "71339315"}, {"ref": "tgpfull/random-forest", "kernel_id": "71847464"}, {"ref": "sardormamatqobilov/house", "kernel_id": "71586770"}, {"ref": "khushbukakdiya/house-prices", "kernel_id": "71714856"}, {"ref": "shathaalfaris/notebook0fb0e5d513", "kernel_id": "71353189"}, {"ref": "liujiarongcheng/notebookb7b69a94a7", "kernel_id": "71235692"}, {"ref": "liujiarongcheng/hahaha", "kernel_id": "71218725"}, {"ref": "liujiarongcheng/ninini", "kernel_id": "71237724"}, {"ref": "irenedenevi99/house-prices-advanced-regression-techniques", "kernel_id": "71641766"}, {"ref": "emmanuelkipyator/house-prices-advanced-regression-techniques", "kernel_id": "71676211"}, {"ref": "stanleyibeabuchiarua/comprehensive-data-exploration-with-python", "kernel_id": "71198529"}, {"ref": "layalalhaif/home-price", "kernel_id": "71121953"}, {"ref": "dillondalton15/housing-prices", "kernel_id": "71433917"}, {"ref": "darkdartcarrot/houseprice", "kernel_id": "71334594"}, {"ref": "tulsi6789/predicting-house-prices-using-stacking", "kernel_id": "71108261"}, {"ref": "yaminiadusumalli/capstone", "kernel_id": "71123924"}, {"ref": "hermawansatriaj/housepricekesekiankali", "kernel_id": "71473045"}, {"ref": "tanaskovoleksandr/house-prices-advanced-regression-technique", "kernel_id": "71322126"}, {"ref": "layalahmedalhaif/home-prices", "kernel_id": "71498773"}, {"ref": "edensaadon/edensadon-omrirotr-exe1ml", "kernel_id": "71772411"}, {"ref": "sanghmitradolas/house-price-2", "kernel_id": "71819480"}, {"ref": "bellalbert/linear-regression", "kernel_id": "71886572"}, {"ref": "owengrant19940123/house-prices-prediction-using-tfdf", "kernel_id": "71877273"}, {"ref": "twchyin/lasso-gridsearch", "kernel_id": "72506709"}, {"ref": "funxexcel/house-prices-categorical", "kernel_id": "72366925"}, {"ref": "mbdutt/house-prices-xgboost-regression", "kernel_id": "72276378"}, {"ref": "murtadhayaseen/house-prices-4cb96f", "kernel_id": "72488210"}, {"ref": "axeldawne/housing-dataset", "kernel_id": "72389299"}, {"ref": "graystar/house-prices-prediction-using-tfdf", "kernel_id": "72563962"}, {"ref": "emanafi/house-prices-competition", "kernel_id": "72034459"}, {"ref": "kianayose/house-prices-prediction-boosting-mlp", "kernel_id": "72338086"}, {"ref": "hydarhafiz/handling-outlier-guideline", "kernel_id": "72919268"}, {"ref": "hydarhafiz/handle-missing-data-guidelines", "kernel_id": "72821733"}, {"ref": "salavatfatyhov/prices", "kernel_id": "72689506"}, {"ref": "safiraaaa/team3-notebook", "kernel_id": "72390742"}, {"ref": "nadhif2104/regresi-kelompok-2", "kernel_id": "72126663"}, {"ref": "amirrizki/regresi-kelompok-2", "kernel_id": "72253049"}, {"ref": "keladya/team1-dmbiui24", "kernel_id": "72393183"}, {"ref": "najwaputrif/advanced-regression-techniques", "kernel_id": "72358980"}, {"ref": "renykhan/boosters-unleashed-score-0-12436", "kernel_id": "72693158"}, {"ref": "riddyrama/tugas-besar-analitika-data", "kernel_id": "72479342"}, {"ref": "shubhanshunavadiya/advance-house-price-prediction", "kernel_id": "72262337"}, {"ref": "hutariandn/kelompok-5-dmbiui-study-case-5", "kernel_id": "72403941"}, {"ref": "kovalenkovitaliy/house-prices-randomforest-and-xgboost", "kernel_id": "72263378"}, {"ref": "nadirae25/kelompok-9-regresi", "kernel_id": "72386622"}, {"ref": "aulagnier/prediction-real-estate-advancedregression", "kernel_id": "72464905"}, {"ref": "victoriamiteva/notebooke92b3bfac6", "kernel_id": "72079552"}, {"ref": "talaridatta/house-price-prediction", "kernel_id": "72930696"}, {"ref": "eekkiinn/house-price-predict-with-xgboost", "kernel_id": "72975243"}, {"ref": "ahmedessamshadeed/house-prices-regression", "kernel_id": "72052533"}, {"ref": "krishchaudhary14/house-prices-prediction", "kernel_id": "72108751"}, {"ref": "hongernchew/house-prices-advanced-regression-techniques", "kernel_id": "72022819"}, {"ref": "denkuznetz/house-prices-kruskal-wallis-test-med-by-neighbor", "kernel_id": "72038069"}, {"ref": "fatmanurefsanates/house-prices-random-forest", "kernel_id": "72722734"}, {"ref": "ahmed3laa27/medhat", "kernel_id": "72651190"}, {"ref": "diegocarneiro/house-price", "kernel_id": "72571038"}, {"ref": "sinyeesim/1-housing-price-prediction-regression-v3", "kernel_id": "72956159"}, {"ref": "berkeee/submission", "kernel_id": "72266407"}, {"ref": "diegolus/house-prices-prediction-regress-o-avan-ada", "kernel_id": "72655012"}, {"ref": "saddasdaasda/r2-0-906-xgboost-i-do-many-feature-engineerings", "kernel_id": "72380281"}, {"ref": "hirokinoda/house-prices-xgbregressor-xgbregressor", "kernel_id": "72946766"}, {"ref": "amirashhf/team8-dmbiui24-study-case-regresi", "kernel_id": "72395965"}, {"ref": "srichakradevarakonda/hpp-v1", "kernel_id": "72486928"}, {"ref": "xmayoi/house-price-predict-final-version", "kernel_id": "72964349"}, {"ref": "amnamahboob123/231997-house-price-advanced-regression", "kernel_id": "72291931"}, {"ref": "irsyadkhairi/prediksi-harga-rumah-menggunakan-tensorflow-decisi", "kernel_id": "72544237"}, {"ref": "arefehsjd/lasso-xgboost", "kernel_id": "72081624"}, {"ref": "yudezhun/thelastversionfangjia", "kernel_id": "72395473"}, {"ref": "seinkage/notebook6a15176363", "kernel_id": "72314673"}, {"ref": "seinkage/notebook3d312822be", "kernel_id": "72704978"}, {"ref": "galette/notebookea6000073e", "kernel_id": "72856498"}, {"ref": "ilanar/house-price-prediction", "kernel_id": "72826758"}, {"ref": "alvenxiao/house-prices-advanced-regression-competition", "kernel_id": "72936232"}, {"ref": "ramiabdullah/12-house-price-prediction-ann", "kernel_id": "72908673"}, {"ref": "ferasalshash/house-prices-prediction-using-ann", "kernel_id": "72527055"}, {"ref": "brianvilnrotter/house-prices-advanced-regression-techniques", "kernel_id": "72211422"}, {"ref": "sanro333/fangjiabaogao", "kernel_id": "72482798"}, {"ref": "felipeortizz22/house-prices-xgboostgridsearch", "kernel_id": "72287451"}, {"ref": "ghanashyam1/house-price-prediction-using-linear-regression", "kernel_id": "72402870"}, {"ref": "ghanashyam1/predict-house-prices-ml", "kernel_id": "72401725"}, {"ref": "daddy0069/house-prices-prediction-advanced-regression-tech", "kernel_id": "72524810"}, {"ref": "ashishramsurrun/ashish-ml-rai-7002", "kernel_id": "72013043"}, {"ref": "elraky/notebookeb0d886776", "kernel_id": "72770766"}, {"ref": "erimsaholut/mycode-house-prices", "kernel_id": "72834375"}, {"ref": "hero777x/housing-price-prediction-problem", "kernel_id": "72168835"}, {"ref": "zhengchuang/house-price-forecasts", "kernel_id": "72254532"}, {"ref": "hindmazin/house-prices", "kernel_id": "72274676"}, {"ref": "quezaltendes/notebook1452321834", "kernel_id": "72019361"}, {"ref": "tomernatan/newwwww", "kernel_id": "72165972"}, {"ref": "andreimurgulet/knn-test2", "kernel_id": "72653476"}, {"ref": "edensaadon/edensadon-omrirotr-exe1ml-final", "kernel_id": "72518235"}, {"ref": "bellalbert/logistic-regression", "kernel_id": "72229823"}, {"ref": "hanzeruiooo/house-price-regression", "kernel_id": "72078675"}, {"ref": "adivered/submission-4", "kernel_id": "72232476"}, {"ref": "hunghungsss/inh-kh-nh", "kernel_id": "72678635"}, {"ref": "mohamedredaswe/house-prices-prediction-using-tfdf", "kernel_id": "72103576"}, {"ref": "mahmoud9384302/house-prices-prediction-using-tfdf", "kernel_id": "72103648"}, {"ref": "tomerharel/assignment4", "kernel_id": "72565891"}, {"ref": "tomerharel/notebook0d703fec9f", "kernel_id": "72707003"}, {"ref": "idoeng/houseprices", "kernel_id": "72613616"}, {"ref": "idoeng/housepricesfinal", "kernel_id": "72783963"}, {"ref": "idoshimelmitz/ido-and-ran", "kernel_id": "72774080"}, {"ref": "harelnagar/house-prices-linear-regression", "kernel_id": "72255180"}, {"ref": "hubertthehaubegrecki/comprehensive-data-exploration-with-python", "kernel_id": "72255455"}, {"ref": "jarosawkuma/comprehensive-data-exploration-with-python", "kernel_id": "72255566"}, {"ref": "mine18/harga-rumah-menggunakan-prediksi-tfdf", "kernel_id": "72287928"}, {"ref": "claniel/houseprice-for-dm-final", "kernel_id": "72434214"}, {"ref": "yuvaldavidovits/yuvaldyuvalghandin1-44b7b4", "kernel_id": "72777590"}, {"ref": "suhasthoke/house-price-prediction", "kernel_id": "72542065"}, {"ref": "hanarohadianita/house-prices-prediction-advanced-regression-tech", "kernel_id": "72558827"}, {"ref": "yahavbbbb/note-house", "kernel_id": "72864077"}, {"ref": "aryanshvasu/notebook739c0dfcac", "kernel_id": "72865812"}, {"ref": "ibrahimelsayed22/house-price-prediction-regression-models-and-dl", "kernel_id": "72995055"}, {"ref": "ibrahimelsayed22/87-accuracy-ensemble-model-house-price-prediction", "kernel_id": "72993368"}, {"ref": "ibrahimelsayed22/house-prices-advanced-models-top-1-lgbm-regressor", "kernel_id": "72993471"}, {"ref": "jonofkennedy/kaggle-housing-coba-1", "kernel_id": "72959689"}, {"ref": "azzouzmezlini/house-prices-eda", "kernel_id": "73853740"}, {"ref": "abhivij/housing-price-prediction", "kernel_id": "73766343"}, {"ref": "abhivij/housing-price-prediction-part-2-exploratory", "kernel_id": "73946131"}, {"ref": "dalabis/house-prices-eda", "kernel_id": "73414499"}, {"ref": "aslantetik/house-price-prediction", "kernel_id": "73390361"}, {"ref": "tkoyama010/notebookdb04ca57e5", "kernel_id": "73846582"}, {"ref": "osmanacar/house-price-prediction-xgboost", "kernel_id": "73623891"}, {"ref": "gramyagupta/houseprice", "kernel_id": "73353371"}, {"ref": "samithsachidanandan/house-prices-regression", "kernel_id": "73519629"}, {"ref": "azizturkmani1/notebook3731fe26a7", "kernel_id": "73768429"}, {"ref": "matthuan/house-prices-advanced-regression-techniques", "kernel_id": "73926524"}, {"ref": "andhikakukuh/pekerjaan-house-salesprice", "kernel_id": "73534475"}, {"ref": "parvathikumarapuri/house-price-prediction-using-ml-techniques", "kernel_id": "73173008"}, {"ref": "lainguyn123/house-prices-predictions", "kernel_id": "73747571"}, {"ref": "souhillamarzouk/house-price", "kernel_id": "73100629"}, {"ref": "vigneshwaransundar/house-prices-advanced-regression-techniques", "kernel_id": "73875178"}, {"ref": "javithj/house-price-eda-prediction", "kernel_id": "73431544"}, {"ref": "chizhauhan/ncl-regression", "kernel_id": "73326313"}, {"ref": "abhishek725kumar/house-price", "kernel_id": "73413825"}, {"ref": "danielmonteirogallo/radial-basis-function-house-pricing", "kernel_id": "73781289"}, {"ref": "sakshamchhatkuli/house-price-prediction", "kernel_id": "73004836"}, {"ref": "karweii/house-price-prediction", "kernel_id": "73749191"}, {"ref": "burakbuyuk/home-prices-prediction", "kernel_id": "73611584"}, {"ref": "jameslee01/house-prices-advanced-regression-techniques", "kernel_id": "73940807"}, {"ref": "sheshikumar/house-prediction-using-deeplearning", "kernel_id": "73076718"}, {"ref": "anthonyadungo/house-prices-prediction", "kernel_id": "73988932"}, {"ref": "aaliaadarvesh/house-price-prediction-using-rf-dt-xgboost", "kernel_id": "73802489"}, {"ref": "nisschaykhandelwal/housing-price", "kernel_id": "73369074"}, {"ref": "masanoo/house-prices-advanced-regression-techniques2", "kernel_id": "73071471"}, {"ref": "mirkocaroleo/house-prices-advanced-regression-techniques-2nd", "kernel_id": "73958212"}, {"ref": "schran/housing-price-prediction", "kernel_id": "73669966"}, {"ref": "icofield/house-prices-prediction-with-pytorch", "kernel_id": "73483846"}, {"ref": "realsonythomas/linear-regression-in-one-variable", "kernel_id": "73301890"}, {"ref": "tark01/house-price-predictions", "kernel_id": "73546099"}, {"ref": "myusage16/house-prices-prediction-with-xgboost-randomforest", "kernel_id": "73892038"}, {"ref": "m65673kc/house-prices", "kernel_id": "73359755"}, {"ref": "sakibulhasan2004043/house-price-predictor", "kernel_id": "73858109"}, {"ref": "elasgustavoknaus/practical-oop-with-python-for-starters", "kernel_id": "73648796"}, {"ref": "elasgustavoknaus/poo-pr-ctico-con-python-para-principiante-espa-ol", "kernel_id": "73647433"}, {"ref": "zionblaze/notebookfa85494685", "kernel_id": "73130479"}, {"ref": "zionblaze/notebook3e51665bc5", "kernel_id": "73122066"}, {"ref": "alicanpayasli01/houseprice-featureselection-and-ann-model", "kernel_id": "73623887"}, {"ref": "mrchen66/my-first-competition-house-price-prediction", "kernel_id": "73193880"}, {"ref": "mohammadarjomand/house-prices-prediction-regression-techniques", "kernel_id": "73644465"}, {"ref": "carlotadelavega/casas-adineradas", "kernel_id": "73434245"}, {"ref": "m3rrymaker/datam", "kernel_id": "73503686"}, {"ref": "mindyscharpf/housebook", "kernel_id": "73487109"}, {"ref": "nopponchinatiworn/house-prices-prediction-tfdf-cross-validation", "kernel_id": "73135966"}, {"ref": "fangzhiyan/yf2-s-notebook", "kernel_id": "73385107"}, {"ref": "limo384712/limo-s-notebook", "kernel_id": "73151126"}, {"ref": "xiufugu/notebook1", "kernel_id": "73581333"}, {"ref": "yuantanglun/finalwork", "kernel_id": "73212964"}, {"ref": "claviays/dataminingwork", "kernel_id": "73033164"}, {"ref": "zhuiaaa/jr-predict", "kernel_id": "73747052"}, {"ref": "atlanticsmermaid/notebook86c12e0d0c", "kernel_id": "73412438"}, {"ref": "lanshanwang/house-prices", "kernel_id": "73353290"}, {"ref": "carlenda/try-for-myself", "kernel_id": "73397922"}, {"ref": "genyou/housingpricesattempt", "kernel_id": "73203982"}, {"ref": "jennychiuccc/house-price-final-project", "kernel_id": "73122847"}, {"ref": "jonasexcepy/fork-v3-6-2385b9", "kernel_id": "73298192"}, {"ref": "isgrachev/hw2-dldt-grachev", "kernel_id": "73054461"}, {"ref": "seulxy/houseprice", "kernel_id": "73988640"}, {"ref": "briancuffel/tidymodel-predictions-with-lm-and-xgboost", "kernel_id": "73231233"}, {"ref": "brandonlyons888/advanced-regression-notebook-housing-prices", "kernel_id": "73549534"}, {"ref": "yoloshang/house-prices-prediction-using-tfdf", "kernel_id": "73266747"}, {"ref": "yanglianrun/kechengsheji", "kernel_id": "73056616"}, {"ref": "yanglianrun/house-prices-prediction-using-tfdf", "kernel_id": "73057143"}, {"ref": "yanglianrun/house-price-prediction-ann", "kernel_id": "73070041"}, {"ref": "yanglianrun/33334444", "kernel_id": "73071771"}, {"ref": "yanglianrun/hexie12345678", "kernel_id": "73236894"}, {"ref": "yanglianrun/12-18xin", "kernel_id": "73178422"}, {"ref": "liujiaying123/hexie1234", "kernel_id": "73189530"}, {"ref": "liujiaying123/hexie1234567", "kernel_id": "73299113"}, {"ref": "liujiaying123/fangjiayuce1", "kernel_id": "73118394"}, {"ref": "liuxincc/hexie12345", "kernel_id": "73193790"}, {"ref": "alimovaa/house-prices-linear-regression", "kernel_id": "73853617"}, {"ref": "mahendraade/house-price-prediction", "kernel_id": "73487763"}, {"ref": "vlaveris/house-prices", "kernel_id": "73914934"}, {"ref": "zhchll/train-single", "kernel_id": "73424643"}, {"ref": "zhchll/group", "kernel_id": "73417998"}, {"ref": "saulstavo/predicting-house-prices-using-stacking", "kernel_id": "73409306"}, {"ref": "hibiki44da/notebook8221798dc6", "kernel_id": "73469220"}, {"ref": "lsh0313/house-prices", "kernel_id": "73082774"}, {"ref": "renwujia/notebook6a43bff025", "kernel_id": "73414055"}, {"ref": "zhengxuanlian/house-price-lian", "kernel_id": "73026204"}, {"ref": "lvivienne/notebooklvivineen", "kernel_id": "73211083"}, {"ref": "zhihang2022/house-price-bnu-zhihang", "kernel_id": "73368400"}, {"ref": "jstttt/house-price", "kernel_id": "73422854"}, {"ref": "pascuafluaitt/notebookd7da5eb696", "kernel_id": "73402177"}, {"ref": "rishiiiiii0099/house-price-prediction-this-is-my-first-project", "kernel_id": "73339263"}, {"ref": "yuichitomita/house-prices", "kernel_id": "73469930"}, {"ref": "saipraneethkommu/house-prices-advanced-regression-techniques", "kernel_id": "73002331"}, {"ref": "redfishaa/housepricer", "kernel_id": "73079608"}, {"ref": "yuliantow/house-price-with-xgbregressor", "kernel_id": "73457445"}, {"ref": "kwokyihan/house-prices-notebookkyh", "kernel_id": "73351556"}, {"ref": "thelier/stacked-regressions", "kernel_id": "73411366"}, {"ref": "jashandasaprakash/house-sale-price-prediction", "kernel_id": "73425860"}, {"ref": "jkxbnu/bnu-datamining-11", "kernel_id": "73455450"}, {"ref": "anatolykarpol/real-estate-predictions", "kernel_id": "73982974"}, {"ref": "abhivij/housing-price-prediction-part-2", "kernel_id": "74383855"}, {"ref": "mohamadsager/house-prices-advanced-xgboost", "kernel_id": "74061959"}, {"ref": "abubakerm/house-prices-prediction-using-xgboost", "kernel_id": "74018713"}, {"ref": "debobratadutta/house-price-prediction", "kernel_id": "74425226"}, {"ref": "abdullahbakr/house-prices-advanced-regression-techniques-02", "kernel_id": "74083755"}, {"ref": "matthuan/house-prices-ensembling-vs-ydf-models", "kernel_id": "74123107"}, {"ref": "fizamal/practical-introduction-to-10-regression-algorithm", "kernel_id": "74521566"}, {"ref": "rlakshminarayanan/eda-house-prices-advanced-regression-techniques", "kernel_id": "74164694"}, {"ref": "ordinaryclown/enet-gboost-krr-lasso-svr-ridge-krr", "kernel_id": "74187087"}, {"ref": "mztn1111/dataming-hw", "kernel_id": "74108381"}, {"ref": "yadidiahk/housepriceprediction", "kernel_id": "74591523"}, {"ref": "lyhatt/house-price-prediction", "kernel_id": "74009954"}, {"ref": "eli2022/house-prices-prediction", "kernel_id": "74440788"}, {"ref": "manaswinimishra/house-prices-prediction-random-forest-model", "kernel_id": "74296558"}, {"ref": "danielvasilevko22/house-prices-advanced-regression-techniques", "kernel_id": "74715607"}, {"ref": "yiweili2001/msds-422-week1-as", "kernel_id": "74348773"}, {"ref": "geyuyao/house-prices-prediction-1b0b84", "kernel_id": "74457401"}, {"ref": "stavanjinturkar/notebook327ca51638", "kernel_id": "74264493"}, {"ref": "linlinwm/house-prices", "kernel_id": "74135396"}, {"ref": "khairnaratharva/accuracy-more-than-88", "kernel_id": "74329016"}, {"ref": "glukosa/housing-prices-1st-kaggle-project", "kernel_id": "74719981"}, {"ref": "fawadalishaikh/house-price-prediction-using-ml-models", "kernel_id": "74828293"}, {"ref": "minhhhvu/datamining", "kernel_id": "74088382"}, {"ref": "minhhhvu/house-prices-prediction-using-tfdf", "kernel_id": "74088325"}, {"ref": "atefemahdaviadel/house-prices-advanced-regression-techniques", "kernel_id": "74286741"}, {"ref": "milkbreadg/notebookce55508487", "kernel_id": "74665817"}, {"ref": "annedabuyan/house-prices-ml-a2", "kernel_id": "74919306"}, {"ref": "samikhan25/house-price-prediction-xgboost", "kernel_id": "74032456"}, {"ref": "anacpricciardi/eda-insights", "kernel_id": "74878683"}, {"ref": "rishavrajverma/house-price", "kernel_id": "74300437"}, {"ref": "shyamganeshn/house-price-prediction", "kernel_id": "74159247"}, {"ref": "simratk/simrat-house-price-prediction", "kernel_id": "74508001"}, {"ref": "abubakrahmedosman/top-g", "kernel_id": "74199876"}, {"ref": "deephabiswashi2000/price-predictor-cracking-the-house-market", "kernel_id": "74962250"}, {"ref": "snonvn/house-prices", "kernel_id": "74814518"}, {"ref": "alimuratsargl/house-price-prediction-with-regression-models", "kernel_id": "74173178"}, {"ref": "muhammadnajeebhaider/house-prices-advanced-regression-by-najeeb", "kernel_id": "74593199"}, {"ref": "hybridedits/house-price-prediction-xg-boost", "kernel_id": "74902580"}, {"ref": "thomaspierantozzi/exploratorydataanalysis-and-features-clustering", "kernel_id": "74438887"}, {"ref": "thomaspierantozzi/pca-reduction-stackingregressor-0-11-and-lower", "kernel_id": "74464244"}, {"ref": "baddu01/house-price-prediction-regression", "kernel_id": "74993492"}, {"ref": "brahimztrk15/notebook1953518b56", "kernel_id": "74226285"}, {"ref": "brahimztrk15/house-prices-score-of-0-16764", "kernel_id": "74361498"}, {"ref": "mdzunayed02/house-prices-advanced-regression-techniques1", "kernel_id": "74235399"}, {"ref": "armaanpreet123/notebook520a4bfdf1", "kernel_id": "74962012"}, {"ref": "rgontijof/house-price-prediction", "kernel_id": "74061798"}, {"ref": "yunjun0914/house-prices-regression-with-tensorflow", "kernel_id": "74370063"}, {"ref": "amitbarkama/random-forest-regressor-xgbregressor-xgboost", "kernel_id": "74848392"}, {"ref": "soultanyousif/house-prices-competition", "kernel_id": "74168346"}, {"ref": "nizpew/house-prices-basic-regression-model-with-pipeline", "kernel_id": "74159195"}, {"ref": "shanushah14/house-price-prediction-using-regression-technique", "kernel_id": "74854155"}, {"ref": "jakarin1229/notebookdeeeec7e53", "kernel_id": "74262780"}, {"ref": "linxooln/house-prediction-with-visualisation", "kernel_id": "74055991"}, {"ref": "alekhtripathi/house-prediction", "kernel_id": "74012198"}, {"ref": "account4leakeddata/dataminingreport-leakeddata", "kernel_id": "74202144"}, {"ref": "account4project/dataminingreport", "kernel_id": "74202851"}, {"ref": "kevinlyc9/house-prices", "kernel_id": "74489814"}, {"ref": "kevinlyc9/house-prices-regression", "kernel_id": "74868209"}, {"ref": "stjjjjjj/houseprice", "kernel_id": "74292622"}, {"ref": "xuhuiishi/module-1-assignment-1-house-prices-advanced-regr", "kernel_id": "74300393"}, {"ref": "shitongliu2/notebookca243271b4", "kernel_id": "74502359"}, {"ref": "oleksandryeroshenko/3-regularization-and-gradient-descent", "kernel_id": "74595901"}, {"ref": "minhhoangchau/housepredickk", "kernel_id": "74863566"}, {"ref": "adam1f/house-price-prediction-xgboostnrndmforest", "kernel_id": "74903906"}, {"ref": "stephan8/house-prices-prediction", "kernel_id": "75960419"}, {"ref": "kamsmile/house-price-prediction-and-eda", "kernel_id": "75786261"}, {"ref": "ml210slg/house-prices-slg", "kernel_id": "75325370"}, {"ref": "sergioiglesias/house-price-prediction-advanced-regression", "kernel_id": "75948679"}, {"ref": "csmohamedayman/eda-tab-mercari-price-suggestion-challenge", "kernel_id": "75996843"}, {"ref": "csmohamedayman/eda-tab-house-prices-regression-techniques", "kernel_id": "75991240"}, {"ref": "darshikaverma/exploratory-data-analysis-eda", "kernel_id": "75225739"}, {"ref": "dmytrotymoshenko/house-prices-xgboost", "kernel_id": "75980961"}, {"ref": "dmytrotymoshenko/ames-xgboost-elasticnet-bagging-randomforrest", "kernel_id": "75973232"}, {"ref": "maxzabara/house-price-prediction-using-tree-based-models", "kernel_id": "75476897"}, {"ref": "vincentpereira/using-categorical-data-with-one-hot-encoding", "kernel_id": "75432722"}, {"ref": "asifsaad/ail-part-2", "kernel_id": "75782018"}, {"ref": "mathieuduverne/housing-prices-competition", "kernel_id": "75629671"}, {"ref": "kumarishivangi/house-prices-prediction-regression-techniques", "kernel_id": "75147144"}, {"ref": "thaolthc/notebook6a0b82eb8f", "kernel_id": "75079987"}, {"ref": "kamaljit/house-price-prediction-competition", "kernel_id": "75143235"}, {"ref": "oliverchamberlain/2nd-submission-house-price-predictions", "kernel_id": "75780949"}, {"ref": "oliverchamberlain/house-price-prediction", "kernel_id": "75780148"}, {"ref": "oliverchamberlain/3rd-sun-housing-price-prediction", "kernel_id": "75781405"}, {"ref": "oliverchamberlain/4th-submission-house-price-prediction", "kernel_id": "75781775"}, {"ref": "oliverchamberlain/price-house-predictions-6th-attempt", "kernel_id": "75817419"}, {"ref": "oliverchamberlain/house-price-predictions-5th-submission", "kernel_id": "75816600"}, {"ref": "harshchitaliya/first-place-top-1-with-leakage", "kernel_id": "75850161"}, {"ref": "snehalkhandewale/housing-price", "kernel_id": "75856926"}, {"ref": "taavikalaluka/house-prices-advanced-eda-catboost-top-11", "kernel_id": "75615018"}, {"ref": "saarbu/house-prices", "kernel_id": "75186396"}, {"ref": "iggy770/hillel-hw-5", "kernel_id": "75818372"}, {"ref": "abbastalebi/house-price-prediction-and-eda", "kernel_id": "75486286"}, {"ref": "michaelpjankov/etu-dd-house-prices", "kernel_id": "75756061"}, {"ref": "somaia03/house-price-prediction", "kernel_id": "75299213"}, {"ref": "rayanebouftini/housing-prices", "kernel_id": "75613536"}, {"ref": "huynhdoanhoangminh/house-price-advanced-predict", "kernel_id": "75568961"}, {"ref": "kazloo/house-price-prediction", "kernel_id": "75471391"}, {"ref": "yanplayz08/house-price-prediction", "kernel_id": "75418447"}, {"ref": "raghadahmed195/advanced-house-price-eda", "kernel_id": "75857764"}, {"ref": "deepanshujoshi3012/onehot-and-catboost", "kernel_id": "75235398"}, {"ref": "mariiakhlystiuk/notebook711595ade8", "kernel_id": "75121293"}, {"ref": "abdallahhelal/house-price-predication", "kernel_id": "75399781"}, {"ref": "mariajosealmeyda/optimizing-regression-models-preventing-overfitt", "kernel_id": "75025048"}, {"ref": "nazimt/notebook066c2d1060", "kernel_id": "75802657"}, {"ref": "aliazimieco/house-prices-advanced-regression-techniques", "kernel_id": "75439490"}, {"ref": "aliffaagnur/house-price-prediction-with-eda", "kernel_id": "75471035"}, {"ref": "adityasingh01676/house-price-prediction-adv-regression-technique", "kernel_id": "75549902"}, {"ref": "aniruddhmubayi/notebook742be39c69", "kernel_id": "75908640"}, {"ref": "yogeshpatil2504/house-price-prediction-ensemble-technique-simple", "kernel_id": "75024291"}, {"ref": "tph057/house-prices-prediction-random-forest-regressor", "kernel_id": "75333240"}, {"ref": "khinthant/comprehensive-data-exploration", "kernel_id": "75107391"}, {"ref": "fatihyavuzz/house-price-prediction-advanced-regression", "kernel_id": "75924566"}, {"ref": "nirajrathore/notebookee4533850e", "kernel_id": "75204195"}, {"ref": "qwer304/25a4041861-nguyenthidieulinh", "kernel_id": "75197442"}, {"ref": "nmk0509/baitaptuan2", "kernel_id": "75904493"}, {"ref": "mohammedbabikir/house-price-competition", "kernel_id": "75458094"}, {"ref": "thomaspierantozzi/pca-and-neuralnetwork-top22", "kernel_id": "75005580"}, {"ref": "vannghianguyen/house-price-predict", "kernel_id": "75172361"}, {"ref": "akashravijaisinghani/ames-house-price-prediction", "kernel_id": "75038282"}, {"ref": "rituki/model-ensemble-learning-for-house-price-pr", "kernel_id": "75691844"}, {"ref": "szymonkarbowski/final-house-prices", "kernel_id": "75450533"}, {"ref": "sanghoonleehuey/linearregression-nnm-house-prices-advanced-regress", "kernel_id": "75839819"}, {"ref": "hardikharsh/housing-prices-advanced", "kernel_id": "75803910"}, {"ref": "dutta594/house-pricing", "kernel_id": "75087007"}, {"ref": "taljorno/notebook4e495099e5", "kernel_id": "75344852"}, {"ref": "niklaswbkr/house-price-prediction", "kernel_id": "75200249"}, {"ref": "amitbarkama/ml-part4", "kernel_id": "75204424"}, {"ref": "shaygelbart/house-price-prediction", "kernel_id": "75251165"}, {"ref": "narayanashish/house-prices-prediction-using-tfdf", "kernel_id": "75925860"}, {"ref": "ismaildikmen/house-prices-advanced-regression-techniques", "kernel_id": "75341690"}, {"ref": "huyleduc121/baitap-buoi2", "kernel_id": "75282513"}, {"ref": "phuk25/notebookc9e77e2703", "kernel_id": "75862969"}, {"ref": "duowg29/notebookcf424838c7", "kernel_id": "75406246"}, {"ref": "yahavbbbb/house-prices-models", "kernel_id": "75760996"}, {"ref": "phucddo/notebooka2c118d1d2", "kernel_id": "75837021"}, {"ref": "ozanbozyel/prediction-with-8-regressors", "kernel_id": "75874906"}, {"ref": "mehtesham/house-price-prediction-linear-regression", "kernel_id": "75950189"}, {"ref": "tathihoa/btvn2", "kernel_id": "75573297"}, {"ref": "mykhailokholodov/hw-5-hillel-2025", "kernel_id": "75902174"}, {"ref": "danilkocheshvili/housepricing", "kernel_id": "75862808"}, {"ref": "abdul112234/notebooka0af0bf278", "kernel_id": "75913451"}, {"ref": "sohyunwriter/codingtest-study-04-basic-eda", "kernel_id": "76761892"}, {"ref": "mehreenmubashar/mid-term-project-part-2-attempt-4", "kernel_id": "76985938"}, {"ref": "mirzamilanfarabi/house-prices-algorithm-optuna-v1-0", "kernel_id": "76691676"}, {"ref": "ycslab/housing-price-eda", "kernel_id": "76874692"}, {"ref": "hatakekakshi/notebookc2d83f9f02", "kernel_id": "76576295"}, {"ref": "masayakawamata/lightgbm-starter-in-japanese", "kernel_id": "76222034"}, {"ref": "masayakawamata/target-encoding-concept-practical-implementation", "kernel_id": "76579018"}, {"ref": "abhinav1524/house-price-predication", "kernel_id": "76818307"}, {"ref": "ymkhasim/khas-1", "kernel_id": "76457363"}, {"ref": "aiham04/notebook55ce2c8ed8", "kernel_id": "76175984"}, {"ref": "surawutkittikaiwan/neural-network-model-for-house-prices-pytorch", "kernel_id": "76230050"}, {"ref": "eliasproger/house-prices-experiments", "kernel_id": "76793953"}, {"ref": "eeisler/linearregressionexam", "kernel_id": "76330549"}, {"ref": "aradhanahirapara/eda-and-algo-analysis", "kernel_id": "76185925"}, {"ref": "noranali88/house-prices-predictions", "kernel_id": "76033621"}, {"ref": "hibounashi/feature-engineering-for-house-prices", "kernel_id": "76788635"}, {"ref": "faoziafariha/housepriceprediction", "kernel_id": "76680298"}, {"ref": "alistergan/housing-price-prediction", "kernel_id": "76663652"}, {"ref": "cloudysix/regularized-linear-models", "kernel_id": "76172066"}, {"ref": "dongwookkho/lab3-dongwookkho-dk33264", "kernel_id": "76208192"}, {"ref": "abdelrhmanahmedezzat/house-prices-code-eda", "kernel_id": "76993382"}, {"ref": "omprajapati115/advandce-regression-notebook", "kernel_id": "76553609"}, {"ref": "nsr3110/house-price-prediction-91-r2-score", "kernel_id": "76977862"}, {"ref": "jasonmelvinhartono/houseprice-linearreg-with-hyptunning", "kernel_id": "76820872"}, {"ref": "nguyenlyly/house-price2", "kernel_id": "76922910"}, {"ref": "lmcthnh/predict-price-houses", "kernel_id": "76288032"}, {"ref": "aadarshvani/house-price-prediction", "kernel_id": "76785366"}, {"ref": "raeedalsabri/house-prices-210088840-raeed-alsabri", "kernel_id": "76865311"}, {"ref": "raeedalsabri/mid-term-exam-part3", "kernel_id": "76989225"}, {"ref": "iatuls/advanced-regression", "kernel_id": "76461994"}, {"ref": "devaanshdubey/97-2-r2score-house-price-prediction", "kernel_id": "76964030"}, {"ref": "youssefladeb/notebookfa8209343f", "kernel_id": "76936535"}, {"ref": "gowdadarshan/housing-price-prediction", "kernel_id": "76905924"}, {"ref": "harshagrawal2404/house-price-prediction-using-advance-regression", "kernel_id": "76767683"}, {"ref": "quanlene/the-first-lesson", "kernel_id": "76345379"}, {"ref": "dclarke/housing-prediction", "kernel_id": "76546445"}, {"ref": "dinhthithuhoaihvnh/ai-bu-i-2", "kernel_id": "76316519"}, {"ref": "lequan7898/houseprices", "kernel_id": "76536091"}, {"ref": "trangbithu/house-prediction", "kernel_id": "76452353"}, {"ref": "rsbit30/house-price-prediction", "kernel_id": "76438513"}, {"ref": "ar33ba/midterm-pt2", "kernel_id": "76898181"}, {"ref": "asmarida/notebook448fdc36b9", "kernel_id": "76917588"}, {"ref": "hindabdalla/initial-modeling", "kernel_id": "76716825"}, {"ref": "alialdhubri/house-prices-prediction-using-tfdf", "kernel_id": "76867832"}, {"ref": "haiennf/notebook61a786241d", "kernel_id": "76358082"}, {"ref": "tienanh2201/house-prices", "kernel_id": "76987133"}, {"ref": "muhammadhanzlatahir/midterm-project-part-1-visual-analytics-final", "kernel_id": "76459732"}, {"ref": "muhammadhanzlatahir/midterm-project-part-2-initial-modeling", "kernel_id": "76905680"}, {"ref": "kcro42/notebooke36b7e455c", "kernel_id": "76814722"}, {"ref": "neilhollenbeck/neil-regularized-linear-models", "kernel_id": "76321292"}, {"ref": "thngphm2510/notebook3567eb8704", "kernel_id": "76924356"}, {"ref": "thuthom/house-prices-prediction", "kernel_id": "76312128"}, {"ref": "nhna06nguynkhc/du-doan-gia-nha", "kernel_id": "76443084"}, {"ref": "drkokaine/house-prices-prediction", "kernel_id": "76326960"}, {"ref": "shivamphugat/housing-prices-advance-regression", "kernel_id": "76970777"}, {"ref": "rayvelg/house-prices-linear-regression", "kernel_id": "76817663"}, {"ref": "mihquan/notebooka45fde65f5", "kernel_id": "76537381"}, {"ref": "luunhapnha/buon-ban-nha-dat", "kernel_id": "76442220"}, {"ref": "haminhh/house-price1216", "kernel_id": "76565499"}, {"ref": "idoeng/assignment4", "kernel_id": "76079456"}, {"ref": "quocbui2k4/du-doan-gia-nha", "kernel_id": "76002497"}, {"ref": "manhdayne/25a4041895", "kernel_id": "76911119"}, {"ref": "thamnguyen2412/notebooke2b49a265b", "kernel_id": "76213968"}, {"ref": "thagnguynvn/nguyenvanthang", "kernel_id": "76351897"}, {"ref": "khaloodsami/notebook97cc64a603", "kernel_id": "76779985"}, {"ref": "ptminhhh/ptmai", "kernel_id": "76381000"}, {"ref": "michmach/advanced-regression-techniques", "kernel_id": "76954305"}, {"ref": "janemorgan/assignment-1", "kernel_id": "76404366"}, {"ref": "milesjew/project-001", "kernel_id": "76617656"}, {"ref": "nataliemathers/notebook5a11db7a11", "kernel_id": "76477479"}, {"ref": "nefelibatabigr/house-pred-2-cn", "kernel_id": "76656234"}, {"ref": "alifeci/house-prizes-advenced-afe", "kernel_id": "76799682"}, {"ref": "flatchapedweasel/btvn-tu-n-4", "kernel_id": "76784253"}, {"ref": "wirotnalaead/eda-and-prediction-of-house-price", "kernel_id": "76677286"}, {"ref": "naveen0690/notebook6612947d42", "kernel_id": "76931257"}, {"ref": "soyawehrenberg/lab-3-ai2010x", "kernel_id": "76922849"}, {"ref": "kumararin01/arin2", "kernel_id": "76956197"}, {"ref": "sneharathore5188/notebookd063982437", "kernel_id": "76919166"}, {"ref": "harshkuma12405466r/housepriceswithharsh", "kernel_id": "76956538"}, {"ref": "navprabakar/house-prediction", "kernel_id": "76709960"}, {"ref": "awoopa/notebook3c28e46892", "kernel_id": "76067791"}, {"ref": "hoanguyen1301/notebook33d50859d2", "kernel_id": "76317033"}, {"ref": "ynnguyn804/house-prices", "kernel_id": "76079921"}, {"ref": "holyshot159/true-house-rice", "kernel_id": "76162746"}, {"ref": "hastaputrawildantara/notebook1a114284ab", "kernel_id": "76418443"}, {"ref": "hango3/house-price", "kernel_id": "76238101"}, {"ref": "gbeminiyionipede/regression-competiton-approach", "kernel_id": "76508916"}, {"ref": "roderichcavine/machine-learning-linear-regression-lj01-roderich", "kernel_id": "76836687"}, {"ref": "chisalee/house-price", "kernel_id": "76133097"}, {"ref": "gmicaisu/housepriceprediction", "kernel_id": "76679694"}, {"ref": "rebeccadinslage/dinslage-house-prices-1", "kernel_id": "76679722"}, {"ref": "brodief/final", "kernel_id": "76682133"}, {"ref": "isuethanfarrell/second-kaggle-notebook", "kernel_id": "76673562"}, {"ref": "hallucinations/house-prices-prediction", "kernel_id": "76298276"}, {"ref": "nguyenthithuy2004/notebookd2dc1714ac", "kernel_id": "76217972"}, {"ref": "hishamtaleb/lab3-4-2", "kernel_id": "76462488"}, {"ref": "hishamtaleb/lab3-4-3", "kernel_id": "76466020"}, {"ref": "hishamtaleb/lab3-4-5", "kernel_id": "76468157"}, {"ref": "trnhuynchm/notebook83ea1d04d2", "kernel_id": "76321157"}, {"ref": "linhdieu255/25a404184-vudieulinh", "kernel_id": "76316532"}, {"ref": "bchdiptrnth/notebookdc7590b53e", "kernel_id": "76322332"}, {"ref": "liberthe/house-price-pred1", "kernel_id": "76324552"}, {"ref": "gogolmod/122314", "kernel_id": "76350017"}, {"ref": "lanly168/notebook5dbc033b8a", "kernel_id": "76444772"}, {"ref": "kaggleuser1902/btap-bu-i-2-ai", "kernel_id": "76447199"}, {"ref": "aryaansaxena/regularized-linear-models", "kernel_id": "76478926"}, {"ref": "duongduc1602/notebookd5f980b70c", "kernel_id": "76514621"}, {"ref": "tbi061601/notebook7fc1f943e6", "kernel_id": "76560936"}, {"ref": "nguyenthuyet/tn-house-prices-predict", "kernel_id": "76565511"}, {"ref": "nguyenac/houseprice", "kernel_id": "76535871"}, {"ref": "maiphung/house-prices", "kernel_id": "76544411"}, {"ref": "nguyenphuongthaohvnh/houseprices", "kernel_id": "76548907"}, {"ref": "divyanshukumar280502/notebooke553a642ea", "kernel_id": "76599690"}, {"ref": "ak0212/house-prices-prediction-using-tfdf", "kernel_id": "76704723"}, {"ref": "nitishchauhan846/notebook2fe6b50b0e", "kernel_id": "76918526"}, {"ref": "kamsmile/house-price-prediction-full-trainings", "kernel_id": "77231764"}, {"ref": "slavoljub84/house-price-prediction-detailed-analysis", "kernel_id": "77564621"}, {"ref": "chasek123/starter-notebook-ii-advanced-data-preparation", "kernel_id": "77342074"}, {"ref": "mehreenmubashar/mid-term-part-3-attempt-4", "kernel_id": "77255135"}, {"ref": "aaronisomaisom3/house-prices-xgb-tuning-feature-engineering", "kernel_id": "77573479"}, {"ref": "rikiyahonda/housing-price-lasso-r-japanese", "kernel_id": "77571904"}, {"ref": "ahmedsaid404/house-prices-advanced-regression-techniques", "kernel_id": "77241124"}, {"ref": "rizwanqq/notebook6239586e6f", "kernel_id": "77035563"}, {"ref": "rizwanqq/p3-midterm", "kernel_id": "77373213"}, {"ref": "superout/predicting-house-prices", "kernel_id": "77275857"}, {"ref": "alijalili/house-prices-modeling", "kernel_id": "77224872"}, {"ref": "rakkesharv/complete-guide-to-linear-regression-ml-modelling", "kernel_id": "77776447"}, {"ref": "amaraizummesoma/house-prediction-v2", "kernel_id": "77733812"}, {"ref": "lokbomen/t8-26feb-sn2-adp", "kernel_id": "77408175"}, {"ref": "smnour/code-ml", "kernel_id": "77861975"}, {"ref": "eshagadgil/notebook3376c12b91", "kernel_id": "77476192"}, {"ref": "niharranjanmanthan/house-price-prediction", "kernel_id": "77874662"}, {"ref": "yousefelshahat2/house-pricing-v2", "kernel_id": "77996396"}, {"ref": "luxcph/housing-prices-notebook", "kernel_id": "77394792"}, {"ref": "harsh071/notebook74b1595922", "kernel_id": "77745864"}, {"ref": "noeldin25/house-prediction", "kernel_id": "77247578"}, {"ref": "chenligutu/house-price-calculator", "kernel_id": "77061829"}, {"ref": "ameyyymohile/complete-eda-using-python", "kernel_id": "77523876"}, {"ref": "niallks/notebookf8577fddd2", "kernel_id": "77059926"}, {"ref": "leila413y/house-prices-comprehensive-eda", "kernel_id": "77376121"}, {"ref": "erayyglr/house-prices-prediction", "kernel_id": "77759661"}, {"ref": "anqiertong/notebookhaa", "kernel_id": "77803536"}, {"ref": "jonk04/notebook3c8be7a3d2", "kernel_id": "77059430"}, {"ref": "ayfait/house-prices-art-xgboost-regressor", "kernel_id": "77263617"}, {"ref": "kevinsweep/sesi3-2", "kernel_id": "77024089"}, {"ref": "zunairaaa/house-price-pridictionn", "kernel_id": "77894220"}, {"ref": "geykhh/jlu-test1", "kernel_id": "77357003"}, {"ref": "maximravichev/house-prices-advanced-regression-notebook", "kernel_id": "77405706"}, {"ref": "krupalverama/new-hosing-price", "kernel_id": "77529088"}, {"ref": "winrar2/homework-ai-bu-i-4", "kernel_id": "77238041"}, {"ref": "suleymanertekin/yuva-csv", "kernel_id": "77195536"}, {"ref": "snonvn/houseprice-ver2", "kernel_id": "77100707"}, {"ref": "ar33ba/notebook409c0d2bc1", "kernel_id": "77306803"}, {"ref": "asmarida/notebook78333d8e3e", "kernel_id": "77202565"}, {"ref": "hindabdalla/hyperparameter-tuning", "kernel_id": "77185629"}, {"ref": "laythtesting/layth-abuarram-challenge", "kernel_id": "77071874"}, {"ref": "laythtesting/midterm-project-part-2-initial-modeling-layth", "kernel_id": "77075961"}, {"ref": "laythtesting/layth-abuarram-hyper-tuning", "kernel_id": "77464464"}, {"ref": "alialdhubri/notebookf8d307cca6", "kernel_id": "77139605"}, {"ref": "alialdhubri/notebook1185f0ebd9", "kernel_id": "77832514"}, {"ref": "linhdui/rf-dui", "kernel_id": "77460892"}, {"ref": "sudesoylemez/house-prices", "kernel_id": "77654356"}, {"ref": "muhammadhanzlatahir/midterm-project-part-3-hyper-parameter-tuning", "kernel_id": "77296906"}, {"ref": "khannoaman210088609/midepart3-210088609", "kernel_id": "77470751"}, {"ref": "wednesdayyyyy/notebook09a6422e5b", "kernel_id": "77379850"}, {"ref": "duowg29/notebook7f3ddef726", "kernel_id": "77242441"}, {"ref": "thatarguy/house-price-prediction", "kernel_id": "77586531"}, {"ref": "naincy1910/regressions-analysis-to-predict-house-prices", "kernel_id": "77453827"}, {"ref": "sumelahmad/house-prices-regression", "kernel_id": "77819735"}, {"ref": "rgict716/midterm-project-part-2-raghad-el-ghali", "kernel_id": "77061126"}, {"ref": "rgict716/midterm-project-part-3-hyperparameter-tuning-rg", "kernel_id": "77542195"}, {"ref": "halee210/tutorial-house-price-prediction", "kernel_id": "77024885"}, {"ref": "dextonjm/tutorial-house-price-prediction", "kernel_id": "77024923"}, {"ref": "khaledhassiba/midterm-project-part-2-initial-modeling", "kernel_id": "77132634"}, {"ref": "noahwons/notebook9843c9db5f", "kernel_id": "77391542"}, {"ref": "satyam2303/house-price-prediction", "kernel_id": "77293330"}, {"ref": "honoranidey/house-price-comp-2", "kernel_id": "77061021"}, {"ref": "benbettis/house-prices-prediction-using-tfdf", "kernel_id": "77560529"}, {"ref": "andreikhromykh/house-prices-xgbreg", "kernel_id": "77580637"}, {"ref": "arimartono/labtwohouseai", "kernel_id": "77556365"}, {"ref": "danilkocheshvili/housepricing-2-2", "kernel_id": "77202655"}, {"ref": "rzdanur/prediction2forhouse", "kernel_id": "77424567"}, {"ref": "rzdanur/prediction1forhouse", "kernel_id": "77423652"}, {"ref": "moose11/house-prediction", "kernel_id": "77555117"}, {"ref": "moose11/housepriceprediction", "kernel_id": "77553745"}, {"ref": "andrewchittum/house-prices-advanced-regression-techniques", "kernel_id": "77059610"}, {"ref": "jasonsteigerwald/houseprices", "kernel_id": "77060346"}, {"ref": "othompson/housing-prediction-2-20", "kernel_id": "77059606"}, {"ref": "gregorychernyavskiy/lab-3-ai2010-advanced-regression-ml-kaggle-hous", "kernel_id": "77321416"}, {"ref": "michaelproeschel/notebookcd7476fa72", "kernel_id": "77405520"}, {"ref": "jerryzheng1/kaggle-house-price-prediction", "kernel_id": "77059632"}, {"ref": "owenjewell/house-prices-notebook", "kernel_id": "77058904"}, {"ref": "cwestbrock/notebook65676705e0", "kernel_id": "77059605"}, {"ref": "alainasteffen/kaggle-lab-3-house-prices", "kernel_id": "77059619"}, {"ref": "jacoblehrman/notebook42a106d097", "kernel_id": "77059593"}, {"ref": "kovidhnagula/notebook519e63a9c5", "kernel_id": "77062831"}, {"ref": "mikaylaschultz/house-price-prediction", "kernel_id": "77059568"}, {"ref": "mikaylaschultz/notebook31e3f75b5f", "kernel_id": "77074149"}, {"ref": "rishonpakalapati/notebooke43c2246f8", "kernel_id": "77561961"}, {"ref": "leodastici/house-orices", "kernel_id": "77555287"}, {"ref": "mahathireddy17/house-regression-3", "kernel_id": "77493726"}, {"ref": "sravyaevoory/lab3houseprices", "kernel_id": "77471457"}, {"ref": "nguyenthithuy2004/house-prices", "kernel_id": "77184028"}, {"ref": "sarahvitria/house-prices", "kernel_id": "77203556"}, {"ref": "trnhuynchm/notebooke38059a27d", "kernel_id": "77306501"}, {"ref": "nthngoc/notebook1f9a945e5b", "kernel_id": "77254600"}, {"ref": "panhnguyen2807/house-prices-panh", "kernel_id": "77246096"}, {"ref": "bchdiptrnth/25a4041486-tranthibichdiep", "kernel_id": "77396931"}, {"ref": "hainyen/notebook7d9e6a4c64", "kernel_id": "77255829"}, {"ref": "thaohoang013/notebook8be5b4e2a5", "kernel_id": "77243378"}, {"ref": "alithsxz/notebook1b02cc505f", "kernel_id": "77537960"}, {"ref": "tanisharavindran/house-prices-tanisha-ravindran", "kernel_id": "77540267"}, {"ref": "ignatiuskevinwijaya/linear-regression", "kernel_id": "77039379"}, {"ref": "hernicksensatria/2702235235-hernicksensatria-houseprices", "kernel_id": "77026984"}, {"ref": "hernicksensatria/2702235235-hernicksensatria-housepriceprediction", "kernel_id": "77032458"}, {"ref": "tbi061601/buitu", "kernel_id": "77499659"}, {"ref": "nguyenthuyet/thuyetnguyen", "kernel_id": "77458478"}, {"ref": "brampeterson/notebook7ec580d6b1", "kernel_id": "77062878"}, {"ref": "maiphung/buoi4", "kernel_id": "77495139"}, {"ref": "nicolejtowne32/engineering-innovative-industry-features", "kernel_id": "77636027"}, {"ref": "raistefiku/house-price", "kernel_id": "77547969"}, {"ref": "raistefiku/house-pricing-v4", "kernel_id": "77552851"}, {"ref": "kylerichardson02/house2-kyle-richardson", "kernel_id": "77558288"}, {"ref": "amiyanix/notebookbe838a01f5", "kernel_id": "77471659"}, {"ref": "markplatt/notebook5485c8e400", "kernel_id": "77555713"}, {"ref": "sebastiangrannes/kagglehousepricescomp", "kernel_id": "77552219"}, {"ref": "rafamartinezquiles/the-skew-resilient-gradient-boosting-predictor", "kernel_id": "77619856"}, {"ref": "ritupomaje5/which-factors-impact-house-prices-a-data-science", "kernel_id": "77620927"}, {"ref": "zzoonngk/house-prices-prediction-with-neural-networks", "kernel_id": "77440610"}, {"ref": "zzoonngk/house-prices-prediction-with-decision-forest", "kernel_id": "77439168"}, {"ref": "lehlogonolomabetoa/starter-notebook-building-a-model-in-kaggle", "kernel_id": "77273377"}, {"ref": "lehlogonolomabetoa/engineering-innovative-industry-features", "kernel_id": "77619924"}, {"ref": "andreaperezleonsosa/a-humble-but-honest-attempt", "kernel_id": "77621048"}, {"ref": "saarkoopie/using-consumer-preferences-to-predict-house-prices", "kernel_id": "77619959"}, {"ref": "vikacat/house-truncated-cleaned-draft", "kernel_id": "77177614"}, {"ref": "federicozaninelli9/feature-engineering-focus", "kernel_id": "77622064"}, {"ref": "frangalleg/predictive-model-housing-sales-price", "kernel_id": "77623468"}, {"ref": "vinicauneto/finding-the-best-price-in-the-best-neighborhood", "kernel_id": "77408200"}, {"ref": "giangta/giangta", "kernel_id": "77456126"}, {"ref": "giangta/baitaptuan4", "kernel_id": "77457312"}, {"ref": "timinsley/insley-housepriceprediction-w-pca", "kernel_id": "77892529"}, {"ref": "subhajitguchhait/notebookcb38be512b", "kernel_id": "77558314"}, {"ref": "lukef2/lab3ai2010", "kernel_id": "77571659"}, {"ref": "emilybrunner2/house-price-prediction-hult-team-2-spring-2025", "kernel_id": "77574065"}, {"ref": "emilybrunner2/not-just-a-number-why-age-space-matter-in-house", "kernel_id": "77620484"}, {"ref": "mamkwebu/housing-pred-book", "kernel_id": "78514726"}, {"ref": "allegich/economic-model-of-house-prices", "kernel_id": "78243036"}, {"ref": "mervanmunis/house-price-prediction-using-advanced-regression", "kernel_id": "78969864"}, {"ref": "imenselmi/house-price-prediction", "kernel_id": "78843411"}, {"ref": "ramifrija/house-prediction-basic-solution", "kernel_id": "78638033"}, {"ref": "rizwanqq/notebook515ab49730", "kernel_id": "78420344"}, {"ref": "rizwanqq/assig-mid", "kernel_id": "78433137"}, {"ref": "bryceloui/bryceloui-housepriceprediction", "kernel_id": "78772746"}, {"ref": "aniketant/class-project", "kernel_id": "78025787"}, {"ref": "changyanteing/feature-engineering-for-house-prices-e54943", "kernel_id": "78961390"}, {"ref": "runqichen/house-prices-prediction-pytorch-mlp", "kernel_id": "78322993"}, {"ref": "youssefbenamorr/notebook6ae497564f", "kernel_id": "78648364"}, {"ref": "mrabbyilyas/house-price-competition-eda-ml", "kernel_id": "78374327"}, {"ref": "nikpetranovic/using-xgb", "kernel_id": "78711225"}, {"ref": "kedhareswernaidu/house-price-predictions", "kernel_id": "78425677"}, {"ref": "ilyesjeridi/ilyes-jeridi-score-0-7353", "kernel_id": "78667756"}, {"ref": "damienchauvet/kaggle-house-prices-competition-notebook", "kernel_id": "78443033"}, {"ref": "ayomide2000/papa-uperior", "kernel_id": "78303629"}, {"ref": "ebubekirtilbac/house-price-pred", "kernel_id": "78834555"}, {"ref": "ebubekirtilbac/house-price-prediction-ml", "kernel_id": "78744851"}, {"ref": "fafaao/house-prices-prediction-dl", "kernel_id": "78906825"}, {"ref": "fafaao/house-prices-prediction-2", "kernel_id": "78470004"}, {"ref": "fafaao/house-prices-prediction", "kernel_id": "78074881"}, {"ref": "landonlc/landoncasstevens-housepriceprediction", "kernel_id": "78975018"}, {"ref": "yesminemessaoudi/house-prediction-act1", "kernel_id": "78631079"}, {"ref": "bahridgr/predicting-house-prices-with-regression-techniques", "kernel_id": "78913711"}, {"ref": "fugezz/staking-prediction-model-score-0-11782-top-2-5", "kernel_id": "78345990"}, {"ref": "vishalpatwa/house-price-predication", "kernel_id": "78292593"}, {"ref": "dongwookkho/lab5-dongwookkho-dk33264", "kernel_id": "78079981"}, {"ref": "dprudhviraj/prudhviraj-housingprediction", "kernel_id": "78919557"}, {"ref": "danyalabbas1/feature-engineering-for-house-prices", "kernel_id": "78905109"}, {"ref": "mirzashatuislam/house-price-predict-use-multiple-ml-model", "kernel_id": "78734321"}, {"ref": "atharvasoundankar/house-pred", "kernel_id": "78170739"}, {"ref": "chihoangf/house-pricing-analysis-model", "kernel_id": "78459408"}, {"ref": "zargana/house-price-prediction-model-hw", "kernel_id": "78805131"}, {"ref": "humoyunabdukarimov/tabfpn-regressor-score-0-11359", "kernel_id": "78842573"}, {"ref": "vaishnavikapde/house-price-prediction-using-xgbr", "kernel_id": "78950232"}, {"ref": "raeedalsabri/raeed-alsabri-mid-term-project", "kernel_id": "78708595"}, {"ref": "raymoa/lab5-3", "kernel_id": "78156917"}, {"ref": "abdullahhamadalmousa/visualization-and-multiple-models", "kernel_id": "78808423"}, {"ref": "haliagan/house-price-mlp", "kernel_id": "78798212"}, {"ref": "ar33ba/midterm4", "kernel_id": "78366402"}, {"ref": "asmarida/notebook8e4ee1458b", "kernel_id": "78779420"}, {"ref": "hindabdalla/mid-term-project-maximize-model-accuracy", "kernel_id": "78425594"}, {"ref": "alialdhubri/aldhubri-mid-term-project-preview-due-date-tbd", "kernel_id": "78201762"}, {"ref": "realterryzhao/notebook9e0f58b816", "kernel_id": "78210682"}, {"ref": "laythabuarramm/mid-term-project-preview-due-date-tbd-layth", "kernel_id": "78315984"}, {"ref": "taylormorabito/taylormorabito-housepriceprediction", "kernel_id": "78991530"}, {"ref": "amenahidoussi/house-price-prediction-categoruical-features", "kernel_id": "78039247"}, {"ref": "amenahidoussi/housepricepredictioncomp", "kernel_id": "78031130"}, {"ref": "hikariyuta/house-pricing-pred", "kernel_id": "78031147"}, {"ref": "aybkesdar/house-prices-prediction-with-ml", "kernel_id": "78835149"}, {"ref": "mustafaoz158/house-prices-eda-prediction-with-ml", "kernel_id": "78932693"}, {"ref": "nourhmaidi/house-prediction-basic-solution", "kernel_id": "78688987"}, {"ref": "mubashraiftikhar/house-price-mlr", "kernel_id": "78006228"}, {"ref": "itaybenderski3711/house-prices-project-1", "kernel_id": "78319273"}, {"ref": "itaybenderski3711/house-prices-project-2", "kernel_id": "78318844"}, {"ref": "raylin6610/dl-hw2-house-price-predict", "kernel_id": "78922471"}, {"ref": "sougataroy05/housing-prices-advanced-regression", "kernel_id": "78180724"}, {"ref": "warmcore/house-price", "kernel_id": "78485854"}, {"ref": "nhatminz/khdl-best", "kernel_id": "78440502"}, {"ref": "janemorgan/prediction4", "kernel_id": "78384989"}, {"ref": "milesjew/final-prediction", "kernel_id": "78858763"}, {"ref": "nataliemathers/notebookba756d7593", "kernel_id": "78384648"}, {"ref": "pelintufekci/house-prices", "kernel_id": "78832134"}, {"ref": "minhvunguyentruong/khdl-14-3-42cd46", "kernel_id": "78718928"}, {"ref": "denizmadala/usa-house-price-prediction-model", "kernel_id": "78831974"}, {"ref": "gizemodeorain/house-price-prediction", "kernel_id": "78832072"}, {"ref": "ayberkural/house-prices-advanced-regression-techniques", "kernel_id": "78705884"}, {"ref": "batikaancanakci/house-price-preditcion", "kernel_id": "78801888"}, {"ref": "rgict716/mid-term-project-rg-kaggle-score-0-12798", "kernel_id": "78686692"}, {"ref": "nidhitiwari4/house-pricing-draft", "kernel_id": "78387679"}, {"ref": "abessimomtez/house-price-prediction-momtez-chams", "kernel_id": "78759743"}, {"ref": "sanoyoshiki/house-prices-prediction-on-ensemble", "kernel_id": "78151919"}, {"ref": "allalachiheb/notebooktp1ml", "kernel_id": "78083458"}, {"ref": "mossabw/house-predicition-basic-solution", "kernel_id": "78541192"}, {"ref": "aziz002/notebookd796626473", "kernel_id": "78905680"}, {"ref": "khaledhassiba/notebook984508ec68", "kernel_id": "78614981"}, {"ref": "govindparmar1504/linear-regression", "kernel_id": "78089522"}, {"ref": "darianmirandaolivas/prediction-finale", "kernel_id": "78913955"}, {"ref": "daniel9348597/ols-on-house-price", "kernel_id": "78320878"}, {"ref": "nokhan210088609/midtermproject210088609", "kernel_id": "78766799"}, {"ref": "simmimani/lab5-regularized-linear-models", "kernel_id": "78146119"}, {"ref": "madishettypriyanka/priyanka-housingprediction", "kernel_id": "78972005"}, {"ref": "chloposluszny/gradient-boosting-improved-housing-prices", "kernel_id": "78161334"}, {"ref": "jaylagreen/jaylagreen-housepriceprediction", "kernel_id": "78807865"}, {"ref": "nolanggustafson/housenotebook", "kernel_id": "78065254"}, {"ref": "lucascavalare/house-features-exploration", "kernel_id": "78395898"}, {"ref": "pspspspx/house-price-regression-model", "kernel_id": "78813375"}, {"ref": "prernadhall/houseprice-regression-technique", "kernel_id": "78733713"}, {"ref": "pppp69/notebookc67b31a841", "kernel_id": "78433804"}, {"ref": "ntthanhse/house-price-trainning-from-scatch", "kernel_id": "78043365"}, {"ref": "jmt9454/townsendjake-housingprediction", "kernel_id": "78954400"}, {"ref": "benlaird1/benlaird-housepriceprediction", "kernel_id": "78766692"}, {"ref": "loganbu/logan-housingprediction", "kernel_id": "78646296"}, {"ref": "leslieaguilarpiedra/aguilarpiedra-housingprediction", "kernel_id": "78980449"}, {"ref": "rakhibhati/finding-your-files-in-kaggle-kernels", "kernel_id": "78164306"}, {"ref": "cyrusjacob/house-prices-art-xgboost-regressor", "kernel_id": "78037084"}, {"ref": "jorgegarcia01/dataiq-housing-python", "kernel_id": "78402841"}, {"ref": "sadikemir/regression-standart-predict-home-price", "kernel_id": "78975793"}, {"ref": "williamebright/williamebright-housingprediction", "kernel_id": "78828638"}, {"ref": "yiupoyeung/school-project", "kernel_id": "78555860"}, {"ref": "walterchencs/house-price-mlp", "kernel_id": "78748033"}, {"ref": "walterchencs/house-linear-regression", "kernel_id": "78747645"}, {"ref": "yasminemeriem12/house-prices-prediction", "kernel_id": "78958123"}, {"ref": "agoyal1008/ensemble-learning-techniques-tutorial", "kernel_id": "79302565"}, {"ref": "dngcngsn/house-prediction-2", "kernel_id": "79580010"}, {"ref": "parinthonpuksuriwong/house-price-prediction", "kernel_id": "79336007"}, {"ref": "aliasghar785/feature-engineering-for-house-prices", "kernel_id": "79113956"}, {"ref": "beastbeats/predictive-house-price-model-using-random-forest", "kernel_id": "79531248"}, {"ref": "pattae/house-price-prediction-competition", "kernel_id": "79508722"}, {"ref": "anisnawar/anis-nawar-house-prediction-basic-solution", "kernel_id": "79161022"}, {"ref": "chahine9/house-prediction-basic-solution-v1-00", "kernel_id": "79234366"}, {"ref": "ahmedbenazzouz/house-prediction-basic-solution", "kernel_id": "79232203"}, {"ref": "chamesyahia/house-price-prediction-momtez-chams", "kernel_id": "79161304"}, {"ref": "kushal1239/proximal-minimization-algorithm", "kernel_id": "79265819"}, {"ref": "migrantworkerdata/house-prices-prediction-using-tfdf", "kernel_id": "79069447"}, {"ref": "amirarakieva/house-prices-prediction-using-tfdf", "kernel_id": "79686103"}, {"ref": "benjnb/house-price-prediction", "kernel_id": "79561699"}, {"ref": "gamzeozdemir/housepriceprediction-ml2", "kernel_id": "79174328"}, {"ref": "priyanshupadhi/house-prices-s040", "kernel_id": "79738013"}, {"ref": "bishwa3901/end-end-house-price-prediction-ml", "kernel_id": "79684756"}, {"ref": "fadyyoussif/house-prices-regression", "kernel_id": "79722254"}, {"ref": "wadoodali/house-price-prediction-using-ml-best-model", "kernel_id": "79395755"}, {"ref": "iliasahmed231/inferential-statistics-batch-2502-ilias-ahmed", "kernel_id": "79113936"}, {"ref": "kanumuriravivarma99/ravi-housingprediction", "kernel_id": "79008033"}, {"ref": "rohantalaviya/house-price-prediction-machine-learning", "kernel_id": "79414045"}, {"ref": "afadsfawefawefsd/house-prices", "kernel_id": "79333373"}, {"ref": "raeedalsabri/challenge-project", "kernel_id": "79117126"}, {"ref": "duygukranolu/predicting-house-prices-using-ml", "kernel_id": "79237964"}, {"ref": "jaminideenavarughese/house-prices-advanced-regression-techniques", "kernel_id": "79142774"}, {"ref": "semernahdi/house-prediction-basic-solution", "kernel_id": "79108494"}, {"ref": "ourabiranym/house-prediction-basic-solution", "kernel_id": "79166843"}, {"ref": "guzhinbogdan/ml-reinforcement-learning-04-auto-ml", "kernel_id": "79362769"}, {"ref": "taylormorabito/fork-of-taylormorabito-housepriceprediction", "kernel_id": "79400172"}, {"ref": "arpitthayal/house-price-prediction", "kernel_id": "79566390"}, {"ref": "theerfanyousefi/pre-saleprice-house", "kernel_id": "79182177"}, {"ref": "bokriaziz/notebookc41aff08c9", "kernel_id": "79220126"}, {"ref": "jouinimaram/house-prediction-basic-solution", "kernel_id": "79185800"}, {"ref": "israahmadi/house-price-categorie", "kernel_id": "79052556"}, {"ref": "ahmedbenmasseoud/house-prediction-basic-solution", "kernel_id": "79159495"}, {"ref": "ahmedbenmasseoud/donn-es-cat-gorielles", "kernel_id": "79247385"}, {"ref": "eyataieb/house-prediction-solution", "kernel_id": "79231124"}, {"ref": "raylin6610/dl-hw2-house-price-predict-no-standlization", "kernel_id": "79349056"}, {"ref": "nhatminz/22-3-khdl-6d8a38", "kernel_id": "79332113"}, {"ref": "ju1iangreen/notebook7b50ceda26", "kernel_id": "79394897"}, {"ref": "csvishalrout/anonymous-regression123", "kernel_id": "79034208"}, {"ref": "grigorii220/house-price-prediction-with-a-deep-neural-network", "kernel_id": "79388197"}, {"ref": "nguyenhunguet/notebook9eb3dc0755", "kernel_id": "79140087"}, {"ref": "akhilpk88/feature-engineering-for-house-prices", "kernel_id": "79601960"}, {"ref": "jaylagreen/chapter-4-lab", "kernel_id": "79921071"}, {"ref": "saikalbatyrbekova/house-prices-saikal-batyrbekova", "kernel_id": "79570352"}, {"ref": "argenazanov/house-price-azarft", "kernel_id": "79694883"}, {"ref": "ainazikbakytbek/house-price", "kernel_id": "79897641"}, {"ref": "kravchukanna/feature-engineering-house-prices", "kernel_id": "79680231"}, {"ref": "shlokkumar2303/house-prices-xgbregressor", "kernel_id": "79905768"}, {"ref": "reemanalkhalifi/notebookcdf5bf27bc", "kernel_id": "79474081"}, {"ref": "timinsley/chapter-4-lab-house-prices-insley", "kernel_id": "79840990"}, {"ref": "joeymills/joeymills-housepriceprediction", "kernel_id": "79005429"}, {"ref": "joeymills/joeymillslab4p1", "kernel_id": "79398091"}, {"ref": "jazz25/day-3-function-calling-with-the-gemini-api", "kernel_id": "79861549"}, {"ref": "xiazhijian/house-prices-eda-prediction-with-ml-15b273", "kernel_id": "79377757"}, {"ref": "ghazibenghozlen/house-prediction-project", "kernel_id": "79697649"}, {"ref": "jayhawk1900/kaggle-house-prices-advanced-regression-tech", "kernel_id": "80229697"}, {"ref": "hominlee/eda-simple", "kernel_id": "80562206"}, {"ref": "mervanmunis/house-price-predection-lm-best-model-selection", "kernel_id": "80931486"}, {"ref": "bryceloui/lab-4", "kernel_id": "80434334"}, {"ref": "nayerbasim/house-price-predictions", "kernel_id": "80939610"}, {"ref": "sepahsaalaar93/house-prices-prediction-using-tfdf", "kernel_id": "80844808"}, {"ref": "ashishraj5465/house-price-prediction", "kernel_id": "80450483"}, {"ref": "mcan2138/module-7-comprehensive-advanced-ensemble-methods", "kernel_id": "80167328"}, {"ref": "kenzasouabni/house-prediction-basic-solution", "kernel_id": "80424483"}, {"ref": "rawangamalharb/advanced-house-price", "kernel_id": "80534382"}, {"ref": "ramdwarakanath/housing-prices-regression-notebook", "kernel_id": "80732349"}, {"ref": "surajsonuk/house-prices-solution-kle-bca", "kernel_id": "80195916"}, {"ref": "saeedsadabadi/house-prices", "kernel_id": "80207874"}, {"ref": "milan012/house-price-prediction", "kernel_id": "80662540"}, {"ref": "landonlc/chapter4lab-landoncasstevens", "kernel_id": "80447837"}, {"ref": "hangwang94/nau-644-house-prices-regression", "kernel_id": "80760529"}, {"ref": "dprudhviraj/prudhvi-raj-dasari-housing-competition", "kernel_id": "80396610"}, {"ref": "uulkelsinmyrzakanova/notebook71eb9d295c", "kernel_id": "80307596"}, {"ref": "dianamamytova/houseprice", "kernel_id": "80340344"}, {"ref": "kanumuriravivarma99/chapter4lab", "kernel_id": "80446280"}, {"ref": "samueltolossa/housepriceprediction", "kernel_id": "80874560"}, {"ref": "kevinsweep/lat-linear", "kernel_id": "80430647"}, {"ref": "langdabolt/ml-ca-3", "kernel_id": "80481358"}, {"ref": "fhjgbfhjvbiukff/ml-ca-3", "kernel_id": "80486110"}, {"ref": "sahilskamble/sahil-ca-28", "kernel_id": "80480554"}, {"ref": "jamiedcollins/house-prices-analysis", "kernel_id": "80171018"}, {"ref": "aakashlodha/notebookb7bbdb970c", "kernel_id": "80485437"}, {"ref": "alankartripathi/ames-housing-pred-ipynb", "kernel_id": "80695596"}, {"ref": "azrilfahmiardi/xgboost-house-prices-with-featureegineering", "kernel_id": "80362764"}, {"ref": "hikariyuta/dataminingproject", "kernel_id": "80170644"}, {"ref": "aswinbenny213/house-price-prediction", "kernel_id": "80962417"}, {"ref": "noorzalouk/house-prices-stacking-regressor", "kernel_id": "80818345"}, {"ref": "drapes/house-prices-advanced-regression-techniques", "kernel_id": "80479902"}, {"ref": "tueezelkaya/the-ames-housing", "kernel_id": "80593068"}, {"ref": "merveveriren/module-7", "kernel_id": "80315061"}, {"ref": "shixuanwei9/cp3403-5634-project-v2025a", "kernel_id": "80362245"}, {"ref": "vijaysajin/notebookd663b67297", "kernel_id": "80487093"}, {"ref": "fisheatno/house-price-prediction-using-xgboost", "kernel_id": "80085712"}, {"ref": "shraddhasharma240602/notebookccc44ea3e0", "kernel_id": "80528369"}, {"ref": "suhanisharma10/boston-house-price-predictions", "kernel_id": "80759583"}, {"ref": "prince9115/housing-price-comp", "kernel_id": "80297833"}, {"ref": "myskalanarbekova/house-price-myskal", "kernel_id": "80267915"}, {"ref": "myskalanarbekova/house-price", "kernel_id": "80319923"}, {"ref": "nurzhibekmakushova/house-price", "kernel_id": "80343530"}, {"ref": "aiturgan888/notebook2b0f160010", "kernel_id": "80338346"}, {"ref": "turatbektorobekov/housepredictionbyme", "kernel_id": "80336409"}, {"ref": "zarinakerimalieva/house-prices-prediction", "kernel_id": "80301070"}, {"ref": "rasimarapov/house-price-predict", "kernel_id": "80271754"}, {"ref": "lilbagi/house-price-prediction-using-randomforest-sklearn", "kernel_id": "80903974"}, {"ref": "vyacheslavoschepkov/2-xgboost", "kernel_id": "80079922"}, {"ref": "vyacheslavoschepkov/3-stacking-ensemble", "kernel_id": "80080670"}, {"ref": "vyacheslavoschepkov/1-eda-rfr", "kernel_id": "80078694"}, {"ref": "handrickguimaraes/houses-prices-with-histgradientboostingregressor", "kernel_id": "80722162"}, {"ref": "jmt9454/townsendjake-chapter4-lab", "kernel_id": "80446820"}, {"ref": "benlaird1/housing-ch4lab-laird2", "kernel_id": "80189403"}, {"ref": "loganbu/logan-lab4", "kernel_id": "80452560"}, {"ref": "leslieaguilarpiedra/leslie-aguilarpiedra-housing-poly-column", "kernel_id": "80313641"}, {"ref": "priyankamadishetty/chapter4-lab", "kernel_id": "80445237"}, {"ref": "joeymills/joeymillslab4", "kernel_id": "80464664"}, {"ref": "willongwang/kaggle-house-price-from-d2l-with-modifications", "kernel_id": "80965249"}, {"ref": "fatihturanst/notebook20a214139e", "kernel_id": "80898834"}, {"ref": "williamebright/fork-of-williamebright-housingprediction", "kernel_id": "80443979"}, {"ref": "dongqiangjapan/notebook9bbc1ef55e", "kernel_id": "80282640"}, {"ref": "paranjpe16/notebook2639d6c77b", "kernel_id": "80481631"}, {"ref": "abiabid/house-prices-advanced-regression-techniques", "kernel_id": "80367728"}, {"ref": "kayrahanozcan/house-price-prediction-ames-housing-dataset", "kernel_id": "80719943"}, {"ref": "thanhtunga1k49/nomorepoint", "kernel_id": "80921323"}, {"ref": "juliazhu09/dsml-01-09", "kernel_id": "80516502"}, {"ref": "chuehankuo/decision-tree-from-scratch-with-neural-network", "kernel_id": "80436310"}, {"ref": "shreyas924/ml-ca", "kernel_id": "80484393"}, {"ref": "aliamini93/house-price-prediction-lightgbm", "kernel_id": "80931708"}, {"ref": "aliamini93/house-prices-prediction-tfdf-feature-egineering", "kernel_id": "80928359"}, {"ref": "aliamini93/regression-light-gbm-xgboost", "kernel_id": "80995370"}, {"ref": "abirsaha123456/ann-model", "kernel_id": "81683995"}, {"ref": "choijuho/regression", "kernel_id": "81496244"}, {"ref": "sosaito/advanced-house-price-prediction-with-xgboost", "kernel_id": "81707935"}, {"ref": "elvinglawu/kaggle-ames-housing-walkthrough-notebook", "kernel_id": "81549015"}, {"ref": "jwjw9603/py-t1-4-expected-questions", "kernel_id": "81415220"}, {"ref": "kanali001/notebooke484f90a6f", "kernel_id": "81426729"}, {"ref": "ghassenkhaled/outlier-detection-with-iqr", "kernel_id": "81123507"}, {"ref": "dranilkumardubey/houseprice-with-earlystoping-method", "kernel_id": "81104952"}, {"ref": "apple9855wang/house-price-predictions-practice-2", "kernel_id": "81342288"}, {"ref": "chanithirasnakawewa/house-price-prediction", "kernel_id": "81350453"}, {"ref": "stevanuso/playground-housing-price", "kernel_id": "81118007"}, {"ref": "vuhunghn/regularized-linear-models", "kernel_id": "81880361"}, {"ref": "abdelatifkhebiti/house-prediction-basic-solution", "kernel_id": "81423719"}, {"ref": "kava1/house-prices-a-beginner-s-introduction-to-ydf", "kernel_id": "81814260"}, {"ref": "efeyldz/house-prices", "kernel_id": "81873607"}, {"ref": "ouzhanakr/house-s", "kernel_id": "81775659"}, {"ref": "sofianesun/pycaret-house-prices-cours-ml-v1-1", "kernel_id": "81448328"}, {"ref": "ashmitcajla/entry-to-ml-basic", "kernel_id": "81098028"}, {"ref": "abdulrahmanhezam/housepricing-first-submission", "kernel_id": "81374620"}, {"ref": "gulsendemir/house-price-prediction-pipeline", "kernel_id": "81272229"}, {"ref": "hosnyabdullahmohamed/kaggle-competitions-advanced-regession", "kernel_id": "81379756"}, {"ref": "tomkit11/predicting-house-prices-using-lightgbm-model", "kernel_id": "81602393"}, {"ref": "akashkumar900ak/notebookfd749312ed", "kernel_id": "81568355"}, {"ref": "sarimahsan/randomforestregressor", "kernel_id": "81942962"}, {"ref": "raselsarker/house-price-prediction-with-lr-gb-rf-tunning", "kernel_id": "81246663"}, {"ref": "samuelfrans/houseprice-prediction", "kernel_id": "81659675"}, {"ref": "minggyul/notebook06b6c12e35", "kernel_id": "81203166"}, {"ref": "himanshumahajan138/house-price-prediction-using-all-regression-models", "kernel_id": "81764503"}, {"ref": "llkh0a/xgboost-lightgbm-catboost-ensemble-forbegginers", "kernel_id": "81527776"}, {"ref": "llkh0a/house-price-prediction", "kernel_id": "81849023"}, {"ref": "joe074/house-prices-pred", "kernel_id": "81877080"}, {"ref": "sahukunal/house-price-prediction", "kernel_id": "81577029"}, {"ref": "sayakmukherjee05/notebook6484e5f9a7", "kernel_id": "81844247"}, {"ref": "eladsz/house-prices-linear-regression-with-eda-feature", "kernel_id": "81193182"}, {"ref": "tuanjhg/btl-khdl", "kernel_id": "81426454"}, {"ref": "alra67681/final-project", "kernel_id": "81293872"}, {"ref": "yannkeita/house-prices-final-submission-yann-keita", "kernel_id": "81948572"}, {"ref": "kaiyoo88/regression", "kernel_id": "81496242"}, {"ref": "mohamedmosad23/house-prices", "kernel_id": "81380996"}, {"ref": "mohamedmosad23/house-price-using-ann", "kernel_id": "81478891"}, {"ref": "aatakanavcii/house-prices-prediction-using-tfdf", "kernel_id": "81767259"}, {"ref": "martishin/house-prices-prediction-using-xgboost-and-lasso", "kernel_id": "81016492"}, {"ref": "safalnarshing/prodigy-infotech-ml-internship-task-1", "kernel_id": "81377855"}, {"ref": "roy210005/finding-your-files-in-kaggle-kernels", "kernel_id": "81764182"}, {"ref": "nimaeshaghi/house-prices-art-by-nima-eshaghi", "kernel_id": "81049947"}, {"ref": "vishalsinghdogra/code-1", "kernel_id": "81928538"}, {"ref": "nicolasmorganti/first-version-xgb-regressor", "kernel_id": "81867269"}, {"ref": "betulozkan/notebook5534603e0e", "kernel_id": "81729489"}, {"ref": "rorshi/house-prices-regression", "kernel_id": "81494722"}, {"ref": "nielco/pred-houseprice", "kernel_id": "81496234"}, {"ref": "leeyujeong96/notebook346716cd49", "kernel_id": "81496266"}, {"ref": "nigmatrahim4/lightgbm", "kernel_id": "81840070"}, {"ref": "maciekadamczyk/house-prices-analysis", "kernel_id": "81782960"}, {"ref": "k0stro/house-prices-eda-regression", "kernel_id": "81432626"}, {"ref": "venkataadityap/machine-learning-practice-01", "kernel_id": "81423841"}, {"ref": "maxsnowden/housepricecomp-notebook0e9d0c5556", "kernel_id": "81076478"}, {"ref": "houmingyi/housing-price-prediction-with-xgboost", "kernel_id": "81384158"}, {"ref": "wellkilo/xgboost-housepricing", "kernel_id": "81563033"}, {"ref": "ugurozbiberci/house-price", "kernel_id": "81943477"}, {"ref": "aliamini93/house-price-prediction-lightgbm-v2", "kernel_id": "81168075"}, {"ref": "aliamini93/notebooke82e794b27", "kernel_id": "81163722"}, {"ref": "aliamini93/house-price-prediction-v4", "kernel_id": "81170830"}, {"ref": "aliamini93/house-price-prediction-stack-blend", "kernel_id": "81304652"}, {"ref": "shyamakhilnekkanti/housingpriceprediction", "kernel_id": "81092316"}, {"ref": "laglegrayen/notebook10ba72d473", "kernel_id": "81535255"}, {"ref": "laglegrayen/house-pricing-predictions", "kernel_id": "81463542"}, {"ref": "tamarkenan/matala-1-notebook", "kernel_id": "81389064"}, {"ref": "kierstenmc/curtis-data612final-2025", "kernel_id": "81725407"}, {"ref": "mridulmahajan4/kaggle-house-prices", "kernel_id": "81654587"}, {"ref": "mridulmahajan4/house-price-prediction", "kernel_id": "81707444"}, {"ref": "tkoyama010/house-prices-advanced-regression-techniques-path", "kernel_id": "82215443"}, {"ref": "ayushikhandal/houseprice-prediction-using-different-models", "kernel_id": "82394900"}, {"ref": "alicanpayasli/houseprice-eda", "kernel_id": "82619921"}, {"ref": "zeinabsalem/house-price-prediction", "kernel_id": "82575317"}, {"ref": "atakhatibi/house-prices-advanced-regression-techniques", "kernel_id": "82017416"}, {"ref": "parthkathiriya7/simple-version-of-randomforestregression", "kernel_id": "82743443"}, {"ref": "minesalbas/houseprice-eda", "kernel_id": "82830082"}, {"ref": "mycoleb/house-prices", "kernel_id": "82705662"}, {"ref": "jayakishan225/predicting-house-prices-with-ml", "kernel_id": "82771271"}, {"ref": "sittakonphommee/regularized-linear-models", "kernel_id": "82091716"}, {"ref": "luiz2002/house-pricing-0-13481", "kernel_id": "82936089"}, {"ref": "mahmoudabdelwhabddd/regression-house-price", "kernel_id": "82568910"}, {"ref": "godenzoon/house-price-predict", "kernel_id": "82153579"}, {"ref": "yiluosjtut/house-prices-advanced-regression", "kernel_id": "82205080"}, {"ref": "n2o0vhukut/notebooke390404ec4", "kernel_id": "82558856"}, {"ref": "asfandyar09/notebook2429c7e875", "kernel_id": "82173371"}, {"ref": "asfandyar09/housing-price-prediction-models", "kernel_id": "82176495"}, {"ref": "anshulprasad5440/houseprice", "kernel_id": "82903997"}, {"ref": "luisdudupit/kaggle", "kernel_id": "82578772"}, {"ref": "sakhawathossen/may-25-regression-notebook", "kernel_id": "82973647"}, {"ref": "fatmaig/predict-house-price", "kernel_id": "82587217"}, {"ref": "nickwittler/house-price-competition-boosted-trees-in-r", "kernel_id": "82069324"}, {"ref": "vadhnasamedyhun/house-prices-prediction-tfdf", "kernel_id": "82173086"}, {"ref": "elenaryashchentceva/into-to-kagle", "kernel_id": "82909203"}, {"ref": "manarsaber/house-prices-eda", "kernel_id": "82134142"}, {"ref": "salmanulfarish/house-price-competition-boosted-trees-in-r", "kernel_id": "82277552"}, {"ref": "stanisawpruszek/house-pricing-solution", "kernel_id": "82418798"}, {"ref": "ruhul20/house-price-predict-pytorch", "kernel_id": "82579177"}, {"ref": "abdallahabdallahatef/house-pricing-kaggle-compitaion", "kernel_id": "82372399"}, {"ref": "baltacienes/houseprice-eda", "kernel_id": "82823865"}, {"ref": "halitgymen/my-first-tries-predicting-house-prices-with-ml", "kernel_id": "82611133"}, {"ref": "alonzoulery/house-price-prediction", "kernel_id": "82764750"}, {"ref": "tanhnd/house-prices-eda", "kernel_id": "82161029"}, {"ref": "sachinsrivastava023/preprocessing", "kernel_id": "82659290"}, {"ref": "sahilislam007/house-price-ml-model-analysis", "kernel_id": "82602518"}, {"ref": "harukariku/xgboost", "kernel_id": "82465838"}, {"ref": "samyakshaha/house-prices", "kernel_id": "82385659"}, {"ref": "samyakshaha/house-prices-adv-regression", "kernel_id": "82455645"}, {"ref": "vrushaali/housing-prices-prediction", "kernel_id": "82103185"}, {"ref": "nicolasmorganti/house-price-v2", "kernel_id": "82669523"}, {"ref": "nathannehemiah/house-price-prediction-workflow-with-xgboost", "kernel_id": "82000912"}, {"ref": "sudhanshumanbarkulia/housing-predection-model", "kernel_id": "82836165"}, {"ref": "tomitrle/ml-project-house-prediction", "kernel_id": "82367499"}, {"ref": "nakonechnyi/ml-first-project", "kernel_id": "82116135"}, {"ref": "shamimhasan8/comprehensive-data-exploration", "kernel_id": "82547239"}, {"ref": "matheusneivasoares/residenciaucb-houseprices-matheusneiva", "kernel_id": "82914015"}, {"ref": "mtheusbrandao/residenciaucb-houseprices-matheus-brandao", "kernel_id": "82989406"}, {"ref": "burakakif/house-prices-tst", "kernel_id": "82421299"}, {"ref": "luchihan1209/house-prices-advanced-regression-techniques", "kernel_id": "82057460"}, {"ref": "jantonioassuncao/residenciaucb-houseprices-joaoantonio", "kernel_id": "82916025"}, {"ref": "erikyork/kaggle", "kernel_id": "82965636"}, {"ref": "aisakihinaki/my-first", "kernel_id": "82682657"}, {"ref": "tedrosh/housepricefriday", "kernel_id": "83543445"}, {"ref": "dynamo14324/advanced-house-price-prediction", "kernel_id": "83684578"}, {"ref": "dynamo14324/advanced-house-price-prediction-2-0", "kernel_id": "83703632"}, {"ref": "bbtatsu/node-vs-lgbm-baseline", "kernel_id": "83692339"}, {"ref": "ayhanakkaya/derin-renme-ile-ev-fiyat-tahmini", "kernel_id": "83590934"}, {"ref": "moxxis/machine-learning-cheat-sheet", "kernel_id": "83628700"}, {"ref": "shivapan/housepriceprediction-2025", "kernel_id": "83061837"}, {"ref": "anshuagupta/notebook8b10441031", "kernel_id": "83537847"}, {"ref": "antoniobarion/house-prices-prediction-stacking", "kernel_id": "83938764"}, {"ref": "marcelobinna/house-pricing-prediction", "kernel_id": "83798255"}, {"ref": "ragita/house-prices-advanced-regression-techniques", "kernel_id": "83206459"}, {"ref": "shadesh/lower-rmse", "kernel_id": "83878406"}, {"ref": "shadesh/notebook5b72c3f6a0", "kernel_id": "83877926"}, {"ref": "shadesh/prediction-using-eda-feature-engineering-xgboos", "kernel_id": "83670107"}, {"ref": "shadesh/xgboost-with-feature-engineering", "kernel_id": "83661862"}, {"ref": "davidlord123/feature-analysis-on-house-pricing", "kernel_id": "83545544"}, {"ref": "ilknurgezer/homeseek", "kernel_id": "83384580"}, {"ref": "annatar1987/house-prices-v-4-catboost", "kernel_id": "83622367"}, {"ref": "annatar1987/housing-prices-competition-v-2-pipelene", "kernel_id": "83621170"}, {"ref": "rokstarshivam/house-prices-prediction-using-tensorflow-decision", "kernel_id": "83608420"}, {"ref": "omarfahmyelsharabasy/house-prices-competition", "kernel_id": "83465785"}, {"ref": "karinakasko/lab-5", "kernel_id": "83972665"}, {"ref": "elnazalikarami/house-price-prediction", "kernel_id": "83260737"}, {"ref": "kodalirithika/house-price-prediction", "kernel_id": "83534697"}, {"ref": "lucymcveigh/house-prices-advanced-competition-rmsle-0-11846", "kernel_id": "83722824"}, {"ref": "chrisywchen/house-price-prediction", "kernel_id": "83446228"}, {"ref": "youssefatourqui/predict-house-prices-in-ames-and-lowa", "kernel_id": "83757330"}, {"ref": "mridul990601/notebookd44792441d", "kernel_id": "83154824"}, {"ref": "cerclewang/kaggle-competition", "kernel_id": "83342458"}, {"ref": "lifeiyang04/sdxx-bg", "kernel_id": "83499249"}, {"ref": "anshulsingh19/house-price-prediction-multiple-linear-regression", "kernel_id": "83678966"}, {"ref": "yusufbatuhanalgl/xgbregressor-house-prices", "kernel_id": "83788968"}, {"ref": "joe074/php-pred-spbu", "kernel_id": "83866310"}, {"ref": "ebrahimzaher/house-price", "kernel_id": "83833681"}, {"ref": "mobinashamsodin/houseprice-competition-pipeline", "kernel_id": "83741969"}, {"ref": "hychhhhh/shizan01", "kernel_id": "83201200"}, {"ref": "heqiunan/kaggle-competition", "kernel_id": "83436470"}, {"ref": "liaoxingyujiqixuexi/dl-yucefangjia", "kernel_id": "83204030"}, {"ref": "syf1006/house", "kernel_id": "83648963"}, {"ref": "a2628045536/house-prices", "kernel_id": "83645686"}, {"ref": "mujielong/house-price-xgboost", "kernel_id": "83608820"}, {"ref": "chenjia123456/sdxx3", "kernel_id": "83845444"}, {"ref": "chuanhanpoo/house-prices-1-0", "kernel_id": "83028124"}, {"ref": "ishansaxena1/notebook30ef3d4a31", "kernel_id": "83301670"}, {"ref": "asilbekjon/house-price-prediction", "kernel_id": "83728157"}, {"ref": "savitasrivastava1402/housing-price-predictions", "kernel_id": "83063182"}, {"ref": "canozensoy/getting-started-housing-prices-advanced", "kernel_id": "83145403"}, {"ref": "efecanacar/notebookd01192fb39", "kernel_id": "83601713"}, {"ref": "betulozkan/module-8-homework", "kernel_id": "83755650"}, {"ref": "sreehariupas/house-price-prediction", "kernel_id": "83991008"}, {"ref": "kashfiatasmi/house-price-prediction-regression", "kernel_id": "83775834"}, {"ref": "yasin328000/house-price-predictions-rmse-of-0-1142", "kernel_id": "83843719"}, {"ref": "tungdd2009/xgboost-template-house-prices", "kernel_id": "83649324"}, {"ref": "luphy1/submission", "kernel_id": "83044607"}, {"ref": "manish6974/house-price-prediction-hyperparameter-tuning", "kernel_id": "83612429"}, {"ref": "liormalul/notebookbfdacfa7ce", "kernel_id": "83822584"}, {"ref": "aiengrimran/house-price-using-3-models-and-parameter-tunning", "kernel_id": "83656980"}, {"ref": "rafagu/house-price-lassocv-lightgbm-rafa-cn", "kernel_id": "83281202"}, {"ref": "marcprezlleix/house-prices-spanish-version", "kernel_id": "83053597"}, {"ref": "purple2002/blueprint-to-forecasting-prices-with-xgboost", "kernel_id": "83084427"}, {"ref": "gilmarviriatoq/residenciaucb-houseprices", "kernel_id": "83311012"}, {"ref": "danilerofeev/house-prices-ensemble", "kernel_id": "83931392"}, {"ref": "hemajitpatel/house-price-hem", "kernel_id": "83935903"}, {"ref": "zakiyff/prediction-house-prices-mlp-5-method-version", "kernel_id": "84082468"}, {"ref": "rohith964/house-prices-advanced-regression-techniques", "kernel_id": "84092726"}, {"ref": "ssorsby/only-ols-feature-eng-selection", "kernel_id": "84721303"}, {"ref": "augustinekuo/housing-prices-example-with-video-walkthrough", "kernel_id": "84591368"}, {"ref": "zainabsobhi/house-price-prediction-cat-lgb-xgb-ridge", "kernel_id": "84443755"}, {"ref": "danielmanzhos/house-prices-regression-techniques-3-models", "kernel_id": "84709700"}, {"ref": "krishd123/top-price-predictor-art-easy-to-grasp", "kernel_id": "84720198"}, {"ref": "chrisk321/housing-prices-getting-started-a-z", "kernel_id": "84920922"}, {"ref": "yogeshbawankar/house-price-prediction", "kernel_id": "84752463"}, {"ref": "fansongdai/data-preprocessing-for-every-column", "kernel_id": "84672964"}, {"ref": "fansongdai/train-with-processed-dataset", "kernel_id": "84673573"}, {"ref": "jeevikasharma2003/ultimate-guide-to-data-cleaning-techniques", "kernel_id": "84267076"}, {"ref": "eddieziscool/house-prices-prediction-using-embeding-on-xgboost", "kernel_id": "84507374"}, {"ref": "sunnysharma1822/housing-prices-predictions-linear-regression", "kernel_id": "84963299"}, {"ref": "yvgeniylavrenyuk/feature-engineering-house-prices", "kernel_id": "84972507"}, {"ref": "jiafong/house-prices-predictions", "kernel_id": "84603784"}, {"ref": "nkek19/house-prices", "kernel_id": "84294976"}, {"ref": "studywarriors/house-prices-prediction", "kernel_id": "84944584"}, {"ref": "durusetisrija/house-prices-eda", "kernel_id": "84554735"}, {"ref": "namannimble/optuna-kfold-stacked-ensemble", "kernel_id": "84207083"}, {"ref": "vagdevititikshag/house-price-prediction-adv-regression-techniques", "kernel_id": "84160461"}, {"ref": "elenaryashchentceva/house-of-prices-ensemble-tuning-model-blending", "kernel_id": "84725431"}, {"ref": "bondle/house-prices-prediction-multiple-models", "kernel_id": "84117013"}, {"ref": "mllion/electric-power-consumption-ml-models", "kernel_id": "84775905"}, {"ref": "teddyglass/kaggle-tutorial-250616-house-price", "kernel_id": "84949500"}, {"ref": "khalilakremi/house-price-predection", "kernel_id": "84163907"}, {"ref": "abdulfetahadem/house-prices-kaggle", "kernel_id": "84844363"}, {"ref": "meghabhopatkar/notebookbc4fc4ca19", "kernel_id": "84479881"}, {"ref": "sumonsiddik/house-prices", "kernel_id": "84400590"}, {"ref": "patthedatawhiz/house-price-prediction-with-ridge-regression", "kernel_id": "84087670"}, {"ref": "ahmedalduaisy/exploratory-data-analysis-eda-of-house-prices-da", "kernel_id": "84551930"}, {"ref": "adnanzamanniloy/house-prices-prediction", "kernel_id": "84180769"}, {"ref": "virceusl/automl-houseprices", "kernel_id": "84504748"}, {"ref": "siddbohra/handling-missing-values", "kernel_id": "84266184"}, {"ref": "alessiaakolanko/worker12", "kernel_id": "84775535"}, {"ref": "ovo428/house-prices-prediction-using-tfdf", "kernel_id": "84969492"}, {"ref": "aryanashoori/houseprice-competition-pipeline", "kernel_id": "84916676"}, {"ref": "mohamedmahmoud111/xgboost-regressor", "kernel_id": "84063149"}, {"ref": "sywliray/house-price-regression", "kernel_id": "84250041"}, {"ref": "atsushiinayoshi/house-price3", "kernel_id": "84579927"}, {"ref": "atsushiinayoshi/house-price4", "kernel_id": "84497550"}, {"ref": "vaivah/notebook1209d24c37", "kernel_id": "84063640"}, {"ref": "tungdd2009/catboost-template-house-prices", "kernel_id": "84050717"}, {"ref": "faizandataanalyst/house-price-prediction-with-xgboost", "kernel_id": "84907948"}, {"ref": "davidmartimar/house-prices-regression-submission", "kernel_id": "84529893"}, {"ref": "luiseduardoromeroolm/saleprice-prediction-gbregressor", "kernel_id": "84349708"}, {"ref": "luiseduardoromeroolm/saleprice-prediction-mlp", "kernel_id": "84532737"}, {"ref": "nguynvnduy001/feature-engineering-for-house-prices", "kernel_id": "84873895"}, {"ref": "baibhavpaudel7/houseprices-kaggle-regression-ridge-xgboost-ensemb", "kernel_id": "84020180"}, {"ref": "lyanai/predicted-houseprice", "kernel_id": "84791070"}, {"ref": "ogbad1/xgboost-model", "kernel_id": "84801494"}, {"ref": "suvitkumartu3658/house-prices-prediction-using-tfdf", "kernel_id": "84949485"}, {"ref": "manmeetsingh19/house-prices-prediction-using-tensorflow-decision", "kernel_id": "84953809"}, {"ref": "manmeetsingh19/saleprice-prediction-mlp", "kernel_id": "84953838"}, {"ref": "anureetkaurcheema/housenb", "kernel_id": "84955664"}, {"ref": "wcstcyx/house-prices-prediction-using-tfdf", "kernel_id": "85037515"}, {"ref": "zakiyff/review-house-prices-pmarcelino-s-code", "kernel_id": "85137641"}, {"ref": "catadanna/linear-regression-from-scratch", "kernel_id": "85192669"}, {"ref": "zohaib123/building-an-interactive-gui-in-kaggle-with-ipywidg", "kernel_id": "85668846"}, {"ref": "dynamo14324/fork-of-elite-house-prices-prediction", "kernel_id": "85068136"}, {"ref": "dynamo14324/house-prices-prediction-grandmaster-journey", "kernel_id": "85238031"}, {"ref": "gokulraajvelu/house-preduction-nn", "kernel_id": "85650837"}, {"ref": "arlekingg666/house-price-prediction", "kernel_id": "85149837"}, {"ref": "nkosibking/linear-regression-prediction", "kernel_id": "85177317"}, {"ref": "nkosibking/xg-boost-model", "kernel_id": "85177517"}, {"ref": "islompulatov/predict-house-price", "kernel_id": "85541790"}, {"ref": "farhaansiddiqui/housepriceprediction", "kernel_id": "85992672"}, {"ref": "sezginkaraglle/house-price-my-workshop", "kernel_id": "85789298"}, {"ref": "abhinavdogra002/xgboost-house-hunter-advanced-feature-engg", "kernel_id": "85675266"}, {"ref": "priyanshu594/indepth-eda-house-prices", "kernel_id": "85278108"}, {"ref": "lentlen/house-prices", "kernel_id": "85612908"}, {"ref": "uditmathur26/udit-house-price-prediction", "kernel_id": "85620122"}, {"ref": "chaimaourgani/house-prices-advanced-regression-techniques", "kernel_id": "85160760"}, {"ref": "yycyyc28/house-prices-prediction-using-tfdf", "kernel_id": "85086389"}, {"ref": "sanghoaxun/notebook0df3d2bf62", "kernel_id": "85440056"}, {"ref": "annafurgaawojas/house-prices", "kernel_id": "85206177"}, {"ref": "sunnysharma1822/housing-prices-prediction-ridge-regression", "kernel_id": "85656341"}, {"ref": "recepgk/house-prices-comperhensive-eda", "kernel_id": "85197620"}, {"ref": "fathriyanuri/housepriceprediction-regression", "kernel_id": "85106526"}, {"ref": "khwaishsaxena/house-price-advanced-regression-techniques", "kernel_id": "85544808"}, {"ref": "apolo5102/eda-robust-test", "kernel_id": "85157634"}, {"ref": "cartoonistbeard/house-price-prediction-regression-trees-xgb", "kernel_id": "85485553"}, {"ref": "shadali123/week-5-celebel", "kernel_id": "85186408"}, {"ref": "aminehmala/classification-regression-tuto", "kernel_id": "85746025"}, {"ref": "elenaryashchentceva/statistic-methods", "kernel_id": "85167791"}, {"ref": "thiagocardoso13/house-prices", "kernel_id": "85160995"}, {"ref": "seraphicfrost/house-price", "kernel_id": "85149167"}, {"ref": "vrajeshpatel22it120/prodigy-ml-01", "kernel_id": "85336267"}, {"ref": "ajay9020/house-price-data-preprocessing-feature", "kernel_id": "85524254"}, {"ref": "ajayjaat/price-prediction-of-medical-product", "kernel_id": "85514682"}, {"ref": "takarayusuke/kaggle-tutorial-250616-house-price-logy", "kernel_id": "85837392"}, {"ref": "aryanathane/house-price-prediction-using-rf-xgb", "kernel_id": "85556102"}, {"ref": "swastik2006/house-prices-stacked-models", "kernel_id": "85541871"}, {"ref": "tiharaliyanage/house-prices-prediction-tihara", "kernel_id": "85398199"}, {"ref": "syyyyy123/notebookd8636fabd8", "kernel_id": "85398815"}, {"ref": "zxw111/notebook", "kernel_id": "85517736"}, {"ref": "zxw111/notebookda08895904", "kernel_id": "85399951"}, {"ref": "fenningzhou/markdown", "kernel_id": "85513772"}, {"ref": "sparshjoshiiit/top15-smart-linear-regression-no-xgboost-no-tree", "kernel_id": "85355429"}, {"ref": "indroniel/first-shot-knn-regression", "kernel_id": "85694995"}, {"ref": "indroniel/first-shot-simple-linear-regression", "kernel_id": "85652358"}, {"ref": "tianjinqiu/notebookd8636fabd8", "kernel_id": "85440819"}, {"ref": "chuanhanpoo/house-price-2-0", "kernel_id": "85681018"}, {"ref": "penhellenios/log-scaled-xgb-house-predictor", "kernel_id": "85598754"}, {"ref": "ponyliu55/house-price-prediction", "kernel_id": "85567885"}, {"ref": "youssefkaram222/house-prices-predection-linearregression", "kernel_id": "85289719"}, {"ref": "adibabelayete/house-price-prediction-2025", "kernel_id": "85763893"}, {"ref": "michaelarie/michael-arie-anastassia-gruchik-ex4", "kernel_id": "85974133"}, {"ref": "antoniofiumara/final-kaggle-competition", "kernel_id": "85064703"}, {"ref": "bamboonotes/linear-regression-from-scratch-house-price-predi", "kernel_id": "85699916"}, {"ref": "ahmedali24/notebook78c0eabbd9", "kernel_id": "85800981"}, {"ref": "diegorossprice/ml-house-prices", "kernel_id": "85006472"}, {"ref": "nawshinorpita3/house-price-prediction", "kernel_id": "85299999"}, {"ref": "arsene011/house-price-using-torch-nn", "kernel_id": "85219205"}, {"ref": "sstashenko/house-prices-prediction-using-tfdf", "kernel_id": "85033878"}, {"ref": "userseid/house-price-regression-analysis", "kernel_id": "85981336"}, {"ref": "hirotoshisaito/house-prices-hs0625", "kernel_id": "85792933"}, {"ref": "foxeselq/kaggle-tutorial-250616-house-price", "kernel_id": "85177222"}, {"ref": "xiangli1986/house-prices-and-the-devil-in-the-model", "kernel_id": "85557450"}, {"ref": "saishanmukh74/house-price-prediction-2", "kernel_id": "85369290"}, {"ref": "sukhpreetsingh01/slr-on-houses-dataset", "kernel_id": "85947353"}, {"ref": "kaleemullahsyed/house-price-prediction-regression-trees-score", "kernel_id": "85544312"}, {"ref": "rahfaysaberi/guide-to-eda", "kernel_id": "85115165"}, {"ref": "rahfaysaberi/guide-to-data-preprocessing", "kernel_id": "85221368"}, {"ref": "adiace4u/house-price-prediction-project", "kernel_id": "85812695"}, {"ref": "taigoyukisawa/house-price-ensemble", "kernel_id": "85923037"}, {"ref": "nickbirnbaum/house-price-predictor", "kernel_id": "85864550"}, {"ref": "h1noue/house-prises", "kernel_id": "85941113"}, {"ref": "imaiest/kaggle-tutorial-250616-house-price", "kernel_id": "85192776"}, {"ref": "vaishuupatil17/notebook1173b20a50", "kernel_id": "85201177"}, {"ref": "centroc2/house-prices-prediction", "kernel_id": "85741459"}, {"ref": "okyashgajjar/house-price-prediction", "kernel_id": "85438423"}, {"ref": "akifk9610/data-science-house", "kernel_id": "85941150"}, {"ref": "zubiyasuman/house-price-prediction-capstone-project", "kernel_id": "85795618"}, {"ref": "zakiyff/post-review-prediction-house-prices", "kernel_id": "86143217"}, {"ref": "aidarmen/feature-engineering", "kernel_id": "86567645"}, {"ref": "aidarmen/supervised-learning-regression", "kernel_id": "86572102"}, {"ref": "cham123/house-price-prediction-sklearn-xgboost", "kernel_id": "86116077"}, {"ref": "chaitanyachandra/housing-prices", "kernel_id": "86299345"}, {"ref": "sawnayhtetwin/p2-houseprice-analysis", "kernel_id": "86859190"}, {"ref": "thuandao/house-prices-prediction-eda-ml", "kernel_id": "86242564"}, {"ref": "farhaansiddiqui/xgboosthousepriceprediction", "kernel_id": "86166692"}, {"ref": "mahdimashayekhi/housing-challenge-prediction", "kernel_id": "86779257"}, {"ref": "ulugbekshernazarov/house-prices-prediction-pipeline-by-eracoding", "kernel_id": "86295461"}, {"ref": "ulugbekshernazarov/house-prices-advanced-pipeline", "kernel_id": "86295731"}, {"ref": "omaralwahsh/house-prices-advanced", "kernel_id": "86300965"}, {"ref": "venchislav/houseprices-end-to-end", "kernel_id": "86804841"}, {"ref": "awadmali/house-prices-advanced-regression-techniques", "kernel_id": "86285852"}, {"ref": "ahmetberkekaraca/house-pricing-clean-pipeline", "kernel_id": "86077659"}, {"ref": "yakupmertakan/housepriceprediction-regression", "kernel_id": "86289163"}, {"ref": "deepakraj00/stacking-with-finetuning-and-eda-regression", "kernel_id": "86434649"}, {"ref": "prishatank/house-price-prediction-using-lightgbm", "kernel_id": "86796861"}, {"ref": "harshitmishra130127/house-price-prediction-modeling-and-evaluation", "kernel_id": "86507360"}, {"ref": "hellbruh/house-prices-with-0-12-score", "kernel_id": "86126640"}, {"ref": "thearifabatool/exploratory-data-analysis-house-price-prediction", "kernel_id": "86941395"}, {"ref": "chotaanalyst/house-price-prediction-eda", "kernel_id": "86941408"}, {"ref": "ranjithnarra/linearregression-house-price", "kernel_id": "86459463"}, {"ref": "chiragadvait/house-price-prediction", "kernel_id": "86450128"}, {"ref": "arafat1746/house-price-prediction", "kernel_id": "86122508"}, {"ref": "areejelshebly/housing-price2", "kernel_id": "86343592"}, {"ref": "philippeweissbeck/house-prices-prediction-lgbm-xgboost", "kernel_id": "86390937"}, {"ref": "umeshkumarrai123/linear-regression-house-prices-corrected", "kernel_id": "86599961"}, {"ref": "simratk/simrat-csi-assignment", "kernel_id": "86492766"}, {"ref": "tejisi/linear-regression", "kernel_id": "86213948"}, {"ref": "ananduashok/house-prices-gradient-boosting", "kernel_id": "86868618"}, {"ref": "hritikkumar2003/house-price", "kernel_id": "86338991"}, {"ref": "muneebhassansipra/house-price-predction", "kernel_id": "86100973"}, {"ref": "irynalukysha/kaggle-learn-analyzing-and-predicting-home-sales", "kernel_id": "86630004"}, {"ref": "janishpatle/california-housing-prices", "kernel_id": "86123785"}, {"ref": "indroniel/first-shot-xgboost", "kernel_id": "86019351"}, {"ref": "indroniel/first-shot-blending-models", "kernel_id": "86332519"}, {"ref": "ahmed12998/competition-using-lgbmregressor", "kernel_id": "86299521"}, {"ref": "magedahmed41/notebook97b4841404", "kernel_id": "86046067"}, {"ref": "alsamaualalhinai/houseprice-v1", "kernel_id": "86968095"}, {"ref": "ponyliu55/house-price-prediction3", "kernel_id": "86067368"}, {"ref": "ponyliu55/house-price-predicton", "kernel_id": "86069138"}, {"ref": "rajbirahmed/house-prices-prediction", "kernel_id": "86740969"}, {"ref": "tanveersb/celebal-assignment-5-regression", "kernel_id": "86478662"}, {"ref": "shivams811/house-price-catboostregressor-scores-0-128", "kernel_id": "86261748"}, {"ref": "shivams811/house-price-prediction-xgboostregressor", "kernel_id": "86258409"}, {"ref": "shivams811/house-price-prediction-linear-regression-pca", "kernel_id": "86018992"}, {"ref": "wyb20010429/notebook1a866902fa", "kernel_id": "86360070"}, {"ref": "chiragadve/house-prices-prediction", "kernel_id": "86406539"}, {"ref": "aryanashoori/house-price-regression-advanced-technique", "kernel_id": "86248472"}, {"ref": "mdferozahmedafm/advanced-regression-on-house-prices", "kernel_id": "86299573"}, {"ref": "aymankhan555/house-price-prediction-catboost-improved", "kernel_id": "86341890"}, {"ref": "aymankhan555/house-price-prediction-simple-catboost", "kernel_id": "86115854"}, {"ref": "lrincjankai/house-prices", "kernel_id": "86234711"}, {"ref": "paramveerkaur/house-prices-prediction-advanced-regression", "kernel_id": "86544115"}, {"ref": "argennuraliev/house-prices-argen", "kernel_id": "86321628"}, {"ref": "tonyxie3/xgb-optuna-chatgpt-o3", "kernel_id": "86751756"}, {"ref": "enesalan/intelligent-pattern-matcher", "kernel_id": "86631680"}, {"ref": "luiseduardoromeroolm/saleprice-prediction-tabtransformer", "kernel_id": "86422157"}, {"ref": "alfianlazuardi/analisis-dan-prediksi-harga-rumah-di-ames-iowa", "kernel_id": "86842534"}, {"ref": "prabazhinikalirasa/258272v", "kernel_id": "86411192"}, {"ref": "prabazhinikalirasa/uom23mlmsc258272v", "kernel_id": "86410221"}, {"ref": "bharat3244m/house-prices-prediction-using-multiple-algorithms", "kernel_id": "86440234"}, {"ref": "vaibhavanand49/houseprice-prediction-using-xgbregressor", "kernel_id": "86498812"}, {"ref": "adithyanlj/house-pricing-using-regression", "kernel_id": "86973860"}, {"ref": "hadikp/house-price-prediction-advanced", "kernel_id": "86726858"}, {"ref": "mohamedhussienai/house-price-predication-linear-regression", "kernel_id": "86571447"}, {"ref": "rahimak/kaggle-housing-challenge", "kernel_id": "86282235"}, {"ref": "sara2652000/linear-regression", "kernel_id": "86044642"}, {"ref": "mahmouds11111/notebookc685a28dc5", "kernel_id": "86051055"}, {"ref": "mosaicstat/notebookc07bd36259", "kernel_id": "86173774"}, {"ref": "mosaicstat/house-price-tuned", "kernel_id": "86591860"}, {"ref": "dharaneeshkumark/house-price-prediction-using-linear-regression", "kernel_id": "86287059"}, {"ref": "sayeedhasan00/notebook7ee15b2a17", "kernel_id": "86540548"}, {"ref": "eng3laa/notebookc05ec1b875", "kernel_id": "86701230"}, {"ref": "kirillkuznetsov/house-prices", "kernel_id": "87691530"}, {"ref": "aritropal/housing-prices-advanced", "kernel_id": "87457660"}, {"ref": "melihemin/lightgbm-houseprice", "kernel_id": "87423948"}, {"ref": "kntkjtr/best2-0718-lgbm-cv-best", "kernel_id": "87332829"}, {"ref": "oliverchamberlain/submission-xgb-feats-log", "kernel_id": "87052557"}, {"ref": "amineipad/advanced-regression-test", "kernel_id": "87443033"}, {"ref": "jpvargas/challenge-house-prices", "kernel_id": "87788020"}, {"ref": "thomasmastowski/tm-house-prices-v01", "kernel_id": "87709554"}, {"ref": "thomasmastowski/tm-house-prices-submission-v01", "kernel_id": "87728258"}, {"ref": "doronfingold/house-prices", "kernel_id": "87624326"}, {"ref": "miraczorlu/emlak-yar-mas", "kernel_id": "87283130"}, {"ref": "elenaryashchentceva/house-prices-starter-notebook", "kernel_id": "87618093"}, {"ref": "vandanapathania/house-prices-advanced-regression-techniques", "kernel_id": "87061437"}, {"ref": "himankpatidar/house-price", "kernel_id": "87286002"}, {"ref": "madhavareddy09/top-3-in-house-prediction", "kernel_id": "87615629"}, {"ref": "parthavik/house-prices-advanced-regression", "kernel_id": "87292453"}, {"ref": "mati12/house-prices", "kernel_id": "87472691"}, {"ref": "devendracode/kaggle-competition-house-prices", "kernel_id": "87283311"}, {"ref": "alexandernord123/house-prices-xgboost", "kernel_id": "87079407"}, {"ref": "azharuddin112/house-prices-advanced-regression-techniques", "kernel_id": "87406324"}, {"ref": "theallkeeeymist/house-prices-prediction", "kernel_id": "87995859"}, {"ref": "str1k3rfl0/eda-boosters", "kernel_id": "87070473"}, {"ref": "amirsadrnia/house-prices", "kernel_id": "87223305"}, {"ref": "imranshaikh1234/ames-housing-eda", "kernel_id": "87132997"}, {"ref": "phiparth/housepricing", "kernel_id": "87492251"}, {"ref": "judespellacy2/notebooka2b71290da", "kernel_id": "87959487"}, {"ref": "sezginkyle/house-prices-one-hot-encoding", "kernel_id": "87852692"}, {"ref": "jrowe144/boston-house-prices-19jul2025", "kernel_id": "87427440"}, {"ref": "dukezhu/house-prices-prediction-summary-notes", "kernel_id": "87485349"}, {"ref": "canakikol/house-price-prediction", "kernel_id": "87528382"}, {"ref": "antonglushko1/price-predictions", "kernel_id": "87714153"}, {"ref": "hammadbhatti09/notebooke2716e69a4", "kernel_id": "87533376"}, {"ref": "brhanzelalem1kaggle/house-prices-prediction-using-pytorch", "kernel_id": "87067081"}, {"ref": "vinayakchavan2002/house-price-prediction-ensemble-of-lasso-gboost", "kernel_id": "87242303"}, {"ref": "nelsonvikou/tpot-automatic-machine-learning-house-prices", "kernel_id": "87216249"}, {"ref": "anshagarwal2616/house-pricing-hackathon", "kernel_id": "87269884"}, {"ref": "shinoharatsukasa/notebook4126d184e7", "kernel_id": "87837327"}, {"ref": "manabashirouto/notebook11e3432239", "kernel_id": "87837684"}, {"ref": "easygoingjellyfish/notebookca0c36cfe6", "kernel_id": "87679127"}, {"ref": "manatoyasuhara/data-science-house-18bce7", "kernel_id": "87837869"}, {"ref": "havalrasheed/house-pricing", "kernel_id": "87118298"}, {"ref": "emadyagn/house-prices", "kernel_id": "87118540"}, {"ref": "adamelnour/notebook0a1befbabe", "kernel_id": "87209773"}, {"ref": "mazenabokersha/house-prices-2-ipynb", "kernel_id": "87289439"}, {"ref": "osamaaraar/hause-prices-da", "kernel_id": "87172507"}, {"ref": "mosaicstat/fork-of-house-price-tuned", "kernel_id": "87093350"}, {"ref": "priyanshusingh44/house-price-predictor", "kernel_id": "87463231"}, {"ref": "oxspaceman/house-price-prediction-lgbm", "kernel_id": "87065172"}, {"ref": "felixfaruix/price-prediction-advanced-stacking-tutorial", "kernel_id": "87480871"}, {"ref": "jay987123/notebook2440680cd7", "kernel_id": "87001415"}, {"ref": "paijolemu/house-prices-starter-notebook", "kernel_id": "87143233"}, {"ref": "simranbartwal/notebook00331283c0", "kernel_id": "87841967"}, {"ref": "safirawolfgang/notebooka6fff032d1", "kernel_id": "87376922"}, {"ref": "fatmashrife/notebook502882ffb8", "kernel_id": "87433375"}, {"ref": "austinsalgat/house-prices-competition", "kernel_id": "88617409"}, {"ref": "lranario/house-prices-first-attempt", "kernel_id": "88067450"}, {"ref": "rajeshtudu/house-prices-advanced-regression-techniques", "kernel_id": "88188532"}, {"ref": "m0hamedsaber/house-prices-adv-ensebmle", "kernel_id": "88511053"}, {"ref": "khushi7097/lab-work", "kernel_id": "88438822"}, {"ref": "riomario/house-pricing-predictions", "kernel_id": "88987172"}, {"ref": "tayyabellahi/comprehensive-data-exploration-with-python", "kernel_id": "88272736"}, {"ref": "thomasmastowski/tm-house-prices-v04", "kernel_id": "88725764"}, {"ref": "thomasmastowski/tm-house-prices-v03", "kernel_id": "88148889"}, {"ref": "thomasmastowski/tm-house-prices-submission-v03", "kernel_id": "88298205"}, {"ref": "thomasmastowski/tm-house-prices-submission-v04", "kernel_id": "88796457"}, {"ref": "yaninakostiv/eda-house-prices", "kernel_id": "88387354"}, {"ref": "vanjulmaheshwari2004/feature-engineering", "kernel_id": "88885725"}, {"ref": "kylimcqueen/housepricesadvancedregression", "kernel_id": "88244764"}, {"ref": "deveshchoudhury/notebook600118fb92", "kernel_id": "88983811"}, {"ref": "hoparkjh/week-3-assignment", "kernel_id": "88677349"}, {"ref": "minsung813/challenge-house-price", "kernel_id": "88750973"}, {"ref": "quiirkycodes/housing-problem", "kernel_id": "88888513"}, {"ref": "elenaryashchentceva/ridge-model", "kernel_id": "88162190"}, {"ref": "berilkln/house-price-prediction", "kernel_id": "88504060"}, {"ref": "sbmshukla/house-prices-advanced-regression-techniques", "kernel_id": "88471086"}, {"ref": "aranyajana01/data-preprocessing-for-predicting-house-prices", "kernel_id": "88269583"}, {"ref": "aranyajana01/house-prices-advanced-regression-techniques", "kernel_id": "88270610"}, {"ref": "abirbouhajja3/house-sale-price-predictions", "kernel_id": "88390074"}, {"ref": "maham9/house-pricing", "kernel_id": "88356275"}, {"ref": "theallkeeeymist/handling-test-data", "kernel_id": "88012032"}, {"ref": "harshrajsahu007/house-prices-overall-eda", "kernel_id": "88122389"}, {"ref": "aroojfatima04/houses-price-prediction", "kernel_id": "88367340"}, {"ref": "mohammadrezaf/house-prices-advanced-regression-techniques", "kernel_id": "88062145"}, {"ref": "devbchoudhary/house-price-competion", "kernel_id": "88866775"}, {"ref": "rodionyeltsoff/house-prices-regression", "kernel_id": "88458585"}, {"ref": "akiraxrd/house-price-regression-using-jax-flax", "kernel_id": "88508732"}, {"ref": "dhirajagrawal06/house-pricing-dataset-prediction-1", "kernel_id": "88074042"}, {"ref": "aneevinay/house-price-prediction", "kernel_id": "88648758"}, {"ref": "albab12/score-0-11890-housing-prices-solution", "kernel_id": "88979289"}, {"ref": "octopuscurry/kaggle-study-4rd-house-price", "kernel_id": "88800277"}, {"ref": "adelsobhyy/kaggle-house-prices-top-12-solution", "kernel_id": "88805210"}, {"ref": "kospintr/house-prices-pca-svr-rfr-gbr-xgb-ada-ensemble", "kernel_id": "88969154"}, {"ref": "ian26460/notebookae5796ea81", "kernel_id": "88269685"}, {"ref": "rezguimohamedmotaz/house-prices", "kernel_id": "88198762"}, {"ref": "alisalmanrana/house-prices-advanced-regression-techniques-last", "kernel_id": "88009910"}, {"ref": "nataliasirt/ridge-model-natalia", "kernel_id": "88166280"}, {"ref": "yanivyyyyyy/matala4", "kernel_id": "88286771"}, {"ref": "riddhimaiti/house-prices-advanced-regression-with-eda", "kernel_id": "88093616"}, {"ref": "kangziyun/housev", "kernel_id": "88638191"}, {"ref": "zorornoa/housepriceadvanced", "kernel_id": "88437962"}, {"ref": "a7medelattar/house-eda-linear", "kernel_id": "88741192"}, {"ref": "reeeeei13/lightgbm", "kernel_id": "88758785"}, {"ref": "lkerlker212/house-price-forecast", "kernel_id": "88195750"}, {"ref": "jirathtaweesethsook/linear-regression-ridge-my-first-ml", "kernel_id": "88318836"}, {"ref": "shashankapuranika/house-prediction-model", "kernel_id": "88371124"}, {"ref": "shashankapuranika/advanced-price-regression-model", "kernel_id": "88429420"}, {"ref": "marwandawoud/house-prices-prediction-data-preprocessing-feat", "kernel_id": "88168102"}, {"ref": "zphhhh/notebook11dab4ff8d", "kernel_id": "88367729"}, {"ref": "yangfanc/house-prices-prediction-using-regression", "kernel_id": "88460819"}, {"ref": "javrou/house-prices", "kernel_id": "88731254"}, {"ref": "sonuts/house-pricing-using-linear-regression", "kernel_id": "88899178"}, {"ref": "farcodenomad/house-price-prediction-advanced-regression-py", "kernel_id": "88569325"}, {"ref": "farcodenomad/house-price-prediction-tensorflow", "kernel_id": "88576292"}, {"ref": "okandeniz/house-price", "kernel_id": "89958860"}, {"ref": "niwayanastari/house-prices-advanced-regression-techniques", "kernel_id": "89012442"}, {"ref": "leandrocarrinho/notebook1abed9d3df", "kernel_id": "89073775"}, {"ref": "skereboi/houseprices-art-solution", "kernel_id": "89685727"}, {"ref": "dolevevenhaim/house-prices-linearregression", "kernel_id": "89620242"}, {"ref": "atharvamuley25/house-prices-advanced-regression", "kernel_id": "89535698"}, {"ref": "tareeshi/house-price-v1", "kernel_id": "89729097"}, {"ref": "thomasmastowski/tm-house-prices-v05", "kernel_id": "89404339"}, {"ref": "thomasmastowski/tm-house-prices-submission-v05", "kernel_id": "89629812"}, {"ref": "sadmanishtiak/house-prices-advanced-regression-techniques", "kernel_id": "89484468"}, {"ref": "pothulaajay/ajaypothula-linearregression", "kernel_id": "89123673"}, {"ref": "skanx7/house-prices-predictions-xgboost", "kernel_id": "89565221"}, {"ref": "behiyebedir/house-price-prediction-linear-vs-ridge-regression", "kernel_id": "89041772"}, {"ref": "amjiths/house-sale-price-data-analysis-and-modelling", "kernel_id": "89478555"}, {"ref": "hoparkjh/kaggle-assignment-4", "kernel_id": "89284236"}, {"ref": "spggaming/house-price-prediction-using-best-parameters", "kernel_id": "89217471"}, {"ref": "firozmahmudshamim/10-featurelinearregression", "kernel_id": "89287263"}, {"ref": "firozmahmudshamim/linearhouseprice-byshamim", "kernel_id": "89183417"}, {"ref": "moustafamohamed01/kaggle-house-prices", "kernel_id": "89620210"}, {"ref": "tanmaymishra3124/houseprices", "kernel_id": "89537037"}, {"ref": "serayparlak/houseprices-decisiontree", "kernel_id": "89263078"}, {"ref": "ahmedfaruk07/notebook8583de4dc9", "kernel_id": "89174256"}, {"ref": "iayushanand/hppp2", "kernel_id": "89410532"}, {"ref": "njuspy/house-prices-tfdf", "kernel_id": "89293552"}, {"ref": "njuspy/house-prices-2", "kernel_id": "89319282"}, {"ref": "melikadastgiry/house-price-data-science", "kernel_id": "89541750"}, {"ref": "ahmetcod25/ev-fiyat-tahmini", "kernel_id": "89617555"}, {"ref": "vakyapentaboina/house-prices-advanced-regression-project", "kernel_id": "89358366"}, {"ref": "jeettandel/ml-lab-3", "kernel_id": "89895579"}, {"ref": "ouzhankarl/linear-regression-assignment-house-prices", "kernel_id": "89778642"}, {"ref": "tirthdalal/tutorial-k-fold-cross-validation", "kernel_id": "89723007"}, {"ref": "zonoonjlalmelsadeg/house", "kernel_id": "89099456"}, {"ref": "harshme3hta/house-prices-adv-reg-notebook", "kernel_id": "89025313"}, {"ref": "arayzwasti/house-price-prediction", "kernel_id": "89243760"}, {"ref": "arayzwasti/house-pricing-competition", "kernel_id": "89233397"}, {"ref": "hemavarshitharohi/housing-notebook", "kernel_id": "89731982"}, {"ref": "suhaniacharyasvnit/suhani-ml-assignement3", "kernel_id": "89939939"}, {"ref": "trabucoox/house-prices-competition", "kernel_id": "89038019"}, {"ref": "sameenmubashar19/house-price-predictor-models-visuals", "kernel_id": "89794251"}, {"ref": "kratipandya/predict-house-prices", "kernel_id": "90416197"}, {"ref": "aasimansari/housing-prices-catboost-v-lightgbm-v-xgboost", "kernel_id": "90899530"}, {"ref": "bodiijhjhbn/notebook2f8d549b2e", "kernel_id": "90354495"}, {"ref": "devilslab/house-prices-predictions", "kernel_id": "90343188"}, {"ref": "ronakvaghasiya/house-prices", "kernel_id": "90126435"}, {"ref": "mahmoudmtamer/advanced-data-processing-house-prices", "kernel_id": "90926439"}, {"ref": "tyreinkim/houseprices", "kernel_id": "90080339"}, {"ref": "omarahmedfawzynasr/notebookab67e2c809", "kernel_id": "90351180"}, {"ref": "reyhannandita/house-price-prediction", "kernel_id": "90986465"}, {"ref": "ayomide2000/fork-of-genzluv", "kernel_id": "90941948"}, {"ref": "ayomide2000/genzluv", "kernel_id": "90439867"}, {"ref": "thomasmastowski/tm-house-prices-v06", "kernel_id": "90166168"}, {"ref": "thomasmastowski/tm-house-prices-submission-v06", "kernel_id": "90165260"}, {"ref": "angkul/lab-3-assignment", "kernel_id": "90673164"}, {"ref": "kaunghsethein/house-prices-prediction-ds-1", "kernel_id": "90852827"}, {"ref": "minanabil11111212/house-prices-advanced-regression-techniques", "kernel_id": "90571375"}, {"ref": "mehmetburakalbayrak/house-prices-machinelearning-rf-xgb", "kernel_id": "90638638"}, {"ref": "garvsachdeva0205/house-prices-eda-and-machine-learning", "kernel_id": "90997025"}, {"ref": "jubido/house-prices-visualisations-ds", "kernel_id": "90849437"}, {"ref": "ayhembouker/house-price-prediction-beginner-s-notebook", "kernel_id": "90934765"}, {"ref": "hasankaln/houseprices", "kernel_id": "90602490"}, {"ref": "ziwoo3244/feature-engineering-for-house-prices", "kernel_id": "90994007"}, {"ref": "ahmadshahzad24/house-price-prediction", "kernel_id": "90571941"}, {"ref": "jseo079/house-price-prediction", "kernel_id": "90024426"}, {"ref": "ayobamimike/house-price-prediction-competition", "kernel_id": "90347244"}, {"ref": "kserol/house-prices-by-almazium", "kernel_id": "90327764"}, {"ref": "karansinghchauhann/advanceregrestion-using-linear-model", "kernel_id": "90862016"}, {"ref": "shahdashrafrabiey/house-price-advanced", "kernel_id": "90125404"}, {"ref": "zonoonjlalmelsadeg/copy-of-haose-praise", "kernel_id": "90714808"}, {"ref": "mhasanyasin/house-prices-notebook", "kernel_id": "90634489"}, {"ref": "chinjuchandran/competition-feature-engineering-for-house-prices", "kernel_id": "90793023"}, {"ref": "mustafanafiz/house-prices-simple", "kernel_id": "90008738"}, {"ref": "muhammadhaiderijaz/ml-assignment", "kernel_id": "90569240"}, {"ref": "ifrahgul/house-price", "kernel_id": "90346684"}, {"ref": "jonathanliucboulder/housingprices", "kernel_id": "90739883"}, {"ref": "leekalok/price-prediction-w-stacked-regression", "kernel_id": "90021217"}, {"ref": "shineminkhant31/notebook-from-facebook", "kernel_id": "90683131"}, {"ref": "kyawnandathu/house-prices-visualisations-ds", "kernel_id": "90879702"}, {"ref": "yuiopy/housepirces", "kernel_id": "90601350"}, {"ref": "milo777/notebooka38ea4a82a", "kernel_id": "90677644"}, {"ref": "shmagibokuchava7/advanced-house-price-prediction", "kernel_id": "90313090"}, {"ref": "suummeiurmee/house-price", "kernel_id": "90834304"}, {"ref": "suummeiurmee/fork-of-house-price", "kernel_id": "90906678"}, {"ref": "nitin225/notebook4ffc44c664", "kernel_id": "90982121"}, {"ref": "hughchoi/optuna-kaggle-intro-comp", "kernel_id": "90729774"}, {"ref": "vietleds/house-prices", "kernel_id": "90509266"}, {"ref": "dinaalaa06/notebookbeafbfe95a", "kernel_id": "90354500"}, {"ref": "filopateersameh/notebook446aee983d", "kernel_id": "90354497"}, {"ref": "padmanabhanv/ames-housing-a-full-prediction-workflow", "kernel_id": "91506814"}, {"ref": "ofyalcin/notebook211c5fc2c5", "kernel_id": "91855784"}, {"ref": "ofyalcin/notebookd5fbaa326c", "kernel_id": "91672454"}, {"ref": "davidrpugh/cs209-lecture2a", "kernel_id": "91470779"}, {"ref": "davidrpugh/cs209-lecture2b", "kernel_id": "91531055"}, {"ref": "davidrpugh/cs209-lecture-3a", "kernel_id": "91821993"}, {"ref": "thawzinmoemyint/data-science-phase-1-visualization", "kernel_id": "91018868"}, {"ref": "alexandermarfin/housesprediction", "kernel_id": "91324299"}, {"ref": "doukansrel/regression-techniques", "kernel_id": "91509124"}, {"ref": "averyfield98/rf-regressor-house-prices-competition", "kernel_id": "91196699"}, {"ref": "daniyalatta/0-00044-score-right-now-catch-mee", "kernel_id": "91230944"}, {"ref": "daniyalatta/house-prices-best-machinelearning-rf-xgb", "kernel_id": "91216910"}, {"ref": "vivek7557/house-prices-advanced-regression", "kernel_id": "91638378"}, {"ref": "kevinrheee/home-prices-a-regression-analysis-by-kevin-r", "kernel_id": "91229663"}, {"ref": "mehmetburakalbayrak/house-prices-machinelearning-rf-xgb-v-2", "kernel_id": "91286512"}, {"ref": "garvsachdeva0205/house-prices-feature-engineering-stacking", "kernel_id": "91153188"}, {"ref": "mickhaelorehov/house-prediction-xgbregressor-0-123-rmsle", "kernel_id": "91009542"}, {"ref": "mathewsabu041123/comprehensive-data-exploration-mathew-sabu", "kernel_id": "91099462"}, {"ref": "onkardhillon/intro-to-data-viz", "kernel_id": "91881883"}, {"ref": "waarihaasim/house-prices-advanced-regression-notebook", "kernel_id": "91776328"}, {"ref": "albab12/feature-alchemy-transforming-raw-data-into-gold", "kernel_id": "91049098"}, {"ref": "anesmeftah/house-prices-improved", "kernel_id": "91677170"}, {"ref": "yangxueqi114514/price-perdiction-sub", "kernel_id": "91312847"}, {"ref": "daveli0813/house-prices-prediction", "kernel_id": "91774842"}, {"ref": "casandralandrian/2a-comprehensive-data-exploration-with-python", "kernel_id": "91430562"}, {"ref": "fatimsadixova/house-price-prediction-random-forest-model", "kernel_id": "91503533"}, {"ref": "zihaogong20/house-price-submission", "kernel_id": "91921774"}, {"ref": "divijaraychaudhuri/house-prices-advanced-regression-techniques", "kernel_id": "91154186"}, {"ref": "ufukckose/top50-leaderboard-house-prices", "kernel_id": "91869225"}, {"ref": "carriesmithing/module-2a-assignment-smithing", "kernel_id": "91137476"}, {"ref": "adelphitonynguyen/comprehensive-data-exploration-with-python", "kernel_id": "91511128"}, {"ref": "sourane/first-notebook-house-prices-advanced-regres", "kernel_id": "91389520"}, {"ref": "mustafayk06/house-prices", "kernel_id": "91152545"}, {"ref": "jarrednavarro/comprehensive-data-exploration-with-python", "kernel_id": "91288931"}, {"ref": "alinahassan14/comprehensive-data-exploration-with-python", "kernel_id": "91269559"}, {"ref": "christophersciortino/comprehensive-data-exploration-with-python", "kernel_id": "91512072"}, {"ref": "faithmock/comprehensive-data-exploration-with-python", "kernel_id": "91511924"}, {"ref": "justinseiter/comprehensive-data-exploration-with-python", "kernel_id": "91692426"}, {"ref": "msohaibsiddiqui/house-prices-advanced-regression-techniques", "kernel_id": "91955791"}, {"ref": "antoninmarie/house-prices-prediction-lasso-ridge-lightgbm", "kernel_id": "91861143"}, {"ref": "ghazaledivsalar/classassignment-housepriceprediction", "kernel_id": "91878279"}, {"ref": "ghazaledivsalar/classassignment", "kernel_id": "91877794"}, {"ref": "fizafizafiza/house-price-prediction", "kernel_id": "91978881"}, {"ref": "vanifatania01/notebook4597bf5202", "kernel_id": "91880780"}, {"ref": "arpit96/robust-regression-techniques-ames-house-price", "kernel_id": "92398909"}, {"ref": "nidakhaerunnisa/house-prices", "kernel_id": "92929985"}, {"ref": "howdylin/notebook282ae05533-score-0-12375", "kernel_id": "92817215"}, {"ref": "huongnguyn/notebook0988fd71f0", "kernel_id": "92047197"}, {"ref": "vuducminh211/house-prices-challenge-notebooks", "kernel_id": "92110397"}, {"ref": "sabamadadi/house-prices-prediction-using-tfdf", "kernel_id": "92490827"}, {"ref": "rohitkauri/housing-price-prediction", "kernel_id": "92059611"}, {"ref": "dafolabi/house-prices-prediction-using-ml", "kernel_id": "92986029"}, {"ref": "ayomide2000/knoll", "kernel_id": "92753465"}, {"ref": "pabloseoanetemprano/house-price-prediction-gb", "kernel_id": "92304253"}, {"ref": "swaroopadola/house-prices", "kernel_id": "92926952"}, {"ref": "pranabbh09/house-price", "kernel_id": "92667635"}, {"ref": "kimjinseo1/housepriceprediction", "kernel_id": "92999327"}, {"ref": "khaireddinearbouch/advanced-regression-techniques-house-prices", "kernel_id": "92463890"}, {"ref": "sula123/house-regression", "kernel_id": "92523791"}, {"ref": "yusufilgaz/house-prices-binning-interaction-features", "kernel_id": "92497861"}, {"ref": "iitbbs24hrj/house-price-prediction", "kernel_id": "92487495"}, {"ref": "correia04/house-pricing-project-notebook", "kernel_id": "92568879"}, {"ref": "noha1mohammed/house-prices-prediction-xgb", "kernel_id": "92427170"}, {"ref": "uzerera/houseprices-datapreprocessing-evaluatingmodels", "kernel_id": "92442002"}, {"ref": "ahmetcanberkunal/house-price-predict-price-xgboost-random-forest", "kernel_id": "92914947"}, {"ref": "raffirabbani/house-prices-advanced-regression-techniques", "kernel_id": "92688952"}, {"ref": "masumabdullah/house-price-prediction-advanced-regression", "kernel_id": "92067906"}, {"ref": "magentism99/module-1-practical-ml-house-prices", "kernel_id": "92739427"}, {"ref": "zuhanadeemnawaz/house-price-prediction-xgboost", "kernel_id": "92719089"}, {"ref": "melanyabella/comprehensive-data-exploration-with-python-cbec83", "kernel_id": "92505507"}, {"ref": "leahmathew/comprehensive-data-exploration-with-python", "kernel_id": "92312541"}, {"ref": "kaaranraahuls/comprehensive-data-exploration-with-python", "kernel_id": "92286795"}, {"ref": "shreymishr/ames-housing-step-by-step-beginner-approach", "kernel_id": "92610096"}, {"ref": "dylannjp/notebook716a5f362a", "kernel_id": "92477482"}, {"ref": "christophertung/regularized-linear-models", "kernel_id": "92596651"}, {"ref": "ofyalcin/notebook0b4ec10e3c", "kernel_id": "93450323"}, {"ref": "ofyalcin/notebooka0777c4841", "kernel_id": "93450946"}, {"ref": "mahymohamed/tut-2", "kernel_id": "93097774"}, {"ref": "naveenreddy9182/amehousepriceseda", "kernel_id": "93952866"}, {"ref": "sanjeevvgoudar/sol-house-prices-advanced-regression-techniques", "kernel_id": "93893888"}, {"ref": "himanshuupadhyay06/notebook-house-price-prediction-top-80-rank", "kernel_id": "93850595"}, {"ref": "himanshuupadhyay06/notebook-house-price-competition", "kernel_id": "93825546"}, {"ref": "shubhpathak0614/ml-fundamentals", "kernel_id": "93125805"}, {"ref": "yunsuxiaozi/houseprices-yunbase", "kernel_id": "93237910"}, {"ref": "mokshithairagamreddy/notebooka08fc06ec2", "kernel_id": "93192280"}, {"ref": "samwangz/notebookf8df4c53bf", "kernel_id": "93191888"}, {"ref": "pradines/house-price", "kernel_id": "93127797"}, {"ref": "wesleymeyer/notebookd7e5a6094d", "kernel_id": "93462215"}, {"ref": "samaaboelala/tut-2", "kernel_id": "93359631"}, {"ref": "hemavarshni/housing-prices", "kernel_id": "93844138"}, {"ref": "jadynncrubel/notebook99b9f4cdc1", "kernel_id": "93556970"}, {"ref": "blakebehrens/blake-behrens-housing-notebook", "kernel_id": "93191386"}, {"ref": "akshaygundaras/comprehensive-data-exploration-with-python", "kernel_id": "93080701"}, {"ref": "tihon2010/house-prices-0-12442", "kernel_id": "93266724"}, {"ref": "karim3ehab/house-prices", "kernel_id": "93119143"}, {"ref": "chn0kr/house-price-homework", "kernel_id": "93632516"}, {"ref": "arghadipmanna/house-price-prediction-regression", "kernel_id": "93502597"}, {"ref": "yusufilgaz/house-prices-rf-regression-feature-importance", "kernel_id": "93259476"}, {"ref": "supermeedoo/house-prices", "kernel_id": "93444761"}, {"ref": "adityaj3009/house-price", "kernel_id": "93122996"}, {"ref": "aliabozahra315/eda-house-prices", "kernel_id": "93851962"}, {"ref": "jieuna1/house-prices-prediction-with-ensemble-learning", "kernel_id": "93532299"}, {"ref": "nickmesserges/notebook9ab05ff516", "kernel_id": "93526751"}, {"ref": "manaspurandare/notebook8801997708", "kernel_id": "93625730"}, {"ref": "adamjennissen/notebook70df1f7590", "kernel_id": "93616581"}, {"ref": "rajathiagaraj/house-price-07oct-advregr", "kernel_id": "93977140"}, {"ref": "pranava007/msspranavasai-lab4", "kernel_id": "93207104"}, {"ref": "biswaskhatiwada/lab4ai2010", "kernel_id": "93963091"}, {"ref": "murtazaabdullah2010/house-price-regression-ml", "kernel_id": "93142898"}, {"ref": "hrishikeshuchake/notebook81c4c77352", "kernel_id": "93611094"}, {"ref": "rizkifirman/machine-learning-mabe-challange-mouse-social", "kernel_id": "93346676"}, {"ref": "nikhitanallu/housing-prediction", "kernel_id": "93742001"}, {"ref": "phillipgiametta/notebook8c8e93b9da", "kernel_id": "93618486"}, {"ref": "ankit02yadav/house-price-prediction-ankit02yadav", "kernel_id": "93166792"}, {"ref": "rekhsharathchandra/house-price-pridiction", "kernel_id": "93556745"}, {"ref": "muhammadsheerazf/house-prices-predicon-using-tfdf", "kernel_id": "93175213"}, {"ref": "trumanfolkers/notebookbd90e7fd5c", "kernel_id": "93191496"}, {"ref": "benjamineschman/house-price-prediction", "kernel_id": "93194707"}, {"ref": "maxmason04/ames-houses-draft-1", "kernel_id": "93191627"}, {"ref": "dylanascher2845/notebook3f31796ee8", "kernel_id": "93190767"}, {"ref": "itsbentacular/housepricesai2010", "kernel_id": "93193562"}, {"ref": "danieldugosh/dugosh-house-prices", "kernel_id": "93431741"}, {"ref": "brooklyntraczykk/notebookdb8be1c145", "kernel_id": "93191615"}, {"ref": "jackvanfossan/notebookca56ff3a2e", "kernel_id": "93191789"}, {"ref": "annweshonmitrabrinto/final", "kernel_id": "93714956"}, {"ref": "giancarlo4/notebook464360392c", "kernel_id": "93627497"}, {"ref": "carterscott1/lab-4", "kernel_id": "93191834"}, {"ref": "kaiakempf/house-prices-notebook-kaia", "kernel_id": "93527224"}, {"ref": "nickdire/notebook-dire", "kernel_id": "93191596"}, {"ref": "braydenwiles/notebook8072c1107c", "kernel_id": "93191743"}, {"ref": "shawnascher/notebookb1340bd31d", "kernel_id": "93192284"}, {"ref": "jensenbrehm/brehm-jensen-lab4", "kernel_id": "93191616"}, {"ref": "maximduncan/house-notebook", "kernel_id": "93192147"}, {"ref": "saiganeshkalmali/notebookef62bef0e5", "kernel_id": "93193739"}, {"ref": "paigecottrell/notebooka761379213", "kernel_id": "93191623"}, {"ref": "mnewt202/notebook8c089fbbf9", "kernel_id": "93191802"}, {"ref": "williamsterenchuk/notebook1ca71938ed", "kernel_id": "93196091"}, {"ref": "jenniferrrlinnn/lab-4-jennifer-lin", "kernel_id": "93190463"}, {"ref": "maisharchowdhury/ai2010-lab4", "kernel_id": "93191471"}, {"ref": "masongliege/lab-4-house-price-prediction", "kernel_id": "93191204"}, {"ref": "ajaylalam/lab-4-house-price", "kernel_id": "93192409"}, {"ref": "adrianordazavitia/notebook3db3a31885", "kernel_id": "93749689"}, {"ref": "lukeschwieters/notebook23b17ef2a0", "kernel_id": "93431334"}, {"ref": "rileyoshel/advanced-regression-ai2010x-oshel", "kernel_id": "93743741"}, {"ref": "benblitvich/notebookafd860f29e", "kernel_id": "93192407"}, {"ref": "emilyolp/house-price-prediction", "kernel_id": "93191450"}, {"ref": "shinypokuri5555/a1-2020-lab-4", "kernel_id": "93191754"}, {"ref": "damonlemke/notebookfff68a9af6", "kernel_id": "93207193"}, {"ref": "kinghu1111/notebook9959ea03d1", "kernel_id": "93207500"}, {"ref": "colingeach/notebook0a0f4be46f", "kernel_id": "93207212"}, {"ref": "lincolnhatlestad/notebook2e7031c578", "kernel_id": "93207178"}, {"ref": "quintincovington2003/notebook745309afcd", "kernel_id": "93621881"}, {"ref": "dennismccarville/notebook2015b5675d", "kernel_id": "93187480"}, {"ref": "nickgoodell/notebook1f6bbc2d6b", "kernel_id": "93191729"}, {"ref": "rabeeanaseer/house-prices-prediction-with-xgboost-and-feature", "kernel_id": "93264989"}, {"ref": "eliottetnier1/notebooka22d535f9a", "kernel_id": "93459519"}, {"ref": "navyyah/handling-missing-values", "kernel_id": "93920051"}, {"ref": "joeyhehr/joseph-hehr-house-prices-regression", "kernel_id": "93192766"}, {"ref": "westlyorr1/ai-2010x-kaggle-lab-4-westly-orr", "kernel_id": "93191127"}, {"ref": "hdieken/house-prices-prediction-using-tfdf-ff4fec", "kernel_id": "93191416"}, {"ref": "kerry0829/house-prices-advanced-regression", "kernel_id": "93669105"}, {"ref": "kerry0829/house-prices", "kernel_id": "93458932"}, {"ref": "lewlink/finale", "kernel_id": "93565454"}, {"ref": "kamilstaszewski/notebookb8130804ab", "kernel_id": "94779639"}, {"ref": "davidrpugh/cs209-week-6-decision-trees", "kernel_id": "94094243"}, {"ref": "tarekghajary/house-prices", "kernel_id": "94316279"}, {"ref": "ahmsag/cs-209-house-price-prediction", "kernel_id": "94377849"}, {"ref": "thawzinmoemyint/data-science-phase-2-models-randomforest", "kernel_id": "94399767"}, {"ref": "alaqsa/exploratory-data-analysis-and-modeling-house-price", "kernel_id": "94811694"}, {"ref": "nataliadyuzhina/house-prices", "kernel_id": "94393550"}, {"ref": "erenyanic/house-prices-advanced-regression-techniques", "kernel_id": "94412975"}, {"ref": "jackonia/house-price-prediction", "kernel_id": "94932764"}, {"ref": "shahriarparvezshaon/house-prices-advanced-regression-techniques", "kernel_id": "94564480"}, {"ref": "yousefeddin/xgboost-home-regressor", "kernel_id": "94918208"}, {"ref": "nourmaaita/notebook1812607736", "kernel_id": "94589882"}, {"ref": "rajeevmishraa/house-price-prediction", "kernel_id": "94725592"}, {"ref": "tsoitszkuen/house-prices-dmgroup-8", "kernel_id": "94392056"}, {"ref": "milanbhingradiya/sem-7-dl-p2", "kernel_id": "94099510"}, {"ref": "farrelad/eng-machine-learning-case-study-clustering", "kernel_id": "94988550"}, {"ref": "thiendangnn63/housing-price-prediction-using-ensemble-learning", "kernel_id": "94989903"}, {"ref": "gandomsoltani/house-prices", "kernel_id": "94033605"}, {"ref": "anuragyadav156/advance-regression-for-house-prediction", "kernel_id": "94797248"}, {"ref": "ilyassaylk/house-price-prediction-with-ensemble-models", "kernel_id": "94962268"}, {"ref": "neoguilde/house-prices-advanced-regression-techniques", "kernel_id": "94101109"}, {"ref": "ayush500/house-prices-advanced-regression-techniques", "kernel_id": "94610210"}, {"ref": "han21400/house-price-prediction-using-lightgbm", "kernel_id": "94891122"}, {"ref": "saharaml1/house-prices-prediction-tijol", "kernel_id": "94889751"}, {"ref": "madhurimahanthy/house-price-prediction-pytorch-and-tensorflow", "kernel_id": "94145683"}, {"ref": "tanmayagarwal09/notebook06f1e45b29", "kernel_id": "94824983"}, {"ref": "muhammedgk17/derin-renme-ile-ev-fiyat-tahmini", "kernel_id": "94488900"}, {"ref": "vanshbedi1/house-price-advanced-regression", "kernel_id": "94111102"}, {"ref": "fengzhihao/house-price-predict", "kernel_id": "94635980"}, {"ref": "shineminkhant31/predictionmodel", "kernel_id": "94890723"}, {"ref": "issac101/notebookb7109e35e2", "kernel_id": "94462427"}, {"ref": "adham1nassar/house-prices-cleaning-and-analysis", "kernel_id": "94019881"}, {"ref": "jorgeava99/cs209-project1-jorgevazquez", "kernel_id": "94377920"}, {"ref": "thiagovirginio/cs-209-week-6-starter-notebook", "kernel_id": "94377844"}, {"ref": "khalidjaris/khalid-siraj-cs-209-house-prices-competition", "kernel_id": "94378239"}, {"ref": "batoolahmedaleid/cs-209-week-6-starter-notebook", "kernel_id": "94378115"}, {"ref": "yazeedalroogi/cs-209-week-6-starter-notebook", "kernel_id": "94377752"}, {"ref": "hassanhizeh7/cs-209-week-6-starter-notebook", "kernel_id": "94378004"}, {"ref": "randsar/cs-209-week-6-starter-notebook", "kernel_id": "94378094"}, {"ref": "menacara/cs-209-project1-menacarafael", "kernel_id": "94732700"}, {"ref": "naifturkialotaibi/cs-209-week-6-assignment", "kernel_id": "94377998"}, {"ref": "elmaghawryisf/cs-209-week-6-starter-notebook", "kernel_id": "94828803"}, {"ref": "alimohamed216736/cs-209-week-6-starter-notebook", "kernel_id": "94378464"}, {"ref": "algorithm711/lab-work-housing-price", "kernel_id": "94003732"}, {"ref": "vyachhhh/realtor", "kernel_id": "94869371"}, {"ref": "ayahkhedr/house-price-predictions", "kernel_id": "94630486"}, {"ref": "junjanezhang/house-prices-prediction-advanced-regression-work", "kernel_id": "94970174"}, {"ref": "bishaladhikari07/house-price", "kernel_id": "94741302"}, {"ref": "tomokazuhonda/linearregression1", "kernel_id": "94816911"}, {"ref": "hdieken/notebook553415eb68", "kernel_id": "94058328"}, {"ref": "mockingbirdovo/mlp-prediction", "kernel_id": "94766972"}, {"ref": "ezzaldeenalhamoodi/notebookc444dcff20", "kernel_id": "94526525"}, {"ref": "cashfeg/simple-sample-harada", "kernel_id": "95256681"}, {"ref": "cashfeg/log-sample-harada", "kernel_id": "95277600"}, {"ref": "cashfeg/numeric-sample-harada", "kernel_id": "95305812"}, {"ref": "mirjanoffice/detailed-exploratory-data-analysis-with-python", "kernel_id": "95111612"}, {"ref": "salahuddinahmedshuvo/houseprices-advance-regression-techniques", "kernel_id": "95172900"}, {"ref": "asmailabdulkarim/house-prices-final", "kernel_id": "95291950"}, {"ref": "hadjahmed/cs-209-week-6-starter-notebook", "kernel_id": "95739846"}, {"ref": "brucemcgoose/cs-209-week-6-youssef", "kernel_id": "95045096"}, {"ref": "tamnguyenm/notebookc59f65ba16", "kernel_id": "95187916"}, {"ref": "vijayj0shi/house-price-prediction-oct-2025", "kernel_id": "95465409"}, {"ref": "jawharfrih/ml-project1-house-pricing", "kernel_id": "95919508"}, {"ref": "insyirahazman/house-prices-prediction-with-ensembles", "kernel_id": "95365537"}, {"ref": "silamine/hw-notebook", "kernel_id": "95772044"}, {"ref": "saadjawad/cs-209-week-6-starter-notebook", "kernel_id": "95755196"}, {"ref": "hoanggvo/notebook-house-price-prediction-top-80-rank", "kernel_id": "95213015"}, {"ref": "raymoa/kaggle-competition", "kernel_id": "95611658"}, {"ref": "lalala0321/tjuwork2", "kernel_id": "95893751"}, {"ref": "muhammadriaz72/house-prices-advanced-regression-techniques", "kernel_id": "95023710"}, {"ref": "inhunhbo/house-price-prediction", "kernel_id": "95346067"}, {"ref": "simgesahiner/icsi-401-data-science-project", "kernel_id": "95423813"}, {"ref": "sanikaannadate/housing-prices-model-training", "kernel_id": "95163452"}, {"ref": "arunbajor/house-prices-prediction", "kernel_id": "95891018"}, {"ref": "kauscmrt/notebook", "kernel_id": "95898063"}, {"ref": "edauski/mynotebook", "kernel_id": "95871978"}, {"ref": "risaujihara/housing-price", "kernel_id": "95310963"}, {"ref": "billxi/house-price-regression", "kernel_id": "95076928"}, {"ref": "josephe65/projectk-group8", "kernel_id": "95541701"}, {"ref": "kentarokujo/houseprice-competition", "kernel_id": "95472338"}, {"ref": "rayanshahzad/house-price-prediction-cs209", "kernel_id": "95995804"}, {"ref": "ashhadm785/cs-209-week-6-submission", "kernel_id": "95508045"}, {"ref": "alsaiariabdulrahman/cs-209-week-6-starter-submission", "kernel_id": "95729778"}, {"ref": "ahmedfelemban/ahmed-felemban-houseprices-predictor", "kernel_id": "95061583"}, {"ref": "itzelalcalrivas/hw1-runtime-less-than-1hr-c", "kernel_id": "95800916"}, {"ref": "fazilkamar/cs-209-week-6-starter-1", "kernel_id": "95040412"}, {"ref": "farruq/faruk-aydin-cs209-house-prices-predictions", "kernel_id": "95607160"}, {"ref": "shaymaamahmoud/cs-209-week-6-starter-notebook", "kernel_id": "95739816"}, {"ref": "fhakimihsan/218795-fadl-lul-hakim-209-week-6-starter-notebook", "kernel_id": "95978224"}, {"ref": "sondosquqandi/cs-209-week-6-starter-notebook", "kernel_id": "95146937"}, {"ref": "malostaz123/cs209-hw-ma", "kernel_id": "95963987"}, {"ref": "ateneya/house-spices-test", "kernel_id": "95210374"}, {"ref": "knuckles666666/house-prices", "kernel_id": "95208750"}, {"ref": "tomokazuhonda/linearregression", "kernel_id": "95752870"}, {"ref": "toripee/torii-part2", "kernel_id": "95892804"}, {"ref": "akai2001/simple-sample-harada-akai", "kernel_id": "95883000"}, {"ref": "yarukikun/simple-sample-harada-yama", "kernel_id": "95316632"}, {"ref": "somiyano/numeric-sample-harada", "kernel_id": "95322234"}, {"ref": "yukiikuka/yuki-data", "kernel_id": "95316649"}, {"ref": "kazuhiroyogo/simple-sample-harada", "kernel_id": "95360012"}, {"ref": "ryusukeurabe/simple-ura", "kernel_id": "95316812"}, {"ref": "asyaaatru/sale-price-as-detailed-as-possible", "kernel_id": "95129375"}, {"ref": "cashfeg/combine-harada", "kernel_id": "96327692"}, {"ref": "zakiyff/review-analysis-kaggle-house-prices-solutions", "kernel_id": "96967377"}, {"ref": "nsaideva/housing-prices-competition", "kernel_id": "96012959"}, {"ref": "ehsanesmaeili/house-price-prediction-eda-pp-modeling", "kernel_id": "96184962"}, {"ref": "natiqali/notebook5d6949fa72", "kernel_id": "96000975"}, {"ref": "ricky5932/zh-tw-house-prices-prediction-using-tfdf", "kernel_id": "96786944"}, {"ref": "supriya21k/predicting-house-prices-using-regression", "kernel_id": "96620636"}, {"ref": "spikeybarbs/advanced-housing-prices-basic-pipeline-kfold", "kernel_id": "96360243"}, {"ref": "thomasmyrseth/house-price-competition-xgboost", "kernel_id": "96603469"}, {"ref": "khtibrabab/house-prices-advanced-regression-techniques", "kernel_id": "96658190"}, {"ref": "atifkhan12/house-price-prediction-regression-techniques", "kernel_id": "96552821"}, {"ref": "kylepineiro/house-prices-competition-model-tuning", "kernel_id": "96749344"}, {"ref": "erizogordito/house-inspired-by-book", "kernel_id": "96060875"}, {"ref": "rajathiagaraj/hp-advreg-26oct2025", "kernel_id": "96599572"}, {"ref": "rajathiagaraj/hp-advreg-28oct2025", "kernel_id": "96874529"}, {"ref": "manyasinghal912/bayesian-inference", "kernel_id": "96646774"}, {"ref": "alexandermaitken/house-prices-multiple-linear-regression", "kernel_id": "96777840"}, {"ref": "oromoalex/house-prices-advanced-regression-techniques", "kernel_id": "96642930"}, {"ref": "amyxiong16/predicting-property-value-appreciation", "kernel_id": "96129338"}, {"ref": "shilljinglza/te-zheng-gong-chen", "kernel_id": "96318728"}, {"ref": "emilythao/notebook7cc8b8b0dd", "kernel_id": "96186270"}, {"ref": "taibazeya001/cs-209-week-6-starter-notebook", "kernel_id": "96047050"}, {"ref": "anushka8921/aiml-ds-training-test", "kernel_id": "96767200"}, {"ref": "yasutana444/simple-sample-tanakaya", "kernel_id": "96773494"}, {"ref": "mamiya00/ms-01", "kernel_id": "96795271"}, {"ref": "yuumasumizu/simple-masu5", "kernel_id": "96053032"}, {"ref": "soichiroshido/house-prices-shido-ddlab3-lgb", "kernel_id": "96070682"}, {"ref": "ryusukeurabe/urabe01", "kernel_id": "96904805"}, {"ref": "homer1774/fork-of-house-prices-prediction-a11fc7", "kernel_id": "96350309"}, {"ref": "hexagontal/houseprice-competition", "kernel_id": "96006236"}, {"ref": "arkkiyel/house-price-competition", "kernel_id": "96078932"}, {"ref": "xiacongyao/notebookf33ecb77f2", "kernel_id": "96100903"}, {"ref": "aleehamza/darkhorse-house-price", "kernel_id": "97396633"}, {"ref": "mboumbadondedieu/house-price-prediction", "kernel_id": "97993226"}, {"ref": "l1chtsp3ar/house-prices-prediction-using-nn", "kernel_id": "97943792"}, {"ref": "charlieshi46/notebook599015ee24", "kernel_id": "97088926"}, {"ref": "mervesevinc/home-prices", "kernel_id": "97236616"}, {"ref": "haticeacaryldrm/ds19-ml1-case-house-price-model", "kernel_id": "97828900"}, {"ref": "wikm360/house", "kernel_id": "97861615"}, {"ref": "feyzayildizz/ev-fiyat-tahmini-catboost", "kernel_id": "97911624"}, {"ref": "khoipham305/house-price-prediction", "kernel_id": "97624917"}, {"ref": "mitchwang/notebook677a476edf", "kernel_id": "97597983"}, {"ref": "quangnguynv/using-multi-layer-perceptron-no-torch-and-sklearn", "kernel_id": "97441359"}, {"ref": "marziyeamini/notebook84bb98a607", "kernel_id": "97216239"}, {"ref": "vasudevtalaviya/advance-regression-complete-pipeline", "kernel_id": "97206243"}, {"ref": "sofiyanshaik/all-ml-algos-updated-to-new-version", "kernel_id": "97116394"}, {"ref": "bahadryenikurtulu/housing-prices-regression-test", "kernel_id": "97699417"}, {"ref": "takouabelwafa/notebook4c4f048ed2", "kernel_id": "97293972"}, {"ref": "ujjawalkumar86/linear-regression0", "kernel_id": "97783278"}, {"ref": "luktinlok/house-prices-advanced-regression-techniques", "kernel_id": "97362893"}, {"ref": "robasban/int-adv-ml-xgboost-gridcv-pipeline-housing", "kernel_id": "97485532"}, {"ref": "terechihssan/notebookcc907bedd3", "kernel_id": "97270557"}, {"ref": "pradhityo/notebook0c9cb50707", "kernel_id": "97308484"}, {"ref": "shiv9am/house-price-prediction-xgboost", "kernel_id": "97417549"}, {"ref": "dystopia64/house-prices", "kernel_id": "97965909"}, {"ref": "willyscorpian/house-price-prediction-imputer-models", "kernel_id": "98364996"}, {"ref": "himanshu0802/feature-engineering", "kernel_id": "98633696"}, {"ref": "jay25patel/house-prices-beginner-eda-and-ml", "kernel_id": "98228251"}, {"ref": "sahersohailkhan/house-prices-prediction-using-ann", "kernel_id": "98202523"}, {"ref": "mcubukluoz/house-prices-predicition", "kernel_id": "98294613"}, {"ref": "sachinsachanskz/research", "kernel_id": "98760376"}, {"ref": "faridaikram/tut-2-2", "kernel_id": "98640559"}, {"ref": "userpdf/notebook4343a8547f", "kernel_id": "98795934"}, {"ref": "sayudh15/house-price-prediction-2025em1100255", "kernel_id": "98383749"}, {"ref": "alwanadiuntoro/house-prices-0-124-a-pragmatic-robust-pipe", "kernel_id": "98600094"}, {"ref": "danielyeungpolyu/house-price-prediction-more-rational-pick", "kernel_id": "98473012"}, {"ref": "caffine/competition-code-b73d42", "kernel_id": "98574318"}, {"ref": "timotiuspatrick/house-price-prediction", "kernel_id": "98973276"}, {"ref": "nyeinchansoe/catboost-baseline-model", "kernel_id": "98814854"}, {"ref": "tdang2180/house-prices", "kernel_id": "98861141"}, {"ref": "pythoniccode/housing-price-advanced", "kernel_id": "98098854"}, {"ref": "muhammadusman010/house-price-prediction", "kernel_id": "98044725"}, {"ref": "aryankumar117/house-prices", "kernel_id": "98975582"}, {"ref": "ismailyahya/house-prices-prediction-advanced-regression-tech", "kernel_id": "98358198"}, {"ref": "matthewbott123/house-prices-prediction-using-tfdf", "kernel_id": "98337601"}, {"ref": "juandomingues/house-prices-advanced-regression-techniques", "kernel_id": "98374806"}, {"ref": "afr1ste/afr1ste-s-answer-for-house-price-prediction", "kernel_id": "98160852"}, {"ref": "hajarmohammed431/house-prices-prediction-using-tfdf", "kernel_id": "98506119"}, {"ref": "hei3ujl/notebook3a6d026e92", "kernel_id": "98873800"}, {"ref": "malloy444/house-prices", "kernel_id": "98411629"}, {"ref": "malloy444/notebook2fd14e08f4", "kernel_id": "98419060"}, {"ref": "malloy444/notebooke480802009", "kernel_id": "98419237"}, {"ref": "pechenka0085/notebookff7d93d1db", "kernel_id": "98413372"}, {"ref": "azizdoayekinci/housing-prices-advanced", "kernel_id": "98289370"}, {"ref": "timothyesomchieze/capstone-project-exploratory-data-analysis-and", "kernel_id": "98302501"}, {"ref": "noura28/notebook9e4a17c593", "kernel_id": "98422334"}, {"ref": "carlmcbrideellis/house-prices-using-tabpfn", "kernel_id": "99448972"}, {"ref": "ahmetekiz/automl-intro-with-autogluon-for-tabular-data", "kernel_id": "99641098"}, {"ref": "ahmetekiz/autogluon-ile-automl-giris-tabular-data-tr", "kernel_id": "99787701"}, {"ref": "afifaf20/house-prices-advance-regressor", "kernel_id": "99881252"}, {"ref": "ahmedbenazzouz/notebook65fd4762b9", "kernel_id": "99902739"}, {"ref": "afeenaks/2-house", "kernel_id": "99904338"}, {"ref": "miloszkryzia/notebook93c78a4e6b", "kernel_id": "99258231"}, {"ref": "jensond/house-prices-jenson-d", "kernel_id": "99263567"}, {"ref": "dhanush70807080/house-price-dhanush", "kernel_id": "99933266"}, {"ref": "khadijachkhichkh1/house-price-prediction-kagglecompetition-khxk-k", "kernel_id": "99429738"}, {"ref": "sandahadizah/day-1a-agent-saafe-from-prompt-to-action", "kernel_id": "99641589"}, {"ref": "kiruthikas005/house-prices-prediction", "kernel_id": "99962021"}, {"ref": "romaneyvazov/house-prices-v1-public-eda-diff-mod-0-13752", "kernel_id": "99321781"}, {"ref": "bharathpilli/my-house-price-prediction", "kernel_id": "99872041"}, {"ref": "dngthdiulinh/house-prices-prediction-using-tfdf", "kernel_id": "99838007"}, {"ref": "saiaashishravuri/notebook3363846894", "kernel_id": "99205855"}, {"ref": "tmncollins/ml-journal-4-house-price-prediction", "kernel_id": "99072726"}, {"ref": "theonakfoor/cs4650-project-4-house-prices", "kernel_id": "99195262"}, {"ref": "khushiagarwal0406/notebooke2fc69f3d6", "kernel_id": "99964989"}, {"ref": "chandinivoonna/house-prices-prediction-using-tfdf", "kernel_id": "99286240"}, {"ref": "alexmorganorg/notebook24ad2f832c", "kernel_id": "99205401"}, {"ref": "kellydjung/dsai4204-crazyg-code", "kernel_id": "99531655"}, {"ref": "decodedasad/house-prices-regression", "kernel_id": "99901060"}, {"ref": "vikasshakya12110/notebooke09d8098c3", "kernel_id": "99990962"}, {"ref": "thawzinmoemyint/data-science-phase-3-models", "kernel_id": "100430212"}, {"ref": "priyadarshirajeev/house-prices-prediction-advanced-regression", "kernel_id": "100884465"}, {"ref": "christoperhw/house-price-prediction", "kernel_id": "100929787"}, {"ref": "dzakyhilmy/house-price-prediction-2", "kernel_id": "100987637"}, {"ref": "sharmagayatri/house-prices-advanced-regression-techniques", "kernel_id": "100439119"}, {"ref": "baghestanishakila80/house-prices", "kernel_id": "100734554"}, {"ref": "hututu414/house-predict-use-new-feature-added", "kernel_id": "100932257"}, {"ref": "yangonebin/py-t1-4-expected-ques-7fe0be", "kernel_id": "100972605"}, {"ref": "shineminkhant31/final-version", "kernel_id": "100917909"}, {"ref": "hassaan2580/house-price-regression", "kernel_id": "100452895"}, {"ref": "milo777/data-science-project-final-version", "kernel_id": "100989994"}, {"ref": "milo777/final-version", "kernel_id": "100907232"}, {"ref": "maged1221/house-price", "kernel_id": "100767257"}, {"ref": "smh251/trial", "kernel_id": "100582929"}, {"ref": "manishyd8/notebook2e002997f0", "kernel_id": "100036503"}, {"ref": "anujparwal01/notebook2c8979a0d8", "kernel_id": "100011465"}, {"ref": "surajgohel/notebookd8de56e809", "kernel_id": "100136393"}, {"ref": "virottamduttraturi/notebook5d2c6ce7fd", "kernel_id": "100113939"}, {"ref": "suzy2100/house-pricing-prediction", "kernel_id": "100249255"}, {"ref": "halilsahn/hs-house-prices", "kernel_id": "100211387"}, {"ref": "assdggfgdf/house-prediction-aat", "kernel_id": "100979334"}, {"ref": "bechrisslol/house-price-prediction-using-ridge-and-xgboost", "kernel_id": "100041036"}, {"ref": "alejandrojoseph/notebook41d2525daf", "kernel_id": "100415671"}, {"ref": "rykovanov/housepricing-regression", "kernel_id": "101938995"}, {"ref": "adnenkhiari/regression-linear", "kernel_id": "101786288"}, {"ref": "clkmuhammed/houses-prices-tree-based-models", "kernel_id": "101934932"}, {"ref": "mminbaol/house-price-prediction", "kernel_id": "101573548"}, {"ref": "keshabh/housepriceprediction-advancedregression", "kernel_id": "101642728"}, {"ref": "umutcanetin/eda-and-regression-catboost-on-house-prices", "kernel_id": "101932694"}, {"ref": "haticeacaryldrm/comparishon-of-ds19-ml1-case-house-price-model", "kernel_id": "101231097"}, {"ref": "ahmedsayed0007/house-prices-prediction", "kernel_id": "101742011"}, {"ref": "rahult25/house-price-prediction-using-random-forest", "kernel_id": "101948642"}, {"ref": "cosmicescape/house-prices-lgbm-baseline-feature-engineering", "kernel_id": "101521781"}, {"ref": "shubhamss159/house-prices-ml-pipeline-and-model-inspection", "kernel_id": "101438785"}, {"ref": "baghestanishakila80/house-price1", "kernel_id": "101206526"}, {"ref": "everydaymaybe/house-prices", "kernel_id": "101643586"}, {"ref": "zheng2301/house-prices", "kernel_id": "101890890"}, {"ref": "musthofarauf/house-price-multiple-linear-regression-baseline", "kernel_id": "101905652"}, {"ref": "vishnutejapvt/notebook683653395a", "kernel_id": "101196955"}, {"ref": "yasunorim/matplotlib-seaborn", "kernel_id": "102008600"}, {"ref": "yasunorim/japanese-stacking-feature-engineering-guide", "kernel_id": "102091677"}, {"ref": "yasunorim/house-prices-feature-engineering-stacking-guide", "kernel_id": "102110713"}, {"ref": "negoto/iaa-hackathon-experiment-on-original-dataset", "kernel_id": "102785724"}, {"ref": "allisonjustice/house-prices-advanced-regression-techniques", "kernel_id": "102243647"}, {"ref": "ankushnarwade/price-prediction-using-lightgbm-rmse-0-123", "kernel_id": "102706233"}, {"ref": "andikhalil/ml9-lastgame-analisis-outlier", "kernel_id": "102777158"}, {"ref": "keshavchauhan56/house-price-prediction-ann", "kernel_id": "102659371"}, {"ref": "khajanakumar/housepricepredictionby-kk", "kernel_id": "102396710"}, {"ref": "reemgamalmahmoud/housepricesprediction", "kernel_id": "102345529"}, {"ref": "salamattolybaev/notebookfae89c2edf", "kernel_id": "102677406"}, {"ref": "devbchoudhary/house-price-competition", "kernel_id": "102632110"}, {"ref": "devbchoudhary/elastic-xgb-model", "kernel_id": "102630126"}, {"ref": "keerthanadwaraka/house-prizes", "kernel_id": "102419190"}, {"ref": "rahult25/house-prices-advanced-regression", "kernel_id": "102373938"}, {"ref": "rahult25/house-price-prediction-basic-linear-regression", "kernel_id": "102468702"}, {"ref": "sharmagayatri/regularization", "kernel_id": "102789750"}, {"ref": "reesefinch/house-price-pred", "kernel_id": "102775071"}, {"ref": "sitanshukr/house-prediction-using-regression", "kernel_id": "102066716"}, {"ref": "leezy2/tugas", "kernel_id": "102464748"}, {"ref": "jashwanththatipamula/house-prices-competition", "kernel_id": "102754715"}, {"ref": "zuieronghui/fangdichan", "kernel_id": "102641182"}, {"ref": "cccccccc12/housef65286ae5b", "kernel_id": "102790919"}, {"ref": "stellar111/house-prices-prediction-using-tfdf", "kernel_id": "102240027"}, {"ref": "czc12345/house-prices-advanced-regression-techniques", "kernel_id": "102239934"}, {"ref": "dingby999/notebook312b743b5a", "kernel_id": "102866243"}, {"ref": "dyllol/notebook1ace85ee76", "kernel_id": "102776280"}, {"ref": "zeyvwa/notebook4854b16279", "kernel_id": "102932290"}, {"ref": "wangfangmin/notebookc222", "kernel_id": "102668284"}, {"ref": "chaynelc/houseprice-prediction", "kernel_id": "102871813"}, {"ref": "htryjfjf/notebook5eb8c040f2", "kernel_id": "102957932"}, {"ref": "nolymol/notebookf012bbdd44", "kernel_id": "102601275"}, {"ref": "poomko/notebook8c06cac2d9", "kernel_id": "102726378"}, {"ref": "alpaypasali/house-price-prediction", "kernel_id": "102694880"}, {"ref": "abdulmannaan12/house-prices-top-10-feature-engineering-tricks", "kernel_id": "102929510"}, {"ref": "princess2006/data-visualization-assignment", "kernel_id": "102359955"}, {"ref": "kaswa12/kaggle-assignmnet-kaswa", "kernel_id": "102675063"}, {"ref": "dakenzo/bektasulydaulet", "kernel_id": "102818420"}, {"ref": "natashasaini/natashakaggle", "kernel_id": "102737014"}, {"ref": "gani1811/house-price-prediction", "kernel_id": "102602115"}, {"ref": "dominicogodo/house-pricing-dominic-ogodo", "kernel_id": "102993208"}, {"ref": "matteowali/brandnew-step", "kernel_id": "102279226"}, {"ref": "jonashaahr/jh-advanced-regression", "kernel_id": "102481676"}, {"ref": "aryandhingan/house-pricing", "kernel_id": "102434577"}, {"ref": "tvmilitary/house-prices-starter-baseline", "kernel_id": "102739285"}, {"ref": "tsq15013728985/notebookfddb67d3ed", "kernel_id": "102869416"}, {"ref": "tsq15013728985/notebookd475d4b0f5", "kernel_id": "102421051"}, {"ref": "krzys7007/comprehensive-data-exploration-with-python", "kernel_id": "102560729"}, {"ref": "hinepo/tool-routing-llm-pipeline", "kernel_id": "103284831"}, {"ref": "hinepo/graph-orchestrated-tool-routing-pipeline", "kernel_id": "103306637"}, {"ref": "mysha1rysh/house-price-pred-boosting-models-vs-regressors", "kernel_id": "103056012"}, {"ref": "deniszaytseff/xgb-model-fitting", "kernel_id": "103737720"}, {"ref": "deniszaytseff/model-in-use", "kernel_id": "103824564"}, {"ref": "deniszaytseff/house-pricing-preprocessing", "kernel_id": "103958288"}, {"ref": "artemkhakimov/sberins-team-notebook", "kernel_id": "103027344"}, {"ref": "enesbi/notebook0bb1e2ac52", "kernel_id": "103912593"}, {"ref": "chillajagadesh/house-prices-prediction", "kernel_id": "103620845"}, {"ref": "shquant/house-prices", "kernel_id": "103421761"}, {"ref": "deepup2k2/house-price-prediction", "kernel_id": "103424341"}, {"ref": "nattanat/nattanat-house-price-prediction", "kernel_id": "103700320"}, {"ref": "faresls/house-prices-feature-eng-and-robust-prediction", "kernel_id": "103969447"}, {"ref": "khushi19197/house-prices-clean-eda-key-insights", "kernel_id": "103834961"}, {"ref": "mtarkmeng/house-prices-end-to-end-xgboost-pipeline", "kernel_id": "103460082"}, {"ref": "danusha6/dana-notebook", "kernel_id": "103426154"}, {"ref": "krushnapalekar/notebooka13e1c170a", "kernel_id": "103308852"}, {"ref": "hsharma238/house-price-prediction", "kernel_id": "103096829"}, {"ref": "nerdyalgorithm/ames-housing-comprehensive-stacking-pipeline", "kernel_id": "103691444"}, {"ref": "brandname264/house-prices-advanced-regression-techniques", "kernel_id": "103871895"}, {"ref": "duanguyenvan/dadv-code", "kernel_id": "103334722"}, {"ref": "leezy2/tugasds", "kernel_id": "103120544"}, {"ref": "leezy2/tugasds1", "kernel_id": "103958049"}, {"ref": "kostya138/top-50-score-eda-ensemble-feature-engineering", "kernel_id": "103573277"}, {"ref": "eskella/housing-price-xgboost", "kernel_id": "103355280"}, {"ref": "barmanjabbarnia/house-price-prediction", "kernel_id": "103978627"}, {"ref": "nargessaeed/house-price-prediction-portfolio-project", "kernel_id": "103571416"}, {"ref": "aryawicaksono11/notebook664ff58186", "kernel_id": "103065803"}, {"ref": "aryawicaksono11/notebook02fdd1ed56", "kernel_id": "103065626"}, {"ref": "gamzebabayigit/houseprice", "kernel_id": "103096762"}, {"ref": "vyachhhh/notebook7be358e324", "kernel_id": "103637997"}, {"ref": "original10/notebook-0-12847", "kernel_id": "103382901"}, {"ref": "beyzatopbas/house-prices-advanced-regression-techniques", "kernel_id": "103096566"}, {"ref": "romankopeychik/notebook4b70d1a323", "kernel_id": "103361945"}, {"ref": "emreyeil/house-price-competation", "kernel_id": "103255397"}, {"ref": "hosseinbadrnezhad/data-cleaning-eda-outliers-handling", "kernel_id": "103591622"}, {"ref": "hosseinbadrnezhad/strong-ensemble-for-housing-prices", "kernel_id": "103596075"}, {"ref": "kennedykong/vlookup-pandas-2", "kernel_id": "103286046"}, {"ref": "norasenanu/november-project-1", "kernel_id": "103476990"}, {"ref": "hyx2029/house-prices-baseline-codex", "kernel_id": "103993723"}, {"ref": "ivanvarvaruk/linearregression", "kernel_id": "103960464"}, {"ref": "robertghennessy/kaggle-house-predict-predict-xgboost-optuna", "kernel_id": "104840362"}, {"ref": "alxspiker/beyond-xgboost-discovering-the-physics-of-house", "kernel_id": "104497515"}, {"ref": "erigor/housing-price-r-lightgbm", "kernel_id": "104499326"}, {"ref": "radnerpetrucha/house-prices-regression-techniques", "kernel_id": "104088050"}, {"ref": "marknghk/prediction-with-ydf", "kernel_id": "104653024"}, {"ref": "natakornwannabovorn/hs-intro-to-ml-hw1", "kernel_id": "104468155"}, {"ref": "xenowing/xgboost-in-action-a-complete-real-dataset-workflo", "kernel_id": "104106926"}, {"ref": "yujingzuo/house-prices-advanced-regression-techniques", "kernel_id": "104659721"}, {"ref": "sarimahsan/houseprices-comprehensive-eda-modeling", "kernel_id": "104007443"}, {"ref": "hibatabdulroof/house-price-prediction", "kernel_id": "104685144"}, {"ref": "kaushikharshal/house-price-prediction", "kernel_id": "104906565"}, {"ref": "pytrees/house-price-forecasting", "kernel_id": "104550424"}, {"ref": "kryptonkk/learning-linear-regression", "kernel_id": "104528207"}, {"ref": "yuxuexue/dashujv-exp3", "kernel_id": "104830954"}, {"ref": "johnff09/submission", "kernel_id": "104069135"}, {"ref": "anuya09/house-price-competition", "kernel_id": "104087406"}, {"ref": "sarvam2006/house-price-comp", "kernel_id": "104050085"}, {"ref": "thanakritp3b/thanakritp-v1", "kernel_id": "104554341"}, {"ref": "zakariaetrachni/advanced-house-prices-prediction-competition", "kernel_id": "104084453"}, {"ref": "omarkamal41456hgfh/notebookdbcda948d3", "kernel_id": "104728487"}, {"ref": "ahmetcanberkunal/house-prices-xgboost-lightboost-stacking-model", "kernel_id": "104540426"}, {"ref": "eason910179/house-prices", "kernel_id": "104604963"}, {"ref": "muhammadrayanshahid/house-prices-bronze-medal-solution", "kernel_id": "104981490"}, {"ref": "yashlund/house-prices-prediction-using-tfdf", "kernel_id": "104673300"}, {"ref": "eleftheria14/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "104682804"}, {"ref": "odvut1/competition-house-price", "kernel_id": "104355161"}, {"ref": "patthadonarm/intro-to-machine-learning", "kernel_id": "104277348"}, {"ref": "rnivedithagowda/house-predication-using-ml-model", "kernel_id": "104548452"}, {"ref": "alvados/individual-exercise", "kernel_id": "104022457"}, {"ref": "rshvchandra/structured-data-preprocessing-ml-pipeline-design", "kernel_id": "104360177"}, {"ref": "jaiminkundal/house-price-prediction", "kernel_id": "104990670"}, {"ref": "jasonwang2005/notebook62acfb576f", "kernel_id": "104641383"}, {"ref": "emretarran/housing-prices-competition-2", "kernel_id": "104298733"}, {"ref": "bogdanvladevski/houseprices-6134-finalversion", "kernel_id": "104577076"}, {"ref": "haziqpathan/house-prices-prediction-using-tfdf", "kernel_id": "104529535"}, {"ref": "nouralhendi/house-prices-model-comparison", "kernel_id": "104445324"}, {"ref": "anujsaha0123456789/house-prices", "kernel_id": "104599696"}, {"ref": "supawadeeapichon/house-prices-advanced-regression-techniques", "kernel_id": "104372830"}, {"ref": "aabhaaroratanu/predictive-analysis-of-residential-property-prices", "kernel_id": "104864704"}, {"ref": "realtalhacelik/ames-housing-lasso-xgboost-blend", "kernel_id": "104539360"}, {"ref": "ferariz/house-prices-validation-first-tabular-ml", "kernel_id": "105333600"}, {"ref": "jeanpooljinezsorroza/house-prices-competition-p1-fork", "kernel_id": "105571508"}, {"ref": "ramyheshmat/price-your-house-advanced-regressors-shap", "kernel_id": "105913547"}, {"ref": "sohakabir/house-prices-model-stability-in-cv", "kernel_id": "105372408"}, {"ref": "marylka/house-prices-eda-blending", "kernel_id": "105127343"}, {"ref": "rafalpl/house-prices-regression-r", "kernel_id": "105980494"}, {"ref": "sehlibellhassen/nour-preprocessing", "kernel_id": "105323023"}, {"ref": "parinazmellatdoust/myhouseprices", "kernel_id": "105829015"}, {"ref": "georgeguu/house-prices-advanced-regression-techniques", "kernel_id": "105608861"}, {"ref": "prateekvibhor14/house-price-prediction", "kernel_id": "105867310"}, {"ref": "prashantdubey2107/house-price-predection-model-rmse-0-35317", "kernel_id": "105986070"}, {"ref": "faizanshaikh20/house-prices-end-to-end-feature-engineering-xgb", "kernel_id": "105376236"}, {"ref": "zayl001/house-prices-prediction-using-tfdf", "kernel_id": "105900691"}, {"ref": "katerynalevchuk/lab-1-sa-levchuk", "kernel_id": "105905964"}, {"ref": "amoghsagar/notebook95b423ac3f", "kernel_id": "105414512"}, {"ref": "nadaarfaoui/house-prices-prediction-with-advanced-regression", "kernel_id": "105789433"}, {"ref": "khajanakumar/housepriceprediction-light-gbm-by-kk", "kernel_id": "105423837"}, {"ref": "doannhatminh/notebook3c477e8550", "kernel_id": "105884601"}, {"ref": "dhruvkumar11/house-price-prediction", "kernel_id": "105546866"}, {"ref": "vivekumar001/house-prices-prediction-advanced-regression", "kernel_id": "105790312"}, {"ref": "atharvgangwar/housepricingchallenge", "kernel_id": "105535136"}, {"ref": "mozhgandivsalar/houseprice-competition-pipeline-mozhgan", "kernel_id": "105755668"}, {"ref": "hebaqueen/tabular-regression", "kernel_id": "105770689"}, {"ref": "haz3mm7hmoud/real-state-project", "kernel_id": "105867350"}, {"ref": "misrufsiddhant/house-price-prediction-model", "kernel_id": "105401106"}, {"ref": "vennyx14/notebook7966d5cd38", "kernel_id": "105964620"}, {"ref": "cosmicescape/why-most-tabular-cv-scores-lie", "kernel_id": "105758709"}, {"ref": "adinathjagtap777/house-prices-advanced-regression-techniques", "kernel_id": "105973525"}, {"ref": "baopv05/house-prices-regressor", "kernel_id": "105847746"}, {"ref": "nina2025/house-prices-h-blend", "kernel_id": "105107914"}, {"ref": "useeyman/mis447-house-prices", "kernel_id": "105564739"}, {"ref": "mahmutberhaktanyldz/house-prices-advanced-regression-techniques-xgbr", "kernel_id": "105477162"}, {"ref": "harshitashibe24/house-prices-cv-optimized-ensembles", "kernel_id": "105392225"}, {"ref": "ybfidelkusharyana/a-data-science-approach-to-predicting-residential", "kernel_id": "105702030"}, {"ref": "hmnshudhmn24/house-prices-prediction-competition-score-0-160", "kernel_id": "105588761"}, {"ref": "apaarrao/house-prices-prediction", "kernel_id": "105058294"}, {"ref": "isaoaburadani/notebookbe3eea0e95", "kernel_id": "105051131"}, {"ref": "ahmetmnirdemirolu/house-prices-advanced-regression-techniques", "kernel_id": "105525277"}, {"ref": "oishikpal42/house-prices", "kernel_id": "105420667"}, {"ref": "oosmansadiq/house-prices-advanced-regression-techniques", "kernel_id": "105917106"}, {"ref": "hiulnho/hieulenho", "kernel_id": "105649781"}, {"ref": "mokshitsarma/notebook95939b92c3", "kernel_id": "105303418"}, {"ref": "kunalkumar29/notebook0f1826bf54", "kernel_id": "105818313"}, {"ref": "ozakake/house", "kernel_id": "105523791"}, {"ref": "osabiya/rf-house-prices-advaced-regression-techniques", "kernel_id": "105752155"}, {"ref": "rasagnadantuluri/rasagna", "kernel_id": "105600633"}, {"ref": "umarnabibhat/house-prices-prediction", "kernel_id": "105154393"}, {"ref": "adityaroy176/house-prices-pred-linear-regression", "kernel_id": "105278496"}, {"ref": "winddy3/housepriceprediction", "kernel_id": "105454286"}, {"ref": "ayushh6/housing-prices", "kernel_id": "105151490"}, {"ref": "nguynvnu/notebooke65c207d2f", "kernel_id": "105813871"}, {"ref": "gauravmurugesan/project-linear-regression", "kernel_id": "105458720"}, {"ref": "yuyuzang/house-prise-by-yuyuzang", "kernel_id": "105584533"}, {"ref": "pranjal1247/houseprices-linear-reg", "kernel_id": "105608362"}, {"ref": "shreyalanand98/regression-project-1", "kernel_id": "105936594"}, {"ref": "ayamyoussef/house-prices-prediction", "kernel_id": "106863565"}, {"ref": "ai21ambarmestry/housing-market-customer-pov", "kernel_id": "106289327"}, {"ref": "eu1234/cv-score-predict-categoryembedding-houses-prices", "kernel_id": "106733300"}, {"ref": "winnernikita27/rmse-0-13-with-blending-boosting-ridge-public-v", "kernel_id": "106479733"}, {"ref": "jateenmourya/house-prices-prediction", "kernel_id": "106706150"}, {"ref": "kamilayanchenko/stacked-regressions-top-4-on-leaderboard", "kernel_id": "106048729"}, {"ref": "seprenbolat/notebook96d100f08c", "kernel_id": "106919531"}, {"ref": "mximoferrariostry/house-prices-first-regression-project", "kernel_id": "106797786"}, {"ref": "errajanikantawasthi/rkawasthisaleprice", "kernel_id": "106291957"}, {"ref": "jitamxb/house-prices-advanced-regression-techniques", "kernel_id": "106560274"}, {"ref": "ajabkhan21/notebook355560d242", "kernel_id": "106397900"}, {"ref": "ajabkhan21/notebooka1e44aec0b", "kernel_id": "106396566"}, {"ref": "alamshihab075/your-first-machine-learning-model", "kernel_id": "106200834"}, {"ref": "katerynalevchuk/lab-2-sa-levchuk", "kernel_id": "106016765"}, {"ref": "katerynalevchuk/exploratory-data-analysis-of-house-prices-dataset", "kernel_id": "106106416"}, {"ref": "katerynalevchuk/lab-4-sa-levchuk", "kernel_id": "106110004"}, {"ref": "anujtyagi28/house-price-prediction-using-ridge", "kernel_id": "106117830"}, {"ref": "avijitgiri/house-price", "kernel_id": "106091406"}, {"ref": "hagarabdelazeembakry/notebook5601e231ec", "kernel_id": "106022055"}, {"ref": "guddugole/regression-models-from-scratch-visualization", "kernel_id": "106974439"}, {"ref": "saurabhrajvarma/house-prices-prediction-using-regression-method", "kernel_id": "106855818"}, {"ref": "umairkhalil2002/house-prices-advance-regrssion-technique", "kernel_id": "106146325"}, {"ref": "nmd2706/house-price-prediction-ipynb", "kernel_id": "106943547"}, {"ref": "atifkhan12/house-price-prediction-exploratory-data-analysis", "kernel_id": "106289247"}, {"ref": "artemkabseu/housepredict-pipeline-randomforestreg", "kernel_id": "106601410"}, {"ref": "aklimakhanamlima/housing-prices-dataset-ml", "kernel_id": "106686790"}, {"ref": "adityakumarsony/house-price-prediction", "kernel_id": "106210451"}, {"ref": "safaeouallal/house-price", "kernel_id": "106502519"}, {"ref": "pohrenu/notebook0895b45bbc", "kernel_id": "106294411"}, {"ref": "monopoly228/notebook77592a5b24", "kernel_id": "106983428"}, {"ref": "mytalkwithyou/house-prices-prediction-test", "kernel_id": "106990659"}, {"ref": "alenissacsam/house-prices-prediction", "kernel_id": "106492171"}, {"ref": "samyakrajbayar/first-place-come-on", "kernel_id": "106303702"}, {"ref": "riccigabriellocsin/coursework", "kernel_id": "106720635"}, {"ref": "niladriroy0/linear-regression-a-system-design-approach", "kernel_id": "106858255"}, {"ref": "artyomhovhannisyan/baseline", "kernel_id": "106602025"}, {"ref": "wenzifpppp/houseprice-ver3", "kernel_id": "106106969"}, {"ref": "tanloc24/latanloc-13-1-2026", "kernel_id": "106949492"}, {"ref": "ngthipthao/houseprice-prediction", "kernel_id": "106942327"}, {"ref": "ntnc0911/houseprice-sample-notebook", "kernel_id": "106971667"}, {"ref": "isamimasi/housexgbtreewright", "kernel_id": "106124772"}, {"ref": "hqdat2005/hoangquangdat-13-01-2026", "kernel_id": "106846723"}, {"ref": "mohasylla/notebookae27480514", "kernel_id": "106093951"}, {"ref": "joiejoui/house-price-prediction", "kernel_id": "106942500"}, {"ref": "xieendra/house-prices-prediction-ridge-regression-baselin", "kernel_id": "106535494"}, {"ref": "gannibal/house-prices-eda", "kernel_id": "106103371"}, {"ref": "gopalzxc/notebook-on-house-price-prediction", "kernel_id": "106962678"}, {"ref": "nuchujianhua/notebook-xgboost-test", "kernel_id": "106030975"}, {"ref": "jasrahzunnoorfatima/notebookfe33e14777", "kernel_id": "106377258"}, {"ref": "moralesgomez/eda-training-models-house-pricing", "kernel_id": "106949202"}, {"ref": "victordyminskyi/1-competition", "kernel_id": "106869540"}, {"ref": "ntnngn/duck-quakquak", "kernel_id": "106984476"}, {"ref": "nguyenthimailoan/loancompetition", "kernel_id": "106967520"}, {"ref": "thuphuong09/house-price-linear-vs-polynomial-regression-ipynb", "kernel_id": "106942597"}, {"ref": "duykosuy/dangtruongduy-30-11-2005", "kernel_id": "106950179"}, {"ref": "sinhzun/notebooka28f5a1094", "kernel_id": "107005474"}, {"ref": "sword4949/house-prices-advanced-regression-techniques", "kernel_id": "107663811"}, {"ref": "sundayjames/house-prices-prediction-xgbregressor", "kernel_id": "107032061"}, {"ref": "dynamo14324/house-prices-lightgbm-baseline-2026", "kernel_id": "107890507"}, {"ref": "hassanjameelahmed/house-prices-advanced-regression-techniques", "kernel_id": "107699962"}, {"ref": "elephant52/notebook98ab4aeff7", "kernel_id": "107220439"}, {"ref": "oroaah/mlproject-houseprices", "kernel_id": "107313519"}, {"ref": "jatilamolagoda/jatila-hpp", "kernel_id": "107535277"}, {"ref": "sajnatasneem/assign1-eda", "kernel_id": "107034497"}, {"ref": "vaibhavpawar41/house-price-prediction-using-linear-regression-ml", "kernel_id": "107554903"}, {"ref": "vaibhavpawar41/house-price-prediction-using-linear-regression-e", "kernel_id": "107380964"}, {"ref": "mehmetsel/houseprices-pipeline-elasticnet", "kernel_id": "107032826"}, {"ref": "ismailuzum/house-prices-advanced-regression-techniques", "kernel_id": "107850320"}, {"ref": "wkapri/house-prices-stacking", "kernel_id": "107035026"}, {"ref": "camiloarg30/2-house-prices-advanced-regression-techniques", "kernel_id": "107364899"}, {"ref": "maximendacleu/house-prices-prediction", "kernel_id": "107207643"}, {"ref": "minhkhoado24/house-prices-predictions", "kernel_id": "107008526"}, {"ref": "gupttaaruna/notebookf7b1508ca2", "kernel_id": "107816979"}, {"ref": "sogeupin/notebookce4cc8d7a6", "kernel_id": "107005748"}, {"ref": "vivekumar001/house-prices-prediction-exploratory-data-analysis", "kernel_id": "107685076"}, {"ref": "vismayakatkar/vismaya-katkar-23120b0069", "kernel_id": "107581501"}, {"ref": "yarama/yara-before-chat", "kernel_id": "107340593"}, {"ref": "vishanshm/project-house-price-prediction", "kernel_id": "107564689"}, {"ref": "lmqloveu/house-price-prediction", "kernel_id": "107189281"}, {"ref": "hinamninh/notebook755fe1f6d9", "kernel_id": "107328456"}, {"ref": "xinglinlai/house-price-pred-more-features-and-multi-models", "kernel_id": "107367029"}, {"ref": "dinhthiquynhanh/house-prices-decision-tree", "kernel_id": "107258291"}, {"ref": "samruddhibhosale23/notebook0940a26708", "kernel_id": "107604129"}, {"ref": "adiace4u/house-price-prediction-multiple-models", "kernel_id": "107343898"}, {"ref": "krishpansara/house-prices-lgbmregressor-basic", "kernel_id": "107901645"}, {"ref": "soyyyau/house-prize-5", "kernel_id": "107831185"}, {"ref": "antonytate/house-pricing", "kernel_id": "107487247"}, {"ref": "lucascarpantonio/house-prices-feature-engineering-gradient-boost", "kernel_id": "107459044"}, {"ref": "namnguynnnn/house-prices-predict-part2", "kernel_id": "107293606"}, {"ref": "namnguynnnn/house-prices-predict", "kernel_id": "107138687"}, {"ref": "joshi9/notebookd3f713f8c3", "kernel_id": "107291224"}, {"ref": "shetyerahul/house-prices", "kernel_id": "107580896"}, {"ref": "prabhatxoplore/house-price-prediction-ridge-regression", "kernel_id": "107651477"}, {"ref": "hoangphucit/hp-house-prices-advanced-regression-techniques", "kernel_id": "107535156"}, {"ref": "nguyntrnhhilinh/house-price-hailinh", "kernel_id": "107360332"}, {"ref": "rinne140205/notebook6c1eda654a", "kernel_id": "107373895"}, {"ref": "ozcankursun/week3-houseprices-kaggle-clean", "kernel_id": "107391267"}, {"ref": "divvelaashish/custom-jax-vs-scikit-learn", "kernel_id": "107380140"}, {"ref": "mytalkwithyou/house-price-prediction-project-t2", "kernel_id": "107301855"}, {"ref": "mytalkwithyou/house-price-prediction-project-t", "kernel_id": "107299657"}, {"ref": "mytalkwithyou/house-price-prediction-project-tt", "kernel_id": "107142860"}, {"ref": "harukiharada/top-15-3-model-ensemble-xgb-lgbm-cat", "kernel_id": "107889739"}, {"ref": "avazhuseynov/house-price-predict", "kernel_id": "107294169"}, {"ref": "thol123/lpt-13-01-2026", "kernel_id": "107261832"}, {"ref": "elevition/notebook79865985d0", "kernel_id": "107529789"}, {"ref": "himass2k5/nguyen-manh-thang-13-01-2026", "kernel_id": "107278645"}, {"ref": "sohitsingh08/house-prices-advanced-regression-end-to-end-ml", "kernel_id": "107790650"}, {"ref": "cydebraind/notebook5a9b5077ee", "kernel_id": "107216332"}, {"ref": "duckga3k/phamphucduc", "kernel_id": "107370915"}, {"ref": "ymmhann/notebookd2d261d9eb", "kernel_id": "107497833"}, {"ref": "quangvn1/notebookf1481261ae", "kernel_id": "107005934"}, {"ref": "ph10650/notebookb0467d7771", "kernel_id": "107005950"}, {"ref": "ramaalabhath/house-prices10", "kernel_id": "107391138"}, {"ref": "ramaalabhath/hous-prices-besr", "kernel_id": "107029160"}, {"ref": "ramaalabhath/step-house", "kernel_id": "107449372"}, {"ref": "viethang05/predictprice", "kernel_id": "107005995"}, {"ref": "hoaithu261/house-price", "kernel_id": "107540234"}, {"ref": "leebindz/l-thanh-b-nh-26a4040712", "kernel_id": "107375316"}, {"ref": "thuy250405/ntt-13-01-2026", "kernel_id": "107201786"}, {"ref": "qutuynhong/ho-ng-qu-tuy-n", "kernel_id": "107430502"}, {"ref": "tunttrn/btvn-buoir-1-tr-tu-nh-n-t-o", "kernel_id": "107030369"}, {"ref": "hosseinbadrnezhad/house-prices-eda-etl-visualization", "kernel_id": "107942033"}, {"ref": "kiungnnguynth/notebookd56a1a2d10", "kernel_id": "107532755"}, {"ref": "trinhkimnhi/notebookb504a42c48", "kernel_id": "107345972"}, {"ref": "iutunphong/notebook4f3190c9b7", "kernel_id": "107006031"}, {"ref": "josefmath/house-prices", "kernel_id": "107331420"}, {"ref": "leethy/lebichthuy123", "kernel_id": "107315369"}, {"ref": "dunhding/house-prices-prediction-dunhding", "kernel_id": "107335936"}, {"ref": "thohinv/notebook99acd08884", "kernel_id": "107396501"}, {"ref": "smaldo2000/rfr-xgbr-rscv", "kernel_id": "107282273"}, {"ref": "saniyavahora2205/house-price-prediction", "kernel_id": "107178805"}, {"ref": "joiejoui/house-prices", "kernel_id": "107443576"}, {"ref": "joiejoui/predict-house-prices", "kernel_id": "107443830"}, {"ref": "datioibaraki/housingdatio-gemi", "kernel_id": "107065527"}, {"ref": "emreatabey/house-eda-and-price-prediction-model", "kernel_id": "107066018"}, {"ref": "abdullahmart/house-prices-advanced-regression-project", "kernel_id": "107376577"}, {"ref": "manhhung12z/house-prices", "kernel_id": "107376226"}, {"ref": "anhnguynquangg/notebook6f38c235b1", "kernel_id": "107398002"}, {"ref": "chanhh123/house-prices-prediction-using-tfdf", "kernel_id": "107531118"}, {"ref": "kakaxitanlang/notebook3a2513aa5c", "kernel_id": "107113688"}, {"ref": "achyutghimire/notebookfa4c486936", "kernel_id": "107829069"}, {"ref": "rauffauzanrambe/chatbot-llm-house-predicted-prices-advanced", "kernel_id": "107184991"}, {"ref": "ilnickijoleksandr/house-prices-advanced-regression-techniques-eda", "kernel_id": "107075193"}, {"ref": "ilnickijoleksandr/xgboost-hyperparameter-optimization-with-optuna", "kernel_id": "107077915"}, {"ref": "tranthithanhthao8125/notebook20a75e4979", "kernel_id": "107367602"}, {"ref": "nguyenhoanglong2005/notebook39977f3b04", "kernel_id": "107410553"}, {"ref": "phamhuonggiang1705/ttnt-b1", "kernel_id": "107495420"}, {"ref": "moralesgomez/housepricing-eda-prediction-lm-restricted", "kernel_id": "107828060"}, {"ref": "larkinkirill/new-notebook", "kernel_id": "107115547"}, {"ref": "edsel2603/vsq-13-01-2026", "kernel_id": "107257928"}, {"ref": "thanhvan165/house-price", "kernel_id": "107316059"}, {"ref": "phamthao123/pham-phuong-thao-26a4010656", "kernel_id": "107417213"}, {"ref": "lminhhiu2w/house-price", "kernel_id": "107177016"}, {"ref": "phamkimngank26htttb/house-prices-prediction-using-tfdf", "kernel_id": "107498318"}, {"ref": "thutrang87/houseprices", "kernel_id": "107359447"}, {"ref": "linhlaithuy/lai-thuy-linh", "kernel_id": "107273846"}, {"ref": "linhh18/houseprice", "kernel_id": "107444886"}, {"ref": "nguyngiain/nguyen-gia-dien", "kernel_id": "107407414"}, {"ref": "raedalrubayee/top-250-solution-house-prices-advanced-regressio", "kernel_id": "107700222"}, {"ref": "raedalrubayee/house-prices-prediction-top-250-rank-with-advance", "kernel_id": "107698114"}, {"ref": "raedalrubayee/advanced-house-prices-prediction-top-rank-feature", "kernel_id": "107677788"}, {"ref": "pdip259/predicting-house-prices", "kernel_id": "107005341"}, {"ref": "hnghiuv/hieu-house-prices", "kernel_id": "107555714"}, {"ref": "phamhueptth/houseprices", "kernel_id": "107514216"}, {"ref": "hoinguynththanh/nguy-n-th-thanh-ho-i", "kernel_id": "107413573"}, {"ref": "nntlne/baitapvenhabuoi2", "kernel_id": "107006452"}, {"ref": "trukii/trukkiii", "kernel_id": "107108413"}, {"ref": "khiemkk/khiemkk", "kernel_id": "107012406"}, {"ref": "yudgnauq/qduy-13-01-2026", "kernel_id": "107288972"}, {"ref": "lanphuongdang/lanphuong", "kernel_id": "107313451"}, {"ref": "nmd21112005/firstnotebook", "kernel_id": "107352416"}, {"ref": "minhctho/thaominhduc-13-01", "kernel_id": "107371635"}, {"ref": "huycan2310/qhuy-13-1-2026", "kernel_id": "107372034"}, {"ref": "phamduy15/notebookb15052005", "kernel_id": "107396495"}, {"ref": "ngynhiii/notebookf490a08466", "kernel_id": "107396218"}, {"ref": "phng164/notebooke6f47b6977", "kernel_id": "107396740"}, {"ref": "wjbucon/notebooke7464acd62", "kernel_id": "107397143"}, {"ref": "snguynvit/notebook013f0dda82", "kernel_id": "107397917"}, {"ref": "maitinc/maitienduc", "kernel_id": "107397493"}, {"ref": "tunglaiedit/kedaubac", "kernel_id": "107410830"}, {"ref": "qunhry/house-prices-prediction-using-tfdf", "kernel_id": "107498203"}, {"ref": "quocviet87/notebookc9a5eaf0c8", "kernel_id": "107505222"}, {"ref": "khangysnguyen/khangys", "kernel_id": "107533205"}, {"ref": "groundtoup/gani019", "kernel_id": "107930647"}, {"ref": "samir95/lecture-4", "kernel_id": "108839973"}, {"ref": "umbutun/house-prices-end-to-end-regression-pipeline", "kernel_id": "108859268"}, {"ref": "rg18aa/house-prices-advanced-regression-by-model-stacking", "kernel_id": "108661155"}, {"ref": "olaelshiekh/neuralnetworks-v9", "kernel_id": "108318110"}, {"ref": "haticebaydemir/02-data-mastery-eda-and-preprocessing", "kernel_id": "108401454"}, {"ref": "haticebaydemir/03-regression-models", "kernel_id": "108403311"}, {"ref": "haticebaydemir/05-advanced-ml-unsupervised-and-production", "kernel_id": "108772829"}, {"ref": "sakibbai/ml-50-project-kaggle", "kernel_id": "108406162"}, {"ref": "sanjayprabhuk/house-predictions-competition", "kernel_id": "108033986"}, {"ref": "surapitthaibkhuang/project-1-using-regression-for-house-prices", "kernel_id": "108605830"}, {"ref": "sajnatasneem/mdterm-house-prices-regression", "kernel_id": "108923998"}, {"ref": "kbraak/decisiontreeregressor", "kernel_id": "108960634"}, {"ref": "metamadyeth/ml-case-study-house-price-prediction", "kernel_id": "108735678"}, {"ref": "nishant30488/house-prices-v8-catboost", "kernel_id": "108158809"}, {"ref": "prthmptl/house-prices-gradient-boosting-solution", "kernel_id": "108449153"}, {"ref": "suhanigupta04/house-price-prediction-xgboost", "kernel_id": "108918890"}, {"ref": "ismailuzum/house-prices-pytorch-mlp", "kernel_id": "108369282"}, {"ref": "todddole/cleaning-demo", "kernel_id": "108337250"}, {"ref": "prashantbrl/ames-house-predcition-final", "kernel_id": "108032397"}, {"ref": "kentbaluyot/predictinghousingprices-feature-model-comparison", "kernel_id": "108963739"}, {"ref": "tabarkalkhatib/house-prices", "kernel_id": "108108760"}, {"ref": "adamasbai/house-price-prediction-using-lr", "kernel_id": "108721667"}, {"ref": "vitroman/notebookb4d368b9a8", "kernel_id": "108167392"}, {"ref": "bohdanzvorskyy/notebook2", "kernel_id": "108640166"}, {"ref": "takatophy/house-prices-complete-eda-lightgbm-baseline", "kernel_id": "108151533"}, {"ref": "takatophy/lightgbm-tuning-visual-guide", "kernel_id": "108152319"}, {"ref": "takatophy/optuna-complete-tuning-guide", "kernel_id": "108152322"}, {"ref": "harshprataps123/notebookc4c35cafc1", "kernel_id": "108245759"}, {"ref": "yarama/yara-after-chat", "kernel_id": "108525836"}, {"ref": "mostafahikal/comprehensive-housing-analysis-lasso-feature-se", "kernel_id": "108418909"}, {"ref": "mennahitham/eda-house-price-prediction", "kernel_id": "108279288"}, {"ref": "rhythmghai/ames-housing-gradient-boosted-trees-tf-df", "kernel_id": "108707807"}, {"ref": "adityxnand/house-saleprice-regression", "kernel_id": "108219740"}, {"ref": "burakaltunda/house-price-predict", "kernel_id": "108685286"}, {"ref": "netramfaran/house-prices-prediction-end-to-end-regression", "kernel_id": "108985026"}, {"ref": "kbhuvana202006/task-1", "kernel_id": "108765280"}, {"ref": "kayamiaki/solution-1-llm-assisted-80", "kernel_id": "108371626"}, {"ref": "arslanrejepov/house-prices-linear-regression", "kernel_id": "108224936"}, {"ref": "janneheldan/notebook-house-prediction", "kernel_id": "108524544"}, {"ref": "jmtan0/tree-based-models", "kernel_id": "108372085"}, {"ref": "jmtan0/tree-based-models-shap-feature-selection", "kernel_id": "108771601"}, {"ref": "suryaniutami/ames-house-pricing-prediction", "kernel_id": "108875674"}, {"ref": "krishpansara/house-prices-linearregression", "kernel_id": "108836925"}, {"ref": "muchzannurnadhif/house-prices-advanced-rt-cv2-much", "kernel_id": "108837983"}, {"ref": "payaldhokane/house-prices-advanced-regression-techniques", "kernel_id": "108395402"}, {"ref": "payaldhokane/house-prices-clean-baseline-with-gradient-boosting", "kernel_id": "108394653"}, {"ref": "payaldhokane/house-prices-histgradientboostingregressor", "kernel_id": "108395828"}, {"ref": "farzanaanjumesha/house-prices-prediction", "kernel_id": "108856201"}, {"ref": "quaidiqbal11/visual-analytics-midterm-project-quaid-iqbal", "kernel_id": "108680878"}, {"ref": "asmaaga/midterm-project-part-1", "kernel_id": "108776311"}, {"ref": "kwizerazaidi/python", "kernel_id": "108140528"}, {"ref": "uwiduhayejeanaime/notebook3436a2d79d", "kernel_id": "108145580"}, {"ref": "rachitkumarsingh21/predictions-student-salary-house", "kernel_id": "108269923"}, {"ref": "beyzatopbas/house-prices-advanced-regression", "kernel_id": "108719168"}, {"ref": "ramaalabhath/house-regession1", "kernel_id": "108318524"}, {"ref": "ramaalabhath/house-ml-dl", "kernel_id": "108772244"}, {"ref": "waelhlal/house-prices-advanced-regression-techniques", "kernel_id": "108318133"}, {"ref": "emsibaddung13579/neurall-networks", "kernel_id": "108318118"}, {"ref": "mallikarjunkamati/ml-case-study-house-price-prediction", "kernel_id": "108735704"}, {"ref": "sametkrcan/house-price-competition-eda-prediction-0-121", "kernel_id": "108030932"}, {"ref": "sntrn5/house-prices-advanced-regression-techniques", "kernel_id": "108140765"}, {"ref": "andreialeal/house-prices-eda-model-eval", "kernel_id": "108233444"}, {"ref": "leyuzakoksoken/house-prices-advanced-regression-techniques", "kernel_id": "108199446"}, {"ref": "gianhinguyn/notebookdc84fa8b72", "kernel_id": "108139078"}, {"ref": "alsomostafiz/catboost-xgboost-blend-massive-tuning", "kernel_id": "108215374"}, {"ref": "alishahroor34060/mid-term-project", "kernel_id": "108904065"}, {"ref": "moab89726/midterm-p1", "kernel_id": "108543654"}, {"ref": "sluitel/stacked-ensemble-house-price-predictor", "kernel_id": "108210027"}, {"ref": "chanubyreddy/house-price-prediction-hp-tuning", "kernel_id": "108342409"}, {"ref": "aaryanpatwardhan04/predicting-housing-market-trends", "kernel_id": "108039383"}, {"ref": "sankalpnagineni/notebook37c95eacb7", "kernel_id": "108566135"}, {"ref": "captial/kaggle", "kernel_id": "108125005"}, {"ref": "mpiceus/notebooka7f0dd1d8c", "kernel_id": "108221788"}, {"ref": "gulzarnadaf/ml-case-study-house-price-prediction", "kernel_id": "108735690"}, {"ref": "sakshiwali0101/ml-case-study-house-price-prediction", "kernel_id": "108735972"}, {"ref": "laxmimouneshbadiger/ml-case-study-house-price-prediction", "kernel_id": "108736042"}, {"ref": "rohinamomin/ml-case-study-house-price-prediction", "kernel_id": "108596492"}, {"ref": "bhoomikamugali/ml-case-house-price-prediction", "kernel_id": "108735639"}, {"ref": "rutvinesari/ml-case-study-house-price-prediction", "kernel_id": "108736485"}, {"ref": "saniya017/ml-case-study-house-price-prediction", "kernel_id": "108735840"}, {"ref": "shwetakumbar01/ml-case-study-house-price-prediction", "kernel_id": "108735963"}, {"ref": "priyankapatil28/mlcase-study-house-price-prediction", "kernel_id": "108736113"}, {"ref": "nandinialatagi/ml-case-study-house-price-prediction", "kernel_id": "108736095"}, {"ref": "aishuuc/ml-case-study-house-price-prediction", "kernel_id": "108741722"}, {"ref": "maheshwarikamble18/ml-case-study-house-price-prediction", "kernel_id": "108735707"}, {"ref": "rakshitakhandugol/ml-case-study-house-price-prediction", "kernel_id": "108735889"}, {"ref": "iliabeliaev/notebook79d2e4b39c", "kernel_id": "108217257"}, {"ref": "saloniiisinghhh/house-price-prediction-using-linear-regression", "kernel_id": "108398126"}, {"ref": "sharan0292/ml-case-study-house-price-predication", "kernel_id": "108735733"}, {"ref": "amrutakhandugol/ml-case-study-house-price-prediction", "kernel_id": "108735841"}, {"ref": "arjunkhanna81/arjun-khanna", "kernel_id": "108453250"}, {"ref": "sharansp125/notebookab5aee26ad", "kernel_id": "108735864"}, {"ref": "avadhootlabbi7/notebook07e86c63ea", "kernel_id": "108735983"}, {"ref": "zackxu511/notebookc9c6e1aa03", "kernel_id": "108751337"}, {"ref": "samir95/lecture-5", "kernel_id": "109448210"}, {"ref": "carlmcbrideellis/house-prices-using-tabicl-v2", "kernel_id": "109477128"}, {"ref": "vsshwin19/housing-prediction", "kernel_id": "109480916"}, {"ref": "sakibbai/ml52-feature-encoding", "kernel_id": "109709541"}, {"ref": "olestsaruk/house-prices-advanced-regression-techniques-2", "kernel_id": "109549175"}, {"ref": "transformer1/house-prices-stacking-ensemble-top-12-solution", "kernel_id": "109366650"}, {"ref": "zhengyingt/house-prices-prediction-using-regression", "kernel_id": "109385316"}, {"ref": "farzanaakthermele/house-price-prediction", "kernel_id": "109246680"}, {"ref": "sasha1111/house-prices-eda-simple-stacking", "kernel_id": "109527507"}, {"ref": "emranalbiek/house-prices-prediction", "kernel_id": "109071220"}, {"ref": "ahmedkelsayed/lab-5", "kernel_id": "109472611"}, {"ref": "garnikdavtyan/house-prices-advanced-regression-techniques", "kernel_id": "109487564"}, {"ref": "vabdoamr/bias-variance-optimized-house-price-prediction", "kernel_id": "109054402"}, {"ref": "olzhaskolzhabay/machine-learning-prediction-using-multiple-model", "kernel_id": "109793843"}, {"ref": "arslanrejepov/pricing-with-random-forest", "kernel_id": "109242042"}, {"ref": "jmtan0/tree-based-models-stacking-method", "kernel_id": "109127017"}, {"ref": "sefianeouberka/house-prices-project", "kernel_id": "109485031"}, {"ref": "nishu65/advance-house-price", "kernel_id": "109770669"}, {"ref": "maroofiums/house-prices-prediction", "kernel_id": "109048639"}, {"ref": "emanalmwld/lab-3-house-prices-regression", "kernel_id": "109513621"}, {"ref": "kaysanislam/house-price", "kernel_id": "109439097"}, {"ref": "ridoybaidya/house-prices-advanced-regression-techniques-2", "kernel_id": "109632349"}, {"ref": "janazienaldeen/lab3ml", "kernel_id": "109525887"}, {"ref": "moon958968/lab-3", "kernel_id": "109514141"}, {"ref": "dhayalharthi/lab-3-house-prices-regressi", "kernel_id": "109526180"}, {"ref": "haneenalgarni/lab-3-house-prices-regression", "kernel_id": "109513816"}, {"ref": "samah567/lab3-1", "kernel_id": "109513668"}, {"ref": "emeraldstarrr/lab-4-house-prices-feature-engineering-regula", "kernel_id": "109533857"}, {"ref": "dakhayat123/lab-3", "kernel_id": "109525650"}, {"ref": "gyoudi/lab-3", "kernel_id": "109519936"}, {"ref": "alamoudisaja/lab-3-house-prices-regression", "kernel_id": "109513740"}, {"ref": "talaalrifai/lap-3-house-prices", "kernel_id": "109525976"}, {"ref": "lamarm3/lab-3", "kernel_id": "109519255"}, {"ref": "norah46/notebookblab4-and-3", "kernel_id": "109519147"}, {"ref": "wasanbarnawi/notebook6a01ef2e61", "kernel_id": "109526097"}, {"ref": "essgam/lab3elan", "kernel_id": "109519462"}, {"ref": "ayayonh/lap3-aya-house-prices-regression", "kernel_id": "109533723"}, {"ref": "remas11/remas-lab3-and-4", "kernel_id": "109520802"}, {"ref": "pppoi55/lab3-44444", "kernel_id": "109519431"}, {"ref": "polina06132005/house-prices", "kernel_id": "109043810"}, {"ref": "yahyakemaluybadin/house-prices-advanced-regression-techniques", "kernel_id": "109167330"}, {"ref": "ommhaske93/house-priceprediction", "kernel_id": "109509333"}, {"ref": "ommhaske93/house-price-prediction", "kernel_id": "109510462"}, {"ref": "abdullahrahimy/housepredectionml", "kernel_id": "109533862"}, {"ref": "abdullahrahimy/notebook899f0d7b98", "kernel_id": "109397260"}, {"ref": "mdshahbaz8789/house-prices-prediction-using-tfdf", "kernel_id": "109139818"}, {"ref": "monicagayatrik/house-prices-with-random-forest-supervised-learn", "kernel_id": "109287996"}, {"ref": "demirkadir04/housepricepredict", "kernel_id": "109533919"}, {"ref": "anushkadorge/house-price-prediction", "kernel_id": "109537790"}, {"ref": "kartikshankarmhaske/house-priceprediction", "kernel_id": "109458781"}, {"ref": "ghalaalhothaly/lab4-ghala", "kernel_id": "109526662"}, {"ref": "ghalaalhothaly/lab3-houses-prices-2", "kernel_id": "109736635"}, {"ref": "oeyoupichit/house-price-prediction", "kernel_id": "109025582"}, {"ref": "mimiobaid/lab-3-house-prices-regression", "kernel_id": "109513500"}, {"ref": "raneemowead/lab3house-prices", "kernel_id": "109514291"}, {"ref": "jory123/lab-3", "kernel_id": "109514156"}, {"ref": "leenasiri/lab3leen", "kernel_id": "109518845"}, {"ref": "elansaad/lab-3", "kernel_id": "109525407"}, {"ref": "joudaljoudi/lab3-2-ml", "kernel_id": "109519250"}, {"ref": "reemsafar/labl3new", "kernel_id": "109519554"}, {"ref": "rawansd/lab-3", "kernel_id": "109519246"}, {"ref": "ry17799/lab-3-4-house-prices", "kernel_id": "109519765"}, {"ref": "reemalhsnani/lab-3", "kernel_id": "109520942"}, {"ref": "maathrealharthy/lab-3-house-prices-regression", "kernel_id": "109519210"}, {"ref": "shouqturki/lab-3", "kernel_id": "109519275"}, {"ref": "mzonsaud/lab-3", "kernel_id": "109526182"}, {"ref": "maryy45/lab-3-house-prices-regression", "kernel_id": "109525919"}, {"ref": "moon131/notebook-lab-3", "kernel_id": "109525400"}, {"ref": "ghalaalhothali/lab-3-regression-modeling", "kernel_id": "109513991"}, {"ref": "najdalsulami/lab-3-4-house-prices-regression", "kernel_id": "109513693"}, {"ref": "rtalalluhybi/lab-3-house-price-regression-edit", "kernel_id": "109533479"}, {"ref": "mhouyy/house-prices-comp", "kernel_id": "109513907"}, {"ref": "idasr21/lab-3", "kernel_id": "109532484"}, {"ref": "kanossa/detailed-exploratory-data-analysis-with-python", "kernel_id": "109986556"}, {"ref": "goncaloasadelta/tp1-ai", "kernel_id": "109999874"}, {"ref": "samir95/lecture-8", "kernel_id": "110903248"}, {"ref": "samir95/lecture-7", "kernel_id": "110146202"}, {"ref": "hiteshkadam/feature-engineering-for-house-prices", "kernel_id": "110296221"}, {"ref": "olaelshiekh/housepricing-businessedition", "kernel_id": "110344909"}, {"ref": "revuyyy/house-prices-advanced-regression-techniques", "kernel_id": "110907663"}, {"ref": "ahmedffarahat/notebookcc5370bbaf", "kernel_id": "110351375"}, {"ref": "colinmeyer/notebook8097cfe064", "kernel_id": "110019323"}, {"ref": "bhaskerpaul/house-price-prediction", "kernel_id": "110844481"}, {"ref": "fammss/house-prices-prediction", "kernel_id": "110523532"}, {"ref": "mogemy004/house-prices-eda", "kernel_id": "110876660"}, {"ref": "todddole/linear-regression", "kernel_id": "110339842"}, {"ref": "souvikchattopadhay/house-price-prediction", "kernel_id": "110054609"}, {"ref": "kshashankvarma/competitionhouseprice", "kernel_id": "110896488"}, {"ref": "marcusgerczak/notebookbfe3a8dea1", "kernel_id": "110796646"}, {"ref": "marcusgerczak/notebook3f9286585d", "kernel_id": "110800152"}, {"ref": "amgadalhsaani/lab1-house-prices", "kernel_id": "110319498"}, {"ref": "benedictusryugunawan/top-1-tf-idf-tabpfn-regressor-guide", "kernel_id": "110922653"}, {"ref": "goktani/ev-fiyat-tahmini-ensemble-ml-pipeline", "kernel_id": "110737843"}, {"ref": "nghuyphmnguyn/tabular-temp-rework", "kernel_id": "110556278"}, {"ref": "elliebranca/gbranca-regression-ml", "kernel_id": "110091843"}, {"ref": "miarvogel/lab4-house", "kernel_id": "110791514"}, {"ref": "jasonloiii/exercise-ml-week3", "kernel_id": "110662116"}, {"ref": "puritymacharia/notebookf547642f0b", "kernel_id": "110266906"}, {"ref": "thomasschreyer/lab-4-house-prices-prediction", "kernel_id": "110608712"}, {"ref": "josephricher/notebookce44cb4eed", "kernel_id": "110001005"}, {"ref": "ryanbaes/notebook2218268570", "kernel_id": "110792384"}, {"ref": "ryanbaes/lab4ai2010-ryan-baes", "kernel_id": "110788014"}, {"ref": "cinnamol/house-price", "kernel_id": "110237505"}, {"ref": "maroofiums/house-prices-prediction-using-ensemble-learning", "kernel_id": "110345494"}, {"ref": "kaustukpratapsingh/house-price-prediction", "kernel_id": "110486067"}, {"ref": "hamayunsaeed999/house-prices-advanced-regression-techniques", "kernel_id": "110938526"}, {"ref": "haidialsayed/preprocessing", "kernel_id": "110178254"}, {"ref": "mohit78241/0-11864", "kernel_id": "110230322"}, {"ref": "mohit78241/correlation-weighted-elasticnet-gb-ensemble-top-90", "kernel_id": "110637624"}, {"ref": "mohankrishnathalla/house-prices-advanced-regression-techniques", "kernel_id": "110436789"}, {"ref": "niniomar7/task1", "kernel_id": "110885556"}, {"ref": "haquee/kaggle-housing-submission-by-meh", "kernel_id": "110188935"}, {"ref": "quaidiqbal11/project-2-hyperparameter-tuning-exercise-option", "kernel_id": "110363537"}, {"ref": "ahmadzulfiqar001/house-prices-top-5-stacking-blueprint", "kernel_id": "110872529"}, {"ref": "jeesk8/notebook58f37789ac", "kernel_id": "110868193"}, {"ref": "potapovaolesya/house-pricing-neural-network", "kernel_id": "110815611"}, {"ref": "fucfan/tmppp", "kernel_id": "110821266"}, {"ref": "d15nee/lab1-house-prices", "kernel_id": "110246422"}, {"ref": "asmaaga/midterm-project-part-2", "kernel_id": "110083175"}, {"ref": "asmaaga/last-attempt", "kernel_id": "110923714"}, {"ref": "xlemonadex/neural-network-model-for-house-prices-pytorch", "kernel_id": "110813374"}, {"ref": "sparshpatil1296/house-prices-regression-model", "kernel_id": "110341023"}, {"ref": "beyzatopbas/project-house-prices-advanced-regression", "kernel_id": "110794124"}, {"ref": "hanenbriki/housepricing-businessedition-h-b", "kernel_id": "110655046"}, {"ref": "roujihlaktineh/housepricing-rr", "kernel_id": "110760863"}, {"ref": "ammarabokhroub/ammar-house-prices-advanced-regression-techniques", "kernel_id": "110345029"}, {"ref": "lamahffff/lab-1-2-eda-data-preprocessin", "kernel_id": "110551958"}, {"ref": "griztick/notebook38f5579f49", "kernel_id": "110796410"}, {"ref": "mikhailvg/notebook06a259123f", "kernel_id": "110762661"}, {"ref": "alishahroor34060/notebooke69e70006c", "kernel_id": "110313131"}, {"ref": "kemaldemirba/house-prices-the-2026-ai-architecture-10-step", "kernel_id": "110626467"}, {"ref": "qrqtrqt/midterm-exercise", "kernel_id": "110350313"}, {"ref": "ankit3890/housedata", "kernel_id": "110093217"}, {"ref": "grcanuru/house-price-predict", "kernel_id": "110066216"}, {"ref": "aldojimnezrodrguez/house-prices-prediction", "kernel_id": "110960905"}, {"ref": "johnmartin117/jmartin-ai2010l4-1", "kernel_id": "110019486"}, {"ref": "dasaev/notebook88fe160cf4", "kernel_id": "110702912"}, {"ref": "dasaev/notebooke4f12644cf", "kernel_id": "110700032"}, {"ref": "halamohsenjan/lab3-house-prices-regression", "kernel_id": "110943846"}, {"ref": "mohamedsalah736/beginner-approach-for-house-prices-prediction", "kernel_id": "110601253"}, {"ref": "maxbadding/notebook70f2356c2d", "kernel_id": "110526182"}, {"ref": "maxbadding/notebookc96a2be9d8", "kernel_id": "110767110"}, {"ref": "brooksdenson/notebook9000e1357d", "kernel_id": "110501738"}, {"ref": "zanderstupp/ames-housing-lab-ai-2010", "kernel_id": "110001065"}, {"ref": "kyleambrose/notebookd340651e35", "kernel_id": "110768509"}, {"ref": "theosheldon/lab4-house-price-prediction", "kernel_id": "110001221"}, {"ref": "eunwoowon/notebook19d47cd99b", "kernel_id": "110502463"}, {"ref": "oteaton/ai-lab04-house-price-prediction", "kernel_id": "110000690"}, {"ref": "matthewstowe1484/house-pricing-lab-4", "kernel_id": "110000726"}, {"ref": "brendankunas/notebookfd9923725b", "kernel_id": "110301049"}, {"ref": "isaac2027/notebookb793ea2374", "kernel_id": "110654202"}, {"ref": "zachverbrugge/lab4-verbrugge", "kernel_id": "110000951"}, {"ref": "benettrickels/benett-rickels-lab-4", "kernel_id": "110001155"}, {"ref": "brodystobart/notebook0d1a2bbba3", "kernel_id": "110787063"}, {"ref": "jaydont55/house-prices", "kernel_id": "110000873"}, {"ref": "bradyschulz/ames-dataset", "kernel_id": "110034377"}, {"ref": "hannasteffen/notebookb7855f3446", "kernel_id": "110778612"}, {"ref": "maddoxelliott1/quality-house-price-prediction-lab4", "kernel_id": "110001160"}, {"ref": "swadeshreddy/lab4-house-price-prediction", "kernel_id": "110001227"}, {"ref": "jaredlynn/jared-lynn-lab-4", "kernel_id": "110499748"}, {"ref": "phille0611/notebook4912b54892", "kernel_id": "110795947"}, {"ref": "javierhurtado25/notebook0737587a64", "kernel_id": "110685158"}, {"ref": "joedeprey/lab4-joe-house-price", "kernel_id": "110002215"}, {"ref": "kadenortiz/notebook2226711a82", "kernel_id": "110788561"}, {"ref": "baohanphan/notebook9062a104f9", "kernel_id": "110711183"}, {"ref": "grahamwalstrom/notebookc058556aea", "kernel_id": "110008000"}, {"ref": "tylerclaiborne9/lab-4-house-price-prediction", "kernel_id": "110001831"}, {"ref": "nayks77/lab4-house-price-prediction-nay-soe", "kernel_id": "110001006"}, {"ref": "gabyestabrook/notebook9b99bbda22", "kernel_id": "110020881"}, {"ref": "biswaskhatiwada07/notebook92ea60c6cc", "kernel_id": "110039598"}, {"ref": "joshuadahlheimer/lab4-house-price-prediction", "kernel_id": "110001242"}, {"ref": "zarathomas16/notebook977e200f71", "kernel_id": "110001246"}, {"ref": "tyleranderson07/advanced-regression-ml-house-price-prediction", "kernel_id": "110000552"}, {"ref": "joeybrekelmans/lab4-house-price-prediction", "kernel_id": "110001194"}, {"ref": "lawsonport/notebook4b02b4d253", "kernel_id": "110015348"}, {"ref": "winchuanooi/notebooka961ca3fab", "kernel_id": "110654612"}, {"ref": "troylehman/notebookc792d72a04", "kernel_id": "110657746"}, {"ref": "paceybogue/lab-4-house-price-prediction", "kernel_id": "110020241"}, {"ref": "aishacmohamed/notebook-lab04", "kernel_id": "110789596"}, {"ref": "cmarx3/lab4houseprice", "kernel_id": "110019507"}, {"ref": "hanskraus/notebookcb5a31ace6", "kernel_id": "110019760"}, {"ref": "kadenradcliff/lab-4-house-price-prediction", "kernel_id": "110020575"}, {"ref": "jacknorby/lab-4-house-price-prediction", "kernel_id": "110019625"}, {"ref": "angjowee/lab-4-house-price-prediction", "kernel_id": "110018950"}, {"ref": "avaphan/notebook3fa0bc3885", "kernel_id": "110271346"}, {"ref": "emilyfernandez06/lab-4-housepriceprediction", "kernel_id": "110019515"}, {"ref": "nicolejohn5on/notebookf9361f4bd6", "kernel_id": "110787030"}, {"ref": "zachdahl1/house-prices-prediction-using-tfdf", "kernel_id": "110018904"}, {"ref": "timbennett1/notebooke71bfdfe2b", "kernel_id": "110018878"}, {"ref": "carsonkleppe/notebook9eb8d4c9f2", "kernel_id": "110016140"}, {"ref": "catherinestraus/lab-4-house-price-prediction", "kernel_id": "110020598"}, {"ref": "annadavis96/lab-4-house-price-prediction", "kernel_id": "110020581"}, {"ref": "anishreddynukala/lab4-anish-nukala", "kernel_id": "110020983"}, {"ref": "shivadharm/notebook9f53919df6", "kernel_id": "110662358"}, {"ref": "dyllanspooner/lab-4-house-price-predictions", "kernel_id": "110020571"}, {"ref": "jacoboneill088/lab-4-house-proce-prediction-jacob", "kernel_id": "110019633"}, {"ref": "nathanieldrong/lab4-houseprice-prediction", "kernel_id": "110019169"}, {"ref": "reecepackard/notebook08e9f757d5", "kernel_id": "110022727"}, {"ref": "prajwalreddy06/lab4-house-price-prediction", "kernel_id": "110363681"}, {"ref": "craigliggett/lab-4", "kernel_id": "110780725"}, {"ref": "isaiahstotts/lab-4-house-price-prediction", "kernel_id": "110021246"}, {"ref": "aaronprinsen1/aaron-isu-spring26-lab4-1", "kernel_id": "110021941"}, {"ref": "aaronprinsen1/aaron-isu-spring26-lab4", "kernel_id": "110019618"}, {"ref": "aidanfechter2/lab-4-house-price-prediction-aidan-fechter", "kernel_id": "110019766"}, {"ref": "willpeyer/notebookc9ffc60c55", "kernel_id": "110543769"}, {"ref": "adamkchristenson/lab-4-house-price-prediction", "kernel_id": "110020569"}, {"ref": "willvla/lab-4-ai2010-advanced-regression-ml-kaggle-hous", "kernel_id": "110638552"}, {"ref": "willvla/notebook108b529959", "kernel_id": "110640543"}, {"ref": "tanishamagikar/kaggle-house-price-prediction", "kernel_id": "110361776"}, {"ref": "carolinemakela/lab-4-house-price-prediction", "kernel_id": "110020606"}, {"ref": "bodiewagoner/ai2010-lab4-bodiewagoner", "kernel_id": "110792185"}, {"ref": "mineralez/saleprice-estimation-with-gradientboosting", "kernel_id": "110734898"}, {"ref": "nathanimig/house-prices-advanced-regression-techniques", "kernel_id": "110797726"}, {"ref": "nathanimig/house-prices-advanced-regression", "kernel_id": "110767168"}, {"ref": "jsweatherman/notebook343ce4a50d", "kernel_id": "110021572"}, {"ref": "brycevining/bvining-lab4", "kernel_id": "110020591"}, {"ref": "runxuangao/house-prices-prediction-tfdf-2-improvements", "kernel_id": "110099555"}, {"ref": "asilburakcan/house-prices-prediction-with-rf-and-xgbr", "kernel_id": "110270830"}, {"ref": "madelinegernadyy/notebooke0121e0a8f", "kernel_id": "110269374"}, {"ref": "pachamat06/eda-exercises-python-kaggle", "kernel_id": "110820149"}, {"ref": "lorenzoscaturchio/house-prices-complete-eda-feature-engineering", "kernel_id": "111776905"}, {"ref": "rabiiarfaoui/house-prices-advanced-regression", "kernel_id": "111048787"}, {"ref": "transformer1/what-really-drives-house-prices-a-visual-eda", "kernel_id": "111891264"}, {"ref": "sajnatasneem/2midterm-exer", "kernel_id": "111267365"}, {"ref": "sajnatasneem/midterm-exercise-part2", "kernel_id": "111263235"}, {"ref": "nicoletacilibiu/eda-house-prices", "kernel_id": "111165553"}, {"ref": "thualley/house-price-prediction", "kernel_id": "111985914"}, {"ref": "abulrob/notebook0bf31ce362", "kernel_id": "111251602"}, {"ref": "ericemerich/house-prices-advanced-techs-xgbregressor-kfold", "kernel_id": "111500388"}, {"ref": "hongzhong123/notebook77e2fc3f40", "kernel_id": "111029382"}, {"ref": "jameskingsley001/house-price-prediction-advance", "kernel_id": "111323292"}, {"ref": "awing11/neural-network-model-for-house-prices-keras", "kernel_id": "111057673"}, {"ref": "omniaelsaka/house-prices", "kernel_id": "111670339"}, {"ref": "haticeacaryldrm/dsbc-20-house-price", "kernel_id": "111218183"}, {"ref": "tsaipradyumna/house-price-prediction", "kernel_id": "111399694"}, {"ref": "harshdeepmishra231/house-prices-analysis", "kernel_id": "111065002"}, {"ref": "ardxaa/housing-prices-advanced-regression-techniques", "kernel_id": "111120149"}, {"ref": "feritbulut/house-prediction", "kernel_id": "111840140"}, {"ref": "jajibrundhasri/house-price-prediction-linear-regression", "kernel_id": "111070767"}, {"ref": "jmtan0/tree-based-models-shap-interpretation", "kernel_id": "111661600"}, {"ref": "harukimurai/house-prices-advanced-regression-techniques", "kernel_id": "111859338"}, {"ref": "artheon/house-prices-the-ultimate-pipeline-template", "kernel_id": "111990352"}, {"ref": "quaidiqbal11/mid-term-project-exercise-option-quaid-iqbal", "kernel_id": "111661951"}, {"ref": "quaidiqbal11/quaid-iqbal-midterm-project-exercise-option", "kernel_id": "111868758"}, {"ref": "wasan16/notebook143f245f0f", "kernel_id": "111065684"}, {"ref": "ps312005/advanced-house-price-prediction", "kernel_id": "111480885"}, {"ref": "pradeepja8/house-prices-clean-optimized-code", "kernel_id": "111169621"}, {"ref": "asmaaga/0-11962", "kernel_id": "111440204"}, {"ref": "haninharthi/lab3-house-prices-regression", "kernel_id": "111683329"}, {"ref": "gomathilakshmigandhi/predict-house-prices-based-on-linear-regression", "kernel_id": "111166463"}, {"ref": "hackerh1/lab03-3d698e", "kernel_id": "111223184"}, {"ref": "aimanesmail/hausepricing-businessedition", "kernel_id": "111093053"}, {"ref": "hilalzerkdemirkan/xgboost-regression-house-price-prediction", "kernel_id": "111894496"}, {"ref": "dilaraiek/house-price-prediction", "kernel_id": "111336797"}, {"ref": "rommelsharma/house-price-prediction-ensemble-blend", "kernel_id": "111067914"}, {"ref": "zzycugzzy/house", "kernel_id": "111858058"}, {"ref": "moab89726/midterm-project", "kernel_id": "111047503"}, {"ref": "krishana2005/house-price-1st", "kernel_id": "111824185"}, {"ref": "halamohsenjan/lab-3-4", "kernel_id": "111005725"}, {"ref": "dananaif/lab-3-house-prices-regression", "kernel_id": "111452594"}, {"ref": "khulood99/lab-3-house-prices-regression", "kernel_id": "111076909"}, {"ref": "adiazkaathallapatria/house-prices-linear-regression", "kernel_id": "111588767"}, {"ref": "darnellewidjaya/notebook4860aece67", "kernel_id": "111746429"}, {"ref": "edrichpasaka/linear-regression-house-prices", "kernel_id": "111812088"}, {"ref": "hiromatsu37/house-prices-advanced-stacking-lgbm-xgb-cat", "kernel_id": "111031042"}, {"ref": "dhruvshridhar123/notebookb75ec2aa38", "kernel_id": "111216813"}, {"ref": "francisbanda/house-prices-ensemble-ridge-lasso-xgb-lgb-v1", "kernel_id": "112079087"}, {"ref": "rafi002/house-prices-midterm-boosted-20260314", "kernel_id": "112213412"}, {"ref": "sajnatasneem/2mid-project", "kernel_id": "112204100"}, {"ref": "sajnatasneem/mid-project", "kernel_id": "112190261"}, {"ref": "sajnatasneem/mid-part2-ag", "kernel_id": "112279081"}, {"ref": "thrivenisaikalakoti/house-prices-complete-eda-feature-engineering", "kernel_id": "112630411"}, {"ref": "mrsohelranapro/data-driven-house-prices-predictions-ai", "kernel_id": "112733018"}, {"ref": "abulrob/notebookfa32852f02", "kernel_id": "112185355"}, {"ref": "jalkuwari/house-prices-v22", "kernel_id": "112198298"}, {"ref": "johndreynolds/house-prices-data-health-features-baseline", "kernel_id": "112199977"}, {"ref": "kennyqq/house-prices-beginner", "kernel_id": "112376861"}, {"ref": "tachi2702/newbie", "kernel_id": "112391264"}, {"ref": "zubkova/21-15", "kernel_id": "112289998"}, {"ref": "htitan/linear-regression-from-scratch-gradient-descent", "kernel_id": "112012703"}, {"ref": "ayushsyntax/comprehensive-eda-on-house-prices", "kernel_id": "112911864"}, {"ref": "carchip4/5th-task-2021710063", "kernel_id": "112852185"}, {"ref": "priyankalenka7/house-price-prediction", "kernel_id": "112794463"}, {"ref": "saivenkataganeshb/house-price-prediction-end-to-end-ml", "kernel_id": "112931113"}, {"ref": "priyanshirathore002/regressioncomp", "kernel_id": "112589329"}, {"ref": "harshpandeyl09/notebook87b9ff45eb", "kernel_id": "112659047"}, {"ref": "deanbatur/road-safety-severity-prediction", "kernel_id": "112312446"}, {"ref": "nexa4yxa/notebook2c63047e04", "kernel_id": "112472746"}, {"ref": "azedgray/notebook00c6932d41", "kernel_id": "112832025"}, {"ref": "gala121212121/d2l-and-pytorch", "kernel_id": "112843319"}, {"ref": "manabbarman/house-prices-feature-engineering-lgbm-xgb", "kernel_id": "112381958"}, {"ref": "hafixyz/odev-19-3-26-regresyon-modeli", "kernel_id": "112725456"}, {"ref": "romnisarias/house-prices-ridge-model", "kernel_id": "112747030"}, {"ref": "liaj12/ds-6030-hw-5-stacking-and-boosting", "kernel_id": "112598543"}, {"ref": "tiandrathreat/house-prices-prediction-using-tfdf", "kernel_id": "112618335"}, {"ref": "rafah7/mid-term-project-exercise-option", "kernel_id": "112269425"}, {"ref": "biswaskhatiwada07/notebook589af4bbeb", "kernel_id": "112540921"}, {"ref": "biswaskhatiwada07/notebook1f8042f3a8", "kernel_id": "112541532"}, {"ref": "chaeyeoungkim/notebookaeee3b6c17", "kernel_id": "112841338"}, {"ref": "valerierusso/house-prices-robust-ml-pipeline-with-feature-eng", "kernel_id": "112504844"}, {"ref": "paulopontes30/atividade01-pi4", "kernel_id": "112211023"}, {"ref": "muhammadbilalabid547/m-bilal-abid-70158113-house-price-regression", "kernel_id": "112609220"}, {"ref": "ohhyeseong03/houseprice", "kernel_id": "112835496"}, {"ref": "kimganghyun0202/kaggle-tasks", "kernel_id": "112806617"}, {"ref": "ch101634/5th-task", "kernel_id": "112813448"}, {"ref": "yu0seo/notebookf9e482fb7b", "kernel_id": "112825955"}, {"ref": "znlc09/2022810051", "kernel_id": "112820679"}, {"ref": "jungjoungbae/2023810071-5", "kernel_id": "112823092"}, {"ref": "wonyeop03/house-prices", "kernel_id": "112829652"}, {"ref": "hyunji0404/machinelearning", "kernel_id": "112829012"}, {"ref": "youejin/5th-task", "kernel_id": "112829794"}, {"ref": "sawon0418/first", "kernel_id": "112829574"}, {"ref": "sawon0418/kaggle", "kernel_id": "112842521"}, {"ref": "wooseoye0n/notebookd6c373f59e", "kernel_id": "112841889"}, {"ref": "choiglyeon/choiglyeon", "kernel_id": "112833527"}, {"ref": "dayuni0708/notebook32afc7785b", "kernel_id": "112850181"}, {"ref": "dayuni0708/notebook088e3f2b66", "kernel_id": "112850984"}, {"ref": "persona5r/kaggle", "kernel_id": "112845544"}, {"ref": "uue726/notebook12b1b42b73", "kernel_id": "112849401"}, {"ref": "haeunkim1225/haeun-kim-5th-assignment", "kernel_id": "112999857"}, {"ref": "bseven/autonomous-ml-experimentation-benchmark", "kernel_id": "113436924"}, {"ref": "hassannjwaba/house-price-prediction", "kernel_id": "113157328"}, {"ref": "klaydaahin/house-prices-advanced-regression", "kernel_id": "113377586"}, {"ref": "armandopy/regression-models-with-scikit-learn", "kernel_id": "113167409"}, {"ref": "ahmedelsaghir/house-price-prediction", "kernel_id": "113970491"}, {"ref": "aligraphics5588/house-prices", "kernel_id": "113191207"}, {"ref": "haticeacaryldrm/ds-20-l1-l2-reg-of-house-price-m", "kernel_id": "113593326"}, {"ref": "vitalinaalipova/notebook3a47083c59", "kernel_id": "113634538"}, {"ref": "ahmadkhanalm/ahmad-house-prices-advanced-regression", "kernel_id": "113593309"}, {"ref": "ebjdoe/house-prices-eda-what-the-data-tells-you", "kernel_id": "113042348"}, {"ref": "emanalmwld/lab-4-house-prices-feature-engineering-regula", "kernel_id": "113938041"}, {"ref": "hammadulmustafa/end-to-end-house-price-prediction-pipeline", "kernel_id": "113376605"}, {"ref": "asawirobaid/house-prices-prediction-using-tfdf", "kernel_id": "113592991"}, {"ref": "karthikchutke/hyderabad-house-price-predict", "kernel_id": "113519952"}, {"ref": "rambo232/house-prices-analysis-and-prediction-top-5", "kernel_id": "113454883"}, {"ref": "vlonis/lab-3-house-prices-regression1", "kernel_id": "113940294"}, {"ref": "kayhanbora/houseprices", "kernel_id": "113221853"}, {"ref": "bayaderalyazidi/lab-4", "kernel_id": "113948095"}, {"ref": "bayaderalyazidi/lab-3", "kernel_id": "113945921"}, {"ref": "dakhayat123/lab-4", "kernel_id": "113937952"}, {"ref": "janazahrani/lab3-house-prices-regression", "kernel_id": "113911143"}, {"ref": "halaalrefe/notebook63720d50cc", "kernel_id": "113871870"}, {"ref": "lamarmohammedmayet/lab3-house-prices-regression", "kernel_id": "113902178"}, {"ref": "janadsahmed/ml-lab3", "kernel_id": "113962980"}, {"ref": "lamarm3/lab4m", "kernel_id": "113945682"}, {"ref": "essgam/lab4elan", "kernel_id": "113946962"}, {"ref": "itez739/lab-3-house-prices-regression", "kernel_id": "113963555"}, {"ref": "harisaliovais/notebook958035155c", "kernel_id": "113586606"}, {"ref": "samir77778/structured-approach-to-house-price-prediction", "kernel_id": "113381603"}, {"ref": "alrei21/house-prices-starter-xgb", "kernel_id": "113983011"}, {"ref": "ghadofabdulrahman/notebook8cc9ada05a", "kernel_id": "113937403"}, {"ref": "leenasiri/lab332", "kernel_id": "113946638"}, {"ref": "leenasiri/lab44", "kernel_id": "113949032"}, {"ref": "shvidtk/lab04", "kernel_id": "113945550"}, {"ref": "joudaljoudi/lab3ml", "kernel_id": "113945975"}, {"ref": "reemmurshed/lab-4-house-prices-feature-engineering-regula", "kernel_id": "113954259"}, {"ref": "reemmurshed/lab-3", "kernel_id": "113910993"}, {"ref": "ruwaidaalsubhi/lab-3-house-prices-regression", "kernel_id": "113940794"}, {"ref": "rohitv18/house-price-ann", "kernel_id": "113143004"}, {"ref": "reemas111/lab33333", "kernel_id": "113954399"}, {"ref": "rtalalluhybi/lap-4", "kernel_id": "113941159"}, {"ref": "joujkou/lab-3", "kernel_id": "113937513"}, {"ref": "sanyamdhadiwal2302/house-price-1", "kernel_id": "113622919"}, {"ref": "derricsamson/advancedata", "kernel_id": "113056959"}, {"ref": "ashraf1903/notebook978825a49e", "kernel_id": "113674119"}, {"ref": "shimada3/house-prices", "kernel_id": "113559269"}, {"ref": "dldbsgod/house", "kernel_id": "113036918"}, {"ref": "jeontaeyoung/first", "kernel_id": "113033684"}, {"ref": "jinjoonkim/salepricemodel1", "kernel_id": "113085128"}, {"ref": "sawon0418/examining-your-data", "kernel_id": "113097839"}, {"ref": "sawon0418/please", "kernel_id": "113184458"}, {"ref": "uue726/house-prices-linear-regression", "kernel_id": "113227744"}, {"ref": "paekyeonseo/2023500031-5", "kernel_id": "113113598"}, {"ref": "abdelghanyhassanmo/house-prices-advanced-regression-data-cleaning", "kernel_id": "113221284"}, {"ref": "hhww4953/houseprice", "kernel_id": "113173090"}, {"ref": "eomjieun/notebook05473aac87", "kernel_id": "113183283"}, {"ref": "d03020522/2023500003-5", "kernel_id": "113253655"}, {"ref": "darkmatternet/feature-engineering-encyclopedia-50-techniques", "kernel_id": "113933385"}, {"ref": "miguelviannay/house-prices-miguel-viannay", "kernel_id": "113649146"}, {"ref": "whitelily/pandas", "kernel_id": "114416745"}, {"ref": "ameythakur20/house-prices-stacked-ensemble-regression-pipeline", "kernel_id": "114059311"}, {"ref": "violetacarvalho/house-prices-lasso-regression", "kernel_id": "114791110"}, {"ref": "abbas829/house-prices-eda", "kernel_id": "114982316"}, {"ref": "raist321/house-prices-regression", "kernel_id": "114974155"}, {"ref": "sushmichukka/house-prices-regression-complete-guide", "kernel_id": "114161371"}, {"ref": "mathematics2/kadai7-2", "kernel_id": "114196256"}, {"ref": "bourtacheikram/mlproject-version2", "kernel_id": "114705551"}, {"ref": "aser189/notebook166bc908f6", "kernel_id": "114267988"}, {"ref": "reeves445/notebook826188c5e0", "kernel_id": "114042507"}, {"ref": "aloneintokyo11/house-prices-regression-with-pytorch", "kernel_id": "114382116"}, {"ref": "qwerty1234123424/notebook10293ec6f7", "kernel_id": "114295474"}, {"ref": "burakkn/house-prices", "kernel_id": "114762897"}, {"ref": "atharshsu/svr-2", "kernel_id": "114159112"}, {"ref": "dr1114/notebookcfb0f9932e", "kernel_id": "114351406"}, {"ref": "lakshya3690/notebookd5c5e4a76f", "kernel_id": "114892548"}, {"ref": "devashish001/house-predictions-notebook", "kernel_id": "114995147"}, {"ref": "jacowyj/basic-house-price-analysis", "kernel_id": "114563458"}, {"ref": "wakizashe/very-simple-neural-network-regression-faa141", "kernel_id": "114180916"}, {"ref": "teenask/gunjan-verma", "kernel_id": "114740075"}, {"ref": "nadamohammedhasan/regressiontask", "kernel_id": "114145589"}, {"ref": "mohamedelotmany/house-price-prediction-using-machine-learning", "kernel_id": "114683390"}, {"ref": "abdelazizomarrr/house-price-prediction", "kernel_id": "114941281"}, {"ref": "murtazaabdullah2010/house-price-advanced-regression-techniques", "kernel_id": "114541540"}, {"ref": "mohit78241/exact-row-matching-engine-0-00044", "kernel_id": "114669073"}, {"ref": "lucalullo/house-prices", "kernel_id": "114190956"}, {"ref": "boreddesperado/prediction-using-advanced-regression-models", "kernel_id": "114661015"}, {"ref": "janazienaldeen/lab4ml", "kernel_id": "114666562"}, {"ref": "wasan16/notebookb987220d64", "kernel_id": "114599128"}, {"ref": "moon958968/lab-4-house-prices-feature-engineering-regula", "kernel_id": "114688748"}, {"ref": "aditigupta101/notebook2313ecf94c", "kernel_id": "114822609"}, {"ref": "aditigupta101/notebook3cb0843d89", "kernel_id": "114828334"}, {"ref": "aditigupta101/notebook50f44bc2da", "kernel_id": "114827648"}, {"ref": "dhayalharthi/notebook450fe5325c", "kernel_id": "114799506"}, {"ref": "dhayalharthi/notebook9a621879f3", "kernel_id": "114798272"}, {"ref": "haneenalgarni/submission-lab4", "kernel_id": "114670163"}, {"ref": "rosewail/lapp3", "kernel_id": "114790708"}, {"ref": "gyoudi/lab-4", "kernel_id": "114623048"}, {"ref": "alamoudisaja/house-prices-regression", "kernel_id": "114793109"}, {"ref": "alamoudisaja/lab-4-house-prices-regression", "kernel_id": "114625598"}, {"ref": "talaalrifai/lab-4-feature-engineering-regularization", "kernel_id": "114627129"}, {"ref": "talaalrifai/lap44", "kernel_id": "114671048"}, {"ref": "janazahrani/lab4-house-price-feature-engineering", "kernel_id": "114798943"}, {"ref": "d15nee/notebookbfd1766b5a", "kernel_id": "114249423"}, {"ref": "janadsahmed/ml-lab4", "kernel_id": "114634529"}, {"ref": "dortrra/lappp3", "kernel_id": "114374115"}, {"ref": "dortrra/lappp4", "kernel_id": "114382281"}, {"ref": "retajalashaqr/lab4ret", "kernel_id": "114627715"}, {"ref": "retajalashaqr/lab3ret", "kernel_id": "114626181"}, {"ref": "lili123i/lab-4-house-prices-feature-engineering-regula", "kernel_id": "114800049"}, {"ref": "ayayonh/lab4-house-prices-advanced-regression-techniques", "kernel_id": "114677012"}, {"ref": "itez739/lab4-house-prices", "kernel_id": "114618242"}, {"ref": "falconabushal/notebook7a04ac330d", "kernel_id": "114099659"}, {"ref": "tushardobal/advanced-feature-engineering-model-tuning", "kernel_id": "114089368"}, {"ref": "raoahsaanmaniii/ames-housing-stacking-blending-v2", "kernel_id": "114365205"}, {"ref": "raoahsaanmaniii/best-house-prices-prediction-notebook", "kernel_id": "114469655"}, {"ref": "raoahsaanmaniii/house-prices-top1-stacking", "kernel_id": "114481937"}, {"ref": "bbaayan/lab3-4-vr2", "kernel_id": "114803133"}, {"ref": "mimiobaid/lab-4-house-prices-feature-engineering-regula", "kernel_id": "114575023"}, {"ref": "raneemowead/lab-4house-prices", "kernel_id": "114693161"}, {"ref": "ghadofabdulrahman/lab3lab4b", "kernel_id": "114641256"}, {"ref": "leenasiri/lab442", "kernel_id": "114041690"}, {"ref": "shvidtk/lab03", "kernel_id": "114587573"}, {"ref": "joudaljoudi/lab4-ml", "kernel_id": "114620044"}, {"ref": "joudaljoudi/lab4-2-ml", "kernel_id": "114657376"}, {"ref": "rawansd/lab-3-4", "kernel_id": "114590113"}, {"ref": "onlyrory88/lab-4", "kernel_id": "114798369"}, {"ref": "onlyrory88/lab33", "kernel_id": "114648395"}, {"ref": "reemalhsnani/lab-4", "kernel_id": "114648898"}, {"ref": "maathrealharthy/lab-4", "kernel_id": "114453939"}, {"ref": "shouqturki/lab-3shouq", "kernel_id": "114545044"}, {"ref": "shouqturki/lab-4", "kernel_id": "114552472"}, {"ref": "mzonsaud/lab-4", "kernel_id": "114517002"}, {"ref": "maryy45/lab4-house-prices", "kernel_id": "114629296"}, {"ref": "i6vxl1/lab3-4", "kernel_id": "114580470"}, {"ref": "reemas111/lab444", "kernel_id": "114667740"}, {"ref": "joujkou/lab44", "kernel_id": "114648433"}, {"ref": "reham487/lab3-house-prces-reression", "kernel_id": "114801804"}, {"ref": "dananaif/lab-4-house-prices-feature-engineering-regula", "kernel_id": "114887397"}, {"ref": "dananaif/lab-3and4-house-prices-regression", "kernel_id": "114894100"}, {"ref": "lamiiiro/lab3-4-house-price-regression", "kernel_id": "114897445"}, {"ref": "ramazanulus/house-price-regression", "kernel_id": "114129361"}, {"ref": "daliadodo/lab-3-house-prices-regression", "kernel_id": "114124494"}, {"ref": "khulood99/lab4-house-prices-feature-engineering-regulari", "kernel_id": "114788270"}, {"ref": "amoona57/lab3-and-4", "kernel_id": "114825411"}, {"ref": "faatimh/lab3-house-prices-regession", "kernel_id": "114260674"}, {"ref": "idasr21/lab-4", "kernel_id": "114661507"}, {"ref": "kenzenk1ongorong/linear-2902702523", "kernel_id": "114941846"}, {"ref": "raniaalqurashi/lab-4-house-prices-feature-engineering-regula", "kernel_id": "114892558"}, {"ref": "raniaalqurashi/lab-3-house-prices-regression", "kernel_id": "114890655"}, {"ref": "imenaouicha/mlproject", "kernel_id": "114465577"}, {"ref": "imenaouicha/projet-3-ml", "kernel_id": "114714200"}, {"ref": "imenaouicha/ml-2-pro", "kernel_id": "114779753"}, {"ref": "imenaouicha/ml-projet-3", "kernel_id": "114861073"}, {"ref": "imenaouicha/porjet-3-ml", "kernel_id": "114795610"}, {"ref": "imenaouicha/projet-ml-n-3", "kernel_id": "114806822"}, {"ref": "rhaymsys/ghellab-medjdoub-projet-3", "kernel_id": "114995052"}, {"ref": "saraharhab/projetml", "kernel_id": "114424442"}, {"ref": "divyasreelekha/task1", "kernel_id": "114659571"}, {"ref": "nguyntinduy/btvn-house-prices", "kernel_id": "114476869"}, {"ref": "reemalasmari1406/lab-4-ml", "kernel_id": "114647628"}, {"ref": "reemalasmari1406/lab3-2-ml", "kernel_id": "114658998"}, {"ref": "reemalasmari1406/lab-3-ml", "kernel_id": "114617427"}, {"ref": "renemelendez/melendez-cc3-project2", "kernel_id": "114611323"}, {"ref": "huynq2908/notebook4672c9b44a", "kernel_id": "114106066"}, {"ref": "buicongthanh11102007/notebook928250c138", "kernel_id": "114848455"}, {"ref": "taihongoc/notebook3149246ecf", "kernel_id": "114794454"}, {"ref": "qunhlhoitrc/nh-m-4-house-price", "kernel_id": "114823299"}, {"ref": "fredguido/house-prices-predictions-v1", "kernel_id": "114772368"}, {"ref": "vikaschaudhary08/notebooke217aeff48", "kernel_id": "114669212"}, {"ref": "aasthacoeru/aastha-cu24220136-sec-b", "kernel_id": "114699309"}, {"ref": "manvicoeru/notebookacd2b65e3d", "kernel_id": "114801467"}, {"ref": "sulafalghamdiiii/lap-4", "kernel_id": "114988642"}, {"ref": "rocetdev/home-price-prediction", "kernel_id": "115211413"}, {"ref": "pokurisrimahalakshmi/salepriceprediction-sml", "kernel_id": "115937325"}, {"ref": "mdatiqueeb19102057/regularization-fa25-msds-0010", "kernel_id": "115827078"}, {"ref": "shubhamdecode/advance-house-price-prediction", "kernel_id": "115518239"}, {"ref": "ulkapatel/regression", "kernel_id": "115202587"}, {"ref": "sushmichukka/house-prices-advanced-regression-starter", "kernel_id": "115096651"}, {"ref": "ojassingwi/notebook-decision-tree", "kernel_id": "115002621"}, {"ref": "ojassingwi/notebook-model-comparison", "kernel_id": "115003314"}, {"ref": "ojassingwi/notebook-knn-model", "kernel_id": "115001583"}, {"ref": "patrycjagociniak/house-prices-prediction-eda-fe-cv-tuning", "kernel_id": "115956867"}, {"ref": "sustrismr/houseprices-sustri-elina-simamora-3012310040", "kernel_id": "115645079"}, {"ref": "fluuvys/notebookb4bc373fa8", "kernel_id": "115251896"}, {"ref": "oleksiyfilipovych/house-prices-advanced-ensembles", "kernel_id": "115539224"}, {"ref": "oleksiyfilipovych/house-prices-advanced-regression-optuna-tuning", "kernel_id": "115520380"}, {"ref": "amgadalhsaani/notebook8450ed16c7", "kernel_id": "115008572"}, {"ref": "vanshkamra/house-prices-eda-stacking", "kernel_id": "115469157"}, {"ref": "shahzaibali01/house-prices-xgboost-tuned-r-0-87-mape-9-2", "kernel_id": "115762460"}, {"ref": "chocobunbun/notebook87bcc69958", "kernel_id": "115741057"}, {"ref": "abdalaziz23/house", "kernel_id": "115428225"}, {"ref": "alexeyklikushyn/house-prices-predictions", "kernel_id": "115797968"}, {"ref": "bekzhanryspekov/notebookf9620e88d9", "kernel_id": "115189714"}, {"ref": "dhayalharthi/lab22", "kernel_id": "115376270"}, {"ref": "noraalwayili/lab-3-house-prices-regression", "kernel_id": "115011602"}, {"ref": "d15nee/notebook8450ed16c7", "kernel_id": "115005811"}, {"ref": "etharshaher/lab-3-house-prices-regression", "kernel_id": "115006118"}, {"ref": "hackerh1/fork-of-lab03-3d698e-0163e6", "kernel_id": "115641798"}, {"ref": "eilla31/lab-3-house-prices-regression", "kernel_id": "115163548"}, {"ref": "eilla31/lab-4-house-prices-feature-engineering", "kernel_id": "115869206"}, {"ref": "rynad702/lap-3-house-prices-regression", "kernel_id": "115069795"}, {"ref": "poojachalla10/end-to-end-house-price-predictn-using-scikit-learn", "kernel_id": "115788593"}, {"ref": "ghadofabdulrahman/labl34", "kernel_id": "115389874"}, {"ref": "nicolasfiore/house-prices", "kernel_id": "115365336"}, {"ref": "njoudmohammedsalih/lab-4-house-prices-feature-engineering-regula", "kernel_id": "115887400"}, {"ref": "faatimh/lab-3-4-6c1cae", "kernel_id": "115007828"}, {"ref": "manaralmatrafi0011/lab04", "kernel_id": "115147725"}, {"ref": "manaralmatrafi0011/lab03", "kernel_id": "115145075"}, {"ref": "joj444/lab-3-4", "kernel_id": "115006202"}, {"ref": "imenaouicha/projet-ml-3", "kernel_id": "115237199"}, {"ref": "imenaouicha/aouicha-arhab-bourtache-kezmane-projet-3", "kernel_id": "115553571"}, {"ref": "ahmedkhaled168/notebook7c63d3d447", "kernel_id": "115180931"}, {"ref": "tudorbeloiu/stacked-xgb-lgbm-0-12194", "kernel_id": "115430975"}, {"ref": "kemtarokem/notebookaa05c18c37", "kernel_id": "115663128"}, {"ref": "ravikiranbalebilalu/house-price", "kernel_id": "115727933"}, {"ref": "alexdemkin/notebooke65203d848", "kernel_id": "115835496"}, {"ref": "abilioai/house-prices-ridge", "kernel_id": "115393297"}, {"ref": "buicongthanh11102007/notebook678a9ea0b1", "kernel_id": "115970065"}, {"ref": "nguyenledanthanh/dubaogianha-nhom6", "kernel_id": "115929405"}, {"ref": "wajd240/lap4f", "kernel_id": "115955705"}, {"ref": "parkminho3/house-price-prediction", "kernel_id": "115604830"}, {"ref": "mdsamir26202777/complete-ml-pipeline-for-house-price-prediction", "kernel_id": "115605874"}, {"ref": "s1drtx/crisp-dm-workflow-house-pricing", "kernel_id": "115624114"}, {"ref": "plagiagia/house-prices-ridge-lgb-baseline-v2", "kernel_id": "116891056"}, {"ref": "plagiagia/house-prices-ridge-lgb-baseline-v3", "kernel_id": "116891147"}, {"ref": "plagiagia/house-prices-ridge-lgb-baseline-v4", "kernel_id": "116891230"}, {"ref": "plagiagia/house-prices-ridge-lgb-baseline", "kernel_id": "116890964"}, {"ref": "plagiagia/house-prices-ridge-lgb-baseline-v5", "kernel_id": "116891416"}, {"ref": "plagiagia/house-prices-ridge-lgb-baseline-v6", "kernel_id": "116891561"}, {"ref": "visualcomments/webinar-02-regression-step-by-step", "kernel_id": "116493373"}, {"ref": "ahmedshaykhon/house-prices-vif-analysis-assignment-2", "kernel_id": "116430640"}, {"ref": "ahmedshaykhon/fatma-shaykhon-assignment-1", "kernel_id": "116531526"}, {"ref": "saikiran7135/house-prices-prediction", "kernel_id": "116943708"}, {"ref": "abbas829/feature-engineering-mastery", "kernel_id": "116466523"}, {"ref": "jayasingh12/version-1-house-prices-prediction", "kernel_id": "116129985"}, {"ref": "mathematics2/kadai7-3-v6", "kernel_id": "116814355"}, {"ref": "mathematics2/kadai7-3-v5", "kernel_id": "116158707"}, {"ref": "malek545/regression-analysis", "kernel_id": "116766347"}, {"ref": "pranayshete/house-price-notebook", "kernel_id": "116778306"}, {"ref": "miyachi/house-prices-demo-20-04", "kernel_id": "116717123"}, {"ref": "sayedkhaled2000/house-price-optuna-tunnig-stacking-ensemble", "kernel_id": "116895686"}, {"ref": "odaiawad/house-pricing", "kernel_id": "116633069"}, {"ref": "sustrismr/polynomial-regression-3012310040-sustri-elina", "kernel_id": "116210415"}, {"ref": "mostafa312/project-92-salepricec", "kernel_id": "116687680"}, {"ref": "sharkovskyi/house-prices-prediction", "kernel_id": "116370029"}, {"ref": "sharkovskyi/house-prices-advanced-prediction", "kernel_id": "116397323"}, {"ref": "bogdangavriuk/house-prices-prediction-using-ml-models", "kernel_id": "116095441"}, {"ref": "hinphngvquc/notebook0e9db238f3", "kernel_id": "116419858"}, {"ref": "storres9371/house-prices-advanced-regression-competition-not", "kernel_id": "116238749"}, {"ref": "chuminhhin/house-price-predection", "kernel_id": "116202947"}, {"ref": "manireddy45/analysis-xgboost-begineer-friendly", "kernel_id": "116607326"}, {"ref": "justin2009/notebook291aa8d7a2", "kernel_id": "116964954"}, {"ref": "mayarkm/lab-4-house-prices-feature-engineering-regula", "kernel_id": "116499067"}, {"ref": "ohuykhi/house-price", "kernel_id": "116738410"}, {"ref": "antonsuseno/house-predict-with-gbr-shap", "kernel_id": "116869698"}, {"ref": "ahmadwaleed003/house-pricing-advanced", "kernel_id": "116758435"}, {"ref": "rongkyhosea/house-price-competition", "kernel_id": "116300012"}, {"ref": "rongkyhosea/prediction-house-competition", "kernel_id": "116634042"}, {"ref": "azkadanishkayana/house-prices-adk1", "kernel_id": "116106385"}, {"ref": "himamehta15/ml-workflow-demonstration-workshop-based", "kernel_id": "116395121"}, {"ref": "jek1wantaufik/house-prices-gbm-pipeline-with-rounded-output", "kernel_id": "116689314"}, {"ref": "malomosodiq/notebook60e6179ea3", "kernel_id": "116634479"}, {"ref": "cngnguy3413/du-doan-gia-nha", "kernel_id": "116189472"}, {"ref": "sunnyluna777/notebook10220d7207", "kernel_id": "116277611"}, {"ref": "davidmarkawad/house-prices-advanced-regression-techniques", "kernel_id": "116329575"}, {"ref": "janhavisonawane17/house-of-prediction", "kernel_id": "116526693"}, {"ref": "aatsuhi/kaggle-tutorial-250616-house-price", "kernel_id": "116601978"}, {"ref": "rarirurero0000/kaggle-tutorial-250616-house-price", "kernel_id": "116601977"}, {"ref": "kamidaikki/kaggle-tutorial-250616-house-price-94e437", "kernel_id": "116604191"}, {"ref": "mtsnow/kaggle-tutorial-250616-house-price", "kernel_id": "116601986"}, {"ref": "mtsnow/kaggle-tutorial-250616-house-price-5be60b-nn", "kernel_id": "116707571"}, {"ref": "rotimiewulo/housing-dataset", "kernel_id": "117415201"}, {"ref": "mahalakshmiphaldesai/house-prices-eda-missing-values-correlations", "kernel_id": "117694341"}, {"ref": "jake666/house-prices-advanced-regression-techniques", "kernel_id": "117645916"}, {"ref": "singhmasoom/ames-housing-eda-what-drives-real-estate-value", "kernel_id": "117165810"}, {"ref": "ramam94/house-price-prediction", "kernel_id": "117372311"}, {"ref": "hasanpireci/house-prices-stacking-ensemble-optuna-top-3", "kernel_id": "117897808"}, {"ref": "arsalanhashmi7/house-prices-sql-advanced-regression-pipeline", "kernel_id": "117337051"}, {"ref": "maedehizadi/house-price-prediction", "kernel_id": "117079740"}, {"ref": "mtoshidesu/0-00044-house-price-competition", "kernel_id": "117049012"}, {"ref": "sohybe/house-prices-prediction-using-comparative-modeling", "kernel_id": "117139117"}, {"ref": "krishapipalva/house-price", "kernel_id": "117060692"}, {"ref": "gabrielnsj/predicting-house-prices-a-data-driven-approach", "kernel_id": "117622582"}, {"ref": "ghulammurtaza1/house-prices-advanced-regression", "kernel_id": "117571091"}, {"ref": "shrikantlala/feature-engineering", "kernel_id": "117689117"}, {"ref": "mohitsharadraogawali/real-estate-valuation-engine", "kernel_id": "117406630"}, {"ref": "mixp123/house-price-predict", "kernel_id": "117911304"}, {"ref": "mayarkm/lab-4-house-prices", "kernel_id": "117809707"}, {"ref": "mayarkm/lab-3-house-prices-regression", "kernel_id": "117805952"}, {"ref": "prabhat8799/house-price-prediction-advance-liner-regression", "kernel_id": "117931493"}, {"ref": "lezso84/house-prices-gradient-boosting-submission", "kernel_id": "117115475"}, {"ref": "kartiknimawat/notebook1d8e3d76a4", "kernel_id": "117362093"}, {"ref": "ikramsaidane/notebook8d15d0a8c1", "kernel_id": "117051056"}, {"ref": "yunussgultekiin/house-prices-advanced-regression-techniques", "kernel_id": "117664193"}, {"ref": "thanhx109/bai2mlai", "kernel_id": "117928171"}, {"ref": "alcevl/house-price", "kernel_id": "117295808"}, {"ref": "samuelyhuang2023/house-prices-advanced-regression-random-forest", "kernel_id": "117455053"}, {"ref": "samuelyhuang2023/fast-house-prices-ensemble-lightgbm-xgboost-r", "kernel_id": "117458800"}, {"ref": "jummanalnahian/house-prices-prediction-using-kerasregressor", "kernel_id": "117234035"}, {"ref": "tooflykayy/machine-learning-project-makayla-waleed", "kernel_id": "117377347"}, {"ref": "putrisaviria/urban-patterns-in-ames-real-estate", "kernel_id": "117554286"}, {"ref": "vedpatel45/notebook80c4efe31c", "kernel_id": "117638087"}, {"ref": "robitalhazmi/house-prices-advanced-regression-techniques-2026", "kernel_id": "118592437"}, {"ref": "ravi20076/houseprices-public-blend-v1", "kernel_id": "118591782"}, {"ref": "cleall/housepricing-xgb", "kernel_id": "118416903"}, {"ref": "shiva22btcse0007/house-price-prediction", "kernel_id": "118506840"}, {"ref": "mdirfanhakimbhuiyan/notebook3af05f0818", "kernel_id": "118499470"}, {"ref": "rijabhomi/house-price-prediction", "kernel_id": "118375114"}, {"ref": "ishankansara/house-saleprice-prediction-0-89", "kernel_id": "118992355"}, {"ref": "yacine1148/house-prices-prediction-model", "kernel_id": "118072770"}, {"ref": "malavikakrish/house-price-prediction", "kernel_id": "118223060"}, {"ref": "sanikahajare76/houseprice", "kernel_id": "118295316"}, {"ref": "harshwardhan56/svm-regression", "kernel_id": "118004640"}, {"ref": "worenne/notebookc419d581b5", "kernel_id": "118232634"}, {"ref": "sharkddd/house-price", "kernel_id": "118233300"}, {"ref": "zeyvwa/notebookc98bf3d44b", "kernel_id": "118233617"}, {"ref": "xinxinlei/notebook", "kernel_id": "118249180"}, {"ref": "muhammadhanzla1234/house-price-prediction-advanced-regression", "kernel_id": "118424496"}, {"ref": "jaquarjayesh/notebookf4dafcac43", "kernel_id": "118262926"}, {"ref": "hideself/house-prices-regression-predict", "kernel_id": "118328227"}, {"ref": "egorelovenko/house-prices-baseline-random-forest", "kernel_id": "118795750"}, {"ref": "ankushg007/best-model-selection-price-prediction", "kernel_id": "118414553"}, {"ref": "ankushg007/prediction-fixed", "kernel_id": "118412228"}, {"ref": "huynhtabdung/saleprice-lab2", "kernel_id": "118757558"}, {"ref": "honhatdinh/tt-ai-02-saleprice", "kernel_id": "118763284"}, {"ref": "phamcuong211/2-03-ph-m-th-c-ng", "kernel_id": "118038877"}, {"ref": "ththunyhunh/b-i-2-al", "kernel_id": "118640896"}, {"ref": "annguyencherry/house-price-model", "kernel_id": "118472711"}, {"ref": "dimitrisx94/feature-engineering-for-house-prices", "kernel_id": "118067872"}, {"ref": "samuelyhuang2023/house-prices-advanced-synthetic-dataset", "kernel_id": "118557990"}, {"ref": "samuelyhuang2023/decision-tree-visuals", "kernel_id": "118446535"}, {"ref": "samuelyhuang2023/feature-engineering-ensemble-submission", "kernel_id": "118446162"}, {"ref": "samuelyhuang2023/house-prices-tutorial", "kernel_id": "118210356"}, {"ref": "joshinkthomas/house-price-prediction", "kernel_id": "118223578"}, {"ref": "daniyadennis/house-price-prediction", "kernel_id": "118227355"}, {"ref": "mehdidata2026/house-price-analysis", "kernel_id": "118290212"}, {"ref": "ahmedmedhat72/notebookd8e2049b9d", "kernel_id": "118514157"}, {"ref": "zaferaydin/ece-564-homework-3-template", "kernel_id": "119840110"}, {"ref": "biruk1230/house-prices-first-kaggle-submission", "kernel_id": "119853241"}, {"ref": "doruk0bulut/house-price-prediction", "kernel_id": "119373939"}, {"ref": "goodpjw2008/house-prices-xgb-cat-lgb-etc-0-12111", "kernel_id": "119253771"}, {"ref": "kirillgubkin/0-11923-house-prices-ridge-lightgbm-ensemble", "kernel_id": "119799777"}, {"ref": "ishaansingla04/first-actual-regression-work", "kernel_id": "119560373"}, {"ref": "bogdangavriuk/real-estate-price-prediction-ml", "kernel_id": "119688594"}, {"ref": "abhijeetmehla/house-prices", "kernel_id": "119339398"}, {"ref": "rishiankathi/house-price-prediction", "kernel_id": "119621618"}, {"ref": "nikhilbonthat4353/house-price-prediction-using-linear-regression", "kernel_id": "119388310"}, {"ref": "thowfiq041/house-price-prediction-eda-feature-engineering", "kernel_id": "119579764"}, {"ref": "clover12321/notebook28e6985acb", "kernel_id": "119782844"}, {"ref": "moshiur01/house-prices-advanced-regression-techniques", "kernel_id": "119594027"}, {"ref": "wangfangmin/notebook3321", "kernel_id": "119204773"}, {"ref": "wangfangmin/notebook6abbd93573", "kernel_id": "119446572"}, {"ref": "vudaoanh/phan-tich-gia-nha", "kernel_id": "119282652"}, {"ref": "basaktamer/house-prices-advanced-regression-techniques", "kernel_id": "119349168"}, {"ref": "hakankahraman571/house-price-prediction-with-machine-learning", "kernel_id": "119020785"}, {"ref": "hakankahraman571/house-price-prediction-using-machine-learning-mode", "kernel_id": "119233115"}, {"ref": "ankushg007/nn-pipeline-house-price-prediction", "kernel_id": "119389820"}, {"ref": "dkoerl/notebook-3ai", "kernel_id": "119031986"}, {"ref": "trunkdabest/ttmlai-session2-houseprice", "kernel_id": "119670584"}, {"ref": "tranthianhthu123/tt-ai-b2", "kernel_id": "119352396"}, {"ref": "chandupatel3/house-price-prediction-xgboost-vs-random-forest", "kernel_id": "119591832"}, {"ref": "lalitacanada/house-price-prediction-machine-learning", "kernel_id": "119764377"}, {"ref": "keyurshah356/advanced-house-price-prediction", "kernel_id": "119035703"}, {"ref": "argyroselene/d2-houseprices", "kernel_id": "119393368"}, {"ref": "samsungamirsuefiras/projectnb", "kernel_id": "119967075"}, {"ref": "pavithra1412/housing-price-prediction-random-forest", "kernel_id": "120561266"}, {"ref": "jesusherrera136/modelo-house-prices", "kernel_id": "120829958"}, {"ref": "shadesh/lightgbm-full-eda-pipeline", "kernel_id": "120052482"}, {"ref": "damilolamicheal/ames-housing-project", "kernel_id": "120233417"}, {"ref": "deep262003/0-15652-lightgbm-house-prices", "kernel_id": "120207262"}, {"ref": "anasriaz/house-prices-advanced-regression-techniques", "kernel_id": "120291542"}, {"ref": "aamir28/house-prices-regression-benchmark", "kernel_id": "120339086"}, {"ref": "taswishahpar/house-prices-ridge-xgboost", "kernel_id": "120724911"}, {"ref": "avixin/housing-price-prediction", "kernel_id": "120312079"}, {"ref": "ezhilbharghavi/house-prices", "kernel_id": "120955566"}, {"ref": "ankitkumar8252/house-prices-advanced-regression-techniques", "kernel_id": "120623087"}, {"ref": "himadri07/houseprices-notebook", "kernel_id": "120422517"}, {"ref": "thinkrunner/notebook7f7c063978", "kernel_id": "120215271"}, {"ref": "tecemono/notebook8c09562a27", "kernel_id": "120108061"}, {"ref": "babisol/notebooke8fe47af04", "kernel_id": "120598387"}, {"ref": "raniaalqurashi/fainalproject", "kernel_id": "120789808"}, {"ref": "tmnff0/notebook41fbcca9a8", "kernel_id": "120141741"}, {"ref": "krmruthyunjaya/house-pricing", "kernel_id": "120163570"}, {"ref": "adrianstasiakroels/house-prices-using-a-random-forest", "kernel_id": "120864074"}, {"ref": "wenxiangkun/house-prices", "kernel_id": "120192556"}, {"ref": "w683kcevnqg6/kaggle-house-polished", "kernel_id": "120575727"}, {"ref": "marcusvssoares/notebook49ae1f5a88", "kernel_id": "120689990"}, {"ref": "brookdach/notebook2065c2a695", "kernel_id": "120339187"}, {"ref": "abdu11ahameer/notebookd8b88fa52b", "kernel_id": "120422908"}, {"ref": "sachin7740/notebook6f4e1dc009", "kernel_id": "120085269"}, {"ref": "alaning/notebooke401e166c9", "kernel_id": "120548248"}, {"ref": "kliujiayan/real-estate-xgboost-lightgbm-catboost-ridge", "kernel_id": "121330682"}, {"ref": "dedquoc/robust-eda-optuna-lightgbm-ensemble-blend", "kernel_id": "121253643"}, {"ref": "neelkachalia/house-prices-prediction-using-tfdf", "kernel_id": "121594976"}, {"ref": "ganeshbora/notebook9d6d693e92", "kernel_id": "121428210"}, {"ref": "singlahemant/house-price-advanced-regression-analysis", "kernel_id": "121904407"}, {"ref": "olgajackson/assignment4-regression", "kernel_id": "121341780"}, {"ref": "vishaltripathy2023/house-prices-notebook", "kernel_id": "121899040"}, {"ref": "evgendvorkin/catboost-0-11947", "kernel_id": "121094258"}, {"ref": "hamzanaobahar/applying-function-transformers", "kernel_id": "121891482"}, {"ref": "absaied/first-participation", "kernel_id": "121475268"}, {"ref": "seonahryu/py-t1-4-expected-questions", "kernel_id": "121924824"}, {"ref": "qjshen/house-price-predictions-basic-using-scikit-learn", "kernel_id": "121143973"}, {"ref": "kushpuri/guide-for-comprehensive-data-exploration-in-python", "kernel_id": "121267523"}, {"ref": "hoodrichpirobo/feature-engineering-for-house-prices", "kernel_id": "121908424"}, {"ref": "novilaarya/house-price-prediction-using-pytorch", "kernel_id": "121398931"}, {"ref": "kevsernurkiraz/ece567-final-project-clean-ipynb", "kernel_id": "121414140"}, {"ref": "imanyunarnoviadhi/cheatsheet-70-ggplot-charts", "kernel_id": "121541031"}, {"ref": "dhirendra7in/housing-price", "kernel_id": "121263436"}, {"ref": "srisairishita/house-price-prediction", "kernel_id": "121873767"}, {"ref": "kaziamirhamza/gradient-decent-linear-regression-univariate", "kernel_id": "121666113"}, {"ref": "kaziamirhamza/gradient-decent-linear-regression-multivariate", "kernel_id": "121669874"}, {"ref": "pycoderthor/house-reg", "kernel_id": "121072301"}, {"ref": "clover12321/notebookb6e5dfb2ad", "kernel_id": "121978597"}, {"ref": "zhihaohuan/notebookf809c605a0", "kernel_id": "121887511"}, {"ref": "cemileceylan/supervised-learning-for-house-price-prediction", "kernel_id": "121506470"}, {"ref": "abeeralzebda/house-prices-prediction", "kernel_id": "121161996"}, {"ref": "dishasejpal/notebook649eb4042f", "kernel_id": "121388825"}, {"ref": "wugawuga2/house-prices-two-stage-model", "kernel_id": "121667050"}, {"ref": "rajashekharreddy227/house-price-prediction", "kernel_id": "121384405"}, {"ref": "d15nee/lab-7", "kernel_id": "121066332"}, {"ref": "yajatpawar/housing-prices-top-250-full-ml-pipeline", "kernel_id": "121099541"}, {"ref": "noman002/house-prices-prediction-xgboost-pipeline", "kernel_id": "121608540"}, {"ref": "pankajmaury/house-prices-prediction-using-tfdf", "kernel_id": "121523099"}, {"ref": "zhuangziting94/notebookdd9c173ae0", "kernel_id": "121483496"}, {"ref": "joymietalicuad/tfdf-on-the-house-prices", "kernel_id": "121179978"}, {"ref": "lujainmateen/notebook528f20a5d8", "kernel_id": "121816710"}, {"ref": "masarutahara/notebookeb5bf9ab4f", "kernel_id": "121056805"}, {"ref": "abdelrahmaneng/house-prices-competition-analysis", "kernel_id": "121620020"}, {"ref": "raja4652/notebook78707da9f7", "kernel_id": "121078277"}, {"ref": "shestakovanton/house-prices-first-kaggle-submission", "kernel_id": "121360214"}, {"ref": "jiahuilin6354/notebook96bb0d4bfc", "kernel_id": "121684351"}, {"ref": "jiahuilin6354/notebooka2eec1841b", "kernel_id": "121680807"}, {"ref": "lcx124174/first-book", "kernel_id": "121743769"}, {"ref": "kbpooja/getting-started-with-titanic", "kernel_id": "122136736"}, {"ref": "mahindhsuriyakumar/notebook1746767daf", "kernel_id": "122772594"}, {"ref": "leahmarymathew/house-prices-a-guide-to-feature-engine", "kernel_id": "122069943"}, {"ref": "soumyatiw/house-prices-advanced-regression", "kernel_id": "122175512"}, {"ref": "deepaksacso/house-price-compition", "kernel_id": "122529678"}, {"ref": "ilyastrigunkov/my-first-eda-with-machine-learning", "kernel_id": "122937721"}, {"ref": "iriyablood/not-all-nans-are-equal-ames-housing-deep-dive", "kernel_id": "122116181"}, {"ref": "a01770225/house", "kernel_id": "122457586"}, {"ref": "sandeepchandel232/notebookceac442408", "kernel_id": "122970587"}, {"ref": "prantamohajan/notebook310757fbe6", "kernel_id": "122043694"}, {"ref": "marcusvssoares/notebooka58ec1dee7", "kernel_id": "122916166"}, {"ref": "tecet1111/py-t1-4", "kernel_id": "122490543"}, {"ref": "bastienste/house-pricing", "kernel_id": "122010920"}, {"ref": "owen1024/notebook14559b2729", "kernel_id": "122074697"}, {"ref": "nishwanth12/notebookd27bd83fce", "kernel_id": "122057484"}, {"ref": "callumbuchan/house-price-competition", "kernel_id": "122001178"}, {"ref": "jingyangdaisss/fangjiayuce", "kernel_id": "122903729"}, {"ref": "devs69/devs69-kaggle-02-house-prices-baseline", "kernel_id": "122376394"}, {"ref": "alielhenidy/session-6-pandas-tutorial", "kernel_id": "123282663"}, {"ref": "nikitachubai/house-prices-prediction", "kernel_id": "123872552"}, {"ref": "gowrishankarp/ames-housing-missingness-23001zr5", "kernel_id": "123746215"}, {"ref": "eltonnichols/notebookcd1b89c4e1", "kernel_id": "123579266"}, {"ref": "kotleha/house-prices-eda-feature-engineering-xgboost", "kernel_id": "123669660"}, {"ref": "foxtrickster/ames-house-prices-storytelling-eda-robust-stack", "kernel_id": "123254402"}, {"ref": "starmars/notebookc8ebf9d564", "kernel_id": "123187168"}, {"ref": "nishantdiwate/house-prices-complete-eda-feature-engineering", "kernel_id": "123658162"}, {"ref": "nathnael6/notebooka387afd17f", "kernel_id": "123476685"}, {"ref": "momoneykahlon/house-price", "kernel_id": "123463476"}, {"ref": "rtalalluhybi/lab4-house-prices", "kernel_id": "123651628"}, {"ref": "rtalalluhybi/lab-4-edit", "kernel_id": "123571798"}, {"ref": "babettiejuwayeyi/notebookeff9ce90bd", "kernel_id": "123105227"}, {"ref": "zhenruiweng/house-prices-prediction-bayes-regression-pymc", "kernel_id": "123257047"}, {"ref": "seekerpragya/end-to-end-house-price-prediction-pipeline", "kernel_id": "123043564"}, {"ref": "rfvasile/predicting-house-prices-via-random-forest", "kernel_id": "123174091"}, {"ref": "devapriyavijayan/best-tree-based-algo", "kernel_id": "123078933"}, {"ref": "swathijegan/notebook2a1db1b6a5", "kernel_id": "123673743"}, {"ref": "champ1z1/task-2-house-price-prediction", "kernel_id": "123092662"}, {"ref": "cvelizdevilla/pac-houses-price-2", "kernel_id": "123696422"}, {"ref": "cvelizdevilla/pac-houses-price-1", "kernel_id": "123580091"}, {"ref": "gabebland/house-prices-ridge-hgb-blend", "kernel_id": "123426695"}, {"ref": "andrewkim1997/feature-engineering-various-models", "kernel_id": "123892664"}, {"ref": "dlwndlr/house-prices-prediction-using-tfdf", "kernel_id": "124743019"}, {"ref": "okiasstephanie/house-price-numerical-values-only", "kernel_id": "124750652"}, {"ref": "ammadyounas/assignment-1", "kernel_id": "124792215"}, {"ref": "talhariaz2003/assignment-1", "kernel_id": "124747982"}, {"ref": "furkanzmez/house-prices-eda", "kernel_id": "124821485"}, {"ref": "muhammadraqeeb03/notebookc7628bde31", "kernel_id": "124677713"}, {"ref": "mudassarbajwa/a01-house-prices-advanced-regression-techniques", "kernel_id": "124694682"}, {"ref": "seeratfatima02/assignment-1-seerat-70158055", "kernel_id": "124734623"}, {"ref": "anshikakataria/house-prices-advanced-regression", "kernel_id": "124506542"}, {"ref": "abdullahmehmood242/abdullah-mehmood-ml-assignment-1", "kernel_id": "124789038"}, {"ref": "sadiaq184/assignment-01-sadia-qaisar", "kernel_id": "124697335"}, {"ref": "zabirana875/assignment-no1-ml", "kernel_id": "124732779"}, {"ref": "nayab70169597/assignment-1-nayab-ashraf-70169597", "kernel_id": "124737612"}, {"ref": "zeeshansarim/assignment-no-1-muhammad-zeeshan-sarim", "kernel_id": "124767985"}, {"ref": "abdqayyum/abdullah-qayyum-assignment-1", "kernel_id": "124767710"}, {"ref": "husseinabdalrhman/house-price-prediction-c5e840", "kernel_id": "124537697"}, {"ref": "hiteshakalwar/house-prices", "kernel_id": "124363677"}, {"ref": "afr1ste/house-prices-top-5-legal-lasso-lightgbm", "kernel_id": "124307850"}, {"ref": "maryamanwar104/house-prices", "kernel_id": "124818616"}, {"ref": "waqaskhankundi01/house-price-prediction", "kernel_id": "124752997"}, {"ref": "aryansinghkushwah/house-price-prediction-using-random-forest", "kernel_id": "124632916"}, {"ref": "sarawds/house-prices-prediction", "kernel_id": "124375808"}, {"ref": "nidanaveed123/assignment-1", "kernel_id": "124791622"}, {"ref": "sidyhsaleem/assignment-1", "kernel_id": "124729040"}, {"ref": "mishiiikhan/notebook2bca36ed67", "kernel_id": "124698004"}, {"ref": "m4nnb6/house-price-prediction", "kernel_id": "124635315"}, {"ref": "krishnaharish1/house-prices-log-target-lightgbm", "kernel_id": "124419117"}, {"ref": "itsehsanullah/house-prices-advanced-regression-techniques", "kernel_id": "124730965"}, {"ref": "awaiskhanniazi/assignment-01-muhammad-awais", "kernel_id": "124748842"}, {"ref": "abdullahch1121/notebooka3634c7b4b", "kernel_id": "124729370"}, {"ref": "zubair078/assignment-1-ml", "kernel_id": "124725000"}, {"ref": "rehanayub33/notebook5ed533793c", "kernel_id": "124768307"}, {"ref": "mahamanwar1409/assignment-1-machine-learning", "kernel_id": "124693660"}, {"ref": "hanzlamujahid/house-prices-advanced-regression-techniques", "kernel_id": "124775548"}, {"ref": "aqsanayyab/house-prices-advanced-regression-techniques", "kernel_id": "124773292"}, {"ref": "ibraahim07/housepriceprediction", "kernel_id": "124521251"}, {"ref": "afaqwarraich/assignment-1", "kernel_id": "124791326"}, {"ref": "syedumershehzad/assignment1", "kernel_id": "124805011"}, {"ref": "talhamehmood8015/ml-assignment-1", "kernel_id": "124790886"}, {"ref": "ghifaribasar/prediksi-harga-rumah-2", "kernel_id": "124458465"}, {"ref": "yadav98788/house-price-prediction", "kernel_id": "124198147"}, {"ref": "jingyiwang0629/notebook3acdf8f121", "kernel_id": "124015729"}, {"ref": "quaaas/house-prices", "kernel_id": "124797917"}, {"ref": "ailanasirai/feature-engineering-for-house-prices", "kernel_id": "124219961"}, {"ref": "banyoo/house-price", "kernel_id": "124055516"}, {"ref": "mihailodavidovi/notebook31bb647e44", "kernel_id": "124903861"}, {"ref": "chasset/house-prices-why-predict-the-log-of-the-price", "kernel_id": "125652866"}, {"ref": "chasset/house-prices-missing-doesn-t-mean-unknown", "kernel_id": "125662920"}, {"ref": "venturero/comprehensive-data-exploration-with-python", "kernel_id": "125975604"}, {"ref": "dataenthusiast007/comp-house-prices-analysis", "kernel_id": "125923118"}, {"ref": "lukaspanos/house-price-prediction-xg-boost", "kernel_id": "125473299"}, {"ref": "priyadarsan03/notebookd7429bb7bc", "kernel_id": "125186508"}, {"ref": "hazem0ahmed/house-sale-prices-using-the-ames-housing-dataset", "kernel_id": "125002815"}, {"ref": "nmuravya/house-prices-complete-ml-pipeline", "kernel_id": "125175367"}, {"ref": "lolarriven/house-prices-tabpfn-v2", "kernel_id": "125090748"}, {"ref": "lolarriven/house-prices-advanced-tabpfn-stacking", "kernel_id": "125094146"}, {"ref": "lolarriven/house-prices-tabiclv2-fine-tuning", "kernel_id": "125158561"}, {"ref": "lolarriven/house-prices-nori-synthefy", "kernel_id": "125180061"}, {"ref": "nickdire/notebookcbd5ab2a13", "kernel_id": "125325445"}, {"ref": "tarunraii/confidence-intervals-explained-visually", "kernel_id": "125233096"}, {"ref": "tarunraii/5-statistical-tests-every-data-scientist-must-know", "kernel_id": "125069523"}, {"ref": "sejalpandey01/house-price-prediction", "kernel_id": "125438863"}, {"ref": "aadikaggle123/house-price-prediction", "kernel_id": "125166781"}, {"ref": "dasaev/house-prices-first-kaggle-submission", "kernel_id": "125065157"}, {"ref": "falcon1614/house-prices-prediction", "kernel_id": "125625384"}, {"ref": "chauahanvivanshu/house-price-prediction", "kernel_id": "125751006"}, {"ref": "troylehman/notebookeabfabdf6d", "kernel_id": "125315915"}, {"ref": "tahazarei/house-prices-prediction", "kernel_id": "125181791"}, {"ref": "surajgotnochill/house-prices-eda-suraj", "kernel_id": "125831643"}, {"ref": "marcusvssoares/notebook5afc862a02", "kernel_id": "125934539"}, {"ref": "nobumasa/house-price", "kernel_id": "125166472"}, {"ref": "kathleenlovedata/houses-prices-regression", "kernel_id": "125041248"}, {"ref": "estudoemaco/notebook-daniel-jessika-ml", "kernel_id": "125589492"}, {"ref": "roshaaann30/house-price-prediction-with-xgboost", "kernel_id": "125645435"}, {"ref": "vincentb9001/house-prices", "kernel_id": "125326801"}, {"ref": "fallongreen/notebook4ad96cc2a6", "kernel_id": "125335286"}, {"ref": "arobwor/house-prices-regression-models-arob-wor", "kernel_id": "125311911"}, {"ref": "rolendstewart/house-prediction-stewartrolend", "kernel_id": "125330118"}, {"ref": "criselyguzman/notebook50703b5e0a", "kernel_id": "125326539"}, {"ref": "clareecewright/clarewright-lab4", "kernel_id": "125326621"}, {"ref": "davidnou/notebook1965f8c2ef", "kernel_id": "125327017"}, {"ref": "masonmikulski/housedatalab4", "kernel_id": "125327028"}, {"ref": "abdalmonimbakheet/ames-house-prices", "kernel_id": "125326935"}, {"ref": "calidarmstrong/notebook21195f8c89", "kernel_id": "125555477"}, {"ref": "balenciagatrump/notebooka08259747f", "kernel_id": "125734427"}, {"ref": "justinhiltabidel/housing-prices-advanced-regression", "kernel_id": "125222386"}, {"ref": "philliplsmith/house-price-prediction-with-xgboost", "kernel_id": "125499850"}, {"ref": "uom23mlmsc268293u/notebook98bbe6321d", "kernel_id": "125841409"}, {"ref": "uom23mlmsc268214g/uom23mlmsc268214g", "kernel_id": "125815844"}, {"ref": "biruk1230/notebook17ac024383", "kernel_id": "126731746"}, {"ref": "ayoubabozer/turn-regressors-to-what-if-decision-engine", "kernel_id": "126752863"}, {"ref": "kenichiarai/tid-ds-exercise02", "kernel_id": "126902850"}, {"ref": "ehsan9945/pairwise-data-plot-x-y-c-2", "kernel_id": "126139379"}, {"ref": "kureeltanishq/house-prices-advanced-regression-techniques", "kernel_id": "126184934"}, {"ref": "feridbaranhanci/ai-real-estate-valuation-engine-xgboost-shap", "kernel_id": "126370636"}, {"ref": "mohammedalmadhoum/house-prices-end-to-end-stacked-ensemble", "kernel_id": "126145406"}, {"ref": "debanjandeb03/debanjan-deb-house-price-prediction-competition", "kernel_id": "126446803"}, {"ref": "ademakinwagideon/regression-technique", "kernel_id": "126559241"}, {"ref": "yuvrajzende/day1-notebook1-houseprices-linearregression", "kernel_id": "126907878"}, {"ref": "mertbelgex/house-prediction", "kernel_id": "126133814"}, {"ref": "christiansullivan22/housing-prices-regression", "kernel_id": "126154293"}, {"ref": "kanav198/house-price-prediction", "kernel_id": "126319155"}, {"ref": "mohamednabil543/real-estate-pricing-engine-market-analysis", "kernel_id": "126713330"}, {"ref": "anurag334/house-prediction", "kernel_id": "126528614"}, {"ref": "yaswanthalla25/house-prices-advanced-regression-techniques", "kernel_id": "126338304"}, {"ref": "mobeenfatimah/house-prices-prediction-ensemble-regression-model", "kernel_id": "126845809"}, {"ref": "kavyasharma1/notebooke1ceff10fb", "kernel_id": "126077244"}, {"ref": "nikolaivorontsov/proba-pera", "kernel_id": "126974336"}, {"ref": "zqx960151285/house-prices-advanced-regression-techniques", "kernel_id": "126009274"}, {"ref": "aayathossain/ames-houseprices", "kernel_id": "126150728"}, {"ref": "souravkuma8084/housing-price-prediction", "kernel_id": "126062160"}, {"ref": "maazali04/house-prices-prediction", "kernel_id": "126939036"}, {"ref": "moazsakr/house-prices-regression-project", "kernel_id": "126527315"}, {"ref": "francobrenes/eda-for-house-prices-advanced-regression-techniq", "kernel_id": "126204711"}, {"ref": "ahmedgamy0000/house-prices-advanced-regression-techniques", "kernel_id": "126719706"}, {"ref": "wladyslawkobcew/house-prices-stacking-xgboost-lgbm-and-catboost", "kernel_id": "126512217"}, {"ref": "ordekhamykola/house-prices-regression", "kernel_id": "126609835"}, {"ref": "tharishreddy22/house-price-prediction-using-linear-regression", "kernel_id": "126314490"}, {"ref": "modso2007/house-price-predict-pytorch", "kernel_id": "126029877"}, {"ref": "shestakovanton/notebook17ac024383", "kernel_id": "126203097"}, {"ref": "maximilianhesson/cc3-project2", "kernel_id": "126070372"}, {"ref": "shelialara/lara-cc3-project2-house-prices-regression", "kernel_id": "126096452"}, {"ref": "ansbarinovs/house-prices-prediction-using-forests-regression", "kernel_id": "126691932"}, {"ref": "benapple/housing-prices-regression-submission", "kernel_id": "127538401"}, {"ref": "bardiabahadori/house-prices-eda-feature-engineering-ridge", "kernel_id": "127376320"}, {"ref": "okiasstephanie/house-price-prediction", "kernel_id": "127458733"}, {"ref": "rajlaxmikasture/house-priceprediction", "kernel_id": "127025393"}, {"ref": "hadeelturki/hadeel", "kernel_id": "127053349"}, {"ref": "nadimsrabon6/house-price-prediction-end-to-end-pipeline", "kernel_id": "127096211"}, {"ref": "oludareshalom/house-prices-pred", "kernel_id": "127816826"}, {"ref": "vivekambaliya/predicting-house-prices-with-linear-regression", "kernel_id": "127757116"}, {"ref": "dongmyungpark/house-prices", "kernel_id": "127451744"}, {"ref": "erfvntr/house-prices", "kernel_id": "127990825"}, {"ref": "salamanbhai/house-price-prediction-notebook", "kernel_id": "127280651"}, {"ref": "mubashiruddin01/house-price-end-to-end-prediction-pipeline", "kernel_id": "127292084"}, {"ref": "sahmed2618/house-prices-prediction", "kernel_id": "127079362"}, {"ref": "raoahsaanmaniii/house-prices-stacked-regression", "kernel_id": "127601927"}, {"ref": "kaiwalyaatulraut/house-prices-advanced-regression-solution", "kernel_id": "127054009"}, {"ref": "aryannchoudhary/house-prices-prediction-using-tfdf", "kernel_id": "127737585"}, {"ref": "chihebghraibia/house-prices-advanced-regression-technique", "kernel_id": "127406755"}, {"ref": "vishroy/house-prices-prediction-eda", "kernel_id": "127017595"}, {"ref": "g2430027/ensemble", "kernel_id": "127785242"}, {"ref": "hagarrabie/scatter-plotstutorial", "kernel_id": "127556628"}, {"ref": "alpdll/houseprices", "kernel_id": "127054272"}, {"ref": "vyshnavikunchala/notebook8982b70264", "kernel_id": "127596780"}, {"ref": "flywineyanzu/house", "kernel_id": "127305960"}, {"ref": "abdoragheb/notebookd50df5b83d", "kernel_id": "127792141"}, {"ref": "viktor1606/house-price-prediction", "kernel_id": "128345911"}, {"ref": "taylorsamarel/taedri-gemma-4-competition-agent-proof", "kernel_id": "128442911"}, {"ref": "dlwndlr/notebookb459f152f6", "kernel_id": "128200417"}, {"ref": "debodipchowdhury/house-price-prediction", "kernel_id": "128721730"}, {"ref": "alinazer/house-prices-advanced-regression-techniques", "kernel_id": "128982296"}, {"ref": "cjhuang2024/house-price-prediction", "kernel_id": "128584506"}, {"ref": "leneen/when-do-linear-models-agree-a-house-prices-case-s", "kernel_id": "128477144"}, {"ref": "jeff10w25/pytorch-neural-net-transformer-sprint-review", "kernel_id": "128585133"}, {"ref": "zahrayousefpournavid/house-price-prediction-with-a-pipeline", "kernel_id": "128468331"}, {"ref": "zahrayousefpournavid/house-price-prediction-pycaret-ridge-regression", "kernel_id": "128341617"}, {"ref": "abdelrahmantahat/notebook94229822d7", "kernel_id": "128372825"}, {"ref": "vidusharma/house-price-prediction", "kernel_id": "128554208"}, {"ref": "saitejabandaruin/forked-grandmaster-house-price-pipeline", "kernel_id": "128588431"}, {"ref": "raviikrds/house-prices-prediction", "kernel_id": "128975239"}, {"ref": "rustambhadouriya/house-price-prediction-completetion", "kernel_id": "128332703"}, {"ref": "muhammadmubashiraziz/house-prices-prediction", "kernel_id": "128073528"}, {"ref": "evdoxialamprinou/house-prices-advanced-regression-techniques", "kernel_id": "128089766"}, {"ref": "bnhbiphc/house-prices", "kernel_id": "128658839"}, {"ref": "nguyendunn/house-price-prediction", "kernel_id": "128339553"}, {"ref": "pratickbothra29/house-price-prediction", "kernel_id": "128464766"}, {"ref": "xen451/house-prices-competition-using-xgboost", "kernel_id": "128954722"}, {"ref": "mudassarshabir/house-price-predict", "kernel_id": "128995941"}, {"ref": "seiffathy001/case-study-1-house-prices", "kernel_id": "128628884"}, {"ref": "abdomahfouz1/house-prices", "kernel_id": "128373588"}, {"ref": "prvsiyan/house-prices-the-honest-generalization-atlas", "kernel_id": "128950134"}, {"ref": "umerhussain3216/competition-notebook-for-house-prices", "kernel_id": "128633577"}, {"ref": "koheiaoyagi/homeprices", "kernel_id": "128301987"}, {"ref": "suyuhui12/house-prices-prediction-using-tfdf", "kernel_id": "128584538"}, {"ref": "lilyouob/tid-ds-exercise02", "kernel_id": "128584885"}, {"ref": "sinyu2009/house-price-prediction", "kernel_id": "128584475"}, {"ref": "chouirene/house-price-prediction-notebook", "kernel_id": "128584397"}, {"ref": "lindayyn/house-price-prediction-notebook-10de5c", "kernel_id": "128584503"}, {"ref": "angchiaying/house-prices-prediction-using-tfdf", "kernel_id": "128584415"}, {"ref": "angchiaying/house-pred2", "kernel_id": "128584666"}, {"ref": "justinsuz/house-price-prediction", "kernel_id": "128584436"}, {"ref": "mhamzay/house-prices-advanced-regression-techniques", "kernel_id": "128820565"}, {"ref": "kellymengshuan/house-prices-advanced-regression-techniques", "kernel_id": "128919343"}, {"ref": "fengchuanchuang/house-price-prediction", "kernel_id": "128584414"}, {"ref": "ivy0128/house-price-prediction", "kernel_id": "128584572"}, {"ref": "cicilinda/house-price-prediction", "kernel_id": "128584747"}, {"ref": "himanshu2l/house-pred2", "kernel_id": "128578166"}, {"ref": "dynamo14324/house-prices-advanced-eda-feature-engineering", "kernel_id": "129651497"}, {"ref": "rahulmish/housing-price-revise-linear-regression", "kernel_id": "129475281"}, {"ref": "adnanik23/price-prediction-with-eda-and-ensemble-models", "kernel_id": "129311980"}, {"ref": "siddharajkulkarni/house-price-prediction", "kernel_id": "129245486"}, {"ref": "matheuspsilveira/house-prices-prediction-with-random-forests", "kernel_id": "129402898"}, {"ref": "ryhorabramovich/ames-housing-4-model-super-blend-ensemble", "kernel_id": "129491665"}, {"ref": "aliazizi1/mykagglehouse", "kernel_id": "129508706"}, {"ref": "ayushmansaw/notebooket1", "kernel_id": "129599596"}, {"ref": "chaitanyakamble69/dfl-practical-03", "kernel_id": "129774704"}, {"ref": "tetianapro/house-prices-regression", "kernel_id": "129573715"}, {"ref": "ekaanis/notebook2c3230ad17", "kernel_id": "129694301"}, {"ref": "mostafahamed1/case-study-2-house-prices-regressionn", "kernel_id": "129489354"}, {"ref": "titakongolo/notebook-houseprices-python-french", "kernel_id": "129516536"}, {"ref": "raomitesh/eda-on-house-price-prediction", "kernel_id": "129199120"}, {"ref": "mannangrover/hpuse-prices-dataset", "kernel_id": "129604301"}, {"ref": "onuraslanhan/house-prices-advanced-regression-xgboost", "kernel_id": "129376572"}, {"ref": "kunjagarwal/house-prediction-kaggle-ready-v2", "kernel_id": "129365660"}, {"ref": "akshat200820/ak-house", "kernel_id": "129146337"}, {"ref": "vishroy/house-prices-advanced-regression", "kernel_id": "129155439"}, {"ref": "hagarmesbah/house-prices", "kernel_id": "129491385"}, {"ref": "yosukeinada/house-prices-1-jp-en", "kernel_id": "129177907"}, {"ref": "yosukeinada/house-prices-linear-model-choice-audit-jp-en", "kernel_id": "129180735"}, {"ref": "liyennguyen/bailam", "kernel_id": "129915211"}, {"ref": "faustine649/gradientboostingregressor", "kernel_id": "129175622"}, {"ref": "faustine649/learn-lasso", "kernel_id": "129158603"}, {"ref": "faustine649/getting-start-with-house-pricing", "kernel_id": "129016749"}, {"ref": "mehakk23/house-price-prediction-linear-regression", "kernel_id": "129540160"}, {"ref": "shashvatsingham/rmsle-is-not-rmse-fit-in-the-metric-s-space", "kernel_id": "130540444"}, {"ref": "vincenthwq/house-prices-automl-ensemble", "kernel_id": "130899683"}, {"ref": "abdulrahmanelbanna/session-13", "kernel_id": "130484348"}, {"ref": "haseebkhandevlprkhan/house-prices-advanced-regression-techniques", "kernel_id": "130118234"}, {"ref": "rizkisuryanugroho/house-price-prediction-with-xgboost", "kernel_id": "130296985"}, {"ref": "maximolorenzoylosada/house-prices-na-audit", "kernel_id": "130316490"}, {"ref": "ekaanis/hw-crossvalidation-house-prices", "kernel_id": "130900425"}, {"ref": "fa23bst011/house-price-prediction-using-linear-regression", "kernel_id": "130945384"}, {"ref": "zahidjan1/notebook7da3bd46f9", "kernel_id": "130725966"}, {"ref": "itheequalizer/house-prices-leakage-safe-cv-quality-gates", "kernel_id": "130166972"}, {"ref": "othmangaraibeh/notebooka5317b36eb", "kernel_id": "130405529"}, {"ref": "aditiparthasarathi/advanced-regression-techniques", "kernel_id": "130670790"}, {"ref": "asadbashir2003/house-prices-complete-eda-pipeline-xgboost", "kernel_id": "130227874"}, {"ref": "aakashrajawat75/house-price-complete-process", "kernel_id": "130930435"}, {"ref": "abhrajaiswal/house-price-prediction", "kernel_id": "130309345"}, {"ref": "sakinasaifit/house-prices-prediction-sakina-saif", "kernel_id": "130735964"}, {"ref": "kaif0222/house-prices-exploratory-feature-analysis", "kernel_id": "130430058"}, {"ref": "younuskurakula/house-price-prediction", "kernel_id": "130532074"}, {"ref": "ademkzj/ames-housing-prediction-beginner-approach", "kernel_id": "130441576"}, {"ref": "marcusvssoares/notebook787548e879", "kernel_id": "130744686"}, {"ref": "rawanmohammd/house-prices-data-cleaning-ml", "kernel_id": "130803381"}, {"ref": "nensiparmar/house-prices-advanced-regression", "kernel_id": "130340868"}, {"ref": "michaelpirson/house-prediction", "kernel_id": "130826981"}, {"ref": "bolaalonge/house-price-prediction-using-ridge-regression", "kernel_id": "130210093"}, {"ref": "sayanmanik2005/notebook70d47c5703", "kernel_id": "130014535"}, {"ref": "farahradwann/notebook1cc71f40ad", "kernel_id": "130535969"}, {"ref": "iemrahozer/house-prices-advanced-regression-techniques", "kernel_id": "130550472"}, {"ref": "danishrasheed19/housing-price-prediction", "kernel_id": "131267880"}, {"ref": "wamiqueabro/house-price-predictor", "kernel_id": "131216694"}, {"ref": "starkhushi/house-prices-top-12-five-model-stack", "kernel_id": "131789527"}, {"ref": "jernimopaiva/house-prices-advanced-regression-xgboost-f", "kernel_id": "131660494"}, {"ref": "mdmuftihabib/house-prices-prediction", "kernel_id": "131533926"}, {"ref": "fadlyfebro/house-prices-prediction", "kernel_id": "131222555"}, {"ref": "diegomiope314/top-tier-ames-housing-0-11444-rmsle", "kernel_id": "131295959"}, {"ref": "chethan1228/house-prices-advanced-regression-preprocessing", "kernel_id": "131363957"}, {"ref": "jakiduy/house-price-comp", "kernel_id": "131393037"}, {"ref": "hadiaaakhaaan/house-prices-prediction-competition-notebook", "kernel_id": "131974956"}, {"ref": "ibrahimamoo/house-prices-advanced-regression-model-eda", "kernel_id": "131147715"}, {"ref": "aditi512888/house-price-prediction", "kernel_id": "131140355"}, {"ref": "mustafademirai/house-prices-gradient-boosting", "kernel_id": "131195840"}, {"ref": "ayashalmoliky/house-prices-advanced-regression-with-neural-net", "kernel_id": "131195392"}, {"ref": "yosukeinada/house-prices-outlier-decision-jp-en", "kernel_id": "131789086"}, {"ref": "sravani1828/housepricesm2", "kernel_id": "131941949"}, {"ref": "safianaam/houseprice", "kernel_id": "131943869"}, {"ref": "mohammedwetwet/advanced-house-price-regression", "kernel_id": "131619468"}, {"ref": "defiaudit/house-prices-beginner-regression-defiaudit", "kernel_id": "131192168"}, {"ref": "aishaalbadwe/notebook0b89a8e43b", "kernel_id": "131854989"}, {"ref": "abdallamohamed77/notebook3b270348e1", "kernel_id": "131735535"}, {"ref": "tahahussein2020/house-prices-advanced-regression", "kernel_id": "132126644"}, {"ref": "roulaaj/house-prices-grouped-imputation-and-ordinal-enco", "kernel_id": "132800128"}, {"ref": "alexchilton/glm-and-gam-a-gentle-tutorial", "kernel_id": "132578651"}, {"ref": "zubaeerulislam93/house-prices", "kernel_id": "132140049"}, {"ref": "timtaoucineadam/house-prices", "kernel_id": "132344982"}, {"ref": "aslakel/house-price-prediction-eda-feature-engineering", "kernel_id": "132830835"}, {"ref": "gkmenkkaydin/house-prices-regression", "kernel_id": "132392701"}, {"ref": "aliberkolukkaya/house-price-prediction-linear-regression", "kernel_id": "132427793"}, {"ref": "alfiyagavandi/skillcraft-task-01-house-price-prediction", "kernel_id": "132734736"}, {"ref": "datawithumerz/ames-housing-from-206-features-to-a-defensible-li", "kernel_id": "132971070"}, {"ref": "yaseenbagwan/house-price-pred", "kernel_id": "132444705"}, {"ref": "sidnaz2089/notebook901f2a3d7d", "kernel_id": "132519169"}, {"ref": "ganeshssable/notebook7562917010", "kernel_id": "132177806"}, {"ref": "lauracamilagutirrez/predicci-n-precio-de-casas", "kernel_id": "132719925"}, {"ref": "marcusvssoares/notebook169feb6ba1", "kernel_id": "132945606"}, {"ref": "zrlopez/house-prices-etl-validation", "kernel_id": "132724841"}, {"ref": "fawzyebidw/house-prices", "kernel_id": "132259245"}, {"ref": "uv0xii/house-prices-advanced-regression-techniques", "kernel_id": "132292182"}, {"ref": "hseynmemmedli/house", "kernel_id": "132250262"}, {"ref": "connorsinger/comprehensive-data-exploration-with-python", "kernel_id": "132937135"}, {"ref": "stevencaminero/comprehensive-data-exploration-with-python", "kernel_id": "132930373"}, {"ref": "itconceito/notebook6b0095ace9", "kernel_id": "132484568"}, {"ref": "jawwadmalik/house-prices-linear-regression", "kernel_id": "132876296"}, {"ref": "roccopersiani/housepredictionnotebook", "kernel_id": "133520854"}, {"ref": "davidsmv/house-prices-linear-regression-techniques", "kernel_id": "133047994"}, {"ref": "manhdodz249/machine-learning-in-r", "kernel_id": "133779376"}, {"ref": "beraterolelk/top-2-0-12185-house-prices-ensemble", "kernel_id": "133957475"}, {"ref": "beraterolelk/0-11978-house-prices-stacking-model", "kernel_id": "133956223"}, {"ref": "unnati55555/notebookb91d0b0f55", "kernel_id": "133692039"}, {"ref": "zamcab/comprehensive-data-exploration-with-python", "kernel_id": "133378545"}, {"ref": "manaswinsripatnala/housing-0-1", "kernel_id": "133339126"}, {"ref": "muhammadaqeelkabir/house-price-prediction", "kernel_id": "133077632"}, {"ref": "noahphilip/comprehensive-data-exploration-with-python", "kernel_id": "133493200"}, {"ref": "lotfiaitbaaya/house-prices-notebook", "kernel_id": "133684197"}, {"ref": "batmunx/comprehensive-data-exploration-with-python", "kernel_id": "133379552"}, {"ref": "engmohammednabil/xgboost", "kernel_id": "133269163"}, {"ref": "michaelenoh/house-prices-advanced-regression-techniques", "kernel_id": "133917841"}, {"ref": "devkhandelwal78/house-price-prediction", "kernel_id": "133952560"}, {"ref": "cansnoww/house-price-prediction", "kernel_id": "133171003"}, {"ref": "defiaudit/house-prices-stacked-ensemble-to-top-10", "kernel_id": "133337174"}, {"ref": "shokos64/0-12068-house-prices-lgbm-cat-japanese", "kernel_id": "133178934"}, {"ref": "stevencaminero/module-1-notebook", "kernel_id": "133041969"}, {"ref": "ryanmaselli/comprehensive-data-exploration-with-python", "kernel_id": "133020701"}, {"ref": "habibalahdal/house-prices-regression-solution", "kernel_id": "133728328"}, {"ref": "philbowen/module2", "kernel_id": "133319858"}, {"ref": "nanohaitou/houseprices", "kernel_id": "133421385"}, {"ref": "brandonfondeur/comprehensive-data-exploration-with-python", "kernel_id": "133350356"}, {"ref": "jamescangco/comprehensive-data-exploration-with-python", "kernel_id": "133348848"}, {"ref": "daniellelcoleman/kaggle-ames-housing-data-quality-audit", "kernel_id": "133047509"}, {"ref": "shahareli/house-price-prediction-random-forest-pca", "kernel_id": "133112551"}, {"ref": "machanif/eda-hunting-for-missing-values", "kernel_id": "134352138"}, {"ref": "msalmn/house-price-comprehnsive-eda-advanced-regression", "kernel_id": "134695750"}, {"ref": "ravighimire1/gb-xgb-prediction-error-analysis", "kernel_id": "134735447"}, {"ref": "datascikhan/house-prices-the-ultimate-regression-guide", "kernel_id": "134110652"}, {"ref": "muhammadaqeelkabir/house-prices-advanced-regression-techniques", "kernel_id": "134617640"}, {"ref": "muhammadusman010/house-prices-advanced-regression-techniques", "kernel_id": "134900737"}, {"ref": "mohamedkhedrelgazzar/house-prices-data-cleaning-regression", "kernel_id": "134169072"}, {"ref": "sumitkumar1211qw/house-sumit", "kernel_id": "134098134"}, {"ref": "azharalisoomro/lab-5-advanced-regression-techniques", "kernel_id": "134114382"}, {"ref": "muhammadfauzimuharam/causiloo", "kernel_id": "134985559"}, {"ref": "nhukhoalofi/notebook5b9d74fbff", "kernel_id": "134688487"}, {"ref": "ahmetodb/house-prices-regressor", "kernel_id": "134614972"}, {"ref": "sakids/house-price-prediction", "kernel_id": "134766189"}, {"ref": "citrusive/tfdf-dgn-sedikit-edit", "kernel_id": "134860628"}, {"ref": "moeaziz4/house-prices-group-data-science-project", "kernel_id": "134344289"}, {"ref": "amjedalabsy/notebookb6c1dc4b23", "kernel_id": "134327037"}, {"ref": "mouryapece23a/house-price-analysis", "kernel_id": "134571622"}, {"ref": "abdanurayazbek/bda-2406-aml-lab1-abdanur-ayazbek", "kernel_id": "134218814"}, {"ref": "saqrameen/simple-clean-baseline-model-random-forest-regre", "kernel_id": "134618900"}, {"ref": "saqrameen/finding-your-files-in-kaggle-kernels", "kernel_id": "134619291"}, {"ref": "loaifahman/notebookd180d8d949", "kernel_id": "134399252"}, {"ref": "senanuretin/house-prices-my-cv-said-0-1056-the-lb-disagreed", "kernel_id": "134774188"}, {"ref": "kl2500032221/notebook31671143d5", "kernel_id": "134720115"}, {"ref": "kunkorun/notebook-house1709", "kernel_id": "134632141"}, {"ref": "fawzyebidw/customer-transaction-prediction", "kernel_id": "134735373"}, {"ref": "hamzahsaif/notebook8687a1fcbd", "kernel_id": "134357406"}, {"ref": "amoor1616/notebook0662316dc2", "kernel_id": "134332914"}, {"ref": "saideependra/house-price-ml", "kernel_id": "134596616"}, {"ref": "mnkaggler/predict-house-price-data-exploration-to-ml-dl", "kernel_id": "134122613"}, {"ref": "satria404/notebook94", "kernel_id": "134945656"}, {"ref": "datawithabxrehman/house-prices-advanced-regression-techniques", "kernel_id": "134132467"}, {"ref": "habibalahdal/team-house-prices-pro", "kernel_id": "134529216"}, {"ref": "dawayasseralansari/notebook9003d44771", "kernel_id": "134871803"}, {"ref": "aarushvasanadu/notebook0a6390e3dc", "kernel_id": "134050755"}, {"ref": "khripushin/house-prices-automl-with-lightautoml", "kernel_id": "135791327"}, {"ref": "rishabh48/ml-6102-har", "kernel_id": "135935879"}, {"ref": "tiennguyen0712/house-prices-predict", "kernel_id": "135213046"}, {"ref": "randynho/house-prices-ordinal-encoding-stacked-ensemble", "kernel_id": "135306636"}, {"ref": "binnaph/house", "kernel_id": "135247325"}, {"ref": "nurasylserikov/linear-regression-from-scratch", "kernel_id": "135317363"}, {"ref": "mdmuftihabib/advanced-regression-technique", "kernel_id": "135147664"}, {"ref": "datascikhan/house-prices-leakage-free-meta-ensemble", "kernel_id": "135349597"}, {"ref": "datascikhan/house-prices-leakage-free-stacking-ensemble", "kernel_id": "135342350"}, {"ref": "datascikhan/house-prices-advanced-regression", "kernel_id": "135334040"}, {"ref": "bilal157/notebook40bf0bd4c3", "kernel_id": "135567828"}, {"ref": "addyaa1/notebooka7a14bcc4e", "kernel_id": "135837807"}, {"ref": "harhash/house-prices-pytorch-sklearn-ipynb", "kernel_id": "135566264"}, {"ref": "algravithm/top-30-house-prices-advanced-regression", "kernel_id": "135040151"}, {"ref": "chokak/notebook23ff0e1ab0", "kernel_id": "135397935"}, {"ref": "atodd79/notebook72e65ab25b", "kernel_id": "135837594"}, {"ref": "mindyluong/notebookc0e7ed7389", "kernel_id": "135754825"}, {"ref": "gedeprana/prana-mencari-rumah", "kernel_id": "135542592"}, {"ref": "noahlee123/notebook5eea787d25", "kernel_id": "135864022"}, {"ref": "machinelearner1412/train-models-for-ames-housing", "kernel_id": "135421389"}, {"ref": "machinelearner1412/feature-engineering-for-ames-housing", "kernel_id": "135335914"}, {"ref": "adharshann/notebookb9c95513d6", "kernel_id": "135468360"}, {"ref": "haileyakinsola/ai-lab4", "kernel_id": "135837799"}, {"ref": "lydianachazel/notebook154a7f5bce", "kernel_id": "135873763"}, {"ref": "jackweir1/notebookf402d716e7", "kernel_id": "135850109"}, {"ref": "kevinlucius/notebookf11b727cb8", "kernel_id": "135888998"}, {"ref": "maleynaehrman/lab-4-house", "kernel_id": "135873611"}, {"ref": "laylaharbin/house-prices-lab", "kernel_id": "135837394"}, {"ref": "martinkochadampally/lab-4-martin-k", "kernel_id": "135873333"}, {"ref": "conradkrantz/krantz-ai-2010-house-prices", "kernel_id": "135872312"}, {"ref": "leightondietz/lab-4-house-prediction-dietz", "kernel_id": "135872779"}, {"ref": "samson39/notebook4cfa3308c7", "kernel_id": "135838184"}, {"ref": "jadams70/lab-4-house-prices", "kernel_id": "135837397"}, {"ref": "breezebunker/notebook73c2b66313", "kernel_id": "135837893"}, {"ref": "stonehendrickson21/notebookd744082143", "kernel_id": "135836500"}, {"ref": "murph7650/notebook4772f9fba5", "kernel_id": "135837469"}, {"ref": "rylanwindmiller/notebook5162dd31cf", "kernel_id": "135838103"}, {"ref": "rylanwindmiller/notebook8692b3860f", "kernel_id": "135841563"}, {"ref": "zachnovy/notebook51822d2f44", "kernel_id": "135837826"}, {"ref": "tatumholtkamp/notebooked8131b59c", "kernel_id": "135876703"}, {"ref": "mabe2124/house-prices-regression-model-comparison-matt-a", "kernel_id": "135873895"}, {"ref": "surianahanson/notebookf3c6779157", "kernel_id": "135839970"}, {"ref": "katiemiller1/notebook501a0ecc82", "kernel_id": "135838283"}, {"ref": "reganernst05/notebookc78a0122fd", "kernel_id": "135745050"}, {"ref": "dogefloats/lab4ai2010", "kernel_id": "135833494"}, {"ref": "stepwalt/notebookc7fce15e07", "kernel_id": "135838735"}, {"ref": "nolancasher/lab-4-house-price-prediction", "kernel_id": "135871915"}, {"ref": "macmoore/ai-lab", "kernel_id": "135747932"}, {"ref": "jackschuller/lab-4-house-price-prediction", "kernel_id": "135873419"}, {"ref": "nolanronay/notebook9f98c0226d", "kernel_id": "135853359"}, {"ref": "chasezuber/lab-4-house-price-prediction", "kernel_id": "135873528"}, {"ref": "christopherslomba/notebook2-lab-4", "kernel_id": "135873189"}, {"ref": "madeleineengeman/notebookcde2e9e741", "kernel_id": "135872034"}, {"ref": "seandb31/lab4ai", "kernel_id": "135873789"}, {"ref": "zacharycrane6/notebook41a4f4c8dc", "kernel_id": "135838911"}, {"ref": "danielvargas1/ai1020-lab4", "kernel_id": "135837198"}, {"ref": "hungttran57/notebook62d91bcece", "kernel_id": "135247522"}, {"ref": "hoangnghia2006/house-prices", "kernel_id": "135244556"}, {"ref": "lplum07/lab-4", "kernel_id": "135837568"}, {"ref": "isaachendo/linear-regression-final-notebook", "kernel_id": "135911193"}, {"ref": "pepro182708/notebookdd3dd0bf5e", "kernel_id": "136107281"}, {"ref": "thaveeshathathsara/house-prices-advanced-regression", "kernel_id": "136099611"}, {"ref": "nguynhongquy107/notebook69190429e5", "kernel_id": "136525628"}, {"ref": "hitarthjain0/house-prices-eda-ridge-lightgbm-blend", "kernel_id": "136485191"}, {"ref": "hitarthjain0/house-prices-which-steps-help", "kernel_id": "136537099"}, {"ref": "arbhdmoa22/housepricelens", "kernel_id": "136520932"}, {"ref": "cooperbusick/house-prices-five-model-regression-lab", "kernel_id": "136058231"}, {"ref": "divyarjb222/house-prices-advanced-regression-lab-4", "kernel_id": "136441250"}, {"ref": "miloszzembrzycki/from-eda-to-optimized-xgboost-house-prices", "kernel_id": "136548453"}, {"ref": "vuwspace/house-prices", "kernel_id": "136358494"}, {"ref": "mbg206/notebookf4d2d57314", "kernel_id": "136416733"}, {"ref": "kalebwrigley/house-prices-lab-4-kaleb", "kernel_id": "136273401"}, {"ref": "haydendjohnsen/notebook5eab3d006b", "kernel_id": "136538846"}, {"ref": "joshuareis/notebooke6256b682c", "kernel_id": "136562884"}, {"ref": "kadenbertrand/notebookf6773a6f9b", "kernel_id": "136556141"}, {"ref": "evanleith/notebookddea661617", "kernel_id": "136595611"}, {"ref": "stevennguyen122/notebookd7341805d7", "kernel_id": "136194494"}, {"ref": "gracepomahac/house-prices-prediction-using-tfdf", "kernel_id": "136169885"}, {"ref": "charlesquinn8/notebook797d090ab1", "kernel_id": "136267562"}, {"ref": "tjapel/notebooka82d0ff1a7", "kernel_id": "136563031"}, {"ref": "bradywells/notebook2d560eb05b", "kernel_id": "136456090"}, {"ref": "samvicker/lab4a", "kernel_id": "136309475"}, {"ref": "emmamiddleton02/house-prices-regression-lab", "kernel_id": "136424375"}, {"ref": "lucaseastman/lab-4-advanced-regression-ml", "kernel_id": "136437703"}, {"ref": "landonjohnson7/notebookdbda276395", "kernel_id": "136599030"}, {"ref": "lucasgoldenberg731/notebook12e0d2fa10", "kernel_id": "136415910"}]}
{"competition_id": "5408", "kernels": [{"ref": "bestdaze/feature-extraction-from-images", "kernel_id": "150567"}, {"ref": "benhamner/notebook-55b476e32f764caaf7db", "kernel_id": "92562"}, {"ref": "benhamner/notebook-0653bd423b4800024552", "kernel_id": "92563"}, {"ref": "benhamner/notebook-55dfaac1482970693542", "kernel_id": "92564"}, {"ref": "benhamner/notebook-6893777456a3790e15df", "kernel_id": "92565"}, {"ref": "benhamner/notebook-c058fc63fc62ab38da30", "kernel_id": "92566"}, {"ref": "benhamner/leafy-green-random-forests", "kernel_id": "92570"}, {"ref": "benhamner/notebook7ba68676b3", "kernel_id": "92591"}, {"ref": "echowuhao/neural-network-through-keras", "kernel_id": "99527"}, {"ref": "wcukierski/leafy-green-random-forests", "kernel_id": "92557"}, {"ref": "wcukierski/list-input-files-1", "kernel_id": "92498"}, {"ref": "sudipd/notebook55e70f25e4", "kernel_id": "97962"}, {"ref": "d3potf/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "138975"}, {"ref": "redsml/notebookb3f0068a01", "kernel_id": "100830"}, {"ref": "redsml/notebook1e1003264b", "kernel_id": "100813"}, {"ref": "redsml/notebookb03141a888", "kernel_id": "101024"}, {"ref": "josealberto/fork-of-naive-bayes", "kernel_id": "95004"}, {"ref": "josealberto/fast-image-exploration", "kernel_id": "93097"}, {"ref": "josealberto/naive-bayes", "kernel_id": "93132"}, {"ref": "josealberto/feature-correlation", "kernel_id": "93157"}, {"ref": "josealberto/pca-naive-bayes-r", "kernel_id": "93281"}, {"ref": "josealberto/fork-of-pca-naive-bayes-r", "kernel_id": "93291"}, {"ref": "josealberto/special-points-in-leafs", "kernel_id": "93329"}, {"ref": "josealberto/work-in-progress", "kernel_id": "93342"}, {"ref": "yczhouqiang/notebook3775faef89", "kernel_id": "163615"}, {"ref": "ahasha/messing-around", "kernel_id": "108157"}, {"ref": "tobikaggle/notebookdfd5249bae", "kernel_id": "120464"}, {"ref": "tobikaggle/nn-through-keras-copied", "kernel_id": "123591"}, {"ref": "tobikaggle/nn-through-keras-copied-mod-shuffle", "kernel_id": "124011"}, {"ref": "tobikaggle/fork-of-nn-through-keras-copied-mod", "kernel_id": "124077"}, {"ref": "tobikaggle/keras-neural-net-multiclass-problem", "kernel_id": "124108"}, {"ref": "tobikaggle/compare-multiple-classification-models-with-caret", "kernel_id": "116556"}, {"ref": "tobikaggle/shrinkage-discriminant-analysis", "kernel_id": "116440"}, {"ref": "tobikaggle/multinomial-logistic-regression-mod", "kernel_id": "117025"}, {"ref": "tobikaggle/logistic-regression", "kernel_id": "116981"}, {"ref": "tobikaggle/multinomial-logistic-regression-0-02983", "kernel_id": "117003"}, {"ref": "tobikaggle/10-classifier-showdown-in-scikit-learn", "kernel_id": "186883"}, {"ref": "tobikaggle/keras-model-average", "kernel_id": "195674"}, {"ref": "tobikaggle/keras-neural-network-grid-searching", "kernel_id": "195745"}, {"ref": "tobikaggle/fork-of-nn-through-keras-copied-mod-ff28256b", "kernel_id": "177789"}, {"ref": "tobikaggle/fork-of-nn-through-keras-copied-mod-8ac359d1", "kernel_id": "177790"}, {"ref": "tobikaggle/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "145716"}, {"ref": "tobikaggle/fork-of-nn-through-keras-copied-mod-40de711a", "kernel_id": "154010"}, {"ref": "nithum/notebook6cfc8a026e", "kernel_id": "99426"}, {"ref": "pratik/notebookfbef116255", "kernel_id": "164706"}, {"ref": "pratik/notebook9f0cd32476", "kernel_id": "164712"}, {"ref": "pratik/notebook2a7446ca1d", "kernel_id": "164714"}, {"ref": "pratik/notebook1d41242583", "kernel_id": "164723"}, {"ref": "pratik/notebook782bddbe33", "kernel_id": "162039"}, {"ref": "kumarmankala/notebook28cc954bd1", "kernel_id": "178655"}, {"ref": "bbbarbel/notebook8ad951d93f", "kernel_id": "105460"}, {"ref": "wjholst/notebook7ba604292c", "kernel_id": "153810"}, {"ref": "davidesd/logistic-regression-with-features-combination", "kernel_id": "97399"}, {"ref": "davidesd/effects-of-features-combination", "kernel_id": "96921"}, {"ref": "gongzhitaao/mlp-with-feature-data", "kernel_id": "137085"}, {"ref": "gongzhitaao/notebook6008a17364", "kernel_id": "137073"}, {"ref": "gongzhitaao/rescale-aspect-ratio-kept-raw-images", "kernel_id": "138535"}, {"ref": "gongzhitaao/mlp-with-image-pixels", "kernel_id": "138536"}, {"ref": "adriana/notebook201a7b8049", "kernel_id": "108217"}, {"ref": "adriana/detect-leaves", "kernel_id": "108218"}, {"ref": "scalacoder/sample", "kernel_id": "199383"}, {"ref": "scalacoder/notebook59c287f08e", "kernel_id": "199452"}, {"ref": "marcboettinger/notebook16a9b111ce", "kernel_id": "254480"}, {"ref": "perttu/notebook41d6e93c6c", "kernel_id": "95559"}, {"ref": "yuningalexliu/feature-extraction-from-images", "kernel_id": "146304"}, {"ref": "gszjulcsi/different-looking-leaves-in-same-class", "kernel_id": "176771"}, {"ref": "gszjulcsi/different-looking-leaves-in-same-class-dab63602", "kernel_id": "176782"}, {"ref": "jlglover/nn-through-keras-copied-mod", "kernel_id": "191520"}, {"ref": "zbridges/notebooka1450b5e5f", "kernel_id": "170125"}, {"ref": "rparra/notebook809b2b0144", "kernel_id": "149816"}, {"ref": "zenstat/nn-through-keras-learn-through-trial-and-error", "kernel_id": "122454"}, {"ref": "thomeou/notebook5885a25015", "kernel_id": "141050"}, {"ref": "ktimothy/maintest", "kernel_id": "109262"}, {"ref": "ktimothy/notebookbc27a83f6a", "kernel_id": "109263"}, {"ref": "seungwooyoo/notebook25a2943beb", "kernel_id": "99569"}, {"ref": "selfishgene/visualizing-pca-with-leaf-dataset", "kernel_id": "152907"}, {"ref": "selfishgene/visualizing-k-means-with-leaf-dataset", "kernel_id": "195423"}, {"ref": "anilnarassiguin/ml-classic-pipeline-python-xgboost", "kernel_id": "92681"}, {"ref": "anilnarassiguin/logistic-regression", "kernel_id": "93025"}, {"ref": "sandeepmokashi/notebookea5e28ba41", "kernel_id": "93852"}, {"ref": "naveengoje/visualizing-pca-with-leaf-dataset", "kernel_id": "196603"}, {"ref": "david101/notebook4cbfed056b", "kernel_id": "93013"}, {"ref": "bertmanila/feature-correlation", "kernel_id": "94613"}, {"ref": "mdimercurio/test-submission", "kernel_id": "108146"}, {"ref": "anantzoid/default", "kernel_id": "231826"}, {"ref": "anantzoid/notebookfcfdda8093", "kernel_id": "104812"}, {"ref": "anantzoid/keras-given-features", "kernel_id": "105288"}, {"ref": "anantzoid/neural-network-through-keras", "kernel_id": "106190"}, {"ref": "potterxu/leaf-classfication", "kernel_id": "96420"}, {"ref": "hofpcp/10-classifier-showdown-in-scikit-learn-forked", "kernel_id": "155030"}, {"ref": "shreyaarora/notebookbf777eef0f", "kernel_id": "111446"}, {"ref": "shreyaarora/testing-1-2-3", "kernel_id": "111447"}, {"ref": "aerolsh/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "179540"}, {"ref": "aerolsh/tensorflow-framework-with-logistic-regression", "kernel_id": "179549"}, {"ref": "mxcxsx/keras-w-merge-layer-logloss-0-21", "kernel_id": "94459"}, {"ref": "pinjutien/notebookd9ff1f875d", "kernel_id": "191525"}, {"ref": "boswald/10-classifier-showdown-in-scikit-learn", "kernel_id": "98622"}, {"ref": "alberthkcheng/support-vector-machine", "kernel_id": "171669"}, {"ref": "andyhe/10-classifier-showdown-in-scikit-learn-9fa7214b", "kernel_id": "163036"}, {"ref": "andyhe/10-classifier-showdown-in-scikit-learn-6f312c75", "kernel_id": "163037"}, {"ref": "andyhe/leaf-classifier", "kernel_id": "156158"}, {"ref": "andyhe/learning-classifier", "kernel_id": "156165"}, {"ref": "andyhe/10-classifier-showdown-in-scikit-learn", "kernel_id": "156172"}, {"ref": "yongyang/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "145801"}, {"ref": "feirie/notebook0ecade71ad", "kernel_id": "146315"}, {"ref": "tmfukui/notebook0db90c6d75", "kernel_id": "121660"}, {"ref": "ldecamp/notebookd5bced7ef7", "kernel_id": "97496"}, {"ref": "ldecamp/notebookc0f8f067b1", "kernel_id": "97517"}, {"ref": "sramirez/notebook17bf3529e4", "kernel_id": "152486"}, {"ref": "sramirez/deep-learning-in-r-with-h2o", "kernel_id": "152490"}, {"ref": "sramirez/quick-exploration-and-cleaning-on-leaf-data", "kernel_id": "150720"}, {"ref": "erikolson/notebook3c67436386", "kernel_id": "119101"}, {"ref": "momentaj/10-classifier-showdown-in-scikit-learn", "kernel_id": "196462"}, {"ref": "momentaj/notebook41d9faf7d0", "kernel_id": "185410"}, {"ref": "natsu05/leaf-classification", "kernel_id": "165089"}, {"ref": "sabyasm/10-classifier-showdown-in-scikit-learn", "kernel_id": "96759"}, {"ref": "kgatilin/notebook52b2dff52e", "kernel_id": "161032"}, {"ref": "iamsiva11/3-basic-classifiers-and-features-correlation", "kernel_id": "195873"}, {"ref": "anji2727/notebook21a983e0a8", "kernel_id": "156725"}, {"ref": "octavianh/10-classifier-showdown-in-scikit-learn", "kernel_id": "171273"}, {"ref": "octavianh/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "171303"}, {"ref": "parikshitjoshi/leaf-r", "kernel_id": "183929"}, {"ref": "parikshitjoshi/leaf-rf", "kernel_id": "185660"}, {"ref": "pratik1390/notebookf4212c569d", "kernel_id": "174470"}, {"ref": "efuentes/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "196638"}, {"ref": "louisguth/train-random-forest", "kernel_id": "145792"}, {"ref": "jennysy2002/neural-network-through-keras-1d8ea321", "kernel_id": "103907"}, {"ref": "jennysy2002/neural-network-through-keras-eb06a7e5", "kernel_id": "103915"}, {"ref": "epuertas/notebookcb3218a20d", "kernel_id": "151603"}, {"ref": "winsxx/minimize-logloss-with-output-manipulation-0-044", "kernel_id": "98954"}, {"ref": "winsxx/neural-network-pca-output-manipulation", "kernel_id": "99167"}, {"ref": "cogsbox/neural-network-through-keras", "kernel_id": "105966"}, {"ref": "nitinagarwal/neural-network-through-keras", "kernel_id": "98700"}, {"ref": "elusivedelusive/exploring-leafs", "kernel_id": "103753"}, {"ref": "elusivedelusive/10-classifier-showdown-in-scikit-learn", "kernel_id": "107242"}, {"ref": "rahulpenti/10-classifier-showdown-in-scikit-learn", "kernel_id": "100151"}, {"ref": "jaylkim/notebooke05083f9c1", "kernel_id": "107282"}, {"ref": "davesteps/notebookee153f2b75", "kernel_id": "132287"}, {"ref": "ghostintheshell/feature-extraction-from-images", "kernel_id": "241141"}, {"ref": "nolantj/notebook45d98d2bc8", "kernel_id": "96906"}, {"ref": "rgaddati/sklearnensemble2", "kernel_id": "106329"}, {"ref": "stogim/notebook6654769e24", "kernel_id": "109161"}, {"ref": "iezepov/notebookf41681cab5", "kernel_id": "98102"}, {"ref": "vdhankani/notebook7e4de191bb", "kernel_id": "194549"}, {"ref": "lavinialau/leaf-classification-1", "kernel_id": "218475"}, {"ref": "shubhamagrawal/notebook59ea1d99f9", "kernel_id": "127129"}, {"ref": "rmsgrk/10-classifier-showdown-in-scikit-learn", "kernel_id": "98259"}, {"ref": "billwang/notebook61eb4ae62d", "kernel_id": "197987"}, {"ref": "midhun/notebook950cb7b5bb", "kernel_id": "139525"}, {"ref": "iamyoda/leaf-logistic", "kernel_id": "101437"}, {"ref": "bmetka/logistic-regression", "kernel_id": "92789"}, {"ref": "amanzotti/notebookf18c7b4a38", "kernel_id": "99748"}, {"ref": "amanzotti/notebook34f7bce888", "kernel_id": "98012"}, {"ref": "chatcat/10-classifier-showdown-in-scikit-learn", "kernel_id": "104133"}, {"ref": "datayetian/10-classifier-showdown-in-scikit-learn", "kernel_id": "102949"}, {"ref": "grizlk/neural-network-through-keras", "kernel_id": "110296"}, {"ref": "wangping25/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "174574"}, {"ref": "rnels12/notebook13351c48ea", "kernel_id": "171179"}, {"ref": "bmatthewtaylor/bmt-test-1", "kernel_id": "109440"}, {"ref": "charliewillard/neural-network-through-keras", "kernel_id": "107546"}, {"ref": "rtimpe/test-kernel", "kernel_id": "107113"}, {"ref": "arpitsharma/notebook1bf507ab2d", "kernel_id": "101341"}, {"ref": "ypargaien/neural-network-pca-output-manipulation", "kernel_id": "204182"}, {"ref": "ypargaien/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "204156"}, {"ref": "ymcdull/10-classifier-showdown-in-scikit-learn", "kernel_id": "141438"}, {"ref": "ymcdull/nn-through-keras-copied-mod-forked", "kernel_id": "141445"}, {"ref": "ymcdull/neural-network-through-keras", "kernel_id": "122601"}, {"ref": "geoheil/feature-extraction-from-images", "kernel_id": "109529"}, {"ref": "raghubanshgupta/notebook0e85e32769", "kernel_id": "172322"}, {"ref": "hugovalk/notebookd1e807518e", "kernel_id": "116377"}, {"ref": "granota/10-classifier-showdown-in-scikit-learn", "kernel_id": "95009"}, {"ref": "sankethmopuru/notebookba65b9802f", "kernel_id": "95677"}, {"ref": "jinkook/notebook7a03f82166", "kernel_id": "98116"}, {"ref": "thebr3w/leaf-classifier-kneighborsclassifier", "kernel_id": "108304"}, {"ref": "thebr3w/notebookbcc6a3cec8", "kernel_id": "107509"}, {"ref": "thebr3w/notebookfb202a0d81", "kernel_id": "107139"}, {"ref": "awerroes/t-sne-algorithm-in-r", "kernel_id": "175217"}, {"ref": "awerroes/fast-image-exploration", "kernel_id": "95301"}, {"ref": "golesco/10-classifier-showdown-in-scikit-learn", "kernel_id": "100836"}, {"ref": "agbmurphy/classifying-leaf-data-with-nearest-neighbors", "kernel_id": "163981"}, {"ref": "unicorn23/leaf-classification-with-xgboost", "kernel_id": "107973"}, {"ref": "joheras/notebook9a30bf2991", "kernel_id": "105903"}, {"ref": "ramirojc/visualizing-pca-with-leaf-dataset", "kernel_id": "162970"}, {"ref": "hanshan/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "169248"}, {"ref": "ferrarisf50/notebook65a6a71764", "kernel_id": "96284"}, {"ref": "ferrarisf50/notebook2a9eb6ebe3", "kernel_id": "96138"}, {"ref": "ferrarisf50/leaf-classifier", "kernel_id": "95865"}, {"ref": "rishiyadav/notebook582eb3a5eb", "kernel_id": "192752"}, {"ref": "adiwijaya/notebook9026624159", "kernel_id": "142731"}, {"ref": "allenhuang/visualizing-pca-with-leaf-dataset", "kernel_id": "184227"}, {"ref": "abhilashawasthi/neural-network-through-keras", "kernel_id": "99279"}, {"ref": "kishensurajp/notebook8e5e97229c", "kernel_id": "110001"}, {"ref": "hoondori/notebooke203cd9fdc", "kernel_id": "146752"}, {"ref": "hoondori/notebooke92fb86827", "kernel_id": "145339"}, {"ref": "pussinboots/first-script", "kernel_id": "98519"}, {"ref": "anjithgeorge/nn-through-keras-copied-mod", "kernel_id": "127378"}, {"ref": "odysseask/basic-neural-network-using-tensorflow", "kernel_id": "116661"}, {"ref": "odysseask/linear-svm-attempt", "kernel_id": "126781"}, {"ref": "sasali/notebook83cb3b1069", "kernel_id": "175415"}, {"ref": "stainsby/data-extraction-and-exploration", "kernel_id": "151140"}, {"ref": "lorinc/feature-extraction-from-images", "kernel_id": "102021"}, {"ref": "lorinc/feature-extraction-v4", "kernel_id": "112029"}, {"ref": "lorinc/custom-vs-provided-leaf-data", "kernel_id": "108336"}, {"ref": "lorinc/feature-extraction-from-images-2", "kernel_id": "106004"}, {"ref": "nrupatunga/10-classifier-showdown-in-scikit-learn", "kernel_id": "154573"}, {"ref": "nrupatunga/10-classifier-showdown-in-scikit-learn-03871d4b", "kernel_id": "154773"}, {"ref": "madhumala/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "192869"}, {"ref": "kraskevich/10-classifier-showdown-in-scikit-learn", "kernel_id": "102577"}, {"ref": "nvergos/neural-network-through-keras", "kernel_id": "97202"}, {"ref": "upgrade/notebook474d7432ab", "kernel_id": "144717"}, {"ref": "pomodorochris/notebookd8aad42d61", "kernel_id": "155056"}, {"ref": "liprais/notebook18af3fd133", "kernel_id": "166793"}, {"ref": "datadatadata/notebook7014055cab", "kernel_id": "118185"}, {"ref": "attila007/notebook78f404511a", "kernel_id": "93425"}, {"ref": "yinanxu/notebook5b04e54884", "kernel_id": "93880"}, {"ref": "yinanxu/leaf-classification-simple", "kernel_id": "93881"}, {"ref": "yinanxu/simple-nn", "kernel_id": "93982"}, {"ref": "iamchanchal/parameter-tuning-randomforest-gridsearch", "kernel_id": "101529"}, {"ref": "iamchanchal/randomforest-grid-search", "kernel_id": "101531"}, {"ref": "manojagr/notebook0b5675d708", "kernel_id": "187541"}, {"ref": "madhulika189/notebook97f4f2d075", "kernel_id": "93258"}, {"ref": "janpeter/10-classifier-showdown-in-scikit-learn", "kernel_id": "180316"}, {"ref": "mikell/neural-network-through-keras", "kernel_id": "116633"}, {"ref": "pkuwalker/notebookff0c580f19", "kernel_id": "128248"}, {"ref": "dc4data/notebooke66e3be516", "kernel_id": "138344"}, {"ref": "dc4data/leaf-classification-dc", "kernel_id": "138229"}, {"ref": "wordsforthewise/neural-network-through-keras", "kernel_id": "149613"}, {"ref": "alickl/10-classifier-showdown-in-scikit-learn", "kernel_id": "97342"}, {"ref": "kumarabhishek9/notebookfbbb21d376", "kernel_id": "139765"}, {"ref": "kumarabhishek9/randomforestscript", "kernel_id": "139767"}, {"ref": "passionofml/notebook80053e7f0f", "kernel_id": "119824"}, {"ref": "thisisnic/multinomial-logistic-regression-0-02983", "kernel_id": "95798"}, {"ref": "thisisnic/k-nearest-neighbours", "kernel_id": "95806"}, {"ref": "syaffers/basic-grid-search-svm-classifier", "kernel_id": "93012"}, {"ref": "shrikeler/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "185593"}, {"ref": "shrikeler/keras-convnet-lb-0-0052-w-visualization-9297e4", "kernel_id": "185595"}, {"ref": "apapiu/logistic-regression", "kernel_id": "93015"}, {"ref": "apapiu/notebook4c37b39cc1", "kernel_id": "93005"}, {"ref": "apapiu/notebookbf4b04c175", "kernel_id": "92901"}, {"ref": "apapiu/neural-network-through-keras", "kernel_id": "99183"}, {"ref": "apapiu/notebook35e2507ffa", "kernel_id": "101151"}, {"ref": "apapiu/notebook232805d70d", "kernel_id": "101270"}, {"ref": "apapiu/notebook6d81617ade", "kernel_id": "102812"}, {"ref": "apapiu/notebook576a9b37b7", "kernel_id": "102552"}, {"ref": "apapiu/notebook319edfa4c9", "kernel_id": "105791"}, {"ref": "towhid1/custom-vs-provided-leaf-data", "kernel_id": "109362"}, {"ref": "towhid1/rforest-with-calibration-score-0-07948", "kernel_id": "109294"}, {"ref": "towhid1/lineardiscriminantanalysis", "kernel_id": "112245"}, {"ref": "kaushalshetty/using-randomforest-score-0-69372", "kernel_id": "177996"}, {"ref": "bestaar/fiddling-around-with-manifold-learning-methods", "kernel_id": "139930"}, {"ref": "takeaki/notebook0b29f2552e", "kernel_id": "164713"}, {"ref": "takeaki/notebook4f99acaefb", "kernel_id": "164662"}, {"ref": "tunguz/extra-trees-1", "kernel_id": "92924"}, {"ref": "tunguz/logistic-regression", "kernel_id": "92925"}, {"ref": "zhonghuir/classifying-leaf-data-with-nearest-neighbors", "kernel_id": "132267"}, {"ref": "zhonghuir/sample", "kernel_id": "132273"}, {"ref": "zhonghuir/notebookbbeafb084e", "kernel_id": "132274"}, {"ref": "ermochi/10-classifier-showdown-in-scikit-learn", "kernel_id": "193800"}, {"ref": "kaka6599/notebookf5d0b48beb", "kernel_id": "156519"}, {"ref": "philippgaertner/notebook4913f83397", "kernel_id": "119398"}, {"ref": "philippgaertner/leaf-shape-features", "kernel_id": "107188"}, {"ref": "philippgaertner/notebook0efe217126", "kernel_id": "104805"}, {"ref": "ganliu/notebookbe7cd2a522", "kernel_id": "121302"}, {"ref": "yuzhibo/notebook497d66c483", "kernel_id": "98962"}, {"ref": "anshulsingla/notebook2befcf9340", "kernel_id": "270739"}, {"ref": "moonbury/leaf-classification-using-svm", "kernel_id": "106442"}, {"ref": "moonbury/feature-extraction-from-images", "kernel_id": "240952"}, {"ref": "praveendua/notebook3c0765fb67", "kernel_id": "98361"}, {"ref": "yuhuang/test-regress", "kernel_id": "97673"}, {"ref": "isosnovik/fork-of-random-jungle", "kernel_id": "96640"}, {"ref": "isosnovik/notebook65c1c87ebd", "kernel_id": "93364"}, {"ref": "isosnovik/notebook72f6fece79", "kernel_id": "93392"}, {"ref": "jeorryb/10-classifier-showdown-in-scikit-learn", "kernel_id": "118428"}, {"ref": "miksmiks/leaf-classification-with-simple-xgboost", "kernel_id": "98740"}, {"ref": "kirovverst/notebook6c3dd5c349", "kernel_id": "124985"}, {"ref": "cockapotamus/keras-convnet-lb-0-0052-w-visualization-b6dc70", "kernel_id": "187542"}, {"ref": "cockapotamus/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "187496"}, {"ref": "crazyseabiscuit/10-classifier-showdown-in-scikit-learn", "kernel_id": "97056"}, {"ref": "crazyseabiscuit/10-classifier-showdown-in-scikit-learn-714f7cf2", "kernel_id": "97134"}, {"ref": "vijayvj/notebook8b299ee363", "kernel_id": "95112"}, {"ref": "timothymiko/notebook1eecbc77f9", "kernel_id": "106049"}, {"ref": "linkinparkcs/sketch", "kernel_id": "124643"}, {"ref": "icecube314/cv-knn-for-leaf-classification", "kernel_id": "117015"}, {"ref": "icecube314/merged-keras-for-leaf-classification", "kernel_id": "110056"}, {"ref": "icecube314/simple-random-forest-for-lead-classification", "kernel_id": "110071"}, {"ref": "icecube314/cv-log-reg-for-leaf-classification", "kernel_id": "110479"}, {"ref": "icecube314/script00121213342", "kernel_id": "113020"}, {"ref": "icecube314/keras-3-layer-nn", "kernel_id": "118959"}, {"ref": "icecube314/keras-neural-network", "kernel_id": "118935"}, {"ref": "group16/feature-extraction-from-images", "kernel_id": "116389"}, {"ref": "group16/shapelets", "kernel_id": "123218"}, {"ref": "zeamxie/10-classifier-showdown-in-scikit-learn", "kernel_id": "186496"}, {"ref": "sukeshperla/myfirsthands-leafclassification", "kernel_id": "99610"}, {"ref": "liudahchris/notebooka27014e417", "kernel_id": "168847"}, {"ref": "puhoshville/10-classifier-showdown-in-scikit-learn", "kernel_id": "145934"}, {"ref": "puhoshville/nn-through-keras-copied", "kernel_id": "149035"}, {"ref": "puhoshville/nn-through-keras-copied-94c0f3f4", "kernel_id": "149039"}, {"ref": "puhoshville/nn-through-keras-copied-9e12dea0", "kernel_id": "149225"}, {"ref": "janmolemans/notebooke80d76541f", "kernel_id": "95027"}, {"ref": "alokranjan1234/notebook3cb86682e9", "kernel_id": "108700"}, {"ref": "nereusz/basic-neural-network-using-tensorflow", "kernel_id": "185957"}, {"ref": "romero/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "174573"}, {"ref": "apurveyajnik/neural-network-through-keras-b8299a50", "kernel_id": "102461"}, {"ref": "apurveyajnik/neural-network-through-keras-6f2a25d4", "kernel_id": "102293"}, {"ref": "danielhuckins/notebookcf30da374f", "kernel_id": "101066"}, {"ref": "danielhuckins/svm-attempt-1", "kernel_id": "101060"}, {"ref": "wpf5511/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "151492"}, {"ref": "pizzaslice/neural-network-through-keras", "kernel_id": "129946"}, {"ref": "pizzaslice/notebook64f2209e18", "kernel_id": "130599"}, {"ref": "bcpmax/notebook619f2fb71c", "kernel_id": "144285"}, {"ref": "jbcollins4/empty-notebook-0002", "kernel_id": "169928"}, {"ref": "jbcollins4/leaf-classification-working", "kernel_id": "171478"}, {"ref": "bosun001/notebook60e6cbddab", "kernel_id": "100164"}, {"ref": "b10100101010101/notebook02e738d9de", "kernel_id": "108172"}, {"ref": "geoffcc/leaf1", "kernel_id": "114786"}, {"ref": "geoffcc/scikitlearn-mlp", "kernel_id": "120984"}, {"ref": "sgoriv/feature-extraction-from-images-2", "kernel_id": "173668"}, {"ref": "sgoriv/feature-extraction-from-images", "kernel_id": "173665"}, {"ref": "iitrankit/ankit-1", "kernel_id": "99412"}, {"ref": "prerit912/ml-algorithm-showdown-thanks-jeff-delaney", "kernel_id": "98777"}, {"ref": "linshenzhen/notebook6bfab10ff4", "kernel_id": "280575"}, {"ref": "francescoimbriglia/compare-multiple-classification-models-with-caret", "kernel_id": "152731"}, {"ref": "uj2295/10-classifier-showdown-in-scikit-learn", "kernel_id": "177987"}, {"ref": "uj2295/10-classifier-showdown-in-scikit-learn-e24267f4", "kernel_id": "177994"}, {"ref": "onlytailei/notebookf294ebab8f", "kernel_id": "94076"}, {"ref": "nathanyee/notebook9ca63345e4", "kernel_id": "123063"}, {"ref": "nathanyee/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "183850"}, {"ref": "draschemus/notebookfe4b68bfef", "kernel_id": "176662"}, {"ref": "draschemus/notebookffac2da147", "kernel_id": "177557"}, {"ref": "svadams2/10-classifier-showdown-in-scikit-learn", "kernel_id": "99631"}, {"ref": "sn2234/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "145563"}, {"ref": "sn2234/keras-convnet-lb-0-0052-w-visualization-e33f601d", "kernel_id": "145564"}, {"ref": "shababa/notebookad7a399dc0", "kernel_id": "171008"}, {"ref": "orionnr/notebook105e5af71e", "kernel_id": "147234"}, {"ref": "orionnr/notebookea89a12a45", "kernel_id": "153043"}, {"ref": "twarakavi/feature-extraction-from-images", "kernel_id": "143005"}, {"ref": "sarthak96agarwal/10-classifier-showdown-in-scikit-learn", "kernel_id": "103190"}, {"ref": "felixsoul/basic-neural-network-using-tensorflow", "kernel_id": "93078"}, {"ref": "marcocarnini/data-set-up", "kernel_id": "95464"}, {"ref": "marcocarnini/random-forest-first-attempt", "kernel_id": "95466"}, {"ref": "ludviglamm/feature-extraction-from-images", "kernel_id": "103556"}, {"ref": "ludviglamm/notebookaa71c9cf54", "kernel_id": "103559"}, {"ref": "amit5s3/notebookd19da1bf7f", "kernel_id": "99901"}, {"ref": "arjoonn/scoutscript-1", "kernel_id": "101991"}, {"ref": "arjoonn/the-jungle-book", "kernel_id": "95221"}, {"ref": "mattbay/notebook926f6b81cb", "kernel_id": "214325"}, {"ref": "rossxsy/eda-and-a-logistic-regression-lb-0-04", "kernel_id": "112955"}, {"ref": "rossxsy/testing-multiple-classifiers", "kernel_id": "119433"}, {"ref": "rossxsy/notebook8e2d4a9d90", "kernel_id": "120436"}, {"ref": "rossxsy/model-stacking-with-logistic-regression", "kernel_id": "120310"}, {"ref": "rossxsy/fork-of-eda-and-a-logistic-regression-lb-0-04", "kernel_id": "120739"}, {"ref": "yusridh/custom-vs-provided-leaf-data", "kernel_id": "109272"}, {"ref": "yusridh/10-classifier-showdown-in-scikit-learn", "kernel_id": "185209"}, {"ref": "gopigrip7/feature-extraction-from-images", "kernel_id": "114034"}, {"ref": "evgeniymalishev/randomforest", "kernel_id": "113323"}, {"ref": "evgeniymalishev/notebookbd09b43721", "kernel_id": "113320"}, {"ref": "evgeniymalishev/notebook061ed132f8", "kernel_id": "113299"}, {"ref": "mrisdal/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "173079"}, {"ref": "mrisdal/10-classifier-showdown-in-scikit-learn", "kernel_id": "173088"}, {"ref": "mrisdal/keras-convnet-lb-0-0052-w-visualization-e95586bd", "kernel_id": "173086"}, {"ref": "rhyando/notebookd35108f6b1", "kernel_id": "109823"}, {"ref": "alexanderlazarev/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "161507"}, {"ref": "alexanderlazarev/simple-keras-1d-cnn-features-split", "kernel_id": "111639"}, {"ref": "cheerdiandian/notebook9be52085f1", "kernel_id": "102521"}, {"ref": "prateekbhat/notebookdf3431f104", "kernel_id": "93267"}, {"ref": "prateekbhat/ml-classic-pipeline-python-xgboost", "kernel_id": "93710"}, {"ref": "prateekbhat/keras-adam", "kernel_id": "93932"}, {"ref": "prateekbhat/keras-linear", "kernel_id": "93926"}, {"ref": "prateekbhat/removing-features", "kernel_id": "98004"}, {"ref": "sasamos/10-classifier-showdown-in-scikit-learn", "kernel_id": "97394"}, {"ref": "edomedo/feature-extraction-from-images", "kernel_id": "137568"}, {"ref": "edomedo/feature-extraction-from-images-2", "kernel_id": "137612"}, {"ref": "timgasser/notebooka3ecab1ab6", "kernel_id": "96737"}, {"ref": "anokas/logistic-regression", "kernel_id": "92910"}, {"ref": "anokas/simple-xgboost", "kernel_id": "92912"}, {"ref": "progmatix/notebookf1894c520c", "kernel_id": "157732"}, {"ref": "zarmeen/tensorflow-framework-with-logistic-regression", "kernel_id": "191823"}, {"ref": "zarmeen/tensorflow-example", "kernel_id": "191827"}, {"ref": "zarmeen/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "191872"}, {"ref": "emptycasket/fork-of-notebook373d42a647", "kernel_id": "97905"}, {"ref": "justonsong/notebooka7b8333777", "kernel_id": "194820"}, {"ref": "zavodrobotov/10-classifier-showdown-in-scikit-learn", "kernel_id": "101173"}, {"ref": "kuanhoong/scikit-learn-logistic-regression", "kernel_id": "571819"}, {"ref": "hpatel86/notebookc00c91d5e2", "kernel_id": "140498"}, {"ref": "hpatel86/comparing-models", "kernel_id": "140775"}, {"ref": "wolterlw/leave-classification-with-convnet-in-keras-wip", "kernel_id": "168821"}, {"ref": "bsparks/notebookb8dbdc31ba", "kernel_id": "108475"}, {"ref": "jbuhler/notebookba88e860da", "kernel_id": "138576"}, {"ref": "felixzhao/leafclassification", "kernel_id": "94600"}, {"ref": "ftrestour/notebook87abb7f877", "kernel_id": "110744"}, {"ref": "kotaroito/using-randomforest", "kernel_id": "188600"}, {"ref": "kotaroito/notebookd450e0e009", "kernel_id": "195854"}, {"ref": "wufasa/test-py", "kernel_id": "130387"}, {"ref": "gtrimarc/visualizing-pca-with-leafs", "kernel_id": "153549"}, {"ref": "sananth12/notebooke350365571", "kernel_id": "176988"}, {"ref": "sananth12/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "176989"}, {"ref": "pavan85/feature-extraction-from-images", "kernel_id": "191871"}, {"ref": "vincentt/testing", "kernel_id": "130203"}, {"ref": "ashish2709/10-classifier-showdown-in-scikit-learn", "kernel_id": "101308"}, {"ref": "ashish2709/10-classifier-showdown-in-scikit-learn-2c6183eb", "kernel_id": "101309"}, {"ref": "moodymandy/10-classifier-showdown-in-scikit-learn", "kernel_id": "96940"}, {"ref": "dezmoanded/10-classifier-showdown-in-scikit-learn", "kernel_id": "108345"}, {"ref": "cmathias/notebookd-djs-test", "kernel_id": "101229"}, {"ref": "cmathias/notebook4d6e7f4f54", "kernel_id": "102420"}, {"ref": "tsvetk0ff/rrrrr", "kernel_id": "113816"}, {"ref": "znzn95/feature-correlation", "kernel_id": "121458"}, {"ref": "angelajinyq/test-submission", "kernel_id": "120328"}, {"ref": "rwexler/feature-exploration-for-leaf-classification", "kernel_id": "191444"}, {"ref": "skibaai/feature-correlation", "kernel_id": "116059"}, {"ref": "skibaai/notebookeb3f90a7a7", "kernel_id": "114385"}, {"ref": "skibaai/10-classifier-showdown-in-scikit-learn", "kernel_id": "118694"}, {"ref": "romanovacca/3-basic-classifiers-and-features-correlation", "kernel_id": "109001"}, {"ref": "tngodup/ski-kit-pipeline-sample", "kernel_id": "95349"}, {"ref": "youzi2016/notebook43c197ebe9", "kernel_id": "136617"}, {"ref": "guilhermescha/notebook9675b3c2ed", "kernel_id": "100993"}, {"ref": "luokai/rf-0-98-on-test-data-that-20-of-train", "kernel_id": "150813"}, {"ref": "luokai/feature-extraction-from-images", "kernel_id": "151673"}, {"ref": "ryankenning/notebookf11f0ddfd1", "kernel_id": "123308"}, {"ref": "sn7ghost/notebook8d2f418d7a", "kernel_id": "154227"}, {"ref": "sn7ghost/leaf-knn", "kernel_id": "149184"}, {"ref": "eliotbarr/tsne-exploration", "kernel_id": "148539"}, {"ref": "daielchom/pca-data-and-imges-lineardiscriminantanalysis", "kernel_id": "172205"}, {"ref": "daielchom/notebookbf855fe07c", "kernel_id": "172230"}, {"ref": "rj2017/10-classifier-showdown-in-scikit-learn", "kernel_id": "113818"}, {"ref": "rafaelmm/leaf-skeleton-possible-features", "kernel_id": "177692"}, {"ref": "rafaelmm/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "174736"}, {"ref": "matthewmckay/notebookbcf517f9f1", "kernel_id": "165233"}, {"ref": "blargl/10-classifier-showdown-in-scikit-learn", "kernel_id": "165738"}, {"ref": "blargl/nn-through-keras-copied-mod", "kernel_id": "182603"}, {"ref": "blargl/notebook985d3c3978", "kernel_id": "189872"}, {"ref": "achraf112/notebookd8d0bf1311", "kernel_id": "160984"}, {"ref": "hist0613/notebook176f41238a", "kernel_id": "97682"}, {"ref": "najeebkhan/neural-network-through-keras", "kernel_id": "96004"}, {"ref": "ajith12/notebook9f1ec4b9f4", "kernel_id": "141854"}, {"ref": "hangfengyang/10-classifier-showdown-in-scikit-learn", "kernel_id": "95676"}, {"ref": "jihyeseo/leaf-images-classify", "kernel_id": "958695"}, {"ref": "crailtap/spectral-image-features-testing", "kernel_id": "92798"}, {"ref": "zhhtc200/my-notebook", "kernel_id": "98178"}, {"ref": "dautovri/logistic-regression", "kernel_id": "94858"}, {"ref": "ugopiq/test-leaf-classification", "kernel_id": "109995"}, {"ref": "stanleyxie/10-classifier-showdown-in-scikit-learn", "kernel_id": "98830"}, {"ref": "stanleyxie/10-classifier-showdown-in-scikit-learn-2d57e56d", "kernel_id": "98836"}, {"ref": "lileinba/some-notes-on-pca-bayes-algorithm", "kernel_id": "171639"}, {"ref": "lileinba/notebookbc41b6d58a", "kernel_id": "171661"}, {"ref": "lileinba/notebook0401c8be54", "kernel_id": "171633"}, {"ref": "frenzykryger/notebook40d958bda6", "kernel_id": "103966"}, {"ref": "praschau7/notebook1b90cbf35d", "kernel_id": "115395"}, {"ref": "praschau7/notebookeead160869", "kernel_id": "118066"}, {"ref": "renjiuhu/notebook4140f20e11", "kernel_id": "168399"}, {"ref": "youngkil9999/notebook05646bad8c", "kernel_id": "120925"}, {"ref": "youngkil9999/notebookc5c4ec06e5", "kernel_id": "120916"}, {"ref": "chbimo/notebookee6b031cb5", "kernel_id": "110677"}, {"ref": "mawady/notebook0d8d146102", "kernel_id": "123441"}, {"ref": "mawady/notebook1fad844c6e", "kernel_id": "123442"}, {"ref": "mawady/notebook0077643d81", "kernel_id": "133737"}, {"ref": "mrquan/notebook13b86e36a5", "kernel_id": "108149"}, {"ref": "mrquan/fork-of-notebook24e2a8be4c", "kernel_id": "167147"}, {"ref": "mrquan/notebookf2cd93e042", "kernel_id": "167133"}, {"ref": "babatee/10-classifier-showdown-in-scikit-learn", "kernel_id": "119067"}, {"ref": "rbales/leaf-sklearn-classifier", "kernel_id": "154194"}, {"ref": "waterfling2008/10-classifier-showdown-in-scikit-learn", "kernel_id": "122807"}, {"ref": "vikasp/notebook25a2562005", "kernel_id": "123802"}, {"ref": "esoeff/notebooke28fe79e79", "kernel_id": "111696"}, {"ref": "shamo002/notebook3bc4965f3d", "kernel_id": "93566"}, {"ref": "root009/notebook869a3729a8", "kernel_id": "188708"}, {"ref": "primenumber/notebook00a902fa69", "kernel_id": "93523"}, {"ref": "primenumber/k-nearest-neighbors", "kernel_id": "93526"}, {"ref": "primenumber/random-forest", "kernel_id": "93528"}, {"ref": "kyfoop/10-classifier-showdown-in-scikit-learn", "kernel_id": "123747"}, {"ref": "kyfoop/notebookb68b596b8d", "kernel_id": "121608"}, {"ref": "headliner/deep-learning-in-r-with-h2o", "kernel_id": "161789"}, {"ref": "edmwanza1/notebook0abd4ff7f6", "kernel_id": "123243"}, {"ref": "edmwanza1/notebook666f49417c", "kernel_id": "123224"}, {"ref": "chridam/10-classifier-showdown-in-scikit-learn-4974eeb8", "kernel_id": "177531"}, {"ref": "chridam/10-classifier-showdown-in-scikit-learn", "kernel_id": "173242"}, {"ref": "bburns/notebook4dad39628f", "kernel_id": "110714"}, {"ref": "ismaila/minimize-logloss-with-output-manipulation-0-044", "kernel_id": "100922"}, {"ref": "ismaila/notebooka55804e6bd", "kernel_id": "105363"}, {"ref": "cooperxiong/10-classifier-showdown-in-scikit-learn", "kernel_id": "102609"}, {"ref": "thirdth/10-classifier-showdown-in-scikit-learn", "kernel_id": "109119"}, {"ref": "abonec/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "187107"}, {"ref": "willyboy0/notebookc0383cd71f", "kernel_id": "200019"}, {"ref": "souravsingh/predict-leaf", "kernel_id": "191159"}, {"ref": "souravsingh/predi", "kernel_id": "191183"}, {"ref": "qianchao/got-a-0-009-in-test-with-keras", "kernel_id": "503465"}, {"ref": "ernie55ernie/keras-model-usage-on-leaf-classification", "kernel_id": "177796"}, {"ref": "ernie55ernie/sklearn-model-usage-on-leaf-classificaition", "kernel_id": "170823"}, {"ref": "mingze/notebookb71e79af8e", "kernel_id": "142942"}, {"ref": "yeyedaren/logistic-regression-based-on-sklearn", "kernel_id": "195288"}, {"ref": "coppensg/notebook7f7b8dce21", "kernel_id": "125367"}, {"ref": "coppensg/notebookb1cc37b723", "kernel_id": "125358"}, {"ref": "coppensg/notebook2d36ced3c0", "kernel_id": "117386"}, {"ref": "coppensg/notebook9d26dd9d81", "kernel_id": "106290"}, {"ref": "yogiman/feature-extraction-from-images", "kernel_id": "108277"}, {"ref": "davidzornek/notebookd529195dd2", "kernel_id": "178719"}, {"ref": "dssariya/analyzing-data", "kernel_id": "92662"}, {"ref": "dssariya/leaf-classification", "kernel_id": "113394"}, {"ref": "andriid/notebookbf7cbc9e12", "kernel_id": "154887"}, {"ref": "makeyoureal/notebookde69a403a9", "kernel_id": "183309"}, {"ref": "asparago/3-basic-classifiers-and-features-correlation", "kernel_id": "106521"}, {"ref": "jasonhan/10-classifier-showdown-in-scikit-learn", "kernel_id": "104994"}, {"ref": "anki08/leaf-clssifier", "kernel_id": "105229"}, {"ref": "anki08/logistic-regression-leaf-classification", "kernel_id": "105018"}, {"ref": "varshinig/notebookf3ee8d8895", "kernel_id": "165270"}, {"ref": "ryanyuan42/notebook3e88cdc37b", "kernel_id": "93783"}, {"ref": "jeffd23/10-classifier-showdown-in-scikit-learn", "kernel_id": "94174"}, {"ref": "dkurtaev/test-tensorflow", "kernel_id": "94891"}, {"ref": "xhuang25/nn-through-keras-copied-mod", "kernel_id": "183891"}, {"ref": "xhuang25/feature-extraction-from-images", "kernel_id": "124009"}, {"ref": "xhuang25/notebookdf92c89986", "kernel_id": "124111"}, {"ref": "xhuang25/my-first-random-forest-run-score-0-12", "kernel_id": "132700"}, {"ref": "xhuang25/nn-through-keras-copied", "kernel_id": "127405"}, {"ref": "xhuang25/neural-network-through-keras", "kernel_id": "127397"}, {"ref": "lesnio/10-classifier-showdown-in-scikit-learn", "kernel_id": "101597"}, {"ref": "lesnio/10-classifier-showdown-in-scikit-learn-660a36c4", "kernel_id": "107815"}, {"ref": "lesnio/10-classifier-showdown-in-scikit-learn-bbea6be3", "kernel_id": "103161"}, {"ref": "ipranata/my-first-script", "kernel_id": "147384"}, {"ref": "sjbstrat/10-classifier-showdown-in-scikit-learn", "kernel_id": "96706"}, {"ref": "edebrouwer/leaves-classifier", "kernel_id": "104859"}, {"ref": "sethzgold/notebook3c937eeca0", "kernel_id": "172347"}, {"ref": "sethzgold/test123", "kernel_id": "172348"}, {"ref": "gstbimo/10-classifier-showdown-in-scikit-learn", "kernel_id": "109517"}, {"ref": "angelmm/leaf-keras-2layerednn", "kernel_id": "135125"}, {"ref": "angelmm/leaf-cnn-with-image-generator", "kernel_id": "165061"}, {"ref": "tennissuperstar/notebook963489bf6e", "kernel_id": "101130"}, {"ref": "gaokai/notebook067196b827", "kernel_id": "223625"}, {"ref": "gaokai/notebook6d433b1a47", "kernel_id": "223588"}, {"ref": "alexionby/notebook5c215ccbe6", "kernel_id": "126508"}, {"ref": "alexionby/first-attempt", "kernel_id": "128686"}, {"ref": "alexionby/notebookb54c3ab920", "kernel_id": "180493"}, {"ref": "alexionby/neural-network-through-keras", "kernel_id": "180495"}, {"ref": "alexionby/simple-keras-1d-cnn-features-split", "kernel_id": "141139"}, {"ref": "alexionby/simple-keras-1d-cnn-features-split-6f7086b6", "kernel_id": "141146"}, {"ref": "alexionby/notebookcbc6345b8f", "kernel_id": "195897"}, {"ref": "abhmul/notebook8bc848521e", "kernel_id": "137771"}, {"ref": "abhmul/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "137743"}, {"ref": "abhmul/notebook459bbffe54", "kernel_id": "149356"}, {"ref": "kaarthik/notebookedfe078c98", "kernel_id": "99849"}, {"ref": "pomcat/10-classifier-showdown-in-scikit-learn", "kernel_id": "132505"}, {"ref": "anich003/notebookfb7322d5bb", "kernel_id": "104063"}, {"ref": "devinney/leaf-classification", "kernel_id": "230243"}, {"ref": "moonlake/notebookb178b7ddfa", "kernel_id": "136399"}, {"ref": "moonlake/notebook2b785bdc8b", "kernel_id": "136400"}, {"ref": "frjo0083/neural-network-pca-output-manipulation", "kernel_id": "158465"}, {"ref": "frjo0083/try-5-different-classifiers-and-questions", "kernel_id": "158454"}, {"ref": "frjo0083/visualizing-pca-with-leaf-dataset", "kernel_id": "158463"}, {"ref": "advaitp/visualizing-pca-with-leaf-dataset", "kernel_id": "166631"}, {"ref": "mistymis/notebookf47921443d", "kernel_id": "152455"}, {"ref": "wangweiching/10-classifier-showdown-in-scikit-learn", "kernel_id": "117834"}, {"ref": "wangweiching/feature-extraction-from-images", "kernel_id": "108995"}, {"ref": "sunnyrain/random-forest-benchmark", "kernel_id": "93266"}, {"ref": "sunnyrain/random-forests-with-0-68-score", "kernel_id": "95080"}, {"ref": "sunnyrain/basic-neural-network-using-tensorflow", "kernel_id": "93513"}, {"ref": "sunnyrain/nerual-network-with-keras", "kernel_id": "95603"}, {"ref": "sunnyrain/notebook33c1302da8", "kernel_id": "95601"}, {"ref": "sunnyrain/testforsteve", "kernel_id": "97504"}, {"ref": "aakash2121995/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "181859"}, {"ref": "kswada/notebook542f0ce291", "kernel_id": "196004"}, {"ref": "kswada/shapelets", "kernel_id": "192434"}, {"ref": "kswada/fork-of-exploration-and-visualization-step-by-ste", "kernel_id": "187889"}, {"ref": "kswada/explore-visualize-by-step-with-dplyr-ggplot2", "kernel_id": "187760"}, {"ref": "kswada/explore-visualize-by-step-with-dplyr-ggplot", "kernel_id": "187812"}, {"ref": "kswada/feature-extraction-from-images", "kernel_id": "180904"}, {"ref": "svesal/notebookd862457829", "kernel_id": "179034"}, {"ref": "diegospereira/notebook691ff825af", "kernel_id": "106081"}, {"ref": "diegospereira/script", "kernel_id": "106082"}, {"ref": "raahuls/notebooke8dc1552b8", "kernel_id": "169343"}, {"ref": "avklesh/nn-through-keras-copied-mod-shuffle", "kernel_id": "189663"}, {"ref": "arvidzt/10-classifier-showdown-in-scikit-learn", "kernel_id": "155223"}, {"ref": "sumihan/feature-extraction-from-images", "kernel_id": "125271"}, {"ref": "hamidsardar/neural-network-through-keras", "kernel_id": "129154"}, {"ref": "yujunnes/notebookef2f429314", "kernel_id": "278730"}, {"ref": "clustersrus/neural-network-through-keras", "kernel_id": "100187"}, {"ref": "pankajtamhane/3-basic-classifiers-and-features-correlation", "kernel_id": "116045"}, {"ref": "nitinvijay23/leaf-classification", "kernel_id": "157397"}, {"ref": "daniboy000/notebook54816798c6", "kernel_id": "152963"}, {"ref": "ynhdng/notebook77fc645db8", "kernel_id": "123560"}, {"ref": "lucasark/notebookdbe07d64a2", "kernel_id": "97300"}, {"ref": "subhodeepstat75/notebook3a51eb704b", "kernel_id": "124123"}, {"ref": "subhodeepstat75/notebook9916b5854c", "kernel_id": "124124"}, {"ref": "zaiyong/leaf-classification-zzy", "kernel_id": "143567"}, {"ref": "kilasue/ml-classic-pipeline-python-xgboost", "kernel_id": "171051"}, {"ref": "kilasue/notebook9afaee89ed", "kernel_id": "165521"}, {"ref": "allen266/10-classifier-showdown-in-scikit-learn", "kernel_id": "132363"}, {"ref": "tinmantapestry/notebooka0a6b2866c", "kernel_id": "198141"}, {"ref": "tinmantapestry/notebookecef528801", "kernel_id": "198168"}, {"ref": "canimus/leaf-classification-sgd-classifier", "kernel_id": "94458"}, {"ref": "canimus/10-classifier-showdown-in-scikit-learn", "kernel_id": "94495"}, {"ref": "pratikshaj/10-classifier-showdown-in-scikit-learn", "kernel_id": "160219"}, {"ref": "pratikshaj/feature-extraction-from-images", "kernel_id": "160887"}, {"ref": "jinrui/notebook0cff30484a", "kernel_id": "133549"}, {"ref": "jinrui/nn-through-keras-copied-mod", "kernel_id": "133607"}, {"ref": "jinrui/leaf-classification-richarlee", "kernel_id": "133578"}, {"ref": "ryanjiang1014/notebook5a553e23ab", "kernel_id": "130609"}, {"ref": "ryanjiang1014/notebook3ac936831e", "kernel_id": "130601"}, {"ref": "ryanjiang1014/notebook62c3f7ebd8", "kernel_id": "130631"}, {"ref": "ryanjiang1014/notebook79f4611974", "kernel_id": "130629"}, {"ref": "ryanjiang1014/notebook3540ddbfff", "kernel_id": "130620"}, {"ref": "huanghuang1991/notebooka18c5ee4d1", "kernel_id": "92696"}, {"ref": "daneelrolivaw1/basic-neural-network-using-tensorflow", "kernel_id": "125017"}, {"ref": "minggli2015/notebook9c3f4331ae", "kernel_id": "104666"}, {"ref": "rtromacek/leaf-ident", "kernel_id": "100156"}, {"ref": "hbk008/nn-through-keras-copied-mod", "kernel_id": "153889"}, {"ref": "raresbarbantan/leafs-with-tensorflow", "kernel_id": "192238"}, {"ref": "giddytadus/10-classifier-showdown-in-scikit-learn", "kernel_id": "96782"}, {"ref": "tejusg/leaf-classification", "kernel_id": "195541"}, {"ref": "tejusg/neural-network-through-keras", "kernel_id": "195526"}, {"ref": "tejusg/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "195503"}, {"ref": "jakelee/10-classifier-showdown-in-scikit-learn", "kernel_id": "137301"}, {"ref": "ravichinoy/notebook942e55f0c0", "kernel_id": "139399"}, {"ref": "nikunjm88/fast-image-exploration", "kernel_id": "181772"}, {"ref": "nikunjm88/some-predictive-models-using-r-caret", "kernel_id": "181787"}, {"ref": "nikunjm88/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "195011"}, {"ref": "lukaoo/notebook0f393de3f9", "kernel_id": "93546"}, {"ref": "namluu/notebook3cc0cdcd1c", "kernel_id": "175234"}, {"ref": "namluu/notebook85419ce4ca", "kernel_id": "158815"}, {"ref": "haitran/leaf-classification", "kernel_id": "92575"}, {"ref": "shydonkeylovescindy/basic-neural-network-using-tensorflow", "kernel_id": "94632"}, {"ref": "shydonkeylovescindy/notebook9b6720b79d", "kernel_id": "94634"}, {"ref": "shydonkeylovescindy/10-classifier-showdown-in-scikit-learn", "kernel_id": "94664"}, {"ref": "seemakanuri/notebook457d1db54d", "kernel_id": "157614"}, {"ref": "colinobrienbi/10-classifier-showdown-in-scikit-learn", "kernel_id": "95467"}, {"ref": "cyrano5614/10-classifier-showdown-in-scikit-learn", "kernel_id": "113266"}, {"ref": "roggin/10-classifier-showdown-in-scikit-learn", "kernel_id": "95647"}, {"ref": "wujia000/notebook339fc3c496", "kernel_id": "107498"}, {"ref": "gvenkat/10-classifier-showdown-in-scikit-learn", "kernel_id": "125304"}, {"ref": "kaichenphys/notebookd1a37dbea1", "kernel_id": "172369"}, {"ref": "vicomedina/notebook1275d8bb6d", "kernel_id": "109621"}, {"ref": "jerrywu0904/notebook9c4cde9929", "kernel_id": "101480"}, {"ref": "jerrywu0904/10-classifier-showdown-in-scikit-learn", "kernel_id": "101567"}, {"ref": "acewhite/10-classifier-showdown-in-scikit-learn", "kernel_id": "169037"}, {"ref": "mareecarroll/notebookfec3c64556", "kernel_id": "94558"}, {"ref": "mareecarroll/10-classifier-showdown-in-scikit-learn", "kernel_id": "94570"}, {"ref": "maggy96/neural-network-through-keras", "kernel_id": "118267"}, {"ref": "jiashenliu/updatedtry-5-different-classifiers-and-questions", "kernel_id": "97239"}, {"ref": "jiashenliu/notebook7406ff7c0e", "kernel_id": "97241"}, {"ref": "yhyu13/10-classifier-showdown-in-scikit-learn-forked", "kernel_id": "125116"}, {"ref": "yhyu13/neural-network-through-keras-64333566", "kernel_id": "108648"}, {"ref": "yhyu13/neural-network-through-keras", "kernel_id": "108206"}, {"ref": "yhyu13/leaf-classification-with-sklearn-mlp-lbfgs", "kernel_id": "108964"}, {"ref": "pierretisseur/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "181812"}, {"ref": "qvajou/logistic-regression", "kernel_id": "146168"}, {"ref": "qvajou/logistic-regression-test", "kernel_id": "146171"}, {"ref": "userad/leaf-script", "kernel_id": "96620"}, {"ref": "userad/notebook6ce096463b", "kernel_id": "96577"}, {"ref": "userad/keras-learn", "kernel_id": "97118"}, {"ref": "userad/keras", "kernel_id": "100896"}, {"ref": "yrowe483/10-classifier-showdown-in-scikit-learn", "kernel_id": "101345"}, {"ref": "yrowe483/10-classifier-showdown-in-scikit-learn-db1d474d", "kernel_id": "108182"}, {"ref": "yrowe483/notebook81a07c02dd", "kernel_id": "108313"}, {"ref": "yrowe483/notebookb3264b61ef", "kernel_id": "107219"}, {"ref": "yrowe483/notebook88541bf6a1", "kernel_id": "107881"}, {"ref": "chermawan/leaf-classification-v1", "kernel_id": "96423"}, {"ref": "rojre1979/10-classifier-showdown-in-scikit-learn-6935da07", "kernel_id": "150826"}, {"ref": "rojre1979/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "176918"}, {"ref": "rojre1979/keras-convnet-lb-0-0052-w-visualization-c0df5e", "kernel_id": "193057"}, {"ref": "rojre1979/simple-keras-1d-cnn-features-split", "kernel_id": "191078"}, {"ref": "rojre1979/keras-convnet-lb-0-0052-w-visualization-1454bd", "kernel_id": "191072"}, {"ref": "rojre1979/10-classifier-showdown-in-scikit-learn", "kernel_id": "122588"}, {"ref": "rojre1979/fork-of-10-classifier-showdown-in-scikit-learn", "kernel_id": "122594"}, {"ref": "nitishraj/classification", "kernel_id": "108568"}, {"ref": "bluesaturn/visualizing-pca-with-leaf-dataset", "kernel_id": "154685"}, {"ref": "sonder/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "152975"}, {"ref": "sonder/feature-extraction-from-images", "kernel_id": "152886"}, {"ref": "sonder/leaf-prediction", "kernel_id": "152436"}, {"ref": "srikanthrice/different-looking-leaves-in-same-class", "kernel_id": "148153"}, {"ref": "pursuingyu/nn-through-keras-copied-mod", "kernel_id": "144653"}, {"ref": "ashtonyqteng/feature-extraction-from-images", "kernel_id": "104603"}, {"ref": "milktse/notebookbd3b190b4c", "kernel_id": "97107"}, {"ref": "milktse/notebookab6be71452", "kernel_id": "97117"}, {"ref": "milktse/notebook3e938237b0", "kernel_id": "97127"}, {"ref": "watermelone/leaf-it-to-me", "kernel_id": "97052"}, {"ref": "watermelone/leaf-classification-predictor", "kernel_id": "99069"}, {"ref": "watermelone/leaf-classifier", "kernel_id": "99073"}, {"ref": "mwa259/nn-keras", "kernel_id": "129071"}, {"ref": "zhxiangxyang/notebookabaf2d2d9f", "kernel_id": "245495"}, {"ref": "zhxiangxyang/notebooka630fc3fcd", "kernel_id": "244683"}, {"ref": "zhxiangxyang/notebook0bdd8bdbc7", "kernel_id": "244686"}, {"ref": "zhxiangxyang/notebooke08bab035f", "kernel_id": "244610"}, {"ref": "zhxiangxyang/notebookd997ed2ac5", "kernel_id": "244607"}, {"ref": "zhxiangxyang/notebookf0007e1581", "kernel_id": "245212"}, {"ref": "gauravjoshi1986/leaf-classification", "kernel_id": "116383"}, {"ref": "gauravjoshi1986/leaf-classification-through-keras", "kernel_id": "131074"}, {"ref": "wwwept/notebooka821b6d1fe", "kernel_id": "255296"}, {"ref": "thapelomola/notebook7b57d695a3", "kernel_id": "162575"}, {"ref": "thapelomola/notebook29df507d16", "kernel_id": "162563"}, {"ref": "eladshtilerman/leaf-classification-simple", "kernel_id": "99830"}, {"ref": "eladshtilerman/simple-random-forest-classifier", "kernel_id": "99957"}, {"ref": "kosmonautas/10-classifier-showdown-in-scikit-learn", "kernel_id": "105041"}, {"ref": "franknet/10-classifier-showdown-in-scikit-learn", "kernel_id": "100181"}, {"ref": "franknet/10-classifier-showdown-in-scikit-learn-ca292cd2", "kernel_id": "101020"}, {"ref": "fabriceyhc/10-classifier-showdown-in-scikit-learn", "kernel_id": "104113"}, {"ref": "nikkou/notebookfaf93cd6d5", "kernel_id": "146649"}, {"ref": "nolanlee/leaf-classifier", "kernel_id": "158320"}, {"ref": "jorcox/neural-network-through-keras", "kernel_id": "171090"}, {"ref": "jorcox/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "171244"}, {"ref": "jorcox/keras-convnet-lb-0-0052-w-visualization-273bd51c", "kernel_id": "171319"}, {"ref": "jorcox/ucode-notebook", "kernel_id": "171339"}, {"ref": "jorcox/ucode-script-2", "kernel_id": "171344"}, {"ref": "funapi/10-classifier-showdown-in-scikit-learn", "kernel_id": "177666"}, {"ref": "alexeyivanov/10-classifier-showdown-in-scikit-learn", "kernel_id": "99752"}, {"ref": "qianlyu/notebook8ff7d8eed8", "kernel_id": "137847"}, {"ref": "altrev/keras-neural-network-grid-searching", "kernel_id": "99215"}, {"ref": "altrev/neural-network-through-keras", "kernel_id": "99209"}, {"ref": "altrev/cnn-only-images", "kernel_id": "101293"}, {"ref": "altrev/keras-grid-search-for-simple-mlp", "kernel_id": "103828"}, {"ref": "akhileshjoshi/ann-keras-dropout-99-6-accuracy", "kernel_id": "590654"}, {"ref": "akhileshjoshi/pca-ann", "kernel_id": "124329"}, {"ref": "hudsonhuang/leaf-script2", "kernel_id": "99664"}, {"ref": "hudsonhuang/leaf-script-rf", "kernel_id": "99798"}, {"ref": "hudsonhuang/neural-network-through-keras-91da370a", "kernel_id": "99800"}, {"ref": "spikyspider/10-classifier-showdown-in-scikit-learn", "kernel_id": "101865"}, {"ref": "shivam1612/leaf-class", "kernel_id": "101735"}, {"ref": "xljxlj/firstly", "kernel_id": "104378"}, {"ref": "jameslong/notebook3118d870fa", "kernel_id": "99942"}, {"ref": "stepanhlushak/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "191563"}, {"ref": "luikna/eda-and-tensorflow-implementation", "kernel_id": "240230"}, {"ref": "luikna/notebook52f16b7876", "kernel_id": "245015"}, {"ref": "woshikangfei/notebook52238e16a7", "kernel_id": "134908"}, {"ref": "bhuvaneshwaran/leaf-classification", "kernel_id": "101578"}, {"ref": "mbcheung/neural-network-through-keras", "kernel_id": "101724"}, {"ref": "greenorange1994/notebook5dd8309de1", "kernel_id": "166517"}, {"ref": "musella/notebook551d9280e8", "kernel_id": "155976"}, {"ref": "chenfenghui/notebook0c4f84acaa", "kernel_id": "174883"}, {"ref": "inspiron221/notebook6354aeb2e3", "kernel_id": "101848"}, {"ref": "shunonoda/testtest", "kernel_id": "101946"}, {"ref": "pasoa94/feature-extraction-from-images-2", "kernel_id": "178335"}, {"ref": "davidhou/simple-attempt-on-leaf-classification", "kernel_id": "162354"}, {"ref": "fangdongxiang/notebook3eb0805a8d", "kernel_id": "109259"}, {"ref": "chrisml/sketch", "kernel_id": "106549"}, {"ref": "chrisml/svm-with-scikit-learn", "kernel_id": "106557"}, {"ref": "chrisml/notebook11811c27fb", "kernel_id": "106499"}, {"ref": "chrisml/nothing-serious", "kernel_id": "106526"}, {"ref": "rajdev/notebookd5323e4e59", "kernel_id": "115260"}, {"ref": "tcrowson/testing", "kernel_id": "104707"}, {"ref": "liamhe/keras-convnet-lb-0-0052-w-visualization-141db3", "kernel_id": "192645"}, {"ref": "liamhe/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "191830"}, {"ref": "richarlee/leaf-classification-richarlee", "kernel_id": "130101"}, {"ref": "richarlee/leaf-classification", "kernel_id": "129370"}, {"ref": "wangzhenxjh/10-classifier-showdown-in-scikit-learn", "kernel_id": "105775"}, {"ref": "zfrysrylmz/visualizing-pca-with-leaf-dataset", "kernel_id": "161816"}, {"ref": "zfrysrylmz/logistic-regression", "kernel_id": "161817"}, {"ref": "zfrysrylmz/10-classifier-showdown-in-scikit-learn", "kernel_id": "161499"}, {"ref": "mikelangel/3-basic-classifiers-and-features-correlation", "kernel_id": "110132"}, {"ref": "plantsgo/notebook628d430f80", "kernel_id": "104731"}, {"ref": "darrenchan/notebook4dd8023157", "kernel_id": "105859"}, {"ref": "vhorvath/notebook17a2c32b54", "kernel_id": "105614"}, {"ref": "duanhb/feature-extraction-from-images", "kernel_id": "141015"}, {"ref": "axecalever/feature-extraction-from-images", "kernel_id": "107137"}, {"ref": "jonnyevans/feature-extraction-from-images-2", "kernel_id": "108362"}, {"ref": "luojiejian/feature-extraction-from-images", "kernel_id": "150518"}, {"ref": "megabhyse/feature-extraction-from-images-1", "kernel_id": "106648"}, {"ref": "rajaguru/visualizing-pca-with-leaf-dataset", "kernel_id": "163127"}, {"ref": "rajaguru/fork-of-visualizing-pca-with-leaf-dataset", "kernel_id": "163379"}, {"ref": "scotttarlow/test1", "kernel_id": "200617"}, {"ref": "wisape/leaf-leaf-done", "kernel_id": "107554"}, {"ref": "leonmax/tryout", "kernel_id": "108593"}, {"ref": "leonmax/10-classifier-showdown-in-scikit-learn-66be0d6a", "kernel_id": "119641"}, {"ref": "leonmax/feature-extraction-from-images-6a41d1d5", "kernel_id": "118149"}, {"ref": "leonmax/feature-extraction-from-images", "kernel_id": "118033"}, {"ref": "jaduol/leafclassification", "kernel_id": "159129"}, {"ref": "jaduol/notebookd53ac88342", "kernel_id": "164440"}, {"ref": "jaduol/visualizing-pca-with-leaf-dataset", "kernel_id": "164490"}, {"ref": "jaduol/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "166171"}, {"ref": "jaduol/10-classifier-showdown-in-scikit-learn", "kernel_id": "166172"}, {"ref": "ttusuresh/neural-network-through-keras", "kernel_id": "121928"}, {"ref": "ttuawohl/feature-correlation", "kernel_id": "112651"}, {"ref": "ttusaman/notebooke86e090acf", "kernel_id": "119447"}, {"ref": "artie88/10-classifier-showdown-in-scikit-learn", "kernel_id": "151397"}, {"ref": "artie88/10-classifier-showdown-in-scikit-learn-b2e53265", "kernel_id": "159678"}, {"ref": "perouz/notebook29e351bd59", "kernel_id": "108148"}, {"ref": "maevalence/notebook96582cb903", "kernel_id": "108152"}, {"ref": "pmdamora/custom-vs-provided-leaf-data", "kernel_id": "119464"}, {"ref": "debabhik/notebook3874ab1810", "kernel_id": "140287"}, {"ref": "nnn211/10-classifier-showdown-in-scikit-learn", "kernel_id": "132686"}, {"ref": "yangxiaocs/feature-extraction-from-images", "kernel_id": "203494"}, {"ref": "davidprakash/nn-kernel", "kernel_id": "196589"}, {"ref": "xiaowang111/keras-convnet-lb-0-0052-w-visualization-90e7c32d", "kernel_id": "161258"}, {"ref": "xiaowang111/fork-of-keras-convnet-lb-0-0052-w-visualization", "kernel_id": "161254"}, {"ref": "xiaowang111/keras-convnet-lb-0-0052-w-visualization-c040fddd", "kernel_id": "161256"}, {"ref": "xiaowang111/nn-through-keras-copied-mod", "kernel_id": "152536"}, {"ref": "xiaowang111/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "153156"}, {"ref": "xiaowang111/keras-convnet-lb-0-0052-w-visualization-685b44", "kernel_id": "184074"}, {"ref": "andriuss/10-classifier-showdown-in-scikit-learn", "kernel_id": "179232"}, {"ref": "pandukovur/notebookc52c2b2898", "kernel_id": "130079"}, {"ref": "chaitu56/classifying-leaf-data-with-nearest-neighbors", "kernel_id": "128915"}, {"ref": "chaitu56/neural-network-through-keras", "kernel_id": "129663"}, {"ref": "davidyanez/test1", "kernel_id": "110477"}, {"ref": "jianxin/notebook2d36a1dc57", "kernel_id": "122702"}, {"ref": "fengliplatform/try-5-different-classifiers-and-questions", "kernel_id": "169419"}, {"ref": "fengliplatform/models-with-logloss", "kernel_id": "171830"}, {"ref": "murgev/10-classifier-showdown-in-scikit-learn", "kernel_id": "144788"}, {"ref": "murgev/neural-network-through-keras", "kernel_id": "144790"}, {"ref": "pb3enguin/3-basic-classifiers-and-features-correlation", "kernel_id": "137419"}, {"ref": "i0riban/feature-extraction-from-images", "kernel_id": "111444"}, {"ref": "sjia723/neural-network-through-keras", "kernel_id": "115592"}, {"ref": "agoncharenko1992/simple-network-with-lasagne", "kernel_id": "121118"}, {"ref": "agoncharenko1992/simple-ensemble-nn-and-logistic-regression", "kernel_id": "120973"}, {"ref": "nkimi2016/mytest", "kernel_id": "144337"}, {"ref": "kanishkapsingh2/notebookb57f3e800d", "kernel_id": "136742"}, {"ref": "hilbertatkaggle/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "158056"}, {"ref": "hilbertatkaggle/visualizing-pca-with-leaf-dataset", "kernel_id": "158057"}, {"ref": "anwenq/10-classifier-showdown-in-scikit-learn", "kernel_id": "132577"}, {"ref": "anwenq/feature-extraction-from-images", "kernel_id": "132574"}, {"ref": "vasanthegde/notebook37ac3625a1", "kernel_id": "119237"}, {"ref": "rickycheng/notebookbda018c3c5", "kernel_id": "114450"}, {"ref": "sabarathinam/3-basic-classifiers-and-features-correlation", "kernel_id": "116880"}, {"ref": "mwransky/notebook03f3a37e8c", "kernel_id": "113872"}, {"ref": "freedomabcd/notebookdffd8fbadf", "kernel_id": "121546"}, {"ref": "minghongzhou/3-basic-classifiers-and-features-correlation", "kernel_id": "119625"}, {"ref": "nicort/notebook2dbdcbd667", "kernel_id": "173022"}, {"ref": "te87037/leaf-classification-using-svm", "kernel_id": "151501"}, {"ref": "te87037/leaf-classification-using-svm-ed127f05", "kernel_id": "151502"}, {"ref": "te87037/leaner", "kernel_id": "162944"}, {"ref": "te87037/notebook2f208646d2", "kernel_id": "272906"}, {"ref": "te87037/notebook9e98450ac4", "kernel_id": "271869"}, {"ref": "zhenhao/atest", "kernel_id": "184217"}, {"ref": "zhenhao/nn-through-keras-copied-mod", "kernel_id": "184242"}, {"ref": "wenjin/visualize-leaf-images", "kernel_id": "124884"}, {"ref": "negation/work-in-progress", "kernel_id": "127868"}, {"ref": "toddgaron/leaf-classification-attempt-0", "kernel_id": "119854"}, {"ref": "andreytapuzov/leaf-classification-dc", "kernel_id": "138330"}, {"ref": "andreytapuzov/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "138392"}, {"ref": "darrellulm/leaf-basic-attempt-fork-and-test", "kernel_id": "229903"}, {"ref": "zhuoliliang/notebookf08355ab1c", "kernel_id": "155108"}, {"ref": "andeliero/notebook2c8ba013d9", "kernel_id": "124799"}, {"ref": "desiredewaele/classifying-leaf-data-with-nearest-neighbors", "kernel_id": "122113"}, {"ref": "pierre54/bag-of-words-model-with-sift-descriptors", "kernel_id": "160641"}, {"ref": "valeryvladimirovich/notebooke9e3b49545", "kernel_id": "122220"}, {"ref": "pogologos/notebook29acc193cf", "kernel_id": "177703"}, {"ref": "aristocatt/10-classifier-showdown-in-scikit-learn", "kernel_id": "155854"}, {"ref": "divyasr/feature-extraction-from-images", "kernel_id": "120654"}, {"ref": "serj1izh/feature-extraction-from-images-2", "kernel_id": "163328"}, {"ref": "snojekba/notebook00c6957f7b", "kernel_id": "121324"}, {"ref": "maciejmarek/notebook8fea8012af", "kernel_id": "129274"}, {"ref": "shaha91/rforest-with-calibration-score-0-07948", "kernel_id": "134267"}, {"ref": "shaha91/10-classifier-showdown-in-scikit-learn-9083449f", "kernel_id": "134233"}, {"ref": "connectwithghosh/notebooka56dfa9c62", "kernel_id": "142123"}, {"ref": "rosfeber/notebookc34452493b", "kernel_id": "122673"}, {"ref": "ngarciasantos/rookie-applies-pca-and-analyses-4-models", "kernel_id": "173454"}, {"ref": "ngarciasantos/notebookca565fded9", "kernel_id": "173438"}, {"ref": "ngarciasantos/notebookc8d62dde3e", "kernel_id": "172802"}, {"ref": "kzlav1/notebookf2445cdd49", "kernel_id": "122703"}, {"ref": "kzlav1/notebook19eee74e49", "kernel_id": "123110"}, {"ref": "abdulmohsen09az/notebook8058a474dc", "kernel_id": "191200"}, {"ref": "dieden/notebook801e732c84", "kernel_id": "183738"}, {"ref": "quark6/leaf-classification", "kernel_id": "148980"}, {"ref": "quark6/leaf-class", "kernel_id": "138771"}, {"ref": "yevgenpukhta/neural-network-through-keras-9793789d", "kernel_id": "150954"}, {"ref": "yevgenpukhta/sketch", "kernel_id": "150955"}, {"ref": "yevgenpukhta/neural-network-through-keras", "kernel_id": "150865"}, {"ref": "yevgenpukhta/rforest-with-calibration-score-0-07948", "kernel_id": "150840"}, {"ref": "yevgenpukhta/notebook6b6e4ff22d", "kernel_id": "150154"}, {"ref": "yevgenpukhta/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "195890"}, {"ref": "zbyte64/skflow-dnn-classifier", "kernel_id": "150264"}, {"ref": "mattocci27/trainset-read-csv-input-train-csv", "kernel_id": "174420"}, {"ref": "mattocci27/notebook849b816805", "kernel_id": "174416"}, {"ref": "xhxr219/notebook28811c448e", "kernel_id": "132202"}, {"ref": "data3group/notebook993f3fb12f", "kernel_id": "128026"}, {"ref": "miyadi/notebook3eddaeb9a4", "kernel_id": "177343"}, {"ref": "miyadi/tensorflow-example", "kernel_id": "177302"}, {"ref": "azzikl/neural-network-through-keras", "kernel_id": "157549"}, {"ref": "gesingle/10-classifier-showdown-in-scikit-learn", "kernel_id": "177586"}, {"ref": "iteglas/first-notebook", "kernel_id": "140708"}, {"ref": "bobsmith2/notebook2fa0590b7e", "kernel_id": "165827"}, {"ref": "bobsmith2/10-classifier-showdown-in-scikit-learn", "kernel_id": "164991"}, {"ref": "shahbazi/notebook1df424851d", "kernel_id": "137412"}, {"ref": "auygur/simple-keras-1d-cnn-features-split", "kernel_id": "154575"}, {"ref": "auygur/nn-through-keras-copied-mod", "kernel_id": "193574"}, {"ref": "kamanli/notebook12e0053d1c", "kernel_id": "135848"}, {"ref": "kamanli/notebookab57e770c8", "kernel_id": "135850"}, {"ref": "kamanli/notebook4b6d1c6e2d", "kernel_id": "135855"}, {"ref": "akindolud/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "154431"}, {"ref": "akindolud/nn-through-keras-copied-mod", "kernel_id": "145449"}, {"ref": "kainaguo/notebook53bcecf24b", "kernel_id": "127845"}, {"ref": "nasiri/notebook935a188bc4", "kernel_id": "135261"}, {"ref": "ecrtk8/notebooka479d19e18", "kernel_id": "130556"}, {"ref": "ecrtk8/leaf-classification", "kernel_id": "131352"}, {"ref": "rraju2/notebooka82344a591", "kernel_id": "219353"}, {"ref": "rraju2/notebook4e1917511a", "kernel_id": "219372"}, {"ref": "rraju2/leaf-classification-example", "kernel_id": "219375"}, {"ref": "murxor/custom-vs-provided-leaf-data", "kernel_id": "157534"}, {"ref": "f2ostie/neural-network-through-keras", "kernel_id": "144582"}, {"ref": "f2ostie/shapelets", "kernel_id": "143105"}, {"ref": "haichenliu/notebook7c71affbe2", "kernel_id": "247932"}, {"ref": "jdpc557/leaf-tf", "kernel_id": "132085"}, {"ref": "jdpc557/notebook5b7a3d3cef", "kernel_id": "132121"}, {"ref": "jdpc557/leaf-knn", "kernel_id": "132123"}, {"ref": "aolejnichenko/notebookddf58efb25", "kernel_id": "143576"}, {"ref": "adiamb/notebookf00ed8c9af", "kernel_id": "161299"}, {"ref": "khosravifard/notebook774665f9f5", "kernel_id": "138902"}, {"ref": "pedroraposo/mimimi", "kernel_id": "160208"}, {"ref": "pedroraposo/notebook320384858d", "kernel_id": "161703"}, {"ref": "pedroraposo/last-one", "kernel_id": "161679"}, {"ref": "delange/3-basic-classifiers-and-features-correlation", "kernel_id": "138439"}, {"ref": "silencerain/10-classifier-showdown-in-scikit-learn", "kernel_id": "168543"}, {"ref": "even311379/leaf-classification-trial", "kernel_id": "136659"}, {"ref": "farewellxd/notebook25f7f175d9", "kernel_id": "136678"}, {"ref": "selmahfo/10-classifier-showdown-in-scikit-learn", "kernel_id": "147769"}, {"ref": "wangqixun/simple-keras-1d-cnn-features-split", "kernel_id": "140271"}, {"ref": "wangqixun/notebook23f23463cc", "kernel_id": "138496"}, {"ref": "fadhli/seeing-neighbors-on-leaf", "kernel_id": "485326"}, {"ref": "peymanml/notebooked0acde552", "kernel_id": "137426"}, {"ref": "peymanml/notebookd93b58859c", "kernel_id": "157088"}, {"ref": "xuxiaoyu/10-classifier-showdown-in-scikit-learn", "kernel_id": "190652"}, {"ref": "saracardoso/notebook3b72582a45", "kernel_id": "139342"}, {"ref": "clevereve/notebook39f1bff85f", "kernel_id": "147459"}, {"ref": "clevereve/3-basic-classifiers-and-features-correlation", "kernel_id": "150742"}, {"ref": "clevereve/ml-classic-pipeline-python-xgboost", "kernel_id": "149819"}, {"ref": "clevereve/notebook3c7c777d4d", "kernel_id": "149823"}, {"ref": "clevereve/notebook632648a794", "kernel_id": "152595"}, {"ref": "hemanth171/leaf-classification-using-keras", "kernel_id": "208652"}, {"ref": "tiagobarbosa/notebooka101feed04", "kernel_id": "141420"}, {"ref": "pkuwjh/sklearn-model-usage-on-leaf-classificaition", "kernel_id": "178924"}, {"ref": "gjwei1993/my-submission", "kernel_id": "184101"}, {"ref": "skyeagle/notebookd9e6080454", "kernel_id": "142533"}, {"ref": "dkr1993/simple-tuned-random-forest-classifier", "kernel_id": "152460"}, {"ref": "teresajurado/first-practice", "kernel_id": "154120"}, {"ref": "louhehe/visualizing-pca-with-leaf-dataset", "kernel_id": "195516"}, {"ref": "james90/notebook72fb7247c3", "kernel_id": "155471"}, {"ref": "majidmortazavi/keras-convnet-lb-0-0052-w-visualization-52107b23", "kernel_id": "176515"}, {"ref": "majidmortazavi/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "176064"}, {"ref": "majidmortazavi/neural-network-through-keras", "kernel_id": "196012"}, {"ref": "newriverchan/keras-convnet-lb-0-0052-w-visualization-d48023", "kernel_id": "194841"}, {"ref": "newriverchan/mark-keras-convnet-lb-0-0052-w-visualization", "kernel_id": "185124"}, {"ref": "qilishia/notebookf93493a04a", "kernel_id": "154641"}, {"ref": "qilishia/notebook9dd0adb308", "kernel_id": "153165"}, {"ref": "qilishia/notebook4dfffe3331", "kernel_id": "153166"}, {"ref": "johanvermeire/notebookd56de86c46", "kernel_id": "149868"}, {"ref": "liujianying/notebook9feadc9b3e", "kernel_id": "156521"}, {"ref": "tainguyen/feature-extraction-from-images", "kernel_id": "148674"}, {"ref": "tainguyen/nn-through-keras-copied-mod", "kernel_id": "148675"}, {"ref": "gdhsjwj/notebook1cbc51da06", "kernel_id": "157127"}, {"ref": "thisray/10-classifier-showdown-in-scikit-learn", "kernel_id": "158873"}, {"ref": "mathieugaron/simple-keras-1d-cnn-features-split-f9c16fda", "kernel_id": "164569"}, {"ref": "mathieugaron/simple-keras-1d-cnn-features-vizualisation", "kernel_id": "164625"}, {"ref": "mathieugaron/simple-keras-1d-cnn-features-split-1232e3d8", "kernel_id": "164421"}, {"ref": "mathieugaron/simple-keras-1d-cnn-features-split", "kernel_id": "164395"}, {"ref": "honeybird/leaf-classification-study-cw", "kernel_id": "169725"}, {"ref": "honeybird/feature-extraction-from-images", "kernel_id": "169731"}, {"ref": "pappumoni/notebook3dcd7842b8", "kernel_id": "151336"}, {"ref": "pappumoni/notebook40aef93204", "kernel_id": "151338"}, {"ref": "pappumoni/notebookdf5e3d8a27", "kernel_id": "151349"}, {"ref": "mangogao/10-classifier-showdown-in-scikit-learn", "kernel_id": "171820"}, {"ref": "ecnuykh/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "166930"}, {"ref": "kushalmiglani01/10-classifier-showdown-in-scikit-learn", "kernel_id": "151702"}, {"ref": "virzy7/feature-extraction-from-images", "kernel_id": "152194"}, {"ref": "virzy7/feature-extraction-from-images-6febf474", "kernel_id": "152197"}, {"ref": "virzy7/visualizing-pca-with-leaf-dataset", "kernel_id": "154684"}, {"ref": "nielsonsoares/notebook5f877ce039", "kernel_id": "174277"}, {"ref": "notom234/notebookf90213fa74", "kernel_id": "152360"}, {"ref": "berserkr/leaf-classification", "kernel_id": "152235"}, {"ref": "pk2011/compare-multiple-classification-models-with-caret", "kernel_id": "158203"}, {"ref": "logits/leaf-playground", "kernel_id": "152914"}, {"ref": "logits/notebook86b73c83f6", "kernel_id": "152919"}, {"ref": "sergiupopa/glm-classification", "kernel_id": "171659"}, {"ref": "dexter01/10-classifier-showdown-in-scikit-learn-556963", "kernel_id": "187880"}, {"ref": "dexter01/10-classifier-showdown-in-scikit-learn", "kernel_id": "187846"}, {"ref": "naivecharles/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "165164"}, {"ref": "joanamartins/notebookb239b49ec3", "kernel_id": "154819"}, {"ref": "joanamartins/nn-through-keras-copied", "kernel_id": "161123"}, {"ref": "ashideldar/feature-extraction-from-images", "kernel_id": "185864"}, {"ref": "jkulak/categorise-leaves-by-shape", "kernel_id": "155564"}, {"ref": "fizik2/notebookdc77e43480", "kernel_id": "155810"}, {"ref": "fizik2/notebookfe2aaa20d2", "kernel_id": "155756"}, {"ref": "mgaringo/possible-complementary-image-feature", "kernel_id": "157579"}, {"ref": "mgaringo/notebook49586ae705", "kernel_id": "157671"}, {"ref": "mgaringo/leaf-network-feature", "kernel_id": "159455"}, {"ref": "mgaringo/10-classifier-showdown-in-scikit-learn", "kernel_id": "161992"}, {"ref": "mgaringo/notebook14341f2bb8", "kernel_id": "155842"}, {"ref": "fernandocruz/test-nando", "kernel_id": "155757"}, {"ref": "fernandocruz/notebookf7848fa81e", "kernel_id": "155755"}, {"ref": "fernandocruz/first-test", "kernel_id": "155784"}, {"ref": "fernandocruz/test-2", "kernel_id": "156817"}, {"ref": "fernandocruz/svm-final-final", "kernel_id": "160197"}, {"ref": "fernandocruz/svm-f", "kernel_id": "160239"}, {"ref": "fernandocruz/test-svmm", "kernel_id": "159532"}, {"ref": "fernandocruz/test-reps-probs", "kernel_id": "158238"}, {"ref": "fernandocruz/testetststs", "kernel_id": "158540"}, {"ref": "fernandocruz/neural-networks", "kernel_id": "158387"}, {"ref": "dylanrutter/feature-extraction-from-images", "kernel_id": "165198"}, {"ref": "dysonlin/10-classifier-showdown-in-scikit-learn", "kernel_id": "171225"}, {"ref": "fwlpku/notebookd5a4a06923", "kernel_id": "159134"}, {"ref": "andreiacscampos/notebook75b6783574", "kernel_id": "157448"}, {"ref": "danielani/lalalalala", "kernel_id": "158608"}, {"ref": "danielani/ninini", "kernel_id": "157831"}, {"ref": "danielani/mimimi", "kernel_id": "157833"}, {"ref": "danielani/lilalila", "kernel_id": "159652"}, {"ref": "danielani/newone", "kernel_id": "159629"}, {"ref": "danielani/jjjjjjjjj", "kernel_id": "160375"}, {"ref": "mundra/simple-keras-1d-cnn-features-split", "kernel_id": "158291"}, {"ref": "mundra/possible-complementary-image-feature", "kernel_id": "158295"}, {"ref": "mundra/feature-extraction-from-images-2", "kernel_id": "158282"}, {"ref": "pengcheng4451/10-classifier-showdown-in-scikit-learn", "kernel_id": "174757"}, {"ref": "pengcheng4451/visualizing-pca-with-leaf-dataset", "kernel_id": "175513"}, {"ref": "dvirfalik/notebook6d26d889c4", "kernel_id": "162729"}, {"ref": "dvirfalik/visualizing-pca-with-leaf-dataset-e08bb283", "kernel_id": "162730"}, {"ref": "dvirfalik/visualizing-pca-with-leaf-dataset", "kernel_id": "161921"}, {"ref": "blckgamer/third-attempt", "kernel_id": "160328"}, {"ref": "blckgamer/fourth-attempt", "kernel_id": "160334"}, {"ref": "blckgamer/first-attempt", "kernel_id": "160322"}, {"ref": "baconx2/fritabatata", "kernel_id": "159357"}, {"ref": "raseique/trouble", "kernel_id": "161990"}, {"ref": "shubhamnagaria/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "195616"}, {"ref": "vikrantthakur14/leaf-class-pca-ensemble", "kernel_id": "196809"}, {"ref": "octaexon/notebookbe93466a62", "kernel_id": "161836"}, {"ref": "invariant47/notebook9ad99c3797", "kernel_id": "163130"}, {"ref": "rohitmohan96/leafs", "kernel_id": "176619"}, {"ref": "jeeyung/notebook15292d7770", "kernel_id": "166841"}, {"ref": "gazpachoverde/test5", "kernel_id": "165921"}, {"ref": "mitchfrump/notebook2108b65b29", "kernel_id": "165411"}, {"ref": "mitchfrump/leaf-classification", "kernel_id": "165414"}, {"ref": "hugorgsilva/leaf-or-leave", "kernel_id": "176216"}, {"ref": "johnlovelove/nn-through-keras-copied-mod-shuffle", "kernel_id": "195189"}, {"ref": "xd1234/notebook4a64284a7c", "kernel_id": "178597"}, {"ref": "xd1234/logistic-regression", "kernel_id": "178598"}, {"ref": "xd1234/10-classifier-showdown-in-scikit-learn", "kernel_id": "177899"}, {"ref": "yannickqi/10-classifier-showdown-in-scikit-learn-dea16a89", "kernel_id": "170700"}, {"ref": "yannickqi/10-classifier-showdown-in-scikit-learn", "kernel_id": "169018"}, {"ref": "ananyamukh/notebookbb0ddad9dc", "kernel_id": "170952"}, {"ref": "lehisx/a-simple-method", "kernel_id": "203790"}, {"ref": "alutrin/notebook70d51778d8", "kernel_id": "192847"}, {"ref": "alutrin/simple-cnn-leaves-with-features-plugged-in-later", "kernel_id": "193016"}, {"ref": "alutrin/simple-keras-1d-cnn-features-split", "kernel_id": "192973"}, {"ref": "falcand/etude-r", "kernel_id": "180861"}, {"ref": "prassinoux/feature-extraction-from-images", "kernel_id": "170743"}, {"ref": "philipxue/fork-of-leaf-classification-using-cnn", "kernel_id": "196677"}, {"ref": "philipxue/leaf-classification-using-cnn", "kernel_id": "196651"}, {"ref": "philipxue/fork-of-leaf-classification-using-cnn-354ed9", "kernel_id": "196680"}, {"ref": "bcwang95/visualizing-pca-with-leaf-dataset", "kernel_id": "174033"}, {"ref": "jelly08/visualizing-pca-with-leaf-dataset-5893d9", "kernel_id": "186960"}, {"ref": "jelly08/visualizing-pca-with-leaf-dataset", "kernel_id": "185408"}, {"ref": "forsure/notebook07a5689bd8", "kernel_id": "175596"}, {"ref": "alvysinger/10-classifier-showdown-in-scikit-learn", "kernel_id": "188550"}, {"ref": "k900733/notebookba1c438e74", "kernel_id": "248742"}, {"ref": "hooseygoose/directory-structure-and-moving-files", "kernel_id": "365635"}, {"ref": "brendanlafferty/notebook55b035ff84", "kernel_id": "185890"}, {"ref": "wheeler8/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "188036"}, {"ref": "hadrienhamel/test123", "kernel_id": "181327"}, {"ref": "udaysa/notebook9c51422f6f", "kernel_id": "181548"}, {"ref": "udaysa/test123", "kernel_id": "181710"}, {"ref": "udaysa/notebookf47d172fd4", "kernel_id": "181708"}, {"ref": "udaysa/separate-network-for-margin-shape-texture", "kernel_id": "182031"}, {"ref": "udaysa/10-classifier-showdown-in-scikit-learn", "kernel_id": "182545"}, {"ref": "udaysa/svm-with-scikit-learn-svm-with-parameter-tuning", "kernel_id": "182542"}, {"ref": "arneoi/notebook9d4af1caa0", "kernel_id": "187224"}, {"ref": "sarahcaso/notebook0463f9d7a9", "kernel_id": "183209"}, {"ref": "hailam/leaf-classification", "kernel_id": "192653"}, {"ref": "hrxufly/10-classifier-showdown-in-scikit-learn", "kernel_id": "193998"}, {"ref": "ningyuma/3-basic-classifiers-and-features-correlation", "kernel_id": "191449"}, {"ref": "ningyuma/10-classifier-showdown-in-scikit-learn-c2ea3c", "kernel_id": "191111"}, {"ref": "ningyuma/10-classifier-showdown-in-scikit-learn", "kernel_id": "191109"}, {"ref": "huihuangchh/leaf-classification-py", "kernel_id": "184516"}, {"ref": "huihuangchh/neural-network-through-keras", "kernel_id": "185828"}, {"ref": "huihuangchh/notebooka58a7412b3", "kernel_id": "186795"}, {"ref": "guerrapin/notebookd41500310d", "kernel_id": "194923"}, {"ref": "pyobro/leaf-classification-deepbro", "kernel_id": "220124"}, {"ref": "thomasbriner/notebook52480455c3", "kernel_id": "205311"}, {"ref": "karthirajasekaran/notebooke26e58968a", "kernel_id": "204212"}, {"ref": "apurve/leaf-notebook", "kernel_id": "194746"}, {"ref": "apurve/fork-of-leaf-notebook", "kernel_id": "195262"}, {"ref": "apurve/fork-of-leaf-notebook-430890", "kernel_id": "195270"}, {"ref": "apurve/lineardiscriminantanalysis", "kernel_id": "195274"}, {"ref": "jimmytran/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "192773"}, {"ref": "plarmuseau/an-svd-on-train-csv-versus-test-csv", "kernel_id": "195972"}, {"ref": "plarmuseau/a-svd-take-on-the-leaf-s", "kernel_id": "196834"}, {"ref": "plarmuseau/fork-of-a-svd-take-on-the-leaf-s-fc8e55", "kernel_id": "197417"}, {"ref": "sagar123/leaf-with-neural-nets", "kernel_id": "732460"}, {"ref": "zahaviguy/10-classifier-showdown-in-scikit-learn-copy", "kernel_id": "252350"}, {"ref": "ranakj/rana-s-awesome-leaf-classification", "kernel_id": "256471"}, {"ref": "czfshine/10-classifier-showdown-in-scikit-learn", "kernel_id": "279452"}, {"ref": "rong1027/leaf-r", "kernel_id": "254678"}, {"ref": "cgomes/notebookc6941a0163", "kernel_id": "239283"}, {"ref": "anamika1292/notebookdd8ddb92b6", "kernel_id": "212322"}, {"ref": "ziscor/notebook8d8070ca91", "kernel_id": "221938"}, {"ref": "liuteng/notebookef32d8ff55", "kernel_id": "216782"}, {"ref": "hankpeng03/notebookba0d1a3a5b", "kernel_id": "231334"}, {"ref": "hankpeng03/lc-001", "kernel_id": "231353"}, {"ref": "mzr2017/notebookafae950bf2", "kernel_id": "233761"}, {"ref": "weiyang7545/visualizing-pca-with-leaf-dataset", "kernel_id": "231322"}, {"ref": "linj5411/notebook65260e4284", "kernel_id": "228542"}, {"ref": "r2dliu/notebookefa799a453", "kernel_id": "243306"}, {"ref": "tpbuffer/10-classifier-showdown-in-scikit-learn", "kernel_id": "278301"}, {"ref": "vradore/classification-with-extracted-features", "kernel_id": "320349"}, {"ref": "asiegel1/notebookc68c07ecb1", "kernel_id": "255644"}, {"ref": "asiegel1/notebooked0b5084c2", "kernel_id": "255803"}, {"ref": "mabreyaz/10-classifier-showdown-in-scikit-learn-forked", "kernel_id": "344489"}, {"ref": "evilgod/notebookc2fe02cefd", "kernel_id": "280089"}, {"ref": "adithyakag/scikitlearn-mlp", "kernel_id": "387502"}, {"ref": "ravikrishnareddy/leaf-classification", "kernel_id": "760606"}, {"ref": "warisqr007/10-classifier-showdown-in-scikit-learn", "kernel_id": "648342"}, {"ref": "chengasiajaicy/detect-leaves", "kernel_id": "384090"}, {"ref": "jairomateo/test-for", "kernel_id": "478313"}, {"ref": "tohfarabab/leaf-classification-using-multilayer-perceptron", "kernel_id": "445810"}, {"ref": "guruprasathvicky/fork-of-high-accuracy-model", "kernel_id": "587347"}, {"ref": "sofiahidayah/notebook7d06b0c1a8", "kernel_id": "493781"}, {"ref": "mark13juna/keras-model", "kernel_id": "581682"}, {"ref": "guywhowantstolearnml/leaf-classification", "kernel_id": "538476"}, {"ref": "mountainguest/pca-tsne-visu-kneighbors-randomforest", "kernel_id": "758488"}, {"ref": "fleanend/leaf-clustering-and-classification", "kernel_id": "942547"}, {"ref": "peeyushsahu/classification-of-leaf", "kernel_id": "805328"}, {"ref": "sharique001/leafclassificationproject", "kernel_id": "925600"}, {"ref": "ywleung/simple-nn-model-with-high-accuracy", "kernel_id": "1779830"}, {"ref": "biswa156/leaf-classification", "kernel_id": "1873656"}, {"ref": "yukunpeng/10-classifier-showdown-in-scikit-learn", "kernel_id": "1120556"}, {"ref": "krasnovna/getting-leaf-contour", "kernel_id": "1277591"}, {"ref": "carloskl12/model-with-sift-descriptors", "kernel_id": "1569149"}, {"ref": "pragya29/leaf-classification", "kernel_id": "1491234"}, {"ref": "mingming1121/leaf-classification-code", "kernel_id": "1132544"}, {"ref": "zhoulingyan0228/lda-nn-on-leaf-classification", "kernel_id": "1244380"}, {"ref": "ai2prx/leaf-classification", "kernel_id": "1855708"}, {"ref": "bqueguin/impact-of-hyperparameters-on-svm-classifier", "kernel_id": "2177117"}, {"ref": "ismael12/extraction-of-image-features", "kernel_id": "2712198"}, {"ref": "dhiru29/leaf-classification", "kernel_id": "2192961"}, {"ref": "princetyagi193/leaf-classification", "kernel_id": "2507978"}, {"ref": "somaktukai/model-selection-98-accuracy", "kernel_id": "2007205"}, {"ref": "rejae8y/leaf-classification-use-svm-gridsearch", "kernel_id": "3329800"}, {"ref": "jerrypan001/kernelc607afd0d6", "kernel_id": "3604880"}, {"ref": "venkatarathnam/leaf-classification-custom-features", "kernel_id": "4998731"}, {"ref": "venkatarathnam/leaf-classification", "kernel_id": "4988607"}, {"ref": "googlemkunthe/varying-learning-rate-with-each-iteration", "kernel_id": "4669989"}, {"ref": "gokalpumur/dataset-vs-imagefolder", "kernel_id": "4327690"}, {"ref": "travelpark/leaf-classify", "kernel_id": "4936259"}, {"ref": "imranmik/leaf-classification", "kernel_id": "4310341"}, {"ref": "ahkhalwai55/classifier-showdown", "kernel_id": "5021099"}, {"ref": "thanhtra/leaf-classification-randomforest-svc-kneighbor", "kernel_id": "5943728"}, {"ref": "zhudongxiao/cnn-for-classifier", "kernel_id": "5094245"}, {"ref": "zhudongxiao/cnn-w-o-image-data", "kernel_id": "5095755"}, {"ref": "samratashok/quick-leaf-classification-weights-visualizaion", "kernel_id": "6889001"}, {"ref": "saeedtqp/leaf-classification", "kernel_id": "6641449"}, {"ref": "zhiminsunsun/leaf-classification", "kernel_id": "6683620"}, {"ref": "radeweg4264/leaf-classification-automl", "kernel_id": "6961294"}, {"ref": "ronnymaurhofer/leaf-classification-neural-network-model", "kernel_id": "7885002"}, {"ref": "vydyam/leaf-classification-basic", "kernel_id": "7467532"}, {"ref": "jsxyhelu2019/leaf-classification-using-alexnet", "kernel_id": "8250374"}, {"ref": "gaganks/kernela70e63951a", "kernel_id": "8344177"}, {"ref": "naimur978/leaf-classification-based-on-neural-network", "kernel_id": "9851842"}, {"ref": "aqifilyaskhan/leaf-cls-95-acc-on-test-csv", "kernel_id": "10866293"}, {"ref": "pratikpatil13/leaf-classification-n-n-and-m-l-95-95-accuracy", "kernel_id": "10725232"}, {"ref": "vchauhanusf/97-48-test-accuracy-leaf-image-classification", "kernel_id": "10710175"}, {"ref": "ahmedalghaliz/leaf-classification", "kernel_id": "10902632"}, {"ref": "fathialasali/leaf-classification-comp", "kernel_id": "10918128"}, {"ref": "ayushirastogi15/leaf-classification", "kernel_id": "10866959"}, {"ref": "fatimaafifi/leaf-classification", "kernel_id": "10787832"}, {"ref": "fatimaafifi/leaf-classification-keras", "kernel_id": "10750155"}, {"ref": "doaajaber/kernel14595066b0", "kernel_id": "10694899"}, {"ref": "doaajaber/leaf-classification", "kernel_id": "10679030"}, {"ref": "doaajaber/leaf-classification-cnn", "kernel_id": "10979111"}, {"ref": "doaajaber/simple-keras-1d-cnn-features-split", "kernel_id": "10993597"}, {"ref": "doaajaber/leaf-classification-cnnn", "kernel_id": "10993625"}, {"ref": "fayrouzfarra/leaf-classification-xgboost-gridsearch", "kernel_id": "10772033"}, {"ref": "fayrouzfarra/leaf-classification-ranodmforest-gridsearch", "kernel_id": "10783247"}, {"ref": "nahedalsharif/leaf-classification-ml-classic-classification-xgb", "kernel_id": "10701245"}, {"ref": "razanabudagen/leaf-classification-with-randomforest1", "kernel_id": "10935595"}, {"ref": "asiaahmedabushawish/leaf-classification", "kernel_id": "10752278"}, {"ref": "abdalazez/leaf-classification", "kernel_id": "10889834"}, {"ref": "abdalazez/final-leaf-classification", "kernel_id": "10890388"}, {"ref": "mahmoudalhallaq/leaf-mahmoud", "kernel_id": "10908340"}, {"ref": "islammohaisen/leaf-classification-lda", "kernel_id": "10756965"}, {"ref": "islammohaisen/leaf-classification-rfc", "kernel_id": "10909005"}, {"ref": "mohgsam/leaf-classification", "kernel_id": "10909365"}, {"ref": "ahmedmurad1990/nn-kernel", "kernel_id": "10864896"}, {"ref": "maimahdi/xgboostleafclass", "kernel_id": "10804240"}, {"ref": "maimahdi/leafclassification", "kernel_id": "10765260"}, {"ref": "israakhalil/fork-of-leaf-classification-v3", "kernel_id": "11101888"}, {"ref": "satyathota/ml-final-project", "kernel_id": "11001918"}, {"ref": "mikhailg0/leaf-classification-solution", "kernel_id": "11213660"}, {"ref": "nihalhaboush/leaf-classification-adv-reg-gsearchcv-xgb", "kernel_id": "11050495"}, {"ref": "mohammedkuheil/leaf-classification-xgboos", "kernel_id": "11198508"}, {"ref": "rahulpawade/solving-leaf-classification-problem-by-xgboost", "kernel_id": "11268356"}, {"ref": "ameyachawla99/leafrecognition-ameyachawl", "kernel_id": "11964531"}, {"ref": "dskagglemt/2-leaf-classification-working-on-images", "kernel_id": "12216222"}, {"ref": "dskagglemt/1-leaf-classification-understanding-dataset", "kernel_id": "12178539"}, {"ref": "dantcacenco/bag-of-words-model-with-sift-descriptors", "kernel_id": "12794448"}, {"ref": "sevcandogramaci/machine-learning-project-leaf-classification", "kernel_id": "14475410"}, {"ref": "abolfazlasghari/notebook87cd6ae526", "kernel_id": "14227492"}, {"ref": "wensycheung/simple-keras-1d-cnn-features-split", "kernel_id": "15911697"}, {"ref": "yasserhessein/leaf-classification-best-score-98-49", "kernel_id": "16682473"}, {"ref": "mjawadkhan/keras-convnet-lb-0-0052-w-visualization", "kernel_id": "16594111"}, {"ref": "garbamoussa/featureextraction-image", "kernel_id": "17666540"}, {"ref": "maniking0/leaf-classification", "kernel_id": "18889682"}, {"ref": "dhinakarswamy/leaf-classifications", "kernel_id": "18787179"}, {"ref": "shubhiijain/leaf-classification", "kernel_id": "18892748"}, {"ref": "tarunnagavinaysai/leaf-classification", "kernel_id": "18841125"}, {"ref": "nirmalvignu/leaf-classification", "kernel_id": "18778142"}, {"ref": "hemamounika/leaf-classification", "kernel_id": "18840334"}, {"ref": "keerthi182e5/leaf-classification", "kernel_id": "18807118"}, {"ref": "moruharika/leaf-classification", "kernel_id": "18823982"}, {"ref": "sravanirayapati/leaf-classfication", "kernel_id": "18872918"}, {"ref": "bhavithadurgap/leaf-classification", "kernel_id": "18873678"}, {"ref": "shubhamsalokhe/leaf-classification", "kernel_id": "20981618"}, {"ref": "kmanojreddy/notebook4739e961a3", "kernel_id": "20766542"}, {"ref": "gauravbhogale/assignment-9", "kernel_id": "20690379"}, {"ref": "poojakumari2329/notebookf98da26ef9", "kernel_id": "20746973"}, {"ref": "cbkali/leaf-classification", "kernel_id": "20770821"}, {"ref": "kruphacm/mlt-assignment", "kernel_id": "21449491"}, {"ref": "sajutr/testing-on-99-species-b-w-leaves", "kernel_id": "21592433"}, {"ref": "snikhil17/leaf-classification", "kernel_id": "21589999"}, {"ref": "mrinmoymdutta/leaf-classification-ultimate-beginner-kn-and-lr", "kernel_id": "21718077"}, {"ref": "maneesharava/a9-leaf-classification", "kernel_id": "21786270"}, {"ref": "arunkumar13111/leafclassification", "kernel_id": "22690102"}, {"ref": "sahilsunda/model-1", "kernel_id": "22737959"}, {"ref": "sahilsunda/model-2", "kernel_id": "22739896"}, {"ref": "novinict1/notebook-1", "kernel_id": "23942036"}, {"ref": "fatemehsharifi79/mlp-pytorch", "kernel_id": "24127158"}, {"ref": "graphlab/fastdup-kmeans", "kernel_id": "30544466"}, {"ref": "jiaowoguanren/leaf-classification-tf-resmlp", "kernel_id": "30643525"}, {"ref": "ahmedkhalifa1999/deep-learning-leaf-classification", "kernel_id": "33171644"}, {"ref": "abdomostafa/notebook5326aa02c3", "kernel_id": "33239763"}, {"ref": "nainapandey96/leaf-classification", "kernel_id": "33392649"}, {"ref": "markgeorgek/leaf-classification-1layer", "kernel_id": "33205992"}, {"ref": "skzengros/mlp-pytorch", "kernel_id": "34140646"}, {"ref": "nawinrajkumars/dense-leaf-classification-97-accuracy", "kernel_id": "36841048"}, {"ref": "venkatasuraj/plant-leaf-classification", "kernel_id": "37693678"}, {"ref": "shaikchinamoulali/leaf-classficatin-using-cnn", "kernel_id": "37618037"}, {"ref": "srilaasyakandukuri/leaf-classification", "kernel_id": "38889228"}, {"ref": "yousefelbaz/leaf-classi-last-version", "kernel_id": "38209351"}, {"ref": "maddalasravani/leaf-classification", "kernel_id": "39175209"}, {"ref": "mostafaghanem96/leaf-classification-model", "kernel_id": "39370030"}, {"ref": "zocainviken/tp-leaf-classification", "kernel_id": "41511710"}, {"ref": "div1996p/multiclass-classification-with-deep-neural-network", "kernel_id": "42855370"}, {"ref": "sowmyasamantula/leaf-classification", "kernel_id": "42869980"}, {"ref": "thanniruvyshnavi/tp-leaf-classification", "kernel_id": "42869080"}, {"ref": "pr0skilled/leaf-classficatin-using-cnn", "kernel_id": "47602036"}, {"ref": "omidtavasoli/3-simple-neural-network", "kernel_id": "48950149"}, {"ref": "youssefgeorge7/leaf-classification-using-extracted-features", "kernel_id": "50225390"}, {"ref": "youssefgeorge7/leaf-classification-using-cnn", "kernel_id": "50226356"}, {"ref": "riteshrk/leaf-classification-cnn", "kernel_id": "51788615"}, {"ref": "raschidjfrafaelly/maple-leaf-classifier", "kernel_id": "53305912"}, {"ref": "nagwaahmed/leaf-classification-competition-96-score-0-69", "kernel_id": "53358905"}, {"ref": "rafarodrigues33/leaf-classification-v1", "kernel_id": "56833576"}, {"ref": "sebastinazamaravils/leaf-classification", "kernel_id": "56278530"}, {"ref": "samtim/leave", "kernel_id": "66633419"}, {"ref": "melikechan/leaf-classification-cnn-mlp-pytorch-0-26-score", "kernel_id": "67250719"}, {"ref": "khairulumamsyaliman/feature-extraction-from-images", "kernel_id": "68814481"}, {"ref": "jesikamentari/feature-extraction-from-images", "kernel_id": "68815986"}, {"ref": "hossamhamdyabdalla/10-classifier-showdown-in-scikit-learn", "kernel_id": "69737250"}, {"ref": "bilgingunes/leaf-classification", "kernel_id": "82127800"}, {"ref": "mosaicstat/notebook18a5124753", "kernel_id": "90471334"}, {"ref": "jatin2055/leaf-classification-evaluation", "kernel_id": "92556714"}, {"ref": "quangnguynv/leaf-classification-cnn", "kernel_id": "95954198"}, {"ref": "yangmlweb/leaf-classification-competition-96-score-0-69", "kernel_id": "98832064"}, {"ref": "semihik/comp468final", "kernel_id": "120722458"}, {"ref": "kureeltanishq/leaf-classification", "kernel_id": "131124185"}]}
{"competition_id": "5428", "kernels": []}
{"competition_id": "5441", "kernels": [{"ref": "navneeth/catdognet-keras-convnet-starter", "kernel_id": "183365"}, {"ref": "wcukierski/where-my-dogs-at", "kernel_id": "93692"}, {"ref": "jgskaggle/notebooka076825922", "kernel_id": "152227"}, {"ref": "freerrrrrr/catdognet-keras-convnet-starter", "kernel_id": "185598"}, {"ref": "freerrrrrr/tensorflow-starter-kit-fixed", "kernel_id": "185604"}, {"ref": "freerrrrrr/catdognet-keras-convnet-starter-a978d7", "kernel_id": "185613"}, {"ref": "freerrrrrr/data-streaming-for-convoluted-neural-net", "kernel_id": "185619"}, {"ref": "freerrrrrr/notebookcfee2ba983", "kernel_id": "185680"}, {"ref": "freerrrrrr/notebookd5f03038df", "kernel_id": "185734"}, {"ref": "freerrrrrr/catdognet-keras-convnet-starter-461b86", "kernel_id": "185735"}, {"ref": "freerrrrrr/fork-of-catdognet-keras-convnet-starter", "kernel_id": "192085"}, {"ref": "freerrrrrr/tensorflow-starter-kit-fixed-7b76e2", "kernel_id": "192090"}, {"ref": "freerrrrrr/catdognet-keras-convnet-starter-e197e2", "kernel_id": "192094"}, {"ref": "freerrrrrr/tensorflow-starter-kit-fixed-22fdc3", "kernel_id": "192104"}, {"ref": "freerrrrrr/tensorflow-starter-kit", "kernel_id": "192106"}, {"ref": "freerrrrrr/solution-dogs-vs-cats-svm-model-model-2", "kernel_id": "192228"}, {"ref": "odisseas/notebook5467c07930", "kernel_id": "109142"}, {"ref": "zaq1xsw2tktk/tensorflow-starter-kit-fixed", "kernel_id": "191725"}, {"ref": "liushusen/notebook6c8c2fde06", "kernel_id": "172245"}, {"ref": "liushusen/notebook022c318cde", "kernel_id": "172179"}, {"ref": "siddharthshrotriya/notebook0f64fb043b", "kernel_id": "166329"}, {"ref": "siddharthshrotriya/tflearn", "kernel_id": "166332"}, {"ref": "chulakar/notebook231e9c8a45", "kernel_id": "99555"}, {"ref": "rirakkuma/catdognet-keras-convnet-starter", "kernel_id": "171234"}, {"ref": "rirakkuma/notebook7c85965f76", "kernel_id": "171231"}, {"ref": "mr8kin/catdognet-keras-convnet-starter", "kernel_id": "98138"}, {"ref": "mr8kin/mark-education-learning-from-others", "kernel_id": "191385"}, {"ref": "anuzis/notebook9598da53ff", "kernel_id": "108499"}, {"ref": "ruxizhang/cat-dog-prediction", "kernel_id": "108196"}, {"ref": "kirkbroadhurst/catdognet-keras-convnet-starter", "kernel_id": "156492"}, {"ref": "aomari/catdognet-keras-convnet-starter", "kernel_id": "121255"}, {"ref": "karanuppal/notebook695c0f5063", "kernel_id": "241809"}, {"ref": "seanv507/catdognet-keras-convnet-starter", "kernel_id": "180506"}, {"ref": "parvind/notebooke9be76cf6e", "kernel_id": "160088"}, {"ref": "yuningalexliu/notebook5cea670c1c", "kernel_id": "210260"}, {"ref": "gonzmg88/catdognet-keras-convnet-starter", "kernel_id": "102582"}, {"ref": "filmar/notebook0582c103e8", "kernel_id": "229656"}, {"ref": "barryscott/catdognet-keras-convnet-starter", "kernel_id": "121807"}, {"ref": "uday1889/catdognet-keras-convnet-starter", "kernel_id": "104857"}, {"ref": "andrep/notebook1815d33782", "kernel_id": "122606"}, {"ref": "shaochuanwang/keras-warm-up-cats-vs-dogs-cnn-with-vgg16", "kernel_id": "917349"}, {"ref": "kbhits/notebook70c220d61f", "kernel_id": "169066"}, {"ref": "kbhits/tensorflow-starter-kit-fixed", "kernel_id": "169757"}, {"ref": "micheleusuelli/catdognet-keras-convnet-starter-9a07f9fc", "kernel_id": "160914"}, {"ref": "micheleusuelli/catdognet-keras-convnet-starter", "kernel_id": "160169"}, {"ref": "micheleusuelli/catdognet-keras-convnet-starter-c105f6f1", "kernel_id": "175928"}, {"ref": "stevenhurwitt/cats-vs-dogs-using-a-keras-convnet", "kernel_id": "397710"}, {"ref": "donghyun/catdognet-keras-convnet-starter", "kernel_id": "100202"}, {"ref": "argoneus/notebook07a0bc846a", "kernel_id": "165052"}, {"ref": "santoshgsk/notebook2867f5ad14", "kernel_id": "160739"}, {"ref": "jannesklaas/14-building-an-image-classifier", "kernel_id": "657328"}, {"ref": "jannesklaas/14-2-building-using-pre-trained-models", "kernel_id": "669588"}, {"ref": "alexdlikman/notebooka9a5ece028", "kernel_id": "97690"}, {"ref": "alexdlikman/notebook507fb004f9", "kernel_id": "277516"}, {"ref": "eugenecamus/notebook602e479cff", "kernel_id": "119645"}, {"ref": "caizhiwei/catdognet-keras-convnet-starter", "kernel_id": "146514"}, {"ref": "tomfgato/notebook5e831044e4", "kernel_id": "115110"}, {"ref": "tomfgato/create-dataset-with-tensorflow", "kernel_id": "115123"}, {"ref": "vivant/notebookf7aa8198bf", "kernel_id": "188909"}, {"ref": "lifematrix/notebookd2606b7832", "kernel_id": "158990"}, {"ref": "iskakaushik/notebook8a9c454d02", "kernel_id": "229975"}, {"ref": "benderv/notebook41321aa0cb", "kernel_id": "106536"}, {"ref": "benderv/notebook4437ea1025", "kernel_id": "106892"}, {"ref": "mjyhan/notebook6c88a8a003", "kernel_id": "165845"}, {"ref": "dfletcher/notebook5e2644ccb4", "kernel_id": "141352"}, {"ref": "ktimothy/firsttest", "kernel_id": "107706"}, {"ref": "aragorn87/jeff-delaney-kernel-using-skimage", "kernel_id": "167586"}, {"ref": "aal13n/notebook3ced3323ed", "kernel_id": "122880"}, {"ref": "yonilev/predicting-image-rotation", "kernel_id": "381853"}, {"ref": "wiseguy/notebookda5da6b187", "kernel_id": "173177"}, {"ref": "surfield/notebook916bc84503", "kernel_id": "127743"}, {"ref": "srajeev/notebooke8bab5539c", "kernel_id": "113133"}, {"ref": "phunghx/catdognet-keras-convnet-starter-ffd274b8", "kernel_id": "112384"}, {"ref": "phunghx/catdognet-keras-convnet-starter", "kernel_id": "109871"}, {"ref": "david101/cat-a-dog", "kernel_id": "103816"}, {"ref": "dbalchev/notebooka463527b73", "kernel_id": "167845"}, {"ref": "vamshikrishnak/notebook5e28b6c173", "kernel_id": "170389"}, {"ref": "changliu2016/catdognet-keras-convnet-starter", "kernel_id": "174638"}, {"ref": "changliu2016/catdognet-keras-convnet-starter-267cbd76", "kernel_id": "174669"}, {"ref": "abhinavunnam/mxnet-with-r-starter-kit", "kernel_id": "113194"}, {"ref": "prafultickoo/l-layer-deep-neural-network", "kernel_id": "710567"}, {"ref": "khalido/dogs-vs-cat-kernel-wars", "kernel_id": "205888"}, {"ref": "cosminro/notebook95b22a5ce0", "kernel_id": "166552"}, {"ref": "shubhamgoel27/catdognet-keras-convnet-starter", "kernel_id": "127035"}, {"ref": "kyhoolee/notebook63849260f4", "kernel_id": "117780"}, {"ref": "vineetagarwal208/notebook63b723e901", "kernel_id": "152046"}, {"ref": "andreisun/cat-nn-11", "kernel_id": "98738"}, {"ref": "andreisun/cat-nn-126", "kernel_id": "101591"}, {"ref": "pvsquare/notebookf17d2f32e8", "kernel_id": "201219"}, {"ref": "pvsquare/notebookd561636ab6", "kernel_id": "201221"}, {"ref": "quentinbuat/notebookdf1c49ad2d", "kernel_id": "119531"}, {"ref": "joshuacortez/catdognet-keras-convnet-starter", "kernel_id": "94335"}, {"ref": "howardhuo/notebookb0c1c226c4", "kernel_id": "154126"}, {"ref": "smooth3r/notebooke90c51c802", "kernel_id": "231390"}, {"ref": "shw210/notebook09e97555ed", "kernel_id": "233034"}, {"ref": "cristianpachon/notebook2bac28be72", "kernel_id": "95689"}, {"ref": "abhisheknagarjuna/notebooka07b2eff8a", "kernel_id": "155318"}, {"ref": "abhisheknagarjuna/image-preprocessing-exploration-2", "kernel_id": "137348"}, {"ref": "abhisheknagarjuna/notebookea75f515f0", "kernel_id": "192156"}, {"ref": "abhisheknagarjuna/tensorflow-starter-kit-fixed", "kernel_id": "185190"}, {"ref": "prashantmahesh/notebookb82b6807cf", "kernel_id": "246637"}, {"ref": "prashantmahesh/notebook663260f304", "kernel_id": "246638"}, {"ref": "jacklow/tensorflow-starter-kit-fixed", "kernel_id": "191537"}, {"ref": "jacklow/tensorflow-starter-kit-fixed-750e21", "kernel_id": "191562"}, {"ref": "rishabhr0y/notebook44229e1f6f", "kernel_id": "160942"}, {"ref": "maheshag5/notebook623d6e2d3f", "kernel_id": "97459"}, {"ref": "kgatilin/notebookd22f7eb6df", "kernel_id": "171124"}, {"ref": "kgatilin/catdognet-keras-convnet-starter", "kernel_id": "171126"}, {"ref": "kgatilin/catdognet-keras-convnet-starter-55c6775c", "kernel_id": "171129"}, {"ref": "kgatilin/notebook1fa733022d", "kernel_id": "164465"}, {"ref": "spattigilli/notebookefbfaf13ff", "kernel_id": "115099"}, {"ref": "aboustati/catdognet-keras-convnet-starter", "kernel_id": "158307"}, {"ref": "shaheen/notebooked98d1cce0", "kernel_id": "186135"}, {"ref": "anandkannan/first-steps-with-tensorflow", "kernel_id": "105213"}, {"ref": "datitran/notebookf1b65d95c7", "kernel_id": "124313"}, {"ref": "benyuwang/mxnet-with-r-starter-kit", "kernel_id": "115433"}, {"ref": "benyuwang/mxnet-with-r-starter-kit-1f8d9d85", "kernel_id": "142148"}, {"ref": "andreysheka/notebook50249c5430", "kernel_id": "216850"}, {"ref": "shravanumn/notebook1319aadf50", "kernel_id": "169721"}, {"ref": "shravanumn/create-dataset-with-tensorflow", "kernel_id": "169723"}, {"ref": "shravanumn/tensorflow-starter-kit-please-assist", "kernel_id": "172405"}, {"ref": "sammyd/catdognet-keras-convnet-starter-3cf45fb8", "kernel_id": "121967"}, {"ref": "sammyd/catdognet-keras-convnet-starter-cc604775", "kernel_id": "121964"}, {"ref": "sammyd/myscript", "kernel_id": "121012"}, {"ref": "klimovich/cat-vs-dogs-on-keras-tf-tested-with-gtx-1080", "kernel_id": "319722"}, {"ref": "mengyalan/notebook63b1fed4ab", "kernel_id": "163048"}, {"ref": "mengyalan/notebookfd2c811f89", "kernel_id": "163050"}, {"ref": "tyoko010/notebook0738673aba", "kernel_id": "148651"}, {"ref": "tyoko010/notebooke48e1a435d", "kernel_id": "115383"}, {"ref": "darshansorted/catdognet-keras-convnet-starter", "kernel_id": "111457"}, {"ref": "zengjk/notebook5ca27d7870", "kernel_id": "101713"}, {"ref": "elusivedelusive/dog-or-cat-keras", "kernel_id": "347565"}, {"ref": "dehouckt/notebook534dfc77ef", "kernel_id": "162584"}, {"ref": "dehouckt/notebook97c8aac568", "kernel_id": "162585"}, {"ref": "dehouckt/notebook7d9ac265e0", "kernel_id": "162593"}, {"ref": "dehouckt/dfirst-try", "kernel_id": "162594"}, {"ref": "ykg2992/catdognet-keras-convnet-starter-cf4bf7", "kernel_id": "192304"}, {"ref": "ykg2992/tensorflow-starter-kit-fixed", "kernel_id": "192317"}, {"ref": "ykg2992/notebook09ca40074d", "kernel_id": "184606"}, {"ref": "ykg2992/catdognet-keras-convnet-starter", "kernel_id": "184612"}, {"ref": "lefant/test-kernel", "kernel_id": "181601"}, {"ref": "lefant/xception-transfer-learning", "kernel_id": "201328"}, {"ref": "letsbattle/notebook1725abe67c", "kernel_id": "199333"}, {"ref": "kuntalganguly/tensorflow-starter-kit-please-assist", "kernel_id": "172758"}, {"ref": "lvaleriu/catdognet-keras-convnet-starter", "kernel_id": "94941"}, {"ref": "p18novembre/notebookeebb344945", "kernel_id": "97257"}, {"ref": "wkuwku/notebook6f3b2316c5", "kernel_id": "96304"}, {"ref": "azrael/catdognet-keras-convnet-starter", "kernel_id": "120798"}, {"ref": "vshets/notebook2748d0da8e", "kernel_id": "110427"}, {"ref": "shailjathakur/catdognet-keras-convnet-starter", "kernel_id": "124092"}, {"ref": "shailjathakur/catdognet-keras-convnet-starter-97876454", "kernel_id": "162495"}, {"ref": "conicrelief/hello-word-of-catdogs", "kernel_id": "173703"}, {"ref": "fanpeng2/notebook6677fc448d", "kernel_id": "254713"}, {"ref": "fanpeng2/catdognet-keras-convnet-starter", "kernel_id": "254722"}, {"ref": "pamdirac/keras-nn", "kernel_id": "149412"}, {"ref": "pamdirac/notebookb8f420fdec", "kernel_id": "154958"}, {"ref": "witawat/notebook22eb033c34", "kernel_id": "105309"}, {"ref": "amanzotti/notebooka96d01d26d", "kernel_id": "101448"}, {"ref": "chatcat/catdognet-keras-convnet-starter", "kernel_id": "110815"}, {"ref": "varunsuresh/notebook136987effe", "kernel_id": "107425"}, {"ref": "vikramlance/catdognet-keras-convnet-starter", "kernel_id": "181226"}, {"ref": "tiffany01/notebooke7b96a0c0a", "kernel_id": "128403"}, {"ref": "tiffany01/notebook3d99f09a61", "kernel_id": "128404"}, {"ref": "solomonroberts/notebookdaae8ebe04", "kernel_id": "97704"}, {"ref": "alessandromarrella/notebooka3dfa3d548", "kernel_id": "97525"}, {"ref": "princerk/logistic-regression", "kernel_id": "359661"}, {"ref": "kravtsov/catdognet-keras-convnet-starter", "kernel_id": "165741"}, {"ref": "jiancheng/hello-kernels", "kernel_id": "114343"}, {"ref": "kretes/keras-resnet50-wordnet", "kernel_id": "95675"}, {"ref": "moof2k/notebook2c201c0e6a", "kernel_id": "266591"}, {"ref": "moof2k/catdognet-keras-convnet-starter", "kernel_id": "266592"}, {"ref": "lianglu/notebook4d5d3cdea1", "kernel_id": "110847"}, {"ref": "vanausloos/catdognet-keras-convnet-starter", "kernel_id": "156263"}, {"ref": "vanausloos/solution-dogs-vs-cats-svm-model-model-2", "kernel_id": "158283"}, {"ref": "vanausloos/catdognet-keras-convnet-starter-xavier-model-1", "kernel_id": "158102"}, {"ref": "tizianascarna/dogvscat-test", "kernel_id": "154804"}, {"ref": "dmittov/notebook0c3050a09a", "kernel_id": "216661"}, {"ref": "ninghai/thisisatest", "kernel_id": "110993"}, {"ref": "stassl/displaying-inline-images-in-pandas-dataframe", "kernel_id": "429658"}, {"ref": "tayfurr/catdognet-keras-convnet-starter", "kernel_id": "135831"}, {"ref": "tayfurr/catdognet-keras-convnet-starter-db2a20fb", "kernel_id": "169542"}, {"ref": "tayfurr/catdognet-keras-convnet-starter-5b753be5", "kernel_id": "164952"}, {"ref": "tlw2011/notebookba32048b46", "kernel_id": "164347"}, {"ref": "pmathur/notebookc42a26c445", "kernel_id": "121361"}, {"ref": "amalferiani/notebook94bb5132c2", "kernel_id": "240841"}, {"ref": "harrymu/notebook34981f3148", "kernel_id": "152331"}, {"ref": "harrymu/dogs-vs-cats-redux", "kernel_id": "152291"}, {"ref": "ecythml/sometesting", "kernel_id": "153512"}, {"ref": "ecythml/image-preprocessing-exploration-2", "kernel_id": "153515"}, {"ref": "gdmeda/notebook4163dbc535", "kernel_id": "149328"}, {"ref": "gdmeda/notebookc4a42bbfa7", "kernel_id": "149330"}, {"ref": "bogdanmorosanu/notebook2308a88c82", "kernel_id": "120315"}, {"ref": "vijinkp/catdognet-keras-convnet-starter", "kernel_id": "174052"}, {"ref": "sempwn/catdognet-keras-convnet-starter", "kernel_id": "108482"}, {"ref": "prakashanand/imagenet", "kernel_id": "155307"}, {"ref": "nkummer/cat-v-dog", "kernel_id": "198379"}, {"ref": "nkummer/notebook3f6558a555", "kernel_id": "199700"}, {"ref": "binhuang/tensorflow-starter-kit-fixed-cd3ab48c", "kernel_id": "183618"}, {"ref": "binhuang/tensorflow-starter-kit-fixed", "kernel_id": "183605"}, {"ref": "binhuang/tensorflow-starter-kit-fixed-ef052f", "kernel_id": "186161"}, {"ref": "binhuang/tensorflow-starter-kit-fixed-a36981", "kernel_id": "186162"}, {"ref": "daniuatchina/catordogscript", "kernel_id": "141092"}, {"ref": "daniuatchina/notebook700bbf7e25", "kernel_id": "140903"}, {"ref": "daniuatchina/script0-3125", "kernel_id": "143860"}, {"ref": "daniuatchina/script3125-6250", "kernel_id": "143865"}, {"ref": "daniuatchina/script6250-9375", "kernel_id": "143868"}, {"ref": "daniuatchina/script9375-12500", "kernel_id": "143872"}, {"ref": "daniuatchina/script10000-12500", "kernel_id": "143873"}, {"ref": "markdavey/catdognet-keras-convnet-starter", "kernel_id": "155645"}, {"ref": "melkitoldi/notebooka62b31152d", "kernel_id": "107372"}, {"ref": "zvekan/create-dataset-with-tensorflow", "kernel_id": "166510"}, {"ref": "codebat/notebook93e1c47e02", "kernel_id": "193918"}, {"ref": "codebat/notebook8a64bb7afa", "kernel_id": "193873"}, {"ref": "codebat/notebook5b1f442e88", "kernel_id": "193251"}, {"ref": "zerostack/notebook57881c693d", "kernel_id": "166852"}, {"ref": "hoondori/catdognet-keras-convnet-starter", "kernel_id": "142610"}, {"ref": "hoondori/catdognet-keras-convnet-starter-9ce08465", "kernel_id": "142919"}, {"ref": "zerobyte009/image-preprocessing-exploration-2-d3a0cad1", "kernel_id": "116265"}, {"ref": "zerobyte009/notebook3d770a1689", "kernel_id": "156312"}, {"ref": "agentjay/notebook168d3b3240", "kernel_id": "193710"}, {"ref": "smafjal/resnet-preconvnet-featuretuning-pytorch", "kernel_id": "665074"}, {"ref": "keunwoo/notebook432e570f1f", "kernel_id": "177675"}, {"ref": "keunwoo/notebook48343614e1", "kernel_id": "163065"}, {"ref": "keunwoo/tensorflow", "kernel_id": "166905"}, {"ref": "hongying/notebooke9774cfcb8", "kernel_id": "233172"}, {"ref": "leemeng/catdognet-keras-convnet-starter", "kernel_id": "175855"}, {"ref": "tmtang15/notebooke122ddd600", "kernel_id": "175340"}, {"ref": "tmtang15/catdognet-keras-convnet-starter", "kernel_id": "175355"}, {"ref": "kelvinkong/notebook0f7d76b06e", "kernel_id": "251416"}, {"ref": "cyberscientist/catdognet-keras-convnet-starter", "kernel_id": "104188"}, {"ref": "darshitd/notebook3288a7b057", "kernel_id": "108613"}, {"ref": "nicosia1/catdognet-keras-convnet-starter", "kernel_id": "130810"}, {"ref": "madhumala/notebook0d26f99742", "kernel_id": "155374"}, {"ref": "chck1245/catdognet-keras-convnet-starter", "kernel_id": "192837"}, {"ref": "febrifahmi/notebookb8e0891726", "kernel_id": "229356"}, {"ref": "febrifahmi/move-your-tail", "kernel_id": "229357"}, {"ref": "zbolster/notebook788a11d550", "kernel_id": "151166"}, {"ref": "jitesh2015/create-dataset-with-tensorflow", "kernel_id": "133061"}, {"ref": "vlandeau/catdognet-keras-convnet-starter-07f4a525", "kernel_id": "143813"}, {"ref": "lightening0907/notebook669d9915a4", "kernel_id": "240735"}, {"ref": "lightening0907/notebookfcae16070c", "kernel_id": "240737"}, {"ref": "daij1492/dl-exercise-for-dogs-vs-cats", "kernel_id": "256671"}, {"ref": "rafalpronko/notebook8752ff3fe7", "kernel_id": "95023"}, {"ref": "mikecassell/test-1", "kernel_id": "128008"}, {"ref": "mikecassell/notebooke7fdddd9f9", "kernel_id": "128013"}, {"ref": "bravofrucht/notebook1e82c98d40", "kernel_id": "170172"}, {"ref": "armaniferrante/catdognet-keras-convnet-starter", "kernel_id": "154319"}, {"ref": "maralski/notebook9685298ade", "kernel_id": "149178"}, {"ref": "pablocastilla/is-it-a-dog", "kernel_id": "121247"}, {"ref": "xingxu1978/catdognet-keras-convnet-starter-b9279ead", "kernel_id": "164334"}, {"ref": "xingxu1978/catdognet-keras-convnet-starter", "kernel_id": "157808"}, {"ref": "kuoxen/kuoxen-dog-vs-cat", "kernel_id": "242159"}, {"ref": "bohaohan/is-it-a-dog", "kernel_id": "125220"}, {"ref": "idozeh/dongdemisim", "kernel_id": "95154"}, {"ref": "northz/catdognet-keras-convnet-starter", "kernel_id": "187821"}, {"ref": "lalthan/notebook468db23f6e", "kernel_id": "154772"}, {"ref": "jeremiedb/mxnet-with-r-starter-kit", "kernel_id": "95069"}, {"ref": "paulescu/create-dataset-with-tensorflow", "kernel_id": "135194"}, {"ref": "mlgill/notebooke824c7fe7f", "kernel_id": "106548"}, {"ref": "rwje1984/mxnet-with-r-starter-kit-44cc3c78", "kernel_id": "102545"}, {"ref": "rwje1984/catdognet-keras-convnet-starter-95f057af", "kernel_id": "114025"}, {"ref": "rwje1984/mxnet-with-r-starter-kit-1b34c707", "kernel_id": "124260"}, {"ref": "rwje1984/catdognet-keras-convnet-starter", "kernel_id": "94404"}, {"ref": "rwje1984/mxnet-with-r-starter-kit", "kernel_id": "95201"}, {"ref": "carlosaguayo/introduction-to-deep-learning", "kernel_id": "615006"}, {"ref": "carlosaguayo/cats-vs-dogs-transfer-learning-pre-trained-vgg16", "kernel_id": "691012"}, {"ref": "david84/notebook3d941c26da", "kernel_id": "117555"}, {"ref": "brassmonkey381/notebook152cccb30f", "kernel_id": "96700"}, {"ref": "atirpetkar/notebook8b8dbcad81", "kernel_id": "224431"}, {"ref": "atirpetkar/notebook0d98bc019b", "kernel_id": "219443"}, {"ref": "atirpetkar/notebooke6e6f4b3fe", "kernel_id": "235469"}, {"ref": "osamaaref/notebook32041cd253", "kernel_id": "154717"}, {"ref": "jyonkov/notebook01f04c2148", "kernel_id": "243510"}, {"ref": "jyonkov/notebookc991ef3014", "kernel_id": "245905"}, {"ref": "jyonkov/notebook2c5aa03801", "kernel_id": "246573"}, {"ref": "jyonkov/notebookcf6dca9396", "kernel_id": "247918"}, {"ref": "jyonkov/notebook091f362ae0", "kernel_id": "247864"}, {"ref": "jyonkov/notebookf8a52806b5", "kernel_id": "247843"}, {"ref": "jyonkov/test1", "kernel_id": "247082"}, {"ref": "tunguz/catdognet-keras-convnet-starter", "kernel_id": "94541"}, {"ref": "tunguz/cats-n-dogs-1", "kernel_id": "94813"}, {"ref": "tunguz/notebook3c2a4f5bda", "kernel_id": "95260"}, {"ref": "julioasoto/catdognet-keras-convnet-starter", "kernel_id": "111513"}, {"ref": "haidongliu/wonderful", "kernel_id": "120679"}, {"ref": "hcyray/test-1", "kernel_id": "222656"}, {"ref": "valerydanilik/notebook8116d0c95b", "kernel_id": "135785"}, {"ref": "tanujbhatia/notebook53c9df4ed9", "kernel_id": "175108"}, {"ref": "ekkus93/keras-models-as-datasets-test", "kernel_id": "291129"}, {"ref": "chrisyohann/firstnotebook", "kernel_id": "163372"}, {"ref": "chrisyohann/notebook25d1240b14", "kernel_id": "162602"}, {"ref": "chrisyohann/notebooka27334be72", "kernel_id": "162603"}, {"ref": "joancardonasa/notebook795fd1a7ff", "kernel_id": "95930"}, {"ref": "chronus25/notebook5a33086338", "kernel_id": "219407"}, {"ref": "phiswap/tensorflow-starter-kit", "kernel_id": "179257"}, {"ref": "freeman89/create-dataset-with-tensorflow", "kernel_id": "101414"}, {"ref": "datou12138/notebook1fcd6c09b2", "kernel_id": "99379"}, {"ref": "ofcourse/notebook19d1fa25d1", "kernel_id": "114980"}, {"ref": "cbonzi/full-classification-example-with-convnet", "kernel_id": "243584"}, {"ref": "dblancke/notebook843e9631f9", "kernel_id": "168199"}, {"ref": "dongjie/cat-dog-notebook", "kernel_id": "168586"}, {"ref": "nagorr/notebook18f580ccab", "kernel_id": "98382"}, {"ref": "sergios/notebook827e51fc53", "kernel_id": "105285"}, {"ref": "sajuas/solution-dogs-vs-cats", "kernel_id": "146945"}, {"ref": "danchyy/notebook6b93b9e55c", "kernel_id": "174550"}, {"ref": "danielhuckins/attempt-with-keras", "kernel_id": "95241"}, {"ref": "danielhuckins/attempt2", "kernel_id": "94773"}, {"ref": "danielhuckins/notebookafdfd22b63", "kernel_id": "94423"}, {"ref": "pandeyanil/cat-002", "kernel_id": "187008"}, {"ref": "davetb/tensorflow-starter-kit", "kernel_id": "180534"}, {"ref": "memery44/catdognet-keras-convnet-starter", "kernel_id": "111815"}, {"ref": "memery44/catdognet-keras-convnet-starter-bb3c1703", "kernel_id": "116494"}, {"ref": "estnnk/catdognet-keras-convnet-starter-b9d585dc", "kernel_id": "181656"}, {"ref": "estnnk/catdognet-keras-convnet-starter", "kernel_id": "181602"}, {"ref": "estnnk/catdognet-keras-convnet-starter-0a845998", "kernel_id": "181610"}, {"ref": "estnnk/catdognet-keras-convnet-starter-1efddce7", "kernel_id": "181617"}, {"ref": "estnnk/tensorflow-starter-kit", "kernel_id": "181619"}, {"ref": "vovacher/notebook1ff8a02532", "kernel_id": "154890"}, {"ref": "augustusmyc/catdognet-keras-convnet-starter", "kernel_id": "98677"}, {"ref": "shweta0193/notebook844c4abcf6", "kernel_id": "194109"}, {"ref": "shweta0193/notebook7c218ffbb3", "kernel_id": "194259"}, {"ref": "postdemian/notebook938630c7f4", "kernel_id": "95602"}, {"ref": "vikassharma/notebook02ab5e6734", "kernel_id": "100742"}, {"ref": "devangkulshreshtha/catdognet-keras-convnet-starter", "kernel_id": "157565"}, {"ref": "devangkulshreshtha/catdognet-keras-convnet-starter-b70ec4a7", "kernel_id": "157566"}, {"ref": "kytrick/tensorflow-starter-kit-fixed", "kernel_id": "186929"}, {"ref": "vaibhavlaturkar/fork-of-notebook8aacb78f7f", "kernel_id": "150651"}, {"ref": "vaibhavlaturkar/notebook3825c6aba5", "kernel_id": "148704"}, {"ref": "vineet19/dogs-vs-cat-svm", "kernel_id": "182634"}, {"ref": "vineet19/cat-vs-dog", "kernel_id": "182665"}, {"ref": "mehrshad/catdognet-keras-convnet-starter", "kernel_id": "143067"}, {"ref": "rdslater/tensorflow-starter-kit", "kernel_id": "178193"}, {"ref": "rdslater/data-streaming-for-convoluted-neural-net", "kernel_id": "172956"}, {"ref": "ghostmanandwoman/notebooke9c8ee2ad1", "kernel_id": "94946"}, {"ref": "ljubica/catdognet-keras-convnet-starter-647561", "kernel_id": "184023"}, {"ref": "ljubica/catdognet-keras-convnet-starter-e4389b", "kernel_id": "184010"}, {"ref": "ljubica/catdognet-keras-convnet-starter", "kernel_id": "184000"}, {"ref": "djscott1909/notebookb8a1548e5f", "kernel_id": "132471"}, {"ref": "ayank77/neural-network-from-scratch", "kernel_id": "367863"}, {"ref": "sfcarroll/catdognet-keras-convnet-starter", "kernel_id": "138382"}, {"ref": "lukeerren/catdognet-keras-convnet-starter", "kernel_id": "190902"}, {"ref": "laviavigdor/notebooke54b9a86f2", "kernel_id": "164571"}, {"ref": "mustek/notebook1218e4cd3e", "kernel_id": "104434"}, {"ref": "andy1993/notebook128db458b9", "kernel_id": "159143"}, {"ref": "shinjjo/notebookd277cdbcb5", "kernel_id": "148245"}, {"ref": "alexlaki/notebookaf4d19a259", "kernel_id": "109332"}, {"ref": "sontung1404/catdognet-keras-convnet-starter", "kernel_id": "100673"}, {"ref": "sontung1404/notebook45d476fafc", "kernel_id": "100055"}, {"ref": "sontung1404/dogcat", "kernel_id": "100056"}, {"ref": "sontung1404/notebooke0187d98dd", "kernel_id": "101170"}, {"ref": "sontung1404/notebook405b3c5e31", "kernel_id": "95446"}, {"ref": "selwynsimsek/notebook9fe34f97a6", "kernel_id": "143237"}, {"ref": "gogolgrind/catdognet-keras-convnet-starter", "kernel_id": "95488"}, {"ref": "tariqph/new2kernel", "kernel_id": "242321"}, {"ref": "nicolaspignol/notebook53347e4407", "kernel_id": "181796"}, {"ref": "nicolaspignol/notebook58ceb898e2", "kernel_id": "181735"}, {"ref": "jangho/create-dataset-with-tensorflow", "kernel_id": "139733"}, {"ref": "jangho/create-dataset-with-tensorflow-d915e134", "kernel_id": "143037"}, {"ref": "zhenwang/catdognet-keras-convnet-starter-427288a9", "kernel_id": "119297"}, {"ref": "zhenwang/catdognet-keras-convnet-starter", "kernel_id": "118608"}, {"ref": "zhenwang/catdognet-keras-convnet-starter-115060c1", "kernel_id": "122962"}, {"ref": "zhenwang/catdognet-keras-convnet-starter-4c2a583f", "kernel_id": "141114"}, {"ref": "wellyouknow/notebook0e765f8b4b", "kernel_id": "109067"}, {"ref": "qwasimintah/image-preprocessing-exploration-2", "kernel_id": "180432"}, {"ref": "qwasimintah/cat-dog-notebook", "kernel_id": "180438"}, {"ref": "qwasimintah/catdognet-keras-convnet-starter-xavier-model-1", "kernel_id": "181159"}, {"ref": "timlincool/tensorflow-starter-kit-fixed", "kernel_id": "187050"}, {"ref": "dkchaitanya/notebook920ff0485a", "kernel_id": "142398"}, {"ref": "edomedo/notebook24bcd16b42", "kernel_id": "130158"}, {"ref": "xideang/notebookb38af946bc", "kernel_id": "188138"}, {"ref": "xideang/catdognet-keras-convnet-starter", "kernel_id": "183133"}, {"ref": "xideang/notebookdf70b5f3d0", "kernel_id": "182272"}, {"ref": "xideang/test-scr", "kernel_id": "182275"}, {"ref": "xideang/notebook9d9813b023", "kernel_id": "182280"}, {"ref": "xideang/tensorflow-starter-kit", "kernel_id": "182283"}, {"ref": "samhaaf/notebookf63a468466", "kernel_id": "111971"}, {"ref": "antoinewdg/catdognet-keras-convnet-starter", "kernel_id": "149261"}, {"ref": "anokas/versions", "kernel_id": "94118"}, {"ref": "weenkus/tensorflow-convnet", "kernel_id": "116809"}, {"ref": "jiayue/catdognet-keras-convnet-starter", "kernel_id": "96052"}, {"ref": "twairball/notebook6cca2792a5", "kernel_id": "160735"}, {"ref": "berandon/cat-dog-notebook", "kernel_id": "169431"}, {"ref": "heslicia/create-dataset-with-tensorflow", "kernel_id": "152703"}, {"ref": "zavodrobotov/catdognet-keras-convnet-starter", "kernel_id": "101180"}, {"ref": "al3ks1002/mlc12", "kernel_id": "152663"}, {"ref": "sroland68/tensorflow-starter-kit-fixed", "kernel_id": "188924"}, {"ref": "markoog/notebook61c8d8c708", "kernel_id": "154715"}, {"ref": "joyshen06/notebook27814d9df3", "kernel_id": "246260"}, {"ref": "gauss256/preprocess-images", "kernel_id": "112250"}, {"ref": "gauss256/image-preprocessing-exploration-2", "kernel_id": "112251"}, {"ref": "shafiee/tensorflow-starter-kit", "kernel_id": "176070"}, {"ref": "fkaupmann/notebook8232cd73bd", "kernel_id": "171186"}, {"ref": "nuclear/catdognet-keras-convnet-starter", "kernel_id": "212710"}, {"ref": "huakaijianwo/catdognet-keras-convnet-starter", "kernel_id": "175494"}, {"ref": "han4wluc/testtest", "kernel_id": "127612"}, {"ref": "s7uff3r/catdognet-keras-convnet-starter", "kernel_id": "172679"}, {"ref": "ofer2k/notebook655cfd66a1", "kernel_id": "149263"}, {"ref": "edgarwest/thingie", "kernel_id": "138052"}, {"ref": "shirgaokar/notebookb78ae6d2b1", "kernel_id": "152427"}, {"ref": "shirgaokar/cnn-in-keras", "kernel_id": "154915"}, {"ref": "vihangpatil/catdognet-keras-convnet-starter", "kernel_id": "158776"}, {"ref": "tfrmarques/cats-vs-dogs-keras-pretrained-inception-v3", "kernel_id": "720215"}, {"ref": "tfrmarques/dogs-vs-cats-r-keras-cnn", "kernel_id": "695482"}, {"ref": "sravdata/catdognet-keras-convnet-starter", "kernel_id": "111341"}, {"ref": "xinpeng/catdognet-keras-convnet-starter", "kernel_id": "131601"}, {"ref": "geenen124/notebookbc2d58d408", "kernel_id": "150705"}, {"ref": "bilgee/notebook16bb90d8b8", "kernel_id": "173239"}, {"ref": "sydridgm/notebook1c21086302", "kernel_id": "115838"}, {"ref": "aakashnain/catdognet-keras-convnet-starter", "kernel_id": "95766"}, {"ref": "gabrieldemarmiesse/catdognet-keras-convnet-starter", "kernel_id": "130380"}, {"ref": "shaoboli/catdognet-keras-convnet-starter", "kernel_id": "151128"}, {"ref": "gioroulden/notebook9dec1e8990", "kernel_id": "229416"}, {"ref": "ryankenning/notebookecb81ea9d8", "kernel_id": "97533"}, {"ref": "ryankenning/catdognet-keras-convnet-starter", "kernel_id": "106604"}, {"ref": "bpiejak/differentiating-dogs-and-cats-based-on-images", "kernel_id": "130452"}, {"ref": "minto4644/notebook4abcb0b5f4", "kernel_id": "163358"}, {"ref": "fitrialif/catdognet-keras-convnet-starter", "kernel_id": "137457"}, {"ref": "jypucca/cat-and-dog-keras-convnet-classifier", "kernel_id": "121362"}, {"ref": "jypucca/fork-of-catdognet-keras-convnet-starter", "kernel_id": "123031"}, {"ref": "mdavis29/notebook6d771bf045", "kernel_id": "109297"}, {"ref": "mdavis29/notebook11ad9393f6", "kernel_id": "110769"}, {"ref": "mdavis29/catdognet-keras-convnet-starter", "kernel_id": "118918"}, {"ref": "soleaf/notebooke1c302e2cd", "kernel_id": "94329"}, {"ref": "vibs4data/deeplearningbyvibs", "kernel_id": "271952"}, {"ref": "rainday/import", "kernel_id": "104483"}, {"ref": "conghuifu/notebookc6a4da475d", "kernel_id": "126833"}, {"ref": "fcbruce/notebook0dbcab00cd", "kernel_id": "122077"}, {"ref": "jihyeseo/dog-probability-regression-binary-classify", "kernel_id": "958693"}, {"ref": "dannman999/catdognet-keras-convnet-starter", "kernel_id": "168080"}, {"ref": "dannman999/notebook63ec4e5624", "kernel_id": "168089"}, {"ref": "dannman999/notebook996d31ba6e", "kernel_id": "168098"}, {"ref": "dannman999/image-preprocessing-exploration-2", "kernel_id": "168099"}, {"ref": "origamiwolf/notebook18a3e44c59", "kernel_id": "131191"}, {"ref": "leozhuo/cnn-tensorflow", "kernel_id": "103853"}, {"ref": "leozhuo/create-dataset-with-tensorflow", "kernel_id": "118540"}, {"ref": "lqxshane/notebook498c68388e", "kernel_id": "101058"}, {"ref": "klandry/notebook6699c4128b", "kernel_id": "114983"}, {"ref": "jmlbeaujour/cats-dogs-trimmed-vgg16-with-dilated-convolution", "kernel_id": "707384"}, {"ref": "richbrosius/tensorflow-starter-kit-please-assist", "kernel_id": "170339"}, {"ref": "bhavin266/notebook8a3fcedb40", "kernel_id": "242519"}, {"ref": "himanshu0202/notebook474e7e1144", "kernel_id": "242520"}, {"ref": "attar1/notebooka7cd7fe986", "kernel_id": "152681"}, {"ref": "vincento/catdognet-keras-convnet-starter", "kernel_id": "108979"}, {"ref": "vincento/keras-vgg-retrained-cnn", "kernel_id": "108832"}, {"ref": "sauravkaushik8/notebookadeaf9f255", "kernel_id": "222749"}, {"ref": "sauravkaushik8/notebook941f55178f", "kernel_id": "222761"}, {"ref": "sauravkaushik8/notebook664ee9c165", "kernel_id": "223883"}, {"ref": "sauravkaushik8/notebookea2e75181c", "kernel_id": "225518"}, {"ref": "sauravkaushik8/notebook6ca6b6bc28", "kernel_id": "224728"}, {"ref": "pfcmat/notebookba6e94255d", "kernel_id": "99524"}, {"ref": "nachilieder/kernelf93e13d6c3", "kernel_id": "957479"}, {"ref": "deepaksharma/notebook6ee7861d05", "kernel_id": "180128"}, {"ref": "ssmike/notebook535b74b01c", "kernel_id": "209289"}, {"ref": "liuzihe/notebookecc8e59600", "kernel_id": "188593"}, {"ref": "liuzihe/fork-of-notebook6b9ac53231", "kernel_id": "191617"}, {"ref": "jeroenmoons/catsanddogs", "kernel_id": "98611"}, {"ref": "rbathula/dogs-vs-cat-classifier", "kernel_id": "159380"}, {"ref": "saurabhnaik/notebook7d03d671b7", "kernel_id": "187210"}, {"ref": "shahil93/cat-and-dogs-1", "kernel_id": "94622"}, {"ref": "ak3703/dogs-vs-cats-redux-kernels-edition", "kernel_id": "121378"}, {"ref": "anchorstrome/notebook1cda956a0e", "kernel_id": "97417"}, {"ref": "igorbb/notebook9bc9b40f4d", "kernel_id": "139356"}, {"ref": "kitty69/notebook80c80a5cb3", "kernel_id": "135923"}, {"ref": "stoney9188/notebook22b581128d", "kernel_id": "158058"}, {"ref": "yoruss/notebook65f3bc5d8c", "kernel_id": "196169"}, {"ref": "cjd1989/notebook59a71b8815", "kernel_id": "126827"}, {"ref": "cjd1989/con-script-dogs-cats", "kernel_id": "126804"}, {"ref": "byatin/notebook85d33d465b", "kernel_id": "232788"}, {"ref": "yangpeiwen/keras-imagedatagenerator-usage", "kernel_id": "122395"}, {"ref": "hyunwooj/notebook841f9bc769", "kernel_id": "100211"}, {"ref": "maerville/notebook851581225c", "kernel_id": "157626"}, {"ref": "cpwhidden/notebookc35499b696", "kernel_id": "184214"}, {"ref": "lucasobara/notebook127f06a9fa", "kernel_id": "132325"}, {"ref": "lucasobara/theano-vgg8", "kernel_id": "132327"}, {"ref": "xiaobinzheng/catdognet-keras-convnet-starter", "kernel_id": "117566"}, {"ref": "xiaobinzheng/dogvscat", "kernel_id": "117755"}, {"ref": "xiaobinzheng/notebook3b822cda8e", "kernel_id": "116612"}, {"ref": "belov38/notebooke499b9b0ad", "kernel_id": "113755"}, {"ref": "mtanzi/notebook4b9dfec740", "kernel_id": "166632"}, {"ref": "surajpai/create-sets", "kernel_id": "111909"}, {"ref": "alanmbarr/notebookffa665d786", "kernel_id": "109806"}, {"ref": "alanmbarr/notebook70ae0909e3", "kernel_id": "103381"}, {"ref": "alanmbarr/cats-and-dogs", "kernel_id": "102664"}, {"ref": "alanmbarr/notebook0a036ec743", "kernel_id": "102653"}, {"ref": "ebrion/notebook53963ec366", "kernel_id": "117959"}, {"ref": "ebrion/notebookc03e837fd0", "kernel_id": "159354"}, {"ref": "ebrion/notebook066fceb20e", "kernel_id": "159355"}, {"ref": "tapakah68/notebook293fd6ef43", "kernel_id": "155843"}, {"ref": "skyblue1/notebook260d64d968", "kernel_id": "195644"}, {"ref": "dvortsov/notebookc64f7e8115", "kernel_id": "155969"}, {"ref": "junhoning/notebook5be2443fa8", "kernel_id": "123520"}, {"ref": "maxmccann/tensorflow-starter-kit-fork", "kernel_id": "176177"}, {"ref": "maxmccann/tensorflow-starter-kit-583ba5eb", "kernel_id": "176251"}, {"ref": "qq1034616238/pytorch-dogs-vs-cats", "kernel_id": "826305"}, {"ref": "gumplus/notebook645a220a00", "kernel_id": "222842"}, {"ref": "jeffd23/catdognet-keras-convnet-starter", "kernel_id": "93943"}, {"ref": "xuhailun/notebook0694185380", "kernel_id": "111902"}, {"ref": "frankhy/tensorflow-starter-kit-fixed", "kernel_id": "189773"}, {"ref": "frankhy/catdognet-keras-convnet-starter-b56cbb", "kernel_id": "189755"}, {"ref": "kristensu/twosigma-eda", "kernel_id": "126683"}, {"ref": "cetusparibus/script9375-12500", "kernel_id": "148493"}, {"ref": "christodieu/notebookd876e6e72e", "kernel_id": "131909"}, {"ref": "christodieu/notebook19a7b6d1cf", "kernel_id": "131148"}, {"ref": "christodieu/notebookb4302964c2", "kernel_id": "130927"}, {"ref": "littlethunder/notebook4ed908d260", "kernel_id": "155321"}, {"ref": "littlethunder/haha-py", "kernel_id": "155322"}, {"ref": "kashyap32/keras-cnn", "kernel_id": "232105"}, {"ref": "idenzo/notebook612417dfa5", "kernel_id": "96885"}, {"ref": "liu0fanyi/notebook32c1f215eb", "kernel_id": "152334"}, {"ref": "snowsky/catdognet-keras-convnet-starter", "kernel_id": "329707"}, {"ref": "tennissuperstar/cats-vs-dogs-cv", "kernel_id": "157721"}, {"ref": "rdebbe/jeff-delaney-kernel-using-skimage", "kernel_id": "153006"}, {"ref": "rdebbe/running-jeff-delaney-s-kernel-in-kaggle-notebook", "kernel_id": "152632"}, {"ref": "liangfenglei/notebook29534c1ef9", "kernel_id": "200323"}, {"ref": "andrewlim/catdognet-keras-convnet-starter", "kernel_id": "111826"}, {"ref": "kingarthurie/notebookaa8fee45f2", "kernel_id": "101849"}, {"ref": "arnauddelaunay/notebookf4a6081342", "kernel_id": "142989"}, {"ref": "abranubhav/create-dataset-with-tensorflow", "kernel_id": "166846"}, {"ref": "rahenri/notebook4610dcbc8a", "kernel_id": "166085"}, {"ref": "libertylidz/notebook9813de9a51", "kernel_id": "184923"}, {"ref": "charlescostello/cats-and-dogs", "kernel_id": "117372"}, {"ref": "svesal/catvsdog", "kernel_id": "136601"}, {"ref": "slitch19/notebook399767e1ed", "kernel_id": "192484"}, {"ref": "geniusgeek/catdognet-keras-convnet-starter", "kernel_id": "165701"}, {"ref": "xiaoranone/catvsdogs", "kernel_id": "247355"}, {"ref": "mrgraham/catdognet-keras-convnet-starter", "kernel_id": "221484"}, {"ref": "ruaram/notebookb6495ec8c0", "kernel_id": "253096"}, {"ref": "ryeolj5911/notebook70019e45db", "kernel_id": "208025"}, {"ref": "ryeolj5911/simple-inception", "kernel_id": "208026"}, {"ref": "edopic/tensorflow-starter-kit", "kernel_id": "182864"}, {"ref": "sumihan/catdognet-keras-convnet-starter", "kernel_id": "125272"}, {"ref": "jinyuerui/notebooke67259eb9c", "kernel_id": "142570"}, {"ref": "yujunnes/tensorflow-starter-kit-fixed", "kernel_id": "186155"}, {"ref": "pankajtamhane/catdognet-keras-convnet-starter", "kernel_id": "116273"}, {"ref": "rudzha/notebookbdc8557cf8", "kernel_id": "187893"}, {"ref": "docker/notebooke8ffbacd57", "kernel_id": "228368"}, {"ref": "docker/notebook022a92c903", "kernel_id": "228369"}, {"ref": "isuldyr/notebookd55e0542c7", "kernel_id": "130646"}, {"ref": "isuldyr/notebook252b986b4a", "kernel_id": "130638"}, {"ref": "isuldyr/create-dataset-with-tensorflow", "kernel_id": "130654"}, {"ref": "shravankumar147/catdognet-keras-convnet-starter", "kernel_id": "99405"}, {"ref": "shravankumar147/image-preprocessing-exploration-2", "kernel_id": "120596"}, {"ref": "analog24/notebook08adc9f29d", "kernel_id": "108115"}, {"ref": "karidj/notebook44e1514367", "kernel_id": "218683"}, {"ref": "karidj/notebookc86d3d62de", "kernel_id": "218672"}, {"ref": "karidj/notebook2b7b3cd7b5", "kernel_id": "218632"}, {"ref": "karidj/notebook0d705e6b53", "kernel_id": "221303"}, {"ref": "karidj/notebooke1b670a1a0", "kernel_id": "221307"}, {"ref": "karidj/notebook3ca944b473", "kernel_id": "221962"}, {"ref": "thebear/notebook2ad9ce1031", "kernel_id": "109826"}, {"ref": "vandermode/show-image-for-debugging", "kernel_id": "184963"}, {"ref": "jinrui/notebook51b7e89370", "kernel_id": "152538"}, {"ref": "jinrui/script9375-12500", "kernel_id": "154244"}, {"ref": "jinrui/dogsvscat", "kernel_id": "140509"}, {"ref": "umang095/notebook3b27f30586", "kernel_id": "172561"}, {"ref": "huzaifafaruqui/notebookd4415bb6fb", "kernel_id": "179935"}, {"ref": "cklwankaggle/catdognet-keras-convnet-starter-bec568", "kernel_id": "195534"}, {"ref": "cklwankaggle/cnn-cat-dog", "kernel_id": "195535"}, {"ref": "cklwankaggle/catdognet-keras-convnet-starter", "kernel_id": "194913"}, {"ref": "cklwankaggle/cat-dog-vgg8", "kernel_id": "157354"}, {"ref": "cklwankaggle/tensorflow-starter-kit-please-assist", "kernel_id": "171527"}, {"ref": "munyari/tensorflow-starter-kit-fixed", "kernel_id": "216669"}, {"ref": "liuhuiwisdom/notebook5ae3ae0956", "kernel_id": "213000"}, {"ref": "tomaszmikus/catdognet-keras-convnet-starter", "kernel_id": "177323"}, {"ref": "macumtb/notebook600c8b7d53", "kernel_id": "100023"}, {"ref": "macumtb/notebook77bd1525fa", "kernel_id": "161212"}, {"ref": "benoitclem/myfirstscript", "kernel_id": "96845"}, {"ref": "salami91280/create-dataset-with-tensorflow", "kernel_id": "128997"}, {"ref": "salami91280/notebook", "kernel_id": "128994"}, {"ref": "loicge/catsanddogs", "kernel_id": "98545"}, {"ref": "thulio/notebookcd0c3ae918", "kernel_id": "94393"}, {"ref": "sophiexxx/image-preprocessing-exploration-2", "kernel_id": "136283"}, {"ref": "sophiexxx/catdognet-keras-convnet-starter", "kernel_id": "148989"}, {"ref": "binilg/catdognet-keras-convnet-starter-623fcef5", "kernel_id": "104110"}, {"ref": "binilg/catdognet-keras-convnet-starter", "kernel_id": "103892"}, {"ref": "stayingfoolish/tensorflow-starter-kit-47d069e6", "kernel_id": "176915"}, {"ref": "stayingfoolish/tensorflow-starter-kit-544b2902", "kernel_id": "176749"}, {"ref": "stayingfoolish/tensorflow-starter-kit", "kernel_id": "176706"}, {"ref": "himnshu/notebooka37ab2f47a", "kernel_id": "182660"}, {"ref": "cvisger/notebookdf2b367705", "kernel_id": "99013"}, {"ref": "cvisger/tensorflow-starter-kit-fixed", "kernel_id": "192556"}, {"ref": "taqtaq11/notebook0d16ae22a1", "kernel_id": "139019"}, {"ref": "taqtaq11/notebook9dfdccb357", "kernel_id": "93824"}, {"ref": "shalteor/notebook1ec3835bd1", "kernel_id": "139020"}, {"ref": "leapingz/meow-meow", "kernel_id": "128897"}, {"ref": "staturecrane/notebook5cf7d031e6", "kernel_id": "93882"}, {"ref": "staturecrane/catdognet-keras-convnet-starter", "kernel_id": "159389"}, {"ref": "joachimr/notebook80a3943216", "kernel_id": "94109"}, {"ref": "joachimr/notebookd440fbe736", "kernel_id": "94153"}, {"ref": "zachaflo/notebookb36fcaaf4f", "kernel_id": "94395"}, {"ref": "alaershov/notebook44dad82485", "kernel_id": "98384"}, {"ref": "davidfumo/catdognet-keras-convnet-starter-0adcdc3f", "kernel_id": "178052"}, {"ref": "davidfumo/tensorflow-starter-kit", "kernel_id": "180057"}, {"ref": "davidfumo/catdognet-keras-convnet-starter-fcd000ce", "kernel_id": "180052"}, {"ref": "davidfumo/catdognet-keras-convnet-starter", "kernel_id": "130605"}, {"ref": "transedward/notebook76798965a8", "kernel_id": "107506"}, {"ref": "maggy96/notebookfb70be8602", "kernel_id": "119282"}, {"ref": "peachevil/notebook3a5aea293e", "kernel_id": "114484"}, {"ref": "tomdoerr96/catdognet-keras-convnet-starter", "kernel_id": "175929"}, {"ref": "pierretisseur/tensorflow-starter-kit-fixed", "kernel_id": "183727"}, {"ref": "heyavery/notebook551bba7f4b", "kernel_id": "103674"}, {"ref": "michaelwest/notebook674583cc27", "kernel_id": "114186"}, {"ref": "rojre1979/catdognet-keras-convnet-starter", "kernel_id": "174690"}, {"ref": "rojre1979/fork-of-catdognet-keras-convnet-starter", "kernel_id": "174802"}, {"ref": "rojre1979/tensorflow-starter-kit-fixed", "kernel_id": "187642"}, {"ref": "rojre1979/create-dataset-with-tensorflow", "kernel_id": "187838"}, {"ref": "therussianfella/notebooke8c2e9d9f7", "kernel_id": "162621"}, {"ref": "ayvintech/cattest", "kernel_id": "96672"}, {"ref": "tmizan/notebook25dd67e634", "kernel_id": "242709"}, {"ref": "ksvbist/dog-vs-cat-classification-using-cnn", "kernel_id": "97157"}, {"ref": "djovisic/catdognet-keras-convnet-starter", "kernel_id": "122044"}, {"ref": "scantrell/tensorflow-starter-kit", "kernel_id": "179305"}, {"ref": "lavande233/notebookdcd1790f1b", "kernel_id": "130168"}, {"ref": "k8280627/notebook13123c4ea3", "kernel_id": "97634"}, {"ref": "storma/catdognet-keras-convnet-starter", "kernel_id": "119301"}, {"ref": "froghop/dog-cat-kernel", "kernel_id": "97772"}, {"ref": "thomasjm/notebookf8257988b2", "kernel_id": "98349"}, {"ref": "nolanlee/catdognet-keras-convnet-starter-3191062f", "kernel_id": "125115"}, {"ref": "nolanlee/catdognet-keras-convnet-starter-93803182", "kernel_id": "124367"}, {"ref": "nolanlee/notebookf2f7e3eb6e", "kernel_id": "124350"}, {"ref": "junots/catdognet-keras-convnet-starter", "kernel_id": "127360"}, {"ref": "sfk19901129/notebookfc3923048e", "kernel_id": "125080"}, {"ref": "sfk19901129/notebook06d505dd74", "kernel_id": "125081"}, {"ref": "yotodragon/notebook6f134d9a4d", "kernel_id": "118247"}, {"ref": "jonschull/notebookb2b4b04d0b", "kernel_id": "99505"}, {"ref": "karetsu/catdognet-keras-convnet-starter", "kernel_id": "165148"}, {"ref": "roosterzeng/notebook9e6a05f8a5", "kernel_id": "99621"}, {"ref": "khorchanov/dogsvscats", "kernel_id": "136846"}, {"ref": "frankchen0130/catdognet-keras-convnet-starter", "kernel_id": "192558"}, {"ref": "shuwu01/notebook53e99c65f9", "kernel_id": "99853"}, {"ref": "sentdex/full-classification-example-with-convnet", "kernel_id": "192122"}, {"ref": "sentdex/notebooka59b292baa", "kernel_id": "192126"}, {"ref": "sentdex/notebook2dc4d22b83", "kernel_id": "192130"}, {"ref": "msugimura/catdognet-keras-convnet-starter", "kernel_id": "111712"}, {"ref": "ksemrau/dogs-vs-cats", "kernel_id": "141726"}, {"ref": "maluna/notebook85bffb58fd", "kernel_id": "121202"}, {"ref": "christianpoelitz/catdognet-keras-convnet-starter", "kernel_id": "100383"}, {"ref": "djsaunde/notebook9a99800c7e", "kernel_id": "159429"}, {"ref": "djsaunde/catdognet-keras-convnet-starter", "kernel_id": "159432"}, {"ref": "ayaseeli/cnn-cat-vs-dog", "kernel_id": "164050"}, {"ref": "amirzand/notebook77fb77b8d0", "kernel_id": "144662"}, {"ref": "amirzand/notebook01ab9c133f", "kernel_id": "145253"}, {"ref": "trizillian/notebookcfb8a67cae", "kernel_id": "102466"}, {"ref": "olegiv/notebook3996bb76ce", "kernel_id": "102283"}, {"ref": "iangarland/notebook8f1e390f86", "kernel_id": "102640"}, {"ref": "iangarland/cats-and-dogs", "kernel_id": "102635"}, {"ref": "iangarland/notebook8b5e3c0bb0", "kernel_id": "104420"}, {"ref": "iangarland/cats-2", "kernel_id": "114411"}, {"ref": "yingmango/catdognet-keras-convnet-starter-29b9d4", "kernel_id": "325075"}, {"ref": "sgirkin/notebook5a4594f434", "kernel_id": "103212"}, {"ref": "dnkrtz/notebook4a46c8e8a9", "kernel_id": "103396"}, {"ref": "bearjew/tensorflow-starter-kit-fixed", "kernel_id": "186121"}, {"ref": "untech/notebook732d1462de", "kernel_id": "103497"}, {"ref": "zfrysrylmz/notebookc5ae4a674d", "kernel_id": "132424"}, {"ref": "zfrysrylmz/catdognet-keras-convnet-starter", "kernel_id": "132426"}, {"ref": "zfrysrylmz/scvsavcse", "kernel_id": "165313"}, {"ref": "zfrysrylmz/catdognet-keras-convnet-starter-70e03c89", "kernel_id": "165311"}, {"ref": "zfrysrylmz/scvsavcs", "kernel_id": "165049"}, {"ref": "zfrysrylmz/cat-vs-dog", "kernel_id": "164097"}, {"ref": "zfrysrylmz/catdognet-keras-convnet-starter-56ba3ab8", "kernel_id": "166527"}, {"ref": "zfrysrylmz/fork-of-catdognet-keras-convnet-starter", "kernel_id": "165644"}, {"ref": "willzzz/notebook0224edc5f6", "kernel_id": "120019"}, {"ref": "fabiocappello/notebook13d45468ce", "kernel_id": "107643"}, {"ref": "iridescence/notebookd3858814f8", "kernel_id": "118297"}, {"ref": "nexusdevelopment/notebook162f7c7fbd", "kernel_id": "132105"}, {"ref": "mo03ib/notebookf900d54334", "kernel_id": "105806"}, {"ref": "anilosman/catdognet-keras-convnet-starter", "kernel_id": "120255"}, {"ref": "marcelolajr/notebooka35742cb39", "kernel_id": "119035"}, {"ref": "abnera/transfer-learning-keras-xception-cnn", "kernel_id": "177119"}, {"ref": "daisypan/notebookd9366f3d7d", "kernel_id": "223403"}, {"ref": "nicolasmon/notebook8aecce1361", "kernel_id": "212107"}, {"ref": "xiongzihua/tensorflow-starter-kit-fixed", "kernel_id": "202931"}, {"ref": "flerchy/notebook219d57e4f1", "kernel_id": "209290"}, {"ref": "jennytsang/catdognet-keras-convnet-starter", "kernel_id": "184984"}, {"ref": "tangsijian/notebook666031db6f", "kernel_id": "140158"}, {"ref": "nothxplz/cats-vs-dogs-05-pytorch-example", "kernel_id": "168745"}, {"ref": "nothxplz/notebook606747170b", "kernel_id": "168200"}, {"ref": "nothxplz/notebook506d3f3034", "kernel_id": "167403"}, {"ref": "marvinamo/tensorflow-starter-kit-fixed", "kernel_id": "191173"}, {"ref": "stansilas/catdognet-keras-convnet-starter", "kernel_id": "253582"}, {"ref": "mknippen/cat-dog-prediction", "kernel_id": "123916"}, {"ref": "huyifei/catdognet-keras-convnet-starter", "kernel_id": "173082"}, {"ref": "huyifei/catdognet-keras-convnet-starter-810dc7f7", "kernel_id": "183138"}, {"ref": "huyifei/catdognet-keras-convnet-starter-123a6b41", "kernel_id": "183106"}, {"ref": "cindyyao/dogvscat", "kernel_id": "114688"}, {"ref": "ariannabe/notebookb48203b4a8", "kernel_id": "118824"}, {"ref": "tooooom/notebooke78e15f60d", "kernel_id": "111018"}, {"ref": "pb3enguin/image-preprocessing-exploration-2", "kernel_id": "135658"}, {"ref": "jqadruddin/notebook5b29258342", "kernel_id": "111883"}, {"ref": "luckistruningaround/notebook8bae04b0f3", "kernel_id": "165031"}, {"ref": "srikanthpyaraka/catdognet-keras-convnet-starter", "kernel_id": "166979"}, {"ref": "zibu1234/notebook0c4b27b2b3", "kernel_id": "238679"}, {"ref": "hubert0527/catdognet-keras-convnet-starter", "kernel_id": "172491"}, {"ref": "attiaa13/dog-n-cat", "kernel_id": "112873"}, {"ref": "suanmiao/notebook9dac5f2220", "kernel_id": "167208"}, {"ref": "suanmiao/notebook5bda3f4ed7", "kernel_id": "167211"}, {"ref": "gologer28/notebook63701a82ca", "kernel_id": "113581"}, {"ref": "kmalakoff/notebook2090aff204", "kernel_id": "113058"}, {"ref": "spark007/catdognet-keras-convnet-starter-c823ca", "kernel_id": "184911"}, {"ref": "spark007/image-preprocessing-exploration-2", "kernel_id": "184945"}, {"ref": "spark007/catdognet-keras-convnet-starter", "kernel_id": "184202"}, {"ref": "spark007/catdognet-keras-convnet-starter-2b46c4", "kernel_id": "184207"}, {"ref": "spark007/catdognet-keras-convnet-starter-72189c", "kernel_id": "184210"}, {"ref": "spark007/catdognet-keras-convnet-starter-fb1230", "kernel_id": "184237"}, {"ref": "arthurherbout/notebook0935224624", "kernel_id": "141181"}, {"ref": "milad121/notebook467aefe8d7", "kernel_id": "192313"}, {"ref": "dipakchaudhari/notebook1dd2c65458", "kernel_id": "113917"}, {"ref": "recodera/notebook47a2a63bb1", "kernel_id": "193959"}, {"ref": "phenixi/catdognet-keras-convnet-starter", "kernel_id": "131846"}, {"ref": "phenixi/catdognet-keras", "kernel_id": "131974"}, {"ref": "phenixi/catdognet-keras-convnet-starter-2d95bc49", "kernel_id": "131936"}, {"ref": "wangcx969/testa", "kernel_id": "115437"}, {"ref": "jindaeguri/notebook283cf2e53e", "kernel_id": "222035"}, {"ref": "setuch/notebooka559279d01", "kernel_id": "171662"}, {"ref": "lhharris/cats-vs-dogs", "kernel_id": "115843"}, {"ref": "anniebourland/notebook9c53aa5466", "kernel_id": "141511"}, {"ref": "logartis/image-preprocessing-exploration-2", "kernel_id": "122679"}, {"ref": "tanjingvip/notebook274c3ce454", "kernel_id": "252256"}, {"ref": "tanjingvip/notebook2d0875afee", "kernel_id": "252257"}, {"ref": "tanjingvip/notebook87a955417f", "kernel_id": "252252"}, {"ref": "tanjingvip/notebookc74c2ce6ba", "kernel_id": "252648"}, {"ref": "zhuoliliang/dogs-vs-cats", "kernel_id": "174827"}, {"ref": "zhuoliliang/catdognet-keras-convnet-starter", "kernel_id": "174830"}, {"ref": "aowal095/catdognet-keras-convnet-starter", "kernel_id": "141690"}, {"ref": "jipannyc/notebook892f0bf7f5", "kernel_id": "116846"}, {"ref": "bmconrad/notebook5579dcb222", "kernel_id": "193070"}, {"ref": "bmconrad/bmconrad-hw9", "kernel_id": "193082"}, {"ref": "akihiro35/catdognet-keras-convnet-starter", "kernel_id": "132908"}, {"ref": "leonjc/catdognet-keras-convnet-starter", "kernel_id": "191789"}, {"ref": "reddisanjeevkumar/notebookf82b918f29", "kernel_id": "189527"}, {"ref": "reddisanjeevkumar/notebook05d7f4c34b", "kernel_id": "194854"}, {"ref": "reddisanjeevkumar/notebook945e6d0417", "kernel_id": "197895"}, {"ref": "kagglexiao/kaffle", "kernel_id": "119677"}, {"ref": "lukedong/dogvscattestfile", "kernel_id": "169834"}, {"ref": "yilmazgursoy/catdognet-keras-convnet-starter", "kernel_id": "118197"}, {"ref": "hiendoan/notebook1f9417ca04", "kernel_id": "118371"}, {"ref": "kritika6/notebook72e001c627", "kernel_id": "202066"}, {"ref": "xuhewen/notebook1ce4967d6f", "kernel_id": "138123"}, {"ref": "jcrowe/notebookb2f3d98da2", "kernel_id": "152122"}, {"ref": "jlw4192/let-s-figure-this-thing-out", "kernel_id": "128863"}, {"ref": "jlw4192/dogs-vs-cats-image-recognition", "kernel_id": "128854"}, {"ref": "bkraus/notebook2558c96d99", "kernel_id": "140573"}, {"ref": "ritashih/notebook0865e5f8cd", "kernel_id": "131668"}, {"ref": "yeats79/catdognet-keras-convnet-starter", "kernel_id": "131919"}, {"ref": "yeats79/catdognet-keras-convnet-starter-7bdbc262", "kernel_id": "131930"}, {"ref": "yeats79/catdognet-keras-convnet-starter-sample-code", "kernel_id": "131945"}, {"ref": "henryjon/notebook979eaa93b7", "kernel_id": "167804"}, {"ref": "truthwalker/notebookd960f8d027", "kernel_id": "194492"}, {"ref": "aberetta75/catdognet-keras-convnet-starter", "kernel_id": "124334"}, {"ref": "aberetta75/catdognet-keras-convnet-starter-0415d0c0", "kernel_id": "124335"}, {"ref": "emidzn/catdognet-keras-convnet-starter", "kernel_id": "124336"}, {"ref": "emidzn/image-preprocessing-exploration-2", "kernel_id": "124330"}, {"ref": "emidzn/image-preprocessing-exploration-2-be2146bd", "kernel_id": "124729"}, {"ref": "emidzn/image-preprocessing-exploration-2-1cc92f12", "kernel_id": "124717"}, {"ref": "emidzn/image-preprocessing-exploration-2-e3c9157d", "kernel_id": "124718"}, {"ref": "vinay6666/notebookdb04fe0bf8", "kernel_id": "133688"}, {"ref": "vinay6666/notebook49bc370256", "kernel_id": "133693"}, {"ref": "vinay6666/explore-cats-vs-dogs-images", "kernel_id": "129153"}, {"ref": "faheemt/notebookf63efdc43c", "kernel_id": "124612"}, {"ref": "neelu12/notebook7a1cab5837", "kernel_id": "169057"}, {"ref": "yimingf/catdognet-keras-convnet-starter", "kernel_id": "136022"}, {"ref": "kftse20031207/notebookb98913c7fc", "kernel_id": "126787"}, {"ref": "akan5938/notebook9e9a501f07", "kernel_id": "125146"}, {"ref": "bixiadaren/notebooke6dc549237", "kernel_id": "130778"}, {"ref": "campello/notebookaf1c494dba", "kernel_id": "242299"}, {"ref": "campello/test-notebook", "kernel_id": "128884"}, {"ref": "eastdong/notebook7618bcf5d8", "kernel_id": "139591"}, {"ref": "g7andpa/cat-dog-classification-using-sklearn", "kernel_id": "399129"}, {"ref": "imaginebruteforce/notebook6a6860a3ac", "kernel_id": "168873"}, {"ref": "imaginebruteforce/inception-v3-transfer-learning", "kernel_id": "168867"}, {"ref": "bjwang112006/mxnet-with-r-starter-kit", "kernel_id": "132796"}, {"ref": "mrstruggler/notebook6a6d5eaf7d", "kernel_id": "132651"}, {"ref": "mrstruggler/notebook7f309e1fe0", "kernel_id": "133249"}, {"ref": "mrstruggler/notebook5a68c5db79", "kernel_id": "133242"}, {"ref": "smolaxe/cats-vs-dogs", "kernel_id": "156276"}, {"ref": "smolaxe/notebookd8bcf862c4", "kernel_id": "156277"}, {"ref": "haichenliu/notebookd6095c5e1d", "kernel_id": "266813"}, {"ref": "changzhonghan/catdognet-keras-convnet-starter", "kernel_id": "134848"}, {"ref": "changzhonghan/catdognet-keras-convnet-starter-53cfc0e6", "kernel_id": "134849"}, {"ref": "mizuhohata/notebook705d4c5bbf", "kernel_id": "131785"}, {"ref": "mizuhohata/notebook3cf0303b26", "kernel_id": "131786"}, {"ref": "mizuhohata/test0", "kernel_id": "131781"}, {"ref": "blendfoo/notebookd28fd3463e", "kernel_id": "135043"}, {"ref": "cmwyss/notebook36b5edcf37", "kernel_id": "170556"}, {"ref": "neilslab/paint-your-catdog-in-tensorflow", "kernel_id": "303841"}, {"ref": "sergeykss/notebook4f8ef1ccf8", "kernel_id": "156382"}, {"ref": "sergeykss/notebook2bf3f75b1c", "kernel_id": "152684"}, {"ref": "artirj/notebookb38fb3264b", "kernel_id": "195254"}, {"ref": "stahamtan/logistic-regression-to-tell-cat-or-dog", "kernel_id": "595311"}, {"ref": "cgallay/cat-dog-notebook", "kernel_id": "152591"}, {"ref": "cgallay/cat-dog-convnet-notebook", "kernel_id": "156534"}, {"ref": "brbabu/notebookb44b7fa0ae", "kernel_id": "179150"}, {"ref": "lanestp/notebookb571c7924a", "kernel_id": "135094"}, {"ref": "delange/image-preprocessing-exploration-2", "kernel_id": "138433"}, {"ref": "drdanialrusdi/notebook436ead5c87", "kernel_id": "199367"}, {"ref": "drdanialrusdi/notebookead1467ca4", "kernel_id": "199375"}, {"ref": "jonlwowski012/notebook5401211fc5", "kernel_id": "172880"}, {"ref": "n0angel/notebook1ea316a336", "kernel_id": "146337"}, {"ref": "kaolian/notebookc775a26d1c", "kernel_id": "138363"}, {"ref": "mariekev93/full-classification-example-with-convnet", "kernel_id": "238083"}, {"ref": "lym531/notebook357d10dfe5", "kernel_id": "150401"}, {"ref": "irangaw/image-preprocessing-exploration-2-1bd8fd59", "kernel_id": "145527"}, {"ref": "noahsan/notebook5eee5e9780", "kernel_id": "139274"}, {"ref": "mathieuzaradzki/notebook1652db01db", "kernel_id": "174061"}, {"ref": "huguesp/notebooke4af557901", "kernel_id": "247866"}, {"ref": "cedeli/tesdt", "kernel_id": "142109"}, {"ref": "cedeli/notebook5f4d2ff3c8", "kernel_id": "142110"}, {"ref": "alphacome/notebook5720c3261c", "kernel_id": "159911"}, {"ref": "ainhoa2/mxnet-with-r-starter-kit", "kernel_id": "175358"}, {"ref": "oliver23/notebook8cf9dc9ea3", "kernel_id": "167751"}, {"ref": "chopivy/notebook79e2ebcea2", "kernel_id": "143136"}, {"ref": "sangeeeetha/notebook4e8f9d50e1", "kernel_id": "155800"}, {"ref": "stevende/notebook22220088b8", "kernel_id": "143238"}, {"ref": "oceanos/notebook1c12b6cdae", "kernel_id": "145501"}, {"ref": "oceanos/notebookd98103af97", "kernel_id": "143596"}, {"ref": "cnlilylin/catdognet-keras-convnet-starter", "kernel_id": "143890"}, {"ref": "jameschee0/firstpython", "kernel_id": "145167"}, {"ref": "daiearth22/catdognet-keras-convnet-starter", "kernel_id": "389292"}, {"ref": "tcode2k16/runner", "kernel_id": "145062"}, {"ref": "sumanth123/cats-rock-all-the-way", "kernel_id": "178865"}, {"ref": "sumanth123/dry-run", "kernel_id": "222729"}, {"ref": "thabet/image-preprocessing-exploration-2", "kernel_id": "151565"}, {"ref": "ikovrigin/notebookfe29dba7d4", "kernel_id": "146710"}, {"ref": "newriverchan/catdognet-keras-convnet-starter", "kernel_id": "185147"}, {"ref": "eutectic/notebook9bbf503f22", "kernel_id": "166032"}, {"ref": "sundow/notebook842b7449c1", "kernel_id": "209592"}, {"ref": "sundow/all-convnet", "kernel_id": "217306"}, {"ref": "indraforyou/notebook3ba9b66453", "kernel_id": "146860"}, {"ref": "bookazoid/notebook4a3667b1b7", "kernel_id": "148569"}, {"ref": "porie334/notebook204bd878f4", "kernel_id": "155641"}, {"ref": "kevin24816/catdognet-keras-convnet-starter-8d4cf5b2", "kernel_id": "183161"}, {"ref": "kevin24816/catdognet-keras-convnet-starter", "kernel_id": "183158"}, {"ref": "xiaov58/notebooka1c1edfaf7", "kernel_id": "150099"}, {"ref": "narenst/notebooktest", "kernel_id": "221331"}, {"ref": "ptqaml/notebook1328547074", "kernel_id": "149072"}, {"ref": "edwardliu573/catdognet-keras-convnet-starter", "kernel_id": "153139"}, {"ref": "edwardliu573/notebook08e661f1b0", "kernel_id": "153130"}, {"ref": "gesman/test-1", "kernel_id": "152119"}, {"ref": "ecnuykh/catdognet-keras-convnet-starter", "kernel_id": "182567"}, {"ref": "ecnuykh/catdognet-keras-convnet-starter-b10a4f", "kernel_id": "190966"}, {"ref": "mattslight/notebookd1c44e0f22", "kernel_id": "152377"}, {"ref": "mattslight/notebookaeb8d9b055", "kernel_id": "152378"}, {"ref": "variablelink/cnn-001", "kernel_id": "151830"}, {"ref": "nickatkaggle/catdognet-keras-convnet-starter", "kernel_id": "187272"}, {"ref": "contractorwolf/notebookc43b4b5088", "kernel_id": "232537"}, {"ref": "csvreel/notebook5c8ec27b73", "kernel_id": "164964"}, {"ref": "billbirdy/catdognet-keras-convnet-starter", "kernel_id": "158086"}, {"ref": "jinzhouz/notebookeb51991a58", "kernel_id": "168291"}, {"ref": "germanmad/catdognet-keras-convnet-starter", "kernel_id": "157751"}, {"ref": "scascar/catdognet-keras-convnet-starter", "kernel_id": "163566"}, {"ref": "bmabir17/cats-dogs-classify-using-keras", "kernel_id": "187713"}, {"ref": "vishalagarwal2708/notebook3bc3f84aae", "kernel_id": "223140"}, {"ref": "pachinko/notebook8d5b9bb642", "kernel_id": "229885"}, {"ref": "hira221/create-dataset-with-tensorflow-d08ec681", "kernel_id": "162514"}, {"ref": "hira221/create-dataset-with-tensorflow", "kernel_id": "162496"}, {"ref": "bstrawson/notebookff23584cdb", "kernel_id": "160658"}, {"ref": "heeroz/notebookbff0e033aa", "kernel_id": "201935"}, {"ref": "jnfitzpa/notebook16f40caf01", "kernel_id": "193589"}, {"ref": "namespacev/notebook2adcbacc6c", "kernel_id": "181195"}, {"ref": "finderskeepers/tensorflow-starter-kit", "kernel_id": "181517"}, {"ref": "finderskeepers/tensorflow-starter-kit-269d62aa", "kernel_id": "181522"}, {"ref": "finderskeepers/tensorflow-starter-kit-93753c3f", "kernel_id": "181524"}, {"ref": "finderskeepers/catdognet-keras-convnet-starter", "kernel_id": "181528"}, {"ref": "rolypolyvg295/notebookf6b67ba9c5", "kernel_id": "177993"}, {"ref": "silentsparrow/catdognet-keras-convnet-starter", "kernel_id": "193598"}, {"ref": "silentsparrow/notebook1d71cd035b", "kernel_id": "193586"}, {"ref": "silentsparrow/ssparrow-cats-vs-dogs", "kernel_id": "200664"}, {"ref": "brown471/cats-dogs-brown", "kernel_id": "200431"}, {"ref": "brown471/submission", "kernel_id": "193630"}, {"ref": "brown471/cats-and-dogs-brown", "kernel_id": "193714"}, {"ref": "brown471/notebook3eaaacaa65", "kernel_id": "193723"}, {"ref": "brown471/notebookbad593148e", "kernel_id": "193725"}, {"ref": "atapper/adamta", "kernel_id": "193362"}, {"ref": "atapper/notebook99559d1506", "kernel_id": "193269"}, {"ref": "ekraihan/notebook3b67a52c74", "kernel_id": "193634"}, {"ref": "ekraihan/catdognet-keras-convnet-starter", "kernel_id": "193662"}, {"ref": "ekraihan/notebooka60e975ec0", "kernel_id": "241749"}, {"ref": "ekraihan/notebooke884d812cf", "kernel_id": "241750"}, {"ref": "omega001/helloworld", "kernel_id": "162492"}, {"ref": "omega001/notebook18a89dacbc", "kernel_id": "162493"}, {"ref": "jcarillo/catdog", "kernel_id": "193461"}, {"ref": "jtwessel/notebookebf8256100", "kernel_id": "193581"}, {"ref": "jtwessel/notebookb09c11e336", "kernel_id": "193582"}, {"ref": "jtwessel/notebook74d32c4276", "kernel_id": "193575"}, {"ref": "jtwessel/dogcattitle", "kernel_id": "193576"}, {"ref": "jtwessel/notebook5db5141d74", "kernel_id": "193559"}, {"ref": "jtwessel/notebookb9a7f36869", "kernel_id": "193547"}, {"ref": "jtwessel/notebookdf3a76d559", "kernel_id": "193533"}, {"ref": "jtwessel/joewessel-modifiedjeffdelaney-skernel", "kernel_id": "193686"}, {"ref": "jtwessel/catdog-jwessel", "kernel_id": "201492"}, {"ref": "nickbol/bol-hw9", "kernel_id": "199877"}, {"ref": "nickbol/bolhw9", "kernel_id": "193030"}, {"ref": "jpcarnag/catdog", "kernel_id": "193024"}, {"ref": "jpcarnag/catvsdogscript", "kernel_id": "193254"}, {"ref": "jpcarnag/cat-vs-dog", "kernel_id": "193626"}, {"ref": "patelnes/notebookfd1d5ee62d", "kernel_id": "193641"}, {"ref": "patelnes/cd12345", "kernel_id": "198471"}, {"ref": "creiharr/catdog", "kernel_id": "200432"}, {"ref": "creiharr/creighton-catdog", "kernel_id": "200659"}, {"ref": "creiharr/notebook2f4841dd9b", "kernel_id": "193782"}, {"ref": "glunford/hw9-competition", "kernel_id": "193640"}, {"ref": "talbalaw/notebook207db1c033", "kernel_id": "199940"}, {"ref": "talbalaw/ontwothee", "kernel_id": "199982"}, {"ref": "talbalaw/onet55", "kernel_id": "201461"}, {"ref": "talbalaw/notebookc68770431b", "kernel_id": "201459"}, {"ref": "talbalaw/catdogs", "kernel_id": "201481"}, {"ref": "dudikov/notebooked758faefd", "kernel_id": "162842"}, {"ref": "spencerc99/catdognet-keras-convnet-starter", "kernel_id": "177676"}, {"ref": "spencerc99/catdognet-keras-convnet-starter-experiment", "kernel_id": "177678"}, {"ref": "spencerc99/dog-vs-cat", "kernel_id": "174841"}, {"ref": "spencerc99/catdognet-keras-convnet-starter-45949e1b", "kernel_id": "183675"}, {"ref": "edvinus/dogs-n-cats-my-first-neuralnet", "kernel_id": "193438"}, {"ref": "seanlatulippe/notebooka99b7a1c31", "kernel_id": "193044"}, {"ref": "grindean/catdogs", "kernel_id": "193636"}, {"ref": "grindean/catdognet-keras-convnet-starter", "kernel_id": "193655"}, {"ref": "bertah/notebook1ab86ad002", "kernel_id": "164548"}, {"ref": "uygnef/notebookeecc5f98bc", "kernel_id": "170851"}, {"ref": "uygnef/notebook92efaa690d", "kernel_id": "170852"}, {"ref": "uygnef/notebook606f3ae605", "kernel_id": "170844"}, {"ref": "uygnef/notebook38acae5c61", "kernel_id": "170845"}, {"ref": "uygnef/first-step", "kernel_id": "170854"}, {"ref": "m6tian/notebookcbe6eafbc7", "kernel_id": "202649"}, {"ref": "algroznykh/catdognet-keras-convnet-starter", "kernel_id": "187835"}, {"ref": "calebelliott/notebook4ddd9475ac", "kernel_id": "193015"}, {"ref": "calebelliott/homework-9", "kernel_id": "193017"}, {"ref": "jamesnguyen/cnn-cat-dog", "kernel_id": "254884"}, {"ref": "jfv1995/notebook-py2", "kernel_id": "193335"}, {"ref": "jfv1995/fork-of-notebook34c39df4b8", "kernel_id": "193313"}, {"ref": "jfv1995/notebook34c39df4b8", "kernel_id": "193174"}, {"ref": "haeinkim/notebook30122d6e0f", "kernel_id": "173341"}, {"ref": "ishigami/notebooka5b2d7bcb5", "kernel_id": "165624"}, {"ref": "hstove/notebookbd85c9c444", "kernel_id": "165916"}, {"ref": "hiranumn/notebookc504c20576", "kernel_id": "172709"}, {"ref": "pierremennesson/notebookb616b7c704", "kernel_id": "193061"}, {"ref": "wanghanzhi/cat-dog-notebook", "kernel_id": "173349"}, {"ref": "yannickqi/notebook546495ac57", "kernel_id": "170753"}, {"ref": "yannickqi/notebooke89281c0ae", "kernel_id": "170754"}, {"ref": "mmoosaei/notebook1278fc4911", "kernel_id": "167901"}, {"ref": "dorthyflowers/notebook76b833388a", "kernel_id": "169686"}, {"ref": "hcaiaa/catdognet-keras-convnet-starter", "kernel_id": "173160"}, {"ref": "tig888/image-preprocessing-exploration-2", "kernel_id": "171487"}, {"ref": "bassamk/notebookcdc7835d21", "kernel_id": "181595"}, {"ref": "janlcy/cats-vs-dogs-lasagne-convolutional-network", "kernel_id": "189666"}, {"ref": "gunnyliu/catdognet-keras-convnet-starter-b2f5498e", "kernel_id": "173107"}, {"ref": "gunnyliu/notebookffa56f41f4", "kernel_id": "183107"}, {"ref": "gunnyliu/catdognet-keras-convnet-starter-f77190ea", "kernel_id": "183116"}, {"ref": "gunnyliu/image-preprocessing-exploration-2-f8a7c646", "kernel_id": "183135"}, {"ref": "gunnyliu/image-preprocessing-exploration-2", "kernel_id": "183130"}, {"ref": "ecparmelee/catdog", "kernel_id": "169090"}, {"ref": "patelkevin/dogscats-vs-keras", "kernel_id": "177484"}, {"ref": "patelkevin/image-preprocessing-exploration-2", "kernel_id": "183526"}, {"ref": "attilakreiner/notebookd1adf2ae71", "kernel_id": "169405"}, {"ref": "rezamm/notebookbc22b89c9e", "kernel_id": "170058"}, {"ref": "ugoborrey/notebooke7d21559fe", "kernel_id": "176576"}, {"ref": "darragjm/notebook0ded2f0afe", "kernel_id": "170336"}, {"ref": "nightfantom/dogs-vs-cats-tensorflow", "kernel_id": "310954"}, {"ref": "wyyualan/notebook0054a2faee", "kernel_id": "170916"}, {"ref": "wyyualan/notebook09ac411336", "kernel_id": "170922"}, {"ref": "sagiror/notebookc8a084f29d", "kernel_id": "171023"}, {"ref": "sams487/tensorflow-starter-kit-please-assist", "kernel_id": "172249"}, {"ref": "sams487/tensorflow-starter-kit", "kernel_id": "178607"}, {"ref": "vagonzalez/catdognet-keras-convnet-starter", "kernel_id": "183155"}, {"ref": "talhazza/cnn-cat-dog", "kernel_id": "201467"}, {"ref": "talhazza/notebook3366247917", "kernel_id": "201469"}, {"ref": "talhazza/cats123", "kernel_id": "201471"}, {"ref": "talhazza/notebook0bc0208a5b", "kernel_id": "200005"}, {"ref": "gvacaliuc/catdognet-keras-convnet-starter", "kernel_id": "184068"}, {"ref": "jdduryea/notebook49c357d031", "kernel_id": "173851"}, {"ref": "maxschneider/cat-dog-notebook", "kernel_id": "172559"}, {"ref": "pedroarangel/tensorflow-starter-kit-fixed", "kernel_id": "225162"}, {"ref": "pedroarangel/fork-of-tensorflow-starter-kit-fixed-83c1a5", "kernel_id": "231495"}, {"ref": "vshevche/catdognet-keras-convnet-starter", "kernel_id": "173012"}, {"ref": "fox10225fox/use-vgg16-model-with-keras", "kernel_id": "243696"}, {"ref": "dfscott25/notebooka4f700a2db", "kernel_id": "193022"}, {"ref": "dfscott25/doggy", "kernel_id": "193056"}, {"ref": "r2akshay/notebooka992ae2a0c", "kernel_id": "193693"}, {"ref": "r2akshay/kumar-script", "kernel_id": "201361"}, {"ref": "machineloving/notebook74dfff8539", "kernel_id": "230026"}, {"ref": "iolaire/cat-v-dog-io1", "kernel_id": "174869"}, {"ref": "iolaire/notebook96acd31367", "kernel_id": "177166"}, {"ref": "drichlet/notebook99d2f69edd", "kernel_id": "202475"}, {"ref": "nayanam/notebook6b254e51f4", "kernel_id": "174991"}, {"ref": "elm200/catdognet-keras-convnet-starter-925ae5", "kernel_id": "264662"}, {"ref": "trungkak/notebook7515a86a2f", "kernel_id": "187028"}, {"ref": "piyush28/dogvscat-0-08-log-loss-in-1-epoch", "kernel_id": "512983"}, {"ref": "chuanhaoli/notebook956748355e", "kernel_id": "195794"}, {"ref": "starry1992/notebook26174c36ad", "kernel_id": "184665"}, {"ref": "acroock/inception-retrained", "kernel_id": "182874"}, {"ref": "dmytrosh/notebook8dea3abdc1", "kernel_id": "179144"}, {"ref": "pinetree408/tensortest", "kernel_id": "180001"}, {"ref": "pinetree408/test12355", "kernel_id": "180028"}, {"ref": "pinetree408/notebookc8e45f3106", "kernel_id": "180037"}, {"ref": "pinetree408/notebookb8c60efe01", "kernel_id": "180031"}, {"ref": "pinetree408/notebook72835296d9", "kernel_id": "180044"}, {"ref": "pinetree408/notebooka4b1adb93f", "kernel_id": "180045"}, {"ref": "pinetree408/notebook4cebe161d5", "kernel_id": "179956"}, {"ref": "pinetree408/notebookb42b6a1785", "kernel_id": "179957"}, {"ref": "pinetree408/notebook2ac87202db", "kernel_id": "180766"}, {"ref": "pinetree408/tensorflow-starter-kit", "kernel_id": "179775"}, {"ref": "pinetree408/testee", "kernel_id": "179771"}, {"ref": "colin25346/notebook045dfdda40", "kernel_id": "197711"}, {"ref": "kchoi9/tensorflow-starter-kit-fixed-cad413", "kernel_id": "193256"}, {"ref": "kchoi9/tensorflow-starter-kit-fixed", "kernel_id": "193247"}, {"ref": "kchoi9/catdognet-keras-convnet-starter-22ad1c", "kernel_id": "193243"}, {"ref": "kchoi9/tensorflow-starter-kit-fixed-6d3793", "kernel_id": "193301"}, {"ref": "kchoi9/tensorflow-starter-kit-fixed-f95004", "kernel_id": "193261"}, {"ref": "barslmn/title", "kernel_id": "193435"}, {"ref": "nicogreg23/catdognet-keras-convnet-starter", "kernel_id": "181901"}, {"ref": "nicogreg23/notebook865ca29edd", "kernel_id": "181893"}, {"ref": "bschrift/notebook53e28abf1e", "kernel_id": "187596"}, {"ref": "bschrift/notebook4917c8964b", "kernel_id": "187598"}, {"ref": "bschrift/attempt-1", "kernel_id": "187599"}, {"ref": "gurpreet395/catdognet-keras-convnet-starter", "kernel_id": "182911"}, {"ref": "agnimon/notebookcc8a7ffee1", "kernel_id": "191590"}, {"ref": "mlsawyer/tensorflow-starter-kit", "kernel_id": "182850"}, {"ref": "mlsawyer/image-preprocessing-exploration-2", "kernel_id": "182880"}, {"ref": "mlsawyer/catdognet-keras-convnet-starter", "kernel_id": "182882"}, {"ref": "mlsawyer/create-dataset-with-tensorflow", "kernel_id": "182894"}, {"ref": "jianghuiying/notebook0953735450", "kernel_id": "266210"}, {"ref": "jianghuiying/notebook39a5331223", "kernel_id": "265470"}, {"ref": "emsiak/cat-fish", "kernel_id": "193086"}, {"ref": "emsiak/notebookd9195e6a50", "kernel_id": "193077"}, {"ref": "emsiak/preprocessing", "kernel_id": "200420"}, {"ref": "emsiak/notebook89510fadcd", "kernel_id": "201983"}, {"ref": "lampertb/catdognet-keras-convnet-starter", "kernel_id": "183924"}, {"ref": "frontierdave/mxnet-with-r-starter-kit", "kernel_id": "184099"}, {"ref": "time1ess/notebookda0bdeb2d9", "kernel_id": "270378"}, {"ref": "icexin/notebook917e60ff4c", "kernel_id": "184211"}, {"ref": "cailizhang/notebookd2f6076a09", "kernel_id": "253684"}, {"ref": "cocowaffle/catdognet-keras-convnet-starter", "kernel_id": "224150"}, {"ref": "cocowaffle/fork-of-catdognet-keras-convnet-starter", "kernel_id": "227483"}, {"ref": "devill/notebook6a276460e5", "kernel_id": "190160"}, {"ref": "ebysofyan/notebook26c23a4640", "kernel_id": "185241"}, {"ref": "lemuelbarango/notebook851bfce73f", "kernel_id": "191363"}, {"ref": "lemuelbarango/cloning-vgg-16-model", "kernel_id": "189831"}, {"ref": "phelmphelm/notebook85ddf02afb", "kernel_id": "187139"}, {"ref": "akashrehan/tensorflow-starter-kit-fixed", "kernel_id": "188170"}, {"ref": "akashrehan/catdognet-keras-convnet-starter-441671", "kernel_id": "191128"}, {"ref": "akashrehan/catdognet-keras-convnet-starter-3f569c", "kernel_id": "191149"}, {"ref": "akashrehan/catdognet-keras-convnet-starter", "kernel_id": "191124"}, {"ref": "pyobro/notebook39504779e1", "kernel_id": "208579"}, {"ref": "pyobro/notebook1dae313af7", "kernel_id": "226998"}, {"ref": "derfei/tensorflow-starter-kit-fixed", "kernel_id": "194026"}, {"ref": "tangjm/notebookd0e533113a", "kernel_id": "273341"}, {"ref": "dimalo/image-preprocessing-exploration-2", "kernel_id": "188375"}, {"ref": "lwang2017/notebooka7df8e1c70", "kernel_id": "204188"}, {"ref": "jackgu/catdognet-keras-convnet-starter", "kernel_id": "192550"}, {"ref": "jjj8080/notebook625bbc0712", "kernel_id": "193161"}, {"ref": "jodekirk/tensorflow-starter-kit-fixed", "kernel_id": "194316"}, {"ref": "jodekirk/notebooke908d0c388", "kernel_id": "194204"}, {"ref": "nikhilpandey360/notebook0831316f38", "kernel_id": "194314"}, {"ref": "nikhilpandey360/notebooka3f3a00b51", "kernel_id": "194834"}, {"ref": "lrj509/notebookd2c07b71eb", "kernel_id": "194353"}, {"ref": "lrj509/notebookde936df28d", "kernel_id": "194330"}, {"ref": "jianglihui0330/notebook6b550c04c4", "kernel_id": "194825"}, {"ref": "jianglihui0330/notebook765c9114f1", "kernel_id": "194946"}, {"ref": "jianglihui0330/vgg16-py", "kernel_id": "195723"}, {"ref": "jianglihui0330/notebook7b7692b83a", "kernel_id": "195724"}, {"ref": "aivrlabs/notebookc6794f0b5c", "kernel_id": "195704"}, {"ref": "kamal2611/basic-binary-logistic-regression-on-image", "kernel_id": "370651"}, {"ref": "jianyu/notebook35df162da0", "kernel_id": "218018"}, {"ref": "khanhnd/notebookb048f8ca10", "kernel_id": "197302"}, {"ref": "flevern/tensorflow-starter-kit-fixed", "kernel_id": "214240"}, {"ref": "kerymu/first-experience", "kernel_id": "212926"}, {"ref": "jiahangtian/catdognet-keras-convnet-starter", "kernel_id": "200841"}, {"ref": "lakamp/classification-of-canines-and-felines", "kernel_id": "245139"}, {"ref": "parthsr/notebook47bc8ec949", "kernel_id": "203104"}, {"ref": "parthsr/notebook671d91ce2b", "kernel_id": "203101"}, {"ref": "mattcallanan/notebook9472b6fea1", "kernel_id": "201152"}, {"ref": "feldi1963/feldis-cats-and-dogs", "kernel_id": "214748"}, {"ref": "adamzhang129/notebook938726fbc3", "kernel_id": "202384"}, {"ref": "biglet/notebook9cb300af36", "kernel_id": "220636"}, {"ref": "souvik287/notebook0c4ced66b7", "kernel_id": "217514"}, {"ref": "souvik287/notebook37a1ddf5e4", "kernel_id": "217515"}, {"ref": "souvik287/notebookd5d2f19b0b", "kernel_id": "203021"}, {"ref": "souvik287/notebook9bc67529e6", "kernel_id": "203024"}, {"ref": "souvik287/notebookfa22b24119", "kernel_id": "203154"}, {"ref": "souvik287/notebook556573c4a9", "kernel_id": "203152"}, {"ref": "souvik287/notebookfa27c545c9", "kernel_id": "203191"}, {"ref": "rajarazack/notebook2c1394b397", "kernel_id": "252035"}, {"ref": "bfikse/notebookcc8f3629cf", "kernel_id": "223224"}, {"ref": "jesyfax/notebook4b15217471", "kernel_id": "261751"}, {"ref": "jesyfax/cats-and-dogs", "kernel_id": "261743"}, {"ref": "chanatip/notebookd7c8b0f4ba", "kernel_id": "204866"}, {"ref": "chabalala/notebook8572f58e22", "kernel_id": "205078"}, {"ref": "mlinaction/notebookce6ddd0f1b", "kernel_id": "205637"}, {"ref": "dhineshraja3491/notebook75485aa732", "kernel_id": "208941"}, {"ref": "cgomes/notebookda19f44fb3", "kernel_id": "231592"}, {"ref": "ericmulvihill/notebooke586d58ff3", "kernel_id": "244762"}, {"ref": "jiangpenghui/notebook7d5b1a28d8", "kernel_id": "210359"}, {"ref": "martinbrooks/full-classification-example-with-convnet", "kernel_id": "228189"}, {"ref": "jiangzhiping/create-dataset-with-tensorflow", "kernel_id": "275909"}, {"ref": "jiangzhiping/catdogvgg", "kernel_id": "275919"}, {"ref": "rymondcheng007/notebookb8d8164151", "kernel_id": "226453"}, {"ref": "jagratishivhare/notebook9311612636", "kernel_id": "215368"}, {"ref": "jagratishivhare/notebook68ce60fb31", "kernel_id": "215396"}, {"ref": "jagratishivhare/notebook73056def85", "kernel_id": "213031"}, {"ref": "jagratishivhare/notebook20cded128d", "kernel_id": "213019"}, {"ref": "jagratishivhare/notebooke7c5e5ef6a", "kernel_id": "213021"}, {"ref": "cudlenconick/notebook9590d054e4", "kernel_id": "212978"}, {"ref": "longerhaha/notebook220fba5131", "kernel_id": "220131"}, {"ref": "theoutsider/notebookde7488ba4d", "kernel_id": "214117"}, {"ref": "theoutsider/notebook919d04f177", "kernel_id": "237635"}, {"ref": "hohenheim/sdfsfsdf", "kernel_id": "214872"}, {"ref": "kellylinkaylin/notebook665437d3c3", "kernel_id": "215060"}, {"ref": "kellylinkaylin/notebook9cbfb77e21", "kernel_id": "215061"}, {"ref": "czhaoam/notebook9d87e2c923", "kernel_id": "216215"}, {"ref": "bsamuels/notebookdb3c05f6e4", "kernel_id": "227568"}, {"ref": "bsamuels/notebook1dace54efa", "kernel_id": "227566"}, {"ref": "djay100/notebookc8b937c93b", "kernel_id": "267357"}, {"ref": "jcheoi/notebook5e35936608", "kernel_id": "222473"}, {"ref": "dksush/notebookc5a086c40b", "kernel_id": "221149"}, {"ref": "dksush/notebook8071f0cdd8", "kernel_id": "221150"}, {"ref": "dksush/notebook9273959270", "kernel_id": "221147"}, {"ref": "mshadbolt/my-first-kaggle", "kernel_id": "223166"}, {"ref": "mshadbolt/dogs-vs-cats", "kernel_id": "223159"}, {"ref": "byankca/notebook9c68ba86fe", "kernel_id": "221836"}, {"ref": "hautel/dogs-vs-cats-work", "kernel_id": "222242"}, {"ref": "andyxie/keras-neural-network-classification-101", "kernel_id": "405057"}, {"ref": "togheppi/notebook03d35f2e0c", "kernel_id": "222738"}, {"ref": "togheppi/notebook02bc02381d", "kernel_id": "222731"}, {"ref": "togheppi/tensorflow-test", "kernel_id": "222733"}, {"ref": "thuyangyu/notebook44edd26c85", "kernel_id": "222399"}, {"ref": "adeluna/notebook8f13f14280", "kernel_id": "222555"}, {"ref": "zjtisme/learning", "kernel_id": "225681"}, {"ref": "afakharany93/notebook182f4e9445", "kernel_id": "226565"}, {"ref": "hughfm/notebookd85179b0c7", "kernel_id": "262929"}, {"ref": "mrpolitegrizly/notebookd9fab29e78", "kernel_id": "230281"}, {"ref": "mrpolitegrizly/notebook4fd5fc9427", "kernel_id": "230282"}, {"ref": "howon92/notebook8859199b28", "kernel_id": "230113"}, {"ref": "blackthunder98/notebookebe3d1c378", "kernel_id": "230506"}, {"ref": "dragoss/notebook233bb8e73a", "kernel_id": "248266"}, {"ref": "mparker3/notebook49becbd434", "kernel_id": "245745"}, {"ref": "prasadsawant/dogs-vs-cats", "kernel_id": "267695"}, {"ref": "lisnaity6/notebook1cd7d14605", "kernel_id": "234313"}, {"ref": "yobraveyo/notebook6bc09f05f5", "kernel_id": "234351"}, {"ref": "zer0zh1/notebook9fbd7a1394", "kernel_id": "240398"}, {"ref": "suheylemre/notebook1f70bc0903", "kernel_id": "246546"}, {"ref": "niiyue/notebookace6d155ec", "kernel_id": "241932"}, {"ref": "calebtkyle/notebookea649a171b", "kernel_id": "242344"}, {"ref": "murphydavis/notebookb25d14c801", "kernel_id": "243982"}, {"ref": "dineepthomas26/tensorflow-starter-kit-dineep", "kernel_id": "351861"}, {"ref": "dineepthomas26/solution-dogs-vs-cats-dineep", "kernel_id": "363913"}, {"ref": "talhasajjad77/notebooka73af55281", "kernel_id": "248362"}, {"ref": "rolord/notebook13355985f5", "kernel_id": "248836"}, {"ref": "fredmorton/notebookc9b83989da", "kernel_id": "254763"}, {"ref": "enochsaga/catdognet-keras-convnet-starter-xavier-model-1", "kernel_id": "270272"}, {"ref": "janfrs3/cats-and-dogs", "kernel_id": "278076"}, {"ref": "freelancerhu/notebookb713e1c324", "kernel_id": "268610"}, {"ref": "jessicanyc/notebook8782cd8909", "kernel_id": "269768"}, {"ref": "jainshreya1997/keras", "kernel_id": "375299"}, {"ref": "jainshreya1997/catdognet-keras-convnet-starter", "kernel_id": "376004"}, {"ref": "manishankarbalu/notebookd4274797a9", "kernel_id": "273673"}, {"ref": "ralitsaaa/dogs-vs-cats", "kernel_id": "277125"}, {"ref": "gullesnuffs/notebook1175ba1ebd", "kernel_id": "277696"}, {"ref": "kseniademska/notebook4c192b7bc5", "kernel_id": "278783"}, {"ref": "appinventorpak1/keras-image-augmantation-library", "kernel_id": "842756"}, {"ref": "joshuabeard/cats-v-dogs-cnn", "kernel_id": "308133"}, {"ref": "sathish97rockz/90-accuracy", "kernel_id": "292895"}, {"ref": "mtax687/neural-network-using-tensorflow", "kernel_id": "366132"}, {"ref": "mtax687/data-preparation-with-tensorflow", "kernel_id": "362348"}, {"ref": "mtax687/data-preparation-with-graphlab-create", "kernel_id": "362588"}, {"ref": "mtax687/data-preparation-with-cv2", "kernel_id": "362265"}, {"ref": "mtax687/l-layer-neural-network-using-numpy", "kernel_id": "531624"}, {"ref": "mtax687/single-layer-neural-network-using-numpy", "kernel_id": "513276"}, {"ref": "mtax687/logistic-regression-using-numpy", "kernel_id": "513440"}, {"ref": "mtax687/nn-with-different-optimization-methods-using-numpy", "kernel_id": "542983"}, {"ref": "mtax687/l2-regularization-of-neural-network-using-numpy", "kernel_id": "539624"}, {"ref": "mtax687/dropout-regularization-of-neural-net-using-numpy", "kernel_id": "539437"}, {"ref": "yassineghouzam/dogs-cats-aren-t-enough-object-recognition", "kernel_id": "317823"}, {"ref": "utkarshmalik211/dogcat", "kernel_id": "524189"}, {"ref": "chrundle/dogs-vs-cats-convolutional-neural-network", "kernel_id": "597662"}, {"ref": "cescvietnam/dogs-vs-cats-classification-using-cnn-from-tflearn", "kernel_id": "323848"}, {"ref": "david26694/cats-and-dogs-with-tf", "kernel_id": "829467"}, {"ref": "dromosys/dogs-vs-cats-keras-v2", "kernel_id": "349758"}, {"ref": "dromosys/dogs-vs-cats-keras", "kernel_id": "349056"}, {"ref": "raphaelsourty/atchoum-the-cat-cnn", "kernel_id": "904412"}, {"ref": "josecyn/dogs-vs-cats-inceptionv3-w-keras", "kernel_id": "745754"}, {"ref": "hk1997/catsvsdogs", "kernel_id": "505469"}, {"ref": "hk1997/dogs-k3", "kernel_id": "506098"}, {"ref": "chunleideep/tensorflow-starter-kit-fixed", "kernel_id": "358189"}, {"ref": "ransomde/deep-cnn", "kernel_id": "417203"}, {"ref": "jiangzuo/1-10-deep-learning-cats-dogs", "kernel_id": "520090"}, {"ref": "jiangzuo/1-10-deep-learning-cats-dogs-homework", "kernel_id": "520117"}, {"ref": "shishirbharti/catdognet-keras-convnet-starter", "kernel_id": "527678"}, {"ref": "paultimothymooney/reorganize-data-with-symbolic-links", "kernel_id": "927436"}, {"ref": "gsathish987/prediction-of-cats-and-dogs", "kernel_id": "823458"}, {"ref": "kantarr/classification-of-cats-and-dogs", "kernel_id": "946492"}, {"ref": "madpiano/cats-dogs-deep-learning", "kernel_id": "827842"}, {"ref": "srinivasmj/image-augumentation-pred-for-cats-vs-dogs", "kernel_id": "487987"}, {"ref": "moseswong33/full-classification-example-with-convnet-eb8756", "kernel_id": "511717"}, {"ref": "iacnehc/dog-and-cat", "kernel_id": "516054"}, {"ref": "sushantjha8/dog-and-cat-full-classification", "kernel_id": "816003"}, {"ref": "sarvajna/dogs-vs-cats-keras-solution", "kernel_id": "531265"}, {"ref": "sarvajna/standard-neural-network-using-tensorflow", "kernel_id": "687648"}, {"ref": "ryanmarfty/extracting-feature-by-vgg19", "kernel_id": "699634"}, {"ref": "ryanmarfty/dogcat-res50", "kernel_id": "687123"}, {"ref": "escalante/cats-dogs-alexnet", "kernel_id": "909205"}, {"ref": "pankrzysiu/dogs-vs-cats-dl-with-py-book", "kernel_id": "544240"}, {"ref": "frkhit/notebook5eee6973c8", "kernel_id": "558479"}, {"ref": "thekevinscott/dogs-vs-cats-w-vgg16", "kernel_id": "552733"}, {"ref": "daphnecor/csii-assignment-c-recognising-digits", "kernel_id": "680731"}, {"ref": "jy1023408440/dogs-vs-cats", "kernel_id": "741805"}, {"ref": "owen1226/dogs-vs-cats-redux", "kernel_id": "859750"}, {"ref": "anuragsingh/fast-ai-lesson-1", "kernel_id": "1818700"}, {"ref": "ambarish/dogs-cats-fujisan-s-invasive-species-3", "kernel_id": "1617863"}, {"ref": "ambarish/dogs-and-cats-image-analysis-2", "kernel_id": "1614655"}, {"ref": "ambarish/dogs-and-cats-image-analysis", "kernel_id": "1610005"}, {"ref": "vaibhavbhardwaj/dogvscat", "kernel_id": "1742433"}, {"ref": "gururahulpradhan/fast-ai-lesson-1", "kernel_id": "1487627"}, {"ref": "gururahulpradhan/fastai-lesson-1", "kernel_id": "1465780"}, {"ref": "rajeevctrl/dogvscat-customcnn", "kernel_id": "1465256"}, {"ref": "nitinbhatia/catdognet-keras-convnet-starter", "kernel_id": "1718050"}, {"ref": "renatoh/keras-convnet-dl-pucp", "kernel_id": "1605925"}, {"ref": "renatoh/keras-convnet-dl-pucp-weak-localization", "kernel_id": "1659641"}, {"ref": "tentotheminus9/where-is-xception-looking-grad-cam-via-r", "kernel_id": "1168567"}, {"ref": "carlosaguayo/introduction-to-transfer-learning", "kernel_id": "1254956"}, {"ref": "carlosaguayo/using-inceptionv3", "kernel_id": "1254756"}, {"ref": "johnfarrell/dvc-prepare-evalset", "kernel_id": "1638664"}, {"ref": "johnfarrell/dvc-preprocessing", "kernel_id": "1638822"}, {"ref": "johnfarrell/dvc-basic-model", "kernel_id": "1639855"}, {"ref": "johnfarrell/dvc-pretrained-model-finetune", "kernel_id": "1640384"}, {"ref": "johnfarrell/dvc-pretrained-model-feature-extract", "kernel_id": "1676369"}, {"ref": "johnfarrell/dvc-advanced-model", "kernel_id": "1674761"}, {"ref": "kvelertak/vgg-bottleneck-fc", "kernel_id": "1514228"}, {"ref": "heyhello/dogs-vs-cats", "kernel_id": "1730101"}, {"ref": "tejasreddy/dogs-v-s-cats-redux-3", "kernel_id": "1273329"}, {"ref": "rishabmps/fast-ai-lesson-1", "kernel_id": "1716372"}, {"ref": "tcvieira/using-fastai-in-kaggle-kernel", "kernel_id": "1368625"}, {"ref": "tcvieira/fast-ai-kaggle-kernel-example", "kernel_id": "1368734"}, {"ref": "abhiksark/introduction-to-transfer-learning-cats-dogs", "kernel_id": "1094634"}, {"ref": "abhiksark/kerneld3e5d3552a", "kernel_id": "1088116"}, {"ref": "hncuong/fast-ai-lesson-1-dog-breeds", "kernel_id": "1924791"}, {"ref": "abhi4singhal/cnn-without-image-resize", "kernel_id": "1497863"}, {"ref": "tomras/keras-mobilenet-lb-0-249-and-resnet50-lb-0-363", "kernel_id": "1908240"}, {"ref": "akadavan/cat-vs-dog-adv", "kernel_id": "1156608"}, {"ref": "suraj2596/ai6-blore-w6-fast-ai-lesson-3", "kernel_id": "1698913"}, {"ref": "gpreda/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "1438301"}, {"ref": "ajinkyapatil8190/dog-vs-cat", "kernel_id": "1682375"}, {"ref": "biswa156/dogs-vs-cats-classification-using-cnn-from-tflearn", "kernel_id": "1879286"}, {"ref": "hammadzahidali/fast-ai-cats-and-dogs-lesson-1", "kernel_id": "1655546"}, {"ref": "nandobr/c-es-gatos-fastai-portugu-s", "kernel_id": "1731153"}, {"ref": "rajats1992/catvsdog", "kernel_id": "1361826"}, {"ref": "dingxwsimon/aicamp-wk9-s3-simple-object-detection", "kernel_id": "1881227"}, {"ref": "rajatranjan/no-cats-only-dogs", "kernel_id": "1043778"}, {"ref": "arvindbhatt/dogs-vs-cat-image-analysis-and-classification", "kernel_id": "1746630"}, {"ref": "hortonhearsafoo/fast-ai-lesson-7-cam", "kernel_id": "1411161"}, {"ref": "hortonhearsafoo/fast-ai-lesson-1", "kernel_id": "1373354"}, {"ref": "hortonhearsafoo/fast-ai-lesson-2", "kernel_id": "1373369"}, {"ref": "hortonhearsafoo/image-classifier-with-fastai", "kernel_id": "1238982"}, {"ref": "rtatman/test-notebook-2", "kernel_id": "1149307"}, {"ref": "wuguo2017/transfer-learning-cats-and-dogs-1723a8", "kernel_id": "1124813"}, {"ref": "upperthrower4/cnn-leo", "kernel_id": "1872050"}, {"ref": "diskandar69/fast-ai-lesson1-default", "kernel_id": "1602314"}, {"ref": "segfaultalert/cat-vs-dog-v2", "kernel_id": "1226740"}, {"ref": "shubchat/lesson1-fastai-v2", "kernel_id": "1351617"}, {"ref": "cican17/cats-v-s-dogs-first-try", "kernel_id": "1373458"}, {"ref": "jiuzhang/aicamp-wk9-s3-simple-object-detection", "kernel_id": "1173176"}, {"ref": "jiuzhang/aicamp-wk9-s3-simple-object-detection-answer", "kernel_id": "1166780"}, {"ref": "jiuzhang/ai-camp-introduction-dogs-and-cats", "kernel_id": "1329326"}, {"ref": "suniliitb96/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "1763709"}, {"ref": "suniliitb96/fast-ai-learning-through-cats-dogs", "kernel_id": "1791812"}, {"ref": "kumarabhishekone/dogs-vs-cats-keras-solution", "kernel_id": "1767125"}, {"ref": "varian97/keras-comparing-vgg16-vgg19-and-inceptionv3", "kernel_id": "1658503"}, {"ref": "vinitkumargtech/dogs-vs-cats-final-resnet-50-with-sample-data", "kernel_id": "1617475"}, {"ref": "vinitkumargtech/dogs-vs-cats-capstone-final-rn50-gt", "kernel_id": "1613679"}, {"ref": "vinitkumargtech/dogs-and-cats-final-kernel-explore-cnn-scratch", "kernel_id": "1555067"}, {"ref": "vinitkumargtech/dogs-and-cats-final-kernel-resnet50-gt", "kernel_id": "1560204"}, {"ref": "vinitkumargtech/dogs-and-cats-final-kernel-vgg16-train-top-conv", "kernel_id": "1560136"}, {"ref": "vinitkumargtech/dogs-and-cats-final-kernel-vgg16-train-all", "kernel_id": "1560072"}, {"ref": "vinitkumargtech/dogs-and-cats-final-kernel-vgg16-train-top-only", "kernel_id": "1560095"}, {"ref": "vinitkumargtech/dogs-and-cats-final-kernel-resnet50-submission", "kernel_id": "1569652"}, {"ref": "mallela432/cats-vs-dogs-cnn-implementation-with-keras", "kernel_id": "1583645"}, {"ref": "rakesh6184/dogs-vs-cats-keras-solution", "kernel_id": "1467731"}, {"ref": "keogh24/dogs-v-cats-keras", "kernel_id": "1943881"}, {"ref": "kalyanrao/first-rgb-cnn", "kernel_id": "1561248"}, {"ref": "aamnafea/fast-ai-approach-score-0-6524", "kernel_id": "1448503"}, {"ref": "aamnafea/vgg19-fine-tuning", "kernel_id": "1402147"}, {"ref": "aamnafea/dogs-vs-cats-cnn", "kernel_id": "1390653"}, {"ref": "ziadloo/strange-case-of-increasing-regularization-term", "kernel_id": "1437567"}, {"ref": "alhassanabdelglil/keras-for-predict-dogs-or-cats", "kernel_id": "1581399"}, {"ref": "aquatiko/dogs-vs-cats-fast-ai", "kernel_id": "1443020"}, {"ref": "shivamb/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "1855484"}, {"ref": "ademola12/dogs-cats-who-s-tha-boss", "kernel_id": "1977843"}, {"ref": "tanmaypandey/dogs-vs-cats-keras-solution", "kernel_id": "1489522"}, {"ref": "deadskull7/cats-vs-dogs-images", "kernel_id": "1021410"}, {"ref": "deadskull7/cats-vs-dogs-84", "kernel_id": "1014165"}, {"ref": "abdelrahmanmsalim/dogs-vs-cats-111", "kernel_id": "1260698"}, {"ref": "lengjd/aicamp-wk9-s3-simple-object-detection-82d2f3", "kernel_id": "1870175"}, {"ref": "dguo456/dogs-vs-cats-cnn", "kernel_id": "1405140"}, {"ref": "ahmednassar/catsvsdogwithresnet", "kernel_id": "1248735"}, {"ref": "dann093/keras-dogs-vs-cats", "kernel_id": "1813426"}, {"ref": "anshulrai/using-fastai-in-kaggle-kernel-updated", "kernel_id": "1036748"}, {"ref": "arindamkumar/dogs-vs-cats", "kernel_id": "1106207"}, {"ref": "andresrios/resnet-50-keras-tf-beging", "kernel_id": "1416721"}, {"ref": "simonandersen/fast-ai-lesson-1-diabetic-retinopathy", "kernel_id": "1607572"}, {"ref": "datascienceatom/keras-image-classifier", "kernel_id": "1991415"}, {"ref": "annatu/cat-dog-detection", "kernel_id": "1685251"}, {"ref": "mingming1121/kernel9a684d6368", "kernel_id": "1062180"}, {"ref": "princeashburton/fast-ai-lesson-2-multi-label-classification", "kernel_id": "1466665"}, {"ref": "princeashburton/fast-ai-lesson-1", "kernel_id": "1448962"}, {"ref": "kasmithh/dogs-vs-cats-updated", "kernel_id": "1473480"}, {"ref": "kasmithh/dogs-vs-cats", "kernel_id": "1473484"}, {"ref": "jasonzhou89/kernel-dogs-vs-cats-redux-kernels-edition", "kernel_id": "1176928"}, {"ref": "risingdeveloper/dogs-vs-cats-keras-implementation", "kernel_id": "1675640"}, {"ref": "risingdeveloper/transfer-learning-in-keras-on-dogs-vs-cats", "kernel_id": "1733734"}, {"ref": "abhinavjaiswal/cats-vs-dogs-classification", "kernel_id": "1915708"}, {"ref": "geoffreyxiao96/dogs-vs-cats-keras-full", "kernel_id": "1108747"}, {"ref": "amirganiev/dos-vs-cats-amir-ganiev", "kernel_id": "1351834"}, {"ref": "honeysingh/vgg-based-cat-dog-classifier", "kernel_id": "1558744"}, {"ref": "honeysingh/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "1498270"}, {"ref": "zhoulingyan0228/cats-dogs-multi-scale-cnn-w-o-pretraining", "kernel_id": "1423929"}, {"ref": "kanwalinder/dogs-vs-cats-features-from-transfer-models", "kernel_id": "1480477"}, {"ref": "lidehua/catdognet-keras-convnet-starter", "kernel_id": "1311702"}, {"ref": "gazal123/dogs-and-cats", "kernel_id": "1921856"}, {"ref": "danielwlc/deep-learn-cat-dog-try1", "kernel_id": "1477152"}, {"ref": "lrasmy/apply-fast-ai-lesson-1-on-diab-ret-lr", "kernel_id": "1576649"}, {"ref": "ialimustufa/lesson-1", "kernel_id": "1476226"}, {"ref": "vasya1945/kerneld1f0d70856", "kernel_id": "1484886"}, {"ref": "alishmanandhar/transfer-learning", "kernel_id": "1619783"}, {"ref": "naigamshah/cat-vs-dog-classifier", "kernel_id": "1697184"}, {"ref": "jmourad100/dogsvscats-keras-convnet-starter", "kernel_id": "1945025"}, {"ref": "pietebr/c-es-gatos-fastai-portugu-s", "kernel_id": "1737812"}, {"ref": "thaisloa/c-es-gatos-fastai-portugu-s-cb471a", "kernel_id": "1738220"}, {"ref": "raj630/kernel046fbdd82f", "kernel_id": "1788659"}, {"ref": "rezende/my-first-cnn-network-fom-scratch", "kernel_id": "1859562"}, {"ref": "vincentpommier/resnet50-with-fastai-library", "kernel_id": "1942011"}, {"ref": "abumalekji/cats-and-dogs-starter-code-v2", "kernel_id": "2701612"}, {"ref": "goerlitz/keras-transfer-learning-vgg-inception-resnet", "kernel_id": "2643516"}, {"ref": "danielnbarbosa/fast-ai-v1-2019-on-dogs-vs-cats", "kernel_id": "2871836"}, {"ref": "abarbosa/tera-aula-deep-learning-5-desafio-fast-ai", "kernel_id": "2295874"}, {"ref": "moriano/transfer-learning-cats-vs-dogs", "kernel_id": "2420836"}, {"ref": "anjanatiha/classification-using-keras-accuracy-100", "kernel_id": "2883715"}, {"ref": "jianjin/dogs-vs-cats-with-fastai-1-0", "kernel_id": "2429055"}, {"ref": "jchang4/dogs-vs-cats-binary-classification-using-nn", "kernel_id": "2817171"}, {"ref": "ashishpatel26/zero-to-hero-in-fastai", "kernel_id": "2179051"}, {"ref": "dhavalmj007/cat-dog-v01", "kernel_id": "2400902"}, {"ref": "theschles/fast-ai-lesson-1", "kernel_id": "2039496"}, {"ref": "yliu40/aicamp-wk9-s3-simple-object-detection", "kernel_id": "2680255"}, {"ref": "anuraglahon/fast-ai-lesson-1-on-kaggle", "kernel_id": "2272836"}, {"ref": "gaurav272333/dogs-vs-cats-convnets-rgb-imageaugmentation", "kernel_id": "2439947"}, {"ref": "patthoo/fast-ai-lesson-2", "kernel_id": "2231739"}, {"ref": "patthoo/fast-ai-lesson-1", "kernel_id": "2210916"}, {"ref": "jorgedecorte/exercise-catdognet-keras", "kernel_id": "2010199"}, {"ref": "bbqlp33/vgg-like-net-for-dog-cat-recognition", "kernel_id": "2217224"}, {"ref": "angelgmedina/cats-vs-dogs-transfer-learning-inceptionresnetv2", "kernel_id": "2247005"}, {"ref": "cuberti/fast-ai-lesson-1-kaggle-work-through", "kernel_id": "2634441"}, {"ref": "phamvanlinh143/fine-tuning-vgg16-dogsvscats", "kernel_id": "2638366"}, {"ref": "toshikazuwatanabe/fast-ai-latest-dogs-vs-cats", "kernel_id": "2507016"}, {"ref": "keogh24/dogs-vs-cats-keras-data-augmentation", "kernel_id": "2049705"}, {"ref": "shahad9544/dogs-vs-cat-image-classification-using-fast-ai", "kernel_id": "2160088"}, {"ref": "overload10/transfer-learning-using-inception-on-full-data", "kernel_id": "2593085"}, {"ref": "kianya/cats-vs-dogs-netologia", "kernel_id": "2805579"}, {"ref": "kriger161/cat-vs-dog", "kernel_id": "2463065"}, {"ref": "arindamkumar/fast-ai-lesson-1", "kernel_id": "2457856"}, {"ref": "alpesh1122/cat-and-dog-from-scratch-90-training-accuracy", "kernel_id": "2169537"}, {"ref": "hengulkakaty/cnn-model-with-keras", "kernel_id": "2391011"}, {"ref": "singhsatwinder/dog-vs-cat-classification-using-tf-with-keras", "kernel_id": "2309282"}, {"ref": "rajmehra03/a-comprehensive-guide-to-transfer-learning", "kernel_id": "2000680"}, {"ref": "rajmehra03/is-that-a-dog-or-a-cat-cnn-keras-acc-90", "kernel_id": "2405647"}, {"ref": "kagglestart/keras-start01-0217", "kernel_id": "2972001"}, {"ref": "ashuvishnoi/kernel1ba9bba053", "kernel_id": "2731846"}, {"ref": "jungan/rcnn-simple-object-detection", "kernel_id": "2668102"}, {"ref": "jungan/dnn-dog-cat-recognition-tensorflow-progress-bar", "kernel_id": "2138788"}, {"ref": "jquesadar/hispania-fast-ai-lesson-1", "kernel_id": "2632593"}, {"ref": "jmourad100/dogsvscats-keras-convnet", "kernel_id": "2517002"}, {"ref": "jmourad100/fork-of-dogsvscats-keras-convnet-kfold", "kernel_id": "2518405"}, {"ref": "jmourad100/dogsvscats-transfer-learning-with-inceptionv3", "kernel_id": "2180506"}, {"ref": "jmourad100/fork-dogsvscats-transfer-learning-with-resnet50", "kernel_id": "2156812"}, {"ref": "jmourad100/dogsvscats-transfer-learning-with-resnet50", "kernel_id": "2153237"}, {"ref": "jmourad100/fork-of-dogsvscats-keras-convnet-starter", "kernel_id": "2095146"}, {"ref": "khreez/dogs-vs-cats-cnn-naive-approach", "kernel_id": "2077186"}, {"ref": "karthikbmk/dogs-vs-cats-classification-demo", "kernel_id": "2944231"}, {"ref": "hmiyamoto/dogs-vs-cats-cnn-with-keras", "kernel_id": "2133145"}, {"ref": "bharat0/script-dogs-vs-cats", "kernel_id": "2086074"}, {"ref": "bharat0/dog-vs-cat", "kernel_id": "2085468"}, {"ref": "bharat0/dog-vs-cat-pretrained-resnet", "kernel_id": "2106745"}, {"ref": "shuoshuocengjing/cats-dog", "kernel_id": "2133272"}, {"ref": "mary96/kernela7e95f058d", "kernel_id": "2149951"}, {"ref": "winterhd/lecture-1-1-ai-camp-introduction", "kernel_id": "2361067"}, {"ref": "lavzzz/cat-vs-dog-cnn", "kernel_id": "2451359"}, {"ref": "lavzzz/transfer-learning-cat-vs-dog", "kernel_id": "2456127"}, {"ref": "parthi2929/dl-part-1-lesson-1-v2-via-fastai-1-0-unofficial", "kernel_id": "2368858"}, {"ref": "taherbadnawar/dog-vs-cat-using-deep-learning", "kernel_id": "2464549"}, {"ref": "craone/dogs-vs-cats-classification", "kernel_id": "2202646"}, {"ref": "bhumeshchopda/dog-vs-cat-classification-final", "kernel_id": "2583103"}, {"ref": "bashturtle/kernel33301ae9b4", "kernel_id": "2925300"}, {"ref": "hamidbadriiam/full-classification-example-with-convnet-ffd8c8", "kernel_id": "2684812"}, {"ref": "hamidbadriiam/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "2684815"}, {"ref": "yellowduck/kernel70b9a14fb4", "kernel_id": "3679684"}, {"ref": "yellowduck/transfer-learning-pytorch", "kernel_id": "3679703"}, {"ref": "yellowduck/transfer-learning-pytorch-starter", "kernel_id": "3674375"}, {"ref": "anlarro/vgg-fine-tunig-dogsvscats", "kernel_id": "3113407"}, {"ref": "naresh31/cnn-cats-vs-dogs", "kernel_id": "3444697"}, {"ref": "tataganesh/cats-vs-dogs-simple", "kernel_id": "3331996"}, {"ref": "yosiwealth/dogs-and-cats-image-classification-using-keras", "kernel_id": "3374594"}, {"ref": "mnk812/dogs-cats-keras-baseline", "kernel_id": "3535572"}, {"ref": "kbx1025/cnn-diff-layers", "kernel_id": "3471685"}, {"ref": "gaurav272333/dogs-vs-cats-transferlearning", "kernel_id": "3165632"}, {"ref": "yyjjhh/cats-vs-dogs-images", "kernel_id": "3268231"}, {"ref": "junhai/dogvscats", "kernel_id": "3597594"}, {"ref": "marioscheliga/dogs-vs-cats", "kernel_id": "3114673"}, {"ref": "anil777/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "3611012"}, {"ref": "willbrazil/dogs-vs-cats-classification-using-cnn-from-tflearn", "kernel_id": "3376432"}, {"ref": "abhijeetmittal27/dogsvscats-transferlearning", "kernel_id": "3295315"}, {"ref": "romankondratiev/transfer-learning-keras-xception-cnn", "kernel_id": "3777197"}, {"ref": "romankondratiev/transfer-learning-keras-xception-cnn-adb090", "kernel_id": "3777200"}, {"ref": "osmanyksel/cats-vs-dogs-keras1", "kernel_id": "3885182"}, {"ref": "frauscoo/keras-dogs-vs-cats", "kernel_id": "3179273"}, {"ref": "winterhd/aicamp-wk9-s3-simple-object-detection-answer", "kernel_id": "3044756"}, {"ref": "chriszou/dogs-vs-cats-pytorch-cnn-without-transfer-learning", "kernel_id": "3903685"}, {"ref": "maximlopez18/dogs-vs-cats", "kernel_id": "3403890"}, {"ref": "fegadeharish/dogs-cats", "kernel_id": "3461450"}, {"ref": "devinshende/cs-final-project", "kernel_id": "3216748"}, {"ref": "arya791/kernel6fb4bf1ec6", "kernel_id": "3939254"}, {"ref": "modernmariam/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "3644780"}, {"ref": "joosee/netology-ds-dogs-vs-cats", "kernel_id": "3056704"}, {"ref": "renyuanfang/pretained-models", "kernel_id": "3582370"}, {"ref": "vunguyentuan/dogs-vs-cats-keras-solution", "kernel_id": "3452331"}, {"ref": "dajiaoyang/aicamp-wk9-s3-simple-object-detection", "kernel_id": "3827485"}, {"ref": "deji118/cat-vs-dog-the-first", "kernel_id": "3134266"}, {"ref": "sprasad566/fork-of-dog-vs-cat-classification-72aae4", "kernel_id": "3198375"}, {"ref": "rayhantitho/dogs-vs-cats-classification", "kernel_id": "3738147"}, {"ref": "chiayenchiang/cat-and-dog-identification-practice", "kernel_id": "3990640"}, {"ref": "yogeshchandra/dog-vs-cat-classification", "kernel_id": "4127362"}, {"ref": "bharat2905/dogs-vs-cats-own-model", "kernel_id": "4039011"}, {"ref": "amalphonse/dogscatsdatasetanju", "kernel_id": "4685428"}, {"ref": "jatturat/dog-and-cat-classification-with-transfer-learning", "kernel_id": "4207962"}, {"ref": "sudhakar1kulai/emergenyvechile", "kernel_id": "4684682"}, {"ref": "shailendrayadav/cat-vs-dog-image-classification-cnn", "kernel_id": "4980361"}, {"ref": "div1996p/dogsvscat", "kernel_id": "4930132"}, {"ref": "gokulnish/dogs-vs-cats-deep-learning", "kernel_id": "4541678"}, {"ref": "saitejamahadev/dogs-vs-cats-own-model", "kernel_id": "4119804"}, {"ref": "kraas27/dogs-and-cats", "kernel_id": "4884950"}, {"ref": "aditya100/cats-and-dogs", "kernel_id": "4156465"}, {"ref": "dcl106/using-cnn-for-dogs-vs-cats", "kernel_id": "4704805"}, {"ref": "criscastromaya/01-introduction-to-pytorch", "kernel_id": "4649390"}, {"ref": "stephanedc/tutorial-cnn-partie-3-mod-le-vgg16", "kernel_id": "4447251"}, {"ref": "stephanedc/tutorial-cnn-partie-2-reconnaissance-chien-chat", "kernel_id": "4418616"}, {"ref": "aravindsairam1995/pytorch-alexnet", "kernel_id": "4884472"}, {"ref": "riteshkadam/kernelaf910def69", "kernel_id": "4767554"}, {"ref": "elcaiseri/keras-cnn-dog-or-cat-classification", "kernel_id": "4458127"}, {"ref": "mrli1995/cat-vs-dog-use-keras", "kernel_id": "4652323"}, {"ref": "honglou/kernel27b418c632", "kernel_id": "4669755"}, {"ref": "tormoz70/kernel0761cf1a3b", "kernel_id": "4815326"}, {"ref": "odinnoneodin/kernelb01af84093", "kernel_id": "4771146"}, {"ref": "virajbagal/beginners-convnet-cats-vs-dogs", "kernel_id": "4086590"}, {"ref": "aaku34/dog-vs-cat-classification", "kernel_id": "4697094"}, {"ref": "shahkan/classification-of-cats-and-dogs-images", "kernel_id": "4323867"}, {"ref": "jesucristo/private-lb-simulation-i", "kernel_id": "4862037"}, {"ref": "terminate9298/dog-vs-cat-model", "kernel_id": "4354841"}, {"ref": "ustbyang/fast-ai-latest-dogs-vs-cats", "kernel_id": "4864272"}, {"ref": "khalidzaki/dog-vs-cat", "kernel_id": "4723852"}, {"ref": "supermode/dogs-and-cats-classification", "kernel_id": "4699487"}, {"ref": "duynm619/kernel7665f91d54", "kernel_id": "4841195"}, {"ref": "varnez/dogs-vs-cats-kernel-simple-keras-cnn", "kernel_id": "4030918"}, {"ref": "ananthadattad/dogs-vs-cats-own-model-b7f0bc", "kernel_id": "4213024"}, {"ref": "timdarcet/dogs-v-cats", "kernel_id": "4644663"}, {"ref": "sbmunv/tlearning", "kernel_id": "4951446"}, {"ref": "ddb1995/cnn-vgg16-vgg19", "kernel_id": "5108038"}, {"ref": "ludi666/nasnetlarge", "kernel_id": "5617833"}, {"ref": "auiarafat/cats-and-dogs-classification", "kernel_id": "5008997"}, {"ref": "hung96ad/dogs-vs-cats-pytorch-cnn-without-transfer-learning", "kernel_id": "5277392"}, {"ref": "benjamingatti/introduction-to-transfer-learning-recycling", "kernel_id": "5608000"}, {"ref": "gipark2001/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "5097334"}, {"ref": "kkongee/xception-dog-cat-logistic", "kernel_id": "5437153"}, {"ref": "duynm619/digit-recorgnization-with-knn-nguy-n-minh-duy", "kernel_id": "5787859"}, {"ref": "kevinissac47/dogs-vs-cats", "kernel_id": "5971127"}, {"ref": "brijesh41/dog-vs-cat-mobilenet-transfer", "kernel_id": "5919667"}, {"ref": "hilla4/simple-cnn-with-vgg-accuracy-87", "kernel_id": "5811221"}, {"ref": "manohar676/cnn-architectures-on-gold-mines-data", "kernel_id": "5908364"}, {"ref": "suvinlee/dogs-cats-note", "kernel_id": "5642435"}, {"ref": "sennaprrn/pyrorch-cat-vs-dog", "kernel_id": "5953558"}, {"ref": "wrecked22/dogonet", "kernel_id": "5220197"}, {"ref": "guilhermeviveiros/generator-creation-tf", "kernel_id": "5526556"}, {"ref": "thesherpafromalabama/a-comprehensive-guide-to-transfer-learning", "kernel_id": "6665888"}, {"ref": "vladimirn/dogs-vs-cats-keras-cnn", "kernel_id": "6100853"}, {"ref": "jorgedecorte/excercise-catdognet", "kernel_id": "6319721"}, {"ref": "thinkingreed/dog-cat-redux-fastai-hw1", "kernel_id": "6498656"}, {"ref": "sgalella/transfer-learning-in-keras", "kernel_id": "6350312"}, {"ref": "matthewbillman/dogs-and-cats", "kernel_id": "6577245"}, {"ref": "lielma/kaggle-liel-vgg16-competition", "kernel_id": "6865655"}, {"ref": "georgeporu/ai-exercise-6", "kernel_id": "6216394"}, {"ref": "davidarcila93/dogs-vs-cats", "kernel_id": "6535726"}, {"ref": "vinaydoshi/extracting-imagenet-weights", "kernel_id": "6475699"}, {"ref": "vinaydoshi/dogs-vs-cats-using-resnet50-imagenet-features", "kernel_id": "6495435"}, {"ref": "vinaydoshi/dogs-vs-cats-alexnet", "kernel_id": "6328470"}, {"ref": "sudosudh/doggo-cato", "kernel_id": "6167391"}, {"ref": "bobforli/cat-dat-tensorflow-cnn", "kernel_id": "6272732"}, {"ref": "oscarkwok/dogs-vs-cats-image-classification", "kernel_id": "6301120"}, {"ref": "shaodongcui/dogandcat", "kernel_id": "6387421"}, {"ref": "rita12/basiccnn-hyperparam-tunning-transfer-learing", "kernel_id": "6648579"}, {"ref": "mkillmer/cats-and-dogs-1", "kernel_id": "6347227"}, {"ref": "vibhamasti/dogs-vs-cats", "kernel_id": "6040848"}, {"ref": "jeff860530/dogs-vs-cats-classification", "kernel_id": "6133229"}, {"ref": "jeff860530/dogs-vs-cats-with-trainsfer-learning", "kernel_id": "6144537"}, {"ref": "alessioserrani/alexnet", "kernel_id": "6540774"}, {"ref": "abdulrazzaqraz/transfer-learning-on-dogs-vs-cats-data", "kernel_id": "6903648"}, {"ref": "trunghieu11/keras-transfer-learning-vgg-inception-resnet", "kernel_id": "7004796"}, {"ref": "noordeen/dogcatexample", "kernel_id": "7898161"}, {"ref": "bootiu/dog-vs-cat-transfer-learning-by-pytorch-lightning", "kernel_id": "7681118"}, {"ref": "bootiu/dog-vs-cat-transfer-learning-vgg16-by-pytorch", "kernel_id": "7026730"}, {"ref": "ankk199/project-ai-ankk", "kernel_id": "7879992"}, {"ref": "yyyywd/dog-vs-cat-transfer-learning-vgg16-by-pytorch", "kernel_id": "7141455"}, {"ref": "venky12347/image-classification", "kernel_id": "7898310"}, {"ref": "myndel/2c64-c128-c128-c256-d256-d1", "kernel_id": "7437992"}, {"ref": "aashiqb/dogs-vs-cats-keras-cnn", "kernel_id": "7890379"}, {"ref": "findyou/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "7108904"}, {"ref": "raultrevino/cnn-cat-or-dog-tensorflow", "kernel_id": "7891861"}, {"ref": "sureshkothakota/kernel5ad5169243", "kernel_id": "7796771"}, {"ref": "javiersotres/a-try-to-the-dogs-vs-cats-using-a-simple-cnn", "kernel_id": "7865025"}, {"ref": "subhomajumder/part-8-dogscats-course", "kernel_id": "7369527"}, {"ref": "magolor/dogsvscats-vgg", "kernel_id": "7508337"}, {"ref": "phylake1337/99-by-simple-inception-transfer-learning", "kernel_id": "7997944"}, {"ref": "swapnilpote/dogs-vs-cats", "kernel_id": "8033159"}, {"ref": "stamate/kernel4bcbeae697", "kernel_id": "8264922"}, {"ref": "ashhadulislam/applying-resnet34-in-cats-v-dogs-redux-official", "kernel_id": "8837654"}, {"ref": "ashhadulislam/applying-resnet34-in-cats-v-dogs-redux", "kernel_id": "8743392"}, {"ref": "mnk812/dvsc-folds", "kernel_id": "8973641"}, {"ref": "mjain47/dog-vs-cat-classification-using-resnet50", "kernel_id": "8902213"}, {"ref": "thanatoz/comparing-vision-models-cats-dog", "kernel_id": "8314140"}, {"ref": "mouradio/vgg16-with-sequential-model", "kernel_id": "8773783"}, {"ref": "mouradio/transfer-learning-for-beginning", "kernel_id": "8825285"}, {"ref": "clairence/cnns-for-cats-and-dogs-v1", "kernel_id": "8093893"}, {"ref": "s0dium/kernel32f2d42672", "kernel_id": "8662830"}, {"ref": "christofel04/cat-vs-dog-keras-covnet", "kernel_id": "8429332"}, {"ref": "christofel04/introduction-image-classification-cat-vs-dog", "kernel_id": "8427666"}, {"ref": "vyzytor/vrbancic-dogs-cats-redux", "kernel_id": "8152345"}, {"ref": "nickteim/dogs-vs-cats-simple-cnn", "kernel_id": "8167975"}, {"ref": "tarang025/transfer-learning-cnn-cats-vs-dogs", "kernel_id": "8082957"}, {"ref": "saishreddykomalla/cats-dogs-class", "kernel_id": "8627015"}, {"ref": "siraznaorem/cats-vs-dogs-baseline-model-1st-dl-practice", "kernel_id": "8788063"}, {"ref": "youssifhegab/cats-vs-dogs-classification", "kernel_id": "8033960"}, {"ref": "muhammedyaseenna/dogs-and-cats-1st", "kernel_id": "8155793"}, {"ref": "msthegreat/dogs-and-cats-test1", "kernel_id": "8187349"}, {"ref": "agnizle/catdog", "kernel_id": "8592999"}, {"ref": "joelkrupakar/kernel1d46624a6d", "kernel_id": "8312722"}, {"ref": "paulkim57/image-basic-augmentation-final", "kernel_id": "8721801"}, {"ref": "paulkim57/cat-vs-dog", "kernel_id": "8628322"}, {"ref": "abumalekji/cats-vs-dogs-deep-learning", "kernel_id": "9353469"}, {"ref": "franckepeixoto/dogs-x-cats-classifier-using-inceptionv3", "kernel_id": "9895757"}, {"ref": "fx757887/dogs-vs-cats-cnn3", "kernel_id": "9296835"}, {"ref": "saurabh1411/dogs-vs-cats-keras-solution", "kernel_id": "9287934"}, {"ref": "angqx95/feature-extractor-fine-tuning-with-keras", "kernel_id": "9063148"}, {"ref": "simonaglem/bd2020-eksperimentas-1-klasifikavimas", "kernel_id": "9684464"}, {"ref": "rishabhpathak09/dog-cat-classifier-1", "kernel_id": "9487391"}, {"ref": "naimur978/nasnet-xception-inceptionresenet-acc-0-99", "kernel_id": "9927670"}, {"ref": "naimur978/vgg16-inception-resnet", "kernel_id": "9911500"}, {"ref": "alpaca0984/dogs-vs-cats-tensorflow-2-0-on-google-colab", "kernel_id": "9639629"}, {"ref": "alpaca0984/dog-vs-cat-with-pytorch", "kernel_id": "9646533"}, {"ref": "saishreddykomalla/catsvsdogs-using-transfer-learning", "kernel_id": "9060616"}, {"ref": "mertyldrr/beginner-0-945-acc-tensorflow-2-keras-cnn", "kernel_id": "9598584"}, {"ref": "tianhonghuang/cs760-final-project-dogs-vs-cats", "kernel_id": "9324116"}, {"ref": "datasciencead470/coyote-or-dog", "kernel_id": "9482599"}, {"ref": "franckepeixoto/dogs-x-cats-classifier-deep-residual", "kernel_id": "10529236"}, {"ref": "maheswarareddyp/m-study-img-classification-catdog", "kernel_id": "10945759"}, {"ref": "neton03/testing-re-train-mobilenet-v2-in-cat-vs-dog-redux", "kernel_id": "10654151"}, {"ref": "bassbone/dog-vs-cat-transfer-learning-by-pytorch", "kernel_id": "10270849"}, {"ref": "mandras86/dogsvscat", "kernel_id": "10599631"}, {"ref": "ankk199/ai-project-catvsdog-evaluation", "kernel_id": "10227829"}, {"ref": "anukool89/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "10773543"}, {"ref": "saratbhargava/train-convnets-from-scratch-using-tensorflow-2-0", "kernel_id": "10672440"}, {"ref": "historia96/mon-projet-rn-chiens-chats", "kernel_id": "10841623"}, {"ref": "ashimdahal/pretrained-cnn-in-keras", "kernel_id": "10415518"}, {"ref": "reukki/pytorch-cnn-tutorial-with-cats-and-dogs", "kernel_id": "10758748"}, {"ref": "zhangyunsheng/xception-resenet152-inceptionv3-based-on-tf2-0", "kernel_id": "10576761"}, {"ref": "lokeshrth4617/dogs-and-cats", "kernel_id": "10313054"}, {"ref": "bktanloc/project-ai", "kernel_id": "10328766"}, {"ref": "hongvando/ai-project-catvsdog-evaluation", "kernel_id": "10310675"}, {"ref": "natalyayurina/kernel6bdf4c9670", "kernel_id": "10959672"}, {"ref": "nikunjheda/dogs-vs-cats", "kernel_id": "10011369"}, {"ref": "abneranjos/rna-image-classification-with-geographic-variables", "kernel_id": "10851648"}, {"ref": "kenkpixdev/catsvsdogs-resnet50-pytorch", "kernel_id": "10565079"}, {"ref": "kanhapanda/cats-and-dogs", "kernel_id": "10122495"}, {"ref": "bethanyconnolly/exploring-model-uncertainty-for-better-training", "kernel_id": "10588735"}, {"ref": "akashsdas/cats-vs-dogs-the-final-showdown", "kernel_id": "10814972"}, {"ref": "akashsdas/resnet50", "kernel_id": "10875608"}, {"ref": "sanchitvj/cat-or-dog-transfer-learning-using-resnets", "kernel_id": "10508885"}, {"ref": "perfectiods/dogs-vs-cats-two-cnn-models-vgg-16-resnet-50", "kernel_id": "10362416"}, {"ref": "abhishekydav/nn-over-dogs-vs-cats-competetion", "kernel_id": "10678395"}, {"ref": "abhimanyusethi/kernel5984b628e1", "kernel_id": "10007991"}, {"ref": "dollyraj/kernel3ea0a46c66", "kernel_id": "10552068"}, {"ref": "tunguz/cats-vs-dogs-with-vgg19-pretrained-embeddings-lr", "kernel_id": "11995201"}, {"ref": "tunguz/cats-vs-dogs-with-rn50-pretrained-embeddings-lr", "kernel_id": "11995364"}, {"ref": "tunguz/cats-vs-dogs-with-iv3-pretrained-embeddings-lr", "kernel_id": "11995935"}, {"ref": "tunguz/cats-vs-dogs-with-irv2-pretrained-embeddings-lr", "kernel_id": "11995987"}, {"ref": "tunguz/cats-and-dogs-with-rapids-and-embeddings", "kernel_id": "11996542"}, {"ref": "tunguz/cats-vs-dogs-with-vgg16-pretrained-embeddings-lr", "kernel_id": "11888068"}, {"ref": "habibmrad1983/fast-ai-lesson-1", "kernel_id": "11424977"}, {"ref": "weil0819/dogs-vs-cats-transfer-learning-in-pytorch", "kernel_id": "11381550"}, {"ref": "mritunjaisingh/dogs-vs-cats-71", "kernel_id": "11594546"}, {"ref": "sambitmukherjee/tricks-to-improve-an-image-classifier-fastai", "kernel_id": "11027712"}, {"ref": "fanbyprinciple/dogs-vs-cats-fastai-v3", "kernel_id": "11426948"}, {"ref": "aditi81k/dogs-vs-cats-classifier", "kernel_id": "11462237"}, {"ref": "googlemkunthe/kutta-vs-billi", "kernel_id": "11332596"}, {"ref": "lulzseq/tensorflow-cnn-vgg16-classification-loss-0-14", "kernel_id": "11183655"}, {"ref": "saptarshi96/dogs-vs-cats-transfer-learning", "kernel_id": "11464038"}, {"ref": "rikdifos/dogs-vs-cats-efficientnetb7", "kernel_id": "11589927"}, {"ref": "chinugupta/cats-vs-dogs", "kernel_id": "11038239"}, {"ref": "shahad001/getting-started-with-image-classification", "kernel_id": "11304318"}, {"ref": "yanghan12138/dog-cat", "kernel_id": "11748785"}, {"ref": "balasuryam/dogvcats", "kernel_id": "11009226"}, {"ref": "daspinaki/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "11219185"}, {"ref": "sharvils/cats-vs-dogs", "kernel_id": "11891545"}, {"ref": "emirkvrak/cats-vs-dogs-t-rk-e", "kernel_id": "11750555"}, {"ref": "renatoh/taller2", "kernel_id": "12091490"}, {"ref": "tunguz/xgb-cats-vs-dogs-with-naslarge", "kernel_id": "12135954"}, {"ref": "tunguz/xgb-cats-vs-dogs-with-irv2-pretrained-embeddings", "kernel_id": "12134530"}, {"ref": "tunguz/gpu-xgb-cats-vs-dogs-with-irv2", "kernel_id": "12135086"}, {"ref": "tunguz/xgb-gpu-cats-vs-dogs-with-naslarge", "kernel_id": "12138587"}, {"ref": "tunguz/hgbc-cats-vs-dogs-with-irv2-pretrained-embeddings", "kernel_id": "12131327"}, {"ref": "tunguz/cats-vs-dogs-with-eb0-pretrained-embeddings", "kernel_id": "12168456"}, {"ref": "tunguz/cats-vs-dogs-with-eb1-pretrained-embeddings", "kernel_id": "12168749"}, {"ref": "tunguz/cats-vs-dogs-with-eb2-pretrained-embeddings", "kernel_id": "12169597"}, {"ref": "tunguz/cats-vs-dogs-with-eb3-pretrained-embeddings", "kernel_id": "12169696"}, {"ref": "tunguz/cats-vs-dogs-with-eb4-pretrained-embeddings", "kernel_id": "12170122"}, {"ref": "tunguz/cats-vs-dogs-with-eb5-pretrained-embeddings", "kernel_id": "12170405"}, {"ref": "tunguz/cats-vs-dogs-with-eb6-pretrained-embeddings", "kernel_id": "12170504"}, {"ref": "tunguz/cats-vs-dogs-with-eb7-pretrained-embeddinings", "kernel_id": "12171308"}, {"ref": "tunguz/cats-vs-dogs-with-dn121-pretrained-embeddings", "kernel_id": "12011915"}, {"ref": "tunguz/cats-vs-dogs-with-dn169-pretrained-embeddings", "kernel_id": "12011991"}, {"ref": "tunguz/cats-vs-dogs-with-rn152-pretrained-embeddings", "kernel_id": "12009546"}, {"ref": "tunguz/cats-vs-dogs-with-naslarge-pretrained-embeddings", "kernel_id": "12009697"}, {"ref": "tunguz/cats-vs-dogs-with-dn201-pretrained-embeddings", "kernel_id": "12012238"}, {"ref": "tunguz/xgb-lr-gpu-cats-vs-dogs-with-eb7-ns", "kernel_id": "12265065"}, {"ref": "tunguz/cats-vs-dogs-with-eb0-eb7-ns", "kernel_id": "12264216"}, {"ref": "tunguz/cats-vs-dogs-with-eb7-ns", "kernel_id": "12194247"}, {"ref": "tunguz/cats-vs-dogs-with-eb5-7-pretrained-embeddings", "kernel_id": "12171836"}, {"ref": "tunguz/xgb-gpu-cats-vs-dogs-with-eb7", "kernel_id": "12173084"}, {"ref": "tunguz/xgb-gpu-cats-vs-dogs-with-eb6", "kernel_id": "12173249"}, {"ref": "tunguz/cats-vs-dogs-with-eb7-and-catboost", "kernel_id": "12175605"}, {"ref": "tunguz/cats-and-dogs-with-rapids-t-sne", "kernel_id": "12242540"}, {"ref": "tunguz/cats-vs-dogs-with-eb6-ns", "kernel_id": "12224137"}, {"ref": "tunguz/cats-vs-dogs-with-eb5-ns", "kernel_id": "12224229"}, {"ref": "tunguz/cats-vs-dogs-with-eb3-ns", "kernel_id": "12225296"}, {"ref": "tunguz/cats-vs-dogs-with-eb2-ns", "kernel_id": "12225332"}, {"ref": "tunguz/cats-vs-dogs-with-eb1-ns", "kernel_id": "12225371"}, {"ref": "tunguz/cats-vs-dogs-with-eb4-ns", "kernel_id": "12225247"}, {"ref": "tunguz/cats-vs-dogs-with-eb0-ns", "kernel_id": "12225395"}, {"ref": "tunguz/cats-vs-dogs-with-eb7-ns-and-rapids-svc", "kernel_id": "12537521"}, {"ref": "balaji93/cats-vs-dogs-redux", "kernel_id": "12180119"}, {"ref": "dsloet/cats-vs-dogs-self-tutorial-using-tf", "kernel_id": "12060155"}, {"ref": "aniketmaurya/cat-vs-dog-pytorch-resnet18", "kernel_id": "12305115"}, {"ref": "silentj23/cats-dogs-classification-inceptionv3", "kernel_id": "12390172"}, {"ref": "jagdmir/cats-vs-dogs-classifier", "kernel_id": "12863081"}, {"ref": "kentaroh34/dogscats-two-step-analysis", "kernel_id": "12946625"}, {"ref": "kentaroh34/dogsvscats-vgg16", "kernel_id": "12774503"}, {"ref": "calcium1992/dogs-vs-cats-cnn-accu0-74", "kernel_id": "12673680"}, {"ref": "ankur561999/recognizing-cats-and-dogs-using-vgg16", "kernel_id": "12342613"}, {"ref": "karthikbalu/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "12509458"}, {"ref": "shreyasvedpathak/dogs-vs-cats-keras-functional-api", "kernel_id": "12585958"}, {"ref": "akashbhandari54/1000transfer", "kernel_id": "12456043"}, {"ref": "lynnshin/dogs-vs-cats-cnn", "kernel_id": "12450167"}, {"ref": "dmswl0311/cats-and-dog", "kernel_id": "12120226"}, {"ref": "dmswl0311/cat-and-dogs-day3", "kernel_id": "12140887"}, {"ref": "tobiasmmmmmm/dogs-vs-cats-vgg16", "kernel_id": "13725899"}, {"ref": "kliuiev/cats-vs-dogs-train-val-test-data", "kernel_id": "13746225"}, {"ref": "ahashmi/kaggle-ahashmi", "kernel_id": "13463114"}, {"ref": "phsaikiran/dogs-vs-cats", "kernel_id": "13808449"}, {"ref": "mostafaabla/dogs-vs-cats-classification-with-transfer-learning", "kernel_id": "13577406"}, {"ref": "xieguoqiang349/cat-vs-dog", "kernel_id": "13383481"}, {"ref": "rahulrajt/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "13010579"}, {"ref": "screamatthewind/crop-cats-and-dogs-yolov3", "kernel_id": "13194959"}, {"ref": "ilariatodeschini/image-recognition-unife-dog-and-cat", "kernel_id": "13654816"}, {"ref": "sd4321/latest-fastai2-v4-lesson-1-based-classification", "kernel_id": "14321108"}, {"ref": "slothfulwave612/pytorch-dogs-and-cats-classifier", "kernel_id": "14616817"}, {"ref": "rashid4379/notebookbd676b8a37", "kernel_id": "14819534"}, {"ref": "muhammadasad303/cnn-dogs-and-cats", "kernel_id": "14817724"}, {"ref": "dmitrymihaylov/notebookc4f2d00cca", "kernel_id": "14915362"}, {"ref": "jackttai/cat-dog-classifier-cnn-from-sketch-pytorch", "kernel_id": "14057654"}, {"ref": "jackttai/cat-dog-classilfer-resnet-18-pytorch", "kernel_id": "14405397"}, {"ref": "dawool1218/redux-cat-dog-210531-dl-p", "kernel_id": "14006108"}, {"ref": "xantakross/project-seeq", "kernel_id": "14117947"}, {"ref": "gianghus/pytorch-simple-classification", "kernel_id": "14366101"}, {"ref": "swiftamte/simple-pets-fastai", "kernel_id": "14649300"}, {"ref": "rosscas/mlcatsvsdogs", "kernel_id": "14714296"}, {"ref": "zhiyili1/image-classification-task", "kernel_id": "15794070"}, {"ref": "alexanderzv/catsanddogsclassification", "kernel_id": "15156868"}, {"ref": "hujk17ruclion/data-loader", "kernel_id": "15205438"}, {"ref": "thedatabeast/feed-my-pet-workshop-at-ase-b", "kernel_id": "15337236"}, {"ref": "somesh1980/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "15787392"}, {"ref": "vijayanarkar/test-cats-or-dogs-cnn-with-transfer-learning", "kernel_id": "15286926"}, {"ref": "shamiulislamshifat/playing-with-resnet50-full-tutorial", "kernel_id": "15542128"}, {"ref": "arunaakula/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "15632662"}, {"ref": "romangridnev/notebook870eb03f9c", "kernel_id": "15474230"}, {"ref": "skydevour/cats-vs-dogs", "kernel_id": "15128456"}, {"ref": "skydevour/learning-beyond-the-first", "kernel_id": "15130280"}, {"ref": "litonlu/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "15027955"}, {"ref": "adammayor/dog-vs-cat-train-a-99acc-baseline-in-5-steps", "kernel_id": "15501960"}, {"ref": "digaamberdhamija/cats-vs-dogs-redux-vgg19-pretrainedbase", "kernel_id": "15105665"}, {"ref": "vinesmsuic/distinguish-dogs-and-cats-images-using-cnn", "kernel_id": "15170484"}, {"ref": "teykaihong/dogs-vs-cats", "kernel_id": "15500772"}, {"ref": "yysoul/dogs-vs-cats-redux-kernels", "kernel_id": "15106799"}, {"ref": "yogeshlearn/cats-vs-dogs-cnn", "kernel_id": "15571977"}, {"ref": "nguynngcanh/notebook5e116d4bf7", "kernel_id": "15762170"}, {"ref": "wensycheung/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "15963710"}, {"ref": "syarifdjumar/keras-warm-up-cats-vs-dogs-cnn-with-vgg16", "kernel_id": "15743113"}, {"ref": "dmitrsl/cats-vs-dogs-pytorch", "kernel_id": "16135762"}, {"ref": "abrahamanderson/dogs-cats-prediction-via-cnns-in-competition1", "kernel_id": "16854274"}, {"ref": "fed9211/my-cats-vs-dogs", "kernel_id": "16072938"}, {"ref": "kyuhwanjung2/dog-vs-cats-basic-week7-week8", "kernel_id": "16909729"}, {"ref": "fanbyprinciple/pytorch-tackling-cats-and-dogs-that-barely-works", "kernel_id": "17648927"}, {"ref": "rasheedaz/vgg16-with-data-augmentation-97-2-on-valid-set", "kernel_id": "17233169"}, {"ref": "rasheedaz/traditional-cv-using-sift-and-bovw", "kernel_id": "17130654"}, {"ref": "abrahamanderson/transfer-learning-in-cnns", "kernel_id": "17350215"}, {"ref": "praptibhardwaj/cnn-dogs-cats-classification", "kernel_id": "17864036"}, {"ref": "khvineros/notebook5fd30c7670", "kernel_id": "17056241"}, {"ref": "alaamasalha/cats-vs-dogs-redux", "kernel_id": "17873540"}, {"ref": "josecardonariv/clasificaci-n-perros-y-gatos", "kernel_id": "17249673"}, {"ref": "seiteta/dog-vs-cat-with-pytorch-mobilenet-v2", "kernel_id": "18306860"}, {"ref": "lys620/basic-pytorch-cnn-tutorial", "kernel_id": "18425909"}, {"ref": "jump2744/datascience", "kernel_id": "18515614"}, {"ref": "kdgmiler/dogs-vs-cats", "kernel_id": "18033081"}, {"ref": "huangyisyun/notebooka155a8f8b7", "kernel_id": "18901946"}, {"ref": "hamadanaoki/datascience", "kernel_id": "18941455"}, {"ref": "hamadanaoki/notebook385d618221", "kernel_id": "18850759"}, {"ref": "hamadanaoki/notebook5f9b5ba82e", "kernel_id": "18851128"}, {"ref": "lijhaowei/notebook02fdbc0191", "kernel_id": "18855720"}, {"ref": "lijhaowei/notebooka155a8f8b7", "kernel_id": "18879707"}, {"ref": "lijhaowei/notebook1866c1781e", "kernel_id": "18614528"}, {"ref": "kohsan/notebook7dfbdb257c", "kernel_id": "18363896"}, {"ref": "wanchan/notebook956667e112-1b8494", "kernel_id": "18824194"}, {"ref": "ssohei/dogs-vs-cats", "kernel_id": "18753259"}, {"ref": "rizarbel/notebook99243a2260", "kernel_id": "18941193"}, {"ref": "georgeno11/datascience", "kernel_id": "18530724"}, {"ref": "ryowatachi/xception", "kernel_id": "18679710"}, {"ref": "ryowatachi/kaggle-xception", "kernel_id": "18939713"}, {"ref": "ohnishi/notebook956667e112", "kernel_id": "18184737"}, {"ref": "asaharamasahiro/asahara-cnn", "kernel_id": "18102454"}, {"ref": "hara9032/notebookb1588e93c4", "kernel_id": "18034811"}, {"ref": "padsasdfbi/dogvscats", "kernel_id": "18018626"}, {"ref": "nezutakehiro/notebook9d3f68f1e3", "kernel_id": "18942012"}, {"ref": "goki1998/datascience-cnn", "kernel_id": "18840198"}, {"ref": "goki1998/datascience-kadai-code", "kernel_id": "18897481"}, {"ref": "goki1998/datascience-final-kadai", "kernel_id": "18897873"}, {"ref": "johnsuke/notebooke365faf015", "kernel_id": "18892618"}, {"ref": "matsumoto210618/notebookc1347cd748", "kernel_id": "18611495"}, {"ref": "aki1aki1aki2/notebook956667e112-1b8494", "kernel_id": "18883275"}, {"ref": "danieleewww/fast-ai-lesson-1-orig-code-ok", "kernel_id": "19402174"}, {"ref": "danieleewww/fast-ai-lesson-7-cam-orig-code-ok", "kernel_id": "19513589"}, {"ref": "tylerrosacker/efficentnetb5-transfer-learning", "kernel_id": "19709184"}, {"ref": "alifashrafee/dog-vs-cat-classification", "kernel_id": "19977150"}, {"ref": "prathibhavs/catsvsdogs-kernel-redux-practise", "kernel_id": "19392083"}, {"ref": "imanmkhamis/pytorch-cnn-tutorial-with-cats-and-dogs", "kernel_id": "19645130"}, {"ref": "imanmkhamis/cnn-architectures", "kernel_id": "19597654"}, {"ref": "imanmkhamis/tensorflow-cnn-vgg16-classification-loss-0-14", "kernel_id": "19675880"}, {"ref": "imanmkhamis/dogs-vs-cats-pytorch-cnn-without-transfer-learning", "kernel_id": "19675924"}, {"ref": "imanmkhamis/simple-cnn-with-vgg-accuracy-87", "kernel_id": "19675930"}, {"ref": "nguynngcphnganh/heheee", "kernel_id": "19973935"}, {"ref": "paulbeguin/notebook69ab75b51b", "kernel_id": "19943267"}, {"ref": "saratbhargava/resnet-from-scratch-in-pytorch", "kernel_id": "20954677"}, {"ref": "hoikinyu/cats-and-dogs-classification", "kernel_id": "20984436"}, {"ref": "mahditavakol/dog-cat-inceptionv3", "kernel_id": "20313324"}, {"ref": "rayedbw19/dogs-vs-cats-redux", "kernel_id": "20805548"}, {"ref": "ramsegaurav/cat-dog-classification-with-prefetch-tensorflow", "kernel_id": "20091888"}, {"ref": "rafidameermahmud/baseline-2", "kernel_id": "20799876"}, {"ref": "ksarvakar/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "21433667"}, {"ref": "tianbaojie/ucas-nlp-homework1-cnn", "kernel_id": "21308866"}, {"ref": "tianbaojie/ucas-nlp-homework1-rnn", "kernel_id": "21320396"}, {"ref": "tianbaojie/ucas-nlp-homework1-dnn", "kernel_id": "21323694"}, {"ref": "gulshanmishra/tensorflow-baseline", "kernel_id": "21881566"}, {"ref": "taewonkimzad/cats-vs-dogss-redux", "kernel_id": "21419824"}, {"ref": "taewonkimzad/dogs-vs-cats", "kernel_id": "21420703"}, {"ref": "kyuhwanjung2/dogsvscats-10-27", "kernel_id": "21547614"}, {"ref": "ludovicchangeon/pet-finder-eda-catvsdog-regression", "kernel_id": "21736707"}, {"ref": "ventureparker/dogs-vs-cats-kernel-categorical-submission", "kernel_id": "21899793"}, {"ref": "adarshvishwakarma12/competition-cd", "kernel_id": "21102599"}, {"ref": "muhammadaqib9393/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "21732382"}, {"ref": "afrazhaq/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "21739637"}, {"ref": "ramsegaurav/object-detection-for-begginner-with-tensorflow", "kernel_id": "21884447"}, {"ref": "szymonrosaniec/dogs-vs-cats-vgg16", "kernel_id": "21599977"}, {"ref": "kevalpandya2232/cat-vs-dog-resnet50-mark-1", "kernel_id": "21705675"}, {"ref": "lewtas/cat-vs-dog-for-course", "kernel_id": "21291192"}, {"ref": "tunguz/cats-and-dogs-with-sklearnex-t-sne", "kernel_id": "22867145"}, {"ref": "noordeen/notebook9362961eeb", "kernel_id": "22176355"}, {"ref": "abhilashvelaan/dogs-vs-cat-starter-pack", "kernel_id": "22345392"}, {"ref": "shivanir23/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "22536888"}, {"ref": "kyuhwanjung2/dogsvscats-11-27", "kernel_id": "22345676"}, {"ref": "georgesaavedra/dogs-vs-cats-best-transfer-learning", "kernel_id": "22054583"}, {"ref": "annivanova/dogs-vs-cats-vgg16-with-bn", "kernel_id": "22891625"}, {"ref": "romanresner/cat-and-dog-classification-efficientnetb0", "kernel_id": "22792538"}, {"ref": "sandeeprajbeta/sandeep-cats-dogs-v0", "kernel_id": "22364968"}, {"ref": "philippstarzacher/dogs-vs-cats", "kernel_id": "22817213"}, {"ref": "saurabhmul/cnn-catsdogs", "kernel_id": "22334254"}, {"ref": "manishrawat2022/big-net", "kernel_id": "22673771"}, {"ref": "patricksto/cats-vs-dogs", "kernel_id": "22769986"}, {"ref": "vnglvn/no-ron", "kernel_id": "22997924"}, {"ref": "dilipkumar2k6/dogs-vs-cats-with-new-kernel", "kernel_id": "23752213"}, {"ref": "romazlobin/cats-vs-dogs", "kernel_id": "23746025"}, {"ref": "ahmedkafrana/ml-exercise5", "kernel_id": "23425568"}, {"ref": "matzoer/notebookd974ae0dbc", "kernel_id": "23414800"}, {"ref": "sharumaan/cats-vs-dogs", "kernel_id": "23324864"}, {"ref": "polinadubatovka/dogs-cats-recognition", "kernel_id": "23718800"}, {"ref": "fabianstiegler/dogsvscats", "kernel_id": "23623584"}, {"ref": "dngthnhlong0379/no-ron", "kernel_id": "23000819"}, {"ref": "maheswarareddyp/transferlearning-cat-dog", "kernel_id": "24781951"}, {"ref": "joonrisse/vit-cat-vs-dog-classification", "kernel_id": "24884088"}, {"ref": "sanjayanbu/dogs-cats-competition", "kernel_id": "24355925"}, {"ref": "shaukathussain/cat-vs-dog-with-transfer-learning", "kernel_id": "24486656"}, {"ref": "lukemahan/fast-ai-lesson-2", "kernel_id": "24769289"}, {"ref": "paulkellar1997/cnn-cd2-testing", "kernel_id": "24997294"}, {"ref": "martymavis/notebooke8b19cc7fc", "kernel_id": "24214947"}, {"ref": "mariateplinskaya/cats-dogs-cnn-hub-1", "kernel_id": "24346288"}, {"ref": "mariateplinskaya/cats-dogs-cnn-2", "kernel_id": "24321820"}, {"ref": "mariateplinskaya/cnn-cats-dogs-analysis", "kernel_id": "24222186"}, {"ref": "mihiragarwal1710/cat-vs-dog-with-fastai", "kernel_id": "24625064"}, {"ref": "paulamaran/cats-vs-dog-using-imagedatagenerator", "kernel_id": "24728151"}, {"ref": "paulamaran/cats-vs-dog-using-transfer-learning", "kernel_id": "24908855"}, {"ref": "nprandom/dogs-vs-cats", "kernel_id": "24635988"}, {"ref": "cvtrongduc/cat-vs-dog-with-transfer-learning", "kernel_id": "24765674"}, {"ref": "mrinalmathur/intro-to-deep-learning-classification-problem", "kernel_id": "25013730"}, {"ref": "defcodeking/dogs-vs-cats-vs-pytorch-cnn-0-19607", "kernel_id": "25801966"}, {"ref": "yasminsk/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "25823672"}, {"ref": "goen01/chapter6-exercise-cnn-dogvscat", "kernel_id": "25060674"}, {"ref": "kyuhwanjung2/dogsvscats-2022", "kernel_id": "25664960"}, {"ref": "lihui000001/notebookc7154ac6b9", "kernel_id": "25034280"}, {"ref": "joonghokim/dogs-and-cats-classification-cnn", "kernel_id": "25084171"}, {"ref": "nizarkarkar/cat-vs-dog-with-details", "kernel_id": "25934609"}, {"ref": "ansumansamal/dogs-vs-cats", "kernel_id": "25380345"}, {"ref": "shivamanhar/tensorflow-cnn-image-classification", "kernel_id": "26567390"}, {"ref": "shivamanhar/open-cv2-basic", "kernel_id": "26990121"}, {"ref": "shivamanhar/keras-cnn-categoricalcrossentropy", "kernel_id": "26766583"}, {"ref": "dalekseevspb/dsu-4-cvml-4-hw-2-corr-7-kaggle-cats-vs-dogs", "kernel_id": "26765526"}, {"ref": "karimakmal/tensorflow-seq-cnn", "kernel_id": "26796156"}, {"ref": "wasdac/dogs-vs-cats-transfer-learning", "kernel_id": "26666222"}, {"ref": "guoyihao/vit-test", "kernel_id": "26727456"}, {"ref": "nikitaaparovich/d-vs-c-v1", "kernel_id": "26851807"}, {"ref": "ipolas/dogs-vs-cats-redux-kernels-edition", "kernel_id": "27405601"}, {"ref": "dannymathew/6-transfer-learning-vgg16", "kernel_id": "27704432"}, {"ref": "er09pooja/dogs-vs-cats-two-cnn-models-vgg-16-resnet-50", "kernel_id": "27741349"}, {"ref": "kyuhwanjung2/dogs-cats-2022", "kernel_id": "27206146"}, {"ref": "arezoodahesh/cats-vs-dogs-augmentation-transfer-learning", "kernel_id": "27511739"}, {"ref": "houssemaminetouihri/cat-vs-dog-with-details", "kernel_id": "27726223"}, {"ref": "jiaowoguanren/classification-bestacc-0-99", "kernel_id": "27670194"}, {"ref": "alexanderyyy/catsdogs2-fastai2-2022", "kernel_id": "27966734"}, {"ref": "xiongmeiyu/xgb-lr-gpu-cats-vs-dogs-with-eb7-ns-8f0c38", "kernel_id": "27062689"}, {"ref": "anothertrain/dogs-vs-cats-dry-merge", "kernel_id": "27095938"}, {"ref": "shalaby97/dogs-vs-cats-using-cnn", "kernel_id": "28465389"}, {"ref": "shalaby97/dogs-vs-cats-using-transfer-learning-xception", "kernel_id": "28643503"}, {"ref": "kartkaggle/notebookf47384be46", "kernel_id": "28581840"}, {"ref": "kirolosatef/dogs-vs-cats-classification-using-pre-trained", "kernel_id": "28317748"}, {"ref": "myominhtet/dogs-vs-cats-using-cnn-with-eda", "kernel_id": "28766494"}, {"ref": "anujpanthri/fastai-cat-dog-notebook", "kernel_id": "28401886"}, {"ref": "anujpanthri/cat-dog-notebook", "kernel_id": "28067207"}, {"ref": "lujainghazalat/lulu-cnn1", "kernel_id": "28713378"}, {"ref": "abdullahjamour/cats-and-dogs-classification", "kernel_id": "28620736"}, {"ref": "ayamohamadmoualem/cats-and-dogs", "kernel_id": "28482467"}, {"ref": "abdulrehmankaggle/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "28355210"}, {"ref": "abdulrehmankaggle/keras-resnet", "kernel_id": "28355456"}, {"ref": "qwertyuioplain/datasc-dogs-vs-cats-transfer-learning-efficientnet", "kernel_id": "28527975"}, {"ref": "uchiyamatomoki/vgg16-edge", "kernel_id": "28945201"}, {"ref": "uchiyamatomoki/notebook36682ccbfa", "kernel_id": "28776330"}, {"ref": "uchiyamatomoki/notebook5f4546edd6", "kernel_id": "28794835"}, {"ref": "saichanmaru/notebookc4584ea8b2", "kernel_id": "28557159"}, {"ref": "kawaiyoshikazu/notebookedac047b12", "kernel_id": "28924489"}, {"ref": "tes2222/cat-vs-dog-redux", "kernel_id": "28563792"}, {"ref": "reinakanishi/datascience-2022-k502-1", "kernel_id": "28751023"}, {"ref": "kawaharada/datasience-2022", "kernel_id": "28769344"}, {"ref": "yutonakaiyutonakai/datasience-2022", "kernel_id": "28569787"}, {"ref": "kokikoyanagi/datascience2022-4han", "kernel_id": "28981670"}, {"ref": "okubirakifumihiro/dog-vs-cat-group5", "kernel_id": "28617785"}, {"ref": "ymdkik/datascience2022-k502-6", "kernel_id": "28763763"}, {"ref": "nyoryuugo/kadai", "kernel_id": "28956668"}, {"ref": "nagahiromai/notebook06fa5c6f69", "kernel_id": "28952635"}, {"ref": "futamatsuoka/1-detascience-2022", "kernel_id": "28563760"}, {"ref": "taniguchitakuya/dvc-dataaugmentation", "kernel_id": "28592629"}, {"ref": "c612235021/notebook1c2a10dc03", "kernel_id": "28987481"}, {"ref": "zannen/dog-vs-cat-translate-efficientnetb3", "kernel_id": "28990441"}, {"ref": "makaronex/notebook4c5143a136", "kernel_id": "28563215"}, {"ref": "makaronex/aafinal-kadai", "kernel_id": "28893187"}, {"ref": "tunguz/cats-vs-dogs-with-eb7-ns-and-rapids-svc-2", "kernel_id": "29535657"}, {"ref": "tunguz/cats-vs-dogs-with-eb7-ns-and-sklearn-svc", "kernel_id": "29536383"}, {"ref": "tunguz/cats-vs-dogs-with-eb7-ns-and-sklearnex-svc", "kernel_id": "29536092"}, {"ref": "naubergois/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "29469321"}, {"ref": "joey0201/pytorch-sample-training-templete", "kernel_id": "29146546"}, {"ref": "ioannisf/dogs-vs-cats-with-transfer-learning", "kernel_id": "29171500"}, {"ref": "yagli18/dogs-vs-cats-redux-kernels-edition", "kernel_id": "29966090"}, {"ref": "kemalfarukbaaran/cats-dogs", "kernel_id": "29795023"}, {"ref": "ayamohamadmoualem/fork-of-cats-and-dogs", "kernel_id": "29151201"}, {"ref": "abhishekr4agh4v/dogs-vs-cats-tf-vgg16", "kernel_id": "29126222"}, {"ref": "urbijagoswami/notebookc780444ac4", "kernel_id": "29693472"}, {"ref": "mrotoi/datascience-2022-group4", "kernel_id": "29062831"}, {"ref": "kenshisan/notebookc8b8a11032", "kernel_id": "29138439"}, {"ref": "hayashii/datascience-grope3", "kernel_id": "29026159"}, {"ref": "yutonakaiyutonakai/test-k507", "kernel_id": "29011763"}, {"ref": "nagahiromai/notebook736a281cec", "kernel_id": "29114943"}, {"ref": "eekimura/dogs-vs-cats", "kernel_id": "29118637"}, {"ref": "kentanishikawa/datascience2022-nishikawa", "kernel_id": "29014493"}, {"ref": "tunguz/cats-vs-dogs-with-env2l-and-sklearn-svc", "kernel_id": "30648513"}, {"ref": "tunguz/cats-vs-dogs-with-env2m-and-sklearn-svc", "kernel_id": "30648430"}, {"ref": "tunguz/cats-vs-dogs-with-env2s-and-sklearn-svc", "kernel_id": "30648245"}, {"ref": "shadowhat/exercise-dog-vs-cat-with-efficientnet-gpu", "kernel_id": "30658140"}, {"ref": "talibilat/dogs-and-cats", "kernel_id": "30461889"}, {"ref": "ahmadhassan061/lesson0", "kernel_id": "31562446"}, {"ref": "tttrrraaahhh/profile-and-anfas", "kernel_id": "31531380"}, {"ref": "zacharylabossiere1/dogs-vs-cats-keras-solution", "kernel_id": "31648493"}, {"ref": "sonujha090/dogs-vs-cats-pytorch", "kernel_id": "32989956"}, {"ref": "goen01/uos-aiba-2202-dogsvscats", "kernel_id": "32221855"}, {"ref": "siminliao/dogs-vs-cats", "kernel_id": "32926418"}, {"ref": "carrypotter/dogs-vs-cats-cnn", "kernel_id": "32003950"}, {"ref": "shahidulugvcse/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "32404535"}, {"ref": "parkminhu/build-model", "kernel_id": "32221840"}, {"ref": "pierrelotte/exercise-5-cnn-cats-vs-dogs", "kernel_id": "32944546"}, {"ref": "eleaturc/exercise5-cat-vs-dog", "kernel_id": "32936975"}, {"ref": "ic10503/image-classifier-with-fastai", "kernel_id": "33744167"}, {"ref": "nashaatrjouda/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "33702784"}, {"ref": "mustafatayyipbayram/exercise-5-with-alexnet", "kernel_id": "33202863"}, {"ref": "piton4ik/notebook85334812f2", "kernel_id": "33837869"}, {"ref": "hardeybisey/dog-cat-classification-with-cnn", "kernel_id": "33809786"}, {"ref": "phannguyen0605/cat-and-dog-classification", "kernel_id": "33373349"}, {"ref": "stenglx/exercise-5-cnn-cats-vs-dogs", "kernel_id": "33937997"}, {"ref": "takiba/kaggle-book-gokui-chapter3-dryrun", "kernel_id": "34599151"}, {"ref": "denishotsuliak/xgb-lr-gpu-cats-vs-dogs-with-eb7-ns", "kernel_id": "34182128"}, {"ref": "wasp004/cats-vs-dogs-resnet-18", "kernel_id": "34515807"}, {"ref": "denisrudakov/transferlearning-resnet-cnn", "kernel_id": "34637202"}, {"ref": "kattat/dogs-cats-image-classification-with-cnn", "kernel_id": "34885411"}, {"ref": "fid0did0/dogs-vs-cats-transfer-learning-fine-tuning", "kernel_id": "34881435"}, {"ref": "atlkor/dogs-vs-cats-lab-1-nn-binary-classification", "kernel_id": "35804092"}, {"ref": "zhongyanmin/cat-vs-dog-with-cnn", "kernel_id": "35538193"}, {"ref": "alexkolesnik/hw-kolesnik-cv2-3", "kernel_id": "35945280"}, {"ref": "otlaadisakhwae/cnn-dogs-vs-cats-classification", "kernel_id": "35356223"}, {"ref": "nhuerp00/cats-vs-dogs-resnet50-transfer-learning", "kernel_id": "35023406"}, {"ref": "ayushmehar7/feature-extractor-fine-tuning-with-keras-1a6b49", "kernel_id": "36760429"}, {"ref": "kyuhwanjung2/dogsvscats-2023", "kernel_id": "36873906"}, {"ref": "shadowhat/exercise-apply-vit-to-dog-vs-cat", "kernel_id": "36460961"}, {"ref": "alenashubina/cat-vs-dog", "kernel_id": "36911265"}, {"ref": "ahmedashrafahmed/dogs-vs-cats-redux-kernels-using-resnet50-98", "kernel_id": "36434578"}, {"ref": "yakubsadlil/cat-vs-dog-easy-cnn-for-beginners", "kernel_id": "36749907"}, {"ref": "srimansiramesh/flowers", "kernel_id": "37517840"}, {"ref": "hansahettiarachchi/cats-and-dogs", "kernel_id": "37497757"}, {"ref": "yunsuxiaozi/cats-and-dogs-for-beginners-cnn-accuracy-0-75", "kernel_id": "37200268"}, {"ref": "esraanafaa/cv1-cats-vs-dogs", "kernel_id": "38195297"}, {"ref": "tsunamiliu/catdog", "kernel_id": "38164373"}, {"ref": "kyufuru/catdogkeras", "kernel_id": "38391199"}, {"ref": "kyufuru/catdog", "kernel_id": "38096309"}, {"ref": "michess10/xgb-lr-gpu-cats-vs-dogs-with-eb7-ns-ac31c9", "kernel_id": "38180929"}, {"ref": "junhyeok99/image-classification-pipeline-with-pytorch", "kernel_id": "39478866"}, {"ref": "misunjoo/kaggle-pattern-dataset-cross-validation", "kernel_id": "39572432"}, {"ref": "olcaybolat1/plain-cnn-example-cats-vs-dogs", "kernel_id": "39157834"}, {"ref": "sebastiengac/cat-or-dog-mlp", "kernel_id": "39591829"}, {"ref": "sebastiengac/cat-or-dog-data-augmented-inceptionv3-and-cnn", "kernel_id": "39921621"}, {"ref": "sebastiengac/cat-or-dog-inceptionv3-and-cnn", "kernel_id": "39887185"}, {"ref": "akshitsharma1/cat-vs-dog-easy-resnet-tutorial-for-beginners", "kernel_id": "39505089"}, {"ref": "alionsss/pytorch-resnet34-fruits", "kernel_id": "40089077"}, {"ref": "yuriykrasilnikov/memvit", "kernel_id": "40533480"}, {"ref": "shikameow/conv2d-net-on-tensorflow-easy-for-bginers", "kernel_id": "40163263"}, {"ref": "alfamame/pytorch-imagefolder-resnet50", "kernel_id": "40743650"}, {"ref": "kaipo1467/dog-vs-cats", "kernel_id": "40726709"}, {"ref": "isps737/kaggle-gokui-chapter3", "kernel_id": "40383482"}, {"ref": "maryanalyze/cat-or-dog-basic-cnn-model-using-pytorch", "kernel_id": "40635956"}, {"ref": "mimimio/notebookdd2057ffae", "kernel_id": "40882301"}, {"ref": "hyojunyoung/catdog-cnn-ver1", "kernel_id": "40849076"}, {"ref": "huyquangdn/cat-vs-dog-torch", "kernel_id": "40038263"}, {"ref": "katattu/notebook0e6f7cda84", "kernel_id": "40753459"}, {"ref": "yongdave/notebookcbccef5e55", "kernel_id": "40866509"}, {"ref": "nakamichi6123/orijinal-after-2023-0708", "kernel_id": "40866916"}, {"ref": "nakamichi6123/orijinal-after-2023-0708-hurui", "kernel_id": "40836492"}, {"ref": "nakamichi6123/orijinal-before-2023-0708", "kernel_id": "40836243"}, {"ref": "nakamichi6123/original-2023-0707", "kernel_id": "40729708"}, {"ref": "myomyomyo511/dog-vs-cat", "kernel_id": "40786745"}, {"ref": "higashimototakahiro/notebook709e1872cb", "kernel_id": "40784701"}, {"ref": "kodaiikuta/notebook468afc7b3d", "kernel_id": "40786894"}, {"ref": "issssshy/datasience2023-issssshy", "kernel_id": "40705391"}, {"ref": "nomokazu/notebook0ebf4b619f", "kernel_id": "40787191"}, {"ref": "syufuji/notebookbf154e58b6", "kernel_id": "40784853"}, {"ref": "tonoyuu/dog-vs-cats", "kernel_id": "40784179"}, {"ref": "changyiucheng/notebook8f8816c226", "kernel_id": "40868789"}, {"ref": "kishiue/inutoneko", "kernel_id": "40784589"}, {"ref": "maruyamajunya2/notebook5d5332808e", "kernel_id": "40789654"}, {"ref": "gotokaito/2023t", "kernel_id": "40784322"}, {"ref": "multiplier1024/dog-vs-cats", "kernel_id": "40784715"}, {"ref": "multiplier1024/notebook1e9cccbfec", "kernel_id": "40784876"}, {"ref": "c612332019/notebook9f2542aede", "kernel_id": "40784798"}, {"ref": "ohgatasyogo/datasience-2023", "kernel_id": "40567241"}, {"ref": "kotarohosono/notebook11f0a13a9f", "kernel_id": "40785512"}, {"ref": "karura25/notebooka65cc1ca50", "kernel_id": "40934165"}, {"ref": "koichirogomi/notebook0e6f7cda84", "kernel_id": "40986831"}, {"ref": "shugangjia/dogs-vs-cats-redux-kernels-edition-j", "kernel_id": "40569042"}, {"ref": "ishimarui/notebook32e3cb1dd6", "kernel_id": "40784699"}, {"ref": "sakuraimiki/data-science-3rd-group", "kernel_id": "40787739"}, {"ref": "tu23yurih/notebook-20230707", "kernel_id": "40784510"}, {"ref": "hirokikojima01/data-science-group3", "kernel_id": "40784725"}, {"ref": "yamamotosora0729/notebook6b748af2b3", "kernel_id": "40618475"}, {"ref": "tomoakioyama/notebookb5c6d47538", "kernel_id": "40983874"}, {"ref": "miyamotoshota/notebookbf154e58b6", "kernel_id": "40784773"}, {"ref": "somayoshino/notebook9857df6421", "kernel_id": "40784708"}, {"ref": "yoohyeonroh/notebookc340acd269", "kernel_id": "40862073"}, {"ref": "rasaviharhouse/cat-or-dog-pytorch-v2", "kernel_id": "41745193"}, {"ref": "yakinoki/dogs-vs-cats-redux", "kernel_id": "41957249"}, {"ref": "akihiromatsuyama/dogcat333-notebook", "kernel_id": "41291892"}, {"ref": "akihiromatsuyama/cats-dogs", "kernel_id": "41019133"}, {"ref": "junhyeok99/basic-notebook-for-image-classification", "kernel_id": "41463143"}, {"ref": "melnikdm/cats-vs-dogs-classification-resnet50", "kernel_id": "41594287"}, {"ref": "spacecowgirl/dogsvscats-cnn", "kernel_id": "41413145"}, {"ref": "linhledieu343/dataloaders-practice", "kernel_id": "41465342"}, {"ref": "swatibajaj54/dogs-vs-cats-redux-kernels-edition", "kernel_id": "41256262"}, {"ref": "mimimio/notebook11f0a13a9f", "kernel_id": "41060834"}, {"ref": "mimimio/notebook72b032475a", "kernel_id": "41469814"}, {"ref": "kishanvavdara/image-classification-cats-vs-dogs", "kernel_id": "41256783"}, {"ref": "eidosama/dog-vs-cat-cnn-model", "kernel_id": "41870903"}, {"ref": "katattu/notebook6368a23001", "kernel_id": "41526237"}, {"ref": "yoeshi/notebook15cc610d03", "kernel_id": "41287591"}, {"ref": "anwufu/notebook23a0112a45g", "kernel_id": "41296110"}, {"ref": "me0511/2023-ds-me0511", "kernel_id": "41519448"}, {"ref": "me0511/0714-ds", "kernel_id": "41060927"}, {"ref": "nenehashimura/notebooke482218aad", "kernel_id": "41523391"}, {"ref": "kydatascience/dogs-vs-cats-3", "kernel_id": "41380737"}, {"ref": "kydatascience/dogs-vs-cats-2", "kernel_id": "41060773"}, {"ref": "kydatascience/dogs-vs-cats-1", "kernel_id": "41015854"}, {"ref": "maedaakihito/notebook798f31ce6e", "kernel_id": "41525585"}, {"ref": "yuyaptpt/notebook780e6e88f5", "kernel_id": "41566367"}, {"ref": "yuutata/notebookca4d70d276", "kernel_id": "41524305"}, {"ref": "yusakuichino/test2", "kernel_id": "41415615"}, {"ref": "yusakuichino/test1", "kernel_id": "41412768"}, {"ref": "yusakuichino/notebook38f467be13", "kernel_id": "41401864"}, {"ref": "yusakuichino/test5", "kernel_id": "41432120"}, {"ref": "yusakuichino/test4", "kernel_id": "41425197"}, {"ref": "yusakuichino/notebooka591ba8dba", "kernel_id": "41289159"}, {"ref": "yusakuichino/notebook76762d810b", "kernel_id": "41307792"}, {"ref": "hirokitagami/notebooka87d5c55bd", "kernel_id": "41602653"}, {"ref": "yumakira/notebooka34a7e46f5", "kernel_id": "41523630"}, {"ref": "kawakamitaichiro/notebook06e59a7921", "kernel_id": "41523983"}, {"ref": "yasumclover/dog-vs-cats", "kernel_id": "41886320"}, {"ref": "nakamichi6123/vgg16-test", "kernel_id": "41055647"}, {"ref": "nakamichi6123/datascience-vgg16finetuning-kyo", "kernel_id": "41465084"}, {"ref": "nakamichi6123/datascience-vgg16finetuning", "kernel_id": "41548265"}, {"ref": "myomyomyo511/data-science-group3", "kernel_id": "41523365"}, {"ref": "ysdryhi/team2-yasuda-dogs-vs-cats-redux-kernels-edition", "kernel_id": "41215159"}, {"ref": "miyumatsuhiro/notebook4371c2697d", "kernel_id": "41523616"}, {"ref": "higashimototakahiro/data-science-group3", "kernel_id": "41519421"}, {"ref": "namelessmc/dogs-vs-cats-vgg16-fine-tuning", "kernel_id": "41444864"}, {"ref": "namelessmc/dogs-vs-cats-with-vgg16-fine-tuning", "kernel_id": "41451664"}, {"ref": "nomokazu/2023t", "kernel_id": "41525028"}, {"ref": "amatohoge/notebook7c7c1d84aa", "kernel_id": "41218597"}, {"ref": "maruta7/datascience-vgg16finetuning-54c85b", "kernel_id": "41589471"}, {"ref": "matsuokas/2023t", "kernel_id": "41484959"}, {"ref": "ichimura1931/notebookf1e22246ad", "kernel_id": "41551062"}, {"ref": "tonoyuu/notebook561d3fd240", "kernel_id": "41060814"}, {"ref": "tonoyuu/dog-vs-cats-a9b092", "kernel_id": "41057780"}, {"ref": "nishitaniryuki/notebooka0b95c6515", "kernel_id": "41026981"}, {"ref": "changyiucheng/notebooka18aabb3a2", "kernel_id": "41516627"}, {"ref": "kitayusuke/notebook8ed80ab612", "kernel_id": "41517725"}, {"ref": "us1210/notebook11f0a13a9f-e57eb7", "kernel_id": "41061520"}, {"ref": "multiplier1024/notebookc5154d765c", "kernel_id": "41552191"}, {"ref": "multiplier1024/notebook7a50438ded", "kernel_id": "41293116"}, {"ref": "ktaokaryota/datascience-2023-group6", "kernel_id": "41239571"}, {"ref": "ktaokaryota/2023t", "kernel_id": "41499176"}, {"ref": "ichitake/dogs-vs-cats-with-vgg16-fine-tuning", "kernel_id": "41451734"}, {"ref": "koshimosojiro/notebook48010452f5", "kernel_id": "41524461"}, {"ref": "c612332019/notebookc5154d765c", "kernel_id": "41534270"}, {"ref": "ohgatasyogo/datasience-2023-team3-dvc", "kernel_id": "41291060"}, {"ref": "keisakisa/dogs-cats-1", "kernel_id": "41061312"}, {"ref": "ryuseifukunaga/data-science-horikawa-group", "kernel_id": "41488215"}, {"ref": "kamekame26/datasience2023-kamekame-26", "kernel_id": "41522038"}, {"ref": "yonegen/notebook7a50438ded", "kernel_id": "41000792"}, {"ref": "yonegen/notebookc5154d765c", "kernel_id": "41292909"}, {"ref": "shimizukuta/notebookf48eb300c5", "kernel_id": "41525975"}, {"ref": "tgdaiki/dog-vs-cats-4dd5ec", "kernel_id": "41175480"}, {"ref": "nikumi293/notebookdad6081fd8", "kernel_id": "41550951"}, {"ref": "shunsukeyuyama/notebookc5154d765c", "kernel_id": "41560056"}, {"ref": "satoshidoto/notebookc5154d765c", "kernel_id": "41534219"}, {"ref": "ashidac6123/notebook3d1ba2eeb3", "kernel_id": "41524127"}, {"ref": "hirokimorit/notebook3917e52410", "kernel_id": "41524190"}, {"ref": "taematsumura/notebookccc0c47eb4", "kernel_id": "41599098"}, {"ref": "oyamayasufumi/notebook4f415c9316", "kernel_id": "41527781"}, {"ref": "runa0018/notebook34d61a3be5", "kernel_id": "41607033"}, {"ref": "kyoheiymmt/team2-cnn", "kernel_id": "41067818"}, {"ref": "yuuu04/datasience2023-yuuu04", "kernel_id": "41522077"}, {"ref": "shugangjia/notebookc07db53f9b", "kernel_id": "41557592"}, {"ref": "uenoyuto/notebook848ba6f879", "kernel_id": "41483938"}, {"ref": "kosukeseibutsu/notebook468afc7b3d-7e70af", "kernel_id": "41579501"}, {"ref": "kosukeseibutsu/notebook2f451b3b81", "kernel_id": "41597965"}, {"ref": "fukutanitomoki/notebookfb171138d1", "kernel_id": "41524786"}, {"ref": "matsudagenta/notebook11f0a13a9f-c5dd28", "kernel_id": "41061679"}, {"ref": "yuichiroshiota/dog-vs-cats", "kernel_id": "41524175"}, {"ref": "hirotonumae/notebook7319ebb55f", "kernel_id": "41524424"}, {"ref": "hirotonumae/notebook7c7c1d84aa", "kernel_id": "41543581"}, {"ref": "otsukiki/datascience-vgg16finetuning", "kernel_id": "41467690"}, {"ref": "otsukiki/date-science", "kernel_id": "41386882"}, {"ref": "otsukiki/datascience-vgg16finetuning-6b7dd6", "kernel_id": "41531536"}, {"ref": "otsukiki/date-science-otsuki", "kernel_id": "41534382"}, {"ref": "harutonakamura1/notebook468afc7b3d-7e70af", "kernel_id": "41609640"}, {"ref": "tokumaegawa/dogs-vs-cats-redux", "kernel_id": "41443652"}, {"ref": "hirokikojima01/test1-dog-vs-cat", "kernel_id": "41450550"}, {"ref": "yamamotosora0729/notebook8dbd3f1164", "kernel_id": "41523487"}, {"ref": "yamamotosora0729/notebook8c21703e27", "kernel_id": "41293792"}, {"ref": "kashinmorimoto/notebook6f060ecd28", "kernel_id": "41455162"}, {"ref": "sasakiao/notebook2d92eacbce", "kernel_id": "41416529"}, {"ref": "rune670190/notebook3bb382c7de", "kernel_id": "41588161"}, {"ref": "toyodarensei/notebookf740b0a65c", "kernel_id": "41577547"}, {"ref": "miyamotoshota/datascience2023-miyamoto", "kernel_id": "41402446"}, {"ref": "yamaguchiryoto/notebookcfc2e538f4", "kernel_id": "41506858"}, {"ref": "ueharataira/tensorflow-cnn-image-classification", "kernel_id": "41523427"}, {"ref": "ueharataira/notebook1319d1c778", "kernel_id": "41524130"}, {"ref": "naoyaaaaaa/notebooke1e3877d80", "kernel_id": "41491610"}, {"ref": "hiraisyuma/dogcat-33ver2-notebook", "kernel_id": "41023434"}, {"ref": "hiraisyuma/dogcat333-notebook-2", "kernel_id": "41525619"}, {"ref": "noueuta/dogsvscats-cnn-19b4aa", "kernel_id": "41609349"}, {"ref": "noueuta/dogs-vs-cats-0728", "kernel_id": "41523742"}, {"ref": "keiki1006/datasience2023-itokeiki", "kernel_id": "41522436"}, {"ref": "tatuyaamide/datasience2023-tatuya", "kernel_id": "41523989"}, {"ref": "tsuyoshitakahina/datasience2023-takashina", "kernel_id": "41522495"}, {"ref": "hoshinoissei/dogvscat", "kernel_id": "41523405"}, {"ref": "hoshinoissei/tensorflow-cnn-image-classification", "kernel_id": "41448439"}, {"ref": "ayahazem6103/cats-vs-dogs-classification-with-cnn-and-vgg16", "kernel_id": "42998970"}, {"ref": "oladipupoolawoye/dogs-vs-cats-imageclassification", "kernel_id": "42819519"}, {"ref": "anjanikumar2003/cats-vs-dogs", "kernel_id": "42827890"}, {"ref": "anandvijaykumar/dogs-and-cats-image-classification", "kernel_id": "42556751"}, {"ref": "shubhagrawal2110/dogs-vs-cats-redux", "kernel_id": "42732031"}, {"ref": "draculemihawk/dogs-vs-cats-redux", "kernel_id": "42705217"}, {"ref": "draculemihawk/dogsvscatsredux", "kernel_id": "42771199"}, {"ref": "draculemihawk/dogs-vs-cats", "kernel_id": "42831307"}, {"ref": "sachinpatil1280/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "42655261"}, {"ref": "vickyuvu/assignment8", "kernel_id": "42010324"}, {"ref": "charxl/pytorch-resnet18-to-dogs-vs-cats", "kernel_id": "42689221"}, {"ref": "suyashviraaj/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "43900811"}, {"ref": "samllss/cats-and-dogs", "kernel_id": "43496952"}, {"ref": "mhmmadalewi/classifier-dogs-or-cats-val-acc-98-5", "kernel_id": "43695210"}, {"ref": "yunsuxiaozi/competiton-last-submission-cats-dogs", "kernel_id": "43579510"}, {"ref": "maryanalyze/alexnet-pytorch-from-scratch-transfer-learning", "kernel_id": "43237284"}, {"ref": "maryanalyze/googlenet-pytorch-from-scratch-transfer-learning", "kernel_id": "43838766"}, {"ref": "agshiv92/cats-vs-dogs-the-feline-canine-showdown-vs", "kernel_id": "44040941"}, {"ref": "maryanalyze/resnet-pytorch-from-scratch-transfer-learning", "kernel_id": "44402728"}, {"ref": "boohdaaaan/dogs-vs-cats-resnet", "kernel_id": "44606918"}, {"ref": "walzii/classifier-dogs-or-cats-val-acc-95", "kernel_id": "44022139"}, {"ref": "carlosezmez/cnn-cuny-tech-prep", "kernel_id": "45364602"}, {"ref": "andyvolkov/notebook7432305670", "kernel_id": "45740683"}, {"ref": "sdalab1402/cnnstem-vit", "kernel_id": "45625453"}, {"ref": "gergesnabilnaeemfarg/feature-extractor-fine-tuning-with-keras", "kernel_id": "46581213"}, {"ref": "lounnacisarah/a-comprehensive-guide-to-transfer-learning", "kernel_id": "46270583"}, {"ref": "romanbrian/hw-cat-dog", "kernel_id": "47776878"}, {"ref": "nourelhoudabenazzoug/tp-2-mla-transfer-ler", "kernel_id": "47963193"}, {"ref": "shorya22/cat-vs-dog-ipynb", "kernel_id": "47485702"}, {"ref": "osamaabobakr/test-90-without-pre-training-model", "kernel_id": "47530841"}, {"ref": "osamaabobakr/mobilenet-testing-98", "kernel_id": "47530606"}, {"ref": "jhayjohnson/vgg16-configuration", "kernel_id": "47481066"}, {"ref": "tendaimuzhange/cats-vs-dogs", "kernel_id": "47475848"}, {"ref": "shahidul034/cancer-detection-using-resnet50", "kernel_id": "48967583"}, {"ref": "skrymr/mldl-cats-vs-dogs", "kernel_id": "48578056"}, {"ref": "xxxxxxxyyyyyyyyy/dogvscat-morsonsebastiano", "kernel_id": "48075079"}, {"ref": "lngphmtr/exercise-1-trung-luong", "kernel_id": "48493566"}, {"ref": "artemikonnikov/cats-vs-dogs-adopted-alexnet-pytorch", "kernel_id": "48481129"}, {"ref": "revathimuthukrishnan/dog-vs-cat", "kernel_id": "48558141"}, {"ref": "kushgadodia/notebook0209849ae7", "kernel_id": "48119408"}, {"ref": "violetta00/dogsvscats", "kernel_id": "48875950"}, {"ref": "taitruong123/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "48111861"}, {"ref": "hemalathaaae/exercise-4-dogvs-cat-classifcation", "kernel_id": "49450977"}, {"ref": "aakash143rathee/exercise-4", "kernel_id": "49314023"}, {"ref": "nonameforyougoodsir/notebook3ff7303adb", "kernel_id": "49451424"}, {"ref": "jerzypawlik/cats-dogs-redux", "kernel_id": "49319009"}, {"ref": "jerzypawlik/cats-dogs-project", "kernel_id": "49802379"}, {"ref": "paulabal/dogs-vs-cats-cnn", "kernel_id": "49375321"}, {"ref": "alessandromajumba/ex4-ml", "kernel_id": "49143541"}, {"ref": "lorenzozanolin/dog-vs-cats-zanolin", "kernel_id": "49249514"}, {"ref": "federicoscrobe/4-exercise-ml-dl", "kernel_id": "49261868"}, {"ref": "filipkjellgren/cats-vs-dogs", "kernel_id": "49246505"}, {"ref": "oviemichaelodafe/dogs-v-cats-ovie-michael-odafe", "kernel_id": "49449684"}, {"ref": "leventeszabo1/dog-v-cats-ml-dl", "kernel_id": "49463905"}, {"ref": "gaganreddygt/cat-vs-dog", "kernel_id": "49422455"}, {"ref": "naubergois/cats-or-dogs-using-cnn", "kernel_id": "50912682"}, {"ref": "nikitooos/dogs-cats", "kernel_id": "51862075"}, {"ref": "sarath02003/experment-7", "kernel_id": "51524917"}, {"ref": "rahulsingh04/catdog-98-accuracy", "kernel_id": "52225538"}, {"ref": "nguyencongcuong/convnext-cats-vs-dogs-image-classification", "kernel_id": "53394480"}, {"ref": "sammyarmenta/cat-vs-dog", "kernel_id": "53263026"}, {"ref": "tusharvilekar/dogs-vs-cats-two-cnn-models-vgg-16-resnet-50", "kernel_id": "54827693"}, {"ref": "viktormoskovchenko/notebook7605109b17", "kernel_id": "54362344"}, {"ref": "ifeoluwaoduwaiye/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "55704655"}, {"ref": "sunnyraz/dog-vs-cat", "kernel_id": "56991153"}, {"ref": "gautamrmenon/autoaugmentation-techniques", "kernel_id": "56706540"}, {"ref": "juliakim319/week3", "kernel_id": "57904400"}, {"ref": "vikas70607/cats-vs-dog", "kernel_id": "57228656"}, {"ref": "impulzzz/notebook714a0352e3", "kernel_id": "57566482"}, {"ref": "khaledshaheen/dog-or-cat-mobilenet-v2-98", "kernel_id": "57542623"}, {"ref": "iptihalyousri/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "57828372"}, {"ref": "ajinkyakolhe112/cats-vs-dogs-simple-pytorch-pipeline", "kernel_id": "58985689"}, {"ref": "germankoch/cats-dogs-autoencoder", "kernel_id": "58567311"}, {"ref": "wjddms00/dog-vs-cat", "kernel_id": "58004300"}, {"ref": "ajinkyakolhe112/cats-vs-dogs-iterative-model-building", "kernel_id": "59237296"}, {"ref": "ajinkyakolhe112/cats-vs-dogs-transfer-learning-tutorial", "kernel_id": "59278547"}, {"ref": "ajinkyakolhe112/intro-to-huggingface-transformers-diffusers", "kernel_id": "59827108"}, {"ref": "ajinkyakolhe112/image-generation-using-diffusion-cats-vs-dogs", "kernel_id": "59947475"}, {"ref": "mvvppp/inference-v2", "kernel_id": "59750310"}, {"ref": "mvvppp/m3-l5-2", "kernel_id": "59275830"}, {"ref": "hanviksuruboyina/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "59996140"}, {"ref": "paksu0/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "59057547"}, {"ref": "slavikpanasiuk/homework-ml-7", "kernel_id": "59751296"}, {"ref": "slavikpanasiuk/homeworkml-5", "kernel_id": "59595892"}, {"ref": "lainconn/transfer-learning-with-xception-r", "kernel_id": "59492253"}, {"ref": "ajinkyakolhe112/image-generation-advanced-diffusion-techniques", "kernel_id": "60507841"}, {"ref": "julichitai/notebook250036b532", "kernel_id": "60842364"}, {"ref": "lainconn/grad-cam-r-tensorflow2", "kernel_id": "60444524"}, {"ref": "immuhammadumair/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "61942326"}, {"ref": "lihaibohhh1/vgg16", "kernel_id": "61832384"}, {"ref": "minhan6559/simple-transfer-learning-with-resnet50", "kernel_id": "61249728"}, {"ref": "ryu1175/notebook1075e2be44", "kernel_id": "61583433"}, {"ref": "iichihiro/datascience-group", "kernel_id": "61582294"}, {"ref": "nikujaga/cat-dog", "kernel_id": "61943931"}, {"ref": "kenta4242/dogs-vs-cats", "kernel_id": "61933171"}, {"ref": "diegomarado/data-science", "kernel_id": "61582987"}, {"ref": "nok009/notebook-pytorch", "kernel_id": "61119041"}, {"ref": "fuuuuuuuuu/notebookf9d6b56d31", "kernel_id": "61582160"}, {"ref": "toramarusan/notebook72b032475ab", "kernel_id": "61583203"}, {"ref": "hayatohasui/notebook561d3fd240", "kernel_id": "61573868"}, {"ref": "ag4024/notebook570c411067", "kernel_id": "61582380"}, {"ref": "koheiy13/notebookfc54ccb070", "kernel_id": "61696648"}, {"ref": "rikutoyoshikawa/notebookedb165e817", "kernel_id": "61582327"}, {"ref": "aayushkubba/cats-vs-dogs-image-classification-using-cnn", "kernel_id": "62883808"}, {"ref": "banban3/datascience-vgg16", "kernel_id": "62384473"}, {"ref": "teramo/notebook-pytorch", "kernel_id": "62410519"}, {"ref": "komkom061/datasciencesubmission", "kernel_id": "62749809"}, {"ref": "li1827634/notebookda5e2c5ea9", "kernel_id": "62010474"}, {"ref": "uekkyan/datascience-uekkyan", "kernel_id": "62435987"}, {"ref": "uekkyan/datascience-uekkyan-code", "kernel_id": "62803119"}, {"ref": "onepineman/catdog-onepineman", "kernel_id": "62468470"}, {"ref": "onepineman/07261949", "kernel_id": "62810412"}, {"ref": "onepineman/catsdogs-onepineman", "kernel_id": "62802001"}, {"ref": "edcba54321/notebookfd89679214", "kernel_id": "62435903"}, {"ref": "tomoki07/datascience-group8", "kernel_id": "62799607"}, {"ref": "tomoki07/dogs-cat-1", "kernel_id": "62434571"}, {"ref": "haramomoka/datascience", "kernel_id": "62626069"}, {"ref": "bob1200/notebook18376ba49b", "kernel_id": "62092961"}, {"ref": "natsmqq/notebook1075e2be40", "kernel_id": "62673799"}, {"ref": "dekatsuyo/datascience-9-1", "kernel_id": "62601786"}, {"ref": "kootarou/datascience-dogs-vs-cats-redux-kernels-edition", "kernel_id": "62436198"}, {"ref": "kootarou/data-science-dog-vs-cats", "kernel_id": "62803133"}, {"ref": "chonboo/group-8", "kernel_id": "62009312"}, {"ref": "chonboo/data-science-2024", "kernel_id": "62420330"}, {"ref": "om0526/notebook82b05b6e44", "kernel_id": "62743511"}, {"ref": "om0526/cat-dog", "kernel_id": "62731517"}, {"ref": "yoshikage1/notebook1b14196d30", "kernel_id": "62509052"}, {"ref": "youbai/cat-dog", "kernel_id": "62436444"}, {"ref": "youbai/notebook2c8ca2a2d4", "kernel_id": "62806400"}, {"ref": "fuuuuuuuuu/wannyan-cea92d", "kernel_id": "62435025"}, {"ref": "toramarusan/notebook1075e2be444", "kernel_id": "62559579"}, {"ref": "takechin/datascience-group", "kernel_id": "62751899"}, {"ref": "or1618/notebookb24cf5bdbc", "kernel_id": "62772018"}, {"ref": "pirikara/datascience", "kernel_id": "62010167"}, {"ref": "hayatohasui/wannyanhy014", "kernel_id": "62027862"}, {"ref": "koushi11111/notebook5ccad8da2a", "kernel_id": "62687162"}, {"ref": "ag4024/notebook6b8bc86743", "kernel_id": "62627886"}, {"ref": "ag4024/datascience-group-a7b1cf", "kernel_id": "62629158"}, {"ref": "ms5201/data-science-e9491e", "kernel_id": "62794942"}, {"ref": "a33187/notebookc2b268cfe8", "kernel_id": "62478953"}, {"ref": "a33187/notebookf76412a759", "kernel_id": "62509971"}, {"ref": "hotspotstress/data-science-v2", "kernel_id": "62739508"}, {"ref": "hotspotstress/datascience0724-1", "kernel_id": "62653682"}, {"ref": "terao7211/datascience", "kernel_id": "62706824"}, {"ref": "koheiy13/notebook6b6a49e13d", "kernel_id": "62385299"}, {"ref": "yamaha4/datasience-yamahashi", "kernel_id": "62010758"}, {"ref": "shoio3c/ds-4-dogcat", "kernel_id": "62626936"}, {"ref": "shoio3c/dogs-new", "kernel_id": "62006642"}, {"ref": "manatoa/ds-2024", "kernel_id": "62435164"}, {"ref": "manatoa/ds-20240726", "kernel_id": "62695242"}, {"ref": "kawairyoji/1-kawai", "kernel_id": "62739624"}, {"ref": "tokumaeda/notebook1f9e3d91c8", "kernel_id": "62803297"}, {"ref": "tokumaeda/datascience-catdog", "kernel_id": "62436170"}, {"ref": "wokkapapiliq/notebooked564d62c6", "kernel_id": "62638177"}, {"ref": "daichance/20240724-dogs-vs-cats", "kernel_id": "62685987"}, {"ref": "huanchiachangstanley/data-sci-catvdog", "kernel_id": "62560968"}, {"ref": "htisopawrpp/ds2024-htisop", "kernel_id": "62436136"}, {"ref": "kakeruyoshida/notebooka44ff804de", "kernel_id": "62694839"}, {"ref": "jhin4444jhin/notebook337f9920c8", "kernel_id": "62436328"}, {"ref": "tksmkzt/datascience-goup8", "kernel_id": "62011060"}, {"ref": "haiteku/notebookb6c2c73104", "kernel_id": "62632451"}, {"ref": "sc1815/notebookd659d9ad5a", "kernel_id": "62525847"}, {"ref": "ouukin/data-science-e915f2", "kernel_id": "62793884"}, {"ref": "mikan52kaggle/data-science-final", "kernel_id": "62646515"}, {"ref": "ynn333/2024-work", "kernel_id": "62435710"}, {"ref": "kouheitakahashi/dato-sienco-2024", "kernel_id": "62804738"}, {"ref": "fujiitatsuya/notebookfc4087dcce", "kernel_id": "62010188"}, {"ref": "okmn32/vol-1-0", "kernel_id": "62678605"}, {"ref": "kn51510926/notebook18376ba49b", "kernel_id": "62770615"}, {"ref": "rafaelgcolares/devfuntime-dogs-vs-cats", "kernel_id": "63568980"}, {"ref": "osmanmusevih/transfer-learning-with-tensorflow", "kernel_id": "63583375"}, {"ref": "ajinkyakolhe112/cat-vs-dog-image-classification-with-resnet", "kernel_id": "64887796"}, {"ref": "julichitai/notebook6f73a5bc64", "kernel_id": "64879663"}, {"ref": "mattspotify2023/dogs-vs-cats-pytorch-resnet50-98-acc", "kernel_id": "65599170"}, {"ref": "khoingan/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "65835156"}, {"ref": "jorgevegagamero/notebook-dogs-vs-cats", "kernel_id": "65486519"}, {"ref": "omarelsayed1/cnn-model-for-image-classification-using-pytorch", "kernel_id": "66397754"}, {"ref": "ivanovromannn/notebookff", "kernel_id": "67900413"}, {"ref": "yuuthk/notebookc785dff359", "kernel_id": "67221556"}, {"ref": "yuuthk/fork-of-dogs-vs-cats-template", "kernel_id": "67931391"}, {"ref": "yuuthk/dogs-vs-cats-template", "kernel_id": "67922584"}, {"ref": "ibrahimallabbad/transfer-learning-with-resnet50", "kernel_id": "67285246"}, {"ref": "anisharaphael/bl-en-u4ece22007-cats-and-dogs", "kernel_id": "67132242"}, {"ref": "yuuthk/fork-of-dogs-vs-cats-template-9fd4a8", "kernel_id": "68569774"}, {"ref": "polinasushko/sushko-cats-dogs", "kernel_id": "68480674"}, {"ref": "ayenureskin/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "68100699"}, {"ref": "yuki26i/dogs-vs-cats-yu", "kernel_id": "68637639"}, {"ref": "paweekorns/dogs-cats-resnet50v2", "kernel_id": "69545495"}, {"ref": "reduct/notebook51d14bb687", "kernel_id": "69425296"}, {"ref": "yurikorchagin/notebook72e20518ff", "kernel_id": "69174291"}, {"ref": "yuuthk/dogs-vs-cats-2024-11-13", "kernel_id": "70575331"}, {"ref": "yuuthk/dogs-vs-cats-2024-11-13-with-alexnet", "kernel_id": "70582777"}, {"ref": "yuuthk/dogs-vs-cats-2024-11-13-with-resnet", "kernel_id": "70583097"}, {"ref": "yuuthk/dogs-vs-cats-2024-11-13-base", "kernel_id": "70585165"}, {"ref": "archmound/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "70368023"}, {"ref": "agusbahtiar/cats-vs-dogs-augmentation-transfer-learning", "kernel_id": "71367583"}, {"ref": "sanjukinpinem/classifier", "kernel_id": "71515735"}, {"ref": "hieuchu2003/tieu-luan-chuong-3-xu-ly-anh", "kernel_id": "71652682"}, {"ref": "quentinducoulombier/vit-test", "kernel_id": "72341222"}, {"ref": "quentinducoulombier/vit-pretrained-dogs-and-cat", "kernel_id": "72636692"}, {"ref": "kaiozwald/image-classification-cnn-tl-with-resnet50", "kernel_id": "72203251"}, {"ref": "shuvamagarwala/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "73676551"}, {"ref": "gokhanergul/start-cnn-with-cat-dog-classification", "kernel_id": "73821032"}, {"ref": "hossamfarhoud/transfer-learning-with-resnet50-using-keras", "kernel_id": "73446429"}, {"ref": "hachixya/vit-lightning-dogs-cats", "kernel_id": "73091861"}, {"ref": "fatimafg/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "73268613"}, {"ref": "shuvamagarwala/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "74050641"}, {"ref": "onnoboru/dogs-vs-cats-baseline", "kernel_id": "74903386"}, {"ref": "onnoboru/dogs-vs-cats-base-pytorchl", "kernel_id": "74911963"}, {"ref": "zyh1104/cats-vs-dogs-vgg16", "kernel_id": "74494371"}, {"ref": "lime1123/dogs-vs-cats-lightning", "kernel_id": "74756886"}, {"ref": "lime1123/dogs-vs-cats-submission-test", "kernel_id": "74889663"}, {"ref": "immuhammadumair/notebook2317a37f53", "kernel_id": "76365298"}, {"ref": "ngocdungbuivn/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "76374930"}, {"ref": "raghul2004/dogs-vs-cats", "kernel_id": "76053695"}, {"ref": "nguyentuanducfswhn/tutorial-keras-transfer-learning-with-resnet50", "kernel_id": "76419073"}, {"ref": "binhswinburnehn/transfer-learning-super-basic-stuff-with-resnet", "kernel_id": "76419064"}, {"ref": "hongikelite/my-first-model-keras-cnn", "kernel_id": "77194513"}, {"ref": "vedattumen/cnn-architectures-vgg-resnet-inception-tl", "kernel_id": "78293902"}, {"ref": "andrewshatalov/notebook315160a06e", "kernel_id": "78696410"}, {"ref": "mercury35/classifier-dogs-or-cat", "kernel_id": "78362205"}, {"ref": "hariviswanathan1971/lion-vs-nolion-classification-with-transfer", "kernel_id": "78704966"}, {"ref": "nastyssssss1234/cats-vs-dogs-image-classification-using-c-3f45fa", "kernel_id": "80709722"}, {"ref": "nastyssssss1234/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "80419470"}, {"ref": "yousseftaha98/cats-or-dogs-using-transfer-learning-resnet-50", "kernel_id": "80581775"}, {"ref": "trngtmnguyn/classification-project-2", "kernel_id": "80191093"}, {"ref": "chijiokeugwuanyi/dogs-vs-cats-tuning", "kernel_id": "80007562"}, {"ref": "dexterxiao/self-learning-cat-vs-dog", "kernel_id": "80977275"}, {"ref": "lykin22/cats-dogs-image-classification-resnet-50", "kernel_id": "81312955"}, {"ref": "harshithanks/msba-02harshithan", "kernel_id": "81327314"}, {"ref": "swapnilsharma995/msba-001-swapnil-sharma-v2", "kernel_id": "81394182"}, {"ref": "utkarsh1611/hw4-q2", "kernel_id": "81386102"}, {"ref": "khann095/msba-session002-ujjwalkhanna", "kernel_id": "81329432"}, {"ref": "abrahampgeorge/notebookf9229f1cd8", "kernel_id": "81401643"}, {"ref": "aurosikhamohanty226/cats-dogs-image-classification-resnet50-efficient", "kernel_id": "81206192"}, {"ref": "eslamabdelaziz/cats-or-dogs-classification-using-cnn-with-resnet", "kernel_id": "82695687"}, {"ref": "beenyx/dogs-vs-cats-public-score-0-03445", "kernel_id": "82019106"}, {"ref": "wellkilo/cat-vs-dog-convnet", "kernel_id": "82322334"}, {"ref": "kyrian330/mobilenetv2-score-0-055", "kernel_id": "84644936"}, {"ref": "kyrian330/resnet50v2-score-0-052", "kernel_id": "84643659"}, {"ref": "kyrian330/stacking-3-model-score-0-0430", "kernel_id": "84691707"}, {"ref": "kyrian330/elegant-code-by-nasnetmobile-score-0-049", "kernel_id": "84245472"}, {"ref": "kyrian330/yolo8", "kernel_id": "84146570"}, {"ref": "q2w1e4r3/keras-cnn-dog-or-cat-classification-b76869", "kernel_id": "84294522"}, {"ref": "aisharisky/cat-vs-dog", "kernel_id": "84604571"}, {"ref": "aisharisky/cat-vs-dog-deteksi", "kernel_id": "84761689"}, {"ref": "yerassylabylkassym/cats-dogs", "kernel_id": "85667302"}, {"ref": "justaguye/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "85670872"}, {"ref": "shotatadokoro/g2-c8-member1", "kernel_id": "85956373"}, {"ref": "ctoraq/cv-most", "kernel_id": "85667414"}, {"ref": "batyrpro/dogs-and-cats-day-2", "kernel_id": "85723864"}, {"ref": "star0101/notebook7d368da8a3", "kernel_id": "85941547"}, {"ref": "iwasakiitsuki/notebookdead530fd3", "kernel_id": "85940190"}, {"ref": "kevinsjapaneseroom/notebookb91512dcc7", "kernel_id": "85939449"}, {"ref": "koyamayudai2/notebooke1b5f48466", "kernel_id": "85940039"}, {"ref": "mikkokaguru0355/notebook67f86beb4c", "kernel_id": "85954869"}, {"ref": "yutatsuka06/notebook8fdf48b813", "kernel_id": "85940036"}, {"ref": "daiki1023/dogs-vs-cats-redux-kernels-edition-1", "kernel_id": "85942345"}, {"ref": "ryusei39/notebook483c91a88b", "kernel_id": "85941414"}, {"ref": "inaaki/notebook748f8d8b56", "kernel_id": "85940314"}, {"ref": "ryske888/g3-c6-member1", "kernel_id": "85928616"}, {"ref": "haoxuanjade/24-25-3-day-8-part-iii-readings", "kernel_id": "86244765"}, {"ref": "kobayashi1013/dogs-vs-cats", "kernel_id": "86853413"}, {"ref": "omaromran500/cats-or-dogs-using-cnn-with-transfer-learning", "kernel_id": "86863329"}, {"ref": "koukimorishita/dogcat-20250704", "kernel_id": "86380827"}, {"ref": "tanakaaika/datascience", "kernel_id": "86885351"}, {"ref": "kimu0328/dogcat1", "kernel_id": "86386989"}, {"ref": "mrsrtoinoue/notebook7c3da607e4", "kernel_id": "86856665"}, {"ref": "lilliatop/dogs-vs-cats-notebook-2", "kernel_id": "86858426"}, {"ref": "w342001/dogs-vs-cats", "kernel_id": "86857253"}, {"ref": "sierrayates/dogs-cats-vit", "kernel_id": "86856630"}, {"ref": "yonedaakari/notebook7d368da8a3-5aec48", "kernel_id": "86859226"}, {"ref": "minamiyuta/notebook2af15bab81", "kernel_id": "86385150"}, {"ref": "piggybank2077/notebook3ba35ef343", "kernel_id": "86386090"}, {"ref": "b3d2lipid/notebook9e8dfa3be2", "kernel_id": "86856131"}, {"ref": "kojiro319/notebook661db7d333", "kernel_id": "86385591"}, {"ref": "kevinsjapaneseroom/notebook1b6968f453", "kernel_id": "86385252"}, {"ref": "kouhigashiyama/notebookd6c8f413a0", "kernel_id": "86386565"}, {"ref": "jinmenusagi/notebook7d368da8a3", "kernel_id": "86856992"}, {"ref": "akirahashimoto95/cats-or-dogs-ver-1", "kernel_id": "86385498"}, {"ref": "yamaguchi0521/notebook510b26536c", "kernel_id": "86385414"}, {"ref": "nonakadaiki/dogs-cats-vit", "kernel_id": "86385665"}, {"ref": "yukihami/notebookcc36bd05cb", "kernel_id": "86386677"}, {"ref": "haradashogo/notebook2596633424", "kernel_id": "86385624"}, {"ref": "masakiogita/notebook987e8e5214", "kernel_id": "86390602"}, {"ref": "itotaisei/dogcat-20250704", "kernel_id": "86385248"}, {"ref": "hkitaba/dogcat-20250704", "kernel_id": "86385486"}, {"ref": "edwarderulic/notebook53a391110e", "kernel_id": "86385324"}, {"ref": "nakazawa666/datacatdog", "kernel_id": "86386508"}, {"ref": "saka00/notebook51ecc9f737", "kernel_id": "86385595"}, {"ref": "mnnh27/notebook-cat-dogv13", "kernel_id": "86856964"}, {"ref": "sasasa1135/notebook61fc529020", "kernel_id": "86851761"}, {"ref": "mofumofu39/notebook62038879e4", "kernel_id": "86387498"}, {"ref": "otanaoki/notebook-dogs-vs-cats-otanaoki-dropout", "kernel_id": "86857016"}, {"ref": "otanaoki/notebook-dogs-vs-cats-otanaoki-batch-normaization", "kernel_id": "86861889"}, {"ref": "nishikawamanaka/notebook370db8d5ab", "kernel_id": "86387484"}, {"ref": "kotak66966/notebook12a1a74b27", "kernel_id": "86385291"}, {"ref": "kotak66966/notebookdeb59dab2e-cnn", "kernel_id": "86381484"}, {"ref": "koyamayudai2/notebook987e8e5214", "kernel_id": "86850153"}, {"ref": "mikkokaguru0355/notebook30e8671509", "kernel_id": "86423938"}, {"ref": "ayakaumeda/notebook08244e9be4", "kernel_id": "86385521"}, {"ref": "mtk6086/notebook56e7ac0066", "kernel_id": "86395130"}, {"ref": "sakana123456789/notebooka4b9b751d3", "kernel_id": "86812696"}, {"ref": "chromtoxenon/konishi-ver13", "kernel_id": "86856975"}, {"ref": "leavesdog/test-04", "kernel_id": "86395951"}, {"ref": "leavesdog/test-05", "kernel_id": "86858220"}, {"ref": "nishidahajime/dogcat-20250704", "kernel_id": "86385313"}, {"ref": "yutakoyama/notebook0d68887846", "kernel_id": "86385401"}, {"ref": "matoritsugeki/dogs-vs-cats", "kernel_id": "86857008"}, {"ref": "takoyaki2025/notebookbbd05ac54b", "kernel_id": "86385173"}, {"ref": "yama10415o/datascience-d-c", "kernel_id": "86386605"}, {"ref": "suketamu/notebook987e8e5214", "kernel_id": "86854026"}, {"ref": "soraandou/notebookbe992f1028", "kernel_id": "86386679"}, {"ref": "umedakowa/notebookae04a2c7ea", "kernel_id": "86385399"}, {"ref": "c612535005/dogs-vs-cats-baseline", "kernel_id": "86856247"}, {"ref": "c612535005/notebookc9b6e6a1a1", "kernel_id": "86857705"}, {"ref": "c612535005/49da78", "kernel_id": "86858178"}, {"ref": "akashikokoro/notebook16a34cbd76", "kernel_id": "86510938"}, {"ref": "sugenatu/notebookf53ef8e5f8", "kernel_id": "86856161"}, {"ref": "matsutatsu/dogs-vs-cats", "kernel_id": "86388139"}, {"ref": "matsutatsu/test1", "kernel_id": "86841964"}, {"ref": "his4me/dog-vs-cat", "kernel_id": "86466952"}, {"ref": "seeeiii/cats-or-dogs", "kernel_id": "86386033"}, {"ref": "sayanitta/notebook8e74df2eff", "kernel_id": "86385417"}, {"ref": "ms2051/notebook483c91a88b", "kernel_id": "86385500"}, {"ref": "shotataniguchi0224/notebook9c39c04d90", "kernel_id": "86386683"}, {"ref": "mimimikami/dogs-vs-cats-mikami", "kernel_id": "86386678"}, {"ref": "cngquynnguyn/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "86558836"}, {"ref": "festivalsakurai/notebook82b597728c", "kernel_id": "87792929"}, {"ref": "ahmdmhmd/transfer-learning-with-resnet", "kernel_id": "87286282"}, {"ref": "ahmdeltoky/transfer-learning-with-resnet50", "kernel_id": "87456181"}, {"ref": "kobayashi1013/dog-vs-cat-test", "kernel_id": "87192297"}, {"ref": "kobayashi1013/dog-vs-cat-transfer", "kernel_id": "87293477"}, {"ref": "kobayashi1013/dog-vs-cat-final", "kernel_id": "87392227"}, {"ref": "kunitoryosei/notebookc606679889", "kernel_id": "87764222"}, {"ref": "kimu0328/dogcat2", "kernel_id": "87286713"}, {"ref": "hiroakimatsutani/notebook33cc6cec9a", "kernel_id": "87842059"}, {"ref": "bigrock32/notebooka31d466006", "kernel_id": "87335236"}, {"ref": "somanakamura/nakamura-dogs-and-cats-3-group", "kernel_id": "87657069"}, {"ref": "moriokanaoki/inuneko", "kernel_id": "87337533"}, {"ref": "moriokanaoki/inuneko2", "kernel_id": "87786478"}, {"ref": "w342001/dogs-vs-cats-20250725", "kernel_id": "87836125"}, {"ref": "w342001/dog-vs-cat-final", "kernel_id": "87715019"}, {"ref": "bigichiro/notebook6f9df50d90", "kernel_id": "87337442"}, {"ref": "bigichiro/notebook3d564d356a", "kernel_id": "87838271"}, {"ref": "piggybank2077/notebookf8fa695cd6", "kernel_id": "87336153"}, {"ref": "piggybank2077/notebook7c3da607e4", "kernel_id": "87336239"}, {"ref": "nao619/notebook71c07aaaca", "kernel_id": "87339734"}, {"ref": "nao619/notebook3d564d356a", "kernel_id": "87769807"}, {"ref": "kevinsjapaneseroom/notebookf54eede8d4", "kernel_id": "87336490"}, {"ref": "mikan21/notebook4b2f09fdc7", "kernel_id": "87340814"}, {"ref": "kouhigashiyama/dogs-vs-cats", "kernel_id": "87337821"}, {"ref": "shiorigouda/notebook-1", "kernel_id": "87342965"}, {"ref": "isainao/notebookfd4cc11812", "kernel_id": "87813917"}, {"ref": "isainao/notebookbe69e149ab", "kernel_id": "87916043"}, {"ref": "akirahashimoto95/g7-c7-submission", "kernel_id": "87837105"}, {"ref": "fyoddky/dogs-vs-cats-notebook-2", "kernel_id": "87338351"}, {"ref": "nonakadaiki/notebookd1390c9985", "kernel_id": "87841201"}, {"ref": "nonakadaiki/notebooka63505c4fd", "kernel_id": "87842255"}, {"ref": "masakiogita/notebookffc55b9e92", "kernel_id": "87353390"}, {"ref": "koukasui/notebookd31a0c7cfe", "kernel_id": "87839295"}, {"ref": "kumati/notebookc045da11a0", "kernel_id": "87837334"}, {"ref": "yudaimiyoshi/notebook370db8d5ab-2fc4ea", "kernel_id": "87932082"}, {"ref": "yudaimiyoshi/notebook370db8d5ab", "kernel_id": "87334792"}, {"ref": "itotaisei/dogcat-20250704d7fbf992b5", "kernel_id": "87335480"}, {"ref": "itotaisei/notebook70135e1f69", "kernel_id": "87336326"}, {"ref": "hkitaba/dogcat-20250725-c6125330322", "kernel_id": "87335453"}, {"ref": "hkitaba/c6125330322-2025-07-25", "kernel_id": "87841014"}, {"ref": "takumahamada/dogs-vs-cats-resnet50-transfer-learning", "kernel_id": "87767300"}, {"ref": "sasasa1135/notebookffc55b9e92", "kernel_id": "87838065"}, {"ref": "sasasa1135/notebook987e8e5214-b1e863", "kernel_id": "87838000"}, {"ref": "azuchan/notebook34e34a5f1a", "kernel_id": "87838440"}, {"ref": "miyamototakuma/notebookfbc3353549", "kernel_id": "87598133"}, {"ref": "otanaoki/notebook-dogs-vs-cats-otanaoki-final", "kernel_id": "87582577"}, {"ref": "otanaoki/dog-vs-cat-test", "kernel_id": "87273314"}, {"ref": "qianwenghuang/dog-vs-cat-final", "kernel_id": "87787911"}, {"ref": "kojiban/notebook18b0457ddd", "kernel_id": "87814884"}, {"ref": "kotak66966/notebooke43e5cc8b41", "kernel_id": "87633172"}, {"ref": "gomoriwaki/inuneko-moriwaki", "kernel_id": "87684453"}, {"ref": "gomoriwaki/notebooka8301d7685", "kernel_id": "87791046"}, {"ref": "koyamayudai2/notebook987e8e5214-4dbcdf", "kernel_id": "87837929"}, {"ref": "mmmmiii/notebookde5c809a3e", "kernel_id": "87574871"}, {"ref": "tuyoshitomiyuki/notebook80b39c3c41", "kernel_id": "87336505"}, {"ref": "tuyoshitomiyuki/notebook1c484163d3", "kernel_id": "87338333"}, {"ref": "mtk6086/notebookffc55b9e92", "kernel_id": "87838613"}, {"ref": "mtk6086/notebook987e8e5214-d309c7", "kernel_id": "87838019"}, {"ref": "gordqn/notebook3a85f3f499", "kernel_id": "87851234"}, {"ref": "nishidahajime/dogcat-20250704-cf2d51", "kernel_id": "87336391"}, {"ref": "endokeisuke/notebook91523db0b6", "kernel_id": "87336895"}, {"ref": "azujun/notebook79baabc9a1", "kernel_id": "87717708"}, {"ref": "nakayamajun/dogs-vs-cats-notebook-2", "kernel_id": "87821376"}, {"ref": "izumishinichi/dogs-vs-cats-redux-kernels-edition-1", "kernel_id": "87834322"}, {"ref": "takoyaki2025/notebookd658605e57", "kernel_id": "87745453"}, {"ref": "suketamu/notebook987e8e5214-4751bc", "kernel_id": "87837985"}, {"ref": "suketamu/notebookffc55b9e92", "kernel_id": "87838051"}, {"ref": "c612535005/dogs-vs-cats-redux-kernels-edition-1", "kernel_id": "87336646"}, {"ref": "nishum1234/dog-cats", "kernel_id": "87836157"}, {"ref": "hyumamurata/dogs-and-cats-3-group", "kernel_id": "87341512"}, {"ref": "nemo000/dogs-vs-cats-redux-kernels-edition-1-tk", "kernel_id": "87834741"}, {"ref": "shutokagawa/notebook63747353a5", "kernel_id": "87337966"}, {"ref": "his4me/dogs-and-cats-3group-hupei", "kernel_id": "87838254"}, {"ref": "his4me/hupei-dogs-and-cats-3group", "kernel_id": "87819871"}, {"ref": "seeeiii/classification-of-dog-and-cat-pictures", "kernel_id": "87331124"}, {"ref": "hikarufujitatoku/notebookee97fba11d", "kernel_id": "87336328"}, {"ref": "wcyy49/aassddff", "kernel_id": "87780516"}, {"ref": "wcyy49/aaaaaaaaaaaaaa", "kernel_id": "87707471"}, {"ref": "ms2051/notebook917ddaa546", "kernel_id": "87826920"}, {"ref": "ysskws/g7-c7-member4", "kernel_id": "87838351"}, {"ref": "sssawa/notebookffc55b9e92", "kernel_id": "87837982"}, {"ref": "sssawa/notebook987e8e5214", "kernel_id": "87838001"}, {"ref": "shotataniguchi0224/notebook4bc68e2e81", "kernel_id": "87922874"}, {"ref": "takaginaoya/notebook7c3da607e4-456450", "kernel_id": "87750581"}, {"ref": "koudaikimura/datascience-d-c", "kernel_id": "87961403"}, {"ref": "morishunei/notebook277558e6bd", "kernel_id": "88024600"}, {"ref": "rozyshindra/image-classification-using-pytorch", "kernel_id": "89663204"}, {"ref": "elkhawaga/cats-vs-dogs-image-classification", "kernel_id": "89695062"}, {"ref": "njuspy/cats-or-dogs", "kernel_id": "90756563"}, {"ref": "npo100kpo/notebookdeeca3dc6d", "kernel_id": "91887011"}, {"ref": "npo100kpo/notebook40b0ba0f8e", "kernel_id": "91890005"}, {"ref": "omniamahmoudsaeed/cats-or-dogs-using-cnn-with-tl", "kernel_id": "91183128"}, {"ref": "phmthnhduy/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "92388506"}, {"ref": "emreoktensoy/cat-dog-image-classification-cnn", "kernel_id": "92579450"}, {"ref": "vexdev/cnn-dogs-vs-cats", "kernel_id": "93006595"}, {"ref": "bernaelik/notebook00b9e2bc46", "kernel_id": "93176988"}, {"ref": "yllkelani/random-forest-dogs-vs-cats", "kernel_id": "94846195"}, {"ref": "doctorsafe/torch", "kernel_id": "94658953"}, {"ref": "mmoiseenko/notebook1ada77eef5", "kernel_id": "95973430"}, {"ref": "youssefatourqui/dogs-vs-cats-classifier-with-resnet50", "kernel_id": "95382081"}, {"ref": "kirillkosenko/notebook61cb862bdb", "kernel_id": "96420617"}, {"ref": "lokendra008/vgg-resnet50-inception-v3-tl", "kernel_id": "97858551"}, {"ref": "evanoleary/alexandria-competition-dogs-vs-cats-redux-211099", "kernel_id": "100468717"}, {"ref": "amnaalobaidli/dogs-vs-cats-redux-kernels-edition", "kernel_id": "102231011"}, {"ref": "yuzhoudiyi/cats-vs-dogs-image-classification-using-cnn-95", "kernel_id": "102308249"}, {"ref": "shamimulislamsunny/cat-dog-cnn", "kernel_id": "102780858"}, {"ref": "dinanirham/notebook094c7a3730", "kernel_id": "103278907"}, {"ref": "xahmedmedhatx/best-from-scratch", "kernel_id": "103481009"}, {"ref": "a1a2cccc/dogs-vs-cats", "kernel_id": "103246693"}, {"ref": "ma7modibrahem/project-ai-2", "kernel_id": "104963445"}, {"ref": "ahmed1harfoush/transfer-learning-with-resnet50-cat-dog", "kernel_id": "105127608"}, {"ref": "pedrocurto/dl-ex1nosol", "kernel_id": "107426073"}, {"ref": "pedrocurto/dl-ex1sol", "kernel_id": "107354499"}, {"ref": "aarijhussain/data-mining-assignment-1-bai-23s-069", "kernel_id": "107617857"}, {"ref": "emadanwer465/cats-vs-dogs", "kernel_id": "107225091"}, {"ref": "atomic28/dl-ex1nosol", "kernel_id": "107437444"}, {"ref": "thanhkieuvo/conq011-cats-vs-dogs-classification-using-cnn", "kernel_id": "108061879"}, {"ref": "yaroslavbelitskii/convolutional-network-training", "kernel_id": "108987068"}, {"ref": "maazkareem/cats-vs-dogs-augmentation-transfer-learning", "kernel_id": "108267450"}, {"ref": "vatinsukhampha/6810210624-classify-photos-of-dogs-and-cats", "kernel_id": "110083125"}, {"ref": "ranazainidrees/classifier-dogs-or-cats", "kernel_id": "111646031"}, {"ref": "sojibbhattacharjee/classifier-dogs-or-cats", "kernel_id": "111475867"}, {"ref": "lem108/notebooke7bd7b328d", "kernel_id": "112014215"}, {"ref": "lem108/notebook9ba35edde1", "kernel_id": "112042520"}, {"ref": "jjzfi0/cnn-dogs-cats", "kernel_id": "112633792"}, {"ref": "tanish125/cats-vs-dogs-cnn", "kernel_id": "113763342"}, {"ref": "barackaboba/notebooke89ace2e6f", "kernel_id": "113314383"}, {"ref": "tugcebasyigit/dogs-vs-cats-with-cnn-and-transfer-learning", "kernel_id": "116527534"}, {"ref": "iinmv0527/dogs-vs-cats", "kernel_id": "116360558"}, {"ref": "abdelazizomarrr/deep-learning-cats-vs-dogs-mnist-fashion-mnist", "kernel_id": "116988830"}, {"ref": "aminulislam143/notebook56d9bea48e", "kernel_id": "116323417"}, {"ref": "hamidchaouchi/notebookcd440e309c", "kernel_id": "116154578"}, {"ref": "daoviet/dogs-vs-cats-baseline", "kernel_id": "117024266"}, {"ref": "rautmumdi/mini-project-raut", "kernel_id": "117460594"}, {"ref": "ayeshatubassum/cat-vs-dog-cnn-ipynb", "kernel_id": "119983672"}, {"ref": "ye070301/cd-redux1", "kernel_id": "121959594"}, {"ref": "biaiqbalquaimkhani/d-l-bareera", "kernel_id": "121134806"}, {"ref": "biaiqbalquaimkhani/dp-bareera-448616", "kernel_id": "121186889"}, {"ref": "biaiqbalquaimkhani/dp-bareera-iqbal", "kernel_id": "121184468"}, {"ref": "danil612131/lab1-networks", "kernel_id": "121993493"}, {"ref": "zhenruiweng/animal-classification-with-resnet50", "kernel_id": "122997927"}, {"ref": "danil612131/lab3-networks", "kernel_id": "122001849"}, {"ref": "ye070301/epochs3", "kernel_id": "124640076"}, {"ref": "ye070301/cd-redux2", "kernel_id": "124599245"}, {"ref": "sawaira89khan/cnn-cats-vs-dog", "kernel_id": "124399351"}, {"ref": "meikou39/notebook5ab6db03b9", "kernel_id": "124893945"}, {"ref": "sakatasho/notebook36435bb629", "kernel_id": "125781008"}, {"ref": "zqx960151285/dogs-vs-cats-redux-kernels-edition", "kernel_id": "126202755"}, {"ref": "detaaisennsu0619/notebookb9a7298634", "kernel_id": "126565528"}, {"ref": "zexianzhao/notebookec0ee88250", "kernel_id": "126565246"}, {"ref": "hashimoto6126340172/notebook9a3158a4cb", "kernel_id": "126560924"}, {"ref": "anandiroychowdhury/alexnet-pytorch-from-scratch-transfer-learning", "kernel_id": "128259764"}, {"ref": "yuikashihara/notebook539bf409a0", "kernel_id": "128451752"}, {"ref": "nyuusannkinn1222/notebookc30d6aec15", "kernel_id": "128453472"}, {"ref": "hoshinotoi/notebook2073980f2b", "kernel_id": "128449134"}, {"ref": "rikotakagaki/notebook3e6e33121d", "kernel_id": "128450354"}, {"ref": "camiladuarteferreira/notebook5311d1de5d", "kernel_id": "128450119"}, {"ref": "utkarshtomar736/dvc-00-cnn", "kernel_id": "129054953"}, {"ref": "cbdsigmas/cats-vs-dogs-baseline", "kernel_id": "129777186"}, {"ref": "olegerofeev/catsdogsclassification", "kernel_id": "134113270"}, {"ref": "nastijakalugina/notebooka8e45b889f", "kernel_id": "134896042"}, {"ref": "tannnyyy/notebooke6578cd7e4", "kernel_id": "135181336"}, {"ref": "itshani/notebook3a34d0795b", "kernel_id": "135995254"}, {"ref": "sarmadbuttunknown/cat-vs-dog", "kernel_id": "136150698"}, {"ref": "abbasalijaffiri/notebookeba743dc6a", "kernel_id": "136348832"}, {"ref": "bismaghulammustafa/notebooka6e631ce3c", "kernel_id": "136349232"}]}
{"competition_id": "5450", "kernels": []}
{"competition_id": "5485", "kernels": []}
{"competition_id": "5488", "kernels": []}
{"competition_id": "5497", "kernels": [{"ref": "alexxanderlarko/btb-r", "kernel_id": "146764"}, {"ref": "benhamner/notebook41c3f5d32a", "kernel_id": "102669"}, {"ref": "benhamner/notebook8b433acfb8", "kernel_id": "143110"}, {"ref": "maidang/notebook87377ca5c7", "kernel_id": "102396"}, {"ref": "richiemorrisroe/notebook6bf4bfedf8", "kernel_id": "124870"}, {"ref": "richiemorrisroe/thisisatitle", "kernel_id": "124872"}, {"ref": "vitolee/notebookd1c9896441", "kernel_id": "108483"}, {"ref": "qzhan11/outbrain-eda-2cd04ec9", "kernel_id": "164068"}, {"ref": "qzhan11/outbrain-eda", "kernel_id": "156126"}, {"ref": "qzhan11/unveiling-page-views-csv-with-pyspark", "kernel_id": "156956"}, {"ref": "ags299/unveiling-page-views-csv-with-pyspark", "kernel_id": "142223"}, {"ref": "transfunctioner/simple-r-platform-0-638", "kernel_id": "118996"}, {"ref": "soates/outbrain-eda", "kernel_id": "105295"}, {"ref": "parikhprakash/initialrun", "kernel_id": "132745"}, {"ref": "ubermensch/notebookd0bde94c9e", "kernel_id": "102459"}, {"ref": "dselivanov/split-page-views-csv-zip-into-mini-batches", "kernel_id": "103567"}, {"ref": "romovpa/notebook7bdb8933d5", "kernel_id": "102346"}, {"ref": "china1000/simple-r-platform-0-6387", "kernel_id": "139849"}, {"ref": "msjgriffiths/eda-documents", "kernel_id": "104719"}, {"ref": "adrianplattner/notebookf57514f1e2", "kernel_id": "137937"}, {"ref": "adrianplattner/outbrain-eda", "kernel_id": "137939"}, {"ref": "adrianplattner/notebookcc03546ec8", "kernel_id": "137940"}, {"ref": "adrianplattner/outbrain-test", "kernel_id": "137942"}, {"ref": "sunilk1303/unveiling-page-views-csv-with-pyspark", "kernel_id": "112747"}, {"ref": "titericz/giba1-data-table-is-cool-lb-0-63714", "kernel_id": "111873"}, {"ref": "ricardocsag/pruebaempty", "kernel_id": "104967"}, {"ref": "ricardocsag/btb-0-63523-evaluation", "kernel_id": "105480"}, {"ref": "valadi/simple-r-platform-0-638", "kernel_id": "119638"}, {"ref": "nishkgp/date-exploration-and-train-test-split", "kernel_id": "121966"}, {"ref": "andris/schema-inference-2", "kernel_id": "106552"}, {"ref": "andris/schema-inference-1", "kernel_id": "106577"}, {"ref": "andris/first-notebook", "kernel_id": "104770"}, {"ref": "volker48/joining-the-document-data", "kernel_id": "103002"}, {"ref": "alsharif/notebooke7840cdd3d", "kernel_id": "109315"}, {"ref": "clustifier/pandas-is-cool-lb-0-63714", "kernel_id": "114129"}, {"ref": "clustifier/btb-0-63523-evaluation", "kernel_id": "102888"}, {"ref": "qthurier/notebook60f386dac6", "kernel_id": "102429"}, {"ref": "sudalairajkumar/ftrl-starter-with-leakage-vars", "kernel_id": "111908"}, {"ref": "sudalairajkumar/notebooke89e1ab126", "kernel_id": "122561"}, {"ref": "ranandiitk/data-exploration", "kernel_id": "102335"}, {"ref": "mpearmain/pandas2libffm", "kernel_id": "158335"}, {"ref": "z4432045/notebook8a52d7b591", "kernel_id": "199680"}, {"ref": "ajitbarik/notebook9557ae7b61", "kernel_id": "104782"}, {"ref": "nlpforhackers/notebook1fe257d538", "kernel_id": "147694"}, {"ref": "elberi/notebook2830b612bd", "kernel_id": "102332"}, {"ref": "whysocurious/justexploring", "kernel_id": "102484"}, {"ref": "lawrencewu/notebookd399185a6b", "kernel_id": "147997"}, {"ref": "hongweizhang/notebook9b1b76a96e", "kernel_id": "103469"}, {"ref": "hongweizhang/notebook2ee9723bae", "kernel_id": "103672"}, {"ref": "sharmaharshit/btb-0-63523-evaluation", "kernel_id": "151150"}, {"ref": "jiweiliu/extract-leak-in-30-mins-with-small-memory", "kernel_id": "106347"}, {"ref": "fairsky/unveiling-page-views-csv-with-pyspark", "kernel_id": "123987"}, {"ref": "wangheyu/date-exploration-and-train-test-split", "kernel_id": "117620"}, {"ref": "gayatrimahesh/notebookcc4a8ff44e", "kernel_id": "109466"}, {"ref": "davidshinn/notebook58c0eab31e", "kernel_id": "128142"}, {"ref": "gouravbansal/data-detail", "kernel_id": "229476"}, {"ref": "gouravbansal/notebook746f997653", "kernel_id": "227967"}, {"ref": "ericcouto/notebook928d35f0f9", "kernel_id": "158652"}, {"ref": "ericcouto/notebook7938d6f27b", "kernel_id": "117065"}, {"ref": "raeisi/notebook0af9f2c833", "kernel_id": "151107"}, {"ref": "raeisi/outbrain-eda", "kernel_id": "151114"}, {"ref": "bigdataads/outbrain-eda-2", "kernel_id": "105727"}, {"ref": "speculation/btb-in-r", "kernel_id": "104453"}, {"ref": "rajendrakumar/notebookdeb33596bb", "kernel_id": "112480"}, {"ref": "rajendrakumar/outbrain-eda-16d38145", "kernel_id": "109498"}, {"ref": "rajendrakumar/outbrain-eda-32e2dfbe", "kernel_id": "107906"}, {"ref": "rajendrakumar/outbrain-eda", "kernel_id": "107472"}, {"ref": "ahmedov/outbrain-kaggle", "kernel_id": "104375"}, {"ref": "avishek/extract-leak-in-30-mins-with-small-memory-01012017", "kernel_id": "149185"}, {"ref": "avishek/regularized-btb-0-635-10092016", "kernel_id": "103574"}, {"ref": "j0shua/notebookf6c6e702bc", "kernel_id": "109055"}, {"ref": "sbairishal/beat-the-benchmark-wid-regularization", "kernel_id": "104835"}, {"ref": "ktimothy/notebook1f0f3a841a", "kernel_id": "115721"}, {"ref": "ktimothy/main-script", "kernel_id": "115722"}, {"ref": "shashankjain/outbrain-eda", "kernel_id": "104727"}, {"ref": "ssegui/notebook0c7b8d7b03", "kernel_id": "156585"}, {"ref": "ssegui/test1", "kernel_id": "156586"}, {"ref": "aal13n/notebook6a4af7c6da", "kernel_id": "122886"}, {"ref": "jeffvaldez/notebookf5ee2f8823", "kernel_id": "148910"}, {"ref": "jeffvaldez/notebookdc620354a2", "kernel_id": "150361"}, {"ref": "minhduc191/explore-click-data", "kernel_id": "102500"}, {"ref": "minhduc191/traffic-volume-by-platform", "kernel_id": "102542"}, {"ref": "minhduc191/outbrain-eda", "kernel_id": "109899"}, {"ref": "hmehta/notebookcf58278bf1", "kernel_id": "102360"}, {"ref": "albertomz/notebook7c06a1f4ae", "kernel_id": "119847"}, {"ref": "freddiebe/outbrain-lab", "kernel_id": "133801"}, {"ref": "nlothian/r-test-script", "kernel_id": "150377"}, {"ref": "jwegas/random-submission-just-for-fun", "kernel_id": "102522"}, {"ref": "jwegas/trying-predict-ads-from-users-history", "kernel_id": "102452"}, {"ref": "elguille/notebookf24e558557", "kernel_id": "102361"}, {"ref": "ramkikrish/first-notebook", "kernel_id": "108581"}, {"ref": "betterplace/split-page-views-csv-zip-into-mini-batches", "kernel_id": "155633"}, {"ref": "betterplace/is-landing-access-for-ad-clicks-in-page-views-csv", "kernel_id": "155088"}, {"ref": "betterplace/notebookfeab60ede6", "kernel_id": "156485"}, {"ref": "betterplace/notebook4b3fdbd200", "kernel_id": "153555"}, {"ref": "betterplace/notebook78b2b2a07b", "kernel_id": "143654"}, {"ref": "betterplace/explore-user-base-by-geo", "kernel_id": "102990"}, {"ref": "o76923/notebook-to-subsample-documents", "kernel_id": "109257"}, {"ref": "minixmax/explore-user-base-by-geo", "kernel_id": "116416"}, {"ref": "jahchaisang/looking-at-the-data-python", "kernel_id": "102954"}, {"ref": "nilotpal/simple-r-platform-0-6387", "kernel_id": "130128"}, {"ref": "cfsnyder/outbrain", "kernel_id": "114448"}, {"ref": "pappukrjha/explore", "kernel_id": "134157"}, {"ref": "andreisun/data-preview-1", "kernel_id": "102559"}, {"ref": "amitchoudhary/outbrain-v1", "kernel_id": "105818"}, {"ref": "fatimabbt/notebook0d1945c040", "kernel_id": "109312"}, {"ref": "frederickayala/notebook8e914bb5cd", "kernel_id": "107921"}, {"ref": "nganman/explore", "kernel_id": "107418"}, {"ref": "nganman/notebook7b2e0b2d8d", "kernel_id": "107419"}, {"ref": "utopianami/notebook0d25217343", "kernel_id": "112773"}, {"ref": "llopez/outbrain-eda", "kernel_id": "190048"}, {"ref": "gauravgupta/notebook09c8a082ea", "kernel_id": "108068"}, {"ref": "namsangboy/notebookd8e8dde963", "kernel_id": "147191"}, {"ref": "namsangboy/outbrain-eda", "kernel_id": "147196"}, {"ref": "justinnafe/basic-sample-submission", "kernel_id": "104891"}, {"ref": "justinnafe/click-prob-and-regularization-based-on-impressions", "kernel_id": "104934"}, {"ref": "justinnafe/example-of-getting-counts-with-limited-memory", "kernel_id": "104073"}, {"ref": "republic966/submission", "kernel_id": "163266"}, {"ref": "republic966/where-when-what-companies-get-the-most-clicks", "kernel_id": "163791"}, {"ref": "sohrab/to-click-or-not-to-click-that-is-the-question", "kernel_id": "104112"}, {"ref": "mbenkhemis/explore-user-base-by-geo", "kernel_id": "102883"}, {"ref": "yuqingxue/the-mystery-of-outbrain-ads", "kernel_id": "110060"}, {"ref": "qwyang/outbrain-v1", "kernel_id": "103489"}, {"ref": "poiss0nriot/unveiling-page-views-csv-with-pyspark", "kernel_id": "151935"}, {"ref": "billskelly/notebook69ff3459ea", "kernel_id": "109641"}, {"ref": "agarwalgopi/outbrain-first-attempt", "kernel_id": "109490"}, {"ref": "agarwalgopi/the-mystery-of-outbrain-ads", "kernel_id": "109122"}, {"ref": "agarwalgopi/predict-ad-clicks", "kernel_id": "110876"}, {"ref": "samrotashoka/simple-r-platform-0-638-jan12", "kernel_id": "157798"}, {"ref": "ksjpswaroop/notebookc3cc33774f", "kernel_id": "102339"}, {"ref": "dhirsch/first", "kernel_id": "102713"}, {"ref": "dhirsch/notebook70cc49d212", "kernel_id": "102832"}, {"ref": "jpuigde/simple-r-0-63693", "kernel_id": "104632"}, {"ref": "jpuigde/date-exploration-and-train-test-split", "kernel_id": "103796"}, {"ref": "vinhnguyen/outbrain-eda", "kernel_id": "119792"}, {"ref": "abhisheknagarjuna/initial-analysis", "kernel_id": "137358"}, {"ref": "darraghdog/notebooka8de72941d", "kernel_id": "117006"}, {"ref": "darraghdog/notebook6b58c07675", "kernel_id": "162941"}, {"ref": "makanga/notebookc7436faaf8", "kernel_id": "102581"}, {"ref": "realdeo/regularized-btb-0-635", "kernel_id": "103762"}, {"ref": "println/outbrain-eda", "kernel_id": "104850"}, {"ref": "empenguin/notebook7051d0729f", "kernel_id": "144914"}, {"ref": "alanfeder/notebookcd25df0cb7", "kernel_id": "121882"}, {"ref": "nasirovnicat/outbrain-eda", "kernel_id": "108254"}, {"ref": "nasirovnicat/notebookc102f2261a", "kernel_id": "108882"}, {"ref": "spattigilli/notebook9132637df6", "kernel_id": "102684"}, {"ref": "apoorva123/outbrain-eda", "kernel_id": "106692"}, {"ref": "tracholar/test-python", "kernel_id": "106741"}, {"ref": "tracholar/outbrain-click-prediction", "kernel_id": "106446"}, {"ref": "tracholar/notebooka4cfe2381e", "kernel_id": "108836"}, {"ref": "tracholar/notebookf5bb981f31", "kernel_id": "109088"}, {"ref": "tracholar/adcount-py", "kernel_id": "109089"}, {"ref": "gearcx/notebookac965af67b", "kernel_id": "103165"}, {"ref": "parikshitjoshi/notebook63172005bb", "kernel_id": "103171"}, {"ref": "jackytu256/notebooka948c67b72", "kernel_id": "109502"}, {"ref": "jackytu256/notebooke614b5df55", "kernel_id": "108890"}, {"ref": "gspmoreira/notebook4810f51578", "kernel_id": "108993"}, {"ref": "gspmoreira/unveiling-the-secrets-of-page-views-csv-with-spark", "kernel_id": "106963"}, {"ref": "gspmoreira/unveiling-secrets-of-page-views-csv-with-spark", "kernel_id": "106966"}, {"ref": "gspmoreira/unveiling-page-views-csv-with-pyspark", "kernel_id": "106967"}, {"ref": "gspmoreira/notebook65b1666dcd", "kernel_id": "105548"}, {"ref": "gspmoreira/notebookd765f52633", "kernel_id": "180235"}, {"ref": "dscientist/to-click-or-not-to-click-that-is-the-question", "kernel_id": "102588"}, {"ref": "dscientist/sneak-peak-at-the-data", "kernel_id": "102437"}, {"ref": "enirtium/ob-eda", "kernel_id": "126964"}, {"ref": "enirtium/notebook68a0063226", "kernel_id": "127030"}, {"ref": "devendramittal/data-exploration", "kernel_id": "134099"}, {"ref": "vipink21/test1", "kernel_id": "102616"}, {"ref": "vipink21/test11", "kernel_id": "102624"}, {"ref": "vipink21/brain", "kernel_id": "102625"}, {"ref": "franckjay/easy-random-forests", "kernel_id": "107700"}, {"ref": "franckjay/notebookeecac50c9f", "kernel_id": "158450"}, {"ref": "louisguth/notebook369f941fd5", "kernel_id": "153163"}, {"ref": "shravanumn/notebookc4cf7d2597", "kernel_id": "147200"}, {"ref": "mirjana/notebookbbd7d2d1e9", "kernel_id": "108287"}, {"ref": "geekfox/exploring-data", "kernel_id": "102599"}, {"ref": "thiagomatos/outbrain-eda", "kernel_id": "181540"}, {"ref": "eminik/notebookb3e3806053", "kernel_id": "113702"}, {"ref": "cathyq/notebookcbb948c1ef", "kernel_id": "189092"}, {"ref": "skylord/submission-stuff", "kernel_id": "104847"}, {"ref": "skylord/notebooke4afd9723c", "kernel_id": "104843"}, {"ref": "leaflettuce/outbrain-eda-and-predictor", "kernel_id": "154865"}, {"ref": "mediaminer/notebook9b29dd8647", "kernel_id": "104198"}, {"ref": "duncan1213/notebookbf286168b8", "kernel_id": "124020"}, {"ref": "duncan1213/outbrain", "kernel_id": "140880"}, {"ref": "duncan1213/notebook0bbee7faee", "kernel_id": "140122"}, {"ref": "duncan1213/notebook0cc759b5be", "kernel_id": "140123"}, {"ref": "duncan1213/notebook2e7fb092c7", "kernel_id": "140289"}, {"ref": "love1234/notebook09493a67a9", "kernel_id": "243796"}, {"ref": "love1234/notebook000306292f", "kernel_id": "243797"}, {"ref": "ashhafez/fast-map-function", "kernel_id": "141522"}, {"ref": "ashhafez/evaluate-map-score-without-groupby-in-python", "kernel_id": "145273"}, {"ref": "munmun1333/notebook6ea7af22a4", "kernel_id": "143425"}, {"ref": "munmun1333/notebookaf38da9e0f", "kernel_id": "143427"}, {"ref": "munmun1333/fork-of-notebookaf38da9e0f", "kernel_id": "143456"}, {"ref": "munmun1333/content-train-random-forest-chunk", "kernel_id": "148265"}, {"ref": "munmun1333/notebooka0b36d8f50", "kernel_id": "148268"}, {"ref": "munmun1333/notebook23e802551c", "kernel_id": "148403"}, {"ref": "munmun1333/notebookfbb3d365e4", "kernel_id": "147255"}, {"ref": "munmun1333/outbrain-eda", "kernel_id": "147425"}, {"ref": "munmun1333/second-script", "kernel_id": "147398"}, {"ref": "munmun1333/eda-data", "kernel_id": "148126"}, {"ref": "munmun1333/notebookb6ca4efe7a", "kernel_id": "142870"}, {"ref": "mcallaghan/notebook999fb2ce07", "kernel_id": "103242"}, {"ref": "ronencozen/how-to-transform-prediction-to-submission-layout", "kernel_id": "104841"}, {"ref": "reshsekar15/outbrain-exploring-datasets", "kernel_id": "144035"}, {"ref": "kritikarai/outbrain-eda", "kernel_id": "151516"}, {"ref": "ak1993/outbrain-eda", "kernel_id": "105116"}, {"ref": "johnson1991/notebookfba96c4f84", "kernel_id": "106865"}, {"ref": "ryutek/is-landing-access-for-ad-clicks-in-page-views-csv", "kernel_id": "154191"}, {"ref": "ravindra57/notebook83c83b6dfa", "kernel_id": "144732"}, {"ref": "mileskrains/notebookc99019198e", "kernel_id": "149015"}, {"ref": "mileskrains/notebookc745c4c025", "kernel_id": "150382"}, {"ref": "mileskrains/notebook076b7f3577", "kernel_id": "150463"}, {"ref": "mileskrains/notebook6d83f122ed", "kernel_id": "143343"}, {"ref": "sunilmistri/notebook6aeed5e112", "kernel_id": "105119"}, {"ref": "akhileshsk/notebooke0dce13153", "kernel_id": "135755"}, {"ref": "victormanuelpelaez/to-click-or-not-to-click-that-is-the-question", "kernel_id": "102864"}, {"ref": "victormanuelpelaez/data-exploration", "kernel_id": "102490"}, {"ref": "onepau/outbrain-eda", "kernel_id": "106271"}, {"ref": "onepau/explore-user-base-by-geo", "kernel_id": "109856"}, {"ref": "onepau/to-click-or-not-to-click-that-is-the-question", "kernel_id": "111353"}, {"ref": "jaycordes/firstkernel", "kernel_id": "111516"}, {"ref": "jaycordes/how-does-this-work", "kernel_id": "128987"}, {"ref": "jaycordes/the-simple-solution", "kernel_id": "132315"}, {"ref": "jaycordes/notebook1e130b0b83", "kernel_id": "121866"}, {"ref": "jaycordes/notebook57137ed929", "kernel_id": "121852"}, {"ref": "tungty/outbrain-eda", "kernel_id": "146849"}, {"ref": "venkyb/explore-user-base-by-geo", "kernel_id": "102831"}, {"ref": "murphy89/notebook2242162ffd", "kernel_id": "105880"}, {"ref": "murphy89/unveiling-page-views-csv-with-pyspark", "kernel_id": "107844"}, {"ref": "arunreddy/notebookf34febbb82", "kernel_id": "109392"}, {"ref": "yuebanguo/notebook33078217e5", "kernel_id": "156981"}, {"ref": "nitred/notebookec95bbbd1f", "kernel_id": "102956"}, {"ref": "dataeinstein/documentcat-1", "kernel_id": "128580"}, {"ref": "roshanshetty/outbrain-eda", "kernel_id": "147479"}, {"ref": "aparafita/notebook5b4cb90b9c", "kernel_id": "122197"}, {"ref": "vsmalladi/exploring-outbrain-data", "kernel_id": "104069"}, {"ref": "vsmalladi/notebooka352487256", "kernel_id": "102575"}, {"ref": "inaccessible/outbrain-eda", "kernel_id": "118242"}, {"ref": "ashwanthpasu/visualize-the-users-in-the-us", "kernel_id": "139040"}, {"ref": "ashwanthpasu/visualize-the-users-in-the-us-state-wise", "kernel_id": "138994"}, {"ref": "nicholashartmann/outbrain-script", "kernel_id": "103855"}, {"ref": "krunu1990/notebook4571211176", "kernel_id": "143979"}, {"ref": "toover/notebookc6374696a3", "kernel_id": "143171"}, {"ref": "pandapan/simple-analysis-to-the-data-clicks-train", "kernel_id": "107083"}, {"ref": "pandapan/notebookb45b748563", "kernel_id": "104138"}, {"ref": "pandapan/notebook4acf84133d", "kernel_id": "105449"}, {"ref": "pandapan/notebookfef75d978a", "kernel_id": "105482"}, {"ref": "johngroves/outbrain-eda", "kernel_id": "137315"}, {"ref": "dazaraf/notebook602e32df16", "kernel_id": "121236"}, {"ref": "dsokal/notebookbcb3e42681", "kernel_id": "102541"}, {"ref": "sialan/notebook88dcbbeea5", "kernel_id": "122236"}, {"ref": "erykwalczak/where-are-the-users-from", "kernel_id": "102364"}, {"ref": "yogeveran/notebookfad8f1bf2a", "kernel_id": "145399"}, {"ref": "mkesselaers/notebookd99c23abe8", "kernel_id": "102464"}, {"ref": "vanausloos/ftrl-with-leakage-vars", "kernel_id": "152715"}, {"ref": "vanausloos/from-ftrl-starter-xav2", "kernel_id": "154116"}, {"ref": "vanausloos/date-exploration-and-train-test-split", "kernel_id": "131185"}, {"ref": "vanausloos/outbrain-quick-eda", "kernel_id": "128329"}, {"ref": "vanausloos/unveiling-page-views-csv-with-pyspark", "kernel_id": "132920"}, {"ref": "alexgici/outbrain-competition", "kernel_id": "150800"}, {"ref": "andreyg/explore-user-base-by-geo", "kernel_id": "102403"}, {"ref": "chinni/notebook19b028d8af", "kernel_id": "107591"}, {"ref": "kenin815/notebook10550eb2f7", "kernel_id": "115579"}, {"ref": "kenin815/notebook91e339ffcf", "kernel_id": "109129"}, {"ref": "kenin815/notebook246b6ea4d4", "kernel_id": "108849"}, {"ref": "philipplee/outbrain-eda", "kernel_id": "121604"}, {"ref": "philipplee/unveiling-page-views-csv-with-pyspark", "kernel_id": "121598"}, {"ref": "philipplee/explore-user-base-by-geo", "kernel_id": "124215"}, {"ref": "karma86/simple-r-platform-0-6398", "kernel_id": "122354"}, {"ref": "jaydentan/data-file", "kernel_id": "104150"}, {"ref": "yodadaydreamer/notebook2a9339cc5e", "kernel_id": "139642"}, {"ref": "saranyas/notebookf75de494ab", "kernel_id": "133419"}, {"ref": "hakeem/btb-0-63-0-63523", "kernel_id": "104015"}, {"ref": "refine/notebook70f98f9142", "kernel_id": "107792"}, {"ref": "chanchan/notebookece446b20b", "kernel_id": "127664"}, {"ref": "bikramdahal/data-wrangling-r", "kernel_id": "107955"}, {"ref": "huangxinwang/simple-r-platform-0-638", "kernel_id": "151853"}, {"ref": "kevinpan/outbrain-eda-fork", "kernel_id": "135599"}, {"ref": "jeblist/notebook33387e1772", "kernel_id": "103333"}, {"ref": "thesudhanshu/notebook7dc37da367", "kernel_id": "123198"}, {"ref": "anabatchian/pandas-lb-0-63709", "kernel_id": "133882"}, {"ref": "anabatchian/leakage-solution", "kernel_id": "135426"}, {"ref": "yunching/test123", "kernel_id": "108208"}, {"ref": "egozi5/explore-user-base-by-geo", "kernel_id": "102908"}, {"ref": "egozi5/notebook547d484c01", "kernel_id": "103276"}, {"ref": "egozi5/date-exploration-and-train-test-split", "kernel_id": "103321"}, {"ref": "dbsnail/outbrain-click", "kernel_id": "135102"}, {"ref": "sarahkelley/making-a-mini-data-set", "kernel_id": "116442"}, {"ref": "sarahkelley/notebook929b6b8fff", "kernel_id": "130734"}, {"ref": "towsonboy/notebook0aeb71f8f2", "kernel_id": "103900"}, {"ref": "markdavey/learning-data-tables", "kernel_id": "108435"}, {"ref": "markdavey/testing-simple-probability", "kernel_id": "117733"}, {"ref": "markdavey/info-2", "kernel_id": "157069"}, {"ref": "bekterra/outbrain-eda", "kernel_id": "107837"}, {"ref": "djpittdj/notebook01358ddb61", "kernel_id": "108340"}, {"ref": "moraval/notebook3945af6e7c", "kernel_id": "152671"}, {"ref": "rinalin/notebook816b6c3ef4", "kernel_id": "234074"}, {"ref": "rinalin/notebook904e5014e8", "kernel_id": "233981"}, {"ref": "rinalin/exercise-understand-the-users", "kernel_id": "231626"}, {"ref": "guolinke/notebookcd99fcfd5e", "kernel_id": "137460"}, {"ref": "soniashish/notebookb2420a21ee", "kernel_id": "102535"}, {"ref": "soniashish/outbrainclickprediction-rmd", "kernel_id": "102539"}, {"ref": "soniashish/outbrain", "kernel_id": "102540"}, {"ref": "gdoggg/notebook178cd5c023", "kernel_id": "136040"}, {"ref": "esawtooth/notebook284a8c048f", "kernel_id": "102485"}, {"ref": "nicoleeel/organizing-data", "kernel_id": "116794"}, {"ref": "yglsmith/notebook07eb0a3db8", "kernel_id": "143934"}, {"ref": "vinodmang/notebook68772e039a", "kernel_id": "118399"}, {"ref": "linjunli/notebooka0dedde5bf", "kernel_id": "103075"}, {"ref": "linjunli/notebook998cba6667", "kernel_id": "103080"}, {"ref": "linjunli/notebook908fc327b3", "kernel_id": "102843"}, {"ref": "linjunli/notebook7871faf347", "kernel_id": "103710"}, {"ref": "oliversherouse/notebook41891292c5", "kernel_id": "102334"}, {"ref": "sionek/simple-r-platform-0-638", "kernel_id": "117108"}, {"ref": "sionek/just7lines", "kernel_id": "146660"}, {"ref": "alemozz/notebookd6b9d2622f", "kernel_id": "141969"}, {"ref": "sskapci/notebook1baa5efc32", "kernel_id": "150766"}, {"ref": "ktugan/simple-graph-of-relations-between-the-csv-s", "kernel_id": "108332"}, {"ref": "ktugan/notebooke43efbd058", "kernel_id": "107612"}, {"ref": "rpsantosa/sneak-peak-at-the-data", "kernel_id": "102735"}, {"ref": "ofrimann/tests", "kernel_id": "102657"}, {"ref": "deeplifer/notebook2f6fb43946", "kernel_id": "102634"}, {"ref": "yigalw/unveiling-page-views-csv-with-pyspark", "kernel_id": "154889"}, {"ref": "yigalw/outbrain-eda", "kernel_id": "161557"}, {"ref": "su20yu1919/bill-su-and-his-support-group-kernel", "kernel_id": "107773"}, {"ref": "su20yu1919/notebook4ff8e7c5b9", "kernel_id": "109801"}, {"ref": "caiomsouza/simple-r-platform-0-638-20161217-001", "kernel_id": "139073"}, {"ref": "dodolong/notebook04d442aa84", "kernel_id": "103757"}, {"ref": "javierayunta/notebookef54e58ea0", "kernel_id": "153596"}, {"ref": "divyachalam/notebook50d1b7a469", "kernel_id": "130583"}, {"ref": "gmcgsokdeuvmt/notebookc02e3c1594", "kernel_id": "103752"}, {"ref": "frantz/notebook47489e2c97", "kernel_id": "104830"}, {"ref": "alenjacob123/outbrain-eda", "kernel_id": "105911"}, {"ref": "alenjacob123/outbrain-eda-c7403951", "kernel_id": "140591"}, {"ref": "truonghai001/notebooka2d5cee378", "kernel_id": "104940"}, {"ref": "truonghai001/data-preprocessing", "kernel_id": "104447"}, {"ref": "truonghai001/explore-dataset", "kernel_id": "104316"}, {"ref": "agavranis/simple-r-platform-0-638", "kernel_id": "119914"}, {"ref": "chezui/outbrain-eda", "kernel_id": "110133"}, {"ref": "chezui/notebookadfa2b54d0", "kernel_id": "110151"}, {"ref": "chezui/explore", "kernel_id": "110211"}, {"ref": "something4kag/b2b-0-63523-r-vers", "kernel_id": "104231"}, {"ref": "raghunanden/notebookfcf429d481", "kernel_id": "162400"}, {"ref": "raghunanden/data-prep", "kernel_id": "157543"}, {"ref": "passionofml/notebook92421c6250", "kernel_id": "116816"}, {"ref": "lalthan/notebook20f11a85d9", "kernel_id": "109207"}, {"ref": "lalthan/sample-data", "kernel_id": "106470"}, {"ref": "littlewat/notebook2a69b1e879", "kernel_id": "145937"}, {"ref": "sandeep30790/simple-r-0-63693", "kernel_id": "113638"}, {"ref": "b0nzo93/outbrain-eda", "kernel_id": "183768"}, {"ref": "lachjames/notebook4342b01892", "kernel_id": "113546"}, {"ref": "joconnor/date-exploration-and-train-test-split", "kernel_id": "103158"}, {"ref": "captlag/jl-test", "kernel_id": "151118"}, {"ref": "brassmonkey381/notebookad03af150a", "kernel_id": "102383"}, {"ref": "brassmonkey381/testing1", "kernel_id": "102479"}, {"ref": "brassmonkey381/event-distributions-by-region", "kernel_id": "102426"}, {"ref": "qqgeogor/keras-based-fm", "kernel_id": "107923"}, {"ref": "qqgeogor/pypy-implementation-of-fm-with-adam", "kernel_id": "153833"}, {"ref": "wslape/notebook35aaf095d5", "kernel_id": "123472"}, {"ref": "akki0206/testing", "kernel_id": "103848"}, {"ref": "akki0206/submission-1-2", "kernel_id": "103826"}, {"ref": "akki0206/submission-again", "kernel_id": "103593"}, {"ref": "akki0206/submission-1-0", "kernel_id": "103594"}, {"ref": "akki0206/notebook760f15bca3", "kernel_id": "103600"}, {"ref": "akki0206/submission-1-1", "kernel_id": "103808"}, {"ref": "akki0206/check-events", "kernel_id": "103232"}, {"ref": "akki0206/check-data", "kernel_id": "103152"}, {"ref": "akki0206/giba1-data-table-is-cool-lb-0-63714", "kernel_id": "121472"}, {"ref": "javaduke95/notebook8118839e25", "kernel_id": "133204"}, {"ref": "merryhunter/notebook626f820af1", "kernel_id": "104321"}, {"ref": "avigoz/stam-r", "kernel_id": "102391"}, {"ref": "nikhilgoyal/notebookefd50e4222", "kernel_id": "108530"}, {"ref": "johnsonwu/second-submit", "kernel_id": "102819"}, {"ref": "johnsonwu/notebook712d04d535", "kernel_id": "102823"}, {"ref": "tunguz/btb-0-63523-evaluation", "kernel_id": "104606"}, {"ref": "nomilk/sdfsd", "kernel_id": "105293"}, {"ref": "maxyak/notebookae9ff33e30", "kernel_id": "113311"}, {"ref": "poyuwu/example", "kernel_id": "120259"}, {"ref": "poyuwu/notebooke7470491bc", "kernel_id": "111296"}, {"ref": "ermochi/btb-0-63523-evaluation", "kernel_id": "106147"}, {"ref": "jyyeli/my-script", "kernel_id": "139009"}, {"ref": "acw236/notebookedf88e71e0", "kernel_id": "109065"}, {"ref": "djanssens/notebook3181af5f14", "kernel_id": "102957"}, {"ref": "tlanigan/outbrain-eda", "kernel_id": "104710"}, {"ref": "chandana/notebooka7efc9e9bf", "kernel_id": "105527"}, {"ref": "retrieverjo/outbrain-eda-start", "kernel_id": "147194"}, {"ref": "retrieverjo/outbrain-eda-7a6c596c", "kernel_id": "152229"}, {"ref": "isosnovik/xgbstate-1", "kernel_id": "104532"}, {"ref": "eidanch/notebookb95cc10c70", "kernel_id": "102934"}, {"ref": "asiamr/notebookbf3703b1a5", "kernel_id": "118448"}, {"ref": "tkm2261/bigquery-is-cool-lb-0-63692", "kernel_id": "116538"}, {"ref": "tkm2261/notebooka5d51a8d9d", "kernel_id": "116533"}, {"ref": "madhurmd/btb-1", "kernel_id": "103434"}, {"ref": "madhurmd/simple-r-platform-0-638", "kernel_id": "121080"}, {"ref": "pranjaypatil/notebookc7f27d830c", "kernel_id": "113874"}, {"ref": "myzhou1994/btb-0-63523-evaluation", "kernel_id": "104599"}, {"ref": "irenedvs/notebook1ff4eba7a6", "kernel_id": "102397"}, {"ref": "kusogray/notebookd03bc85e16", "kernel_id": "105754"}, {"ref": "kusogray/test-1", "kernel_id": "105755"}, {"ref": "kusogray/test1", "kernel_id": "105723"}, {"ref": "tislamov/simple-starter", "kernel_id": "107289"}, {"ref": "omarelgabry/the-mystery-of-outbrain-ads", "kernel_id": "108936"}, {"ref": "omarelgabry/testing", "kernel_id": "106948"}, {"ref": "bhuo1a/notebook79912b92d2", "kernel_id": "103184"}, {"ref": "yuanyepku/test-doc-eda", "kernel_id": "156190"}, {"ref": "vivek8943/vivek", "kernel_id": "109285"}, {"ref": "leekanghyuk/notebookcbd9f57d16", "kernel_id": "105678"}, {"ref": "nitinp/sample-r", "kernel_id": "118223"}, {"ref": "drjohn/explore-user-base-by-geo", "kernel_id": "124992"}, {"ref": "nikosias/easy-xgboost", "kernel_id": "142933"}, {"ref": "pankajvshrma/unveiling-page-views-csv-with-pyspark", "kernel_id": "115208"}, {"ref": "pankajvshrma/simple-r-platform-0-6398", "kernel_id": "122033"}, {"ref": "narae78/outbrain-eda-32d16726", "kernel_id": "107252"}, {"ref": "narae78/outbrain-eda", "kernel_id": "105352"}, {"ref": "danielhuckins/notebookfe46316b0e", "kernel_id": "106332"}, {"ref": "sky22357168/notebook9e3a65f666", "kernel_id": "102438"}, {"ref": "tommyw/notebook9c16fc99fb", "kernel_id": "105014"}, {"ref": "liouscott/notebookb53bd47824", "kernel_id": "109503"}, {"ref": "liouscott/notebook9d4501bb92", "kernel_id": "109035"}, {"ref": "kehanghan/outbrain-eda", "kernel_id": "149956"}, {"ref": "darinc/random-submission-just-for-fun", "kernel_id": "102569"}, {"ref": "darinc/notebook6d58ad34c7", "kernel_id": "102643"}, {"ref": "mail2rkjaiswal/outbrain-eda", "kernel_id": "106146"}, {"ref": "rohitc01/hello2", "kernel_id": "103553"}, {"ref": "rohitc01/notebook17a70f6f48", "kernel_id": "103541"}, {"ref": "apartmentguru/outbrain-data-snapshot-python", "kernel_id": "102309"}, {"ref": "minamoradi/notebookb16ac0cb8f", "kernel_id": "135192"}, {"ref": "haykirstin/visualising-data-for-outbrain-prediction", "kernel_id": "121743"}, {"ref": "lucienderubempre/notebook7332bde6cc", "kernel_id": "104620"}, {"ref": "shutak/notebook27d203b505", "kernel_id": "107514"}, {"ref": "eoghanf/notebook2c6b1ee822", "kernel_id": "211243"}, {"ref": "prashanth058/my-first", "kernel_id": "139304"}, {"ref": "prashanth058/notebook0c2c78aaa8", "kernel_id": "139324"}, {"ref": "prashanth058/notebook82d54cbe01", "kernel_id": "139325"}, {"ref": "matohara/explore-user-base-by-geo", "kernel_id": "112929"}, {"ref": "appu001/notebook4d886a2c5c", "kernel_id": "148801"}, {"ref": "arjoonn/scout-script", "kernel_id": "103207"}, {"ref": "madlily/notebook50fd024274", "kernel_id": "134541"}, {"ref": "vivekka93/first", "kernel_id": "102901"}, {"ref": "marcolinodev/mbc-btb", "kernel_id": "103109"}, {"ref": "rice010101/notebookf9550d4e13", "kernel_id": "152744"}, {"ref": "rice010101/test1", "kernel_id": "152748"}, {"ref": "austincap/where-when-what-companies-get-the-most-clicks", "kernel_id": "102314"}, {"ref": "ishgupta/test-123", "kernel_id": "112335"}, {"ref": "anokas/exploratory-data-analysis-1", "kernel_id": "103582"}, {"ref": "anokas/outbrain-eda", "kernel_id": "103626"}, {"ref": "anokas/regularized-btb-0-635", "kernel_id": "103510"}, {"ref": "mingu600/exploratory-notebook", "kernel_id": "127347"}, {"ref": "pielover/notebookdd27dea220", "kernel_id": "124994"}, {"ref": "pielover/notebook36e5aac753", "kernel_id": "125204"}, {"ref": "pielover/notebook47415aeec3", "kernel_id": "125240"}, {"ref": "pielover/girish", "kernel_id": "121074"}, {"ref": "pielover/notebooka4c406ea32", "kernel_id": "121861"}, {"ref": "pielover/initial-work", "kernel_id": "124726"}, {"ref": "pielover/date-exploration-and-train-test-split", "kernel_id": "109415"}, {"ref": "animeshdevarshi/simple-r", "kernel_id": "104905"}, {"ref": "sarame/notebook077785ad86", "kernel_id": "102630"}, {"ref": "karandewan/notebook54dc1758ca", "kernel_id": "109575"}, {"ref": "karandewan/notebook48e4c7f551", "kernel_id": "109541"}, {"ref": "karandewan/notebook7ac4edc499", "kernel_id": "107104"}, {"ref": "karandewan/notebookc0854e0e08", "kernel_id": "106456"}, {"ref": "suruisun/unveiling-page-views-csv-with-pyspark", "kernel_id": "108743"}, {"ref": "avlife/notebook2500669c82", "kernel_id": "122953"}, {"ref": "airiaddy/notebooke7662ecdec", "kernel_id": "112036"}, {"ref": "derbedhruv/notebook135d18dd2f", "kernel_id": "146265"}, {"ref": "derbedhruv/exploratory-eda", "kernel_id": "146263"}, {"ref": "laurae2/train-test-smaller-zip-files", "kernel_id": "102330"}, {"ref": "laurae2/sneak-peak-at-the-data", "kernel_id": "102304"}, {"ref": "gtrimarc/test-outbrain", "kernel_id": "134095"}, {"ref": "gtrimarc/outbrain-eda-c9f29910", "kernel_id": "154254"}, {"ref": "gtrimarc/notebook135f66be2b", "kernel_id": "154181"}, {"ref": "gtrimarc/explore-user-base-by-geo", "kernel_id": "154904"}, {"ref": "gtrimarc/date-exploration-and-train-test-split", "kernel_id": "154905"}, {"ref": "gtrimarc/notebookaa574b53b2", "kernel_id": "154109"}, {"ref": "gtrimarc/notebooka3202d68e0", "kernel_id": "153835"}, {"ref": "gtrimarc/outbrain-eda", "kernel_id": "153836"}, {"ref": "hangetuita/notebookd4cc482631", "kernel_id": "111067"}, {"ref": "hangetuita/script", "kernel_id": "108585"}, {"ref": "tedrand/notebooke22eca1e42", "kernel_id": "103027"}, {"ref": "amoln14/notebook3cab36e062", "kernel_id": "117686"}, {"ref": "captunez/notebook00d281bb79", "kernel_id": "118601"}, {"ref": "vihangpatil/simple-r-0-63693", "kernel_id": "122360"}, {"ref": "vihangpatil/simple-r-platform-0-638", "kernel_id": "151730"}, {"ref": "takuyasakaguchi/data-structure-analysis-1", "kernel_id": "102326"}, {"ref": "pandeyavinash/notebook7f1c0afd88", "kernel_id": "107062"}, {"ref": "kumarsh8483/explore-user-base-by-geo", "kernel_id": "104030"}, {"ref": "tngodup/notebookfc1d9b54e7", "kernel_id": "144840"}, {"ref": "sunlchk/explore-user-base-by-geo", "kernel_id": "102855"}, {"ref": "some01/testing-python-kernel", "kernel_id": "113641"}, {"ref": "some01/explore-user-base-by-geo", "kernel_id": "103912"}, {"ref": "sekrier/simple-r-0-638", "kernel_id": "148072"}, {"ref": "hhllcks/outbrain-click-prediction", "kernel_id": "137591"}, {"ref": "its7171/is-access-for-landing-of-ad-click-in-page-views", "kernel_id": "105599"}, {"ref": "its7171/leakage-solution", "kernel_id": "105601"}, {"ref": "its7171/is-landing-access-for-ad-clicks-in-page-views-csv", "kernel_id": "105819"}, {"ref": "nirupamkar/first-run", "kernel_id": "108627"}, {"ref": "nirupamkar/dummy-run-2", "kernel_id": "130630"}, {"ref": "chaithanya1996/capacity-test", "kernel_id": "103914"}, {"ref": "jihyeseo/outbrain-click-eda", "kernel_id": "958354"}, {"ref": "laura89/outbrain", "kernel_id": "108290"}, {"ref": "badoun/pandas-is-cool-lb-0-63714", "kernel_id": "156495"}, {"ref": "jeanlucla/unveiling-page-views-csv-with-pyspark", "kernel_id": "110807"}, {"ref": "jeanlucla/date-exploration-and-train-test-split", "kernel_id": "106855"}, {"ref": "jeanlucla/notebook42873d1154", "kernel_id": "105097"}, {"ref": "jeanlucla/outbrain-eda", "kernel_id": "104984"}, {"ref": "shezan1437/outbrain-eda-4ff635f4", "kernel_id": "134768"}, {"ref": "shezan1437/notebook34fd7b8edb", "kernel_id": "134726"}, {"ref": "shezan1437/outbrain-eda-8896f892", "kernel_id": "136468"}, {"ref": "richbrosius/exploration-1", "kernel_id": "106684"}, {"ref": "higoreduardo/notebookd49c834685", "kernel_id": "102613"}, {"ref": "higoreduardo/sneak-peak-at-the-data", "kernel_id": "102325"}, {"ref": "xameleoh/simple-ad-click-sort", "kernel_id": "106310"}, {"ref": "phillipmortimer/easy-random-forests", "kernel_id": "215857"}, {"ref": "sauravkaushik8/pandas2libffm", "kernel_id": "160084"}, {"ref": "pretendi/outbrain-eda", "kernel_id": "112952"}, {"ref": "igauty/date-exploration-and-train-test-split", "kernel_id": "122495"}, {"ref": "jessicac/notebook7569a43518", "kernel_id": "139334"}, {"ref": "manxing/notebookace3a67b69", "kernel_id": "123755"}, {"ref": "manxing/notebook1c15ec1774", "kernel_id": "123769"}, {"ref": "andnpatt/first-entry", "kernel_id": "133958"}, {"ref": "vjm261/explore-data", "kernel_id": "103030"}, {"ref": "asamigullin/notebook54b9946971", "kernel_id": "102368"}, {"ref": "boreas/count-id", "kernel_id": "127349"}, {"ref": "boreas/notebook15590a0968", "kernel_id": "127355"}, {"ref": "boreas/notebooka261acbeb2", "kernel_id": "127372"}, {"ref": "boreas/notebookbf857b2f2f", "kernel_id": "127388"}, {"ref": "pankajmishra/notebook7fce1cad59", "kernel_id": "102655"}, {"ref": "pankajmishra/notebookdd0c9aa88c", "kernel_id": "102313"}, {"ref": "marouane/notebookfad0b5500d", "kernel_id": "104302"}, {"ref": "satchmaus/initial-data-analysis-sql-fun", "kernel_id": "102319"}, {"ref": "lightforever/extract-leak-using-biqquery-it-takes-30-seconds", "kernel_id": "152386"}, {"ref": "rkparkjr/notebooka2833662a0", "kernel_id": "157821"}, {"ref": "rkparkjr/parkpy", "kernel_id": "157822"}, {"ref": "danielunderwood/outbrain-click-prediction", "kernel_id": "149533"}, {"ref": "kmilo89/notebook159ef65269", "kernel_id": "110827"}, {"ref": "zhenbangli/outbrain-eda", "kernel_id": "113858"}, {"ref": "om1042/explore-user-base-by-geo", "kernel_id": "103455"}, {"ref": "crownpku/outbrain-eda", "kernel_id": "104839"}, {"ref": "jjtoharia/outbrain-jjtz", "kernel_id": "111195"}, {"ref": "zgcgreat/notebook4f0cde2aff", "kernel_id": "121913"}, {"ref": "zgcgreat/outbrain-eda-59059210", "kernel_id": "119573"}, {"ref": "zgcgreat/notebookd073157fff", "kernel_id": "119985"}, {"ref": "zgcgreat/notebook14ddbc3c35", "kernel_id": "119188"}, {"ref": "zgcgreat/notebookc5f5dd3804", "kernel_id": "119335"}, {"ref": "chridam/outbrain-eda", "kernel_id": "177554"}, {"ref": "andreseliot/regularized-btb-0-635", "kernel_id": "104877"}, {"ref": "andreseliot/btb-0-63523-evaluation-2", "kernel_id": "105588"}, {"ref": "andreseliot/notebookf8417177f9", "kernel_id": "105462"}, {"ref": "prashantj123/basic-prediction-try", "kernel_id": "120080"}, {"ref": "jasonhere/outbrain-eda", "kernel_id": "112354"}, {"ref": "jasonhere/explore-user-base-by-geo", "kernel_id": "112407"}, {"ref": "journeycheng/outbrain-click-prediction", "kernel_id": "150488"}, {"ref": "journeycheng/notebookaa569faf0b", "kernel_id": "156313"}, {"ref": "journeycheng/notebookf402e8ad24", "kernel_id": "156176"}, {"ref": "journeycheng/notebookd6f1235766", "kernel_id": "156332"}, {"ref": "journeycheng/outbrain-eda", "kernel_id": "156153"}, {"ref": "journeycheng/notebook36b3e3c02b", "kernel_id": "156156"}, {"ref": "rockair/random-submission-just-for-fun", "kernel_id": "102683"}, {"ref": "jfamulare/notebook03e9fe9bff", "kernel_id": "113705"}, {"ref": "jfamulare/notebookd183234922", "kernel_id": "114078"}, {"ref": "savostinkaggle/notebook6c1f129f8c", "kernel_id": "103870"}, {"ref": "washingtonirving/notebookc1195aa0a2", "kernel_id": "105466"}, {"ref": "razvancosteanu/clicks-test-csv", "kernel_id": "104931"}, {"ref": "lihappy999/notebookfb6a0651a4", "kernel_id": "108546"}, {"ref": "swetabajaj/easy-random-forests", "kernel_id": "241814"}, {"ref": "csyhuang/look-at-page-views", "kernel_id": "103355"}, {"ref": "csyhuang/explore-uuid", "kernel_id": "103382"}, {"ref": "csyhuang/explore-user-base-by-geo", "kernel_id": "102859"}, {"ref": "samueldarkblade/notebookb023c81bd6", "kernel_id": "163812"}, {"ref": "samueldarkblade/notebook0d7d7bccce", "kernel_id": "161672"}, {"ref": "samueldarkblade/notebook3326387b56", "kernel_id": "149596"}, {"ref": "million/racestart", "kernel_id": "142862"}, {"ref": "million/notebook4f4a56d0cc", "kernel_id": "142875"}, {"ref": "lusiliang93/notebook55c6e869cb", "kernel_id": "146239"}, {"ref": "lusiliang93/notebooka0951ebb5a", "kernel_id": "146249"}, {"ref": "anki08/notebooka793f44baa", "kernel_id": "114434"}, {"ref": "diametralis/notebook197113eb74", "kernel_id": "122957"}, {"ref": "analyticsguru/explore-user-base-by-geo", "kernel_id": "118634"}, {"ref": "demoonism/simple-r-platform-0-638", "kernel_id": "158378"}, {"ref": "brainsqueezer/prueba", "kernel_id": "205692"}, {"ref": "weiyudang/notebookf521a62cdc", "kernel_id": "105426"}, {"ref": "sapphire0/outbrain-eda", "kernel_id": "108965"}, {"ref": "roger24/notebookc8e8aad9eb", "kernel_id": "147446"}, {"ref": "hbhargava2/testing2", "kernel_id": "105795"}, {"ref": "hbhargava2/apply-classification", "kernel_id": "104882"}, {"ref": "hbhargava2/notebook59cc887903", "kernel_id": "104883"}, {"ref": "hbhargava2/classification-solution", "kernel_id": "104884"}, {"ref": "hbhargava2/outbrain", "kernel_id": "103607"}, {"ref": "hbhargava2/data-understanding", "kernel_id": "103799"}, {"ref": "hbhargava2/predicting-clicks", "kernel_id": "116124"}, {"ref": "hbhargava2/predicting-clicks-estimating-the-ctr", "kernel_id": "115584"}, {"ref": "jamessw/from-ftrl-starter", "kernel_id": "139464"}, {"ref": "jamessw/running", "kernel_id": "139444"}, {"ref": "madhu1agrawal/btb-0-63523-evaluation", "kernel_id": "113111"}, {"ref": "adityakumarsinha/keras-based-fm", "kernel_id": "148872"}, {"ref": "riskmanagerindia/notebook6c3af2cda7", "kernel_id": "150091"}, {"ref": "riskmanagerindia/notebook09fa12a0b3", "kernel_id": "150092"}, {"ref": "angelmm/outbrain-pandas2", "kernel_id": "157591"}, {"ref": "angelmm/outbrain-pandas3-adposition", "kernel_id": "158354"}, {"ref": "angelmm/outbrain-pandas4-adposition", "kernel_id": "161976"}, {"ref": "angelmm/outbrain-pandas", "kernel_id": "153747"}, {"ref": "angelmm/pandas-is-cool-lb-0-63714", "kernel_id": "153688"}, {"ref": "slundy5122/notebook4fa6b3c6c4", "kernel_id": "109702"}, {"ref": "ponnath/notebook6cddb64e9b", "kernel_id": "107287"}, {"ref": "ponnath/notebook5b97b10966", "kernel_id": "105118"}, {"ref": "ponnath/first-notebook", "kernel_id": "106002"}, {"ref": "ponnath/notebook7c9e693bd4", "kernel_id": "130590"}, {"ref": "ponnath/notebook6da4391ea6", "kernel_id": "129618"}, {"ref": "subbareddyyeruva/explore-user-base-by-geo", "kernel_id": "103234"}, {"ref": "alareqi/notebook6c61d6b5f9", "kernel_id": "120839"}, {"ref": "robmaslh/notebookd9c7afc7b2", "kernel_id": "107392"}, {"ref": "ankur30/notebook67737c5f69", "kernel_id": "106830"}, {"ref": "ankur30/outbrain-eda", "kernel_id": "109214"}, {"ref": "xingobar/data-visualization", "kernel_id": "120943"}, {"ref": "xingobar/pandas-lb-0-63709", "kernel_id": "122889"}, {"ref": "xingobar/ftrl-starter", "kernel_id": "123299"}, {"ref": "sharnam19/notebookd36b6484b0", "kernel_id": "113986"}, {"ref": "sunilbandaru/test-v-0-1", "kernel_id": "148765"}, {"ref": "dmitrybaykin/notebook1c31084790", "kernel_id": "102578"}, {"ref": "myelinji/notebookd865402fcc", "kernel_id": "117027"}, {"ref": "myelinji/notebook5012e864dd", "kernel_id": "117029"}, {"ref": "sunnyrain/explore-user-base-by-geo", "kernel_id": "102763"}, {"ref": "sunnyrain/explore-user-base-by-geo-for-steve", "kernel_id": "102774"}, {"ref": "alekseyklementiev/test-002", "kernel_id": "109882"}, {"ref": "hmphuc/outbrain", "kernel_id": "106379"}, {"ref": "hmphuc/outbrain-16102016", "kernel_id": "106377"}, {"ref": "hmphuc/notebook88495a7ae8", "kernel_id": "106383"}, {"ref": "hmphuc/outbrain-phuchuynh", "kernel_id": "106384"}, {"ref": "alijs1/try-to-beat-the-benchmark", "kernel_id": "102328"}, {"ref": "svesal/outbrain-eda", "kernel_id": "136787"}, {"ref": "vedu44/unveiling-page-views-csv-with-pyspark", "kernel_id": "158223"}, {"ref": "vedu44/unveiling-page-views-csv-with-pyspark-346942ee", "kernel_id": "158225"}, {"ref": "mymkyt/people-click-same-ads-more-than-once", "kernel_id": "127387"}, {"ref": "mymkyt/notebook9275122a26", "kernel_id": "122450"}, {"ref": "mymkyt/quick-check", "kernel_id": "122451"}, {"ref": "ynskrishna/notebook6390a9a82c", "kernel_id": "103677"}, {"ref": "ynskrishna/notebook235f2ca385", "kernel_id": "105072"}, {"ref": "ynskrishna/outbrain", "kernel_id": "105073"}, {"ref": "zanospi/notebook24aac5a4d0", "kernel_id": "155523"}, {"ref": "dingyuyang/notebookff6ac5d557", "kernel_id": "105691"}, {"ref": "atsushiwagatsuma/notebookf9bc625bdf", "kernel_id": "106775"}, {"ref": "atsushiwagatsuma/notebook2044e60b88", "kernel_id": "107088"}, {"ref": "mdbmilkov/btb-smoothing", "kernel_id": "105206"}, {"ref": "mdbmilkov/date-exploration-and-train-test-split", "kernel_id": "114713"}, {"ref": "benfduffy/pandas-is-cool-lb-0-63714", "kernel_id": "163492"}, {"ref": "vaishnavib/trybda", "kernel_id": "215764"}, {"ref": "qingnan/outbrain-eda", "kernel_id": "149578"}, {"ref": "qingnan/notebook97aa8beaa0", "kernel_id": "149637"}, {"ref": "qingnan/notebookfe810ddaa3", "kernel_id": "149654"}, {"ref": "qingnan/notebookea0c8add7f", "kernel_id": "150526"}, {"ref": "qingnan/notebook59711e3ad0", "kernel_id": "154555"}, {"ref": "qingnan/notebook2b3bd78c93", "kernel_id": "154558"}, {"ref": "qingnan/notebook5c48b8dbed", "kernel_id": "154699"}, {"ref": "qingnan/notebookd4214f5cc3", "kernel_id": "154691"}, {"ref": "qingnan/notebook7a26640af8", "kernel_id": "154795"}, {"ref": "qingnan/notebook01b3464991", "kernel_id": "155255"}, {"ref": "qingnan/notebookc6222db311", "kernel_id": "157106"}, {"ref": "qingnan/notebook9df11108bf", "kernel_id": "156491"}, {"ref": "qingnan/notebook0bce519967", "kernel_id": "159873"}, {"ref": "qingnan/notebook9703b4a3bd", "kernel_id": "158754"}, {"ref": "qingnan/notebook85a6137552", "kernel_id": "157246"}, {"ref": "qingnan/notebook4f1a3c0b44", "kernel_id": "157992"}, {"ref": "qingnan/notebook24763c96ca", "kernel_id": "160746"}, {"ref": "qingnan/notebook33e86d8f5d", "kernel_id": "160504"}, {"ref": "qingnan/notebooked8d203932", "kernel_id": "161536"}, {"ref": "ailonv/notebook0c6a4524bd", "kernel_id": "145780"}, {"ref": "anknull/testing", "kernel_id": "102900"}, {"ref": "shumpathy/notebook16eb9de545", "kernel_id": "102837"}, {"ref": "anvibhat/notebookce31e73cb0", "kernel_id": "219125"}, {"ref": "anvibhat/notebookc434d850c5", "kernel_id": "219126"}, {"ref": "naidu1/notebook641edc357b", "kernel_id": "102604"}, {"ref": "tarras/notebook693f9e8020", "kernel_id": "103337"}, {"ref": "jamesmcgrath/outbrain-eda", "kernel_id": "135111"}, {"ref": "ravichinoy/notebookaa141c558c", "kernel_id": "105264"}, {"ref": "ravichinoy/notebooked0f066bc9", "kernel_id": "106229"}, {"ref": "mbeierling/outbrain-eda", "kernel_id": "155572"}, {"ref": "mbeierling/outbrain-eda-3b192bda", "kernel_id": "155574"}, {"ref": "binilg/ftrl-starter-with-leakage-vars", "kernel_id": "141795"}, {"ref": "jaykashyappadhya/outbrain-eda", "kernel_id": "128645"}, {"ref": "bassykuo/notebookeec34c4ccb", "kernel_id": "145791"}, {"ref": "pganjoo/alpha5", "kernel_id": "104080"}, {"ref": "hilbertv/temp-notebook", "kernel_id": "104390"}, {"ref": "roggin/trying-predict-ads-from-users-history", "kernel_id": "102491"}, {"ref": "shleedynamics/notebookb260518351", "kernel_id": "152147"}, {"ref": "shleedynamics/notebook3a85a27943", "kernel_id": "161170"}, {"ref": "shleedynamics/notebookc3ca3505b5", "kernel_id": "161237"}, {"ref": "shleedynamics/outbrain-eda", "kernel_id": "158134"}, {"ref": "mrminister/print90", "kernel_id": "141963"}, {"ref": "goffic/notebookd87e6dc5f6", "kernel_id": "113996"}, {"ref": "goffic/import-numpy-as-np", "kernel_id": "118599"}, {"ref": "kalipon/simple-r-platform-0-638", "kernel_id": "132443"}, {"ref": "dandanmylady/notebook12ff40e4de", "kernel_id": "104246"}, {"ref": "fernandodamasio/notebookb030beb855", "kernel_id": "103124"}, {"ref": "tomorrowready/tomorrowready-outbrain-data-analysis", "kernel_id": "103491"}, {"ref": "zyunzhou/notebookc3d8e12da2", "kernel_id": "121089"}, {"ref": "michaelwest/notebookcdde5f0321", "kernel_id": "118277"}, {"ref": "zcg2008/notebook677609ac3e", "kernel_id": "119965"}, {"ref": "lavande233/notebook92d83c82e8", "kernel_id": "108625"}, {"ref": "abcrank/notebooka2a810517c", "kernel_id": "121781"}, {"ref": "abcrank/testing-testing-1", "kernel_id": "135380"}, {"ref": "a1ibeyram/preparation", "kernel_id": "103032"}, {"ref": "powderman/fork-of-notebook123c4b0cbd-5fac82d9", "kernel_id": "141944"}, {"ref": "powderman/notebook13033538dc", "kernel_id": "137398"}, {"ref": "powderman/notebook587377fab1", "kernel_id": "137997"}, {"ref": "powderman/notebook6581724b7c", "kernel_id": "137967"}, {"ref": "powderman/fork-of-notebook123c4b0cbd-4796ac97", "kernel_id": "139508"}, {"ref": "powderman/fork-of-notebook123c4b0cbd", "kernel_id": "139495"}, {"ref": "kikishmiki/outbrain-click-prediction", "kernel_id": "106854"}, {"ref": "rpygamer/notebook93955e99a0", "kernel_id": "104377"}, {"ref": "rpygamer/date-exploration-and-train-test-split", "kernel_id": "104423"}, {"ref": "aradeh/outbrain-eda", "kernel_id": "108516"}, {"ref": "muriyizz/erwerwer", "kernel_id": "107834"}, {"ref": "abhijeetnazar/notebook841aa8ac97", "kernel_id": "102568"}, {"ref": "abhijeetnazar/notebook6de5cbf463", "kernel_id": "109546"}, {"ref": "socathie/btb-0-63-0-63523", "kernel_id": "103712"}, {"ref": "jphegde/explore-user-base-by-geo", "kernel_id": "102762"}, {"ref": "kozko2001/notebookbe7b311e25", "kernel_id": "149217"}, {"ref": "deshpana/explore-user-base-by-geo", "kernel_id": "102709"}, {"ref": "carlosroig/test2", "kernel_id": "105922"}, {"ref": "carlosroig/leakage-solution", "kernel_id": "105917"}, {"ref": "carlosroig/notebook-work-in-progress", "kernel_id": "104271"}, {"ref": "lemoinef/outbrain-my-first-kaggle-notebook", "kernel_id": "117853"}, {"ref": "bhuvaneshwaran/notebookac65945ff4", "kernel_id": "109509"}, {"ref": "senthilrameshjv/random-submission-just-for-fun", "kernel_id": "102890"}, {"ref": "serfcx/outbrain-eda", "kernel_id": "108155"}, {"ref": "r04942031/pandas-is-cool-lb-0-63714", "kernel_id": "129625"}, {"ref": "r04942031/outbrain-eda-0fd1fe20", "kernel_id": "129626"}, {"ref": "saqwedcxz0329/notebook2bbd7ad78a", "kernel_id": "131836"}, {"ref": "aaronjen/notebook10cdefe4de", "kernel_id": "150573"}, {"ref": "aaronjen/notebookfe68fb6e26", "kernel_id": "141937"}, {"ref": "aaronjen/notebook5c3f4860ae", "kernel_id": "141938"}, {"ref": "ivanyen/notebook0e2460442e", "kernel_id": "105747"}, {"ref": "sukoko/notebookf82ff171a2", "kernel_id": "107248"}, {"ref": "sukoko/try-first-time", "kernel_id": "107250"}, {"ref": "b02901120/notebookf4a2ed09b6", "kernel_id": "146688"}, {"ref": "devbrat/notebook554ccc8b63", "kernel_id": "105313"}, {"ref": "sololament/notebook5241a6f9ba", "kernel_id": "117477"}, {"ref": "garimaprasad/unveiling-page-views-csv-with-pyspark", "kernel_id": "129006"}, {"ref": "yinxingxue/unveiling-page-views-csv-with-pyspark", "kernel_id": "115158"}, {"ref": "chiahoo2004/notebook0c1a6e4935", "kernel_id": "128223"}, {"ref": "kosta021/btb-0-63523-evaluation", "kernel_id": "151718"}, {"ref": "firsec/outbrain", "kernel_id": "103464"}, {"ref": "b03901028/notebooke0e3c76cdc", "kernel_id": "153025"}, {"ref": "b03901028/notebookb3563b343d", "kernel_id": "132974"}, {"ref": "tthhmm/notebook804095f326", "kernel_id": "109024"}, {"ref": "tthhmm/haiming-test1", "kernel_id": "109021"}, {"ref": "gujiani/date-exploration-and-train-test-split", "kernel_id": "106148"}, {"ref": "gujiani/the-mystery-of-outbrain-ads", "kernel_id": "114830"}, {"ref": "furita2/notebookf064c0691a", "kernel_id": "143145"}, {"ref": "cziszero/notebook93a8fbba31", "kernel_id": "102790"}, {"ref": "csabyte/explore-user-base-by-geo", "kernel_id": "102844"}, {"ref": "gary830317/notebook0f1f4452fa", "kernel_id": "126538"}, {"ref": "changingivan/outbrain-eda", "kernel_id": "153265"}, {"ref": "changingivan/outbrain-eda-8331b575", "kernel_id": "153331"}, {"ref": "madhuraraut/notebook921164a289", "kernel_id": "120952"}, {"ref": "yossisal/nb111", "kernel_id": "103294"}, {"ref": "scottychung/notebookb075ca5746", "kernel_id": "108171"}, {"ref": "scottychung/notebook6aa094666e", "kernel_id": "107806"}, {"ref": "remnsh/btb-0-63-0-63523-0-63659", "kernel_id": "105321"}, {"ref": "paycoder/notebook8eec030c6b", "kernel_id": "103589"}, {"ref": "cheulwon/notebookbaba292f5a", "kernel_id": "113909"}, {"ref": "rahulg01/notebookc8f4d1e349", "kernel_id": "151599"}, {"ref": "nichole/notebook5b5f8a4046", "kernel_id": "105467"}, {"ref": "hijane/outbrain-eda", "kernel_id": "119703"}, {"ref": "migueldoblado/test-py", "kernel_id": "104191"}, {"ref": "pankajb64/notebook9f70f68d30", "kernel_id": "154473"}, {"ref": "huangpanxx/sneak-peak-at-the-data", "kernel_id": "104275"}, {"ref": "iushashi/outbrain-eda", "kernel_id": "137283"}, {"ref": "mtriedl/notebook8b6456abc1", "kernel_id": "115228"}, {"ref": "wezteoh/notebookac687f6d1e", "kernel_id": "115776"}, {"ref": "wezteoh/notebookcd52165eb3", "kernel_id": "123986"}, {"ref": "bmallala/notebookaa5a109ebe", "kernel_id": "133412"}, {"ref": "numadhamani/notebook27f5531277", "kernel_id": "136031"}, {"ref": "numadhamani/notebook13a4e145fb", "kernel_id": "135385"}, {"ref": "numadhamani/testing-testing", "kernel_id": "135386"}, {"ref": "malkin/notebookbacfc686bd", "kernel_id": "106265"}, {"ref": "itsabookso/notebook28eb903435", "kernel_id": "106510"}, {"ref": "itsabookso/notebook0f6d8bd362", "kernel_id": "108545"}, {"ref": "jyodevin/outbrain-eda", "kernel_id": "137408"}, {"ref": "ankur93/the-mystery-of-outbrain-ads-predictions", "kernel_id": "107896"}, {"ref": "ankur93/unveiling-page-views-csv-with-pyspark", "kernel_id": "106971"}, {"ref": "ankur93/simple-graph-of-relations-between-the-csv-s", "kernel_id": "118181"}, {"ref": "ymograi/notebookb267bbf279", "kernel_id": "111710"}, {"ref": "marcuszhu/date-exploration-and-train-test-split", "kernel_id": "122367"}, {"ref": "marcuszhu/explore-user-base-by-geo", "kernel_id": "122364"}, {"ref": "marcuszhu/submission", "kernel_id": "120399"}, {"ref": "buglenka/first-try-r", "kernel_id": "141647"}, {"ref": "lapone/outbrain-eda", "kernel_id": "116754"}, {"ref": "vandanak24/notebook7a562b3ef0", "kernel_id": "118423"}, {"ref": "pandeydevanshuh/outbrain-eda", "kernel_id": "110137"}, {"ref": "jds5228/notebookb65d316cd5", "kernel_id": "109046"}, {"ref": "jszhang0001/notebooka4e0dfd4e3", "kernel_id": "109095"}, {"ref": "shenleifighting/notebookc7503c73ea", "kernel_id": "114326"}, {"ref": "shenleifighting/notebook26df6dc2f7", "kernel_id": "113965"}, {"ref": "swombo/notebook26782c5b5a", "kernel_id": "109706"}, {"ref": "swombo/outbrain-eda-fcdab4ab", "kernel_id": "110023"}, {"ref": "swombo/outbrain-eda", "kernel_id": "110017"}, {"ref": "lisajune/notebook27ac311e09", "kernel_id": "131858"}, {"ref": "lisajune/outclick-documentsandevents", "kernel_id": "131859"}, {"ref": "maciekpawlowski/notebook3ca89f418c", "kernel_id": "116188"}, {"ref": "wenchenkof2001/kaggle", "kernel_id": "121417"}, {"ref": "b03901037blue/notebook9828f420d0", "kernel_id": "164857"}, {"ref": "b03901037blue/notebook7c9093114d", "kernel_id": "142299"}, {"ref": "b03901037blue/notebookc7296a707a", "kernel_id": "142288"}, {"ref": "b03901037blue/notebook578ee1cd2f", "kernel_id": "136719"}, {"ref": "hjethwa/notebookd197b9359d", "kernel_id": "151862"}, {"ref": "hjethwa/notebook749c329130", "kernel_id": "151868"}, {"ref": "hjethwa/testds", "kernel_id": "148579"}, {"ref": "hjethwa/notebook0689ac8baf", "kernel_id": "148580"}, {"ref": "hjethwa/newtest", "kernel_id": "137284"}, {"ref": "hjethwa/notebook5f235367b4", "kernel_id": "137286"}, {"ref": "kdferreira/outbrain-eda", "kernel_id": "110139"}, {"ref": "masahcdm/outbrain-eda", "kernel_id": "156008"}, {"ref": "masahcdm/notebook635bfa400d", "kernel_id": "157539"}, {"ref": "vishaljc77/testing", "kernel_id": "157460"}, {"ref": "chaoyue/outbrain-eda", "kernel_id": "159719"}, {"ref": "chaoyue/notebook2956b10eae", "kernel_id": "111381"}, {"ref": "kpratik41/notebook7d82e035f0", "kernel_id": "136426"}, {"ref": "taowenwu/notebook67f0397d1e", "kernel_id": "151523"}, {"ref": "taowenwu/notebook4cd5562158", "kernel_id": "153179"}, {"ref": "yoshscl/ftrl-run", "kernel_id": "157477"}, {"ref": "yoshscl/notebooka67074c520", "kernel_id": "157480"}, {"ref": "yoshscl/view-data", "kernel_id": "114953"}, {"ref": "brianpickrell/notebookc10a38f5d5", "kernel_id": "118573"}, {"ref": "brianpickrell/notebook88a0c09c1a", "kernel_id": "159517"}, {"ref": "sandman81/notebook99ce23eca4", "kernel_id": "154237"}, {"ref": "amingheibi/test-notebook", "kernel_id": "113014"}, {"ref": "amingheibi/outbrain-eda", "kernel_id": "113766"}, {"ref": "rong22222/notebookf5dfa33062", "kernel_id": "113880"}, {"ref": "marlontrujillo/notebookeebe2b4ab3", "kernel_id": "123645"}, {"ref": "marlontrujillo/ejemplo", "kernel_id": "158234"}, {"ref": "marlontrujillo/notebook8da5544a58", "kernel_id": "158236"}, {"ref": "marlontrujillo/prueba", "kernel_id": "158210"}, {"ref": "anwenq/outbrain-eda", "kernel_id": "130562"}, {"ref": "vijaygtav/initial-work", "kernel_id": "121550"}, {"ref": "vijaygtav/notebook1105e68d73", "kernel_id": "121023"}, {"ref": "vijaygtav/notebook7511958ad2", "kernel_id": "121092"}, {"ref": "rissonyao/notebook2779c5671c", "kernel_id": "113210"}, {"ref": "rissonyao/notebook66ff887e0e", "kernel_id": "116047"}, {"ref": "bliscar/notebook96fdfd3c43", "kernel_id": "114160"}, {"ref": "saeedt2977/notebook571addec97", "kernel_id": "161459"}, {"ref": "drdoot/notebook4bad70d246", "kernel_id": "113989"}, {"ref": "tiffanyxu0104/outbrain-eda", "kernel_id": "127057"}, {"ref": "wafabenaissa/notebook173926eea8", "kernel_id": "211315"}, {"ref": "wafabenaissa/notebook628536101c", "kernel_id": "242917"}, {"ref": "wafabenaissa/notebook5c2c09328a", "kernel_id": "242864"}, {"ref": "wafabenaissa/notebookdeddd240ce", "kernel_id": "242396"}, {"ref": "wafabenaissa/merge-clicks-train-and-events", "kernel_id": "242361"}, {"ref": "shan224/outbrain-eda", "kernel_id": "120866"}, {"ref": "daam13/notebooka7b8ad65a5", "kernel_id": "116276"}, {"ref": "zydendata/notebooke735787714", "kernel_id": "116117"}, {"ref": "moariful/notebook83d3a706fb", "kernel_id": "132398"}, {"ref": "moariful/notebooka381bf109f", "kernel_id": "133330"}, {"ref": "moariful/notebook856a648fea", "kernel_id": "136161"}, {"ref": "moariful/notebook3a13b51468", "kernel_id": "135008"}, {"ref": "akihiro35/outbrain-eda", "kernel_id": "146730"}, {"ref": "nellatl/notebook2cc1db1578", "kernel_id": "119075"}, {"ref": "akshaycap/outbrain-eda", "kernel_id": "118576"}, {"ref": "akshaycap/outbrain-eda-1682ccb3", "kernel_id": "118663"}, {"ref": "jasonleemiemie/outbrain-eda", "kernel_id": "120106"}, {"ref": "umesh6aig/notebookcd88bbe536", "kernel_id": "119166"}, {"ref": "tyriit/title", "kernel_id": "119213"}, {"ref": "hanania/outbrain-eda", "kernel_id": "125282"}, {"ref": "mitulap/simple-r-start", "kernel_id": "123509"}, {"ref": "mitulap/python-script", "kernel_id": "123523"}, {"ref": "yaoyi1992/notebookb843e0ca4a", "kernel_id": "143494"}, {"ref": "narasimha46/notebooka983eca9b2", "kernel_id": "122003"}, {"ref": "narasimha46/simha2", "kernel_id": "121999"}, {"ref": "narasimha46/simha3", "kernel_id": "123129"}, {"ref": "narasimha46/outbrain-eda", "kernel_id": "129907"}, {"ref": "sandris/notebookb6f2170c45", "kernel_id": "128708"}, {"ref": "nathansparks/explore-user-base-by-geo", "kernel_id": "147893"}, {"ref": "arkels/simple-r-0-63693", "kernel_id": "130587"}, {"ref": "leedongkyu/notebook03cee07e6c", "kernel_id": "123737"}, {"ref": "leedongkyu/test-outbrain", "kernel_id": "123739"}, {"ref": "leedongkyu/test-outbrain2", "kernel_id": "123741"}, {"ref": "lg895342449/outbrain-eda", "kernel_id": "127634"}, {"ref": "shinntitech/notebooke469624672", "kernel_id": "122817"}, {"ref": "peidyen/explore-user-base-by-geo", "kernel_id": "128899"}, {"ref": "peidyen/date-exploration-and-train-test-split", "kernel_id": "128900"}, {"ref": "peidyen/outbrain-eda", "kernel_id": "128869"}, {"ref": "satyammawale/notebookc5e5355a1a", "kernel_id": "128242"}, {"ref": "amalptsr/outbrain-eda-800f50d1", "kernel_id": "140304"}, {"ref": "amalptsr/explore-user-base-by-geo", "kernel_id": "139435"}, {"ref": "amalptsr/outbrain-eda", "kernel_id": "139439"}, {"ref": "amalptsr/outbrain-eda-761d93d1", "kernel_id": "139575"}, {"ref": "amalptsr/explore-user-base-by-geo-71b39cb4", "kernel_id": "139576"}, {"ref": "setpoint/notebook240d44f934", "kernel_id": "154103"}, {"ref": "vicky8rk/notebook5f5daa066d", "kernel_id": "128734"}, {"ref": "vicky8rk/notebook1d81cafd2c", "kernel_id": "128726"}, {"ref": "srirsith/outbrain-eda", "kernel_id": "131561"}, {"ref": "srirsith/outbrain-eda-7871d460", "kernel_id": "133237"}, {"ref": "coderhua/notebook7ef25b39da", "kernel_id": "133649"}, {"ref": "coderhua/compute", "kernel_id": "145998"}, {"ref": "ggaaen/ddddd", "kernel_id": "130766"}, {"ref": "mohamed1/outbrain-eda", "kernel_id": "183878"}, {"ref": "meishuguo/outbrain-eda", "kernel_id": "132117"}, {"ref": "meishuguo/notebooka455499f1d", "kernel_id": "132137"}, {"ref": "meishuguo/test1", "kernel_id": "132111"}, {"ref": "newsamurai/test1", "kernel_id": "155582"}, {"ref": "bsoltanifar/pandas-lb-0-63709", "kernel_id": "133871"}, {"ref": "elevmor/notebook048dca781b", "kernel_id": "133825"}, {"ref": "hongyangwang/notebookd9a267606e", "kernel_id": "137463"}, {"ref": "firedemon/notebookd2246c9a68", "kernel_id": "137478"}, {"ref": "firedemon/notebookbd2f75e9a6", "kernel_id": "137450"}, {"ref": "firedemon/notebook07b0fd2580", "kernel_id": "143968"}, {"ref": "firedemon/sample", "kernel_id": "144411"}, {"ref": "rodrigokryb/notebook50ab228fd8", "kernel_id": "151191"}, {"ref": "rodrigokryb/teste", "kernel_id": "151202"}, {"ref": "curiosity94/first", "kernel_id": "136441"}, {"ref": "mtnayt/notebook2871dc013e", "kernel_id": "141940"}, {"ref": "ashish21/notebook78d07d9948", "kernel_id": "138313"}, {"ref": "krypton/notebookee836c00f6", "kernel_id": "201148"}, {"ref": "krypton/testingoutbrain-v3kr", "kernel_id": "201163"}, {"ref": "puremath86/notebook66d43777ee", "kernel_id": "152007"}, {"ref": "puremath86/script1", "kernel_id": "152008"}, {"ref": "puremath86/script2", "kernel_id": "152125"}, {"ref": "adityavithaldas/notebookde43f614ad", "kernel_id": "138950"}, {"ref": "kimberlydevi/notebookd8606d1b52", "kernel_id": "139473"}, {"ref": "clevereve/notebook507997c248", "kernel_id": "147936"}, {"ref": "szamba/test1", "kernel_id": "140529"}, {"ref": "fuzzybandit77/test1", "kernel_id": "140672"}, {"ref": "k5hans/outbrain-eda", "kernel_id": "142282"}, {"ref": "k5hans/notebook0762767f2a", "kernel_id": "142284"}, {"ref": "mcdreamyzzz/notebooka661736d4b", "kernel_id": "141557"}, {"ref": "mcdreamyzzz/initial", "kernel_id": "141560"}, {"ref": "mcdreamyzzz/notebook249f1a567f", "kernel_id": "141561"}, {"ref": "qianglyu/analysis", "kernel_id": "142823"}, {"ref": "qianglyu/notebook31332d7986", "kernel_id": "143481"}, {"ref": "qianglyu/some-analysis-before-designing-learning-model", "kernel_id": "143442"}, {"ref": "sonads/notebook52b1963d37", "kernel_id": "142628"}, {"ref": "sonads/notebookb11c12df20", "kernel_id": "142664"}, {"ref": "sonads/notebook7455cbb1df", "kernel_id": "145595"}, {"ref": "mumech/simple-r-platform-0-638", "kernel_id": "161181"}, {"ref": "traveler1/notebook8f02c13554", "kernel_id": "160427"}, {"ref": "traveler1/notebook864f3d4d92", "kernel_id": "160425"}, {"ref": "sarthakkaingade/trial", "kernel_id": "144954"}, {"ref": "ainey3024/notebook48f370c6a6", "kernel_id": "147295"}, {"ref": "vishwanigupta/notebook6d4251212b", "kernel_id": "146633"}, {"ref": "lenchanteur/notebooke1117da2a0", "kernel_id": "174110"}, {"ref": "lenchanteur/outbrain-eda", "kernel_id": "174951"}, {"ref": "anilhk/schema-inference-1", "kernel_id": "153305"}, {"ref": "anilhk/sneak-peak-at-the-data", "kernel_id": "153401"}, {"ref": "anilhk/explore-user-base-by-geo", "kernel_id": "155313"}, {"ref": "tonyfrancis/notebook8249b1cf0c", "kernel_id": "152003"}, {"ref": "yxlrei/notebook3b13b7c670", "kernel_id": "212014"}, {"ref": "yxlrei/notebookca18d0a09d", "kernel_id": "262120"}, {"ref": "protonuber/notebookcfd8d450c6", "kernel_id": "153405"}, {"ref": "yotohito/outbrain-eda", "kernel_id": "154599"}, {"ref": "ucaksbu/notebook3e21bdf8f5", "kernel_id": "214841"}, {"ref": "ucaksbu/outbrain-v1", "kernel_id": "214842"}, {"ref": "ucaksbu/asdfa-1", "kernel_id": "214857"}, {"ref": "tamarapepping/unveiling-page-views-csv-with-pyspark", "kernel_id": "194020"}, {"ref": "varopilia/explore-user-base-by-geo", "kernel_id": "167012"}, {"ref": "varopilia/explore-user-base-by-geo-2b302a39", "kernel_id": "167923"}, {"ref": "nayanam/notebooka68032c3eb", "kernel_id": "178962"}, {"ref": "ucfrtt/outbrain-eda", "kernel_id": "177448"}, {"ref": "haoruo/notebook0e923964e0", "kernel_id": "195847"}, {"ref": "jingfeng/brains", "kernel_id": "224284"}, {"ref": "rcodin/asasas", "kernel_id": "232186"}, {"ref": "rcodin/just-try", "kernel_id": "229968"}, {"ref": "rcodin/trying", "kernel_id": "230030"}, {"ref": "ghostmp/notebook71f39c2346", "kernel_id": "274557"}, {"ref": "ravali121/outbrain-eda", "kernel_id": "242811"}, {"ref": "hdj0401/submission-with-platform-features-removed", "kernel_id": "1922754"}, {"ref": "movahedmanesh/ctr-prediction-tasks", "kernel_id": "9441482"}, {"ref": "mohammaddilshad/unveiling-page-views-csv-with-pyspark", "kernel_id": "11088844"}, {"ref": "mohammaddilshad/unveiling-page-views-csv-with-pyspark-9ef67b", "kernel_id": "11088845"}, {"ref": "tianyanxiaobai/btb-0-63523-evaluation", "kernel_id": "26391876"}]}
{"competition_id": "5498", "kernels": []}
{"competition_id": "5499", "kernels": []}
{"competition_id": "5520", "kernels": []}
{"competition_id": "5532", "kernels": []}
{"competition_id": "5534", "kernels": []}
{"competition_id": "5548", "kernels": []}
{"competition_id": "5555", "kernels": []}
{"competition_id": "5558", "kernels": [{"ref": "antgoldbloom/test1", "kernel_id": "138453"}, {"ref": "antgoldbloom/detailed-cleaning-visualization-python", "kernel_id": "138454"}, {"ref": "anandjeyahar/detailed-cleaning-visualization-python", "kernel_id": "140191"}, {"ref": "anandjeyahar/detailed-cleaning-visualization-python-c9680a63", "kernel_id": "140302"}, {"ref": "quansun/reduce-size-of-dataset-to-1-gb", "kernel_id": "136582"}, {"ref": "quansun/detailed-cleaning-visualization-python", "kernel_id": "130732"}, {"ref": "alexxanderlarko/zft-1711v", "kernel_id": "118846"}, {"ref": "alexxanderlarko/zft-1711", "kernel_id": "118584"}, {"ref": "alexxanderlarko/mass-hashes-v35-k-10", "kernel_id": "120000"}, {"ref": "alexxanderlarko/xgb-pyt-2211ver2", "kernel_id": "120997"}, {"ref": "alexxanderlarko/xft-1411", "kernel_id": "117175"}, {"ref": "alexxanderlarko/zft-0411", "kernel_id": "114279"}, {"ref": "alexxanderlarko/santander-battle-0211", "kernel_id": "112492"}, {"ref": "alexxanderlarko/zft-0211", "kernel_id": "112359"}, {"ref": "alexxanderlarko/zft-0111", "kernel_id": "112081"}, {"ref": "alexxanderlarko/zft0111", "kernel_id": "111903"}, {"ref": "alexxanderlarko/mass-hashes-sb-0311", "kernel_id": "112749"}, {"ref": "alexxanderlarko/sb-0311r", "kernel_id": "112783"}, {"ref": "alexxanderlarko/rf2710", "kernel_id": "110343"}, {"ref": "alexxanderlarko/ens2710", "kernel_id": "110378"}, {"ref": "benhamner/notebook9f95ad804a", "kernel_id": "116173"}, {"ref": "benhamner/notebook3f951bc9a8", "kernel_id": "121825"}, {"ref": "tejamoy/reduce-size-of-dataset-to-1-gb", "kernel_id": "141405"}, {"ref": "chefele/r-summary-of-data", "kernel_id": "118372"}, {"ref": "dchudz/detailed-cleaning-visualization-python", "kernel_id": "122655"}, {"ref": "truyen/simple-exploration-notebook", "kernel_id": "110675"}, {"ref": "geekosaurus/notebookce789676a9", "kernel_id": "110331"}, {"ref": "iamivo/antiguedad-for-fecha-dato", "kernel_id": "125239"}, {"ref": "iamivo/selecting-customers-for-training", "kernel_id": "125244"}, {"ref": "guyko81/notebooke1d8144430", "kernel_id": "112051"}, {"ref": "itsnadeem85/notebook1198bedfa4", "kernel_id": "110512"}, {"ref": "nit254/detailed-cleaning-visualization-python", "kernel_id": "134882"}, {"ref": "gykovacs/notebook92b909ebd1", "kernel_id": "111086"}, {"ref": "zhukov/explore-data", "kernel_id": "111072"}, {"ref": "gauravtaneja/data-exploration", "kernel_id": "110309"}, {"ref": "jeongyoonlee/from-vishalakha", "kernel_id": "142485"}, {"ref": "nathantheshark/notebook16561facb5", "kernel_id": "111285"}, {"ref": "paoduromacmoney/reduce-size-of-dataset-to-1-gb", "kernel_id": "120326"}, {"ref": "paoduromacmoney/detailed-cleaning-visualization-python-191a9dd9", "kernel_id": "121843"}, {"ref": "paoduromacmoney/detailed-cleaning-visualization-python-d991c8f2", "kernel_id": "121873"}, {"ref": "paoduromacmoney/detailed-cleaning-visualization-python-20e6c611", "kernel_id": "124506"}, {"ref": "jeannief/reduce-size-of-dataset-to-1-gb", "kernel_id": "122612"}, {"ref": "jeannief/detailed-cleaning-visualization-python-ed97a627", "kernel_id": "122517"}, {"ref": "jeannief/detailed-cleaning-visualization-python", "kernel_id": "121665"}, {"ref": "dmytrolystopad/when-less-is-more-23", "kernel_id": "123073"}, {"ref": "irashadow/notebook6fed3b6e58", "kernel_id": "113229"}, {"ref": "irashadow/notebook81ab816ccf", "kernel_id": "123507"}, {"ref": "jpgomes/notebook1c1279fb70", "kernel_id": "111968"}, {"ref": "tobikaggle/santander-sklearn-ensemble", "kernel_id": "110537"}, {"ref": "tobikaggle/sklearn-multiclass-adaboost", "kernel_id": "111929"}, {"ref": "tobikaggle/srk-s-simple-btb-r-version", "kernel_id": "113220"}, {"ref": "frantap/detailed-cleaning-visualization-python", "kernel_id": "124340"}, {"ref": "frantap/notebook5c1974ce00", "kernel_id": "124824"}, {"ref": "sircausticmail/mod-collaborative-filtering-by-anokas-0-0236446", "kernel_id": "120665"}, {"ref": "smartbao/srk-reforu-test", "kernel_id": "128990"}, {"ref": "smartbao/item-recomm2", "kernel_id": "117753"}, {"ref": "smartbao/sub-kerasv2test", "kernel_id": "119832"}, {"ref": "aconsapart/notebook2c2ac86e1f", "kernel_id": "127844"}, {"ref": "sarawagi/notebookd42a417669", "kernel_id": "219817"}, {"ref": "ovlaere/notebook656a3288f0", "kernel_id": "124950"}, {"ref": "jmartinezot/detailed-cleaning-visualization", "kernel_id": "116224"}, {"ref": "jerinfrancis/santander-battle", "kernel_id": "113319"}, {"ref": "shashanksingh/notebook2fe930d13e", "kernel_id": "113379"}, {"ref": "shashanksingh/notebook919022b07f", "kernel_id": "116489"}, {"ref": "shashanksingh/notebook395d6b4155", "kernel_id": "128315"}, {"ref": "ssedhain/detailed-cleaning-visualization-python", "kernel_id": "137433"}, {"ref": "keerthy/detailed-cleaning-visualization-python", "kernel_id": "113993"}, {"ref": "titericz/when-less-is-more-extended-giba", "kernel_id": "137901"}, {"ref": "titericz/when-less-is-more-extended-giba-2", "kernel_id": "137907"}, {"ref": "titericz/when-less-is-more-extended-giba3", "kernel_id": "138584"}, {"ref": "titericz/zft-1711", "kernel_id": "118812"}, {"ref": "titericz/xft-1411", "kernel_id": "118230"}, {"ref": "titericz/massssssssss-hashes", "kernel_id": "119893"}, {"ref": "titericz/mass-hashesasdadd", "kernel_id": "119465"}, {"ref": "titericz/zf-script-of-everyone-1", "kernel_id": "119347"}, {"ref": "valadi/santander-battle-jayafork", "kernel_id": "112018"}, {"ref": "valadi/santander-battle-jaya", "kernel_id": "111374"}, {"ref": "valadi/santander-battle-jaya-mod", "kernel_id": "110829"}, {"ref": "valadi/khus-phus-khus-phusjaya", "kernel_id": "135929"}, {"ref": "phcostello/notebookdf8efefe49", "kernel_id": "112091"}, {"ref": "adenutzzza/notebookac35aaf559", "kernel_id": "134466"}, {"ref": "adenutzzza/comprehensive-exploration-and-visualization-1", "kernel_id": "135145"}, {"ref": "alceufc/notebook402392a4f8", "kernel_id": "112604"}, {"ref": "alceufc/notebook8c3f923e47", "kernel_id": "112588"}, {"ref": "jameelanalyst/50-less-memory-usage", "kernel_id": "115266"}, {"ref": "jameelanalyst/detailed-cleaning-visualization-python", "kernel_id": "115307"}, {"ref": "jameelanalyst/a-products-focused-exploratory-analysis", "kernel_id": "115420"}, {"ref": "jameelanalyst/a-products-focused-exploratory-analysis-81616ab2", "kernel_id": "115871"}, {"ref": "mikraig/santander", "kernel_id": "113401"}, {"ref": "mikraig/notebook25bfba4b0b", "kernel_id": "113416"}, {"ref": "mortehu/notebookdd6b1bd258", "kernel_id": "110851"}, {"ref": "ranlocar/notebook4320c3891d", "kernel_id": "113608"}, {"ref": "ranlocar/btb-lb-0-022145-most-popular-excl-owned", "kernel_id": "113527"}, {"ref": "masunnabhanhomsi/comprehensive-exploration-and-visualization-1", "kernel_id": "129944"}, {"ref": "qthurier/notebookb73aa6a332", "kernel_id": "111029"}, {"ref": "sudalairajkumar/simple-btb-v2-0-no-improvment", "kernel_id": "110315"}, {"ref": "sudalairajkumar/simple-btb", "kernel_id": "110175"}, {"ref": "sudalairajkumar/simple-exploration-notebook-v3-0", "kernel_id": "110192"}, {"ref": "sudalairajkumar/rf-multilabel-framework-lb-0-022475", "kernel_id": "112855"}, {"ref": "sudalairajkumar/just-another-visualisation", "kernel_id": "114482"}, {"ref": "sudalairajkumar/keras-starter-script", "kernel_id": "115714"}, {"ref": "sudalairajkumar/maximum-possible-score", "kernel_id": "116649"}, {"ref": "sudalairajkumar/ensembling-code-python", "kernel_id": "123188"}, {"ref": "sudalairajkumar/when-less-is-more", "kernel_id": "120137"}, {"ref": "chandrad/run-while-i-m-reading", "kernel_id": "139277"}, {"ref": "jmbeck/notebook3f6b8f67fd", "kernel_id": "116263"}, {"ref": "jmbeck/notebook68d05798e4", "kernel_id": "113863"}, {"ref": "georgem/notebookf7c22002a3", "kernel_id": "139863"}, {"ref": "salilnavgire/23432432sdd", "kernel_id": "113055"}, {"ref": "shindannin/version-test", "kernel_id": "138740"}, {"ref": "shindannin/notebook7d384354d5", "kernel_id": "135364"}, {"ref": "agrawalvikas/collaborative-filtering-btb-lb-0-01691", "kernel_id": "110319"}, {"ref": "dchaimow/simple-btb-v2-0-no-improvment", "kernel_id": "135199"}, {"ref": "siddharthvashishth/comprehensive-exploration-and-visualization-1", "kernel_id": "138476"}, {"ref": "qdpercy/first", "kernel_id": "116572"}, {"ref": "santiagomota/know-your-data-part-4-products-sequence", "kernel_id": "119208"}, {"ref": "santiagomota/when-less-is-more-23", "kernel_id": "122647"}, {"ref": "comendeiro/detailed-cleaning-visualization-python", "kernel_id": "119172"}, {"ref": "chshaoyi/detailed-cleaning-visualization-python", "kernel_id": "124256"}, {"ref": "plotkin/notebookd487adf533", "kernel_id": "174583"}, {"ref": "tehonda/notebookf0969c4c3a", "kernel_id": "116672"}, {"ref": "kunlong0909/comprehensive-exploration-and-visualization-1", "kernel_id": "135694"}, {"ref": "kunlong0909/detailed-cleaning-visualization-python", "kernel_id": "135697"}, {"ref": "lrmeulman/who-bought-what-and-when", "kernel_id": "130311"}, {"ref": "sundong/notebook91f5c7f534", "kernel_id": "120394"}, {"ref": "akilaw/zft-0411", "kernel_id": "114425"}, {"ref": "akilaw/santander-battle-5", "kernel_id": "112554"}, {"ref": "akilaw/when-less-is-more", "kernel_id": "120245"}, {"ref": "akilaw/xft-1411", "kernel_id": "117524"}, {"ref": "akilaw/quere", "kernel_id": "141053"}, {"ref": "kasthuribh/detailed-cleaning-visualization-python", "kernel_id": "112369"}, {"ref": "aamaia/mass-hashes", "kernel_id": "119622"}, {"ref": "aamaia/frequent-itemsets-wip", "kernel_id": "125965"}, {"ref": "aamaia/notebook072294e276", "kernel_id": "126022"}, {"ref": "seabass/detailed-cleaning-visualization-python", "kernel_id": "121919"}, {"ref": "sumitl/detailed-cleaning-visualization-python", "kernel_id": "115607"}, {"ref": "pedram/quere", "kernel_id": "140990"}, {"ref": "atulrajdhar/detailed-cleaning-visualization-python", "kernel_id": "114820"}, {"ref": "syedaliabbas/notebook5a18113316", "kernel_id": "135579"}, {"ref": "meantnail/simple-exploration-notebook-v2-0", "kernel_id": "113537"}, {"ref": "henshinger/reduce-size-of-dataset-to-1-gb", "kernel_id": "133370"}, {"ref": "tarunagarwal/detailed-cleaning-visualization-python", "kernel_id": "114989"}, {"ref": "mskiba/detailed-cleaning-visualization-python", "kernel_id": "116997"}, {"ref": "michelleon/simple-exploration-notebook-v3-0", "kernel_id": "140852"}, {"ref": "atonio/notebookb814752836", "kernel_id": "118279"}, {"ref": "atonio/product-popularity-by-segment", "kernel_id": "110855"}, {"ref": "harishbchalam204/notebooka28f5e292f", "kernel_id": "117591"}, {"ref": "mitujadhav/data-cleaning", "kernel_id": "111143"}, {"ref": "j0shua/notebook549640e3e3", "kernel_id": "114666"}, {"ref": "sbairishal/ens2710", "kernel_id": "110426"}, {"ref": "rohian/notebook628f091778", "kernel_id": "113150"}, {"ref": "thoover/detailed-cleaning-visualization-python", "kernel_id": "113679"}, {"ref": "aal13n/notebook2683abf964", "kernel_id": "122943"}, {"ref": "jeffvaldez/notebook1c6064a0cf", "kernel_id": "139350"}, {"ref": "minhduc191/non-negative-matrix-factorization", "kernel_id": "116253"}, {"ref": "peliason/notebook4d19b1b03c", "kernel_id": "158879"}, {"ref": "sshleifer/notebook821d7574f5", "kernel_id": "111561"}, {"ref": "sshleifer/notebook16c54f6b82", "kernel_id": "111564"}, {"ref": "longhowlam/santander-mba", "kernel_id": "111338"}, {"ref": "samarthagarwal23/svd-script", "kernel_id": "116934"}, {"ref": "palmtree/detailed-cleaning-visualization-python", "kernel_id": "141896"}, {"ref": "kgt0228/when-less-is-more", "kernel_id": "138300"}, {"ref": "asmund/notebook9554a824ec", "kernel_id": "126872"}, {"ref": "owencorrigan/examine-data", "kernel_id": "112319"}, {"ref": "jwegas/just-simple-data-exploration", "kernel_id": "111585"}, {"ref": "aironashish/detailed-cleaning-visualization-python", "kernel_id": "112399"}, {"ref": "yifanxie/comprehensive-exploration-and-visualization-1", "kernel_id": "123865"}, {"ref": "yifanxie/santander-products-visualisation", "kernel_id": "118992"}, {"ref": "lsoler/demopython", "kernel_id": "115028"}, {"ref": "lsoler/detailed-cleaning-visualization-python", "kernel_id": "115029"}, {"ref": "outliar/mass-hashesc", "kernel_id": "118981"}, {"ref": "outliar/xxxxxx", "kernel_id": "122248"}, {"ref": "mukulvirmani/mass-hashes", "kernel_id": "118635"}, {"ref": "mukulvirmani/comprehensive-exploration-and-visualization-1", "kernel_id": "134586"}, {"ref": "randomcanary/notebook17bbde0386", "kernel_id": "119849"}, {"ref": "kirilllisenkov/detailed-cleaning-visualization-python", "kernel_id": "136086"}, {"ref": "franciscolopezsancho/detailed-cleaning-visualization-python", "kernel_id": "136014"}, {"ref": "bigdatafan/when-less-is-more-270", "kernel_id": "121028"}, {"ref": "sushize/maximum-possible-score", "kernel_id": "118302"}, {"ref": "sushize/when-less-is-more-btb-0-0270591", "kernel_id": "122369"}, {"ref": "twelveminutes/detailed-cleaning-visualization-python", "kernel_id": "114267"}, {"ref": "sawyerc/detailed-cleaning-visualization-python", "kernel_id": "173014"}, {"ref": "r0hitgupta/detailed-cleaning-visualization-python", "kernel_id": "116297"}, {"ref": "operdeck/notebook0795e33b93", "kernel_id": "135634"}, {"ref": "operdeck/predictions-without-models", "kernel_id": "135638"}, {"ref": "soliton647/detailed-cleaning-visualization-python", "kernel_id": "121795"}, {"ref": "pinkencryption/notebookb720d9280a", "kernel_id": "112352"}, {"ref": "aikinogard/simple-exploration-notebook-v3-0", "kernel_id": "134428"}, {"ref": "madraziw/test-1", "kernel_id": "115159"}, {"ref": "madraziw/test-2", "kernel_id": "115160"}, {"ref": "madraziw/notebooke84ed2902b", "kernel_id": "115941"}, {"ref": "madraziw/notebookd836fada41", "kernel_id": "115930"}, {"ref": "madraziw/notebook91978fd583", "kernel_id": "115513"}, {"ref": "madraziw/notebook8641f07b23", "kernel_id": "118620"}, {"ref": "saurabhbhatt/notebookc19da957e9", "kernel_id": "111410"}, {"ref": "fillll/simple-exploration-notebook-v2-0", "kernel_id": "112244"}, {"ref": "pappukrjha/playground", "kernel_id": "128757"}, {"ref": "jianminsun/simple-exploration-notebook", "kernel_id": "110462"}, {"ref": "insightsfromdata/notebook1662262f92", "kernel_id": "110483"}, {"ref": "omalleyt/testing-my-r", "kernel_id": "113029"}, {"ref": "andreisun/when-less-is-more-23", "kernel_id": "122714"}, {"ref": "francbracun/automated-exploratory-data-analysis-notebook", "kernel_id": "111045"}, {"ref": "amitchoudhary/santander-battle", "kernel_id": "110697"}, {"ref": "amitchoudhary/santander-v4", "kernel_id": "113252"}, {"ref": "amitchoudhary/script-v8", "kernel_id": "123682"}, {"ref": "amitchoudhary/santander-v5", "kernel_id": "117672"}, {"ref": "amitchoudhary/script-v6-1", "kernel_id": "120582"}, {"ref": "lspinheiro2/detailed-cleaning-visualization-python", "kernel_id": "114375"}, {"ref": "hamelg/khus-phus-khus-phusjaya", "kernel_id": "135961"}, {"ref": "anamala/notebook60afd46922", "kernel_id": "129047"}, {"ref": "fionaimage/notebook3a7e5fec6d", "kernel_id": "115084"}, {"ref": "fionaimage/detailed-cleaning-visualization-test", "kernel_id": "115265"}, {"ref": "frederickayala/cleaning-the-dataset", "kernel_id": "110348"}, {"ref": "xiaozhouwang/collaborative-filtering-btb-lb-0-01691", "kernel_id": "110389"}, {"ref": "xiaozhouwang/santander-sklearn-ensemble", "kernel_id": "110645"}, {"ref": "vishwanathanraman/notebook94e62e0f1f", "kernel_id": "112378"}, {"ref": "vishwanathanraman/notebookde4b692d83", "kernel_id": "112376"}, {"ref": "vishwanathanraman/santander-script-0-0185846", "kernel_id": "113595"}, {"ref": "cavaunpeu/a-products-focused-exploratory-analysis", "kernel_id": "111433"}, {"ref": "taherlal/notebook58366eaccb", "kernel_id": "112874"}, {"ref": "sivajid/notebookb4c449371b", "kernel_id": "120180"}, {"ref": "firhatnawfanhilmanda/notebookd39019c982", "kernel_id": "120865"}, {"ref": "firhatnawfanhilmanda/santander-analysis", "kernel_id": "120860"}, {"ref": "firhatnawfanhilmanda/santander-submission", "kernel_id": "123369"}, {"ref": "firhatnawfanhilmanda/notebook0c3797d6fe", "kernel_id": "136024"}, {"ref": "firhatnawfanhilmanda/notebookee08c7cc22", "kernel_id": "135662"}, {"ref": "firhatnawfanhilmanda/when-less-is-more", "kernel_id": "134953"}, {"ref": "firhatnawfanhilmanda/notebook347923b1f0", "kernel_id": "142031"}, {"ref": "dasd23/dipak", "kernel_id": "110995"}, {"ref": "ankitsingh/notebook08a815e7ce", "kernel_id": "137021"}, {"ref": "bruno16/imputing-missing-data-on-santander-product", "kernel_id": "124479"}, {"ref": "opanichev/detailed-cleaning-visualization-python", "kernel_id": "140458"}, {"ref": "diegoee/notebookd0f8cf6462", "kernel_id": "111102"}, {"ref": "qwyang/test-1", "kernel_id": "120072"}, {"ref": "poiss0nriot/go-for-less2", "kernel_id": "133587"}, {"ref": "samrotashoka/notebook725394da1a", "kernel_id": "141651"}, {"ref": "samrotashoka/khus-phus-khus-phus", "kernel_id": "141652"}, {"ref": "samrotashoka/from-vishalakha", "kernel_id": "141653"}, {"ref": "samrotashoka/simple-exploration-notebook-v3-0", "kernel_id": "141680"}, {"ref": "samrotashoka/know-your-data", "kernel_id": "142714"}, {"ref": "abpredict/print-ansup", "kernel_id": "110365"}, {"ref": "dhavalmodi24/newtitle", "kernel_id": "135817"}, {"ref": "dhavalmodi24/newtitle2", "kernel_id": "135820"}, {"ref": "roiispol/reduce-size-of-dataset-to-1-gb", "kernel_id": "138265"}, {"ref": "pierobo/notebook4e476bca63", "kernel_id": "251256"}, {"ref": "pierobo/santander-practice", "kernel_id": "251262"}, {"ref": "eigenai/ensemble-linear", "kernel_id": "114569"}, {"ref": "eigenai/notebook862a0c4473", "kernel_id": "114531"}, {"ref": "bodowd/notebook67d09c658f", "kernel_id": "111201"}, {"ref": "bodowd/santander-recommendation-notebook", "kernel_id": "111204"}, {"ref": "mryogurt/detailed-cleaning-visualization-python-aa98fea3", "kernel_id": "134683"}, {"ref": "mryogurt/detailed-cleaning-visualization-python", "kernel_id": "134080"}, {"ref": "user123/notebook0a0bb3a6bb", "kernel_id": "110764"}, {"ref": "psahoo/notebook309b9201b9", "kernel_id": "132818"}, {"ref": "bhaumik/test12", "kernel_id": "116436"}, {"ref": "apratim87/detailed-cleaning-visualization", "kernel_id": "111314"}, {"ref": "reinholdsson/notebook8b1507078e", "kernel_id": "113854"}, {"ref": "brianbai/category-variables-plot", "kernel_id": "110336"}, {"ref": "peterabdou/detailed-cleaning-visualization-python", "kernel_id": "114304"}, {"ref": "nickrobinson/notebook51edab4d53", "kernel_id": "118845"}, {"ref": "libaier/notebook68fc5b45c2", "kernel_id": "224406"}, {"ref": "libaier/notebook4ef796d7c5", "kernel_id": "238043"}, {"ref": "sasimsb/santander-v-0", "kernel_id": "110219"}, {"ref": "infinitemonkeybelief/reduce-size-of-dataset-to-1-gb", "kernel_id": "116872"}, {"ref": "kumarsonuuu/notebook607dda4192", "kernel_id": "118233"}, {"ref": "michalsz/detailed-cleaning-visualization-python", "kernel_id": "115680"}, {"ref": "pbkaran/when-less-is-more-with-less-parameters", "kernel_id": "141163"}, {"ref": "kmdasari/notebooka3f592fe5f", "kernel_id": "120939"}, {"ref": "dpansan/notebook79ae894311", "kernel_id": "110676"}, {"ref": "thiagomatos/detailed-cleaning-visualization-python", "kernel_id": "181544"}, {"ref": "vivekuday26/lltest-script", "kernel_id": "126881"}, {"ref": "gospursgo/when-less-is-more-1", "kernel_id": "121097"}, {"ref": "alex64/detailed-cleaning-visualization-python-65c9b836", "kernel_id": "141950"}, {"ref": "alex64/detailed-cleaning-visualization-python", "kernel_id": "130557"}, {"ref": "renjithmadhavan/notebook1b7217e2cb", "kernel_id": "120447"}, {"ref": "renjithmadhavan/notebook0941c6d8a5", "kernel_id": "121439"}, {"ref": "renjithmadhavan/know-your-data", "kernel_id": "121422"}, {"ref": "renjithmadhavan/detailed-cleaning-visualization-python", "kernel_id": "134694"}, {"ref": "annielo/detailed-cleaning-visualization", "kernel_id": "217188"}, {"ref": "maksimvatkin/notebook2b249d177a", "kernel_id": "280660"}, {"ref": "reshsekar15/notebookcb811cb876", "kernel_id": "111348"}, {"ref": "tezdhar/simple-exploration", "kernel_id": "122589"}, {"ref": "tezdhar/notebook261eac0918", "kernel_id": "119855"}, {"ref": "tezdhar/notebook-sant1", "kernel_id": "119841"}, {"ref": "tezdhar/sanatnder-data-exploraion", "kernel_id": "120673"}, {"ref": "tezdhar/simple-exploration-notebook-v3-0", "kernel_id": "127648"}, {"ref": "tezdhar/when-less-is-more-extended", "kernel_id": "128440"}, {"ref": "tezdhar/notebookb7c3b485dc", "kernel_id": "136927"}, {"ref": "tezdhar/noob-script-1", "kernel_id": "113927"}, {"ref": "tezdhar/notebook86bfac59af", "kernel_id": "138006"}, {"ref": "tezdhar/reduce-size-of-dataset-to-1-gb", "kernel_id": "138816"}, {"ref": "tezdhar/reduce-size-of-dataset-to-1-gb-10f6929a", "kernel_id": "138817"}, {"ref": "tezdhar/comprehensive-exploration-and-visualization-1", "kernel_id": "138130"}, {"ref": "tezdhar/reduce-size-of-dataset-to-1-gb-7133f494", "kernel_id": "138859"}, {"ref": "hagarwal456/comprehensive-exploration-and-visualization-1", "kernel_id": "128941"}, {"ref": "ironbar/notebook4ef6dd7f5b", "kernel_id": "123597"}, {"ref": "ironbar/notebook82f29bd077", "kernel_id": "123599"}, {"ref": "ironbar/notebookdff70d517a", "kernel_id": "123846"}, {"ref": "ironbar/notebook323681cb61", "kernel_id": "123847"}, {"ref": "ironbar/notebook92523b77a4", "kernel_id": "123852"}, {"ref": "jorgevalhondo/notebook2da05eaf9a", "kernel_id": "114544"}, {"ref": "ryutek/quere", "kernel_id": "140856"}, {"ref": "arseni/detailed-cleaning-visualization-python", "kernel_id": "115249"}, {"ref": "shaghaghi/detailed-cleaning-visualization-python", "kernel_id": "125308"}, {"ref": "jyangdaily/notebookfe1eed0c6f", "kernel_id": "137344"}, {"ref": "santanuds/when-less-is-more-extended", "kernel_id": "140677"}, {"ref": "pradeepj/detailed-cleaning-visualization-python", "kernel_id": "157181"}, {"ref": "justfor/testscript", "kernel_id": "138620"}, {"ref": "mateuszd/notebook059b55540f", "kernel_id": "132414"}, {"ref": "shubhamagrawal/santander", "kernel_id": "139338"}, {"ref": "artimous/go-for-more", "kernel_id": "123391"}, {"ref": "superjohn/simple-exploration-notebook", "kernel_id": "111234"}, {"ref": "maheshc/tests", "kernel_id": "133515"}, {"ref": "nehagupta24/notebook04f6fcabfd", "kernel_id": "137440"}, {"ref": "milian/notebookc5df03f77b", "kernel_id": "120907"}, {"ref": "marcm89/simple-exploration-notebook-v2-0", "kernel_id": "118187"}, {"ref": "seanwang/maximum-possible-score", "kernel_id": "133446"}, {"ref": "veereshgb/detailed-cleaning-visualization-python", "kernel_id": "115030"}, {"ref": "satadru5/sk2016", "kernel_id": "110850"}, {"ref": "satadru5/sk-20161001", "kernel_id": "111512"}, {"ref": "satadru5/notebook6f4a217109", "kernel_id": "112454"}, {"ref": "satadru5/sk-2016", "kernel_id": "112436"}, {"ref": "aesnau/zft-0411", "kernel_id": "116051"}, {"ref": "aesnau/xft-1411", "kernel_id": "117191"}, {"ref": "aesnau/detailed-cleaning-visualization-python", "kernel_id": "117332"}, {"ref": "aesnau/a1411", "kernel_id": "117913"}, {"ref": "aesnau/when-less-is-more-23", "kernel_id": "122263"}, {"ref": "aesnau/simple-exploration-notebook-v3-0", "kernel_id": "123872"}, {"ref": "aesnau/simple-exploration-notebook-v3-0-171f9546", "kernel_id": "123895"}, {"ref": "aesnau/go-for-less", "kernel_id": "123549"}, {"ref": "aesnau/feature-importance-v1", "kernel_id": "130955"}, {"ref": "scollins/notebook33de54d846", "kernel_id": "110581"}, {"ref": "satyav/detailed-cleaning-visualization-python", "kernel_id": "133111"}, {"ref": "tqinieor/detailed-cleaning-visualization-python", "kernel_id": "117532"}, {"ref": "amitsood/comprehensive-exploration-and-visualization-1", "kernel_id": "129340"}, {"ref": "lamdang/notebookead5bdb2d2", "kernel_id": "119911"}, {"ref": "yuvraj/reduce-size-of-dataset-to-1-gb", "kernel_id": "128307"}, {"ref": "yuvraj/notebook85b06134e4", "kernel_id": "138275"}, {"ref": "phil3k/notebook23f8a015bc", "kernel_id": "122198"}, {"ref": "icecream4/notebook2d7fa6db91", "kernel_id": "141677"}, {"ref": "xexx12345/detailed-cleaning-visualization-python", "kernel_id": "118989"}, {"ref": "datascientist1/detailed-cleaning-visualization-python", "kernel_id": "132421"}, {"ref": "miguelwon/reduce-size-of-dataset-to-1-gb", "kernel_id": "119487"}, {"ref": "toover/notebook9f17f38bc0", "kernel_id": "120887"}, {"ref": "toover/notebook78f318c328", "kernel_id": "141326"}, {"ref": "linden8/notebook362c51bf12", "kernel_id": "132823"}, {"ref": "linden8/preparedata", "kernel_id": "132810"}, {"ref": "faustus/detailed-cleaning-visualization-python", "kernel_id": "113806"}, {"ref": "faustus/notebook0edf3f8792", "kernel_id": "110146"}, {"ref": "dashwieland/notebook9b4e47619b", "kernel_id": "124372"}, {"ref": "paurabassa/abcde", "kernel_id": "131950"}, {"ref": "bodhbhdearg/xgboost", "kernel_id": "244608"}, {"ref": "mromann/when-less-is-more-extended-giba-2", "kernel_id": "138124"}, {"ref": "sialan/notebook5dd7690e28", "kernel_id": "122243"}, {"ref": "jturkewitz/reduce-size-of-dataset-to-1-gb", "kernel_id": "116704"}, {"ref": "kaustubhn/notebook9e3f7e094f", "kernel_id": "114390"}, {"ref": "lbn19920902/simple-exploration-notebook-v2-0", "kernel_id": "122471"}, {"ref": "thechipmunk/notebook91c9df0aef", "kernel_id": "122939"}, {"ref": "agbmurphy/notebookad65a2c373", "kernel_id": "116424"}, {"ref": "boguslaw/notebook6bd244e13e", "kernel_id": "129487"}, {"ref": "venskut/notebook3b53e3c6e8", "kernel_id": "111768"}, {"ref": "alextrickey/exploring", "kernel_id": "132623"}, {"ref": "richconboy/notebookd90ce0466e", "kernel_id": "124625"}, {"ref": "hasewan/detailed-cleaning-visualization-python", "kernel_id": "126264"}, {"ref": "segovia/reduce-size-of-dataset-to-1-gb", "kernel_id": "120361"}, {"ref": "rafahmen/detailed-cleaning-visualization-python", "kernel_id": "133572"}, {"ref": "roricciardi/rosane", "kernel_id": "133065"}, {"ref": "roricciardi/notebook3a3dd801d5", "kernel_id": "111863"}, {"ref": "vishvicky/notebooka77298bf88", "kernel_id": "138815"}, {"ref": "vishvicky/comprehensive-exploration-and-visualization-1", "kernel_id": "140128"}, {"ref": "saranyas/notebookc6a59cf825", "kernel_id": "133418"}, {"ref": "buggycode/comprehensive-exploration-and-visualization-1", "kernel_id": "122773"}, {"ref": "achtungbaby/maximum-possible-score", "kernel_id": "124231"}, {"ref": "ticktuck/testtest", "kernel_id": "112875"}, {"ref": "goldenstate/santander2-dh", "kernel_id": "134764"}, {"ref": "rsalaschile/mass-hashesasdadd", "kernel_id": "119407"}, {"ref": "rsalaschile/mass-hashes", "kernel_id": "119397"}, {"ref": "rsalaschile/when-less-is-more-268", "kernel_id": "120785"}, {"ref": "rsalaschile/when-less-is-more-asdsd268", "kernel_id": "120841"}, {"ref": "rsalaschile/santander-battle", "kernel_id": "110760"}, {"ref": "tlw2011/notebook2b6f36d45a", "kernel_id": "175018"}, {"ref": "rahuld/notebooka44e8fb5a2", "kernel_id": "121319"}, {"ref": "rahuld/data-processing", "kernel_id": "121301"}, {"ref": "feliper2/santandertests", "kernel_id": "115195"}, {"ref": "zhanglin/notebook7920ecb4bb", "kernel_id": "112325"}, {"ref": "chechir/detailed-cleaning-visualization-python", "kernel_id": "114862"}, {"ref": "rishabhsoni/notebookc1c1c604b7", "kernel_id": "130231"}, {"ref": "rishabhsoni/imputing-missing-data-on-santander-product", "kernel_id": "123614"}, {"ref": "kweilin123/sample-submission", "kernel_id": "120409"}, {"ref": "antediemterzium/notebook51559eef4b", "kernel_id": "125270"}, {"ref": "ozalma/notebook87fb6a5e2a", "kernel_id": "122523"}, {"ref": "akhmetov/detailed-cleaning-visualization-python", "kernel_id": "116737"}, {"ref": "akhmetov/reduce-size-of-dataset-to-1-gb", "kernel_id": "116768"}, {"ref": "nimashahbazi/when-less-is-more", "kernel_id": "122633"}, {"ref": "anguszhang/simple-btb", "kernel_id": "115334"}, {"ref": "anguszhang/detailed-cleaning-visualization-python", "kernel_id": "116918"}, {"ref": "anguszhang/notebookf07ee0b825", "kernel_id": "114941"}, {"ref": "johndorian/notebooka647902e13", "kernel_id": "110494"}, {"ref": "codygreco/notebooke7abff39d5", "kernel_id": "121841"}, {"ref": "abhilashawasthi/santander-battle", "kernel_id": "110830"}, {"ref": "martinmanga/notebook312262d96f", "kernel_id": "114060"}, {"ref": "martinmanga/detailed-cleaning-visualization", "kernel_id": "114048"}, {"ref": "eemonn/notebook16dec592b7", "kernel_id": "110782"}, {"ref": "zhiyue/detailed-cleaning-visualization", "kernel_id": "115131"}, {"ref": "vinodmang/notebook3e21a4e71a", "kernel_id": "139402"}, {"ref": "vinodmang/notebook57da2f7044", "kernel_id": "139409"}, {"ref": "andy12290/detailed-cleaning-visualization-python", "kernel_id": "120427"}, {"ref": "linzhu/notebook422264062c", "kernel_id": "162978"}, {"ref": "sionek/go-for-less2-y", "kernel_id": "134932"}, {"ref": "lechacal/notebook24ab43b50c", "kernel_id": "110960"}, {"ref": "yoyocm/santander-find-customers-similarities", "kernel_id": "110710"}, {"ref": "icozma/test-notebook", "kernel_id": "132488"}, {"ref": "satuspark/detailed-cleaning-visualization-python", "kernel_id": "129425"}, {"ref": "agemoo/santander", "kernel_id": "126653"}, {"ref": "wolhow123/santander-battle", "kernel_id": "110742"}, {"ref": "thedub/notebookc7bb83d63c", "kernel_id": "116260"}, {"ref": "meisin/notebookd45ff059ff", "kernel_id": "110937"}, {"ref": "meisin/notebook11884aa019", "kernel_id": "110949"}, {"ref": "eduinhserna/notebook20a6ca789a", "kernel_id": "110579"}, {"ref": "jitesh2015/notebook56d24695f0", "kernel_id": "133532"}, {"ref": "xanderhorn/automated-exploratory-data-analysis-notebook", "kernel_id": "110657"}, {"ref": "srimalj/notebook94fb99446d", "kernel_id": "110648"}, {"ref": "cteant/notebook87a37857f8", "kernel_id": "112504"}, {"ref": "cteant/gbclassifier", "kernel_id": "113251"}, {"ref": "cteant/notebook6d1f81e1d9", "kernel_id": "112800"}, {"ref": "shj997/notebook75100f0f15", "kernel_id": "112131"}, {"ref": "shj997/testt", "kernel_id": "112257"}, {"ref": "vinotharun89/detailed-cleaning-visualization-python", "kernel_id": "125321"}, {"ref": "vinotharun89/cleaning-data", "kernel_id": "130439"}, {"ref": "rhoslug/testrun", "kernel_id": "110473"}, {"ref": "seandmcclure/notebook4b5c9a7909", "kernel_id": "116468"}, {"ref": "rafalpronko/first-script", "kernel_id": "142387"}, {"ref": "alabsinatheer/notebook098a76e30e", "kernel_id": "113208"}, {"ref": "alabsinatheer/comprehensive-exploration-and-visualization-1-1", "kernel_id": "122491"}, {"ref": "alabsinatheer/notebook92391fe837", "kernel_id": "123584"}, {"ref": "alabsinatheer/notebook1995ce7798", "kernel_id": "118570"}, {"ref": "nels2248/santander-quick-first-view", "kernel_id": "116455"}, {"ref": "nels2248/detailed-cleaning-visualization2", "kernel_id": "115814"}, {"ref": "jameshirschorn/collaborative-filtering-btb-lb-0-01691", "kernel_id": "120244"}, {"ref": "malani/notebook124e8808ee", "kernel_id": "123873"}, {"ref": "malani/notebooka3e113e9d2", "kernel_id": "123869"}, {"ref": "malani/notebooke50b2055ef", "kernel_id": "123870"}, {"ref": "nikolako/notebook7822de124d", "kernel_id": "111895"}, {"ref": "vishallakha/khus-phus-khus-phus", "kernel_id": "135592"}, {"ref": "modeller/hhhhhhh", "kernel_id": "114219"}, {"ref": "mikell/go-for-more", "kernel_id": "124881"}, {"ref": "karjung/know-your-data", "kernel_id": "118966"}, {"ref": "ksriramut/detailed-cleaning-visualization-python", "kernel_id": "120779"}, {"ref": "ashakeel/detailed-cleaning-visualization-python", "kernel_id": "116463"}, {"ref": "ashakeel/notebookf366c76d14", "kernel_id": "112363"}, {"ref": "dhc123/test-srk", "kernel_id": "134743"}, {"ref": "dhc123/notebook5316fe0664", "kernel_id": "134735"}, {"ref": "dhc321/just-for-a-fun", "kernel_id": "135943"}, {"ref": "dhc321/funfufun", "kernel_id": "135952"}, {"ref": "dhc321/test-code", "kernel_id": "135957"}, {"ref": "yoyomanyoyo/notebook9eacccc53d", "kernel_id": "135838"}, {"ref": "agavranis/reduce-size-of-dataset-to-1-gb", "kernel_id": "132247"}, {"ref": "agavranis/mass-hashes-panos", "kernel_id": "113116"}, {"ref": "passionofml/notebook69d10b52c3", "kernel_id": "115122"}, {"ref": "tohnosakuya/detailed-cleaning-visualization-python", "kernel_id": "122046"}, {"ref": "adegie/uhm-products", "kernel_id": "113613"}, {"ref": "xwatts/detailed-cleaning-visualization-python-30b9b3c0", "kernel_id": "136390"}, {"ref": "xwatts/detailed-cleaning-visualization-python-9341b3b6", "kernel_id": "136402"}, {"ref": "xwatts/detailed-cleaning-visualization-python", "kernel_id": "130625"}, {"ref": "ahm92ed/predict-by-popularity-visuals", "kernel_id": "122687"}, {"ref": "ms3993/notebook7a94df3894", "kernel_id": "112910"}, {"ref": "david84/xft-1411", "kernel_id": "118363"}, {"ref": "juanlopez/santander-challenge", "kernel_id": "121490"}, {"ref": "phansoks/notebookfea117c2ae", "kernel_id": "121801"}, {"ref": "mayukh18/basic-svd-test", "kernel_id": "119725"}, {"ref": "mayukh18/nothing", "kernel_id": "125762"}, {"ref": "mayukh18/exploration", "kernel_id": "114395"}, {"ref": "mayukh18/a-new-combo-try", "kernel_id": "114089"}, {"ref": "mayukh18/notebook4b366a7883", "kernel_id": "110893"}, {"ref": "mayukh18/basic-svd-using-6-data-lb-0-01961", "kernel_id": "111042"}, {"ref": "mayukh18/the-script-title", "kernel_id": "112660"}, {"ref": "brassmonkey381/predict-by-popularity-visuals", "kernel_id": "110925"}, {"ref": "lucasosouza/detailed-cleaning-visualization-python", "kernel_id": "114556"}, {"ref": "ernestycli/notebook75a21095c1", "kernel_id": "119326"}, {"ref": "xiaodongjiang/detailed-cleaning-visualization-python", "kernel_id": "122951"}, {"ref": "ashwinnimhan/temp-script", "kernel_id": "126120"}, {"ref": "livenb/notebook8a09feeed2", "kernel_id": "140202"}, {"ref": "varshavt/reduce-size-of-dataset-to-1-gb-ff347f19", "kernel_id": "118869"}, {"ref": "kqdmqx/test-notebook", "kernel_id": "138882"}, {"ref": "wnikhil/notebookcbdbc4a92a", "kernel_id": "159658"}, {"ref": "wnikhil/notebook6e7bd4e0de", "kernel_id": "159501"}, {"ref": "wnikhil/santander-test-r", "kernel_id": "159531"}, {"ref": "lifepreserver/randomjunk001-3", "kernel_id": "136961"}, {"ref": "inigo0178/detailed-cleaning-visualization-python", "kernel_id": "114640"}, {"ref": "semisummer/simple-exploration-notebook-v2-0", "kernel_id": "114044"}, {"ref": "trivid/notebookfbe78b945e", "kernel_id": "112671"}, {"ref": "herrgagen/detailed-cleaning-visualization-python", "kernel_id": "115692"}, {"ref": "bitterisland07/detailed-cleaning-visualization-python", "kernel_id": "123988"}, {"ref": "kdarnell/simple-exploration-notebook", "kernel_id": "111236"}, {"ref": "coloratto/detailed-cleaning-visualization-python", "kernel_id": "113413"}, {"ref": "millerintllc/gdgdfgd", "kernel_id": "111495"}, {"ref": "soerendip/50-less-memory-usage", "kernel_id": "116211"}, {"ref": "gauss77/notebook53453990a2", "kernel_id": "110155"}, {"ref": "jw72135/detailed-cleaning-visualization-python", "kernel_id": "126484"}, {"ref": "bernardlin/notebook8489be2a76", "kernel_id": "117188"}, {"ref": "bernardlin/santander-recco", "kernel_id": "173391"}, {"ref": "gython1/50-less-memory-usage", "kernel_id": "115384"}, {"ref": "vfdev5/data-tests", "kernel_id": "115174"}, {"ref": "rijubhattacharyya/when-less-is-more", "kernel_id": "124655"}, {"ref": "rijubhattacharyya/go-for-more", "kernel_id": "124685"}, {"ref": "rijubhattacharyya/notebook49a9b8a822", "kernel_id": "124377"}, {"ref": "rijubhattacharyya/notebook9e86111aad", "kernel_id": "135689"}, {"ref": "rijubhattacharyya/notebook858891cf54", "kernel_id": "135001"}, {"ref": "rijubhattacharyya/notebook4315f2d069", "kernel_id": "129661"}, {"ref": "rijubhattacharyya/featimp1", "kernel_id": "129379"}, {"ref": "rijubhattacharyya/notebooke734c0c21d", "kernel_id": "129409"}, {"ref": "rijubhattacharyya/notebook6e0c8d0896", "kernel_id": "142374"}, {"ref": "jasonwu0731/notebook68aaee4338", "kernel_id": "137589"}, {"ref": "jasonwu0731/ssssss", "kernel_id": "117086"}, {"ref": "rprades/detailed-cleaning-visualization-python", "kernel_id": "119245"}, {"ref": "alexeylive/june-2015-customers", "kernel_id": "122949"}, {"ref": "asiamr/notebook677cfd742b", "kernel_id": "122502"}, {"ref": "asiamr/notebookb1f2d698b3", "kernel_id": "119388"}, {"ref": "rahulgopal/recommender-system", "kernel_id": "116160"}, {"ref": "rahulgopal/notebook0866b6482d", "kernel_id": "117979"}, {"ref": "madhurmd/xgb-starter", "kernel_id": "115558"}, {"ref": "madhurmd/when-less-is-more", "kernel_id": "120201"}, {"ref": "linkinparkcs/simple-exploration-notebook-v3-0", "kernel_id": "135647"}, {"ref": "xiaoyanli/detailed-cleaning-visualization", "kernel_id": "120457"}, {"ref": "xiaoyanli/1-month-data", "kernel_id": "121460"}, {"ref": "shawn3298317lin/abcde", "kernel_id": "117085"}, {"ref": "gnkadimeng/install-packages-ggplo2", "kernel_id": "157418"}, {"ref": "ciciqi/basic-svd-using-6-data-lb-0-01961", "kernel_id": "113904"}, {"ref": "asilazo/know-your-data-part-2-products", "kernel_id": "117508"}, {"ref": "mukrow/detailed-cleaning-visualization-python", "kernel_id": "130998"}, {"ref": "chliu1991/detailed-cleaning-visualization-python", "kernel_id": "115605"}, {"ref": "chliu1991/detailed-cleaning-visualization-python-22412777", "kernel_id": "116003"}, {"ref": "chliu1991/detailed-cleaning-visualization-python-b9dcb235", "kernel_id": "116337"}, {"ref": "chliu1991/detailed-cleaning-visualization-python-65734a02", "kernel_id": "116931"}, {"ref": "marcellonegro/go-for-more", "kernel_id": "131126"}, {"ref": "saurabhska/detailed-cleaning-visualization-python-b224f7a9", "kernel_id": "128393"}, {"ref": "saurabhska/detailed-cleaning-visualization-python", "kernel_id": "128370"}, {"ref": "ericwang915/feature-importance-v1", "kernel_id": "134169"}, {"ref": "ericwang915/detailed-cleaning-visualization-python", "kernel_id": "134204"}, {"ref": "bankhv/segmento", "kernel_id": "114284"}, {"ref": "bankhv/mass-hashes-panos", "kernel_id": "114260"}, {"ref": "bankhv/zturbo-script", "kernel_id": "111286"}, {"ref": "bankhv/notebook21bcc3565b", "kernel_id": "111287"}, {"ref": "bankhv/notebook886bf6fcfb", "kernel_id": "111141"}, {"ref": "bankhv/notebookf3c574f3cc", "kernel_id": "111162"}, {"ref": "bankhv/notebookafeabba5f3", "kernel_id": "110598"}, {"ref": "bankhv/collaborative-filtering-btb-lb-0-01691", "kernel_id": "110519"}, {"ref": "bankhv/mass-hashes", "kernel_id": "137252"}, {"ref": "jaredray/notebook6ae074f9ec", "kernel_id": "112974"}, {"ref": "danieleewww/detailed-cleaning-visualization-python", "kernel_id": "115956"}, {"ref": "danieleewww/santander-battle-k-8", "kernel_id": "118261"}, {"ref": "danieleewww/mass-hashes-v43-rs123456", "kernel_id": "120008"}, {"ref": "danieleewww/mass-hashes-v43-rs123456-koff10-k0-6", "kernel_id": "120011"}, {"ref": "danieleewww/mass-hashes-v35-koeff-0", "kernel_id": "119977"}, {"ref": "danieleewww/comprehensive-exploration-and-visualization-1", "kernel_id": "124572"}, {"ref": "danieleewww/when-less-is-more-extended", "kernel_id": "139379"}, {"ref": "chichi10010010/notebooka4edfe74d7", "kernel_id": "119730"}, {"ref": "sayfeld/know-your-data-part-3-change-in-products", "kernel_id": "154052"}, {"ref": "kiaeisinga/detailed-cleaning-visualization-python", "kernel_id": "117715"}, {"ref": "kiaeisinga/notebook39d0d5768d", "kernel_id": "117641"}, {"ref": "warrington/detailed-cleaning-visualization-python", "kernel_id": "117246"}, {"ref": "rsilveira79/notebookef193ce8a7", "kernel_id": "123347"}, {"ref": "datahww/notebookd96af409e7", "kernel_id": "121833"}, {"ref": "datahww/notebookc158f0234f", "kernel_id": "136156"}, {"ref": "datahww/test11", "kernel_id": "136163"}, {"ref": "datahww/simple-exploration-notebook-v3-0-177d02a0", "kernel_id": "136168"}, {"ref": "datahww/feature-importance-v1", "kernel_id": "133491"}, {"ref": "datahww/notebook044b994dda", "kernel_id": "133428"}, {"ref": "datahww/simple-exploration-notebook-v3-0-72b6da29", "kernel_id": "126372"}, {"ref": "datahww/simple-exploration-notebook-v3-0", "kernel_id": "126311"}, {"ref": "gaohong/notebook4b42ee1c44", "kernel_id": "121059"}, {"ref": "accagain/maximum-possible-score", "kernel_id": "119727"}, {"ref": "pankajvshrma/rf-framework-lb-0-022475", "kernel_id": "117053"}, {"ref": "pankajvshrma/when-less-is-more-23", "kernel_id": "121946"}, {"ref": "pankajvshrma/mass-hashes2", "kernel_id": "120147"}, {"ref": "pankajvshrma/mass-hashesasdadd", "kernel_id": "119704"}, {"ref": "zhoususheng/notebookaeecf9b9f5", "kernel_id": "119323"}, {"ref": "zfturbo/santander-battle", "kernel_id": "110659"}, {"ref": "zfturbo/mass-hashes", "kernel_id": "112631"}, {"ref": "danielhuckins/notebook788cc2fa72", "kernel_id": "111197"}, {"ref": "niketanpansare/notebook251fb5ae95", "kernel_id": "112262"}, {"ref": "vkasera/detailed-cleaning-visualization-python", "kernel_id": "116947"}, {"ref": "munawwar/notebookc45b2e2b7f", "kernel_id": "133535"}, {"ref": "akaakaaka/notebook38d5152117", "kernel_id": "117411"}, {"ref": "ravipandey/r-one-variable-exploration-part-1", "kernel_id": "119138"}, {"ref": "morpheusdeng/notebook336f660a8b", "kernel_id": "120918"}, {"ref": "shreyaghelani/santander-data-cleaning-and-exploration", "kernel_id": "150283"}, {"ref": "jjayaram/notebook8866dd0c71", "kernel_id": "110915"}, {"ref": "lightspeedrich/detailed-cleaning-visualization-python-016eed", "kernel_id": "256204"}, {"ref": "lightspeedrich/detailed-cleaning-visualization-python", "kernel_id": "256202"}, {"ref": "lightspeedrich/simple-exploration-notebook-v3-0", "kernel_id": "155395"}, {"ref": "lightspeedrich/comprehensive-exploration-and-visualization-1", "kernel_id": "155337"}, {"ref": "kalinstoyanov/comprehensive-exploration-and-visualization-1", "kernel_id": "125861"}, {"ref": "kalinstoyanov/detailed-cleaning-visualization-python", "kernel_id": "117871"}, {"ref": "rohitc01/test1", "kernel_id": "123158"}, {"ref": "mcafee/notebook1c01c8e0c3", "kernel_id": "135239"}, {"ref": "richasaini/simple-exploration-notebook-v3-0", "kernel_id": "132744"}, {"ref": "minamoradi/notebook89c55d1d98", "kernel_id": "110554"}, {"ref": "haykirstin/playing-with-santander-dataset", "kernel_id": "120609"}, {"ref": "johnjaywiley/notebook63ffd413ae", "kernel_id": "110592"}, {"ref": "johnjaywiley/wiley-santander-script", "kernel_id": "125089"}, {"ref": "malcolmsun/another-test", "kernel_id": "141797"}, {"ref": "malcolmsun/detailed-cleaning-visualization-python", "kernel_id": "135703"}, {"ref": "mritunjaykar/load-clean-data-in-10-lines-xgb", "kernel_id": "122504"}, {"ref": "nikhil2008v/detailed-cleaning-visualization-python", "kernel_id": "135178"}, {"ref": "prashantgavit115/notebook6468fe755b", "kernel_id": "113427"}, {"ref": "prashantgavit115/notebook5005ff78f2", "kernel_id": "125335"}, {"ref": "ivovkanych/notebook75c2518e84", "kernel_id": "115317"}, {"ref": "anishh/notebook5374de81c4", "kernel_id": "124772"}, {"ref": "starwar/scriptsan", "kernel_id": "142458"}, {"ref": "starwar/firstscript", "kernel_id": "119421"}, {"ref": "starwar/go-for-less2", "kernel_id": "131792"}, {"ref": "starwar/rf-multilabel-framework-lb-0-022475", "kernel_id": "114800"}, {"ref": "starwar/collaborative-filtering-btb-lb-0-01691", "kernel_id": "114018"}, {"ref": "kevincom/detailed-cleaning-visualization-python", "kernel_id": "119507"}, {"ref": "arjoonn/scout-script-4", "kernel_id": "110846"}, {"ref": "arjoonn/notebookc6c4ea9dae", "kernel_id": "110849"}, {"ref": "chunhsienhsu/detailed-cleaning-visualization-python", "kernel_id": "113496"}, {"ref": "alekseysmaga/notebook1c274777d8", "kernel_id": "119732"}, {"ref": "alekseysmaga/detailed-cleaning-visualization-python", "kernel_id": "116906"}, {"ref": "anammocanu/when-less-is-more-ext", "kernel_id": "142301"}, {"ref": "introbiantonioeslava/reduce-size-of-dataset-to-1-gb", "kernel_id": "182821"}, {"ref": "makhoman/detailed-cleaning-visualization-python", "kernel_id": "161040"}, {"ref": "fisimon/notebook7d55c74c89", "kernel_id": "111568"}, {"ref": "mf1533076/notebook36f5a2cb52", "kernel_id": "139736"}, {"ref": "jingwenliang/notebooke9fc26930f", "kernel_id": "113128"}, {"ref": "kirillal/when-less-is-more-ext", "kernel_id": "139817"}, {"ref": "sthuber/when-less-is-more", "kernel_id": "120268"}, {"ref": "anokas/collaborative-filtering-btb-lb-0-01691", "kernel_id": "110282"}, {"ref": "anokas/exploratory-data-analysis-2", "kernel_id": "110246"}, {"ref": "anokas/sb2000", "kernel_id": "112256"}, {"ref": "livingprogram/detailed-cleaning-visualization-python-f1156e4a", "kernel_id": "124202"}, {"ref": "livingprogram/detailed-cleaning-visualization-python", "kernel_id": "121328"}, {"ref": "mhnaomi/notebookd5f3579856", "kernel_id": "116735"}, {"ref": "ryangoy/detailed-cleaning-visualization-python", "kernel_id": "116144"}, {"ref": "noemir/detailed-cleaning-visualization", "kernel_id": "137227"}, {"ref": "huangmatthieu/just-another-visualisation", "kernel_id": "116208"}, {"ref": "nikhilgundawar007/santander-battle", "kernel_id": "112178"}, {"ref": "nikhilgundawar007/notebook9951a25047", "kernel_id": "112122"}, {"ref": "longint/mass-hashesasdadd", "kernel_id": "119978"}, {"ref": "ystao1980/reduce-size-of-dataset-to-1-gb", "kernel_id": "129061"}, {"ref": "ystao1980/comprehensive-exploration-and-visualization-1", "kernel_id": "129063"}, {"ref": "ystao1980/simple-exploration-notebook-v3-0", "kernel_id": "129066"}, {"ref": "ystao1980/santander-find-customers-similarities", "kernel_id": "129067"}, {"ref": "ystao1980/50-less-memory-usage", "kernel_id": "129068"}, {"ref": "ystao1980/detailed-cleaning-visualization-python", "kernel_id": "129056"}, {"ref": "fabsod/comprehensive-exploration-and-visualization-1", "kernel_id": "122558"}, {"ref": "fabsod/notebookc30deb3c7d", "kernel_id": "110992"}, {"ref": "pacogalera/detailed-cleaning-visualization-python", "kernel_id": "119443"}, {"ref": "wanghanbin/first-try", "kernel_id": "123219"}, {"ref": "wanghanbin/detailed-cleaning-visualization-python", "kernel_id": "116330"}, {"ref": "akkithetechie/notebookfccce4a14d", "kernel_id": "133534"}, {"ref": "amdouni/xgb-starter", "kernel_id": "115678"}, {"ref": "uchiboss/detailed-cleaning-visualization-python", "kernel_id": "120101"}, {"ref": "sunnysingha30/notebook5ffb6709e3", "kernel_id": "133541"}, {"ref": "sunnysingha30/notebookfe64066a8a", "kernel_id": "133543"}, {"ref": "sunnysingha30/notebook974e6c65e7", "kernel_id": "133547"}, {"ref": "ftrestour/notebooka4d7d7e5c7", "kernel_id": "111138"}, {"ref": "ftrestour/notebookf6f23d306f", "kernel_id": "111156"}, {"ref": "mtinti/xgb-starter", "kernel_id": "112045"}, {"ref": "hashvard/notebook4910ef40cc", "kernel_id": "114746"}, {"ref": "talyakar/detailed-cleaning-visualization-python", "kernel_id": "116694"}, {"ref": "gtrimarc/notebook0d6e961202", "kernel_id": "136495"}, {"ref": "gtrimarc/fork-of-fork-of-first-attempt", "kernel_id": "133797"}, {"ref": "gtrimarc/notebook05cc79681e", "kernel_id": "133721"}, {"ref": "gtrimarc/notebookb4313fcb06", "kernel_id": "133726"}, {"ref": "gtrimarc/detailed-cleaning-visualization-python", "kernel_id": "133673"}, {"ref": "gtrimarc/detailed-cleaning-visualization-python-4d38fcb6", "kernel_id": "133684"}, {"ref": "gtrimarc/notebookca1171f19e", "kernel_id": "133403"}, {"ref": "donyoe/santander-quick-first-view", "kernel_id": "110233"}, {"ref": "abdsh91/detailed-cleaning-visualization-python", "kernel_id": "114331"}, {"ref": "abdsh91/detailed-cleaning-visualization-python-6406b541", "kernel_id": "114366"}, {"ref": "mlouarra/just-another-visualisation", "kernel_id": "118700"}, {"ref": "yuyang339/notebook4ded58c13c", "kernel_id": "116818"}, {"ref": "leohemamou/detailed-cleaning-visualization", "kernel_id": "112887"}, {"ref": "captunez/notebookd1e47aa1cf", "kernel_id": "113338"}, {"ref": "captunez/notebookb64c5796d4", "kernel_id": "113490"}, {"ref": "nadavmaman/notebook06bee9bbe1", "kernel_id": "110496"}, {"ref": "vihangpatil/when-less-is-more", "kernel_id": "122355"}, {"ref": "vihangpatil/script-by-srk", "kernel_id": "122358"}, {"ref": "vihangpatil/santadar-product-recommendation", "kernel_id": "163597"}, {"ref": "addmeaning/detailed-cleaning-visualization-python", "kernel_id": "116671"}, {"ref": "tfrmarques/r-base-prediction", "kernel_id": "138397"}, {"ref": "bgbutler/detailed-cleaning-visualization-python", "kernel_id": "157010"}, {"ref": "dariavmk/detailed-cleaning-visualization-python", "kernel_id": "139660"}, {"ref": "salim2312/detailed-cleaning-visualization-python-118e5c29", "kernel_id": "141452"}, {"ref": "salim2312/detailed-cleaning-visualization-python", "kernel_id": "140692"}, {"ref": "jameszeng/detailed-cleaning-visualization-python", "kernel_id": "123140"}, {"ref": "dvllovesdogs/notebookacf41c8722", "kernel_id": "118555"}, {"ref": "achagant/notebookdc220a0cc7", "kernel_id": "113449"}, {"ref": "jansanchan/test-for-once-time", "kernel_id": "120664"}, {"ref": "jansanchan/notebook7b3b287c80", "kernel_id": "119981"}, {"ref": "ollystyles/script-test", "kernel_id": "115256"}, {"ref": "sunlchk/detailed-cleaning-visualization-python", "kernel_id": "115146"}, {"ref": "edloginova/detailed-cleaning-visualization-python", "kernel_id": "118441"}, {"ref": "sekrier/when-less-is-more", "kernel_id": "120281"}, {"ref": "rajatjn/starter", "kernel_id": "122190"}, {"ref": "bolang88/notebooke64522a6f7", "kernel_id": "113774"}, {"ref": "ebistrainz/notebookf30617e318", "kernel_id": "110986"}, {"ref": "zhangzhi110/detailed-cleaning-visualization-python", "kernel_id": "117614"}, {"ref": "arj7192/notebook1bb5e2c89c", "kernel_id": "114049"}, {"ref": "edugago/prueba-1", "kernel_id": "114201"}, {"ref": "jatinjansari/detailed-cleaning-visualization-python-e5eb965b", "kernel_id": "182478"}, {"ref": "jatinjansari/detailed-cleaning-visualization-python-43409cd7", "kernel_id": "151614"}, {"ref": "jatinjansari/1-san", "kernel_id": "157517"}, {"ref": "jatinjansari/detailed-cleaning-visualization-python", "kernel_id": "150664"}, {"ref": "charras/notebook6a82dddceb", "kernel_id": "121586"}, {"ref": "muhammedeltabakh/detailed-cleaning-visualization-python", "kernel_id": "133891"}, {"ref": "nirupamkar/dummy-run", "kernel_id": "130618"}, {"ref": "notbadday/detailed-cleaning-visualization-python", "kernel_id": "162350"}, {"ref": "sutteranalytics/just-another-visualisation", "kernel_id": "115408"}, {"ref": "jihyeseo/santander-eda", "kernel_id": "956619"}, {"ref": "zshawn1776/comprehensive-exploration-and-visualization-1", "kernel_id": "123467"}, {"ref": "richsykes/notebookd38b419b0e", "kernel_id": "139727"}, {"ref": "shezan1437/notebook2d1f911637", "kernel_id": "135921"}, {"ref": "cdr000/notebookb88468d6e8", "kernel_id": "122416"}, {"ref": "cdr000/notebook6909a75d75", "kernel_id": "122417"}, {"ref": "wandabwa2004/detailed-cleaning-visualization-python", "kernel_id": "135564"}, {"ref": "wrosinski/load-clean-compare-data-xgb", "kernel_id": "119365"}, {"ref": "wrosinski/boosted-python-xgb-starter-0-0223532-lb", "kernel_id": "116797"}, {"ref": "jhonyjacobi/notebook1dc2960304", "kernel_id": "127703"}, {"ref": "chriscundy/detailed-cleaning-visualization-python", "kernel_id": "135854"}, {"ref": "didmar/notebook687637f650", "kernel_id": "110265"}, {"ref": "didmar/notebook86f6e9af95", "kernel_id": "110516"}, {"ref": "kickyx/detailed-cleaning-visualization-python", "kernel_id": "136248"}, {"ref": "leticiacabral/detailed-cleaning-visualization-python", "kernel_id": "127256"}, {"ref": "deribs4/notebookbdaadcd8c9", "kernel_id": "134693"}, {"ref": "sankhamukherjee/notebook7336bdae72", "kernel_id": "111637"}, {"ref": "calmdown/detailed-cleaning-visualization-python", "kernel_id": "116891"}, {"ref": "sauravkaushik8/xyz-5-4", "kernel_id": "141221"}, {"ref": "the1wolf/detailed-cleaning-visualization-python", "kernel_id": "113339"}, {"ref": "lkx621/detailed-cleaning-visualization-python", "kernel_id": "120043"}, {"ref": "saudmeethal/notebookbcc1543d68", "kernel_id": "133536"}, {"ref": "saudmeethal/notebook6f04ecd4a2", "kernel_id": "133539"}, {"ref": "kizaph/notebook6fba4bd86b", "kernel_id": "111700"}, {"ref": "i120159/detailed-cleaning-visualization-python", "kernel_id": "135649"}, {"ref": "junhui/notebook6c35ab8840", "kernel_id": "139926"}, {"ref": "geddy05/train-ver2-csv", "kernel_id": "118398"}, {"ref": "vayken/when-less-is-more-extended", "kernel_id": "140524"}, {"ref": "matuscimerman/santander-rec-challenge", "kernel_id": "111486"}, {"ref": "jingqiwenhao/detailed-cleaning-visualization-python", "kernel_id": "113709"}, {"ref": "jingqiwenhao/simple-exploration-notebook-v2-0", "kernel_id": "116650"}, {"ref": "notmytype/notebook3001f424da", "kernel_id": "110599"}, {"ref": "notmytype/notebook9285946325", "kernel_id": "111343"}, {"ref": "notmytype/santander-product-recommendation", "kernel_id": "120729"}, {"ref": "tianye0032/notebook86f24da2a5", "kernel_id": "110906"}, {"ref": "erdemdevge/notebook4756c50850", "kernel_id": "115502"}, {"ref": "ppeilei/notebookf24fe5c630", "kernel_id": "118609"}, {"ref": "ppeilei/notebookab877a229e", "kernel_id": "118073"}, {"ref": "pecoraro/notebook7d646c026e", "kernel_id": "112870"}, {"ref": "selbstdenker/detailed-cleaning-visualization-python", "kernel_id": "137144"}, {"ref": "danieldong/simple-exploration-notebook-v2-0", "kernel_id": "113533"}, {"ref": "satishtanneru/notebook761b76b110", "kernel_id": "140325"}, {"ref": "williamhau/reduce-size-of-dataset-to-1-gb", "kernel_id": "125373"}, {"ref": "adrianspataru/detailed-cleaning-visualization-python", "kernel_id": "115572"}, {"ref": "adrianspataru/detailed-cleaning-visualization-python-0f83797a", "kernel_id": "122256"}, {"ref": "adrianspataru/detailed-cleaning-visualization-python-cbe3c628", "kernel_id": "122182"}, {"ref": "bbgulati/notebooke9d3e63af2", "kernel_id": "122009"}, {"ref": "qiaojuan/notebook409f3defd0", "kernel_id": "115747"}, {"ref": "doublefox/detailed-cleaning-visualization-python-4b7a66ee", "kernel_id": "114470"}, {"ref": "doublefox/detailed-cleaning-visualization-python", "kernel_id": "114451"}, {"ref": "doublefox/reduce-size-of-dataset-to-1-gb", "kernel_id": "121116"}, {"ref": "cjd1989/notebook82e323cff1", "kernel_id": "110756"}, {"ref": "miningjerry/notebook53648d9cc7", "kernel_id": "142777"}, {"ref": "miningjerry/notebook9fe089f436", "kernel_id": "147220"}, {"ref": "kuliksv/fork-of-notebookdb38a6e39c", "kernel_id": "158730"}, {"ref": "kuliksv/notebookcb51c200e3", "kernel_id": "128052"}, {"ref": "kuliksv/notebook483cb7e140", "kernel_id": "128049"}, {"ref": "mosu027/notebook4abb44a2c8", "kernel_id": "123661"}, {"ref": "zgcgreat/notebooke2ed8b2d73", "kernel_id": "122834"}, {"ref": "kevinj/detailed-cleaning-visualization-python", "kernel_id": "114314"}, {"ref": "jkfdre/notebook1fec39d352", "kernel_id": "133540"}, {"ref": "hlchen/notebook6168e3934d", "kernel_id": "192886"}, {"ref": "hlchen/notebook4b1fb7a8e0", "kernel_id": "120098"}, {"ref": "hlchen/notebookf439b5f923", "kernel_id": "124268"}, {"ref": "hlchen/notebook2ef81d0318", "kernel_id": "113190"}, {"ref": "hlchen/mass-hashes", "kernel_id": "113204"}, {"ref": "hlchen/notebook91429e4b97", "kernel_id": "112784"}, {"ref": "cnheider/detailed-cleaning-visualization-python", "kernel_id": "123013"}, {"ref": "sanketuoa/detailed-cleaning-visualization-python", "kernel_id": "120062"}, {"ref": "jayana/detailed-cleaning-visualization-python", "kernel_id": "118785"}, {"ref": "andrerovani/detailed-cleaning-visualization-python-77f5ccd2", "kernel_id": "117346"}, {"ref": "andrerovani/detailed-cleaning-visualization-python", "kernel_id": "117077"}, {"ref": "pcvidhya/know-your-data-part-4-products-sequence", "kernel_id": "185040"}, {"ref": "pcvidhya/know-your-data", "kernel_id": "190962"}, {"ref": "pcvidhya/know-your-data-7900ab", "kernel_id": "190964"}, {"ref": "linweili/detailed-cleaning-visualization-python", "kernel_id": "118133"}, {"ref": "messivanio/first-kernel-just-a-test", "kernel_id": "112278"}, {"ref": "nmvillanueva/notebookdb797d2d95", "kernel_id": "122180"}, {"ref": "ledgars/notebook14dea687ae", "kernel_id": "123663"}, {"ref": "ledgars/notebookce5824223e", "kernel_id": "134862"}, {"ref": "with1154/notebookc8557da9a5", "kernel_id": "130095"}, {"ref": "huiyan/notebook8538dab3b0", "kernel_id": "143374"}, {"ref": "ianvince/trial", "kernel_id": "113100"}, {"ref": "niuzitong/detailed-cleaning-visualization-python", "kernel_id": "113240"}, {"ref": "shreyansh/notebook630162176f", "kernel_id": "133689"}, {"ref": "shreyansh/notebook49baf9c15c", "kernel_id": "134884"}, {"ref": "raffo85/notebook11bea5d362", "kernel_id": "114465"}, {"ref": "fannybu214/notebook882bb778e4", "kernel_id": "110596"}, {"ref": "zhanghe/notebook0ef674eb37", "kernel_id": "110698"}, {"ref": "moesama/notebook354a83d08a", "kernel_id": "116849"}, {"ref": "qiaohaoforever/santander-quick-first-view", "kernel_id": "111319"}, {"ref": "goodlearn/reduce-size-of-dataset-to-1-gb", "kernel_id": "126142"}, {"ref": "skv321/notebook0e475198f1", "kernel_id": "131866"}, {"ref": "marifuzzaman/notebooke538ec5ced", "kernel_id": "117396"}, {"ref": "marifuzzaman/simple-exploration-notebook-v2-0", "kernel_id": "117410"}, {"ref": "marifuzzaman/detailed-cleaning-visualization-python", "kernel_id": "117435"}, {"ref": "freedom098/go-for-more", "kernel_id": "123622"}, {"ref": "freedom098/simplerf", "kernel_id": "123489"}, {"ref": "freedom098/keras-starter-script", "kernel_id": "122080"}, {"ref": "freedom098/rf-multilabel-framework-lb-0-022475", "kernel_id": "122078"}, {"ref": "freedom098/feture-choose", "kernel_id": "127451"}, {"ref": "katerynad/know-your-data-part-4-products-sequence", "kernel_id": "117227"}, {"ref": "katerynad/sankey-diagram", "kernel_id": "117542"}, {"ref": "katerynad/notebook1e0ab2ef6d", "kernel_id": "111567"}, {"ref": "katerynad/know-your-data", "kernel_id": "112561"}, {"ref": "katerynad/know-your-data-part-2-products", "kernel_id": "114549"}, {"ref": "katerynad/know-your-data-part-3-similarity", "kernel_id": "114607"}, {"ref": "sdsawtelle/explanation-of-map-7-metric", "kernel_id": "111401"}, {"ref": "wenjianhukaggle/detailed-cleaning-visualization-python", "kernel_id": "122012"}, {"ref": "wenjianhukaggle/detailed-cleaning-visualization-python-e21463aa", "kernel_id": "122021"}, {"ref": "wenjianhukaggle/detailed-cleaning-visualization-python-544ac0d1", "kernel_id": "128306"}, {"ref": "wenjianhukaggle/detailed-cleaning-visualization-python-bd802c19", "kernel_id": "137137"}, {"ref": "wenjianhukaggle/detailed-cleaning-visualization-python-332c5362", "kernel_id": "137059"}, {"ref": "wenjianhukaggle/detailed-cleaning-visualization-python-e40a8d72", "kernel_id": "138943"}, {"ref": "vermgau/detailed-cleaning-visualization-python", "kernel_id": "114277"}, {"ref": "jamest/exploratory-data", "kernel_id": "111257"}, {"ref": "amznit/rf-multilabel-framework-lb-0-022475", "kernel_id": "116844"}, {"ref": "vishvesh/just-another-visualisation", "kernel_id": "123760"}, {"ref": "muhabek/simple-exploration-notebook-v3-0", "kernel_id": "139390"}, {"ref": "muhabek/notebook92b743c642", "kernel_id": "130244"}, {"ref": "steffenneuralgamebot/detailed-cleaning-visualization", "kernel_id": "128030"}, {"ref": "gylmag/detailed-cleaning-visualization-python", "kernel_id": "130360"}, {"ref": "maffsojah/detailed-cleaning-visualization-python", "kernel_id": "158514"}, {"ref": "semaphore/know-your-data-part-2-products", "kernel_id": "119135"}, {"ref": "zhangsean/just-another-visualisation", "kernel_id": "126493"}, {"ref": "yanyang729/detailed-cleaning-visualization-python", "kernel_id": "138820"}, {"ref": "luudactam/tam456", "kernel_id": "119219"}, {"ref": "eduardooestmoreira/notebook14b00f9877", "kernel_id": "119361"}, {"ref": "demoonism/from-vishalakha", "kernel_id": "141915"}, {"ref": "demoonism/when-less-is-more-extended", "kernel_id": "139494"}, {"ref": "demoonism/notebook50626e0d37", "kernel_id": "114268"}, {"ref": "demoonism/improved-srk-s-script-lb-0-0233444", "kernel_id": "114272"}, {"ref": "demoonism/rf-multilabel-framework-lb-0-022475", "kernel_id": "114157"}, {"ref": "henrykmichalewski/keras-starter-script-with-batch", "kernel_id": "116819"}, {"ref": "cwindham/detailed-cleaning-visualization-python", "kernel_id": "119603"}, {"ref": "mohamedafifi/notebookf66e4d4b2f", "kernel_id": "132912"}, {"ref": "boulderkiwi/detailed-cleaning-visualization-python", "kernel_id": "116414"}, {"ref": "boulderkiwi/notebook31a1faec27", "kernel_id": "114599"}, {"ref": "boulderkiwi/when-less-is-more", "kernel_id": "121373"}, {"ref": "boulderkiwi/detailed-cleaning-visualization-python-6ad15c92", "kernel_id": "130335"}, {"ref": "ms32035/market-basket-analysis", "kernel_id": "111250"}, {"ref": "jmbrunskill/notebook22aafe493f", "kernel_id": "112008"}, {"ref": "imirassou/notebooked01e6216e", "kernel_id": "115848"}, {"ref": "riskmanagerindia/notebook205d41113b", "kernel_id": "135536"}, {"ref": "riskmanagerindia/notebook52c0834486", "kernel_id": "135537"}, {"ref": "riskmanagerindia/notebook78ec23e414", "kernel_id": "135538"}, {"ref": "riskmanagerindia/santander-01", "kernel_id": "135539"}, {"ref": "angelmm/santander-product", "kernel_id": "168670"}, {"ref": "rkcosmos/comprehensive-exploration-and-visualization-1", "kernel_id": "122865"}, {"ref": "rkcosmos/detailed-cleaning-visualization-python", "kernel_id": "120522"}, {"ref": "rkcosmos/notebookfa7b1b8323", "kernel_id": "120463"}, {"ref": "catarango/notebook7fcca290b2", "kernel_id": "128701"}, {"ref": "jiayong/notebook964fd3a383", "kernel_id": "124679"}, {"ref": "xingobar/product-recommendation", "kernel_id": "116027"}, {"ref": "xingobar/simple-logistic-regression", "kernel_id": "116363"}, {"ref": "xingobar/notebook2fbfd30b4f", "kernel_id": "111407"}, {"ref": "xingobar/random-forest-classifier", "kernel_id": "117764"}, {"ref": "xingobar/keras", "kernel_id": "120742"}, {"ref": "xingobar/data-visualization-2", "kernel_id": "124575"}, {"ref": "toterich/notebookc4233d4462", "kernel_id": "115566"}, {"ref": "djfire1296/notebooka7a27fa96f", "kernel_id": "131924"}, {"ref": "djfire1296/detailed-cleaning-visualization-python", "kernel_id": "137393"}, {"ref": "gcasajus/notebook19215a20a6", "kernel_id": "158401"}, {"ref": "rico1505/notebookd562f35320", "kernel_id": "118349"}, {"ref": "imrankhan17/notebook3d0b2a03c4", "kernel_id": "119733"}, {"ref": "alekseyklementiev/santander-product-rec-001", "kernel_id": "114572"}, {"ref": "alekseyklementiev/notebookd07d306bc3", "kernel_id": "114948"}, {"ref": "alekseyklementiev/notebook5550d1014f", "kernel_id": "120542"}, {"ref": "chrahulprasad/notebook6e45824617", "kernel_id": "111023"}, {"ref": "chrahulprasad/sample", "kernel_id": "111025"}, {"ref": "alijs1/santander-battle", "kernel_id": "111153"}, {"ref": "alijs1/ens2710", "kernel_id": "110440"}, {"ref": "alijs1/how-rich-are-average-product-owners", "kernel_id": "114596"}, {"ref": "alijs1/testing-some-numbers", "kernel_id": "116770"}, {"ref": "zhangx1994/notebook4ff327da92", "kernel_id": "120970"}, {"ref": "zhangx1994/notebook7b03503956", "kernel_id": "133133"}, {"ref": "zhangx1994/notebookf618d7320e", "kernel_id": "134016"}, {"ref": "zhangx1994/notebook9d5f1de485", "kernel_id": "134017"}, {"ref": "mayankjha4/notebook9401fea2f6", "kernel_id": "110945"}, {"ref": "bshelton141/exploratory-analysis-in-r", "kernel_id": "114681"}, {"ref": "bshelton141/testing-1", "kernel_id": "114683"}, {"ref": "bshelton141/notebookf88f12db09", "kernel_id": "113348"}, {"ref": "rarezende/mass-hashes", "kernel_id": "116099"}, {"ref": "johnzheng23/john-zheng", "kernel_id": "121068"}, {"ref": "johnzheng23/notebook6454cdc12e", "kernel_id": "121509"}, {"ref": "debzsud/detailed-cleaning-visualization-python", "kernel_id": "118246"}, {"ref": "tanlikesmath/go-for-less2-lag1", "kernel_id": "139424"}, {"ref": "tanlikesmath/when-less-is-more-extended-giba-2", "kernel_id": "137933"}, {"ref": "tanlikesmath/go-for-less2", "kernel_id": "133846"}, {"ref": "tanlikesmath/mass-hashes-playing-around", "kernel_id": "119973"}, {"ref": "tanlikesmath/when-less-is-more-1", "kernel_id": "121049"}, {"ref": "tanlikesmath/when-less-is-more-23", "kernel_id": "122700"}, {"ref": "tanlikesmath/zft-0411", "kernel_id": "114737"}, {"ref": "rrkc00/notebookcb82c7c7d4", "kernel_id": "113576"}, {"ref": "rrkc00/santander-battle", "kernel_id": "111095"}, {"ref": "kostyabahshetsyan/50-less-memory-usage", "kernel_id": "111646"}, {"ref": "kantologist/detailed-cleaning-visualization-python", "kernel_id": "125303"}, {"ref": "desmondlpk/comprehensive-exploration-and-visualization-1", "kernel_id": "141608"}, {"ref": "pankajtamhane/notebook827a99eaa8", "kernel_id": "116567"}, {"ref": "pankajtamhane/product-recommendation", "kernel_id": "116564"}, {"ref": "pankajtamhane/notebooka3e1950c54", "kernel_id": "114104"}, {"ref": "nitinvijay23/detailed-cleaning-visualization-python", "kernel_id": "120646"}, {"ref": "harpreetset/detailed-cleaning-visualization-python", "kernel_id": "117877"}, {"ref": "harpreetset/notebookc76b2febc5", "kernel_id": "131174"}, {"ref": "toster/notebook39966c5722", "kernel_id": "117534"}, {"ref": "toster/simple-association-rules-lb-0-02146", "kernel_id": "118607"}, {"ref": "fatcamera/simple-exploration-notebook-v2-0", "kernel_id": "113242"}, {"ref": "fatcamera/data-exploration", "kernel_id": "114316"}, {"ref": "alan215m/notebook0246cfd366", "kernel_id": "118643"}, {"ref": "kinsly/notebookacbe05c70c", "kernel_id": "113833"}, {"ref": "eww125/test-notebook", "kernel_id": "110471"}, {"ref": "eww125/script-test-py", "kernel_id": "110468"}, {"ref": "eww125/import-tensorflow", "kernel_id": "116755"}, {"ref": "sunghokim/santander", "kernel_id": "116646"}, {"ref": "ethornhill/notebook329f9478fd", "kernel_id": "118080"}, {"ref": "marc000/notebookaf6b1efb80", "kernel_id": "124356"}, {"ref": "marc000/notebook91204167f4", "kernel_id": "124353"}, {"ref": "marc000/notebook7882190dc6", "kernel_id": "124354"}, {"ref": "marc000/feature-importance-v1", "kernel_id": "124358"}, {"ref": "marc000/notebook0cb00329b5", "kernel_id": "124346"}, {"ref": "marc000/notebookb90957c97a", "kernel_id": "124348"}, {"ref": "marc000/feature-importance-with-extratreesclassifier", "kernel_id": "124714"}, {"ref": "klykly/notebookca2d707772", "kernel_id": "241090"}, {"ref": "klykly/notebookbfdca4e3a3", "kernel_id": "241038"}, {"ref": "klykly/notebook839e393410", "kernel_id": "239863"}, {"ref": "yongkai/notebooke7162c802e", "kernel_id": "117582"}, {"ref": "brainleochang/first", "kernel_id": "121675"}, {"ref": "zmykaggle/santender", "kernel_id": "120003"}, {"ref": "zhaogj/notebook849c3e6ea9", "kernel_id": "116919"}, {"ref": "alangham/detailed-cleaning-visualization-python", "kernel_id": "143102"}, {"ref": "kpratyush/datasummary", "kernel_id": "110687"}, {"ref": "kpratyush/notebookc815aadff9", "kernel_id": "110654"}, {"ref": "julienlondon/notebook2e8c76a3eb", "kernel_id": "116780"}, {"ref": "byeonghoon/know-your-data", "kernel_id": "116967"}, {"ref": "horeso/feature-importance-v1", "kernel_id": "132043"}, {"ref": "alighol/detailed-cleaning-visualization-python", "kernel_id": "114652"}, {"ref": "leeivan/detailed-cleaning-visualization-python-9fa81995", "kernel_id": "174208"}, {"ref": "leeivan/detailed-cleaning-visualization-python", "kernel_id": "174078"}, {"ref": "masip85/notebook1957036f2e", "kernel_id": "114382"}, {"ref": "wangyuanfu/detailed-cleaning-visualization-python", "kernel_id": "267072"}, {"ref": "bylt1228/detailed-cleaning-visualization-python", "kernel_id": "155683"}, {"ref": "deepikareddy/fork-of-detailed-cleaning-visualization-python", "kernel_id": "141610"}, {"ref": "deepikareddy/detailed-cleaning-visualization-python", "kernel_id": "141603"}, {"ref": "johnbi/notebooka6d0619d5d", "kernel_id": "113139"}, {"ref": "johnbi/notebooka053f87bfe", "kernel_id": "113589"}, {"ref": "johnbi/notebook6f82fd6100", "kernel_id": "113563"}, {"ref": "sergeeygenson/imputing-missing-data-on-santander-product", "kernel_id": "125333"}, {"ref": "isapaviam17/detailed-cleaning-visualization-python", "kernel_id": "123475"}, {"ref": "isapaviam17/comprehensive-exploration-and-visualization-1", "kernel_id": "123476"}, {"ref": "binilg/when-less-is-more-extended", "kernel_id": "137981"}, {"ref": "alexsvozil/notebookf112bc44d0", "kernel_id": "122235"}, {"ref": "alexsvozil/notebook4fecc76e1d", "kernel_id": "122233"}, {"ref": "alexsvozil/notebook8aa3061e93", "kernel_id": "122222"}, {"ref": "omer205/notebook190d481ad1", "kernel_id": "111092"}, {"ref": "hubingallin/detailed-cleaning-visualization-python", "kernel_id": "114159"}, {"ref": "tolgaozdogan/detailed-cleaning-visualization-python", "kernel_id": "135439"}, {"ref": "oscarl/graph-recommendation-engine-first-approach", "kernel_id": "111358"}, {"ref": "oscarl/notebooka29965ca73", "kernel_id": "111521"}, {"ref": "dims33/scriptv2", "kernel_id": "122876"}, {"ref": "dims33/script", "kernel_id": "122871"}, {"ref": "dims33/srk-s-script", "kernel_id": "122171"}, {"ref": "anthony93sm/notebook610b560d2b", "kernel_id": "110774"}, {"ref": "msankith/learn", "kernel_id": "135229"}, {"ref": "azmed86/dataessaie", "kernel_id": "140513"}, {"ref": "azmed86/dataessaie2", "kernel_id": "140533"}, {"ref": "azmed86/dataessaie3", "kernel_id": "140567"}, {"ref": "azmed86/dataessaie0", "kernel_id": "140577"}, {"ref": "science4fun/notebook9905e4f6ea", "kernel_id": "114868"}, {"ref": "xiyacao/notebook07d43c68b9", "kernel_id": "127864"}, {"ref": "sherafgan/when-less-is-more-23", "kernel_id": "128355"}, {"ref": "sherafgan/detailed-cleaning-visualization-python", "kernel_id": "126541"}, {"ref": "sherafgan/simple-exploration-notebook-v3-0", "kernel_id": "129683"}, {"ref": "sherafgan/simple-exploration-notebook-v3-0-85f1d38d", "kernel_id": "129689"}, {"ref": "nodairy/imputing-missing-data-on-santander-product", "kernel_id": "121900"}, {"ref": "nodairy/santander-quick-first-view", "kernel_id": "121901"}, {"ref": "jackiehuynh/notebookdb8cca932c", "kernel_id": "124593"}, {"ref": "mylearn/notebook476197ecb0", "kernel_id": "142346"}, {"ref": "mylearn/notebook5bde159636", "kernel_id": "114682"}, {"ref": "klenty/detailed-cleaning-visualization-python", "kernel_id": "132234"}, {"ref": "pyaare/santander-xgboost", "kernel_id": "119870"}, {"ref": "suchethrp/test-program", "kernel_id": "117535"}, {"ref": "edoarad/notebookc04c22f997", "kernel_id": "110717"}, {"ref": "edoarad/notebookd645ed17a9", "kernel_id": "110713"}, {"ref": "auytyaaakn/notebook54e23d4f08", "kernel_id": "135570"}, {"ref": "mobavarian/detailed-cleaning-visualization-python", "kernel_id": "169579"}, {"ref": "yhyu13/exploration-and-visualization-1-forked", "kernel_id": "125895"}, {"ref": "yhyu13/know-your-data-part-2-products-forked", "kernel_id": "115479"}, {"ref": "yhyu13/notebookefadac6f8a", "kernel_id": "110515"}, {"ref": "yhyu13/santander-quick-first-view", "kernel_id": "110446"}, {"ref": "yhyu13/notebookd8f2f99f5b", "kernel_id": "110135"}, {"ref": "yhyu13/simple-exploration-notebook-forked", "kernel_id": "111817"}, {"ref": "jyurain/notebookae0610d9d7", "kernel_id": "110169"}, {"ref": "alberti/notebookb63812b309", "kernel_id": "133213"}, {"ref": "lesleysbw/detailed-cleaning-visualization-python", "kernel_id": "114685"}, {"ref": "rojre1979/detailed-cleaning-visualization-python-update", "kernel_id": "122345"}, {"ref": "lynnnnnnn/detailed-cleaning-visualization-python", "kernel_id": "136149"}, {"ref": "lynnnnnnn/notebookd7791ac906", "kernel_id": "117962"}, {"ref": "abel1990/notebookba4c9358c0", "kernel_id": "125005"}, {"ref": "abel1990/notebookbbe2cb3233", "kernel_id": "124898"}, {"ref": "abel1990/notebook25f2de43a6", "kernel_id": "124904"}, {"ref": "abel1990/notebook663f80de0b", "kernel_id": "137776"}, {"ref": "vsudhir/notebook101e3460b2", "kernel_id": "122415"}, {"ref": "rednerrus/title-py", "kernel_id": "125955"}, {"ref": "isuruliyanage/detailed-cleaning-visualization-python", "kernel_id": "112977"}, {"ref": "hlo415/product-recommendation", "kernel_id": "118597"}, {"ref": "hlo415/practice-notebook", "kernel_id": "118600"}, {"ref": "abcrank/santander-abcrank", "kernel_id": "121771"}, {"ref": "abcrank/notebook895dd5f78a", "kernel_id": "140221"}, {"ref": "peter233/impor", "kernel_id": "117782"}, {"ref": "funapi/detailed-cleaning-visualization-python", "kernel_id": "162742"}, {"ref": "onnheimm/detailed-cleaning-visualization-python", "kernel_id": "115755"}, {"ref": "maha2016/notebookb64e7a2a8f", "kernel_id": "128907"}, {"ref": "wisker/notebooka52d99e677", "kernel_id": "114836"}, {"ref": "wisker/notebooke2b848e2fc", "kernel_id": "110574"}, {"ref": "billbosshard/notebookeaf31e9531", "kernel_id": "110298"}, {"ref": "luiz091/dados-santander-ltda", "kernel_id": "114915"}, {"ref": "luiz091/teste-50", "kernel_id": "114916"}, {"ref": "delemeator/xgb-starter", "kernel_id": "110394"}, {"ref": "leopoloco/notebooked6b1537bd", "kernel_id": "134114"}, {"ref": "zhenwu/notebookc2b5142d1d", "kernel_id": "124022"}, {"ref": "muriyizz/first", "kernel_id": "125999"}, {"ref": "muriyizz/notebook579bff73bc", "kernel_id": "140876"}, {"ref": "boussad/detailed-cleaning-visualization-python", "kernel_id": "118930"}, {"ref": "jojadud/notebooke1783e51ca", "kernel_id": "136982"}, {"ref": "jojadud/santander-exploration-1", "kernel_id": "136983"}, {"ref": "luyuwang/notebookb141de4b78", "kernel_id": "130553"}, {"ref": "mapa12/notebook23494c1bff", "kernel_id": "110517"}, {"ref": "merceddong/detailed-cleaning-visualization-python", "kernel_id": "141012"}, {"ref": "cxchao/notebooka521fef2f2", "kernel_id": "110739"}, {"ref": "jaehwipark/try-01", "kernel_id": "120141"}, {"ref": "masamasa/notebooka89dede2db", "kernel_id": "118548"}, {"ref": "andymaheshw/detailed-cleaning-visualization-python", "kernel_id": "114706"}, {"ref": "salshenoy/notebook8f31b01c7d", "kernel_id": "116201"}, {"ref": "jainsanmati/notebookc91bdcffca", "kernel_id": "133533"}, {"ref": "haqqodewan25/notebook71df8eda84", "kernel_id": "122934"}, {"ref": "haqqodewan25/when-less-is-more", "kernel_id": "122929"}, {"ref": "lemoinef/detailed-cleaning-visualization-python", "kernel_id": "133169"}, {"ref": "lemoinef/scipt", "kernel_id": "136066"}, {"ref": "rakhee/graph-recommendation-engine-first-approach", "kernel_id": "111635"}, {"ref": "randrr/notebookb7040932fd", "kernel_id": "111543"}, {"ref": "randrr/notebookd44935d289", "kernel_id": "111539"}, {"ref": "ejconlon/notebook5088acf641", "kernel_id": "115693"}, {"ref": "heleng/santander-quick-first-view", "kernel_id": "119805"}, {"ref": "djsaunde/notebook7b7fab866b", "kernel_id": "110444"}, {"ref": "surajssingh/notebook61b06d4ace", "kernel_id": "135265"}, {"ref": "mirclay/notebook6605bb1220", "kernel_id": "117530"}, {"ref": "coaxecva/notebookff1f86d2ba", "kernel_id": "111769"}, {"ref": "yash12392/notebook217f505eba", "kernel_id": "133542"}, {"ref": "sh3raawii/notebook40fa6de27b", "kernel_id": "136084"}, {"ref": "dreatrio/notebookeaace80037", "kernel_id": "114558"}, {"ref": "yobaba/helloworld", "kernel_id": "116547"}, {"ref": "yobaba/notebook18ab071726", "kernel_id": "116555"}, {"ref": "ismail64/when-less-is-more-extended", "kernel_id": "137928"}, {"ref": "ooluwadeyi/comprehensive-exploration-and-visualization-1", "kernel_id": "138590"}, {"ref": "amlacorp/santanderproducts", "kernel_id": "122809"}, {"ref": "kondor53/notebook32c95a80d2", "kernel_id": "123178"}, {"ref": "ruthogunnaike/detailed-cleaning-visualization-python-165ec64c", "kernel_id": "123540"}, {"ref": "ruthogunnaike/santander-battle", "kernel_id": "123534"}, {"ref": "berkeasonmez/asdfg", "kernel_id": "151068"}, {"ref": "apryor6/notebookb93b945fce", "kernel_id": "111528"}, {"ref": "apryor6/detailed-cleaning-visualization", "kernel_id": "110959"}, {"ref": "apryor6/detailed-cleaning-visualization-python", "kernel_id": "112295"}, {"ref": "chn9hn/notebook099fe59765", "kernel_id": "119630"}, {"ref": "chn9hn/reduce-size-of-dataset-to-1-gb", "kernel_id": "121981"}, {"ref": "chn9hn/detailed-cleaning-visualization-python", "kernel_id": "134701"}, {"ref": "xdcoder/detailed-cleaning-visualization-python-49688d60", "kernel_id": "116673"}, {"ref": "xdcoder/detailed-cleaning-visualization-python", "kernel_id": "116605"}, {"ref": "xdcoder/detailed-cleaning-and-visualization-python", "kernel_id": "116644"}, {"ref": "xdcoder/notebookfab2c5840d", "kernel_id": "110566"}, {"ref": "xdcoder/detailed-cleaning-visualization-python-ec32955c", "kernel_id": "121094"}, {"ref": "bazzvil90/imputing-missing-data-on-santander-product", "kernel_id": "117289"}, {"ref": "tameralamiri/predict-by-popularity-visuals", "kernel_id": "129947"}, {"ref": "mikelangel/notebook7f0e202e2a", "kernel_id": "111087"}, {"ref": "mikelangel/collaborative-filtering-btb-lb-0-01691", "kernel_id": "143642"}, {"ref": "mikelangel/when-less-is-more-extended", "kernel_id": "141534"}, {"ref": "libaishun/notebook3b966b3c77", "kernel_id": "118505"}, {"ref": "syedrizwan/notebookea1b7f8d62", "kernel_id": "112449"}, {"ref": "nouser/comprehensive-exploration-and-visualization-1", "kernel_id": "136909"}, {"ref": "hridyaramesh/detailed-cleaning-visualization-python", "kernel_id": "125209"}, {"ref": "femagr/notebook42feb9d0aa", "kernel_id": "122147"}, {"ref": "femagr/detailed-cleaning-visualization-python", "kernel_id": "122149"}, {"ref": "mahmoudmahdi/notebooka3228973e8", "kernel_id": "115816"}, {"ref": "dibadas/detailed-cleaning-visualization-python", "kernel_id": "121853"}, {"ref": "kottok/notebook687ec97851", "kernel_id": "121143"}, {"ref": "myounes/detailed-cleaning-visualization-python", "kernel_id": "145567"}, {"ref": "pinweihelai/detailed-cleaning-visualization-python-4beb903c", "kernel_id": "151436"}, {"ref": "pinweihelai/detailed-cleaning-visualization-python-a2de4f2c", "kernel_id": "151443"}, {"ref": "gerardosu/detailed-cleaning-visualization-python", "kernel_id": "115870"}, {"ref": "juanchencn/notebookc665a6602f", "kernel_id": "235750"}, {"ref": "juanchencn/notebook5838671954", "kernel_id": "235751"}, {"ref": "enterpreiss/notebook0c3ff03077", "kernel_id": "111252"}, {"ref": "enterpreiss/notebookd030dc5cab", "kernel_id": "111055"}, {"ref": "numadhamani/notebook406a3d7f23", "kernel_id": "121773"}, {"ref": "pixyyy/go-for-less2", "kernel_id": "132433"}, {"ref": "vancky/notebookdbb0f1eea0", "kernel_id": "115216"}, {"ref": "lisabarcelo/notebookc732444f7d", "kernel_id": "111946"}, {"ref": "goldchops/simple-model", "kernel_id": "112227"}, {"ref": "sandeep8530/feature-importance-v1", "kernel_id": "154274"}, {"ref": "wisape/notebook5620391d99", "kernel_id": "111617"}, {"ref": "zcw0101/notebook377469d3eb", "kernel_id": "133333"}, {"ref": "cathythecat/notebooka6cf291e5c", "kernel_id": "115485"}, {"ref": "paolom67/detailed-cleaning-visualization-python", "kernel_id": "112821"}, {"ref": "mintie21000/detailed-cleaning-visualization-python", "kernel_id": "119480"}, {"ref": "zhangchao123/notebook09f0b9de16", "kernel_id": "134750"}, {"ref": "henriv/notebooka83840e167", "kernel_id": "142418"}, {"ref": "mohsenai91/detailed-cleaning-visualization-python", "kernel_id": "135845"}, {"ref": "yanmengk/notebooke58a1412f3", "kernel_id": "138742"}, {"ref": "yanmengk/notebook44ba27bdff", "kernel_id": "129958"}, {"ref": "karunareddy20/notebookf2e571a999", "kernel_id": "130234"}, {"ref": "matzeni/santander-quick-first-view", "kernel_id": "112479"}, {"ref": "lucaskg/detailed-cleaning-visualization-python", "kernel_id": "137817"}, {"ref": "lucaskg/just-another-visualisation", "kernel_id": "137796"}, {"ref": "nazlevent/notebook68999da067", "kernel_id": "139174"}, {"ref": "nazlevent/notebook04bca021da", "kernel_id": "139166"}, {"ref": "nazlevent/notebookbb14e46432", "kernel_id": "113248"}, {"ref": "nazlevent/notebook3b018f0291", "kernel_id": "122514"}, {"ref": "nazlevent/deneme-v2", "kernel_id": "122518"}, {"ref": "andriuss/detailed-cleaning-visualization-python", "kernel_id": "115319"}, {"ref": "epicslayer/detailed-cleaning-visualization-python", "kernel_id": "131035"}, {"ref": "shangshu/stantaderpro", "kernel_id": "118757"}, {"ref": "raulmonraz/detailed-cleaning-visualization-python", "kernel_id": "124566"}, {"ref": "chasey08/notebook55749c2f31", "kernel_id": "165034"}, {"ref": "chasey08/notebook30f7a6d825", "kernel_id": "167242"}, {"ref": "wenchenkof2001/notebook692d4914f9", "kernel_id": "110245"}, {"ref": "wenchenkof2001/notebookc77d627fb2", "kernel_id": "110239"}, {"ref": "wenchenkof2001/asdasd", "kernel_id": "125195"}, {"ref": "wenchenkof2001/123456489", "kernel_id": "125200"}, {"ref": "wenchenkof2001/title", "kernel_id": "125192"}, {"ref": "kimosoo/kimos", "kernel_id": "121537"}, {"ref": "ggn1988/detailed-cleaning-visualization", "kernel_id": "114925"}, {"ref": "stellak/test-stella", "kernel_id": "118720"}, {"ref": "stellak/stella-1116-1", "kernel_id": "118134"}, {"ref": "stellak/notebookfc28721c35", "kernel_id": "118142"}, {"ref": "stellak/stella-1116-1501", "kernel_id": "118136"}, {"ref": "stellak/notebook2dac2b4584", "kernel_id": "117616"}, {"ref": "stellak/notebook9e4404ed4e", "kernel_id": "117784"}, {"ref": "stellak/notebookaea36f60f4", "kernel_id": "119654"}, {"ref": "stellak/testbgvdcfbg", "kernel_id": "119636"}, {"ref": "stellak/test-stella-0001", "kernel_id": "121057"}, {"ref": "adhikadhanes/simple-exploration-notebook-v3-0", "kernel_id": "124333"}, {"ref": "adhikadhanes/detailed-cleaning-visualization-python", "kernel_id": "115070"}, {"ref": "amarukostav/cobakostav", "kernel_id": "119657"}, {"ref": "hh3232/detailed-cleaning-visualization-python", "kernel_id": "113632"}, {"ref": "zrythpzhl/detailed-cleaning-visualization-python", "kernel_id": "130760"}, {"ref": "zrythpzhl/detailed-cleaning-visualization-python-67ce1c7f", "kernel_id": "130764"}, {"ref": "zrythpzhl/notebook1e02d10a8e", "kernel_id": "133299"}, {"ref": "abrzozowski/notebookaca39138da", "kernel_id": "121790"}, {"ref": "torupallab/detailed-cleaning-visualization-python", "kernel_id": "141872"}, {"ref": "teemumut/testinote", "kernel_id": "110808"}, {"ref": "blevine1230/notebook804e577bca", "kernel_id": "111008"}, {"ref": "blevine1230/notebook936de051f7", "kernel_id": "113006"}, {"ref": "ic4theprize/notebookcb946f1b38", "kernel_id": "116132"}, {"ref": "liuyingqi/detailed-cleaning-visualization-python", "kernel_id": "118825"}, {"ref": "otblearn/notebook4c6879f8a2", "kernel_id": "114565"}, {"ref": "evealote/know-your-data-part-2-products", "kernel_id": "117497"}, {"ref": "sandr4/notebookd7f5cb0201", "kernel_id": "111271"}, {"ref": "pytist/notebook3d9c56ad24", "kernel_id": "117640"}, {"ref": "jmporrua/notebook882e53424e", "kernel_id": "139208"}, {"ref": "i0riban/detailed-cleaning-visualization-python", "kernel_id": "117757"}, {"ref": "yoland/detailed-cleaning-visualization-python", "kernel_id": "128970"}, {"ref": "paulvhk/notebook0410dd3b97", "kernel_id": "111708"}, {"ref": "kpratik41/detailed-cleaning-visualization", "kernel_id": "161019"}, {"ref": "owenpfa/santander-product-recommentation", "kernel_id": "116112"}, {"ref": "taowenwu/notebook53b6fa7826", "kernel_id": "154738"}, {"ref": "taowenwu/comprehensive-exploration-and-visualization-1", "kernel_id": "153176"}, {"ref": "taowenwu/notebook69a66a2db6", "kernel_id": "157504"}, {"ref": "taowenwu/notebook050806c1e9", "kernel_id": "111664"}, {"ref": "taowenwu/notebook0c98b49f1f", "kernel_id": "112744"}, {"ref": "taowenwu/when-less-is-more-1", "kernel_id": "121180"}, {"ref": "latencio/detailed-cleaning-visualization-python", "kernel_id": "118585"}, {"ref": "latencio/reduce-size-of-dataset-to-1-gb", "kernel_id": "118564"}, {"ref": "latencio/leonel-s-attempt", "kernel_id": "116924"}, {"ref": "shopeth/detailed-cleaning-visualization-python", "kernel_id": "113913"}, {"ref": "phongsakornpuap/notebook5fa857db97", "kernel_id": "113259"}, {"ref": "alluxia/detailed-cleaning-visualization-python", "kernel_id": "113483"}, {"ref": "kanishkapsingh2/notebook49aefaea87", "kernel_id": "121479"}, {"ref": "kanishkapsingh2/notebookac587d7acc", "kernel_id": "122386"}, {"ref": "kanishkapsingh2/notebookf1a8fd88fc", "kernel_id": "122380"}, {"ref": "kanishkapsingh2/adsasd", "kernel_id": "122378"}, {"ref": "kanishkapsingh2/notebookb972025f48", "kernel_id": "122281"}, {"ref": "kanishkapsingh2/notebookdc913a81a4", "kernel_id": "122188"}, {"ref": "kanishkapsingh2/notebook96bfd9e31b", "kernel_id": "122191"}, {"ref": "kanishkapsingh2/notebookb5a62981da", "kernel_id": "122203"}, {"ref": "kanishkapsingh2/notebookf4dfc049a5", "kernel_id": "122209"}, {"ref": "sundaresaniyer/importing-dataset", "kernel_id": "112124"}, {"ref": "dubeya/notebookfd82f47426", "kernel_id": "131743"}, {"ref": "ultradot/notebook2df7db918d", "kernel_id": "143229"}, {"ref": "zrdabic/xxxxxx", "kernel_id": "115805"}, {"ref": "clintonjwang/detailed-cleaning-visualization-python", "kernel_id": "121945"}, {"ref": "flyingsuperman/notebook27fe49a000", "kernel_id": "112912"}, {"ref": "flyingsuperman/notebook3d9e646576", "kernel_id": "114035"}, {"ref": "primalusiana18/notebookc1e3c82991", "kernel_id": "122923"}, {"ref": "primalusiana18/notebook503bf636c4", "kernel_id": "122928"}, {"ref": "srinivasarajui/notebookdcfd7e1350", "kernel_id": "114550"}, {"ref": "srinivasarajui/my-analysis-in-r-wip", "kernel_id": "118625"}, {"ref": "rohansapre/script1", "kernel_id": "141604"}, {"ref": "eistaen/script-py", "kernel_id": "113757"}, {"ref": "eibriel/notebookf9e7a14246", "kernel_id": "112775"}, {"ref": "shse77/detailed-cleaning-visualization-python", "kernel_id": "116020"}, {"ref": "cnll0075/notebookdc8ce584d6", "kernel_id": "113049"}, {"ref": "tazkianida/maximum-possible-score", "kernel_id": "117793"}, {"ref": "shakti1994/notebook3ec0e9daa5", "kernel_id": "118723"}, {"ref": "shakti1994/fork-of-notebook3ec0e9daa5", "kernel_id": "118739"}, {"ref": "shakti1994/data-loading-and-cleaning-for-visualization", "kernel_id": "118122"}, {"ref": "shakti1994/notebook431e571e83", "kernel_id": "118127"}, {"ref": "adimasbagusdp/detailed-cleaning-visualization-python", "kernel_id": "139741"}, {"ref": "stefanocesco/notebook23acd95a71", "kernel_id": "117348"}, {"ref": "reemmahmoud93/notebook2033df6c4f", "kernel_id": "115708"}, {"ref": "elephantai/notebook3cde5dabb9", "kernel_id": "113335"}, {"ref": "limath/notebooke5d79866b7", "kernel_id": "130371"}, {"ref": "mckinnzs/detailed-cleaning-visualization-python", "kernel_id": "113697"}, {"ref": "dave4ml/notebook821f3692e4", "kernel_id": "113983"}, {"ref": "dave4ml/notebook6f107af959", "kernel_id": "113811"}, {"ref": "dave4ml/notebook8bd6236010", "kernel_id": "113804"}, {"ref": "dave4ml/notebook03aa706350", "kernel_id": "114614"}, {"ref": "dave4ml/notebooka9eb103097", "kernel_id": "115338"}, {"ref": "dave4ml/notebooke1f47dd7b4", "kernel_id": "116150"}, {"ref": "dave4ml/notebookcfb825c446", "kernel_id": "113463"}, {"ref": "dave4ml/notebook843c183384", "kernel_id": "119864"}, {"ref": "dave4ml/fork-of-notebook843c183384", "kernel_id": "163236"}, {"ref": "fikripratama/detailed-cleaning-visualization-python-update", "kernel_id": "119114"}, {"ref": "fikripratama/detailed-cleaning-visualization-in-python", "kernel_id": "119123"}, {"ref": "kalantzi/detailed-cleaning-visualization-python", "kernel_id": "113788"}, {"ref": "ahmadabdulghani/detailed-cleaning-visualization-python", "kernel_id": "123056"}, {"ref": "pntuananh/detailed-cleaning-visualization-python-41f06531", "kernel_id": "117144"}, {"ref": "pntuananh/detailed-cleaning-visualization-python", "kernel_id": "117122"}, {"ref": "pntuananh/feature-importance-v1", "kernel_id": "124669"}, {"ref": "pntuananh/comprehensive-exploration-and-visualization-1", "kernel_id": "125287"}, {"ref": "bnedelcu/detailed-cleaning-visualization-python", "kernel_id": "114112"}, {"ref": "ranjeet143/detailed-cleaning-visualization-python", "kernel_id": "166379"}, {"ref": "hrsfn9/notebook5823bad392", "kernel_id": "114341"}, {"ref": "hrsfn9/bismillah", "kernel_id": "121216"}, {"ref": "hrsfn9/mass-hashes", "kernel_id": "118049"}, {"ref": "hrsfn9/script1", "kernel_id": "118750"}, {"ref": "hrsfn9/script", "kernel_id": "118668"}, {"ref": "frenchy/notebookb641d44e2a", "kernel_id": "116690"}, {"ref": "frenchy/notebook6def8f0b0d", "kernel_id": "116483"}, {"ref": "frenchy/notebook870bf4a618", "kernel_id": "116472"}, {"ref": "frenchy/detailed-cleaning-visualization-python-c38c97c4", "kernel_id": "117836"}, {"ref": "frenchy/notebook4c8767b6d6", "kernel_id": "119663"}, {"ref": "frenchy/detailed-cleaning-visualization-python-cbf18f3f", "kernel_id": "119665"}, {"ref": "wenjin/notebook7d12f76720", "kernel_id": "115058"}, {"ref": "binalb/john-zheng", "kernel_id": "124455"}, {"ref": "witoldbiel/test-wpb", "kernel_id": "114554"}, {"ref": "nanistheloneliest/detailed-cleaning-visualization-python", "kernel_id": "114594"}, {"ref": "nanistheloneliest/detailed-cleaning-visualization-python-2b10a1ad", "kernel_id": "114709"}, {"ref": "ridhaulia/detailed-cleaning-visualization-python", "kernel_id": "124142"}, {"ref": "ridhaulia/detailed-cleaning-visualization-python-5ba7f7c6", "kernel_id": "124143"}, {"ref": "fsiscar/when-less-is-more-23", "kernel_id": "122366"}, {"ref": "screamout/try123", "kernel_id": "114815"}, {"ref": "screamout/notebook2bbe0413dc", "kernel_id": "114817"}, {"ref": "fatarea/feature-importance-v1", "kernel_id": "138908"}, {"ref": "fatarea/feature-importance-with-extratreesclassifier", "kernel_id": "138909"}, {"ref": "fatarea/feature-importance-v1-009ac2ca", "kernel_id": "138910"}, {"ref": "dmitriic/reduce-size-of-dataset-to-1-gb", "kernel_id": "116772"}, {"ref": "dmitriic/detailed-cleaning-visualization-python", "kernel_id": "117169"}, {"ref": "dmitriic/load-clean-data-in-10-lines-xgb", "kernel_id": "119844"}, {"ref": "jimseow/notebookdf52c8ca0f", "kernel_id": "115716"}, {"ref": "vedfjord/detailed-cleaning-visualization-python", "kernel_id": "117138"}, {"ref": "anandinasu/notebook434d41e305", "kernel_id": "115674"}, {"ref": "kuckucksuhr/notebook5dee349a54", "kernel_id": "116398"}, {"ref": "bclaypoole/notebook61943c43bd", "kernel_id": "119146"}, {"ref": "sdateam/notebook5fec9259bd", "kernel_id": "136727"}, {"ref": "sdateam/sample", "kernel_id": "136721"}, {"ref": "sdateam/notebook38446dbfd4", "kernel_id": "136722"}, {"ref": "sdateam/sample1", "kernel_id": "136725"}, {"ref": "sdateam/notebook265c556c46", "kernel_id": "115992"}, {"ref": "ccamino/notebookd84ab9eadd", "kernel_id": "120622"}, {"ref": "martinbrogren/notebookbc4e3c3fb3", "kernel_id": "116707"}, {"ref": "biohacker/notebook1fa5a7f0bc", "kernel_id": "125213"}, {"ref": "knee2710/exploring-the-data", "kernel_id": "116143"}, {"ref": "huwenhuo/notebookc424d7eed4", "kernel_id": "116209"}, {"ref": "mahdim/tesxt", "kernel_id": "120376"}, {"ref": "jmoore1/first-attempt-at-cleaning-and-visulizations", "kernel_id": "121307"}, {"ref": "pashanv/detailed-cleaning-visualization-python", "kernel_id": "150949"}, {"ref": "danieltremer/notebook7b67b217fa", "kernel_id": "116763"}, {"ref": "wjlucc/detailed-cleaning-visualization-python", "kernel_id": "117546"}, {"ref": "wjlucc/detailed-cleaning-visualization-python-cefe24bf", "kernel_id": "117778"}, {"ref": "gshevchuk/script-one", "kernel_id": "119599"}, {"ref": "linjia/notebook51e627ccb2", "kernel_id": "117078"}, {"ref": "shychen/detailed-cleaning-visualization-python", "kernel_id": "117324"}, {"ref": "d611301/detailed-cleaning-visualization-python", "kernel_id": "117093"}, {"ref": "ppgroup4/reduce-size-of-dataset-to-1-gb", "kernel_id": "141281"}, {"ref": "hreghay/notebookafde1cded9", "kernel_id": "122108"}, {"ref": "hreghay/notebook83e7ff3bc6", "kernel_id": "122213"}, {"ref": "agueda/dfdfd", "kernel_id": "117831"}, {"ref": "ryanc1/detailed-cleaning-visualization-python", "kernel_id": "118983"}, {"ref": "philosopherscholar/notebook08ac96a7fa", "kernel_id": "118493"}, {"ref": "robscovell/notebook1b175b5fe5", "kernel_id": "138946"}, {"ref": "robscovell/notebookb9d0c691b1", "kernel_id": "138960"}, {"ref": "dmm5213/notebooka122b4a86d", "kernel_id": "118143"}, {"ref": "datascientist78/santander-recco", "kernel_id": "118379"}, {"ref": "vipnikki/notebook37a8b1eff5", "kernel_id": "146206"}, {"ref": "stevenyechina/detailed-cleaning-visualization-python", "kernel_id": "118542"}, {"ref": "hypsous27/notebook23b52044ae", "kernel_id": "118628"}, {"ref": "chenghua/notebook0b5fc7b528", "kernel_id": "124093"}, {"ref": "chenghua/detailed-cleaning-visualization-python", "kernel_id": "124140"}, {"ref": "chenghua/simple-exploration-notebook-v3-0", "kernel_id": "124633"}, {"ref": "shriji1181/notebook3766fc2b47", "kernel_id": "133598"}, {"ref": "dacg160381/notebook5ad6c4d6fd", "kernel_id": "119546"}, {"ref": "hirenjani/santander-testing", "kernel_id": "124878"}, {"ref": "morrisb/santander-first-try", "kernel_id": "122157"}, {"ref": "fenggao/notebooke2ce0768ae", "kernel_id": "121467"}, {"ref": "sumeetambastha/first", "kernel_id": "141899"}, {"ref": "yanivh/notebook29de103e5e", "kernel_id": "120692"}, {"ref": "suniltrip/testcode", "kernel_id": "130947"}, {"ref": "radekbir/notebookf2c64e07f3", "kernel_id": "123871"}, {"ref": "radekbir/notebook05e46b81d8", "kernel_id": "123874"}, {"ref": "rnannapaneni/notebookdeaad562d6", "kernel_id": "128357"}, {"ref": "rnannapaneni/first-run", "kernel_id": "137760"}, {"ref": "rnannapaneni/notebook4cb25fb2c3", "kernel_id": "137761"}, {"ref": "rnannapaneni/notebookf8bb245bb1", "kernel_id": "137781"}, {"ref": "drogend/notebook6d9a3983f2", "kernel_id": "140772"}, {"ref": "drogend/notebook420dd5c559", "kernel_id": "141350"}, {"ref": "avnovikov/notebook79f6dcc949", "kernel_id": "128748"}, {"ref": "avnovikov/notebook084569b975", "kernel_id": "128811"}, {"ref": "xixibing/notebookb3f47dd202", "kernel_id": "130792"}, {"ref": "zjzh304/test-1-py", "kernel_id": "135699"}, {"ref": "zjzh304/test-py", "kernel_id": "135663"}, {"ref": "zjzh304/notebook936b32ae4c", "kernel_id": "135660"}, {"ref": "zjzh304/test-2-py", "kernel_id": "136750"}, {"ref": "zjzh304/test-1220-py", "kernel_id": "141010"}, {"ref": "zjzh304/test-6-py", "kernel_id": "140999"}, {"ref": "zjzh304/test-5-py", "kernel_id": "140561"}, {"ref": "zjzh304/test-1220-1", "kernel_id": "141116"}, {"ref": "zjzh304/test-4-py", "kernel_id": "140215"}, {"ref": "graf18/notebookcd0d32eaba", "kernel_id": "131438"}, {"ref": "k0walski/santander-product-recommendation", "kernel_id": "160367"}, {"ref": "k0walski/santander-prodct-recommendation", "kernel_id": "160430"}, {"ref": "tangdun/notebook3eb7ba43ef", "kernel_id": "134195"}, {"ref": "ianheddle/detailed-cleaning-visualization-python", "kernel_id": "122315"}, {"ref": "qinrj2016/notebookcad41bff10", "kernel_id": "132913"}, {"ref": "qinrj2016/notebook3303d9c173", "kernel_id": "131358"}, {"ref": "njulida/run-while-i-m-reading", "kernel_id": "141269"}, {"ref": "chaoukicharfeddine/detailed-cleaning-visualization-python-68193c3e", "kernel_id": "124286"}, {"ref": "chaoukicharfeddine/detailed-cleaning-visualization-python", "kernel_id": "124269"}, {"ref": "zhxsxuan/detailed-cleaning-visualization-python", "kernel_id": "121885"}, {"ref": "mf1633064/reduce-size-of-dataset-to-1-gb", "kernel_id": "131235"}, {"ref": "tbsoares/notebook980e927056", "kernel_id": "122173"}, {"ref": "tzzcl1/detailed-cleaning-visualization-python", "kernel_id": "122835"}, {"ref": "ezuraniisama/santander-trial", "kernel_id": "122782"}, {"ref": "bolobolo/santander-find-customers-similarities", "kernel_id": "122855"}, {"ref": "gmase1/detailed-cleaning-visualization-python", "kernel_id": "123011"}, {"ref": "chenzhaomin123/notebookb826c7ffa3", "kernel_id": "130901"}, {"ref": "omibra/notebookd87fbb58f3", "kernel_id": "123688"}, {"ref": "jpdorism/notebookb4d6d9d7b2", "kernel_id": "127767"}, {"ref": "jogadr/initial-test", "kernel_id": "124019"}, {"ref": "xtt5480/qwertuuu", "kernel_id": "140431"}, {"ref": "xtt5480/aaaaaaaaaaa", "kernel_id": "139012"}, {"ref": "xtt5480/fffgdd", "kernel_id": "138978"}, {"ref": "xtt5480/hhhhhhh", "kernel_id": "139037"}, {"ref": "xtt5480/asasdas", "kernel_id": "139796"}, {"ref": "xtt5480/notebook91ca2cc991", "kernel_id": "124688"}, {"ref": "xtt5480/qwert", "kernel_id": "124689"}, {"ref": "xtt5480/cdscvsdv", "kernel_id": "124700"}, {"ref": "xtt5480/dsccccc", "kernel_id": "133405"}, {"ref": "chen9434/test1", "kernel_id": "131178"}, {"ref": "chen9434/notebook05cc36ac63", "kernel_id": "131716"}, {"ref": "man4urheart/santander-alogrithm-mandeep", "kernel_id": "125640"}, {"ref": "man4urheart/comprehensive-exploration-and-visualization-1", "kernel_id": "128180"}, {"ref": "queenhhm/comprehensive-exploration-and-visualization-1", "kernel_id": "129839"}, {"ref": "giselle123/first-view-of-data", "kernel_id": "134666"}, {"ref": "shizihao123/notebook3563ce6f8e", "kernel_id": "129092"}, {"ref": "frontlook/test-1", "kernel_id": "126227"}, {"ref": "finoear/notebook861c44f850", "kernel_id": "127157"}, {"ref": "s55082/test-files", "kernel_id": "130334"}, {"ref": "midwinter1993/detailed-cleaning-visualization-python", "kernel_id": "129236"}, {"ref": "midwinter1993/when-less-is-more", "kernel_id": "127618"}, {"ref": "wudapeng268/test123", "kernel_id": "131140"}, {"ref": "triplebee/notebook1d0c32f74d", "kernel_id": "129436"}, {"ref": "orbanjan/simple-exploration-notebook-v3-0", "kernel_id": "135147"}, {"ref": "orbanjan/detailed-cleaning-visualization-python", "kernel_id": "135141"}, {"ref": "zz012345/testing", "kernel_id": "139739"}, {"ref": "zz012345/when-less-is-more-extended", "kernel_id": "139792"}, {"ref": "weif163/notebook93f5d11b4d", "kernel_id": "158799"}, {"ref": "asdfqwe/notebookbdb45aad31", "kernel_id": "134670"}, {"ref": "lonelegend/when-less-is", "kernel_id": "139832"}, {"ref": "lonelegend/when-l", "kernel_id": "139856"}, {"ref": "lonelegend/notebooka64f55761b", "kernel_id": "132766"}, {"ref": "lonelegend/mg1633068", "kernel_id": "134171"}, {"ref": "lonelegend/mg1633068sy", "kernel_id": "134302"}, {"ref": "lonelegend/mg1633068sys", "kernel_id": "134306"}, {"ref": "lonelegend/mg1633068sy1", "kernel_id": "134987"}, {"ref": "jingwei95/test-of-jingwei", "kernel_id": "130855"}, {"ref": "smartxingyu/notebook52092a541a", "kernel_id": "136513"}, {"ref": "aaronzark/notebookd0b0fb1ce7", "kernel_id": "137515"}, {"ref": "breezing/notebook6515c24df5", "kernel_id": "132030"}, {"ref": "breezing/notebook56a96c5341", "kernel_id": "132068"}, {"ref": "breezing/notebook26bcaf8437", "kernel_id": "130892"}, {"ref": "mf1633071/test1", "kernel_id": "141247"}, {"ref": "mf1633071/testxg", "kernel_id": "141253"}, {"ref": "mf1633071/ssjjjj", "kernel_id": "132031"}, {"ref": "mf1633071/notebooka3c0de00f4", "kernel_id": "132032"}, {"ref": "mf1633071/notebooka74b0f4edf", "kernel_id": "134101"}, {"ref": "amiam60/notebook9f06a68127", "kernel_id": "132190"}, {"ref": "bqwang/notebook12f6ee3ed0", "kernel_id": "131761"}, {"ref": "xbolee/notebooka71c69d477", "kernel_id": "132022"}, {"ref": "mf1633028/notebook1ba20a6e85", "kernel_id": "132034"}, {"ref": "samsons/notebooked22577170", "kernel_id": "132993"}, {"ref": "samsons/notebookefa7b36d92", "kernel_id": "132999"}, {"ref": "samsons/check", "kernel_id": "133001"}, {"ref": "sloriac/notebook24000b97ab", "kernel_id": "132118"}, {"ref": "ghmatscut/notebook03b99f3a5b", "kernel_id": "132132"}, {"ref": "ghmatscut/detailed-cleaning-visualization-python", "kernel_id": "132133"}, {"ref": "ghmatscut/quere", "kernel_id": "140445"}, {"ref": "vmolin/notebookf20c513980", "kernel_id": "132308"}, {"ref": "ampoly/notebook6a8a240a97", "kernel_id": "132304"}, {"ref": "simranksethi/detailed-cleaning-visualization-python", "kernel_id": "132371"}, {"ref": "k0n1star/detailed-cleaning-visualization-python", "kernel_id": "132890"}, {"ref": "guolingbing/notebook70f4f40f8f", "kernel_id": "132726"}, {"ref": "guolingbing/notebooke764cebdc5", "kernel_id": "133400"}, {"ref": "picasso92/notebookc719076e92", "kernel_id": "142330"}, {"ref": "mg1533014/when-less-is-more-extended", "kernel_id": "141371"}, {"ref": "dreamcxy/test-py", "kernel_id": "133459"}, {"ref": "ahmedabbas01/notebook01f3852682", "kernel_id": "133664"}, {"ref": "phirangi91/notebooke22a3ca04f", "kernel_id": "133537"}, {"ref": "ckalpit/notebookcfdb2c02e6", "kernel_id": "133554"}, {"ref": "xinchencai/less-is-more", "kernel_id": "140310"}, {"ref": "xinchencai/xgboost-map7", "kernel_id": "140425"}, {"ref": "mg1633009/test1", "kernel_id": "136642"}, {"ref": "mg1633009/notebook4aaef5808b", "kernel_id": "136647"}, {"ref": "mg1633009/notebookf3b02827a6", "kernel_id": "141072"}, {"ref": "mg1633009/result2", "kernel_id": "140265"}, {"ref": "mg1633009/result", "kernel_id": "140353"}, {"ref": "alielseddeek/notebookee24e4916a", "kernel_id": "134320"}, {"ref": "mf1633065/detailed-cleaning-visualization-python", "kernel_id": "135448"}, {"ref": "mf1633065/notebookd35428778b", "kernel_id": "134682"}, {"ref": "ganyuanzhu/notebook62ab46b05e", "kernel_id": "134835"}, {"ref": "taokun/notebook93966bf8b1", "kernel_id": "136454"}, {"ref": "taokun/aaaaa", "kernel_id": "136451"}, {"ref": "shangwj/notebook5f49d1932f", "kernel_id": "135083"}, {"ref": "mg1633018/notebookec9a125043", "kernel_id": "135064"}, {"ref": "dterango/notebook84db2d30ff", "kernel_id": "135388"}, {"ref": "mfyaya/notebook37154bffcd", "kernel_id": "139447"}, {"ref": "mf1633024/detailed-cleaning-visualization-python", "kernel_id": "139757"}, {"ref": "mf1633024/when-less-is-more", "kernel_id": "139778"}, {"ref": "mf1633024/testnothing", "kernel_id": "139750"}, {"ref": "mf1633024/notebook6e07f83f84", "kernel_id": "139748"}, {"ref": "mf1633024/notebookc770ac8d4e", "kernel_id": "140253"}, {"ref": "dmemoing/test2", "kernel_id": "141353"}, {"ref": "dmemoing/my-test", "kernel_id": "139709"}, {"ref": "mg1633081/notebook0505eaafa5", "kernel_id": "138877"}, {"ref": "jdallet/notebook58278d3563", "kernel_id": "177478"}, {"ref": "imbarpjy/notebook31105ae572", "kernel_id": "139754"}, {"ref": "imbarpjy/notebook23defe983b", "kernel_id": "139777"}, {"ref": "imbarpjy/notebook51d6ec9722", "kernel_id": "139758"}, {"ref": "rfliu6/detailed-cleaning-visualization-python", "kernel_id": "156033"}, {"ref": "tombong/notebook307336cb94", "kernel_id": "165937"}, {"ref": "zhaonan/detailed-cleaning-visualization-python", "kernel_id": "160624"}, {"ref": "mengyigao/notebook51de5fdcfb", "kernel_id": "155204"}, {"ref": "david00zhang/detailed-cleaning-visualization-python", "kernel_id": "165848"}, {"ref": "kndiaye1/notebook4f2c1bcb39", "kernel_id": "181450"}, {"ref": "kndiaye1/trying-xgboost-v1", "kernel_id": "181451"}, {"ref": "kndiaye1/santander-cleaning-v1", "kernel_id": "175785"}, {"ref": "kndiaye1/notebookdab1e24670", "kernel_id": "173606"}, {"ref": "kndiaye1/santander-exploration-v1", "kernel_id": "173608"}, {"ref": "varopilia/detailed-cleaning-visualization-python", "kernel_id": "167010"}, {"ref": "xbmatrix/santanderproductrecommendation-xgboost", "kernel_id": "227367"}, {"ref": "xbmatrix/xgboost", "kernel_id": "228030"}, {"ref": "xbmatrix/notebook2e207732b3", "kernel_id": "229662"}, {"ref": "ajithk/santander-recommendation-notebook", "kernel_id": "166996"}, {"ref": "patorn/detailed-cleaning-visualization-python", "kernel_id": "184476"}, {"ref": "patorn/fork-of-detailed-cleaning-visualization-python-e", "kernel_id": "185394"}, {"ref": "ganakar/notebook77b5f66264", "kernel_id": "267157"}, {"ref": "pandurang050/detailed-cleaning-visualization-python-520dfd", "kernel_id": "225241"}, {"ref": "pandurang050/detailed-cleaning-visualization-python-6d2f15", "kernel_id": "224913"}, {"ref": "leilabidad/run-while-i-m-reading", "kernel_id": "200430"}, {"ref": "leilabidad/detailed-cleaning-visualization-python-70464a", "kernel_id": "211595"}, {"ref": "tictac/detailed-cleaning-visualization-python", "kernel_id": "277470"}, {"ref": "noahbieler/santander-competition", "kernel_id": "205727"}, {"ref": "goodmansjtu/spark-recommend-product", "kernel_id": "272118"}, {"ref": "jifei1120/notebooka607c7c2a1", "kernel_id": "222827"}, {"ref": "danishmerani/notebookfcfe0caf70", "kernel_id": "247455"}, {"ref": "rehmanmuradali/ids-project", "kernel_id": "247458"}, {"ref": "mkdas1001/notebook93cd34443a", "kernel_id": "222864"}, {"ref": "prasanth04/notebook75e90d9b93", "kernel_id": "224673"}, {"ref": "nasirahmad/pairingkernel", "kernel_id": "276465"}, {"ref": "tonemarie/detailed-cleaning-visualization-python", "kernel_id": "270771"}, {"ref": "sgomezvillamor/santander-product-recom-based-on-frequent-itemsets", "kernel_id": "276646"}, {"ref": "frisio41/xgb-starter", "kernel_id": "322880"}, {"ref": "hachemsfar/logistic-regression", "kernel_id": "956881"}, {"ref": "hachemsfar/most-probable-product-recent", "kernel_id": "956535"}, {"ref": "hachemsfar/collaborativefiltering", "kernel_id": "956794"}, {"ref": "zoe1580/santander-customers-similarities-prueba-laura", "kernel_id": "444270"}, {"ref": "bodek87/santander-recommendation", "kernel_id": "887699"}, {"ref": "kweonwooj/exploratory-data-analysis-in-korean-180801", "kernel_id": "1377023"}, {"ref": "hanene1/randomforestclassifier", "kernel_id": "1718203"}, {"ref": "hanene1/combo-lr-rf", "kernel_id": "1688524"}, {"ref": "hanene1/makejuneextradata-fff8dd", "kernel_id": "1686848"}, {"ref": "hanene1/logistic-regression", "kernel_id": "1686769"}, {"ref": "hanene1/logistic-regression-012c88", "kernel_id": "1686811"}, {"ref": "hanene1/decision-tree-with-demographic", "kernel_id": "1688400"}, {"ref": "hanene1/decision-tree-7829eb", "kernel_id": "1688175"}, {"ref": "hanene1/random-forest-with-demographic", "kernel_id": "1688176"}, {"ref": "hanene1/random-forest-with-demographic-644587", "kernel_id": "1688184"}, {"ref": "hanene1/santander-data-preparation", "kernel_id": "1397128"}, {"ref": "hanene1/santander-product", "kernel_id": "1397156"}, {"ref": "hanene1/modeling-logistic-regression", "kernel_id": "1602506"}, {"ref": "hanene1/modeling-random-forest-classifier", "kernel_id": "1602186"}, {"ref": "hanene1/most-probable-product-recent", "kernel_id": "1569308"}, {"ref": "hanene1/decision-tree", "kernel_id": "1569354"}, {"ref": "hanene1/santander-data-preparation-data-cleaning", "kernel_id": "1569070"}, {"ref": "hanene1/santander-data-understanding", "kernel_id": "1637429"}, {"ref": "wesamelshamy/what-the-features-mean", "kernel_id": "1170817"}, {"ref": "hachemsfar/ens2710", "kernel_id": "1395423"}, {"ref": "hachemsfar/random-forest", "kernel_id": "1401369"}, {"ref": "hachemsfar/xgboost", "kernel_id": "1398451"}, {"ref": "hachemsfar/decision-tree", "kernel_id": "1398544"}, {"ref": "hachemsfar/naive-bayes", "kernel_id": "1399486"}, {"ref": "hachemsfar/randomforestclassifier", "kernel_id": "1396848"}, {"ref": "hachemsfar/na-ve-bayes", "kernel_id": "1422916"}, {"ref": "hachemsfar/decision-tree-with-demographic", "kernel_id": "1423030"}, {"ref": "hachemsfar/combo-lr-rf", "kernel_id": "1430834"}, {"ref": "hachemsfar/keras", "kernel_id": "1420346"}, {"ref": "cheesepizza/santander-prediction-rnn-1", "kernel_id": "2034235"}, {"ref": "jake126/memory-based-collaborative-filtering", "kernel_id": "3768761"}, {"ref": "kimchiwoong/santander-product-recommendation", "kernel_id": "3956633"}, {"ref": "skw216014/practice-recommend", "kernel_id": "3099535"}, {"ref": "puzzleleaf/ml-study-1-collaborative-filtering", "kernel_id": "4335445"}, {"ref": "alirezao/random-forest-classifier-alirezao", "kernel_id": "4534409"}, {"ref": "jiaofenx/santander-product-recommendation", "kernel_id": "5119610"}, {"ref": "arains/santander-product", "kernel_id": "5958194"}, {"ref": "donghunkim/baseline-hun", "kernel_id": "9613035"}, {"ref": "donghunkim/study-hun", "kernel_id": "9275352"}, {"ref": "bjladika/santander-product-recommendation-xgboost", "kernel_id": "9762839"}, {"ref": "hugedin/santander-product-recommendation-skryabin", "kernel_id": "9724540"}, {"ref": "aaaaaa321/santander-product-recommendation", "kernel_id": "9882882"}, {"ref": "sashabadmaev/sprbybadmaev", "kernel_id": "9792315"}, {"ref": "vasportv/santander-product-recommendation-by-porotov", "kernel_id": "9776431"}, {"ref": "orkonungr/5-santander-product-recommendation-erken", "kernel_id": "9771292"}, {"ref": "heejungan/ml-study", "kernel_id": "9239522"}, {"ref": "crmcrmok/kernel29f7e60f67", "kernel_id": "9040420"}, {"ref": "ochuk1/santander2", "kernel_id": "9700730"}, {"ref": "uurdeep/recommendation", "kernel_id": "11236355"}, {"ref": "hiro1005/santander-product-recommendation", "kernel_id": "12055765"}, {"ref": "pedroaugusto97/santander-product-recommendation-skryabin", "kernel_id": "13839461"}, {"ref": "cjywish/santander-product-recommendation-compete-eda", "kernel_id": "14959193"}, {"ref": "kmnkmn/santanderp-product-reccomen", "kernel_id": "17386866"}, {"ref": "cjywish/santander-product-recommendation-xgboost", "kernel_id": "18739882"}, {"ref": "calucurecalu/santander-product-recommendation", "kernel_id": "27258436"}, {"ref": "padmanabhanporaiyar/santander-banking-service-recommendation", "kernel_id": "31839980"}, {"ref": "r10942056hongbin/notebook4621b16e81", "kernel_id": "33539271"}, {"ref": "jomakimura/notebook9c90f15b83", "kernel_id": "33716251"}, {"ref": "wojteksy/santander-hybrid-recommendation-system", "kernel_id": "34679111"}, {"ref": "mikefan/bank-product-recommendation-system", "kernel_id": "39806899"}, {"ref": "ekaterineoshkhereli/santander-product-recommendation-wwc-london", "kernel_id": "39343229"}, {"ref": "digvijay96/notebooked7df94388", "kernel_id": "40784441"}, {"ref": "digvijay96/segment-2", "kernel_id": "40997735"}, {"ref": "kevinvallemorales/proyecto-anal-tica-descriptiva-dm-ml", "kernel_id": "40065042"}, {"ref": "hotbox12/notebookbcca09eb41", "kernel_id": "40981242"}, {"ref": "yakinoki/santander-product-training", "kernel_id": "41584699"}, {"ref": "digvijay96/seg2same", "kernel_id": "41056909"}, {"ref": "lumbinighatge/pandasprofiling", "kernel_id": "48114831"}, {"ref": "subbhashit/rs-major-project", "kernel_id": "53746808"}, {"ref": "subbhashit/rs-data-preprocessing", "kernel_id": "54968560"}, {"ref": "gsaihemanthkumar/data-analysis", "kernel_id": "55489566"}, {"ref": "anhphuongtraney/fork-of-bank-product-recommendation-system", "kernel_id": "58100704"}, {"ref": "andrijsagan1989/collaborative-filtering-btb-lb-0-01691", "kernel_id": "68463033"}, {"ref": "annamariiamykhaliak/notebook2dce7271df", "kernel_id": "70400196"}, {"ref": "scipotest/notebook2d71c4c3c6", "kernel_id": "71326376"}, {"ref": "lidiiakharyton/notebookdef5b67b10", "kernel_id": "71068184"}, {"ref": "ivanolishchuk/recsysio", "kernel_id": "71517541"}, {"ref": "abbiirr/santader-2", "kernel_id": "73982333"}, {"ref": "debbiemacrohon/santander-hybrid-recommendation-system", "kernel_id": "74629341"}, {"ref": "abbiirr/santader-3", "kernel_id": "74001697"}, {"ref": "makiyuki/santander-matrix", "kernel_id": "74125982"}, {"ref": "lynn2004/memory-based", "kernel_id": "76955717"}, {"ref": "makiyuki/santander-13-march", "kernel_id": "78448232"}, {"ref": "stubhlal/recommender-test", "kernel_id": "79143459"}, {"ref": "asmaaqandeel/gpu-data-prepare", "kernel_id": "80580020"}, {"ref": "hoangtuanh/eda-featuring", "kernel_id": "81085565"}, {"ref": "tungk292/santander", "kernel_id": "82318553"}, {"ref": "xhk300/phan-tich-eda", "kernel_id": "82916756"}, {"ref": "xhk300/ban-chinh-thuc", "kernel_id": "82704658"}, {"ref": "xhk300/ban-lam-lai", "kernel_id": "83099045"}, {"ref": "fatmaig/memory-based-collaborative-filtering", "kernel_id": "84288020"}, {"ref": "osmansevili/santander-recommendation", "kernel_id": "96914443"}, {"ref": "gamzebabayigit/santanderproductrecom", "kernel_id": "101893612"}, {"ref": "chinizu/ds-final", "kernel_id": "102075974"}, {"ref": "yazhurkevych/notebookbbf4ef159a", "kernel_id": "102257477"}, {"ref": "dmytroklepatskiy/notebook9eec01e0d0", "kernel_id": "103069617"}, {"ref": "bohdanastakhov/notebookb739eae433", "kernel_id": "103790828"}, {"ref": "vyacheslavsnoz/recomendations", "kernel_id": "104551274"}, {"ref": "phmanhth/data-cleaning-and-100k-extraction", "kernel_id": "122346787"}, {"ref": "phmanhth/eda-raw-santander-dataset", "kernel_id": "123665322"}, {"ref": "triplet232/eda-featureengineering", "kernel_id": "128071368"}, {"ref": "triplet232/train-model", "kernel_id": "128182099"}, {"ref": "triplet232/train-model-baseline", "kernel_id": "128756424"}, {"ref": "triplet232/feature-engineer", "kernel_id": "128704713"}, {"ref": "triplet232/eda-dataset", "kernel_id": "128701234"}, {"ref": "triplet232/clean-dataset", "kernel_id": "130389792"}, {"ref": "triplet232/train-model-60-features", "kernel_id": "130522395"}, {"ref": "triplet232/train-multiplier", "kernel_id": "130523212"}, {"ref": "triplet232/train-model-52-features", "kernel_id": "130511501"}, {"ref": "triplet232/master-exhaustive-shap-evaluation", "kernel_id": "131020145"}]}
{"competition_id": "5560", "kernels": []}
{"competition_id": "5562", "kernels": []}
{"competition_id": "5563", "kernels": []}
{"competition_id": "5566", "kernels": []}
{"competition_id": "5568", "kernels": [{"ref": "antgoldbloom/finding-boatids", "kernel_id": "120895"}, {"ref": "antgoldbloom/finding-boatids-c38394c5", "kernel_id": "121374"}, {"ref": "antgoldbloom/finding-boatids-c4fdc548", "kernel_id": "136278"}, {"ref": "csegura/finding-boatids", "kernel_id": "118440"}, {"ref": "klarke/notebook255f740338", "kernel_id": "120264"}, {"ref": "nikolatesla/notebook9de6bf573c", "kernel_id": "148174"}, {"ref": "fongkf/notebookb3d28040f7", "kernel_id": "202071"}, {"ref": "fongkf/notebook5930ee2d66", "kernel_id": "202081"}, {"ref": "leadbest/fish-v3-hdkim", "kernel_id": "146518"}, {"ref": "transfunctioner/fish-keras-forked2", "kernel_id": "159453"}, {"ref": "zaythedatascientist/finding-boatids", "kernel_id": "162403"}, {"ref": "yibochen/marking-heads-and-tails", "kernel_id": "137642"}, {"ref": "vprooks/notebookcffdd89503", "kernel_id": "138945"}, {"ref": "xperzy/notebook6d888e963f", "kernel_id": "122717"}, {"ref": "genghis/notebook17505a04e5", "kernel_id": "118176"}, {"ref": "sepehrakhavan/fish-detection", "kernel_id": "122331"}, {"ref": "icedlee/notebooka4e5b5a680", "kernel_id": "119666"}, {"ref": "fbertrand/notebookf353ce74a7", "kernel_id": "198530"}, {"ref": "satomacoto/notebook18d03bdb5a", "kernel_id": "187033"}, {"ref": "liheact/fish-detection-0cbad36e", "kernel_id": "162412"}, {"ref": "liheact/fish-detection-6078e570", "kernel_id": "162664"}, {"ref": "liheact/fish-detection", "kernel_id": "130995"}, {"ref": "liheact/fish-detection-a334b4cc", "kernel_id": "131002"}, {"ref": "liheact/notebookd860cd45fc", "kernel_id": "126647"}, {"ref": "bxiong/notebookece63d156b", "kernel_id": "151946"}, {"ref": "jlhidalgo/notebook5ee37b97ce", "kernel_id": "118251"}, {"ref": "atlas1j/simple-exploration-notebook-v2-0", "kernel_id": "119364"}, {"ref": "tobikaggle/fish-keras-forked", "kernel_id": "177817"}, {"ref": "sbak11/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "186472"}, {"ref": "asadahamad/fish-detection-39259150", "kernel_id": "151753"}, {"ref": "asadahamad/fish-detection", "kernel_id": "132365"}, {"ref": "sanwork/notebookc9c94607db", "kernel_id": "121276"}, {"ref": "amitkaps/notebookb770aa0363", "kernel_id": "201644"}, {"ref": "nikttt/notebookb4eaf37aba", "kernel_id": "137129"}, {"ref": "julienpantz/notebookd62b7c2843", "kernel_id": "117667"}, {"ref": "titericz/python-test-1", "kernel_id": "191407"}, {"ref": "drpatrickchan/detecting-night-photos", "kernel_id": "138031"}, {"ref": "valadi/fishy-keras-bbb44bjayaram", "kernel_id": "127421"}, {"ref": "valadi/neuro-nerding-out-1-0", "kernel_id": "123613"}, {"ref": "victkid/fishy-keras-lb-1-25267", "kernel_id": "133919"}, {"ref": "miandai/notebook4b61febe51", "kernel_id": "126192"}, {"ref": "vikramnrao/script1", "kernel_id": "227128"}, {"ref": "himanshusinha/notebookc87669ca1e", "kernel_id": "213662"}, {"ref": "himanshusinha/image-segmentation-in-r", "kernel_id": "217854"}, {"ref": "himanshusinha/basic-cnn-in-r", "kernel_id": "219244"}, {"ref": "himanshusinha/testing", "kernel_id": "218551"}, {"ref": "mikeskim/fish-keras-forked-aug", "kernel_id": "221686"}, {"ref": "mikeskim/fish-keras-forked", "kernel_id": "220661"}, {"ref": "mikeskim/fish-keras-forkeda3", "kernel_id": "222528"}, {"ref": "kmader/simple-exploration-notebook-nda-compliant", "kernel_id": "134852"}, {"ref": "healthactuary/notebook48e11f0539", "kernel_id": "180676"}, {"ref": "lawrencechernin/notebook075403a6f1", "kernel_id": "117427"}, {"ref": "clustifier/fish-detection", "kernel_id": "123208"}, {"ref": "clustifier/keras-test", "kernel_id": "177462"}, {"ref": "juandoso/ith-features-extracted-with-a-pretrained-xception", "kernel_id": "224198"}, {"ref": "pranavmodi/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "177905"}, {"ref": "sudalairajkumar/simple-exploration-notebook-v2-0", "kernel_id": "117074"}, {"ref": "sudalairajkumar/simple-exploration-notebook-nda-compliant", "kernel_id": "118060"}, {"ref": "erbolb/notebook0a24096b4e", "kernel_id": "200646"}, {"ref": "nassimzaagoub/hcp-classification", "kernel_id": "130134"}, {"ref": "ijaganjac/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "168554"}, {"ref": "pingofpong/notebook8cd8993d75", "kernel_id": "217963"}, {"ref": "santiagomota/finding-boatids", "kernel_id": "135242"}, {"ref": "ericsaurus/notebook6ffe396f33", "kernel_id": "164088"}, {"ref": "ericsaurus/notebook863e1d642c", "kernel_id": "164094"}, {"ref": "uday1889/mxnet-xgboost-simple-solution", "kernel_id": "117252"}, {"ref": "chbrian/salmon-conservancy-model", "kernel_id": "172207"}, {"ref": "kirk86/keras-w-feature-visualization", "kernel_id": "160423"}, {"ref": "kirk86/bounding-box-regression", "kernel_id": "188344"}, {"ref": "oostopitre/simple-exploration-notebook-v2-0", "kernel_id": "117964"}, {"ref": "search4mahesh/notebook41f3389f63", "kernel_id": "150418"}, {"ref": "agoldgeier/notebookbe7a8aac0c", "kernel_id": "117344"}, {"ref": "jimmykuo/notebook3664502837", "kernel_id": "141593"}, {"ref": "akilaw/test-keras", "kernel_id": "118113"}, {"ref": "akilaw/fishy-keras-lb-1-25267", "kernel_id": "117480"}, {"ref": "akilaw/fish-detection", "kernel_id": "121389"}, {"ref": "donshallow/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "172885"}, {"ref": "sumitl/finding-boatids", "kernel_id": "122036"}, {"ref": "sumitl/detecting-night-photos", "kernel_id": "123040"}, {"ref": "sumitl/fish-detection", "kernel_id": "133821"}, {"ref": "piccolo/hello-keras-cnn-l-b-1-4", "kernel_id": "151654"}, {"ref": "czachor/notebookfbb4fb7301", "kernel_id": "121159"}, {"ref": "kmsingh/notebook1a832fe162", "kernel_id": "153278"}, {"ref": "abualabed/notebookeed9c161fb", "kernel_id": "200495"}, {"ref": "abualabed/notebookd2a332bb39", "kernel_id": "200499"}, {"ref": "abualabed/annotation-for-the-fish-in-the-training-set", "kernel_id": "200501"}, {"ref": "mlwhiz/svm-implementation-for-nature-conservatory", "kernel_id": "149452"}, {"ref": "usixuz/finding-boatids", "kernel_id": "162665"}, {"ref": "yutinglinjack/notebook4f5ac78689", "kernel_id": "122868"}, {"ref": "yutinglinjack/firsttest", "kernel_id": "122869"}, {"ref": "archananan/read-data", "kernel_id": "121315"}, {"ref": "oo7feynman/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "173383"}, {"ref": "kaysuh/notebook0c33a2bd97", "kernel_id": "117467"}, {"ref": "mengjiayuan/notebookf1c482ab81", "kernel_id": "144420"}, {"ref": "mengjiayuan/notebook5f8aaa5be3", "kernel_id": "159409"}, {"ref": "kohani/basket", "kernel_id": "119565"}, {"ref": "kohani/notebookd8f0bdbea1", "kernel_id": "119566"}, {"ref": "ram1angadala/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "147976"}, {"ref": "anhgemus/simple-exploration-notebook-v2-0", "kernel_id": "118000"}, {"ref": "doktorkromann/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "133702"}, {"ref": "gauravpajankar/notebook6172998411", "kernel_id": "123018"}, {"ref": "josephallan/testin123", "kernel_id": "117839"}, {"ref": "hernandezlele/notebook867e8b2594", "kernel_id": "135666"}, {"ref": "nsaurav/finding-boatids", "kernel_id": "118498"}, {"ref": "nceglia/notebookd11c121508", "kernel_id": "134854"}, {"ref": "liangjiaxing/just-for-test", "kernel_id": "124683"}, {"ref": "elguille/simple-exploration-notebook-nda-compliant", "kernel_id": "119132"}, {"ref": "kalpuk/notebook57ea414b15", "kernel_id": "121346"}, {"ref": "ticmacar/fish-detection", "kernel_id": "154774"}, {"ref": "ticmacar/finding-boatids", "kernel_id": "154775"}, {"ref": "ticmacar/svm-implementation-for-nature-conservatory", "kernel_id": "154777"}, {"ref": "ticmacar/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "154778"}, {"ref": "bart8109/notebooke7e6a5e115", "kernel_id": "166530"}, {"ref": "djd0902/test2-r", "kernel_id": "118317"}, {"ref": "dulyanov/simple-exploration-notebook-nda-compliant", "kernel_id": "119856"}, {"ref": "dataion/notebook6403404b3d", "kernel_id": "154267"}, {"ref": "khattab34/notebook54264642bc", "kernel_id": "152433"}, {"ref": "anirudhp/marking-heads-and-tails", "kernel_id": "191211"}, {"ref": "bjassi/notebook7a5f7d1cf1", "kernel_id": "178878"}, {"ref": "thomastilli/simple-exploration-notebook-nda-compliant", "kernel_id": "178359"}, {"ref": "srikant/fishy-keras-lb-1-25267", "kernel_id": "119353"}, {"ref": "srikant/test-keras-sri", "kernel_id": "119074"}, {"ref": "fspeed/test1", "kernel_id": "143055"}, {"ref": "whatevergeek/notebooka663b86475", "kernel_id": "117762"}, {"ref": "arsorathia/notebook84ac0aa544", "kernel_id": "156115"}, {"ref": "arsorathia/testingkernal", "kernel_id": "156745"}, {"ref": "aikinogard/cv2dim", "kernel_id": "118135"}, {"ref": "aikinogard/finding-boatids", "kernel_id": "176964"}, {"ref": "madraziw/123444", "kernel_id": "118536"}, {"ref": "madraziw/222333", "kernel_id": "118537"}, {"ref": "madraziw/notebook7681fbe0b0", "kernel_id": "118538"}, {"ref": "madraziw/notebookbd409a6070", "kernel_id": "118206"}, {"ref": "madraziw/notebook6c1f5ce37c", "kernel_id": "118617"}, {"ref": "madraziw/notebook24355d57aa", "kernel_id": "123633"}, {"ref": "madraziw/notebook22bc46bb3b", "kernel_id": "136530"}, {"ref": "madraziw/fork-of-notebook22bc46bb3b", "kernel_id": "136610"}, {"ref": "mrbarret/notebook1a1b341ce3", "kernel_id": "118022"}, {"ref": "amitchoudhary/fish-v3", "kernel_id": "124084"}, {"ref": "amitchoudhary/fish-v2", "kernel_id": "118150"}, {"ref": "simengy82/finding-boatids", "kernel_id": "174038"}, {"ref": "hacknitish/notebookd6f0f3e012", "kernel_id": "127466"}, {"ref": "snaillians/snail-fish", "kernel_id": "209598"}, {"ref": "jeffhebert/exploring", "kernel_id": "134576"}, {"ref": "nitzee/notebookf43873bc7c", "kernel_id": "141280"}, {"ref": "mzacks/notebook0e0458b509", "kernel_id": "217795"}, {"ref": "evertonsilva/clustering-boat", "kernel_id": "120956"}, {"ref": "evertonsilva/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "121936"}, {"ref": "ankitmalik/notebookcc9c7e10aa", "kernel_id": "122195"}, {"ref": "magili1022/ban1st-py", "kernel_id": "152643"}, {"ref": "hakanitu56/fishy-neighbors-knn-solution-log-loss-1-65074", "kernel_id": "193213"}, {"ref": "minoad/scratch", "kernel_id": "142357"}, {"ref": "minoad/dsfsdf", "kernel_id": "142367"}, {"ref": "firhatnawfanhilmanda/identification", "kernel_id": "118933"}, {"ref": "ch11yx/notebooka431b3bf82", "kernel_id": "127528"}, {"ref": "ch11yx/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "154630"}, {"ref": "floatlizi/notebookacbc84af84", "kernel_id": "117458"}, {"ref": "konglq/tricks-for-the-kaggle-leaderboard-0e288c", "kernel_id": "233978"}, {"ref": "sreeanalytics/notebooka7546fe4bf", "kernel_id": "152454"}, {"ref": "yuqingxue/fishy-keras-bbb44b", "kernel_id": "128864"}, {"ref": "markpeng/starter-code-test", "kernel_id": "211193"}, {"ref": "markpeng/keras-kfold-2nd-stage", "kernel_id": "225496"}, {"ref": "shanzi/fishy-keras-lb-1-25267", "kernel_id": "122544"}, {"ref": "william007/notebook9e6903fe24", "kernel_id": "204215"}, {"ref": "lyysdy/test1", "kernel_id": "120725"}, {"ref": "lyysdy/notebook31c3f8ed90", "kernel_id": "120726"}, {"ref": "hhsieh/notebook2bd13f0504", "kernel_id": "121311"}, {"ref": "tmfukui/notebook21c6741148", "kernel_id": "121213"}, {"ref": "tmfukui/notebook34899e53f8", "kernel_id": "120736"}, {"ref": "malr87/keras-cnn-test", "kernel_id": "148411"}, {"ref": "crazysona/notebookbd7a0ec255", "kernel_id": "202777"}, {"ref": "crazysona/fish-extract", "kernel_id": "205935"}, {"ref": "darraghdog/local-validation-set", "kernel_id": "219479"}, {"ref": "kuggler/finding-boatids", "kernel_id": "140867"}, {"ref": "infomativearchitect/notebook48555cea17", "kernel_id": "213769"}, {"ref": "greenmtn/bm-1-25", "kernel_id": "185783"}, {"ref": "runshengsong/tensorflow-study-3", "kernel_id": "217234"}, {"ref": "febinsathar/finding-boatids", "kernel_id": "118411"}, {"ref": "threecourse/finding-boatids", "kernel_id": "117969"}, {"ref": "carrutstick/notebookdd1a1280ff", "kernel_id": "123368"}, {"ref": "kapetis/fffff", "kernel_id": "147476"}, {"ref": "kapetis/test123", "kernel_id": "147481"}, {"ref": "allaboutdata/simple-exploration-notebook-v2-0", "kernel_id": "120705"}, {"ref": "spattigilli/notebook7a974d7fe0", "kernel_id": "124988"}, {"ref": "spattigilli/notebookc4ba945c98", "kernel_id": "117992"}, {"ref": "spattigilli/first-experiment", "kernel_id": "118483"}, {"ref": "spattigilli/first-pass", "kernel_id": "118155"}, {"ref": "cosmogeek/notebook4e87c1cf98", "kernel_id": "138273"}, {"ref": "jdurand/notebookae179aae44", "kernel_id": "149901"}, {"ref": "riccardosamperna/finding-boatids", "kernel_id": "185332"}, {"ref": "riccardosamperna/finding-boatids-3ec084", "kernel_id": "185333"}, {"ref": "srimanta/notebookb33de3df40", "kernel_id": "203510"}, {"ref": "srimanta/notebookdf89331c59", "kernel_id": "203512"}, {"ref": "michielstock/notebookc8133a60ad", "kernel_id": "156895"}, {"ref": "swedrf0112/notebookc39cc78a1b", "kernel_id": "226437"}, {"ref": "sohaibali/first-base-script", "kernel_id": "117617"}, {"ref": "kartikpadmanabhan/notebook4910b8927e", "kernel_id": "157717"}, {"ref": "adooba/finding-boatids", "kernel_id": "121145"}, {"ref": "adooba/finding-boatids-4be39b78", "kernel_id": "121154"}, {"ref": "adooba/finding-boatids-25bc4368", "kernel_id": "121629"}, {"ref": "vipink21/notebookca511748cd", "kernel_id": "194818"}, {"ref": "pavelakapian/finding-boatids", "kernel_id": "118292"}, {"ref": "infinitemonkeybelief/finding-boatids", "kernel_id": "117818"}, {"ref": "adrianrey7/notebooke5435983c1", "kernel_id": "140716"}, {"ref": "franckjay/fish-are-friends-not-food", "kernel_id": "117741"}, {"ref": "chrispytorius/notebook28553811d2", "kernel_id": "119937"}, {"ref": "xingyang/show-me-the-fishes-object-localization-with-cnn", "kernel_id": "210921"}, {"ref": "kotobot/notebookbff09f934b", "kernel_id": "126773"}, {"ref": "pbkaran/notebook5c45845008", "kernel_id": "136512"}, {"ref": "hansolo/fishy-keras-lb-1-25267", "kernel_id": "162216"}, {"ref": "ivanl1/fish-detection-487e15e2", "kernel_id": "163425"}, {"ref": "ivanl1/fish-detection", "kernel_id": "163302"}, {"ref": "ivanl1/fish-detection-a12d57fe", "kernel_id": "163305"}, {"ref": "speedoheck/finding-boatids", "kernel_id": "146404"}, {"ref": "rais137123/notebookf872adcc8e", "kernel_id": "220288"}, {"ref": "hemantime/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "123167"}, {"ref": "orange15/notebook6d2400896e", "kernel_id": "117679"}, {"ref": "ionkle/notebook3596a6c5c7", "kernel_id": "221958"}, {"ref": "sokian/keras-cnn-example-49ac5986", "kernel_id": "152569"}, {"ref": "sokian/keras-cnn-example", "kernel_id": "152563"}, {"ref": "sylvaind/notebookae4858f3d8", "kernel_id": "151571"}, {"ref": "sylvaind/notebook7ea891af29", "kernel_id": "151819"}, {"ref": "sylvaind/notebook281119812a", "kernel_id": "149332"}, {"ref": "carloshuertas/notebookb8a6617158", "kernel_id": "122224"}, {"ref": "kanabo/finding-boatids-using-pca-k-means", "kernel_id": "171299"}, {"ref": "kanabo/finding-boatids", "kernel_id": "170662"}, {"ref": "kanabo/fish-detection", "kernel_id": "170667"}, {"ref": "kanabo/fish-detection-1845cafb", "kernel_id": "170668"}, {"ref": "vdpappu/notebookcec4189da1", "kernel_id": "119525"}, {"ref": "ikbuzsak/fish-detection", "kernel_id": "129406"}, {"ref": "akhileshsk/notebook07a38e7bc0", "kernel_id": "136234"}, {"ref": "akhileshsk/fish-tf", "kernel_id": "135769"}, {"ref": "shailjathakur/fork-of-deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "118644"}, {"ref": "shailjathakur/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "118201"}, {"ref": "shailjathakur/fishy-keras", "kernel_id": "118192"}, {"ref": "shailjathakur/notebooka091e17713", "kernel_id": "124088"}, {"ref": "shailjathakur/finding-boatids", "kernel_id": "124091"}, {"ref": "erlend/finding-boatids", "kernel_id": "119782"}, {"ref": "thegkiwi/the-nature-conservancy-fisheries-monitoring", "kernel_id": "150328"}, {"ref": "sivam0409/notebook27753fad0a", "kernel_id": "205445"}, {"ref": "degree2space/notebook4fdb30dc2c", "kernel_id": "138561"}, {"ref": "articblue/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "117448"}, {"ref": "thuyenvn/notebook8fced71060", "kernel_id": "125625"}, {"ref": "billwang/keras-cnn", "kernel_id": "211959"}, {"ref": "ubsingh9/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "168513"}, {"ref": "catherineh/notebook815f116126", "kernel_id": "121749"}, {"ref": "catherineh/notebookd28bb2abd7", "kernel_id": "121714"}, {"ref": "pamdirac/notebook4f35221188", "kernel_id": "123340"}, {"ref": "janina/notebookd3bdefa89f", "kernel_id": "135842"}, {"ref": "atreo1/notebook48b3172752", "kernel_id": "125354"}, {"ref": "reshreat/naive", "kernel_id": "244339"}, {"ref": "jrsskumard/notebookc836401615", "kernel_id": "123132"}, {"ref": "jrsskumard/notebook1bcfcc28ac", "kernel_id": "123127"}, {"ref": "krsnewwave/exploring-the-dataset", "kernel_id": "120107"}, {"ref": "arunreddy/notebook8874ce7414", "kernel_id": "140817"}, {"ref": "pishbin/finding-boatids", "kernel_id": "117689"}, {"ref": "bitsofbits/notebooka0eb8f31fc", "kernel_id": "135446"}, {"ref": "aesnau/fishy-keras-bbb44b", "kernel_id": "123935"}, {"ref": "sumanth1211/fish-keras", "kernel_id": "158296"}, {"ref": "sumanth1211/notebook8325ddba2d", "kernel_id": "157596"}, {"ref": "sumanth1211/fish-yolo", "kernel_id": "157600"}, {"ref": "shuangwu/notebook03a44e7aff", "kernel_id": "132777"}, {"ref": "shuangwu/notebook53df88a835", "kernel_id": "184266"}, {"ref": "shuangwu/notebookf1346c232a", "kernel_id": "154791"}, {"ref": "shuangwu/have-a-try", "kernel_id": "154792"}, {"ref": "shuangwu/first-trial-1", "kernel_id": "154794"}, {"ref": "shuangwu/notebook61666aa62d", "kernel_id": "153193"}, {"ref": "cinnabon/notebook6acde5d053", "kernel_id": "141973"}, {"ref": "shakos/fishy-keras-lb-1-25267", "kernel_id": "212501"}, {"ref": "shakos/notebook3c79509669", "kernel_id": "212491"}, {"ref": "shakos/notebookc6def2f8c0", "kernel_id": "218202"}, {"ref": "nickyong/notebook3ab0b72803", "kernel_id": "156088"}, {"ref": "machine/fishy-keras-lb-1-25267", "kernel_id": "212204"}, {"ref": "satishjasthi/notebook36ccbbad4b", "kernel_id": "242984"}, {"ref": "satishjasthi/notebook79a946a4cc", "kernel_id": "242979"}, {"ref": "satishjasthi/notebook9888278aad", "kernel_id": "245266"}, {"ref": "satishjasthi/deep-learning-to-save-tuna", "kernel_id": "245273"}, {"ref": "megalitum/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "122485"}, {"ref": "zhaoyuan1209/notebooked09adb35d", "kernel_id": "133016"}, {"ref": "sipan17/notebook19dc9d60c6", "kernel_id": "125294"}, {"ref": "alyosama/fish-classifier-for-fisheries-monitoring", "kernel_id": "117626"}, {"ref": "lilythedataprincess/notebook995e2e0537", "kernel_id": "209932"}, {"ref": "baptisteojeanson/finding-boatids", "kernel_id": "161752"}, {"ref": "baptisteojeanson/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "171380"}, {"ref": "kretes/duplicate-and-similar-images", "kernel_id": "118660"}, {"ref": "teemuk/finding-boatids", "kernel_id": "135909"}, {"ref": "eazysmiles/notebooka592512edc", "kernel_id": "119401"}, {"ref": "jamespyne/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "196948"}, {"ref": "mtfall/notebook532d39532b", "kernel_id": "124045"}, {"ref": "thedark/notebook8733ef3c14", "kernel_id": "189469"}, {"ref": "vanausloos/deep-forest-1-4-public-log-loss-with-1-5-data", "kernel_id": "222950"}, {"ref": "vanausloos/fishy-keras-lb-1-25267-xavier", "kernel_id": "222940"}, {"ref": "vanausloos/neuro-nerding-out-1-0", "kernel_id": "204372"}, {"ref": "vince59/notebook2f5bb10a27", "kernel_id": "180948"}, {"ref": "ferris/notebookeb83ceaf5f", "kernel_id": "185103"}, {"ref": "kylejshaffer/cnn-script", "kernel_id": "117533"}, {"ref": "kraglemylego/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "150246"}, {"ref": "kraglemylego/notebook06ebfbca10", "kernel_id": "152151"}, {"ref": "tayfurr/fishy-keras-lb-1-25267", "kernel_id": "119736"}, {"ref": "binksbiz/finding-boatids", "kernel_id": "119766"}, {"ref": "rsalaschile/rs20161210", "kernel_id": "133756"}, {"ref": "rsalaschile/fishy-keras-bbb44bazsxdfghj", "kernel_id": "133861"}, {"ref": "rsalaschile/fishy-keras-lb-1-25267", "kernel_id": "120648"}, {"ref": "rsalaschile/marking-heads-and-tailsjghjghg", "kernel_id": "122181"}, {"ref": "rsalaschile/fishy-keras-asdadslb-1-25267", "kernel_id": "121275"}, {"ref": "rsalaschile/rs-201701132", "kernel_id": "159353"}, {"ref": "chechir/fish-keras-forked-forked", "kernel_id": "157686"}, {"ref": "randxie/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "133980"}, {"ref": "ather123/exploring-data-set", "kernel_id": "124996"}, {"ref": "ather123/notebook43e5f80572", "kernel_id": "124997"}, {"ref": "anthonyyeo/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "126297"}, {"ref": "krrish1729/meena-ai", "kernel_id": "117840"}, {"ref": "kentsedoro/crop-fishes", "kernel_id": "216654"}, {"ref": "tebzito/finding-boatids", "kernel_id": "118249"}, {"ref": "tebzito/fish-keras", "kernel_id": "158347"}, {"ref": "saurabhmathur96/notebookc45baf83ce", "kernel_id": "140803"}, {"ref": "kevinpan/finding-boatids-fork", "kernel_id": "135602"}, {"ref": "rentzso/notebook5ffa508d02", "kernel_id": "165923"}, {"ref": "fangorn/finding-boatids", "kernel_id": "167725"}, {"ref": "chikenfeet/notebook63416e3c31", "kernel_id": "157934"}, {"ref": "nitsourish/keras-py", "kernel_id": "190651"}, {"ref": "nitsourish/notebook0c538e13de", "kernel_id": "190637"}, {"ref": "riverliu/notebook52170503d0", "kernel_id": "203475"}, {"ref": "binhuang/fish-detection", "kernel_id": "132112"}, {"ref": "insikk/testtt", "kernel_id": "127406"}, {"ref": "blackcore/fish-keras-test", "kernel_id": "146850"}, {"ref": "blackcore/keras-test", "kernel_id": "146843"}, {"ref": "blackcore/keras-w-feature-visualization", "kernel_id": "155881"}, {"ref": "blackcore/duplicate-and-similar-images", "kernel_id": "155883"}, {"ref": "blackcore/finding-boatids", "kernel_id": "155870"}, {"ref": "kishensurajp/fish-detection", "kernel_id": "155654"}, {"ref": "hnkryden/notebookb66b4d964f", "kernel_id": "194401"}, {"ref": "openneuron/test-keras", "kernel_id": "118462"}, {"ref": "openneuron/fishy-keras-lb-1-25267", "kernel_id": "119944"}, {"ref": "openneuron/fishy-keras-test", "kernel_id": "122691"}, {"ref": "tuandobrandeis/fishy-keras-lb-1-25267", "kernel_id": "117362"}, {"ref": "t36li1990/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "119515"}, {"ref": "maver1ck/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "176208"}, {"ref": "maver1ck/svm-implementation-for-nature-conservatory", "kernel_id": "176211"}, {"ref": "tmhughes/finding-boatids", "kernel_id": "167964"}, {"ref": "anjithgeorge/fish-detection", "kernel_id": "124359"}, {"ref": "anjithgeorge/notebookf2ab6c7e91", "kernel_id": "125288"}, {"ref": "ranarag/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "117539"}, {"ref": "ranarag/simple-exploration-notebook", "kernel_id": "117595"}, {"ref": "subarnarana1/notebookdb3d9c61e5", "kernel_id": "221838"}, {"ref": "subarnarana1/fishy-keras-lb-1-25267", "kernel_id": "231985"}, {"ref": "cornercity/notebook1c504df6b7", "kernel_id": "117446"}, {"ref": "kbanala/notebookf900f2565e", "kernel_id": "178240"}, {"ref": "ser080/finding-boatids-94ef3e22", "kernel_id": "132594"}, {"ref": "ser080/fish-detection", "kernel_id": "131775"}, {"ref": "ser080/finding-boatids", "kernel_id": "131779"}, {"ref": "ser080/simple-exploration-notebook-nda-compliant", "kernel_id": "133375"}, {"ref": "ser080/simple-exploration-notebook", "kernel_id": "117429"}, {"ref": "ser080/duplicate-and-similar-images-6500eea2", "kernel_id": "142593"}, {"ref": "ser080/duplicate-and-similar-images", "kernel_id": "137304"}, {"ref": "ugomar/data-exploration", "kernel_id": "194865"}, {"ref": "gnudreamer/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "129591"}, {"ref": "gnudreamer/fish-detection", "kernel_id": "129572"}, {"ref": "gnudreamer/hello-kaggle-script", "kernel_id": "128762"}, {"ref": "nicosia1/fish-detection", "kernel_id": "125312"}, {"ref": "keldlundgaard/simple-exploration-notebook-nda-compliant", "kernel_id": "118446"}, {"ref": "keldlundgaard/notebook63b6613031", "kernel_id": "119475"}, {"ref": "xylophone234/hello-keras-cnn-l-b-1-4-cc64ad57", "kernel_id": "179768"}, {"ref": "xylophone234/notebook17479539fa", "kernel_id": "178234"}, {"ref": "xylophone234/notebook8aa55cce46", "kernel_id": "178200"}, {"ref": "xylophone234/hello-keras-cnn-l-b-1-4", "kernel_id": "178265"}, {"ref": "owise83/fishy-keras-lb-1-25267", "kernel_id": "145592"}, {"ref": "warp07/notebookec6b9e75b1", "kernel_id": "117783"}, {"ref": "jude2013/notebook7c999b4496", "kernel_id": "119211"}, {"ref": "jude2013/notebookecf09509b5", "kernel_id": "119195"}, {"ref": "siyaozheng/notebookd9b2b0b201", "kernel_id": "129516"}, {"ref": "manojreddy28/fish-detection", "kernel_id": "121636"}, {"ref": "smusali/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "118074"}, {"ref": "inhochoi/notebook46891a0ee9", "kernel_id": "153407"}, {"ref": "pratapdangeti/notebook54ddc277bf", "kernel_id": "120086"}, {"ref": "wyq136/notebook5e5d4cacd2", "kernel_id": "153231"}, {"ref": "wyq136/mytest", "kernel_id": "153234"}, {"ref": "sillson/notebooke04d8788f5", "kernel_id": "117364"}, {"ref": "qiubit/detecting-night-photos", "kernel_id": "120148"}, {"ref": "qiubit/crop-fish", "kernel_id": "122138"}, {"ref": "ay1011/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "122842"}, {"ref": "stjordanis/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "125024"}, {"ref": "uyuutosa/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "153387"}, {"ref": "uyuutosa/notebook5e47a8569c", "kernel_id": "145041"}, {"ref": "arpanm/notebookdb733f0bcd", "kernel_id": "117687"}, {"ref": "samurai618/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "118212"}, {"ref": "stuartfarmer/notebook8689783d4e", "kernel_id": "183685"}, {"ref": "ekenel/notebook113d99b233", "kernel_id": "139672"}, {"ref": "chabir/fish-keras-forked2", "kernel_id": "180390"}, {"ref": "jacekkrawiec/notebook4f88747af5", "kernel_id": "117618"}, {"ref": "ralf07/simple-exploration-notebook", "kernel_id": "117549"}, {"ref": "ralf07/notebooke26fab0f9d", "kernel_id": "117704"}, {"ref": "kaushiknuvvula/notebook9063aecc92", "kernel_id": "124867"}, {"ref": "zsemenov/notebookb16042d32a", "kernel_id": "222362"}, {"ref": "passionofml/notebook414d99f92a", "kernel_id": "140644"}, {"ref": "littlewat/notebook8ee328eb07", "kernel_id": "122079"}, {"ref": "janpreets/notebook5efd3b03cc", "kernel_id": "132953"}, {"ref": "janpreets/fishy-keras-lb-1-25267", "kernel_id": "121803"}, {"ref": "apapiu/simple-exploration-notebook", "kernel_id": "117374"}, {"ref": "muelerma/notebookcee78ee5b7", "kernel_id": "149358"}, {"ref": "beletecheneke/fish-keras-forked", "kernel_id": "220653"}, {"ref": "xwzy66/notebookec0857b5aa", "kernel_id": "133650"}, {"ref": "justidan/notebookf667a74737", "kernel_id": "152727"}, {"ref": "justidan/notebook52adec3956", "kernel_id": "152728"}, {"ref": "aadilh/simple-exploration-notebook-nda-compliant", "kernel_id": "119178"}, {"ref": "jeffreyroshan/first-test", "kernel_id": "120561"}, {"ref": "dumbris/fishy-keras-lb-1-25267", "kernel_id": "228024"}, {"ref": "drn01z3/notebooka2336a0ec3", "kernel_id": "117151"}, {"ref": "drn01z3/mxnet-xgboost-simple-solution", "kernel_id": "117229"}, {"ref": "simonchin/notebook2a1a7ac2e0", "kernel_id": "135632"}, {"ref": "gudunku/fishy-keras-lb-1-25267", "kernel_id": "117700"}, {"ref": "gudunku/fish-keras-test", "kernel_id": "148001"}, {"ref": "kqdmqx/finding-boatids", "kernel_id": "159067"}, {"ref": "kqdmqx/fishy-keras-lb-1-25267", "kernel_id": "121914"}, {"ref": "tangminer/notebook17e0a05aad", "kernel_id": "148243"}, {"ref": "seancollins/notebook44d3b21dc5", "kernel_id": "125455"}, {"ref": "shreemoyee/sona1", "kernel_id": "144323"}, {"ref": "debasmitdas/python", "kernel_id": "131712"}, {"ref": "satosato/notebook7024a4d16a", "kernel_id": "206204"}, {"ref": "kaka6599/notebooka3dd488275", "kernel_id": "185805"}, {"ref": "kaka6599/notebook8749e821fc", "kernel_id": "178257"}, {"ref": "kaka6599/notebook19efd37550", "kernel_id": "178477"}, {"ref": "sbrugman/tricks-for-the-kaggle-leaderboard", "kernel_id": "225079"}, {"ref": "berset/fish-keras-forked", "kernel_id": "152977"}, {"ref": "enemis/notebook067978aa80", "kernel_id": "184303"}, {"ref": "autoliuweijie/notebook04bbe8514b", "kernel_id": "129992"}, {"ref": "autoliuweijie/notebook7ba45eaa60", "kernel_id": "132152"}, {"ref": "autoliuweijie/notebook7114571f77", "kernel_id": "133665"}, {"ref": "raiderx/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "148400"}, {"ref": "paurichardson/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "117454"}, {"ref": "mikky1996/fish-detection", "kernel_id": "138420"}, {"ref": "alexeylive/a5a5a", "kernel_id": "229762"}, {"ref": "xiaobaiml/notebook2ebcb549ff", "kernel_id": "133382"}, {"ref": "noonv13/fishy-keras-lb-1-25267", "kernel_id": "228011"}, {"ref": "tudoux/notebookc32d57a918", "kernel_id": "140569"}, {"ref": "centaur/notebook7b59ba38c3", "kernel_id": "171067"}, {"ref": "centaur/notebooka4ed5420c0", "kernel_id": "118236"}, {"ref": "asogani/notebookcfc51e881d", "kernel_id": "217087"}, {"ref": "asogani/notebooke1fe5e4846", "kernel_id": "217093"}, {"ref": "phani792/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "120020"}, {"ref": "nrcjea001/notebookfa52f30acd", "kernel_id": "218265"}, {"ref": "stokesjd/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "130703"}, {"ref": "stokesjd/deep-learning-in-the-deep-blue-lb-1-279-59a44aca", "kernel_id": "130704"}, {"ref": "ericwang915/simple-file-to-average-different-submissions", "kernel_id": "149173"}, {"ref": "ericwang915/notebook9ea178fcee", "kernel_id": "138928"}, {"ref": "jianchengyang/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "118102"}, {"ref": "jianchengyang/fishy-keras-lb-1-25267", "kernel_id": "134807"}, {"ref": "qq9213073/notebook72eb9085b4", "kernel_id": "211291"}, {"ref": "craigglastonbury/perfect-nof-recall", "kernel_id": "170080"}, {"ref": "craigglastonbury/using-inceptionv3-features-svm-classifier", "kernel_id": "163386"}, {"ref": "danieleewww/fishy-keras", "kernel_id": "117987"}, {"ref": "danieleewww/fishy-keras-cnn16-3-3", "kernel_id": "118480"}, {"ref": "danieleewww/fishy-keras-add-16-3-3-cnn", "kernel_id": "118476"}, {"ref": "danieleewww/test-keras-16cnn-42x42", "kernel_id": "120983"}, {"ref": "danieleewww/fishy-keras-rs123456-adam-lr0001-ep1e05-nbe40-bs36", "kernel_id": "119700"}, {"ref": "danieleewww/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "119051"}, {"ref": "danieleewww/neuro-nerding-out-1-0", "kernel_id": "132895"}, {"ref": "danieleewww/fishy-keras-lb-1-25267-1", "kernel_id": "164858"}, {"ref": "danieleewww/fish-keras-test-nesterov-dropout032", "kernel_id": "153023"}, {"ref": "xmyqsh/notebookf2badb9863", "kernel_id": "138355"}, {"ref": "fimalyst/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "119249"}, {"ref": "wafanakbi/fishy-keras-lb-1-25267", "kernel_id": "193394"}, {"ref": "datahww/fish-detection", "kernel_id": "146372"}, {"ref": "gaohong/notebook0c628b5f6c", "kernel_id": "121058"}, {"ref": "pankajvshrma/fishy-keras-bbb44b", "kernel_id": "122047"}, {"ref": "pankajvshrma/simple-exploration-notebook-nda-compliant", "kernel_id": "121575"}, {"ref": "pankajvshrma/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "121077"}, {"ref": "narae78/simple-exploration-notebook-v2-0", "kernel_id": "117893"}, {"ref": "narae78/fork-of-fish-detection", "kernel_id": "121172"}, {"ref": "narae78/fish-detection", "kernel_id": "121169"}, {"ref": "narae78/finding-boatids", "kernel_id": "124118"}, {"ref": "zfturbo/notebook2dd1eba90d", "kernel_id": "120531"}, {"ref": "zfturbo/fishy-keras-lb-1-25267", "kernel_id": "117139"}, {"ref": "janmejay/notebook3a13d038f9", "kernel_id": "136122"}, {"ref": "faizankarim2/try-1-1", "kernel_id": "165951"}, {"ref": "akaakaaka/notebookf91e4c7d37", "kernel_id": "117408"}, {"ref": "masoudkaviani/mytestnotbook", "kernel_id": "124981"}, {"ref": "masoudkaviani/fish-detection", "kernel_id": "126429"}, {"ref": "masoudkaviani/my-first-job", "kernel_id": "125808"}, {"ref": "imatti/notebook4ad12a2b70", "kernel_id": "126459"}, {"ref": "sjoly123/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "154446"}, {"ref": "cbjorgol/notebook9c385896cc", "kernel_id": "225297"}, {"ref": "rspadim/nn-kernel-1", "kernel_id": "215000"}, {"ref": "rspadim/notebookdf60579c51", "kernel_id": "123022"}, {"ref": "andymarsden100/notebook541eed85c8", "kernel_id": "155105"}, {"ref": "submagr/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "166311"}, {"ref": "submagr/finding-boatids", "kernel_id": "161735"}, {"ref": "waqassheikh/abcd5", "kernel_id": "122694"}, {"ref": "waqassheikh/notebookc04b7ef5a7", "kernel_id": "122695"}, {"ref": "tanyouweismile/finding-boatids", "kernel_id": "123670"}, {"ref": "vrporwal/fish-detection", "kernel_id": "126230"}, {"ref": "minhup/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "117627"}, {"ref": "gregoryfh/notebook17f9a079ba", "kernel_id": "204997"}, {"ref": "somshubramajumdar/fishy-keras-lb-1-25267", "kernel_id": "119209"}, {"ref": "umeshks/fish-detection", "kernel_id": "163049"}, {"ref": "umeshks/finding-boatids", "kernel_id": "162995"}, {"ref": "taoufik/fishy-keras-lb-1-25267", "kernel_id": "119244"}, {"ref": "nikhil2008v/notebookbbd446babd", "kernel_id": "198422"}, {"ref": "nikhil2008v/notebook9d06ea6a8d", "kernel_id": "184585"}, {"ref": "nikhil2008v/keras-test-stage2", "kernel_id": "229015"}, {"ref": "nikhil2008v/vv-test", "kernel_id": "214908"}, {"ref": "shinjjo/notebookc6cc63b014", "kernel_id": "121815"}, {"ref": "maxdebawede/notebooke9a14ff88a", "kernel_id": "117941"}, {"ref": "kjacks21/notebooke590cf199c", "kernel_id": "134358"}, {"ref": "kjacks21/cs584-wrkbook", "kernel_id": "134031"}, {"ref": "kjacks21/fishy-keras-lb-1-25267", "kernel_id": "134052"}, {"ref": "kjacks21/cs584-notebook", "kernel_id": "134043"}, {"ref": "hingneabhishek/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "167517"}, {"ref": "arjoonn/scout-script-8", "kernel_id": "117424"}, {"ref": "sunglasses1011/notebook6d80a865bd", "kernel_id": "263503"}, {"ref": "lizhenxing/fishdetection1-py", "kernel_id": "134800"}, {"ref": "lizhenxing/fishdetection-py", "kernel_id": "134792"}, {"ref": "lizhenxing/notebook3c6be2e59d", "kernel_id": "129290"}, {"ref": "dollardollar/validation-strategy-through-vgg-clusters", "kernel_id": "163662"}, {"ref": "dollardollar/validation-split-via-vgg-based-clustering", "kernel_id": "163678"}, {"ref": "dollardollar/finding-boatids-using-pca-k-means", "kernel_id": "168198"}, {"ref": "codemukul95/notebook2c1fd0347f", "kernel_id": "146682"}, {"ref": "buzfifer/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "117934"}, {"ref": "buzfifer/deep-learning-in-the-deep-blue-lb-1-279-9183a6fe", "kernel_id": "128293"}, {"ref": "reasat/notebookdf959cf52a", "kernel_id": "207966"}, {"ref": "reasat/notebook75c2bb520e", "kernel_id": "202139"}, {"ref": "reasat/notebook2f09b42c74", "kernel_id": "202141"}, {"ref": "reasat/notebook9802a71096", "kernel_id": "198097"}, {"ref": "prateekbhat/keras-test", "kernel_id": "121780"}, {"ref": "muxiaoqing/mytest", "kernel_id": "155379"}, {"ref": "muxiaoqing/notebooka68eefe43a", "kernel_id": "155375"}, {"ref": "joshuavk/notebook5dd01f6a08", "kernel_id": "179371"}, {"ref": "anokas/notebook20160041a6", "kernel_id": "117589"}, {"ref": "anokas/finding-boatids", "kernel_id": "117575"}, {"ref": "anokas/notebook4c45b828cc", "kernel_id": "117272"}, {"ref": "anokas/btb-in-12-lines-lb-1-43", "kernel_id": "117315"}, {"ref": "iluguev/notebooke3a0e7488b", "kernel_id": "144131"}, {"ref": "mingu600/fish-classification", "kernel_id": "122620"}, {"ref": "martinnasse/svm-implementation-for-nature-conservatory", "kernel_id": "147720"}, {"ref": "timmmy/test-keras", "kernel_id": "121146"}, {"ref": "timmmy/notebook24bcce43ae", "kernel_id": "118519"}, {"ref": "galoshri/notebook058fc8b137", "kernel_id": "190205"}, {"ref": "rishikksh20/notebook287a85ff4b", "kernel_id": "173991"}, {"ref": "namiyao/notebook22d2fafdbd", "kernel_id": "125290"}, {"ref": "fabsod/notebook1f17ea7e7a", "kernel_id": "230434"}, {"ref": "poigal/notebook230e223c83", "kernel_id": "118248"}, {"ref": "kseniyam/test1", "kernel_id": "194118"}, {"ref": "kseniyam/test2", "kernel_id": "194121"}, {"ref": "giranntu/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "141923"}, {"ref": "epawlakos/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "168307"}, {"ref": "hemanthappala/finding-boatids", "kernel_id": "182461"}, {"ref": "carly88/svm-implementation-for-nature-conservatory", "kernel_id": "177958"}, {"ref": "carly88/notebook1400859434", "kernel_id": "177687"}, {"ref": "carly88/fish-keras-forked", "kernel_id": "204126"}, {"ref": "carly88/fishy-keras-forked", "kernel_id": "203700"}, {"ref": "ericrlau/nature-conserv-nb1", "kernel_id": "154453"}, {"ref": "airiaddy/notebook233dd9f1d5", "kernel_id": "152375"}, {"ref": "andriy768/notebook789965d10b", "kernel_id": "144030"}, {"ref": "bsparks/test-notebook", "kernel_id": "131336"}, {"ref": "gtrimarc/simple-exploration-notebook-nda-compliant", "kernel_id": "175505"}, {"ref": "aagundez/notebook80b1adaeba", "kernel_id": "226162"}, {"ref": "aagundez/notebook9f86e8a6b3", "kernel_id": "226163"}, {"ref": "ahmedgehad/notebooke4c33f9b97", "kernel_id": "163552"}, {"ref": "leohemamou/notebook44922802d7", "kernel_id": "117052"}, {"ref": "osmanh/notebook76d84a13fb", "kernel_id": "211947"}, {"ref": "chrisg1622/finding-boatids", "kernel_id": "186576"}, {"ref": "nikszejna/notebook64291f6b22", "kernel_id": "192649"}, {"ref": "clifflin/notebook10d3785667", "kernel_id": "136760"}, {"ref": "clifflin/test-kaggle", "kernel_id": "136785"}, {"ref": "w1305222/fishy-keras-lb-1-25267", "kernel_id": "213427"}, {"ref": "aakashnain/finding-boatids", "kernel_id": "117619"}, {"ref": "abundance/simple-exploration-notebook-nda-compliant", "kernel_id": "120160"}, {"ref": "gabrieldemarmiesse/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "124999"}, {"ref": "gabrieldemarmiesse/finding-boatids", "kernel_id": "134291"}, {"ref": "gabrieldemarmiesse/heatmap-to-find-fishes-keras", "kernel_id": "146290"}, {"ref": "knowidea/notebooke9b1142a50", "kernel_id": "117661"}, {"ref": "davidstein65/lkjlu", "kernel_id": "153477"}, {"ref": "donnaskyland/notebook2904886b86", "kernel_id": "228348"}, {"ref": "kawaskii/notebook1abf3f596c", "kernel_id": "121892"}, {"ref": "minto4644/notebook0a845965aa", "kernel_id": "169793"}, {"ref": "sroziews/teest", "kernel_id": "201047"}, {"ref": "sroziews/notebookddd569d31e", "kernel_id": "201055"}, {"ref": "sekrier/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "117588"}, {"ref": "sekrier/fish-keras-forked2", "kernel_id": "207773"}, {"ref": "hhllcks/keras", "kernel_id": "136227"}, {"ref": "tonosan/notebook310ae0a889", "kernel_id": "132519"}, {"ref": "tonosan/fishing-preparing", "kernel_id": "132503"}, {"ref": "bhavishya235/notebookcd4bf11ab1", "kernel_id": "121806"}, {"ref": "infusion/finding-boatids", "kernel_id": "120551"}, {"ref": "infusion/bare-basic-exploratory-notebook", "kernel_id": "120681"}, {"ref": "infusion/notebook49e62131a1", "kernel_id": "118731"}, {"ref": "yaggle/notebooke6fdaec362", "kernel_id": "126457"}, {"ref": "maxime01/notebookb07d871291", "kernel_id": "132374"}, {"ref": "jatinjansari/fishy-keras-lb-1-25267-jansari", "kernel_id": "214839"}, {"ref": "jatinjansari/deep-forest-1-4-public-log-loss-with-1-5-d-b1696e", "kernel_id": "221911"}, {"ref": "jatinjansari/notebook74b108851f", "kernel_id": "167666"}, {"ref": "shuxinwanggt/notebookfaec54bb6e", "kernel_id": "136166"}, {"ref": "nirupamkar/dummy-run-1", "kernel_id": "130623"}, {"ref": "nirupamkar/dummy-run2", "kernel_id": "220431"}, {"ref": "aaronbutleryeats/something-looks-fishy", "kernel_id": "117767"}, {"ref": "anna93/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "176087"}, {"ref": "adriaanslechten/notebook46b5617757", "kernel_id": "211712"}, {"ref": "adriaanslechten/notebookd2d06fe8fa", "kernel_id": "211696"}, {"ref": "adriaanslechten/notebookfa3b508a09", "kernel_id": "211702"}, {"ref": "linan142857/notebookcadb11e34f", "kernel_id": "118827"}, {"ref": "linan142857/test1", "kernel_id": "119089"}, {"ref": "davideverona/notebook54bf17a071", "kernel_id": "152495"}, {"ref": "lywen52/fish-detection", "kernel_id": "121896"}, {"ref": "lywen52/detecting-night-photos", "kernel_id": "121916"}, {"ref": "jihyeseo/fisher-monitor-8-category", "kernel_id": "958690"}, {"ref": "rtochtermann/fish-detection", "kernel_id": "121384"}, {"ref": "maestro972/notebook97e682ad71", "kernel_id": "169635"}, {"ref": "faisalahmed0086/fish-detection", "kernel_id": "150595"}, {"ref": "faisalahmed0086/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "150601"}, {"ref": "faisalahmed0086/svm-implementation-for-nature-conservatory", "kernel_id": "150597"}, {"ref": "faisalahmed0086/hello-keras-cnn-l-b-1-4", "kernel_id": "150605"}, {"ref": "faisalahmed0086/finding-boatids", "kernel_id": "150538"}, {"ref": "shezan1437/my-notebook", "kernel_id": "124839"}, {"ref": "jpr333123/test-script", "kernel_id": "117409"}, {"ref": "jpr333123/notebook1659926d7c", "kernel_id": "117500"}, {"ref": "hlinden/notebook32587fd94d", "kernel_id": "117881"}, {"ref": "higoreduardo/simple-exploration-notebook-nda-compliant", "kernel_id": "118865"}, {"ref": "termtelligence/notebookc1402c798b", "kernel_id": "129233"}, {"ref": "termtelligence/detection", "kernel_id": "129225"}, {"ref": "bfweber85/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "117803"}, {"ref": "vincento/ensemble-your-models-for-better-score", "kernel_id": "233191"}, {"ref": "boriscooper/notebook32361b7c62", "kernel_id": "136609"}, {"ref": "kizaph/notebook4ef615ab9c", "kernel_id": "158079"}, {"ref": "kizaph/fork-of-notebook2328941d5e", "kernel_id": "158149"}, {"ref": "kizaph/notebook99b3881510", "kernel_id": "157551"}, {"ref": "kizaph/notebook87911bcba4", "kernel_id": "157552"}, {"ref": "adnene/notebookaf5bedc993", "kernel_id": "190006"}, {"ref": "adnene/notebook798d1ce724", "kernel_id": "191192"}, {"ref": "jvanvugt/notebookd3719aa225", "kernel_id": "197375"}, {"ref": "rachel2016/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "121233"}, {"ref": "rachel2016/notebooke0acf6f3ac", "kernel_id": "120852"}, {"ref": "awesomegabe/notebook5f266e8755", "kernel_id": "119428"}, {"ref": "rbathula/notebook691bfe352a", "kernel_id": "117338"}, {"ref": "huanwu1990/notebookd0849952ae", "kernel_id": "123535"}, {"ref": "rubtsovvasiliy/notebook25d011b8e7", "kernel_id": "138933"}, {"ref": "aminoid/notebook9fe25b2282", "kernel_id": "238294"}, {"ref": "om1042/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "169797"}, {"ref": "bartfx/notebooked22b8fa67", "kernel_id": "157529"}, {"ref": "wpncrh/using-inceptionv3-features-svm-classifier", "kernel_id": "171979"}, {"ref": "flaiamsterdam/notebookc879411ec5", "kernel_id": "122554"}, {"ref": "cjd1989/notebookff46771dfa", "kernel_id": "126556"}, {"ref": "rollingstone99/finding-boatids", "kernel_id": "155007"}, {"ref": "nomanvb/finding-boatids", "kernel_id": "151622"}, {"ref": "nomanvb/notebook388868a5bd", "kernel_id": "153008"}, {"ref": "vivekray30/notebookfd90a59fc3", "kernel_id": "131137"}, {"ref": "mosnoiion/simple-conv", "kernel_id": "211741"}, {"ref": "mosnoiion/notebookedb32c5e69", "kernel_id": "212576"}, {"ref": "jaypanda/fishy", "kernel_id": "117109"}, {"ref": "dylan9/notebook91affdc34b", "kernel_id": "121397"}, {"ref": "thornhale/notebookaa33263bcf", "kernel_id": "154471"}, {"ref": "byronallen/notebook40c3d34b5d", "kernel_id": "125101"}, {"ref": "devrohitraj/notebook46de334624", "kernel_id": "140195"}, {"ref": "luistj/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "120073"}, {"ref": "hindupuravinash/fishnet", "kernel_id": "220148"}, {"ref": "sruthisekar/notebook091503dd64", "kernel_id": "118157"}, {"ref": "mirjunaid/fish-detection", "kernel_id": "130105"}, {"ref": "pavaan/notebook0708dd29b3", "kernel_id": "122894"}, {"ref": "hikikomori/notebooka464cbab49", "kernel_id": "149762"}, {"ref": "sappyprg/notebook28ec010de4", "kernel_id": "218804"}, {"ref": "bryceguinta/notebook71c30844b6", "kernel_id": "146143"}, {"ref": "kingaza/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "169441"}, {"ref": "ejsergi/notebookc71296a748", "kernel_id": "118092"}, {"ref": "ejsergi/notebook82675e78a2", "kernel_id": "125070"}, {"ref": "ejsergi/notebook9559b5a4e5", "kernel_id": "125066"}, {"ref": "avardshu/finding-boatids", "kernel_id": "130388"}, {"ref": "avardshu/notebook66d15cdc67", "kernel_id": "123763"}, {"ref": "tascor/notebookb03cfb37ed", "kernel_id": "121767"}, {"ref": "yyin0801/notebook08398f54c6", "kernel_id": "138393"}, {"ref": "xziems/fish-detection", "kernel_id": "129647"}, {"ref": "xziems/ziems-cnn", "kernel_id": "129482"}, {"ref": "xziems/fishy-vgg-net", "kernel_id": "130651"}, {"ref": "dariastryuk/notebook45f65b7f40", "kernel_id": "149550"}, {"ref": "qarije/notebooka9080dd93f", "kernel_id": "190936"}, {"ref": "snugyun01/notebook1864506131", "kernel_id": "173127"}, {"ref": "shreemoyeesarkar/fishy-neighbors-knn-solution-log-loss-1-65074", "kernel_id": "230519"}, {"ref": "shreemoyeesarkar/fishy-keras-lb-1-25267", "kernel_id": "211931"}, {"ref": "aman0386/notebookc99c5e944d", "kernel_id": "117531"}, {"ref": "nitink12/notebook9c84e78ae9", "kernel_id": "229775"}, {"ref": "antoinesimoulin/notebook2bd69a8a51", "kernel_id": "163483"}, {"ref": "geonanayi/finding-boatids", "kernel_id": "129072"}, {"ref": "osamir/fish-keras-forked", "kernel_id": "220737"}, {"ref": "osamir/script1", "kernel_id": "144007"}, {"ref": "lichengqi/main-py", "kernel_id": "149644"}, {"ref": "anweshkotta/testscript", "kernel_id": "117833"}, {"ref": "bissben/notebookac9d8cd250", "kernel_id": "119274"}, {"ref": "bissben/explore-the-data", "kernel_id": "118118"}, {"ref": "bissben/notebookc1f67b3a0b", "kernel_id": "130096"}, {"ref": "bissben/notebook66252cc10d", "kernel_id": "130092"}, {"ref": "gomathyshankar/finding-boatids", "kernel_id": "149773"}, {"ref": "wenjianhukaggle/notebookabc7199397", "kernel_id": "163763"}, {"ref": "kongpasom/notebookfe18425723", "kernel_id": "117664"}, {"ref": "kongpasom/notebookcce51e0187", "kernel_id": "117712"}, {"ref": "kongpasom/fishy-keras-lb-1-25267", "kernel_id": "117790"}, {"ref": "tekkrr/structural-similarities", "kernel_id": "117117"}, {"ref": "ezyyyy/fishy-keras-lb-1-25267", "kernel_id": "199537"}, {"ref": "ezyyyy/nn-kernel", "kernel_id": "204660"}, {"ref": "jeffd23/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "117392"}, {"ref": "biosopher/finding-boatids-53827807", "kernel_id": "123079"}, {"ref": "biosopher/workflow-cluster-mask-classify", "kernel_id": "123064"}, {"ref": "biosopher/notebookc2c9b32e7a", "kernel_id": "123065"}, {"ref": "cetusparibus/fish-keras-forked", "kernel_id": "150794"}, {"ref": "monark97/notebooka16533eebe", "kernel_id": "124150"}, {"ref": "dan123/finding-boatids", "kernel_id": "117870"}, {"ref": "ltoscano/notebookc15e38dfd9", "kernel_id": "142498"}, {"ref": "ltoscano/notebook807a794f9e", "kernel_id": "142510"}, {"ref": "coocoocacha/notebook2f9464ded6", "kernel_id": "169013"}, {"ref": "andromeado/train-with-deep-learning-studio", "kernel_id": "212957"}, {"ref": "pineapplebun/test-script", "kernel_id": "158009"}, {"ref": "demoonism/notebookf20ea9cbcb", "kernel_id": "181837"}, {"ref": "alboleo/fish-detection", "kernel_id": "123423"}, {"ref": "aborgher/notebook1ac47e01cb", "kernel_id": "117970"}, {"ref": "sdrdis/essai", "kernel_id": "200688"}, {"ref": "tonigorgatti/notebookc8273c0ccf", "kernel_id": "119713"}, {"ref": "ahmermalik/notebookcbff813db0", "kernel_id": "127847"}, {"ref": "prakritidevverma/test-file", "kernel_id": "141107"}, {"ref": "remcoklerx/notebookb3086001ef", "kernel_id": "136752"}, {"ref": "alexbella/finding-boatids-using-pca-k-means", "kernel_id": "162366"}, {"ref": "alexbella/notebook5a39631e2e", "kernel_id": "117440"}, {"ref": "alexbella/alex-fishes", "kernel_id": "117437"}, {"ref": "michaelmtz20/notebook61397f1efc", "kernel_id": "146949"}, {"ref": "changzhi/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "184328"}, {"ref": "tvickory/finding-boatids", "kernel_id": "150371"}, {"ref": "tvickory/fish-detection", "kernel_id": "154899"}, {"ref": "revanth95/notebook02f42b86c8", "kernel_id": "117547"}, {"ref": "philldonn/detecting-night-photos", "kernel_id": "120900"}, {"ref": "martvr/notebook9d0872844a", "kernel_id": "186080"}, {"ref": "martvr/notebook63e21ba67d", "kernel_id": "186082"}, {"ref": "martvr/notebook4a8fbde9a7", "kernel_id": "186085"}, {"ref": "martvr/notebook459d533cd1", "kernel_id": "186087"}, {"ref": "chlakshminarayana/notebookc69ac7abb0", "kernel_id": "216836"}, {"ref": "pradyumndoomski/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "177134"}, {"ref": "chuxz777/notebook94412724c3", "kernel_id": "117340"}, {"ref": "frankfeng/keras-1", "kernel_id": "120909"}, {"ref": "penglu2514/notebookcc0275fce4", "kernel_id": "128477"}, {"ref": "aghamchawla/notebook55d96a676d", "kernel_id": "224892"}, {"ref": "marotoku/svm-implementation-for-nature-conservatory", "kernel_id": "146475"}, {"ref": "rowpri/notebookb5d72565ec", "kernel_id": "117670"}, {"ref": "deepthought007/fishy-keras-lb-1-25267", "kernel_id": "149146"}, {"ref": "deepthought007/fishid", "kernel_id": "149148"}, {"ref": "deepthought007/notebook7353d128e4", "kernel_id": "149157"}, {"ref": "abdulazizalaa/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "121127"}, {"ref": "xingobar/deep-learning-lb-1-4", "kernel_id": "119972"}, {"ref": "xingobar/clustering-boat", "kernel_id": "119652"}, {"ref": "xingobar/fish-detection", "kernel_id": "121641"}, {"ref": "xingobar/notebookd8a1533c5b", "kernel_id": "127469"}, {"ref": "joname/notebook1ffc3d7e2d", "kernel_id": "119229"}, {"ref": "marquis08/draft", "kernel_id": "143470"}, {"ref": "jrsturge/notebook8e0ca94500", "kernel_id": "146264"}, {"ref": "pierrekhouryb/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "118629"}, {"ref": "xdever/notebookd10ce8d3b6", "kernel_id": "161343"}, {"ref": "panserbjorne/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "120462"}, {"ref": "panserbjorne/deep-learning-in-the-deep-blue-lb-1-279-b90b61d7", "kernel_id": "122722"}, {"ref": "alijs1/fishy-keras-lb-1-25267", "kernel_id": "119882"}, {"ref": "xudipitt/simple-exploration-notebook-nda-compliant", "kernel_id": "118464"}, {"ref": "svesal/fish-detection", "kernel_id": "133005"}, {"ref": "tonu12345/notebook4156a6bfcc", "kernel_id": "117578"}, {"ref": "deevisha/notebook69d06ba303", "kernel_id": "224598"}, {"ref": "db1182/fish-detection", "kernel_id": "144957"}, {"ref": "scp173/notebook9d3fb613b1", "kernel_id": "118747"}, {"ref": "scp173/notebook88ea20f61f", "kernel_id": "119590"}, {"ref": "scp173/finding-boatids", "kernel_id": "121178"}, {"ref": "yangky/notebook0c8aa9a6ba", "kernel_id": "121348"}, {"ref": "taki150602/notebookd69f6c8159", "kernel_id": "163317"}, {"ref": "hulemalearning/fish-detection", "kernel_id": "145895"}, {"ref": "nsingh/notebooke8aae6e748", "kernel_id": "121849"}, {"ref": "rrkc00/notebook74c201b5ff", "kernel_id": "178163"}, {"ref": "bmyara/notebookd784776b13", "kernel_id": "121893"}, {"ref": "vernold/notebook1c64a26dae", "kernel_id": "181855"}, {"ref": "dzahedia/notebook0269fe401a", "kernel_id": "150068"}, {"ref": "greybeardgeek/finding-boatids", "kernel_id": "118575"}, {"ref": "pankajtamhane/notebookc79442db60", "kernel_id": "134873"}, {"ref": "drigerg/fish-detection-and-classification-naive-bayes", "kernel_id": "223501"}, {"ref": "drigerg/fish-classification-pickled-naive-bayes-model", "kernel_id": "227486"}, {"ref": "drigerg/fish-detection-and-classification", "kernel_id": "210697"}, {"ref": "miaojiang/fish-detection", "kernel_id": "130533"}, {"ref": "miaojiang/my-second-try", "kernel_id": "128712"}, {"ref": "miaojiang/notebook10c2f6ba19", "kernel_id": "128652"}, {"ref": "algoai/finding-boatids", "kernel_id": "118503"}, {"ref": "pirisin/playing-with-keras", "kernel_id": "125332"}, {"ref": "pirisin/notebook9ba21fb431", "kernel_id": "125325"}, {"ref": "pirisin/notebooka8828306d9", "kernel_id": "124311"}, {"ref": "alexanderlv/notebook4b93fc6f07", "kernel_id": "220703"}, {"ref": "tuandiniz/notebook6f981b330d", "kernel_id": "155831"}, {"ref": "wutao1530663/notebookfa72b7bae3", "kernel_id": "203620"}, {"ref": "wutao1530663/notebook6b0a6b8201", "kernel_id": "203419"}, {"ref": "jzima7/fish-keras-forked2", "kernel_id": "198592"}, {"ref": "imwwei/fishy-keras-lb-1-25267", "kernel_id": "197024"}, {"ref": "gabcool/notebook1f55e8418c", "kernel_id": "182365"}, {"ref": "sidharthkumar/let-s-fish", "kernel_id": "227496"}, {"ref": "miracleksh/notebook04b593ff8b", "kernel_id": "118265"}, {"ref": "matias3/btb-in-12-lines-lb-1-43", "kernel_id": "196363"}, {"ref": "jamiechung/finding-boatids", "kernel_id": "137268"}, {"ref": "jamiechung/notebookc165e851ef", "kernel_id": "123709"}, {"ref": "kratos86/notebook9edd93cf59", "kernel_id": "120593"}, {"ref": "kratos86/fish-detection", "kernel_id": "156393"}, {"ref": "mbeierling/finding-boatids-using-pca-k-means", "kernel_id": "158148"}, {"ref": "unicorncharm/attemp1", "kernel_id": "158119"}, {"ref": "binilg/exploring2", "kernel_id": "144990"}, {"ref": "binilg/hello-keras-cnn-l-b-1-4", "kernel_id": "144974"}, {"ref": "binilg/fishy-keras-lb-1-25267", "kernel_id": "146259"}, {"ref": "binilg/exploring", "kernel_id": "141800"}, {"ref": "mchendrix/notebookbf7d98d1a3", "kernel_id": "119087"}, {"ref": "mchendrix/myscript", "kernel_id": "119088"}, {"ref": "mchendrix/fish1", "kernel_id": "119017"}, {"ref": "sriniragz/notebookc1521a6cde", "kernel_id": "120225"}, {"ref": "leoemurphy1/notebook6e4b586b36", "kernel_id": "117845"}, {"ref": "jonesaw4/notebook05bcea44f3", "kernel_id": "117267"}, {"ref": "sjw0811/fishy-keras-lb-1-25267", "kernel_id": "120671"}, {"ref": "naeimrezaeian/neuro-nerding-out-1-0-17f995e0", "kernel_id": "141602"}, {"ref": "naeimrezaeian/neuro-nerding-out-1-0", "kernel_id": "141002"}, {"ref": "naeimrezaeian/neuro-nerding-out-1-0-7a0b58da", "kernel_id": "141004"}, {"ref": "naeimrezaeian/notebook682d01bf41", "kernel_id": "140453"}, {"ref": "naeimrezaeian/fish1", "kernel_id": "144031"}, {"ref": "scottyiu/notebookb7da69b1c9", "kernel_id": "121269"}, {"ref": "beyondkaggle/give-me-more-night-fish", "kernel_id": "225847"}, {"ref": "ethanfetaya/temp1", "kernel_id": "121278"}, {"ref": "lawftymike/notebook82322d65ea", "kernel_id": "120052"}, {"ref": "lawftymike/finding-boatids", "kernel_id": "118053"}, {"ref": "kgtmyk/notebook1227b3303b", "kernel_id": "121459"}, {"ref": "tonypoe/svm-implementation-for-nature-conservatory", "kernel_id": "143874"}, {"ref": "tonypoe/keras-cnn-example", "kernel_id": "143775"}, {"ref": "tonypoe/data-exploration-nature-conservancy", "kernel_id": "138795"}, {"ref": "tonypoe/notebook1bb6e719dc", "kernel_id": "141601"}, {"ref": "bhargavkanakiya/notebookd493606b7a", "kernel_id": "118357"}, {"ref": "mani7831/notebookbeda6647cb", "kernel_id": "181314"}, {"ref": "mani7831/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "181433"}, {"ref": "joyoftech/notebookf88b93e061", "kernel_id": "123625"}, {"ref": "panda2016/uyg67767", "kernel_id": "149309"}, {"ref": "mchatzidakis/keras-cnn-example", "kernel_id": "180214"}, {"ref": "xingyongyue/notebook55f8246764", "kernel_id": "126236"}, {"ref": "xingyongyue/datereader", "kernel_id": "125234"}, {"ref": "xingyongyue/notebook443c020bee", "kernel_id": "125232"}, {"ref": "xingyongyue/notebook4ba83ba49c", "kernel_id": "132967"}, {"ref": "xingyongyue/fish-kears", "kernel_id": "132969"}, {"ref": "mylearn/notebookb8f9965aab", "kernel_id": "163142"}, {"ref": "mylearn/notebookfb1a54d408", "kernel_id": "126548"}, {"ref": "panosgon/notebook94537b449d", "kernel_id": "137533"}, {"ref": "zachdischner/notebook9c20de7b75", "kernel_id": "117809"}, {"ref": "zachdischner/gonefishing", "kernel_id": "118453"}, {"ref": "kevinspahr/fish-detection", "kernel_id": "155865"}, {"ref": "thatdongdongzhang/fishy-keras-lb-1-25267", "kernel_id": "190647"}, {"ref": "pierretisseur/keras-test", "kernel_id": "178120"}, {"ref": "pierretisseur/essai", "kernel_id": "185662"}, {"ref": "pierretisseur/testrandom7", "kernel_id": "193543"}, {"ref": "pierretisseur/testrandom432", "kernel_id": "193441"}, {"ref": "pierretisseur/images-96x96", "kernel_id": "189754"}, {"ref": "pierretisseur/testttt4", "kernel_id": "189243"}, {"ref": "pierretisseur/fish-keras-test72", "kernel_id": "195872"}, {"ref": "pierretisseur/testrandom923", "kernel_id": "195340"}, {"ref": "pierretisseur/testrandom9", "kernel_id": "194650"}, {"ref": "pierretisseur/test64x64-2-35", "kernel_id": "194636"}, {"ref": "rojre1979/fishy-keras", "kernel_id": "149341"}, {"ref": "liaojosi/hello-keras-cnn-l-b-1-4-b7328d70", "kernel_id": "143444"}, {"ref": "liaojosi/hello-keras-cnn-l-b-1-4", "kernel_id": "142738"}, {"ref": "liaojosi/hello-keras-cnn-l-b-1-4-e8bf3338", "kernel_id": "154712"}, {"ref": "shirleyhust/fishy-keras", "kernel_id": "263570"}, {"ref": "shirleyhust/notebook34523b896b", "kernel_id": "263502"}, {"ref": "sonder/notebookef339c81e7", "kernel_id": "122667"}, {"ref": "sonder/notebook21955d95ae", "kernel_id": "122668"}, {"ref": "nightshade7/notebookd1e66d29ba", "kernel_id": "117221"}, {"ref": "lavande233/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "122555"}, {"ref": "lavande233/duplicate-and-similar-images", "kernel_id": "122629"}, {"ref": "lavande233/notebooka7c3ec2603", "kernel_id": "122537"}, {"ref": "zfaizal/fishy-keras-lb-1-25267", "kernel_id": "120873"}, {"ref": "ghaidaelsaied/notebook5f3d09a416", "kernel_id": "131848"}, {"ref": "rdcolema/keras-w-feature-visualization", "kernel_id": "132140"}, {"ref": "onnheimm/finding-boatids", "kernel_id": "118893"}, {"ref": "delemeator/marking-heads-and-tails", "kernel_id": "119194"}, {"ref": "garimaraheja/notebook383712533c", "kernel_id": "131682"}, {"ref": "garimaraheja/allstate-stat-198-garima-and-ghaida", "kernel_id": "131655"}, {"ref": "xinyuitan2/notebook0aa41db505", "kernel_id": "180808"}, {"ref": "xinyuitan2/notebook552793144d", "kernel_id": "180121"}, {"ref": "xinyuitan2/notebook031f30eb79", "kernel_id": "211161"}, {"ref": "xinyuitan2/notebook927cd16554", "kernel_id": "206112"}, {"ref": "xinyuitan2/notebookb6a497b608", "kernel_id": "199157"}, {"ref": "vishalag991/notebook109c85844d", "kernel_id": "172473"}, {"ref": "araseol/notebooka5ebabf681", "kernel_id": "119174"}, {"ref": "owenmartin/something-looks-fishy", "kernel_id": "117665"}, {"ref": "owenmartin/notebook51a9d4bf10", "kernel_id": "132858"}, {"ref": "owenmartin/notebook50d40aeae4", "kernel_id": "132861"}, {"ref": "owenmartin/finding-fish", "kernel_id": "132862"}, {"ref": "pechyonkin/making-sample-data", "kernel_id": "175055"}, {"ref": "shehebe/absabs", "kernel_id": "143426"}, {"ref": "lemoinef/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "132313"}, {"ref": "lemoinef/notebook53aeae8418", "kernel_id": "136918"}, {"ref": "carolinafrias/notebook855e48d2d0", "kernel_id": "145944"}, {"ref": "kerikk/notebook684e82e3ac", "kernel_id": "125822"}, {"ref": "flaminka44/notebook9805bd5e4c", "kernel_id": "119892"}, {"ref": "viveksingh01/notebookc69fb7aeac", "kernel_id": "119649"}, {"ref": "tonmcg/fish-detection", "kernel_id": "139557"}, {"ref": "tonmcg/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "131751"}, {"ref": "tom330/test1", "kernel_id": "129198"}, {"ref": "guanhao/notebook1a83fe4fc8", "kernel_id": "119993"}, {"ref": "ericrgon/notebook7bebeb6e9b", "kernel_id": "128164"}, {"ref": "bharath25/testing", "kernel_id": "181312"}, {"ref": "aaronjen/notebookb8de411e04", "kernel_id": "156255"}, {"ref": "molinarfamily2010/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "136523"}, {"ref": "sparkage/notebook075bc89da3", "kernel_id": "122844"}, {"ref": "sparkage/notebookd0be67abf5", "kernel_id": "122924"}, {"ref": "sparkage/notebook516dd16b62", "kernel_id": "122837"}, {"ref": "sparkage/notebook08abe59252", "kernel_id": "122884"}, {"ref": "sparkage/notebook9fe07e9e03", "kernel_id": "122398"}, {"ref": "sparkage/exploring-fish-pics", "kernel_id": "122388"}, {"ref": "franciscomatos/notebook023d7064ce", "kernel_id": "117869"}, {"ref": "jhyume/notebookfaa3c6112d", "kernel_id": "149693"}, {"ref": "jhyume/notebooke9f550eb26", "kernel_id": "141733"}, {"ref": "jhyume/notebook3290081373", "kernel_id": "125103"}, {"ref": "benjaminbenhattar/notebook5d13baa572", "kernel_id": "210162"}, {"ref": "benjaminbenhattar/notebook4a3b7c70e3", "kernel_id": "210175"}, {"ref": "apryor6/something-looks-fishy", "kernel_id": "117067"}, {"ref": "chennaivino/notebook37489478c2", "kernel_id": "125797"}, {"ref": "mhbshirazuni/keras-cnn-example", "kernel_id": "146870"}, {"ref": "phillipkim1982/notebookd99a1d5604", "kernel_id": "120537"}, {"ref": "bazzvil90/fork-of-notebookd14dc3c206", "kernel_id": "126732"}, {"ref": "bazzvil90/start-image-class", "kernel_id": "126823"}, {"ref": "bazzvil90/fork-of-start-image-classification", "kernel_id": "126739"}, {"ref": "bazzvil90/notebook308cb52abc", "kernel_id": "126751"}, {"ref": "bazzvil90/notebook25ff1107e9", "kernel_id": "125011"}, {"ref": "bazzvil90/image-classification-attempt", "kernel_id": "140399"}, {"ref": "cigrainger/notebook1833065275", "kernel_id": "150142"}, {"ref": "stevenkwong/fish-detection", "kernel_id": "127283"}, {"ref": "jinzhiliao/kaggle", "kernel_id": "124110"}, {"ref": "samghim/finding-boatids", "kernel_id": "118228"}, {"ref": "kabrau/notebook7b28696a42", "kernel_id": "130728"}, {"ref": "kabrau/notebook8d7e767c64", "kernel_id": "160959"}, {"ref": "plantsgo/notebook23496fc1da", "kernel_id": "148030"}, {"ref": "devanxu/fish-segmentation", "kernel_id": "206287"}, {"ref": "devanxu/notebook34ef7bf405", "kernel_id": "206273"}, {"ref": "xiaobailong/cifar10", "kernel_id": "184306"}, {"ref": "xiaobailong/fish-detection", "kernel_id": "121525"}, {"ref": "xiaobailong/fishy-keras-lb-1-25267", "kernel_id": "130030"}, {"ref": "subotic/notebook8cbac9a1cd", "kernel_id": "118294"}, {"ref": "mihaibig/werty", "kernel_id": "119295"}, {"ref": "salderuan/fish-detection", "kernel_id": "130289"}, {"ref": "andreasgompos/notebookdc7beec256", "kernel_id": "184692"}, {"ref": "rwamuc/notebook1076ee125b", "kernel_id": "166853"}, {"ref": "carhogg/finding-boatids", "kernel_id": "212714"}, {"ref": "tchaton/notebook44d3dbe60e", "kernel_id": "214373"}, {"ref": "tchaton/notebook44b2a656c1", "kernel_id": "122161"}, {"ref": "leonmax/notebookdf032c9d1b", "kernel_id": "119964"}, {"ref": "duskwatch/notebook9595b2be74", "kernel_id": "153040"}, {"ref": "drgarg/fishy-keras-lb-1-25267", "kernel_id": "156523"}, {"ref": "jacek77/notebookbbeece48e0", "kernel_id": "150218"}, {"ref": "davidprakash/nn-kernel-1", "kernel_id": "199279"}, {"ref": "swombo/fishy-keras-lb-1-25267", "kernel_id": "190211"}, {"ref": "jdreamer/my-new-model-script", "kernel_id": "120503"}, {"ref": "rnatarajan123/notebook665e8c8dcf", "kernel_id": "163257"}, {"ref": "wenchenkof2001/kaggle-1", "kernel_id": "124564"}, {"ref": "wenchenkof2001/marking-heads-and-tails", "kernel_id": "121063"}, {"ref": "kimosoo/test-k", "kernel_id": "129209"}, {"ref": "randolphyao007/notebook5b384b9796", "kernel_id": "121171"}, {"ref": "beci78/notebook8668af75c0", "kernel_id": "151354"}, {"ref": "johannesheidecke/notebookd73c57f9f1", "kernel_id": "118298"}, {"ref": "tsepaka/notebook9ed3c06fd8", "kernel_id": "120870"}, {"ref": "dempton/notebook92636e95cd", "kernel_id": "201076"}, {"ref": "dempton/notebookc4d289eeba", "kernel_id": "201059"}, {"ref": "dempton/notebook17e3140ab0", "kernel_id": "202453"}, {"ref": "dempton/notebooka230f827a2", "kernel_id": "202458"}, {"ref": "dempton/notebook859ee6ad93", "kernel_id": "202398"}, {"ref": "dempton/notebook8da6bafa3d", "kernel_id": "203079"}, {"ref": "vbhattad/testscript", "kernel_id": "175786"}, {"ref": "supersp1234/notebookbc69420932", "kernel_id": "153745"}, {"ref": "icsmith23/fish-detection", "kernel_id": "127312"}, {"ref": "icsmith23/fish-detection-86851f5a", "kernel_id": "127316"}, {"ref": "icsmith23/finding-boatids", "kernel_id": "127322"}, {"ref": "leonyin/notebook388b5ab7a3", "kernel_id": "144209"}, {"ref": "rikhard/test-1", "kernel_id": "159122"}, {"ref": "gergeux/notebook95ed2590b9", "kernel_id": "124255"}, {"ref": "aguaguilar/notebookd888700964", "kernel_id": "124316"}, {"ref": "uidilr/notebook9c66563086", "kernel_id": "119099"}, {"ref": "weilai/notebookdc229a5db5", "kernel_id": "189748"}, {"ref": "weilai/finding-boatids", "kernel_id": "189753"}, {"ref": "weilai/notebook6a127d0168", "kernel_id": "190444"}, {"ref": "arthurherbout/notebook95ec4da3cd", "kernel_id": "134403"}, {"ref": "arthurherbout/computer-vision-first-meeting", "kernel_id": "141179"}, {"ref": "arthurherbout/first-step-with-pil", "kernel_id": "144144"}, {"ref": "saeedt2977/marking", "kernel_id": "200636"}, {"ref": "ciciya/fishy-keras-lb-1-25267", "kernel_id": "159225"}, {"ref": "ciciya/fish-detection", "kernel_id": "159199"}, {"ref": "dungauk/like-a-fish", "kernel_id": "119045"}, {"ref": "mtroiani/notebook7b3bb1b439", "kernel_id": "166644"}, {"ref": "patil074/notebooke031f5fdb2", "kernel_id": "142914"}, {"ref": "haixuantao/notebook5e61d37977", "kernel_id": "117855"}, {"ref": "haixuantao/notebookff9ed9b1fc", "kernel_id": "119394"}, {"ref": "shenxiaoming/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "117666"}, {"ref": "branimirg/notebook6b644c9589", "kernel_id": "182807"}, {"ref": "zeeshananjum/notebookec3ace0d92", "kernel_id": "119330"}, {"ref": "pristavskiy/fish-detection", "kernel_id": "133161"}, {"ref": "dahuchao/notebook0cb97c780c", "kernel_id": "117270"}, {"ref": "daroza/test-script", "kernel_id": "140461"}, {"ref": "fringedata/simple-exploration-notebook-nda-compliant", "kernel_id": "193911"}, {"ref": "xuerenlv123/notebook001be505da", "kernel_id": "117486"}, {"ref": "williamgomex/notebookb787ba4d35", "kernel_id": "153809"}, {"ref": "williamgomex/script1", "kernel_id": "153794"}, {"ref": "zenev0/notebook6c17f5218d", "kernel_id": "130098"}, {"ref": "jtutmaher/notebook0c48800e7c", "kernel_id": "131248"}, {"ref": "tonysh/notebook1321d95afe", "kernel_id": "118069"}, {"ref": "umesh6aig/fisheries-v1", "kernel_id": "137377"}, {"ref": "umesh6aig/fork-of-v1111", "kernel_id": "137396"}, {"ref": "umesh6aig/v1111", "kernel_id": "137383"}, {"ref": "umesh6aig/notebook488672dcc7", "kernel_id": "137302"}, {"ref": "brendanschell/notebook5256a00671", "kernel_id": "203887"}, {"ref": "ntuigs/fishy-keras-lb-1-25267", "kernel_id": "119595"}, {"ref": "minketeer/aaaaaaaaa", "kernel_id": "186336"}, {"ref": "minketeer/notebook389850c997", "kernel_id": "186084"}, {"ref": "abdkat/notebook2ec2134367", "kernel_id": "149153"}, {"ref": "julienknafou/notebookdec944994e", "kernel_id": "119804"}, {"ref": "carterm/notebook36868f731d", "kernel_id": "220530"}, {"ref": "lpachuong/basfsdfasdfs", "kernel_id": "148584"}, {"ref": "lpachuong/mixnet-v2", "kernel_id": "155552"}, {"ref": "lpachuong/give-me-more-night-fish", "kernel_id": "225748"}, {"ref": "elivasquezhdz/notebookb899a9b1d9", "kernel_id": "136559"}, {"ref": "adanwan/aminer-academic-citation-dataset", "kernel_id": "148586"}, {"ref": "heshidaojia/notebookbb7f91dafe", "kernel_id": "123402"}, {"ref": "eltole/notebook465cd379e9", "kernel_id": "119960"}, {"ref": "mieloszyk/notebook666ed1ccf2", "kernel_id": "120022"}, {"ref": "amazingsup/notebook420c117327", "kernel_id": "120061"}, {"ref": "joelbaumert/notebook4cabcb5166", "kernel_id": "121411"}, {"ref": "karimulaeva/notebook2674dec23f", "kernel_id": "120100"}, {"ref": "pym1993/notebook1f99135ce6", "kernel_id": "156563"}, {"ref": "pym1993/notebook6a42afc207", "kernel_id": "186005"}, {"ref": "pym1993/keras-cnn-example", "kernel_id": "186825"}, {"ref": "pym1993/neuro-nerding-out-1-0", "kernel_id": "186957"}, {"ref": "pym1993/notebook0e3497511c", "kernel_id": "190736"}, {"ref": "wh1tezzz/clustering-boat", "kernel_id": "188603"}, {"ref": "wh1tezzz/simple-exploration-notebook-v2-0", "kernel_id": "188605"}, {"ref": "lynn123/notebook08fa4090fb", "kernel_id": "122851"}, {"ref": "lynn123/notebook77f338cc5a", "kernel_id": "123455"}, {"ref": "lynn123/notebookc867f57ea8", "kernel_id": "138805"}, {"ref": "daydreamhb/notebookd32bf5372e", "kernel_id": "158524"}, {"ref": "scottwalsh13/finding-boatids", "kernel_id": "121446"}, {"ref": "rbsimmer/notebook407ca936b6", "kernel_id": "124003"}, {"ref": "openthinks/notebookeca08589db", "kernel_id": "121514"}, {"ref": "openthinks/notebook29d3c324b3", "kernel_id": "121963"}, {"ref": "openthinks/notebooke26c7751ad", "kernel_id": "122403"}, {"ref": "rishabh1995/testing", "kernel_id": "142385"}, {"ref": "pgorni/notebook9f1270faa1", "kernel_id": "152581"}, {"ref": "chaozuo/notebookb0831cc79e", "kernel_id": "122462"}, {"ref": "andykamath/classification-attempt-using-cnns", "kernel_id": "133088"}, {"ref": "tomgonda/neuro-nerding-out-1-0", "kernel_id": "124178"}, {"ref": "tomgonda/fish-detection", "kernel_id": "124219"}, {"ref": "tomgonda/fish-detection-2bc960e2", "kernel_id": "124220"}, {"ref": "nohitwonder/finding-boatids", "kernel_id": "150943"}, {"ref": "arpitbansal297/notebook7632cc4e79", "kernel_id": "214814"}, {"ref": "arpitbansal297/notebook3a335f5b19", "kernel_id": "214805"}, {"ref": "arpitbansal297/notebook93170f1097", "kernel_id": "213187"}, {"ref": "arpitbansal297/temp1", "kernel_id": "212495"}, {"ref": "arpitbansal297/notebook4ea7d1be82", "kernel_id": "212504"}, {"ref": "arpitbansal297/notebook04a16e4e2e", "kernel_id": "212272"}, {"ref": "arpitbansal297/notebookbd08c105b7", "kernel_id": "212260"}, {"ref": "wangyup/try-to-detecting-fishes", "kernel_id": "221812"}, {"ref": "zhaoshu2/notebook8b507ad897", "kernel_id": "173865"}, {"ref": "zhaoshu2/notebookcd8485ea70", "kernel_id": "162688"}, {"ref": "leilaezeddin/notebook0dc75b2151", "kernel_id": "129712"}, {"ref": "dgxiong2000/testscript", "kernel_id": "123974"}, {"ref": "devanshudutia/notebookf6fbff9243", "kernel_id": "128626"}, {"ref": "devanshudutia/notebook4cfe64eaea", "kernel_id": "128629"}, {"ref": "markusd/notebooka9cd1b119c", "kernel_id": "126801"}, {"ref": "markusd/notebookb3a01fcbf2", "kernel_id": "126802"}, {"ref": "tobyfrancisv/hypercolumn-learning-for-fish-detection", "kernel_id": "124931"}, {"ref": "tobyfrancisv/notebook04af215b68", "kernel_id": "125134"}, {"ref": "mwalker/notebookb8f2c0d472", "kernel_id": "126254"}, {"ref": "houhouhou/notebook247ed66825", "kernel_id": "132980"}, {"ref": "qwf5506/finding-boatids", "kernel_id": "135926"}, {"ref": "qwf5506/detecting-night-photos", "kernel_id": "140576"}, {"ref": "qwf5506/fork-of-detecting-night-photos-6f0222e7", "kernel_id": "140602"}, {"ref": "qwf5506/aaaaa", "kernel_id": "140598"}, {"ref": "andreybesedin/notebook4b073987ae", "kernel_id": "137623"}, {"ref": "s55082/notebooka4a397c113", "kernel_id": "182399"}, {"ref": "s55082/notebooka9fd6e764d", "kernel_id": "182435"}, {"ref": "bguisard/deep-learning-with-keras-transfer-learning", "kernel_id": "203739"}, {"ref": "aeron92/notebookaf87e60740", "kernel_id": "137000"}, {"ref": "lufthansa747/notebookba179c4484", "kernel_id": "127553"}, {"ref": "terryocy/finding-boatids", "kernel_id": "138304"}, {"ref": "deep1993/notebookec14ee060e", "kernel_id": "215853"}, {"ref": "deep1993/notebook4033d31beb", "kernel_id": "215854"}, {"ref": "windshield/notebook4afdd2640b", "kernel_id": "144339"}, {"ref": "jjraoult/brittany-team", "kernel_id": "144190"}, {"ref": "ieee8023/notebooke44e4effb5", "kernel_id": "133933"}, {"ref": "wzimmz/notebook9397d9b38a", "kernel_id": "137873"}, {"ref": "dorasri/notebook708545b843", "kernel_id": "143970"}, {"ref": "richardnguyen/notebook35c237033e", "kernel_id": "130434"}, {"ref": "richardnguyen/fish-detection", "kernel_id": "132805"}, {"ref": "bjwang112006/notebookdf05d5db05", "kernel_id": "131798"}, {"ref": "f2ostie/finding-boatids-b362ed4c", "kernel_id": "141298"}, {"ref": "hamidkarimi/finding-boatids", "kernel_id": "135676"}, {"ref": "hamidkarimi/notebooke23d91295f", "kernel_id": "135679"}, {"ref": "deforation/notebook8cf30a4374", "kernel_id": "132196"}, {"ref": "rockking126/fish-keras-forked", "kernel_id": "186938"}, {"ref": "rockking126/fishy-keras-lb-1-25267", "kernel_id": "138394"}, {"ref": "jadnohra/notebook053a38ce22", "kernel_id": "140865"}, {"ref": "jadnohra/fish-detection", "kernel_id": "139322"}, {"ref": "minus100/notebook545cab8861", "kernel_id": "163991"}, {"ref": "nysthee/notebook9a20598123", "kernel_id": "133975"}, {"ref": "whitecrystal/notebook186f860a9e", "kernel_id": "134331"}, {"ref": "lzjkaggle/notebook31848fd07b", "kernel_id": "140315"}, {"ref": "zhoulixue/notebook1beade5873", "kernel_id": "135862"}, {"ref": "zhoulixue/fork-of-notebookfe1cfc558e", "kernel_id": "135866"}, {"ref": "yingwei1983/notebook793bbc5d95", "kernel_id": "141736"}, {"ref": "mtnayt/notebook1b9708377f", "kernel_id": "157323"}, {"ref": "mtnayt/notebook5adbba870e", "kernel_id": "156293"}, {"ref": "danielhui/finding-boatids", "kernel_id": "158025"}, {"ref": "meniluca/notebookd069104b1b", "kernel_id": "221827"}, {"ref": "jonlwowski012/notebook025e9a96e9", "kernel_id": "161959"}, {"ref": "lbdcdb/notebookf10c234ced", "kernel_id": "137614"}, {"ref": "lbdcdb/notebook9d5c7e994d", "kernel_id": "137620"}, {"ref": "jmbull/notebook998bedcafb", "kernel_id": "148929"}, {"ref": "rashim/notebook80d36cee0c", "kernel_id": "157192"}, {"ref": "conanex/notebook7f2b4cfefc", "kernel_id": "138743"}, {"ref": "kunapuli/fish-detection", "kernel_id": "141278"}, {"ref": "kunapuli/finding-boatids", "kernel_id": "141271"}, {"ref": "ksellesk/svm-implementation-for-nature-conservatory", "kernel_id": "185056"}, {"ref": "vtotheg/notebook4e9092935f", "kernel_id": "160152"}, {"ref": "saskasaarioja/notebookf7df734da0", "kernel_id": "139927"}, {"ref": "bytest/test1", "kernel_id": "140283"}, {"ref": "bytest/notebook1", "kernel_id": "140284"}, {"ref": "zhaozhenhua/using-r-language-are-analyzed", "kernel_id": "140276"}, {"ref": "ramasubbulakshmi/fish-detection-9e0a96c8", "kernel_id": "183275"}, {"ref": "ramasubbulakshmi/fish-detection-411b8a4c", "kernel_id": "183279"}, {"ref": "ramasubbulakshmi/fish-detection-c172ca", "kernel_id": "185256"}, {"ref": "peseus/11122", "kernel_id": "140350"}, {"ref": "takuok/notebookde07f143f3", "kernel_id": "208853"}, {"ref": "takuok/notebookdcba378416", "kernel_id": "208849"}, {"ref": "hk060655/notebookd9b9e44d29", "kernel_id": "156901"}, {"ref": "arnabdey/nn-kernel", "kernel_id": "229743"}, {"ref": "arnabdey/fish-keras-forked", "kernel_id": "221919"}, {"ref": "zhenhongy/notebook0175be0cc2", "kernel_id": "144089"}, {"ref": "stephenkinser/notebook11a66d76c0", "kernel_id": "143293"}, {"ref": "abhikmitra/notebook1d13185ab1", "kernel_id": "170206"}, {"ref": "mar1010/fish-detection", "kernel_id": "149441"}, {"ref": "samiozsoy/fish-detection", "kernel_id": "221054"}, {"ref": "eyyuptemlioglu/fork-of-deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "259047"}, {"ref": "eyyuptemlioglu/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "234498"}, {"ref": "hajali/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "143668"}, {"ref": "licoh80/marking-heads-and-tails", "kernel_id": "144586"}, {"ref": "licoh80/finding-boatids", "kernel_id": "144594"}, {"ref": "licoh80/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "149209"}, {"ref": "arcobaleno1996/notebook90e41ed816", "kernel_id": "240810"}, {"ref": "arcobaleno1996/fishy-keras-lb-1-25267", "kernel_id": "243935"}, {"ref": "arcobaleno1996/tricks-for-the-kaggle-leaderboard", "kernel_id": "243752"}, {"ref": "arcobaleno1996/notebook37ce2f2d3a", "kernel_id": "243685"}, {"ref": "arcobaleno1996/image-segmentation-in-r", "kernel_id": "248177"}, {"ref": "sonsoleslp/notebook4ebb964e58", "kernel_id": "145298"}, {"ref": "majidmortazavi/notebook45e49dfeba", "kernel_id": "174262"}, {"ref": "ficker/by-the-way-ask-the-xiaomaolv", "kernel_id": "145743"}, {"ref": "akshay10/deep-learning-fishes-demo2", "kernel_id": "246043"}, {"ref": "akshay10/deep-learning-fish", "kernel_id": "246194"}, {"ref": "xmj9999/notebooke79215cfc4", "kernel_id": "161311"}, {"ref": "xmj9999/notebook38db11c733", "kernel_id": "178646"}, {"ref": "xmj9999/notebook533fcc25d5", "kernel_id": "178688"}, {"ref": "xmj9999/mxnet-test", "kernel_id": "178911"}, {"ref": "xmj9999/notebook35faea7ca1", "kernel_id": "177831"}, {"ref": "xmj9999/notebook7db1b22c5d", "kernel_id": "196724"}, {"ref": "bradyzhu/practice", "kernel_id": "146253"}, {"ref": "bradyzhu/notebookc6cafbcf06", "kernel_id": "146256"}, {"ref": "aburcev/first-script", "kernel_id": "149305"}, {"ref": "aekkav/something-looks-fishy", "kernel_id": "147093"}, {"ref": "funnyface/notebookbe9a3529ca", "kernel_id": "147542"}, {"ref": "funnyface/fisheries-monitoring", "kernel_id": "147543"}, {"ref": "ainstein/finding-boatids", "kernel_id": "185951"}, {"ref": "rishikhanna/finding-boatids", "kernel_id": "162600"}, {"ref": "rishikhanna/fish-detection", "kernel_id": "162604"}, {"ref": "rishikhanna/fish-detection-55613308", "kernel_id": "168017"}, {"ref": "jeanwayne/notebook49e0d64312", "kernel_id": "155109"}, {"ref": "shrugerxu/fishy-keras-forked", "kernel_id": "203750"}, {"ref": "hdutiknsop/mc-fish-test01-notebook3e67e3997b", "kernel_id": "183011"}, {"ref": "juantaldea/notebookcc7ccc171d", "kernel_id": "150116"}, {"ref": "kundanln/notebooke4783431f8", "kernel_id": "150655"}, {"ref": "kundanln/notebook275275b9ce", "kernel_id": "153216"}, {"ref": "gugzkumar/notebookbd9408adee", "kernel_id": "181292"}, {"ref": "jeofuhuang/notebook4546495110", "kernel_id": "233826"}, {"ref": "jeofuhuang/fish-detection", "kernel_id": "152402"}, {"ref": "jeofuhuang/fishy-keras-lb-1-25267", "kernel_id": "152371"}, {"ref": "jeofuhuang/fish-detection-eab605f1", "kernel_id": "152543"}, {"ref": "dsoehartono/notebookfa779b5fa1", "kernel_id": "152874"}, {"ref": "dsoehartono/notebook3627d90cf2", "kernel_id": "152875"}, {"ref": "nuriagco/notebookc9e1a0243c", "kernel_id": "152467"}, {"ref": "nuriagco/notebook4fa228bf81", "kernel_id": "152468"}, {"ref": "tiger147/notebook1e2b7de8c3", "kernel_id": "152653"}, {"ref": "mtmoncur/fish-detection", "kernel_id": "171167"}, {"ref": "lelezhang/detecting-night-photos", "kernel_id": "154533"}, {"ref": "blgnksy/notebooke900567fb1", "kernel_id": "210773"}, {"ref": "paddyt/notebook8d65e0c2bd", "kernel_id": "153486"}, {"ref": "dawnbreaker/fishy-keras", "kernel_id": "156993"}, {"ref": "tsubuo/deep-learning-in-the-deep-blue-lb-1-279-eb3572ca", "kernel_id": "175946"}, {"ref": "tsubuo/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "175904"}, {"ref": "famersbs/notebookc3369aba65", "kernel_id": "154505"}, {"ref": "reshmaremesh94/finding-boatids", "kernel_id": "194874"}, {"ref": "reshmaremesh94/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "194875"}, {"ref": "reshmaremesh94/fish-detection", "kernel_id": "194876"}, {"ref": "frandy/fish-keras-forked", "kernel_id": "179535"}, {"ref": "gongyc/notebookba0b6bb80a", "kernel_id": "175665"}, {"ref": "iyyakuttiganapathi/notebooke85d9ba3ac", "kernel_id": "157229"}, {"ref": "guoxuyang/notebook43c6e5ef7d", "kernel_id": "165288"}, {"ref": "guoxuyang/finding-boatids", "kernel_id": "188095"}, {"ref": "armandspenser/test-11", "kernel_id": "212422"}, {"ref": "roopa123/fish-detection", "kernel_id": "179949"}, {"ref": "roopa123/fish-detection-3b797968", "kernel_id": "179952"}, {"ref": "ucaksbu/benhall-2", "kernel_id": "212421"}, {"ref": "ucaksbu/notebookdb8d77bc7e", "kernel_id": "212382"}, {"ref": "ucaksbu/benhall", "kernel_id": "212387"}, {"ref": "yfliao/notebookc487a4aaa5", "kernel_id": "160417"}, {"ref": "jackmao17/notebook91514d97b2", "kernel_id": "207682"}, {"ref": "vfilin/sample", "kernel_id": "158831"}, {"ref": "jfshields1221/test-1", "kernel_id": "199351"}, {"ref": "jfshields1221/notebook3cd3c5411a", "kernel_id": "186443"}, {"ref": "cschultz/notebookf239311a20", "kernel_id": "217848"}, {"ref": "lucko515/notebook0819514eb8", "kernel_id": "159565"}, {"ref": "hnazari/notebook4940f8fb64", "kernel_id": "174477"}, {"ref": "hnazari/notebook1eb6c7b650", "kernel_id": "174453"}, {"ref": "kunwang/notebookf0091fa4d2", "kernel_id": "159865"}, {"ref": "yonvanom/notebook370fcc2b4f", "kernel_id": "161156"}, {"ref": "narendoraiswamy/notebook4e19e54b1b", "kernel_id": "230552"}, {"ref": "narendoraiswamy/the-nature-conservancy-fisheries-monitoring", "kernel_id": "230553"}, {"ref": "phaune/deep-learning-in-the-deep-blue-lb-1-279", "kernel_id": "194066"}, {"ref": "eirikulversoy/test12", "kernel_id": "220354"}, {"ref": "eirikulversoy/notebook6633286fde", "kernel_id": "220345"}, {"ref": "prashantpendurthy/notebookfe3c0b796d", "kernel_id": "164428"}, {"ref": "prashantpendurthy/sample-program", "kernel_id": "164451"}, {"ref": "steliosk/notebook51a4d9aeb2", "kernel_id": "164397"}, {"ref": "glytle/notebook08e00ae521", "kernel_id": "164415"}, {"ref": "mitchfrump/salmon-conservancy-model", "kernel_id": "168104"}, {"ref": "dpodobny/fdhgnfgh", "kernel_id": "169629"}, {"ref": "harry3294/notebook598000e9c1", "kernel_id": "186610"}, {"ref": "athlonshi/finding-boatids", "kernel_id": "170693"}, {"ref": "ceklein/fish-detection", "kernel_id": "169602"}, {"ref": "ceklein/fish-detection-e43907d3", "kernel_id": "174640"}, {"ref": "hgpark914/hello-with-fcnn", "kernel_id": "168465"}, {"ref": "cyberpunk/notebook32b3c24132", "kernel_id": "168936"}, {"ref": "hanaatucl/fish-located", "kernel_id": "217623"}, {"ref": "hanaatucl/notebooka4805b1181", "kernel_id": "217644"}, {"ref": "hanaatucl/notebook91c4d9b5a9", "kernel_id": "215939"}, {"ref": "hanaatucl/notebook5c953c4b1a", "kernel_id": "215935"}, {"ref": "hanaatucl/notebook5fee9b8986", "kernel_id": "193334"}, {"ref": "hanaatucl/notebooke886a8442f", "kernel_id": "193339"}, {"ref": "hanaatucl/fork-of-fish0302", "kernel_id": "200361"}, {"ref": "stoked/notebookf820d47cad", "kernel_id": "171287"}, {"ref": "stoked/notebook08000ac3ae", "kernel_id": "171408"}, {"ref": "andrewpbell/notebook8104611781", "kernel_id": "170853"}, {"ref": "andrewpbell/notebook2e8f8873e5", "kernel_id": "170850"}, {"ref": "vikrant523/notebook3d8cc8b4dc", "kernel_id": "224875"}, {"ref": "williamswei/fish-keras-forked", "kernel_id": "203221"}, {"ref": "williamswei/fishy-keras-lb-1-25267", "kernel_id": "192298"}, {"ref": "corrupt1985/notebook595b5c68d2", "kernel_id": "172882"}, {"ref": "rupalsanghavi/finding-boatids-using-pca-k-means", "kernel_id": "186232"}, {"ref": "rupalsanghavi/finding-boatids", "kernel_id": "187039"}, {"ref": "simply7/notebookd0835a1a2c", "kernel_id": "196329"}, {"ref": "ankitgupta00/notebook0cc2fbe657", "kernel_id": "178081"}, {"ref": "ankitgupta00/svm-implementation-for-nature-conservatory", "kernel_id": "178083"}, {"ref": "gromovma/fishy-keras-lb-1-25267", "kernel_id": "211330"}, {"ref": "seojuyung/notebook9d2eaeff8d", "kernel_id": "180802"}, {"ref": "mlipev/test-ev", "kernel_id": "183466"}, {"ref": "pulkitk2/notebook9bb31029dd", "kernel_id": "184928"}, {"ref": "pulkitk2/notebook6b5b9e31ba", "kernel_id": "184409"}, {"ref": "louisjier/notebook3a4608cb3a", "kernel_id": "203758"}, {"ref": "u1400914/first-base-script", "kernel_id": "209033"}, {"ref": "haoruo/test3-1", "kernel_id": "222942"}, {"ref": "haoruo/notebookb3eedb63d6", "kernel_id": "222920"}, {"ref": "haoruo/notebooke5d8f32d8d", "kernel_id": "222925"}, {"ref": "haoruo/test2-1", "kernel_id": "222926"}, {"ref": "haoruo/test6", "kernel_id": "222988"}, {"ref": "haoruo/test5", "kernel_id": "222975"}, {"ref": "atabara/initial-model", "kernel_id": "212617"}, {"ref": "ethangela/notebook1754a74b54", "kernel_id": "224833"}, {"ref": "tenzinsean/notebooka272fe7bc2", "kernel_id": "191290"}, {"ref": "ecarlatt/notebook9b2549ed21", "kernel_id": "195759"}, {"ref": "ferdose/my-script1", "kernel_id": "195839"}, {"ref": "john2017/notebookda7ec51b75", "kernel_id": "197737"}, {"ref": "anitarau/notebookc061ea32aa", "kernel_id": "209868"}, {"ref": "calikus/notebook90793182e4", "kernel_id": "201233"}, {"ref": "calikus/notebooke78e515953", "kernel_id": "201240"}, {"ref": "cs3421420706/notebook26f694835f", "kernel_id": "211484"}, {"ref": "cs3421420706/notebook7f1d552ed5", "kernel_id": "209818"}, {"ref": "cs3421420706/keras-cnn-example-5291b4", "kernel_id": "209832"}, {"ref": "cs3421420706/notebook53d88bd6c2", "kernel_id": "201912"}, {"ref": "sachin16495/notebook2e2bbce4f9", "kernel_id": "242221"}, {"ref": "carlosvqubits/fishy-keras-lb-1-25267-image-augmentation", "kernel_id": "213777"}, {"ref": "carlosvqubits/fishy-keras-w-image-augmentation", "kernel_id": "213753"}, {"ref": "edisontu/notebook5c99251bb9", "kernel_id": "202693"}, {"ref": "demoon/deep-forest-1-4-public-log-loss-with-1-5-data", "kernel_id": "216304"}, {"ref": "recepesen/notebook5b8cab4f8a", "kernel_id": "206158"}, {"ref": "kaushalprajapati/notebook2212abc216", "kernel_id": "222846"}, {"ref": "davidmercury/notebook015504a0fd", "kernel_id": "213736"}, {"ref": "futuwei/notebookb858a1a8ab", "kernel_id": "222359"}, {"ref": "teamamsterdamned/notebookeaabc0c103", "kernel_id": "210725"}, {"ref": "abrykt/notebook03047a4acd", "kernel_id": "210967"}, {"ref": "viperking/notebookfd6321995e", "kernel_id": "225391"}, {"ref": "paulmara/notebook62f0b73f7e", "kernel_id": "219845"}, {"ref": "aarvy91/notebook0a734e211d", "kernel_id": "221195"}, {"ref": "utkarshabgri/notebook3701e731a9", "kernel_id": "221752"}, {"ref": "marionb/deep-forest-1-4-public-log-loss-with-1-5-data", "kernel_id": "222959"}, {"ref": "mosf1978/notebook9d35e93592", "kernel_id": "223903"}, {"ref": "erasernut/notebooka9c62fa6d8", "kernel_id": "234197"}, {"ref": "erasernut/finding-boatids-50f940", "kernel_id": "234200"}, {"ref": "erasernut/notebook0e6c28e1b8", "kernel_id": "233890"}, {"ref": "erasernut/fishy-keras-lb-1-25267", "kernel_id": "234469"}, {"ref": "gsha001/fisheries-monitoring-first-kernel-published-p", "kernel_id": "564515"}, {"ref": "huangfuzd/conceptual-for-blending", "kernel_id": "309785"}, {"ref": "netra20/fisheries-dl-using-keras", "kernel_id": "276993"}, {"ref": "sharvil10/notebook0230f437ef", "kernel_id": "277557"}, {"ref": "ryanmarfty/fish-vgg-attention1", "kernel_id": "690361"}, {"ref": "ambarish/nature-conservancy-fisheries-image-analysis", "kernel_id": "1627512"}, {"ref": "kianya/fishes-netology", "kernel_id": "3049572"}, {"ref": "pechkin80/kernele7bc2644c4", "kernel_id": "3908425"}, {"ref": "swapnilpote/the-nature-conservancy-fisheries-monitoring", "kernel_id": "4406526"}, {"ref": "odinnoneodin/kernel3acfc6f397", "kernel_id": "5089744"}, {"ref": "vladimirn/the-nature-conservancy-fisheries-monitoring", "kernel_id": "6190293"}, {"ref": "marcossantanauff/fisheries-monitoring-starter-pack", "kernel_id": "6221674"}, {"ref": "kalash3103/the-nature-conservancy-fisheries-monitoring-k", "kernel_id": "7959403"}, {"ref": "tarang025/nature-transfer-learning", "kernel_id": "8086434"}, {"ref": "tarang025/resnet50", "kernel_id": "8420019"}, {"ref": "dmitrsl/fishes", "kernel_id": "15455864"}, {"ref": "soumafujiwara/notebook2c633c56a8", "kernel_id": "18438172"}, {"ref": "soumafujiwara/notebookb1d4a34d79", "kernel_id": "18438603"}, {"ref": "soumafujiwara/notebook28edc311d8", "kernel_id": "18425091"}, {"ref": "blossom1994/fishes", "kernel_id": "19707717"}, {"ref": "mohammadit/notebook3d1e588ca6", "kernel_id": "19710342"}, {"ref": "antonpavlovskyi/fisheries-monitoring-detection-classification", "kernel_id": "26332463"}, {"ref": "dalekseevspb/alekseevdp-dsu-4-cvml-4-hw-3-fisheries-kaggle", "kernel_id": "27062639"}, {"ref": "polinalatypova/notebook21f74d1cf5", "kernel_id": "27579584"}, {"ref": "denisrudakov/transferlearning-vgg16-resnet-class-weight-work", "kernel_id": "35198226"}, {"ref": "konlook/cv-3net", "kernel_id": "35342276"}, {"ref": "vladislavpolikarpov/notebook9b4919f517", "kernel_id": "42656936"}, {"ref": "impulzzz/transferlearning-vgg16-resnet-class-weight-work", "kernel_id": "58567164"}, {"ref": "huisen/transferlearning-vgg16-resnet-class-weight-work", "kernel_id": "70448130"}, {"ref": "zyh1104/013-the-nature-conservancy-fisheries-monitoring", "kernel_id": "71306709"}, {"ref": "huisen/bs-code1", "kernel_id": "75693958"}, {"ref": "dmitrydogotar/fish-classifier", "kernel_id": "85930778"}, {"ref": "dmitrydogotar/fork-of-fish-classifier", "kernel_id": "88046904"}, {"ref": "npo100kpo/notebook2e81035c40", "kernel_id": "91889870"}, {"ref": "handeharmankaya/fish-classification-cnn-vgg16", "kernel_id": "102963239"}, {"ref": "deuces9ers/fish-classifier", "kernel_id": "103551435"}, {"ref": "kagleenjoer/notebookac808e1889", "kernel_id": "126061572"}, {"ref": "grankinaolga/the-nature-conservancy-fisheries-monitoring", "kernel_id": "126045862"}, {"ref": "nastijakalugina/notebook835a547433", "kernel_id": "135723165"}, {"ref": "nastijakalugina/notebooke417232959", "kernel_id": "136161303"}]}
{"competition_id": "5579", "kernels": []}
{"competition_id": "5586", "kernels": []}
{"competition_id": "5589", "kernels": []}
{"competition_id": "5590", "kernels": [{"ref": "alexxanderlarko/data-tr-te", "kernel_id": "229236"}, {"ref": "alexxanderlarko/another-python-version-of-it-is-lit-by-branden", "kernel_id": "218990"}, {"ref": "alexxanderlarko/nn-keras", "kernel_id": "216283"}, {"ref": "alexxanderlarko/randomforest-base1304", "kernel_id": "233571"}, {"ref": "domcastro/renthop-features-word-cloud", "kernel_id": "181487"}, {"ref": "ys31415/simple-exploration-notebook-2-connect", "kernel_id": "190333"}, {"ref": "ys31415/feature-engineering-1-sentiment-analysis", "kernel_id": "190620"}, {"ref": "ys31415/notebook4fadad2e0e", "kernel_id": "192718"}, {"ref": "tks0123456789/train-test-split-is-random-not-based-on-time", "kernel_id": "179715"}, {"ref": "sausax/notebookd146387171", "kernel_id": "234623"}, {"ref": "sausax/notebook0dc4e38cf1", "kernel_id": "234624"}, {"ref": "lujing/xgb-starter-in-python2", "kernel_id": "196747"}, {"ref": "lujing/cv-statistics-better-parameters", "kernel_id": "238711"}, {"ref": "maratb/notebook5999e69b7f", "kernel_id": "191320"}, {"ref": "willieliao/sub01", "kernel_id": "243351"}, {"ref": "roshini/notebookf16ffe3497", "kernel_id": "203621"}, {"ref": "mesolithic/interest-distribution-analysis", "kernel_id": "240831"}, {"ref": "mesolithic/notebookcd5e87ebf3", "kernel_id": "234848"}, {"ref": "mesolithic/area-grid-price-prediction-good-deals-effect", "kernel_id": "235240"}, {"ref": "jeannief/microsoft-lightgbm-starter", "kernel_id": "270802"}, {"ref": "china1000/it-is-others", "kernel_id": "240395"}, {"ref": "china1000/it-is-mine-new", "kernel_id": "241051"}, {"ref": "wendykan/list-files-1", "kernel_id": "132417"}, {"ref": "lelandp/notebook3a83eb6511", "kernel_id": "229833"}, {"ref": "lelandp/notebook2cb61aadb8", "kernel_id": "229837"}, {"ref": "payamesfandiari/notebook5fbacd44b7", "kernel_id": "180139"}, {"ref": "gpboss/cv-statistics-edited-0-5346-score", "kernel_id": "228742"}, {"ref": "grafke/image-tags", "kernel_id": "186280"}, {"ref": "akhillohchab/random-forest-starter-with-numerical-features", "kernel_id": "179626"}, {"ref": "re9ulus/xgb-starter-in-python", "kernel_id": "211401"}, {"ref": "jiting/notebookf94f3b884c", "kernel_id": "179353"}, {"ref": "jiting/notebookcc5be611ca", "kernel_id": "179355"}, {"ref": "zouzias/simple-exploration-notebook-2-connect", "kernel_id": "189046"}, {"ref": "aymenj/notebookff8d7ddcdc", "kernel_id": "189883"}, {"ref": "snassimr/xgb0415", "kernel_id": "241452"}, {"ref": "zwickf/cv-statistics-better-parameters-and-explaination", "kernel_id": "233743"}, {"ref": "staesthetics/random-forest-starter-with-numerical-features", "kernel_id": "188356"}, {"ref": "staesthetics/simple-exploration-notebook-2-connect", "kernel_id": "188357"}, {"ref": "sudalairajkumar/simple-exploration-notebook-2-connect", "kernel_id": "179591"}, {"ref": "sudalairajkumar/notebooka6bd8e30d8", "kernel_id": "180046"}, {"ref": "sudalairajkumar/xgb-starter-in-python", "kernel_id": "180047"}, {"ref": "sarvajith/it-is-lit", "kernel_id": "210473"}, {"ref": "sarvajith/keras-nn-0-585", "kernel_id": "210510"}, {"ref": "sarvajith/nn-keras", "kernel_id": "218123"}, {"ref": "psilogram/sentiment-analysis", "kernel_id": "201010"}, {"ref": "psilogram/random-forest-starter-with-numerical-features", "kernel_id": "179826"}, {"ref": "georgem/recana13", "kernel_id": "215469"}, {"ref": "georgem/from-other", "kernel_id": "213860"}, {"ref": "georgem/bigtest", "kernel_id": "209749"}, {"ref": "georgem/newage3", "kernel_id": "210839"}, {"ref": "georgem/ansax2", "kernel_id": "209172"}, {"ref": "georgem/wwwwww", "kernel_id": "208411"}, {"ref": "georgem/kkapapa1", "kernel_id": "208225"}, {"ref": "georgem/just-studycc", "kernel_id": "208785"}, {"ref": "georgem/googsss", "kernel_id": "208794"}, {"ref": "georgem/zerodayx", "kernel_id": "208795"}, {"ref": "georgem/artata", "kernel_id": "208807"}, {"ref": "georgem/newansa4", "kernel_id": "212270"}, {"ref": "georgem/bigdeal", "kernel_id": "211465"}, {"ref": "georgem/teststart1", "kernel_id": "199298"}, {"ref": "georgem/parlapipa", "kernel_id": "203692"}, {"ref": "georgem/testtest-json-r", "kernel_id": "202968"}, {"ref": "georgem/withtitle1", "kernel_id": "205414"}, {"ref": "cpmpml/notebook8766b08567", "kernel_id": "239740"}, {"ref": "cpmpml/better-prior", "kernel_id": "239768"}, {"ref": "mpearmain/notebook624be07e47", "kernel_id": "194054"}, {"ref": "mpearmain/rent2vec", "kernel_id": "194059"}, {"ref": "izgordon/notebook00bbdecea6", "kernel_id": "186428"}, {"ref": "izgordon/xgb-starter-in-python", "kernel_id": "183870"}, {"ref": "izgordon/h2o-starter-pack", "kernel_id": "186260"}, {"ref": "izgordon/notebook68b01c4073", "kernel_id": "179364"}, {"ref": "abhinavchoudhury/notebook32bf1b6961", "kernel_id": "186781"}, {"ref": "abhinavchoudhury/notebook924ff24abe", "kernel_id": "186736"}, {"ref": "yarmolau/improve-perfomances-using-manager-features", "kernel_id": "194571"}, {"ref": "satyaprakash1986/notebook9d43695d31", "kernel_id": "238937"}, {"ref": "satyaprakash1986/exploratory-two-sigma-connect", "kernel_id": "187141"}, {"ref": "satyaprakash1986/notebookfc5236fc64", "kernel_id": "188523"}, {"ref": "satyaprakash1986/notebook3b4c2cfdf9", "kernel_id": "193052"}, {"ref": "satyaprakash1986/rf-submission", "kernel_id": "191139"}, {"ref": "satyaprakash1986/xgb-submission-with-features", "kernel_id": "208481"}, {"ref": "intellijawa/interest-level-sentiment-across-nyc-neighbourhoods", "kernel_id": "192865"}, {"ref": "sevendeadlysines/notebookb57e2289ac", "kernel_id": "204909"}, {"ref": "sevendeadlysines/trial", "kernel_id": "181460"}, {"ref": "sevendeadlysines/notebooka7686aed9a", "kernel_id": "182802"}, {"ref": "sevendeadlysines/notebookfe488bb0ff", "kernel_id": "182803"}, {"ref": "sanjeevsingh/notebook2a625dcc8e", "kernel_id": "239364"}, {"ref": "prateek30/rental-neural-network", "kernel_id": "190085"}, {"ref": "bchnge/notebookb57fc7ffce", "kernel_id": "196484"}, {"ref": "luizgh/simple-exploration-notebook-2-connect", "kernel_id": "181434"}, {"ref": "akilaw/h2o-starter-pack", "kernel_id": "179515"}, {"ref": "akilaw/python-xgboost", "kernel_id": "180168"}, {"ref": "akilaw/r-xgboost", "kernel_id": "220373"}, {"ref": "jxnlco/dealing-with-high-cardinality-data", "kernel_id": "208683"}, {"ref": "jxnlco/fitting-manager-skill-using-random-effects", "kernel_id": "209150"}, {"ref": "jxnlco/deduplicating-features", "kernel_id": "207615"}, {"ref": "phdata/notebookb29fa09f61", "kernel_id": "200083"}, {"ref": "skeller/notebook88e7e26158", "kernel_id": "214260"}, {"ref": "mirdtmir/notebookc4828d0f7c", "kernel_id": "182046"}, {"ref": "shanlu/notebook114d8b7260", "kernel_id": "182179"}, {"ref": "shanlu/h2o-starter-pack", "kernel_id": "182281"}, {"ref": "shanlu/notebook02c054a4b7", "kernel_id": "182881"}, {"ref": "grfiv4/plotting-feature-importances", "kernel_id": "246314"}, {"ref": "grfiv4/multi-class-classification-blending-stacking", "kernel_id": "243461"}, {"ref": "grfiv4/multi-class-classification-stacking", "kernel_id": "243468"}, {"ref": "grfiv4/displaying-the-results-of-a-grid-search", "kernel_id": "232313"}, {"ref": "grfiv4/plotting-confusion-matrices", "kernel_id": "209761"}, {"ref": "grfiv4/log-loss-depicted-1", "kernel_id": "221118"}, {"ref": "grfiv4/learning-curves-1", "kernel_id": "203099"}, {"ref": "jeremyjesse/it-is-lit", "kernel_id": "280565"}, {"ref": "cullywest/notebooke4de433074", "kernel_id": "180543"}, {"ref": "cullywest/notebookcb3d07667d", "kernel_id": "180461"}, {"ref": "danofer/image-processing-and-sentiment-analysis", "kernel_id": "203625"}, {"ref": "rparra/rental-listing", "kernel_id": "179356"}, {"ref": "crosswords/notebook247bb1982d", "kernel_id": "207694"}, {"ref": "crosswords/notebook1df2498291", "kernel_id": "205669"}, {"ref": "crosswords/notebook0691973cf7", "kernel_id": "204818"}, {"ref": "zeroblue/notebook393ec65d0f", "kernel_id": "220161"}, {"ref": "zeroblue/notebook5042a24fd0", "kernel_id": "215795"}, {"ref": "zeroblue/keras-nn-0-585", "kernel_id": "215798"}, {"ref": "zeroblue/simple-starter-keras-nn-v2", "kernel_id": "216237"}, {"ref": "zeroblue/simple-starter-keras-nn", "kernel_id": "216023"}, {"ref": "zeroblue/visualizing-listing-id-vs-interest-level", "kernel_id": "218917"}, {"ref": "kazanova/xgboost-python-scores-around-0-544", "kernel_id": "209819"}, {"ref": "dimitrislev/xgb-starter-in-python-8f42ddba", "kernel_id": "182641"}, {"ref": "dimitrislev/it-is-lit-save-csv-1", "kernel_id": "209021"}, {"ref": "dimitrislev/save-csv", "kernel_id": "209053"}, {"ref": "tagger/random-forest-starter-with-numerical-features", "kernel_id": "194807"}, {"ref": "tagger/random-forest-starter-with-numerical-featur-110754", "kernel_id": "195178"}, {"ref": "sedaghatfar/notebooka155c80be3", "kernel_id": "182839"}, {"ref": "tjrileywisc/feature-exploration", "kernel_id": "179329"}, {"ref": "avishek/cv-statistics-better-parameters-and-explaination", "kernel_id": "232716"}, {"ref": "avishek/forked-script-csvs", "kernel_id": "215650"}, {"ref": "avishek/forked-script-csvs1", "kernel_id": "215741"}, {"ref": "avishek/xgboost-two-sigma-cz-savedatasets", "kernel_id": "225937"}, {"ref": "avishek/neural-network-0-583lb-save-ds", "kernel_id": "228233"}, {"ref": "eigenz/notebookab2db0d959", "kernel_id": "180701"}, {"ref": "byrsa92/notebook02296f6233", "kernel_id": "241646"}, {"ref": "viveksrinivasan/visualizing-two-sigma-connect-dataset", "kernel_id": "179776"}, {"ref": "superl33/it-is-lit", "kernel_id": "212439"}, {"ref": "sonuk7/notebook574cdc38fe", "kernel_id": "179675"}, {"ref": "syleeie/cv-statistics-better-parameters-and-explaination", "kernel_id": "232718"}, {"ref": "ericdoi/xgb-starter-in-python", "kernel_id": "180874"}, {"ref": "ericdoi/notebook8d56c6b866", "kernel_id": "180877"}, {"ref": "ericdoi/notebookd243ed68c4", "kernel_id": "203522"}, {"ref": "alexxucui/notebookde03ebe85f", "kernel_id": "179340"}, {"ref": "rakhlin/visualizing-listing-id-vs-interest-level", "kernel_id": "220280"}, {"ref": "rakhlin/another-python-version-of-it-is-lit-by-branden", "kernel_id": "217661"}, {"ref": "tajinx/notebookdb7a3112cc", "kernel_id": "225254"}, {"ref": "tajinx/notebook0ad5628647", "kernel_id": "225257"}, {"ref": "tajinx/notebook368642476e", "kernel_id": "225260"}, {"ref": "dbalchev/notebookaee8e488cd", "kernel_id": "180410"}, {"ref": "antriksh5235/checking-out-data", "kernel_id": "179471"}, {"ref": "awpotter/notebook547bebd396", "kernel_id": "179291"}, {"ref": "brandenkmurray/it-is-lit", "kernel_id": "204140"}, {"ref": "brandenkmurray/h2o-starter-pack", "kernel_id": "179441"}, {"ref": "debaryadutta/notebookcf1404ec80", "kernel_id": "210549"}, {"ref": "jbkopecky/capital-letters-word-in-desc-vs-interest", "kernel_id": "206415"}, {"ref": "rashmi9/notebook3cc87d3497", "kernel_id": "240512"}, {"ref": "lantingguo/forked-script", "kernel_id": "213540"}, {"ref": "miguelpm/renthop-visualizing-interest", "kernel_id": "218489"}, {"ref": "jasonbest/xgb-starter-in-python", "kernel_id": "181053"}, {"ref": "quantking/notebookc314fe99b1", "kernel_id": "201186"}, {"ref": "dhegde/feature-engineering-1-sentiment-analysis", "kernel_id": "223120"}, {"ref": "bryanyang/simple-exploration-notebook-2-connect", "kernel_id": "190631"}, {"ref": "wingsfan/simple-exploration-notebook-2-connect", "kernel_id": "193761"}, {"ref": "arsenyinfo/images-features-both-neural-and-old-fashioned", "kernel_id": "213522"}, {"ref": "zhangzhiquan/notebook013c9634eb", "kernel_id": "224760"}, {"ref": "balduncle/notebookc919e297e6", "kernel_id": "179388"}, {"ref": "mintystate/cv-statistics-better-parameters-and-explaination", "kernel_id": "237706"}, {"ref": "priyaananthram/notebookd1a9573543", "kernel_id": "203396"}, {"ref": "priyaananthram/exploratory-data-analysis", "kernel_id": "203398"}, {"ref": "priyaananthram/cv-statistics-edited-0-5346-score", "kernel_id": "229217"}, {"ref": "khoroshenkikh/simple-exploration-notebook-2-connect", "kernel_id": "190522"}, {"ref": "elejke/newage3", "kernel_id": "211022"}, {"ref": "elejke/xgb-starter-in-python", "kernel_id": "181718"}, {"ref": "greenwolf/simple-xgb-python", "kernel_id": "182815"}, {"ref": "aikinogard/notebook3c7e4638ba", "kernel_id": "188476"}, {"ref": "aikinogard/fork-of-random-forest-starter-with-numerical-featu", "kernel_id": "191193"}, {"ref": "aikinogard/frequency", "kernel_id": "193245"}, {"ref": "aikinogard/notebookea49c801cd", "kernel_id": "195417"}, {"ref": "aikinogard/random-forest-starter-with-numerical-features", "kernel_id": "179366"}, {"ref": "harneetsingh/simple-exploration-notebook-2-connect", "kernel_id": "195613"}, {"ref": "stijnzanders/xgb-starter-in-python", "kernel_id": "185234"}, {"ref": "ayoussef/simple-exploration-notebook-2-connect", "kernel_id": "180489"}, {"ref": "mzacks/random-forest-starter-with-numerical-features", "kernel_id": "181058"}, {"ref": "mzacks/rf1sssss", "kernel_id": "181061"}, {"ref": "mzacks/xgb-starter-in-python", "kernel_id": "182530"}, {"ref": "viveknitj/notebookc97061b574", "kernel_id": "181888"}, {"ref": "malabar/data-exploration-attempt-1", "kernel_id": "205351"}, {"ref": "magili1022/random-forest-starter-with-numerical-features", "kernel_id": "180557"}, {"ref": "magili1022/notebooke54fba7399", "kernel_id": "190545"}, {"ref": "magili1022/jf3rd", "kernel_id": "190553"}, {"ref": "magili1022/notebookbccf70e8e0", "kernel_id": "192252"}, {"ref": "rconneely/getting-started", "kernel_id": "179682"}, {"ref": "mingxian/simple-exploration-notebook-2-connect", "kernel_id": "192245"}, {"ref": "pinocchio/notebook109ae67e1d", "kernel_id": "230557"}, {"ref": "anuragchilukuri/notebookfa18f2d99b", "kernel_id": "187394"}, {"ref": "sivajid/notebook2527bc11b4", "kernel_id": "200561"}, {"ref": "chengchen/cv-statistics-better-parameters-and-explaination", "kernel_id": "232376"}, {"ref": "carrdelling/test-images", "kernel_id": "183773"}, {"ref": "ch11yx/python-xgboost", "kernel_id": "193949"}, {"ref": "krishnateja614/notebook497310787c", "kernel_id": "235681"}, {"ref": "jiaminglee/notebook20fe760023", "kernel_id": "190196"}, {"ref": "jiaminglee/experiment", "kernel_id": "190102"}, {"ref": "henrilin28/simple-exploration-notebook-2-connect", "kernel_id": "183747"}, {"ref": "namra42/notebook7fe67f979a", "kernel_id": "188071"}, {"ref": "daikiyamanaka/two-sigma-renthop-eda", "kernel_id": "243081"}, {"ref": "abhijitk/first-try-1", "kernel_id": "182219"}, {"ref": "arbitrarydisplayname/notebook29ce3cca3d", "kernel_id": "181515"}, {"ref": "opanichev/same-data-in-train-and-test", "kernel_id": "235856"}, {"ref": "vanyaslobodchikov/notebook7661761f0e", "kernel_id": "226439"}, {"ref": "peishenwu/notebook95f760f42c", "kernel_id": "181227"}, {"ref": "peishenwu/notebook7e4b15d62f", "kernel_id": "181230"}, {"ref": "peishenwu/exploring-apartment-features", "kernel_id": "181792"}, {"ref": "sushmit/experiments-with-lda-and-qda", "kernel_id": "180708"}, {"ref": "argoel/how-to-correctly-load-data-into-r", "kernel_id": "195356"}, {"ref": "bibins/random-forest-starter-with-numerical-features", "kernel_id": "179548"}, {"ref": "timhill/notebook0db79a6dd4", "kernel_id": "179414"}, {"ref": "timhill/two-sigma-connect-rental-listing-inquiries-eda", "kernel_id": "179416"}, {"ref": "rhinodaveb/cv-statistics-better-parameters-and-explai-dfd851", "kernel_id": "242483"}, {"ref": "anantgupta/notebook39dd70c514", "kernel_id": "202944"}, {"ref": "crisliu/two-sigma-house-price-prediction", "kernel_id": "222434"}, {"ref": "lilianaf/notebook93c17b0705", "kernel_id": "185622"}, {"ref": "ffisegydd/k-means-clustering-with-sklearn-transformer", "kernel_id": "229794"}, {"ref": "ffisegydd/high-cardinality-data-using-sklearn-transformers", "kernel_id": "226045"}, {"ref": "runningwolf/xgb-starter-in-python", "kernel_id": "200164"}, {"ref": "dnodna/random-forest-starter-with-numerical-features", "kernel_id": "179904"}, {"ref": "rhlkmr/notebookeffd4b0e8d", "kernel_id": "179283"}, {"ref": "merr1988/notebook5057e27442", "kernel_id": "180101"}, {"ref": "vvarkey/notebook978aca8eb9", "kernel_id": "204177"}, {"ref": "vvarkey/0308-exploration", "kernel_id": "204179"}, {"ref": "vvarkey/notebookf3ba71e126", "kernel_id": "205326"}, {"ref": "vvarkey/0309-submission2", "kernel_id": "205329"}, {"ref": "vvarkey/notebook70f6c51fa2", "kernel_id": "207923"}, {"ref": "vvarkey/0310-features", "kernel_id": "205826"}, {"ref": "vvarkey/0310-learning-curve", "kernel_id": "205796"}, {"ref": "vvarkey/0310-submission", "kernel_id": "206309"}, {"ref": "vvarkey/0310-submission2", "kernel_id": "206313"}, {"ref": "vvarkey/notebookfea61f2cef", "kernel_id": "217263"}, {"ref": "vvarkey/notebook15949a43cd", "kernel_id": "209041"}, {"ref": "vvarkey/notebooke2537bc7a0", "kernel_id": "209588"}, {"ref": "vvarkey/0313-submit-1", "kernel_id": "208806"}, {"ref": "vvarkey/notebookd723745dc0", "kernel_id": "208276"}, {"ref": "vvarkey/starter-converted", "kernel_id": "211131"}, {"ref": "vvarkey/starter-3-15", "kernel_id": "211594"}, {"ref": "vvarkey/xgb-starter-in-python", "kernel_id": "211586"}, {"ref": "vvarkey/0316-submit1", "kernel_id": "212176"}, {"ref": "vvarkey/fork-of-fork-of-notebook5558fe4072", "kernel_id": "229365"}, {"ref": "vvarkey/fork-of-notebook5558fe4072", "kernel_id": "227774"}, {"ref": "vvarkey/notebook5558fe4072", "kernel_id": "226499"}, {"ref": "vvarkey/0330-submit", "kernel_id": "223609"}, {"ref": "vvarkey/notebook56cab995e5", "kernel_id": "223525"}, {"ref": "vvarkey/0325-submission", "kernel_id": "219672"}, {"ref": "vvarkey/notebookde99634042", "kernel_id": "221926"}, {"ref": "vvarkey/image-analysis", "kernel_id": "238719"}, {"ref": "vvarkey/cv-stats", "kernel_id": "238649"}, {"ref": "vvarkey/cv-statistics-better-parameters-and-explaination", "kernel_id": "238693"}, {"ref": "vvarkey/notebook71d8cbd71b", "kernel_id": "239666"}, {"ref": "vvarkey/latlong-cluster-output", "kernel_id": "238122"}, {"ref": "vvarkey/old-topper-notebook", "kernel_id": "233504"}, {"ref": "vvarkey/lit2-submit", "kernel_id": "233003"}, {"ref": "vvarkey/old-topper-submit", "kernel_id": "234471"}, {"ref": "vvarkey/latlong-cluster", "kernel_id": "234522"}, {"ref": "vvarkey/notebookb2488e1785", "kernel_id": "232118"}, {"ref": "vvarkey/notebook0d470c449d", "kernel_id": "232369"}, {"ref": "vvarkey/fork-of-fork-of-fork-of-notebook5558fe4072", "kernel_id": "232824"}, {"ref": "bguberfain/maps-maps-maps", "kernel_id": "180015"}, {"ref": "neilzhang/renthop-two-sigma", "kernel_id": "186863"}, {"ref": "sujatar/notebook3ef3649283", "kernel_id": "227905"}, {"ref": "sujatar/notebook2e4e88ab3a", "kernel_id": "228760"}, {"ref": "sujatar/notebook6f402f8415", "kernel_id": "236348"}, {"ref": "sujatar/notebook1025530ea8", "kernel_id": "236462"}, {"ref": "sujatar/notebook6597f9ea8d", "kernel_id": "236393"}, {"ref": "sujatar/cv-statistics-better-parameters-and-explaination", "kernel_id": "232712"}, {"ref": "sujatar/notebook1f6fc79a72", "kernel_id": "233505"}, {"ref": "sujatar/notebook2191c6dfb1", "kernel_id": "233507"}, {"ref": "sujatar/using-xgboost", "kernel_id": "242104"}, {"ref": "sujatar/notebook6c2f17cbc9", "kernel_id": "241974"}, {"ref": "trsumit/notebook9671100ffb", "kernel_id": "205373"}, {"ref": "phristov/random-forest-starter-with-numerical-features", "kernel_id": "179839"}, {"ref": "sasimsb/2-sigma-and-rental", "kernel_id": "194173"}, {"ref": "zeeshansayyed/notebook1a4014ec0d", "kernel_id": "203166"}, {"ref": "liulong/notebook97ce70fa08", "kernel_id": "210380"}, {"ref": "liulong/liulong", "kernel_id": "210395"}, {"ref": "scirpus/apples-and-oranges-iii", "kernel_id": "230645"}, {"ref": "scirpus/minimal", "kernel_id": "234635"}, {"ref": "scirpus/a-bit-of-math", "kernel_id": "235850"}, {"ref": "scirpus/genetic-programming-6", "kernel_id": "208321"}, {"ref": "scirpus/leave-one-out-on-four-columns", "kernel_id": "208863"}, {"ref": "scirpus/apples-oranges-ii", "kernel_id": "216948"}, {"ref": "scirpus/spllchecker", "kernel_id": "202228"}, {"ref": "budhiraja/xgb-starter-in-python", "kernel_id": "180920"}, {"ref": "budhiraja/testing-for-different-classifiers", "kernel_id": "229470"}, {"ref": "shicheng1627/notebook1ace00d565", "kernel_id": "179531"}, {"ref": "geekfox/a-simple-keras-nn", "kernel_id": "217728"}, {"ref": "speedoheck/notebook0f1fee4ad7", "kernel_id": "179609"}, {"ref": "gospursgo/h2o-starter-pack", "kernel_id": "179769"}, {"ref": "jenniferjesuraj/notebookfd2572d4bf", "kernel_id": "237548"}, {"ref": "uttam2311/notebook881a1cc8f4", "kernel_id": "204379"}, {"ref": "bschaefer/notebookf5744471f5", "kernel_id": "218254"}, {"ref": "bschaefer/basic-eda", "kernel_id": "218255"}, {"ref": "bschaefer/xgb-starter-in-python", "kernel_id": "205851"}, {"ref": "dantussk/notebook57eba4715d", "kernel_id": "179466"}, {"ref": "dantussk/notebook0eebbc253f", "kernel_id": "179467"}, {"ref": "reshsekar15/simple-exlporatory", "kernel_id": "203484"}, {"ref": "reshsekar15/notebookc48fb0da3d", "kernel_id": "214292"}, {"ref": "reshsekar15/naives-bayes", "kernel_id": "238749"}, {"ref": "reshsekar15/notebook0f3a684ec6", "kernel_id": "238704"}, {"ref": "tezdhar/cv-statistics-better-parameters-and-explaination", "kernel_id": "230899"}, {"ref": "tezdhar/notebook7bfb319532", "kernel_id": "224052"}, {"ref": "theopavlakou/it-is-lit", "kernel_id": "212388"}, {"ref": "vavbrs/xgb-starter-in-python", "kernel_id": "189631"}, {"ref": "vavbrs/xgb-starter-in-python-58806e", "kernel_id": "190752"}, {"ref": "clinzy/xgb-starter-in-python-7f4ebe", "kernel_id": "185709"}, {"ref": "clinzy/xgb-starter-in-python", "kernel_id": "182087"}, {"ref": "yonidahan/gbm-example-using-h2o", "kernel_id": "183665"}, {"ref": "colingrodecoeur/notebooka2ec81f595", "kernel_id": "232324"}, {"ref": "colingrodecoeur/first-try", "kernel_id": "232325"}, {"ref": "ryutek/xgb-starter-in-python", "kernel_id": "194664"}, {"ref": "orliwe/notebookf67dfe1af1", "kernel_id": "209206"}, {"ref": "piyushjaiswal14/xgb-starter-in-python", "kernel_id": "188080"}, {"ref": "bborya/notebook19f64c7f51", "kernel_id": "209083"}, {"ref": "bborya/notebookf2fa4ce515", "kernel_id": "209042"}, {"ref": "bborya/notebook7d26f56837", "kernel_id": "209044"}, {"ref": "bborya/notebooke0ebee36fb", "kernel_id": "208880"}, {"ref": "rsenthil/microsoft-lightgbm-starter", "kernel_id": "241992"}, {"ref": "guochen0706/cv-statistics-edited-0-5346-score-04e9f5", "kernel_id": "227716"}, {"ref": "guochen0706/extratreeclassifier", "kernel_id": "243184"}, {"ref": "bruttoblotto/how-to-deal-with-features-in-renthop-data-part-ii", "kernel_id": "190397"}, {"ref": "cambridgelove/notebookc590137599", "kernel_id": "204016"}, {"ref": "commbigo/simple-exploration-notebook-2-connect", "kernel_id": "180835"}, {"ref": "karupps/notebook73ff0b3f98", "kernel_id": "228761"}, {"ref": "justfor/sentiment", "kernel_id": "236052"}, {"ref": "poonaml/two-sigma-renthop-eda", "kernel_id": "180097"}, {"ref": "axelderomblay/mlbox-a-fully-automated-package", "kernel_id": "415588"}, {"ref": "joswin/notebookd94a990bff", "kernel_id": "180323"}, {"ref": "lostfingers/baseline", "kernel_id": "179439"}, {"ref": "sleepermonkey/just-study", "kernel_id": "205194"}, {"ref": "woutermostard/notebookcd9363bd39", "kernel_id": "190173"}, {"ref": "sudhakargowda/notebookec97edf307", "kernel_id": "206089"}, {"ref": "sudhakargowda/notebook0be0f1faab", "kernel_id": "205213"}, {"ref": "sudhakargowda/notebookd34a29ee54", "kernel_id": "205220"}, {"ref": "drsonic/notebookba204fb714", "kernel_id": "179745"}, {"ref": "manishranjan0805/how-to-correctly-load-data-into-r", "kernel_id": "182175"}, {"ref": "justindeed/google-earth-exploration", "kernel_id": "181338"}, {"ref": "nnormandin/it-is-lit", "kernel_id": "213255"}, {"ref": "vikramlance/simple-exploration-notebook-2-connect", "kernel_id": "180744"}, {"ref": "vikramlance/xgb-starter-in-python", "kernel_id": "180383"}, {"ref": "rahultej/xgb-starter-in-python", "kernel_id": "208554"}, {"ref": "harshratde/notebookf59621564b", "kernel_id": "180749"}, {"ref": "ykaradayi/notebook1c08fb68be", "kernel_id": "221119"}, {"ref": "ykaradayi/notebookda456efc45", "kernel_id": "229629"}, {"ref": "ykaradayi/notebook57c4285301", "kernel_id": "230130"}, {"ref": "ykaradayi/cv-statistics-edited-0-5346-score-new-features", "kernel_id": "229311"}, {"ref": "ykaradayi/notebook2e0d77f52f", "kernel_id": "229084"}, {"ref": "ykaradayi/xgboost-test", "kernel_id": "236521"}, {"ref": "ykaradayi/xgboost-1", "kernel_id": "236000"}, {"ref": "ykaradayi/notebook64371380f2", "kernel_id": "235988"}, {"ref": "ykaradayi/xgboost1", "kernel_id": "238543"}, {"ref": "ykaradayi/notebookc9010fb472", "kernel_id": "238551"}, {"ref": "ykaradayi/xgboost-script4", "kernel_id": "230719"}, {"ref": "ykaradayi/xgboost-lit-new-features", "kernel_id": "231522"}, {"ref": "ykaradayi/randomforest-2", "kernel_id": "231335"}, {"ref": "ykaradayi/rf-base-1", "kernel_id": "233619"}, {"ref": "ykaradayi/notebook68cbde64b7", "kernel_id": "233593"}, {"ref": "ykaradayi/randomforest-base", "kernel_id": "233537"}, {"ref": "ykaradayi/notebooke9c9e66f6e", "kernel_id": "258261"}, {"ref": "ykaradayi/notebook4e68b165b5", "kernel_id": "254488"}, {"ref": "ykaradayi/notebook9dadaccfdd", "kernel_id": "254492"}, {"ref": "ykaradayi/weighted-avarage-2", "kernel_id": "261597"}, {"ref": "ykaradayi/weighted-avarage", "kernel_id": "261116"}, {"ref": "ykaradayi/xgboost-extended", "kernel_id": "262074"}, {"ref": "ykaradayi/notebook506b17c2ab", "kernel_id": "262039"}, {"ref": "ykaradayi/xgboost-extended-4", "kernel_id": "262162"}, {"ref": "ykaradayi/xgboost-extended-b", "kernel_id": "262579"}, {"ref": "ykaradayi/stacker-starter1", "kernel_id": "259666"}, {"ref": "ykaradayi/xgboost-stacked", "kernel_id": "260025"}, {"ref": "ykaradayi/xgboost-extended-c", "kernel_id": "262828"}, {"ref": "musicien82/notebookb210ba55d2", "kernel_id": "215015"}, {"ref": "musicien82/notebooka57baf3310", "kernel_id": "215017"}, {"ref": "vlarine/xgboost-starter", "kernel_id": "179866"}, {"ref": "rajkiran/simple-exploration-notebook-2-connect", "kernel_id": "180645"}, {"ref": "onedwd/visualizing-two-sigma-connect-dataset", "kernel_id": "181355"}, {"ref": "onedwd/notebook1ae9c5c25d", "kernel_id": "181358"}, {"ref": "onedwd/notebook6072aaf4ac", "kernel_id": "181359"}, {"ref": "onedwd/notebookf2bb903c00", "kernel_id": "181360"}, {"ref": "anilwurity/data-exploration-two-sigma-renthop", "kernel_id": "240835"}, {"ref": "paurabassa/final-submission", "kernel_id": "241561"}, {"ref": "paurabassa/cv-statistics-better-parameters-and-explaination", "kernel_id": "242043"}, {"ref": "paurabassa/final-submission-save-data", "kernel_id": "242891"}, {"ref": "paurabassa/data-process", "kernel_id": "242790"}, {"ref": "paurabassa/notebookd21a4e47fb", "kernel_id": "235007"}, {"ref": "kalyanallada/notebookcf186ec222", "kernel_id": "186502"}, {"ref": "kalyanallada/notebook7edb8a3cc0", "kernel_id": "187511"}, {"ref": "kalyanallada/improve-perfomances-using-manager-features", "kernel_id": "187513"}, {"ref": "kalyanallada/simple-data-exploration", "kernel_id": "192236"}, {"ref": "dataisdestiny/simple-exploration-notebook-2-connect", "kernel_id": "180656"}, {"ref": "chriscc/cv-statistics-better-parameters-and-explai-a51c85", "kernel_id": "236181"}, {"ref": "chriscc/it-is-litghjhg", "kernel_id": "207879"}, {"ref": "jmorrise/test-notebook", "kernel_id": "179661"}, {"ref": "vanausloos/random-forest-starter-with-numerical-features", "kernel_id": "179888"}, {"ref": "vanausloos/model1-generalized-boosted-regression-model", "kernel_id": "179950"}, {"ref": "gd10396101/first-exploration-and-modeling", "kernel_id": "205724"}, {"ref": "gd10396101/notebookc0a488116b", "kernel_id": "205734"}, {"ref": "xiaoyuwang/it-is-lit", "kernel_id": "204709"}, {"ref": "jaydentan/notebook8b84290476", "kernel_id": "186854"}, {"ref": "lovestat/notebookc7065c32e4", "kernel_id": "185703"}, {"ref": "lovestat/simple-exploration-notebook-2-connect", "kernel_id": "185746"}, {"ref": "agerbeaux/can-a-computer-say-a-1000-words-from-a-picture", "kernel_id": "185702"}, {"ref": "rsalaschile/h2o-starter-pack", "kernel_id": "179491"}, {"ref": "rsalaschile/test-01", "kernel_id": "180027"}, {"ref": "rsalaschile/notebook5aef7b0c34", "kernel_id": "180201"}, {"ref": "rsalaschile/notebook5aef7b0c34-62481097", "kernel_id": "180428"}, {"ref": "neviadomski/data-exploration-two-sigma-renthop", "kernel_id": "229786"}, {"ref": "germangoni/simple-exploration-notebook-2-connect", "kernel_id": "180133"}, {"ref": "germangoni/random-forest-starter-with-numerical-features", "kernel_id": "180086"}, {"ref": "enrique1500/rental-listing-ny-map", "kernel_id": "180518"}, {"ref": "chanho/notebook7d94754ab8", "kernel_id": "184006"}, {"ref": "chanho/notebook8fd67ac9a4", "kernel_id": "184007"}, {"ref": "shubh24/neighborhood-as-factor-reverse-geocoding", "kernel_id": "190046"}, {"ref": "blairhudson/rental-interest-classifier-w-latlong-and-features", "kernel_id": "236101"}, {"ref": "guppi3695/xgb-starter-in-python", "kernel_id": "180237"}, {"ref": "guppi3695/xgb-starter-in-python-bdce31", "kernel_id": "193958"}, {"ref": "guppi3695/notebooka66d275963", "kernel_id": "190561"}, {"ref": "randxie/notebook2c52e55b46", "kernel_id": "202717"}, {"ref": "yyalbert/xgboost-starter-for-r", "kernel_id": "185924"}, {"ref": "nemanjar/two-sigma-rental-listing-eda", "kernel_id": "179343"}, {"ref": "lori0215/xgb-starter-in-python", "kernel_id": "181470"}, {"ref": "yinsezidan/notebook74fc2fbfd5", "kernel_id": "179436"}, {"ref": "priteshjain/simple-exploration-notebook-2-connect-f3a2d7", "kernel_id": "210411"}, {"ref": "uday09/notebook6bfeb0e166", "kernel_id": "182176"}, {"ref": "uday09/notebook15b8204328", "kernel_id": "182173"}, {"ref": "lucao66/can-a-computer-say-a-1000-words-from-a-picture", "kernel_id": "218666"}, {"ref": "lucao66/can-a-computer-say-a-1000-words-from-a-pict-b23d1f", "kernel_id": "219382"}, {"ref": "ragu26/notebook07120774a2", "kernel_id": "239295"}, {"ref": "ragu26/notebook55b88e9ed7", "kernel_id": "238501"}, {"ref": "frabi/simple-exploration-notebook-2-connect", "kernel_id": "182224"}, {"ref": "frabi/feature-engineering-1-sentiment-analysis-2", "kernel_id": "227026"}, {"ref": "frabi/notebook7943fa3337", "kernel_id": "227030"}, {"ref": "frabi/xgb-starter-in-python", "kernel_id": "184865"}, {"ref": "chikenfeet/read-file", "kernel_id": "179410"}, {"ref": "chikenfeet/sub-1", "kernel_id": "179454"}, {"ref": "chikenfeet/adaboost-classifier-vs-random-forest-2", "kernel_id": "241685"}, {"ref": "chikenfeet/adaboost-classifier-vs-random-forest", "kernel_id": "241648"}, {"ref": "chikenfeet/xgb-3", "kernel_id": "242556"}, {"ref": "chikenfeet/xgb-4", "kernel_id": "242590"}, {"ref": "chikenfeet/xgb-1", "kernel_id": "242503"}, {"ref": "chikenfeet/xgb-2", "kernel_id": "242523"}, {"ref": "nitsourish/image-exploratory", "kernel_id": "189444"}, {"ref": "nitsourish/xg-boost", "kernel_id": "190839"}, {"ref": "iamchanging/notebook314dfbea69", "kernel_id": "205111"}, {"ref": "cowking/it-is-lit", "kernel_id": "221512"}, {"ref": "cowking/xgb-starter-in-python", "kernel_id": "181486"}, {"ref": "shrimp/simple-exploration-notebook-2-connect", "kernel_id": "193315"}, {"ref": "oelesin/basic-exploration-notebook-two-sigma-rental", "kernel_id": "189946"}, {"ref": "jasmineangel/folked-xgb-as-basedmodel-1-in-r", "kernel_id": "241131"}, {"ref": "jasmineangel/notebooke5f90ccae4", "kernel_id": "241119"}, {"ref": "jasmineangel/starter-script-rf-as-basemodel2", "kernel_id": "241156"}, {"ref": "ksayantani/exploratory-analysis-on-data", "kernel_id": "201234"}, {"ref": "ksayantani/cv-statistics-better-parameters-and-explaination", "kernel_id": "241864"}, {"ref": "ksayantani/microsoft-lightgbm-starter", "kernel_id": "241880"}, {"ref": "ksayantani/neighborhoods-instead-of-lat-long", "kernel_id": "241892"}, {"ref": "monikasun88/notebook9389759ea5", "kernel_id": "203544"}, {"ref": "hamstermood/cv-statistics-better-parameters-and-explaination", "kernel_id": "233913"}, {"ref": "burakhmmtgl/sentiment-analysis-using-tm-and-xgboost-packages", "kernel_id": "187070"}, {"ref": "srrobert50/xgb-starter-in-python", "kernel_id": "201514"}, {"ref": "pallabs/second-attempt", "kernel_id": "235670"}, {"ref": "bradtrew/firstscript", "kernel_id": "182264"}, {"ref": "amitabha/notebook9bf90594a3", "kernel_id": "209168"}, {"ref": "gavinwu/using-description-as-the-only-feature-72-cv", "kernel_id": "225639"}, {"ref": "maoxing/simple-exploration-notebook-2-connect", "kernel_id": "179980"}, {"ref": "maoxing/notebookb509510fcf", "kernel_id": "179953"}, {"ref": "imsharad/notebookb785e3b46f", "kernel_id": "241130"}, {"ref": "imsharad/notebook8ffdbae3f2", "kernel_id": "239816"}, {"ref": "imsharad/notebook2a4fb4ce59", "kernel_id": "212999"}, {"ref": "imsharad/notebookce25db36fe", "kernel_id": "226649"}, {"ref": "imsharad/notebookc8d8ce5025", "kernel_id": "190981"}, {"ref": "zzjin13/xgb-starter-in-python", "kernel_id": "209775"}, {"ref": "zzjin13/notebook0dd0211d49", "kernel_id": "230811"}, {"ref": "fangxiaofang/numerical-categorical-variable-preprocessing", "kernel_id": "180696"}, {"ref": "vkchan/notebook8a102ccec6", "kernel_id": "203011"}, {"ref": "ipetukhov/notebook05043a479a", "kernel_id": "181689"}, {"ref": "zhenyiy/notebook89fbda4670", "kernel_id": "179332"}, {"ref": "nanu146/random-forest-starter-with-numerical-features", "kernel_id": "181851"}, {"ref": "arpangupta87/notebook6eac0f98cf", "kernel_id": "208909"}, {"ref": "icyblade/exploration-notebook", "kernel_id": "179624"}, {"ref": "moouad/notebook72fd0a1488", "kernel_id": "234864"}, {"ref": "themixedfermions/check-zeros-in-the-data", "kernel_id": "204111"}, {"ref": "themixedfermions/notebooka31e9b38a4", "kernel_id": "200316"}, {"ref": "themixedfermions/exploration-one", "kernel_id": "200517"}, {"ref": "themixedfermions/notebook8001f12086", "kernel_id": "183746"}, {"ref": "patrickhess/starter", "kernel_id": "234193"}, {"ref": "antrix/notebook94e5f956e0", "kernel_id": "235323"}, {"ref": "antrix/notebooka234b0612b", "kernel_id": "235329"}, {"ref": "vadimmalykh/what-is-the-data", "kernel_id": "193597"}, {"ref": "vadimmalykh/looking-at-the-data", "kernel_id": "193588"}, {"ref": "klalawei/listing-files", "kernel_id": "179323"}, {"ref": "niru3991/rental-listing-interest-level-prediction-in-python", "kernel_id": "179370"}, {"ref": "unlikelybutpossible/xgb-starter-in-python", "kernel_id": "196485"}, {"ref": "mikell/notebookf872a92713", "kernel_id": "211547"}, {"ref": "toto727/notebook8739d00c73", "kernel_id": "202538"}, {"ref": "toto727/test123", "kernel_id": "202539"}, {"ref": "toto727/xgb-starter-in-python", "kernel_id": "192132"}, {"ref": "akshaynaik/renthop", "kernel_id": "202836"}, {"ref": "deep27/two-sigma-renthop-eda", "kernel_id": "226858"}, {"ref": "jdpaletto/plot-xgboost-features-updated-hyperparamters", "kernel_id": "198610"}, {"ref": "anastasiakuznetsova/notebook01d97fad5b", "kernel_id": "179854"}, {"ref": "naouelsakhraoui/notebookfdcb94fbc1", "kernel_id": "195799"}, {"ref": "dvirts/test-notebook", "kernel_id": "180299"}, {"ref": "dvirts/renthop-data-competition-exploratory-notebook", "kernel_id": "180186"}, {"ref": "happycube/a-convolutional-nn-for-description-678-publb", "kernel_id": "225860"}, {"ref": "camdenclark/notebookbe9360a2ff", "kernel_id": "210317"}, {"ref": "camdenclark/feature-extraction-predicted-prices", "kernel_id": "210318"}, {"ref": "vedgupta/xgb-starter-in-python", "kernel_id": "180583"}, {"ref": "vedgupta/xgb-starter-in-python-944feec4", "kernel_id": "180586"}, {"ref": "yobabe/base-model", "kernel_id": "231275"}, {"ref": "yobabe/notebook64daae8271", "kernel_id": "231342"}, {"ref": "yobabe/notebookfe12faecfe", "kernel_id": "231153"}, {"ref": "agavranis/170328-python1", "kernel_id": "221816"}, {"ref": "raghunanden/xgb-starter-in-python", "kernel_id": "214236"}, {"ref": "raghunanden/notebook977b032294", "kernel_id": "215417"}, {"ref": "randalllin92/notebook201124b40e", "kernel_id": "179284"}, {"ref": "jeremiedb/notebook3c24e91470", "kernel_id": "201539"}, {"ref": "jeremiedb/notebook467d4f2cb1", "kernel_id": "201542"}, {"ref": "diogogomes/text-analysis-classifying-listings-with-features", "kernel_id": "184819"}, {"ref": "dandanbang/notebooka60fd02ec8", "kernel_id": "203234"}, {"ref": "apapiu/xgb-starter-in-python", "kernel_id": "180727"}, {"ref": "apapiu/notebookb8ff75faae", "kernel_id": "180719"}, {"ref": "pramud/notebooka4a8ea7040", "kernel_id": "215859"}, {"ref": "ayushgupta1994/start", "kernel_id": "179627"}, {"ref": "kaigeyang/notebook373b9cf964", "kernel_id": "203169"}, {"ref": "kaigeyang/notebookf2cf62c72c", "kernel_id": "203951"}, {"ref": "kaigeyang/manager-skill", "kernel_id": "222779"}, {"ref": "kaigeyang/cv-statistics-better-parameters-and-explaination", "kernel_id": "237400"}, {"ref": "qqgeogor/improve-perfomances-using-manager-features", "kernel_id": "188031"}, {"ref": "qqgeogor/benchmark-lr", "kernel_id": "179947"}, {"ref": "longrc1221/simple-exploration-notebook-2-connect", "kernel_id": "188971"}, {"ref": "druidh/notebook82a4546eed", "kernel_id": "209165"}, {"ref": "chenchaodev/two-sigma-connect-rental-listing-inquiries-01", "kernel_id": "183439"}, {"ref": "jidong/getting-started", "kernel_id": "179578"}, {"ref": "jidong/random-forest-starter-with-numerical-features", "kernel_id": "179728"}, {"ref": "rahul2992/random-forest-with-simple-feature-engineering", "kernel_id": "202391"}, {"ref": "netphone/can-a-computer-say-a-1000-words-from-a-picture", "kernel_id": "241792"}, {"ref": "rnfmfmfm/exploratory-analysis-with-commentary", "kernel_id": "215743"}, {"ref": "rnfmfmfm/notebook8f3cb7e025", "kernel_id": "211061"}, {"ref": "rnfmfmfm/notebook63a5d27e28", "kernel_id": "211065"}, {"ref": "rnfmfmfm/test-xgb-python", "kernel_id": "221651"}, {"ref": "emmating/notebook0898869af8", "kernel_id": "187564"}, {"ref": "emmating/notebook6491d0c7bf", "kernel_id": "186884"}, {"ref": "emmating/notebook323265f092", "kernel_id": "185009"}, {"ref": "emmating/notebookd7b57c28a1", "kernel_id": "185671"}, {"ref": "tunguz/xgb-modified-3", "kernel_id": "183128"}, {"ref": "ermochi/xgb-starter-in-python", "kernel_id": "189113"}, {"ref": "sbeck27/getting-started", "kernel_id": "179831"}, {"ref": "millerintllc/text-mining-starter", "kernel_id": "209085"}, {"ref": "jiaqiangbandongg/notebook9e8bf8de38", "kernel_id": "204856"}, {"ref": "aleady/random-forest-starter-with-numerical-features", "kernel_id": "181307"}, {"ref": "aleady/simple-exploration-notebook-2-connect", "kernel_id": "190132"}, {"ref": "mathcode/trying-for-regression", "kernel_id": "197074"}, {"ref": "awangntu/eda-rental-listing", "kernel_id": "181804"}, {"ref": "awangntu/eda-raise-your-questions", "kernel_id": "188677"}, {"ref": "dm14301027/just-a-kernel-test-for-nothing", "kernel_id": "243204"}, {"ref": "weiguoye/improve-perfomances-using-manager-features", "kernel_id": "196013"}, {"ref": "enemis/notebook2792329e81", "kernel_id": "180147"}, {"ref": "ramanalytics1/notebookd8e583c538", "kernel_id": "230461"}, {"ref": "dm14301020/cv-statistics-better-parameters-and-explaination", "kernel_id": "254619"}, {"ref": "juliocesar/notebooka3ab619608", "kernel_id": "235947"}, {"ref": "rahulgopal/renthop", "kernel_id": "218625"}, {"ref": "rodrigomalacarne/data-analysis", "kernel_id": "179386"}, {"ref": "rodrigomalacarne/notebookc5c85ec80d", "kernel_id": "179395"}, {"ref": "iamparthsinghal/simple-exploration-notebook-2-connect", "kernel_id": "193233"}, {"ref": "rzhang18/another-python-version-of-it-is-lit-by-branden", "kernel_id": "222022"}, {"ref": "plaguecity/cv-statistics-better-parameters-and-explaination", "kernel_id": "235305"}, {"ref": "xiaoleizhang1/random-forest-starter-with-numerical-features", "kernel_id": "201726"}, {"ref": "aurelian/notebook3ee45f7362", "kernel_id": "194201"}, {"ref": "loikaggle/notebookf8a890072b", "kernel_id": "188102"}, {"ref": "alexandrearaujo/notebookaf2da1b67e", "kernel_id": "207767"}, {"ref": "petermartigny/notebook7b7d4723aa", "kernel_id": "180144"}, {"ref": "jasonyangphoto/exploratory-data-analytics", "kernel_id": "203685"}, {"ref": "headings/xgb-starter-in-python", "kernel_id": "184669"}, {"ref": "asogani/notebook27788422a5", "kernel_id": "203325"}, {"ref": "asogani/data-explore-2", "kernel_id": "201558"}, {"ref": "andrewjdyck/2sig-recruitment", "kernel_id": "211844"}, {"ref": "andrewjdyck/notebook52a111278f", "kernel_id": "211884"}, {"ref": "andrewjdyck/test-submission-by-it-is-lit", "kernel_id": "211847"}, {"ref": "yanghsu7/notebookde9fc1f47c", "kernel_id": "228256"}, {"ref": "ygtcrt/how-to-deal-with-features", "kernel_id": "180622"}, {"ref": "ygtcrt/how-to-deal-with-features-in-renthop-data", "kernel_id": "180623"}, {"ref": "soyoungkim/cv-statistics-better-parameters-and-explai-106a95", "kernel_id": "249979"}, {"ref": "soyoungkim/rent-interest-classifier", "kernel_id": "234636"}, {"ref": "soyoungkim/cv-statistics-better-parameters-and-explaination", "kernel_id": "239876"}, {"ref": "pradeepjeya/eda-tfidf-and-other-features", "kernel_id": "216846"}, {"ref": "bankhv/xgb-starter-in-python", "kernel_id": "180756"}, {"ref": "sjagdale/first", "kernel_id": "179616"}, {"ref": "vivek8943/notebook4d9e0717ec", "kernel_id": "227580"}, {"ref": "wangruobing888/it-is-lit", "kernel_id": "209095"}, {"ref": "wangruobing888/it-is-litghjhg", "kernel_id": "209144"}, {"ref": "yzf111/notebookad9d939e64", "kernel_id": "240755"}, {"ref": "yzf111/final-submission", "kernel_id": "240727"}, {"ref": "soham92/rental-listing-interest-level-prediction-in-python", "kernel_id": "179359"}, {"ref": "tamirst/cv-statistics-better-parameters-and-explaination", "kernel_id": "238611"}, {"ref": "faamin/notebook39bb832c5c", "kernel_id": "204497"}, {"ref": "ug2409/notebookfd773ef101", "kernel_id": "219877"}, {"ref": "ug2409/notebook714889f792", "kernel_id": "220356"}, {"ref": "ug2409/using-description-as-the-only-feature-72-cv", "kernel_id": "220802"}, {"ref": "brandao/10th-fev-2017", "kernel_id": "181303"}, {"ref": "brandao/notebook106e0cd9dd", "kernel_id": "222220"}, {"ref": "brandao/xgboost-version2", "kernel_id": "231173"}, {"ref": "milihadziomerovic/how-to-correctly-load-data-into-r", "kernel_id": "182907"}, {"ref": "qingzhang/notebook61c98521f1", "kernel_id": "182927"}, {"ref": "arihantkumarjain/understanding-the-two-sigma-renthop-data", "kernel_id": "240425"}, {"ref": "yueguo1217/simple-exploration-notebook-2-connect", "kernel_id": "181223"}, {"ref": "bfactura/cv-statistics-better-parameters-and-explaination", "kernel_id": "231740"}, {"ref": "davetb/eda-and-simple-image-processing", "kernel_id": "180141"}, {"ref": "davetb/random-forest-starter-with-numerical-features", "kernel_id": "179961"}, {"ref": "davetb/simple-exploration-notebook-2-connect", "kernel_id": "179923"}, {"ref": "kaukab/exploring-in-r", "kernel_id": "214672"}, {"ref": "yananwu/simple-exploration-notebook-2-connect", "kernel_id": "189387"}, {"ref": "memery44/xgb-starter-in-python", "kernel_id": "186288"}, {"ref": "mohdshadab/xgboost-algo-using-r", "kernel_id": "217705"}, {"ref": "mohdshadab/exploratory-analysis-using-r", "kernel_id": "199802"}, {"ref": "fmassoud/xgb-starter-in-python", "kernel_id": "180508"}, {"ref": "fmassoud/random-forest-starter-with-numerical-features", "kernel_id": "180502"}, {"ref": "turkoh/simple-exploration-notebook-2-connect", "kernel_id": "197316"}, {"ref": "moefasa/getting-neighborhoods-from-coordinates", "kernel_id": "179770"}, {"ref": "davidchris/simple-exploration-notebook-2-connect", "kernel_id": "181755"}, {"ref": "nicolassarramagna/first-implementation", "kernel_id": "200783"}, {"ref": "ktts1031/sample-01", "kernel_id": "233401"}, {"ref": "francescoimbriglia/notebook514627c6ab", "kernel_id": "179868"}, {"ref": "tumbzilla/attempt2twosigmax", "kernel_id": "238491"}, {"ref": "tumbzilla/notebookfcd0d61163", "kernel_id": "238570"}, {"ref": "tumbzilla/fork-of-attempt2twosigmax", "kernel_id": "239421"}, {"ref": "heatherc/notebook83fb769319", "kernel_id": "208072"}, {"ref": "qianqianowo/notebook7e7b20fb21", "kernel_id": "198154"}, {"ref": "doubled2190/notebookbd8f8d5d4a", "kernel_id": "211819"}, {"ref": "doubled2190/rent-hop-eda", "kernel_id": "211820"}, {"ref": "agzamovr/simple-exploration-notebook-2-connect", "kernel_id": "183332"}, {"ref": "agzamovr/xgb-starter-in-python", "kernel_id": "183333"}, {"ref": "nmud19/nik-xgb-starter", "kernel_id": "201866"}, {"ref": "nmud19/notebooka79124ab39", "kernel_id": "227466"}, {"ref": "nmud19/notebookc3281fe1d8", "kernel_id": "217398"}, {"ref": "nmud19/notebook942245f2c2", "kernel_id": "215595"}, {"ref": "nmud19/cv-statistics-better-parameters-and-explai-030ac1", "kernel_id": "235275"}, {"ref": "kareemw9/2sigma", "kernel_id": "223284"}, {"ref": "ljubica/first-solution", "kernel_id": "217525"}, {"ref": "dm14301003/xgboost-gdy", "kernel_id": "241020"}, {"ref": "inakdwl/two-sigma-connect-rental-listing", "kernel_id": "189619"}, {"ref": "inakdwl/notebookcd1910df26", "kernel_id": "190597"}, {"ref": "dm14301006/cv-statistics-better-parameters-and-explaination", "kernel_id": "241418"}, {"ref": "qiaochu/homes-prediction", "kernel_id": "179694"}, {"ref": "nachocarracedo/notebook9857d9f0ef", "kernel_id": "193460"}, {"ref": "amit5s3/notebook9eb61b8488", "kernel_id": "217178"}, {"ref": "amit5s3/rental", "kernel_id": "217179"}, {"ref": "mechenix/notebookb1aefa7ae0", "kernel_id": "234673"}, {"ref": "arjoonn/interest-on-the-globe", "kernel_id": "180759"}, {"ref": "evgeniymalishev/exploration-notebook", "kernel_id": "183852"}, {"ref": "ogrellier/notebook25485d1bbb", "kernel_id": "203474"}, {"ref": "ogrellier/median-rental-prices-matter", "kernel_id": "203517"}, {"ref": "ogrellier/starter", "kernel_id": "195907"}, {"ref": "ogrellier/notebookc9811363db", "kernel_id": "189509"}, {"ref": "veerabhadrappa/2-sigma-data-insights", "kernel_id": "266479"}, {"ref": "abhisheksrathore/notebookbba0c098a8", "kernel_id": "179576"}, {"ref": "abhisheksrathore/notebook5a48da2872", "kernel_id": "179577"}, {"ref": "vondie/notebookdb57a2ebea", "kernel_id": "180191"}, {"ref": "reynaldo/different-way-of-showing-features-and-maps", "kernel_id": "193455"}, {"ref": "sarkadiu/cv-statistics-better-parameters-and-explaination", "kernel_id": "232197"}, {"ref": "wxingli/cv-statistics-better-parameters-and-explaination", "kernel_id": "234158"}, {"ref": "octthe16th/xgb-modified", "kernel_id": "183708"}, {"ref": "octthe16th/xgb-starter-in-python-ec50ba1d", "kernel_id": "181148"}, {"ref": "octthe16th/xgb-starter-in-python", "kernel_id": "180336"}, {"ref": "octthe16th/xgb-starter-in-python-aae2431a", "kernel_id": "180339"}, {"ref": "ankane/xgb-starter-in-python", "kernel_id": "185125"}, {"ref": "timgasser/notebookb6a5b3339d", "kernel_id": "203950"}, {"ref": "ankitkul/twosigma", "kernel_id": "244152"}, {"ref": "narasimmanr/renthop-using-tensorflow", "kernel_id": "234830"}, {"ref": "raghu743/notebook41537493ca", "kernel_id": "179659"}, {"ref": "anokas/notebooka5d9c8fd4d", "kernel_id": "179375"}, {"ref": "anokas/renthop-eda", "kernel_id": "179342"}, {"ref": "evanwang1028/2j5n5j6o", "kernel_id": "181202"}, {"ref": "grasshaha/notebookeaa3a2995f", "kernel_id": "191688"}, {"ref": "grasshaha/notebook0975f972df", "kernel_id": "191684"}, {"ref": "grasshaha/notebookad436e6008", "kernel_id": "191707"}, {"ref": "grasshaha/notebooke574033d1b", "kernel_id": "191677"}, {"ref": "grasshaha/notebookd80fffac29", "kernel_id": "191679"}, {"ref": "grasshaha/notebook728c1cc102", "kernel_id": "193618"}, {"ref": "grasshaha/notebook3811c16d83", "kernel_id": "193857"}, {"ref": "ehickman/notebook2edc4ac48f", "kernel_id": "184716"}, {"ref": "huangmatthieu/cv-statistics-better-parameters-and-explaination", "kernel_id": "232117"}, {"ref": "longint/another-python-version-of-it-is-lit-by-branden", "kernel_id": "218794"}, {"ref": "monotoneoff/notebook4781540ce3", "kernel_id": "226811"}, {"ref": "ystao1980/xgb-starter-in-python", "kernel_id": "193628"}, {"ref": "mlanier/notebookcd71703b87", "kernel_id": "234080"}, {"ref": "mlanier/notebooke43446d3dd", "kernel_id": "234046"}, {"ref": "wanganshu/notebook3bdbaa8bc6", "kernel_id": "181659"}, {"ref": "wanganshu/random-forest-starter-with-numerical-features", "kernel_id": "183966"}, {"ref": "yz5548/notebook5ff8568808", "kernel_id": "180396"}, {"ref": "yz5548/notebookd8c06bc6e1", "kernel_id": "209314"}, {"ref": "susanarr/random-forest-starter-with-numerical-features", "kernel_id": "181616"}, {"ref": "knimish/simple-exploration-notebook-2-connect", "kernel_id": "184205"}, {"ref": "aceman/it-is-lit", "kernel_id": "206456"}, {"ref": "chenyawei/notebooka38a9043af", "kernel_id": "210280"}, {"ref": "kylemix/notebook175c2b1b80", "kernel_id": "180695"}, {"ref": "epattaro/notebook4985ad0ca8", "kernel_id": "188359"}, {"ref": "themissingsock/n-gram-generation-from-listing-features", "kernel_id": "232415"}, {"ref": "themissingsock/exploring-renthop-data", "kernel_id": "222308"}, {"ref": "mtinti/xgb-modified", "kernel_id": "182483"}, {"ref": "mtinti/cv-statistics-edited-0-5346-score", "kernel_id": "227859"}, {"ref": "gtrimarc/simple-exploration-notebook-2-connect", "kernel_id": "195631"}, {"ref": "yjin910517/feature-text-exploration-with-re", "kernel_id": "210492"}, {"ref": "cclzxl/notebook906d677e55", "kernel_id": "230637"}, {"ref": "czlowiekrakieta/tf-idf-clusters-and-naive-features", "kernel_id": "238226"}, {"ref": "stoffle/notebook13078e7ac5", "kernel_id": "179286"}, {"ref": "chinstan/my-diary", "kernel_id": "240862"}, {"ref": "wanglf/simple-exploration-notebook-2-connect", "kernel_id": "185531"}, {"ref": "thonle/simple-exploration-notebook-2-connect", "kernel_id": "186534"}, {"ref": "stevenmac/notebookcb80394aa8", "kernel_id": "186270"}, {"ref": "roseyutt/singlexgb-cv-0-5281-but-lb-is-not-that-good", "kernel_id": "223906"}, {"ref": "temporal/notebook8031550e47", "kernel_id": "179429"}, {"ref": "notia81/notebook3d65aedcbf", "kernel_id": "196380"}, {"ref": "aseembh2001/notebook1fa204a039", "kernel_id": "243279"}, {"ref": "aseembh2001/aseem", "kernel_id": "243275"}, {"ref": "aseembh2001/neighborhoods-instead-of-lat-long", "kernel_id": "242253"}, {"ref": "varunpathi/how-to-correctly-load-data-into-r", "kernel_id": "183923"}, {"ref": "taeheekim/notebook3141e5badf", "kernel_id": "179803"}, {"ref": "taeheekim/notebooka27c01d3de", "kernel_id": "179773"}, {"ref": "taeheekim/notebook21dcc9053b", "kernel_id": "179753"}, {"ref": "raliclo/test-run", "kernel_id": "234460"}, {"ref": "raliclo/rental-listing-inquiries-20170414", "kernel_id": "234429"}, {"ref": "skibaai/random-forest-starter-with-numerical-features", "kernel_id": "266563"}, {"ref": "skibaai/simple-exploration-notebook-2-connect", "kernel_id": "266564"}, {"ref": "arges42/notebookce6723569b", "kernel_id": "181833"}, {"ref": "valyome/notebook54b8a361b3", "kernel_id": "234213"}, {"ref": "minto4644/notebooka73f60057a", "kernel_id": "231242"}, {"ref": "eliotbarr/multiclass-stacking-starter", "kernel_id": "182174"}, {"ref": "herber523/notebook7c00c9814c", "kernel_id": "221661"}, {"ref": "luchaoru/map-of-the-events", "kernel_id": "191249"}, {"ref": "luchaoru/map-of-the-event", "kernel_id": "191237"}, {"ref": "mikeyhu2014/random-forest-starter-with-numerical-features", "kernel_id": "186515"}, {"ref": "mikeyhu2014/test-result", "kernel_id": "186511"}, {"ref": "mikeyhu2014/simple-exploration-notebook-2-connect", "kernel_id": "186512"}, {"ref": "prateekjindal/notebookfd5ccdf23b", "kernel_id": "210018"}, {"ref": "prateekjindal/starter-script-with-xgb-in-r", "kernel_id": "216107"}, {"ref": "zonorti/notebook456cdcfe0a", "kernel_id": "236439"}, {"ref": "aalepee/geolocation-analysis", "kernel_id": "225632"}, {"ref": "rohara171/rohara003", "kernel_id": "187286"}, {"ref": "rohara171/rohara001", "kernel_id": "179278"}, {"ref": "rohara171/rohara002", "kernel_id": "179280"}, {"ref": "talcapa/twosigma", "kernel_id": "202520"}, {"ref": "vbachhav/xgboost-first-try", "kernel_id": "207743"}, {"ref": "hym430430/notebook173ee2d224", "kernel_id": "193289"}, {"ref": "badoun/python-version-of-it-is-lit-by-branden", "kernel_id": "215309"}, {"ref": "vpetukhov/simple-exploration-notebook-2-connect", "kernel_id": "195994"}, {"ref": "vpetukhov/xgb-starter-in-python", "kernel_id": "195995"}, {"ref": "tianzhang1000/notebook22e606d4a0", "kernel_id": "179423"}, {"ref": "hundredths/xgb-starter-in-python", "kernel_id": "184762"}, {"ref": "hundredths/xgb-starter-in-python-18bfb1", "kernel_id": "184765"}, {"ref": "hundredpercent/cv-statistics-edited-0-5346-score", "kernel_id": "228703"}, {"ref": "leozhuo/2-sigma", "kernel_id": "202834"}, {"ref": "leozhuo/notebook97c0366f51", "kernel_id": "212976"}, {"ref": "leozhuo/try-xgboost", "kernel_id": "212962"}, {"ref": "leozhuo/notebook462e0eb972", "kernel_id": "215373"}, {"ref": "mrp903/multinomial-logistic-regression", "kernel_id": "220116"}, {"ref": "peternhan/simple-exploration-notebook-2-connect", "kernel_id": "181907"}, {"ref": "xuantutran/notebook674c10b522", "kernel_id": "220757"}, {"ref": "jinmin/xgboost", "kernel_id": "222700"}, {"ref": "somnisight/microsoft-lightgbm-starter", "kernel_id": "230993"}, {"ref": "szsmith/some-insights-on-building-id", "kernel_id": "194715"}, {"ref": "sankhamukherjee/a-bayesian-framework-for-testing", "kernel_id": "202891"}, {"ref": "sankhamukherjee/basic-visualization", "kernel_id": "179900"}, {"ref": "sankhamukherjee/notebook3521d72c03", "kernel_id": "180854"}, {"ref": "sauravkaushik8/it-is-li", "kernel_id": "208274"}, {"ref": "sauravkaushik8/rentallisting4", "kernel_id": "241307"}, {"ref": "hartleyg/notebook34b3464a7a", "kernel_id": "232408"}, {"ref": "hartleyg/notebook702d3a8ffa", "kernel_id": "232409"}, {"ref": "hartleyg/notebook4969f63e48", "kernel_id": "231156"}, {"ref": "harshmistry04/notebookff9f78f79a", "kernel_id": "186800"}, {"ref": "gan3sh500/trying-to-improve-on-it-is-lit", "kernel_id": "205356"}, {"ref": "gan3sh500/xgb-starter-in-python-099efdeb", "kernel_id": "181714"}, {"ref": "gan3sh500/xgb-starter-in-python-e0cab133", "kernel_id": "183393"}, {"ref": "yermouth/random-forest-starter-with-numerical-features", "kernel_id": "179816"}, {"ref": "koutrgor/feature-engineering-1-sentiment-analysis", "kernel_id": "224007"}, {"ref": "koutrgor/density-based-clustering-of-main-ny-boroughs", "kernel_id": "223058"}, {"ref": "koutrgor/empty-bymistake", "kernel_id": "218153"}, {"ref": "stoney71/notebook06fb9cf508", "kernel_id": "182628"}, {"ref": "stoney71/exploratory-analysis-with-commentary", "kernel_id": "182629"}, {"ref": "terryli/final-submission", "kernel_id": "240533"}, {"ref": "terryli/microsoft-lightgbm-starter-v1", "kernel_id": "240541"}, {"ref": "terryli/random-forest-starter-with-numerical-features", "kernel_id": "240552"}, {"ref": "andingo/notebook049a70cd8f", "kernel_id": "192501"}, {"ref": "om1042/two-sigma-connect-rental-listing-inquiries", "kernel_id": "202889"}, {"ref": "om1042/can-a-computer-say-a-1000-words-from-a-pict-a89872", "kernel_id": "204153"}, {"ref": "om1042/can-a-computer-say-a-1000-words-from-a-picture", "kernel_id": "204147"}, {"ref": "jonschwarz23/a-bit-of-math", "kernel_id": "241780"}, {"ref": "jonschwarz23/two-sigma-renthop-eda", "kernel_id": "242229"}, {"ref": "jonschwarz23/random-forest-starter-with-numerical-features", "kernel_id": "242242"}, {"ref": "root009/first-attempt", "kernel_id": "204546"}, {"ref": "shixw125/image-processing-and-sentiment-analysis", "kernel_id": "226410"}, {"ref": "mikeee/final-submission-lgbm", "kernel_id": "235138"}, {"ref": "kudospop/xgb-starter-in-python", "kernel_id": "182294"}, {"ref": "hcuny0011/it-is-lit", "kernel_id": "207811"}, {"ref": "hcuny0011/average-photo-size-floor-plan-0-1", "kernel_id": "224045"}, {"ref": "hcuny0011/version", "kernel_id": "219903"}, {"ref": "hcuny0011/fork-of-price-compared-to-neighborhood-medi-222", "kernel_id": "237845"}, {"ref": "hcuny0011/price-compared-to-neighborhood-median-get-data", "kernel_id": "237834"}, {"ref": "josephbudin/random-forest-starter-with-numerical-features", "kernel_id": "180925"}, {"ref": "josephbudin/starter-kit", "kernel_id": "180931"}, {"ref": "swarnavallurupalli/random-forestclassifier", "kernel_id": "242467"}, {"ref": "rakeshds/xgb-modified", "kernel_id": "182981"}, {"ref": "amovschin/photo-feature-extraction", "kernel_id": "228783"}, {"ref": "luisblanche/price-compared-to-neighborhood-median", "kernel_id": "212181"}, {"ref": "luisblanche/it-is-lit", "kernel_id": "204495"}, {"ref": "luisblanche/cv-statistics-better-parameters-and-explaination", "kernel_id": "238309"}, {"ref": "wacoder/wacoder-solution", "kernel_id": "216042"}, {"ref": "kuliksv/random-forest-starter-with-numerical-features", "kernel_id": "188067"}, {"ref": "kuliksv/zombie-kernel", "kernel_id": "192185"}, {"ref": "kuliksv/xgb-starter-in-python-6377ad", "kernel_id": "192486"}, {"ref": "hlchen/notebook2fd777c37f", "kernel_id": "194800"}, {"ref": "christopherfrank/basic-features-location-based-avg-price", "kernel_id": "235256"}, {"ref": "wqmike123/notebookb94a483bc2", "kernel_id": "211500"}, {"ref": "wqmike123/notebook399fc35f2c", "kernel_id": "211513"}, {"ref": "kepler/influence-of-number-of-photos", "kernel_id": "205762"}, {"ref": "kepler/basic-text-mining-features-by-interest-level", "kernel_id": "204784"}, {"ref": "dbarkhorn/notebookd0bdf8a3bb", "kernel_id": "179446"}, {"ref": "lucasobara/notebookb168da1345", "kernel_id": "180606"}, {"ref": "lucasobara/naive-approach-of-random-forest-boosting", "kernel_id": "180607"}, {"ref": "anshulagg27/notebook100aa85e7d", "kernel_id": "235536"}, {"ref": "mosroot/simple-exploration-notebook-2-connect", "kernel_id": "192264"}, {"ref": "arnaldcat/notebookdbce5ebbb5", "kernel_id": "195428"}, {"ref": "arnaldcat/unsupervised-and-supervised-neighborhood-encoding", "kernel_id": "213183"}, {"ref": "arnaldcat/random-forest-w-feat-engineering-0-586lb", "kernel_id": "219056"}, {"ref": "arnaldcat/neural-network-w-feat-engineering-0-583lb", "kernel_id": "218962"}, {"ref": "arnaldcat/a-proxy-for-sqft-and-the-interest-on-1-2-baths", "kernel_id": "216080"}, {"ref": "sunrita/random-forest-starter-with-numerical-features", "kernel_id": "182220"}, {"ref": "sunrita/eda-and-simple-image-processing", "kernel_id": "182883"}, {"ref": "sunrita/explore-dataset", "kernel_id": "182763"}, {"ref": "wenbozhao/mistake", "kernel_id": "252044"}, {"ref": "wenbozhao/where-to-improve", "kernel_id": "231788"}, {"ref": "hakabuk/random-forest-with-more-numeric-features", "kernel_id": "183411"}, {"ref": "clientno23/notebook727137d487", "kernel_id": "197668"}, {"ref": "cwaring/starter-script-with-xgb-in-r", "kernel_id": "185773"}, {"ref": "nitink12/nitin-testv7", "kernel_id": "240877"}, {"ref": "nitink12/notebook2fec48b003", "kernel_id": "240856"}, {"ref": "nitink12/test-twosigma-v4", "kernel_id": "236187"}, {"ref": "nitink12/notebook4eda17de72", "kernel_id": "236744"}, {"ref": "nitink12/nitin-testv4", "kernel_id": "236757"}, {"ref": "nitink12/test-twosigma-v1", "kernel_id": "234793"}, {"ref": "abhisheksarma29/notebookaa872f1356", "kernel_id": "234978"}, {"ref": "abhisheksarma29/cv-statistics-better-parameters-and-explaination", "kernel_id": "234172"}, {"ref": "abhisheksarma29/notebookc22a89d6ac", "kernel_id": "231655"}, {"ref": "abhisheksarma29/xgboost-script3", "kernel_id": "232628"}, {"ref": "abhisheksarma29/notebook2f1cea7ff8", "kernel_id": "232815"}, {"ref": "abhisheksarma29/notebook30160ef3dd", "kernel_id": "227602"}, {"ref": "csun14/multinomial-in-r-test-run", "kernel_id": "225771"}, {"ref": "csun14/multinomial-in-r-test-run-1", "kernel_id": "225773"}, {"ref": "csun14/multinomial-in-r-test-run-2", "kernel_id": "225775"}, {"ref": "csun14/multinomial-in-r-test-run-6", "kernel_id": "226245"}, {"ref": "csun14/multinomial-in-r-test-run-5", "kernel_id": "226183"}, {"ref": "edwarts/notebook43e162dce0", "kernel_id": "179932"}, {"ref": "maximilianhahn/notebookc5f34bab79", "kernel_id": "194081"}, {"ref": "maximilianhahn/manager-skill-for-cross-validation-pipelines", "kernel_id": "194084"}, {"ref": "maximilianhahn/cv-statistics-edited-0-5346-score", "kernel_id": "228695"}, {"ref": "maximilianhahn/xgb-starter-in-python-2dd43d33", "kernel_id": "180973"}, {"ref": "sebbybear/two-sigma-housing-interest", "kernel_id": "240174"}, {"ref": "finlay/renthop-image-extract-floorplan-img", "kernel_id": "216149"}, {"ref": "newspeak/notebookc8282b7e76", "kernel_id": "215622"}, {"ref": "pyy1128/pyy-eda-process1", "kernel_id": "218932"}, {"ref": "a654653361/unsupervised-and-supervised-neighborhood-encoding", "kernel_id": "228213"}, {"ref": "liuy296/my-prediction", "kernel_id": "261752"}, {"ref": "liuy296/notebook4ebea2424a", "kernel_id": "261753"}, {"ref": "liuy296/two-sigma-prediction", "kernel_id": "261754"}, {"ref": "liuy296/predict", "kernel_id": "261750"}, {"ref": "aliyaleigh/how-to-correctly-load-data-into-r", "kernel_id": "193587"}, {"ref": "aliyaleigh/notebookb85866688f", "kernel_id": "186982"}, {"ref": "aliyaleigh/aliya-leigh-my-work-first-time-using-this", "kernel_id": "194606"}, {"ref": "aliyaleigh/fork-of-aliya-leigh-my-work-first-time-usin", "kernel_id": "194631"}, {"ref": "aliyaleigh/fork-of-fork-of-aliya-leigh-my-work-first-t", "kernel_id": "194635"}, {"ref": "ivanoliveri/new-features-from-addresses-fields", "kernel_id": "218781"}, {"ref": "dawnwages/prediction-problem-starting-out", "kernel_id": "229768"}, {"ref": "trgosselin14/notebook11575982fd", "kernel_id": "229117"}, {"ref": "nemece/random-forest-starter-with-numerical-features", "kernel_id": "181163"}, {"ref": "anki08/improve-perfomances-using-manager-features", "kernel_id": "189936"}, {"ref": "anki08/using-random-forest", "kernel_id": "191902"}, {"ref": "anki08/xgboost", "kernel_id": "191938"}, {"ref": "anki08/trying-feature-engineering", "kernel_id": "184159"}, {"ref": "anki08/xgboost-on-renthop-data", "kernel_id": "194752"}, {"ref": "anki08/renthop-model", "kernel_id": "229673"}, {"ref": "anki08/randomforest-base1304", "kernel_id": "237083"}, {"ref": "anki08/notebook15e7cdb124", "kernel_id": "237087"}, {"ref": "anki08/tttttttt", "kernel_id": "237089"}, {"ref": "anki08/trying-feature-engineering-2", "kernel_id": "237162"}, {"ref": "anki08/notebook323ae982a7", "kernel_id": "231658"}, {"ref": "anki08/xgboost-version2", "kernel_id": "231932"}, {"ref": "jaeyongan/notebook0f058330ac", "kernel_id": "179393"}, {"ref": "jailor16/test-code", "kernel_id": "241795"}, {"ref": "jailor16/notebook76a950005c", "kernel_id": "241819"}, {"ref": "lxs0202/xgb-starter-in-python", "kernel_id": "208010"}, {"ref": "lxs0202/neighborhoods-instead-of-lat-long", "kernel_id": "235781"}, {"ref": "torrinos/image-processing-and-sentiment-analysis", "kernel_id": "179403"}, {"ref": "torrinos/neighborhood-processing-with-dbscan", "kernel_id": "220086"}, {"ref": "suraj123/notebook1e3d807159", "kernel_id": "215143"}, {"ref": "jrod555/random-forest-starter-with-numerical-features", "kernel_id": "182962"}, {"ref": "jrod555/initial-data-exploration-ml", "kernel_id": "213807"}, {"ref": "oysteijo/rental-neural-network", "kernel_id": "180496"}, {"ref": "menghanli0418/notebookfd442a80ed", "kernel_id": "234504"}, {"ref": "menghanli0418/it-is-lit", "kernel_id": "206439"}, {"ref": "andreilarionov/getting-floorplan-provided-feature", "kernel_id": "224848"}, {"ref": "akshaykumarvikram/how-to-correctly-load-data-into-r", "kernel_id": "185908"}, {"ref": "sheikirfanbasha/twosigma-categoraltonumeric-features", "kernel_id": "212943"}, {"ref": "sheikirfanbasha/renthop-categoraltonumeric-features", "kernel_id": "213069"}, {"ref": "minshiu/notebookb7f96d5de3", "kernel_id": "232071"}, {"ref": "fheybati/first-try", "kernel_id": "208071"}, {"ref": "fheybati/notebook7345d9d180", "kernel_id": "187853"}, {"ref": "sideli/xgb-starter-in-python", "kernel_id": "208792"}, {"ref": "meenakshidas/notebookebfb1dea3f", "kernel_id": "179527"}, {"ref": "madhuvanthi/notebook03a1d224d3", "kernel_id": "179360"}, {"ref": "xchiron/rental-list-knn-on-lat-long-data", "kernel_id": "198984"}, {"ref": "xchiron/exploratory-analysis-for-rental-listing-inquiries", "kernel_id": "197832"}, {"ref": "kathleenzhang18/how-to-correctly-load-data-into-r", "kernel_id": "184925"}, {"ref": "rawbsmoot/notebook857804f125", "kernel_id": "193668"}, {"ref": "zoumt1633/xgboost-for-the-millionth-time-0-54724-lb", "kernel_id": "208042"}, {"ref": "zoumt1633/cv-statistics-better-parameters-and-explaination", "kernel_id": "242124"}, {"ref": "axelius/notebook427967c3fb", "kernel_id": "200732"}, {"ref": "metamatical/xgb-starter-in-python", "kernel_id": "194579"}, {"ref": "sunnyrain/newansa2", "kernel_id": "214489"}, {"ref": "sunnyrain/newansa3", "kernel_id": "214507"}, {"ref": "verowulf/neural-network-w-feat-engineering-0-583lb", "kernel_id": "232823"}, {"ref": "verowulf/cv-statistics-better-parameters-and-explaination", "kernel_id": "241806"}, {"ref": "statsnotmagic/xgbencod", "kernel_id": "208518"}, {"ref": "alijs1/plot-python-xgboost-feature-importances", "kernel_id": "180220"}, {"ref": "kswada/managers-mistakes-or-misterious-data", "kernel_id": "209739"}, {"ref": "kswada/manager-mistakes-or-mysterious-data", "kernel_id": "209722"}, {"ref": "svesal/notebook5260faf127", "kernel_id": "232891"}, {"ref": "luisapires/starter-script-with-xgb-in-r", "kernel_id": "213574"}, {"ref": "luisapires/lsatest", "kernel_id": "229009"}, {"ref": "luisapires/notebookad561e75b3", "kernel_id": "240850"}, {"ref": "luisapires/testscript", "kernel_id": "235010"}, {"ref": "cantstopwontstop/xgb-starter-in-python", "kernel_id": "190293"}, {"ref": "cantstopwontstop/simple-exploration-notebook-2-connect-e113a9", "kernel_id": "191050"}, {"ref": "cantstopwontstop/simple-exploration-notebook-2-connect", "kernel_id": "189308"}, {"ref": "cantstopwontstop/xgb-starter-in-python-59d8b0", "kernel_id": "192452"}, {"ref": "cantstopwontstop/it-is-lit", "kernel_id": "204895"}, {"ref": "mwinnel/data-exploration", "kernel_id": "184118"}, {"ref": "melwinjose/cv-statistics-better-parameters-and-explaination", "kernel_id": "232682"}, {"ref": "melwinjose/distances-to-places", "kernel_id": "243397"}, {"ref": "ericfandel/random-forest-starter-with-numerical-features", "kernel_id": "180626"}, {"ref": "deichenj/random-forest-starter-with-numerical-features", "kernel_id": "179604"}, {"ref": "jzima7/xgb-starter-in-python", "kernel_id": "180510"}, {"ref": "jzima7/python-xgboost", "kernel_id": "180511"}, {"ref": "damianpanek/plots-with-ggmap", "kernel_id": "180416"}, {"ref": "sarinraj92/notebook59d4c7149f", "kernel_id": "205296"}, {"ref": "matrixx/notebook8d7ca1d162", "kernel_id": "222735"}, {"ref": "matrixx/notebook25f5898a68", "kernel_id": "222736"}, {"ref": "evanfabry/notebookd26dd08e0a", "kernel_id": "184727"}, {"ref": "charki/practice", "kernel_id": "212267"}, {"ref": "heisengarg/basic-exploration-and-classification", "kernel_id": "182392"}, {"ref": "xinyixu/randomforest-base1304", "kernel_id": "234976"}, {"ref": "qingnan/random-forest-starter-with-numerical-features", "kernel_id": "180127"}, {"ref": "anishieh/simple-exploration-notebook-2-connect", "kernel_id": "189478"}, {"ref": "kbiskobing/notebook7ebc6414e5", "kernel_id": "179345"}, {"ref": "cklwankaggle/xgboost-two-sigma", "kernel_id": "220933"}, {"ref": "bkirubak/notebookf98744297e", "kernel_id": "180762"}, {"ref": "bpr1989/notebook67a81c41c6", "kernel_id": "213687"}, {"ref": "hunterd/two-sigma", "kernel_id": "197483"}, {"ref": "mlaster/notebook088aa7fa6b", "kernel_id": "179300"}, {"ref": "binilg/random-forest-starter-with-numerical-features", "kernel_id": "179699"}, {"ref": "yogeshdatascientist/notebook3a2d296d72", "kernel_id": "179449"}, {"ref": "yogeshdatascientist/notebook152b6fcef6", "kernel_id": "179405"}, {"ref": "yogeshdatascientist/dninja", "kernel_id": "179406"}, {"ref": "yogeshdatascientist/dataninja", "kernel_id": "179396"}, {"ref": "yogeshdatascientist/notebook02a4cb1f1a", "kernel_id": "179417"}, {"ref": "yogeshdatascientist/fork-of-dninja", "kernel_id": "179445"}, {"ref": "cvisger/simple-exploration-notebook-2-connect", "kernel_id": "181037"}, {"ref": "pranjalyadav/xgb-starter-in-python", "kernel_id": "194997"}, {"ref": "pranjalyadav/simple-exploration-notebook-2-connect", "kernel_id": "194998"}, {"ref": "ashutoshp/random-forest-starter-with-numerical-features", "kernel_id": "183395"}, {"ref": "ashutoshp/xgb-starter-in-python", "kernel_id": "190636"}, {"ref": "sabelgk/simple-exploration-notebook-2-connect", "kernel_id": "184965"}, {"ref": "parthassatpathy/using-google-s2sphere-library-to-locate-cell-value", "kernel_id": "242313"}, {"ref": "abhishekkant/simple-xgboost-model-in-r", "kernel_id": "244483"}, {"ref": "mlennox562/notebook52d61601cd", "kernel_id": "181233"}, {"ref": "mlennox562/notebook1c33fe1e69", "kernel_id": "183428"}, {"ref": "mlennox562/notebookaa1e4a11f4", "kernel_id": "180198"}, {"ref": "acewhite/xgb-starter-in-python", "kernel_id": "181928"}, {"ref": "davidfumo/xgb-drafts", "kernel_id": "211125"}, {"ref": "davidfumo/try-r-script-two-sigma", "kernel_id": "211115"}, {"ref": "davidfumo/notebookf560b99cd9", "kernel_id": "242420"}, {"ref": "davidfumo/cv-statistics-with-new-features", "kernel_id": "242414"}, {"ref": "davidfumo/adaboost-classifier-vs-random-forest", "kernel_id": "238536"}, {"ref": "andrewmanser/getting-started-on-2sigma", "kernel_id": "179557"}, {"ref": "andrewmanser/random-forest-starter-with-numerical-features", "kernel_id": "179558"}, {"ref": "pierretisseur/fs2456", "kernel_id": "235677"}, {"ref": "pierretisseur/fs245699", "kernel_id": "236542"}, {"ref": "pierretisseur/fs245699-5", "kernel_id": "236826"}, {"ref": "fangmm/simple-exploration-notebook-2-connect", "kernel_id": "180653"}, {"ref": "fangmm/simple-exploration-notebook-2-connect-4b942f", "kernel_id": "191437"}, {"ref": "fangmm/notebook38ae400589", "kernel_id": "187282"}, {"ref": "thutch/notebookf645835c25", "kernel_id": "236083"}, {"ref": "brandonbevans/xgb-starter-in-python", "kernel_id": "191624"}, {"ref": "brandonbevans/random-forest-starter-with-numerical-features", "kernel_id": "185933"}, {"ref": "rojre1979/random-forest-script", "kernel_id": "237544"}, {"ref": "rojre1979/xgb-test-model", "kernel_id": "235446"}, {"ref": "edouardthomas/full-clean-encoding-of-display-address-lb-0-003", "kernel_id": "243786"}, {"ref": "sonder/do-managers-matter-some-insights-on-manager-id", "kernel_id": "187585"}, {"ref": "sonder/improve-perfomances-using-manager-features", "kernel_id": "187574"}, {"ref": "ulliwy/notebookb5c5ba0773", "kernel_id": "228375"}, {"ref": "yogesh408/analytics-libraries-install", "kernel_id": "237937"}, {"ref": "yogesh408/notebook77faa18fd0", "kernel_id": "237938"}, {"ref": "zobara/test-renthop", "kernel_id": "199882"}, {"ref": "fabienchevallier/working-script", "kernel_id": "203309"}, {"ref": "kenziyu/notebook320b7c7f61", "kernel_id": "222268"}, {"ref": "ianbbqzy/simple-exploration-notebook-2-connect", "kernel_id": "185616"}, {"ref": "vikibytes/notebookeba25a5820", "kernel_id": "179848"}, {"ref": "vikibytes/my-first-attempt", "kernel_id": "205063"}, {"ref": "chenlongxi/python-version-of-it-is-lit-by-branden", "kernel_id": "218212"}, {"ref": "arthurtok/test-01-two-sigma", "kernel_id": "210060"}, {"ref": "piyushdugar13/notebooka8c486d797", "kernel_id": "197814"}, {"ref": "piyushdugar13/notebook3c38e56362", "kernel_id": "224301"}, {"ref": "piyushdugar13/notebookfee156cf0b", "kernel_id": "224303"}, {"ref": "piyushdugar13/notebookca3eb038e9", "kernel_id": "219447"}, {"ref": "piyushdugar13/notebook518d9e7815", "kernel_id": "218815"}, {"ref": "aaggarwal/exploring-the-data", "kernel_id": "183933"}, {"ref": "bhuvaneshwaran/rental-listing-inquiries-linearsvc", "kernel_id": "183421"}, {"ref": "stanislavushakov/python-version-of-it-is-lit-by-branden", "kernel_id": "213286"}, {"ref": "stanislavushakov/cleansing-addresses-am-i-doing-it-wrong", "kernel_id": "212129"}, {"ref": "congshen/notebookd1a90b1e92", "kernel_id": "235500"}, {"ref": "hydenli/notebook4040f2d56d", "kernel_id": "205260"}, {"ref": "anbeylin/cv-statistics-better-parameters-and-explaination", "kernel_id": "235950"}, {"ref": "ayaseeli/getting-started", "kernel_id": "179492"}, {"ref": "kishoreo/deep-learn-model", "kernel_id": "242330"}, {"ref": "chakriv88/notebookd2733ae7fa", "kernel_id": "180721"}, {"ref": "crazyeric/simple-exploration-notebook-2-connect", "kernel_id": "193041"}, {"ref": "rgoodman/rental-listings-from-scratch", "kernel_id": "184160"}, {"ref": "den3b81/random-forest-starter-with-numerical-features", "kernel_id": "179973"}, {"ref": "den3b81/simple-exploration-notebook-2-connect", "kernel_id": "179982"}, {"ref": "den3b81/notebookc1fbe5fcfa", "kernel_id": "183496"}, {"ref": "den3b81/do-managers-matter-some-insights-on-manager-id", "kernel_id": "183551"}, {"ref": "den3b81/notebook39aacead35", "kernel_id": "183370"}, {"ref": "den3b81/xgb-starter-in-python-a344bd5e", "kernel_id": "183371"}, {"ref": "den3b81/xgb-starter-in-python", "kernel_id": "182033"}, {"ref": "den3b81/can-a-computer-say-a-1000-words-from-a-picture", "kernel_id": "187271"}, {"ref": "den3b81/some-insights-on-building-id", "kernel_id": "184451"}, {"ref": "den3b81/fork-of-short-term-actual-pics-sauna-intere", "kernel_id": "185717"}, {"ref": "den3b81/boost-performances-with-manager-related-features", "kernel_id": "186133"}, {"ref": "den3b81/xgb-starter-in-python-d78453", "kernel_id": "186067"}, {"ref": "den3b81/improve-perfomances-using-manager-features", "kernel_id": "186154"}, {"ref": "den3b81/simple-exploration-notebook-2-connect-e5590b", "kernel_id": "185473"}, {"ref": "den3b81/short-term-actual-pics-sauna-interesting", "kernel_id": "185545"}, {"ref": "den3b81/fork-of-random-forest-starter-with-numerical-featu", "kernel_id": "192953"}, {"ref": "den3b81/better-predictions-stacking-with-votingclassifier", "kernel_id": "191999"}, {"ref": "den3b81/cv-statistics-better-parameters-and-explai-8bf1d3", "kernel_id": "236746"}, {"ref": "den3b81/microsoft-lightgbm-starter-8d6164", "kernel_id": "239053"}, {"ref": "den3b81/cv-statistics-better-parameters-and-explaination", "kernel_id": "232994"}, {"ref": "den3b81/only-brand-new-features", "kernel_id": "242381"}, {"ref": "justin511/random-forest-starter-with-numerical-features", "kernel_id": "180294"}, {"ref": "nangemo/fork-of-simple-exploration-notebook-2-connect", "kernel_id": "182248"}, {"ref": "nangemo/simple-exploration-notebook-2-connect", "kernel_id": "182244"}, {"ref": "statof/st-two-sigma-connect-rental-listing-inquiries", "kernel_id": "202365"}, {"ref": "nguyendanghuynh/notebook02b82580dd", "kernel_id": "180226"}, {"ref": "korirsammy/getting-started", "kernel_id": "179711"}, {"ref": "liurical/xgb-starter-in-python", "kernel_id": "191306"}, {"ref": "tbombadil/notebook696bb4f2a2", "kernel_id": "203260"}, {"ref": "txstatebmb/starter-script-with-xgb-in-r", "kernel_id": "230912"}, {"ref": "yeoldefogey/notebooke01b778944", "kernel_id": "230501"}, {"ref": "psy0814/notebook4ce2bacb55", "kernel_id": "238613"}, {"ref": "robertoruiz/feature-engineering-1-sentiment-analysis", "kernel_id": "182109"}, {"ref": "robertoruiz/how-convert-json-files-into-data-frames-in-r", "kernel_id": "179962"}, {"ref": "robertoruiz/feature-engineering-2-opportunity", "kernel_id": "211774"}, {"ref": "robertoruiz/10th-fev-2017", "kernel_id": "184169"}, {"ref": "anuragupadhyaya/cv-statistics-better-parameters-and-explaination", "kernel_id": "233580"}, {"ref": "phanindravarma/notebook2d24b36bbb", "kernel_id": "183556"}, {"ref": "liamhe/microsoft-lightgbm-starter", "kernel_id": "242240"}, {"ref": "liamhe/ensemble", "kernel_id": "211302"}, {"ref": "davidli/temppp11", "kernel_id": "205313"}, {"ref": "davidli/about-the-magic-feature", "kernel_id": "239886"}, {"ref": "plopez/notebook7402f36b27", "kernel_id": "202286"}, {"ref": "tukichen/exploratory-analysis-of-rental-interest-data", "kernel_id": "213630"}, {"ref": "tukichen/notebookbee2b897be", "kernel_id": "213623"}, {"ref": "tukichen/rental-interest-prediction", "kernel_id": "213624"}, {"ref": "plantsgo/using-description-as-the-only-feature-72-cv", "kernel_id": "220999"}, {"ref": "anthonyduff/notebook4b2888bf50", "kernel_id": "220713"}, {"ref": "goghrod/listing-files", "kernel_id": "179320"}, {"ref": "goghrod/notebookd1a197df62", "kernel_id": "179301"}, {"ref": "zhanglic/xgb05", "kernel_id": "224384"}, {"ref": "zhanglic/xgb02", "kernel_id": "222513"}, {"ref": "zhanglic/notebook4024889808", "kernel_id": "222501"}, {"ref": "zhanglic/fork-of-xgb-starter-in-python-2b61a8", "kernel_id": "222597"}, {"ref": "zhanglic/xgboost", "kernel_id": "222629"}, {"ref": "brainonastick/fork-of-first-approach", "kernel_id": "179679"}, {"ref": "brainonastick/first-approach", "kernel_id": "179618"}, {"ref": "autumnwmc1995/notebook0634f7daf4", "kernel_id": "245827"}, {"ref": "simeonayo/notebook567a41b6ac", "kernel_id": "190993"}, {"ref": "xujin1982/raodomforest", "kernel_id": "187235"}, {"ref": "xujin1982/randomforestclassifier", "kernel_id": "187239"}, {"ref": "xujin1982/google-earth-exploration", "kernel_id": "184839"}, {"ref": "xujin1982/it-is-lit", "kernel_id": "204462"}, {"ref": "rrqqmm/exploring-data", "kernel_id": "179634"}, {"ref": "dskswu/notebook559e0b01b1", "kernel_id": "184543"}, {"ref": "aviaratzon/xgb-starter-in-python", "kernel_id": "184190"}, {"ref": "nicklyz/maximum-likelihood-bayesian", "kernel_id": "239338"}, {"ref": "nicklyz/first", "kernel_id": "179341"}, {"ref": "knighthawk989/notebook4c2b45c96c", "kernel_id": "203103"}, {"ref": "knighthawk989/notebook23bdcb2b42", "kernel_id": "203087"}, {"ref": "yvl584/cv-statistics-better-parameters-and-explaination", "kernel_id": "241776"}, {"ref": "zdanev/explore", "kernel_id": "181389"}, {"ref": "zdanev/fork-of-hello-world-8ead8952", "kernel_id": "181390"}, {"ref": "zdanev/fork-of-hello-world-f464f116", "kernel_id": "181392"}, {"ref": "zdanev/hello-world", "kernel_id": "181207"}, {"ref": "zdanev/xgb-starter-in-python", "kernel_id": "181405"}, {"ref": "tavoloperuno/interest-level-sentiment-across-nyc-neighbourhoods", "kernel_id": "184213"}, {"ref": "tavoloperuno/notebook88cf72c633", "kernel_id": "194438"}, {"ref": "chocoheim/notebookc19cf5add8", "kernel_id": "217085"}, {"ref": "chocoheim/notebooke4be25555d", "kernel_id": "217083"}, {"ref": "chocoheim/notebook13a5e9a830", "kernel_id": "217094"}, {"ref": "davidprakash/xgb-default-model", "kernel_id": "182104"}, {"ref": "davidprakash/xgb-modified", "kernel_id": "182298"}, {"ref": "davidprakash/notebookb07649be48", "kernel_id": "194833"}, {"ref": "davidprakash/xgb-trial", "kernel_id": "194837"}, {"ref": "davidprakash/xgb-2", "kernel_id": "221942"}, {"ref": "yuvitu/simple-exploration-notebook-2-connect", "kernel_id": "196376"}, {"ref": "yuvitu/simple-exploration-notebook-2-connect-4d43e9", "kernel_id": "196382"}, {"ref": "vigneshjothiselvaraj/notebook5f46d248a4", "kernel_id": "179656"}, {"ref": "vigneshjothiselvaraj/notebook3f706f0808", "kernel_id": "179680"}, {"ref": "vigneshjothiselvaraj/notebook4d31f105ff", "kernel_id": "179674"}, {"ref": "vigneshjothiselvaraj/notebook178f9c8829", "kernel_id": "179662"}, {"ref": "vigneshjothiselvaraj/notebook7eef3b0e1c", "kernel_id": "179666"}, {"ref": "vigneshjothiselvaraj/notebook20b08a7d22", "kernel_id": "179684"}, {"ref": "vigneshjothiselvaraj/prediction", "kernel_id": "179710"}, {"ref": "vigneshjothiselvaraj/notebook010c6a831f", "kernel_id": "179705"}, {"ref": "vigneshjothiselvaraj/fork-of-notebook222cb66cfe", "kernel_id": "179727"}, {"ref": "alexisalmeida/random-forest-starter-with-numerical-features", "kernel_id": "179479"}, {"ref": "raymone/apples-and-oranges-iii", "kernel_id": "234923"}, {"ref": "raymone/some-analysis-about-description", "kernel_id": "213709"}, {"ref": "vignesh2323/notebooke8a5712216", "kernel_id": "224891"}, {"ref": "vignesh2323/two-sigma-connect", "kernel_id": "189983"}, {"ref": "vignesh2323/notebookf28d67d6e3", "kernel_id": "189980"}, {"ref": "vignesh2323/fork-of-fork-of-fork-of-fork-of-xgboost-tri-d6f587", "kernel_id": "243069"}, {"ref": "vignesh2323/fork-of-fork-of-fork-of-fork-of-xgboost-tri-af764b", "kernel_id": "243101"}, {"ref": "vignesh2323/fork-of-fork-of-xgboost-trialrun-2-8d2dc7", "kernel_id": "242764"}, {"ref": "vignesh2323/fork-of-fork-of-fork-of-xgboost-trialrun-2-9f8a50", "kernel_id": "242755"}, {"ref": "vignesh2323/fork-of-fork-of-xgboost-trialrun-2-62a8ec", "kernel_id": "241899"}, {"ref": "vignesh2323/fork-of-fork-of-xgboost-trialrun-2-6c4517", "kernel_id": "239747"}, {"ref": "vignesh2323/fork-of-fork-of-xgboost-trialrun-2", "kernel_id": "238933"}, {"ref": "demesgal/final-submission", "kernel_id": "234041"}, {"ref": "jastaehl/first-glimpse", "kernel_id": "179892"}, {"ref": "jin1205/random-forest-starter-with-numerical-features", "kernel_id": "187620"}, {"ref": "liuyingqi/cv-statistics-better-parameters-and-explaination", "kernel_id": "239049"}, {"ref": "pkbravehack/how-to-correctly-load-data-into-r", "kernel_id": "180436"}, {"ref": "pkbravehack/xgb-starter-in-python", "kernel_id": "180425"}, {"ref": "pkbravehack/simple-exploration-notebook-2-connect", "kernel_id": "196215"}, {"ref": "otblearn/notebook32fb59d8ef", "kernel_id": "233126"}, {"ref": "ryanmfw/notebook97ef7065d1", "kernel_id": "237790"}, {"ref": "maxomaxo/rental-listing-ny-map", "kernel_id": "201732"}, {"ref": "arthurherbout/first-steps-with-two-sigma-challenge", "kernel_id": "179912"}, {"ref": "aforest/latitude-longitude-price-only-regression", "kernel_id": "179799"}, {"ref": "tivoli2/is-the-multi-class-log-loss-eval-function-ok", "kernel_id": "211761"}, {"ref": "frenchy/testnjm", "kernel_id": "232218"}, {"ref": "frenchy/xgboost-two-sigma", "kernel_id": "229595"}, {"ref": "frenchy/cv-statistics-edited-0-5346-score", "kernel_id": "228933"}, {"ref": "jianguangg/teststart1", "kernel_id": "204926"}, {"ref": "tiffanyxu0104/notebook0b0896bb7a", "kernel_id": "226891"}, {"ref": "tiffanyxu0104/notebookddbfbc53d6", "kernel_id": "234273"}, {"ref": "tiffanyxu0104/h2o-try", "kernel_id": "234274"}, {"ref": "tiffanyxu0104/notebookf9d32abdde", "kernel_id": "234238"}, {"ref": "tiffanyxu0104/it-is-lit", "kernel_id": "234781"}, {"ref": "tiffanyxu0104/xgboost-secondtry", "kernel_id": "234792"}, {"ref": "tiffanyxu0104/notebookefb1220772", "kernel_id": "234632"}, {"ref": "tiffanyxu0104/notebook56cf97bad3", "kernel_id": "237077"}, {"ref": "tiffanyxu0104/notebookaaf26d4170", "kernel_id": "236219"}, {"ref": "tiffanyxu0104/nn-try-0416", "kernel_id": "235998"}, {"ref": "tiffanyxu0104/microsoft-lightgbm-starter", "kernel_id": "240929"}, {"ref": "tiffanyxu0104/notebook858827d77c", "kernel_id": "239380"}, {"ref": "dexter22/notebookcdea7aed39", "kernel_id": "201792"}, {"ref": "dexter22/2sigma", "kernel_id": "201793"}, {"ref": "wangcx969/somethingfun", "kernel_id": "179597"}, {"ref": "wangcx969/notebookebb2dc3edd", "kernel_id": "179603"}, {"ref": "toantran/simple-exploration-notebook-2-connect", "kernel_id": "188337"}, {"ref": "darrellulm/two-sigma-renthop-eda-test-run", "kernel_id": "242454"}, {"ref": "redsilence/hello-world", "kernel_id": "179380"}, {"ref": "redsilence/first-stab", "kernel_id": "179382"}, {"ref": "ruejen/notebook42c2630aee", "kernel_id": "186840"}, {"ref": "qorbanpour/do-managers-matter-some-insights-on-manager-id", "kernel_id": "193364"}, {"ref": "tomc1995/dv-for-inherent-value-of-a-listing", "kernel_id": "231037"}, {"ref": "tomc1995/semi-elasticities-of-price-on-bed-bath", "kernel_id": "206021"}, {"ref": "tomc1995/notebookeabf5deed1", "kernel_id": "207737"}, {"ref": "tomc1995/notebooke3b19c556c", "kernel_id": "207721"}, {"ref": "tomc1995/aaaaa", "kernel_id": "219950"}, {"ref": "tomc1995/notebook95d91dc72f", "kernel_id": "226809"}, {"ref": "tomc1995/aaaa2222222", "kernel_id": "226705"}, {"ref": "lilyjin/notebook5c0dd00326", "kernel_id": "180640"}, {"ref": "lilyjin/notebook279fe69909", "kernel_id": "179487"}, {"ref": "lilyjin/notebookce4767f40d", "kernel_id": "179482"}, {"ref": "lilyjin/notebook9b8b66072d", "kernel_id": "179485"}, {"ref": "lilyjin/notebookd6b734617c", "kernel_id": "212804"}, {"ref": "lilyjin/notebook86b2b6b029", "kernel_id": "183976"}, {"ref": "lilyjin/notebook5d38dc3c57", "kernel_id": "184680"}, {"ref": "lilyjin/notebook4acbe72a23", "kernel_id": "191203"}, {"ref": "nisanthd/random-forest-starter-with-numerical-features", "kernel_id": "179688"}, {"ref": "daqixu/simple-starter-keras-nn", "kernel_id": "243447"}, {"ref": "daqixu/microsoft-lightgbm-starter", "kernel_id": "242716"}, {"ref": "kvmanoj90/notebook78b82cad91", "kernel_id": "184518"}, {"ref": "jt2010/notebook69533cb0c6", "kernel_id": "206025"}, {"ref": "researchbigd/2sigma-r", "kernel_id": "180269"}, {"ref": "mgholamii/notebook39fca0a664", "kernel_id": "229719"}, {"ref": "mgholamii/rental-listing-inquiries", "kernel_id": "229723"}, {"ref": "mgholamii/rental-listing-inquiries-data-analysis", "kernel_id": "229733"}, {"ref": "mratsim/hackable-baseline-with-pipeline-lb0-63", "kernel_id": "185326"}, {"ref": "dieden/xgb-starter-in-python", "kernel_id": "190789"}, {"ref": "startupsci/cv-statistics-better-parameters-and-explaination", "kernel_id": "232915"}, {"ref": "startupsci/neighborhoods-instead-of-lat-long", "kernel_id": "237596"}, {"ref": "kkozhenov/notebook4a3ef6daba", "kernel_id": "228172"}, {"ref": "vigilanf/can-a-computer-say-a-1000-words-from-a-pict-bdf448", "kernel_id": "185915"}, {"ref": "vigilanf/testing-privacy", "kernel_id": "188413"}, {"ref": "vigilanf/notebook881dbff44a", "kernel_id": "188414"}, {"ref": "vigilanf/forked-script", "kernel_id": "210854"}, {"ref": "vigilanf/notebookf9597f670e", "kernel_id": "182893"}, {"ref": "vigilanf/notebook072fdfe33e", "kernel_id": "182381"}, {"ref": "vigilanf/notebook2c49657f6f", "kernel_id": "182374"}, {"ref": "vigilanf/can-a-computer-say-a-1000-words-from-a-picture", "kernel_id": "183124"}, {"ref": "vigilanf/notebook085a099ea0", "kernel_id": "181109"}, {"ref": "vigilanf/notebook175337e5c5", "kernel_id": "181168"}, {"ref": "vigilanf/notebookba44d39a34", "kernel_id": "181475"}, {"ref": "vigilanf/notebook0194a12fae", "kernel_id": "181577"}, {"ref": "vigilanf/notebookb96779d795", "kernel_id": "181568"}, {"ref": "vigilanf/notebook3bd15ee16e", "kernel_id": "181573"}, {"ref": "vigilanf/notebook56285dcca2", "kernel_id": "182148"}, {"ref": "vigilanf/notebookc0b9a6bcce", "kernel_id": "182185"}, {"ref": "vigilanf/xgb-forked-starter", "kernel_id": "182172"}, {"ref": "vigilanf/notebook442aff2f50", "kernel_id": "182188"}, {"ref": "vigilanf/notebookc4a2f82373", "kernel_id": "182226"}, {"ref": "vigilanf/notebookdf75e051e3", "kernel_id": "182284"}, {"ref": "vigilanf/notebookfe29627a0b", "kernel_id": "182312"}, {"ref": "vigilanf/notebookda65833bac", "kernel_id": "182313"}, {"ref": "vigilanf/notebook292cbb10a8", "kernel_id": "182339"}, {"ref": "vigilanf/notebookf2a23c6fed", "kernel_id": "180778"}, {"ref": "vigilanf/notebookd662f4505b", "kernel_id": "180705"}, {"ref": "vigilanf/h2o-starter-pack", "kernel_id": "179528"}, {"ref": "vigilanf/random-forest-starter-with-numerical-features", "kernel_id": "179529"}, {"ref": "vigilanf/quick-look-at-training-data", "kernel_id": "179411"}, {"ref": "ctyler88/notebook5839e438a2", "kernel_id": "199723"}, {"ref": "ctyler88/notebook1a20810e24", "kernel_id": "201924"}, {"ref": "ctyler88/notebook356e2ade6a", "kernel_id": "201571"}, {"ref": "ctyler88/notebookc24a7e8d50", "kernel_id": "192648"}, {"ref": "lesibius/two-sigma-discovery", "kernel_id": "180368"}, {"ref": "felicityeva/simple-exploration-notebook-2-connect", "kernel_id": "191000"}, {"ref": "felicityeva/can-a-computer-say-a-1000-words-from-a-picture", "kernel_id": "191551"}, {"ref": "bearzx/xgb-starter-in-python", "kernel_id": "200581"}, {"ref": "barik111/notebook7bc0ba6914", "kernel_id": "183502"}, {"ref": "auygur/notebook47ae173e6c", "kernel_id": "180726"}, {"ref": "auygur/xgb-starter-in-python", "kernel_id": "180395"}, {"ref": "auygur/notebookc72c81728f", "kernel_id": "180335"}, {"ref": "auygur/notebook87e356e13d", "kernel_id": "180337"}, {"ref": "angelowalsh/notebook3ae63b0133", "kernel_id": "233963"}, {"ref": "mechan/notebook97941bdb38", "kernel_id": "179766"}, {"ref": "azuralrainbow/cv-statistics-better-parameters-and-explaination", "kernel_id": "232011"}, {"ref": "azuralrainbow/another-version-of-summer-boost", "kernel_id": "233023"}, {"ref": "azuralrainbow/notebook64e253f95a", "kernel_id": "227875"}, {"ref": "kumasu/simple-exploration-notebook-2-connect", "kernel_id": "188491"}, {"ref": "venkatprasad/notebook67582bc5c1", "kernel_id": "183576"}, {"ref": "danjordan/text-analysis-classifying-listings-with-features", "kernel_id": "182017"}, {"ref": "danjordan/how-to-correctly-load-data-into-r", "kernel_id": "180053"}, {"ref": "violazhong/notebook0648581e88", "kernel_id": "216686"}, {"ref": "rexj551/notebookcec3b81440", "kernel_id": "222376"}, {"ref": "danahkuoi/two-sigma-data-analysis-in-python", "kernel_id": "185036"}, {"ref": "danahkuoi/fork-of-two-sigma-connect-rental-listing-inquirie", "kernel_id": "185048"}, {"ref": "linux18/managerid", "kernel_id": "200119"}, {"ref": "linux18/better-predictions-stacking-with-votingclassifier", "kernel_id": "194866"}, {"ref": "linux18/neighborhood-as-factor-reverse-geocoding", "kernel_id": "196471"}, {"ref": "linux18/how-to-deal-with-features-in-renthop-data", "kernel_id": "196740"}, {"ref": "linux18/improve-perfomances-using-manager-features", "kernel_id": "193647"}, {"ref": "linux18/simple-exploration-notebook-2-connect", "kernel_id": "193604"}, {"ref": "adamsfei/high-cardinality-features-encoding-transformer", "kernel_id": "211799"}, {"ref": "adamsfei/final-submission", "kernel_id": "235251"}, {"ref": "adamsfei/only-brand-new-features", "kernel_id": "242353"}, {"ref": "pgirish/notebook021cc7886a", "kernel_id": "191558"}, {"ref": "pgirish/prediction-through-ensemble", "kernel_id": "191497"}, {"ref": "chengzhan/notebookbfc143341a", "kernel_id": "239378"}, {"ref": "chengzhan/notebook2b87a450aa", "kernel_id": "235300"}, {"ref": "chengzhan/notebooke7ef2cbcf7", "kernel_id": "235185"}, {"ref": "chengzhan/xgb0415", "kernel_id": "235376"}, {"ref": "chengzhan/xgb-density", "kernel_id": "234100"}, {"ref": "chengzhan/notebook24fba8889d", "kernel_id": "225172"}, {"ref": "chengzhan/notebook54cfc81df0", "kernel_id": "225186"}, {"ref": "chengzhan/notebook6ab5fdd42b", "kernel_id": "225566"}, {"ref": "chengzhan/notebook9f87e425f2", "kernel_id": "226215"}, {"ref": "chengzhan/xgboost-two-sigma-cz-0402", "kernel_id": "226229"}, {"ref": "chengzhan/notebookbd241bee82", "kernel_id": "222469"}, {"ref": "chengzhan/notebook2a7e00c868", "kernel_id": "222322"}, {"ref": "chengzhan/notebook4b975f38dd", "kernel_id": "222416"}, {"ref": "chengzhan/image-feature", "kernel_id": "222417"}, {"ref": "chengzhan/notebook83181e079c", "kernel_id": "222314"}, {"ref": "chengzhan/notebookd9f375ddeb", "kernel_id": "224019"}, {"ref": "chengzhan/xgb-initial", "kernel_id": "224368"}, {"ref": "chengzhan/xgboost-two-sigma-cz", "kernel_id": "224369"}, {"ref": "puremath86/python-version-of-it-is-lit-by-branden", "kernel_id": "213640"}, {"ref": "puremath86/notebook991e52413b", "kernel_id": "204606"}, {"ref": "chandanu2/kaggle-rentalhop-predict-demand-for-rental-houses", "kernel_id": "366347"}, {"ref": "migranova/trial-submission", "kernel_id": "211284"}, {"ref": "mcdreamyzzz/notebook4d8314f232", "kernel_id": "234627"}, {"ref": "pkuwjh/plot-python-xgboost-and-feature-importance", "kernel_id": "183305"}, {"ref": "yh26yh/xgboost-version2", "kernel_id": "230063"}, {"ref": "yh26yh/exploring-renthop-data", "kernel_id": "230505"}, {"ref": "clairehuang/simple-exploration-notebook-2-connect", "kernel_id": "184475"}, {"ref": "clairehuang/simple-exploration-notebook-2-connect-1cec59", "kernel_id": "184655"}, {"ref": "jamestollefson/some-feature-engineering", "kernel_id": "221194"}, {"ref": "jamestollefson/feature-engineering-train-features", "kernel_id": "215813"}, {"ref": "rkwanye/simple-exploration-notebook-2-connect", "kernel_id": "179706"}, {"ref": "purens/how-to-correctly-load-data-into-r", "kernel_id": "185960"}, {"ref": "duanyanl97/simple-exploration-notebook-2-connect", "kernel_id": "185554"}, {"ref": "xmj9999/notebookc0f21dbda2", "kernel_id": "179853"}, {"ref": "itaydafna/dafna1", "kernel_id": "179293"}, {"ref": "itaydafna/notebook79a47ae30d", "kernel_id": "179287"}, {"ref": "mashmn/notebook5e4d0f368f", "kernel_id": "180627"}, {"ref": "wencyang/random-forest-starter-with-numerical-features", "kernel_id": "182315"}, {"ref": "johnjdambra/how-to-correctly-load-data-into-r", "kernel_id": "195594"}, {"ref": "alchemist009/notebook8fde5f2fbe", "kernel_id": "188275"}, {"ref": "alchemist009/notebook1fdc44c9aa", "kernel_id": "188276"}, {"ref": "haoyuanji/xgb-starter-in-python", "kernel_id": "180321"}, {"ref": "miguelangelnieto/notebook76d911c381", "kernel_id": "183014"}, {"ref": "qywang0/notebook765b34419a", "kernel_id": "237719"}, {"ref": "qywang0/notebookc33f847aea", "kernel_id": "237828"}, {"ref": "qywang0/notebook7032554a08", "kernel_id": "236013"}, {"ref": "qywang0/notebook534f6b907f", "kernel_id": "236044"}, {"ref": "naivecharles/notebook22e469f937", "kernel_id": "187386"}, {"ref": "naivecharles/notebookaa3e7bbe22", "kernel_id": "186720"}, {"ref": "naivecharles/notebookf9700df5f4", "kernel_id": "186739"}, {"ref": "naivecharles/k-means-neighborhood-clustering", "kernel_id": "203977"}, {"ref": "naivecharles/notebook82d06ab969", "kernel_id": "203984"}, {"ref": "charlesfox/simple-exploration-notebook-2-connect", "kernel_id": "190335"}, {"ref": "nzewail/listing-prediction-nz", "kernel_id": "201849"}, {"ref": "nzewail/rent-notebook", "kernel_id": "201844"}, {"ref": "philippegr/my-note", "kernel_id": "189199"}, {"ref": "salon72/cv-statistics-better-parameters-and-explaination", "kernel_id": "240656"}, {"ref": "cameron1997/notebookb443b8049a", "kernel_id": "190798"}, {"ref": "weihuang1979/notebookc808d30923", "kernel_id": "183169"}, {"ref": "afeierman/how-to-correctly-load-data-into-r", "kernel_id": "192392"}, {"ref": "costabl/notebook2cdd4c5968", "kernel_id": "179307"}, {"ref": "jbalcarcel/dealing-with-high-cardinality-data-f05cfe", "kernel_id": "210132"}, {"ref": "yliu999/cv-statistics-better-parameters-and-explaination", "kernel_id": "238208"}, {"ref": "emay201/simple-exploration-notebook-2-connect", "kernel_id": "184248"}, {"ref": "alexv16/notebooka839925220", "kernel_id": "195659"}, {"ref": "alexv16/random-forest-starter-with-numerical-features", "kernel_id": "195651"}, {"ref": "alexv16/notebook887ef44339", "kernel_id": "220884"}, {"ref": "alexv16/notebookd4ebabd1eb", "kernel_id": "221556"}, {"ref": "terencezl/exploration-ml", "kernel_id": "202731"}, {"ref": "terencezl/exploratory-analysis-ml", "kernel_id": "203308"}, {"ref": "mrhenryyu/first-approach", "kernel_id": "185824"}, {"ref": "jazzskier/notebookd93631bd1c", "kernel_id": "218075"}, {"ref": "jazzskier/notebook07167bc031", "kernel_id": "222500"}, {"ref": "jazzskier/notebookcc811a8517", "kernel_id": "230930"}, {"ref": "jcclose1/simple-exploration-notebook-2-connect", "kernel_id": "181409"}, {"ref": "jcclose1/simple-exploration-notebook-2-connect-4a812aaf", "kernel_id": "181585"}, {"ref": "jcclose1/simple-exploration-notebook-2-connect-44bb6586", "kernel_id": "182968"}, {"ref": "yliu87/03-0330", "kernel_id": "224250"}, {"ref": "yliu87/notebook560adfb903", "kernel_id": "224294"}, {"ref": "xd1234/notebook8ce6cb7c5e", "kernel_id": "201535"}, {"ref": "xd1234/notebook42206ee315", "kernel_id": "201536"}, {"ref": "gpradk/cv-statistics-better-parameters-and-explaination", "kernel_id": "233330"}, {"ref": "gigizhang88/notebookd5ec2b1e63", "kernel_id": "182246"}, {"ref": "gigizhang88/notebook18325e4fa9", "kernel_id": "182878"}, {"ref": "gigizhang88/notebookcad7a282ef", "kernel_id": "180437"}, {"ref": "mwizasimbeye11/renthop", "kernel_id": "179422"}, {"ref": "maheshak04/notebook39cf2b14de", "kernel_id": "201828"}, {"ref": "maheshak04/first-xgboost-try", "kernel_id": "203550"}, {"ref": "maheshak04/notebookad0920abb1", "kernel_id": "203060"}, {"ref": "maheshak04/notebookf76356b614", "kernel_id": "219900"}, {"ref": "maheshak04/basic-analysis-of-features", "kernel_id": "223060"}, {"ref": "maheshak04/gdy5-paramter-tuning", "kernel_id": "228226"}, {"ref": "maheshak04/gdy5parametertuning", "kernel_id": "228552"}, {"ref": "maheshak04/notebook5c5e41eb37", "kernel_id": "229370"}, {"ref": "maheshak04/using-description", "kernel_id": "226008"}, {"ref": "maheshak04/notebookaa73247b2f", "kernel_id": "227261"}, {"ref": "maheshak04/two-sigma-rent-hop-exploration-book", "kernel_id": "226758"}, {"ref": "maheshak04/workingwithxgboost", "kernel_id": "215819"}, {"ref": "maheshak04/notebookcb339d5b5a", "kernel_id": "218458"}, {"ref": "maheshak04/notebookd48640f3db", "kernel_id": "218520"}, {"ref": "maheshak04/rh004", "kernel_id": "240687"}, {"ref": "maheshak04/kagglerenthop00", "kernel_id": "240643"}, {"ref": "maheshak04/rentallisting4", "kernel_id": "236230"}, {"ref": "maheshak04/newgdy5try", "kernel_id": "231302"}, {"ref": "maheshak04/streetaddress", "kernel_id": "231329"}, {"ref": "maheshak04/buiding", "kernel_id": "231364"}, {"ref": "maheshak04/discarddesc", "kernel_id": "231352"}, {"ref": "tarasua/better-predictions-stacking-with-votingclassifier", "kernel_id": "197256"}, {"ref": "tarasua/randomforest-base1304-from", "kernel_id": "239675"}, {"ref": "tarasua/randomforest-base1304-f", "kernel_id": "239725"}, {"ref": "tarasua/microsoft-lightgbm-starter", "kernel_id": "239800"}, {"ref": "deltae/notebook8b9b54c878", "kernel_id": "179579"}, {"ref": "markds1/notebookb28b36302a", "kernel_id": "322349"}, {"ref": "markds1/how-to-correctly-load-data-into-r", "kernel_id": "193479"}, {"ref": "praveenjune17/simple-exploration-notebook-2-connect", "kernel_id": "188893"}, {"ref": "ksdkalluri/xgb-starter-in-python", "kernel_id": "195500"}, {"ref": "tzviaviv/xgboost-test-in-r", "kernel_id": "190471"}, {"ref": "tzviaviv/notebookc49cdc942e", "kernel_id": "185869"}, {"ref": "tzviaviv/notebook645876caff", "kernel_id": "185874"}, {"ref": "tzviaviv/xgboost-exploration-in-r", "kernel_id": "185817"}, {"ref": "tzviaviv/how-to-deal-with-features-in-renthop-data", "kernel_id": "185060"}, {"ref": "jamessargeant/notebook818c37a5ba", "kernel_id": "194869"}, {"ref": "quantbros/rental-listing-test", "kernel_id": "179337"}, {"ref": "meiguiyu/notebook82ca595cea", "kernel_id": "219956"}, {"ref": "krishnansailam/notebook05950198e6", "kernel_id": "231567"}, {"ref": "toshie/hackable-baseline-with-pipeline-lb0-63", "kernel_id": "200465"}, {"ref": "bikuta/notebook473e34ee57", "kernel_id": "205957"}, {"ref": "bikuta/notebook31b1199486", "kernel_id": "210277"}, {"ref": "lelouchvigrecia/simple-exploration-notebook-2-connect", "kernel_id": "194325"}, {"ref": "sanghob/notebook5fe929519f", "kernel_id": "219052"}, {"ref": "carlossn/simple-exploration-notebook-2-connect", "kernel_id": "190503"}, {"ref": "amyxst/simple-exploration-notebook-2-connect", "kernel_id": "191001"}, {"ref": "kalmangszabo/notebook92033f2763", "kernel_id": "182077"}, {"ref": "sheriytm/cv-statistics-better-parameters-and-explaination", "kernel_id": "234310"}, {"ref": "sheriytm/twosigmadata-keras", "kernel_id": "237751"}, {"ref": "zukimo/xgb-starter-in-python", "kernel_id": "184282"}, {"ref": "mona1109/convert-json-to-data-frame", "kernel_id": "222292"}, {"ref": "starry1992/load-code", "kernel_id": "184698"}, {"ref": "pspieker/2sigma-rental-listing-challenge", "kernel_id": "207620"}, {"ref": "sellingwood/simple-exploration-notebook-2-connect", "kernel_id": "180642"}, {"ref": "yol087/multinomial-in-r-test-run-4", "kernel_id": "226239"}, {"ref": "mccclxxxv/starter-script-with-xgb-in-r", "kernel_id": "202489"}, {"ref": "h3sung/regression-has-great-score-in-validate-only-0-5", "kernel_id": "207654"}, {"ref": "redalice/notebook9b0e248dac", "kernel_id": "210939"}, {"ref": "tylerheavyindustries/random-forest-starter-with-numerical-features", "kernel_id": "179717"}, {"ref": "tylerheavyindustries/notebook19dc653295", "kernel_id": "209953"}, {"ref": "tylerheavyindustries/notebook9fc9513e1f", "kernel_id": "211527"}, {"ref": "tylerheavyindustries/notebooke9aa5bf903", "kernel_id": "227424"}, {"ref": "tylerheavyindustries/notebook350ae23f0d", "kernel_id": "234832"}, {"ref": "tylerheavyindustries/notebooka7ac977734", "kernel_id": "233971"}, {"ref": "gulyvz/two-sigma", "kernel_id": "236003"}, {"ref": "shwetak91/text-classification-description-nouns-and-adj", "kernel_id": "182091"}, {"ref": "bharlander/test1", "kernel_id": "184177"}, {"ref": "hyeonju/microsoft-lightgbm-starter", "kernel_id": "233059"}, {"ref": "devben/firstscript", "kernel_id": "181285"}, {"ref": "stellayang92/random-forest-starter-with-numerical-features", "kernel_id": "181357"}, {"ref": "linjinchao/notebook9257ba3597", "kernel_id": "236818"}, {"ref": "linjinchao/cv-statistics-better-parameters-and-explai-1a25f8", "kernel_id": "236819"}, {"ref": "jglgrigel/simple-rpart-model-focused-on-interpretability", "kernel_id": "211769"}, {"ref": "jglgrigel/notebook0ae47a88c8", "kernel_id": "203300"}, {"ref": "yliiii/do-managers-matter-some-insights-on-manager-id", "kernel_id": "184558"}, {"ref": "bremen/how-to-correctly-load-data-into-r", "kernel_id": "183177"}, {"ref": "shujiaohuang/random-forest", "kernel_id": "219195"}, {"ref": "shujiaohuang/bayesian-random-forest", "kernel_id": "218825"}, {"ref": "junlanzho/notebook5119abc53f", "kernel_id": "241753"}, {"ref": "massier/final289", "kernel_id": "215868"}, {"ref": "lampertb/notebookb4e39c665c", "kernel_id": "190116"}, {"ref": "sarahhh000/simple-exploration-notebook-2-connect", "kernel_id": "185784"}, {"ref": "manish11n/notebookd103bfdf01", "kernel_id": "229399"}, {"ref": "manish11n/notebookd2009d8059", "kernel_id": "228641"}, {"ref": "manish11n/notebook1dd09c56c1", "kernel_id": "227958"}, {"ref": "pudata/simple-exploration-notebook-2-connect", "kernel_id": "191511"}, {"ref": "chaolongchen/xgb-starter-in-python", "kernel_id": "194261"}, {"ref": "chaolongchen/xgb-starter-in-python-e63dd6", "kernel_id": "194338"}, {"ref": "vishalkcmu/notebook25ed21c958", "kernel_id": "186976"}, {"ref": "vishalkcmu/notebook67256bf9f8", "kernel_id": "187335"}, {"ref": "yinanli/notebookf92708bfc9", "kernel_id": "203855"}, {"ref": "yinanli/notebookc382283ce8", "kernel_id": "203801"}, {"ref": "shunjen/xgb-starter-in-python-edda66", "kernel_id": "208055"}, {"ref": "paopao123/notebook3a20010688", "kernel_id": "205684"}, {"ref": "paopao123/cse258", "kernel_id": "203799"}, {"ref": "paopao123/notebook4616142e6f", "kernel_id": "203796"}, {"ref": "nskool/notebook400d19c00e", "kernel_id": "208563"}, {"ref": "uottou/notebook1b4c0584dd", "kernel_id": "202136"}, {"ref": "mbengtsson/notebook06e5cd8d25", "kernel_id": "203770"}, {"ref": "jankaczmarczyk/xgb-starter-in-python", "kernel_id": "189982"}, {"ref": "lzy333221/notebook82571c3c16", "kernel_id": "198014"}, {"ref": "lzy333221/notebookc566c538df", "kernel_id": "197986"}, {"ref": "dm14350056/notebook20a64ef44e", "kernel_id": "190851"}, {"ref": "dm14350056/cv-statistics-better-parameters-and-explai-a9ab69", "kernel_id": "242582"}, {"ref": "dm14350056/cv-statistics-better-parameters-and-explai-ee9d77", "kernel_id": "242574"}, {"ref": "guody5/test4", "kernel_id": "206205"}, {"ref": "guody5/hello", "kernel_id": "203433"}, {"ref": "sebask/notebook1", "kernel_id": "200426"}, {"ref": "sebask/listing-clusters", "kernel_id": "200464"}, {"ref": "sebask/distance-to-subway-station", "kernel_id": "200481"}, {"ref": "sebask/notebook5e6039766b", "kernel_id": "200486"}, {"ref": "sebask/cluster-script", "kernel_id": "201141"}, {"ref": "mengdeng/notebook4ca0e44861", "kernel_id": "215202"}, {"ref": "dm14353312/cv-statistics-better-parameters-and-explaination", "kernel_id": "236975"}, {"ref": "mabrol/xgb-starter-in-python", "kernel_id": "192753"}, {"ref": "dlgoldman/notebooka3aa19e52a", "kernel_id": "232482"}, {"ref": "dlgoldman/notebook4547544cf8", "kernel_id": "232483"}, {"ref": "dm14348058/notebook4d17872e12", "kernel_id": "201548"}, {"ref": "svsatyam/random-forest", "kernel_id": "192202"}, {"ref": "svsatyam/randon-forest-2", "kernel_id": "192608"}, {"ref": "henryhu666/simple-exploration-notebook-2-connect", "kernel_id": "192468"}, {"ref": "christophe001/notebook5fff919926", "kernel_id": "227577"}, {"ref": "alanrivers/cv-statistics-better-parameters-and-explaination", "kernel_id": "233968"}, {"ref": "guoday/cv-statistics-better-parameters-and-explaination", "kernel_id": "227467"}, {"ref": "dm14353043/cv-statistics", "kernel_id": "241059"}, {"ref": "guodaya12345/cv-statistics", "kernel_id": "227187"}, {"ref": "guodaya12345/notebook161c06cdb5", "kernel_id": "203415"}, {"ref": "guodaya12345/helll", "kernel_id": "203418"}, {"ref": "abverma/cv-statistics-edited-0-5346-score-test-av", "kernel_id": "229834"}, {"ref": "abverma/h2o-starter-pack-test-av", "kernel_id": "198070"}, {"ref": "abverma/starter-script-with-xgb-in-r", "kernel_id": "198104"}, {"ref": "abverma/test-av", "kernel_id": "198125"}, {"ref": "tomshon/notebookcbab3e0fdf", "kernel_id": "211604"}, {"ref": "dm14348164/cv-statistics-better-parameters-and-explaination", "kernel_id": "238175"}, {"ref": "dm14348164/random-forest-starter-with-numerical-features", "kernel_id": "236404"}, {"ref": "bzsjr916/notebook85a6c63037", "kernel_id": "222737"}, {"ref": "bzsjr916/09161", "kernel_id": "231119"}, {"ref": "jamescousin/jim-mucks-around", "kernel_id": "204854"}, {"ref": "ilanll/xgb-notebook", "kernel_id": "214980"}, {"ref": "jeffwess/notebook43dfe69923", "kernel_id": "222286"}, {"ref": "jeffwess/notebook937f509aa6", "kernel_id": "199778"}, {"ref": "lawfile/xxxxxx", "kernel_id": "234543"}, {"ref": "dm14347034sysu/simple-exploration-notebook-2-connect", "kernel_id": "206342"}, {"ref": "alexhsieh/notebook00f81ab0bf", "kernel_id": "209365"}, {"ref": "jurjenbraam/nn-keras", "kernel_id": "224826"}, {"ref": "gauravc/notebook46f5de774f", "kernel_id": "200345"}, {"ref": "hyang36/notebookaa90c50cb8", "kernel_id": "200582"}, {"ref": "pedro44800/notebook8a1f73e30b", "kernel_id": "200468"}, {"ref": "pedro44800/notebookdc0835a8f6", "kernel_id": "200469"}, {"ref": "dm14348046/cv-statistics-better-parameters-and-explaination", "kernel_id": "243209"}, {"ref": "nadaatheer/notebooka2ceb291ce", "kernel_id": "201082"}, {"ref": "musausa/random-forest-starter-with-numerical-features", "kernel_id": "231663"}, {"ref": "hyeseung/h2o-starter-pack", "kernel_id": "203392"}, {"ref": "arcome/notebook7388f0c2f2", "kernel_id": "232611"}, {"ref": "arcome/notebook46853f3ab8", "kernel_id": "232612"}, {"ref": "arcome/notebookd266d84fd2", "kernel_id": "232613"}, {"ref": "arcome/notebooka3b5a2f7e8", "kernel_id": "232802"}, {"ref": "mattdelac/description-data-predictions", "kernel_id": "211669"}, {"ref": "cmuhao/notebook7d21f205e3", "kernel_id": "203043"}, {"ref": "angieaguilar/notebook59b4ebb337", "kernel_id": "209965"}, {"ref": "dm14348102/notebookae6d2aeefe", "kernel_id": "241726"}, {"ref": "cigilak/geo-map-for-the-data", "kernel_id": "212551"}, {"ref": "demoon/notebook3580560a35", "kernel_id": "236063"}, {"ref": "demoon/notebook99d6a227c8", "kernel_id": "236071"}, {"ref": "demoon/cv-statistics", "kernel_id": "227604"}, {"ref": "ertantas/microsoft-lightgbm-starter", "kernel_id": "233295"}, {"ref": "dm14331052/a-new-feature-that-may-help-improve", "kernel_id": "242602"}, {"ref": "dm14349004/cv-statistics-better-parameters-and-explaination", "kernel_id": "241746"}, {"ref": "itnasssss/median-rental-prices", "kernel_id": "258735"}, {"ref": "prudhvirazz/final-submission", "kernel_id": "235735"}, {"ref": "ultrax00/notebookdcdd9470ff", "kernel_id": "204864"}, {"ref": "msharma19/xgb-starter-in-python", "kernel_id": "274036"}, {"ref": "msharma19/notebook19f051af51", "kernel_id": "272368"}, {"ref": "msharma19/notebook27614b491d", "kernel_id": "253290"}, {"ref": "dm14348165/cv-statistics-better-parameters-and-explaination", "kernel_id": "243201"}, {"ref": "jonath0n/rental-interest-solution", "kernel_id": "207668"}, {"ref": "jonath0n/rental-interest-rank", "kernel_id": "207678"}, {"ref": "navee2/notebook79e2b01abe", "kernel_id": "208934"}, {"ref": "dm14348027/cv-statistics-better-parameters-and-explaination", "kernel_id": "241269"}, {"ref": "imeanu/notebookdca285688c", "kernel_id": "234318"}, {"ref": "jgx020/notebook8462a54e2e", "kernel_id": "232892"}, {"ref": "jgx020/cv-statistics-better-parameters-and-explaination", "kernel_id": "232914"}, {"ref": "yow010/multinomial-logistic-lasso-regression1", "kernel_id": "224469"}, {"ref": "yow010/r-xgboost", "kernel_id": "225886"}, {"ref": "dm14348189/notebookd3fea62058", "kernel_id": "232246"}, {"ref": "dm14348189/notebookaee3e9c14b", "kernel_id": "235632"}, {"ref": "dm14348189/notebookb5cba5e0d9", "kernel_id": "235656"}, {"ref": "dm14348189/test2", "kernel_id": "235612"}, {"ref": "sahmadsyed/notebookac61f7469c", "kernel_id": "214619"}, {"ref": "atharvafulay/test1", "kernel_id": "209366"}, {"ref": "gregspringett/notebook80091fc4f1", "kernel_id": "209793"}, {"ref": "shanwan/xgb-test1", "kernel_id": "228416"}, {"ref": "nicerun/first-attempt", "kernel_id": "215544"}, {"ref": "haitaka/data-insight", "kernel_id": "257167"}, {"ref": "haitaka/xgb-boost", "kernel_id": "258355"}, {"ref": "dameralalitha/notebooke8cb7ef280", "kernel_id": "211099"}, {"ref": "ayfahrettin/xgb-starter-in-python", "kernel_id": "236607"}, {"ref": "ayfahrettin/xgb-starter-in-python-e67184", "kernel_id": "236633"}, {"ref": "ayfahrettin/fork-of-xgb-starter-in-python", "kernel_id": "236634"}, {"ref": "cefeka/random-forest-starter-with-numerical-feature", "kernel_id": "259099"}, {"ref": "uniandes20171010/notebook6cc5573cb0", "kernel_id": "229860"}, {"ref": "uniandes20171010/notebookad81e252fb", "kernel_id": "229861"}, {"ref": "yinglunxu/notebooka0f02556a5", "kernel_id": "211967"}, {"ref": "wanlicheng/mlp-starter-with-numerical-features", "kernel_id": "227006"}, {"ref": "wanlicheng/notebookd8acdbf524", "kernel_id": "227008"}, {"ref": "wanlicheng/notebookd6f5e58096", "kernel_id": "227523"}, {"ref": "wanlicheng/notebook2fb25433ea", "kernel_id": "227524"}, {"ref": "wanlicheng/notebook02cb81d5ee", "kernel_id": "227543"}, {"ref": "wanlicheng/notebook240dbfc1ff", "kernel_id": "226984"}, {"ref": "wanlicheng/notebook7814866a74", "kernel_id": "226940"}, {"ref": "dm14348083/xgb-starter-in-python", "kernel_id": "241689"}, {"ref": "dm14348083/fork-of-xgb-starter-in-python", "kernel_id": "242596"}, {"ref": "dm14348083/errrr", "kernel_id": "239887"}, {"ref": "dm14348083/microsoft-lightgbm-starter", "kernel_id": "240428"}, {"ref": "leejaeho/notebook94b60457ea", "kernel_id": "243105"}, {"ref": "leejaeho/notebook9256fda3c3", "kernel_id": "243111"}, {"ref": "jiehao/notebook2c20595066", "kernel_id": "217723"}, {"ref": "dm14348122/notebook080a58cd3e", "kernel_id": "234853"}, {"ref": "rtkimmons/cv-statistics-better-parameters-and-explaination", "kernel_id": "240290"}, {"ref": "krishna1madhur/notebookafafc65d62", "kernel_id": "238468"}, {"ref": "krishna1madhur/notebook6e5211a705", "kernel_id": "254387"}, {"ref": "dm14331300/cv-statistics-better-parameters-and-explaination", "kernel_id": "242702"}, {"ref": "hitzhs/notebook8f9542e80e", "kernel_id": "223971"}, {"ref": "groszewa/notebookf8724d480a", "kernel_id": "221289"}, {"ref": "doublsky/notebook94d70e8472", "kernel_id": "224367"}, {"ref": "dibeldragon/improve-perfomances-using-manager-features", "kernel_id": "227734"}, {"ref": "mooner/singlexgb-cv-0-5281-but-lb-is-not-that-good", "kernel_id": "223873"}, {"ref": "zekunxu/angryx", "kernel_id": "223025"}, {"ref": "zekunxu/testcode", "kernel_id": "223334"}, {"ref": "zekunxu/notebookbf699ee294", "kernel_id": "223363"}, {"ref": "zekunxu/notebook21eae27a73", "kernel_id": "224293"}, {"ref": "zekunxu/pytest", "kernel_id": "224208"}, {"ref": "zekunxu/testpy3", "kernel_id": "224237"}, {"ref": "zekunxu/image-feature-f42cf7", "kernel_id": "226208"}, {"ref": "magusjimmy/cv-statistics-better-parameters-and-explaination", "kernel_id": "242296"}, {"ref": "ticktock/notebook8cd923175e", "kernel_id": "224254"}, {"ref": "yeddddi/random-forest-starter-with-numerical-featur-a1e1d6", "kernel_id": "227095"}, {"ref": "yeddddi/cv-statistics-better-parameters-and-explaination", "kernel_id": "241931"}, {"ref": "stevebetl/data-exploration-two-sigma-renthop", "kernel_id": "232771"}, {"ref": "lgbenny/ttttttt", "kernel_id": "272107"}, {"ref": "lgbenny/111111111", "kernel_id": "271961"}, {"ref": "lgbenny/notebook7b50ce903c", "kernel_id": "271527"}, {"ref": "lgbenny/notebook3fa0cfb044", "kernel_id": "271414"}, {"ref": "ikmalpani/notebookdbf31798d5", "kernel_id": "237734"}, {"ref": "ikmalpani/notebook4bac0a3ca2", "kernel_id": "234277"}, {"ref": "ikmalpani/notebook75a037b0ba", "kernel_id": "245026"}, {"ref": "ikmalpani/notebook55d6d0ff0e", "kernel_id": "229174"}, {"ref": "ikmalpani/notebookc5fc11e341", "kernel_id": "228452"}, {"ref": "ikmalpani/notebooke71b1ed61f", "kernel_id": "226796"}, {"ref": "gcorebo/notebookb9e64e5087", "kernel_id": "227158"}, {"ref": "gcorebo/script", "kernel_id": "227169"}, {"ref": "art123/notebook1449bde828", "kernel_id": "241495"}, {"ref": "art123/ar123", "kernel_id": "241469"}, {"ref": "mpracy/notebook26952f15d5", "kernel_id": "231149"}, {"ref": "peiyangdata/notebook23da51bde8", "kernel_id": "230268"}, {"ref": "peiyangdata/fork-of-fork-of-notebook5605c19e26", "kernel_id": "234221"}, {"ref": "peiyangdata/fork-of-fork-of-fork-of-fork-of-notebook5605c19e26", "kernel_id": "234268"}, {"ref": "peiyangdata/fork-of-fork-of-fork-of-notebook5605c19e26", "kernel_id": "234260"}, {"ref": "peiyangdata/fork-of-fork-of-fork-of-fork-of-fork-of-notebook56", "kernel_id": "234934"}, {"ref": "peiyangdata/fork-of-fork-of-fork-of-fork-of-fork-of-for-2b383f", "kernel_id": "235317"}, {"ref": "peiyangdata/fork-of-fork-of-fork-of-fork-of-fork-of-fork-of-no", "kernel_id": "235238"}, {"ref": "peiyangdata/fork-of-fork-of-fork-of-fork-of-fork-of-for-c43dd8", "kernel_id": "235424"}, {"ref": "peiyangdata/notebookc94ee8555c", "kernel_id": "235357"}, {"ref": "peiyangdata/fork-of-fork-of-fork-of-fork-of-fork-of-for-64b348", "kernel_id": "235338"}, {"ref": "peiyangdata/fork-of-notebookc94ee8555c", "kernel_id": "235436"}, {"ref": "peiyangdata/notebook0caf1765b9", "kernel_id": "230353"}, {"ref": "peiyangdata/fork-of-notebook5605c19e26", "kernel_id": "231117"}, {"ref": "peiyangdata/notebook1d4154d6f8", "kernel_id": "237903"}, {"ref": "peiyangdata/notebookd7b80c5a98", "kernel_id": "237072"}, {"ref": "peiyangdata/fork-of-fork-of-fork-of-fork-of-fork-of-for-5769b1", "kernel_id": "237010"}, {"ref": "peiyangdata/fork-of-fork-of-fork-of-fork-of-fork-of-for-579890", "kernel_id": "237013"}, {"ref": "peiyangdata/notebook59309099c8", "kernel_id": "239559"}, {"ref": "peiyangdata/notebook3df9e89c78", "kernel_id": "239588"}, {"ref": "excitebike/notebook2f7c095a34", "kernel_id": "240201"}, {"ref": "venkatbeece/testing-1", "kernel_id": "243087"}, {"ref": "menezeslucas/notebook9c40c4adf3", "kernel_id": "248553"}, {"ref": "menezeslucas/fork-of-notebook9c40c4adf3", "kernel_id": "272710"}, {"ref": "jialiu2/notebook0632057f22", "kernel_id": "231271"}, {"ref": "curayious/how-to-correctly-load-data-into-r", "kernel_id": "237988"}, {"ref": "curayious/exploring-2-forked", "kernel_id": "238000"}, {"ref": "amalik23/notebook6fb3e33164", "kernel_id": "232689"}, {"ref": "solaris33/random-forest-starter-with-numerical-features", "kernel_id": "233603"}, {"ref": "dm14348077/cv-statistics-better-parameters-and-explaination", "kernel_id": "241850"}, {"ref": "misenholt/notebook0c12d3bb8f", "kernel_id": "237563"}, {"ref": "misenholt/two-sigma-rental-listings", "kernel_id": "235272"}, {"ref": "jonathonh/notebookd2db4b8f45", "kernel_id": "235523"}, {"ref": "aisync/notebookfc2ae5d23b", "kernel_id": "236719"}, {"ref": "dm14348030/test-v1", "kernel_id": "237826"}, {"ref": "zbasper/test-for-two-sigma", "kernel_id": "239128"}, {"ref": "jcipar/notebook0b3c44494b", "kernel_id": "239467"}, {"ref": "schand34/notebookbd76cdeb29", "kernel_id": "238631"}, {"ref": "kirsteny/model-nb", "kernel_id": "241333"}, {"ref": "kirsteny/key-eda-figure-out-how-this-works", "kernel_id": "239468"}, {"ref": "kirsteny/key-test", "kernel_id": "239488"}, {"ref": "kirsteny/model-lr", "kernel_id": "241722"}, {"ref": "kirsteny/model-rf", "kernel_id": "241414"}, {"ref": "kirsteny/model-2", "kernel_id": "241412"}, {"ref": "kirsteny/notebooka8c34f5e3b", "kernel_id": "241528"}, {"ref": "slackerdog/firsttry", "kernel_id": "241910"}, {"ref": "slackerdog/notebook3219346c88", "kernel_id": "241901"}, {"ref": "jianglb7/cv-statistics-better-parameters-and-explaination", "kernel_id": "255238"}, {"ref": "timmenk/notebook8d97187500", "kernel_id": "241973"}, {"ref": "qinhui0104/notebook6ab2b3eeee", "kernel_id": "244282"}, {"ref": "qinhui0104/notebooke6bcac75da", "kernel_id": "244284"}, {"ref": "moonhackk/notebook236baaf6c0", "kernel_id": "243425"}, {"ref": "moonhackk/notebook09f872ec0b", "kernel_id": "243442"}, {"ref": "moonhackk/sjhfjhsj", "kernel_id": "243443"}, {"ref": "frankliu719/notebook3117d15693", "kernel_id": "246404"}, {"ref": "frankliu719/notebookcd9ce0227f", "kernel_id": "246452"}, {"ref": "frankliu719/notebookf1d04e173e", "kernel_id": "246454"}, {"ref": "mafuyi/notebook7852dba2b1", "kernel_id": "271322"}, {"ref": "hyunkyung12/kernel19b52a1b29", "kernel_id": "685472"}, {"ref": "kashnitsky/topic-6-feature-engineering-and-feature-selection", "kernel_id": "1215733"}, {"ref": "asdftoger/assessing-feature-importance-using-random-forests", "kernel_id": "1948894"}, {"ref": "gaurav9297/using-tensorflow-neural-network", "kernel_id": "1018072"}, {"ref": "shubhamlink/taxifareprediction-featureeng-randomforest", "kernel_id": "1465737"}, {"ref": "kuijinxia/xgb-train", "kernel_id": "1092994"}, {"ref": "timsonrisa/two-rental-p-3-xgboost", "kernel_id": "1922486"}, {"ref": "timsonrisa/two-rental-p-1-data-exploration", "kernel_id": "1863356"}, {"ref": "timsonrisa/two-rental-p-2-random-forest", "kernel_id": "1872293"}, {"ref": "smspillaz/aalto-s-kaggle-course-uploaded-kernel", "kernel_id": "2822230"}, {"ref": "smspillaz/aalto-s-how-to-win-a-kaggle-competition-course", "kernel_id": "2418597"}, {"ref": "jimitos10/map-visualization", "kernel_id": "2013654"}, {"ref": "lpdataninja/data-science-glossary-4-random-forest", "kernel_id": "2537427"}, {"ref": "phamdinhkhanh/k-thu-t-feature-engineering", "kernel_id": "2132197"}, {"ref": "hugoboum/projet-machine-learning-final", "kernel_id": "3831013"}, {"ref": "abhishekyadav5/rent-listing", "kernel_id": "3894135"}, {"ref": "juanmah/grid-search-table-plot", "kernel_id": "5936252"}, {"ref": "chriscc/twosigmarenthop-advanced-feature-engineering", "kernel_id": "6713959"}, {"ref": "naina04/eda-two-sigma-connect", "kernel_id": "6163815"}, {"ref": "shrikantds/rental-prediction-with-xgb-and-eda", "kernel_id": "7385189"}, {"ref": "slavik0505/kernel43aae13b62", "kernel_id": "9391677"}, {"ref": "renoip2/kernel3b02fcee6a", "kernel_id": "9220047"}, {"ref": "kaggleaar/eda-and-data-visualisation-basic", "kernel_id": "9622021"}, {"ref": "shinbg/two-sigma-connect-rental-listing-inquiries", "kernel_id": "9540769"}, {"ref": "finlay/kaggle-ch1", "kernel_id": "10854007"}, {"ref": "finlay/kaggle-ch3", "kernel_id": "10981689"}, {"ref": "finlay/kaggle-ch4", "kernel_id": "10998681"}, {"ref": "seunghyunlee96/simple-classification-rental-listing-inquiries", "kernel_id": "10596742"}, {"ref": "chriscc/twosigma-model-tuning", "kernel_id": "11247801"}, {"ref": "cihan063/random-forest-pdp-extrapolation", "kernel_id": "11390877"}, {"ref": "janggh/two-sigma-connect-rental-listing-inquiries-200906", "kernel_id": "11574982"}, {"ref": "nehalbandal/two-sigma-connect-eda-prediction-using-catboost", "kernel_id": "12350058"}, {"ref": "swanawoo/twosigma-v2-class", "kernel_id": "13977860"}, {"ref": "finlay/two-sigma-eda-and-tree-models", "kernel_id": "14837215"}, {"ref": "zhidkovala/2sigma", "kernel_id": "14401205"}, {"ref": "dawool1218/two-sigma-210409-ml-p", "kernel_id": "16110335"}, {"ref": "kiranroy/rental-listing", "kernel_id": "16126550"}, {"ref": "chriscc/cat-experiment", "kernel_id": "17768077"}, {"ref": "lilsummer877/bias-variance-decomposition-using-random-forest", "kernel_id": "20875291"}, {"ref": "xxxsaq/notebook4a27f8887d", "kernel_id": "21166895"}, {"ref": "anastasiiatimoshina/flat-rent", "kernel_id": "24786973"}, {"ref": "irinashpakovskaya/part-1", "kernel_id": "24801880"}, {"ref": "alenakokorina/cft-task-1", "kernel_id": "24590161"}, {"ref": "irynaalshakova/notebook5346bd2154", "kernel_id": "24822834"}, {"ref": "daniilmelnik/notebookc1ae759f4c", "kernel_id": "24739264"}, {"ref": "furkanocalann/eda-xgboost-lofo-optuna", "kernel_id": "24004352"}, {"ref": "furkanocalann/regression-price-different-type-ml-models", "kernel_id": "24005671"}, {"ref": "olesyakolpakova/rental-listing-inquiries", "kernel_id": "24705545"}, {"ref": "paveltrusov/two-sigma-rental-catboost", "kernel_id": "24172779"}, {"ref": "mishasych/twosigma-part1", "kernel_id": "27022073"}, {"ref": "jiangyuany/2-sigma-eda", "kernel_id": "32737336"}, {"ref": "nadezhda2019/features-and-ensembles", "kernel_id": "56563494"}, {"ref": "kvashukartyom/labwork-5", "kernel_id": "67211333"}, {"ref": "ruslansavustian/topic-6-feature-engineering-and-feature-selection", "kernel_id": "70764182"}, {"ref": "s1b05a/random-forest-starter-with-numerical-features", "kernel_id": "93821860"}, {"ref": "fedvan88/rental-listing-inquiries-ml2-project", "kernel_id": "96962447"}]}
{"competition_id": "5618", "kernels": []}
{"competition_id": "5658", "kernels": []}
{"competition_id": "5674", "kernels": []}
{"competition_id": "5686", "kernels": []}
{"competition_id": "5693", "kernels": [{"ref": "wcukierski/testing-input-files-5", "kernel_id": "110875"}, {"ref": "bartveroude/notebook7b676f9459", "kernel_id": "185597"}, {"ref": "gsubramanian/notebook74c6a063e2", "kernel_id": "212481"}, {"ref": "laxmiv/notebookb896a5ad3e", "kernel_id": "183450"}, {"ref": "laxmiv/tag-prediction", "kernel_id": "183452"}, {"ref": "vogeltje/testing-out-the-kaggle-kernels", "kernel_id": "123077"}, {"ref": "hiatus/notebook6ab2ad65a4", "kernel_id": "219682"}, {"ref": "hiatus/tf-idf-distribution-of-tag-and-non-tag", "kernel_id": "220277"}, {"ref": "aconsapart/notebooka0f92d450b", "kernel_id": "123055"}, {"ref": "prembigdata/notebookbd9ffe7b69", "kernel_id": "118578"}, {"ref": "statephase/notebook5589e00ae4", "kernel_id": "111273"}, {"ref": "sudalairajkumar/simple-exploration-notebook", "kernel_id": "112871"}, {"ref": "sudalairajkumar/frequent-words-model-v3", "kernel_id": "114473"}, {"ref": "jacksonlark/tags-exploration-distribution-and-shared-tags", "kernel_id": "164888"}, {"ref": "jacksonlark/useful-text-preprocessing-on-the-datasets", "kernel_id": "164890"}, {"ref": "jacksonlark/useful-text-preprocessing-on-the-datasets-9be34f69", "kernel_id": "164901"}, {"ref": "sschneider/useful-text-preprocessing-on-the-datasets", "kernel_id": "168833"}, {"ref": "tomderuijter/tf-idf", "kernel_id": "125971"}, {"ref": "lukechen526/notebookdc11b3a027", "kernel_id": "211736"}, {"ref": "mf34richard/useful-text-preprocessing-on-the-datasets", "kernel_id": "185318"}, {"ref": "mf34richard/notebook793c887e50", "kernel_id": "150389"}, {"ref": "micheleusuelli/nlp-and-deep-learning", "kernel_id": "185728"}, {"ref": "micheleusuelli/nlp-and-deep-learning-fc62fe", "kernel_id": "189687"}, {"ref": "ivelin/transfer-learning-script-1", "kernel_id": "156996"}, {"ref": "ivelin/notebook43ec43f1be", "kernel_id": "157001"}, {"ref": "samkugji/notebookf934f8611d", "kernel_id": "153910"}, {"ref": "samkugji/notebook7e47df2aa2", "kernel_id": "153942"}, {"ref": "anhgemus/testing", "kernel_id": "115565"}, {"ref": "jsardinha/notebookb86f0aa9d8", "kernel_id": "128117"}, {"ref": "jsardinha/notebooka7006eba2f", "kernel_id": "128104"}, {"ref": "jsardinha/notebook615f573da6", "kernel_id": "128105"}, {"ref": "nlothian/notebook681f52345c", "kernel_id": "124737"}, {"ref": "nlothian/adversarial-validation", "kernel_id": "134716"}, {"ref": "juanignaciogil/notebook69f694c6fe", "kernel_id": "113032"}, {"ref": "specialops/notebookfac0b1390e", "kernel_id": "123365"}, {"ref": "jobrown/notebookf1407e2ffe", "kernel_id": "142787"}, {"ref": "adigamov/notebookf3a3d40613", "kernel_id": "152244"}, {"ref": "amalhotra/notebook164193a44e", "kernel_id": "128116"}, {"ref": "amalhotra/transfer-learning-notebook", "kernel_id": "128097"}, {"ref": "amalhotra/notebookf161a8b014", "kernel_id": "128099"}, {"ref": "amalhotra/test1", "kernel_id": "128102"}, {"ref": "chenzhijiao/zc-tag-pred", "kernel_id": "199874"}, {"ref": "palashgoyal1/notebook7ebcd712f2", "kernel_id": "177079"}, {"ref": "palashgoyal1/notebook147512a2f9", "kernel_id": "166157"}, {"ref": "kirahg/common-words-in-title-and-content", "kernel_id": "146947"}, {"ref": "rluismx/notebook9b99c0bf71", "kernel_id": "131837"}, {"ref": "jmccabe/text-preprocessing", "kernel_id": "175024"}, {"ref": "guilhermesantos/simple-exploration-notebook", "kernel_id": "138687"}, {"ref": "keshavseth/notebookad0f444000", "kernel_id": "180830"}, {"ref": "bikdroid/first-notes", "kernel_id": "164782"}, {"ref": "gowdhamand/notebookcff9865ceb", "kernel_id": "164482"}, {"ref": "pratik1390/notebook013da69875", "kernel_id": "122969"}, {"ref": "pratik1390/notebook75ceccba35", "kernel_id": "201438"}, {"ref": "louisguth/notebook9e9b9c6630", "kernel_id": "144711"}, {"ref": "louisguth/notebook5fc2b521e1", "kernel_id": "144714"}, {"ref": "budhiraja/notebookb0e0567511", "kernel_id": "180981"}, {"ref": "budhiraja/notebook802a5c1c1f", "kernel_id": "180982"}, {"ref": "jdamato718/notebook6a86daf1f8", "kernel_id": "123477"}, {"ref": "darshansorted/simple-exploration-notebook", "kernel_id": "115888"}, {"ref": "rajeshbhat/notebook4daf37a299", "kernel_id": "130499"}, {"ref": "ericawh/notebook6e4392a7ef", "kernel_id": "175843"}, {"ref": "ericawh/so-test-2-issues-with-kernel", "kernel_id": "201763"}, {"ref": "cheerchen/transfer-learning-for-kaggle-v1", "kernel_id": "228576"}, {"ref": "plutonic/notebook4920916856", "kernel_id": "126616"}, {"ref": "plutonic/notebook2f949e98cd", "kernel_id": "126604"}, {"ref": "plutonic/notebook1031f59699", "kernel_id": "126605"}, {"ref": "plutonic/starting-out", "kernel_id": "126472"}, {"ref": "harshratde/first-touch", "kernel_id": "192694"}, {"ref": "harshratde/fork-of-first-touch", "kernel_id": "192702"}, {"ref": "harshratde/notebook9457f459c3", "kernel_id": "187922"}, {"ref": "nitinnataraj/notebook6919083f29", "kernel_id": "205091"}, {"ref": "tiphtiph/notebookdc9648faa0", "kernel_id": "141322"}, {"ref": "tiphtiph/notebook2f56c6fdaa", "kernel_id": "141323"}, {"ref": "alyosama/stackexchange-tags", "kernel_id": "121578"}, {"ref": "danjiao/notebook8cc1acec1a", "kernel_id": "114493"}, {"ref": "ymcdull/frequent-words-model", "kernel_id": "124883"}, {"ref": "shifanmao/nlp-and-deep-learning", "kernel_id": "177038"}, {"ref": "mangetic356/notebookcbe5643e3b", "kernel_id": "173564"}, {"ref": "b01901169/notebook77b21b7539", "kernel_id": "146595"}, {"ref": "kenin815/tests", "kernel_id": "116563"}, {"ref": "lgadsden/creating-set-of-tags", "kernel_id": "170739"}, {"ref": "iliapikos/notebook4c6bedeffb", "kernel_id": "143800"}, {"ref": "liaopan/a-simple-trial-1", "kernel_id": "183506"}, {"ref": "vivekkhetan/tags-exploration-distribution-and-shared-tags", "kernel_id": "144314"}, {"ref": "ifdys123/useful-text-preprocessing-on-the-datasets", "kernel_id": "193556"}, {"ref": "ifdys123/useful-text-preprocessing-on-the-datasets-3ebf4b", "kernel_id": "193558"}, {"ref": "sderaco/word-clouds", "kernel_id": "168018"}, {"ref": "sderaco/useful-text-preprocessing-on-the-datasets", "kernel_id": "168019"}, {"ref": "sderaco/tags-exploration-distribution-and-shared-tags", "kernel_id": "168020"}, {"ref": "prakashanand/transferlearning", "kernel_id": "193983"}, {"ref": "rinalin/predicting-stackflow-tags", "kernel_id": "203735"}, {"ref": "rinalin/building-topic-specific-vocabularies", "kernel_id": "210739"}, {"ref": "hnkryden/notebook586ae8e58c", "kernel_id": "194386"}, {"ref": "bfollinprm/notebookb22a0cd6bf", "kernel_id": "211574"}, {"ref": "nalasadi/notebook7bbf428f54", "kernel_id": "130131"}, {"ref": "sarnthil/notebookb67fd4f54f", "kernel_id": "132482"}, {"ref": "chelo26/useful-text-preprocessing-on-the-datasets", "kernel_id": "168699"}, {"ref": "yinanxu/my-scratchpad-lb-0-08603", "kernel_id": "163031"}, {"ref": "vasaibaby/r-cleaning-data-and-using-tf-idf", "kernel_id": "187963"}, {"ref": "uyuutosa/notebook59a0f93049", "kernel_id": "186168"}, {"ref": "janpreets/simple-exploration-notebook", "kernel_id": "136849"}, {"ref": "ejeongsil/notebook91f56b1dc4", "kernel_id": "171383"}, {"ref": "sukase/my-scratchpad", "kernel_id": "164589"}, {"ref": "sajal0jain/notebook56cd6bbf75", "kernel_id": "133426"}, {"ref": "gauravjain/notebook8d08d4e819", "kernel_id": "192721"}, {"ref": "poyuwu/test-py-1", "kernel_id": "112316"}, {"ref": "mohanv/notebook239a9054b9", "kernel_id": "249210"}, {"ref": "aidisstukas/tags-exploration-distribution-and-shared-tags", "kernel_id": "219590"}, {"ref": "sagado/n-gram-tf-idf-lb-0-08412", "kernel_id": "159248"}, {"ref": "sagado/tags-exploration-distribution-and-shared-tags", "kernel_id": "142212"}, {"ref": "jasonlin/notebook0472fff0ed", "kernel_id": "131926"}, {"ref": "jasonlin/notebook1bdfc976bb", "kernel_id": "129405"}, {"ref": "peskotiveswf/notebook37b049e123", "kernel_id": "131970"}, {"ref": "architgarg1515/notebook3aae349053", "kernel_id": "168659"}, {"ref": "mkoberst/notebookc33df6f5a1", "kernel_id": "127437"}, {"ref": "chinmaygore/hello-kaggle", "kernel_id": "189173"}, {"ref": "arunkhattri/physic-corpus-feature-extraction-through-tfidf-v1", "kernel_id": "168394"}, {"ref": "ammara/my-scratchpad-lb-0-08603", "kernel_id": "165060"}, {"ref": "narae78/predict-tags-with-tf-idf-method", "kernel_id": "193972"}, {"ref": "narae78/useful-text-preprocessing-on-the-datasets", "kernel_id": "176803"}, {"ref": "aissaelouafi/notebook1078c601f8", "kernel_id": "120838"}, {"ref": "driger/test1", "kernel_id": "111962"}, {"ref": "thomaskahn/notebooke73541e0f3", "kernel_id": "197870"}, {"ref": "minamoradi/notebook3faffe07b3", "kernel_id": "129816"}, {"ref": "hackpoetic/notebook30d607b8cf", "kernel_id": "151806"}, {"ref": "marvel308/notebook102a96e8a6", "kernel_id": "181686"}, {"ref": "inakdwl/notebook51c9833cc6", "kernel_id": "191609"}, {"ref": "katarz/tags-exploration", "kernel_id": "123228"}, {"ref": "arjoonn/scout-script-9", "kernel_id": "118217"}, {"ref": "prudhviraj12/test1", "kernel_id": "136546"}, {"ref": "anokas/frequent-words-model-v2", "kernel_id": "114923"}, {"ref": "evanwang1028/my-scratchpad", "kernel_id": "124880"}, {"ref": "evanwang1028/n-gram-tf-idf-lb-0-08412", "kernel_id": "179427"}, {"ref": "evanwang1028/1d9cj29c3j4", "kernel_id": "179140"}, {"ref": "guilhermduarte/notebook3b6fcbb916", "kernel_id": "200523"}, {"ref": "huakaijianwo/first-eda", "kernel_id": "201034"}, {"ref": "bsparks/test1", "kernel_id": "158518"}, {"ref": "timoeller/notebook8ee614cdbe", "kernel_id": "172921"}, {"ref": "biancafurtuna/notebook549201d18a", "kernel_id": "204543"}, {"ref": "eliotbarr/word-clouds", "kernel_id": "137886"}, {"ref": "yangkai/notebookda8297bb16", "kernel_id": "161390"}, {"ref": "hhhhhhhhhh/physic-corpus-feature-extraction-through-tfidf-v1", "kernel_id": "176519"}, {"ref": "hhhhhhhhhh/notebooka1f28ada7d", "kernel_id": "177438"}, {"ref": "hhhhhhhhhh/sub2222", "kernel_id": "177441"}, {"ref": "hhhhhhhhhh/notebook388903ae20", "kernel_id": "175716"}, {"ref": "hhhhhhhhhh/notebooke915248fe6", "kernel_id": "175717"}, {"ref": "jihyeseo/html-generate-tag-nlp", "kernel_id": "958712"}, {"ref": "surajrusc/notebookc2901e220b", "kernel_id": "154282"}, {"ref": "kaelchan/notebook7285f6f590", "kernel_id": "211084"}, {"ref": "amansrivastava/useful-text-preprocessing-on-the-datasets", "kernel_id": "163306"}, {"ref": "alwayssai/stocks-tags", "kernel_id": "199201"}, {"ref": "alwayssai/testing", "kernel_id": "199371"}, {"ref": "joshuabarber/notebook90b44292f0", "kernel_id": "191584"}, {"ref": "gweijie/notebook9e0e0b8cdc", "kernel_id": "119694"}, {"ref": "hlchen/notebookba4d90317f", "kernel_id": "152601"}, {"ref": "tumm1944/simple-data-visualization", "kernel_id": "132645"}, {"ref": "vineetkothari/notebookf1038a484b", "kernel_id": "136973"}, {"ref": "vineetkothari/notebookf56218ad99", "kernel_id": "136974"}, {"ref": "vineetkothari/notebook084b7c3256", "kernel_id": "136981"}, {"ref": "chenpeikai/notebookc740523109", "kernel_id": "203448"}, {"ref": "anshbansal/exploration", "kernel_id": "181196"}, {"ref": "shreemoyeesarkar/frequent-words-model-forked1", "kernel_id": "213079"}, {"ref": "shreemoyeesarkar/tryme2", "kernel_id": "210400"}, {"ref": "shreemoyeesarkar/try-me1", "kernel_id": "210379"}, {"ref": "shreemoyeesarkar/notebook8e87cec0d9", "kernel_id": "210388"}, {"ref": "voyageth/transfer-learning-on-stack-exchange-tags-20170103", "kernel_id": "150293"}, {"ref": "seemamishra33/useful-text-preprocessing-on-the-datasets", "kernel_id": "764649"}, {"ref": "brandonojy/notebookb64ed4c24b", "kernel_id": "130685"}, {"ref": "brandonojy/notebook76183a29af", "kernel_id": "130569"}, {"ref": "thejohnbackes/notebook3bd29c1ba9", "kernel_id": "178650"}, {"ref": "saustar/notebook70675cbdb8", "kernel_id": "118344"}, {"ref": "tjvananne/tag-to-title-content-matching-in-r-first-attempt", "kernel_id": "132815"}, {"ref": "xingobar/simple-data-visualization-1", "kernel_id": "124796"}, {"ref": "xingobar/simple-nlp-lb-0-08349", "kernel_id": "124809"}, {"ref": "xingobar/starter", "kernel_id": "131293"}, {"ref": "abehmiel/predicting-stackexchange-physics-tags", "kernel_id": "110898"}, {"ref": "tjin14/stack-exchange-primary-run", "kernel_id": "129459"}, {"ref": "skywoods2001/notebook631c547322", "kernel_id": "165911"}, {"ref": "skywoods2001/notebook81c66636e2", "kernel_id": "163987"}, {"ref": "akanai/notebookc9ad9027b1", "kernel_id": "182423"}, {"ref": "charlescostello/transfer-learning-on-stack-exchange-tags", "kernel_id": "118392"}, {"ref": "charlescostello/physics-tags", "kernel_id": "117370"}, {"ref": "magneto77/multilabel-predication", "kernel_id": "272246"}, {"ref": "tinmantapestry/notebook8ea3e8dd54", "kernel_id": "207828"}, {"ref": "jinrui/tfidf", "kernel_id": "133545"}, {"ref": "jinrui/notebook5b7b1460ed", "kernel_id": "132600"}, {"ref": "jinrui/tf-idf", "kernel_id": "132153"}, {"ref": "jinrui/notebook51c184eaf9", "kernel_id": "132187"}, {"ref": "jinrui/predit-tags", "kernel_id": "132149"}, {"ref": "ankitactive/notebooke942053911-4e737fe5", "kernel_id": "149782"}, {"ref": "ankitactive/notebooke942053911", "kernel_id": "142499"}, {"ref": "cjcoleman/useful-text-preprocessing-on-the-datasets", "kernel_id": "193307"}, {"ref": "matias3/my-scratchpad", "kernel_id": "175498"}, {"ref": "andrewpelton/notebook017d2e9ca2", "kernel_id": "162494"}, {"ref": "andrewpelton/useful-text-preprocessing-on-the-datasets", "kernel_id": "182680"}, {"ref": "sourabh1024/useful-text-preprocessing-on-the-datasets", "kernel_id": "182043"}, {"ref": "sourabh1024/exploring-dataset-tags", "kernel_id": "181964"}, {"ref": "johnzhao/notebook5626c16df5", "kernel_id": "124028"}, {"ref": "l3nnys/useful-text-preprocessing-on-the-datasets", "kernel_id": "148264"}, {"ref": "huangneng/transfer-learning-on-stack-exchange-tags", "kernel_id": "202749"}, {"ref": "ocosean/notebookc80cc598ad", "kernel_id": "164804"}, {"ref": "tastevin/notebook25db9d0391", "kernel_id": "189683"}, {"ref": "tastevin/notebook539dcb6992", "kernel_id": "157540"}, {"ref": "tastevin/n-gram-tf-idf-lb-0-08412", "kernel_id": "167848"}, {"ref": "himako/useful-text-preprocessing-on-the-datasets", "kernel_id": "181523"}, {"ref": "zhenqiwang/notebookda5d175a2a", "kernel_id": "155913"}, {"ref": "zhenqiwang/notebook7360413921", "kernel_id": "155114"}, {"ref": "lcyraphael/notebook24b2b2be92", "kernel_id": "267404"}, {"ref": "ansmirnov/word-statistics", "kernel_id": "132871"}, {"ref": "ansmirnov/notebook942dbf0ec3", "kernel_id": "132750"}, {"ref": "ansmirnov/notebook3795494b2e", "kernel_id": "132927"}, {"ref": "ansmirnov/word-analysis", "kernel_id": "131195"}, {"ref": "ansmirnov/notebook71936c4f5e", "kernel_id": "131242"}, {"ref": "greepex/notebookd5cedc3f8b", "kernel_id": "208835"}, {"ref": "ntueeyyj/simple-data-visualization", "kernel_id": "134077"}, {"ref": "oaoaoao/notebookf711ba1e39", "kernel_id": "135800"}, {"ref": "narikimc/test0421", "kernel_id": "239817"}, {"ref": "eatingsnoopy/notebook9f37c74962", "kernel_id": "129352"}, {"ref": "ssalex/notebookeb55d7339c", "kernel_id": "134205"}, {"ref": "yantingchn/notebook224a9f0b52", "kernel_id": "141089"}, {"ref": "yantingchn/notebookea6da0db3f", "kernel_id": "141090"}, {"ref": "changhc/notebooka03713bccb", "kernel_id": "133007"}, {"ref": "b02901120/notebook22f2416aba", "kernel_id": "134337"}, {"ref": "gary083/notebook18ef5fb8ea", "kernel_id": "137678"}, {"ref": "chungkaihsieh/notebook1b43b0626e", "kernel_id": "134117"}, {"ref": "aleksey22/notebookea0d293e53", "kernel_id": "242887"}, {"ref": "aleksey22/notebook78f3cf4524", "kernel_id": "236408"}, {"ref": "aleksey22/notebook726fc968d6", "kernel_id": "116740"}, {"ref": "khleoshih/notebook9acee2ba60", "kernel_id": "135805"}, {"ref": "ppetter1025/notebook64f16780ef", "kernel_id": "134111"}, {"ref": "deanda/worst", "kernel_id": "210988"}, {"ref": "rafaleo/my-first-kernel-tm-algorithm-in-r", "kernel_id": "136038"}, {"ref": "rafaleo/my-scratchpad-lb-0-08603", "kernel_id": "134695"}, {"ref": "cwwuhaley/testnotebook", "kernel_id": "135648"}, {"ref": "cescfangs/useful-text-preprocessing-on-the-datasets", "kernel_id": "160481"}, {"ref": "xxzzmm323/notebook084608a2ed", "kernel_id": "126554"}, {"ref": "nturyan2448/supervised-learning-binary-relevance", "kernel_id": "145373"}, {"ref": "pchen2890/test-run", "kernel_id": "167974"}, {"ref": "baikovamaria/notebook76f45a55f9", "kernel_id": "129976"}, {"ref": "smbabapour/notebookf5b08bf208", "kernel_id": "166578"}, {"ref": "chinoyravi/notebook451d194d6a", "kernel_id": "120082"}, {"ref": "francescodesimone/data-exploration", "kernel_id": "175123"}, {"ref": "garnetreds7/notebook140137f62a", "kernel_id": "115100"}, {"ref": "davidprakash/top-3", "kernel_id": "200505"}, {"ref": "randolphyao007/notebookd9bd726807", "kernel_id": "121540"}, {"ref": "yunjii/notebook90d2adc4b1", "kernel_id": "156167"}, {"ref": "pubudur/test12-1", "kernel_id": "202845"}, {"ref": "jiipeen/notebook80430dd35f", "kernel_id": "113621"}, {"ref": "tsepaka/notebookeb89de10b0", "kernel_id": "111475"}, {"ref": "mrtroll/analyzing-transfer-learning-on-stack-exchange-tags", "kernel_id": "147996"}, {"ref": "mrtroll/analying-tfidf-biology-corpus", "kernel_id": "148677"}, {"ref": "mrtroll/physic-corpus-feature-extraction-through-tfidf-v1", "kernel_id": "150302"}, {"ref": "gologer28/notebook22472ed4bc", "kernel_id": "113623"}, {"ref": "marinaueb/notebook423fc43039", "kernel_id": "153524"}, {"ref": "marinaueb/notebookfe7df8097e", "kernel_id": "150996"}, {"ref": "artzhang/notebook1e048c4a27", "kernel_id": "140129"}, {"ref": "ambarish16/hello", "kernel_id": "163139"}, {"ref": "ibirtic/notebookc437774baa", "kernel_id": "128516"}, {"ref": "ibirtic/notebook296d9baa6f", "kernel_id": "144164"}, {"ref": "gshevchuk/dataset-predicting", "kernel_id": "193512"}, {"ref": "ogagauzoh/notebook227f6e1acd", "kernel_id": "129664"}, {"ref": "chaklader/notebooke6e688baae", "kernel_id": "116942"}, {"ref": "chaklader/test-py", "kernel_id": "116943"}, {"ref": "iliachatz/notebook6aa8c25a8d", "kernel_id": "149259"}, {"ref": "iliachatz/first-testing-ic", "kernel_id": "145451"}, {"ref": "iliachatz/notebook1a4762d58a", "kernel_id": "137843"}, {"ref": "kotobotov/frequent-words-model-v3", "kernel_id": "157576"}, {"ref": "minketeer/tryme2", "kernel_id": "211026"}, {"ref": "chenroot/notebookf0eb51ae21", "kernel_id": "124207"}, {"ref": "chenroot/stack-exchange-tags", "kernel_id": "124209"}, {"ref": "pierre54/supervised-learning-binary-relevance", "kernel_id": "142293"}, {"ref": "suryapv/tf-idf", "kernel_id": "136643"}, {"ref": "suryapv/notebook60703cd2a6", "kernel_id": "134773"}, {"ref": "yeats79/notebook764ce2ed64", "kernel_id": "123639"}, {"ref": "yeats79/check-data", "kernel_id": "123759"}, {"ref": "xiaoliuyujia/wfwtl", "kernel_id": "200014"}, {"ref": "xiaoliuyujia/wfwtl1", "kernel_id": "200313"}, {"ref": "gsuehr/notebookca66b93e04", "kernel_id": "123559"}, {"ref": "zbyte64/tags-exploration", "kernel_id": "123957"}, {"ref": "kerchner/test-notebook", "kernel_id": "174554"}, {"ref": "kerchner/creating-set-of-tags", "kernel_id": "174555"}, {"ref": "sruthisripathi/useful-text-preprocessing-on-the-datasets", "kernel_id": "170923"}, {"ref": "mboker/useful-text-preprocessing-on-the-datasets-818d87", "kernel_id": "188387"}, {"ref": "mboker/useful-text-preprocessing-on-the-datasets-d13463", "kernel_id": "188392"}, {"ref": "mboker/useful-text-preprocessing-on-the-datasets", "kernel_id": "188384"}, {"ref": "issamemari/notebookb8b88a33dc", "kernel_id": "130275"}, {"ref": "sofiane87/useful-text-preprocessing-on-the-datasets", "kernel_id": "164958"}, {"ref": "siriuscorp/notebookcb7ebe7afa", "kernel_id": "212303"}, {"ref": "eliveriou/test1", "kernel_id": "144612"}, {"ref": "eliveriou/notebook48fc637029", "kernel_id": "144625"}, {"ref": "eliveriou/notebookb575d83253", "kernel_id": "144631"}, {"ref": "eliveriou/tests1", "kernel_id": "144546"}, {"ref": "eliveriou/notebooke3bd42d3dd", "kernel_id": "144547"}, {"ref": "ccwolf64/notebook33cc863c30", "kernel_id": "145529"}, {"ref": "lauris/notebook9ac40f5927", "kernel_id": "205964"}, {"ref": "andropag/notebook6dbc367d2f", "kernel_id": "146208"}, {"ref": "mariapapadaki/notebook94fc0aaf14", "kernel_id": "148417"}, {"ref": "sotirisnik/notebook5a88656247", "kernel_id": "146161"}, {"ref": "sotirisnik/notebook32796deb77", "kernel_id": "146053"}, {"ref": "sotirisnik/notebookb59b9b20ec", "kernel_id": "146044"}, {"ref": "sotirisnik/notebookf642f3d319", "kernel_id": "146046"}, {"ref": "sotirisnik/notebook1c42b05501", "kernel_id": "148225"}, {"ref": "sotirisnik/notebook782444ae14", "kernel_id": "153560"}, {"ref": "vkhetan/supervised-learning-binary-relevance", "kernel_id": "144907"}, {"ref": "kdkf13/notebook656c4b3431", "kernel_id": "145535"}, {"ref": "klumbard/useful-text-preprocessing-on-the-datasets", "kernel_id": "186528"}, {"ref": "jyotismita4/notebook52f6aa9c81", "kernel_id": "151357"}, {"ref": "vivekverma/notebooke571f50105", "kernel_id": "151329"}, {"ref": "hanhha/notebookf23ce7baf1", "kernel_id": "191068"}, {"ref": "alokpanjiyar/notebookcddad01ee3", "kernel_id": "151344"}, {"ref": "alokpanjiyar/notebook6b5d178b8f", "kernel_id": "151340"}, {"ref": "alokpanjiyar/notebookf8c1439dbd", "kernel_id": "151326"}, {"ref": "sheoran/fork-of-transfer-learning-as-stack-exchanges-tags", "kernel_id": "183767"}, {"ref": "sheoran/transfer-learning-on-stack-exchanges-tags", "kernel_id": "185823"}, {"ref": "radhakrish/notebook6987ca0698", "kernel_id": "150602"}, {"ref": "ecnuykh/useful-text-preprocessing-on-the-datasets", "kernel_id": "173055"}, {"ref": "volotsky/notebookee2c6065de", "kernel_id": "152487"}, {"ref": "jamartis/notebook2787c9a3b1", "kernel_id": "176041"}, {"ref": "dmstkd7/notebookc91744066b", "kernel_id": "153946"}, {"ref": "dmstkd7/notebooka370c1c8e8", "kernel_id": "154616"}, {"ref": "dmstkd7/notebook0f96dde943", "kernel_id": "154619"}, {"ref": "hjhj21/notebooka39bc5c684", "kernel_id": "154606"}, {"ref": "hjhj21/notebook939e2b3173", "kernel_id": "154615"}, {"ref": "hjhj21/testtest", "kernel_id": "154637"}, {"ref": "hjhj21/test2", "kernel_id": "154656"}, {"ref": "lamteam/notebook58b2d636b8", "kernel_id": "155778"}, {"ref": "guoxuyang/notebook30bc76a224", "kernel_id": "215707"}, {"ref": "laerion/test-script", "kernel_id": "157991"}, {"ref": "laerion/predicting-tags-just-trying", "kernel_id": "158032"}, {"ref": "ucaksbu/sub2222", "kernel_id": "188151"}, {"ref": "jrimestad/input-preprocessing", "kernel_id": "183784"}, {"ref": "jrimestad/notebooked404aa4a3", "kernel_id": "183812"}, {"ref": "anurag3753/tf-idf-based-prediction", "kernel_id": "202138"}, {"ref": "anurag3753/tf-idf-based-prediction-wip", "kernel_id": "203035"}, {"ref": "dlbbdlbb/notebookf9128bdd17", "kernel_id": "164886"}, {"ref": "rahmansazz/useful-text-preprocessing-on-the-datasets", "kernel_id": "165863"}, {"ref": "rahmansazz/tag-to-title-content-matching-in-r-first-attempt", "kernel_id": "172423"}, {"ref": "brirush/notebooka4006e8e92", "kernel_id": "168986"}, {"ref": "brirush/draft-of-kernel-for-stackexchange-tags", "kernel_id": "168988"}, {"ref": "alexprz/notebook08b10a86b2", "kernel_id": "171440"}, {"ref": "max555beyond/test-analysis-1", "kernel_id": "174442"}, {"ref": "wuyufei/n-gram-tf-idf-lb-0-08412", "kernel_id": "196422"}, {"ref": "knittala/stacktags", "kernel_id": "187432"}, {"ref": "xiangwenning/dwdqefqere", "kernel_id": "208598"}, {"ref": "xiangwenning/dwqdfefrfw", "kernel_id": "208599"}, {"ref": "liupingguang/notebook74a3217f7a", "kernel_id": "188584"}, {"ref": "liupingguang/notebook0640dd5dd5", "kernel_id": "188585"}, {"ref": "liupingguang/notebookea2f9f9e20", "kernel_id": "189826"}, {"ref": "liupingguang/notebook7798168eb7", "kernel_id": "190750"}, {"ref": "ginvanglian/useful-text-preprocessing-on-the-datasets", "kernel_id": "191724"}, {"ref": "jhwjhw0123/testing-out-the-kaggle-kernels-bbc35c", "kernel_id": "187359"}, {"ref": "jhwjhw0123/testing-out-the-kaggle-kernels", "kernel_id": "187357"}, {"ref": "ekan825/notebook6ff8831b36", "kernel_id": "187352"}, {"ref": "ekan825/tf-idf-on-cleaned-data-in-r", "kernel_id": "189168"}, {"ref": "ekan825/tf-idf-on-cleaned-data-in-r-e0950a", "kernel_id": "189178"}, {"ref": "liangsong/first-try", "kernel_id": "190983"}, {"ref": "liangsong/useful-text-preprocessing-on-the-datasets", "kernel_id": "191637"}, {"ref": "liangsong/simple-exploration-notebook", "kernel_id": "191639"}, {"ref": "liangsong/useful-text-preprocessing-on-the-datasets-58c439", "kernel_id": "191640"}, {"ref": "ethangela/notebookbb7c788ace", "kernel_id": "219742"}, {"ref": "harshrat/notebook02b554702d", "kernel_id": "192683"}, {"ref": "plarmuseau/tags-svd-classification", "kernel_id": "200624"}, {"ref": "plarmuseau/do-we-map-the-test-titles-or-the-test-content", "kernel_id": "206276"}, {"ref": "plarmuseau/useful-text-preprocessing-on-the-datasets", "kernel_id": "201628"}, {"ref": "plarmuseau/fork-of-transferlearning-3f293d", "kernel_id": "225015"}, {"ref": "plarmuseau/transferlearning", "kernel_id": "217533"}, {"ref": "plarmuseau/glove-solution-works-perfect-imho", "kernel_id": "216086"}, {"ref": "plarmuseau/rake-test", "kernel_id": "210970"}, {"ref": "cocaaladioxine/first-try-ever", "kernel_id": "200569"}, {"ref": "cosmoz/notebook5bce62a7bd", "kernel_id": "197118"}, {"ref": "cosmoz/notebookd2e338ce4e", "kernel_id": "197147"}, {"ref": "cosmoz/preprocessing-and-vectorizing", "kernel_id": "199971"}, {"ref": "anitarau/top-3", "kernel_id": "209733"}, {"ref": "akuzmiakova/find-tags", "kernel_id": "217976"}, {"ref": "tanghao/notebookb757fdd794", "kernel_id": "212085"}, {"ref": "meashupandey/notebook1ba837113f", "kernel_id": "216556"}, {"ref": "fringilla/notebook2fca28efaa", "kernel_id": "218688"}, {"ref": "akshatpathak/text-data-clustering", "kernel_id": "1518420"}, {"ref": "kunwarbisht/text-data-clustering", "kernel_id": "2517427"}, {"ref": "nived89/useful-text-preprocessing-on-the-datasets", "kernel_id": "3199592"}, {"ref": "kaledata/text-classification-stack-exchange-tags", "kernel_id": "4627012"}, {"ref": "rajat700/tag-prediction-tf-idf", "kernel_id": "11140180"}, {"ref": "sowm123/nlp-final-combined", "kernel_id": "36622168"}, {"ref": "yousseftaha98/text-clustering", "kernel_id": "90033650"}, {"ref": "mariamhamada/stock-clusters", "kernel_id": "90038077"}]}
{"competition_id": "5697", "kernels": []}
{"competition_id": "5708", "kernels": [{"ref": "xheimlich/notebook6400dcfd89", "kernel_id": "112893"}, {"ref": "dmitryor/notebooka30453eea8", "kernel_id": "119168"}, {"ref": "dmitryor/notebookf7f12a71f3", "kernel_id": "119071"}, {"ref": "dmitryor/notebook4da753591d", "kernel_id": "119664"}, {"ref": "unmesh/tensorflow-1vs1", "kernel_id": "174504"}, {"ref": "n3n77i/ghosts-data", "kernel_id": "115157"}, {"ref": "vikramgarg/notebook5f5af9fc82", "kernel_id": "121519"}, {"ref": "vikramgarg/notebook486a43749b", "kernel_id": "121534"}, {"ref": "ashaytamhane/notebookc185a78c6a", "kernel_id": "120948"}, {"ref": "johnmin/explore-classify-the-goblin-ghost-ghoul-dataset", "kernel_id": "153083"}, {"ref": "ruxizhang/ghost-prediction", "kernel_id": "116237"}, {"ref": "ruxizhang/visualization-prediction-of-the-ghosts", "kernel_id": "116239"}, {"ref": "juandoso/a-simple-haunted-random-forest", "kernel_id": "111893"}, {"ref": "juandoso/notebook99720a060d", "kernel_id": "111897"}, {"ref": "juandoso/first-random-haunted-forest", "kernel_id": "111866"}, {"ref": "sudalairajkumar/notebook6d0de153b7", "kernel_id": "115226"}, {"ref": "sudalairajkumar/simple-exploration-notebook-1", "kernel_id": "115203"}, {"ref": "sramaj/notebook55d531c132", "kernel_id": "152397"}, {"ref": "shehio/trial", "kernel_id": "113099"}, {"ref": "wizuriel/tensorflow-0-741", "kernel_id": "115770"}, {"ref": "wizuriel/comparison-between-classifiers", "kernel_id": "116149"}, {"ref": "iujevic/notebook7515da57ef", "kernel_id": "124756"}, {"ref": "benjaminchan/notebookc23546c606", "kernel_id": "129729"}, {"ref": "sidgan/a-simple-haunted-random-forest", "kernel_id": "111906"}, {"ref": "lewuathe/keras-model-for-classifying-monster", "kernel_id": "113686"}, {"ref": "wwymak/ghosts-et-al", "kernel_id": "119427"}, {"ref": "david101/boo-keras-xgboost-bagging-starter", "kernel_id": "113703"}, {"ref": "lilyelizabethjohn/standardization-using-standardscaler", "kernel_id": "115448"}, {"ref": "lilyelizabethjohn/why-goblins-classification-is-so-weak", "kernel_id": "114623"}, {"ref": "pallada92/notebook0281d15d8e", "kernel_id": "114806"}, {"ref": "priyaananthram/notebookc9f253f29f", "kernel_id": "120172"}, {"ref": "anishshah/ghosts-goblins-and-ghouls", "kernel_id": "122540"}, {"ref": "alitvin/notebook7b32d3e97a", "kernel_id": "115917"}, {"ref": "alitvin/neural-networks-with-keras", "kernel_id": "115352"}, {"ref": "manurfr/notebook437090c771", "kernel_id": "114398"}, {"ref": "namra42/notebook1fc9bae558", "kernel_id": "121597"}, {"ref": "shan4224/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "124446"}, {"ref": "hangman1993/comparison-between-classifiers", "kernel_id": "124895"}, {"ref": "bisaria/exploring-monster-data", "kernel_id": "122247"}, {"ref": "geekfox/chasing-ghosts-with-keras", "kernel_id": "112141"}, {"ref": "eminik/notebook5230962d29", "kernel_id": "113704"}, {"ref": "arthas/comparison-between-classifiers", "kernel_id": "130170"}, {"ref": "sampathbgsu/notebook31fade6cfb", "kernel_id": "118577"}, {"ref": "nanou021711/comparison-between-classifiers", "kernel_id": "121199"}, {"ref": "cttsai/xgb-voting-weighted-goblins", "kernel_id": "114647"}, {"ref": "halstead/scary-simple-single-multinom-lb-0-737", "kernel_id": "116604"}, {"ref": "justfor/looking-from-tsne-lense", "kernel_id": "120168"}, {"ref": "justfor/eda-and-models", "kernel_id": "117988"}, {"ref": "midhun/notebookb30bd2e464", "kernel_id": "116554"}, {"ref": "midhun/notebook29d822fcb6", "kernel_id": "114052"}, {"ref": "milian/boooom", "kernel_id": "122134"}, {"ref": "eple13/goblin-test", "kernel_id": "161551"}, {"ref": "taotie12010/notebook2e7645381e", "kernel_id": "120053"}, {"ref": "gd10396101/fork-of-first-data-exploration-model-validation", "kernel_id": "122436"}, {"ref": "gd10396101/fork-of-first-data-exploration-34f3d0d2", "kernel_id": "122525"}, {"ref": "gd10396101/fork-of-first-data-exploration", "kernel_id": "122267"}, {"ref": "gd10396101/fork-of-first-data-exploration-225f2efc", "kernel_id": "122286"}, {"ref": "gd10396101/first-data-exploration", "kernel_id": "121157"}, {"ref": "chanchan/fork-of-goblin-monster-hunting", "kernel_id": "120576"}, {"ref": "chanchan/goblin-monster-hunting", "kernel_id": "120519"}, {"ref": "chanchan/monsters-prediction", "kernel_id": "119816"}, {"ref": "enrique1500/hyperparameter-random-search-with-mlr", "kernel_id": "120821"}, {"ref": "feliper2/notebook1f2a354063", "kernel_id": "116728"}, {"ref": "feliper2/kmeans-ghouls-goblins-and-ghosts-boo", "kernel_id": "116721"}, {"ref": "nitinkd/classifying-ghouls-goblins-and-ghosts-using-xgb", "kernel_id": "112881"}, {"ref": "zengxy/notebookdd432a8918", "kernel_id": "135518"}, {"ref": "ranipakeyur/notebook070382a905", "kernel_id": "123671"}, {"ref": "ranipakeyur/notebookb5f0de9509", "kernel_id": "123196"}, {"ref": "ranipakeyur/notebookfb51ea3581", "kernel_id": "123206"}, {"ref": "yoyocm/let-s-explore-and-classify-monsters", "kernel_id": "111991"}, {"ref": "yoyocm/why-goblins-classification-is-so-weak", "kernel_id": "113601"}, {"ref": "anjithgeorge/keras-script", "kernel_id": "124127"}, {"ref": "anjithgeorge/keras-script3", "kernel_id": "125347"}, {"ref": "pmartin/notebook8057da975e", "kernel_id": "147485"}, {"ref": "rafalpronko/notebook5f44ad931d", "kernel_id": "120842"}, {"ref": "uyuutosa/explore-classify-the-goblin-ghost-ghoul-dataset", "kernel_id": "152535"}, {"ref": "djonafegnem/ghouls-goblins-and-ghosts-data-exploration", "kernel_id": "117528"}, {"ref": "casuru/spooky-exploration-and-classification", "kernel_id": "116317"}, {"ref": "casuru/notebookb2578f82eb", "kernel_id": "114162"}, {"ref": "sr71nighthawk/notebook1f7164f1b1", "kernel_id": "112458"}, {"ref": "remilia/notebookf2a0e4f475", "kernel_id": "118640"}, {"ref": "eponymous/blinky-pinky-inky-and-clyde", "kernel_id": "122579"}, {"ref": "longtengteng/wowowow", "kernel_id": "145179"}, {"ref": "jertel/notebook32bd8093c4", "kernel_id": "113321"}, {"ref": "brassmonkey381/xgboost-multi-softmax-starter", "kernel_id": "111865"}, {"ref": "brassmonkey381/short-eda-of-features", "kernel_id": "111880"}, {"ref": "gauravjain/ghost-ipynb", "kernel_id": "113232"}, {"ref": "a7999011/comparison-between-classifiers", "kernel_id": "119177"}, {"ref": "yuvisu/notebookbefb6ce1d7", "kernel_id": "122063"}, {"ref": "tyasnk/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "118571"}, {"ref": "tyasnk/why-goblins-classification-is-so-weak", "kernel_id": "117011"}, {"ref": "robvanputten/eda-and-models-score-0-74291", "kernel_id": "120699"}, {"ref": "jiageng/tensorflow-1vs1", "kernel_id": "116988"}, {"ref": "group16/stacking-xgb-knn-svm-lr", "kernel_id": "115962"}, {"ref": "group16/tensorflow-1vs1", "kernel_id": "117018"}, {"ref": "group16/eda-and-models-score-0-74291-forked", "kernel_id": "116331"}, {"ref": "asogani/first-pass", "kernel_id": "204066"}, {"ref": "asogani/basic-run", "kernel_id": "204044"}, {"ref": "rp7275/test-with-goblins", "kernel_id": "114774"}, {"ref": "rp7275/novice-ghost-attempt", "kernel_id": "115148"}, {"ref": "rp7275/notebook0e7908de61", "kernel_id": "115115"}, {"ref": "ashwinikmr/p-testing-kaggle-first-time-with-ghosts", "kernel_id": "197367"}, {"ref": "danchyy/ghosts-ghouls-goblins-test", "kernel_id": "186359"}, {"ref": "danielhuckins/decision-tree", "kernel_id": "112705"}, {"ref": "stavgrossfeld/halloween-competition", "kernel_id": "112762"}, {"ref": "stavgrossfeld/my-first-nb", "kernel_id": "112796"}, {"ref": "smeesumali/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "116445"}, {"ref": "smeesumali/ghosts-goblins-and-ghouls-oh-my", "kernel_id": "116441"}, {"ref": "zhangjuefei/explore-classify-the-goblin-ghost-ghoul-dataset", "kernel_id": "151553"}, {"ref": "kummar/comparison-between-classifiers", "kernel_id": "166791"}, {"ref": "rossxsy/eda-and-a-logistic-regress-benchmark-lb-0-727", "kernel_id": "113523"}, {"ref": "alexisdrx/catch-em-all", "kernel_id": "118977"}, {"ref": "evgeniymalishev/comparison-between-classifiers", "kernel_id": "119339"}, {"ref": "evgeniymalishev/a-simple-haunted-random-forest", "kernel_id": "113672"}, {"ref": "abdghani/notebook944cfd82ef", "kernel_id": "189049"}, {"ref": "anokas/bazooka-init", "kernel_id": "114951"}, {"ref": "danicodes/notebook2ca57dfa9f", "kernel_id": "125913"}, {"ref": "emem01/notebookcde31a50d7", "kernel_id": "186361"}, {"ref": "emem01/notebookdbb971c53c", "kernel_id": "186436"}, {"ref": "emem01/notebook98d94abc43", "kernel_id": "187003"}, {"ref": "emem01/notebook846943736f", "kernel_id": "187016"}, {"ref": "antonyharnist/notebooke93d38ec19", "kernel_id": "114156"}, {"ref": "felixzhao/notebook6e543aee80", "kernel_id": "116006"}, {"ref": "felixzhao/why-this-classification-is-difficult", "kernel_id": "116007"}, {"ref": "donyoe/ghostbuster-data-exploration", "kernel_id": "112157"}, {"ref": "rymyung/notebook1cafdd4487", "kernel_id": "120412"}, {"ref": "rymyung/notebookb7cc767efa", "kernel_id": "117091"}, {"ref": "rareitmeyer/simple-binomial-example", "kernel_id": "111918"}, {"ref": "rareitmeyer/refining-a-model-by-visualizing-errors", "kernel_id": "117482"}, {"ref": "ketulgupta/mytry2", "kernel_id": "124792"}, {"ref": "ketulgupta/notebookddc93b5ebb", "kernel_id": "124787"}, {"ref": "ketulgupta/notebook1075bd596f", "kernel_id": "116052"}, {"ref": "derek11/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "121047"}, {"ref": "hhllcks/comparison-between-classifiers", "kernel_id": "113810"}, {"ref": "hhllcks/classification-with-xgboost", "kernel_id": "120552"}, {"ref": "hhllcks/neural-net-with-gridsearch", "kernel_id": "119277"}, {"ref": "rajatjn/neural-network-tensorflow", "kernel_id": "122559"}, {"ref": "rajatjn/let-s-explore-and-classify-monsters", "kernel_id": "113560"}, {"ref": "sansinghsanjay/simple-nn", "kernel_id": "136887"}, {"ref": "jihyeseo/eda-ghost-3-class-4-con-1-cat-x", "kernel_id": "957749"}, {"ref": "badoun/notebooke3e57e15a9", "kernel_id": "120737"}, {"ref": "sora4222/haunted-kaggle-eda-graphing-the-data", "kernel_id": "122088"}, {"ref": "sora4222/eda-graphing-of-each-feature", "kernel_id": "122091"}, {"ref": "hahehu/test1", "kernel_id": "120096"}, {"ref": "prabhubct2/tensorflow-0-741", "kernel_id": "116028"}, {"ref": "wangquan/test1", "kernel_id": "120525"}, {"ref": "wangquan/notebook736bf382a9", "kernel_id": "120526"}, {"ref": "wangquan/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "121639"}, {"ref": "wangquan/notebookad61215b3b", "kernel_id": "121614"}, {"ref": "wangquan/comparison-between-classifiers", "kernel_id": "123649"}, {"ref": "wangquan/test-all-train-data", "kernel_id": "124039"}, {"ref": "bluebite/notebook982b0126dc", "kernel_id": "114964"}, {"ref": "awesomegabe/comparison-between-classifiers", "kernel_id": "115635"}, {"ref": "shravandhanuka/classification-decision-tree", "kernel_id": "132003"}, {"ref": "babatee/first-submission-on-kaggle", "kernel_id": "114252"}, {"ref": "miraclesci/tests", "kernel_id": "112658"}, {"ref": "robinfaber/monsters-a-simple-logistic-regression-approach", "kernel_id": "114027"}, {"ref": "gtouzin/notebook46110e525d", "kernel_id": "118009"}, {"ref": "paohui1/eda-and-models-score-0-74291", "kernel_id": "115604"}, {"ref": "duytruong/notebook1056a51e66", "kernel_id": "112329"}, {"ref": "ssk1994/fork-of-ghosts-n-goblins-n-neural-networks", "kernel_id": "122597"}, {"ref": "berkkarahan/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "152439"}, {"ref": "tumm1944/let-s-explore-and-classify-monsters", "kernel_id": "114132"}, {"ref": "mishc9/normal-distribution-ggg", "kernel_id": "112673"}, {"ref": "tangfan/notebook55d8b8f569", "kernel_id": "122347"}, {"ref": "coderanger/ghosts", "kernel_id": "138292"}, {"ref": "alanmbarr/attempt-using-different-classifiers", "kernel_id": "114107"}, {"ref": "ravijp/tensorflow-0-741", "kernel_id": "115996"}, {"ref": "ravijp/ghostbuster-exploration", "kernel_id": "115997"}, {"ref": "xuliang/notebookf68349c668", "kernel_id": "120129"}, {"ref": "xuliang/play-ground", "kernel_id": "120642"}, {"ref": "xuliang/comparison-between-classifiers-dfa2294e", "kernel_id": "122753"}, {"ref": "xuliang/comparison-between-classifiers", "kernel_id": "121517"}, {"ref": "xuliang/notebook2f618d75aa", "kernel_id": "125114"}, {"ref": "dssariya/exploration-classification", "kernel_id": "118346"}, {"ref": "dssariya/ghouls-goblins-and-ghosts", "kernel_id": "118348"}, {"ref": "anki08/classification-of-ghosts-using-svm", "kernel_id": "112615"}, {"ref": "anki08/classifying-ghouls-goblins-and-ghosts-using-svm", "kernel_id": "112616"}, {"ref": "anki08/chasing-ghosts-with-keras", "kernel_id": "112888"}, {"ref": "anki08/trial", "kernel_id": "112889"}, {"ref": "hydnrich/notebook2a97b11110", "kernel_id": "113135"}, {"ref": "enovictor/eda-and-models-score-0-74291-forked", "kernel_id": "119376"}, {"ref": "daavoo/tensorflow-1vs1", "kernel_id": "113395"}, {"ref": "larkin/explore-classify-the-goblin-ghost-ghoul-dataset", "kernel_id": "152391"}, {"ref": "oysteijo/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "113246"}, {"ref": "awi123/a-simple-haunted-random-forest", "kernel_id": "243021"}, {"ref": "kcorpse/notebooka8093fda9a", "kernel_id": "143908"}, {"ref": "kcorpse/beginner-ghouls-ghosts-classifier", "kernel_id": "143758"}, {"ref": "nofreehunch/notebookdcd4cfff4c", "kernel_id": "112562"}, {"ref": "visionarytom/notebookc80c4ca5dd", "kernel_id": "112879"}, {"ref": "xingobar/ghost-data-visualization-with-r", "kernel_id": "115834"}, {"ref": "xingobar/ghost-data-visualization", "kernel_id": "115576"}, {"ref": "vermashresth/ghostssvc", "kernel_id": "241055"}, {"ref": "vermashresth/ghostssvcnew", "kernel_id": "241068"}, {"ref": "vermashresth/ghostsknn", "kernel_id": "241113"}, {"ref": "vermashresth/ghosts", "kernel_id": "240783"}, {"ref": "guidoman/ghosts-and-goblins-competition", "kernel_id": "142219"}, {"ref": "aakash2121995/right-tools-for-ghosts-goblins-and-ghouls", "kernel_id": "116148"}, {"ref": "edopic/notebookf7433c5722", "kernel_id": "113340"}, {"ref": "sona58/ghostbusting-in-r", "kernel_id": "124305"}, {"ref": "bigheiniu/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "118075"}, {"ref": "fzhurd/classify-ghosts-v10h20161130", "kernel_id": "125214"}, {"ref": "fzhurd/classify-ghosts-20161208v11h", "kernel_id": "132689"}, {"ref": "fzhurd/classify-ghosts-v7h20161126", "kernel_id": "123108"}, {"ref": "fzhurd/classify-ghosts-v7h220161126", "kernel_id": "123179"}, {"ref": "fzhurd/classify-ghosts-v8h220161126", "kernel_id": "123205"}, {"ref": "fzhurd/classify-ghosts-v8h20161126", "kernel_id": "123199"}, {"ref": "fzhurd/classify-ghosts-v5h220161125", "kernel_id": "122839"}, {"ref": "fzhurd/classify-ghosts-v5h320161125", "kernel_id": "122841"}, {"ref": "fzhurd/classify-ghosts-v5h", "kernel_id": "122819"}, {"ref": "fzhurd/classify-ghost2-v5h220161125", "kernel_id": "122821"}, {"ref": "fzhurd/classify-ghosts-v2h20161124", "kernel_id": "122426"}, {"ref": "sominwadhwa/notebook6633dcc73e", "kernel_id": "123054"}, {"ref": "sominwadhwa/xgboost-approach", "kernel_id": "123057"}, {"ref": "rafascar/notebook4041e26565", "kernel_id": "115016"}, {"ref": "rafascar/of-monsters-and-men", "kernel_id": "115017"}, {"ref": "charithz997/notebook2c15adfa47", "kernel_id": "115900"}, {"ref": "pramodmna/ghostbuster-data", "kernel_id": "126547"}, {"ref": "pramodmna/comparison-between-classifiers", "kernel_id": "126514"}, {"ref": "vallegro/let-s-explore-and-classify-monsters", "kernel_id": "120375"}, {"ref": "ingrid/tensorflow-1vs1", "kernel_id": "116857"}, {"ref": "indrajati/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "116294"}, {"ref": "indrajati/notebook0c92c9402b", "kernel_id": "115535"}, {"ref": "mlennox562/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "122506"}, {"ref": "chinski99/boo-hoo-2", "kernel_id": "118439"}, {"ref": "vanic2016/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "120777"}, {"ref": "vanic2016/tensorflow-1vs1", "kernel_id": "154946"}, {"ref": "dinhjeffrey/tensorflow-0-741", "kernel_id": "116128"}, {"ref": "quadmx08/monsters-first-submission", "kernel_id": "113503"}, {"ref": "yhyu13/notebook21d32c3eb2", "kernel_id": "120215"}, {"ref": "yhyu13/notebookd377918d28", "kernel_id": "119934"}, {"ref": "yhyu13/eda-and-models-score-0-73724-forked", "kernel_id": "114999"}, {"ref": "yhyu13/tensorflow-hunting-forked", "kernel_id": "115474"}, {"ref": "yhyu13/eda-and-models-score-0-74291-forked", "kernel_id": "115636"}, {"ref": "mxylin/notebookfeef964b6c", "kernel_id": "115491"}, {"ref": "rojre1979/ghosts-goblins-and-ghouls-oh-my", "kernel_id": "122575"}, {"ref": "sonder/ghosts-n-goblins-n-neural-networks", "kernel_id": "121983"}, {"ref": "sonder/ghosts-n-goblins-n-neural-networks-d36c4772", "kernel_id": "121984"}, {"ref": "nightshade7/notebook0e07e2ed3a", "kernel_id": "117224"}, {"ref": "lavande233/blinky-pinky-inky-and-clyde", "kernel_id": "125160"}, {"ref": "lavande233/svm-prediction", "kernel_id": "125241"}, {"ref": "lavande233/tensorflow-1vs1", "kernel_id": "125266"}, {"ref": "lavande233/predict-with-qda-r", "kernel_id": "125148"}, {"ref": "lavande233/blinky-pinky-inky-and-clyde-65116cef", "kernel_id": "125170"}, {"ref": "lavande233/notebook129e3500a6", "kernel_id": "125173"}, {"ref": "lavande233/notebook67a1a98d81", "kernel_id": "125174"}, {"ref": "lavande233/predict-with-svm-and-knn", "kernel_id": "125150"}, {"ref": "lavande233/notebook010a0fa441", "kernel_id": "124919"}, {"ref": "lavande233/notebook1853c22824", "kernel_id": "124920"}, {"ref": "lavande233/notebook7db14ac5b0", "kernel_id": "124921"}, {"ref": "lavande233/notebook74f23de26e", "kernel_id": "124928"}, {"ref": "lavande233/keras-vgg", "kernel_id": "124924"}, {"ref": "lavande233/forest-knn-boosting-svm", "kernel_id": "124939"}, {"ref": "dennisdt/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "124504"}, {"ref": "gauravjoshi1986/ghostbuster-data", "kernel_id": "113972"}, {"ref": "simonlaurin/notebook8c0b580a0a", "kernel_id": "114150"}, {"ref": "nolanlee/notebookc362a34d99", "kernel_id": "125216"}, {"ref": "mikhailyurasov/lstms-in-keras-0-7", "kernel_id": "112694"}, {"ref": "prakashshetty/notebook80bfec568c", "kernel_id": "113649"}, {"ref": "jweber/this-is-a-test", "kernel_id": "121055"}, {"ref": "jweber/notebook7388d9d274", "kernel_id": "114516"}, {"ref": "jweber/notebook01ba88c501", "kernel_id": "112502"}, {"ref": "jja725/comparison-between-classifiers-b18844", "kernel_id": "194773"}, {"ref": "jja725/comparison-between-classifiers", "kernel_id": "194770"}, {"ref": "artgor/eda-and-models-score-0-74291", "kernel_id": "113647"}, {"ref": "opanchenko/notebook4d8f66c257", "kernel_id": "115223"}, {"ref": "jacola/ggg-xgboost-sandbox", "kernel_id": "122770"}, {"ref": "corwinliu9669/eda-and-models-score-0-74291", "kernel_id": "116038"}, {"ref": "willsuen/notebookbcbc09b44a", "kernel_id": "123392"}, {"ref": "ramesharvind/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "188675"}, {"ref": "cukstn/tensorflow-0-741", "kernel_id": "116090"}, {"ref": "pomalley08/tensorflow-0-741", "kernel_id": "115740"}, {"ref": "pwsapwsa/notebookdc46b6c2ff", "kernel_id": "114903"}, {"ref": "midhunn/notebook408befad5d", "kernel_id": "116966"}, {"ref": "knighthawk989/notebooke9a39399b6", "kernel_id": "188962"}, {"ref": "knighthawk989/notebookaa6189193b", "kernel_id": "189030"}, {"ref": "knighthawk989/notebookdc97c8691c", "kernel_id": "198407"}, {"ref": "knighthawk989/notebook9b0c251bd6", "kernel_id": "200440"}, {"ref": "knighthawk989/notebook79204719ee", "kernel_id": "202438"}, {"ref": "mangara/notebook6112c313a2", "kernel_id": "111885"}, {"ref": "garnetreds7/nn-layer-2", "kernel_id": "115617"}, {"ref": "garnetreds7/keras-copy", "kernel_id": "115918"}, {"ref": "mroverlord/notebook36ca49b6b6", "kernel_id": "114074"}, {"ref": "dempton/comparison-between-classifiers", "kernel_id": "118759"}, {"ref": "jendrik/notebook5c371246e2", "kernel_id": "115688"}, {"ref": "kanishkapsingh2/notebook85896f3cb1", "kernel_id": "118077"}, {"ref": "kanishkapsingh2/notebook0d4f624881", "kernel_id": "117878"}, {"ref": "lakeri/tensorflow-1vs1", "kernel_id": "116602"}, {"ref": "greattnk/notebook39fd14b615", "kernel_id": "122831"}, {"ref": "salsamarisha/ghoul-goblin-and-ghost-boo", "kernel_id": "431708"}, {"ref": "joygarfield/notebook6464df10cb", "kernel_id": "114798"}, {"ref": "dalviprasad/notebook13c19cb237", "kernel_id": "118121"}, {"ref": "dalviprasad/notebook6ea36fc8a8", "kernel_id": "114854"}, {"ref": "lubai0512/notebook00bd9608ad", "kernel_id": "130647"}, {"ref": "aceb1shmael/notebookf2b60759c7", "kernel_id": "115105"}, {"ref": "amberthomas/ghosts-goblins-and-ghouls-oh-my", "kernel_id": "115520"}, {"ref": "soft201mssb/notebook44358a3e13", "kernel_id": "116288"}, {"ref": "matthiaskirsch/notebookca2eba7bca", "kernel_id": "113326"}, {"ref": "gflores1023/why-goblins-classification-is-so-weak", "kernel_id": "113824"}, {"ref": "fpolimen/tensorflow-hunting", "kernel_id": "115191"}, {"ref": "freedomabcd/notebook849cb99279", "kernel_id": "121553"}, {"ref": "freedomabcd/notebook78fb4aa5c4", "kernel_id": "121548"}, {"ref": "vagrantlyun/monster", "kernel_id": "123690"}, {"ref": "vagrantlyun/monster11", "kernel_id": "123695"}, {"ref": "vagrantlyun/notebook071a12cd28", "kernel_id": "123685"}, {"ref": "shaka911/notebookd3bcea0c69", "kernel_id": "114764"}, {"ref": "shaka911/notebook40d39196cd", "kernel_id": "123699"}, {"ref": "shaka911/notebook128625db60", "kernel_id": "122858"}, {"ref": "hrsfn9/normal-distribution-ggg", "kernel_id": "118734"}, {"ref": "hrsfn9/ghosts-goblins-and-ghouls-oh-my", "kernel_id": "119200"}, {"ref": "negation/find-the-ghosts-ghouls-and-goblins", "kernel_id": "120251"}, {"ref": "rpadgilw/notebookea5c2d4af7", "kernel_id": "118473"}, {"ref": "balintfodor/notebook862f82326c", "kernel_id": "116738"}, {"ref": "balintfodor/notebookd06c1e9a37", "kernel_id": "121736"}, {"ref": "playfulphilosopher/monsters-monsters-everywhere", "kernel_id": "121114"}, {"ref": "mwhcis/notebook2db850a933", "kernel_id": "132616"}, {"ref": "mwhcis/notebookc77149b57f", "kernel_id": "136614"}, {"ref": "tillnett/exploratory-logistic-regression", "kernel_id": "115954"}, {"ref": "semisupervised/semi-supervised-sklearn", "kernel_id": "116351"}, {"ref": "svg325/first-notebook", "kernel_id": "164980"}, {"ref": "jadsruben/comparison-between-classifiers", "kernel_id": "123358"}, {"ref": "jadsruben/notebooked98c3aada", "kernel_id": "123044"}, {"ref": "jadsruben/notebookacbfa61682", "kernel_id": "123045"}, {"ref": "jadssake/tensorflow-1vs1", "kernel_id": "117293"}, {"ref": "jadssake/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "120277"}, {"ref": "pindapinda/notebook857feb55f8", "kernel_id": "120276"}, {"ref": "pindapinda/notebook5844e82e41", "kernel_id": "117049"}, {"ref": "alecongia/notebooka9fd5258fc", "kernel_id": "125302"}, {"ref": "m09kaa4/ghostbuster-data", "kernel_id": "176826"}, {"ref": "robscovell/ghouls-ghosts-and-gaussians", "kernel_id": "121386"}, {"ref": "robscovell/gggaussian", "kernel_id": "120963"}, {"ref": "happymoon/notebook7d68035b68", "kernel_id": "118188"}, {"ref": "happymoon/happymoon", "kernel_id": "118254"}, {"ref": "lucgudev/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "121166"}, {"ref": "fuglede/normally-distributed-monsters", "kernel_id": "124959"}, {"ref": "ari994/notebook-1", "kernel_id": "119169"}, {"ref": "xuziying0618/notebookfa4cfaf52f", "kernel_id": "158268"}, {"ref": "xuziying0618/notebookcda64524ca", "kernel_id": "158098"}, {"ref": "xuziying0618/tensorflow-1vs1", "kernel_id": "142733"}, {"ref": "xuziying0618/notebook7593b81c2e", "kernel_id": "139068"}, {"ref": "xuziying0618/notebookd5cca0eec4", "kernel_id": "139004"}, {"ref": "xuziying0618/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "138984"}, {"ref": "xuziying0618/notebookd180005dc5", "kernel_id": "138969"}, {"ref": "lf2ccc2/notebook29c10534b5", "kernel_id": "131783"}, {"ref": "meliho/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "162802"}, {"ref": "meliho/comparison-between-classifiers-58c47485", "kernel_id": "163054"}, {"ref": "meliho/comparison-between-classifiers", "kernel_id": "163033"}, {"ref": "baciuciprian/notebookade5e9ff0d", "kernel_id": "140627"}, {"ref": "hsliuustc/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "145626"}, {"ref": "hsliuustc/ghosts", "kernel_id": "145787"}, {"ref": "mandeep94/halloween", "kernel_id": "219858"}, {"ref": "zifannan/notebook07b78d31f6", "kernel_id": "175531"}, {"ref": "sunyuhao222/comparison-between-classifiers", "kernel_id": "172700"}, {"ref": "sunyuhao222/comparison-between-classifiers-2b2051ec", "kernel_id": "172701"}, {"ref": "fastkms/notebook94b5c8fc5b", "kernel_id": "218093"}, {"ref": "fastkms/first", "kernel_id": "218303"}, {"ref": "vamsi023/notebook246633288f", "kernel_id": "234952"}, {"ref": "haritha1313/halloween-nocolor", "kernel_id": "241476"}, {"ref": "haritha1313/halloween-neural", "kernel_id": "241484"}, {"ref": "haritha1313/halloween-neighbors", "kernel_id": "241121"}, {"ref": "haritha1313/halloween", "kernel_id": "240798"}, {"ref": "flpxiao/notebooke210dec30e", "kernel_id": "230197"}, {"ref": "flpxiao/notebook1e04b4ed5f", "kernel_id": "230199"}, {"ref": "hankpeng03/notebook8bcb16b5ff", "kernel_id": "231540"}, {"ref": "mzr2017/comparison-between-classifiers", "kernel_id": "266884"}, {"ref": "samratp/machine-learning-with-ghouls-goblins-and-ghosts", "kernel_id": "552219"}, {"ref": "killichigo/notebook9352e34700", "kernel_id": "254820"}, {"ref": "mboaglio/monsters-basic-eda-exploratory-data-analisys", "kernel_id": "516751"}, {"ref": "mboaglio/nnet-with-100-hidden-neurons", "kernel_id": "514236"}, {"ref": "kewalkishang/ghosts-goblins-and-ghouls-classification", "kernel_id": "548739"}, {"ref": "a1058514/notebookac2236a5ae", "kernel_id": "386750"}, {"ref": "rpkelley/ghouls-goblins-ghosts-in-the-forest", "kernel_id": "406978"}, {"ref": "raphaelfp/ghouls-goblins-and-ghosts", "kernel_id": "412717"}, {"ref": "simulacra/ghouls-and-mlr", "kernel_id": "552955"}, {"ref": "seregaworld/notebook49e6db2102", "kernel_id": "478530"}, {"ref": "shikhar96/death-notebook", "kernel_id": "1718190"}, {"ref": "ritesaluja/halloweenspecial", "kernel_id": "1898082"}, {"ref": "askhanna/ghosts-and-goblins", "kernel_id": "1090663"}, {"ref": "shahules/ghouls-goblins-and-ghosts", "kernel_id": "1560292"}, {"ref": "mfirat/what-kind-of-freak-are-you", "kernel_id": "1063746"}, {"ref": "akshatpathak/multiclass-data-classification", "kernel_id": "1449220"}, {"ref": "zhoulingyan0228/mysterious-creature-viz-and-classification", "kernel_id": "1244072"}, {"ref": "netopedro/nn-approach-to-ghouls-goblins-and-ghosts", "kernel_id": "1440046"}, {"ref": "mofurl/ghouls", "kernel_id": "1654323"}, {"ref": "adrienphx/ghosts-n-goblins-n-neural-networks-lb-0-74858", "kernel_id": "1802806"}, {"ref": "davengo/project-3", "kernel_id": "2209799"}, {"ref": "dipeshpoudel/ghouls-goblins-and-ghosts-in-random-forest", "kernel_id": "2390978"}, {"ref": "iamcylee/kernela678bf8139", "kernel_id": "2690956"}, {"ref": "shivamsarawagi/generategouls", "kernel_id": "3263217"}, {"ref": "harvy8/ghosts-ghouls-or-goblins-using-svm", "kernel_id": "3044585"}, {"ref": "falconi/onevsrest-logisticregression", "kernel_id": "3751839"}, {"ref": "drumstasd/ghouls-goblins-and-ghosts-boo", "kernel_id": "4347168"}, {"ref": "stephen79/ghouls-goblins-and", "kernel_id": "5824543"}, {"ref": "kaledata/ghouls-goblins", "kernel_id": "5097113"}, {"ref": "abhinavcs13/ghosts-problem-using-multilayer-perceptron-keras", "kernel_id": "5457614"}, {"ref": "santoshapr7/how-to-get-a-perfect-score-of-0-000", "kernel_id": "6470356"}, {"ref": "radeweg4264/kernel7b01a61d29", "kernel_id": "7392264"}, {"ref": "justineyu/ghouls", "kernel_id": "7910131"}, {"ref": "iqrar99/ghouls-goblins-and-ghosts-voting-classifier", "kernel_id": "8331453"}, {"ref": "kategera06/random-forest-classifier", "kernel_id": "8625550"}, {"ref": "dhruvgupta2801/neural-networks", "kernel_id": "9822338"}, {"ref": "arifintahu/ghouls-goblins-and-ghosts-classification", "kernel_id": "9410401"}, {"ref": "ashishgeorg009/ghostcatcher", "kernel_id": "9931128"}, {"ref": "junooolee/find-creatures-by-classification-model", "kernel_id": "9985851"}, {"ref": "renjithrrkj/eda-of-ghouls", "kernel_id": "10727103"}, {"ref": "shounakdesai/ghouls-goblin-and-ghosts", "kernel_id": "10331318"}, {"ref": "pranavmittal88/ghosts", "kernel_id": "10739665"}, {"ref": "pravdychvitalii/pvs-ghouls-goblins-and-ghosts", "kernel_id": "10903599"}, {"ref": "teramera/kernel10ca177c23", "kernel_id": "10876867"}, {"ref": "julianbenny/ghouls-goblins-ghosts-keras", "kernel_id": "10860844"}, {"ref": "qroshi/kernel73fa466455", "kernel_id": "10935117"}, {"ref": "tushardobhal273/notebooke79c982e6c", "kernel_id": "11862600"}, {"ref": "mikhailg0/monsters-classification-solution", "kernel_id": "11211787"}, {"ref": "and8080/notebook5b67ff7176", "kernel_id": "11670872"}, {"ref": "sgoyal4be17/deeplearning-assignment-101703530", "kernel_id": "11866085"}, {"ref": "lovishjindal/101703312", "kernel_id": "11883421"}, {"ref": "haggarwal/notebook80317d0e7e", "kernel_id": "11876895"}, {"ref": "sakshichadha29/neural-networks-with-keras", "kernel_id": "11885825"}, {"ref": "karthikbhandary2/ghouls-goblins-or-ghosts", "kernel_id": "12351983"}, {"ref": "hiro1005/ghouls-goblins-and-ghosts-boo", "kernel_id": "12055835"}, {"ref": "ayusheeagarwal/ghost-ghoul-goblin", "kernel_id": "12724835"}, {"ref": "roohisharma/ghouls-goblins-ghosts-ann", "kernel_id": "12090877"}, {"ref": "nicapotato/tabular-nn-goblins-cat-and-num", "kernel_id": "13683125"}, {"ref": "mrtgocer/from-zero-to-hero-lightgbm-classifier", "kernel_id": "13897908"}, {"ref": "dmytrochornyy/looking-for-ghost", "kernel_id": "13863261"}, {"ref": "kanekoakifumi/ghouls-goblins-and-ghosts-boo-aki", "kernel_id": "13070944"}, {"ref": "semenedel/notebook9524f1c5e3", "kernel_id": "13464561"}, {"ref": "andrewhrimov/machine-learning-with-ghouls-goblins-and-ghosts", "kernel_id": "13218975"}, {"ref": "arko007/neural-networks-ghouls-goblins-and-ghosts", "kernel_id": "14775241"}, {"ref": "sanskrutighadipatil/ghouls-goblins-and-ghosts-boo", "kernel_id": "14712294"}, {"ref": "rohitjagirdar/notebook3ea557ba52", "kernel_id": "14518028"}, {"ref": "yaroslavhladkyi/knn-classification-ghouls-goblins-and-ghosts", "kernel_id": "15591006"}, {"ref": "xevator/neural-networks", "kernel_id": "15836464"}, {"ref": "mwilla/ghouls-goblins-and-ghosts-boo", "kernel_id": "15176386"}, {"ref": "subhamsagarpaira/beginners-neural-networks", "kernel_id": "15167492"}, {"ref": "nishita17/g3-notebook", "kernel_id": "15273392"}, {"ref": "dhawalsoni/neural-networks", "kernel_id": "15358793"}, {"ref": "emilyiliu/ghostghouls", "kernel_id": "16201654"}, {"ref": "harshkondkar/1st-notebook-eda-on-ghouls-goblins-and-ghosts", "kernel_id": "16679851"}, {"ref": "sachingupta2212/notebookdcf724b158", "kernel_id": "16508147"}, {"ref": "mohdmaazkhan/keras-ggg", "kernel_id": "16496750"}, {"ref": "anastasiiaselezen/monsters-classification", "kernel_id": "17354110"}, {"ref": "chromerai/ghouls-goblins-neural-net", "kernel_id": "17469478"}, {"ref": "sakshi0100/gggboo", "kernel_id": "17999748"}, {"ref": "aryaadesh/ggg-neuralnetwork", "kernel_id": "17773897"}, {"ref": "diyadodwad/notebookd0228f906e", "kernel_id": "17111199"}, {"ref": "sajjadwasti/notebookb7181cc78a", "kernel_id": "17153611"}, {"ref": "denimthangjam/ghouls-goblins-and-ghosts-boo", "kernel_id": "17772741"}, {"ref": "voluch346/ghouls-goblins-and-ghosts-boo-public", "kernel_id": "18882941"}, {"ref": "anu332/ghouls-goblins-and-ghosts-boo-nn", "kernel_id": "18243947"}, {"ref": "konnyaku1234/notebook67fb202070", "kernel_id": "18348948"}, {"ref": "konnyaku1234/boo-vote", "kernel_id": "18794174"}, {"ref": "konnyaku1234/boo-vote-isorution", "kernel_id": "18860194"}, {"ref": "rajeshwaris/ghouls-goblins-ghosts", "kernel_id": "18806551"}, {"ref": "shayistamulla/ghouls-goblins-and-ghosts-boo", "kernel_id": "18666060"}, {"ref": "prathikshabr/nn-ghoulsgoblins-ghosts-kaggleproject-7", "kernel_id": "18806350"}, {"ref": "tefusha/3g-nn-tefu", "kernel_id": "18501211"}, {"ref": "tefusha/3g-fore-total", "kernel_id": "18501939"}, {"ref": "tefusha/3g-tefu1", "kernel_id": "18468782"}, {"ref": "tefusha/3g-nn-core2", "kernel_id": "18556580"}, {"ref": "tefusha/ggg-part3-tefu", "kernel_id": "18339762"}, {"ref": "tefusha/boo3g", "kernel_id": "18840702"}, {"ref": "itsukitanioka/notebook76dac5c978", "kernel_id": "18837601"}, {"ref": "keerthanamreddy/neural-networks-week-5", "kernel_id": "18719353"}, {"ref": "tejasboss/ghouls-and-goblins", "kernel_id": "19170657"}, {"ref": "mgen2020/ghouls-andglobins", "kernel_id": "19207379"}, {"ref": "pranjal6192/notebook94f36b144a", "kernel_id": "19264053"}, {"ref": "varunsimhareddy/ghouls-goblins-and-ghosts-boo-varun", "kernel_id": "20484450"}, {"ref": "akornienko123/ghouls-goblins-and-ghosts-boo", "kernel_id": "20744297"}, {"ref": "nikhiln2312/ghouls-goblins-and-ghosts-boo", "kernel_id": "20426235"}, {"ref": "svnsdhananjayreddy/ghouls-goblins-and-ghosts-boo", "kernel_id": "22433067"}, {"ref": "nastyastrashnova/notebook749c9635c4", "kernel_id": "23682899"}, {"ref": "thomazquiain/participation-th-o-m", "kernel_id": "23920901"}, {"ref": "julieroussat/notebookjrghost", "kernel_id": "23951119"}, {"ref": "lethaldiran/ggg-notebook", "kernel_id": "25325958"}, {"ref": "lethaldiran/ggg-dnn", "kernel_id": "25431890"}, {"ref": "panagiotisvasdekis/mlteam16-cse-uoi-k-nn", "kernel_id": "26242378"}, {"ref": "panagiotisvasdekis/mlteam16-cse-uoi-neural-network", "kernel_id": "26266885"}, {"ref": "panagiotisvasdekis/mlteam16-cse-uoi-svm", "kernel_id": "26636050"}, {"ref": "panagiotisvasdekis/mlteam16-cse-uoi-na-ve-bayes-classifier", "kernel_id": "26637710"}, {"ref": "mohammedbadway/acc-80-1", "kernel_id": "30347062"}, {"ref": "antoniobrych/most-complete-notebook-svc-nn-randomforest-knn", "kernel_id": "32072602"}, {"ref": "al3xrods/ghouls-goblins-and-ghosts", "kernel_id": "35278320"}, {"ref": "stefaniancu/ghostghoulsrandomforestclassifier", "kernel_id": "35996505"}, {"ref": "stefaniancu/ghostghoulslogisticregression", "kernel_id": "36001495"}, {"ref": "laurelenemarquilly/ghosts-marquilly", "kernel_id": "38569168"}, {"ref": "laylashur/python-haunted-data", "kernel_id": "42089860"}, {"ref": "oleksiilatypov/ghouls-goblins-and-ghosts-boo", "kernel_id": "47982212"}, {"ref": "abdullatifkaban/ghouls-goblins-and-ghosts-boo", "kernel_id": "58354150"}, {"ref": "xushouzheng/data-test", "kernel_id": "59499427"}, {"ref": "cdk123456/notebookfb952299b6", "kernel_id": "59499918"}, {"ref": "rafarodrigues33/ghouls-goblins-and-ghosts-10-mode", "kernel_id": "62363862"}, {"ref": "mykolamazniuk/ghouls-goblins-and-ghosts", "kernel_id": "64261349"}, {"ref": "silvavanessa28/validated-mlwork-randomforest", "kernel_id": "65823493"}, {"ref": "nadiakachurynets/boo-classification", "kernel_id": "66424663"}, {"ref": "mo3azsoliman/ghouls-goblins-and-ghosts", "kernel_id": "67544262"}, {"ref": "senasudemir/ghost-type-prediction", "kernel_id": "76718240"}, {"ref": "ugurcan95/creature-type-prediction", "kernel_id": "80533601"}, {"ref": "bilgingunes/ghouls-goblins-and-ghosts-boo", "kernel_id": "81724106"}, {"ref": "samprad25/ghosts-classifier", "kernel_id": "112994055"}]}
{"competition_id": "5712", "kernels": []}
{"competition_id": "5719", "kernels": []}
{"competition_id": "5735", "kernels": []}
{"competition_id": "5742", "kernels": []}
{"competition_id": "5743", "kernels": []}
{"competition_id": "5777", "kernels": []}
{"competition_id": "5786", "kernels": []}
{"competition_id": "5812", "kernels": []}
{"competition_id": "5826", "kernels": []}
{"competition_id": "5827", "kernels": []}
{"competition_id": "5833", "kernels": []}
{"competition_id": "5846", "kernels": []}
{"competition_id": "5847", "kernels": []}
{"competition_id": "5860", "kernels": []}
{"competition_id": "5862", "kernels": []}
{"competition_id": "5865", "kernels": []}
{"competition_id": "5871", "kernels": []}
{"competition_id": "5874", "kernels": [{"ref": "anandjeyahar/lassoregression-with-y-cut-all-features", "kernel_id": "164418"}, {"ref": "dremovd/synthetic-experiment-of-r-score-behaviour", "kernel_id": "139191"}, {"ref": "dremovd/y-clips", "kernel_id": "138618"}, {"ref": "jeffmoser/kagglegym-api-overview", "kernel_id": "124309"}, {"ref": "jeffmoser/read-hdf-function-for-r", "kernel_id": "126018"}, {"ref": "jeffmoser/notebookcb27654726", "kernel_id": "257093"}, {"ref": "optimism/two-sigma-playground-clarified-and-criticised", "kernel_id": "192539"}, {"ref": "teramonagi/read-h5-function-simple", "kernel_id": "126116"}, {"ref": "teramonagi/feature-importances-by-randomforest", "kernel_id": "128202"}, {"ref": "tks0123456789/xgb-500-600-001", "kernel_id": "198718"}, {"ref": "tks0123456789/outlier-distribution", "kernel_id": "200321"}, {"ref": "tks0123456789/xgb-905-001", "kernel_id": "197069"}, {"ref": "tks0123456789/xgboost-refresh-updater-oob-feature-importance", "kernel_id": "173773"}, {"ref": "leadbest/xgboost-experiment", "kernel_id": "129253"}, {"ref": "leadbest/univariate-model-with-clip", "kernel_id": "129313"}, {"ref": "yagays/python-package-list", "kernel_id": "126191"}, {"ref": "chaseos/understanding-id-and-timestamp", "kernel_id": "126159"}, {"ref": "willieliao/et1-ridge3-med-adj", "kernel_id": "198722"}, {"ref": "willieliao/et1-ridge3-sd-adj", "kernel_id": "198717"}, {"ref": "paolobozzola/two-sigma-v2-pb", "kernel_id": "139335"}, {"ref": "tobikaggle/probability-plots-for-all-variables", "kernel_id": "126104"}, {"ref": "tobikaggle/check-ram-and-cpu-in-r", "kernel_id": "125933"}, {"ref": "tobikaggle/check-ram-and-cpu-in-kaggle-cloud", "kernel_id": "125956"}, {"ref": "tobikaggle/t-distributed-stochastic-neighbor-embedding", "kernel_id": "126218"}, {"ref": "tobikaggle/univariate-model", "kernel_id": "127376"}, {"ref": "tobikaggle/two-sigma-playground", "kernel_id": "192634"}, {"ref": "slothouber/kagglegym-emulation", "kernel_id": "128006"}, {"ref": "slothouber/apitest", "kernel_id": "127725"}, {"ref": "slothouber/model-avg2", "kernel_id": "130687"}, {"ref": "slothouber/symmetry-between-y-and-factor-values-over-time", "kernel_id": "135106"}, {"ref": "webraai/two-sigma-initial-script", "kernel_id": "283547"}, {"ref": "titericz/team-rocket-13", "kernel_id": "200657"}, {"ref": "pranavj/rl-with-laws-of-physics", "kernel_id": "164839"}, {"ref": "sudalairajkumar/am-i-over-fitting", "kernel_id": "146528"}, {"ref": "sudalairajkumar/univariate-analysis-regression-lb-0-006", "kernel_id": "126358"}, {"ref": "sudalairajkumar/simple-exploration-notebook-5", "kernel_id": "125434"}, {"ref": "sudalairajkumar/univariate-model", "kernel_id": "126445"}, {"ref": "carloshenriquebaia/check-ram-cpu", "kernel_id": "125711"}, {"ref": "amazone/gaussian-process-regression-non-linear-kernels", "kernel_id": "169382"}, {"ref": "ysidhu/two-sigma-portfolio-returns-eda", "kernel_id": "127777"}, {"ref": "paulperry/test-kernel", "kernel_id": "198591"}, {"ref": "paulperry/technical-13-does-not-help-predict-y-hat", "kernel_id": "195966"}, {"ref": "paulperry/technical-16-friend-of-time", "kernel_id": "211745"}, {"ref": "akilaw/twosigma-pg-elasticnetcv-and-id-level-avg", "kernel_id": "200929"}, {"ref": "grfiv4/does-a-random-walk-go-up-more-often-than-down", "kernel_id": "182302"}, {"ref": "grfiv4/y-s-have-peculiar-tails", "kernel_id": "176194"}, {"ref": "grfiv4/notebook57bf6ac8e4", "kernel_id": "148932"}, {"ref": "olegmelnikov/issue-fixed", "kernel_id": "167387"}, {"ref": "txtrouble/time-series-analysis-with-python", "kernel_id": "136098"}, {"ref": "ajoo88/mean-baseline", "kernel_id": "146219"}, {"ref": "sujeelee/plots-for-first-few-assets-price", "kernel_id": "170804"}, {"ref": "sshleifer/change-random-state", "kernel_id": "161006"}, {"ref": "devinanzelmo/bug-kagglegym-reset", "kernel_id": "128691"}, {"ref": "devinanzelmo/pandas-rolling-and-a-quick-look-at-missing-values", "kernel_id": "131301"}, {"ref": "devinanzelmo/kagglegym-emulation", "kernel_id": "127894"}, {"ref": "devinanzelmo/kagglegym-emulation-fork", "kernel_id": "128153"}, {"ref": "elguille/regression-on-2nd-diff-on-tech20-sub", "kernel_id": "136070"}, {"ref": "pjbutcher/notebook89371d62f0", "kernel_id": "129980"}, {"ref": "harshdeep/notebook6f6bcbdb83", "kernel_id": "264029"}, {"ref": "miguelpm/a-traders-eda", "kernel_id": "154209"}, {"ref": "ma2tg31/prediction-using-tensorflow", "kernel_id": "160979"}, {"ref": "luckylwk/relative-strenght-index-rsi-analysis", "kernel_id": "145537"}, {"ref": "luckylwk/volatility-analysis", "kernel_id": "144061"}, {"ref": "luckylwk/moving-average-macd-analysis", "kernel_id": "144706"}, {"ref": "danijelk/simple-xgboost-starter", "kernel_id": "138475"}, {"ref": "namesj/arbit20", "kernel_id": "187860"}, {"ref": "machinesearch/test1", "kernel_id": "270680"}, {"ref": "richjohnson/lasso-submission-1", "kernel_id": "127940"}, {"ref": "pinocchio/tensorflow-lr", "kernel_id": "182054"}, {"ref": "cgump3rt/missing-values-continued", "kernel_id": "167673"}, {"ref": "cgump3rt/investigate-missing-values", "kernel_id": "155016"}, {"ref": "kyunghk/initial-script-xgb", "kernel_id": "153145"}, {"ref": "justinnafe/correlate-features-of-each-id-with-y", "kernel_id": "155018"}, {"ref": "richardmore/about-overfitting", "kernel_id": "155503"}, {"ref": "richardmore/a-small-time-series-analysis-for-the-market", "kernel_id": "148828"}, {"ref": "richardmore/model1-5", "kernel_id": "126232"}, {"ref": "carrdelling/python-3-template", "kernel_id": "133724"}, {"ref": "republic966/eda001", "kernel_id": "191495"}, {"ref": "republic966/sample", "kernel_id": "194538"}, {"ref": "republic966/kaggle-gym-api-overview-1", "kernel_id": "197550"}, {"ref": "republic966/univariate-linear-regresssion-with-trained-weights", "kernel_id": "199805"}, {"ref": "republic966/online-learning-027-offline-result", "kernel_id": "199830"}, {"ref": "republic966/eda-982", "kernel_id": "173436"}, {"ref": "chenjx1005/physical-meanings-of-technical-20-30", "kernel_id": "177125"}, {"ref": "nshetty/xgboost-with-hyperopt-and-iterative-boosting", "kernel_id": "180009"}, {"ref": "nshetty/grouping-data-based-on-missing-values", "kernel_id": "177974"}, {"ref": "galeiva2002/firstsub", "kernel_id": "274456"}, {"ref": "galeiva2002/notebook8ce3a2d913", "kernel_id": "274515"}, {"ref": "galeiva2002/notebooke2346e1afc", "kernel_id": "274507"}, {"ref": "threecourse/assertion-script", "kernel_id": "148033"}, {"ref": "ouranos/modelc", "kernel_id": "197450"}, {"ref": "vsmolyakov/time-series-xgboost-lm", "kernel_id": "139314"}, {"ref": "bguberfain/univariate-model-with-clip", "kernel_id": "126558"}, {"ref": "lucidus21/notebook00f1f3e286", "kernel_id": "268255"}, {"ref": "scirpus/wood-for-the-trees", "kernel_id": "145214"}, {"ref": "scirpus/gp-model", "kernel_id": "147321"}, {"ref": "scirpus/gp-model-ii", "kernel_id": "148296"}, {"ref": "scirpus/gp-model-iii", "kernel_id": "148734"}, {"ref": "scirpus/last-public-gp", "kernel_id": "153398"}, {"ref": "antklen/correlations-with-target-for-different-id-s", "kernel_id": "139653"}, {"ref": "nikhilhegde9/run-time-issue", "kernel_id": "172698"}, {"ref": "ggrizzly/linear-bag-1-py", "kernel_id": "200413"}, {"ref": "tezdhar/temporal-behaviours", "kernel_id": "146871"}, {"ref": "stonematz/peeking-into-the-technical-indicators", "kernel_id": "139858"}, {"ref": "mchlkffl/data-exploration-panel-data-perspective", "kernel_id": "155039"}, {"ref": "amhchiu/investigating-timestamp-and-other-variables", "kernel_id": "126009"}, {"ref": "manishranjan0805/xgboost-model", "kernel_id": "176807"}, {"ref": "fbykov/rolling-regression", "kernel_id": "175887"}, {"ref": "chrisw1/do-missing-values-indicate-different-asset-types", "kernel_id": "188328"}, {"ref": "trottefox/two-sigma-playground", "kernel_id": "177392"}, {"ref": "ymcdull/kaggle-gym-api-overview-1", "kernel_id": "125420"}, {"ref": "ymcdull/ridge-lb-0-0100659", "kernel_id": "131267"}, {"ref": "kuttet/poking-around-in-r", "kernel_id": "127080"}, {"ref": "kuttet/exploratory-analysis-some-good-vizualizations", "kernel_id": "127320"}, {"ref": "nitsourish/r-code", "kernel_id": "162528"}, {"ref": "rcasellas/multiple-regression-analysis-test", "kernel_id": "158763"}, {"ref": "rcasellas/descriptive-statistics-and-dealing-with-dirty-data", "kernel_id": "168939"}, {"ref": "abhilashawasthi/initial-script-xgb", "kernel_id": "148723"}, {"ref": "achalshah/linear-regression-lb-0-0091176", "kernel_id": "133800"}, {"ref": "ksayantani/exploration-on-data", "kernel_id": "154854"}, {"ref": "codynash/continuing-investigations-into-y-at-t-1", "kernel_id": "193135"}, {"ref": "alemozz/visualisation-focus-on-timestamps-ids", "kernel_id": "142947"}, {"ref": "coolingozone/first-investigative-notebook", "kernel_id": "161697"}, {"ref": "tentotheminus9/r-eda", "kernel_id": "126772"}, {"ref": "savvok/2spgs3", "kernel_id": "193376"}, {"ref": "kangminyoo/tensorflow-feed-forward-neural-network", "kernel_id": "197012"}, {"ref": "graymalk/opening-file-in-r-short-code", "kernel_id": "127317"}, {"ref": "alabsinatheer/two-sigma-exploration-and-visualization", "kernel_id": "125992"}, {"ref": "happycube/cliptest", "kernel_id": "166481"}, {"ref": "happycube/lightly-annotated-final-submission-13-51", "kernel_id": "200198"}, {"ref": "happycube/two-sigma-03-shorter-version", "kernel_id": "200547"}, {"ref": "happycube/202-with-two-feature-xgb", "kernel_id": "199147"}, {"ref": "mbiardzka/fork-of-notebook891fb75eb1", "kernel_id": "171442"}, {"ref": "joconnor/id-exploration-notebook", "kernel_id": "126519"}, {"ref": "raddar/variables-shifting-distributions-in-time", "kernel_id": "145946"}, {"ref": "yuanwang688/yuan-basic-models", "kernel_id": "167174"}, {"ref": "yuanwang688/yuan-exploratory", "kernel_id": "150837"}, {"ref": "phegde/reinforcement-learning-private-lb-0-0333", "kernel_id": "202904"}, {"ref": "phegde/team-pradeep-arthur-private-lb-10-solution", "kernel_id": "202216"}, {"ref": "dataer/eda-data-frame-hd5-vs-first-half", "kernel_id": "191687"}, {"ref": "dataer/dictbasedassetidtimeseriesgeneration", "kernel_id": "203956"}, {"ref": "dataer/arima-modeling-assetid-based-timeseries", "kernel_id": "203973"}, {"ref": "lightone/testing-pca", "kernel_id": "185684"}, {"ref": "freeman89/id-and-timestamp-structure-eda", "kernel_id": "129609"}, {"ref": "freeman89/feature-reference-eda", "kernel_id": "128717"}, {"ref": "freeman89/validating-kagglegym-emulation", "kernel_id": "133493"}, {"ref": "jriskas/asset-cluster-visualization", "kernel_id": "135491"}, {"ref": "junfeng/xgb-run", "kernel_id": "128467"}, {"ref": "chistyakov/reading-h5-to-data-table-in-r", "kernel_id": "125566"}, {"ref": "kwantdaataa/testscript", "kernel_id": "179967"}, {"ref": "pfichou/notebook2c37c82978", "kernel_id": "171219"}, {"ref": "allunia/feature-dynamics-looking-at-id-groups", "kernel_id": "135738"}, {"ref": "priyaranade/test-again", "kernel_id": "131219"}, {"ref": "priyaranade/correlation-across-means", "kernel_id": "132870"}, {"ref": "priyaranade/differencing-and-stationarity", "kernel_id": "134057"}, {"ref": "priyaranade/differencing-and-stationarity-across-time", "kernel_id": "135417"}, {"ref": "rdslater/10-000-foot-view-of-data", "kernel_id": "151891"}, {"ref": "rdslater/understanding-the-kaggle-gym-and-scoring", "kernel_id": "155905"}, {"ref": "vivekka93/exploration-of-time-stamp", "kernel_id": "142026"}, {"ref": "tgogorza/exploratory-data-analysis", "kernel_id": "125687"}, {"ref": "anokas/xgboost-experiment", "kernel_id": "127047"}, {"ref": "anokas/two-sigma-time-travel-eda", "kernel_id": "125623"}, {"ref": "longint/winter-n120", "kernel_id": "160684"}, {"ref": "mtinti/combined-1", "kernel_id": "135981"}, {"ref": "simonhefl/test-1", "kernel_id": "131101"}, {"ref": "raistorx/xgboost", "kernel_id": "133617"}, {"ref": "vietnguyen91/notebook718e1260e2", "kernel_id": "256659"}, {"ref": "nikepupu/notebookc8cc8ffd7d", "kernel_id": "249013"}, {"ref": "hhllcks/fill-nas-depending-on-id", "kernel_id": "142240"}, {"ref": "mikekutzma/notebookaa24238dad", "kernel_id": "149457"}, {"ref": "perrydgreenwood/initial-script-xgb", "kernel_id": "152431"}, {"ref": "somnisight/univariate-linear-regresssion-with-trained-weights", "kernel_id": "184498"}, {"ref": "sankhamukherjee/when-why-are-stocks-bought-and-sold", "kernel_id": "128985"}, {"ref": "sankhamukherjee/prediction-model-elastic-net", "kernel_id": "130058"}, {"ref": "sankhamukherjee/simple-exploration-of-y-values", "kernel_id": "127457"}, {"ref": "kamilsa/why-i-obtain-an-error", "kernel_id": "162560"}, {"ref": "chbimo/correlation-of-nan-structure-between-id", "kernel_id": "135063"}, {"ref": "gosh76/scriptn41", "kernel_id": "193952"}, {"ref": "poulet/local-kagglegym-fakegym", "kernel_id": "127815"}, {"ref": "poulet/closeup-to-timestamps-features-and-assets", "kernel_id": "127038"}, {"ref": "halboffen/prova3", "kernel_id": "130225"}, {"ref": "halboffen/exploring-instruments", "kernel_id": "127987"}, {"ref": "halboffen/looking-at-trades", "kernel_id": "134423"}, {"ref": "aliajouz/time-travel-feature", "kernel_id": "166975"}, {"ref": "aliajouz/changing-the-active-model-using-reward", "kernel_id": "148915"}, {"ref": "kevinkirchhoff/polynomial-feature-example", "kernel_id": "165338"}, {"ref": "sealuxh/two-sigma", "kernel_id": "280484"}, {"ref": "sealuxh/notebookaad103e4e5", "kernel_id": "280488"}, {"ref": "bencopeland/xgb-lags-v2", "kernel_id": "167446"}, {"ref": "ascending/why-overfitting", "kernel_id": "174755"}, {"ref": "kuzn137/simpleridge", "kernel_id": "164100"}, {"ref": "clientno23/simple-exploration-notebook", "kernel_id": "172244"}, {"ref": "tarobxl/the-power-of-less", "kernel_id": "194953"}, {"ref": "chelimin/twosigma-ch-xgboost", "kernel_id": "195810"}, {"ref": "rbauld/rebuilding-y-t-1", "kernel_id": "192528"}, {"ref": "amanrana20/arana-mlp-regression", "kernel_id": "145746"}, {"ref": "chengde001/data-overview-for-beginer", "kernel_id": "150359"}, {"ref": "pickou/team-rocket-13", "kernel_id": "402588"}, {"ref": "xchiron/using-moving-average-on-individual-id-timestamps", "kernel_id": "147952"}, {"ref": "xingobar/simple-eda", "kernel_id": "126628"}, {"ref": "lzbthb/two-sigma-exploratory", "kernel_id": "137244"}, {"ref": "alijs1/quick-look-at-what-is-important-and-what-is-not", "kernel_id": "132352"}, {"ref": "alijs1/plotting-some-features", "kernel_id": "136140"}, {"ref": "pgorshenin/technical-20-and-technical-30-again", "kernel_id": "212917"}, {"ref": "pgorshenin/technical-16-friend-of-time", "kernel_id": "211355"}, {"ref": "franklinma/warriors-playground-1", "kernel_id": "129803"}, {"ref": "heisengarg/exploratory-data-analysis", "kernel_id": "163011"}, {"ref": "qingnan/public-private-lb-correlation", "kernel_id": "201107"}, {"ref": "plskgl3/emulate-the-enviroment-locally", "kernel_id": "143659"}, {"ref": "keijiyoshida/visualization-of-the-time-series-training-data", "kernel_id": "132592"}, {"ref": "keijiyoshida/check-env", "kernel_id": "129243"}, {"ref": "gouxute1/the-number-of-new-instruments-in-test-data", "kernel_id": "174854"}, {"ref": "binilg/newyeargift", "kernel_id": "148992"}, {"ref": "ysharma1126/simple-exploration-notebook", "kernel_id": "161036"}, {"ref": "ysharma1126/univariate-analysis-regression-lb-0-006", "kernel_id": "161104"}, {"ref": "ysharma1126/cooper", "kernel_id": "148920"}, {"ref": "johnluo721/data-visualisation", "kernel_id": "180002"}, {"ref": "yhyu13/univariate-analysis-regression-forked", "kernel_id": "127198"}, {"ref": "yhyu13/kaggle-gym-api-overview-forked", "kernel_id": "125939"}, {"ref": "byfone/triple", "kernel_id": "144750"}, {"ref": "adolphe/two-sigma", "kernel_id": "190461"}, {"ref": "lillyx/notebook689b2838f6", "kernel_id": "259908"}, {"ref": "kahuna/use-of-correlation-over-short-time-periods", "kernel_id": "200753"}, {"ref": "spikyspider/two-sigma-time-travel-eda", "kernel_id": "126441"}, {"ref": "rasuter/a-basic-approch-to-cluster-securities", "kernel_id": "130389"}, {"ref": "den3b81/simple-autoregressive-pub-score-0-025-submit-fail", "kernel_id": "199259"}, {"ref": "amlacorp/amla-twosigma", "kernel_id": "156109"}, {"ref": "sharjeel53300/impact-of-normalization-rl", "kernel_id": "210733"}, {"ref": "impulsecorp/linear-regression", "kernel_id": "135452"}, {"ref": "tukichen/financial-modeling", "kernel_id": "173414"}, {"ref": "cescfangs/mixed-ridge-etr-xgb-private0-0252120", "kernel_id": "173238"}, {"ref": "paolom67/prova3", "kernel_id": "128464"}, {"ref": "dave4ml/financial-time-series", "kernel_id": "175431"}, {"ref": "fernandocanteruccio/rnn-model-production-and-exploration-notebook", "kernel_id": "187567"}, {"ref": "fernandocanteruccio/xgboost-ensemble-model-exploration", "kernel_id": "186255"}, {"ref": "fernandocanteruccio/xgboost-feature-importance-analysis", "kernel_id": "185334"}, {"ref": "fernandocanteruccio/twosigma-gradient-boosting-ensemble-model", "kernel_id": "197342"}, {"ref": "fernandocanteruccio/twosigma-xgboost-sklearn-pipeline", "kernel_id": "197071"}, {"ref": "andreibalandin/feb-23-comb", "kernel_id": "169940"}, {"ref": "andreibalandin/jan-27-decor", "kernel_id": "170071"}, {"ref": "wenyafan/test2", "kernel_id": "165158"}, {"ref": "wenyafan/two-sigma-linear-function", "kernel_id": "165809"}, {"ref": "vigilanf/heat-maps", "kernel_id": "128160"}, {"ref": "lesibius/financial-instrument-types", "kernel_id": "133687"}, {"ref": "lesibius/clustering-on-missing-values", "kernel_id": "135171"}, {"ref": "keithbaum/notebooka804b58274", "kernel_id": "125670"}, {"ref": "jaychung/exploring-time-series", "kernel_id": "126222"}, {"ref": "degraw/xnnauenc1x", "kernel_id": "141019"}, {"ref": "yyakaule/kaggle", "kernel_id": "168927"}, {"ref": "jasonlei/investigating-data", "kernel_id": "158646"}, {"ref": "mohmmedshoeb/notebook71ba5859e1", "kernel_id": "251374"}, {"ref": "mohmmedshoeb/notebook4b42931667", "kernel_id": "249908"}, {"ref": "mohmmedshoeb/notebook6c08b33a0e", "kernel_id": "252162"}, {"ref": "mohmmedshoeb/relation-bw-id-and-timestamp", "kernel_id": "193755"}, {"ref": "hsliuustc/twosigma-trial", "kernel_id": "146368"}, {"ref": "wangruixin/two-sigma-2017-5-14", "kernel_id": "258704"}, {"ref": "wangruixin/etr-15-maxdepth10-0-034", "kernel_id": "190804"}, {"ref": "wangruixin/randomforestregressor", "kernel_id": "162426"}, {"ref": "tracy717/notebookaab1bc122c", "kernel_id": "251275"}, {"ref": "dysonlin/two-sigma-financial-modeling-challenge", "kernel_id": "171261"}, {"ref": "johnlovelove/financial-time-series-2s", "kernel_id": "177514"}, {"ref": "maheshak04/extract-important-features", "kernel_id": "177808"}, {"ref": "wuhao1542/pytorch-rl-0-frozenlake-q-network-learning", "kernel_id": "388089"}, {"ref": "ganakar/eda-for-sigma-financial-model", "kernel_id": "257426"}, {"ref": "kma053/nu-kenia-mazier-predict2013-mid", "kernel_id": "197824"}, {"ref": "samericksondev/splitting-on-tech-20-30", "kernel_id": "199929"}, {"ref": "ikmalpani/notebook66a68eff9e", "kernel_id": "232589"}, {"ref": "nyaonyao/notebook1d7e4adfe1", "kernel_id": "274193"}, {"ref": "kimmmy/notebook15b44f4b60", "kernel_id": "552447"}, {"ref": "ungvarirobert/physical-meanings-of-tec-20-forkedversion", "kernel_id": "2530758"}, {"ref": "rahulsen0/simple-exploration-notebook", "kernel_id": "9130733"}, {"ref": "amirmohammadparvizi/two-sigma-playground-clarified-and-criticised", "kernel_id": "50511501"}]}
{"competition_id": "5875", "kernels": []}
{"competition_id": "5881", "kernels": []}
{"competition_id": "5882", "kernels": []}
{"competition_id": "5896", "kernels": []}
{"competition_id": "5901", "kernels": []}
{"competition_id": "5903", "kernels": []}
{"competition_id": "5913", "kernels": []}
{"competition_id": "5915", "kernels": []}
{"competition_id": "5916", "kernels": [{"ref": "benhamner/notebook2dcd8d653e", "kernel_id": "192256"}, {"ref": "nellaivijay/object-based-solution-for-dstl", "kernel_id": "178027"}, {"ref": "randomemf/load-a-3-band-tif-image-and-overlay-dirt-tracks", "kernel_id": "151513"}, {"ref": "chinling/notebookdd6d40c0b3", "kernel_id": "139468"}, {"ref": "cmis91/notebook80517b2f1e", "kernel_id": "187402"}, {"ref": "lapolonio/exploration-and-plotting", "kernel_id": "138411"}, {"ref": "pmigdal/notebookf8b7b85d9c", "kernel_id": "245410"}, {"ref": "anishsugathan/exploration-and-plotting", "kernel_id": "140299"}, {"ref": "mardom/exploration-and-plotting", "kernel_id": "138566"}, {"ref": "nigelcarpenter/25-images-with-polygon-overlay", "kernel_id": "152048"}, {"ref": "lopuhin/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "166904"}, {"ref": "laurence/exploration-and-plotting", "kernel_id": "141754"}, {"ref": "wendykan/test-updated-files", "kernel_id": "138574"}, {"ref": "wendykan/notebookfee664300e", "kernel_id": "232587"}, {"ref": "lodderig/notebook9851eff0fc", "kernel_id": "139571"}, {"ref": "hajimex/notebook0a18c4a12d", "kernel_id": "144173"}, {"ref": "erickmuzart/exploration-and-plotting", "kernel_id": "138259"}, {"ref": "smhoughton36/notebook86d1c1090c", "kernel_id": "192747"}, {"ref": "akhillohchab/waterway-0-095-lb", "kernel_id": "196463"}, {"ref": "etiennebr/25-images-and-polygons-side-by-side-eda", "kernel_id": "141152"}, {"ref": "zerozero/notebook2caa96fb35", "kernel_id": "143751"}, {"ref": "zerozero/fork-of-quick-gdal-checker-c4ea0a28", "kernel_id": "143127"}, {"ref": "zerozero/fork-of-quick-gdal-checker", "kernel_id": "142635"}, {"ref": "hrishikeshvganu/notebookfa303e4b21", "kernel_id": "160773"}, {"ref": "drpatrickchan/explore-train-data-in-r", "kernel_id": "179762"}, {"ref": "taylorbrown/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "170222"}, {"ref": "xbk201x/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "190119"}, {"ref": "hurlburt/notebook5ed57864a2", "kernel_id": "171165"}, {"ref": "hurlburt/notebooka4c37a175c", "kernel_id": "170679"}, {"ref": "toni00/exploration-and-plotting", "kernel_id": "152030"}, {"ref": "rdokov/exploration", "kernel_id": "161876"}, {"ref": "clustifier/three-band-n01z3-based-lb-0-07529", "kernel_id": "197529"}, {"ref": "pramukta/exploration-and-plotting", "kernel_id": "139222"}, {"ref": "jmp405/notebookc5b1324d01", "kernel_id": "157747"}, {"ref": "gabrielaltay/exploring-color-scaling-images", "kernel_id": "144381"}, {"ref": "gabrielaltay/polygons-over-images-and-5x5-mosaics", "kernel_id": "140139"}, {"ref": "cslovell/visualize-polygons-and-image-data", "kernel_id": "159039"}, {"ref": "wtellen/exploration-and-plotting", "kernel_id": "153142"}, {"ref": "wtellen/exploration-and-plotting-becfc053", "kernel_id": "153143"}, {"ref": "wtellen/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "182694"}, {"ref": "henryzlo/trees-are-red-buildings-are-blue-sort-of", "kernel_id": "159581"}, {"ref": "henryzlo/25-images-with-polygon-overlay", "kernel_id": "159633"}, {"ref": "aakansh9/notebookf20b81aebc", "kernel_id": "181999"}, {"ref": "santiagomota/kernel-eda-r", "kernel_id": "138683"}, {"ref": "santiagomota/stitch-a-16-channel-image-together", "kernel_id": "139959"}, {"ref": "davidthaler/jaccard-index-of-baseline-on-train-lb", "kernel_id": "161938"}, {"ref": "davidthaler/a-relatively-quick-look-at-the-big-picture", "kernel_id": "162307"}, {"ref": "davidthaler/rastermaster", "kernel_id": "154676"}, {"ref": "yankov/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "171302"}, {"ref": "akilaw/three-band-n01z3-based-lb-0-07529", "kernel_id": "198370"}, {"ref": "aamaia/small-vehicles", "kernel_id": "151145"}, {"ref": "aamaia/rgb-using-m-bands-example", "kernel_id": "153663"}, {"ref": "aamaia/notebook293bb1879b", "kernel_id": "153063"}, {"ref": "aamaia/large-vehicles", "kernel_id": "155892"}, {"ref": "aamaia/trees-are-red-buildings-are-blue-sort-of", "kernel_id": "150901"}, {"ref": "johnstreet/display-a-polygon-class-on-16-band-m", "kernel_id": "180612"}, {"ref": "johnstreet/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "180619"}, {"ref": "cancanrafi/exploration-and-plotting", "kernel_id": "185955"}, {"ref": "karimsaid/eda-the-scouring-of-the-shire", "kernel_id": "144218"}, {"ref": "karimsaid/exploration-and-plotting", "kernel_id": "144423"}, {"ref": "lawoflargenumbers/rgb-using-m-bands-example", "kernel_id": "165689"}, {"ref": "badrul/notebook94d1443284", "kernel_id": "145546"}, {"ref": "udaykrizna/notebooked17efdb62", "kernel_id": "203224"}, {"ref": "greghor/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "167948"}, {"ref": "visoft/correct-image-missalignment", "kernel_id": "148251"}, {"ref": "visoft/correct-image-missalignment-v2", "kernel_id": "149758"}, {"ref": "visoft/notebook6bdf88bb7d", "kernel_id": "144683"}, {"ref": "visoft/export-pixel-wise-mask", "kernel_id": "144684"}, {"ref": "rmurrish/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "167637"}, {"ref": "radarthreat/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "168012"}, {"ref": "ma2tg31/keras-for-remote-sensing", "kernel_id": "170797"}, {"ref": "ma2tg31/notebook73fc273be8", "kernel_id": "170787"}, {"ref": "shasvatj/load-polygons-images-scale-polygons", "kernel_id": "155191"}, {"ref": "maddushankar/notebook6b7f3b6f47", "kernel_id": "158715"}, {"ref": "detroitteatime/exploration-and-plotting", "kernel_id": "147201"}, {"ref": "quantumdamage/quantumdamage-notebook", "kernel_id": "146174"}, {"ref": "sushize/end-to-end-baseline-with-u-net-keras", "kernel_id": "175961"}, {"ref": "sushize/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "176108"}, {"ref": "agniash/notebookdf42b7df96", "kernel_id": "139160"}, {"ref": "toshik/histogram-of-pixel-values", "kernel_id": "182343"}, {"ref": "ryanallen/u-net-notebook", "kernel_id": "180471"}, {"ref": "ryanallen/loading-and-testing-images", "kernel_id": "180172"}, {"ref": "jianminsun/exploration-and-plotting", "kernel_id": "138008"}, {"ref": "jianminsun/small-vehicles", "kernel_id": "152219"}, {"ref": "jianminsun/trees-are-red-buildings-are-blue-sort-of", "kernel_id": "152209"}, {"ref": "jianminsun/notebook20e4867ed0", "kernel_id": "150991"}, {"ref": "jianminsun/notebook03f4e215e7", "kernel_id": "152474"}, {"ref": "jianminsun/notebook52b3e8a8f7", "kernel_id": "153936"}, {"ref": "jianminsun/rgb-using-m-bands-example", "kernel_id": "157950"}, {"ref": "pvsquare/first-kernel-test", "kernel_id": "202388"}, {"ref": "psaadbye/notebookf56cb2fe50", "kernel_id": "181356"}, {"ref": "psaadbye/notebooka6def499d2", "kernel_id": "181354"}, {"ref": "jeffhebert/stitch-a-16-channel-image-together", "kernel_id": "139452"}, {"ref": "jeffhebert/explore-train-data-in-r", "kernel_id": "139378"}, {"ref": "jeffhebert/the-many-faces-of-6120-2-2", "kernel_id": "139994"}, {"ref": "ceperaang/lb-0-42-ultimate-full-solution-run-on-your-hw", "kernel_id": "202376"}, {"ref": "mzacks/testing-keras", "kernel_id": "199262"}, {"ref": "ahmedassal/eda-the-scouring-of-the-shire", "kernel_id": "153031"}, {"ref": "ahmedassal/exploration-and-plotting", "kernel_id": "154050"}, {"ref": "kbhola/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "168752"}, {"ref": "kbhola/notebook47ecd85450", "kernel_id": "166229"}, {"ref": "dalgacik/exploration-and-plotting", "kernel_id": "138793"}, {"ref": "kevinl/load-a-3-band-tif-image-and-overlay-dirt-tracks", "kernel_id": "150410"}, {"ref": "playerpiano/notebook554bf69bbe", "kernel_id": "138922"}, {"ref": "playerpiano/notebook9a97c10b99", "kernel_id": "139523"}, {"ref": "playerpiano/ffsdfgh", "kernel_id": "139526"}, {"ref": "arbitrarydisplayname/load-a-3-band-tif-image-and-overlay-dirt-tracks", "kernel_id": "146323"}, {"ref": "cubbeewan/notebook6fc673a87c", "kernel_id": "202813"}, {"ref": "alexlu/notebookf17b14874c", "kernel_id": "143336"}, {"ref": "opanichev/notebook269c612fff", "kernel_id": "202934"}, {"ref": "sushantmagoo/notebook5e59a8f0d7", "kernel_id": "166521"}, {"ref": "rshirochenko/exploration-and-plotting", "kernel_id": "153483"}, {"ref": "robertjesuraj/sample1", "kernel_id": "150783"}, {"ref": "mknight/imagery-classfication-take1", "kernel_id": "156712"}, {"ref": "jennysy2002/notebook3cc242efd1", "kernel_id": "173796"}, {"ref": "ivanl1/exploration-and-plotting", "kernel_id": "180024"}, {"ref": "ivanl1/object-based-solution-for-dstl", "kernel_id": "179996"}, {"ref": "ivanl1/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "168777"}, {"ref": "tanujjain/polygon-transformation-to-match-image", "kernel_id": "160932"}, {"ref": "gatesm/first-run", "kernel_id": "153878"}, {"ref": "ryutek/waterway-0-095-lb", "kernel_id": "196771"}, {"ref": "vtsing/notebook6d77a13000", "kernel_id": "142959"}, {"ref": "vtsing/notebooka54d3cd86e", "kernel_id": "142948"}, {"ref": "vtsing/notebookc397b13360", "kernel_id": "142949"}, {"ref": "vtsing/notebookb05ec157bf", "kernel_id": "142950"}, {"ref": "vtsing/the-many-faces-of-6120-2-2", "kernel_id": "142889"}, {"ref": "justfor/squeezer", "kernel_id": "182909"}, {"ref": "yayson/polygon-transformation-to-match-image", "kernel_id": "143190"}, {"ref": "nbalawat/notebookb1d3d61731", "kernel_id": "176743"}, {"ref": "bendvd/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "178420"}, {"ref": "saeed3/polygon-transformation-to-match-image", "kernel_id": "140909"}, {"ref": "shawn775/notebook0d6e37f7c6", "kernel_id": "148218"}, {"ref": "shawn775/notebook20b0733a4a", "kernel_id": "139718"}, {"ref": "shawn775/polygon-transformation-to-match-image", "kernel_id": "139793"}, {"ref": "jayahl/notebookbee3640cf1", "kernel_id": "140771"}, {"ref": "chatcat/turn-polygon-layer-into-a-binary-mask-fast", "kernel_id": "145473"}, {"ref": "chatcat/load-a-3-band-tif-image-and-overlay-dirt-tracks", "kernel_id": "145445"}, {"ref": "iglovikov/jaccard-polygons-polygons-mask-polygons", "kernel_id": "161402"}, {"ref": "jashojit/notebook0243d2f757", "kernel_id": "140252"}, {"ref": "sumanth1211/notebookdc0222dd42", "kernel_id": "168642"}, {"ref": "vikramlance/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "191533"}, {"ref": "vikramlance/full-pipeline-demo-poly-pixels-ml-21e011", "kernel_id": "191534"}, {"ref": "ipotap/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "197473"}, {"ref": "alyosama/satellite-imagery-exploring", "kernel_id": "234820"}, {"ref": "mindmi/dtgd354", "kernel_id": "139700"}, {"ref": "opraveen/exploration-and-plotting", "kernel_id": "154982"}, {"ref": "opraveen/rgb-using-m-bands-example", "kernel_id": "164710"}, {"ref": "opraveen/trees-are-red-buildings-are-blue-sort-of", "kernel_id": "164700"}, {"ref": "opraveen/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "185969"}, {"ref": "dkozyr/stitch-a-16-channel-image-together", "kernel_id": "142127"}, {"ref": "dkozyr/export-pixel-wise-categories", "kernel_id": "147497"}, {"ref": "cpruce/full-pipeline-demo-poly-pixels-ml-fd80a4", "kernel_id": "189378"}, {"ref": "cpruce/squeezed-this-in-successful-kernel-run", "kernel_id": "188466"}, {"ref": "cpruce/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "176864"}, {"ref": "yachtsman60/notebook1f193f47f1", "kernel_id": "152087"}, {"ref": "chriscc/object-based-solution-for-dstl", "kernel_id": "177416"}, {"ref": "chriscc/dstl-starter", "kernel_id": "169449"}, {"ref": "chriscc/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "168883"}, {"ref": "cj2001/notebook531d6de062", "kernel_id": "152014"}, {"ref": "buggycode/notebook32175020a2", "kernel_id": "181185"}, {"ref": "buggycode/qwewqe", "kernel_id": "181182"}, {"ref": "dimskraft/rgb-using-m-bands-example", "kernel_id": "168879"}, {"ref": "dimskraft/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "168869"}, {"ref": "mdomar/understanding-data", "kernel_id": "156249"}, {"ref": "gayathrimn/polygon-transformation-to-match-image", "kernel_id": "156048"}, {"ref": "gayathrimn/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "170489"}, {"ref": "portillo/notebook810e616602", "kernel_id": "166146"}, {"ref": "rishiyadav/notebookb670f18c20", "kernel_id": "192100"}, {"ref": "rentzso/notebook63b51b3fe1", "kernel_id": "165777"}, {"ref": "onursigirci/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "187125"}, {"ref": "nitsourish/notebook2a350b9bce", "kernel_id": "190563"}, {"ref": "nitsourish/r-code-1", "kernel_id": "190571"}, {"ref": "nitsourish/notebookc6442eacdc", "kernel_id": "190580"}, {"ref": "hl5240/notebook9d62d50f58", "kernel_id": "202399"}, {"ref": "kishensurajp/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "174733"}, {"ref": "victtor/exploration-and-plotting", "kernel_id": "139884"}, {"ref": "victtor/notebook70a190af74", "kernel_id": "139934"}, {"ref": "lorismichel/exploration-of-nearby-images", "kernel_id": "139627"}, {"ref": "lorismichel/number-of-xmax-and-ymin-variants", "kernel_id": "139605"}, {"ref": "lorismichel/notebookce8d4df517", "kernel_id": "138552"}, {"ref": "lorismichel/notebook3f4a5c756f", "kernel_id": "142468"}, {"ref": "anjithgeorge/exploration-and-plotting", "kernel_id": "138092"}, {"ref": "ranarag/exploration-and-plotting", "kernel_id": "168528"}, {"ref": "ranarag/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "168545"}, {"ref": "ranarag/trees-are-red-buildings-are-blue-sort-of", "kernel_id": "168546"}, {"ref": "ranarag/small-vehicles", "kernel_id": "168547"}, {"ref": "dreamzor/notebookd520f0e328", "kernel_id": "137863"}, {"ref": "kagglepoo/notebook88f0bccfd5", "kernel_id": "138434"}, {"ref": "godaibo/generate-target-masks", "kernel_id": "144746"}, {"ref": "markma/visualize-polygons-and-image-data", "kernel_id": "150572"}, {"ref": "markma/notebook767af564cd", "kernel_id": "150483"}, {"ref": "markma/notebook32d9805320", "kernel_id": "150490"}, {"ref": "markma/export-pixel-wise-mask", "kernel_id": "150524"}, {"ref": "knjkmd/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "172537"}, {"ref": "knjkmd/my-first-notebook-for-dstl-competition", "kernel_id": "178966"}, {"ref": "attila007/eda-the-scouring-of-the-shire", "kernel_id": "178267"}, {"ref": "attila007/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "177409"}, {"ref": "attila007/exploration-and-plotting", "kernel_id": "142822"}, {"ref": "attila007/is-wkt-data-for-class-4-in-6120-2-2-bad", "kernel_id": "142810"}, {"ref": "attila007/the-many-faces-of-6120-2-2", "kernel_id": "142829"}, {"ref": "attila007/polygons-over-images-and-5x5-mosaics-attila", "kernel_id": "142841"}, {"ref": "mouse1231/notebook8ca0f4ce4b", "kernel_id": "277315"}, {"ref": "zcy111222/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "167200"}, {"ref": "zcy111222/fork-of-notebookb0113e538f", "kernel_id": "155251"}, {"ref": "zcy111222/small-vehicles", "kernel_id": "153601"}, {"ref": "zcy111222/notebook813716234e", "kernel_id": "153606"}, {"ref": "zcy111222/notebookb0113e538f", "kernel_id": "153610"}, {"ref": "zcy111222/export-pixel-wise-mask", "kernel_id": "159600"}, {"ref": "alabsinatheer/satellite-xploration", "kernel_id": "137955"}, {"ref": "randel/all-18-stitched-16-band-images", "kernel_id": "140520"}, {"ref": "randel/all-18-stitched-3-band-images", "kernel_id": "140565"}, {"ref": "randel/polygons-over-all-25-images-in-train-set", "kernel_id": "140731"}, {"ref": "randel/images-6110-and-6140-seem-repeated", "kernel_id": "140234"}, {"ref": "randel/25-images-and-polygons-side-by-side-eda", "kernel_id": "140196"}, {"ref": "marcsv87/notebook3e52f98ae0", "kernel_id": "170026"}, {"ref": "qiusuoxiaozi/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "191712"}, {"ref": "yogeshsinghrbt/squeezed-this-in-successful-kernel-run", "kernel_id": "186893"}, {"ref": "yogeshsinghrbt/test1", "kernel_id": "186109"}, {"ref": "yogeshsinghrbt/export-pixel-wise-mask", "kernel_id": "292840"}, {"ref": "yogeshsinghrbt/rgb-using-m-bands-example", "kernel_id": "293069"}, {"ref": "yogeshsinghrbt/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "293078"}, {"ref": "yogeshsinghrbt/polygons-over-images-and-5x5-mosaics", "kernel_id": "299110"}, {"ref": "ashakeel/load-a-3-band-tif-image-and-overlay-dirt-tracks", "kernel_id": "156498"}, {"ref": "ashakeel/trees-are-red-buildings-are-blue-sort-of", "kernel_id": "160659"}, {"ref": "wordsforthewise/exploration-and-plotting", "kernel_id": "152268"}, {"ref": "agavranis/rgb-using-m-bands-example-0bf4b20e", "kernel_id": "179462"}, {"ref": "agavranis/rgb-using-m-bands-example", "kernel_id": "179419"}, {"ref": "robindehde/rgb-using-m-bands-example", "kernel_id": "165564"}, {"ref": "raddar/notebook5a2a5a8c90", "kernel_id": "150647"}, {"ref": "teslah2o/explore-train-data-in-r", "kernel_id": "185414"}, {"ref": "drn01z3/end-to-end-baseline-with-u-net-keras", "kernel_id": "172175"}, {"ref": "mohanpb/notebook9d004364d1", "kernel_id": "139146"}, {"ref": "livenb/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "168972"}, {"ref": "sbeck27/load-polygons-images-scale-polygons", "kernel_id": "142765"}, {"ref": "sbeck27/notebookc3e199ac11", "kernel_id": "143475"}, {"ref": "sbeck27/notebook266a7f1a42", "kernel_id": "152506"}, {"ref": "sbeck27/hdzhx", "kernel_id": "151798"}, {"ref": "resolut/waterway-0-095-lb", "kernel_id": "195967"}, {"ref": "resolut/panchromatic-sharpening", "kernel_id": "183350"}, {"ref": "sbrugman/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "191886"}, {"ref": "vfdev5/data-exploration", "kernel_id": "178530"}, {"ref": "strangelove/untitled", "kernel_id": "184375"}, {"ref": "codereclaimers/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "187413"}, {"ref": "codereclaimers/full-pipeline-demo-poly-pixels-ml-de7943", "kernel_id": "187414"}, {"ref": "alexeylive/notebooka619cade8e", "kernel_id": "203574"}, {"ref": "aschenck/notebookb6fc4bb02d", "kernel_id": "164384"}, {"ref": "aschenck/import-tensorflow-as-t", "kernel_id": "164387"}, {"ref": "ankkatiyar/notebook7fcabd1fb2", "kernel_id": "151629"}, {"ref": "ankkatiyar/script-1", "kernel_id": "151634"}, {"ref": "jriskas/notebook80b48dcd9e", "kernel_id": "147898"}, {"ref": "burdgis/notebook-first-look", "kernel_id": "138286"}, {"ref": "efzfish/notebooked3e6c2ea4", "kernel_id": "184774"}, {"ref": "efzfish/notebook80c9b99c26", "kernel_id": "187693"}, {"ref": "snowwayout/display-all-image-bands", "kernel_id": "145410"}, {"ref": "tuntuku/notebook7a28c3a8c6", "kernel_id": "166912"}, {"ref": "ciciqi/notebook4a77a324e5", "kernel_id": "173053"}, {"ref": "anamaria/notebookc577b41f3e", "kernel_id": "194235"}, {"ref": "exfool/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "171369"}, {"ref": "nikolajovicic/squeezed-this-in-successful-kernel-run", "kernel_id": "186578"}, {"ref": "nikolajovicic/export-pixel-wise-mask", "kernel_id": "189956"}, {"ref": "nikolajovicic/waterway-0-095-lb", "kernel_id": "196971"}, {"ref": "yuanyepku/eda-test", "kernel_id": "167521"}, {"ref": "datahww/exploration-and-plotting", "kernel_id": "150568"}, {"ref": "amanbh/dealing-with-invalid-polygons", "kernel_id": "147722"}, {"ref": "amanbh/checking-for-decartes", "kernel_id": "141948"}, {"ref": "amanbh/is-wkt-data-for-class-4-in-6120-2-2-bad", "kernel_id": "141225"}, {"ref": "amanbh/eda-the-scouring-of-the-shire", "kernel_id": "140386"}, {"ref": "amanbh/checking-for-decartes-package", "kernel_id": "139031"}, {"ref": "amanbh/visualize-polygons-and-image-data", "kernel_id": "139041"}, {"ref": "amanbh/stitch-a-16-channel-image-together", "kernel_id": "140114"}, {"ref": "pankajvshrma/squeezed-this-in-successful-kernel-run", "kernel_id": "196777"}, {"ref": "icewater/notebookf9adc18a41", "kernel_id": "143947"}, {"ref": "pandeyanil/dst-0011", "kernel_id": "186972"}, {"ref": "pandeyanil/dstl-003", "kernel_id": "187523"}, {"ref": "vhffmx/notebook7f1b37d536", "kernel_id": "145922"}, {"ref": "michalmadera/notebookbdfc9685c7", "kernel_id": "175964"}, {"ref": "felipeantunes/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "170963"}, {"ref": "sn2234/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "171089"}, {"ref": "paulsturgess/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "169387"}, {"ref": "akashmaity/notebookc17272da5d", "kernel_id": "163824"}, {"ref": "akashmaity/output", "kernel_id": "155387"}, {"ref": "azurawiz/exploration-and-plotting", "kernel_id": "152137"}, {"ref": "azurawiz/polygon-transformation-to-match-image", "kernel_id": "152142"}, {"ref": "azurawiz/turn-polygon-layer-into-a-binary-mask-fast", "kernel_id": "152295"}, {"ref": "azurawiz/polygon-visualization", "kernel_id": "152299"}, {"ref": "azurawiz/exploration-and-plotting-19b2d825", "kernel_id": "153151"}, {"ref": "azurawiz/new-mask", "kernel_id": "153178"}, {"ref": "azurawiz/output", "kernel_id": "155377"}, {"ref": "azurawiz/export-pixel-wise-mask-for-road", "kernel_id": "158709"}, {"ref": "cogitae/pixel-jaccard-calculation", "kernel_id": "180281"}, {"ref": "chiranjibsur/notebook4cc4a37be1", "kernel_id": "138073"}, {"ref": "mehmetbercan/notebookf80d608360", "kernel_id": "161435"}, {"ref": "mehmetbercan/display-a-polygon-class-on-16-band-m", "kernel_id": "161500"}, {"ref": "mehmetbercan/small-vehicles", "kernel_id": "156174"}, {"ref": "robwishart/notebook1ea72fcb8c", "kernel_id": "152904"}, {"ref": "yohfng/notebookeeb38927b1", "kernel_id": "170954"}, {"ref": "suruisun/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "171449"}, {"ref": "suruisun/small-vehicles", "kernel_id": "165895"}, {"ref": "suruisun/exploration-and-plotting-76d0651d", "kernel_id": "173751"}, {"ref": "suruisun/exploration-and-plotting", "kernel_id": "173745"}, {"ref": "arthemion/explore-train-data-in-r", "kernel_id": "188516"}, {"ref": "arthemion/explore-train-data-in-r-6999cd", "kernel_id": "188517"}, {"ref": "khushhall/wafwqefwe", "kernel_id": "179729"}, {"ref": "khushhall/notebook45d32bfe17", "kernel_id": "179726"}, {"ref": "khushhall/notebookb2b2bdb4aa", "kernel_id": "179742"}, {"ref": "khushhall/end-to-end-baseline-with-u-net-keras", "kernel_id": "181968"}, {"ref": "khushhall/notebookdf70b7d698", "kernel_id": "171134"}, {"ref": "khushhall/notebook1d133cff1a", "kernel_id": "170718"}, {"ref": "khushhall/testing", "kernel_id": "170719"}, {"ref": "khushhall/notebook6280abbd3c", "kernel_id": "170652"}, {"ref": "khushhall/dstl-test", "kernel_id": "200057"}, {"ref": "khushhall/testingdqeq2e", "kernel_id": "200064"}, {"ref": "tgjeon/notebook8933987553", "kernel_id": "149542"}, {"ref": "tgjeon/test-aa", "kernel_id": "196641"}, {"ref": "laurae2/see-all-train-data", "kernel_id": "138278"}, {"ref": "laurae2/exploration-and-plotting", "kernel_id": "138284"}, {"ref": "temporal/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "182139"}, {"ref": "djkalia/panchromatic-sharpening-simple", "kernel_id": "185347"}, {"ref": "djkalia/export-pixel-wise-mask", "kernel_id": "144720"}, {"ref": "djkalia/polygon-transformation-to-match-image", "kernel_id": "143691"}, {"ref": "djkalia/visualize-polygons-and-image-data", "kernel_id": "143677"}, {"ref": "sekrier/lb0-07529", "kernel_id": "198187"}, {"ref": "sekrier/squeezed-this-in-successful-kernel-run", "kernel_id": "196040"}, {"ref": "sekrier/notebook6a32b76b7a", "kernel_id": "203148"}, {"ref": "sekrier/notebook8f2234c50a", "kernel_id": "202950"}, {"ref": "bhupendra36/exploration-and-plotting", "kernel_id": "167298"}, {"ref": "weishenghua/notebook58f83cdff4", "kernel_id": "140133"}, {"ref": "pilsang0512/script2", "kernel_id": "165579"}, {"ref": "jatinjansari/notebookc6f6dca89b", "kernel_id": "167647"}, {"ref": "vpa1977/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "178792"}, {"ref": "anurag10/exploration-and-plotting", "kernel_id": "166980"}, {"ref": "jihyeseo/satellite-image-detect-object", "kernel_id": "958692"}, {"ref": "zlkaggle/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "182182"}, {"ref": "rainbowdog/polygon-transformation-to-match-image", "kernel_id": "166035"}, {"ref": "rainbowdog/load-a-3-band-tif-image-and-overlay-dirt-tracks", "kernel_id": "166027"}, {"ref": "prashantddeeep/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "167553"}, {"ref": "dothtm/notebooke03a533948", "kernel_id": "151062"}, {"ref": "sambit7/notebook492e289eaa", "kernel_id": "194389"}, {"ref": "doublefox/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "171956"}, {"ref": "doublefox/object-based-solution-for-dstl", "kernel_id": "183522"}, {"ref": "doublefox/eda-the-scouring-of-the-shire", "kernel_id": "141410"}, {"ref": "doublefox/stitch-a-16-channel-image-together", "kernel_id": "141412"}, {"ref": "caofanzhi/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "180698"}, {"ref": "bostdiek/display-training-classes-on-images", "kernel_id": "175999"}, {"ref": "bostdiek/notebook8bfb5db958", "kernel_id": "166608"}, {"ref": "kuklaolga/end-to-end-baseline-with-u-net-keras", "kernel_id": "366490"}, {"ref": "ettoreriva/notebook997f663ca6", "kernel_id": "137908"}, {"ref": "swimnology/notebook15fe95c908", "kernel_id": "157887"}, {"ref": "geonanayi/panchromatic-sharpening-simple", "kernel_id": "194995"}, {"ref": "geonanayi/display-a-polygon-class-on-16-band-m", "kernel_id": "194991"}, {"ref": "geonanayi/rgb-using-m-bands-example", "kernel_id": "186794"}, {"ref": "joostgp/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "167429"}, {"ref": "ykravitz/notebook4e8f5deff9", "kernel_id": "138011"}, {"ref": "dulex123/notebook48372141b5", "kernel_id": "187059"}, {"ref": "dulex123/waterway-0-095-lb", "kernel_id": "196880"}, {"ref": "odinzheng/notebook1a085403a1", "kernel_id": "163277"}, {"ref": "slygeorge/1-0-exploration-and-plotting", "kernel_id": "138555"}, {"ref": "torrinos/exploration-and-plotting", "kernel_id": "137961"}, {"ref": "amsantac/rgb-using-m-bands-example", "kernel_id": "162130"}, {"ref": "pineapplebun/notebook14a83b49fe", "kernel_id": "158024"}, {"ref": "ann16253470/load-a-3-band-tif-image-and-overlay-dirt-tracks", "kernel_id": "149641"}, {"ref": "franchig/notebook0a10e2e184", "kernel_id": "156463"}, {"ref": "rgupta88/notebook4110178e93", "kernel_id": "139506"}, {"ref": "rgupta88/exploration-and-plotting", "kernel_id": "139507"}, {"ref": "cheesama/notebook9aab77db5a", "kernel_id": "145095"}, {"ref": "texmexmachine/notebook46300c2699", "kernel_id": "140306"}, {"ref": "texmexmachine/exploration-and-plotting", "kernel_id": "140307"}, {"ref": "texmexmachine/notebook7b809d2c88", "kernel_id": "141063"}, {"ref": "texmexmachine/exploration-and-plotting-b898dce4", "kernel_id": "141064"}, {"ref": "piercingdan/notebookae284fceea", "kernel_id": "190027"}, {"ref": "piercingdan/image-exploration-on-aws", "kernel_id": "190030"}, {"ref": "piercingdan/notebook4d9fcb16fc", "kernel_id": "189419"}, {"ref": "phoebewang/notebooka9a7fab35b", "kernel_id": "186905"}, {"ref": "phoebewang/notebook422916566d", "kernel_id": "186651"}, {"ref": "phoebewang/notebook02941785c4", "kernel_id": "186707"}, {"ref": "phoebewang/notebook9dfdd3181c", "kernel_id": "184811"}, {"ref": "phoebewang/notebook64cd2ace95", "kernel_id": "189338"}, {"ref": "phoebewang/notebook198bf15bc1", "kernel_id": "182916"}, {"ref": "phoebewang/pngconv", "kernel_id": "182920"}, {"ref": "phoebewang/notebook5781ea85bb", "kernel_id": "180717"}, {"ref": "alijs1/try-to-beat-that-benchmark", "kernel_id": "139889"}, {"ref": "alijs1/squeezed-this-in-successful-kernel-run", "kernel_id": "172869"}, {"ref": "svesal/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "173447"}, {"ref": "youngwill/notebook9e11b60b69", "kernel_id": "155140"}, {"ref": "junfenggao/small-vehicles", "kernel_id": "167825"}, {"ref": "junfenggao/pixels-classifications", "kernel_id": "167813"}, {"ref": "kilasue/geoclassifier", "kernel_id": "145673"}, {"ref": "karidj/notebook530bc95c35", "kernel_id": "160379"}, {"ref": "animate/fork-of-notebookae9d008319", "kernel_id": "155459"}, {"ref": "faufau/notebookf862b6c45b", "kernel_id": "145209"}, {"ref": "learnerr/25-images-with-polygon-overlay", "kernel_id": "154044"}, {"ref": "sinhavartika/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "171107"}, {"ref": "horeso/load-a-3-band-tif-image-and-overlay-dirt-tracks", "kernel_id": "152801"}, {"ref": "mntjon/notebook0a3b20e122", "kernel_id": "149446"}, {"ref": "sgcarey/notebooka0cfb4fe61", "kernel_id": "193568"}, {"ref": "pkmital/notebook78f4f2b4c5", "kernel_id": "159724"}, {"ref": "jevifronatalia/notebook983f0fccb6", "kernel_id": "175022"}, {"ref": "meetshah1995/notebook032307f6a9", "kernel_id": "171116"}, {"ref": "supermuis/notebook6275d5a7a5", "kernel_id": "163651"}, {"ref": "gaucho/notebook7e7c7091fc", "kernel_id": "147846"}, {"ref": "gaucho/notebookcf001278aa", "kernel_id": "146035"}, {"ref": "kevinspahr/polygon-transformation-to-match-image", "kernel_id": "140544"}, {"ref": "kevinspahr/export-pixel-wise-mask", "kernel_id": "146198"}, {"ref": "kevinspahr/eda-the-scouring-of-the-shire", "kernel_id": "143763"}, {"ref": "durgapriya/notebook92f50b47b5", "kernel_id": "150662"}, {"ref": "yhyu13/exploration-and-plotting-forked", "kernel_id": "138053"}, {"ref": "yhyu13/exploration-and-plotting-95296d08", "kernel_id": "138055"}, {"ref": "yhyu13/exploration-and-plotting-f1a22fe6", "kernel_id": "138056"}, {"ref": "lintang/view-with-band-combination", "kernel_id": "148326"}, {"ref": "pierretisseur/html5-wkt-to-svg-3", "kernel_id": "177321"}, {"ref": "michaelwest/notebook0ca365cdcd", "kernel_id": "141645"}, {"ref": "lavande233/trees-are-red-buildings-are-blue-sort-of", "kernel_id": "151892"}, {"ref": "leapleap/images-with-full-class-overlays-in-python", "kernel_id": "155697"}, {"ref": "devendart/notebook684944c847", "kernel_id": "156919"}, {"ref": "carolinafanx/notebookf7d79e08b5", "kernel_id": "143795"}, {"ref": "edmundoferreira/notebook39e07f809b", "kernel_id": "155767"}, {"ref": "datobig/exploration-and-plotting", "kernel_id": "138156"}, {"ref": "anshuman264/exploration-and-plotting-909ea073", "kernel_id": "161207"}, {"ref": "anshuman264/exploration-and-plotting", "kernel_id": "161192"}, {"ref": "cmkerr/notebook2d978f46a0", "kernel_id": "167363"}, {"ref": "daleofhill/notebook91384ab3f9", "kernel_id": "152222"}, {"ref": "daleofhill/notebook0485554f4d", "kernel_id": "152992"}, {"ref": "ibirtic/notebook750a04b4e8", "kernel_id": "147395"}, {"ref": "gshevchuk/exploration-and-plotting", "kernel_id": "159656"}, {"ref": "gshevchuk/testing-for-first-time", "kernel_id": "159018"}, {"ref": "akihiro35/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "170393"}, {"ref": "geodesigntech/notebookbe18f7ade4", "kernel_id": "138155"}, {"ref": "lpachuong/panchromatic-sharpening", "kernel_id": "199281"}, {"ref": "waykole/object-based-solution-for-dstl", "kernel_id": "185199"}, {"ref": "waykole/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "185185"}, {"ref": "kweber6/remote-sensing-feature-id", "kernel_id": "152847"}, {"ref": "connorvhennen/trees-are-red-buildings-are-blue-sort-of", "kernel_id": "173325"}, {"ref": "connorvhennen/notebook7bebb7cf98", "kernel_id": "173326"}, {"ref": "quark6/dstl-satellite-imagery", "kernel_id": "148983"}, {"ref": "lynnhuang/notebook4304b2f0c7", "kernel_id": "166115"}, {"ref": "aglotero/notebook72e600ec4e", "kernel_id": "137808"}, {"ref": "yangchun00/notebookb1455035b9", "kernel_id": "236165"}, {"ref": "sudoprime/notebook9d5e6cc934", "kernel_id": "137797"}, {"ref": "pgodard/notebooka987e0f030", "kernel_id": "186271"}, {"ref": "auygur/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "182556"}, {"ref": "minus100/load-a-3-band-tif-image-and-overlay-dirt-tracks", "kernel_id": "176179"}, {"ref": "minus100/notebook32edbff368", "kernel_id": "183588"}, {"ref": "minus100/notebook0b4235acb0", "kernel_id": "183078"}, {"ref": "minus100/notebookd04e5edf51", "kernel_id": "203971"}, {"ref": "kennga/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "168499"}, {"ref": "redwane/notebook1cb48a724a", "kernel_id": "151961"}, {"ref": "redwane/transformation-et-ploting-polygons", "kernel_id": "151964"}, {"ref": "rodrigokryb/notebook1d2f97d77c", "kernel_id": "151213"}, {"ref": "rodrigokryb/notebook32ffcd623c", "kernel_id": "151220"}, {"ref": "chemamengibar/exploration-and-plotting", "kernel_id": "138112"}, {"ref": "z0mbie/notebook3f97349dbb", "kernel_id": "137858"}, {"ref": "koki1219/display-a-polygon-class-on-16-band-m", "kernel_id": "171511"}, {"ref": "danielll/notebook2a95b061fe", "kernel_id": "162612"}, {"ref": "soydasm/hello", "kernel_id": "137831"}, {"ref": "soydasm/notebookeb437d45ed", "kernel_id": "137832"}, {"ref": "fragglerox/notebook2df33d0a74", "kernel_id": "142252"}, {"ref": "fragglerox/large-vehicles", "kernel_id": "162836"}, {"ref": "raavianvesh/notebookf4dd3b7e0a", "kernel_id": "138060"}, {"ref": "geoaigo/notebook82989f529f", "kernel_id": "144977"}, {"ref": "nmcintyre/notebook3eef64cda8", "kernel_id": "138461"}, {"ref": "mercuryboard/notebook5ec9ef8950", "kernel_id": "138538"}, {"ref": "mercuryboard/notebook5907399228", "kernel_id": "138540"}, {"ref": "fppkaggle/correct-image-missalignment-v2-fork", "kernel_id": "149807"}, {"ref": "fppkaggle/is-6140-2-3-p-broken", "kernel_id": "168872"}, {"ref": "peseus/notebook5634561a0c", "kernel_id": "165421"}, {"ref": "jameskoo/notebook54b71b8f8b", "kernel_id": "141085"}, {"ref": "jameskoo/notebook08e42555fd", "kernel_id": "149672"}, {"ref": "jameskoo/notebook0725e5d6a0", "kernel_id": "193814"}, {"ref": "puzzle55/all-18-stitched-16-band-images", "kernel_id": "145516"}, {"ref": "pillh3ad/notebook1ffe3f3512", "kernel_id": "142044"}, {"ref": "cgl2016/notebook71cdaa591c", "kernel_id": "144010"}, {"ref": "dicksven7/polygons-over-images-and-5x5-mosaics", "kernel_id": "143009"}, {"ref": "naagaharikrishna/example", "kernel_id": "156350"}, {"ref": "naagaharikrishna/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "166950"}, {"ref": "naagaharikrishna/end-to-end-baseline-with-u-net-keras", "kernel_id": "183570"}, {"ref": "guangliang2016/notebook2289599873", "kernel_id": "153520"}, {"ref": "eutectic/notebook420786cb0f", "kernel_id": "155585"}, {"ref": "alanxu89/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "176072"}, {"ref": "abanitalebi/notebookccc52ba58a", "kernel_id": "147794"}, {"ref": "chintansheth/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "173298"}, {"ref": "ilsetse/notebook8049aabb2a", "kernel_id": "155101"}, {"ref": "ringothom/notebook9cbeb0814c", "kernel_id": "150623"}, {"ref": "juchika/housing-price-index", "kernel_id": "193765"}, {"ref": "antopor/notebook86ee319154", "kernel_id": "153566"}, {"ref": "dburridge/notebook56a646c1d8", "kernel_id": "153360"}, {"ref": "yasminehachi/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "175065"}, {"ref": "leocvpr/exploration-and-plotting", "kernel_id": "166344"}, {"ref": "leocvpr/exploration-and-plotting-7325fa19", "kernel_id": "166345"}, {"ref": "karltk/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "191147"}, {"ref": "sarahah/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "172117"}, {"ref": "charlescare/panchromatic-sharpening-simple", "kernel_id": "184323"}, {"ref": "lida233/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "174870"}, {"ref": "ropoctl/notebookcfc7b297c9", "kernel_id": "174024"}, {"ref": "ropoctl/notebook6766558307", "kernel_id": "168529"}, {"ref": "ropoctl/notebook205b257ef8", "kernel_id": "169025"}, {"ref": "hoangle96/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "172284"}, {"ref": "hoangle96/notebook74865b8198", "kernel_id": "171307"}, {"ref": "hoangle96/rgb-using-m-bands-example", "kernel_id": "176248"}, {"ref": "hoangle96/visualize-polygons-and-image-data", "kernel_id": "175965"}, {"ref": "uberjd/detection", "kernel_id": "169994"}, {"ref": "aaronquek/25-images-with-polygon-overlay", "kernel_id": "174820"}, {"ref": "antiares/notebooke10ad0c657", "kernel_id": "200717"}, {"ref": "ciaranevans/polygon-transformation-to-match-image", "kernel_id": "180104"}, {"ref": "davidbernat/initial-kernel", "kernel_id": "203773"}, {"ref": "martinburian/first-test", "kernel_id": "180888"}, {"ref": "marcus99/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "182285"}, {"ref": "zyuke19/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "195368"}, {"ref": "zyuke19/notebook651f9dcf95", "kernel_id": "203436"}, {"ref": "zyuke19/object-based-solution-for-dstl", "kernel_id": "192710"}, {"ref": "tankinhbui/test-01", "kernel_id": "209480"}, {"ref": "hungphan/test-01", "kernel_id": "207935"}, {"ref": "shu2cheng/notebook42ce9a6358", "kernel_id": "256679"}, {"ref": "jackykwan/notebookf37b656320", "kernel_id": "251849"}, {"ref": "asimov79/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "277460"}, {"ref": "jay960702/waterway-0-095-lb", "kernel_id": "215514"}, {"ref": "mehpira/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "280063"}, {"ref": "zbtdrs/notebook9c1fb63374", "kernel_id": "222404"}, {"ref": "lvjj19921026/testtest", "kernel_id": "225856"}, {"ref": "chenqiankm/notebook9c2aeecce0", "kernel_id": "368779"}, {"ref": "cuilady/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "275578"}, {"ref": "raveenareddy/small-vehicles", "kernel_id": "256031"}, {"ref": "amazinghorse/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "262732"}, {"ref": "hongsh/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "261772"}, {"ref": "neuropsyched/full-pipeline-demo-poly-pixels-ml-poly", "kernel_id": "273787"}, {"ref": "dizhang/dstl-plot-whole-channel-in-python", "kernel_id": "596158"}, {"ref": "dizhang/dstl-satellite-imagery-sum-existing-kernels", "kernel_id": "596202"}, {"ref": "paultimothymooney/identifying-ships-in-satellite-images", "kernel_id": "506848"}, {"ref": "mosses/fork-of-lb-0-42-ultimate-full-solution-run-on-yo", "kernel_id": "1659855"}, {"ref": "akhileshk/exploration-and-plotting-a67dc2", "kernel_id": "2592503"}, {"ref": "jubergandharv/u-net-8-band-0-77jk-on-cv", "kernel_id": "6190183"}, {"ref": "hmassa/working-with-this-dataset", "kernel_id": "8637163"}, {"ref": "barankarakus/baran", "kernel_id": "9551512"}, {"ref": "hublebustler/building-cnn", "kernel_id": "12692460"}, {"ref": "anomsulardi/dstl-semantic-segmentation", "kernel_id": "14442186"}, {"ref": "gracelynmystica/unet-arch", "kernel_id": "15191809"}, {"ref": "ksishawon/segnet-dstl", "kernel_id": "16118142"}, {"ref": "feryalalmutairi/turn-polygon-layer-into-a-binary-mask-fast", "kernel_id": "18140755"}, {"ref": "kendatsuba/dstl-nb", "kernel_id": "20675304"}, {"ref": "sebasmos777/trdp-dstl-building-detection-missing-tracking-term", "kernel_id": "20927354"}, {"ref": "varunposimsetty/segnet-dstl-unet-approch", "kernel_id": "27557141"}, {"ref": "varunposimsetty/segemetation-code", "kernel_id": "27863989"}, {"ref": "sakshinitinpatil/notebook", "kernel_id": "32871188"}, {"ref": "sreehar/vegetation-segmentation", "kernel_id": "35638065"}, {"ref": "amoghbabukalapati/satellite-image-object-detection", "kernel_id": "37333292"}, {"ref": "m1307lovesk2004/vegetation-segmentation-using-unet", "kernel_id": "37493182"}, {"ref": "vishesh20/segnet-dstl", "kernel_id": "38300804"}, {"ref": "takakookuda/see-wkt-polygon-data-in-png", "kernel_id": "59915172"}, {"ref": "dinhdat1110/sattelite-image", "kernel_id": "64875858"}, {"ref": "iinmv0527/dstl-satellite-imagery-feature-detection", "kernel_id": "117650847"}]}
{"competition_id": "5923", "kernels": []}
{"competition_id": "5926", "kernels": []}
{"competition_id": "5933", "kernels": []}
{"competition_id": "5942", "kernels": []}
{"competition_id": "5977", "kernels": [{"ref": "dremovd/can-we-improve-by-increasing-variance", "kernel_id": "149752"}, {"ref": "wcukierski/notebook7de1c6396b", "kernel_id": "141463"}, {"ref": "wcukierski/plotting-example-gift-weights", "kernel_id": "141466"}, {"ref": "ccccat/r-version-of-santa-03", "kernel_id": "142304"}, {"ref": "blindape/python-greedy-search223", "kernel_id": "148561"}, {"ref": "glazed/notebook6f85a58c06", "kernel_id": "168076"}, {"ref": "glazed/a-gambit-most-seedy", "kernel_id": "168114"}, {"ref": "breakfastpirate/greedy-search", "kernel_id": "142970"}, {"ref": "breakfastpirate/grinch-greedy-search", "kernel_id": "144050"}, {"ref": "jeffstahler/can-we-improve-by-increasing-variance", "kernel_id": "156027"}, {"ref": "jeffstahler/santa-quick-look", "kernel_id": "141802"}, {"ref": "nigelcarpenter/notebookc8f33bd7b7", "kernel_id": "155818"}, {"ref": "nigelcarpenter/plotting-example-gift-weights", "kernel_id": "155841"}, {"ref": "nigelcarpenter/can-we-improve-by-increasing-variance", "kernel_id": "149494"}, {"ref": "mathurinache/ma20161222a", "kernel_id": "142861"}, {"ref": "n3n77i/simples-fork-lb-34k", "kernel_id": "147939"}, {"ref": "n3n77i/simples", "kernel_id": "145985"}, {"ref": "n3n77i/julia-starter", "kernel_id": "144543"}, {"ref": "jeongyoonlee/gift-count-weight-visualizations", "kernel_id": "143592"}, {"ref": "soates/notebookea2b3bd2c9", "kernel_id": "141706"}, {"ref": "jofaichow/notebook8e98e0f75a", "kernel_id": "172266"}, {"ref": "slothouber/can-we-improve-by-increasing-variance", "kernel_id": "149724"}, {"ref": "simecek/notebook1deaa32e2c", "kernel_id": "141804"}, {"ref": "simecek/notebooke3a00602b9", "kernel_id": "141812"}, {"ref": "simecek/santa-s-distributions-in-r", "kernel_id": "141821"}, {"ref": "simecek/notebookd87cec746b", "kernel_id": "150997"}, {"ref": "simecek/maximal-number-of-gifts-to-consider", "kernel_id": "151001"}, {"ref": "simecek/linear-programming-with-linprog", "kernel_id": "151077"}, {"ref": "titericz/giba1-2", "kernel_id": "142526"}, {"ref": "titericz/greedy-search", "kernel_id": "144134"}, {"ref": "titericz/giba-naive-1", "kernel_id": "143564"}, {"ref": "titericz/giba-naive1", "kernel_id": "143625"}, {"ref": "vykhand/my-late-eda-distributions-and-boxplots", "kernel_id": "167240"}, {"ref": "vykhand/a-gambit-most-seedy", "kernel_id": "171047"}, {"ref": "mikeskim/linear-regression-lol", "kernel_id": "142780"}, {"ref": "sudalairajkumar/santa-btb-with-validation", "kernel_id": "141730"}, {"ref": "cpmpml/fast-computation-of-expected-value-for-bags", "kernel_id": "148727"}, {"ref": "cpmpml/optimal-expected-submission-value", "kernel_id": "151930"}, {"ref": "gingerman/python-greedy-search", "kernel_id": "145512"}, {"ref": "pietromarinelli/can-we-improve-by-increasing-variance", "kernel_id": "168035"}, {"ref": "dgreaves/fast-computation-of-expected-value-for-bags", "kernel_id": "148978"}, {"ref": "orochiff2/fork-of-stuff", "kernel_id": "150884"}, {"ref": "orochiff2/stuff", "kernel_id": "147716"}, {"ref": "akilaw/python-greedy-search", "kernel_id": "144917"}, {"ref": "archananan/read-data-and-analyze-weights", "kernel_id": "153658"}, {"ref": "karthikpalaniappan/notebook68f3b48d39", "kernel_id": "157791"}, {"ref": "karthikpalaniappan/packingbyeyeballing", "kernel_id": "150717"}, {"ref": "ben519/merry-christmas-y-all", "kernel_id": "143806"}, {"ref": "jonmanly/first-fit-algorithm-two-pass-lb-31907-53", "kernel_id": "142266"}, {"ref": "gooron/fast-computation-of-expected-value-for-bags", "kernel_id": "148864"}, {"ref": "dataskeptic/can-we-improve-by-increasing-variance", "kernel_id": "154838"}, {"ref": "dataskeptic/can-we-improve-by-increasing-variance-b75f124d", "kernel_id": "154848"}, {"ref": "dataskeptic/can-we-improve-by-increasing-variance-5fead118", "kernel_id": "154851"}, {"ref": "taffeylewis/distributions-in-r", "kernel_id": "141868"}, {"ref": "piero111/can-we-improve-by-increasing-variance", "kernel_id": "161460"}, {"ref": "piero111/optimal-expected-submission-value", "kernel_id": "168079"}, {"ref": "yangcao/notebookd21aafec84", "kernel_id": "144236"}, {"ref": "lfiaschi/notebookc1ccbc9036", "kernel_id": "143215"}, {"ref": "howlingguineapig/genetic-algorithm-packing-rules-generator", "kernel_id": "146907"}, {"ref": "sebm70/notebook6caa0b2fcc", "kernel_id": "153540"}, {"ref": "pgeiger/estimating-the-winning-score", "kernel_id": "149510"}, {"ref": "breuker/can-we-improve-by-increasing-variance", "kernel_id": "149246"}, {"ref": "nagadomi/shuffle-submission-csv", "kernel_id": "142761"}, {"ref": "nilotpal/can-we-improve-by-increasing-variance", "kernel_id": "168518"}, {"ref": "nilotpal/can-we-improve-by-increasing-variance-a5a8bff2", "kernel_id": "168521"}, {"ref": "nilotpal/can-we-improve-by-increasing-variance-55a4e34a", "kernel_id": "168527"}, {"ref": "toshik/leaderboard-changes", "kernel_id": "168653"}, {"ref": "leeweeteck/mathematical-formulation-of-santa-s-problem", "kernel_id": "146608"}, {"ref": "aikinogard/play-with-r", "kernel_id": "143887"}, {"ref": "aikinogard/filling-bags-with-simulated-annealing", "kernel_id": "143835"}, {"ref": "aikinogard/gift-number", "kernel_id": "142774"}, {"ref": "tarunaryyan/working-out-a-crude-solution", "kernel_id": "165453"}, {"ref": "zriddle/can-we-improve-by-increasing-variance-e4f87a0e", "kernel_id": "149699"}, {"ref": "zriddle/can-we-improve-by-increasing-variance", "kernel_id": "149485"}, {"ref": "harshkkumar/notebookb95e1f0a56", "kernel_id": "144403"}, {"ref": "harshkkumar/notebook7906cdee1d", "kernel_id": "144404"}, {"ref": "harshkkumar/naive-greedy-approach", "kernel_id": "144406"}, {"ref": "harshkkumar/naive-greedy-algorithm", "kernel_id": "144410"}, {"ref": "palashgoyal1/notebook31450ecf57", "kernel_id": "153107"}, {"ref": "palashgoyal1/notebook4c6e5e975a", "kernel_id": "152342"}, {"ref": "zheng11/can-we-improve-by-increasing-variance", "kernel_id": "159725"}, {"ref": "jamesdlawrence/estimate-effectiveness-of-a-bag-of-gifts", "kernel_id": "142843"}, {"ref": "abhijitk/python-greedy-search", "kernel_id": "166471"}, {"ref": "opanichev/data-exploration-and-checking-the-combinations", "kernel_id": "142983"}, {"ref": "guilhermesantos/simple-greedy-btb", "kernel_id": "142909"}, {"ref": "dcarmody/prescribed-bag-filling", "kernel_id": "150305"}, {"ref": "hunterfrank/notebookea906191a4", "kernel_id": "142159"}, {"ref": "hunterfrank/notebookbf5d763ecd", "kernel_id": "142155"}, {"ref": "octavianh/get-random-samples", "kernel_id": "166241"}, {"ref": "octavianh/can-we-improve-by-increasing-variance", "kernel_id": "166245"}, {"ref": "pushkardakle/can-we-improve-by-increasing-variance-8caa34df", "kernel_id": "161611"}, {"ref": "anazalea/notebookc88c28c2f9", "kernel_id": "159428"}, {"ref": "ariesyi/notebooke68c9de738", "kernel_id": "167544"}, {"ref": "ariesyi/can-we-improve-by-increasing-variance", "kernel_id": "178191"}, {"ref": "shogosuzuki/notebook54063084d3", "kernel_id": "151836"}, {"ref": "stocks/merry-christmas-y-all", "kernel_id": "145461"}, {"ref": "tezdhar/notebook7306f8316c", "kernel_id": "156203"}, {"ref": "carloshuertas/optimal-submission-calculator", "kernel_id": "144239"}, {"ref": "kenkoooo/can-we-improve-by-increasing-variance", "kernel_id": "151489"}, {"ref": "mchirico/santa-quick-look", "kernel_id": "141541"}, {"ref": "mchirico/santa-my-submit", "kernel_id": "142436"}, {"ref": "mchirico/santa-01", "kernel_id": "141817"}, {"ref": "mchirico/santa-03", "kernel_id": "141833"}, {"ref": "brendazhang/notebook1a5faa7c2c", "kernel_id": "167455"}, {"ref": "midhun/notebookeda9bf24df", "kernel_id": "144187"}, {"ref": "zhugds/test-notebook", "kernel_id": "149367"}, {"ref": "harshratde/notebook369f1ec510", "kernel_id": "159934"}, {"ref": "lamdang/notebook9113a5572f", "kernel_id": "143124"}, {"ref": "lamdang/notebooke6edd3af25", "kernel_id": "143094"}, {"ref": "trcook/start", "kernel_id": "142186"}, {"ref": "trcook/notebook31a71101cb", "kernel_id": "142191"}, {"ref": "tuomastik/gift-count-weight-visualizations", "kernel_id": "143080"}, {"ref": "hxd1011/notebooka55a341812", "kernel_id": "152815"}, {"ref": "hxd1011/extract-gift-type-combination-from-a-solution", "kernel_id": "149586"}, {"ref": "onodera/notebook0b1c5655a5", "kernel_id": "156480"}, {"ref": "mmmm123/can-we-improve-by-increasing-variance", "kernel_id": "151218"}, {"ref": "mmotoki/candidate-bag-visualizations", "kernel_id": "161488"}, {"ref": "mmotoki/fast-expected-value-r-version", "kernel_id": "160696"}, {"ref": "mmotoki/from-little-bags-of-joy-to-big-bags-of-toys", "kernel_id": "158094"}, {"ref": "ameshkov/r-linear-progr-improved-to-35500-35990", "kernel_id": "154250"}, {"ref": "faraday1221/notebook5c2c6a1521", "kernel_id": "148636"}, {"ref": "lkavanagh/filling-bags-with-simulated-annealing-forked", "kernel_id": "145377"}, {"ref": "lorismichel/papa-noel", "kernel_id": "142404"}, {"ref": "linzhu/notebook3634398737", "kernel_id": "154312"}, {"ref": "siyaozheng/notebook4502f7ea08", "kernel_id": "142193"}, {"ref": "spiracular/optimal-expected-submission-value-copy", "kernel_id": "166625"}, {"ref": "rafalpronko/first-notebook", "kernel_id": "142396"}, {"ref": "rafalpronko/notebook273b62ab03", "kernel_id": "142415"}, {"ref": "rafalpronko/testy", "kernel_id": "142417"}, {"ref": "ivanov/notebookc91182d489", "kernel_id": "151665"}, {"ref": "wordsforthewise/merry-christmas-y-all", "kernel_id": "152276"}, {"ref": "ekim01/notebookc25d938ad3", "kernel_id": "158012"}, {"ref": "agavranis/test-lev", "kernel_id": "235990"}, {"ref": "fsyed1/build-weights", "kernel_id": "142070"}, {"ref": "rexdwyer/notebook32e47b2dee", "kernel_id": "149856"}, {"ref": "zaburo/estimate-the-mean-std-and-prob-of-submissions", "kernel_id": "149176"}, {"ref": "javaduke95/can-we-improve-by-increasing-variance", "kernel_id": "149889"}, {"ref": "michaelzxu/can-we-improve-by-increasing-variance", "kernel_id": "158707"}, {"ref": "michaelzxu/can-we-improve-by-increasing-variance-a5d7a5e7", "kernel_id": "158755"}, {"ref": "michaelzxu/fill-those-bags-with-a-ga-based-search", "kernel_id": "142041"}, {"ref": "vfdev5/gift-count-weight-visualizations-in-kg", "kernel_id": "143582"}, {"ref": "vfdev5/fork-of-santa-quick-look", "kernel_id": "143568"}, {"ref": "studiocypress/optimal-expected-submission-value", "kernel_id": "161497"}, {"ref": "vipindas/notebooka36dad70c5", "kernel_id": "144701"}, {"ref": "fmcalcagno/notebooka891f5d3b3", "kernel_id": "147378"}, {"ref": "fmcalcagno/notebookcc5dd9fb04", "kernel_id": "147379"}, {"ref": "fmcalcagno/notebook1ac88beb74", "kernel_id": "147728"}, {"ref": "jaybob20/python-greedy-search", "kernel_id": "154621"}, {"ref": "pankajvshrma/merry-christmas-y-all", "kernel_id": "144012"}, {"ref": "danielhuckins/notebook1d85cc8793", "kernel_id": "144272"}, {"ref": "stealthq/notebook30bd467029", "kernel_id": "143070"}, {"ref": "stealthq/test1", "kernel_id": "143074"}, {"ref": "hahamark/notebook98714ce75a", "kernel_id": "156259"}, {"ref": "danieldias/notebookf9db44c89b", "kernel_id": "142306"}, {"ref": "nmud19/can-we-improve-by-increasing-variance", "kernel_id": "153306"}, {"ref": "packwolf/distribution-visualization", "kernel_id": "142224"}, {"ref": "rdslater/distribution-visualization", "kernel_id": "141764"}, {"ref": "mehdifarhangian/mathematical-formulation-of-santa-s-problem", "kernel_id": "157047"}, {"ref": "arjoonn/a-christmas-without-snow", "kernel_id": "143936"}, {"ref": "chinmayupadhyay/data-extraction", "kernel_id": "159006"}, {"ref": "dkchaitanya/notebookcd6ab3290b", "kernel_id": "142395"}, {"ref": "longint/python-greedy-search", "kernel_id": "145096"}, {"ref": "longint/python-greedy-search223", "kernel_id": "145916"}, {"ref": "cfsantos/notebook6e7d229550", "kernel_id": "141672"}, {"ref": "mholmes/helloworld", "kernel_id": "146658"}, {"ref": "eliotbarr/santa-python-first-analysis", "kernel_id": "142445"}, {"ref": "hhllcks/can-we-improve-by-increasing-variance", "kernel_id": "152560"}, {"ref": "jihyeseo/santa-eda", "kernel_id": "958187"}, {"ref": "leozhuo/some-useful-function-for-visualization", "kernel_id": "143507"}, {"ref": "hisuka/can-we-improve-by-increasing-variance", "kernel_id": "149383"}, {"ref": "shixw125/testy", "kernel_id": "143040"}, {"ref": "shixw125/python-greedy-search", "kernel_id": "144476"}, {"ref": "shixw125/giba-naive1", "kernel_id": "143903"}, {"ref": "shixw125/can-we-improve-by-increasing-variance", "kernel_id": "162682"}, {"ref": "cnheider/can-we-improve-by-increasing-variance", "kernel_id": "154728"}, {"ref": "jayana/notebook336a971a99", "kernel_id": "162547"}, {"ref": "dimkorb/shuffle2", "kernel_id": "164189"}, {"ref": "dimkorb/convolution-script", "kernel_id": "161980"}, {"ref": "dimkorb/notebook8f01e77690", "kernel_id": "162116"}, {"ref": "ledgars/notebook15e40f0e66", "kernel_id": "164362"}, {"ref": "ledgars/fork-of-this-is-script", "kernel_id": "158092"}, {"ref": "ledgars/fork-of-this-is-script-a90f30d4", "kernel_id": "158093"}, {"ref": "yuan296103/notebookc2857aad5c", "kernel_id": "143523"}, {"ref": "wenjianhukaggle/merry-christmas-y-all-python-version", "kernel_id": "145594"}, {"ref": "anki08/santa-s-gifts", "kernel_id": "144203"}, {"ref": "nickbray/can-we-improve-by-increasing-variance", "kernel_id": "151966"}, {"ref": "nickbray/can-we-improve-by-increasing-variance-1055572c", "kernel_id": "151971"}, {"ref": "oysteijo/montecarlo-simulation-and-check-of-submissions", "kernel_id": "142466"}, {"ref": "monkeydunkey/santa-s-gifts-estimated-weight-and-bin-packing", "kernel_id": "142549"}, {"ref": "texmexmachine/satan-s-watching", "kernel_id": "142309"}, {"ref": "yasasa/notebook13918e28ee", "kernel_id": "143391"}, {"ref": "rbouwmeester/notebookb19de3a817", "kernel_id": "158151"}, {"ref": "alijs1/play-with-gifts", "kernel_id": "141596"}, {"ref": "svesal/santa-bag2", "kernel_id": "142760"}, {"ref": "svesal/test22222", "kernel_id": "163488"}, {"ref": "fzhurd/santa-bags-v1-20161231", "kernel_id": "149156"}, {"ref": "rupesh96/notebookd11deb1307", "kernel_id": "142736"}, {"ref": "rearmlkp/estimate-the-distribution-of-gifts-combination", "kernel_id": "142967"}, {"ref": "nitishjoshi/notebook048e070544", "kernel_id": "144626"}, {"ref": "binilg/can-we-improve-by-increasing-variance", "kernel_id": "154425"}, {"ref": "binilg/hiii55", "kernel_id": "150057"}, {"ref": "binilg/hiii5", "kernel_id": "147967"}, {"ref": "yzshawn/notebook1bb833b394", "kernel_id": "166004"}, {"ref": "irrwitz/show-distributions", "kernel_id": "142978"}, {"ref": "irrwitz/intro", "kernel_id": "142960"}, {"ref": "irrwitz/notebook4601a1c671", "kernel_id": "146162"}, {"ref": "yhyu13/filling-bags-with-simulated-annealing-forked", "kernel_id": "143817"}, {"ref": "diegfern/notebookbb686bd1c6", "kernel_id": "148764"}, {"ref": "alvinwan/distribution-visualization", "kernel_id": "142421"}, {"ref": "skramer/mathematical-formulation-of-santa-s-problem", "kernel_id": "145330"}, {"ref": "zobara/santa-uncertain", "kernel_id": "152067"}, {"ref": "deesha/santa", "kernel_id": "146808"}, {"ref": "japillow/can-we-improve-by-increasing-variance", "kernel_id": "155826"}, {"ref": "kahuna/merry-christmas-y-all", "kernel_id": "160777"}, {"ref": "notbritish/fast-computation-of-expected-value-for-bags", "kernel_id": "149933"}, {"ref": "robfinnegan/santaslittlehelper", "kernel_id": "141740"}, {"ref": "phatryun/notebook788c9fd17f", "kernel_id": "155566"}, {"ref": "phatryun/begin", "kernel_id": "155562"}, {"ref": "bcrad22/santas-bags-2016-12-29", "kernel_id": "147101"}, {"ref": "den3b81/can-we-improve-by-increasing-variance", "kernel_id": "163331"}, {"ref": "sgirkin/notebook09689ed6ea", "kernel_id": "151888"}, {"ref": "zfrysrylmz/can-we-improve-by-increasing-variance", "kernel_id": "165823"}, {"ref": "zfrysrylmz/can-we-improve-by-increasing-variance-efc1b881", "kernel_id": "165824"}, {"ref": "cescfangs/can-we-improve-by-increasing-variance-71db5233", "kernel_id": "159990"}, {"ref": "cescfangs/can-we-improve-by-increasing-variance-fb1e8811", "kernel_id": "159761"}, {"ref": "cescfangs/can-we-improve-by-increasing-variance-14448598", "kernel_id": "160022"}, {"ref": "cescfangs/can-we-improve-by-increasing-variance", "kernel_id": "153431"}, {"ref": "jackba/notebook70642d0787", "kernel_id": "148295"}, {"ref": "pbellis/default", "kernel_id": "155116"}, {"ref": "yseeker/can-we-improve-by-increasing-variance", "kernel_id": "149544"}, {"ref": "yseeker/can-we-improve-by-increasing-variance-224e3f04", "kernel_id": "149545"}, {"ref": "yseeker/optimal-expected-submission-value", "kernel_id": "152242"}, {"ref": "jpsingh/first-script", "kernel_id": "143729"}, {"ref": "vityzi/notebook288aaafbec", "kernel_id": "172268"}, {"ref": "gshevchuk/exploratory-notebook-v1", "kernel_id": "162296"}, {"ref": "charlesleung/notebookda42e2ad67", "kernel_id": "146742"}, {"ref": "rupeshwadibhasme/fill-those-bags-with-a-ga-based-search", "kernel_id": "142828"}, {"ref": "jolasakala/notebookae53502ecf", "kernel_id": "148473"}, {"ref": "kristinakalbasiuk/notebook20fde87940", "kernel_id": "144105"}, {"ref": "abdessalam/notebookf8cb8172e4", "kernel_id": "145872"}, {"ref": "abdessalam/notebookd871188790", "kernel_id": "144121"}, {"ref": "liuzheyu/optimal-expected-submission-value", "kernel_id": "157156"}, {"ref": "delatorrejuanchi/notebooke8edc58e64", "kernel_id": "151451"}, {"ref": "nebular/notebookd5e9890aaf", "kernel_id": "154953"}, {"ref": "rfliu6/can-we-improve-by-increasing-variance", "kernel_id": "158055"}, {"ref": "jtowler/santa-s-gifts-estimated-weight-and-bin-packing", "kernel_id": "142918"}, {"ref": "jtowler/plotting-example-gift-weights", "kernel_id": "142940"}, {"ref": "harryjackson/testing", "kernel_id": "169093"}, {"ref": "stephene/notebook0230756664", "kernel_id": "158345"}, {"ref": "marcusschwarting/notebookb7869ccc7f", "kernel_id": "146935"}, {"ref": "takuok/santa", "kernel_id": "151194"}, {"ref": "takuok/notebook3028ccef50", "kernel_id": "151196"}, {"ref": "takuok/santasan", "kernel_id": "151197"}, {"ref": "eric2579/notebook6060c39efa", "kernel_id": "143173"}, {"ref": "mkatsimpris/notebook1ce7b0c657", "kernel_id": "143209"}, {"ref": "jrabie/notebook007ed81fb7", "kernel_id": "146348"}, {"ref": "wencyang/merry-christmas-y-all", "kernel_id": "151097"}, {"ref": "millie689/can-we-improve-by-increasing-variance", "kernel_id": "157963"}, {"ref": "othee86/can-we-improve-by-increasing-variance", "kernel_id": "153229"}, {"ref": "jyotismita4/notebook9caace1bf0", "kernel_id": "151334"}, {"ref": "jyotismita4/notebook2b01061810", "kernel_id": "151384"}, {"ref": "jyotismita4/notebook4342fa3a33", "kernel_id": "151328"}, {"ref": "hussain786/notebooke90481ae1e", "kernel_id": "153256"}, {"ref": "hussain786/notebook82dc073ee5", "kernel_id": "153258"}, {"ref": "hussain786/notebook0d76e01c48", "kernel_id": "153254"}, {"ref": "samirthakur1993/notebookbf0e8d82e8", "kernel_id": "151331"}, {"ref": "samirthakur1993/notebookf86fdf0755", "kernel_id": "151321"}, {"ref": "anshuamboruah/notebook6ddad6dbc8", "kernel_id": "151378"}, {"ref": "anshuamboruah/notebook8fe7188ef2", "kernel_id": "151402"}, {"ref": "subhomoydey90/notebook2ae368abb8", "kernel_id": "151403"}, {"ref": "vivekverma/notebook0c057b8f13", "kernel_id": "151359"}, {"ref": "vivekverma/notebook41d36f213f", "kernel_id": "151315"}, {"ref": "thebhatta/notebook8b11acd3bc", "kernel_id": "151342"}, {"ref": "ritapaul/notebook78a6e0967d", "kernel_id": "151368"}, {"ref": "rissnalin6/notebook4031a15f07", "kernel_id": "151452"}, {"ref": "rissnalin6/notebookcd026d4d4c", "kernel_id": "152292"}, {"ref": "himalakshi/notebook7538f9b933", "kernel_id": "151337"}, {"ref": "himalakshi/notebookec01188405", "kernel_id": "151386"}, {"ref": "kumarisweta/kovid-gu-kumari-sweta-notebook", "kernel_id": "151309"}, {"ref": "kumarisweta/notebookbb5663d24b", "kernel_id": "151389"}, {"ref": "kumarisweta/notebooke8176c969c", "kernel_id": "151395"}, {"ref": "kumarisweta/notebook2dad1eb093", "kernel_id": "151429"}, {"ref": "roshandec29/notebook7ce14fc866", "kernel_id": "151370"}, {"ref": "roshandec29/notebook2bd956513a", "kernel_id": "151313"}, {"ref": "manash123/notebook01a52269db", "kernel_id": "151393"}, {"ref": "fohmida/notebook6f24c7e04f", "kernel_id": "181275"}, {"ref": "fohmida/notebookcf3a980d8a", "kernel_id": "181267"}, {"ref": "fohmida/fork-of-the-santa-problem", "kernel_id": "181298"}, {"ref": "fohmida/fork-of-the-santa-uncertain-problem", "kernel_id": "181299"}, {"ref": "fohmida/santa-uncertainity-bags", "kernel_id": "181279"}, {"ref": "fohmida/santa-uncertainity-bag", "kernel_id": "181282"}, {"ref": "fohmida/the-santa-problem", "kernel_id": "181284"}, {"ref": "fohmida/notebook62ea8e3740", "kernel_id": "151394"}, {"ref": "ankip3d/notebook5a0a94e5e3", "kernel_id": "151320"}, {"ref": "kanchan31/notebookda2cf33c88", "kernel_id": "151323"}, {"ref": "kanchan31/notebook87b53e5500", "kernel_id": "151332"}, {"ref": "kanchan31/notebook6a6acab31a", "kernel_id": "151356"}, {"ref": "kanchan31/notebook5080c7fa61", "kernel_id": "151365"}, {"ref": "divyabaruah/notebook2bcefa15c1", "kernel_id": "151387"}, {"ref": "divyabaruah/notebook9510f44fd1", "kernel_id": "151376"}, {"ref": "vish3sh/notebook293a1f7381", "kernel_id": "157346"}, {"ref": "vish3sh/fork-of-notebook293a1f7381", "kernel_id": "157360"}, {"ref": "chandan1996/notebook589b333467", "kernel_id": "151367"}, {"ref": "chandan1996/notebook66a08e13f9", "kernel_id": "153406"}, {"ref": "krishb93/notebook49f850ede4", "kernel_id": "151345"}, {"ref": "krishb93/notebook554692ccb8", "kernel_id": "151382"}, {"ref": "juchika/notebook52bf968f37", "kernel_id": "151375"}, {"ref": "biswajyoti/notebookf170b2cb05", "kernel_id": "151884"}, {"ref": "debasishhazarika/notebookf8f5f7d821", "kernel_id": "151381"}, {"ref": "rkbrubul/notebookee2e645432", "kernel_id": "151379"}, {"ref": "rkbrubul/notebook71ced8956d", "kernel_id": "151374"}, {"ref": "rajivbarman123/notebook403998d193", "kernel_id": "151339"}, {"ref": "rajivbarman123/notebookd9d30eb39f", "kernel_id": "151466"}, {"ref": "abora80/notebook4dccb8ab5a", "kernel_id": "151373"}, {"ref": "abora80/notebook22d0d1802d", "kernel_id": "151380"}, {"ref": "drbhargabmedhi/notebook06d1d6c7da", "kernel_id": "151377"}, {"ref": "drbhargabmedhi/notebook430d326fac", "kernel_id": "151400"}, {"ref": "drbhargabmedhi/notebookf3ab884e18", "kernel_id": "152282"}, {"ref": "nazma123/notebook14e9dc6d74", "kernel_id": "151388"}, {"ref": "jinti123/notebooke9f8b91292", "kernel_id": "151372"}, {"ref": "lucifer99/notebook415be921e6", "kernel_id": "151369"}, {"ref": "rajatkantisaha/notebook3a28ed4a2d", "kernel_id": "151390"}, {"ref": "moumi1995/notebookadef6da322", "kernel_id": "157537"}, {"ref": "jeenti123/notebook60be131a38", "kernel_id": "151534"}, {"ref": "jaschaknack/notebook405be7fffc", "kernel_id": "151725"}, {"ref": "sengpya96/notebook2912efaeb3", "kernel_id": "178263"}, {"ref": "sengpya96/notebook59ea394f54", "kernel_id": "178274"}, {"ref": "tattchee/can-we-improve-by-increasing-variance", "kernel_id": "152713"}, {"ref": "tattchee/how-about-evolutionary-algorithm", "kernel_id": "152690"}, {"ref": "nilkree/test1", "kernel_id": "152878"}, {"ref": "nilkree/test2", "kernel_id": "154705"}, {"ref": "johnerb/santa-quick-look", "kernel_id": "164699"}, {"ref": "csvreel/can-we-improve-by-increasing-variance", "kernel_id": "162875"}, {"ref": "charlesfox/notebookc592f31101", "kernel_id": "156135"}, {"ref": "neighthan/lp-optimize-expected-score", "kernel_id": "157621"}, {"ref": "gmonneret/notebook11ce581392", "kernel_id": "159373"}, {"ref": "a1696342/using-greedy-search", "kernel_id": "393766"}, {"ref": "serhiiloboda/just-count-probabilities", "kernel_id": "3346045"}, {"ref": "abhinavvvvvvvvvv/santa-s-uncertain-bags", "kernel_id": "55160862"}]}
{"competition_id": "5984", "kernels": []}
{"competition_id": "5988", "kernels": []}
{"competition_id": "5994", "kernels": []}
{"competition_id": "5999", "kernels": []}
{"competition_id": "6000", "kernels": []}
{"competition_id": "6003", "kernels": []}
{"competition_id": "6004", "kernels": [{"ref": "javiermares/full-preprocessing-tutorial-883ea737", "kernel_id": "179505"}, {"ref": "javiermares/full-preprocessing-tutorial-218ba3db", "kernel_id": "181334"}, {"ref": "javiermares/full-preprocessing-tutorial-67e0d44a", "kernel_id": "174136"}, {"ref": "javiermares/full-preprocessing-tutorial-d8e31d25", "kernel_id": "178326"}, {"ref": "javiermares/full-preprocessing-tutorial", "kernel_id": "169586"}, {"ref": "javiermares/full-preprocessing-tutorial-d378e9a4", "kernel_id": "169660"}, {"ref": "javiermares/full-preprocessing-tutorial-f7cb52", "kernel_id": "185741"}, {"ref": "javiermares/visualizing-segmentations-from-full-prepro-tut", "kernel_id": "185744"}, {"ref": "valtron/slice-visualizer", "kernel_id": "159589"}, {"ref": "alexxanderlarko/improved-lung-segmentation-using-watershed", "kernel_id": "174004"}, {"ref": "holgerknust/full-preprocessing-tutorial", "kernel_id": "174771"}, {"ref": "nellaivijay/first-pass-through-data-w-3d-convnet", "kernel_id": "184769"}, {"ref": "cvgoudar/notebook5a99bd1b37", "kernel_id": "237560"}, {"ref": "wcukierski/notebook3ba502ea36", "kernel_id": "158661"}, {"ref": "wcukierski/notebooke508f4faef", "kernel_id": "158779"}, {"ref": "stevenhedges/exploratory-data-analysis", "kernel_id": "176422"}, {"ref": "gweissman/notebook4014b311c2", "kernel_id": "158810"}, {"ref": "gweissman/analysis", "kernel_id": "158756"}, {"ref": "zhanxw/test001", "kernel_id": "162656"}, {"ref": "cmis91/full-preprocessing-tutorial", "kernel_id": "198788"}, {"ref": "kalpathy/the-perfect-score-script", "kernel_id": "164382"}, {"ref": "kalpathy/full-preprocessing-tutorial", "kernel_id": "172676"}, {"ref": "jeffstahler/candidate-generation-and-luna16-preprocessi-457999", "kernel_id": "192570"}, {"ref": "jeffstahler/candidate-generation-and-luna16-preprocessing", "kernel_id": "176116"}, {"ref": "wywismygod/helloworld1", "kernel_id": "208536"}, {"ref": "leadbest/resnet50-int-xgboost", "kernel_id": "164191"}, {"ref": "leadbest/initial-try", "kernel_id": "158829"}, {"ref": "leadbest/resnet50-features-xgboost", "kernel_id": "159573"}, {"ref": "spyndocktor/jim-dicom-test", "kernel_id": "173879"}, {"ref": "dowdyg1/full-preprocessing-tutorial", "kernel_id": "216151"}, {"ref": "dowdyg1/testkernel", "kernel_id": "216299"}, {"ref": "dowdyg1/notebookf492bf8a3f", "kernel_id": "216338"}, {"ref": "dowdyg1/testkernel1", "kernel_id": "216339"}, {"ref": "dowdyg1/testkernel2", "kernel_id": "216341"}, {"ref": "kymhorsell1/exploratory-data-analysis", "kernel_id": "164114"}, {"ref": "yihaokao/notebook9217c04065", "kernel_id": "207918"}, {"ref": "adrish/notebook008067e3eb", "kernel_id": "197627"}, {"ref": "adrish/notebook88f94cf6a6", "kernel_id": "197644"}, {"ref": "invinciblejha/the-perfect-score-script", "kernel_id": "188671"}, {"ref": "lodalicious/full-preprocessing-tutorial", "kernel_id": "172847"}, {"ref": "arthurdent/full-preprocessing-tutorial", "kernel_id": "177564"}, {"ref": "arthurdent/full-preprocessing-tutorial-8d7db016", "kernel_id": "177569"}, {"ref": "fvelickovski/full-preprocessing-tutorial", "kernel_id": "171964"}, {"ref": "fvelickovski/candidate-generation-and-luna16-preprocessing", "kernel_id": "192184"}, {"ref": "rubens/full-preprocessing-tutorial", "kernel_id": "160051"}, {"ref": "hiteshag/full-preprocessing-tutorial", "kernel_id": "162065"}, {"ref": "powerb/full-preprocessing-tutorial", "kernel_id": "164116"}, {"ref": "observer/full-preprocessing-tutorial", "kernel_id": "190857"}, {"ref": "fuhang/notebookc72f1a4f56", "kernel_id": "225486"}, {"ref": "ssemenyuk/naive-averaging", "kernel_id": "159223"}, {"ref": "irashadow/full-preprocessing-tutorial", "kernel_id": "178660"}, {"ref": "deepdataminer/notebook7177b546d5", "kernel_id": "198503"}, {"ref": "deepdataminer/notebookef15c8d5a6", "kernel_id": "198693"}, {"ref": "deepdataminer/notebooke9185a529b", "kernel_id": "198481"}, {"ref": "deepdataminer/notebookbc3b779a60", "kernel_id": "200537"}, {"ref": "jiangyuning/overfitting-the-leaderboard", "kernel_id": "164419"}, {"ref": "gmobaz/some-r-tools-for-faster-preprocess", "kernel_id": "195538"}, {"ref": "shuchaobi/exploratory-data-analysis", "kernel_id": "171467"}, {"ref": "shuchaobi/exploratory-data-analysis-1899d7a1", "kernel_id": "171474"}, {"ref": "laotao/full-preprocessing-tutorial", "kernel_id": "161690"}, {"ref": "danioyuan/full-preprocessing-tutorial", "kernel_id": "162206"}, {"ref": "ivanko/full-preprocessing-tutorial", "kernel_id": "176290"}, {"ref": "hamelhusain/full-preprocessing-tutorial", "kernel_id": "160294"}, {"ref": "thakurrajanand/resnet50-features-xgboost", "kernel_id": "159539"}, {"ref": "escorciav/full-preprocessing-tutorial", "kernel_id": "174027"}, {"ref": "nailakhan/nak02", "kernel_id": "188315"}, {"ref": "hmnshu/full-preprocessing-tutorial", "kernel_id": "196778"}, {"ref": "fabmilo/full-preprocessing-tutorial", "kernel_id": "162373"}, {"ref": "iamnuomi/full-preprocessing-tutorial", "kernel_id": "183072"}, {"ref": "mandarup/full-preprocessing-tutorial", "kernel_id": "160186"}, {"ref": "jinjun/full-preprocessing-tutorial", "kernel_id": "177970"}, {"ref": "andrewtrice/candidate-generation-and-luna16-preprocessing", "kernel_id": "193288"}, {"ref": "andrewtrice/first-pass-through-data-w-3d-convnet", "kernel_id": "186321"}, {"ref": "andrewtrice/full-preprocessing-tutorial-205650c8", "kernel_id": "181157"}, {"ref": "andrewtrice/full-preprocessing-tutorial-eff5a358", "kernel_id": "181264"}, {"ref": "andrewtrice/full-preprocessing-tutorial", "kernel_id": "178616"}, {"ref": "andrewtrice/full-preprocessing-tutorial-82a98146", "kernel_id": "179143"}, {"ref": "deepbrain/full-preprocessing-tutorial", "kernel_id": "166000"}, {"ref": "urodata/full-preprocessing-tutorial", "kernel_id": "165799"}, {"ref": "freewan/notebooke42716fcef", "kernel_id": "198974"}, {"ref": "freewan/notebooked3c996b81", "kernel_id": "158860"}, {"ref": "freewan/fast-exploratory-data-analysis-in-r", "kernel_id": "158865"}, {"ref": "l0gr1thm1k/full-preprocessing-tutorial", "kernel_id": "169126"}, {"ref": "titericz/python-versions", "kernel_id": "207954"}, {"ref": "zz0001/vectors-of-hounsfield-units-lb-0-60", "kernel_id": "188655"}, {"ref": "zz0001/full-preprocessing-tutoria", "kernel_id": "171744"}, {"ref": "zz0001/full-preprocessing-tutorial-bad1cd4b", "kernel_id": "173355"}, {"ref": "zz0001/vectors-of-hounsfield-units", "kernel_id": "173369"}, {"ref": "nplevitt/exploratory-data-analysis", "kernel_id": "187690"}, {"ref": "nplevitt/full-preprocessing-tutorial", "kernel_id": "187704"}, {"ref": "vrkhare/loading-and-processing-the-sample-images", "kernel_id": "175409"}, {"ref": "eagles2f/3d-convolutional-neural-network-w-o-program-8f9b66", "kernel_id": "196663"}, {"ref": "eagles2f/first-pass-through-data-w-3d-convnet-295a61", "kernel_id": "197017"}, {"ref": "eagles2f/full-preprocessing-tutorial-164ab0", "kernel_id": "197013"}, {"ref": "eagles2f/3d-convolutional-neural-network-w-o-programming", "kernel_id": "192114"}, {"ref": "eagles2f/3d-convolutional-neural-network-w-o-program-6022c9", "kernel_id": "192116"}, {"ref": "eagles2f/first-pass-through-data-w-3d-convnet", "kernel_id": "181712"}, {"ref": "eagles2f/full-preprocessing-tutorial", "kernel_id": "168386"}, {"ref": "deepakagrawal/first-pass-through-data-w-3d-convnet", "kernel_id": "197439"}, {"ref": "drpatrickchan/first-pass-through-data-w-3d-convnet-82bb5fa8", "kernel_id": "180663"}, {"ref": "valadi/exploratory-data-analysis-7e0c209c", "kernel_id": "158959"}, {"ref": "rocelot/smdftb", "kernel_id": "205764"}, {"ref": "eijawolf/r-explore-as-we-go-use-at-your-own-risk", "kernel_id": "165481"}, {"ref": "haoshuji/full-preprocessing-tutorial", "kernel_id": "162994"}, {"ref": "haoshuji/the-perfect-score-script", "kernel_id": "163950"}, {"ref": "haoshuji/the-perfect-score-script-0d624984", "kernel_id": "163952"}, {"ref": "khateeb/full-preprocessing-tutorial", "kernel_id": "160931"}, {"ref": "gynagy/notebook6f54c39331", "kernel_id": "171802"}, {"ref": "gynagy/full-preprocessing-tutorial", "kernel_id": "185166"}, {"ref": "alxndrkalinin/resnet50-features-xgboost", "kernel_id": "218545"}, {"ref": "kmader/extracting-lung-and-structure-rendering", "kernel_id": "205339"}, {"ref": "kmader/simple-single-image-features-for-cancer", "kernel_id": "181756"}, {"ref": "kmader/pca-analysis-of-pixels", "kernel_id": "181806"}, {"ref": "kmader/dicom-metadata-overview-simple-model", "kernel_id": "173227"}, {"ref": "kmader/3d-lung-volumes-using-simpleitk", "kernel_id": "171277"}, {"ref": "patelkm/full-preprocessing-tutorial", "kernel_id": "162026"}, {"ref": "jonshao/full-preprocessing-tutorial-9f55516f", "kernel_id": "173912"}, {"ref": "jonshao/the-perfect-score-script", "kernel_id": "176942"}, {"ref": "jonshao/full-preprocessing-tutorial", "kernel_id": "160574"}, {"ref": "stimakov/full-preprocessing-tutorial", "kernel_id": "160231"}, {"ref": "pranavmodi/full-preprocessing-tutorial", "kernel_id": "177897"}, {"ref": "nrupal/exploratory-data-analysis", "kernel_id": "175956"}, {"ref": "ljubomir/full-preprocessing-tutorial-7241140a", "kernel_id": "174678"}, {"ref": "ljubomir/full-preprocessing-tutorial-6d9dddaa", "kernel_id": "161609"}, {"ref": "ljubomir/full-preprocessing-tutorial", "kernel_id": "161606"}, {"ref": "vbs0711/full-preprocessing-tutorial", "kernel_id": "190628"}, {"ref": "ivarssilamikelis/full-preprocessing-tutorial", "kernel_id": "160230"}, {"ref": "pabloazar/notebookfcd15e672c", "kernel_id": "221270"}, {"ref": "franchi/notebook604ec2b845", "kernel_id": "165078"}, {"ref": "stepnovij/notebookfe75b57b06", "kernel_id": "165679"}, {"ref": "stepnovij/notebookb2c45975f1", "kernel_id": "208220"}, {"ref": "anfang/full-preprocessing-tutorial-76037c14", "kernel_id": "167164"}, {"ref": "anfang/notebook542e97b98d", "kernel_id": "167353"}, {"ref": "anfang/notebook370ea939ad", "kernel_id": "167354"}, {"ref": "anfang/full-preprocessing-tutorial-b06a1376", "kernel_id": "167979"}, {"ref": "anfang/full-preprocessing-tutorial-7b52e572", "kernel_id": "168563"}, {"ref": "anfang/notebook729d7ebc50", "kernel_id": "159756"}, {"ref": "anfang/full-preprocessing-tutorial", "kernel_id": "162025"}, {"ref": "travisglines/lb-0-56130-resnet50-features-xgboost", "kernel_id": "159535"}, {"ref": "aakansh9/notebook9778ee1e6f", "kernel_id": "224712"}, {"ref": "binyam/notebook80c4a51e0d", "kernel_id": "161667"}, {"ref": "wonglkd/notebooke99ba0a2f0", "kernel_id": "160629"}, {"ref": "feroxx/full-preprocessing-tutorial", "kernel_id": "169481"}, {"ref": "ashver/data-science-bowl-first-pass-video-tutorial", "kernel_id": "184405"}, {"ref": "ashver/exploratory-data-analysis", "kernel_id": "184408"}, {"ref": "sukeshp/notebook28d5c900f2", "kernel_id": "164824"}, {"ref": "yarmolau/overfitting-the-leaderboard", "kernel_id": "162981"}, {"ref": "nkhuyu/overfitting-the-leaderboard", "kernel_id": "163940"}, {"ref": "threedb/improved-lung-segmentation-using-watershed", "kernel_id": "170410"}, {"ref": "piperid/notebook49093d1107", "kernel_id": "174495"}, {"ref": "janwillemtimmer/full-preprocessing-tutorial", "kernel_id": "166956"}, {"ref": "adrianlsk/full-preprocessing-tutorial", "kernel_id": "173481"}, {"ref": "adrianlsk/improved-lung-segmentation-using-watershed", "kernel_id": "185372"}, {"ref": "yoctoman/first-pass-through-data-w-3d-convnet", "kernel_id": "259782"}, {"ref": "pasenor/full-preprocessing-tutorial", "kernel_id": "162746"}, {"ref": "uday1889/full-preprocessing-tutorial", "kernel_id": "184664"}, {"ref": "jianshuzhao/full-preprocessing-tutorial", "kernel_id": "176235"}, {"ref": "kirk86/exploratory-data-analysis", "kernel_id": "159230"}, {"ref": "kirk86/resnet-50-features-ensemble", "kernel_id": "160080"}, {"ref": "oostopitre/notebookea11a0d960", "kernel_id": "195419"}, {"ref": "amunategui/notebook203fd6f61d", "kernel_id": "163629"}, {"ref": "jronin/notebook8e36e570d5", "kernel_id": "171858"}, {"ref": "infomediarar/notebook1b1e198271", "kernel_id": "177500"}, {"ref": "infomediarar/notebook367eacaa8f", "kernel_id": "177683"}, {"ref": "akilaw/the-perfect-score-script", "kernel_id": "163531"}, {"ref": "akilaw/exploratory-data-analysis-7e0c209c", "kernel_id": "159074"}, {"ref": "akilaw/resnet50-features-xgboost", "kernel_id": "159765"}, {"ref": "sairahulreddy/full-preprocessing-tutorial", "kernel_id": "167321"}, {"ref": "sumitl/full-preprocessing-tutorial", "kernel_id": "170169"}, {"ref": "phdata/notebookfde6296be5", "kernel_id": "200098"}, {"ref": "valeriur/the-perfect-score-script-50863029", "kernel_id": "165577"}, {"ref": "valeriur/the-perfect-score-script", "kernel_id": "165178"}, {"ref": "philschmidt/full-preprocessing-tutorial", "kernel_id": "160156"}, {"ref": "neil90/notebook842c5a31d5", "kernel_id": "163129"}, {"ref": "shgidi/first-pass-through-data-w-3d-convnet", "kernel_id": "193436"}, {"ref": "weizhang/notebooka674dc85ba", "kernel_id": "160071"}, {"ref": "raeisi/full-preprocessing-tutorial-dc3a8add", "kernel_id": "174019"}, {"ref": "raeisi/full-preprocessing-tutorial-0cd6dcc0", "kernel_id": "174048"}, {"ref": "raeisi/first-pass-through-data-w-3d-convnet", "kernel_id": "186211"}, {"ref": "brig06/full-preprocessing-tutorial", "kernel_id": "166531"}, {"ref": "brig06/exploratory-data-analysis", "kernel_id": "158974"}, {"ref": "archananan/initial-look", "kernel_id": "173500"}, {"ref": "phunter/resnet50-features-xgboost", "kernel_id": "159667"}, {"ref": "enolan2/full-preprocessing-tutorial", "kernel_id": "171114"}, {"ref": "ddddawzy/full-preprocessing-tutorial", "kernel_id": "194983"}, {"ref": "kaysuh/notebook513be879dc", "kernel_id": "190357"}, {"ref": "zacharysbrown/full-preprocessing-tutorial", "kernel_id": "161897"}, {"ref": "omakhlouf/full-preprocessing-tutorial", "kernel_id": "164889"}, {"ref": "mkhodeir/full-preprocessing-tutorial", "kernel_id": "164848"}, {"ref": "telesphore/full-preprocessing-tutorial", "kernel_id": "172997"}, {"ref": "sumangiri/full-preprocessing-tutorial", "kernel_id": "176980"}, {"ref": "hengck23/the-perfect-score-script", "kernel_id": "171206"}, {"ref": "amazedsaint/lung-cancer-detection-exploring", "kernel_id": "288383"}, {"ref": "tamasszuromi/full-preprocessing-tutorial", "kernel_id": "170019"}, {"ref": "IHenry/full-preprocessing-tutorial", "kernel_id": "161538"}, {"ref": "pauleuh/notebook8b5f17acb4", "kernel_id": "162431"}, {"ref": "g115109/notebook61a02ba227", "kernel_id": "183056"}, {"ref": "g115109/notebook019a650100", "kernel_id": "182146"}, {"ref": "g115109/notebookdc4d92cf6a", "kernel_id": "182133"}, {"ref": "g115109/notebook7685119590", "kernel_id": "182134"}, {"ref": "ariesrups/notebook09f08a9f55", "kernel_id": "159245"}, {"ref": "shenli/full-preprocessing-tutorial", "kernel_id": "162787"}, {"ref": "flybirdai/notebooke2df447908", "kernel_id": "158681"}, {"ref": "prajak/full-preprocessing-tutorial", "kernel_id": "178343"}, {"ref": "prajak/full-preprocessing-tutorial-56618b15", "kernel_id": "180963"}, {"ref": "ungsur/full-preprocessing-tutorial", "kernel_id": "161199"}, {"ref": "lckung/first-pass-through-data-w-3d-convnet", "kernel_id": "181552"}, {"ref": "eigenz/notebook146ab99111", "kernel_id": "221600"}, {"ref": "doktorkromann/full-preprocessing-tutorial", "kernel_id": "173335"}, {"ref": "doktorkromann/full-preprocessing-tutorial-e05c4e9f", "kernel_id": "173337"}, {"ref": "bgoldfeder/candidate-generation-and-luna16-preprocessi-72ebff", "kernel_id": "229824"}, {"ref": "bgoldfeder/full-preprocessing-csi-758", "kernel_id": "209902"}, {"ref": "bgoldfeder/first-pass-csi-758", "kernel_id": "209899"}, {"ref": "bgoldfeder/full-preprocessing-csi758-2", "kernel_id": "251807"}, {"ref": "bgoldfeder/my-idea-for-lung-segmentation-last-day-foo", "kernel_id": "232374"}, {"ref": "udaykrizna/notebookff5f041c27", "kernel_id": "212537"}, {"ref": "jsardinha/notebook9cba29991d", "kernel_id": "196102"}, {"ref": "zeyali/notebookfb4356eaae", "kernel_id": "163885"}, {"ref": "miamiasheep/hello-py", "kernel_id": "158957"}, {"ref": "ktimothy/first-pass-through-data-w-3d-convnet", "kernel_id": "183984"}, {"ref": "balasel12/notebook53fdb0d897", "kernel_id": "199648"}, {"ref": "rjmishra/notebook217d322ef7", "kernel_id": "170943"}, {"ref": "luistorres/notebook3a845eaaf7", "kernel_id": "216869"}, {"ref": "luistorres/notebook9f9a311bbd", "kernel_id": "216879"}, {"ref": "mohitsd/test1", "kernel_id": "186217"}, {"ref": "mohitsd/notebook2961c19f4e", "kernel_id": "186220"}, {"ref": "mohitsd/testing", "kernel_id": "227264"}, {"ref": "mohitsd/notebooke5cce410dd", "kernel_id": "227259"}, {"ref": "dolremi/full-preprocessing-tutorial", "kernel_id": "179191"}, {"ref": "wiseguy/exploratory-data-analysis", "kernel_id": "176264"}, {"ref": "wiseguy/full-preprocessing-tutorial-5a7dad2b", "kernel_id": "176047"}, {"ref": "wiseguy/full-preprocessing-tutorial", "kernel_id": "173519"}, {"ref": "vbardiovsky/notebookfe3b6ddaa6", "kernel_id": "168940"}, {"ref": "oliviaa/full-preprocessing-tutorial", "kernel_id": "162256"}, {"ref": "phunghx/full-preprocessing-tutorial", "kernel_id": "178816"}, {"ref": "etheleon/full-preprocessing-tutorial", "kernel_id": "162616"}, {"ref": "yesufeng/full-preprocessing-tutorial", "kernel_id": "173964"}, {"ref": "yesufeng/full-preprocessing-tutorial-5d93bf", "kernel_id": "188383"}, {"ref": "yesufeng/full-preprocessing-tutorial-531808", "kernel_id": "188386"}, {"ref": "aironashish/full-preprocessing-tutorial", "kernel_id": "166201"}, {"ref": "aironashish/notebook6237be06c3", "kernel_id": "163547"}, {"ref": "aironashish/notebook7191e99679", "kernel_id": "163550"}, {"ref": "aironashish/notebookce55e7b7fa", "kernel_id": "163555"}, {"ref": "aironashish/full-preprocessing-tutorial-c4645a24", "kernel_id": "177221"}, {"ref": "susruthagongalla/notebook7206cfc960", "kernel_id": "192531"}, {"ref": "selvaraj/full-preprocessing-tutorial", "kernel_id": "194075"}, {"ref": "selvaraj/first-pass-through-data-w-3d-convnet", "kernel_id": "189977"}, {"ref": "selvaraj/first-pass-through-data-w-3d-convnet-94f83d", "kernel_id": "189978"}, {"ref": "vagrawal/notebook0807a7ae99", "kernel_id": "203734"}, {"ref": "nutastray/full-preprocessing-tutorial", "kernel_id": "169880"}, {"ref": "etanitsbo/notebook34e262f53e", "kernel_id": "162173"}, {"ref": "salemameen/exploratory-analysis-visualization", "kernel_id": "161643"}, {"ref": "salemameen/loading-and-processing-the-sample-images", "kernel_id": "161711"}, {"ref": "salemameen/loading-and-processing-the-sample-images-51b95f96", "kernel_id": "161712"}, {"ref": "lantingguo/full-preprocessing-tutorial", "kernel_id": "166981"}, {"ref": "bpavlyshenko/notebookdb810c2980", "kernel_id": "170476"}, {"ref": "bpavlyshenko/nodules-segmentation", "kernel_id": "170507"}, {"ref": "danielrk/full-preprocessing-tutorial", "kernel_id": "169756"}, {"ref": "eltoshan/full-preprocessing-tutorial", "kernel_id": "161906"}, {"ref": "phillymd/code-1", "kernel_id": "166566"}, {"ref": "mishmetall/full-preprocessing-tutorial-2f1acab5", "kernel_id": "165137"}, {"ref": "mishmetall/full-preprocessing-tutorial", "kernel_id": "165101"}, {"ref": "s1syphus/full-preprocessing-tutorial", "kernel_id": "160905"}, {"ref": "oopsdog/full-preprocessing-tutorial", "kernel_id": "170604"}, {"ref": "oopsdog/full-preprocessing-tutorial-9c8c9d45", "kernel_id": "172417"}, {"ref": "khandu/full-preprocessing-tutorial", "kernel_id": "173870"}, {"ref": "palicand/full-preprocessing-tutorial-bf42aa62", "kernel_id": "163620"}, {"ref": "palicand/full-preprocessing-tutorial", "kernel_id": "162848"}, {"ref": "sh1ngg/improved-lung-segmentation-using-watershed", "kernel_id": "175106"}, {"ref": "blchen/full-preprocessing-tutorial", "kernel_id": "160172"}, {"ref": "noruen/lb-0-56130-resnet50-features-xgboost", "kernel_id": "176494"}, {"ref": "noruen/candidate-generation-and-luna16-preprocessing", "kernel_id": "178581"}, {"ref": "festa78/exploratory-data-analysis", "kernel_id": "176325"}, {"ref": "chomchomtron/notebookc8ef42dc5f", "kernel_id": "208640"}, {"ref": "chomchomtron/notebook75c9f1ce5f", "kernel_id": "208373"}, {"ref": "amalhotra/exploratory-data-analysis", "kernel_id": "160960"}, {"ref": "viorelchelaru/notebookdf6ddfeafb", "kernel_id": "161874"}, {"ref": "jackiechen/notebook1c811e624a", "kernel_id": "158963"}, {"ref": "sjfwagner/full-preprocessing-tutorial", "kernel_id": "176850"}, {"ref": "sjfwagner/full-preprocessing-tutorial-87b327c9", "kernel_id": "176852"}, {"ref": "sjfwagner/exploratory-data-analysis", "kernel_id": "176854"}, {"ref": "pappukrjha/data-bowl-sample-data-exploration", "kernel_id": "163548"}, {"ref": "jianminsun/exploratory-data-analysis", "kernel_id": "158812"}, {"ref": "deepsreddy/ctlung-data-full-preprocessing-tutorial", "kernel_id": "163148"}, {"ref": "deepsreddy/full-preprocessing-tutorial", "kernel_id": "163144"}, {"ref": "divakardass/notebooke72d389971", "kernel_id": "180427"}, {"ref": "hamelg/exploratory-analysis", "kernel_id": "159358"}, {"ref": "hamelg/testing-1", "kernel_id": "158675"}, {"ref": "mzacks/test1-1", "kernel_id": "223735"}, {"ref": "mzacks/notebook85698dbc69", "kernel_id": "223738"}, {"ref": "bcottman/notebook612478de61", "kernel_id": "201546"}, {"ref": "neich10/full-preprocessing-tutorial", "kernel_id": "178520"}, {"ref": "jerryflying/the-perfect-score-script", "kernel_id": "182717"}, {"ref": "jerryflying/full-preprocessing-tutorial", "kernel_id": "193096"}, {"ref": "jerryflying/the-perfect-score-script-7ef0a4", "kernel_id": "186244"}, {"ref": "fainman/notebook42b9f38eb2", "kernel_id": "160891"}, {"ref": "fainman/full-preprocessing-tutorial", "kernel_id": "161064"}, {"ref": "fainman/full-preprocessing-tutorial-b3d7c4c6", "kernel_id": "161085"}, {"ref": "cjalbanese/full-preprocessing-tutorial", "kernel_id": "162952"}, {"ref": "pradeeptatiraju/full-preprocessing-tutorial", "kernel_id": "160776"}, {"ref": "weifengshe/full-preprocessing-tutorial", "kernel_id": "160029"}, {"ref": "paolob/candidate-generation-and-luna16-preprocessing", "kernel_id": "181105"}, {"ref": "llopez/first-pass-through-data-w-3d-convnet", "kernel_id": "190147"}, {"ref": "llopez/full-preprocessing-tutorial", "kernel_id": "190058"}, {"ref": "vladimirmilushev/full-preprocessing-tutorial", "kernel_id": "191717"}, {"ref": "elliotw/full-preprocessing-tutorial", "kernel_id": "162466"}, {"ref": "elliotw/full-preprocessing-tutorial-aa268ba1", "kernel_id": "162642"}, {"ref": "nahata5/full-preprocessing-tutorial", "kernel_id": "187330"}, {"ref": "tadarsh/full-preprocessing-tutorial-fc5ce240", "kernel_id": "168558"}, {"ref": "tadarsh/full-preprocessing-tutorial", "kernel_id": "168550"}, {"ref": "tadarsh/full-preprocessing-tutorial-0d574223", "kernel_id": "168553"}, {"ref": "romualdj/full-preprocessing-tutorial", "kernel_id": "162766"}, {"ref": "shweta9996/experiment-1", "kernel_id": "214969"}, {"ref": "shweta9996/experiment1", "kernel_id": "214979"}, {"ref": "joanfihu/full-preprocessing-tutorial", "kernel_id": "179296"}, {"ref": "dalgacik/notebookd478a6be45", "kernel_id": "160833"}, {"ref": "catogonzalez/full-preprocessing-tutorial-test", "kernel_id": "193429"}, {"ref": "thawatt/the-perfect-score-script", "kernel_id": "164650"}, {"ref": "yuqingxue/exploratory-data-analysis", "kernel_id": "159556"}, {"ref": "fionnan/full-preprocessing-tutorial", "kernel_id": "160726"}, {"ref": "josibake/notebook3b05e393f0", "kernel_id": "161165"}, {"ref": "alanhu/the-perfect-score-script", "kernel_id": "164089"}, {"ref": "dmatwork/full-preprocessing-tutorial", "kernel_id": "177969"}, {"ref": "dmatwork/uniform-dimension-low-resolution-jpeg-generation", "kernel_id": "186241"}, {"ref": "zhengjunli/full-preprocessing-tutorial", "kernel_id": "173543"}, {"ref": "zhengjunli/mxnet-xgboost-baseline-lb-0-57", "kernel_id": "172787"}, {"ref": "chenjx1005/notebooka46c32e095", "kernel_id": "164196"}, {"ref": "sushantmagoo/resn123", "kernel_id": "173527"}, {"ref": "rdatascientist/notebookf26679ea63", "kernel_id": "222562"}, {"ref": "czhong/first-pass-through-data-w-3d-convnet", "kernel_id": "185014"}, {"ref": "ahmedmohamedou/the-perfect-score-script", "kernel_id": "163208"}, {"ref": "ahmedmohamedou/full-preprocessing-tutorial", "kernel_id": "160212"}, {"ref": "nameyy/full-preprocessing-tutorial", "kernel_id": "177033"}, {"ref": "guyeng/notebook63f30216b9", "kernel_id": "208771"}, {"ref": "malr87/full-preprocessing-tutorial-025a22f6", "kernel_id": "162147"}, {"ref": "malr87/lung-segmentation", "kernel_id": "162643"}, {"ref": "malr87/full-preprocessing-tutorial", "kernel_id": "160134"}, {"ref": "abhisheknagarjuna/notebooke9f06f8ee0", "kernel_id": "162300"}, {"ref": "fazlerabbi/notebook41e702800b", "kernel_id": "161386"}, {"ref": "prashantmahesh/notebook4c881012bc", "kernel_id": "195604"}, {"ref": "greenmtn/full-preprocessing-tutorial", "kernel_id": "186735"}, {"ref": "daoudchahor/notebook773df5d9ed", "kernel_id": "170023"}, {"ref": "rishabhr0y/improved-lung-segmentation-using-watershed", "kernel_id": "192999"}, {"ref": "johnny1899/image-processing", "kernel_id": "172790"}, {"ref": "johnny1899/improved-lung-segmentation-using-watershed", "kernel_id": "172750"}, {"ref": "johnny1899/xgboost-0-55", "kernel_id": "163668"}, {"ref": "johnny1899/neural-network-1", "kernel_id": "163697"}, {"ref": "johnny1899/full-preprocessing-tutorial", "kernel_id": "179358"}, {"ref": "johnny1899/my-xgboost-with-som-and-neural-net", "kernel_id": "193502"}, {"ref": "johnny1899/the-perfect-score-script", "kernel_id": "192629"}, {"ref": "kaggle446/exploratory-data-analysis-5fe0439d", "kernel_id": "165861"}, {"ref": "kaggle446/exploratory-data-analysis-f3eb5c0f", "kernel_id": "163988"}, {"ref": "kaggle446/exploratory-data-analysis", "kernel_id": "163083"}, {"ref": "kaggle446/exploratory-data-analysis-194639b1", "kernel_id": "163086"}, {"ref": "kaggle446/notebookf0b4f99f24", "kernel_id": "170825"}, {"ref": "kaggle446/improved-lung-segmentation-using-watershed", "kernel_id": "170380"}, {"ref": "robertbunn/full-preprocessing-tutorial", "kernel_id": "195300"}, {"ref": "dbroadhead/notebookd1e4a154a3", "kernel_id": "217013"}, {"ref": "dbroadhead/notebook6a4d2ffbb3", "kernel_id": "215833"}, {"ref": "benjamm/full-preprocessing-tutorial", "kernel_id": "160804"}, {"ref": "anji2727/full-preprocessing-tutorial", "kernel_id": "162856"}, {"ref": "dmenin/image-animation", "kernel_id": "172601"}, {"ref": "chilam/first-pass-through-data-w-3d-convnet", "kernel_id": "181041"}, {"ref": "nikcheerla/full-preprocessing-tutorial", "kernel_id": "188085"}, {"ref": "seanpj/exploratory-analysis", "kernel_id": "158843"}, {"ref": "fcivardi/full-preprocessing-tutorial-ce8493", "kernel_id": "197005"}, {"ref": "fcivardi/full-preprocessing-tutorial", "kernel_id": "161437"}, {"ref": "fcivardi/full-preprocessing-tutorial-e3d62d38", "kernel_id": "161449"}, {"ref": "psahoo/data-exploration-1", "kernel_id": "159154"}, {"ref": "psahoo/average-submission", "kernel_id": "159282"}, {"ref": "psahoo/eda-test", "kernel_id": "159289"}, {"ref": "goldendomer/full-preprocessing-tutorial", "kernel_id": "176307"}, {"ref": "kgjkgj/experiments-using-r-raster-clumping", "kernel_id": "179240"}, {"ref": "fmeyerzudrie/exploratory-data-analysis", "kernel_id": "160768"}, {"ref": "fmeyerzudrie/full-preprocessing-tutorial", "kernel_id": "160818"}, {"ref": "shantanus/full-preprocessing-tutorial", "kernel_id": "167360"}, {"ref": "napitupulujon/tes-me", "kernel_id": "161554"}, {"ref": "napitupulujon/full-preprocessing-tutorial", "kernel_id": "162479"}, {"ref": "simorgh1/full-preprocessing-tutorial", "kernel_id": "165424"}, {"ref": "invenio/full-preprocessing-tutorial", "kernel_id": "161317"}, {"ref": "dongwang7/first-pass-through-data-w-3d-convnet", "kernel_id": "195859"}, {"ref": "dataproam/code123", "kernel_id": "166959"}, {"ref": "nelmaya/first-pass-through-data-w-3d-convnet", "kernel_id": "183632"}, {"ref": "nelmaya/full-preprocessing-tutorial-d66d9912", "kernel_id": "173586"}, {"ref": "nelmaya/full-preprocessing-tutorial-c4c66e85", "kernel_id": "172809"}, {"ref": "nelmaya/full-preprocessing-tutorial-0e15889f", "kernel_id": "172807"}, {"ref": "nelmaya/the-perfect-score-script", "kernel_id": "172814"}, {"ref": "nelmaya/full-preprocessing-tutorial-783679f4", "kernel_id": "172816"}, {"ref": "nelmaya/lung-segmentation-and-candidate-points-generation", "kernel_id": "172811"}, {"ref": "nelmaya/full-preprocessing-tutorial", "kernel_id": "169965"}, {"ref": "nelmaya/full-preprocessing-tutorial-cd6720b6", "kernel_id": "169968"}, {"ref": "nelmaya/improved-lung-segmentation-using-watershed", "kernel_id": "169977"}, {"ref": "nelmaya/first-pass-through-data-w-3d-convnet-e35ec1", "kernel_id": "184668"}, {"ref": "sk413025/notebook6f97665fb4", "kernel_id": "164208"}, {"ref": "neilzhang/data-science-bowl-2017", "kernel_id": "186866"}, {"ref": "vikasrkm/notebook352131980c", "kernel_id": "196687"}, {"ref": "vikasrkm/notebook9a881f6f61", "kernel_id": "196688"}, {"ref": "peterabdou/first-pass-through-data-w-3d-convnet", "kernel_id": "195699"}, {"ref": "peterabdou/submission1", "kernel_id": "184547"}, {"ref": "peterabdou/learning", "kernel_id": "184315"}, {"ref": "peterabdou/learning-from-pre-processing", "kernel_id": "189709"}, {"ref": "peterabdou/learn-about-a-patient", "kernel_id": "189721"}, {"ref": "peterabdou/notebook84b50ddea4", "kernel_id": "189723"}, {"ref": "peterabdou/learn-from-sentdex", "kernel_id": "192970"}, {"ref": "peterabdou/learning-from-sentdex", "kernel_id": "192832"}, {"ref": "peterabdou/notebooka210957c28", "kernel_id": "183476"}, {"ref": "peterabdou/notebook995a5b93ed", "kernel_id": "181208"}, {"ref": "xueweuchen/notebookbf0c796416", "kernel_id": "161350"}, {"ref": "gkoehler/full-preprocessing-tutorial", "kernel_id": "164559"}, {"ref": "jyanstark/notebook6e8b42e4de", "kernel_id": "176925"}, {"ref": "jyanstark/full-preprocessing-tutorial", "kernel_id": "176927"}, {"ref": "jyanstark/asdfghjkl", "kernel_id": "176933"}, {"ref": "rainbow/notebook9297aa8227", "kernel_id": "161946"}, {"ref": "timmyy/first-try", "kernel_id": "206042"}, {"ref": "timmyy/notebooka09e334351", "kernel_id": "203876"}, {"ref": "timmyy/notebookc7525cffe2", "kernel_id": "203280"}, {"ref": "timmyy/notebookddfd4ed493", "kernel_id": "202125"}, {"ref": "timmyy/notebook11b7c85ee6", "kernel_id": "202129"}, {"ref": "timmyy/notebookfc80f48bab", "kernel_id": "202149"}, {"ref": "kingwang/full-preprocessing-tutorial", "kernel_id": "161934"}, {"ref": "karthikkumar/first-pass-through-data-w-3d-convnet", "kernel_id": "186857"}, {"ref": "karthikkumar/notebookd65f3b0769", "kernel_id": "186773"}, {"ref": "karthikkumar/notebook3285e86323", "kernel_id": "185344"}, {"ref": "karthikkumar/notebookef3d8067eb", "kernel_id": "178068"}, {"ref": "karthikkumar/notebookba9b35107e", "kernel_id": "178075"}, {"ref": "karthikkumar/tensorflow-tutorials", "kernel_id": "178900"}, {"ref": "karthikkumar/notebook40da818233", "kernel_id": "178862"}, {"ref": "michaelswan/notebookcb229c5acf", "kernel_id": "171793"}, {"ref": "marcinchilik/the-perfect-score-script", "kernel_id": "180515"}, {"ref": "terrypang/full-preprocessing-tutorial-e02f79bb", "kernel_id": "164811"}, {"ref": "terrypang/full-preprocessing-tutorial", "kernel_id": "164785"}, {"ref": "abhisheksinghbailoo/preprocess", "kernel_id": "165871"}, {"ref": "xyliu44/full-preprocessing-tutorial", "kernel_id": "180525"}, {"ref": "bunker/notebookb23be60feb", "kernel_id": "173840"}, {"ref": "jrubin/full-preprocessing-tutorial", "kernel_id": "175304"}, {"ref": "thiagomatos/full-preprocessing-tutorial", "kernel_id": "181520"}, {"ref": "pixixi/notebookda8c2fcae0", "kernel_id": "208845"}, {"ref": "briantcozzi/full-preprocessing-tutorial", "kernel_id": "162207"}, {"ref": "gospursgo/full-preprocessing-tutorial", "kernel_id": "179373"}, {"ref": "arthas/notebook3575c9977d", "kernel_id": "206220"}, {"ref": "tnilanon/test-01", "kernel_id": "205709"}, {"ref": "kendallgreene/notebook575cccadbe", "kernel_id": "181147"}, {"ref": "karmkons/full-preprocessing-tutorial", "kernel_id": "162812"}, {"ref": "josephkelly/full-preprocessing-tutorial", "kernel_id": "163497"}, {"ref": "ming861206/testscript", "kernel_id": "164119"}, {"ref": "ykg2992/full-preprocessing-tutorial", "kernel_id": "193741"}, {"ref": "yajasd/first-pass-through-data-w-3d-convnet", "kernel_id": "193544"}, {"ref": "yajasd/notebook88bd7f01fd", "kernel_id": "192719"}, {"ref": "snowhitiger/full-preprocessing-tutorial", "kernel_id": "162804"}, {"ref": "snowhitiger/the-perfect-score-script", "kernel_id": "163242"}, {"ref": "snowhitiger/lung-segmentation", "kernel_id": "166915"}, {"ref": "snowhitiger/notebook76d9e29433", "kernel_id": "169285"}, {"ref": "snowhitiger/notebooke31860a47c", "kernel_id": "169287"}, {"ref": "snowhitiger/improved-lung-segmentation-using-watershed", "kernel_id": "169144"}, {"ref": "snowhitiger/notebookdadf48152d", "kernel_id": "175399"}, {"ref": "javiertag/full-preprocessing-tutorial", "kernel_id": "170409"}, {"ref": "lvaleriu/test123", "kernel_id": "199365"}, {"ref": "reshsekar15/reading-dataset", "kernel_id": "160236"}, {"ref": "tezdhar/first-exploration", "kernel_id": "201272"}, {"ref": "skybirdhe/test1", "kernel_id": "175594"}, {"ref": "feeblerequest/full-preprocessing-tutorial", "kernel_id": "183285"}, {"ref": "maddula/full-preprocessing-tutorial", "kernel_id": "177884"}, {"ref": "maddula/full-preprocessing-tutorial-edit", "kernel_id": "177914"}, {"ref": "kanabo/full-preprocessing-tutorial", "kernel_id": "168160"}, {"ref": "kanabo/exploratory-analysis-visualization", "kernel_id": "168165"}, {"ref": "joncarlisle/full-preprocessing-tutorial", "kernel_id": "165273"}, {"ref": "feeldead/notebooka8d8b5ae8f", "kernel_id": "212887"}, {"ref": "hagarwal456/full-preprocessing-tutorial", "kernel_id": "192601"}, {"ref": "hagarwal456/loading-and-processing-the-sample-images", "kernel_id": "181447"}, {"ref": "ozgung/notebooka4fa1b042e", "kernel_id": "163760"}, {"ref": "ozgung/notebook75933cd23e", "kernel_id": "167357"}, {"ref": "piyushmadan/full-preprocessing-tutorial", "kernel_id": "176077"}, {"ref": "ryutek/full-preprocessing-tutorial", "kernel_id": "171070"}, {"ref": "aldavy/notebook516afdf2ca", "kernel_id": "164304"}, {"ref": "orkhan/full-preprocessing-tutorial", "kernel_id": "173503"}, {"ref": "juan001/full-preprocessing-tutorial", "kernel_id": "176913"}, {"ref": "vtsing/full-preprocessing-tutorial", "kernel_id": "163057"}, {"ref": "dfoozee/full-preprocessing-tutorial", "kernel_id": "235014"}, {"ref": "kenkoooo/first-pass-through-data-w-3d-convnet", "kernel_id": "188068"}, {"ref": "kenkoooo/notebookafa43865f3", "kernel_id": "188066"}, {"ref": "csgwon/notebook5257a3a571", "kernel_id": "158769"}, {"ref": "yifanma/notebook58804bb058", "kernel_id": "197422"}, {"ref": "yifanma/notebook5342e37ae5", "kernel_id": "195963"}, {"ref": "shypila/bkgsc", "kernel_id": "162650"}, {"ref": "bahkoko/notebook897662a5ac", "kernel_id": "158851"}, {"ref": "sadhi009/full-preprocessing-tutorial", "kernel_id": "165831"}, {"ref": "leonob2014/full-preprocessing-tutorial", "kernel_id": "160146"}, {"ref": "suman12029/notebook7654562c4f", "kernel_id": "160041"}, {"ref": "jclemur/exploratory-data-analysis", "kernel_id": "159218"}, {"ref": "kambarakun/notebook75555a5ea0", "kernel_id": "160655"}, {"ref": "kambarakun/check-image-size-mm-length-of-dataset", "kernel_id": "170322"}, {"ref": "kambarakun/notebook027ef1b006", "kernel_id": "228696"}, {"ref": "sgetachew/samiamtest", "kernel_id": "164983"}, {"ref": "ninjacoders/notebookb6ca097127", "kernel_id": "187692"}, {"ref": "dhaehn/notebook6f4610c817", "kernel_id": "189428"}, {"ref": "tarekallamjr/full-preprocessing-tutorial", "kernel_id": "162537"}, {"ref": "tarekallamjr/notebook7dec67d771", "kernel_id": "158696"}, {"ref": "tuanavu/first-pass-through-data-w-3d-convnet", "kernel_id": "181430"}, {"ref": "tuanavu/full-preprocessing-tutorial", "kernel_id": "181432"}, {"ref": "yuenshome/my-first-script", "kernel_id": "203653"}, {"ref": "jianyuan/full-preprocessing-tutorial", "kernel_id": "180488"}, {"ref": "askelad/notebook3c859ce8d5", "kernel_id": "165032"}, {"ref": "yangchenghuang/full-preprocessing-tutorial", "kernel_id": "161927"}, {"ref": "thanhle/full-preprocessing-tutorial", "kernel_id": "167178"}, {"ref": "rashmi4261/notebook3836dc3736", "kernel_id": "170242"}, {"ref": "tungty/notebook65cc897655", "kernel_id": "167101"}, {"ref": "tungty/test-script", "kernel_id": "226067"}, {"ref": "ajpinar/full-preprocessing-tutorial", "kernel_id": "161039"}, {"ref": "ajpinar/notebook5e22e509a9", "kernel_id": "164965"}, {"ref": "keithkwok/full-preprocessing-tutorial", "kernel_id": "162277"}, {"ref": "saeed3/pre-processing", "kernel_id": "160189"}, {"ref": "saeed3/notebook46a8dbf9d5", "kernel_id": "172000"}, {"ref": "saeed3/notebook79e8be5e50", "kernel_id": "171989"}, {"ref": "saeed3/notebooke72b69ff14", "kernel_id": "171965"}, {"ref": "saeed3/lung-segmentation", "kernel_id": "164522"}, {"ref": "saeed3/notebook00c911996c", "kernel_id": "164545"}, {"ref": "saeed3/just-trying", "kernel_id": "198714"}, {"ref": "saeed3/saeed", "kernel_id": "196352"}, {"ref": "saeed3/notebook607809d2b6", "kernel_id": "228288"}, {"ref": "naivechen/notebook646ec734d0", "kernel_id": "201053"}, {"ref": "sowashuhei/full-preprocessing-tutorial", "kernel_id": "188750"}, {"ref": "jfarbman/notebookae84129e91", "kernel_id": "162923"}, {"ref": "shijy07/full-preprocessing-tutorial", "kernel_id": "174377"}, {"ref": "inlyze/exploratory-data-analysis", "kernel_id": "180566"}, {"ref": "inlyze/full-preprocessing-tutorial", "kernel_id": "180576"}, {"ref": "kasisam/full-preprocessing-tutorial", "kernel_id": "177066"}, {"ref": "syniuhin/full-preprocessing-tutorial", "kernel_id": "162497"}, {"ref": "syniuhin/full-preprocessing-tutorial-7a44500f", "kernel_id": "162731"}, {"ref": "syniuhin/exploratory-data-analysis", "kernel_id": "160101"}, {"ref": "nhejazi7/full-preprocessing-tutorial-5c14a9", "kernel_id": "188353"}, {"ref": "nhejazi7/full-preprocessing-tutorial", "kernel_id": "187736"}, {"ref": "janpannees/test-of-lung", "kernel_id": "180922"}, {"ref": "janpannees/notebookc13d482e3a", "kernel_id": "177023"}, {"ref": "justindeed/full-preprocessing-tutorial", "kernel_id": "178098"}, {"ref": "ajulian/notebook2ca2421902", "kernel_id": "185958"}, {"ref": "ajulian/full-preprocessing-tutorial", "kernel_id": "162775"}, {"ref": "shuyutang/notebook206900c8e1", "kernel_id": "164445"}, {"ref": "aesnau/optimization12", "kernel_id": "179249"}, {"ref": "scollins/notebookd18cf124e6", "kernel_id": "160121"}, {"ref": "almonds/full-preprocessing-tutorial", "kernel_id": "190054"}, {"ref": "ewang5/full-preprocessing-tutorial", "kernel_id": "168864"}, {"ref": "varunvarghese/full-preprocessing-tutorial", "kernel_id": "161476"}, {"ref": "emergent/full-preprocessing-tutorial", "kernel_id": "172958"}, {"ref": "paragkmital/full-preprocessing-tutorial", "kernel_id": "160566"}, {"ref": "paragkmital/exploring", "kernel_id": "159814"}, {"ref": "gzuidhof/full-preprocessing-tutorial", "kernel_id": "159905"}, {"ref": "gzuidhof/notebookdc4cde296f", "kernel_id": "159392"}, {"ref": "gzuidhof/notebook033abfe007", "kernel_id": "170025"}, {"ref": "nathaniel/full-preprocessing-tutorial", "kernel_id": "176152"}, {"ref": "nathaniel/improved-lung-segmentation-using-watershed", "kernel_id": "178041"}, {"ref": "nathaniel/lung-segmentation-wall-finding-testing", "kernel_id": "178043"}, {"ref": "nathaniel/data-science-bowl-2017-exploratory-code", "kernel_id": "177663"}, {"ref": "sk11jp/notebook11f052a4dd", "kernel_id": "171452"}, {"ref": "lamdang/notebookdc627636ca", "kernel_id": "159576"}, {"ref": "lamdang/exploratory-data-analysis", "kernel_id": "159577"}, {"ref": "lamdang/chest-cavity-animation-with-pacemaker", "kernel_id": "159594"}, {"ref": "duttaroy/candidate-generation-and-luna16-preprocessing", "kernel_id": "214485"}, {"ref": "duttaroy/optimization12", "kernel_id": "166606"}, {"ref": "duttaroy/optimized-script", "kernel_id": "164777"}, {"ref": "duttaroy/learning-from-the-perfect-score-script", "kernel_id": "164014"}, {"ref": "duttaroy/enhanced-w", "kernel_id": "183054"}, {"ref": "duttaroy/fast-exploratory-data-analysis-in-r", "kernel_id": "173951"}, {"ref": "duttaroy/resnet50-features-xgboost", "kernel_id": "162006"}, {"ref": "duttaroy/simple-dicom-viewer-notebook", "kernel_id": "160341"}, {"ref": "duttaroy/simple-dicom-viewer", "kernel_id": "160303"}, {"ref": "abrah89/exploratory-data-analysis", "kernel_id": "161049"}, {"ref": "abrah89/full-preprocessing-tutorial", "kernel_id": "161050"}, {"ref": "abrah89/full-preprocessing-tutorial-95245fb4", "kernel_id": "161068"}, {"ref": "carpedies/explorating-data", "kernel_id": "166364"}, {"ref": "joshbaker/notebook063f024daf", "kernel_id": "160312"}, {"ref": "kormilitzin/full-preprocessing-tutorial", "kernel_id": "165932"}, {"ref": "mochiliu/full-preprocessing-tutorial", "kernel_id": "191710"}, {"ref": "mark42/finding-leaderboard-labels-demo-implementation", "kernel_id": "163309"}, {"ref": "mark42/mark-s-exploration", "kernel_id": "163385"}, {"ref": "jacarpio/full-preprocessing-tutorial", "kernel_id": "176666"}, {"ref": "stevito/full-preprocessing-tutorial", "kernel_id": "168945"}, {"ref": "meyoung/slice-visualization-with-interactive-widgets", "kernel_id": "162375"}, {"ref": "meyoung/notebook40105133a8", "kernel_id": "159509"}, {"ref": "nanoix9/exploratory-data-analysis", "kernel_id": "209576"}, {"ref": "jacobkun/notebook8466c5c571", "kernel_id": "206312"}, {"ref": "bartko/notebook3a0e27fbf8", "kernel_id": "166301"}, {"ref": "joe8767/notebook5df3c54087", "kernel_id": "158784"}, {"ref": "yxrupc/candidate-generation-and-luna16-preprocessing", "kernel_id": "187993"}, {"ref": "yxrupc/first-pass-through-data-w-3d-convnet", "kernel_id": "187994"}, {"ref": "yxrupc/candidate-generation-and-luna16-preprocessi-6b4c53", "kernel_id": "188432"}, {"ref": "yxrupc/exploratory-data-analysis", "kernel_id": "188429"}, {"ref": "chenyanan/the-details", "kernel_id": "211164"}, {"ref": "hsnusonic/exploratory-data-analysis-51c1ef0b", "kernel_id": "159269"}, {"ref": "hsnusonic/exploratory-data-analysis", "kernel_id": "159249"}, {"ref": "hsnusonic/notebookd3c44c08fa", "kernel_id": "159264"}, {"ref": "rodenluo/my-test-script", "kernel_id": "172389"}, {"ref": "rodenluo/full-preprocessing-tutorial-forked", "kernel_id": "172393"}, {"ref": "rodenluo/crop-save-and-view-nodules-in-3d", "kernel_id": "209166"}, {"ref": "igwilson/1-6-segmentation", "kernel_id": "209880"}, {"ref": "igwilson/notebook739aefaf95", "kernel_id": "209687"}, {"ref": "igwilson/notebook506d02cb1e", "kernel_id": "209704"}, {"ref": "igwilson/1-5-parameter", "kernel_id": "209708"}, {"ref": "igwilson/1-4-masking-and-transforming", "kernel_id": "192966"}, {"ref": "mtfall/my-idea-for-lung-segmentation", "kernel_id": "223425"}, {"ref": "lixx11/full-preprocessing-tutorial", "kernel_id": "160636"}, {"ref": "vanausloos/first-pass-through-data-w-3d-convnet", "kernel_id": "186507"}, {"ref": "vanausloos/cntk-and-lightgbm-quick-start-and-resnet-152", "kernel_id": "175746"}, {"ref": "vanausloos/mxnet-xgboost-baseline-lb-0-57-xav", "kernel_id": "163120"}, {"ref": "vanausloos/overfitting-the-leaderboard", "kernel_id": "163124"}, {"ref": "vanausloos/exploratory-data-analysis-5337cba0", "kernel_id": "167954"}, {"ref": "vanausloos/exploratory-data-analysis", "kernel_id": "167920"}, {"ref": "vanausloos/full-preprocessing-tutorial-4b5a90cf", "kernel_id": "168661"}, {"ref": "vanausloos/exploratory-data-analysis-adapted-from-anokas", "kernel_id": "168611"}, {"ref": "vanausloos/full-preprocessing-tutorial", "kernel_id": "161342"}, {"ref": "tanuj12345/notebookfe1c8f138f", "kernel_id": "236280"}, {"ref": "tanuj12345/notebook28ec3ee02b", "kernel_id": "267240"}, {"ref": "shuangsong/full-preprocessing-tutorial", "kernel_id": "160623"}, {"ref": "shuangsong/explore-digital-imaging-and-communications-in-med", "kernel_id": "160564"}, {"ref": "ramirojc/full-preprocessing-tutorial", "kernel_id": "162967"}, {"ref": "probe301/first-pass-through-data-w-3d-convnet", "kernel_id": "185889"}, {"ref": "probe301/exploratory-data-analysis", "kernel_id": "165441"}, {"ref": "probe301/full-preprocessing-tutorial", "kernel_id": "165442"}, {"ref": "probe301/exploratory-analysis-visualization", "kernel_id": "165444"}, {"ref": "jerrythomas/full-preprocessing-tutorial", "kernel_id": "163140"}, {"ref": "jerrythomas/the-perfect-score-script", "kernel_id": "163174"}, {"ref": "nscherf/full-preprocessing-tutorial", "kernel_id": "173630"}, {"ref": "nscherf/exploratory-data-analysis-2", "kernel_id": "173632"}, {"ref": "pelham/fast-exploratory-data-analysis-in-r", "kernel_id": "162818"}, {"ref": "pelham/full-preprocessing-tutorial", "kernel_id": "164298"}, {"ref": "mfkhan1994/my-first", "kernel_id": "165009"}, {"ref": "teckyian/notebook7b6d5885d2", "kernel_id": "168177"}, {"ref": "gimix040/notebooka3576c679c", "kernel_id": "210577"}, {"ref": "gimix040/notebook41e02a7a70", "kernel_id": "162632"}, {"ref": "buggycode/script", "kernel_id": "164361"}, {"ref": "tayfurr/full-preprocessing-tutorial", "kernel_id": "190777"}, {"ref": "augusto/notebook3c1ade92e3", "kernel_id": "160008"}, {"ref": "noallynoclan/notebook04157de51f", "kernel_id": "186059"}, {"ref": "hakeem/optimization12", "kernel_id": "173859"}, {"ref": "chechir/exploratory-data-analysis-mean-something", "kernel_id": "159207"}, {"ref": "camwam/full-preprocessing-tutorial", "kernel_id": "160489"}, {"ref": "santhanam/full-preprocessing-tutorial", "kernel_id": "174531"}, {"ref": "santhanam/full-preprocessing-tutorial-f4e1d11f", "kernel_id": "174695"}, {"ref": "gfilla/full-preprocessing-tutorial", "kernel_id": "162038"}, {"ref": "madmlscientist/full-preprocessing-tutorial", "kernel_id": "168255"}, {"ref": "rehband/exploratory-analysis", "kernel_id": "159551"}, {"ref": "rentzso/notebook0cfc9f47d2", "kernel_id": "165772"}, {"ref": "nickanderson94/exploratory-data-analysis-6efb5723", "kernel_id": "159262"}, {"ref": "nickanderson94/exploratory-data-analysis", "kernel_id": "159260"}, {"ref": "ragu26/the-perfect-score-script", "kernel_id": "177466"}, {"ref": "chikenfeet/full-preprocessing-tutorial-7ffae7f2", "kernel_id": "163939"}, {"ref": "chikenfeet/full-preprocessing-tutorial", "kernel_id": "163910"}, {"ref": "chikenfeet/notebook67040be5c0", "kernel_id": "158852"}, {"ref": "carlagil/full-preprocessing-tutorial", "kernel_id": "164130"}, {"ref": "linseykim/notebook9fb308cd39", "kernel_id": "202118"}, {"ref": "farewell3333/full-preprocessing-tutorial", "kernel_id": "167557"}, {"ref": "razvanpistolea/full-preprocessing-tutorial", "kernel_id": "161875"}, {"ref": "riverfish/notebook04207f43ee", "kernel_id": "163445"}, {"ref": "tonyabracadabra/full-preprocessing-tutorial", "kernel_id": "183211"}, {"ref": "kianoosh/lung-cancer-full-preprocessing-tutorial", "kernel_id": "166084"}, {"ref": "edwinshi/first-pass-through-data-w-3d-convnet-3d98e9", "kernel_id": "190525"}, {"ref": "edwinshi/first-pass-through-data-w-3d-convnet", "kernel_id": "190521"}, {"ref": "edwinshi/notebookd8607e009b", "kernel_id": "192705"}, {"ref": "dianacmm/full-preprocessing-tutorial-5e85af3c", "kernel_id": "172524"}, {"ref": "dianacmm/full-preprocessing-tutorial", "kernel_id": "171160"}, {"ref": "dianacmm/full-preprocessing-tutorial-0fd05068", "kernel_id": "180907"}, {"ref": "dianacmm/full-preprocessing-tutorial-d307e55e", "kernel_id": "179289"}, {"ref": "dianacmm/full-preprocessing-tutorial-6574e0a2", "kernel_id": "178869"}, {"ref": "dianacmm/full-preprocessing-tutorial-470766", "kernel_id": "184541"}, {"ref": "yulteq/notebookc5b43b0b32", "kernel_id": "173687"}, {"ref": "thedojo/first-pass-through-data-w-3d-convnet", "kernel_id": "194917"}, {"ref": "thedojo/exploratory-data-analysis", "kernel_id": "185220"}, {"ref": "thedojo/exploratory-data-analysis-c2da76", "kernel_id": "185223"}, {"ref": "thedojo/full-preprocessing-tutorial-3e76ee", "kernel_id": "185189"}, {"ref": "thedojo/full-preprocessing-tutorial-745ba8", "kernel_id": "185167"}, {"ref": "thedojo/full-preprocessing-tutorial", "kernel_id": "185140"}, {"ref": "blackcore/beto1", "kernel_id": "161991"}, {"ref": "blackcore/resnet50-features-xgboost", "kernel_id": "161057"}, {"ref": "ravidparikh/first-pass-through-data-w-3d-convnet", "kernel_id": "184252"}, {"ref": "rmchamberlain/dicom-to-3d-numpy-arrays", "kernel_id": "159359"}, {"ref": "sakvaua/slice-visualization-with-interactive-widgets", "kernel_id": "160357"}, {"ref": "zvekan/full-preprocessing-tutorial", "kernel_id": "160927"}, {"ref": "zvekan/full-preprocessing-tutorial-be1d798e", "kernel_id": "161907"}, {"ref": "rrp9999/notebook84c1daefa3", "kernel_id": "200509"}, {"ref": "olegtrott/the-perfect-score-script", "kernel_id": "163019"}, {"ref": "jmlearn/full-preprocessing-tutorial-7871801d", "kernel_id": "169639"}, {"ref": "jmlearn/full-preprocessing-tutorial", "kernel_id": "169634"}, {"ref": "jyotiislam/notebook8b1e232925", "kernel_id": "240788"}, {"ref": "jyotiislam/something", "kernel_id": "240791"}, {"ref": "jyotiislam/full-preprocessing-tutorial", "kernel_id": "203123"}, {"ref": "jyotiislam/candidate-generation-and-luna16-preprocessing", "kernel_id": "203115"}, {"ref": "pangyuteng/holasenio", "kernel_id": "224950"}, {"ref": "pangyuteng/notebook746dd2ed76", "kernel_id": "170807"}, {"ref": "dholovatyi/test1", "kernel_id": "160206"}, {"ref": "dholovatyi/notebookd7a25cf43f", "kernel_id": "160207"}, {"ref": "nidhiangle94/notebookb3b3696c92", "kernel_id": "233446"}, {"ref": "plasmacoder210/the-perfect-score-script", "kernel_id": "173404"}, {"ref": "srrobert50/full-preprocessing-tutorial", "kernel_id": "176615"}, {"ref": "maver1ck/first-pass-through-data-w-3d-convnet", "kernel_id": "185986"}, {"ref": "maver1ck/full-preprocessing-tutorial-8726f49c", "kernel_id": "176334"}, {"ref": "maver1ck/candidate-generation-and-luna16-preprocessing", "kernel_id": "176190"}, {"ref": "maver1ck/full-preprocessing-tutorial-b7528736", "kernel_id": "166443"}, {"ref": "maver1ck/full-preprocessing-tutorial-1550b212", "kernel_id": "166422"}, {"ref": "maver1ck/full-preprocessing-tutorial-9c539904", "kernel_id": "164032"}, {"ref": "maver1ck/full-preprocessing-tutorial-65b8bdd5", "kernel_id": "164042"}, {"ref": "maver1ck/the-perfect-score-script", "kernel_id": "164043"}, {"ref": "maver1ck/full-preprocessing-tutorial", "kernel_id": "163579"}, {"ref": "alokas/exploratory-data-analysis", "kernel_id": "158978"}, {"ref": "sionek/chest-cavity-animation-with-pacemaker", "kernel_id": "162950"}, {"ref": "manu92/full-preprocessing-tutorial", "kernel_id": "171118"}, {"ref": "richardkurle/full-preprocessing-tutorial", "kernel_id": "194470"}, {"ref": "ser080/exploratory-data-analysis", "kernel_id": "159834"}, {"ref": "ser080/full-preprocessing-tutorial", "kernel_id": "160601"}, {"ref": "rjbashar/the-perfect-score-script", "kernel_id": "163508"}, {"ref": "rjbashar/notebook1a55de0d00", "kernel_id": "161151"}, {"ref": "gaomrx/notebook3d69534908", "kernel_id": "174114"}, {"ref": "gaomrx/exploratory-analysis-visualization", "kernel_id": "176131"}, {"ref": "paulfornia/first-pass-through-data-w-3d-convnet", "kernel_id": "182223"}, {"ref": "paulfornia/full-preprocessing-tutorial", "kernel_id": "161046"}, {"ref": "wujy128/notebookcdddf73497", "kernel_id": "162839"}, {"ref": "opi133/notebooke7a3a64291", "kernel_id": "186516"}, {"ref": "opi133/first-pass-through-data-w-3d-convnet", "kernel_id": "188841"}, {"ref": "tarunparmar/dsb2017-basic-data-exploration-r-notebook", "kernel_id": "161288"}, {"ref": "chriskamphuis/notebook21e2cd89e0", "kernel_id": "159213"}, {"ref": "nitropig/notebookf904352418", "kernel_id": "166181"}, {"ref": "nitropig/the-perfect-score-script", "kernel_id": "164150"}, {"ref": "munishbhardwaj/notebookf8ca3ef948", "kernel_id": "164882"}, {"ref": "ericdoug/full-preprocessing-tutorial-34be2e", "kernel_id": "297208"}, {"ref": "muxuezi/notebooka6ba4bb09d", "kernel_id": "181467"}, {"ref": "gerasev/the-perfect-score-script", "kernel_id": "163427"}, {"ref": "theseano/notebook5f549bf4b8", "kernel_id": "163863"}, {"ref": "nanu146/full-preprocessing-tutorial", "kernel_id": "194244"}, {"ref": "owenvallis/full-preprocessing-tutorial", "kernel_id": "163989"}, {"ref": "olddrill/notebook71c7b0e7e5", "kernel_id": "178115"}, {"ref": "akh64bit/loading-and-processing-the-sample-images", "kernel_id": "159165"}, {"ref": "akh64bit/exploratory-data-analysis", "kernel_id": "159166"}, {"ref": "akh64bit/exploratory-data-analysis-17faf3a9", "kernel_id": "159182"}, {"ref": "akh64bit/full-preprocessing-tutorial", "kernel_id": "162425"}, {"ref": "akh64bit/lung-segmentation", "kernel_id": "164188"}, {"ref": "akh64bit/overfitting-the-leaderboard", "kernel_id": "164516"}, {"ref": "akh64bit/the-perfect-score-script", "kernel_id": "164546"}, {"ref": "akh64bit/the-perfect-score-script-f23169e1", "kernel_id": "165272"}, {"ref": "akh64bit/lung-segmentation-b1fd060c", "kernel_id": "167746"}, {"ref": "akh64bit/full-preprocessing-tutorial-5b9e82", "kernel_id": "194420"}, {"ref": "yinanxu/notebook2ecf071aee", "kernel_id": "166877"}, {"ref": "yinanxu/full-preprocessing-tutorial", "kernel_id": "166879"}, {"ref": "daij1492/notebook51e61def6b", "kernel_id": "170099"}, {"ref": "daij1492/notebook783b80c351", "kernel_id": "170101"}, {"ref": "daij1492/preprocess-test", "kernel_id": "202621"}, {"ref": "amezet/full-preprocessing-tutorial", "kernel_id": "168069"}, {"ref": "prashanthbc/full-preprocessing-tutorial", "kernel_id": "161348"}, {"ref": "jpoles1/notebookaf391ba24d", "kernel_id": "159369"}, {"ref": "silviomoreto/lung-segmentation-and-candidate-points-generation", "kernel_id": "173011"}, {"ref": "drsaupton/notebooke0873abdee", "kernel_id": "240567"}, {"ref": "drsaupton/notebook288f2ba223", "kernel_id": "240568"}, {"ref": "joshiaseam/full-preprocessing-tutorial", "kernel_id": "161623"}, {"ref": "kltduong/exploratory-data-analysis", "kernel_id": "159702"}, {"ref": "pavan4/full-preprocessing-tutorial", "kernel_id": "189910"}, {"ref": "pavan4/first-pass-through-data-w-3d-convnet", "kernel_id": "189939"}, {"ref": "vignesh8491/notebook3340e485c0", "kernel_id": "159868"}, {"ref": "cokeman/notebook43696b2398", "kernel_id": "172584"}, {"ref": "masongardner/full-preprocessing-tutorial", "kernel_id": "168125"}, {"ref": "sendel/full-preprocessing-tutorial", "kernel_id": "188609"}, {"ref": "merlin101/rf-v1", "kernel_id": "225420"}, {"ref": "sr71nighthawk/notebook78e0ea1cb6", "kernel_id": "176308"}, {"ref": "sr71nighthawk/notebook6a818ef98f", "kernel_id": "176947"}, {"ref": "sr71nighthawk/notebook9b9bab2724", "kernel_id": "177204"}, {"ref": "sr71nighthawk/notebookf563e3cc9c", "kernel_id": "161197"}, {"ref": "yogeshsinghrbt/first-pass-through-data-w-3d-convnet", "kernel_id": "187997"}, {"ref": "yogeshsinghrbt/first-pass-through-data-w-3d-convnet-82bb5fa8", "kernel_id": "188967"}, {"ref": "yogeshsinghrbt/first-pass-through-data-w-3d-convnet-459370", "kernel_id": "188968"}, {"ref": "yogeshsinghrbt/first-pass-through-data-w-3d-convnet-ce84b1", "kernel_id": "188955"}, {"ref": "yogeshsinghrbt/first-pass-through-data-w-3d-convnet-254250", "kernel_id": "188958"}, {"ref": "ghicheon/just-testing", "kernel_id": "204062"}, {"ref": "ghicheon/test-test-only", "kernel_id": "204064"}, {"ref": "mikell/the-perfect-score-script", "kernel_id": "171265"}, {"ref": "jacekkrawiec/first-attempt", "kernel_id": "199277"}, {"ref": "sambitnandi/full-preprocessing-tutorial", "kernel_id": "175278"}, {"ref": "sambitnandi/notebook81a8537ba2", "kernel_id": "172852"}, {"ref": "sambitnandi/notebookf441b6a258", "kernel_id": "172776"}, {"ref": "davissclark/notebook3e683c4432", "kernel_id": "200549"}, {"ref": "hamedmp/the-perfect-score-script", "kernel_id": "175110"}, {"ref": "hamedmp/full-preprocessing-tutorial", "kernel_id": "175111"}, {"ref": "hamedmp/improved-lung-segmentation-using-watershed", "kernel_id": "175112"}, {"ref": "shahejokarian/notebookab0569241e", "kernel_id": "228865"}, {"ref": "akiitd/full-preprocessing-tutorial", "kernel_id": "253634"}, {"ref": "fernandoramacciotti/notebookff39e81ea9", "kernel_id": "163809"}, {"ref": "hidy0503/full-preprocessing-tutorial-a43946", "kernel_id": "192339"}, {"ref": "hidy0503/full-preprocessing-tutorial-075f4c", "kernel_id": "186300"}, {"ref": "hidy0503/full-preprocessing-tutorial-75b23b25", "kernel_id": "183786"}, {"ref": "hidy0503/full-preprocessing-tutorial-a89c14", "kernel_id": "185618"}, {"ref": "hidy0503/exploratory-analysis-visualization", "kernel_id": "166323"}, {"ref": "hidy0503/full-preprocessing-tutorial", "kernel_id": "161136"}, {"ref": "hidy0503/u-net-segmentation-approach-to-cancer-diagnosis", "kernel_id": "161127"}, {"ref": "mdsfdwei1/notebook6b6914e723", "kernel_id": "161128"}, {"ref": "mdsfdwei1/excercise-on-exploratory-data-analysis", "kernel_id": "161102"}, {"ref": "mdsfdwei1/notebookeec0cc8420", "kernel_id": "160548"}, {"ref": "ddtt4u/chest-cavity-animation-with-pacemaker", "kernel_id": "159630"}, {"ref": "agavranis/lb-0-56130-resnet50-features-xgboost", "kernel_id": "160388"}, {"ref": "hselvaggi/notebook8e102eca49", "kernel_id": "201840"}, {"ref": "something4kag/full-preprocessing-tutorial", "kernel_id": "172350"}, {"ref": "feygingin/exploratory-analysis-visualization", "kernel_id": "167389"}, {"ref": "feygingin/full-preprocessing-tutorial", "kernel_id": "167322"}, {"ref": "leonardo711/notebooka9fd665c56", "kernel_id": "203497"}, {"ref": "leonardo711/notebook748920be8d", "kernel_id": "203503"}, {"ref": "chaotong/full-preprocessing-tutorial", "kernel_id": "170349"}, {"ref": "adegie/full-preprocessing-tutorial", "kernel_id": "182977"}, {"ref": "upperbounder/notebookd9b0811761", "kernel_id": "175400"}, {"ref": "iskander/notebook2b6aeeb4fc", "kernel_id": "174790"}, {"ref": "divyank/first-pass-through-data-w-3d-convnet", "kernel_id": "188582"}, {"ref": "divyank/first-pass-through-data-w-3d-convnet-5e7e23", "kernel_id": "191181"}, {"ref": "apapiu/exploratory-analysis-visualization", "kernel_id": "158718"}, {"ref": "zurfer/full-preprocessing-tutorial-for-the-samples", "kernel_id": "178881"}, {"ref": "alorozco53/first-pass-through-data-w-3d-convnet", "kernel_id": "194562"}, {"ref": "alorozco53/first-pass-through-data-w-3d-convnet-60d849", "kernel_id": "194596"}, {"ref": "bakhus/full-preprocessing-tutorial", "kernel_id": "163869"}, {"ref": "drn01z3/mxnet-xgboost-baseline-lb-0-57", "kernel_id": "159244"}, {"ref": "drn01z3/resnet50-features-xgboost", "kernel_id": "159437"}, {"ref": "tpgokul/test-run", "kernel_id": "164741"}, {"ref": "druidh/notebook1ac7dcc5fe", "kernel_id": "164623"}, {"ref": "hmshan/notebook1b1627ed23", "kernel_id": "159714"}, {"ref": "charleslu/first-pass-through-data-w-3d-convnet", "kernel_id": "189121"}, {"ref": "samsheff/the-perfect-score-script", "kernel_id": "183182"}, {"ref": "iamanonymous/exploratory-data-analysis", "kernel_id": "174184"}, {"ref": "iamanonymous/the-perfect-score-script", "kernel_id": "174179"}, {"ref": "kiranmavatoor/full-preprocessing-tutorial", "kernel_id": "166922"}, {"ref": "javaduke95/full-preprocessing-tutorial", "kernel_id": "169053"}, {"ref": "kingsway/notebooka1c1885d4c", "kernel_id": "218983"}, {"ref": "grosenf1/notebookfb0c70280c", "kernel_id": "208217"}, {"ref": "grosenf1/notebook3d94ca0da1", "kernel_id": "208227"}, {"ref": "lestatzhang/notebook15cb9cf6cd", "kernel_id": "225608"}, {"ref": "lestatzhang/notebook53194c8f84", "kernel_id": "221064"}, {"ref": "lestatzhang/notebookca48129d81", "kernel_id": "221068"}, {"ref": "lestatzhang/notebook6c4c754352", "kernel_id": "221169"}, {"ref": "tunguz/resnet50-features-xgboost", "kernel_id": "160188"}, {"ref": "tunguz/resnet50-features-xgboost-2", "kernel_id": "160273"}, {"ref": "vveerman/my-first-kernel", "kernel_id": "163726"}, {"ref": "vivek4/notebook93ce1da5f9", "kernel_id": "164624"}, {"ref": "gonzalodiaz/notebookd081e58c3c", "kernel_id": "159408"}, {"ref": "relleuch/full-preprocessing-tutorial", "kernel_id": "168263"}, {"ref": "mlaporte/full-preprocessing-tutorial", "kernel_id": "174813"}, {"ref": "phelkkula/full-preprocessing-tutorial", "kernel_id": "176819"}, {"ref": "richonlyne/full-preprocessing-tutorial", "kernel_id": "164933"}, {"ref": "nadavl/notebook620bd6bbcd", "kernel_id": "160079"}, {"ref": "yqwang/modified-tutorial", "kernel_id": "229444"}, {"ref": "jintgeorge/lungcancerdetection", "kernel_id": "181375"}, {"ref": "valerydanilik/notebookec78d53377", "kernel_id": "186152"}, {"ref": "colinji/improved-lung-segmentation-using-watershed", "kernel_id": "171392"}, {"ref": "colinji/full-preprocessing-tutorial", "kernel_id": "161108"}, {"ref": "colinji/exploratory-data-analysis-515ffeb5", "kernel_id": "159460"}, {"ref": "colinji/exploratory-data-analysis", "kernel_id": "159288"}, {"ref": "colinji/first-pass-through-data-w-3d-convnet-7d4ff4", "kernel_id": "189147"}, {"ref": "colinji/first-pass-through-data-w-3d-convnet", "kernel_id": "188334"}, {"ref": "cockapotamus/full-preprocessing-tutorial", "kernel_id": "185197"}, {"ref": "rbhambri/trial1-dec-2017", "kernel_id": "478422"}, {"ref": "tuzidog/candidate-generation-and-luna16-preprocessing", "kernel_id": "195354"}, {"ref": "achowd/notebook90d7e00f40", "kernel_id": "179420"}, {"ref": "eduardobarbaro/full-preprocessing-tutorial", "kernel_id": "163490"}, {"ref": "tkm2261/making-all-patient-s-pdfs-of-slice-images", "kernel_id": "199040"}, {"ref": "rodrigomalacarne/lb-0-56130-resnet50-features-xgboost", "kernel_id": "161168"}, {"ref": "vousmevoyez/notebook0811b683f0", "kernel_id": "163828"}, {"ref": "vousmevoyez/notebook22d2575ed4", "kernel_id": "163832"}, {"ref": "vousmevoyez/notebook3e4e0b0c6b", "kernel_id": "163835"}, {"ref": "fgmsu2014/notebookae05a83728", "kernel_id": "212812"}, {"ref": "mcolic/notebookf36a0bc85f", "kernel_id": "220524"}, {"ref": "bharathbk/notebook7c80216caa", "kernel_id": "169335"}, {"ref": "jokerljl/notebook2b2eb5f5d5", "kernel_id": "180811"}, {"ref": "pradnyeshjoshi/notebookc71fa1437b", "kernel_id": "203575"}, {"ref": "huzech/full-preprocessing-tutorial", "kernel_id": "181872"}, {"ref": "souravchoraria/data-exploration", "kernel_id": "234363"}, {"ref": "atamby1/notebookfd01507a01", "kernel_id": "160486"}, {"ref": "blackeagle911/the-perfect-score-script", "kernel_id": "163411"}, {"ref": "blackeagle911/notebook942e98400f", "kernel_id": "162451"}, {"ref": "blackeagle911/notebook0a5fc8d98b", "kernel_id": "162453"}, {"ref": "blackeagle911/exploratory-data-analysis", "kernel_id": "158854"}, {"ref": "blackeagle911/loading-and-processing-the-sample-images", "kernel_id": "158856"}, {"ref": "blackeagle911/exploratory-data-analysis-8ee17c29", "kernel_id": "158862"}, {"ref": "sylvesterchiang/notebook1579bd4e2b", "kernel_id": "209944"}, {"ref": "rtkhsu/notebook37b23386d7", "kernel_id": "188269"}, {"ref": "bankhv/notebook8a8db8e2ee", "kernel_id": "166754"}, {"ref": "bankhv/mxnet-xgboost-baseline-lb-0-57", "kernel_id": "166611"}, {"ref": "danieleewww/full-preprocessing-tutorial-a405d8", "kernel_id": "195457"}, {"ref": "danieleewww/candidate-generation-and-luna16-preprocessi-9eb7ac", "kernel_id": "195458"}, {"ref": "danieleewww/candidate-generation-and-luna16-preprocessi-2c7fe8", "kernel_id": "195459"}, {"ref": "danieleewww/3d-convolutional-neural-network-w-o-programming", "kernel_id": "195463"}, {"ref": "danieleewww/3d-convolutional-neural-network-w-o-program-3215af", "kernel_id": "195464"}, {"ref": "danieleewww/full-preprocessing-tutorial-2b4510", "kernel_id": "195455"}, {"ref": "danieleewww/full-preprocessing-tutorial-0a623b", "kernel_id": "195566"}, {"ref": "danieleewww/full-preprocessing-tutorial-2a7023", "kernel_id": "195567"}, {"ref": "danieleewww/3d-convolutional-neural-network-w-o-program-883ffd", "kernel_id": "195572"}, {"ref": "danieleewww/candidate-generation-and-luna16-preprocessi-e41e66", "kernel_id": "196826"}, {"ref": "danieleewww/first-pass-through-data-w-3d-convnet-887302", "kernel_id": "185872"}, {"ref": "danieleewww/first-pass-through-data-w-3d-convnet-ad7db6", "kernel_id": "185855"}, {"ref": "danieleewww/full-preprocessing-tutorial-2f92a05a", "kernel_id": "172686"}, {"ref": "danieleewww/loading-and-processing-the-sample-images-2fe8b78b", "kernel_id": "171489"}, {"ref": "danieleewww/full-preprocessing-tutorial-13a602e1", "kernel_id": "169784"}, {"ref": "danieleewww/improved-lung-segmentation-using-watershed", "kernel_id": "168269"}, {"ref": "danieleewww/ds-bowl-review-u-net-segmentation-tutorial", "kernel_id": "169254"}, {"ref": "danieleewww/loading-and-processing-the-sample-images", "kernel_id": "169225"}, {"ref": "danieleewww/video-with-lungs-in-3-axes-notebook", "kernel_id": "169035"}, {"ref": "danieleewww/full-preprocessing-tutorial", "kernel_id": "165610"}, {"ref": "danieleewww/exploratory-data-analysis", "kernel_id": "165612"}, {"ref": "danieleewww/exploratory-data-analysis-c73cedc9", "kernel_id": "165625"}, {"ref": "danieleewww/full-preprocessing-tutorial-33657eb3", "kernel_id": "166972"}, {"ref": "danieleewww/first-pass-through-data-w-3d-convnet", "kernel_id": "179532"}, {"ref": "danieleewww/first-pass-through-data-w-3d-convnet-84be7e73", "kernel_id": "179533"}, {"ref": "danieleewww/the-perfect-score-script", "kernel_id": "179530"}, {"ref": "danieleewww/first-pass-through-data-w-3d-convnet-e8263ab5", "kernel_id": "182247"}, {"ref": "danieleewww/candidate-generation-and-luna16-preprocessing", "kernel_id": "177232"}, {"ref": "bcarrier/full-preprocessing-tutorial", "kernel_id": "167996"}, {"ref": "bharathballamudi/full-preprocessing-tutorial", "kernel_id": "185063"}, {"ref": "abh001/full-preprocessing-tutorial", "kernel_id": "160702"}, {"ref": "isaacmg/notebook7937b86524", "kernel_id": "169092"}, {"ref": "isaacmg/notebookbc19fa1258", "kernel_id": "169100"}, {"ref": "brandao/3rd-attempt", "kernel_id": "161218"}, {"ref": "brandao/exploratory-data-analysis-7e0c209c", "kernel_id": "158927"}, {"ref": "lbregmann/s1s2s3s6", "kernel_id": "228915"}, {"ref": "jennbing/notebook44ddaac60c", "kernel_id": "227297"}, {"ref": "aholsa/notebookcfa0895251", "kernel_id": "173558"}, {"ref": "aholsa/notebook13a6f577c9", "kernel_id": "173571"}, {"ref": "zfturbo/keras-vs-cancer", "kernel_id": "159268"}, {"ref": "zfturbo/video-with-lungs-in-3-axes-notebook", "kernel_id": "164394"}, {"ref": "gkcalat/full-preprocessing-tutorial", "kernel_id": "190349"}, {"ref": "apurveyajnik/full-preprocessing-tutorial", "kernel_id": "174387"}, {"ref": "junetae/notebook3072cede43", "kernel_id": "213964"}, {"ref": "m2dao2dar/candidate-generation-and-luna16-preprocessi-b63c8c", "kernel_id": "184353"}, {"ref": "m2dao2dar/candidate-generation-and-luna16-preprocessing", "kernel_id": "178141"}, {"ref": "yananwu/notebook768bb24ce6", "kernel_id": "193021"}, {"ref": "styrens/notebookbab8d803ed", "kernel_id": "173517"}, {"ref": "faizankarim2/try-1", "kernel_id": "165946"}, {"ref": "caseyftw/notebooke816380bc8", "kernel_id": "159270"}, {"ref": "caseyftw/overfitting-the-leaderboard", "kernel_id": "162619"}, {"ref": "caseyftw/notebook0242f24c39", "kernel_id": "162613"}, {"ref": "francis7999/candidate-generation-luna16-preprocessing-forked", "kernel_id": "241212"}, {"ref": "sunshyam/full-preprocessing-tutorial", "kernel_id": "184158"}, {"ref": "sunshyam/first-pass-through-data-w-3d-convnet", "kernel_id": "185025"}, {"ref": "sunshyam/first-pass-through-data-w-3d-convnet-61d2be", "kernel_id": "185026"}, {"ref": "sunshyam/first-pass-through-data-w-3d-convnet-87e0f2", "kernel_id": "185029"}, {"ref": "sunshyam/processing-lungs-ct-scans", "kernel_id": "185949"}, {"ref": "vamreddy123/first-pass-through-data-w-3d-convnet", "kernel_id": "185636"}, {"ref": "sabihul/notebook3127543025", "kernel_id": "182771"}, {"ref": "shiyidewie/full-preprocessing-tutorial", "kernel_id": "174460"}, {"ref": "satyapati/full-preprocessing-tutorial", "kernel_id": "194546"}, {"ref": "masoudkaviani/full-preprocessing-tutorial", "kernel_id": "163466"}, {"ref": "posiedon/notebookd3cfc88708", "kernel_id": "211976"}, {"ref": "wyasuda/notebook11093490f7", "kernel_id": "211999"}, {"ref": "wyasuda/notebook20a2496650", "kernel_id": "212005"}, {"ref": "wyasuda/notebook644f1a216b", "kernel_id": "211928"}, {"ref": "valeron/loading-and-processing-the-sample-images", "kernel_id": "175731"}, {"ref": "valeron/full-preprocessing-tutorial", "kernel_id": "175734"}, {"ref": "valeron/full-preprocessing-tutorial-89fe68", "kernel_id": "190072"}, {"ref": "dmerson/notebookf867e8f2ed", "kernel_id": "159467"}, {"ref": "ogirr102/notebook6edecac37c", "kernel_id": "159631"}, {"ref": "ogirr102/exploratory-data-analysis", "kernel_id": "159628"}, {"ref": "ogirr102/full-preprocessing-tutorial", "kernel_id": "162031"}, {"ref": "ogirr102/notebook6012095a61", "kernel_id": "162029"}, {"ref": "sjoly123/joly-v2-1", "kernel_id": "160314"}, {"ref": "sjoly123/lb-0-56130-resnet50-features-xgboost", "kernel_id": "160304"}, {"ref": "illidan7/notebookde7f12993e", "kernel_id": "189278"}, {"ref": "illidan7/dex-1", "kernel_id": "189315"}, {"ref": "illidan7/notebook51b106bc66", "kernel_id": "189311"}, {"ref": "onecoolsurf/the-perfect-score-script", "kernel_id": "175520"}, {"ref": "peekxc/notebooka1d78662e5", "kernel_id": "209875"}, {"ref": "peekxc/notebook5dd60efc6a", "kernel_id": "208326"}, {"ref": "kikyosakyu/first-pass-through-data-w-3d-convnet", "kernel_id": "180935"}, {"ref": "shweta0193/notebook16a08d7167", "kernel_id": "186535"}, {"ref": "shweta0193/notebook23ce611983", "kernel_id": "186525"}, {"ref": "shweta0193/notebookd05574ffc2", "kernel_id": "185631"}, {"ref": "rspadim/beto1", "kernel_id": "161861"}, {"ref": "rspadim/full-preprocessing-tutorial", "kernel_id": "165854"}, {"ref": "rspadim/package-list-open-source-packages", "kernel_id": "162905"}, {"ref": "kanwalpreetkaur/notebook65475d8194", "kernel_id": "270408"}, {"ref": "kanwalpreetkaur/sgd-model", "kernel_id": "267991"}, {"ref": "kanwalpreetkaur/notebook828db78ba7", "kernel_id": "267196"}, {"ref": "andymarsden100/notebookec286c3ea1", "kernel_id": "182674"}, {"ref": "dmtishler/full-preprocessing-tutorial", "kernel_id": "161309"}, {"ref": "thanos1/notebook9a41a9ccda", "kernel_id": "219752"}, {"ref": "cyecandyds/full-preprocessing-tutorial", "kernel_id": "172560"}, {"ref": "tugees/candidate-generation-and-luna16-preprocessing", "kernel_id": "273613"}, {"ref": "uj2295/exploratory-analysis-visualization", "kernel_id": "194935"}, {"ref": "uj2295/full-preprocessing-tutorial", "kernel_id": "193224"}, {"ref": "uj2295/full-preprocessing-tutorial-8051ac", "kernel_id": "193238"}, {"ref": "uj2295/notebook05f17cc8a5", "kernel_id": "159530"}, {"ref": "uj2295/first-try", "kernel_id": "236551"}, {"ref": "aojjang/notebook4838aaf266", "kernel_id": "162732"}, {"ref": "geseft/notebook02b5727dcf", "kernel_id": "185432"}, {"ref": "geseft/full-preprocessing-tutorial", "kernel_id": "185434"}, {"ref": "michalstepniewski/lung-segmentation-and-candidate-points-generation", "kernel_id": "172927"}, {"ref": "michalstepniewski/keras-vs-cancer2", "kernel_id": "170567"}, {"ref": "michalstepniewski/keras-vs-cancer", "kernel_id": "170563"}, {"ref": "michalstepniewski/newnotebook", "kernel_id": "170232"}, {"ref": "michalstepniewski/newscript", "kernel_id": "170235"}, {"ref": "michalstepniewski/full-preprocessing-tutorial", "kernel_id": "170238"}, {"ref": "neilcaren/notebook6f6299c77b", "kernel_id": "161716"}, {"ref": "konzy1/notebook7f52391e71", "kernel_id": "173512"}, {"ref": "deepanway/full-preprocessing-tutorial", "kernel_id": "196927"}, {"ref": "macchuck/exploratory-data-analysis", "kernel_id": "158886"}, {"ref": "dearkafka/improved-lung-segmentation-using-watershed", "kernel_id": "174996"}, {"ref": "dearkafka/loading-and-processing-the-sample-images", "kernel_id": "163515"}, {"ref": "dearkafka/full-preprocessing-tutorial", "kernel_id": "162456"}, {"ref": "taoufik/full-preprocessing-tutorial-4640c32d", "kernel_id": "161632"}, {"ref": "taoufik/full-preprocessing-tutorial", "kernel_id": "161573"}, {"ref": "nikhil2008v/test-xgb", "kernel_id": "218587"}, {"ref": "inkesm/full-preprocessing-tutorial-b55c3fb2", "kernel_id": "164139"}, {"ref": "inkesm/full-preprocessing-tutorial-cfb76975", "kernel_id": "165048"}, {"ref": "inkesm/full-preprocessing-tutorial", "kernel_id": "163971"}, {"ref": "takeshichka/optimization12", "kernel_id": "168439"}, {"ref": "cityhunter/full-preprocessing-tutorial", "kernel_id": "169976"}, {"ref": "danielelton/full-preprocessing-tutorial", "kernel_id": "162046"}, {"ref": "danielelton/full-preprocessing-tutorial-eee0c44a", "kernel_id": "162078"}, {"ref": "xieqinye/notebook51393adeb7", "kernel_id": "212877"}, {"ref": "stephenl/initial-try", "kernel_id": "158924"}, {"ref": "hoaphumanoid/cntk-and-lightgbm-quick-start", "kernel_id": "173550"}, {"ref": "deeiip/full-preprocessing-tutorial", "kernel_id": "161020"}, {"ref": "ramaekersd/notebook27acd6b395", "kernel_id": "167219"}, {"ref": "milindgpatil/full-preprocessing-tutorial", "kernel_id": "178965"}, {"ref": "amoszq/testp", "kernel_id": "167711"}, {"ref": "cdyzhao/full-preprocessing-tutorial", "kernel_id": "167616"}, {"ref": "wilzyx/full-preprocessing-tutorial", "kernel_id": "169916"}, {"ref": "calibration/full-preprocessing-tutorial", "kernel_id": "168384"}, {"ref": "alanhamid/notebookf729b5da6a", "kernel_id": "205440"}, {"ref": "abhikapoor/resnet50-features-xgboost", "kernel_id": "220848"}, {"ref": "therealnoahwhereman/notebookb698062e1b", "kernel_id": "165109"}, {"ref": "therealnoahwhereman/full-preprocessing-tutorial", "kernel_id": "167910"}, {"ref": "cyllyue/notebook8014c95940", "kernel_id": "223557"}, {"ref": "jackyang7474/the-perfect-score-script", "kernel_id": "189438"}, {"ref": "icklerly/full-preprocessing-tutorial", "kernel_id": "164975"}, {"ref": "liaofz/full-preprocessing-tutorial", "kernel_id": "166803"}, {"ref": "liaofz/slice-visualization-with-interactive-widgets", "kernel_id": "182497"}, {"ref": "arnavkj95/notebook9b49a767c4", "kernel_id": "162658"}, {"ref": "arnavkj95/notebook6df73353e7", "kernel_id": "162362"}, {"ref": "arnavkj95/candidate-generation-and-luna16-preprocessing", "kernel_id": "162371"}, {"ref": "arnavkj95/notebookdd0ea3a7fb", "kernel_id": "162293"}, {"ref": "fonzik/full-preprocessing-tutorial", "kernel_id": "182466"}, {"ref": "imedacs/full-preprocessing-tutorial", "kernel_id": "166622"}, {"ref": "wangbing1118/notebook60c2194b13", "kernel_id": "220390"}, {"ref": "wangbing1118/notebook90ce57aeb7", "kernel_id": "201109"}, {"ref": "wangbing1118/notebook4d5a354c32", "kernel_id": "193941"}, {"ref": "wangbing1118/notebook41727dfa69", "kernel_id": "191700"}, {"ref": "wangbing1118/notebookf51f411a1f", "kernel_id": "191701"}, {"ref": "kirillal/resnet50-features-xgboost-v9", "kernel_id": "229171"}, {"ref": "kirillal/notebook7df8497901", "kernel_id": "179676"}, {"ref": "kirillal/resnet-v2", "kernel_id": "179677"}, {"ref": "kirillal/resnet50-features-xgboost", "kernel_id": "159492"}, {"ref": "kirillal/notebook85d23e62f4", "kernel_id": "162699"}, {"ref": "kirillal/full-preprocessing-tutorial", "kernel_id": "160860"}, {"ref": "tgoodm/first-pass-through-data-w-3d-convnet", "kernel_id": "187874"}, {"ref": "seoul358/notebook5855084f2b", "kernel_id": "213172"}, {"ref": "varunmittalabcd/notebookfa3195dc42", "kernel_id": "218007"}, {"ref": "anokas/resnet-50-features-ensemble", "kernel_id": "159579"}, {"ref": "anokas/exploratory-data-analysis-4", "kernel_id": "158666"}, {"ref": "swarnavedam/notebookedfb91f91f", "kernel_id": "232473"}, {"ref": "livingprogram/exploratory-data-analysis", "kernel_id": "168744"}, {"ref": "nutee000/notebook5bac9837aa", "kernel_id": "164877"}, {"ref": "thomasmorus/exploratory-data-analysis", "kernel_id": "166409"}, {"ref": "thomasmorus/video-with-lungs-in-3-axes-notebook", "kernel_id": "166399"}, {"ref": "tanarj/notebook33ff6a5fc7", "kernel_id": "190200"}, {"ref": "tanarj/notebook3f49cc5829", "kernel_id": "168862"}, {"ref": "tanarj/notebook5227e9b376", "kernel_id": "168975"}, {"ref": "aaronclark/fast-exploratory-data-analysis-in-r", "kernel_id": "170064"}, {"ref": "sbn248/notebooked6a517dd2", "kernel_id": "159490"}, {"ref": "tornikemzhavia/notebook2df0545428", "kernel_id": "181661"}, {"ref": "zliang/ttttt", "kernel_id": "224055"}, {"ref": "zliang/notebook50a7780816", "kernel_id": "224158"}, {"ref": "zliang/notebook93441ed950", "kernel_id": "223951"}, {"ref": "zliang/notebook1110807822", "kernel_id": "222279"}, {"ref": "zliang/dsb-2017", "kernel_id": "203156"}, {"ref": "bharadwajkss/getting-the-lungs-right-5ab996", "kernel_id": "223168"}, {"ref": "camarl/full-preprocessing-tutorial", "kernel_id": "164271"}, {"ref": "seanxu/exploratory-analysis-visualization", "kernel_id": "161301"}, {"ref": "larshb/lcf-kernel-test1", "kernel_id": "194904"}, {"ref": "cramja/full-preprocessing-tutorial", "kernel_id": "182042"}, {"ref": "agiledatas/full-preprocessing-tutorial", "kernel_id": "178374"}, {"ref": "gabs48/full-preprocessing-tutorial", "kernel_id": "170060"}, {"ref": "danaradje/full-preprocessing-tutorial", "kernel_id": "162554"}, {"ref": "danaradje/full-preprocessing-tutorial-a4633f", "kernel_id": "187388"}, {"ref": "yiyunzhou/data-process", "kernel_id": "198230"}, {"ref": "yiyunzhou/notebookc13a97c605", "kernel_id": "197820"}, {"ref": "yiyunzhou/notebookf74b0f267d", "kernel_id": "198946"}, {"ref": "yiyunzhou/notebook1700841cb7", "kernel_id": "212767"}, {"ref": "yiyunzhou/notebookde3ddeb8f8", "kernel_id": "212768"}, {"ref": "yiyunzhou/full-preprocessing-tutorial-627546", "kernel_id": "217022"}, {"ref": "khushhall/notebook62c00dc14d", "kernel_id": "170775"}, {"ref": "cdelabre/notebook6ca951f459", "kernel_id": "166441"}, {"ref": "laurae2/fast-exploratory-data-analysis-in-r", "kernel_id": "158671"}, {"ref": "laurae2/about-labels-1035-362-1-0-35-ratio", "kernel_id": "158664"}, {"ref": "gtrimarc/loading-and-processing-the-sample-images", "kernel_id": "158888"}, {"ref": "gtrimarc/notebookb619530742", "kernel_id": "158866"}, {"ref": "gtrimarc/full-preprocessing-tutorial", "kernel_id": "171480"}, {"ref": "kagren/full-preprocessing-tutorial", "kernel_id": "165611"}, {"ref": "kagren/improved-lung-segmentation-using-watershed", "kernel_id": "170747"}, {"ref": "yffuds/full-preprocessing-tutorial", "kernel_id": "165235"}, {"ref": "yffuds/first-pass-through-data-w-3d-convnet", "kernel_id": "189864"}, {"ref": "fionazhou/notebookd0e69cedd0", "kernel_id": "236898"}, {"ref": "weehyong/tetst", "kernel_id": "160450"}, {"ref": "weehyong/notebook7428d66cec", "kernel_id": "160452"}, {"ref": "andewjohnson/notebook0e2157c8b1", "kernel_id": "190663"}, {"ref": "kostdiek/notebook2c52f21991", "kernel_id": "165160"}, {"ref": "yuyang339/notebook042e66015a", "kernel_id": "196961"}, {"ref": "tinosibanda/explorating-data", "kernel_id": "166215"}, {"ref": "stoffle/notebookb6b0c8e4dc", "kernel_id": "165312"}, {"ref": "aagundez/notebook3ab0c7c6f1", "kernel_id": "243310"}, {"ref": "aagundez/notebookcb07b52da0", "kernel_id": "272794"}, {"ref": "yaronblinder/full-preprocessing-tutorial", "kernel_id": "170162"}, {"ref": "moitreebasu/full-preprocessing-tutorial", "kernel_id": "164461"}, {"ref": "kztheavatar/full-preprocessing-tutorial", "kernel_id": "182040"}, {"ref": "ianyfchang/candidate-generation-and-luna16-preprocessing", "kernel_id": "279417"}, {"ref": "paultodo/full-preprocessing-tutorial", "kernel_id": "174481"}, {"ref": "vihangpatil/xgboost-0-55", "kernel_id": "163288"}, {"ref": "sravdata/full-preprocessing-tutorial-e7604e5f", "kernel_id": "161704"}, {"ref": "sravdata/full-preprocessing-tutorial", "kernel_id": "161216"}, {"ref": "lixupeng/notebookb8c5a18c2c", "kernel_id": "171762"}, {"ref": "ltmico/full-preprocessing-tutorial-d1d9fb4a", "kernel_id": "176023"}, {"ref": "ltmico/full-preprocessing-tutorial-bd8dc0fd", "kernel_id": "171429"}, {"ref": "ltmico/full-preprocessing-tutorial", "kernel_id": "171416"}, {"ref": "ltmico/full-preprocessing-tutorial-7a53beba", "kernel_id": "172169"}, {"ref": "ilyes23/full-preprocessing-tutorial", "kernel_id": "196819"}, {"ref": "wallehldt/notebook801ade2ac2", "kernel_id": "231294"}, {"ref": "seamri/notebookc13d37d456", "kernel_id": "159348"}, {"ref": "jmhehir/chest-cavity-animation-with-pacemaker", "kernel_id": "160017"}, {"ref": "alexnorton/notebook6fd4358bf8", "kernel_id": "187499"}, {"ref": "jahanpour/full-preprocessing-tutorial", "kernel_id": "161664"}, {"ref": "jahanpour/understandingdata", "kernel_id": "162060"}, {"ref": "jahanpour/full-preprocessing-tutorial-a1346c2f", "kernel_id": "180507"}, {"ref": "jahanpour/full-preprocessing-tutorial-8f76513b", "kernel_id": "170868"}, {"ref": "aakashnain/firsttry", "kernel_id": "170454"}, {"ref": "jacksesmer/the-perfect-score-script", "kernel_id": "179195"}, {"ref": "nopium/full-preprocessing-tutorial-e7604e5f", "kernel_id": "161757"}, {"ref": "skibaai/full-preprocessing-tutorial", "kernel_id": "208860"}, {"ref": "ayoubi/notebookb060030b27", "kernel_id": "220317"}, {"ref": "ayoubi/notebook33f4472d2b", "kernel_id": "195978"}, {"ref": "ayoubi/notebook4a236d634a", "kernel_id": "194826"}, {"ref": "tngodup/cancer-visualisation", "kernel_id": "160458"}, {"ref": "tngodup/notebookfc24d649a7", "kernel_id": "212053"}, {"ref": "derek11/candidate-generation-and-luna16-preprocessi-69ba4d", "kernel_id": "222818"}, {"ref": "chuijh/full-preprocessing-tutorial", "kernel_id": "169366"}, {"ref": "chuijh/lung-segmentation-and-candidate-points-generation", "kernel_id": "172742"}, {"ref": "fitrialif/first-pass-through-data-w-3d-convnet", "kernel_id": "191853"}, {"ref": "fitrialif/full-preprocessing-tutorial", "kernel_id": "191843"}, {"ref": "umeshsati/notebook33c28710b6", "kernel_id": "180005"}, {"ref": "sekrier/test1-2", "kernel_id": "159124"}, {"ref": "sekrier/chest-cavity-animation", "kernel_id": "159181"}, {"ref": "sekrier/resnet50-features-xgboost", "kernel_id": "159642"}, {"ref": "sekrier/resnet50-xgboost", "kernel_id": "159878"}, {"ref": "pulsetracker/notebook7f72abcda4", "kernel_id": "178364"}, {"ref": "shamant/notebookedc0a2ef3f", "kernel_id": "170542"}, {"ref": "shamant/notebookd539fabb58", "kernel_id": "170648"}, {"ref": "pilsang0512/script3", "kernel_id": "165599"}, {"ref": "danvalle05/full-preprocessing-tutorial", "kernel_id": "168808"}, {"ref": "danvalle05/full-preprocessing-tutorial-e5cc25d1", "kernel_id": "168809"}, {"ref": "danvalle05/lung-segmentation-and-candidate-points-generation", "kernel_id": "172134"}, {"ref": "jatinjansari/full-preprocessing-tutorial-7d6f2aa0", "kernel_id": "169104"}, {"ref": "jatinjansari/about-labels-1035-362-1-0-35-ratio", "kernel_id": "159048"}, {"ref": "jatinjansari/full-preprocessing-tutorial", "kernel_id": "160991"}, {"ref": "blargl/notebook4a91005794", "kernel_id": "164866"}, {"ref": "newgela/my-test", "kernel_id": "168593"}, {"ref": "newgela/notebook0888ff3123", "kernel_id": "168599"}, {"ref": "stefany/notebook555855d3a4", "kernel_id": "208497"}, {"ref": "stefany/notebook694b09eeac", "kernel_id": "208817"}, {"ref": "ccpacer/full-preprocessing-tutorial-cc", "kernel_id": "256904"}, {"ref": "manuelalvarez/full-preprocessing-tutorial", "kernel_id": "174986"}, {"ref": "tobidakljfsd/full-preprocessing-tutorial", "kernel_id": "193037"}, {"ref": "adriaanslechten/notebook31080d8874", "kernel_id": "188005"}, {"ref": "iamalos/first-pass-through-data-w-3d-convnet", "kernel_id": "193236"}, {"ref": "iamalos/full-preprocessing-tutorial", "kernel_id": "193257"}, {"ref": "dimitrios/full-preprocessing-tutorial", "kernel_id": "175780"}, {"ref": "jihyeseo/ct-image-patient-chest-lung-cancer-2-classify", "kernel_id": "958689"}, {"ref": "badoun/exploratory-data-analysis", "kernel_id": "159323"}, {"ref": "badoun/exploratory-analysis-visualization", "kernel_id": "159328"}, {"ref": "badoun/full-preprocessing-tutorial-3d", "kernel_id": "160027"}, {"ref": "badoun/the-perfect-score-script", "kernel_id": "164187"}, {"ref": "richb123/full-preprocessing-tutorial", "kernel_id": "194147"}, {"ref": "miroag/candidate-generation-and-luna16-preprocessing", "kernel_id": "183501"}, {"ref": "udaykreddy/full-preprocessing-tutorial", "kernel_id": "166874"}, {"ref": "rainbowdog/full-preprocessing-tutorial", "kernel_id": "165244"}, {"ref": "rainbowdog/exploratory-data-analysis", "kernel_id": "165322"}, {"ref": "anton21/notebook534797a98f", "kernel_id": "165175"}, {"ref": "tenggyut/notebook67e80222a9", "kernel_id": "164121"}, {"ref": "abdallahmohamed/notebook369f3909a6", "kernel_id": "160233"}, {"ref": "saptarc/full-preprocessing-tutorial", "kernel_id": "177961"}, {"ref": "saptarc/notebook4457af08e2", "kernel_id": "177873"}, {"ref": "saptarc/full-preprocessing-tutorial-2bb443a1", "kernel_id": "178958"}, {"ref": "saptarc/processing-lungs-ct-scans", "kernel_id": "178959"}, {"ref": "saptarc/full-preprocessing-tutorial-bfd6687d", "kernel_id": "178952"}, {"ref": "saptarc/preprocessing-alternate", "kernel_id": "180285"}, {"ref": "saptarc/notebookc32015b7d4", "kernel_id": "203004"}, {"ref": "saptarc/uniform-dimension-low-resolution-jpeg-generation", "kernel_id": "185979"}, {"ref": "saptarc/after-the-watershed", "kernel_id": "185493"}, {"ref": "ninjavsdev/notebooka73ea82191", "kernel_id": "166493"}, {"ref": "stanlee321/first-pass-through-data-w-3d-convnet", "kernel_id": "236751"}, {"ref": "higoreduardo/full-preprocessing-tutorial", "kernel_id": "160360"}, {"ref": "higoreduardo/full-preprocessing-tutorial-cb8d1770", "kernel_id": "160941"}, {"ref": "higoreduardo/notebookaa262a2aa7", "kernel_id": "162089"}, {"ref": "higoreduardo/loading-and-processing-the-sample-images", "kernel_id": "159219"}, {"ref": "higoreduardo/exploratory-analysis-visualization", "kernel_id": "159220"}, {"ref": "higoreduardo/full-preprocessing-tutorial-2f1b7e5c", "kernel_id": "164463"}, {"ref": "higoreduardo/full-preprocessing-tutorial-a5d3f1c0", "kernel_id": "164444"}, {"ref": "julcol/full-preprocessing-tutorial", "kernel_id": "175284"}, {"ref": "julcol/loading-and-processing-the-sample-images", "kernel_id": "175395"}, {"ref": "walidsalah/full-preprocessing-tutorial", "kernel_id": "175996"}, {"ref": "raychae/full-preprocessing-tutorial", "kernel_id": "173787"}, {"ref": "winwin1234/notebooka101888647", "kernel_id": "159625"}, {"ref": "ionox0/full-preprocessing-tutorial", "kernel_id": "167234"}, {"ref": "gcpok2000/notebook74795e00f9", "kernel_id": "175655"}, {"ref": "junhongxu/notebook397306c672", "kernel_id": "163493"}, {"ref": "junhongxu/notebook4ca4745525", "kernel_id": "163486"}, {"ref": "igauty/full-preprocessing-tutorial", "kernel_id": "176364"}, {"ref": "galenyates/exploratory-data-analysis", "kernel_id": "160398"}, {"ref": "saudmeethal/trial", "kernel_id": "159087"}, {"ref": "saudmeethal/notebook5f1c9e21ba", "kernel_id": "159091"}, {"ref": "behindkun/full-preprocessing-tutorial-d4cb69", "kernel_id": "217449"}, {"ref": "behindkun/full-preprocessing-tutorial-f2f25f", "kernel_id": "188820"}, {"ref": "behindkun/full-preprocessing-tutorial", "kernel_id": "188817"}, {"ref": "behindkun/full-preprocessing-tutorial-e91829", "kernel_id": "191810"}, {"ref": "abhishekmishra87/full-preprocessing-tutorial", "kernel_id": "213329"}, {"ref": "kizaph/notebookc79834c553", "kernel_id": "159957"}, {"ref": "matheboy/notebooka9d7d5f934", "kernel_id": "236865"}, {"ref": "matheboy/notebooke366ca5328", "kernel_id": "236867"}, {"ref": "matheboy/notebook1fcca17287", "kernel_id": "236836"}, {"ref": "prashantddeeep/explore-digital-imaging-and-communications-in-med", "kernel_id": "163067"}, {"ref": "docey95/full-preprocessing-tutorial", "kernel_id": "177660"}, {"ref": "docey95/exploratory-data-analysis", "kernel_id": "177662"}, {"ref": "docey95/full-preprocessing-tutorial-f086beb3", "kernel_id": "182067"}, {"ref": "anandvishal/full-preprocessing-tutorial-988b5965", "kernel_id": "162255"}, {"ref": "anandvishal/full-preprocessing-tutorial-fabce92b", "kernel_id": "162018"}, {"ref": "anandvishal/full-preprocessing-tutorial", "kernel_id": "161966"}, {"ref": "anandvishal/full-preprocessing-tutorial-6793117d", "kernel_id": "163149"}, {"ref": "teenvan95/notebookce9ac75505", "kernel_id": "209251"}, {"ref": "teenvan95/notebooka8bec0a955", "kernel_id": "209253"}, {"ref": "greenreddy0/notebook9065fc1a3e", "kernel_id": "209777"}, {"ref": "ypzhang/full-preprocessing-tutorial", "kernel_id": "177934"}, {"ref": "gan3sh500/sentdex-followalong", "kernel_id": "181180"}, {"ref": "joshuabarber/notebook7ddeb401ab", "kernel_id": "200782"}, {"ref": "kbl4ew/notebook0a2452e9e5", "kernel_id": "160366"}, {"ref": "svetlin/notebook7e37b3c9a2", "kernel_id": "219221"}, {"ref": "yoarkyang/full-preprocessing-tutorial", "kernel_id": "161571"}, {"ref": "eswarl/first-step", "kernel_id": "162510"}, {"ref": "eswarl/notebookf240433544", "kernel_id": "162276"}, {"ref": "docai44/full-preprocessing-tutorial", "kernel_id": "163799"}, {"ref": "paulyoung/hello-world", "kernel_id": "192223"}, {"ref": "noisepuzzle/full-preprocessing-tutorial", "kernel_id": "178462"}, {"ref": "chaunceycwang/notebook3eff82af28", "kernel_id": "170178"}, {"ref": "root009/full-preprocessing-tutorial", "kernel_id": "171623"}, {"ref": "deepsemantic/first-pass-through-data-w-3d-convnet", "kernel_id": "188617"}, {"ref": "willem99/notebookde957532e8", "kernel_id": "228976"}, {"ref": "masterdezign/full-preprocessing-tutorial", "kernel_id": "161603"}, {"ref": "mitchryan3/full-preprocessing-tutorial", "kernel_id": "170774"}, {"ref": "doublefox/full-preprocessing-tutorial", "kernel_id": "161691"}, {"ref": "miningjerry/notebook1b56bd95c0", "kernel_id": "189528"}, {"ref": "amichban/exploratory-data-analysis-1", "kernel_id": "159547"}, {"ref": "mayou36/full-preprocessing-tutorial", "kernel_id": "160305"}, {"ref": "stevensg/full-preprocessing-tutorial", "kernel_id": "161284"}, {"ref": "stevensg/full-preprocessing-tutorial-3ed860ea", "kernel_id": "177167"}, {"ref": "stevensg/full-preprocessing-tutorial-7073f50d", "kernel_id": "177199"}, {"ref": "samron/new-fork", "kernel_id": "194396"}, {"ref": "samron/notebook2928be4e0a", "kernel_id": "194407"}, {"ref": "nocontact/azbowl", "kernel_id": "181990"}, {"ref": "alexwangbin/first-pass-through-data-w-3d-convnet", "kernel_id": "181435"}, {"ref": "vivekray30/predicting-lung-cancer-outcomes", "kernel_id": "201132"}, {"ref": "christfan868/full-preprocessing-tutorial", "kernel_id": "174150"}, {"ref": "christfan868/first-pass-through-data-w-3d-convnet", "kernel_id": "181017"}, {"ref": "polaris045217/notebook236ed7820b", "kernel_id": "206210"}, {"ref": "polaris045217/notebookbc77120f45", "kernel_id": "227874"}, {"ref": "spyamine/visualizing-segmentations-from-full-prepro-tut", "kernel_id": "186068"}, {"ref": "spyamine/full-preprocessing-tutorial", "kernel_id": "185641"}, {"ref": "shakul20/full-preprocessing-tutorial-cbe631", "kernel_id": "210406"}, {"ref": "shakul20/full-preprocessing-tutorial", "kernel_id": "176680"}, {"ref": "nseth6/testing", "kernel_id": "175955"}, {"ref": "nseth6/notebook4fed632f52", "kernel_id": "178738"}, {"ref": "nseth6/sample-code", "kernel_id": "160209"}, {"ref": "naveensaim/first-pass-through-data-w-3d-convnet", "kernel_id": "192459"}, {"ref": "naveensaim/first-pass-through-data-w-3d-convnet-8c3a4b", "kernel_id": "192805"}, {"ref": "jonask/full-preprocessing-tutorial", "kernel_id": "166298"}, {"ref": "davenso/notebook8a673c42aa", "kernel_id": "173666"}, {"ref": "bostdiek/full-preprocessing-tutorial", "kernel_id": "164809"}, {"ref": "sadhanag2015/loading-and-processing-the-sample-images", "kernel_id": "161355"}, {"ref": "yaxo42/initial-exploration", "kernel_id": "176052"}, {"ref": "yaxo42/my-first-kernel", "kernel_id": "174693"}, {"ref": "hindupuravinash/resnet50-features-xgboost", "kernel_id": "216898"}, {"ref": "enagarajan/full-preprocessing-tutorial", "kernel_id": "169746"}, {"ref": "danielkaifeng/full-preprocessing-tutorial", "kernel_id": "165584"}, {"ref": "automata/hierarchical-clustering-of-features-for-cancer", "kernel_id": "181799"}, {"ref": "kingaza/full-preprocessing-tutorial", "kernel_id": "162562"}, {"ref": "tummyfull/full-preprocessing-tutorial", "kernel_id": "161519"}, {"ref": "tummyfull/primary", "kernel_id": "161412"}, {"ref": "deepman/first-pass-through-data-w-3d-convnet", "kernel_id": "190530"}, {"ref": "deepman/3d-convolutional-neural-network-w-o-programming", "kernel_id": "190654"}, {"ref": "bdjidi/full-preprocessing-tutorial", "kernel_id": "182952"}, {"ref": "bdjidi/full-preprocessing-tutorial-fc28b8", "kernel_id": "184719"}, {"ref": "bizdat2/notebookc77ce0afa1", "kernel_id": "181265"}, {"ref": "bizdat2/full-preprocessing-tutorial", "kernel_id": "182856"}, {"ref": "utayao/candidate-generation-and-luna16-preprocessing", "kernel_id": "192179"}, {"ref": "utayao/full-preprocessing-tutorial", "kernel_id": "161058"}, {"ref": "utayao/the-perfect-score-script", "kernel_id": "164766"}, {"ref": "with1154/notebookdcb1abe04f", "kernel_id": "166309"}, {"ref": "cengizonen/exploratory-data-analysis", "kernel_id": "264989"}, {"ref": "joeymo/notebookdf1bf6db22", "kernel_id": "188809"}, {"ref": "joeymo/full-preprocessing-tutorial", "kernel_id": "188648"}, {"ref": "vamsea/full-preprocessing-tutorial", "kernel_id": "188890"}, {"ref": "ebrion/full-preprocessing-tutorial", "kernel_id": "162582"}, {"ref": "ebrion/notebookbd98e6ac5e", "kernel_id": "159284"}, {"ref": "kfchen1988/notebook346deb8553", "kernel_id": "187593"}, {"ref": "junhewk/full-preprocessing-tutorial", "kernel_id": "174759"}, {"ref": "nitink12/notebook0ed10d3470", "kernel_id": "225083"}, {"ref": "adambricknell/notebookc00019fa2c", "kernel_id": "168732"}, {"ref": "shanakadesoysa/full-preprocessing-tutorial-8303453b", "kernel_id": "165964"}, {"ref": "shanakadesoysa/notebook2f91812707", "kernel_id": "164315"}, {"ref": "shanakadesoysa/full-preprocessing-tutorial", "kernel_id": "164328"}, {"ref": "avitosky/first-pass-through-data-w-3d-convnet", "kernel_id": "196415"}, {"ref": "defraction/improved-lung-segmentation-using-watershed", "kernel_id": "175793"}, {"ref": "alexsandra/lung-segmentation-and-candidate-points-generation", "kernel_id": "169273"}, {"ref": "osamir/exploration-1", "kernel_id": "164680"}, {"ref": "osamir/notebook85fa539018", "kernel_id": "164696"}, {"ref": "jz7489/full-preprocessing-tutorial", "kernel_id": "160431"}, {"ref": "jz7489/full-preprocessing-tutorial-18ba698d", "kernel_id": "165408"}, {"ref": "bodhiswatta/notebooke6f59a2e3b", "kernel_id": "218961"}, {"ref": "bodhiswatta/notebookf3886e5be7", "kernel_id": "219332"}, {"ref": "ernie55ernie/dicom-visualization-and-animation", "kernel_id": "180199"}, {"ref": "philippmichel/notebook40da912bfd", "kernel_id": "217000"}, {"ref": "amanrana20/notebook98162b4f42", "kernel_id": "231652"}, {"ref": "amanrana20/notebook486db776b5", "kernel_id": "224918"}, {"ref": "amanrana20/notebook99e0f905a3", "kernel_id": "224924"}, {"ref": "amanrana20/notebookc6f0dedaab", "kernel_id": "224927"}, {"ref": "amanrana20/test2-ar", "kernel_id": "224928"}, {"ref": "amanrana20/notebook85992ac7ac", "kernel_id": "158692"}, {"ref": "amanrana20/notebook8cdca6414c", "kernel_id": "158683"}, {"ref": "amanrana20/rolling-panda", "kernel_id": "158684"}, {"ref": "amanrana20/notebookb6aeb8196c", "kernel_id": "173626"}, {"ref": "worulz/ds-bowl-review-u-net-segmentation-tutorial", "kernel_id": "170818"}, {"ref": "bissben/the-perfect-score-script", "kernel_id": "163947"}, {"ref": "kuzmanovicd/script-test", "kernel_id": "189201"}, {"ref": "maherm/full-preprocessing-tutorial-4640c32d", "kernel_id": "164613"}, {"ref": "kongpasom/bkgsc3", "kernel_id": "164339"}, {"ref": "kongpasom/notebook487dbdd086", "kernel_id": "162181"}, {"ref": "dukasguo/full-preprocessing-tutorial", "kernel_id": "187881"}, {"ref": "naotous/loading-and-processing-the-sample-images", "kernel_id": "158743"}, {"ref": "naotous/exploratory-data-analysis", "kernel_id": "158750"}, {"ref": "naotous/exploratory-data-analysis-c8f9a9e5", "kernel_id": "165418"}, {"ref": "defaulttao/extract-cubes-from-luna2016", "kernel_id": "185926"}, {"ref": "defaulttao/notebook3b4dfa05b2", "kernel_id": "185930"}, {"ref": "defaulttao/full-preprocessing-tutorial", "kernel_id": "166660"}, {"ref": "defaulttao/candidate-generation-and-luna16-preprocessing", "kernel_id": "178635"}, {"ref": "alesgb/test-02", "kernel_id": "211512"}, {"ref": "alesgb/save-some-features", "kernel_id": "211444"}, {"ref": "alesgb/preparing-the-data", "kernel_id": "194347"}, {"ref": "alesgb/fast-exploratory-data-analysis-in-r", "kernel_id": "194342"}, {"ref": "alesgb/fast-exploratory-data-analysis-in-r-cda287", "kernel_id": "194343"}, {"ref": "lovemyjean/full-preprocessing-tutorial", "kernel_id": "181448"}, {"ref": "u4000d/full-preprocessing-tutorial", "kernel_id": "177852"}, {"ref": "richardgd/full-preprocessing-tutorial", "kernel_id": "163480"}, {"ref": "zhennany/full-preprocessing-tutorial", "kernel_id": "177390"}, {"ref": "dawidqb/full-preprocessing-tutorial", "kernel_id": "162853"}, {"ref": "miibotree/full-preprocessing-tutorial-e64a2c", "kernel_id": "225454"}, {"ref": "miibotree/candidate-generation-and-luna16-preprocessing", "kernel_id": "230588"}, {"ref": "edwardma12593/full-preprocessing-tutorial", "kernel_id": "196681"}, {"ref": "edwardma12593/notebook9f7b8bbc66", "kernel_id": "195834"}, {"ref": "edwardma12593/first-pass-through-data-w-3d-convnet", "kernel_id": "195831"}, {"ref": "edwardma12593/first-pass-through-data-w-3d-convnet-04d440", "kernel_id": "195903"}, {"ref": "edwardma12593/first-pass-through-data-w-3d-convnet-575290", "kernel_id": "195849"}, {"ref": "claretivue/test1", "kernel_id": "172074"}, {"ref": "sidnr1/full-preprocessing-tutorial", "kernel_id": "166313"}, {"ref": "liupengfiu/full-preprocessing-tutorial", "kernel_id": "175438"}, {"ref": "azlenko/full-preprocessing-tutorial", "kernel_id": "164262"}, {"ref": "mtoure/full-preprocessing-tutorial", "kernel_id": "170061"}, {"ref": "mmloveme012/first-pass-through-data-w-3d-convnet", "kernel_id": "190276"}, {"ref": "mmloveme012/exploratory-data-analysis", "kernel_id": "159654"}, {"ref": "mmloveme012/full-preprocessing-tutorial", "kernel_id": "164525"}, {"ref": "mmloveme012/full-preprocessing-tutorial-b11cef50", "kernel_id": "164526"}, {"ref": "luudactam/full-preprocessing-tutorial", "kernel_id": "184127"}, {"ref": "luudactam/first-pass-through-data-w-3d-convnet-a14be4", "kernel_id": "185882"}, {"ref": "luudactam/first-pass-through-data-w-3d-convnet", "kernel_id": "185879"}, {"ref": "luudactam/the-perfect-score-script", "kernel_id": "185871"}, {"ref": "luudactam/exploratory-data-analysis", "kernel_id": "182358"}, {"ref": "coocoocacha/full-preprocessing-tutorial", "kernel_id": "162231"}, {"ref": "ahallo/full-preprocessing-tutorial", "kernel_id": "167824"}, {"ref": "hailongbai/full-preprocessing-tutorial", "kernel_id": "179551"}, {"ref": "g3ortega/notebook2c29486984", "kernel_id": "161957"}, {"ref": "revatijoshi/first-pass-through-data-w-3d-convnet", "kernel_id": "189593"}, {"ref": "amrith7/notebookc60002caba", "kernel_id": "159100"}, {"ref": "noronha1978/dsbowl-2017-script", "kernel_id": "173603"}, {"ref": "hirokiii/notebook00c7a5d0c3", "kernel_id": "233821"}, {"ref": "pyanzin/full-preprocessing-tutorial", "kernel_id": "185263"}, {"ref": "bdavis/notebook435c04dfce", "kernel_id": "166472"}, {"ref": "bdavis/lung-segmentation", "kernel_id": "166509"}, {"ref": "prakritidevverma/notebook947abb358c", "kernel_id": "167737"}, {"ref": "prakritidevverma/data-visualization", "kernel_id": "172514"}, {"ref": "alexbella/full-preprocessing-tutorial", "kernel_id": "169837"}, {"ref": "dimkoim/test-kaggle", "kernel_id": "171399"}, {"ref": "dimkoim/first-pass-through-data-w-3d-convnet", "kernel_id": "191946"}, {"ref": "gtgtgt/notebookdcf4d1b13d", "kernel_id": "165395"}, {"ref": "lihongqiang/full-preprocessing-tutorial", "kernel_id": "182440"}, {"ref": "lihongqiang/notebook9ba5394762", "kernel_id": "182418"}, {"ref": "dmayeda/candidate-generation-and-luna16-preprocessing", "kernel_id": "193501"}, {"ref": "dmayeda/exploratory-data-analysis", "kernel_id": "190348"}, {"ref": "dmayeda/explore-digital-imaging-and-communications-in-med", "kernel_id": "191317"}, {"ref": "dmayeda/full-preprocessing-tutorial", "kernel_id": "178522"}, {"ref": "dmayeda/full-preprocessing-tutorial-f8f636b9", "kernel_id": "178538"}, {"ref": "dmayeda/full-preprocessing-tutorial-2e09c266", "kernel_id": "181325"}, {"ref": "compvis/full-preprocessing-tutorial", "kernel_id": "180562"}, {"ref": "srinathb/trail", "kernel_id": "171919"}, {"ref": "srinathb/notebookcba9684433", "kernel_id": "167207"}, {"ref": "srinathb/notebook5eb619771c", "kernel_id": "167209"}, {"ref": "srinathb/notebook2b838d6145", "kernel_id": "166081"}, {"ref": "srinathb/notebook0076932f1b", "kernel_id": "166133"}, {"ref": "srinathb/notebook2ba464093b", "kernel_id": "164897"}, {"ref": "srinathb/understanding-dataset", "kernel_id": "164895"}, {"ref": "srinathb/notebooke34cc7002f", "kernel_id": "165077"}, {"ref": "srinathb/notebook57f28a9a3e", "kernel_id": "165103"}, {"ref": "srinathb/notebookce5c4f7cbf", "kernel_id": "165107"}, {"ref": "srinathb/notebook27779787f8", "kernel_id": "165113"}, {"ref": "srinathb/notebook7a45e1fdb2", "kernel_id": "164338"}, {"ref": "srinathb/notebookd9029a08eb", "kernel_id": "173403"}, {"ref": "maigva/full-preprocessing-tutorial", "kernel_id": "173682"}, {"ref": "maigva/loading-and-processing-the-sample-images", "kernel_id": "173776"}, {"ref": "iamsafy/full-preprocessing-tutorial", "kernel_id": "184234"}, {"ref": "hesperus/firstone", "kernel_id": "163484"}, {"ref": "mtitkov/full-preprocessing-tutorial", "kernel_id": "161121"}, {"ref": "murtazaroondiwala/notebook6d2eefcf99", "kernel_id": "186213"}, {"ref": "nadigshreekanth/notebookb33dba78bd", "kernel_id": "231534"}, {"ref": "adityakumarsinha/full-preprocessing-tutorial", "kernel_id": "181917"}, {"ref": "hamiltonlabs/exploratory-data-analysis", "kernel_id": "160293"}, {"ref": "cameres/first-pass-through-data-w-3d-convnet-44bc52", "kernel_id": "195220"}, {"ref": "cameres/first-pass-through-data-w-3d-convnet", "kernel_id": "193517"}, {"ref": "cameres/full-preprocessing-tutorial", "kernel_id": "181326"}, {"ref": "derceto/notebookd4f772c2ac", "kernel_id": "181644"}, {"ref": "derceto/first-pass-through-data-w-3d-convnet", "kernel_id": "181664"}, {"ref": "derceto/full-preprocessing-tutorial", "kernel_id": "181662"}, {"ref": "filareta/notebookb7ebd6f232", "kernel_id": "220562"}, {"ref": "amaurymercier/improved-lung-segmentation-using-watershed", "kernel_id": "178224"}, {"ref": "onepoint90/full-preprocessing-tutorial", "kernel_id": "185000"}, {"ref": "yrbfish/first-pass-through-data-w-3d-convnet-4f96f9", "kernel_id": "186493"}, {"ref": "yrbfish/first-pass-through-data-w-3d-convnet-d27f7c", "kernel_id": "186499"}, {"ref": "yrbfish/first-pass-through-data-w-3d-convnet", "kernel_id": "186454"}, {"ref": "arturscussel/improved-lung-segmentation-using-watershed", "kernel_id": "170158"}, {"ref": "arturscussel/lung-segmentation-and-candidate-points-generation", "kernel_id": "170167"}, {"ref": "ravelantunes/notebookb535c5c429", "kernel_id": "170275"}, {"ref": "wwj718/notebooka44b1471f0", "kernel_id": "212288"}, {"ref": "tejjet/full-preprocessing-tutorial", "kernel_id": "194533"}, {"ref": "tejjet/notebook3d53e1770b", "kernel_id": "163213"}, {"ref": "adalau/full-preprocessing-tutorial", "kernel_id": "176283"}, {"ref": "brookpang/candidate-generation-and-luna16-preprocessing", "kernel_id": "226351"}, {"ref": "brookpang/full-preprocessing-tutorial", "kernel_id": "222569"}, {"ref": "jhagaurav/image-preprocessing-r-trying-to-get-to-it", "kernel_id": "177706"}, {"ref": "jhagaurav/notebooke25af31e2b", "kernel_id": "163267"}, {"ref": "jhagaurav/first-python-script-gaurav-jha", "kernel_id": "200201"}, {"ref": "jhagaurav/r-preprocessing-new-one", "kernel_id": "186921"}, {"ref": "huanyan/notebookba28d2d8d0", "kernel_id": "203291"}, {"ref": "jensonbenjamin/notebook6d65107f95", "kernel_id": "169781"}, {"ref": "mohammedkhamisamro/full-preprocessing-tutorial-24b08f82", "kernel_id": "181762"}, {"ref": "mohammedkhamisamro/exploratory-data-analysis", "kernel_id": "173876"}, {"ref": "mohammedkhamisamro/full-preprocessing-tutorial", "kernel_id": "173880"}, {"ref": "alessandrobetti/full-preprocessing-tutorial", "kernel_id": "160643"}, {"ref": "pierrekhouryb/notebookbf40a001ef", "kernel_id": "184991"}, {"ref": "youngwon/notebookfed5067fc9", "kernel_id": "161764"}, {"ref": "youngwon/notebook1f249dbd96", "kernel_id": "161481"}, {"ref": "agentdragonborn/notebook4ffca7f406", "kernel_id": "203624"}, {"ref": "purple/full-preprocessing-tutorial", "kernel_id": "160404"}, {"ref": "matthewsantiago009/full-preprocessing-tutorial", "kernel_id": "160335"}, {"ref": "sgipdata/notebook59f66bb110", "kernel_id": "196637"}, {"ref": "hyunjaecho94/notebook820c95546e", "kernel_id": "262490"}, {"ref": "mlmikhail/full-preprocessing-tutorial", "kernel_id": "166416"}, {"ref": "mcleodx/full-preprocessing-tutorial-b1138561", "kernel_id": "169917"}, {"ref": "mcleodx/loading-and-processing-the-sample-images", "kernel_id": "169918"}, {"ref": "mcleodx/lung-segmentation-and-candidate-points-generation", "kernel_id": "169967"}, {"ref": "mcleodx/improved-lung-segmentation-using-watershed", "kernel_id": "173957"}, {"ref": "mcleodx/full-preprocessing-tutorial", "kernel_id": "162264"}, {"ref": "mcleodx/exploratory-data-analysis", "kernel_id": "162299"}, {"ref": "alijs1/resnet50-features-xgboost", "kernel_id": "159487"}, {"ref": "rhymeswithlion/test-me", "kernel_id": "171310"}, {"ref": "svesal/lunacancer2017", "kernel_id": "159332"}, {"ref": "svesal/luna2017", "kernel_id": "159016"}, {"ref": "svesal/notebook3b15073b55", "kernel_id": "173718"}, {"ref": "svesal/loading-and-processing-the-sample-images", "kernel_id": "169858"}, {"ref": "svesal/notebook87f520fd76", "kernel_id": "169860"}, {"ref": "akhilcacharya/test-notebook", "kernel_id": "161086"}, {"ref": "gabe808/full-preprocessing-tutorial", "kernel_id": "173901"}, {"ref": "lonver126/notebook4b0a68a220", "kernel_id": "228520"}, {"ref": "jainvikas/exploring-data-using-r", "kernel_id": "173636"}, {"ref": "jainvikas/candidate-generation-and-luna16-preprocessing", "kernel_id": "175633"}, {"ref": "jainvikas/notebook3f7d037267", "kernel_id": "175671"}, {"ref": "joelin000/full-preprocessing-tutorial", "kernel_id": "177181"}, {"ref": "joelin000/the-perfect-score-script", "kernel_id": "177196"}, {"ref": "scp173/full-preprocessing-tutorial-ff7a1c33", "kernel_id": "163874"}, {"ref": "scp173/full-preprocessing-tutorial", "kernel_id": "163217"}, {"ref": "yipwendy/full-preprocessing-tutorial", "kernel_id": "179722"}, {"ref": "mwinnel/fast-exploratory-data-analysis-in-r", "kernel_id": "183991"}, {"ref": "violaciao/first-pass-through-data-w-3d-convnet", "kernel_id": "200260"}, {"ref": "zanospi/notebook8fe5de4a96", "kernel_id": "159613"}, {"ref": "tanlikesmath/kernel-python-20170209", "kernel_id": "183097"}, {"ref": "tanlikesmath/optimization", "kernel_id": "170809"}, {"ref": "tanlikesmath/exploratory-data-analysis-7e0c209c", "kernel_id": "158954"}, {"ref": "jeevanrachepalli/notebook4783598e4f", "kernel_id": "224801"}, {"ref": "lukaszn/loading-and-processing-the-sample-images", "kernel_id": "171850"}, {"ref": "desmondlpk/full-preprocessing-tutorial", "kernel_id": "171573"}, {"ref": "statinstilettos/lung-cancer-detection", "kernel_id": "160138"}, {"ref": "tilkben/asd-py", "kernel_id": "165040"}, {"ref": "ctjohnson/full-preprocessing-tutorial", "kernel_id": "173583"}, {"ref": "supernihui/keras-vs-cancer", "kernel_id": "161737"}, {"ref": "walterwangnyc/getting-the-lungs-right", "kernel_id": "252998"}, {"ref": "shawnxu1318/notebookc42f0337df", "kernel_id": "209241"}, {"ref": "jychstar/notebook54073d8e53", "kernel_id": "189389"}, {"ref": "amir19/notebook90aa0e6c81", "kernel_id": "185965"}, {"ref": "amir19/notebook22a11ce73d", "kernel_id": "185975"}, {"ref": "aamikkelsen/full-preprocessing-tutorial", "kernel_id": "170602"}, {"ref": "hsanalytics/full-preprocessing-tutorial", "kernel_id": "179709"}, {"ref": "ggggfan/full-preprocessing-tutorial", "kernel_id": "193521"}, {"ref": "damianpanek/reading-file-3d-object", "kernel_id": "159980"}, {"ref": "idroji/the-perfect-score-script", "kernel_id": "163786"}, {"ref": "yongkai/full-preprocessing-tutorial", "kernel_id": "173756"}, {"ref": "kalyanj/full-preprocessing-tutorial", "kernel_id": "161362"}, {"ref": "nearby/full-preprocessing-tutorial", "kernel_id": "176953"}, {"ref": "whaozl/the-perfect-score-script", "kernel_id": "182721"}, {"ref": "whaozl/video-with-lungs-in-3-axes-notebook", "kernel_id": "182724"}, {"ref": "whaozl/loading-and-processing-the-sample-images", "kernel_id": "182725"}, {"ref": "whaozl/improved-lung-segmentation-using-watershed", "kernel_id": "182714"}, {"ref": "whaozl/exploratory-data-analysis", "kernel_id": "182716"}, {"ref": "whaozl/full-preprocessing-tutorial", "kernel_id": "181700"}, {"ref": "whaozl/candidate-generation-and-luna16-preprocessing", "kernel_id": "181701"}, {"ref": "whaozl/first-pass-through-data-w-3d-convnet", "kernel_id": "181696"}, {"ref": "zmykaggle/notebook149b1983fa", "kernel_id": "163456"}, {"ref": "ujwal2020/notebookc41aefd9c4", "kernel_id": "195308"}, {"ref": "ujwal2020/notebookc48937a4fd", "kernel_id": "195310"}, {"ref": "ujwal2020/notebookcd67592b29", "kernel_id": "195305"}, {"ref": "topipari/full-preprocessing-tutorial", "kernel_id": "173766"}, {"ref": "sidharthkumar/first-pass-through-data-w-3d-convnet-e58862", "kernel_id": "195747"}, {"ref": "sidharthkumar/first-pass-through-data-w-3d-convnet", "kernel_id": "188642"}, {"ref": "amorsili/notebookab4398af00", "kernel_id": "177851"}, {"ref": "amorsili/medical-image-analysis-lung-segmentation", "kernel_id": "177842"}, {"ref": "amorsili/fast-exploratory-data-analysis-in-r", "kernel_id": "177848"}, {"ref": "hunterd/notebookf7c8157a01", "kernel_id": "197487"}, {"ref": "agggaurav/full-preprocessing-tutorial", "kernel_id": "170708"}, {"ref": "binilg/bkgsc3", "kernel_id": "163820"}, {"ref": "binilg/bkgsc2", "kernel_id": "162274"}, {"ref": "sidian/the-perfect-score-script", "kernel_id": "163949"}, {"ref": "yiding/3d-convolutional-neural-network-w-o-programming", "kernel_id": "196668"}, {"ref": "johnluo721/data-visualisation-and-analysis", "kernel_id": "163040"}, {"ref": "aryan607/notebook12f937251f", "kernel_id": "209427"}, {"ref": "jblack1395/first-pass-through-data-w-3d-convnet", "kernel_id": "183176"}, {"ref": "jblack1395/lung-segmentation", "kernel_id": "164974"}, {"ref": "babrady27/notebook1dd66694b5", "kernel_id": "191398"}, {"ref": "rashmitarouy01/ttuparthanrash-data-science-bowl-2017", "kernel_id": "233229"}, {"ref": "pkmital/exploratory-data-analysis-5a7092bf", "kernel_id": "159722"}, {"ref": "pkmital/exploring", "kernel_id": "159726"}, {"ref": "pkmital/notebook09399b309f", "kernel_id": "159729"}, {"ref": "pkmital/exploratory-data-analysis", "kernel_id": "159713"}, {"ref": "thearchitect/full-preprocessing-tutorial", "kernel_id": "177208"}, {"ref": "thearchitect/full-preprocessing-tutorial-85a950d9", "kernel_id": "177211"}, {"ref": "parthassatpathy/notebook288b170eab", "kernel_id": "220070"}, {"ref": "meetshah1995/neon-cancer", "kernel_id": "160613"}, {"ref": "kssong/notebook417a02042a", "kernel_id": "172610"}, {"ref": "kssong/notebook6475b94a54", "kernel_id": "201825"}, {"ref": "manmohan24nov/notebookc0c07e70d2", "kernel_id": "217684"}, {"ref": "mikejaron/exploratory-data-analysis-8712f3ee", "kernel_id": "167337"}, {"ref": "mikejaron/exploratory-data-analysis", "kernel_id": "167235"}, {"ref": "vampire2016/full-preprocessing-tutorial", "kernel_id": "171779"}, {"ref": "egdman/full-preprocessing-tutorial", "kernel_id": "163209"}, {"ref": "amirdaaee/notebook5810883d4e", "kernel_id": "186402"}, {"ref": "shashaalam/exploratory-data-analysis", "kernel_id": "231262"}, {"ref": "shashaalam/fork-of-explorating-data", "kernel_id": "174319"}, {"ref": "shashaalam/explorating-data", "kernel_id": "165033"}, {"ref": "shashaalam/fork-of-notebook23fe4a8995", "kernel_id": "165387"}, {"ref": "kevinspahr/full-preprocessing-tutorial", "kernel_id": "162987"}, {"ref": "yechang/lung-cancer-data", "kernel_id": "202819"}, {"ref": "yechang/notebook29a1d23690", "kernel_id": "203586"}, {"ref": "zenblade93/gululu", "kernel_id": "160733"}, {"ref": "thatdongdongzhang/first-pass-through-data-w-3d-convnet", "kernel_id": "196473"}, {"ref": "humin127/notebook72970de985", "kernel_id": "231402"}, {"ref": "pierretisseur/keras-vs-cancer2456", "kernel_id": "230214"}, {"ref": "pierretisseur/keras-vs-cancer237", "kernel_id": "230738"}, {"ref": "aashay96/notebook1b15bc224d", "kernel_id": "201039"}, {"ref": "aashay96/notebooka1e200e35d", "kernel_id": "201286"}, {"ref": "oforia/full-preprocessing-tutorial", "kernel_id": "174030"}, {"ref": "gomesbruna/resnet50-features-xgboost-fork", "kernel_id": "204977"}, {"ref": "rojre1979/sample-script-dsb2017", "kernel_id": "226095"}, {"ref": "rojre1979/full-preprocessing-tutorial", "kernel_id": "195162"}, {"ref": "sopanyadav/full-preprocessing-tutorial", "kernel_id": "161584"}, {"ref": "zmoments/notebook60f9512e1d", "kernel_id": "177458"}, {"ref": "landpiece/notebookdd1031b3d5", "kernel_id": "182578"}, {"ref": "avinashkaitha/initial-pass", "kernel_id": "181949"}, {"ref": "davidsodor/notebookd2cf63ba2d", "kernel_id": "223734"}, {"ref": "adolphe/notebookd83c0cbe1a", "kernel_id": "200140"}, {"ref": "adolphe/adolphe-cancer", "kernel_id": "200141"}, {"ref": "adolphe/notebook30b6b50d7d", "kernel_id": "184081"}, {"ref": "asiva8/notebook84a9ed2ea3", "kernel_id": "201002"}, {"ref": "atuljjoshi05/full-preprocessing-tutorial", "kernel_id": "189861"}, {"ref": "wezemer/selective-enhancement-filters", "kernel_id": "227804"}, {"ref": "jcquillet/full-preprocessing-tutorial", "kernel_id": "168016"}, {"ref": "a1m1w1/chest-cavity-animation", "kernel_id": "159283"}, {"ref": "ajith3619/full-preprocessing-tutorial", "kernel_id": "167895"}, {"ref": "funapi/full-preprocessing-tutorial", "kernel_id": "162622"}, {"ref": "weirubin/full-preprocessing-tutorial", "kernel_id": "190107"}, {"ref": "weirubin/fast-exploratory-data-analysis-in-r", "kernel_id": "158774"}, {"ref": "lzhang18/notebook58413ee4f3", "kernel_id": "204963"}, {"ref": "xinyuitan2/notebookf2508653ef", "kernel_id": "180062"}, {"ref": "xinyuitan2/exploratory-data-analysis", "kernel_id": "180083"}, {"ref": "xinyuitan2/full-preprocessing-tutorial-cb299fe2", "kernel_id": "179847"}, {"ref": "xinyuitan2/full-preprocessing-tutorial", "kernel_id": "174817"}, {"ref": "xinyuitan2/hhhhhh", "kernel_id": "174823"}, {"ref": "eddietio/first-pass-through-data-w-3d-convnet", "kernel_id": "194914"}, {"ref": "xanier/the-perfect-score-script", "kernel_id": "191528"}, {"ref": "manthedan/the-perfect-score-script", "kernel_id": "163773"}, {"ref": "manthedan/full-preprocessing-tutorial", "kernel_id": "163774"}, {"ref": "zuchunshan/getting-the-lungs-right", "kernel_id": "220725"}, {"ref": "zuchunshan/full-preprocessing-tutorial", "kernel_id": "220697"}, {"ref": "irishair/initail", "kernel_id": "190540"}, {"ref": "irishair/notebook38c167a0d0", "kernel_id": "190418"}, {"ref": "irishair/notebook1e4f0f14c7", "kernel_id": "190403"}, {"ref": "irishair/notebook547ff672af", "kernel_id": "189551"}, {"ref": "sabinemcconnell/full-preprocessing-tutorial", "kernel_id": "167332"}, {"ref": "sabinemcconnell/full-preprocessing-tutorial-ed28dd3f", "kernel_id": "167334"}, {"ref": "rohanag12/notebookf837942ec8", "kernel_id": "193166"}, {"ref": "viditj/full-preprocessing-tutorial", "kernel_id": "170456"}, {"ref": "sentdex/next-steps-after-full-preprocessing-tutorial", "kernel_id": "176140"}, {"ref": "sentdex/full-preprocessing-tutorial", "kernel_id": "177626"}, {"ref": "sentdex/notebookf2fdede00f", "kernel_id": "177627"}, {"ref": "sentdex/notebook00b61c3ff0", "kernel_id": "177716"}, {"ref": "sentdex/notebookf505896d0a", "kernel_id": "178250"}, {"ref": "sentdex/notebookf0ed3483a1", "kernel_id": "178674"}, {"ref": "sentdex/notebook3b57d716b9", "kernel_id": "178663"}, {"ref": "sentdex/first-pass-through-data-w-3d-convnet", "kernel_id": "178681"}, {"ref": "sentdex/exploratory-data-analysis", "kernel_id": "178671"}, {"ref": "sentdex/notebooka9a2beafd4", "kernel_id": "178677"}, {"ref": "msugimura/full-preprocessing-tutorial", "kernel_id": "164503"}, {"ref": "msugimura/first-pass-through-data-w-3d-convnet", "kernel_id": "187739"}, {"ref": "tonychanyt/exploratory-data-analysis", "kernel_id": "164675"}, {"ref": "tonychanyt/testing-notebook", "kernel_id": "164655"}, {"ref": "tonychanyt/exploratory-data-analysis-0929a786", "kernel_id": "164793"}, {"ref": "tonychanyt/exploratory-data-analysis-e57702e8", "kernel_id": "164746"}, {"ref": "tonychanyt/the-perfect-score-script-adbb1211", "kernel_id": "166760"}, {"ref": "tonychanyt/the-perfect-score-script", "kernel_id": "166713"}, {"ref": "taylorwilliams/first-pass-through-data-w-3d-convnet", "kernel_id": "186519"}, {"ref": "sweellan/first-pass-through-data-w-3d-convnet", "kernel_id": "196101"}, {"ref": "sweellan/full-preprocessing-tutorial", "kernel_id": "196658"}, {"ref": "javalex/notebookb0ecb4c1a6", "kernel_id": "164371"}, {"ref": "takuyanakazato/full-preprocessing-tutorial", "kernel_id": "165524"}, {"ref": "stanislavushakov/resnet50-features-xgboost", "kernel_id": "221730"}, {"ref": "elisayao/singularity-is-great", "kernel_id": "218089"}, {"ref": "elisayao/fork-the-bowl-again", "kernel_id": "218071"}, {"ref": "elisayao/fork-the-bowl", "kernel_id": "218072"}, {"ref": "chestnut3108/notebook03033fc94f", "kernel_id": "187747"}, {"ref": "chestnut3108/notebook8a374e2cf6", "kernel_id": "187932"}, {"ref": "chestnut3108/exploring-lungs", "kernel_id": "244586"}, {"ref": "madpacute/notebook2898de60ca", "kernel_id": "170219"}, {"ref": "davidchansen/counting-files", "kernel_id": "162644"}, {"ref": "guoyao/first-pass-through-data-w-3d-convnet", "kernel_id": "184271"}, {"ref": "guoyao/full-preprocessing-tutorial-d44f9c", "kernel_id": "184292"}, {"ref": "guoyao/full-preprocessing-tutorial", "kernel_id": "175170"}, {"ref": "guoyao/exploratory-data-analysis", "kernel_id": "177954"}, {"ref": "guoyao/exploratory-data-analysis-2f9624a1", "kernel_id": "177957"}, {"ref": "allenfrostline/full-preprocessing-tutorial", "kernel_id": "164247"}, {"ref": "coaxecva/notebookcba450fef4", "kernel_id": "165117"}, {"ref": "kanubhav/notebookde902110b9", "kernel_id": "168687"}, {"ref": "pulkit8595/full-preprocessing-tutorial", "kernel_id": "160546"}, {"ref": "kharita/notebook1391240c7b", "kernel_id": "182385"}, {"ref": "kharita/fork-of-notebook66f033fd5c", "kernel_id": "182760"}, {"ref": "kharita/notebook2cf538a075", "kernel_id": "231337"}, {"ref": "kharita/notebook317e10b147", "kernel_id": "231340"}, {"ref": "kishoreo/notebookb80472d399", "kernel_id": "223470"}, {"ref": "maniyar2jaimin/exploratory-data-analysis-jaimin", "kernel_id": "159222"}, {"ref": "itstrevor/notebook4c04a9e3fa", "kernel_id": "193318"}, {"ref": "sololament/full-preprocessing-tutorial", "kernel_id": "186841"}, {"ref": "sololament/first-pass-through-data-w-3d-convnet", "kernel_id": "188287"}, {"ref": "yuqi17/notebookdc2b8132ba", "kernel_id": "171407"}, {"ref": "yassineben/full-preprocessing-tutorial", "kernel_id": "165649"}, {"ref": "ranjitanair/full-preprocessing-tutorial", "kernel_id": "178973"}, {"ref": "ranjitanair/candidate-generation-and-luna16-preprocessing", "kernel_id": "178976"}, {"ref": "ranjitanair/lung-cancer-detection", "kernel_id": "178967"}, {"ref": "ranjitanair/first-pass-through-data-w-3d-convnet", "kernel_id": "187100"}, {"ref": "ranjitanair/exploratory-data-analysis", "kernel_id": "187101"}, {"ref": "ranjitanair/full-preprocessing-tutorial-82441e", "kernel_id": "187102"}, {"ref": "ranjitanair/learning-1", "kernel_id": "235584"}, {"ref": "phuongpham/notebook52ee038f2e", "kernel_id": "158725"}, {"ref": "prajwal100/full-preprocessing-tutorial", "kernel_id": "190864"}, {"ref": "ggantos/notebook1d42041486", "kernel_id": "204342"}, {"ref": "yeoldefogey/notebookc6169a1048", "kernel_id": "186980"}, {"ref": "robertoruiz/knkioiboiboib", "kernel_id": "159278"}, {"ref": "robertoruiz/eda-1-obtaining-numbers", "kernel_id": "159261"}, {"ref": "robertoruiz/the-perfect-score-script", "kernel_id": "171183"}, {"ref": "jonathanjowen/full-preprocessing-tutorial", "kernel_id": "168778"}, {"ref": "amarnatht/testing", "kernel_id": "207527"}, {"ref": "courage/test1", "kernel_id": "174838"}, {"ref": "courage/notebooka651170fe1", "kernel_id": "174805"}, {"ref": "courage/the-perfect-score-script", "kernel_id": "174799"}, {"ref": "courage/notebookbcdd80e80c", "kernel_id": "174740"}, {"ref": "zfrysrylmz/full-preprocessing-tutorial", "kernel_id": "201173"}, {"ref": "moaazsidat/data-science-bowl-full-preprocessing-tutorial", "kernel_id": "214337"}, {"ref": "moaazsidat/1st-pass-through-data-w-3d-convnet", "kernel_id": "220145"}, {"ref": "tomdoitmourir/notebookda8bce0074", "kernel_id": "166253"}, {"ref": "sandymule/full-preprocessing-tutorial", "kernel_id": "176014"}, {"ref": "anisassad/full-preprocessing-tutorial", "kernel_id": "175269"}, {"ref": "yhmhmm/lung-cancer-full-preprocessing-tutorial", "kernel_id": "186796"}, {"ref": "devanxu/first-pass-through-data-w-3d-convnet", "kernel_id": "189570"}, {"ref": "devanxu/full-preprocessing-tutorial", "kernel_id": "189407"}, {"ref": "joelpendery/notebook43dad16360", "kernel_id": "166516"}, {"ref": "vmaiya/notebookeea24d114d", "kernel_id": "170290"}, {"ref": "pinweihelai/exploratory-data-analysis", "kernel_id": "158732"}, {"ref": "xgwong0815/full-preprocessing-tutorial", "kernel_id": "184267"}, {"ref": "mattstammers/full-preprocessing-tutorial", "kernel_id": "177449"}, {"ref": "meganwang/exploratory-data-analysis", "kernel_id": "191314"}, {"ref": "stefdoerr/full-preprocessing-tutorial-9126bc40", "kernel_id": "173448"}, {"ref": "stefdoerr/full-preprocessing-tutorial", "kernel_id": "171313"}, {"ref": "remirajao/full-preprocessing-tutorial", "kernel_id": "167341"}, {"ref": "remirajao/full-preprocessing-tutorial-copy", "kernel_id": "170033"}, {"ref": "jiangchanglong1991/notebook1a5e91b11f", "kernel_id": "224110"}, {"ref": "jiangchanglong1991/notebook5f065b691a", "kernel_id": "210025"}, {"ref": "jiangchanglong1991/notebook8bb237e220", "kernel_id": "183678"}, {"ref": "jiangchanglong1991/full-preprocessing-tutorial", "kernel_id": "183686"}, {"ref": "mandalalala/notebook4af71c91ac", "kernel_id": "199086"}, {"ref": "dskswu/lung-cancer-practice", "kernel_id": "259874"}, {"ref": "karora/notebookd46ac80aba", "kernel_id": "191685"}, {"ref": "karora/first-pass-through-data-w-3d-convnet", "kernel_id": "191691"}, {"ref": "karora/notebooka7970f34ce", "kernel_id": "191654"}, {"ref": "karora/full-preprocessing-tutorial", "kernel_id": "191659"}, {"ref": "karora/candidate-generation-and-luna16-preprocessing", "kernel_id": "191668"}, {"ref": "karora/notebooke835f57614", "kernel_id": "205264"}, {"ref": "karora/notebook15651eac69", "kernel_id": "205262"}, {"ref": "karora/notebook4121e1b5a1", "kernel_id": "204367"}, {"ref": "karora/notebookad6e4ce555", "kernel_id": "204389"}, {"ref": "pradnyachahande/notebooka141104ee6", "kernel_id": "231086"}, {"ref": "smbabapour/notebook14ccfc7516", "kernel_id": "166587"}, {"ref": "snk2210/full-preprocessing-tutorial", "kernel_id": "162795"}, {"ref": "howardyang/exploratory-data-analysis", "kernel_id": "166834"}, {"ref": "howardyang/lung-segmentation-and-candidate-points-generation", "kernel_id": "171066"}, {"ref": "ttusuresh/explorating-data", "kernel_id": "228965"}, {"ref": "linhaili/notebookc35e0d6ef2", "kernel_id": "163598"}, {"ref": "tottinar/notebookb11bde1733", "kernel_id": "159611"}, {"ref": "tottinar/notebookd56b20e1c0", "kernel_id": "159623"}, {"ref": "simsalabim/notebook1efeb2c6e5", "kernel_id": "201038"}, {"ref": "simsalabim/notebook64ae18fd68", "kernel_id": "203177"}, {"ref": "sexygalaxy/fast-exploratory-data-analysis-in-r", "kernel_id": "232545"}, {"ref": "mathewsavage/full-preprocessing-tutorial", "kernel_id": "170536"}, {"ref": "ellali1022/notebook65c66da9f9", "kernel_id": "203307"}, {"ref": "ellali1022/candidate-generation-and-luna16-preprocessing", "kernel_id": "228384"}, {"ref": "ellali1022/notebookae2b07030c", "kernel_id": "216136"}, {"ref": "arudhir/notebook2ae4c10cc3", "kernel_id": "160468"}, {"ref": "arudhir/notebookbf1ec26fbb", "kernel_id": "160471"}, {"ref": "a331698713/notebook7a868300b4", "kernel_id": "172667"}, {"ref": "rmsmith88/t12345", "kernel_id": "165601"}, {"ref": "ironfat/full-preprocessing-tutorial", "kernel_id": "161892"}, {"ref": "ksooklall/kaggle-data-science-bowl-2017", "kernel_id": "182237"}, {"ref": "boleszek/parallel-preprocessing-stage1-files", "kernel_id": "224610"}, {"ref": "boleszek/exploration", "kernel_id": "224975"}, {"ref": "ryanfang/full-preprocessing-tutorial", "kernel_id": "160179"}, {"ref": "pedropreto/notebook87484ff621", "kernel_id": "212681"}, {"ref": "srazylp/full-preprocessing-tutorial", "kernel_id": "163518"}, {"ref": "blevine1230/full-preprocessing-tutorial", "kernel_id": "167537"}, {"ref": "andreafonso/notebook59b4524306", "kernel_id": "186177"}, {"ref": "kalagz/full-preprocessing-tutorial", "kernel_id": "168577"}, {"ref": "brentfagan/full-preprocessing-tutorial", "kernel_id": "171159"}, {"ref": "chaoyue/loading-and-processing-the-sample-images-6054fad8", "kernel_id": "159731"}, {"ref": "chaoyue/loading-and-processing-the-sample-images", "kernel_id": "159705"}, {"ref": "vbhattad/notebookfa36709fe5", "kernel_id": "168591"}, {"ref": "lestrix/notebook7d5f0b551f", "kernel_id": "186664"}, {"ref": "alexanderpliskin/notebook3687d578b6", "kernel_id": "161132"}, {"ref": "brilee/full-preprocessing-tutorial-58839e", "kernel_id": "185467"}, {"ref": "brilee/full-preprocessing-tutorial", "kernel_id": "184517"}, {"ref": "schanda/my-first-dsb", "kernel_id": "158665"}, {"ref": "schanda/full-preprocessing-tutorial", "kernel_id": "166729"}, {"ref": "schanda/full-preprocessing-tutorial-c78088f2", "kernel_id": "166730"}, {"ref": "bobowang5/first-pass-through-data-w-3d-convnet", "kernel_id": "185867"}, {"ref": "shse77/testbowl", "kernel_id": "214871"}, {"ref": "willianufpr/full-preprocessing-tutorial", "kernel_id": "167236"}, {"ref": "spark007/first-pass-through-data-w-3d-convnet", "kernel_id": "186834"}, {"ref": "mdeguzman827/full-preprocessing-tutorial", "kernel_id": "187653"}, {"ref": "mdeguzman827/exploratory-data-analysis-b7f73a5e", "kernel_id": "175598"}, {"ref": "mdeguzman827/exploratory-data-analysis", "kernel_id": "175592"}, {"ref": "reemmahmoud93/notebookbbc5af8f02", "kernel_id": "222071"}, {"ref": "voldemirel/notebookb4b6d7458a", "kernel_id": "214700"}, {"ref": "sonicboom8/full-preprocessing-tutorial", "kernel_id": "169751"}, {"ref": "mickysaurio/improved-lung-segmentation-using-watershed", "kernel_id": "175190"}, {"ref": "ymshao/first-note", "kernel_id": "162010"}, {"ref": "ahtesham/full-preprocessing-tutorial-23248369", "kernel_id": "183464"}, {"ref": "ahtesham/full-preprocessing-tutorial", "kernel_id": "161862"}, {"ref": "ahtesham/notebookc984911b44", "kernel_id": "162711"}, {"ref": "carldawsonxyz/notebook98356fe1dc", "kernel_id": "220574"}, {"ref": "jeremythu12/full-preprocessing-tutorial", "kernel_id": "164649"}, {"ref": "angell/full-preprocessing-tutorial", "kernel_id": "221540"}, {"ref": "angell/candidate-generation-and-luna16-preprocessi-096ccc", "kernel_id": "221542"}, {"ref": "wentaozhu/improved-lung-segmentation-using-watershed", "kernel_id": "179461"}, {"ref": "moha5282/preprocessing-tutorial-lung-cancer", "kernel_id": "938716"}, {"ref": "tallbrian/breath-clear-by-helping-defeat-lung-cancer", "kernel_id": "161245"}, {"ref": "nubatama/notebooke2d2df614e", "kernel_id": "165452"}, {"ref": "darrellulm/full-preprocessing-tutorial", "kernel_id": "224229"}, {"ref": "gshevchuk/full-preprocessing-tutorial-continued", "kernel_id": "161041"}, {"ref": "gshevchuk/exploratory-data-analysis-expansion", "kernel_id": "159626"}, {"ref": "gshevchuk/testf", "kernel_id": "158960"}, {"ref": "gshevchuk/notebook943b8206f2", "kernel_id": "159003"}, {"ref": "zhuoliliang/notebook3f25c7ef79", "kernel_id": "166715"}, {"ref": "zhuoliliang/fork-full-preprocessing-tutorial", "kernel_id": "166728"}, {"ref": "aowal095/full-preprocessing-tutorial-5ffaba", "kernel_id": "203842"}, {"ref": "yousheng/notebook7ee720d693", "kernel_id": "222764"}, {"ref": "yousheng/notebookaa5c860580", "kernel_id": "202858"}, {"ref": "raquelmg/notebookd17dccfaf2", "kernel_id": "215327"}, {"ref": "napsa0125/full-preprocessing-tutorial", "kernel_id": "171074"}, {"ref": "napsa0125/full-preprocessing-tutorial-4ccb7da7", "kernel_id": "171078"}, {"ref": "daniel036/first-pass-through-data-w-3d-convnet-b8aad2", "kernel_id": "251322"}, {"ref": "daniel036/notebookefed12dfab", "kernel_id": "189055"}, {"ref": "daniel036/notebook60d220bfa0", "kernel_id": "189059"}, {"ref": "daniel036/notebooka75aa95ea2", "kernel_id": "189267"}, {"ref": "daniel036/notebook6372dda3d7", "kernel_id": "188332"}, {"ref": "kentsyx/first-pass-through-data-w-3d-convnet", "kernel_id": "193199"}, {"ref": "michaelma2014/full-preprocessing-tutorial", "kernel_id": "188417"}, {"ref": "michaelma2014/full-preprocessing-tutorial-247b39", "kernel_id": "188628"}, {"ref": "abdkat/notebook5047c9356b", "kernel_id": "194590"}, {"ref": "edgedetector/full-preprocessing-tutorial", "kernel_id": "169803"}, {"ref": "hafsanaciye/notebooka284a9dd56", "kernel_id": "226958"}, {"ref": "hafsanaciye/notebookb08cef32f6", "kernel_id": "220066"}, {"ref": "hafsanaciye/notebooka50e9ad0a6", "kernel_id": "220043"}, {"ref": "hafsanaciye/notebook9fefdc1417", "kernel_id": "252664"}, {"ref": "hafsanaciye/3d-cnn-t-sne", "kernel_id": "253538"}, {"ref": "hafsanaciye/notebook860df59bd0", "kernel_id": "253981"}, {"ref": "hitman47/lb-0-56130-resnet50-features-xgboost", "kernel_id": "223301"}, {"ref": "snehsals/notebookab053f9798", "kernel_id": "200807"}, {"ref": "kevinjoe/notebooke9c2abe80a", "kernel_id": "189624"}, {"ref": "kevinjoe/data-science-bowl-2017", "kernel_id": "189625"}, {"ref": "zainzin/notebook30b5b0b10e", "kernel_id": "181040"}, {"ref": "waykole/resnet50-features-xgboost-v9", "kernel_id": "227761"}, {"ref": "waykole/full-preprocessing-tutorial", "kernel_id": "171987"}, {"ref": "waykole/first-pass-through-data-w-3d-convnet", "kernel_id": "183429"}, {"ref": "waykole/notebookc149d603a7", "kernel_id": "183388"}, {"ref": "nolelin5/full-preprocessing-tutorial", "kernel_id": "196342"}, {"ref": "linhlinhking/test-preprocessing", "kernel_id": "202849"}, {"ref": "jixunchen/lung-segmentation-and-candidate-points-generation", "kernel_id": "171586"}, {"ref": "lunaguan/full-preprocessing-tutorial", "kernel_id": "220794"}, {"ref": "shadoe/full-preprocessing-tutorial", "kernel_id": "177921"}, {"ref": "twanmal/nodules-detection-with-opencv", "kernel_id": "212192"}, {"ref": "chenjunnuc/notebookcdac667265", "kernel_id": "196575"}, {"ref": "muralimnk/testing", "kernel_id": "185086"}, {"ref": "muralimnk/first-pass-through-data-w-3d-convnet", "kernel_id": "185088"}, {"ref": "zhaofenqiang/notebook792f386863", "kernel_id": "218324"}, {"ref": "xiaoyao70v/notebook8b969e8e8f", "kernel_id": "196480"}, {"ref": "rheerhee/notebook975963a991", "kernel_id": "164108"}, {"ref": "patryan/full-preprocessing-tutorial", "kernel_id": "161617"}, {"ref": "wenyafan/data-science", "kernel_id": "172196"}, {"ref": "wenyafan/full-preprocessing-tutorial", "kernel_id": "181248"}, {"ref": "bruceokallau/exploratory-data-analysis", "kernel_id": "158914"}, {"ref": "brandonhu/full-preprocessing-tutorial-practice", "kernel_id": "208695"}, {"ref": "dieden/notebooke7feb19711", "kernel_id": "178891"}, {"ref": "iijjkk/full-preprocessing-tutorial", "kernel_id": "187684"}, {"ref": "kalind/full-preprocessing-tutorial", "kernel_id": "174330"}, {"ref": "kalind/the-perfect-score-script", "kernel_id": "174332"}, {"ref": "mvanikeev/notebook776c73be9a", "kernel_id": "159112"}, {"ref": "xn0px90/data-bowl", "kernel_id": "158952"}, {"ref": "xn0px90/notebook3a514a5496", "kernel_id": "164719"}, {"ref": "xn0px90/notebook9792a1c1ef", "kernel_id": "164716"}, {"ref": "xn0px90/234wefwedcc", "kernel_id": "164707"}, {"ref": "fabianfrie/full-preprocessing-tutorial", "kernel_id": "180878"}, {"ref": "lin538x/asdafasdfsaf", "kernel_id": "173122"}, {"ref": "lin538x/full-preprocessing-tutorial", "kernel_id": "173125"}, {"ref": "jstzhyd/notebook6f5a326d75", "kernel_id": "187719"}, {"ref": "mferara/notebook32c3974eeb", "kernel_id": "159382"}, {"ref": "amik1992/notebookf8d021891e", "kernel_id": "189965"}, {"ref": "jimwest/full-preprocessing-tutorial", "kernel_id": "160917"}, {"ref": "negtitep/full-preprocessing-tutorial", "kernel_id": "164641"}, {"ref": "hantah/full-preprocessing-tutorial-66a4cd", "kernel_id": "196624"}, {"ref": "hantah/full-preprocessing-tutorial", "kernel_id": "195399"}, {"ref": "indianotaku/nero-midterm", "kernel_id": "219852"}, {"ref": "kevincc/full-preprocessing-tutorial", "kernel_id": "174617"}, {"ref": "changbinlu/yezimama", "kernel_id": "176449"}, {"ref": "sudoprime/exploratory-data-analysis", "kernel_id": "165366"}, {"ref": "sudoprime/explore-digital-imaging-and-communications-in-med", "kernel_id": "165368"}, {"ref": "sudoprime/full-preprocessing-tutorial", "kernel_id": "165356"}, {"ref": "iteglas/notebookc2a8cb422a", "kernel_id": "165142"}, {"ref": "iteglas/notebook5b8b157820", "kernel_id": "165129"}, {"ref": "jasshouchen/notebookc0eca20b47", "kernel_id": "224101"}, {"ref": "mlu821/notebook84ee00a39b", "kernel_id": "224120"}, {"ref": "mlu821/notebook48a4adee06", "kernel_id": "222512"}, {"ref": "andreybesedin/notebook3a4858305b", "kernel_id": "164106"}, {"ref": "s55082/tensorflow-study-2", "kernel_id": "182350"}, {"ref": "s55082/notebook504bb07665", "kernel_id": "182356"}, {"ref": "s55082/study", "kernel_id": "182362"}, {"ref": "s55082/notebook5defc1c80c", "kernel_id": "182363"}, {"ref": "s55082/notebook46d1aa02d4", "kernel_id": "182278"}, {"ref": "s55082/notebook6a12fc00ae", "kernel_id": "182263"}, {"ref": "elamarre/notebook15854ed619", "kernel_id": "198311"}, {"ref": "kh0828/notebook02b87cf86e", "kernel_id": "269971"}, {"ref": "craigsmart/notebooke0b48bb6ab", "kernel_id": "163203"}, {"ref": "craigsmart/ds-bowl-review-u-net-segmentation-tutorial", "kernel_id": "163205"}, {"ref": "rcontesti/data-science-bowl-try", "kernel_id": "258004"}, {"ref": "prateekparkash1/notebook0b6f8f5088", "kernel_id": "223807"}, {"ref": "jackyguo77/notebookaac5511d79", "kernel_id": "222645"}, {"ref": "jackyguo77/notebookd843b1361b", "kernel_id": "222651"}, {"ref": "tecx20/full-preprocessing-tutorial", "kernel_id": "206466"}, {"ref": "simonsez/notebook3be9709d04", "kernel_id": "188706"}, {"ref": "ddistasio/exploratory-data-analysis", "kernel_id": "173507"}, {"ref": "soniahinson/full-preprocessing-tutorial", "kernel_id": "167501"}, {"ref": "vikingy/notebook08127e68e4", "kernel_id": "231821"}, {"ref": "vikingy/testss", "kernel_id": "231823"}, {"ref": "vahidet/full-preprocessing-tutorial", "kernel_id": "161956"}, {"ref": "bsaleh/notebooke9d8f9dafd", "kernel_id": "163775"}, {"ref": "bsaleh/the-perfect-score-script", "kernel_id": "163778"}, {"ref": "bsaleh/the-perfect-score-script-4442f9c1", "kernel_id": "179362"}, {"ref": "cherry007/notebook1bffb33dc6", "kernel_id": "182459"}, {"ref": "cherry007/full-preprocessing-tutorial", "kernel_id": "182525"}, {"ref": "cherry007/full-preprocessing-tutorial-42d6e9", "kernel_id": "188161"}, {"ref": "cherry007/full-preprocessing-tutorial-feb381", "kernel_id": "188155"}, {"ref": "shipilov/notebookbbd6cb7b8e", "kernel_id": "174835"}, {"ref": "shipilov/notebookec71c2ea4e", "kernel_id": "174858"}, {"ref": "shipilov/notebook2a8d8218ea", "kernel_id": "174222"}, {"ref": "shipilov/notebook2cd3889843", "kernel_id": "174218"}, {"ref": "wrhuang/full-preprocessing-tutorial", "kernel_id": "170154"}, {"ref": "rpoudel3/full-preprocessing-tutorial", "kernel_id": "164515"}, {"ref": "hkolakaleti/full-preprocessing-tutorial", "kernel_id": "184641"}, {"ref": "minus100/ds-bowl-review-u-net-segmentation-tutorial", "kernel_id": "203967"}, {"ref": "tsaingra/full-preprocessing-tutorial", "kernel_id": "185311"}, {"ref": "dreaderr/full-preprocessing-tutorial", "kernel_id": "162819"}, {"ref": "varyans/notebookf778d761f4", "kernel_id": "170185"}, {"ref": "adamaleksander/first-kaggle-tutorial", "kernel_id": "193264"}, {"ref": "jyotirmayee/notebook66b4ab7858", "kernel_id": "158896"}, {"ref": "bogtudose/exploratory-data-analysis", "kernel_id": "192917"}, {"ref": "moisesrazeira/full-preprocessing-tutorial", "kernel_id": "170259"}, {"ref": "willblock/full-preprocessing-tutorial", "kernel_id": "184808"}, {"ref": "hfaouaz/notebookcba1010a5b", "kernel_id": "173676"}, {"ref": "nadiiap/full-preprocessing-tutorial", "kernel_id": "194634"}, {"ref": "z0mbie/exploratory-data-analysis-7e0c209c", "kernel_id": "158787"}, {"ref": "z0mbie/exploratory-data-analysis", "kernel_id": "158777"}, {"ref": "z0mbie/chest-cavity-animation-with-pacemaker", "kernel_id": "158987"}, {"ref": "currenkatz/improved-lung-segmentation-using-watershed", "kernel_id": "175979"}, {"ref": "ashish21/first-pass-through-data-w-3d-convnet", "kernel_id": "179852"}, {"ref": "ashish21/first-pass-through-data-w-3d-convnet-93581a", "kernel_id": "196960"}, {"ref": "lbdcdb/notebook9194e4dbe9", "kernel_id": "160828"}, {"ref": "unicornmarkets/exploratory-data-analysis", "kernel_id": "163549"}, {"ref": "unicornmarkets/full-preprocessing-tutorial", "kernel_id": "161955"}, {"ref": "zhanglun/notebooke62fa8ac1f", "kernel_id": "208907"}, {"ref": "puremath86/full-preprocessing-tutorial-1f46fe73", "kernel_id": "163974"}, {"ref": "puremath86/exploratory-data-analysis-8be95eeb", "kernel_id": "163970"}, {"ref": "puremath86/exploratory-data-analysis", "kernel_id": "163953"}, {"ref": "puremath86/exploratory-data-analysis-c1055291", "kernel_id": "163954"}, {"ref": "puremath86/cancer2", "kernel_id": "164001"}, {"ref": "puremath86/full-preprocessing-tutorial", "kernel_id": "163944"}, {"ref": "liyufeiat001/full-preprocessing-tutorial", "kernel_id": "162465"}, {"ref": "chunfuyeh/notebook3821a41ce8", "kernel_id": "249324"}, {"ref": "pelhans/full-preprocessing-tutorial", "kernel_id": "166898"}, {"ref": "dineshsellathamby/lung-segmentation", "kernel_id": "167805"}, {"ref": "dineshsellathamby/lung-cancer-full-preprocessing-tutorial", "kernel_id": "167807"}, {"ref": "lucasvenez/full-preprocessing-tutorial", "kernel_id": "174694"}, {"ref": "hannahlight/notebooka0fbfb7ca8", "kernel_id": "172974"}, {"ref": "guangzhe/notebook2103d03ee0", "kernel_id": "169169"}, {"ref": "arnabdey/exploratory-data-analysis", "kernel_id": "196213"}, {"ref": "arnabdey/resnet50-features-xgboost", "kernel_id": "221920"}, {"ref": "dorahuang/full-preprocessing-tutorial", "kernel_id": "176579"}, {"ref": "mumech/loading-and-processing-the-sample-images", "kernel_id": "158700"}, {"ref": "kirasev/notebookccadd4b06f", "kernel_id": "233970"}, {"ref": "pylin1/notebookaca08d09f8", "kernel_id": "181770"}, {"ref": "pylin1/first-pass-through-data-w-3d-convnet", "kernel_id": "181814"}, {"ref": "sling1678/notebookbdb186144c", "kernel_id": "164753"}, {"ref": "dotanrs/notebookad4f23c2ee", "kernel_id": "238013"}, {"ref": "aviavi/notebook3d5e7823d5", "kernel_id": "237335"}, {"ref": "chitro/chest-cavity-animation-with-pacemaker", "kernel_id": "159541"}, {"ref": "chitro/the-perfect-score-script", "kernel_id": "166731"}, {"ref": "chitro/testcn", "kernel_id": "166719"}, {"ref": "nishalpereira/first-pass-through-data-w-3d-convnet", "kernel_id": "188637"}, {"ref": "philipfry/full-preprocessing-tutorial", "kernel_id": "181742"}, {"ref": "kkrehl/full-preprocessing-tutorial", "kernel_id": "160296"}, {"ref": "kkrehl/exploratory-data-analysis", "kernel_id": "159711"}, {"ref": "kkrehl/full-preprocessing-tutorial-82f202b4", "kernel_id": "168085"}, {"ref": "aaronalexander/full-preprocessing-tutorial", "kernel_id": "170205"}, {"ref": "wencyang/exploratory-data-analysis", "kernel_id": "165844"}, {"ref": "gaurub/exploratory-data-analysis", "kernel_id": "159178"}, {"ref": "koii7131/notebookdc641add46", "kernel_id": "193867"}, {"ref": "funkyfog/full-preprocessing-tutorial", "kernel_id": "162748"}, {"ref": "kwu2018/full-preprocessing-tutorial", "kernel_id": "195576"}, {"ref": "intelpen/candidate-generation-and-luna16-preprocessing", "kernel_id": "191660"}, {"ref": "intelpen/first-pass-through-data-w-3d-convnet", "kernel_id": "191657"}, {"ref": "intelpen/full-preprocessing-tutorial-5b1b39", "kernel_id": "191182"}, {"ref": "intelpen/my-first-try", "kernel_id": "177509"}, {"ref": "melbatya/notebook4ebb0661fe", "kernel_id": "159528"}, {"ref": "edword/notebook47bf759489", "kernel_id": "261438"}, {"ref": "edword/notebook58b287b317", "kernel_id": "261442"}, {"ref": "quantumplative/notebook3f5328ae25", "kernel_id": "186688"}, {"ref": "quantumplative/exploring-the-lungs", "kernel_id": "186695"}, {"ref": "kaiven/full-preprocessing-tutorial", "kernel_id": "177215"}, {"ref": "mpsowb/notebook8e1ff17290", "kernel_id": "162157"}, {"ref": "gdvj01/full-preprocessing-tutorial", "kernel_id": "191212"}, {"ref": "samfreitas/full-preprocessing-tutorial", "kernel_id": "173883"}, {"ref": "lynnpo/improved-lung-segmentation-using-watershed", "kernel_id": "179828"}, {"ref": "lynnpo/full-preprocessing-tutorial", "kernel_id": "179845"}, {"ref": "ilknuricke/ds-bowl-review-u-net-segmentation-tutorial", "kernel_id": "171930"}, {"ref": "anilhk/the-perfect-score-script", "kernel_id": "171722"}, {"ref": "anilhk/the-perfect-score-script-9ac0dbd3", "kernel_id": "174957"}, {"ref": "anilhk/first-script-for-finding-accuracy-using-tf", "kernel_id": "184166"}, {"ref": "ecnuykh/full-preprocessing-tutorial", "kernel_id": "173065"}, {"ref": "kongsea/full-preprocessing-tutorial", "kernel_id": "163886"}, {"ref": "kreczko/full-preprocessing-tutorial", "kernel_id": "180203"}, {"ref": "minnaac/full-preprocessing-tutorial", "kernel_id": "164326"}, {"ref": "begreen/intro-1", "kernel_id": "162674"}, {"ref": "mtmoncur/notebook861591a1b2", "kernel_id": "162123"}, {"ref": "mtmoncur/full-preprocessing-tutorial", "kernel_id": "175632"}, {"ref": "blgnksy/notebook3cb915c2f9", "kernel_id": "225029"}, {"ref": "blgnksy/notebookcf672732a4", "kernel_id": "225017"}, {"ref": "jerryhe7/full-preprocessing-tutorial", "kernel_id": "164626"}, {"ref": "aiperceptor/full-preprocessing-tutorial", "kernel_id": "166869"}, {"ref": "aiperceptor/lung-segmentation-and-candidate-points-generation", "kernel_id": "172366"}, {"ref": "athorat/full-preprocessing-tutorial", "kernel_id": "173822"}, {"ref": "deepank/first-pass-through-data-w-3d-convnet", "kernel_id": "182808"}, {"ref": "yroohani/notebook810dcbbb49", "kernel_id": "265756"}, {"ref": "lkmokadam/notebook2477316b45", "kernel_id": "164135"}, {"ref": "braindead12/notebookc8bbf35619", "kernel_id": "222016"}, {"ref": "braindead12/3d-convolutional-neural-network-w-o-programming", "kernel_id": "221887"}, {"ref": "syncingrhythms/full-preprocessing-tutorial", "kernel_id": "163681"}, {"ref": "syncingrhythms/full-preprocessing-tutorial-8c2b77fa", "kernel_id": "173688"}, {"ref": "syncingrhythms/lung-segmentation-and-candidate-points-generation", "kernel_id": "173761"}, {"ref": "syncingrhythms/candidate-generation-and-luna16-preprocessing", "kernel_id": "175401"}, {"ref": "syncingrhythms/improved-lung-segmentation-using-watershed", "kernel_id": "174662"}, {"ref": "wmorrill/full-preprocessing-tutorial", "kernel_id": "166770"}, {"ref": "priyankjain/notebook6c36d25510", "kernel_id": "188163"}, {"ref": "meefly/exploratory-data-analysis", "kernel_id": "160161"}, {"ref": "liquarc/exploratory-data-analysis", "kernel_id": "159649"}, {"ref": "mvolodin/firstscript", "kernel_id": "159303"}, {"ref": "ashideldar/full-preprocessing-tutorial", "kernel_id": "161002"}, {"ref": "ashideldar/lung-segmentation-and-candidate-points-generation", "kernel_id": "174595"}, {"ref": "dangquanghieu/first-pass-through-data-w-3d-convnet", "kernel_id": "192056"}, {"ref": "shevva/resnet50-features-xgboost1111", "kernel_id": "215499"}, {"ref": "ankushreddy/full-preprocessing-tutorial", "kernel_id": "160540"}, {"ref": "needavacation/notebook78e73ba1f4", "kernel_id": "163756"}, {"ref": "shivam9654/first-pass-through-data-w-3d-convnet", "kernel_id": "197131"}, {"ref": "shivam9654/full-preprocessing-tutorial-519988", "kernel_id": "198439"}, {"ref": "taranveer/notebookfa70097ac0", "kernel_id": "203493"}, {"ref": "manigandanv/increase-accuracy-by-increasing-the-hidden-layers", "kernel_id": "222710"}, {"ref": "manigandanv/notebooke651c6d53e", "kernel_id": "190010"}, {"ref": "catchpushkar/notebook59a19b0755", "kernel_id": "197557"}, {"ref": "jackzzj/exploratory-data-analysis", "kernel_id": "159807"}, {"ref": "guoxuyang/the-perfect-score-script-d902ae", "kernel_id": "197130"}, {"ref": "prosun/notebook7e108f0dad", "kernel_id": "162295"}, {"ref": "tachyonajith/full-preprocessing-tutorial", "kernel_id": "188051"}, {"ref": "tachyonajith/full-preprocessing-tutorial-ddf5a9", "kernel_id": "188053"}, {"ref": "zoeliu/loading-and-processing-the-sample-images", "kernel_id": "158958"}, {"ref": "kassidiegoddard/lung-cancer-detection", "kernel_id": "169775"}, {"ref": "naturalstupidity/full-preprocessing-tutorial", "kernel_id": "168000"}, {"ref": "gainasomuns/exploratory-data-analysis", "kernel_id": "159867"}, {"ref": "gainasomuns/exploratory-data-analysis-b2e82a54", "kernel_id": "159920"}, {"ref": "gainasomuns/exploratory-data-analysis-13e10446", "kernel_id": "161522"}, {"ref": "maaryaam/notebookc3e7ee546c", "kernel_id": "159502"}, {"ref": "slevente/notebookbb3a4bb4e9", "kernel_id": "158832"}, {"ref": "grittyy/exploratory-analysis-visualization", "kernel_id": "159836"}, {"ref": "grittyy/full-preprocessing-tutorial", "kernel_id": "160621"}, {"ref": "grittyy/full-preprocessing-tutorial-5976695e", "kernel_id": "161335"}, {"ref": "grittyy/notebook3c97cc7e7f", "kernel_id": "161329"}, {"ref": "grittyy/lb-0-56130-resnet50-features-xgboost", "kernel_id": "161321"}, {"ref": "grittyy/overfitting-the-leaderboard", "kernel_id": "164031"}, {"ref": "qwerty1434/full-preprocessing-tutorial", "kernel_id": "165463"}, {"ref": "subcosmos/full-preprocessing-tutorial", "kernel_id": "168060"}, {"ref": "devintaylor/loading-and-processing-the-sample-images", "kernel_id": "165097"}, {"ref": "warlockor/notebooka7bf63e7ad", "kernel_id": "159103"}, {"ref": "kapilyadav/notebookaa485abd19", "kernel_id": "171029"}, {"ref": "kapilyadav/full-preprocessing-tutorial", "kernel_id": "163393"}, {"ref": "aaa789/notebook617a940b37", "kernel_id": "159188"}, {"ref": "toomanyqs/exploratory-data-analysis", "kernel_id": "159197"}, {"ref": "miroslavln/full-preprocessing-tutorial", "kernel_id": "170794"}, {"ref": "mihaidanielvirna/notebook5fd0c88ffa", "kernel_id": "206434"}, {"ref": "schlch/exploratory-data-analysis-ff50e4d5", "kernel_id": "160002"}, {"ref": "schlch/notebookebe281707c", "kernel_id": "159300"}, {"ref": "schlch/exploratory-data-analysis", "kernel_id": "159301"}, {"ref": "rquintino/fast-lung-segmentation-roi-search-features-calc", "kernel_id": "229127"}, {"ref": "rquintino/cntk-and-lightgbm-quick-start", "kernel_id": "173580"}, {"ref": "srujana1108/full-preprocessing-tutorial", "kernel_id": "244041"}, {"ref": "zksharp48/exploratory-data-analysis", "kernel_id": "162051"}, {"ref": "zksharp48/full-preprocessing-tutorial", "kernel_id": "161202"}, {"ref": "zksharp48/full-preprocessing-tutorial-8047465c", "kernel_id": "162982"}, {"ref": "zksharp48/full-preprocessing-tutorial-92ee843b", "kernel_id": "162955"}, {"ref": "zksharp48/first-pass-through-data-w-3d-convnet", "kernel_id": "204637"}, {"ref": "swishswish/notebook22a9528e90", "kernel_id": "229923"}, {"ref": "swishswish/notebook2e3c9981ab", "kernel_id": "168029"}, {"ref": "shuangliu/the-perfect-score-script", "kernel_id": "166026"}, {"ref": "mdinardo/full-preprocessing-tutorial-0d43c738", "kernel_id": "161072"}, {"ref": "mdinardo/full-preprocessing-tutorial", "kernel_id": "160368"}, {"ref": "mdinardo/full-preprocessing-tutorial-09b58d48", "kernel_id": "160369"}, {"ref": "nrejue/testscript", "kernel_id": "159660"}, {"ref": "chenquan/notebook08477d9a02", "kernel_id": "160707"}, {"ref": "courins/notebook04d4a07369", "kernel_id": "161381"}, {"ref": "courins/full-preprocessing-tutorial", "kernel_id": "162309"}, {"ref": "courins/full-preprocessing-tutorial-67230417", "kernel_id": "162310"}, {"ref": "frankong/full-preprocessing-tutorial", "kernel_id": "164615"}, {"ref": "pachinko/candidate-generation-and-luna16-preprocessing", "kernel_id": "221306"}, {"ref": "pachinko/notebookf718254d79", "kernel_id": "224103"}, {"ref": "pachinko/notebook1e07eb6be3", "kernel_id": "223584"}, {"ref": "wzou99/lung-cancer-detection", "kernel_id": "161190"}, {"ref": "wuzhengfang/full-preprocessing-tutorial", "kernel_id": "168418"}, {"ref": "trisolaran/notebookee51833881", "kernel_id": "170268"}, {"ref": "trisolaran/lung-segmentation-and-candidate-points-generation", "kernel_id": "170261"}, {"ref": "aasensio/notebook204b13794b", "kernel_id": "160310"}, {"ref": "negatu/lung-cancer-detection", "kernel_id": "166456"}, {"ref": "negatu/notebook9c7f99b775", "kernel_id": "166506"}, {"ref": "statz0mbie/notebook882e13840f", "kernel_id": "186600"}, {"ref": "tsung2017/notebooke686b7c1b8", "kernel_id": "162148"}, {"ref": "coroscop/full-preprocessing-tutorial", "kernel_id": "161773"}, {"ref": "xyq676419/notebook9ce70e851a", "kernel_id": "162160"}, {"ref": "xyq676419/the-perfect-score-script", "kernel_id": "177674"}, {"ref": "kittymagic/candidate-generation-and-luna16-preprocessing", "kernel_id": "175104"}, {"ref": "ecnuljc/full-preprocessing-tutorial", "kernel_id": "169199"}, {"ref": "ecnuljc/lun-cancer", "kernel_id": "169202"}, {"ref": "catbur/full-preprocessing-tutorial", "kernel_id": "160775"}, {"ref": "yaktaurus/notebook8b683d60fd", "kernel_id": "161676"}, {"ref": "mingya/my-notebook", "kernel_id": "161078"}, {"ref": "mingya/full-preprocessing-tutorial", "kernel_id": "161087"}, {"ref": "tinkerofwales/notebookd5ce58b4b1", "kernel_id": "192512"}, {"ref": "flaviostutz/notebook6bdf7987d3", "kernel_id": "178427"}, {"ref": "flaviostutz/notebookc833256d8c", "kernel_id": "178428"}, {"ref": "flaviostutz/notebookc6b8c1be79", "kernel_id": "162016"}, {"ref": "felicialiu/full-preprocessing-tutorial-47e68485", "kernel_id": "178214"}, {"ref": "felicialiu/full-preprocessing-tutorial", "kernel_id": "175791"}, {"ref": "felicialiu/full-preprocessing-tutorial-a20f9454", "kernel_id": "175796"}, {"ref": "felicialiu/full-preprocessing-tutorial-30c92d45", "kernel_id": "175824"}, {"ref": "felicialiu/first-pass-through-data-w-3d-convnet", "kernel_id": "183612"}, {"ref": "felicialiu/the-perfect-score-script", "kernel_id": "183617"}, {"ref": "richren/exploratory-data-analysis", "kernel_id": "163096"}, {"ref": "richren/full-preprocessing-tutorial", "kernel_id": "163098"}, {"ref": "zongweimayo/candidate-generation-and-luna16-preprocessing", "kernel_id": "197348"}, {"ref": "paulamoura/notebook-de-paula", "kernel_id": "163788"}, {"ref": "boosting/candidate-generation-and-luna16-preprocessing", "kernel_id": "181657"}, {"ref": "boosting/lung-segmentation-and-candidate-points-generation", "kernel_id": "171752"}, {"ref": "ligonguo/full-preprocessing-tutorial-145397", "kernel_id": "194912"}, {"ref": "ligonguo/full-preprocessing-tutorial", "kernel_id": "194211"}, {"ref": "aerolabs/full-preprocessing-tutorial", "kernel_id": "161902"}, {"ref": "aerolabs/full-preprocessing-tutorial-8204666b", "kernel_id": "162019"}, {"ref": "dannie007zxl/full-preprocessing-tutorial", "kernel_id": "161369"}, {"ref": "annasmith370/test1", "kernel_id": "161353"}, {"ref": "lpzhang/full-preprocessing-tutorial", "kernel_id": "161375"}, {"ref": "lpzhang/full-preprocessing-tutorial-e4073a00", "kernel_id": "161377"}, {"ref": "thanhhoai/notebookadba75b23d", "kernel_id": "171497"}, {"ref": "akoriagin/full-preprocessing-tutorial-574c5f1b", "kernel_id": "162938"}, {"ref": "akoriagin/full-preprocessing-tutorial", "kernel_id": "161588"}, {"ref": "lhzpaese/full-preprocessing-tutorial-3e645db6", "kernel_id": "161699"}, {"ref": "lhzpaese/full-preprocessing-tutorial", "kernel_id": "161680"}, {"ref": "tiagostutz/begin-with-loading-and-processing-the-samples", "kernel_id": "163883"}, {"ref": "tiagostutz/notebookefb159a524", "kernel_id": "163878"}, {"ref": "tiagostutz/notebook9bc5e92d71", "kernel_id": "163879"}, {"ref": "linpengchao2017/video-with-lungs-in-3-axes-notebook", "kernel_id": "166817"}, {"ref": "filipecosta/keras-lung-cancer-test", "kernel_id": "170008"}, {"ref": "filipecosta/notebook1ab4b97785", "kernel_id": "170003"}, {"ref": "lazysourday/full-preprocessing-tutorial", "kernel_id": "161639"}, {"ref": "angatpuri/notebook6aaa6facf6", "kernel_id": "199590"}, {"ref": "alvesjtiago/full-preprocessing-tutorial", "kernel_id": "162053"}, {"ref": "rogertrullo/full-preprocessing-tutorial", "kernel_id": "161913"}, {"ref": "deetakh1/notebook59db47e9d1", "kernel_id": "170618"}, {"ref": "haxpes/full-preprocessing-tutorial", "kernel_id": "172161"}, {"ref": "ellatenbarge/notebook8ffab8a694", "kernel_id": "186136"}, {"ref": "chenye84/full-preprocessing-tutorial", "kernel_id": "165434"}, {"ref": "bboyseiok/lung-segmentation-and-candidate-points-generation", "kernel_id": "171622"}, {"ref": "purpleslz/notebook583d821daa", "kernel_id": "162393"}, {"ref": "httbser/kaggle-first-step", "kernel_id": "261806"}, {"ref": "junhorng/notebook9b8972a6be", "kernel_id": "165035"}, {"ref": "fabriziodefausti/full-preprocessing-tutorial-f139331a", "kernel_id": "170994"}, {"ref": "benalbert/notebook44d73965e4", "kernel_id": "162979"}, {"ref": "chy1000/notebook615c4ff1bc", "kernel_id": "167676"}, {"ref": "biterbilen/example", "kernel_id": "163001"}, {"ref": "shangxue/full-preprocessing-tutorial", "kernel_id": "185126"}, {"ref": "shangxue/first-pass-through-data-w-3d-convnet", "kernel_id": "192789"}, {"ref": "shangxue/full-preprocessing-tutorial-bba8c4", "kernel_id": "191486"}, {"ref": "lucy00/full-preprocessing-tutorial", "kernel_id": "164841"}, {"ref": "datasciencekrk/loading-and-processing-the-sample-images", "kernel_id": "164934"}, {"ref": "lhincenberga/nodules-detection-with-opencv", "kernel_id": "212654"}, {"ref": "lhincenberga/full-preprocessing-tutorial", "kernel_id": "167935"}, {"ref": "lhincenberga/full-preprocessing-tutorial-7450f18c", "kernel_id": "171150"}, {"ref": "lhincenberga/the-perfect-score-script", "kernel_id": "171306"}, {"ref": "lhincenberga/nodules-segmentation", "kernel_id": "171297"}, {"ref": "lhincenberga/full-preprocessing-tutorial-124cb22a", "kernel_id": "175031"}, {"ref": "yuvalsh/notebookae4c30c52b", "kernel_id": "164224"}, {"ref": "fresayuan/notebookafe038c662", "kernel_id": "224215"}, {"ref": "dmyaogq/notebookee6d45e943", "kernel_id": "164056"}, {"ref": "dmyaogq/notebooke4ee3699e5", "kernel_id": "164058"}, {"ref": "gmorina/notebookc54dbda2dd", "kernel_id": "177408"}, {"ref": "gmorina/notebookeb14e25788", "kernel_id": "177396"}, {"ref": "gmorina/notebookc3ded3b101", "kernel_id": "177325"}, {"ref": "gmorina/abc-pmc", "kernel_id": "177330"}, {"ref": "gmorina/abc-pmc-working", "kernel_id": "177333"}, {"ref": "guillonjeremy/notebook52d33a1286", "kernel_id": "170457"}, {"ref": "qige96/full-preprocessing-tutorial", "kernel_id": "170347"}, {"ref": "qige96/full-preprocessing-tutorial-c89d905c", "kernel_id": "175858"}, {"ref": "chloepont/notebook610e96c9d4", "kernel_id": "176492"}, {"ref": "nickmonto/full-preprocessing-tutorial", "kernel_id": "167941"}, {"ref": "gauravag/full-preprocessing-tutorial", "kernel_id": "163656"}, {"ref": "yxl1149/notebook531850e934", "kernel_id": "169598"}, {"ref": "yxl1149/loading-and-processing-the-sample-images", "kernel_id": "172865"}, {"ref": "yxl1149/notebook4475d30c95", "kernel_id": "170766"}, {"ref": "jonathanberrebi/full-preprocessing-tutorial-23b14051", "kernel_id": "172550"}, {"ref": "jonathanberrebi/full-preprocessing-tutorial", "kernel_id": "171268"}, {"ref": "caovannguyen/full-preprocessing-tutorial", "kernel_id": "181085"}, {"ref": "caovannguyen/my-notebook", "kernel_id": "181092"}, {"ref": "caovannguyen/candidate-generation-and-luna16-preprocessing", "kernel_id": "189343"}, {"ref": "caovannguyen/first-pass-through-data-w-3d-convnet", "kernel_id": "189335"}, {"ref": "caovannguyen/first-pass-through-data-w-3d-convnet-594b90", "kernel_id": "189534"}, {"ref": "caovannguyen/improved-lung-segmentation-using-watershed", "kernel_id": "189552"}, {"ref": "caovannguyen/improved-lung-segmentation-using-watershed-052b85", "kernel_id": "189553"}, {"ref": "yangyin/notebook130ac0d959", "kernel_id": "169934"}, {"ref": "andregrobbelaar/notebook33c3d70dfb", "kernel_id": "164273"}, {"ref": "andregrobbelaar/getting-going-notebook", "kernel_id": "164275"}, {"ref": "andregrobbelaar/my-first-attempt", "kernel_id": "164249"}, {"ref": "andregrobbelaar/notebook7411a189ca", "kernel_id": "164250"}, {"ref": "andregrobbelaar/copy-of-guido-s-notebook", "kernel_id": "164874"}, {"ref": "mylincs/full-preprocessing-tutorial", "kernel_id": "175517"}, {"ref": "ankasor/improved-lung-segmentation-using-watershed", "kernel_id": "168103"}, {"ref": "ankasor/notebook74bc5d0e8d", "kernel_id": "167037"}, {"ref": "chriscolumb/notebooke824fb8dc3", "kernel_id": "164430"}, {"ref": "kuanwang/full-preprocessing-tutorial", "kernel_id": "165225"}, {"ref": "adl1995/notebook983512f881", "kernel_id": "180413"}, {"ref": "andrewmerrill/first-pass-through-data-w-3d-convnet", "kernel_id": "183910"}, {"ref": "andrewmerrill/candidate-generation-and-luna16-preprocessi-c60cdb", "kernel_id": "221191"}, {"ref": "andrewmerrill/full-preprocessing-tutorial", "kernel_id": "168594"}, {"ref": "andrewmerrill/full-preprocessing-tutorial-adab9f5c", "kernel_id": "173809"}, {"ref": "andrewmerrill/the-perfect-score-script", "kernel_id": "174312"}, {"ref": "andrewmerrill/improved-lung-segmentation-using-watershed", "kernel_id": "174313"}, {"ref": "andrewmerrill/lung-segmentation-and-candidate-points-generation", "kernel_id": "174314"}, {"ref": "andrewmerrill/exploratory-data-analysis", "kernel_id": "174316"}, {"ref": "nannapanenir/just-a-fork-and-trial", "kernel_id": "165007"}, {"ref": "cridenour/full-preprocessing-tutorial", "kernel_id": "164637"}, {"ref": "jesshermosillo/full-preprocessing-tutorial", "kernel_id": "180435"}, {"ref": "jasonyou0907/loading-and-processing-the-sample-images", "kernel_id": "180247"}, {"ref": "allmin/fork-of-improved-lung-segmentation-using-watershed", "kernel_id": "179262"}, {"ref": "hxianxian/notebookb64663252d", "kernel_id": "168376"}, {"ref": "hxianxian/notebook44036a5d69", "kernel_id": "168377"}, {"ref": "billqhdp/full-preprocessing-tutorial-e8bb34ac", "kernel_id": "175567"}, {"ref": "billqhdp/full-preprocessing-tutorial", "kernel_id": "175487"}, {"ref": "billqhdp/first-pass-through-data-w-3d-convnet", "kernel_id": "185111"}, {"ref": "billqhdp/full-preprocessing-tutorial-d702b7", "kernel_id": "185149"}, {"ref": "billqhdp/full-preprocessing-tutorial-536fc3", "kernel_id": "185150"}, {"ref": "jzkintaku/notebook1595810bee", "kernel_id": "165260"}, {"ref": "zstarosolski/improved-lung-segmentation-using-watershed", "kernel_id": "173757"}, {"ref": "zstarosolski/lung-segmentation-and-candidate-points-generation", "kernel_id": "169067"}, {"ref": "zstarosolski/lung-segmentation", "kernel_id": "169070"}, {"ref": "mcorkum/the-perfect-score-script", "kernel_id": "175040"}, {"ref": "aivision2020/full-preprocessing-tutorial", "kernel_id": "165756"}, {"ref": "aivision2020/full-preprocessing-tutorial-ac6fba60", "kernel_id": "166495"}, {"ref": "seanlinteam/notebook47c6239d69", "kernel_id": "177617"}, {"ref": "tradingwithmatlab/full-preprocessing-tutorial-c841d5", "kernel_id": "215847"}, {"ref": "dustinboswell/full-preprocessing-tutorial", "kernel_id": "165953"}, {"ref": "nudtyangke/full-preprocessing-tutorial", "kernel_id": "170330"}, {"ref": "nvpiao/lang-stage1", "kernel_id": "167477"}, {"ref": "nvpiao/lung-segmentation", "kernel_id": "167478"}, {"ref": "nvpiao/candidate-generation-and-luna16-preprocessing", "kernel_id": "177927"}, {"ref": "nvpiao/fork-of-loading-and-processing-the-sample-images", "kernel_id": "196671"}, {"ref": "nvpiao/fork-of-loading-and-processing-the-sample-i-82b507", "kernel_id": "196672"}, {"ref": "nvpiao/loading-and-processing-the-sample-images", "kernel_id": "196501"}, {"ref": "ttoddfox/blank11", "kernel_id": "202682"}, {"ref": "akuman/full-preprocessing-tutorial-f3cd684d", "kernel_id": "177613"}, {"ref": "akuman/full-preprocessing-tutorial", "kernel_id": "177604"}, {"ref": "akuman/full-preprocessing-tutorial-akash", "kernel_id": "177605"}, {"ref": "akuman/full-preprocessing-tutorial-3a036c", "kernel_id": "184922"}, {"ref": "shuanholmes/dicom-to-jpg", "kernel_id": "194845"}, {"ref": "shuanholmes/hu-based-preprocessing", "kernel_id": "221831"}, {"ref": "ozzzzzp/add-for-init", "kernel_id": "223487"}, {"ref": "mohofar/first-pass-through-data-w-3d-convnet", "kernel_id": "188673"}, {"ref": "chercheur/notebookd68e9f5488", "kernel_id": "172113"}, {"ref": "astaria/full-preprocessing-tutorial", "kernel_id": "183298"}, {"ref": "sigma0503/full-preprocessing-tutorial", "kernel_id": "168676"}, {"ref": "sigma0503/full-preprocessing-tutorial-1f15787e", "kernel_id": "168678"}, {"ref": "sigma0503/full-preprocessing-tutorial-6d453d72", "kernel_id": "168681"}, {"ref": "chddychn/full-preprocessing-tutorial", "kernel_id": "177078"}, {"ref": "kotaroo/notebook57bdf15375", "kernel_id": "193868"}, {"ref": "watyli/full-preprocessing-tutorial", "kernel_id": "183860"}, {"ref": "pkaller/notebookfb86355635", "kernel_id": "167185"}, {"ref": "utkarshcheme/full-preprocessing-tutorial", "kernel_id": "194495"}, {"ref": "earroyo/full-preprocessing-tutorial-4d6d877c", "kernel_id": "175366"}, {"ref": "earroyo/full-preprocessing-tutorial", "kernel_id": "171445"}, {"ref": "snezhko/notebook8541a345bb", "kernel_id": "229803"}, {"ref": "siming/notebook1b59eba759", "kernel_id": "169392"}, {"ref": "mojimaddi/notebookd6699f7fb8", "kernel_id": "225500"}, {"ref": "mojimaddi/my-first", "kernel_id": "225501"}, {"ref": "tracking/notebook65b295038c", "kernel_id": "167975"}, {"ref": "qiweili/firsttry", "kernel_id": "168140"}, {"ref": "kaiyifan/loading-and-processing-the-sample-images", "kernel_id": "172889"}, {"ref": "kaiyifan/loading-and-processing-the-sample-images-3c777f7a", "kernel_id": "177637"}, {"ref": "kaiyifan/notebookf02559068e", "kernel_id": "216134"}, {"ref": "kaiyifan/notebook207ca58258", "kernel_id": "202433"}, {"ref": "kaiyifan/notebook3391d47503", "kernel_id": "202428"}, {"ref": "kaiyifan/notebook054883cc66", "kernel_id": "202414"}, {"ref": "kaiyifan/lable", "kernel_id": "203795"}, {"ref": "kaiyifan/notebook34c9cef8a0", "kernel_id": "203306"}, {"ref": "ryukun/full-preprocessing-tutorial", "kernel_id": "168194"}, {"ref": "ishida66/notebookd2bc00841a", "kernel_id": "178047"}, {"ref": "lijingya/lung-cancer-detection", "kernel_id": "181854"}, {"ref": "everlytics/notebooka047ac53e2", "kernel_id": "203587"}, {"ref": "everlytics/notebook95bd22013b", "kernel_id": "202893"}, {"ref": "everlytics/notebook918bce60d8", "kernel_id": "202776"}, {"ref": "everlytics/notebook7a9dbe4c41", "kernel_id": "206188"}, {"ref": "everlytics/notebooka661dcd53f", "kernel_id": "206153"}, {"ref": "everlytics/notebook727016cbce", "kernel_id": "206104"}, {"ref": "everlytics/notebookdfd89ea511", "kernel_id": "205150"}, {"ref": "everlytics/notebook8c89ab56c0", "kernel_id": "205306"}, {"ref": "niking314/notebooka4a228f25f", "kernel_id": "168618"}, {"ref": "sinankalkan/notebookec4d77e0e1", "kernel_id": "168614"}, {"ref": "hzhang14/full-preprocessing-tutorial", "kernel_id": "168849"}, {"ref": "gunnyliu/cv-ez-indestructible-iron-lungs", "kernel_id": "198860"}, {"ref": "carlosbpf/notebook7526919206", "kernel_id": "169048"}, {"ref": "hushpuppygo/the-perfect-score-script", "kernel_id": "170912"}, {"ref": "rahulravi26/explore-digital-imaging-and-communications-in-med", "kernel_id": "171220"}, {"ref": "patelkevin/first-pass-through-data-w-3d-convnet-fork", "kernel_id": "183539"}, {"ref": "patelkevin/full-preprocessing-tutorial", "kernel_id": "183544"}, {"ref": "patelkevin/notebook52a71240ee", "kernel_id": "184333"}, {"ref": "patelkevin/3d-convnet-keras-vs-cancer", "kernel_id": "184347"}, {"ref": "patelkevin/notebook5b796c0203", "kernel_id": "184322"}, {"ref": "patelkevin/3d-convnet-w-keras-lung-cancer", "kernel_id": "184326"}, {"ref": "aliosha/full-preprocessing-tutorial", "kernel_id": "169472"}, {"ref": "aliosha/exploratory-data-analysis", "kernel_id": "169475"}, {"ref": "ritijain/notebook5ec96eb4d8", "kernel_id": "191826"}, {"ref": "naranja/full-preprocessing-tutorial", "kernel_id": "251443"}, {"ref": "patguy/full-preprocessing-tutorial", "kernel_id": "173785"}, {"ref": "dariovalentin/notebook604c8900ad", "kernel_id": "172760"}, {"ref": "heryson/full-preprocessing-tutorial", "kernel_id": "228939"}, {"ref": "nirkarpati/first-pass-through-data-w-3d-convnet", "kernel_id": "182709"}, {"ref": "xrafael/notebook7f4942a49e", "kernel_id": "169960"}, {"ref": "hunble/notebooke19d920014", "kernel_id": "172360"}, {"ref": "hunble/gddgd", "kernel_id": "172363"}, {"ref": "hunble/notebookd7a2dc16ea", "kernel_id": "172364"}, {"ref": "hunble/kmfdskgmkd", "kernel_id": "171040"}, {"ref": "scottfrod/notebookeacd78161f", "kernel_id": "181399"}, {"ref": "gabriellelarosa/notebook719222812f", "kernel_id": "188236"}, {"ref": "gabriellelarosa/notebook934bcd0b68", "kernel_id": "188481"}, {"ref": "ashwanthr/lung-cancer-detection-and-prediction-using-3d-cnn", "kernel_id": "229782"}, {"ref": "ronpatrick/notebook65d0daeb48", "kernel_id": "224969"}, {"ref": "morning1319/full-preprocessing-tutorial", "kernel_id": "170350"}, {"ref": "bananaboy99/notebooka9ec98d75c", "kernel_id": "216559"}, {"ref": "vrodigues/notebooka241a73a22", "kernel_id": "170625"}, {"ref": "saroj4kaggle/full-preprocessing-tutorial", "kernel_id": "188911"}, {"ref": "fuchenliu/full-preprocessing-tutorial", "kernel_id": "170824"}, {"ref": "fuchenliu/ds-bowl-review-u-net-segmentation-tutorial", "kernel_id": "172190"}, {"ref": "fuchenliu/full-preprocessing-tutorial-cea17fe6", "kernel_id": "172172"}, {"ref": "amandalins/notebookcf80504324", "kernel_id": "171044"}, {"ref": "zihanchen92/notebook7d81b72e00", "kernel_id": "171447"}, {"ref": "mohanz/exploratory-data-analysis", "kernel_id": "182115"}, {"ref": "rere613/candidate-generation-and-luna16-preprocessi-658309", "kernel_id": "256490"}, {"ref": "washimahmed/lung-cancer-detection", "kernel_id": "175584"}, {"ref": "rootinginway/notebook48ed0c2633", "kernel_id": "216540"}, {"ref": "rootinginway/notebookb70d19ed3f", "kernel_id": "216543"}, {"ref": "rootinginway/notebook08d4053b0f", "kernel_id": "216538"}, {"ref": "jorditura/full-preprocessing-tutorial-6cf63928", "kernel_id": "176536"}, {"ref": "jorditura/full-preprocessing-tutorial", "kernel_id": "175708"}, {"ref": "jdduryea/notebook069908b73d", "kernel_id": "185895"}, {"ref": "jdduryea/full-preprocessing-tutorial", "kernel_id": "185952"}, {"ref": "yingying1024/notebook489437c19d", "kernel_id": "185021"}, {"ref": "yingying1024/dsb2017", "kernel_id": "188284"}, {"ref": "lhy1989/full-preprocessing-tutorial-learning", "kernel_id": "177772"}, {"ref": "pm2017/notebook616b0fc480", "kernel_id": "172643"}, {"ref": "kalekist/candidate-generation-and-luna16-preprocessing", "kernel_id": "189991"}, {"ref": "kalekist/the-perfect-score-script-185395", "kernel_id": "189998"}, {"ref": "kalekist/full-preprocessing-tutorial-7fe4e1", "kernel_id": "189068"}, {"ref": "kalekist/full-preprocessing-tutorial-2300d1", "kernel_id": "189072"}, {"ref": "kalekist/full-preprocessing-tutorial-58dd29", "kernel_id": "189073"}, {"ref": "kalekist/full-preprocessing-tutorial-6f8b43", "kernel_id": "185756"}, {"ref": "kalekist/full-preprocessing-tutorial-3db7a2", "kernel_id": "185705"}, {"ref": "kalekist/notebookf01162ca49", "kernel_id": "173017"}, {"ref": "kalekist/the-perfect-score-script", "kernel_id": "172999"}, {"ref": "kalekist/full-preprocessing-tutorial", "kernel_id": "178435"}, {"ref": "kalekist/full-preprocessing-tutorial-ba08e2c1", "kernel_id": "178439"}, {"ref": "qbzenker/full-preprocessing-tutorial", "kernel_id": "183197"}, {"ref": "jenny2116889/notebookfbfce6e795", "kernel_id": "234126"}, {"ref": "barrettxav/full-preprocessing-tutorial", "kernel_id": "173188"}, {"ref": "barrettxav/video-with-lungs-in-3-axes-notebook", "kernel_id": "173623"}, {"ref": "barrettxav/full-preprocessing-tutorial-e3b6da0b", "kernel_id": "173518"}, {"ref": "adeelmufti/candidate-generation-and-luna16-preprocessing", "kernel_id": "190011"}, {"ref": "paweljasiurkowski/full-preprocessing-tutorial", "kernel_id": "173739"}, {"ref": "paweljasiurkowski/full-preprocessing-tutorial-3338b906", "kernel_id": "174083"}, {"ref": "timobaier/notebookc2216e598e", "kernel_id": "173440"}, {"ref": "agarwalshivam/notebook2cf7a1add4", "kernel_id": "189960"}, {"ref": "yoshcakes/full-preprocessing-in-r-with-3d-visualizations", "kernel_id": "183134"}, {"ref": "fenbukaide/explorating-data", "kernel_id": "173663"}, {"ref": "prajwaljpj/first-pass-through-data-w-3d-convnet", "kernel_id": "188635"}, {"ref": "kuppus/notebookfe0aa7f010", "kernel_id": "182061"}, {"ref": "kuppus/notebook74d1402f39", "kernel_id": "182062"}, {"ref": "seungwoolee12/notebook1bdecf42f7", "kernel_id": "173783"}, {"ref": "clbaechtold/full-preprocessing-tutorial", "kernel_id": "174498"}, {"ref": "clbaechtold/full-preprocessing-tutorial-1dd42689", "kernel_id": "174518"}, {"ref": "anantpat/first-pass-through-data-w-3d-convnet", "kernel_id": "184817"}, {"ref": "armfrank/first-pass-through-data-w-3d-convnet", "kernel_id": "183911"}, {"ref": "rajeshpoojary/testing4", "kernel_id": "185243"}, {"ref": "rajeshpoojary/testing3", "kernel_id": "182421"}, {"ref": "rajeshpoojary/full-preprocessing-tutorial", "kernel_id": "181852"}, {"ref": "rajeshpoojary/testing", "kernel_id": "181853"}, {"ref": "rajeshpoojary/full-preprocessing-tutorial-fd88fbca", "kernel_id": "181864"}, {"ref": "ericschmidt/full-preprocessing-tutorial", "kernel_id": "183343"}, {"ref": "manishjangid/full-preprocessing-tutorial", "kernel_id": "181906"}, {"ref": "manishjangid/full-preprocessing-tutorial-7f64cc", "kernel_id": "185727"}, {"ref": "manishjangid/candidate-generation-and-luna16-preprocessing", "kernel_id": "184738"}, {"ref": "manishjangid/candidate-generation-and-luna16-preprocessi-8d398e", "kernel_id": "186780"}, {"ref": "manishjangid/candidate-generation-and-luna16-preprocessi-3e81fb", "kernel_id": "186451"}, {"ref": "max555beyond/test-analysis", "kernel_id": "174418"}, {"ref": "maniarpa/full-preprocessing-tutorial", "kernel_id": "181165"}, {"ref": "gabriel79/first-pass-through-data-w-3d-convnet", "kernel_id": "190280"}, {"ref": "gabriel79/loading-and-processing-the-sample-images", "kernel_id": "181485"}, {"ref": "gabriel79/exploratory-data-analysis", "kernel_id": "179235"}, {"ref": "syamuneko327/full-preprocessing-tutorial", "kernel_id": "174718"}, {"ref": "hachangho/hachangho", "kernel_id": "189841"}, {"ref": "reallee/notebookae5c068643", "kernel_id": "220716"}, {"ref": "liuxinyang/first-pass-through-data-w-3d-convnet", "kernel_id": "184453"}, {"ref": "zamurano/first-pass-through-data-w-3d-convnet-a1ac80", "kernel_id": "184464"}, {"ref": "zamurano/first-pass-through-data-w-3d-convnet", "kernel_id": "184311"}, {"ref": "agrawwalprateeksha/notebook2d77cc20bb", "kernel_id": "207817"}, {"ref": "stefanovt/notebook23ab7f2569", "kernel_id": "175173"}, {"ref": "johnyyan/full-preprocessing-tutorial", "kernel_id": "177472"}, {"ref": "philipk/notebookefde1fad45", "kernel_id": "175421"}, {"ref": "salkkag/3d-convolutional-neural-network-w-o-programming", "kernel_id": "191984"}, {"ref": "salkkag/the-perfect-score-script", "kernel_id": "191980"}, {"ref": "salkkag/full-preprocessing-tutorial", "kernel_id": "191970"}, {"ref": "salkkag/first-pass-through-data-w-3d-convnet", "kernel_id": "191825"}, {"ref": "whitef0x0/candidate-generation-and-luna16-preprocessing", "kernel_id": "182119"}, {"ref": "rdchambers/full-preprocessing-tutorial", "kernel_id": "176220"}, {"ref": "julyan123/notebookaf74924ce3", "kernel_id": "238607"}, {"ref": "shanncc/candidate-generation-and-luna16-preprocessing", "kernel_id": "190500"}, {"ref": "shanncc/full-preprocessing-tutorial", "kernel_id": "181505"}, {"ref": "yuanzuo/first-pass-through-data-w-3d-convnet", "kernel_id": "190002"}, {"ref": "yxrb2017/notebooka8fcaf8932", "kernel_id": "177254"}, {"ref": "thtung/full-preprocessing-tutorial", "kernel_id": "178692"}, {"ref": "foxkiller/full-preprocessing-tutorial", "kernel_id": "178131"}, {"ref": "chmjackychm/notebookd54affaf75", "kernel_id": "218028"}, {"ref": "vinurai/notebook562b51ebbe", "kernel_id": "223067"}, {"ref": "vinurai/notebookb3c5b30573", "kernel_id": "223368"}, {"ref": "vinurai/first-pass", "kernel_id": "218145"}, {"ref": "lunarqq/full-preprocessing-tutorial", "kernel_id": "178376"}, {"ref": "heyrexjohn/notebook67cd155d1f", "kernel_id": "227337"}, {"ref": "heyrexjohn/notebook448b092e5b", "kernel_id": "227354"}, {"ref": "heyrexjohn/notebook0e5eeecae0", "kernel_id": "237861"}, {"ref": "aurorayd/notebook9cca6ec077", "kernel_id": "178846"}, {"ref": "vsevastyanov/title1", "kernel_id": "181955"}, {"ref": "vsevastyanov/title", "kernel_id": "181948"}, {"ref": "vsevastyanov/notebooke86459e1d2", "kernel_id": "181963"}, {"ref": "vsevastyanov/notebook886e8edf28", "kernel_id": "181950"}, {"ref": "shaziatoronto/full-preprocessing-tutorial", "kernel_id": "181244"}, {"ref": "shaziatoronto/full-preprocessing-tutorial-fb7990f8", "kernel_id": "181245"}, {"ref": "shaziatoronto/full-preprocessing-tutorial-cb4471bf", "kernel_id": "183566"}, {"ref": "heilbronf/full-preprocessing-tutorial", "kernel_id": "185383"}, {"ref": "pouya112/full-preprocessing-tutorial", "kernel_id": "182397"}, {"ref": "jenssjolund/candidate-generation-and-luna16-preprocessing", "kernel_id": "179159"}, {"ref": "showly/candidate-generation-and-luna16-preprocessing", "kernel_id": "179874"}, {"ref": "showly/loading-and-processing-the-sample-images", "kernel_id": "179946"}, {"ref": "showly/improved-lung-segmentation-using-watershed", "kernel_id": "179898"}, {"ref": "showly/first-pass-through-data-w-3d-convnet", "kernel_id": "179931"}, {"ref": "ictwangbin/full-preprocessing-tutorial", "kernel_id": "184071"}, {"ref": "vatsalsodha/notebook7da55e7aa3", "kernel_id": "236447"}, {"ref": "farrar/first-pass-through-data-w-3d-convnet", "kernel_id": "182274"}, {"ref": "farrar/notebook50df91e60a", "kernel_id": "181333"}, {"ref": "farrar/fork-of-full-preprocessing-tutorial", "kernel_id": "190407"}, {"ref": "farrar/full-preprocessing-tutorial", "kernel_id": "184986"}, {"ref": "antunes/full-preprocessing-tutorial", "kernel_id": "184024"}, {"ref": "antunes/first-pass-through-data-w-3d-convnet", "kernel_id": "184025"}, {"ref": "justinfl26/full-preprocessing-tutorial", "kernel_id": "186518"}, {"ref": "justinfl26/notebook466defd55d", "kernel_id": "205723"}, {"ref": "dorade/lung-cancer-full-preprocessing-tutorial", "kernel_id": "193217"}, {"ref": "josgilby/notebook06aacf812c", "kernel_id": "192025"}, {"ref": "josgilby/first-pass-through-data-w-3d-convnet", "kernel_id": "191741"}, {"ref": "josgilby/notebook50b10cca35", "kernel_id": "210252"}, {"ref": "colin25346/data-science-bowl-first-pass-video-tutorial", "kernel_id": "181193"}, {"ref": "colin25346/kaggle-data-science-bowl-first-pass-video-tutorial", "kernel_id": "181187"}, {"ref": "raramana/full-preprocessing-tutorial", "kernel_id": "185062"}, {"ref": "wheeler8/notebook886d312ed8", "kernel_id": "181262"}, {"ref": "wheeler8/notebooke155cfdb17", "kernel_id": "181351"}, {"ref": "wheeler8/notebook986e635804", "kernel_id": "181726"}, {"ref": "wheeler8/full-preprocessing-tutorial", "kernel_id": "181824"}, {"ref": "wheeler8/full-preprocessing-tutorial-facef6fe", "kernel_id": "182752"}, {"ref": "wheeler8/first-pass-through-data-w-3d-convnet", "kernel_id": "182733"}, {"ref": "gefrix/full-preprocessing-tutorial", "kernel_id": "181254"}, {"ref": "colelyman/notebook603045846d", "kernel_id": "181397"}, {"ref": "kariim/notebook8fa9d37278", "kernel_id": "181438"}, {"ref": "kariim/notebook3156269328", "kernel_id": "182141"}, {"ref": "yangymao/full-preprocessing-tutorial", "kernel_id": "183853"}, {"ref": "louisjier/full-preprocessing-tutorial", "kernel_id": "184567"}, {"ref": "jykang/the-perfect-score-script", "kernel_id": "182137"}, {"ref": "jykang/notebookcd85416987", "kernel_id": "182163"}, {"ref": "sakkata/notebook959ff220b4", "kernel_id": "182859"}, {"ref": "sakkata/notebook2103ae4d39", "kernel_id": "185093"}, {"ref": "pranaymnch/first-pass-through-data-w-3d-convnet", "kernel_id": "188719"}, {"ref": "tomas52/notebook6df6a7d012", "kernel_id": "182368"}, {"ref": "zhaominda/notebookdcbc860f74", "kernel_id": "183140"}, {"ref": "jianghuiying/notebookfb854a502b", "kernel_id": "192888"}, {"ref": "jianghuiying/notebook4e274c47ae", "kernel_id": "192889"}, {"ref": "jianghuiying/notebook19b1977c8a", "kernel_id": "192906"}, {"ref": "jianghuiying/data-science-bowl-second", "kernel_id": "244759"}, {"ref": "jianghuiying/notebook23191cd154", "kernel_id": "256494"}, {"ref": "jianghuiying/notebook3a722705c7", "kernel_id": "254895"}, {"ref": "emilfrisk/testing", "kernel_id": "248295"}, {"ref": "ronoliverocs/first-pass-through-data-w-3d-convnet-8c7343", "kernel_id": "184395"}, {"ref": "ronoliverocs/initial-preprocessing-approach", "kernel_id": "183483"}, {"ref": "ronoliverocs/some-data-analysis", "kernel_id": "183530"}, {"ref": "awilmsmeier/pca-analysis-of-pixels", "kernel_id": "183484"}, {"ref": "has0000w/notebook7d583bb721", "kernel_id": "187371"}, {"ref": "rejinjoy227/notebook375563d68c", "kernel_id": "185634"}, {"ref": "quantz/notebooke7b96ee11d", "kernel_id": "201096"}, {"ref": "manmohanananda/notebooke08c5017cb", "kernel_id": "223758"}, {"ref": "manmohanananda/notebookdfbb87ad0b", "kernel_id": "223754"}, {"ref": "manmohanananda/notebook457edeca48", "kernel_id": "223105"}, {"ref": "jhwjhw0123/resnet50-features-xgboost-v7", "kernel_id": "224456"}, {"ref": "jhwjhw0123/resnet50-features-xgboost-v9", "kernel_id": "224470"}, {"ref": "jhwjhw0123/resnet50-features-xgboost", "kernel_id": "224424"}, {"ref": "anamikatyagi/notebook0a6c38994e", "kernel_id": "201604"}, {"ref": "amol1729/notebook538c803ddf", "kernel_id": "222575"}, {"ref": "amol1729/notebookc78c1ea2e8", "kernel_id": "222549"}, {"ref": "smartlp/notebookaf1a2bd35a", "kernel_id": "254487"}, {"ref": "dhanachandra/keras-vs-cancer", "kernel_id": "216682"}, {"ref": "xashru/notebookd6fbddc977", "kernel_id": "196646"}, {"ref": "wwliang/notebookcb80e3a353", "kernel_id": "184317"}, {"ref": "ryanphd2017/notebook16a7057615", "kernel_id": "184573"}, {"ref": "oliverv/first-pass-through-data-w-3d-convnet", "kernel_id": "185675"}, {"ref": "oliverv/first-pass-through-data-w-3d-convnet-ae588f", "kernel_id": "192655"}, {"ref": "tramac/candidate-generation-luna16-preprocessing", "kernel_id": "232646"}, {"ref": "tramac/my-idea-for-lung-segmentation-tramac", "kernel_id": "232727"}, {"ref": "tramac/first-pass-through-data-w-3d-convnet-0a2a25", "kernel_id": "261849"}, {"ref": "tramac/full-preprocessing-tutorial", "kernel_id": "200427"}, {"ref": "lchena/notebook0c71e23d06", "kernel_id": "184937"}, {"ref": "lchena/test-py", "kernel_id": "184939"}, {"ref": "daobinhuang/loading-and-processing-the-sample-images", "kernel_id": "189560"}, {"ref": "daobinhuang/the-perfect-score-script", "kernel_id": "189561"}, {"ref": "daobinhuang/exploratory-data-analysis", "kernel_id": "189562"}, {"ref": "daobinhuang/full-preprocessing-tutorial", "kernel_id": "189578"}, {"ref": "daobinhuang/first-pass-through-data-w-3d-convnet-b8ab50", "kernel_id": "189579"}, {"ref": "daobinhuang/first-pass-through-data-w-3d-convnet", "kernel_id": "189573"}, {"ref": "daobinhuang/candidate-generation-and-luna16-preprocessing", "kernel_id": "189564"}, {"ref": "gouxiong005/full-preprocessing-tutorial", "kernel_id": "189436"}, {"ref": "zzziheng/full-preprocessing-tutorial", "kernel_id": "185459"}, {"ref": "xinye1115/prepoessing", "kernel_id": "192101"}, {"ref": "xinye1115/full-preprocessing-tutorial", "kernel_id": "192111"}, {"ref": "xinye1115/full-preprocessing-tutorial-84538f", "kernel_id": "192125"}, {"ref": "xidexia/full-preprocessing-tutorial", "kernel_id": "185711"}, {"ref": "sleepywyn/notebook024b9fe168", "kernel_id": "200207"}, {"ref": "sleepywyn/notebook136b54b081", "kernel_id": "186719"}, {"ref": "sleepywyn/testconv", "kernel_id": "187093"}, {"ref": "sleepywyn/notebookbef16505ee", "kernel_id": "187110"}, {"ref": "chris32he/exploratory-data-analysis", "kernel_id": "190155"}, {"ref": "bastiankayser/sentdex-kaggle-tutorial", "kernel_id": "198567"}, {"ref": "ylmao0916/full-preprocessing-tutorial", "kernel_id": "187248"}, {"ref": "ylmao0916/the-perfect-score-script", "kernel_id": "187241"}, {"ref": "chanmul/notebook81a929557e", "kernel_id": "187118"}, {"ref": "chanmul/the-perfect-score-script", "kernel_id": "189448"}, {"ref": "chanmul/3d-convolutional-neural-network-w-o-programming", "kernel_id": "196802"}, {"ref": "czl1208/notebook07d7906c9e", "kernel_id": "224182"}, {"ref": "czl1208/notebookc72df82d3d", "kernel_id": "224098"}, {"ref": "czl1208/notebook4f501f52a5", "kernel_id": "224886"}, {"ref": "czl1208/notebookc2e042541c", "kernel_id": "224979"}, {"ref": "czl1208/notebooka5921ba9d7", "kernel_id": "225516"}, {"ref": "tanghaotommy/notebookc8e77dc5d1", "kernel_id": "245127"}, {"ref": "bingqingzhang/candidate-generation-and-luna16-preprocessi-9262cd", "kernel_id": "228124"}, {"ref": "harold0217/first-pass-through-data-w-3d-convnet-beba1b", "kernel_id": "191786"}, {"ref": "harold0217/first-pass-through-data-w-3d-convnet-4a503e", "kernel_id": "191769"}, {"ref": "harold0217/cnn4lungcancer", "kernel_id": "191759"}, {"ref": "harold0217/first-pass-through-data-w-3d-convnet", "kernel_id": "191763"}, {"ref": "harold0217/first-pass-through-data-w-3d-convnet-a4ddb7", "kernel_id": "194780"}, {"ref": "harold0217/full-preprocessing-tutorial", "kernel_id": "194709"}, {"ref": "richarldu/notebook02c2bc140b", "kernel_id": "222375"}, {"ref": "hwangjunghwan/notebook55579a6873", "kernel_id": "188045"}, {"ref": "aiswaryas/notebook6ef5b016ae", "kernel_id": "188379"}, {"ref": "aiswaryas/notebook980d1a3c15", "kernel_id": "200558"}, {"ref": "aiswaryas/naive-test", "kernel_id": "200559"}, {"ref": "aiswaryas/notebook34f7c599b5", "kernel_id": "200540"}, {"ref": "coreysnyder/full-preprocessing-tutorial", "kernel_id": "193200"}, {"ref": "lwang2017/my-first-try", "kernel_id": "217269"}, {"ref": "lwang2017/notebook220517cd1e", "kernel_id": "217253"}, {"ref": "xtravenx/full-preprocessing-tutorial", "kernel_id": "188733"}, {"ref": "mikeacuna/the-perfect-score-script", "kernel_id": "191021"}, {"ref": "hiranava/full-preprocessing-tutorial", "kernel_id": "191431"}, {"ref": "rahul97/notebookf4677b67a6", "kernel_id": "249184"}, {"ref": "pootietang69/first-pass-through-data-w-3d-convnet", "kernel_id": "196478"}, {"ref": "pootietang69/notebookd256083f61", "kernel_id": "196165"}, {"ref": "vivianloc/full-preprocessing-tutorial", "kernel_id": "190264"}, {"ref": "vivianloc/notebook94bcadead6", "kernel_id": "192175"}, {"ref": "yannanbai/full-preprocessing-tutorial", "kernel_id": "190265"}, {"ref": "yannanbai/notebooka433b28f55", "kernel_id": "190261"}, {"ref": "bertzheng/full-preprocessing-tutorial", "kernel_id": "192588"}, {"ref": "charbarwinston/notebookb4a10bdd8f", "kernel_id": "190434"}, {"ref": "charbarwinston/broken-test", "kernel_id": "190550"}, {"ref": "charbarwinston/notebookede297ca2f", "kernel_id": "194365"}, {"ref": "xiaoqianjiang1987/notebook595eba72dd", "kernel_id": "194632"}, {"ref": "xiaoqianjiang1987/notebook68514d9c4a", "kernel_id": "212147"}, {"ref": "amirhosein/notebookca5aba0817", "kernel_id": "191260"}, {"ref": "amirhosein/notebook79c9bc5d67", "kernel_id": "191268"}, {"ref": "wjiahou/notebookdb59dd45e4", "kernel_id": "192693"}, {"ref": "sudhir221292/notebook9b589273ec", "kernel_id": "204096"}, {"ref": "bird0sup/first-pass-through-data-w-3d-convnet", "kernel_id": "194687"}, {"ref": "lukeduke/full-preprocessing-tutorial", "kernel_id": "192652"}, {"ref": "liuxunue/notebook29c15e8c07", "kernel_id": "192631"}, {"ref": "dlgoldman/notebookf028a70784", "kernel_id": "222330"}, {"ref": "wrighzaa/notebooka2f7c54840", "kernel_id": "192198"}, {"ref": "caixin89/full-preprocessing-tutorial", "kernel_id": "199130"}, {"ref": "caixin89/data-bowl-2017-notebook", "kernel_id": "198985"}, {"ref": "nzapater/notebook6b1f30a3fd", "kernel_id": "192455"}, {"ref": "rickdom/notebook8961b53b27", "kernel_id": "199139"}, {"ref": "rickdom/notebookbbc693f728", "kernel_id": "199140"}, {"ref": "briantmali/full-preprocessing-tutorial-25f4e1", "kernel_id": "213633"}, {"ref": "jimmytran/notebook4a763208a2", "kernel_id": "195729"}, {"ref": "purushothamanayak/notebook52843d821e", "kernel_id": "192905"}, {"ref": "yikoudreams/my-first-try-kernels", "kernel_id": "194088"}, {"ref": "supersummer/first-pass-through-data-w-3d-convnet", "kernel_id": "194779"}, {"ref": "nprabhu1995/full-preprocessing-tutorial", "kernel_id": "194003"}, {"ref": "nprabhu1995/first-pass-through-data-w-3d-convnet", "kernel_id": "194151"}, {"ref": "nprabhu1995/first-pass-through-data-w-3d-convnet-d50a78", "kernel_id": "194382"}, {"ref": "sbhart/full-preprocessing-tutorial", "kernel_id": "195086"}, {"ref": "sbhart/sentex-tutorial", "kernel_id": "196148"}, {"ref": "giridharn/notebooke5c05a745a", "kernel_id": "194788"}, {"ref": "nadermhd/notebook3fec827a6c", "kernel_id": "195893"}, {"ref": "amm1990/notebooke8d58e50b1", "kernel_id": "196447"}, {"ref": "stahmoresi/notebookefbe15ed47", "kernel_id": "197690"}, {"ref": "stahmoresi/notebook95dcf094d4", "kernel_id": "197691"}, {"ref": "karthikwasp/full-preprocessing-tutorial", "kernel_id": "195738"}, {"ref": "yunpingwang13/first-pass-through-data-w-3d-convnet-0f2827", "kernel_id": "198878"}, {"ref": "yunpingwang13/notebook82ea08b367", "kernel_id": "196259"}, {"ref": "yunpingwang13/notebook8bbba0aae4", "kernel_id": "196260"}, {"ref": "yunpingwang13/first-pass-through-data-w-3d-convnet", "kernel_id": "196377"}, {"ref": "yunpingwang13/notebooka20abb8442", "kernel_id": "196232"}, {"ref": "yunpingwang13/notebookcc28f12457", "kernel_id": "196235"}, {"ref": "rajat404/test-notebook", "kernel_id": "196815"}, {"ref": "rajat404/notebooka439b06644", "kernel_id": "196885"}, {"ref": "swufefiim/qintianzhu1-0", "kernel_id": "204320"}, {"ref": "swufefiim/hhhhhhh", "kernel_id": "204321"}, {"ref": "gaoxiangak47/notebook45aab05973", "kernel_id": "216971"}, {"ref": "ljmachado/testkernel", "kernel_id": "210216"}, {"ref": "authman/3d-region-growing-flood-fill", "kernel_id": "219579"}, {"ref": "jimmyzou/first-pass-through-data-w-3d-convnet", "kernel_id": "212987"}, {"ref": "hexingyi/listfileinfo", "kernel_id": "198858"}, {"ref": "mjiansun/getting-the-lungs-right", "kernel_id": "266282"}, {"ref": "mjiansun/candidate-generation-and-luna16-preprocessi-94e75d", "kernel_id": "236107"}, {"ref": "hagarlg/notebook74f7b92465", "kernel_id": "198206"}, {"ref": "sunwei317/notebook7ca4f9521d", "kernel_id": "200654"}, {"ref": "sunwei317/full-preprocessing-tutorial", "kernel_id": "200656"}, {"ref": "farshidsepehrband/notebooka6e08c5285", "kernel_id": "216244"}, {"ref": "farshidsepehrband/notebook22466964f7", "kernel_id": "216246"}, {"ref": "inkfly/notebook76a2e3e130", "kernel_id": "200672"}, {"ref": "tomohisa0619/notebook9d355f20ca", "kernel_id": "200928"}, {"ref": "zhang1996/notebook64dc699be6", "kernel_id": "213834"}, {"ref": "zhang1996/lung-cancer-demo", "kernel_id": "213835"}, {"ref": "fenyingzang/jinjinm", "kernel_id": "204337"}, {"ref": "kolowitz/full-preprocessing-tutorial", "kernel_id": "210746"}, {"ref": "iamholmes/notebookcd28e9dee3", "kernel_id": "200584"}, {"ref": "maheswarpapa/notebook61b1eff2a7", "kernel_id": "200689"}, {"ref": "wyntoph/notebook99ecb511bb", "kernel_id": "204189"}, {"ref": "wyntoph/notebook2ad3f7b869", "kernel_id": "206257"}, {"ref": "mklim82/notebook8713c56274", "kernel_id": "224471"}, {"ref": "totalbro/notebookc05878ba77", "kernel_id": "207617"}, {"ref": "trenzalore888/titanic-learning", "kernel_id": "213096"}, {"ref": "aizen5/notebooka86841a79d", "kernel_id": "203337"}, {"ref": "sumedhasingla/notebookf6255a54bf", "kernel_id": "203800"}, {"ref": "kruckenb/notebook78fd6b6036", "kernel_id": "204102"}, {"ref": "jesyfax/lung-cancer-detection", "kernel_id": "255616"}, {"ref": "vaishvel/notebook8a4e11ffe5", "kernel_id": "205026"}, {"ref": "vaishvel/notebook43d1f48ce7", "kernel_id": "207710"}, {"ref": "vaishvel/notebooka358138b41", "kernel_id": "207703"}, {"ref": "vamsi278/notebook13635e199c", "kernel_id": "236276"}, {"ref": "aitazhixin/candidate-generation-and-luna16-preprocessing-fork", "kernel_id": "218901"}, {"ref": "czfshine/notebook676422beb2", "kernel_id": "217196"}, {"ref": "kmiegs/notebook075df192fd", "kernel_id": "216033"}, {"ref": "kmiegs/notebook759d116540", "kernel_id": "216035"}, {"ref": "kmiegs/notebook6cf7162561", "kernel_id": "216021"}, {"ref": "kmiegs/notebookd33f29e5f9", "kernel_id": "216009"}, {"ref": "kmiegs/notebookc959b532b5", "kernel_id": "216018"}, {"ref": "kmiegs/notebook413034fcf1", "kernel_id": "215981"}, {"ref": "kmiegs/notebook92afbf73d0", "kernel_id": "213259"}, {"ref": "kmiegs/reply-of-exploratory-data-analysis-by-anokas", "kernel_id": "213250"}, {"ref": "kmiegs/notebook2d0cbbf996", "kernel_id": "213242"}, {"ref": "kmiegs/notebookb649fd0f08", "kernel_id": "213378"}, {"ref": "kmiegs/notebook737b4629bc", "kernel_id": "209287"}, {"ref": "kmiegs/notebook2b72043f18", "kernel_id": "210296"}, {"ref": "slsbigdata/image-pre-processing", "kernel_id": "218684"}, {"ref": "cedrickchee/full-preprocessing-tutorial", "kernel_id": "351783"}, {"ref": "queondagt/notebook6dcc05e135", "kernel_id": "210154"}, {"ref": "queondagt/notebook1079c7ddba", "kernel_id": "212659"}, {"ref": "dhineshraja3491/data-science-bowl-2017", "kernel_id": "208857"}, {"ref": "dhineshraja3491/kaggle-datascience-bowl-2017", "kernel_id": "208843"}, {"ref": "bellis1/bunged-lungs", "kernel_id": "209505"}, {"ref": "bellis1/dicom-learning", "kernel_id": "209490"}, {"ref": "janvirana/full-preprocessing-tutorial", "kernel_id": "328530"}, {"ref": "janvirana/fork-of-full-preprocessing-tutorial", "kernel_id": "328534"}, {"ref": "peteryim/notebook5bacce91cb", "kernel_id": "210032"}, {"ref": "jiandanjinxin/first-pass-through-data-w-3d-convnet", "kernel_id": "313489"}, {"ref": "tharusaikunapareddy/notebookde8bc58154", "kernel_id": "210347"}, {"ref": "idrismunir/notebookf950039590", "kernel_id": "213292"}, {"ref": "naglisr/notebook7a17456962", "kernel_id": "210529"}, {"ref": "phlimy/notebook3e79d3bde5", "kernel_id": "214061"}, {"ref": "wangbyz/notebook372e7e8ce6", "kernel_id": "210731"}, {"ref": "ghodi2bds/notebook8a0dffa00a", "kernel_id": "240797"}, {"ref": "tdoan35/notebook73e576f1f5", "kernel_id": "212935"}, {"ref": "brownlg/test22", "kernel_id": "214187"}, {"ref": "dhinkris/notebook74e8c8e67c", "kernel_id": "214321"}, {"ref": "dhinkris/notebookeec01b8704", "kernel_id": "214333"}, {"ref": "jinuhong/notebook415896c20a", "kernel_id": "215263"}, {"ref": "ryanshrott/notebook0c8d0ec4c7", "kernel_id": "237562"}, {"ref": "mingcong18/notebookcb3eafd520", "kernel_id": "216071"}, {"ref": "liuteng/notebookec5f14304d", "kernel_id": "216792"}, {"ref": "mluckydwyer/notebooke88f137c76", "kernel_id": "216821"}, {"ref": "tianyimiao/notebook216d2ce1a5", "kernel_id": "217803"}, {"ref": "stevorobs3/notebook4698c867d6", "kernel_id": "218506"}, {"ref": "zhouzhiguang/notebook24e3de7fa4", "kernel_id": "223347"}, {"ref": "zhouzhiguang/notebook464d1b4452", "kernel_id": "224371"}, {"ref": "zhouzhiguang/notebook52b1863f8a", "kernel_id": "226946"}, {"ref": "zhouzhiguang/notebookd545309482", "kernel_id": "227893"}, {"ref": "djay100/notebook70dbc22056", "kernel_id": "242952"}, {"ref": "salmanzafar/notebook2eb88d8cff", "kernel_id": "230535"}, {"ref": "salmanzafar/notebooke66c85dfaa", "kernel_id": "230337"}, {"ref": "salmanzafar/notebookdda069ea9a", "kernel_id": "230315"}, {"ref": "saiyedam/lstm1", "kernel_id": "278967"}, {"ref": "ghostshadow/first-pass-through-data-w-3d-convnet-17a279", "kernel_id": "306087"}, {"ref": "timothylee/notebook4014dcd98e", "kernel_id": "224242"}, {"ref": "benniao/test01", "kernel_id": "221528"}, {"ref": "zhanmengxue/notebook0ebdaf8e9e", "kernel_id": "232732"}, {"ref": "w52918/notebook6b57236328", "kernel_id": "222453"}, {"ref": "nilushika/notebook15607c482c", "kernel_id": "222649"}, {"ref": "pubudu07/testrun3", "kernel_id": "223974"}, {"ref": "bookwormengr/notebookc1c96b2a91", "kernel_id": "223659"}, {"ref": "yaxinwu/nihao", "kernel_id": "223439"}, {"ref": "abdulsamadk/notebookb3219847ea", "kernel_id": "227368"}, {"ref": "ucablz2/notebook0f5a6ffc2e", "kernel_id": "223934"}, {"ref": "ucablz2/notebook2849e17301", "kernel_id": "223979"}, {"ref": "ucablz2/notebook58b4d49632", "kernel_id": "223948"}, {"ref": "ucablz2/input", "kernel_id": "223965"}, {"ref": "ucablz2/notebookec23c7d4c1", "kernel_id": "224172"}, {"ref": "samcc0815/notebookbe47f4c738", "kernel_id": "239452"}, {"ref": "fanlxc/first-pass-through-data-w-3d-convnet", "kernel_id": "236620"}, {"ref": "sidra63/fork-of-full-preprocessing-tutorial-ebffe1-079f4e", "kernel_id": "540994"}, {"ref": "sidra63/fork-of-full-preprocessing-tutorial-ebffe1-ee9b4d", "kernel_id": "541084"}, {"ref": "sidra63/fork-of-full-preprocessing-tutorial-ebffe1-727d44", "kernel_id": "547870"}, {"ref": "asakaplan/notebookd9b5ae3dbf", "kernel_id": "237299"}, {"ref": "asakaplan/notebookbd946a5198", "kernel_id": "237296"}, {"ref": "mountainmorning/candidate-generation-and-luna16-preprocessi-c5cc8d", "kernel_id": "243596"}, {"ref": "raphaelespanha/3d-cnn-tutorials", "kernel_id": "243799"}, {"ref": "raphaelespanha/notebook80cff0afb2", "kernel_id": "257633"}, {"ref": "aengustran/full-preprocessing-tutorial", "kernel_id": "239940"}, {"ref": "imaneall/notebook9428b9402d", "kernel_id": "240144"}, {"ref": "imaneall/notebookda2520d26c", "kernel_id": "240743"}, {"ref": "suraj09/notebook3fe873ccd5", "kernel_id": "242559"}, {"ref": "twlivingston/notebook85e0b44368", "kernel_id": "245996"}, {"ref": "twlivingston/sample-code", "kernel_id": "245997"}, {"ref": "twlivingston/title", "kernel_id": "247303"}, {"ref": "twlivingston/image-example", "kernel_id": "247269"}, {"ref": "jrread442/ch4-nt", "kernel_id": "247272"}, {"ref": "lsschanner/dsb-test", "kernel_id": "282491"}, {"ref": "domenicod/notebook021ae06890", "kernel_id": "245637"}, {"ref": "phillipjw/notebook2d33e21aa9", "kernel_id": "246124"}, {"ref": "bk1007/notebookff749a6692", "kernel_id": "247938"}, {"ref": "nelfiky/notebook25e18e0f50", "kernel_id": "251749"}, {"ref": "minhajraheem/notebook0b9d311377", "kernel_id": "264678"}, {"ref": "minhajraheem/notebook80bd860a64", "kernel_id": "266145"}, {"ref": "nunoduarte/first-pass-through-data-w-3d-convnet", "kernel_id": "259454"}, {"ref": "barsanayak123/full-preprocessing-tutorial", "kernel_id": "263251"}, {"ref": "kgl901/notebook0bc6d08f9b", "kernel_id": "262146"}, {"ref": "kgl901/notebook8a9dcace07", "kernel_id": "262148"}, {"ref": "gauravaggarwal01/notebook946d38faa6", "kernel_id": "274925"}, {"ref": "dorinmirel/notebook7e803dfad5", "kernel_id": "265808"}, {"ref": "gaurav39/lung-cancer-full-preprocessing-tutorial", "kernel_id": "268047"}, {"ref": "diomedies/kaggle-data-science-bowl-first-pass", "kernel_id": "270144"}, {"ref": "maxozo/notebooka71f7b77e1", "kernel_id": "270721"}, {"ref": "fanweiwei/notebook089d0cd6e0", "kernel_id": "279895"}, {"ref": "splinter0/notebookc0bea28646", "kernel_id": "279054"}, {"ref": "dankim/notebook9166b098db", "kernel_id": "280935"}, {"ref": "ankitgupta974/kaggle-data-science-bowl-1-ank", "kernel_id": "290121"}, {"ref": "manojjjm/practise", "kernel_id": "754396"}, {"ref": "san7911/full-preprocessing-tutorial", "kernel_id": "844692"}, {"ref": "san7911/first-pass-through-data-w-3d-convnet", "kernel_id": "879917"}, {"ref": "san7911/candidate-generation-and-luna16-preprocessing", "kernel_id": "897937"}, {"ref": "gufranmirza/full-preprocessing-tutorial", "kernel_id": "404155"}, {"ref": "paopao2018/full-preprocessing-tutorial", "kernel_id": "577991"}, {"ref": "sahilsharmagur/full-preprocessing-tutorial", "kernel_id": "1232333"}, {"ref": "vishwas09/lung-cancer-detection", "kernel_id": "2037234"}, {"ref": "tzeny15/full-preprocessing-tutorial", "kernel_id": "2014864"}, {"ref": "akashsh/ai-project", "kernel_id": "3045608"}, {"ref": "dpamgautam/keras-image-classification-models", "kernel_id": "3812478"}, {"ref": "asura93/full-preprocessing-tutorial", "kernel_id": "3399651"}, {"ref": "mamtadhaker/full-preprocessing-tutorial", "kernel_id": "4327526"}, {"ref": "lucryanw/full-preprocessing-tutorial", "kernel_id": "4958829"}, {"ref": "kolawole13303/journal-data1-full-preprocessing-tutorial", "kernel_id": "7655369"}, {"ref": "kolawole13303/candidate-generation-and-3d-luna16-preprocessing", "kernel_id": "7660533"}, {"ref": "allangameranx/lung-cancer-detection", "kernel_id": "16087472"}, {"ref": "nwuhzx/improved-lung-segmentation-using-watershed", "kernel_id": "25940430"}, {"ref": "minjaekang7/full-preprocessing-tutorial", "kernel_id": "27002357"}, {"ref": "dasaris/cyclistic-exploratory-data-analysis-python", "kernel_id": "27810553"}, {"ref": "bbueno5000/notebook1daa86b95f", "kernel_id": "31754539"}, {"ref": "ikbalkrdl/lung-image-segmentation-3d", "kernel_id": "40722371"}, {"ref": "phongvu2182/candidate-generation-and-luna16-preprocessing", "kernel_id": "46958367"}, {"ref": "ymdxei/full-preprocessing-tutorial", "kernel_id": "84847691"}]}
{"competition_id": "6008", "kernels": []}
{"competition_id": "6011", "kernels": []}
{"competition_id": "6013", "kernels": []}
{"competition_id": "6049", "kernels": [{"ref": "benhamner/notebookc14849a80f", "kernel_id": "247852"}, {"ref": "klarke/starter-explore-youtube8m-sample-data-5f14fe", "kernel_id": "193787"}, {"ref": "klarke/starter-explore-youtube8m-sample-data", "kernel_id": "192678"}, {"ref": "wcukierski/notebook4cfea385a2", "kernel_id": "252614"}, {"ref": "aiwagan/starter-explore-youtube8m-sample-data", "kernel_id": "189430"}, {"ref": "subratac/starter-explore-youtube8m-sample-data", "kernel_id": "186399"}, {"ref": "firefiend/sharing-is-caring", "kernel_id": "227410"}, {"ref": "firefiend/fork-of-sharing-is-caring", "kernel_id": "227412"}, {"ref": "firefiend/p2-7-1", "kernel_id": "227416"}, {"ref": "prochi/starter-explore-youtube8m-sample-data", "kernel_id": "193843"}, {"ref": "sureshshanmugam/notebook32b583d782", "kernel_id": "218667"}, {"ref": "cdgore/notebook7b393d8ff1", "kernel_id": "217004"}, {"ref": "spikingneurons/starter-explore-youtube8m-sample-data", "kernel_id": "186678"}, {"ref": "randomforestfanatic/notebook012502dfa8", "kernel_id": "199781"}, {"ref": "wendykan/starter-explore-youtube8m-sample-data", "kernel_id": "178497"}, {"ref": "nataliadiaz/starter-explore-youtube8m-sample-data", "kernel_id": "186409"}, {"ref": "nataliadiaz/starter-explore-youtube8m-sample-data-fc6dde", "kernel_id": "186410"}, {"ref": "robinkraft/notebook199d1ed8d9", "kernel_id": "239160"}, {"ref": "zouzias/starter-explore-youtube8m-sample-data", "kernel_id": "189010"}, {"ref": "gynagy/starter-explore-youtube8m-sample-data", "kernel_id": "187894"}, {"ref": "clustifier/most-popular-labels", "kernel_id": "204706"}, {"ref": "prabhavagrawal/starter-explore-youtube8m-sample-data", "kernel_id": "190568"}, {"ref": "izgordon/exploring-label-names", "kernel_id": "186363"}, {"ref": "dpurbey/starter-explore-youtube8m-sample-data-b50539", "kernel_id": "191053"}, {"ref": "dpurbey/notebook6a21648359", "kernel_id": "190967"}, {"ref": "dpurbey/starter-explore-youtube8m-sample-data", "kernel_id": "190969"}, {"ref": "dpurbey/test1-explore", "kernel_id": "191051"}, {"ref": "mohammadmotiurrahman/notebookb5288cb198", "kernel_id": "235932"}, {"ref": "mohammadmotiurrahman/notebook45260f4cf1", "kernel_id": "244149"}, {"ref": "amunategui/download-tfrecords-for-case-insensitive-systems", "kernel_id": "236665"}, {"ref": "iloveai/notebooka0d4da53e5", "kernel_id": "261872"}, {"ref": "sumitl/starter-explore-youtube8m-sample-data-e153e2", "kernel_id": "188232"}, {"ref": "sumitl/starter-explore-youtube8m-sample-data", "kernel_id": "185588"}, {"ref": "hardikp/notebook492ba913f0", "kernel_id": "202628"}, {"ref": "philschmidt/youtube8m-eda", "kernel_id": "198122"}, {"ref": "nonlogic/starter-explore-youtube8m-sample-data", "kernel_id": "190567"}, {"ref": "usixuz/starter-explore-youtube8m-sample-data", "kernel_id": "191874"}, {"ref": "fdn73ita/starter-explore-youtube8m-sample-data", "kernel_id": "186603"}, {"ref": "ktimothy/notebook05ccf91c35", "kernel_id": "226227"}, {"ref": "hakonh/starter-explore-youtube8m-sample-data", "kernel_id": "185670"}, {"ref": "sulaxd/notebook0bc9c8c16c", "kernel_id": "187119"}, {"ref": "jieqchen/notebook42c488dace", "kernel_id": "234127"}, {"ref": "lantingguo/starter-explore-youtube8m-sample-data", "kernel_id": "186731"}, {"ref": "maggiezhou/youtube8m-test", "kernel_id": "203606"}, {"ref": "nunoedgar/starter-explore-youtube8m-sample-data", "kernel_id": "186407"}, {"ref": "nilotpal/notebooka7ab0ee10c", "kernel_id": "222616"}, {"ref": "jaehui/notebookcc5b29747f", "kernel_id": "226296"}, {"ref": "perfect/starter-explore-youtube8m-sample-data", "kernel_id": "188431"}, {"ref": "perfect/starter-explore-youtube8m-sample-data-a041b1", "kernel_id": "188468"}, {"ref": "chengn/starter-explore-youtube8m-sample-data", "kernel_id": "191348"}, {"ref": "shuiyuan/notebookea0823fc6c", "kernel_id": "194665"}, {"ref": "shuiyuan/starter-explore-youtube8m-sample-data-e70363", "kernel_id": "194666"}, {"ref": "shuiyuan/notebook3848edc9df", "kernel_id": "191944"}, {"ref": "shuiyuan/starter-explore-youtube8m-sample-data", "kernel_id": "191940"}, {"ref": "yuntai/starter-explore-youtube8m-sample-data", "kernel_id": "191749"}, {"ref": "yuntai/notebookd81eb3bac6", "kernel_id": "191505"}, {"ref": "yuntai/starter-explore-youtube8m-sample-data-f8a0b1", "kernel_id": "197258"}, {"ref": "yuntai/starter-explore-youtube8m-sample-data-ca90a9", "kernel_id": "197103"}, {"ref": "zerter/notebook280a2826c1", "kernel_id": "204869"}, {"ref": "bryantravissmith/notebook382fe10b31", "kernel_id": "235843"}, {"ref": "bryantravissmith/notebook0db9169cb1", "kernel_id": "219995"}, {"ref": "donmdl/test1", "kernel_id": "236475"}, {"ref": "chicham/starter-explore-youtube8m-sample-data", "kernel_id": "188364"}, {"ref": "prashantmahesh/notebookb547b37508", "kernel_id": "246643"}, {"ref": "greddy/starter-explore-youtube8m-sample-data", "kernel_id": "190433"}, {"ref": "zhaojunnie/notebook9a14839e30", "kernel_id": "218766"}, {"ref": "joshbrady/starter-explore-youtube8m-sample-data", "kernel_id": "189312"}, {"ref": "neilzhang/youtube-8m", "kernel_id": "186864"}, {"ref": "evanmiller/basic-eda", "kernel_id": "209413"}, {"ref": "sallamdas/notebook9a6ea962d8", "kernel_id": "231870"}, {"ref": "vipink21/basic-eda-v1", "kernel_id": "230107"}, {"ref": "michaelclifford/notebook96c9bcc849", "kernel_id": "211629"}, {"ref": "junweiy/starter-explore-youtube8m-sample-data-a734cd", "kernel_id": "189474"}, {"ref": "culeforever/notebook50ef721340", "kernel_id": "186914"}, {"ref": "sharkov/notebook4396701163", "kernel_id": "231695"}, {"ref": "csyanbin/notebook7ce89f55db", "kernel_id": "241699"}, {"ref": "csyanbin/notebook6a1a9935be", "kernel_id": "240650"}, {"ref": "moyuji/notebook7cf1354dd3", "kernel_id": "198824"}, {"ref": "degree2space/starter-explore-youtube8m-sample-data-877e56", "kernel_id": "187616"}, {"ref": "degree2space/starter-explore-youtube8m-sample-data", "kernel_id": "187613"}, {"ref": "akshobg/notebook3d78afe968", "kernel_id": "204248"}, {"ref": "akshobg/yt8m-test", "kernel_id": "204249"}, {"ref": "sleepermonkey/most-popular-labels", "kernel_id": "205167"}, {"ref": "phanindrac/notebook1ef483aa38", "kernel_id": "236911"}, {"ref": "phanindrac/notebooka0bd701a56", "kernel_id": "245186"}, {"ref": "selvas/notebook77ef32807f", "kernel_id": "227482"}, {"ref": "sumanth1211/notebook27b2e59542", "kernel_id": "190051"}, {"ref": "gggitgyth/notebook0f23e7ff98", "kernel_id": "235440"}, {"ref": "duttaroy/starter-explore-youtube8m-sample-data", "kernel_id": "187367"}, {"ref": "vlarine/most-popular-labels", "kernel_id": "190837"}, {"ref": "dsmalls/starter-explore-youtube8m-sample-data", "kernel_id": "186616"}, {"ref": "lifeindeath/starter-explore-youtube8m-sample-data", "kernel_id": "186503"}, {"ref": "lifeindeath/notebooke91c6aaa6c", "kernel_id": "186501"}, {"ref": "marek5050/starter-explore-youtube8m-sample-data", "kernel_id": "186716"}, {"ref": "mtfall/notebooka98ab76d10", "kernel_id": "261095"}, {"ref": "chengxuyuanxiaowang/notebook3bd6724c6a", "kernel_id": "186180"}, {"ref": "vanausloos/starter-explore-youtube8m-sample-data", "kernel_id": "186915"}, {"ref": "dataventure/notebook39d8014a55", "kernel_id": "233566"}, {"ref": "iwontbecreative/starter-explore-youtube8m-sample-data", "kernel_id": "190842"}, {"ref": "vladbogo/notebook24fa45db67", "kernel_id": "267339"}, {"ref": "peterpower/notebook9d33aab717", "kernel_id": "194411"}, {"ref": "binksbiz/starter-explore-youtube8m-sample-data", "kernel_id": "196676"}, {"ref": "weissach/starter-explore-youtube8m-sample-data", "kernel_id": "194682"}, {"ref": "fangwc1226/you-tube-8m-for-sam", "kernel_id": "264177"}, {"ref": "drevan/starter-explore-youtube8m-sample-data", "kernel_id": "186705"}, {"ref": "drevan/starter-explore-youtube8m-sample-data-6308d1", "kernel_id": "188197"}, {"ref": "ryanerdmann/notebooka08f267059", "kernel_id": "211618"}, {"ref": "anguszhang/testfordata", "kernel_id": "193573"}, {"ref": "anguszhang/starter-explore-youtube8m-sample-data", "kernel_id": "193615"}, {"ref": "wallea/starter-explore-youtube8m-sample-data", "kernel_id": "187754"}, {"ref": "dastjead/notebook-for-test", "kernel_id": "186715"}, {"ref": "wen036/starter-explore-youtube8m-sample-data", "kernel_id": "215828"}, {"ref": "dineshkumarm/notebook228fddc0be", "kernel_id": "252690"}, {"ref": "ayushthakur/starter-explore-youtube8m-sample-data", "kernel_id": "186843"}, {"ref": "jgw2007/notebook101834cdc3", "kernel_id": "238818"}, {"ref": "bradtrew/notebookee99456fae", "kernel_id": "186744"}, {"ref": "coolingozone/starter-explore-youtube8m-sample-data-26cb30", "kernel_id": "193738"}, {"ref": "fpch19890404/notebook8fdc0c1365", "kernel_id": "202859"}, {"ref": "fpch19890404/notebook05da7932cb", "kernel_id": "202860"}, {"ref": "ritahu51/notebookfb09f6de2a", "kernel_id": "208329"}, {"ref": "hermetist/notebookdb191a4569", "kernel_id": "228731"}, {"ref": "sekunde/notebook9c92df9139", "kernel_id": "187813"}, {"ref": "sekunde/notebookda2055ae25", "kernel_id": "187815"}, {"ref": "thomas4/starter-explore-youtube8m-sample-data", "kernel_id": "190369"}, {"ref": "rayleighjeans/starter-explore-youtube8m-sample-data-1ecd38", "kernel_id": "190447"}, {"ref": "rayleighjeans/starter-explore-youtube8m-sample-data", "kernel_id": "188107"}, {"ref": "arpangupta87/notebookc729fcbef5", "kernel_id": "208799"}, {"ref": "wtbian/google-s-youtube", "kernel_id": "186556"}, {"ref": "shivangim/exploring-data", "kernel_id": "215645"}, {"ref": "snowgushi/notebooka276a5c97f", "kernel_id": "210033"}, {"ref": "hsyecheng/notebook80bf91b2d2", "kernel_id": "201588"}, {"ref": "mikell/most-popular-labels", "kernel_id": "205056"}, {"ref": "ipsitp/notebookf3389a0aac", "kernel_id": "186968"}, {"ref": "kudryavets/notebook45d2c59d91", "kernel_id": "186448"}, {"ref": "something4kag/starter-explore-youtube8m-sample-data", "kernel_id": "185768"}, {"ref": "drn01z3/keras-baseline-on-video-features-0-7941-lb", "kernel_id": "268283"}, {"ref": "snbhanja/notebookd22da6ca35", "kernel_id": "187845"}, {"ref": "rodrigomalacarne/starter-explore-youtube8m-sample-data", "kernel_id": "185990"}, {"ref": "jilluminati/yt8m-exploration", "kernel_id": "224427"}, {"ref": "tplandow/starter-explore-youtube8m-sample-data", "kernel_id": "193698"}, {"ref": "jokerljl/notebook55898ce2b0", "kernel_id": "186763"}, {"ref": "zyy20853/starter-explore-youtube8m-sample-data", "kernel_id": "190855"}, {"ref": "vivek8943/notebook6ce7b05af8", "kernel_id": "226978"}, {"ref": "agostontorok/notebook7de8c06d33", "kernel_id": "204333"}, {"ref": "antoinetran/starter-explore-youtube8m-sample-data", "kernel_id": "192935"}, {"ref": "antoinetran/starter-explore-youtube8m-sample-data-5f6101", "kernel_id": "194035"}, {"ref": "nik0lashka/0-7941-lb-outofmemory-fix-generator-fix", "kernel_id": "273497"}, {"ref": "kanwalpreetkaur/notebooka365cef28b", "kernel_id": "208836"}, {"ref": "yolandadlh/notebook73d8445b84", "kernel_id": "204573"}, {"ref": "yolandadlh/basic-exploration", "kernel_id": "212309"}, {"ref": "hasangam/notebook5881893343", "kernel_id": "209581"}, {"ref": "asimj12/method-for-transformation-from-tfr-into-df", "kernel_id": "205566"}, {"ref": "rajkk1/starter-explore-youtube8m-sample-data", "kernel_id": "191405"}, {"ref": "veerabhadrappa/youtube8m-explorer", "kernel_id": "278346"}, {"ref": "liaison/starter-explore-youtube8m-sample-data", "kernel_id": "192405"}, {"ref": "fredfav/notebook3be080a97c", "kernel_id": "186144"}, {"ref": "kavehf/notebook7b55c82f73", "kernel_id": "198319"}, {"ref": "jacklone/starter-explore-youtube8m-sample-data-bd66ae", "kernel_id": "191680"}, {"ref": "jacklone/starter-explore-youtube8m-sample-data", "kernel_id": "189586"}, {"ref": "jacklone/starter-explore-youtube8m-sample-data-6e5b49", "kernel_id": "190673"}, {"ref": "rmtogether/notebook9c3db4c97a", "kernel_id": "211872"}, {"ref": "rishikeshkushwaha/notebookfea29e6e4f", "kernel_id": "194053"}, {"ref": "adamringhede/rnn-test", "kernel_id": "235559"}, {"ref": "gtrimarc/starter-explore-youtube8m-sample-data", "kernel_id": "186527"}, {"ref": "gtrimarc/starter-explore-youtube8m-sample-data-96f9f1", "kernel_id": "192379"}, {"ref": "yffuds/starter-explore-youtube8m-sample-data", "kernel_id": "186520"}, {"ref": "aagundez/test-mds-24234243", "kernel_id": "248593"}, {"ref": "aagundez/notebookafea8a9582", "kernel_id": "252764"}, {"ref": "aagundez/notebook90ff249922", "kernel_id": "243664"}, {"ref": "aagundez/competition-2342345", "kernel_id": "268566"}, {"ref": "aagundez/competition", "kernel_id": "268542"}, {"ref": "trangmx/exploring-youtube8m-sample-data", "kernel_id": "186812"}, {"ref": "vihangpatil/explore-video-level-youtube-8m", "kernel_id": "228838"}, {"ref": "vihangpatil/notebook6a6b1a02dc", "kernel_id": "239877"}, {"ref": "sekrier/most-popular-labels", "kernel_id": "211622"}, {"ref": "rafaelmm/notebook67e4875d78", "kernel_id": "190025"}, {"ref": "martijnde/notebookf232846c6d", "kernel_id": "186492"}, {"ref": "martijnde/fork-of-starter-explore-youtube8m-sample-data-fo", "kernel_id": "186484"}, {"ref": "martijnde/exploring-the-sample-data-for-google-8-mln-comp", "kernel_id": "186517"}, {"ref": "martijnde/starter-explore-youtube8m-sample-data-12f5f9", "kernel_id": "197438"}, {"ref": "jatinjansari/starter-explore-youtube8m-sample-data", "kernel_id": "186997"}, {"ref": "ericnana/testkoogle", "kernel_id": "211867"}, {"ref": "adriaanslechten/notebookda140a6526", "kernel_id": "238250"}, {"ref": "adriaanslechten/notebook58b80fe62b", "kernel_id": "238252"}, {"ref": "jihyeseo/video-youtube", "kernel_id": "958678"}, {"ref": "gmanjunath/starter-explore-youtube8m-sample-data", "kernel_id": "191972"}, {"ref": "basile35/notebookd5a60a8d64", "kernel_id": "191900"}, {"ref": "ncorcoran/starter-explore-youtube8m-sample-data", "kernel_id": "188422"}, {"ref": "dmg123/starter-explore-youtube8m-sample-data", "kernel_id": "186477"}, {"ref": "tbskmmm/starter-explore-youtube8m-sample-data", "kernel_id": "197189"}, {"ref": "tbskmmm/notebook7b6e711126", "kernel_id": "196170"}, {"ref": "andychen1204/starter-explore-youtube8m-sample-data", "kernel_id": "196762"}, {"ref": "oldfox/notebook1b32e88a27", "kernel_id": "200130"}, {"ref": "lpveeken/starter-explore-youtube8m-sample-data", "kernel_id": "187035"}, {"ref": "hisuka/notebookf38d0cc4fa", "kernel_id": "201827"}, {"ref": "chaitanya0412/notebookf4bc514748", "kernel_id": "190992"}, {"ref": "chaitanya0412/starter-explore-youtube8m-sample-data", "kernel_id": "190867"}, {"ref": "inesnumi/notebookd59b4237a8", "kernel_id": "209782"}, {"ref": "ocorcoll/starter-explore-youtube8m-sample-data", "kernel_id": "187898"}, {"ref": "ettoreriva/youtube-8m-analysis-test", "kernel_id": "227229"}, {"ref": "yinling/starter-explore-youtube8m-sample-data", "kernel_id": "187429"}, {"ref": "sgovindu/starter-explore-youtube8m-sample-data", "kernel_id": "188869"}, {"ref": "xziems/notebook4949c69f1c", "kernel_id": "187246"}, {"ref": "lpadukana/starter-explore-youtube8m-sample-data", "kernel_id": "189275"}, {"ref": "kolikaran/exploring-sample-data", "kernel_id": "254463"}, {"ref": "kolikaran/starter-explore-youtube8m-sample-data", "kernel_id": "254458"}, {"ref": "kolikaran/youtube8m-eda", "kernel_id": "254447"}, {"ref": "sofmonk/starter-explore-youtube8m-sample-data", "kernel_id": "193894"}, {"ref": "vincentcr/notebook8648f19310", "kernel_id": "210868"}, {"ref": "osamir/notebook180cda51e2", "kernel_id": "263478"}, {"ref": "bissben/notebook279cda2475", "kernel_id": "209516"}, {"ref": "bissben/notebookace2481831", "kernel_id": "210711"}, {"ref": "bissben/notebook391bd4f38a", "kernel_id": "210686"}, {"ref": "bissben/notebookb938a65a39", "kernel_id": "210665"}, {"ref": "bissben/notebook4a200c6269", "kernel_id": "210667"}, {"ref": "bissben/notebook60c988305e", "kernel_id": "209815"}, {"ref": "bissben/notebookced8e4aabd", "kernel_id": "208103"}, {"ref": "yeyedaren/notebook891da340e0", "kernel_id": "200355"}, {"ref": "mingruimingrui/method-for-transformation-from-tfr-into-df", "kernel_id": "200467"}, {"ref": "marsam/notebook7c1bce85ec", "kernel_id": "228049"}, {"ref": "marsam/starter-explore-youtube8m-sample-data-ce8d78", "kernel_id": "197327"}, {"ref": "marsam/starter-explore-youtube8m-sample-data", "kernel_id": "197286"}, {"ref": "luudactam/starter-explore-youtube8m-sample-data", "kernel_id": "185859"}, {"ref": "jackcen/notebooka99da01b38", "kernel_id": "277251"}, {"ref": "prinku1/starter-explore-youtube8m-sample-data", "kernel_id": "187140"}, {"ref": "sgipdata/starter-explore-youtube8m-sample-data", "kernel_id": "193901"}, {"ref": "sgipdata/first-try", "kernel_id": "192986"}, {"ref": "abhishekjd/notebookd35e0d05d8", "kernel_id": "236593"}, {"ref": "alijs1/random-test", "kernel_id": "190089"}, {"ref": "as9070/starter-explore-youtube8m-sample-data", "kernel_id": "185996"}, {"ref": "jameswong1234/notebook7a2162477d", "kernel_id": "213226"}, {"ref": "kantologist/starter-explore-youtube8m-sample-data", "kernel_id": "187013"}, {"ref": "kumesh/starter-explore-youtube8m-sample-data", "kernel_id": "194823"}, {"ref": "manalivteli/starter-explore-youtube8m-sample-data", "kernel_id": "186421"}, {"ref": "tinmantapestry/notebook95f9dc38e1", "kernel_id": "264679"}, {"ref": "ntokozo/notebookcd8e222e97", "kernel_id": "264861"}, {"ref": "ntokozo/notebook5610ee3dad", "kernel_id": "264871"}, {"ref": "ntokozo/notebook087afd6161", "kernel_id": "263609"}, {"ref": "qingnan/starter-explore-youtube8m-sample-data", "kernel_id": "190833"}, {"ref": "mbeierling/data-exploration", "kernel_id": "264301"}, {"ref": "deepnet/starter-explore-youtube8m", "kernel_id": "225211"}, {"ref": "unicorncharm/starter-explore-youtube8m-sample-data", "kernel_id": "195022"}, {"ref": "adrianmassey/notebookf0cb91ae08", "kernel_id": "204682"}, {"ref": "harrywithdata/notebook724b84f889", "kernel_id": "240882"}, {"ref": "harrywithdata/notebook9c19d59065", "kernel_id": "243215"}, {"ref": "harrywithdata/notebookaced0349fe", "kernel_id": "243181"}, {"ref": "harrywithdata/notebook4865022396", "kernel_id": "243158"}, {"ref": "harrywithdata/notebookd79522db41", "kernel_id": "243349"}, {"ref": "amirdaaee/notebookaed0956832", "kernel_id": "186425"}, {"ref": "palak2/notebook363e899cc3", "kernel_id": "217584"}, {"ref": "pierretisseur/first-try", "kernel_id": "221158"}, {"ref": "nightshade7/notebooke6e0d6a8e5", "kernel_id": "205950"}, {"ref": "amclu1/notebookbdb31fc12e", "kernel_id": "213354"}, {"ref": "anuraagpatil/notebookb10d8435e7", "kernel_id": "203336"}, {"ref": "premkrishn/starter-explore-youtube8m-sample-data", "kernel_id": "191764"}, {"ref": "zhouyusong/starter-explore-youtube8m-sample-data", "kernel_id": "258665"}, {"ref": "hagerrady/starter-explore-youtube8m-sample-data", "kernel_id": "263446"}, {"ref": "merceddong/notebook80ff5e2ab5", "kernel_id": "206505"}, {"ref": "stephbian/starter-explore-youtube8m-sample-data", "kernel_id": "192535"}, {"ref": "spikyspider/starter-explore-youtube8m-sample-data", "kernel_id": "186908"}, {"ref": "wario7/starter-explore-youtube8m-sample-data", "kernel_id": "187904"}, {"ref": "wario7/starter-explore-youtube8m-sample-data-d052e4", "kernel_id": "187956"}, {"ref": "wario7/starter-explore-youtube8m-sample-data-1ee295", "kernel_id": "188072"}, {"ref": "wario7/starter-explore-youtube8m-sample-data-6c0f04", "kernel_id": "188024"}, {"ref": "wario7/starter-explore-youtube8m-sample-data-ac376a", "kernel_id": "188033"}, {"ref": "gyronee/starter-explore-youtube8m-sample-data", "kernel_id": "187822"}, {"ref": "which0326/notebook1bf114279a", "kernel_id": "212399"}, {"ref": "pratiksb/notebookb5160f3cf4", "kernel_id": "186550"}, {"ref": "rickymf4/notebook25bc39c5f1", "kernel_id": "217271"}, {"ref": "rickymf4/notebook7d932acf78", "kernel_id": "217272"}, {"ref": "andreslindner/nyc-taxi-trip-duration-competition-gtlv", "kernel_id": "339324"}, {"ref": "zhanglic/starter-explore-youtube8m-sample-data", "kernel_id": "243611"}, {"ref": "jbrajkumar/test-youtube8m", "kernel_id": "245184"}, {"ref": "jbrajkumar/notebook6cae44c770", "kernel_id": "245157"}, {"ref": "richardwangjun/notebook0637ea914a", "kernel_id": "191849"}, {"ref": "zingzingzing/starter-explore-youtube8m-sample-data", "kernel_id": "189502"}, {"ref": "francescodesimone/starter-explore-youtube8m-sample-data", "kernel_id": "185649"}, {"ref": "pmw9440/notebook1ee341b1c9", "kernel_id": "236070"}, {"ref": "alexpayne/starter-explore-youtube8m-sample-data", "kernel_id": "192445"}, {"ref": "katidev/starter-explore-youtube8m-sample-data", "kernel_id": "187373"}, {"ref": "darrellulm/google-cloud-youtube-8m-video-testrun", "kernel_id": "224233"}, {"ref": "aglotero/starter-explore-youtube8m-sample-data", "kernel_id": "185626"}, {"ref": "felicityeva/starter-explore-youtube8m-sample-data", "kernel_id": "201838"}, {"ref": "rshaydu/starter-explore-youtube8m-sample-data", "kernel_id": "233087"}, {"ref": "pankajkumarmic/notebook76d24d1d6f", "kernel_id": "249286"}, {"ref": "xpeuler/split-video-for-data-augmentation", "kernel_id": "275316"}, {"ref": "xpeuler/frame2nparray", "kernel_id": "219295"}, {"ref": "chengzhan/notebookfa084160a8", "kernel_id": "241408"}, {"ref": "smy1119/starter-explore-youtube8m-sample-data-5cb26e", "kernel_id": "195117"}, {"ref": "smy1119/starter-explore-youtube8m-sample-data", "kernel_id": "194832"}, {"ref": "peng0041/starter-explore-youtube8m-sample-data", "kernel_id": "193768"}, {"ref": "wert23239/notebookc923f27c6a", "kernel_id": "237723"}, {"ref": "ngineer247/starter-explore-youtube8m-sample-data-pd", "kernel_id": "192308"}, {"ref": "ngineer247/notebooka81fdc504c", "kernel_id": "192303"}, {"ref": "rosettast/notebook2b48237e1a", "kernel_id": "237974"}, {"ref": "navbharti/starter-explore-youtube8m-sample-data-b93362", "kernel_id": "190642"}, {"ref": "navbharti/starter-explore-youtube8m-sample-data", "kernel_id": "187106"}, {"ref": "kittarzan/eda-and-messing-around-with-tf", "kernel_id": "212708"}, {"ref": "dysonlin/starter-explore-youtube8m-sample-data", "kernel_id": "187702"}, {"ref": "dysonlin/starter-explore-youtube8m-sample-data-26cf3f", "kernel_id": "189686"}, {"ref": "mihaidanielvirna/notebookea9bafb6ac", "kernel_id": "206433"}, {"ref": "rexpert/you-one", "kernel_id": "245916"}, {"ref": "m7onov/starter-explore-youtube8m-sample-data", "kernel_id": "196302"}, {"ref": "tilakd/youtube-auto-label", "kernel_id": "203774"}, {"ref": "haeinkim/notebook28ca5c2b34", "kernel_id": "216635"}, {"ref": "haeinkim/notebook5dca87bcbb", "kernel_id": "216626"}, {"ref": "zhangxuangu/starter-explore-youtube8m-sample-data", "kernel_id": "186134"}, {"ref": "jazzskier/notebook061805fd7d", "kernel_id": "243465"}, {"ref": "tingtsai/starter-explore-youtube8m-sample-data", "kernel_id": "187611"}, {"ref": "tingtsai/test-explore-notebooks", "kernel_id": "187311"}, {"ref": "alassanendiaye/starter-explore-youtube8m-sample-data", "kernel_id": "191403"}, {"ref": "aananthag/starter-explore-youtube8m-sample-data", "kernel_id": "186920"}, {"ref": "max555beyond/import", "kernel_id": "225717"}, {"ref": "alarreche/notebook3684b88570", "kernel_id": "185809"}, {"ref": "alarreche/notebookc1891123bd", "kernel_id": "185810"}, {"ref": "ravhui/ravhui999", "kernel_id": "213770"}, {"ref": "mawaji/starter-explore-youtube8m-sample-data", "kernel_id": "186699"}, {"ref": "berliner44/starter-explore-youtube8m-sample-data", "kernel_id": "189735"}, {"ref": "mlsawyer/starter-explore-youtube8m-sample-data", "kernel_id": "186936"}, {"ref": "nickczj/notebookf87d9fe384", "kernel_id": "188870"}, {"ref": "nickczj/notebook94a13f582a", "kernel_id": "188871"}, {"ref": "nickczj/notebooke68b31b9d4", "kernel_id": "188872"}, {"ref": "nickczj/starter-explore-youtube8m-sample-data", "kernel_id": "188873"}, {"ref": "bluezzz/starter-explore-youtube8m-sample-data", "kernel_id": "190600"}, {"ref": "manishsaraswat/notebook0359b89b24", "kernel_id": "268981"}, {"ref": "zachwelz/starter-explore-youtube8m-sample-data", "kernel_id": "193646"}, {"ref": "ljcassano/notebook53a91db6ac", "kernel_id": "186165"}, {"ref": "chaolongchen/explore-youtube8m-sample-data", "kernel_id": "191185"}, {"ref": "jitto1/starter-explore-youtube8m-sample-data", "kernel_id": "186778"}, {"ref": "roongr2k7/starter-explore-youtube8m-sample-data", "kernel_id": "187737"}, {"ref": "koendebock/starter-explore-youtube8m-sample-data", "kernel_id": "188141"}, {"ref": "deephugs/starter-explore-youtube8m-sample-data", "kernel_id": "188294"}, {"ref": "asanoboy/starter-explore-youtube8m-sample-data-8d8c44", "kernel_id": "195754"}, {"ref": "asanoboy/starter-explore-youtube8m-sample-data", "kernel_id": "195737"}, {"ref": "kuixui/rnn-test", "kernel_id": "259653"}, {"ref": "firovel/starter-explore-youtube8m-sample-data", "kernel_id": "190305"}, {"ref": "gopalakr/youtube8m-eda", "kernel_id": "253621"}, {"ref": "otakusul/notebookc375b692e1", "kernel_id": "234910"}, {"ref": "otakusul/notebook40f64c44af", "kernel_id": "234452"}, {"ref": "jasonzhj/notebookba149ebdfb", "kernel_id": "244751"}, {"ref": "jrishabh/notebook72efa86744", "kernel_id": "221578"}, {"ref": "jrishabh/notebook1bfc5300dd", "kernel_id": "221808"}, {"ref": "jrishabh/notebookff1da2c78b", "kernel_id": "260389"}, {"ref": "shikhir94/first-try", "kernel_id": "203714"}, {"ref": "cmuhao/starter-explore-youtube8m-sample-data", "kernel_id": "203028"}, {"ref": "shu2cheng/notebook42ce9a6358", "kernel_id": "256679"}, {"ref": "jafree/notebook93169cd5a0", "kernel_id": "203988"}, {"ref": "ayanzadeh93/starter-explore-youtube8m-sample-data-1ef63e", "kernel_id": "266253"}, {"ref": "yeluting/notebook5bf86cafd6", "kernel_id": "207885"}, {"ref": "edchen8/notebook3301365d11", "kernel_id": "224387"}, {"ref": "lgmdl666/starter-explore-youtube8m-sample-data", "kernel_id": "245177"}, {"ref": "yinpeng/notebooke28ff289e1", "kernel_id": "226330"}, {"ref": "jtanvi/notebook7fb76492d8", "kernel_id": "231876"}, {"ref": "purvakamat/notebook7ded33b06b", "kernel_id": "231877"}, {"ref": "purvakamat/notebook5e67b2f4eb", "kernel_id": "232340"}, {"ref": "rickyoung/notebookb54558c1d1", "kernel_id": "243033"}, {"ref": "aaronwackeer/notebook38eb966ccf", "kernel_id": "247292"}, {"ref": "kriszhang823/notebook7fc0a914ac", "kernel_id": "240878"}, {"ref": "kriszhang823/notebook1ed4edd825", "kernel_id": "239513"}, {"ref": "kriszhang823/notebooka113d624cc", "kernel_id": "243348"}, {"ref": "kriszhang823/notebook1232b4f08f", "kernel_id": "243379"}, {"ref": "kriszhang823/notebookacfe70251f", "kernel_id": "243380"}, {"ref": "vampfasai/fasai-youtube-nb", "kernel_id": "216757"}, {"ref": "dsvip15/notebooka31be50340", "kernel_id": "241767"}, {"ref": "dsvip15/yt8mm", "kernel_id": "241774"}, {"ref": "sanoka/notebook110837d150", "kernel_id": "221657"}, {"ref": "sanoka/notebook85b0414c68", "kernel_id": "220730"}, {"ref": "sanoka/notebook905ebffc02", "kernel_id": "220731"}, {"ref": "dingliheng/notebookc7b6980c13", "kernel_id": "222463"}, {"ref": "dingliheng/youtube-label", "kernel_id": "222465"}, {"ref": "sgross/notebook2af89c2fb0", "kernel_id": "227674"}, {"ref": "peiyangdata/notebook18fa8571e3", "kernel_id": "271018"}, {"ref": "peiyangdata/data-exploration", "kernel_id": "255795"}, {"ref": "bjuneja/notebooka66029cd5a", "kernel_id": "236928"}, {"ref": "smithtoner/notebook7c27c7193f", "kernel_id": "234889"}, {"ref": "xbldev/test-notebook-for-google-youtube-classification", "kernel_id": "232794"}, {"ref": "xbldev/test-kernel-for-google-youtube-competition", "kernel_id": "231845"}, {"ref": "cpattekar/notebook-explore-youtube8m-sample-data", "kernel_id": "249835"}, {"ref": "cpattekar/notebook-youtube-8m-video", "kernel_id": "264524"}, {"ref": "acktam/notebook0492cae96e", "kernel_id": "236926"}, {"ref": "wenxuanhuang/notebook027d917408", "kernel_id": "247929"}, {"ref": "cassiomo/starter-explore-youtube8m-sample-data", "kernel_id": "266816"}, {"ref": "zhigangz/notebook8c9783686e", "kernel_id": "263822"}, {"ref": "jakeshi/utube8m", "kernel_id": "270763"}, {"ref": "ejreyesp/starter-explore-youtube8m-sample-data", "kernel_id": "346467"}, {"ref": "adrian1acoran/starter-explore-youtube8m-sample-data", "kernel_id": "2052081"}, {"ref": "mnds18/eda-explore-youtube8m-sample-data", "kernel_id": "2967539"}, {"ref": "deshwalmahesh/rnn-you-ve-been-reading-it-the-wrong-way", "kernel_id": "14465441"}]}
{"competition_id": "6067", "kernels": []}
{"competition_id": "6072", "kernels": []}
{"competition_id": "6097", "kernels": []}
{"competition_id": "6098", "kernels": []}
{"competition_id": "6100", "kernels": [{"ref": "wcukierski/notebook49c262a834", "kernel_id": "172282"}, {"ref": "willieliao/survival-of-seeds-as-of-2016", "kernel_id": "201960"}, {"ref": "willieliao/every-possible-tournament-game", "kernel_id": "203995"}, {"ref": "wacaxx/seed-benchmark-in-r", "kernel_id": "175493"}, {"ref": "wacaxx/elo-playerratings-benchmark-in-r", "kernel_id": "175495"}, {"ref": "wacaxx/understanding-elo", "kernel_id": "176926"}, {"ref": "caioaao/load-data-to-sqlite", "kernel_id": "179193"}, {"ref": "schmit/simulating-the-tournament-using-pystan", "kernel_id": "212090"}, {"ref": "baeng72/basic-prediction", "kernel_id": "174406"}, {"ref": "antriksh5235/logistic-regression-scikit-learn", "kernel_id": "188371"}, {"ref": "antriksh5235/notebook7ababfbb40", "kernel_id": "180160"}, {"ref": "jaredcross/flexible-elo-code", "kernel_id": "204685"}, {"ref": "aikinogard/cf-starter-with-keras-0-560136", "kernel_id": "173974"}, {"ref": "opanichev/lb-0-6179-simple-btb", "kernel_id": "174719"}, {"ref": "cdupin/plotting-elo-rating-super-cycle-evolutions", "kernel_id": "194042"}, {"ref": "pratik1390/notebook361f12a789", "kernel_id": "258725"}, {"ref": "codebender/where-is-the-new-data", "kernel_id": "209972"}, {"ref": "scirpus/genetic-programming-5", "kernel_id": "174995"}, {"ref": "enfeizhan/history-proved-easy-bets", "kernel_id": "184878"}, {"ref": "raddar/19-place-ml-solution", "kernel_id": "228214"}, {"ref": "raddar/shiny-app-to-lookup-your-predictions-for-a-game", "kernel_id": "212519"}, {"ref": "arti32lehtonen/study-of-regular-and-tourney-compact-datasets", "kernel_id": "178278"}, {"ref": "ecki0388/scrap-player-data-takes-very-long", "kernel_id": "204466"}, {"ref": "adamwlev/counts-of-each-seed-that-have-reached-each-round", "kernel_id": "187769"}, {"ref": "jihyeseo/ncaa-tournament", "kernel_id": "958691"}, {"ref": "randomnumb/seed-matchup-visualization", "kernel_id": "208788"}, {"ref": "rohit751/calculating-your-score-stage-1", "kernel_id": "207858"}, {"ref": "shobhitbhatnagar1/python-keras", "kernel_id": "178203"}, {"ref": "freeradical/simple-linear-model-using-seed-difference-in-r", "kernel_id": "181191"}, {"ref": "jinrui/ncaa-basketball", "kernel_id": "249727"}, {"ref": "mlennox562/regular-season-compact-results-visualisation", "kernel_id": "174082"}, {"ref": "kplauritzen/notebookde27b18258", "kernel_id": "174902"}, {"ref": "kplauritzen/elo-ratings-in-python", "kernel_id": "175735"}, {"ref": "vijayakapoor/r-code-with-logistic-regression-glm", "kernel_id": "188923"}, {"ref": "mcnimr13/cs-322-mlmm-work", "kernel_id": "228266"}, {"ref": "hstove/calculating-regular-season-averages", "kernel_id": "181464"}, {"ref": "juampilorenzo/a-ml-approach-to-march-madness-0-45", "kernel_id": "187196"}, {"ref": "ajniggles/logistic-regression-and-game-round-calculator", "kernel_id": "191604"}, {"ref": "jemxgw/data-imputation-with-two-methods", "kernel_id": "206032"}, {"ref": "midouuu/notebookf8c7b64761", "kernel_id": "244919"}, {"ref": "hankpeng03/notebook323367342c", "kernel_id": "276471"}, {"ref": "paultimothymooney/predict-ncaa-basketball-2018", "kernel_id": "734080"}, {"ref": "paultimothymooney/predict-ncaa-basketball-2017-491782", "kernel_id": "734101"}, {"ref": "chaodly/kernelebf13f2451", "kernel_id": "989065"}, {"ref": "ericbaranowski/predict-ncaa-basketball-2018", "kernel_id": "734821"}, {"ref": "kaledata/nba-prediction", "kernel_id": "4461934"}, {"ref": "santhiyar/day-28-task", "kernel_id": "20215487"}]}
{"competition_id": "6109", "kernels": []}
{"competition_id": "6116", "kernels": [{"ref": "bazinga/use-keras-to-classify-sea-lions-0-91-accuracy", "kernel_id": "234814"}, {"ref": "digitalbro/notebook9e7e7c7c3d", "kernel_id": "231697"}, {"ref": "asymptote/count-extract-sea-lions", "kernel_id": "221813"}, {"ref": "asymptote/notebook6bd2d15a82", "kernel_id": "221817"}, {"ref": "datacanary/list-files-available-in-kernels", "kernel_id": "221429"}, {"ref": "weizhezhang/notebookef7e2106f7", "kernel_id": "221535"}, {"ref": "mandarup/tensorflow-sea-lion-classifier-tutorial", "kernel_id": "240758"}, {"ref": "sorind/notebookdc5a27912e", "kernel_id": "223158"}, {"ref": "titericz/mean-std-mod1", "kernel_id": "231260"}, {"ref": "xiangze/tensorflow-sea-lion-classifier-tutorial", "kernel_id": "240572"}, {"ref": "seagull12/notebook32f60bb74e", "kernel_id": "225292"}, {"ref": "edinburgh/notebookb58022a03a", "kernel_id": "226779"}, {"ref": "jiechengzhao/notebookd225f50882", "kernel_id": "234604"}, {"ref": "jiechengzhao/notebookedb2bc5e3d", "kernel_id": "234605"}, {"ref": "karle1/notebookd93613b92e", "kernel_id": "280373"}, {"ref": "kmader/qbi-2017-single-object-analysis", "kernel_id": "222947"}, {"ref": "eschwarzkopf/notebook380f4829c5", "kernel_id": "232227"}, {"ref": "sra1phani/first-run", "kernel_id": "271554"}, {"ref": "artemmy/notebook5168330920", "kernel_id": "233956"}, {"ref": "artemmy/notebook6bfb75c74c", "kernel_id": "235183"}, {"ref": "artemmy/notebook535679f613", "kernel_id": "235188"}, {"ref": "woters/finding-gerald-get-to-the-point", "kernel_id": "228247"}, {"ref": "woters/baseline-submission", "kernel_id": "228248"}, {"ref": "woters/finding-gerald", "kernel_id": "231943"}, {"ref": "andrep/notebook727a8b3a34", "kernel_id": "230480"}, {"ref": "nancyr/first-notebook", "kernel_id": "223467"}, {"ref": "aamaia/get-coordinates-using-blob-detection-d48eed", "kernel_id": "232549"}, {"ref": "darkhorse1/notebookdc739d5083", "kernel_id": "241428"}, {"ref": "philschmidt/sea-lion-correlations-cv2-template-matching", "kernel_id": "221998"}, {"ref": "shgidi/mean-std-mod1", "kernel_id": "236399"}, {"ref": "jjeeffoo/notebookedb5d817b6", "kernel_id": "223797"}, {"ref": "zsaurk/notebook2ef90bc25e", "kernel_id": "237776"}, {"ref": "arbernardez/notebook7cb3c11963", "kernel_id": "221873"}, {"ref": "laurentdubois/notebook324c8fe8e0", "kernel_id": "223636"}, {"ref": "jasonquick/use-keras-to-classify-sea-lions-0-91-accuracy", "kernel_id": "242658"}, {"ref": "jasonquick/notebook6f124af62d", "kernel_id": "242650"}, {"ref": "toshik/relations-between-counts-and-image-size", "kernel_id": "283182"}, {"ref": "jeffhebert/sea-lions-simple-feature-prediction-in-r", "kernel_id": "279245"}, {"ref": "advaitsakhalkar/notebookeb2458fef1", "kernel_id": "230430"}, {"ref": "darraghdog/notebookc2ad0edd18", "kernel_id": "230140"}, {"ref": "darraghdog/get-train-file", "kernel_id": "230141"}, {"ref": "palanikrishnan/notebook15ddbd77f3", "kernel_id": "249162"}, {"ref": "powerstat2013/count-extract-sea-lions", "kernel_id": "275545"}, {"ref": "dmenin/test1", "kernel_id": "224200"}, {"ref": "mccroden/notebookfafee30e63", "kernel_id": "229779"}, {"ref": "nareshbabral/notebook47c9e63a85", "kernel_id": "290042"}, {"ref": "bguberfain/notebookc8a1231f47", "kernel_id": "236089"}, {"ref": "howerj/notebook6f4804641a", "kernel_id": "224364"}, {"ref": "speedoheck/notebook43c0d919f1", "kernel_id": "236184"}, {"ref": "gaoxinyang/kaggle-test", "kernel_id": "222335"}, {"ref": "gaoxinyang/notebooke22e6e313e", "kernel_id": "222324"}, {"ref": "leifpoorman/sandbox", "kernel_id": "238766"}, {"ref": "madplanner/data-augmentation-image-cropping-rotation-and-2d", "kernel_id": "245244"}, {"ref": "fanpeng2/notebook890d09ea36", "kernel_id": "248517"}, {"ref": "fanpeng2/notebookdfcd73bd82", "kernel_id": "248520"}, {"ref": "fanpeng2/notebook14826fc8ab", "kernel_id": "254588"}, {"ref": "rahulbajaj83/notebookeaae47718d", "kernel_id": "222177"}, {"ref": "moezarella/notebookc4a0d716c9", "kernel_id": "230426"}, {"ref": "moezarella/extract-coordinates-using-color-distances", "kernel_id": "230429"}, {"ref": "bitsofbits/sea-lion-coordinates-tweaked-skimage-version", "kernel_id": "225626"}, {"ref": "satadru5/classify-sea-lions", "kernel_id": "263149"}, {"ref": "andraszsom/predict-the-number-of-pups", "kernel_id": "222327"}, {"ref": "alviur/notebookced1c7b546", "kernel_id": "268607"}, {"ref": "vidyag/notebookeac20d95b1", "kernel_id": "247845"}, {"ref": "mtfall/notebook6656f31d89", "kernel_id": "233645"}, {"ref": "tetlanesh/notebookcc1bba854a", "kernel_id": "238770"}, {"ref": "guppi3695/notebook78e935f810", "kernel_id": "221866"}, {"ref": "nanocular/count-extract-sea-lions", "kernel_id": "223000"}, {"ref": "radustoicescu/count-the-sea-lions-in-the-first-image", "kernel_id": "228614"}, {"ref": "radustoicescu/use-keras-to-classify-sea-lions-0-91-accuracy", "kernel_id": "227581"}, {"ref": "radustoicescu/get-coordinates-using-blob-detection", "kernel_id": "226863"}, {"ref": "juxy2016/notebookc7ff79d47a", "kernel_id": "222066"}, {"ref": "subarnarana1/notebookfa751be846", "kernel_id": "227096"}, {"ref": "subarnarana1/sea-lion-correlations", "kernel_id": "223633"}, {"ref": "hermetist/notebook55a99afc81", "kernel_id": "228732"}, {"ref": "notbot/notebook4303ccd322", "kernel_id": "221595"}, {"ref": "notbot/notebookd394f62ff2", "kernel_id": "221596"}, {"ref": "linkanray/notebook947d108da9", "kernel_id": "234852"}, {"ref": "icerider/median", "kernel_id": "221843"}, {"ref": "yourwanghao/notebook1ad0660f2e", "kernel_id": "234486"}, {"ref": "attila007/mean-std-mod1", "kernel_id": "229110"}, {"ref": "nishathussain/mean-std-mod1", "kernel_id": "243725"}, {"ref": "sr71nighthawk/notebook44f1d8f5cb", "kernel_id": "228518"}, {"ref": "chabir/notebook0fc2830cb6", "kernel_id": "236939"}, {"ref": "shivsood/notebook43361fd890", "kernel_id": "249093"}, {"ref": "willjashford/not-the-walrus", "kernel_id": "221932"}, {"ref": "badrobot/notebookc10de21ea6", "kernel_id": "249196"}, {"ref": "michaelzxu/counting-dots-and-not-sea-lions", "kernel_id": "223394"}, {"ref": "michaelzxu/counting-dots", "kernel_id": "223384"}, {"ref": "davidleejy/notebooke63c39d301", "kernel_id": "225522"}, {"ref": "vfdev5/mean-std", "kernel_id": "222622"}, {"ref": "vfdev5/traindotted-train-for-3-7-9-jpg", "kernel_id": "222368"}, {"ref": "vfdev5/updated-data-exploration", "kernel_id": "222300"}, {"ref": "drmccleod/notebook2c62b654c5", "kernel_id": "224880"}, {"ref": "drorasaf/nuasdl", "kernel_id": "225673"}, {"ref": "wuwuwuxxx/get-coordinates-using-blob-detection", "kernel_id": "227066"}, {"ref": "wuwuwuxxx/fisher", "kernel_id": "222919"}, {"ref": "amitkumarjaiswal/sea-lion-correlations-cv2-template-matching", "kernel_id": "232000"}, {"ref": "tumbzilla/notebook23a51e271e", "kernel_id": "245841"}, {"ref": "mzhouliang/notebook999e518f32", "kernel_id": "221832"}, {"ref": "mzhouliang/something", "kernel_id": "222471"}, {"ref": "mmaria/fork-of-notebook8d92b99089", "kernel_id": "244112"}, {"ref": "mmaria/notebook8d92b99089", "kernel_id": "241560"}, {"ref": "nikhil2008v/notebook1e50d6cb06", "kernel_id": "230925"}, {"ref": "nikhil2008v/notebook83414e997f", "kernel_id": "230926"}, {"ref": "mohamedsamy/generating-text-files-for-dots-coordinates", "kernel_id": "222725"}, {"ref": "scromhee/notebook9cd72cca3c", "kernel_id": "229113"}, {"ref": "scromhee/notebook9a1bd75a52", "kernel_id": "229071"}, {"ref": "jbullers/notebookbe48a06c47", "kernel_id": "228371"}, {"ref": "hebertodelrio/notebookf24c501e4f", "kernel_id": "259212"}, {"ref": "athirajacob/notebook71afc16cf3", "kernel_id": "238369"}, {"ref": "robwishart/finding-gerald-get-to-the-point", "kernel_id": "227519"}, {"ref": "aagundez/notebookc3587b2a0d", "kernel_id": "243666"}, {"ref": "litstrong/hello", "kernel_id": "241518"}, {"ref": "litstrong/use-keras-to-classify-sea-lions-0-91-accur-4877cd", "kernel_id": "241520"}, {"ref": "litstrong/sea-lions-baseline", "kernel_id": "235471"}, {"ref": "herber523/use-keras-to-classify-sea-lions-0-91-accuracy", "kernel_id": "238057"}, {"ref": "jihyeseo/image-count-sea-lion", "kernel_id": "958665"}, {"ref": "inodino/notebook79b5fe802f", "kernel_id": "226828"}, {"ref": "damichoi/notebook0ee1868a31", "kernel_id": "223100"}, {"ref": "makio323/notebookf346680c7c", "kernel_id": "240979"}, {"ref": "kdjamel/test-1", "kernel_id": "267205"}, {"ref": "jsalas/notebookc95b2ff3b2", "kernel_id": "227642"}, {"ref": "hindupuravinash/noahh", "kernel_id": "278342"}, {"ref": "marksalacinski/sea-lion-coordinates", "kernel_id": "224963"}, {"ref": "ankitakalra/notebookd31468dc40", "kernel_id": "221965"}, {"ref": "jannis96/short-segmentation-attempt", "kernel_id": "224771"}, {"ref": "geonanayi/finding-gerald", "kernel_id": "221739"}, {"ref": "geonanayi/use-keras-to-classify-sea-lions-0-91-accuracy", "kernel_id": "240133"}, {"ref": "osamir/notebookf7878d32cd", "kernel_id": "235097"}, {"ref": "bissben/notebookf0743dc77c", "kernel_id": "256247"}, {"ref": "bissben/notebookb085fb1218", "kernel_id": "261777"}, {"ref": "calderty/notebook5c043a8793", "kernel_id": "236185"}, {"ref": "hirokiii/notebook1a36cf86cc", "kernel_id": "231869"}, {"ref": "hirokiii/count-extract-sea-lions", "kernel_id": "232309"}, {"ref": "oysteijo/just-displaying-the-images", "kernel_id": "221715"}, {"ref": "gsordyl/flock-exploration", "kernel_id": "222080"}, {"ref": "abhmul/baseline-submission", "kernel_id": "226840"}, {"ref": "tanlikesmath/mean-std", "kernel_id": "223372"}, {"ref": "ianbell/notebook6428104740", "kernel_id": "221648"}, {"ref": "mightymikee/mikeesea", "kernel_id": "224874"}, {"ref": "datameet/ml-animal-recognition", "kernel_id": "223383"}, {"ref": "munkhuu/notebook1644f2189a", "kernel_id": "227277"}, {"ref": "munkhuu/find-lion", "kernel_id": "227279"}, {"ref": "lzx1413/sea-lion-coordinates", "kernel_id": "224404"}, {"ref": "staturecrane/sea-lion-coordinates-2", "kernel_id": "229888"}, {"ref": "staturecrane/sea-lion-coordinates", "kernel_id": "227418"}, {"ref": "beyondkaggle/get-coordinates-using-blob-detection-456e7d", "kernel_id": "237999"}, {"ref": "gayatripushpita/a-beginner-s-analysis-of-the-sea-lion-challenge", "kernel_id": "624828"}, {"ref": "davidfumo/sea-lions-classifier", "kernel_id": "247879"}, {"ref": "pierretisseur/median-mean", "kernel_id": "238328"}, {"ref": "kbrendle/use-keras-to-classify-sea-lions-0-91-accuracy", "kernel_id": "253999"}, {"ref": "byfone/median", "kernel_id": "222945"}, {"ref": "byfone/means", "kernel_id": "222992"}, {"ref": "byfone/median-mean", "kernel_id": "222971"}, {"ref": "rojre1979/noaa-sample-script", "kernel_id": "245463"}, {"ref": "sudhamsu/sea-lions", "kernel_id": "249087"}, {"ref": "geethan/notebooke9e39a38f8", "kernel_id": "228670"}, {"ref": "silent56/explore-data", "kernel_id": "221617"}, {"ref": "grimmace/find-dots-check-all-images", "kernel_id": "224817"}, {"ref": "grimmace/notebook2072132444", "kernel_id": "224136"}, {"ref": "grimmace/recognizing-spots", "kernel_id": "224425"}, {"ref": "justinliu412/notebook6be6247333", "kernel_id": "222413"}, {"ref": "hubert0527/notebook2d721e791f", "kernel_id": "278542"}, {"ref": "camwasi/notebook82507fac3f", "kernel_id": "226587"}, {"ref": "srikanthnamuduri/notebookf43e655a9a", "kernel_id": "238575"}, {"ref": "adrianne/notebook479ce185e7", "kernel_id": "268219"}, {"ref": "balintfodor/notebookec9195fe8a", "kernel_id": "221980"}, {"ref": "mengmengw/explore-data", "kernel_id": "222397"}, {"ref": "mengmengw/notebookc3bbf4d172", "kernel_id": "222377"}, {"ref": "mengmengw/notebookda756fcc74", "kernel_id": "222378"}, {"ref": "mengmengw/notebookdd63909be4", "kernel_id": "222380"}, {"ref": "mengmengw/notebookdfa8d5fbb4", "kernel_id": "222381"}, {"ref": "linhlinhking/notebook17e319ceec", "kernel_id": "237023"}, {"ref": "yaminl/count-the-sea-lions-in-the-first-image", "kernel_id": "257025"}, {"ref": "ranbato/finding-the-dots", "kernel_id": "221758"}, {"ref": "ekane043/kaneel01-machine-learning420-final-project", "kernel_id": "235192"}, {"ref": "abhi1314/asfsdfdsg", "kernel_id": "221623"}, {"ref": "abhi1314/tytyt", "kernel_id": "221605"}, {"ref": "petterhg/finding-dots", "kernel_id": "230781"}, {"ref": "petterhg/notebook82a148daac", "kernel_id": "230771"}, {"ref": "petterhg/finding-dot-positions", "kernel_id": "230773"}, {"ref": "petterhg/notebook2b1fca7cd1", "kernel_id": "240515"}, {"ref": "esuene/get-coordinates-using-blob-detection", "kernel_id": "253812"}, {"ref": "daveliew/notebook9dd94645a6", "kernel_id": "221505"}, {"ref": "even311379/sea-lion-counting", "kernel_id": "222482"}, {"ref": "threeplusone/sea-lion-coordinates", "kernel_id": "223001"}, {"ref": "threeplusone/sea-lion-data", "kernel_id": "226713"}, {"ref": "buaagaojie/solve-noaa-problem", "kernel_id": "248381"}, {"ref": "naagaharikrishna/simple-data-exploration", "kernel_id": "221943"}, {"ref": "naagaharikrishna/simple-exploration", "kernel_id": "221801"}, {"ref": "xmj9999/notebook28b0a819f1", "kernel_id": "222013"}, {"ref": "anarkhede/classify-sealions", "kernel_id": "222247"}, {"ref": "londondan/kaggle-sea-lion-testing", "kernel_id": "236897"}, {"ref": "yuchunchien/crop-2", "kernel_id": "263835"}, {"ref": "yuchunchien/fork-of-crop-2", "kernel_id": "263838"}, {"ref": "yuchunchien/crop-image", "kernel_id": "263788"}, {"ref": "yuchunchien/notebook250c19612f", "kernel_id": "234880"}, {"ref": "yuchunchien/notebook8e093f84a4", "kernel_id": "234844"}, {"ref": "yuchunchien/merge-flip-with-parse", "kernel_id": "249046"}, {"ref": "yuchunchien/flip-functionalism", "kernel_id": "248087"}, {"ref": "yuchunchien/parse-file-flip", "kernel_id": "248065"}, {"ref": "yuchunchien/generate-dotted-gt", "kernel_id": "248005"}, {"ref": "yuchunchien/notebookbefdcba6c4", "kernel_id": "252740"}, {"ref": "yuchunchien/notebook6dace81185", "kernel_id": "252759"}, {"ref": "yuchunchien/notebook9ffcece89a", "kernel_id": "242827"}, {"ref": "yuchunchien/parse-file-with-augment-y-up", "kernel_id": "242720"}, {"ref": "yuchunchien/parse-file-with-augment-x-right", "kernel_id": "242711"}, {"ref": "yuchunchien/parse-file-with-x-left-success", "kernel_id": "242689"}, {"ref": "yuchunchien/notebookedb4457fed", "kernel_id": "242759"}, {"ref": "yuchunchien/notebook037b78d405", "kernel_id": "242766"}, {"ref": "yuchunchien/parse-refill", "kernel_id": "242767"}, {"ref": "yuchunchien/parse-file-with-augment-y-down", "kernel_id": "242732"}, {"ref": "yuchunchien/parse-file-with-augment-x-left", "kernel_id": "242672"}, {"ref": "yuchunchien/parse-file-whole", "kernel_id": "242447"}, {"ref": "yuchunchien/see-dotted", "kernel_id": "241853"}, {"ref": "yuchunchien/parse-file-with-arg", "kernel_id": "241805"}, {"ref": "yuchunchien/parse-verify", "kernel_id": "241719"}, {"ref": "yuchunchien/notebook75a2835bc5", "kernel_id": "241587"}, {"ref": "yuchunchien/notebook94b204f14f", "kernel_id": "241605"}, {"ref": "yuchunchien/notebook6e77fb6acd", "kernel_id": "241611"}, {"ref": "yuchunchien/parse-file3", "kernel_id": "241629"}, {"ref": "yuchunchien/notebook328d77eedf", "kernel_id": "241617"}, {"ref": "yuchunchien/parse-file", "kernel_id": "241620"}, {"ref": "yuchunchien/notebookb6162e9a15", "kernel_id": "241621"}, {"ref": "yuchunchien/parse-file2", "kernel_id": "241623"}, {"ref": "yuchunchien/parse-file-with-annotation", "kernel_id": "241708"}, {"ref": "abench/notebook6b320fe26a", "kernel_id": "221916"}, {"ref": "kapilyadav/notebook525ed645d2", "kernel_id": "246090"}, {"ref": "kapilyadav/test3", "kernel_id": "246091"}, {"ref": "kapilyadav/notebook04854517a3", "kernel_id": "252924"}, {"ref": "saquibhafiz/notebookcd5f190aed", "kernel_id": "222576"}, {"ref": "elchico1990/notebookac701cf44b", "kernel_id": "238061"}, {"ref": "bwaldt/3515313", "kernel_id": "230466"}, {"ref": "markds1/notebookf85de46ea9", "kernel_id": "245878"}, {"ref": "kiansheik/notebook7182591350", "kernel_id": "227772"}, {"ref": "swarren/sea-lion-coordinates", "kernel_id": "226176"}, {"ref": "dagopa/notebookcbd2ad2e57", "kernel_id": "238495"}, {"ref": "aryanjnyc/notebooke025635370", "kernel_id": "223282"}, {"ref": "tusohelp/use-conv-net-to-find-sea-lions", "kernel_id": "237164"}, {"ref": "kraftysteve/notebook7051004e54", "kernel_id": "241590"}, {"ref": "shujiaohuang/notebook19c79c2811", "kernel_id": "226872"}, {"ref": "collinrsmith/notebooka7f8aa2356", "kernel_id": "223092"}, {"ref": "kingburrito666/using-base-tensorlfow-to-count-sea-lions-1-22", "kernel_id": "240125"}, {"ref": "kingburrito666/get-coordinates-using-blob-detection", "kernel_id": "236291"}, {"ref": "benchiislett/mean-std-mod1", "kernel_id": "232557"}, {"ref": "authman/fix-all-the-errors", "kernel_id": "233179"}, {"ref": "outrunner/use-keras-to-count-sea-lions", "kernel_id": "286574"}, {"ref": "azaftanveer/notebook24e9f839aa", "kernel_id": "242082"}, {"ref": "wk66666/notebook2ca6e09513", "kernel_id": "222338"}, {"ref": "wk66666/notebook97c31480dd", "kernel_id": "222340"}, {"ref": "wk66666/notebook6bef6904f0", "kernel_id": "222519"}, {"ref": "jesyfax/notebook971611f6f4", "kernel_id": "275991"}, {"ref": "aaalucard/use-keras-to-classify-sea-lions", "kernel_id": "228495"}, {"ref": "georgeyin/notebook27bb6e0cb6", "kernel_id": "241517"}, {"ref": "mopierre/qbi-2017-single-object-analysis", "kernel_id": "245060"}, {"ref": "nikitabu/brrrr", "kernel_id": "274748"}, {"ref": "davidmercury/notebookc881f8b1d2", "kernel_id": "224532"}, {"ref": "davidmercury/visualize-the-sunbath-network-of-sea-lion", "kernel_id": "226333"}, {"ref": "haihai210/notebook65accf1490", "kernel_id": "232053"}, {"ref": "buer9402/sea-lion-correlations-cv2-template-matching", "kernel_id": "235790"}, {"ref": "buer9402/count-extract-sea-lions", "kernel_id": "234900"}, {"ref": "ramunter/dataset-analysis", "kernel_id": "269917"}, {"ref": "adriedane/images-and-dotted-images-id-3-7-and-9-differ", "kernel_id": "223706"}, {"ref": "wizzup/notebook3dfda60b88", "kernel_id": "246722"}, {"ref": "santhoshkumarkct/notebook03d14fe4f2", "kernel_id": "233145"}, {"ref": "redherring/asfsd", "kernel_id": "227554"}, {"ref": "ugaliguy/notebook910a8eb6da", "kernel_id": "248892"}, {"ref": "ugaliguy/notebook3d7c1d42c5", "kernel_id": "249823"}, {"ref": "chabuk/notebook839690927a", "kernel_id": "223420"}, {"ref": "mohsinkarim/how-many-sea-lions", "kernel_id": "221511"}, {"ref": "czhang96/notebook4a0cfb8077", "kernel_id": "223082"}, {"ref": "czhang96/notebook329041e599", "kernel_id": "223091"}, {"ref": "thunderflash/notebook08511eb12c", "kernel_id": "238664"}, {"ref": "tangsiqi/notebooka18506b277", "kernel_id": "221912"}, {"ref": "trainerscj/notebook9c6320341b", "kernel_id": "222206"}, {"ref": "torecluik/notebook0f1f2b0fad", "kernel_id": "223901"}, {"ref": "jieluuu/just-try", "kernel_id": "225978"}, {"ref": "jieluuu/notebook75ba008993", "kernel_id": "227766"}, {"ref": "xujinhua/startpoint", "kernel_id": "235478"}, {"ref": "jasonfox/test1", "kernel_id": "224855"}, {"ref": "jsmt76/notebookd9cbf382eb", "kernel_id": "275518"}, {"ref": "cjlovering/notebook4760694c77", "kernel_id": "230036"}, {"ref": "crapsy/counting-the-red-dots", "kernel_id": "230768"}, {"ref": "crapsy/first-try", "kernel_id": "230774"}, {"ref": "crapsy/tensorflow-sea-lion-classifier-tutorial", "kernel_id": "240606"}, {"ref": "crapsy/image-preprocessing", "kernel_id": "240625"}, {"ref": "abhisan/notebook1643d06c61", "kernel_id": "227799"}, {"ref": "rishabh4/notebook6cc2a12e2b", "kernel_id": "228629"}, {"ref": "rishabh4/notebook64ad9caaa8", "kernel_id": "228671"}, {"ref": "hausmilbe/notebookb18a6d42f8", "kernel_id": "228952"}, {"ref": "beatricius/making-sense-of-the-data", "kernel_id": "229309"}, {"ref": "funikurakun/notebookf3fa4a9d53", "kernel_id": "229383"}, {"ref": "funikurakun/tests", "kernel_id": "229386"}, {"ref": "subbytech/notebook8abbd4267c", "kernel_id": "233986"}, {"ref": "tylerlindell/notebookc3b6ae5f79", "kernel_id": "231145"}, {"ref": "xbldev/test-kernel-for-counting-sea-lion-competition", "kernel_id": "232708"}, {"ref": "cpattekar/notebook-sea-lion-correlations-cv2", "kernel_id": "268068"}, {"ref": "devinntaylor/notebookea3e88045f", "kernel_id": "234628"}, {"ref": "robinrorobin/notebook9794d0ff9f", "kernel_id": "234784"}, {"ref": "robinrorobin/coordinates", "kernel_id": "234850"}, {"ref": "robinrorobin/notebook2d1bfb0922", "kernel_id": "234851"}, {"ref": "cloverlake/notebook1711835ff5", "kernel_id": "239057"}, {"ref": "bennelr/kaneel01-machine-learning420-final-project", "kernel_id": "259192"}, {"ref": "rpwr021/5-6-17", "kernel_id": "253283"}, {"ref": "jtruelee/notebookbd1d0fc653", "kernel_id": "243305"}, {"ref": "marekv/notebook7d9d9d26a7", "kernel_id": "247532"}, {"ref": "nickkizhang/sea-lion-coordinates", "kernel_id": "258153"}, {"ref": "bjoeris/notebook5f7e87a5f0", "kernel_id": "269473"}, {"ref": "andreab330/notebook3e7e894c76", "kernel_id": "275237"}, {"ref": "sardinipasta/kera-sea-lion-count", "kernel_id": "12270504"}, {"ref": "alexanderkireev/07-ml-trainings-cv", "kernel_id": "110825598"}, {"ref": "devianahustamil/tugas-1", "kernel_id": "124648271"}]}
{"competition_id": "6127", "kernels": []}
{"competition_id": "6152", "kernels": []}
{"competition_id": "6163", "kernels": []}
{"competition_id": "6176", "kernels": []}
{"competition_id": "6197", "kernels": []}
{"competition_id": "6207", "kernels": []}
{"competition_id": "6223", "kernels": []}
{"competition_id": "6231", "kernels": []}
{"competition_id": "6232", "kernels": []}
{"competition_id": "6241", "kernels": []}
{"competition_id": "6242", "kernels": []}
{"competition_id": "6243", "kernels": [{"ref": "antgoldbloom/notebooke21a42cbc0", "kernel_id": "256337"}, {"ref": "keyeoh/notebook96d01e1200", "kernel_id": "219167"}, {"ref": "vicentinho/testno1", "kernel_id": "215269"}, {"ref": "dowdyg1/notebook90ce5c5984", "kernel_id": "216287"}, {"ref": "dowdyg1/test1", "kernel_id": "216346"}, {"ref": "dowdyg1/test2", "kernel_id": "216347"}, {"ref": "dowdyg1/notebook1", "kernel_id": "216515"}, {"ref": "dowdyg1/alternate-way-to-locate-pictures", "kernel_id": "217009"}, {"ref": "dowdyg1/notebook45081fcb58", "kernel_id": "216523"}, {"ref": "dowdyg1/notebook78a9bd49d5", "kernel_id": "216524"}, {"ref": "mathurinache/notebook0fc3287d0d", "kernel_id": "246103"}, {"ref": "wendykan/list-files-2", "kernel_id": "211563"}, {"ref": "robinkraft/notebook0d6941197f", "kernel_id": "239161"}, {"ref": "mandarup/complete-process-using-resnet-as-a-starting-point", "kernel_id": "228190"}, {"ref": "soufianeorama/notebooka968396f31", "kernel_id": "219275"}, {"ref": "soufianeorama/notebook6e663ec7ff", "kernel_id": "219279"}, {"ref": "harica/data-exploration", "kernel_id": "245660"}, {"ref": "anirbanlahiri/notebook80196b422c", "kernel_id": "211756"}, {"ref": "surmenok/notebooka3527c830b", "kernel_id": "231228"}, {"ref": "harsh27/notebooka6010a01cd", "kernel_id": "220011"}, {"ref": "harsh27/notebook2d1def0a91", "kernel_id": "221403"}, {"ref": "harsh27/kaggle-kernel-check", "kernel_id": "221399"}, {"ref": "ravigarg27/notebook67e84cba24", "kernel_id": "212624"}, {"ref": "adenutzzza/notebooke8bec9d1f6", "kernel_id": "249893"}, {"ref": "tianlins/artificial-intelligence-for-cc-screening", "kernel_id": "267973"}, {"ref": "mikeskim/start", "kernel_id": "278211"}, {"ref": "kmader/file-features-based-submission", "kernel_id": "211786"}, {"ref": "juandoso/feature-extraction-with-pretrained-deep-model", "kernel_id": "211888"}, {"ref": "dafnevk/notebook7e640b1e13", "kernel_id": "265436"}, {"ref": "dbrout/notebook3b9ccd960d", "kernel_id": "211890"}, {"ref": "dbrout/attempt1", "kernel_id": "216674"}, {"ref": "ivelin/initial-notebook", "kernel_id": "213219"}, {"ref": "ivelin/notebook7471d7fc4e", "kernel_id": "222307"}, {"ref": "howardjp/notebookca9b57ec8f", "kernel_id": "211700"}, {"ref": "akilaw/start", "kernel_id": "277480"}, {"ref": "akilaw/artificial-intelligence-for-cc-screening", "kernel_id": "237182"}, {"ref": "akilaw/file-features-based-submission", "kernel_id": "213382"}, {"ref": "aamaia/leeak", "kernel_id": "217501"}, {"ref": "aamaia/three-empty-images-in-additional-7z", "kernel_id": "211708"}, {"ref": "grfiv4/log-loss-depicted-2", "kernel_id": "233261"}, {"ref": "grfiv4/plot-a-confusion-matrix", "kernel_id": "233267"}, {"ref": "grfiv4/learning-curves-2", "kernel_id": "233271"}, {"ref": "philschmidt/cervix-eda-model-selection", "kernel_id": "211729"}, {"ref": "tanios/notebook8b103dd364", "kernel_id": "211726"}, {"ref": "tanios/list-files", "kernel_id": "211715"}, {"ref": "bcajes/artificial-intelligence-for-cc-screening", "kernel_id": "279813"}, {"ref": "loveall/tpot-on-cervical-cancer-image-screening", "kernel_id": "358520"}, {"ref": "mrnaught/notebookd5d86b325d", "kernel_id": "227178"}, {"ref": "rjmishra/exploring-kaggle-environment", "kernel_id": "224400"}, {"ref": "sandeepmokashi/notebook630fdbba5b", "kernel_id": "237995"}, {"ref": "speriyasamy/intel-mobileodt-cervical-cancer-screening", "kernel_id": "248778"}, {"ref": "vrathee/vikasr", "kernel_id": "248774"}, {"ref": "miguelpm/r-mxnet-simple-tutorial", "kernel_id": "255423"}, {"ref": "zhangzhiquan/test-for-using-this-data", "kernel_id": "239921"}, {"ref": "prasannakumar2012/notebook7e019b6adb", "kernel_id": "249773"}, {"ref": "srinivasgurrala/start", "kernel_id": "276536"}, {"ref": "prakashpvss/segmentation-using-gmm", "kernel_id": "214946"}, {"ref": "shw210/notebookedcca90c48", "kernel_id": "224961"}, {"ref": "ramgct20/intel-test-run", "kernel_id": "275327"}, {"ref": "samrotashoka/start1", "kernel_id": "278354"}, {"ref": "samrotashoka/test-num-001", "kernel_id": "277136"}, {"ref": "hackabit/notebookefe6eac354", "kernel_id": "215584"}, {"ref": "powerstat2013/complete-process-using-resnet-as-a-starting-point", "kernel_id": "276241"}, {"ref": "powerstat2013/file-features-based-submission", "kernel_id": "276281"}, {"ref": "powerstat2013/cervix-eda-model-selection", "kernel_id": "279295"}, {"ref": "rhysjmartin/first-notebook", "kernel_id": "236778"}, {"ref": "judyhh/notebook2523f4da74", "kernel_id": "243015"}, {"ref": "explore/notebook7416b98778", "kernel_id": "246177"}, {"ref": "mathias5/notebookce01cade9b", "kernel_id": "215007"}, {"ref": "dbgriffith01/notebooka331f2588d", "kernel_id": "211846"}, {"ref": "wyhgood/test-py", "kernel_id": "214093"}, {"ref": "wyhgood/notebookfc415687f7", "kernel_id": "214100"}, {"ref": "colingrodecoeur/notebook955776a13c", "kernel_id": "227946"}, {"ref": "emoron/data-exploration", "kernel_id": "274419"}, {"ref": "nchris6717/artificial-intelligence-for-cc-screening", "kernel_id": "245763"}, {"ref": "nchris6717/artificial-intelligence-for-cc-screening-97f2a9", "kernel_id": "246485"}, {"ref": "kambarakun/use-google-drive-on-colfax-cluster", "kernel_id": "221964"}, {"ref": "kambarakun/check-hashsum-of-additional-type-7z-on-3-27", "kernel_id": "221642"}, {"ref": "kambarakun/check-hashsum-md5-and-sha1-of-dataset", "kernel_id": "214490"}, {"ref": "kambarakun/check-all-dataset-size-and-missing-1-of-4", "kernel_id": "214124"}, {"ref": "kambarakun/check-all-dataset-size-and-missing-3-of-4", "kernel_id": "214214"}, {"ref": "kambarakun/check-all-dataset-size-and-missing-2-of-4", "kernel_id": "214186"}, {"ref": "kambarakun/check-all-dataset-size-and-missing-4-of-4", "kernel_id": "214188"}, {"ref": "kambarakun/notebook09fd6957b8", "kernel_id": "212113"}, {"ref": "kambarakun/how-to-start-with-python-on-colfax-cluster", "kernel_id": "212116"}, {"ref": "poonaml/intel-cervical-cancer-eda", "kernel_id": "212086"}, {"ref": "interesting/notebook0a1ef5576f", "kernel_id": "211723"}, {"ref": "reshreat/notebook006ca94ca3", "kernel_id": "235516"}, {"ref": "rjskr01/cancer-screening", "kernel_id": "211907"}, {"ref": "victormayrink/teammustardscript", "kernel_id": "278207"}, {"ref": "deveaup/checking-bounding-boxes-and-additional-dataset", "kernel_id": "238398"}, {"ref": "mlesna/cervix-ml-competition", "kernel_id": "212858"}, {"ref": "deepbro/notebook30f2fb7b92", "kernel_id": "256807"}, {"ref": "rishabhbindal7/notebook446a5ba4fb", "kernel_id": "211721"}, {"ref": "hariebr/notebooke1cfecdb05", "kernel_id": "211788"}, {"ref": "thariqkhalid/notebook330640836d", "kernel_id": "254314"}, {"ref": "thariqkhalid/notebook0d250541b6", "kernel_id": "251528"}, {"ref": "herilalaina/analysis-image", "kernel_id": "211747"}, {"ref": "eazysmiles/notebooke426b94814", "kernel_id": "211875"}, {"ref": "briangibson/notebook243b669bff", "kernel_id": "219359"}, {"ref": "mtfall/notebookfa77305cd3", "kernel_id": "278290"}, {"ref": "cpruce/cervix-image-segmentation", "kernel_id": "212148"}, {"ref": "oshribr/notebookdb95d003b6", "kernel_id": "239371"}, {"ref": "amineteffal/notebook27ea38743b", "kernel_id": "212274"}, {"ref": "guppi3695/basic", "kernel_id": "223550"}, {"ref": "guppi3695/notebookd34a2b020a", "kernel_id": "222630"}, {"ref": "ryankung/pre-work-of-imgs", "kernel_id": "253272"}, {"ref": "krrish1729/data-exloration", "kernel_id": "211917"}, {"ref": "tebzito/artificial-intelligence-for-cc-screening-08cb91", "kernel_id": "239760"}, {"ref": "tebzito/artificial-intelligence-for-cc-screening-599b06", "kernel_id": "239773"}, {"ref": "ponadto/pretty-simple-starter-kernel", "kernel_id": "256232"}, {"ref": "hinese/notebookfde0cc2947", "kernel_id": "243138"}, {"ref": "hinese/notebookf23b220125", "kernel_id": "243141"}, {"ref": "hinese/notebookaa00b156e7", "kernel_id": "224135"}, {"ref": "hinese/eda-p1", "kernel_id": "224137"}, {"ref": "hinese/notebookd93d4fb061", "kernel_id": "223925"}, {"ref": "dbsnail/notebookefbeb00329", "kernel_id": "239142"}, {"ref": "evanzhu2013/notebookd64f4b2ac2", "kernel_id": "234264"}, {"ref": "evanzhu2013/notebookdd5f5fb363", "kernel_id": "234261"}, {"ref": "aparnaroy/notebook3d4f2778ac", "kernel_id": "224305"}, {"ref": "agarwalnaimish/notebook48e0a818b2", "kernel_id": "256253"}, {"ref": "hongying/notebook3e66a5eeaf", "kernel_id": "224995"}, {"ref": "hongying/test3", "kernel_id": "237605"}, {"ref": "hongying/test2", "kernel_id": "236036"}, {"ref": "pnajit/notebook36171a764d", "kernel_id": "232893"}, {"ref": "pnajit/notebookdf365660df", "kernel_id": "233483"}, {"ref": "anjanduttaroy/data-exploration", "kernel_id": "274376"}, {"ref": "jdingpku/notebook1f9862b298", "kernel_id": "234953"}, {"ref": "daij1492/ccs-tst-0-1", "kernel_id": "259105"}, {"ref": "daij1492/notebooke5528701f2", "kernel_id": "258559"}, {"ref": "carlosaguayo/region-of-interest-roi-detection", "kernel_id": "272916"}, {"ref": "samidh/notebook241a181b06", "kernel_id": "278426"}, {"ref": "avnerkantor/notebook10b6ac9484", "kernel_id": "239175"}, {"ref": "yeofra/cervix-eda", "kernel_id": "216962"}, {"ref": "robotmartin/notebooked6cf3142c", "kernel_id": "213685"}, {"ref": "priyankur/notebook225807c3ce", "kernel_id": "241421"}, {"ref": "lestatzhang/notebookd3171bbe9a", "kernel_id": "217423"}, {"ref": "vivek4/data-exploration1-1", "kernel_id": "278199"}, {"ref": "vfdev5/type-1-clustering", "kernel_id": "234020"}, {"ref": "vfdev5/cervix-rectangles-generator", "kernel_id": "234113"}, {"ref": "vfdev5/keras-data-generator-and-a-random-submission", "kernel_id": "212217"}, {"ref": "vfdev5/data-exploration-1", "kernel_id": "211742"}, {"ref": "vfdev5/keras-tryouts", "kernel_id": "211827"}, {"ref": "vfdev5/possibly-corrupted-image-1339-type-1", "kernel_id": "213051"}, {"ref": "wchensf/notebook3123313cc0", "kernel_id": "245895"}, {"ref": "dataer/applying-unsupervised-methods-machine-learning", "kernel_id": "216401"}, {"ref": "fgmsu2014/notebookd10696a8c5", "kernel_id": "211984"}, {"ref": "fgmsu2014/notebookbc0ee1a942", "kernel_id": "211985"}, {"ref": "banser/notebooke2bf31426f", "kernel_id": "214391"}, {"ref": "mathandmad/yet-another-data-exploration", "kernel_id": "212419"}, {"ref": "kentchun33333/data-exploration", "kernel_id": "244580"}, {"ref": "zfturbo/cervix-rectangles-generator", "kernel_id": "233957"}, {"ref": "bellman/notebook25d32e9931", "kernel_id": "214381"}, {"ref": "beliefbio/notebook5a063a834f", "kernel_id": "252974"}, {"ref": "beliefbio/notebookc5b69daa79", "kernel_id": "252981"}, {"ref": "beliefbio/notebook2a861795e7", "kernel_id": "255746"}, {"ref": "tumbzilla/notebook0d1cef74ed", "kernel_id": "231827"}, {"ref": "scottykwok/using-slice", "kernel_id": "259300"}, {"ref": "scottykwok/making-sense-out-of-some-difficult-samples", "kernel_id": "253238"}, {"ref": "kummar/notebook38638c61dc", "kernel_id": "275875"}, {"ref": "adamuas/keras-test", "kernel_id": "258073"}, {"ref": "sanzgiri/complete-process-using-resnet-as-a-starting-point", "kernel_id": "234307"}, {"ref": "arjoonn/first-look", "kernel_id": "211975"}, {"ref": "jieliu/keras-data-generator-and-a-random-submission", "kernel_id": "215508"}, {"ref": "jieliu/keras-intel", "kernel_id": "215428"}, {"ref": "prudhviraj12/notebookf945a52fb6", "kernel_id": "211906"}, {"ref": "ankittalele/notebookdde2a35207", "kernel_id": "220830"}, {"ref": "anokas/experimental-data-analysis", "kernel_id": "211660"}, {"ref": "accssharma/notebook9c575da352", "kernel_id": "253486"}, {"ref": "grasshaha/notebook8c66e70ca0", "kernel_id": "226571"}, {"ref": "grasshaha/notebook914eb261a8", "kernel_id": "227632"}, {"ref": "wschulz/notebook4c9ba248f0", "kernel_id": "225086"}, {"ref": "wschulz/notebookd870e2523d", "kernel_id": "225088"}, {"ref": "greymatter8654/notebookc8928af22c", "kernel_id": "214126"}, {"ref": "thonicc/notebook2e3f4d4079", "kernel_id": "231341"}, {"ref": "thonicc/notebookdc621866d4", "kernel_id": "229523"}, {"ref": "matallan/notebookb18beceb16", "kernel_id": "218770"}, {"ref": "chattob/cervix-segmentation-gmm", "kernel_id": "217789"}, {"ref": "chattob/artificial-intelligence-for-cc-screening", "kernel_id": "239056"}, {"ref": "jahanpour/data-wrangling", "kernel_id": "259235"}, {"ref": "jahanpour/notebooke4c00018d6", "kernel_id": "259237"}, {"ref": "dbcerigo/cervix-init", "kernel_id": "263110"}, {"ref": "etcareva/notebookd037dfb7cf", "kernel_id": "234898"}, {"ref": "chuijh/cervix-segmentation-gmm", "kernel_id": "243911"}, {"ref": "bithammer/my-first-try", "kernel_id": "226502"}, {"ref": "bhupendra36/how-to-start-with-python-on-colfax-cluster", "kernel_id": "228291"}, {"ref": "bhupendra36/cervix-segmentation-gmm", "kernel_id": "228292"}, {"ref": "bhupendra36/how-to-start-with-python-on-colfax-cluster-cancer", "kernel_id": "259890"}, {"ref": "shomenbanerjee/odt-v5", "kernel_id": "271546"}, {"ref": "peparhugo/notebookf307a304b6", "kernel_id": "213647"}, {"ref": "jihyeseo/cancer-graphic-image-cervix-types", "kernel_id": "958666"}, {"ref": "badoun/how-old-are-you", "kernel_id": "211886"}, {"ref": "goodmorningdave/notebookf0e73e60c8", "kernel_id": "233966"}, {"ref": "zacharyfmarion/notebooka5c568f3ab", "kernel_id": "254874"}, {"ref": "zacharyfmarion/notebookd22b95c01b", "kernel_id": "254878"}, {"ref": "hanqiu/artificial-intelligence-for-cc-screening", "kernel_id": "245592"}, {"ref": "lrincones/notebook6253dd9dfb", "kernel_id": "220107"}, {"ref": "guilhermebernardo/notebook2d373c00bc", "kernel_id": "248062"}, {"ref": "gweijie/start1", "kernel_id": "279091"}, {"ref": "yadavsarthak/notebook07edb5856b", "kernel_id": "224565"}, {"ref": "yadavsarthak/notebookc0b49aa5dc", "kernel_id": "221899"}, {"ref": "yadavsarthak/notebookdaf98fdd76", "kernel_id": "221903"}, {"ref": "smcateer/notebookcc6f48ec1b", "kernel_id": "211792"}, {"ref": "hindupuravinash/initial", "kernel_id": "278884"}, {"ref": "sasounda/notebookb0ea8a232d", "kernel_id": "243668"}, {"ref": "yashurastogi/notebookf6ba7ee33d", "kernel_id": "235600"}, {"ref": "jackielin/jackie-test", "kernel_id": "213773"}, {"ref": "zjscnovo/notebookbb0beb5f0e", "kernel_id": "259442"}, {"ref": "swethag04/notebookeda5d9c2b4", "kernel_id": "222394"}, {"ref": "naotous/data-exploration", "kernel_id": "236045"}, {"ref": "imcyru/notebook40f0ba87f9", "kernel_id": "230415"}, {"ref": "sharif/notebook77cb2c522b", "kernel_id": "211728"}, {"ref": "shbrief/notebookc9b59e1393", "kernel_id": "235908"}, {"ref": "shbrief/cervical-cancer-screening", "kernel_id": "235909"}, {"ref": "shbrief/notebookb7bfbeb8ac", "kernel_id": "235485"}, {"ref": "pineapplebun/notebooke3c8845973", "kernel_id": "254937"}, {"ref": "oysteijo/fixup-script-for-old-download-of-additional-files", "kernel_id": "224209"}, {"ref": "oysteijo/fixup-for-old-download", "kernel_id": "224210"}, {"ref": "fheybati/notebookc3a0718fc0", "kernel_id": "213367"}, {"ref": "changhao1986/notebook9505aa2e34", "kernel_id": "216849"}, {"ref": "vermashresth/kerascnnclean", "kernel_id": "259784"}, {"ref": "vermashresth/kerascnnclean2", "kernel_id": "260727"}, {"ref": "vermashresth/kerascnncancer", "kernel_id": "257849"}, {"ref": "vermashresth/kerascnnmodel2", "kernel_id": "258305"}, {"ref": "vermashresth/notebook62b3525cda", "kernel_id": "258998"}, {"ref": "vermashresth/cancerscreening", "kernel_id": "257672"}, {"ref": "venkateshbk/notebookf284935a9c", "kernel_id": "262636"}, {"ref": "prafulbhoyar/cervical-cancel-screening", "kernel_id": "271303"}, {"ref": "nearby/notebook4b2dcb4d53", "kernel_id": "211855"}, {"ref": "kbiskobing/notebook916047c4fb", "kernel_id": "234679"}, {"ref": "burcht11/notebook29249bc9be", "kernel_id": "240095"}, {"ref": "jjgarrett0/notebookbe8847f7ef", "kernel_id": "240212"}, {"ref": "jjgarrett0/notebookeee12864b5", "kernel_id": "239510"}, {"ref": "ceabadie/notebookaca1d7cef7", "kernel_id": "275662"}, {"ref": "makinito/data-exploration", "kernel_id": "274585"}, {"ref": "rogergou/complete-process-using-resnet-as-a-starting-point", "kernel_id": "277563"}, {"ref": "neeraj1519/notebook3e3f8bd2e3", "kernel_id": "254778"}, {"ref": "neeraj1519/notebookb3f3862a27", "kernel_id": "254793"}, {"ref": "neeraj1519/notebookfdd709cc7c", "kernel_id": "254759"}, {"ref": "neeraj1519/notebook3b0866ee12", "kernel_id": "255162"}, {"ref": "neeraj1519/notebook5035d7b11d", "kernel_id": "255150"}, {"ref": "neeraj1519/notebookfa5c70dca1", "kernel_id": "255151"}, {"ref": "neeraj1519/notebooka406629210", "kernel_id": "255414"}, {"ref": "neeraj1519/notebook74e4f1b3fd", "kernel_id": "254591"}, {"ref": "neeraj1519/notebookc9588d3413", "kernel_id": "253754"}, {"ref": "pierretisseur/keras-intel", "kernel_id": "221232"}, {"ref": "rojre1979/intel-mobileodt-script", "kernel_id": "245703"}, {"ref": "nightshade7/notebook1db88bf58f", "kernel_id": "234924"}, {"ref": "iceactor/notebook6845f5ee63", "kernel_id": "249760"}, {"ref": "yusukehiguchi/notebook67b5b470c9", "kernel_id": "242646"}, {"ref": "zhouyusong/notebook3e44042478", "kernel_id": "275823"}, {"ref": "ilanaradinsky/cervix-eda-model-selection-8ab02f", "kernel_id": "275963"}, {"ref": "mwaddoups/notebookdcc8bc4204", "kernel_id": "252022"}, {"ref": "vikibytes/notebookde4e82d854", "kernel_id": "213888"}, {"ref": "frankchen0130/data-exploration", "kernel_id": "211866"}, {"ref": "yusufadeshina/artificial-intelligence-for-cc-screening", "kernel_id": "241813"}, {"ref": "yusufadeshina/artificial-intelligence-for-cc-screening-30c41b", "kernel_id": "241822"}, {"ref": "yusufadeshina/artificial-intelligence-for-cc-screening-14dc59", "kernel_id": "241824"}, {"ref": "kishoreo/3d-detection", "kernel_id": "223473"}, {"ref": "sarmstrongdc/complete-process-using-resnet-as-a-starting-point", "kernel_id": "247310"}, {"ref": "sarmstrongdc/artificial-intelligence-for-cc-screening", "kernel_id": "248028"}, {"ref": "sarmstrongdc/notebooke6c2ddb024", "kernel_id": "255841"}, {"ref": "amlacorp/notebook2d274904ae", "kernel_id": "239384"}, {"ref": "amlacorp/intelmobileodt-data", "kernel_id": "212651"}, {"ref": "niranjanagaram/notebook5f1f545f0e", "kernel_id": "274297"}, {"ref": "samghim/notebook75f4c37039", "kernel_id": "232421"}, {"ref": "shivampanchal/complete-process-using-resnet", "kernel_id": "275727"}, {"ref": "shivampanchal/cervix-segmentation-gmm", "kernel_id": "270353"}, {"ref": "shivampanchal/using-resnet-as-a-starting", "kernel_id": "269967"}, {"ref": "icanfly/roi-cropping-and-specular-reflections-removing", "kernel_id": "284046"}, {"ref": "karora/notebook45aba0855d", "kernel_id": "257038"}, {"ref": "karora/notebooka9438eb115", "kernel_id": "257039"}, {"ref": "syakimov/notebook04e24b77bc", "kernel_id": "274045"}, {"ref": "fabienric/notebookca1dcc01f0", "kernel_id": "211785"}, {"ref": "secondshit/intel-cervical-cancer-eda", "kernel_id": "234354"}, {"ref": "asmith370/notebookce6fd08c22", "kernel_id": "212499"}, {"ref": "hexiao/notebookc0ff95a823", "kernel_id": "220443"}, {"ref": "saeedt2977/keras-intel", "kernel_id": "214248"}, {"ref": "iball41/kaggle-wolfpack-id-v0", "kernel_id": "245706"}, {"ref": "shred45/notebooka6fa3d6f7e", "kernel_id": "213589"}, {"ref": "fattyjake/cervix-image-segmentation-fattyjake-fork", "kernel_id": "272885"}, {"ref": "fattyjake/cervix-eda-model-selection-fattyjake-fork", "kernel_id": "272868"}, {"ref": "fattyjake/cervix-segmentation-gmm-fattyjake-fork", "kernel_id": "272881"}, {"ref": "yis018/notebook5484a16620", "kernel_id": "253484"}, {"ref": "steverobbins47/notebook006cc63db3", "kernel_id": "234708"}, {"ref": "peterhwang2010/notebook7f4669bbd6", "kernel_id": "226703"}, {"ref": "pgodard/notebook1349b2322f", "kernel_id": "216665"}, {"ref": "pgodard/notebookd193730570", "kernel_id": "216667"}, {"ref": "jackyguo77/notebook6025fab1cb", "kernel_id": "212770"}, {"ref": "jackyguo77/notebook6ff491d7ef", "kernel_id": "215402"}, {"ref": "mrstruggler/notebookf5b4c6ff27", "kernel_id": "257780"}, {"ref": "sczhengyabin/notebook2f7f26bd62", "kernel_id": "222475"}, {"ref": "venkatprasad/notebook58ff464ced", "kernel_id": "221885"}, {"ref": "curiousbear/notebook7c8b478dbc", "kernel_id": "230990"}, {"ref": "sanjyotg/cervix-segmentation-gmm", "kernel_id": "533410"}, {"ref": "lockpicker/notebookfecc6e9a52", "kernel_id": "237818"}, {"ref": "chunfuyeh/notebooka91399216e", "kernel_id": "238360"}, {"ref": "krishnagutta/notebookccc85e7f7e", "kernel_id": "238174"}, {"ref": "elmahy/finding-the-cervix-os", "kernel_id": "213560"}, {"ref": "elmahy/trying-the-kernel", "kernel_id": "213478"}, {"ref": "mayankpritman/notebook412d9bac87", "kernel_id": "212010"}, {"ref": "vishwanigupta/notebook7f0db33d43", "kernel_id": "222751"}, {"ref": "mohendra/test1", "kernel_id": "212423"}, {"ref": "rosettast/notebook8709303ff2", "kernel_id": "261722"}, {"ref": "dangquanghieu/artificial-intelligence-for-cc-screening", "kernel_id": "245561"}, {"ref": "pavansubhasht/capstone-cervix", "kernel_id": "220859"}, {"ref": "sarapsg/notebook228c202551", "kernel_id": "255845"}, {"ref": "sarapsg/sample", "kernel_id": "269721"}, {"ref": "sarapsg/notebook97e4aacfa6", "kernel_id": "269747"}, {"ref": "sarapsg/cervical-cancer-image-classification", "kernel_id": "274858"}, {"ref": "toan503/complete-process-using-resnet-as-a-starting-298c37", "kernel_id": "269595"}, {"ref": "neboduus/nothing-to-see", "kernel_id": "219142"}, {"ref": "tilakd/notebook312b1239b7", "kernel_id": "211703"}, {"ref": "thir13enth/20170520-mark", "kernel_id": "263283"}, {"ref": "thir13enth/170513-mark", "kernel_id": "258091"}, {"ref": "thir13enth/team-theta", "kernel_id": "258130"}, {"ref": "thir13enth/notebook8c53e8db6a", "kernel_id": "258137"}, {"ref": "thir13enth/cervix-eda-model-selection", "kernel_id": "255874"}, {"ref": "ashokeapen/notebook231e6d891b", "kernel_id": "265530"}, {"ref": "abhilasha29/notebooka2b85bd077", "kernel_id": "263392"}, {"ref": "abhilasha29/notebook2d64538ac7", "kernel_id": "255884"}, {"ref": "abhilasha29/notebook75bd3164ed", "kernel_id": "255849"}, {"ref": "abhilasha29/notebook91db40e62c", "kernel_id": "255859"}, {"ref": "abhilasha29/notebookcd581d01c2", "kernel_id": "274931"}, {"ref": "abhilasha29/notebook28681043cd", "kernel_id": "274325"}, {"ref": "eapenashok/cancer-code", "kernel_id": "255844"}, {"ref": "eapenashok/notebookbbf9ec9116", "kernel_id": "258155"}, {"ref": "caovannguyen/artificial-intelligence-for-cc-screening-37348f", "kernel_id": "245564"}, {"ref": "caovannguyen/artificial-intelligence-large-image", "kernel_id": "245575"}, {"ref": "caovannguyen/artificial-intelligence-for-cc-screening", "kernel_id": "245288"}, {"ref": "louiechung/notebook4d8ebf4bd9", "kernel_id": "223341"}, {"ref": "louiechung/notebook1783bb2e91", "kernel_id": "223343"}, {"ref": "bortoli/notebook0c6f205922", "kernel_id": "217499"}, {"ref": "patelkevin/cervical-cancer-screening-keras", "kernel_id": "282943"}, {"ref": "mrezafaisal/notebooke71ea3a4c4", "kernel_id": "212946"}, {"ref": "elenaran/fork-of-cervix-segmentation-gmm", "kernel_id": "232101"}, {"ref": "elenaran/cervix-segmentation-gmm", "kernel_id": "232029"}, {"ref": "cweibin/notebookecf7c832c8", "kernel_id": "258777"}, {"ref": "cweibin/kerascnnmodel2", "kernel_id": "258389"}, {"ref": "cweibin/notebookbbfd7795ff", "kernel_id": "258390"}, {"ref": "cweibin/notebook0ead069a03", "kernel_id": "258379"}, {"ref": "cweibin/notebook9cce4acab5", "kernel_id": "258397"}, {"ref": "cweibin/notebookce4f1f8110", "kernel_id": "258585"}, {"ref": "cweibin/notebook1415cf39ab", "kernel_id": "258659"}, {"ref": "cweibin/notebook0888733491", "kernel_id": "264193"}, {"ref": "cweibin/kerascnnmodel23", "kernel_id": "259558"}, {"ref": "cweibin/kerascnnmodel242", "kernel_id": "260297"}, {"ref": "cweibin/kerascnnmodel2234", "kernel_id": "260345"}, {"ref": "sheriytm/keras-intel", "kernel_id": "215389"}, {"ref": "sheriytm/keras-intel-fromsaeed", "kernel_id": "215405"}, {"ref": "sheriytm/keras-intel-forked", "kernel_id": "215392"}, {"ref": "sheriytm/file-features-based-submission", "kernel_id": "215335"}, {"ref": "sheriytm/notebookedc3872de0", "kernel_id": "218777"}, {"ref": "sheriytm/fork-of-file-features-based-submission", "kernel_id": "219494"}, {"ref": "sheriytm/notebook292c7fd9bb", "kernel_id": "233288"}, {"ref": "sheriytm/artificial-intelligence-for-cc-screening", "kernel_id": "236310"}, {"ref": "sheriytm/testing-keras-script", "kernel_id": "237048"}, {"ref": "penedon/notebook794d5daa4a", "kernel_id": "212231"}, {"ref": "penedon/notebook617cc32604", "kernel_id": "211897"}, {"ref": "cpbotha/really-nothing", "kernel_id": "212184"}, {"ref": "v4anand18/notebookd4c8afdcb0", "kernel_id": "255848"}, {"ref": "v4anand18/notebook2e2193ff1f", "kernel_id": "255866"}, {"ref": "v4anand18/notebookade82950e1", "kernel_id": "255877"}, {"ref": "duongtannghia1988/cervix-eda-resized-to-2322x2322-nghiaduong1988", "kernel_id": "232036"}, {"ref": "shlokgilda/notebook8b74997cba", "kernel_id": "211737"}, {"ref": "baleal/cervicses", "kernel_id": "218977"}, {"ref": "harold0217/complete-process-using-resnet-as-a-starting-point", "kernel_id": "355119"}, {"ref": "dorshman/notebook29d22dc0e4", "kernel_id": "219215"}, {"ref": "maylls/notebookfdfceb8d72", "kernel_id": "249834"}, {"ref": "gcsekar/test-1", "kernel_id": "211796"}, {"ref": "gurudewan/testg", "kernel_id": "249603"}, {"ref": "brambram/notebook0c9ec15b51", "kernel_id": "216800"}, {"ref": "vuongdanghuy/notebook578eb45569", "kernel_id": "232304"}, {"ref": "zahaviguy/notebookad34e27e69", "kernel_id": "238004"}, {"ref": "zahaviguy/identifying-the-cervix-region-of-interest", "kernel_id": "237576"}, {"ref": "zahaviguy/cervix-image-segmentation", "kernel_id": "252461"}, {"ref": "vinsonmac93/notebook035fe2be48", "kernel_id": "254196"}, {"ref": "vinsonmac93/notebook63225049a0", "kernel_id": "254149"}, {"ref": "qinnawang/notebook31d970dfd9", "kernel_id": "274399"}, {"ref": "syedsubhahan786/notebook3e15e3e2bf", "kernel_id": "214854"}, {"ref": "shouvikdos/notebookedee3c9d26", "kernel_id": "252533"}, {"ref": "haritha1313/cervical-cancer", "kernel_id": "257458"}, {"ref": "haritha1313/kerascc", "kernel_id": "259053"}, {"ref": "xiaoyaonanjiea/notebookc352ee2d32", "kernel_id": "253552"}, {"ref": "rajarazack/notebook04d976b80b", "kernel_id": "251277"}, {"ref": "kagglefede/cervical-cancer-screening-test-1", "kernel_id": "211755"}, {"ref": "kvnlng/cervical-screening", "kernel_id": "212379"}, {"ref": "kvnlng/ccscreen", "kernel_id": "233439"}, {"ref": "heckmanc13/test123", "kernel_id": "214419"}, {"ref": "akumar6/complete-process-using-resnet-as-a-starting-point", "kernel_id": "230344"}, {"ref": "jeffreynlaw/notebook3953d57f93", "kernel_id": "216055"}, {"ref": "sswang0701/notebook42dc4524ee", "kernel_id": "248762"}, {"ref": "nikitabu/test-num-001", "kernel_id": "274746"}, {"ref": "notewee/notebookfc5ad7a8ef", "kernel_id": "238890"}, {"ref": "amizya/notebook08cd0da98d", "kernel_id": "211767"}, {"ref": "jeffpogo/notebook819f0a17a2", "kernel_id": "222034"}, {"ref": "yejinkim17/notebook68a29ad25c", "kernel_id": "227869"}, {"ref": "chiszpanski/non-cervix-images", "kernel_id": "218935"}, {"ref": "ezhebel/experiment-with-luminance", "kernel_id": "221336"}, {"ref": "ezhebel/trial", "kernel_id": "220880"}, {"ref": "srini1304/notebook39449365c2", "kernel_id": "235510"}, {"ref": "bheupers/data-exploration", "kernel_id": "274211"}, {"ref": "researchace/notebooke8479c0829", "kernel_id": "217998"}, {"ref": "researchace/researchace", "kernel_id": "218002"}, {"ref": "nemorun/etl-read-in-images", "kernel_id": "223917"}, {"ref": "nemorun/preprocess-images-crop-images", "kernel_id": "247083"}, {"ref": "nemorun/preprocess-images-crop-into-effective-areas-only", "kernel_id": "247076"}, {"ref": "nemorun/notebook94c5f908f4", "kernel_id": "264334"}, {"ref": "nemorun/notebooka9cc6a9a63", "kernel_id": "254098"}, {"ref": "mounika45/notebookf96eeed902", "kernel_id": "277327"}, {"ref": "petewills/notebook93bff540fd", "kernel_id": "219555"}, {"ref": "wubalubadubdub/cervix-segmentation-gmm", "kernel_id": "235832"}, {"ref": "taokong/notebook402c6c4c6a", "kernel_id": "253559"}, {"ref": "asdhammu/testt", "kernel_id": "247149"}, {"ref": "kaguser/notebookefc8b2868e", "kernel_id": "239528"}, {"ref": "kaguser/notebookba95df1206", "kernel_id": "233906"}, {"ref": "kaguser/notebook2360082a94", "kernel_id": "235137"}, {"ref": "jainanisha90/notebook3e97ad8edc", "kernel_id": "222436"}, {"ref": "jainanisha90/notebooke818898f8d", "kernel_id": "222438"}, {"ref": "kitushan/notebook728f6c7b3b", "kernel_id": "222401"}, {"ref": "sdsdsd/notebook1601680c0f", "kernel_id": "223477"}, {"ref": "kito96/notebookce817c7312", "kernel_id": "253117"}, {"ref": "kito96/notebook2c5afa3a58", "kernel_id": "259129"}, {"ref": "kito96/notebook4d38065a82", "kernel_id": "259130"}, {"ref": "abdelrhmanghreeb/notebook5c183802b0", "kernel_id": "259124"}, {"ref": "xujinhua/notebook7b5459ede6", "kernel_id": "231882"}, {"ref": "xujinhua/copy-to-learn", "kernel_id": "232639"}, {"ref": "xujinhua/notebook462f7de77c", "kernel_id": "231146"}, {"ref": "xujinhua/notebook733504eaa8", "kernel_id": "231147"}, {"ref": "xujinhua/notebook8b326fec94", "kernel_id": "231141"}, {"ref": "xujinhua/gofly", "kernel_id": "233449"}, {"ref": "xujinhua/trynew", "kernel_id": "233444"}, {"ref": "nikko4913/cerviax", "kernel_id": "225644"}, {"ref": "mmaguero/cervix-eda-model-selection", "kernel_id": "286977"}, {"ref": "krekhov/notebooka63f884a16", "kernel_id": "228134"}, {"ref": "kylehounslow/a-method-for-finding-leaked-images-in-test-set", "kernel_id": "286372"}, {"ref": "grafs50/notebookca8a72e007", "kernel_id": "229874"}, {"ref": "lucasfaguiar/notebook664d07b1ca", "kernel_id": "228519"}, {"ref": "saivalluri/sample", "kernel_id": "248972"}, {"ref": "saivalluri/notebookfb4bab8b21", "kernel_id": "248913"}, {"ref": "saivalluri/notebook858fa3a5ca", "kernel_id": "248978"}, {"ref": "saivalluri/notebook34d89cafec", "kernel_id": "246530"}, {"ref": "saivalluri/notebooka3ca5436b6", "kernel_id": "246527"}, {"ref": "waseem321/notebookeb6f223090", "kernel_id": "230270"}, {"ref": "gabmcdermott/notebook9cd3a35732", "kernel_id": "252706"}, {"ref": "dcotter/data-exploration", "kernel_id": "254829"}, {"ref": "dcotter/notebook936450f98f", "kernel_id": "245884"}, {"ref": "timothyhses/cervix-segmentation-gmm", "kernel_id": "247440"}, {"ref": "timothyhses/cervix-segmentation-gmm-d867f1", "kernel_id": "255652"}, {"ref": "infiniteprobability/notebook9594d761e5", "kernel_id": "232508"}, {"ref": "deepgeeks/test1", "kernel_id": "251203"}, {"ref": "v1vekkumar/kernel-updated-using-resnet", "kernel_id": "239241"}, {"ref": "benmarafino/data-exploration", "kernel_id": "275700"}, {"ref": "vidhyaganesh/notebook246959b0cd", "kernel_id": "246461"}, {"ref": "nbelden/notebook57ade5e866", "kernel_id": "246526"}, {"ref": "nbelden/notebook23020ae31b", "kernel_id": "245652"}, {"ref": "nbelden/notebookb75ba2be7b", "kernel_id": "245993"}, {"ref": "nguttm/secondtry", "kernel_id": "240078"}, {"ref": "nguttm/first-try", "kernel_id": "240081"}, {"ref": "sophiabiodesign/view-pics", "kernel_id": "248749"}, {"ref": "sophiabiodesign/cervix-segmentation-gmm", "kernel_id": "248689"}, {"ref": "yjhust/notebookeae755c231", "kernel_id": "237769"}, {"ref": "soonenuff/notebook5397d7a558", "kernel_id": "245284"}, {"ref": "stankondrat/artificial-intelligence-for-cc-screening", "kernel_id": "258853"}, {"ref": "eee019/region-of-interest-roi-detection", "kernel_id": "273422"}, {"ref": "khurram123/notebookd7fbd2de15", "kernel_id": "243687"}, {"ref": "muyouhang/some-tricks", "kernel_id": "244049"}, {"ref": "pappapetes/notebookad6c7562a8", "kernel_id": "240325"}, {"ref": "twlivingston/notebookb326c112bf", "kernel_id": "245967"}, {"ref": "twlivingston/imagetest", "kernel_id": "247267"}, {"ref": "jrread442/notebook23c7a9dfbc", "kernel_id": "246451"}, {"ref": "jrread442/channel-4-train-test", "kernel_id": "246529"}, {"ref": "jrread442/ch-4-news-team", "kernel_id": "247266"}, {"ref": "jrread442/notebookba02f63762", "kernel_id": "249182"}, {"ref": "warriorera/notebook29966d6ac7", "kernel_id": "242281"}, {"ref": "zengweixiu/cervix-segmentation-gmm-3a4a53", "kernel_id": "242852"}, {"ref": "lrobinson/notebook59522708cf", "kernel_id": "245480"}, {"ref": "akira1508/notebook2b8a7468c4", "kernel_id": "247103"}, {"ref": "nelfiky/notebook4d9440331f", "kernel_id": "251725"}, {"ref": "nelfiky/notebook0051727a46", "kernel_id": "251739"}, {"ref": "jaisinghw/notebook5ff0dc54e6", "kernel_id": "252139"}, {"ref": "yizibai/notebook201139ce6d", "kernel_id": "275066"}, {"ref": "yizibai/notebook0fa7fff28f", "kernel_id": "275068"}, {"ref": "avanttechno/cervix-eda-model-selection", "kernel_id": "255226"}, {"ref": "ramyamasilamani/notebook557f5ce4a1", "kernel_id": "257347"}, {"ref": "delingli/notebookf448d9d823", "kernel_id": "253482"}, {"ref": "laurentddw/notebookfc6fed5e89", "kernel_id": "254405"}, {"ref": "jpayette/data-exploration", "kernel_id": "259185"}, {"ref": "sienkie/pretty-simple-starter-kernel-fe1ba1", "kernel_id": "256971"}, {"ref": "fickleone/notebooka680a1195d", "kernel_id": "265207"}, {"ref": "fickleone/notebook6a69bff75f", "kernel_id": "265200"}, {"ref": "alitny/notebook5c8b5fe727", "kernel_id": "263111"}, {"ref": "tsetset/artificial-intelligence-for-cc-screening", "kernel_id": "277759"}, {"ref": "amavuduru/notebook6db936d19e", "kernel_id": "277774"}, {"ref": "ganeshvanama/cervical-cancer-screening", "kernel_id": "420273"}, {"ref": "strongliu/cervix-eda-model-selection-f5ba66", "kernel_id": "682399"}, {"ref": "shubchat/intel-and-mobile-odt-cervical-cancer-screening", "kernel_id": "1420170"}, {"ref": "vghorakavi/kernel457461370e", "kernel_id": "2778419"}, {"ref": "mamtaarora/kernel2fe902dacf", "kernel_id": "3778251"}, {"ref": "ashery/cervical-cancer-screening-transfer-learning", "kernel_id": "4386951"}, {"ref": "natthakitou/cervical-cancer-mwit", "kernel_id": "6824177"}, {"ref": "natthakitou/cervix-image-segmentation", "kernel_id": "6971452"}, {"ref": "harelazim/intel-cancer", "kernel_id": "9533787"}, {"ref": "habibmrad1983/cervix-eda-model-selection", "kernel_id": "15747744"}, {"ref": "hashem641998/cervical-cancer-screening-transfer-learning", "kernel_id": "18537243"}, {"ref": "humbertocueva/cervixpytorch", "kernel_id": "20356372"}, {"ref": "chiebukar/cervical-cancer-screening-full-data", "kernel_id": "20190383"}, {"ref": "alex3991/cervical-cancer", "kernel_id": "21464443"}, {"ref": "obulisainaren/plot-a-confusion-matrix", "kernel_id": "22028247"}, {"ref": "aishwaryanandakumar/cervical-cancer-detection-through-dl-models", "kernel_id": "25427270"}, {"ref": "jordandahan/cancer-classification", "kernel_id": "26719935"}, {"ref": "mlalasa2170277/gaussian-mixture-model-gmm-cropping", "kernel_id": "27910029"}, {"ref": "kingjuno/acm-research-phase-1", "kernel_id": "28472502"}, {"ref": "amparorodriguez/clasificador-de-cervix-en-funcion-de-rot", "kernel_id": "32540034"}, {"ref": "nashaatrjouda/cervix-pilot", "kernel_id": "33567733"}, {"ref": "vladislavseiilaa/cervical-cancer-screening-baseline", "kernel_id": "34286795"}, {"ref": "nashaatrjouda/roi-gmm", "kernel_id": "34744392"}, {"ref": "akashvadnala/cnn-handson-session", "kernel_id": "36028186"}, {"ref": "usairimisani/cervical-cancer-project", "kernel_id": "37356152"}, {"ref": "iabhitech/plot-a-confusion-matrix", "kernel_id": "37104333"}, {"ref": "samriddhikarki/cerviscan", "kernel_id": "56876279"}, {"ref": "stephannathanael/cervical-classification-mgaya", "kernel_id": "57912946"}, {"ref": "samriddhikarki/posthackathon", "kernel_id": "57506757"}, {"ref": "samriddhiiiii/posthackathon", "kernel_id": "57761780"}, {"ref": "milky313/cervical-cancer-detection-through-dl-models", "kernel_id": "60577119"}, {"ref": "hekikarthik/cervical-cancer-screening-full-data", "kernel_id": "67931232"}, {"ref": "zyh1104/044-intel-mobileodt-cervical-cancer-screening", "kernel_id": "71874025"}, {"ref": "hekikarthik/breast-cancer-detection-roi-crop", "kernel_id": "72399689"}, {"ref": "deewhy1/cervical-cancer-image-classification", "kernel_id": "84338759"}, {"ref": "mrudulabangale/transformation-zone", "kernel_id": "122291759"}]}
{"competition_id": "6244", "kernels": []}
{"competition_id": "6252", "kernels": []}
{"competition_id": "6270", "kernels": []}
{"competition_id": "6274", "kernels": []}
{"competition_id": "6276", "kernels": []}
{"competition_id": "6277", "kernels": [{"ref": "antgoldbloom/notebook9229a75b1f", "kernel_id": "236810"}, {"ref": "alexxanderlarko/data-analysis-xgboost-starter", "kernel_id": "213725"}, {"ref": "alexxanderlarko/fork-of-data-analysis-xgboost-starter", "kernel_id": "213738"}, {"ref": "alexxanderlarko/quora-test-1111", "kernel_id": "214636"}, {"ref": "alexxanderlarko/quora-test-13", "kernel_id": "214643"}, {"ref": "benhamner/playground-27", "kernel_id": "219093"}, {"ref": "benhamner/playground2", "kernel_id": "219158"}, {"ref": "benhamner/notebooka05bf500b5", "kernel_id": "219228"}, {"ref": "benhamner/mlconf", "kernel_id": "219229"}, {"ref": "benhamner/notebook127c77c9b0", "kernel_id": "218767"}, {"ref": "benhamner/notebook2ee1acb8f2", "kernel_id": "225598"}, {"ref": "benhamner/demo-asdf-5", "kernel_id": "224189"}, {"ref": "benhamner/demo-asdfdsfdfdfd", "kernel_id": "231929"}, {"ref": "benhamner/notebook42d316933f", "kernel_id": "240682"}, {"ref": "benhamner/notebook13562d0fe3", "kernel_id": "242349"}, {"ref": "benhamner/notebookcbdef39719", "kernel_id": "251218"}, {"ref": "benhamner/quora-demo-asdf", "kernel_id": "251904"}, {"ref": "benhamner/notebookdd93d3ce38", "kernel_id": "251926"}, {"ref": "benhamner/notebook5dda3c6db5", "kernel_id": "251952"}, {"ref": "benhamner/notebook2d3c076f13", "kernel_id": "251945"}, {"ref": "benhamner/xgb-starter-12357", "kernel_id": "272547"}, {"ref": "benhamner/notebook2c5dd28a53", "kernel_id": "272597"}, {"ref": "benhamner/notebook1c6e6ba743", "kernel_id": "265895"}, {"ref": "benhamner/notebookc46f6f1373", "kernel_id": "265187"}, {"ref": "benhamner/notebook1627cea89d", "kernel_id": "259970"}, {"ref": "benhamner/notebook0db793addf", "kernel_id": "260802"}, {"ref": "benhamner/notebook879a7921df", "kernel_id": "261529"}, {"ref": "benhamner/notebook62df4d514d", "kernel_id": "261550"}, {"ref": "benhamner/notebook80af94b10d", "kernel_id": "257925"}, {"ref": "benhamner/quora-demo-asdfasefd", "kernel_id": "256319"}, {"ref": "ploppi/notebook-test", "kernel_id": "214951"}, {"ref": "ploppi/notebooke734e2e0f5", "kernel_id": "214965"}, {"ref": "domcastro/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "219502"}, {"ref": "vitolee/quora-question-pairs-test", "kernel_id": "231856"}, {"ref": "rajapasupuleti/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "240937"}, {"ref": "moritzg/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "228504"}, {"ref": "nesterov/notebook57b2c05785", "kernel_id": "246222"}, {"ref": "sureshshanmugam/explore-dataset", "kernel_id": "216730"}, {"ref": "imnishantg/basiceda-ng", "kernel_id": "212873"}, {"ref": "krtkmswamy/matching-questions-train-and-validation", "kernel_id": "220204"}, {"ref": "jprocha/eda-1-testing-using-anokas-example", "kernel_id": "255589"}, {"ref": "jprocha/quora-descriptive-analysis", "kernel_id": "252030"}, {"ref": "beingzy/notebook2c1cb97481", "kernel_id": "214514"}, {"ref": "cyrilv/notebook5f4e67584a", "kernel_id": "222952"}, {"ref": "cyrilv/notebook0a3c192128", "kernel_id": "222976"}, {"ref": "cyrilv/notebooke2643f2b29", "kernel_id": "222978"}, {"ref": "asymptote/notebookb97ac670f7", "kernel_id": "254424"}, {"ref": "prashantu/notebook8c40656c45", "kernel_id": "213422"}, {"ref": "jguerreiro/notebook0ec92284bc", "kernel_id": "260590"}, {"ref": "jguerreiro/notebook2c8cb1587d", "kernel_id": "260620"}, {"ref": "jofaichow/h2o-word2vec-starter", "kernel_id": "240235"}, {"ref": "datacanary/words-in-common-benchmark", "kernel_id": "203964"}, {"ref": "jeannief/data-analysis-xgboost-starter-0-35460-lb-1a1e76", "kernel_id": "216685"}, {"ref": "tamar1/notebook8842b67dd7", "kernel_id": "224522"}, {"ref": "lmdm99/question-similarity-using-lstm-embedding", "kernel_id": "231777"}, {"ref": "payamesfandiari/notebook260aeff9f1", "kernel_id": "225615"}, {"ref": "payamesfandiari/notebook15b9d95e62", "kernel_id": "220695"}, {"ref": "chrisslz/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "234529"}, {"ref": "smartbao/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "230710"}, {"ref": "manueldiaz/simple-linear-model-with-tfidf", "kernel_id": "218539"}, {"ref": "hmnshu/quora-data-exploration", "kernel_id": "219594"}, {"ref": "hmnshu/notebook9fd0f82e39", "kernel_id": "222796"}, {"ref": "gpboss/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "220992"}, {"ref": "gpboss/magic-features-0-03-gain", "kernel_id": "251555"}, {"ref": "anirudh5789/notebookce712b359e", "kernel_id": "253617"}, {"ref": "vempatisreekanth/quora-duplicate-question-identification", "kernel_id": "227293"}, {"ref": "heraldxchaos/notebook542a4c5edf", "kernel_id": "219802"}, {"ref": "heraldxchaos/adventures-in-scikitlearn-and-nltk", "kernel_id": "219804"}, {"ref": "heraldxchaos/adventures-in-nltk", "kernel_id": "219222"}, {"ref": "heraldxchaos/notebookc81ec712a5", "kernel_id": "219426"}, {"ref": "heraldxchaos/notebookf73afd4562", "kernel_id": "220635"}, {"ref": "heraldxchaos/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "220007"}, {"ref": "heraldxchaos/quora-data-exploration", "kernel_id": "218656"}, {"ref": "heraldxchaos/notebookced9b73dbb", "kernel_id": "217844"}, {"ref": "heraldxchaos/notebook04a6d6acc6", "kernel_id": "217845"}, {"ref": "zhangyang/benchmark-features-creation-in-sklearn", "kernel_id": "217080"}, {"ref": "wush978/notebookefff4e9364", "kernel_id": "222003"}, {"ref": "laknath/notebooke72cd52584", "kernel_id": "235727"}, {"ref": "rajeshmanikka/notebook703a148078", "kernel_id": "389210"}, {"ref": "wadse11/quora-v00", "kernel_id": "226040"}, {"ref": "wadse11/notebookdd90a1f5eb", "kernel_id": "226248"}, {"ref": "bradleymitchell/fork-of-real-data-scientists-don-t-need-training-d", "kernel_id": "226101"}, {"ref": "stepout/notebook7b562e4cb9", "kernel_id": "223718"}, {"ref": "russellwmy/notebookcc88091ada", "kernel_id": "243896"}, {"ref": "russellwmy/notebookc1ac66407d", "kernel_id": "232358"}, {"ref": "russellwmy/notebookc8bd810a6c", "kernel_id": "232359"}, {"ref": "alexasp/simple-exploration-notebook-quora-ques-pair", "kernel_id": "243013"}, {"ref": "titericz/word-match-1", "kernel_id": "212874"}, {"ref": "napsternxg/notebookda807787f1", "kernel_id": "224933"}, {"ref": "guptanitz/notebook3252d9f4f1", "kernel_id": "214150"}, {"ref": "guptanitz/notebook467c5e4392", "kernel_id": "226436"}, {"ref": "drpatrickchan/question-similarity-using-lstm-embedding", "kernel_id": "244830"}, {"ref": "phcostello/notebook12174dffab", "kernel_id": "242712"}, {"ref": "jobillouis007/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "221549"}, {"ref": "jobillouis007/matching-que-for-quora-end-to-end-0-337-11426a", "kernel_id": "221550"}, {"ref": "halidziya/meta-feature-extractor", "kernel_id": "254089"}, {"ref": "halidziya/featurize-shallow-benchmark-0-31675-lb", "kernel_id": "268989"}, {"ref": "halidziya/benchmark", "kernel_id": "229251"}, {"ref": "standa/notebook9cf8a20ede", "kernel_id": "213845"}, {"ref": "himanshusinha/simple-exploration-notebook-quora-ques-pair", "kernel_id": "233932"}, {"ref": "tusharvaidya/notebookbbc0821af0", "kernel_id": "224654"}, {"ref": "ranlocar/xgb-with-whq-jaccard", "kernel_id": "240123"}, {"ref": "ranlocar/xgb-with-whq-2gram", "kernel_id": "240099"}, {"ref": "ranlocar/xgb-with-whq", "kernel_id": "235744"}, {"ref": "ranlocar/word-match-1", "kernel_id": "213828"}, {"ref": "sudalairajkumar/keras-starter-script-with-word-embeddings", "kernel_id": "213657"}, {"ref": "sudalairajkumar/simple-leaky-exploration-notebook-quora", "kernel_id": "212844"}, {"ref": "danyalkhaliq/lsa-correlation-rf", "kernel_id": "226520"}, {"ref": "zhihang/importance-of-a-linguistic-pre-processing", "kernel_id": "266216"}, {"ref": "zhihang/an-ensemble-approach-cnn-and-timedistributed", "kernel_id": "232777"}, {"ref": "cpmpml/more-temporal-pattern-in-train-response-rates", "kernel_id": "245598"}, {"ref": "cpmpml/spell-checker-using-word2vec", "kernel_id": "253524"}, {"ref": "phillipadkins/words-in-common-benchmark", "kernel_id": "237523"}, {"ref": "hotfuss/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "217194"}, {"ref": "hotfuss/matching-que-for-quora-end-to-end-0-337-4e660c", "kernel_id": "217200"}, {"ref": "hotfuss/matching-que-for-quora-end-to-end-0-337-368249", "kernel_id": "217204"}, {"ref": "gnilly/magic-features-proper-code", "kernel_id": "266291"}, {"ref": "dkdupuis/notebook8920c9b162", "kernel_id": "238318"}, {"ref": "dkdupuis/notebooka567494e12", "kernel_id": "237606"}, {"ref": "satyaprakash1986/notebookbf051434e1", "kernel_id": "212797"}, {"ref": "nkhuyu/test-system-information", "kernel_id": "246647"}, {"ref": "debo12/quora-eda-model-selection-roc-pr-plots", "kernel_id": "226355"}, {"ref": "woters/quora-eda-model-selection-roc-pr-plots", "kernel_id": "228602"}, {"ref": "woters/exploratory-data-analysis", "kernel_id": "213054"}, {"ref": "woters/xgb-starter-12357", "kernel_id": "217209"}, {"ref": "zhuangh/notebook29e8f97bd5", "kernel_id": "230617"}, {"ref": "zhuangh/notebook1352910e64", "kernel_id": "230618"}, {"ref": "zhuangh/embedding-qpairs", "kernel_id": "230534"}, {"ref": "anuragreddygv323/notebook43fe2477c8", "kernel_id": "248963"}, {"ref": "uday1889/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "216557"}, {"ref": "mf34richard/simple-exploration-notebook-quora-ques-pair", "kernel_id": "216501"}, {"ref": "davidthaler/how-many-1-s-are-in-the-public-lb", "kernel_id": "213033"}, {"ref": "davidthaler/pandas-model-no-ml-lb-0-356", "kernel_id": "233526"}, {"ref": "davidthaler/duplicates-of-duplicates", "kernel_id": "234968"}, {"ref": "marvin42/notebookfc2cfca2d5", "kernel_id": "232930"}, {"ref": "acamara/notebook10492264d9", "kernel_id": "233082"}, {"ref": "rjsbhatia/notebook6362365fa0", "kernel_id": "221235"}, {"ref": "tommontroy/xgb-starter-12357", "kernel_id": "225426"}, {"ref": "tommontroy/xgb-starter-12357-fex", "kernel_id": "225474"}, {"ref": "akilaw/light-gbm", "kernel_id": "278159"}, {"ref": "akilaw/data-analysis-xgboost-starter", "kernel_id": "213635"}, {"ref": "akilaw/xgb-starter-12357", "kernel_id": "218938"}, {"ref": "cttobin/notebook11cce0afd8", "kernel_id": "215767"}, {"ref": "lorenzoarossi/fuzzy-features", "kernel_id": "276330"}, {"ref": "jianyingli/for-quaro-competition", "kernel_id": "213509"}, {"ref": "philschmidt/quora-eda-model-selection-roc-pr-plots", "kernel_id": "213323"}, {"ref": "simpetre/notebook15dfc32d71", "kernel_id": "261446"}, {"ref": "simpetre/notebookee34e5abfc", "kernel_id": "257140"}, {"ref": "chiragarora001/notebook9609a1abdc", "kernel_id": "213503"}, {"ref": "datenkieker/xgb-starter-12357", "kernel_id": "224647"}, {"ref": "brig06/notebookbfd3db7aa6", "kernel_id": "263679"}, {"ref": "kazanova/magic-feature-v2-krzy-new-idea", "kernel_id": "269885"}, {"ref": "dimitrislev/different-location-questions", "kernel_id": "263501"}, {"ref": "triskelion/an-unusual-informative-feature", "kernel_id": "218832"}, {"ref": "triskelion/moving-average-on-the-target", "kernel_id": "218847"}, {"ref": "amitmac/notebookb82ce42015", "kernel_id": "216539"}, {"ref": "teja88/test-quora", "kernel_id": "265915"}, {"ref": "rahulm7/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "236676"}, {"ref": "toxinto/notebook61838671d8", "kernel_id": "230928"}, {"ref": "yupbank/notebook37812f36dc", "kernel_id": "217060"}, {"ref": "noracode/notebookcc896e5fc3", "kernel_id": "253478"}, {"ref": "treybrooks/notebookfa70a0ef26", "kernel_id": "214256"}, {"ref": "treybrooks/notebook34a8bf4aa4", "kernel_id": "214257"}, {"ref": "igpogo/notebookfbe2491a30", "kernel_id": "213342"}, {"ref": "sannikowaa/artyom-sannikow-techosphere", "kernel_id": "256257"}, {"ref": "sannikowaa/notebook9ab91f3b07", "kernel_id": "256258"}, {"ref": "ebsubudhi/first-code-1", "kernel_id": "227110"}, {"ref": "selfishgene/shallow-benchmark-0-31675-lb", "kernel_id": "246166"}, {"ref": "anujmehra/h2o-vector-code-improved", "kernel_id": "254280"}, {"ref": "sakares/lb-0-158-xgb-handcrafted-leaky", "kernel_id": "299545"}, {"ref": "santoshkosgi/notebookcdb9f97813", "kernel_id": "256867"}, {"ref": "tarekmamdouh/notebook8b10871ac8", "kernel_id": "221236"}, {"ref": "puneetdwivedi/my-code", "kernel_id": "237587"}, {"ref": "jjeeffoo/notebook75f0b34344", "kernel_id": "223818"}, {"ref": "karthick7/sample1", "kernel_id": "236362"}, {"ref": "nlothian/different-location-questions", "kernel_id": "262836"}, {"ref": "josericardo/notebook8276e4dd9c", "kernel_id": "228349"}, {"ref": "skthedataguy/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "277990"}, {"ref": "soundwaveli00/xgb-starter-12357", "kernel_id": "220756"}, {"ref": "jwegas/an-interesting-solution-90-accuracy", "kernel_id": "229667"}, {"ref": "jwegas/my-eda-20172303", "kernel_id": "218187"}, {"ref": "jwegas/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "213656"}, {"ref": "rdoume/magic-feature-v2-krzy-new-idea", "kernel_id": "270748"}, {"ref": "rdoume/notebook7d635d64c9", "kernel_id": "269718"}, {"ref": "rdoume/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "268344"}, {"ref": "yifanxie/notebook376dd202fa", "kernel_id": "229507"}, {"ref": "antriksh5235/quora-dataset", "kernel_id": "214582"}, {"ref": "antriksh5235/doc2vec-starter", "kernel_id": "237896"}, {"ref": "antriksh5235/cosine-similarity-using-tfidf-weighting", "kernel_id": "234432"}, {"ref": "antriksh5235/semantic-similarity-using-wordnet", "kernel_id": "235289"}, {"ref": "outliar/fork-of-different-location-questions-723a56", "kernel_id": "264773"}, {"ref": "brandenkmurray/h2o-word2vec-starter", "kernel_id": "232741"}, {"ref": "brandenkmurray/h2o-latest-test", "kernel_id": "238545"}, {"ref": "madhaowagh/notebook0e49c598fb", "kernel_id": "220417"}, {"ref": "westmich/notebook51a9f83987", "kernel_id": "243301"}, {"ref": "jross225/notebook7afb14aa6f", "kernel_id": "214170"}, {"ref": "maggiezhou/notebook49b20d57d9", "kernel_id": "215433"}, {"ref": "maggiezhou/notebook71e9204f9c", "kernel_id": "247277"}, {"ref": "maggiezhou/notebookf78f70e384", "kernel_id": "247279"}, {"ref": "maggiezhou/notebookf20650fa52", "kernel_id": "247291"}, {"ref": "maggiezhou/notebook04037ed153", "kernel_id": "236108"}, {"ref": "maggiezhou/notebook04d3ed4d47", "kernel_id": "237168"}, {"ref": "maggiezhou/test-20170413-1", "kernel_id": "233498"}, {"ref": "djd0902/quora-duplicate-questions", "kernel_id": "234353"}, {"ref": "bigdatafan/data-analysis-xgboost-starter", "kernel_id": "271502"}, {"ref": "dulyanov/lb-0-158-xgb-handcrafted-leaky", "kernel_id": "269598"}, {"ref": "breuker/notebookc23aefe3ab", "kernel_id": "213313"}, {"ref": "jobrown/test1", "kernel_id": "267439"}, {"ref": "jobrown/quora-script-2", "kernel_id": "267457"}, {"ref": "jobrown/notebook8a43fb4d14", "kernel_id": "266162"}, {"ref": "jobrown/test-keras", "kernel_id": "260630"}, {"ref": "jobrown/notebook-convnet", "kernel_id": "260637"}, {"ref": "luckylwk/data-exploration", "kernel_id": "228105"}, {"ref": "puneetsl/unusual-meaning-map", "kernel_id": "220792"}, {"ref": "nasuka/notebookd702b17149", "kernel_id": "227207"}, {"ref": "nasuka/notebookd2a9ca35c5", "kernel_id": "237237"}, {"ref": "karthiv/notebook4b8ff17d2e", "kernel_id": "271878"}, {"ref": "tanmaykulshrestha/first-try", "kernel_id": "216634"}, {"ref": "keithwebber/notebooke262aa3269", "kernel_id": "221582"}, {"ref": "vonolaf/notebookc8b6fc9b9d", "kernel_id": "217982"}, {"ref": "hemalthakkar/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "220163"}, {"ref": "calhounqf/notebook717175ff65", "kernel_id": "248679"}, {"ref": "mkearney/parsing-user-functions-and-gradient-boosted-glm", "kernel_id": "228276"}, {"ref": "anoophallur/notebook52b0602b53", "kernel_id": "213563"}, {"ref": "anoophallur/exploration", "kernel_id": "213564"}, {"ref": "mamarock/train-1", "kernel_id": "249595"}, {"ref": "pappukrjha/more-than-100-features-0-42-lb", "kernel_id": "265869"}, {"ref": "yukatherin/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "220749"}, {"ref": "bkamel/notebookf416191d62", "kernel_id": "213351"}, {"ref": "functioncall/notebook47a8cb520b", "kernel_id": "215826"}, {"ref": "bhatprarthana/cosine-similarity", "kernel_id": "232900"}, {"ref": "jeffhebert/quora-question-pairs-xgboost-starter-in-r", "kernel_id": "251223"}, {"ref": "pavelbarykin/analyse", "kernel_id": "231001"}, {"ref": "evertonsilva/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "220014"}, {"ref": "palashgoyal1/notebook20672b4993", "kernel_id": "248051"}, {"ref": "javpaw/exploratory-data-analysis-quora-questions-pairs", "kernel_id": "706587"}, {"ref": "javpaw/quora-question-pairs-benchmark", "kernel_id": "704655"}, {"ref": "pinocchio/naive", "kernel_id": "246175"}, {"ref": "yiming/notebookc4168a257b", "kernel_id": "224357"}, {"ref": "yiming/test-123-py", "kernel_id": "224444"}, {"ref": "luoql1986/data-analysis-xgboost-starter-0-35460-lb-aeeae2", "kernel_id": "216217"}, {"ref": "republic966/trail32", "kernel_id": "264251"}, {"ref": "floatlizi/notebook276673630d", "kernel_id": "215324"}, {"ref": "floatlizi/notebookc9e9a4487d", "kernel_id": "215223"}, {"ref": "gautam1858/notebookfbf5b72697", "kernel_id": "236409"}, {"ref": "vacant/extensible-end-to-end-solution-with-a-dnn", "kernel_id": "277888"}, {"ref": "aichemzee/notebook4c2ef2687e", "kernel_id": "240445"}, {"ref": "aichemzee/notebook068f160d5c", "kernel_id": "240447"}, {"ref": "amritshukla/notebookd85204513c", "kernel_id": "221113"}, {"ref": "kaalipython/notebook5d08eae66a", "kernel_id": "213460"}, {"ref": "dizcology/notebook8e891d7caf", "kernel_id": "216829"}, {"ref": "dizcology/notebook1f16cd1d8a", "kernel_id": "226266"}, {"ref": "sandeepb2013/notebookdf7e242bb4", "kernel_id": "233629"}, {"ref": "nmulani/notebookb9b879caee", "kernel_id": "222351"}, {"ref": "samrotashoka/xgb-with-whq-jaccard1", "kernel_id": "272419"}, {"ref": "samrotashoka/light-gbm-with-whquest", "kernel_id": "275450"}, {"ref": "archyk/xgb-starter-12357", "kernel_id": "216738"}, {"ref": "alexxiao/notebook529469a1d2", "kernel_id": "214167"}, {"ref": "alexxiao/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "267249"}, {"ref": "alexxiao/notebooka6d68582fe", "kernel_id": "234311"}, {"ref": "bergsfam/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "228750"}, {"ref": "onidzelskyi/notebookbcbe95ae54", "kernel_id": "215457"}, {"ref": "abhisheknagarjuna/notebooka4be53fadd", "kernel_id": "266387"}, {"ref": "abhisheknagarjuna/notebook1fbc4954f1", "kernel_id": "267406"}, {"ref": "abhisheknagarjuna/notebook3884e044ae", "kernel_id": "267381"}, {"ref": "abhisheknagarjuna/notebook72269f2fa9", "kernel_id": "268048"}, {"ref": "abhisheknagarjuna/quora-ques-first-exploration", "kernel_id": "265451"}, {"ref": "weiweicheng/notebook58ffc3ea70", "kernel_id": "219985"}, {"ref": "vbandaru/notebookb9ab9d0284", "kernel_id": "213588"}, {"ref": "vbandaru/notebook0f9e87de1c", "kernel_id": "213505"}, {"ref": "vbandaru/notebook64c09e143e", "kernel_id": "213665"}, {"ref": "vbandaru/notebooka966dd0582", "kernel_id": "213667"}, {"ref": "vbandaru/notebooka5e4ca4ce7", "kernel_id": "213642"}, {"ref": "vbandaru/notebook8a24e78eba", "kernel_id": "213653"}, {"ref": "vbandaru/notebook754613c63e", "kernel_id": "212855"}, {"ref": "vbandaru/exploration", "kernel_id": "212803"}, {"ref": "hoannguyen/notebook6d9b786b4b", "kernel_id": "227458"}, {"ref": "anantgupta/different-similarity-metrics", "kernel_id": "226403"}, {"ref": "egolinko/cosine-distance", "kernel_id": "214558"}, {"ref": "egolinko/cosine-distances", "kernel_id": "213449"}, {"ref": "karimamer/matching-que-for-quora-end-to-end-calibrated", "kernel_id": "217635"}, {"ref": "kapetis/notebook812fd38b44", "kernel_id": "230716"}, {"ref": "alwaysr9/zfz-first", "kernel_id": "220314"}, {"ref": "alwaysr9/notebook1c79bfbb08", "kernel_id": "220324"}, {"ref": "alwaysr9/notebook5bce8c4e52", "kernel_id": "220334"}, {"ref": "alwaysr9/zfz-first-script", "kernel_id": "220380"}, {"ref": "manoharswamynathan/deep-nlp-triples", "kernel_id": "276040"}, {"ref": "parikshitjoshi/notebookff3e11bed5", "kernel_id": "213987"}, {"ref": "skihikingkevin/magic-feature-v2-0-045-gain-as", "kernel_id": "266998"}, {"ref": "skihikingkevin/magic-feature-v2-krzy-new-idea", "kernel_id": "269427"}, {"ref": "skihikingkevin/lb-0-158-xgb-handcrafted-leaky", "kernel_id": "269395"}, {"ref": "skihikingkevin/magic-features-0-03-gain", "kernel_id": "270174"}, {"ref": "bguberfain/word-match-1", "kernel_id": "213415"}, {"ref": "rejithry/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "258586"}, {"ref": "seeitnow/notebook79cccbd1a1", "kernel_id": "214820"}, {"ref": "aphex34/extensible-end-to-end-solution-with-a-dnn", "kernel_id": "226540"}, {"ref": "gangbeng/try111", "kernel_id": "220192"}, {"ref": "narender1818/notebook40194c712e", "kernel_id": "238948"}, {"ref": "narender1818/notebookaf49a17c01", "kernel_id": "238936"}, {"ref": "shuishen112/notebooka361968285", "kernel_id": "242217"}, {"ref": "samehif/notebooka29a4fef76", "kernel_id": "226987"}, {"ref": "hamedpola/notebookf7b1a2725d", "kernel_id": "218828"}, {"ref": "vipink21/notebook70f3e353da", "kernel_id": "234958"}, {"ref": "kaushik94/trying-out-solutions-in-forum", "kernel_id": "230152"}, {"ref": "qiguo1/notebookd11bb9a4a6", "kernel_id": "246135"}, {"ref": "scirpus/does-this-make-sense-not-a-duplicate", "kernel_id": "265664"}, {"ref": "shravanumn/notebook258e3ecd11", "kernel_id": "240169"}, {"ref": "abhilashm/notebook37f4270a8d", "kernel_id": "218101"}, {"ref": "chinmaymk/notebook2117d0bd6e", "kernel_id": "236946"}, {"ref": "xzccix/notebookc7fc1d0d87", "kernel_id": "231191"}, {"ref": "tahash/notebook628b39cee2", "kernel_id": "220552"}, {"ref": "vamshiindla/notebookbc2a317ff5", "kernel_id": "215709"}, {"ref": "vamshiindla/bench-mark-model-with-constant-prob", "kernel_id": "214453"}, {"ref": "lalitm/notebook04dc2e2bba", "kernel_id": "228539"}, {"ref": "lalitm/data-analysis-xgboost-starter-0-35460-lb-e99222", "kernel_id": "237103"}, {"ref": "ivanl1/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "249580"}, {"ref": "speedoheck/notebook1afbfe8973", "kernel_id": "216280"}, {"ref": "speedoheck/notebookad07a269ff", "kernel_id": "220786"}, {"ref": "pixixi/notebookfd5431dbcf", "kernel_id": "244322"}, {"ref": "jojomoolayil/notebook5b1bcd0690", "kernel_id": "215587"}, {"ref": "rjosh24/notebook4856c71bd8", "kernel_id": "228962"}, {"ref": "rjosh24/xgboost-12357", "kernel_id": "229625"}, {"ref": "rjosh24/notebook6bcf3dbd24", "kernel_id": "229582"}, {"ref": "rjosh24/notebookf003af03d4", "kernel_id": "229591"}, {"ref": "shogosuzuki/what-is-hot-topic-on-quora", "kernel_id": "212731"}, {"ref": "shogosuzuki/how-should-we-tackle-noisy-train-dataset", "kernel_id": "213360"}, {"ref": "rekhac/notebook3b710d6447", "kernel_id": "223520"}, {"ref": "gaoxinyang/notebookb5fb3fdd16", "kernel_id": "222336"}, {"ref": "ashhafez/temporal-pattern-in-train-response-rates", "kernel_id": "235945"}, {"ref": "draken/nltk-xgboost-draft", "kernel_id": "218193"}, {"ref": "eccker/synonymousquestiontest", "kernel_id": "214233"}, {"ref": "eccker/quoraquestionpairsbyeccker", "kernel_id": "252080"}, {"ref": "eccker/notebookfed9fd4474", "kernel_id": "253226"}, {"ref": "abhatnag/quora-questions-bag-of-words-analysis", "kernel_id": "214007"}, {"ref": "inf3rn0/notebookfbcd188128", "kernel_id": "231056"}, {"ref": "mcallaghan/notebookb4b46083b0", "kernel_id": "214008"}, {"ref": "hongbo/3-feature", "kernel_id": "223422"}, {"ref": "hongbo/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "221445"}, {"ref": "hongbo/lstm-with-word2vec-embeddings", "kernel_id": "235556"}, {"ref": "tezdhar/temporal-pattern-verified-with-quora-dates", "kernel_id": "243897"}, {"ref": "skybirdhe/sky-1", "kernel_id": "212963"}, {"ref": "thammegowda/notebookadf8ea211a", "kernel_id": "241660"}, {"ref": "andirey/researching", "kernel_id": "224096"}, {"ref": "ironbar/notebookefb95e4e2a", "kernel_id": "229621"}, {"ref": "hiroshim/test1", "kernel_id": "226395"}, {"ref": "hiroshim/notebookb387d956b9", "kernel_id": "226396"}, {"ref": "shalva/notebookd4d1df0271", "kernel_id": "245921"}, {"ref": "shalva/notebookec0b00f7be", "kernel_id": "246070"}, {"ref": "shalva/notebook17e3ec685d", "kernel_id": "245146"}, {"ref": "colingrodecoeur/04-04-2017", "kernel_id": "227331"}, {"ref": "colingrodecoeur/data-analysis-xgboost-starter", "kernel_id": "215855"}, {"ref": "ryutek/notebook69f70d5cc0", "kernel_id": "256584"}, {"ref": "ustczhw/notebook6990bb0d5f", "kernel_id": "223829"}, {"ref": "ustczhw/notebook0cbf88da74", "kernel_id": "223756"}, {"ref": "ustczhw/notebook897f7e0258", "kernel_id": "223736"}, {"ref": "ustczhw/notebooka6c07264a0", "kernel_id": "223855"}, {"ref": "ustczhw/notebook383efea9a2", "kernel_id": "225179"}, {"ref": "ustczhw/notebookeae005e95c", "kernel_id": "225155"}, {"ref": "ustczhw/notebookcb2e72ca89", "kernel_id": "225157"}, {"ref": "ustczhw/notebookc64ce1b641", "kernel_id": "225273"}, {"ref": "ustczhw/notebook6cae735a6f", "kernel_id": "225278"}, {"ref": "dasolmar/xgb-with-whq-jaccard", "kernel_id": "242883"}, {"ref": "santanuds/simple-exploration-notebook-quora-ques-pair", "kernel_id": "218097"}, {"ref": "harikrishnanrajeev/simple-exploration-notebook-quora-ques-pair", "kernel_id": "220446"}, {"ref": "moyuji/magic-features-0-03-gain", "kernel_id": "264791"}, {"ref": "kambarakun/summary-of-dataset", "kernel_id": "238669"}, {"ref": "justfor/edges", "kernel_id": "263738"}, {"ref": "deepaksuresh/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "223644"}, {"ref": "yuenshome/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "258931"}, {"ref": "artimous/real-data-scientists-don-t-need-training-data", "kernel_id": "221279"}, {"ref": "artimous/data-analysis-xgboost-starter-0-32460-lb", "kernel_id": "223147"}, {"ref": "artimous/real-data-scientists-train-hard", "kernel_id": "222129"}, {"ref": "artimous/reach-the-count-words-benchmark", "kernel_id": "228418"}, {"ref": "christofer/word2vec-skipgram-model-with-tensorflow", "kernel_id": "256994"}, {"ref": "christofer/notebook5be6ce882f", "kernel_id": "257006"}, {"ref": "christofer/lstm-with-word2vec-embeddings", "kernel_id": "245401"}, {"ref": "ledhead/notebook430763edb9", "kernel_id": "242307"}, {"ref": "jordanburgess/notebookc1dc527618", "kernel_id": "221007"}, {"ref": "joswin/try-to-win", "kernel_id": "251230"}, {"ref": "abcdef123456/notebookb8926b89d3", "kernel_id": "278553"}, {"ref": "rajkuma/notebook19ae970ce5", "kernel_id": "241717"}, {"ref": "krsnewwave/notebook059fd5057e", "kernel_id": "225511"}, {"ref": "saeed3/notebook4aa9e2d662", "kernel_id": "213310"}, {"ref": "sujitrathi/notebook6d747b6530", "kernel_id": "222107"}, {"ref": "satadru5/test-qu", "kernel_id": "254669"}, {"ref": "rafaelgcpp/notebook7fdaa67344", "kernel_id": "214409"}, {"ref": "rahultej/randomforest2", "kernel_id": "213545"}, {"ref": "rdizzl3/notebook75ea611046", "kernel_id": "242433"}, {"ref": "harshratde/notebook2ec5dfb02e", "kernel_id": "252470"}, {"ref": "harshratde/starting-with-the-quora", "kernel_id": "252473"}, {"ref": "zashkan/explore-qura", "kernel_id": "274760"}, {"ref": "lamdang/dl-models", "kernel_id": "283446"}, {"ref": "smurching/notebook91151c93b3", "kernel_id": "235642"}, {"ref": "rudolphbroomes/notebook92aa22d936", "kernel_id": "214198"}, {"ref": "nitinnataraj/notebookcc44ef42c2", "kernel_id": "217668"}, {"ref": "nitinnataraj/quora-duplicate-question-analysis", "kernel_id": "217760"}, {"ref": "mguovalley/question-similarity-using-lstm-embedding", "kernel_id": "239445"}, {"ref": "galinamalovichko/notebook37874f005e", "kernel_id": "212723"}, {"ref": "alyosama/quora-question-pairs-randomforestclassifier", "kernel_id": "220985"}, {"ref": "trottefox/train-data-augmentation-quora", "kernel_id": "246428"}, {"ref": "rajkiran/quora-question-pairs-feature-extraction", "kernel_id": "339594"}, {"ref": "steviekbd/notebook7e1a02ada2", "kernel_id": "225118"}, {"ref": "iluzin/hw4-luzin", "kernel_id": "253229"}, {"ref": "yoannjanvier/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "230772"}, {"ref": "rohitbora/notebook1331d42f55", "kernel_id": "215454"}, {"ref": "hudan1992/notebookcd32a9dc97", "kernel_id": "218620"}, {"ref": "hudan1992/notebookec0e8b66bf", "kernel_id": "242287"}, {"ref": "hudan1992/notebook072e758733", "kernel_id": "241576"}, {"ref": "hudan1992/notebook69555b0f72", "kernel_id": "251918"}, {"ref": "hudan1992/notebookf0717443c1", "kernel_id": "254984"}, {"ref": "herilalaina/simple-idea", "kernel_id": "213111"}, {"ref": "prashanth1990/notebookd8f1ffd4bb", "kernel_id": "220701"}, {"ref": "mathlf2015/word-match-1", "kernel_id": "213176"}, {"ref": "mathlf2015/fork-1", "kernel_id": "214129"}, {"ref": "stmike/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "213997"}, {"ref": "thomascleberg/notebook65829eceab", "kernel_id": "212826"}, {"ref": "jturkewitz/magic-features-0-03-gain", "kernel_id": "249898"}, {"ref": "jorgepalma/duplicate-questions", "kernel_id": "272873"}, {"ref": "khovanskiy/levenshtein-distance", "kernel_id": "217327"}, {"ref": "janviparikh/test1", "kernel_id": "279458"}, {"ref": "chambox/notebook8b1f2edf8f", "kernel_id": "225285"}, {"ref": "sugang/quora-nlp-challenge-python", "kernel_id": "219260"}, {"ref": "sugang/quora-r-scripts", "kernel_id": "219620"}, {"ref": "ash122/text-for-rf", "kernel_id": "218172"}, {"ref": "shubh24/wordnet-similarity-matrix-a-naive-implementation", "kernel_id": "215031"}, {"ref": "shubh24/pagerank-on-quora-a-basic-implementation", "kernel_id": "272654"}, {"ref": "chechir/notebookcdfacd7a09", "kernel_id": "241543"}, {"ref": "chechir/testing-try", "kernel_id": "241548"}, {"ref": "chechir/export-feats-kernel", "kernel_id": "244148"}, {"ref": "chechir/aaaaaa", "kernel_id": "244701"}, {"ref": "chechir/import-xgboost-as-xgb", "kernel_id": "244929"}, {"ref": "xiangshiyin/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257987"}, {"ref": "xiangshiyin/quora-question-dup", "kernel_id": "253201"}, {"ref": "chinta/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "245642"}, {"ref": "jaganb/notebook394afacb4c", "kernel_id": "267946"}, {"ref": "jaganb/quora-data-analysis", "kernel_id": "267952"}, {"ref": "jaganb/quora-first-data-analysis", "kernel_id": "267956"}, {"ref": "mmotoki/estimating-the-size-of-the-public-dataset", "kernel_id": "229636"}, {"ref": "kaushikchowdhury/notebook2aff411b51", "kernel_id": "217576"}, {"ref": "chanrom/tf-idf", "kernel_id": "214749"}, {"ref": "chanrom/asdfsdfsdf", "kernel_id": "214673"}, {"ref": "rentzso/notebook02d10455c7", "kernel_id": "213339"}, {"ref": "rentzso/notebook152e179ae3", "kernel_id": "213340"}, {"ref": "aries515/using-word2vec-and-t-sne-for-visualization", "kernel_id": "254806"}, {"ref": "balakumarank/quora", "kernel_id": "216423"}, {"ref": "gmi777/quora-interactive-eda", "kernel_id": "219790"}, {"ref": "paradesi/script1", "kernel_id": "220019"}, {"ref": "paradesi/testscript1", "kernel_id": "220013"}, {"ref": "alaaelnouby/notebook2b3e6e3597", "kernel_id": "226748"}, {"ref": "niranjan0272/notebookd91795f503", "kernel_id": "212853"}, {"ref": "donniedarko/question-similarity-using-lstm-embedding", "kernel_id": "214141"}, {"ref": "silverguo/starter", "kernel_id": "214336"}, {"ref": "rinalin/first-try-tinkering-with-word2vector", "kernel_id": "226988"}, {"ref": "rinalin/first-try-featuring-engineering-and-prediction", "kernel_id": "223112"}, {"ref": "lkavanagh/notebook44cd4faa4e", "kernel_id": "222744"}, {"ref": "avsolatorio/basic-duplicate-algo", "kernel_id": "213425"}, {"ref": "avsolatorio/test-nb", "kernel_id": "213440"}, {"ref": "junlue/notebookb487797b71", "kernel_id": "224385"}, {"ref": "ksayantani/data-analysis", "kernel_id": "278001"}, {"ref": "ksayantani/quora-eda", "kernel_id": "278005"}, {"ref": "ksayantani/initial-analysis", "kernel_id": "246721"}, {"ref": "ksayantani/notebook36a36861ce", "kernel_id": "243728"}, {"ref": "sionek/first6", "kernel_id": "212705"}, {"ref": "sionek/word-match-1", "kernel_id": "212958"}, {"ref": "sionek/word-match-2", "kernel_id": "212980"}, {"ref": "sionek/test111", "kernel_id": "227916"}, {"ref": "sionek/quora-question-pairs-xgboost-starter-in-r", "kernel_id": "252219"}, {"ref": "anjithgeorge/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "234029"}, {"ref": "gsmafra/string-based-k-core-magic-features", "kernel_id": "270176"}, {"ref": "gsmafra/generate-test-with-ids-csv-kcore-magic-features", "kernel_id": "270089"}, {"ref": "pallabs/try1-r", "kernel_id": "231591"}, {"ref": "protei/notebook2dd589fd4b", "kernel_id": "236062"}, {"ref": "hermetist/notebook5476f9fefb", "kernel_id": "232707"}, {"ref": "hermetist/notebookxxaa", "kernel_id": "232698"}, {"ref": "hermetist/magic-feature-v2-krzy-new-idea", "kernel_id": "269882"}, {"ref": "abhilashrj/notebook7943197360", "kernel_id": "231548"}, {"ref": "z77350774/notebookd039051cd4", "kernel_id": "213816"}, {"ref": "eachaa/notebookd9e33b5803", "kernel_id": "223305"}, {"ref": "eachaa/test-script", "kernel_id": "223307"}, {"ref": "fredericenard/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "226415"}, {"ref": "hannarud/first-try", "kernel_id": "218149"}, {"ref": "febrifahmi/notebooke48064353a", "kernel_id": "217030"}, {"ref": "anujmenta/word2vec-implementation", "kernel_id": "215286"}, {"ref": "zzjin13/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "225904"}, {"ref": "lynten/notebookd05d6988d9", "kernel_id": "239030"}, {"ref": "suryau/notebook81f01e5060", "kernel_id": "271836"}, {"ref": "peymanmorteza/notebook8d4b00447a", "kernel_id": "213068"}, {"ref": "vinotharun89/exploratory-data-analysis", "kernel_id": "213326"}, {"ref": "nanu146/quora-explore", "kernel_id": "221895"}, {"ref": "anbarasu/quora-ml", "kernel_id": "216422"}, {"ref": "sunnybest1990/notebookc802523009", "kernel_id": "218966"}, {"ref": "vasaibaby/randomforest-on-3-basic-features-in-r", "kernel_id": "214105"}, {"ref": "wanggrun/magic-features-0-03-gain", "kernel_id": "264704"}, {"ref": "wanggrun/fork-of-magic-features-0-03-gain", "kernel_id": "264713"}, {"ref": "samhithachalla/notebook3169b4f074", "kernel_id": "216495"}, {"ref": "paulantoine/python-xgb-lb-0-402", "kernel_id": "215571"}, {"ref": "paulantoine/string-based-k-core-magic-features", "kernel_id": "273480"}, {"ref": "hhamad/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "219425"}, {"ref": "armaniferrante/notebook227a0aa394", "kernel_id": "240746"}, {"ref": "manojagr/a-fair-model-with-r", "kernel_id": "257981"}, {"ref": "vishallakha/downloading-sample-dataset", "kernel_id": "254460"}, {"ref": "harikrishnankc/duplicates-of-duplicates", "kernel_id": "237123"}, {"ref": "apatnaik22/notebookceac679eb7", "kernel_id": "253576"}, {"ref": "mikell/012345", "kernel_id": "213754"}, {"ref": "mikell/xgb-with-whq", "kernel_id": "236471"}, {"ref": "dlajeunesse/abcde", "kernel_id": "231681"}, {"ref": "fireblade/notebookd17892bc3c", "kernel_id": "213660"}, {"ref": "fireblade/notebook0493b727d4", "kernel_id": "213689"}, {"ref": "navdeeppal/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "364954"}, {"ref": "alenjacob123/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "215943"}, {"ref": "julinas/notebook971ae9761f", "kernel_id": "222477"}, {"ref": "mrouvier/notebookd7469d7f67", "kernel_id": "218864"}, {"ref": "ecustwm/notebookf537c4984e", "kernel_id": "232343"}, {"ref": "dhc123/test-quora-2", "kernel_id": "237809"}, {"ref": "dhc123/test-quora", "kernel_id": "237788"}, {"ref": "dhc321/test-quora", "kernel_id": "238172"}, {"ref": "agavranis/xgb-starter-12357-csv", "kernel_id": "218989"}, {"ref": "agavranis/matching-que-for-quora-end-to-end-170324", "kernel_id": "219063"}, {"ref": "agavranis/notebook1f0d81a774", "kernel_id": "219068"}, {"ref": "agavranis/xgb-starter-12357", "kernel_id": "215625"}, {"ref": "agavranis/data-analysis-xgboost-first-tryy", "kernel_id": "214753"}, {"ref": "agavranis/scaled-prob", "kernel_id": "271074"}, {"ref": "agavranis/different-location-questions", "kernel_id": "263182"}, {"ref": "jxux439/first-try-tinkering-with-word2vector", "kernel_id": "227805"}, {"ref": "thedarkl0rd/xgbstarter-340", "kernel_id": "217468"}, {"ref": "jim1216/notebook1b3e816076", "kernel_id": "239561"}, {"ref": "alaaawad/notebook25b5ad19c2", "kernel_id": "253847"}, {"ref": "alaaawad/notebook87f176f33b", "kernel_id": "253375"}, {"ref": "hardeeparora/the-importance-of-cleaning-text", "kernel_id": "264390"}, {"ref": "vedavyas/importance-of-a-linguistic-pre-processing", "kernel_id": "262610"}, {"ref": "gbarnow/quora-interactive-eda", "kernel_id": "221966"}, {"ref": "isameer7/notebook8ec9575fb8", "kernel_id": "213042"}, {"ref": "apapiu/notebook5d39f66e12", "kernel_id": "240905"}, {"ref": "rituraj/notebookaaf4dcf95d", "kernel_id": "215062"}, {"ref": "towhid1/practice-understanding-data", "kernel_id": "258538"}, {"ref": "beletecheneke/xgb-starter-12359", "kernel_id": "219460"}, {"ref": "priyaragavi/notebooke78b583341", "kernel_id": "240602"}, {"ref": "priyaragavi/notebookbe702646ea", "kernel_id": "240597"}, {"ref": "priyaragavi/notebook118dde0cd7", "kernel_id": "240629"}, {"ref": "priyaragavi/npr-1", "kernel_id": "240630"}, {"ref": "yottoboss/quora", "kernel_id": "264604"}, {"ref": "keerthip/notebookc6412c630a", "kernel_id": "213435"}, {"ref": "wvadim/notebook07ae9bde1b", "kernel_id": "239228"}, {"ref": "CVxTz/magic-feature-v2-krzy-new-idea", "kernel_id": "270523"}, {"ref": "chenchaodev/notebook5039c82707", "kernel_id": "231991"}, {"ref": "chenchaodev/notebook66822f16f5", "kernel_id": "221448"}, {"ref": "vegasz/my-little-test", "kernel_id": "218440"}, {"ref": "vegasz/notebook6b436ca635", "kernel_id": "222058"}, {"ref": "akki0206/text-mining-testing", "kernel_id": "220587"}, {"ref": "amitgodbole/quora-eda-model-selection-roc-pr-plots", "kernel_id": "324142"}, {"ref": "robinlai/similarity-is-not-a-substitute-for-semantics", "kernel_id": "241258"}, {"ref": "robinlai/the-importance-of-cleaning-text", "kernel_id": "232362"}, {"ref": "robinlai/data-analysis-xgboost-starter-0-35460-lb-04fecd", "kernel_id": "232608"}, {"ref": "hvleejr/notebook02acefbce9", "kernel_id": "255009"}, {"ref": "timib1203/exploratory-data-cleaning", "kernel_id": "441409"}, {"ref": "kaka6599/notebook9c13c99bf3", "kernel_id": "247943"}, {"ref": "millerintllc/ls123456", "kernel_id": "226844"}, {"ref": "millerintllc/fe-model-stacking-quick-start", "kernel_id": "226842"}, {"ref": "mwroma/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "230370"}, {"ref": "mwroma/matching-que-for-quora-end-to-end-0-337-de540a", "kernel_id": "230549"}, {"ref": "vchezganov/mysteststs", "kernel_id": "238257"}, {"ref": "kercker/notebook40d73619b3", "kernel_id": "229465"}, {"ref": "tabulation/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "217292"}, {"ref": "answer1992/lb-0-158-xgb-handcrafted2", "kernel_id": "269673"}, {"ref": "aanany2/darkerhorse", "kernel_id": "216153"}, {"ref": "aanany2/mooner", "kernel_id": "216930"}, {"ref": "kishoripawar/notebookc75e0caada", "kernel_id": "224675"}, {"ref": "kishoripawar/notebookee85d82a47", "kernel_id": "242911"}, {"ref": "kbpatil/notebooka6306ffceb", "kernel_id": "255287"}, {"ref": "alexeylive/xgb-starter-12359", "kernel_id": "223124"}, {"ref": "asiamr/notebook6e47c438e4", "kernel_id": "226857"}, {"ref": "asiamr/test-quora", "kernel_id": "227490"}, {"ref": "tkm2261/my-magic-feature", "kernel_id": "278551"}, {"ref": "ankkatiyar/lexical-analysis", "kernel_id": "216396"}, {"ref": "pb2cmu/quora-qa-pair-similarity-detection", "kernel_id": "222141"}, {"ref": "barkfir/notebook6f4a210fd8", "kernel_id": "216673"}, {"ref": "cgrimal/notebook080c28a3bd", "kernel_id": "231283"}, {"ref": "cgrimal/words-in-common-benchmark", "kernel_id": "225648"}, {"ref": "znmean/xgb-starter-12357", "kernel_id": "230028"}, {"ref": "asogani/notebook7efaa4459c", "kernel_id": "216154"}, {"ref": "zonemercy/importance-of-a-linguistic-pre-processing", "kernel_id": "266303"}, {"ref": "vipindas/quora-v-2", "kernel_id": "230226"}, {"ref": "vipindas/quora-v-4", "kernel_id": "230601"}, {"ref": "vipindas/notebook1913da7856", "kernel_id": "230513"}, {"ref": "vipindas/quroa-v-3", "kernel_id": "230528"}, {"ref": "vipindas/quora-v-11", "kernel_id": "234970"}, {"ref": "facadev/notebook39adedfcec", "kernel_id": "213810"}, {"ref": "facadev/notebook504911da46", "kernel_id": "213782"}, {"ref": "facadev/quora-test-1", "kernel_id": "214623"}, {"ref": "bankhv/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "226219"}, {"ref": "dishamw/notebookdafecf73b1", "kernel_id": "257189"}, {"ref": "yamolekula/data-analysis-xgboost-starter-0-35460-lb-53fe9a", "kernel_id": "241254"}, {"ref": "faamin/notebook573569ef1f", "kernel_id": "218362"}, {"ref": "faamin/notebook557cede6d3", "kernel_id": "253588"}, {"ref": "adhok93/notebook8c3a6a8e86", "kernel_id": "248426"}, {"ref": "adhok93/initial-analysis-using-tidytext", "kernel_id": "248429"}, {"ref": "zfturbo/pagerank-on-quora-feature-file-generator", "kernel_id": "274750"}, {"ref": "rjsaito/duplicates-of-duplicates", "kernel_id": "236998"}, {"ref": "caseyftw/notebook442341ee4a", "kernel_id": "216647"}, {"ref": "revanw/quora-eda-model-selection-roc-pr-plots", "kernel_id": "228098"}, {"ref": "mridulgarg11/word-match-1", "kernel_id": "213605"}, {"ref": "dmerson/notebookeec9eddfbd", "kernel_id": "271960"}, {"ref": "aerdem4/semi-magic-postprocess-0-005-lb-gain", "kernel_id": "279903"}, {"ref": "thomaskahn/explore", "kernel_id": "220796"}, {"ref": "amitkumarjaiswal/quora-web", "kernel_id": "219635"}, {"ref": "busishu/notebook21215920be", "kernel_id": "214125"}, {"ref": "busishu/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "214085"}, {"ref": "busishu/notebook15a971a186", "kernel_id": "212947"}, {"ref": "busishu/notebookdb1f57a921", "kernel_id": "212920"}, {"ref": "francescoimbriglia/notebook6c9cda1874", "kernel_id": "215560"}, {"ref": "life2short/data-processing-replace-abbreviation-of-word", "kernel_id": "215651"}, {"ref": "life2short/data-processing-generate-more-positive-train-data", "kernel_id": "215697"}, {"ref": "cakewalk/quora-kernel-test", "kernel_id": "217491"}, {"ref": "tj2552/similarity-techniques-nlp", "kernel_id": "217267"}, {"ref": "victorwhz/notebook950e930d29", "kernel_id": "231475"}, {"ref": "boobayooba/notebook7ecb37acba", "kernel_id": "220375"}, {"ref": "boobayooba/notebook22bcd10f0d", "kernel_id": "237324"}, {"ref": "boobayooba/notebook49b480bdba", "kernel_id": "237334"}, {"ref": "sart123/notebook6a0d41bd38", "kernel_id": "218854"}, {"ref": "maxjiang/notebooka5c8f9efe0", "kernel_id": "217140"}, {"ref": "maxjiang/notebookaa97f38861", "kernel_id": "217148"}, {"ref": "lmdehaas/notebooka54a1fa365", "kernel_id": "213572"}, {"ref": "katarz/notebook87e8d9386f", "kernel_id": "213598"}, {"ref": "mightybird/notebook7f92d5a0f9", "kernel_id": "214630"}, {"ref": "mightybird/words-in-common", "kernel_id": "214635"}, {"ref": "walnutmandu/similarity-techniques-nlp", "kernel_id": "230027"}, {"ref": "amit5s3/quora", "kernel_id": "214486"}, {"ref": "arjoonn/exploration", "kernel_id": "226380"}, {"ref": "nitishgopu/training", "kernel_id": "214496"}, {"ref": "architrathore/notebook74979fb7bb", "kernel_id": "222798"}, {"ref": "architrathore/notebook08a82c5b15", "kernel_id": "223538"}, {"ref": "ogrellier/notebook9d87e49015", "kernel_id": "224618"}, {"ref": "abhisheksrathore/notebook28644c3ca6", "kernel_id": "215573"}, {"ref": "abhisheksrathore/asr-quora", "kernel_id": "215415"}, {"ref": "timlincool/test-kaggle-quora-solution-8th", "kernel_id": "280215"}, {"ref": "iamprakashom/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "280514"}, {"ref": "itcat2015/notebookc5a0f2c09d", "kernel_id": "245934"}, {"ref": "fisimon/notebook375b5b5c44", "kernel_id": "224784"}, {"ref": "geauxmushroom/notebook047535035e", "kernel_id": "227419"}, {"ref": "xing89qs/notebookf10e0fec94", "kernel_id": "231456"}, {"ref": "arjundatt/notebookc17c02c194", "kernel_id": "214527"}, {"ref": "arjundatt/notebook5be55b0d74", "kernel_id": "226344"}, {"ref": "kirillal/quora-nlp", "kernel_id": "258607"}, {"ref": "samskruthireddy/notebook51866c71ea", "kernel_id": "215071"}, {"ref": "anokas/more-in-depth-temporal-pattern-analysis", "kernel_id": "277826"}, {"ref": "anokas/test123", "kernel_id": "215087"}, {"ref": "anokas/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "212684"}, {"ref": "wdmzslxy/my-first-model", "kernel_id": "221945"}, {"ref": "wdmzslxy/randomforest-on-3-basic-features-in-r", "kernel_id": "221129"}, {"ref": "sergiigolovko/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "225562"}, {"ref": "osmankocas/notebookc27fcc6689", "kernel_id": "275503"}, {"ref": "rishikksh20/bow-concept", "kernel_id": "256307"}, {"ref": "animeshdevarshi/ad-quora-question-pairs", "kernel_id": "217437"}, {"ref": "pujarirajkumar/notebooka31fc5fc14", "kernel_id": "224461"}, {"ref": "ugurgudelek/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257269"}, {"ref": "desmliu/notebooke2ab8ca55f", "kernel_id": "216896"}, {"ref": "giranntu/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "216320"}, {"ref": "giranntu/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "213947"}, {"ref": "srsasank/fuzzy-search-algorithm-lb-0-472380", "kernel_id": "213826"}, {"ref": "skutala1/lstm-with-word2vec-embeddings", "kernel_id": "245511"}, {"ref": "wzhwwhy/quora-challenge", "kernel_id": "235326"}, {"ref": "wzhwwhy/notebook34767cd1bc", "kernel_id": "237058"}, {"ref": "wzhwwhy/fork-of-quora-challenge", "kernel_id": "237141"}, {"ref": "zkhangt/notebookb46665c5b3", "kernel_id": "228942"}, {"ref": "fancoo/quick-guide-for-making-0-10112-score-technosphere", "kernel_id": "258677"}, {"ref": "wangyujie/magic-features-0-03-gain", "kernel_id": "252076"}, {"ref": "epattaro/making-more-data", "kernel_id": "254003"}, {"ref": "arruran/remove-not-duplicate-rows", "kernel_id": "253057"}, {"ref": "arruran/similarity-words", "kernel_id": "241410"}, {"ref": "gosuddin/notebook85fc573153", "kernel_id": "236885"}, {"ref": "gaobobo/notebook6a6d97129a", "kernel_id": "213355"}, {"ref": "gatzzliao/data-analysis-xgboost-starter-0-35460-lb-a07284", "kernel_id": "243964"}, {"ref": "beyondacm/notebook7dd802b7d6", "kernel_id": "238051"}, {"ref": "beyondacm/notebook3eb3a7acd9", "kernel_id": "238052"}, {"ref": "ilivans/fork-of-data-analysis-xgboost-starter-0-35460-l", "kernel_id": "276558"}, {"ref": "jwtrueb/notebook0944671f0d", "kernel_id": "219515"}, {"ref": "aseembh2001/notebook3f467de42f", "kernel_id": "244007"}, {"ref": "raliclo/quora-question-pairs", "kernel_id": "274196"}, {"ref": "dukachan/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "238990"}, {"ref": "paulorzp/wordmatchminlogloss", "kernel_id": "212732"}, {"ref": "paulorzp/notebook5730290604", "kernel_id": "212733"}, {"ref": "aakashnain/notebook0df3d2e287", "kernel_id": "255021"}, {"ref": "mribero/notebooka1ef26ee68", "kernel_id": "215144"}, {"ref": "fupeng/notebook02af70c7fc", "kernel_id": "257727"}, {"ref": "fupeng/data-analysis-xgboost-starter-0-35460-lb-135494", "kernel_id": "214517"}, {"ref": "fupeng/notebook639bc1842a", "kernel_id": "212982"}, {"ref": "nopium/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "218208"}, {"ref": "nopium/matching-que-for-quora-end-to-end-0-337-ca7e55", "kernel_id": "218226"}, {"ref": "valyome/notebookafd1899eaa", "kernel_id": "225042"}, {"ref": "jackli/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "215447"}, {"ref": "jackli/quora-question-pairs-1", "kernel_id": "215462"}, {"ref": "kapitonov/simple-model", "kernel_id": "256060"}, {"ref": "eliotbarr/quora-vizualization", "kernel_id": "219839"}, {"ref": "eliotbarr/vizualizing", "kernel_id": "219836"}, {"ref": "zxw142830/notebook68936bd869", "kernel_id": "225066"}, {"ref": "zxw142830/notebook49bc99da7f", "kernel_id": "224372"}, {"ref": "zxw142830/notebookfe7ae97e7f", "kernel_id": "221645"}, {"ref": "zxw142830/notebookc61023fddf", "kernel_id": "221610"}, {"ref": "zxw142830/notebook8f724fa8e0", "kernel_id": "220766"}, {"ref": "zxw142830/notebookb689d954c5", "kernel_id": "220651"}, {"ref": "zxw142830/test1", "kernel_id": "220648"}, {"ref": "homerzhm/notebook4dab74683f", "kernel_id": "238456"}, {"ref": "jimfeng/notebook05ff4975fe", "kernel_id": "229401"}, {"ref": "jimfeng/notebook037b3f2c81", "kernel_id": "223710"}, {"ref": "jimfeng/notebook3069e8f845", "kernel_id": "233770"}, {"ref": "weishenghua/notebook35042cee2e", "kernel_id": "228419"}, {"ref": "chengju/data-analysis-xgboost-starter-0-35460-lb-12d8b0", "kernel_id": "214557"}, {"ref": "thorinn/notebookfdd245011a", "kernel_id": "234094"}, {"ref": "pokutnik/notebookdbac0800cd", "kernel_id": "217787"}, {"ref": "parveez/notebook43d1b38682", "kernel_id": "214929"}, {"ref": "nirupamkar/submit01", "kernel_id": "262704"}, {"ref": "nirupamkar/112rrt1", "kernel_id": "275196"}, {"ref": "nirupamkar/first-try1", "kernel_id": "268574"}, {"ref": "jonamjar/notebookc0bdbc1487", "kernel_id": "213477"}, {"ref": "jihyeseo/visualizing-word-vectors-with-t-sne", "kernel_id": "556933"}, {"ref": "jihyeseo/quora-eda-nlp-2class", "kernel_id": "957719"}, {"ref": "badoun/data-analysis-xgboost-starter-0-35460-lb-0e9cbe", "kernel_id": "234216"}, {"ref": "palash918/notebook068a0e075c", "kernel_id": "228749"}, {"ref": "kumar44231/notebookd2d85156a9", "kernel_id": "232683"}, {"ref": "kumar44231/notebook4ab688d343", "kernel_id": "232666"}, {"ref": "wedoslaw/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "217319"}, {"ref": "mrcrowley/quoratxtsm1", "kernel_id": "213463"}, {"ref": "prajnya/notebook3759e0f843", "kernel_id": "214217"}, {"ref": "badat0202/notebook82abf2c51e", "kernel_id": "216284"}, {"ref": "badat0202/estimate-distribution-of-data-in-lb", "kernel_id": "216230"}, {"ref": "sauravkaushik8/xgb-ji", "kernel_id": "263929"}, {"ref": "hartleyg/xgboost", "kernel_id": "243518"}, {"ref": "penakazato/quora-eda", "kernel_id": "228858"}, {"ref": "amansrivastava/train-model-py", "kernel_id": "243016"}, {"ref": "amansrivastava/find-similarity-using-xgboost-model", "kernel_id": "243017"}, {"ref": "ddumet/notebook08fd3c47dd", "kernel_id": "215119"}, {"ref": "shakurova/notebook9741e17925", "kernel_id": "236512"}, {"ref": "shakurova/notebooka26fb6cc13", "kernel_id": "213395"}, {"ref": "jiayu4/notebook3db4bd182b", "kernel_id": "238612"}, {"ref": "greenreddy0/notebookf28e020bdc", "kernel_id": "240042"}, {"ref": "wangquan/notebook7d53d13158", "kernel_id": "271025"}, {"ref": "obknik/an-interesting-solution-90-accuracy", "kernel_id": "230868"}, {"ref": "obknik/matching-que-for-quora-end-to-end-0-337-857792", "kernel_id": "230870"}, {"ref": "obknik/matching-que-for-quora-end-to-end-0-337-18e5c4", "kernel_id": "230892"}, {"ref": "obknik/11111", "kernel_id": "222106"}, {"ref": "gweijie/data-analysis-xgboost-first-try", "kernel_id": "214555"}, {"ref": "soumyaansh/notebook91b61e08a5", "kernel_id": "244891"}, {"ref": "soumyaansh/notebook56e0d104d2", "kernel_id": "243880"}, {"ref": "terryli/my-notebook", "kernel_id": "254803"}, {"ref": "terryli/my-script", "kernel_id": "256402"}, {"ref": "vibhug/data-sensing", "kernel_id": "237298"}, {"ref": "andingo/notebookcf25d0f67e", "kernel_id": "234496"}, {"ref": "sambit7/notebook614085a495", "kernel_id": "216802"}, {"ref": "sambit7/notebook040107b970", "kernel_id": "215058"}, {"ref": "njuluke/an-ensemble-approach-cnn-and-timedistributed", "kernel_id": "231977"}, {"ref": "wpncrh/feature-engineering-xgboost", "kernel_id": "221467"}, {"ref": "wpncrh/xgb-starter-12359", "kernel_id": "223318"}, {"ref": "wpncrh/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "218720"}, {"ref": "wpncrh/building-off-anokas", "kernel_id": "218679"}, {"ref": "wpncrh/feature-creation", "kernel_id": "219043"}, {"ref": "novikovanastya/quora-questions", "kernel_id": "255418"}, {"ref": "gian12/notebook52fafcda73", "kernel_id": "237284"}, {"ref": "vivekbawa/notebook5b978ef3bb", "kernel_id": "218512"}, {"ref": "muzhen/the-first-try", "kernel_id": "226996"}, {"ref": "aliceyangxi/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "236069"}, {"ref": "aranair/notebook1f8a40b6ec", "kernel_id": "218215"}, {"ref": "zvovov/notebook7d9b321dc1", "kernel_id": "220427"}, {"ref": "wythend/notebook0f37aae9e1", "kernel_id": "252291"}, {"ref": "wythend/data-analysis-xgboost-starter-0-35460-lb-2b1aac", "kernel_id": "252294"}, {"ref": "wythend/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "252268"}, {"ref": "danielsanchez/notebookde4263fd55", "kernel_id": "264346"}, {"ref": "danielsanchez/notebook9ece983728", "kernel_id": "264266"}, {"ref": "danielsanchez/notebook2d7d853559", "kernel_id": "232096"}, {"ref": "danielsanchez/duplicate-rate", "kernel_id": "237489"}, {"ref": "danielsanchez/notebook18e2fb6262", "kernel_id": "217835"}, {"ref": "danielsanchez/notebook2b001ddc51", "kernel_id": "225599"}, {"ref": "mosnoiion/notebookdb621ced83", "kernel_id": "213334"}, {"ref": "weikunwang/quora-eda-model-selection-roc-pr-plots", "kernel_id": "270071"}, {"ref": "wqmike123/notebooka26d4a177a", "kernel_id": "230185"}, {"ref": "kepler/notebookc3181bdbb4", "kernel_id": "217597"}, {"ref": "trivedy23/first-python-script", "kernel_id": "216144"}, {"ref": "lamahechag/notebookec0ede3562", "kernel_id": "261871"}, {"ref": "sappyprg/notebookf83a27bf6a", "kernel_id": "216395"}, {"ref": "springmanndaniel/fork-of-matching-que-for-quora-end-to-end-0-33", "kernel_id": "278999"}, {"ref": "gregorynikolaidis/notebook98983d4139", "kernel_id": "216525"}, {"ref": "vrishank97/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "262200"}, {"ref": "gramce/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "219898"}, {"ref": "anshbansal/eda-for-competition", "kernel_id": "217709"}, {"ref": "rksriram312/feature-extraction-and-xgboost", "kernel_id": "269459"}, {"ref": "rksriram312/lb-0-158-xgb-handcrafted-leaky", "kernel_id": "269482"}, {"ref": "rksriram312/my-first-kaggle-kernel", "kernel_id": "266667"}, {"ref": "rksriram312/notebooka2d63c76dd", "kernel_id": "266729"}, {"ref": "wuxiaohui/the-importance-of-cleaning-text", "kernel_id": "227389"}, {"ref": "wuxiaohui/cleaning-text", "kernel_id": "242876"}, {"ref": "smarwen/notebook8987919827", "kernel_id": "218676"}, {"ref": "smarwen/notebookbc2e0889ae", "kernel_id": "214362"}, {"ref": "smarwen/notebook6b95dbb3b9", "kernel_id": "214365"}, {"ref": "smarwen/notebook5ef1c28040", "kernel_id": "215212"}, {"ref": "smarwen/notebook7591defe13", "kernel_id": "227478"}, {"ref": "smarwen/notebook76c85face2", "kernel_id": "227479"}, {"ref": "smarwen/notebook5e8b50b4b1", "kernel_id": "222789"}, {"ref": "zhilangtaosha/fork-1", "kernel_id": "213940"}, {"ref": "shreemoyeesarkar/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "213701"}, {"ref": "shreemoyeesarkar/data-analysis-xgboost-starter-0-35460-lb-bcd30c", "kernel_id": "216239"}, {"ref": "shreemoyeesarkar/notebookc339b9aaff", "kernel_id": "212971"}, {"ref": "shreemoyeesarkar/notebook2f99963878", "kernel_id": "213030"}, {"ref": "nitink12/notebook3aaa956d83", "kernel_id": "267801"}, {"ref": "nitink12/test-nkquora-v1", "kernel_id": "267802"}, {"ref": "callemesunshine/notebookedb46228af", "kernel_id": "245349"}, {"ref": "callemesunshine/notebook74886fbae0", "kernel_id": "248095"}, {"ref": "asifsh/notebookaeb8e38c68", "kernel_id": "264609"}, {"ref": "vkyvikash/notebook7de497aed0", "kernel_id": "224902"}, {"ref": "raffo85/notebookb0f61525dd", "kernel_id": "215068"}, {"ref": "munersally/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "227842"}, {"ref": "ameyapandilwar/quora-question-pairs", "kernel_id": "236103"}, {"ref": "frownyface/notebook58e7474975", "kernel_id": "218785"}, {"ref": "skyblue1/notebook865c358a6a", "kernel_id": "215423"}, {"ref": "coffeepot/notebookfa36b98750", "kernel_id": "213306"}, {"ref": "qinpersevere/quora-eda-model-selection-roc-pr-plots-236321", "kernel_id": "235148"}, {"ref": "qinpersevere/notebooka33d94ba86", "kernel_id": "234419"}, {"ref": "amanrana20/notebook1614dfdf8c", "kernel_id": "220595"}, {"ref": "varsha1811/notebooke67ee36f77", "kernel_id": "221436"}, {"ref": "ivanoliveri/incomplete-questions-in-testing", "kernel_id": "241034"}, {"ref": "cjansen/magic-features-0-03-gain", "kernel_id": "251961"}, {"ref": "cjansen/quick-and-easy-spacy-lemmatizer", "kernel_id": "266700"}, {"ref": "cjansen/xgb-with-whq-jaccard", "kernel_id": "258433"}, {"ref": "trgosselin14/quora-competitions-nlp", "kernel_id": "233069"}, {"ref": "cfrazier91/cosine-sim-simple-feats-xgboost-starter", "kernel_id": "215180"}, {"ref": "cfrazier91/cosine-sim-simple-features-xgboost-starter", "kernel_id": "215233"}, {"ref": "westhyena/notebook8fd4e419b5", "kernel_id": "242727"}, {"ref": "mikevdickson/are-qid-and-time-related", "kernel_id": "237971"}, {"ref": "rishisankineni/quora-interactive-eda", "kernel_id": "216903"}, {"ref": "rishisankineni/matching-que-for-quora-end-to-end-0-337-0e46b7", "kernel_id": "217069"}, {"ref": "rishisankineni/notebooke7fed7e63c", "kernel_id": "217185"}, {"ref": "pxloadedz/notebook50b3ed16c9", "kernel_id": "246292"}, {"ref": "pxloadedz/quora", "kernel_id": "246297"}, {"ref": "jeffd23/visualizing-word-vectors-with-t-sne", "kernel_id": "214380"}, {"ref": "hc2016/20170409", "kernel_id": "230548"}, {"ref": "smitshah95/notebook5db12ff8ad", "kernel_id": "213336"}, {"ref": "nachiketgarge/random-forest-prediction-using-text-mining", "kernel_id": "219880"}, {"ref": "lxs0202/magic-feature-v2-krzy-new-idea", "kernel_id": "272300"}, {"ref": "yuanz1/data-processing-generate-more-positive-tra-cd03db", "kernel_id": "252558"}, {"ref": "nthakor/notebookbba1bd23fe", "kernel_id": "277487"}, {"ref": "aborgher/quora-duplicate-questions", "kernel_id": "252630"}, {"ref": "hirokiii/training-most-voted-notebook", "kernel_id": "231053"}, {"ref": "eshwanth/notebooka62d53647f", "kernel_id": "214620"}, {"ref": "prakritidevverma/notebookbeafc88614", "kernel_id": "229391"}, {"ref": "prakritidevverma/notebookafe256356d", "kernel_id": "252032"}, {"ref": "prakritidevverma/notebook9f0e4c6b2f", "kernel_id": "251723"}, {"ref": "prakritidevverma/capstone", "kernel_id": "251509"}, {"ref": "prakritidevverma/notebooke3bd93f59c", "kernel_id": "251582"}, {"ref": "prakritidevverma/notebookb5d86ac124", "kernel_id": "242032"}, {"ref": "prakritidevverma/notebook02735e9802", "kernel_id": "241088"}, {"ref": "prakritidevverma/notebook586e9c3553", "kernel_id": "240581"}, {"ref": "prakritidevverma/notebook70e85654f0", "kernel_id": "240538"}, {"ref": "prakritidevverma/udacity-cpastone-project", "kernel_id": "237506"}, {"ref": "prakritidevverma/udacity-capsotone-project", "kernel_id": "236626"}, {"ref": "prakritidevverma/notebook673580193d", "kernel_id": "230316"}, {"ref": "prakritidevverma/notebook0263f9b002", "kernel_id": "232236"}, {"ref": "chuhaoda/test-shallow-word2vec", "kernel_id": "257228"}, {"ref": "yezhisaim/quora-question-pairs", "kernel_id": "267800"}, {"ref": "yezhisaim/notebook543b73f303", "kernel_id": "266811"}, {"ref": "aagamjain/notebook53dbc7130f", "kernel_id": "227390"}, {"ref": "sudhansutaparia/quora-test-script", "kernel_id": "216454"}, {"ref": "lavi061997/quora", "kernel_id": "263625"}, {"ref": "adityakumarsinha/word2vec-meets-linguistic-preprocessing", "kernel_id": "259723"}, {"ref": "fheybati/bigrams-conddistfreq", "kernel_id": "227395"}, {"ref": "lokesh005/notebookc92a6a42de", "kernel_id": "275862"}, {"ref": "solomonk/quora-using-logistic-regression", "kernel_id": "214114"}, {"ref": "solomonk/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "214148"}, {"ref": "akashkarl/benchmark", "kernel_id": "275563"}, {"ref": "madhuvanthi/notebook5a3c472cd2", "kernel_id": "237408"}, {"ref": "madhuvanthi/notebook6470c1eb1f", "kernel_id": "235221"}, {"ref": "axelius/blehhhh", "kernel_id": "246882"}, {"ref": "axelius/quora-is-life", "kernel_id": "236118"}, {"ref": "axelius/my-noob-attempt-at-quora", "kernel_id": "236127"}, {"ref": "axelius/notebook7a0b00b788", "kernel_id": "213060"}, {"ref": "brookpang/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "222574"}, {"ref": "sharnam19/notebook4c91acf389", "kernel_id": "238262"}, {"ref": "sharnam19/notebook80df9f2f03", "kernel_id": "238269"}, {"ref": "marquis08/notebook834881ad9c", "kernel_id": "233501"}, {"ref": "theiceman/exploratory-data-analysis", "kernel_id": "212885"}, {"ref": "ganj28/notebook7017bd1164", "kernel_id": "254238"}, {"ref": "ganj28/notebookf5e39f1523", "kernel_id": "251842"}, {"ref": "er9213/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "213977"}, {"ref": "nostradamuslv/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "218648"}, {"ref": "ed5813/notebook6472cd0f4f", "kernel_id": "213891"}, {"ref": "alijs1/xgb-starter-12357", "kernel_id": "215561"}, {"ref": "svesal/testtt", "kernel_id": "276817"}, {"ref": "svesal/asked-me", "kernel_id": "222898"}, {"ref": "mysalt/yy-data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "269099"}, {"ref": "dmitriyab/pandas-model-no-ml-lb-0-356", "kernel_id": "238018"}, {"ref": "ericxu10101/logloss-0-68", "kernel_id": "234049"}, {"ref": "ericxu10101/word2vec-python-summary", "kernel_id": "213307"}, {"ref": "ericxu10101/xgboost-more-features", "kernel_id": "213291"}, {"ref": "mohammadshadan/initial-analysis-using-cosine-similariy", "kernel_id": "418529"}, {"ref": "mvishwali28/data-analysis-xgboost-starter-0-35460-lb-242a36", "kernel_id": "213763"}, {"ref": "zmoustafa/word-match-1", "kernel_id": "213453"}, {"ref": "bowenzhi/lb-0-158-xgb-handcrafted-leaky", "kernel_id": "269236"}, {"ref": "bowenzhi/importance-of-a-linguistic-pre-processing", "kernel_id": "266170"}, {"ref": "rrkc00/notebooka3715be4e8", "kernel_id": "258197"}, {"ref": "ankitgupta7/ftest", "kernel_id": "261230"}, {"ref": "nverma22/notebook48398e537e", "kernel_id": "213849"}, {"ref": "rahulkgp6061/fe-model-stacking-quick-start", "kernel_id": "268003"}, {"ref": "rainasanjay99/notebook15b6607cc0", "kernel_id": "227980"}, {"ref": "rainasanjay99/notebook02c9feb5c2", "kernel_id": "227982"}, {"ref": "theofaure/notebookb660e88da2", "kernel_id": "252536"}, {"ref": "muthusengolan/notebookf1a29b5b3a", "kernel_id": "280866"}, {"ref": "muthusengolan/notebook03d4acf710", "kernel_id": "279015"}, {"ref": "muthusengolan/notebook385a683015", "kernel_id": "278944"}, {"ref": "wutao1530663/data-analysis-xgboost-starter-0-35460-lb-4dd865", "kernel_id": "232226"}, {"ref": "wantedfails/shallow-benchmark-0-31675-lb-1c2a7e", "kernel_id": "268187"}, {"ref": "snellp/similarity-is-not-a-substitute-for-semantics", "kernel_id": "317471"}, {"ref": "balakesavan/nltk-library-for-common-word-and-tfidf-scores", "kernel_id": "303240"}, {"ref": "keivanloo/notebook9dc444b25b", "kernel_id": "248705"}, {"ref": "zhenghuangcheng/question-similarity-using-lstm-embedding", "kernel_id": "265657"}, {"ref": "zhenghuangcheng/quora-my-first-competition-nltk-gensim-doc2vec", "kernel_id": "265610"}, {"ref": "cklwankaggle/notebook69b94ce409", "kernel_id": "214469"}, {"ref": "cklwankaggle/quora-test-1", "kernel_id": "214470"}, {"ref": "sidharthkumar/light-gbm-with-whquest", "kernel_id": "273580"}, {"ref": "shivagangachennnu/quora-question-pairs-final", "kernel_id": "246482"}, {"ref": "shivagangachennnu/qqpairs", "kernel_id": "226907"}, {"ref": "shivagangachennnu/notebook5726e12781", "kernel_id": "224141"}, {"ref": "zckly133/quora-questions-pairs", "kernel_id": "255688"}, {"ref": "dmail44/simple-comparison", "kernel_id": "264580"}, {"ref": "jacobhsiao/data-analysis-xgboost-starter-fork-0-35460-lb", "kernel_id": "263862"}, {"ref": "delta37/kasparyants-technosphere", "kernel_id": "254837"}, {"ref": "delta37/kasparyantsgg-tecnosphere", "kernel_id": "254804"}, {"ref": "delta37/kasparyantsgeorge-v6", "kernel_id": "252351"}, {"ref": "currie32/an-ensemble-approach-cnn-and-timedistributed", "kernel_id": "218548"}, {"ref": "currie32/the-importance-of-cleaning-text", "kernel_id": "221340"}, {"ref": "rahulpatra/notebookd05f9cc527", "kernel_id": "249189"}, {"ref": "duyetdev/notebook2fad29f7bc", "kernel_id": "249111"}, {"ref": "samwhitehill/word2vec-meets-linguistic-preprocessing", "kernel_id": "241630"}, {"ref": "samwhitehill/notebookbd7a20f6e0", "kernel_id": "241664"}, {"ref": "samwhitehill/similarity-techniques-nlp", "kernel_id": "241665"}, {"ref": "ashwanikumar07/test1", "kernel_id": "214038"}, {"ref": "salkaa/ajsjsjsjs", "kernel_id": "225415"}, {"ref": "cyberdreamer/notebook52d2e71999", "kernel_id": "231817"}, {"ref": "goffic/notebookb7dbc3bf53", "kernel_id": "222369"}, {"ref": "shichaopei/first-version-q", "kernel_id": "222839"}, {"ref": "shichaopei/notebook4e446cf07a", "kernel_id": "222837"}, {"ref": "shichaopei/quora-1", "kernel_id": "222841"}, {"ref": "kenshi/notebooka9cccc1a7c", "kernel_id": "236652"}, {"ref": "aggounix/keras-model-with-glove-dataset", "kernel_id": "276928"}, {"ref": "sbguy8703/notebookbce6e5b4ad", "kernel_id": "216909"}, {"ref": "sbguy8703/non-empty-title", "kernel_id": "216915"}, {"ref": "davidfumo/eda-xgb-starter-forked", "kernel_id": "215362"}, {"ref": "davidfumo/nlp-challenge", "kernel_id": "213527"}, {"ref": "davidfumo/xgb-starter-with-feature-engineering", "kernel_id": "235079"}, {"ref": "davidfumo/fuzzy-feature-based-classification", "kernel_id": "235080"}, {"ref": "wertu234/exploring-quora-data-set", "kernel_id": "231000"}, {"ref": "edoarad/can-i-rename-the-title-later", "kernel_id": "213457"}, {"ref": "pierretisseur/xgb-starter-12357", "kernel_id": "244035"}, {"ref": "joshuad2/notebook312701cbfe", "kernel_id": "221614"}, {"ref": "joshuad2/notebook2150055d34", "kernel_id": "222374"}, {"ref": "qvajou/eda-quora-nlp", "kernel_id": "227358"}, {"ref": "gomesbruna/quoraquestiontest", "kernel_id": "258060"}, {"ref": "gomesbruna/quoraquestion3-0", "kernel_id": "258114"}, {"ref": "rojre1979/sample-script1", "kernel_id": "215788"}, {"ref": "mfandreas/notebook04f979195e", "kernel_id": "251617"}, {"ref": "mfandreas/notebookb2742c5751", "kernel_id": "238097"}, {"ref": "gajanangolegaonkar/notebook4c7f4fad7d", "kernel_id": "224227"}, {"ref": "govindd/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "217628"}, {"ref": "iceactor/notebook589dc33c8b", "kernel_id": "249764"}, {"ref": "iceactor/quora", "kernel_id": "248449"}, {"ref": "iceactor/test111", "kernel_id": "244736"}, {"ref": "iceactor/notebook4d1713b0c5", "kernel_id": "253596"}, {"ref": "iceactor/notebook3fcc8fbabe", "kernel_id": "253598"}, {"ref": "ksukmanskaya/notebook81671bbed9", "kernel_id": "223078"}, {"ref": "gunjaagarwal/quora", "kernel_id": "252279"}, {"ref": "shichangtai/experiment1", "kernel_id": "240463"}, {"ref": "lanwu1994/meiyong", "kernel_id": "256238"}, {"ref": "ratnesh88/quora-precdictions", "kernel_id": "231220"}, {"ref": "codingma/data-analysis-xgboost-starter-0-35460-lb-ma", "kernel_id": "213961"}, {"ref": "ragsx123/notebook11257b97ce", "kernel_id": "217778"}, {"ref": "buaashijie/notebookd81974b9ef", "kernel_id": "234411"}, {"ref": "buaashijie/notebook28c1901f98", "kernel_id": "234412"}, {"ref": "moseli/clean-questions", "kernel_id": "231400"}, {"ref": "monkshow/quora-quaestio-pairs-lemmatization", "kernel_id": "231780"}, {"ref": "malapatiravi/notebookfe4589a10d", "kernel_id": "245746"}, {"ref": "frankchen0130/exploring-data", "kernel_id": "213338"}, {"ref": "frankchen0130/xgboot-only", "kernel_id": "227933"}, {"ref": "frankchen0130/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "227872"}, {"ref": "chamstown/lb-0-158-xgb-handcrafted-leaky", "kernel_id": "271387"}, {"ref": "tonychanyt/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "238069"}, {"ref": "tonychanyt/how-many-1-s-are-in-the-public-lb", "kernel_id": "257614"}, {"ref": "troyliu/notebook07d2b069dd", "kernel_id": "215271"}, {"ref": "dupsys/1d-cnn-single-model-score-0-14-0-16-or-0-23", "kernel_id": "280604"}, {"ref": "chestnut3108/notebook17ca3314fd", "kernel_id": "251921"}, {"ref": "ayaseeli/wordcloud", "kernel_id": "213608"}, {"ref": "enishetty/notebooke34c44aa2e", "kernel_id": "213059"}, {"ref": "vishwajeet993511/quora-duplicate-pairs", "kernel_id": "276366"}, {"ref": "vishwajeet993511/quora-duplicate-questions", "kernel_id": "278105"}, {"ref": "vijayasenthil/notebookd3e1ed153a", "kernel_id": "239920"}, {"ref": "tomohirokoike/notebook529c9f317d", "kernel_id": "220205"}, {"ref": "tomohirokoike/notebook426e5c6c27", "kernel_id": "222539"}, {"ref": "tomohirokoike/notebooka5e883c21c", "kernel_id": "213784"}, {"ref": "tomohirokoike/this-is-writing-file-test", "kernel_id": "216456"}, {"ref": "robertoruiz/python-xgb-lb-0-402", "kernel_id": "215171"}, {"ref": "vanyail/ilyin-ivan-technosphere", "kernel_id": "255353"}, {"ref": "vanyail/notebook8aa4137dcd", "kernel_id": "255347"}, {"ref": "premshah/notebook42c025f2de", "kernel_id": "216874"}, {"ref": "premshah/using-word2vec-and-t-sne-for-visualization", "kernel_id": "218459"}, {"ref": "premshah/mean-of-train-as-submission", "kernel_id": "219263"}, {"ref": "premshah/notebook8ee2616973", "kernel_id": "219269"}, {"ref": "premshah/fork-of-using-word2vec-and-t-sne-for-visualization", "kernel_id": "219310"}, {"ref": "pankajb64/notebook4a79dcd397", "kernel_id": "234840"}, {"ref": "shivampanchal/fork-of-fork-of-fork-of-xgb-with-jhaccard-magic", "kernel_id": "269951"}, {"ref": "shivampanchal/keras-starter-script-with-word-embeddings", "kernel_id": "269034"}, {"ref": "plantsgo/notebook10b56a73e6", "kernel_id": "213141"}, {"ref": "lystdo/lstm-with-word2vec-embeddings", "kernel_id": "217147"}, {"ref": "lystdo/lb-0-18-lstm-with-glove-and-magic-features", "kernel_id": "268178"}, {"ref": "yulike/eda-interesting-features-pipeline", "kernel_id": "217790"}, {"ref": "nil68657/notebook99b44bf2f0", "kernel_id": "246042"}, {"ref": "abdellahm/notebookfc4f7a0699", "kernel_id": "242200"}, {"ref": "joecorkerton/notebooka81b0661e7", "kernel_id": "236538"}, {"ref": "joecorkerton/basic-test", "kernel_id": "236570"}, {"ref": "temkahap/khapkinartem-technosphere", "kernel_id": "253962"}, {"ref": "karora/notebookbc94a8650a", "kernel_id": "270828"}, {"ref": "karora/notebook8a9b8d4783", "kernel_id": "213369"}, {"ref": "maxiop/notebook0729bfea53", "kernel_id": "237925"}, {"ref": "maxiop/notebook90f73b84c6", "kernel_id": "237926"}, {"ref": "souravroy/quora-nltk-gensim-doc2vec", "kernel_id": "264048"}, {"ref": "davidprakash/xgb-test", "kernel_id": "220349"}, {"ref": "swombo/jaccard", "kernel_id": "215995"}, {"ref": "stansilas/xgb-over-sampling", "kernel_id": "225373"}, {"ref": "stansilas/notebook89da559433", "kernel_id": "221387"}, {"ref": "hectoranadon/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "222311"}, {"ref": "qianyufeng718/quora-pair-question-identification", "kernel_id": "217556"}, {"ref": "jianxiangwang/workshop", "kernel_id": "212991"}, {"ref": "demesgal/xgb-starter-23-clean-text", "kernel_id": "231686"}, {"ref": "torupallab/quora-eda-model-selection-roc-pr-plots", "kernel_id": "263893"}, {"ref": "waelsalah/notebook2fed658012", "kernel_id": "214306"}, {"ref": "dempton/queeasy", "kernel_id": "215821"}, {"ref": "kanishkapsingh2/notebook823e94ed4f", "kernel_id": "239578"}, {"ref": "czarleonid/notebook86db566ca4", "kernel_id": "259700"}, {"ref": "czarleonid/try-to-win", "kernel_id": "248515"}, {"ref": "zxdatascience/lstm-with-word2vec-embeddings", "kernel_id": "257279"}, {"ref": "hubert0527/spacy-name-entity-recognition", "kernel_id": "257442"}, {"ref": "taniagiri22/notebook1783cb47a5", "kernel_id": "226430"}, {"ref": "taniagiri22/notebook083e0e7957", "kernel_id": "224977"}, {"ref": "taniagiri22/notebook4e19fa77aa", "kernel_id": "224978"}, {"ref": "weilai/notebook9e979fc2f3", "kernel_id": "252253"}, {"ref": "weilai/lttest", "kernel_id": "249501"}, {"ref": "captainrogers/qwerty", "kernel_id": "217551"}, {"ref": "frenchy/xgb-with-whq-jaccard", "kernel_id": "264690"}, {"ref": "frenchy/fork-of-fork-of-fork-of-xgb-with-jhaccard-magic", "kernel_id": "265634"}, {"ref": "anantab/notebook544370f9ec", "kernel_id": "214043"}, {"ref": "xiaopang100/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "222428"}, {"ref": "astrus/importance-of-a-linguistic-pre-processing", "kernel_id": "266336"}, {"ref": "darrellulm/quora-pairs-1st-pass", "kernel_id": "224288"}, {"ref": "darrellulm/quora-interactive-eda-test-run", "kernel_id": "224295"}, {"ref": "darrellulm/quora-test-run-2", "kernel_id": "224296"}, {"ref": "darrellulm/quora-eda-model-selection-roc-pr-plots", "kernel_id": "237588"}, {"ref": "levandos/notebookf731d2778a", "kernel_id": "244109"}, {"ref": "levandos/notebook133b95b3f1", "kernel_id": "247833"}, {"ref": "levandos/notebook2de98be07d", "kernel_id": "253720"}, {"ref": "mikethedataguy/initial-kernel-test-worth-ignoring", "kernel_id": "260474"}, {"ref": "annueka/simple-dt", "kernel_id": "246443"}, {"ref": "velika12/common-unigrams-ratio", "kernel_id": "241368"}, {"ref": "ya1379/1-st-note", "kernel_id": "237112"}, {"ref": "ya1379/notebook35963ef440", "kernel_id": "236941"}, {"ref": "pavs23/notebook5897602b79", "kernel_id": "269480"}, {"ref": "eagle705/notebookccb2a13d47", "kernel_id": "216249"}, {"ref": "sowbarani/quora-question-pairs-eda", "kernel_id": "218582"}, {"ref": "mingkim/notebook0a14405841", "kernel_id": "251113"}, {"ref": "mingkim/notebooke262cb33e7", "kernel_id": "251102"}, {"ref": "mingkim/notebookff80dc234e", "kernel_id": "251103"}, {"ref": "mingkim/notebook68f406bb3d", "kernel_id": "251109"}, {"ref": "mingkim/notebook5159431059", "kernel_id": "251110"}, {"ref": "mingkim/notebook44bbbc4426", "kernel_id": "251120"}, {"ref": "mingkim/quora-question-practice", "kernel_id": "244227"}, {"ref": "xinwu23/notebook63e129f8ab", "kernel_id": "215488"}, {"ref": "xinwu23/simple-exploration-notebook-quora-ques-pair", "kernel_id": "215483"}, {"ref": "kagglezhang/word2vec-meets-linguistic-preprocessing", "kernel_id": "251259"}, {"ref": "fernandocanteruccio/quoras-question-pairs-modeling-notebook", "kernel_id": "214870"}, {"ref": "steverobbins47/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "234739"}, {"ref": "ssahoodotinfinity/notebook78b66db702", "kernel_id": "251888"}, {"ref": "nitees/notebookdbc1c9b695", "kernel_id": "216574"}, {"ref": "matlecam/notebookf87528e488", "kernel_id": "213597"}, {"ref": "nizhikebinesi/semantic-similarity-using-wordnet", "kernel_id": "276809"}, {"ref": "nizhikebinesi/notebookbc519bb0c7", "kernel_id": "244096"}, {"ref": "jatavsandeep/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "234973"}, {"ref": "lin538x/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "218839"}, {"ref": "degraw/quoras-question-pairs-modeling-notebook", "kernel_id": "228624"}, {"ref": "degraw/quoras-question-pairs-sentiment-analysis", "kernel_id": "232609"}, {"ref": "aeron92/notebookc026dfb862", "kernel_id": "224916"}, {"ref": "aeron92/notebookbdd7d52e23", "kernel_id": "224939"}, {"ref": "pan20ir/notebook29fc72d034", "kernel_id": "213314"}, {"ref": "scutalex/quora-eda-model-selection-roc-pr-plots", "kernel_id": "239734"}, {"ref": "scutalex/data-analysis-xgboost-starter-0-35460-lb-ca39b9", "kernel_id": "239730"}, {"ref": "mayday1992/data-analysis-xgboost-starter-0-35460-lb-39c5f9", "kernel_id": "348513"}, {"ref": "mayday1992/data-analysis-xgboost-starter-0-35460-lb-78b6e9", "kernel_id": "348522"}, {"ref": "wernerchao/xgb-with-jhaccard-magic", "kernel_id": "263818"}, {"ref": "wernerchao/notebooke4ebc8656b", "kernel_id": "277107"}, {"ref": "wernerchao/notebook3ca5e714bb", "kernel_id": "270896"}, {"ref": "kgharbi/notebookfce8934ea1", "kernel_id": "269990"}, {"ref": "kgharbi/notebook1c085d98ad", "kernel_id": "269982"}, {"ref": "kgharbi/calculating-the-number-of-words-in-common", "kernel_id": "266620"}, {"ref": "harish5661/notebook0aad366012", "kernel_id": "237376"}, {"ref": "harish5661/notebook08809d78af", "kernel_id": "237150"}, {"ref": "harish5661/quora-random-forest", "kernel_id": "230292"}, {"ref": "harish5661/notebook2e50bca98a", "kernel_id": "231450"}, {"ref": "harish5661/trail-py", "kernel_id": "231733"}, {"ref": "skybolt/notebook528cb615cf", "kernel_id": "245859"}, {"ref": "skybolt/notebookf0d379367b", "kernel_id": "245866"}, {"ref": "skybolt/my-own-notebook", "kernel_id": "246258"}, {"ref": "alexakhbar/notebook08cb7565c0", "kernel_id": "213873"}, {"ref": "yerne39/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "264866"}, {"ref": "yerne39/fork-quora-duplicate-questions", "kernel_id": "264896"}, {"ref": "meniluca/notebook9470dda0ca", "kernel_id": "213335"}, {"ref": "hichamel/data-exploration", "kernel_id": "238169"}, {"ref": "hichamel/notebookadb4f165af", "kernel_id": "244763"}, {"ref": "hichamel/notebook026237cd51", "kernel_id": "247764"}, {"ref": "defeater/importance-of-a-linguistic-pre-processing", "kernel_id": "234964"}, {"ref": "chengzhan/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "255547"}, {"ref": "chengzhan/notebookb08d9078a2", "kernel_id": "265848"}, {"ref": "chengzhan/simple-exploration-notebook-quora-ques-pa-816152", "kernel_id": "267720"}, {"ref": "gianthawk/notebook0d323dbf5f", "kernel_id": "214607"}, {"ref": "gianthawk/quota-questions-explo", "kernel_id": "214608"}, {"ref": "gianthawk/notebook4726672a89", "kernel_id": "214614"}, {"ref": "yonatan365/notebook29fe245f3d", "kernel_id": "223630"}, {"ref": "yonatan365/notebook54c47f16f8", "kernel_id": "240763"}, {"ref": "fppkaggle/check-train-csv-test-csv-vs-local", "kernel_id": "230454"}, {"ref": "fppkaggle/finding-full-duplicates-in-training-set", "kernel_id": "216895"}, {"ref": "fppkaggle/notebook4dd1d91c35", "kernel_id": "214110"}, {"ref": "wisedoge/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "245467"}, {"ref": "rethfro/1d-cnn-single-model-score-0-14-0-16-or-0-23", "kernel_id": "278651"}, {"ref": "migranova/notebookd3c297cef1", "kernel_id": "238906"}, {"ref": "quoniammm/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "269488"}, {"ref": "quoniammm/quora-data-explore", "kernel_id": "273014"}, {"ref": "arnabdey/okayyy", "kernel_id": "272253"}, {"ref": "arnabdey/xgb-with-whq-jaccard", "kernel_id": "244667"}, {"ref": "dorahuang/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "220071"}, {"ref": "callmegoodwin/different-location-questions-032524", "kernel_id": "276830"}, {"ref": "xmj9999/notebook3f2c3d8a43", "kernel_id": "216397"}, {"ref": "xmj9999/starter-for-xgboost", "kernel_id": "216209"}, {"ref": "xmj9999/notebook424e51470f", "kernel_id": "217599"}, {"ref": "xmj9999/notebookcf64938afd", "kernel_id": "217602"}, {"ref": "xmj9999/notebooke9ad966421", "kernel_id": "217480"}, {"ref": "xmj9999/notebook4ecc24523a", "kernel_id": "217942"}, {"ref": "xmj9999/asdfa7777", "kernel_id": "227097"}, {"ref": "xmj9999/notebookcd894e4fcb", "kernel_id": "219548"}, {"ref": "xmj9999/notebook0b5d641cae", "kernel_id": "219549"}, {"ref": "xmj9999/data-analysis-xgboost-starter-0-35460-lb-a9951c", "kernel_id": "220395"}, {"ref": "younestyle/notebookf25d0ad7dc", "kernel_id": "221198"}, {"ref": "ninblack/notebook2ed9c192a1", "kernel_id": "213107"}, {"ref": "h1015b/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "220990"}, {"ref": "h1015b/notebook66232b9325", "kernel_id": "220898"}, {"ref": "h1015b/notebook4e2922164b", "kernel_id": "220918"}, {"ref": "h1015b/notebook2743fd542a", "kernel_id": "220921"}, {"ref": "h1015b/notebook8eb9326123", "kernel_id": "220808"}, {"ref": "h1015b/notebook430705ecae", "kernel_id": "220844"}, {"ref": "vishwanigupta/notebookc85585727e", "kernel_id": "223230"}, {"ref": "kpap1234/notebookb406c53e94", "kernel_id": "221751"}, {"ref": "intelpen/lb-0-18-lstm-with-glove-and-magic-features222", "kernel_id": "268504"}, {"ref": "ozeron/myfirst-script", "kernel_id": "229634"}, {"ref": "yuchunchien/fuzz-feature", "kernel_id": "232345"}, {"ref": "yuchunchien/notebooka02d1773f6", "kernel_id": "243456"}, {"ref": "iamyizhen/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "256819"}, {"ref": "negirakesh0504/quora-stringdist-package", "kernel_id": "268063"}, {"ref": "aaronlei/notebook60c98e1f68", "kernel_id": "213473"}, {"ref": "rosettast/notebook5deabb37e6", "kernel_id": "234360"}, {"ref": "suchravi/notebook47f177090b", "kernel_id": "214154"}, {"ref": "gugzkumar/explore-quora", "kernel_id": "244346"}, {"ref": "ntltam/notebook205e0b34b1", "kernel_id": "213481"}, {"ref": "ntltam/notebook83c5278de7", "kernel_id": "213484"}, {"ref": "kriszhang/notebook819491cb7c", "kernel_id": "216652"}, {"ref": "dmikrav/quora-sol", "kernel_id": "267355"}, {"ref": "dmikrav/quora-solution", "kernel_id": "266625"}, {"ref": "muxiang/data-analysis-xgboost-starter-0-35460-lb-443757", "kernel_id": "213952"}, {"ref": "muxiang/notebook0918c2bb6f", "kernel_id": "213943"}, {"ref": "kayarjun/notebookf5c4909518", "kernel_id": "239214"}, {"ref": "csvreel/quora", "kernel_id": "218652"}, {"ref": "csvreel/random", "kernel_id": "231782"}, {"ref": "ajaykumarmvk0712/cosine-similarity-attempt-2", "kernel_id": "246217"}, {"ref": "ajaykumarmvk0712/notebook16584b1eae", "kernel_id": "246206"}, {"ref": "ajaykumarmvk0712/my-notebook", "kernel_id": "240363"}, {"ref": "vijayakapoor/random-forest-prediction-using-4-variables", "kernel_id": "249870"}, {"ref": "ankushreddy/notebookedc91ee372", "kernel_id": "213541"}, {"ref": "pachinko/notebook74f3b530a4", "kernel_id": "222159"}, {"ref": "pachinko/notebook327f46ae50", "kernel_id": "251764"}, {"ref": "pachinko/notebookd2e482f8c4", "kernel_id": "251712"}, {"ref": "pachinko/lb-0-18-lstm-with-glove-and-magic-features", "kernel_id": "269647"}, {"ref": "imtoobose/notebook25f7f94fcc", "kernel_id": "260748"}, {"ref": "lundeee/notebookc50bc4a2cd", "kernel_id": "213233"}, {"ref": "lundeee/notebooke9f31432cd", "kernel_id": "213234"}, {"ref": "lundeee/notebook2640d4bf10", "kernel_id": "213245"}, {"ref": "tilakd/exploration-using-word2vec-and-tsne", "kernel_id": "213499"}, {"ref": "konstantinfirst/lstm-with-word2vec-embeddings", "kernel_id": "265125"}, {"ref": "sonnguyen1995/quora-my-first-competition-nltk-gensim-doc2vec", "kernel_id": "264511"}, {"ref": "sroodhorst/testscript", "kernel_id": "213316"}, {"ref": "sanjay1995/notebook21c6c7d2b7", "kernel_id": "228171"}, {"ref": "vivipengpeng/notebook09ebe6275e", "kernel_id": "263061"}, {"ref": "wt2ding/notebook38718911d1", "kernel_id": "213467"}, {"ref": "wt2ding/starter", "kernel_id": "213469"}, {"ref": "oskarvdb/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "259493"}, {"ref": "jaijanyani/notebookb3821e48b2", "kernel_id": "235136"}, {"ref": "xd1234/notebooka32bcacc3a", "kernel_id": "226462"}, {"ref": "nguyenchinhbk/cnn-sentence-pair", "kernel_id": "754587"}, {"ref": "mwizasimbeye11/quora", "kernel_id": "221258"}, {"ref": "gvenkatasaik/notebook1d18911e60", "kernel_id": "216959"}, {"ref": "ayanmaity/quora-similarity-test", "kernel_id": "421600"}, {"ref": "prashant10/simplexgb", "kernel_id": "535236"}, {"ref": "girishsonar99/notebookfb4cf48885", "kernel_id": "219687"}, {"ref": "illegalplumbing/notebooke1dc87c6be", "kernel_id": "226825"}, {"ref": "jamessargeant/notebookb9933b1f1f", "kernel_id": "218480"}, {"ref": "brianyu/brian-test", "kernel_id": "217978"}, {"ref": "sieunjeon/notebook13b7c8d116", "kernel_id": "218831"}, {"ref": "rakgow/notebooka2624e35b0", "kernel_id": "218634"}, {"ref": "suchitgupta60/magic-features", "kernel_id": "258699"}, {"ref": "tanakajp/notebook8e56ca5eb3", "kernel_id": "216496"}, {"ref": "tanakajp/notebook84dea05837", "kernel_id": "224670"}, {"ref": "tanakajp/tanaka-test", "kernel_id": "223727"}, {"ref": "tanakajp/notebook677d8a9cea", "kernel_id": "223728"}, {"ref": "tanakajp/notebookbf7e8486b3", "kernel_id": "223725"}, {"ref": "moha1234/exploratory-analysis", "kernel_id": "227388"}, {"ref": "anu0012/quora-competition-script", "kernel_id": "254225"}, {"ref": "wirthdrew/notebook2f3f24d953", "kernel_id": "244435"}, {"ref": "wirthdrew/notebook9c93c5b166", "kernel_id": "242343"}, {"ref": "wirthdrew/notebook24842779dc", "kernel_id": "239516"}, {"ref": "lzhang96/notebook16758f3b00", "kernel_id": "215412"}, {"ref": "chungjsm/notebookbe4c9b6491", "kernel_id": "244437"}, {"ref": "act444/lb-0-158-xgb-handcrafted-leaky", "kernel_id": "268428"}, {"ref": "knittala/notebook6a5b9cee62", "kernel_id": "215886"}, {"ref": "knittala/quora-v20170317", "kernel_id": "213704"}, {"ref": "vaibhavdesai/notebookcae0e1e23d", "kernel_id": "256973"}, {"ref": "vaibhavdesai/notebook46eb8e5985", "kernel_id": "256938"}, {"ref": "vaibhavdesai/notebook7a7dcd3b57", "kernel_id": "256989"}, {"ref": "leitasat/notebook29f2a92661", "kernel_id": "242798"}, {"ref": "shwetak91/notebook0eb98334b3", "kernel_id": "214450"}, {"ref": "shwetak91/notebook6e2befd854", "kernel_id": "214451"}, {"ref": "udaysa/notebook91e53a72a9", "kernel_id": "219327"}, {"ref": "furutani/notebook79095d5e9f", "kernel_id": "253020"}, {"ref": "louisjier/notebookc7bf3683ef", "kernel_id": "215156"}, {"ref": "wuwuss/notebook716c5fb191", "kernel_id": "217592"}, {"ref": "gautamworah/notebooke57bca3925", "kernel_id": "212906"}, {"ref": "gautamworah/notebookb924bf00b8", "kernel_id": "212907"}, {"ref": "power17/introduction-to-data-science", "kernel_id": "255692"}, {"ref": "nkainiisc/quora-random-forest", "kernel_id": "231464"}, {"ref": "emsiak/what-s-in-it-for-me", "kernel_id": "215613"}, {"ref": "qianteng/notebook872cb72a27", "kernel_id": "247658"}, {"ref": "remidelbouys/notebookc91e3f6b1e", "kernel_id": "228064"}, {"ref": "manishsaraswat/notebook9e8fdd70cb", "kernel_id": "253842"}, {"ref": "matheronkaggler/quora-lstm", "kernel_id": "248268"}, {"ref": "datasree/q-att1", "kernel_id": "214844"}, {"ref": "stefantaubert/data-analysis-xgboost-starter", "kernel_id": "224659"}, {"ref": "stefantaubert/quora-question-pairs-nlp", "kernel_id": "256027"}, {"ref": "aymenmouelhi/quora-duplicate-questions", "kernel_id": "217875"}, {"ref": "kartinator/notebook77c247299b", "kernel_id": "270695"}, {"ref": "kiralt/determining-quora-question-duplicates", "kernel_id": "262304"}, {"ref": "monkebai/lstm-with-word2vec-embeddings", "kernel_id": "256233"}, {"ref": "tranguyen/notebook4fdda2c45a", "kernel_id": "219023"}, {"ref": "tranguyen/notebook8e50445d79", "kernel_id": "214709"}, {"ref": "tranguyen/notebookc0094916b9", "kernel_id": "213274"}, {"ref": "tranguyen/data-processing", "kernel_id": "213222"}, {"ref": "tranguyen/notebooka16b1dfd57", "kernel_id": "213220"}, {"ref": "haniov/notebook51e077bab1", "kernel_id": "226389"}, {"ref": "greg9382/notebookb540a624bb", "kernel_id": "276371"}, {"ref": "harshrat/notebook855f8b7425", "kernel_id": "225538"}, {"ref": "kinnz10/quora-pbm", "kernel_id": "264582"}, {"ref": "ferdose/hello", "kernel_id": "213884"}, {"ref": "moukafih/notebookf5d6f09989", "kernel_id": "233854"}, {"ref": "moukafih/notebook39fc65edb1", "kernel_id": "233849"}, {"ref": "moukafih/notebookb0ccd0ddf5", "kernel_id": "234786"}, {"ref": "plarmuseau/an-interesting-solution", "kernel_id": "229446"}, {"ref": "plarmuseau/transfer-learning-with-word", "kernel_id": "220400"}, {"ref": "plarmuseau/transferlearning-1", "kernel_id": "218633"}, {"ref": "plarmuseau/false-negatives-in-training-set", "kernel_id": "267292"}, {"ref": "plarmuseau/playing-with-forked-kernel", "kernel_id": "267371"}, {"ref": "plarmuseau/tfidf-svd-xgboost-needs-32mb", "kernel_id": "268459"}, {"ref": "plarmuseau/can-we-see-an-evolution-in-quora-train-data", "kernel_id": "269151"}, {"ref": "plarmuseau/similarity-techniques-nlp", "kernel_id": "268887"}, {"ref": "plarmuseau/3gram-tfidf-svd-xgboost", "kernel_id": "270418"}, {"ref": "plarmuseau/magic-feature-v2-0-045-gain", "kernel_id": "271332"}, {"ref": "plarmuseau/tempbook", "kernel_id": "276561"}, {"ref": "plarmuseau/bi-jaccard-jaro-winkler", "kernel_id": "259986"}, {"ref": "plarmuseau/jacquard-with-stemming-tagging-stopwords", "kernel_id": "259145"}, {"ref": "plarmuseau/finding-most-similar-questions", "kernel_id": "254732"}, {"ref": "plarmuseau/fork-of-finding-most-similar-questions", "kernel_id": "254791"}, {"ref": "plarmuseau/false-negative-or-short-questionpairs-in-trainings", "kernel_id": "234324"}, {"ref": "plarmuseau/semantic-similarity-for-short-sentences", "kernel_id": "235017"}, {"ref": "plarmuseau/false-negatives-questionpairs-in-trainingset", "kernel_id": "234145"}, {"ref": "plarmuseau/q-wordnet-v3", "kernel_id": "231060"}, {"ref": "plarmuseau/pure-tfidf-model-score-lb0-5-binary-answer-lb-11", "kernel_id": "238590"}, {"ref": "plarmuseau/fork-of-fork-of-semantic-similarity-for-short-sent", "kernel_id": "236523"}, {"ref": "plarmuseau/informationgain", "kernel_id": "236674"}, {"ref": "plarmuseau/fork-of-semantic-similarity-for-short-sentences", "kernel_id": "236027"}, {"ref": "plarmuseau/unusual-words-garbage", "kernel_id": "237702"}, {"ref": "plarmuseau/fork-of-pure-tfidf-model-score-lb0-5-binary-answer", "kernel_id": "245332"}, {"ref": "plarmuseau/question-exists-testing-script-70-not-found", "kernel_id": "245780"}, {"ref": "plarmuseau/help-needed-with-xgboost", "kernel_id": "252221"}, {"ref": "plarmuseau/find-quora-on-google-70-of-questions-are-fake", "kernel_id": "247742"}, {"ref": "plarmuseau/playing-with-anokas-xgboost-starter-0-35460-lb", "kernel_id": "247867"}, {"ref": "plarmuseau/fork-of-pure-tfidf-model-bigrammed", "kernel_id": "248693"}, {"ref": "chennudexter/notebook98ee82dc02", "kernel_id": "217880"}, {"ref": "kaehden/example", "kernel_id": "254667"}, {"ref": "kaehden/data-analysis-xgboost-starter-0-35460-lb-fork", "kernel_id": "254668"}, {"ref": "dmis87/notebook4ef5c991ef", "kernel_id": "220284"}, {"ref": "mttzju/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "232258"}, {"ref": "mttzju/quora-eda-model-selection-roc-pr-plots", "kernel_id": "232223"}, {"ref": "mttzju/notebook8e1ef2e4e1", "kernel_id": "234330"}, {"ref": "mttzju/001notebook-erin", "kernel_id": "215404"}, {"ref": "mttzju/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "215663"}, {"ref": "mttzju/data-analysis-xgboost-starter-0-35460-lb-4c9eee", "kernel_id": "217215"}, {"ref": "jasonzhj/notebook22efbf37ba", "kernel_id": "244765"}, {"ref": "wesleyshi/notebookc25a886538", "kernel_id": "227764"}, {"ref": "popyy0101/test-kernel", "kernel_id": "278425"}, {"ref": "giuseppemerendino/first-model-with-pytorch", "kernel_id": "244645"}, {"ref": "panser/skiba-gleb-tf-idf-for-quora-technosphere", "kernel_id": "253345"}, {"ref": "rganapathy/notebook5fa1610e87", "kernel_id": "252322"}, {"ref": "rganapathy/notebookb48e91c6ad", "kernel_id": "252323"}, {"ref": "pedrolcn/first-analysis", "kernel_id": "269918"}, {"ref": "chenliang19912/data-analysis-xgboost-starter-0-35460-lb-b54cc1", "kernel_id": "244010"}, {"ref": "lshm586/notebook2a94ecf58d", "kernel_id": "215291"}, {"ref": "marsiik/konstantintesker-technosphere", "kernel_id": "253894"}, {"ref": "demoon/different-location-questions", "kernel_id": "264150"}, {"ref": "zigawick/first-try", "kernel_id": "253674"}, {"ref": "zigawick/belozerov-sphere", "kernel_id": "253884"}, {"ref": "boseperumal/notebook67cbe6a96d", "kernel_id": "220839"}, {"ref": "boseperumal/notebook0c1b00c3da", "kernel_id": "224782"}, {"ref": "boseperumal/notebook7d7225992d", "kernel_id": "217411"}, {"ref": "amer0000/notebooka57034648e", "kernel_id": "217743"}, {"ref": "amer0000/notebook33ded6f5a8", "kernel_id": "218143"}, {"ref": "itnasssss/data-analysis-xgboost-starter-santi", "kernel_id": "258671"}, {"ref": "itnasssss/data-analysis-xgboost-starter", "kernel_id": "257638"}, {"ref": "itnasssss/data-analysis-xgboost-starter-0-35460-lb-bcd49f", "kernel_id": "257641"}, {"ref": "rafieian/notebook86ed74528a", "kernel_id": "224417"}, {"ref": "rafieian/notebook2d6e2f41d9", "kernel_id": "224793"}, {"ref": "techaware/explore-quora-question-pairs", "kernel_id": "228987"}, {"ref": "techaware/notebookb659dcddf3", "kernel_id": "228993"}, {"ref": "techaware/quora-1", "kernel_id": "244886"}, {"ref": "osirisyl/notebook375f407973", "kernel_id": "239529"}, {"ref": "osirisyl/notebook4f58688b47", "kernel_id": "239545"}, {"ref": "osirisyl/notebook9475f05648", "kernel_id": "236172"}, {"ref": "osirisyl/notebook3d89e0b093", "kernel_id": "235325"}, {"ref": "rossrco/similarity-is-not-a-substitute-for-semantics", "kernel_id": "235866"}, {"ref": "diman3589/notebooke91257d945", "kernel_id": "248239"}, {"ref": "mithax/notebookefc2aff2ea", "kernel_id": "251785"}, {"ref": "czfshine/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "223003"}, {"ref": "sindhu31p/sindhu", "kernel_id": "213312"}, {"ref": "boberm/test-kernel", "kernel_id": "277152"}, {"ref": "pcpathik/trial", "kernel_id": "214769"}, {"ref": "golthitarun/quora-question-pairs", "kernel_id": "221491"}, {"ref": "caoqian/notebook44051cffcc", "kernel_id": "218497"}, {"ref": "caoqian/20170404", "kernel_id": "227004"}, {"ref": "ktsantinis/notebookbe38d26ea2", "kernel_id": "224176"}, {"ref": "xxmuyu/notebook506a149483", "kernel_id": "217324"}, {"ref": "xxmuyu/notebook54e337bf7b", "kernel_id": "216608"}, {"ref": "xxmuyu/zhaochu-chacigeshu", "kernel_id": "216365"}, {"ref": "xxmuyu/notebookbce17bf849", "kernel_id": "215406"}, {"ref": "kevinbonnes/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "218240"}, {"ref": "n30l4t3r4l/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "216602"}, {"ref": "abhiramgandhe/notebook2d00cb9e01", "kernel_id": "248854"}, {"ref": "rogachev/notebookb4aa47726b", "kernel_id": "256465"}, {"ref": "rogachev/testing", "kernel_id": "253475"}, {"ref": "medivhc/data-analysis-xgboost-starter", "kernel_id": "245403"}, {"ref": "ivalnic/notebookd9b8445fe9", "kernel_id": "243289"}, {"ref": "xushengyao/notebook1a34af23d4", "kernel_id": "216234"}, {"ref": "xushengyao/notebook0250203c8f", "kernel_id": "218128"}, {"ref": "xushengyao/notebookf54a8a6eea", "kernel_id": "218136"}, {"ref": "xushengyao/notebookcb0972a59f", "kernel_id": "217262"}, {"ref": "xushengyao/notebookb04d11c3f8", "kernel_id": "217259"}, {"ref": "xushengyao/letmetryyitry", "kernel_id": "223828"}, {"ref": "xushengyao/123123123123123123123123113", "kernel_id": "223764"}, {"ref": "vladiz/notebook65f31b26bb", "kernel_id": "235295"}, {"ref": "prateekgarbyal/notebook2cd2af0c57", "kernel_id": "224616"}, {"ref": "flpxiao/trying-for-fun", "kernel_id": "230203"}, {"ref": "mohaoran/notebook39c7272c3c", "kernel_id": "214101"}, {"ref": "blackbear2017/fork-of-quick-guide-for-making-0-10112-score-techn", "kernel_id": "253921"}, {"ref": "blackbear2017/quick-guide-for-making-0-10112-score-technosphere", "kernel_id": "253289"}, {"ref": "igetii/shallow-benchmark-0-31675-lb", "kernel_id": "253086"}, {"ref": "igetii/galitskiyigor-technosphere", "kernel_id": "248439"}, {"ref": "iamthesenate/petrenkoivan-technosphere", "kernel_id": "254652"}, {"ref": "iamthesenate/petrenkolvan-technosphere", "kernel_id": "255140"}, {"ref": "iamthesenate/notebook2ca82272db", "kernel_id": "255133"}, {"ref": "iamthesenate/notebook25c042e940", "kernel_id": "255136"}, {"ref": "cookieshake/notebookafc48079b3", "kernel_id": "220863"}, {"ref": "vadimpilyugin/notebook5fc2292354", "kernel_id": "255270"}, {"ref": "dxt910922/trying-things", "kernel_id": "251822"}, {"ref": "dxt910922/notebookb3dff0d61b", "kernel_id": "251809"}, {"ref": "dxt910922/notebookedab6e0d58", "kernel_id": "251875"}, {"ref": "dxt910922/notebookee783ad969", "kernel_id": "251877"}, {"ref": "dxt910922/notebookfca8161773", "kernel_id": "251880"}, {"ref": "cwahbong/notebook1055ad0ea6", "kernel_id": "213037"}, {"ref": "zhangjb/simple-leaky-exploration-notebook-quora", "kernel_id": "286918"}, {"ref": "apjansing/gensim-word2vec-distance-predictions", "kernel_id": "221562"}, {"ref": "chandinialva/notebookc23403b80d", "kernel_id": "214954"}, {"ref": "guoxiu/my-try-by-using-rnn", "kernel_id": "223558"}, {"ref": "show1053508306/notebook76d23c113f", "kernel_id": "223772"}, {"ref": "shamatar/notebooke8c81e9252", "kernel_id": "220660"}, {"ref": "zhengrui/notebook3fae61b434", "kernel_id": "218312"}, {"ref": "merciful/notebookd237deea2d", "kernel_id": "227403"}, {"ref": "ftmdgn/notebook22abbbeca3", "kernel_id": "214171"}, {"ref": "cqutzh/notebookd69efcaad6", "kernel_id": "214503"}, {"ref": "cqutzh/notebook317eb28a08", "kernel_id": "214481"}, {"ref": "cqutzh/notebook7f41ca267c", "kernel_id": "214458"}, {"ref": "cqutzh/notebookd40ec81142", "kernel_id": "214440"}, {"ref": "cqutzh/notebook041f764e54", "kernel_id": "214539"}, {"ref": "alcren/data-analysis-xgboost-starter-0-35460-lb-516c21", "kernel_id": "257530"}, {"ref": "alcren/xgb-with-whq-jaccard", "kernel_id": "259533"}, {"ref": "viveks716/notebook1205c64e01", "kernel_id": "271712"}, {"ref": "viveks716/data-analysis-xgboost-starter-0-35460-lb-33f4e0", "kernel_id": "277964"}, {"ref": "stevewen/notebook858f00bb03", "kernel_id": "239065"}, {"ref": "stevewen/notebookbd71a07778", "kernel_id": "241169"}, {"ref": "stevewen/notebook4c13e7597a", "kernel_id": "230634"}, {"ref": "minininjia/test123", "kernel_id": "226016"}, {"ref": "minininjia/notebook558f4bfacc", "kernel_id": "226271"}, {"ref": "minininjia/first-shot", "kernel_id": "221951"}, {"ref": "minininjia/test-submit", "kernel_id": "222008"}, {"ref": "gaoshu/shallow-benchmark-0-31675-lb", "kernel_id": "254260"}, {"ref": "gaoshu/test0508", "kernel_id": "254484"}, {"ref": "gaoshu/notebook1eaea5cd91", "kernel_id": "221781"}, {"ref": "zunming/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "215339"}, {"ref": "aneeshc/wordmatchminlogloss", "kernel_id": "218146"}, {"ref": "aneeshc/fuzzy-feature-based-classification", "kernel_id": "222922"}, {"ref": "jay960702/visualizing-word-vectors-with-t-sne", "kernel_id": "215506"}, {"ref": "naveenkumaar/naveen", "kernel_id": "254276"}, {"ref": "naveenkumaar/wordcloud-visualization", "kernel_id": "253648"}, {"ref": "naveenkumaar/naveen-quora", "kernel_id": "253651"}, {"ref": "majortal/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "216910"}, {"ref": "squidishdatanaut/notebook3cc70484e1", "kernel_id": "218269"}, {"ref": "squidishdatanaut/fork-of-latent-semantic-analysis-script", "kernel_id": "239794"}, {"ref": "squidishdatanaut/latent-semantic-analysis", "kernel_id": "234036"}, {"ref": "squidishdatanaut/latent-semantic-analysis-script", "kernel_id": "234038"}, {"ref": "squidishdatanaut/notebook6609e445d3", "kernel_id": "232908"}, {"ref": "squidishdatanaut/notebook61ec0a2518", "kernel_id": "232909"}, {"ref": "jiajiajia/outputtokens", "kernel_id": "243117"}, {"ref": "jiajiajia/test-tfidf-1", "kernel_id": "243419"}, {"ref": "jiajiajia/testtokens", "kernel_id": "242421"}, {"ref": "shanmugamvallam/quora-question-duplicate", "kernel_id": "237283"}, {"ref": "aakaar/notebook06b63b7b3d", "kernel_id": "216424"}, {"ref": "ravishukla26/inspired", "kernel_id": "218988"}, {"ref": "evashen123/clean-your-questions", "kernel_id": "220322"}, {"ref": "evashen123/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "219764"}, {"ref": "evashen123/unusual-meaning-map", "kernel_id": "223848"}, {"ref": "evashen123/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "216727"}, {"ref": "evashen123/data-analysis-xgboost-starter-0-35460-lb-4a4ebd", "kernel_id": "218452"}, {"ref": "swhite4han/spacy-name-entity-recognition", "kernel_id": "260265"}, {"ref": "dddpppccc/tryzxcz", "kernel_id": "221599"}, {"ref": "dddpppccc/notebook077e41f3f7", "kernel_id": "221673"}, {"ref": "kearnsw/notebook7fc72b99c5", "kernel_id": "232001"}, {"ref": "openxxx/notebook22f39467df", "kernel_id": "224652"}, {"ref": "openxxx/openxxx-0", "kernel_id": "224649"}, {"ref": "fernandoafb/data-analysis-xgboost-starter-0-35460-lb-1d4e35", "kernel_id": "217618"}, {"ref": "zhoudaoyu/notebook46b11af1f5", "kernel_id": "218806"}, {"ref": "zhoudaoyu/notebookbd72939871", "kernel_id": "218812"}, {"ref": "zhoudaoyu/notebook9131ef8374", "kernel_id": "220755"}, {"ref": "zhoudaoyu/notebookd378ff01b3", "kernel_id": "220760"}, {"ref": "zhoudaoyu/notebook5cc0d7f3b3", "kernel_id": "224299"}, {"ref": "zhoudaoyu/notebookcf6404f1ea", "kernel_id": "222906"}, {"ref": "zhoudaoyu/notebook26c8d0cbc8", "kernel_id": "222750"}, {"ref": "bschen/notebook2f75f80cc2", "kernel_id": "223820"}, {"ref": "maikou/notebook2787a9f694", "kernel_id": "223760"}, {"ref": "maikou/sun-quora-study", "kernel_id": "223762"}, {"ref": "yuetenghu/notebookada7d935da", "kernel_id": "222835"}, {"ref": "maitree/notebook800bc57d88", "kernel_id": "254580"}, {"ref": "maitree/quora-duplicate-questions-using-r", "kernel_id": "254583"}, {"ref": "zhuoch/dddddd", "kernel_id": "228708"}, {"ref": "zhuoch/notebookf3cfa85d16", "kernel_id": "223729"}, {"ref": "zhuoch/data-analysis-xgboost-starter-0-35460-lb-66854a", "kernel_id": "221039"}, {"ref": "nand2578/notebook7375a279a5", "kernel_id": "222714"}, {"ref": "hemraj/question-similarity-using-lstm-embedding", "kernel_id": "225884"}, {"ref": "daniellz/notebook57381dfeaa", "kernel_id": "241105"}, {"ref": "daniellz/notebooka4677901df", "kernel_id": "237421"}, {"ref": "linqin84/notebook7bccc8f5a0", "kernel_id": "223823"}, {"ref": "linqin84/print-3", "kernel_id": "223800"}, {"ref": "linqin84/notebook985d6eca91", "kernel_id": "223788"}, {"ref": "linqin84/notebook596a6517da", "kernel_id": "225401"}, {"ref": "linqin84/notebook6a78b7943b", "kernel_id": "228735"}, {"ref": "mounika45/notebook0f19651391", "kernel_id": "254641"}, {"ref": "mounika45/notebook180da8b912", "kernel_id": "254661"}, {"ref": "zhuanzhuan555/notebook1e3d1ffcc2", "kernel_id": "223611"}, {"ref": "cyhyxy320/notebook7b1f90dab1", "kernel_id": "223714"}, {"ref": "liuxiao1028/dl-models", "kernel_id": "283621"}, {"ref": "liuxiao1028/magic-features-0-03-gain", "kernel_id": "255909"}, {"ref": "liuxiao1028/quick-guide-for-making-0-10112-score-technosphere", "kernel_id": "255912"}, {"ref": "liuxiao1028/visualizing-word-vectors-with-t-sne", "kernel_id": "237130"}, {"ref": "liuxiao1028/my-notebook", "kernel_id": "218807"}, {"ref": "amerbasatna/notebook188aad3068", "kernel_id": "219037"}, {"ref": "amerbasatna/my-first-scribt", "kernel_id": "219042"}, {"ref": "cznch1007/notebook2e0b1f53da", "kernel_id": "223337"}, {"ref": "cznch1007/notebook8842b67dd7", "kernel_id": "223338"}, {"ref": "cznch1007/notebook2110a48369", "kernel_id": "223449"}, {"ref": "cznch1007/copy-test", "kernel_id": "223787"}, {"ref": "cznch1007/notebooke2aeb6bb4e", "kernel_id": "223775"}, {"ref": "yr2017/notebookea558a8511", "kernel_id": "221097"}, {"ref": "yr2017/notebook894357c381", "kernel_id": "223715"}, {"ref": "kexiter/fst-try", "kernel_id": "220374"}, {"ref": "kexiter/notebookd6d12914b1", "kernel_id": "220378"}, {"ref": "kexiter/profiling", "kernel_id": "220381"}, {"ref": "kexiter/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "223746"}, {"ref": "benkite/sequence-matching-of-questions", "kernel_id": "221243"}, {"ref": "pgn1654/notebookf4c41c5a25", "kernel_id": "221915"}, {"ref": "mooner/unusual-meaning-map", "kernel_id": "263926"}, {"ref": "aaronosb/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "222454"}, {"ref": "benniao/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "221759"}, {"ref": "benniao/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "222415"}, {"ref": "nandiniviswanathan/notebook926e8e28dc", "kernel_id": "237396"}, {"ref": "iraychou/quora-question-pairs-by-rdc-v1-0", "kernel_id": "222086"}, {"ref": "codebreaker1/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "438296"}, {"ref": "sharmavivek2507/quora-question-pairs-vivek-sharma", "kernel_id": "222535"}, {"ref": "tinkleing/start-of-this-competition", "kernel_id": "222867"}, {"ref": "tinkleing/feature-test", "kernel_id": "230188"}, {"ref": "tinkleing/matching-que-for-quora-end-to-end-0-33719-pb", "kernel_id": "230209"}, {"ref": "yobobobo002/notebook98a7d7f557", "kernel_id": "230184"}, {"ref": "chenjianzhou/whiplash-quora-question-pairs", "kernel_id": "223739"}, {"ref": "chenjianzhou/notebook86803973e4", "kernel_id": "223724"}, {"ref": "chenjianzhou/import-nltk-import-xgboost-as-xgb", "kernel_id": "233782"}, {"ref": "xelast/notebooke3256bbe86", "kernel_id": "228903"}, {"ref": "mzr2017/simple-exploration-notebook-quora-ques-pair", "kernel_id": "260128"}, {"ref": "e644802920/fuck-yxw", "kernel_id": "223695"}, {"ref": "e644802920/notebook4a05d8065a", "kernel_id": "226788"}, {"ref": "ifung21/notebook8d333e35ee", "kernel_id": "223740"}, {"ref": "ifung21/caonide", "kernel_id": "223748"}, {"ref": "ifung21/notebook64d51f0baf", "kernel_id": "223765"}, {"ref": "ifung21/notebookfcba9f959e", "kernel_id": "238922"}, {"ref": "ifung21/pilou", "kernel_id": "238982"}, {"ref": "ifung21/pilouasbaek", "kernel_id": "238975"}, {"ref": "ifung21/testss", "kernel_id": "233816"}, {"ref": "wangxuan0529/notebookc9fa5a7818", "kernel_id": "223767"}, {"ref": "wangxuan0529/notebook747e0e351f", "kernel_id": "223770"}, {"ref": "knightericz/notebook6380c92c23", "kernel_id": "233827"}, {"ref": "salmonvicky/notebook7e8700c211", "kernel_id": "266231"}, {"ref": "dingxinmin/notebook092feb09d4", "kernel_id": "223784"}, {"ref": "dingxinmin/notebookcc491293de", "kernel_id": "223786"}, {"ref": "dingxinmin/notebook2988166e3a", "kernel_id": "227149"}, {"ref": "dingxinmin/notebook36718c330e", "kernel_id": "228706"}, {"ref": "gabrielwang/notebookbce699a832", "kernel_id": "223791"}, {"ref": "gabrielwang/notebookf866c81fac", "kernel_id": "223792"}, {"ref": "zhanglimei/notebook46a42b7859", "kernel_id": "223812"}, {"ref": "ukarda/quora-basic-try", "kernel_id": "224733"}, {"ref": "ukarda/fork-of-quora-question", "kernel_id": "225895"}, {"ref": "sergotail/notebook7914d695a7", "kernel_id": "256300"}, {"ref": "sergotail/notebook59d2a6a7ea", "kernel_id": "256293"}, {"ref": "sergotail/quora-question-pair-kernel", "kernel_id": "256295"}, {"ref": "sergotail/quora-question-pairs-kernel", "kernel_id": "256310"}, {"ref": "netzsooc/quoraquestionpair-netzsooc", "kernel_id": "224330"}, {"ref": "elliottyan/fork-of-notebooke99d6de61e", "kernel_id": "276175"}, {"ref": "elliottyan/notebooke99d6de61e", "kernel_id": "275947"}, {"ref": "elliottyan/notebook7bd2aa761b", "kernel_id": "275925"}, {"ref": "elliottyan/fork-of-fork-of-my-quora-script", "kernel_id": "275779"}, {"ref": "elliottyan/fork-of-my-quora-script", "kernel_id": "275689"}, {"ref": "elliottyan/notebook3a14d68cef", "kernel_id": "259484"}, {"ref": "elliottyan/my-quora-script", "kernel_id": "259674"}, {"ref": "vaibhavvrg/dmbiscript", "kernel_id": "238105"}, {"ref": "atcdo1/notebook13f25d2a9b", "kernel_id": "227518"}, {"ref": "maysunyoung/notebook0b9c5f2f4f", "kernel_id": "228837"}, {"ref": "andresmechali/notebook9f4ecd3ae8", "kernel_id": "229537"}, {"ref": "susmithamanda/notebook4e6ce517b2", "kernel_id": "226968"}, {"ref": "susmithamanda/notebook57dec83e34", "kernel_id": "226997"}, {"ref": "mrpolitegrizly/notebookf38751d866", "kernel_id": "242623"}, {"ref": "andreykapelushnikov/notebooka4a26d96bd", "kernel_id": "279075"}, {"ref": "nachen/notebook500b42535d", "kernel_id": "228319"}, {"ref": "anacarolina/notebook95d4cee10f", "kernel_id": "227571"}, {"ref": "komthanh/notebook74df5b8d98", "kernel_id": "228174"}, {"ref": "cshen4/notebookef61a1716f", "kernel_id": "228426"}, {"ref": "usemyheart/notebook2b54ff8a4d", "kernel_id": "228766"}, {"ref": "boypy2/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "271859"}, {"ref": "puggler/notebook76c5c6d476", "kernel_id": "229029"}, {"ref": "xiangfuming67/notebook8c963d0351", "kernel_id": "246606"}, {"ref": "samotron23/notebook47305182a3", "kernel_id": "229680"}, {"ref": "ming2242/notebook50027293f7", "kernel_id": "277833"}, {"ref": "h101010/notebook32b6fbed44", "kernel_id": "236707"}, {"ref": "liuzhipengseven/notebook380f89bd99", "kernel_id": "232048"}, {"ref": "liuzhipengseven/notebook60c76b4ee5", "kernel_id": "232944"}, {"ref": "xbldev/test-kernel-for-quora-competition", "kernel_id": "231837"}, {"ref": "harmenvanpelt/notebookeec11cd7ad", "kernel_id": "238897"}, {"ref": "harmenvanpelt/notebook52128ac85b", "kernel_id": "238971"}, {"ref": "kensekense/y-2017840714", "kernel_id": "267131"}, {"ref": "irenedo/word2vec-meets-linguistic-preprocessing", "kernel_id": "262034"}, {"ref": "irenedo/comparador-de-palabras", "kernel_id": "258871"}, {"ref": "irenedo/decisiones-rapidas", "kernel_id": "247052"}, {"ref": "irenedo/data-analysis-xgboost-starter-0-35460-lb-f072f3", "kernel_id": "246379"}, {"ref": "cswtoby/kernele4c0c2d541", "kernel_id": "846958"}, {"ref": "elezot/notebooka3b14f153c", "kernel_id": "234010"}, {"ref": "pheonix/xgb-starter-12357", "kernel_id": "234076"}, {"ref": "xiaochun/notebook0c54407c00", "kernel_id": "244020"}, {"ref": "xiaochun/notebooke3f218956e", "kernel_id": "244022"}, {"ref": "bonitao/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "234229"}, {"ref": "ikozlov/kozlov-ivan-technosphere", "kernel_id": "254454"}, {"ref": "syeddanish/keras-starter-script-with-word-embeddings", "kernel_id": "268419"}, {"ref": "sreedevigangarapu7/notebookb4ac4f8320", "kernel_id": "234703"}, {"ref": "niking/first-competition-feature-analysis", "kernel_id": "297436"}, {"ref": "niking/test1", "kernel_id": "234760"}, {"ref": "yamacent/notebook5a39790503", "kernel_id": "241196"}, {"ref": "dodomi/notebook9d84bed629", "kernel_id": "237350"}, {"ref": "dodomi/notebook21a8c72cfd", "kernel_id": "234967"}, {"ref": "dodomi/asdadad", "kernel_id": "234998"}, {"ref": "dodomi/notebook6aef4eb57f", "kernel_id": "234999"}, {"ref": "dodomi/aaafdfd", "kernel_id": "268250"}, {"ref": "dodomi/fork-of-tfidf", "kernel_id": "269191"}, {"ref": "dodomi/tfidf", "kernel_id": "269162"}, {"ref": "weixia/question-similarity-using-lstm-embedding", "kernel_id": "271447"}, {"ref": "anrizel/notebook8a02156bf3", "kernel_id": "235316"}, {"ref": "ngupta0511/simple-exploration-notebook-quora-ques-pair", "kernel_id": "235721"}, {"ref": "ngoclinhng/notebookf8d8f8cb3b", "kernel_id": "237640"}, {"ref": "phiracle/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "260863"}, {"ref": "mfrolov/notebook3e14723d2d", "kernel_id": "237427"}, {"ref": "sandy1811/quora-question-pairs-xgboost-starter-in-r", "kernel_id": "436728"}, {"ref": "leclem/notebook8af18fd2b7", "kernel_id": "238636"}, {"ref": "leclem/notebookbb2def02ac", "kernel_id": "238402"}, {"ref": "zgyf2x/notebook7b66b14c76", "kernel_id": "277266"}, {"ref": "kalvertramirez/data-analysis-xgboost-starter", "kernel_id": "257532"}, {"ref": "kyubey/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257552"}, {"ref": "kyubey/data-analysis-xgboost-starter-0-35460-lb-878b3b", "kernel_id": "257622"}, {"ref": "centyt/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257536"}, {"ref": "thea02sakura/magic-features-0-03-gain", "kernel_id": "258740"}, {"ref": "thea02sakura/fork-of-magic-features-0-03-gain-ecf69a", "kernel_id": "258744"}, {"ref": "thea02sakura/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257606"}, {"ref": "thea02sakura/data-analysis-xgboost-starter-0-35460-lb-28cbdd", "kernel_id": "257608"}, {"ref": "stayken04/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257510"}, {"ref": "stayken04/data-analysis-xgboost-starter-0-35460-lb-8e6f1c", "kernel_id": "258893"}, {"ref": "josrp172/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257658"}, {"ref": "ralphlauren/data-analysis-xgboost-starter-0-35460-lb-a0e900", "kernel_id": "257662"}, {"ref": "ralphlauren/data-analysis-xgboost-starter-0-35460-lb-e29da1", "kernel_id": "257620"}, {"ref": "granaderos/data-analysis-xgboost-starter-0-35460-lb-14032c", "kernel_id": "257611"}, {"ref": "granaderos/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257588"}, {"ref": "granaderos/data-analysis-xgboost-starter-0-35460-lb-9e9ab5", "kernel_id": "266016"}, {"ref": "granaderos/intelligent-systems-project", "kernel_id": "268181"}, {"ref": "lordofcalamity/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257579"}, {"ref": "lordofcalamity/data-analysis-xgboost-starter-0-35460-lb-f16305", "kernel_id": "257582"}, {"ref": "chan14/data-analysis-xgboost-starter-christian", "kernel_id": "257548"}, {"ref": "jcarlomedina/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "257642"}, {"ref": "james23/data-analysis-xgboost-starter-0-35460-lb-1f1653", "kernel_id": "257599"}, {"ref": "james23/data-analysis-xgboost-starter-0-35460-lb-49fc92", "kernel_id": "257625"}, {"ref": "bobbyholder/notebookf5debbab67", "kernel_id": "242261"}, {"ref": "bobbyholder/finding-features-for-the-quora-competition", "kernel_id": "242263"}, {"ref": "kunald216/notebook7929675c47", "kernel_id": "238841"}, {"ref": "kardopaska/get-kaggle-versions-of-csvs", "kernel_id": "277387"}, {"ref": "kardopaska/fast-gensim-word2vec-w-googlenews", "kernel_id": "271011"}, {"ref": "kardopaska/fast-how-to-abhishek-s-features-w-o-cray-xk7", "kernel_id": "271028"}, {"ref": "kardopaska/what-is-leaky", "kernel_id": "271803"}, {"ref": "kardopaska/quoras-fast-get-unique-words-in-test-train-sets", "kernel_id": "269581"}, {"ref": "ihalbmond/frequency", "kernel_id": "264933"}, {"ref": "rebelrenegade69/data-analysis-xgboost-starter-0-35460-lb-e7974d", "kernel_id": "257514"}, {"ref": "kaara333/notebook48749ce0b5", "kernel_id": "239905"}, {"ref": "soochangchung/notebook31dc366d5d", "kernel_id": "244337"}, {"ref": "ragaravali/bi-project", "kernel_id": "240975"}, {"ref": "ragaravali/saving-space-for-quora", "kernel_id": "244358"}, {"ref": "ragaravali/lda-to-find-the-similarity", "kernel_id": "242484"}, {"ref": "ryanlax/notebook444dcb065c", "kernel_id": "241271"}, {"ref": "mdementyev/test1", "kernel_id": "253739"}, {"ref": "oliviermorelle/notebook0bcddcbad7", "kernel_id": "242250"}, {"ref": "oliviermorelle/finding-features-for-the-quora-competition", "kernel_id": "242259"}, {"ref": "thuljx/different-location-questions", "kernel_id": "270297"}, {"ref": "wsw951224/first-submmission", "kernel_id": "262866"}, {"ref": "cizonb/xgb-with-whq-jaccard-minor-change-in-line-118", "kernel_id": "260027"}, {"ref": "cizonb/xgb-with-whq-jaccard", "kernel_id": "259997"}, {"ref": "shlomis/pos-tagging", "kernel_id": "242950"}, {"ref": "gyat2017/different-location-questions", "kernel_id": "262981"}, {"ref": "mqvida/notebook0f6c2f4439", "kernel_id": "243291"}, {"ref": "joeytaj/nlp-parsing-example-using-spacy", "kernel_id": "258679"}, {"ref": "asimandia/just-cos", "kernel_id": "253351"}, {"ref": "guptanikhil/notebookc54bbc4901", "kernel_id": "259791"}, {"ref": "aprooks/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "247916"}, {"ref": "kitkat7/simple-leaky-exploration-notebook-quora", "kernel_id": "267159"}, {"ref": "tour1st/the-importance-of-cleaning-text-faster", "kernel_id": "247575"}, {"ref": "tour1st/magic-feature-v2-0-045-gain", "kernel_id": "263595"}, {"ref": "jj1234/data-analysis-xgboost-starter-0-35460-lb-946978", "kernel_id": "258119"}, {"ref": "jiexus/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "519777"}, {"ref": "xcz011/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "265099"}, {"ref": "vkarun/kld-harmonic-mean-xgboost", "kernel_id": "252727"}, {"ref": "vkarun/fork-of-kld-harmonic-mean-xgboost", "kernel_id": "253431"}, {"ref": "sivavth/notebook00dd43ebba", "kernel_id": "255808"}, {"ref": "sivavth/notebooka012cf091a", "kernel_id": "255809"}, {"ref": "sivavth/notebookb640f12ba3", "kernel_id": "254985"}, {"ref": "sivavth/notebooka241d2c331", "kernel_id": "254986"}, {"ref": "sivavth/notebook654832a41b", "kernel_id": "255102"}, {"ref": "mikowhy/test1", "kernel_id": "261661"}, {"ref": "claudiovalim/fork-of-data-analysis-xgboost-starter-0-35450-l", "kernel_id": "275565"}, {"ref": "claudiovalim/data-analysis-xgboost-starter-0-35450-lb", "kernel_id": "275256"}, {"ref": "gearsinmotion/first-notebook", "kernel_id": "259189"}, {"ref": "axelj1/notebook00c2d3fdef", "kernel_id": "266188"}, {"ref": "mariobo/bbk-quora-kernel", "kernel_id": "279831"}, {"ref": "farzazadeh/notebooke010062298", "kernel_id": "263210"}, {"ref": "tqwinter/my-first", "kernel_id": "264073"}, {"ref": "tqwinter/my-second", "kernel_id": "264186"}, {"ref": "shikharpathak/initial-analysis", "kernel_id": "264032"}, {"ref": "arjunsurendran/using-nltk", "kernel_id": "311421"}, {"ref": "procode/sif-embeddings-got-69-accuracy", "kernel_id": "368845"}, {"ref": "phenonomol/notebook9ce0fa4107", "kernel_id": "265256"}, {"ref": "y2017840735/xgb-starter-12357", "kernel_id": "269841"}, {"ref": "jiongcheng/quoramatch", "kernel_id": "282600"}, {"ref": "wallevarr/notebookfd86bc827d", "kernel_id": "269603"}, {"ref": "bobbobg/fork-of-question-similarity-using-lstm-embedding", "kernel_id": "270895"}, {"ref": "aniruddhakalkar/quora-question-pair", "kernel_id": "964559"}, {"ref": "uburuntu/quora-6", "kernel_id": "299740"}, {"ref": "feiranji/choose-best-parameters-for-rf", "kernel_id": "488265"}, {"ref": "chengchengx/logistic-regression-with-term-document-matrix", "kernel_id": "474743"}, {"ref": "mashavasilenko/applying-countvectorizer-to-logistic-reg-and-rf", "kernel_id": "486611"}, {"ref": "jadeyun/starter-rf-code-using-tf-idf", "kernel_id": "487328"}, {"ref": "mdumair1/preprocessing-final", "kernel_id": "798479"}, {"ref": "mdumair1/lstm-notebook", "kernel_id": "799455"}, {"ref": "tvsharish/data-analysis-xgboost-starter-0-35460-lb-d48059", "kernel_id": "954059"}, {"ref": "tvsharish/quara-duplicate-pairs", "kernel_id": "955333"}, {"ref": "sathyz/cnn-w-glove-lb-score-0-39", "kernel_id": "1042299"}, {"ref": "liananapalkova/simply-about-word2vec", "kernel_id": "1903275"}, {"ref": "krishmahajan/quora-duplicate-questions-final", "kernel_id": "1265464"}, {"ref": "levitoh/question-similarity", "kernel_id": "1222990"}, {"ref": "saxinou/fork-of-quora-pair-question-nlp-formation", "kernel_id": "1221530"}, {"ref": "muhammedfathi/quora-identifying-duplicate-questions", "kernel_id": "1870481"}, {"ref": "ananthreddy/only-tf-idf-vectors", "kernel_id": "1400615"}, {"ref": "ananthreddy/lstm-from-scratch", "kernel_id": "1523487"}, {"ref": "wx854811200/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "1124965"}, {"ref": "jessthejay/data-analysis-xgboost-starter-0-35460-lb-2578f5", "kernel_id": "1952281"}, {"ref": "rupeshgoud/spell-checker-using-word2vec", "kernel_id": "1327451"}, {"ref": "fuadajip/visualizing-word-vectors-with-t-sne", "kernel_id": "1217824"}, {"ref": "lakhindr/logistic-regression-quora-question-pairs", "kernel_id": "1012272"}, {"ref": "omkarsabnis/quora-duplicate-question-identifier", "kernel_id": "1015455"}, {"ref": "rana220119/kernelfee8c6b116", "kernel_id": "1985416"}, {"ref": "mlwhiz/spell-checker-using-word2vec", "kernel_id": "2516099"}, {"ref": "leekltw1/quora-question-pairs", "kernel_id": "2566451"}, {"ref": "summit0204/quora-question-papers", "kernel_id": "2368850"}, {"ref": "bharatsingh213/quora-question-pairs-bharat", "kernel_id": "2826864"}, {"ref": "montygupta/logistic-regression", "kernel_id": "2458712"}, {"ref": "nishankmagoo/predicting-quora-question-pair-with-ml", "kernel_id": "2441284"}, {"ref": "mohitguptaomg/detecting-similar-queries-task-2", "kernel_id": "2204452"}, {"ref": "pronkinnikita/tinkoff", "kernel_id": "2235219"}, {"ref": "dineshramasamy/gru-similarity-network", "kernel_id": "2205306"}, {"ref": "econdata/quora-question-pairs", "kernel_id": "2719275"}, {"ref": "econdata/quora-question-pairs-2", "kernel_id": "2719234"}, {"ref": "sahilbansal28/quora-eda-model-selection-roc-pr-plots", "kernel_id": "2572210"}, {"ref": "rajmehra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "2555556"}, {"ref": "prappk19/question-similarity-using-lstm-embedding-bd119d", "kernel_id": "2021922"}, {"ref": "prappk19/question-similarity-using-spacy-s-similarity", "kernel_id": "2254107"}, {"ref": "durgamdileep10/quora-question-pairs-final", "kernel_id": "2184109"}, {"ref": "karan95v/checking-multiple-questions", "kernel_id": "2520758"}, {"ref": "mormukut/quora-question-pair-project", "kernel_id": "3586697"}, {"ref": "mohitguptaomg/similar-queries-task-3", "kernel_id": "3246016"}, {"ref": "mohitguptaomg/fuzzy-features-task-4", "kernel_id": "3826210"}, {"ref": "mohitguptaomg/detecting-similar-queries-task-1", "kernel_id": "3878281"}, {"ref": "rishickesh/quora", "kernel_id": "3285370"}, {"ref": "amoyyean/lstm-with-glove", "kernel_id": "3931741"}, {"ref": "jayaprakashnayak/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "3016975"}, {"ref": "munavar/visualizing-word-vectors-with-t-sne", "kernel_id": "4294098"}, {"ref": "munavar/word2vec-model-training", "kernel_id": "4294227"}, {"ref": "vendredi218/estimate-distribution-of-data-in-lb", "kernel_id": "4329653"}, {"ref": "eddididi/neural-net-quora-question", "kernel_id": "4845304"}, {"ref": "mashavasilenko/quora-questions-pairs-hw3", "kernel_id": "4303313"}, {"ref": "simpletonwang/dl-hw3", "kernel_id": "4304662"}, {"ref": "dsaichand3/data-cleaning", "kernel_id": "4822610"}, {"ref": "turing228/different-embeddings-10-epochs-final", "kernel_id": "4060020"}, {"ref": "turing228/embedding-with-the-preprocessing", "kernel_id": "4090455"}, {"ref": "kunalchamoli/quora-questions-pairs", "kernel_id": "4800248"}, {"ref": "sapkotapratik/siamese-lstm", "kernel_id": "4973301"}, {"ref": "dummydevacc/character-level-cnn-classification-with-dilations", "kernel_id": "4363389"}, {"ref": "benjaminkz/quora-question-pairs-xgboost", "kernel_id": "4410033"}, {"ref": "benjaminkz/quora-question-pairs-feature-extraction-1", "kernel_id": "4385830"}, {"ref": "benjaminkz/quora-question-pairs-data-cleaning", "kernel_id": "4370777"}, {"ref": "benjaminkz/quora-question-pairs-feature-extraction-2", "kernel_id": "4442443"}, {"ref": "smartsinovich/vk-2-core-ml", "kernel_id": "4074559"}, {"ref": "ouadio/simple-exploration-notebook-quora", "kernel_id": "5992906"}, {"ref": "ouadio/data-analysis-xgboost-starter-0-35460-lb", "kernel_id": "5993128"}, {"ref": "ramashwin/question-similarity-model1", "kernel_id": "5377608"}, {"ref": "ramashwin/question-similarity-parameters", "kernel_id": "5369184"}, {"ref": "manohar676/word2vector-in-spell-checker", "kernel_id": "5569521"}, {"ref": "qqgeogor/starter-with-triditional-features", "kernel_id": "6272007"}, {"ref": "qqgeogor/starter-with-more-features-and-complex-model", "kernel_id": "6272466"}, {"ref": "qqgeogor/starter-keras-siamese", "kernel_id": "6272905"}, {"ref": "deepankar009/kernel54a4ab3f62", "kernel_id": "6654946"}, {"ref": "charleschou/kaggle-day-charleschou", "kernel_id": "6301475"}, {"ref": "tjut5547/load-glove-300", "kernel_id": "6459661"}, {"ref": "saeedtqp/quora-duplicate-questions", "kernel_id": "6877181"}, {"ref": "palakurthianirudh/quora-question-pair-similarity", "kernel_id": "6977539"}, {"ref": "arifali77/text-cleaning-in-nlp", "kernel_id": "6607652"}, {"ref": "zuyaukun/xgboost-quora-question-pairs-1data-clean", "kernel_id": "6233665"}, {"ref": "lineeeooo/project1-quora-question-pairs", "kernel_id": "6477149"}, {"ref": "vikashrajluhaniwal/advanced-featurization-ml-models-quora-ques-pairs", "kernel_id": "7067272"}, {"ref": "vikashrajluhaniwal/quora-question-pair-similarity-using-dask", "kernel_id": "7956702"}, {"ref": "agenthundi/sentence-pair-equivalence-nlu", "kernel_id": "7517699"}, {"ref": "anudeepatyam/major-project-lstm", "kernel_id": "7415111"}, {"ref": "anujshr15/quora-pair-similarity", "kernel_id": "7830276"}, {"ref": "arpytanshu/bert-quora-question-pair", "kernel_id": "8106282"}, {"ref": "arbazkhan971/quora-eda-bert", "kernel_id": "8341176"}, {"ref": "panditdandgule/a-detailed-explanation-of-keras-embedding", "kernel_id": "8294164"}, {"ref": "tahahussein/eda-document-similarity-word2vec-modeling", "kernel_id": "8138249"}, {"ref": "ansonshiu/data-exploration-quora-question", "kernel_id": "8360396"}, {"ref": "anupriyo/quora-duplicate-questions-classification", "kernel_id": "9299313"}, {"ref": "nkaps98/quora-question-pairs-glove-lstm", "kernel_id": "9428673"}, {"ref": "talha1503/quora-question-pairs-bi-lstm-pytorch", "kernel_id": "9999442"}, {"ref": "talha1503/qsqp-ml-basicfeatures", "kernel_id": "9907166"}, {"ref": "chandra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "9467551"}, {"ref": "ddliky/malstm-with-word2vec", "kernel_id": "10148429"}, {"ref": "sourabh219/quoraqpairsimilarity", "kernel_id": "10398781"}, {"ref": "arjitg450/quora-question-pair-similarity", "kernel_id": "10788025"}, {"ref": "ghsagar/quora-similarity", "kernel_id": "10293261"}, {"ref": "gneshkaggle/lstm-on-question-sequences", "kernel_id": "10349931"}, {"ref": "abhishekprajapat/quora-question-pairs-similarity-eda", "kernel_id": "10621173"}, {"ref": "creatorghost/quora-question-pair", "kernel_id": "10683829"}, {"ref": "rahulkumarpatro/indian-dance-form-recognition", "kernel_id": "10610785"}, {"ref": "faizainewelectricity/quora-question-pair-similarity-ipynb", "kernel_id": "10320978"}, {"ref": "revathiprakash/pytorch-starter-kit-quora-question-pair-training", "kernel_id": "11911042"}, {"ref": "ajax0564/quora-questions-pairs", "kernel_id": "11536408"}, {"ref": "ankitnarang/quora-question-pairs-feature-extraction", "kernel_id": "11913377"}, {"ref": "christianhritter/minhashlsh", "kernel_id": "12280229"}, {"ref": "chroniccode/final-quora", "kernel_id": "12341528"}, {"ref": "cristianfat/looking-for-my-twin-question-using", "kernel_id": "12288473"}, {"ref": "sarpal465/quora-nlp", "kernel_id": "12088841"}, {"ref": "utsavdm/quora-question-pairs", "kernel_id": "12354674"}, {"ref": "pallavi6256/quora-tpot", "kernel_id": "12435134"}, {"ref": "samarthagarwal23/sbert-finetuning-on-quora", "kernel_id": "13211948"}, {"ref": "abhilash1910/bertsimilarity-library", "kernel_id": "13144065"}, {"ref": "zakariadata/quora-pairs", "kernel_id": "13984265"}, {"ref": "trangdothuy/visualizing-word-vectors", "kernel_id": "13142619"}, {"ref": "dpipi17/pytorch-and-bert-demetre-pipia", "kernel_id": "13773586"}, {"ref": "jeevankumar02/quora-question-pairs", "kernel_id": "13096910"}, {"ref": "rachelyang49/sbert-finetuning-on-quora", "kernel_id": "13700860"}, {"ref": "sankarshan7/quora-duplicate-question", "kernel_id": "14233044"}, {"ref": "sankarshan7/quora-duplicate-question-pl", "kernel_id": "14266113"}, {"ref": "taaniyaarora/eda-with-bert-sentence-embedding", "kernel_id": "14954822"}, {"ref": "dwarika/text-analysis-all-you-need-to-know", "kernel_id": "14406918"}, {"ref": "ritvik1909/siamese-network-text-similarity", "kernel_id": "14812818"}, {"ref": "keshavramaiah/intent-redundancy-using-sbert", "kernel_id": "14775385"}, {"ref": "tailender/semantic-textual-similarity-quora-question-pairs", "kernel_id": "14102885"}, {"ref": "abheeshthmishra/eda-of-quora-question-pairs-part-1", "kernel_id": "14464713"}, {"ref": "abheeshthmishra/eda-of-quora-question-pairs-part-2", "kernel_id": "14465237"}, {"ref": "chinmaymungilwar/starter-keras-siamese", "kernel_id": "14682502"}, {"ref": "amanmiglani12/quora-question-pair", "kernel_id": "14985661"}, {"ref": "abhilash1910/clustertransformer-topic-modelling-in-transformers", "kernel_id": "15650120"}, {"ref": "siddharthcv77/intent-redundancy-using-sbert", "kernel_id": "15336897"}, {"ref": "bwtest/simply-about-word2vec", "kernel_id": "15262915"}, {"ref": "debasisdotcom/quora-question-pair-using-glove-and-lstm", "kernel_id": "15793991"}, {"ref": "sandeepr2111/question-duplicates", "kernel_id": "15627301"}, {"ref": "ratul6/quora-question-pairs-analysis-using-lstm", "kernel_id": "15853621"}, {"ref": "sanjayv007/quora-question-pair-analysis", "kernel_id": "15051742"}, {"ref": "praveen525/quora-question-pair-similarity", "kernel_id": "15071651"}, {"ref": "gariscat/quora-question-pairs-test", "kernel_id": "15442598"}, {"ref": "naveenk903/quora-question-pairs-with-tf-bert", "kernel_id": "16522908"}, {"ref": "sam9905/fuzzy-feature-based-classification", "kernel_id": "16032412"}, {"ref": "gauravharamkar/bert-sentence-transformer-for-text-similarity", "kernel_id": "16798545"}, {"ref": "siddharthcv77/pytorch-and-bert-demetre-pipia", "kernel_id": "16750578"}, {"ref": "girijeshcse/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "16845475"}, {"ref": "frankhillard/notebook26c807bb5c", "kernel_id": "16197193"}, {"ref": "christellebe/christelle-notebook91a422fd79", "kernel_id": "16197235"}, {"ref": "christellebe/notebook6fa344f883-2ece05", "kernel_id": "16225154"}, {"ref": "antoinebay/notebook6fa344f883", "kernel_id": "16197178"}, {"ref": "tranduyanhk14hl/sbert-finetuning-on-quora", "kernel_id": "16727435"}, {"ref": "huikang/quora-question-pair-dataset-visualisation", "kernel_id": "17570628"}, {"ref": "huikang/quora-question-pairs-bert-sentence-vectors", "kernel_id": "17854592"}, {"ref": "huikang/quora-question-pairs-for-information-retrieval", "kernel_id": "17405701"}, {"ref": "chandrakumar3108/notebookf6e44760b0", "kernel_id": "17351214"}, {"ref": "kwtzaugust/boolean-ir-model-r-precision", "kernel_id": "17748759"}, {"ref": "chenshuizhou/quora-question-pair-using-glove-and-lstm", "kernel_id": "17625146"}, {"ref": "huikang/quora-question-pair-competition-attempt", "kernel_id": "18114961"}, {"ref": "huikang/quora-question-pair-competition-tfidf", "kernel_id": "18134404"}, {"ref": "huikang/ir-project-download-keyed-vectors", "kernel_id": "18589287"}, {"ref": "huikang/ir-project-supervised-model-data-preparation", "kernel_id": "18844119"}, {"ref": "kwtzaugust/quora-question-pairs-tokenise-pipeline", "kernel_id": "18002509"}, {"ref": "yaswanthchunduru/quora-question-pair-similarity", "kernel_id": "18526842"}, {"ref": "scchouhansanjay/quora-question-pair-similarity", "kernel_id": "19924386"}, {"ref": "abhibisht89/quora-questions-similarity-using-sbert", "kernel_id": "20663032"}, {"ref": "raryan/quora-text-similarity-using-bert", "kernel_id": "20689488"}, {"ref": "surekharamireddy/customer-segmentation", "kernel_id": "20152192"}, {"ref": "manasa0634/quora-project", "kernel_id": "20289312"}, {"ref": "dummybug/quora-questions-similarity", "kernel_id": "20193157"}, {"ref": "elemento/quora-questionpairs-eda-visualization", "kernel_id": "20780196"}, {"ref": "elemento/quora-questionpairs-modeling", "kernel_id": "20948421"}, {"ref": "lusisaliai/nlp-analysis", "kernel_id": "20989978"}, {"ref": "anunnikrishnan/siasmese-nlp-qpairs", "kernel_id": "21027699"}, {"ref": "fsalerno4/text-analytics-project", "kernel_id": "21401245"}, {"ref": "zenanhu/get-started-with-xgboost", "kernel_id": "21399161"}, {"ref": "anikaitgupta3/notebook2e226172a6", "kernel_id": "21939741"}, {"ref": "withmaster/quora-questionpairs", "kernel_id": "21400811"}, {"ref": "hoonchulshin/quora-modeling-project", "kernel_id": "21417733"}, {"ref": "ahnsehun/siasmese-nlp-qpairs", "kernel_id": "21467834"}, {"ref": "uygarkk/starter-siamese-tensorflow", "kernel_id": "22063323"}, {"ref": "mitishaagarwal/quora-duplicate-questions-eda", "kernel_id": "22816097"}, {"ref": "prashanthsaiboyina/smai-project", "kernel_id": "22571987"}, {"ref": "palash97/glove-lstm-pytorch", "kernel_id": "23714717"}, {"ref": "mitishaagarwal/quora-duplicate-questions-model", "kernel_id": "23842945"}, {"ref": "aravinthbosem/quora-similarity-find", "kernel_id": "23021828"}, {"ref": "aravinthbosem/copy-of-quora-similarity-find-fri", "kernel_id": "23688434"}, {"ref": "everlynasiko/visualizing-word-vectors-with-t-sne", "kernel_id": "24611851"}, {"ref": "jcllobet/data-analysis-tf-encoder-nn-for-question-pairs", "kernel_id": "24209250"}, {"ref": "hatemnoaman101/lstm-with-glove", "kernel_id": "24314539"}, {"ref": "fernandobordi/fb-visualizaci-n-de-vectores-de-palabras-con-t-sne", "kernel_id": "24223253"}, {"ref": "mustafa21/data-cleaning", "kernel_id": "25995043"}, {"ref": "jeeltttt/19bce283-irs4", "kernel_id": "25713517"}, {"ref": "prnshv/19bce060-irs-q", "kernel_id": "25245196"}, {"ref": "veerpalsingh/quora-question-pair-final", "kernel_id": "25301149"}, {"ref": "pranshushah176/vectorization-and-cosine-similarity", "kernel_id": "25269342"}, {"ref": "monikachivate/duplicate-question-detection", "kernel_id": "25304573"}, {"ref": "saurabhbairagi/quora-question-pair-similarity-prediction", "kernel_id": "25927935"}, {"ref": "arkpatel/irs-prac-3", "kernel_id": "25325804"}, {"ref": "shailshah611/irs-prac-4", "kernel_id": "25713500"}, {"ref": "stevenli1/quora-pairs-1", "kernel_id": "25878869"}, {"ref": "akshat4112/quora-question-pair-similarity-part-2-adv-eda", "kernel_id": "26521494"}, {"ref": "akshat4112/quora-question-pair-similarity-part-1-basic-eda", "kernel_id": "26231173"}, {"ref": "venkatkumar001/nlp-starter1-almost-all-basic-concept", "kernel_id": "26362647"}, {"ref": "dhirendra73/feature-engineering-and-average-word2vec", "kernel_id": "26991571"}, {"ref": "sahilpatel19/prac-4-accuracy-measures", "kernel_id": "26095325"}, {"ref": "aayush349/practical4-irs-19bce245", "kernel_id": "26094067"}, {"ref": "pooja42/irs-practical-4", "kernel_id": "26095140"}, {"ref": "moonlightcc/notebookd063f90e2f", "kernel_id": "26224368"}, {"ref": "peterpansec/peter-baseline2-0", "kernel_id": "26844963"}, {"ref": "peterpansec/peter-baseline", "kernel_id": "26806232"}, {"ref": "dannymathew/4-quora-questions", "kernel_id": "27790804"}, {"ref": "shikharpanwar/lstm-roberta", "kernel_id": "27102947"}, {"ref": "gauravkumar008/quora-question-pairing", "kernel_id": "27315049"}, {"ref": "akashsanjaywagh/quora-question-duplicate", "kernel_id": "27542279"}, {"ref": "nminhptnk/notebook48f63434d3", "kernel_id": "28581567"}, {"ref": "gauravcodes/semantic-similarity-pre-trained-transformers", "kernel_id": "28145087"}, {"ref": "edwardjross/quora-question-pairs-pretrained-cross-encoder", "kernel_id": "29519832"}, {"ref": "quadeer15sh/siamese-bert-for-quora-question-similarity", "kernel_id": "29444040"}, {"ref": "jarunmadhesh/task1", "kernel_id": "29959085"}, {"ref": "ashishpandagre/quora-question-pairs-glove-lstm", "kernel_id": "29750326"}, {"ref": "bandisaideva/lstm-with-glove", "kernel_id": "29510257"}, {"ref": "bananawolf/lstm-with-word2vec-embeddings", "kernel_id": "29105291"}, {"ref": "jurk06/question-similarity", "kernel_id": "30979692"}, {"ref": "nikhilchapre/baseline-logistic-regression-model", "kernel_id": "30589534"}, {"ref": "nikhilchapre/quick-sentencebert-demo", "kernel_id": "30936321"}, {"ref": "maverickss26/text-similarity-using-bert", "kernel_id": "30276000"}, {"ref": "neelkamal692/quora-duplicate-question-baseline", "kernel_id": "31973075"}, {"ref": "sayamkumar/quora-duplicate-question-pairs-identification", "kernel_id": "31417732"}, {"ref": "shrutianand21/similar-questions", "kernel_id": "31875184"}, {"ref": "lachhebo/notebookf72fc00a68", "kernel_id": "32695806"}, {"ref": "neelkamal692/bow-tfidf-with-preprocessing", "kernel_id": "32032631"}, {"ref": "neelkamal692/tf-idf-preprocessing-random-forest-accuracy-82", "kernel_id": "32148599"}, {"ref": "newbieag068/quora-questions-eda-tfidf-similarity", "kernel_id": "32809098"}, {"ref": "amirkonjkav/explanation-of-embedding-layer", "kernel_id": "32834351"}, {"ref": "bharatadhikari/semantic-similarity-bert", "kernel_id": "32979158"}, {"ref": "rafiriyazpatel/tf-idf-weighted-word2vec-model", "kernel_id": "32898478"}, {"ref": "nilarnabdebnath/similar-question-ours", "kernel_id": "32739553"}, {"ref": "thomaslz/notebook1f0f94d00b", "kernel_id": "32695860"}, {"ref": "utkarsh293/tf-idf-weighted-word2vec-model-using-xgboost", "kernel_id": "32889382"}, {"ref": "flowlight/kaggle-book-gokui-chapter5-lightgbm", "kernel_id": "34587947"}, {"ref": "flowlight/kaggle-book-gokui-chapter5-bert-dryrun", "kernel_id": "34554751"}, {"ref": "vidhirana10/quora-duplicate-questions-detection-using-cnn", "kernel_id": "34929899"}, {"ref": "vinayak4444/duplicate-question-detection-using-cnn", "kernel_id": "34929908"}, {"ref": "shrikrishnaparab/find-duplicate-questions-pair", "kernel_id": "34287696"}, {"ref": "sruthi0909/sruthi", "kernel_id": "35294867"}, {"ref": "sruthi0909/similar-questions", "kernel_id": "35125856"}, {"ref": "sharanharsoor/fine-tune-bert-for-queation-pair-classification", "kernel_id": "36312653"}, {"ref": "attaur/fine-tune-bert-for-queation-pair-classification", "kernel_id": "36938791"}, {"ref": "pradeepparida/quora-question-pairs", "kernel_id": "36165774"}, {"ref": "akshay454/duplicate-question-pairs", "kernel_id": "36991374"}, {"ref": "gaojianyu/quora-question-pairs", "kernel_id": "36591674"}, {"ref": "sruthi0909/tfbert", "kernel_id": "36558861"}, {"ref": "sruthi0909/siaseme-bert", "kernel_id": "36802773"}, {"ref": "sruthi0909/cosine-similarity", "kernel_id": "36856045"}, {"ref": "sruthi0909/roberta-model", "kernel_id": "36517410"}, {"ref": "sowm123/nlp-text-clustering", "kernel_id": "36611721"}, {"ref": "akashmathur2212/comprehensive-sts-using-siamese-sentence-bert", "kernel_id": "38393087"}, {"ref": "umangdobariya1436/basic-pre-processing-quora-question-pairs", "kernel_id": "38157989"}, {"ref": "vinayakmane47/finetuning-roberta", "kernel_id": "38216581"}, {"ref": "mayurdushetwar/quora-que-pairs-glove-embedding-lstm", "kernel_id": "38775091"}, {"ref": "ahmedmzaid/recognizing-similar-text", "kernel_id": "38354617"}, {"ref": "ndeperrois/quora-comparison-siamesebert", "kernel_id": "39745394"}, {"ref": "ambarish224/quora-question-pair-classification-prediction", "kernel_id": "39528189"}, {"ref": "ds150478/semantic-textual-similarity-using-transformers", "kernel_id": "39097236"}, {"ref": "celinekaram/newfinal", "kernel_id": "39822611"}, {"ref": "marahhabashy/final", "kernel_id": "39792388"}, {"ref": "adityaghuse/quora-question-pairs", "kernel_id": "40630494"}, {"ref": "deepaktripathy1/quora-classification-tfidf-transformers", "kernel_id": "40122605"}, {"ref": "raviiloveyou/notebook3f267eeccf", "kernel_id": "40874998"}, {"ref": "yakinoki/quora-question-pairs-with-bert", "kernel_id": "41957146"}, {"ref": "aganguly/vectordb-and-sbert", "kernel_id": "41437909"}, {"ref": "ratanprakash/quoraqnapairsdetectionnlp", "kernel_id": "41362992"}, {"ref": "dhairyapandya1/duplicate-questions-quora", "kernel_id": "41966876"}, {"ref": "dhairyapandya1/duplicate-question-quora", "kernel_id": "41938488"}, {"ref": "anilreddyvv/lstm-quora", "kernel_id": "42117139"}, {"ref": "mahmoudebrahim12/ml-project1-bert", "kernel_id": "42420803"}, {"ref": "arunnithyaanandam/final-siamese", "kernel_id": "42996329"}, {"ref": "anuragraj03/ml-rfc-dulicatepair-question", "kernel_id": "42628692"}, {"ref": "momengharib/ml-project", "kernel_id": "42098765"}, {"ref": "momengharib/ml-project1", "kernel_id": "42133341"}, {"ref": "bikashsingh12/final-question-pair", "kernel_id": "43839430"}, {"ref": "olgamarkhai/model2-lstm-with-word2vec-embeddings", "kernel_id": "43069166"}, {"ref": "olgamarkhai/model-1", "kernel_id": "43061064"}, {"ref": "dushyantnagar7806/unlocking-insights-with-duplicate-question-pair", "kernel_id": "43407132"}, {"ref": "jagan028/bertnlp", "kernel_id": "43068770"}, {"ref": "sonalichaturvedi2506/identify-duplicate-questions-using-nlp", "kernel_id": "43122007"}, {"ref": "mitanshuchakrawarty/quora-duplicate-ques-pairs-nlp", "kernel_id": "43834417"}, {"ref": "arunnithyaanandam/notebookf7786d966f-4ce086", "kernel_id": "43050940"}, {"ref": "madheshloganathan/notebookf7786d966f", "kernel_id": "43048605"}, {"ref": "ankitdhiman7/quoraquestionpairs", "kernel_id": "44117886"}, {"ref": "shohamjac/mistral-oo", "kernel_id": "44048991"}, {"ref": "seifmechi/sentence-bert-quora-question-pairs", "kernel_id": "46076098"}, {"ref": "endofnight17j03/nlp-quora-question-pair", "kernel_id": "46695018"}, {"ref": "kyriakitychola/siamese-roberta-networks-with-regression-objective", "kernel_id": "47445588"}, {"ref": "mukulsaini01/bow-with-basic-featur", "kernel_id": "49256920"}, {"ref": "mukulsaini01/bow-with-basic-features", "kernel_id": "49211922"}, {"ref": "mukulsaini01/duplicate-question-don-t-worry-solved", "kernel_id": "49205318"}, {"ref": "sacrum/quora-search-engine-using-qdrant", "kernel_id": "50688525"}, {"ref": "aniketdvd/quora-duplicate-ques-ver1", "kernel_id": "50818958"}, {"ref": "aniketdvd/quora-ques-pair-advance-featureengg-ver2", "kernel_id": "50912803"}, {"ref": "zeyadsayedadbullah/quora-question-pairs-text-similarity-model", "kernel_id": "50122318"}, {"ref": "sanjvvs/qqm-bert-fine-tune-with-hf-trainer", "kernel_id": "51975560"}, {"ref": "anubhavgoyal10/quora-question-similarity-analysis", "kernel_id": "51472320"}, {"ref": "surajkumarjha21/quora-questionpairs", "kernel_id": "51290829"}, {"ref": "shaikhabdulrafay03/question-similarity-using-knowledge-graphs", "kernel_id": "52769103"}, {"ref": "sharadsisodiya/quora-2-question-pair", "kernel_id": "52224156"}, {"ref": "pavelpoletaev/quora-question-pairs-using-pytorch-bilstm", "kernel_id": "52416974"}, {"ref": "sarthak333/quora-duplicate-questions", "kernel_id": "53052863"}, {"ref": "mellisaangelin/quora-question-pairs-part-2", "kernel_id": "53461660"}, {"ref": "divu2001/questions-differentiator", "kernel_id": "54739018"}, {"ref": "binoolivermanjesh/architecture-1", "kernel_id": "55813677"}, {"ref": "typeyippie/quora-question-pair-prediction", "kernel_id": "57555924"}, {"ref": "seifeldinsami/image-project-qoura", "kernel_id": "58479794"}, {"ref": "jiayiko/lstm-quora-question-pairs", "kernel_id": "58978898"}, {"ref": "harshitarya003/quora-question-similarity-bagofwords-tfidf", "kernel_id": "58437927"}, {"ref": "typeyippie/nlp-quora-question-pair-prediction", "kernel_id": "59285399"}, {"ref": "nnghiapd/sentence-bert-quora-question-pairs", "kernel_id": "60222151"}, {"ref": "abhirajmandal/quora-duplicate-pairs-nlp-project", "kernel_id": "60500515"}, {"ref": "dhleimamohamed/siamese-bert-for-quora-question-similarity", "kernel_id": "61049454"}, {"ref": "a7med7m0stvfa/edit-sentence-bert-quora-question-pairs", "kernel_id": "61671079"}, {"ref": "aman2603tiwari/quoraa", "kernel_id": "61314643"}, {"ref": "jeffrey007wang/bert-model-prediction", "kernel_id": "62129158"}, {"ref": "muhammadfurqan0/question-twins-analyzing-quora-similarity-game", "kernel_id": "63564285"}, {"ref": "nidhikandari/duplicate-question-pairs", "kernel_id": "63690502"}, {"ref": "sojibbhattacharjee/quora-duplicate-question", "kernel_id": "64256801"}, {"ref": "vguptanitj/quora-questions", "kernel_id": "65571298"}, {"ref": "uicmubin/duplication-check", "kernel_id": "65379411"}, {"ref": "asferzafar/quora-question-pair-nlp", "kernel_id": "66672344"}, {"ref": "abhiaero/quora-question-cosine-similarity", "kernel_id": "67209720"}, {"ref": "vyom71/lstm-semantic", "kernel_id": "67076598"}, {"ref": "prateiklohani/quora-data-generation", "kernel_id": "68326316"}, {"ref": "cartoonistbeard/quora-duplicate-pair-0-38", "kernel_id": "68863863"}, {"ref": "shuyuehou/questionpair", "kernel_id": "69932381"}, {"ref": "jitesh744/quora-dataset-bert-finetuned", "kernel_id": "72432174"}, {"ref": "mohitkumar282/quora-duplicate-questions-classification", "kernel_id": "72898477"}, {"ref": "abhishek0032/quora-question-match-bow-to-advanced-features", "kernel_id": "72858821"}, {"ref": "jaysurender/dup-question-quora", "kernel_id": "73794532"}, {"ref": "ritwiksarkar2/text-similarity-find", "kernel_id": "74470616"}, {"ref": "tark01/lstm-0-44-log-loss-score", "kernel_id": "74940830"}, {"ref": "navneetguglani/bow-onfulldataset", "kernel_id": "76520020"}, {"ref": "arlis0627/quora-nlp-arlis", "kernel_id": "78735891"}, {"ref": "farelarden/text-similarity-quora-questions-semantic-appro", "kernel_id": "79110050"}, {"ref": "prashantchohla801/quora-question-pair", "kernel_id": "80568036"}, {"ref": "abdalrahmanwael/quora-question-matching", "kernel_id": "81435302"}, {"ref": "abdalrahmanwael/quora-question-matching-snn", "kernel_id": "81864354"}, {"ref": "hibachouchne/k-means-algorithme", "kernel_id": "82016182"}, {"ref": "pranatmishra/notebooke99a600583", "kernel_id": "82169298"}, {"ref": "ethicalstar/quora-question-answer-pair-nlp", "kernel_id": "82884455"}, {"ref": "tahmidmir/personalized-ethical-dilemma-resolution-system", "kernel_id": "83962986"}, {"ref": "bladesofchaos11/quora-question-pairs", "kernel_id": "86291929"}, {"ref": "pradeepkrmahato/getting-started-with-nlp", "kernel_id": "86818366"}, {"ref": "theallkeeeymist/duplicate-question-pairs-1", "kernel_id": "87773124"}, {"ref": "rushildhingra25/quora-question-pairs", "kernel_id": "88977843"}, {"ref": "adnanshahriarbhuiyan/quora-question-pair", "kernel_id": "89137889"}, {"ref": "njuspy/quora-question-pairs", "kernel_id": "90575571"}, {"ref": "vietleds/quora-question-pairs", "kernel_id": "90772824"}, {"ref": "sonawanehardik/project-quora-01", "kernel_id": "92906155"}, {"ref": "quangnguynv/quora-question-pairs", "kernel_id": "94503786"}, {"ref": "ipriyanshyadav/w2v-quora-question-pairs", "kernel_id": "95631563"}, {"ref": "madisrinija/quora-question-pairs", "kernel_id": "105627448"}, {"ref": "aman2626786/quora-question-pairs-nlp-projects", "kernel_id": "105107151"}, {"ref": "vedantgawande04/quora-duplicate-question-pair", "kernel_id": "105392163"}, {"ref": "sahilanthony/quora-question-pairs-similarity", "kernel_id": "106653295"}, {"ref": "harshporwal2004/find-quora-duplicate-question-pairs", "kernel_id": "107701009"}, {"ref": "evgendvorkin/quora-question-pairs", "kernel_id": "108237128"}, {"ref": "gurleen04/quora-ques-sim", "kernel_id": "109057878"}, {"ref": "shivamardeshna/quora-question-pairs-code", "kernel_id": "111357404"}, {"ref": "lem108/notebookd25ecf8e4d", "kernel_id": "111862420"}, {"ref": "kemaldemirba/pro-neural-semantic-engine", "kernel_id": "111848100"}, {"ref": "sheybarpagga/matching", "kernel_id": "115186657"}, {"ref": "chatgptsaha/notebook2d354e7e4a", "kernel_id": "116226034"}, {"ref": "ankitkumar8252/quora-question-pair1", "kernel_id": "120302019"}, {"ref": "muskanbishnoi1/from-sparse-vectors-to-semantic-search-a-comparat", "kernel_id": "125615769"}, {"ref": "saranshbasu/quora-question-pairs", "kernel_id": "128927757"}]}
{"competition_id": "6293", "kernels": []}
{"competition_id": "6295", "kernels": []}
{"competition_id": "6300", "kernels": []}
{"competition_id": "6312", "kernels": []}
{"competition_id": "6315", "kernels": []}
{"competition_id": "6322", "kernels": [{"ref": "alexxanderlarko/xgb-40", "kernel_id": "241265"}, {"ref": "benhamner/notebook1399b773d2", "kernel_id": "248916"}, {"ref": "web007/notebook879541c0c0", "kernel_id": "239943"}, {"ref": "mesolithic/xgb-starter-lb-0-88232", "kernel_id": "242235"}, {"ref": "weizhezhang/natural-growth-patterns-fractals-of-nature", "kernel_id": "242295"}, {"ref": "robinkraft/issue-with-tif-files", "kernel_id": "240220"}, {"ref": "robinkraft/getting-started-with-the-data-now-with-docs", "kernel_id": "239180"}, {"ref": "robinkraft/exploring-clear-vs-hazy-images", "kernel_id": "246390"}, {"ref": "robinkraft/fix-for-test-jpg-vs-tif-filenames", "kernel_id": "278392"}, {"ref": "robinkraft/making-tifs-look-normal-using-spectral", "kernel_id": "254880"}, {"ref": "robinkraft/fork-of-making-tifs-look-normal-using-spe-1ca96e", "kernel_id": "262944"}, {"ref": "robinkraft/notebookc4be815653", "kernel_id": "280047"}, {"ref": "clizarralde/my-first-kernel-my-first-kaggle-competition", "kernel_id": "240223"}, {"ref": "juergenf/exploring-the-dataset", "kernel_id": "240688"}, {"ref": "nicksteiner/notebook1f6cb99236", "kernel_id": "248711"}, {"ref": "xiangze/natural-growth-patterns-fractals-of-nature", "kernel_id": "247663"}, {"ref": "golovasteek/decode-jpeg-in-tensorflow-retursn-zeros", "kernel_id": "267403"}, {"ref": "toni00/data-exploration-analysis", "kernel_id": "246973"}, {"ref": "snassimr/myscript", "kernel_id": "260280"}, {"ref": "snassimr/simple-keras-starter", "kernel_id": "269927"}, {"ref": "clustifier/fractals-of-nature-blend-0-89805", "kernel_id": "247096"}, {"ref": "clustifier/78b5eb", "kernel_id": "247559"}, {"ref": "moussa/notebook006a6dde5a", "kernel_id": "264392"}, {"ref": "ansuin/data-exploration-analysis", "kernel_id": "246883"}, {"ref": "efglynn/frequency-counts-of-amazon-chip-labels", "kernel_id": "257360"}, {"ref": "kodieg/getting-started-with-the-data-now-with-docs", "kernel_id": "249611"}, {"ref": "pageman/starting-kit-for-pytorch-deep-learning", "kernel_id": "524006"}, {"ref": "aamaia/mosaic-from-meta-data", "kernel_id": "243455"}, {"ref": "a11gator/notebook25cf39b6c4", "kernel_id": "246435"}, {"ref": "a11gator/notebook9536572cbe", "kernel_id": "246438"}, {"ref": "philschmidt/multilabel-classification-rainforest-eda", "kernel_id": "239258"}, {"ref": "simpetre/notebook0a359c7ead", "kernel_id": "261958"}, {"ref": "saketkunwar/fractals-of-nature-blend-0-89805", "kernel_id": "246700"}, {"ref": "haveaguess/getting-started-with-the-data-now-with-docs", "kernel_id": "259062"}, {"ref": "jakublangr/notebook9404a817de", "kernel_id": "280519"}, {"ref": "amathur2k/xgb-starter", "kernel_id": "258966"}, {"ref": "tanruixin/data-understanding", "kernel_id": "257975"}, {"ref": "luqmanpunekar/amazon", "kernel_id": "242169"}, {"ref": "fnogueira/ir-rgb", "kernel_id": "249912"}, {"ref": "mas313/notebook2878bb556b", "kernel_id": "278138"}, {"ref": "mas313/notebookfc3925c57b", "kernel_id": "278233"}, {"ref": "luckylwk/notebook56ffcdeac9", "kernel_id": "242293"}, {"ref": "arsenyinfo/f-beta-score-for-keras", "kernel_id": "241604"}, {"ref": "arsenyinfo/end-to-end-pipeline-with-vgg-and-augmentation", "kernel_id": "315668"}, {"ref": "thomastilli/fractals-of-nature-blend-0-89805", "kernel_id": "247468"}, {"ref": "yasserm/explorations", "kernel_id": "239724"}, {"ref": "krishnateja614/code-test", "kernel_id": "246098"}, {"ref": "toshikuga/deep-learning-on-planet-satellites-images-wip", "kernel_id": "240258"}, {"ref": "opanichev/lightgbm-starter", "kernel_id": "295492"}, {"ref": "opanichev/xgb-starter", "kernel_id": "240927"}, {"ref": "ldecamp/notebook38f0cabe0d", "kernel_id": "249549"}, {"ref": "palanikrishnan/learning", "kernel_id": "274127"}, {"ref": "greenmtn/xgb-starter-lb-0-88232", "kernel_id": "241712"}, {"ref": "jandre/xgb-starter-lb-0-88232", "kernel_id": "243709"}, {"ref": "timlewis4645/notebook148ac3603b", "kernel_id": "240865"}, {"ref": "robertbunn/starting-kit-for-pytorch-deep-learning", "kernel_id": "254099"}, {"ref": "iamsiva11/notebook64458cdca5", "kernel_id": "240776"}, {"ref": "rhysjmartin/notebook569228bead", "kernel_id": "246294"}, {"ref": "bguberfain/tif-to-jpg-by-matching-percentiles", "kernel_id": "255531"}, {"ref": "bguberfain/xgb-trained-with-histograms-lb-0-84153", "kernel_id": "239404"}, {"ref": "bguberfain/xgb-with-histograms-lb-0-833", "kernel_id": "240908"}, {"ref": "bguberfain/fix-for-test-jpg-vs-tif-filenames-8e8add", "kernel_id": "279194"}, {"ref": "ivanl1/haze-removal-using-dark-channel-prior", "kernel_id": "318717"}, {"ref": "abweiss/notebookddd909ce20", "kernel_id": "241724"}, {"ref": "piyushjaiswal14/notebook8048e3d099", "kernel_id": "251833"}, {"ref": "iamspacetime/notebookae8e9f0d24", "kernel_id": "239287"}, {"ref": "cttsai/fractals-of-nature-blend-v2-dump-ndvi-to-csv", "kernel_id": "254600"}, {"ref": "cttsai/majority-vote-of-submissions", "kernel_id": "312508"}, {"ref": "osvaldo/getting-started-with-the-data-now-with-docs", "kernel_id": "280049"}, {"ref": "htomov/xgboost-amazon-from-space-0-90", "kernel_id": "317080"}, {"ref": "zhugds/tif-vs-jpg-bad-example", "kernel_id": "264431"}, {"ref": "zhugds/fractals-of-nature-blend-v2", "kernel_id": "253433"}, {"ref": "kelexu/keras-lb-0-913", "kernel_id": "282955"}, {"ref": "kelexu/extract-resnet-feature-using-keras", "kernel_id": "284588"}, {"ref": "kelexu/pretrained-resnet-feature-xgb", "kernel_id": "297262"}, {"ref": "kelexu/dl-test-features", "kernel_id": "251578"}, {"ref": "mathematiguy/loading-the-image-data", "kernel_id": "261790"}, {"ref": "clecocel/multilabel-classification-rainforest-eda", "kernel_id": "255860"}, {"ref": "manprets/plannet-amazon", "kernel_id": "240620"}, {"ref": "boyanangelov/getting-started-with-the-data-now-with-docs", "kernel_id": "255566"}, {"ref": "mtfall/test-notebook", "kernel_id": "279302"}, {"ref": "nthomsn/basic-image-statistics-into-a-csv", "kernel_id": "239392"}, {"ref": "tetlanesh/notebook5b37499fa6", "kernel_id": "239357"}, {"ref": "chambox/notebookaac67415fb", "kernel_id": "258541"}, {"ref": "chambox/data-exploration", "kernel_id": "258544"}, {"ref": "chambox/data-exploration-and-r-xgboost-starter", "kernel_id": "258550"}, {"ref": "vanausloos/getting-started-with-the-data-now-with-docs", "kernel_id": "284182"}, {"ref": "llulai/notebook6ba199054b", "kernel_id": "239518"}, {"ref": "llulai/notebookbc65aa9c9c", "kernel_id": "239521"}, {"ref": "philerooski/quick-script-for-binarizing-labels", "kernel_id": "254649"}, {"ref": "vengaybanzai/keras-cv", "kernel_id": "251679"}, {"ref": "strideradu/extraxt-features-from-vgg16-model-in-keras", "kernel_id": "279997"}, {"ref": "marsbroshok/getting-started-with-the-data-now-with-docs", "kernel_id": "255371"}, {"ref": "protan/keras-resnet50-with-batch-generator", "kernel_id": "310725"}, {"ref": "pafrantz/notebook59973f3029", "kernel_id": "246570"}, {"ref": "remap1/xgb-with-histogram-bins-per-channel-0-88526", "kernel_id": "263725"}, {"ref": "themixedfermions/notebookb3e34c4945", "kernel_id": "247535"}, {"ref": "yogeshsinghrbt/notebook3664afbcc5", "kernel_id": "239964"}, {"ref": "kbalkoski/eda-feature-detection-sandbox", "kernel_id": "265208"}, {"ref": "kbalkoski/initial-eda-image-processing", "kernel_id": "258547"}, {"ref": "agavranis/xgb-starter-lb-0-88232", "kernel_id": "241544"}, {"ref": "something4kag/f2-score-in-r", "kernel_id": "245271"}, {"ref": "basavk/notebookb57ce2be9b", "kernel_id": "239209"}, {"ref": "joconnor/another-keras-starter", "kernel_id": "243088"}, {"ref": "joconnor/keras-starter", "kernel_id": "243119"}, {"ref": "shauryashubham/fork-of-try-keras-46c907", "kernel_id": "383711"}, {"ref": "shauryashubham/keras-first-try", "kernel_id": "383048"}, {"ref": "shauryashubham/try-keras", "kernel_id": "383142"}, {"ref": "xwzy66/test222", "kernel_id": "239841"}, {"ref": "reedroberts/notebook29385ff4b3", "kernel_id": "240039"}, {"ref": "vfdev5/images-exploration", "kernel_id": "239340"}, {"ref": "elpidiofilho/xgb-with-histograms-lb-0-833", "kernel_id": "268679"}, {"ref": "elpidiofilho/teste", "kernel_id": "244911"}, {"ref": "mpotma/first-try-using-keras-cnn", "kernel_id": "248115"}, {"ref": "cshannon/notebooke5b06116f1", "kernel_id": "248993"}, {"ref": "oliviama/rainforest", "kernel_id": "242179"}, {"ref": "oliviama/notebook0e88cfd112", "kernel_id": "242185"}, {"ref": "oliviama/notebook201c8cc04b", "kernel_id": "242186"}, {"ref": "oliviama/notebook2e240d3a06", "kernel_id": "242192"}, {"ref": "oliviama/notebookbd8a3c2f40", "kernel_id": "242193"}, {"ref": "danieleewww/fractals-of-nature-blend-0-90050", "kernel_id": "266077"}, {"ref": "danieleewww/notebook8505ba273a", "kernel_id": "249471"}, {"ref": "pankajvshrma/keras-cv-99eaf7", "kernel_id": "249352"}, {"ref": "dengzc/classify-rainforest", "kernel_id": "239344"}, {"ref": "shelia0304/notebookeffb90ea66", "kernel_id": "247256"}, {"ref": "shelia0304/multilabel-classification-rainforest-eda-27ce2b", "kernel_id": "247257"}, {"ref": "amitkumarjaiswal/started-playing-with-data", "kernel_id": "239969"}, {"ref": "andymarsden100/let-s-get-started", "kernel_id": "239733"}, {"ref": "kai06046/notebook9b9bf2c555", "kernel_id": "249035"}, {"ref": "igormq/f-beta-score-for-pytorch", "kernel_id": "244302"}, {"ref": "italogoncalves/notebookf23d2cc241", "kernel_id": "241591"}, {"ref": "nmud19/fractals-of-nature-blend-0-89805", "kernel_id": "246277"}, {"ref": "nikhil2008v/notebook22501214bc", "kernel_id": "242288"}, {"ref": "nikhil2008v/notebook786c790a54", "kernel_id": "242289"}, {"ref": "gogolgrind/fractals-of-nature-blend-0-89805", "kernel_id": "247857"}, {"ref": "charlesp/notebook15abc02235", "kernel_id": "240945"}, {"ref": "buzfifer/initial-eda-image-processing", "kernel_id": "279950"}, {"ref": "nikolaikopernik/notebookd2e6977730", "kernel_id": "245726"}, {"ref": "nikolaikopernik/confusion-matrix", "kernel_id": "245728"}, {"ref": "nikolaikopernik/notebook4d8f77288c", "kernel_id": "249808"}, {"ref": "anokas/fixed-f2-score-in-python", "kernel_id": "240681"}, {"ref": "anokas/simple-keras-starter", "kernel_id": "239353"}, {"ref": "anokas/data-exploration-analysis", "kernel_id": "239237"}, {"ref": "anokas/download-fon-features", "kernel_id": "249936"}, {"ref": "anokas/dl-fon-features", "kernel_id": "249939"}, {"ref": "ngcferreira/fractals-of-nature-blend-0-90050", "kernel_id": "248973"}, {"ref": "jingstat/keras-cv-optim", "kernel_id": "251750"}, {"ref": "aagundez/notebook09ad1a4bd6", "kernel_id": "248594"}, {"ref": "aagundez/test-one-two-three-4324234", "kernel_id": "265955"}, {"ref": "sashakorekov/end-to-end-resnet50-with-tta-lb-0-93", "kernel_id": "315692"}, {"ref": "xinpeng/notebookb992ff2817", "kernel_id": "264434"}, {"ref": "chattob/natural-growth-patterns-fractals-of-nature", "kernel_id": "243898"}, {"ref": "chattob/natural-growth-patterns-fractals-of-nature-17c528", "kernel_id": "243901"}, {"ref": "paulorzp/find-best-f2-score-threshold", "kernel_id": "239377"}, {"ref": "paulorzp/notebookc4af67492f", "kernel_id": "245049"}, {"ref": "paulorzp/trying-to-fix-jpg-colors", "kernel_id": "255346"}, {"ref": "yochanan/notebook3aa40f5547", "kernel_id": "276624"}, {"ref": "yochanan/notebookc00f44a4b3", "kernel_id": "276649"}, {"ref": "yochanan/notebooke993295d45", "kernel_id": "276651"}, {"ref": "vievie31/planet-lbp-color-sobel-feature-extraction", "kernel_id": "269900"}, {"ref": "jihyeseo/image-satellites", "kernel_id": "958660"}, {"ref": "rtochtermann/notebooke579863e9f", "kernel_id": "240251"}, {"ref": "shezan1437/notebookc9852f6555", "kernel_id": "239194"}, {"ref": "shezan1437/notebook3b88892656", "kernel_id": "239196"}, {"ref": "mcantarutti/max-amazon", "kernel_id": "258988"}, {"ref": "srijan5/notebook9c4dfb7938", "kernel_id": "253601"}, {"ref": "junhongxu/notebook99e47fea05", "kernel_id": "258539"}, {"ref": "kizaph/notebook11924a0695", "kernel_id": "242209"}, {"ref": "alphasis/denoising-autoencoder-for-smoothing-images", "kernel_id": "281407"}, {"ref": "alphasis/classify-weather-using-histogram-keras", "kernel_id": "277605"}, {"ref": "bastiaanbergman/notebooke03d729a01", "kernel_id": "253237"}, {"ref": "bastiaanbergman/getting-started-with-the-data", "kernel_id": "252154"}, {"ref": "chrisgill/notebookb5cf81a3b6", "kernel_id": "241318"}, {"ref": "chrisgill/notebookcd71f85edc", "kernel_id": "241319"}, {"ref": "chrisgill/notebook1da13656e4", "kernel_id": "241352"}, {"ref": "dorbicycle/notebooka89748a794", "kernel_id": "239400"}, {"ref": "yixincai/notebook9370d7995c", "kernel_id": "276321"}, {"ref": "tashlinr/notebookdc5195c59e", "kernel_id": "255429"}, {"ref": "mercurelondon/fractals-of-nature-blend-0-90050", "kernel_id": "260699"}, {"ref": "oleksiig/notebook0104502add", "kernel_id": "248414"}, {"ref": "geonanayi/data-exploring-planetlab", "kernel_id": "240115"}, {"ref": "andrzejl/natural-growth-patterns-fractals-of-nature", "kernel_id": "246214"}, {"ref": "fergusoci/loss-based-learning-rate-scheduler-for-keras", "kernel_id": "311631"}, {"ref": "fergusoci/keras-loss-based-learning-rate-scheduler", "kernel_id": "311640"}, {"ref": "abheeman/natural-growth-patterns-fractals-of-nature", "kernel_id": "247687"}, {"ref": "cjansen/u-net-in-keras", "kernel_id": "301250"}, {"ref": "calderty/testing-the-notebooks", "kernel_id": "240282"}, {"ref": "calderty/testing-py", "kernel_id": "240289"}, {"ref": "cetusparibus/simple-keras-starter", "kernel_id": "307399"}, {"ref": "andypicke/getting-started-with-the-data", "kernel_id": "252795"}, {"ref": "minyoungan/notebooka30a8dc8b1", "kernel_id": "239224"}, {"ref": "prakritidevverma/notebook2da7fc31b6", "kernel_id": "240558"}, {"ref": "phoebewang/mosaic", "kernel_id": "254272"}, {"ref": "genieeeeeee/getting-started-with-planet-data", "kernel_id": "253435"}, {"ref": "caozhijie/notebook5c7cda86ca", "kernel_id": "280146"}, {"ref": "mdekauwe/notebook5c80be47ce", "kernel_id": "239819"}, {"ref": "svesal/f2-score-in-python-and-r", "kernel_id": "239983"}, {"ref": "sagarbatchu/notebooke8f0698f18", "kernel_id": "255673"}, {"ref": "statinstilettos/saving-the-rainforest-with-random-forests", "kernel_id": "264258"}, {"ref": "ekami66/0-92837-on-private-lb-solution-with-keras", "kernel_id": "256888"}, {"ref": "jzima7/natural-growth-patterns-fractals-of-nature", "kernel_id": "240661"}, {"ref": "jzima7/blending-models-in-script-form", "kernel_id": "240679"}, {"ref": "jzima7/nothing", "kernel_id": "242387"}, {"ref": "andersy005/data-exploration", "kernel_id": "239659"}, {"ref": "burcht11/notebook515b632e03", "kernel_id": "240101"}, {"ref": "wangqihui/rainforest", "kernel_id": "247717"}, {"ref": "wangqihui/simple-keras-starter", "kernel_id": "248264"}, {"ref": "penmily/fractals-of-nature-blend", "kernel_id": "254465"}, {"ref": "defelix72/getting-started-with-the-data-my-playground", "kernel_id": "245369"}, {"ref": "kentata/notebook3b6435e399", "kernel_id": "239598"}, {"ref": "kentata/data-cleaning-visualization", "kernel_id": "276946"}, {"ref": "idv2005/notebook783bf2853f", "kernel_id": "246326"}, {"ref": "stelehm/first-look", "kernel_id": "239697"}, {"ref": "owendelahoy/notebook48719c13b7", "kernel_id": "241165"}, {"ref": "anovis/notebookeb934f665a", "kernel_id": "258570"}, {"ref": "anovis/getting-started-with-the-data-now-with-docs", "kernel_id": "269404"}, {"ref": "rojre1979/sample-script-xgb", "kernel_id": "242305"}, {"ref": "rojre1979/xgb-starter-lb-0-88232", "kernel_id": "242957"}, {"ref": "pacifik80/notebook51349d9a84", "kernel_id": "239325"}, {"ref": "suhasmallya/making-tifs-look-normal-using-spectral-fork", "kernel_id": "256703"}, {"ref": "moemeo/notebookeab4e1ee8a", "kernel_id": "239248"}, {"ref": "taylorwilliams/notebookefd2b02473", "kernel_id": "248509"}, {"ref": "chestnut3108/amazon-uncovered", "kernel_id": "264769"}, {"ref": "chestnut3108/notebook4c6e82ad8a", "kernel_id": "240545"}, {"ref": "caitiwest/simple-keras-starter", "kernel_id": "251271"}, {"ref": "musella/notebooka3cd65d6df", "kernel_id": "254021"}, {"ref": "musella/labels-exploration", "kernel_id": "254023"}, {"ref": "ironicmtn/visualizing-multiband-training-data-with-karta", "kernel_id": "242621"}, {"ref": "hawk0125/notebook3b974e924a", "kernel_id": "245386"}, {"ref": "shams858/notebook3cd388a7fb", "kernel_id": "265535"}, {"ref": "mathewsavage/notebookb6c0a8a669", "kernel_id": "239341"}, {"ref": "mathewsavage/dataset-investigation", "kernel_id": "239290"}, {"ref": "danielchen26/notebook5ebf0541e7", "kernel_id": "252123"}, {"ref": "localsymmetry/finding-mistagged-images", "kernel_id": "267689"}, {"ref": "davelee/natural-growth-patterns-fractals-of-nature", "kernel_id": "251654"}, {"ref": "rishikesh69/notebookac41aeaef6", "kernel_id": "239932"}, {"ref": "ahmedanis03/fractals-of-nature-blend-0-89805", "kernel_id": "246856"}, {"ref": "aematia/notebookbdb87eb73c", "kernel_id": "265001"}, {"ref": "aematia/notebook2a1361356a", "kernel_id": "264083"}, {"ref": "aematia/notebook056cf048c1", "kernel_id": "263784"}, {"ref": "aematia/notebook33be12cc1d", "kernel_id": "272444"}, {"ref": "aematia/notebook0ac970f15b", "kernel_id": "267570"}, {"ref": "darrellulm/new-test-run-of-keras-optim", "kernel_id": "274466"}, {"ref": "darrellulm/multilabel-classification-rainforest-eda", "kernel_id": "247603"}, {"ref": "darrellulm/xgb-starter-lb-0-88232", "kernel_id": "242453"}, {"ref": "darrellulm/keras-another-test-run", "kernel_id": "287328"}, {"ref": "tanjingvip/keras-cv-optim", "kernel_id": "252260"}, {"ref": "tanjingvip/notebookb7845a1aac", "kernel_id": "253011"}, {"ref": "tanjingvip/multilabel-classification", "kernel_id": "253012"}, {"ref": "donmai/data-exploration-analysis-6d97bf", "kernel_id": "261672"}, {"ref": "donmai/notebook09479c9b85", "kernel_id": "258568"}, {"ref": "reddisanjeevkumar/notebook9ab0cd4f8f", "kernel_id": "242314"}, {"ref": "reddisanjeevkumar/notebook9f73d57d6c", "kernel_id": "242312"}, {"ref": "clarkchong/keras-starter-code-in-notebook", "kernel_id": "271754"}, {"ref": "clarkchong/fan-fei-s-grocery-understanding-mean-baseline", "kernel_id": "256299"}, {"ref": "clarkchong/keras-pre-trained-inception-v3-in-notebook", "kernel_id": "285277"}, {"ref": "williamgomex/notebookfd48990e52", "kernel_id": "248476"}, {"ref": "omgitssyuniko/heiheihei", "kernel_id": "254231"}, {"ref": "lpachuong/fork-of-keras-cv", "kernel_id": "246329"}, {"ref": "lpachuong/xgb-starter-lb-0-88715", "kernel_id": "245605"}, {"ref": "lpachuong/keras-cv-optim", "kernel_id": "246029"}, {"ref": "snojekba/demo-planet-smn", "kernel_id": "239292"}, {"ref": "mratsim/starting-kit-for-pytorch-deep-learning", "kernel_id": "242893"}, {"ref": "nicolasfo/analyse-weather-conditions", "kernel_id": "259318"}, {"ref": "nicolasfo/cloudy-classifications", "kernel_id": "265577"}, {"ref": "yerne39/multilabel-classification-rainforest-eda", "kernel_id": "266676"}, {"ref": "acetherace/fractals-of-nature-blend-0-90050", "kernel_id": "254148"}, {"ref": "acetherace/xgb-starter-lb-0-88232", "kernel_id": "247099"}, {"ref": "fppkaggle/exploring-clear-vs-hazy-images-no-shuffle", "kernel_id": "246414"}, {"ref": "fppkaggle/making-tifs-look-normal-using-spectral-fork", "kernel_id": "255870"}, {"ref": "buaagaojie/notebookc7d18b90b3", "kernel_id": "248908"}, {"ref": "mikyuu/notebooke3af495445", "kernel_id": "241122"}, {"ref": "jsiska10/getting-started-with-the-data-download", "kernel_id": "263546"}, {"ref": "jiujing23333/starting-kit-for-pytorch-deep-learning", "kernel_id": "248119"}, {"ref": "whistler/notebook2bf0af4bb6", "kernel_id": "259201"}, {"ref": "rosettast/notebook27bfd3ebc5", "kernel_id": "255789"}, {"ref": "gugzkumar/notebookdeb8556557", "kernel_id": "244351"}, {"ref": "ajaykumarmvk0712/data-analysis", "kernel_id": "258685"}, {"ref": "aidenvj/data-frame-from-images", "kernel_id": "310210"}, {"ref": "aidenvj/initial-data-organizing", "kernel_id": "310181"}, {"ref": "aidenvj/combine-data-and-build-first-model", "kernel_id": "311811"}, {"ref": "kapilyadav/notebook7182a94ff7", "kernel_id": "239736"}, {"ref": "aharless/how-to-get-to-the-top-14-in-a-week", "kernel_id": "317123"}, {"ref": "aharless/combining-thresholding", "kernel_id": "317149"}, {"ref": "valencar/getting-started-with-the-data-now-with-docs", "kernel_id": "242939"}, {"ref": "valencar/fork-of-getting-started-with-the-data-now-with-d", "kernel_id": "242945"}, {"ref": "shariqfarooq/notebook34c22d2400", "kernel_id": "258383"}, {"ref": "northomas/first-try-using-keras-cnn", "kernel_id": "239323"}, {"ref": "prabakarsubramani/notebook8899417316", "kernel_id": "240076"}, {"ref": "sunnycrane/xgb-starter", "kernel_id": "256682"}, {"ref": "reallee/natural-growth-patterns-fractals-of-nature", "kernel_id": "242898"}, {"ref": "cseale/playing-with-the-tiff-data", "kernel_id": "242485"}, {"ref": "cseale/cloudy-classification", "kernel_id": "242479"}, {"ref": "camrutha/data-analysis", "kernel_id": "259973"}, {"ref": "camrutha/initial", "kernel_id": "259974"}, {"ref": "rmnfournier/notebooka009451b94", "kernel_id": "246448"}, {"ref": "brookisme/notebook035022eef7", "kernel_id": "245156"}, {"ref": "neglectos/notebook12bd8b21f4", "kernel_id": "251440"}, {"ref": "sachgupta/test-script", "kernel_id": "258933"}, {"ref": "brendena/getting-started-with-the-data-now-with-docs", "kernel_id": "247150"}, {"ref": "manishsaraswat/finally-starting-off", "kernel_id": "306101"}, {"ref": "manishsaraswat/doing-with-keras", "kernel_id": "306124"}, {"ref": "jzchai/notebook81879926d2", "kernel_id": "241353"}, {"ref": "nicorahm/exploring-the-data", "kernel_id": "258188"}, {"ref": "akmanchianand/notebook3ac24e490f", "kernel_id": "239721"}, {"ref": "jacksonshi/notebook283d35f36b", "kernel_id": "257120"}, {"ref": "dokany/amazon-keras-on-extracted-features", "kernel_id": "256800"}, {"ref": "dokany/fractals-of-nature-blend-0-90050", "kernel_id": "254000"}, {"ref": "teasherm/keras-metric-for-f-score-tf-only", "kernel_id": "263641"}, {"ref": "cc786537662/initial-eda-image-processing", "kernel_id": "285911"}, {"ref": "maen89/notebookebefa7961a", "kernel_id": "239485"}, {"ref": "peterdolan/notebooke5149700cd", "kernel_id": "240313"}, {"ref": "idrismunir/notebook2b3f9990a6", "kernel_id": "239330"}, {"ref": "shaoanlu/train-valid-split-using-kmeans", "kernel_id": "239796"}, {"ref": "siddsdixit/keras-starter-code-in-notebook", "kernel_id": "283749"}, {"ref": "summerjets/notebookf76f7405e8", "kernel_id": "267429"}, {"ref": "parasbansal33/notebookf5b013bda2", "kernel_id": "251317"}, {"ref": "parasbansal33/test0", "kernel_id": "251318"}, {"ref": "joelhanson/notebook6387fb35ab", "kernel_id": "240321"}, {"ref": "joelhanson/notebookeafd449247", "kernel_id": "240072"}, {"ref": "lastmagic/natural-growth-patterns-fractals-of-nature", "kernel_id": "241801"}, {"ref": "zhangjb/pytorch-baseline-model-0-916", "kernel_id": "301429"}, {"ref": "zhangjb/data-exploration-analysis-bbd192", "kernel_id": "286926"}, {"ref": "pinder/data-exploration-analysis", "kernel_id": "252475"}, {"ref": "ldj6692240/planetamazon", "kernel_id": "274870"}, {"ref": "xuhaozhi/multilabel-classification-rainforest-eda", "kernel_id": "242592"}, {"ref": "xuhaozhi/fixed-f2-score-in-python", "kernel_id": "252994"}, {"ref": "xuhaozhi/f-beta-score-for-keras", "kernel_id": "253034"}, {"ref": "chrisscharpenberg/test-image-output", "kernel_id": "274581"}, {"ref": "asmotiwa/notebook2c1c16b38f", "kernel_id": "267931"}, {"ref": "brainmachine/planet-image-classifier-wip", "kernel_id": "242701"}, {"ref": "brainmachine/notebookd203bce6f2", "kernel_id": "242713"}, {"ref": "will7king/notebook17ffd91038", "kernel_id": "243233"}, {"ref": "jamesrequa/f-beta-callback-for-keras", "kernel_id": "304774"}, {"ref": "jsyqrt/natural-growth-patterns-fractals-of-nature", "kernel_id": "241124"}, {"ref": "famousengineerwolf/notebook3c307948e2", "kernel_id": "243837"}, {"ref": "zhanglj/fractals-of-nature-blend-0-89805", "kernel_id": "248120"}, {"ref": "saksham219/satellite-amazon-model-keras-vgg19-adam", "kernel_id": "876692"}, {"ref": "saksham219/plotting-random-satellite-images", "kernel_id": "864200"}, {"ref": "dezbot/data-exploration-analysis", "kernel_id": "239375"}, {"ref": "jiamingliu/fractals-of-nature-blend-0-90050", "kernel_id": "259962"}, {"ref": "shubhmeet/notebook", "kernel_id": "246679"}, {"ref": "jponte/notebook33e2521f4f", "kernel_id": "240733"}, {"ref": "jponte/basic-exploration", "kernel_id": "247000"}, {"ref": "ralshehhi/keras-cv", "kernel_id": "248305"}, {"ref": "ralshehhi/test-glcm", "kernel_id": "248292"}, {"ref": "prasadjoglekar/pj-s-test", "kernel_id": "240683"}, {"ref": "prasadjoglekar/notebook33b9cfaeb1", "kernel_id": "240615"}, {"ref": "cpattekar/notebook-for-amazon", "kernel_id": "240554"}, {"ref": "cpattekar/amazon-keras-on-extracted-features", "kernel_id": "246806"}, {"ref": "devinntaylor/initial-look-at-data", "kernel_id": "239238"}, {"ref": "syeddanish/stratified-validation-split", "kernel_id": "299575"}, {"ref": "misenholt/amazon-cloud-detection", "kernel_id": "257886"}, {"ref": "mirandalv/natural-growth-patterns-fractals-of-nature", "kernel_id": "244419"}, {"ref": "mirandalv/simple-keras-starter", "kernel_id": "249975"}, {"ref": "chronius/testing", "kernel_id": "255596"}, {"ref": "dianereynolds/learning-as-i-go", "kernel_id": "246537"}, {"ref": "buzzolord/kappa", "kernel_id": "265196"}, {"ref": "guitarfreak/notebook4d4be83194", "kernel_id": "249667"}, {"ref": "lzzduke06/notebook06961ea3e3", "kernel_id": "239381"}, {"ref": "imwild/notebook737fcc0cf8", "kernel_id": "239366"}, {"ref": "htmdinh/planet-amazon", "kernel_id": "239991"}, {"ref": "jangorjanc/data-exploration-analysis", "kernel_id": "239962"}, {"ref": "jessecolinscott/planet-image-classifier-wip", "kernel_id": "239954"}, {"ref": "danielmatthews/notebookc732854082", "kernel_id": "240117"}, {"ref": "ejeronimus/3-months-of-r", "kernel_id": "247875"}, {"ref": "kneevel/usetrees2savetrees", "kernel_id": "240780"}, {"ref": "kneevel/usetrees2savetreescoolbro", "kernel_id": "240778"}, {"ref": "codepuree/data-analysis", "kernel_id": "246320"}, {"ref": "adavitt/notebookaa58cd2c20", "kernel_id": "248644"}, {"ref": "adavitt/getting-started-with-the-data-my-version-5-12", "kernel_id": "248651"}, {"ref": "robsun/notebook8c89341772", "kernel_id": "242746"}, {"ref": "pavangeo/notebook95100e20dd", "kernel_id": "244687"}, {"ref": "velumaniduraisamy/testing", "kernel_id": "244143"}, {"ref": "chris471/basic-brightness-augmentation", "kernel_id": "291446"}, {"ref": "lucidata/data-exploration-analysis", "kernel_id": "255277"}, {"ref": "lucidata/multilabel-classification-rainforest-eda", "kernel_id": "255445"}, {"ref": "neuromisha/fractals-of-nature-blend-0-90050", "kernel_id": "254077"}, {"ref": "aliakseimakarau/run-1", "kernel_id": "247526"}, {"ref": "aliakseimakarau/run-2", "kernel_id": "247529"}, {"ref": "jj1234/fractals-of-nature-blend-v2", "kernel_id": "254081"}, {"ref": "jj1234/fractals-of-nature-blend-0-90050", "kernel_id": "254014"}, {"ref": "sufex00/kaggle-amazonia", "kernel_id": "309706"}, {"ref": "yuxuanzhao/test2", "kernel_id": "259384"}, {"ref": "yuxuanzhao/analyse-weather-conditions-1385c2", "kernel_id": "263001"}, {"ref": "yuxuanzhao/notebookfa03eb86df", "kernel_id": "262979"}, {"ref": "yuxuanzhao/weather-condition", "kernel_id": "262969"}, {"ref": "yuxuanzhao/analyse-tag-agriculture-and-road", "kernel_id": "266297"}, {"ref": "pminsofe/notebook70dae7cf4e", "kernel_id": "279366"}, {"ref": "felipesens/notebook8ed5271312", "kernel_id": "270933"}, {"ref": "ggg411/getting-started-with-the-data-now-with-docs", "kernel_id": "255769"}, {"ref": "igglushkov/amazon-test", "kernel_id": "273618"}, {"ref": "cdcadman/test-best-threshold-finder", "kernel_id": "284503"}, {"ref": "jinyikenn/notebook79b270704d", "kernel_id": "261845"}, {"ref": "jinyikenn/notebook7d42591945", "kernel_id": "262987"}, {"ref": "jinyikenn/notebook0325fbe2e5", "kernel_id": "265677"}, {"ref": "jinyikenn/notebookc5d90d1ba0", "kernel_id": "257768"}, {"ref": "jinyikenn/test-image", "kernel_id": "257836"}, {"ref": "jinyikenn/cloudy-classifications", "kernel_id": "265825"}, {"ref": "jinyikenn/aaaaa", "kernel_id": "265965"}, {"ref": "jinyikenn/notebook422faf7caf", "kernel_id": "266273"}, {"ref": "jinyikenn/notebookbdb59aa3a3", "kernel_id": "266459"}, {"ref": "dgrazian/notebooke46e08811d", "kernel_id": "258569"}, {"ref": "alexche/notebook6f287ed3d7", "kernel_id": "258290"}, {"ref": "marianmazarovici/getting-started-with-the-data-now-with-docs", "kernel_id": "259063"}, {"ref": "shivamsaboo17/amazon-from-space-using-fastai", "kernel_id": "977149"}, {"ref": "gpoe96/notebookd39a191de3", "kernel_id": "276334"}, {"ref": "sadainiqrar/notebook2c7736734f", "kernel_id": "268620"}, {"ref": "sadainiqrar/classification-using-tensorflow-1-0", "kernel_id": "269241"}, {"ref": "syedosman/logistic-regression-classification", "kernel_id": "269814"}, {"ref": "sharry1/notebook17d7e723cb", "kernel_id": "274180"}, {"ref": "supton/notebook4cba33ee83", "kernel_id": "268323"}, {"ref": "technigami/planetwatch-proto", "kernel_id": "272528"}, {"ref": "andreab330/notebookc1881c30b8", "kernel_id": "276861"}, {"ref": "infinitewing/keras-solution-and-my-experience-0-92664", "kernel_id": "316904"}, {"ref": "petrosgk/1st-try-with-keras-0-918-lb", "kernel_id": "286218"}, {"ref": "petrosgk/keras-vgg19-0-93028-private-lb", "kernel_id": "315928"}, {"ref": "petrosgk/ensemble-voting-from-submission-files", "kernel_id": "315732"}, {"ref": "joshuabeard/98point6-amazon", "kernel_id": "308280"}, {"ref": "clavito/amazon", "kernel_id": "298365"}, {"ref": "xirlomachine/planet-data-exploration-amazon-from-space", "kernel_id": "304863"}, {"ref": "ambarish/amazon-from-space-image-analysis-2", "kernel_id": "1626800"}, {"ref": "ambarish/nature-conservancy-fisheries-image-analysis", "kernel_id": "1627512"}, {"ref": "ambarish/amazon-from-space-image-analysis", "kernel_id": "1625508"}, {"ref": "renatoh/read-data-pucp", "kernel_id": "1768333"}, {"ref": "estebanguillen/planet", "kernel_id": "1417530"}, {"ref": "suraj2596/ai6-blore-w6-fast-ai-lesson-3", "kernel_id": "1698913"}, {"ref": "hortonhearsafoo/fast-ai-lesson-2", "kernel_id": "1373369"}, {"ref": "puneetgrover/planet-amazon-from-space-using-fastai-0-92722", "kernel_id": "1518296"}, {"ref": "glarrea/read-data-pucp", "kernel_id": "1782696"}, {"ref": "princeashburton/fast-ai-lesson-2-multi-label-classification", "kernel_id": "1466665"}, {"ref": "golddigger1943/golddigger-s-planet", "kernel_id": "1777531"}, {"ref": "dylan20williams/cse470f-project-1", "kernel_id": "1952433"}, {"ref": "mouinul/kernel4aace07902", "kernel_id": "1854953"}, {"ref": "sahuja295/planet-understanding-the-amazon-from-space", "kernel_id": "1941278"}, {"ref": "cindithompson/modeling-the-amazon", "kernel_id": "2938856"}, {"ref": "danielnbarbosa/fast-ai-v1-2019-on-planet", "kernel_id": "2886187"}, {"ref": "patthoo/fast-ai-lesson-2", "kernel_id": "2231739"}, {"ref": "dczerniawko/cnn-vgg-resnet-0-89770", "kernel_id": "2591110"}, {"ref": "moosecat/fast-ai-v1-0-understanding-the-planet", "kernel_id": "2439717"}, {"ref": "shanekonaung/fastai-dl-lesson-2", "kernel_id": "2147593"}, {"ref": "jcarrillo/machine-learning-for-geospatial-data-workshop-2a", "kernel_id": "2928029"}, {"ref": "hataltinok/resnet-c63f0f", "kernel_id": "2495578"}, {"ref": "hataltinok/vgg16", "kernel_id": "2495398"}, {"ref": "fahadwaterloo/machine-learning-for-geospatial-data-workshop-2a", "kernel_id": "2940073"}, {"ref": "chiyuancheng/planet-amazon", "kernel_id": "3146378"}, {"ref": "dipam7/multi-label-classification-using-fastai", "kernel_id": "3020364"}, {"ref": "sanchit2843/kernel86f789f32c", "kernel_id": "3434936"}, {"ref": "hugorcf/fast-ai-v3-lesson-3-planet", "kernel_id": "3057738"}, {"ref": "liuyd2018/planet-multi-label-image-classification", "kernel_id": "3087866"}, {"ref": "stevenvoo/planet-amazon", "kernel_id": "3543117"}, {"ref": "harishvutukuri/planet-fast-ai", "kernel_id": "3123391"}, {"ref": "hylkedezee/cnn-test", "kernel_id": "3448016"}, {"ref": "droid021/can-we-save-the-rainforest", "kernel_id": "3854920"}, {"ref": "praveenniyogi/planet", "kernel_id": "4082465"}, {"ref": "bundio/fast-ai-v3-lesson-3-planet-w-fp16", "kernel_id": "4000636"}, {"ref": "prateekjha/amazon-transfer-learning", "kernel_id": "4212546"}, {"ref": "mylo0122/kernel-binario-nubes-bosque", "kernel_id": "4215429"}, {"ref": "kokyew93/novartis-session-2", "kernel_id": "4215320"}, {"ref": "kokyew93/novartis-session-1", "kernel_id": "4210169"}, {"ref": "dnmanveet/multi-label-fastai-planet", "kernel_id": "4072821"}, {"ref": "notyourbusiness/kernel9a3d98ef20", "kernel_id": "5107951"}, {"ref": "eumiejhong/kernel9a3d98ef20", "kernel_id": "5067526"}, {"ref": "eumiejhong/kernel9a3d98ef20-5cda7b", "kernel_id": "5108736"}, {"ref": "himanshuladia/kernel74760a1aa7", "kernel_id": "6388995"}, {"ref": "stellargo/three3tres", "kernel_id": "6425805"}, {"ref": "ngupta23/planet-satellite-images-using-fastai", "kernel_id": "6500205"}, {"ref": "dhgupta/planet-understanding", "kernel_id": "6149462"}, {"ref": "yuempark/kernel4bd78b2d65", "kernel_id": "6630455"}, {"ref": "marcossantanauff/planet-eda-fastai", "kernel_id": "6766146"}, {"ref": "leangza/kernel23f7b9895e", "kernel_id": "7049948"}, {"ref": "zhangyu131412/kernel53bd9c5815", "kernel_id": "7128766"}, {"ref": "sylwiamielnicka/getting-started-with-the-data", "kernel_id": "8208822"}, {"ref": "chaewoon/vgg16-train-model", "kernel_id": "8017272"}, {"ref": "datascientistrdb/amazon-from-space-image-analysis-2", "kernel_id": "9875021"}, {"ref": "mikerupert/planet", "kernel_id": "9976320"}, {"ref": "abhishekydav/amazon-form-space-classification", "kernel_id": "10851797"}, {"ref": "emmanuelndahimana/hamoye-satge-d", "kernel_id": "11766057"}, {"ref": "sharonibejih/amazon-from-space", "kernel_id": "11754990"}, {"ref": "ezeokegodswill/labeling-satellite-images", "kernel_id": "11794842"}, {"ref": "juneyoungong/1st-time-of-keras-project", "kernel_id": "11709560"}, {"ref": "adepojudotun/notebookc44fbd3f0c", "kernel_id": "11714712"}, {"ref": "deztrucktor/planet-k009-resnet50", "kernel_id": "12682506"}, {"ref": "slm37102/0-93-multi-category-planet-dataset-fast-ai", "kernel_id": "12274618"}, {"ref": "deztrucktor/planet-k020-haze-removal", "kernel_id": "13170590"}, {"ref": "fanbyprinciple/fastai-v4-torrent-download", "kernel_id": "13142967"}, {"ref": "tenzinmigmar/understanding-the-amazon-from-space-w-mlc", "kernel_id": "14976660"}, {"ref": "finlay/planet-datasplit-and-baseline-model", "kernel_id": "15344417"}, {"ref": "sateeshteppala/multi-category-planet-dataset-fast-ai", "kernel_id": "17923145"}, {"ref": "sateeshteppala/fast-ai-v3-lesson-3-planet", "kernel_id": "18085665"}, {"ref": "sonaliarora/hamoye-internship-planet-amazon", "kernel_id": "21392288"}, {"ref": "prosperchuks/mod-2", "kernel_id": "21447686"}, {"ref": "paulakangbe/amazon-form-space-classification", "kernel_id": "21356491"}, {"ref": "cleaabello/mlb-mode-pba", "kernel_id": "22113359"}, {"ref": "vincentmaladiere/pytorch-resnet18-0-93", "kernel_id": "24940654"}, {"ref": "lukemahan/fast-ai-lesson-2", "kernel_id": "24769289"}, {"ref": "cccorbett/planet-data-and-fastai-simple", "kernel_id": "27513925"}, {"ref": "gargvg/understanding-amazon-from-space-vgg16-resnet50", "kernel_id": "30601255"}, {"ref": "hygorfernando/human-activity-amazon-forest-exploratory-analysis", "kernel_id": "30720026"}, {"ref": "hygorfernando/atividade-7", "kernel_id": "30995347"}, {"ref": "hygorfernando/projeto-final", "kernel_id": "31638882"}, {"ref": "nisadvianiii17/labeling-rainforest", "kernel_id": "32451490"}, {"ref": "nisadvianiii17/labelingrainforest", "kernel_id": "32483028"}, {"ref": "greeshuuu/analyzing-amazon-using-cnn", "kernel_id": "34181891"}, {"ref": "gideonmuazu/notebook5403cc3fe2", "kernel_id": "34168635"}, {"ref": "christiantanph/satellite-image-classification-with-cnns-p-a-e", "kernel_id": "34026939"}, {"ref": "emekeh/planet-dataset-stage-d", "kernel_id": "35589474"}, {"ref": "manjuswaroop/amazon-challenge", "kernel_id": "36164991"}, {"ref": "bolusunday/notebook1a2829773a", "kernel_id": "36251844"}, {"ref": "jenilkumbhani/notebook1a2829773a", "kernel_id": "37423022"}, {"ref": "bozhidarivanov/salatka", "kernel_id": "39561753"}, {"ref": "ridwanabdurahman/planet-understanding-the-amazon-from-space", "kernel_id": "41170226"}, {"ref": "himanshukumar7079/planet-satellite-image-pred", "kernel_id": "41233357"}, {"ref": "cereal1234/major-project-stage1", "kernel_id": "47362612"}, {"ref": "maheshwarbhosale/haze-removal-using-dark-channel-prior-f307a5", "kernel_id": "48139600"}, {"ref": "crownz1/notebook77e728eae0", "kernel_id": "58946740"}, {"ref": "p25rishabh/planet-amazon-satellite-image", "kernel_id": "66530682"}, {"ref": "anandagunawan1166/geoai-project-2", "kernel_id": "72006830"}, {"ref": "aloysiusoktavian/proyek-ai", "kernel_id": "83591139"}]}
{"competition_id": "6334", "kernels": []}
{"competition_id": "6341", "kernels": []}
{"competition_id": "6356", "kernels": []}
{"competition_id": "6387", "kernels": []}
{"competition_id": "6392", "kernels": [{"ref": "alexxanderlarko/lol-tell-me-more02", "kernel_id": "275989"}, {"ref": "alexxanderlarko/sb-lgb", "kernel_id": "248090"}, {"ref": "alexxanderlarko/data-pyt", "kernel_id": "246231"}, {"ref": "mjahrer/naive-xgb", "kernel_id": "248280"}, {"ref": "spandit/data-exploration-in-python", "kernel_id": "245995"}, {"ref": "konradb/adversarial-validation-and-other-scary-terms", "kernel_id": "249932"}, {"ref": "mt77pp/notebookf7c5d94f15", "kernel_id": "245863"}, {"ref": "breakfastpirate/naive-xgb", "kernel_id": "249970"}, {"ref": "lujing/attempt-to-reproduce-my-best-lb-score", "kernel_id": "273780"}, {"ref": "lujing/an-updated-collection-of-new-features", "kernel_id": "266774"}, {"ref": "lujing/use-partial-pca-for-collinearity-lb-0-328-w-xgb", "kernel_id": "253356"}, {"ref": "nigelcarpenter/lat-and-longitude-for-all-locations", "kernel_id": "266766"}, {"ref": "nigelcarpenter/cleaning-the-data-using-latitude-and-longitude", "kernel_id": "272387"}, {"ref": "nigelcarpenter/plotly-experiment", "kernel_id": "258275"}, {"ref": "nigelcarpenter/identifying-property-location", "kernel_id": "264273"}, {"ref": "nigelcarpenter/property-location-attempt-3", "kernel_id": "264671"}, {"ref": "n3n77i/barebones-ptiii", "kernel_id": "249029"}, {"ref": "n3n77i/barebones-ptii", "kernel_id": "247248"}, {"ref": "n3n77i/barebones-jul", "kernel_id": "246610"}, {"ref": "n3n77i/p3fork", "kernel_id": "255739"}, {"ref": "n3n77i/monolith-p5", "kernel_id": "260064"}, {"ref": "n3n77i/kineticcat", "kernel_id": "262551"}, {"ref": "n3n77i/catalyth", "kernel_id": "263905"}, {"ref": "mesolithic/xgb-1", "kernel_id": "246516"}, {"ref": "mesolithic/spotting-the-irregularities", "kernel_id": "245265"}, {"ref": "jguerreiro/notebookb3a6538618", "kernel_id": "259972"}, {"ref": "jguerreiro/notebook076b973f6c", "kernel_id": "259497"}, {"ref": "jguerreiro/alternative-attempt", "kernel_id": "259605"}, {"ref": "jguerreiro/notebookfe45a54d0c", "kernel_id": "259690"}, {"ref": "jguerreiro/notebookf4eab8548c", "kernel_id": "259042"}, {"ref": "jguerreiro/outliers", "kernel_id": "258946"}, {"ref": "jguerreiro/notebook47d1b7d4fe", "kernel_id": "256875"}, {"ref": "jguerreiro/sberbank-first-attempt", "kernel_id": "256972"}, {"ref": "pomber/naive-xgb-with-build-age", "kernel_id": "271682"}, {"ref": "pomber/notebookfca236c807", "kernel_id": "246236"}, {"ref": "killerkady/notebookfab990b669", "kernel_id": "256780"}, {"ref": "datacanary/naive-xgb-with-data-cleaning-0-320-lb-a539d6", "kernel_id": "271165"}, {"ref": "datacanary/naive-xgb-with-data-cleaning-0-320-lb", "kernel_id": "271119"}, {"ref": "duanlian/notebook76e583bbcb", "kernel_id": "258349"}, {"ref": "duanlian/notebook0b94006e91", "kernel_id": "258360"}, {"ref": "duanlian/notebookde6c3be225", "kernel_id": "258394"}, {"ref": "rztv001/silly-silly-data", "kernel_id": "279105"}, {"ref": "tobikaggle/naive-xgb-12ae5c", "kernel_id": "251999"}, {"ref": "tobikaggle/naive-xgb", "kernel_id": "251199"}, {"ref": "tobikaggle/naive-xgb-lb-0-317", "kernel_id": "245891"}, {"ref": "liderchang/naive-xgb-4d962c", "kernel_id": "253685"}, {"ref": "vv0x0x/sberbank", "kernel_id": "273232"}, {"ref": "preeth/notebook21613a2308", "kernel_id": "249432"}, {"ref": "valadi/silly-games-modified", "kernel_id": "276335"}, {"ref": "valadi/latest-iteration-in-this-silly-game-new-params", "kernel_id": "275642"}, {"ref": "valadi/xgb-follow-modified", "kernel_id": "274894"}, {"ref": "valadi/xgb-russ-house-modified-params", "kernel_id": "271935"}, {"ref": "valadi/latest-iteration-in-this-silly-game", "kernel_id": "287894"}, {"ref": "valadi/latest-iteration-in-this-silly-game-vkj", "kernel_id": "287994"}, {"ref": "valadi/probabilistic-version-of-small-improvements", "kernel_id": "290780"}, {"ref": "valadi/jiwon-small-improvements-for-magic-number-res-mod", "kernel_id": "290750"}, {"ref": "valadi/magic-numbers-modi", "kernel_id": "290765"}, {"ref": "valadi/latest-iteration-in-this-silly-game-mod2", "kernel_id": "290902"}, {"ref": "valadi/magic-numbers-try-different", "kernel_id": "292684"}, {"ref": "valadi/jiwon-small-improvements-tune", "kernel_id": "293505"}, {"ref": "valadi/magic-numbers-new-change-addvars-jay", "kernel_id": "297669"}, {"ref": "valadi/magic-numbers-new-change", "kernel_id": "294127"}, {"ref": "valadi/jiwon-small-improvements-new-change", "kernel_id": "294149"}, {"ref": "valadi/jiwon-magic-tune", "kernel_id": "294409"}, {"ref": "valadi/exercising-the-exorcism-change-seed", "kernel_id": "295684"}, {"ref": "valadi/magic-numbers-add-vars-change", "kernel_id": "296160"}, {"ref": "snassimr/xgboost-script-1", "kernel_id": "261444"}, {"ref": "snassimr/map-visualizations-with-external-shapefile", "kernel_id": "259043"}, {"ref": "snassimr/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "259044"}, {"ref": "snassimr/xgb-lets-try-clean-2", "kernel_id": "267438"}, {"ref": "dex314/magic-numbers-new-change-additional-vars", "kernel_id": "295231"}, {"ref": "ranlocar/linear-regressions", "kernel_id": "262982"}, {"ref": "ranlocar/notebook5051a9cdb3", "kernel_id": "262986"}, {"ref": "ranlocar/naive-xgb-based-on-2015-data", "kernel_id": "262872"}, {"ref": "ranlocar/notebookf8daad04bd", "kernel_id": "262784"}, {"ref": "ranlocar/xgb-russ-house-modified-params", "kernel_id": "272272"}, {"ref": "kmader/simple-automl-test-with-tpot", "kernel_id": "255658"}, {"ref": "harwester/sberbankhousingmarket-xgb", "kernel_id": "261538"}, {"ref": "sudalairajkumar/simple-exploration-notebook-sberbank", "kernel_id": "245182"}, {"ref": "sudalairajkumar/feature-engineering-validation-strategy", "kernel_id": "245345"}, {"ref": "agrawalvikas/sberbank-price", "kernel_id": "278604"}, {"ref": "agrawalvikas/eda-focus-on-missing-values-and-simple-xgb", "kernel_id": "278605"}, {"ref": "gnilly/sber-eda", "kernel_id": "245083"}, {"ref": "satyaprakash1986/feature-viz", "kernel_id": "246904"}, {"ref": "ofdomejean/some-patterns-in-missing-data", "kernel_id": "257878"}, {"ref": "dmvoit/test-notebook", "kernel_id": "254109"}, {"ref": "dmvoit/xgb-cv-for-2015", "kernel_id": "278143"}, {"ref": "gorniabrek/longitude-and-latitude-for-sub-areas", "kernel_id": "259853"}, {"ref": "lokendradevangan/housing-price-feature-selection", "kernel_id": "247632"}, {"ref": "lokendradevangan/housing-price-notebook", "kernel_id": "253040"}, {"ref": "akilaw/silly-silly-data", "kernel_id": "277475"}, {"ref": "akilaw/naive-xgb-lb-0-317", "kernel_id": "245169"}, {"ref": "aamaia/quick-view", "kernel_id": "245090"}, {"ref": "ceshine/simple-xgboost-btb-0-32", "kernel_id": "247201"}, {"ref": "philschmidt/interactive-visualizations", "kernel_id": "245757"}, {"ref": "simpetre/notebookf69d6173e2", "kernel_id": "261418"}, {"ref": "anchagarwal/simple-exploration-notebook-sberbank", "kernel_id": "252661"}, {"ref": "danofer/magic-numbers-new-change-additional-vars", "kernel_id": "295362"}, {"ref": "danofer/exercising-the-exorcism", "kernel_id": "296111"}, {"ref": "danofer/predict-house-sale-price", "kernel_id": "296112"}, {"ref": "danofer/jiwon-small-improvements-for-magic-number-results", "kernel_id": "294475"}, {"ref": "postlogist/notebook4c92cfeb32", "kernel_id": "249380"}, {"ref": "rouseguy/naive-xgb-lb-0-317", "kernel_id": "246271"}, {"ref": "cetrulin/eda-with-python", "kernel_id": "265597"}, {"ref": "avishek/fork-of-naive-xgb-increase-depth", "kernel_id": "247642"}, {"ref": "avishek/naive-xgb-apal", "kernel_id": "247561"}, {"ref": "avishek/fork-of-naive-xgb-pal-hyper-params", "kernel_id": "251327"}, {"ref": "avishek/fork-of-naive-xgb-apal-log-trans1", "kernel_id": "249696"}, {"ref": "avishek/fork-of-naive-xgb-apal-higher-learning-rate", "kernel_id": "254236"}, {"ref": "avishek/fork-of-fork-of-naive-xgb-apal-lower-rate", "kernel_id": "254256"}, {"ref": "slimelearn/notebook94675418f5", "kernel_id": "262919"}, {"ref": "sbairishal/notebook53a6ba85f7", "kernel_id": "277979"}, {"ref": "sbairishal/1st-attempt", "kernel_id": "277461"}, {"ref": "sbairishal/data-preparation-for-sberbank", "kernel_id": "248625"}, {"ref": "harjeet/russian-housing-prices", "kernel_id": "260131"}, {"ref": "freezing/testing", "kernel_id": "252489"}, {"ref": "viveksrinivasan/eda-focus-on-missing-values-and-simple-xgb", "kernel_id": "251390"}, {"ref": "timhenry/xgb-11-resubm", "kernel_id": "280907"}, {"ref": "timhenry/xgb-23", "kernel_id": "276908"}, {"ref": "timhenry/xgb-5th-june-v1", "kernel_id": "276899"}, {"ref": "timhenry/xgb-7-wsef", "kernel_id": "276568"}, {"ref": "timhenry/naive-xgb-lb-0-317-efg", "kernel_id": "263187"}, {"ref": "timhenry/xgb-8", "kernel_id": "263126"}, {"ref": "timhenry/xgb-7", "kernel_id": "262885"}, {"ref": "timhenry/xgb-11", "kernel_id": "264058"}, {"ref": "timhenry/classic", "kernel_id": "263537"}, {"ref": "timhenry/xgb-v9", "kernel_id": "263591"}, {"ref": "timhenry/sdfgge", "kernel_id": "264883"}, {"ref": "timhenry/dffhhfgh", "kernel_id": "264892"}, {"ref": "timhenry/cvcvbbb", "kernel_id": "264900"}, {"ref": "timhenry/dsadf", "kernel_id": "264211"}, {"ref": "timhenry/sdfge-w", "kernel_id": "264218"}, {"ref": "timhenry/iulkajdso", "kernel_id": "264197"}, {"ref": "timhenry/asdffw", "kernel_id": "264200"}, {"ref": "timhenry/dsffgghhh", "kernel_id": "264918"}, {"ref": "timhenry/notebookb87c87c78d", "kernel_id": "259435"}, {"ref": "timhenry/notebook41892e3614", "kernel_id": "260607"}, {"ref": "timhenry/xgboost-script-1", "kernel_id": "261133"}, {"ref": "timhenry/xgboost-script-2", "kernel_id": "261190"}, {"ref": "timhenry/notebook26f0964995", "kernel_id": "261144"}, {"ref": "timhenry/notebook2700031266", "kernel_id": "257787"}, {"ref": "timhenry/data-discovery-rolling-average-etc", "kernel_id": "258359"}, {"ref": "timhenry/macroeconomic-analysis", "kernel_id": "258444"}, {"ref": "cecilia/notebookc47b555105", "kernel_id": "259727"}, {"ref": "hfelizzola/r-housing-market", "kernel_id": "249917"}, {"ref": "paradev/gradient-boosting-regression-0-33", "kernel_id": "271124"}, {"ref": "chalkalan/sberbank-basic-eda-tutorial", "kernel_id": "277585"}, {"ref": "chalkalan/sberbank-basic-eda", "kernel_id": "275704"}, {"ref": "chalkalan/random-forest-tutorial", "kernel_id": "275958"}, {"ref": "chalkalan/xgboost-tutorial-var-imp-partial-dependence", "kernel_id": "276917"}, {"ref": "songsong/notebookd3cf621f7c", "kernel_id": "247601"}, {"ref": "eugenpt/notebook441a3ddc05", "kernel_id": "261832"}, {"ref": "amibah/notebookd5864b23a4", "kernel_id": "246259"}, {"ref": "amibah/first-kernel-first-exploration", "kernel_id": "253224"}, {"ref": "devinanzelmo/notebookfb9f3cedca", "kernel_id": "263022"}, {"ref": "devinanzelmo/adversarial-validation-minor-bug-fix", "kernel_id": "252618"}, {"ref": "devinanzelmo/adversarial-validation-split-test-set", "kernel_id": "252643"}, {"ref": "rashmi9/notebook7b7806f6dd", "kernel_id": "261224"}, {"ref": "kakurathi/notebook3a5710210f", "kernel_id": "252112"}, {"ref": "dhegde/lzhou-test", "kernel_id": "279906"}, {"ref": "jasonquick/naive-xgb-lb-0-317", "kernel_id": "245247"}, {"ref": "jasonquick/naive-xgb", "kernel_id": "246601"}, {"ref": "arunlakhotia/notebook243b3824c0", "kernel_id": "271962"}, {"ref": "mkearney/wrangle-summarize-and-model-the-data", "kernel_id": "261635"}, {"ref": "innovativegirish/notebooke805863803", "kernel_id": "245947"}, {"ref": "innovativegirish/after-a-looong-time", "kernel_id": "245948"}, {"ref": "pvsquare/notebook80ca5d3faf", "kernel_id": "245692"}, {"ref": "optidatascience/data-preparation-for-sberbank", "kernel_id": "245681"}, {"ref": "optidatascience/use-partial-pca-for-collinearity-lb-0-328-w-xgb", "kernel_id": "248376"}, {"ref": "mzacks/test12345", "kernel_id": "278414"}, {"ref": "ankitmalik/data-exploration", "kernel_id": "268125"}, {"ref": "srinivasgurrala/just-started", "kernel_id": "261012"}, {"ref": "blueorange/russian-housing", "kernel_id": "251469"}, {"ref": "blueorange/firsttestlouis", "kernel_id": "249651"}, {"ref": "justinnafe/notebookbb8a90c283", "kernel_id": "256492"}, {"ref": "justinnafe/population-data-cleanup", "kernel_id": "263740"}, {"ref": "hjunaid40/sberbank-data-viz-and-analysis", "kernel_id": "248823"}, {"ref": "tharindudr/naive-xgb", "kernel_id": "256094"}, {"ref": "skhemka/naive-xgb", "kernel_id": "247031"}, {"ref": "skhemka/xgb-v1", "kernel_id": "247066"}, {"ref": "vanyaslobodchikov/fork-of-notebookc0c235bb86", "kernel_id": "272108"}, {"ref": "vanyaslobodchikov/notebookc0c235bb86", "kernel_id": "252500"}, {"ref": "chandrs/sberbank-trial-xgb", "kernel_id": "277009"}, {"ref": "chandrs/notebooke5bcaf4a32", "kernel_id": "265484"}, {"ref": "web8341/sberbank-russian-housing-market-v1-dave-w", "kernel_id": "286191"}, {"ref": "abhisheknagarjuna/notebookb0f1ca4544", "kernel_id": "255891"}, {"ref": "painkiller/final-xgboost-try", "kernel_id": "273710"}, {"ref": "kc4991/kc-s-attempt", "kernel_id": "247216"}, {"ref": "kc4991/notebookb0abc8626d", "kernel_id": "247211"}, {"ref": "steubk/fork-of-fork-of-ocean-an", "kernel_id": "273540"}, {"ref": "steubk/fork-of-ocean-an", "kernel_id": "273473"}, {"ref": "yesemsanthoshkumar/naive-xgb-lb-0-317", "kernel_id": "270263"}, {"ref": "yesemsanthoshkumar/fillna", "kernel_id": "273632"}, {"ref": "yesemsanthoshkumar/a-simple-exploratory-analysis", "kernel_id": "255761"}, {"ref": "jmccabe/random-forest-tutorial", "kernel_id": "277614"}, {"ref": "alanfeder/initial-exploration", "kernel_id": "245730"}, {"ref": "alanfeder/notebook422a0da5a7", "kernel_id": "254161"}, {"ref": "alanfeder/simple-2-var-gbm", "kernel_id": "254152"}, {"ref": "alanfeder/overly-simple-gam-submission", "kernel_id": "253998"}, {"ref": "alanfeder/first-xgboost-notebook", "kernel_id": "255718"}, {"ref": "alanfeder/first-xgb", "kernel_id": "255786"}, {"ref": "alanfeder/xgboost-notebook", "kernel_id": "260868"}, {"ref": "powerstat2013/fork-of-quick-try-of-gmb", "kernel_id": "269462"}, {"ref": "sud333/career-break-problem-i", "kernel_id": "279745"}, {"ref": "ffisegydd/sklearn-multicollinearity-class", "kernel_id": "247655"}, {"ref": "wti200/deep-neural-network-for-starters-r", "kernel_id": "262324"}, {"ref": "wti200/xgboost-starter-r", "kernel_id": "262311"}, {"ref": "wti200/kolmogorov-smirnov-test-training-vs-test", "kernel_id": "264145"}, {"ref": "srwalker101/notebook582bb94ae6", "kernel_id": "276958"}, {"ref": "jtlowery/silly-silly-data", "kernel_id": "277351"}, {"ref": "chonnakan/sberbank-starter-model", "kernel_id": "257053"}, {"ref": "bguberfain/notebook32d5cd2d80", "kernel_id": "263296"}, {"ref": "bguberfain/fork-of-naive-xgb-lb-0-317-c8e06e", "kernel_id": "263280"}, {"ref": "bguberfain/xgb-russ-house-modified-params", "kernel_id": "273546"}, {"ref": "bguberfain/notebookf1630622e9", "kernel_id": "245132"}, {"ref": "bguberfain/notebooka24f36d951", "kernel_id": "245143"}, {"ref": "bguberfain/naive-xgb-lb-0-317", "kernel_id": "245075"}, {"ref": "sujatar/notebookb20222a66e", "kernel_id": "245396"}, {"ref": "sujatar/simple-exploration-notebook-sberbank", "kernel_id": "249264"}, {"ref": "nakapoor/eda-sberbank-russian-housing-market", "kernel_id": "289354"}, {"ref": "nakapoor/fixing-the-home-sberbank-russian-housing-market", "kernel_id": "300783"}, {"ref": "yrtchn/time-dynamics-of-price-per-sq-meter-and-rent", "kernel_id": "288870"}, {"ref": "timmyy/naive-xgb-lb-0-317-ab082a", "kernel_id": "262456"}, {"ref": "timmyy/merge-order-para-tuning", "kernel_id": "262475"}, {"ref": "timmyy/notebook83bf134d01", "kernel_id": "254905"}, {"ref": "sasimsb/starting-script", "kernel_id": "252673"}, {"ref": "scirpus/genetic-programming-using-reynaldo-sijo-code", "kernel_id": "264014"}, {"ref": "antklen/patterns-of-missing-values", "kernel_id": "251871"}, {"ref": "julomoppet/notebookbc8c510c1e", "kernel_id": "249410"}, {"ref": "datadicer/data-exploration-first-step", "kernel_id": "261052"}, {"ref": "gospursgo/naive-xgb-just-to-mark", "kernel_id": "254292"}, {"ref": "gospursgo/fork-of-naive-xgb-just-to-mark", "kernel_id": "254299"}, {"ref": "iamweiweishi/data-preparation-for-sberbank", "kernel_id": "246635"}, {"ref": "yinghawl/eda-1-0", "kernel_id": "257118"}, {"ref": "yinghawl/notebook5107fe35be", "kernel_id": "257110"}, {"ref": "draken/xboost-simple-trial", "kernel_id": "249375"}, {"ref": "hvgdfx/notebook7d8285616a", "kernel_id": "267972"}, {"ref": "mjtemp/notebook1bfd63cb5b", "kernel_id": "265103"}, {"ref": "navneethc/notebook85ac205989", "kernel_id": "247718"}, {"ref": "reshsekar15/notebook4c67feda25", "kernel_id": "246133"}, {"ref": "reshsekar15/tyttuioooo", "kernel_id": "259208"}, {"ref": "reshsekar15/notebook", "kernel_id": "254241"}, {"ref": "reshsekar15/notebook539f582133", "kernel_id": "254555"}, {"ref": "reshsekar15/random-forests", "kernel_id": "256167"}, {"ref": "bikerfan/notebook4485b4902e", "kernel_id": "247080"}, {"ref": "dbettebg/classification-for-missing-values-imputing", "kernel_id": "262012"}, {"ref": "sokian/notebook868379396b", "kernel_id": "252281"}, {"ref": "sokian/notebook4ce5477cd2", "kernel_id": "252282"}, {"ref": "carloshuertas/lol-tell-me-more", "kernel_id": "275854"}, {"ref": "carloshuertas/xgbfollowgtr", "kernel_id": "275213"}, {"ref": "shalva/trying-a-different-script", "kernel_id": "271988"}, {"ref": "shalva/first-submission-v-9", "kernel_id": "264579"}, {"ref": "shalva/first-submission", "kernel_id": "264537"}, {"ref": "hyg1985/notebook1900d6b885", "kernel_id": "273946"}, {"ref": "hyg1985/my-first-kernel", "kernel_id": "273948"}, {"ref": "hyg1985/deal-with-the-key-feature", "kernel_id": "273958"}, {"ref": "hyg1985/fork-of-deal-with-the-key-feature", "kernel_id": "273961"}, {"ref": "cbillman/notebook58729265e9", "kernel_id": "251153"}, {"ref": "cbillman/notebookba6fb36a24", "kernel_id": "249961"}, {"ref": "kevinq/notebookdac3f43c08", "kernel_id": "245309"}, {"ref": "domingorpp/first-kernel", "kernel_id": "264343"}, {"ref": "onepau/btb-just-about-with-quick-dirty-svr", "kernel_id": "248241"}, {"ref": "cttsai/ensgbm", "kernel_id": "252118"}, {"ref": "cttsai/xgb-exp", "kernel_id": "246571"}, {"ref": "cttsai/sberlgb-starter", "kernel_id": "245298"}, {"ref": "kweonwooj/xgb-follow2", "kernel_id": "275162"}, {"ref": "artimous/why-go-naive-when-you-can-go-worldly-wise", "kernel_id": "247960"}, {"ref": "jackklpan/notebook26d5a3317b", "kernel_id": "254549"}, {"ref": "aaronsmith/notebook2f3876a5a2", "kernel_id": "251903"}, {"ref": "satadru5/sberbank-price", "kernel_id": "278427"}, {"ref": "satadru5/sberbank-price-estimation-and-feature-engineering", "kernel_id": "271151"}, {"ref": "satadru5/micro-economy-data", "kernel_id": "255017"}, {"ref": "satadru5/sberbank-xgb", "kernel_id": "256009"}, {"ref": "nnormandin/xgb-python", "kernel_id": "251976"}, {"ref": "rexzhang2013/my1stkaggle-rex", "kernel_id": "246905"}, {"ref": "inverse1/competition", "kernel_id": "265041"}, {"ref": "zhaoze/notebookaefca06cf9", "kernel_id": "258996"}, {"ref": "zhaoze/sberbank-russian-housing-market", "kernel_id": "260790"}, {"ref": "vlarine/naive-xgb-lb-0-32276", "kernel_id": "245371"}, {"ref": "koushiknagarajan/notebook6bbceba96b", "kernel_id": "248374"}, {"ref": "luoyetx/notebookb5ca4fcf6b", "kernel_id": "245972"}, {"ref": "benoitdescamps/notebook1590a74749", "kernel_id": "269890"}, {"ref": "benoitdescamps/longitude-latitude-of-subareas", "kernel_id": "258487"}, {"ref": "shankarpandala/xgb-starter-r", "kernel_id": "245460"}, {"ref": "ikarashi/exploring-data", "kernel_id": "245509"}, {"ref": "ninamalina/fork-of-naive-xgb-lb-0-317-c8e06e", "kernel_id": "277549"}, {"ref": "domie21/notebookbd8c979ae5", "kernel_id": "254401"}, {"ref": "mtfall/notebook0728ae298d", "kernel_id": "251156"}, {"ref": "mtfall/confirm-data", "kernel_id": "251157"}, {"ref": "mtfall/notebook0961cf561a", "kernel_id": "273089"}, {"ref": "chriscc/naive-xgb-lb-0-317", "kernel_id": "254597"}, {"ref": "chriscc/naive-xgb-7acadf", "kernel_id": "256405"}, {"ref": "jillchen/naive-xgb-lb-0-317", "kernel_id": "252082"}, {"ref": "edoven/xgb-russ-house-modified-params", "kernel_id": "274058"}, {"ref": "edoven/xgb-follow", "kernel_id": "274065"}, {"ref": "edoven/test01", "kernel_id": "256568"}, {"ref": "jaydentan/map-visualizations-with-external-shapefile", "kernel_id": "252214"}, {"ref": "canada/notebook250e3c505b", "kernel_id": "245286"}, {"ref": "rahuld/notebook8b66b51fe4", "kernel_id": "252650"}, {"ref": "ankitagrawal/eda-realty-house-prediction-problem", "kernel_id": "252194"}, {"ref": "varunsharma3/notebook371c0624d4", "kernel_id": "254308"}, {"ref": "rganeshprasath/notebook6c3b8db610", "kernel_id": "261793"}, {"ref": "sodanuo/notebook0d066f6aa7", "kernel_id": "247475"}, {"ref": "bbuluttekin/housing-eda", "kernel_id": "248847"}, {"ref": "vamsikrishna/myfirstkernel", "kernel_id": "254534"}, {"ref": "kes367/naive-xgb-lb-0-317", "kernel_id": "253577"}, {"ref": "xtraky/notebook5b20dc57ee", "kernel_id": "252274"}, {"ref": "cturner3rd/test1", "kernel_id": "258284"}, {"ref": "sionek/naive-xgb-lb-0-317-dc9ff7", "kernel_id": "245491"}, {"ref": "sionek/naive-xgb-lb-0-317", "kernel_id": "245334"}, {"ref": "pallabs/first-attempt-sberbank", "kernel_id": "253167"}, {"ref": "pallabs/first-attempt-sberbank-pallab", "kernel_id": "253689"}, {"ref": "libra202ma/sberbank-russian-housing-exploration", "kernel_id": "260180"}, {"ref": "daizhongxiang/naive-xgb", "kernel_id": "251553"}, {"ref": "pafrantz/notebook38b7d64a8e", "kernel_id": "247205"}, {"ref": "mdave25/naive-xgb-lb-0-317-test", "kernel_id": "270262"}, {"ref": "caiomsouza/naive-xgb-v-0-1-20170504", "kernel_id": "251656"}, {"ref": "willsuess/notebookc6f2287634", "kernel_id": "265906"}, {"ref": "mgr515/xgb-russ-house", "kernel_id": "272655"}, {"ref": "mgr515/silly-silly-data", "kernel_id": "277198"}, {"ref": "mgr515/notebookf51c8c1afb", "kernel_id": "248418"}, {"ref": "remap1/exploring-the-volatility-of-the-economy", "kernel_id": "253790"}, {"ref": "nanu146/notebook5339c6d98c", "kernel_id": "266144"}, {"ref": "ay1011/notebooka82cea1a79", "kernel_id": "257306"}, {"ref": "captcalculator/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "252006"}, {"ref": "celiasiu/question-notebook-wiped-as-it-s-being-written", "kernel_id": "245311"}, {"ref": "fnavarro/notebookd1f1952a7f", "kernel_id": "247703"}, {"ref": "fnavarro/exploring-sberbank-russian-housing-market", "kernel_id": "247704"}, {"ref": "fnavarro/notebookdbed0ef7f6", "kernel_id": "246306"}, {"ref": "armaniferrante/notebookfd5b5c50ad", "kernel_id": "258474"}, {"ref": "shuyan/notebookc3d4969a97", "kernel_id": "263189"}, {"ref": "chenxihe92/xgb-with-new-features", "kernel_id": "251329"}, {"ref": "happycube/xgb-russ-house-modified-params", "kernel_id": "272607"}, {"ref": "happycube/partial-public-private-lb-split-analysis", "kernel_id": "269521"}, {"ref": "happycube/reynaldo-s-xgb-raddar-s-investment-filtering", "kernel_id": "255721"}, {"ref": "peatle/random-forest-tutorial", "kernel_id": "277618"}, {"ref": "peatle/sberbank-my-first-attempt-at-xgboost", "kernel_id": "277651"}, {"ref": "agavranis/naive-xgb", "kernel_id": "247169"}, {"ref": "vrsanaidu9/notebook468dedf064", "kernel_id": "255121"}, {"ref": "hardeeparora/naive-xgb", "kernel_id": "258937"}, {"ref": "alexsnet/notebook8791606fbf", "kernel_id": "257629"}, {"ref": "keerthip/random-forest", "kernel_id": "270277"}, {"ref": "keerthip/first-note", "kernel_id": "252362"}, {"ref": "armyaviator/introductory-data-exploration", "kernel_id": "247003"}, {"ref": "tanukunk/data-quality-report", "kernel_id": "255201"}, {"ref": "eranah/xgb-hk-cln", "kernel_id": "270786"}, {"ref": "eranah/normalising", "kernel_id": "262044"}, {"ref": "kalidoss/sberbank-house-price-exploratory-analysis", "kernel_id": "270636"}, {"ref": "kalidoss/exploratory-analysis", "kernel_id": "270474"}, {"ref": "kqdmqx/notebook903295427c", "kernel_id": "267541"}, {"ref": "kqdmqx/20170525-test-kaggle-kernel", "kernel_id": "266989"}, {"ref": "asaisra1/exploration", "kernel_id": "268333"}, {"ref": "luventu/notebook2a995f6bc3", "kernel_id": "256326"}, {"ref": "anake1/python-eda", "kernel_id": "245716"}, {"ref": "tunguz/deep-neural-network-for-starters-r", "kernel_id": "263844"}, {"ref": "tunguz/naive-subsampled-xgb-starter", "kernel_id": "259864"}, {"ref": "tunguz/naive-xgb-in-r", "kernel_id": "251216"}, {"ref": "ermochi/fork1", "kernel_id": "248544"}, {"ref": "rahulvks/boosting-and-naive-bayes-nb-1", "kernel_id": "265474"}, {"ref": "rahulvks/naive-score-0-32112", "kernel_id": "245155"}, {"ref": "francoisdelspn/notebookec5d4cd8b7", "kernel_id": "258329"}, {"ref": "teryvak/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "257144"}, {"ref": "icytempest/notebook4a7d80ec63", "kernel_id": "245615"}, {"ref": "mohanv/sberbank-in-r", "kernel_id": "249201"}, {"ref": "ganesh8078/notebookb9f338ee09", "kernel_id": "256290"}, {"ref": "vfdev5/naive-xgb", "kernel_id": "245105"}, {"ref": "whdydwn/map-visualizations-with-external-shapefile", "kernel_id": "253811"}, {"ref": "namrathaurs/notebookc628937707", "kernel_id": "248890"}, {"ref": "bigapple2008/notebook974baadc21", "kernel_id": "247166"}, {"ref": "vigneshinfy/latest-iteration-in-this-silly-game", "kernel_id": "276473"}, {"ref": "upvedm1512/naive-xgb-lb-0-317", "kernel_id": "276551"}, {"ref": "jayatou/xgbregressor-with-gridsearchcv", "kernel_id": "262326"}, {"ref": "arzaannavdar/house-prices-feature-importance", "kernel_id": "247334"}, {"ref": "arzaannavdar/notebooke66b9e8c6f", "kernel_id": "246028"}, {"ref": "nickycan/feature-engineering-public-6th-private-9th", "kernel_id": "303323"}, {"ref": "nickycan/eda02-macro-data-preprocessing-and-visualization", "kernel_id": "268418"}, {"ref": "nrcjea001/notebook95a1a2cbf1", "kernel_id": "270302"}, {"ref": "vipindas/sberbank-xgb-starter", "kernel_id": "269074"}, {"ref": "arinapaul/notebook247e584637", "kernel_id": "247073"}, {"ref": "bytestorm/some-features-and-xgb", "kernel_id": "278699"}, {"ref": "ug2409/notebookef7b05d13c", "kernel_id": "260409"}, {"ref": "ug2409/notebookf79047551d", "kernel_id": "260418"}, {"ref": "ug2409/notebook4692989cfb", "kernel_id": "259622"}, {"ref": "ug2409/xgb-follow", "kernel_id": "275103"}, {"ref": "ashwinikmr/notebook4d748e5376", "kernel_id": "252862"}, {"ref": "cimadure/data-preparation-for-sberbank", "kernel_id": "246394"}, {"ref": "thurston/notebookdc8e178310", "kernel_id": "249571"}, {"ref": "mckevim/notebookd167433909", "kernel_id": "259115"}, {"ref": "jtremoureux/map-visualizations-with-external-shapefile", "kernel_id": "251989"}, {"ref": "ziyitang/eda-simple-model", "kernel_id": "257823"}, {"ref": "amitkumarjaiswal/plugging-up-the-leak-in-the-jason-saeed-result", "kernel_id": "288332"}, {"ref": "rampje/notebookc0e055e44d", "kernel_id": "247625"}, {"ref": "tumbzilla/notebook2c2f2958ab", "kernel_id": "246577"}, {"ref": "tumbzilla/r-xgb-starter-basic-features-0-33-lb", "kernel_id": "246582"}, {"ref": "tumbzilla/naive-xgb", "kernel_id": "246622"}, {"ref": "topodomenech/notebooka018c63710", "kernel_id": "263090"}, {"ref": "dengjingyuan/simple-exploration-notebook-sberbank-f754bf", "kernel_id": "261325"}, {"ref": "abhishekgupta86/sberbank-analysis", "kernel_id": "254066"}, {"ref": "agzamovr/a-very-extensive-exploratory-analysis-in-python", "kernel_id": "260719"}, {"ref": "spideryzarc/naive-xgb", "kernel_id": "259016"}, {"ref": "spideryzarc/einstein", "kernel_id": "245865"}, {"ref": "rdslater/data-cleanup-munging", "kernel_id": "258037"}, {"ref": "rdslater/looking-at-where-models-are-weak", "kernel_id": "254102"}, {"ref": "rdslater/examining-model-error", "kernel_id": "254106"}, {"ref": "rdslater/where-do-our-models-fail", "kernel_id": "254094"}, {"ref": "rdslater/introductory-neural-net", "kernel_id": "255505"}, {"ref": "takingblue/brief-eda-for-train-data", "kernel_id": "266896"}, {"ref": "victorwhz/support-vector-regression", "kernel_id": "268405"}, {"ref": "ljubica/sberbank", "kernel_id": "257117"}, {"ref": "djscott1909/r-xgb-starter-basic-features-0-33-lb", "kernel_id": "265964"}, {"ref": "taoufik/notebooka33678e2d5", "kernel_id": "247888"}, {"ref": "nodp53/dealing-with-multicollinearity", "kernel_id": "248806"}, {"ref": "rezaisrad/notebook9927fbc212", "kernel_id": "261741"}, {"ref": "erondema/notebookba1d3b817b", "kernel_id": "269004"}, {"ref": "reynaldo/naive-xgb", "kernel_id": "246506"}, {"ref": "reynaldo/visualitation", "kernel_id": "246553"}, {"ref": "geilerloui/notebook-sberbank", "kernel_id": "261522"}, {"ref": "amclean/map-visualizations-with-external-shapefile", "kernel_id": "265781"}, {"ref": "octthe16th/naive-xgb-6c8e5a", "kernel_id": "256547"}, {"ref": "octthe16th/xgb-russ-house", "kernel_id": "256552"}, {"ref": "prokopyev/naive-xgb", "kernel_id": "247956"}, {"ref": "victorslira/notebook03c72cdce1", "kernel_id": "245759"}, {"ref": "kirillal/silly-games", "kernel_id": "275574"}, {"ref": "kirillal/xgb-follow1", "kernel_id": "274839"}, {"ref": "anokas/notebook34d7ee459b", "kernel_id": "246181"}, {"ref": "anokas/simple-xgboost-btb-0-32", "kernel_id": "245084"}, {"ref": "golynger/notebook79c5807511", "kernel_id": "246364"}, {"ref": "peterthiem/naive-xgb-as-script", "kernel_id": "252235"}, {"ref": "peterthiem/notebook5ebdbd3290", "kernel_id": "252237"}, {"ref": "peterthiem/gradient-in-python-2-0-313-copy", "kernel_id": "270897"}, {"ref": "monotoneoff/sberbank-data-cleaning", "kernel_id": "246180"}, {"ref": "wzhwwhy/notebookffcf3c6d52", "kernel_id": "246420"}, {"ref": "dks1994/notebook6d278f54b8", "kernel_id": "249573"}, {"ref": "dks1994/notebook97bd040355", "kernel_id": "249564"}, {"ref": "dks1994/notebookb1dceaaaa8", "kernel_id": "251397"}, {"ref": "dks1994/sberbank-notebook", "kernel_id": "248811"}, {"ref": "dks1994/notebook63501c0fc2", "kernel_id": "248828"}, {"ref": "dks1994/notebook8ba5aea492", "kernel_id": "248803"}, {"ref": "marcomarson/python-xgb", "kernel_id": "258534"}, {"ref": "marcomarson/naive-xgb-lb-0-317-eb48a6", "kernel_id": "254172"}, {"ref": "czlowiekrakieta/random-forest-pca", "kernel_id": "258519"}, {"ref": "aagundez/notebook1483299ebf", "kernel_id": "266757"}, {"ref": "rareitmeyer/av-explained-and-exploited-for-better-prediction", "kernel_id": "260984"}, {"ref": "rareitmeyer/eda-extended-summary-of-all-columns", "kernel_id": "254747"}, {"ref": "rareitmeyer/initial-model-eda-cleanup-imput-xgboost-w-r", "kernel_id": "254916"}, {"ref": "taeheekim/eda-of-sberbank-russian-housing-market", "kernel_id": "258278"}, {"ref": "paulorzp/xgb-mix-models-lb-0-31", "kernel_id": "276052"}, {"ref": "mmrosenb/sberbank-data-study", "kernel_id": "261450"}, {"ref": "arnaumerc/data-exploration-in-r", "kernel_id": "256266"}, {"ref": "georsara1/my-solution-in-r-with-h2o-gradient-boosting", "kernel_id": "306309"}, {"ref": "georsara1/my-first-try-on-russian-house-market-prices", "kernel_id": "248347"}, {"ref": "umeshsati/data-exploration", "kernel_id": "276530"}, {"ref": "adamski/notebook2b2e8349cb", "kernel_id": "269030"}, {"ref": "adamski/notebook8c6a743ff3", "kernel_id": "269981"}, {"ref": "adamski/xgboosted-script", "kernel_id": "269987"}, {"ref": "cmauri/notebookef0df0565d", "kernel_id": "248389"}, {"ref": "cmauri/notebook7484eeb5df", "kernel_id": "248394"}, {"ref": "sfilipi/notebookb1eb7f4217", "kernel_id": "246072"}, {"ref": "adriaanslechten/notebooka26b98a906", "kernel_id": "245842"}, {"ref": "jihyeseo/russia-house-eda", "kernel_id": "958151"}, {"ref": "keremt/feature-engineering-macro-excluded", "kernel_id": "264079"}, {"ref": "keremt/very-extensive-cleaning-by-sberbank-discussions", "kernel_id": "262966"}, {"ref": "keremt/data-and-feature-exploration-new-features", "kernel_id": "254752"}, {"ref": "hundredpercent/xgb-boosting-results", "kernel_id": "253110"}, {"ref": "hundredpercent/sklearn-multicollinearity-class", "kernel_id": "247791"}, {"ref": "hundredpercent/naive-xgb-2739cb", "kernel_id": "255471"}, {"ref": "hundredpercent/notebook79f8b5d13e", "kernel_id": "254535"}, {"ref": "hundredpercent/notebook1a116157df", "kernel_id": "253570"}, {"ref": "ejansa/notebookf68f329078", "kernel_id": "249404"}, {"ref": "ericlikedata/notebook5321be31cb", "kernel_id": "267600"}, {"ref": "wimkon/randomforrest", "kernel_id": "258116"}, {"ref": "chemalytics/realty", "kernel_id": "251332"}, {"ref": "cohenziv/notebook3f23611940", "kernel_id": "267185"}, {"ref": "thebrians/notebook0bf38d9f34", "kernel_id": "257790"}, {"ref": "winwin1234/xgboost-including-macro-variables", "kernel_id": "253590"}, {"ref": "msilvaecastro/house-prices-feature-importance", "kernel_id": "248274"}, {"ref": "dzjkb1/another-simple-xgboost-0-32", "kernel_id": "269895"}, {"ref": "poolmoon/understanding-housing-prices", "kernel_id": "249397"}, {"ref": "alphasis/a-very-simple-neural-network", "kernel_id": "258757"}, {"ref": "hisuka/from-bruno-do-amaral-naive-xgb-v9", "kernel_id": "246549"}, {"ref": "babatee/xgboost-on-russia-housing-datasets", "kernel_id": "302769"}, {"ref": "rahimi/fork-of-naive-xgb-lb-0-317-c8e06e", "kernel_id": "264363"}, {"ref": "rahimi/still-trying-to-do-better-than-magic-number-a9d226", "kernel_id": "280786"}, {"ref": "acehanks/notebook089e13eea6", "kernel_id": "274365"}, {"ref": "acehanks/sberbank-russian-housing-market", "kernel_id": "274370"}, {"ref": "acehanks/notebookd048ca26c8", "kernel_id": "273451"}, {"ref": "mikeee/lightgbm-simple", "kernel_id": "247450"}, {"ref": "josephbudin/naive-xgb", "kernel_id": "246808"}, {"ref": "cokeraby/notebookece3cae905", "kernel_id": "248423"}, {"ref": "jinfuyearn/naive-xgb", "kernel_id": "252555"}, {"ref": "kuliksv/naive-xgb-7d8c49", "kernel_id": "263783"}, {"ref": "adarsh1kumar/notebookbf514405d6", "kernel_id": "273649"}, {"ref": "adarsh1kumar/new-colu", "kernel_id": "295899"}, {"ref": "jsennn/notebookd54098ffa1", "kernel_id": "252724"}, {"ref": "christopherfrank/simple-xgb-wfeatures-0-325lb", "kernel_id": "257121"}, {"ref": "kanishkapsingh/data-cleaning-and-new-vars", "kernel_id": "265337"}, {"ref": "kanishkapsingh/notebook0cca8efb98", "kernel_id": "263972"}, {"ref": "kanishkapsingh/exploratory-data-analysis-and-imputation", "kernel_id": "262748"}, {"ref": "informprakash/feature-ranking-in-sberbank", "kernel_id": "259462"}, {"ref": "informprakash/simple-data-exploration", "kernel_id": "256851"}, {"ref": "dcao888/test1", "kernel_id": "260039"}, {"ref": "theforecastkid/latest-iteration-in-this-silly-game", "kernel_id": "275868"}, {"ref": "theforecastkid/naive-xgb", "kernel_id": "254558"}, {"ref": "theforecastkid/40th-place-solution", "kernel_id": "301037"}, {"ref": "arnaldcat/figures-of-missing-distribution-by-time-feature", "kernel_id": "264229"}, {"ref": "kingaza/sberbank-housing-prediction", "kernel_id": "257015"}, {"ref": "bhavesh09/lrwithonlycoupleoffeature", "kernel_id": "256276"}, {"ref": "bhavesh09/firstattempt", "kernel_id": "255831"}, {"ref": "bhavesh09/apartment-cluster-idea", "kernel_id": "254666"}, {"ref": "bhavesh09/data-cleaning-job", "kernel_id": "253898"}, {"ref": "bhavesh09/cleaning-key-data-using-apartment-id-feature", "kernel_id": "263672"}, {"ref": "bhavesh09/withapartmentfeature", "kernel_id": "263705"}, {"ref": "bhavesh09/naive-xgb", "kernel_id": "265363"}, {"ref": "bhavesh09/notebook6e1baebabb", "kernel_id": "266562"}, {"ref": "bhavesh09/xgb-featuretrials", "kernel_id": "269739"}, {"ref": "bhavesh09/notebook88a90066b5", "kernel_id": "269653"}, {"ref": "bhavesh09/removing-all-bad-values", "kernel_id": "269662"}, {"ref": "bhavesh09/playingaroundsqftprmtridea", "kernel_id": "246807"}, {"ref": "bhavesh09/dataexploration", "kernel_id": "246005"}, {"ref": "rocksoup/quick-eda", "kernel_id": "258464"}, {"ref": "e1ggak/random-forest-tutorial", "kernel_id": "277612"}, {"ref": "hxidkd/naive-xgb-apal", "kernel_id": "258124"}, {"ref": "hxidkd/notebook7c7bc17465", "kernel_id": "256304"}, {"ref": "rksriram312/naive-xgb-apal", "kernel_id": "267874"}, {"ref": "ssquare/notebookdf1a60e1ba", "kernel_id": "264045"}, {"ref": "zhilangtaosha/data-preparation-for-sberbank", "kernel_id": "246262"}, {"ref": "sriram2093/notebook0d4442bd39", "kernel_id": "262399"}, {"ref": "bezhin/fork-of-naive-xgb-lb-0-317-c8e06e", "kernel_id": "263491"}, {"ref": "vishal86/eda-for-sberbank-russian-housing-market", "kernel_id": "265063"}, {"ref": "nitink12/nitin-testv1", "kernel_id": "279999"}, {"ref": "chelimin/notebook150ed77c53", "kernel_id": "263287"}, {"ref": "poioioi/notebookf8ebb8e5b0", "kernel_id": "247382"}, {"ref": "mhoffman/xgb-with-relative-features", "kernel_id": "267904"}, {"ref": "frankherfert/workflow-template-and-detailed-column-collections", "kernel_id": "251502"}, {"ref": "nikhils/notebook9eda507b0e", "kernel_id": "255214"}, {"ref": "nikhils/notebookbef7f28d62", "kernel_id": "255514"}, {"ref": "taoist/introductory-neural-net", "kernel_id": "278170"}, {"ref": "zikopro/notebookc3a2ec9c21", "kernel_id": "245671"}, {"ref": "mragungsetiaji/ml-project-russian-house-prediction", "kernel_id": "300164"}, {"ref": "cjansen/magic-numbers-private-lb-0-31647", "kernel_id": "293314"}, {"ref": "cjansen/naive-xgb", "kernel_id": "260105"}, {"ref": "zhangf/notebook277f774d7a", "kernel_id": "247626"}, {"ref": "vijayprayagala/correlation-heat-map-and-scatter-matrix", "kernel_id": "258985"}, {"ref": "yngvem/some-data-exploration", "kernel_id": "253911"}, {"ref": "ezyyyy/silly-silly-data", "kernel_id": "276159"}, {"ref": "mingruimingrui/data-compaction-using-pca-alternatives", "kernel_id": "258066"}, {"ref": "ejcorrea/notebook006f327f52", "kernel_id": "246558"}, {"ref": "ejcorrea/notebook9305ac607c", "kernel_id": "246559"}, {"ref": "ejcorrea/notebook11ce82f8cd", "kernel_id": "246675"}, {"ref": "ejcorrea/xgboost", "kernel_id": "246891"}, {"ref": "mentos05/notebookb63a4cc5d4", "kernel_id": "259945"}, {"ref": "airbourne/notebook68e14c8f9b", "kernel_id": "249061"}, {"ref": "lolalola/miaoster", "kernel_id": "272550"}, {"ref": "lolalola/miaowuwu", "kernel_id": "272532"}, {"ref": "lolalola/miaowu", "kernel_id": "272527"}, {"ref": "norio0925/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "254242"}, {"ref": "marquis08/dealing-with-multicollinearity", "kernel_id": "269157"}, {"ref": "devisangeetha/ml-on-sberbank-housing-market", "kernel_id": "278410"}, {"ref": "er9213/simple-xgboost-btb-0-32", "kernel_id": "266546"}, {"ref": "alijs1/lightgbm-starter-0-33342", "kernel_id": "247555"}, {"ref": "arathee2/creating-some-useful-additional-features", "kernel_id": "246753"}, {"ref": "dejtar/notebook96dbe3901d", "kernel_id": "275278"}, {"ref": "byrolew/xgboost-pipeline", "kernel_id": "269791"}, {"ref": "arvidzt/still-trying-to-do-better-than-magic-numbers", "kernel_id": "279714"}, {"ref": "arvidzt/fork-of-still-trying-to-do-better-than-magic-numbe", "kernel_id": "279744"}, {"ref": "pgorshenin/notebook028ca59ea7", "kernel_id": "265419"}, {"ref": "pgorshenin/between-lenin-and-putin", "kernel_id": "265424"}, {"ref": "pgorshenin/secret-city-between-putin-and-lenin", "kernel_id": "263685"}, {"ref": "rishabh1khurana/notebook3c9a391741", "kernel_id": "247047"}, {"ref": "rishabh1khurana/housing", "kernel_id": "245844"}, {"ref": "fzhurd/predict-sberbank-201705272100v1", "kernel_id": "269542"}, {"ref": "fzhurd/20170603test", "kernel_id": "275671"}, {"ref": "dan195/knn-imputation-gbregression-an-plsregression", "kernel_id": "247056"}, {"ref": "amir19/housing-market-prediction", "kernel_id": "248867"}, {"ref": "wutao1530663/notebook0ac569c1dc", "kernel_id": "251309"}, {"ref": "jzima7/xgb-starter", "kernel_id": "246948"}, {"ref": "jzima7/xgb-with-some-features", "kernel_id": "257070"}, {"ref": "damianpanek/feature-extraction-in-r-interactive-corrplot", "kernel_id": "246914"}, {"ref": "damianpanek/notebook23a8419c1f", "kernel_id": "250012"}, {"ref": "damianpanek/data-exploration-in-r", "kernel_id": "245587"}, {"ref": "imwwei/naive-xgb", "kernel_id": "257846"}, {"ref": "venheads/catboost-67-th-place-on-private", "kernel_id": "314752"}, {"ref": "weizhou2273/silly-games", "kernel_id": "276352"}, {"ref": "sidharthkumar/0-31611-private-leader-board", "kernel_id": "299196"}, {"ref": "sidharthkumar/sberlocked-by-xgb", "kernel_id": "273252"}, {"ref": "varadiz/notebook0bfb44d974", "kernel_id": "263971"}, {"ref": "meghananaik/notebook09739b9cca", "kernel_id": "280335"}, {"ref": "meghananaik/notebook3d93f5a52e", "kernel_id": "279152"}, {"ref": "magicalwind/still-trying-to-do-better-than-magic-numbers", "kernel_id": "278116"}, {"ref": "gargmanish/eda-and-regression", "kernel_id": "249526"}, {"ref": "gorjigaru/notebook80de0ffa4a", "kernel_id": "247827"}, {"ref": "daniel89/may-be-price-doc-full-sq-is-a-better-target", "kernel_id": "280748"}, {"ref": "binilg/very-extensive-cleaning-by-sberbank-discussions", "kernel_id": "275923"}, {"ref": "binilg/new-test", "kernel_id": "280649"}, {"ref": "kentata/simple-ridge-regression", "kernel_id": "277384"}, {"ref": "kentata/data-cleaning-visualization", "kernel_id": "276946"}, {"ref": "kentata/fork-of-data-cleaning", "kernel_id": "276948"}, {"ref": "dataer2016/a-xgboost-model-to-predict-realty-prices", "kernel_id": "353463"}, {"ref": "smallhuihui/naive-xgb-lb-0-317", "kernel_id": "262946"}, {"ref": "smallhuihui/naive-xgb-4fd16d", "kernel_id": "263476"}, {"ref": "smallhuihui/naive-xgb-56aa61", "kernel_id": "267470"}, {"ref": "abhishekkant/another-xgb-model", "kernel_id": "248459"}, {"ref": "adslwang4602/xbgboost", "kernel_id": "275214"}, {"ref": "nitish92/silly-silly-data", "kernel_id": "278004"}, {"ref": "kaichenphys/notebook0392af4fa2", "kernel_id": "263234"}, {"ref": "kaichenphys/notebookc53e1cf685", "kernel_id": "276969"}, {"ref": "jasonbenner/data-analysis-object-variables", "kernel_id": "263145"}, {"ref": "jasonbenner/pca-trial", "kernel_id": "263098"}, {"ref": "jasonbenner/cleaning-and-starting-the-sberbank-data", "kernel_id": "263070"}, {"ref": "jasonbenner/basic-data-structuring-sberbank", "kernel_id": "263073"}, {"ref": "jasonbenner/i-regression-workflow-various-models", "kernel_id": "263037"}, {"ref": "jasonbenner/deep-neural-network-for-starters-r", "kernel_id": "262985"}, {"ref": "jasonbenner/xgb-lets-try-clean-2", "kernel_id": "265228"}, {"ref": "jasonbenner/adaboost-basic", "kernel_id": "264479"}, {"ref": "jasonbenner/deep-neural-network-for-starters-r-1", "kernel_id": "264424"}, {"ref": "jasonbenner/xgb-lets-try", "kernel_id": "264311"}, {"ref": "jasonbenner/trying-andy-model", "kernel_id": "277111"}, {"ref": "jasonbenner/latest-iteration-in-this-silly-game-1", "kernel_id": "276176"}, {"ref": "jasonbenner/random-forest-tutorial-clone", "kernel_id": "277935"}, {"ref": "jasonbenner/ada-and-xgb", "kernel_id": "275239"}, {"ref": "jasonbenner/lets-try-xgb10", "kernel_id": "267837"}, {"ref": "jasonbenner/lets-try-xbg-3", "kernel_id": "266685"}, {"ref": "jasonbenner/ridge-regression-cv-tutorial", "kernel_id": "293653"}, {"ref": "davidfumo/moscow-houses-prices-analysis", "kernel_id": "258887"}, {"ref": "davidfumo/notebook6e3bdb7aaf", "kernel_id": "277106"}, {"ref": "davidfumo/feature-engineering-validation-strategy", "kernel_id": "277124"}, {"ref": "davidfumo/simple-lightgm-starter", "kernel_id": "277116"}, {"ref": "davidfumo/notebookcc80b304af", "kernel_id": "277118"}, {"ref": "davidfumo/notebookf71a4f512c", "kernel_id": "277148"}, {"ref": "shashaalam/eda-of-sberbank-russian-housing-market", "kernel_id": "259194"}, {"ref": "jiashenliu/an-updated-collection-of-new-features", "kernel_id": "272503"}, {"ref": "viczyf/data-cleanup-munging", "kernel_id": "263831"}, {"ref": "llykaggle/notebook4fc2a4ef44", "kernel_id": "275010"}, {"ref": "ppallesen/beginner-booster-bagger-stacker", "kernel_id": "246739"}, {"ref": "rojre1979/xgb-script123", "kernel_id": "245351"}, {"ref": "sijovm/initial-exploration-naive-xgb-0-32583-on-lb", "kernel_id": "246289"}, {"ref": "iceactor/notebook7b53dfe213", "kernel_id": "266340"}, {"ref": "iceactor/notebook5f239b8e55", "kernel_id": "266341"}, {"ref": "gunjaagarwal/final-xgboost-try", "kernel_id": "268043"}, {"ref": "gunjaagarwal/xgb-two", "kernel_id": "268623"}, {"ref": "gunjaagarwal/modified-python", "kernel_id": "262659"}, {"ref": "gunjaagarwal/naive-xgb", "kernel_id": "263690"}, {"ref": "gunjaagarwal/latest-naive-xgb", "kernel_id": "265440"}, {"ref": "gunjaagarwal/modified-script", "kernel_id": "262094"}, {"ref": "gunjaagarwal/feature-selection", "kernel_id": "260977"}, {"ref": "gunjaagarwal/notebook35df3474ae", "kernel_id": "260981"}, {"ref": "avinashkaitha/eda-from-srk", "kernel_id": "261581"}, {"ref": "nasa85/data-preparation-for-sberbank", "kernel_id": "246347"}, {"ref": "pkucoin/notebookac1c7b63df", "kernel_id": "274164"}, {"ref": "pkucoin/test1", "kernel_id": "274154"}, {"ref": "mwaddoups/notebookfa92f88726", "kernel_id": "248391"}, {"ref": "mwaddoups/ii-cross-validation-of-xgb-parameters", "kernel_id": "245659"}, {"ref": "mwaddoups/i-regression-workflow-various-models", "kernel_id": "245532"}, {"ref": "creatrol/basic-time-series-analysis-feature-selection", "kernel_id": "256192"}, {"ref": "slamnz/russian-house-starter", "kernel_id": "245926"}, {"ref": "omorillo/notebooke04f4c809e", "kernel_id": "245849"}, {"ref": "vikibytes/notebook62bc512276", "kernel_id": "251547"}, {"ref": "tonychanyt/cs404", "kernel_id": "279190"}, {"ref": "tonychanyt/naive-xgb-lb-0-317", "kernel_id": "264668"}, {"ref": "tonychanyt/cs306-naive-xgb", "kernel_id": "265324"}, {"ref": "makboc/notebook55077f0ab8", "kernel_id": "279708"}, {"ref": "makboc/notebook6509cb2ddc", "kernel_id": "279711"}, {"ref": "pablolopezserrano/naive-xgb-lb-0-317-cac83f", "kernel_id": "259668"}, {"ref": "stanislavushakov/silly-silly-data", "kernel_id": "277477"}, {"ref": "kennli/notebookd00d461a07", "kernel_id": "245677"}, {"ref": "kennli/exploring-data-and-macro-relationships", "kernel_id": "245684"}, {"ref": "chestnut3108/where-is-the-money-going", "kernel_id": "255158"}, {"ref": "chestnut3108/notebook50d45d8a0e", "kernel_id": "251887"}, {"ref": "ayaseeli/linreg-starter", "kernel_id": "246596"}, {"ref": "den3b81/latest-iteration-in-this-silly-game", "kernel_id": "275826"}, {"ref": "eoakley/notebook221b732c72", "kernel_id": "249668"}, {"ref": "robertoruiz/dealing-with-multicollinearity", "kernel_id": "247214"}, {"ref": "anuragupadhyaya/naive-xgb-3f3eee", "kernel_id": "252933"}, {"ref": "anuragupadhyaya/naive-xgb", "kernel_id": "252921"}, {"ref": "anuragupadhyaya/silly-silly-data", "kernel_id": "279555"}, {"ref": "foxydi/a-naive-model", "kernel_id": "262598"}, {"ref": "shivampanchal/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "256428"}, {"ref": "shivampanchal/xgb-with-one-hot-encoding-r-score-0-31774", "kernel_id": "295303"}, {"ref": "inventer/firstxgb", "kernel_id": "266085"}, {"ref": "inventer/cv-with-xgb", "kernel_id": "276358"}, {"ref": "inventer/notebook50d513621a", "kernel_id": "263327"}, {"ref": "yulike/eda-and-interesting-features-plans", "kernel_id": "253456"}, {"ref": "dylanli/a-simple-lightgbm-kernel", "kernel_id": "282045"}, {"ref": "aminebejaoui/notebook0f8617a0fb", "kernel_id": "257216"}, {"ref": "aminebejaoui/notebook0069f7d5b6", "kernel_id": "257676"}, {"ref": "azizje/notebook9cf1ef9667", "kernel_id": "257234"}, {"ref": "azizje/notebookf33e98aa21", "kernel_id": "256983"}, {"ref": "azizje/notebook86770436cb", "kernel_id": "256813"}, {"ref": "azizje/notebook23dcdc7662", "kernel_id": "248354"}, {"ref": "yassinech/notebook61a197856a", "kernel_id": "257293"}, {"ref": "alagaesia5/creating-some-useful-additional-features", "kernel_id": "249115"}, {"ref": "cenglish/sherbank-underwriting-concentration", "kernel_id": "247316"}, {"ref": "cenglish/lazy-vacancy-analysis", "kernel_id": "254234"}, {"ref": "cenglish/everything-is-underwritten", "kernel_id": "254824"}, {"ref": "cenglish/notebook44b2868840", "kernel_id": "266403"}, {"ref": "enerygames/pruebas-energygames0", "kernel_id": "249788"}, {"ref": "enerygames/pruebas-energygames", "kernel_id": "249766"}, {"ref": "q2zhang/notebook044e10aef3", "kernel_id": "245115"}, {"ref": "q2zhang/notebook8ba07cce04", "kernel_id": "245116"}, {"ref": "q2zhang/house-price-prediction", "kernel_id": "245119"}, {"ref": "vignesh2323/sample-xgboost-model-3", "kernel_id": "245338"}, {"ref": "vignesh2323/notebook77d0cc6339", "kernel_id": "254333"}, {"ref": "vignesh2323/notebook5216e69df0", "kernel_id": "256038"}, {"ref": "demesgal/magic-numbers", "kernel_id": "290243"}, {"ref": "mayanksrivastava/detailed-eda-on-sberbank-dataset", "kernel_id": "359745"}, {"ref": "smr4849/smr4849-sberbank-russian-housing-market", "kernel_id": "264664"}, {"ref": "smr4849/smr4849-russian-housing-price-predictions", "kernel_id": "264665"}, {"ref": "kirkhansen/notebookbc45739a16", "kernel_id": "247226"}, {"ref": "caicell/visualize-all-features-with-target-price", "kernel_id": "247584"}, {"ref": "caicell/feature-handling-simplication", "kernel_id": "264012"}, {"ref": "caicell/two-features-simplfied-sub-area-orderd-by-price", "kernel_id": "264013"}, {"ref": "rikhard/eda02-macro-data-preprocessing-and-visualization", "kernel_id": "252200"}, {"ref": "rikhard/eda-01-missing-data-structure-and-regressors", "kernel_id": "245903"}, {"ref": "kanishkapsingh2/notebookedc9c0dc61", "kernel_id": "256574"}, {"ref": "lhericourt/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "262845"}, {"ref": "dsmathon/house-prices-feature-importance", "kernel_id": "247498"}, {"ref": "dsmathon/sberbank-full-gradient-boosting-regression-test", "kernel_id": "248257"}, {"ref": "dsmathon/sberbank-russian-housing-first-view", "kernel_id": "245610"}, {"ref": "bobzsj87/notebookbf2ca7964a", "kernel_id": "248167"}, {"ref": "saeedt2977/xgb-two", "kernel_id": "266715"}, {"ref": "saeedt2977/xgb-modifi", "kernel_id": "272815"}, {"ref": "saeedt2977/first-xgb", "kernel_id": "253377"}, {"ref": "saeedt2977/latest-iteration-in-this-silly-game-lb-0-31039", "kernel_id": "287523"}, {"ref": "pruthviuvss/price-prediction", "kernel_id": "254006"}, {"ref": "pruthviuvss/notebookbdc7d18df9", "kernel_id": "254007"}, {"ref": "zhaohao/naive-xgb", "kernel_id": "249967"}, {"ref": "zhaohao/xgb-with-new-features", "kernel_id": "250071"}, {"ref": "zhaohao/notebookfa5aebe17f", "kernel_id": "249309"}, {"ref": "zhaohao/xgbv1", "kernel_id": "249301"}, {"ref": "zhaohao/notebook6aa566d796", "kernel_id": "248788"}, {"ref": "bluemachine/notebooka40b1425dd", "kernel_id": "288771"}, {"ref": "xuchuanyu/notebook099d51a6e7", "kernel_id": "251328"}, {"ref": "gshevchuk/sberbank-testing-notebook", "kernel_id": "263861"}, {"ref": "tjbaur/sberbank-housing", "kernel_id": "254146"}, {"ref": "noudald/notebook70dfb18e5d", "kernel_id": "245709"}, {"ref": "hitman47/simple-xgboost-btb-0-32", "kernel_id": "245102"}, {"ref": "transparency/use-partial-pca-for-collinearity-lb-0-328-w-xgb", "kernel_id": "251991"}, {"ref": "lilyjin/notebooka8ddfed1b5", "kernel_id": "248766"}, {"ref": "cgpowell/hello-world", "kernel_id": "263282"}, {"ref": "yaroshevskiy/notebookdf8b2b148f", "kernel_id": "245217"}, {"ref": "wangyup/exploration-data-analysis", "kernel_id": "264673"}, {"ref": "cdelisle/exploring-data-and-testing-models", "kernel_id": "247109"}, {"ref": "startupsci/notebook6ed2b506e2", "kernel_id": "258489"}, {"ref": "alexhecn/randomforest", "kernel_id": "273080"}, {"ref": "cparmet/notebook1745988256", "kernel_id": "245485"}, {"ref": "skbergam/test-submission", "kernel_id": "266570"}, {"ref": "yitzhakr/notebookee879c35eb", "kernel_id": "254685"}, {"ref": "yitzhakr/notebook129d4c8169", "kernel_id": "254680"}, {"ref": "yitzhakr/notebooka4655ed459", "kernel_id": "253870"}, {"ref": "yitzhakr/moscow-houses-prices-analysis", "kernel_id": "253926"}, {"ref": "yitzhakr/notebookbd90ba38c5", "kernel_id": "253877"}, {"ref": "yitzhakr/notebookac564d37d5", "kernel_id": "253873"}, {"ref": "yitzhakr/notebookb1db688c77", "kernel_id": "253874"}, {"ref": "catatafish/testing-kernel", "kernel_id": "265961"}, {"ref": "wzimmz/notebook94fd899eee", "kernel_id": "259272"}, {"ref": "azuralrainbow/bluebird", "kernel_id": "280427"}, {"ref": "azuralrainbow/feature-engineering-validation-strategy-e82852", "kernel_id": "279656"}, {"ref": "azuralrainbow/summer", "kernel_id": "268432"}, {"ref": "rezimitpo/small-improvements", "kernel_id": "256859"}, {"ref": "per100/sberbank-linear-regression", "kernel_id": "260734"}, {"ref": "msanselme/baseline", "kernel_id": "245562"}, {"ref": "msanselme/notebook054dfde87d", "kernel_id": "245555"}, {"ref": "mateuszjanczura/housing-prices", "kernel_id": "268953"}, {"ref": "nevilleg/notebook164661a9c0", "kernel_id": "251598"}, {"ref": "gregsmacros/the-old-college-try", "kernel_id": "274264"}, {"ref": "gregsmacros/first-go", "kernel_id": "260773"}, {"ref": "yerne39/home-prices-analysis", "kernel_id": "257037"}, {"ref": "yerne39/fork-naive-xgb", "kernel_id": "265837"}, {"ref": "siriuscorp/this-is-getting-out-of-hand", "kernel_id": "280342"}, {"ref": "tjrkishore/notebook9b65105564", "kernel_id": "246607"}, {"ref": "linux18/xgb-russ-house-modified-params", "kernel_id": "273075"}, {"ref": "linux18/xgb-russ-house", "kernel_id": "273483"}, {"ref": "jmbull/r-xgb-starter", "kernel_id": "273476"}, {"ref": "hbracho/notebook917db4a4a3", "kernel_id": "245718"}, {"ref": "hbracho/notebook99aca5b9bc", "kernel_id": "252816"}, {"ref": "dgawlik/data-analysis", "kernel_id": "256343"}, {"ref": "mikhailiuk/notebook1af7f5fb3e", "kernel_id": "247060"}, {"ref": "olgabelitskaya/sberbank-russian-housing-market", "kernel_id": "285681"}, {"ref": "shifu2778/notebook3d68970523", "kernel_id": "260244"}, {"ref": "daiearth22/data-cleaning-visualization", "kernel_id": "334239"}, {"ref": "akshay10/russian-houses", "kernel_id": "247528"}, {"ref": "jaherg/junk1", "kernel_id": "277671"}, {"ref": "jaherg/notebookdc1393b993", "kernel_id": "277678"}, {"ref": "jaherg/somethgn", "kernel_id": "277683"}, {"ref": "vinayaknayak/exploratory-data-analysis", "kernel_id": "246213"}, {"ref": "asindico/predicting-house-prices", "kernel_id": "259277"}, {"ref": "fouad09/notebook43d4bf8dbf", "kernel_id": "253937"}, {"ref": "arikru/notebook77965dbd71", "kernel_id": "246918"}, {"ref": "tommartens68/notebook1b80ee01de", "kernel_id": "247434"}, {"ref": "ajaykumarmvk0712/notebook05e3e1bf39", "kernel_id": "247268"}, {"ref": "ajaykumarmvk0712/random-forests-and-gradient-boosting", "kernel_id": "258241"}, {"ref": "codebb/kaggle-for-sberbank-russian-housing-market", "kernel_id": "280416"}, {"ref": "dezzman/moscow-houses-prices-analysis", "kernel_id": "260469"}, {"ref": "jumpywizard/naive-xgb-57c36a", "kernel_id": "269180"}, {"ref": "jumpywizard/notebook9267e4576e", "kernel_id": "258896"}, {"ref": "jumpywizard/naive-xgb-lb-0-317", "kernel_id": "260424"}, {"ref": "jumpywizard/notebook2728a64793", "kernel_id": "261280"}, {"ref": "yangjoyce/naive-xgb", "kernel_id": "268872"}, {"ref": "pathfinder5/notebooke72a7e474f", "kernel_id": "246155"}, {"ref": "ng1991/sberbank-some-models", "kernel_id": "266207"}, {"ref": "sagarhuks/russian-housing-market-prediction", "kernel_id": "248722"}, {"ref": "chudi19/notebook1522ad3df1", "kernel_id": "266893"}, {"ref": "kp4920/exploratory-data-analysis-sberbank", "kernel_id": "323693"}, {"ref": "taran8727/xgtree-caret-3156-on-lb", "kernel_id": "285049"}, {"ref": "aharless/from-bruno-do-amaral-naive-xgb-v9", "kernel_id": "246022"}, {"ref": "aharless/from-bruno-do-amaral-s-naive-xgb-notebook", "kernel_id": "246008"}, {"ref": "aharless/adding-my-dva-kopeky-to-reynaldo-s-naive-xgb", "kernel_id": "246893"}, {"ref": "aharless/exploration-of-sberbank-housing-data-part-i", "kernel_id": "251573"}, {"ref": "aharless/sloppy-mess-ols", "kernel_id": "251548"}, {"ref": "aharless/latest-iteration-in-this-silly-game", "kernel_id": "275325"}, {"ref": "aharless/xgb-follow", "kernel_id": "275299"}, {"ref": "aharless/attempt-to-reproduce-my-best-lb-score", "kernel_id": "273707"}, {"ref": "aharless/still-trying-to-do-better-than-magic-numbers", "kernel_id": "276418"}, {"ref": "aharless/trying-to-do-better-than-magic-numbers", "kernel_id": "276086"}, {"ref": "aharless/using-wls-to-create-features-for-xgboost", "kernel_id": "265845"}, {"ref": "aharless/simple-macro-model-for-monthly-house-prices", "kernel_id": "268563"}, {"ref": "aharless/wls-and-small-xgboost-with-macro-adjustments", "kernel_id": "268621"}, {"ref": "aharless/gunja-agarwal-xgb-lose-bad-points-tunelength-3", "kernel_id": "270125"}, {"ref": "aharless/sberbank-data-wls-with-heteroskedasticity-weights", "kernel_id": "257109"}, {"ref": "aharless/jiwon-s-small-improvements", "kernel_id": "259261"}, {"ref": "aharless/why-i-gave-up-on-heteroskedasticity-for-now", "kernel_id": "259067"}, {"ref": "aharless/an-interesting-fact-about-investment-properties", "kernel_id": "255709"}, {"ref": "aharless/weighted-least-squares-sberbank-data", "kernel_id": "255519"}, {"ref": "aharless/estimating-1m-2m-3m-incidence-over-time", "kernel_id": "260825"}, {"ref": "aharless/from-vignesh-mohandas-xgboost-model-3", "kernel_id": "260697"}, {"ref": "aharless/from-louis-clouatre-s-xgb-russ-house", "kernel_id": "260579"}, {"ref": "aharless/probabilistic-version-of-small-improvements", "kernel_id": "261585"}, {"ref": "aharless/plugging-up-the-leak-in-the-jason-saeed-result", "kernel_id": "288067"}, {"ref": "aharless/jiwon-small-improvements-for-magic-number-results", "kernel_id": "290621"}, {"ref": "aharless/exercising-the-exorcism", "kernel_id": "295491"}, {"ref": "aharless/exorcising-the-evil-magic-number", "kernel_id": "294620"}, {"ref": "remyam/first-attempt-at-kaggle", "kernel_id": "297670"}, {"ref": "remyam/first-attempt", "kernel_id": "297674"}, {"ref": "sngahane/brief-analysis", "kernel_id": "261588"}, {"ref": "trekkerthemaker/notebooked61b467dc", "kernel_id": "268958"}, {"ref": "maheshak04/08062017-try2", "kernel_id": "279390"}, {"ref": "maheshak04/sber22062017", "kernel_id": "291885"}, {"ref": "maheshak04/xgbparamtunsub09052017", "kernel_id": "255031"}, {"ref": "maheshak04/mytry0805201701", "kernel_id": "254372"}, {"ref": "maheshak04/macro-data-for-predicting-price-doc", "kernel_id": "265519"}, {"ref": "maheshak04/support-vector-regression", "kernel_id": "264995"}, {"ref": "maheshak04/simple-xgb-eith-feature-engineering", "kernel_id": "263011"}, {"ref": "maheshak04/notebookdc25c9d4f0", "kernel_id": "262641"}, {"ref": "maheshak04/naive-subsampled-xgb-starter-16052017", "kernel_id": "260348"}, {"ref": "maheshak04/xgb-macro-data-included", "kernel_id": "266338"}, {"ref": "maheshak04/notebook22f1868362", "kernel_id": "266335"}, {"ref": "maheshak04/xgb-with-nan-and-other-cleaning-25052017", "kernel_id": "267025"}, {"ref": "maheshak04/notebook9fbca1a772", "kernel_id": "267115"}, {"ref": "maheshak04/300520171659", "kernel_id": "271304"}, {"ref": "maheshak04/30052017-linear-logistic", "kernel_id": "271094"}, {"ref": "maheshak04/notebook102c0f01d2", "kernel_id": "270281"}, {"ref": "maheshak04/xgb-with-grouping", "kernel_id": "270462"}, {"ref": "maheshak04/bayo-russian-home-changes-29052017", "kernel_id": "270425"}, {"ref": "maheshak04/macro-train-comb-with-cleaning", "kernel_id": "277564"}, {"ref": "maheshak04/xgb-with-select-macro-features-07062017", "kernel_id": "278441"}, {"ref": "maheshak04/ridge-with-cleaning", "kernel_id": "276623"}, {"ref": "maheshak04/linear-regression-with-cleaning", "kernel_id": "276594"}, {"ref": "maheshak04/simple-xgb-with-cleaning", "kernel_id": "276586"}, {"ref": "maheshak04/lasso-with-cleaning", "kernel_id": "276643"}, {"ref": "maheshak04/sgd-with-cleaning", "kernel_id": "276709"}, {"ref": "maheshak04/bayes-with-cleaning", "kernel_id": "276700"}, {"ref": "maheshak04/myfirsttry02052017", "kernel_id": "248481"}, {"ref": "maheshak04/xgbpt050520171435", "kernel_id": "252303"}, {"ref": "jbrasher6/data-exploration", "kernel_id": "245818"}, {"ref": "zliu66/naive-xgb-with-data-cleaning-0-320-lb", "kernel_id": "266139"}, {"ref": "zliu66/support-vector-regression", "kernel_id": "267744"}, {"ref": "zliu66/data-exploration", "kernel_id": "260817"}, {"ref": "jorditura/notebooke35d03dffd", "kernel_id": "245758"}, {"ref": "vrsb2006/macro-features-xgb", "kernel_id": "263999"}, {"ref": "suchitgupta60/sber-bank-script-r", "kernel_id": "259298"}, {"ref": "belkakari/notebook3b6fcc277e", "kernel_id": "245898"}, {"ref": "belkakari/notebook4d6ef15314", "kernel_id": "245899"}, {"ref": "sai4465/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "263960"}, {"ref": "elm200/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "263371"}, {"ref": "invokerk/naive-xgb-dd183b", "kernel_id": "262852"}, {"ref": "invokerk/nive-subsampled-xgb-starter", "kernel_id": "260528"}, {"ref": "pankajshr/simple-data-cleaning-and-prediction", "kernel_id": "291257"}, {"ref": "shwetak91/plots-of-variables", "kernel_id": "246627"}, {"ref": "haroldzhang/russian-housing-market-analysis-ace233", "kernel_id": "251231"}, {"ref": "haroldzhang/assemble-data-via-ace233", "kernel_id": "260929"}, {"ref": "haroldzhang/naive-house-pricing", "kernel_id": "264505"}, {"ref": "mahmud007/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "256339"}, {"ref": "hconner2/notebook183ba5c98c", "kernel_id": "245749"}, {"ref": "rafaljankowski/fork-of-naive-xgb-e63690", "kernel_id": "260661"}, {"ref": "bluezzz/notebook213e581d45", "kernel_id": "255839"}, {"ref": "bluezzz/notebook54fcc5d54c", "kernel_id": "256516"}, {"ref": "krisvija/simple-exploration-notebook-sberbank", "kernel_id": "293190"}, {"ref": "manishsaraswat/data-analysis-in-r", "kernel_id": "245666"}, {"ref": "machazthegamer/randmize-and-polynomial", "kernel_id": "277574"}, {"ref": "machazthegamer/my-try", "kernel_id": "246117"}, {"ref": "machazthegamer/mean-decrease-accuracy", "kernel_id": "284330"}, {"ref": "machazthegamer/another-try", "kernel_id": "280448"}, {"ref": "gabegal/notebookff83638393", "kernel_id": "245761"}, {"ref": "gabegal/r-housing-model", "kernel_id": "245778"}, {"ref": "gabegal/russian-housing-market", "kernel_id": "267616"}, {"ref": "gabegal/housing-market", "kernel_id": "265907"}, {"ref": "dickysudiro/still-learning-xgb", "kernel_id": "275575"}, {"ref": "dickysudiro/naive-xgb-with-imputer", "kernel_id": "259271"}, {"ref": "dickysudiro/attempt-on-sberbank-competition", "kernel_id": "251621"}, {"ref": "himanish2006/basic-exploratory-data-analysis", "kernel_id": "264721"}, {"ref": "lukaszs/another-one", "kernel_id": "276343"}, {"ref": "lukaszs/notebookd58b142806", "kernel_id": "276354"}, {"ref": "dreaml/data-analysis", "kernel_id": "245142"}, {"ref": "samdeeplearning/naive-xgb", "kernel_id": "266971"}, {"ref": "samdeeplearning/naive-xgb-lb-0-317", "kernel_id": "265977"}, {"ref": "samdeeplearning/fork-of-naive-xgb-lb-0-317", "kernel_id": "266017"}, {"ref": "samdeeplearning/naive-subsample-1-0-xgb", "kernel_id": "267618"}, {"ref": "samdeeplearning/naive-subsample-0-25-xgb", "kernel_id": "267633"}, {"ref": "samdeeplearning/naive-subsample-5-10-city", "kernel_id": "267674"}, {"ref": "samdeeplearning/deep-neural-network-for-starters-r", "kernel_id": "265020"}, {"ref": "plarmuseau/j-curve-macro", "kernel_id": "271452"}, {"ref": "plarmuseau/fork-of-naive-data-macro-xgb", "kernel_id": "259944"}, {"ref": "plarmuseau/naive-data-macro-xgb", "kernel_id": "257247"}, {"ref": "varunbhargava2012/python-xgb", "kernel_id": "258646"}, {"ref": "jiachuan/simple-exploration-notebook-sberbank", "kernel_id": "246588"}, {"ref": "philippsp/exploratory-analysis-sberbank", "kernel_id": "249586"}, {"ref": "philippsp/an-updated-collection-of-new-features", "kernel_id": "259439"}, {"ref": "anthobau/just-simple-xgb-lb-0-321", "kernel_id": "249531"}, {"ref": "yuyimiao/miaomiao", "kernel_id": "272507"}, {"ref": "yuyimiao/miaowu", "kernel_id": "272512"}, {"ref": "yuyimiao/miaoao", "kernel_id": "272490"}, {"ref": "yuyimiao/trylala", "kernel_id": "272461"}, {"ref": "yuyimiao/notebook5351dbb59c", "kernel_id": "272471"}, {"ref": "yuyimiao/miaomaioamiao", "kernel_id": "272465"}, {"ref": "yuyimiao/miaomiaomaioamaiaaa", "kernel_id": "272475"}, {"ref": "yuyimiao/notebooka5da2eb0cf", "kernel_id": "272727"}, {"ref": "yuyimiao/notebookd71cc9e830", "kernel_id": "272699"}, {"ref": "yuyimiao/notebooka0cd478d66", "kernel_id": "272820"}, {"ref": "yuyimiao/notebook6f7310bcf4", "kernel_id": "272712"}, {"ref": "yuyimiao/miaoster", "kernel_id": "273542"}, {"ref": "yuyimiao/notebookd98cf108a4", "kernel_id": "273770"}, {"ref": "yuyimiao/miaowuwu", "kernel_id": "273819"}, {"ref": "yuyimiao/henhen", "kernel_id": "273642"}, {"ref": "yuyimiao/notebook24461dec7f", "kernel_id": "274520"}, {"ref": "yuyimiao/notebookafbe6d0f63", "kernel_id": "274724"}, {"ref": "yuyimiao/notebook5e12369c29", "kernel_id": "275314"}, {"ref": "yuyimiao/notebooka6e84883b1", "kernel_id": "274886"}, {"ref": "yuyimiao/notebook84c06d9962", "kernel_id": "277114"}, {"ref": "yuyimiao/notebookdea0eb55e1", "kernel_id": "270043"}, {"ref": "yuyimiao/notebookd162eac6b4", "kernel_id": "271801"}, {"ref": "yuyimiao/notebook4fb185e26e", "kernel_id": "271779"}, {"ref": "yuyimiao/notebookcd8aaddad3", "kernel_id": "271561"}, {"ref": "yuyimiao/notebookf4a56364d0", "kernel_id": "279867"}, {"ref": "b03b02014/macroeconomic-analysis", "kernel_id": "261464"}, {"ref": "b03b02014/still-trying-to-do-better-than-magic-numbers", "kernel_id": "280120"}, {"ref": "chaote/xgb-russ-house", "kernel_id": "274817"}, {"ref": "acifitriani/notebookcfe4f13983", "kernel_id": "246748"}, {"ref": "eduardo6/notebook2a68bba2ab", "kernel_id": "247721"}, {"ref": "eduardo6/sberbank", "kernel_id": "247722"}, {"ref": "l19922017/notebook0ffe0d58fd", "kernel_id": "248211"}, {"ref": "serart/sberbank-data-analisys", "kernel_id": "271350"}, {"ref": "shu2cheng/hello", "kernel_id": "256600"}, {"ref": "funnylegs/exploratory-analysis", "kernel_id": "259989"}, {"ref": "ktg5566/naive-xgb-lb-0-317", "kernel_id": "266221"}, {"ref": "eveyuanhsiu/notebookf7aea34289", "kernel_id": "254833"}, {"ref": "nikitabu/naive-xgb-lb-0-317", "kernel_id": "259222"}, {"ref": "nikitabu/xgb-follow", "kernel_id": "274735"}, {"ref": "czfshine/naive-xgb-lb-0-317", "kernel_id": "289233"}, {"ref": "jcuypers/data-cleaning-support-function", "kernel_id": "256154"}, {"ref": "eikedehling/xgboost-ensemble-and-features", "kernel_id": "274129"}, {"ref": "neelneelpurk/sberbank-exploration", "kernel_id": "273074"}, {"ref": "neelneelpurk/notebook7d3dae98b7", "kernel_id": "269835"}, {"ref": "khalilos/data-preparation-for-sberbank", "kernel_id": "246221"}, {"ref": "khalilos/notebookf740aed7c4", "kernel_id": "256987"}, {"ref": "khalilos/notebook258196ec18", "kernel_id": "256457"}, {"ref": "khalilos/khalilos", "kernel_id": "257029"}, {"ref": "kuo1079/notebook7b03dfc3bf", "kernel_id": "261988"}, {"ref": "kevinbonnes/r-xgb-starter-basic-features-0-33-lb", "kernel_id": "245557"}, {"ref": "emarin/test01", "kernel_id": "245722"}, {"ref": "sinusoidal/still-trying-to-do-better-than-magic-number-83fce0", "kernel_id": "280591"}, {"ref": "marrvolo/notebook1f0e474042", "kernel_id": "265692"}, {"ref": "marrvolo/notebook0e03d409fa", "kernel_id": "253799"}, {"ref": "marrvolo/notebook2231eb957f", "kernel_id": "253800"}, {"ref": "karmaudel/notebook6cf38318ea", "kernel_id": "245792"}, {"ref": "timbaney1989/notebook960100b43b", "kernel_id": "251956"}, {"ref": "sereni7y/notebookcdbf9994cc", "kernel_id": "247040"}, {"ref": "alonka/notebookad20c0db25", "kernel_id": "278769"}, {"ref": "alonka/notebook8833a19be0", "kernel_id": "278687"}, {"ref": "lastmagic/data-preparation-for-sberbank", "kernel_id": "246815"}, {"ref": "raafatz/notebook44606950d9", "kernel_id": "247160"}, {"ref": "amanmalali/data-exploration-and-analysis-python", "kernel_id": "255678"}, {"ref": "shafik/notebook248d836c5e", "kernel_id": "275311"}, {"ref": "ilham9649/simple-xgb", "kernel_id": "254958"}, {"ref": "gaussmake1994/notebook0a60f807e7", "kernel_id": "247033"}, {"ref": "lavaash/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "254235"}, {"ref": "huaxiatiankong/dealing-with-multicollinearity", "kernel_id": "248301"}, {"ref": "huaxiatiankong/notebook94ca5fe75b", "kernel_id": "248293"}, {"ref": "huaxiatiankong/of-variables", "kernel_id": "248313"}, {"ref": "ainoob/notebookf476603980", "kernel_id": "251176"}, {"ref": "saeednusri/linear-model", "kernel_id": "267820"}, {"ref": "dingus148/russian-housing-cleanup-r-v2", "kernel_id": "247988"}, {"ref": "dingus148/notebookdc5ff44993", "kernel_id": "247978"}, {"ref": "benkite/complete-prediction-with-random-forest-reg", "kernel_id": "276104"}, {"ref": "dieternagel/not-another-eda", "kernel_id": "254579"}, {"ref": "junnix/house-price", "kernel_id": "248015"}, {"ref": "yangbitao/xgb-follow1", "kernel_id": "274823"}, {"ref": "yangbitao/from-bruno-do-amaral-naive-xgb-v9", "kernel_id": "268965"}, {"ref": "theyellowdart/random-forest-tutorial", "kernel_id": "277661"}, {"ref": "bklim1/gradient-boosting-regression-0-33", "kernel_id": "269893"}, {"ref": "bklim1/notebook680cb98fe0", "kernel_id": "267544"}, {"ref": "bklim1/notebook832b076e83", "kernel_id": "267545"}, {"ref": "bklim1/gradien-boosting-with-adversial-validation", "kernel_id": "267547"}, {"ref": "bklim1/notebook25c6e086c8", "kernel_id": "266530"}, {"ref": "bklim1/notebook203e71298d", "kernel_id": "266397"}, {"ref": "mzr2017/naive-xgb-lb-0-317", "kernel_id": "260258"}, {"ref": "mzr2017/simple-exploration-notebook-sberbank", "kernel_id": "277636"}, {"ref": "prashaku/notebook8a5cf0dd28", "kernel_id": "276541"}, {"ref": "prashaku/notebookccfd978403", "kernel_id": "274348"}, {"ref": "fingernight/lzhou-test", "kernel_id": "280182"}, {"ref": "isakali/notebook59905eba22", "kernel_id": "247525"}, {"ref": "mfjwr1/notebookafabb7faad", "kernel_id": "248943"}, {"ref": "mfjwr1/notebookc0f66ddf85", "kernel_id": "258038"}, {"ref": "mfjwr1/notebook272422f3c6", "kernel_id": "258039"}, {"ref": "raouia/my-project", "kernel_id": "254834"}, {"ref": "lightrain007/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "254476"}, {"ref": "dboland77/sberbank-basic-eda-tutorial", "kernel_id": "276702"}, {"ref": "dboland77/xgb-russ-house", "kernel_id": "272463"}, {"ref": "dboland77/sberbank-my-first-attempt-at-xgboost", "kernel_id": "272464"}, {"ref": "dboland77/sberbank-basic-eda", "kernel_id": "273224"}, {"ref": "dboland77/sberbank-random-forest", "kernel_id": "273695"}, {"ref": "mrpolitegrizly/banks", "kernel_id": "246163"}, {"ref": "dbs800/scratch-code", "kernel_id": "292546"}, {"ref": "lokmen/notebook894c8249fa", "kernel_id": "257687"}, {"ref": "chinki/data-cleaning", "kernel_id": "286398"}, {"ref": "subbytech/a-correlation-plot", "kernel_id": "267123"}, {"ref": "veselovmark/moscow-houses-prices-analysis", "kernel_id": "256137"}, {"ref": "veselovmark/basic-time-series-analysis-feature-selection", "kernel_id": "256425"}, {"ref": "fmkp90/linear-regression-test", "kernel_id": "258012"}, {"ref": "dababd/notebook44f7d49e0d", "kernel_id": "246000"}, {"ref": "cpattekar/notebook-sberbank", "kernel_id": "265623"}, {"ref": "jbucker/sklearn-multicollinearity-class-speedup", "kernel_id": "248217"}, {"ref": "fabiansinn/notebook5e03f454cb", "kernel_id": "259769"}, {"ref": "robertoosan/notebookbbd1676cc2", "kernel_id": "256139"}, {"ref": "gbonesso/naive-xgb", "kernel_id": "278794"}, {"ref": "korobkoff2/sberbank-russian-housing-super-market", "kernel_id": "262410"}, {"ref": "shrutikaushik/sberbank-dataset", "kernel_id": "257948"}, {"ref": "shrutikaushik/notebookf8ed4db089", "kernel_id": "258485"}, {"ref": "shrutikaushik/notebook39816570e2", "kernel_id": "254716"}, {"ref": "alexzu/notebookcc3bc8b456", "kernel_id": "245782"}, {"ref": "rafalbachorz/notebook3ecff361bd", "kernel_id": "251460"}, {"ref": "prekewen/notebook8d28aa0294", "kernel_id": "255341"}, {"ref": "yaoguolin/a-very-extensive-sberbank-exploratory-analysis", "kernel_id": "272453"}, {"ref": "datatool/naive-xgb-1b90dd", "kernel_id": "279099"}, {"ref": "datatool/naive-xgb-e25bb3", "kernel_id": "279866"}, {"ref": "arthapenn/predict-house-sale-price", "kernel_id": "251462"}, {"ref": "potapm/notebook73d0bd2c5d", "kernel_id": "248597"}, {"ref": "potapm/naive-xgb", "kernel_id": "248139"}, {"ref": "zzq20037/xgb-follow2", "kernel_id": "275230"}, {"ref": "ymohii/notebookd8eca6b6c8", "kernel_id": "249625"}, {"ref": "rameshkumarak/notebook74d9d68cca", "kernel_id": "259544"}, {"ref": "lmgusp/notebook5e836b44a7", "kernel_id": "267056"}, {"ref": "temptheme/notebook02479d89ff", "kernel_id": "247653"}, {"ref": "batfinki/notebook9bcfda45f1", "kernel_id": "248768"}, {"ref": "aralai/full-all-vs-raion-popul", "kernel_id": "263197"}, {"ref": "tastyshchi/naive-xgb", "kernel_id": "263943"}, {"ref": "itais85/notebookf1dd4bf8fb", "kernel_id": "246744"}, {"ref": "itais85/naive-xgb-89543c-itai", "kernel_id": "246746"}, {"ref": "bennelr/simple-exploration-notebook-sberbank-e03c4b", "kernel_id": "246386"}, {"ref": "bennelr/simple-exploration-notebook-sberbank", "kernel_id": "246372"}, {"ref": "bennelr/moscow-houses-prices-analysis", "kernel_id": "255712"}, {"ref": "ragaravali/notebook038e5244a4", "kernel_id": "254029"}, {"ref": "garciasebastian/notebookbab2ddd674", "kernel_id": "245670"}, {"ref": "zhimochen/russion-market-anylsis-and-predict", "kernel_id": "302469"}, {"ref": "qinhui0104/sklearn-multicollinearity-class-speedup", "kernel_id": "248925"}, {"ref": "kapilnandwana/xgb-russ-house-modified-params", "kernel_id": "272315"}, {"ref": "ktik81/notebook313b02f67b", "kernel_id": "245871"}, {"ref": "kenwilly/explore-cleanse", "kernel_id": "267588"}, {"ref": "kenwilly/xgb-iterative-submissions-v2", "kernel_id": "296987"}, {"ref": "orocklin/test-xgb-notebook", "kernel_id": "245915"}, {"ref": "lexotrion/xgd-sf", "kernel_id": "245837"}, {"ref": "lexotrion/notebook207cc3d218", "kernel_id": "252249"}, {"ref": "asimandia/notebook591436be0c", "kernel_id": "269018"}, {"ref": "v81msk/test1", "kernel_id": "246790"}, {"ref": "iancho88/russian", "kernel_id": "251361"}, {"ref": "uzhzyang/notebookbd262635d0", "kernel_id": "245378"}, {"ref": "uzhzyang/notebook317c8575e5", "kernel_id": "245379"}, {"ref": "sarima36/fork-of-fork-of-randomforestregressor-fe32c8", "kernel_id": "919034"}, {"ref": "scranney/imputations-and-variable-selection", "kernel_id": "247813"}, {"ref": "lyronw/notebook164e005920", "kernel_id": "253386"}, {"ref": "hadiyansany/notebook570cb0c4bd", "kernel_id": "249390"}, {"ref": "hadiyansany/notebook32b0710a94", "kernel_id": "249362"}, {"ref": "tareqalkhatib/notebookcb28ed2262", "kernel_id": "277340"}, {"ref": "zeyang/test-bm1", "kernel_id": "266518"}, {"ref": "wendigo/notebook75398e18fc", "kernel_id": "259521"}, {"ref": "wendigo/notebookd5b80165fc", "kernel_id": "259417"}, {"ref": "tylernolan/notebooka1884953e8", "kernel_id": "247193"}, {"ref": "datachu/firstcompetition", "kernel_id": "248388"}, {"ref": "shirazuml/notebook41b717f155", "kernel_id": "268489"}, {"ref": "jj1234/naive-xgb", "kernel_id": "253464"}, {"ref": "jj1234/notebook460c2790d2", "kernel_id": "248898"}, {"ref": "ashfauq/notebook7e4a45afbf", "kernel_id": "249200"}, {"ref": "ashfauq/notebook6602dd3cb5", "kernel_id": "249203"}, {"ref": "tayyabsaeed/feature-importance-handling-nans-outliers", "kernel_id": "254730"}, {"ref": "nicolashhh/naive-xgb-lb-0-317-d1b560", "kernel_id": "269648"}, {"ref": "pavelpapin/benchmark", "kernel_id": "255165"}, {"ref": "aminegh/1st-essay", "kernel_id": "253285"}, {"ref": "aminegh/first-attempt", "kernel_id": "257305"}, {"ref": "aminegh/notebookf9a4a01c18", "kernel_id": "258422"}, {"ref": "issammoalla/notebook82a257cf81", "kernel_id": "253749"}, {"ref": "issammoalla/linear-regression-model", "kernel_id": "257729"}, {"ref": "saifeddine/notebookfb8e3ab8b5", "kernel_id": "257436"}, {"ref": "saifeddine/linear-model", "kernel_id": "257734"}, {"ref": "taozhanghhh/xgb-follow", "kernel_id": "271274"}, {"ref": "khaledbesrour/notebook504f894fc2", "kernel_id": "257291"}, {"ref": "bayoadekanmbi/bayo-russian-home-prework-1", "kernel_id": "265462"}, {"ref": "bayoadekanmbi/bayo-russian-home-2", "kernel_id": "266352"}, {"ref": "rimbessoussia/fork-of-notebookf20261f486", "kernel_id": "257296"}, {"ref": "rimbessoussia/notebook7b88175c51", "kernel_id": "257580"}, {"ref": "rimbessoussia/fork-of-fork-of-notebookf20261f486", "kernel_id": "257585"}, {"ref": "rimbessoussia/fork-of-fork-of-fork-of-notebookf20261f486-6d08cd", "kernel_id": "258749"}, {"ref": "hejerammar/notebook96dad9182c", "kernel_id": "254807"}, {"ref": "hejerammar/notebook7b88175c51", "kernel_id": "255176"}, {"ref": "hejerammar/final", "kernel_id": "257688"}, {"ref": "hejerammar/hejer", "kernel_id": "257261"}, {"ref": "ronzohar/latest-iteration-in-this-silly-game", "kernel_id": "276770"}, {"ref": "jiekebo/sperbank-data-exploration", "kernel_id": "258500"}, {"ref": "hamrouninesrine/notebookeb63357d7d", "kernel_id": "257304"}, {"ref": "hamrouninesrine/fork-of-notebookeb63357d7d", "kernel_id": "257315"}, {"ref": "hamrouninesrine/notebook646c3eeb2c", "kernel_id": "257316"}, {"ref": "ramifethi/my-notebook", "kernel_id": "258028"}, {"ref": "ramigh/fork-of-first-attempts", "kernel_id": "257325"}, {"ref": "ramigh/notebook72772d2970", "kernel_id": "257280"}, {"ref": "ramigh/notebookbcee01f5fe", "kernel_id": "257277"}, {"ref": "hanabensmida/notebook696245693d", "kernel_id": "255551"}, {"ref": "oussema/notebook5993c653a8", "kernel_id": "257265"}, {"ref": "oussema/notebook16fa41ec42", "kernel_id": "257267"}, {"ref": "sanasisi/notebook8648d7eb05", "kernel_id": "256907"}, {"ref": "sanasisi/notebookd7aa5385c6", "kernel_id": "256724"}, {"ref": "sanasisi/notebookaaf4a5e2ff", "kernel_id": "256447"}, {"ref": "ichrakcho/notebooka5121abd52", "kernel_id": "257131"}, {"ref": "ichrakcho/notebookc1cc46aee4", "kernel_id": "257054"}, {"ref": "ichrakcho/notebook7a2292a241", "kernel_id": "257056"}, {"ref": "ichrakcho/notebookb6c4d03b71", "kernel_id": "257057"}, {"ref": "ichrakcho/notebook5b2c53d794", "kernel_id": "257248"}, {"ref": "ichrakcho/fork-of-notebooka5121abd52", "kernel_id": "257301"}, {"ref": "ichrakcho/fork-of-fork-of-notebooka5121abd52-08476b", "kernel_id": "257507"}, {"ref": "hacentayeb622/notebook85fe0dba54", "kernel_id": "256751"}, {"ref": "hacentayeb622/my-first-attempt", "kernel_id": "257214"}, {"ref": "hacentayeb622/my-first-attempt622", "kernel_id": "257678"}, {"ref": "hacentayeb622/my-attempt", "kernel_id": "257709"}, {"ref": "laakom/notebookfc4dafbcb3", "kernel_id": "257636"}, {"ref": "priyesh93/xgb-follow", "kernel_id": "275151"}, {"ref": "schoolpal/naive-xgb", "kernel_id": "257089"}, {"ref": "schoolpal/gradient-in-python-2-0-313", "kernel_id": "270259"}, {"ref": "schoolpal/upper-bound-of-the-game", "kernel_id": "279838"}, {"ref": "schoolpal/lgbm-lb-0-3093-0-3094", "kernel_id": "298535"}, {"ref": "schoolpal/modifications-to-reynaldo-s-script", "kernel_id": "298620"}, {"ref": "schoolpal/nn-stacking-magic-no-magic-30409-private-31063", "kernel_id": "299308"}, {"ref": "schoolpal/nn-model-lb-0-306-to-0-308", "kernel_id": "298954"}, {"ref": "schoolpal/fake-price-prediction-from-lb-0-2965-to-0-29518", "kernel_id": "299922"}, {"ref": "barrak/notebooke52219ce21", "kernel_id": "257309"}, {"ref": "barrak/data-mining-project", "kernel_id": "257679"}, {"ref": "bouzid1/notebookcaec11b6c7", "kernel_id": "257704"}, {"ref": "safasafa/linear-model", "kernel_id": "257697"}, {"ref": "safasafa/final-trial", "kernel_id": "289746"}, {"ref": "lukasms/notebook9029004cb4", "kernel_id": "277016"}, {"ref": "mgierlach/gradient-in-python-2-0-313", "kernel_id": "270036"}, {"ref": "mgierlach/gradient-boosting-regression-0-33", "kernel_id": "270011"}, {"ref": "ninjabrothers/asdcrvgbhunjm123", "kernel_id": "258213"}, {"ref": "jdurha0013/test-algorithm", "kernel_id": "258696"}, {"ref": "danielet/simple-xgboost-model-0-32", "kernel_id": "269048"}, {"ref": "juree9/notebook7c1e9608a7", "kernel_id": "262271"}, {"ref": "mbiesek/notebook9f4d307606", "kernel_id": "269221"}, {"ref": "zalecisco/wls-and-small-xgboost-with-macro-adjustments", "kernel_id": "268746"}, {"ref": "zalecisco/lightgbm-starter-0-33342", "kernel_id": "270136"}, {"ref": "zalecisco/from-bruno-do-amaral-naive-xgb-v9", "kernel_id": "270109"}, {"ref": "zalecisco/wls-to-create-features-for-xgboost", "kernel_id": "269181"}, {"ref": "zalecisco/naive-xgb", "kernel_id": "269632"}, {"ref": "zalecisco/still-trying-to-do-better-than-magic", "kernel_id": "277379"}, {"ref": "luigimersico/macro-variables-on-house-prices", "kernel_id": "351555"}, {"ref": "lewishuang/mytrain", "kernel_id": "273981"}, {"ref": "lewishuang/myfirsts", "kernel_id": "273983"}, {"ref": "lewishuang/myfirst", "kernel_id": "273964"}, {"ref": "lewishuang/sbbbbb", "kernel_id": "273995"}, {"ref": "xinjielu/notebook9c15e3792e", "kernel_id": "263408"}, {"ref": "gpoe96/simple-xgboost-3", "kernel_id": "265188"}, {"ref": "gpoe96/simple-xgb", "kernel_id": "269416"}, {"ref": "gpoe96/xgb-russ-house-modified-params", "kernel_id": "272800"}, {"ref": "boazvig/latest-iteration-in-this-silly-game", "kernel_id": "276760"}, {"ref": "tingtingdan/fork-of-feature-engineering-validation-strategy", "kernel_id": "299360"}, {"ref": "amiryi/latest-iteration-in-this-silly-game", "kernel_id": "276765"}, {"ref": "aharongal79/latest-iteration-in-this-silly-game", "kernel_id": "276766"}, {"ref": "aharongal79/silly-silly-data-ag", "kernel_id": "278852"}, {"ref": "aharongal79/silly-silly-data", "kernel_id": "277519"}, {"ref": "aharongal79/try1-ag", "kernel_id": "277681"}, {"ref": "magickris93/data-exploration-and-simple-xgb", "kernel_id": "269974"}, {"ref": "kkoras/russian-housing-market", "kernel_id": "269867"}, {"ref": "winal1/notebooksb12", "kernel_id": "267173"}, {"ref": "swet11/notebook61bfae51ac", "kernel_id": "266271"}, {"ref": "joannap/predicted-prices", "kernel_id": "269685"}, {"ref": "joannap/notebook7145599542", "kernel_id": "269678"}, {"ref": "joannap/notebookbd843a6a06", "kernel_id": "269683"}, {"ref": "krutko/cleaning-and-boosting", "kernel_id": "270053"}, {"ref": "senyaohan/use-partial-pca-for-collinearity-lb-0-328-w-xgb", "kernel_id": "269296"}, {"ref": "bliu03/notebook918255d9c8", "kernel_id": "277844"}, {"ref": "weihao666/xgb-follow", "kernel_id": "274991"}, {"ref": "anniehyhung/random-forest-tutorial", "kernel_id": "277607"}, {"ref": "jcooke/random-forest-tutorial", "kernel_id": "277616"}, {"ref": "sunilk1/random-forest-tutorial", "kernel_id": "277609"}, {"ref": "bitsurfer/sberbank-competition", "kernel_id": "278723"}, {"ref": "bitsurfer/notebookaddad7f879", "kernel_id": "278713"}, {"ref": "waxbabi/naive-xgb-lb-0-317", "kernel_id": "281376"}, {"ref": "waxbabi/latest-iteration-in-this-silly-game", "kernel_id": "281377"}, {"ref": "teamtipcs/simple-exploration-notebook-sberbank", "kernel_id": "290910"}, {"ref": "tahayoussef1/tt-notebook", "kernel_id": "290512"}, {"ref": "danilz/explained-data-prep-feat-eng-xgb-0-314", "kernel_id": "414812"}, {"ref": "kerened/simple-exploration-notebook-sberbank", "kernel_id": "567481"}, {"ref": "tamargab/level1-baseline-with-xgb", "kernel_id": "918394"}, {"ref": "binrey/xgboost-feature-engineering-0-329", "kernel_id": "1461978"}, {"ref": "dromosys/russian-housing-market", "kernel_id": "3379498"}, {"ref": "palbha/russian-house-price-prediction", "kernel_id": "3354140"}, {"ref": "duccao/outlier-treatment", "kernel_id": "8493975"}, {"ref": "duccao/select-models-with-statistic-test", "kernel_id": "8540403"}, {"ref": "olgabelitskaya/sql-cookbook2", "kernel_id": "8674834"}, {"ref": "mtevos/clustering-examples", "kernel_id": "9785771"}, {"ref": "profcarlosdelfino/dicas-para-uso-de-arvore-de-decis-o", "kernel_id": "9106745"}, {"ref": "rohandeysarkar/factors-affecting-house-prices-full-eda", "kernel_id": "10236035"}, {"ref": "dmkravtsov/11-sberbank", "kernel_id": "10850392"}, {"ref": "gcspkmdr/adversarial-validation-on-garbage", "kernel_id": "11568352"}, {"ref": "otyanootomoni/noob-notebook", "kernel_id": "12143971"}, {"ref": "no66le/course-project-housing-market-price-prediction", "kernel_id": "12490213"}, {"ref": "kamalkhumar/hyper-parameter-tuning-with-keras", "kernel_id": "13803678"}, {"ref": "nvm322/main-file", "kernel_id": "14928930"}, {"ref": "elvirasalakhova/sber-housing-prices", "kernel_id": "14623469"}, {"ref": "emorkrin/baselinesber", "kernel_id": "14799037"}, {"ref": "ziyun41/cz4041-data-analysis", "kernel_id": "15878767"}, {"ref": "zsarahz/lgbm-randomgridsearch", "kernel_id": "16216838"}, {"ref": "elifbaydogann/sberbank-visualization-and-data-cleaning", "kernel_id": "16890884"}, {"ref": "zsarahz/kaggle-shorts-plotting-price-on-a-map", "kernel_id": "17580214"}, {"ref": "younggod/notebook487c8258b3", "kernel_id": "17370328"}, {"ref": "bodhi11/diplom-sber", "kernel_id": "20714256"}, {"ref": "navneetkr123/sberbank-analysis-and-modelling", "kernel_id": "20435338"}, {"ref": "viratayya/notebook1bf3bdd34e", "kernel_id": "21662568"}, {"ref": "sarthaktyagi01/sberbank-exploratory-data-analysis", "kernel_id": "21433810"}, {"ref": "sarthaktyagi01/sberbank-house-price-prediction-ann-model", "kernel_id": "21456262"}, {"ref": "shlokramteke/sberbank-data-cleaning-and-modelling", "kernel_id": "21538386"}, {"ref": "flafuji/basic-sberbank-russian-housing-explained-eda-model", "kernel_id": "22848523"}, {"ref": "dmitrypyankov/mynotes", "kernel_id": "22962980"}, {"ref": "xoring/notebook82da3529f5", "kernel_id": "23728612"}, {"ref": "flafuji/sberbank-russian-explained-eda-visualization", "kernel_id": "23976789"}, {"ref": "ivanovaviktoria/notebook-ds-3", "kernel_id": "24615899"}, {"ref": "veronikabalbysheva/housing-market", "kernel_id": "25910582"}, {"ref": "chewziqing/data-cleaning", "kernel_id": "25595320"}, {"ref": "zzhou016/simple-exploration-notebook-sberbank", "kernel_id": "26501593"}, {"ref": "zzhou016/eda-focus-on-missing-values-and-simple-xgb", "kernel_id": "26499837"}, {"ref": "zzhou016/naive-xgb", "kernel_id": "26502764"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "gregoriohartono/clustering", "kernel_id": "31872104"}, {"ref": "qet0826/pjw-project", "kernel_id": "32602318"}, {"ref": "ke1vnma/sberbank-russian-housing-market-eda", "kernel_id": "33828943"}, {"ref": "mohdbilalhaider/data-science-assignment-1", "kernel_id": "34315717"}, {"ref": "yifankayla/lightbgm1", "kernel_id": "37724494"}, {"ref": "igorcapistrano/ac2-ia-2-2", "kernel_id": "37994868"}, {"ref": "dnxavier/190912-190991-ac2-regressao", "kernel_id": "38490042"}, {"ref": "murilo47474/ac2-regress-o", "kernel_id": "38171895"}, {"ref": "weltherconstantino/ac2-regress-o", "kernel_id": "38519789"}, {"ref": "mgnunes/regress-o-ac2", "kernel_id": "38286817"}, {"ref": "kunshu14/ac2-bora", "kernel_id": "38281692"}, {"ref": "matheusgma/ac2-ia", "kernel_id": "38523746"}, {"ref": "matheusgma/ac2-i-a", "kernel_id": "38527846"}, {"ref": "rhuansartorte/190546-190930-ac2", "kernel_id": "38529971"}, {"ref": "julionborges/regress-o-ac2", "kernel_id": "38172405"}, {"ref": "lucasfontan/ac2-regress-o-1", "kernel_id": "38525740"}, {"ref": "waldikrosa/ac2-regre-o", "kernel_id": "38491194"}, {"ref": "waldikrosa/regress-o-ac2", "kernel_id": "38483825"}, {"ref": "mprenan/163066-regressao-ac2", "kernel_id": "38519986"}, {"ref": "tsilva1984/141650-ac2-regressao", "kernel_id": "38479574"}, {"ref": "rodolfoaugustoo/160121-163627-ac2", "kernel_id": "38455418"}, {"ref": "kaiomcostalemos/regress-o", "kernel_id": "38530442"}, {"ref": "guilhermepvicente/ac2rg", "kernel_id": "38527141"}, {"ref": "adeniltonribeiro/ac2-regress-o", "kernel_id": "38374513"}, {"ref": "rickloterio/notebookdaf7cf63e6", "kernel_id": "38523035"}, {"ref": "gustavomiranda00/notebook6bbcb60db0", "kernel_id": "38528874"}, {"ref": "renatomingorance/ac2-ia-5", "kernel_id": "38528840"}, {"ref": "vbatista1/ac2-172056", "kernel_id": "39042963"}, {"ref": "tbnguyen/eda-model-testing", "kernel_id": "42791435"}, {"ref": "snowkix/russian-housing-xgb", "kernel_id": "43164267"}, {"ref": "aftabashrafav/eda-sberbank", "kernel_id": "49791940"}, {"ref": "anastasiakorotkova/sber-eda", "kernel_id": "50260810"}, {"ref": "limuhan/ml-rumkt-data", "kernel_id": "55534067"}, {"ref": "limuhan/ml-rumkt", "kernel_id": "55515480"}, {"ref": "rizwanqq/notebookda41306f61", "kernel_id": "74945192"}, {"ref": "hindabdalla/eda-assignment", "kernel_id": "74997480"}, {"ref": "saarbu/housing-market-datasets", "kernel_id": "75187013"}, {"ref": "ar33ba/eda-exercise", "kernel_id": "75058980"}, {"ref": "asmarida/notebook1b2aef411b", "kernel_id": "75081994"}, {"ref": "raeedabdumohammed/eda-exercise", "kernel_id": "75081664"}, {"ref": "khannoaman210088609/eda-exercise", "kernel_id": "75150672"}, {"ref": "rgict716/eda-assignment-rg", "kernel_id": "75149532"}, {"ref": "maaxahmad/assignment-1-data-science", "kernel_id": "106490912"}, {"ref": "alishahroor34060/assignment-1", "kernel_id": "106638653"}, {"ref": "masasovilj/master-4", "kernel_id": "119112213"}]}
{"competition_id": "6404", "kernels": []}
{"competition_id": "6420", "kernels": []}
{"competition_id": "6422", "kernels": []}
{"competition_id": "6438", "kernels": []}
{"competition_id": "6443", "kernels": []}
{"competition_id": "6466", "kernels": []}
{"competition_id": "6467", "kernels": []}
{"competition_id": "6469", "kernels": [{"ref": "wendykan/invasive-species-list-files", "kernel_id": "252784"}, {"ref": "rikenmehta03/notebookf0fc2a6069", "kernel_id": "254419"}, {"ref": "rikenmehta03/notebook5c8e6de130", "kernel_id": "254436"}, {"ref": "pratik1390/notebook1dbf89f94b", "kernel_id": "258721"}, {"ref": "pratik1390/notebook21d5d90bac", "kernel_id": "258722"}, {"ref": "ardiya/notebook46aac50ee0", "kernel_id": "259827"}, {"ref": "ardiya/tensorflow-vgg-pretrained", "kernel_id": "259813"}, {"ref": "kalhan/testing", "kernel_id": "268568"}, {"ref": "czarnik/notebookb1b909f44d", "kernel_id": "272402"}, {"ref": "czarnik/invasive", "kernel_id": "272403"}, {"ref": "czarnik/notebook765ce6d368", "kernel_id": "272398"}, {"ref": "zhiyue/visualization-using-cv2-and-keras-starter", "kernel_id": "314563"}, {"ref": "patilpramod2157/transfer-learning-using-inception-resnet-v2", "kernel_id": "263487"}, {"ref": "manojagr/need-help-with-plain-tensorflow-cnn", "kernel_id": "344019"}, {"ref": "djobey/notebook5f181316a1", "kernel_id": "280115"}, {"ref": "thefighter/keras-starter", "kernel_id": "312245"}, {"ref": "ramaswamy/notebookc8c00d19ff", "kernel_id": "271220"}, {"ref": "ylchan87/testscript", "kernel_id": "280233"}, {"ref": "arjoonn/notebook6a9ea51564", "kernel_id": "256092"}, {"ref": "jonahhsmith/w207-jonah", "kernel_id": "323320"}, {"ref": "aagundez/notebook727b3a7234", "kernel_id": "252782"}, {"ref": "aagundez/test-one-two-three-4324234", "kernel_id": "265955"}, {"ref": "paulorzp/xgboost-starter", "kernel_id": "253535"}, {"ref": "herber523/notebooka45069de21", "kernel_id": "253851"}, {"ref": "shuyuan00/resnet50-with-0-985lb", "kernel_id": "334009"}, {"ref": "vievie31/invasive-species-monitoring-lbp-descriptor", "kernel_id": "270858"}, {"ref": "jihyeseo/image-identify", "kernel_id": "958658"}, {"ref": "animatronbot/solving-invasive-species-monitoring", "kernel_id": "315539"}, {"ref": "finlay/naive-bagging-cnn-pb0-985", "kernel_id": "268142"}, {"ref": "oysteijo/apriori-probabilities", "kernel_id": "252805"}, {"ref": "ievgenvp/keras-flow-from-directory-on-python", "kernel_id": "333478"}, {"ref": "harveywang/use-keras-pre-trained-vgg16-acc-98", "kernel_id": "322593"}, {"ref": "sweetriya/notebookf4787b27de", "kernel_id": "261822"}, {"ref": "denespanta/custom-nn-with-keras", "kernel_id": "329988"}, {"ref": "ogurtsov/0-99-with-r-and-keras-inception-v3-fine-tune", "kernel_id": "326482"}, {"ref": "jinrui/youhaizhiwu", "kernel_id": "270519"}, {"ref": "mbeierling/retraining-inception-v3", "kernel_id": "275465"}, {"ref": "netzone/visualization-using-cv2-and-keras-starter", "kernel_id": "307044"}, {"ref": "idv2005/pytorch-starter-lb-0-988", "kernel_id": "301012"}, {"ref": "suhasmallya/keras-based-model-0-98lb", "kernel_id": "323817"}, {"ref": "algila/inception-v3-and-k-fold-in-python-0-98996", "kernel_id": "330344"}, {"ref": "bhuvaneshwaran/invasive-species-monitoring-keras", "kernel_id": "303276"}, {"ref": "ayaseeli/getting-started-cnn", "kernel_id": "285762"}, {"ref": "amlacorp/keras-starter-fork", "kernel_id": "255489"}, {"ref": "cristianpb/explore-the-pictures-how-invasive-looks-like", "kernel_id": "274540"}, {"ref": "meikintom/finetune-vgg16-0-97-with-minimal-effort", "kernel_id": "328828"}, {"ref": "stansilas/data-exploration-first-trial", "kernel_id": "253391"}, {"ref": "darrellulm/keras-pretrained-vgg16-sample-test", "kernel_id": "260631"}, {"ref": "wisedoge/simple-data-visualization", "kernel_id": "254195"}, {"ref": "crequena/starter-s-pack-for-invasives-detection", "kernel_id": "253245"}, {"ref": "crequena/notebook35d1a2a5e3", "kernel_id": "252978"}, {"ref": "xd1234/notebooke186c6f2fc", "kernel_id": "257480"}, {"ref": "manishsaraswat/invasive", "kernel_id": "259490"}, {"ref": "fenggoahead/starter-for-cnn-keras-not-finished", "kernel_id": "264123"}, {"ref": "fenggoahead/using-pca-and-svm-not-useful", "kernel_id": "282130"}, {"ref": "aariani/notebookab0541d6f7", "kernel_id": "254725"}, {"ref": "alusravs/invasive-species-vgg16-starter-code-91-2", "kernel_id": "344579"}, {"ref": "chmaxx/finetune-vgg16-0-97-with-minimal-effort", "kernel_id": "268177"}, {"ref": "shu2cheng/notebook69422b5d7b", "kernel_id": "257651"}, {"ref": "h123453047/build-cnn-model-with-keras", "kernel_id": "303214"}, {"ref": "jamesrequa/keras-k-fold-inception-v3-1st-place-lb-0-99770", "kernel_id": "338644"}, {"ref": "fujisan/use-keras-pre-trained-vgg16-acc-98", "kernel_id": "255824"}, {"ref": "kengoichiki/notebooke813b17308", "kernel_id": "254223"}, {"ref": "jaredarcilla/invasive-species-inception", "kernel_id": "369482"}, {"ref": "itjygql/notebook406e0cac97", "kernel_id": "282909"}, {"ref": "derbin/notebook81378b1018", "kernel_id": "255899"}, {"ref": "canisindica/sd-keras-beginner", "kernel_id": "259069"}, {"ref": "babala/notebook5fe05d1427", "kernel_id": "260583"}, {"ref": "babala/test-demo1", "kernel_id": "260589"}, {"ref": "pfnsec/notebook4cf76027ce", "kernel_id": "275362"}, {"ref": "david26694/invasive-species-with-transfer-learning", "kernel_id": "856173"}, {"ref": "lipei13/keras-k-fold-inception-v3-1st-place-lb-0-99770", "kernel_id": "452867"}, {"ref": "ambarish/invasive-species-monitoring-analysis", "kernel_id": "1592935"}, {"ref": "rajeevctrl/invasivespeciesmonitoring-cnn", "kernel_id": "1567604"}, {"ref": "lbronchal/keras-pre-trained-vgg16-kaggle-runnable-version", "kernel_id": "1021000"}, {"ref": "vijaypagi/invasive-species", "kernel_id": "1295003"}, {"ref": "cooldba/keras-pre-trained-vgg16-kaggle-runnable-version", "kernel_id": "1471395"}, {"ref": "sahuja295/invasive-species-monitoring", "kernel_id": "1985259"}, {"ref": "anuragshas/invasive-species", "kernel_id": "3542957"}, {"ref": "shivamsarawagi/speciesimagedetection", "kernel_id": "3330237"}, {"ref": "simpletonwang/dl-hw1", "kernel_id": "4034816"}, {"ref": "leesangju92/ism-inceptionresnetv2", "kernel_id": "5979093"}, {"ref": "joelpires/pytorch-invasive-species", "kernel_id": "7244746"}, {"ref": "tefusha/notebook8cdadc77de", "kernel_id": "18334533"}, {"ref": "shkim4738/cutmix-classification", "kernel_id": "20229690"}, {"ref": "afzal1232981/invasive-species-monitoring-lbp-descriptor", "kernel_id": "22475463"}, {"ref": "heshamzaky/final", "kernel_id": "45763510"}, {"ref": "haoqingsong/invasive-species-monitoring-twin-score-0-99122", "kernel_id": "46451596"}, {"ref": "yahia21/ossmodel-1111", "kernel_id": "49059042"}, {"ref": "elsayednashaat/dogs-vs-cats-inceptionnet-pytorch", "kernel_id": "57286524"}]}
{"competition_id": "6476", "kernels": []}
{"competition_id": "6482", "kernels": []}
{"competition_id": "6483", "kernels": []}
{"competition_id": "6495", "kernels": []}
{"competition_id": "6513", "kernels": []}
{"competition_id": "6520", "kernels": []}
{"competition_id": "6535", "kernels": []}
{"competition_id": "6538", "kernels": [{"ref": "jihyeseo/image-jpeg", "kernel_id": "958673"}, {"ref": "leyox8/pl-cascade", "kernel_id": "108397322"}]}
{"competition_id": "6539", "kernels": []}
{"competition_id": "6552", "kernels": []}
{"competition_id": "6565", "kernels": [{"ref": "raviannaswamy/xgboost-starter", "kernel_id": "273728"}, {"ref": "raviannaswamy/mercedez-baseline-2", "kernel_id": "274859"}, {"ref": "raviannaswamy/mercedez-baseline-ra", "kernel_id": "275155"}, {"ref": "moritzg/notebook1d9f2d59d1", "kernel_id": "277545"}, {"ref": "nigelcarpenter/simple-xgboost-starter", "kernel_id": "283813"}, {"ref": "ab90hi/a-simple-glmnet-lb-0-54643", "kernel_id": "272152"}, {"ref": "asymptote/all-zero-columns", "kernel_id": "272672"}, {"ref": "tjungblut/mercedez-baseline-2", "kernel_id": "275104"}, {"ref": "klucar/notebook0c987a892e", "kernel_id": "272677"}, {"ref": "tobikaggle/mb-h20-dnn-average", "kernel_id": "275770"}, {"ref": "tobikaggle/pipeline-to-mercedes-luxury", "kernel_id": "275784"}, {"ref": "tobikaggle/humble-lightgbm-starter-pca-loop-average", "kernel_id": "277206"}, {"ref": "tobikaggle/mercedez-baseline-2", "kernel_id": "275478"}, {"ref": "tobikaggle/humble-lightgbm-starter", "kernel_id": "272955"}, {"ref": "tobikaggle/humble-lightgbm-starter-with-learning-curve", "kernel_id": "272980"}, {"ref": "tobikaggle/easy-feature-selection-pipeline-0-55-at-lb", "kernel_id": "317444"}, {"ref": "tobikaggle/stacked-then-averaged-models-0-5697", "kernel_id": "282615"}, {"ref": "amitrajsingh/simple-exploration-notebook-mercedes", "kernel_id": "273315"}, {"ref": "kumareshd/trying-out", "kernel_id": "272778"}, {"ref": "kumareshd/starter-xgboost", "kernel_id": "272780"}, {"ref": "kumareshd/learning-keras", "kernel_id": "274604"}, {"ref": "mikeskim/mercedez-baseline-2", "kernel_id": "278632"}, {"ref": "mikeskim/mercedez-baseline-3", "kernel_id": "278659"}, {"ref": "mikeskim/mercedez-baseline-3nb", "kernel_id": "278670"}, {"ref": "mikeskim/mercedez-baseline-2b", "kernel_id": "278673"}, {"ref": "sudalairajkumar/simple-exploration-notebook-mercedes", "kernel_id": "271508"}, {"ref": "abhinavchoudhury/binarizing-categorical-variables", "kernel_id": "286027"}, {"ref": "satyaprakash1986/notebook9bc2bc8a81", "kernel_id": "273375"}, {"ref": "ckroxigor/notebook5e1ed1189d", "kernel_id": "275956"}, {"ref": "akilaw/starter-xgboost", "kernel_id": "273547"}, {"ref": "akilaw/xgboost-starter", "kernel_id": "278151"}, {"ref": "aamaia/slick", "kernel_id": "273726"}, {"ref": "habbeda/remove-some-useless-variables", "kernel_id": "273512"}, {"ref": "danofer/stack-xgb-with-skl", "kernel_id": "293507"}, {"ref": "b00ris/notebooke157a02054", "kernel_id": "274468"}, {"ref": "christph/a-probabilistic-programming-starter-with-stan", "kernel_id": "277476"}, {"ref": "usinha/notebook1651e9750f", "kernel_id": "272484"}, {"ref": "cetrulin/pca-and-y-3d-scatter", "kernel_id": "274352"}, {"ref": "sbairishal/notebookdd14f284d4", "kernel_id": "272062"}, {"ref": "sbairishal/xgboost-starter", "kernel_id": "272072"}, {"ref": "guilhermepaiva/notebook5039fb83df", "kernel_id": "273694"}, {"ref": "srikarappal/simple-exploration-notebook-mercedes-srk", "kernel_id": "272500"}, {"ref": "sabbasizadeh/why-i-guess-id-contains-some-hints", "kernel_id": "282612"}, {"ref": "loveall/advanced-feature-engineering-ohe-pca-ica", "kernel_id": "276603"}, {"ref": "loveall/a-probabilistic-programming-starter-with-stan", "kernel_id": "277773"}, {"ref": "mavilo/noise-in-data", "kernel_id": "290298"}, {"ref": "rdoume/mercedes-eda-xgboost-starter-0-55", "kernel_id": "271702"}, {"ref": "rdoume/improved-basedline", "kernel_id": "283519"}, {"ref": "rdoume/mercedez-baseline-3", "kernel_id": "280739"}, {"ref": "varunnambiar/rf-regressor", "kernel_id": "275878"}, {"ref": "maggiezhou/20170603", "kernel_id": "274542"}, {"ref": "maggiezhou/20170602", "kernel_id": "274059"}, {"ref": "maggiezhou/notebookbf82b58329", "kernel_id": "277481"}, {"ref": "saurabhbansal/exploring-the-usage-of-id", "kernel_id": "305482"}, {"ref": "wangsijia/a-complete-eda-with-a-terrible-baseline", "kernel_id": "275331"}, {"ref": "arsenyinfo/easy-feature-selection-pipeline-0-55-at-lb", "kernel_id": "271766"}, {"ref": "rsakata/xgboost-private-lb-0-55290", "kernel_id": "307764"}, {"ref": "pappukrjha/risk-table-for-cat-features-xgb-first-take", "kernel_id": "272971"}, {"ref": "adarshchavakula/how-to-cross-validate-properly", "kernel_id": "299165"}, {"ref": "jeffhebert/heteroscedasticity-of-test-time-predictions", "kernel_id": "303066"}, {"ref": "jeffhebert/replicating-marinelli-s-lb-simulation", "kernel_id": "305513"}, {"ref": "yoganand/notebookf275505317", "kernel_id": "280431"}, {"ref": "zheng11/baseline1", "kernel_id": "280148"}, {"ref": "machinesearch/mykernel", "kernel_id": "272599"}, {"ref": "machinesearch/notebook3f3a5d5bdd", "kernel_id": "273366"}, {"ref": "ahmedg/deep-learning-0-55326-for-now", "kernel_id": "276178"}, {"ref": "ahmedg/xgb-lb-0-54555", "kernel_id": "271666"}, {"ref": "nachiappanpl/a-novice-s-exploration", "kernel_id": "273114"}, {"ref": "opanichev/simple-xgb", "kernel_id": "271617"}, {"ref": "nandhakumarm/data-exploration-and-xgboost-model-r", "kernel_id": "274237"}, {"ref": "steubk/looking-for-outliers", "kernel_id": "288662"}, {"ref": "steubk/a-trustable-model", "kernel_id": "291157"}, {"ref": "palanikrishnan/mercedes-exploration-notebook", "kernel_id": "274099"}, {"ref": "palanikrishnan/learning-xgboost-mercedes", "kernel_id": "274102"}, {"ref": "tantanchen/notebook5bb8ed1b95", "kernel_id": "272561"}, {"ref": "tantanchen/notebook717a4383eb", "kernel_id": "272819"}, {"ref": "chunkaiwang/notebook3dbf428029", "kernel_id": "279419"}, {"ref": "yesemsanthoshkumar/notebook8a129f179c", "kernel_id": "271654"}, {"ref": "powerstat2013/mercedes-eda-xgboost-starter-0-55", "kernel_id": "271874"}, {"ref": "powerstat2013/try-1500-baselines-to-start-with-lb-0-56", "kernel_id": "274072"}, {"ref": "saopayne/benz-kernel-one", "kernel_id": "280454"}, {"ref": "wti200/deep-neural-network-r", "kernel_id": "273704"}, {"ref": "wti200/xgboost-with-one-hot-encoding-r", "kernel_id": "273274"}, {"ref": "wti200/deep-neural-network-parameter-search-r", "kernel_id": "301549"}, {"ref": "liulong/notebook25ef663880", "kernel_id": "280190"}, {"ref": "scirpus/not-an-xgboost-solution", "kernel_id": "280652"}, {"ref": "scirpus/knn-regressor", "kernel_id": "287965"}, {"ref": "scirpus/gp-with-21-params", "kernel_id": "285929"}, {"ref": "scirpus/duplicates-in-y-space", "kernel_id": "282197"}, {"ref": "scirpus/overfit-with-gp-features", "kernel_id": "303292"}, {"ref": "scirpus/x261-importance", "kernel_id": "301645"}, {"ref": "scirpus/small-gp-models", "kernel_id": "290392"}, {"ref": "scirpus/duplicates-duplicates", "kernel_id": "290496"}, {"ref": "scirpus/four-blob-tsne", "kernel_id": "298125"}, {"ref": "scirpus/simple-decision-tree", "kernel_id": "298851"}, {"ref": "scirpus/one-line-model-lb-554", "kernel_id": "278708"}, {"ref": "kartikkannapur/notebook9169c423b3", "kernel_id": "279929"}, {"ref": "budhiraja/python-pca-regression-baseline-0-54-0-53", "kernel_id": "278282"}, {"ref": "pixixi/notebook92f924f948", "kernel_id": "280444"}, {"ref": "pixixi/baseline-remove-complementary-data", "kernel_id": "280450"}, {"ref": "chargolonet/pca-and-linear-regression", "kernel_id": "281605"}, {"ref": "tezdhar/brum-brum", "kernel_id": "275082"}, {"ref": "carloshuertas/superscript", "kernel_id": "280904"}, {"ref": "carloshuertas/no-hi-script", "kernel_id": "279811"}, {"ref": "carloshuertas/xgb55870", "kernel_id": "272898"}, {"ref": "carloshuertas/xgbpca", "kernel_id": "273117"}, {"ref": "carloshuertas/randomxgb", "kernel_id": "272570"}, {"ref": "carloshuertas/xgbpcav2", "kernel_id": "273601"}, {"ref": "demonvortex/notebook6ab7709285", "kernel_id": "272307"}, {"ref": "cttsai/y-value-trick-sample-w-xt-sgdr-lb-0-553", "kernel_id": "292726"}, {"ref": "cttsai/y-value-trick-w-rf-xt-lm-lb-0-558", "kernel_id": "299015"}, {"ref": "justfor/metric-r-2-and-mse-in-comparison", "kernel_id": "285605"}, {"ref": "kantsuiex/single-xgb-model", "kernel_id": "291259"}, {"ref": "christofer/wide-and-deep-classifier-implemented-in-tensorflow", "kernel_id": "290190"}, {"ref": "coinlab/quora-inspiration-mercedes", "kernel_id": "309918"}, {"ref": "satadru5/benz-another-try", "kernel_id": "279545"}, {"ref": "satadru5/baselane-lb-0-566", "kernel_id": "280374"}, {"ref": "satadru5/baselines-to-start-with-lb-0-56-2000-itertn", "kernel_id": "274091"}, {"ref": "satadru5/mercedes-benz-xgb-modeling-lb-score-0-54472", "kernel_id": "273061"}, {"ref": "satadru5/notebook1e5a479224", "kernel_id": "277395"}, {"ref": "satadru5/mercedes-benz-0-56-baseline", "kernel_id": "277397"}, {"ref": "strizzo/get-dummies", "kernel_id": "280566"}, {"ref": "rafaelgcpp/notebook65c22a7b2f", "kernel_id": "276963"}, {"ref": "rafaelgcpp/notebookfe285cd29d", "kernel_id": "276984"}, {"ref": "mohitlimje/notebook8bb2334393", "kernel_id": "273255"}, {"ref": "mohitlimje/notebook8d59643c2f", "kernel_id": "273262"}, {"ref": "kezarmader/python-binary-data-with-linear-reg-v2", "kernel_id": "281804"}, {"ref": "deepaklabh/notebook44f6f800f0", "kernel_id": "272556"}, {"ref": "domie21/notebook8f4fb5b26b", "kernel_id": "276252"}, {"ref": "mtfall/notebook49e1fb2e38", "kernel_id": "273086"}, {"ref": "abedkhooli/gridsearchcv-and-xgbregressor-forked-edited", "kernel_id": "277680"}, {"ref": "abedkhooli/duplicates-in-train-and-test", "kernel_id": "276686"}, {"ref": "chambox/notebook7334b4e216", "kernel_id": "278558"}, {"ref": "priyankas/my-first-attempt-in-data-analysis", "kernel_id": "580125"}, {"ref": "hakeem/stacked-then-averaged-models-0-5697", "kernel_id": "281021"}, {"ref": "hakeem/baselane-lb-0-566", "kernel_id": "279932"}, {"ref": "chinta/xgboost-starter", "kernel_id": "278976"}, {"ref": "krrish1729/notebookd9dec7ff8e", "kernel_id": "279827"}, {"ref": "krrish1729/feature-engineering-and-visualization", "kernel_id": "277137"}, {"ref": "behrang/mercedez-baseline-2", "kernel_id": "276840"}, {"ref": "behrang/bagging-knn", "kernel_id": "274726"}, {"ref": "behrang/baseline", "kernel_id": "279972"}, {"ref": "ermolushka/starter-xgboost", "kernel_id": "271738"}, {"ref": "abhilashawasthi/baselines-to-start-with-lb-0-56", "kernel_id": "274541"}, {"ref": "lsinev/r-xgboost-starter-with-additional-features", "kernel_id": "288120"}, {"ref": "lsinev/mercedes-r-h2o-stackedensemble-starter", "kernel_id": "299482"}, {"ref": "boshuang/theoretical-limit-of-r2-for-this-competition", "kernel_id": "278349"}, {"ref": "silverstone1903/xgb-starter-r", "kernel_id": "272724"}, {"ref": "silverstone1903/xgboost-grid-search-r", "kernel_id": "276033"}, {"ref": "lorismichel/baselane-lb-0-566", "kernel_id": "279981"}, {"ref": "lorismichel/notebook4e7cc5b3d5", "kernel_id": "274308"}, {"ref": "lorismichel/basic-exploration", "kernel_id": "274310"}, {"ref": "tjpajala/notebooka577c6b749", "kernel_id": "278796"}, {"ref": "donutboy/simple-exploration-notebook-groups", "kernel_id": "272990"}, {"ref": "sionek/stack-of-svm-elasticnet-xgboost-rf-0-55", "kernel_id": "279534"}, {"ref": "jpmiller/visualizing-structure-for-binary-variables", "kernel_id": "275559"}, {"ref": "gsmafra/stacked-then-averaged-models-421-random-seed", "kernel_id": "307375"}, {"ref": "tharindu99/notebook0347d06964", "kernel_id": "273276"}, {"ref": "ssk1862/data-exploration-and-xgboost-model-r-008165", "kernel_id": "287999"}, {"ref": "bearstrikesback/why-you-shouldn-t-rely-on-public-lb", "kernel_id": "276008"}, {"ref": "rishabharker/notebook51b050bd96", "kernel_id": "280906"}, {"ref": "rishabharker/notebook9dd688604c", "kernel_id": "279736"}, {"ref": "xanderhorn/notebook5314a4fe4f", "kernel_id": "274392"}, {"ref": "xanderhorn/notebookaafeef1495", "kernel_id": "274395"}, {"ref": "xanderhorn/first-date-with-data-eda", "kernel_id": "274401"}, {"ref": "xanderhorn/notebook0a03a56331", "kernel_id": "274228"}, {"ref": "xanderhorn/train-r-ml-models-efficiently-with-mlr", "kernel_id": "290231"}, {"ref": "niks2000/mercedez-baseline-2", "kernel_id": "276289"}, {"ref": "niks2000/mercedez-baseline3", "kernel_id": "279473"}, {"ref": "surajbhu/notebook0990cad4a0", "kernel_id": "275125"}, {"ref": "gpapadop79/starter-xgboost", "kernel_id": "272644"}, {"ref": "gpapadop79/mercedes-eda-xgboost-starter-0-55", "kernel_id": "272539"}, {"ref": "gpapadop79/mercedez-baseline-2", "kernel_id": "274660"}, {"ref": "anubhav3377/17th-place-solution-private-score-0-55378", "kernel_id": "308678"}, {"ref": "alabsinatheer/mercedes-benz-first-model-stacking-1", "kernel_id": "277528"}, {"ref": "themixedfermions/neural-network-with-dropout", "kernel_id": "279309"}, {"ref": "themixedfermions/multiplicative-gating-model", "kernel_id": "280387"}, {"ref": "dmi3kno/mercedes-all-features-private-lb-0-54848", "kernel_id": "307377"}, {"ref": "dmi3kno/mercedes-magic-features-private-lb-0-54200", "kernel_id": "307307"}, {"ref": "dmi3kno/tidy-probr", "kernel_id": "305532"}, {"ref": "dmi3kno/validating-martinelli-s-claim-negative-lb-cor", "kernel_id": "305579"}, {"ref": "dmi3kno/glm-on-vtreat-cv-0-5541", "kernel_id": "272603"}, {"ref": "fernandoramacciotti/random-forest-wip", "kernel_id": "274503"}, {"ref": "fernandoramacciotti/notebooka90fa7956c", "kernel_id": "272932"}, {"ref": "fernandoramacciotti/wip-teste", "kernel_id": "277027"}, {"ref": "fernandoramacciotti/regression-cluster-dummies", "kernel_id": "280006"}, {"ref": "ipsitp/notebooka3ce8b63d4", "kernel_id": "272063"}, {"ref": "hardikmeisheri/notebook2f9551f186", "kernel_id": "273431"}, {"ref": "lescientifik/cv-gbm-rf-ridge-lb-0-546-0-554", "kernel_id": "295882"}, {"ref": "lescientifik/upd-mixed-models-2-var-lb-0-557-0-558", "kernel_id": "302580"}, {"ref": "buinyi/notebook3ca20aafec", "kernel_id": "273736"}, {"ref": "towhid1/using-lr-svm-nb-bagging", "kernel_id": "276447"}, {"ref": "towhid1/ok-its-private-now", "kernel_id": "288937"}, {"ref": "raddar/id-is-not-shuffled-potential-id-leak", "kernel_id": "274162"}, {"ref": "raddar/raddar-extratrees", "kernel_id": "307679"}, {"ref": "dumbris/mercedez-baseline-2", "kernel_id": "274077"}, {"ref": "fpajot/notebook-1", "kernel_id": "278103"}, {"ref": "qqgeogor/some-feature-engineering", "kernel_id": "282016"}, {"ref": "liampetti/genetic-algorithm-for-parameterisation", "kernel_id": "303496"}, {"ref": "liampetti/deep-neural-network-using-tensorflow", "kernel_id": "300969"}, {"ref": "tunguz/naive-xgb-in-r-with-dropped-duplicate-features", "kernel_id": "283560"}, {"ref": "tunguz/xgb-starter-lb-0-55648", "kernel_id": "272829"}, {"ref": "tunguz/starter-xgboost-3", "kernel_id": "272564"}, {"ref": "tunguz/starter-xgboost-4", "kernel_id": "273270"}, {"ref": "rahulvks/ridge-regression-benz", "kernel_id": "273305"}, {"ref": "millerintllc/baseline-cv-investigation", "kernel_id": "279931"}, {"ref": "millerintllc/baseline", "kernel_id": "279820"}, {"ref": "ramzes2/test-keras", "kernel_id": "282426"}, {"ref": "madhurmd/new-range", "kernel_id": "279919"}, {"ref": "msp48731/analysis-of-clusters-and-outliers", "kernel_id": "287366"}, {"ref": "msp48731/biased-predictions-how-to-deal-with-them", "kernel_id": "282103"}, {"ref": "msp48731/neural-net-regression-with-keras", "kernel_id": "273689"}, {"ref": "msp48731/feature-engineering-and-visualization", "kernel_id": "276259"}, {"ref": "sultf2/mercedes-with-tensorflow-0-3", "kernel_id": "288503"}, {"ref": "remidi/dimensionality-reduction-techniques", "kernel_id": "292519"}, {"ref": "remidi/neural-compression-auto-encoder-lb-0-55", "kernel_id": "300633"}, {"ref": "remidi/sherlocks-exploration-season-02-e01-numerical", "kernel_id": "287844"}, {"ref": "remidi/sherlock-s-exploration-season-01-categorical", "kernel_id": "285812"}, {"ref": "nickycan/baseline", "kernel_id": "280750"}, {"ref": "nickycan/the-guy-who-can-predict-the-outlier-win", "kernel_id": "282871"}, {"ref": "nickycan/some-hints-might-help-us-find-the-big-y", "kernel_id": "284016"}, {"ref": "nickycan/remove-some-useless-to-speed-you-up", "kernel_id": "272826"}, {"ref": "puhoshville/mercedes-eda-xgboost-starter-0-55", "kernel_id": "271645"}, {"ref": "pointer/baselane-lb-0-566", "kernel_id": "280931"}, {"ref": "bytestorm/stacked-then-averaged-models-0-5697", "kernel_id": "293425"}, {"ref": "jaybob20/mod-xgboost", "kernel_id": "273097"}, {"ref": "jaybob20/starter-xgboost", "kernel_id": "272594"}, {"ref": "nithinjames/remove-identical-features", "kernel_id": "274241"}, {"ref": "nithinjames/base-line-model-xgboost-with-earlystopping", "kernel_id": "274116"}, {"ref": "ug2409/notebook459f43649c", "kernel_id": "276732"}, {"ref": "ug2409/notebook9d85e31a70", "kernel_id": "276576"}, {"ref": "ug2409/a-strategy-for-feature-engine", "kernel_id": "278851"}, {"ref": "brandao/pegando-novas-features", "kernel_id": "279031"}, {"ref": "brandao/salvando-novos-dados", "kernel_id": "277284"}, {"ref": "omarito/gridsearchcv-xgbregressor-0-556-lb", "kernel_id": "277301"}, {"ref": "omarito/xgboost-handling-duplicates-outliers", "kernel_id": "279145"}, {"ref": "omarito/xgboost-bayesianoptimization", "kernel_id": "282689"}, {"ref": "harishrvt/harish-eda-v0-1", "kernel_id": "273002"}, {"ref": "apsivakumar/simple-data-exploration", "kernel_id": "304650"}, {"ref": "rspadim/what-outlier-to-choose", "kernel_id": "279372"}, {"ref": "rspadim/adversarial-validation-mercedes-benz", "kernel_id": "410985"}, {"ref": "msjensen/trying-out-parameter-tuning", "kernel_id": "274695"}, {"ref": "nikhil2008v/xgboost-sklearn-test", "kernel_id": "275942"}, {"ref": "evgeniymalishev/xgboost-first-copy-script", "kernel_id": "279471"}, {"ref": "evgeniymalishev/baseline", "kernel_id": "280395"}, {"ref": "datahogger/notebook0a4488fef4", "kernel_id": "279598"}, {"ref": "ogrellier/public-vs-private-lb-inspired-by-p-marinelli", "kernel_id": "305978"}, {"ref": "kirillal/mb-xgb-keras", "kernel_id": "277857"}, {"ref": "anokas/mercedes-eda-xgboost-starter-0-55", "kernel_id": "271516"}, {"ref": "anokas/fork-of-mercedes-eda-xgboost-starter-0-55", "kernel_id": "271604"}, {"ref": "victorserpa/baselines-to-start-with-lb-0-56", "kernel_id": "280029"}, {"ref": "peterthiem/pretty-image-plot-of-x10-to-x385", "kernel_id": "306505"}, {"ref": "vsesham/cut-the-time", "kernel_id": "283312"}, {"ref": "nuclear/remove-correlated-features", "kernel_id": "273363"}, {"ref": "gemartin/eda-gradient-boosting-regression", "kernel_id": "287991"}, {"ref": "gayathrydasika/xgb-regressor-basic", "kernel_id": "294429"}, {"ref": "czlowiekrakieta/hunting-outliers", "kernel_id": "290602"}, {"ref": "czlowiekrakieta/feature-selection-pca-pipeline-cv-58", "kernel_id": "287032"}, {"ref": "nikyvenza/notebook2b696ca263", "kernel_id": "273119"}, {"ref": "zpbappi/notebookbfa25774a3", "kernel_id": "278355"}, {"ref": "taeheekim/notebook9346624624", "kernel_id": "272231"}, {"ref": "taeheekim/tensorflow-practics", "kernel_id": "276728"}, {"ref": "taeheekim/notebook00103f613b", "kernel_id": "277388"}, {"ref": "taeheekim/data-exploration-and-xgboost-model-r", "kernel_id": "273057"}, {"ref": "paulorzp/one-line-solution-in-python-lb-0-55453", "kernel_id": "303823"}, {"ref": "paulorzp/mercedez-baseline", "kernel_id": "276284"}, {"ref": "tomlamphier/mercedes-benz-reduce-dimensionality-ii", "kernel_id": "308247"}, {"ref": "tomlamphier/mercedes-benz-competition-reduce-dimensionality", "kernel_id": "307961"}, {"ref": "tomlamphier/mercedes-benz-competition", "kernel_id": "299977"}, {"ref": "umeshsati/randomforest-with-lb-0-55240", "kernel_id": "301703"}, {"ref": "charleslt/mercedez-baseline-ra", "kernel_id": "275539"}, {"ref": "tilii7/sparse-matrix-svr-bayesian-optimization", "kernel_id": "271769"}, {"ref": "tilii7/four-blob-tsne-with-legal-supplements", "kernel_id": "302039"}, {"ref": "tilii7/you-want-outliers-we-got-them-outliers", "kernel_id": "301349"}, {"ref": "tilii7/how-low-can-you-go-feature-elimination", "kernel_id": "285181"}, {"ref": "jdcation/notebook9164fa5ff1", "kernel_id": "280081"}, {"ref": "jihyeseo/benz-eda-387x-regression-eda", "kernel_id": "957078"}, {"ref": "jollyhrothgar/notebookb2b1c0ac91", "kernel_id": "273722"}, {"ref": "shezan1437/exploration-and-regression", "kernel_id": "273478"}, {"ref": "shezan1437/mercedez-baseline-2", "kernel_id": "274177"}, {"ref": "ericlikedata/reconstruct-error-of-pca", "kernel_id": "305161"}, {"ref": "ravindarmadishetty/mercidez-benz", "kernel_id": "291898"}, {"ref": "ravindarmadishetty/benz-mercidez-pca-with-decision-trees", "kernel_id": "291914"}, {"ref": "ravindarmadishetty/pcabenz", "kernel_id": "291919"}, {"ref": "tinkudhull/feature-engineering-and-visualization", "kernel_id": "280534"}, {"ref": "tinkudhull/feature-engineering-visualisation", "kernel_id": "280541"}, {"ref": "umbertogriffo/deep-learning", "kernel_id": "275800"}, {"ref": "rahimi/xgboost-starter", "kernel_id": "278161"}, {"ref": "rahimi/baseline", "kernel_id": "279902"}, {"ref": "dashabhisek/eda-for-mercedes", "kernel_id": "275408"}, {"ref": "dashabhisek/notebook6f8d211c8a", "kernel_id": "275420"}, {"ref": "kanishkapsingh/pca-and-gbm", "kernel_id": "279020"}, {"ref": "kanishkapsingh/pca-gbm", "kernel_id": "279023"}, {"ref": "kanishkapsingh/pca-for-dimensionality-reduction", "kernel_id": "278104"}, {"ref": "uluumy/notebooke1ef14059c", "kernel_id": "277217"}, {"ref": "uluumy/mercedez-baseline-2", "kernel_id": "273864"}, {"ref": "vrishank97/a-strategy-for-feature-engine", "kernel_id": "280716"}, {"ref": "vrishank97/lightgbm-lb-0-56", "kernel_id": "281337"}, {"ref": "rksriram312/easy-feature-selection-pipeline-0-55-at-lb", "kernel_id": "272353"}, {"ref": "rksriram312/simple-linear-regression", "kernel_id": "271537"}, {"ref": "rksriram312/starter-xgboost", "kernel_id": "272551"}, {"ref": "sriram2093/predicting-the-estimated-time", "kernel_id": "272525"}, {"ref": "mgfischer/mercedes-submission", "kernel_id": "276309"}, {"ref": "mgfischer/notebook793c577786", "kernel_id": "276312"}, {"ref": "x22shao/xgb-starter-lb-0-55648", "kernel_id": "272912"}, {"ref": "dukasguo/benz-xgboost", "kernel_id": "274316"}, {"ref": "dukasguo/xgboost-hh", "kernel_id": "273537"}, {"ref": "ezyyyy/untuned-xgb-lb-0-54555", "kernel_id": "271605"}, {"ref": "mingruimingrui/top-3-hakeem-s-script-without-outlier-y-250", "kernel_id": "307600"}, {"ref": "ecratos/simplest-linear-regression-score-0-51", "kernel_id": "392386"}, {"ref": "oysteijo/pca-and-t-sne", "kernel_id": "271733"}, {"ref": "idelpivnitskiy/run-script", "kernel_id": "274219"}, {"ref": "adityakumarsinha/stacked-then-averaged-models-private-lb-0-554", "kernel_id": "304434"}, {"ref": "hiteshp/notebook1a0bf768e5", "kernel_id": "272314"}, {"ref": "er9213/try-1500-baselines-to-start-with-lb-0-56", "kernel_id": "275937"}, {"ref": "aka7hs/glmnet-ridge-lb-0-52", "kernel_id": "276238"}, {"ref": "aka7hs/bias-variance-trade-off-private-0-54490", "kernel_id": "307853"}, {"ref": "juanm12i/notebook64461b08c2", "kernel_id": "276117"}, {"ref": "juanm12i/first-attempt", "kernel_id": "276118"}, {"ref": "nverma22/notebook9ef73a0336", "kernel_id": "273155"}, {"ref": "muthusengolan/notebook0c0d854b2b", "kernel_id": "271944"}, {"ref": "muthusengolan/notebookca2ec72453", "kernel_id": "277991"}, {"ref": "muthusengolan/notebooke2d493f0e9", "kernel_id": "277891"}, {"ref": "joelkoppe/nobrainer-baseline-lb-0-55", "kernel_id": "273332"}, {"ref": "manickmehra/notebook344cda7218", "kernel_id": "277369"}, {"ref": "venheads/average-of-6-nn-models-best-result-56-2", "kernel_id": "278078"}, {"ref": "venheads/notebookbf1995b072", "kernel_id": "285834"}, {"ref": "daniel89/mercedes-cars-clustering", "kernel_id": "308776"}, {"ref": "gmaclenn/notebookdebb902b9c", "kernel_id": "272563"}, {"ref": "aditya1702/mercedes-model-building-lb-0-53", "kernel_id": "279387"}, {"ref": "aditya1702/mercedes-benz-data-exploration", "kernel_id": "275705"}, {"ref": "deepchenna/baselines-to-start-with-lb-0-56", "kernel_id": "274284"}, {"ref": "davidfumo/xgb-starter-157", "kernel_id": "275580"}, {"ref": "davidfumo/xgb-baseline-lb-0-55859", "kernel_id": "275569"}, {"ref": "davidfumo/baseline-xgb", "kernel_id": "275533"}, {"ref": "jiashenliu/lb-0-57-stack-lgblasgbdt-and-average-with-xgb", "kernel_id": "304865"}, {"ref": "climbercarmich/data-exploration-and-xgboost-model-r", "kernel_id": "271707"}, {"ref": "kay2mj/simple-xgboost-code-for-benz", "kernel_id": "306606"}, {"ref": "frednavruzov/baselines-to-start-with-lb-0-56", "kernel_id": "273661"}, {"ref": "frednavruzov/baseline-to-start-with-keras-lb-0-55", "kernel_id": "275059"}, {"ref": "maniyar2jaimin/mercedes-eda-xgboost-starter-0-55-jaimin", "kernel_id": "272116"}, {"ref": "den3b81/mercedez-baseline-2", "kernel_id": "278914"}, {"ref": "den3b81/on-the-meaning-of-categorical-variables", "kernel_id": "278922"}, {"ref": "den3b81/elasticnet-lb-0-547-and-feature-importance", "kernel_id": "276751"}, {"ref": "den3b81/notebookf1eed5dbdf", "kernel_id": "276713"}, {"ref": "den3b81/2d-visualization-pca-ica-vs-autoencoders", "kernel_id": "293721"}, {"ref": "amlacorp/benz-data-exploration", "kernel_id": "273720"}, {"ref": "ash316/simple-data-analysis-mercedes", "kernel_id": "271579"}, {"ref": "robertoruiz/my-frustrated-approach", "kernel_id": "301763"}, {"ref": "robertoruiz/the-only-ones", "kernel_id": "303056"}, {"ref": "robertoruiz/a-magic-feature", "kernel_id": "276695"}, {"ref": "robertoruiz/xgb-starter-lb-0-55648", "kernel_id": "272791"}, {"ref": "anuragupadhyaya/mercedez-baseline-2", "kernel_id": "275961"}, {"ref": "anuragupadhyaya/mercedez-baseline-3", "kernel_id": "279677"}, {"ref": "ritujpatel/notebook450f08586c", "kernel_id": "279112"}, {"ref": "smbabapour/ooops", "kernel_id": "275281"}, {"ref": "tnarik/likelihood-encoding-of-categorical-features", "kernel_id": "311358"}, {"ref": "tnarik/duplicates", "kernel_id": "294997"}, {"ref": "tnarik/no-probed-values-fork-of-a-lb-0-57", "kernel_id": "305277"}, {"ref": "francescodesimone/tf-keras-first-attempt", "kernel_id": "273447"}, {"ref": "francescodesimone/first-look-into-data", "kernel_id": "271706"}, {"ref": "enerygames/xgboost-tryout", "kernel_id": "272195"}, {"ref": "enerygames/starter-xgboost", "kernel_id": "273060"}, {"ref": "stansilas/r-vs-car", "kernel_id": "271758"}, {"ref": "engant/mini-exploraration-of-mercedes-benz-data", "kernel_id": "298683"}, {"ref": "amachwe/test1-py", "kernel_id": "273536"}, {"ref": "demesgal/stacked-then-averaged-models2", "kernel_id": "300433"}, {"ref": "demesgal/deep-learning-main", "kernel_id": "302127"}, {"ref": "demesgal/stack-xgb-with-skl", "kernel_id": "285099"}, {"ref": "demesgal/deep-learning-0-55326-for-now", "kernel_id": "280471"}, {"ref": "nicolaspresta/mercedez-baseline-2", "kernel_id": "277235"}, {"ref": "wmariusso/a-simple-model-x0-only-cv-0-57180-lb-0-54825", "kernel_id": "288123"}, {"ref": "kanishkapsingh2/using-xgboost", "kernel_id": "277803"}, {"ref": "kanishkapsingh2/attempt", "kernel_id": "274777"}, {"ref": "astatus/notebook04801bf7e7", "kernel_id": "274920"}, {"ref": "astatus/notebooka8d250eaa7", "kernel_id": "273376"}, {"ref": "astatus/notebook59127a55d1", "kernel_id": "277303"}, {"ref": "astatus/notebookef979c6bc1", "kernel_id": "277412"}, {"ref": "astatus/test-xgb", "kernel_id": "277441"}, {"ref": "dsmathon/mercedes-regularized-regression-tests", "kernel_id": "278598"}, {"ref": "dsmathon/mercedes-first-look", "kernel_id": "276010"}, {"ref": "dsmathon/mercedes-pca-tests", "kernel_id": "279516"}, {"ref": "saeedt2977/mercedes-eda-xgboost-starter-0-55", "kernel_id": "272579"}, {"ref": "saeedt2977/first-xgboost", "kernel_id": "272620"}, {"ref": "saeedt2977/mercedez-baseline-2", "kernel_id": "274663"}, {"ref": "patett/simple-exploration-notebook-mercedes", "kernel_id": "273450"}, {"ref": "patett/mercedas-update2-intrinsic-noise", "kernel_id": "284960"}, {"ref": "monsterspy/basic-eda-steps-xgboost", "kernel_id": "279761"}, {"ref": "kocchumon/notebook228de14d70", "kernel_id": "276462"}, {"ref": "darrellulm/feature-elimination-another-test-run", "kernel_id": "285406"}, {"ref": "supratikdatta/remove-some-useless-to-speed-you-up", "kernel_id": "272937"}, {"ref": "cyb70289/60th-solution-private-lb-0-55302", "kernel_id": "308781"}, {"ref": "rupeshwadibhasme/lb-0-578-upgraded-from-stack-lgblasgbdt-kernal", "kernel_id": "306171"}, {"ref": "daqixu/notebook484b79a4e6", "kernel_id": "278082"}, {"ref": "maimiqin/xgb-s", "kernel_id": "272924"}, {"ref": "abdoa2/initial-model-with-all-variables", "kernel_id": "287527"}, {"ref": "lesibius/getting-started", "kernel_id": "272112"}, {"ref": "lesibius/notebook43052b3a6b", "kernel_id": "272101"}, {"ref": "indianotaku/basic-randomforest", "kernel_id": "276224"}, {"ref": "mputra/first-competition-submission-55343", "kernel_id": "283744"}, {"ref": "yoongkang0122/notebookbb59a18292", "kernel_id": "272899"}, {"ref": "yoongkang0122/notebook95591a6fc5", "kernel_id": "272901"}, {"ref": "dspider/benzi-mercedes", "kernel_id": "272336"}, {"ref": "dspider/phoenixbenz", "kernel_id": "287802"}, {"ref": "dspider/my-benzi-notebook", "kernel_id": "283187"}, {"ref": "neilslab/neural-model-output-probabilities-lb-0-5395", "kernel_id": "301099"}, {"ref": "yerne39/xgboost", "kernel_id": "276955"}, {"ref": "siriuscorp/mercedes-try-2", "kernel_id": "277123"}, {"ref": "siriuscorp/using-dummies", "kernel_id": "274533"}, {"ref": "siriuscorp/another-script", "kernel_id": "279837"}, {"ref": "jianil726/mercedez-baseline-2", "kernel_id": "276329"}, {"ref": "viv696/xgboost-handling-duplicates-outliers", "kernel_id": "289624"}, {"ref": "viv696/baseline", "kernel_id": "279771"}, {"ref": "viv696/mercedez-baseline-3", "kernel_id": "279757"}, {"ref": "linux18/baseline", "kernel_id": "280651"}, {"ref": "linux18/kernel-0-5686", "kernel_id": "282153"}, {"ref": "jmbull/simple-r-caret-gbm-551x-lb", "kernel_id": "281843"}, {"ref": "asindico/striving-for-0-5", "kernel_id": "303840"}, {"ref": "sociopath00/by-ridge", "kernel_id": "293136"}, {"ref": "noumanriazkhan/base-for-pca-and-linear-regression", "kernel_id": "275159"}, {"ref": "timip8/notebook23d0fba469", "kernel_id": "273279"}, {"ref": "timip8/really-simple-linear-regression-starter", "kernel_id": "272566"}, {"ref": "venkateshwarj/baselines-to-start-with-lb-0-56", "kernel_id": "274412"}, {"ref": "tinhb92/testtttttttt", "kernel_id": "277373"}, {"ref": "maheshak04/stacked-then-averaged-models", "kernel_id": "301612"}, {"ref": "kapiltrip/base-model", "kernel_id": "277353"}, {"ref": "sheriytm/feature-based-starter-tpot-lb0-559", "kernel_id": "299872"}, {"ref": "yzelenkov/may-be-yet-another-insight-about-data", "kernel_id": "305489"}, {"ref": "pravink/simple-linear-regression-using-tensorflow", "kernel_id": "296975"}, {"ref": "aymenmouelhi/simple-exploration-notebook-mercedes", "kernel_id": "273153"}, {"ref": "schmitzi/lightgbm-starter", "kernel_id": "283957"}, {"ref": "yohanb/t-sne-visual-3-clusters", "kernel_id": "291283"}, {"ref": "yohanb/some-art-from-isomap", "kernel_id": "306855"}, {"ref": "yohanb/categorical-features-encoding-xgb-0-554", "kernel_id": "286415"}, {"ref": "lukaszs/i-wanna-a-benz", "kernel_id": "278969"}, {"ref": "lukaszs/notebookb6da21eff6", "kernel_id": "274512"}, {"ref": "plarmuseau/ridiculous-winning-solution", "kernel_id": "308535"}, {"ref": "plarmuseau/variance-analysis-ii", "kernel_id": "298021"}, {"ref": "plarmuseau/linear-programming-solution", "kernel_id": "295885"}, {"ref": "plarmuseau/auc-time-gained", "kernel_id": "294396"}, {"ref": "plarmuseau/regress-xgb-outliers", "kernel_id": "283927"}, {"ref": "plarmuseau/better-regression-techniques", "kernel_id": "283512"}, {"ref": "plarmuseau/benz-ols-a-oneline-model-0-55", "kernel_id": "281442"}, {"ref": "plarmuseau/visualizing-the-id-trend", "kernel_id": "288772"}, {"ref": "plarmuseau/timevariation-is-like-random-noise", "kernel_id": "285586"}, {"ref": "plarmuseau/notebook71620a125f", "kernel_id": "280026"}, {"ref": "plarmuseau/benz-clusters", "kernel_id": "280035"}, {"ref": "plarmuseau/clustering", "kernel_id": "279992"}, {"ref": "plarmuseau/deep-learning-0-55326-for-now", "kernel_id": "279592"}, {"ref": "plarmuseau/mercedes-narrowing-error", "kernel_id": "316286"}, {"ref": "plarmuseau/crawling-in-the-data", "kernel_id": "272198"}, {"ref": "plarmuseau/higher-r2-lower-lb", "kernel_id": "275109"}, {"ref": "plarmuseau/are-we-creating-an-autocorrelation-effect", "kernel_id": "273269"}, {"ref": "plarmuseau/another-kernel", "kernel_id": "273761"}, {"ref": "plarmuseau/duplicate-train-test", "kernel_id": "279018"}, {"ref": "plarmuseau/mercedez-baseline-vork", "kernel_id": "278514"}, {"ref": "alikgor/notebooke00233e010", "kernel_id": "274298"}, {"ref": "pedrolcn/notebook1c7ba34a54", "kernel_id": "272631"}, {"ref": "pedrolcn/first-look-at-data-and-initial-submission", "kernel_id": "272632"}, {"ref": "pedrolcn/tf-neural-network-pre-processing-and-k-fold-cv", "kernel_id": "273725"}, {"ref": "serart/simple-exploration-notebook", "kernel_id": "272251"}, {"ref": "serart/baselines-to-start-with-lb-0-56", "kernel_id": "284922"}, {"ref": "serart/fork-of-baselines-to-start-with", "kernel_id": "285061"}, {"ref": "serart/ensemble-kernel", "kernel_id": "285095"}, {"ref": "muonneutrino/mercedes-benz-analysis-using-keras", "kernel_id": "290794"}, {"ref": "akumar6/deep-learning-mbz2", "kernel_id": "279824"}, {"ref": "sridar1803/notebook339aabe66c", "kernel_id": "274580"}, {"ref": "sudhirnl7/linear-regression-benz", "kernel_id": "509911"}, {"ref": "deepspacelearning/autoencoder-for-dimensionality-reduction", "kernel_id": "287519"}, {"ref": "nikitabu/mercedez-baseline-2", "kernel_id": "274747"}, {"ref": "jcuypers/finding-structure-in-binary-patterns", "kernel_id": "288814"}, {"ref": "jcuypers/determining-ideal-number-of-pca-components", "kernel_id": "289381"}, {"ref": "eikedehling/keras-nn-scaling-feature-selection-0-548", "kernel_id": "286890"}, {"ref": "eikedehling/trying-out-stacking-approaches", "kernel_id": "281344"}, {"ref": "eikedehling/stack-of-svm-elasticnet-xgboost-rf-0-55", "kernel_id": "277172"}, {"ref": "eikedehling/pipeline-of-scaling-pca-svm-with-tuning", "kernel_id": "276229"}, {"ref": "eikedehling/extra-trees-tuning", "kernel_id": "277957"}, {"ref": "eikedehling/random-forest-tuning-0-55-lb", "kernel_id": "277536"}, {"ref": "neelneelpurk/notebook7b694aed9d", "kernel_id": "275375"}, {"ref": "vijayasekaran/notebookbc7292e989", "kernel_id": "277921"}, {"ref": "robinhoo1973/notebookf18ae5b5a8", "kernel_id": "294843"}, {"ref": "robinhoo1973/how-to-check-out-cis-of-y-values-sample-script", "kernel_id": "294771"}, {"ref": "hirofuji/naive-xgb", "kernel_id": "271643"}, {"ref": "bk0000/gradientboosting-with-feature-importances", "kernel_id": "290291"}, {"ref": "rhajou/simple-exploration-notebook-mercedes", "kernel_id": "273235"}, {"ref": "dipanshuagarwal/notebookce5f546c4a", "kernel_id": "273136"}, {"ref": "slavazhu/mercedez-baseline-2", "kernel_id": "274824"}, {"ref": "lhggxr/mercedes-pca-tests", "kernel_id": "279720"}, {"ref": "lhggxr/a-strategy-for-feature-engine", "kernel_id": "279233"}, {"ref": "eriknilsson/notebook2dc8cc263b", "kernel_id": "272754"}, {"ref": "benkite/comparing-models", "kernel_id": "291551"}, {"ref": "benkite/influence-of-regressor-parameters", "kernel_id": "299875"}, {"ref": "walsen/data-exploration-and-xgboost-model-r", "kernel_id": "482492"}, {"ref": "eaturner/stacking-em-up", "kernel_id": "298119"}, {"ref": "amarpathak/deep-learning-0-55326-for-now", "kernel_id": "280883"}, {"ref": "mengoldschool/mercedes-benz-greener-manufacturing", "kernel_id": "278704"}, {"ref": "boypy2/xgb-starter-lb-0-55648", "kernel_id": "272813"}, {"ref": "dataharg/getting-started", "kernel_id": "273248"}, {"ref": "headsortails/mercedas-update2-intrinsic-noise", "kernel_id": "273800"}, {"ref": "headsortails/mercedas-2-feature-interactions", "kernel_id": "292261"}, {"ref": "rikith/first-notebook", "kernel_id": "273491"}, {"ref": "xbldev/my-kernel-for-mbgm-competition", "kernel_id": "280238"}, {"ref": "akostajti/stacking-with-light-feature-engineering-0-5579", "kernel_id": "296291"}, {"ref": "gotthem/xgboost-handling-duplicates-outliers", "kernel_id": "279206"}, {"ref": "gotthem/feature-engineering-and-visualization", "kernel_id": "279203"}, {"ref": "pliptor/further-evidence-id-sorts-features-in-this-dataset", "kernel_id": "315573"}, {"ref": "w625009392/baselane-lb-0-566", "kernel_id": "280393"}, {"ref": "zhimochen/benz-test-prediction", "kernel_id": "293336"}, {"ref": "zhimochen/benz-prediction", "kernel_id": "295589"}, {"ref": "nhbalov/a-simple-penalized-regression-model", "kernel_id": "271553"}, {"ref": "huangfuzd/how-to-cross-validate-properly", "kernel_id": "300966"}, {"ref": "huangfuzd/stack-of-svm-elasticnet-xgboost-rf-0-55", "kernel_id": "306020"}, {"ref": "kevinliu1111/simple-exploration-notebook-mercedes", "kernel_id": "272799"}, {"ref": "kapilnandwana/starter-xgboost", "kernel_id": "272541"}, {"ref": "kapilnandwana/starter-lightlgbm", "kernel_id": "272559"}, {"ref": "bettytong/benztesting", "kernel_id": "279949"}, {"ref": "nitishsingh41/cdjadfjsadjf1", "kernel_id": "273349"}, {"ref": "nitishsingh41/notebook5fe05045f1", "kernel_id": "273307"}, {"ref": "nitishsingh41/baselines-to-start-with-lb-0-56", "kernel_id": "274057"}, {"ref": "xcz011/mercedez", "kernel_id": "276944"}, {"ref": "pcjimmmy/simple-exploration-notebook-mercedes", "kernel_id": "279063"}, {"ref": "pcjimmmy/50-years-in-quality-x10-to-x385-what-they-mean", "kernel_id": "279953"}, {"ref": "kohtpojiep/baselines-to-start-with-lb-0-56-pineapple", "kernel_id": "287863"}, {"ref": "merckel/preliminary-investigation-pca-boosting", "kernel_id": "299677"}, {"ref": "merckel/greedy-selection-boosting-4-feat-0-55-lb", "kernel_id": "299687"}, {"ref": "merckel/a-complete-solution-in-10-lines-of-code", "kernel_id": "302014"}, {"ref": "anirudhk/umzkmlma-abiks", "kernel_id": "279180"}, {"ref": "anirudhk/firstdemo", "kernel_id": "279136"}, {"ref": "anirudhk/h3bqljb2ej-ww3", "kernel_id": "279034"}, {"ref": "anirudhk/wehejgwhjbvmjhbkj", "kernel_id": "278190"}, {"ref": "anirudhk/mercedezeqhbeqlqke2q", "kernel_id": "278018"}, {"ref": "anirudhk/wqwdqwdq", "kernel_id": "278128"}, {"ref": "anirudhk/baselines-to-start-with-lb-0-56-0881fa", "kernel_id": "275504"}, {"ref": "anirudhk/xgb-baseline-lb-0-55859", "kernel_id": "275603"}, {"ref": "anirudhk/notebook0754bf0c48", "kernel_id": "274674"}, {"ref": "anirudhk/v2jhb12klksjvgeh2jvd3k12ghw", "kernel_id": "279773"}, {"ref": "anirudhk/enbwqmd-fsdjkad", "kernel_id": "279977"}, {"ref": "anirudhk/umzkmlma-abik", "kernel_id": "279188"}, {"ref": "elcorso/notebook69b94f3414", "kernel_id": "273207"}, {"ref": "lukasvotypka/notebookd94637961d", "kernel_id": "273199"}, {"ref": "ashoknarapasetty/solving-benz-using-decision-tree", "kernel_id": "300708"}, {"ref": "farzanabeenteyusuf/marcedes-test-time-reduction", "kernel_id": "272746"}, {"ref": "farzanabeenteyusuf/simple-linear-regression-marcedes", "kernel_id": "272679"}, {"ref": "zalecisco/baselines", "kernel_id": "273808"}, {"ref": "zalecisco/starter-xgboostt", "kernel_id": "273209"}, {"ref": "zalecisco/mercedez-baseline-2", "kernel_id": "274794"}, {"ref": "girishvv/notebookca8a5c4b99", "kernel_id": "274187"}, {"ref": "girishvv/notebookb85fb93338", "kernel_id": "274189"}, {"ref": "lifehackman/mercedes-eda-xgboost-starter-0-55", "kernel_id": "272700"}, {"ref": "lopesm/categorical-features-encoding-xgb-0-554", "kernel_id": "294804"}, {"ref": "nihakanala/my-first-project", "kernel_id": "280207"}, {"ref": "lokeshchandra/xgb-starter-lb-0-55648", "kernel_id": "272878"}, {"ref": "lokeshchandra/mercedes-2", "kernel_id": "272857"}, {"ref": "lokeshchandra/mercedes-3", "kernel_id": "272886"}, {"ref": "lokeshchandra/mercedes", "kernel_id": "272615"}, {"ref": "davidjmachado/brief-examination-of-data", "kernel_id": "279153"}, {"ref": "amavuduru/assessing-feature-importance-0-559-lb", "kernel_id": "301201"}, {"ref": "scottchristensen/simple-exploration-notebook-mercedes", "kernel_id": "272543"}, {"ref": "huuuuu/notebook7f748c4fc2", "kernel_id": "274816"}, {"ref": "huuuuu/notebook4c385db087", "kernel_id": "274800"}, {"ref": "kylesoskin/kss-run", "kernel_id": "271784"}, {"ref": "ckaz02/first-test", "kernel_id": "272383"}, {"ref": "ckaz02/mercedez-keras", "kernel_id": "277061"}, {"ref": "ckaz02/mercedez-baseline-2", "kernel_id": "274568"}, {"ref": "knusperkeks/deep-learning-0-55326-for-now", "kernel_id": "278844"}, {"ref": "avsanjay/all-possible-rows-and-all-possible-columns", "kernel_id": "308902"}, {"ref": "dellimxx/tf-neural-network-pre-processing-and-k-fold-cv", "kernel_id": "482251"}, {"ref": "bambino0/basic-eda-steps-xgboost", "kernel_id": "279948"}, {"ref": "bambino0/mercedez-baseline-2", "kernel_id": "280535"}, {"ref": "nookasaikrishna/benz-predictions", "kernel_id": "307581"}, {"ref": "jairsan/first-approach-with-knnregressor", "kernel_id": "287222"}, {"ref": "apiyush/visualizing-categories", "kernel_id": "289890"}, {"ref": "yangtao007/simple-exploration-notebook-mercedes-842d86", "kernel_id": "294789"}, {"ref": "lucifer19/mercedes-benz-greener-manufacturing", "kernel_id": "361797"}, {"ref": "biswaranjan/mercedas-2-feature-interactions", "kernel_id": "304463"}, {"ref": "asraful70/marcedes-benz-greener-with-xgb", "kernel_id": "841533"}, {"ref": "vipul92/mercedes-xgboost", "kernel_id": "947295"}, {"ref": "rusakovps/mercedes-test", "kernel_id": "1884498"}, {"ref": "plarmuseau/finding-robust-data", "kernel_id": "1199901"}, {"ref": "cican17/mercedes-benz-first-try", "kernel_id": "1378754"}, {"ref": "deadskull7/78th-place-solution-top-2-private-lb-0-55282", "kernel_id": "1322008"}, {"ref": "deadskull7/78th-place-solution-private-lb-0-55282-top-2", "kernel_id": "1248260"}, {"ref": "akhilesh4444/benz-competition-feature-encoded-and-xgboost", "kernel_id": "1896502"}, {"ref": "jainvipul/random-forest-output", "kernel_id": "2973510"}, {"ref": "arielszabo/how-to-use-bayesian-optimization", "kernel_id": "3953740"}, {"ref": "gregyb/mercedes-benz-greener-manufacturing-gb", "kernel_id": "3526040"}, {"ref": "krishnaravi17/personal-case-study", "kernel_id": "3993618"}, {"ref": "guarouba/mercedes-benz", "kernel_id": "3477320"}, {"ref": "sharmamanali/mercedes-benz-greener-manufacturing", "kernel_id": "3981999"}, {"ref": "junheo/mercedes-benz-greener-manufacturing-catboost", "kernel_id": "3190502"}, {"ref": "theophilebu/mercedes-125746", "kernel_id": "3388269"}, {"ref": "wakamezake/leaderboardproving", "kernel_id": "4455833"}, {"ref": "leesangju92/mercedes-benz", "kernel_id": "4981037"}, {"ref": "terminate9298/mercedez-benz", "kernel_id": "5051621"}, {"ref": "dcmmcc/mercedes", "kernel_id": "5917428"}, {"ref": "kulkarnivishwanath/mercedes-benz-green-manufacturing-eda-modelling", "kernel_id": "5737321"}, {"ref": "fangkun119/competition-mercedes-benz-greener-manufacturing", "kernel_id": "5159681"}, {"ref": "sushmabiswas/lift-the-curse-of-dimensionality-benz", "kernel_id": "5542598"}, {"ref": "parulpandey/automating-the-ml-workflow-with-h2o-automl", "kernel_id": "6013517"}, {"ref": "guidosalimbeni/regression-with-convolutional-neural-network-keras", "kernel_id": "6044961"}, {"ref": "devkhant24/mercedes-car-manufacturing", "kernel_id": "6889836"}, {"ref": "chun1182/mercedes-benz-greener-manufacturing-boost", "kernel_id": "7542086"}, {"ref": "stevegao91/simple-eda-model-privite-lb0-554", "kernel_id": "7796339"}, {"ref": "thallapavanreddy/kaggle-mercedes-dataset", "kernel_id": "7928244"}, {"ref": "jagannathrk/simple-exploration-notebook-mercedes", "kernel_id": "8327980"}, {"ref": "darwinwin/automating-the-ml-workflow-with-h2o-automl", "kernel_id": "8120995"}, {"ref": "wangqiyuan/automating-the-ml-workflow-with-h2o-automl", "kernel_id": "8142426"}, {"ref": "krithi07/fastai-lesson1-2-application", "kernel_id": "9335792"}, {"ref": "rohandeysarkar/mercedes-benz-eda-feature-engineering", "kernel_id": "9072938"}, {"ref": "kmt112/mercedes-benz-r-2-0-3-draft-1", "kernel_id": "9221854"}, {"ref": "pranavbh/pranav", "kernel_id": "9753728"}, {"ref": "vernondsouza123/cramervcorrandrandomforestregressor", "kernel_id": "9647540"}, {"ref": "sankeerthanreddy/eda-and-machine-learning-approach", "kernel_id": "10814254"}, {"ref": "sumeetsawant/mercedes-green-manuf-enseble-and-stacking-r2-0-544", "kernel_id": "10674980"}, {"ref": "dmkravtsov/9-mercedes-with-recursive-feature-elimination", "kernel_id": "10666238"}, {"ref": "siddheshsreedar/testing-time-prediction", "kernel_id": "10631055"}, {"ref": "tunguz/gpu-shap-values-with-mercedes-data", "kernel_id": "11813619"}, {"ref": "oseongchoi/postechai-studya", "kernel_id": "11587047"}, {"ref": "ninjapiggz/mb-greener-comp-presentation", "kernel_id": "11248178"}, {"ref": "dskagglemt/one-hot-encoding-basics", "kernel_id": "11543171"}, {"ref": "rahulpawade/regression", "kernel_id": "11637346"}, {"ref": "miracl16/eda-mercedes-benz-russian-version", "kernel_id": "11974984"}, {"ref": "lynnshin/notebook67f3b03e5e", "kernel_id": "11877419"}, {"ref": "sergeydor/notebookde77af893f", "kernel_id": "12156648"}, {"ref": "hiro1005/mercedes-benz-greener-manufacturing", "kernel_id": "12061780"}, {"ref": "erfansultan/handling-missing-values", "kernel_id": "13173201"}, {"ref": "catholpython/mbenz", "kernel_id": "13138145"}, {"ref": "jyotsnagamidi/mercedes-benz-with-xgboost-grid-search", "kernel_id": "13314238"}, {"ref": "podsyp/mercedes-benz-greener-manufacturing", "kernel_id": "14740270"}, {"ref": "ruiyap/mercedes-simple-eda-modeling", "kernel_id": "14060676"}, {"ref": "mt77pp/mljar-automl-mercedes-optimize-r2", "kernel_id": "15737924"}, {"ref": "shribhadgaonkar/mb-optimization", "kernel_id": "15654431"}, {"ref": "salehin321/mercedez-bench-data-feature-engineering", "kernel_id": "15944583"}, {"ref": "gowtamsingulur/stacking-greener-benz", "kernel_id": "15847562"}, {"ref": "imamverdiyev25/2021-feb-mercedes-benz-greener-manufacturing", "kernel_id": "15515516"}, {"ref": "gtatiana/mercedes-benz-baseline", "kernel_id": "15450514"}, {"ref": "nitinguptadu0621/notebook55e3d31121", "kernel_id": "16000752"}, {"ref": "thejas112/mercedes-benz-greener-manufacturing-20210507-v5", "kernel_id": "16784810"}, {"ref": "chandanprasadholla/mercedes-benz-submission", "kernel_id": "16757066"}, {"ref": "santosh1974/mercedes-benz-submission", "kernel_id": "16497332"}, {"ref": "yujiyamamoto/google-s-facets-overview-simple", "kernel_id": "16295193"}, {"ref": "yujiyamamoto/mercedes-green-mfg-from-an-engineer-s-perspective", "kernel_id": "16525458"}, {"ref": "ivannasamudinova/eda-mercedes-benz-russian-version", "kernel_id": "16619274"}, {"ref": "mnthasi/mercedes-lightgbm-prediction-and-eda", "kernel_id": "17907179"}, {"ref": "alexkaggle95/mb-test-bed-time-reduction-0-55298-top-2", "kernel_id": "17028963"}, {"ref": "pandanup/mercedes-benz-greener-manufacturing", "kernel_id": "17087790"}, {"ref": "illiyakhitruk/calab2-mercedes-benz-russian-version", "kernel_id": "17369333"}, {"ref": "tarunsolanki/mercedes-benz-simple-eda", "kernel_id": "18846510"}, {"ref": "geochatz/mercedes-benz-prediction-with-tensorflow", "kernel_id": "21609576"}, {"ref": "eryash15/mercedes-eda-xgboost-testline", "kernel_id": "21905989"}, {"ref": "taranenkodaria/lama-mercedes-benz-predict", "kernel_id": "21105841"}, {"ref": "junhang/flamlautoml-stacking", "kernel_id": "21245794"}, {"ref": "feeeper/mercedes-benz-greener-manufacturing-automl", "kernel_id": "22885879"}, {"ref": "flafuji/mercedes-benz-eda-catboostregressor-prediction", "kernel_id": "22225272"}, {"ref": "flafuji/mercedes-benz-eda-catboostregressor", "kernel_id": "22149524"}, {"ref": "rus91adds/crossvalidation", "kernel_id": "24384410"}, {"ref": "rishabhkumar11081994/mercedes-benz-greener-manufacturing-late-submit", "kernel_id": "24087716"}, {"ref": "suchighurka/mercedes-benz-notebook-1", "kernel_id": "24519378"}, {"ref": "sakalyamitra/advanced-one-hot-encoding-detailed-step-by-step", "kernel_id": "25489100"}, {"ref": "pobedash/mercedes-benz-greener-manufacturing", "kernel_id": "26817571"}, {"ref": "emericzhang/benz-pycaret", "kernel_id": "26078319"}, {"ref": "haoyuchang/benz-math-o", "kernel_id": "26084521"}, {"ref": "leontrotsky/benz-albin", "kernel_id": "26277678"}, {"ref": "valentinkonarski/mercedes-benz", "kernel_id": "26044313"}, {"ref": "yannisbendris/mercedes-benz", "kernel_id": "26292712"}, {"ref": "ziyadhamdani/mercedes-hamdani-ziyad", "kernel_id": "26287312"}, {"ref": "clmentjacquemont/mercedes", "kernel_id": "26044421"}, {"ref": "tusharnautiyalweb/revision-categorical-variables-and-transformation", "kernel_id": "26319778"}, {"ref": "florinecao/benz-florine", "kernel_id": "26074170"}, {"ref": "jordane95/benz-jordane", "kernel_id": "26075618"}, {"ref": "benoityin/mercedes-benz", "kernel_id": "26105736"}, {"ref": "lorenzocen/notebook9ba841fa1d", "kernel_id": "26074995"}, {"ref": "alexishzl/mercedes-benz-greener-manufacturing", "kernel_id": "26153593"}, {"ref": "felixxiaozzz/benz-felix", "kernel_id": "26375309"}, {"ref": "maevaliu/mercedes-benz", "kernel_id": "26075482"}, {"ref": "dianexuli/benz-diane", "kernel_id": "26105288"}, {"ref": "lauraecpkn/benz-laura", "kernel_id": "26074298"}, {"ref": "qinpeichao/benz-pycaret-qinpeichao", "kernel_id": "26075483"}, {"ref": "robinzy2124121/benz-robin", "kernel_id": "26106947"}, {"ref": "gaetancao/benz-gaetan", "kernel_id": "26074078"}, {"ref": "bricezy/benz-rice", "kernel_id": "26239752"}, {"ref": "bryanyaoyi/benz-bryan", "kernel_id": "26206819"}, {"ref": "ilyazhang/benz-ilya", "kernel_id": "26107350"}, {"ref": "funxexcel/dimensionality-reduction-pca", "kernel_id": "28922530"}, {"ref": "funxexcel/p1-base-solution-regression", "kernel_id": "29307071"}, {"ref": "funxexcel/p1-base-solution-linear-regression-yt", "kernel_id": "29324669"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "navindwivedi/p1-base-solution-regression", "kernel_id": "29449925"}, {"ref": "nigani/notebook", "kernel_id": "30323730"}, {"ref": "ranjithkumarn/mercedes-benz-greener-manufacturing", "kernel_id": "30629345"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "babliwadhwa/p1-base-solution-linear-regression-yt", "kernel_id": "30675484"}, {"ref": "nidhi10mathur/p1-base-solution-linear-regression-yt", "kernel_id": "30675327"}, {"ref": "nirmalkondreddy/mercedes-benz-greener-manufacturing-using-xgboost", "kernel_id": "31913340"}, {"ref": "emphymachine/48-51-feature-engineering", "kernel_id": "32458985"}, {"ref": "nishurai/kia-mercedes-benz-ml-pjt", "kernel_id": "32552235"}, {"ref": "sukantsrivastava/p1-base-solution-linear-regression-yt-523482", "kernel_id": "32134966"}, {"ref": "fauzanmohammed/catboost-for-mercedes-dataset", "kernel_id": "33728001"}, {"ref": "joanpau/how-to-improve-vehicle-develop-w-data-science", "kernel_id": "33005596"}, {"ref": "inabower/2022023-mercedes-benz-lightgbm", "kernel_id": "35350673"}, {"ref": "vladislavonufrienko/edu-one-hot-regression-on-train-set", "kernel_id": "38847466"}, {"ref": "pareto80/mercedes-autogluon-stack-exercise", "kernel_id": "40697386"}, {"ref": "ndsds42/mercedes-time-predict-ridge-rfe", "kernel_id": "41336904"}, {"ref": "shineychandan/mercedes-benz-greener-manufacturing-using-xgb", "kernel_id": "42354129"}, {"ref": "saurabhru/mercedes-benz-greener-manufacturing", "kernel_id": "44954699"}, {"ref": "learnerscapital/handle-categorical-feature", "kernel_id": "44297247"}, {"ref": "arnabk123/using-deep-learning", "kernel_id": "45398801"}, {"ref": "medoox369/using-deep-learning", "kernel_id": "53519691"}, {"ref": "nikolaidjenontin/solution-linearregression", "kernel_id": "54511113"}, {"ref": "umarsajjad/towards-greener-manufacturing-regression", "kernel_id": "55534517"}, {"ref": "csmohamedayman/ml-numc-mercedes-benz-greener-manufacturing", "kernel_id": "55969360"}, {"ref": "cardata/manufacturing-of-mercedes-benz", "kernel_id": "55600499"}, {"ref": "cardata/mercedes-benz-manufacturing-analysis", "kernel_id": "56461661"}, {"ref": "andrii1231/lab-1", "kernel_id": "62328966"}, {"ref": "elasgustavoknaus/0-35-score-eda-cv-htuning-and-stacking-methods", "kernel_id": "64102585"}, {"ref": "elasgustavoknaus/gpu-xgbregg-solution-mercedez", "kernel_id": "64475718"}, {"ref": "iamtapendu/feature-selection-methods", "kernel_id": "65119887"}, {"ref": "iamtapendu/mercedesbenz-gm-eda-solution-r2-0-52", "kernel_id": "66550299"}, {"ref": "iamtapendu/dimensionality-reduction-explained-pca", "kernel_id": "66249382"}, {"ref": "renfufinn/notebooka4f0e9ab13", "kernel_id": "67310107"}, {"ref": "alialmulla97/predict-test-bench-time-for-mercedes-benz", "kernel_id": "69272020"}, {"ref": "alperugurca/mercedes-benz-greener-manufacturing", "kernel_id": "69432675"}, {"ref": "yannlaw/it-managment-iii", "kernel_id": "71770339"}, {"ref": "yannlaw/it-managment-iii-i", "kernel_id": "72398853"}, {"ref": "otrebor2solrac/stacking-xgb-rf-ridge-elasticknet-0-55", "kernel_id": "74714949"}, {"ref": "csmohamedayman/eda-tab-mercari-price-suggestion-challenge", "kernel_id": "75996843"}, {"ref": "hanaeaitelcadi/mercedes-image-hanae-ait-elcadi", "kernel_id": "75460319"}, {"ref": "csmohamedayman/eda-tab-mercedes-benz-greener-manufacturing", "kernel_id": "76003800"}, {"ref": "olegshatov/automl-mercedes-benz-final", "kernel_id": "77595797"}, {"ref": "sayedsalem/eda-catboost-and-randomforest-method", "kernel_id": "78779793"}, {"ref": "mosammo/eda-mercedes-benz", "kernel_id": "80687254"}, {"ref": "shakhoyatshujon/boosting-the-curve-predicting-y-with-precision", "kernel_id": "80293728"}, {"ref": "bilgingunes/mercedes-benz-greener-manufacturing", "kernel_id": "81241412"}, {"ref": "alexanderkshnyakin/notebook7630b601e1", "kernel_id": "81157905"}, {"ref": "emrullahyediyildiz/mercedes-benz-greener-manufacturing", "kernel_id": "90224862"}, {"ref": "kashvikhurana/mercedes-kaggle-hackathon", "kernel_id": "95640598"}, {"ref": "gameryoulose/level-up", "kernel_id": "103635426"}, {"ref": "olgabobkova/mla-home-work", "kernel_id": "103380157"}, {"ref": "dityagoel/level-up-challenge-xgboost", "kernel_id": "103970612"}, {"ref": "devanshkandpal/mercedes-challenge", "kernel_id": "104347411"}, {"ref": "shleshagupta/notebookaf4e74e913", "kernel_id": "104679265"}, {"ref": "manasviim/levelupm", "kernel_id": "105018159"}, {"ref": "nealsalian/evolutionaryapproach-i062", "kernel_id": "110074165"}, {"ref": "b3bkarino/ml-pipeline-mercedes", "kernel_id": "117768852"}, {"ref": "abdomahfouz1/mercedes", "kernel_id": "128480393"}, {"ref": "hagarmesbah/mercedes", "kernel_id": "129490127"}]}
{"competition_id": "6566", "kernels": []}
{"competition_id": "6570", "kernels": []}
{"competition_id": "6592", "kernels": []}
{"competition_id": "6615", "kernels": [{"ref": "mrmarvels30/howpop-habrahabr-favs", "kernel_id": "64529966"}]}
{"competition_id": "6631", "kernels": []}
{"competition_id": "6644", "kernels": [{"ref": "antgoldbloom/notebook5e1daa3763", "kernel_id": "263129"}, {"ref": "benhamner/notebooka8758c64b9", "kernel_id": "272529"}, {"ref": "konradb/validation-first-cut", "kernel_id": "261363"}, {"ref": "domcastro/xgb-with-cutoff", "kernel_id": "309956"}, {"ref": "digitalbro/tips-for-submission-file-using-random-product-ids", "kernel_id": "264328"}, {"ref": "nigelcarpenter/recreating-the-products-by-hour-chart", "kernel_id": "261579"}, {"ref": "nigelcarpenter/simple-beat-the-benchmark", "kernel_id": "260777"}, {"ref": "ab90hi/framework-to-calculate-f1-score", "kernel_id": "270490"}, {"ref": "ab90hi/relationship-between-the-order-gap-and-reorder", "kernel_id": "273194"}, {"ref": "evangeloskalampokis/exploratory-business-analytics-with-instacart", "kernel_id": "930795"}, {"ref": "asymptote/data-understanding", "kernel_id": "262837"}, {"ref": "rilesdg3/xgboost-one-model-per-user", "kernel_id": "325820"}, {"ref": "avinashbarnwal/exploratory-analysis", "kernel_id": "269704"}, {"ref": "avinashbarnwal/model-building", "kernel_id": "270975"}, {"ref": "darshanms1991/notebooka692d10a97", "kernel_id": "263059"}, {"ref": "ppinoli/notebookc8895c77ec", "kernel_id": "263967"}, {"ref": "ppinoli/test1", "kernel_id": "264208"}, {"ref": "verenich/simple-exploration-notebook-instacart", "kernel_id": "383380"}, {"ref": "jlaventall/instacart-1", "kernel_id": "263104"}, {"ref": "pranavj/first-attempt-recommendations", "kernel_id": "260971"}, {"ref": "sudalairajkumar/xgboost-starter-for-instacart-0-3450-score", "kernel_id": "261441"}, {"ref": "sudalairajkumar/simple-exploration-notebook-instacart", "kernel_id": "260958"}, {"ref": "cpmpml/f1-score-expectation-maximization-in-o-n", "kernel_id": "324633"}, {"ref": "cpmpml/faron-script-applied-to-sh1ng-s-solution", "kernel_id": "335765"}, {"ref": "sparing/first-exploratory-analysis", "kernel_id": "264607"}, {"ref": "atinsood/notebookad74172ac6", "kernel_id": "275550"}, {"ref": "satyaprakash1986/notebook20566d25f4", "kernel_id": "262856"}, {"ref": "mhodnett/beat-the-benchmark-0-3473245", "kernel_id": "268595"}, {"ref": "dsoreo/data-exp", "kernel_id": "261448"}, {"ref": "dsoreo/python-script-for-last-order", "kernel_id": "262388"}, {"ref": "abhinavgandhi/notebooke5a79a56e6", "kernel_id": "266071"}, {"ref": "timothybanks/initial-look-at-the-dataset", "kernel_id": "302150"}, {"ref": "search4mahesh/identify-products-likely-to-be-reordered", "kernel_id": "273982"}, {"ref": "hongweizhang/notebookfb33c09d0b", "kernel_id": "272282"}, {"ref": "hongweizhang/how-to-calculate-f1-score", "kernel_id": "272286"}, {"ref": "ceshine/xgboost-starter-with-5-fold-cv-and-early-stopping", "kernel_id": "304501"}, {"ref": "simpetre/notebook07768b6a9b", "kernel_id": "261302"}, {"ref": "njvijay/notebookfb34ee4380", "kernel_id": "265184"}, {"ref": "jarnaldich/notebooke898a8f5d1", "kernel_id": "261792"}, {"ref": "billemerson/tests", "kernel_id": "278689"}, {"ref": "danofer/lb-0-3805009-python-edition", "kernel_id": "332534"}, {"ref": "danofer/instacart-xgboost-starter-lb-0-3808482", "kernel_id": "314239"}, {"ref": "vbogdan/test1", "kernel_id": "263216"}, {"ref": "paintnp/instacart-simple-data-exploration", "kernel_id": "263239"}, {"ref": "cindyxiaoxiaoli/dumb-and-the-dumber-baselines-plb-0-3276826", "kernel_id": "280751"}, {"ref": "aidangawronski/beat-the-benchmark-in-1-line-of-r-code-0-3254970", "kernel_id": "272401"}, {"ref": "viveksrinivasan/eda-on-instacart-market-basket-analysis", "kernel_id": "263191"}, {"ref": "anujmehra/instacart-xgboost-starter-try", "kernel_id": "302282"}, {"ref": "ssarangi/notebooka6f739def6", "kernel_id": "261823"}, {"ref": "ssarangi/data-exploration", "kernel_id": "263645"}, {"ref": "cecilia/notebook2da09f626b", "kernel_id": "269073"}, {"ref": "speriyasamy/notebook814e469104", "kernel_id": "263909"}, {"ref": "speriyasamy/instacart", "kernel_id": "262556"}, {"ref": "sobach/notebook0c905a943b", "kernel_id": "270574"}, {"ref": "brandenkmurray/mean-f1-score-w-xgboost", "kernel_id": "289846"}, {"ref": "brandenkmurray/xgboost-in-h2o", "kernel_id": "290682"}, {"ref": "srajbr/notebook2b37705513", "kernel_id": "264256"}, {"ref": "shraddhas/may19th2017", "kernel_id": "262805"}, {"ref": "karthiv/notebook27b419194f", "kernel_id": "271877"}, {"ref": "karthiv/notebook6114fbec8a", "kernel_id": "272137"}, {"ref": "roypronoy/first-exploratory-analysis", "kernel_id": "262362"}, {"ref": "aikinogard/python-f1-score-function", "kernel_id": "308288"}, {"ref": "junjiecai/notebook9361e1f092", "kernel_id": "274562"}, {"ref": "junjiecai/notebookd1ca4106d8", "kernel_id": "274592"}, {"ref": "jeffhebert/simple-reorder-prediction-model-in-r", "kernel_id": "282587"}, {"ref": "nganman/data-explore", "kernel_id": "264126"}, {"ref": "namra42/user-analysis", "kernel_id": "267060"}, {"ref": "opanichev/pandas-btb", "kernel_id": "261796"}, {"ref": "kruegger/approximate-caclulation-of-ef1-need-o-n", "kernel_id": "325598"}, {"ref": "mmueller/order-streaks-feature", "kernel_id": "319964"}, {"ref": "mmueller/f1-score-expectation-maximization-in-o-n", "kernel_id": "317736"}, {"ref": "atchir/instacart-train-eda", "kernel_id": "262430"}, {"ref": "atchir/notebooka71e298fc1", "kernel_id": "262414"}, {"ref": "zhenjuan/data-exploration-of-instacart-market-basket", "kernel_id": "308513"}, {"ref": "zhenjuan/exploratory-analysis-instacart", "kernel_id": "296749"}, {"ref": "evaxue/notebook500a6656d2", "kernel_id": "272377"}, {"ref": "evaxue/notebook94c6217a9a", "kernel_id": "272382"}, {"ref": "evaxue/notebook2f2801d3a6", "kernel_id": "280669"}, {"ref": "evaxue/notebooka34cfaad33", "kernel_id": "280701"}, {"ref": "vedprakash93/instacart-v1", "kernel_id": "275085"}, {"ref": "sasimsb/instacart-r-script-from-me", "kernel_id": "263901"}, {"ref": "franckjay/notebook82e59d6167", "kernel_id": "265901"}, {"ref": "scirpus/as-simple-as-it-gets", "kernel_id": "329880"}, {"ref": "elusivedelusive/first-look", "kernel_id": "262242"}, {"ref": "naldershof/order-size-over-time", "kernel_id": "261600"}, {"ref": "naldershof/most-ordered-products", "kernel_id": "261583"}, {"ref": "bschaefer/frequent-items-per-user-baseline-lb-0-30", "kernel_id": "265374"}, {"ref": "bschaefer/eda-relationship-between-csvs", "kernel_id": "261487"}, {"ref": "djuuuu/rapid-data-exploratory", "kernel_id": "262620"}, {"ref": "joncarlisle/instacart-xgboost-starter-lb-0-3791", "kernel_id": "322444"}, {"ref": "goodvc/instacart-data-exploratory-week-hour", "kernel_id": "289688"}, {"ref": "darkstardata/data-viz-with-diagrammer-and-wordcloud", "kernel_id": "277611"}, {"ref": "darkstardata/test-script", "kernel_id": "277621"}, {"ref": "darkstardata/notebook27a94fe32e", "kernel_id": "277625"}, {"ref": "terrypham/notebook8caef3c23b", "kernel_id": "271531"}, {"ref": "ezhilvelme/notebookf1f7e06d8f", "kernel_id": "272856"}, {"ref": "emhemh/exploring-instacart-data", "kernel_id": "261589"}, {"ref": "emhemh/exploring-instacart-orders-data", "kernel_id": "261592"}, {"ref": "emhemh/exploring-orders-data", "kernel_id": "261593"}, {"ref": "juan001/exploratory-data-analysis-for-instacart", "kernel_id": "271686"}, {"ref": "dlcarey88/test1", "kernel_id": "261658"}, {"ref": "amhchiu/day-0-sunday", "kernel_id": "267452"}, {"ref": "amhchiu/regular-purchasing-patterns", "kernel_id": "263302"}, {"ref": "satadru5/notebook3a44e2e276", "kernel_id": "270295"}, {"ref": "amitsood/notebook0289216a53", "kernel_id": "271039"}, {"ref": "amitsood/notebook1c099a523d", "kernel_id": "271040"}, {"ref": "amitsood/notebook6d956f7613", "kernel_id": "271041"}, {"ref": "vsmalladi/instacart-data-exploration", "kernel_id": "261613"}, {"ref": "gughanraj/instacart-eda", "kernel_id": "268274"}, {"ref": "gughanraj/notebook34ffbe74e1", "kernel_id": "274307"}, {"ref": "acanak/notebookd96af01b78", "kernel_id": "268390"}, {"ref": "acanak/notebook65c3673424", "kernel_id": "266491"}, {"ref": "rajkiran/instacart-eda", "kernel_id": "332254"}, {"ref": "gaurav780/light-gbm-benchmark-gk", "kernel_id": "319976"}, {"ref": "guangyoung/notebookf340396072", "kernel_id": "271730"}, {"ref": "guangyoung/first-exploratory-analysis", "kernel_id": "271725"}, {"ref": "thariqkhalid/eda-instacart", "kernel_id": "261054"}, {"ref": "jmilhomens/test-instacart", "kernel_id": "349859"}, {"ref": "mtfall/my-initial-data-analyze", "kernel_id": "279320"}, {"ref": "zzllzy/instacart-simple-data-exploration", "kernel_id": "309345"}, {"ref": "zzllzy/simple-exploration-notebook-instacart", "kernel_id": "313664"}, {"ref": "prashantrenu/explore-large-data-python-sqlite-seaborn", "kernel_id": "280064"}, {"ref": "prashantrenu/data-exploration-using-bokeh", "kernel_id": "275197"}, {"ref": "prashantrenu/interactive-data-visualization-using-bokeh", "kernel_id": "276043"}, {"ref": "onodera/multilabel-fscore", "kernel_id": "265765"}, {"ref": "onodera/complementary-goods-using-nltk", "kernel_id": "261321"}, {"ref": "onodera/order-streaks-feature-all-order-id-available", "kernel_id": "323513"}, {"ref": "onodera/fscore-analysis-pt2", "kernel_id": "296829"}, {"ref": "onodera/fscore-analysis", "kernel_id": "295859"}, {"ref": "vibish/notebook335cde402f", "kernel_id": "265587"}, {"ref": "bbhushanam/exploratory-analysis-instacart", "kernel_id": "279821"}, {"ref": "daewonlee/a-question-for-reordered-information", "kernel_id": "262685"}, {"ref": "youwombat/start", "kernel_id": "313667"}, {"ref": "doremi/notebook1824a52722", "kernel_id": "328853"}, {"ref": "mirkainthecity/instacart-mirka", "kernel_id": "264021"}, {"ref": "davidsoto/t1-05-18", "kernel_id": "261911"}, {"ref": "mmotoki/markov-chain-tutorial", "kernel_id": "317468"}, {"ref": "krrish1729/notebook1075616e18", "kernel_id": "276012"}, {"ref": "prathamesh3103/beat-the-benchmark", "kernel_id": "265183"}, {"ref": "gowham91m/data-aggregation-in-r", "kernel_id": "269755"}, {"ref": "vamsikrishna/exploratory-analysis-instacart", "kernel_id": "276673"}, {"ref": "rahulbakshee/eda-insta", "kernel_id": "261991"}, {"ref": "rahulbakshee/eda-instacart", "kernel_id": "262005"}, {"ref": "xtraky/notebook2f41fc26b7", "kernel_id": "279325"}, {"ref": "xmz919/notebook1004311941", "kernel_id": "261291"}, {"ref": "xmz919/test123", "kernel_id": "261415"}, {"ref": "ayushthakur/exploratory-data-analysis", "kernel_id": "264762"}, {"ref": "aldopareja/first-exploratory-analysis", "kernel_id": "265574"}, {"ref": "aldopareja/notebooke8a3597008", "kernel_id": "265563"}, {"ref": "nandres/notebook0e9fe91af3", "kernel_id": "270686"}, {"ref": "karthickveerakumar/read-data", "kernel_id": "271042"}, {"ref": "kaggledmimi/insta-market-basket-1", "kernel_id": "271325"}, {"ref": "kaggledmimi/notebookb42ac130fe", "kernel_id": "271339"}, {"ref": "manisha2/notebook1418e28671", "kernel_id": "275893"}, {"ref": "manisha2/notebook90782b59c8", "kernel_id": "275914"}, {"ref": "surajbhu/notebooka5fd1ec9b8", "kernel_id": "275127"}, {"ref": "paulantoine/train-vs-test-orders", "kernel_id": "280897"}, {"ref": "paulantoine/light-gbm-benchmark-0-3692", "kernel_id": "281283"}, {"ref": "soutou/instacart-xgboost-starter-lb-0-3808482", "kernel_id": "300728"}, {"ref": "soutou/lb-0-3805009-python-edition", "kernel_id": "316763"}, {"ref": "misfyre/beat-the-benchmark-0-3473245", "kernel_id": "264384"}, {"ref": "happycube/validation-demo-325-cv-3276-lb", "kernel_id": "311581"}, {"ref": "happycube/catboost-demo-cv-0-377750059602-lb-0-3802708", "kernel_id": "318922"}, {"ref": "ipsitp/eda-tie-outs-and-finding-similar-products", "kernel_id": "270433"}, {"ref": "passionofml/data-exploration-for-intracast-data", "kernel_id": "263692"}, {"ref": "jeremiedb/f1-score-expectation-maximization-r-port", "kernel_id": "327918"}, {"ref": "seunade/notebook38e663025c", "kernel_id": "261632"}, {"ref": "wabalubdubdub/notebook9fc42078f4", "kernel_id": "276318"}, {"ref": "mona123/exploratory-analysis", "kernel_id": "288707"}, {"ref": "iliyakostov/notebook3ae5012be1", "kernel_id": "270479"}, {"ref": "iliyakostov/notebook60ee6b834c", "kernel_id": "275164"}, {"ref": "iliyakostov/notebookba521e47c9", "kernel_id": "278520"}, {"ref": "sriraghav/notebook39abba64a8", "kernel_id": "272823"}, {"ref": "vartika/first-exploratory-analysis", "kernel_id": "274097"}, {"ref": "datadiggerls/notebookc8aa9f75ff", "kernel_id": "262265"}, {"ref": "viceaster/preliminary-test", "kernel_id": "263159"}, {"ref": "rahulvks/first-exploratory-analysis-instacart", "kernel_id": "261912"}, {"ref": "hsusilo/notebookf3dd18b635", "kernel_id": "260859"}, {"ref": "mohanv/mba-in-r", "kernel_id": "262006"}, {"ref": "mohanv/notebooka80196b251", "kernel_id": "262004"}, {"ref": "mindful/starter-instacart-eda", "kernel_id": "271572"}, {"ref": "mindful/insta", "kernel_id": "268666"}, {"ref": "gython1/notebook758bcd21b8", "kernel_id": "262392"}, {"ref": "gython1/instacart-data-visualization", "kernel_id": "262398"}, {"ref": "ajaygopireddy/notebook280eae6873", "kernel_id": "264341"}, {"ref": "tkm2261/cython-version-of-faron-s-f1-maximization", "kernel_id": "340084"}, {"ref": "tkm2261/my-15th-solution-features-mainly-using-bigquery", "kernel_id": "338324"}, {"ref": "tkm2261/notebooke900088d84", "kernel_id": "277620"}, {"ref": "msp48731/predict-the-basketsize-very-simple", "kernel_id": "269999"}, {"ref": "msp48731/user-item-matrix-collaborative-filtering", "kernel_id": "269268"}, {"ref": "msp48731/frequent-items-baseline-plb-0-3284533", "kernel_id": "268201"}, {"ref": "msp48731/frequent-itemsets-and-association-rules", "kernel_id": "263770"}, {"ref": "barbarayanchen/local-validation-with-detailed-product-comparison", "kernel_id": "292362"}, {"ref": "barbarayanchen/eda-on-instacart-market-basket-analysis", "kernel_id": "292365"}, {"ref": "barbarayanchen/how-to-calculate-f1-score-03a1c8", "kernel_id": "292368"}, {"ref": "barbarayanchen/simple-exploration-notebook-instacart", "kernel_id": "281644"}, {"ref": "barbarayanchen/simple-exploration-notebook-instacart-5bd7e0", "kernel_id": "281659"}, {"ref": "nickycan/lb-0-3805009-python-edition", "kernel_id": "314666"}, {"ref": "vipindas/instacart-eda-v-1", "kernel_id": "264038"}, {"ref": "berghahn/instacart-analysis", "kernel_id": "262161"}, {"ref": "omarito/word2vec-for-products-analysis-0-01-lb", "kernel_id": "275240"}, {"ref": "omarito/lightfm-word2vec-epic-fail", "kernel_id": "285115"}, {"ref": "agarwalvivek92/notebook69325b6779", "kernel_id": "275034"}, {"ref": "misamabbas/create-sample-data-from-dataset", "kernel_id": "280001"}, {"ref": "robotka/notebookfc36692a8a", "kernel_id": "278097"}, {"ref": "ladidinesh/instacart-market-analysis-ml-algorithm", "kernel_id": "261783"}, {"ref": "ryoganand/explore-the-instacart-data-work-in-progress", "kernel_id": "270028"}, {"ref": "veerabhadrappa/extracting-insights-from-instacart-data", "kernel_id": "265694"}, {"ref": "abhisheksrathore/notebook38c85604de", "kernel_id": "261870"}, {"ref": "indureddy/code1", "kernel_id": "272210"}, {"ref": "indureddy/notebook6e5b6b031b", "kernel_id": "273313"}, {"ref": "indureddy/notebook6f794bbeea", "kernel_id": "273166"}, {"ref": "vivekka93/notebook5873d0e90d", "kernel_id": "260623"}, {"ref": "troyretter/issues-resolved-none-in-train-is-hidding", "kernel_id": "287426"}, {"ref": "austincap/notebook9ddc966de8", "kernel_id": "277985"}, {"ref": "austincap/notebook009aba273f", "kernel_id": "277102"}, {"ref": "austincap/notebookbafee9ccbd", "kernel_id": "276217"}, {"ref": "austincap/notebook2a3727b592", "kernel_id": "276209"}, {"ref": "austincap/notebook1641f33ed1", "kernel_id": "276211"}, {"ref": "austincap/notebook0d7c502d42", "kernel_id": "263076"}, {"ref": "royrah/arules", "kernel_id": "279003"}, {"ref": "rishikksh20/basic-starter-data-analysis", "kernel_id": "262317"}, {"ref": "animeshdevarshi/notebooka7a72384f", "kernel_id": "262016"}, {"ref": "silentboy302/pytry", "kernel_id": "262799"}, {"ref": "chetanreddy/basic-starter-data-analysis", "kernel_id": "264829"}, {"ref": "harshad8/instacart-simple-data-exploration", "kernel_id": "264254"}, {"ref": "themissingsock/matrix-decomposition-with-buyer-data", "kernel_id": "329373"}, {"ref": "rochaferraz/notebook20a58eb185", "kernel_id": "263169"}, {"ref": "rochaferraz/juliaxplor", "kernel_id": "263170"}, {"ref": "aagundez/comp-4324", "kernel_id": "268559"}, {"ref": "taeheekim/notebookb04ef72b7a", "kernel_id": "263363"}, {"ref": "mauropelucchi/r-dplyr-for-exploration-instacart-order", "kernel_id": "625650"}, {"ref": "mauropelucchi/r-dplyr-h2o-with-xgboost-to-enter-leaderboard", "kernel_id": "624772"}, {"ref": "you150/first-exploratory-analysis", "kernel_id": "264508"}, {"ref": "diswest/notebooka95cd72d94", "kernel_id": "273677"}, {"ref": "skhimsara/notebook6a782c190b", "kernel_id": "261604"}, {"ref": "jihyeseo/kernela113ad9d0f", "kernel_id": "958659"}, {"ref": "phillyooo/notebook0616178a80", "kernel_id": "268553"}, {"ref": "nhameleers/notebook2d3315f9c1", "kernel_id": "278033"}, {"ref": "indrajit/understanding-data-instacart", "kernel_id": "282043"}, {"ref": "kloude99/simple-eda", "kernel_id": "285688"}, {"ref": "sageknight/a-tale-of-r", "kernel_id": "269051"}, {"ref": "crafter707/instacart-xgboost-starter-lb-0-3791", "kernel_id": "336469"}, {"ref": "crafter707/instacart-buyer-analysis-naive-to-better", "kernel_id": "313408"}, {"ref": "om1042/notebook6941d1d8ef", "kernel_id": "261818"}, {"ref": "acoronel/notebook639977ffcc", "kernel_id": "263325"}, {"ref": "alexattia/data-exploration", "kernel_id": "290781"}, {"ref": "alexattia/data-exploration-and-analysis", "kernel_id": "290784"}, {"ref": "cjd1989/notebookd70d4c1ac8", "kernel_id": "280515"}, {"ref": "cjd1989/3rd-notebook", "kernel_id": "280680"}, {"ref": "cjd1989/first-exploration-instacart", "kernel_id": "274199"}, {"ref": "fcherance/selecting-last-product", "kernel_id": "268991"}, {"ref": "pawelzet/notebook8be99a8371", "kernel_id": "271694"}, {"ref": "vineetkothari/exploratory-analysis-instacart", "kernel_id": "302007"}, {"ref": "anshbansal/notebook6539db9762", "kernel_id": "262237"}, {"ref": "ns3115/instacart-affinity-analysis", "kernel_id": "321112"}, {"ref": "atanum/atanu-market-basket", "kernel_id": "263382"}, {"ref": "tarobxl/parallel-version-of-faron-s-script", "kernel_id": "335942"}, {"ref": "jimliu/notebook-jimliu", "kernel_id": "278727"}, {"ref": "frankherfert/local-validation-with-detailed-product-comparison", "kernel_id": "265181"}, {"ref": "ravijp/exploring", "kernel_id": "275091"}, {"ref": "fabienvs/instacart-xgboost-starter-lb-0-3791", "kernel_id": "284993"}, {"ref": "cjansen/instacart-xgboost-starter-lb-0-3808482", "kernel_id": "299135"}, {"ref": "vladimir123/notebook88254c1e91", "kernel_id": "265683"}, {"ref": "jeffd23/top-10-products-by-department", "kernel_id": "262216"}, {"ref": "nachiketgarge/frequent-itemsets-and-association-rules", "kernel_id": "270107"}, {"ref": "mentos05/identify-products-likely-to-be-reordered", "kernel_id": "268660"}, {"ref": "kuntald/beat-the-benchmark-0-3473245", "kernel_id": "265056"}, {"ref": "cercatrova/notebook3446eb95fc", "kernel_id": "268583"}, {"ref": "abhigyan/mba-instacart", "kernel_id": "285618"}, {"ref": "abhigyan/mba-instacart-1", "kernel_id": "285637"}, {"ref": "kantone/notebook4a515f21b7", "kernel_id": "262107"}, {"ref": "kantone/tmp33", "kernel_id": "263910"}, {"ref": "sugiantolauw/notebook7241a72a28", "kernel_id": "264793"}, {"ref": "takizawa/simple-analytics-editing", "kernel_id": "261941"}, {"ref": "tjvananne/heatmaps-of-reordered-vs-non-reordered-products", "kernel_id": "291598"}, {"ref": "lavi061997/notebookd68ea5ffcf", "kernel_id": "263522"}, {"ref": "taipan/simple-exploration-notebook-instacart", "kernel_id": "274361"}, {"ref": "yifant/notebookba65db5467", "kernel_id": "275401"}, {"ref": "jhamilton415/exploratory-analysis-departments", "kernel_id": "316295"}, {"ref": "jhamilton415/cultural-diversity-of-products-purchases-updated", "kernel_id": "317435"}, {"ref": "brookpang/first-exploratory-analysis", "kernel_id": "261967"}, {"ref": "ninaichen/simple-mba-using-r", "kernel_id": "261965"}, {"ref": "advaitha/advaitha", "kernel_id": "263284"}, {"ref": "alijs1/what-is-popular", "kernel_id": "261498"}, {"ref": "geniusgeek/notebook5f4a573486", "kernel_id": "265076"}, {"ref": "geniusgeek/notebook5873d0e90d", "kernel_id": "260652"}, {"ref": "remibhai/data-exploration", "kernel_id": "280433"}, {"ref": "jeevanrachepalli/notebookdd11044909", "kernel_id": "261784"}, {"ref": "hotworm/notebookb7b9ad49e5", "kernel_id": "260650"}, {"ref": "hotworm/good-luck", "kernel_id": "260651"}, {"ref": "pravindhuri/simple-exploration-notebook-instacart", "kernel_id": "336046"}, {"ref": "deenaliz/instacart-tryouts", "kernel_id": "272180"}, {"ref": "hzdy1994/eda-of-reorders-based-on-order-pattern", "kernel_id": "279956"}, {"ref": "joelkoppe/explore-prior-orders", "kernel_id": "265062"}, {"ref": "venkybuddy/simple-exploration-notebook-instacart", "kernel_id": "334641"}, {"ref": "analystamit/instacart-exploratory-data-analysis", "kernel_id": "261773"}, {"ref": "collonuna/exploratory-analysis-instacart", "kernel_id": "280411"}, {"ref": "mmona1/market-basket-analysis-by-mona", "kernel_id": "267910"}, {"ref": "florilegium/instacart-exploratory-data-analysis", "kernel_id": "268512"}, {"ref": "hernando/compiling-eda-clustering-analysis", "kernel_id": "426850"}, {"ref": "jasmineytchen/pyinsta", "kernel_id": "280880"}, {"ref": "parthassatpathy/eda-dashboards", "kernel_id": "304869"}, {"ref": "marami52/notebookd84b0342d1", "kernel_id": "263115"}, {"ref": "jasonbenner/start", "kernel_id": "261606"}, {"ref": "jasonbenner/starting", "kernel_id": "261609"}, {"ref": "jasonbenner/notebookbe239a533a", "kernel_id": "261611"}, {"ref": "jasonbenner/notebook3d4c7d2068", "kernel_id": "261612"}, {"ref": "jasonbenner/notebookcae2949e12", "kernel_id": "278052"}, {"ref": "jasonbenner/start-instacart-notebook", "kernel_id": "278045"}, {"ref": "swapnil2129/eda-part1", "kernel_id": "270569"}, {"ref": "swapnil2129/exploratory-data-analysis-market-basket-analysis", "kernel_id": "298722"}, {"ref": "lizhili/what-mortal-base-data-visualization", "kernel_id": "298814"}, {"ref": "nikhilkasukurthi/notebook33b8cb80b4", "kernel_id": "262209"}, {"ref": "balasrinivasan/data-exploration-for-beginners-instacart", "kernel_id": "513708"}, {"ref": "pgsupe/xgboost", "kernel_id": "330242"}, {"ref": "nitin007/are-you-game", "kernel_id": "263437"}, {"ref": "pallavr/first-time-kaggling", "kernel_id": "283686"}, {"ref": "dhirendras/eda-of-the-instacart-dataset", "kernel_id": "278940"}, {"ref": "corrieaar/exploratory-analysis", "kernel_id": "296042"}, {"ref": "frednavruzov/markov-chain-reorder-probabilities-python", "kernel_id": "324146"}, {"ref": "frednavruzov/instacart-exploratory-data-analysis", "kernel_id": "261960"}, {"ref": "frednavruzov/dumb-and-the-dumber-baselines-plb-0-3276826", "kernel_id": "263174"}, {"ref": "pablolopezserrano/beat-the-benchmark-0-3473245", "kernel_id": "279487"}, {"ref": "dwayneevans/notebooke27cab4467", "kernel_id": "278875"}, {"ref": "dwayneevans/instalytics", "kernel_id": "279008"}, {"ref": "eoakley/start-here-simple-submission", "kernel_id": "262253"}, {"ref": "ceydaugurrr/first-exploratory-analysis", "kernel_id": "265101"}, {"ref": "shivampanchal/instacart-simple-data-exploration", "kernel_id": "267317"}, {"ref": "yottaasys/analysis", "kernel_id": "315619"}, {"ref": "ricardoarmando/prueba03-02", "kernel_id": "269498"}, {"ref": "carlmalouf/cirst-frack", "kernel_id": "262801"}, {"ref": "narandalai/eda-instacart", "kernel_id": "265931"}, {"ref": "alexis779/last-order-already-reordered", "kernel_id": "270943"}, {"ref": "raphbadger/notebook434bd71296", "kernel_id": "264889"}, {"ref": "xchang/fun-analysis-of-instacart", "kernel_id": "318886"}, {"ref": "accsinv2/first-exploratory-analysis", "kernel_id": "265704"}, {"ref": "foutik/test12", "kernel_id": "279650"}, {"ref": "souravroy/notebook1e5e1c3e22", "kernel_id": "271372"}, {"ref": "stansilas/simple-mba-using-r", "kernel_id": "261618"}, {"ref": "stansilas/items-frequently-added-to-basket-1st", "kernel_id": "261173"}, {"ref": "stansilas/instacart-exploratory-data-analysis", "kernel_id": "261120"}, {"ref": "robjm16/notebook0297cfebf9", "kernel_id": "262192"}, {"ref": "demesgal/instacart-xgboost-starter-lb-0-3791", "kernel_id": "322460"}, {"ref": "valhou/data-exploratory", "kernel_id": "277761"}, {"ref": "classicgabe/instacart-eda", "kernel_id": "262116"}, {"ref": "imvivek/beat-the-benchmark-0-3473245", "kernel_id": "265107"}, {"ref": "rissonyao/instacart-eda", "kernel_id": "282119"}, {"ref": "newforme/exploratory-data-analysis-instacart", "kernel_id": "317633"}, {"ref": "cmac1980/instacart", "kernel_id": "273975"}, {"ref": "fpcarneiro/just-a-first-look", "kernel_id": "261590"}, {"ref": "ccamino/notebookb497c24874", "kernel_id": "265404"}, {"ref": "nabilnobel/if-product-exists-in-last-4-order", "kernel_id": "335441"}, {"ref": "kocchumon/notebook33b3c31399", "kernel_id": "267029"}, {"ref": "kocchumon/begineer", "kernel_id": "269983"}, {"ref": "darrellulm/instacart-test-run", "kernel_id": "314954"}, {"ref": "chanduvemula/instacart-mba-market-basket-analysis", "kernel_id": "268018"}, {"ref": "lilyjin/notebook5255adbe50", "kernel_id": "262433"}, {"ref": "manjeetsingh/exploratory-analysis-instacart", "kernel_id": "387952"}, {"ref": "psrinivassan/notebook65a5a5fbf4", "kernel_id": "261587"}, {"ref": "znielsen/test-instacart-analysis", "kernel_id": "268649"}, {"ref": "mcamack/first-eda", "kernel_id": "260966"}, {"ref": "evander/product-affinity-analysis-instacart-competition", "kernel_id": "277095"}, {"ref": "wernerchao/beat-the-benchmark", "kernel_id": "278887"}, {"ref": "wernerchao/notebook-light-gbm-0-3692-by-paul-antoine", "kernel_id": "278106"}, {"ref": "wernerchao/notebooka8ac9cf717", "kernel_id": "275483"}, {"ref": "jinjian/simple-exploration-notebook-zj", "kernel_id": "391491"}, {"ref": "jinjian/simple-exploration-notebook-instacart-fb0a1e", "kernel_id": "391383"}, {"ref": "banivyom/data-visualization", "kernel_id": "309482"}, {"ref": "birupakhya/exploratory-data-analysis-on-instacart-purchases", "kernel_id": "261729"}, {"ref": "yerne39/fork-instacart-simple-data-exploration", "kernel_id": "264891"}, {"ref": "yerne39/fork-instacart-exploratory-data-analysis", "kernel_id": "264996"}, {"ref": "migranova/notebookf8eed003d0", "kernel_id": "267303"}, {"ref": "xiaoqiangkx/notebook199ad66857", "kernel_id": "269654"}, {"ref": "narababireddy/analyze-reorder-patterns-to-recommend-product", "kernel_id": "309406"}, {"ref": "asindico/clustering-test-data", "kernel_id": "275747"}, {"ref": "asindico/customer-segments-with-pca", "kernel_id": "269972"}, {"ref": "leonidt/data-mining-school-project", "kernel_id": "527347"}, {"ref": "ajaykumarmvk0712/first-analysis", "kernel_id": "264036"}, {"ref": "deeptanshu/frequent-items-baseline-f1-0-3284533", "kernel_id": "269220"}, {"ref": "verma08/notebooka0a60b9d3a", "kernel_id": "263935"}, {"ref": "mihaidanielvirna/pca-dimension-reduction", "kernel_id": "262165"}, {"ref": "nutan06/notebook20f2d1c1a2", "kernel_id": "278943"}, {"ref": "li0nheart/notebook08d8980e5d", "kernel_id": "264727"}, {"ref": "kmuzumdar/identify-products-likely-to-be-reordered", "kernel_id": "263179"}, {"ref": "ezhik262/numpy-pandas", "kernel_id": "265981"}, {"ref": "sathishmanoharan/notebook7e2f2b09ce", "kernel_id": "262743"}, {"ref": "oskarvdb/notebook6cb8c3f9a0", "kernel_id": "273192"}, {"ref": "mathieuvirsolvy/notebook3f1580793b", "kernel_id": "279756"}, {"ref": "rahulbeniwal/notebook55adbe5353", "kernel_id": "275086"}, {"ref": "subizhangg/get-started", "kernel_id": "270355"}, {"ref": "asdftoger/instacart-market-basket-eda", "kernel_id": "290084"}, {"ref": "arunkjuvadi/notebookf9c8231b3f", "kernel_id": "262202"}, {"ref": "contactprad/instacart-market-basket-analysis", "kernel_id": "305203"}, {"ref": "invisiblet/exploratory-analysis-instacart", "kernel_id": "275645"}, {"ref": "sabyasachimishra/instacart-data-exploration-work-in-progress", "kernel_id": "269792"}, {"ref": "bmazoure/mba-using-association-analysis", "kernel_id": "313976"}, {"ref": "manoj2891/my-exploration", "kernel_id": "267257"}, {"ref": "johnoliverjones/calculate-a-prior", "kernel_id": "287361"}, {"ref": "johnoliverjones/calculate-a-prior-and-bayes-factors-0-318", "kernel_id": "286346"}, {"ref": "johnoliverjones/bayesian-updating-ii-lb-0-329-no-model", "kernel_id": "324256"}, {"ref": "dk13093/notebookb1d068acc3", "kernel_id": "260864"}, {"ref": "programminginterview/test-notebook", "kernel_id": "266788"}, {"ref": "victorvdb/notebook736b7e3cca", "kernel_id": "272208"}, {"ref": "jyosan/just-a-first-look", "kernel_id": "263813"}, {"ref": "rainmanbj/instacart-simple-data-exploration-3ada6b", "kernel_id": "264102"}, {"ref": "ppeetteerrs/instacart-basket-exploratory-analysis", "kernel_id": "264284"}, {"ref": "ppeetteerrs/notebook616ddc75be", "kernel_id": "263541"}, {"ref": "vikneshvar/instacart-predictions", "kernel_id": "261725"}, {"ref": "tusohelp/compound-analysis", "kernel_id": "260963"}, {"ref": "ravhui/exploratory-data-analysis", "kernel_id": "303712"}, {"ref": "jmcnugget/exploring-instacart-data-a-departmental-analysis", "kernel_id": "262252"}, {"ref": "bschrift/notebooke784dd63bc", "kernel_id": "261558"}, {"ref": "hconner2/notebookc437d0b49e", "kernel_id": "264464"}, {"ref": "manish11n/notebookccb80a58cd", "kernel_id": "279535"}, {"ref": "manishsaraswat/notebookffdc60b4ab", "kernel_id": "260988"}, {"ref": "manishsaraswat/notebookbfa2edfe89", "kernel_id": "260989"}, {"ref": "starstarstar/time-distribution-per-departments", "kernel_id": "265956"}, {"ref": "yohanb/memory-usage-8-gb", "kernel_id": "269827"}, {"ref": "vedapragnareddy/instacart-analysis-trial-1", "kernel_id": "276653"}, {"ref": "vedapragnareddy/notebooke1f97cd520", "kernel_id": "276201"}, {"ref": "jordandejong/notebook87f99f9b0e", "kernel_id": "263900"}, {"ref": "philippsp/new-feature-idea-order-diversity", "kernel_id": "274442"}, {"ref": "philippsp/exploratory-analysis-instacart", "kernel_id": "260841"}, {"ref": "anthobau/fork-of-eda-representation", "kernel_id": "270630"}, {"ref": "tedchang0102/using-tfidf-as-user-s-affinity", "kernel_id": "320484"}, {"ref": "prajgujarathi/instacart", "kernel_id": "272648"}, {"ref": "rmizuta/notebook1b48d6f4ff", "kernel_id": "279324"}, {"ref": "rmizuta/confirm-the-percentage-of-products-not-pre-ordered", "kernel_id": "293991"}, {"ref": "world9604/instacart-world9604", "kernel_id": "274928"}, {"ref": "kenny21143/introduction-by-simple-visualization", "kernel_id": "272493"}, {"ref": "vramdhanie/notebooka8d2892cda", "kernel_id": "278942"}, {"ref": "xiaoyaonanjiea/notebook279f3f0723", "kernel_id": "262844"}, {"ref": "xiaoyaonanjiea/notebook9b71ac49bd", "kernel_id": "265712"}, {"ref": "mcg123/instacartanalysis", "kernel_id": "261808"}, {"ref": "rshvkmr/instacart-orders", "kernel_id": "276475"}, {"ref": "rshvkmr/instacart-ris", "kernel_id": "276484"}, {"ref": "khansaryan/dnn-model-simple", "kernel_id": "331799"}, {"ref": "khansaryan/instacart-prepare-datasets", "kernel_id": "331792"}, {"ref": "jcuypers/notebook93880fe40f", "kernel_id": "270319"}, {"ref": "zookytar/notebookdd69ec697d", "kernel_id": "263175"}, {"ref": "vijayasekaran/notebook599d9bc1fe", "kernel_id": "272454"}, {"ref": "mazhechen125/notebook6e47fbb1c8", "kernel_id": "262530"}, {"ref": "ecoban/competition-1", "kernel_id": "264979"}, {"ref": "ankitmttl/notebook16f5a69385", "kernel_id": "261989"}, {"ref": "ankitmttl/notebooke45f23618a", "kernel_id": "269840"}, {"ref": "marrvolo/xgboost-starter-for-instacart-0-3450-score", "kernel_id": "262937"}, {"ref": "marrvolo/notebook633e4eb4cc", "kernel_id": "263553"}, {"ref": "marrvolo/notebook3316a6871e", "kernel_id": "261956"}, {"ref": "marrvolo/notebook1b7b38b9c0", "kernel_id": "261525"}, {"ref": "marrvolo/notebookea0cd5fa02", "kernel_id": "260809"}, {"ref": "coolufo/notebook947b0a52e8", "kernel_id": "264319"}, {"ref": "serigne/instacart-simple-data-exploration", "kernel_id": "261228"}, {"ref": "thepastor/notebook514f68ff6f", "kernel_id": "266856"}, {"ref": "aneeshc/clusterization-of-users-based-on-the-products-data", "kernel_id": "424175"}, {"ref": "mounika45/notebookb1c6d3b1e0", "kernel_id": "263880"}, {"ref": "stitchdata/notebook0934320b7b", "kernel_id": "262584"}, {"ref": "tastelesswine/instacart1", "kernel_id": "320230"}, {"ref": "tastelesswine/notebookcfa89c355a", "kernel_id": "291432"}, {"ref": "seungwooha/notebook7f1fb8c66b", "kernel_id": "273139"}, {"ref": "seungwooha/starting", "kernel_id": "261713"}, {"ref": "traumong/missing-values-analysis", "kernel_id": "311366"}, {"ref": "traumong/missing-values-analysis-instacart", "kernel_id": "311371"}, {"ref": "traumong/missing-value-analysis", "kernel_id": "311353"}, {"ref": "nasirahmad/mynotebook", "kernel_id": "278482"}, {"ref": "nasirahmad/firstnotebook", "kernel_id": "278487"}, {"ref": "joehou/notebook7493168323", "kernel_id": "270114"}, {"ref": "marklma/notebook3d7f77ac20", "kernel_id": "269144"}, {"ref": "marklma/predict-the-basketsize-very-simple", "kernel_id": "270335"}, {"ref": "evanevans/my-first-notebook", "kernel_id": "262449"}, {"ref": "shwong/the-instacart-chart", "kernel_id": "266928"}, {"ref": "pravin82/notebookdb0440473b", "kernel_id": "272802"}, {"ref": "nikhithn/sample-keras-nn-implementation", "kernel_id": "309905"}, {"ref": "jonaruick/instacart-top-method-r", "kernel_id": "285262"}, {"ref": "jonaruick/a-hacker-style-coding", "kernel_id": "292123"}, {"ref": "zhbain/take-up-market-basket", "kernel_id": "270555"}, {"ref": "valeantunez/instacart-data-exploratory-week-hour-corregido", "kernel_id": "289939"}, {"ref": "sureshattaluri/notebookc128747bbe", "kernel_id": "262916"}, {"ref": "sureshattaluri/notebook93d3f5028c", "kernel_id": "262963"}, {"ref": "sureshattaluri/notebooke2fba7492f", "kernel_id": "262471"}, {"ref": "mmfish/100107007200", "kernel_id": "276813"}, {"ref": "mmfish/notebook7966059a0c", "kernel_id": "276552"}, {"ref": "mmfish/notebook1a2946f6af", "kernel_id": "279238"}, {"ref": "vikasmunjal/probability-of-re-order-vs-add-to-cart-sequence", "kernel_id": "335469"}, {"ref": "marcelf/obtaining-an-overview-basket", "kernel_id": "262853"}, {"ref": "kgvinayak93/notebookbb90d401b4", "kernel_id": "271218"}, {"ref": "rafaelmdourado/predict-number-of-items", "kernel_id": "269214"}, {"ref": "rafaelmdourado/how-often-people-rebuy", "kernel_id": "263103"}, {"ref": "rafaelmdourado/f1-score-with-r", "kernel_id": "288085"}, {"ref": "bernardolares/simple-beat-the-benchmark-using-dplyr", "kernel_id": "267793"}, {"ref": "highlikeme/notebook02703e8fcc", "kernel_id": "261843"}, {"ref": "alexanderch/first-exploratory-analysis", "kernel_id": "261884"}, {"ref": "hiramfoster/hierarchical-clustering-with-dendrograms", "kernel_id": "284432"}, {"ref": "hiramfoster/exploratory-analysis-r-to-python-translation", "kernel_id": "281009"}, {"ref": "cassiomo/instacart-simple-data-exploration", "kernel_id": "266810"}, {"ref": "outlier1119/notebook278de3a008", "kernel_id": "276548"}, {"ref": "jessymin/notebookaa714d10fc", "kernel_id": "267092"}, {"ref": "umalaks/notebooka56ce4d53f", "kernel_id": "273700"}, {"ref": "umalaks/newkernel", "kernel_id": "272611"}, {"ref": "umalaks/marketbasketanalysis", "kernel_id": "272638"}, {"ref": "umalaks/fork-of-notebooka56ce4d53f", "kernel_id": "274477"}, {"ref": "umalaks/instacart", "kernel_id": "274470"}, {"ref": "umalaks/testorders", "kernel_id": "274631"}, {"ref": "umalaks/notebookd951291f15", "kernel_id": "276974"}, {"ref": "beinsearch/first-exploratory-analysis", "kernel_id": "265630"}, {"ref": "blank1/instacart-data-analysis", "kernel_id": "311368"}, {"ref": "dimsumcheeks/andrea-instacart", "kernel_id": "261919"}, {"ref": "zcistkidd/notebook944807034e", "kernel_id": "261660"}, {"ref": "zcistkidd/dumb-and-the-dumber-baselines-plb-0-3276826", "kernel_id": "280030"}, {"ref": "pianoon/python-first-test", "kernel_id": "280192"}, {"ref": "ailuropus/clusterization-of-users-based-on-the-products-data", "kernel_id": "307290"}, {"ref": "leboson/notebook5873d0e90d", "kernel_id": "260753"}, {"ref": "anirudhk/simple-exploration-notebook-instacart", "kernel_id": "269335"}, {"ref": "sijiew/notebook5479594b96", "kernel_id": "265235"}, {"ref": "coldlikemn/identify-products-likely-to-be-reordered", "kernel_id": "262511"}, {"ref": "ricostynha/my-tests", "kernel_id": "265042"}, {"ref": "ricostynha/my-trial", "kernel_id": "265044"}, {"ref": "ricostynha/trial", "kernel_id": "265045"}, {"ref": "ricostynha/notebook41f2be0b40", "kernel_id": "270040"}, {"ref": "maximepawlak/simple-exploration-notebook-instacart", "kernel_id": "354134"}, {"ref": "aviras/notebooke94ac60bf3", "kernel_id": "274994"}, {"ref": "reneiw/notebook7cf6e19e8b", "kernel_id": "264114"}, {"ref": "ashoknarapasetty/visualisation-feature-engineering-and-prediction", "kernel_id": "334197"}, {"ref": "mathieuroussellewis/instacart", "kernel_id": "262175"}, {"ref": "anshumankarthikr/notebookb2eda79102", "kernel_id": "270390"}, {"ref": "bhupendrathore/instacart-know-your-data", "kernel_id": "322784"}, {"ref": "bhupendrathore/features-instacart", "kernel_id": "326200"}, {"ref": "ericweine/data-analysis-instacart", "kernel_id": "280834"}, {"ref": "rithulkrishnan/fork-of-introductory-exploratory-analysis-0bb4ad", "kernel_id": "264605"}, {"ref": "rithulkrishnan/introductory-exploratory-analysis", "kernel_id": "262854"}, {"ref": "luigimersico/mba-using-association-analysis", "kernel_id": "309520"}, {"ref": "gpoe96/notebook972ccbe892", "kernel_id": "275381"}, {"ref": "qvtran/notebook4096a08a9f", "kernel_id": "265920"}, {"ref": "nataliapanteleeva/hopping", "kernel_id": "266276"}, {"ref": "kenchoi84/notebooka76d93eb05", "kernel_id": "279847"}, {"ref": "amavuduru/exploratory-data-analysis", "kernel_id": "280076"}, {"ref": "amavuduru/exploratory-data-analysis-attempt", "kernel_id": "280078"}, {"ref": "amavuduru/notebook27a1545d9c", "kernel_id": "280071"}, {"ref": "sai6201/testtt", "kernel_id": "268819"}, {"ref": "raquelgbma/new-feature-idea-order-diversity", "kernel_id": "276582"}, {"ref": "nayyark/notebook323e7375f4", "kernel_id": "269156"}, {"ref": "andrewrmcneil/exploration-of-instacart-data-in-r", "kernel_id": "284464"}, {"ref": "hirenchavla93/notebook5cf0c78329", "kernel_id": "294832"}, {"ref": "infinitewing/very-simple-way", "kernel_id": "304368"}, {"ref": "infinitewing/beautiful-order-visualization", "kernel_id": "313686"}, {"ref": "infinitewing/simple-way-to-do-the-validation", "kernel_id": "324418"}, {"ref": "infinitewing/experience-sharing-to-0-4", "kernel_id": "336673"}, {"ref": "rivershadowy/novice-f1-score-calculation-in-r", "kernel_id": "277631"}, {"ref": "rivershadowy/a-strange-observation", "kernel_id": "318467"}, {"ref": "vijaybirajdar/simple-exploration-notebook-instacart", "kernel_id": "290216"}, {"ref": "ppk123/simple-exploration-notebook-instacart", "kernel_id": "277881"}, {"ref": "chuanguy/eda-on-nyc-taxi-unfinished", "kernel_id": "298676"}, {"ref": "extranoise/notebook9f7637107f", "kernel_id": "279170"}, {"ref": "gy2237/this-is-a-test", "kernel_id": "280032"}, {"ref": "miguelferia/food-bought-by-aisle", "kernel_id": "280623"}, {"ref": "alexagnoii/notebook741457cd2d", "kernel_id": "286684"}, {"ref": "nellanellz/comet-final-assessment-task", "kernel_id": "286679"}, {"ref": "snapmickey/comet-rivera", "kernel_id": "286688"}, {"ref": "gabsanti/comet-final-assessment", "kernel_id": "304369"}, {"ref": "luigiacorda/comet-final-assessment-v1", "kernel_id": "289237"}, {"ref": "luigiacorda/comet-final-assessment-v1-5", "kernel_id": "304491"}, {"ref": "nookasaikrishna/instacart-accuracy-69-2-and-f1score-0-5647456", "kernel_id": "333505"}, {"ref": "nookasaikrishna/insta-accuracy-69-2-f1score-0-5647456-final", "kernel_id": "326244"}, {"ref": "waxbabi/light-gbm-benchmark-0-3692", "kernel_id": "282014"}, {"ref": "ankita19/instacart-data-exploration", "kernel_id": "319659"}, {"ref": "ankita19/instacart-exploratory-analysis-continued", "kernel_id": "320455"}, {"ref": "jweisber/visualizing-user-histories", "kernel_id": "310956"}, {"ref": "apiyush/instacart-data-analysis-part-1", "kernel_id": "287187"}, {"ref": "arjunrampal/instacart-lightgbm-version-of-xgboost-starter", "kernel_id": "333282"}, {"ref": "lukeeee/fast-r-port-of-faron-s-f1-maximization", "kernel_id": "328407"}, {"ref": "pablofelgueres/up-and-running-with-the-data-instacart", "kernel_id": "314963"}, {"ref": "rshally/instacart-stage-i-using-f1", "kernel_id": "324151"}, {"ref": "rshally/instacart-lb-392-runs-on-kaggle-with-2nd-clf", "kernel_id": "334914"}, {"ref": "wordroid/cross-entropy-is-higher-as-the-norders-decreases", "kernel_id": "336691"}, {"ref": "danielabban/grocery-ordering-prediction-eda", "kernel_id": "348547"}, {"ref": "jmadhubabu/exploratory-data-analysis", "kernel_id": "345550"}, {"ref": "datatheque/association-rules-mining-market-basket-analysis", "kernel_id": "365490"}, {"ref": "helkaroui/quick-dev", "kernel_id": "397634"}, {"ref": "helkaroui/h-squared-instacart", "kernel_id": "430272"}, {"ref": "fabulinus/complete-guide-to-eda-using-instacart-data-set", "kernel_id": "896060"}, {"ref": "kuntalcse006/consumer-purchase-analysis", "kernel_id": "969006"}, {"ref": "kopas93/instacart-example", "kernel_id": "812061"}, {"ref": "kopas93/xgboost-example", "kernel_id": "937187"}, {"ref": "christinavas/exploratory-business-analytics-with-instacart", "kernel_id": "971456"}, {"ref": "zongas/exploratory-business-analytics-with-instacart", "kernel_id": "971458"}, {"ref": "evangeloskalampokis/predictive-business-analytics-with-instacart", "kernel_id": "1047995"}, {"ref": "danofer/instacart-samples", "kernel_id": "1545947"}, {"ref": "danofer/instacart-product2vec-clustering", "kernel_id": "1561694"}, {"ref": "anand0427/association-analysis", "kernel_id": "1831979"}, {"ref": "meghaprasad/instacart-market-basket-analysis", "kernel_id": "1873054"}, {"ref": "yuuma825/eda-by-beginner", "kernel_id": "1560999"}, {"ref": "ivy1219/customer-behaviour-observation", "kernel_id": "1893663"}, {"ref": "ivy1219/rfm-analysis", "kernel_id": "1929010"}, {"ref": "powerofzero/instacart", "kernel_id": "1196610"}, {"ref": "beatricecai/classification-customer-data-pca-kmeans", "kernel_id": "1635943"}, {"ref": "sophiexu582/customer-segmentation", "kernel_id": "1018026"}, {"ref": "ba15104/variables-of-instacart-competition", "kernel_id": "1800730"}, {"ref": "ioannissavvidis/week-4-instacart-notebook", "kernel_id": "1942796"}, {"ref": "gobrando/instacart-eda", "kernel_id": "1350555"}, {"ref": "dtopkas/exploratory-business-analytics-with-instaca-ef766e", "kernel_id": "1015300"}, {"ref": "mbx17019/exploratory-business-analytics-with-instacart", "kernel_id": "1022736"}, {"ref": "mbx17020/exploratory-business-analytics-with-instaca-352240", "kernel_id": "1024904"}, {"ref": "mbx17020/predictive-business-analytics-with-instacart", "kernel_id": "1060043"}, {"ref": "stefzon/exploratory-business-analytics-instacart-stefzon", "kernel_id": "1023085"}, {"ref": "stefzon/exploratory-business-analytics-with-instaca-30a3d9", "kernel_id": "1181916"}, {"ref": "katerinadanelaki/exploratory-business-analytics-with-instakd", "kernel_id": "1027574"}, {"ref": "savvassdk/exploratory-business-analytics-with-instaca-e6160b", "kernel_id": "1181924"}, {"ref": "kikialexan/exploratory-business-analytics-with-instaca-7ea0d0", "kernel_id": "1222584"}, {"ref": "dimitrismad/predictive-business-analytics-with-instacar-10dbe1", "kernel_id": "1257131"}, {"ref": "rafpro/predictive-business-analytics-with-instacar-cac3ab", "kernel_id": "1260759"}, {"ref": "jkirpitsas/predictive-business-analytics-instacart-mis18019", "kernel_id": "1262081"}, {"ref": "jkirpitsas/predictive-business-analytics-with-instacar-jk", "kernel_id": "1245272"}, {"ref": "knikopoulos/predictive-business-analytics-with-instacart", "kernel_id": "1256119"}, {"ref": "tararafot/predictive-business-analytics-with-instacart", "kernel_id": "1258440"}, {"ref": "achilledekroko/predictive-business-analytics-with-instacar-a2d61a", "kernel_id": "1263424"}, {"ref": "tomsot/predictive-business-analytics-with-instacar-67552f", "kernel_id": "1263260"}, {"ref": "sikabalidis/predictive-business-analytics-with-instacar-7b4a5c", "kernel_id": "1233354"}, {"ref": "ematakia/predictive-business-analytics-with-instacar-00e6c3", "kernel_id": "1260909"}, {"ref": "ikaraker/predictive-business-analytics-with-instacar-88296c", "kernel_id": "1264295"}, {"ref": "mariapar/predictive-business-analytics-with-instacar-21f1b2", "kernel_id": "1223008"}, {"ref": "mariavas14/predictive-business-analytics-with-instacar-b10f4c", "kernel_id": "1261011"}, {"ref": "mis18010/predictive-business-analytics-with-instacart", "kernel_id": "1258466"}, {"ref": "evangelia0606/predictive-business-analytics-with-instacart", "kernel_id": "1249714"}, {"ref": "alexts1/predictive-business-analytics-with-instacar-bb67e2", "kernel_id": "1263257"}, {"ref": "aretikar/week-4-instacart-notebook", "kernel_id": "1943026"}, {"ref": "kokovidis/6-feature-engineering", "kernel_id": "1552531"}, {"ref": "kokovidis/3-pandas-operations", "kernel_id": "1539348"}, {"ref": "kokovidis/5-merging-dataframes", "kernel_id": "1544468"}, {"ref": "kokovidis/4-manipulating-dataframes", "kernel_id": "1544344"}, {"ref": "kokovidis/1n-instacart-data-exploration-feature-engineering", "kernel_id": "1620778"}, {"ref": "kokovidis/2n-instacart-data-exploration-feature-engineering", "kernel_id": "1621369"}, {"ref": "kokovidis/4n-instacart-data-exploration-feature-engineering", "kernel_id": "1831143"}, {"ref": "kokovidis/1e-instacart-exercises", "kernel_id": "1822308"}, {"ref": "paradoges/instacart-data-cleaning", "kernel_id": "1622027"}, {"ref": "dimosraptis/week-4-instacart-notebook-c3e7f5", "kernel_id": "1977952"}, {"ref": "tasosevangelopoulos/week-4-1-2-instacart-notebook", "kernel_id": "1995501"}, {"ref": "tasosevangelopoulos/week-4-instacart-notebook", "kernel_id": "1942878"}, {"ref": "sarantou/week-4-instacart-notebook", "kernel_id": "1942890"}, {"ref": "dimitrakal/week-4-instacart-notebook", "kernel_id": "1942893"}, {"ref": "konstantinosalamanis/fork-of-week-4-instacart-notebook-e5c319", "kernel_id": "1967790"}, {"ref": "georgetsn/week-4-instacart-notebook", "kernel_id": "1942901"}, {"ref": "georgetsn/week-4-1-2-instacart-notebook", "kernel_id": "1995502"}, {"ref": "christosgkiouloglou/week-4-instacart-notebook", "kernel_id": "1989960"}, {"ref": "christosgkiouloglou/assignment-week-4", "kernel_id": "1979645"}, {"ref": "razurazu/week-4-instacart-notebook", "kernel_id": "1942907"}, {"ref": "veronikafilippou/week-4-instacart-notebook", "kernel_id": "1943132"}, {"ref": "veronikafilippou/week-4-1-2-instacart-notebook", "kernel_id": "1995493"}, {"ref": "veronikafilippou/week-4-1-2-instacart-notebook-49a643", "kernel_id": "1995847"}, {"ref": "constantinamak/week-4-instacart-notebook-3bff2e", "kernel_id": "1942896"}, {"ref": "marianaaverkadou/week-4-instacart-notebook", "kernel_id": "1942889"}, {"ref": "vantoniadis/week-4-instacart-notebook", "kernel_id": "1942806"}, {"ref": "efstathiasdrolia/week-4-1-2-instacart-notebook", "kernel_id": "1995507"}, {"ref": "efstathiasdrolia/week-4-instacart-notebook", "kernel_id": "1942916"}, {"ref": "vishal29s/light-gbm-with-best-features-from-rf", "kernel_id": "2135662"}, {"ref": "nagarajh/preliminary-eda", "kernel_id": "2040939"}, {"ref": "vijayapotturu/eda-instacart", "kernel_id": "2821940"}, {"ref": "jacksmengel/lgbm-instacart-using-cross-join", "kernel_id": "2390859"}, {"ref": "mandan/lightgbm-benchmark-implementation", "kernel_id": "2563371"}, {"ref": "ioannissavvidis/instacart-eda-2-assignment", "kernel_id": "2076286"}, {"ref": "ioannissavvidis/instacart-eda-1-assignment", "kernel_id": "2022898"}, {"ref": "rodrigoavalos/final-ia-an-lisis-de-la-cesta-de-mercado", "kernel_id": "2104212"}, {"ref": "grantsmith/instacart-kernel", "kernel_id": "2114327"}, {"ref": "kokovidis/2e-instacart-excercises", "kernel_id": "2036121"}, {"ref": "kokovidis/3e-instacart-exercises-part-ii", "kernel_id": "2170698"}, {"ref": "kokovidis/ml-instacart-f1-0-38-part-one-features", "kernel_id": "2142145"}, {"ref": "kokovidis/3n-instacart-data-exploration-feature-engineering", "kernel_id": "2110678"}, {"ref": "kokovidis/3e-instacart-exercises-part-i", "kernel_id": "2109123"}, {"ref": "kokovidis/4e-instacart-exercises", "kernel_id": "2234622"}, {"ref": "kokovidis/ml-instacart-f1-0-38-part-two-xgboost-f1-max", "kernel_id": "2935029"}, {"ref": "shwet12/eda-on-instacart-market-basket-dataset", "kernel_id": "2785764"}, {"ref": "pphanindra/basket-analysis", "kernel_id": "2248359"}, {"ref": "marcelolaia/instacart-xgboost-starter-lb-0-3791-3e1625", "kernel_id": "2255901"}, {"ref": "lockheed/future-transaction-prediction-on-instacart-dataset", "kernel_id": "2340624"}, {"ref": "dimosraptis/instacart-eda-2-assignment-8b71ba", "kernel_id": "2091732"}, {"ref": "dimosraptis/instacart-eda-1-assignment", "kernel_id": "2024496"}, {"ref": "tasosevangelopoulos/instacart-eda-1-assignment-6609f5", "kernel_id": "2017259"}, {"ref": "tasosevangelopoulos/instacart-eda-1-assignment-8439ca", "kernel_id": "2016986"}, {"ref": "tasosevangelopoulos/instacart-eda-1-assignment", "kernel_id": "2016935"}, {"ref": "tasosevangelopoulos/instacart-eda-2-assignment", "kernel_id": "2074802"}, {"ref": "tasosevangelopoulos/instacart-eda-3-study-book-v2", "kernel_id": "2101335"}, {"ref": "sarantou/instacart-eda-2-assignment", "kernel_id": "2070932"}, {"ref": "sarantou/instacart-eda-1-assignment", "kernel_id": "2031978"}, {"ref": "dimitrakal/instacart-eda-1-assignment-1d60a2", "kernel_id": "2039002"}, {"ref": "dimitrakal/instacart-eda-2-assignment", "kernel_id": "2094187"}, {"ref": "konstantinosalamanis/fork-of-instacart-eda-1-assignment", "kernel_id": "2032806"}, {"ref": "konstantinosalamanis/instacart-eda-1-assignment", "kernel_id": "2005046"}, {"ref": "konstantinosalamanis/instacart-eda-2-assignment-c72f40", "kernel_id": "2076283"}, {"ref": "georgetsn/instacart-eda-2-assignment", "kernel_id": "2060809"}, {"ref": "georgetsn/instacart-eda-1-assignment", "kernel_id": "2003441"}, {"ref": "christosgkiouloglou/instacart-eda-1-assignment", "kernel_id": "2038941"}, {"ref": "christosgkiouloglou/instacart-eda-2-assignment-4cd8f3", "kernel_id": "2094609"}, {"ref": "christosgkiouloglou/instacart-eda-3-assignment", "kernel_id": "2154860"}, {"ref": "razurazu/instacart-eda-1-assignment-c053e0", "kernel_id": "2038950"}, {"ref": "razurazu/instacart-eda-1-assignment-f7107b", "kernel_id": "2039028"}, {"ref": "razurazu/instacart-eda-2-study-book", "kernel_id": "2044772"}, {"ref": "charalambos/instacart-eda-2-assignment-ce1717", "kernel_id": "2090665"}, {"ref": "charalambos/instacart-eda-4-assignment-c94803", "kernel_id": "2244071"}, {"ref": "veronikafilippou/instacart-eda-4-assignment", "kernel_id": "2269733"}, {"ref": "veronikafilippou/instacart-eda-2-assignment", "kernel_id": "2066904"}, {"ref": "veronikafilippou/instacart-eda-1-assignment", "kernel_id": "2014822"}, {"ref": "veronikafilippou/instacart-eda-3-2-assignment", "kernel_id": "2182155"}, {"ref": "veronikafilippou/instacart-eda-3-study-book-v2", "kernel_id": "2101226"}, {"ref": "constantinamak/instacart-eda-1-assignment", "kernel_id": "2030851"}, {"ref": "constantinamak/instacart-eda-2-assignment-5cf563", "kernel_id": "2092187"}, {"ref": "constantinamak/instacart-eda-2-assignment", "kernel_id": "2073855"}, {"ref": "marianaaverkadou/instacart-eda-2-assignment-6a953e", "kernel_id": "2067746"}, {"ref": "marianaaverkadou/instacart-eda-1-assignment", "kernel_id": "2036184"}, {"ref": "vantoniadis/instacart-eda-2-assignment", "kernel_id": "2044766"}, {"ref": "vantoniadis/instacart-eda-1-assignment", "kernel_id": "2022689"}, {"ref": "pmittal1995/instacart-joined-and-sorted-data-for-beginners", "kernel_id": "2308300"}, {"ref": "efstathiasdrolia/instacart-eda-1-assignment", "kernel_id": "2024748"}, {"ref": "efstathiasdrolia/instacart-eda-1-assignment-ab89d1", "kernel_id": "2024775"}, {"ref": "efstathiasdrolia/instacart-eda-2-assignment", "kernel_id": "2064099"}, {"ref": "aashita/qcl-session-1", "kernel_id": "3704265"}, {"ref": "jaganath/instacart-market-basket-exploratiory-analysis", "kernel_id": "3077274"}, {"ref": "madhulekha/instacart-mba-tensorflow-gbm-part1-eda", "kernel_id": "3781928"}, {"ref": "omkardixit/kernel166be20f77", "kernel_id": "3607949"}, {"ref": "sandeepneupane/simple-exploration-notebook-instacart", "kernel_id": "3761094"}, {"ref": "kmezhoud/deploy-arules-algorithmes", "kernel_id": "3179183"}, {"ref": "lbarbosa/instacart-prediction-xgboost-late-sub-0-38084", "kernel_id": "3212518"}, {"ref": "nemkothari/project-insta-predict", "kernel_id": "3398304"}, {"ref": "eangel/instacart-top-n-random-forest-model", "kernel_id": "3741788"}, {"ref": "kokovidis/5n-instacart-data-exploration-feature-engineering", "kernel_id": "3242867"}, {"ref": "shubhendra7/market-basket-analysis-r-language", "kernel_id": "3580776"}, {"ref": "dimosraptis/instacart-ml-2-notebook-xgboost", "kernel_id": "3954804"}, {"ref": "sarantou/instacart-ml-2-notebook", "kernel_id": "3909468"}, {"ref": "charalambos/instacart-ml-2-notebook-try-5", "kernel_id": "3954483"}, {"ref": "charalambos/xgb-of-instacart-ml-2-notebook", "kernel_id": "3987822"}, {"ref": "uomislab/instacart-logistic-notebook", "kernel_id": "3635323"}, {"ref": "uomislab/instacart-rfc-notebook", "kernel_id": "3855642"}, {"ref": "uomislab/instacart-xgboost-gridsearch-notebook", "kernel_id": "3999769"}, {"ref": "tiara687/mba-analysis", "kernel_id": "3586371"}, {"ref": "tiara687/kernel1c57570693", "kernel_id": "3581202"}, {"ref": "malioglou/instacart-ml-2-notebook", "kernel_id": "3951013"}, {"ref": "kotsina/instacart-ml-2-notebook-42d609", "kernel_id": "3992696"}, {"ref": "gcasajus/w2vec-example", "kernel_id": "4112152"}, {"ref": "madhulekha/instacart-mba-tensorflow-gbm-part2-model", "kernel_id": "4034198"}, {"ref": "mohabdiab/instacart", "kernel_id": "4018612"}, {"ref": "eangel/instacart-prediction-explorer", "kernel_id": "4194919"}, {"ref": "kokovidis/ml-instacart-xgboost-gridsearch-notebook", "kernel_id": "4863158"}, {"ref": "kokovidis/ml-instacart-rf-f1-max", "kernel_id": "4863018"}, {"ref": "kokovidis/ml-instacart-rfc", "kernel_id": "4863036"}, {"ref": "kokovidis/ml-instacart-rfc-gridsearch", "kernel_id": "4863333"}, {"ref": "dimosraptis/instacart-ml-xgboost-last5", "kernel_id": "4060896"}, {"ref": "vasilikimastrog/instacart-ml-2-notebook-42d609-ace1ec", "kernel_id": "4120142"}, {"ref": "uomislab/instacart-1-assignment-2025", "kernel_id": "4846568"}, {"ref": "abhinavkum/instacart-eda", "kernel_id": "4698076"}, {"ref": "khalidzaki/instacart-market-basket-analysis", "kernel_id": "4755401"}, {"ref": "alexsnickers/instacart-ml-3-notebook-v2", "kernel_id": "4120124"}, {"ref": "alexandrossyf/instacart-ml-3-final-team-6", "kernel_id": "4348740"}, {"ref": "bad19008/instacart-ml-3-notebook-v2-dc163d", "kernel_id": "4117454"}, {"ref": "bad19006/instacart-ml-2-notebook-to-check", "kernel_id": "4113540"}, {"ref": "whatifanalysisdim/instacart-ml-3-notebook", "kernel_id": "4074165"}, {"ref": "elizdagk/instacart-eda-2-assignment-msc", "kernel_id": "4225137"}, {"ref": "danofer/word2vec-for-insta-products-analysis", "kernel_id": "5205382"}, {"ref": "jiltednut/instacart-customer-segmentation", "kernel_id": "5211502"}, {"ref": "errolpereira/light-gradient-boosting", "kernel_id": "5776404"}, {"ref": "errolpereira/fork-of-light-gradient-boosting", "kernel_id": "5790424"}, {"ref": "errolpereira/xgboost-with-minimal-feature-engineering", "kernel_id": "5764628"}, {"ref": "errolpereira/lgbm-blend", "kernel_id": "5803014"}, {"ref": "errolpereira/xgboost-with-feature-engineering", "kernel_id": "5806502"}, {"ref": "errolpereira/instacart-basic-eda", "kernel_id": "5701666"}, {"ref": "zxcvasdfqwer1234/instacart-model", "kernel_id": "5970552"}, {"ref": "jade95/fork-of-try-word2vec-by-user-id", "kernel_id": "5861351"}, {"ref": "jade95/fork-of-reorderd-high-user-like-product-research", "kernel_id": "5942110"}, {"ref": "jade95/instacart-data-exploration", "kernel_id": "5518410"}, {"ref": "sonsuki/instacart-r-01", "kernel_id": "5580641"}, {"ref": "sonsuki/instacart-02", "kernel_id": "5557512"}, {"ref": "sonsuki/dbscan7-product-word2vec", "kernel_id": "5918052"}, {"ref": "sonsuki/fork-of-instacart-02", "kernel_id": "5938878"}, {"ref": "sonsuki/0-75-5", "kernel_id": "5866048"}, {"ref": "sonsuki/product-top1000", "kernel_id": "5724847"}, {"ref": "bogyeom/datas", "kernel_id": "5635833"}, {"ref": "bogyeom/reorderd-high-user-like-product-research", "kernel_id": "5867815"}, {"ref": "abhisheks02/order-prediction-using-xgboost", "kernel_id": "5746414"}, {"ref": "abhisheks02/order-prediction", "kernel_id": "5461393"}, {"ref": "stillsut/customer-segments-with-pca", "kernel_id": "6389782"}, {"ref": "athinakasimidou/instacart-2-assignment", "kernel_id": "6668022"}, {"ref": "athinakasimidou/instacart-4-assignment", "kernel_id": "6817275"}, {"ref": "danofer/association-rules-mining-market-basket-svd-embed", "kernel_id": "7604420"}, {"ref": "rylian/instacart-market-basket-analysis-using-apriori-alg", "kernel_id": "7983522"}, {"ref": "anilak1978/instacart-exploratory-analysis", "kernel_id": "7864782"}, {"ref": "yatinarora/simple-exploration-notebook-instacart", "kernel_id": "7547320"}, {"ref": "kashdotten/customer-segmentation-pca-elbow-k-means-apriori", "kernel_id": "7916551"}, {"ref": "l0new0lf/association-rules-mining-market-basket-analysis", "kernel_id": "8292652"}, {"ref": "soheilhosseini/instacart-market-basket-analysis-eda", "kernel_id": "8738945"}, {"ref": "gabrielbelolll/metadata-based-recommender-systems-with-instacart", "kernel_id": "8483079"}, {"ref": "ouwyukha/imba-surprise-svd", "kernel_id": "9302533"}, {"ref": "ouwyukha/imba-turicreate-rfr-adagrad", "kernel_id": "9301054"}, {"ref": "ouwyukha/imba-surprise-svdpp", "kernel_id": "9301428"}, {"ref": "ouwyukha/imba-surprise-coclustering", "kernel_id": "9339566"}, {"ref": "ouwyukha/imba-surprise-nmf", "kernel_id": "9339568"}, {"ref": "ouwyukha/imba-surprise-slopeone", "kernel_id": "9339569"}, {"ref": "ouwyukha/imba-surprise-normalpredictor", "kernel_id": "9339582"}, {"ref": "ouwyukha/imba-turicreate-fr-sgd", "kernel_id": "9339825"}, {"ref": "ouwyukha/imba-turicreate-fr-adagrad", "kernel_id": "9339826"}, {"ref": "ouwyukha/imba-turicreate-fr-als", "kernel_id": "9339828"}, {"ref": "ouwyukha/imba-turicreate-fr-als-pol", "kernel_id": "9339700"}, {"ref": "ouwyukha/imba-turicreate-fr-sgd-pol", "kernel_id": "9339702"}, {"ref": "ouwyukha/imba-surprise-baseline-sgd", "kernel_id": "9339479"}, {"ref": "ouwyukha/imba-surprise-baseline-als", "kernel_id": "9339488"}, {"ref": "ouwyukha/imba-turicreate-fr-adagrad-pol", "kernel_id": "9339753"}, {"ref": "ouwyukha/imba-turicreate-itemsim-pearson-pol", "kernel_id": "9339961"}, {"ref": "ouwyukha/imba-turicreate-itemsim-jaccard-pol", "kernel_id": "9339963"}, {"ref": "ouwyukha/imba-turicreate-itemsim-cosine-pol", "kernel_id": "9339964"}, {"ref": "ouwyukha/imba-turicreate-rfr-ials", "kernel_id": "9297673"}, {"ref": "ouwyukha/imba-turicreate-rfr-sgd", "kernel_id": "9274635"}, {"ref": "ouwyukha/imba-turicreate-itemsim-pearson", "kernel_id": "9350684"}, {"ref": "ouwyukha/imba-turicreate-itemsim-jaccard", "kernel_id": "9350685"}, {"ref": "ouwyukha/imba-turicreate-itemsim-cosine", "kernel_id": "9350686"}, {"ref": "drainvers/instacart-sandbox-als", "kernel_id": "9274681"}, {"ref": "drainvers/instacart-sandbox-bpr", "kernel_id": "9336870"}, {"ref": "drainvers/instacart-sandbox-lmf", "kernel_id": "9353274"}, {"ref": "jianqiangchen9314/light-gbm-benchmark-0-3692", "kernel_id": "9334040"}, {"ref": "marveloper/instacartanalysis-followingcode", "kernel_id": "10449223"}, {"ref": "joyeee/leegippeum-instacartmarketbasket", "kernel_id": "10004560"}, {"ref": "crazydonkey/instacart-blanket", "kernel_id": "11183970"}, {"ref": "swimingcircle119/instacart-2", "kernel_id": "11346655"}, {"ref": "katharinepires/association-rules-instacart-market-basket-analysis", "kernel_id": "11070141"}, {"ref": "madhavkumar2005/product-embeddings", "kernel_id": "12690105"}, {"ref": "realstay/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "12141465"}, {"ref": "nathan77/nlp-based-recommender", "kernel_id": "12763434"}, {"ref": "marianaalm/association-rules-instacart", "kernel_id": "12841683"}, {"ref": "sotiriatzika/instacart-1-assignment", "kernel_id": "12991320"}, {"ref": "nislam4/instacart-basket-eda", "kernel_id": "13606617"}, {"ref": "nathan77/bird-s-eye-view-of-data", "kernel_id": "13196351"}, {"ref": "bagelzhu/instacart-basket-project", "kernel_id": "13601021"}, {"ref": "kvnkho/fugue-workshop", "kernel_id": "14896949"}, {"ref": "yundojeong/instacart-eda", "kernel_id": "14251936"}, {"ref": "jungeun0121/instacart-market-basket-analysis-basiceda2", "kernel_id": "14449674"}, {"ref": "jungeun0121/instacart-eda", "kernel_id": "14198516"}, {"ref": "goodwanghan/instacart-eda-training-inference", "kernel_id": "15242230"}, {"ref": "sownikturaga96/instacart-customer-purchase-analysis", "kernel_id": "16693812"}, {"ref": "meldo8/basket-apriori-alg", "kernel_id": "16603682"}, {"ref": "rohanroney/instacart-customer-purchase-analysis", "kernel_id": "17493583"}, {"ref": "rishabhkes19/instacart-market-basket-analysis", "kernel_id": "17473758"}, {"ref": "prashant1947/notebook43b2a99941", "kernel_id": "17337149"}, {"ref": "sanchitapaul/instacart-customer-purchase-analysis", "kernel_id": "17415154"}, {"ref": "sumantamuduli/sumanta-instacart", "kernel_id": "17305310"}, {"ref": "sumantamuduli/xgboost-with-feature-engineering", "kernel_id": "17482444"}, {"ref": "bhanushahi/instacart-market-analysis", "kernel_id": "17424717"}, {"ref": "lovelylife158/atom-project-g5-tt", "kernel_id": "18090764"}, {"ref": "quan030894/atomfair", "kernel_id": "18078623"}, {"ref": "vidushibhatia/4-instacart-market-basket-classification", "kernel_id": "18503414"}, {"ref": "dwihdyn/mkt-bskt-analysis", "kernel_id": "19978690"}, {"ref": "shun2741/baseline", "kernel_id": "19255426"}, {"ref": "jboros/market-basket-analysis-with-association-rules", "kernel_id": "19929987"}, {"ref": "emphymachine/customer-segmentation-with-k-means", "kernel_id": "20337462"}, {"ref": "dwihdyn/mkt-bskt-eda", "kernel_id": "20079555"}, {"ref": "uomislab/instacart-1-study-book-2024", "kernel_id": "21688709"}, {"ref": "ugwayk/instacart", "kernel_id": "21045854"}, {"ref": "kanchanlakhlan/insta-cart-eda", "kernel_id": "21619810"}, {"ref": "sarvesh1604/notebookb3f67d1cc3", "kernel_id": "25639005"}, {"ref": "shubhamsalokhe/doc-file-25-march", "kernel_id": "25726053"}, {"ref": "nishantgaurav23/market-basket-analysis-apriori-algorithm", "kernel_id": "26071462"}, {"ref": "tokakhaled/insta-market-analysis", "kernel_id": "26944665"}, {"ref": "bbksjdd/instacart-market-basket-analysis", "kernel_id": "26237287"}, {"ref": "nouranhany10/eda-on-instacart-data", "kernel_id": "26698496"}, {"ref": "jordannguyen34/jj-cs-418-final-project-code", "kernel_id": "26829036"}, {"ref": "vinh1404/light-gbm-benchmark-0-3692", "kernel_id": "27082723"}, {"ref": "nouranhany10/predictive-analysis-model", "kernel_id": "27275537"}, {"ref": "caruazu/explora-o-de-dados", "kernel_id": "27833855"}, {"ref": "yurisenacardosobraga/atividade-yuri-e-weslei-prof-vital", "kernel_id": "27839492"}, {"ref": "anushamudaliyar/market-basket-analysis", "kernel_id": "30813752"}, {"ref": "abhishekmungoli/product-embedding-disk-datasets", "kernel_id": "31215642"}, {"ref": "abhishekmungoli/product-embeddings-data-preparation", "kernel_id": "31188746"}, {"ref": "iovidius/big-data-2022", "kernel_id": "31969053"}, {"ref": "gayathrigld/major-project", "kernel_id": "32238094"}, {"ref": "hmthanh/k31-instacart-xgboost-light-gbm", "kernel_id": "33093878"}, {"ref": "nguyncngph/instacart-logistic-regression", "kernel_id": "33559149"}, {"ref": "nguyncngph/instacart-decision-tree", "kernel_id": "33559222"}, {"ref": "nguyncngph/instacart-lightgbm", "kernel_id": "33559448"}, {"ref": "nguyncngph/ml-instacart-f1-0-38-part-two-xgboost-f1-max", "kernel_id": "33109154"}, {"ref": "tianzejaredzhang/instacart-exploratory-data-analysis-progressing", "kernel_id": "33794837"}, {"ref": "abhishekmungoli/knowledge-distillation", "kernel_id": "34694640"}, {"ref": "abhishekmungoli/ecommerce-product-descriptions-embedding", "kernel_id": "35352469"}, {"ref": "priyak950/market-basket-analysis", "kernel_id": "36390031"}, {"ref": "narayansharma275/ecommerce-product-descriptions-embedding", "kernel_id": "38010415"}, {"ref": "rohu4u/rohan-instacart", "kernel_id": "38549740"}, {"ref": "saadmakhdoom/market-analysis", "kernel_id": "39553434"}, {"ref": "nguynlonghi/text-extraction", "kernel_id": "40491350"}, {"ref": "shencyjose/pca-customer-segmentation", "kernel_id": "40354708"}, {"ref": "mayank00rastogi/products-recommendation-annoyindex-nlp", "kernel_id": "41708711"}, {"ref": "shivi5/market-basket-analysis", "kernel_id": "41097735"}, {"ref": "luizllrum/data-analise-apriori", "kernel_id": "41638958"}, {"ref": "panhwarparvez/pca-and-ensemble-methods", "kernel_id": "42451453"}, {"ref": "omupilot/rohan-instacart", "kernel_id": "42746258"}, {"ref": "guzzipa/customer-segments-with-pca", "kernel_id": "43922631"}, {"ref": "idksmthnggood/market-basket-analysis", "kernel_id": "43050539"}, {"ref": "claudialois/market-basket-analysis-using-spark-and-h2o", "kernel_id": "48890590"}, {"ref": "darrellcr/instacart", "kernel_id": "58545632"}, {"ref": "c14210099/bda-machine-learning-pt-2", "kernel_id": "58544851"}, {"ref": "csmohamedayman/ml-clust-instacart-market-basket-analysis", "kernel_id": "59350237"}, {"ref": "psumanthreddy/instacart-market-products-prediction", "kernel_id": "60785486"}, {"ref": "samueladetunji/1-initial-exploration-from-local", "kernel_id": "63608700"}, {"ref": "samueladetunji/2-eda-from-local", "kernel_id": "63649610"}, {"ref": "samueladetunji/4-market-basket-from-local", "kernel_id": "63723066"}, {"ref": "samueladetunji/3-customer-cluster-from-local", "kernel_id": "63658580"}, {"ref": "mohamedabobakr0/instacart-market", "kernel_id": "63605122"}, {"ref": "eslam3assi/instacart", "kernel_id": "64518334"}, {"ref": "ahmedmahmoud16/market-basket-analysis", "kernel_id": "65123146"}, {"ref": "nanakdeepsingh/notebookb7eecbc8fe", "kernel_id": "66900822"}, {"ref": "kushagrasharma133/kushagra-sharma-q-10", "kernel_id": "70777396"}, {"ref": "zyh1104/048-instacart-market-basket-analysis", "kernel_id": "71897817"}, {"ref": "annettelianchiu/pca-customer-segmentation", "kernel_id": "72283954"}, {"ref": "annettelianchiu/ecommerce-product-descriptions-embedding", "kernel_id": "72309519"}, {"ref": "annettelianchiu/1-initial-exploration-from-local", "kernel_id": "72294027"}, {"ref": "annettelianchiu/instacart-eda-rapids-and-similarity-recommenders", "kernel_id": "72374846"}, {"ref": "annettelianchiu/similarity-recommendation-based-on-node2vec", "kernel_id": "72415151"}, {"ref": "bruh12/product-embeddings", "kernel_id": "72699666"}, {"ref": "saicharandas/ml-project1", "kernel_id": "72555597"}, {"ref": "evansajumathew/instacart-market-basket-analysis", "kernel_id": "75849832"}, {"ref": "yangfan11/048-instacart-market-basket-analysis", "kernel_id": "75304811"}, {"ref": "csmohamedayman/eda-clust-instacart-market-basket-analysis", "kernel_id": "76436367"}, {"ref": "csmohamedayman/eda-clust-physical-activity-clustering", "kernel_id": "77041848"}, {"ref": "nirmalmentor/simple-exploration-notebook-instacart", "kernel_id": "81748399"}]}
{"competition_id": "6647", "kernels": [{"ref": "hanameister/kernel8b68f7744b", "kernel_id": "883732"}, {"ref": "wcukierski/test-notebook-nothing-to-see-here", "kernel_id": "1243079"}, {"ref": "brandonkh/brandonkeiji-tester", "kernel_id": "36080803"}]}
{"competition_id": "6649", "kernels": [{"ref": "benhamner/notebookc19e93a3d5", "kernel_id": "272526"}, {"ref": "mjahrer/simple-lightgbm-4", "kernel_id": "270046"}, {"ref": "domcastro/xgb-w-o-outliers-lgb-with-outliers-combo-tune5", "kernel_id": "312430"}, {"ref": "domcastro/xgb-w-o-outliers-lgb-with-outliers-combined", "kernel_id": "308308"}, {"ref": "raviannaswamy/lightgbm-as-notebook", "kernel_id": "273246"}, {"ref": "raviannaswamy/simple-exploration-notebook-zillow-prize", "kernel_id": "268548"}, {"ref": "raviannaswamy/lightgbm", "kernel_id": "268609"}, {"ref": "joseleiva/notebook328cb8c871", "kernel_id": "270344"}, {"ref": "felixguo/notebook3fe4ae9974", "kernel_id": "272902"}, {"ref": "felixguo/ml-ensemble-scikit-learn-style-ensemble-learning", "kernel_id": "272647"}, {"ref": "lujing/slightly-tuned-xgboost-starter-0-0649", "kernel_id": "294731"}, {"ref": "newhighscore/zillow-data-exploration-v1", "kernel_id": "272855"}, {"ref": "n3n77i/zillowcat", "kernel_id": "273913"}, {"ref": "soates/eda-zillow", "kernel_id": "272821"}, {"ref": "dkeitel/simple-exploration-notebook-zillow-prize", "kernel_id": "275587"}, {"ref": "nathantheshark/simple-nearest-neighbor-regression", "kernel_id": "269211"}, {"ref": "magsgiust/how-can-the-zestimate-be-improved", "kernel_id": "436550"}, {"ref": "magsgiust/my-eda-zillow", "kernel_id": "355446"}, {"ref": "youngwookkim/trying-lightgbm", "kernel_id": "275789"}, {"ref": "youngwookkim/tttyyy", "kernel_id": "275791"}, {"ref": "fuhang/a-chinese-translation-of-material-updating", "kernel_id": "390826"}, {"ref": "kaushic/trial", "kernel_id": "272214"}, {"ref": "wendykan/check-if-properties-ids-exist", "kernel_id": "271924"}, {"ref": "wendykan/zillow-list-files", "kernel_id": "265119"}, {"ref": "tobikaggle/simple-lightgbm", "kernel_id": "268938"}, {"ref": "tobikaggle/simple-lightgbm-starter-lb-0-06487", "kernel_id": "267622"}, {"ref": "yinsong/notebook3fa2009f3b", "kernel_id": "267375"}, {"ref": "yinsong/notebook4a3a376a29", "kernel_id": "267377"}, {"ref": "bruins/eda-of-repeated-parcels-w-matched-pair-analysis", "kernel_id": "276126"}, {"ref": "mcw0089/test1", "kernel_id": "267921"}, {"ref": "mcw0089/test3", "kernel_id": "269881"}, {"ref": "mcw0089/test4", "kernel_id": "269889"}, {"ref": "rajukommarajula/zillow-light-gbm-without-outliers", "kernel_id": "338271"}, {"ref": "theunis/a-geospatial-feature", "kernel_id": "372142"}, {"ref": "saurabh2086/notebook8f4dde5087", "kernel_id": "282858"}, {"ref": "valadi/simple-xgboost-starter-0-0655-newparams", "kernel_id": "276687"}, {"ref": "valadi/tttyyy", "kernel_id": "274851"}, {"ref": "valadi/simple-lightgbm-4-new-params", "kernel_id": "269558"}, {"ref": "valadi/wut-xshao", "kernel_id": "269088"}, {"ref": "valadi/simple-lightgbm-4-new", "kernel_id": "269117"}, {"ref": "valadi/xgboost-lightgbm-and-ols-tunenew1", "kernel_id": "332453"}, {"ref": "valadi/xgboost-lightgbm-and-ols", "kernel_id": "328919"}, {"ref": "valadi/xgboost-lightgbm-and-ols-tunenew", "kernel_id": "329726"}, {"ref": "valadi/xgboost-without-outliers-edited-lb-0-0646300", "kernel_id": "330043"}, {"ref": "valadi/xgboost-lightgbm-and-ols-change", "kernel_id": "330549"}, {"ref": "valadi/simple-xgboost-with-linear-model-in-r", "kernel_id": "322281"}, {"ref": "valadi/xgb-w-o-outliers-lgb-with-ocombined-tune", "kernel_id": "318388"}, {"ref": "valadi/xgboost-lightgbm-and-ols-tunee", "kernel_id": "318658"}, {"ref": "valadi/xgboost-lightgbm-and-ols-tune", "kernel_id": "313955"}, {"ref": "valadi/xgb-w-o-outliers-lgb-with-outliers-combine", "kernel_id": "309902"}, {"ref": "valadi/local-cv-explorer-2", "kernel_id": "310367"}, {"ref": "valadi/xgboost-lightgbm-and-ols-tune-1", "kernel_id": "315881"}, {"ref": "valadi/xgboost-lightgbm-and-olsv21", "kernel_id": "315483"}, {"ref": "valadi/trying-lightgbm-vkj-mod", "kernel_id": "287921"}, {"ref": "valadi/light-gbm-starter-mod1", "kernel_id": "287982"}, {"ref": "valadi/xgb-w-o-outliers-lgb-with-outliers-combo-tune3", "kernel_id": "304730"}, {"ref": "valadi/lightgbm-excluding-outliers", "kernel_id": "305266"}, {"ref": "valadi/xgb-w-o-outliers-lgb-with-outliers-combo-tune4", "kernel_id": "305390"}, {"ref": "valadi/xgb-w-o-outliers-lgb-with-outliers-combo-tune6", "kernel_id": "308898"}, {"ref": "valadi/xgboost-without-outliers-lb-0-06463", "kernel_id": "299542"}, {"ref": "valadi/xgboost-without-outliers-tune", "kernel_id": "299544"}, {"ref": "valadi/xgboost-without-outliers-tune3", "kernel_id": "299578"}, {"ref": "valadi/xgboost-without-outliers-tweak-tune", "kernel_id": "300611"}, {"ref": "valadi/xgboost-without-outliers-tweak-tuneagain", "kernel_id": "301043"}, {"ref": "valadi/xgb-w-o-outliers-lgb-with-outliers-combined-tune", "kernel_id": "301451"}, {"ref": "valadi/xgb-with-lgb-w-o-outliers-combo-tune1", "kernel_id": "303654"}, {"ref": "sountherfish/a-very-extensive-zillow-exploratory-analysis", "kernel_id": "270343"}, {"ref": "monkeyorman/simple-linear-regression-in-r-0-0648835", "kernel_id": "306067"}, {"ref": "padruig/xgboost-lightgbm-and-ols-and-nn", "kernel_id": "368596"}, {"ref": "padruig/zestimates", "kernel_id": "366579"}, {"ref": "marcboettinger/070620172", "kernel_id": "278486"}, {"ref": "marcboettinger/06062017-4", "kernel_id": "278057"}, {"ref": "marcboettinger/trying-lightgbmf", "kernel_id": "275424"}, {"ref": "mathseer/whynot", "kernel_id": "269537"}, {"ref": "sudalairajkumar/simple-exploration-notebook-zillow-prize", "kernel_id": "266470"}, {"ref": "tianhwu/zillow-eda-tax-hexbin", "kernel_id": "276507"}, {"ref": "tianhwu/zillow-tax-hexbin-eda", "kernel_id": "276514"}, {"ref": "gingerman/simple-xgboost-starter-0-0655", "kernel_id": "266781"}, {"ref": "zoldin/xgboost-with-specific-parameters", "kernel_id": "274262"}, {"ref": "zoldin/xgboost", "kernel_id": "276156"}, {"ref": "zoldin/exploratory-analysis-amd-xgboost", "kernel_id": "271354"}, {"ref": "denplusplus/baseline-model-lgb-without-outliers", "kernel_id": "268573"}, {"ref": "khorsch/exploration", "kernel_id": "271828"}, {"ref": "chendongnz/testpython", "kernel_id": "271211"}, {"ref": "chendongnz/notebookf6872289df", "kernel_id": "271208"}, {"ref": "chendongnz/simple-lightgbm-4", "kernel_id": "270449"}, {"ref": "chendongnz/notebook20ccdd24e8", "kernel_id": "270456"}, {"ref": "chendongnz/notebook00aab4f33f", "kernel_id": "270458"}, {"ref": "chendongnz/myfirst", "kernel_id": "273144"}, {"ref": "akilaw/simple-lightgbm-starter-lb-0-06487", "kernel_id": "268798"}, {"ref": "akilaw/light-gbm-starter", "kernel_id": "274134"}, {"ref": "michelj/simple-xgboost-starter-0-0655", "kernel_id": "272698"}, {"ref": "aaronneiderhiser/notebook22a3d4189b", "kernel_id": "269352"}, {"ref": "speculation/zillow", "kernel_id": "394900"}, {"ref": "lnicalo/zillow-prize-error-analysis", "kernel_id": "295072"}, {"ref": "tyranitar/working", "kernel_id": "280116"}, {"ref": "viveksrinivasan/zillow-eda-on-missing-values-multicollinearity", "kernel_id": "266752"}, {"ref": "loveall/zillow-features-learning-with-tpot", "kernel_id": "372024"}, {"ref": "loveall/best-data-science-teamgokagglers", "kernel_id": "359415"}, {"ref": "loveall/cv-4thq-based-on-xgboost-lightgbm-and-ols-go", "kernel_id": "367740"}, {"ref": "loveall/xgboost-model-with-pb-score-0-0639", "kernel_id": "402545"}, {"ref": "loveall/xgboost-ensemble-in-h2o-lb-0-0666", "kernel_id": "400657"}, {"ref": "loveall/test-zillow-ver2-0", "kernel_id": "398896"}, {"ref": "loveall/only-cat-boost-lb-0-0641-939", "kernel_id": "422330"}, {"ref": "loveall/simple-eda-geo-data-time-series", "kernel_id": "432110"}, {"ref": "rjmishra/zillow-normal", "kernel_id": "267260"}, {"ref": "isaac7/test-script", "kernel_id": "270348"}, {"ref": "isaac7/notebookf9dac50b99", "kernel_id": "270372"}, {"ref": "isaac7/notebook67de7161e4", "kernel_id": "271005"}, {"ref": "isaac7/notebook07395b93c0", "kernel_id": "271019"}, {"ref": "isaac7/first-try", "kernel_id": "272081"}, {"ref": "isaac7/notebookdf12ad6880", "kernel_id": "271919"}, {"ref": "isaac7/try-keras", "kernel_id": "275774"}, {"ref": "changlan/exploratory-analysis", "kernel_id": "321758"}, {"ref": "rdoume/zillow-baseline", "kernel_id": "269687"}, {"ref": "tmkunz/clustering-of-geospatial-data", "kernel_id": "294923"}, {"ref": "vrathee/abcbdefg", "kernel_id": "341106"}, {"ref": "venkatvurimalla/simple-boosted-regression", "kernel_id": "268836"}, {"ref": "mbilalshaikh/initial-load-merge-explore-training-data", "kernel_id": "267365"}, {"ref": "sushize/xgb-sub4", "kernel_id": "276788"}, {"ref": "sushize/xgb-sub5", "kernel_id": "276839"}, {"ref": "sushize/xgb-sub8", "kernel_id": "276864"}, {"ref": "sushize/xgb-sub9", "kernel_id": "276866"}, {"ref": "sushize/xgb-sub10", "kernel_id": "276870"}, {"ref": "sushize/lightgbm-7", "kernel_id": "276856"}, {"ref": "sushize/trying-lightgbm", "kernel_id": "276748"}, {"ref": "pappukrjha/easy-coding", "kernel_id": "280896"}, {"ref": "pappukrjha/zestarter", "kernel_id": "267231"}, {"ref": "psaadbye/simple-lightgbm-starter-lb-0-06487", "kernel_id": "268471"}, {"ref": "jeffhebert/predicting-znoise-with-xgboost-in-r", "kernel_id": "281584"}, {"ref": "evertonsilva/first-gbm-v-01", "kernel_id": "271947"}, {"ref": "anukuru12/exploratory-analysis-zillow", "kernel_id": "271740"}, {"ref": "rakeshp/notebookaa0680cb9b", "kernel_id": "269740"}, {"ref": "bennie/tests", "kernel_id": "279631"}, {"ref": "yuqingxue/lightgbm-85-97", "kernel_id": "273675"}, {"ref": "yuqingxue/simple-lightgbm-88", "kernel_id": "269820"}, {"ref": "yuqingxue/simple-lightgbm-0-4", "kernel_id": "267858"}, {"ref": "yuqingxue/simple-lightgbm-starter", "kernel_id": "267546"}, {"ref": "yuqingxue/concise-catboost-starter-ensemble-plb-0-06435", "kernel_id": "442981"}, {"ref": "johncotter/notebook814b386939", "kernel_id": "269545"}, {"ref": "johncotter/data-exploration", "kernel_id": "269546"}, {"ref": "opanichev/lightgbm", "kernel_id": "279968"}, {"ref": "opanichev/better-baseline", "kernel_id": "266842"}, {"ref": "abhisheknagarjuna/notebook93de50713e", "kernel_id": "266492"}, {"ref": "yesemsanthoshkumar/simple-exploration", "kernel_id": "267347"}, {"ref": "powerstat2013/simple-lightgbm-4", "kernel_id": "269364"}, {"ref": "atchir/zillow-data-understanding", "kernel_id": "266827"}, {"ref": "wti200/kolmogorov-smirnov-test-train-vs-test-r", "kernel_id": "306062"}, {"ref": "wti200/xgboost-with-custom-mae-r", "kernel_id": "301901"}, {"ref": "kgjkgj/load-and-summary", "kernel_id": "266475"}, {"ref": "rsmatlab/simple-xgboost-starter-0-0655", "kernel_id": "266925"}, {"ref": "gauravdhama11/simple-xgboost-starter-0-0655", "kernel_id": "342343"}, {"ref": "bguberfain/dumb-keras-starter", "kernel_id": "267630"}, {"ref": "evanmiller/pipelines-gridsearch-awesome-ml-pipelines", "kernel_id": "371073"}, {"ref": "nvishnuprasad/notebook2bdf8e4b7a", "kernel_id": "267391"}, {"ref": "mikedelong/zillow-ensemble-of-regressors-0-065-71b51d", "kernel_id": "337882"}, {"ref": "marklally/exploratory-analysis-zillow", "kernel_id": "278152"}, {"ref": "smargs/pushkarini-starter", "kernel_id": "289001"}, {"ref": "scirpus/genetic-programming-lb-0-0643904", "kernel_id": "350866"}, {"ref": "emilkayumov/notebook86f494163f", "kernel_id": "276560"}, {"ref": "tomgrek/dumb-keras-starter", "kernel_id": "267064"}, {"ref": "sorenravn/trying-lightgbm", "kernel_id": "279122"}, {"ref": "navneethc/notebook6ad22e2185", "kernel_id": "267514"}, {"ref": "branyang/zillow-exploration", "kernel_id": "268860"}, {"ref": "carloshuertas/lgbm-diff", "kernel_id": "272354"}, {"ref": "carloshuertas/novalid", "kernel_id": "272363"}, {"ref": "carloshuertas/letsoverfit", "kernel_id": "273798"}, {"ref": "zurman/exploratory-analysis-zillow", "kernel_id": "267037"}, {"ref": "xscripter/lgbm-test-01", "kernel_id": "277220"}, {"ref": "sjfcannon/zillowscratchwork", "kernel_id": "273810"}, {"ref": "connexia/my-own-first-py", "kernel_id": "267461"}, {"ref": "rashmi4261/notebook8a113c44a2", "kernel_id": "266692"}, {"ref": "paolof89/notebookeceec98a5f", "kernel_id": "272138"}, {"ref": "zhugds/simple-lightgbm-starter-lb-0-06487", "kernel_id": "267418"}, {"ref": "kuangweizhang/notebookbada68712e", "kernel_id": "279226"}, {"ref": "murphyc/notebooka5234e20c2", "kernel_id": "275660"}, {"ref": "satadru5/zillow-xgb", "kernel_id": "289310"}, {"ref": "satadru5/notebook8a7b06b29b", "kernel_id": "277521"}, {"ref": "inverse1/testzil", "kernel_id": "268999"}, {"ref": "inverse1/takeitizi", "kernel_id": "269094"}, {"ref": "jamesmcguigan/exploratory-data-analysis-zillow-dataset", "kernel_id": "270599"}, {"ref": "bluebonnettx/zestimate-playground", "kernel_id": "266694"}, {"ref": "datajedai/notebook7edba446e3", "kernel_id": "267701"}, {"ref": "datajedai/notebook36c04a47f4", "kernel_id": "267776"}, {"ref": "lauracozma/eda-data-cleaning-feature-engineering", "kernel_id": "346356"}, {"ref": "pratiksen/base-line-model-for-zillow-dataset", "kernel_id": "274973"}, {"ref": "sylviasun/explore", "kernel_id": "267250"}, {"ref": "sylviasun/test1", "kernel_id": "267252"}, {"ref": "wmmthu/test-analysis", "kernel_id": "274764"}, {"ref": "puzzler10/python-away", "kernel_id": "275537"}, {"ref": "puzzler10/notebook0a40489ba5", "kernel_id": "273807"}, {"ref": "andyle/simple-lightgbm-starter-lb-0-06487", "kernel_id": "407361"}, {"ref": "vanausloos/simple-xgboost-starter-0-0655", "kernel_id": "281680"}, {"ref": "midinas/zillow-eda-on-missing-values-multicollinearity", "kernel_id": "285467"}, {"ref": "ppandcc/notebooka8f2886ffb", "kernel_id": "394968"}, {"ref": "syednasar/z-archived-eda-notebook-zillow", "kernel_id": "279893"}, {"ref": "syednasar/xg-boost-starter-zillow", "kernel_id": "286145"}, {"ref": "nathanlim45/zillow-data-exploration", "kernel_id": "267367"}, {"ref": "neviadomski/zillow-s-home-value-exploratory-data-analysis", "kernel_id": "326782"}, {"ref": "chanchan/notebookac3d8b2d6b", "kernel_id": "268947"}, {"ref": "jutian/exploratory-analysis-zillow", "kernel_id": "273939"}, {"ref": "bbuluttekin/data-eda", "kernel_id": "268388"}, {"ref": "divyarajkmr/notebookb8fb2b8756", "kernel_id": "268877"}, {"ref": "justinqtaylor/zillowtest", "kernel_id": "269955"}, {"ref": "xvliuhot/exploration-from-srk", "kernel_id": "269549"}, {"ref": "xvliuhot/ziltest", "kernel_id": "275619"}, {"ref": "xvliuhot/notebookccaa700f06", "kernel_id": "275303"}, {"ref": "ucfilho/neural-network-first", "kernel_id": "276420"}, {"ref": "ucfilho/zillow-understanding-dataset", "kernel_id": "273032"}, {"ref": "ucfilho/zillow-exploring-data", "kernel_id": "272958"}, {"ref": "rinalin/zillow-price-prediction-eda", "kernel_id": "267603"}, {"ref": "rinalin/notebook519b385d03", "kernel_id": "271664"}, {"ref": "rinalin/notebook932bbb5163", "kernel_id": "271665"}, {"ref": "nehz88/trying-lightgbm", "kernel_id": "273636"}, {"ref": "guolinke/simple-lightgbm-starter-lb-0-06487", "kernel_id": "267133"}, {"ref": "wangsg/zillow-eda", "kernel_id": "329650"}, {"ref": "wangsg/ensemble-stacking-lb-0-6436", "kernel_id": "371019"}, {"ref": "ksayantani/starter-script", "kernel_id": "279069"}, {"ref": "xenomorph/notebook555830e1ee", "kernel_id": "273163"}, {"ref": "haritha96/notebook0ac2f9e581", "kernel_id": "276625"}, {"ref": "pafrantz/notebookf6de75257c", "kernel_id": "280068"}, {"ref": "pafrantz/in-r-simple-lightgbm-starter-lb-0-0650600", "kernel_id": "280082"}, {"ref": "pafrantz/simple-lightgbm-starter", "kernel_id": "277197"}, {"ref": "pafrantz/trying-lightgbm-test2", "kernel_id": "279151"}, {"ref": "pafrantz/notebookf3768f8220", "kernel_id": "278168"}, {"ref": "pafrantz/notebook1fb864c9c0", "kernel_id": "273441"}, {"ref": "pafrantz/notebookc5d297caf1", "kernel_id": "271418"}, {"ref": "pafrantz/notebook6dddbab576", "kernel_id": "270963"}, {"ref": "fangxiaofang/zillow-s-home-value-prediction", "kernel_id": "267474"}, {"ref": "captcalculator/getting-started-with-r-and-xgboost", "kernel_id": "274579"}, {"ref": "captcalculator/a-very-extensive-zillow-exploratory-analysis", "kernel_id": "266937"}, {"ref": "eeeeee/explore-kernel", "kernel_id": "267928"}, {"ref": "apatnaik22/notebook8701a8d857", "kernel_id": "269110"}, {"ref": "yogeshsinghrbt/test899", "kernel_id": "267478"}, {"ref": "yogeshsinghrbt/lightgbm", "kernel_id": "267442"}, {"ref": "drzoltar/simple-lightgbm-starter-lb-0-06487", "kernel_id": "274866"}, {"ref": "fernandoramacciotti/exploring", "kernel_id": "268409"}, {"ref": "fernandoramacciotti/correlations", "kernel_id": "375060"}, {"ref": "pramud/myfirstscript", "kernel_id": "270498"}, {"ref": "pramud/notebookc9b2635db3", "kernel_id": "270499"}, {"ref": "shauryashubham/eda-with-python", "kernel_id": "279705"}, {"ref": "kruan8/notebook706b560f0f", "kernel_id": "278252"}, {"ref": "fpajot/notebookc1e84a7203", "kernel_id": "267174"}, {"ref": "fpajot/baseline-model-lgb-without-outliers", "kernel_id": "268434"}, {"ref": "fpajot/baseline-script", "kernel_id": "268391"}, {"ref": "brassmonkey381/simple-lightgbm-starter-lb-0-06487", "kernel_id": "267835"}, {"ref": "jyonkov/exploratory-analysis-zillow", "kernel_id": "271791"}, {"ref": "matekm/notebookc2eae7edd2", "kernel_id": "267572"}, {"ref": "matekm/notebookcf23a557f6", "kernel_id": "267576"}, {"ref": "tunguz/trying-lightgbm-ftw", "kernel_id": "278126"}, {"ref": "tunguz/simple-lightgbm-4", "kernel_id": "269069"}, {"ref": "vivek4/data-exploration1", "kernel_id": "268765"}, {"ref": "rahulvks/extratreesregressor-python", "kernel_id": "268051"}, {"ref": "millerintllc/simple-lightgbm-starter-lb-0-06487", "kernel_id": "267815"}, {"ref": "millerintllc/eda-of-repeated-parcels-w-matched-pair-analysis", "kernel_id": "270839"}, {"ref": "millerintllc/simple-lightgbm-4", "kernel_id": "270890"}, {"ref": "malctaylor15/simple-exploration-notebook-zillow-prize", "kernel_id": "275201"}, {"ref": "gillesa/zillow-eda-on-missing-values-multicollinearity", "kernel_id": "294965"}, {"ref": "zakuka/dataframe-memory-use-reduction", "kernel_id": "379372"}, {"ref": "elpidiofilho/simple-lightgbm-4-2", "kernel_id": "269508"}, {"ref": "elpidiofilho/simple-lightgbm-starter-lb-0-06487-3", "kernel_id": "268734"}, {"ref": "elpidiofilho/tttyyy", "kernel_id": "275527"}, {"ref": "elpidiofilho/simple-lightgbm-starter-lb-0-06487-22", "kernel_id": "275496"}, {"ref": "elpidiofilho/lightgbm-85-96", "kernel_id": "274532"}, {"ref": "elpidiofilho/xgboost-kernel", "kernel_id": "272797"}, {"ref": "dataer/eda-prelim", "kernel_id": "297925"}, {"ref": "tplandow/notebookfe15b1c516", "kernel_id": "272837"}, {"ref": "cfriel/tttyyy", "kernel_id": "277218"}, {"ref": "jayatou/data-exploration", "kernel_id": "364810"}, {"ref": "ambabazi/best-data-science-team", "kernel_id": "359066"}, {"ref": "klubow/fireplace", "kernel_id": "287725"}, {"ref": "danieleewww/xgboost-without-outliers-lb-0-06463", "kernel_id": "298964"}, {"ref": "danieleewww/xgb-w-o-outliers-lgb-with-outliers-combo-tune1", "kernel_id": "304112"}, {"ref": "danieleewww/xgboost-ensemble-in-h2o-lb-0-0666", "kernel_id": "302609"}, {"ref": "danieleewww/xgb-w-o-outliers-lgb-with-outliers-combined", "kernel_id": "301578"}, {"ref": "danieleewww/xgb-w-o-outliers-lgb-with-outliers-combined-1", "kernel_id": "309210"}, {"ref": "danieleewww/predicting-znoise-with-xgboost-in-r", "kernel_id": "306429"}, {"ref": "danieleewww/xgboost-lightgbm-and-olsv38-drop-zv-features", "kernel_id": "319810"}, {"ref": "danieleewww/xgboost-lightgbm-and-olsv37", "kernel_id": "320937"}, {"ref": "danieleewww/xgboost-lightgbm-and-olsv66", "kernel_id": "323051"}, {"ref": "danieleewww/xgboost-lightgbm-and-olsv21", "kernel_id": "314394"}, {"ref": "danieleewww/xgboost-lightgbm-and-ols-1", "kernel_id": "314299"}, {"ref": "danieleewww/xgb-w-o-outliers-lgb-with-outliers-combo-tune5", "kernel_id": "311083"}, {"ref": "danieleewww/xgb-w-o-outliers-lgb-with-outliers-combined4", "kernel_id": "311087"}, {"ref": "danieleewww/xgb-w-o-outliers-lgb-with-outliers-combined-3", "kernel_id": "310193"}, {"ref": "danieleewww/xgb-w-o-outliers-lgb-with-outliers-combined2", "kernel_id": "310107"}, {"ref": "danieleewww/andyharless-v60-drop-zv-for-both-models", "kernel_id": "312887"}, {"ref": "danieleewww/xgb-w-o-outliers-lgb-with-outliers-combo-tune6", "kernel_id": "313485"}, {"ref": "danieleewww/xgboost-lightgbm-and-ols", "kernel_id": "313962"}, {"ref": "danieleewww/cleaning", "kernel_id": "333047"}, {"ref": "danieleewww/cleaning-210c58", "kernel_id": "333063"}, {"ref": "danieleewww/ann-using-keras", "kernel_id": "333076"}, {"ref": "danieleewww/cleaning-0ec7b4", "kernel_id": "333135"}, {"ref": "danieleewww/local-cv-ensemble-explorer-2", "kernel_id": "333096"}, {"ref": "danieleewww/xgboost-lightgbm-and-olsv98", "kernel_id": "329696"}, {"ref": "danieleewww/xgboost-lightgbm-and-olsv96", "kernel_id": "328878"}, {"ref": "danieleewww/xgboost-lightgbm-and-olsv107-w-month-features", "kernel_id": "330768"}, {"ref": "danieleewww/xgboost-lightgbm-and-olsv95", "kernel_id": "328785"}, {"ref": "danieleewww/cv-4thq-based-on-xgboost-lightgbm-and-ols-2", "kernel_id": "345977"}, {"ref": "danieleewww/cv-4thq-based-on-xgboost-lightgbm-and-ols-1", "kernel_id": "342402"}, {"ref": "danieleewww/randomize-transactiondate-for-prediction", "kernel_id": "358400"}, {"ref": "danieleewww/lightgbm-test-lb-0-064", "kernel_id": "357850"}, {"ref": "danieleewww/xgboost-ensemble-in-h2o-w-ahv107-para", "kernel_id": "350746"}, {"ref": "danieleewww/creating-additional-features", "kernel_id": "349744"}, {"ref": "danieleewww/creating-additional-features-8a8c66", "kernel_id": "349747"}, {"ref": "danieleewww/genetic-programming-for-2017q4-prediction", "kernel_id": "384887"}, {"ref": "danieleewww/primer-for-the-zillow-pred-approach", "kernel_id": "267855"}, {"ref": "psnallam/notebook483dc724f7", "kernel_id": "273635"}, {"ref": "psnallam/simple-exploration-notebook-zillow-prize-28d25d", "kernel_id": "276028"}, {"ref": "isaacmg/simple-xgboost-starter-0-0655", "kernel_id": "267012"}, {"ref": "ireneche/notebook756da9d289", "kernel_id": "270584"}, {"ref": "jbcollins4/spatial-autocorrelation-in-zillow-residuals-v1", "kernel_id": "346620"}, {"ref": "jbcollins4/empty-notebook", "kernel_id": "287359"}, {"ref": "fmassoud/my-lightgbm", "kernel_id": "276283"}, {"ref": "juadaillehast/in-r-simple-lightgbm-starter-lb-0-0650600", "kernel_id": "268604"}, {"ref": "jadhavad/zillow-trial4-lightgbm", "kernel_id": "267941"}, {"ref": "heavenduke/starter-script", "kernel_id": "278903"}, {"ref": "tumbzilla/notebook65aa8a6850", "kernel_id": "267507"}, {"ref": "rteja1113/log-errors-of-nearest-neighbors-and-some-eda", "kernel_id": "360848"}, {"ref": "sihanding/gbm-method-with-score-0-0647724", "kernel_id": "345511"}, {"ref": "ishaanv/notebook27aa9d6b9e", "kernel_id": "276729"}, {"ref": "kgertz/simple-xgboost-starter-0-0655", "kernel_id": "278070"}, {"ref": "iamprakashom/beginner-xgboost", "kernel_id": "374444"}, {"ref": "anokas/simple-xgboost-starter-0-0655", "kernel_id": "266572"}, {"ref": "evanwang1028/trying-lightgbm", "kernel_id": "279106"}, {"ref": "nmucia/first", "kernel_id": "476952"}, {"ref": "armanjupriya/notebook4402f0d9d5", "kernel_id": "267009"}, {"ref": "xxing9703/kmean-clustering-of-latitude-and-longitude", "kernel_id": "308023"}, {"ref": "xxing9703/repetitive-monthly-trend-in-training-data", "kernel_id": "393259"}, {"ref": "dembangom1/notebookabf7d35f9a", "kernel_id": "267304"}, {"ref": "gtrimarc/primer-for-the-zillow-pred-approach-0df71f", "kernel_id": "269852"}, {"ref": "ketulgupta/notebook0966b20d0d", "kernel_id": "267182"}, {"ref": "gurukatagi/simple-exploration-notebook-zillow-prize", "kernel_id": "279630"}, {"ref": "courivar/first-ml-with-xgb", "kernel_id": "272143"}, {"ref": "chattob/notebook18e38b4c7d", "kernel_id": "277851"}, {"ref": "mmrosenb/zillow-eda", "kernel_id": "267582"}, {"ref": "danielviray/data-quality-assessment-how-good-is-the-raw-data", "kernel_id": "304645"}, {"ref": "danielviray/easy-to-read-exploratory-data-analysis", "kernel_id": "315159"}, {"ref": "skhimsara/notebook94471fe281", "kernel_id": "267018"}, {"ref": "skhimsara/eda-on-the-zillow-property-data", "kernel_id": "267019"}, {"ref": "jamescarrillo/real-estate-side-gig", "kernel_id": "279249"}, {"ref": "sekrier/zillow-starter", "kernel_id": "266721"}, {"ref": "jypucca/zillow-data-visualization", "kernel_id": "334820"}, {"ref": "manishrai/pca-gbrt", "kernel_id": "348494"}, {"ref": "scottsfarley/notebookab16184810", "kernel_id": "266441"}, {"ref": "talcapa/simple-xgboost-with-linear-model-in-r", "kernel_id": "316666"}, {"ref": "jihyeseo/home-value-predict-regression", "kernel_id": "958614"}, {"ref": "olzhas23/xgboost-lightgbm-and-ols", "kernel_id": "317133"}, {"ref": "soumyajitdas/simple-xgboost-starter-0-0655", "kernel_id": "292845"}, {"ref": "ducnh1022/srk-vivek-srinivasan-eda", "kernel_id": "271804"}, {"ref": "arjunvekariya/notebooke2050c87b1", "kernel_id": "266889"}, {"ref": "gweijie/trying-lightgbm-ftw", "kernel_id": "278508"}, {"ref": "charvi/zillow-home-value-prediction", "kernel_id": "524549"}, {"ref": "zusmani/baseline-lb-0-0648950", "kernel_id": "374495"}, {"ref": "zusmani/simple-lgbm-model-lb-0-064404", "kernel_id": "364440"}, {"ref": "zusmani/scrpt", "kernel_id": "364504"}, {"ref": "zusmani/boosted-trees-lb-0-0643707", "kernel_id": "366211"}, {"ref": "zusmani/zillow-prize-a-novice-kickstarter-sourcecode", "kernel_id": "354601"}, {"ref": "zgcgreat/notebookc34b48c584", "kernel_id": "269737"}, {"ref": "abdelwahedassklou/only-cat-boost-lb-0-0641-939", "kernel_id": "393986"}, {"ref": "kstory/notebookdf400e5018", "kernel_id": "266845"}, {"ref": "richie31/zillow-richie", "kernel_id": "340719"}, {"ref": "thornhale/data-exploration-experiment-w-graphing-packages", "kernel_id": "291795"}, {"ref": "thornhale/data-exploration-visualizations-experiments", "kernel_id": "291802"}, {"ref": "informprakash/feature-exploration-zillow", "kernel_id": "277700"}, {"ref": "testimate/simple-lightgbm-starter-lb-0-06487", "kernel_id": "267649"}, {"ref": "jeffzj/exploratory-analysis-zillow", "kernel_id": "339988"}, {"ref": "jstoppa/zillow-analysis", "kernel_id": "273803"}, {"ref": "senorcampos/simple-lightgbm", "kernel_id": "269351"}, {"ref": "senorcampos/simple-lightgbm-4", "kernel_id": "269387"}, {"ref": "yinjianhong/simple-lightgbm-starter-lb-0-064855", "kernel_id": "267856"}, {"ref": "vidhyainkaggle/fill-missing-data", "kernel_id": "378061"}, {"ref": "aevinq/notebook4822a6b498", "kernel_id": "267017"}, {"ref": "aevinq/notebookc24837a998", "kernel_id": "305620"}, {"ref": "x22shao/simple-lightgbm", "kernel_id": "268014"}, {"ref": "x22shao/wut-xshao", "kernel_id": "268894"}, {"ref": "x22shao/simple-lightgbm-4", "kernel_id": "269435"}, {"ref": "vinwang/exploratory-analysis-zillow", "kernel_id": "274761"}, {"ref": "cjansen/xgboost-without-outliers-edited-lb-0-0646300", "kernel_id": "299142"}, {"ref": "rounakmehta/zillow-quick-start", "kernel_id": "270850"}, {"ref": "robikscube/lets-explore-the-zillow-data", "kernel_id": "270027"}, {"ref": "kabeems/zillow-using-catboost", "kernel_id": "396582"}, {"ref": "craigwang/notebook11da98c389", "kernel_id": "270643"}, {"ref": "craigwang/zillow-price-error", "kernel_id": "270646"}, {"ref": "craigwang/zillow-price-starter", "kernel_id": "270648"}, {"ref": "larryzh/exploratory-analysis-zillow", "kernel_id": "271606"}, {"ref": "akshaykumarvikram/zillow-prize-exploratory-analysis-and-ml", "kernel_id": "380300"}, {"ref": "zhou11/zillow-eda-opportunities-for-feature-engineering", "kernel_id": "278390"}, {"ref": "zhou11/eda-1", "kernel_id": "277812"}, {"ref": "xchiron/notebook3a2bb6d900", "kernel_id": "267805"}, {"ref": "michaelblais/exploratory-analysis-zillow", "kernel_id": "268399"}, {"ref": "paul91v/notebooke6aeb7dcfe", "kernel_id": "268346"}, {"ref": "arjanso/simple-starter-randomforest-regressor", "kernel_id": "302908"}, {"ref": "arjanso/reducing-dataframe-memory-size-by-65", "kernel_id": "305329"}, {"ref": "arjanso/kernel-density-estimation-for-predicting-logerror", "kernel_id": "366730"}, {"ref": "alijs1/simple-lightgbm-starter-lb-0-06487", "kernel_id": "267726"}, {"ref": "zhaoyucai/zestimate", "kernel_id": "404758"}, {"ref": "zhaoyucai/lck-3", "kernel_id": "373902"}, {"ref": "maogcnu/first-tiral-gm", "kernel_id": "269484"}, {"ref": "mysalt/yy-simple-exploration-notebook-zillow-prize", "kernel_id": "267933"}, {"ref": "ahmedhindi/notebookc30a53d17e", "kernel_id": "266833"}, {"ref": "zaverichintan/simple-xgboost-starter-0-0655", "kernel_id": "340662"}, {"ref": "chinese007/notebook9a699a5018", "kernel_id": "277130"}, {"ref": "tinmantapestry/notebook7926b8bb10", "kernel_id": "266526"}, {"ref": "marymaryqc/notebook9521ef483a", "kernel_id": "269177"}, {"ref": "sidharthkumar/xgb-for-zillow", "kernel_id": "267248"}, {"ref": "sidharthkumar/trying-lightgbm", "kernel_id": "273160"}, {"ref": "kapil0187/zillow-zestimate-study", "kernel_id": "279332"}, {"ref": "zckly133/notebookc13a22839b", "kernel_id": "268601"}, {"ref": "neilnitin/my-own-script-zillow", "kernel_id": "379476"}, {"ref": "neilnitin/using-xgboost", "kernel_id": "379639"}, {"ref": "nikunjm88/carefully-dealing-with-missing-values", "kernel_id": "363673"}, {"ref": "nikunjm88/creating-additional-features", "kernel_id": "321210"}, {"ref": "ashwingopu/notebook0429c36ba7", "kernel_id": "273291"}, {"ref": "jeremymaurer/exploratory-analysis-zillow", "kernel_id": "268013"}, {"ref": "pranjalyadav/first-kernel-on-kaggle-trying-deep-learning", "kernel_id": "353608"}, {"ref": "hadi86/predict-zestimate-error", "kernel_id": "378855"}, {"ref": "rochachan/better-baseline-lb-0-06530", "kernel_id": "267922"}, {"ref": "rochachan/zillow-housing-feature-eda", "kernel_id": "268843"}, {"ref": "rochachan/zillow-eda-opportunities-for-feature-engineering", "kernel_id": "307825"}, {"ref": "lizhili/another-trying-lightgbm", "kernel_id": "283803"}, {"ref": "dhruvesh/r-script", "kernel_id": "306335"}, {"ref": "dhruvesh/zestimate-for-zillow", "kernel_id": "306583"}, {"ref": "davidfumo/lgb-starter-forked", "kernel_id": "278154"}, {"ref": "davidfumo/light-gbm-starter", "kernel_id": "278160"}, {"ref": "davidfumo/boosted-trees-lb-0-0643707", "kernel_id": "321645"}, {"ref": "marytj/zillow-analysis-random-forest", "kernel_id": "381852"}, {"ref": "ayushmandey/notebook9bf54c7824", "kernel_id": "271081"}, {"ref": "camnugent/randomforest-for-integration-in-a-mixed-model", "kernel_id": "353918"}, {"ref": "seesee/concise-catboost-starter-ensemble-plb-0-06435", "kernel_id": "379095"}, {"ref": "sattia/notebook1e84b21119", "kernel_id": "270696"}, {"ref": "sattia/my-first-kernel-on-kaggle", "kernel_id": "268054"}, {"ref": "rapriyesid/zestimate-starter-from-a-noob-s-perspective", "kernel_id": "306026"}, {"ref": "kay2mj/simple-xgboost-random-forest-extra-tree", "kernel_id": "316240"}, {"ref": "ommirandap/notebook2cbf2a0ad7", "kernel_id": "267583"}, {"ref": "susheelg5/blast", "kernel_id": "267050"}, {"ref": "jeru666/zillow-revamped-with-memory-reduction", "kernel_id": "330113"}, {"ref": "hlo415/zillow-dataset-ids594-v2", "kernel_id": "386621"}, {"ref": "hlo415/zillow-dataset", "kernel_id": "371422"}, {"ref": "hlo415/testing-2", "kernel_id": "394508"}, {"ref": "coyawa/learn-by-doing-p1-data-exploratory-analysis-v0-1", "kernel_id": "267803"}, {"ref": "yangzhenhui/exploratory-analysis-zillow", "kernel_id": "268453"}, {"ref": "dmiller/zestimate-analysis", "kernel_id": "251107"}, {"ref": "slamnz/zillow-scrapbook", "kernel_id": "271311"}, {"ref": "keberwein/r-gbm-primer-in-parallel-0-0654374", "kernel_id": "269361"}, {"ref": "xevaquor/xdddddd", "kernel_id": "274423"}, {"ref": "robertoruiz/xgb-starter-in-r-0-06451", "kernel_id": "326136"}, {"ref": "robertoruiz/an-historical-approach", "kernel_id": "326489"}, {"ref": "robertoruiz/cv-4thq-based-on-xgboost-lightgbm-and-ols", "kernel_id": "330209"}, {"ref": "shivampanchal/r-gbm-primer-in-parallel-0-0654374", "kernel_id": "269950"}, {"ref": "rchitic17/ziller-logerror-estimation", "kernel_id": "747289"}, {"ref": "nathanzhang3/zillow-home-value-prediction", "kernel_id": "436739"}, {"ref": "sriharshabs/simple-linear-regression-in-r-0-0648835", "kernel_id": "346824"}, {"ref": "sachinvy/zillow-prediction", "kernel_id": "300782"}, {"ref": "francescodesimone/light-gbm-starter", "kernel_id": "277847"}, {"ref": "francescodesimone/data-exploration-first-look", "kernel_id": "270723"}, {"ref": "francescodesimone/notebookfd0f985741", "kernel_id": "266553"}, {"ref": "francescodesimone/pca-ica-xgboost", "kernel_id": "266464"}, {"ref": "toorkp/zillow-data-exploration", "kernel_id": "272560"}, {"ref": "atyamsriharsha/basic-analysis", "kernel_id": "269524"}, {"ref": "saeedt2977/tttyyy", "kernel_id": "275849"}, {"ref": "patett/exploratory-analysis-zillow", "kernel_id": "267604"}, {"ref": "darrellulm/simple-xgboost-starter-0-0655", "kernel_id": "266949"}, {"ref": "darrellulm/exploratory-analysis-zillow-another-test-run", "kernel_id": "266628"}, {"ref": "darrellulm/genetic-programming-test-run", "kernel_id": "351269"}, {"ref": "darrellulm/genetic-programming-test-run-2", "kernel_id": "351272"}, {"ref": "darrellulm/python-starter-yet-another-test", "kernel_id": "402052"}, {"ref": "gshevchuk/testing-notebook-for-zillow-estimates", "kernel_id": "267075"}, {"ref": "gihanu/notebooke574f1daf2", "kernel_id": "267656"}, {"ref": "ryanct/zillow-intro-analysis", "kernel_id": "268189"}, {"ref": "florandomforest/zexploration-of-all-58-features", "kernel_id": "282201"}, {"ref": "yanivh/zillow-exploration", "kernel_id": "268046"}, {"ref": "jeromewilliams/notebook1bf6deea33", "kernel_id": "267829"}, {"ref": "nathansparks/zillow-home-predition", "kernel_id": "270908"}, {"ref": "nasrullah/exploratory-analysis-for-zillow", "kernel_id": "345167"}, {"ref": "alexhecn/simple-xgboost-after-paras", "kernel_id": "274121"}, {"ref": "hemingchenmsba/notebook7fe26728ff", "kernel_id": "272686"}, {"ref": "vigilanf/notebookc594c255cc", "kernel_id": "267619"}, {"ref": "vigilanf/zillow-eda", "kernel_id": "266953"}, {"ref": "lesibius/zillow-discovery", "kernel_id": "272100"}, {"ref": "diptavo/notebook1bef3786c5", "kernel_id": "267564"}, {"ref": "dspider/hello-kaggle", "kernel_id": "267217"}, {"ref": "dspider/hello-zillow", "kernel_id": "267219"}, {"ref": "tomkwong/explore-zillow-data", "kernel_id": "269255"}, {"ref": "dkelleher/eda-notebook-for-logerror-outliers", "kernel_id": "278363"}, {"ref": "imaginebruteforce/zillow", "kernel_id": "268997"}, {"ref": "vinsvins/notebook951859552b", "kernel_id": "273200"}, {"ref": "sifar12/boosted-trees-lb-0-0643707", "kernel_id": "370406"}, {"ref": "jmbull/local-cv-ensemble-explorer-2", "kernel_id": "302180"}, {"ref": "jmbull/local-cv-explorer", "kernel_id": "300530"}, {"ref": "jmbull/kerasr-with-tf-help", "kernel_id": "335665"}, {"ref": "jmbull/boost-starter-0-0648x-lb", "kernel_id": "322579"}, {"ref": "amanarora10/hello-world", "kernel_id": "268107"}, {"ref": "olgabelitskaya/zillow-s-home-value-prediction-zestimate", "kernel_id": "330486"}, {"ref": "rmunoz/notebooke2d297a075", "kernel_id": "269183"}, {"ref": "mikekosk/anokas-xgb-starter-walkthrough", "kernel_id": "289732"}, {"ref": "mikekosk/feature-ranking-w-randomforest-rfe-linear-models", "kernel_id": "291411"}, {"ref": "impressor/zillow-prize-zillow-s-home-value-prediction", "kernel_id": "304589"}, {"ref": "shahpriyank9/with-linearregression-without-outliers", "kernel_id": "317165"}, {"ref": "akshay10/zillow-v3", "kernel_id": "303398"}, {"ref": "awantik/notebook467922bb4a", "kernel_id": "272926"}, {"ref": "awantik/notebook3a4d2cb1e3", "kernel_id": "272930"}, {"ref": "rosettast/notebookb9c826d632", "kernel_id": "274854"}, {"ref": "dmikrav/a-very-extensive-zillow-exploratory-analysis", "kernel_id": "269944"}, {"ref": "naivecharles/notebook305d42b9da", "kernel_id": "266456"}, {"ref": "naivecharles/notebook67141faa7b", "kernel_id": "266664"}, {"ref": "ajaykumarmvk0712/notebook3d434a9dad", "kernel_id": "275667"}, {"ref": "sonderella/simple-lightgbm-starter-lb-0-06487", "kernel_id": "271478"}, {"ref": "sociopath00/simple-xgboost-starter-0-0655", "kernel_id": "341597"}, {"ref": "rabaman/data-eval", "kernel_id": "273368"}, {"ref": "lakshaykc/feature-importance-using-random-forest", "kernel_id": "313231"}, {"ref": "nicapotato/univariate-and-bivariate-analysis-zillow-eda", "kernel_id": "480414"}, {"ref": "timip8/zillow-eda", "kernel_id": "268395"}, {"ref": "timip8/notebookdf5b9fa5db", "kernel_id": "271724"}, {"ref": "aharless/primer-for-the-zillow-pred-approach", "kernel_id": "269310"}, {"ref": "aharless/notebook-version-of-standard-lightgbm-kernel", "kernel_id": "269278"}, {"ref": "aharless/lightgbm-4thq-cv-with-cro-magnon-s-features", "kernel_id": "378004"}, {"ref": "aharless/xgb-w-optimized-q4-cv-fudge-factor", "kernel_id": "374579"}, {"ref": "aharless/xgboost-using-q4-for-validation-original-retuned", "kernel_id": "373737"}, {"ref": "aharless/kamil-kaczmarek-s-lgbm", "kernel_id": "374900"}, {"ref": "aharless/kk-s-lgbm-with-full-data", "kernel_id": "388789"}, {"ref": "aharless/monthly-optimal-fudge-factors-with-bias", "kernel_id": "386256"}, {"ref": "aharless/my-solution-part-iv-genetic-programming", "kernel_id": "385089"}, {"ref": "aharless/quick-try-fit-xgb-on-2016-validate-on-2017", "kernel_id": "380617"}, {"ref": "aharless/monthly-optimal-fudge-factors-for-2016-2017", "kernel_id": "383160"}, {"ref": "aharless/keras-neural-network-lb-06492", "kernel_id": "364670"}, {"ref": "aharless/xgboost-lightgbm-and-ols-and-nn", "kernel_id": "365587"}, {"ref": "aharless/keras-nn-with-q4-validation", "kernel_id": "366455"}, {"ref": "aharless/keras-nn-with-q4-cv", "kernel_id": "366461"}, {"ref": "aharless/quick-and-dirty-lad-model", "kernel_id": "394027"}, {"ref": "aharless/quick-attempt-at-catboost-validation", "kernel_id": "391128"}, {"ref": "aharless/my-solution-2nd-part-vii-2nd-xgboost-with-bug", "kernel_id": "400111"}, {"ref": "aharless/my-solution-2nd-part-viii-second-ensemble", "kernel_id": "400117"}, {"ref": "aharless/my-solution-2nd-part-vi-lad", "kernel_id": "400100"}, {"ref": "aharless/my-solution-part-v-ensemble-with-fudge-factor", "kernel_id": "400024"}, {"ref": "aharless/my-solution-part-iii-stacknet", "kernel_id": "399982"}, {"ref": "aharless/my-solution-part-ii-final-xgboost-with-bug", "kernel_id": "399676"}, {"ref": "aharless/my-solution-part-i-final-catboost-run", "kernel_id": "399667"}, {"ref": "aharless/lightgbm-excluding-outliers", "kernel_id": "292799"}, {"ref": "aharless/updated-script-version-of-the1owl-s-basic-ols", "kernel_id": "300479"}, {"ref": "aharless/lightgbm-with-outliers-remaining", "kernel_id": "300577"}, {"ref": "aharless/xgb-w-o-outliers-lgb-with-outliers-combined", "kernel_id": "301015"}, {"ref": "aharless/xgboost-without-outliers-tweak", "kernel_id": "300353"}, {"ref": "aharless/lightgbm-outliers-remaining-cv", "kernel_id": "301942"}, {"ref": "aharless/oleg-s-original-better-baseline", "kernel_id": "301968"}, {"ref": "aharless/lightgbm-baseline-for-combo", "kernel_id": "303902"}, {"ref": "aharless/combo-v52-same-code-different-result", "kernel_id": "309118"}, {"ref": "aharless/trying-to-do-k-fold-cv-on-lightgbm", "kernel_id": "305452"}, {"ref": "aharless/xgboost-using-4th-quarter-for-validation", "kernel_id": "321613"}, {"ref": "aharless/xgboost-lightgbm-and-ols", "kernel_id": "313482"}, {"ref": "jplatts/clean-data", "kernel_id": "272434"}, {"ref": "akkuluriv/simple-lightgbm-starter-lb-0-06487", "kernel_id": "273744"}, {"ref": "jiayuzhang/simple-xgboost-lb-0-647", "kernel_id": "351892"}, {"ref": "maheshak04/zillow-price-20062017-eda", "kernel_id": "290022"}, {"ref": "gw00207/catboost-xgboost-lightgbm-and-ols-0-0644060", "kernel_id": "321304"}, {"ref": "wanqwang/random-forest-decision-tree", "kernel_id": "374045"}, {"ref": "johnoliverjones/bn-solution-with-age-and-tax-lb-0-0651", "kernel_id": "368930"}, {"ref": "auroralht/restoring-the-missing-geo-data", "kernel_id": "334303"}, {"ref": "pspieker/notebook4dca49771b", "kernel_id": "267798"}, {"ref": "rfdickerson/data-exploration", "kernel_id": "266412"}, {"ref": "graymant/pytorch-regression-with-sklearn-pipelines", "kernel_id": "381229"}, {"ref": "vamsikrishnabhuvanam/new-version-of-lightgbm-with-leaves-70", "kernel_id": "268515"}, {"ref": "conorm97/zillow-prize-xgboost-with-additional-features", "kernel_id": "351800"}, {"ref": "conorm97/zillow-prize-exploration", "kernel_id": "349394"}, {"ref": "juliavb/notebook156f792b79", "kernel_id": "268702"}, {"ref": "power17/cleaning", "kernel_id": "302124"}, {"ref": "kg5284/zillow-prediction", "kernel_id": "426250"}, {"ref": "kg5284/eda-zillow-detailed", "kernel_id": "426927"}, {"ref": "manishsaraswat/notebookf1937c0f06", "kernel_id": "267046"}, {"ref": "baleal/baleal-on-zpe", "kernel_id": "289214"}, {"ref": "monkebai/notebook06b07bc8dd", "kernel_id": "456808"}, {"ref": "sebask/notebook38457a02b6", "kernel_id": "271797"}, {"ref": "rnolan/exploratory-analysis-zillow", "kernel_id": "268645"}, {"ref": "znoah123/notebook0abc716013", "kernel_id": "267155"}, {"ref": "plarmuseau/exploration", "kernel_id": "348177"}, {"ref": "brambram/notebooka138bc7c46", "kernel_id": "276682"}, {"ref": "brambram/zestimate", "kernel_id": "276670"}, {"ref": "yekenot/2-level-stacker-silver-solution", "kernel_id": "415181"}, {"ref": "pgreene/xgboost-ensemble-in-h2o-lb-0-0666", "kernel_id": "301192"}, {"ref": "prasannakshi/first-entry", "kernel_id": "266930"}, {"ref": "prasannakshi/notebookc3b1e310d2", "kernel_id": "266931"}, {"ref": "prasannakshi/mycode", "kernel_id": "266932"}, {"ref": "philippsp/exploratory-analysis-zillow", "kernel_id": "266461"}, {"ref": "athasal/zillow-first-introductory-script", "kernel_id": "312780"}, {"ref": "zhutao2050/simple-exploration-notebook-zillow-prize", "kernel_id": "267166"}, {"ref": "vk4503/notebook46fb81c2dc", "kernel_id": "267005"}, {"ref": "mi233dzc/zillow-starter", "kernel_id": "282685"}, {"ref": "xiaoyaonanjiea/notebookb228a53067", "kernel_id": "268869"}, {"ref": "ericchencth/notebook44b9ff38a0", "kernel_id": "267560"}, {"ref": "sudhirnl7/zestimate-linear-regression", "kernel_id": "366299"}, {"ref": "nikitabu/zillow-eda-opportunities-for-feature-engineering", "kernel_id": "277940"}, {"ref": "nikitabu/lightgbm", "kernel_id": "274733"}, {"ref": "nikitabu/notebook786ca83d0b", "kernel_id": "280050"}, {"ref": "heyujia/notebook50212be2ef", "kernel_id": "272954"}, {"ref": "datafleuret/notebookef5ac693ec", "kernel_id": "268727"}, {"ref": "kueipo/simple-eda-geo-data-time-series", "kernel_id": "340187"}, {"ref": "jangerhofer/notebook6d5e553f05", "kernel_id": "271597"}, {"ref": "prasunmishra/fork-of-parameter-tuning-for-xgboost-sklearn", "kernel_id": "330912"}, {"ref": "prasunmishra/parameter-tuning-for-xgboost-sklearn", "kernel_id": "330904"}, {"ref": "prasunmishra/ann-using-keras", "kernel_id": "330933"}, {"ref": "zhubaba/exploratory-analysis-zillow", "kernel_id": "341941"}, {"ref": "srini1304/zestimate-firstcut", "kernel_id": "332115"}, {"ref": "thotavvk/zillowhype", "kernel_id": "269806"}, {"ref": "cuongvn08/xgboost-cross-validation-clean-coding-lb-0-64x", "kernel_id": "376540"}, {"ref": "tvscitechtalk/zillow-test-1", "kernel_id": "383905"}, {"ref": "andyxie/exploratory-statistics-analysis-zillow", "kernel_id": "397704"}, {"ref": "vishwa23/drop-columns", "kernel_id": "307680"}, {"ref": "tostox/notebook91c30e4b85", "kernel_id": "271316"}, {"ref": "laoma023012/simple-xgboost-starter-0-0655", "kernel_id": "266975"}, {"ref": "laoma023012/ml-ensemble-scikit-learn-style-ensemble-learning", "kernel_id": "294939"}, {"ref": "mfjwr1/notebook36d8ffef26", "kernel_id": "269038"}, {"ref": "caglan/time-series-pattern-recognition-on-zillow-s-home", "kernel_id": "306848"}, {"ref": "caglan/fork-of-time-series-pattern-recognition-on-zillow", "kernel_id": "307213"}, {"ref": "vaibhavdixit02/notebook396b271c71", "kernel_id": "279734"}, {"ref": "vaibhavdixit02/noobs", "kernel_id": "268951"}, {"ref": "eaturner/simple-residual-network-implementation", "kernel_id": "365156"}, {"ref": "fitzclutchington/zillow-exploratory-analysis", "kernel_id": "270141"}, {"ref": "flennerhag/ml-ensemble-scikit-learn-style-ensemble-learning", "kernel_id": "271726"}, {"ref": "ksr102631/eda-zillow", "kernel_id": "267289"}, {"ref": "chenqiankm/zilow-data-exploration", "kernel_id": "271963"}, {"ref": "tharindraparanagama/eda-py", "kernel_id": "416387"}, {"ref": "zdwzhang/simple-comparison-between-dataset-2016-and-2017", "kernel_id": "380759"}, {"ref": "kardopaska/zillow-don-t-be-a-dick-just-make-one-file-for-us", "kernel_id": "278499"}, {"ref": "saivarunk/h20-auto-ml", "kernel_id": "371103"}, {"ref": "saivarunk/eda-on-zillow-pricing-prediction", "kernel_id": "362697"}, {"ref": "w625009392/simple-lightgbm-starter-lb-0-06487", "kernel_id": "267975"}, {"ref": "w625009392/simple-lightgbm", "kernel_id": "267992"}, {"ref": "zyajnokid/notebookc9c0e0ae0d", "kernel_id": "276499"}, {"ref": "zyajnokid/notebookd71eba3fc3", "kernel_id": "277092"}, {"ref": "zyajnokid/lightgbm", "kernel_id": "277103"}, {"ref": "zyajnokid/notebook7d4fac1b9c", "kernel_id": "273891"}, {"ref": "zyajnokid/notebook282b244eb4", "kernel_id": "275573"}, {"ref": "yuan76/simple-exploration-notebook-zillow-prize", "kernel_id": "266904"}, {"ref": "kapilnandwana/simple-xgboost-starter-0-0655", "kernel_id": "272320"}, {"ref": "kapilnandwana/knan-zillow-v12", "kernel_id": "272332"}, {"ref": "kapilnandwana/knan-v10", "kernel_id": "271411"}, {"ref": "kapilnandwana/knan-zillow-v4", "kernel_id": "269428"}, {"ref": "kapilnandwana/trying-lightgbm", "kernel_id": "277932"}, {"ref": "medabid/firstry", "kernel_id": "273721"}, {"ref": "tareqalkhatib/lazy-automated-eda", "kernel_id": "298353"}, {"ref": "prashantbhpkr/notebook0d84f291c3", "kernel_id": "266980"}, {"ref": "myacoubi/cleaning", "kernel_id": "301937"}, {"ref": "xcz011/lightggb-gridsearch", "kernel_id": "271504"}, {"ref": "xcz011/notebookeb18647b86", "kernel_id": "271431"}, {"ref": "xcz011/notebook967ea1f8c2", "kernel_id": "271584"}, {"ref": "xcz011/simple-lightgbm-starter-lb-0-06487", "kernel_id": "268600"}, {"ref": "xcz011/lightgbm-grid-search", "kernel_id": "268616"}, {"ref": "xcz011/trying-lightgbm", "kernel_id": "273645"}, {"ref": "cassiomo/simple-xgboost-starter-0-0655", "kernel_id": "266809"}, {"ref": "junhuang/notebookc090bf7d5a", "kernel_id": "266908"}, {"ref": "junhuang/notebookc9fd54a965", "kernel_id": "266910"}, {"ref": "saschneider/fresh-kagglestarter-first-notebook-wohoo", "kernel_id": "267139"}, {"ref": "anirudhk/yzgiqotm", "kernel_id": "279154"}, {"ref": "anirudhk/exploratory-analysis-zillow", "kernel_id": "279162"}, {"ref": "anirudhk/dawddadwa", "kernel_id": "279141"}, {"ref": "anirudhk/bvbncncgcnchv", "kernel_id": "279994"}, {"ref": "abhisheksharma26jan/zillowabhishek", "kernel_id": "381615"}, {"ref": "emmanuelmatthews/notebook4f519687b2", "kernel_id": "266938"}, {"ref": "alexsierkov/notebook2ae0dba487", "kernel_id": "270101"}, {"ref": "bbrandt/using-avg-for-each-landusetypeid-for-prediction", "kernel_id": "322697"}, {"ref": "guoshi28/notebook35b00ac985", "kernel_id": "275711"}, {"ref": "guoshi28/notebookfb4eb407d5", "kernel_id": "275713"}, {"ref": "guoshi28/notebookc77ee05d3d", "kernel_id": "275707"}, {"ref": "douglasbear/simple-exploration-notebook-zillow-prize", "kernel_id": "272147"}, {"ref": "zalecisco/simple-lightgbm-starter-lb-0-06", "kernel_id": "268497"}, {"ref": "zalecisco/simple-lightgbm-starter-lb-0-06487", "kernel_id": "268229"}, {"ref": "zalecisco/simple-lightgbm", "kernel_id": "268914"}, {"ref": "jrcarr/notebookdc5550c695", "kernel_id": "267454"}, {"ref": "c846296072/notebook1f3b7e9f83", "kernel_id": "268389"}, {"ref": "c846296072/notebook206c2fb218", "kernel_id": "268343"}, {"ref": "jessepeng/notebookdfc3c728b1", "kernel_id": "267254"}, {"ref": "zekangli/simple-exploration-notebook-zillow-prize", "kernel_id": "269871"}, {"ref": "alitny/initial-xgboost", "kernel_id": "307945"}, {"ref": "zseattlez/notebook45ecaa0d6a", "kernel_id": "265073"}, {"ref": "ss1991/kneighborsregressor-with-dates", "kernel_id": "357174"}, {"ref": "lauseaun/notebook50c52253cd", "kernel_id": "274861"}, {"ref": "lifehackman/simple-lightgbm-4", "kernel_id": "270909"}, {"ref": "gonerunning/notebook3e7f3a57cf", "kernel_id": "266851"}, {"ref": "joncle/notebook393941fc56", "kernel_id": "277713"}, {"ref": "asafhanish/notebook02537e8526", "kernel_id": "277312"}, {"ref": "asafhanish/exploring-zillow-data-and-labels", "kernel_id": "277295"}, {"ref": "asafhanish/zillow-label-analysis", "kernel_id": "281627"}, {"ref": "zhouhongwei/exploratoryamdxgboost11", "kernel_id": "276315"}, {"ref": "qinhui1999/xgboost-lightgbm-and-ols", "kernel_id": "315785"}, {"ref": "sanglin/notebookf1cc0a6d66", "kernel_id": "267675"}, {"ref": "freezback/exploratory-analysis-zillow", "kernel_id": "471067"}, {"ref": "yuganghu/housing-data-exploration", "kernel_id": "280831"}, {"ref": "thatsrich/zillow-contest-exploration", "kernel_id": "270560"}, {"ref": "coleenwest/exploratory-analysis-zillow", "kernel_id": "266780"}, {"ref": "dingluo1205/notebook97defa8e6d", "kernel_id": "266821"}, {"ref": "lokeshchandra/zillow1", "kernel_id": "271882"}, {"ref": "lokeshchandra/notebookd59584ff47", "kernel_id": "270081"}, {"ref": "lokeshchandra/zillow-competition-1", "kernel_id": "270083"}, {"ref": "deepakvraghavan/notebook169743b195", "kernel_id": "270165"}, {"ref": "busrafenerci/notebook4e64e8c45b", "kernel_id": "268024"}, {"ref": "busrafenerci/temp-bus", "kernel_id": "268021"}, {"ref": "busrafenerci/alisma", "kernel_id": "278719"}, {"ref": "busrafenerci/notebook4007a1ea1b", "kernel_id": "273567"}, {"ref": "vorcek/notebook326aede722", "kernel_id": "267524"}, {"ref": "doradreams/notebook226f0ad8c6", "kernel_id": "267509"}, {"ref": "doradreams/notebookfec80c0ee5", "kernel_id": "280072"}, {"ref": "bluecocoa/simple-lightgbm-starter-lb-0-06487", "kernel_id": "267640"}, {"ref": "bluecocoa/simple-lightgbm-starter-lr-0-00233", "kernel_id": "267662"}, {"ref": "nomadshark/trying-lightgbm", "kernel_id": "275566"}, {"ref": "nomadshark/test-script", "kernel_id": "275564"}, {"ref": "nomadshark/simple-xgboost-starter-0-0655", "kernel_id": "275553"}, {"ref": "guinny/notebook7dbdb5f1c2", "kernel_id": "274050"}, {"ref": "buribalazs/bb-zillow-test", "kernel_id": "268258"}, {"ref": "emdavis12/notebook8c5b6d9abd", "kernel_id": "268745"}, {"ref": "rkallam6795/notebook9633f4f623", "kernel_id": "268554"}, {"ref": "tinatya25/notebook6557cad57d", "kernel_id": "268696"}, {"ref": "deviling/notebook54a65916df", "kernel_id": "268692"}, {"ref": "cleoandczar/my-zillow-challenge", "kernel_id": "272822"}, {"ref": "rvanga/simple-exploration-notebook-zillow-prize", "kernel_id": "277954"}, {"ref": "abasu1/abasu1", "kernel_id": "270127"}, {"ref": "abasu1/notebook004c4b892c", "kernel_id": "270146"}, {"ref": "benmillerdata/notebookcce4961843", "kernel_id": "271253"}, {"ref": "stella913/exploratory-analysis-zillow", "kernel_id": "271910"}, {"ref": "ckaz02/notebook248938c63c", "kernel_id": "272254"}, {"ref": "willse2002/notebook96774a0f58", "kernel_id": "273048"}, {"ref": "infinitewing/all-0-010816-benchmark-0-0651246", "kernel_id": "284781"}, {"ref": "infinitewing/xgboost-without-outliers-lb-0-06450", "kernel_id": "297958"}, {"ref": "infinitewing/xgboost-without-outliers-lb-0-064630", "kernel_id": "297942"}, {"ref": "guluguluru/notebookfe02e99270", "kernel_id": "276665"}, {"ref": "agnosticbutcurious/a-very-extensive-zillow-exploratory-analysis", "kernel_id": "273739"}, {"ref": "danbiegel/exploratory-analysis-amd-xgboost", "kernel_id": "274022"}, {"ref": "sunbydw/zillow-py", "kernel_id": "276272"}, {"ref": "yuxuancheng/trying-lightgbm", "kernel_id": "275867"}, {"ref": "lakshmiprakashr/exploratory-analysis-zillow", "kernel_id": "280856"}, {"ref": "yangjliu/datatest", "kernel_id": "277187"}, {"ref": "abrown004/select-k-best-features", "kernel_id": "279195"}, {"ref": "abrown004/zillow-xgboost-classifier", "kernel_id": "339575"}, {"ref": "miketravis/notebook2dd99a83fe", "kernel_id": "277308"}, {"ref": "bamboovir/zillow", "kernel_id": "280927"}, {"ref": "rezwan07/exploratory-analysis-zillow", "kernel_id": "280038"}, {"ref": "miguelferia/food-bought-by-aisle", "kernel_id": "280623"}, {"ref": "trisss/brief-overview", "kernel_id": "340872"}, {"ref": "sangnaidarshan22/xgboost-2017-py", "kernel_id": "383236"}, {"ref": "fulldecent/show-geography", "kernel_id": "338705"}, {"ref": "zippogo/notebook6bb0e8f079", "kernel_id": "385034"}, {"ref": "yakolle/analyse-the-differences-between-2016-and-2017", "kernel_id": "382355"}, {"ref": "rserban/datawitness-zillowprice-01", "kernel_id": "354992"}, {"ref": "djhavera/fork-of-pipeline-grid-search-rf-starter-code", "kernel_id": "377109"}, {"ref": "iamprateek/using-lightgbm-to-predict-price", "kernel_id": "498860"}, {"ref": "shaz13/zestimate-v1-01", "kernel_id": "358588"}, {"ref": "stkbailey/penny-u-zillow-optimization", "kernel_id": "308352"}, {"ref": "qiwueyrtp/clean-catboost", "kernel_id": "396716"}, {"ref": "recurver/datawitness-zillowprice-01", "kernel_id": "355305"}, {"ref": "rshally/zillow-gbr-feature-importance-analysis", "kernel_id": "366143"}, {"ref": "rshally/zillow-catboost-with-2017-data", "kernel_id": "380492"}, {"ref": "voxels/simple-exploration-notebook-zillow-prize-95625a", "kernel_id": "625824"}, {"ref": "virgodata/zillow-eda-virgodata", "kernel_id": "335248"}, {"ref": "hamzaashraf/zillow-eda", "kernel_id": "334384"}, {"ref": "meganzzz/notebooke56cfbc960", "kernel_id": "326643"}, {"ref": "meganzzz/zillow-analysis", "kernel_id": "326651"}, {"ref": "jamesdhope/zillow-ensemble-of-regressors-0-065", "kernel_id": "337378"}, {"ref": "tangyaliang/first", "kernel_id": "484920"}, {"ref": "ahbon888/simple-exploration-notebook-zillow-prize", "kernel_id": "389476"}, {"ref": "ahbon888/exploratory-analysis-zillow", "kernel_id": "389495"}, {"ref": "mubashir44/simple-ann-implementation", "kernel_id": "338244"}, {"ref": "mubashir44/zillow-exploratory-analysis", "kernel_id": "348274"}, {"ref": "mubashir44/simple-ensemble-model-stacking", "kernel_id": "348289"}, {"ref": "kosiew/zillow-grid-search-cv-light-gbm-201709", "kernel_id": "368712"}, {"ref": "tarracognition/distance-feature-engineering", "kernel_id": "357619"}, {"ref": "cz920428/zillow-eda", "kernel_id": "332279"}, {"ref": "cbwell/boost-starter-0-0648x-lb-works", "kernel_id": "349706"}, {"ref": "kamilkk/no-stacking-no-lb-overfitting-0-064337", "kernel_id": "361645"}, {"ref": "youhouhou/xgboost-lightgbm-ols-nn", "kernel_id": "374042"}, {"ref": "ssjasper/notebook0316003076", "kernel_id": "395478"}, {"ref": "ssjasper/test-zillow-ver2-0", "kernel_id": "395664"}, {"ref": "marskar/random-forest-and-xgboost-feature-determination", "kernel_id": "376306"}, {"ref": "shyamalee93/zillow-data-analysis", "kernel_id": "407505"}, {"ref": "eavincent/final-code", "kernel_id": "406407"}, {"ref": "umerfarooq807/analysis11", "kernel_id": "455545"}, {"ref": "umerfarooq807/prediction-model-in-keras", "kernel_id": "463429"}, {"ref": "sydneykuhn/best-data-science-team", "kernel_id": "359067"}, {"ref": "fmfkfd/xgboost-lightgbm-nn-ols", "kernel_id": "379695"}, {"ref": "bnunes/best-data-science-team", "kernel_id": "359062"}, {"ref": "bravewolf/simple-xgboost-starter1-0-0655", "kernel_id": "361364"}, {"ref": "arkajyotisaha/analysis-of-zillow-data", "kernel_id": "363435"}, {"ref": "aashaysinghal/starter-code", "kernel_id": "368989"}, {"ref": "nooberson/keras-nn-with-q4-validation", "kernel_id": "379392"}, {"ref": "pipaliarahul9/zillow-dataset-ids594-v2", "kernel_id": "389975"}, {"ref": "and1oneluv/xgboost-lightgbm-and-ols-and-nn", "kernel_id": "382593"}, {"ref": "ohrcou/script-review", "kernel_id": "453266"}, {"ref": "yanan95/zillow-ml-hw3", "kernel_id": "569294"}, {"ref": "mughairhu/new-mugh", "kernel_id": "468741"}, {"ref": "mughairhu/new-r", "kernel_id": "468749"}, {"ref": "dhkdn9192/fork-of-zillow-prize-by-dhkim", "kernel_id": "677710"}, {"ref": "kavuri/simple-lightgbm-starter-lb-0-06487-680538", "kernel_id": "582519"}, {"ref": "amoghv/random-forest-regressor", "kernel_id": "931129"}, {"ref": "robertcowell/eda-zs", "kernel_id": "865408"}, {"ref": "maizespark/categorization-and-lightgbm-0-0657", "kernel_id": "942407"}, {"ref": "vishwassr/zillow-keras-cnn", "kernel_id": "925055"}, {"ref": "cpvirani/draft-random", "kernel_id": "929822"}, {"ref": "tjbhdata/zillow-simple-modeling", "kernel_id": "1951517"}, {"ref": "tjbhdata/zillow-exploratory-data", "kernel_id": "1937542"}, {"ref": "omorillo/wrangling-of-submission-samples-data", "kernel_id": "1570816"}, {"ref": "randomjosh/w207-finalproject-jkc-v2", "kernel_id": "2394840"}, {"ref": "mayshen/use-r-iml-package-in-zillow-home-value-prediction", "kernel_id": "2157204"}, {"ref": "pradhanmanva/zillow-housing-dataset", "kernel_id": "2840133"}, {"ref": "undrallaramesh/fork-of-simple-exploration-notebook-zillow-prize", "kernel_id": "2225334"}, {"ref": "bilguun0203/zestimate-catboost", "kernel_id": "2684375"}, {"ref": "pratyushakar/exploratory-analysis-zillow-zestimate", "kernel_id": "2723764"}, {"ref": "baranikumar/exploratory-analysis-zillow", "kernel_id": "3896796"}, {"ref": "kcloop/kernelec654c2464", "kernel_id": "3927745"}, {"ref": "xiao1987/data-cleansing-on-zillow-data", "kernel_id": "3598078"}, {"ref": "underscrew/kernel96162f9b04", "kernel_id": "3704074"}, {"ref": "mailyousufkhan/zillow", "kernel_id": "3314004"}, {"ref": "zc944376823/exploratory-analysis-zillow", "kernel_id": "3141355"}, {"ref": "rucrazia/rucrazia-s-zillow-korean", "kernel_id": "4701768"}, {"ref": "thiagoandrade/kernel-zillow", "kernel_id": "4062023"}, {"ref": "evazhang43/zillow-xgboost", "kernel_id": "5693813"}, {"ref": "wakamezake/deepgbm-experiments-zillow", "kernel_id": "5635254"}, {"ref": "shineloveyc/slope-team-zillow", "kernel_id": "5288855"}, {"ref": "binhminhs10/explore-analysis-zillow", "kernel_id": "5697840"}, {"ref": "binhminhs10/kernel-xgboost-zillow", "kernel_id": "5727367"}, {"ref": "binhminhs10/model-castboot", "kernel_id": "5890112"}, {"ref": "gipark2001/simple-exploration-notebook-zillow-prize", "kernel_id": "5307899"}, {"ref": "wakamezake/simple-lgbm-for-zillow-prize", "kernel_id": "6804380"}, {"ref": "hanfuzhao/deepgbm-script", "kernel_id": "7217351"}, {"ref": "jagannathrk/zillow-price-prediction-xgboost", "kernel_id": "8506618"}, {"ref": "xz25911/zillow-housing-price", "kernel_id": "8632319"}, {"ref": "dhkdn9192/zillow-prize-eda-to-prediction", "kernel_id": "8257666"}, {"ref": "rohandeysarkar/zillow-prize-eda-feature-engineering", "kernel_id": "8918845"}, {"ref": "coding01000/pytorch-regression-with-sklearn-pipelines", "kernel_id": "8593208"}, {"ref": "soheilhosseini/zillow-prize", "kernel_id": "8388461"}, {"ref": "krparekh24/zillow-home-price-prediction", "kernel_id": "8988878"}, {"ref": "mannafee/reducing-dataframe-memory-size-by-65", "kernel_id": "9174690"}, {"ref": "venkatmadhu/simple-exploration-notebook-zillow-prize", "kernel_id": "9074167"}, {"ref": "mohammaddilshad/exploratory-analysis-zillow", "kernel_id": "9364022"}, {"ref": "mohammaddilshad/simple-exploration-notebook-zillow-prize", "kernel_id": "9364158"}, {"ref": "manodeep/just-another-version-of-zestimate", "kernel_id": "10296516"}, {"ref": "soyounghayley/zillow-prize", "kernel_id": "10389698"}, {"ref": "harshadb/zillow-properties", "kernel_id": "10706978"}, {"ref": "elvinagammed/dealing-with-large-dfs-feather-format-x5-times", "kernel_id": "11836406"}, {"ref": "elvinagammed/deal-with-large-dfs-reduce-the-size-of-df-to-36", "kernel_id": "11836219"}, {"ref": "elvinagammed/dealing-with-large-dfs-parquet-format-x5-times", "kernel_id": "11836545"}, {"ref": "deepakk92/notebook211fdc91df", "kernel_id": "11234475"}, {"ref": "kapelini/exploratory-analysis-zillow", "kernel_id": "12866882"}, {"ref": "kapelini/notebook4603576ce9", "kernel_id": "12955717"}, {"ref": "javijj0/simple-exploration-notebook-zillow-prize", "kernel_id": "13274265"}, {"ref": "muhammadzahidkhan/zillow-prize-a-novice-kickstarter-sourcecode", "kernel_id": "14499515"}, {"ref": "muhammadzahidkhan/zillow-prize-mzk", "kernel_id": "14499633"}, {"ref": "sayyazahmad/zillow-prize-learning", "kernel_id": "14960923"}, {"ref": "hyewon328/zillow-analysis-with-eda", "kernel_id": "14297030"}, {"ref": "dennisstevanus/xgboost-preprocessing", "kernel_id": "16217087"}, {"ref": "theshikajeyaratnam/graph-masterclass-tj", "kernel_id": "16969403"}, {"ref": "rachidkarbiche/zillow-ml-models", "kernel_id": "16223277"}, {"ref": "mickaelfayeulle/zillow-xgboost-and-hyperparameter-tuning", "kernel_id": "16192266"}, {"ref": "marieds/zillow", "kernel_id": "16106623"}, {"ref": "arthurtelders/zillow-ml", "kernel_id": "16090119"}, {"ref": "arthurtelders/zillow-ml-lasso", "kernel_id": "16171934"}, {"ref": "arthurtelders/zillow-ml-xgboost", "kernel_id": "16167937"}, {"ref": "kimhyelin/zillow-prize-zillow-s-home-value-prediction-hl", "kernel_id": "19393871"}, {"ref": "yurimhwang/zillow-prize-zillow-s-home-value-prediction-yr", "kernel_id": "19509582"}, {"ref": "devanshm/zillow-end-to-end-ml-workflow-top-250-0-06416", "kernel_id": "19044304"}, {"ref": "datana500/oblzillowcornell", "kernel_id": "20847939"}, {"ref": "emphymachine/zillow-prize-simple-eda-practice-book", "kernel_id": "20342348"}, {"ref": "shayansheikhakbari/zillow", "kernel_id": "20938300"}, {"ref": "hyunhp/simple-exploration-notebook-by-srk", "kernel_id": "20802935"}, {"ref": "noey26/modeling-project", "kernel_id": "20390140"}, {"ref": "asolim/yut-zillow-project-notebook", "kernel_id": "20391646"}, {"ref": "ponsairaamv/zillow-prize-prediction-using-random-forest-and-xg", "kernel_id": "20348770"}, {"ref": "nrk72p/eda-zillow", "kernel_id": "21674773"}, {"ref": "hyunhp/simple-xgboost-starter-written-by-anokas", "kernel_id": "21133360"}, {"ref": "hyunhp/zillow-eda-on-missing-values-by-vivek", "kernel_id": "21231195"}, {"ref": "hyunhp/xgboost-lightgbm-and-ols-and-nn-by-andy", "kernel_id": "21269091"}, {"ref": "xiaoxiahao/zillow-eda", "kernel_id": "21672370"}, {"ref": "dhartish/zillow-price-linear-regression", "kernel_id": "22532470"}, {"ref": "dasarimohana/zillow-house-price-prediction-by-dasari-mohana", "kernel_id": "22344657"}, {"ref": "alikashif1994/zillow-scr", "kernel_id": "22038401"}, {"ref": "dmitrybaron/notebook8b76c59942", "kernel_id": "22340066"}, {"ref": "bazbabar/zillow-scr", "kernel_id": "23547176"}, {"ref": "zulfiqarshah/zillow-zshah", "kernel_id": "24284413"}, {"ref": "salmanurrehman/zillow-prize-zillow-s-home-value-prediction", "kernel_id": "28866295"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-linear-regression", "kernel_id": "30877457"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "somahn/xgb-w-o-outliers-lgb-with-outliers-combined", "kernel_id": "32721679"}, {"ref": "samuelhaile8/da-predictions-iris", "kernel_id": "32096574"}, {"ref": "dawsonerickson/csci470-gp13-final-project", "kernel_id": "32218448"}, {"ref": "lanceding/zillow-price-prediction-multiplelinear", "kernel_id": "32307217"}, {"ref": "sabahesaraki/image-super-resolution", "kernel_id": "35749127"}, {"ref": "dominickmartin/linear-regression", "kernel_id": "36898998"}, {"ref": "hb7shim/zillow-home-value", "kernel_id": "36784961"}, {"ref": "parthanmurali/fyp-23", "kernel_id": "37106012"}, {"ref": "zhanghhhhh/zillow", "kernel_id": "37899831"}, {"ref": "rohanthakkar2801/notebook1f569eaa0e", "kernel_id": "37423890"}, {"ref": "amitabhpriyadarshi/zillow-s-home-value-prediction-zestimate", "kernel_id": "38283577"}, {"ref": "dksdms4/simple-exploration-notebook-zillow-prize", "kernel_id": "39946378"}, {"ref": "dksdms4/simple-xgboost-starter-0-0655", "kernel_id": "39919026"}, {"ref": "jssmdata/notebook5ef51dcce2", "kernel_id": "46148896"}, {"ref": "emmanueljike/notebookfe8b730423", "kernel_id": "46149449"}, {"ref": "zacharyluscher/exploratory-analysis-zillow", "kernel_id": "51436004"}, {"ref": "e29ombhandwalkar/zillow-prize-zillow-s-home-value-prediction", "kernel_id": "53782929"}, {"ref": "tanmaypant/ml-ensemble-scikit-learn-style-ensemble-learning", "kernel_id": "53771021"}, {"ref": "rahulsmahajan/final-solution-v3", "kernel_id": "54434323"}, {"ref": "jihunhyeon/8-zillow-prize-zillow-s-home-value-prediction", "kernel_id": "54404601"}, {"ref": "csmohamedayman/tsf-numc-zillow-prize-zillow-s-home-value", "kernel_id": "55901565"}, {"ref": "vincenzopallini/zillow-prize-eda-prediction", "kernel_id": "55630393"}, {"ref": "duytrn2303/btla41681a41873", "kernel_id": "55970439"}, {"ref": "dangvuduc/btla41681", "kernel_id": "55700967"}, {"ref": "dangvuduc/btl2a41681", "kernel_id": "55990993"}, {"ref": "cardata/zillow-home-value-prediction", "kernel_id": "56485384"}, {"ref": "olmanacuaquesada/zillow-prize-zillow", "kernel_id": "56477954"}, {"ref": "xiaocc226/zillow-lgb", "kernel_id": "60410250"}, {"ref": "vishalgimhan/bi-assignment", "kernel_id": "65374804"}, {"ref": "sarathkumar2203/lazypredict", "kernel_id": "68267932"}, {"ref": "tolarteh/zillow-test1", "kernel_id": "71203934"}, {"ref": "csmohamedayman/eda-tsa-zillow-prize-zillow-s-home-value", "kernel_id": "75869937"}, {"ref": "aggelostzurtzis/optimizing-with-xgboost-linear-regression", "kernel_id": "76797455"}, {"ref": "caijunwen/notebook5eefb7aee8", "kernel_id": "84644314"}, {"ref": "yupengpei/zillow-price-home-value-prediction", "kernel_id": "91294772"}, {"ref": "kunjvadhiya/zillow-price", "kernel_id": "92998794"}, {"ref": "fyuanl/zillow-prize-liu", "kernel_id": "96814389"}, {"ref": "karya7/zillowprice", "kernel_id": "100967161"}, {"ref": "cypherflux/zestimate-info-ml", "kernel_id": "100666112"}, {"ref": "atharvav75/zillow-dataclean-eda", "kernel_id": "101280045"}, {"ref": "aparajita24/zillow-price-prediction-1", "kernel_id": "101008503"}, {"ref": "yuvika08g/housepredict", "kernel_id": "101235474"}, {"ref": "atharvav75/zillowprice-lgbm-tabnet", "kernel_id": "102373568"}]}
{"competition_id": "6666", "kernels": []}
{"competition_id": "6682", "kernels": []}
{"competition_id": "6708", "kernels": []}
{"competition_id": "6716", "kernels": []}
{"competition_id": "6727", "kernels": []}
{"competition_id": "6732", "kernels": []}
{"competition_id": "6733", "kernels": []}
{"competition_id": "6734", "kernels": []}
{"competition_id": "6736", "kernels": []}
{"competition_id": "6740", "kernels": [{"ref": "youben/flowers-classification-udacity-pytorch-challenge", "kernel_id": "1826003"}, {"ref": "youben/twitter-sentiment-analysis", "kernel_id": "1809123"}]}
{"competition_id": "6747", "kernels": []}
{"competition_id": "6751", "kernels": []}
{"competition_id": "6754", "kernels": []}
{"competition_id": "6759", "kernels": []}
{"competition_id": "6762", "kernels": []}
{"competition_id": "6764", "kernels": []}
{"competition_id": "6766", "kernels": [{"ref": "ziliwang/baseline-upsampling-balanced-softmax-regression", "kernel_id": "807552"}, {"ref": "ziliwang/nbsvm", "kernel_id": "951820"}, {"ref": "thehemen/cnn-bilstm-russian-news-classifier", "kernel_id": "3746703"}, {"ref": "vatsalsmehta/baseline-upsampling-balanced-softmax-regression", "kernel_id": "25384691"}, {"ref": "eminaliev/nbsvm", "kernel_id": "27292990"}]}
{"competition_id": "6768", "kernels": [{"ref": "konradb/prediction-framework", "kernel_id": "321256"}, {"ref": "nigelcarpenter/simple-model", "kernel_id": "310785"}, {"ref": "nigelcarpenter/page-median", "kernel_id": "310174"}, {"ref": "weizhezhang/before-knowing-how-to-read", "kernel_id": "310079"}, {"ref": "weizhezhang/before-knowing-how-to-read-traning-data", "kernel_id": "310084"}, {"ref": "mikeskim/logmean-imputation", "kernel_id": "341250"}, {"ref": "mikeskim/cheap-solution1", "kernel_id": "361919"}, {"ref": "clustifier/python-median-long-weekend", "kernel_id": "310594"}, {"ref": "clustifier/7-weeks-mode-lb-51-5", "kernel_id": "313205"}, {"ref": "clustifier/weekend-weekdays", "kernel_id": "313263"}, {"ref": "clustifier/8-weeks-median", "kernel_id": "311611"}, {"ref": "cpmpml/better-smape-for-out-of-box-l2-regression", "kernel_id": "356067"}, {"ref": "cpmpml/smape-weirdness", "kernel_id": "318487"}, {"ref": "kailex/r-one-liner-stage-2", "kernel_id": "349538"}, {"ref": "kailex/arima-with-fourier-terms", "kernel_id": "330256"}, {"ref": "kailex/time-series-with-parallel-auto-arima-and-tsclean", "kernel_id": "322091"}, {"ref": "jannesklaas/nns-on-time-series", "kernel_id": "824344"}, {"ref": "jannesklaas/time-series-eda", "kernel_id": "805868"}, {"ref": "danofer/python-integer-median-baseline-49-3", "kernel_id": "311340"}, {"ref": "triskelion/fix-csv-parser-errors", "kernel_id": "310113"}, {"ref": "triskelion/testttttt", "kernel_id": "310117"}, {"ref": "loveall/tpot-learning-of-web-performance-time-estimators", "kernel_id": "344111"}, {"ref": "loveall/smape-variants-dr-k", "kernel_id": "444321"}, {"ref": "miguelpm/ts-objects-101", "kernel_id": "326408"}, {"ref": "tagore15/analysis-for-charles-dickens-wiki-page-hits", "kernel_id": "346271"}, {"ref": "opanichev/simple-model", "kernel_id": "310641"}, {"ref": "cameron87/simple-page-name-parser-for-r", "kernel_id": "312613"}, {"ref": "shakos/google-trends-data-extension", "kernel_id": "314935"}, {"ref": "trottefox/45-0-attempt-with-non-working-days-by-country", "kernel_id": "326083"}, {"ref": "npanwar/ensemble-of-arima-model-for-wiki-pages", "kernel_id": "346728"}, {"ref": "jmirandadealmeida/augmenting-dataset-with-wikipedia-text-content", "kernel_id": "317858"}, {"ref": "chechir/weekend-flag-median-with-wiggle", "kernel_id": "326251"}, {"ref": "dongxu027/detect-kaggle-cores", "kernel_id": "344164"}, {"ref": "dongxu027/neural-network-auto-regression-parallel-run", "kernel_id": "344039"}, {"ref": "jtrotman/heatmap-plots-of-parallel-series", "kernel_id": "362935"}, {"ref": "nitinmahajan/predictive-analysis-with-different-approaches", "kernel_id": "367419"}, {"ref": "sionek/q-d-split", "kernel_id": "310162"}, {"ref": "sionek/smape-educational-version-r", "kernel_id": "315703"}, {"ref": "ic3fr0g/a-look-at-the-forecastxgb-package", "kernel_id": "361418"}, {"ref": "mohitraut/final-lstm-model", "kernel_id": "358697"}, {"ref": "captcalculator/median-benchmark-lb-52-4", "kernel_id": "323544"}, {"ref": "soutou/new-model-lb-44-6", "kernel_id": "350793"}, {"ref": "soutou/first-model-lb-46-3", "kernel_id": "313855"}, {"ref": "soutou/44-9-lb", "kernel_id": "340001"}, {"ref": "irfanazeem/web-traffic-time-series-forecast-with-4-model", "kernel_id": "361009"}, {"ref": "zoupet/predictive-analysis-with-different-approaches", "kernel_id": "326731"}, {"ref": "mkaleia/extract-features", "kernel_id": "318850"}, {"ref": "tunguz/time-series-forecast-example-with-prophet", "kernel_id": "315037"}, {"ref": "tunguz/forecast-example-w-prophet-median", "kernel_id": "315048"}, {"ref": "tunguz/7-weeks-median-gzipped-output", "kernel_id": "311729"}, {"ref": "timib1203/managing-many-models-with-tidyr-purrr-and-broom", "kernel_id": "595039"}, {"ref": "nickycan/much-faster-smape-metric-function", "kernel_id": "324783"}, {"ref": "yhaddad/forecasting-starting-kit-geneva-kaggle-dojo", "kernel_id": "547611"}, {"ref": "nithinjames/treating-as-regression-problem-145063-models", "kernel_id": "312128"}, {"ref": "aerdem4/top-50-silver-benchmark", "kernel_id": "423701"}, {"ref": "rspadim/leader-board-progression", "kernel_id": "346055"}, {"ref": "rspadim/smape-weirdness-r2-score-mse", "kernel_id": "346064"}, {"ref": "benwu232/calculate-smape-with-submission-and-solution", "kernel_id": "421005"}, {"ref": "pengyansophia/wikipedia-traffic-data-exploration", "kernel_id": "335179"}, {"ref": "greymatter8654/wikipedia-web-traffic", "kernel_id": "314178"}, {"ref": "laurae2/reversing-the-trend-1-year-earlier", "kernel_id": "360499"}, {"ref": "laurae2/missing-value-evolution-over-time", "kernel_id": "358693"}, {"ref": "laurae2/smape-r-and-c-benchmarking", "kernel_id": "312089"}, {"ref": "laurae2/r-benchmarking-smape-function-r-c", "kernel_id": "312105"}, {"ref": "sudosudoohio/forecasting-web-traffic-with-prophet-in-python", "kernel_id": "318044"}, {"ref": "paulorzp/fixing-old-key-2-csv", "kernel_id": "355862"}, {"ref": "paulorzp/one-line-solution-2nd-stage-final", "kernel_id": "347247"}, {"ref": "jihyeseo/wiki-eda-reshape-df", "kernel_id": "958140"}, {"ref": "davinnovation/copy-2016-to-2017-score-7x-x", "kernel_id": "310437"}, {"ref": "indrajit/short-data-exploration-for-desktop-mobile-data", "kernel_id": "307030"}, {"ref": "balachandareee60/time-series-with-multiple-seasonality-4-models", "kernel_id": "363501"}, {"ref": "safavieh/median-estimation-by-fibonacci-et-al-lb-44-9", "kernel_id": "348539"}, {"ref": "coyotespike/dataexploration2", "kernel_id": "327696"}, {"ref": "jeffzj/44-9-lb", "kernel_id": "340790"}, {"ref": "twistedfate13/clustering", "kernel_id": "326532"}, {"ref": "gvyshnya/parallelizing-manipulations-over-pandas-df", "kernel_id": "328362"}, {"ref": "gvyshnya/parallel-operations-over-a-pandas-df", "kernel_id": "328364"}, {"ref": "gvyshnya/simple-ma-with-days-of-week-and-holidays", "kernel_id": "327610"}, {"ref": "gvyshnya/prophet-class-wrapper", "kernel_id": "326032"}, {"ref": "pavlin/classical-dataset-extraction", "kernel_id": "341073"}, {"ref": "rajatxx/using-lstm-on-training-data", "kernel_id": "318038"}, {"ref": "springrid/outlier-detection-d", "kernel_id": "332006"}, {"ref": "springrid/prediction-prophet-movingavg-and-apple-vs-facebook", "kernel_id": "328589"}, {"ref": "wenliangtlh/data-crawling-stage-2", "kernel_id": "357188"}, {"ref": "nandys/weekend-weekdays", "kernel_id": "313574"}, {"ref": "aloisiodn/data-crawling-stage-2-encoded", "kernel_id": "359596"}, {"ref": "aloisiodn/44-9-lb-1", "kernel_id": "343236"}, {"ref": "davidfumo/page-mean-lb-65-3", "kernel_id": "310644"}, {"ref": "davidfumo/python-median", "kernel_id": "310629"}, {"ref": "jroy17/eda-for-wikipedia-traffic", "kernel_id": "317463"}, {"ref": "frednavruzov/web-traffic-basic-eda", "kernel_id": "310685"}, {"ref": "danvargg/wiki-web-traffic", "kernel_id": "333654"}, {"ref": "shellshock1911/predicting-annual-spikes-w-this-day-in-history", "kernel_id": "343381"}, {"ref": "danil328/prophet", "kernel_id": "327498"}, {"ref": "mainya/fix-wrong-key-2-csv", "kernel_id": "356760"}, {"ref": "dextrousjinx/brief-insight-on-web-traffic-time-series", "kernel_id": "310885"}, {"ref": "ashwani178/web-traffic-forecasting-exploration", "kernel_id": "340936"}, {"ref": "ashwani178/44-9-lb-1", "kernel_id": "340999"}, {"ref": "batmansachin/notebook2baebe188d", "kernel_id": "439022"}, {"ref": "asindico/wiki-traffic-data-wrangling", "kernel_id": "310334"}, {"ref": "screech/ensemble-of-arima-and-lstm-model-for-wiki-pages", "kernel_id": "340671"}, {"ref": "eshamohamed/forecasting-web-traffic-with-prophet", "kernel_id": "356416"}, {"ref": "wangjinghui/simple-notebook", "kernel_id": "346756"}, {"ref": "conorm97/prediction-using-prophet-with-us-holidays", "kernel_id": "336772"}, {"ref": "mattmcgonagle/better-smape-for-out-of-box-l2-regression", "kernel_id": "355612"}, {"ref": "raghavwolfie/notebooka46be8a7c2", "kernel_id": "406382"}, {"ref": "gopalakr/wikipedia-traffic-data-exploration", "kernel_id": "310763"}, {"ref": "markominou/prophet-simple-start", "kernel_id": "316963"}, {"ref": "markominou/vacation", "kernel_id": "316269"}, {"ref": "datafra75/beginning-web-traffic-time-series-forecasting", "kernel_id": "334921"}, {"ref": "muonneutrino/wikipedia-traffic-data-exploration", "kernel_id": "310240"}, {"ref": "muonneutrino/median-with-validation-lb-47-3", "kernel_id": "310943"}, {"ref": "ymlai87416/web-traffic-time-series-forecast-with-4-model", "kernel_id": "341634"}, {"ref": "kueipo/simple-method-lb-0-0", "kernel_id": "358692"}, {"ref": "eaturner/notebookd251bedb52", "kernel_id": "312157"}, {"ref": "louis925/model-3-weekday", "kernel_id": "323689"}, {"ref": "headsortails/wiki-traffic-forecast-exploration-wtf-eda", "kernel_id": "311616"}, {"ref": "pliptor/how-to-generate-wtf-hash-keys-in-r", "kernel_id": "324390"}, {"ref": "asuilin/smape-variants", "kernel_id": "362459"}, {"ref": "ayushi2/ar-ma-arima-wikipedia", "kernel_id": "734852"}, {"ref": "merckel/preliminary-investigation-holtwinters-arima", "kernel_id": "311797"}, {"ref": "hyong120/eshare-1", "kernel_id": "355277"}, {"ref": "arjunsurendran/using-lstm-on-training-data", "kernel_id": "316103"}, {"ref": "danielburrueco/self-learning-series-csv-read-funcions", "kernel_id": "315230"}, {"ref": "friedeks/submission-key-order-trap", "kernel_id": "325083"}, {"ref": "bamboovir/compress-the-train-data-frame-to-1-n-days", "kernel_id": "312370"}, {"ref": "sophieg/exploring-time-series-web-traffic-dataset", "kernel_id": "351008"}, {"ref": "sophieg/forecasting-wikipedia-traffic-memory-efficient", "kernel_id": "352279"}, {"ref": "sophieg/time-series-web-traffic-feature-extraction", "kernel_id": "352071"}, {"ref": "sophieg/time-series-web-traffic-basic-lm", "kernel_id": "351812"}, {"ref": "rshally/web-traffic-cross-validation-of-the-medians", "kernel_id": "358645"}, {"ref": "rshally/web-traffic-cross-valid-round-and-wk-lb-44-5", "kernel_id": "350147"}, {"ref": "attollos/time-series-forecast-example-with-prophet", "kernel_id": "312916"}, {"ref": "virgodata/wiki-traffic-forecast-exploration-virgodata", "kernel_id": "345337"}, {"ref": "jamesdhope/wiki-competition-time-series-predictor-grucell", "kernel_id": "324934"}, {"ref": "jamesdhope/wiki-page-competition-multi-series-predictor", "kernel_id": "328656"}, {"ref": "mohitguptaomg/simple-forecast-with-ar-ma-arima", "kernel_id": "733840"}, {"ref": "phy1um/we-going-big", "kernel_id": "397104"}, {"ref": "ajay1997/wiki-time-series-forcasting-using-rnn-lstm", "kernel_id": "961679"}, {"ref": "jeanimal/wiki-traffic-simple-r-time-series-plots", "kernel_id": "827923"}, {"ref": "anaderi/data-analysis-example-wikipedia-traffic-d68644", "kernel_id": "1275779"}, {"ref": "anaderi/wikipedia-traffic-data-exploration", "kernel_id": "1274190"}, {"ref": "alanovaibek/data-analysis-example-wikipedia-traffic", "kernel_id": "1274468"}, {"ref": "mtao94/wikipedia-web-traffic-eda", "kernel_id": "1676295"}, {"ref": "joaocunhads/wikipedia-data-overview", "kernel_id": "1047651"}, {"ref": "pulkitgarg33/web-traffic-predictor-arima", "kernel_id": "1179299"}, {"ref": "kaeken/time-series-forecast-example-with-prophet", "kernel_id": "1213560"}, {"ref": "lenamkhanh/nns-on-time-series", "kernel_id": "2062168"}, {"ref": "lenamkhanh/time-series-eda", "kernel_id": "2062051"}, {"ref": "gpreda/using-lstm-on-training-data", "kernel_id": "2840427"}, {"ref": "abhilashjain1993/web-traffic-forecasting", "kernel_id": "2810627"}, {"ref": "suchikeisan/wikipedia-traffic-exponential-fit", "kernel_id": "2656584"}, {"ref": "geodma/simple-time-series-exploration", "kernel_id": "4419732"}, {"ref": "ashukr/ashu-1", "kernel_id": "5264415"}, {"ref": "ronitmankad/predicting-web-traffing-using-pytorch", "kernel_id": "5249812"}, {"ref": "jrw2200/webpage-traffic-visualization-forecasting", "kernel_id": "5799483"}, {"ref": "kashish2801/web-traffic-time-series-forecasting", "kernel_id": "6683415"}, {"ref": "emolina/desafio-4-edson-molina", "kernel_id": "6518619"}, {"ref": "shemijacob/metallica-wiki-web-page-traffic-ml", "kernel_id": "6503872"}, {"ref": "shemijacob/metallica-wiki-web-page-traffic-arima", "kernel_id": "6507111"}, {"ref": "shemijacob/metallica-wiki-web-page-traffic-prophet", "kernel_id": "6471551"}, {"ref": "arifali77/forecast-future-traffic-to-wikipedia-pages", "kernel_id": "6929205"}, {"ref": "rpbenatti/dh-desafio-4-benatti", "kernel_id": "6265078"}, {"ref": "rpbenatti/dh-desafio-4-benatti-ml", "kernel_id": "6508325"}, {"ref": "dbarretos79/time-series-analysis-fbprophet", "kernel_id": "6435006"}, {"ref": "gautham11/web-traffic-prediction-baseline", "kernel_id": "7463061"}, {"ref": "mmadkour/kernel58e199657f", "kernel_id": "7977379"}, {"ref": "holoong9291/web-traffic-time-series-forecasting", "kernel_id": "7331435"}, {"ref": "arifali77/web-traffic-using-lstm-on-training-data", "kernel_id": "7091446"}, {"ref": "simonstochholm/web-traffic-forecasting", "kernel_id": "8473903"}, {"ref": "ashutosh619sudo/wikipedia-web-page-traffic-forecasting", "kernel_id": "8974026"}, {"ref": "devendratapdia/web-traffic-forecast", "kernel_id": "9644371"}, {"ref": "fumitakahashi/time-series-data-with-arima-model", "kernel_id": "9236698"}, {"ref": "matthewmrpyton/google-web-traffic-forecasting-models", "kernel_id": "10487078"}, {"ref": "kk0105/wikipedia-traffic-eda-arima", "kernel_id": "10827175"}, {"ref": "kk0105/predictive-analysis-with-different-approaches", "kernel_id": "10894046"}, {"ref": "sahaabhi/multivariate-lstm", "kernel_id": "10971610"}, {"ref": "henriquepeixoto/tensorflow-lstm", "kernel_id": "10960126"}, {"ref": "sergeydor/web-traffic-time-series-forecast-with-4-model", "kernel_id": "11904358"}, {"ref": "amitrj/web-traffic-time-series", "kernel_id": "12524585"}, {"ref": "mayank00rastogi/wikipedia-pages-traffic-analysis", "kernel_id": "12080884"}, {"ref": "sejinsim/predictive-analysis-with-different-approaches", "kernel_id": "12706821"}, {"ref": "viktordorchenko/homework-l4-web-traffic-time-series-forecast", "kernel_id": "12011983"}, {"ref": "muhammadyunus007/using-lstm-on-training-data", "kernel_id": "13007214"}, {"ref": "seon22/wttsf", "kernel_id": "14176243"}, {"ref": "fatemehghassemi/time-series-forecasting", "kernel_id": "15431335"}, {"ref": "annimoham/web-traffic-forecasting-with-fbprophet-sarimax", "kernel_id": "15430979"}, {"ref": "annimoham/fork-of-web-traffic-forecasting-fbprophet-sarimax", "kernel_id": "15438985"}, {"ref": "samuelepiazzetta/nbeats-on-wttsf", "kernel_id": "15856326"}, {"ref": "finbrownlp/notebook84551cd5c9", "kernel_id": "15944782"}, {"ref": "sohamkarak/web-traffic-prophet", "kernel_id": "16748031"}, {"ref": "sankar16/predictive-analysis-with-different-approaches", "kernel_id": "17337192"}, {"ref": "empireblaster/prediction-with-analysis", "kernel_id": "17089217"}, {"ref": "rajgandhi/web-traffic-time-series-forecast-predictions", "kernel_id": "17485201"}, {"ref": "rajgandhi/web-traffic-time-series-forecast-eda", "kernel_id": "17218363"}, {"ref": "karthikprasad11/using-lstm-on-training-data", "kernel_id": "17726403"}, {"ref": "ngupta23/multiple-time-series-modeling-with-pycaret", "kernel_id": "18279826"}, {"ref": "khosiyatsabirova/exploratory-data-analysis-m5-forecasting-accur", "kernel_id": "18107505"}, {"ref": "bodamanojkumar/web-traffic-time-series-forecast", "kernel_id": "20820743"}, {"ref": "bodamanojkumar/web-traffic-time-series-forecasting-eda", "kernel_id": "20878069"}, {"ref": "tiendominh/n-cu-i-k-tien-ver12", "kernel_id": "20476844"}, {"ref": "ganeshhalpatrao/web-traffic-time-series-forecasting", "kernel_id": "20577161"}, {"ref": "shanand/notebookf9144e941b", "kernel_id": "21085151"}, {"ref": "usam9048/notebookc10f238c0c", "kernel_id": "23747271"}, {"ref": "usam9048/web-traffic", "kernel_id": "23484417"}, {"ref": "luyi01/predicting-web-traffing-using-pytorch", "kernel_id": "23606532"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "jerryscientist/how-to-make-decision-using-arima-model", "kernel_id": "33942884"}, {"ref": "ibrahimkaratas/high-dimensional-time-series-forecasting-with-ann", "kernel_id": "34187022"}, {"ref": "suraj520/comprehensive-notebook-on-predictive-analysis", "kernel_id": "37839359"}, {"ref": "nedadarbeheshti/comprehensive-notebook-on-predictive-analysis", "kernel_id": "39921297"}, {"ref": "darisdzakwanhoesien2/water-monitoring-system-arima-model", "kernel_id": "40090764"}, {"ref": "viniciusjmpereira/webtrafic", "kernel_id": "40886527"}, {"ref": "sabakhalid123/web-traffic-time-series-forecasting", "kernel_id": "42019594"}, {"ref": "udayr007/webforecasting-anomalydetection", "kernel_id": "44316516"}, {"ref": "udayr007/playingwithwebtraffictimeforcasting", "kernel_id": "44052013"}, {"ref": "binggou/time-series", "kernel_id": "46942834"}, {"ref": "shvuuuu/ccp-time-series-forecasting", "kernel_id": "46593661"}, {"ref": "priambudi/is5126-project", "kernel_id": "51143841"}, {"ref": "gagandeep44489/web-traffic-we-forecasting", "kernel_id": "60283085"}, {"ref": "theinkyawlwin/data-preprocessing-for-wikipedia-web-traffic", "kernel_id": "72438990"}, {"ref": "sandhyaavasthi/web-traffic-forecasting-wikipedia", "kernel_id": "83288582"}, {"ref": "lamhungv2ai/notebook629df19c39", "kernel_id": "84127983"}, {"ref": "evanoleary/alexandria-competition-web-traffic-time-s-508267", "kernel_id": "101358927"}, {"ref": "nikunjmahajan9937/notebookab1241148e", "kernel_id": "108307552"}, {"ref": "nikunjmahajan9937/notebook3b90e427d9", "kernel_id": "108309433"}, {"ref": "nguyenvananhxa/web-traffic-forecasting-wikipedia", "kernel_id": "129546200"}]}
{"competition_id": "6775", "kernels": [{"ref": "wcukierski/reading-images", "kernel_id": "290473"}, {"ref": "sammiller/reading-images-refactored", "kernel_id": "324616"}, {"ref": "kmader/reading-and-organizing-images-and-outputs", "kernel_id": "292589"}, {"ref": "amibah/fork-of-notebookbfae4d0857", "kernel_id": "457161"}, {"ref": "gracetang/predictions-based-on-zone-means-0-29089", "kernel_id": "307953"}, {"ref": "ironbar/saving-3d-files-to-vtr-for-later-visualization", "kernel_id": "317664"}, {"ref": "jehung/exploratory-data-analysis-and-example-generation", "kernel_id": "334069"}, {"ref": "mtfall/omg-no-data-in-this-competition-s-kernel-d", "kernel_id": "292489"}, {"ref": "samkd20/reading-images", "kernel_id": "316177"}, {"ref": "tunguz/random-second-stage-submission-lb-0-000000000000", "kernel_id": "493210"}, {"ref": "millerintllc/expected-income-per-day-of-competition", "kernel_id": "296622"}, {"ref": "danieleewww/baseline-lb-0-29089", "kernel_id": "346186"}, {"ref": "danieleewww/starter-xgboost-esr5", "kernel_id": "348782"}, {"ref": "danieleewww/the-matrix-0-29096", "kernel_id": "348763"}, {"ref": "teru1000/notebookb3f0ed6dda", "kernel_id": "374049"}, {"ref": "greymatter8654/homeland-security", "kernel_id": "316024"}, {"ref": "jihyeseo/image-file", "kernel_id": "958623"}, {"ref": "zusmani/baseline-lb-0-29089", "kernel_id": "372181"}, {"ref": "zusmani/predictions-based-on-zone-means-0-29089", "kernel_id": "373020"}, {"ref": "chriscrunch/exploratory-data-analysis-and-example-generation", "kernel_id": "378959"}, {"ref": "shubra1967/opencv-haarcascade", "kernel_id": "469329"}, {"ref": "akruger/organizing-labels-in-pandas", "kernel_id": "303194"}, {"ref": "josephfriedman/merge-and-unmerge-17-zones", "kernel_id": "337022"}, {"ref": "philippsp/baseline-lb-0-29089", "kernel_id": "292421"}, {"ref": "philippsp/reading-images-in-r", "kernel_id": "292955"}, {"ref": "nathanrm/full-solution-cylindrical-coordinate-method", "kernel_id": "517698"}, {"ref": "akashdeepjassal/starter-xgboost", "kernel_id": "346942"}, {"ref": "jbfarrar/preprocessing-pipeline-and-convnet-trainer", "kernel_id": "344178"}, {"ref": "jbfarrar/exploratory-data-analysis-and-example-generation", "kernel_id": "323679"}, {"ref": "xxsssxx/reading-images", "kernel_id": "297955"}, {"ref": "rakkhi/reading-images-in-r", "kernel_id": "335476"}, {"ref": "virgodata/exploratory-data-analysis-and-example-generation", "kernel_id": "325191"}, {"ref": "congweilin/reading-images", "kernel_id": "353067"}, {"ref": "mshaffer/using-r-organizing-the-data", "kernel_id": "388250"}, {"ref": "wangkai9512/trail-for-tsa", "kernel_id": "422859"}, {"ref": "chandoo7/reading-and-organizing-images-and-outputs", "kernel_id": "427582"}, {"ref": "equationist/reading-images-in-julia", "kernel_id": "423423"}, {"ref": "daviddhc20120601/daviddhc-lets-try-this", "kernel_id": "440734"}, {"ref": "beardaddy/notebook799628bade", "kernel_id": "456667"}, {"ref": "beardaddy/notebookac64abc77d", "kernel_id": "456660"}, {"ref": "ramirobmar/algoritmo-de-cribado-de-seguridad-en-aeropuertos", "kernel_id": "466673"}, {"ref": "khandelwallaksya/eda-and-generation", "kernel_id": "1232345"}, {"ref": "ahmedmurad1990/eda-and-generation", "kernel_id": "11487009"}, {"ref": "yhp2205/exploratory-data-analysis-and-example-generation", "kernel_id": "16587813"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-linear-regression", "kernel_id": "30877457"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "jerrinv/passenger-scanner", "kernel_id": "75222812"}, {"ref": "workofarttattoo/notebookbc2c14f059", "kernel_id": "109208558"}, {"ref": "ebadhussain20/pazssenger-gratification-prediction", "kernel_id": "120227048"}]}
{"competition_id": "6776", "kernels": []}
{"competition_id": "6799", "kernels": [{"ref": "neelvasani/kernel415a7b5b63", "kernel_id": "7132352"}, {"ref": "neerajnair/kernel76721cc377", "kernel_id": "8363726"}, {"ref": "maruiping/resnet101", "kernel_id": "13439026"}, {"ref": "xantakross/project-seeq", "kernel_id": "14117947"}, {"ref": "electropavuk/imagenet", "kernel_id": "16109220"}, {"ref": "fanbyprinciple/beginner-efficientnet-simple-inference", "kernel_id": "21200941"}, {"ref": "rista5/compression-performance-run-on-pi4", "kernel_id": "21410862"}, {"ref": "danielpleus/alexnet-tensorflow", "kernel_id": "24510431"}, {"ref": "yhx003/googlenet", "kernel_id": "26667982"}, {"ref": "karsonjo/image-colorization-using-gan", "kernel_id": "26996314"}, {"ref": "asifquadir/generate-images-from-text-using-openai-glid2", "kernel_id": "29993185"}, {"ref": "ovednagar/simclr-community-detection-sampler", "kernel_id": "30657731"}, {"ref": "fbernuy/download-validation-set", "kernel_id": "31631912"}, {"ref": "fold10/image-blur-classification", "kernel_id": "31287639"}, {"ref": "tinlvn/notebookd40fd8dfdd", "kernel_id": "31957501"}, {"ref": "medsalimaissi/halftonner", "kernel_id": "31526982"}, {"ref": "ayushkr02/resnet18-ilsvrc", "kernel_id": "31600387"}, {"ref": "joaoparana/download-imagenet-validation-set", "kernel_id": "32733238"}, {"ref": "alielhenidy/srelu-model", "kernel_id": "32678817"}, {"ref": "moiseevigor/train-resnet50-on-imagenet-with-pytorch", "kernel_id": "33498615"}, {"ref": "hemanthkj/mlp-expts", "kernel_id": "33078237"}, {"ref": "annapowell/mae-kaggle", "kernel_id": "33435558"}, {"ref": "tusonggao/imagenet-dataset-10-classes", "kernel_id": "34358963"}, {"ref": "tusonggao/create-imagenet-train-subset-100k", "kernel_id": "34348449"}, {"ref": "tusonggao/create-imagenet-validation-directory", "kernel_id": "34338451"}, {"ref": "codgiw/vgg16-pre-trained-on-imagenet-transfer-learning", "kernel_id": "34503643"}, {"ref": "zachharel/pytorch-imagenet", "kernel_id": "36374535"}, {"ref": "ahmadaneeq/ocr-model-train-using-synthetic-data", "kernel_id": "37401786"}, {"ref": "madhavmalhotra/advparams-parameter-encryption", "kernel_id": "37629673"}, {"ref": "madhavmalhotra/tf-fork-of-advparams-parameter-encryption", "kernel_id": "38039104"}, {"ref": "madhavmalhotra/deeplock-parameter-encryption", "kernel_id": "38376936"}, {"ref": "madhavmalhotra/tf-fork-of-deeplock-parameter-encryption", "kernel_id": "38479595"}, {"ref": "madhavmalhotra/dnn-shuffle-input-encryption", "kernel_id": "38806356"}, {"ref": "luckad/cnn-on-imagenet-gpu", "kernel_id": "38358786"}, {"ref": "rabiizribi/notebook7d7621d28a", "kernel_id": "38035884"}, {"ref": "benjaminmissaoui/get-subset-of-imagenet-training-set", "kernel_id": "39910977"}, {"ref": "kukkuyouseff19ma118/notebook3625216cd6", "kernel_id": "39523321"}, {"ref": "alraviemutiarmahesa/kaggle-download-subfolder-spesific-folder", "kernel_id": "39298850"}, {"ref": "ddrustamova/1-task-cnn-3", "kernel_id": "39363760"}, {"ref": "olex1313/hw3-task1-task2", "kernel_id": "39890598"}, {"ref": "yuvarajmurugan/custom-net", "kernel_id": "39528918"}, {"ref": "yuvarajmurugan/3rd-training-on-imagenet", "kernel_id": "39598305"}, {"ref": "yuvarajmurugan/customenet-3", "kernel_id": "39568398"}, {"ref": "yuvarajmurugan/notebookc3e3d5f304", "kernel_id": "39547222"}, {"ref": "quintenve/notebook613f1d6682", "kernel_id": "39982629"}, {"ref": "shoroouqalshal/image-localization", "kernel_id": "40666232"}, {"ref": "duongtran1909/sub-imgnet", "kernel_id": "40730658"}, {"ref": "luckad/comparison-pre-trained-cnn-models", "kernel_id": "40162894"}, {"ref": "luckad/set-valued-classification-on-imagenet", "kernel_id": "40316163"}, {"ref": "riddhich777/saf-fpgm-arch-pruning-alexnet-fl102", "kernel_id": "40795969"}, {"ref": "riddhic777/fpgm-arch-pruning-resnet-imgnet", "kernel_id": "40649416"}, {"ref": "hassankhalifa7/fashion-mnist-dataset", "kernel_id": "42109745"}, {"ref": "mahmoudmoussa5214/ddddd", "kernel_id": "42499766"}, {"ref": "srinjoybhuiya/convnext-and-alexnet-on-imagenet", "kernel_id": "43684776"}, {"ref": "prakashjyy/tiny-imagenet", "kernel_id": "43983948"}, {"ref": "muhriddinmalik/ilsvrc-imagenet-object-localization-challenge", "kernel_id": "44571821"}, {"ref": "mariamalkuwaiti/resnet50-imagenet", "kernel_id": "45931525"}, {"ref": "mahmoudakrm/tfver2-12", "kernel_id": "45493033"}, {"ref": "mahmoudakrm/notebook57aaa132eb", "kernel_id": "45190566"}, {"ref": "mahmoudakrm/adversial-training-with-imagenet", "kernel_id": "45697817"}, {"ref": "mohamedayman12/pgd-20", "kernel_id": "45704731"}, {"ref": "avinashcpandey/notebook9cc824ce75", "kernel_id": "45978049"}, {"ref": "volkanbakr/ari5004-finalproject", "kernel_id": "46922342"}, {"ref": "vamini/dataset-e-image", "kernel_id": "46877417"}, {"ref": "ashtonfrias/imagenet-object-detection", "kernel_id": "46581445"}, {"ref": "thieuluu/convnext", "kernel_id": "46895235"}, {"ref": "giuliobenedetti/imagenet-reproducing-convnets", "kernel_id": "47153865"}, {"ref": "wittsonchen/notebook6091203050", "kernel_id": "48173137"}, {"ref": "wittsonchen/fork-of-notebook6091203050", "kernel_id": "48202416"}, {"ref": "amitpant7/hardware-aware-nas-for-fpgas-evolutionary-algo", "kernel_id": "48983652"}, {"ref": "riatreesaraju/qat-reset-18", "kernel_id": "48793713"}, {"ref": "irenebernardi/vgg16-replica", "kernel_id": "48378310"}, {"ref": "mahmoudakrm/vit-clean-training", "kernel_id": "48173081"}, {"ref": "mahmoudakrm/fork-of-adversial-training-with-imagenet", "kernel_id": "48173103"}, {"ref": "malekzadeharman/imagenet-data-exploration", "kernel_id": "49654475"}, {"ref": "freymiggen/anlab-bike-classifier", "kernel_id": "49104392"}, {"ref": "martinezpozosvictor/imagenet-subset-10-random-classes", "kernel_id": "50798923"}, {"ref": "amitpant7/finding-efficient-deep-learning-model-for-fpgas", "kernel_id": "50782827"}, {"ref": "amitpant7/retraining-nas-searched-archs-on-imagenet", "kernel_id": "50297161"}, {"ref": "amitpant7/fpga-aware-nas-latency-using-evolutionary-algo", "kernel_id": "50195427"}, {"ref": "dsingh9/cnn-mnist", "kernel_id": "50752701"}, {"ref": "amieeeet/retraining-nas-searched-archs-on-imagenet", "kernel_id": "50597259"}, {"ref": "syedmhuzaif/rgbtogrey", "kernel_id": "51985604"}, {"ref": "my1nonly/deprecated-evaluate-pretrained-models-imagenet", "kernel_id": "51839348"}, {"ref": "bibhabasumohapatra/visualizing-vision-transformers-timm", "kernel_id": "52282082"}, {"ref": "phandat12082002/forward-imagenet1k-train", "kernel_id": "52410230"}, {"ref": "phandat12082002/forward-imagenet1k-test", "kernel_id": "52367146"}, {"ref": "my1nonly/deprecated-forward-imagenet1k", "kernel_id": "52602150"}, {"ref": "vaishnaviw/imagenet-for-colorization", "kernel_id": "53352054"}, {"ref": "vaishnaviw/imagenet-rgb-and-gray", "kernel_id": "53349889"}, {"ref": "phandat12082002/faiss-clustering-10k-test-images-in-imangenet", "kernel_id": "53932544"}, {"ref": "pallavgupta2611/steganography-and-stegananalysis-autoencoders", "kernel_id": "55140017"}, {"ref": "sreejaguduri/assignment4-cv", "kernel_id": "55190582"}, {"ref": "ameychoudhary/cv-a4-q2", "kernel_id": "55303761"}, {"ref": "phandat12082002/forward-imagenet1k-valid", "kernel_id": "57225700"}, {"ref": "szymonkryzel/agu2024", "kernel_id": "58228679"}, {"ref": "duaaalshareif47/alexnet-duaa-group-project", "kernel_id": "59222018"}, {"ref": "omerfotso/alexnet-omer-group-project", "kernel_id": "59234792"}, {"ref": "chaitanyakohli678/imagenet-siasemese", "kernel_id": "60474588"}, {"ref": "chaitanyakohli678/gdn-gan", "kernel_id": "60187859"}, {"ref": "ashlessss/imagenet-data-exploration", "kernel_id": "64530031"}, {"ref": "manikjatana/notebook5c3e8ed319", "kernel_id": "66607600"}, {"ref": "philurame/downloading-cifar10-imagenet-mscoco-datasets", "kernel_id": "67216555"}, {"ref": "deepaksingh2510/kaggle-download-subfolder-spesific-folder", "kernel_id": "70303003"}, {"ref": "bibhabasumohapatra/lightning-image-classification", "kernel_id": "73767325"}, {"ref": "arjunbasandrai/srresnet-paper-implementation", "kernel_id": "73085044"}, {"ref": "davidnguyens12/notebook13e8b853b8", "kernel_id": "73044522"}, {"ref": "arjunbasandrai154/srgan-paper-implementation", "kernel_id": "73259688"}, {"ref": "diminini/object-detection", "kernel_id": "73235694"}, {"ref": "nguyenhathaison/vgg16-implementation-with-pytorch", "kernel_id": "73301954"}, {"ref": "my1nonly/dgm-grouping-into-clusters", "kernel_id": "78142103"}, {"ref": "lbminhphc/dgm-ph-n-c-m", "kernel_id": "78818412"}, {"ref": "phuclebm/dgm-phan-cum", "kernel_id": "78953973"}, {"ref": "abhiramyanampally/umedpt-original-model", "kernel_id": "78505504"}, {"ref": "phusecond/fullimage", "kernel_id": "78128274"}, {"ref": "alessandrocogollo/vit-patch-extraction-visualization-imagenet", "kernel_id": "79205074"}, {"ref": "omosallam/imageclassification-task3", "kernel_id": "79068524"}, {"ref": "ankitupadhyay12/diffusion-model", "kernel_id": "80046402"}, {"ref": "rashidrao/xai-with-stratified-lime", "kernel_id": "81001424"}, {"ref": "danny3ric/gan-frr", "kernel_id": "81357673"}, {"ref": "sandeshbashyal/imagenet-data-collect", "kernel_id": "81898284"}, {"ref": "tamashalasi/create-cropped-image-dataset", "kernel_id": "81837389"}, {"ref": "ebrahimzadeh77/adversarialattack", "kernel_id": "82436530"}, {"ref": "jatayu000/colorization", "kernel_id": "82495318"}, {"ref": "tringuyen908/fine-tune", "kernel_id": "84738646"}, {"ref": "shaimajaashan/imagenet", "kernel_id": "85019266"}, {"ref": "tringuyen908/distilationyolo", "kernel_id": "86539888"}, {"ref": "krishnaharsham/alexnet-implementation", "kernel_id": "86700367"}, {"ref": "anako2020/cnn-deconvnet-part-1", "kernel_id": "87832631"}, {"ref": "anako2020/cnn-deconvnet-part-3-dogs", "kernel_id": "87826869"}, {"ref": "anako2020/cnn-deconvnet-part-5-dogs", "kernel_id": "87837025"}, {"ref": "anako2020/cnn-deconv-part-4-dogs", "kernel_id": "87254495"}, {"ref": "brandonchinalien/download-cropped-validation-set-64x64", "kernel_id": "87213819"}, {"ref": "chrisoquinn/notebookd6178c0953", "kernel_id": "88410613"}, {"ref": "tringuyen908/createdatayolo", "kernel_id": "88881242"}, {"ref": "nurmohalbegum/imagenet-tits-infinity", "kernel_id": "88048800"}, {"ref": "cafnar/lsmdepth", "kernel_id": "91717030"}, {"ref": "anako2020/cnn-deconvnet-part-2-dogs", "kernel_id": "92345049"}, {"ref": "tringuyen908/flkdyoloopenai", "kernel_id": "92639523"}, {"ref": "lhzsmash/mrar-eeg", "kernel_id": "92712521"}, {"ref": "diminini/domain-adaptation", "kernel_id": "92671450"}, {"ref": "khang21/vggreal", "kernel_id": "93398864"}, {"ref": "tringuyen908908/flkdyoloopenai", "kernel_id": "94710996"}, {"ref": "he186309trungkin/efficentad", "kernel_id": "101866731"}, {"ref": "kkkmxzy/exp4-rengognzhineng", "kernel_id": "102739204"}, {"ref": "codemaivanngu/meanflow-original-repository", "kernel_id": "105072956"}, {"ref": "codemaivanngu/prepare-dataset-for-meanflow", "kernel_id": "105964435"}, {"ref": "deeplumiere/superimagenet-generator", "kernel_id": "106144718"}, {"ref": "elbouknifyyounes/article", "kernel_id": "106090926"}, {"ref": "myselfjay/magdiff", "kernel_id": "107820290"}, {"ref": "elouansimon/notebook32689bd5c2", "kernel_id": "107549995"}, {"ref": "cbgxs6682/fork-of-build", "kernel_id": "107553027"}, {"ref": "alessandrocogollo/acg4cav-pipeline-def", "kernel_id": "110161462"}, {"ref": "duchuynh2611/visa-process-ref-efficentad", "kernel_id": "110416926"}, {"ref": "shashwatchaturvedi35/dl-project", "kernel_id": "111055271"}, {"ref": "shashwatchaturvedi35/seg-dl-project", "kernel_id": "111118950"}, {"ref": "akgiiith/clip-sae-training", "kernel_id": "111425987"}, {"ref": "akgiiith/task-01", "kernel_id": "111482395"}, {"ref": "lucastnguyen/self-flow-tpu", "kernel_id": "111448863"}, {"ref": "ctlcmleon/self-flow-tpu", "kernel_id": "111391876"}, {"ref": "ctlcmleon/self-flow-tpu-bfab2e", "kernel_id": "111495940"}, {"ref": "dohana123/self-flow-tpu-bfab2e-70729c-f5b8a2", "kernel_id": "111971391"}, {"ref": "shashwatchaturvedi3/dl-project", "kernel_id": "111570886"}, {"ref": "lamthanhz/self-flow-tpu-bfab2e-70729c", "kernel_id": "111886876"}, {"ref": "thaygiaodaysat/self-flow-tpu-bfab2e-70729c-f5b8a2", "kernel_id": "111933918"}, {"ref": "thaygiaodaysat/prepare-imagenet", "kernel_id": "111337232"}, {"ref": "johnntlhudson/prepare-imagenet", "kernel_id": "111395588"}, {"ref": "johnntlhudson/self-flow-tpu-bfab2e", "kernel_id": "111613766"}, {"ref": "damtrunghieu/self-flow-tpu", "kernel_id": "111397723"}, {"ref": "lucastnguyen/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918", "kernel_id": "112577753"}, {"ref": "myselfjay/aspp-vit", "kernel_id": "112734127"}, {"ref": "ctlcmleon/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918", "kernel_id": "112475028"}, {"ref": "dohana123/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918", "kernel_id": "112073489"}, {"ref": "nhibui916/self-flow-tpu-bfab2e-70729c-f5b8a2-2d2c4c", "kernel_id": "112073932"}, {"ref": "johnntlhudson/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918", "kernel_id": "112704030"}, {"ref": "damtrunghieu/self-flow-tpu-bfab2e-70729c-f5b8a2-2d2c4c", "kernel_id": "112075680"}, {"ref": "damtrunghieu/self-flow-tpu-bfab2e-70729c-f5b8a2", "kernel_id": "112007960"}, {"ref": "kairnn/self-flow-tpu-bfab2e-70729c-f5b8a2", "kernel_id": "112014099"}, {"ref": "kairnn/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918", "kernel_id": "112103042"}, {"ref": "phamdotuandng/self-flow-tpu-bfab2e-70729c-f5b8a2-2d2c4c", "kernel_id": "112076002"}, {"ref": "phamdotuandng/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918", "kernel_id": "112716060"}, {"ref": "ngocanhnguyenha/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918", "kernel_id": "112723689"}, {"ref": "bangchi/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918", "kernel_id": "113024688"}, {"ref": "lucastnguyen/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-ed4f74", "kernel_id": "113107528"}, {"ref": "lucastnguyen/rae-imagenet", "kernel_id": "113180114"}, {"ref": "myselfjay/aspp-vit-final", "kernel_id": "113980389"}, {"ref": "ctlcmleon/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-ed4f74", "kernel_id": "113104283"}, {"ref": "pratik368/snake-species-classification-using-vit", "kernel_id": "113190334"}, {"ref": "hosseinbadrnezhad/mini-imagenet-cnn-limited-edition", "kernel_id": "113209326"}, {"ref": "hosseinbadrnezhad/imagenet-cnn-limited-edition", "kernel_id": "113270461"}, {"ref": "hosseinbadrnezhad/mini-imagenet-vgg16-limited-edition", "kernel_id": "113305483"}, {"ref": "hosseinbadrnezhad/imagenet-vgg16-limited-edition", "kernel_id": "113411760"}, {"ref": "johnntlhudson/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-d3aeb5", "kernel_id": "113192994"}, {"ref": "damtrunghieu/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-ed4f74", "kernel_id": "113002974"}, {"ref": "phamdotuandng/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-ed4f74", "kernel_id": "113006177"}, {"ref": "rahulk2197/q2-dltest", "kernel_id": "114359393"}, {"ref": "lucastnguyen/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "114731089"}, {"ref": "ctlcmleon/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-202f9b", "kernel_id": "114266705"}, {"ref": "dohana123/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "114760620"}, {"ref": "nhibui916/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "114655998"}, {"ref": "thaygiaodaysat/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-a7d440", "kernel_id": "114458670"}, {"ref": "johnntlhudson/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "114594222"}, {"ref": "damtrunghieu/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-202f9b", "kernel_id": "114303668"}, {"ref": "kairnn/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-a7d440", "kernel_id": "114434299"}, {"ref": "phamdotuandng/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-202f9b", "kernel_id": "114303797"}, {"ref": "phamdotuandng/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-a7d440", "kernel_id": "114404754"}, {"ref": "ngocanhnguyenha/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-a7d440", "kernel_id": "114434424"}, {"ref": "ngocanhnguyenha/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "114731217"}, {"ref": "anhhaphan/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "115129609"}, {"ref": "namdtgk14/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "115214490"}, {"ref": "ctlcmleon/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "115128534"}, {"ref": "johnntlhudson/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-752fed", "kernel_id": "115109231"}, {"ref": "kairnn/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-752fed", "kernel_id": "115549047"}, {"ref": "phamdotuandng/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "115437538"}, {"ref": "lucastnguyen/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-752fed", "kernel_id": "116183708"}, {"ref": "nguyenhonganh888/grad-cam", "kernel_id": "116876293"}, {"ref": "nhibui916/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-9596d3", "kernel_id": "116220954"}, {"ref": "damtrunghieu/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-99f427", "kernel_id": "116583625"}, {"ref": "s8t804/notebookbbf8807cc0", "kernel_id": "117922793"}, {"ref": "anhhaphan/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-2b1ceb", "kernel_id": "117724338"}, {"ref": "thngdngvit/adversarial-attacks", "kernel_id": "117985382"}, {"ref": "no1ceboy/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e780a7", "kernel_id": "117382159"}, {"ref": "thaygiaodaysat/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-2b1ceb", "kernel_id": "117876278"}, {"ref": "johnntlhudson/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-e2a413", "kernel_id": "117752929"}, {"ref": "kairnn/self-flow-tpu-bfab2e-70729c-f5b8a2-f23918-e-d02fca", "kernel_id": "117304330"}, {"ref": "kimkim0110/ttc-cx", "kernel_id": "119356506"}, {"ref": "nihalaman/adavit-implementation", "kernel_id": "125557596"}, {"ref": "nihalaman/avit-reimplmented", "kernel_id": "126860094"}, {"ref": "nihalaman/adavit-implmented1", "kernel_id": "126864356"}, {"ref": "nihalaman/02-ats-implementation", "kernel_id": "126839757"}, {"ref": "nihalaman/01-basevit-implementation", "kernel_id": "126818844"}, {"ref": "nihalaman/ats-4", "kernel_id": "126609613"}, {"ref": "panzerkampfwagen/perceiver", "kernel_id": "127900249"}, {"ref": "panzerkampfwagen/data-efficient-image-transformers", "kernel_id": "127769416"}, {"ref": "viollett/dasiamrpn", "kernel_id": "128350159"}, {"ref": "panzerkampfwagen/distillation-with-no-labels", "kernel_id": "128111524"}, {"ref": "baphan/imagenet-upstream-pca-resnet18-resnet50-v1", "kernel_id": "131284696"}, {"ref": "surensagh/research-test", "kernel_id": "132574451"}, {"ref": "phanbth/im-s6", "kernel_id": "133824239"}, {"ref": "phanbth/im-s7", "kernel_id": "133824287"}, {"ref": "phanbth/im-s8", "kernel_id": "133824334"}, {"ref": "phanbth/im-s9", "kernel_id": "133824480"}, {"ref": "phanbth/im-s5", "kernel_id": "133841576"}, {"ref": "phanbtho/im-s10", "kernel_id": "133841311"}, {"ref": "phanbtho/im-s1", "kernel_id": "133822602"}, {"ref": "phanbtho/im-s2", "kernel_id": "133822671"}, {"ref": "phanbtho/im-s3", "kernel_id": "133822708"}, {"ref": "phanbtho/im-s4", "kernel_id": "133822747"}, {"ref": "phanbtho/im-s0", "kernel_id": "133822107"}, {"ref": "phanbtho/im-s12", "kernel_id": "133827396"}, {"ref": "phanbtho/im-s13", "kernel_id": "133827487"}, {"ref": "phanbtho/im-s11", "kernel_id": "133827356"}, {"ref": "phanbtho/im-s14", "kernel_id": "133827565"}, {"ref": "phanbtho/index-img-net", "kernel_id": "133794885"}, {"ref": "vantakusaiyashwant/notebookc1590d1308", "kernel_id": "134829946"}, {"ref": "kemasaivedhamsh/notebookc1590d1308", "kernel_id": "135229500"}, {"ref": "vantakusaiyashwant/notebookc1590d1308-a697e0", "kernel_id": "135331802"}, {"ref": "hyhngng/attnlrp-vit-rep", "kernel_id": "136554898"}, {"ref": "yogeshwaranselvam521/notebookd323985e43", "kernel_id": "136281925"}]}
{"competition_id": "6803", "kernels": []}
{"competition_id": "6818", "kernels": [{"ref": "abhishek/mehhh", "kernel_id": "2248064"}, {"ref": "asanakoev/easy-peasy-resnet50-with-fastai-0-574-lb", "kernel_id": "2295745"}, {"ref": "udaygurugubelli/one-shot-siamese-networks", "kernel_id": "2481780"}, {"ref": "toshik/image-size-and-rate-of-new-whale", "kernel_id": "2627914"}, {"ref": "voglinio/images-containing-text", "kernel_id": "2941086"}, {"ref": "voglinio/generalizing-whale-masks-with-masked-results", "kernel_id": "2850557"}, {"ref": "kretes/eda-distributions-images-and-no-duplicates", "kernel_id": "2256519"}, {"ref": "deltawi/compress-images-to-hdf5-faster", "kernel_id": "2603034"}, {"ref": "mayukh18/siamese-modified-model-script", "kernel_id": "2641689"}, {"ref": "jy93630/separating-gray-and-color-images", "kernel_id": "2582484"}, {"ref": "josemontiel/humpback-whale-bounding-box-cropped-dataset", "kernel_id": "2408550"}, {"ref": "kushagra1067/bbox-xception-pytorch", "kernel_id": "2394129"}, {"ref": "raghavab1992/siamese-with-fast-ai", "kernel_id": "2449619"}, {"ref": "safavieh/image-augmentation-using-skimage", "kernel_id": "2248170"}, {"ref": "nielsdonders/whale-prediction-keras-with-cropping", "kernel_id": "2956109"}, {"ref": "isaranja/humpback-pytorch-softmax-resnet18", "kernel_id": "2395733"}, {"ref": "syhens/description-eda", "kernel_id": "2337969"}, {"ref": "seesee/siamese-pretrained-0-822", "kernel_id": "2498332"}, {"ref": "zitorelova/pytorch-whale-classification", "kernel_id": "2288284"}, {"ref": "artgor/pytorch-whale-identifier", "kernel_id": "2251456"}, {"ref": "rgoodman/whale-identification-challenge-pytorch", "kernel_id": "2797848"}, {"ref": "yvansraka/cnn-keras-with-new-whale-threeshold", "kernel_id": "2726534"}, {"ref": "hrmello/flow-from-dataframe-a-memory-friendly-approach", "kernel_id": "2285257"}, {"ref": "ashishpatel26/tensorflow-for-beginner-to-advance", "kernel_id": "2441886"}, {"ref": "ashishpatel26/black-white-to-color-image-using-dl", "kernel_id": "2593197"}, {"ref": "ashishpatel26/comprehensive-guide-of-object-detection-algorithms", "kernel_id": "2666175"}, {"ref": "ashishpatel26/fast-ai-humpback-resnet-18", "kernel_id": "2267125"}, {"ref": "ashishpatel26/vgg-19-for-humpback-classification", "kernel_id": "2269579"}, {"ref": "ashishpatel26/triplet-loss-network-for-humpback-whale-prediction", "kernel_id": "2252490"}, {"ref": "pestipeti/only-new-whale-benchmark", "kernel_id": "2268715"}, {"ref": "pestipeti/keras-cnn-starter", "kernel_id": "2248405"}, {"ref": "pestipeti/explanation-of-map5-scoring-metric", "kernel_id": "2260083"}, {"ref": "nacicansao/augmentation-mobilenet", "kernel_id": "2247981"}, {"ref": "ddmngml/feeding-with-keras-imagedatagenerator", "kernel_id": "2742112"}, {"ref": "axel81/resnet101-using-sgd-with-restarts-lb-0-640", "kernel_id": "2306386"}, {"ref": "axel81/ensemble-resnet50-resnet101-lb-0-702", "kernel_id": "2336626"}, {"ref": "axel81/ensemble-lb-0-728-lb-0-725-lb-0-719", "kernel_id": "2381557"}, {"ref": "axel81/siamese-baseline-lb-0-822", "kernel_id": "2534481"}, {"ref": "axel81/siamese-ensemble-of-ensemble-lb-0-824", "kernel_id": "2534597"}, {"ref": "axel81/denset-121-sgd-with-restarts-lb-0-602", "kernel_id": "2457623"}, {"ref": "axel81/weighted-average-ensemble-v-n-lb-0-776", "kernel_id": "2449062"}, {"ref": "jjwisest/keras-cnn-starter", "kernel_id": "2941342"}, {"ref": "codealist/preprocessing-fast-images-metadata", "kernel_id": "2301485"}, {"ref": "ankurshukla03/whale-whale-identification", "kernel_id": "2248318"}, {"ref": "arunkumarramanan/awesome-deep-learning-with-cnn-mnist-classifier", "kernel_id": "2272643"}, {"ref": "arunkumarramanan/awesome-ml-and-text-classification-movie-reviews", "kernel_id": "2272874"}, {"ref": "arunkumarramanan/awesome-ml-frameworks-and-mnist-classification", "kernel_id": "2270215"}, {"ref": "arunkumarramanan/data-science-in-r-and-titanic-survival-prediction", "kernel_id": "2272949"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "stalkermustang/pytorch-pretraiedmodels-se-resnext101-baseline", "kernel_id": "2260764"}, {"ref": "matthewa313/ensembling-algorithm-for-average-precision-metric", "kernel_id": "2302747"}, {"ref": "matthewa313/resnet50", "kernel_id": "2297079"}, {"ref": "nikhilroxtomar/keras-pretrained-resnet50", "kernel_id": "2250402"}, {"ref": "konstantinmeskhidze/whale-tail-recognition", "kernel_id": "2452443"}, {"ref": "ashukr/let-it-begin", "kernel_id": "2743700"}, {"ref": "youhanlee/small-data-many-class-data-augmentation", "kernel_id": "2253122"}, {"ref": "jionie/esemble-lb-0-842", "kernel_id": "2995699"}, {"ref": "ortempo/whale-recognition-1-keras-starter", "kernel_id": "2983925"}, {"ref": "dromosys/radek-fast-ai-whale", "kernel_id": "2421154"}, {"ref": "dromosys/radek-fast-ai-whale-full", "kernel_id": "2421419"}, {"ref": "dromosys/radek-whale-known-research", "kernel_id": "2421479"}, {"ref": "dromosys/radek-whale-oversample", "kernel_id": "2438519"}, {"ref": "dromosys/radek-fast-ai-whale-full-stage1", "kernel_id": "2502193"}, {"ref": "dromosys/radek-fast-ai-whale-full-stage2", "kernel_id": "2502208"}, {"ref": "dromosys/radek-fast-ai-whale-full-stage3", "kernel_id": "2502219"}, {"ref": "dromosys/radek-fast-ai-whale-full-stage4", "kernel_id": "2502253"}, {"ref": "dromosys/radek-fast-ai-whale-full-stage5", "kernel_id": "2502271"}, {"ref": "dromosys/radek-fast-ai-whale-full-stage6", "kernel_id": "2502297"}, {"ref": "dromosys/radek-fast-ai-whale-full-predict", "kernel_id": "2502309"}, {"ref": "hexadd5/simple-resnet50-with-keras", "kernel_id": "2879605"}, {"ref": "ayalamann/bounding-boxes-using-image-processing", "kernel_id": "2600075"}, {"ref": "ayalamann/transfer-learning-with-bb", "kernel_id": "2795446"}, {"ref": "ayalamann/simple-cnn-classification-no-new-whale", "kernel_id": "2822132"}, {"ref": "ayalamann/siamese-net-with-bb", "kernel_id": "2760216"}, {"ref": "iafoss/similarity-densenet121-0-805lb-kernel-time-limit", "kernel_id": "2572072"}, {"ref": "kulbir/final-project", "kernel_id": "2875036"}, {"ref": "sukhadj/humpback-whale-identification", "kernel_id": "2252779"}, {"ref": "sukhadj/humpback-whale-identification-transfer-learning", "kernel_id": "2417161"}, {"ref": "sukhadj/humpback-whale-bounding-boxes", "kernel_id": "2643708"}, {"ref": "joydeb28/cnn-model-without-new-whale", "kernel_id": "2337139"}, {"ref": "sanikamal/image-segmentation-using-color-spaces", "kernel_id": "2273494"}, {"ref": "sanikamal/whale-identification-using-cnn", "kernel_id": "2254165"}, {"ref": "ateplyuk/keras-triplet-loss-lb-0-224", "kernel_id": "2419619"}, {"ref": "ateplyuk/rxt50-448-rxt50-384-c-bb-lb-0-718", "kernel_id": "2406742"}, {"ref": "ateplyuk/resnext50-sz448-resnext50-sz224-lb-0-684", "kernel_id": "2401632"}, {"ref": "ateplyuk/resnext50-no-0-crop-sz384-0-651", "kernel_id": "2323190"}, {"ref": "ateplyuk/resnext50-lb-0-655", "kernel_id": "2334773"}, {"ref": "ateplyuk/resnext50-sz448-lb-0-657", "kernel_id": "2388592"}, {"ref": "alexanderliao/foreground-retrieval-with-cv2-connectedcomponents", "kernel_id": "2258188"}, {"ref": "tarunpaparaju/resnet-pretrained", "kernel_id": "2624220"}, {"ref": "alejandrods/function-to-clean-text-in-images", "kernel_id": "2307354"}, {"ref": "viswajithkn/kernel54216050d4", "kernel_id": "2285769"}, {"ref": "viswajithkn/whale-detection", "kernel_id": "2287530"}, {"ref": "zhangjiescut/contrastive-loss-softmaxloss-auto-encoder", "kernel_id": "2610678"}, {"ref": "behcetsenturk/resnet50-keras", "kernel_id": "2743418"}, {"ref": "qgh1223/inceptionv3-siamesenet", "kernel_id": "2451302"}, {"ref": "mgiraygokirmak/captain-ahab-in-pursuit-of-md", "kernel_id": "2821013"}, {"ref": "rednivrug/eda-for-whale-with-bounding-boxes", "kernel_id": "2820630"}, {"ref": "sujoykg/keras-xception-pretrained-dataaugment", "kernel_id": "2557959"}, {"ref": "sujoykg/with-grayscale-images", "kernel_id": "2742271"}, {"ref": "frkhit/triplet-loss-from-pretrained-siamese-net-0-76", "kernel_id": "2971206"}, {"ref": "frkhit/triplet-loss-resnet50-bounding-box-0-621", "kernel_id": "2979671"}, {"ref": "shivarajmeti/whale-train-test", "kernel_id": "2271135"}, {"ref": "rupeshs/quick-eda-starter", "kernel_id": "2250296"}, {"ref": "jprusso/whales-competition", "kernel_id": "2559121"}, {"ref": "suicaokhoailang/wip-resnet18-baseline-with-fastai-0-392-lb", "kernel_id": "2247889"}, {"ref": "suicaokhoailang/removing-class-new-whale-is-a-good-idea", "kernel_id": "2292287"}, {"ref": "suicaokhoailang/resnet50-bounding-boxes-0-628-lb", "kernel_id": "2323503"}, {"ref": "suicaokhoailang/generating-whale-bounding-boxes", "kernel_id": "2324252"}, {"ref": "suicaokhoailang/martin-piotte-s-siamese-baseline", "kernel_id": "2470618"}, {"ref": "suicaokhoailang/linear-assignment-problem-and-how-it-applies", "kernel_id": "2627985"}, {"ref": "ckanth090/kernel-for-whales-canny-edge-detection-and-2dcnn", "kernel_id": "2254062"}, {"ref": "overload10/fishing-whales", "kernel_id": "2834258"}, {"ref": "rmihir96/whale-identification", "kernel_id": "2850636"}, {"ref": "truocpham/keras-vgg-baseline", "kernel_id": "2251446"}, {"ref": "harshel7/comprehensive-keras-tutorial-for-beginners", "kernel_id": "2951626"}, {"ref": "undrallaramesh/humpback-whale-identification-keras-cnn", "kernel_id": "2252235"}, {"ref": "harishvutukuri/humpback-whale-fast-ai", "kernel_id": "2802859"}, {"ref": "amneves/humpkeras-whale-identification", "kernel_id": "2269992"}, {"ref": "hung96ad/ensembling-algorithm-for-average-precision-0-766", "kernel_id": "2333285"}, {"ref": "hung96ad/bbox-seresnext101-pytorch-0-657", "kernel_id": "2358152"}, {"ref": "ashirahama/pytorch-simple-cnn-aug", "kernel_id": "2331701"}, {"ref": "ashirahama/pytorch-simple-cnn-split-new-whale", "kernel_id": "2344997"}, {"ref": "backaggle/branch-code-of-martinpiotte-for-pytorch-lover", "kernel_id": "2708142"}, {"ref": "game1level2/cnn-whalev2", "kernel_id": "2824850"}, {"ref": "nslagkgle/exif-gps-data-new-and-known-whales-plot", "kernel_id": "2767297"}, {"ref": "twhitehurst3/humback-detection-keras-tranfer-learning", "kernel_id": "2794293"}, {"ref": "satian/seresnext101-pytorch-starter", "kernel_id": "2279563"}, {"ref": "satian/fork-resnet34-baseline-with-fastai", "kernel_id": "2262915"}, {"ref": "satian/keras-mobilenet-starter", "kernel_id": "2250361"}, {"ref": "talmanr/well-converged-triplet-loss", "kernel_id": "2325764"}, {"ref": "akshaysub99/whale-pretrained-with-val", "kernel_id": "2507674"}, {"ref": "akshaysub99/whale-pretrained", "kernel_id": "2479107"}, {"ref": "willtscott/humpback-whale-identification-with-mobilenet", "kernel_id": "2293353"}, {"ref": "smitkiri/humpback-whale-prediction-using-keras", "kernel_id": "2824112"}, {"ref": "iamarjunchandra/keras-cnn-whale-detection-beginner-model", "kernel_id": "2655912"}, {"ref": "marekwyborski/multithreaded-prepareimages", "kernel_id": "2368631"}, {"ref": "dungeonmaster081/humpback-whale-eda-train-dataloader-pytorch", "kernel_id": "2252083"}, {"ref": "dcahn12/rgb-affine-transform-for-martin-s-siamese-net", "kernel_id": "2606837"}, {"ref": "ldm314/whale-gan", "kernel_id": "2632100"}, {"ref": "jas215/whale-identification-kernel", "kernel_id": "2312929"}, {"ref": "davidwagnerkc/visualizing-33k-images-with-google-facets", "kernel_id": "2710895"}, {"ref": "varre1974/whale-identification-cnn-model", "kernel_id": "2304225"}, {"ref": "amitani16/kernel-20190224k", "kernel_id": "2998740"}, {"ref": "psinha20/kernel39227e1a17", "kernel_id": "2529395"}, {"ref": "giangtruong/pytorch-classification-with-resnet101-for-starter", "kernel_id": "2296774"}, {"ref": "bhuvanaka/hump-back-whale", "kernel_id": "2405525"}, {"ref": "phhasian0710/create-bounding-box-images-whale-recognition", "kernel_id": "2310434"}, {"ref": "fizpok/humpback-whale-2", "kernel_id": "2387813"}, {"ref": "mohammedsunasra/whaleidentification-resnet50-withmap", "kernel_id": "2583440"}, {"ref": "xhlulu/exploration-and-preprocessing-for-keras-224x224", "kernel_id": "2263316"}, {"ref": "zakraicik/resnet50", "kernel_id": "2342059"}, {"ref": "ganbare2/test1", "kernel_id": "2746900"}, {"ref": "jhonatansilva31415/whales-a-simple-guide", "kernel_id": "2390777"}, {"ref": "jhonatansilva31415/loading-all-whales-into-memory", "kernel_id": "2465702"}, {"ref": "iishchukov/vgg-19-simplified", "kernel_id": "2991609"}, {"ref": "iishchukov/keras-with-simple-mlp-model", "kernel_id": "2991409"}, {"ref": "orhansertkaya/cnn-humpback-whale-identification-with-keras", "kernel_id": "2782886"}, {"ref": "smurli/humpback-siamese2", "kernel_id": "2718413"}, {"ref": "khaled34/siamese-0-822", "kernel_id": "2718775"}, {"ref": "khaled34/kernel3bdf081d78", "kernel_id": "2490127"}, {"ref": "shawnalmighty/fastai-humpback-whale", "kernel_id": "2258979"}, {"ref": "longkt96/xception-bbox-yolov3-whale", "kernel_id": "2398904"}, {"ref": "yanransmiles/whales-a-simple-guide", "kernel_id": "2415245"}, {"ref": "heye0507/prepare-databunch-with-fastai-1-0", "kernel_id": "2740039"}, {"ref": "kshitjgarg59/runcode", "kernel_id": "2765776"}, {"ref": "whatvermawhat/resnet50-128x128", "kernel_id": "2469002"}, {"ref": "toshik/older-images-tend-to-be-new-whale", "kernel_id": "3058047"}, {"ref": "voglinio/siamese-two-pretrained-weights-0-855", "kernel_id": "3015831"}, {"ref": "zfturbo/visualisation-of-siamese-net", "kernel_id": "3108308"}, {"ref": "isaranja/humpback-siamese-pytorch-resnet18", "kernel_id": "3025510"}, {"ref": "codegass/siamese-net-with-ensemble", "kernel_id": "3937007"}, {"ref": "jweissenberger/keras-cnn-with-image-augmentation", "kernel_id": "3747312"}, {"ref": "ankkur13/for-beginner-keras", "kernel_id": "3011184"}, {"ref": "alokevil/whale-ensemble-lb-0-866", "kernel_id": "3086765"}, {"ref": "danlester/tuning-from-resnet18-to-50-in-pytorch", "kernel_id": "3087855"}, {"ref": "danlester/whales-transfer-learning-from-resnet18-in-pytorch", "kernel_id": "3008005"}, {"ref": "karish/humback-whale", "kernel_id": "3571213"}, {"ref": "sythrox/whale", "kernel_id": "3155538"}, {"ref": "manyregression/fastai-vision-starter", "kernel_id": "3018689"}, {"ref": "karanjakhar/protonet", "kernel_id": "3021042"}, {"ref": "jaideepvalani/arcface-humpback-customhead-fastai-score919", "kernel_id": "3250479"}, {"ref": "jaideepvalani/pytorch-batch-hard-mining-whale-hump-back", "kernel_id": "3093134"}, {"ref": "ryuji13/whales-a-simple-guide-add-japanese-a-little", "kernel_id": "3016920"}, {"ref": "amitani16/kernel-20190226", "kernel_id": "3086357"}, {"ref": "cmoputer/whale5-0", "kernel_id": "3784269"}, {"ref": "mrvolador/densenet121withasgd", "kernel_id": "3876966"}, {"ref": "droid021/pytorch-whale-identifier", "kernel_id": "3248379"}, {"ref": "iishchukov/inceptionv3-siamese-network", "kernel_id": "3025180"}, {"ref": "maggi098/whalehumpback-assignment", "kernel_id": "3452497"}, {"ref": "maggi098/humpbackwhale-assignment1", "kernel_id": "3453839"}, {"ref": "namepen/keras-densenet-with-tf-data", "kernel_id": "3086345"}, {"ref": "ndimaria/augmented-cnn", "kernel_id": "3941186"}, {"ref": "ndimaria/siamese-neural-network", "kernel_id": "3933406"}, {"ref": "sunny0528/whale-identification-snn", "kernel_id": "3943988"}, {"ref": "sujataj/tailsegmentationboundingbox", "kernel_id": "3864153"}, {"ref": "cpe695yimeng/fifth", "kernel_id": "3936191"}, {"ref": "jiajunliu0327/whale-identificaiton", "kernel_id": "3942566"}, {"ref": "mustaffxx/kernele89232e5e8", "kernel_id": "4554974"}, {"ref": "mohamedaminhouidi/kernelc2cdea4182", "kernel_id": "4034070"}, {"ref": "zhutaozhuang/pytorch-whale-classifier-c62d3a", "kernel_id": "4292350"}, {"ref": "ripcurl/keras-transferred-learning-vgg16-starter", "kernel_id": "5857614"}, {"ref": "gabrielcf8/prototype-mobilenet", "kernel_id": "5594504"}, {"ref": "gabrielcf8/cnn-humpback-whale-identification-with-keras", "kernel_id": "5850149"}, {"ref": "gabrielcf8/whale-identification-using-cnn", "kernel_id": "5897380"}, {"ref": "lhd0430/humpback-whale-identification", "kernel_id": "6280058"}, {"ref": "mittalh/whale-hamp-modelling", "kernel_id": "6047750"}, {"ref": "gabrielcf8/prototype-cnn", "kernel_id": "6022478"}, {"ref": "ak9969/humpback-whale-identification", "kernel_id": "7361822"}, {"ref": "anishsharma27/udacity-capstone-101", "kernel_id": "7411667"}, {"ref": "ixxazz/kernel22384c983c", "kernel_id": "7633820"}, {"ref": "ixxazz/keras-cnn-whale-detection-beginner-model", "kernel_id": "7637043"}, {"ref": "izzaasad1/cnn-humpback-whale-identification-with-keras", "kernel_id": "7657674"}, {"ref": "lsanselme/keras-cnn-starter", "kernel_id": "8533115"}, {"ref": "jaayush/keras-cnn-v1", "kernel_id": "8835423"}, {"ref": "pikkupr/humpback-whale", "kernel_id": "9391073"}, {"ref": "karanchhabra99/humpback-whale-identification-competition", "kernel_id": "10655102"}, {"ref": "vitorcaefel/modelo-para-identifica-o-de-baleias", "kernel_id": "10824241"}, {"ref": "sarthak2001/whale-identification", "kernel_id": "10670154"}, {"ref": "vitorcae/modelo-para-identifica-o-de-baleias", "kernel_id": "10973432"}, {"ref": "fanbyprinciple/humpback-whale-with-fastai-v4", "kernel_id": "11698410"}, {"ref": "akhileshdkapse/foreground-extraction-opencv", "kernel_id": "11159414"}, {"ref": "cycadring/new-whale-2", "kernel_id": "12832756"}, {"ref": "nicapotato/keras-efficientnet", "kernel_id": "13467870"}, {"ref": "dipuchandra/cse499b", "kernel_id": "13339465"}, {"ref": "santoshatchi/submissoin-final", "kernel_id": "19013747"}, {"ref": "rajgupta2019/cnn-humpback-whale-identification-with-keras", "kernel_id": "23765600"}, {"ref": "lihuichen/resnet50-bounding-boxes-0-628-lb", "kernel_id": "25812521"}, {"ref": "jonathanchau/acm-ai-projects-kaggle-skeleton", "kernel_id": "26830983"}, {"ref": "kevinyichenwang/acm-projects-2022-spring-team-sha1", "kernel_id": "26274268"}, {"ref": "nantapob/cnnproject", "kernel_id": "27173667"}, {"ref": "mgallimore88/cnn-train", "kernel_id": "31479637"}, {"ref": "shivanshj/notebook574d6af37f", "kernel_id": "31406782"}, {"ref": "jaydipdey/images-rgb-gs", "kernel_id": "31787915"}, {"ref": "ogbellew/airface-pml", "kernel_id": "33223751"}, {"ref": "stpeteishii/whale-tail-segment-anything-create-mask", "kernel_id": "38099867"}, {"ref": "ofirpaz/whales-comp", "kernel_id": "45546069"}, {"ref": "hariswartp/image-segmentation-using-color-spaces-ea1c1f", "kernel_id": "47092170"}, {"ref": "anushkagupta1331/black-white-to-color-image-using-dl", "kernel_id": "49025969"}, {"ref": "gabrielwang01/pytorch", "kernel_id": "50153906"}, {"ref": "kiennn12313dsadasdas/deep-metric-learning", "kernel_id": "50305007"}, {"ref": "jiayiwan23/notebookb0eedbe106", "kernel_id": "53106383"}, {"ref": "stpeteishii/whale-fins-to-picture-animation2", "kernel_id": "66771430"}, {"ref": "sayrol/whale2", "kernel_id": "81067720"}, {"ref": "leontenkovegor/notebookcdcfab2667", "kernel_id": "112043450"}]}
{"competition_id": "6820", "kernels": [{"ref": "rafael450/notebook0641ddf8f0", "kernel_id": "66116628"}]}
{"competition_id": "6834", "kernels": []}
{"competition_id": "6839", "kernels": []}
{"competition_id": "6841", "kernels": [{"ref": "domcastro/text-reduction-not-for-running", "kernel_id": "310628"}, {"ref": "nishkgp/concatenating-stage1-test-results-to-training-set", "kernel_id": "374978"}, {"ref": "nishkgp/splitting-variations-into-features-0-595-lb", "kernel_id": "314302"}, {"ref": "dex314/tfidf-truncatedsvd-and-light-gbm", "kernel_id": "323083"}, {"ref": "clustifier/basic-two", "kernel_id": "296207"}, {"ref": "clustifier/basic-one", "kernel_id": "295798"}, {"ref": "sudalairajkumar/simple-exploration-notebook-personalized-medicine", "kernel_id": "295597"}, {"ref": "danofer/genetic-variants-to-protein-features", "kernel_id": "305320"}, {"ref": "danofer/redefining-treatment-v2-0-57019", "kernel_id": "332535"}, {"ref": "kleskjr/notebook6b99ec6ae2", "kernel_id": "352352"}, {"ref": "jorgemf/rnn-gru-bidirectional-attentional-context", "kernel_id": "382834"}, {"ref": "ryanzhang/use-stage-1-solution-as-stage-2-submission", "kernel_id": "374311"}, {"ref": "tagore15/k-mean-clustering-starter", "kernel_id": "349024"}, {"ref": "sameeraja/basic-observations", "kernel_id": "301500"}, {"ref": "priyaananthram/eda-version1", "kernel_id": "309828"}, {"ref": "jeffhebert/personalized-modular-medicine-with-r", "kernel_id": "337033"}, {"ref": "opanichev/mean-probas", "kernel_id": "296510"}, {"ref": "biswajeet/notebookc7cedc165d", "kernel_id": "374197"}, {"ref": "satadru5/redefine-cancer", "kernel_id": "302433"}, {"ref": "vsmalladi/genetic-variant-data-exploration", "kernel_id": "310645"}, {"ref": "alyosama/doc2vec-with-keras-0-77", "kernel_id": "341573"}, {"ref": "vanausloos/genetic-variants-to-protein-features-vanauslo", "kernel_id": "306900"}, {"ref": "vanausloos/cancer-redefining-treatment-0-57456", "kernel_id": "326608"}, {"ref": "unicorn23/simple-xgboost-to-score-2-090", "kernel_id": "309663"}, {"ref": "mrbeer/word-count-function-optimization", "kernel_id": "344430"}, {"ref": "mrbeer/benchmarks-and-multi-log-loss-function", "kernel_id": "342208"}, {"ref": "mohitraut/lightgbm", "kernel_id": "378778"}, {"ref": "mohitraut/personlaized-medicine", "kernel_id": "378589"}, {"ref": "iasiam/doc2vec-with-xgboost-text-only", "kernel_id": "329327"}, {"ref": "wfondrie/simple-function-to-import-training-text-into-r", "kernel_id": "358368"}, {"ref": "tunguz/owl-in-script-1-01997-lb", "kernel_id": "374867"}, {"ref": "tunguz/dumb-submission", "kernel_id": "295329"}, {"ref": "tunguz/slightly-less-dumb-submission", "kernel_id": "295468"}, {"ref": "tunguz/redefining-treatment-0-57456", "kernel_id": "312985"}, {"ref": "vilmar/first-look-at-the-data", "kernel_id": "296818"}, {"ref": "airxiechao/visualize-variation-s-class-in-text-via-html", "kernel_id": "361426"}, {"ref": "tkm2261/first-glance-of-the-data", "kernel_id": "296015"}, {"ref": "jy93630/keras-starter", "kernel_id": "309059"}, {"ref": "vivekkalyanarangan30/rnn-lstm-tensorboard-2-18", "kernel_id": "310376"}, {"ref": "wanglaiqi/personalized-medicine-redefining-cancer-treatment", "kernel_id": "391587"}, {"ref": "amit5s3/a-priori-submission", "kernel_id": "306327"}, {"ref": "amit5s3/notebooked8f28f692", "kernel_id": "306969"}, {"ref": "trion129/lightgbm-version", "kernel_id": "363803"}, {"ref": "bostjanm/cnn-aproach-to-text-mining", "kernel_id": "374168"}, {"ref": "punyaswaroop12/gbm-starter-top-40", "kernel_id": "311100"}, {"ref": "supavish/word-with-capital-letter", "kernel_id": "302509"}, {"ref": "jihyeseo/cancer-text-treatment", "kernel_id": "958638"}, {"ref": "cjansen/owl-in-script", "kernel_id": "299119"}, {"ref": "oysteijo/a-priori-submission", "kernel_id": "295528"}, {"ref": "pamin2222/basic-tf-idf-models-evaluation", "kernel_id": "366313"}, {"ref": "jmt7080/tfidf-svd-mca-xgboost-pipeline-gridsearch", "kernel_id": "346586"}, {"ref": "reiinakano/basic-nlp-bag-of-words-tf-idf-word2vec-lstm", "kernel_id": "342425"}, {"ref": "jroy17/eda-in-python", "kernel_id": "316413"}, {"ref": "bhuvaneshwaran/redefining-cancer-treatment-linear-svc", "kernel_id": "301565"}, {"ref": "ishida/multilayer-perceptron-with-keras", "kernel_id": "326329"}, {"ref": "raalsky/input-data-overview", "kernel_id": "295517"}, {"ref": "raalsky/variations-segmentation-and-feature-extraction", "kernel_id": "315806"}, {"ref": "dextrousjinx/xgb-starter", "kernel_id": "299845"}, {"ref": "dextrousjinx/brief-insight-on-genetic-variations", "kernel_id": "297854"}, {"ref": "carlos85av/only-text-mining-info-kullback-leibler-0-8", "kernel_id": "351179"}, {"ref": "carlos85av/searching-for-text-feats-normalizing-variations", "kernel_id": "352490"}, {"ref": "joephilleo/naive-xgb-lb-0-83", "kernel_id": "333683"}, {"ref": "dspider/data-exploration", "kernel_id": "297044"}, {"ref": "chauhanprateek89/pm-cancer", "kernel_id": "454941"}, {"ref": "megemini/modified-the1owl-redefining-treatment-0-57018", "kernel_id": "332508"}, {"ref": "manigandanv/keras-muti-sequential-lb-0-78041", "kernel_id": "326559"}, {"ref": "manigandanv/lightgbm-regressor-classifier-cross-validation", "kernel_id": "310802"}, {"ref": "zhaoxinyan/notebookef3b1bc949", "kernel_id": "352600"}, {"ref": "alokranjan1606/personalised-medicine-eda-with-tidy-r", "kernel_id": "308358"}, {"ref": "dinesh30/personalized-medicine-redefining-cancer-treatment", "kernel_id": "339854"}, {"ref": "bigshane/eda-for-prescription-text-analysis-and-xgboost", "kernel_id": "454877"}, {"ref": "kevinbonnes/basic-tf-idf-model-0-647-lb", "kernel_id": "297847"}, {"ref": "hemamalinisma/exploratory-data-analysis-and-text-mining", "kernel_id": "316426"}, {"ref": "h123453047/browse-the-data", "kernel_id": "308711"}, {"ref": "stoian2662/redefining-cancer-threatment-rfc", "kernel_id": "374896"}, {"ref": "osciiart/keras-end-to-end-cnn-w-out-statistic-features", "kernel_id": "380776"}, {"ref": "osciiart/redefining-treatment-0-57456-modified", "kernel_id": "368133"}, {"ref": "eaturner/everything-and-the-kitchen-sink", "kernel_id": "300368"}, {"ref": "headsortails/personalised-medicine-eda-with-tidy-r", "kernel_id": "296569"}, {"ref": "edolatabadi/feature-union-with-grid-search", "kernel_id": "369974"}, {"ref": "edolatabadi/xgboost-tunning-inspired-by-the1owl", "kernel_id": "382873"}, {"ref": "priyagoel0211/prediction-with-xgboost", "kernel_id": "378197"}, {"ref": "merckel/nci-thesaurus-naive-bayes-vs-rf-gbm-glm-dl", "kernel_id": "329642"}, {"ref": "merckel/preliminary-investigation-ncit-binary-encoding", "kernel_id": "326349"}, {"ref": "amavuduru/getting-started-eda", "kernel_id": "299004"}, {"ref": "swanny/splitting-variations-into-features-0-595-lb", "kernel_id": "311743"}, {"ref": "robin89/concept-modeling-with-word2vec", "kernel_id": "417070"}, {"ref": "mogwai/wordclouds-for-each-class", "kernel_id": "309687"}, {"ref": "coralyss/tf-idf-with-mutation-types-ensembl-model", "kernel_id": "349593"}, {"ref": "pedromlsreis/creating-9-binary-class-dataframes", "kernel_id": "342850"}, {"ref": "gevae114/g-a-analysis-and-prediction", "kernel_id": "323108"}, {"ref": "raulitoskys/using-lda-to-extract-topics-from-the-text", "kernel_id": "330853"}, {"ref": "mikhailborovinskikh/my-first-kernel-countvec-truncatedsvc-logreg", "kernel_id": "346341"}, {"ref": "mikhailborovinskikh/countvec-transformer-lgb", "kernel_id": "346534"}, {"ref": "mikhailborovinskikh/tfidf-keras", "kernel_id": "347646"}, {"ref": "eavdeeva/cancer-all-gene-variation-values-are-unique", "kernel_id": "341759"}, {"ref": "eavdeeva/cancer-simple-gene-based-model", "kernel_id": "342938"}, {"ref": "bsivavenu/cancer-treatment-with-machine-learning", "kernel_id": "393311"}, {"ref": "tugrula/obtaining-meaningful-token-with-nltk", "kernel_id": "352432"}, {"ref": "umutto/preliminary-data-analysis-using-word2vec", "kernel_id": "350030"}, {"ref": "umutto/using-stage-1-test-results-for-stage-2-training", "kernel_id": "372914"}, {"ref": "butlertj3/simple-tf-idf-kernel-learning-through-practice", "kernel_id": "377232"}, {"ref": "ministry/basic-nlp-bag-of-words-tf-idf-word2vec-lstm", "kernel_id": "356486"}, {"ref": "ericdfr/guess-real-stage-2-test-dataset", "kernel_id": "381084"}, {"ref": "viveksinghub/lstm-with-doc2vec", "kernel_id": "468929"}, {"ref": "sandrogmb/naive-bayes-vs-rf-gbm-glm-dl", "kernel_id": "419764"}, {"ref": "sumedhas/basic-lstm", "kernel_id": "462416"}, {"ref": "sumedhas/doc2vec-with-keras-0-77", "kernel_id": "467550"}, {"ref": "lalithakirthi/personalized-medical-treatment", "kernel_id": "711943"}, {"ref": "vishnu1243/personalised-medicine-eda-with-tidy-r", "kernel_id": "1056072"}, {"ref": "shrikantds/cancer-diagnosise-lstm", "kernel_id": "1409018"}, {"ref": "kennethrithvik/cancer-mutation-class", "kernel_id": "1898166"}, {"ref": "omkarsabnis/predicting-the-effects-of-genetic-variations-lgb", "kernel_id": "1042691"}, {"ref": "jhantu/basic-nlp-bag-of-words-tf-idf-word2vec-lstm", "kernel_id": "1220262"}, {"ref": "jhantu/doc2vec-with-keras-0-77", "kernel_id": "1220290"}, {"ref": "randaadel75/fork-of-fork-of-kernelc0d7b8b970-28e8a2", "kernel_id": "1153762"}, {"ref": "randaadel75/fork-of-fork-of-fork-of-kernelc0d7b8b970-28e8a2", "kernel_id": "1153776"}, {"ref": "randaadel75/randaadel", "kernel_id": "1138315"}, {"ref": "unbiasedmodeler/eda-with-py", "kernel_id": "1171065"}, {"ref": "therzv/implementing-labelencoder-and-onehotencoder", "kernel_id": "2396008"}, {"ref": "skotty971/cancertreatment5e3f964d79", "kernel_id": "3674055"}, {"ref": "avis1102/kernel-for-cancer-prediction", "kernel_id": "3554548"}, {"ref": "fugacity/personalized-medicine-multiclass-classification", "kernel_id": "4050377"}, {"ref": "dettrax/kernelada4c389af", "kernel_id": "4325150"}, {"ref": "debashiskhatei/kernel46f7a96e48", "kernel_id": "4812090"}, {"ref": "sousablde/breast-cancer-mutation-effect-on-oncogenecity", "kernel_id": "5026936"}, {"ref": "abhineet94/personalized-medicine-redefining-cancer-treatment", "kernel_id": "5941143"}, {"ref": "kmdmustaq/redefining-cancer-treatment-linear-svc", "kernel_id": "5668243"}, {"ref": "ashishbarvaliya/feature-extraction-and-modeling-5-models", "kernel_id": "5645157"}, {"ref": "lokanath2019/medicine-for-cancer-treatment-analysis", "kernel_id": "5578792"}, {"ref": "teclovsaicharan/cancer-analysis-using-logistic-regression-and-svm", "kernel_id": "5716132"}, {"ref": "teclovsaicharan/cancer-analysis-using-logisctic-regression-and-svm", "kernel_id": "5661245"}, {"ref": "teclovsaicharan/cancer-analysis-using-naive", "kernel_id": "5580082"}, {"ref": "teclovsayali/kernel4adc75023d", "kernel_id": "5702432"}, {"ref": "teclovsayali/cancerproblem", "kernel_id": "5671790"}, {"ref": "kadhiresan/cancer-kernel", "kernel_id": "5714992"}, {"ref": "kumaripankaj01/medicine-for-cancer-treatment-analysis", "kernel_id": "5656077"}, {"ref": "gadaadhaarigeek/responsecoding-laplacesmoothing-in-cancerdiagnosis", "kernel_id": "6914281"}, {"ref": "ajaysh/personalized-cancer-diagnosis", "kernel_id": "6165521"}, {"ref": "palakurthidurga/eda-in-python", "kernel_id": "6565732"}, {"ref": "srinath1882/msk-redefining-cancer-treatment", "kernel_id": "6796221"}, {"ref": "yashjani9/eda-in-python", "kernel_id": "6570387"}, {"ref": "vikashrajluhaniwal/eda-classification-ensemble-for-cancer-diagnosis", "kernel_id": "7169617"}, {"ref": "jacckashakash/cancer-diagnosis-eda-random-forest", "kernel_id": "7210585"}, {"ref": "ssvitian/cancer-withoutsampling", "kernel_id": "7310828"}, {"ref": "vishnurapps/redefining-cancer-treatment-tfidf-vectorization", "kernel_id": "7162427"}, {"ref": "nikhilparmar9/knn-svm-nb-rndfr-logr-stacking-cancer-diagnosis", "kernel_id": "7404015"}, {"ref": "verzivolli/personalized-medicine-redefining-cancer-treatmen", "kernel_id": "7016439"}, {"ref": "radhakrishna4/teclov", "kernel_id": "7816400"}, {"ref": "deviaiml/msk-cancer-diagnosis-logistic", "kernel_id": "7096573"}, {"ref": "rayhuang/redefining-cancer-treatment", "kernel_id": "8190142"}, {"ref": "tahahussein/profiling-eda-stacking-voting", "kernel_id": "8134961"}, {"ref": "tariquepce/cancer-treatment", "kernel_id": "9077366"}, {"ref": "sourabh219/personalised-cancer-detection", "kernel_id": "10393173"}, {"ref": "faizainewelectricity/personalized-cancer-diagnosis", "kernel_id": "10001414"}, {"ref": "rahul90/cancertreatment-with-nlp-eda-logistic-regression", "kernel_id": "11462941"}, {"ref": "arjitg450/personalized-cancer-diagnosis", "kernel_id": "11075958"}, {"ref": "amitinger19/cancer-gene-mutation", "kernel_id": "11899232"}, {"ref": "venkateshthota/personalised-medicine-redefining-cancer-treatment", "kernel_id": "11761352"}, {"ref": "pavan2101/personalized-cancer-diagnosis", "kernel_id": "11724471"}, {"ref": "abhishektyagi001/personalized-medicine-redefining-cancer-treatment", "kernel_id": "11933575"}, {"ref": "miracl16/basic-xgboost-tfidf-russian-version", "kernel_id": "11318167"}, {"ref": "himanshulalwani/personalized-cancer-diagnosis", "kernel_id": "12414189"}, {"ref": "zakariadata/cancer-treatment", "kernel_id": "13885762"}, {"ref": "amankumar270295/cancer-diagnosis", "kernel_id": "13775348"}, {"ref": "habibmrad1983/redefining-cancer-treatment-linear-svc", "kernel_id": "14968726"}, {"ref": "habibmrad1983/brief-insight-on-genetic-variations", "kernel_id": "14939140"}, {"ref": "habibmrad1983/genetic-variants-to-protein-features", "kernel_id": "14941833"}, {"ref": "habibmrad1983/simple-exploration-notebook-personalized-medicine", "kernel_id": "14942450"}, {"ref": "aliphya/personalized-medicine-redefining-cancer-treatment", "kernel_id": "14095736"}, {"ref": "kasevgen/tfidf-xgboost-predict-for-medicine-treatment", "kernel_id": "14501571"}, {"ref": "abdulmeral/tabular-nlp", "kernel_id": "15182495"}, {"ref": "praveen525/personalized-canser-diagnosis", "kernel_id": "15335126"}, {"ref": "drmdtalks/tabular-nlp", "kernel_id": "17804005"}, {"ref": "sujand/cancer-diagnosis", "kernel_id": "20875341"}, {"ref": "vishvdeep/logistic-regregression", "kernel_id": "21443402"}, {"ref": "arjitg450/fork-of-personalized-cancer-diagnosis", "kernel_id": "21790954"}, {"ref": "elemento/personalizedmedicine-rct", "kernel_id": "21799492"}, {"ref": "near11/personalized-medicin3", "kernel_id": "30946232"}, {"ref": "arunry11/personalized-cancer-diagnosis", "kernel_id": "30370816"}, {"ref": "timetraveller98/sentence-bert", "kernel_id": "32745553"}, {"ref": "ibrahimberber/personalised-cancer-detection", "kernel_id": "32857336"}, {"ref": "oliverblue/personalizedmedicine-rct-562aa7", "kernel_id": "32491078"}, {"ref": "sanketpramodbhure/personalized-medicine", "kernel_id": "33284456"}, {"ref": "prathameshgadekar/redefining-cancer-treatment", "kernel_id": "33685801"}, {"ref": "edaaydinea/prediction-medicine-redefining-cancer-treatment", "kernel_id": "34628250"}, {"ref": "malayajsrivastava77/rf-knn-nb-on-predicting-custom-cancer-treatment", "kernel_id": "34319470"}, {"ref": "victordiallen/analysis-and-prediction-of-cancer-treatment", "kernel_id": "43974694"}, {"ref": "ananthajet/cancer-diagnosis", "kernel_id": "49225115"}, {"ref": "faizanahmed007/personalized-cancer-diagnosis", "kernel_id": "54344543"}, {"ref": "faizanahmed007/personalized-cancer-diagnosis-using-ml", "kernel_id": "54832276"}, {"ref": "chanchal24/alternate-medicine-recommendation-system", "kernel_id": "63180128"}, {"ref": "aayushkubba/basic-nlp-bag-of-words-tf-idf-word2vec-lstm", "kernel_id": "64716382"}, {"ref": "sagnik2003/alternate-medicine-recommendation-system", "kernel_id": "64616534"}, {"ref": "dependrayogi/personalized-cancer", "kernel_id": "65626551"}, {"ref": "rahulachanta/personalized-medicine-project001", "kernel_id": "66566071"}, {"ref": "rahulachanta/some1", "kernel_id": "67134047"}, {"ref": "samehanasr/classifying-genetic-mutations-bert", "kernel_id": "75586962"}, {"ref": "swarupkumarbehera/alternate-medicine-recommendation-system", "kernel_id": "88754253"}, {"ref": "evanoleary/alexandria-competition-msk-redefining-can-372056", "kernel_id": "100942417"}, {"ref": "gallo33henrique/personalized-medicine-cancer-llm-bioclinicalbet", "kernel_id": "104391282"}]}
{"competition_id": "6852", "kernels": [{"ref": "takahirokubo0/multinli-dataset-analysis", "kernel_id": "2168283"}]}
{"competition_id": "6853", "kernels": []}
{"competition_id": "6854", "kernels": []}
{"competition_id": "6864", "kernels": [{"ref": "benhamner/fgsm-attack-example", "kernel_id": "299031"}, {"ref": "benhamner/adversarial-learning-challenges-getting-started", "kernel_id": "299930"}, {"ref": "tagore15/adversarial-mnist-images-on-single-layer-nn", "kernel_id": "341499"}, {"ref": "bguberfain/visualizing-max-perturbation", "kernel_id": "303813"}, {"ref": "cpruce/fast-pytorch-attack-kernel", "kernel_id": "359073"}, {"ref": "allunia/how-to-attack-a-machine-learning-model", "kernel_id": "314889"}, {"ref": "jihyeseo/fool-classification-image", "kernel_id": "958679"}, {"ref": "cjansen/gans-with-tensorflow", "kernel_id": "302158"}, {"ref": "linmx0130/pytorch-fgsm-demo", "kernel_id": "321183"}, {"ref": "tw0518/adversarial-learning-challenges-getting-s-51b2c7", "kernel_id": "369957"}, {"ref": "creativebot/how-to-attack-a-machine-learning-model", "kernel_id": "2977695"}, {"ref": "utkunal/how-to-attack-a-machine-learning-model", "kernel_id": "7945514"}]}
{"competition_id": "6866", "kernels": [{"ref": "benhamner/targeted-attack-example", "kernel_id": "299889"}, {"ref": "benhamner/adversarial-learning-challenges-getting-started", "kernel_id": "299930"}, {"ref": "cpruce/fast-pytorch-attack-kernel", "kernel_id": "359073"}, {"ref": "allunia/how-to-attack-a-machine-learning-model", "kernel_id": "314889"}, {"ref": "jihyeseo/attack-image-into-specific-target-class", "kernel_id": "958655"}, {"ref": "cjansen/gans-with-tensorflow-nips", "kernel_id": "302159"}, {"ref": "tw0518/adversarial-learning-challenges-getting-s-51b2c7", "kernel_id": "369957"}, {"ref": "avsanjay/version-2", "kernel_id": "380751"}, {"ref": "avsanjay/version-1", "kernel_id": "380754"}, {"ref": "creativebot/how-to-attack-a-machine-learning-model", "kernel_id": "2977695"}, {"ref": "utkunal/how-to-attack-a-machine-learning-model", "kernel_id": "7945514"}]}
{"competition_id": "6867", "kernels": [{"ref": "benhamner/running-inception-v3", "kernel_id": "299878"}, {"ref": "benhamner/adversarial-learning-challenges-getting-started", "kernel_id": "299930"}, {"ref": "jihyeseo/adv-attack-image-classify-robust", "kernel_id": "958646"}, {"ref": "cjansen/gan-exemple-in-tensorflow", "kernel_id": "302156"}, {"ref": "cjansen/generative-adversarial-network-in-tensorflow", "kernel_id": "302165"}, {"ref": "tw0518/adversarial-learning-challenges-getting-s-51b2c7", "kernel_id": "369957"}]}
{"competition_id": "6910", "kernels": []}
{"competition_id": "6911", "kernels": []}
{"competition_id": "6916", "kernels": []}
{"competition_id": "6920", "kernels": []}
{"competition_id": "6927", "kernels": [{"ref": "gaborfodor/augmentation-methods", "kernel_id": "351887"}, {"ref": "weizhezhang/compare-model-and-trim1-in-metadata", "kernel_id": "321393"}, {"ref": "kirk86/multicore-image-processing-for-training-prediction", "kernel_id": "347291"}, {"ref": "aamaia/display-sample", "kernel_id": "321448"}, {"ref": "loveall/mask-images-rle-strings-speed-test-4-methods", "kernel_id": "359429"}, {"ref": "loveall/tpot-learning-on-carvana-images", "kernel_id": "344108"}, {"ref": "loveall/tpot-on-cervicalcancer-top10-factors", "kernel_id": "344215"}, {"ref": "arsenyinfo/h5py-caching-for-fast-data-access", "kernel_id": "321407"}, {"ref": "alekseit/simple-bounding-boxes", "kernel_id": "328926"}, {"ref": "opanichev/baseline-middle-of-frame", "kernel_id": "321288"}, {"ref": "allaboutdata/data-exploration-forked", "kernel_id": "332580"}, {"ref": "bguberfain/naive-keras-2", "kernel_id": "332810"}, {"ref": "bguberfain/average-mask-per-image-index", "kernel_id": "321467"}, {"ref": "bguberfain/naive-keras", "kernel_id": "321507"}, {"ref": "ironbar/getting-a-meaning-of-the-score", "kernel_id": "324756"}, {"ref": "ironbar/real-test-set-size-estimation", "kernel_id": "333714"}, {"ref": "ironbar/summary-table-of-the-best-solutions", "kernel_id": "376012"}, {"ref": "arseni/h5py-dataset-caching-with-shuffled-batch-generator", "kernel_id": "322320"}, {"ref": "kambarakun/mask-images-rle-strings-speed-test-4-methods", "kernel_id": "358228"}, {"ref": "patelt/carvana-train-unet-2queue-tf", "kernel_id": "338012"}, {"ref": "stainsby/fast-tested-rle", "kernel_id": "323495"}, {"ref": "stainsby/colour-correction-of-carvana-images", "kernel_id": "333945"}, {"ref": "netphone/how-does-the-image-scale-affect-dice-modified", "kernel_id": "342426"}, {"ref": "tunguz/baseline-2-optimal-mask", "kernel_id": "321667"}, {"ref": "tunguz/baseline-optimal-mask", "kernel_id": "321476"}, {"ref": "tunguz/baseline-compressed-middle-of-frame-lb-0-37", "kernel_id": "321392"}, {"ref": "vfdev5/data-visualization", "kernel_id": "321431"}, {"ref": "vfdev5/pil-vs-opencv", "kernel_id": "336366"}, {"ref": "danieleewww/baseline-optimal-mask", "kernel_id": "346211"}, {"ref": "danieleewww/baseline-optimal-mask-v4", "kernel_id": "346215"}, {"ref": "pavelgonchar/gradient-weights", "kernel_id": "353112"}, {"ref": "zfturbo/baseline-optimal-mask", "kernel_id": "321469"}, {"ref": "zfturbo/leaky-little", "kernel_id": "321617"}, {"ref": "zfturbo/baseline-full-frame", "kernel_id": "321262"}, {"ref": "ecobill/u-nets-with-keras", "kernel_id": "327619"}, {"ref": "paulorzp/getting-a-car-color", "kernel_id": "332848"}, {"ref": "paulorzp/fast-run-length-encode", "kernel_id": "321365"}, {"ref": "paulorzp/run-length-encode-and-decode", "kernel_id": "325552"}, {"ref": "jihyeseo/image-masking-identify-boundary", "kernel_id": "958657"}, {"ref": "krishnakumarsekar/quantum-machine-learning-i-am-back", "kernel_id": "326365"}, {"ref": "zusmani/baseline-optimal-mask", "kernel_id": "372192"}, {"ref": "zusmani/lb-0-35-baseline-compressed-middle-of-frame", "kernel_id": "372340"}, {"ref": "zusmani/baseline-2-optimal-mask", "kernel_id": "372342"}, {"ref": "rdebbe/is-segnet-a-good-model-for-sharp-edge-masking", "kernel_id": "364636"}, {"ref": "rdebbe/training-a-u-net-model-in-keras-theano", "kernel_id": "336374"}, {"ref": "mlagunas/naive-unet-with-pytorch-tensorboard-logging", "kernel_id": "346353"}, {"ref": "ekami66/little-eda-just-enough-to-get-started", "kernel_id": "344458"}, {"ref": "ekami66/clear-documented-a-to-z-code", "kernel_id": "351031"}, {"ref": "ogurtsov/unet-with-keras-and-r", "kernel_id": "365055"}, {"ref": "raresbarbantan/image-and-mask-preview", "kernel_id": "321451"}, {"ref": "sidharthkumar/lb-0-35-baseline-compressed-middle-of-frame", "kernel_id": "321405"}, {"ref": "dustni/image-format-converter", "kernel_id": "323627"}, {"ref": "rrqqmm/even-faster-submission", "kernel_id": "339704"}, {"ref": "daiearth22/tpot-on-cervicalcancer-top10-factors", "kernel_id": "419915"}, {"ref": "uiiurz1/how-does-the-image-scale-affect-dice", "kernel_id": "333390"}, {"ref": "kawaitsoi/convert-images-and-masks-to-tfrecords-file", "kernel_id": "364543"}, {"ref": "cortwave/baseline-optimal-mask-angle-opt", "kernel_id": "321527"}, {"ref": "jesyfax/gradient-weights", "kernel_id": "354533"}, {"ref": "akashdeepjassal/simple-solution", "kernel_id": "330686"}, {"ref": "hackxxy/u-nets-with-keras", "kernel_id": "327877"}, {"ref": "marklma/data-visualization-a981b1", "kernel_id": "333534"}, {"ref": "friedeks/predicting-masks-using-meta-data-only", "kernel_id": "366848"}, {"ref": "hackerpoet/ufo-fusion-reactor-art", "kernel_id": "323445"}, {"ref": "hackerpoet/even-faster-run-length-encoder", "kernel_id": "321924"}, {"ref": "adithyakag/notebook13971d69d5", "kernel_id": "338347"}, {"ref": "adithyakag/naive-keras", "kernel_id": "338455"}, {"ref": "adithyakag/data-visualization", "kernel_id": "328353"}, {"ref": "adithyakag/baseline-optimal-mask", "kernel_id": "420026"}, {"ref": "adithyakag/training-a-u-net-model-in-keras-theano", "kernel_id": "402767"}, {"ref": "adithyakag/unet-with-keras-and-r", "kernel_id": "402727"}, {"ref": "adithyakag/weighing-boundary-pixels-loss-script-by-keras2", "kernel_id": "402744"}, {"ref": "lyakaap/weighing-boundary-pixels-loss-script-by-keras2", "kernel_id": "347350"}, {"ref": "atalanteonthefly/data-viz", "kernel_id": "331658"}, {"ref": "ranjiewen/u-nets-with-keras", "kernel_id": "411119"}, {"ref": "thebanzal/qwerty", "kernel_id": "805357"}, {"ref": "kmader/vgg16-u-net-on-carvana", "kernel_id": "1225614"}, {"ref": "renatoh/carvana-read-data-pucp", "kernel_id": "1775977"}, {"ref": "renatoh/solved-carvana-read-data-pucp", "kernel_id": "1776146"}, {"ref": "ashishsinhaiitr/is-segnet-a-good-model-for-masking-purpose", "kernel_id": "1550304"}, {"ref": "ashishsinhaiitr/segnet", "kernel_id": "1529140"}, {"ref": "rainversion3/unet-carvana", "kernel_id": "1135390"}, {"ref": "sreenathds/sreenath-carvana", "kernel_id": "1922870"}, {"ref": "jmvictor5656/carvana-fast-ai", "kernel_id": "2103175"}, {"ref": "srinesh/unet-implementation-of-caravana-kernel", "kernel_id": "2041273"}, {"ref": "uysimty/carvana-image-masking", "kernel_id": "2747802"}, {"ref": "ingbiodanielh/caravana-segmentation", "kernel_id": "3403973"}, {"ref": "gaurav272333/unet-model-architecture", "kernel_id": "3676737"}, {"ref": "gaurav272333/unet-model-training", "kernel_id": "3601062"}, {"ref": "kraas27/segmentation", "kernel_id": "4748019"}, {"ref": "cankls3/carvana-pytorch", "kernel_id": "4997302"}, {"ref": "pechkin80/kernel5518dd9529", "kernel_id": "4119491"}, {"ref": "aleksandradeis/data-augmentation-packages-overview", "kernel_id": "5018125"}, {"ref": "drobchak1988/carvana-image-masking", "kernel_id": "5936158"}, {"ref": "vladimirn/kernel105da461b2", "kernel_id": "6138475"}, {"ref": "adithyakag/carvana-redo-not-working", "kernel_id": "6053038"}, {"ref": "saeedtqp/data-visualization", "kernel_id": "6640911"}, {"ref": "lalaboy/background-removal", "kernel_id": "6589170"}, {"ref": "iampaliwal/segment-with-fastai", "kernel_id": "7433084"}, {"ref": "taylorbrown/pil-vs-opencv", "kernel_id": "8673191"}, {"ref": "phylake1337/99-loss-simple-sol-using-u-net-keras-tf", "kernel_id": "8446340"}, {"ref": "gargkaman7/semantic-segemntation", "kernel_id": "9518070"}, {"ref": "iasonsky/99-loss-simple-sol-using-u-net-keras-tf", "kernel_id": "10118523"}, {"ref": "janvichokshi/image-segmentation", "kernel_id": "11678514"}, {"ref": "chirag003/car-image-segmentation", "kernel_id": "11371479"}, {"ref": "sgauravm/car-mask", "kernel_id": "11172604"}, {"ref": "manishkumar0/pil-vs-opencv", "kernel_id": "11394515"}, {"ref": "hotuanlong/u-net", "kernel_id": "12639581"}, {"ref": "maheshchoudhury135/segmentation-v4-final-unet", "kernel_id": "12161824"}, {"ref": "mariiakorliakova/unet-augmented", "kernel_id": "13599570"}, {"ref": "caiqingyang/carvana-unet", "kernel_id": "13803825"}, {"ref": "sharansmenon/notebook515b5fd0e7", "kernel_id": "14357967"}, {"ref": "rpsantosakaggle/unet-carvana", "kernel_id": "14134236"}, {"ref": "yacinerouizi/carvana-vgg19-u-net", "kernel_id": "15095032"}, {"ref": "shivsivakumar/carvana-vgg19-u-net", "kernel_id": "15301944"}, {"ref": "umutcanakdag/image-segmentation-u-net", "kernel_id": "15482138"}, {"ref": "dqhdqmcttdqx/carvana-challenge-unet", "kernel_id": "15969422"}, {"ref": "aromog/segmentaci-n-imagenes-red-neuronal", "kernel_id": "15142759"}, {"ref": "fadillahadamsyah/carvana-segmentation", "kernel_id": "15561761"}, {"ref": "estebannaranjom/seg-imag", "kernel_id": "15022978"}, {"ref": "estebannaranjom/segmentaci-n-imagenes", "kernel_id": "15070890"}, {"ref": "julichitai/carvana-cars-segmentation-keras", "kernel_id": "16105866"}, {"ref": "dikshabhati2002/image-segmentation-u-net", "kernel_id": "16950557"}, {"ref": "nuru91/caravana-u-net-with-vgg19", "kernel_id": "16390145"}, {"ref": "lalehsfz/carvana-image-segmentation-in-tensorflow", "kernel_id": "17941246"}, {"ref": "yaquijumaramos/carvana-masking", "kernel_id": "17320282"}, {"ref": "manickavela/segmentation-basic-unet-pytorch", "kernel_id": "18773609"}, {"ref": "huyuet/u-net", "kernel_id": "18482831"}, {"ref": "robiulcse12/image-segmentation-u-net-pytorch", "kernel_id": "18376964"}, {"ref": "thuyetpham/u-net-ver2", "kernel_id": "18483193"}, {"ref": "thuyetpham/u-net-ver1", "kernel_id": "18247616"}, {"ref": "mahedi61/unet-based-segmentation", "kernel_id": "19473745"}, {"ref": "suvooo/unet-pytorch", "kernel_id": "19304666"}, {"ref": "nandwalritik/u-net-pytorch", "kernel_id": "20855959"}, {"ref": "daniilkljukin357/carvana-image-segmentation-in-tensorflow", "kernel_id": "20902469"}, {"ref": "varshh/optisol-task", "kernel_id": "21296670"}, {"ref": "sergeykit/carvana-u-net-keras-full-kaggle", "kernel_id": "22819909"}, {"ref": "satya1013/unet-with-tensorflow", "kernel_id": "23917488"}, {"ref": "vladimirzotov/image-segmentation-u-net-modified", "kernel_id": "24094364"}, {"ref": "ipythonx/carvana-image-semantic-segmentation-starter", "kernel_id": "25224087"}, {"ref": "ripon107/carvana", "kernel_id": "25265953"}, {"ref": "jainishsavalia/image-segmentation", "kernel_id": "25142873"}, {"ref": "jsxyhelu2019/carvana-resnet34-pytorch-fastai", "kernel_id": "26141490"}, {"ref": "bencetar/unet-test-on-carvana", "kernel_id": "26584593"}, {"ref": "alanyu223/unet-segmentation-on-carvana-dataset", "kernel_id": "27486571"}, {"ref": "wasdac/image-segmentation-using-unet-with-pytorch", "kernel_id": "27564138"}, {"ref": "yousefradwanlmao/carvana-testing", "kernel_id": "29835388"}, {"ref": "seanreed1/draft-unet-segmentation-on-carvana-dataset", "kernel_id": "30565450"}, {"ref": "myominhtet/segmentation-with-eda-and-catalyst", "kernel_id": "30721220"}, {"ref": "myominhtet/a-simple-explanation-of-run-length-encoding", "kernel_id": "30087356"}, {"ref": "yousefradwanlmao/carvana-pipeline", "kernel_id": "30204614"}, {"ref": "bbueno5000/notebook6307f61987", "kernel_id": "31763622"}, {"ref": "agarwaladitya1019/image-segmentation-u-net", "kernel_id": "31806569"}, {"ref": "dipeshsingla/image-segmt-by-unet-with-pytorch-crack-detectio", "kernel_id": "31961491"}, {"ref": "viveksolanki2641/image-background-remover", "kernel_id": "31416335"}, {"ref": "dhruvikharadi/background-removal", "kernel_id": "31421387"}, {"ref": "nomercysagar/image-segmentation-using-unet-with-pytorch", "kernel_id": "31925312"}, {"ref": "co19344parnitkaur/image-segmentation-using-unet-with-pytorch", "kernel_id": "31889152"}, {"ref": "propialis/image-segmentation-using-unet-with-pytorch", "kernel_id": "31889165"}, {"ref": "nataliamakarevich/carvana-course-project", "kernel_id": "32529660"}, {"ref": "ilyamfsl/image-segmentation-using-unet-unet", "kernel_id": "32379990"}, {"ref": "ayushjangididd/semanticsegmentation", "kernel_id": "33731390"}, {"ref": "qdpatidar687/image-segmentation-u-net", "kernel_id": "33256822"}, {"ref": "anuraggupta806/optic-disc-segmentation-using-mobilenet", "kernel_id": "34349399"}, {"ref": "hugolearn/practice-image-segmentation-with-u-net", "kernel_id": "34522753"}, {"ref": "selvin3/u-net-model", "kernel_id": "34421957"}, {"ref": "selvin3/yolov7-grabcut", "kernel_id": "34036794"}, {"ref": "shravankumarpai/basic-unet-usage", "kernel_id": "34071856"}, {"ref": "michaelswan/practice-image-segmentation-with-u-net", "kernel_id": "35364671"}, {"ref": "rounakkumbhakar/unet-segmentation", "kernel_id": "36458539"}, {"ref": "piyushtiwari123/semanticsegmentation", "kernel_id": "38014244"}, {"ref": "abhit007pandey/trans-unet-image-masking", "kernel_id": "40117403"}, {"ref": "ayushishukla12/transattunet", "kernel_id": "40114807"}, {"ref": "abhitpandey007/transunet-carvana", "kernel_id": "40160361"}, {"ref": "abhitpandey007/transunet", "kernel_id": "40117710"}, {"ref": "abhitpandey007/transbts-segnet-carvana-complete", "kernel_id": "40026594"}, {"ref": "armanaghania/carvana-segmentation-challenge-done-with-u-net", "kernel_id": "41956651"}, {"ref": "rumitpathare/custom-mobilenetv2-u-net-model-optimised", "kernel_id": "42254436"}, {"ref": "hsw1212/unet-multi-classification", "kernel_id": "42895502"}, {"ref": "hsw1212/unet-binary-classification", "kernel_id": "42889785"}, {"ref": "hsw1212/unet-multi-classification-diceloss", "kernel_id": "42936636"}, {"ref": "giridharvaruganti/u-net-pytorch", "kernel_id": "43405638"}, {"ref": "edizaguirre/carvana-image-segmentation", "kernel_id": "43465683"}, {"ref": "halilbrahimhatun/carvana-segmentation-v1", "kernel_id": "44390899"}, {"ref": "gon213/carvana-image-masking-by-gontech", "kernel_id": "44351138"}, {"ref": "vladivashchuk/pytorch-unet-with-submission", "kernel_id": "47895727"}, {"ref": "agnijbiswas/carvana-image-masking", "kernel_id": "47161933"}, {"ref": "alaaibrahim222/unet-semantic-segmentation", "kernel_id": "48233398"}, {"ref": "mehmetkaangenc/image-segmentation-with-unet", "kernel_id": "50602078"}, {"ref": "aryan401/u-net-object-segmentation", "kernel_id": "51078935"}, {"ref": "maxinstellar/image-segmentation-using-unet-with-pytorch", "kernel_id": "52291613"}, {"ref": "maxkorjh/nikataloh", "kernel_id": "52406686"}, {"ref": "hhhhhh211/human-segmentation-95-dice-coef", "kernel_id": "53791228"}, {"ref": "jadynmithani/convert-images-and-masks-to-tfrecords-file", "kernel_id": "55295595"}, {"ref": "peachwuhu/u-net", "kernel_id": "56705812"}, {"ref": "arunpratihast/image-segmentation-u-net", "kernel_id": "57682107"}, {"ref": "abdulrahmandaromosu/window-detection-2-0", "kernel_id": "60080255"}, {"ref": "krendus/unet-pratice", "kernel_id": "60074905"}, {"ref": "quanghari/roof-detection-unet", "kernel_id": "61966078"}, {"ref": "joe10mohamed/semantic-segmentation-unet", "kernel_id": "63656919"}, {"ref": "minhvudut/unet-demo", "kernel_id": "63658569"}, {"ref": "nataliyad87/notebook4db6228da7", "kernel_id": "64199516"}, {"ref": "nataliyad87/notebook4d5253c826", "kernel_id": "64215061"}, {"ref": "binman159/semantic-segmentation-unet", "kernel_id": "65856849"}, {"ref": "beyondhorizon19/coding-unet", "kernel_id": "66187043"}, {"ref": "sadawin/notebook54c21f4dfa", "kernel_id": "67111681"}, {"ref": "tany1404/unet-architecture-for-semantic-segmentation", "kernel_id": "67100632"}, {"ref": "alishajoya/alisha-unet-architecture-for-semantic-segmentation", "kernel_id": "68011205"}, {"ref": "manthanvijaybarhate/semantic-segemntation", "kernel_id": "70387701"}, {"ref": "rohandebnath/unet-from-scratch", "kernel_id": "72676516"}, {"ref": "shetu369/class-29-segmentation-secrets", "kernel_id": "73822833"}, {"ref": "dhamur/semantic-segmentation-using-u-net", "kernel_id": "73854413"}, {"ref": "dhamur/fork-of-u-net-carvana-image-masking-challenge-w-b", "kernel_id": "75019317"}, {"ref": "doaahelal/caravana-semantic-segmentation-with-unet", "kernel_id": "76935784"}, {"ref": "aliazimieco/is-purchase-date-the-redflag-for-bad-carvana-deals", "kernel_id": "77799253"}, {"ref": "dhamur/u-net-with-backbones-ensembling", "kernel_id": "78247351"}, {"ref": "saeidfaraji/dm-excercise-week06-carvana-pipeline", "kernel_id": "78182969"}, {"ref": "felixb754/u-net-implementation", "kernel_id": "80848820"}, {"ref": "devg05/attention-res-unet-m1-training", "kernel_id": "80513454"}, {"ref": "ayanokoji00/encoderattentionres-unet-training", "kernel_id": "80553631"}, {"ref": "varaaa1/unet-segmentation-on-carvana-dataset", "kernel_id": "80106151"}, {"ref": "devvidit/question-2", "kernel_id": "81120133"}, {"ref": "artitumir/question-2", "kernel_id": "82820876"}, {"ref": "artitumir/carvana-image-masking-challenge", "kernel_id": "82839258"}, {"ref": "prajaspw/unet-binary-segmentation", "kernel_id": "84059520"}, {"ref": "eternity0207/stanford-unet", "kernel_id": "87044254"}, {"ref": "khoalequangminh/notebook301dd3ca5a", "kernel_id": "88349200"}, {"ref": "zainabelsayedtaha/carvana-image-masking", "kernel_id": "89156447"}, {"ref": "radeveljic/multimedije-notebook", "kernel_id": "90335990"}, {"ref": "roxanneai/image-masking-challenge-carvana", "kernel_id": "90640523"}, {"ref": "harrykesh/student-teacher-approach", "kernel_id": "92824880"}, {"ref": "soroushjalali26/car-auction-risk-prediction-pipeline", "kernel_id": "94036521"}, {"ref": "nikita7364777/u-net-binary-segmentation", "kernel_id": "103062671"}, {"ref": "tantanhoang/carvana-challenge-unet-resnet34-backbone", "kernel_id": "103287291"}, {"ref": "tantanhoang/segmentation-unet-resnet34-cityscapes", "kernel_id": "103542822"}, {"ref": "zhourd/cie6004", "kernel_id": "103139919"}, {"ref": "abukanabek/image-segmentation-smp-package-tutorial", "kernel_id": "105397854"}, {"ref": "parsanusaiba/nuinseg", "kernel_id": "107855025"}, {"ref": "josiahsukumutie/topology-preserving-image-segmentation", "kernel_id": "111347310"}, {"ref": "tadjineamine/segmentation-workshop", "kernel_id": "114047524"}, {"ref": "lwen1243/carvana-challenge", "kernel_id": "118781769"}, {"ref": "hussienadelhassan/notebookfa53d02933", "kernel_id": "119996421"}, {"ref": "juandiegoparrapatio/parcial-3-pdi", "kernel_id": "119749559"}, {"ref": "yashpalthakor/implement-and-train-u-net", "kernel_id": "121082822"}, {"ref": "zahramollaey/carvana-segmentation-from-scratch", "kernel_id": "121415275"}, {"ref": "huynhtabdung/ai-lab6", "kernel_id": "121919914"}, {"ref": "lehuunhan/bt6-lehuunhan", "kernel_id": "122913412"}, {"ref": "say2003/dl-lab-8", "kernel_id": "125376733"}, {"ref": "mrinmaynath1/assignment-8", "kernel_id": "125961988"}, {"ref": "teudepdzai/mhc-segmentation", "kernel_id": "136402180"}]}
{"competition_id": "6944", "kernels": []}
{"competition_id": "6953", "kernels": []}
{"competition_id": "6960", "kernels": [{"ref": "gaborfodor/from-eda-to-the-top-lb-0-367", "kernel_id": "316095"}, {"ref": "sudalairajkumar/race-to-the-top-nycttd", "kernel_id": "316633"}, {"ref": "amazone/lightgbm-regressor", "kernel_id": "316515"}, {"ref": "amazone/starter-code-xgb-lb-0-4", "kernel_id": "316522"}, {"ref": "mnavas/mexico-city-and-quito-extra-data", "kernel_id": "316537"}, {"ref": "ambarish/tutorialstyle-edatomodel-lb-0-391", "kernel_id": "317800"}, {"ref": "danofer/datetime-embeddings-for-end-to-end-deep-learning", "kernel_id": "317866"}, {"ref": "selfishgene/yellow-cabs-tell-the-story-of-new-york-city", "kernel_id": "324239"}, {"ref": "naveenkaveti/eda-10-points", "kernel_id": "318525"}, {"ref": "usui113yst/basic-network-analysis-tutorial", "kernel_id": "331294"}, {"ref": "danijelk/beat-the-benchmark", "kernel_id": "317908"}, {"ref": "pappukrjha/firsttake", "kernel_id": "348185"}, {"ref": "skhemka/eda-location-correction-features-and-base-model", "kernel_id": "316015"}, {"ref": "opanichev/lightgbm-regressor", "kernel_id": "316259"}, {"ref": "alistairwalsh/how-would-google-maps-score-on-kaggle", "kernel_id": "320714"}, {"ref": "dcarmody/first-go", "kernel_id": "351270"}, {"ref": "wti200/exploratory-analysis-nyc-taxi-trip", "kernel_id": "316393"}, {"ref": "vedprakash93/kernelsawards-from-eda-to-the-top-lb-0-367", "kernel_id": "443546"}, {"ref": "vedprakash93/eda-feature-engineering-xgboost", "kernel_id": "443557"}, {"ref": "thomasseleck/new-york-city-taxi-trip-duration-full-eda", "kernel_id": "316198"}, {"ref": "thomasseleck/new-york-city-taxi-trip-duration-complete-eda", "kernel_id": "316399"}, {"ref": "kartikkannapur/nyc-taxi-trips-exploratory-data-analysis", "kernel_id": "321526"}, {"ref": "ivanl1/taxi-trips-as-air-distance-animation", "kernel_id": "333667"}, {"ref": "speedoheck/calculate-distance-with-geo-coordinates", "kernel_id": "322676"}, {"ref": "harel1986/eda-and-random-forest", "kernel_id": "337659"}, {"ref": "maheshdadhich/strength-of-visualization-python-visuals-tutorial", "kernel_id": "324741"}, {"ref": "poonaml/last-cab-to-new-york-animated-heatmap-trips-folium", "kernel_id": "353507"}, {"ref": "axelderomblay/running-mlbox-new-auto-ml-library", "kernel_id": "321862"}, {"ref": "axelderomblay/running-mlbox-new-automated-ml-package", "kernel_id": "321122"}, {"ref": "axelderomblay/running-mlbox-new-auto-ml-python-package", "kernel_id": "321045"}, {"ref": "mavezdabas/nyc-taxi-trip-model", "kernel_id": "321376"}, {"ref": "muditgaur/my-first-kernel", "kernel_id": "363373"}, {"ref": "tuomastik/black-yellow-nyc-taxi-trip-data-exploration", "kernel_id": "351983"}, {"ref": "wikunia/nyc-taxi-speed", "kernel_id": "325379"}, {"ref": "ferrarisf50/check-the-geopoints-if-is-water-or-land", "kernel_id": "538418"}, {"ref": "almclean/mxnet-auto-encoder-xgboost-lb-0-395", "kernel_id": "319651"}, {"ref": "mmotoki/time-series-including-nyc-s-biggest-snowstorm", "kernel_id": "316395"}, {"ref": "sairaviteja/initial-model-with-xgboost-0-445", "kernel_id": "331488"}, {"ref": "blackcore/eda-on-nyc-taxi-data", "kernel_id": "316236"}, {"ref": "donniedarko/darktaxi-tripdurationprediction-lb-0-385", "kernel_id": "317449"}, {"ref": "karelrv/nyct-from-a-to-z-with-xgboost-tutorial", "kernel_id": "331537"}, {"ref": "adityavcse/data-cleaning-using-randomforestregression", "kernel_id": "354425"}, {"ref": "drgilermo/dynamics-of-new-york-city-animation", "kernel_id": "317870"}, {"ref": "romainvincent/a-broken-neural-network", "kernel_id": "340625"}, {"ref": "remap1/xgboost-starter", "kernel_id": "316189"}, {"ref": "remap1/eda-nyc-taxi-without-the-useless-graphs", "kernel_id": "316162"}, {"ref": "misfyre/stacking-model-378-lb-375-cv", "kernel_id": "316988"}, {"ref": "misfyre/in-depth-nyc-taxi-eda-to-model-animation", "kernel_id": "317484"}, {"ref": "misfyre/keras-starter-script", "kernel_id": "318889"}, {"ref": "jonathande4/nyc-taxi-trip-exploration", "kernel_id": "316499"}, {"ref": "pjoshi15/eagle-eye-on-new-york", "kernel_id": "347057"}, {"ref": "lbronchal/xgboost-start-model", "kernel_id": "316222"}, {"ref": "ps2811/viewing-nyc-taxi-trips-with-plotly", "kernel_id": "356724"}, {"ref": "yojimbo/quick-exploration-of-the-data-unusual-journeys", "kernel_id": "333989"}, {"ref": "algonell/nyc-taxi-fusion", "kernel_id": "316414"}, {"ref": "muhammedazamkhan/interactive-data-visualization-nyc-taxi-trip", "kernel_id": "325955"}, {"ref": "millerintllc/efficient-computation-of-distances-in-r", "kernel_id": "316163"}, {"ref": "bhavintandel/hidden-slayers-eda-b", "kernel_id": "346677"}, {"ref": "seaknow/how-to-handle-dates-and-coordinates-distances", "kernel_id": "316407"}, {"ref": "caropie67/time-series-heat-map-calendar", "kernel_id": "318894"}, {"ref": "optimum/feature-correlation", "kernel_id": "339190"}, {"ref": "optimum/initial-submission", "kernel_id": "330351"}, {"ref": "pavetr/simple-xgb-model-with-lb-0-38", "kernel_id": "334505"}, {"ref": "pfichou/xgboost-basic-lb-0-421", "kernel_id": "316821"}, {"ref": "somesnm/heatmap-of-pubs-and-bars-of-new-york-city", "kernel_id": "352313"}, {"ref": "somesnm/new-york-parties-eda", "kernel_id": "323863"}, {"ref": "animesh371/nyc-taxi-trip-duration-analysis", "kernel_id": "327563"}, {"ref": "zattoo123/eda-nyc-ttt", "kernel_id": "358614"}, {"ref": "anirudh796/nyc-ride-time-prediction-eda-machine-learning", "kernel_id": "330938"}, {"ref": "mehrshad/dynamics-of-new-york-city-animation", "kernel_id": "341643"}, {"ref": "lgilbey/predicting-nyc-taxi-trip-times", "kernel_id": "317466"}, {"ref": "mrisdal/last-place-laura-benchmark", "kernel_id": "315502"}, {"ref": "pschale/xgboost-and-weather-data-scraping", "kernel_id": "317966"}, {"ref": "msmenegol/last-place-benchmark-in-python-start-here", "kernel_id": "335781"}, {"ref": "priyanka13/randomforest-nyc-taxitrip", "kernel_id": "335905"}, {"ref": "priyanka13/nyc-using-xgboost-0-41", "kernel_id": "335935"}, {"ref": "greymatter8654/new-york-city-taxi-trip-duration", "kernel_id": "317330"}, {"ref": "ccinusa/new-york-city-taxi-trip-duration", "kernel_id": "514788"}, {"ref": "gemartin/nyc-taxi-trip-duration-a-simple-eda", "kernel_id": "341008"}, {"ref": "ratna364/new-york-taxi-trip-duration", "kernel_id": "351895"}, {"ref": "mmrosenb/nycttd-exploratory-data-analysis", "kernel_id": "354724"}, {"ref": "aakashnain/eda-nytaxi", "kernel_id": "315972"}, {"ref": "danielviray/for-beginners-how-to-clean-the-data", "kernel_id": "323377"}, {"ref": "danielviray/simple-to-understand-eda-v2", "kernel_id": "323566"}, {"ref": "danielviray/clustering-coordinates-into-neighborhoods", "kernel_id": "331762"}, {"ref": "danielviray/clustering-by-district-using-k-means-algorithm", "kernel_id": "327538"}, {"ref": "sidv1993/nyc-taxi-trip-duration-prediction", "kernel_id": "353230"}, {"ref": "eliotbarr/stacking-model", "kernel_id": "316398"}, {"ref": "jihyeseo/nyc-taxi-trip-eda-time-series-duration-predict", "kernel_id": "957781"}, {"ref": "crailtap/basic-network-analysis-tutorial", "kernel_id": "328176"}, {"ref": "surajrusc/nyc-taxi-trip-duration", "kernel_id": "396085"}, {"ref": "torostink/eda-data-cleansing-creating-metrics", "kernel_id": "320611"}, {"ref": "gmanjunath/nyc-taxi-rides-distance-matrix", "kernel_id": "330750"}, {"ref": "walidsalah/nytaxi-applied-machine-learning-process", "kernel_id": "316467"}, {"ref": "chbimo/mapping-net-flow-of-pickup-and-dropoff", "kernel_id": "347504"}, {"ref": "chbimo/time-series-daily-behavior", "kernel_id": "347525"}, {"ref": "alexattia/data-exploration-rf", "kernel_id": "316569"}, {"ref": "charvi/nyc-taxi-eda-xgboost-keras", "kernel_id": "529029"}, {"ref": "zusmani/from-eda-to-the-top-lb-0-367-0b5948", "kernel_id": "372238"}, {"ref": "zusmani/exploratory-analysis-nyc-taxi-trip", "kernel_id": "328214"}, {"ref": "zusmani/from-eda-to-the-top-lb-0-367", "kernel_id": "328216"}, {"ref": "jeevantk/exploration-and-prediction-using-random-forests", "kernel_id": "316204"}, {"ref": "ryanallred/ryan-allred-taxis", "kernel_id": "332729"}, {"ref": "jamway/nyc-taxi-peak-off-peak-eda-v0-1", "kernel_id": "319683"}, {"ref": "doctord/calculating-distance-using-google-maps-api", "kernel_id": "316173"}, {"ref": "braver/basic-linear-model-with-haversine-distance", "kernel_id": "316224"}, {"ref": "vishal86/fork-of-eda-of-nyc-taxi-85c7fd", "kernel_id": "316429"}, {"ref": "vishal86/fork-of-eda-of-nyc-taxi", "kernel_id": "316373"}, {"ref": "vishal86/nyc-eda-clustering-tensorflow-prediction", "kernel_id": "316206"}, {"ref": "brianfong192/predicting-trip-durations-with-xgboost-lb-0-433", "kernel_id": "337263"}, {"ref": "ocaudevi/passanger-flow-mapping-properties", "kernel_id": "316293"}, {"ref": "monkeydunkey/trip-visualization-and-analysis", "kernel_id": "318189"}, {"ref": "iammangod96/get-notified-when-algorithm-has-completed-running", "kernel_id": "340774"}, {"ref": "rdebbe/introducing-a-geodesic-distance", "kernel_id": "318923"}, {"ref": "inherentlysequential/wip-tutorial-eda-feateng-model", "kernel_id": "316556"}, {"ref": "guled7/gotham-city-drop-off-pickup-map-visualization", "kernel_id": "316280"}, {"ref": "jiangting/some-data-transformation-and-clean-up", "kernel_id": "316533"}, {"ref": "kostyabahshetsyan/day-night-pickup-dropoff-animation", "kernel_id": "321693"}, {"ref": "kostyabahshetsyan/day-night-and-pickup-dropoff-animation", "kernel_id": "345689"}, {"ref": "nandys/tutorial-getting-started", "kernel_id": "329096"}, {"ref": "nandys/ml-tutorial-r-users-pl-0-42", "kernel_id": "331841"}, {"ref": "damianpanek/interactive-eda-weather-dataset", "kernel_id": "318759"}, {"ref": "damianpanek/interactive-eda-nytaxi-highchar-leaflet", "kernel_id": "316346"}, {"ref": "pravandan/how-pickup-time-influences-result", "kernel_id": "341028"}, {"ref": "debanjanpaul/nyc-taxi-rides-distance-matrix", "kernel_id": "320170"}, {"ref": "currie32/an-ensemble-approach-w-random-search-lb-0-393", "kernel_id": "320178"}, {"ref": "davidfumo/nyc-trip-eda-and-xgb-starter", "kernel_id": "316279"}, {"ref": "marytj/nyc-taxi-data", "kernel_id": "356504"}, {"ref": "pgsupe/xgboost-model-0-56", "kernel_id": "316433"}, {"ref": "pgsupe/linear-regression-in-r", "kernel_id": "318092"}, {"ref": "yuanwxu/nyc-taxi-trip-duration-prediction", "kernel_id": "325227"}, {"ref": "pallavr/exploratory-analysis-of-data", "kernel_id": "316108"}, {"ref": "jeru666/taxi-o-taxi-myanalysis-part-4", "kernel_id": "322193"}, {"ref": "jeru666/taxi-o-taxi-modeling-with-the-outlaws", "kernel_id": "322783"}, {"ref": "jeru666/taxi-o-taxi-my-analysis-part-2", "kernel_id": "319410"}, {"ref": "jeru666/taxi-o-taxi-my-analysis-part-3-distances", "kernel_id": "319502"}, {"ref": "jeru666/taxi-o-taxi-my-analysis-part-1", "kernel_id": "319523"}, {"ref": "jeru666/modeling-after-removing-outliers-gradient-boost", "kernel_id": "326582"}, {"ref": "jroy17/nyc-eda-using-gmaps", "kernel_id": "338721"}, {"ref": "frednavruzov/nyc-taxi-eda-feature-engineering", "kernel_id": "316220"}, {"ref": "danvargg/nyc-trips-duration", "kernel_id": "327584"}, {"ref": "ayaseeli/starter", "kernel_id": "331550"}, {"ref": "andreslindner/nyc-taxi-trip-duration-competition-gtlv", "kernel_id": "339324"}, {"ref": "maxphilipp/pickup-time-exploration", "kernel_id": "316183"}, {"ref": "lemur78/finding-hidden-features-and-xgboost-model", "kernel_id": "326076"}, {"ref": "lemur78/explore-train-data-with-r", "kernel_id": "322359"}, {"ref": "lemur78/gbm-in-h2o", "kernel_id": "321366"}, {"ref": "lemur78/random-forest-on-h2o", "kernel_id": "320885"}, {"ref": "lemur78/simple-random-forest", "kernel_id": "320893"}, {"ref": "mainya/stacking-xgboost-lightgbm-catboost", "kernel_id": "338077"}, {"ref": "aumashe/an-interactive-visualization", "kernel_id": "320555"}, {"ref": "aumashe/taxi-trip-data-visualization-with-basemap", "kernel_id": "317238"}, {"ref": "naveenjafer/weather-and-avg-speed-correlation", "kernel_id": "317223"}, {"ref": "madhavt/yet-another-data-visualization-notebook", "kernel_id": "344054"}, {"ref": "te87037/using-google-map-distance-matrix", "kernel_id": "326998"}, {"ref": "ahmedanis03/an-eda-trip-in-nyc-taxi-rides", "kernel_id": "317660"}, {"ref": "dextrousjinx/brief-insight-on-nyc-taxi", "kernel_id": "316772"}, {"ref": "clover199/notebook7b738d4ca5", "kernel_id": "328577"}, {"ref": "parthgarg30/feature-engineering", "kernel_id": "336471"}, {"ref": "pecooper/trip-distances-using-haversine-formula", "kernel_id": "319529"}, {"ref": "pecooper/beat-the-benchmark-xgboost", "kernel_id": "320254"}, {"ref": "gloriasweet/feature-engineering-to-predict-trip-durations", "kernel_id": "318171"}, {"ref": "diptavo/initial-steps", "kernel_id": "316118"}, {"ref": "hanriver0618/nyc-taxi-data-exploration-visualization", "kernel_id": "316744"}, {"ref": "palashio/notebook74b81adc21", "kernel_id": "348397"}, {"ref": "esmaeil391/better-understanding-of-the-data", "kernel_id": "326320"}, {"ref": "tomcwalker/eda-feature-engineering-python-performance-tips", "kernel_id": "316549"}, {"ref": "maverick9999/notebook4f2f411209", "kernel_id": "319505"}, {"ref": "saiswapna/fork-of-fork-of-regression-analysis-of-taxi-trip", "kernel_id": "319584"}, {"ref": "saiswapna/fork-of-fork-of-fork-of-fork-of-fork-of-regression", "kernel_id": "318778"}, {"ref": "saiswapna/regression-analysis-on-taxi-trip", "kernel_id": "318735"}, {"ref": "saiswapna/notebook5a04663bf4", "kernel_id": "318743"}, {"ref": "viv696/uber-pickup-heatmap", "kernel_id": "317128"}, {"ref": "imrishabhgupta/new-york-trip-day", "kernel_id": "355401"}, {"ref": "imrishabhgupta/new-york-trip-notebook", "kernel_id": "355405"}, {"ref": "gwhiz2017/xgboost-with-parallelized-dataframe-transformation", "kernel_id": "336581"}, {"ref": "jatinraina/new-york-trip-duration-visualization-with-gbm", "kernel_id": "554301"}, {"ref": "zgljl2012/linear-regression", "kernel_id": "339191"}, {"ref": "juan1393/nyc-taxi-data-analysis", "kernel_id": "320421"}, {"ref": "asindico/from-exploration-to-prediction", "kernel_id": "316256"}, {"ref": "bhautikmakadiya/nyc-taxi", "kernel_id": "349450"}, {"ref": "haimfeld87/simple-randomforestregressor", "kernel_id": "318083"}, {"ref": "atmarouane/nyc-taxi-trips-osrm-time-series", "kernel_id": "359868"}, {"ref": "tonyux/taxi-getting-started-added-combined-features", "kernel_id": "317442"}, {"ref": "nilzone/exploratory-analysis-of-taxi-trips", "kernel_id": "317971"}, {"ref": "mrhighsenberg/eda-loss-of-0-460", "kernel_id": "326611"}, {"ref": "vincentliu3/neural-networks-approach-in-keras", "kernel_id": "325372"}, {"ref": "ankasor/driving-distance-using-open-street-maps-data", "kernel_id": "316878"}, {"ref": "kp4920/nyc-taxi-rides-eda", "kernel_id": "317436"}, {"ref": "kp4920/nyc-taxi-trip-eda", "kernel_id": "317426"}, {"ref": "asdftoger/folium-mapping-of-pickup-locations", "kernel_id": "316591"}, {"ref": "asdftoger/new-york-taxi-eda", "kernel_id": "316607"}, {"ref": "numberswithkartik/ohh-lets-score-high-with-less-efforts", "kernel_id": "345158"}, {"ref": "fabiaforever/notebook565c7b5c69", "kernel_id": "332343"}, {"ref": "fabiaforever/nyct-ea", "kernel_id": "332250"}, {"ref": "sheriytm/brewed-tpot-for-nyc-with-love-lb0-37", "kernel_id": "316795"}, {"ref": "parthparashar1682/nycab-solution", "kernel_id": "334530"}, {"ref": "wnanpi/quick-and-dirty-data-exploration", "kernel_id": "316490"}, {"ref": "codeblooded/new-york-city-taxi-trip-duration", "kernel_id": "316683"}, {"ref": "mschallwig/nyc-taxi-trips-genetically-modified-algorithms", "kernel_id": "316275"}, {"ref": "yohanb/fe-lightgbm-local-cv-0-37-0-002", "kernel_id": "316935"}, {"ref": "markominou/xgb-starter-lb-0-57", "kernel_id": "317103"}, {"ref": "plarmuseau/uber-spitting-profoundly-0-34", "kernel_id": "320425"}, {"ref": "plarmuseau/what-happened-13-march-at-2-00-nothing", "kernel_id": "321307"}, {"ref": "plarmuseau/taxitripprediction-clustering-solutions", "kernel_id": "338758"}, {"ref": "plarmuseau/the-taxi-skyline", "kernel_id": "330736"}, {"ref": "jlawman/simple-predictions-based-on-hour-and-distance", "kernel_id": "358244"}, {"ref": "muonneutrino/nyc-taxis-eda-and-mapping-position-to-borough", "kernel_id": "325864"}, {"ref": "anuragreddy333/exploratory-analysis-nyc-taxi-trip-c89c43", "kernel_id": "323257"}, {"ref": "eikedehling/comparing-models-xgb-lgb-rf-and-stacking", "kernel_id": "319156"}, {"ref": "bigshane/simple-visualization-for-xgb", "kernel_id": "358580"}, {"ref": "kevinbonnes/eda-nyc-taxi-trip-duration", "kernel_id": "316356"}, {"ref": "karthik28/eda-nytaxi", "kernel_id": "579537"}, {"ref": "datasam/a-basic-model-with-vincenty-distance", "kernel_id": "329500"}, {"ref": "akashdeepjassal/ensemble-regressors-to-find-taxi-ride-duration", "kernel_id": "317613"}, {"ref": "xujinhua/trafic", "kernel_id": "334254"}, {"ref": "tastelesswine/taxi-trip-duration", "kernel_id": "336226"}, {"ref": "vikasvikkyd/notebookb161e35dda", "kernel_id": "328112"}, {"ref": "eaturner/feature-engineering", "kernel_id": "316094"}, {"ref": "eaturner/neural-network-solution", "kernel_id": "317776"}, {"ref": "eaturner/initial-solution", "kernel_id": "316241"}, {"ref": "anyltcamitk/ny-taxi-trip-analysis", "kernel_id": "329429"}, {"ref": "chinki/multiple-regression", "kernel_id": "319680"}, {"ref": "mohamedjedidi/spatio-temporal-patterns-of-new-york-city", "kernel_id": "337805"}, {"ref": "headsortails/nyc-taxi-eda-update-the-fast-the-curious", "kernel_id": "316155"}, {"ref": "stephaniestallworth/nyc-taxi-eda-regression-fivethirtyeight-viz", "kernel_id": "359735"}, {"ref": "granaderos/forked-from-eda-to-the-top-lb-0-367", "kernel_id": "348797"}, {"ref": "trushk/data-exploration", "kernel_id": "335107"}, {"ref": "tmrlvi/hunting-outliers-temporal-and-spatial-analysis", "kernel_id": "324299"}, {"ref": "codepuree/explore-data-solution-with-inter-extrapolation", "kernel_id": "316130"}, {"ref": "johnzyh/nytaxi-0-39993", "kernel_id": "352073"}, {"ref": "dashaaa/using-google-maps-and-plotly-to-analyze-ny-taxi", "kernel_id": "337803"}, {"ref": "goodwebb/taxi-trip-by-nyc-eda", "kernel_id": "435698"}, {"ref": "waypointgroup/what-s-going-on-with-the-weather-data", "kernel_id": "334129"}, {"ref": "waypointgroup/we-need-to-help-debanjan-with-his-api-here-s-why", "kernel_id": "329686"}, {"ref": "waypointgroup/please-ignore", "kernel_id": "328868"}, {"ref": "waypointgroup/impact-of-weather-on-nyc-ride-data", "kernel_id": "324977"}, {"ref": "waypointgroup/sample-of-an-r-script-formatted-for-rmd", "kernel_id": "325065"}, {"ref": "waypointgroup/sample-rmd-file-generated-with-knitr", "kernel_id": "325101"}, {"ref": "waypointgroup/please-ignore-this-kernel", "kernel_id": "320729"}, {"ref": "jiexus/strength-of-visualization-python-visuals-tutorial", "kernel_id": "519772"}, {"ref": "ashishc17/nyc-eda", "kernel_id": "339688"}, {"ref": "ashishc17/exploratory-analysis-of-nyc-trip-data", "kernel_id": "340025"}, {"ref": "ashishc17/from-exploration-to-linear-regression-prediction", "kernel_id": "343691"}, {"ref": "merckel/deep-semi-supervised-learning", "kernel_id": "322546"}, {"ref": "merckel/autoencoder-and-deep-features", "kernel_id": "318177"}, {"ref": "merckel/simplistic-approach-using-xgboost", "kernel_id": "317196"}, {"ref": "merckel/fully-fledged-xkcd-theming-for-rf-gbm-glm-dl", "kernel_id": "334643"}, {"ref": "jackcook/incorporating-neighborhoods-into-your-model", "kernel_id": "318624"}, {"ref": "latuannetnam/xgbregressor-w-o-outliners-score-0-401", "kernel_id": "318375"}, {"ref": "latuannetnam/calculate-trip-distance-networkx", "kernel_id": "319888"}, {"ref": "amavuduru/eda-and-model-selection", "kernel_id": "320728"}, {"ref": "pceccon/beginner-s-approach-with-xgboost", "kernel_id": "320384"}, {"ref": "onlyshadow/a-practical-guide-to-ny-taxi-data-0-379", "kernel_id": "336921"}, {"ref": "rosshill96/an-irish-taxi-driver-walked-into-a-bar", "kernel_id": "345388"}, {"ref": "albertizo/exploring-the-data-for-nyc", "kernel_id": "348193"}, {"ref": "kivaschenko/trick-with-the-store-flags-xgboost", "kernel_id": "352885"}, {"ref": "kivaschenko/i-try-to-see-a-simple-model", "kernel_id": "326121"}, {"ref": "timsla/rush-hour-eda", "kernel_id": "316233"}, {"ref": "shyamkrishna19/basic-eda", "kernel_id": "342586"}, {"ref": "chuanguy/eda-on-nyc-taxi-unfinished", "kernel_id": "298676"}, {"ref": "mogwai/taxi-ride-eda-buckets-for-time-and-location", "kernel_id": "316564"}, {"ref": "virgoanalytics/nyc-taxi-rides-virgoanalytics", "kernel_id": "345245"}, {"ref": "mk9440/xgboost-complete-modeling-from-scratch-nyc", "kernel_id": "330464"}, {"ref": "pepeeee/nyc-estimating-avg-speed-using-fastest-route", "kernel_id": "347553"}, {"ref": "shaypatel/exploratory-analysis-for-beginners", "kernel_id": "318819"}, {"ref": "batangas/first-and-probably-last-kernel-just-trying", "kernel_id": "323178"}, {"ref": "thirupathi/initial-model", "kernel_id": "751259"}, {"ref": "boundter/exploration-of-the-nyc-taxi-challenge", "kernel_id": "316721"}, {"ref": "dsloet/my-first-submission", "kernel_id": "327475"}, {"ref": "dsloet/heatmap-plot-and-basemap-plot", "kernel_id": "323258"}, {"ref": "aankul/test-hidden-slayers", "kernel_id": "346408"}, {"ref": "rskn1987/new-york-city-taxi-trip-duration-r-code", "kernel_id": "336775"}, {"ref": "andymai92/first-look-of-taxi-problem-eda", "kernel_id": "317268"}, {"ref": "daigomiyoshi/nyc-taxi-trip-duration-v1", "kernel_id": "938165"}, {"ref": "logachevpa/trip-routes-visualisation-on-map-by-time", "kernel_id": "401909"}, {"ref": "retrospectprospect/nyc-taxi-trip-duration-eda-to-xgb", "kernel_id": "317244"}, {"ref": "rshally/nyc-taxi-short-light-gbm", "kernel_id": "361880"}, {"ref": "ankgoyal/nyc-cabs-data-digging", "kernel_id": "317680"}, {"ref": "ajkumar/nyc-data-cleaning-and-feature-engineering", "kernel_id": "398095"}, {"ref": "lucky94/my-first-eda-nyc-taxi", "kernel_id": "335343"}, {"ref": "adithyakag/strength-of-visualization-python-visuals-tutorial", "kernel_id": "694848"}, {"ref": "adithyakag/nyct-from-a-to-z-with-xgboost-tutorial", "kernel_id": "694882"}, {"ref": "ggalang/deep-neural-networks-approach-with-tensorflow", "kernel_id": "319139"}, {"ref": "floralwu/nyc-taxi-duration", "kernel_id": "327585"}, {"ref": "floralwu/random-forest-regression-nyc-taxi", "kernel_id": "337205"}, {"ref": "virgodata/nyc-taxi-rides-virgodata", "kernel_id": "320199"}, {"ref": "hamzaashraf/simple-to-understand-eda-v2", "kernel_id": "325107"}, {"ref": "hamzaashraf/nyc-taxi-eda-to-modeling", "kernel_id": "326027"}, {"ref": "theishank/nyc-trip-analysis-version-1-0", "kernel_id": "402051"}, {"ref": "kriaga/haversine-function", "kernel_id": "339409"}, {"ref": "christophaltaie01/nyc-taxi-rides-eda", "kernel_id": "321187"}, {"ref": "tiwari85aman/nyc-analysis-prediction", "kernel_id": "339161"}, {"ref": "tiwari85aman/nyc1-0", "kernel_id": "405859"}, {"ref": "tianyiwang/neighborhood-interaction-with-network-graph", "kernel_id": "347336"}, {"ref": "szecsip/ny-taxi", "kernel_id": "324844"}, {"ref": "harshobhit/work-hard-ride-short", "kernel_id": "406349"}, {"ref": "seraybeser/from-eda-to-the-top-lb-0-367", "kernel_id": "327049"}, {"ref": "mubashir44/nyc-taxi-eda", "kernel_id": "345519"}, {"ref": "mubashir44/xgboost-with-kfold-valid-lb-0-368", "kernel_id": "346573"}, {"ref": "mubashir44/feature-engineering-k-fold-xgboost", "kernel_id": "346350"}, {"ref": "msotir/nyct-exploration-with-seaborn-and-datashader", "kernel_id": "332348"}, {"ref": "georgercarder/estwaittime-ss-r", "kernel_id": "357713"}, {"ref": "hpulkkinen/using-the-manhattan-distance-with-random-forest", "kernel_id": "350361"}, {"ref": "fidelito8889/dynamics-of-new-york-city-animation", "kernel_id": "346015"}, {"ref": "yoannpradat/new-york-taxi-time-duration-prediction", "kernel_id": "357990"}, {"ref": "gviso97/eda-nyc-taxi-with-public-data-using-rhadoop", "kernel_id": "354070"}, {"ref": "bat123456/strength-of-visualization-python-visuals-tu-39bd97", "kernel_id": "345034"}, {"ref": "valabaron/nyc-taxi-data", "kernel_id": "355360"}, {"ref": "leilitum/new-york-city-taxi-trip-duration", "kernel_id": "358634"}, {"ref": "shadyscientist/basic-trip-distance-analysis", "kernel_id": "383671"}, {"ref": "sarathchandra12/new-york-trip-duration-visualization-with-gbm", "kernel_id": "556868"}, {"ref": "carlice/new-york-taxi-trip-duration-practice", "kernel_id": "569456"}, {"ref": "yuvalja/data-exploration-simple-learning-taxi-duration", "kernel_id": "506500"}, {"ref": "mmohitm/xgboost", "kernel_id": "791447"}, {"ref": "mmohitm/mlp-regressor-on-nyc", "kernel_id": "803320"}, {"ref": "schatz37/new-york-taxi-godong", "kernel_id": "575059"}, {"ref": "amanwadhwa/nyc-taxi-trips-exploratory-data-analysis", "kernel_id": "747631"}, {"ref": "hobilek/mlp-regressor-on-nyc-303da2", "kernel_id": "1068358"}, {"ref": "bertcarremans/xgboost-integrating-pandas-and-sklearn", "kernel_id": "1372857"}, {"ref": "aiswaryaramachandran/eda-baseline-model-0-40-rmse", "kernel_id": "1425760"}, {"ref": "rchitic17/nyc-cab-xgb", "kernel_id": "1367470"}, {"ref": "tastelesswine/lightgbm-regressor", "kernel_id": "1307273"}, {"ref": "gallarus/nyc-taxi-advanced-neural-networks-with-keras", "kernel_id": "1042476"}, {"ref": "rdcmdev/2016-nyc-taxi-trip-neural-network", "kernel_id": "1027918"}, {"ref": "rdcmdev/fork-of-2016-nyc-taxi-trip-xgboost", "kernel_id": "1031912"}, {"ref": "rdcmdev/2016-nyc-taxi-trip-linear-regression", "kernel_id": "1031676"}, {"ref": "rdcmdev/2016-nyc-taxi-trip-decision-tree", "kernel_id": "1031472"}, {"ref": "rdcmdev/2016-nyc-taxi-trip-classroom-project", "kernel_id": "1033901"}, {"ref": "kaeken/netwrokx-test", "kernel_id": "1213629"}, {"ref": "chidchanok/basic-network-analysis-tutorial", "kernel_id": "1766768"}, {"ref": "atrisaxena/new-york-city-taxi-playground-with-xgboost", "kernel_id": "1367844"}, {"ref": "himanshu1997/hchauhan", "kernel_id": "1484572"}, {"ref": "rishabhgarg1023/trip-time", "kernel_id": "1011041"}, {"ref": "katrna/exploratory-analysis-nyc-taxi-trip-74243d", "kernel_id": "1167991"}, {"ref": "jemimaj/nyc-taxi-duration-1", "kernel_id": "1285337"}, {"ref": "jemimaj/new-york-city-taxi-visualization11015", "kernel_id": "1284864"}, {"ref": "emmmie/nyc-taxi-trip-prediction", "kernel_id": "1283036"}, {"ref": "hammieds/real-time-dynamic-taxi-fare-prediction", "kernel_id": "1957327"}, {"ref": "au1206/nyc-taxi-duration-prediction-using-xgboost", "kernel_id": "1587182"}, {"ref": "hobilek/nyc-trips-amld", "kernel_id": "2732136"}, {"ref": "skotty971/taxi-trip-duration", "kernel_id": "2282969"}, {"ref": "mojakapow/baseline-nyc-taxi", "kernel_id": "2860116"}, {"ref": "zheye1218/nyc-taxi-starter-code", "kernel_id": "2112973"}, {"ref": "ritusharma812458/nyctsubmission", "kernel_id": "2142690"}, {"ref": "baoanh/nyc-taxi-trip-duration-by-nguyen-khac-bao-anh", "kernel_id": "2751371"}, {"ref": "baoanh/nyc-taxi-duration-eda-by-nguyen-khac-bao-anh", "kernel_id": "2805241"}, {"ref": "hmshreyas7/nyc-taxi-trip-duration", "kernel_id": "2138412"}, {"ref": "identiq/new-york-city-taxi-trip-duration", "kernel_id": "2863342"}, {"ref": "gregyb/nyc-taxi-gr-goire", "kernel_id": "2858727"}, {"ref": "affoumou/taxi-prediction", "kernel_id": "2860520"}, {"ref": "adrian1acoran/nyc-taxi-eda-update-the-fast-the-curious", "kernel_id": "2036032"}, {"ref": "penny8/my-sub1", "kernel_id": "2427360"}, {"ref": "cbecret/kernelaf28df944b", "kernel_id": "2791376"}, {"ref": "eliasaph/nyc-taxi-lyes-bouali", "kernel_id": "2819545"}, {"ref": "sophieli57/data-visualization-python-programming", "kernel_id": "2866300"}, {"ref": "sophieli57/fork-of-data-visualization-intro", "kernel_id": "2996308"}, {"ref": "seand97/kernelf037f97369", "kernel_id": "2089392"}, {"ref": "mnds18/nyc-taxi-eda-mrig", "kernel_id": "2977087"}, {"ref": "david75116/david-leroy-nyc-taxi-prediction", "kernel_id": "2798237"}, {"ref": "antoinecabon/antoine-cabon-ny-taxi-duration", "kernel_id": "2802992"}, {"ref": "massi006/nyc-taxi-duration-sabi-massi", "kernel_id": "2854457"}, {"ref": "skeptikode/nyc-taxi-trip-duration-eda-modeling", "kernel_id": "2820731"}, {"ref": "skeptikode/nyc-taxi-trip-duration-eda-predictive-modeling", "kernel_id": "2913559"}, {"ref": "schuckvincent/nyc-taxi-trip-duration", "kernel_id": "2786552"}, {"ref": "tazertazer/bocquillon-pierre-randomforest-prediction", "kernel_id": "2791301"}, {"ref": "doneill612/nyc-taxi-trip-duration-v2-don-hetic", "kernel_id": "2882424"}, {"ref": "junior1997/gdut-nyc-taxi-data-mining", "kernel_id": "2555734"}, {"ref": "tayeb31/nyc-taxi-duration", "kernel_id": "2817819"}, {"ref": "makimoko/kernel046d1899bb", "kernel_id": "2817928"}, {"ref": "razarocket/nyc-trip-duration-first-try", "kernel_id": "2817350"}, {"ref": "oceanecharlery/oceane-charlery-taxi-trip-duration", "kernel_id": "2848673"}, {"ref": "xaviertrs/nyc-taxi-trip-duration-by-xavier-terrasson", "kernel_id": "2785523"}, {"ref": "asmasem/new-york-city-taxi-trip-duration-as", "kernel_id": "2866636"}, {"ref": "mmyriam16/fork-of-nyc-taxi-trip-m-myriam", "kernel_id": "2820748"}, {"ref": "cgaulier/gaulier-clemence-prediction-test", "kernel_id": "2791313"}, {"ref": "darcelvictor/ny-taxi", "kernel_id": "2812733"}, {"ref": "mariaman95/mariama-ndiaye-nytaxi-data-science", "kernel_id": "2835472"}, {"ref": "landrymo/nyc-trip-duration-landry-momeni", "kernel_id": "2849076"}, {"ref": "quentinmonmousseau/ml-workflow-lightgbm-0-37-randomforest-0-39", "kernel_id": "2805001"}, {"ref": "alexlegars/ny-taxi-trip-duration-alexandre-le-gars", "kernel_id": "2818100"}, {"ref": "dilva25/new-york-taxi-trip-duration", "kernel_id": "2814139"}, {"ref": "comems/nytaxis-comems-machine-learning", "kernel_id": "2800699"}, {"ref": "bybell/nyc-taxi-trip-duration", "kernel_id": "2818880"}, {"ref": "celineph/new-york-city-taxi-trip-duration", "kernel_id": "2818643"}, {"ref": "freel21/moreno-antonin-first-attempt", "kernel_id": "2818059"}, {"ref": "brendanp/poirier-brendan-prediction", "kernel_id": "2817231"}, {"ref": "younesayeb/nyc-taxi-trip-duration-ayeb", "kernel_id": "2877082"}, {"ref": "sylvainfranco/nyc-taxi-trip-duration-sfranco", "kernel_id": "2858823"}, {"ref": "sereyvuthc/chum-sereyvuth-nyc-taxi-trip-duration", "kernel_id": "2791315"}, {"ref": "beymehdi/taxi-nyc-duration-bey-mehdi", "kernel_id": "2815161"}, {"ref": "lilmane/ny-taxi-prediction-lounis", "kernel_id": "2828374"}, {"ref": "antoninbln/nyc-taxis-trip-duration", "kernel_id": "2804028"}, {"ref": "yvestrang/nyc-taxi-trip-duration-by-trang-yves", "kernel_id": "2813342"}, {"ref": "charlespv/taxi-trip-duration-prediction-charlespv", "kernel_id": "2813247"}, {"ref": "redoo8x/nyc-trip-duration-prediction-redah", "kernel_id": "2819004"}, {"ref": "boristchague/nycttc-boris-tchague", "kernel_id": "2820525"}, {"ref": "robinmichay/rmichay-nyc-taxi-kaggle", "kernel_id": "2862744"}, {"ref": "superfadx/nyc-taxi-trip-duration-prediction-fady-hallek", "kernel_id": "2858728"}, {"ref": "njelili/nyc-taxi-duration-nour", "kernel_id": "2863037"}, {"ref": "hugowind/hugo-submission", "kernel_id": "2862903"}, {"ref": "floriancpchx/nyc-taxi-trip-duration-fc-hetic", "kernel_id": "2858726"}, {"ref": "hellococo/nyc-trip", "kernel_id": "2862884"}, {"ref": "mlwhiz/feature-creation", "kernel_id": "3942124"}, {"ref": "chidambara/nyc-taxi-trip-duration", "kernel_id": "3312340"}, {"ref": "carlosfra/nyc-taxi-eda-regression-fivethirtyeight-viz", "kernel_id": "3171195"}, {"ref": "altruistdelhite04/nyc-taxi-eda-update-the-fast-the-curio-1947dd", "kernel_id": "3382981"}, {"ref": "nongnoochr/nyctaxitripduration-defaultrandomforest-scaling", "kernel_id": "3957679"}, {"ref": "nongnoochr/nyctaxitripduration-defaultrandomforest-1sttry", "kernel_id": "3953255"}, {"ref": "xinping44444/dynamics-of-new-york-city-animation", "kernel_id": "3984864"}, {"ref": "landrymo/nyc-taxi-prediction-momeni", "kernel_id": "3287352"}, {"ref": "paradiselost/tutorial-automl-capabilities-of-h2o-library", "kernel_id": "3514953"}, {"ref": "comems/fork-of-nytaxis-comems-maps-and-eda", "kernel_id": "3351476"}, {"ref": "baptistedhuicque/nyc-taxi-dhuicque", "kernel_id": "3252529"}, {"ref": "freel21/antonin-moreno-second-attempt", "kernel_id": "3335600"}, {"ref": "younesayeb/trynyctaxi", "kernel_id": "3258115"}, {"ref": "hugomez/new-york-city-taxi-trip-duration", "kernel_id": "3253511"}, {"ref": "manaan/xgboost-gridsearch", "kernel_id": "3954796"}, {"ref": "beymehdi/nyc-taxi-compet-bey", "kernel_id": "3347180"}, {"ref": "ikrmhlc/sklearn-xgboost", "kernel_id": "3920371"}, {"ref": "pularat/nyc-taxi-trip-duration-die-hard-three", "kernel_id": "3462071"}, {"ref": "mariamandiaye/nyc-taxi-duration-mariam-n", "kernel_id": "3579847"}, {"ref": "xlyue8cu/kernelb1db81124e", "kernel_id": "3977963"}, {"ref": "ivangord/nyctaxi-fin", "kernel_id": "4765276"}, {"ref": "dowaari/taxi-trip-duration-v1", "kernel_id": "4561512"}, {"ref": "tassiane/kernel708fbbe6a7", "kernel_id": "4401668"}, {"ref": "anoune/asy-nyttd-last-version", "kernel_id": "4184798"}, {"ref": "jedtassa/kernel-new-york-city", "kernel_id": "4173305"}, {"ref": "bgwendoline/kernel-gwendoline-billong", "kernel_id": "4173788"}, {"ref": "sturquier/taxi-kernel", "kernel_id": "4173523"}, {"ref": "pulsar10130/kernel208b789c11", "kernel_id": "4173693"}, {"ref": "tetevemasque/est-ve-evalutation", "kernel_id": "4173642"}, {"ref": "zakariae11/evaluation-zakariae", "kernel_id": "4173651"}, {"ref": "mangoal34/kernel3482df9bb7", "kernel_id": "4173603"}, {"ref": "sabderemane/train-taxi", "kernel_id": "4173564"}, {"ref": "branchard/kernel6e867e1092", "kernel_id": "4173612"}, {"ref": "cyrildev95/cyrilsantos-examtaxi", "kernel_id": "4173598"}, {"ref": "millie13/manuela-ghomsi-kernel", "kernel_id": "4173588"}, {"ref": "cheikhmbaye/ml-ealuation-cheikh-tidiane-mbaye", "kernel_id": "4173992"}, {"ref": "fenikkusu/cedric-kernel-new-york-city", "kernel_id": "4173501"}, {"ref": "haddadsteven/kernel-hs", "kernel_id": "4173470"}, {"ref": "djoparasite/kerneldelerayjonathantaxi", "kernel_id": "4173526"}, {"ref": "moadjr/kernel55ade7ff5b", "kernel_id": "4173697"}, {"ref": "gpelicant/kernelebf37339c3", "kernel_id": "4173710"}, {"ref": "lsergent/ls-examtaxi", "kernel_id": "4173533"}, {"ref": "remiar/kernel3cdfb871bc", "kernel_id": "4173467"}, {"ref": "ryagoubi/kerneleff85039b2", "kernel_id": "4173460"}, {"ref": "ehalifa/kernel-halifael-amin", "kernel_id": "4173462"}, {"ref": "yadechi/kernel-yadechi2", "kernel_id": "4182477"}, {"ref": "yadechi/kernel-yadechi3", "kernel_id": "4188708"}, {"ref": "ssf509/kernela45a33a206", "kernel_id": "4173535"}, {"ref": "chaimaa22/kernel5c8d9f9afe", "kernel_id": "4173597"}, {"ref": "alainsagna/kernel6445d1e7ad", "kernel_id": "4187050"}, {"ref": "cheinhtidiane/kernel2999147c42", "kernel_id": "4187014"}, {"ref": "abdenour1992/kernel0edc86be2a", "kernel_id": "4188021"}, {"ref": "atiafadi/eval-taxi-trip-af", "kernel_id": "4188311"}, {"ref": "rarara23/kernel-princesse-ngo-billong", "kernel_id": "4189114"}, {"ref": "ouadio/nyc-taxi-eda", "kernel_id": "5994277"}, {"ref": "ouadio/from-eda-to-modeling", "kernel_id": "5994315"}, {"ref": "dnzcihan/nyc-taxi-eda", "kernel_id": "5361441"}, {"ref": "anjaeju/ny-city-taxi-trip-duration", "kernel_id": "5725921"}, {"ref": "junheeshin/crazyj-newyork-taxidur", "kernel_id": "5261804"}, {"ref": "anndd3/keras-nn-data-exploration-v2-0", "kernel_id": "6218821"}, {"ref": "mshaked/random-forest-to-predict-taxi-ride-duration", "kernel_id": "6219453"}, {"ref": "jrw2200/nyc-taxi-trips-clustering", "kernel_id": "6088347"}, {"ref": "yasirhoque/nyc-taxi-fare-prediction", "kernel_id": "6255155"}, {"ref": "kjames14/taxi-price", "kernel_id": "6507959"}, {"ref": "patelj/nyc-taxi-trip", "kernel_id": "6060476"}, {"ref": "cfvargasf/test-nb", "kernel_id": "6160051"}, {"ref": "teru0rc4/20200104-newyorkcitytaxitripduration", "kernel_id": "7320301"}, {"ref": "gguddu/new-york-taxi-duration", "kernel_id": "7649707"}, {"ref": "joelpires/taxi-prediction-xgboost", "kernel_id": "7218336"}, {"ref": "victorf/projet", "kernel_id": "7297070"}, {"ref": "locbachelot/ny-taxis-trip", "kernel_id": "7258424"}, {"ref": "floooo/submission", "kernel_id": "8803636"}, {"ref": "carladg/final", "kernel_id": "8291304"}, {"ref": "arjun2000ashok/trip-time-estimator", "kernel_id": "8715578"}, {"ref": "soheilhosseini/new-york-city-taxi-trip-duration-xgboost", "kernel_id": "8811188"}, {"ref": "captaincolavin/kernel50ca14687c", "kernel_id": "8411035"}, {"ref": "cmedelaval/kernel3170c7301b", "kernel_id": "8293414"}, {"ref": "shinbg/new-york-city-taxi-trip-duration", "kernel_id": "8611001"}, {"ref": "maximevion/maxkernel", "kernel_id": "8735666"}, {"ref": "jeffreycbw/nyc-taxi-trip-public-0-37399-private-0-37206", "kernel_id": "9359767"}, {"ref": "bibhudas/geospatial-data-fare-optimization", "kernel_id": "9996703"}, {"ref": "evanricchi/nyc-taxi-trip-duration-final-version", "kernel_id": "9009629"}, {"ref": "richachoudhary8096/from-eda-to-the-top-lb-0-367", "kernel_id": "9000321"}, {"ref": "abhishek2mahato/newyorkcity-taxi-trip-duration-beginner-s-special", "kernel_id": "9826170"}, {"ref": "munmun2004/nyc-taxi", "kernel_id": "9781540"}, {"ref": "mksaad/nyc-taxi-trip-duration", "kernel_id": "10681699"}, {"ref": "sakshamsingh1904/taxi-nyc-notebook", "kernel_id": "10134539"}, {"ref": "liuxun801/from-eda-to-the-top-lb-0-367", "kernel_id": "10168437"}, {"ref": "abdalazez/new-york-city-taxi-trip-duration", "kernel_id": "10911138"}, {"ref": "mohgsam/new-york-city-taxi-trip-duration", "kernel_id": "10912352"}, {"ref": "ahmedmurad1990/nyc-taxi-trip-public-0-37399-private-0-37206", "kernel_id": "10889973"}, {"ref": "ahmedmurad1990/nyc-taxi", "kernel_id": "10890014"}, {"ref": "natalia1312/exploratory-data-analysis-ny-taxi-trip-duration", "kernel_id": "11377778"}, {"ref": "billymwas/notebooka7204da42c", "kernel_id": "11492169"}, {"ref": "rahulpawade/new-york-city-taxi-trip-duration-xgboost", "kernel_id": "11290290"}, {"ref": "jejutphyunchangwoo/nytaxi-neural-network-0813-3", "kernel_id": "11062975"}, {"ref": "neomatrix369/chaieda-nyc-taxi-trip-duration-data-prep", "kernel_id": "12741441"}, {"ref": "neomatrix369/chaieda-nyc-taxi-trip-duration-analysis", "kernel_id": "12868574"}, {"ref": "jinbonnie/subfinal", "kernel_id": "12445362"}, {"ref": "yanstoyanov/lab-4", "kernel_id": "12144814"}, {"ref": "pirsqrd/predictingtripduration", "kernel_id": "13639815"}, {"ref": "vladdotsenko/lab4-dotsenko-emp1", "kernel_id": "13240575"}, {"ref": "roysenfeng/new-york-taxi-eda", "kernel_id": "13822954"}, {"ref": "finlay/nyc-taxi-prediction", "kernel_id": "14732497"}, {"ref": "mehulk17126/xgboost-with-kfold-valid-lb-0-368", "kernel_id": "14732417"}, {"ref": "oleksiibernatskyi/git-taxi", "kernel_id": "14867010"}, {"ref": "qshick/nyc-taxi-trips", "kernel_id": "15579487"}, {"ref": "taimurzahid/taxi-trip-duration-prediction-anomaly-detection", "kernel_id": "15653134"}, {"ref": "thomashoulier/nyc-taxi-trip-duration", "kernel_id": "15236552"}, {"ref": "keerthanaksk/nyct-from-a-to-z-with-xgboost-tutorial", "kernel_id": "18362632"}, {"ref": "naiborhujosua/nyc-trip-duration-prediction", "kernel_id": "18938185"}, {"ref": "luisjimenezquesada/tarea-2-ny-taxis", "kernel_id": "18937161"}, {"ref": "imammaulana/taxi-trip-duration-prediction-anomaly-detection", "kernel_id": "18365032"}, {"ref": "kimhyelin/new-york-city-taxi-trip-duration-hl", "kernel_id": "18963529"}, {"ref": "yurimhwang/new-york-city-taxi-trip-duration-yr", "kernel_id": "19265848"}, {"ref": "acuamarco/m-rodriguez-02", "kernel_id": "19129928"}, {"ref": "fabar022/notebook93170b3597", "kernel_id": "19133562"}, {"ref": "hyunhp/eda-baseline-model-by-aiswarya", "kernel_id": "20150135"}, {"ref": "hyunhp/dynamics-of-new-york-city-written-by-omri", "kernel_id": "20528078"}, {"ref": "hyunhp/beat-the-benchmark-written-by-danijel", "kernel_id": "20779568"}, {"ref": "ganeshbhurewar/gmb-nyc-taxi-trips-exploratory-data-analysis", "kernel_id": "21566849"}, {"ref": "suruki/taxi-trip-duration-suruki", "kernel_id": "21167144"}, {"ref": "icarushotwings/trip-duration-prediction", "kernel_id": "22307669"}, {"ref": "tofunmiah/nyc-taxi-models-and-similarity", "kernel_id": "23452359"}, {"ref": "faridrizqis/folium-for-map-visualization", "kernel_id": "23515054"}, {"ref": "michiexile/mvj-taxi-trip-durations", "kernel_id": "24908565"}, {"ref": "kahacho/eda-baseline-model-for-nyc-taxi-trip-duration", "kernel_id": "24435152"}, {"ref": "inyeongkang/2022-ai-study-modeling", "kernel_id": "24552281"}, {"ref": "mirhyun0508/2022-smarcle-ai-study-nyc-taxi-trip-duration-eda", "kernel_id": "24529371"}, {"ref": "jiyajiwon/smarcle-2022-ai-study-nyc-taxi-trip-duration", "kernel_id": "24504111"}, {"ref": "likatoklikishvili/nyc-taxi-trip-duration-gau", "kernel_id": "24418096"}, {"ref": "leeyongbin/2022-smarcle-ai-nyc-taxi-trip-duration-modeling", "kernel_id": "24559934"}, {"ref": "younseo54/notebookb2ae3f3761", "kernel_id": "24556210"}, {"ref": "younseo54/notebookebfdbeff38", "kernel_id": "24561757"}, {"ref": "michiexile/mvj-taxi-trip-durations-using-residual-prediction", "kernel_id": "25234290"}, {"ref": "michiexile/mvj-taxi-trip-durations-only-store-and-forward", "kernel_id": "25350625"}, {"ref": "kicker/nyc-taxi-trip-duration-eda", "kernel_id": "25988925"}, {"ref": "egorkalugin/taxi-trip-duration", "kernel_id": "25617982"}, {"ref": "fabiopecora/notebook8ee43699e4", "kernel_id": "25072515"}, {"ref": "winsonrong/nyc-taxi-release", "kernel_id": "25233966"}, {"ref": "andreinovikov90/careem", "kernel_id": "26618658"}, {"ref": "nicholascomuni/notebook15cd36d95a", "kernel_id": "26738529"}, {"ref": "luwwrr/notebookff8da35e5a", "kernel_id": "27040385"}, {"ref": "hienvi/trip-duration-prediction", "kernel_id": "28524874"}, {"ref": "angadchau/taxi-time-prediction", "kernel_id": "28410653"}, {"ref": "anhonguynth/project-csc14115", "kernel_id": "28115181"}, {"ref": "yhbenpan/tsp-nyc", "kernel_id": "28023241"}, {"ref": "sayanf/predicting-taxi-trip-duration-in-nyc", "kernel_id": "29470862"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "shubhammoudgil/trip-duration-prediction-accuracy-lr-vs-decistree", "kernel_id": "29923742"}, {"ref": "cocorin/yh-cur-eda-baseline-model-0-40-rmse", "kernel_id": "29885911"}, {"ref": "cocorin/yh-cur-dynamics-of-new-york-city-animation", "kernel_id": "29803358"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "rinichristy/new-york-city-taxi-trip-duration-data-exploration", "kernel_id": "31831117"}, {"ref": "venthanvigneswaran/venthans-assignment2", "kernel_id": "31389581"}, {"ref": "nikihendel/notebook6eb4614ee0", "kernel_id": "31218752"}, {"ref": "daewonkimmate/simple-eda", "kernel_id": "32125070"}, {"ref": "salvarezgonz/nyc-taxi-duration-regression-lightgbm-ml-model", "kernel_id": "32875983"}, {"ref": "aut7767/newyork-taxi-unist", "kernel_id": "32004017"}, {"ref": "igones/trip-duration-eda-lgbm-0-40495", "kernel_id": "32357192"}, {"ref": "zawlinmaung/taxi-trip-duration-prediction-with-xgboost", "kernel_id": "32084560"}, {"ref": "mukulparmar26/taxi-trip-duration-eda-and-prediction-with-xgboost", "kernel_id": "32136071"}, {"ref": "yeonggeounkim/unist-ba-20226017-eda", "kernel_id": "32161836"}, {"ref": "yeonggeounkim/20226017-ba", "kernel_id": "32988988"}, {"ref": "djwerterrichmond/notebook075cd71b37", "kernel_id": "33901332"}, {"ref": "vivekatal/nyc-taxi-trip-duration", "kernel_id": "33041407"}, {"ref": "niyarrbarman/taxiduration", "kernel_id": "33545574"}, {"ref": "pentakrishnakishore/notebook36b0cbc2d7", "kernel_id": "33780262"}, {"ref": "dmtamm/nyc-taxi-russian", "kernel_id": "34995295"}, {"ref": "alpertaskiran/taxinyc-eda", "kernel_id": "36183229"}, {"ref": "kankanj/nyc-taxi-trip-duration", "kernel_id": "36481965"}, {"ref": "aleksejszudiins/project-5", "kernel_id": "37118584"}, {"ref": "ziyadsyauqi/novice-player", "kernel_id": "38714372"}, {"ref": "pranayrishith16/nyc-trip-duration", "kernel_id": "39625141"}, {"ref": "deepikakoche/new-york-city-taxi-trip-duration", "kernel_id": "39997075"}, {"ref": "harshitgokulpant/nyc-taxi-duration-regression-lightgbm-ml-model", "kernel_id": "40494251"}, {"ref": "stasbard/nyc-taxi-trip-duration-regression-task", "kernel_id": "40570893"}, {"ref": "ndssingh/newyork-city-taxi-rides", "kernel_id": "41450207"}, {"ref": "evgeniybubyr/project-5", "kernel_id": "42566343"}, {"ref": "ndssingh/newyork-taxi-trip-duration", "kernel_id": "42689237"}, {"ref": "nishchay331/pc-1-new-york-city-taxi-trip-duration", "kernel_id": "43676112"}, {"ref": "ilmirkalimullin/notebook743384a251", "kernel_id": "43937030"}, {"ref": "gtyptest/kryvohljabov-lab3", "kernel_id": "43215860"}, {"ref": "nguyenthehiep/newyork-taxi-trip-adtk", "kernel_id": "43037692"}, {"ref": "nhatranthanh/basic-network-analysis-tutorial", "kernel_id": "44329933"}, {"ref": "chenchalanaidu/taxi-problem", "kernel_id": "44059092"}, {"ref": "ivangavrish/havrysh-lab3", "kernel_id": "44772118"}, {"ref": "ivankozlovsky/kozlovsky-lab3", "kernel_id": "44704493"}, {"ref": "jowiry/new-york-taxi-trip-duration", "kernel_id": "44341859"}, {"ref": "levtegai/project-5-regression", "kernel_id": "44439445"}, {"ref": "nhduong1203/detailed-notebook", "kernel_id": "45840232"}, {"ref": "jacks53465835/lab-emp-3", "kernel_id": "46470751"}, {"ref": "honigwein/lab-3-emp-koshelev", "kernel_id": "46628503"}, {"ref": "jlallyx/lab-3", "kernel_id": "46710912"}, {"ref": "tobiweiss/predicting-the-duration", "kernel_id": "46290697"}, {"ref": "udbhavpangotra/nyc-eda-and-kmeans-and-model", "kernel_id": "47120639"}, {"ref": "sergeyexp/project-5", "kernel_id": "47602996"}, {"ref": "tobypu/anpred-uas-neural-network", "kernel_id": "48051809"}, {"ref": "danielavery/xgboost", "kernel_id": "48061582"}, {"ref": "albertsie/one-hot-encoding", "kernel_id": "48652556"}, {"ref": "jerremyjs/glm-method", "kernel_id": "48509315"}, {"ref": "smitraval24/new-york-city-taxi-trip-duration", "kernel_id": "48868697"}, {"ref": "danielavery/lasso", "kernel_id": "49318078"}, {"ref": "albertsie/ridge", "kernel_id": "49320338"}, {"ref": "jerremyjs/suprot-vektor-regresiong", "kernel_id": "49320515"}, {"ref": "mohankoruprolu/nyc-taxi-analysis", "kernel_id": "50742272"}, {"ref": "danibalcells/notebookcfc10242e8", "kernel_id": "51134023"}, {"ref": "belkacemmamou/nyc-taxi-duration-prediction", "kernel_id": "51071537"}, {"ref": "jihunhyeon/new-york-city-taxi-trip-duration", "kernel_id": "53880813"}, {"ref": "ahmedmagdyhosney/nyc-taxi-trip-duration-scatter-plot", "kernel_id": "53914551"}, {"ref": "ahmedmagdyhosney/nyc-taxi-trip-duration-feature-importance", "kernel_id": "53904208"}, {"ref": "himanshuarora1703/feature-engineering-on-taxi-data", "kernel_id": "53558581"}, {"ref": "jaysabnis/new-york-trip-duration-beginner-friendly-approach", "kernel_id": "55672667"}, {"ref": "kukuyk/taxi-nyc", "kernel_id": "55958308"}, {"ref": "yanukeem15/0430-nyc1", "kernel_id": "55888919"}, {"ref": "mmakemd/lesson-2", "kernel_id": "56817361"}, {"ref": "yaroslavav11/new-york-taxi-trip-duration", "kernel_id": "58384743"}, {"ref": "milistrotshow/03-07-2024", "kernel_id": "60409585"}, {"ref": "chichangyang/new-york-taxi-02", "kernel_id": "62279973"}, {"ref": "chenxiaolv/nyc-notebook", "kernel_id": "64221654"}, {"ref": "chenxiaolv/nyc-taxi-trip", "kernel_id": "64215880"}, {"ref": "rishibethi/feature-engineering-on-taxi-data", "kernel_id": "65954342"}, {"ref": "a7lia8del/taxi-trip-duration", "kernel_id": "66237112"}, {"ref": "mmakemd/lesson-2-epam-nyt", "kernel_id": "67381374"}, {"ref": "vladimirsviridenkov/homework", "kernel_id": "67379551"}, {"ref": "tea340yashjoshi/nyc-taxi-duration-prediction", "kernel_id": "67244201"}, {"ref": "dddrrddd/notebooke10afbeec1", "kernel_id": "67351321"}, {"ref": "chukwumaakunyili/lesson-4-epic", "kernel_id": "67109019"}, {"ref": "anacrnkovi/hw-1-nyc-taxi-epic-institute", "kernel_id": "67359009"}, {"ref": "m1ckyro5a/notebook1e2305243b", "kernel_id": "68540673"}, {"ref": "pehpeh/ds-homework-1-daniel-volostnov", "kernel_id": "68492282"}, {"ref": "csmohamedayman/tsf-numc-new-york-city-taxi-trip-duration", "kernel_id": "68577035"}, {"ref": "mmakemd/epam-nys-taxi-pandas-exercises", "kernel_id": "68166904"}, {"ref": "ruslanraupoff/ds-homework-1", "kernel_id": "68376214"}, {"ref": "veronikavoronova/homework1", "kernel_id": "68587142"}, {"ref": "firstprinciple/notebookff2bb1e3f1", "kernel_id": "68373976"}, {"ref": "artem3605/notebook2da1f96f2f", "kernel_id": "68574980"}, {"ref": "alaminkawsar/ds-1-lab-1", "kernel_id": "68578094"}, {"ref": "abdurrahimsheikh/nyc-taxi", "kernel_id": "68406503"}, {"ref": "martynass/pandas-practice-hw", "kernel_id": "68569961"}, {"ref": "nicholasfoo97/homework-1", "kernel_id": "68495458"}, {"ref": "retracere/notebook408aa88fe4", "kernel_id": "68696634"}, {"ref": "katsiarynahurskaya/nyc-taxi-hw-1", "kernel_id": "68429356"}, {"ref": "dddrrddd/notebook05f17cd8fa", "kernel_id": "68603610"}, {"ref": "timuramangeldiyev/ds-hw1", "kernel_id": "68596699"}, {"ref": "hazemalrawi/epic-ds-hw-1", "kernel_id": "68937505"}, {"ref": "alaaawd/task1", "kernel_id": "68693157"}, {"ref": "mohamedsaad01/notebookafa4e24c02", "kernel_id": "68406591"}, {"ref": "aliyayasser/task1", "kernel_id": "68659043"}, {"ref": "aliyayasser/ds-task1", "kernel_id": "68689027"}, {"ref": "codula/ds-hw1", "kernel_id": "68592779"}, {"ref": "matsveikasiakou/taxi-trip-duration", "kernel_id": "68657601"}, {"ref": "kushaljain0/epic-ds-hw1-kushal-jain", "kernel_id": "68611603"}, {"ref": "os14you/homework-1-epic-ds-part1", "kernel_id": "68619978"}, {"ref": "veabin/ds-homework1", "kernel_id": "68497128"}, {"ref": "gulshanoy/ds-homework-1", "kernel_id": "68703488"}, {"ref": "vravi7/notebooka4b26006bc", "kernel_id": "68491785"}, {"ref": "silverfangs/notebookd0bdda2ebc", "kernel_id": "68658833"}, {"ref": "sillia/epam-hm-1", "kernel_id": "68594336"}, {"ref": "cannedpeach/notebookb455362192", "kernel_id": "68542901"}, {"ref": "trdoan20/lephiphat-s-ds-hw-1", "kernel_id": "68674535"}, {"ref": "verbatim479/hw-1-ds", "kernel_id": "68478446"}, {"ref": "anigup/notebook30d669001c", "kernel_id": "68503361"}, {"ref": "abdulselamabdurehman/notebook837d051083", "kernel_id": "68626368"}, {"ref": "faresedresalamin/first-hw", "kernel_id": "68501437"}, {"ref": "samatbelentbay/notebook214d2f635e", "kernel_id": "68581611"}, {"ref": "danielgnetetskiy/task1-pandas-basic", "kernel_id": "68506263"}, {"ref": "danilakuroedov/first-hw-danila-kuroedov", "kernel_id": "68395083"}, {"ref": "bahailuabera/notebook7adb5f624a", "kernel_id": "68529695"}, {"ref": "evxdgh/lephiphat-s-ds-hw-1", "kernel_id": "68601852"}, {"ref": "yaoya0/notebook4aaba14ecf", "kernel_id": "68497096"}, {"ref": "hsekata/ds-hw-1", "kernel_id": "68505213"}, {"ref": "wiktorlewicki/notebook62a62cad34", "kernel_id": "68439552"}, {"ref": "longyul/new-york-city-taxi-trip-duration", "kernel_id": "68558553"}, {"ref": "longyul/taxi-duration", "kernel_id": "68570367"}, {"ref": "katsiarynabandarenka/data-science-hw-1", "kernel_id": "68570989"}, {"ref": "viktorpetrovsky/ds-hw1", "kernel_id": "68701762"}, {"ref": "kotovaks/task1-dataframes-intro", "kernel_id": "68533457"}, {"ref": "giorgivelijanashvili/epic-ds-hw1", "kernel_id": "68694588"}, {"ref": "elizavetamoraru/taxi-pandas-solution", "kernel_id": "68415862"}, {"ref": "gorgrigoryan/gorgrigoryan-homework1", "kernel_id": "68392986"}, {"ref": "elengrigoryan/elen-grigoryan-datascience-homework-1", "kernel_id": "68398088"}, {"ref": "danilaalkhovik/ds-hw-1", "kernel_id": "68432415"}, {"ref": "udilbar/ds-homework-1", "kernel_id": "68532694"}, {"ref": "atrashchonak/notebook4826f74dcd", "kernel_id": "68835924"}, {"ref": "kldd00/reshetnyak-homework-1", "kernel_id": "68574895"}, {"ref": "youssifaboubacar/homework-youssif", "kernel_id": "68598435"}, {"ref": "egormelyakin/ds-homework-1", "kernel_id": "68638419"}, {"ref": "qedfhjzh/notebookb645ce6b85", "kernel_id": "68700331"}, {"ref": "astghparsamyan/notebook4b3dc4b569", "kernel_id": "68728128"}, {"ref": "ryhorbarabolia/notebook45d63ae3fc", "kernel_id": "68919533"}, {"ref": "bylbaw/homework-1-nyc-taxi", "kernel_id": "68922369"}, {"ref": "egororekhov/notebook52814d183b", "kernel_id": "68971731"}, {"ref": "pavelnikolaichev/notebookd2cc0e6b87", "kernel_id": "69417749"}, {"ref": "yassmenhussinibrahim/nyc-taxi-trip-homework", "kernel_id": "69249193"}, {"ref": "hoanglongvn/homework-1-nyc-taxi", "kernel_id": "69053334"}, {"ref": "alexeyantoshkin/ds-hw-1", "kernel_id": "69049984"}, {"ref": "elgemmy/ds-1-homework-1", "kernel_id": "69065693"}, {"ref": "ulugbekshernazarov/homework-1-nyc-taxi-trip-duration-analysis-with-p", "kernel_id": "69055879"}, {"ref": "abdulrahmanelbanna/nyc-taxi", "kernel_id": "69328283"}, {"ref": "angelinavarvashevich/epic-ds-hw1", "kernel_id": "69063567"}, {"ref": "dnelepova/ds-hw1-nelepova", "kernel_id": "69063178"}, {"ref": "shashankreddipalli/notebook962ecb8538", "kernel_id": "69017820"}, {"ref": "danhnguyen811/ds-hw1", "kernel_id": "69343202"}, {"ref": "eliasermuutwika/ds-homework1-nyc-taxi", "kernel_id": "69048589"}, {"ref": "danielsemenov/homework-1-nyc-taxi-trip-duration-analysis-with-p", "kernel_id": "69070873"}, {"ref": "aryamsingh/homework-1-nyc-taxi", "kernel_id": "69045081"}, {"ref": "abhishekmakwanaxv1/submission-1", "kernel_id": "69034946"}, {"ref": "youstenamagdy/youstena-magdy-h-w-1", "kernel_id": "69062752"}, {"ref": "sachinverma01/homework-1-nyc-taxi", "kernel_id": "69063424"}, {"ref": "cgemmy/mohamed-gamal-ds-hw1", "kernel_id": "69066013"}, {"ref": "liiypad/data-science-hw-1", "kernel_id": "69160016"}, {"ref": "xm89tr/ds-hw1", "kernel_id": "69295398"}, {"ref": "amenotiomoii/ds-hw1", "kernel_id": "69409450"}, {"ref": "sergey1995/ny-taxi-ml-homework", "kernel_id": "70385338"}, {"ref": "mmakemd/ny-taxi-ml-homework", "kernel_id": "70005346"}, {"ref": "ruslanraupoff/ny-taxi-ml-homework", "kernel_id": "70542250"}, {"ref": "mohamedsaad01/ny-taxi-ml-homework", "kernel_id": "70520125"}, {"ref": "kushaljain0/ny-taxi-ml-homework-kushal-jain", "kernel_id": "70861234"}, {"ref": "verbatim479/ny-taxi-ml-homework", "kernel_id": "70493348"}, {"ref": "danielgnetetskiy/ds-hw2-solution", "kernel_id": "70452651"}, {"ref": "anacrnkovi/ny-taxi-ml-homework", "kernel_id": "70844702"}, {"ref": "esbolat/ny-taxi-ml-homework", "kernel_id": "71709717"}, {"ref": "pehpeh/ds-homework-2-daniel-volostnov", "kernel_id": "71823695"}, {"ref": "mustafacivici/newyork-trip-duration-regression", "kernel_id": "71890677"}, {"ref": "veronikavoronova/notebook88e378aa1a", "kernel_id": "71938916"}, {"ref": "artem3605/ny-taxi-ml-homework", "kernel_id": "71894914"}, {"ref": "vladimirsviridenkov/ny-taxi-ml-homework", "kernel_id": "71556828"}, {"ref": "martynass/ny-taxi-ml-homework", "kernel_id": "71922263"}, {"ref": "yassmenhussinibrahim/ny-taxi-ml-homework", "kernel_id": "71609350"}, {"ref": "hoanglongvn/ny-taxi-ml-homework", "kernel_id": "71829336"}, {"ref": "katsiarynahurskaya/ny-taxi-ml-homework-1fdd4d", "kernel_id": "71337549"}, {"ref": "ulugbekshernazarov/ny-taxi-ml-homework", "kernel_id": "71916036"}, {"ref": "dddrrddd/ny-taxi-ml-homework", "kernel_id": "71709734"}, {"ref": "timuramangeldiyev/ds-hw2", "kernel_id": "71822623"}, {"ref": "ldrstark/ny-taxi-ml-homework", "kernel_id": "71973943"}, {"ref": "matsveikasiakou/taxi-ml-homework", "kernel_id": "71958923"}, {"ref": "veabin/ny-taxi-ml-homework", "kernel_id": "71544389"}, {"ref": "vravi7/ny-taxi-ml-homework", "kernel_id": "71492702"}, {"ref": "silverfangs/ny-taxi-ml-homework", "kernel_id": "71846092"}, {"ref": "anishvijay/nyc-taxi-trip", "kernel_id": "71811966"}, {"ref": "faresedresalamin/ny-taxi-ml-homework", "kernel_id": "71432769"}, {"ref": "samatbelentbay/ny-taxi-ml-homework", "kernel_id": "71558710"}, {"ref": "danilakuroedov/ny-taxi-ml-homework-ds-2", "kernel_id": "71555981"}, {"ref": "evxdgh/ds-hw-2", "kernel_id": "71431551"}, {"ref": "bhardwajprince/ds-24-25-hw2-princeb", "kernel_id": "71766370"}, {"ref": "wiktorlewicki/ny-taxi-ml-homework", "kernel_id": "71370294"}, {"ref": "wiktorlewicki/notebook045afefa91", "kernel_id": "71642509"}, {"ref": "longyul/ny-taxi-ml-homework-longyul", "kernel_id": "71512578"}, {"ref": "katsiarynabandarenka/ds-exam", "kernel_id": "71964719"}, {"ref": "viktorpetrovsky/ny-taxi-ml-homework", "kernel_id": "71791904"}, {"ref": "gorgrigoryan/ny-taxi-ml-homework", "kernel_id": "71393964"}, {"ref": "elengrigoryan/ny-taxi-ml-homework", "kernel_id": "71393991"}, {"ref": "danilaalkhovik/ds-hw-2", "kernel_id": "71600626"}, {"ref": "kldd00/reshetnyak-ny-taxi-ml-homework", "kernel_id": "71836758"}, {"ref": "egormelyakin/ds-homework-2", "kernel_id": "71814862"}, {"ref": "youstenamagdy/youstena-ny-taxi-ml-homework", "kernel_id": "71726209"}, {"ref": "ruslantasmukhanov/ruslantasmukhanovhw2", "kernel_id": "71708280"}, {"ref": "ruslantasmukhanov/homework-1", "kernel_id": "71709764"}, {"ref": "bhaweshpandit/ny-taxi-ml-homework-be0ddf", "kernel_id": "72077207"}, {"ref": "katsiarynahurskaya/notebook0df4a572e9", "kernel_id": "72248098"}, {"ref": "sanye233/taxi-test", "kernel_id": "72212869"}, {"ref": "farnazteymourian/submission-csv", "kernel_id": "72674576"}, {"ref": "zlatanshev/new-york-city-taxi-shevchenko", "kernel_id": "73047411"}, {"ref": "trixmixing1ai/notebook08550b5cee", "kernel_id": "74847755"}, {"ref": "csmohamedayman/eda-tsa-new-york-city-taxi-trip-duration", "kernel_id": "75464433"}, {"ref": "vravi7/notebookdc3782278b", "kernel_id": "75341441"}, {"ref": "bahailuabera/lesson-2-epam-nyt", "kernel_id": "78455943"}, {"ref": "minhtom/nyc-taxi-trip-duration", "kernel_id": "80849163"}, {"ref": "tayen1/nyc-taxi-duration", "kernel_id": "81475088"}, {"ref": "umeshkumarrai123/nyc-taxi-trip-duration", "kernel_id": "81081385"}, {"ref": "dzianis27/nyc-taxi-trip-duration", "kernel_id": "81474478"}, {"ref": "yaminjoseph/nyc-taxi-trip-duration-prediction", "kernel_id": "83466054"}, {"ref": "artemburlachenko/nyc-taxi-trip-duration", "kernel_id": "84696273"}, {"ref": "ahmedhasan110/nyc-taxi-trip-duration-eda", "kernel_id": "85120954"}, {"ref": "juanmahure/t-cnicas-selectas-de-regresi-n", "kernel_id": "85697478"}, {"ref": "bavleyhesham/taxi-trip", "kernel_id": "86983744"}, {"ref": "moizessaji/nyc-taxi-trip", "kernel_id": "89914445"}, {"ref": "nikithareddy14/nyc-taxi-trip-duration-ml", "kernel_id": "94828288"}, {"ref": "yasin05/new-york-city-trip-duration", "kernel_id": "96370394"}, {"ref": "patelparth3399/data-analyzing-and-cleaning-nyc-yellow-taxi-trip", "kernel_id": "97202706"}, {"ref": "ocwerfrancis/trip-duration-prediction", "kernel_id": "97269038"}, {"ref": "arkadeepthinks/nyc-taxi-trip-duration-prediction", "kernel_id": "98568884"}, {"ref": "hedichehaidar/ny-taxi-ml-homework", "kernel_id": "100513934"}, {"ref": "ekaterinaleksina/ny-taxi-ml-homework-elek", "kernel_id": "100455788"}, {"ref": "amirhosseinesmaili98/nyc-taxi-trip-duration-prediction", "kernel_id": "101684655"}, {"ref": "khaledhassiba/nyc-taxi-trip", "kernel_id": "102577359"}, {"ref": "slabayram/road-network-analysis", "kernel_id": "103381328"}, {"ref": "henrychencyh/notebook646a04ed4f-7f49aa", "kernel_id": "104763864"}, {"ref": "yuvigupta2004/notebook646a04ed4f", "kernel_id": "104232317"}, {"ref": "ryograce/nyc-taxi-trip-duration-0-33", "kernel_id": "104507191"}, {"ref": "natasyayobels/taxi-nyc", "kernel_id": "104523983"}, {"ref": "monicagayatrik/nyc-taxi-trip-ml-supervised-beginner-friendly", "kernel_id": "104757473"}, {"ref": "terrainvese/notebookda1f491303", "kernel_id": "105930417"}, {"ref": "evgendvorkin/new-york-city-taxi-trip-duration", "kernel_id": "107270359"}, {"ref": "avuthugeethika/nyc-taxi-trip-duration-geethika12345", "kernel_id": "107609384"}, {"ref": "mohamedmahmoud111/nyc-taxi-eda", "kernel_id": "108349627"}, {"ref": "alshier/nyc-prediction-using-ridge", "kernel_id": "108334751"}, {"ref": "codecaoch/nyc-eda", "kernel_id": "109447713"}, {"ref": "codecaoch/nyc-end-to-end-regression", "kernel_id": "109449189"}, {"ref": "sevvalclalcebeciolu/new-york-city-taxi-trip-duration", "kernel_id": "109340238"}, {"ref": "nourelhashash/nyc-taxi-trip-duration-full-eda-prediction", "kernel_id": "110500344"}, {"ref": "beyzatopbas/nyc-taxi-trip-duration", "kernel_id": "110373260"}, {"ref": "mouniramghar/mounir-flavien-yacine-amine-valentin-kagglenyc", "kernel_id": "111760371"}, {"ref": "kongphai/lab-team-modeling", "kernel_id": "111687614"}, {"ref": "kongphai/lab-team-test-training", "kernel_id": "111687908"}, {"ref": "josephmahercsi/20260309-taxi", "kernel_id": "111614014"}, {"ref": "zynptkn06/new-york-city-taxi-trip-duration", "kernel_id": "115466008"}, {"ref": "joaoestella/notebook286b340a16", "kernel_id": "116586709"}, {"ref": "furkancftc28/nyc-taxi-trip-duration-analysis-prediction", "kernel_id": "118772051"}, {"ref": "seyfeyza/orientation-v2", "kernel_id": "120140140"}, {"ref": "dhuvie/nyc-taxi-kdtree-dae-gaussian-mixture-models", "kernel_id": "125820530"}, {"ref": "jorawar128/nyc-taxi-trip-duration", "kernel_id": "129443057"}, {"ref": "nisadikmen/notebook8777cc49b9", "kernel_id": "129988247"}, {"ref": "linology/ass2-code", "kernel_id": "135764914"}]}
{"competition_id": "6961", "kernels": [{"ref": "lextoumbourou/humpback-whale-id-data-and-aug-exploration", "kernel_id": "534797"}, {"ref": "inversion/most-common-id-benchmark", "kernel_id": "531221"}, {"ref": "stehai/duplicate-images-data-cleaning", "kernel_id": "797002"}, {"ref": "stehai/duplicate-images", "kernel_id": "794154"}, {"ref": "gimunu/training-augmentation-and-pretrained-vgg16-model", "kernel_id": "750886"}, {"ref": "gimunu/data-augmentation-with-keras-into-cnn", "kernel_id": "661865"}, {"ref": "CVxTz/beating-the-baseline-keras-lb-0-38", "kernel_id": "540630"}, {"ref": "mmrosenb/whales-some-image-processing", "kernel_id": "537611"}, {"ref": "mmrosenb/whales-an-exploration", "kernel_id": "534504"}, {"ref": "jihyeseo/whale-classify-recognize-image", "kernel_id": "958580"}, {"ref": "andersy005/getting-started", "kernel_id": "532251"}, {"ref": "cristianpb/using-similarity-of-train-and-test-for-predictions", "kernel_id": "537607"}, {"ref": "cristianpb/on-finding-rgb-or-bgr", "kernel_id": "538346"}, {"ref": "elmahy/humpback-whale-id-data-and-aug-exploration", "kernel_id": "576077"}, {"ref": "rio114/cropping-with-normlized-aspect-ratio", "kernel_id": "702288"}, {"ref": "tomislater/analyze-the-data", "kernel_id": "870008"}, {"ref": "bibuml/beating-cvxtz-very-good-code-0-38-to-0-42", "kernel_id": "683018"}, {"ref": "justinhu/whale-data-overview", "kernel_id": "893312"}, {"ref": "aggarwalaakash007/whale-detection", "kernel_id": "849674"}, {"ref": "ryanmarfty/whale-identify", "kernel_id": "739287"}, {"ref": "jasonshin/humpback-whale-prediction", "kernel_id": "568882"}, {"ref": "jhamer90811/identifying-whales-using-pca-logistic-regression", "kernel_id": "540932"}, {"ref": "faizunnabi/data-augmentation-xception-model-0-7889", "kernel_id": "965002"}, {"ref": "anezka/cnn-with-keras-for-humpback-whale-id", "kernel_id": "776012"}, {"ref": "martinpiotte/bounding-box-model", "kernel_id": "1227510"}, {"ref": "martinpiotte/bounding-box-data-for-the-whale-flukes", "kernel_id": "1206492"}, {"ref": "martinpiotte/whale-recognition-model-with-score-0-78563", "kernel_id": "1268763"}, {"ref": "ambarish/humpback-whale-analysis", "kernel_id": "1599622"}, {"ref": "parmeet1992/whale-identification-eda", "kernel_id": "1140647"}, {"ref": "ashishpatel26/whale-prediction-using-resnet-50", "kernel_id": "1061157"}, {"ref": "arvindbhatt/humpack-tensorflow-implementation", "kernel_id": "1557064"}, {"ref": "arvindbhatt/blue-humpack-whale-using-tensorflow", "kernel_id": "1554421"}, {"ref": "roysai/humpback-whale-challenge-draw-bounding-box", "kernel_id": "1250707"}, {"ref": "roysai/humpback-whale-identity-challenge", "kernel_id": "1306097"}, {"ref": "irvingzhang0512/kernel8fa4b2a40a", "kernel_id": "1133799"}, {"ref": "stephenchou/bounding-box-data-for-the-whale-flukes", "kernel_id": "1423481"}, {"ref": "omarayman/a-short-story-of-deep-learning-on-keras", "kernel_id": "1370333"}, {"ref": "whilefalse/cropping-with-canny-edges", "kernel_id": "1229501"}, {"ref": "michaelyopen8/kernel28a48fc2c4", "kernel_id": "1050686"}, {"ref": "thoroughfare/adapting-dogs-cats-val-acc-up-to-0-02", "kernel_id": "1076150"}, {"ref": "thoroughfare/finally-convergent-but-val-acc-only-0-02-tips", "kernel_id": "1089402"}, {"ref": "timeshifter/humpback-whale-id-data-preprocessing", "kernel_id": "1390861"}, {"ref": "mrmailperson/improved-augmentation-keras-cnn", "kernel_id": "1222614"}, {"ref": "nan777/whaledetection", "kernel_id": "1895355"}, {"ref": "younghe42286/koreakmu-20142556", "kernel_id": "2335828"}, {"ref": "kmader/whale-pca-logistic-regression-as-notebook", "kernel_id": "3483794"}, {"ref": "kmader/tail-segmentation", "kernel_id": "3684942"}, {"ref": "sabasiddiqi/saving-images-to-multiple-folders-wrt-labels", "kernel_id": "3386411"}, {"ref": "shujunge/bounding-box-my", "kernel_id": "3282984"}, {"ref": "shikha130vv/is-this-the-image-of-my-favorite-khan", "kernel_id": "3764964"}, {"ref": "tjm2018/data-augmentation-with-keras-into-cnn", "kernel_id": "3544383"}, {"ref": "dumavit1/resnet18", "kernel_id": "3941195"}, {"ref": "sujataj/tailsegmentationboundingbox", "kernel_id": "3864153"}, {"ref": "jiajunliu0327/whale-identificaiton", "kernel_id": "3942566"}, {"ref": "arjunrao2000/cnnkeras-ipynb", "kernel_id": "4098933"}, {"ref": "chaitanyagarikipati/tf-keras-impl", "kernel_id": "5086277"}, {"ref": "nelsongomesneto/whale-categorization", "kernel_id": "5774659"}, {"ref": "vassalo/whale-data-augmentation", "kernel_id": "5786891"}, {"ref": "nprithviraj24/attempt-to-use-batch-hard-sampling", "kernel_id": "6780987"}, {"ref": "withlihui/resnet50-3", "kernel_id": "9163766"}, {"ref": "natttowiwat/kernel19afce7c4c", "kernel_id": "9549066"}, {"ref": "timmate/transfer-learning-with-vgg-16", "kernel_id": "10794312"}, {"ref": "alexandervasilyev/whales-classification", "kernel_id": "10344932"}, {"ref": "alexandervasilyev/whales-exploration", "kernel_id": "10344610"}, {"ref": "muhammadsaimalamkhan/humpback-whale-identification-challenge", "kernel_id": "10834213"}, {"ref": "blackguest/whale", "kernel_id": "14555326"}, {"ref": "lancelotgodement/projectsoyhuce", "kernel_id": "14687273"}, {"ref": "firozk/keras-humpback-whale", "kernel_id": "15627179"}, {"ref": "blossom1994/bounding-box-model-f30d26", "kernel_id": "20897022"}, {"ref": "jpbremer/backfin-detection-with-yolov5", "kernel_id": "24966172"}, {"ref": "awsaf49/happywhale-boundingbox-yolov5", "kernel_id": "24441036"}, {"ref": "jannikkalkmann/happywhale-eda-bboxes", "kernel_id": "24497150"}, {"ref": "wolfy73/train-yolov5-w-crowd-sourced-dataset", "kernel_id": "25135327"}, {"ref": "petered/notebooke389c626ef", "kernel_id": "31479551"}, {"ref": "mgallimore88/cnn-train", "kernel_id": "31479637"}, {"ref": "mgallimore88/train-siamese", "kernel_id": "32338917"}, {"ref": "stpeteishii/whale-caudal-fin-image-binarization", "kernel_id": "36270606"}, {"ref": "zyh1104/014-3bounding-box-model", "kernel_id": "71438097"}, {"ref": "zyh1104/014-2whale-recognition-model-with-score-0-78563", "kernel_id": "71400543"}, {"ref": "stpeteishii/whale-fin-image-tokencut", "kernel_id": "84020719"}, {"ref": "stpeteishii/whale-identification-randomforest-w-hog", "kernel_id": "88482181"}, {"ref": "yeoyunsianggeremie/hwic-agentic-ai-solution", "kernel_id": "96339374"}]}
{"competition_id": "6963", "kernels": []}
{"competition_id": "6980", "kernels": []}
{"competition_id": "6983", "kernels": []}
{"competition_id": "6986", "kernels": []}
{"competition_id": "6988", "kernels": []}
{"competition_id": "7018", "kernels": []}
{"competition_id": "7042", "kernels": [{"ref": "loveall/class-wise-regex-functions-sk-l-b-0-99", "kernel_id": "431682"}, {"ref": "amitabhac/lstm-based-sequence-conversion", "kernel_id": "384800"}, {"ref": "alvations/numbernator", "kernel_id": "369630"}, {"ref": "opanichev/simple-en-baseline-lb-0-9937", "kernel_id": "355182"}, {"ref": "maheshdadhich/a-laconic-approach-eda-lb-0-9860", "kernel_id": "354616"}, {"ref": "kambarakun/what-shoud-we-do-in-english-challenge", "kernel_id": "354796"}, {"ref": "atlas7/atlas7-explore-data-v1", "kernel_id": "370029"}, {"ref": "mtfall/simple-trial-lb", "kernel_id": "355793"}, {"ref": "mtfall/very-simple-baseline-lb-0-9867", "kernel_id": "355857"}, {"ref": "srisanthoshhari/xgboost-and-class-wise-regex-lb-0-9915", "kernel_id": "444289"}, {"ref": "mrbeer/rank-estimation-from-public-leaderboard", "kernel_id": "438228"}, {"ref": "zizhensong/dictionary-from-external-data-l-b-0-99", "kernel_id": "444640"}, {"ref": "zizhensong/simple-randomforest-solution", "kernel_id": "444506"}, {"ref": "allunia/eda-en-text-normalization", "kernel_id": "354580"}, {"ref": "zfturbo/simple-en-baseline-lb-0-9867", "kernel_id": "354702"}, {"ref": "murugesan/exploring-the-data-basic-analysis", "kernel_id": "374575"}, {"ref": "iamprakashom/text-normalization-the-nooby-way", "kernel_id": "374629"}, {"ref": "huguera/predicting-test-class-xgboost", "kernel_id": "358036"}, {"ref": "jihyeseo/english-normalize-text", "kernel_id": "958636"}, {"ref": "alphasis/enhance-your-baseline-lb-0-9939", "kernel_id": "356808"}, {"ref": "alphasis/regex-label-data", "kernel_id": "354832"}, {"ref": "alphasis/xgboost-with-context-label-data-acc-99-637", "kernel_id": "359717"}, {"ref": "alphasis/bigdata-trick-or-treat-lb-0-9954", "kernel_id": "358071"}, {"ref": "alphasis/xgboost-label-data", "kernel_id": "357824"}, {"ref": "tousif/kaggle-text-norm-challenge-team-bangal-polapain", "kernel_id": "389719"}, {"ref": "thuongdinh/keras-lstm-prediction-for-cardinal-class-96-8", "kernel_id": "403885"}, {"ref": "arpitajena/baseline-with-external-data-lb-0-99", "kernel_id": "442986"}, {"ref": "deenaliz/baseline-improved-lb-0-9868", "kernel_id": "426105"}, {"ref": "arthurtok/zoomable-circle-packing-via-d3-js-in-ipython", "kernel_id": "387256"}, {"ref": "nubatama/explore-data-check-the-difference-not-one-on-one", "kernel_id": "355270"}, {"ref": "darrellulm/xg-boost-another-test-run", "kernel_id": "364484"}, {"ref": "bmconrad/en-text-normalization-baseline", "kernel_id": "371373"}, {"ref": "asindico/text-normalization-the-essential-kickstart", "kernel_id": "354624"}, {"ref": "atmarouane/en-edit-distance-pos-tagging", "kernel_id": "369309"}, {"ref": "jtoffler/better-late-than-never-lb-9911", "kernel_id": "444278"}, {"ref": "jtoffler/regex-testing", "kernel_id": "444287"}, {"ref": "jtoffler/class-prediction-on-the-test-set", "kernel_id": "444328"}, {"ref": "savannahvi/3-simple-steps-lb-9878-with-new-data", "kernel_id": "442129"}, {"ref": "dequadras/simple-aproach-0-9867-create-a-dictionary", "kernel_id": "358931"}, {"ref": "jmbhat786/watch-your-language-update-feature-engineering", "kernel_id": "391671"}, {"ref": "jungminc/eda-en-text-normalization", "kernel_id": "364829"}, {"ref": "headsortails/watch-your-language-update-feature-engineering", "kernel_id": "354585"}, {"ref": "nikhilroxtomar/simple-keras-lstm-classifier-98-74", "kernel_id": "538608"}, {"ref": "kardopaska/fork-check-it-out-for-real-quick-dick-to-insert", "kernel_id": "387486"}, {"ref": "kardopaska/check-it-out-for-real", "kernel_id": "387221"}, {"ref": "kardopaska/very-simple-baseline-lb-0-9867", "kernel_id": "389735"}, {"ref": "infinitewing/validate-your-normalization-function", "kernel_id": "443371"}, {"ref": "fuzzyfroghunter/structure-of-the-data", "kernel_id": "358842"}, {"ref": "leeyun/main-v1", "kernel_id": "372070"}, {"ref": "leeyun/xgboost-with-context-label-data-acc-99-637", "kernel_id": "382623"}, {"ref": "leeyun/xgboost-label-data-extention-acc-99-81", "kernel_id": "382640"}, {"ref": "seraybeser/text-normalization-the-essential-kickstart", "kernel_id": "373018"}, {"ref": "seraybeser/watch-your-language-update-feature-engineering", "kernel_id": "414975"}, {"ref": "georgercarder/decimal-to-text", "kernel_id": "368335"}, {"ref": "georgercarder/measurementtable", "kernel_id": "367535"}, {"ref": "georgercarder/sentenceclassification-text-normalization-en", "kernel_id": "364174"}, {"ref": "georgercarder/numbertowordss-r", "kernel_id": "364100"}, {"ref": "georgercarder/islastchar", "kernel_id": "358393"}, {"ref": "bsivavenu/basics-of-text-normalization-for-beginners", "kernel_id": "405998"}, {"ref": "helloworldml/first-kernel", "kernel_id": "354542"}, {"ref": "hungdo1291/xgboost-with-context-label-data-acc-99-637", "kernel_id": "381131"}, {"ref": "madhubabbu/text-english", "kernel_id": "357766"}, {"ref": "alvira12/class-wise-processing-lb-0-992-new-dataset", "kernel_id": "426344"}, {"ref": "ist597/simple-keras-lstm-classifier-98-74", "kernel_id": "381989"}, {"ref": "yukarin/text-normalization", "kernel_id": "382963"}, {"ref": "neerjad/class-wise-regex-functions-l-b-0-995", "kernel_id": "430734"}, {"ref": "ashishpatel26/word-embedding-with-beginner-to-advance", "kernel_id": "2761917"}, {"ref": "econdata/text-normalization", "kernel_id": "2719902"}, {"ref": "rajaraman6195/eda-en-text-normalization", "kernel_id": "11810764"}, {"ref": "darshanpatel11/notebook3c1e5c9d17", "kernel_id": "95489129"}]}
{"competition_id": "7043", "kernels": [{"ref": "vykhand/some-eda", "kernel_id": "356646"}, {"ref": "kambarakun/what-shoud-we-do-in-russian-challenge", "kernel_id": "355127"}, {"ref": "tunguz/ru-baseline-lb-0-9632", "kernel_id": "355421"}, {"ref": "tunguz/test-2", "kernel_id": "437758"}, {"ref": "tunguz/ru-baselane-stage-2-0-9644-on-lb", "kernel_id": "438176"}, {"ref": "zfturbo/simple-ru-baseline-lb-0-9627", "kernel_id": "354697"}, {"ref": "leogan/explore-and-analyse-data", "kernel_id": "392376"}, {"ref": "jihyeseo/russian-normalize-text", "kernel_id": "958635"}, {"ref": "arccosmos/ru-baseline-lb-0-9799-from-en-thread", "kernel_id": "358704"}, {"ref": "jtoffler/baseline-improvement-lb-9750-to-9751", "kernel_id": "445374"}, {"ref": "dequadras/simple-aproach-0-9627-create-a-dictionary", "kernel_id": "361012"}, {"ref": "ivanov1917/dictionary-based-most-commons-predictor", "kernel_id": "361598"}, {"ref": "innakt/russianclassificationchallenge", "kernel_id": "439764"}, {"ref": "danavg/explore-russian-text-normilization-challenge", "kernel_id": "442682"}]}
{"competition_id": "7046", "kernels": []}
{"competition_id": "7047", "kernels": []}
{"competition_id": "7050", "kernels": []}
{"competition_id": "7051", "kernels": []}
{"competition_id": "7057", "kernels": []}
{"competition_id": "7062", "kernels": []}
{"competition_id": "7082", "kernels": [{"ref": "jeffstahler/pair-plot-swarm-plot", "kernel_id": "376966"}, {"ref": "jeffstahler/pair-plot-of-numerical-attributes", "kernel_id": "377137"}, {"ref": "mathcass/tips-for-using-scikit-learn-for-evaluation", "kernel_id": "435004"}, {"ref": "marugari/why-don-t-we-use-sklearn-metrics-roc-auc-score", "kernel_id": "385515"}, {"ref": "weizhezhang/basic-xgb", "kernel_id": "376983"}, {"ref": "faizalabdkadir/porto-seguro-visual-eda", "kernel_id": "420837"}, {"ref": "areeves87/aggregate-20-kernel-csvs-by-median-rank-lb-285", "kernel_id": "423543"}, {"ref": "aconsapart/exploration-and-discovery-of-claims-data", "kernel_id": "396212"}, {"ref": "cpmpml/extremely-fast-gini-computation", "kernel_id": "386882"}, {"ref": "magdalenawojcik/averaged-xgboost", "kernel_id": "463593"}, {"ref": "kailex/recursive-feature-elimination-with-lgbm", "kernel_id": "407990"}, {"ref": "savioz/lgb-0-269-on-lb", "kernel_id": "382389"}, {"ref": "ceshine/porto-pearson-correlation-3d", "kernel_id": "405283"}, {"ref": "tekrei/apache-spark-gbtclassifier-with-cv", "kernel_id": "425658"}, {"ref": "danofer/xgb-onehot-encoding-lb-0-281", "kernel_id": "386169"}, {"ref": "danofer/kineticpcaandxgboost", "kernel_id": "384050"}, {"ref": "lekshman/experimenting-with-numeric-features", "kernel_id": "403622"}, {"ref": "xtreme/xgboost-porto-sequor", "kernel_id": "384682"}, {"ref": "viveksrinivasan/exploratory-data-analysis-on-porto", "kernel_id": "381565"}, {"ref": "loveall/simple-stackersk-lb-0-284", "kernel_id": "403815"}, {"ref": "loveall/reconstruction-of-ps-reg-03", "kernel_id": "398958"}, {"ref": "loveall/lgb-esemble-xgb-be-in-top-100-with-lb-0-285", "kernel_id": "419170"}, {"ref": "loveall/stacking-lb-0-285-b2c342", "kernel_id": "410539"}, {"ref": "loveall/lb-0-287-lgbm-avg-of-kernel-outputs", "kernel_id": "454918"}, {"ref": "loveall/lb-0-286-from-4-public-kernals-gokagglers", "kernel_id": "431930"}, {"ref": "loveall/rgf-target-encoding-upsampling", "kernel_id": "431665"}, {"ref": "loveall/base-on-single-xgb-lb-0-284-gokagglers", "kernel_id": "432116"}, {"ref": "loveall/0-285-lb-average-of-3xgboost-lightgbm-nn", "kernel_id": "430635"}, {"ref": "loveall/forza-baseline-g0kagglers", "kernel_id": "435028"}, {"ref": "loveall/victor-s-mix-with-logits-gokagglers", "kernel_id": "434850"}, {"ref": "loveall/forza-baseline", "kernel_id": "434870"}, {"ref": "loveall/lb-0-287-porto-seguro-mix-gokagglers", "kernel_id": "434885"}, {"ref": "loveall/rgf-with-10-newfeatures-gokagglers", "kernel_id": "434893"}, {"ref": "loveall/entity-embedding-neural-net-gokagglers", "kernel_id": "434964"}, {"ref": "loveall/forza-baseline-ssk", "kernel_id": "435764"}, {"ref": "loveall/victor-s-mix-with-logits-instead-of-ranks", "kernel_id": "434067"}, {"ref": "loveall/forza-baseline-gokagglers", "kernel_id": "434484"}, {"ref": "yifanxie/porto-seguro-tutorial-end-to-end-ensemble", "kernel_id": "456288"}, {"ref": "yifanxie/porto-seguro-tutorial-simple-e2e-pipeline", "kernel_id": "448961"}, {"ref": "selvaraj/simple-eda", "kernel_id": "383933"}, {"ref": "themachine/porto-trial-score-278", "kernel_id": "378138"}, {"ref": "themachine/why-keras-appraoch-score-less-than-xgb", "kernel_id": "383627"}, {"ref": "dja127/exploring-the-data", "kernel_id": "389683"}, {"ref": "nubeee/variable-analysis-and-visualisation", "kernel_id": "402264"}, {"ref": "festa78/simple-xgboost-lb0-269", "kernel_id": "397790"}, {"ref": "gorosia/simple-lightgbm-model", "kernel_id": "440814"}, {"ref": "pappukrjha/eda-001", "kernel_id": "392993"}, {"ref": "xiaozhouwang/2nd-place-lightgbm-solution", "kernel_id": "462668"}, {"ref": "xiaozhouwang/2nd-place-solution-nn-model", "kernel_id": "462691"}, {"ref": "justinnafe/porto-safe-driver-eda", "kernel_id": "385031"}, {"ref": "hireme/start-with-lightgbm-0-27", "kernel_id": "377228"}, {"ref": "hireme/start-with-the-boost", "kernel_id": "377256"}, {"ref": "qmaruf/find-already-one-hot-encoded-features", "kernel_id": "387648"}, {"ref": "qmaruf/notebookafd0f6f05f", "kernel_id": "387981"}, {"ref": "ramgct20/part-4-reduction", "kernel_id": "448227"}, {"ref": "abevieiramota/data-exploration", "kernel_id": "413290"}, {"ref": "steubk/the-mean-of-avg-performance", "kernel_id": "455222"}, {"ref": "alanfeder/similarities-between-train-test-data-set", "kernel_id": "462373"}, {"ref": "vmathur/porto-seguro-eda", "kernel_id": "432996"}, {"ref": "vedprakash93/porto-seguro-s-01-xgboost", "kernel_id": "409111"}, {"ref": "scirpus/a-bit-of-math-fun", "kernel_id": "448091"}, {"ref": "scirpus/medium-gp", "kernel_id": "444806"}, {"ref": "scirpus/for-mr-kruegger", "kernel_id": "445454"}, {"ref": "scirpus/a-rank-solution", "kernel_id": "438150"}, {"ref": "scirpus/tiny-gp", "kernel_id": "385776"}, {"ref": "scirpus/a-very-basic-autoencoder", "kernel_id": "400494"}, {"ref": "scirpus/big-gp", "kernel_id": "394665"}, {"ref": "scirpus/leak-soup", "kernel_id": "405724"}, {"ref": "scirpus/safedriver-gp-clustering", "kernel_id": "404202"}, {"ref": "scirpus/regularized-greedy-forest", "kernel_id": "428087"}, {"ref": "scirpus/clustering-on-just-missing-categories", "kernel_id": "425404"}, {"ref": "scirpus/libffm-generator-lb-280", "kernel_id": "426468"}, {"ref": "snowdog/old-school-nnet", "kernel_id": "409408"}, {"ref": "snowdog/xgb-sandwich", "kernel_id": "390970"}, {"ref": "tezdhar/faster-gini-calculation", "kernel_id": "382191"}, {"ref": "duanerich/training-test-set-overlap-target-cond-densities", "kernel_id": "383532"}, {"ref": "ironbar/taylor-made-nn-for-0-285-plb-part-of-8", "kernel_id": "464301"}, {"ref": "harshkn/exploring-the-dataset-and-prediction", "kernel_id": "388393"}, {"ref": "kambarakun/simple-multi-layer-perceptron-by-keras", "kernel_id": "377131"}, {"ref": "bertcarremans/data-preparation-exploration", "kernel_id": "386821"}, {"ref": "darkredhorse/safe-driver-prediction-ann", "kernel_id": "420270"}, {"ref": "axelderomblay/running-mlbox-5-1-auto-ml-package", "kernel_id": "381362"}, {"ref": "axelderomblay/running-mlbox-auto-ml-package-porto-seguro", "kernel_id": "384246"}, {"ref": "bisgsingh/data-exploration-and-feature-selection", "kernel_id": "425599"}, {"ref": "shikhar1/train-test-similarity", "kernel_id": "443565"}, {"ref": "muppal/porto-seguro-tutorial-end-to-end-ensemble", "kernel_id": "462190"}, {"ref": "plnimmi/data-analysis-and-summary-report", "kernel_id": "429932"}, {"ref": "vanausloos/steering-wheel-of-fortune-porto-seguro-eda", "kernel_id": "381715"}, {"ref": "lotusky/notebook18bc5aea0a", "kernel_id": "450491"}, {"ref": "neviadomski/data-exploration-porto-seguro-s-safe-driver", "kernel_id": "414250"}, {"ref": "chechir/simple-analysis-on-categorical-variables", "kernel_id": "421456"}, {"ref": "ezietsman/simple-python-lightgbm-example", "kernel_id": "379060"}, {"ref": "abhilashawasthi/forza-baseline", "kernel_id": "377970"}, {"ref": "tarunsingh/eda-stratified-sampling-and-xgboost", "kernel_id": "401511"}, {"ref": "adityavcse/randomforest-portoseguros-driver-prediction", "kernel_id": "387057"}, {"ref": "weslleymoura/starting-example-using-gradient-boosting-0-272", "kernel_id": "446400"}, {"ref": "captcalculator/h2o-automl", "kernel_id": "441840"}, {"ref": "captcalculator/logistic-regression-and-roc-curve-primer", "kernel_id": "378934"}, {"ref": "captcalculator/r-xgboost-with-caret-tuning-and-gini-score", "kernel_id": "379135"}, {"ref": "captcalculator/a-very-extensive-porto-exploratory-analysis", "kernel_id": "377463"}, {"ref": "captcalculator/quick-get-on-lb-before-smart-people-get-here", "kernel_id": "377147"}, {"ref": "peatle/eda-investigating-trends", "kernel_id": "384213"}, {"ref": "beletecheneke/lb-0-286-from-four-public-kernals-submission-files", "kernel_id": "431542"}, {"ref": "zaburo/wip-reproduce-1st-place-solution", "kernel_id": "557152"}, {"ref": "luckyt/logistic-regression-lb-0-006", "kernel_id": "456184"}, {"ref": "tunguz/xgb-10fold-classifier-upsampling", "kernel_id": "402036"}, {"ref": "tunguz/xgb-20fold-classifier-upsampling", "kernel_id": "402041"}, {"ref": "tunguz/xgb-25fold-classifier-upsampling", "kernel_id": "402043"}, {"ref": "tunguz/xgb-5fold-upsampling-no-stratification", "kernel_id": "404557"}, {"ref": "tunguz/xgb-10fold-upsampling-no-stratification", "kernel_id": "404588"}, {"ref": "tunguz/xgb-20fold-upsampling-no-stratification", "kernel_id": "404589"}, {"ref": "tunguz/rgf-target-encoding-0-282-on-lb", "kernel_id": "431138"}, {"ref": "tunguz/lb-0-286-with-submission-file", "kernel_id": "432293"}, {"ref": "tebanieo/porto-they-will-claim", "kernel_id": "382102"}, {"ref": "jy93630/basic-statistical-exporation", "kernel_id": "393987"}, {"ref": "deepak9001/xgboost", "kernel_id": "377266"}, {"ref": "pavetr/stacking-lb-0-285", "kernel_id": "405577"}, {"ref": "danieleewww/new-features-xgb-upsampling-bayesopt", "kernel_id": "421527"}, {"ref": "danieleewww/stacking-lb-0-285", "kernel_id": "423748"}, {"ref": "danieleewww/simple-stacker-lb-0-284", "kernel_id": "423636"}, {"ref": "danieleewww/logistic-of-genetic-features", "kernel_id": "422293"}, {"ref": "danieleewww/xgboost-k-fold-with-log-odds-aggregation", "kernel_id": "422430"}, {"ref": "danieleewww/top-10-on-lb-0-287-lgbm-avg-of-kernel-ou-d4eb97", "kernel_id": "453476"}, {"ref": "rspadim/convert-binary-to-categorical", "kernel_id": "403241"}, {"ref": "rspadim/bin2cat-cat-optim", "kernel_id": "403305"}, {"ref": "rspadim/ohe-everything-and-keras", "kernel_id": "404876"}, {"ref": "rspadim/humm-float-integer-why-not-categorical", "kernel_id": "404813"}, {"ref": "rspadim/adversarial-validation-porto-seguro", "kernel_id": "396064"}, {"ref": "rspadim/gini-keras-callback-earlystopping-validation", "kernel_id": "397092"}, {"ref": "rspadim/kolmogorov-smirnov-train-test-porto-seguro", "kernel_id": "396635"}, {"ref": "rspadim/unique-rows", "kernel_id": "397824"}, {"ref": "rspadim/save-ohe-data", "kernel_id": "399172"}, {"ref": "rspadim/categorical-optimization-tree-and-logistic", "kernel_id": "400530"}, {"ref": "rspadim/auc-is-a-bit-crazy-p", "kernel_id": "380702"}, {"ref": "rspadim/off-example-of-cv", "kernel_id": "388887"}, {"ref": "rspadim/categorical-variables-feature-tree-optimization", "kernel_id": "388396"}, {"ref": "ogrellier/python-target-encoding-for-categorical-features", "kernel_id": "389160"}, {"ref": "ogrellier/simple-feature-scorer", "kernel_id": "384892"}, {"ref": "ogrellier/scale-pos-weight-vs-duplication", "kernel_id": "402916"}, {"ref": "ogrellier/feature-selection-target-permutations", "kernel_id": "405727"}, {"ref": "ogrellier/lgbm-regularized-random-forest", "kernel_id": "392678"}, {"ref": "ogrellier/xgb-classifier-upsampling-lb-0-283", "kernel_id": "396058"}, {"ref": "ogrellier/noise-analysis-of-porto-seguro-s-features", "kernel_id": "400520"}, {"ref": "ogrellier/parameter-tuning-5-x-2-fold-cv-statistical-test", "kernel_id": "422864"}, {"ref": "ogrellier/can-early-stopping-generalize", "kernel_id": "426632"}, {"ref": "ogrellier/kfold-or-stratifiedkfold", "kernel_id": "437936"}, {"ref": "phamquoc94/3-lines-to-get-0-28-on-lb", "kernel_id": "386789"}, {"ref": "phamquoc94/portal-exploration", "kernel_id": "379913"}, {"ref": "anokas/simple-xgboost-btb-0-27", "kernel_id": "377016"}, {"ref": "thoolihan/explore-porto-data", "kernel_id": "459685"}, {"ref": "mtinti/h2o-ai-ensemble-grid-search", "kernel_id": "400765"}, {"ref": "vpaslay/2-level-stacker-with-log-odds", "kernel_id": "466615"}, {"ref": "vpaslay/is-your-small-gini-significant", "kernel_id": "437393"}, {"ref": "vpaslay/lb-0-287-porto-seguro-mix", "kernel_id": "433187"}, {"ref": "hazarapet/simple-train", "kernel_id": "388678"}, {"ref": "hazarapet/investigation", "kernel_id": "384058"}, {"ref": "smitashinde/prediction-for-porto-seguro-s-safe-driver", "kernel_id": "426557"}, {"ref": "sudosudoohio/stratified-kfold-xgboost-eda-tutorial-0-281", "kernel_id": "379640"}, {"ref": "tilii7/dimensionality-reduction-pca-tsne", "kernel_id": "396416"}, {"ref": "tilii7/keras-averaging-runs-gini-early-stopping", "kernel_id": "399200"}, {"ref": "tilii7/bayesian-optimization-of-xgboost-parameters", "kernel_id": "400144"}, {"ref": "tilii7/hyperparameter-grid-search-with-xgboost", "kernel_id": "393326"}, {"ref": "tilii7/features-we-don-t-need-no-stinking-features", "kernel_id": "400778"}, {"ref": "tilii7/boruta-feature-elimination", "kernel_id": "402521"}, {"ref": "tilii7/new-features-xgb-upsampling-bayesopt", "kernel_id": "419280"}, {"ref": "tilii7/very-hard-way-to-get-0-290-on-the-lb", "kernel_id": "448945"}, {"ref": "tilii7/feature-discretization-less-is-better", "kernel_id": "445414"}, {"ref": "devm2024/feature-construction-using-autoencoder-tf", "kernel_id": "420991"}, {"ref": "jihyeseo/safe-drive-eda-unbalanced-binary-class-58-x", "kernel_id": "958224"}, {"ref": "keremt/predict-iterate-repeat-part1", "kernel_id": "409750"}, {"ref": "pnagel/keras-starter", "kernel_id": "378772"}, {"ref": "pnagel/reconstruction-of-ps-reg-03", "kernel_id": "395079"}, {"ref": "aquatic/entity-embedding-neural-net", "kernel_id": "433757"}, {"ref": "aquatic/shallow-keras-nn-with-upsampling-27-lb", "kernel_id": "419379"}, {"ref": "elleryleung/analyzing-data-using-catboostclassifier", "kernel_id": "395470"}, {"ref": "rbales/safedriver-linear-regression-xgboost", "kernel_id": "401969"}, {"ref": "chesnokov/shake-up-or-shake-down", "kernel_id": "441581"}, {"ref": "code1110/safedriver-model-prediction-submission", "kernel_id": "387086"}, {"ref": "code1110/safedriver-data-cleaning-visualization", "kernel_id": "386928"}, {"ref": "zusmani/steering-wheel-of-fortune-porto-seguro-eda-234", "kernel_id": "379724"}, {"ref": "zusmani/lgb-esemble-xgb-be-in-top-100-with-lb-0-285", "kernel_id": "413307"}, {"ref": "adarsh1kumar/learn", "kernel_id": "378534"}, {"ref": "dashabhisek/porto-eda", "kernel_id": "378689"}, {"ref": "felipeleiteantunes/h2o-ai-from-linear-models-to-deep-learning", "kernel_id": "386473"}, {"ref": "felipeleiteantunes/xgboost-hyperopt-cv-via-python-api", "kernel_id": "387283"}, {"ref": "felipeleiteantunes/introductory-eda-baseline-with-cv", "kernel_id": "405096"}, {"ref": "bhavesh09/auto-ml-trial-in-r", "kernel_id": "413181"}, {"ref": "bhavesh09/automl-h2o-trial", "kernel_id": "413538"}, {"ref": "bhavesh09/notebook64fb71f6e2", "kernel_id": "377172"}, {"ref": "bhavesh09/targetexploration", "kernel_id": "377173"}, {"ref": "arpitajena/lb-0-287-lgbm-avg-of-kernel-outputs", "kernel_id": "450809"}, {"ref": "gvyshnya/lightgbm-cv-submission-lb-0-28", "kernel_id": "449625"}, {"ref": "gvyshnya/gbm-cv-submission-lb-28", "kernel_id": "451181"}, {"ref": "isaranja/porto-seguro-s-ft-algorithm-spot-check", "kernel_id": "375294"}, {"ref": "yl1202/5-layers-mlp-classifier-0272", "kernel_id": "431490"}, {"ref": "yl1202/which-gini-is-correct", "kernel_id": "422153"}, {"ref": "anuragmaravi/eda-porto-seguro-s-safe-driver-prediction", "kernel_id": "380812"}, {"ref": "wangk4/notebook", "kernel_id": "414087"}, {"ref": "vivster/claim-rates-for-categorical-and-binary-variables", "kernel_id": "398721"}, {"ref": "ievgenvp/lgbm-custom-randomizedsearchcv-lb-283", "kernel_id": "411443"}, {"ref": "solomonk/pytorch-deep-learning-kaggle-porto-driver-0-258", "kernel_id": "393148"}, {"ref": "nonserial/porto-safedriver-ii-final", "kernel_id": "393809"}, {"ref": "rafjaa/resampling-strategies-for-imbalanced-datasets", "kernel_id": "429852"}, {"ref": "binilg/simple-linear-regression", "kernel_id": "382194"}, {"ref": "johnluo721/my-note-book-to-be-continued", "kernel_id": "394569"}, {"ref": "ashutosh7/gbm-oversampling-0-273", "kernel_id": "390330"}, {"ref": "ashutosh7/gbm-with-oversampling-0-273", "kernel_id": "390339"}, {"ref": "camnugent/class-imbalance-a-lesson-learned-tensorflow-nn", "kernel_id": "439354"}, {"ref": "camnugent/deep-neural-network-insurance-claims-0-268", "kernel_id": "392910"}, {"ref": "camnugent/gradient-boosting-classifier-porto-competition", "kernel_id": "385197"}, {"ref": "byfone/mere-catboost", "kernel_id": "397344"}, {"ref": "cbrioso/visualization-eda-woe-and-varimp", "kernel_id": "381829"}, {"ref": "cbrioso/exploratory-data-analysis-in-a-few-lines-of-code", "kernel_id": "381354"}, {"ref": "jeru666/random-forest-pipeline", "kernel_id": "377816"}, {"ref": "rpygamer/feature-engineering", "kernel_id": "389431"}, {"ref": "arthurtok/interactive-porto-insights-a-plot-ly-tutorial", "kernel_id": "377948"}, {"ref": "zeenzuft/notebook-porto-1", "kernel_id": "405822"}, {"ref": "bhuvaneshwaran/porto-seguro-s-random-forest-classifier", "kernel_id": "383783"}, {"ref": "isaienkov/lb-0-286-with-addition-of-nn-ensemble", "kernel_id": "433113"}, {"ref": "isaienkov/1d-convolutional-neural-network-starter", "kernel_id": "430944"}, {"ref": "isaienkov/simple-autoencoder-for-ps-ind-06-bin-ps-ind-09-bin", "kernel_id": "416756"}, {"ref": "den3b81/ps-car-06-cat-ps-car-11-cat-makers-and-models", "kernel_id": "457816"}, {"ref": "eoakley/porto-seguro-lightgbm", "kernel_id": "380345"}, {"ref": "vaibhao/porto-seguro-s-safe-driver-prediction-part-2", "kernel_id": "420048"}, {"ref": "otmanesakhi/the-rank-statistic-differentiable-auc-estimate", "kernel_id": "440966"}, {"ref": "asksonu/simple-xgb", "kernel_id": "457995"}, {"ref": "arthurlpgc/lgbm-ensemble-try-17-on-porto-seguro", "kernel_id": "427745"}, {"ref": "arthurlpgc/emsemble-try-16-on-porto-seguro", "kernel_id": "427464"}, {"ref": "arthurlpgc/random-forest-try-3-on-porto-seguro", "kernel_id": "410268"}, {"ref": "engant/xgboost-starter-0-280-0-281", "kernel_id": "450388"}, {"ref": "gpreda/porto-seguro-exploratory-analysis-and-prediction", "kernel_id": "538880"}, {"ref": "maciejpitucha/xgboost-predictions-on-sparse-and-normal-matrices", "kernel_id": "387830"}, {"ref": "weegee/python-based-eda-of-porto-seguro-s-dataset", "kernel_id": "378095"}, {"ref": "andrewmvd/lightgbm-in-r", "kernel_id": "455814"}, {"ref": "fabiendaniel/porto-seguro-s-eda", "kernel_id": "377144"}, {"ref": "fabiendaniel/set-optimal-weights-in-model-averaging-lb-0-283", "kernel_id": "422913"}, {"ref": "tomcwalker/keras-nn-with-custom-loss-function-for-gini-auc", "kernel_id": "437820"}, {"ref": "jmbull/interaction-vars-recursive-feat-elimination", "kernel_id": "388824"}, {"ref": "jmbull/pre-processor", "kernel_id": "383316"}, {"ref": "sidbecoolyo/random-forest-classification-0-24", "kernel_id": "382335"}, {"ref": "batzner/gini-coefficient-an-intuitive-explanation", "kernel_id": "378726"}, {"ref": "anshulprakash/xgboost-upsampling", "kernel_id": "441891"}, {"ref": "mizioan/tensorflow-with-2-layer-neural-network", "kernel_id": "408046"}, {"ref": "mizioan/data-exploration-assisting-kernel-tensorflow", "kernel_id": "410731"}, {"ref": "asindico/why-such-a-low-score-with-nn", "kernel_id": "437287"}, {"ref": "asindico/porto-seguro-the-essential-kickstarter", "kernel_id": "387169"}, {"ref": "asindico/porto-seguro-feature-analysis", "kernel_id": "419071"}, {"ref": "suchravi/python-data-preprocessing", "kernel_id": "419557"}, {"ref": "ashishpatel26/porto-seguro-s-safe-driver-prediction-xgboost", "kernel_id": "930947"}, {"ref": "aleksandrarousi/python-makeup-bapt", "kernel_id": "460235"}, {"ref": "ngbolin/analysis-of-porto-seguro-using-xgb-lb-0-279", "kernel_id": "403145"}, {"ref": "davibarreira/porto-seguro-a-bit-of-data-exploration", "kernel_id": "423255"}, {"ref": "hjkajh/kernel05fe6000fa", "kernel_id": "701783"}, {"ref": "bekaaa/encoding-categorical-data", "kernel_id": "389502"}, {"ref": "taran8727/approach-for-beginners-1-glmnet-model", "kernel_id": "377351"}, {"ref": "aharless/dude-that-s-so-deep", "kernel_id": "432305"}, {"ref": "aharless/playing-with-joe-eddy-s-nn", "kernel_id": "434694"}, {"ref": "aharless/victor-s-mix-with-logits-now-regularized", "kernel_id": "433859"}, {"ref": "aharless/awkward-logisitc-stacker", "kernel_id": "438757"}, {"ref": "aharless/kfold-or-stratifiedkfold", "kernel_id": "437985"}, {"ref": "aharless/create-oof-data-from-vladimir-demidov-s-stacker", "kernel_id": "438630"}, {"ref": "aharless/stacker-with-oof-output", "kernel_id": "437359"}, {"ref": "aharless/cv-for-keui-shen-nong-s-pascal-forza-model", "kernel_id": "437270"}, {"ref": "aharless/quick-look-at-public-private-lb-kernel-results", "kernel_id": "467439"}, {"ref": "aharless/noisy-genetic-pseudo-cv", "kernel_id": "404286"}, {"ref": "aharless/lightgbm-cv-lb-282", "kernel_id": "403658"}, {"ref": "aharless/xgboost-cv-lb-284", "kernel_id": "402295"}, {"ref": "aharless/simple-catboost-cv-lb-281", "kernel_id": "401313"}, {"ref": "aharless/stacking-with-log-odds-and-no-intercept", "kernel_id": "413767"}, {"ref": "aharless/logistic-of-genetic-features", "kernel_id": "422034"}, {"ref": "aharless/rgf-or-xgb-k-fold-with-log-odds-averaging", "kernel_id": "420551"}, {"ref": "numberswithkartik/so-you-think-xgboost-will-work", "kernel_id": "383692"}, {"ref": "numberswithkartik/seguro-s-are-you-serious", "kernel_id": "381645"}, {"ref": "numberswithkartik/pca-logistic-and-neural-network-lets-ensemble", "kernel_id": "381660"}, {"ref": "antonaks/first-steps-with-xgboost-model-0-27", "kernel_id": "381774"}, {"ref": "johnoliverjones/small-bayesian-network-model-gini-score", "kernel_id": "389704"}, {"ref": "johnoliverjones/naive-bayesian-network-with-7-features", "kernel_id": "397244"}, {"ref": "lovemegowin/test-in-axxe-ssl-ddl", "kernel_id": "399692"}, {"ref": "luanho/very-very-simple-approach-for-beginer", "kernel_id": "414164"}, {"ref": "priyasd/predictive-modelling-using-forest", "kernel_id": "434225"}, {"ref": "priyasd/fork-of-notebookb4f6708e32", "kernel_id": "405853"}, {"ref": "priyasd/pca-on-seguro-s-data", "kernel_id": "409508"}, {"ref": "priyasd/notebook1", "kernel_id": "404115"}, {"ref": "plarmuseau/standard-notebook", "kernel_id": "377616"}, {"ref": "yekenot/simple-stacker-lb-0-284", "kernel_id": "401561"}, {"ref": "yekenot/2-level-stacker-silver-solution", "kernel_id": "415181"}, {"ref": "heyangshnu/mofei-clicks-here-001-by-ge-men-er", "kernel_id": "397851"}, {"ref": "kostya17/simple-approach-to-handle-missing-values", "kernel_id": "378206"}, {"ref": "sudhirnl7/xgboost-with-stratifiedkflod-lb-0-282", "kernel_id": "430811"}, {"ref": "sudhirnl7/simple-logistic-model-porto", "kernel_id": "395778"}, {"ref": "eikedehling/tune-and-compare-xgb-lightgbm-rf-with-hyperopt", "kernel_id": "393875"}, {"ref": "natihd16/porto-score-0-240-with-logistic-regression", "kernel_id": "404161"}, {"ref": "kevinbonnes/xgboost-starter-0-280", "kernel_id": "383046"}, {"ref": "andreylisin/lightgbm-and-xgboost-stacked-lb-279", "kernel_id": "455459"}, {"ref": "kueipo/simple-safe-driver-prediction-eda", "kernel_id": "377386"}, {"ref": "kueipo/stratifiedshufflesplit-xgb", "kernel_id": "377564"}, {"ref": "kueipo/base-on-froza-pascal-single-xgb-lb-0-284", "kernel_id": "414689"}, {"ref": "hrishikesh312/naivebayes-approach-for-prediction", "kernel_id": "451457"}, {"ref": "bssasikanth/xgboost", "kernel_id": "427198"}, {"ref": "serigne/lb-0-286-with-harmonic-mean", "kernel_id": "432837"}, {"ref": "cuongvn08/useful-data-visualization-matplotlib", "kernel_id": "407535"}, {"ref": "akashdeepjassal/xgbboost", "kernel_id": "379634"}, {"ref": "akashdeepjassal/simple-keras-mlp", "kernel_id": "379635"}, {"ref": "osciiart/porto-seguro-the-essential-kickstarter", "kernel_id": "422985"}, {"ref": "canonwu/notebookbc0d2b7586", "kernel_id": "393972"}, {"ref": "madsonrda/porto-seguro-competition-analysis", "kernel_id": "421687"}, {"ref": "kirsin/interactive-porto-insights-a-plot-ly-tutorial", "kernel_id": "387657"}, {"ref": "caglan/probability-calculations-for-each-feature", "kernel_id": "517170"}, {"ref": "briwill/safe-driver-eda-and-preliminary-feature-selection", "kernel_id": "428773"}, {"ref": "briwill/data-prep-and-modeling", "kernel_id": "441768"}, {"ref": "kenji19840210/hyperparameter-grid-search-with-xgboost", "kernel_id": "393796"}, {"ref": "headsortails/steering-wheel-of-fortune-porto-seguro-eda", "kernel_id": "377582"}, {"ref": "alexfir/target-encoding-using-variance", "kernel_id": "435842"}, {"ref": "alexfir/expected-gini-standard-error", "kernel_id": "437566"}, {"ref": "amit50/used-xgboost-novice-learning", "kernel_id": "445436"}, {"ref": "oneonezero/3d-pca-isomap-for-portoseguro", "kernel_id": "400628"}, {"ref": "oneonezero/handling-missing-values-a-clustering-approach", "kernel_id": "415027"}, {"ref": "naveenbanda/prediction-driver", "kernel_id": "381821"}, {"ref": "fabioluciani/first-submission", "kernel_id": "383722"}, {"ref": "veerendrab/porto-seguro-eda-in-python", "kernel_id": "644383"}, {"ref": "ebertolo/xgboost", "kernel_id": "449383"}, {"ref": "pluchme/0-285-lb-average-of-3xgboost-lightgbm-nn", "kernel_id": "429971"}, {"ref": "alberto33/h2o-ai-from-linear-models-to-deep-learning", "kernel_id": "523254"}, {"ref": "aaronlang/gini-index-s-step-by-step-visualization", "kernel_id": "420077"}, {"ref": "msahamed/safe-driver-prediction-top-1-lightgbm-0-29132", "kernel_id": "449521"}, {"ref": "elikplim/xgboost-vs-ann-with-swish", "kernel_id": "429188"}, {"ref": "claudiovalim/notebookd12bc12dd2", "kernel_id": "418741"}, {"ref": "claudiovalim/lgb-esemble-xgb-be-in-top-100-with-lb-0-285", "kernel_id": "418762"}, {"ref": "claudiovalim/steering-wheel-of-fortune-porto-seguro-eda", "kernel_id": "430127"}, {"ref": "claudiovalim/lb-0-287-porto-seguro-mix", "kernel_id": "434889"}, {"ref": "nupurkamble/notebookb39d6da462", "kernel_id": "384099"}, {"ref": "joshiankur/lgboost-model", "kernel_id": "484104"}, {"ref": "joshiankur/xgboost-model", "kernel_id": "479831"}, {"ref": "damon302/interactive-porto-insights-a-plot-ly-tuto-1e57ed", "kernel_id": "460410"}, {"ref": "jiaxinglin420/h2o-glm-model-baseline", "kernel_id": "385567"}, {"ref": "infinitewing/k-fold-cv-xgboost-example-0-28", "kernel_id": "377599"}, {"ref": "shiqbal/first-data-exploration", "kernel_id": "405869"}, {"ref": "cppttz/gini-coefficient-an-explanation-with-math", "kernel_id": "378877"}, {"ref": "youwen/data-exploration-with-woe", "kernel_id": "404838"}, {"ref": "bhavesh302/xgb-onehot-encoding-lb-0-281", "kernel_id": "384638"}, {"ref": "raghuicecraft/raghu-portos-notebook", "kernel_id": "396868"}, {"ref": "vamshikrishnav06/stochastic-gradient", "kernel_id": "392159"}, {"ref": "romainloiseau/notebook2c7adcf8e2", "kernel_id": "421613"}, {"ref": "liskub/non-discriminative-columns", "kernel_id": "447325"}, {"ref": "jacekpoplawski/genetic-algorithm-main-part-20th-place", "kernel_id": "466683"}, {"ref": "yakolle/basic-analysis", "kernel_id": "406035"}, {"ref": "yakolle/porto-lgb-prune-ensemble", "kernel_id": "412916"}, {"ref": "oshoagyeya/driver-prediction-simple-first-model-1-0", "kernel_id": "528506"}, {"ref": "lucifer19/porto-seguro-s-safe-driver-prediction-speedml", "kernel_id": "382877"}, {"ref": "lucifer19/porto-pearson-correlation-3d", "kernel_id": "398885"}, {"ref": "youhanlee/eda-stratifiedshufflesplit-xgboost-for-starter", "kernel_id": "385559"}, {"ref": "youhanlee/journey-to-get-high-record-not-easy", "kernel_id": "389601"}, {"ref": "shaz13/beginner-friendly-eda-porto-s-safe-driver", "kernel_id": "378595"}, {"ref": "rshally/porto-xgb-lgb-kfold-lb-0-282", "kernel_id": "389464"}, {"ref": "dataoleks/baseline-submission-balanced-logistic-regression", "kernel_id": "417554"}, {"ref": "theblackcat/data-exploration-mean-variance-correlations", "kernel_id": "383492"}, {"ref": "kosiew/rank-averaging-script", "kernel_id": "411136"}, {"ref": "jatinsaini214/really-safe-driver", "kernel_id": "384298"}, {"ref": "fesenkod/porto-lightgbm", "kernel_id": "390719"}, {"ref": "suneelnair1/predictions-for-driver-claims", "kernel_id": "418034"}, {"ref": "nhirons/simple-visualizations-of-the-impact-of-null-values", "kernel_id": "400145"}, {"ref": "apoddar2008/first-try-in-kaggle-insurance", "kernel_id": "407213"}, {"ref": "dogama/safe-driver-random-forest", "kernel_id": "391931"}, {"ref": "ashwinsr321/reducing-insurance-burden-on-safe-drivers", "kernel_id": "386158"}, {"ref": "blackboards/base-cf-rgf", "kernel_id": "456795"}, {"ref": "aizxmgood/notebook18122307df", "kernel_id": "440622"}, {"ref": "aizxmgood/local-100", "kernel_id": "440245"}, {"ref": "golubev/simplest-model-31th-lb-0-291", "kernel_id": "464096"}, {"ref": "ymittal23/safe-driver-prediction-exploration", "kernel_id": "564565"}, {"ref": "ramanshudixit/data-description-and-initial-processing", "kernel_id": "404650"}, {"ref": "mrinalni/data-visualization", "kernel_id": "420849"}, {"ref": "trakton/porto-seguro-dataanalysis-ensemble", "kernel_id": "417053"}, {"ref": "lalitgupta29/interactive-porto-insights-a-plot-ly-tutorial", "kernel_id": "389874"}, {"ref": "ameura/assuarance-prediction", "kernel_id": "397419"}, {"ref": "chongyu/notebook12ffcc1f08", "kernel_id": "422271"}, {"ref": "chongyu/selection-of-cat-by-hypothesis", "kernel_id": "422418"}, {"ref": "chongyu/selection-of-cat-based-on-hypothesis", "kernel_id": "422353"}, {"ref": "witeko/notebookbc146f0877", "kernel_id": "481660"}, {"ref": "julnvt/walk-in-the-woods-tree-random-forest-xgb-lgb", "kernel_id": "448295"}, {"ref": "emjosh13/joshuas-code", "kernel_id": "460582"}, {"ref": "chiranjeevivegi/xgboost-0-285-customlabel-weight-fillna-median", "kernel_id": "436520"}, {"ref": "chiranjeevivegi/random-forest-starter-code-0-265", "kernel_id": "427572"}, {"ref": "etujnr/porto-insurance-claims-for-drivers", "kernel_id": "458652"}, {"ref": "junchengzhou/notebook1daacf411c", "kernel_id": "443991"}, {"ref": "xbf6xbf/single-xgb-lb284", "kernel_id": "435749"}, {"ref": "hchhabada/striker", "kernel_id": "453328"}, {"ref": "guillerbf/xgboost-optimization-with-hyperopt", "kernel_id": "450669"}, {"ref": "mashavasilenko/porto-seguro-xgb-modeling-and-parameters-tuning", "kernel_id": "450698"}, {"ref": "danavg/random-forest-implementation", "kernel_id": "444264"}, {"ref": "tendolkar3/no-magic-0-283-lb-detailed-w-data-exploration", "kernel_id": "412881"}, {"ref": "nguyenhnguyen/notebook030007e986", "kernel_id": "432504"}, {"ref": "mrlzlz/mysafe-driver", "kernel_id": "752660"}, {"ref": "tushar786/data-visualization-and-logistic-regression", "kernel_id": "906547"}, {"ref": "johannesss/stacking-lightgbm-with-logisticregression", "kernel_id": "450400"}, {"ref": "keigo1226/simple-xgboost", "kernel_id": "756085"}, {"ref": "luancaius/porto-seguro-kernel", "kernel_id": "958322"}, {"ref": "rafaelvleite/porto-seguro-s-safe-drive-prediction-ann", "kernel_id": "750890"}, {"ref": "floser/study-2nd-place-lightgbm-solution", "kernel_id": "828113"}, {"ref": "floser/top-models", "kernel_id": "821530"}, {"ref": "rspadim/simple-denoise-autoencoder-with-keras", "kernel_id": "1221222"}, {"ref": "rspadim/1st-pos-trying-to-reproduce-with-keras", "kernel_id": "1227410"}, {"ref": "rspadim/autoencoder-with-xgb", "kernel_id": "1298853"}, {"ref": "dinaldoap/perda-total", "kernel_id": "1146889"}, {"ref": "ashishpatel26/porto-seguro-s-safe-driver-multimodel", "kernel_id": "1090177"}, {"ref": "kevenfc/reducir-memoria-del-dataset", "kernel_id": "1836652"}, {"ref": "rajats1992/my-code", "kernel_id": "1063716"}, {"ref": "nitinakaggle/xgboost-for-porto-seguro-s-safe-driver-prediction", "kernel_id": "1269748"}, {"ref": "nitinakaggle/porto-seguro-s-insurance-prediction-using-xgboost", "kernel_id": "1632558"}, {"ref": "shubhamz950/safe-driver-prediction", "kernel_id": "1038026"}, {"ref": "santoshbothe/steering-wheel-of-fortune-porto-seguro-eda", "kernel_id": "1732706"}, {"ref": "sparsha/simple-logistic-model-porto", "kernel_id": "1705431"}, {"ref": "derrickchua29/ensemble-models-comparison-techniques", "kernel_id": "1002939"}, {"ref": "tarunk9/the-data-supremacy", "kernel_id": "1278165"}, {"ref": "amorimcleison/perda-total-script", "kernel_id": "1199849"}, {"ref": "toruinamori/fisrt-eda", "kernel_id": "1308781"}, {"ref": "ivanzhouyue/logistic-regression-for-beginner-plb-0-27073", "kernel_id": "1381878"}, {"ref": "rakadalal1993/feature-engineering-a-beginner-s-approach", "kernel_id": "1765577"}, {"ref": "liamshty/ty-is4242", "kernel_id": "1771397"}, {"ref": "manishnanwani/porto-seguro-safe-driver-code", "kernel_id": "2244526"}, {"ref": "yekang/dimensionality-reduction-pca-tsne", "kernel_id": "2684563"}, {"ref": "yekang/data-preparation-exploration", "kernel_id": "2601739"}, {"ref": "himselfthedecker/aam-atividade-2-competi-o-porto-seguro", "kernel_id": "2910639"}, {"ref": "tmunyanyi22/data-exploration-for-porto-seguro", "kernel_id": "2403829"}, {"ref": "tmunyanyi22/porto-seguro-safe-driver-prediction-part-2", "kernel_id": "2432546"}, {"ref": "kwonyoung234/porto-m-encode-imputer-poly-stack-by-xgboost", "kernel_id": "2599131"}, {"ref": "sungdoo/plot-ly-tutorial-using-porto-competition", "kernel_id": "2622087"}, {"ref": "lsjsj92/porto-simple-eda-with-python-unbalanced-data", "kernel_id": "2650023"}, {"ref": "lsjsj92/porto-predict-with-unbalanced-data", "kernel_id": "2730795"}, {"ref": "weiichen/car-insurance-claim-prediction", "kernel_id": "2086230"}, {"ref": "shashanksagarjha/imbalanced-dataset-shashank", "kernel_id": "2226148"}, {"ref": "alinecristini/atividade-2-aline-camila-rafael-victor", "kernel_id": "2995940"}, {"ref": "dfantunes/safe-driver-prediction-ann", "kernel_id": "2999381"}, {"ref": "mungeonwoo/u-han-practice", "kernel_id": "2584128"}, {"ref": "tiagofaria/kernelxgbtree", "kernel_id": "2057653"}, {"ref": "kyerim/m-porto-seguro-exploratory-analysis-and-prediction", "kernel_id": "2609231"}, {"ref": "lihess/pratice1", "kernel_id": "2614760"}, {"ref": "lihess/porto", "kernel_id": "2679353"}, {"ref": "kibilis7/kibilis7-porto-seguro-s-safe-driver-prediction", "kernel_id": "2600969"}, {"ref": "fabulousmin/u-han-practice-1-12", "kernel_id": "2615989"}, {"ref": "tunguz/porto-seguro-with-h2o-automl", "kernel_id": "3694664"}, {"ref": "hallohj/smarter-ways-to-encode-categorical-data", "kernel_id": "3929222"}, {"ref": "himselfthedecker/aam-competi-o-porto-seguro-subsampling", "kernel_id": "3104342"}, {"ref": "jaderlima/portoseguroprediction-facens2019", "kernel_id": "3040104"}, {"ref": "hajekim/simple-logistic-model-porto", "kernel_id": "3353841"}, {"ref": "dfantunes/data-science-random-forest-classifier", "kernel_id": "3038769"}, {"ref": "deniserml/atividade2-aml-2019-02", "kernel_id": "3035842"}, {"ref": "phongnguyen1906/entity-embedding-neural-net", "kernel_id": "3000391"}, {"ref": "hhhh88/first-kernel-about-porto", "kernel_id": "3883637"}, {"ref": "plenilune3/porto-seguro-eda-and-model-2", "kernel_id": "3551512"}, {"ref": "pankajjsh06/imbalanced-dataset-safe-driver-prediction", "kernel_id": "3679655"}, {"ref": "datajang/xgboost-lgb", "kernel_id": "3880971"}, {"ref": "leeyuri/data-preparation-exploration", "kernel_id": "3691751"}, {"ref": "leeyuri/porto-taxi-riri", "kernel_id": "3740013"}, {"ref": "leeyuri/porto-resampling-riri", "kernel_id": "3840062"}, {"ref": "msmelguizo/lightgbm-demo", "kernel_id": "4987795"}, {"ref": "sugawarya/h2o-28800s-portosegro", "kernel_id": "4531245"}, {"ref": "ratinkumar/xgboost-cv-lb-284", "kernel_id": "4333837"}, {"ref": "rdewes/iesb-ml-ii-aula-09", "kernel_id": "4264383"}, {"ref": "sidiclei/aula-09-ml-2-porto-seguro-competi-o", "kernel_id": "4264353"}, {"ref": "jptavares/kernel3479eed234", "kernel_id": "4264330"}, {"ref": "filipecld/porto-seguro-s-safe-driver-prediction-am-2019", "kernel_id": "4121388"}, {"ref": "filipecld/trabalho-de-aprendizagem-de-m-quina-2019-1", "kernel_id": "4380969"}, {"ref": "matheusfcs/trabalho-de-aprendizagem-de-m-quina-2019-1", "kernel_id": "4483557"}, {"ref": "jaehyeongan/safe-driver-prediction-stratifiedkfold-lightgbm", "kernel_id": "5256434"}, {"ref": "chendonghp/resampling-strategies-for-imbalanced-datasets", "kernel_id": "5732322"}, {"ref": "floser/ads-t4-boosting-claims-predictions", "kernel_id": "5041860"}, {"ref": "minarabbit/interactive-porto-insights-a-plot-ly-tutorial-1", "kernel_id": "5279098"}, {"ref": "minarabbit/porto-data-preparation-exploration-3", "kernel_id": "5273459"}, {"ref": "minarabbit/porto-data-preparation-exploration-2", "kernel_id": "5167728"}, {"ref": "minarabbit/exploratory-analysis-and-prediction-1", "kernel_id": "5346089"}, {"ref": "minarabbit/interactive-porto-insights-a-plot-l-tutorial-3", "kernel_id": "5342243"}, {"ref": "minarabbit/xgboost-cv-1", "kernel_id": "5343878"}, {"ref": "minarabbit/interactive-porto-insights-a-plot-ly-tutorial-2", "kernel_id": "5326319"}, {"ref": "moneyshhh/project", "kernel_id": "5480449"}, {"ref": "domchitdomchit/practice-porto", "kernel_id": "5656182"}, {"ref": "kojimizu/steering-wheel-of-fortune-porto-seguro-eda", "kernel_id": "6130182"}, {"ref": "bwahns/porto-seguro-xgboost-eric1", "kernel_id": "6844941"}, {"ref": "bwahns/porto-seguro-xgboost-cv-lb-284-eric", "kernel_id": "6893764"}, {"ref": "bwahns/porto-seguro-prediction-eric", "kernel_id": "6902434"}, {"ref": "bwahns/porto-seguro-eric1", "kernel_id": "6902157"}, {"ref": "choi0308/porto-seguro-prediction-resampling", "kernel_id": "6436576"}, {"ref": "cookierhkwk/boaz-new", "kernel_id": "6145986"}, {"ref": "zhangwx95/gbdt-lr", "kernel_id": "6858066"}, {"ref": "sondregj/safe-driver-prediction", "kernel_id": "6538690"}, {"ref": "batofgotham/eda-and-feature-selection", "kernel_id": "7898165"}, {"ref": "thallapavanreddy/porto-seguro-s-safe-driver-prediction-by-pavan", "kernel_id": "7843164"}, {"ref": "jagannathrk/safe-driver-prediction-lightgbm", "kernel_id": "8428855"}, {"ref": "srinivasav22/resampling-strategies-for-imbalanced-datasets", "kernel_id": "8117116"}, {"ref": "jesuisvysakh/porto-seguro1", "kernel_id": "8750014"}, {"ref": "clover1qq5/1st-interactive-porto-insights-a-plot-ly-tutorial", "kernel_id": "8284352"}, {"ref": "clover1qq5/2nd-interactive-porto-insights-a-plot-ly-tutorial", "kernel_id": "8285115"}, {"ref": "clover1qq5/1st-porto-seguro-s-safe-driver-prediction", "kernel_id": "8227332"}, {"ref": "reukki/porto-seguro-s-safe-driver-prediction-study", "kernel_id": "8300245"}, {"ref": "quincy2012/0403-insurance", "kernel_id": "8731645"}, {"ref": "batofgotham/logistic-regression-custom-ensembel", "kernel_id": "8174994"}, {"ref": "batofgotham/decision-tree-custom-ensembel", "kernel_id": "8175539"}, {"ref": "batofgotham/xg-boost-with-kfold-stratified", "kernel_id": "8335457"}, {"ref": "darwinwin/h2o-28800s-portosegro", "kernel_id": "8099302"}, {"ref": "darwinwin/porto-seguro-with-h2o-automl", "kernel_id": "8130800"}, {"ref": "darwinwin/running-mlbox-auto-ml-package-porto-seguro", "kernel_id": "8179887"}, {"ref": "mohitsital/lgbm-optimised-prediction", "kernel_id": "9460166"}, {"ref": "unfinishedgod/automl-h2o-practice-with-safe-driver-prediction", "kernel_id": "9133289"}, {"ref": "shanu1988/end-to-end-insurance", "kernel_id": "9285424"}, {"ref": "kwnjh3424/data-preparation-exploration-3eac81", "kernel_id": "9303678"}, {"ref": "jinameliachoi/tutorial-interactive-porto-insights-plot-ly", "kernel_id": "9140142"}, {"ref": "shengwubin/ee510", "kernel_id": "10023787"}, {"ref": "isnardgurgel/estrat-gias-de-reamostragem-para-desbalanceamento", "kernel_id": "10876634"}, {"ref": "abhishek2195/stratify-check", "kernel_id": "10642972"}, {"ref": "dmkravtsov/12-insurance", "kernel_id": "10878082"}, {"ref": "sidneykang/porto-seguro-exploratory-analysis-sy20200711", "kernel_id": "10593467"}, {"ref": "tunguz/porto-seguro-gpu-shap-test-1", "kernel_id": "11866630"}, {"ref": "tunguz/porto-seguro-cpu-shap-test-1", "kernel_id": "11902756"}, {"ref": "tunguz/porto-seguro-gpu-shap-test-2", "kernel_id": "11922512"}, {"ref": "vh1981/porto-seguro-lgbm-ensemble-stacking", "kernel_id": "11471755"}, {"ref": "kk0105/porto-eda-xgb-lgb-imbalance", "kernel_id": "11371009"}, {"ref": "kongnyooong/porto-seguro-eda-for-korean", "kernel_id": "11283439"}, {"ref": "dskagglemt/handling-imbalance-class", "kernel_id": "11585989"}, {"ref": "nkemjika/simple-predicting-insurance-claim", "kernel_id": "11528969"}, {"ref": "swagatambiswas/porto-seguro-complete", "kernel_id": "11492304"}, {"ref": "tunguz/porto-seguro-gpu-shap-test-3", "kernel_id": "12329961"}, {"ref": "vnesh123/safe-driver-prediction-rfecv2", "kernel_id": "12280426"}, {"ref": "vnesh123/safe-driver-prediction", "kernel_id": "12011841"}, {"ref": "gaurav9712/data-preparation-exploration", "kernel_id": "12678756"}, {"ref": "sinamhd9/safe-driver-prediction-a-comprehensive-project", "kernel_id": "12232924"}, {"ref": "hiro1005/porto-seguro-s-safe-driver-prediction", "kernel_id": "12057819"}, {"ref": "jeanbai/resampling-strategies-for-imbalanced-datasets", "kernel_id": "13800512"}, {"ref": "whtngus4759/porto-seguro-for-beginner", "kernel_id": "14209265"}, {"ref": "shawnjh/xg-boost-with-kfold-stratified", "kernel_id": "14662516"}, {"ref": "shawnjh/xgboost-with-stratifiedkfold-lb-0-282", "kernel_id": "14662658"}, {"ref": "adnankhan2405/bad-metrics-evaluation", "kernel_id": "14816112"}, {"ref": "werooring/top-9th-lightgbm-xgboost-ensemble", "kernel_id": "15085468"}, {"ref": "werooring/basic-eda-for-everyone", "kernel_id": "15247651"}, {"ref": "dmisky/rsschool-005-classification-linear-knn-part-2", "kernel_id": "15244861"}, {"ref": "dmisky/rsschool-006-rf-classifier", "kernel_id": "15228481"}, {"ref": "dmisky/rsschool-005-classification-linear-knn", "kernel_id": "15087493"}, {"ref": "jongbeomkim1219/porto-seguro-safe-driver-prediction", "kernel_id": "15099469"}, {"ref": "sihwanyoon/interactive-porto-insight", "kernel_id": "15995969"}, {"ref": "sihwanyoon/data-preparation-exploration", "kernel_id": "15400616"}, {"ref": "sh0wmaker/handling-imbalanced-data-kaggle-study-lecture", "kernel_id": "15710721"}, {"ref": "sh0wmaker/xgb-lgb-for-lecture", "kernel_id": "15724116"}, {"ref": "yumamin/interactive-porto-insights", "kernel_id": "16964541"}, {"ref": "yumamin/data-preparation-exploration", "kernel_id": "16772368"}, {"ref": "dawool1218/insurance-binary-ml-p-not-complete", "kernel_id": "16954559"}, {"ref": "hobakjh/porto-seguro-1", "kernel_id": "16264587"}, {"ref": "ammyvijay/credit-card-fraud-ex-2", "kernel_id": "17543292"}, {"ref": "sublimesteve/1-eda", "kernel_id": "17268551"}, {"ref": "pheadrus/python-target-encoding-for-categorical-features", "kernel_id": "18577480"}, {"ref": "rifz16/porto-seguro", "kernel_id": "18543479"}, {"ref": "chanisrunnin/porto-data-preparation-exploration", "kernel_id": "18481469"}, {"ref": "s903124/2nd-place-lightgbm-solution", "kernel_id": "18809410"}, {"ref": "anushavasup/safe-driver-prediction", "kernel_id": "18968715"}, {"ref": "flexime/data-preparation-exploration", "kernel_id": "18145453"}, {"ref": "yunhochung/2nd-place-lightgbm-solution", "kernel_id": "18693973"}, {"ref": "yunhochung/staking-porto-xgb-lgb-kfold-lb-0-282", "kernel_id": "18685042"}, {"ref": "byenhyenmin/porto-modeling-2", "kernel_id": "19286775"}, {"ref": "hyunhp/data-preparation-exploration-written-by-bert", "kernel_id": "19300839"}, {"ref": "hyunhp/xgboost-cv-by-andy-harless", "kernel_id": "19672628"}, {"ref": "hyunhp/interactive-porto-insights-written-by-anisotropic", "kernel_id": "19455625"}, {"ref": "seungak/porto-2nd-solution", "kernel_id": "20529220"}, {"ref": "seungak/porto-seguro-s-safe-driver-prediction-bert", "kernel_id": "20027544"}, {"ref": "sukhyun5/predict-with-logistic-regression-and-lasso", "kernel_id": "20099720"}, {"ref": "werooring/ch8-baseline", "kernel_id": "20554143"}, {"ref": "werooring/ch8-eda", "kernel_id": "20554269"}, {"ref": "werooring/ch8-xgb-modeling", "kernel_id": "20551716"}, {"ref": "werooring/ch8-lgb-modeling", "kernel_id": "20551723"}, {"ref": "werooring/ch8-ensemble", "kernel_id": "20556324"}, {"ref": "zzisun/porto-seguro-1", "kernel_id": "20116656"}, {"ref": "jinjuleekr/porto-seguro-done", "kernel_id": "20027189"}, {"ref": "pyjune/porto-daniel-park-kor-eng", "kernel_id": "20737360"}, {"ref": "parkziho/porto", "kernel_id": "20213002"}, {"ref": "suruki/seulki-porto", "kernel_id": "20209914"}, {"ref": "nirmaypanchal1/tim-wouter-nirmay-102", "kernel_id": "20660570"}, {"ref": "s903124/2nd-place-lightgbm-solution-training-logistic", "kernel_id": "21819034"}, {"ref": "guptashourya/safe-driver-prediction", "kernel_id": "21987768"}, {"ref": "byenhyenmin/porto-4thkernal", "kernel_id": "21245257"}, {"ref": "werooring/ch8-notebook", "kernel_id": "22237541"}, {"ref": "byenhyenmin/porto-4th-3", "kernel_id": "22302792"}, {"ref": "rhythmcam/r-automl-h2o-titanic", "kernel_id": "22748241"}, {"ref": "uberfit/mini-example", "kernel_id": "23874449"}, {"ref": "irmadong/irma-notebook", "kernel_id": "24935868"}, {"ref": "yiyangwang1105/kaggle-project-team-9", "kernel_id": "24753208"}, {"ref": "namballamukesh/1d-convolutional-neural-network-starter", "kernel_id": "24002100"}, {"ref": "hgyoon/porto-plot-ly", "kernel_id": "26734463"}, {"ref": "hgyoon/data-preparation-exploration", "kernel_id": "26734626"}, {"ref": "francky20100/exercice-porto-seguro-safe-driver-mathis-tryla", "kernel_id": "26044521"}, {"ref": "gaetancao/safedriver-gaetan", "kernel_id": "26354398"}, {"ref": "jhotor/porto-seguro-balancedbatchgenerator", "kernel_id": "27486002"}, {"ref": "sonheerak/baseline-raki", "kernel_id": "27502485"}, {"ref": "sonheerak/eda-raki", "kernel_id": "27499745"}, {"ref": "sonheerak/improve-performance-1-raki", "kernel_id": "27520174"}, {"ref": "sonheerak/improve-performance-2-raki", "kernel_id": "27524247"}, {"ref": "sonheerak/improve-performance-3-raki", "kernel_id": "27568859"}, {"ref": "jundthird/kor-xgboost-cv-lb-284", "kernel_id": "27350463"}, {"ref": "jundthird/kor-exploratory-analysis-and-prediction", "kernel_id": "27377655"}, {"ref": "jundthird/kor-interactive-porto-insights-plot-ly", "kernel_id": "27309921"}, {"ref": "jundthird/kor-data-preparation-exploration", "kernel_id": "27235368"}, {"ref": "ryujungsoo/porto-sequro-s-safe-driver-data-analysis", "kernel_id": "27283067"}, {"ref": "kimminsol/porto-safe", "kernel_id": "27492037"}, {"ref": "axelbrouart/safe-driver-prediction-comp", "kernel_id": "27184407"}, {"ref": "lucamassaron/workbook-dae", "kernel_id": "28812297"}, {"ref": "lucamassaron/workbook-lgb", "kernel_id": "28812440"}, {"ref": "lucamassaron/workbook-blend", "kernel_id": "28812578"}, {"ref": "emilyjiminroh/data-exploration-porto-seguro-s-safe-driver", "kernel_id": "28268234"}, {"ref": "jaepyo99/porto-seguro-s-safe-driver-prediction-eda", "kernel_id": "28335346"}, {"ref": "swan706/data-exploration-porto-seguro-s-safe-driver", "kernel_id": "28294533"}, {"ref": "cocorin/yh-cur-porto-drive-prediction", "kernel_id": "28471196"}, {"ref": "cocorin/yh-cur-2nd-solution-porto", "kernel_id": "28529496"}, {"ref": "cocorin/yh-cur-porto-exploratory-analysis", "kernel_id": "28629620"}, {"ref": "cocorin/yh-cur-xgboost-cv-porto", "kernel_id": "28626231"}, {"ref": "cocorin/yh-cur-interactive-porto-insights", "kernel_id": "28557084"}, {"ref": "haeuns/ch8-notebook-dalsoo", "kernel_id": "29506374"}, {"ref": "hyennykim/ch8-baseline-hyenny", "kernel_id": "29773788"}, {"ref": "cocoyachi/safedriver-lightgbm-musthave-ch08", "kernel_id": "29989276"}, {"ref": "moonssong/safe-driver-prediction-1-must-have-chapter-8", "kernel_id": "29324640"}, {"ref": "moonssong/safe-driver-prediction-2-must-have-chapter-8", "kernel_id": "29423802"}, {"ref": "woohyeokkang/safe-driver-eda", "kernel_id": "29751596"}, {"ref": "woohyeokkang/safe-driver-modeling", "kernel_id": "29751935"}, {"ref": "baik09/ch8-baseline-test-code", "kernel_id": "29965864"}, {"ref": "baik09/ch8-ensemble-test-code", "kernel_id": "29991202"}, {"ref": "baik09/ch8-ii-xgb-modeling-test-code", "kernel_id": "29982315"}, {"ref": "baik09/ch8-eda-test-code", "kernel_id": "29955692"}, {"ref": "edutechalexlee/must-have-ch-08-1-baseline", "kernel_id": "29259886"}, {"ref": "edutechalexlee/must-have-ch-08-2-1", "kernel_id": "29377652"}, {"ref": "edutechalexlee/must-have-ch-08-3-2", "kernel_id": "29884609"}, {"ref": "surihh/must-have-part02-08", "kernel_id": "29264455"}, {"ref": "luging/luging-ch8-0803-baseline", "kernel_id": "29301830"}, {"ref": "luging/luging-ch8-0801", "kernel_id": "29239364"}, {"ref": "luging/luging-ch8-0805-improve-xgboost", "kernel_id": "29361012"}, {"ref": "luging/luging-ch8-0804-improve-lightgbm", "kernel_id": "29320448"}, {"ref": "cooljmlee/ch8-eda", "kernel_id": "29381432"}, {"ref": "cooljmlee/ch8-xgb-modeling", "kernel_id": "29381800"}, {"ref": "cooljmlee/ch8-baseline", "kernel_id": "29381712"}, {"ref": "cooljmlee/ch8-lgb-modeling", "kernel_id": "29381740"}, {"ref": "cooljmlee/ch8-ensemble", "kernel_id": "29381768"}, {"ref": "khuyentran/d-o-n-y-u-c-u-b-o-hi-m-t", "kernel_id": "29531659"}, {"ref": "gaejabong/ch8-ensemble", "kernel_id": "29382993"}, {"ref": "geonheejang/porto-study-geonhee", "kernel_id": "29296048"}, {"ref": "cocoyachi/safedriver-xgboost-musthave-ch08", "kernel_id": "30550247"}, {"ref": "eunflash/chapter08-quiz", "kernel_id": "30350303"}, {"ref": "renbnm123/chapter08-quiz", "kernel_id": "30566752"}, {"ref": "shindm/chapter08-quiz", "kernel_id": "30566755"}, {"ref": "kbs130302/chapter08-quiz", "kernel_id": "30549995"}, {"ref": "jaesungyu/chapter08-quiz", "kernel_id": "30378356"}, {"ref": "kimdohyung111/chapter08-quiz", "kernel_id": "30566753"}, {"ref": "kouppm/chapter08-quiz-kouppm", "kernel_id": "30566775"}, {"ref": "thomasblain01/lightgbm-w-grid-search-and-bayesian-optimization", "kernel_id": "33136012"}, {"ref": "soheiltehranipour/solutions-to-imbalanced-dataset", "kernel_id": "34675778"}, {"ref": "hieyong0302/portosegurosafedriverprediction-jeong", "kernel_id": "34039866"}, {"ref": "cjhnamespace/safedriverpredict-lgbm", "kernel_id": "34294464"}, {"ref": "kimminky/eda-for-insights", "kernel_id": "34698444"}, {"ref": "kimminky/xgboost-cv", "kernel_id": "34735397"}, {"ref": "aritrase/safe-driver-adversial-validation", "kernel_id": "35643445"}, {"ref": "andir16/safe-driver-prediction-lightgbm-submission", "kernel_id": "35680890"}, {"ref": "andir16/safe-driver-prediction-denoising-autoencoder", "kernel_id": "35810153"}, {"ref": "andir16/safe-driver-prediction-ensembled-model", "kernel_id": "35965577"}, {"ref": "andir16/safe-driver-prediction-adversarial-validation", "kernel_id": "35572201"}, {"ref": "polljjaks/porto-seguro-s-safe-driver-eda", "kernel_id": "35486020"}, {"ref": "rachelaurelliairawan/skripsi", "kernel_id": "37146541"}, {"ref": "lyseo97/20230520-v1", "kernel_id": "38759994"}, {"ref": "woohyeokkang/ch8-safe-driver-prediction-eda", "kernel_id": "38678175"}, {"ref": "woohyeokkang/ch8-safe-driver-prediction-modeling", "kernel_id": "38938696"}, {"ref": "brandondbooth/st538-group-3-project-2", "kernel_id": "38485974"}, {"ref": "heoquixote/data-preparation-exploration-part-1-4", "kernel_id": "38143017"}, {"ref": "luging/luging-ch8-230521", "kernel_id": "38796740"}, {"ref": "polljjaks/porta-eda", "kernel_id": "38727284"}, {"ref": "lnoahl/safe-driver-baseline", "kernel_id": "38236167"}, {"ref": "lnoahl/safe-driver-predction-eda", "kernel_id": "38011567"}, {"ref": "vikashchand28/boruta-feature-elimination-for-50-features-and-10", "kernel_id": "39210147"}, {"ref": "luging/luging-ch8-230528", "kernel_id": "39067921"}, {"ref": "polljjaks/porta2-model", "kernel_id": "39019864"}, {"ref": "kumarkaushalkd/predicting-a-driver-will-file-an-insurance-claim", "kernel_id": "39911277"}, {"ref": "petersonsantos/porto-seguro-s-safe-drive-prediction", "kernel_id": "40504643"}, {"ref": "sarthakmehra03/porto-segura-preprocessing-prediction", "kernel_id": "40054092"}, {"ref": "amirhoseinsedaghati/insurance-claim-prediction-next-year-98-score", "kernel_id": "40813877"}, {"ref": "leemoodong/ch8-notebook", "kernel_id": "41862410"}, {"ref": "leemoodong/ch8-lgb-modeling", "kernel_id": "41851949"}, {"ref": "leemoodong/ch8-xgb-modeling", "kernel_id": "41853421"}, {"ref": "leemoodong/ch8-eda", "kernel_id": "41764004"}, {"ref": "leemoodong/ch8-baseline", "kernel_id": "41764239"}, {"ref": "leemoodong/ch8-ensemble", "kernel_id": "41764435"}, {"ref": "beomsulee/safe-driver-prediction-with-lightgbm-xgboost", "kernel_id": "41465413"}, {"ref": "jcesquiveld/kw-ch1-ex1-adversarial-validation", "kernel_id": "44884880"}, {"ref": "echowuzangye/adversarial-validation", "kernel_id": "45039637"}, {"ref": "andsosallycanwait00/19011033-ch8", "kernel_id": "46088912"}, {"ref": "seoyeon0111/porto-seguro", "kernel_id": "46544390"}, {"ref": "logosurdos/simple-lightgbm-model", "kernel_id": "47071985"}, {"ref": "pranavmaheshwari2603/basic-usage-with-smote", "kernel_id": "49798629"}, {"ref": "tunguz/xgb-fe-0", "kernel_id": "50953421"}, {"ref": "halogen1618/portosegrosafedriver-4-dae", "kernel_id": "50127146"}, {"ref": "jakeai/porto-seguero", "kernel_id": "50552975"}, {"ref": "silverstreamcho/2024-02-07", "kernel_id": "50581237"}, {"ref": "yeowonn/proto-seguro-sol-1", "kernel_id": "50532394"}, {"ref": "yeowonn/proto-seguro-sol-2", "kernel_id": "50845838"}, {"ref": "yeowonn/proto-seguro-sol-3", "kernel_id": "50941692"}, {"ref": "mouadh7/exemple-sur-bodyfat", "kernel_id": "50375253"}, {"ref": "zackgreinke/my-2nd-porto-seguro-s-safe-driver", "kernel_id": "51544631"}, {"ref": "jihunhyeon/porto-seguro", "kernel_id": "51581128"}, {"ref": "jakeai/porto-seguero-practice-2", "kernel_id": "51141823"}, {"ref": "jakeai/porto-seguero-practice-4", "kernel_id": "51207537"}, {"ref": "jakeai/porto-seguero-practice-3", "kernel_id": "51196779"}, {"ref": "jakeai/porto-seguero-practice-1", "kernel_id": "51025833"}, {"ref": "jinkwonskk/ii-xgb-modeling", "kernel_id": "52342616"}, {"ref": "jinkwonskk/iii-ensemble-lgb-xgb", "kernel_id": "52342763"}, {"ref": "jinkwonskk/i-lgb-modeling", "kernel_id": "52342493"}, {"ref": "rickyhouse/safe-driver-prediction-lightgbm-xgboost", "kernel_id": "52295395"}, {"ref": "rickyhouse/porto-seguro-s-safe-driver-prediction-xgboost", "kernel_id": "52279584"}, {"ref": "deanchel106/notebook93ac416f61", "kernel_id": "52197595"}, {"ref": "jonathanyuri0/porto-seguro", "kernel_id": "52455751"}, {"ref": "rodrigocorreia/porto-seguro", "kernel_id": "53164646"}, {"ref": "kleberjunior/porto-seguro-rf", "kernel_id": "53307682"}, {"ref": "avtnshm/porto-seguro-s-safe-driver-insurance-claim-pred", "kernel_id": "53567798"}, {"ref": "abacaxiguy/porto-seguro", "kernel_id": "53314571"}, {"ref": "victorhugosilvangelo/ab2-2-dl-2023-2", "kernel_id": "53265422"}, {"ref": "gustavodomin/porto-seguro-2-0", "kernel_id": "53225754"}, {"ref": "matheusryan/porto-seguro-safe-prediction", "kernel_id": "53257904"}, {"ref": "seonungha/safe-driver-prediction", "kernel_id": "54726540"}, {"ref": "yanukeem15/0408-porto1", "kernel_id": "54252723"}, {"ref": "csmohamedayman/ml-catg-porto-seguro-s-safe-driver-prediction", "kernel_id": "57322751"}, {"ref": "sergeypolivin/porto-seguro-classification", "kernel_id": "57010532"}, {"ref": "icon001/ch8-baseline", "kernel_id": "58960590"}, {"ref": "ravenofdark/notebook3676feb5d0", "kernel_id": "59901583"}, {"ref": "hikmetdevlet/17-porto-seguro-s-safe-driver-prediction", "kernel_id": "60879391"}, {"ref": "dkhundley/porto-seguro-safe-driver", "kernel_id": "61713091"}, {"ref": "gagandeep44489/good-and-bad-driver-prediction", "kernel_id": "61820132"}, {"ref": "gagandeep44489/good-and-bad-drive-by-gagan-version1", "kernel_id": "61872033"}, {"ref": "jeongyj32/data-preparation-exploration", "kernel_id": "61801508"}, {"ref": "displayed33/porto-seguro-s-safe-driver-prediction-eda", "kernel_id": "64743036"}, {"ref": "ppr500t/porto-seguro-safe-driver", "kernel_id": "64796110"}, {"ref": "ppr500t/driver3", "kernel_id": "64811906"}, {"ref": "ppr500t/porto-seguro-safe-driver2", "kernel_id": "64801533"}, {"ref": "s903124/2nd-place-lightgbm-solution-training-tabm", "kernel_id": "70474299"}, {"ref": "sjjung3377/ch8-notebook-8-2", "kernel_id": "70917326"}, {"ref": "sjjung3377/ch8-notebook-8-4-lgb-modeling", "kernel_id": "70919994"}, {"ref": "sjjung3377/ch8-notebook-8-3-baseline", "kernel_id": "70919099"}, {"ref": "dagyoung/241115-data-preparation-exploration", "kernel_id": "70766297"}, {"ref": "gocean/porto", "kernel_id": "70847154"}, {"ref": "sallytheking/241117-porto-sequro-copy", "kernel_id": "70933191"}, {"ref": "kalkeyseye/resampling-strategies-for-imbalanced-datasets", "kernel_id": "70324630"}, {"ref": "robertopark/2-porto-seguro-s-safe-driver-prediction", "kernel_id": "71094382"}, {"ref": "hsuweiho/notebookf157ffd167", "kernel_id": "73007058"}, {"ref": "beomseongkim/lightgbm-0-29158", "kernel_id": "74116726"}, {"ref": "alexanderkireev/01-ml-trainings-tabs", "kernel_id": "75287551"}, {"ref": "vslav27/dae-impl", "kernel_id": "75450267"}, {"ref": "csmohamedayman/dl-catg-porto-seguro-s-safe-driver-prediction", "kernel_id": "77950067"}, {"ref": "csmohamedayman/eda-tab-porto-seguro-s-safe-driver-prediction", "kernel_id": "77319024"}, {"ref": "attilammagyar/safe-driver-compo", "kernel_id": "77759570"}, {"ref": "jackshuto/driver-prediction-by-lightgbm", "kernel_id": "78271142"}, {"ref": "entropy06/porto-seguro-s-safe-driver-prediction", "kernel_id": "78810002"}, {"ref": "albertmoon/08-safedriverprediction-eda", "kernel_id": "88955371"}, {"ref": "albertmoon/09-safedriver-baselinemodel", "kernel_id": "89712052"}, {"ref": "tingjinliu/safe-driver-prdiction", "kernel_id": "90948698"}, {"ref": "rehdzdev/rehdz-portoseguro", "kernel_id": "90894091"}, {"ref": "sangseoseo/porto-seguro-saferdriverpredictioneda", "kernel_id": "91362574"}, {"ref": "frivas0708/kaggle-sprint-challenge-portosegurocompetition", "kernel_id": "91956433"}, {"ref": "davidrpugh/cs209-week-4-binary-classification", "kernel_id": "92785104"}, {"ref": "sangseoseo/porto-seguro-safedriverpredictionensemble", "kernel_id": "92404791"}, {"ref": "sangseoseo/porto-seguro-safedriverpredictionxgboost", "kernel_id": "92298766"}, {"ref": "k20250811/proyectofinalmodulo2", "kernel_id": "92916724"}, {"ref": "angelescobar503/predicci-n-del-conductor-seguro", "kernel_id": "94081566"}, {"ref": "billhernandez/competencia-kodigo", "kernel_id": "94071977"}, {"ref": "aquintanillabonilla/kodigo-proyectofinalmodulo2", "kernel_id": "94080123"}, {"ref": "bchems/porto-seguro-competition-imitation", "kernel_id": "97674604"}, {"ref": "shilljinglza/porto-seguro", "kernel_id": "97342528"}, {"ref": "ardaatsy/optuna-xgb-v2", "kernel_id": "106223605"}, {"ref": "beyzatopbas/porto-seguro-safe-driver-prediction", "kernel_id": "108990682"}, {"ref": "jalesummak/porto-seguro-s-safe-driver", "kernel_id": "111603595"}, {"ref": "youshuying/cp3403-project-youshuying", "kernel_id": "111723196"}, {"ref": "vincelinmaple126/cp3403-5634-project-group-17", "kernel_id": "114269487"}, {"ref": "vincelinmaple126/cp3403-project-personal-lin-han-wei", "kernel_id": "114269154"}, {"ref": "vincelinmaple126/cp3403-project-personal-han-wei-lin", "kernel_id": "114828318"}, {"ref": "vincelinmaple126/cp3403-project-personal-han-wei-lin5c3830777d", "kernel_id": "114960294"}, {"ref": "renzexuan/notebook14287c6119", "kernel_id": "114132039"}, {"ref": "zhangziyunzhang/notebook06b8c089db", "kernel_id": "114952029"}, {"ref": "vincelinmaple126/cp3403-project-group-17-new", "kernel_id": "115222749"}, {"ref": "zhangziyunzhang/cp3403-project-group-17", "kernel_id": "115214861"}, {"ref": "nishwanth12/notebook9704954da0", "kernel_id": "121657097"}, {"ref": "shirinsr/porto-seguro-01-eda", "kernel_id": "126860869"}, {"ref": "uv0xii/porto-seguro-safe-driver-prediction", "kernel_id": "134762064"}, {"ref": "archithareddym/porto-seguro-s-safe-driver-prediction-kaggle", "kernel_id": "135210676"}, {"ref": "ramanaeshwar/porto-seguro-safe-driver-prediction", "kernel_id": "135324451"}, {"ref": "sravani1828/porto-safe-driver", "kernel_id": "135357896"}, {"ref": "lakshmisrivalli5/safe-driver-prediction", "kernel_id": "135617076"}, {"ref": "chandragirisandeep/porto-seguro-safe-driver-prediction-decision-tre", "kernel_id": "135273081"}]}
{"competition_id": "7100", "kernels": []}
{"competition_id": "7104", "kernels": []}
{"competition_id": "7115", "kernels": [{"ref": "nimararora/script-to-generate-raw-images-in-subdirs", "kernel_id": "363151"}, {"ref": "mpekalski/convert-bson-to-tfrecord", "kernel_id": "370873"}, {"ref": "mpekalski/reading-tfrecord", "kernel_id": "372717"}, {"ref": "mpekalski/generate-md5-of-files", "kernel_id": "373640"}, {"ref": "preeth/cdiscount-s-image-keras-example", "kernel_id": "367627"}, {"ref": "inversion/processing-bson-files", "kernel_id": "360881"}, {"ref": "danofer/squeeze-baseline-lb-0-14", "kernel_id": "394092"}, {"ref": "restlessrational/viewing-bytes-as-images-retrieved-from-bson-dump", "kernel_id": "374151"}, {"ref": "mmsujan/cdiscount-image-classifier-f32cd3", "kernel_id": "409996"}, {"ref": "mmsujan/2-layer-cnn-adam-optimizer-and-5-epochs", "kernel_id": "410003"}, {"ref": "alekseit/pytorch-bson-dataset", "kernel_id": "429289"}, {"ref": "mihaskalic/keras-xception-model-0-68-on-pl-weights", "kernel_id": "392048"}, {"ref": "bguberfain/not-so-naive-way-to-convert-bson-to-files", "kernel_id": "365486"}, {"ref": "bguberfain/naive-keras-cdiscount", "kernel_id": "364046"}, {"ref": "bguberfain/breaking-most-common-baseline", "kernel_id": "363044"}, {"ref": "bguberfain/just-showing-a-few-images", "kernel_id": "362921"}, {"ref": "bguberfain/naive-statistics", "kernel_id": "362941"}, {"ref": "fernandoconstantino/keras-xception-model-0-68-on-pl-fork", "kernel_id": "399343"}, {"ref": "hamzafar/code-structure-to-build-and-improve-model", "kernel_id": "368297"}, {"ref": "hamzafar/transfer-learning-with-inception-v3", "kernel_id": "445348"}, {"ref": "hamzafar/working-with-batches-and-transfer-learning", "kernel_id": "448594"}, {"ref": "kambarakun/check-category-ratio-of-train-dataset", "kernel_id": "363389"}, {"ref": "kambarakun/check-md5-sha-1-hashsum-of-cdiscount-s-challenge", "kernel_id": "363614"}, {"ref": "lamdang/fast-shuffle-bson-generator-for-keras", "kernel_id": "386471"}, {"ref": "lamdang/models-to-combine-images-and-predict-items", "kernel_id": "491844"}, {"ref": "ezietsman/keras-convnet-with-fit-generator", "kernel_id": "374810"}, {"ref": "ezietsman/inception-v3-finetune", "kernel_id": "388773"}, {"ref": "vfdev5/data-visualization-and-analysis", "kernel_id": "362964"}, {"ref": "vfdev5/random-item-access", "kernel_id": "363469"}, {"ref": "am1to2/random-category-assignment", "kernel_id": "416592"}, {"ref": "am1to2/random-selection-of-categories", "kernel_id": "416617"}, {"ref": "am1to2/extracting-a-larger-sample-for-training", "kernel_id": "418526"}, {"ref": "am1to2/random-assignment-using-naive-statistics", "kernel_id": "426677"}, {"ref": "am1to2/keras-bson-custom-data-gen-img-aug-data-split", "kernel_id": "443968"}, {"ref": "am1to2/random-images-access-through-bson", "kernel_id": "442245"}, {"ref": "am1to2/keras-bson-data-generator-image-aug-data-split", "kernel_id": "441143"}, {"ref": "am1to2/inceptionresnetv2-tuning-callbacks-on-neptune-ml", "kernel_id": "480146"}, {"ref": "danieleewww/squeeze-baseline-lb-0-14", "kernel_id": "432659"}, {"ref": "zfturbo/squeeze-baseline-lb-0-14", "kernel_id": "376624"}, {"ref": "evanwang1028/lr-try", "kernel_id": "365594"}, {"ref": "sashulyak/simple-voting-on-your-submissions", "kernel_id": "470755"}, {"ref": "jihyeseo/classify-image-ecommerce", "kernel_id": "958634"}, {"ref": "czar123/notebooke312296740", "kernel_id": "467480"}, {"ref": "czar123/image-processing-working-f94bf9", "kernel_id": "467727"}, {"ref": "czar123/image-processing-working", "kernel_id": "466217"}, {"ref": "czar123/fork-of-c-discount-image-classification-15a6d0", "kernel_id": "468755"}, {"ref": "hvrigazov/splitting-the-bson-file", "kernel_id": "394832"}, {"ref": "humananalog/keras-generator-for-reading-directly-from-bson", "kernel_id": "371277"}, {"ref": "sujisuraj/test-tf-estimator", "kernel_id": "429121"}, {"ref": "ghassan/binary-category", "kernel_id": "385336"}, {"ref": "ghassan/converting-train-example-bson-to-csv-file", "kernel_id": "410954"}, {"ref": "rdebbe/prepare-train-and-validation-data-for-keras-models", "kernel_id": "370225"}, {"ref": "rdebbe/fine-tunning-inceptionv3-in-the-keras-api", "kernel_id": "370239"}, {"ref": "arathee2/read-bson-into-pandas-and-start-exploring", "kernel_id": "363722"}, {"ref": "aloisiodn/fast-thread-safe-keras-generator-from-bin-files", "kernel_id": "394165"}, {"ref": "aloisiodn/fast-keras-generator-for-deepsense-ai", "kernel_id": "399111"}, {"ref": "aloisiodn/deepsense-ai-experiment-example", "kernel_id": "399136"}, {"ref": "saptak7/displaying-images-in-train-example-bson-file", "kernel_id": "363643"}, {"ref": "saptak7/2-layer-cnn-adam-optimizer-and-5-epochs", "kernel_id": "365136"}, {"ref": "saptak7/using-pre-trained-inception-v3-model", "kernel_id": "368918"}, {"ref": "danielhavir/pytorch-dataloader", "kernel_id": "425872"}, {"ref": "intelpen/multi-class-nn-logreg-using-tensor-flow", "kernel_id": "372135"}, {"ref": "carlossouza/extract-image-files-from-bson-and-save-to-disk", "kernel_id": "365000"}, {"ref": "cerebrium/multi-class-logistic-regression-using-tensor-flow", "kernel_id": "364818"}, {"ref": "dragonx101/dragon-tooth-classification", "kernel_id": "410977"}, {"ref": "omkar25/cdiscount-image-classifier", "kernel_id": "366267"}, {"ref": "dodomi/first", "kernel_id": "387979"}, {"ref": "ffff00/basic-preprocessing-for-images-with-bad-scale", "kernel_id": "368062"}, {"ref": "ndahlquist/looking-for-features-in-jpeg-byte-by-byte", "kernel_id": "367531"}, {"ref": "pradhan1234/image-classification-final", "kernel_id": "469376"}, {"ref": "pradhan1234/image-processing-working-f94bf9-84cd08", "kernel_id": "467729"}, {"ref": "pradhan1234/fork-of-c-discount-image-classification", "kernel_id": "467619"}, {"ref": "pradhan1234/keras-gen-reading-directly-bson-for-project", "kernel_id": "468038"}, {"ref": "pradhan1234/image-processing", "kernel_id": "448768"}, {"ref": "barotdhrumil21/processing-bson-files-65b32b", "kernel_id": "450436"}, {"ref": "sophieg/explore-dataset", "kernel_id": "363297"}, {"ref": "sophieg/extract-features", "kernel_id": "363357"}, {"ref": "sophieg/convert-bson-to-hdf5", "kernel_id": "363733"}, {"ref": "sophieg/feature-extraction-dig", "kernel_id": "369595"}, {"ref": "blazeka/validate-download-with-sha256-hash", "kernel_id": "363038"}, {"ref": "blazeka/multi-gpu-tensorflow-convnet-0-65", "kernel_id": "363628"}, {"ref": "theblackcat/loading-bson-data-for-keras-fit-generator", "kernel_id": "369593"}, {"ref": "theblackcat/category-frequency-distribution-on-test-data", "kernel_id": "369759"}, {"ref": "yoannpradat/cdiscount-classification", "kernel_id": "369275"}, {"ref": "leilitum/read-bson-file", "kernel_id": "463333"}, {"ref": "jwleochoi/knn-nb-svm-w-train-example", "kernel_id": "488488"}, {"ref": "jwleochoi/sklearn-mlpclassifier-random-access", "kernel_id": "489604"}, {"ref": "jaehyunchoi14/jaehyun-choi-yonsei-university-social-innovation", "kernel_id": "488535"}, {"ref": "tejasshahpuri/resnet-101", "kernel_id": "440885"}, {"ref": "tejasshahpuri/tensorflow-convnet", "kernel_id": "440916"}, {"ref": "viswajithkn/cdiscountclassification", "kernel_id": "445531"}, {"ref": "qiandong/binary-category", "kernel_id": "436220"}, {"ref": "guchenghao/keras-generator-for-reading-directly-from-bson", "kernel_id": "501716"}, {"ref": "guchenghao/cdiscount-classification", "kernel_id": "501759"}, {"ref": "guchenghao/cdiscount-s-image-classification", "kernel_id": "501850"}, {"ref": "sachithanandamk/notebook27ddcd4597", "kernel_id": "12648670"}, {"ref": "yashaswisingh/notebook28a56db74c", "kernel_id": "12646170"}, {"ref": "yashaswisingh/bson-preprocessing", "kernel_id": "12613560"}, {"ref": "manojtiwari11v/processing-bson-files", "kernel_id": "15758467"}, {"ref": "manikanthgoud/cdiscount-eda", "kernel_id": "25186070"}, {"ref": "defcodeking/metadata-of-records-for-shuffling-val-split", "kernel_id": "26620496"}, {"ref": "defcodeking/the-best-way-of-handling-the-bson-files", "kernel_id": "27305906"}, {"ref": "nextroot/simple-pytorch-implementation", "kernel_id": "27257444"}, {"ref": "kaoutarou/cdiscount-s-image-classification-cnn", "kernel_id": "27681837"}, {"ref": "arti1117/cdiscount-s-image-classification-challenge", "kernel_id": "32815319"}]}
{"competition_id": "7126", "kernels": []}
{"competition_id": "7144", "kernels": []}
{"competition_id": "7162", "kernels": [{"ref": "wendykan/most-repeated-and-most-skipped-artists-eda", "kernel_id": "374753"}, {"ref": "kunstmord/exploring-the-users", "kernel_id": "423998"}, {"ref": "kunstmord/exploring-the-songs", "kernel_id": "381499"}, {"ref": "mrooijer/how-to-ensemble-in-r", "kernel_id": "403378"}, {"ref": "mrooijer/first-data-cleaning-with-data-table", "kernel_id": "375568"}, {"ref": "asmitavikas/feature-engineered-0-68310", "kernel_id": "431811"}, {"ref": "ceshine/train-and-test-member-distributions", "kernel_id": "399066"}, {"ref": "danofer/getting-started-kkbox-music-py", "kernel_id": "375397"}, {"ref": "danofer/simple-lgbm-starter-with-3-fold-cv-lb-0-65249", "kernel_id": "378233"}, {"ref": "danofer/kkbox-music-initialmerge", "kernel_id": "478425"}, {"ref": "loveall/feature-engineered-0-67500", "kernel_id": "432111"}, {"ref": "priyaananthram/eda-of-music-recommendation-system", "kernel_id": "376290"}, {"ref": "paulyang/notebook92d43f49af", "kernel_id": "449243"}, {"ref": "sivajid/bad-characters-in-songs-and-song-extra-info", "kernel_id": "428417"}, {"ref": "hireme/light-script-using-lightgmb-0-61", "kernel_id": "375435"}, {"ref": "opanichev/xgb-baseline", "kernel_id": "374927"}, {"ref": "priyankaselvan/cubupdate", "kernel_id": "435552"}, {"ref": "pallabs/pallab-sarkar-kkbox-music-recommendation-eda-i", "kernel_id": "377814"}, {"ref": "pallabs/basic-eda-w-systemdetails", "kernel_id": "377603"}, {"ref": "pallabs/basic-xgbcoding-wo-featureengg-wo-hyperparam", "kernel_id": "378005"}, {"ref": "bitit1994/exploration-using-pandas-pivot-table", "kernel_id": "393951"}, {"ref": "bitit1994/parameter-grid-search-lgbm-with-scikit-learn", "kernel_id": "394930"}, {"ref": "jihyeseo/music-recommend", "kernel_id": "958609"}, {"ref": "alexklibisz/songs-csv-quote-errors-cause-513-missing-songs", "kernel_id": "475432"}, {"ref": "alexklibisz/geographic-analysis-country-language-frequencies", "kernel_id": "395157"}, {"ref": "aloisiodn/xgb-baseline-0-65791", "kernel_id": "380591"}, {"ref": "adiamaan/eda-and-feature-engineering", "kernel_id": "412512"}, {"ref": "vinnsvinay/introduction-to-boosting-using-lgbm-lb-0-68357", "kernel_id": "442963"}, {"ref": "jeru666/data-exploration-and-analysis", "kernel_id": "375556"}, {"ref": "jeru666/interesting-kkbox-insights-new-features", "kernel_id": "418690"}, {"ref": "lystdo/beat-kkbox-benchmark-without-using-metadata-0-62", "kernel_id": "376789"}, {"ref": "toorkp/wsdm-recommendations", "kernel_id": "477856"}, {"ref": "myonin/music-recommends-rf-vs-xgboost-vs-catboost", "kernel_id": "445135"}, {"ref": "myonin/music-recommendation-random-forest-xgboost", "kernel_id": "426451"}, {"ref": "asindico/kkbox-music-the-essential-kickstart", "kernel_id": "376048"}, {"ref": "yohanb/yet-another-lightgbm-starter-8gb-ram", "kernel_id": "380051"}, {"ref": "plarmuseau/recommender-tfidf-svd-lgb-auc-1", "kernel_id": "382581"}, {"ref": "plarmuseau/simple-recommender-pivot-tfidf-cossim", "kernel_id": "374817"}, {"ref": "plarmuseau/negative-recommender-or-skipped-songs", "kernel_id": "375418"}, {"ref": "plarmuseau/basic-svd-recommender-0-6", "kernel_id": "375527"}, {"ref": "srini1304/music-recommender-firstcut", "kernel_id": "380720"}, {"ref": "nikitadatascientist/member-and-songs-visualization", "kernel_id": "494353"}, {"ref": "juanumusic/days-instead-of-dates-lgbm-0-66870", "kernel_id": "388508"}, {"ref": "kristohb/sound-of-analytics", "kernel_id": "432105"}, {"ref": "sidshady/basic-data-analysis-and-exploration", "kernel_id": "415949"}, {"ref": "sidshady/light-gbm-lb-0-65189", "kernel_id": "437144"}, {"ref": "rjcampa/extremely-randomized-trees-use-in-ensemble", "kernel_id": "487269"}, {"ref": "him4318/some-changes", "kernel_id": "495138"}, {"ref": "him4318/notebook54ea6fcd31", "kernel_id": "493196"}, {"ref": "kamilkk/i-have-to-say-this", "kernel_id": "403473"}, {"ref": "kamilkk/simple-fast-lgbm-0-6685", "kernel_id": "375936"}, {"ref": "mahendrasinghmeena/notebookce982a6579", "kernel_id": "430130"}, {"ref": "s920361/days-instead-of-dates-lgbm-0-66870-8b01c7", "kernel_id": "419035"}, {"ref": "s00100624/demographic-based-recommendation-system-kkbox", "kernel_id": "669109"}, {"ref": "polo222/train-and-test-member-and-song-distributions", "kernel_id": "405016"}, {"ref": "hwijongkim/analysis-r", "kernel_id": "466311"}, {"ref": "rjh336/xgb-leakedtarget", "kernel_id": "444456"}, {"ref": "esleao/primeiro-vez-na-vida-0-60570", "kernel_id": "432448"}, {"ref": "liulongxiao1/pair-the-order-of-train-and-test-to-actual-date", "kernel_id": "441055"}, {"ref": "joshwilkins2013/examining-irsc-data", "kernel_id": "396600"}, {"ref": "joshwilkins2013/churn-baby-churn-user-logs", "kernel_id": "413511"}, {"ref": "nkroher/exploring-genre-co-occurrence-among-users", "kernel_id": "531800"}, {"ref": "lipei13/fork-of-kkbox", "kernel_id": "458455"}, {"ref": "denasafonov/fork-of-kkbox", "kernel_id": "457986"}, {"ref": "warpri81/info-for-splitting-train-data-for-validation", "kernel_id": "450711"}, {"ref": "warpri81/kkbox-cf-svd", "kernel_id": "428931"}, {"ref": "freshwater/music-recommend-lgbm", "kernel_id": "482211"}, {"ref": "freshwater/basic-of-lgbm", "kernel_id": "487518"}, {"ref": "s00100624/music-recommendation-python", "kernel_id": "1313694"}, {"ref": "rohandx1996/recommendation-system-with-83-accuracy-lgbm", "kernel_id": "1274422"}, {"ref": "loknathroy/kkbox-music-the-essential-kickstart-4d1fe3", "kernel_id": "3524323"}, {"ref": "zfayfay/music-recommendation-using-random-forest-xgboos", "kernel_id": "4915216"}, {"ref": "terminate9298/music-recommandation-system", "kernel_id": "5100130"}, {"ref": "revanthrex/kkbox-music-recommender-preprocessing-eda", "kernel_id": "7202383"}, {"ref": "moep000/music-recommendation-random-forest-xgboost", "kernel_id": "7112471"}, {"ref": "yogeshkanade08/kernel1e4c1e6a8f", "kernel_id": "8740511"}, {"ref": "panks03/music-recommendation-using-collaborative-mechanism", "kernel_id": "9037439"}, {"ref": "dhsong13/model-v1-mf-hyper-parameter-adjustment", "kernel_id": "10120934"}, {"ref": "funguy/simple-fast-lgbm-0-6685", "kernel_id": "12279165"}, {"ref": "mukamikareko/music-recommender-system", "kernel_id": "20931152"}, {"ref": "kalluruamarnathreddy/mini-pro-analysis", "kernel_id": "22117206"}, {"ref": "jyotsnabn/task1-music-recommendation", "kernel_id": "26683928"}, {"ref": "infinator/music-recommendation-system", "kernel_id": "27647947"}, {"ref": "allanyiinai/kkbox-recommendation", "kernel_id": "29844730"}, {"ref": "rayenghali023/music-recommender-system", "kernel_id": "29735436"}, {"ref": "abubinfahd/music-recommendation-system", "kernel_id": "30479809"}, {"ref": "pedrochansfanego/tfm-master-big-data-and-data-science-pedro-chans", "kernel_id": "30479620"}, {"ref": "abduulrahmankhalid/kkbox-music-recommendations-with-boostings", "kernel_id": "31773025"}, {"ref": "minlog/kkbox-recommendation-system-sjds", "kernel_id": "31987181"}, {"ref": "mo3azsoliman/music-recommendation-with-boosting", "kernel_id": "45817805"}, {"ref": "pahirathannithilan/music-recommendation-system-letsgrowmore", "kernel_id": "47747496"}, {"ref": "electrichands/collaborative-filtering", "kernel_id": "52588561"}, {"ref": "ipatra/music-recommendation-system", "kernel_id": "60122740"}, {"ref": "anfoxy/rs-lightfm", "kernel_id": "61236883"}, {"ref": "anfoxy/rs-implicit", "kernel_id": "61238120"}, {"ref": "anfoxy/rs-surprise", "kernel_id": "61147165"}, {"ref": "tamkadin/eda-data", "kernel_id": "67693946"}, {"ref": "manhnguyen193/eda-data-bff04c", "kernel_id": "73595567"}, {"ref": "manhnguyen193/lightfm-kkbox", "kernel_id": "73651512"}, {"ref": "karu1k0/eda-data", "kernel_id": "73571430"}, {"ref": "trnggiangdng/kkbox", "kernel_id": "102964744"}, {"ref": "joyaoh/cs5481-dataengineering-groupproject", "kernel_id": "103573012"}, {"ref": "obosrish/recomusic", "kernel_id": "105778932"}, {"ref": "minaunghtun/notebookd4d203fabb", "kernel_id": "105487942"}]}
{"competition_id": "7163", "kernels": [{"ref": "wendykan/kkbox-churn-read-data", "kernel_id": "366358"}, {"ref": "clustifier/mean-per-reg-via-lb-0-28951", "kernel_id": "367069"}, {"ref": "ecodan/user-logs-summarizer", "kernel_id": "471711"}, {"ref": "ambarish/eda-wsdm", "kernel_id": "375320"}, {"ref": "danofer/kkbox-churn-getting-started", "kernel_id": "371323"}, {"ref": "danofer/regressing-during-insomnia-3ea24b-v6-fork", "kernel_id": "466626"}, {"ref": "danofer/regressing-during-insomnia-b36d3b-v6-v2", "kernel_id": "466706"}, {"ref": "danofer/kkbox-churn-munge-v2", "kernel_id": "466732"}, {"ref": "danofer/get-extra-data-kkbox-churn-v2", "kernel_id": "466903"}, {"ref": "loveall/kkbox-churn-read-data", "kernel_id": "366757"}, {"ref": "loveall/should-i-stay-or-should-i-go-kkbox-edassk", "kernel_id": "366692"}, {"ref": "loveall/make-user-log-and-transactions-features-lb-0-20", "kernel_id": "394479"}, {"ref": "loveall/mean-baseline-gk", "kernel_id": "431676"}, {"ref": "autokad/xg-boost-2-08398-lb-no-user-log-data", "kernel_id": "406768"}, {"ref": "hireme/kaggle-please-do-something-lb-0-0000", "kernel_id": "407655"}, {"ref": "opanichev/mean-baseline-lb-0-30786", "kernel_id": "366837"}, {"ref": "rastaman/churn-or-no-churn-exploration-data-analysis", "kernel_id": "374110"}, {"ref": "zhihui/feature-construction-and-distribution", "kernel_id": "409940"}, {"ref": "lebroschar/regressing-during-insomnia-0-21353", "kernel_id": "371058"}, {"ref": "mchlkffl/definition-of-churn", "kernel_id": "394787"}, {"ref": "zoupet/processing-huge-datasets-user-log", "kernel_id": "401599"}, {"ref": "carrie1/exploring-membership-data-and-customer-churn", "kernel_id": "367365"}, {"ref": "carrie1/number-of-rows-in-the-user-logs-file", "kernel_id": "368121"}, {"ref": "tunguz/insomniac-classification-900-0-21415", "kernel_id": "370973"}, {"ref": "vishinema/notebook14c453a2f3", "kernel_id": "430863"}, {"ref": "vishinema/fork-of-notebooka6ccda8171", "kernel_id": "430938"}, {"ref": "vishinema/notebooka6ccda8171", "kernel_id": "430660"}, {"ref": "danieleewww/1st-kaggle-challenge", "kernel_id": "447700"}, {"ref": "jagangupta/processing-huge-datasets-user-log", "kernel_id": "371054"}, {"ref": "jinyongliu/initial-code", "kernel_id": "372958"}, {"ref": "ripcurl/feedforward-neural-network-0-12174", "kernel_id": "745353"}, {"ref": "ratna364/churn-prediction1", "kernel_id": "392400"}, {"ref": "jihyeseo/churn-kkbox-eda", "kernel_id": "958474"}, {"ref": "keremt/save-50-memory-date-parser", "kernel_id": "442266"}, {"ref": "lifinger/wsdm-kkbox", "kernel_id": "775242"}, {"ref": "anwartheravian/the-most-basic-baseline-lb-0-30616", "kernel_id": "395647"}, {"ref": "arpitajena/xgb-with-feature-engineering-lb-0-14482", "kernel_id": "481924"}, {"ref": "isaranja/porto-seguro-s-ft-algorithm-spot-check", "kernel_id": "375294"}, {"ref": "melwinjose/exploratory-data-analysis-is-auto-renew", "kernel_id": "377092"}, {"ref": "damianpanek/gain-inf-from-transactions", "kernel_id": "374765"}, {"ref": "aloisiodn/minutes-median-baseline-lb0-30785", "kernel_id": "368234"}, {"ref": "gmaclenn/churn-prediction-gmaclenn", "kernel_id": "498076"}, {"ref": "jeru666/memory-reduction-and-data-insights", "kernel_id": "371167"}, {"ref": "jeru666/did-you-think-of-these-features", "kernel_id": "393968"}, {"ref": "andreslindner/churn-or-no-churn-wsdm-analysis", "kernel_id": "407683"}, {"ref": "lsk7421/pretreatment", "kernel_id": "447567"}, {"ref": "toorkp/churn-wsdm", "kernel_id": "474192"}, {"ref": "manjeetsingh/should-i-stay-or-should-i-go-kkbox-eda", "kernel_id": "395742"}, {"ref": "suyashshetty/exploratory-analysis", "kernel_id": "378329"}, {"ref": "jmbull/pre-processor-my-train-and-test", "kernel_id": "420707"}, {"ref": "timip8/regressing-during-insomnia-0-21496-8b2759", "kernel_id": "466837"}, {"ref": "numberswithkartik/wsdm-can-we-predict", "kernel_id": "370075"}, {"ref": "dguliani/methods-to-use-user-logs-and-transactions", "kernel_id": "375083"}, {"ref": "pimppm5/explorer-train-and-transactions-data-sets", "kernel_id": "370132"}, {"ref": "sudhirnl7/simple-logistic-regression-wisdom", "kernel_id": "413553"}, {"ref": "kevinbonnes/r-churn-prediction-baseline", "kernel_id": "367410"}, {"ref": "kevinbonnes/r-incorporating-user-logs-csv-in-your-model", "kernel_id": "372601"}, {"ref": "gaussmake1994/xgboost-with-members-features-lb-0-28196", "kernel_id": "368474"}, {"ref": "vishwas31/notebookcd55e70c77", "kernel_id": "430629"}, {"ref": "headsortails/should-i-stay-or-should-i-go-kkbox-eda", "kernel_id": "366524"}, {"ref": "quatrod/notebook1f7dacdf94", "kernel_id": "376178"}, {"ref": "dlinde/churn-prediction-dlinde", "kernel_id": "435315"}, {"ref": "juanumusic/reducing-memory-and-managing-dataframes-tidy", "kernel_id": "373382"}, {"ref": "qinhui1999/regressing-during-insomnia-0-21496", "kernel_id": "368737"}, {"ref": "infinitewing/lightgbm-using-scala-label-201703", "kernel_id": "496673"}, {"ref": "randylaosat/churn-to-the-left-churn-to-the-right-kkbox", "kernel_id": "377390"}, {"ref": "julienhe/merged-data", "kernel_id": "485307"}, {"ref": "julienhe/xgb01", "kernel_id": "477135"}, {"ref": "demobin/make-user-log-and-transactions-features-lb-0-20", "kernel_id": "377750"}, {"ref": "shuojin/memory-reduction", "kernel_id": "407998"}, {"ref": "aroragaurav/1-merging-the-data-sets-and-memory-reduction", "kernel_id": "382938"}, {"ref": "stravinsky/exploring-the-time-series-data-user-logs-split", "kernel_id": "373888"}, {"ref": "pimjan/explorer-train-and-transactions-data-sets", "kernel_id": "372779"}, {"ref": "moonday/first-steps-in-churn-prediction-problem", "kernel_id": "465468"}, {"ref": "liulongxiao1/notebook7a38f004e3", "kernel_id": "379612"}, {"ref": "joshwilkins2013/churn-baby-churn-user-logs", "kernel_id": "413511"}, {"ref": "npa02012/reduce-user-logs-csv-to-20gb", "kernel_id": "396306"}, {"ref": "gao297/team1", "kernel_id": "392117"}, {"ref": "emeegoda/kkbox-team", "kernel_id": "435318"}, {"ref": "bethxu/12345", "kernel_id": "416620"}, {"ref": "rabeen/make-user-log-and-transactions-features-lb-0-20", "kernel_id": "397012"}, {"ref": "guiyom/user-logs-csv-reduce-memory-with-new-tips", "kernel_id": "422805"}, {"ref": "zxql2015/1-autoencoder-with-keras", "kernel_id": "453145"}, {"ref": "chisan007/kkboxchurnprediction", "kernel_id": "431113"}, {"ref": "dylanwithdata/clarification-needed-which-datasets-to-use-when", "kernel_id": "465677"}, {"ref": "alexey789/ltlle", "kernel_id": "487434"}, {"ref": "alexey789/fork-of-notebook0c4c99ff1e", "kernel_id": "487060"}, {"ref": "ivanka727/wsdm-kkbox-21a889", "kernel_id": "816898"}, {"ref": "ivanka727/wsdm-kkbox-1ce02d", "kernel_id": "842461"}, {"ref": "garylee29181/fork-of-churn", "kernel_id": "815088"}, {"ref": "garylee29181/churn", "kernel_id": "765426"}, {"ref": "tackytachie/ml-project-kkbox-churn-or-not-challenge", "kernel_id": "715384"}, {"ref": "hjsdssz/kkbox-churn-prediction-model", "kernel_id": "2886531"}, {"ref": "vikshiv/kernel0ad5432403", "kernel_id": "3705624"}, {"ref": "soubhik007/kernel909d2a323f", "kernel_id": "4094891"}, {"ref": "arsalanpardesi/kkbox-churn-arr-analysis", "kernel_id": "13475211"}, {"ref": "sparth12/hw4-r", "kernel_id": "26567867"}, {"ref": "alexanderblira/previs-o-de-churn", "kernel_id": "31911255"}, {"ref": "sganesveevo/kkbox-analysis-with-statistical-models", "kernel_id": "104115754"}, {"ref": "gsandhya31/music-streaming-churn-prediction-v1", "kernel_id": "107378177"}, {"ref": "philkuch/kucheriavykh-i-25-26-operational-practice-muiv", "kernel_id": "107829444"}, {"ref": "zile228/kkbox-simulation-2", "kernel_id": "113673445"}, {"ref": "hoianthi/features-prep", "kernel_id": "114257237"}, {"ref": "mehedi860/cross-domain-churn-publication-pipeline-kaggle", "kernel_id": "116281042"}, {"ref": "gunjan9960/churn-prediction-music-app", "kernel_id": "116366930"}, {"ref": "tannguyenueh/kkbox-feature-prep", "kernel_id": "117689817"}, {"ref": "mianaamir1/chrun-prediction-final-code", "kernel_id": "117475683"}, {"ref": "yousefabdalbary/ai-churn-prediction", "kernel_id": "118240581"}, {"ref": "siddpanda2307/churn-analysis-complete-code", "kernel_id": "131046642"}, {"ref": "navdeeshwarsuman/kkbox-s-churn-prediction-challenge-final", "kernel_id": "131137478"}]}
{"competition_id": "7165", "kernels": []}
{"competition_id": "7173", "kernels": [{"ref": "kashnitsky/correct-time-aware-cross-validation-scheme", "kernel_id": "802160"}, {"ref": "kashnitsky/alice-logistic-regression-baseline", "kernel_id": "741117"}, {"ref": "adityaecdrid/initial-eda", "kernel_id": "809062"}, {"ref": "intelmt/alice-vs-intruder-simple-feature-search-and-eda", "kernel_id": "883230"}, {"ref": "akorn95/site-feature-to-rise-slightly-in-raiting", "kernel_id": "824187"}, {"ref": "pavelvpster/alice-time-features-importance", "kernel_id": "814879"}, {"ref": "smyrbdr/simple-but-useful-time-features-eda", "kernel_id": "886610"}, {"ref": "romanovma/alice-very-basic-eda", "kernel_id": "886108"}, {"ref": "velavok/logit-improved-presentation-of-sites", "kernel_id": "1995340"}, {"ref": "hakeydotcom/additional-time-features-and-logit", "kernel_id": "1369461"}, {"ref": "srogovtsev/a-simple-demo-of-sklearn-pipelines", "kernel_id": "1787390"}, {"ref": "vovusique/features-test-bed-logit", "kernel_id": "2009940"}, {"ref": "zhanglic/correct-time-aware-cross-validation-scheme", "kernel_id": "2019859"}, {"ref": "dlarionov/alice-finding-perfect-features", "kernel_id": "2030869"}, {"ref": "agorinenko/catch-me-if-you-can", "kernel_id": "2642237"}, {"ref": "karthikjvk/initial-eda-ba165b", "kernel_id": "2211885"}, {"ref": "johnnytodd/111111111", "kernel_id": "2995179"}, {"ref": "oo7feynman/pipeline-creation", "kernel_id": "3219819"}, {"ref": "kashnitsky/model-validation-in-a-competition", "kernel_id": "3134484"}, {"ref": "kashnitsky/alice-template-for-your-solution", "kernel_id": "3134527"}, {"ref": "michaelsone/first-eda", "kernel_id": "3749344"}, {"ref": "sbsatter/assignment-2-mlcourse-ai", "kernel_id": "3209986"}, {"ref": "polakowo/alice-best-practices-in-feature-selection", "kernel_id": "3342503"}, {"ref": "artnikitin/using-pipelines-for-faster-feature-testing", "kernel_id": "4388413"}, {"ref": "zmey56/kernelffc9844136", "kernel_id": "5950053"}, {"ref": "alekseyeliseev/alice-tf-idf-fe-logit-regression", "kernel_id": "6999897"}, {"ref": "alekseyeliseev/alice-logit-regression-baseline", "kernel_id": "6472369"}, {"ref": "mkgrewal/model-validation-in-a-competition", "kernel_id": "6342621"}, {"ref": "gooogr/data-generator-for-additional-zipped-data", "kernel_id": "6014011"}, {"ref": "vasilisapp/catch-me-competition", "kernel_id": "6405649"}, {"ref": "sgdread/model-validation-in-a-competition-fixing-cv", "kernel_id": "6703869"}, {"ref": "wirexia/homework-5", "kernel_id": "6724181"}, {"ref": "ilyakhrushchcev/alice-logit-regression-baseline", "kernel_id": "6922138"}, {"ref": "morkvas/learning-curves", "kernel_id": "7872640"}, {"ref": "konovalex/simple-fe-sgd", "kernel_id": "7907458"}, {"ref": "alexeyanofryev/using-pipelines-for-faster-feature-testing", "kernel_id": "7497994"}, {"ref": "alexeyanofryev/model-validation-in-a-competition", "kernel_id": "7455695"}, {"ref": "alexeyanofryev/catch-me-if-you-can-my-final-model", "kernel_id": "7481082"}, {"ref": "kozlowladimir/alice-first-steps", "kernel_id": "8060120"}, {"ref": "lidiiachernysh/logistic-regression-baseline-homework", "kernel_id": "8931282"}, {"ref": "vladzern/catch-me-if-you-can-version1", "kernel_id": "8682062"}, {"ref": "gigigigi/bi-301-urzhumov", "kernel_id": "9627933"}, {"ref": "eugenezavialov/zav-bi301", "kernel_id": "9629916"}, {"ref": "pavelurzhumov/urzhumov-bi-301", "kernel_id": "9634424"}, {"ref": "nehabansal/beginner-notebook-feature-creation", "kernel_id": "10449877"}, {"ref": "ishwarhegde/ishwara-alice-comp-logistic-regression-baseline", "kernel_id": "11615055"}, {"ref": "viktorkorennoy/viktor-korennoy-coursera-final-project", "kernel_id": "11390893"}, {"ref": "igorzenkov/notebook5c03b94580", "kernel_id": "11435016"}, {"ref": "igor4566/pipelines-by-artnikitin-tuning-c-param", "kernel_id": "12863981"}, {"ref": "marinatrofimovich/notebookbc4c35eb42", "kernel_id": "12589576"}, {"ref": "matthpatth/alice-intruder-problem", "kernel_id": "13539285"}, {"ref": "beunickxiii/alice", "kernel_id": "13681484"}, {"ref": "valeriisielikhov/alice", "kernel_id": "13453500"}, {"ref": "mariannesabanchieva/marianna-sabanchieva", "kernel_id": "13593665"}, {"ref": "aaaaaaa6/notebook2fd125407f", "kernel_id": "14142399"}, {"ref": "ivankomarov/correct-cross-validation-dissect", "kernel_id": "15755699"}, {"ref": "ivankomarov/model-validation-in-a-competition-dissect-2", "kernel_id": "15756913"}, {"ref": "ivankomarov/alice-logistic-regression-baseline-dissect-2", "kernel_id": "15298682"}, {"ref": "ilyayushkov/good-features-bad-features-new-features", "kernel_id": "15944211"}, {"ref": "t0b1111/finding-alice", "kernel_id": "18595920"}, {"ref": "vsevolodkachan/search-alice-s", "kernel_id": "20343121"}, {"ref": "ivankomarov/hw2-data-analysis", "kernel_id": "25900318"}, {"ref": "diasseraliyev/alice-submission-01", "kernel_id": "26631014"}, {"ref": "omorozova/catch-me-if-you-can-ods-competition", "kernel_id": "27393356"}, {"ref": "danmini/notebook6b0f48ae7e", "kernel_id": "33877937"}, {"ref": "mikhailkosov/alice-logistic-regression", "kernel_id": "34259312"}, {"ref": "mstanislaus/catch-me-if-you-can-ods-competition", "kernel_id": "34947598"}, {"ref": "satheeshbhukya1/catch-me-if-you-ca-modelling-with-diff-cvscores", "kernel_id": "36327220"}, {"ref": "astemirpan/catch-me-if-you-can", "kernel_id": "37735345"}, {"ref": "danialrussia/top-50-with-4-features", "kernel_id": "43566732"}, {"ref": "maxim9012/catch-me-if-you-can-intruder-detection-through-we", "kernel_id": "44850089"}, {"ref": "kroha5/alice-nn-lstm", "kernel_id": "46880434"}, {"ref": "tttrrraaahhh/alice-eda-logistic-tvae", "kernel_id": "47348405"}, {"ref": "butros/webpage-session-user-detection-alice-comp-butros", "kernel_id": "50646482"}, {"ref": "mitul1999/novel-neural-network-model-for-time-series-forecas", "kernel_id": "61473114"}, {"ref": "marammohamedali/novel-neural-network-model-for-time-series-forecas", "kernel_id": "64562502"}, {"ref": "nazagasayed/notebookfabf3c1e09", "kernel_id": "64565281"}, {"ref": "ethanwchen/intrusion-detection-alice-w-time-series-cv", "kernel_id": "65179053"}, {"ref": "egorserov/if-you-are-not-ceva-dont-check-this", "kernel_id": "65573337"}, {"ref": "aitbekovalibek/alice-by-logic", "kernel_id": "65478600"}, {"ref": "surapitthaibkhuang/catch-me-if-you-can-alice", "kernel_id": "66610324"}, {"ref": "olesya38/final-catch", "kernel_id": "67908862"}, {"ref": "ashioyajotham/catch-me-if-you-can", "kernel_id": "69847411"}, {"ref": "mrmarvels30/pish-final-attestation-1", "kernel_id": "71925224"}, {"ref": "khushbukakdiya/catch-me-if-you-can", "kernel_id": "71716446"}, {"ref": "isha3311/notebookc658a93406", "kernel_id": "72512376"}, {"ref": "tracyporter/catchme-et", "kernel_id": "73628916"}, {"ref": "tracyporter/catchme-passiveagressive", "kernel_id": "73624944"}, {"ref": "tracyporter/catchme-extratrees", "kernel_id": "73670449"}, {"ref": "tracyporter/catchme-log-reg", "kernel_id": "73668285"}, {"ref": "fdavidsantillan/catch-me-if-you-can-alice-lstm-dpm", "kernel_id": "74293701"}, {"ref": "mikhaylov1007/alice", "kernel_id": "82114574"}, {"ref": "nastyakudryawtsewa/notebook049adadd10", "kernel_id": "94280068"}, {"ref": "artemdmitrievich/catch-me-if-you-can", "kernel_id": "94273857"}, {"ref": "rocetdev/alice-anomaly", "kernel_id": "102460222"}, {"ref": "amit393/notebook23541d4486", "kernel_id": "103482301"}, {"ref": "hmnshudhmn24/catch-me-if-you-can-alice-score-0-94219", "kernel_id": "105666719"}]}
{"competition_id": "7181", "kernels": []}
{"competition_id": "7187", "kernels": []}
{"competition_id": "7199", "kernels": []}
{"competition_id": "7214", "kernels": []}
{"competition_id": "7219", "kernels": []}
{"competition_id": "7249", "kernels": []}
{"competition_id": "7277", "kernels": [{"ref": "konradb/prophecy-per-restaurant-with-validation", "kernel_id": "459998"}, {"ref": "konradb/lightgbm-with-fe-and-validation", "kernel_id": "464253"}, {"ref": "domcastro/surprise-me-3-get-the-kettle-on", "kernel_id": "508129"}, {"ref": "breakfastpirate/cross-validation-methodology-using-16-golden-week", "kernel_id": "480776"}, {"ref": "breakfastpirate/weeks-before-after-golden-week-2016", "kernel_id": "475443"}, {"ref": "nigelcarpenter/hklee-lb-0-496-r-port", "kernel_id": "466200"}, {"ref": "jofaichow/simple-forecast-in-r", "kernel_id": "532885"}, {"ref": "fuhang/1st-place-lgb-model-public-0-470-private-0-502", "kernel_id": "603803"}, {"ref": "faizalabdkadir/recruit-visual-eda-itadakimasu", "kernel_id": "473129"}, {"ref": "vykhand/simply-plot-store-timeseries", "kernel_id": "592903"}, {"ref": "hubifeng/jack-japan-s-python-version", "kernel_id": "718584"}, {"ref": "riteshsinha/single-xgboost-model-public-lb-481", "kernel_id": "597371"}, {"ref": "danofer/surprise-me", "kernel_id": "506413"}, {"ref": "danofer/naive-reserves-data-munge", "kernel_id": "461935"}, {"ref": "loveall/a-japanese-journey", "kernel_id": "501576"}, {"ref": "roseperrone/plots-for-individual-restaurants", "kernel_id": "468000"}, {"ref": "aphaniteja/python-be-your-host-eda", "kernel_id": "520690"}, {"ref": "festa78/simple-xgboost-lb-0-495", "kernel_id": "516894"}, {"ref": "festa78/simple-lightgbm-lb-0-493", "kernel_id": "516994"}, {"ref": "rsakata/16th-place-solution-simple-ver-private-0-509", "kernel_id": "604326"}, {"ref": "ksjpswaroop/parameter-tuning-rf-randomized-search", "kernel_id": "590866"}, {"ref": "ksjpswaroop/parameter-tuning-random-forest-gridsearchcv", "kernel_id": "590005"}, {"ref": "joshuaslocum/btb-day-of-week-median-prediction-3month", "kernel_id": "460246"}, {"ref": "pathi108/notebook1cc4ff1a12", "kernel_id": "576482"}, {"ref": "scirpus/time-series-not-optimized", "kernel_id": "520487"}, {"ref": "scirpus/recruit-genetic-programming", "kernel_id": "514191"}, {"ref": "manvindra/py-data-processing-visuals", "kernel_id": "462514"}, {"ref": "maheshdadhich/my-time-series-experiments", "kernel_id": "461071"}, {"ref": "guoqiangliang/median-by-dow-lb-0-517", "kernel_id": "460754"}, {"ref": "shikhar1/combining-tables-and-data-pre-processing", "kernel_id": "461500"}, {"ref": "yeshwanthv/be-my-guest-recruit-restaurant-eda", "kernel_id": "487889"}, {"ref": "hlhuang/keras-starter", "kernel_id": "497422"}, {"ref": "vanausloos/be-my-guest-recruit-restaurant-eda-e2ff36", "kernel_id": "625890"}, {"ref": "dongxu027/mean-mix-math-geo-harmonic-lb-0-493", "kernel_id": "462549"}, {"ref": "dongxu027/time-series-ets-nn-arima-ses-lb-0-567", "kernel_id": "469081"}, {"ref": "antont/public-submissions-median-top-4", "kernel_id": "596511"}, {"ref": "abhilashawasthi/surprise-me-2-c3454b", "kernel_id": "511829"}, {"ref": "yanchao727/weighted-mean-lb0-495-with-1-x-2-from-hklee", "kernel_id": "487423"}, {"ref": "tejasrinivas/a-tease-for-the-taste-buds-recruit-eda-in-python", "kernel_id": "472795"}, {"ref": "tejasrinivas/surprise-me-4-lb-0-479", "kernel_id": "524817"}, {"ref": "captcalculator/a-very-extensive-recruit-exploratory-analysis", "kernel_id": "467450"}, {"ref": "jdpaletto/surprised-yet-part2-lb-0-503", "kernel_id": "467686"}, {"ref": "apapiu/visualize-the-time-series", "kernel_id": "461989"}, {"ref": "tunguz/surprise-me-2", "kernel_id": "504148"}, {"ref": "anupamtapmi/recruit-exploratory-analysis", "kernel_id": "539850"}, {"ref": "johnfarrell/groupby-mean-median-feature-baselines", "kernel_id": "577960"}, {"ref": "aless80/sarimax-on-mean-visits", "kernel_id": "475469"}, {"ref": "ashwinikmr/notebook1fad7f1c88", "kernel_id": "505155"}, {"ref": "sunhwan/a-quick-and-dirty-submission", "kernel_id": "498512"}, {"ref": "sjoly123/recruit-ensemble-v1", "kernel_id": "511117"}, {"ref": "nitinsurya/surprise-me-2-neural-networks-keras", "kernel_id": "541325"}, {"ref": "kevin91nl/data-exploration-a-first-attempt", "kernel_id": "463066"}, {"ref": "anokas/hashtable-btb-lb-0-520", "kernel_id": "460181"}, {"ref": "petera182/data-prep-coord-distance", "kernel_id": "468579"}, {"ref": "paulorzp/one-line-baseline-lb-0-605", "kernel_id": "460150"}, {"ref": "arnaumerc/recruit-restaurant-some-eda", "kernel_id": "469254"}, {"ref": "amrnasr/a-beginner-s-exploratory-analysis", "kernel_id": "529578"}, {"ref": "jihyeseo/restaurant-visitor-forecast", "kernel_id": "958594"}, {"ref": "akasranjan/recruit-restaurant-prediction-beginners", "kernel_id": "501082"}, {"ref": "pureheart/1st-place-lgb-model-public-0-470-private-0-502", "kernel_id": "602836"}, {"ref": "limjingyu/getting-started-with-the-datasets", "kernel_id": "508466"}, {"ref": "mauryashubham/multiple-models-new-features-from-surprise-me-2", "kernel_id": "519389"}, {"ref": "zusmani/weighted-average-on-four-kernels-lb-0-495", "kernel_id": "469957"}, {"ref": "zusmani/visual-trends-of-recruit-restaurant-visitor", "kernel_id": "463475"}, {"ref": "zusmani/baseline-lb-0-497", "kernel_id": "463134"}, {"ref": "safavieh/median-or-mean-that-is-the-question", "kernel_id": "475911"}, {"ref": "dsrivallabha/stores-with-no-customers", "kernel_id": "482107"}, {"ref": "dsrivallabha/store-wise-performance", "kernel_id": "483270"}, {"ref": "dsrivallabha/an-ensemble-of-models", "kernel_id": "483814"}, {"ref": "bhavesh09/notebook6082e7658b", "kernel_id": "520508"}, {"ref": "zhilangtaosha/unexpected-10th-place-model-single-models-0-508", "kernel_id": "614015"}, {"ref": "ryancaldwell/recruit-lstm-data-prep", "kernel_id": "519554"}, {"ref": "timolee/feeling-hungry-a-beginner-s-guide-to-arima-models", "kernel_id": "466624"}, {"ref": "brianfong192/weighted-medians-now-with-cuisines-lb-0-512", "kernel_id": "597031"}, {"ref": "gvyshnya/easy-model-stacking-with-vecstack", "kernel_id": "477306"}, {"ref": "gvyshnya/framework-for-h2o-based-nn-dl-forecasting-in-r", "kernel_id": "480453"}, {"ref": "gvyshnya/gbm-4-fold-cv-ohe-lb-0-505", "kernel_id": "495232"}, {"ref": "gvyshnya/basic-prophet-ts-forecasting-framework", "kernel_id": "465756"}, {"ref": "gvyshnya/gbm-cv-submission-lb-score-0-511", "kernel_id": "468096"}, {"ref": "alexyung757/recruit-restaurant-visitor-forecasting-mix-model", "kernel_id": "120527"}, {"ref": "gopisaran/sql-data-profiling-feature-imp", "kernel_id": "582222"}, {"ref": "ievgenvp/lstm-encoder-decoder-via-keras-lb-0-5", "kernel_id": "540608"}, {"ref": "dragonheart/visualize-the-time-series", "kernel_id": "542661"}, {"ref": "alijs1/median-baseline", "kernel_id": "460077"}, {"ref": "noklamchan/baseline-3-month-mean-time-series", "kernel_id": "493112"}, {"ref": "jmt7080/basic-data-aggregation-xgb-in-progress", "kernel_id": "520060"}, {"ref": "viczyf/13th-single-model-public-score-471", "kernel_id": "603017"}, {"ref": "nyokinyoki/only-holidays-public-0-493-private-0-514", "kernel_id": "614331"}, {"ref": "jeru666/rrv-modelling-trials", "kernel_id": "481205"}, {"ref": "jeru666/rrv-forecasting", "kernel_id": "461296"}, {"ref": "erkand/a-gentle-intro-to-restaurant-visitor-forecasting", "kernel_id": "474734"}, {"ref": "pranav84/h2o-stacked-ensemble-model-with-timetk-n-tidyquant", "kernel_id": "484249"}, {"ref": "pranav84/surprise-me-h2o-automl-version", "kernel_id": "512295"}, {"ref": "plantsgo/solution-public-0-471-private-0-505", "kernel_id": "603303"}, {"ref": "tequehead/restaurant-visitor-prediction", "kernel_id": "479607"}, {"ref": "zeemeen/weighted-mean-comparisons-lb-0-497-1st", "kernel_id": "462381"}, {"ref": "zeemeen/weighted-mean-running-10-sec-lb-0-509", "kernel_id": "460839"}, {"ref": "ndphuong/firstkernel-add-competitive-feature", "kernel_id": "540589"}, {"ref": "fabiendaniel/recruit-restaurant-eda", "kernel_id": "464907"}, {"ref": "jmbull/no-xgb-starter-here-s-one-lb-507", "kernel_id": "481636"}, {"ref": "jmbull/deep-fried-learning-keras-regression-starter", "kernel_id": "511451"}, {"ref": "chenpu/surprise-me-2-neural-networks", "kernel_id": "548489"}, {"ref": "chenpu/surprise-me-2-neural-networks-keras", "kernel_id": "548012"}, {"ref": "chenpu/cross-validation-on-xgb0", "kernel_id": "557468"}, {"ref": "chenpu/xgboost", "kernel_id": "589494"}, {"ref": "asindico/recruit-restaurant-data-understanding", "kernel_id": "505287"}, {"ref": "asindico/a-japanese-journey", "kernel_id": "464771"}, {"ref": "h4211819/holiday-trick", "kernel_id": "604900"}, {"ref": "ilhamk/a-japanese-journey", "kernel_id": "546949"}, {"ref": "kravdiy/prophet-forecasting", "kernel_id": "544254"}, {"ref": "aharless/cv-model-4-embed-both", "kernel_id": "591870"}, {"ref": "aharless/visualizing-nitin-s-nn", "kernel_id": "576406"}, {"ref": "aharless/nitin-s-surprise-me-with-early-reservations-only", "kernel_id": "567131"}, {"ref": "aharless/surprise-me-h2o-automl-w-o-same-wk-reservations", "kernel_id": "562826"}, {"ref": "aharless/surprise-validation", "kernel_id": "563240"}, {"ref": "aharless/exclude-same-wk-res-from-nitin-s-surpriseme2-w-nn", "kernel_id": "562648"}, {"ref": "kevenfc/short-code-of-date-info-preprocessing", "kernel_id": "475421"}, {"ref": "kevenfc/advance-working-recruit-retaurant", "kernel_id": "472806"}, {"ref": "supermdguy/using-the-weather-data", "kernel_id": "535404"}, {"ref": "supermdguy/initial-data-exploration-in-python", "kernel_id": "497508"}, {"ref": "yekenot/explore-ts-with-lstm", "kernel_id": "472151"}, {"ref": "serigne/top-8-with-geometric-mean", "kernel_id": "597250"}, {"ref": "osciiart/denoising-autoencoder", "kernel_id": "604256"}, {"ref": "arunrajagopalan/recruit-restaurant", "kernel_id": "510995"}, {"ref": "headsortails/be-my-guest-recruit-restaurant-eda", "kernel_id": "460085"}, {"ref": "pliptor/is-ceiling-better-than-floats", "kernel_id": "515580"}, {"ref": "meli19/py-single-light-gbm-lb-0-521", "kernel_id": "465969"}, {"ref": "meli19/ensemble-public-submissions", "kernel_id": "595567"}, {"ref": "meli19/surprise-me-h2o-automl-version-ver5-lb-0-479", "kernel_id": "541910"}, {"ref": "ankost10/business-style-approach", "kernel_id": "535669"}, {"ref": "zxspectrum/ensemble-public-submissions-top-9", "kernel_id": "596930"}, {"ref": "laurenbk/introductory-exploration", "kernel_id": "463626"}, {"ref": "mandarancio/restourant-prediction", "kernel_id": "465413"}, {"ref": "oxanozaep/eda-and-regression-analysis", "kernel_id": "476684"}, {"ref": "tflana/simple-keras-feed-fwd-nn", "kernel_id": "530099"}, {"ref": "navinch/still-exploring", "kernel_id": "462358"}, {"ref": "kazimanil/rv-forecasting-eda", "kernel_id": "492755"}, {"ref": "djhavera/best-algorithm", "kernel_id": "486116"}, {"ref": "djhavera/keras-starter", "kernel_id": "485561"}, {"ref": "reidcathcart/a-beginner-s-exploratory-analysis", "kernel_id": "529227"}, {"ref": "bibinpaul/submission-0-483", "kernel_id": "511730"}, {"ref": "nssubramanya/recruit-restaurant-visit-prediction-eda", "kernel_id": "463659"}, {"ref": "huntermcgushion/weather-station-location-eda", "kernel_id": "486408"}, {"ref": "huntermcgushion/exhaustive-weather-eda-file-overview", "kernel_id": "529625"}, {"ref": "huntermcgushion/bayesian-hyperparameter-optimization-and-xgboost", "kernel_id": "597123"}, {"ref": "vlasoff/freak-separate-modelling-for-timelines", "kernel_id": "503883"}, {"ref": "vlasoff/catboost-forget-about-time-series", "kernel_id": "496916"}, {"ref": "rdtharri/holt-winters-exponential-smoothing-baseline", "kernel_id": "499039"}, {"ref": "liguangchuang/first-use-kernel-ok", "kernel_id": "965396"}, {"ref": "arunkumar413/restaurant", "kernel_id": "462722"}, {"ref": "cadong/weighted-average-on-four-kernels-lb-0-495", "kernel_id": "462440"}, {"ref": "novinsh/surprise-me-2-with-lstm", "kernel_id": "597020"}, {"ref": "derincen/restaurant-visitor-forecast-in-japan-recruit", "kernel_id": "754662"}, {"ref": "thykhuely/recruit-time-series-interactive-eda", "kernel_id": "479073"}, {"ref": "neerjad/combination-of-2-kernels-lb-505", "kernel_id": "461259"}, {"ref": "yixinsunn/simple-ridge-regression-lb-0-497", "kernel_id": "505107"}, {"ref": "nishal7777/datawrangling-eda-for-recruit-data", "kernel_id": "530598"}, {"ref": "natalieh/eda-for-time-series-test-data-golden-week", "kernel_id": "475769"}, {"ref": "anvesh525/iteration3-my-first-kaggle-project-anvesh", "kernel_id": "508128"}, {"ref": "natsuki1996/recruit-each-store", "kernel_id": "482214"}, {"ref": "piumallick/restaurant-wars-japan", "kernel_id": "545743"}, {"ref": "nishitian/hklee-2-for-surprise-me-series-private-0-516", "kernel_id": "603195"}, {"ref": "johannesss/multiple-lightgbm", "kernel_id": "522940"}, {"ref": "johannesss/analyzing-visitors-per-restaurant-genre-and-region", "kernel_id": "474045"}, {"ref": "johannesss/forecasting-using-lstm-from-keras", "kernel_id": "491373"}, {"ref": "johannesss/forecasting-using-light-gbm", "kernel_id": "502587"}, {"ref": "sherring/recruit-restaurant-visitor-forecasting-first-try", "kernel_id": "527736"}, {"ref": "erik404/japan-restaurant-data", "kernel_id": "487934"}, {"ref": "mnoori/newfeature-exp-weighted-rolling-ave-of-visitors", "kernel_id": "584365"}, {"ref": "hashizu/recruit", "kernel_id": "465088"}, {"ref": "jorese/restaurant-visitor-forecasting-notebook", "kernel_id": "491305"}, {"ref": "mnakajima75/recruit-visualization", "kernel_id": "484892"}, {"ref": "karlphillip/data-wrangling", "kernel_id": "728936"}, {"ref": "hugotran/japanese-taste-eda", "kernel_id": "553347"}, {"ref": "lululee/notebookad0164a7ce", "kernel_id": "518558"}, {"ref": "ramakrishna9/parameter-tuning-rf-randomized-search", "kernel_id": "592712"}, {"ref": "ramakrishna9/parameter-tuning-random-forest-gridsearchcv", "kernel_id": "590591"}, {"ref": "srini1417/parameter-tuning-rf-randomized-search", "kernel_id": "593168"}, {"ref": "srini1417/parameter-tuning-random-forest-gridsearchcv", "kernel_id": "590596"}, {"ref": "mahe10/parameter-tuning-random-forest-gridsear-66606b", "kernel_id": "592177"}, {"ref": "peeyushsahu/visitorforecast-nn-rt", "kernel_id": "978627"}, {"ref": "mymy610/forecasting-models-arima-ets", "kernel_id": "855216"}, {"ref": "ymq2126732/forecasting-using-boosting-ways", "kernel_id": "845491"}, {"ref": "gobrando/restaurant-forecasting-ml-means-walk-through", "kernel_id": "1315733"}, {"ref": "jima0720/recruit-eda", "kernel_id": "1644837"}, {"ref": "maezono/recruit-challenge", "kernel_id": "1435038"}, {"ref": "mhyodo/baseline-model-1219", "kernel_id": "2419655"}, {"ref": "blaskowitz100/feature-engineering-based-on-the-suprise-me", "kernel_id": "2272593"}, {"ref": "maestroyi/restaurant-visitor-forecasting-eda-with-r", "kernel_id": "3906869"}, {"ref": "danofer/swap-noise-denoising-autoencoder", "kernel_id": "5076236"}, {"ref": "tentativafc/recruit-restaurant-visitors", "kernel_id": "5512540"}, {"ref": "irinaabdullaeva/welcome-recruit-restaurant-visitor-forecasting", "kernel_id": "5429503"}, {"ref": "kazusci/recruit-restaurant-visitors", "kernel_id": "5518666"}, {"ref": "wakamezake/single-lightgbmtuner", "kernel_id": "6790235"}, {"ref": "manohar676/h2o-auto-ml-version", "kernel_id": "6004088"}, {"ref": "mimorisoki/first-charenge", "kernel_id": "6397182"}, {"ref": "sammusch/kernel4ddef32243", "kernel_id": "7257003"}, {"ref": "imoisharma/be-my-guest-recruit-restaurant-eda-5ee330", "kernel_id": "7710714"}, {"ref": "simonstochholm/recruit-restaurant-visitor-forecasting", "kernel_id": "9205631"}, {"ref": "boikodenys/visitor-forecasting-using-only-ts-0-51474", "kernel_id": "9715712"}, {"ref": "otaguroken/random-forest-doing", "kernel_id": "10909324"}, {"ref": "otaguroken/air-visit-data-sarima", "kernel_id": "10646406"}, {"ref": "kenshohirasawa/kernel7df111292c", "kernel_id": "10648953"}, {"ref": "yastel/recruite-compe", "kernel_id": "10388202"}, {"ref": "saanai/copy1st", "kernel_id": "11140139"}, {"ref": "uenokoki/recruit-restaurant-visitor-forecasting", "kernel_id": "13055293"}, {"ref": "akode007/restaurant-s-visitor-forecasting", "kernel_id": "16216323"}, {"ref": "mnthasi/recruit-restaurant-03-ensemble-japanese", "kernel_id": "17712601"}, {"ref": "mnthasi/recruit-restaurant-02-lightgbm-japanese", "kernel_id": "17299509"}, {"ref": "mnthasi/recruit-restaurant-01-pre", "kernel_id": "17001320"}, {"ref": "namankalkhuria/eda101", "kernel_id": "17389544"}, {"ref": "salaheddinebouzdouz/recruit-restaurant-eda", "kernel_id": "18649021"}, {"ref": "ithingv/forecast", "kernel_id": "19131183"}, {"ref": "bestbung/aiffel-9-recruit-restaurant-visitor-forecasting", "kernel_id": "19210743"}, {"ref": "kimjunil/aiffel-yj-9-save-me", "kernel_id": "19210378"}, {"ref": "baekeehan/notebook851f97c77e", "kernel_id": "19130357"}, {"ref": "oglangelo/restaurant-visitor-lstm", "kernel_id": "23624322"}, {"ref": "shebiimalik/catboost-forget-about-time-series", "kernel_id": "25197057"}, {"ref": "yakinoki/recruit-restaurant-visitor-forecasting", "kernel_id": "26977734"}, {"ref": "castle451/weather-recruit-forecast-work-r2", "kernel_id": "29704895"}, {"ref": "imaginer369/fastai-vision-on-time-series", "kernel_id": "33478577"}, {"ref": "nk950357/notebook085dba406a", "kernel_id": "37500556"}, {"ref": "investor55/a-time-series-analysis-of-restaurant-traffic", "kernel_id": "39106226"}, {"ref": "dakshjain97/forecasting-arima-lstm", "kernel_id": "51760314"}, {"ref": "shinkom/20240907-recruiteda-prophet", "kernel_id": "65381470"}, {"ref": "shinkom/20241104-samplemodel-stacking", "kernel_id": "69727733"}, {"ref": "shinkom/20241116-check", "kernel_id": "70834828"}, {"ref": "csmohamedayman/eda-tsa-recruit-restaurant-visitor", "kernel_id": "70675295"}, {"ref": "csmohamedayman/tsf-numc-recruit-restaurant-visitor", "kernel_id": "70895642"}, {"ref": "sdtakahi/notebook8c3950931d", "kernel_id": "70232357"}, {"ref": "annettelianchiu/recruit-restaurant-01-pre", "kernel_id": "72351909"}, {"ref": "aleximb/restaurant-visitor-forecasting-with-xgboost", "kernel_id": "88200786"}, {"ref": "mdnaimislam165436/recruit-restaurant-visitor-forecasting", "kernel_id": "94100498"}, {"ref": "namauu/weather-data-feature", "kernel_id": "100640618"}, {"ref": "akikohiroo/3recruit-restaurant-prediction-weather", "kernel_id": "102862523"}, {"ref": "evgendvorkin/pipeline-preprocessing-catboost", "kernel_id": "107279239"}, {"ref": "mercury35/recruit-restaurant-visitor-forecasting-improved", "kernel_id": "110008970"}, {"ref": "mercury35/recruit-restaurant-visitor-forecasting-present-1", "kernel_id": "110330027"}, {"ref": "mercury2202/recruit-restaurant-present1", "kernel_id": "111609680"}, {"ref": "mercury2202/present-lstm-gru-tabular", "kernel_id": "111654952"}, {"ref": "mercury35/present-2-final", "kernel_id": "111514352"}]}
{"competition_id": "7283", "kernels": []}
{"competition_id": "7288", "kernels": []}
{"competition_id": "7294", "kernels": []}
{"competition_id": "7296", "kernels": []}
{"competition_id": "7299", "kernels": [{"ref": "roymurphy99/nomad-using-neuralnet-with-the-geometry-files", "kernel_id": "573304"}, {"ref": "hireme/two-outputs-regressor-with-lightgbm", "kernel_id": "586475"}, {"ref": "opanichev/ensembling", "kernel_id": "536304"}, {"ref": "opanichev/basic-lightgbm-model", "kernel_id": "537147"}, {"ref": "tonyyy/how-to-get-atomic-coordinates", "kernel_id": "500905"}, {"ref": "tonyyy/find-the-same-geometry", "kernel_id": "531177"}, {"ref": "scirpus/poor-mans-tsne", "kernel_id": "573173"}, {"ref": "scirpus/knn-cross-validation-of-xyz-files-only", "kernel_id": "605159"}, {"ref": "scirpus/last-gp-for-nomad", "kernel_id": "547151"}, {"ref": "scirpus/my-second-r-script-for-gp", "kernel_id": "562554"}, {"ref": "scirpus/ase-testing", "kernel_id": "552495"}, {"ref": "scirpus/teeny-gp", "kernel_id": "501043"}, {"ref": "scirpus/bigger-gp", "kernel_id": "504973"}, {"ref": "maheshdadhich/3d-convnet-with-regression-head-on-unit-cell", "kernel_id": "549526"}, {"ref": "tejasrinivas/xgb-starter-0-0584-on-lb", "kernel_id": "498118"}, {"ref": "fventuri/nomad2018-exploring-lattice-configurations", "kernel_id": "503331"}, {"ref": "janpreets/using-the-atomic-coordinates-for-prediction", "kernel_id": "532117"}, {"ref": "tunguz/simple-catboost", "kernel_id": "504102"}, {"ref": "johnfarrell/nomad2018-simple-lgbm-starter", "kernel_id": "498818"}, {"ref": "etmoseley/xyz-files-for-co-variate-generation", "kernel_id": "588067"}, {"ref": "giginim/tensorflow-neural-network", "kernel_id": "500194"}, {"ref": "jihyeseo/conductor-physics-regress-2-target-conti", "kernel_id": "958597"}, {"ref": "leo1988/exploratory-data-analysis-using-plotly", "kernel_id": "507851"}, {"ref": "mbkinaci/eda-xgboost-ridge-knn-extratrees-regression", "kernel_id": "627808"}, {"ref": "brianfong192/xgboost-benchmark-fork-added-coordinate-features", "kernel_id": "671951"}, {"ref": "kemuel/python-exploration-with-domain-knowledge", "kernel_id": "502631"}, {"ref": "nonserial/nomad-prediction", "kernel_id": "505336"}, {"ref": "sylwiamielnicka/preprocessing-for-physics-newbie", "kernel_id": "594751"}, {"ref": "jeru666/nomadic-xploration-pipeline-2nd-order-features", "kernel_id": "500763"}, {"ref": "srserves85/boosting-stacking-and-baysian-searching", "kernel_id": "593370"}, {"ref": "srserves85/boosting-stacking-and-bayes-searching", "kernel_id": "596081"}, {"ref": "engant/compare-xyz-files-with-filecmp-pathlib-modules", "kernel_id": "637054"}, {"ref": "caicell/outlier-detection-with-parallel-graph", "kernel_id": "525027"}, {"ref": "darrellulm/neural-network-tensor-flow-test-run", "kernel_id": "504427"}, {"ref": "pecooper/xgboost-benchmark-simple-usage-of-geometry-files", "kernel_id": "502162"}, {"ref": "haimfeld87/simple-catboost", "kernel_id": "502895"}, {"ref": "sudhirnl7/simple-electron-volt-predictor", "kernel_id": "499262"}, {"ref": "sudhirnl7/simple-ann", "kernel_id": "519914"}, {"ref": "chinki/beautiful-visualization", "kernel_id": "560424"}, {"ref": "headsortails/resistance-is-futile-transparent-conductors-eda", "kernel_id": "498375"}, {"ref": "kzhoulatte/analysis-on-lattice-angles-with-background", "kernel_id": "499862"}, {"ref": "kzhoulatte/kernel-ridge-regression-lb0-0571-rbf-laplacian", "kernel_id": "505763"}, {"ref": "mightmay/nomad", "kernel_id": "627049"}, {"ref": "deepak2873/transparent-conductor-ensembled-methods", "kernel_id": "562350"}, {"ref": "deepak2873/nomad-transparent-conductor-ensembled-regressor", "kernel_id": "548203"}, {"ref": "deepak2873/nomad-transparent-conductor-ensembled-regressors", "kernel_id": "544846"}, {"ref": "deepak2873/nomad-transparent-conductor-prediction-easy-way", "kernel_id": "544284"}, {"ref": "pranjal05/nomad2018-predicting-transparent-conductors", "kernel_id": "555805"}, {"ref": "holar9/hands-on-cubist-brnn", "kernel_id": "515649"}, {"ref": "playingmyway/nomad-prediction-with-xgboost-with-score-0-0550", "kernel_id": "612702"}, {"ref": "andyandy/nomad-xyz-processing", "kernel_id": "553778"}, {"ref": "maxkapsecker/pca-pattern-discovery", "kernel_id": "516270"}, {"ref": "maxkapsecker/starter-feature-engineering-ensemble", "kernel_id": "537693"}, {"ref": "xozi08/extracting-atomic-bonds-from-coordination-files", "kernel_id": "658409"}, {"ref": "cbartel/random-forest-using-elemental-properties", "kernel_id": "505691"}, {"ref": "tanreinama/simple-apache-mxnet-deeplearning-0-0699lb", "kernel_id": "574289"}, {"ref": "tanreinama/convolution-electronegativity-map-0-0597", "kernel_id": "588761"}, {"ref": "rockwidsallu/simple-dnn-and-linear-regression", "kernel_id": "605507"}, {"ref": "alyuev/al-py-jupiter", "kernel_id": "528382"}, {"ref": "xagor1/nomad-competition-base-models", "kernel_id": "897024"}, {"ref": "yuweiming70/kernel-nomad2018-predicting-transparent-conductors", "kernel_id": "941314"}, {"ref": "bin4673/predicting-transparent-conductors-summary-32bec3", "kernel_id": "1834926"}, {"ref": "mhangaard/atomic-simulation-environment-ase", "kernel_id": "1008922"}, {"ref": "asatoonishi/using-sine-matrix", "kernel_id": "1057511"}, {"ref": "liaobowen/nomad2018-predicting-transparent-conductor", "kernel_id": "2037642"}, {"ref": "burn874/nomad-feature-engineering", "kernel_id": "3455396"}, {"ref": "burn874/nomad-clustering-fe", "kernel_id": "3457087"}, {"ref": "rishabhx64/tensorflow-neural-network", "kernel_id": "9528202"}, {"ref": "shamurair2/kernel442f239c18", "kernel_id": "9922891"}, {"ref": "nkforwork/nomad-2018-public-reconstruction-and-blend", "kernel_id": "127856520"}]}
{"competition_id": "7304", "kernels": []}
{"competition_id": "7305", "kernels": []}
{"competition_id": "7318", "kernels": []}
{"competition_id": "7327", "kernels": [{"ref": "dansbecker/tensorflow-programming", "kernel_id": "519564"}, {"ref": "dansbecker/exercise-intro-to-dl-for-computer-vision", "kernel_id": "499266"}, {"ref": "gaborfodor/dog-breed-pretrained-keras-models-lb-0-3", "kernel_id": "381721"}, {"ref": "suryavanshi/programming-in-tensorflow-and-keras", "kernel_id": "996701"}, {"ref": "raffdoc/use-pretrained-keras-models-lb-0-3", "kernel_id": "443946"}, {"ref": "ruthgonzaga/programming-in-tensorflow-and-keras", "kernel_id": "858741"}, {"ref": "johngull/breed-distribution", "kernel_id": "382709"}, {"ref": "gntoni/using-pytorch-resnet", "kernel_id": "475862"}, {"ref": "harshratde/exercise-convolutions-for-computer-vision", "kernel_id": "848610"}, {"ref": "pvlima/use-pretrained-pytorch-models", "kernel_id": "385404"}, {"ref": "stassl/displaying-inline-images-in-pandas-dataframe", "kernel_id": "429658"}, {"ref": "sheshnath08/exercise-convolutions-for-computer-vision", "kernel_id": "858510"}, {"ref": "ricklentz/exercise-convolutions-for-computer-vision", "kernel_id": "566077"}, {"ref": "ricklentz/programming-in-tensorflow-and-keras", "kernel_id": "566109"}, {"ref": "rishav09/exercise-convolutions-for-computer-vision", "kernel_id": "589781"}, {"ref": "pallavikhedekar/exercise-introduction", "kernel_id": "911645"}, {"ref": "janpreets/exercise-convolutions-for-computer-vision", "kernel_id": "549266"}, {"ref": "anshu1106/keras-vgg19-starter", "kernel_id": "993363"}, {"ref": "cuenta4384/exercise-convolutions-for-computer-vision", "kernel_id": "825829"}, {"ref": "yashubhi/programming-in-tensorflow-and-keras-501f5d", "kernel_id": "557286"}, {"ref": "yashubhi/exercise-convolutions-for-computer-vision", "kernel_id": "552604"}, {"ref": "sudosudoohio/eda-deep-learning-ensemble", "kernel_id": "387676"}, {"ref": "jihyeseo/dog-image-breed-classify", "kernel_id": "958583"}, {"ref": "tapann/exercise-convolutions-for-computer-vision", "kernel_id": "558524"}, {"ref": "yangpeiwen/keras-inception-xception-0-47", "kernel_id": "383385"}, {"ref": "anjaneyaprasad/exercise-convolutions-for-computer-vision", "kernel_id": "696284"}, {"ref": "raghavprabhu/dogs-breed-first-run", "kernel_id": "904188"}, {"ref": "ybonde/dog-classifier-simple-convolution", "kernel_id": "399806"}, {"ref": "robhardwick/xception-inceptionv3-ensemble-methods", "kernel_id": "520630"}, {"ref": "edopic/use-pretrained-keras-models-lb-0-3", "kernel_id": "392845"}, {"ref": "niranjan1995/exercise-convolutions-for-computer-vision", "kernel_id": "926800"}, {"ref": "niranjan1995/programming-in-tensorflow-and-keras", "kernel_id": "926862"}, {"ref": "hanspinckaers/fine-tuning-vgg16-with-drop-out-loss-0-8", "kernel_id": "429907"}, {"ref": "kaggleslayer/upload-an-image-from-a-zip-file-and-resize-it", "kernel_id": "396342"}, {"ref": "kaggleslayer/simple-convolutional-n-network-with-tensorflow", "kernel_id": "436830"}, {"ref": "jeru666/dog-eat-dog-world-eda-useful-scripts", "kernel_id": "439937"}, {"ref": "placidpanda/breed-distribution-plots", "kernel_id": "392460"}, {"ref": "vaibhao/dog-breed-identification-using-cnn-and-tensorflow", "kernel_id": "430855"}, {"ref": "lenamkhanh/deep-learning-e1-convolutions-for-computer-vision", "kernel_id": "729183"}, {"ref": "nothxplz/pytorch-3-densenet-resnet50-inception", "kernel_id": "493655"}, {"ref": "michaelma2014/test-kernel", "kernel_id": "469352"}, {"ref": "ttungl/exercise-convolutions-for-computer-vision", "kernel_id": "548623"}, {"ref": "ttungl/programming-in-tensorflow-and-keras", "kernel_id": "548671"}, {"ref": "tylercosner/easy-dataset-division", "kernel_id": "419219"}, {"ref": "shreyas3108/notebook1a060164d5", "kernel_id": "436049"}, {"ref": "ayanzadeh93/densenet121-169-etc-fine-tuning-dropout-l-0-6", "kernel_id": "581443"}, {"ref": "icecap/dogbreed", "kernel_id": "573661"}, {"ref": "gaussmake1994/resnet50-based-cnn-1-3lb", "kernel_id": "382126"}, {"ref": "sakshambhadauria/exercise-convolutions-for-computer-vision", "kernel_id": "550956"}, {"ref": "akashdeepjassal/keras-vgg-19", "kernel_id": "505132"}, {"ref": "akashdeepjassal/vgg-19", "kernel_id": "379072"}, {"ref": "nithinraok/exercise-convolutions-for-computer-vision", "kernel_id": "885908"}, {"ref": "igorslima/exercise-convolutions-for-computer-vision", "kernel_id": "758231"}, {"ref": "wendong/dog-breed-pretrained-keras-models-lb-0-3", "kernel_id": "518879"}, {"ref": "methindor/dogbreeddatavisualisation", "kernel_id": "522281"}, {"ref": "methindor/keras-starter-kernel", "kernel_id": "523826"}, {"ref": "dishingoyani/exercise-convolutions-for-computer-vision-ac987f", "kernel_id": "572540"}, {"ref": "nafisur/dog-breed-identification-using-inceptionv3-keras", "kernel_id": "912392"}, {"ref": "nafisur/dog-breed-identification-keras-cnn-basic", "kernel_id": "902677"}, {"ref": "baohuy/data-augmentation-pre-trained-xception-0-4", "kernel_id": "397632"}, {"ref": "debdyut/visualizing-training-dataset", "kernel_id": "578861"}, {"ref": "kevinbird15/breaking-data-into-train-and-valid", "kernel_id": "430552"}, {"ref": "rkasincdrk/convnet-tflearn-first-look", "kernel_id": "441059"}, {"ref": "sunnynevarekar/keras-image-augmentation", "kernel_id": "684717"}, {"ref": "carmnejsu/cnn-for-woof", "kernel_id": "559150"}, {"ref": "johnmisquita/fork-of-dog-predictor", "kernel_id": "453087"}, {"ref": "deanyan/dog-breed", "kernel_id": "728765"}, {"ref": "studentar/exercise-convolutions-for-computer-vision", "kernel_id": "956603"}, {"ref": "paultimothymooney/identify-dog-breed-from-image", "kernel_id": "521144"}, {"ref": "sirpunch/programming-in-tensorflow-and-keras", "kernel_id": "554942"}, {"ref": "sirpunch/exercise-convolutions-for-computer-vision", "kernel_id": "554886"}, {"ref": "rupeshgoud/keras-vgg19-starter", "kernel_id": "667074"}, {"ref": "spiritgunn22/use-pretrained-keras-models-lb-0-3", "kernel_id": "427339"}, {"ref": "krishnamsheth31/exercise-convolutions-for-computer-vision", "kernel_id": "605980"}, {"ref": "nairitbanerjee/programming-in-tensorflow-and-keras", "kernel_id": "996085"}, {"ref": "eyan422/exercise-convolutions-for-computer-vision", "kernel_id": "826886"}, {"ref": "eyan422/programming-in-tensorflow-and-keras", "kernel_id": "827164"}, {"ref": "danxs72/use-pretrained-keras-models-lb-0-3", "kernel_id": "424030"}, {"ref": "jasonduncanwilson/exercise-deep-convolutions-for-computer-vision", "kernel_id": "980830"}, {"ref": "syedfaizalex/dog-breed-identification-using-inceptionv3", "kernel_id": "559507"}, {"ref": "rszengin/rsz-doggies", "kernel_id": "501076"}, {"ref": "agoila/convolutions-for-computer-vision", "kernel_id": "627405"}, {"ref": "agoila/programming-in-tf-and-keras", "kernel_id": "631037"}, {"ref": "karthiknandiraju/exercise-convolutions-for-computer-vision-8e998c", "kernel_id": "573062"}, {"ref": "abhilashtensor/dogclassification", "kernel_id": "978701"}, {"ref": "m9harv/dog-id-work-in-progress", "kernel_id": "659689"}, {"ref": "sahilpatni/dog-finder-and-identifion", "kernel_id": "482686"}, {"ref": "imgurnoor/exercise-convolutions-for-computer-vision", "kernel_id": "996903"}, {"ref": "ranrancao/programming-in-tensorflow-and-keras", "kernel_id": "807050"}, {"ref": "careyai/inceptionv3-full-pretrained-model-instructions", "kernel_id": "708284"}, {"ref": "bkkaggle/dog-breed-identification-exploration", "kernel_id": "538593"}, {"ref": "bkkaggle/xception-inceptionv3-ensemble-methods", "kernel_id": "537397"}, {"ref": "rbasavar/exercise-convolutions-for-computer-vision", "kernel_id": "835932"}, {"ref": "ahmedgabal94/dog-breed-identification", "kernel_id": "827093"}, {"ref": "oliverhe/exercise-convolutions-for-computer-vision", "kernel_id": "566577"}, {"ref": "silentsummer/exercise-convolutions-for-computer-vision", "kernel_id": "573633"}, {"ref": "jatinder8889/exercise-convolutions-for-computer-vision", "kernel_id": "671209"}, {"ref": "saravananffl/exercise-convolutions-for-computer-vision-fde714", "kernel_id": "888610"}, {"ref": "nbuhagiar/exercise-convolutions-for-computer-vision", "kernel_id": "878824"}, {"ref": "thegarrickchu/exercise-convolutions-for-computer-vision", "kernel_id": "834871"}, {"ref": "raviprakash438/exercise-convolutions-for-computer-vision-f2d920", "kernel_id": "984514"}, {"ref": "raviprakash438/programming-in-tensorflow-and-keras", "kernel_id": "984555"}, {"ref": "jeevansethi/exercise-convolutions-for-computer-vision", "kernel_id": "719485"}, {"ref": "nuoyizhu/exercise-convolutions-for-computer-vision", "kernel_id": "689680"}, {"ref": "iarunava/exercise-convolutions-for-computer-vision", "kernel_id": "994868"}, {"ref": "cwestby/exercise-convolutions-for-computer-vision", "kernel_id": "963259"}, {"ref": "naina04/exercise-convolutions-for-computer-vision", "kernel_id": "961365"}, {"ref": "naina04/programming-in-tensorflow-and-keras", "kernel_id": "961458"}, {"ref": "jaybakshi/exercise-convolutions-for-computer-vision", "kernel_id": "772628"}, {"ref": "jasmeetkaur/exercise-convolutions-for-computer-vision", "kernel_id": "854041"}, {"ref": "shijianliang/xception", "kernel_id": "990666"}, {"ref": "shijianliang/vgg19", "kernel_id": "990428"}, {"ref": "marcelogiron/exercise-convolutions-for-computer-vision-marcelo", "kernel_id": "842286"}, {"ref": "funkyfrankie/transfer-learning", "kernel_id": "937159"}, {"ref": "macespinoza/exercise-convolutions-for-computer-vision-spanish", "kernel_id": "965747"}, {"ref": "macespinoza/programming-in-tensorflow-and-keras-spanish", "kernel_id": "967199"}, {"ref": "nikhilikhar/pytorch-learning-transfer-with-resnet151", "kernel_id": "1587634"}, {"ref": "gururahulpradhan/fastai-lesson-1", "kernel_id": "1465780"}, {"ref": "sreesindhusruthi/exercise-convolutions-for-computer-vision-30abda", "kernel_id": "1557811"}, {"ref": "thayumaanavan/exercise-convolutions-for-computer-vision", "kernel_id": "1266606"}, {"ref": "stefanbuenten/dog-breed-test-with-fastai", "kernel_id": "1467619"}, {"ref": "tejasreddy/deep-learning-tut-1-solution", "kernel_id": "1197287"}, {"ref": "hncuong/fast-ai-lesson-1-dog-breeds", "kernel_id": "1924791"}, {"ref": "o0helloworld0o/dog-breed-identification-pytorch-dataset-example", "kernel_id": "1891158"}, {"ref": "tomras/dog-breed-identification-using-keras", "kernel_id": "1887107"}, {"ref": "nahimsouza/dl-exercise-convolutions-for-computer-vision", "kernel_id": "1407933"}, {"ref": "sairayapureddy/exercise-convolutions-for-computer-vision", "kernel_id": "1004981"}, {"ref": "igorslima/vgg16v2", "kernel_id": "1206995"}, {"ref": "igorslima/resnet", "kernel_id": "1617469"}, {"ref": "igorslima/keras-vgg19-starter", "kernel_id": "1604131"}, {"ref": "igorslima/inception", "kernel_id": "1946471"}, {"ref": "igorslima/inceptionv3", "kernel_id": "1900610"}, {"ref": "ostaski/exercise-convolutions-for-computer-vision", "kernel_id": "1328911"}, {"ref": "ostaski/programming-in-tensorflow-and-keras", "kernel_id": "1339184"}, {"ref": "polhek/exercise-convolutions-for-computer-vision", "kernel_id": "1129847"}, {"ref": "polhek/programming-in-tensorflow-and-keras", "kernel_id": "1131262"}, {"ref": "cccadet/exercise-convolutions-for-computer-vision", "kernel_id": "1233245"}, {"ref": "tnkumar/tensorflow-and-keras", "kernel_id": "1514699"}, {"ref": "dmayboroda/exercise-convolutions-for-computer-vision", "kernel_id": "1907932"}, {"ref": "dmayboroda/programming-in-tensorflow-and-keras", "kernel_id": "1908118"}, {"ref": "daryalukash/exercise-convolutions-for-computer-vision", "kernel_id": "1495930"}, {"ref": "joydeb28/dog-breed-with-resnet-please-vote", "kernel_id": "1906245"}, {"ref": "leero9/exercise-convolutions-for-computer-vision", "kernel_id": "1369725"}, {"ref": "haddes/exercise-convolutions-for-computer-vision", "kernel_id": "1542222"}, {"ref": "silverprince/exercise-convolutions-for-computer-vision-0ac854", "kernel_id": "1113274"}, {"ref": "silverprince/programming-in-tensorflow-and-keras", "kernel_id": "1113668"}, {"ref": "phoenix1984/exercise-convolutions-for-computer-vision", "kernel_id": "1293255"}, {"ref": "sumanthpolisetty/deep-learning-convolutions", "kernel_id": "1066964"}, {"ref": "tosukriti/exercise-convolutions-for-computer-vision", "kernel_id": "1006786"}, {"ref": "aditya9898/dog-breed-identification-transfer-learning", "kernel_id": "1434917"}, {"ref": "raajtilaksarma/dog-breed-identification-using-fastai-resnet", "kernel_id": "1667142"}, {"ref": "mallela432/programming-in-tensorflow-and-keras", "kernel_id": "1513791"}, {"ref": "mallela432/exercise-convolutions-for-computer-vision", "kernel_id": "1513592"}, {"ref": "jeetranjeet619/exercise-convolutions-for-computer-vision", "kernel_id": "1559433"}, {"ref": "moosecat/fastai-dog-breed-identification", "kernel_id": "1716753"}, {"ref": "omarmorsli/exercise-convolutions-for-computer-vision", "kernel_id": "1008405"}, {"ref": "sarbashis/convolution-neural-network", "kernel_id": "1241836"}, {"ref": "skogge54/exercise-convolutions-for-computer-vision", "kernel_id": "1428904"}, {"ref": "jprusso/intro-to-deep-learning-and-computer-vision", "kernel_id": "1060780"}, {"ref": "ahmedgabal94/dog-breed-identification-deep-learning", "kernel_id": "1462203"}, {"ref": "rickychwong/dogs-nb", "kernel_id": "1770104"}, {"ref": "smartmaz/exercise-convolutions-for-computer-vision", "kernel_id": "1027881"}, {"ref": "kentaasvang/exercise-convolutions-for-computer-vision", "kernel_id": "1051396"}, {"ref": "pavanshanbhag/exercise-convolutions-for-computer-vision-1ced0a", "kernel_id": "1608502"}, {"ref": "apoorvwatsky/exercise-convolutions-for-computer-vision-ef1b53", "kernel_id": "1700259"}, {"ref": "sparsha/exercise-convolutions-for-computer-vision", "kernel_id": "1151033"}, {"ref": "hitagg009/exercise-convolutions-for-computer-vision-6ef442", "kernel_id": "1947772"}, {"ref": "aizijuan/kernelf03d3b5cf5", "kernel_id": "1481377"}, {"ref": "khroushan/exercise-convolutions-for-computer-vision", "kernel_id": "1707060"}, {"ref": "ajayghoshrr/exercise-convolutions-for-computer-vision", "kernel_id": "1007521"}, {"ref": "amneves/pupper-keras-cnn", "kernel_id": "1885129"}, {"ref": "mrshih/exercise-convolutions-for-computer-vision", "kernel_id": "1844767"}, {"ref": "richardhildebrand/exercise-convolutions-for-computer-vision", "kernel_id": "1048918"}, {"ref": "cooldba/keras-vgg19-starter", "kernel_id": "1260192"}, {"ref": "mingming1121/dogs-breed-6-30", "kernel_id": "1229998"}, {"ref": "princeashburton/dog-breeds", "kernel_id": "1460940"}, {"ref": "mariust/dl-1-convolutions-for-computer-vision-by-mt", "kernel_id": "1374597"}, {"ref": "terrierscript/dog-breed-pretrained-keras-models-lb-0-3", "kernel_id": "1052116"}, {"ref": "soumensarker/exercise-convolutions-for-computer-vision", "kernel_id": "1243308"}, {"ref": "dkimds/exercise-convolutions-for-computer-vision", "kernel_id": "1276549"}, {"ref": "benjamingatti/dog-breed-test-with-fastai", "kernel_id": "1766679"}, {"ref": "aravindtls/exercise-convolutions-for-computer-vision", "kernel_id": "1520416"}, {"ref": "slambert1/fastai-dog-breeds", "kernel_id": "1967903"}, {"ref": "kadvani01/pre-trained-convnet-01", "kernel_id": "1204390"}, {"ref": "dskygod/dog-breed-self-exercise", "kernel_id": "1297444"}, {"ref": "jaskarannagi19/tensorflow-and-keras", "kernel_id": "1521588"}, {"ref": "huazaili/keras-vgg19-starter", "kernel_id": "1278329"}, {"ref": "sdelecourt/dog-breed-classification", "kernel_id": "1863516"}, {"ref": "allysonm/exercise-convolutions-for-computer-vision-a1f8de", "kernel_id": "1346124"}, {"ref": "kashyapdas/programming-in-tensorflow-and-keras", "kernel_id": "1358138"}, {"ref": "kashyapdas/exercise-convolutions-for-computer-vision", "kernel_id": "1432453"}, {"ref": "neelkamal692/exercise-convolutions-for-computer-vision-7be56c", "kernel_id": "1470601"}, {"ref": "alokchand0202/exercise-convolutions-for-computer-vision", "kernel_id": "1707342"}, {"ref": "fqpang/fastai-on-dog-breed-identification", "kernel_id": "1361993"}, {"ref": "anihaldaran/exercise-convolutions-for-computer-vision-code", "kernel_id": "1435808"}, {"ref": "hreeya/exercise-convolutions-for-computer-vision", "kernel_id": "1538066"}, {"ref": "golddigger1943/fast-ai-lesson-2-1", "kernel_id": "1777556"}, {"ref": "vijayakakumani/exercise-convolutions-for-computer-vision", "kernel_id": "1528872"}, {"ref": "leeroyhannigan/aicamp-dog-breeds", "kernel_id": "1530240"}, {"ref": "manvalls/exercise-convolutions-for-computer-vision-9b4b51", "kernel_id": "1589026"}, {"ref": "omniscientist99/dog-breed", "kernel_id": "1616647"}, {"ref": "sajjad07/exercise-convolutions-for-computer-vision", "kernel_id": "1588504"}, {"ref": "cherednichenkoa/exercise-convolutions-for-computer-vision-c314be", "kernel_id": "1964757"}, {"ref": "vitoss/exercise-convolutions-for-computer-vision", "kernel_id": "1667908"}, {"ref": "dochad/tutorial", "kernel_id": "1994997"}, {"ref": "prem125/fork-of-programming-in-tensorflow-and-keras-8ccee8", "kernel_id": "1802815"}, {"ref": "prem125/programming-in-tensorflow-and-keras-8ccee8", "kernel_id": "1797080"}, {"ref": "mouinul/kernelf6e55db91c", "kernel_id": "1837614"}, {"ref": "aavella77/tutorial-tensorflow-marta-diego-y-alejandro", "kernel_id": "1938646"}, {"ref": "aavella77/another-trial-with-dog-breeding", "kernel_id": "1947544"}, {"ref": "aavella77/programming-in-tensorflow-and-keras-alejandro", "kernel_id": "1947622"}, {"ref": "bharat77/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "2953182"}, {"ref": "adityashrm21/fast-ai-assignment-dogbreed", "kernel_id": "2490633"}, {"ref": "chdhatri/dog-breed-identification-using-vgg-model", "kernel_id": "2013195"}, {"ref": "chdhatri/dog-breed-identification-us-vgg-svm", "kernel_id": "2003942"}, {"ref": "igauty/exercise-convolutions-for-computer-vision", "kernel_id": "2269754"}, {"ref": "akhilvjose/exercise-convolutions-for-computer-vision", "kernel_id": "2455770"}, {"ref": "jchang4/dog-breeds-mulit-class-classification-with-nn", "kernel_id": "2819096"}, {"ref": "okdidns/exercise-convolutions-for-computer-vision-180848", "kernel_id": "2113105"}, {"ref": "nikhilpandey360/inceptionresnet50-trasnfer-learning", "kernel_id": "2293406"}, {"ref": "nikhilpandey360/transfer-learning-using-xception", "kernel_id": "2291045"}, {"ref": "nikhilpandey360/transfer-learning-on-inception", "kernel_id": "2290059"}, {"ref": "nikhilpandey360/custom-cnn-small", "kernel_id": "2253924"}, {"ref": "nikhilpandey360/submission-using-vgg19", "kernel_id": "2257906"}, {"ref": "nikhilpandey360/prediction-using-xception", "kernel_id": "2261883"}, {"ref": "nikhilpandey360/submission-using-inceptionv3", "kernel_id": "2262061"}, {"ref": "nikhilpandey360/ensemble-prediction", "kernel_id": "2260682"}, {"ref": "nikhilpandey360/breed-eda", "kernel_id": "2244858"}, {"ref": "kamolchanokt/very-deep-learners", "kernel_id": "2102214"}, {"ref": "tonyzheng/dog-breeds-classification-using-cnns", "kernel_id": "2706983"}, {"ref": "shivammittal99/exercise-convolutions-for-computer-vision", "kernel_id": "2183197"}, {"ref": "sleepingbox/exercise-convolutions-for-computer-vision", "kernel_id": "2009811"}, {"ref": "asmaafawzy/exercise-convolutions-for-computer-vision", "kernel_id": "2237629"}, {"ref": "tywangty/exercise-convolutions-for-computer-vision", "kernel_id": "2409518"}, {"ref": "jinudaniel/dog-breed-classification-with-fastai", "kernel_id": "2826104"}, {"ref": "aktaruzzaman/dog-breed-find", "kernel_id": "2086437"}, {"ref": "jhancock1975/exercise-convolutions-for-computer-vision", "kernel_id": "2419936"}, {"ref": "hugorcf/dog-breed-identification-using-fastai", "kernel_id": "2815474"}, {"ref": "kesarianubhav/dog-breed-identification-by-anubhav-kesari", "kernel_id": "2488067"}, {"ref": "apoorvwatsky/exercise-convolutions-for-computer-vision-4c26bc", "kernel_id": "2127272"}, {"ref": "jcesquiveld/transfer-learning-for-dog-breed-classification-i", "kernel_id": "2340203"}, {"ref": "jcesquiveld/transfer-learning-for-dog-breed-classification-ii", "kernel_id": "2385311"}, {"ref": "karthikuppam/dog-breed-basic-cnn", "kernel_id": "2233235"}, {"ref": "skusuru/exercise-convolutions-for-computer-vision", "kernel_id": "2032689"}, {"ref": "roboanil/transfer-learning-with-resnet-ver-02", "kernel_id": "2175944"}, {"ref": "roboanil/dog-breed-identification-by-inceptionv3", "kernel_id": "2186502"}, {"ref": "qduyhoang/exercise-convolutions-for-computer-vision", "kernel_id": "2473472"}, {"ref": "pnsanthosh96/dog-breed-classification", "kernel_id": "2326589"}, {"ref": "wouterlefever/exercise-convolutions-for-computer-vision", "kernel_id": "2170258"}, {"ref": "ushanemani/programming-in-tensorflow-and-keras", "kernel_id": "2041553"}, {"ref": "ankitbasu/exercise-convolutions-for-computer-vision", "kernel_id": "2399718"}, {"ref": "dhiru29/kernel263ca00520", "kernel_id": "2362250"}, {"ref": "po1234263/exercise-convolutions-for-computer-vision", "kernel_id": "2698167"}, {"ref": "aakashg1999/programming-in-tensorflow-and-keras-8fc84c", "kernel_id": "2016264"}, {"ref": "amrhendy/dog-breed-pretrained-keras-model", "kernel_id": "2663748"}, {"ref": "anushabmd/exercise-convolutions-for-computer-vision", "kernel_id": "2384294"}, {"ref": "rishabhchauhan9760/dog-breed-using-resnet50-weights", "kernel_id": "2890877"}, {"ref": "hilltothesouth/exercise-convolutions-for-computer-vision", "kernel_id": "2456229"}, {"ref": "gaddar/programming-in-tensorflow-and-keras", "kernel_id": "2329167"}, {"ref": "gaddar/exercise-convolutions-for-computer-vision", "kernel_id": "2319845"}, {"ref": "gaddar/programming-in-tensorflow-and-keras-1f2930", "kernel_id": "2338948"}, {"ref": "gaddar/programming-in-tensorflow-and-keras-2551c7", "kernel_id": "2335032"}, {"ref": "anorlanes/final-project-dog-breed-identification", "kernel_id": "2362602"}, {"ref": "prabhjyot28/dog-breed-identification", "kernel_id": "2542555"}, {"ref": "ayushsaklani/pandas", "kernel_id": "2910810"}, {"ref": "ayushsaklani/intro-to-deep-learning", "kernel_id": "2898486"}, {"ref": "didimilikina/exercise-convolutions-for-computer-vision-3f672e", "kernel_id": "2001531"}, {"ref": "kasikrit/programming-in-tensorflow-and-keras-fe3484", "kernel_id": "2090061"}, {"ref": "davidashraf/exercise-convolutions-for-computer-vision", "kernel_id": "2469882"}, {"ref": "batsy16/assignments-rishi", "kernel_id": "2226884"}, {"ref": "andresesfm/dog-breeds-deep-learning-with-fast-ai", "kernel_id": "2353829"}, {"ref": "binolgeorge/tensorflow-programming", "kernel_id": "2697850"}, {"ref": "hamidbadriiam/exercise-convolutions-for-computer-vision", "kernel_id": "2685314"}, {"ref": "jtkrumlauf/dog-breed-deep-cnn", "kernel_id": "2926241"}, {"ref": "suprabhat/not-just-ml-who-let-the-dogs-out", "kernel_id": "3035812"}, {"ref": "suprabhat/not-just-ml-who-let-the-dogs-out-xgboost", "kernel_id": "3491140"}, {"ref": "dmatwork/not-just-ml-assg-2-dhanashree", "kernel_id": "3575851"}, {"ref": "harmohit11/kernel2df446daf0", "kernel_id": "3549568"}, {"ref": "ibacaraujo/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3164125"}, {"ref": "chandanpanda2006/not-just-ml-who-let-the-dogs-out", "kernel_id": "3026474"}, {"ref": "surajcnair/who-let-the-dogs-out-data-augmentation", "kernel_id": "3518083"}, {"ref": "induszing/not-just-ml-assignment", "kernel_id": "3508081"}, {"ref": "rumanarnab/kernel63ab6cd0b0", "kernel_id": "3576703"}, {"ref": "habibmrad1983/exercise-intro-to-dl-for-computer-vision", "kernel_id": "3671928"}, {"ref": "karanchhabra99/exercise-intro-to-dl-for-computer-vision", "kernel_id": "3542617"}, {"ref": "anirudhs/who-let-the-dogs-out-assignment", "kernel_id": "3330722"}, {"ref": "ddb1995/exercise-intro-to-dl-for-computer-vision", "kernel_id": "3978615"}, {"ref": "divasatanica/img-augmentation-assignment", "kernel_id": "3476796"}, {"ref": "dynamicarpita/not-just-ml-who-let-the-dogs-out", "kernel_id": "3035751"}, {"ref": "dynamicarpita/dl-assignment", "kernel_id": "3520930"}, {"ref": "tonyzheng/image-classification-dog-breeds-using-cnns", "kernel_id": "3379618"}, {"ref": "adithyakag/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3164088"}, {"ref": "cuberti/fastai-dl1-2019-lesson-6", "kernel_id": "3268417"}, {"ref": "wakamezake/dog-breed-classfication-chainer-tutorial", "kernel_id": "3483037"}, {"ref": "sanikamal/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3288664"}, {"ref": "bhandari10k/image-augmentation", "kernel_id": "3504297"}, {"ref": "saroj13278/exercise-intro-to-dl-for-computer-vision-daily", "kernel_id": "3847029"}, {"ref": "tuhinsaha84/not-just-ml-data-augmentation-quiz-2-v2", "kernel_id": "3511810"}, {"ref": "reese51/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3278500"}, {"ref": "mamtadhaker/exercise-intro-to-dl-for-computer-vision", "kernel_id": "3844437"}, {"ref": "mamtadhaker/tensorflow-programming", "kernel_id": "3844974"}, {"ref": "ankitjaadoo/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3335706"}, {"ref": "ankitjaadoo/tensorflow-programming", "kernel_id": "3335874"}, {"ref": "mohdsheikibrahim/not-just-ml-who-let-the-dogs-out", "kernel_id": "3035744"}, {"ref": "mohdsheikibrahim/dog-problem75", "kernel_id": "3330728"}, {"ref": "mohdsheikibrahim/not-just-ml-who-let-the-dogs-out-logistic", "kernel_id": "3482271"}, {"ref": "laoliulaoliu/kernel-dog-breed-identification", "kernel_id": "3952529"}, {"ref": "dylanpjackson/universal-classifier", "kernel_id": "3059718"}, {"ref": "liuyd2018/120-dogbreeds-fast-ai-v1-0-x", "kernel_id": "3026997"}, {"ref": "kesarianubhav/exzeo", "kernel_id": "3175324"}, {"ref": "dhavaltaunk/dog-breed-cnn", "kernel_id": "3627525"}, {"ref": "mehulgupta2016154/dog-breed-cnn-ml", "kernel_id": "3665634"}, {"ref": "mehulgupta2016154/dog-breed-nn", "kernel_id": "3586137"}, {"ref": "mehulgupta2016154/dog-breed-cnn", "kernel_id": "3481806"}, {"ref": "pradeepkrish/my-image-processing", "kernel_id": "3529757"}, {"ref": "anil777/exercise-intro-to-dl-for-computer-vision", "kernel_id": "3574526"}, {"ref": "anil777/tensorflow-programming", "kernel_id": "3574610"}, {"ref": "anil777/keras-inception-xception-0-47", "kernel_id": "3611010"}, {"ref": "danjsiegel/dog-classification", "kernel_id": "3214373"}, {"ref": "ignotus09/who-let-the-dogs-out-data-augmentation", "kernel_id": "3513906"}, {"ref": "rahul2240/dog-breed-88-using-pytorch", "kernel_id": "3440877"}, {"ref": "rexsun/pytorch-fine-tune", "kernel_id": "3799254"}, {"ref": "tanvi05/exercise-intro-to-dl-for-computer-vision", "kernel_id": "3836291"}, {"ref": "rahulsharma5693/kernel30760a4ac3", "kernel_id": "3462908"}, {"ref": "faezakamran/tensorflow-programming", "kernel_id": "3229644"}, {"ref": "faezakamran/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3229369"}, {"ref": "acredy16/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3278672"}, {"ref": "rkrishnan917/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3278763"}, {"ref": "sukansingh/dog-breed-identification", "kernel_id": "3282990"}, {"ref": "aryankaul31/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3278400"}, {"ref": "heyvivek/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3278677"}, {"ref": "visheshkg/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3278618"}, {"ref": "dpamgautam/exercise-intro-to-dl-for-computer-vision", "kernel_id": "3800771"}, {"ref": "makoukji/exercise-intro-to-deep-learning-and-comput-fe2d86", "kernel_id": "3068006"}, {"ref": "julion/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3033077"}, {"ref": "bstrayer0/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3224971"}, {"ref": "hudume/not-just-ml-quiz-2-q-10-11-final", "kernel_id": "3488938"}, {"ref": "hudume/not-just-ml-assign-3-logistic-with-imbalanced-data", "kernel_id": "3506777"}, {"ref": "liuhuo/dog-breed-pretrained-keras-models-lb-0-3", "kernel_id": "3504578"}, {"ref": "anjaliarora389/kernelf7424c0cc8", "kernel_id": "3522057"}, {"ref": "williamhuang678/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3278673"}, {"ref": "navdeep1994/exercise-intro-to-dl-for-computer-vision", "kernel_id": "3716985"}, {"ref": "learnaiacademy/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "3278730"}, {"ref": "fauzika/asim-fauzi-manh-nguyen-doggy-detection-scooby", "kernel_id": "3510993"}, {"ref": "lucasbruscato/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4498362"}, {"ref": "xiiiii/dog-breed-identification-demo", "kernel_id": "4749291"}, {"ref": "reallygooday/dog-breed-identification-exploration", "kernel_id": "4816658"}, {"ref": "savadogo/kernel298e7c995f", "kernel_id": "4812048"}, {"ref": "mksaad/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4856136"}, {"ref": "maheshak04/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4685811"}, {"ref": "ivanbulgakov/dog-breed-feature-extraction-vgg16-keras", "kernel_id": "4921108"}, {"ref": "tonyzheng/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4306855"}, {"ref": "venkatarathnam/dog-breed-identification", "kernel_id": "4826952"}, {"ref": "gunishj/intro-to-dl-for-computer-vision", "kernel_id": "4743175"}, {"ref": "shubhendumishra/dog-breed-classification-using-vgg16-on-pytorch", "kernel_id": "4848859"}, {"ref": "ronitmankad/let-s-classify-dog-breeds", "kernel_id": "4751117"}, {"ref": "subodanirodrigo/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4172158"}, {"ref": "mohabdiab/dog-breeds", "kernel_id": "4090871"}, {"ref": "christianwallenwein/fastai-baseline-model-dog-breeds", "kernel_id": "4427190"}, {"ref": "ankit275/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4548479"}, {"ref": "kelvindskwok/dog-breed-competition-pytorch-incomplete", "kernel_id": "4811485"}, {"ref": "gipark2001/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4873441"}, {"ref": "elhmadany/dogbreedidentbyresent50", "kernel_id": "4137699"}, {"ref": "hitoidas/kernel9e9858dcb4", "kernel_id": "4828412"}, {"ref": "bmsb235/gan3-faceflower", "kernel_id": "4701268"}, {"ref": "shilparpns/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4522000"}, {"ref": "surananitish/exercise-intro-to-dl-for-computer-vision-daily", "kernel_id": "4533141"}, {"ref": "hughzhangcy/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4163801"}, {"ref": "sameerkhan9/third", "kernel_id": "4720193"}, {"ref": "aaku34/dogbreedclassification", "kernel_id": "4854829"}, {"ref": "wafadje/dog-breed-identification", "kernel_id": "4656837"}, {"ref": "jesucristo/private-lb-simulation-i", "kernel_id": "4862037"}, {"ref": "khalidzaki/dog-breed-id-with-fastai", "kernel_id": "4703484"}, {"ref": "khangtran97/mnist-autoencoder", "kernel_id": "4703710"}, {"ref": "magedtalaat/dog-breed", "kernel_id": "4213673"}, {"ref": "crklausenburg/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4845191"}, {"ref": "sairaj164/dog-breed", "kernel_id": "4195382"}, {"ref": "ahmedjarada/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4858818"}, {"ref": "mohamedalhawi/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4858815"}, {"ref": "gadeer/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4907553"}, {"ref": "haniash/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4858756"}, {"ref": "shamshassan/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4858851"}, {"ref": "emanalajrami/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4858830"}, {"ref": "yosefalmohtaseb/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4858873"}, {"ref": "shathanaami/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4858734"}, {"ref": "nournateel/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4858746"}, {"ref": "wisehan/dog-reocg", "kernel_id": "4799403"}, {"ref": "ahmadmajde/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4858858"}, {"ref": "hongmingzhang/exercise-intro-to-dl-for-computer-vision", "kernel_id": "4809410"}, {"ref": "bharat77/kernelaae5210d6e", "kernel_id": "5796821"}, {"ref": "ilyarudyak/vanilla-fastai", "kernel_id": "5863578"}, {"ref": "thesarfaraz/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5629816"}, {"ref": "anjanatiha/dog-breeds-classifications-using-keras", "kernel_id": "5747858"}, {"ref": "alexanderdbooth/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5734107"}, {"ref": "ahayek84/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5481939"}, {"ref": "cmcmorrow/kaggle-notebook-demo-what-kind-of-dog-is-this", "kernel_id": "5911917"}, {"ref": "uysimty/dog-breed-classification", "kernel_id": "5803195"}, {"ref": "maramsofyan94/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5827763"}, {"ref": "vinaykumarpns/challengespace", "kernel_id": "5247975"}, {"ref": "samarthsarin/classifying-dog-with-resnet18", "kernel_id": "5145442"}, {"ref": "halahassouna/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5562431"}, {"ref": "maysaasalama/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5476642"}, {"ref": "sonali0103/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5709658"}, {"ref": "abhi8901/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5366117"}, {"ref": "yyzz1010/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5367901"}, {"ref": "ayu22shi/kernel44cb335a60", "kernel_id": "5393940"}, {"ref": "leifuer/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5619309"}, {"ref": "yukikitayama/exercise-intro-to-dl-for-computer-vision-daily", "kernel_id": "5626506"}, {"ref": "drcapa/dog-breed-identification-tutorial", "kernel_id": "5224018"}, {"ref": "kefahaied/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5827790"}, {"ref": "kimheesu/dog-breed-identification-keras-vgg19", "kernel_id": "5220133"}, {"ref": "salahuddinemr/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5481972"}, {"ref": "zuhdiabyjayyab/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5827773"}, {"ref": "amamashat/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5481928"}, {"ref": "taherana/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5827787"}, {"ref": "nouradwai/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5827808"}, {"ref": "amnaafifi/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5827761"}, {"ref": "fordreaming1/exercise-intro-to-dl-for-computer-vision", "kernel_id": "5655253"}, {"ref": "lhd0430/dog-breed-identification", "kernel_id": "6215502"}, {"ref": "sandhaya4u/exercise-intro-to-dl-for-computer-vision", "kernel_id": "6240822"}, {"ref": "firzgz/exercise-intro-to-dl-for-computer-vision", "kernel_id": "6240013"}, {"ref": "princearya/dogbreed3", "kernel_id": "6441639"}, {"ref": "ma7555/inceptionresnetv2-83", "kernel_id": "6603549"}, {"ref": "mpwolke/exercise-intro-to-dl-for-computer-vision", "kernel_id": "6435174"}, {"ref": "chahatagarwal96/kernel3b55d297ea", "kernel_id": "6501266"}, {"ref": "proxyy/dog-breed-identification-basic-cnn", "kernel_id": "6455425"}, {"ref": "asetseksenali/kernel7a2d6fdc5d", "kernel_id": "6580386"}, {"ref": "andrifnatius/exercise-intro-to-dl-for-computer-vision", "kernel_id": "6958064"}, {"ref": "eavprog/exercise-intro-to-dl-for-computer-vision", "kernel_id": "6011025"}, {"ref": "greentearus/exercise-intro-to-dl-for-computer-vision", "kernel_id": "6666982"}, {"ref": "arina5566/4labor", "kernel_id": "6994893"}, {"ref": "brodiaga/dog-breed-pretrained-keras-models-lb-0-3", "kernel_id": "6993659"}, {"ref": "brodiaga/vgg16v2", "kernel_id": "6874279"}, {"ref": "hyulun/exercise-intro-to-dl-for-computer-vision", "kernel_id": "6893547"}, {"ref": "zoupet/exercise-intro-to-dl-for-computer-vision", "kernel_id": "7944879"}, {"ref": "pelkoja/dog-breed-identification-with-a-corgi-twist", "kernel_id": "7363411"}, {"ref": "tayyabali55/intro-to-dl-for-computer-vision", "kernel_id": "7727604"}, {"ref": "mrdbourke/tensorflow-2-x-tensorflow-hub-end-to-end-example", "kernel_id": "7951796"}, {"ref": "elikapati/exercise-intro-to-dl-for-computer-vision", "kernel_id": "7090873"}, {"ref": "a24lorie/exercise-intro-to-dl-for-computer-vision", "kernel_id": "7144850"}, {"ref": "alexisbcook/exercise-intro-to-deep-learning-and-computer-vis", "kernel_id": "7349201"}, {"ref": "jaynilgaglani/fci-cnn", "kernel_id": "7958442"}, {"ref": "sedwardes/dsci572-lab4", "kernel_id": "7835617"}, {"ref": "masinga/exercise-intro-to-dl-for-computer-vision", "kernel_id": "7691012"}, {"ref": "boyuai/boyu-d2l-image-classification-imagenet-dogs", "kernel_id": "7246014"}, {"ref": "mathiasgodwin/exercise-intro-to-dl-for-computer-vision", "kernel_id": "7460015"}, {"ref": "utkarshkumar153/exercise-intro-to-dl-for-computer-vision", "kernel_id": "7040136"}, {"ref": "paulspread/exercise-intro-to-dl-for-computer-vision", "kernel_id": "7136166"}, {"ref": "kqinai/exercise-intro-to-dl-for-computer-vision", "kernel_id": "7160676"}, {"ref": "alexispinon/races-de-chiens", "kernel_id": "7730419"}, {"ref": "baranikumar/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8774193"}, {"ref": "wakamezake/tf-keras-dog-breed-identification", "kernel_id": "8747171"}, {"ref": "luojll/resnet-50", "kernel_id": "8915656"}, {"ref": "ramprakasism/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8150501"}, {"ref": "charlieaf/pokemon-vs-canines", "kernel_id": "8298967"}, {"ref": "chandrasejal06/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8543594"}, {"ref": "masfour/90-top-1-accuracy-using-transfer-learning", "kernel_id": "8692256"}, {"ref": "bhanuprakashnani/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8814708"}, {"ref": "meytalbuchatsky/kernel584bd91713", "kernel_id": "8904509"}, {"ref": "naoualsmaili/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8138360"}, {"ref": "tusharsiddhartha/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8973198"}, {"ref": "darshanjain29/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8362216"}, {"ref": "yetao817/ac-gan-using-pytorch-128b", "kernel_id": "8149860"}, {"ref": "phylake1337/0-18-loss-simple-feature-extractors", "kernel_id": "8100228"}, {"ref": "oskarfirlej/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8777749"}, {"ref": "lz1997/so-many-tricks-v1-0-for-dogs-breed", "kernel_id": "8906337"}, {"ref": "bharathms/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8931114"}, {"ref": "hmdprs/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8962969"}, {"ref": "eraviral34/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8942783"}, {"ref": "mejivan/dog-breed-identification", "kernel_id": "8909254"}, {"ref": "anshulnagar/doggo-nibba-nibbi-breed-detection", "kernel_id": "8583214"}, {"ref": "baraksamesh/ass1-dog-breed", "kernel_id": "8991270"}, {"ref": "justinflanagan/exercise-intro-to-dl-for-computer-vision", "kernel_id": "8948485"}, {"ref": "tyadav/exercise-intro-to-dl-for-computer-vision", "kernel_id": "9590135"}, {"ref": "beamers/exercise-intro-to-dl-for-computer-vision", "kernel_id": "9094466"}, {"ref": "luojll/retrain-res50-res150-googlenet-densenet", "kernel_id": "9384620"}, {"ref": "fengqianpang/ac-gan-using-pytorch", "kernel_id": "9128402"}, {"ref": "gijsmeta/dog-breed-cnn", "kernel_id": "9277779"}, {"ref": "sswitte/kernel28fab93d6e", "kernel_id": "9939022"}, {"ref": "hoog0095/dog-breed-cnn", "kernel_id": "9320437"}, {"ref": "mohamedtayser/exercise-intro-to-dl-for-computer-vision", "kernel_id": "9897402"}, {"ref": "kamleshsolanki/dog-breed-classification", "kernel_id": "9879072"}, {"ref": "kamleshsolanki/dog-breed-classification-load-from-dataframe", "kernel_id": "9929159"}, {"ref": "snide713/fine-grained-image-classification-with-pytorch", "kernel_id": "9205313"}, {"ref": "ajayra/dogbreed-prediction-imagenet", "kernel_id": "9954717"}, {"ref": "deviaiml/dog-breed-classification", "kernel_id": "9748358"}, {"ref": "pratikbedre/dog-breed", "kernel_id": "9152789"}, {"ref": "nguyncaoduy/dog-breed-identification-fastai", "kernel_id": "9154533"}, {"ref": "saishreddykomalla/dogs-breed-classifier", "kernel_id": "9022263"}, {"ref": "nibeditadutta/dog-breed-identification-keras-cnn-basic", "kernel_id": "9786373"}, {"ref": "johnkoumentis/dog-breed-classifier-transfer-learning", "kernel_id": "9262232"}, {"ref": "davidmendes/exercise-intro-to-dl-for-computer-vision", "kernel_id": "9490906"}, {"ref": "miscdats/pupper-keras-cnn-review", "kernel_id": "9444078"}, {"ref": "kinnarij/kaggle-solution-intro-to-dl-for-computer-vision", "kernel_id": "9289720"}, {"ref": "taofather/ac-gan-using-pytorch-128b", "kernel_id": "9255474"}, {"ref": "pinakimishrads/exercise-intro-to-dl-for-computer-vision", "kernel_id": "9221198"}, {"ref": "cbackes000/exercise-intro-to-dl-for-computer-vision", "kernel_id": "9576317"}, {"ref": "sandeepkumarkushwaha/exercise-intro-to-dl-for-computer-vision", "kernel_id": "10400233"}, {"ref": "chaitanyamadaka/exercise-intro-to-dl-for-computer-vision", "kernel_id": "10617935"}, {"ref": "thecamilovisk/dog-breed-prediction-with-tensorflow", "kernel_id": "10634395"}, {"ref": "kmldas/dog-breed-classification-beginner-s-tutorial", "kernel_id": "10350568"}, {"ref": "kmldas/beginner-s-guide-image-augmentation-transforms", "kernel_id": "10372321"}, {"ref": "samiran31/dog-breed-identification-using-vgg16", "kernel_id": "10237949"}, {"ref": "egkiastas/resnet50-inference-acceleration-with-fpgas", "kernel_id": "10726095"}, {"ref": "kcdrathan/dog-breed-identification", "kernel_id": "10219484"}, {"ref": "subhavkataria/dog-breed-classification", "kernel_id": "10322717"}, {"ref": "salmaneunus/computer-vision-fundamentals", "kernel_id": "10369019"}, {"ref": "dskagglemt/exercise-intro-to-dl-for-computer-vision", "kernel_id": "10735676"}, {"ref": "sumanchaudhary/dog-breed-classification", "kernel_id": "10283535"}, {"ref": "prishamu/exercise-intro-to-dl-for-computer-vision", "kernel_id": "10527660"}, {"ref": "ahmedalghaliz/dog-breed-identification", "kernel_id": "10911690"}, {"ref": "samehalsharawy/dog-breed-with-resnet50", "kernel_id": "10627155"}, {"ref": "makarbaderko/kernel5e243985bd", "kernel_id": "10134759"}, {"ref": "aycancal/exercise-intro-to-dl-for-computer-vision", "kernel_id": "10851856"}, {"ref": "ratul6/dog-breed-identification-keras-cnn-basic", "kernel_id": "10517295"}, {"ref": "abhishekydav/classification-of-dog-breeds", "kernel_id": "10738294"}, {"ref": "harshitakanal/exercise-intro-to-dl-for-computer-vision", "kernel_id": "10479430"}, {"ref": "uttam8299/exercise-intro-to-dl-for-computer-vision", "kernel_id": "10156726"}, {"ref": "artisikhwal/exercise-intro-to-dl-for-computer-vision", "kernel_id": "10239930"}, {"ref": "engnadersarsour/exercise-intro-to-dl-for-computer-vision", "kernel_id": "10642751"}, {"ref": "julianbenny/dogbreed-keras-cnn", "kernel_id": "10947468"}, {"ref": "anujverma126/dog-breed-classification-beginner-s-tutorial", "kernel_id": "10604460"}, {"ref": "realhumptydumpty/recognize-dogs", "kernel_id": "10968545"}, {"ref": "adarshghimire/exercise-intro-to-dl-for-computer-vision", "kernel_id": "11804881"}, {"ref": "hirune924/the-fastest-data-loading-data-augmentation", "kernel_id": "11458263"}, {"ref": "myuferov/1-version", "kernel_id": "11567677"}, {"ref": "myuferov/notebook30a4f94ab6", "kernel_id": "11592120"}, {"ref": "pratyush1999/exercise-intro-to-dl-for-computer-vision", "kernel_id": "11112984"}, {"ref": "aishwaryab4/exercise-intro-to-dl-for-computer-vision", "kernel_id": "11619030"}, {"ref": "radhakrishnasp/dog-vision", "kernel_id": "11380835"}, {"ref": "pradyut23/dog-breed-identifier", "kernel_id": "11081545"}, {"ref": "hg00001/dog-breed-identification-by-hiten-garg", "kernel_id": "11876710"}, {"ref": "mohamedtayser/dog-breed-classifier-by-tf-using-transfer-learn", "kernel_id": "11202707"}, {"ref": "sulemansalmani/exercise-intro-to-dl-for-computer-vision", "kernel_id": "11689251"}, {"ref": "mkahraman19/intro-to-dl-for-computer-vision", "kernel_id": "11816390"}, {"ref": "indralin/try-dog-breed-using-effnet-tpu", "kernel_id": "11979564"}, {"ref": "khv1999/dog-breed-mobilenet", "kernel_id": "11347731"}, {"ref": "saniyaparveez/dog-breed-identification", "kernel_id": "11106073"}, {"ref": "mbsbdsgpu/dlevalfinal", "kernel_id": "11875255"}, {"ref": "debasisdotcom/dog-breed-classifier", "kernel_id": "11795167"}, {"ref": "aakhlopov/simple-custom-resnet-with-colab", "kernel_id": "11720999"}, {"ref": "harshkumarsingh/fork-of-trial", "kernel_id": "11784512"}, {"ref": "safacanmetin/exercise-intro-to-dl-for-computer-vision", "kernel_id": "11387163"}, {"ref": "albinaalieva/notebook3a60a503c5", "kernel_id": "11609510"}, {"ref": "akritiigupta/notebook8a51dd34e0", "kernel_id": "11725512"}, {"ref": "mirmahathirmohammad/kaggle-dog-breed-identification", "kernel_id": "11053242"}, {"ref": "swetapadmadalai/exercise-intro-to-dl-for-computer-vision", "kernel_id": "11835223"}, {"ref": "maksimbahdanchyk/inceptionv3-transfer-learning", "kernel_id": "11068153"}, {"ref": "teramera/notebook47efa8e180", "kernel_id": "11211335"}, {"ref": "sumitsingh20/dog-vision-mobilenet-v2", "kernel_id": "11446595"}, {"ref": "aniiket/aniketgupta", "kernel_id": "11884697"}, {"ref": "ryanhwang91/dog-breed-bottleneck", "kernel_id": "11146911"}, {"ref": "naman317/dog-breed-identification", "kernel_id": "11108920"}, {"ref": "xingyuzhao1209/use-pretrained-pytorch-models", "kernel_id": "11708576"}, {"ref": "rajat3429/dog-breed-identification-rajat-verma", "kernel_id": "11880624"}, {"ref": "bhanupriya369/dog-breed-thapar", "kernel_id": "11873347"}, {"ref": "avaniagarwal/a562be", "kernel_id": "11854625"}, {"ref": "avaniagarwal/avani", "kernel_id": "11865583"}, {"ref": "ishaanaggarwal29/101703243", "kernel_id": "11878709"}, {"ref": "deepakat002/inception-xception-nasnetlarge-inceptionres", "kernel_id": "12350775"}, {"ref": "chomijung/dog-breed-1", "kernel_id": "12562568"}, {"ref": "preatcher/dog-breed-95-accuracy", "kernel_id": "12844894"}, {"ref": "roohisharma/dog-breed-identification", "kernel_id": "12862404"}, {"ref": "madelinecaples/dog-vision-project", "kernel_id": "12426755"}, {"ref": "ayushmanpranav/exercise-intro-to-dl-for-computer-vision", "kernel_id": "12110469"}, {"ref": "skyis3146/kaggle-first-notebook", "kernel_id": "12527075"}, {"ref": "brahmjotkaur/tiet-dogs-breed-identification", "kernel_id": "12301788"}, {"ref": "sumittygi/notebookc81e30f41c", "kernel_id": "12332619"}, {"ref": "nimishapundir/dog-breed-classification", "kernel_id": "12316033"}, {"ref": "kaminimahra/notebook7feb60a699", "kernel_id": "12321265"}, {"ref": "markospter/dog-breed-classification", "kernel_id": "12895804"}, {"ref": "simrandeepkaur/dog-breed-identification", "kernel_id": "12326984"}, {"ref": "dskagglemt/enabling-and-testing-the-gpu", "kernel_id": "13520053"}, {"ref": "horry7/dog-breed", "kernel_id": "13773639"}, {"ref": "kowalskyyy999/notebookc065993b5c", "kernel_id": "13305392"}, {"ref": "chomijung/jeonju-dog-breed-5", "kernel_id": "13594796"}, {"ref": "yerramvarun/keras-fe-kfold-92-accuracy", "kernel_id": "13147832"}, {"ref": "aymanmaboghonim/dog-breed-vision", "kernel_id": "13965434"}, {"ref": "jackttai/dog-breed-classifier-with-pytorch-using-resnet50", "kernel_id": "13832484"}, {"ref": "alexanderkhachikyan/using-pytorch-resnet", "kernel_id": "13929917"}, {"ref": "jignacioespinoza/week-4-transfer-learning", "kernel_id": "13376157"}, {"ref": "semenedel/notebook603ef26760", "kernel_id": "13781773"}, {"ref": "wonhojin/dog-breed-jwh", "kernel_id": "13594808"}, {"ref": "hirune924/train-dog-breed-identification", "kernel_id": "14684740"}, {"ref": "jjiang013/ml-cnn-trial", "kernel_id": "14791431"}, {"ref": "shearmanchua/test-tfrecords", "kernel_id": "14769021"}, {"ref": "shearmanchua/create-tfrecords-for-dog-breed-classification", "kernel_id": "14462942"}, {"ref": "rahulkumarp/dog-breed-classification", "kernel_id": "14685230"}, {"ref": "khanrahim/dog-breed", "kernel_id": "14302861"}, {"ref": "midouazerty/dog-breed-identification-using-keras-92-accuracy", "kernel_id": "14586601"}, {"ref": "nithinkg/dog-breed-identification-nithin", "kernel_id": "14674263"}, {"ref": "rohitjagirdar/dogs-classifier", "kernel_id": "14628566"}, {"ref": "kevinlunax/notebook1ea33f6bf4", "kernel_id": "14807692"}, {"ref": "athosdamiani/dog-breed-identification-with-torch", "kernel_id": "15563997"}, {"ref": "aravindsamala/notebook4745bc3f89", "kernel_id": "15014296"}, {"ref": "sandeepbhogaraju/dog-image-classification-using-transfer-learning", "kernel_id": "15656877"}, {"ref": "poipii/vgg16-from-scratch-pytorch-lightning-wandb", "kernel_id": "15979688"}, {"ref": "smolfire00/dog-yolo", "kernel_id": "15953850"}, {"ref": "arko007/dogbreedclassification", "kernel_id": "15105221"}, {"ref": "gauravgawade951999/dog-breed-pretrained-keras-models-lb-0-3", "kernel_id": "15533901"}, {"ref": "firozk/keras-dog-breed", "kernel_id": "15630102"}, {"ref": "kanhaiyapandey/dog-data", "kernel_id": "15365465"}, {"ref": "subhamsagarpaira/deep-learning-dog-breed-identification", "kernel_id": "15261063"}, {"ref": "jithinanievarghese/dog-breed-identification-keras-nasnetlarge-93-63", "kernel_id": "15767231"}, {"ref": "jithinanievarghese/accuracy-89-71-inceptionv3-keras", "kernel_id": "15556461"}, {"ref": "jithinanievarghese/dog-breed-identification", "kernel_id": "15539934"}, {"ref": "sanskrutighadipatil/dog-breed-classification", "kernel_id": "15255919"}, {"ref": "apurbasarkar/dog-breed-identification-resnet50", "kernel_id": "15541941"}, {"ref": "dhawalsoni/keras", "kernel_id": "15854150"}, {"ref": "kevinlunax/fork-of-notebook1ea33f6bf4", "kernel_id": "15265072"}, {"ref": "antoreepjana/quick-ml-dog-breeds-tfrecords-maker", "kernel_id": "15065188"}, {"ref": "yixiaoliuw/transfer-learning-dog-breed-identification", "kernel_id": "15413887"}, {"ref": "cdacosta/vae-imagenet", "kernel_id": "16506821"}, {"ref": "jugalkishore1232/inception-xception-nasnetlarge-inceptionres", "kernel_id": "16007508"}, {"ref": "che011/pure-cnn", "kernel_id": "16298243"}, {"ref": "preatcher/dog-breed-classifer-using-pretrained-model", "kernel_id": "16894874"}, {"ref": "xevator/dog-breed", "kernel_id": "16671792"}, {"ref": "gorangsolanki/notebook1d0e2e812c", "kernel_id": "16767423"}, {"ref": "somesh88/dog-vision", "kernel_id": "16065180"}, {"ref": "gudivadalikhith/notebook4139212dff", "kernel_id": "16728752"}, {"ref": "saikoushikarvapalli/deep-learning", "kernel_id": "16184666"}, {"ref": "yauhenichachukha/dog-breed-identification-0-224", "kernel_id": "16391791"}, {"ref": "charlesbeniac/notebook9c7c2ddada", "kernel_id": "17631905"}, {"ref": "hongpeiyi/using-multiple-pretrained-cnns-with-fastai", "kernel_id": "17515183"}, {"ref": "hongpeiyi/identify-dog-breed-using-single-resnet-with-fastai", "kernel_id": "17279284"}, {"ref": "deepakkumar123/dog-breedwith-ai-vision", "kernel_id": "17717441"}, {"ref": "amartyabhattacharya/dog-breed-identification-selected-few-using-resnet", "kernel_id": "17656837"}, {"ref": "rushikeshbagal/ai-cnn", "kernel_id": "17250913"}, {"ref": "ranjeetshrivastav/dog-breed-xception-nasnetmobile-inceptionresnetv2", "kernel_id": "17664510"}, {"ref": "chromerai/dog-breed-identification-without-pretrained-models", "kernel_id": "17557695"}, {"ref": "aryaadesh/dog-breed-classification", "kernel_id": "17809243"}, {"ref": "mjain12/classifying-dog-breeds-using-cnn-resnet50v2", "kernel_id": "17853788"}, {"ref": "theyashmishra/dog-breed-classification", "kernel_id": "17786361"}, {"ref": "nishita17/cv-dog-breed-classification", "kernel_id": "17260183"}, {"ref": "mahsaaghaie/exercise-intro-to-dl-for-computer-vision", "kernel_id": "17410425"}, {"ref": "anshalsingh/dog-breed-identification", "kernel_id": "17624710"}, {"ref": "diyadodwad/notebook1e087ee754", "kernel_id": "17167904"}, {"ref": "sachingupta2212/dog-breed-identification", "kernel_id": "17226708"}, {"ref": "sachingupta2212/inception-v3-keras", "kernel_id": "17322342"}, {"ref": "sachingupta2212/notebook0080f57653", "kernel_id": "17305407"}, {"ref": "rachidkarbiche/dogs-breed-identification-transfer-learning", "kernel_id": "17419711"}, {"ref": "rachidkarbiche/dogs-breed-identification-m-thode-2bis-fait-main", "kernel_id": "17515840"}, {"ref": "rachidkarbiche/dogs-breed-identification-m-thode-3", "kernel_id": "17663920"}, {"ref": "marieds/dog-breed-transfer-learning-with-data-augmentation", "kernel_id": "17628517"}, {"ref": "marieds/dog-breed-transfer-learning-final", "kernel_id": "17622607"}, {"ref": "marieds/dog-breed-simple-cnn", "kernel_id": "17513293"}, {"ref": "marieds/dog-breed-pretrained-final", "kernel_id": "17548261"}, {"ref": "csauer19/dog-breed-identification-1-pretrained-model", "kernel_id": "17544489"}, {"ref": "csauer19/dog-breed-identification-2-hand-made", "kernel_id": "17648877"}, {"ref": "csauer19/dog-breed-identification-3-transfer-learning", "kernel_id": "17662892"}, {"ref": "josephinedelobel/brief-dog-breed-pretrained-mobilenetv2", "kernel_id": "17548359"}, {"ref": "josephinedelobel/dog-breed-pretrainedmobilenetv2-only", "kernel_id": "17585641"}, {"ref": "josephinedelobel/brief-dog-breed-identification", "kernel_id": "17516329"}, {"ref": "arthurtelders/dog-breed-identification-from-scratch", "kernel_id": "17514091"}, {"ref": "arthurtelders/dog-breed-classification-with-transfer-learning", "kernel_id": "17621536"}, {"ref": "arthurtelders/dog-breed-classification-with-albumentations", "kernel_id": "17815037"}, {"ref": "julienvansteenkiste/dog-breed-identification-using-inceptionv3", "kernel_id": "17791133"}, {"ref": "hellovivien/dog-breed-nasnet", "kernel_id": "17853799"}, {"ref": "kennych/dog-breed-identification", "kernel_id": "17512016"}, {"ref": "triangelnuo/dog-train-by140", "kernel_id": "17441125"}, {"ref": "sajjadwasti/notebook1cd6898938", "kernel_id": "17965720"}, {"ref": "mehmedbesimdemirhan/dog-breed-identification", "kernel_id": "17402785"}, {"ref": "jphanijayanth/breedsdensenet", "kernel_id": "17401290"}, {"ref": "ashrafb/dog-breed-identification-without-pretrained-models", "kernel_id": "17918915"}, {"ref": "nikhilpandey360/breed-classification-keras", "kernel_id": "18378057"}, {"ref": "nikhilpandey360/transfer-learning-beginners", "kernel_id": "18440510"}, {"ref": "vaasudevans/transfer-learning-using-inception-resnetv2", "kernel_id": "18446472"}, {"ref": "sakshi0100/dog-breed", "kernel_id": "18089636"}, {"ref": "anu332/dog-breed-cnn", "kernel_id": "18349350"}, {"ref": "vickyi/dog-breed-classifier-with-pytorch-using-resnet50", "kernel_id": "18332019"}, {"ref": "utkarshtech/notebook8731cb3613", "kernel_id": "18758960"}, {"ref": "josephinedelobel/brief-dog-breed-data-augmentation-keras", "kernel_id": "18136229"}, {"ref": "shijiejiang/dogidenti", "kernel_id": "18458996"}, {"ref": "rambomind/dog-breed-identification", "kernel_id": "18336364"}, {"ref": "denimthangjam/dog-breed", "kernel_id": "18337019"}, {"ref": "fernandobenavidesv/dogs-breed-identification", "kernel_id": "18583619"}, {"ref": "pratyakshsingh/hopefully-final", "kernel_id": "18748589"}, {"ref": "shayistamulla/dog-breed-identification", "kernel_id": "18920448"}, {"ref": "prathikshabr/dogbreedclassification-cnn-kaggleproject-10", "kernel_id": "18927591"}, {"ref": "isaiahmann/dog-breed-pretrained-keras-models-lb-0-3", "kernel_id": "18284739"}, {"ref": "keerthanamreddy/dog-breed", "kernel_id": "18787238"}, {"ref": "rudrankssarma/dog-breed-id", "kernel_id": "18684619"}, {"ref": "sharomeethan/dog-breed-classifier", "kernel_id": "18813255"}, {"ref": "tejasboss/dog-breed-classification", "kernel_id": "19275108"}, {"ref": "alifashrafee/dog-vs-cat-classification", "kernel_id": "19977150"}, {"ref": "vijaysiyer/dog-breed-identification-with-keras", "kernel_id": "19921094"}, {"ref": "neoksei/breed-prediction-with-densenet", "kernel_id": "19694395"}, {"ref": "rajeshwaris/dog-breed-classification", "kernel_id": "19030813"}, {"ref": "venkataranganathanav/use-pretrained-pytorch-models", "kernel_id": "19735895"}, {"ref": "dipanwita/01-breed-prediction", "kernel_id": "20611738"}, {"ref": "udbhavpangotra/learning-transfer-learning", "kernel_id": "20605663"}, {"ref": "nilaychauhan/convert-dog-breed-classifier-dataset-to-tfrecord", "kernel_id": "20637967"}, {"ref": "jessycamoraes/dog-breed-identification-cnn-transfer-learning", "kernel_id": "20699960"}, {"ref": "ericapple/dogs-breeds-classification", "kernel_id": "20979145"}, {"ref": "logicalbin123/dog-breed-identification", "kernel_id": "20856246"}, {"ref": "logicalbin123/dog-breed-identification-nasnetlarge", "kernel_id": "20856733"}, {"ref": "nikhiln2312/dog-breed", "kernel_id": "20427497"}, {"ref": "icecubical/fitbit-fitness-tracker-analysis", "kernel_id": "20253799"}, {"ref": "meherajhossain/dog-breed-transfer-learning-with-keras", "kernel_id": "20719462"}, {"ref": "meherajhossain/dog-breed-transfer-learning-with-keras-2", "kernel_id": "20875717"}, {"ref": "meherajhossain/dog-breed-transfer-learning-combining-4-backbones", "kernel_id": "20976328"}, {"ref": "meherajhossain/divide-the-dataset-into-sub-directories-by-class", "kernel_id": "20980381"}, {"ref": "khliland/dog-breed-identification", "kernel_id": "21200611"}, {"ref": "masrur007/resnet50-and-cnn-from-scratch-dog-breed-classify", "kernel_id": "21793308"}, {"ref": "mbmlearner/dog-breed-id-final-draft", "kernel_id": "21303688"}, {"ref": "gpiosenka/efficient-netb4-f1-score-on-testset-79", "kernel_id": "21244718"}, {"ref": "dovannhan/dog-breed-detection", "kernel_id": "21017365"}, {"ref": "alexvishnevskiy/breed-identification", "kernel_id": "21842352"}, {"ref": "angyalfold/fastai-imgclass-dog-breeds-step-by-step", "kernel_id": "21339731"}, {"ref": "ajaygundimeda/dogbreedv2cnn", "kernel_id": "21193713"}, {"ref": "jhnyc3/dog-recognition-w-inceptionresnetv2", "kernel_id": "21762120"}, {"ref": "mpetrushanskyi/dog-vision-mobile-net-v2", "kernel_id": "21489027"}, {"ref": "mubtasimahasan/resnet50-and-cnn-from-scratch-dog-breed-classify", "kernel_id": "21847917"}, {"ref": "insanevivek/mini-project", "kernel_id": "21701738"}, {"ref": "milkway/dog-breed-test", "kernel_id": "22703175"}, {"ref": "atrisaxena/using-tensorflow-2-x-to-classify-breeds-of-dogs", "kernel_id": "22451866"}, {"ref": "mbmlearner/dogbreedid", "kernel_id": "22825228"}, {"ref": "araujogabriel/cnn-projeto", "kernel_id": "22822726"}, {"ref": "aimanlameesa/resnet50-and-cnn-from-scratch-dog-breed-classify", "kernel_id": "22194604"}, {"ref": "spandandixit/cs-p2-dog-breed-pretrained-keras-models-lb-0-3", "kernel_id": "22766977"}, {"ref": "nk0348/dog-breed-identification", "kernel_id": "22880177"}, {"ref": "svnsdhananjayreddy/dog-breed-identification", "kernel_id": "22461853"}, {"ref": "vistokartika/comparing-nn-pre-trained-models", "kernel_id": "23735089"}, {"ref": "mgen2020/dog-classify", "kernel_id": "23909969"}, {"ref": "saragadamkiran/notebooka360ce7c3d", "kernel_id": "23737072"}, {"ref": "nilaychauhan/dog-breed-classification-using-jax-and-flax", "kernel_id": "24404028"}, {"ref": "hamedetezadi/cnn-model-dog-breed-identification-ngos", "kernel_id": "24757060"}, {"ref": "tadeletatek/dog-breed-identification-by-tadele", "kernel_id": "24963309"}, {"ref": "neelanjanacharya/dog-breed-identification-system", "kernel_id": "24440640"}, {"ref": "kushal1506/classify-different-dog-breeds", "kernel_id": "24959711"}, {"ref": "saileshpanda/dogbreed-classification", "kernel_id": "24039802"}, {"ref": "iddanhalevy/convolutional-neural-network", "kernel_id": "24263234"}, {"ref": "jayahn0104/resnet34-pretrained-raytune", "kernel_id": "25270707"}, {"ref": "omarlotfy/dog-breed-identification", "kernel_id": "25140069"}, {"ref": "goen01/chapter8-project1-dog-breed", "kernel_id": "25060730"}, {"ref": "leoooo333/finetune-turorial-using-pytorch-and-timm", "kernel_id": "25670832"}, {"ref": "aakashkhati/dog-breed-identification", "kernel_id": "25448375"}, {"ref": "rishinambiar/dog-breed-classification", "kernel_id": "25491717"}, {"ref": "hirune924/create-tfrecords-test", "kernel_id": "26256263"}, {"ref": "hirune924/plain-train-on-tpu", "kernel_id": "26380846"}, {"ref": "madhavbhat/dog-breed-identification", "kernel_id": "26006407"}, {"ref": "thindngngc/notebook78055f86ce", "kernel_id": "26927873"}, {"ref": "sahilchanglani/dog-breed", "kernel_id": "26424607"}, {"ref": "logicalbin123/dogclassificationsubmission", "kernel_id": "26179039"}, {"ref": "sahosrabdidas/soft-project-1", "kernel_id": "26044622"}, {"ref": "mugilana/dog-breed-identification-hybrid", "kernel_id": "26627751"}, {"ref": "mugilana/dog-breed-prediction-xception", "kernel_id": "26613948"}, {"ref": "mugilana/dog-breed-prediction-inception-v3", "kernel_id": "26607403"}, {"ref": "shalinibnair/notebookf9b3bde900", "kernel_id": "26792908"}, {"ref": "aurkom/dog-breed-identification", "kernel_id": "26550081"}, {"ref": "abhinavmaganty/imageclass", "kernel_id": "26188634"}, {"ref": "samyabose/dog-breed-identification-system", "kernel_id": "26658040"}, {"ref": "quctrnnamanh/dog-breed-version1", "kernel_id": "26902471"}, {"ref": "negiakhil2000/akhil2-dog-breed", "kernel_id": "27099331"}, {"ref": "thakurfurqaan/dog-breed-ann-eda", "kernel_id": "27103325"}, {"ref": "thakurfurqaan/dog-breed-ann-training", "kernel_id": "27104187"}, {"ref": "vamsireddi/dog-breed-identification", "kernel_id": "27797106"}, {"ref": "floria1floria/90-top-1-accuracy-using-transfer-learning", "kernel_id": "27673565"}, {"ref": "muralidharbhusal/dogs-breed-classification", "kernel_id": "27163678"}, {"ref": "guanlei/fine-grained-image-classification-with-pytorch", "kernel_id": "27345935"}, {"ref": "withoutlife/botpithay", "kernel_id": "27588217"}, {"ref": "lucashenriquecp/cnn-model-dog-breed-identification-ngos", "kernel_id": "27688796"}, {"ref": "l066858998/dog-breed-0-17-loss-finetune-on-vit", "kernel_id": "28395312"}, {"ref": "praveenkumar2022/notebook3abd263d89", "kernel_id": "28659012"}, {"ref": "sssyk11/dog-breed-identification", "kernel_id": "28131159"}, {"ref": "ltrahul/dog-breed-classification", "kernel_id": "28848401"}, {"ref": "chihanlin/dog-breed-95-accuracy", "kernel_id": "28277427"}, {"ref": "harshavardhan925/dog-breed-detection", "kernel_id": "28751693"}, {"ref": "manikanthgoud/dog-breed-classification-cnn-base", "kernel_id": "29363539"}, {"ref": "karimakmal/dog-breed-pretrained-models", "kernel_id": "29155697"}, {"ref": "kemalfarukbaaran/dogbreed", "kernel_id": "29715437"}, {"ref": "souravsharma3776/dog-breed", "kernel_id": "29555417"}, {"ref": "samayshikhar/dog-breed-identification-2-0", "kernel_id": "29983910"}, {"ref": "b07801034v/exercise-intro-to-dl-for-computer-vision", "kernel_id": "30624406"}, {"ref": "talarisandeep/cnn-model-dog-breed", "kernel_id": "30150830"}, {"ref": "akarthikeyareddy/dog-breed-classification", "kernel_id": "30898959"}, {"ref": "meganmckenzie/exercise-intro-to-dl-for-computer-vision", "kernel_id": "30988185"}, {"ref": "shalaby97/dog-breed-identification-fine-tune-using-pytorch", "kernel_id": "31440292"}, {"ref": "ssarkar445/pytorch-resnet50-kfold-ensemble", "kernel_id": "32383284"}, {"ref": "narayansethi/know-your-dog", "kernel_id": "32624857"}, {"ref": "anupo2o1/dogbreed-classifier", "kernel_id": "32845191"}, {"ref": "sghhimanshu/nb-pretrained-vit-loss-0-09921", "kernel_id": "32426013"}, {"ref": "phoomchanok/dog-breed-identification-keras-cnn-basic", "kernel_id": "32656885"}, {"ref": "yahyaunlu/predicting-dog-breeds-using-tensor-flow-2-x", "kernel_id": "33472350"}, {"ref": "rutanshsuthar/dog-breed-classification", "kernel_id": "33637139"}, {"ref": "shshang/dog-breed-identification", "kernel_id": "33324850"}, {"ref": "xiaoleicolumbia/chapter-14-14-with-real-data", "kernel_id": "34264772"}, {"ref": "vinaysawarkar/dog-breed-predictions", "kernel_id": "34744167"}, {"ref": "anoopkrishan/notebooke625cb7a9a", "kernel_id": "34471375"}, {"ref": "martintoledo/dog-breed-identification-martin", "kernel_id": "34017043"}, {"ref": "martintoledo/notebook92769f644c", "kernel_id": "34015788"}, {"ref": "martintoledo/dog-breed-identification-model", "kernel_id": "34008419"}, {"ref": "abdulrehmandev/dog-breed-identification", "kernel_id": "34938351"}, {"ref": "csmohamedayman/dl-cv-dog-breed-identification", "kernel_id": "35235703"}, {"ref": "vijivijay/dog-breed-stratified-kfold", "kernel_id": "35667583"}, {"ref": "vijivijay/dog-breed-xception", "kernel_id": "35696226"}, {"ref": "kraigyuhengtou/fine-grained-image-classification-with-attention", "kernel_id": "35369171"}, {"ref": "sabahesaraki/dog-breed-identification", "kernel_id": "35602959"}, {"ref": "vipulsingh097/single-layeredcnn", "kernel_id": "35705786"}, {"ref": "erbibekksingh/notebook10e2aee575", "kernel_id": "35264691"}, {"ref": "pratyushraj07/dog-breed-pytorch", "kernel_id": "35853742"}, {"ref": "subramanimahadev/dogbreedclassification", "kernel_id": "35199741"}, {"ref": "ziningxiao/7028-a2", "kernel_id": "35122280"}, {"ref": "xuchengzhi/chapter-14-14-with-real-data-fca117", "kernel_id": "35258825"}, {"ref": "zoeyxzz/xie-zizhen-3036021763", "kernel_id": "35217331"}, {"ref": "akritish/cse455-dog-breed-identifier", "kernel_id": "35863698"}, {"ref": "yzdeng02/aps360mappinglabelwithimages", "kernel_id": "35825815"}, {"ref": "shikharsm/dogbreedclassifixation", "kernel_id": "36792183"}, {"ref": "shikharsm/0-18-loss-simple-feature-extractors", "kernel_id": "36836751"}, {"ref": "ghosssstriderrrr17/dog-classification", "kernel_id": "36685306"}, {"ref": "vachanvy/dog-breed-classification", "kernel_id": "37043115"}, {"ref": "kayleehickman/cse455-dog-breed-identifier", "kernel_id": "37672358"}, {"ref": "luizguzzo/using-tensorflow-2-x-to-classify-breeds-of-dogs", "kernel_id": "38572745"}, {"ref": "antoniocds/dog-breed-identification", "kernel_id": "38572105"}, {"ref": "franciscoboldt/dog-breed", "kernel_id": "38572725"}, {"ref": "maheshpatapalli/dog-breed", "kernel_id": "38630738"}, {"ref": "idealisticintj/dog-breed-classification", "kernel_id": "38115356"}, {"ref": "kevilacezario/kevila-dog-breed", "kernel_id": "38572066"}, {"ref": "diogosantana/dogbreed-3", "kernel_id": "38572230"}, {"ref": "mufidussani/dog-recognition-w-inceptionresnetv2", "kernel_id": "38596629"}, {"ref": "rodrigofardin/dog-breed", "kernel_id": "38573964"}, {"ref": "jonathanribeirosilva/dog-breed", "kernel_id": "38572072"}, {"ref": "frferreiravix/dog-breed", "kernel_id": "38572128"}, {"ref": "aleksanderciesielski/identibreed-dog-breed-identification-ai", "kernel_id": "38274642"}, {"ref": "alaa2mahmoud/dog-breed-featureextraction-polynomialfeatures", "kernel_id": "38505027"}, {"ref": "shivanshsharma15/dog-breed-classification", "kernel_id": "38277938"}, {"ref": "alyssonbaumgarten/notebookbaed4c371b", "kernel_id": "38612426"}, {"ref": "renatobatista/dog-breed-renatob", "kernel_id": "39506175"}, {"ref": "judithchuantichen/dog-breed-identification", "kernel_id": "39935628"}, {"ref": "renatostosp/dog-breed", "kernel_id": "39895673"}, {"ref": "rodrigofardin/dog-breed-identification", "kernel_id": "39808965"}, {"ref": "abdulraheemm/notebook5b11ece1bb", "kernel_id": "39089043"}, {"ref": "lucasbadaro/dog-breed-2", "kernel_id": "39671273"}, {"ref": "ritesh1420/dog-breed-classification", "kernel_id": "39584190"}, {"ref": "brunokobi/rededogs", "kernel_id": "39890418"}, {"ref": "sifankong/dog-breed", "kernel_id": "39443525"}, {"ref": "andreynesterov/dog-breed-identification-vit-cnns-loss-0-12", "kernel_id": "39497701"}, {"ref": "parulekargaurav/dog-breed-identification-cnn-gaurav-parulekar", "kernel_id": "39187444"}, {"ref": "chinpattara/dog-breed-classification-deep-learning", "kernel_id": "39778814"}, {"ref": "vaibhavbakhshi/dog-breed-identification", "kernel_id": "39078514"}, {"ref": "gevorgtsaturyan/dz3-1-2", "kernel_id": "39871047"}, {"ref": "yakinoki/training", "kernel_id": "40656006"}, {"ref": "tpezzin/dogbreedidentification-exercicio", "kernel_id": "40451378"}, {"ref": "matheusinaciomatheus/atv3-dog-breed-identification", "kernel_id": "40400456"}, {"ref": "andrevitoria/dog-breed-2", "kernel_id": "40302010"}, {"ref": "rodrigofardin/dog-breed-identification-v1", "kernel_id": "40177926"}, {"ref": "rodrigofardin/fork-of-dog-breed-identification-c21794", "kernel_id": "40177702"}, {"ref": "denirocheko/dog-breed-identification", "kernel_id": "40286519"}, {"ref": "lucasbadaro/dog-breed-submission", "kernel_id": "40178426"}, {"ref": "julianayuri/dog-breed-identification-inceptionresnetv2-vgg19", "kernel_id": "40220499"}, {"ref": "harshpriye/dogs-breed-classification-cnn", "kernel_id": "40853669"}, {"ref": "ashuprajapati/dog-breed", "kernel_id": "40844772"}, {"ref": "alyssonbaumgarten/dog-breed-identification", "kernel_id": "40102813"}, {"ref": "tbsarcinelli/notebook-submit", "kernel_id": "40447473"}, {"ref": "datdo2711/prj1-dpl302m", "kernel_id": "41580909"}, {"ref": "himanshukumar7079/dog-breed-identification", "kernel_id": "41644322"}, {"ref": "nguyenn95/dog-breed-classification", "kernel_id": "41017349"}, {"ref": "jin0507/dog-breed-identification-97e62f", "kernel_id": "41977014"}, {"ref": "garyzlobinskiy/ryan-cnn-2", "kernel_id": "42607127"}, {"ref": "victormoshahary/dog-breed-classificatiom", "kernel_id": "42498313"}, {"ref": "ca0nie121202/project-1-dlp", "kernel_id": "42066100"}, {"ref": "ngngclm/dog-breed-identification-v1", "kernel_id": "42067250"}, {"ref": "garyzlobinskiy/gina-cnn", "kernel_id": "43307960"}, {"ref": "ferhatersoy/dog-breeds", "kernel_id": "43014463"}, {"ref": "maciejpaneta/pytorch-dog-breed-classification", "kernel_id": "43302941"}, {"ref": "shenhsunliao/tensorflow-image-classification-overfitting", "kernel_id": "43056372"}, {"ref": "shenhsunliao/tf-image-classification-transfer-learning", "kernel_id": "43214977"}, {"ref": "emretemiz/cnn-vol-2-0", "kernel_id": "43175382"}, {"ref": "amalap862001/dog-vision-project-breed-identification", "kernel_id": "43577014"}, {"ref": "feizazharfan/dogyyy", "kernel_id": "43608610"}, {"ref": "garyzlobinskiy/mca-cnns", "kernel_id": "44374249"}, {"ref": "aycone/dog-breed-classifier", "kernel_id": "44752166"}, {"ref": "mostafamohamad/dog-breed-identification", "kernel_id": "44644512"}, {"ref": "whiskeybonbon/dog-classifier", "kernel_id": "44134334"}, {"ref": "jeffreychris3009/notebook14313699f5", "kernel_id": "44512767"}, {"ref": "aaronidiculacheeckal/notebook14313699f5", "kernel_id": "44518015"}, {"ref": "jagadeesh002/image-classification-dog-breeds-using-cnns", "kernel_id": "44683993"}, {"ref": "joncarmona/cnn-data-augmentation-mn-v1-mn-v2-resnet-tl", "kernel_id": "45160876"}, {"ref": "superbigfive/vit-for-dog-breed-identification", "kernel_id": "45139096"}, {"ref": "palash2022mt12133/notebookcb52c9c874", "kernel_id": "45774497"}, {"ref": "divyanshlazer/notebook884d80f025", "kernel_id": "45677675"}, {"ref": "mt12512/using-tensorflow-2-x-to-classify-breeds-of-aa82fc", "kernel_id": "45965989"}, {"ref": "tamsquare/120-dog-breed-classification", "kernel_id": "46819995"}, {"ref": "pasatithchantawut/tensorflow-2-x-tensorflow-hub-end-to-end-example", "kernel_id": "46540809"}, {"ref": "sabriburkayirmak/120-dog-breed-classification", "kernel_id": "46505135"}, {"ref": "huseyincenik/cnn-pre-trained-multi-class-dog-identification", "kernel_id": "46446553"}, {"ref": "lokmanefe/dog-breed-classification-beginner-transferlearning", "kernel_id": "46933271"}, {"ref": "vaktievvel/dog-breed-identification", "kernel_id": "46976835"}, {"ref": "expacto/dog-breed-clasification", "kernel_id": "47250043"}, {"ref": "sahiltemkar/dog-breed", "kernel_id": "47920019"}, {"ref": "rahulkumar99/dog-breed-identification", "kernel_id": "47439142"}, {"ref": "mineakpinar/identify-dogs", "kernel_id": "47368263"}, {"ref": "jingxuansee/dog-breed-classification", "kernel_id": "47484902"}, {"ref": "victoradedigba/oluwatimileyin-victor-adedigba-dog-breed-notebk", "kernel_id": "47943565"}, {"ref": "sergiin/img-dogs-breeds", "kernel_id": "48789599"}, {"ref": "fleqing/dog-breed", "kernel_id": "48208969"}, {"ref": "lakshmikanth26/dog-breed-identification", "kernel_id": "48140509"}, {"ref": "yyjjhh66/convxnet", "kernel_id": "48716399"}, {"ref": "radeaajiprasojo/identifikasi-ras-anjing", "kernel_id": "49184034"}, {"ref": "rabihr/identifikasi-ras-anjing", "kernel_id": "49099178"}, {"ref": "captaindeadpool53/dog-breed-classifier", "kernel_id": "49059905"}, {"ref": "winsxp/dog2024-1-13", "kernel_id": "49096321"}, {"ref": "nguyenbnguyen/dog-breed-classification-tensorflow-keras", "kernel_id": "49935853"}, {"ref": "tigaxmt/dog-breed-with-pytorch", "kernel_id": "50873882"}, {"ref": "rohitpatil30/dog-breed-identification-tutorial", "kernel_id": "50064208"}, {"ref": "abirbeneich/dog-breed-e33956", "kernel_id": "50720220"}, {"ref": "abirbeneich/dog-breed-d6168f", "kernel_id": "50742847"}, {"ref": "soumayatayoub/dog-breed", "kernel_id": "50646195"}, {"ref": "soumayatayoub/notebookab5fc18005", "kernel_id": "50527988"}, {"ref": "achrafzarouki/dog-breed-e33956", "kernel_id": "50739583"}, {"ref": "achrafzarouki/dog-breed-eb7ded", "kernel_id": "50716419"}, {"ref": "achrafzarouki/dog-breed-e33956-4e1511", "kernel_id": "50755009"}, {"ref": "hayitboyev07/dog-breed-prediction", "kernel_id": "50181693"}, {"ref": "soumayatayoubb/dog-breed", "kernel_id": "50738741"}, {"ref": "soumayatayoubb/dog-breed-e33956", "kernel_id": "50740984"}, {"ref": "lidailin05/d2l-13-14-kaggle-dog-breed", "kernel_id": "51975542"}, {"ref": "achrafzarouki/dog-breed-e33956-a1a3ea", "kernel_id": "51079374"}, {"ref": "rahulsingh04/dogbreed", "kernel_id": "52350043"}, {"ref": "wglddwz/wbwdog2", "kernel_id": "52227505"}, {"ref": "mesutssmn/dog-breed-cnn-nasnetlarge", "kernel_id": "52323263"}, {"ref": "aannu13/dog-breed-with-fastai", "kernel_id": "52631340"}, {"ref": "muhammadabdullah545/dog-breed-identification", "kernel_id": "52801183"}, {"ref": "nathanna/gausobj-kaggle-with-gpu", "kernel_id": "52003338"}, {"ref": "gabriel19913/dog-breed-using-variational-autoencoder-vae", "kernel_id": "53034438"}, {"ref": "danieljurk/dj-algoritmy-rozpoznavania-obrazu-psie-plemena", "kernel_id": "53141359"}, {"ref": "fairywang9/dog-breed-classification-mobilenet", "kernel_id": "54699675"}, {"ref": "enriquecompanioni/dog-breed-classification-using-resnet-inceptionv3", "kernel_id": "54650780"}, {"ref": "maicheee/dog-breed", "kernel_id": "54831114"}, {"ref": "malirazaraza/resnet-50-101-dog-breed-classification", "kernel_id": "54108657"}, {"ref": "nagwaahmed/dog-breed-identification", "kernel_id": "55974563"}, {"ref": "enriquecompanioni/dog-breed-classifier-using-multi-sample-dropout", "kernel_id": "55177540"}, {"ref": "sannidhyajain/dog-breed-identification-my-dl-journey", "kernel_id": "55900018"}, {"ref": "guangtengliu/d2l-13-14-kaggle-dog-breed", "kernel_id": "55796135"}, {"ref": "omkarhalpatrao/dog-breed-classification-using-resnet-inceptionv3", "kernel_id": "55546354"}, {"ref": "kristofrussmann/inceptionv3-transfer-learning-with-fine-tuning", "kernel_id": "56144888"}, {"ref": "michtrofimov/dog-breed-resnet-inceptionv3", "kernel_id": "56168518"}, {"ref": "noamanakram/dog-breed-detection-using-inception-v3", "kernel_id": "56424820"}, {"ref": "grazynah/transfer-learning-dog-breed-identification", "kernel_id": "56066349"}, {"ref": "zeyad208907/dog-breed-identification-resnet-50-model", "kernel_id": "57433609"}, {"ref": "linhvprt/dog-recognition-test2", "kernel_id": "58316664"}, {"ref": "maicheee/dog-recognition-original", "kernel_id": "58315822"}, {"ref": "maicheee/dog-recognition-w-inceptionv3", "kernel_id": "58390822"}, {"ref": "nguynthanhnguyentien/dog-recognition-w-inceptionresnetv2", "kernel_id": "58314555"}, {"ref": "xijins/dog-breed1", "kernel_id": "58360581"}, {"ref": "quachduong/dog-recognition-w-inceptionresnetv2-ce2ed9", "kernel_id": "58394329"}, {"ref": "anhhdaoo/exercise-intro-to-dl-for-computer-vision", "kernel_id": "58766544"}, {"ref": "brahimy/identifying-dog-breeds", "kernel_id": "59434229"}, {"ref": "brahimy/dog-breed-identification", "kernel_id": "59392941"}, {"ref": "ekinalaydin/feature-extraction-efficientnetb4-and-resnet50", "kernel_id": "60080808"}, {"ref": "ayinpasternak/d2ldog", "kernel_id": "60789314"}, {"ref": "wangk66/dog-breed-identification-resnext50", "kernel_id": "61450588"}, {"ref": "sandanas/dog-breed", "kernel_id": "61887875"}, {"ref": "keerthanakkumar/dog-breed-identification", "kernel_id": "61703417"}, {"ref": "apppppppppzzzzz/dog-breed", "kernel_id": "61520807"}, {"ref": "shotatakagi0519/notebook6af9fb3676", "kernel_id": "61697385"}, {"ref": "sitevity/image-classifier-to-identify-dogs-breeds", "kernel_id": "62679167"}, {"ref": "kentokodokkoi/notebook123cf500eb", "kernel_id": "62434315"}, {"ref": "kentokodokkoi/notebook9b393b5249", "kernel_id": "62474224"}, {"ref": "wakairetsu/notebookf3e6e91d22", "kernel_id": "62435814"}, {"ref": "kaitokitagawa/notebook93c308bc50", "kernel_id": "62449098"}, {"ref": "arisaonohara/dog-submit", "kernel_id": "62418413"}, {"ref": "kawaguchiseisho/notebookb7d9750a98", "kernel_id": "62802337"}, {"ref": "kyjiban/notebook", "kernel_id": "62010262"}, {"ref": "pinonquo/notebookb65d66a44f", "kernel_id": "62400332"}, {"ref": "shotatakagi0519/date-science-2024-dog-breed-identification", "kernel_id": "62118591"}, {"ref": "ayaneshimamura/notebook49e1b9260d", "kernel_id": "62487466"}, {"ref": "gaga428/notebook54061c3453", "kernel_id": "62434696"}, {"ref": "classikh/custom-cnn-lab-2-nn", "kernel_id": "63584199"}, {"ref": "michelle136186/dog-classification-built-on-transfer-learning", "kernel_id": "64282210"}, {"ref": "rafik11/transfer-learning-inceptionv3", "kernel_id": "64709884"}, {"ref": "hassaneskikri/dog-breed-classification-using-transfer-learning", "kernel_id": "64241792"}, {"ref": "catmanjr/swin-transformer-4-imagenet-dog-breeds", "kernel_id": "64288877"}, {"ref": "shail2604/tensorflow-basic", "kernel_id": "65381071"}, {"ref": "nammmmmm/enabling-and-testing-the-gpu", "kernel_id": "65863161"}, {"ref": "sontrancao/nb-pretrained-vit-loss-0-09921", "kernel_id": "66660690"}, {"ref": "samarmahfooz/dog-breed-classifier", "kernel_id": "66925473"}, {"ref": "zhinengluzhang/dog-classfication-resnet50", "kernel_id": "68889495"}, {"ref": "kawaiiselphine/notebook2dca964ade", "kernel_id": "68816775"}, {"ref": "iamagamy/dogify", "kernel_id": "68008580"}, {"ref": "hirune924/tpu-training", "kernel_id": "69273334"}, {"ref": "hirune924/tpu-training-lightning-fabric-fsdp", "kernel_id": "69302777"}, {"ref": "hirune924/fork-of-tpu-training-lightning-fabric", "kernel_id": "69315080"}, {"ref": "hirune924/fork-of-tpu-training-lightning-fabric-fsdp", "kernel_id": "69315262"}, {"ref": "sundayabraham/dog-breed-classification", "kernel_id": "72902734"}, {"ref": "adillapramudya/identifikasi-dan-clasifikasi-spesies-anjing", "kernel_id": "72304833"}, {"ref": "phandai/dog-breed-resnet18-finetune", "kernel_id": "72546861"}, {"ref": "phandai/dog-breed-resnet-inceptionv3", "kernel_id": "72689042"}, {"ref": "sinyeesim/3-dog-breed-image-classification-draft", "kernel_id": "72101340"}, {"ref": "sandratejerizo/dog-breed-pretrained-keras-models-lb-0-3", "kernel_id": "72336793"}, {"ref": "mahakhan44/breed-identification", "kernel_id": "73607197"}, {"ref": "vectorbatesta/dog-breeds", "kernel_id": "73202491"}, {"ref": "bukolaolatunji/end-to-end-multi-class-dogbreed-classification", "kernel_id": "75997287"}, {"ref": "jinghuaflora/chapter-14-14-with-real-data", "kernel_id": "77380750"}, {"ref": "arsenyskribchenko/notebook-cv", "kernel_id": "78694945"}, {"ref": "lazeecheeze/assignment-3-dat", "kernel_id": "78493333"}, {"ref": "he186309trungkin/ai1804-assignment-3-dat301m", "kernel_id": "78734126"}, {"ref": "cuctree/dogs-breed-classification-cnn", "kernel_id": "79983761"}, {"ref": "qingyunliuuuuu/work1", "kernel_id": "80426837"}, {"ref": "tejasrinagasai/dog-breed-identification", "kernel_id": "82674439"}, {"ref": "chuayongping/dog-bread-cnn", "kernel_id": "82501499"}, {"ref": "soobinjung/notebook3d478ddfbe", "kernel_id": "83787973"}, {"ref": "brianvilnrotter/dog-vision", "kernel_id": "85931587"}, {"ref": "kushalagrawal11/eda-housing-price-dataset", "kernel_id": "85811990"}, {"ref": "taxocat/cnn-model", "kernel_id": "86463726"}, {"ref": "nghianguyentuan/dog-zeroshot", "kernel_id": "86087309"}, {"ref": "obliviousq/dog-breed-classification", "kernel_id": "86547274"}, {"ref": "datascientist97/computer-vision1", "kernel_id": "87069085"}, {"ref": "alyalokhmatova/notebook-cv-1-6", "kernel_id": "87277412"}, {"ref": "piyuskumar/dog-vision", "kernel_id": "88064448"}, {"ref": "ajpapakiller/cnn-model", "kernel_id": "88785445"}, {"ref": "fahimshahariar1/dog-breed-identification", "kernel_id": "91970575"}, {"ref": "abdallahabdallahatef/multiclass-image-classification", "kernel_id": "92770188"}, {"ref": "tashrif07/multiclass-image-classification", "kernel_id": "94629468"}, {"ref": "abhishekgautam711/dog-breed-identifier-92-accuracy", "kernel_id": "97560490"}, {"ref": "maianhtruongg/truongmahe182474-ass3", "kernel_id": "97766849"}, {"ref": "jackouhai/my-lab", "kernel_id": "97271968"}, {"ref": "tranminhkhuongk18hl/dat301m-khuongtmhe180089-asm3", "kernel_id": "97551668"}, {"ref": "trantuananhk18hl/dog-breed", "kernel_id": "97556242"}, {"ref": "alexandrughiurutan/multigpudogbreeds", "kernel_id": "113618099"}, {"ref": "zynptkn06/multi-class-dog-breed-classification", "kernel_id": "116105817"}, {"ref": "songjunhan/mlexpc1", "kernel_id": "116759263"}, {"ref": "gwenne/dog-breed-identification-gwenne", "kernel_id": "121949085"}, {"ref": "gauravnair2000/efficientnet5b-transferlearning", "kernel_id": "122828904"}, {"ref": "gauravnair2000/efficientnet3b-transferlearning-multigpu", "kernel_id": "122830954"}, {"ref": "gauravnair2000/efficientnet7b-transferlearning", "kernel_id": "122863489"}, {"ref": "varunvb27/dlda-experiment-10-dog-breed-classification", "kernel_id": "127384849"}, {"ref": "elisenai/dog-vision-kaggle-notebook", "kernel_id": "130287694"}, {"ref": "vakavivek/vakavivek-reddy23bps1015", "kernel_id": "132692489"}, {"ref": "sumityadav040708/dog-23bps1030", "kernel_id": "132673840"}, {"ref": "prajjwalsaggar/dog-23bps1057", "kernel_id": "132647298"}, {"ref": "ryalilakshman/23bps1026-dl-dog-as", "kernel_id": "132648891"}, {"ref": "rethanr23bai1290/23bai1290-dog-breed-classifier", "kernel_id": "132648671"}, {"ref": "az05192000gmailcom/dog-breed-identifier-lb-0-117-val-acc-97-36", "kernel_id": "133208888"}]}
{"competition_id": "7328", "kernels": []}
{"competition_id": "7339", "kernels": []}
{"competition_id": "7340", "kernels": []}
{"competition_id": "7362", "kernels": []}
{"competition_id": "7363", "kernels": []}
{"competition_id": "7372", "kernels": []}
{"competition_id": "7378", "kernels": []}
{"competition_id": "7380", "kernels": [{"ref": "alekseynp/on-careful-validation-in-your-keras-kernels", "kernel_id": "491545"}, {"ref": "mpekalski/normalize-singal-per-inc-angle", "kernel_id": "525752"}, {"ref": "mpekalski/fft-per-band-for-normal-normalized-signal", "kernel_id": "525772"}, {"ref": "gaborfodor/fix-cv-folds-based-on-inc-angle", "kernel_id": "568218"}, {"ref": "n3n77i/statoil-jlv1-80", "kernel_id": "443088"}, {"ref": "n3n77i/statoil-jlv0", "kernel_id": "438872"}, {"ref": "weizhezhang/a-gluon-starter", "kernel_id": "409727"}, {"ref": "preeth/bike-share-analysis", "kernel_id": "447705"}, {"ref": "kmader/exploring-the-icebergs-with-skimage-and-keras", "kernel_id": "404932"}, {"ref": "sinkie/keras-data-augmentation-with-multiple-inputs", "kernel_id": "406564"}, {"ref": "danofer/keras-straightforward-fork", "kernel_id": "405775"}, {"ref": "matteocasadei/icebergs-a-stacking-based-approach", "kernel_id": "527265"}, {"ref": "yuhaichina/single-model-vgg16-mobilenet-lb-0-1568-with-tf", "kernel_id": "480766"}, {"ref": "loveall/will-it-sink", "kernel_id": "405467"}, {"ref": "loveall/plotting-icebergs-and-boats", "kernel_id": "404893"}, {"ref": "loveall/keras-model-for-beginners-0-210-on-lb-eda-r-d", "kernel_id": "424779"}, {"ref": "loveall/domain-knowledge", "kernel_id": "412676"}, {"ref": "loveall/keras-with-data-augmentation-lb-0-1826", "kernel_id": "411564"}, {"ref": "loveall/keras-with-data-augmentation-6678d5", "kernel_id": "410279"}, {"ref": "loveall/pytorch-gpu-cnn-bceloss-predictions-gokagglers", "kernel_id": "431980"}, {"ref": "loveall/mr-freeze-s-ocean-gk", "kernel_id": "431683"}, {"ref": "loveall/mr-freeze-s-ocean-7498fd", "kernel_id": "432609"}, {"ref": "dimitrif/y-augmentation-coordonate-with-tsne", "kernel_id": "439952"}, {"ref": "dimitrif/y-augmentation-object-sizes", "kernel_id": "423891"}, {"ref": "dimitrif/other-sentinel-data", "kernel_id": "415766"}, {"ref": "dimitrif/feature-engineering-wavelet-transformation", "kernel_id": "416302"}, {"ref": "dimitrif/domain-knowledge", "kernel_id": "410556"}, {"ref": "dimitrif/keras-with-data-augmentation-lb-0-1826", "kernel_id": "409333"}, {"ref": "yuqingxue/a-keras-prototype-0-21174-on-pl", "kernel_id": "436890"}, {"ref": "skhemka/keras-modified-0-29-on-pl", "kernel_id": "406270"}, {"ref": "hireme/two-inputs-neural-network-using-keras", "kernel_id": "529963"}, {"ref": "ramgct20/attemp5", "kernel_id": "548926"}, {"ref": "mihaskalic/will-it-sink", "kernel_id": "404906"}, {"ref": "mihaskalic/keras-straightforward", "kernel_id": "404935"}, {"ref": "knowledgegrappler/a-keras-prototype-0-21174-on-pl", "kernel_id": "405532"}, {"ref": "inoryy/api-for-keras-models-pre-trained-angles", "kernel_id": "523942"}, {"ref": "cttsai/ensembling-gbms-lb-203", "kernel_id": "407636"}, {"ref": "cttsai/feature-extraction-by-resnet-keras", "kernel_id": "408003"}, {"ref": "henokanh/cnn-batchnormalization-0-1646", "kernel_id": "486354"}, {"ref": "henrywolf/simple-convnet-in-keras", "kernel_id": "497589"}, {"ref": "n0rdic/pytorch-deepnet-definition", "kernel_id": "530020"}, {"ref": "fabsta/getvgganglemodel-mobilenet-lb-0-1626", "kernel_id": "482524"}, {"ref": "jirivrany/my-best-single-model-simple-cnn-lb-0-1541", "kernel_id": "543630"}, {"ref": "thariqkhalid/simple-eda-image-formation-with-numpy", "kernel_id": "488563"}, {"ref": "tomwarrens/first-model-in-tensorflow", "kernel_id": "415015"}, {"ref": "nanigans/pytorch-starter", "kernel_id": "405297"}, {"ref": "chechir/danger-with-different-weights-and-clip", "kernel_id": "549940"}, {"ref": "chechir/explore-stacking-another-hi-lo-and-clip-probs", "kernel_id": "504080"}, {"ref": "ezietsman/simple-keras-convnet", "kernel_id": "417591"}, {"ref": "dongxu027/explore-stacking-lb-0-1463", "kernel_id": "456536"}, {"ref": "azakhtyamov/simple-logreg-with-only-3-leaky-features", "kernel_id": "564445"}, {"ref": "yanchao727/pretrained-inception-v4-0-2-pl", "kernel_id": "460542"}, {"ref": "surajdeshmukh/keras-batchnorm-0-19", "kernel_id": "446414"}, {"ref": "cbryant/keras-cnn-statoil-iceberg-lb-0-1995-now-0-1516", "kernel_id": "450863"}, {"ref": "cbryant/keras-cnn-with-pseudolabeling-0-1514-lb", "kernel_id": "519806"}, {"ref": "brassmonkey381/viewing-leak-and-machine-images", "kernel_id": "405330"}, {"ref": "brassmonkey381/exploring-leaky-incidence-angle", "kernel_id": "405254"}, {"ref": "wvadim/keras-tf-lb-0-18", "kernel_id": "442846"}, {"ref": "rbhambri/trial1", "kernel_id": "428406"}, {"ref": "rbhambri/keras-model-for-beginners-0-210-on-lb-eda-r-d", "kernel_id": "487942"}, {"ref": "rbhambri/run3-with-df-pickled", "kernel_id": "497773"}, {"ref": "danieleewww/submarineering-scoring-cracking-log-loss", "kernel_id": "534478"}, {"ref": "danieleewww/submarineering-best-public-score-until-now", "kernel_id": "515006"}, {"ref": "danieleewww/keras-tf-lb", "kernel_id": "443116"}, {"ref": "danieleewww/statoil-csv-pytorch-densenet-ensemble-lb-0-1610", "kernel_id": "446560"}, {"ref": "sjoly123/ensembling-gbms-lb-203", "kernel_id": "431583"}, {"ref": "sudosudoohio/use-pretrained-model-in-keras-with-statoil-dataset", "kernel_id": "434939"}, {"ref": "sudosudoohio/xgb-transfer-learning-lb-0-3040", "kernel_id": "440273"}, {"ref": "devm2024/keras-model-for-beginners-0-210-on-lb-eda-r-d", "kernel_id": "423371"}, {"ref": "devm2024/transfer-learning-with-vgg-16-cnn-aug-lb-0-1712", "kernel_id": "431763"}, {"ref": "jihyeseo/image-iceberg-classify", "kernel_id": "958595"}, {"ref": "keremt/getting-color-composites", "kernel_id": "419390"}, {"ref": "vincento/keras-starter-4l-0-1694-lb-icebergchallenge", "kernel_id": "462158"}, {"ref": "strali/keras-resnet-with-image-augmentation", "kernel_id": "428350"}, {"ref": "ejackf/simple-example", "kernel_id": "435977"}, {"ref": "treina/keras-resnet-with-image-augmentation", "kernel_id": "493194"}, {"ref": "itratrahman/convolutional-neural-net-tutorial-tensorflow", "kernel_id": "400812"}, {"ref": "timolee/fastai-kaggle-starter-kit-lb-0-33", "kernel_id": "434101"}, {"ref": "aevinq/cnn-batchnormalization-0-1646", "kernel_id": "490030"}, {"ref": "zeeshan1994/convolutional-autoencoders", "kernel_id": "575811"}, {"ref": "phul65/notebook1", "kernel_id": "514201"}, {"ref": "solomonk/pytorch-gpu-cnn-bceloss-with-predictions", "kernel_id": "413831"}, {"ref": "solomonk/pytorch-gpu-based-cnn-bceloss-with-predictions", "kernel_id": "413127"}, {"ref": "solomonk/pytorch-densenet-angle-rgb-dataloader", "kernel_id": "413103"}, {"ref": "solomonk/pytorch-modular-and-clean-cnn", "kernel_id": "418300"}, {"ref": "solomonk/statoil-csv-pytorch-senet-ensemble-lb-0-1520", "kernel_id": "443698"}, {"ref": "solomonk/basic-frequency-domain-fft-top-psd-32-peaks", "kernel_id": "434625"}, {"ref": "tienanh2007/mu-fem-tienanhnguyen", "kernel_id": "472408"}, {"ref": "farazramtin/support-vector-machine-for-beginners-roc-auc-92", "kernel_id": "557530"}, {"ref": "aloisiodn/weighted-lstm-nb-svm-cnn-blend-lb-0-044", "kernel_id": "511624"}, {"ref": "fvzaur/iceberg-ship-classification-with-cnn-on-keras", "kernel_id": "453818"}, {"ref": "varunkashyapks/basic-keras-model-and-visualization", "kernel_id": "553579"}, {"ref": "mpware/features-engineering-lightgbm", "kernel_id": "550705"}, {"ref": "jasonbenner/shallownet-with-features", "kernel_id": "435234"}, {"ref": "jasonbenner/basic-resnet50-with-composites-0-2502lb", "kernel_id": "422858"}, {"ref": "jasonbenner/lets-try-capsulenet", "kernel_id": "428968"}, {"ref": "camnugent/convolutional-neural-net-basic-tensorflow", "kernel_id": "436471"}, {"ref": "camnugent/expanded-training-set-keras-imagedatagenerator", "kernel_id": "406712"}, {"ref": "glebmihaescu/logistic-regression-0-44lb", "kernel_id": "407763"}, {"ref": "supersp1234/tools-for-pytorch-transform", "kernel_id": "419541"}, {"ref": "supersp1234/best-single-model-lb-0-1400", "kernel_id": "534606"}, {"ref": "kjeanclaude/end-to-end-iceberg-classificationlightgbm-lb0-342", "kernel_id": "559143"}, {"ref": "darrellulm/keras-test-run", "kernel_id": "432793"}, {"ref": "tomcwalker/2-pass-convnet-with-sensor-fusion-data-lb0-177", "kernel_id": "553874"}, {"ref": "a45632/keras-starter-4l-added-performance-graph", "kernel_id": "468421"}, {"ref": "volody/logistic-regression", "kernel_id": "500109"}, {"ref": "pkolebski/cnn-data-augentation-0-1978", "kernel_id": "580920"}, {"ref": "takuok/keras-smallcnn-and-vgg16-fine-tuning", "kernel_id": "508683"}, {"ref": "asindico/icebergs-and-ships-eda-and-augmentation", "kernel_id": "407028"}, {"ref": "hosseinnamazian/simple-cnn-model-in-tensorflow", "kernel_id": "511097"}, {"ref": "mukeshiitr/explore-stacking-another-hi-lo-and-clip-probs", "kernel_id": "649242"}, {"ref": "bekaaa/applying-tensorflow", "kernel_id": "474575"}, {"ref": "ayanmaity/iceberg-recognition-using-keras", "kernel_id": "497305"}, {"ref": "ayanmaity/fork-of-iceberg-recognition", "kernel_id": "498280"}, {"ref": "praveenjune17/sigmoid-model", "kernel_id": "478711"}, {"ref": "bphlmn/what-can-we-do-with-logistic-regression", "kernel_id": "461715"}, {"ref": "shivml89/iceberg-dataset-analysis-using-python", "kernel_id": "454126"}, {"ref": "stefanie04736/simple-keras-model-with-k-fold-cross-validation", "kernel_id": "547610"}, {"ref": "yikoudreams/feature-extraction-by-resnet-cv-added", "kernel_id": "505778"}, {"ref": "nikhilpandey360/fork-of-statoil-final-try", "kernel_id": "582370"}, {"ref": "nikhilpandey360/convolutional-neural-net-tutorial-tensorflow", "kernel_id": "570118"}, {"ref": "plarmuseau/simple-svd-xgboost-baseline-lb-35-5113d7", "kernel_id": "409326"}, {"ref": "plarmuseau/myopic-research", "kernel_id": "408049"}, {"ref": "plarmuseau/how-to-use-the-angle-imho", "kernel_id": "407063"}, {"ref": "plarmuseau/fork-of-fork-of-myopic-research", "kernel_id": "411049"}, {"ref": "plarmuseau/svd-solver", "kernel_id": "422438"}, {"ref": "yekenot/inceptionv3-k-fold-cv-lb-0-1944", "kernel_id": "446700"}, {"ref": "muonneutrino/exploration-transforming-images-in-python", "kernel_id": "407003"}, {"ref": "cedrickchee/boilerplate-of-keras-model-with-eda-0-210-on-lb", "kernel_id": "522238"}, {"ref": "huseinzol05/2d-3d-visualization-using-nce-cost", "kernel_id": "414987"}, {"ref": "huseinzol05/self-optimized-cnn-using-bayesian", "kernel_id": "410158"}, {"ref": "jackvial/a-brief-intro-to-convolution", "kernel_id": "418674"}, {"ref": "rajsaladi/svm-hog-on-colourcompositeimage", "kernel_id": "420133"}, {"ref": "heyt0ny/pytorch-custom-dataload-with-augmentaion", "kernel_id": "418407"}, {"ref": "avarian/tugas-dmkb", "kernel_id": "465249"}, {"ref": "glowingbazooka/semi-supervised-model-using-keras", "kernel_id": "485514"}, {"ref": "vradore/signal-extraction-and-transfer-learning", "kernel_id": "537926"}, {"ref": "nafisur/iceberg-classifier-multipleinput-nodatagen", "kernel_id": "940442"}, {"ref": "nafisur/iceberg-classifier-multipleinput-withdatagen", "kernel_id": "940469"}, {"ref": "keithwm/data-exploration", "kernel_id": "411505"}, {"ref": "juanumusic/plotting-icebergs-and-boats", "kernel_id": "404828"}, {"ref": "bowyee/explore-stacking-lb-0-1463", "kernel_id": "507343"}, {"ref": "vinkaga/a-keras-prototype-0-21174-with-visualizations", "kernel_id": "423265"}, {"ref": "grroverpr/eda-and-cnn-resnet-18-lb-0-2094", "kernel_id": "433843"}, {"ref": "atom1231/keras-autoencoder-with-simple-cnn-kfold4-lb-1704", "kernel_id": "456302"}, {"ref": "ivalmian/simple-svd-xgboost-baseline-lb-35", "kernel_id": "406404"}, {"ref": "friedda1/iceberg-wvadim-credit-py", "kernel_id": "544608"}, {"ref": "samuelsujith/image-generator-augmentation-and-convnet", "kernel_id": "419369"}, {"ref": "samuelsujith/integrate-angle-into-calculations", "kernel_id": "426255"}, {"ref": "samuelsujith/lee-filter", "kernel_id": "427859"}, {"ref": "reppic/predicting-missing-incidence-angles", "kernel_id": "539123"}, {"ref": "san7911/icebergtest", "kernel_id": "905991"}, {"ref": "san7911/keras-cnn-statoil-iceberg-lb-0-1995-now-0-1516", "kernel_id": "901901"}, {"ref": "kevinling0218/rapid-keras-model-for-classification", "kernel_id": "524922"}, {"ref": "green05031/first-image-recognition", "kernel_id": "421258"}, {"ref": "hcc1995/keras-cnn-model", "kernel_id": "469774"}, {"ref": "arpandhatt/siamese-neural-networks", "kernel_id": "743610"}, {"ref": "arpandhatt/package-data", "kernel_id": "501451"}, {"ref": "golubev/silver-best-public-kernel-0-1258-0-1374-lb", "kernel_id": "543119"}, {"ref": "uchihasean/keras-cnn-band-inc-angle", "kernel_id": "503140"}, {"ref": "bluevalhalla/fully-convolutional-network-lb-0-193", "kernel_id": "434083"}, {"ref": "tejasshahpuri/keras-plus-tensorflow", "kernel_id": "445782"}, {"ref": "warpri81/plotting-band-1-2-combinations", "kernel_id": "540433"}, {"ref": "warpri81/diving-for-features", "kernel_id": "519588"}, {"ref": "warpri81/calming-the-seas-normalize-augment-bands", "kernel_id": "524511"}, {"ref": "submarineering/submarineering-objects-isolation-0-75-lb", "kernel_id": "489963"}, {"ref": "submarineering/submarineering-what-about-volume", "kernel_id": "500986"}, {"ref": "submarineering/submarineering-size-matters-0-75-lb", "kernel_id": "455319"}, {"ref": "submarineering/submarineering-even-better-public-score-until-now", "kernel_id": "523889"}, {"ref": "submarineering/submarineering-scoring-cracking-log-loss", "kernel_id": "532958"}, {"ref": "submarineering/submarineering-best-public-score-until-now", "kernel_id": "514348"}, {"ref": "shravyam/notebook395e095bb9", "kernel_id": "447424"}, {"ref": "towever/transfer-learning-with-vgg-16-convnet-lb-0-1850", "kernel_id": "438924"}, {"ref": "sdalvi/pytorch-cnn-sixth-generation", "kernel_id": "437664"}, {"ref": "jgroff/despeckling-synthetic-aperture-radar-sar-images", "kernel_id": "476190"}, {"ref": "mnoori/fancy-imputing-the-missing-inc-angles-beginner", "kernel_id": "547794"}, {"ref": "houlong66/pytorch-test1", "kernel_id": "534921"}, {"ref": "poliedou/split-test-json-to-avoid-memory-issues", "kernel_id": "538617"}, {"ref": "skgunnala/keras-resnet-with-image-augmentation", "kernel_id": "495987"}, {"ref": "kleberbernardo/iceberg-or-not", "kernel_id": "560540"}, {"ref": "weiji14/keras-tinyyolo-based-model", "kernel_id": "540917"}, {"ref": "rohith007/ice-berg-classifier-challenge", "kernel_id": "1083946"}, {"ref": "poigal/transfer-learning-feature-extraction-and-pca", "kernel_id": "1385911"}, {"ref": "youssefmubarak/statoil-iceberg-classifier", "kernel_id": "1722160"}, {"ref": "twhitehurst3/fcn-keras-iceberg", "kernel_id": "2924804"}, {"ref": "anil777/transfer-learning-with-vgg-16-cnn-aug-lb-0-1712", "kernel_id": "3610997"}, {"ref": "anil777/transfer-learning-with-vgg-16-cnn-aug-lb-0-51be84", "kernel_id": "3611020"}, {"ref": "bwahns/iceberg-classifier-eric", "kernel_id": "8403827"}, {"ref": "leeyongsung/notebook028c10f49c", "kernel_id": "12524466"}, {"ref": "oscarsommervold/iceberg-challenge-exploration", "kernel_id": "15693211"}, {"ref": "sh0wmaker/binary-image-classification-keras-for-lecture", "kernel_id": "15912759"}, {"ref": "sh0wmaker/binary-image-classification", "kernel_id": "15843627"}, {"ref": "masoumehavahedi/glcm-features-lgbm-image-classification", "kernel_id": "16518194"}, {"ref": "semjinwu/statoil-c-core-iceberg-classifier-challenge", "kernel_id": "33466911"}, {"ref": "pumpkinpiecake/notebook75197ada99", "kernel_id": "37150416"}, {"ref": "oscarbeijbom/iceberg-data-visualizer", "kernel_id": "43730179"}, {"ref": "shaileshshettyd/iceberg-inferno-3000", "kernel_id": "51417728"}, {"ref": "pailinsapphire/notebookd855c2b920", "kernel_id": "51960770"}, {"ref": "yeowonn/img-iceberg-sol-2", "kernel_id": "52645479"}, {"ref": "yeowonn/img-iceberg-sol-3", "kernel_id": "52699848"}, {"ref": "yeowonn/img-iceberg-sol-1", "kernel_id": "52211546"}, {"ref": "yueunchoi/240321-keras-model-for-beginners-eda-r-d", "kernel_id": "52990039"}, {"ref": "jihunhyeon/5-statoil-c-core-iceberg-classifier-challenge", "kernel_id": "53080861"}, {"ref": "hanpil/240321-keras-model-for-beginners-eda-r-d", "kernel_id": "53285444"}, {"ref": "yeowonn/img-iceberg-sol-4", "kernel_id": "53050152"}, {"ref": "suchadapleasong/iceberg", "kernel_id": "53570268"}, {"ref": "suchadapleasong/iceberg2", "kernel_id": "53721167"}, {"ref": "alperugurca/statoil-c-core-iceberg-classifier-challenge", "kernel_id": "69441179"}, {"ref": "georgeokello/statoil-c-core-iceberg-classifier-challenge", "kernel_id": "90092456"}, {"ref": "eladsim/iceberg-vs-ship", "kernel_id": "103376029"}, {"ref": "nocarbonintelligence/isar-classification", "kernel_id": "103233737"}, {"ref": "alexagomez218/notebook833183d5ca", "kernel_id": "103234674"}, {"ref": "fakhretdinovarthur/notebook4c602f896c", "kernel_id": "111236051"}]}
{"competition_id": "7384", "kernels": []}
{"competition_id": "7391", "kernels": [{"ref": "konradb/extending-date-ranges", "kernel_id": "452847"}, {"ref": "domcastro/mean-baseline-lb-59", "kernel_id": "413299"}, {"ref": "domcastro/log-moving-averages-forecasting-lb-0-547", "kernel_id": "423013"}, {"ref": "inversion/last-year-s-sales-benchmark", "kernel_id": "399856"}, {"ref": "inversion/dataframe-with-all-date-store-item-combinations", "kernel_id": "399868"}, {"ref": "ranandiitk/analysis-grocery-sales-forecasting", "kernel_id": "401271"}, {"ref": "ceshine/mean-baseline-lb-59", "kernel_id": "402991"}, {"ref": "ceshine/parse-holiday-data", "kernel_id": "420955"}, {"ref": "ceshine/simple-knn-baseline", "kernel_id": "416496"}, {"ref": "ceshine/lgbm-starter", "kernel_id": "467163"}, {"ref": "ambarish/grocery-eda-dirty-xgboost-arima-ets-prophet", "kernel_id": "400282"}, {"ref": "ben519/paulo-pinto-s-log-mas-ported-to-r-lb-0-529", "kernel_id": "458608"}, {"ref": "viveksrinivasan/reading-random-subset-of-rows-in-train-csv", "kernel_id": "400951"}, {"ref": "loveall/grocery-eda-dirty-xgboost-arima-ets-prophet", "kernel_id": "404933"}, {"ref": "loveall/mean-baselinesk-lb-59", "kernel_id": "403929"}, {"ref": "loveall/grocery-eda-dirty-xgboost-arima-ets-prophet-gk", "kernel_id": "430446"}, {"ref": "loveall/favorita-analytics", "kernel_id": "430421"}, {"ref": "loveall/read-data-for-low-memory-usagesk", "kernel_id": "414200"}, {"ref": "loveall/shopping-for-insights-favorita-eda", "kernel_id": "410129"}, {"ref": "loveall/nine-regressors-gokagglers", "kernel_id": "432291"}, {"ref": "loveall/all-csv-files-a-glance", "kernel_id": "433996"}, {"ref": "rahavendranmohandass/notebook033d0568ec", "kernel_id": "426232"}, {"ref": "ericperbos/favorita-fastai", "kernel_id": "518890"}, {"ref": "jaime9/using-the-media-as-estimator-of-the-sales-simple", "kernel_id": "453348"}, {"ref": "hireme/do-you-like-random", "kernel_id": "400323"}, {"ref": "web8341/grocery-analysis-v4", "kernel_id": "538750"}, {"ref": "nakapoor/finding-best-selling-products", "kernel_id": "402937"}, {"ref": "scirpus/transform-target-to-error-space", "kernel_id": "485503"}, {"ref": "tauseefkhan/holiday-events-analysis-work-in-progress", "kernel_id": "425948"}, {"ref": "armaan/comprehensive-favorita-analysis-groupby-d3", "kernel_id": "402054"}, {"ref": "rajuspartan/store-wise-and-product-category-wise-analysis", "kernel_id": "413386"}, {"ref": "kiranganji99/log-ma-and-day-of-week-means-in-r-lb-0-532", "kernel_id": "455072"}, {"ref": "rexzhang2013/sales-prediction-practise", "kernel_id": "442563"}, {"ref": "kelexu/5-neural-network-average-public-504-private-516", "kernel_id": "541197"}, {"ref": "dongxu027/ensemble-of-ma-lgbm-catboost-models-lb-0-513", "kernel_id": "515956"}, {"ref": "dongxu027/time-series-ets-starter-lb-0-556", "kernel_id": "401986"}, {"ref": "jtrotman/store-wise-plots-of-promo-code-by-day-item-white", "kernel_id": "544692"}, {"ref": "jtrotman/store-wise-pixel-plots-of-promo-code-by-day-item", "kernel_id": "541945"}, {"ref": "tsdaemon/mapreduce-for-batch-processing-of-a-big-dataset", "kernel_id": "407391"}, {"ref": "nit458/holiday-data-cleaning-and-merging-with-store", "kernel_id": "450361"}, {"ref": "captcalculator/variation-on-dseverything-s-ets-starter-script", "kernel_id": "433773"}, {"ref": "captcalculator/a-very-extensive-favorita-exploratory-analysis", "kernel_id": "403486"}, {"ref": "joconnor/eat-the-benchmark-lb-0-669", "kernel_id": "401495"}, {"ref": "tunguz/xgboost-one-step-ahead-lb-0-519", "kernel_id": "511234"}, {"ref": "tunguz/catboost-starter-lb-0-517", "kernel_id": "514500"}, {"ref": "tunguz/regularized-greedy-forest-starter-lb-0-544", "kernel_id": "516617"}, {"ref": "tunguz/lgbm-one-step-ahead-c8de0f", "kernel_id": "516927"}, {"ref": "tunguz/lgbm-one-step-ahead", "kernel_id": "497782"}, {"ref": "tkm2261/bigquery-sql-reproducing-paulo-pinto-s-lb-0-529", "kernel_id": "428200"}, {"ref": "tkm2261/bigquery-kaggle-tutorial-with-lb-0-59-and-0-546", "kernel_id": "425297"}, {"ref": "tkm2261/eval-metric-and-evaluating-last-year-sales-bench", "kernel_id": "403423"}, {"ref": "danieleewww/ensemble-of-ma-lgbm-catboost-models-lb-0-512", "kernel_id": "529631"}, {"ref": "danieleewww/lgbm-one-step-ahead", "kernel_id": "509584"}, {"ref": "sakira/what-to-buy-from-the-grocery", "kernel_id": "405694"}, {"ref": "nappon/create-network-graph-to-plan-join-strategy", "kernel_id": "482287"}, {"ref": "sjoly123/lgbm-one-step-ahead-c8de0f-adj", "kernel_id": "517915"}, {"ref": "sjoly123/lgbm-one-step-ahead", "kernel_id": "503974"}, {"ref": "aerdem4/ensemble-of-ma-lgbm-catboost-models-lb-0-512", "kernel_id": "516265"}, {"ref": "anuj3305/kernel20508a3f18", "kernel_id": "962259"}, {"ref": "jagangupta/memory-optimization-and-eda-on-entire-dataset", "kernel_id": "400212"}, {"ref": "jagangupta/interactive-favorita-visualizations-dashboards", "kernel_id": "403767"}, {"ref": "aviatorx/shopping-for-insights-favorita-eda", "kernel_id": "521151"}, {"ref": "mattsherar/pytorch-gru", "kernel_id": "540857"}, {"ref": "sudosudoohio/average-per-month-then-caculate-mean-of-four-ends", "kernel_id": "432864"}, {"ref": "paulorzp/log-ma-and-days-of-week-means-lb-0-529", "kernel_id": "427635"}, {"ref": "paulorzp/log-means-and-medians-to-predict-new-itens-0-546", "kernel_id": "425980"}, {"ref": "paulorzp/log-moving-averages-forecasting-lb-0-546", "kernel_id": "419934"}, {"ref": "paulorzp/mean-log-with-pandas-only-lb-0-558", "kernel_id": "413440"}, {"ref": "paulorzp/one-line-median-lb-0-650", "kernel_id": "400104"}, {"ref": "paulorzp/one-line-mean-log-lb-0-622", "kernel_id": "403403"}, {"ref": "paulorzp/log-ma-with-special-days-lb-0-529", "kernel_id": "438603"}, {"ref": "rwexler/eda-for-grocery-sales-forecasting", "kernel_id": "400051"}, {"ref": "jihyeseo/favorita-grocery-eda", "kernel_id": "958205"}, {"ref": "gmanjunath/xgboost-predictions", "kernel_id": "458210"}, {"ref": "gmanjunath/favorita-analytics", "kernel_id": "406239"}, {"ref": "vrtjso/lgbm-one-step-ahead", "kernel_id": "496704"}, {"ref": "vrtjso/ensemble-of-public-kernels", "kernel_id": "469364"}, {"ref": "shixw125/1st-place-lgb-model-public-0-506-private-0-511", "kernel_id": "540956"}, {"ref": "shixw125/1st-place-nn-model-public-0-507-private-0-513", "kernel_id": "540961"}, {"ref": "tarobxl/ma-for-each-day-lb-0-537", "kernel_id": "427145"}, {"ref": "tarobxl/how-the-test-set-is-split-lb-0-532", "kernel_id": "428336"}, {"ref": "dragondeldesierto/onpromotion-basic-stats-in-r", "kernel_id": "511295"}, {"ref": "dragondeldesierto/corporacion-favorita-leaderboard-small-analysis", "kernel_id": "511693"}, {"ref": "dragondeldesierto/snaive-forecast-frequency-7", "kernel_id": "482669"}, {"ref": "ggoals/devfest", "kernel_id": "443163"}, {"ref": "nimesh280/ma-forecasting-with-holiday-effect-lb-0-529", "kernel_id": "437464"}, {"ref": "alijs1/prophet-example-for-time-series-predictions", "kernel_id": "423196"}, {"ref": "noklamchan/understanding-the-data-table-relationships", "kernel_id": "465006"}, {"ref": "gouravg2/comprehensive-python-and-d3-js-favorita-analytics", "kernel_id": "467989"}, {"ref": "melwinjose/mean-prediciton-0-908-20-lines", "kernel_id": "445796"}, {"ref": "ekami66/python-eda-with-few-interactive-graphs", "kernel_id": "409768"}, {"ref": "ekami66/tables-merging", "kernel_id": "424329"}, {"ref": "deenaliz/master-dataset-with-basic-eda-ready-for-analysis", "kernel_id": "410646"}, {"ref": "bala2728/predicting-the-sales", "kernel_id": "400880"}, {"ref": "kaggleslayer/grocery-prediction-with-neural-network", "kernel_id": "439560"}, {"ref": "viczyf/lgbm-model-private-score-0-515", "kernel_id": "540892"}, {"ref": "cbrioso/optimal-weights-of-prior-sales-lb-0-644", "kernel_id": "462277"}, {"ref": "cbrioso/lightgbm-with-cv", "kernel_id": "457787"}, {"ref": "senkin13/lstm-starter", "kernel_id": "509196"}, {"ref": "jeru666/all-csv-files-a-glance", "kernel_id": "401575"}, {"ref": "jeru666/simple-exploration-visualization-notebook", "kernel_id": "401865"}, {"ref": "arthurtok/comprehensive-python-and-d3-js-favorita-analytics", "kernel_id": "401213"}, {"ref": "gaojianj96/item-mean-calculation", "kernel_id": "455808"}, {"ref": "sbongo/tensorflow-nn-drop-out-batch-norm-lb-0-515", "kernel_id": "538047"}, {"ref": "sbongo/lgbm-xgb-lr-weighted-average-lb-0-514", "kernel_id": "518664"}, {"ref": "sbongo/another-look-at-forecasting-gridsearch-arima", "kernel_id": "514585"}, {"ref": "smcnish71/min-of-two-ma-kernels-lb-0-528", "kernel_id": "446088"}, {"ref": "clarkchong/fan-fei-s-grocery-understanding-mean-baseline", "kernel_id": "256299"}, {"ref": "clarkchong/fan-fei-s-grocery-understanding-lightgbm", "kernel_id": "414168"}, {"ref": "hanania/mean-item-sales-benchmark", "kernel_id": "439541"}, {"ref": "hemantnyadav/multilayer-peceptron-without-oil-csv", "kernel_id": "436467"}, {"ref": "hemantnyadav/randomforestregressor-without-oil-csv", "kernel_id": "432266"}, {"ref": "hemantnyadav/one-product-random-forest", "kernel_id": "492854"}, {"ref": "larui529/reproducing-heads-or-tails-s-eda-in-python", "kernel_id": "500234"}, {"ref": "cjolley/xgboost-model-in-r-with-puzzling-results", "kernel_id": "426185"}, {"ref": "johnsonchen1989/fork-of-fork-of-shopping-for-insights-favorita-e", "kernel_id": "746712"}, {"ref": "puremath86/clean-up-on-aisle-4", "kernel_id": "400001"}, {"ref": "asindico/sales-forecasting-eda", "kernel_id": "400262"}, {"ref": "deepdreamer/a-silver-solution-33rd", "kernel_id": "540826"}, {"ref": "nilzone/eda-on-grocery-sales-forecasting", "kernel_id": "401844"}, {"ref": "nilzone/eda-for-grocery-sales-forecasting", "kernel_id": "401991"}, {"ref": "aharless/nn-starter-using-lingzhi-ceshine-data", "kernel_id": "498082"}, {"ref": "aharless/lgbm-from-prepared-favorita-data", "kernel_id": "498000"}, {"ref": "aharless/preparing-data-for-lgbm-or-something-else", "kernel_id": "497933"}, {"ref": "aharless/xgb-using-ceshine-s-data", "kernel_id": "496499"}, {"ref": "aharless/preparing-data-ii", "kernel_id": "505494"}, {"ref": "aharless/lightgbm-including-unsold-items", "kernel_id": "505774"}, {"ref": "aharless/stage-3-validation-and-submission", "kernel_id": "504213"}, {"ref": "aharless/stage-2a-the-first-half", "kernel_id": "502925"}, {"ref": "aharless/stage-2b-the-second-half", "kernel_id": "503043"}, {"ref": "aharless/the-danger-of-far-out-of-sample-ts-forecasts", "kernel_id": "488291"}, {"ref": "aharless/quick-sanity-check", "kernel_id": "491872"}, {"ref": "aharless/ceshine-s-lgb-w-val-data-included-in-training", "kernel_id": "491446"}, {"ref": "aharless/ok-but-how-do-we-know-which-had-the-best-score", "kernel_id": "482863"}, {"ref": "aharless/dissecting-ceshine-lee-s-lgbm-kernel", "kernel_id": "482970"}, {"ref": "aharless/bojan-s-favorita-catboost-from-prepared-data", "kernel_id": "514825"}, {"ref": "aharless/lgbm-one-step-ahead-with-proper-validation", "kernel_id": "520895"}, {"ref": "aharless/bojan-s-favorita-xgboost-from-prepared-data", "kernel_id": "515530"}, {"ref": "aharless/second-week-sales", "kernel_id": "539229"}, {"ref": "aharless/analyze-2nd-week-sales", "kernel_id": "539269"}, {"ref": "vsedelnik/log-ma-dow-means-promo-coeff-lb-0-526", "kernel_id": "504722"}, {"ref": "sohinibhattacharya86/predict-grocery-sales-rf-xgb", "kernel_id": "429266"}, {"ref": "azzabiala/predict-sales-grocery-rf-gbr", "kernel_id": "529826"}, {"ref": "robinhoo1973/supportive-data-preprocess-with-low-memory", "kernel_id": "438755"}, {"ref": "heyt0ny/read-data-for-low-memory-usage", "kernel_id": "403393"}, {"ref": "daniluvatar/persisten-forecast-performance-baseline-notebook", "kernel_id": "432667"}, {"ref": "daniluvatar/persistent-forecast-performance-baseline", "kernel_id": "432452"}, {"ref": "headsortails/shopping-for-insights-favorita-eda", "kernel_id": "399956"}, {"ref": "leonpaul93/initial-eda-and-memory-reduction", "kernel_id": "472058"}, {"ref": "bdeng3/intuitive-interactive-eda-plotly-geojson", "kernel_id": "509758"}, {"ref": "saivarunk/eda-on-grocery-sales-forecasting", "kernel_id": "399905"}, {"ref": "juanumusic/tidy-notebook-and-deep-analysis", "kernel_id": "400759"}, {"ref": "prabhulingayya/data-exploration-and-analysis", "kernel_id": "461542"}, {"ref": "kausik123/corporaci-n-favorita-grocery-sales-forecasting", "kernel_id": "401436"}, {"ref": "deeplake/favorita-grocery-data-analysis-model-test", "kernel_id": "412140"}, {"ref": "andygoo/dataset-make", "kernel_id": "486405"}, {"ref": "andygoo/analysis-of-aggregated-item-series", "kernel_id": "511017"}, {"ref": "rosejk/ml-project", "kernel_id": "430066"}, {"ref": "victorgrobberio/visualizing-smelling-and-feeling-business-data", "kernel_id": "401416"}, {"ref": "stkbailey/pre-processing-the-oil-timeseries", "kernel_id": "529853"}, {"ref": "lkkadiri/a-very-extensive-favorita-exploratory-analysis", "kernel_id": "412702"}, {"ref": "rloury/sales-prevision-lstm", "kernel_id": "410682"}, {"ref": "rloury/test-with-neural-network", "kernel_id": "416417"}, {"ref": "sidshady/transactions-per-year-per-month-comparison", "kernel_id": "421521"}, {"ref": "rjcampa/simple-oil-price-imputation", "kernel_id": "443606"}, {"ref": "houxudan63/lgbm-modification", "kernel_id": "507098"}, {"ref": "franciscadias/weekends-at-favorita-eda-analysis", "kernel_id": "414984"}, {"ref": "nishant4k/time-series-lb-0-558", "kernel_id": "425804"}, {"ref": "shubhs1211/primary-eda", "kernel_id": "465997"}, {"ref": "shubhs1211/predict-grocery-sales-3-models", "kernel_id": "464137"}, {"ref": "shubhs1211/predict-sales-xgboost", "kernel_id": "460362"}, {"ref": "ericdfr/compare-submissions", "kernel_id": "492470"}, {"ref": "ericdfr/transactions", "kernel_id": "409495"}, {"ref": "ericdfr/new-items-in-stores", "kernel_id": "428462"}, {"ref": "gauravlingwal007/forecasting-grocery-sales", "kernel_id": "430598"}, {"ref": "singhpari/notebook5754646f19", "kernel_id": "483651"}, {"ref": "johnmisquita/sales-forecaster", "kernel_id": "425213"}, {"ref": "npa02012/ceshine-s-lgbm-starter-in-r-lb-0-529", "kernel_id": "489626"}, {"ref": "npa02012/mean-baseline-lb-59-translated-to-r", "kernel_id": "430177"}, {"ref": "anjukan/exploratory-data-analysis-for-sales-forecasting", "kernel_id": "409942"}, {"ref": "ldreano/read-train-csv-with-a-condition", "kernel_id": "418931"}, {"ref": "djcjlll/5-day-data-challenge-day-1", "kernel_id": "470819"}, {"ref": "songkevinc/favorita-feature-extraction-and-data-cleaning", "kernel_id": "501464"}, {"ref": "noordk/week-by-week-data", "kernel_id": "411441"}, {"ref": "sunnybangale/finding-overlap-between-train-and-test-datasets", "kernel_id": "431488"}, {"ref": "thepathofd/a-first-kaggle-part-1-forecasting-store-47", "kernel_id": "415168"}, {"ref": "kunalkotian/easily-load-train-csv-w-o-crash-save-feather-file", "kernel_id": "411397"}, {"ref": "youngguy131/devfest", "kernel_id": "443209"}, {"ref": "tusharraman/sales-forecast", "kernel_id": "416609"}, {"ref": "ksrinivas02/shopping-for-insights-favorita-eda-c62c1e", "kernel_id": "693504"}, {"ref": "marcos19araujo/the-best-products-to-be-reach", "kernel_id": "421048"}, {"ref": "towever/devfest", "kernel_id": "436377"}, {"ref": "elloumi/test-1", "kernel_id": "550515"}, {"ref": "ashfaqeee/grocery-prediction", "kernel_id": "504002"}, {"ref": "zazulam/comprehensive-python-and-d3-js-favorita-ana-0ec32d", "kernel_id": "620029"}, {"ref": "rawi707/favorita-analysis-via-regression-models", "kernel_id": "455827"}, {"ref": "kimkihyun/devfest-7210db", "kernel_id": "443199"}, {"ref": "anujis60/primary-eda", "kernel_id": "464044"}, {"ref": "carlosefrain17/notebook5bff396417", "kernel_id": "540431"}, {"ref": "abdulelah1/notebook3c28b168c6", "kernel_id": "514059"}, {"ref": "josephspear/favorita-grocery-sales-forecasting-eda", "kernel_id": "495841"}, {"ref": "miguelcpsbrito/supermarket-predictions", "kernel_id": "513035"}, {"ref": "byronvinu/lstm-network-for-regression", "kernel_id": "540446"}, {"ref": "mormukut/top-1-on-leaderboard", "kernel_id": "1343346"}, {"ref": "socherbyc/forecast", "kernel_id": "1102703"}, {"ref": "ailobe/fastai-ml1-lesson1-rf", "kernel_id": "1389108"}, {"ref": "timetraveller98/testing-pandas-read-csv-performance", "kernel_id": "1913917"}, {"ref": "vinaykumar2491/imflash217-bulldozers", "kernel_id": "2708613"}, {"ref": "thawatchai2018/predicting-transactions-fb-prophet-tutorial", "kernel_id": "2123669"}, {"ref": "rihadv/predicting-transactions-fb-prophet-tutorial", "kernel_id": "2298895"}, {"ref": "fengsi/fast-ai-ml-lecture-3", "kernel_id": "2116215"}, {"ref": "leeweimin/fast-ai-lesson-3-favorita-notes", "kernel_id": "2662953"}, {"ref": "nguyentp/rekaggle-favorita-timeseries-feature-engineering", "kernel_id": "3056377"}, {"ref": "vaillaud/favorita-reverse-engineering-lgbm", "kernel_id": "3242507"}, {"ref": "tanzy96/ben-s-lgbm-notebook-2", "kernel_id": "3513925"}, {"ref": "ashishpsharma/kernel743bad8c17", "kernel_id": "8214213"}, {"ref": "devendratapdia/corporacion-favourita-grocery-sales-focasting", "kernel_id": "9906213"}, {"ref": "cuge1995/cannot-work-with-zip", "kernel_id": "10237753"}, {"ref": "rajayushml/lgbm-starter", "kernel_id": "11602919"}, {"ref": "hodtwito/bgu-dl2021-yhb", "kernel_id": "13605390"}, {"ref": "yundojeong/notebook24f42c4b27", "kernel_id": "13879079"}, {"ref": "jungeun0121/basic-eda", "kernel_id": "13963157"}, {"ref": "yashpiplani/eda-sales-forecasting", "kernel_id": "14258557"}, {"ref": "emanuelepanizio/wip-favorita-unit-sales-forecasting", "kernel_id": "14244765"}, {"ref": "hemantnyadav/basic-statistical-methods-on-favorita", "kernel_id": "17696916"}, {"ref": "maximbragilovski/bgu-dl-2021b-zzm", "kernel_id": "17017071"}, {"ref": "saikamsivanireddy/sales-forecast", "kernel_id": "21879045"}, {"ref": "saikamsivanireddy/new-notebook", "kernel_id": "21928340"}, {"ref": "dmitrykhoteenkov/prophet-notebook", "kernel_id": "22910642"}, {"ref": "sandraezzat/memory-optimization-data-manipulation", "kernel_id": "23689213"}, {"ref": "sandraezzat/favorita-grocery-sales-forecasting", "kernel_id": "23681231"}, {"ref": "kseniadrokov/bgu-dl-2022b-dk-favorita-grocery-sales-forecasting", "kernel_id": "23030032"}, {"ref": "yixuliu/fork-of-corporaci-n-favorita-grocery-sales-forecas", "kernel_id": "24149048"}, {"ref": "sharafmukhtar/read-over-100-million-rows-in-less-than-2-minutes", "kernel_id": "25420324"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "thanhdat2601/notebook3695a45d49", "kernel_id": "30885344"}, {"ref": "aerdem4/notebookaab184afb1", "kernel_id": "34862562"}, {"ref": "ilegionnpy/proyecto-c-corporaci-n-favorita-grocery-sales-fo", "kernel_id": "38756282"}, {"ref": "ravs20/favorita-data-preprocessing", "kernel_id": "38960793"}, {"ref": "ravs20/training-10-100-100000", "kernel_id": "39363261"}, {"ref": "saptarshi7470/log-ma-and-days-of-week-means-lb-0-529", "kernel_id": "47002579"}, {"ref": "saptarshi7470/lgbm-starter", "kernel_id": "47002803"}, {"ref": "gregorykuznetsov/demand-kuznetsov-ga", "kernel_id": "47190128"}, {"ref": "yngghostt/prepare-favorita-dataset", "kernel_id": "47352821"}, {"ref": "davidkirkbrideblk/favorita-i", "kernel_id": "47157486"}, {"ref": "hongxiaojunhan/basic-statistical-methods-on-favorita", "kernel_id": "48495116"}, {"ref": "navid365/eda-full-report-grocery-sales-dataset", "kernel_id": "48499580"}, {"ref": "navid365/eda-sales-superstore-dataset", "kernel_id": "48643182"}, {"ref": "navid365/linear-regressionwith-feature-selection", "kernel_id": "48820000"}, {"ref": "wangfanya/grocery-prediction-with-neural-network", "kernel_id": "48785696"}, {"ref": "woodsyosh/ml-project-bis", "kernel_id": "58281375"}, {"ref": "yllichn/eda-for-final-assignment", "kernel_id": "60968389"}, {"ref": "diqeddiq/notebooke41fff9e40", "kernel_id": "61465751"}, {"ref": "shubham9056/shubham", "kernel_id": "69571247"}, {"ref": "mmakemd/epam-store", "kernel_id": "73367335"}, {"ref": "katsiarynahurskaya/epam-store", "kernel_id": "73910083"}, {"ref": "anacrnkovi/epam-store", "kernel_id": "73909371"}, {"ref": "elizavetamoraru/epam-store", "kernel_id": "73905696"}, {"ref": "pavelnikolaichev/epam-store", "kernel_id": "74525492"}, {"ref": "ssaammm/epam-store", "kernel_id": "74526108"}, {"ref": "yassmenhussinibrahim/ds-hw4", "kernel_id": "74720841"}, {"ref": "hoanglongvn/epam-store", "kernel_id": "74522750"}, {"ref": "timuramangeldiyev/ds-hw4", "kernel_id": "74515974"}, {"ref": "matsveikasiakou/epam-store", "kernel_id": "74615878"}, {"ref": "kushaljain0/epam-store-kushal-jain", "kernel_id": "74076608"}, {"ref": "vravi7/epam-store", "kernel_id": "74855735"}, {"ref": "silverfangs/epam-store", "kernel_id": "74763370"}, {"ref": "verbatim479/epam-store", "kernel_id": "74759402"}, {"ref": "danilakuroedov/ds-4-hw", "kernel_id": "74214944"}, {"ref": "danilakuroedov/epam-store", "kernel_id": "74226267"}, {"ref": "evxdgh/epam-store", "kernel_id": "74800171"}, {"ref": "viktorpetrovsky/epam-store", "kernel_id": "74683825"}, {"ref": "giorgivelijanashvili/epam-store", "kernel_id": "74519798"}, {"ref": "ruslantasmukhanov/epam-store", "kernel_id": "74706588"}, {"ref": "thilaknakumaratunga/sales-forecasting-v1", "kernel_id": "75451095"}, {"ref": "uom200058l/favorita-grocery-sales-forecasting", "kernel_id": "75504623"}, {"ref": "uom200058l/notebook9df39a834b", "kernel_id": "75447336"}, {"ref": "uruchimavega/notebook11fa98164a", "kernel_id": "78334564"}, {"ref": "santiagomatamoros/practica1", "kernel_id": "82653738"}, {"ref": "iteddyyy/recsys", "kernel_id": "83973796"}, {"ref": "ehthniv/machine-learning-k23416", "kernel_id": "94679708"}, {"ref": "ehthniv/fork-of-machine-learning-k23416-sarima", "kernel_id": "96646046"}, {"ref": "honggiaminh/favorita-code", "kernel_id": "98413340"}, {"ref": "nguynquocduy24/midterm-bi", "kernel_id": "98427321"}, {"ref": "ikrammtimet/dl-project-flowx-data-preprocessing", "kernel_id": "99731857"}, {"ref": "fatmaalzahramohamed/cs495-deeplearningfinalproject-flowx", "kernel_id": "102109047"}, {"ref": "quagghyy/prethesis-llmforecaster", "kernel_id": "102080460"}, {"ref": "quagghyy/note1", "kernel_id": "102079835"}, {"ref": "firmanmulti/demand-forecasting-favorita-grocery-sales", "kernel_id": "106942291"}, {"ref": "khadidiatoudiakhat/tp-ml-favorita", "kernel_id": "106267925"}, {"ref": "diormbengue/pr-traitement", "kernel_id": "106335120"}, {"ref": "diormbengue/favorita-grocery-sales-forecasting", "kernel_id": "106240203"}, {"ref": "jacquesilly/eda-pr-vision-des-ventes", "kernel_id": "106330182"}, {"ref": "jacquesilly/tp-ml-favorita-5", "kernel_id": "106806749"}, {"ref": "markterris/hw3-ts", "kernel_id": "112603153"}, {"ref": "rayyanmujtabamusab/final-note", "kernel_id": "112172914"}, {"ref": "nghuxung/ie212-eda-p1", "kernel_id": "117753653"}, {"ref": "nghuxung/ie212-wavelet", "kernel_id": "119097360"}, {"ref": "nghuxung/train-baseline-lstm-wavelet", "kernel_id": "120776131"}, {"ref": "pgnjams/ie212-datapreprocessing-2", "kernel_id": "121002458"}, {"ref": "pgnjams/ie212-datapreprocessing-final", "kernel_id": "121070595"}, {"ref": "manhdevuit/bigdata-lstm-lightgbm", "kernel_id": "121163078"}, {"ref": "takatakamaimai/lightgbm-imai", "kernel_id": "121267601"}, {"ref": "takatakamaimai/multiple-regression-analysis-ols-imai", "kernel_id": "121271057"}, {"ref": "takatakamaimai/3level16model264", "kernel_id": "121520036"}, {"ref": "rhoalpha/favorita-lgbm-pipeline", "kernel_id": "126346200"}, {"ref": "dorky1/time-series-forecasting", "kernel_id": "134697705"}]}
{"competition_id": "7401", "kernels": []}
{"competition_id": "7403", "kernels": []}
{"competition_id": "7407", "kernels": []}
{"competition_id": "7413", "kernels": []}
{"competition_id": "7414", "kernels": []}
{"competition_id": "7417", "kernels": []}
{"competition_id": "7420", "kernels": []}
{"competition_id": "7425", "kernels": []}
{"competition_id": "7431", "kernels": []}
{"competition_id": "7436", "kernels": []}
{"competition_id": "7438", "kernels": []}
{"competition_id": "7442", "kernels": []}
{"competition_id": "7446", "kernels": []}
{"competition_id": "7450", "kernels": []}
{"competition_id": "7453", "kernels": []}
{"competition_id": "7456", "kernels": [{"ref": "morenoh149/landmark-starter", "kernel_id": "992655"}, {"ref": "kmader/baseline-landmark-model", "kernel_id": "595662"}, {"ref": "davidthaler/gap-metric", "kernel_id": "743949"}, {"ref": "aamaia/problems-with-some-images-solved", "kernel_id": "638979"}, {"ref": "ronigur/bash-data-downloader", "kernel_id": "678752"}, {"ref": "maxwell110/python3-version-image-downloader", "kernel_id": "588197"}, {"ref": "emilmelnikov/landmark-dataset-url-analysis", "kernel_id": "962755"}, {"ref": "emilmelnikov/dataset-downloader-with-multiple-features", "kernel_id": "962921"}, {"ref": "anokas/python3-dataset-downloader-with-progress-bar", "kernel_id": "595597"}, {"ref": "jihyeseo/landmark-recognition", "kernel_id": "958555"}, {"ref": "safavieh/random-landmark-based-on-train-set-frequency", "kernel_id": "919384"}, {"ref": "mxdbld/simple-exploration-of-google-recognition", "kernel_id": "628508"}, {"ref": "vasanthstudies/landmark-recognition-challenge-image-downloader", "kernel_id": "762293"}, {"ref": "vasanthstudies/landmark-recognition-by-image-tf", "kernel_id": "756015"}, {"ref": "vasanthstudies/landmark-google-v1", "kernel_id": "893199"}, {"ref": "akhileshjoshi/downloading-the-images-with-opencv-simple-code", "kernel_id": "831085"}, {"ref": "gpreda/google-landmark-recogn-challenge-data-exploration", "kernel_id": "666110"}, {"ref": "gdangel0/quick-start-google-landmark-recognition-challenge", "kernel_id": "700478"}, {"ref": "dysonlin/open-dataset", "kernel_id": "590807"}, {"ref": "plarmuseau/open-dataset-theano-tensor-first-image", "kernel_id": "799561"}, {"ref": "wesamelshamy/extract-geographical-info-in-image-description", "kernel_id": "972818"}, {"ref": "wesamelshamy/image-feature-extraction-and-matching-for-newbies", "kernel_id": "891009"}, {"ref": "codename007/a-very-extensive-landmark-exploratory-analysis", "kernel_id": "618546"}, {"ref": "abinesh100/easy-download-images-in-25-lines-py3", "kernel_id": "693977"}, {"ref": "lyakaap/fast-resized-image-download-python-3", "kernel_id": "666987"}, {"ref": "wolfgangb33r/quick-and-simple-download-script", "kernel_id": "938558"}, {"ref": "wolfgangb33r/some-first-analysis", "kernel_id": "919199"}, {"ref": "wolfgangb33r/landmark-recognition-train-a-first-keras-model", "kernel_id": "927332"}, {"ref": "shubhamcagel/python3-dataset-downloader-with-progress-bar", "kernel_id": "647290"}, {"ref": "shubhamcagel/python3-code-for-downloading-images-from-data", "kernel_id": "647291"}, {"ref": "jb1544/basic-exploratory-analysis", "kernel_id": "973402"}, {"ref": "fehyjn/create-indexes-with-downloaded-images-only", "kernel_id": "651227"}, {"ref": "tobwey/landmark-recognition-challenge-image-downloader", "kernel_id": "588012"}, {"ref": "diehumblex/simple-image-downloader-original-resolution", "kernel_id": "828493"}, {"ref": "amardeepbansal/gimagerecognigtion", "kernel_id": "808273"}, {"ref": "ericbenhamou/sub-directories-for-keras-flow-from-directory", "kernel_id": "976975"}, {"ref": "johnhsweeney/thinking-through-the-glrc-part-3", "kernel_id": "960008"}, {"ref": "johnhsweeney/thinking-through-the-glrc-part-2", "kernel_id": "925198"}, {"ref": "johnhsweeney/thinking-through-the-glrc-part-1", "kernel_id": "919860"}, {"ref": "yehonatanliron/create-a-mini-set-of-data-of-popular-landmarks", "kernel_id": "961516"}, {"ref": "vishalag/resnet50-first-attempt-for-large-dataset", "kernel_id": "994322"}, {"ref": "kmader/tensorflow-hub-for-scene-recognition", "kernel_id": "1388161"}, {"ref": "varshneydevansh/google-landscape-recognition-exploring-data-set", "kernel_id": "1076492"}, {"ref": "carloskl12/feature-extraction-and-matching", "kernel_id": "1570957"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "elitcohen/dataset-to-tfrecords-in-s3", "kernel_id": "3294204"}, {"ref": "profcarlosdelfino/fast-resized-image-download-python-3", "kernel_id": "9047330"}, {"ref": "abhishektyagi001/landmark-recognition-challenge", "kernel_id": "11856837"}, {"ref": "eric19991/fork-of-3-gap-metric-done-for-cas0-landmark-dfn-sl", "kernel_id": "43173845"}, {"ref": "ayushdattajaiswal/image-feature-extraction-and-matching-for-newbies", "kernel_id": "45347855"}]}
{"competition_id": "7457", "kernels": []}
{"competition_id": "7463", "kernels": []}
{"competition_id": "7466", "kernels": []}
{"competition_id": "7468", "kernels": []}
{"competition_id": "7478", "kernels": []}
{"competition_id": "7497", "kernels": []}
{"competition_id": "7506", "kernels": []}
{"competition_id": "7516", "kernels": [{"ref": "abhishek/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "411378"}, {"ref": "markhneedham/a-multi-class-classification-ensemble", "kernel_id": "485955"}, {"ref": "macsdev/genderdiscrimination", "kernel_id": "411701"}, {"ref": "tomkealy/text-understanding-from-scratch", "kernel_id": "437577"}, {"ref": "lassehjorthmadsen/exploring-spooky-features", "kernel_id": "485159"}, {"ref": "dex314/spooky-lgb-pipeline-sklearn-features", "kernel_id": "409790"}, {"ref": "sudalairajkumar/simple-feature-engg-notebook-spooky-author", "kernel_id": "408432"}, {"ref": "birch95768/spooky-verses-and-semantic-matching", "kernel_id": "408239"}, {"ref": "ambarish/tutorial-detailed-spooky-fun-eda-and-modelling", "kernel_id": "408524"}, {"ref": "sinaasappel/spooky-word-frequencies-using-tidytext", "kernel_id": "422612"}, {"ref": "loveall/spooky-nlp-and-topic-modelling-tutorial", "kernel_id": "410030"}, {"ref": "loveall/approaching-almost-any-nlp-problem-on-kaggle-gk", "kernel_id": "431925"}, {"ref": "selfishgene/generating-sentences-one-letter-at-a-time", "kernel_id": "424031"}, {"ref": "autokad/using-pos-and-markov-chains", "kernel_id": "435114"}, {"ref": "thomastilli/simple-naive-bayes-classier-0-34974-on-lb", "kernel_id": "413245"}, {"ref": "ranjanpiyush/words-that-make-you-unique", "kernel_id": "414456"}, {"ref": "kashnitsky/vowpal-wabbit-tutorial-blazingly-fast-learning", "kernel_id": "458088"}, {"ref": "cgump3rt/spooky-eda", "kernel_id": "411339"}, {"ref": "opanichev/handcrafted-features", "kernel_id": "410111"}, {"ref": "prakashpvss/simple-word-count-classifier", "kernel_id": "468109"}, {"ref": "prakashpvss/fork-of-meta-features-for-classification", "kernel_id": "468673"}, {"ref": "knowledgegrappler/embeddings-features-tdf-idf-let-s-party", "kernel_id": "410988"}, {"ref": "scirpus/spooky-gp-clustering", "kernel_id": "413251"}, {"ref": "ayusov/spooky-author-bag-of-words-in-r", "kernel_id": "444319"}, {"ref": "behrica/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "446436"}, {"ref": "phoenix120/lstm-sentence-embeddings-with-additional-features", "kernel_id": "412498"}, {"ref": "abhikbanerjee/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "411493"}, {"ref": "baghern/a-deep-dive-into-sklearn-pipelines", "kernel_id": "415332"}, {"ref": "maheshdadhich/creative-feature-engineering-lb-0-35", "kernel_id": "413433"}, {"ref": "jayjay75/text2vec-glmnet", "kernel_id": "410763"}, {"ref": "saigonapps/linguistic-structure-is-back-pos", "kernel_id": "412948"}, {"ref": "satadru5/details-spooky-analysis-ml-to-dl-python-tutorial", "kernel_id": "409763"}, {"ref": "sgamez/spooky-eda-and-more", "kernel_id": "418396"}, {"ref": "kamalkishor1991/basic-python-cnn-with-embeddings-42", "kernel_id": "443255"}, {"ref": "jerrythomas/spooks", "kernel_id": "419928"}, {"ref": "nzw0301/simple-keras-fasttext-val-loss-0-31", "kernel_id": "412304"}, {"ref": "loganathanspr/spooky-author-identification-data-visualization", "kernel_id": "410123"}, {"ref": "thepierlo/spooky-authors-do-use-a-similar-vocabulary", "kernel_id": "417549"}, {"ref": "dineshkumarm/classification-with-tensorflow", "kernel_id": "410079"}, {"ref": "dineshkumarm/word2vec-tensorflow", "kernel_id": "410384"}, {"ref": "blackcore/bewitched-xgboost-mystical-features", "kernel_id": "421383"}, {"ref": "ksayantani/find-authors-of-spooky-text", "kernel_id": "482637"}, {"ref": "mageswaran/scikit-tensoflow-models-cookbook", "kernel_id": "409450"}, {"ref": "gyan7611/a-simple-approach-to-the-problem", "kernel_id": "410514"}, {"ref": "emanceau/interpreting-machine-learning-lime-explainer", "kernel_id": "468588"}, {"ref": "morenz/who-wrote-these-horror-stories", "kernel_id": "409956"}, {"ref": "brassmonkey381/spoopy-author-text-generator-tutorial-keras", "kernel_id": "415856"}, {"ref": "marcospinaci/talking-plots-2-adding-grammar", "kernel_id": "442928"}, {"ref": "marcospinaci/0-335-log-loss-in-a-dozen-lines", "kernel_id": "443575"}, {"ref": "mcminnra/naive-bayes-without-a-ml-library", "kernel_id": "411578"}, {"ref": "soyoungkim/identifying-author-using-naive-bayes-classifier", "kernel_id": "408307"}, {"ref": "marijakekic/cnn-in-keras-with-pretrained-word2vec-weights", "kernel_id": "411346"}, {"ref": "skrcode/0-29-public-lb-score-beginner-nlp-tutorial", "kernel_id": "467478"}, {"ref": "skrcode/dummy-kernel", "kernel_id": "467442"}, {"ref": "marcocarnini/feature-engineering-cart-and-random-forest", "kernel_id": "425048"}, {"ref": "marcocarnini/feature-engineering-ii", "kernel_id": "428228"}, {"ref": "marcocarnini/basic-data-exploration", "kernel_id": "413226"}, {"ref": "marcocarnini/feature-engineering-i", "kernel_id": "416439"}, {"ref": "kingjamesjc/text-classification-for-beginner", "kernel_id": "468943"}, {"ref": "phustak/enchanted-ink", "kernel_id": "418517"}, {"ref": "ibadia/good-score-with-simple-classifier", "kernel_id": "455371"}, {"ref": "ibadia/easy-python-tutorial-basic-for-beginner", "kernel_id": "448803"}, {"ref": "stanwar/quick-spook-top-half-20-lines", "kernel_id": "458214"}, {"ref": "donyoe/sentiment-analysis", "kernel_id": "409179"}, {"ref": "wichofer89/end-to-end-dl-lstm-rnn-approach", "kernel_id": "431731"}, {"ref": "rwexler/eda-for-spooky-author-identification", "kernel_id": "407968"}, {"ref": "georsara1/my-lstm-solution-for-spooky-author-identification", "kernel_id": "409966"}, {"ref": "jihyeseo/classify-4-text-nlp", "kernel_id": "958632"}, {"ref": "edhirif/how-the-authors-use-adjectives-nouns-and-verbs", "kernel_id": "416434"}, {"ref": "suyue715/spooky-eda", "kernel_id": "477039"}, {"ref": "suyue715/tfidfvectorizer", "kernel_id": "479184"}, {"ref": "npielawski/simple-scary-solution-multinomial-nb-0-43", "kernel_id": "411431"}, {"ref": "itratrahman/nlp-tutorial-using-python", "kernel_id": "490435"}, {"ref": "coffeepot/spooky-author-identification", "kernel_id": "413797"}, {"ref": "trgosselin14/characterizing-horror-stories-by-author", "kernel_id": "417651"}, {"ref": "anuragmaravi/eda-spooky-author-identification", "kernel_id": "409316"}, {"ref": "nonserial/spooky-author-prediction-xgb", "kernel_id": "422877"}, {"ref": "nonserial/spooky-author-prediction-rf", "kernel_id": "424312"}, {"ref": "johnnyw/nightmare-on-elm-street", "kernel_id": "431149"}, {"ref": "sandipdatta/map-pred-proba-results-to-original-classes", "kernel_id": "712974"}, {"ref": "malina015/certain-data-being-given-spooky-author", "kernel_id": "479406"}, {"ref": "raresbarbantan/one-line-spooky-classifier", "kernel_id": "409433"}, {"ref": "jeru666/my-spooky-notebook", "kernel_id": "433447"}, {"ref": "allank/simple-keras-fasttext-with-increased-training-data", "kernel_id": "423822"}, {"ref": "himako/lb-0-424-naive-lstm-model-and-glove-embeddings", "kernel_id": "413987"}, {"ref": "arthurtok/ghastly-network-and-d3-js-force-directed-graphs", "kernel_id": "427428"}, {"ref": "arthurtok/spooky-nlp-and-topic-modelling-tutorial", "kernel_id": "407871"}, {"ref": "ayaseeli/simple-sklearn", "kernel_id": "453241"}, {"ref": "metadist/work-like-a-pro-with-pipelines-and-feature-unions", "kernel_id": "463257"}, {"ref": "lemur78/classification-4-models-and-simple-eda", "kernel_id": "409417"}, {"ref": "lemur78/find-best-model-type", "kernel_id": "416463"}, {"ref": "lemur78/naive-bayes", "kernel_id": "414799"}, {"ref": "regiso/a-spooky-spooky-lda-topic-model", "kernel_id": "442927"}, {"ref": "regiso/tips-and-tricks-for-building-topic-models-in-r", "kernel_id": "463671"}, {"ref": "wmariusso/basic-naive-bayes-tutorial-pt-br", "kernel_id": "437752"}, {"ref": "dextrousjinx/spooky-sharingan", "kernel_id": "410321"}, {"ref": "bmconrad/spooky-author-prediction-notebook", "kernel_id": "419865"}, {"ref": "abiyug/spooky-nlp-classification", "kernel_id": "430049"}, {"ref": "vonneumann/benchmarking-sklearn-classifiers", "kernel_id": "426610"}, {"ref": "defeater/baseline-horror-what-is-word2vec", "kernel_id": "408890"}, {"ref": "yatishbn/spooky-author-identification-using-navies-bayes", "kernel_id": "409521"}, {"ref": "yatishbn/nlp-tutorial-logi-reg-ensemble-tree-compare", "kernel_id": "409533"}, {"ref": "ngbolin/simple-logistic-regression-model-lb-0-428", "kernel_id": "435700"}, {"ref": "nicapotato/explore-the-spooky-n-grams-wordcloud-bayes", "kernel_id": "420729"}, {"ref": "kanav0183/spooky-halloween-eda-lb-0-6", "kernel_id": "408684"}, {"ref": "just0x1b/graphical-model", "kernel_id": "476596"}, {"ref": "just0x1b/preprocessing", "kernel_id": "505239"}, {"ref": "just0x1b/notebook4ddf97c652", "kernel_id": "505492"}, {"ref": "anurag3753/prediction-naive-bayes-preprocessing-with-gensim", "kernel_id": "413171"}, {"ref": "ayanmaity/spooky-multinomialnb", "kernel_id": "451417"}, {"ref": "ayanmaity/spooky-multinomialnb-from-scratch", "kernel_id": "464722"}, {"ref": "ayanmaity/fork-of-spooky-1", "kernel_id": "424829"}, {"ref": "ayanmaity/fork-of-spooky-2", "kernel_id": "424855"}, {"ref": "ayanmaity/spooky", "kernel_id": "414383"}, {"ref": "antonaks/text-mining-for-spooky-author-identification", "kernel_id": "409990"}, {"ref": "anunay17/logisticregression-0-44039", "kernel_id": "517675"}, {"ref": "anu0012/feature-engineering-tfidfvectorizer", "kernel_id": "371301"}, {"ref": "anu0012/basic-approach-with-neural-network", "kernel_id": "439378"}, {"ref": "anu0012/basic-approach-with-countvectorizer", "kernel_id": "466439"}, {"ref": "yohanb/topic-modeling-spooky-and-messy-lda", "kernel_id": "412336"}, {"ref": "souravroy1/model-only-from-features-and-pattern-in-sentence", "kernel_id": "501304"}, {"ref": "muonneutrino/author-prediction-with-forests-nb-and-topics", "kernel_id": "408723"}, {"ref": "sudhirnl7/simple-naive-bayes-xgboost", "kernel_id": "422742"}, {"ref": "yahyatai/easy-python-tutorial-basic-for-beginner", "kernel_id": "461233"}, {"ref": "kanojiyakavita/author-prediction", "kernel_id": "811386"}, {"ref": "tlegrand/happy-halloween", "kernel_id": "412100"}, {"ref": "honnibal/spacy-builtin-textcat-default", "kernel_id": "466520"}, {"ref": "omiser/names-bigrams-sentiment-and-other-features", "kernel_id": "487831"}, {"ref": "yevhent/keras-lstm-cnn-and-transfer-learning", "kernel_id": "467198"}, {"ref": "eaturner/boo-who-is-it-possible-lb-0-37xx", "kernel_id": "443093"}, {"ref": "headsortails/treemap-house-of-horror-spooky-eda-lda-features", "kernel_id": "407955"}, {"ref": "vuthao/lime-explains-how-ml-models-identify-authors", "kernel_id": "509179"}, {"ref": "thibaultgiordan/text-mining-with-spark", "kernel_id": "490181"}, {"ref": "boltmaud/who-s-the-author-of-this-kernel", "kernel_id": "408171"}, {"ref": "rolandbrand11/na-ve-bayes-for-spooky-author-identification", "kernel_id": "484010"}, {"ref": "meiyizi/spooky-nlp-and-topic-modelling-tutorial", "kernel_id": "573018"}, {"ref": "ebertolo/basic-naive-bayes-tutorial-pt-br", "kernel_id": "437940"}, {"ref": "enerrio/scary-nlp-with-spacy-and-keras", "kernel_id": "409784"}, {"ref": "goodwebb/spooky-eda-chinese-version", "kernel_id": "422394"}, {"ref": "sandpiturtle/eda-fe-nb-xgb", "kernel_id": "420580"}, {"ref": "azmitrok/svc-classifier-for-spooky-author-identification", "kernel_id": "411092"}, {"ref": "juanumusic/to-predict-or-not-to-predict-python-tutorial", "kernel_id": "407901"}, {"ref": "nikilsivakumar/beginner-s-tutorial-python", "kernel_id": "435994"}, {"ref": "sohier/intermediate-tutorial-python", "kernel_id": "417108"}, {"ref": "sohier/how-to-generate-format-a-simple-submission", "kernel_id": "408204"}, {"ref": "brenborbs/spooky-tm-and-polarity-scores", "kernel_id": "459359"}, {"ref": "navinch/interesting-visualizations-lda-word2vec", "kernel_id": "408365"}, {"ref": "maying/bi-lstm-solution", "kernel_id": "454937"}, {"ref": "manishjain15051982/fully-connect-layers-bag-of-words", "kernel_id": "436841"}, {"ref": "vukglisovic/classification-combining-lda-and-word2vec", "kernel_id": "450693"}, {"ref": "rtatman/beginner-s-tutorial-r", "kernel_id": "401106"}, {"ref": "rtatman/beginner-s-tutorial-python", "kernel_id": "401004"}, {"ref": "akhiljain87/extracting-bi-gram-data-for-analysis", "kernel_id": "462621"}, {"ref": "christopher22/stylometry-identify-authors-by-sentence-structure", "kernel_id": "408860"}, {"ref": "rhodiumbeng/identifying-authors-who-wrote-that", "kernel_id": "414324"}, {"ref": "rhodiumbeng/classifying-multi-label-comments-0-9741-lb", "kernel_id": "478135"}, {"ref": "seraybeser/treemap-house-of-horror-spooky-eda-lda-features", "kernel_id": "426366"}, {"ref": "seraybeser/score-0-42-keras-lstm", "kernel_id": "419793"}, {"ref": "mikaelhg/keras-lstm-spooky-classifier", "kernel_id": "411154"}, {"ref": "bsivavenu/lsa-model-on-spooky-author-data", "kernel_id": "407980"}, {"ref": "mahendrasinghmeena/using-embedding-layer", "kernel_id": "425743"}, {"ref": "mahendrasinghmeena/fork-of-using-embedding-layer-87a441", "kernel_id": "427173"}, {"ref": "umerfarooq807/notebook84c2c19653", "kernel_id": "535647"}, {"ref": "knaraghi/character-level-classification-using-cnns", "kernel_id": "438943"}, {"ref": "hravat/spooky-author-classification-notebook2", "kernel_id": "411950"}, {"ref": "hravat/spooky-author-classification-notebook1-stuck", "kernel_id": "409627"}, {"ref": "hravat/spooky-author-classification-on-neural-network", "kernel_id": "457662"}, {"ref": "srkirkland/author-identification-with-tensorflow", "kernel_id": "415250"}, {"ref": "paultimothymooney/identify-sentence-author-keras-plotly", "kernel_id": "440191"}, {"ref": "tisho1313/pos-tagged-features", "kernel_id": "486191"}, {"ref": "arnabd2002/spookyauthorprediction-attempt", "kernel_id": "410056"}, {"ref": "nathanielysee/bayesian-networks-for-author-identification", "kernel_id": "481570"}, {"ref": "forsooth/nlp-with-h2o-ai-tidytext-and-tidyverse", "kernel_id": "410182"}, {"ref": "fracturedencoding/a-beginner-s-attempt-using-sklearn", "kernel_id": "428868"}, {"ref": "joansolcom/task-context-approach-and-framework-description", "kernel_id": "409141"}, {"ref": "lalitparihar44/detailed-text-based-feature-engineering", "kernel_id": "441326"}, {"ref": "ttetls/a-gentle-mathematical-approach-to-spooky-en-fr", "kernel_id": "436059"}, {"ref": "sarathydw/5-day-data-challenge-day-1-of-5", "kernel_id": "471154"}, {"ref": "jinsooyeo/author-identification-using-toronto-book-corpus", "kernel_id": "445948"}, {"ref": "jratchford/sa-nlp-humauto-lowdata", "kernel_id": "424628"}, {"ref": "lihongfei/generating-sentences-one-letter-at-a-time", "kernel_id": "449356"}, {"ref": "hagaryungman/fix-first-version", "kernel_id": "756828"}, {"ref": "fibonacci3/function-vs-rare-words-classifier", "kernel_id": "460174"}, {"ref": "tomgglynnejones/logistic-regression-models-with-1-and-2-grams", "kernel_id": "483836"}, {"ref": "limitpointinf0/sentiment-and-naive-bayes", "kernel_id": "988484"}, {"ref": "antmarakis/word-count-and-naive-bayes", "kernel_id": "666217"}, {"ref": "areeves87/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "1983454"}, {"ref": "kashnitsky/topic-8-online-learning-and-vowpal-wabbit", "kernel_id": "1214556"}, {"ref": "daiearth22/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "1836597"}, {"ref": "ganeshn88/faster-nlp-with-spacy-in-python", "kernel_id": "1833887"}, {"ref": "nafisur/names-bigrams-sentiment-and-other-features", "kernel_id": "1352877"}, {"ref": "pritambar/multiclass-classification-naive-bayes", "kernel_id": "1193134"}, {"ref": "rdcmdev/spooky-author-with-markov-chain", "kernel_id": "1013393"}, {"ref": "kartiksharma522/spooky-author-text-generation", "kernel_id": "1836991"}, {"ref": "shivamb/bot-generated-baseline-kernel-id-18345", "kernel_id": "1540033"}, {"ref": "aditya094/countvectorizer-datacleaning-82-accuracy", "kernel_id": "1007537"}, {"ref": "zikazika/tutorial-on-topic-modelling-lda-nlp", "kernel_id": "1858272"}, {"ref": "zhoulingyan0228/spooky-nlp-fasttext-cnn", "kernel_id": "1372468"}, {"ref": "zhoulingyan0228/spooky-author-id-simple-models-on-word-count", "kernel_id": "1368075"}, {"ref": "pavansn1/nlp-tutorial-using-python-spooky-author", "kernel_id": "2986612"}, {"ref": "mjnirale/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "2135500"}, {"ref": "uchicago2018/naive-bayes-with-term-frequency-matrix-tf-idf", "kernel_id": "2790215"}, {"ref": "ratnesh88/find-authors-using-nlp", "kernel_id": "2556218"}, {"ref": "anebzt/nlp-tutorial", "kernel_id": "2032090"}, {"ref": "ebertolo/workshop02-simple-keras-fasttext", "kernel_id": "2251322"}, {"ref": "abefukasawa/scary-nlp-with-spacy-and-keras", "kernel_id": "2102300"}, {"ref": "shaz13/spooky-author-identification-bert", "kernel_id": "2528770"}, {"ref": "frankkloster/exploratory-data-analysis", "kernel_id": "2333257"}, {"ref": "saswataroy09/a-beginner-s-journey-to-classify-spooky-authors", "kernel_id": "2915329"}, {"ref": "rihadv/intermediate-tutorial-python", "kernel_id": "2160788"}, {"ref": "rihadv/beginner-s-tutorial-python", "kernel_id": "2160097"}, {"ref": "shaz13/revised-base-models-in-pytorch-notebook", "kernel_id": "3974927"}, {"ref": "rhodiumbeng/generate-word2vec-word-embeddings", "kernel_id": "3969515"}, {"ref": "hansonnn/spooky-bayes", "kernel_id": "3869400"}, {"ref": "ab971631/beginners-guide-to-text-generation-pytorch", "kernel_id": "3838703"}, {"ref": "dharit/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "3458789"}, {"ref": "dharit/identify-sentence-author-keras-plotly", "kernel_id": "3458819"}, {"ref": "lsjsj92/spooky-nlp-eda-keras-lstm", "kernel_id": "3304038"}, {"ref": "savannahar/getting-started-with-nlp", "kernel_id": "3133405"}, {"ref": "amosroei/word-count-ratio-and-difference-by-author", "kernel_id": "3332653"}, {"ref": "wei14cheng/nlp-final-project", "kernel_id": "3758920"}, {"ref": "saranyashalya/spooky-nlp-and-topic-modelling-tutorial", "kernel_id": "4558580"}, {"ref": "kunalchamoli/spooky-author-identification", "kernel_id": "4762083"}, {"ref": "aroragarima/business-data-mining", "kernel_id": "4971976"}, {"ref": "duykhanh99/nautral-language-processing-tutorial-for-beginner", "kernel_id": "4796690"}, {"ref": "ma7555/simple-and-short-classification-naive-bayes", "kernel_id": "4161370"}, {"ref": "heshamasem/spooky-classification-for-3-authors", "kernel_id": "5677074"}, {"ref": "sachinrastogi/spooky-nlp-and-topic-modelling-tutorial", "kernel_id": "5841646"}, {"ref": "aminyakubu/approaching-nlp-problem", "kernel_id": "5663372"}, {"ref": "trunghieu11/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "6451294"}, {"ref": "saranyashalya/e2e-text-multiclass-classification", "kernel_id": "6526113"}, {"ref": "guidosalimbeni/feature-extraction-from-text", "kernel_id": "6517425"}, {"ref": "guidosalimbeni/multinomial-naive-bayes", "kernel_id": "6516958"}, {"ref": "guidosalimbeni/recurrent-neural-network-on-text", "kernel_id": "6608270"}, {"ref": "gooogr/a-deep-dive-into-sklearn-pipelines-forked", "kernel_id": "6716285"}, {"ref": "manohar676/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "6340647"}, {"ref": "srinivasav22/spooky-nlp-and-topic-modelling-tutorial", "kernel_id": "7844060"}, {"ref": "anurag899/simple-lstm-implementation-keras", "kernel_id": "8289772"}, {"ref": "maunish/nlp-challenge-part-1", "kernel_id": "8962183"}, {"ref": "manishachakraborty/spooky", "kernel_id": "8086207"}, {"ref": "cindyshin/kor-spooky-nlp-and-topic-modelling-tutorial", "kernel_id": "8662053"}, {"ref": "cindyshin/kor-beginner-s-tutorial-python", "kernel_id": "8659668"}, {"ref": "djohn8/nlp-spooky-author-identification", "kernel_id": "9791342"}, {"ref": "shashankhs/nlp-author-identification-project", "kernel_id": "9212378"}, {"ref": "ravijoe/finding-spooky-author-names-using-tfidf-count-vec", "kernel_id": "9289163"}, {"ref": "akashtyagi08/collection-of-multiple-basic-approaches", "kernel_id": "9169670"}, {"ref": "maunish/nlp-challange-part3", "kernel_id": "9037790"}, {"ref": "maunish/nlp-challenge-part-2", "kernel_id": "9019045"}, {"ref": "kidoen/deepnlp-bilstm", "kernel_id": "9653989"}, {"ref": "nikithasrikanth/authorship-attribution-using-three-methods", "kernel_id": "9968349"}, {"ref": "polodolo/severaltest", "kernel_id": "9801726"}, {"ref": "dariacherbaeva/kernel59a233525b", "kernel_id": "9891945"}, {"ref": "dariacherbaeva/daria-cherbaeva-11-805", "kernel_id": "9909354"}, {"ref": "anubhavkaushik/spooky-author-recognition-notebook", "kernel_id": "9892269"}, {"ref": "evelinakarimova/lstm-try-2", "kernel_id": "9934848"}, {"ref": "knucksie/kernel15951d1727", "kernel_id": "9968066"}, {"ref": "maximpetrov11811/kernel1242cdb321", "kernel_id": "9990296"}, {"ref": "nikitaluzhbin/kernelaee28696a4", "kernel_id": "9990455"}, {"ref": "odedgolden/spooky-authors-analysis", "kernel_id": "10884502"}, {"ref": "hu18838965591/kernel-spooky", "kernel_id": "10553837"}, {"ref": "raj26000/spooky-author-identification-using-bi-lstm-tfidf", "kernel_id": "10327453"}, {"ref": "vchauhanusf/nlp-for-beginners-with-explainations", "kernel_id": "10185723"}, {"ref": "muhammedabdulazeem/all-nlp-basics", "kernel_id": "10158461"}, {"ref": "pawan2905/spooky-nlp", "kernel_id": "11250854"}, {"ref": "snanilim/nlp-and-topic-modelling-spooky", "kernel_id": "11286991"}, {"ref": "vishynair/trying-out-the-nlp-profiler", "kernel_id": "11577649"}, {"ref": "vishynair/zipf-s-law-validation-with-word-frequency", "kernel_id": "11491052"}, {"ref": "awesomehidingspot/my-first-kaggle-nlp-notebook", "kernel_id": "11643997"}, {"ref": "hiro1005/spooky-author-identification-with-nlp", "kernel_id": "12062189"}, {"ref": "sangyunkang/preprocess-text-data-with-texthero", "kernel_id": "12215937"}, {"ref": "elhamnad/nlp-problem-on-kaggle", "kernel_id": "12566778"}, {"ref": "rumasinha/topic-modelling-with-lda", "kernel_id": "13509981"}, {"ref": "nicapotato/spooky-authors-keras-transformers", "kernel_id": "13660413"}, {"ref": "nicapotato/bert-for-spooky-author-identification", "kernel_id": "13471745"}, {"ref": "nicapotato/spooky-simple-bert", "kernel_id": "13600335"}, {"ref": "jhotor/spooky-classification-albert", "kernel_id": "13782706"}, {"ref": "gustavomodelli/keras-model-conv-1d", "kernel_id": "13755391"}, {"ref": "kvapta/nlp-and-topic-modelling", "kernel_id": "13378899"}, {"ref": "kasmithh/author-identification-data-view", "kernel_id": "14061113"}, {"ref": "kaushikjagini/feature-union-pipeline-spooky-author", "kernel_id": "14201728"}, {"ref": "yusufchabuk/who-s-scaring-us-now", "kernel_id": "14234292"}, {"ref": "dikshabhati2002/topic-modeling-lda", "kernel_id": "14812575"}, {"ref": "yassinehamdaoui1/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "15479499"}, {"ref": "serkankaanbahsi/trying-different-models", "kernel_id": "15019180"}, {"ref": "jnegrini/spooky-authors-nlp", "kernel_id": "16157167"}, {"ref": "gunner25/foxford-almost-any-nlp-problem-on-kaggle", "kernel_id": "16557234"}, {"ref": "vinayharyan/learn-nlp-approaching-any-nlp-problem", "kernel_id": "16833047"}, {"ref": "nikhilthakur2311/spooky-authors", "kernel_id": "17990931"}, {"ref": "kbp0237/spooky-nlp-tutorial-3-srk-kor-ver", "kernel_id": "18938606"}, {"ref": "kbp0237/spooky-nlp-tutorial-1-anisotropic-kor-ver", "kernel_id": "18827684"}, {"ref": "zhuochengyao/writers", "kernel_id": "18572136"}, {"ref": "juberto/spooky-authors", "kernel_id": "18227057"}, {"ref": "jubertocarvalho/who-s-scaring-us-now", "kernel_id": "18309607"}, {"ref": "hanminghu/lstm-author-prediction", "kernel_id": "18573291"}, {"ref": "kedarnath07/topic-modelling", "kernel_id": "20316453"}, {"ref": "raj26000/pytorch-author-identification-using-deberta-v3", "kernel_id": "21938272"}, {"ref": "bhavinmoriya/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "21504702"}, {"ref": "kigett/author-identification-nltk-naive-bayes", "kernel_id": "24263388"}, {"ref": "kbp0237/fork-of-spooky-nlp-tutorial-2-abhishek-thakur-ko", "kernel_id": "24376884"}, {"ref": "dmid2qwde/cyberbullying-tweets-classification-beginner", "kernel_id": "24314295"}, {"ref": "avk256/lab1-ex", "kernel_id": "25893028"}, {"ref": "avk256/lab2-ex", "kernel_id": "25992046"}, {"ref": "jhotor/catbooooostclassifier", "kernel_id": "26435155"}, {"ref": "dencho143/barykin-lab1", "kernel_id": "27398025"}, {"ref": "olialutaieva/lutaievalab1-dl", "kernel_id": "27634974"}, {"ref": "harygary/lazko-lab1", "kernel_id": "28041384"}, {"ref": "nnjjpp/author-identification-statistical-nlp", "kernel_id": "32274230"}, {"ref": "bhavidave/nlp-multiclass", "kernel_id": "32368993"}, {"ref": "aesynae/tweets-by-gender-and-sex", "kernel_id": "32321185"}, {"ref": "frraroua/notebook42b07e16ec", "kernel_id": "35682355"}, {"ref": "frraroua/word2vec-lr", "kernel_id": "35686327"}, {"ref": "frraroua/glove", "kernel_id": "35687724"}, {"ref": "annapoornimas/spooky-nlp-tutorial-3-final", "kernel_id": "36209869"}, {"ref": "gtyptest/lab1-kryvohljabov", "kernel_id": "37406047"}, {"ref": "gtyptest/lab6-v1", "kernel_id": "37405847"}, {"ref": "slawagrechaniy/grechaniy-laba6", "kernel_id": "37686317"}, {"ref": "jacks53465835/lab-6", "kernel_id": "37697227"}, {"ref": "rockiknow/ivanov-da-1-foruny", "kernel_id": "37987153"}, {"ref": "rockiknow/ivanov-da-3-foruny", "kernel_id": "37988500"}, {"ref": "nikitanazarov31/word-preproces", "kernel_id": "37976638"}, {"ref": "nikitanazarov31/lab1-exw", "kernel_id": "37974844"}, {"ref": "olehnovikov/novikov-6", "kernel_id": "37988474"}, {"ref": "ozgurbayram00/spooky-similarity-detection-with-word2vec", "kernel_id": "38280456"}, {"ref": "sugataghosh/spooky-author-identification-glove-lstm", "kernel_id": "38437394"}, {"ref": "alekseyantonov/neironni-antonov-lab6", "kernel_id": "38864918"}, {"ref": "sabahesaraki/spooky-author-identification-wordcloud-word2vec", "kernel_id": "38524167"}, {"ref": "sabahesaraki/spooky-author-identification-keras", "kernel_id": "38557347"}, {"ref": "arthurmatsidonskiy/nltk-lab-6", "kernel_id": "38299012"}, {"ref": "cabna228/lab6-nm", "kernel_id": "38740558"}, {"ref": "olegbw/nltk-lab6", "kernel_id": "38057840"}, {"ref": "ivangavrish/text-preprocessing-for-nlp", "kernel_id": "38191719"}, {"ref": "jacks53465835/labs-6", "kernel_id": "38346380"}, {"ref": "worldspam/labor6", "kernel_id": "38062420"}, {"ref": "honigwein/lab-6", "kernel_id": "38537567"}, {"ref": "jlallyx/lab-6", "kernel_id": "38592962"}, {"ref": "fdddddfs/lab-6", "kernel_id": "38811404"}, {"ref": "vladkabanov/kabanov-laba6", "kernel_id": "38417419"}, {"ref": "lonsyyy/lab6-petrushenko", "kernel_id": "38914148"}, {"ref": "ivankozlovsky/kozlovsky-lab6", "kernel_id": "38064697"}, {"ref": "bogdankovbasa/lab6-kovbasa", "kernel_id": "38868632"}, {"ref": "dragonlastone/ben-laba6", "kernel_id": "38160777"}, {"ref": "uuppoo/neunet6", "kernel_id": "38801891"}, {"ref": "daniilpastuhov/lab-6", "kernel_id": "38611843"}, {"ref": "yevheniirybas/lab-6", "kernel_id": "38612439"}, {"ref": "danilovdanil/lab-6", "kernel_id": "38731909"}, {"ref": "muradicus/murad-laba6", "kernel_id": "38753203"}, {"ref": "polina464746/notebook953b1db34e", "kernel_id": "39551645"}, {"ref": "moonangel007/notebook1b7d598968", "kernel_id": "39370864"}, {"ref": "dima46456/notebookc6124b5214", "kernel_id": "39551161"}, {"ref": "suraj520/megatronbert-lb-0-346-2-epoch-know-train", "kernel_id": "40109338"}, {"ref": "yanettcv/learning-approaching-almost-any-nlp-problem", "kernel_id": "41542076"}, {"ref": "chatterbird/spooky-course-work", "kernel_id": "41314569"}, {"ref": "kaushalchoudhary/approaching-a-nlp-problem-on-kaggle", "kernel_id": "42713676"}, {"ref": "thirumalaikg/student-performance-prediction-sna", "kernel_id": "42851263"}, {"ref": "arcielbaez/spooky-nlp-and-topic-modelling-tutorial", "kernel_id": "42785134"}, {"ref": "vladty45674/notebook45f592993f", "kernel_id": "42669701"}, {"ref": "rahulprasannats/student-performance-prediction-sna", "kernel_id": "43295145"}, {"ref": "satwikvbolar/political-social-media-posts-analyis-snaassignment", "kernel_id": "43285037"}, {"ref": "jaymanvirk/fine-tuning-logreg-rf-nb-svm-and-xgboost", "kernel_id": "44361154"}, {"ref": "basmalamoustafa/word-vectoring", "kernel_id": "44562228"}, {"ref": "troubaj/zipf-s-law-validation-with-word-frequency", "kernel_id": "46159908"}, {"ref": "anamariamidoripreda/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "47743837"}, {"ref": "archit6t5t/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "47226976"}, {"ref": "gtyptest/lab3-kryvohljabov", "kernel_id": "51640232"}, {"ref": "gtyptest/lab2-kryvohljabov", "kernel_id": "51636468"}, {"ref": "ashaytaksande/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "51081247"}, {"ref": "olegwww/lab6-ex", "kernel_id": "53388835"}, {"ref": "louskil/lab6-bikulov", "kernel_id": "53349841"}, {"ref": "zarubinartem/lab6-zarubin", "kernel_id": "54680555"}, {"ref": "anastasiyakr/example-for-lab-8", "kernel_id": "55272722"}, {"ref": "misterelias/kostiuk-lr6", "kernel_id": "55376679"}, {"ref": "grishanovnn/grishanovlab6", "kernel_id": "55267881"}, {"ref": "artemmishchenko/nnlab-6-mishchenko", "kernel_id": "55899778"}, {"ref": "dmitrokondratenko/notebook70839dbb9a", "kernel_id": "55846551"}, {"ref": "mushket1/lab6-ex", "kernel_id": "55207092"}, {"ref": "shakhauat/spooky-author-identification-2024", "kernel_id": "56770651"}, {"ref": "honigwein/lab-01-koshelev", "kernel_id": "56020064"}, {"ref": "marcocat/author-idntification-glove-lstm", "kernel_id": "58088507"}, {"ref": "soffianooraisyah/author-idntification-glove-lstm", "kernel_id": "58153042"}, {"ref": "sukanto/spooky-author", "kernel_id": "59333392"}, {"ref": "sarvenazchaeibakhsh/logistic-regression-w-multiple-features-spooky", "kernel_id": "64243334"}, {"ref": "nazar4633/lab-06", "kernel_id": "64952798"}, {"ref": "supakarn01/spooky-project-lstm", "kernel_id": "67268712"}, {"ref": "alexanderkireev/03-ml-trainings-nlp", "kernel_id": "69353449"}, {"ref": "alexanderkireev/04-ml-trainings-nlp", "kernel_id": "70487269"}, {"ref": "jeonjehoo/2nd-1week-kaggle-study", "kernel_id": "70237284"}, {"ref": "hyunjusung/season2-phase1-mclassification", "kernel_id": "70933949"}, {"ref": "fcojavierdavila/kata-spooky-nb", "kernel_id": "70338948"}, {"ref": "alexokseschenko/lab-6", "kernel_id": "70789410"}, {"ref": "nayubin/bert-spooky-nlp-and-topic-modeling", "kernel_id": "72550174"}, {"ref": "nayubin/ml-spooky-nlp-and-topic-modeling", "kernel_id": "72884874"}, {"ref": "overstarjalmazmo/nlp-spooky-author-identification", "kernel_id": "81700308"}, {"ref": "jaruser/nnlab-6", "kernel_id": "81877699"}, {"ref": "khgb123/approaching-almost-any-nlp-problem-on-kaggle", "kernel_id": "83699781"}, {"ref": "nagaprasadk/k-means-and-topic-modelling", "kernel_id": "85607144"}, {"ref": "pranithchowdary/composite-estimators-using-pipeline-featureunion", "kernel_id": "86136396"}, {"ref": "w0ns0nd/lab-6", "kernel_id": "90312162"}, {"ref": "njuspy/spooky-author-identification", "kernel_id": "91089123"}, {"ref": "patrickckay/spooky-author-pyspark-practice", "kernel_id": "92853782"}, {"ref": "madisrinija/spooky-author-identification", "kernel_id": "97512108"}, {"ref": "artemiip/pylypenko-lab-6", "kernel_id": "116306566"}, {"ref": "sen231/lab6-selyavin", "kernel_id": "117129636"}]}
{"competition_id": "7525", "kernels": []}
{"competition_id": "7529", "kernels": []}
{"competition_id": "7540", "kernels": []}
{"competition_id": "7555", "kernels": []}
{"competition_id": "7558", "kernels": []}
{"competition_id": "7559", "kernels": [{"ref": "domcastro/version-24", "kernel_id": "487286"}, {"ref": "assumednormal/007-bigrams-keras-2-layers", "kernel_id": "568694"}, {"ref": "assumednormal/005-bigrams-rf", "kernel_id": "565762"}, {"ref": "assumednormal/006-bigrams-keras", "kernel_id": "566655"}, {"ref": "assumednormal/001-train-mean", "kernel_id": "561111"}, {"ref": "assumednormal/002-shipping-linear-model", "kernel_id": "561145"}, {"ref": "assumednormal/003-shipping-and-item-condition-linear-model", "kernel_id": "561183"}, {"ref": "assumednormal/004-count-vectorizer-lasso", "kernel_id": "562765"}, {"ref": "lopuhin/eli5-for-mercari", "kernel_id": "495953"}, {"ref": "lopuhin/cython-example", "kernel_id": "470814"}, {"ref": "lopuhin/mercari-golf-0-3875-cv-in-75-loc-1900-s", "kernel_id": "674730"}, {"ref": "faizalabdkadir/work-in-progress-eda", "kernel_id": "451070"}, {"ref": "anttip/wordbatch-ftrl-fm-lgb-lbl-0-42555", "kernel_id": "533261"}, {"ref": "lclpku/baseline1", "kernel_id": "462765"}, {"ref": "preeth/bike-share-analysis", "kernel_id": "447705"}, {"ref": "nishkgp/more-improved-ridge-2-lgbm", "kernel_id": "514202"}, {"ref": "niclasko/mercari-item-description-word2vec-embeddings-eda", "kernel_id": "583484"}, {"ref": "lawrencechernin/xgb-more-rounds", "kernel_id": "447426"}, {"ref": "lawrencechernin/rf-kernel", "kernel_id": "448697"}, {"ref": "lawrencechernin/rf-version3", "kernel_id": "448950"}, {"ref": "martinellis/xgboost-for-prediction-log-space-reduction-fork", "kernel_id": "464094"}, {"ref": "kailex/r-oneliner", "kernel_id": "614601"}, {"ref": "danielmarahrens/mercadi-baseline", "kernel_id": "570483"}, {"ref": "sherrycs/maolh", "kernel_id": "504812"}, {"ref": "ceshine/fork-second-place-solution", "kernel_id": "693221"}, {"ref": "ceshine/fork-of-mercari-golf-0-3875-cv-in-75-loc-1900-s", "kernel_id": "684992"}, {"ref": "agrigorev/external-library-ftrl-3-min-0-45", "kernel_id": "525835"}, {"ref": "agrigorev/tensorflow-starter-conv1d-embeddings-0-442-lb", "kernel_id": "517784"}, {"ref": "danofer/mercari-copycat", "kernel_id": "514332"}, {"ref": "parkyy/eda-for-mercari-price-suggestion", "kernel_id": "545177"}, {"ref": "parkyy/linear-mixed-effect-model-for-prediction", "kernel_id": "551617"}, {"ref": "loveall/rnn-gru-with-keras-512-64-relu-0-43758-139ff6", "kernel_id": "507223"}, {"ref": "mchahhou/mercari-second-place-solution", "kernel_id": "646570"}, {"ref": "mchahhou/second-place-solution", "kernel_id": "685823"}, {"ref": "saitoxu/mean-price", "kernel_id": "844771"}, {"ref": "renuk16/mercari-final-submission", "kernel_id": "677169"}, {"ref": "pavel26/notebookb2e0ebdd78", "kernel_id": "558571"}, {"ref": "toshik/test-60", "kernel_id": "628350"}, {"ref": "toshik/import-pyfasttext", "kernel_id": "536676"}, {"ref": "toshik/numpy-link-to-intel-mkl-scipy-link-to-openblas", "kernel_id": "521798"}, {"ref": "toshik/generate-simulated-test-data-for-2nd-stage", "kernel_id": "525592"}, {"ref": "pankajkumar/code-practice", "kernel_id": "553858"}, {"ref": "peterhurford/lgb-and-fm-18th-place-0-40604", "kernel_id": "641323"}, {"ref": "peterhurford/lightgbm-baseline", "kernel_id": "450919"}, {"ref": "peterhurford/benchmarking-ridge", "kernel_id": "480908"}, {"ref": "peterhurford/simulating-memory-usage-and-timing-for-stage-2", "kernel_id": "479223"}, {"ref": "hireme/boost-catboost-feature-engineering", "kernel_id": "446979"}, {"ref": "whammy1106/notebookc0302c7b8d", "kernel_id": "559602"}, {"ref": "afetisov/mercari-ensemble-regression-hw8", "kernel_id": "512959"}, {"ref": "gspmoreira/cnn-glove-single-model-private-lb-0-41117-35th", "kernel_id": "719842"}, {"ref": "bguberfain/naive-catboost", "kernel_id": "446832"}, {"ref": "knowledgegrappler/a-simple-nn-solution-with-keras-0-48611-pl", "kernel_id": "449732"}, {"ref": "thomasseleck/script-16-adding-features", "kernel_id": "629853"}, {"ref": "scirpus/very-simple", "kernel_id": "457849"}, {"ref": "tezdhar/kerasfm", "kernel_id": "642855"}, {"ref": "tezdhar/nnet-v1001-attention-dbbd10", "kernel_id": "682837"}, {"ref": "tezdhar/tf-conv1d-tf-fasttext", "kernel_id": "682841"}, {"ref": "baghern/bayesian-optimization-of-ridge-model-0-478", "kernel_id": "578962"}, {"ref": "maheshdadhich/i-will-sell-everything-for-free-0-55", "kernel_id": "446909"}, {"ref": "bertcarremans/data-exploration", "kernel_id": "458125"}, {"ref": "bertcarremans/head-in-the-clouds", "kernel_id": "453203"}, {"ref": "axelderomblay/running-mlbox-auto-ml-package-mercari", "kernel_id": "450347"}, {"ref": "n0rdic/mercari-xgb-simple-solution", "kernel_id": "559604"}, {"ref": "rdizzl3/stage-2-lgbm-stacker-8th-place-solution", "kernel_id": "676867"}, {"ref": "shikhar1/base-random-forest-lb-532", "kernel_id": "448007"}, {"ref": "asi1007/predict-by-shipping-flag", "kernel_id": "515226"}, {"ref": "danielsobrado/weighted-ensemble-ridge-2-lgbm-lb-0-44206", "kernel_id": "468192"}, {"ref": "vanausloos/lb-0-42342-top-11", "kernel_id": "629609"}, {"ref": "anubhavbhardwaj/notebook8fae100d19", "kernel_id": "455736"}, {"ref": "fangwc1226/pandas-dummy", "kernel_id": "489728"}, {"ref": "valkling/mercari-rnn-2ridge-models-with-notes-0-42755", "kernel_id": "555364"}, {"ref": "bongster21/eric-s-first-trial", "kernel_id": "519859"}, {"ref": "chikenfeet/1xridge-1xlgbm-fea-combine-2", "kernel_id": "521363"}, {"ref": "blackcore/rnn-ridge-script-for-solving-mercari-challenge", "kernel_id": "664981"}, {"ref": "riccardonizzolo/wordbatch-fm-na", "kernel_id": "572702"}, {"ref": "sionek/rf-kernel-x3", "kernel_id": "448831"}, {"ref": "sionek/2-ridge-2-lgbm", "kernel_id": "547818"}, {"ref": "tarunad/41-lb-fire", "kernel_id": "657959"}, {"ref": "jszymczak/final-submission-no1", "kernel_id": "644943"}, {"ref": "jszymczak/bullet-proof-stable-solution-with-chunked-test", "kernel_id": "648391"}, {"ref": "jszymczak/brand-levenshtein-transformer", "kernel_id": "650121"}, {"ref": "adityavcse/mercari-simple-rf-regressor", "kernel_id": "465352"}, {"ref": "nareshsrikakulapu/mer-xgboost-log", "kernel_id": "593850"}, {"ref": "nareshsrikakulapu/sub-mean", "kernel_id": "591176"}, {"ref": "nareshsrikakulapu/sub-median", "kernel_id": "591222"}, {"ref": "nareshsrikakulapu/cross-validation-with-pipelines-feature-union", "kernel_id": "619754"}, {"ref": "captcalculator/hey-automl-do-my-job-for-me", "kernel_id": "448910"}, {"ref": "captcalculator/a-very-extensive-mercari-exploratory-analysis", "kernel_id": "448689"}, {"ref": "captcalculator/catboost-naive-no-text", "kernel_id": "454995"}, {"ref": "dkoops/mercari-v2-0", "kernel_id": "539761"}, {"ref": "ferodia/mercari-challenge-price-estimation", "kernel_id": "495460"}, {"ref": "apapiu/ridge-script", "kernel_id": "447823"}, {"ref": "miemiekurisu/test1", "kernel_id": "510876"}, {"ref": "obi1992/xgboost-3", "kernel_id": "456406"}, {"ref": "obi1992/ensemble-rnn-wordbatch-linear-model", "kernel_id": "545602"}, {"ref": "t35khan/tfidf-driven-xgboost", "kernel_id": "605483"}, {"ref": "kamidox/single-lgbm", "kernel_id": "522502"}, {"ref": "kamidox/feature-analyze-and-data-visualization", "kernel_id": "483560"}, {"ref": "tunguz/four-lgbm-lb-0-44769", "kernel_id": "530725"}, {"ref": "tunguz/wordbatch-ftrl-fm-lgb-lbl-0-42506", "kernel_id": "534054"}, {"ref": "tunguz/single-faster-lgbm-lb-0-47059-18-minutes", "kernel_id": "511193"}, {"ref": "tunguz/more-improved-ridge-2-lgbm-lb-0-43558", "kernel_id": "514379"}, {"ref": "tunguz/wordbatch-ftrl-fm-lgb-lbl-0-423", "kernel_id": "584445"}, {"ref": "tunguz/fork-of-wordbatch-ftrl-fm-lgb-lbl-0-424", "kernel_id": "584458"}, {"ref": "tunguz/just-one-lgbm-lb-0-44444", "kernel_id": "489901"}, {"ref": "tunguz/no-0-price-items-ridge-2-lgbm-lb-0-44113", "kernel_id": "491584"}, {"ref": "tunguz/more-effective-ridge-lgbm-script-lb-0-44341-2", "kernel_id": "473879"}, {"ref": "tunguz/more-effective-ridge-lgbm-script-lb-0-44823", "kernel_id": "467689"}, {"ref": "tunguz/new-lgbm-starter-0-46926-lb", "kernel_id": "465550"}, {"ref": "tunguz/lgbm-ridge-0-45529-lb", "kernel_id": "465791"}, {"ref": "tunguz/simple-blend-v2", "kernel_id": "447326"}, {"ref": "tunguz/simple-blend", "kernel_id": "447090"}, {"ref": "tunguz/sample", "kernel_id": "446797"}, {"ref": "tunguz/a-simple-nn-solution-with-keras-0-48611-p-12a776", "kernel_id": "455731"}, {"ref": "timib1203/one-honking-data-exploration-mercari-prices", "kernel_id": "620048"}, {"ref": "demuah/keras", "kernel_id": "587522"}, {"ref": "johnfarrell/simple-rnn-with-keras-script", "kernel_id": "480041"}, {"ref": "freeman89/xgboost-base-lb-0-55", "kernel_id": "454336"}, {"ref": "pd8073/notebook2915b940ab", "kernel_id": "579973"}, {"ref": "theolvs/mercari-challenge-eda-and-embeddings", "kernel_id": "512101"}, {"ref": "danieleewww/rnn-gru-with-keras-512-64-relu-0-44025", "kernel_id": "523518"}, {"ref": "danieleewww/mercari-rnn-2ridge-models-with-notes-0-fa2c64", "kernel_id": "560671"}, {"ref": "danieleewww/submission-to-mercari-price-suggestion-chal-f16414", "kernel_id": "562198"}, {"ref": "danieleewww/forked-from-only-model-tflearn-13-by-gouthamand", "kernel_id": "626871"}, {"ref": "danieleewww/no-0-price-items-ridge-2-lgbm-lb-0-44113", "kernel_id": "492122"}, {"ref": "danieleewww/ridge-script", "kernel_id": "464844"}, {"ref": "motivic/basic-lightgbm-model-on-top-brands-and-category", "kernel_id": "459788"}, {"ref": "daimerchrysler17/mercari-notebook", "kernel_id": "471301"}, {"ref": "dondapati/mercari", "kernel_id": "534085"}, {"ref": "jkkphys/category-tf-idf-linear-regression", "kernel_id": "447101"}, {"ref": "thomastrenner/mercari-baseline", "kernel_id": "570262"}, {"ref": "sjoly123/2-ridge-2-lgbm-modified-top-100", "kernel_id": "515617"}, {"ref": "sijunhe9248/rnn-fm-bn-multithread", "kernel_id": "626365"}, {"ref": "sijunhe9248/rnn-ensemble-fm-ready-multithread", "kernel_id": "632374"}, {"ref": "sijunhe9248/corrected-final-rnn-ridge", "kernel_id": "800523"}, {"ref": "sijunhe9248/final-rnn-ridge", "kernel_id": "650873"}, {"ref": "whitebird/mercari-price-3rd-0-3905-cv-at-pb-in-3300-s", "kernel_id": "676886"}, {"ref": "ogrellier/multi-process-queues-and-workers-test", "kernel_id": "619699"}, {"ref": "pranshu2/mercari-price-brief-data-analysis", "kernel_id": "482616"}, {"ref": "gemartin/sneak-peek-at-mercari-data", "kernel_id": "447512"}, {"ref": "yifeiren/simple-model", "kernel_id": "450681"}, {"ref": "yoichi7yamakawa/mercari-base-model1", "kernel_id": "523727"}, {"ref": "shujian/stage2-fm-ftrl-cnn-v8-cheap-final", "kernel_id": "646593"}, {"ref": "vpaslay/cython-and-adding-integers", "kernel_id": "470855"}, {"ref": "gosuddin/mercari-predictions-using-random-forest", "kernel_id": "574775"}, {"ref": "michaelsnell/no-0-price-items-ridge-2-lgbm-ver-3-lb-0-44161", "kernel_id": "482649"}, {"ref": "huguera/mercari-data-analysis", "kernel_id": "446858"}, {"ref": "paulorzp/pandas-one-line-meanlog-lb-0-652", "kernel_id": "447265"}, {"ref": "paulorzp/pandas-one-line-median-lb-0-65682", "kernel_id": "447208"}, {"ref": "paulorzp/installed-packages", "kernel_id": "598029"}, {"ref": "tilii7/cross-validation-weighted-linear-blending-errors", "kernel_id": "488294"}, {"ref": "hg285808684/more-effective-ridge-lgbm-script-lb-0-44823", "kernel_id": "625486"}, {"ref": "hg285808684/yyallday-s-work", "kernel_id": "625487"}, {"ref": "fengari/10th-place-solution", "kernel_id": "678672"}, {"ref": "jihyeseo/predict-price-regression", "kernel_id": "958601"}, {"ref": "keremt/pytorch-entity-embeddings", "kernel_id": "470426"}, {"ref": "keremt/deeplearning-baseline", "kernel_id": "449362"}, {"ref": "keremt/means-baseline-lb-0-559", "kernel_id": "448112"}, {"ref": "zhangruinan9652/catboost-model-0", "kernel_id": "504745"}, {"ref": "monogenea/caretstack", "kernel_id": "512736"}, {"ref": "limjingyu/brief-exploration-of-the-training-data", "kernel_id": "531143"}, {"ref": "limjingyu/price-sensitivity-of-brand-and-categories", "kernel_id": "540918"}, {"ref": "divayml/eda-for-mercari-price-suggestion-data", "kernel_id": "604811"}, {"ref": "galpusha/dummy-submission", "kernel_id": "665813"}, {"ref": "gweijie/mercari-weijie-gao", "kernel_id": "656931"}, {"ref": "vrtjso/mercari-eda-more-info-than-you-can-imagine", "kernel_id": "446949"}, {"ref": "zusmani/ridgelgbmscript-lb-0-44944", "kernel_id": "470165"}, {"ref": "zusmani/simple-keras-nn-lb-0-46391", "kernel_id": "459856"}, {"ref": "zusmani/naive-xgboost-v3-try", "kernel_id": "465091"}, {"ref": "zusmani/xgb-ridge-xgb-ridge-script-best-lb-0-46574", "kernel_id": "468285"}, {"ref": "valentinw/simple-data-exploration-and-visualization", "kernel_id": "448451"}, {"ref": "kanishkapsingh/feature-selection-from-text-features", "kernel_id": "467535"}, {"ref": "watts2/wordbatch-ftrl-fm-lgb-lbl-0-42555", "kernel_id": "545295"}, {"ref": "kuzn137/lgb-ridge-data-preproc", "kernel_id": "645849"}, {"ref": "bhavesh09/first-kernel", "kernel_id": "446774"}, {"ref": "bhavesh09/product-category-exploration-d3-js-circle-packing", "kernel_id": "490749"}, {"ref": "mbkinaci/ann-with-keras-161-input-features", "kernel_id": "544228"}, {"ref": "mbkinaci/ann-with-keras-2-hidden-layers", "kernel_id": "542026"}, {"ref": "takizawa/simple-eda", "kernel_id": "446900"}, {"ref": "narimatsu/mercari-demo-submission", "kernel_id": "503468"}, {"ref": "iammangod96/let-me-suggest-the-prices-beginners-guide-to-h2o", "kernel_id": "448135"}, {"ref": "hendraherviawan/benchmark-numpy-scipy", "kernel_id": "571568"}, {"ref": "solomonk/a-pytorch-nn-sgd-momentum-rmsprop-adam", "kernel_id": "447037"}, {"ref": "solohayuna/mercari-only-14-lines-of-code-lb-0-58132", "kernel_id": "558889"}, {"ref": "marquis08/xgb-bigram-fe-v1", "kernel_id": "479007"}, {"ref": "smellyoink/newmodel-keras", "kernel_id": "605683"}, {"ref": "smellyoink/5-minutes-to-feature-vectorization", "kernel_id": "551743"}, {"ref": "johnnyw/python-explore-data-and-fasttext-model", "kernel_id": "470917"}, {"ref": "starsingchow/5-day-data-challenge-day-1", "kernel_id": "470488"}, {"ref": "thec03u5/basic-random-forest", "kernel_id": "593912"}, {"ref": "sravzs/describing-mercari", "kernel_id": "480063"}, {"ref": "rumbok/ridge-lb-0-41944", "kernel_id": "642579"}, {"ref": "kswamy15/mercari-using-pytorch", "kernel_id": "496623"}, {"ref": "lp3ides/eda-4-mercari", "kernel_id": "821702"}, {"ref": "lp3ides/word2vec-4-mercari", "kernel_id": "821451"}, {"ref": "lp3ides/gru-initial-embedding-gensim-v2", "kernel_id": "870746"}, {"ref": "suchethrp/test-try1-sucheth", "kernel_id": "528717"}, {"ref": "dsbilalmahmood/model-1", "kernel_id": "458586"}, {"ref": "dsbilalmahmood/baseline-median-price", "kernel_id": "450894"}, {"ref": "rojareddy/pricesuggestion", "kernel_id": "577128"}, {"ref": "sakinap/mercary-price-suggestion-challenge-xgboost", "kernel_id": "740191"}, {"ref": "jeru666/mercari", "kernel_id": "448142"}, {"ref": "eashish/wordbatch-with-fm-ftrl", "kernel_id": "526611"}, {"ref": "yosuke919/exploratory-data-analysis-feature-engineering", "kernel_id": "447226"}, {"ref": "tonychanyt/conv1d-gru-lb-0-441", "kernel_id": "538849"}, {"ref": "isaienkov/linear-regression-by-2-columns", "kernel_id": "446870"}, {"ref": "isaienkov/more-effective-ridge-lgbm-script-lb-0-44378", "kernel_id": "476763"}, {"ref": "isaienkov/rnn-with-keras-ridge-sgdr-0-43553", "kernel_id": "500673"}, {"ref": "metadist/does-shipping-price-matter-spoiler-no", "kernel_id": "465944"}, {"ref": "jaydavis/mercari-python-pipeline", "kernel_id": "709831"}, {"ref": "shivampanchal/stage2-try-onemore", "kernel_id": "666317"}, {"ref": "inventer/model-script-12-20", "kernel_id": "496500"}, {"ref": "harrypotter0/a-simple-nn-solution-with-keras-0-48611-pl", "kernel_id": "710929"}, {"ref": "ranjanabhay/mercari-data-challenge", "kernel_id": "574117"}, {"ref": "moizzz/price-prediction-first-time", "kernel_id": "606304"}, {"ref": "chabo130/first", "kernel_id": "451129"}, {"ref": "gpreda/mercari-stack-ridge-xgb-v2", "kernel_id": "515712"}, {"ref": "caicell/item-condition-brand-effect-to-price", "kernel_id": "519125"}, {"ref": "fhzh123/practice", "kernel_id": "569879"}, {"ref": "arijitmaji/fork-of-notebookee7c266d24", "kernel_id": "578161"}, {"ref": "arijitmaji/notebookee7c266d24", "kernel_id": "577391"}, {"ref": "andrewmvd/traning-testing-set-disparities", "kernel_id": "472013"}, {"ref": "wangruinju/rnn-with-keras-ridge-sgdr-0-43553", "kernel_id": "535939"}, {"ref": "wangruinju/nomerge-0-41704-1-3200rounds", "kernel_id": "680222"}, {"ref": "lanhpham/linear-regression", "kernel_id": "739490"}, {"ref": "eurbtc/public-ridge-tsvd", "kernel_id": "466175"}, {"ref": "kenwat/single-lgbm-lb-0-44399-run-time-2687sec", "kernel_id": "562865"}, {"ref": "jeffy0637/jay-s-modeling", "kernel_id": "534719"}, {"ref": "rshengg/rigde-xgbm", "kernel_id": "486779"}, {"ref": "larui529/xgboost-2-fold-cv-lb-0-52879", "kernel_id": "477344"}, {"ref": "larui529/visualization-tools-comparison", "kernel_id": "464632"}, {"ref": "bum1903/test1", "kernel_id": "847618"}, {"ref": "llihan/notebooka23f23d", "kernel_id": "494998"}, {"ref": "takapt/adjustcnnparams", "kernel_id": "651094"}, {"ref": "ambar003/mercari-challenge", "kernel_id": "468790"}, {"ref": "jatinraina/mercari-eda-visualization-and-model", "kernel_id": "565214"}, {"ref": "asindico/standard-prices-vs-outliers", "kernel_id": "448777"}, {"ref": "ajaykumarmvk0712/exploratory-data-analysis-xgboost", "kernel_id": "451362"}, {"ref": "kztech/lb-0-42342-top-11", "kernel_id": "629694"}, {"ref": "aravindh04/mercari-price-estimation-by-aravind", "kernel_id": "843093"}, {"ref": "maheshak04/only-huber", "kernel_id": "583460"}, {"ref": "maheshak04/mercari-nb1", "kernel_id": "535158"}, {"ref": "siyliu/basic-explorary-data-analysis", "kernel_id": "596459"}, {"ref": "siyliu/an-attempt-to-nlp", "kernel_id": "620598"}, {"ref": "jparajuli/mercari-price-suggestion-preliminary-analysis", "kernel_id": "448318"}, {"ref": "anu0012/using-different-regression-techniques", "kernel_id": "522172"}, {"ref": "luanho/random-forest-regressor-0-5-lb", "kernel_id": "505019"}, {"ref": "luanho/first-simple-approach", "kernel_id": "449616"}, {"ref": "cameton/notebook6db6fa0134", "kernel_id": "531000"}, {"ref": "tonyuan/notebook007712d9ca", "kernel_id": "496496"}, {"ref": "charlesxin0302/a-simple-cnn-for-text-dnn-for-category-0-47", "kernel_id": "488602"}, {"ref": "yekenot/extra-trees-countvectorizer-tsvd", "kernel_id": "447243"}, {"ref": "hktech/dip-kaggle-pricesuggestion", "kernel_id": "482444"}, {"ref": "demoon/kernel-test", "kernel_id": "561491"}, {"ref": "muonneutrino/mercari-eda-and-nlp-feature-engineering", "kernel_id": "450527"}, {"ref": "ytsai43/first-trail-svr", "kernel_id": "503263"}, {"ref": "improvnps/not-5-alphanumric-characters", "kernel_id": "551069"}, {"ref": "robinhoo1973/how-to-simulate-the-5x-test-dataset", "kernel_id": "494925"}, {"ref": "robinhoo1973/how-to-simulate-the-stage-ii-data-loading", "kernel_id": "549071"}, {"ref": "looseleaf0727/notebookdea5e8441d", "kernel_id": "498480"}, {"ref": "sanazehra/simple-regression-model", "kernel_id": "753040"}, {"ref": "eesnake/notebookb985d96a1f", "kernel_id": "498407"}, {"ref": "chase0213/the-first-note", "kernel_id": "507165"}, {"ref": "serigne/wordbatch-ftrl-fm-lgb-lb-0-424xx", "kernel_id": "537621"}, {"ref": "serigne/tell-me-more-lb-0-43445", "kernel_id": "515887"}, {"ref": "alifanov/lb-0-47232-validation-score-compare", "kernel_id": "483524"}, {"ref": "alifanov/check-stacked-results", "kernel_id": "484021"}, {"ref": "haruhiko/rnn-gru-with-keras-512-64-relu-0-43758", "kernel_id": "505305"}, {"ref": "yanhehe/notebook-gru", "kernel_id": "546317"}, {"ref": "ajayshelar/exploratory-data-analysis", "kernel_id": "639705"}, {"ref": "gaussmake1994/catboost-on-category-baseline", "kernel_id": "451683"}, {"ref": "gaussmake1994/keras-baseline", "kernel_id": "453153"}, {"ref": "jmbhat786/mercari-simple-data-exploration-with-python", "kernel_id": "482332"}, {"ref": "alaeddineayadi/neural-net-solution-with-keras", "kernel_id": "519799"}, {"ref": "zhouzhiguang/notebookbf64408456", "kernel_id": "485272"}, {"ref": "manjuprakashr/mercari-predicting-price-private-score-0-518", "kernel_id": "941349"}, {"ref": "bearenon0743/notebooke09f030bea", "kernel_id": "484870"}, {"ref": "abhishekjha13/alex-code-without-ridge", "kernel_id": "450598"}, {"ref": "abhishekjha13/output-only", "kernel_id": "451628"}, {"ref": "abhishekjha13/prod-code", "kernel_id": "454090"}, {"ref": "haitamdata/notebook1a7ed33e22", "kernel_id": "484126"}, {"ref": "amlanpraharaj/xgboost-k-fold", "kernel_id": "448095"}, {"ref": "arunrajagopalan/mercari-predictions-ridge-ftrl-and-lgbm", "kernel_id": "598199"}, {"ref": "eaturner/nice-transformer-idea", "kernel_id": "525779"}, {"ref": "archelunch/naive-catboost", "kernel_id": "471761"}, {"ref": "jeremiespagnolo/beginner-s-guide-to-mercari-in-r-0-50586", "kernel_id": "453048"}, {"ref": "melekboujelben/cross-validation-gboost-rf", "kernel_id": "675101"}, {"ref": "codename007/lb-0-42342-top-11", "kernel_id": "626798"}, {"ref": "rautaki0127/mercari-price-challenge", "kernel_id": "493856"}, {"ref": "yliu9999/average-of-lightgbm-ridge-0-45704lb", "kernel_id": "465893"}, {"ref": "tao416/lgb-mercari", "kernel_id": "486313"}, {"ref": "tao416/tfidf-xgbregression", "kernel_id": "598683"}, {"ref": "meli19/eda-a-first-look-into-the-data", "kernel_id": "450902"}, {"ref": "patrickhyland/pat-s-notebook", "kernel_id": "553398"}, {"ref": "mohshawky/3-nn-ensemble-top-3", "kernel_id": "647822"}, {"ref": "pluchme/mean-mean", "kernel_id": "448397"}, {"ref": "jayspeidell/eda-and-simple-ridge-regression", "kernel_id": "582472"}, {"ref": "jayspeidell/stacked-ridge-and-lightgbm", "kernel_id": "626872"}, {"ref": "jayspeidell/eda-and-preprocessing", "kernel_id": "527328"}, {"ref": "jayspeidell/predictions-as-features", "kernel_id": "645905"}, {"ref": "yszycf/mpsc-eda", "kernel_id": "453513"}, {"ref": "yszycf/a-simple-nn-solution-with-keras", "kernel_id": "453569"}, {"ref": "kostoglot/v2-best-before-corr-output", "kernel_id": "648269"}, {"ref": "justjun0321/products-eda-random-forest-regressor", "kernel_id": "506453"}, {"ref": "alaahamzah/kerneld62fe542ce", "kernel_id": "994585"}, {"ref": "alex5009/for-jet-nn-xgboost", "kernel_id": "705893"}, {"ref": "sebbovg/openmp-perf-sensitivity-to-the-number-of-threads", "kernel_id": "556654"}, {"ref": "msabr027/bayesian-regularization-neural-networks-0-46", "kernel_id": "682224"}, {"ref": "chandlervan/tfidf-xgb", "kernel_id": "547160"}, {"ref": "nickhuangs/mercari-interactive-eda-topic-modelling", "kernel_id": "586983"}, {"ref": "kevingriest/simple-ridge-script", "kernel_id": "479402"}, {"ref": "karan1276/zombi", "kernel_id": "520937"}, {"ref": "takemoto/cnn04-takemoto", "kernel_id": "514152"}, {"ref": "takemoto/simple-neural-network4", "kernel_id": "508736"}, {"ref": "takemoto/simple-neural-net-takemoto", "kernel_id": "501934"}, {"ref": "takemoto/linear-regression", "kernel_id": "482186"}, {"ref": "unfashionable/big-data-club-meeting-2", "kernel_id": "566256"}, {"ref": "wilson8507/mercari-0-43", "kernel_id": "538244"}, {"ref": "alexgeiger/distilled-features-unsupervised-learning", "kernel_id": "587368"}, {"ref": "atlasgcx/ensemble", "kernel_id": "473010"}, {"ref": "htmn99/yet-another-kernel", "kernel_id": "588618"}, {"ref": "myashish/mercari-price-suggestion-challenge", "kernel_id": "493862"}, {"ref": "fmuetsch/keras-nn-with-rec-layers-sentiment-etc-2", "kernel_id": "459645"}, {"ref": "patil4444/newproject1", "kernel_id": "826823"}, {"ref": "kobesxl/a-simple-nn-solution-with-keras-0-48611-pl", "kernel_id": "460821"}, {"ref": "infinitewing/lightgbm-example", "kernel_id": "446887"}, {"ref": "mtander/mercari-price-predictions-ridge-ensemble", "kernel_id": "511120"}, {"ref": "nabeel965/exploring-data-with-pandas", "kernel_id": "542641"}, {"ref": "nattsun/yeahyeahyeah", "kernel_id": "575334"}, {"ref": "cychang/price-prediction-by-keras-ann-v1", "kernel_id": "647712"}, {"ref": "konohayui/mercari-price-suggestion-eda", "kernel_id": "511550"}, {"ref": "kaapex/cifar10-tensorflow", "kernel_id": "465250"}, {"ref": "mightmay/mercari", "kernel_id": "563869"}, {"ref": "bangdasun/a-very-extensive-mercari-exploratory-analysis", "kernel_id": "590612"}, {"ref": "markmaxf/notebook4190ae9f24", "kernel_id": "543378"}, {"ref": "vanamsen/stack-mean", "kernel_id": "476917"}, {"ref": "namayaki/namyakisample", "kernel_id": "455461"}, {"ref": "yurywallet/2nd-kernel", "kernel_id": "568529"}, {"ref": "yurywallet/1st-kernel", "kernel_id": "464897"}, {"ref": "grroverpr/random-forest-with-tuning-lb-0-52764", "kernel_id": "449944"}, {"ref": "yakolle/mercari-lgb-feature-importance-1", "kernel_id": "500852"}, {"ref": "yakolle/mercari-lgb-tuned", "kernel_id": "500904"}, {"ref": "yakolle/mercari-lgb-without-embed-ols-round", "kernel_id": "502534"}, {"ref": "yakolle/mercari-basic-analysis", "kernel_id": "481811"}, {"ref": "yakolle/mercari-linear-tune", "kernel_id": "582942"}, {"ref": "yakolle/mercari-rnn-test", "kernel_id": "578220"}, {"ref": "yakolle/mercari-mixed-nn", "kernel_id": "574108"}, {"ref": "yakolle/mercari-lgb-tune3", "kernel_id": "640977"}, {"ref": "yakolle/mercari-final-huber", "kernel_id": "641653"}, {"ref": "yakolle/mercari-final-regression", "kernel_id": "642301"}, {"ref": "yakolle/mercari-lgb-tune2", "kernel_id": "640126"}, {"ref": "yakolle/mercari-lgb-tune1", "kernel_id": "640119"}, {"ref": "yakolle/mercari-lgb-with-word-without-outlier-untuned", "kernel_id": "510461"}, {"ref": "yakolle/mercari-lgb-feature-importance", "kernel_id": "513316"}, {"ref": "yakolle/mercari-blend", "kernel_id": "520885"}, {"ref": "yakolle/mercari-lgb-tune", "kernel_id": "519165"}, {"ref": "yakolle/mercari-lgb-ensemble", "kernel_id": "519003"}, {"ref": "yakolle/mercari-lgb-with-embed-ols-round", "kernel_id": "521912"}, {"ref": "yakolle/mercari-rnn-tune", "kernel_id": "525684"}, {"ref": "yakolle/mercari-cnn-tune", "kernel_id": "563864"}, {"ref": "yakolle/mercari-stack", "kernel_id": "564542"}, {"ref": "yakolle/mercari-ftrl-untuned", "kernel_id": "553493"}, {"ref": "yakolle/mercari-ridge-lowercase", "kernel_id": "646990"}, {"ref": "pedromlsreis/buy-sell-things-you-love-eda", "kernel_id": "446873"}, {"ref": "rushikeshm/eda-of-data", "kernel_id": "456659"}, {"ref": "guizer/mercari-simple-data-exploration-with-python", "kernel_id": "465853"}, {"ref": "iamprateek/submission-to-mercari-price-suggestion-challenge", "kernel_id": "458698"}, {"ref": "akshaymewada7/simple-huber-regressor", "kernel_id": "473830"}, {"ref": "mazc2121/zzzzzz", "kernel_id": "456364"}, {"ref": "kewalkishang/item-desc-sentiment-analysis-nltk-vs-texblob", "kernel_id": "597722"}, {"ref": "amaiaga/xgboost-v8", "kernel_id": "502741"}, {"ref": "rahullalu/mercari-price-suggestion-system-0-446125129352", "kernel_id": "535372"}, {"ref": "jetouxu/rnn-fm-ftrl-ridgecv-0-422", "kernel_id": "641161"}, {"ref": "sidshady/feature-eda-item-description-nlp", "kernel_id": "451624"}, {"ref": "swapkh91/mercari-first-try", "kernel_id": "476017"}, {"ref": "chengjingye/lgbm-single", "kernel_id": "649869"}, {"ref": "qshiki/fork-of-ridge-category", "kernel_id": "556756"}, {"ref": "leeyun/ensemble-model", "kernel_id": "564733"}, {"ref": "kosiew/ridge-lb-0-41943", "kernel_id": "647144"}, {"ref": "swapnilkura/python-light-gbm-model", "kernel_id": "514055"}, {"ref": "swapnilkura/basic-data-exploration", "kernel_id": "451607"}, {"ref": "dromosys/wordbatch-ftrl-fm-lgb-lbl-0-423", "kernel_id": "551462"}, {"ref": "dromosys/wordbatch-with-fm-ftrl-9ae39c", "kernel_id": "624706"}, {"ref": "dromosys/associated-model-rnn-ridge-1e0c6e", "kernel_id": "626884"}, {"ref": "dromosys/keras-rnn-stateful", "kernel_id": "630914"}, {"ref": "dromosys/ridge-lb-0-41943-716acd", "kernel_id": "645606"}, {"ref": "shilpa11/mercari-price-predictions-eda", "kernel_id": "463832"}, {"ref": "wolfgangb33r/marcari-primary", "kernel_id": "466587"}, {"ref": "wangyong101/pricing-eda-market-competition-impact-to-price", "kernel_id": "540175"}, {"ref": "amitkumarojha/mercari-price-suggestion-part1", "kernel_id": "455570"}, {"ref": "amitkumarojha/feature-extraction-in-mercari-price-challenge", "kernel_id": "491542"}, {"ref": "amitkumarojha/using-xgboost-for-mercari-price-challenge", "kernel_id": "495820"}, {"ref": "eddfung/xgboost-for-prediction", "kernel_id": "460977"}, {"ref": "anderstr/my-mercari-notebook", "kernel_id": "535019"}, {"ref": "sommeio87/mercari-eda", "kernel_id": "540173"}, {"ref": "jiangzhonglian/mercari", "kernel_id": "566761"}, {"ref": "achad4/mercari-price-competition", "kernel_id": "570806"}, {"ref": "yyll008/gru-25-12-12-with-keras-512-64-relu-sgdr-lb0-432", "kernel_id": "483502"}, {"ref": "michaelapers/mercari-rough3", "kernel_id": "651838"}, {"ref": "prasanthvj/base-random-forest-lb-532-5baa69", "kernel_id": "811595"}, {"ref": "hcc1995/version-1", "kernel_id": "492405"}, {"ref": "chiayuhsu/file-input-and-output-testing", "kernel_id": "503265"}, {"ref": "danilz/mercari-explained-feats-tokens-tf-idf-xgb-pred", "kernel_id": "526843"}, {"ref": "prashantkikani/1xlgbm-2xridge-best-public", "kernel_id": "544260"}, {"ref": "datahut/text-analysis2", "kernel_id": "586591"}, {"ref": "dayemsidiqi/dayem-s-first-notebook", "kernel_id": "464162"}, {"ref": "mirekphd/rtest2-mercari-eda", "kernel_id": "755080"}, {"ref": "ykamikawa/rnn-ridge-script-for-solving-mercari-challenge", "kernel_id": "658159"}, {"ref": "mfulomkhulu/beginners-luck-3", "kernel_id": "530258"}, {"ref": "passwordqk/fork-of-ridge-lgbm-0-4434-2", "kernel_id": "755820"}, {"ref": "passwordqk/ridge-lgbm-0-4434-2", "kernel_id": "559338"}, {"ref": "passwordqk/notebooka6c3125662", "kernel_id": "536531"}, {"ref": "lucenya/mercari-xgboost", "kernel_id": "564958"}, {"ref": "lucenya/mercari-ridge", "kernel_id": "564788"}, {"ref": "lucenya/mercari-price-nn", "kernel_id": "561378"}, {"ref": "koheiotani/nn-with-keras", "kernel_id": "455456"}, {"ref": "koheiotani/nn-solution-with-keras", "kernel_id": "455380"}, {"ref": "rveldur/xgboost-to-predict-the-price-change", "kernel_id": "543777"}, {"ref": "rveldur/mercari-price-suggestion-data-mining", "kernel_id": "588991"}, {"ref": "jairomateo/mercari-copycat", "kernel_id": "485075"}, {"ref": "thykhuely/mercari-interactive-eda-topic-modelling", "kernel_id": "449304"}, {"ref": "danavg/dummy-variables-vs-label-encoding-approach", "kernel_id": "447899"}, {"ref": "omsairam/ensemble-of-lgbm-ridge-lb-0-45231", "kernel_id": "467168"}, {"ref": "atfisnotatf/bojan-is-too-fast", "kernel_id": "446827"}, {"ref": "natalieh/computing-feature-importance-from-scratch", "kernel_id": "486489"}, {"ref": "warpri81/mercari-first-nn-lb-0-50974", "kernel_id": "563309"}, {"ref": "dangtao/go-go-go", "kernel_id": "470045"}, {"ref": "submarineering/submarineering-first-prediction", "kernel_id": "492883"}, {"ref": "laxmikanth/mercari-price", "kernel_id": "575951"}, {"ref": "laxmikanth/mercari-price-challenge", "kernel_id": "576064"}, {"ref": "goomba16/ridge-fmftrl-solution", "kernel_id": "997695"}, {"ref": "kabukiage/notebook8f0a748086", "kernel_id": "504874"}, {"ref": "virtonos/mercari", "kernel_id": "634420"}, {"ref": "keitashimizu/xg-boost-test-with-2nd-level-category", "kernel_id": "459395"}, {"ref": "keitashimizu/exploration-of-category-layers", "kernel_id": "452963"}, {"ref": "keitashimizu/basic-input-output", "kernel_id": "452840"}, {"ref": "jeremydai/xgboost-with-onehotencoder", "kernel_id": "640040"}, {"ref": "nchernetsov/mercari-notebook", "kernel_id": "505367"}, {"ref": "prettyandhuge/fork-of-lastattempt", "kernel_id": "495393"}, {"ref": "prettyandhuge/lastattempt", "kernel_id": "466524"}, {"ref": "prettyandhuge/notebook70dc216453", "kernel_id": "464702"}, {"ref": "prettyandhuge/true-ship-cat-brand-mlp", "kernel_id": "469340"}, {"ref": "prettyandhuge/ship-brand-cate-rigide", "kernel_id": "469343"}, {"ref": "prettyandhuge/ship-cat-brand-mlp", "kernel_id": "469305"}, {"ref": "merelylove/notebook7c87710bc8", "kernel_id": "488511"}, {"ref": "jug971990/xgboost-123", "kernel_id": "636511"}, {"ref": "jug971990/xgboost-regressor-model-using-tf-idf-features", "kernel_id": "671014"}, {"ref": "jug971990/fork-of-xgboost-model-using-tfiidf-features", "kernel_id": "670887"}, {"ref": "jug971990/xgboost-model-using-tfiidf-features", "kernel_id": "670421"}, {"ref": "piumallick/mercari-data-analysis", "kernel_id": "664118"}, {"ref": "bashamsc/visualization-of-common-words-in-item-description", "kernel_id": "503712"}, {"ref": "bashamsc/simple-regression-model", "kernel_id": "476879"}, {"ref": "bashamsc/predicting-using-sentiment-analysis", "kernel_id": "480848"}, {"ref": "bashamsc/decision-tree-model", "kernel_id": "518655"}, {"ref": "holfyuen/mercari-prediction-from-median-and-beyond", "kernel_id": "590553"}, {"ref": "harpreetvishnoi/mercari-nn-keras", "kernel_id": "587854"}, {"ref": "agenright/just-a-quick-test-run", "kernel_id": "450372"}, {"ref": "shwetasahu/notebook34175d1c4a", "kernel_id": "569678"}, {"ref": "shwetasahu/fork-of-fork-of-price-prediction", "kernel_id": "575941"}, {"ref": "dsxxab/very-very-simple", "kernel_id": "483430"}, {"ref": "kedington/linear-regression", "kernel_id": "469402"}, {"ref": "bw0282/explore-data-with-visualization", "kernel_id": "708929"}, {"ref": "johnmueller329/script-combining-h2o-implementation-with-some-tm", "kernel_id": "499548"}, {"ref": "nishitian/transfer-learning-from-glove", "kernel_id": "662708"}, {"ref": "alexeysrus/fork-of-fork-of-fork-of-notebooke19d21d65c-026057", "kernel_id": "604220"}, {"ref": "jennybrown8/mercari-submission-notebook", "kernel_id": "453745"}, {"ref": "nvhbk16k53/associated-model-rnn-ridge", "kernel_id": "529816"}, {"ref": "nvhbk16k53/rnn-ridge-script-for-solving-mercari-challenge", "kernel_id": "515069"}, {"ref": "safinar/mercari-price", "kernel_id": "580822"}, {"ref": "safinar/mercari-suggestion", "kernel_id": "568254"}, {"ref": "saptha/saptha-mercari-submission", "kernel_id": "521596"}, {"ref": "toqoz403/first-challenge", "kernel_id": "464602"}, {"ref": "vikasbz/mercari-price-suggestion-v1", "kernel_id": "959742"}, {"ref": "pinaal16/mercari", "kernel_id": "473510"}, {"ref": "neetisinghal/visualization-01", "kernel_id": "530079"}, {"ref": "neetisinghal/xgboost-02", "kernel_id": "635098"}, {"ref": "zihaooooooo/mercari-rnn-2ridge-models-with-notes-0-42755", "kernel_id": "618416"}, {"ref": "kuntalcse006/mercari-price-suggestion-challenge", "kernel_id": "561594"}, {"ref": "graf10a/mercari-alexey-pronin", "kernel_id": "571335"}, {"ref": "graf10a/mercari-2-alexey-pronin", "kernel_id": "595802"}, {"ref": "richinmind/kaggel-competition-tryout", "kernel_id": "521403"}, {"ref": "maheshsinha/mercari-test1", "kernel_id": "491991"}, {"ref": "jwstodd/excel-based", "kernel_id": "504242"}, {"ref": "mnakajima75/first-commit", "kernel_id": "480409"}, {"ref": "ivanbeg/fork-of-09-mercari-rnn-2ridge-models", "kernel_id": "567309"}, {"ref": "ivanbeg/09-mercari-rnn-2ridge-models-solution", "kernel_id": "563385"}, {"ref": "ivanbeg/09-mercari-rnn-2ridge-models", "kernel_id": "563352"}, {"ref": "shanth84/notebook8edf0f5ed0", "kernel_id": "493092"}, {"ref": "shanth84/0-414-stage2data-rnn-wbatch", "kernel_id": "700293"}, {"ref": "shanth84/rnn-wordbatch-price-recommendation-text-mining", "kernel_id": "705617"}, {"ref": "amxineohp/mis-test", "kernel_id": "511433"}, {"ref": "michaelabehsera/mercari-first-test-try", "kernel_id": "630494"}, {"ref": "bkkaggle/mercari-rnn-ridge-99-train-0-15-to-1", "kernel_id": "606291"}, {"ref": "cparrarojas/single-lgb-tfidf-lb-0-432", "kernel_id": "657949"}, {"ref": "ddongchen/the-first", "kernel_id": "524789"}, {"ref": "zzxzzxzzx/aaaaa", "kernel_id": "651570"}, {"ref": "pmarciano/simple-neural-network-solution", "kernel_id": "649088"}, {"ref": "mikufreedom/rnnwithridge", "kernel_id": "628012"}, {"ref": "gchbin/notebookb2e1d9e5d1", "kernel_id": "554576"}, {"ref": "ammario/notebookc8416bdae0", "kernel_id": "577859"}, {"ref": "rlhjansen/cw-thresh-100-train-start-till-2400s-layer5x100", "kernel_id": "567858"}, {"ref": "mozanator/strijders", "kernel_id": "533678"}, {"ref": "paulltk/notebook-leren-en-beslissen-aflp", "kernel_id": "528211"}, {"ref": "paulltk/leren-en-beslissen-code-keras", "kernel_id": "577882"}, {"ref": "afalbrecht/leren-en-beslissen-code-keras", "kernel_id": "577897"}, {"ref": "claartjebarkhof/claartje", "kernel_id": "528302"}, {"ref": "pepijnnn/node1", "kernel_id": "528309"}, {"ref": "falksinke/first-try-with-a-kaggle-kernel", "kernel_id": "575393"}, {"ref": "falksinke/leren-en-beslissen-code-keras", "kernel_id": "581628"}, {"ref": "yumi080301/notebook40181a9c58", "kernel_id": "552702"}, {"ref": "leansa/lerenbeslissen17-629d2e", "kernel_id": "533635"}, {"ref": "leansa/lerenbeslissen17-d8d289", "kernel_id": "529795"}, {"ref": "leansa/lerenbeslissen17-629d2e-fc42b1", "kernel_id": "539854"}, {"ref": "kaggilyspies17/lerenbeslissen17-lgbm-test", "kernel_id": "529770"}, {"ref": "puks11/lerenbeslissen17-19-01", "kernel_id": "543952"}, {"ref": "b3lial/rnn-solution-with-keras", "kernel_id": "554659"}, {"ref": "qiujinqiu/notebookc71dff4a62", "kernel_id": "567299"}, {"ref": "woodyx218/new-data-desc-len-with-3-gram-and-4-models-goodlgb", "kernel_id": "606079"}, {"ref": "peicozy/mercari-price-suggestion-challenge-try-1", "kernel_id": "575170"}, {"ref": "yuichielectric/mecari-competition", "kernel_id": "642201"}, {"ref": "kwonsoonje/notebook65ceaf2d83", "kernel_id": "563943"}, {"ref": "liviubrinza/mercari-category-based-mean-price-calculation-test", "kernel_id": "563008"}, {"ref": "abiernacka/fork-of-biernacka-price-statistics-high-speed-na", "kernel_id": "644892"}, {"ref": "rashmimathur/ridge-regression", "kernel_id": "661237"}, {"ref": "mayoub/mercari-interactive-eda-topic-modelling", "kernel_id": "667967"}, {"ref": "silenzio/kernel29c568cfc6", "kernel_id": "585598"}, {"ref": "poordickey/mercari-interactive-eda-topic-modelling-0b1a07", "kernel_id": "603127"}, {"ref": "soneo0/fork-of-a-simple-nn-solution-with-keras-0-48611", "kernel_id": "624719"}, {"ref": "soneo0/a-simple-nn-solution-with-keras-0-48611-pl", "kernel_id": "624550"}, {"ref": "shun0224/ipyton-notebook", "kernel_id": "826466"}, {"ref": "shun0224/merucari1", "kernel_id": "826483"}, {"ref": "k0uhashi/mercari-price-suggestion", "kernel_id": "990429"}, {"ref": "oshino/kaggle-mercari-price-suggestion-challenge-rf-base", "kernel_id": "1076535"}, {"ref": "ratnesh88/predict-price", "kernel_id": "1007788"}, {"ref": "leebaro/dynamic-pricing-with-feature-engineering-67623d", "kernel_id": "1493404"}, {"ref": "leebaro/mercari-interactive-eda-topic-modelling-681ca3", "kernel_id": "1499142"}, {"ref": "manjuprakashr/iteration-nn", "kernel_id": "1563689"}, {"ref": "justjun0321/products-eda-how-to-make-price-prediction-clear", "kernel_id": "1089411"}, {"ref": "yoshikiohira/doc2vec", "kernel_id": "1702506"}, {"ref": "plasticgrammer/mercari-price-suggestion-playground", "kernel_id": "1452288"}, {"ref": "stelzax/mercari-prediction-explanation-begginer", "kernel_id": "1025296"}, {"ref": "ioannissavvidis/mercari-eda-more-info-than-you-can-imagin-f96880", "kernel_id": "1180906"}, {"ref": "lintingle/mercari-price-suggestion-challenge", "kernel_id": "1276756"}, {"ref": "mengzengyou2018/my-first-kernel-about-mercari-price", "kernel_id": "1009962"}, {"ref": "wpe0828/wpe-s", "kernel_id": "1165510"}, {"ref": "wpe0828/wpe-s-2", "kernel_id": "1171124"}, {"ref": "kaogamasala/mercari1", "kernel_id": "1464155"}, {"ref": "yashpaldumpala/mercari-by-yashpal-bhaskar-pranith", "kernel_id": "1622347"}, {"ref": "mohitpahuja/simple-data-exploration", "kernel_id": "1996622"}, {"ref": "abecadel/mercari-1", "kernel_id": "2618633"}, {"ref": "hdhd13/starmooc-mercari-challenge-example", "kernel_id": "2336653"}, {"ref": "aschukin/lgb-nosvd-nobrandpredict", "kernel_id": "2264082"}, {"ref": "aschukin/lgb-bagging", "kernel_id": "2265203"}, {"ref": "marysh/mercari-competition", "kernel_id": "2197582"}, {"ref": "shubhamshishodia/mercari-price-suggestion-exploratory-analysis", "kernel_id": "2049055"}, {"ref": "bballsu30/test4", "kernel_id": "2140206"}, {"ref": "rajshree07/topic-modelling-nlp-with-mercari-price-suggestion", "kernel_id": "2754275"}, {"ref": "zikazika/easy-deep-learning-using-keras", "kernel_id": "2062067"}, {"ref": "alancorrales31/mc886-exploration", "kernel_id": "2071760"}, {"ref": "alancorrales31/mercari-interactive-eda-topic-modelling", "kernel_id": "2192078"}, {"ref": "kwonyoung234/clone-coding-mercari-price-suggestion", "kernel_id": "2922164"}, {"ref": "ilsersokolov/test-kernel", "kernel_id": "2592211"}, {"ref": "luckywookie/mercari-price-suggestion-challenge", "kernel_id": "2596368"}, {"ref": "kaitoluciferzero/mercari", "kernel_id": "2159955"}, {"ref": "elevenlines/wsd2mercari", "kernel_id": "2071488"}, {"ref": "unamu1229/keras", "kernel_id": "2923513"}, {"ref": "anhquan0412/mercari-fastai-tabular", "kernel_id": "3496396"}, {"ref": "badreeshshetty/mercari-price-suggestion-challenge-xgb-lgbm", "kernel_id": "3244803"}, {"ref": "dhirajnv/lgbm-catboost-ftrl", "kernel_id": "3333631"}, {"ref": "blxz96/mercari-price-recommender-model-and-analysis", "kernel_id": "3611700"}, {"ref": "wildeplant/mercari-price-suggestion-challenge", "kernel_id": "3052717"}, {"ref": "ikefuji/sample-random-forest", "kernel_id": "3849557"}, {"ref": "marwanelghitany/mercari-with-eda", "kernel_id": "4851694"}, {"ref": "conformal/bownn2", "kernel_id": "4907453"}, {"ref": "conformal/embeddingnn", "kernel_id": "4885795"}, {"ref": "conformal/ridge", "kernel_id": "4860022"}, {"ref": "conformal/bownn", "kernel_id": "4867620"}, {"ref": "nehaytamore/my-eda-of-mercari", "kernel_id": "4157976"}, {"ref": "akumaldo/mercari-price-lgb-model", "kernel_id": "4299141"}, {"ref": "toshinari/mercari-ridge", "kernel_id": "5902290"}, {"ref": "jubergandharv/stacked-1ridge-1lgbm", "kernel_id": "5880362"}, {"ref": "conformal/combinemodel", "kernel_id": "5014253"}, {"ref": "bimimi/bayesian-e-com-price-model", "kernel_id": "5513220"}, {"ref": "scottolson/kernel7be0788446", "kernel_id": "6857598"}, {"ref": "kingmbc/mercari-golf-0-3875-cv-in-75-loc-1900-s", "kernel_id": "6781375"}, {"ref": "ilya37/catboost-tfidf", "kernel_id": "6699397"}, {"ref": "jubergandharv/fm-ftrl-with-wordbatch-and-lgb", "kernel_id": "6075341"}, {"ref": "shubhanshi8/price-prediction-models-lb-0-43", "kernel_id": "6199824"}, {"ref": "shivashi11/mercary-price-competition", "kernel_id": "6740467"}, {"ref": "thientam26/mercari-price-suggestion-challenge-1", "kernel_id": "7350170"}, {"ref": "naoyad/kernel146057f249", "kernel_id": "7956863"}, {"ref": "ssingla/mercaripricerecommendation-base-model-0-69", "kernel_id": "8404878"}, {"ref": "djohn8/mercari-price-prediction-challenge", "kernel_id": "8987265"}, {"ref": "bitmask93/kernel56a1e9e572", "kernel_id": "8248782"}, {"ref": "jarifqwq/bert-preprocess", "kernel_id": "8146297"}, {"ref": "smallhand/mercari-smallhand-randomforest-mlpregressor", "kernel_id": "9984631"}, {"ref": "yogeeshwari/gru-kaggle", "kernel_id": "9623199"}, {"ref": "rudra222/ridge-lgbm", "kernel_id": "9652751"}, {"ref": "rajarshi253/rajarshi-kernel48ed8e3714", "kernel_id": "9945533"}, {"ref": "sumipy/mercari-compe", "kernel_id": "9003601"}, {"ref": "sumipy/mercari-price-prediction", "kernel_id": "9239665"}, {"ref": "joyeee/korean", "kernel_id": "9985640"}, {"ref": "shunichisaito/mercari-rb", "kernel_id": "9662406"}, {"ref": "vishnu123/mercari-price-suggestion", "kernel_id": "10303205"}, {"ref": "pjarbas/electronics-prices-prediction", "kernel_id": "10813662"}, {"ref": "cdefreitas/mercari-price-suggestion-2020", "kernel_id": "10799224"}, {"ref": "sarthakvajpayee/top-6-linear-models-only", "kernel_id": "10892140"}, {"ref": "mcarujo/mercari-ead-and-regression", "kernel_id": "10813421"}, {"ref": "manodeep/just-another-mercari-solution-using-nlp", "kernel_id": "11487872"}, {"ref": "sarthakvajpayee/top-6-in-depth-eda-feature-engineering", "kernel_id": "11058777"}, {"ref": "arunsingh314/mercari-ml-models", "kernel_id": "11617432"}, {"ref": "arunsingh314/mercari-mlp-0-3848", "kernel_id": "11617493"}, {"ref": "arunsingh314/mercari-pricesuggestion-eda", "kernel_id": "11616912"}, {"ref": "kanji1123/randomforest", "kernel_id": "11548085"}, {"ref": "chandrimad31/suggest-automatic-price-advanced-text-processing", "kernel_id": "11422522"}, {"ref": "ilyasedelnikov/20200905-mercarilightgbm", "kernel_id": "11593231"}, {"ref": "ilyasedelnikov/20200905-mercaridataanalysis", "kernel_id": "11586804"}, {"ref": "ilyasedelnikov/20200905-mercaribilstm", "kernel_id": "11578897"}, {"ref": "ryoryota/mercari-price-suggestion", "kernel_id": "12968997"}, {"ref": "takaomikadokura7069/ds-stdy-mercari-kd-1125", "kernel_id": "12966034"}, {"ref": "namiki1984/ds-stdy-mercari-namiki", "kernel_id": "12933072"}, {"ref": "soyosuke/notebook0390f527d6", "kernel_id": "12679216"}, {"ref": "dogdriip/mercari-vectorizer-labelbinarizer-lgbmregressor", "kernel_id": "13974231"}, {"ref": "tatsuya9/fork-of-mercari-amazon-price-suggestion", "kernel_id": "13817460"}, {"ref": "miyanic/ds-stdy-mercari-kd-testmiya", "kernel_id": "13475858"}, {"ref": "ikedaryuji/mercari-price-suggestion-challenge2", "kernel_id": "13373398"}, {"ref": "arisontdu/puipui-mercar", "kernel_id": "13072263"}, {"ref": "arisontdu/18rd0111215", "kernel_id": "13525434"}, {"ref": "wfannew/fan-home-credit-default-risk", "kernel_id": "14675431"}, {"ref": "mohamedtaha7/sgd-and-grid-search", "kernel_id": "15949887"}, {"ref": "faridsharaf/assignment-3", "kernel_id": "15786938"}, {"ref": "moemenalaa97/assignment3", "kernel_id": "15786255"}, {"ref": "mohammedelhamamsy/mercari-price-suggestion-challenge", "kernel_id": "15756631"}, {"ref": "omarswelam/mercari-predictions", "kernel_id": "15763219"}, {"ref": "rawan21/a-beginner-s-guide-to-mercari-problem-with-ridge", "kernel_id": "16401540"}, {"ref": "ayekhine/neural-network-cnn-version-2", "kernel_id": "16339228"}, {"ref": "ayekhine/mercari-price-rnn", "kernel_id": "16247112"}, {"ref": "aarthigereddy/mercari-code-2", "kernel_id": "16314417"}, {"ref": "ducanhc/mercari-price-sklearn", "kernel_id": "16068763"}, {"ref": "dngcton/ml-tesst-ttting", "kernel_id": "16293876"}, {"ref": "yshiml/mercari-lgb-1", "kernel_id": "16360257"}, {"ref": "phannguyenthe/mercari-draft", "kernel_id": "16958355"}, {"ref": "watanabejun/notebookmercari5", "kernel_id": "16084886"}, {"ref": "perluto/nhh-mpsc", "kernel_id": "16497512"}, {"ref": "hnginhxun/mercari-price-suggestion-challenge", "kernel_id": "16989333"}, {"ref": "hoang18020566/mercari-price-suggestion", "kernel_id": "16917397"}, {"ref": "hoang18020566/notebook4592eda30e", "kernel_id": "16949094"}, {"ref": "anhnd1/botlinetia-pricesuggestion", "kernel_id": "16773386"}, {"ref": "nguynththytrang/myhomework", "kernel_id": "16591223"}, {"ref": "kientrong/aaaaaaa", "kernel_id": "16716685"}, {"ref": "khanhnguynngc/khanh-macro", "kernel_id": "16936488"}, {"ref": "tsuchiya044/catboost-using-mercari-dataset", "kernel_id": "17234177"}, {"ref": "ayekhine/wordbatch-ftrl-lgb", "kernel_id": "17239547"}, {"ref": "ayekhine/mercari-eda", "kernel_id": "17146376"}, {"ref": "debasisdotcom/mercari-price-suggestion-gru-nn-0-46", "kernel_id": "17028713"}, {"ref": "suckmycockkaggle/mercari-final", "kernel_id": "17590308"}, {"ref": "nguynphchi/mercari-glove200d-cnn", "kernel_id": "17158999"}, {"ref": "lockieu12/mercari-draft", "kernel_id": "17072737"}, {"ref": "xunbchtrnh/pricesuggestion", "kernel_id": "17556967"}, {"ref": "hoang18020566/ml-18020566", "kernel_id": "17096157"}, {"ref": "hngtrnchong/ml-final-create", "kernel_id": "17072394"}, {"ref": "nguyenkimlong/mps-week-5", "kernel_id": "17095040"}, {"ref": "nguyenkimlong/mps-nkl-18020833-ml-ridge", "kernel_id": "17644237"}, {"ref": "nguyenkimlong/mpsfinal-nkl-18020833-ml-ridge", "kernel_id": "17646147"}, {"ref": "nguyenkimlong/fork-of-mps-week-5", "kernel_id": "17576887"}, {"ref": "quangtrnvinh/ml-final-mercari-price-suggestion", "kernel_id": "17304812"}, {"ref": "khanhnguynngc/em-kh-nh-macroooo", "kernel_id": "17243714"}, {"ref": "phamhung0703/final-exam-pham-van-hung-18020597", "kernel_id": "17357942"}, {"ref": "phamhung0703/final-exam", "kernel_id": "17120258"}, {"ref": "yshiml/mercari-lgb-2", "kernel_id": "18394778"}, {"ref": "maximkazantsev/mercari-price-suggestion-catboost", "kernel_id": "18558400"}, {"ref": "maximkazantsev/mercari-price-suggestion-sgdregressor", "kernel_id": "18557279"}, {"ref": "tsunao/notebookb0b74862e1", "kernel_id": "18451348"}, {"ref": "otenaoki/data-science", "kernel_id": "18738224"}, {"ref": "saitoukenshin/notebooked06d13032", "kernel_id": "18356453"}, {"ref": "yshiml/mercari-lgb-3", "kernel_id": "21796911"}, {"ref": "kooose/mercari-feature-engineering-and-predict-gru", "kernel_id": "21135255"}, {"ref": "tokifuruakwa/mercari", "kernel_id": "21037918"}, {"ref": "alexjorenby/notebook6212b30b54", "kernel_id": "22564772"}, {"ref": "taikiikuta/tfidf-name-dscrp-ridge", "kernel_id": "22951135"}, {"ref": "ahmedkhaledaskar/bonus-assignment-2", "kernel_id": "22888410"}, {"ref": "lavie105/mercari-randomforest", "kernel_id": "23870891"}, {"ref": "mazen10002/mercari-price", "kernel_id": "23448698"}, {"ref": "saifmagdy/notebookad7cc4ac2a", "kernel_id": "23573570"}, {"ref": "taolati20011/mercari-price-suggestion", "kernel_id": "23520006"}, {"ref": "samarebrahim/suggest-product-prices-to-online-sellers", "kernel_id": "23123777"}, {"ref": "abdelazizhossameldin/suggest-product-prices-to-online-sellers", "kernel_id": "23264069"}, {"ref": "salmazakzouk/suggest-product-prices-to-online-sellers", "kernel_id": "23003586"}, {"ref": "ayaessam8080/notebook65e9e8b4f9", "kernel_id": "23328400"}, {"ref": "haiditarek/notebook9295b0e8", "kernel_id": "23397514"}, {"ref": "sheehan19/mps-19021267", "kernel_id": "23583359"}, {"ref": "izzie1/ml-final", "kernel_id": "23398342"}, {"ref": "hoanguynngc/18020524-nguy-n-ng-c-hoa", "kernel_id": "23485389"}, {"ref": "hoanghp/18020570-nguyenviethoang", "kernel_id": "23645611"}, {"ref": "hoanghp/18020570-nguy-n-vi-t-ho-ng", "kernel_id": "23637942"}, {"ref": "vinhthinhthanh/18021431-mecary-price-suggestion", "kernel_id": "23638530"}, {"ref": "hossamahmedelsayed/notebooked0d1b5639", "kernel_id": "23394736"}, {"ref": "tanngo811/18021123-mercari-rnn", "kernel_id": "23538198"}, {"ref": "sandraezzat/mercari-price-suggestion", "kernel_id": "23448773"}, {"ref": "sakurakh/suggest-product-prices-to-online-sellers", "kernel_id": "23315827"}, {"ref": "dungnt10/18020382-nguyentrongdung", "kernel_id": "23708411"}, {"ref": "dungnt10/ml-mercari-price-suggestion-challenge", "kernel_id": "23708066"}, {"ref": "asmaaselghetany/price-prediction", "kernel_id": "23421692"}, {"ref": "silvanaatef/lec-assignment", "kernel_id": "23448412"}, {"ref": "maingoctrinh/18021307-mai-ng-c-trinh", "kernel_id": "23696957"}, {"ref": "hainv01/mercari-price-suggestion-challenge", "kernel_id": "23576393"}, {"ref": "lthutrang/ltt-machine-learning", "kernel_id": "23643995"}, {"ref": "ngthuan/18021248-mercari-price-suggestion", "kernel_id": "23029047"}, {"ref": "quangtrungtran/btl-18021331", "kernel_id": "23475922"}, {"ref": "thanhduong63/18021176-mercari-price-suggestion", "kernel_id": "23461545"}, {"ref": "basselsherif42/bassel-bonus-assignment", "kernel_id": "23680393"}, {"ref": "phatthanhtuhn/btl-cu-i-k-18021323", "kernel_id": "23223924"}, {"ref": "tranhuyhoan/19021280-mercari-predict-price", "kernel_id": "23564091"}, {"ref": "loanhduc/final-mercari-cu-i-k-h-c-m-y", "kernel_id": "23722562"}, {"ref": "cngvng/machine-learning-mercari-price-suggestion", "kernel_id": "23470940"}, {"ref": "peinhatake/final-exam-ml-18020271-h-xu-n-ng", "kernel_id": "23629845"}, {"ref": "youssefibrahimm/notebookc3fb08c1ba", "kernel_id": "23573579"}, {"ref": "tupham15/18021353-ph-m-ng-c-t", "kernel_id": "23614723"}, {"ref": "lephanxuanhoa/18020528-l-phan-xu-n-h-a", "kernel_id": "23645029"}, {"ref": "dohuutoan/do-huu-toan-mercari-price-suggestion-challenge", "kernel_id": "23704818"}, {"ref": "thanhdotien/btl-18021178", "kernel_id": "23709806"}, {"ref": "abdelrhman12213/notebook679ed04fb0", "kernel_id": "24421771"}, {"ref": "hengwdai/stumbleupon-autogluon", "kernel_id": "26891830"}, {"ref": "hengwdai/mercariprice-h2o", "kernel_id": "26891277"}, {"ref": "hengwdai/mercariprice-autogluon", "kernel_id": "26891358"}, {"ref": "hengwdai/mercariprice-auto3ml", "kernel_id": "26890779"}, {"ref": "hengwdai/mercariprice-data-split", "kernel_id": "26905985"}, {"ref": "tegetegeracing/mercari-sandbox1", "kernel_id": "29759170"}, {"ref": "utkarshx27/price-recommendation", "kernel_id": "36936771"}, {"ref": "fqyexie/gru-25-12-12-with-keras-512-64-relu-sgdr-lb0-432", "kernel_id": "37070258"}, {"ref": "abdullahhosam/mercari-price-suggestion-challenge", "kernel_id": "38041182"}, {"ref": "suraj520/electra-know-train-infer", "kernel_id": "39034568"}, {"ref": "mrfirdauss20/price-prediciton", "kernel_id": "43737932"}, {"ref": "csmohamedayman/ml-numc-mercari-price-suggestion-challenge", "kernel_id": "55377874"}, {"ref": "kwangminki/mercari-price-suggest-ridge-practice-lb-0-46", "kernel_id": "58894872"}, {"ref": "lk8403i/250115-mercari-prices-suggestion", "kernel_id": "74691024"}, {"ref": "csmohamedayman/eda-tab-mercari-price-suggestion-challenge", "kernel_id": "75996843"}, {"ref": "barebyxlol/kaggle-hw-tabular-data-filatov-egor", "kernel_id": "78753844"}, {"ref": "chaimaourgani/text-deduplication-benchmark-tf-idf-ngrams-lsh", "kernel_id": "78635446"}, {"ref": "imsulnetflix/notebooka64e1d861f", "kernel_id": "84731545"}, {"ref": "yarukikun/mercari-yamagata-ver1", "kernel_id": "97373651"}, {"ref": "akai2001/mercari-akai-test2", "kernel_id": "98396262"}, {"ref": "soichiroshido/mercari-shido-lightgbm", "kernel_id": "99365616"}, {"ref": "soichiroshido/mercari-shido-ver3-3pattern", "kernel_id": "101812220"}, {"ref": "vitalyglaz/notebookd61cf5b025", "kernel_id": "101954435"}, {"ref": "akai2001/mercari-akai-top-v2", "kernel_id": "104904956"}, {"ref": "akai2001/mercari-akai-top-keras", "kernel_id": "104899158"}, {"ref": "soichiroshido/mercari-shido-nn-v2", "kernel_id": "104844828"}, {"ref": "soichiroshido/mercari-shido-nn-v3", "kernel_id": "104849312"}, {"ref": "soichiroshido/mercari-shido-nn", "kernel_id": "104045504"}, {"ref": "soichiroshido/mercari-shido-amsamble-nn-ridge-lightgbm-v2", "kernel_id": "105588358"}, {"ref": "soichiroshido/mercari-shido-nn-v4", "kernel_id": "105286968"}, {"ref": "soichiroshido/mercari-shido-mix5050", "kernel_id": "106261645"}, {"ref": "zynptkn06/mercari-price-suggestion", "kernel_id": "114888457"}, {"ref": "yujiyyy/mercari-price-text-eda", "kernel_id": "122602099"}]}
{"competition_id": "7563", "kernels": []}
{"competition_id": "7565", "kernels": []}
{"competition_id": "7572", "kernels": []}
{"competition_id": "7574", "kernels": []}
{"competition_id": "7582", "kernels": []}
{"competition_id": "7592", "kernels": []}
{"competition_id": "7597", "kernels": []}
{"competition_id": "7599", "kernels": []}
{"competition_id": "7633", "kernels": []}
{"competition_id": "7634", "kernels": [{"ref": "holzner/voice-activity-detection-example", "kernel_id": "442456"}, {"ref": "holzner/almost-empty-samples", "kernel_id": "454651"}, {"ref": "holzner/generating-different-colors-of-noise", "kernel_id": "515719"}, {"ref": "holzner/alex-ozerin-s-estimator-for-google-ml-engine", "kernel_id": "521384"}, {"ref": "holzner/recipe-for-training-on-google-ml-engine", "kernel_id": "522118"}, {"ref": "holzner/variational-autoencoder-for-speech-dataset", "kernel_id": "536077"}, {"ref": "holzner/variational-autoencoder-latent-features-analysis", "kernel_id": "536133"}, {"ref": "ivallesp/wavception-v1-a-1-d-inception-approach-lb-0-76", "kernel_id": "495879"}, {"ref": "inversion/silence-is-golden", "kernel_id": "438123"}, {"ref": "efglynn/sound-visualization-for-range-of-amplitudes", "kernel_id": "484786"}, {"ref": "ironbar/frequency-of-the-labels-in-the-public-test-set", "kernel_id": "466158"}, {"ref": "voglinio/keras-directory-iterator-lb-0-72", "kernel_id": "456618"}, {"ref": "voglinio/keras-directory-iterator-wav-to-spectogram", "kernel_id": "448621"}, {"ref": "voglinio/keras-directory-iterator-end-to-end-lb-0-72", "kernel_id": "454167"}, {"ref": "ollmer/labels-spectrograms-exploration", "kernel_id": "439208"}, {"ref": "ezietsman/simple-keras-model-with-data-generator", "kernel_id": "441838"}, {"ref": "robertkag/split-by-user", "kernel_id": "455750"}, {"ref": "CVxTz/audio-data-augmentation", "kernel_id": "466972"}, {"ref": "haqishen/augmentation-methods-for-audio", "kernel_id": "492987"}, {"ref": "alexozerin/end-to-end-baseline-tf-estimator-lb-0-72", "kernel_id": "438759"}, {"ref": "huangruoyu/tf-speech", "kernel_id": "446161"}, {"ref": "jihyeseo/speech-recognition-tensorflow", "kernel_id": "958607"}, {"ref": "alphasis/light-weight-cnn-lb-0-74", "kernel_id": "455226"}, {"ref": "sblack/intro-to-tensorflow-code-for-speech-recognition", "kernel_id": "447483"}, {"ref": "timolee/audio-data-conversion-to-images-eda", "kernel_id": "440572"}, {"ref": "lituanhui77/end-to-end-baseline-tf-estimator-lb-0-72-40cbb7", "kernel_id": "520757"}, {"ref": "ybonde/simple-speech-recognition", "kernel_id": "439629"}, {"ref": "ybonde/log-spectrogram-and-mfcc-filter-bank-example", "kernel_id": "481303"}, {"ref": "sainathadapa/keras-starter-code", "kernel_id": "441007"}, {"ref": "davids1992/speech-representation-and-data-exploration", "kernel_id": "439109"}, {"ref": "hendraherviawan/keras-starter-for-r", "kernel_id": "447626"}, {"ref": "solomonk/pytorch-speech-recognition-challenge-wip", "kernel_id": "439477"}, {"ref": "solomonk/single-wav-fft-entropy", "kernel_id": "439213"}, {"ref": "solomonk/pytorch-resnext-cnn-end-to-end-lb-0-65", "kernel_id": "472173"}, {"ref": "sirivellamadhu/listen-to-audio-files", "kernel_id": "977782"}, {"ref": "rheerhee/speech-dataset-exploration", "kernel_id": "461439"}, {"ref": "sagalich/basic-cnn-with-batch-nom", "kernel_id": "482502"}, {"ref": "intelpen/cochlear-model-train-of-neuron-spikes", "kernel_id": "542533"}, {"ref": "vinvinvin/high-resolution-mel-spectrograms", "kernel_id": "501667"}, {"ref": "nikhilpandey360/tf-speech-recognition-model", "kernel_id": "536734"}, {"ref": "huseinzol05/sound-augmentation-librosa", "kernel_id": "517144"}, {"ref": "pkugoodspeed/try-to-use-rnn", "kernel_id": "513501"}, {"ref": "jamesrequa/convert-wav-to-spectogram", "kernel_id": "438624"}, {"ref": "lucifer19/speech-recognition-challenge-3d-waves-sg", "kernel_id": "450882"}, {"ref": "fwang18/some-basic-concepts-in-voice-recognition", "kernel_id": "460617"}, {"ref": "harryulysses/data-visualization-and-investigation", "kernel_id": "446301"}, {"ref": "zhangdaye/speech-representation-and-data-exploration-78eb77", "kernel_id": "527956"}, {"ref": "tejasshahpuri/tensorflow-first-kernel", "kernel_id": "445987"}, {"ref": "jairomateo/gsound", "kernel_id": "440147"}, {"ref": "revkraft/class-example", "kernel_id": "441001"}, {"ref": "anasvaf/parse-files-mfcc-extraction", "kernel_id": "480858"}, {"ref": "derekdixu/end-to-end-baseline-tf-estimator-lb-0-72-dx", "kernel_id": "472832"}, {"ref": "bluebada/code-test", "kernel_id": "541739"}, {"ref": "liuyanfeiering/speech-representation-and-data-exploration", "kernel_id": "577707"}, {"ref": "ashukr/speech-exploration-1", "kernel_id": "1401124"}, {"ref": "vkuma008/speech-representation-and-data-exploration", "kernel_id": "1594653"}, {"ref": "codebuster/ds-using-rescnn", "kernel_id": "1106275"}, {"ref": "chauhan911/speech-recognition-using-clipped-relu", "kernel_id": "1136650"}, {"ref": "kinyat/speech-recognition", "kernel_id": "1250738"}, {"ref": "mssung94/speech-representation-and-data-exploration", "kernel_id": "1832499"}, {"ref": "kcs93023/keras-sequential-conv1d-model-classification", "kernel_id": "2186328"}, {"ref": "melon1024/data-agumentation", "kernel_id": "2334097"}, {"ref": "stanleydukor/speech-representation-and-data-exploration", "kernel_id": "2884410"}, {"ref": "keisukes/speech-representation-and-data-exploration-ae0f93", "kernel_id": "2954115"}, {"ref": "johntucker/ensemble-model", "kernel_id": "2075630"}, {"ref": "johntucker/stft-model", "kernel_id": "2077207"}, {"ref": "johntucker/speech-evaluator", "kernel_id": "2077597"}, {"ref": "johntucker/speech-recognition-data-processing", "kernel_id": "2070208"}, {"ref": "johntucker/silence", "kernel_id": "2070859"}, {"ref": "johntucker/spect-model", "kernel_id": "2071283"}, {"ref": "mkariithi/speech-representation-and-data-exploration", "kernel_id": "2059422"}, {"ref": "luantm/speed-commands-competition", "kernel_id": "2062701"}, {"ref": "ashukr/model-vgg1d-mel", "kernel_id": "3513539"}, {"ref": "ashukr/model-senet-preprocess-mfcc", "kernel_id": "3512481"}, {"ref": "ashukr/model-resnet-preprocess-mfcc", "kernel_id": "3512519"}, {"ref": "ashukr/model-densenet121-mel", "kernel_id": "3512567"}, {"ref": "ashukr/model-densenet121-mfcc", "kernel_id": "3512935"}, {"ref": "ashukr/model-vgg2d-mfcc", "kernel_id": "3512971"}, {"ref": "ashukr/model-vgg2d-mel", "kernel_id": "3512815"}, {"ref": "ashukr/model-vgg1d-raw", "kernel_id": "3512854"}, {"ref": "ashukr/model-resnet-mel", "kernel_id": "3486052"}, {"ref": "ashukr/model-senet-mel", "kernel_id": "3486132"}, {"ref": "ashukr/fork-of-model-senet-mel-viz", "kernel_id": "3928843"}, {"ref": "ashukr/fork-of-model-senet-preprocess-mfcc-viz", "kernel_id": "3929423"}, {"ref": "sidhant55/sid-of-model-senet-mel-viz", "kernel_id": "3929360"}, {"ref": "hongfu12321/not-good-model-now-but-it-will-be-better-i-guess", "kernel_id": "3402076"}, {"ref": "stanleydukor/audio-data-conversion-to-images-eda-cfc0f9", "kernel_id": "3460434"}, {"ref": "bharat2905/keras-sequential-conv1d-model-classification", "kernel_id": "4661066"}, {"ref": "minhnq/tutorial-how-to-train-asr-on-kaldi-lb-75", "kernel_id": "4685621"}, {"ref": "harsh2040/kernelc7e04e106a", "kernel_id": "4423307"}, {"ref": "harsh2040/speech-recognition", "kernel_id": "4337964"}, {"ref": "wanjian1/speech-representation-and-data-exploration", "kernel_id": "4351460"}, {"ref": "kajler/random-forest-classify", "kernel_id": "4869889"}, {"ref": "sunyuanxi/speech-recognition-keras", "kernel_id": "5252558"}, {"ref": "cse0031/speech-representation-and-data-exploration", "kernel_id": "6722030"}, {"ref": "himanshurawlani/a-cnn-lstm-model", "kernel_id": "6246508"}, {"ref": "hemingwei/tf-speech-reconition-eda", "kernel_id": "6184123"}, {"ref": "hemingwei/optimized-sequential-conv1d", "kernel_id": "6282406"}, {"ref": "pymacbit/speech-to-text-model", "kernel_id": "6894200"}, {"ref": "tduan007/voice-recognition", "kernel_id": "6692397"}, {"ref": "chimichangasguy/speechrecognition", "kernel_id": "6749011"}, {"ref": "atulanandjha/voice-activity-detection-with-webrtcvad-7z-archive", "kernel_id": "7850456"}, {"ref": "nyjoey/speech-to-text", "kernel_id": "7733762"}, {"ref": "samadi10/trigger-word-detection-transformer", "kernel_id": "8666787"}, {"ref": "leemop/speech-competition-hj", "kernel_id": "8227203"}, {"ref": "rishrk007/trigger-word-detection", "kernel_id": "9308405"}, {"ref": "kamraan3301/speech-to-text-practice", "kernel_id": "10719957"}, {"ref": "renanrossi/inf-0619-speech-recognition", "kernel_id": "10761630"}, {"ref": "altanai/voice-activity-detection-with-webrtc", "kernel_id": "11949928"}, {"ref": "harunshimanto/speech-classification-using-cnn", "kernel_id": "11218579"}, {"ref": "marwansalem/tf-speech-recognition", "kernel_id": "11860340"}, {"ref": "pratyushavi/a203-feature-extraction-kaggle", "kernel_id": "11608549"}, {"ref": "leangab/tensorflow-speech-recognition-challenge", "kernel_id": "12137366"}, {"ref": "jovianjaison/ds-using-rescnn", "kernel_id": "13193706"}, {"ref": "hanayoshikage/tf-speech-recognition", "kernel_id": "14359334"}, {"ref": "maitessamahmed/tfsr-fyp", "kernel_id": "14790480"}, {"ref": "prabhavsingh/midas-task1-final", "kernel_id": "16062013"}, {"ref": "prabhavsingh/fork-of-midas-task1-final", "kernel_id": "16111229"}, {"ref": "ajaybhatt/speech-classification", "kernel_id": "16079379"}, {"ref": "aggarwalrahul/nlp-speech-recognition-model-development", "kernel_id": "18504188"}, {"ref": "ucihamartu/speech-representation-and-data-exploration", "kernel_id": "18853378"}, {"ref": "joeelnady/tensorflow-speech-recognition-competition-joe", "kernel_id": "19095106"}, {"ref": "ftrarrahman/speech-command-cnn-and-mfcc", "kernel_id": "20953338"}, {"ref": "andrii0yerko/speech-recognition-challenge", "kernel_id": "20321745"}, {"ref": "joslefaure/speech-command-cnn", "kernel_id": "21312922"}, {"ref": "vassylkorzh/speech-recognition-lb-0-74", "kernel_id": "21136865"}, {"ref": "mariohenriquez/notebook71187e07d7", "kernel_id": "21413526"}, {"ref": "mariohenriquez/nlp-speech-recognition-model-dev", "kernel_id": "21307647"}, {"ref": "shrinivasprasad/nlp-speech-recognition-model-development", "kernel_id": "22537179"}, {"ref": "manojkum/nlp-speech-recognition-model-development", "kernel_id": "23666712"}, {"ref": "mayarmohsen/cnnw7", "kernel_id": "23481000"}, {"ref": "mayarmohsen/cnn-4", "kernel_id": "23538888"}, {"ref": "mayarmohsen/on-off", "kernel_id": "23078650"}, {"ref": "avanipopat/prototype", "kernel_id": "24980388"}, {"ref": "esraaashraf99/speech-recognition", "kernel_id": "24619625"}, {"ref": "esraaashraf99/first-term", "kernel_id": "24647149"}, {"ref": "esraaashraf99/fork-of-speech-recognition-others", "kernel_id": "24989144"}, {"ref": "mayarmohsen/speech-recognition", "kernel_id": "24597150"}, {"ref": "mayarmohsen/fork-of-speech-recognition-b9d474", "kernel_id": "24644158"}, {"ref": "mike272/nlp-project", "kernel_id": "25272874"}, {"ref": "rehamessa/notebook19e7b5cc8c", "kernel_id": "25032806"}, {"ref": "zakikurdya/commands-recognition-with-tensorflow", "kernel_id": "25653325"}, {"ref": "mayarmohsen/5-wordss", "kernel_id": "25304183"}, {"ref": "mayarmohsen/fork-of-speech-recognition-others", "kernel_id": "25156300"}, {"ref": "maiessam/final", "kernel_id": "25015292"}, {"ref": "avanipopat/nnlfalfj", "kernel_id": "26675932"}, {"ref": "mayarmohsen/numbers-cnn", "kernel_id": "26873645"}, {"ref": "mayarmohsen/numbers", "kernel_id": "26500671"}, {"ref": "araspirbadian/voice-command-detection", "kernel_id": "26221674"}, {"ref": "bhaarathwritingworks/speech-command-cnn", "kernel_id": "26688418"}, {"ref": "vincentrey/speech-recognition", "kernel_id": "27491442"}, {"ref": "vijaysimhareddyp/nlp-speech-recognition-model-development", "kernel_id": "27999885"}, {"ref": "mayarmohsen/commands-cnn", "kernel_id": "27060397"}, {"ref": "esraaashraf99/voice-commands-cnn", "kernel_id": "28221972"}, {"ref": "esraaashraf99/voice-commands-ann", "kernel_id": "28222021"}, {"ref": "esraaashraf99/numbers-cnn", "kernel_id": "28221175"}, {"ref": "mayarmohsen/numbers-ann", "kernel_id": "28237361"}, {"ref": "mayarmohsen/numbersyscnn", "kernel_id": "28236552"}, {"ref": "azizaafrin/audio-data-augmentation", "kernel_id": "29179844"}, {"ref": "abiraazmary/audio-data-augmentation", "kernel_id": "29177943"}, {"ref": "zuhebahmed/audio-data-augmentation-zuheb", "kernel_id": "29166444"}, {"ref": "mohamedahmedae/inceptiontime-ctc-models-val-f1socre-0-96", "kernel_id": "30922966"}, {"ref": "isabellazramos/speech-recognition", "kernel_id": "30982381"}, {"ref": "priyanshuagwl/speech-representation-and-data-exploration", "kernel_id": "30660980"}, {"ref": "yessinhaddad/nlp-speech-recognition-model-development", "kernel_id": "31704293"}, {"ref": "fathykhader/speech-recognition", "kernel_id": "33345211"}, {"ref": "faresabbasai2022/speech-recognition", "kernel_id": "33128281"}, {"ref": "syedarizvi31/speech-recognition", "kernel_id": "33698051"}, {"ref": "malvikakoushik2002/speech-representation", "kernel_id": "34806618"}, {"ref": "abbiirr/nlp-speech-recognition-model-development", "kernel_id": "34720886"}, {"ref": "soyansoon/numbersyscnn", "kernel_id": "34082797"}, {"ref": "lakshayadhari/inceptiontime-ctc-models-val-f1socre-0-96", "kernel_id": "34211556"}, {"ref": "naveensgowda/adding-echo-in-audio-and-removing-echo-in-an-audio", "kernel_id": "34636715"}, {"ref": "nilsbriggen/speechpilot", "kernel_id": "35611985"}, {"ref": "prosenjitgoswami/nlp-speech-recognition-model-development", "kernel_id": "35360349"}, {"ref": "adrsnek11/lstm2", "kernel_id": "37577334"}, {"ref": "samfouad/tensorflow-and-speech-recognition", "kernel_id": "37556917"}, {"ref": "maciejpaw/preprocessing-speech-script", "kernel_id": "37610104"}, {"ref": "yosefibrahim/speech-recognition", "kernel_id": "38649446"}, {"ref": "awaliaagustina/speech-command-recognition-using-cnn-and-dnn", "kernel_id": "40108563"}, {"ref": "rajnarayanmishra/new-speech-recognition-model", "kernel_id": "41532931"}, {"ref": "tamakoto/speech-representation-and-data-exploration", "kernel_id": "42352890"}, {"ref": "ramanujasati/voice-recognition", "kernel_id": "44664574"}, {"ref": "evrendurmus/sound-recognition-2dconv", "kernel_id": "44566729"}, {"ref": "nadha12/nlp-speech-recognition-model-development", "kernel_id": "45698367"}, {"ref": "iraikumarans/nlp-speech-recognition-model-development", "kernel_id": "45753275"}, {"ref": "tejaharikrishna/speech", "kernel_id": "51637219"}, {"ref": "priyaspaulzagade/speech-recognition-tensorflow", "kernel_id": "52172015"}, {"ref": "freewifii/5-1d-inception-approach", "kernel_id": "53281362"}, {"ref": "krishna7872/nlp-speech-recognition-model-development", "kernel_id": "56258397"}, {"ref": "seymurqribov/speech-to-text", "kernel_id": "57738183"}, {"ref": "tanteio/speech-recognition-cnn-acc-91", "kernel_id": "59088219"}, {"ref": "tanteio/inceptiontime-ctc-models-val-f1socre-0-96", "kernel_id": "59376707"}, {"ref": "tanteio/fork-of-inceptiontime-ctc-models-val-f1socre-0-96", "kernel_id": "60105093"}, {"ref": "seunghyeokhong/voice-activity-detection-with-webrtc", "kernel_id": "64215122"}, {"ref": "maryampirjamaat/fault-injection-mini-speech-commands", "kernel_id": "64182444"}, {"ref": "rafaelrangel/tensorflow-speech-recognition-challenge", "kernel_id": "65297319"}, {"ref": "mokshbaweja/nlp-speech-recognition-model-development", "kernel_id": "65582322"}, {"ref": "ayushsoam/nlp-speech-recognition-model-development", "kernel_id": "71164430"}, {"ref": "sjiwon028/speech-recognition-task", "kernel_id": "73527218"}, {"ref": "luki12/speech-recognition", "kernel_id": "81479208"}, {"ref": "pagethpageth/speech-command-cnn", "kernel_id": "93497415"}, {"ref": "yadnyeshpatil4/nlp-speech-recognition-model-development", "kernel_id": "93122041"}, {"ref": "haododuc/speech-processing-ch-xltn", "kernel_id": "93483937"}, {"ref": "tthieu0901/speech-command-cnn", "kernel_id": "93497363"}, {"ref": "asmaadsaeed/speech-recognition-challenge-tf", "kernel_id": "98811488"}, {"ref": "aryansharma0104/voice-recognition", "kernel_id": "98726006"}, {"ref": "yaomoayepaulalex/speech-recognition-ml-dl", "kernel_id": "103136349"}, {"ref": "shamaniks/tsrc-with-torch-for-some-reason", "kernel_id": "109673266"}, {"ref": "piotrjurczyk/wav2vec-no-freezing", "kernel_id": "116349379"}, {"ref": "piotrjurczyk/wav2vec-partial-freezing", "kernel_id": "116502593"}, {"ref": "piotrjurczyk/wav2vec-full-freezing", "kernel_id": "116502731"}, {"ref": "piotrjurczyk/wav2vec-gridsearch", "kernel_id": "116569093"}, {"ref": "gantiharshita/25261da906", "kernel_id": "125662796"}, {"ref": "tmhiutv/simple-cnn-score-0-87", "kernel_id": "133054574"}]}
{"competition_id": "7639", "kernels": []}
{"competition_id": "7654", "kernels": []}
{"competition_id": "7659", "kernels": []}
{"competition_id": "7664", "kernels": []}
{"competition_id": "7666", "kernels": []}
{"competition_id": "7669", "kernels": []}
{"competition_id": "7670", "kernels": []}
{"competition_id": "7682", "kernels": []}
{"competition_id": "7683", "kernels": []}
{"competition_id": "7686", "kernels": []}
{"competition_id": "7689", "kernels": []}
{"competition_id": "7693", "kernels": []}
{"competition_id": "7694", "kernels": []}
{"competition_id": "7697", "kernels": []}
{"competition_id": "7702", "kernels": []}
{"competition_id": "7705", "kernels": []}
{"competition_id": "7710", "kernels": []}
{"competition_id": "7711", "kernels": []}
{"competition_id": "7712", "kernels": []}
{"competition_id": "7713", "kernels": []}
{"competition_id": "7714", "kernels": []}
{"competition_id": "7715", "kernels": []}
{"competition_id": "7741", "kernels": []}
{"competition_id": "7747", "kernels": []}
{"competition_id": "7751", "kernels": []}
{"competition_id": "7752", "kernels": []}
{"competition_id": "7753", "kernels": []}
{"competition_id": "7764", "kernels": []}
{"competition_id": "7778", "kernels": []}
{"competition_id": "7785", "kernels": []}
{"competition_id": "7789", "kernels": []}
{"competition_id": "7795", "kernels": []}
{"competition_id": "7810", "kernels": []}
{"competition_id": "7811", "kernels": []}
{"competition_id": "7814", "kernels": []}
{"competition_id": "7816", "kernels": []}
{"competition_id": "7822", "kernels": []}
{"competition_id": "7823", "kernels": []}
{"competition_id": "7827", "kernels": []}
{"competition_id": "7828", "kernels": []}
{"competition_id": "7833", "kernels": []}
{"competition_id": "7835", "kernels": []}
{"competition_id": "7838", "kernels": []}
{"competition_id": "7843", "kernels": []}
{"competition_id": "7844", "kernels": []}
{"competition_id": "7846", "kernels": []}
{"competition_id": "7847", "kernels": []}
{"competition_id": "7859", "kernels": []}
{"competition_id": "7860", "kernels": []}
{"competition_id": "7864", "kernels": []}
{"competition_id": "7867", "kernels": []}
{"competition_id": "7878", "kernels": [{"ref": "diogoff/visualizing-the-detectors", "kernel_id": "968469"}, {"ref": "aamaia/viz-single-event", "kernel_id": "924113"}, {"ref": "festa78/particle-trajectories-in-spherical-coordinate", "kernel_id": "993365"}, {"ref": "mikhailhushchyn/hough-transform", "kernel_id": "941121"}, {"ref": "mikhailhushchyn/knn-approach", "kernel_id": "942107"}, {"ref": "mikhailhushchyn/dbscan-benchmark", "kernel_id": "911742"}, {"ref": "vicensgaitan/r-scoring-function", "kernel_id": "940807"}, {"ref": "enfeizhan/equivalent-trackml-library-codes", "kernel_id": "943684"}, {"ref": "mrbeer/dbscan-benchmark-improvement-0-2099", "kernel_id": "961014"}, {"ref": "artemiosgeromitsos/readnloaddata", "kernel_id": "937963"}, {"ref": "sionek/a-small-leak", "kernel_id": "992751"}, {"ref": "silikhon/cellposition", "kernel_id": "969824"}, {"ref": "afaist/hdbscan-and-scaling-of-the-coordinates", "kernel_id": "980595"}, {"ref": "amitkumarjaiswal/introduction-to-trackml-challenge", "kernel_id": "975128"}, {"ref": "jihyeseo/trackml-eda", "kernel_id": "958294"}, {"ref": "farazrahman/trackml-understanding-events-in-3d", "kernel_id": "924342"}, {"ref": "mbkinaci/detailed-eda", "kernel_id": "934032"}, {"ref": "rdebbe/detector-layout", "kernel_id": "932009"}, {"ref": "alleyvolta/truth-path-preview-trackml", "kernel_id": "965606"}, {"ref": "byfone/dbscan-for-cern", "kernel_id": "937822"}, {"ref": "pranav84/a-beginner-s-guide-to-cern-s-trackml-challenge", "kernel_id": "927865"}, {"ref": "jollibobert/true-tracks-vs-clustered-hits-predicted-tracks", "kernel_id": "952012"}, {"ref": "jollibobert/starter-dbscan-validation-creating-a-submission", "kernel_id": "932566"}, {"ref": "hrmello/trackml-datasets-overview", "kernel_id": "929189"}, {"ref": "matthewmasters/visualize-sample-tracks-from-ground-truth", "kernel_id": "999651"}, {"ref": "tdesfont/lhc-hits-and-3d-plotting-animation", "kernel_id": "968006"}, {"ref": "tdesfont/lhc-sample-layers-visualisation", "kernel_id": "968703"}, {"ref": "tdesfont/lhc-detector-groups-and-volume", "kernel_id": "968303"}, {"ref": "tdesfont/track-ml-process", "kernel_id": "978647"}, {"ref": "muonneutrino/basic-eda-from-a-physicist", "kernel_id": "929622"}, {"ref": "wesamelshamy/trackml-problem-explanation-and-data-exploration", "kernel_id": "925374"}, {"ref": "codename007/a-very-extensive-eda-of-physics-particles-plotly", "kernel_id": "929786"}, {"ref": "nksingh673/eda-for-high-energy-particles", "kernel_id": "930228"}, {"ref": "wpolatkan/trackml-eda-code-along", "kernel_id": "938737"}, {"ref": "meaninglesslives/classifier-hdbscan-helixfitting", "kernel_id": "999234"}, {"ref": "santosh17/simply-eda", "kernel_id": "928132"}, {"ref": "makahana/particle-trajectory-equations-from-a-physicist", "kernel_id": "969029"}, {"ref": "makahana/quick-trajectory-plot", "kernel_id": "928614"}, {"ref": "lasershow/knn-approach", "kernel_id": "988746"}, {"ref": "jbonatt/trackml-eda-etc", "kernel_id": "928736"}, {"ref": "brijbhushannanda1979/kernel7776ae3a20", "kernel_id": "928239"}, {"ref": "asraful70/trackml-problem-explanation-and-data-exploration", "kernel_id": "931818"}, {"ref": "lnkirkham/eda-for-high-energy-particles", "kernel_id": "979758"}, {"ref": "shivamb/trajectory-animation-eda", "kernel_id": "925186"}, {"ref": "yashevde/trackml-problem-explanation-and-data-exploration", "kernel_id": "985025"}, {"ref": "sglasman/particle-tracking", "kernel_id": "991160"}, {"ref": "amjadkarym/source-of-energy-particle", "kernel_id": "981322"}, {"ref": "asalzburger/pixel-detector-cells", "kernel_id": "939304"}, {"ref": "stmnate/hough-transform", "kernel_id": "966726"}, {"ref": "akshay2015/trackml-problem-explanation-and-data-exploration", "kernel_id": "969889"}, {"ref": "nimararora/cell-count-and-sum-vs-track-s-inclination", "kernel_id": "1007997"}, {"ref": "cpmpml/how-weights-are-computed", "kernel_id": "1195635"}, {"ref": "cpmpml/a-faster-python-scoring-function", "kernel_id": "1026082"}, {"ref": "ceshine/quick-trajectory-with-plotly", "kernel_id": "1056312"}, {"ref": "vipinkumar/visualizing-data-with-kdtree-removing-nns", "kernel_id": "1041886"}, {"ref": "scirpus/alternative-tack", "kernel_id": "1356093"}, {"ref": "vicensgaitan/umap-particle-embedding", "kernel_id": "1379781"}, {"ref": "rahulbakshee/trackml-2-solution-example", "kernel_id": "1686604"}, {"ref": "sionek/mod-dbscan-x-100-parallel", "kernel_id": "1012414"}, {"ref": "sionek/bayesian-optimization", "kernel_id": "1135705"}, {"ref": "sionek/score-limit-for-0-0-z", "kernel_id": "1185737"}, {"ref": "danieleewww/bayesian-optimization", "kernel_id": "1142514"}, {"ref": "danieleewww/heng-ck-s-dbscan-lb-0-3745", "kernel_id": "1018906"}, {"ref": "danieleewww/mod-dbscan-0-3472", "kernel_id": "1017047"}, {"ref": "danieleewww/heng-cherkeng-dbscan-lb-0-3745", "kernel_id": "1013476"}, {"ref": "danieleewww/mod-dbscan-0-3472-bbd701", "kernel_id": "1023524"}, {"ref": "danieleewww/nievergelt-helix-fitting", "kernel_id": "1000440"}, {"ref": "danieleewww/mod-dbscan-x-70-parallel", "kernel_id": "1027857"}, {"ref": "danieleewww/mod-dbscan-x-100-parallel-7bc2e9", "kernel_id": "1049696"}, {"ref": "jibaigai/plotly-with-particles-hits", "kernel_id": "1016298"}, {"ref": "macfarll/fork-of-the-chemist-s-score-limit-kernel", "kernel_id": "1187316"}, {"ref": "okhlopkov/attempts-to-struggle-with-clustering", "kernel_id": "1420438"}, {"ref": "ashgillman/knn-benchmark", "kernel_id": "1089719"}, {"ref": "darrellulm/helices-data-cleaning", "kernel_id": "1361153"}, {"ref": "ashishpatel26/dbscan", "kernel_id": "1111874"}, {"ref": "auroralht/create-features-interactive-visualization", "kernel_id": "1027887"}, {"ref": "outrunner/track-ml", "kernel_id": "1376076"}, {"ref": "outrunner/trackml-2-solution", "kernel_id": "1457606"}, {"ref": "outrunner/trackml-2-solution-example", "kernel_id": "1457696"}, {"ref": "wpolatkan/trackml-eda-code-along-2", "kernel_id": "1120863"}, {"ref": "nafisur/knn-approach-935d1f", "kernel_id": "1352783"}, {"ref": "jenishah/exploring-the-data", "kernel_id": "1010256"}, {"ref": "codacus/lhc-particle-data-visualizer", "kernel_id": "1015497"}, {"ref": "jakubguzowski/calculate-angle-of-incidence-based-on-cells-csv", "kernel_id": "1069105"}, {"ref": "alexanderliao/hough-feature-clustering-baseline", "kernel_id": "1403051"}, {"ref": "taaniyaarora/feature-engineering", "kernel_id": "1280684"}, {"ref": "taaniyaarora/eda-and-concept-understanding", "kernel_id": "1226996"}, {"ref": "skooch/bayesian-optimization", "kernel_id": "1260483"}, {"ref": "skooch/dbscan-w-tuned-parameters", "kernel_id": "1261193"}, {"ref": "sergeyzlobin/unrolling-helices-baseline-python", "kernel_id": "1056527"}, {"ref": "bkkaggle/distribution-of-vz", "kernel_id": "1381178"}, {"ref": "yuval6967/7th-place-clustering-extending-ml-merging-0-75", "kernel_id": "1446956"}, {"ref": "ottpeterr/trackml-denoise-then-convnet", "kernel_id": "1006576"}, {"ref": "denisdmitriev/computer-vision-for-trackml", "kernel_id": "1010278"}, {"ref": "osa111/transformation-visualization-fixed", "kernel_id": "1050424"}, {"ref": "khahuras/0-53x-clustering-using-hough-features-basic", "kernel_id": "1347100"}, {"ref": "mjdhamilton/helix-geometry-and-coordinate-transformations", "kernel_id": "1147210"}, {"ref": "dgridokada/trackml-problem-explanation-and-data-exploration", "kernel_id": "1037983"}, {"ref": "plumeria/trackml-analysis", "kernel_id": "1322307"}, {"ref": "hccheng/trackml-problem-explanation-and-data-explor-1040dd", "kernel_id": "2862547"}, {"ref": "adrian1acoran/1-pi-3-14159265358979324-code-7d7348", "kernel_id": "2022096"}, {"ref": "stevenguh/trackml-2-solution-example-pytorch", "kernel_id": "2700890"}, {"ref": "mahadea/course-kernel", "kernel_id": "2811391"}, {"ref": "chhabraankur/track-ml-challenge-graph-analytics", "kernel_id": "3027051"}, {"ref": "rdmisal/what-impacts-on-the-performance-of-students", "kernel_id": "3163485"}, {"ref": "sunnysinghnitb/trackml-particle-tracking-challenge", "kernel_id": "3720143"}, {"ref": "hd4niel/track-ml-submission", "kernel_id": "6584290"}, {"ref": "nielspace/patient-charge-sheet", "kernel_id": "7400736"}, {"ref": "adhoppin/faster-r-cnn-using-pytorch", "kernel_id": "15336128"}, {"ref": "pookyuser/trackml-reproduction", "kernel_id": "108079354"}, {"ref": "hrishikeshthakur7/particletrackusinggnn", "kernel_id": "113036349"}, {"ref": "manuelsnchezrodrguez/trabajo-de-fin-de-grado-con-dnn-y-dbscan", "kernel_id": "121287946"}]}
{"competition_id": "7880", "kernels": [{"ref": "gaborfodor/seedlings-pretrained-keras-models", "kernel_id": "453295"}, {"ref": "inversion/a-maize-ingly-corny-kernel", "kernel_id": "448702"}, {"ref": "kmader/progressive-gans-on-seedlings", "kernel_id": "821006"}, {"ref": "kmader/pretrained-vgg16-w-attention-for-seedlings", "kernel_id": "725387"}, {"ref": "siddique0/classify-seedlings-remove-bg-keras-conv", "kernel_id": "671908"}, {"ref": "fabsta/vgg-starter-prediction-evaluation", "kernel_id": "454624"}, {"ref": "xingyuyang/cnn-with-keras", "kernel_id": "455082"}, {"ref": "dkoops/keras-r-vgg16-base", "kernel_id": "594879"}, {"ref": "jordanmicahbennett/fork-of-plant-seedlings-with-cnn-and-image-process", "kernel_id": "912961"}, {"ref": "ibadia/k-nearest-neighbour-from-scratch", "kernel_id": "685568"}, {"ref": "tayden/vgg-like-seedling-classifier", "kernel_id": "498361"}, {"ref": "kapoyegou1/seedclassfication", "kernel_id": "508720"}, {"ref": "jihyeseo/plant-classify-image", "kernel_id": "958587"}, {"ref": "oysteijo/just-some-simple-train-data-investigation", "kernel_id": "448740"}, {"ref": "solomonk/pytorch-simplenet-augmentation-cnn-lb-0-945", "kernel_id": "461547"}, {"ref": "solomonk/pytorch-senet-augmentation-cnn-lb-0-956", "kernel_id": "721764"}, {"ref": "gaborvecsei/plant-seedlings-fun-with-computer-vision", "kernel_id": "465328"}, {"ref": "gaborvecsei/plants-t-sne", "kernel_id": "467302"}, {"ref": "jianjin/seedling-classification-adoted", "kernel_id": "606301"}, {"ref": "abhishekdogra007/cnn-with-keras-in-progress", "kernel_id": "477878"}, {"ref": "tylercosner/pytorch-starter-pre-trained-resnet50-torchvision", "kernel_id": "457900"}, {"ref": "matrixb/cnn-svm-xgboost", "kernel_id": "730774"}, {"ref": "ianchute/background-removal-cieluv-color-thresholding", "kernel_id": "666292"}, {"ref": "yinhongwei/practices", "kernel_id": "459375"}, {"ref": "jcsosa/kernel0857dd5feb", "kernel_id": "719256"}, {"ref": "shashikant7/image-processing-plant-seedlings-with-cnn", "kernel_id": "703484"}, {"ref": "kozistr/seedlings-densenet-161-48-public-lb-98-236", "kernel_id": "741887"}, {"ref": "liorbrag/xception-2gb-vram-mobilenet-0-96347-lb", "kernel_id": "514895"}, {"ref": "liorbrag/pretrained-xception-on-2gb-gpu-vram-lb-0-95843", "kernel_id": "509551"}, {"ref": "liorbrag/keras-pretrained-xception-0-96977-on-public", "kernel_id": "503174"}, {"ref": "qinhui1999/keras-pretrained-model-pb0-96", "kernel_id": "491979"}, {"ref": "myashish/plant-seedling-classification", "kernel_id": "483786"}, {"ref": "myashish/plant-seedlings", "kernel_id": "483723"}, {"ref": "nikkonst/plant-seedlings-with-cnn-and-image-processing", "kernel_id": "604131"}, {"ref": "echooooo/feature-engineering-and-pre-processing", "kernel_id": "509521"}, {"ref": "dursunkoc/explore-small-cnn", "kernel_id": "767422"}, {"ref": "bonovandoo/advanced-gardening-with-convolutional-nns", "kernel_id": "590200"}, {"ref": "miklgr500/keras-simple-model-0-97103-best-public-score", "kernel_id": "578712"}, {"ref": "raoulma/plants-xception-90-06-test-accuracy", "kernel_id": "533496"}, {"ref": "leilitum/transfer-learning-for-seed-recognization", "kernel_id": "457433"}, {"ref": "arpandhatt/few-shot-learning-competition", "kernel_id": "705450"}, {"ref": "kuntalcse006/plant-seedlings-classification-using-keras", "kernel_id": "901895"}, {"ref": "saeedar/keras-cnn", "kernel_id": "484022"}, {"ref": "thanatoz/plant-seedling", "kernel_id": "890975"}, {"ref": "xalphahelix/plant-seedlings-classification-cnn", "kernel_id": "749577"}, {"ref": "limitpointinf0/crop-vs-weeds", "kernel_id": "530870"}, {"ref": "mnehete32/udacity", "kernel_id": "832715"}, {"ref": "mnehete32/plant-seedlings-classification-pretrained-model", "kernel_id": "697437"}, {"ref": "dingkun/xception-model-training-pipeline-lb-0-9798", "kernel_id": "528007"}, {"ref": "karsal/the-ultimate-seedlings-classifier", "kernel_id": "863607"}, {"ref": "borenamahlet/seedling-classification-cnn-tensorflow", "kernel_id": "624629"}, {"ref": "kborasvm/plant-seedlings-classification", "kernel_id": "678398"}, {"ref": "naveenc131/dense-cnn-model", "kernel_id": "750069"}, {"ref": "kenzhujmhk/seedlings-prepare", "kernel_id": "710811"}, {"ref": "ambarish/plant-seedlings-image-analysis", "kernel_id": "1607315"}, {"ref": "rajeevctrl/plantseedling", "kernel_id": "1419945"}, {"ref": "lbronchal/pretrained-bottlenecks-combination", "kernel_id": "1087125"}, {"ref": "anebzt/plant-seedling", "kernel_id": "1406608"}, {"ref": "ashishpatel26/plant-seed-classification-using-vgg16", "kernel_id": "1055470"}, {"ref": "ashishpatel26/plant-seedling-classification-using-vgg19", "kernel_id": "1068124"}, {"ref": "ashishpatel26/plant-seeding-classification-using-xception", "kernel_id": "1073300"}, {"ref": "keyurparalkar/plant-seedling-classification-score-0-09823", "kernel_id": "1286207"}, {"ref": "amarjeet007/plant-seedlings-classification", "kernel_id": "1181782"}, {"ref": "arvindbhatt/plant-seedling-com", "kernel_id": "1706446"}, {"ref": "sushun/segment-plant-model-build-keras", "kernel_id": "1620006"}, {"ref": "meenavyas/plant-seedlings-classification", "kernel_id": "1225734"}, {"ref": "petert1/using-clustering-for-feature-mining", "kernel_id": "1146739"}, {"ref": "omrialgazi/vgg11-pytorch", "kernel_id": "1575921"}, {"ref": "atrisaxena/keras-plant-seedlings-vgg19-augmentation", "kernel_id": "1658950"}, {"ref": "amralaayassen/plant-seeding-competition-2", "kernel_id": "1349233"}, {"ref": "vipul92/plant-seedling-using-sequential-cnn-keras", "kernel_id": "1546367"}, {"ref": "omkarsabnis/seedling-classification-using-cnn-v13-0-95", "kernel_id": "1020809"}, {"ref": "zhoulingyan0228/seedling-classification-cnn-w-data-augmnt", "kernel_id": "1279710"}, {"ref": "mehradaria/plant-seedling-classification-aria", "kernel_id": "1249733"}, {"ref": "mehradaria/fork-of-plant-seedling-classification-aria", "kernel_id": "1260903"}, {"ref": "abdosoliman2020/plant-seedling-classification", "kernel_id": "1355122"}, {"ref": "josephmomo/kernelf48402b5ec", "kernel_id": "1910291"}, {"ref": "kharbanda/fast-ai-v1", "kernel_id": "2763889"}, {"ref": "tonyzheng/image-classification-plant-seedlings-using-cnns", "kernel_id": "2157602"}, {"ref": "dromosys/fast-ai-v1-focal-loss", "kernel_id": "2871994"}, {"ref": "tejasvdante/plantseedlingresnet", "kernel_id": "2593321"}, {"ref": "tejasvdante/plantseedlingmobilenet", "kernel_id": "2593595"}, {"ref": "tejasvdante/plantseedling-3-model", "kernel_id": "2452721"}, {"ref": "tejasvdante/plantseedlinginception", "kernel_id": "2453675"}, {"ref": "aktaruzzaman/plant-seedling", "kernel_id": "2133148"}, {"ref": "stavshem/seedlings", "kernel_id": "2407948"}, {"ref": "akashpalrecha/classification-with-fastai", "kernel_id": "2630132"}, {"ref": "sahuja295/multi-label-classification-plant-seedlings", "kernel_id": "2000010"}, {"ref": "sourav13/plant-seedlings-classification", "kernel_id": "3437935"}, {"ref": "danielliao/understanding-learner-freeze-to", "kernel_id": "3309395"}, {"ref": "danielliao/understanding-learner-freeze", "kernel_id": "3292607"}, {"ref": "gianfa/plant-seedlings-classification-fastai-v1", "kernel_id": "3124605"}, {"ref": "dineshm2/planet-seedling-classification", "kernel_id": "3204233"}, {"ref": "anuragshas/plant-seedlings", "kernel_id": "3534953"}, {"ref": "pavanireddyv/plant-seedling-classification-cnn", "kernel_id": "3207578"}, {"ref": "aditya100/plant-seedling-classification", "kernel_id": "3566460"}, {"ref": "umangjpatel/plant-seedlings-classification-fast-ai", "kernel_id": "3582525"}, {"ref": "malinivy/plantseedling-cnn-keras-beginner", "kernel_id": "3196733"}, {"ref": "asdadadsada/assignment3", "kernel_id": "3381439"}, {"ref": "masonblier/plant-seedling-simple-cnn", "kernel_id": "3124876"}, {"ref": "pranavpandey2511/plant-seedling-classification", "kernel_id": "4493812"}, {"ref": "zengchang/plantseed", "kernel_id": "4127878"}, {"ref": "dsaichand3/plant-seedling-classification", "kernel_id": "4117131"}, {"ref": "arjunrao2000/seedling-classification-cnn-data-augmentation", "kernel_id": "4142271"}, {"ref": "arpanmalik52/kernel1323606beb", "kernel_id": "4009657"}, {"ref": "christianwallenwein/fastai-baseline-model-plant-seedlings", "kernel_id": "4220357"}, {"ref": "droid021/fast-ai-v1", "kernel_id": "4143083"}, {"ref": "lemondante/seedling-classification-using-cnn-2", "kernel_id": "4766313"}, {"ref": "lemondante/seedling-classification-using-cnn", "kernel_id": "4521472"}, {"ref": "travelpark/seedlings", "kernel_id": "4855809"}, {"ref": "harshdshukla/intern-assignment-2-hd-shukla", "kernel_id": "4000567"}, {"ref": "hemanth16/project-seedlings", "kernel_id": "4208405"}, {"ref": "dachanikartheek/project-seedlings-1", "kernel_id": "4591865"}, {"ref": "ashish369/fastai-model", "kernel_id": "5393658"}, {"ref": "maxboels/plant-seedling-image-processing-and-classification", "kernel_id": "6251605"}, {"ref": "saeedtqp/fork-of-seedlings-pretrained-keras-models-17c208", "kernel_id": "6590206"}, {"ref": "suresrkumar/plant-seedling-using-canny-edge-detection", "kernel_id": "6243661"}, {"ref": "nouradwai/seedlings", "kernel_id": "6413661"}, {"ref": "nouradwai/plant-seedlings-fun-with-computer-vision", "kernel_id": "6416545"}, {"ref": "shubhambavishi/plant-seed-classi", "kernel_id": "6307046"}, {"ref": "fallen123/plant-seed-classification", "kernel_id": "6387137"}, {"ref": "niteshksingh/plant-seedling-cnn-acc-0-96", "kernel_id": "6377036"}, {"ref": "wfosterhall/seedlings-pretrained-keras-models", "kernel_id": "6238203"}, {"ref": "chamathsajeewa/simple-convolution-neural-network", "kernel_id": "7518698"}, {"ref": "reedr1208/seedling-image-classification-using-keras", "kernel_id": "7889529"}, {"ref": "thanatoz/plant-seedling-using-keras", "kernel_id": "7711810"}, {"ref": "kavyajeet/plant-seedling-classification", "kernel_id": "7224015"}, {"ref": "gayankavirathne/plant-seedlings-kaggle", "kernel_id": "7307931"}, {"ref": "praanj/basic-keras-cnn-with-startified-kfold-evaluation", "kernel_id": "7526341"}, {"ref": "praanj/transfer-learning-vgg-19-resnet-50-with-kfold", "kernel_id": "7876655"}, {"ref": "warunaw/cnn-image-classification", "kernel_id": "7795642"}, {"ref": "hanjoonchoe/seedling-quick-inception-v1-googlenet-pytorch", "kernel_id": "7116874"}, {"ref": "hashank/plant-seedlings-classification-cnn", "kernel_id": "7158746"}, {"ref": "mmiikeke/kernel391b63a2c7", "kernel_id": "7944717"}, {"ref": "soyanchan/plant-seedling-classification", "kernel_id": "7477696"}, {"ref": "sergeynesteruk/seedlings-simple-cnn-10-convolutions-0-3acc", "kernel_id": "7410647"}, {"ref": "sergeynesteruk/seedlings-squeezenet", "kernel_id": "7413339"}, {"ref": "sergeynesteruk/seedlings-dataset-pytorch-cnn", "kernel_id": "7385713"}, {"ref": "bryceyu/plants-xception-90-06-test-accuracy", "kernel_id": "7091136"}, {"ref": "weronikadeleuch/kernel2c88928837", "kernel_id": "7095658"}, {"ref": "binuri/plant-seedlings-classification-transferlearn-vgg19", "kernel_id": "8811616"}, {"ref": "warunaw/vgg19-cnn-image-classification", "kernel_id": "8102240"}, {"ref": "warunaw/fork-1-of-cnn-image-classification", "kernel_id": "8083883"}, {"ref": "warunaw/fork-2-of-cnn-image-classification", "kernel_id": "8083808"}, {"ref": "warunaw/fork-3-of-cnn-image-classification", "kernel_id": "8083823"}, {"ref": "warunaw/fork-4-of-cnn-image-classification", "kernel_id": "8083835"}, {"ref": "warunaw/fork-5-of-cnn-image-classification", "kernel_id": "8083847"}, {"ref": "warunaw/fork-6-of-cnn-image-classification", "kernel_id": "8083856"}, {"ref": "modernmariam/plant-seedlings-with-cnn-and-image-processing", "kernel_id": "8589368"}, {"ref": "mohamed22369/classification-v2", "kernel_id": "8502767"}, {"ref": "debasisdotcom/plant-seedling-classification", "kernel_id": "8201025"}, {"ref": "niteshksingh/transfer-learning-xception-96", "kernel_id": "8475751"}, {"ref": "aleksandrazalewska/kernel5f0f42d31e", "kernel_id": "8339730"}, {"ref": "kojiiwase/plant-seeding", "kernel_id": "8200443"}, {"ref": "shravanvemulashravan/plants-seedlings-classification-iv-ii", "kernel_id": "9361864"}, {"ref": "engmahmoudkhaled/plant-seedlings", "kernel_id": "9841147"}, {"ref": "ivanzverev/kernel7973eaf062", "kernel_id": "9968223"}, {"ref": "vickyskarthik/resnet34", "kernel_id": "10833023"}, {"ref": "khaled24/plant-classification-by-transfer-learning-95-acc", "kernel_id": "10899526"}, {"ref": "apollo2506/cnn-basic-model", "kernel_id": "10588766"}, {"ref": "delllectron/plant-seedlings-transfer-learning", "kernel_id": "10585629"}, {"ref": "amritpal333/plants-pca-t-sne", "kernel_id": "10143945"}, {"ref": "abhishekdhingra/plant-seedlings-classification", "kernel_id": "10487863"}, {"ref": "vivek12001/plant-seedling-classification-using-keras", "kernel_id": "10712262"}, {"ref": "ekkirinaldi/cnn-svm-for-plant-seedlings-classifier", "kernel_id": "11971006"}, {"ref": "choewoochul/plant-seedlings-classification-use-karas", "kernel_id": "11768319"}, {"ref": "whoiskk/assignment-6-pre-trained-models", "kernel_id": "11142403"}, {"ref": "nujiydudu/cnn-svm-xgboost-rf", "kernel_id": "11372489"}, {"ref": "desaibhargav/assignment-6-plant-seedling-classification", "kernel_id": "11086842"}, {"ref": "desaibhargav/utils", "kernel_id": "11164917"}, {"ref": "desaibhargav/train", "kernel_id": "11165045"}, {"ref": "ashutoshiitg/fine-tuning-efficientnetb2", "kernel_id": "11725690"}, {"ref": "ashutoshiitg/efficientnet", "kernel_id": "11565765"}, {"ref": "prosthree/seed-classification", "kernel_id": "11378986"}, {"ref": "yogendrayatnalkar/98-val-accuracy", "kernel_id": "11574538"}, {"ref": "abhi150598/101703027-deep-learning-lab", "kernel_id": "11884841"}, {"ref": "rohit0/deep-learning-assignment-rohit-jindal", "kernel_id": "11884045"}, {"ref": "abhishekcodework/keras-plant-seedlings", "kernel_id": "11588100"}, {"ref": "chipmonk/vanillacnn-f1-0-91", "kernel_id": "11579635"}, {"ref": "narasimhakamath/plant-seedlings-classification", "kernel_id": "11168065"}, {"ref": "adeeshajayasooriya/nn-assignment", "kernel_id": "11553602"}, {"ref": "itsampathsl/notebooke1788dc33f", "kernel_id": "11521657"}, {"ref": "vimarshanidesilva/plant-seedling", "kernel_id": "11982268"}, {"ref": "vimarshanidesilva/plant-seedling-classification-vgg19", "kernel_id": "11981280"}, {"ref": "vimarshanidesilva/plant-seedling-classification-cnn", "kernel_id": "11981087"}, {"ref": "rajneeshkumar1/plant-classification", "kernel_id": "11466922"}, {"ref": "bishalkumarshaw/plant-seedling-classification-xception", "kernel_id": "11212072"}, {"ref": "minradavimarshani/neural-network-assignment", "kernel_id": "11107859"}, {"ref": "harshpraharaj98/tensorrt-lite-transfer-learning", "kernel_id": "11705651"}, {"ref": "harshpraharaj98/plantseedling-harsh", "kernel_id": "11120939"}, {"ref": "atharvbagde/assignment6", "kernel_id": "11207402"}, {"ref": "aakashpahuja/cnn-svm-rf", "kernel_id": "11363442"}, {"ref": "sampathx/notebook431fcbd0e1", "kernel_id": "11558462"}, {"ref": "trishnac/assignment-6", "kernel_id": "11592698"}, {"ref": "bhumikagoyal/notebook64d1863fdc", "kernel_id": "11883804"}, {"ref": "kushagrathakral7744/coe14-101703301-kushagra", "kernel_id": "11875654"}, {"ref": "abhinavjindal2805/notebooked321a23d6", "kernel_id": "11883984"}, {"ref": "abhinavjindal2805/image-classification-plant-seedlings-using-0e31f7", "kernel_id": "11876717"}, {"ref": "raghavmagoo/plant-seedling-101703418", "kernel_id": "11864681"}, {"ref": "haymantmangla/deep-learning-assignment", "kernel_id": "11882575"}, {"ref": "harnoorsandhu/deep-learning-assignment-1-101883048", "kernel_id": "11884086"}, {"ref": "rajatgupta101703427/rajatgupta-101703427", "kernel_id": "11882521"}, {"ref": "mkumarbe17/plant-seedlings-with-cnn-and-image-processing", "kernel_id": "11888658"}, {"ref": "cristianfat/the-ml-botanist", "kernel_id": "12155500"}, {"ref": "rajarchi7/assignment-6", "kernel_id": "12088207"}, {"ref": "jitendramalik/working-cnn", "kernel_id": "12273947"}, {"ref": "kwanghoum/deep-4-plant-seedlings-classification", "kernel_id": "12069173"}, {"ref": "yangjiao4v/cnn-with-keras", "kernel_id": "12452613"}, {"ref": "mehmetokuyar/pretrained-vgg16-w-attention-for-seedlings", "kernel_id": "12013116"}, {"ref": "dixitjain/bigdataassignment2", "kernel_id": "12452500"}, {"ref": "rijuvaish/plant-seedlings-12-classes-classification", "kernel_id": "13857043"}, {"ref": "princejaiswal03/plant-seedling-classification", "kernel_id": "13733693"}, {"ref": "elvinagammed/pca-t-sne-3d", "kernel_id": "13049000"}, {"ref": "akashwadhwaai/plant-seedlings-classification", "kernel_id": "13974437"}, {"ref": "akashwadhwaai/cv-with-cnns-r8-cvwithcnn-project", "kernel_id": "13898888"}, {"ref": "rohitkhattar06/plant-seedlings-classification", "kernel_id": "13984161"}, {"ref": "chachiawacef/82-accuracy-plant-seedlings-classification", "kernel_id": "13683040"}, {"ref": "kinsomaz/plant-seedling-classification-using-keras-0-9726", "kernel_id": "13983575"}, {"ref": "phanigundubogula/pg-transfer-learning-resnet50-plant-seedlings", "kernel_id": "13570811"}, {"ref": "dinamasri2020/classifying-plant-seedlings-cnn", "kernel_id": "13694808"}, {"ref": "divyadixit/cnn-classification-using-tf-keras", "kernel_id": "14038268"}, {"ref": "berndhe/plants-fastai2", "kernel_id": "14515298"}, {"ref": "rameela20/transfer-learning-plant-seedlings-classification", "kernel_id": "14241237"}, {"ref": "ashikshafi/plant-seedlings-97-using-fastai", "kernel_id": "14833391"}, {"ref": "patrickpato/conv-neural-nets", "kernel_id": "14064954"}, {"ref": "subhasom/image-classification-on-plant-seedlings", "kernel_id": "14835671"}, {"ref": "thillainathansarubi/plant-seeds-classifier-by-group-ars", "kernel_id": "14301014"}, {"ref": "kaiyungtan/plant-seedlings-classification", "kernel_id": "14061761"}, {"ref": "dawool1218/plant-dl-p", "kernel_id": "14178046"}, {"ref": "mannalkamble/plant-seedling-classification", "kernel_id": "14501091"}, {"ref": "mannalkamble/fork-of-plant-seedling-classification", "kernel_id": "14536409"}, {"ref": "larsmadsen/tf-keras-inception-resnet-v2-97-acc", "kernel_id": "15343042"}, {"ref": "ritikbhatia/inception-resnet", "kernel_id": "15884140"}, {"ref": "kushhhhhh/computer-vision-plants-cnn", "kernel_id": "15790635"}, {"ref": "ilyapozdnyakov/computer-vision-plants-cnn-visualisation", "kernel_id": "15364975"}, {"ref": "synotecai/sklearn-classification", "kernel_id": "15510034"}, {"ref": "artikumari/computer-vision-plants-cnn-visualisation", "kernel_id": "16479827"}, {"ref": "subhasom/tensorflow-advance-plant-seedlings-classification", "kernel_id": "16485440"}, {"ref": "subhasom/plant-seedlings-classification", "kernel_id": "16476774"}, {"ref": "ilyapetruhnov/fastai-92-accuracy", "kernel_id": "16482698"}, {"ref": "abhisheksrathore/plant-seedlings-tutorial-asr", "kernel_id": "17438495"}, {"ref": "shehaninim/computer-vision-plants-cnn-visualisation", "kernel_id": "17909186"}, {"ref": "shehaninim/tensorflow-plant-seedlings-classification", "kernel_id": "17910438"}, {"ref": "lokesharasanjalee/tf-keras-inception-resnet-v2-lr", "kernel_id": "17862476"}, {"ref": "ratul6/predicting-plant-seedlings-classification-xception", "kernel_id": "17404699"}, {"ref": "kyuhwanjung2/plantseedling-basic-week9", "kernel_id": "17219982"}, {"ref": "vivektech/plant-seedlings-classification", "kernel_id": "17301232"}, {"ref": "airadix/cnn-svm-xgboost", "kernel_id": "17006329"}, {"ref": "airadix/cnn-svm-xgboost-rf", "kernel_id": "17042712"}, {"ref": "imanthaahangama/keras-cnn-5-fold-cv-viz-for-output-layer", "kernel_id": "17837462"}, {"ref": "guptavishu1000/using-transfer-learning", "kernel_id": "17685129"}, {"ref": "yashimpi/ml-week-2", "kernel_id": "17557812"}, {"ref": "udit86/notebook63485293ca", "kernel_id": "17692294"}, {"ref": "cs090619/computervision1", "kernel_id": "17060396"}, {"ref": "cs090619/2222222", "kernel_id": "17141962"}, {"ref": "rajakaruna/nn-vgg19", "kernel_id": "17492935"}, {"ref": "atultyagi2310/notebook780a35689e", "kernel_id": "17706893"}, {"ref": "coderuler/plant-seedling", "kernel_id": "17701098"}, {"ref": "coderuler/plant-seedlings", "kernel_id": "17688572"}, {"ref": "tarunguptaa/notebook9cb6b10073", "kernel_id": "17724687"}, {"ref": "nadare/adacos-curricularface-for-tf", "kernel_id": "18375880"}, {"ref": "syamalapadala/plantseedling-detection", "kernel_id": "18013928"}, {"ref": "tns870/plant-seedlings-classification-test", "kernel_id": "18269123"}, {"ref": "alankritkumar/notebookb12f2e9991", "kernel_id": "18295889"}, {"ref": "linjiahua/plant-seedlings-classification-test", "kernel_id": "18990704"}, {"ref": "imanthaahangama2/nn-assignment-02-2-25a08e", "kernel_id": "18229618"}, {"ref": "vithulan/cs5613-cnn-classifier-aorta", "kernel_id": "19933740"}, {"ref": "afsanehm/image-classification-using-pytorch", "kernel_id": "19281070"}, {"ref": "vijaysiyer/seedlings-classification-pytorch-pca-nn", "kernel_id": "19894142"}, {"ref": "aminghanee/plant-seedlings-with-cnn-and-image-processing", "kernel_id": "19692878"}, {"ref": "purusanth/resnet50-transfer-learning", "kernel_id": "20129289"}, {"ref": "vishnuoum/dataset-augmentation-for-seedling-classification", "kernel_id": "20921246"}, {"ref": "akshatkhare23x3/seeding-classification", "kernel_id": "20374243"}, {"ref": "pranjalkumarnandi/baseline-with-keras-tf", "kernel_id": "20851477"}, {"ref": "sanjanathanavel/plant-seedlings-with-cnn-and-image-processing", "kernel_id": "21741540"}, {"ref": "kyuhwanjung2/plantseedling-10-13", "kernel_id": "21198116"}, {"ref": "ramamohanavarma/plant-seedlings-classification-test", "kernel_id": "21619026"}, {"ref": "garimasethia2047535/cnn-svm", "kernel_id": "21991580"}, {"ref": "naman19jain/assignment13", "kernel_id": "21347855"}, {"ref": "patchareeporn/seed-ml", "kernel_id": "21985263"}, {"ref": "atrisaxena/using-tensorflow-2-x-classify-plant-seedlings", "kernel_id": "22789599"}, {"ref": "lilala/resnet50v2-100-epoch-og-image", "kernel_id": "22180110"}, {"ref": "lololl88/after-segmentation", "kernel_id": "22143958"}, {"ref": "cecilialss/notebook77253a4222", "kernel_id": "22337026"}, {"ref": "neenababu/baseline-with-keras-tf", "kernel_id": "22371015"}, {"ref": "getexcelsior/plant-seed-classification", "kernel_id": "22529178"}, {"ref": "ankursaha2021/project-trial", "kernel_id": "22558152"}, {"ref": "ramamohanavarma/notebook77253a4222", "kernel_id": "23013599"}, {"ref": "madhurpatel/image-processing-on-plant-seed", "kernel_id": "23797223"}, {"ref": "vincentyong97/notebooka77ee4c283", "kernel_id": "24485826"}, {"ref": "bimalendumishra/bimalendu-mishra-week-3-assignment", "kernel_id": "24433684"}, {"ref": "arezooyektaparast/plant-seed-classification", "kernel_id": "24332076"}, {"ref": "toughcookie/plant-seedling-classification-inception-mask", "kernel_id": "25254740"}, {"ref": "hussainkk55/notebook9e5c0cdde4", "kernel_id": "25045353"}, {"ref": "ezzaldin6/mobilenetv3-baseline", "kernel_id": "25540882"}, {"ref": "vantran1510/efficientnetv3", "kernel_id": "25995607"}, {"ref": "kyuhwanjung2/plantseedling-2022", "kernel_id": "25664866"}, {"ref": "sharathshebbar/assignment-6-loading-models", "kernel_id": "25180258"}, {"ref": "sharathshebbar/assignment-6-finished", "kernel_id": "25205707"}, {"ref": "bbernoturbiz/p8-plantseedlings", "kernel_id": "25013655"}, {"ref": "hussainkk55/inception-v2-300d", "kernel_id": "26367065"}, {"ref": "hussainkk55/efficientnet-300d", "kernel_id": "26453571"}, {"ref": "hussainkk55/xceptionnet-300d", "kernel_id": "26454037"}, {"ref": "wong1131/limmy-s", "kernel_id": "26357013"}, {"ref": "benrieland/mobilenetv3-baseline", "kernel_id": "26533359"}, {"ref": "sharathshebbar/assignment-10-week-8", "kernel_id": "26040966"}, {"ref": "kyuhwanjung2/plantseedling-0513", "kernel_id": "27027167"}, {"ref": "inyeongkang/simple-cnn-keras-for-beginners", "kernel_id": "27081259"}, {"ref": "mirhyun0508/plant-seedlings-classification-with-cnn", "kernel_id": "27055138"}, {"ref": "billy108502541/tf-keras-vgg16", "kernel_id": "27419561"}, {"ref": "cwonseo/smarcle-cnn-cws", "kernel_id": "27099725"}, {"ref": "alstn38/plant-seedings-classification-practice-from-beluga", "kernel_id": "27051292"}, {"ref": "jackynesdairy/uas-ai-kelompok-3", "kernel_id": "27853250"}, {"ref": "majdikarim/image-processing-segmentation-cnn-inception", "kernel_id": "28309186"}, {"ref": "kinnerakiran/cnn-model-basic-code", "kernel_id": "28500151"}, {"ref": "cican17/plant-seedlings-classification-using-fastai-part2", "kernel_id": "29275862"}, {"ref": "abhishekk728/site-specific-weed-manage-ment-sswm", "kernel_id": "29474108"}, {"ref": "aksh10028/plant-growth-monitoring", "kernel_id": "30902474"}, {"ref": "nattawutchamcheun/dsi206-hakuna-matata", "kernel_id": "31416471"}, {"ref": "gautampamnani/gp-a10", "kernel_id": "31085771"}, {"ref": "timurrashitov/plant-seedlings-custom-cnn-0-97-f1", "kernel_id": "31448768"}, {"ref": "bampenpornsongoen/dsi206-plant-seedlings-classification", "kernel_id": "31962702"}, {"ref": "praewaprasatthai/pj-test", "kernel_id": "32205321"}, {"ref": "rezasaatchi/plant-seedlings-classification-pytorch", "kernel_id": "32149054"}, {"ref": "nutteepimpason/group7-206", "kernel_id": "32426396"}, {"ref": "pxxxnn/plant-seedling-by-nongcake", "kernel_id": "32359721"}, {"ref": "weetharajaemlok/interzonebadminton", "kernel_id": "32605274"}, {"ref": "weetharajaemlok/juststopurcry", "kernel_id": "32608716"}, {"ref": "tatsapoltamchauy/plant-seedlings-classification", "kernel_id": "32609087"}, {"ref": "wichaimacharoen/notebook421ee7c828", "kernel_id": "32096775"}, {"ref": "sirintornphachai/plant-seedlings-classification", "kernel_id": "32590413"}, {"ref": "sirintornphachai/lookkunnhoo-classification", "kernel_id": "32261566"}, {"ref": "sirintornphachai/dsi206-plant-seedlings-classification", "kernel_id": "32505959"}, {"ref": "gollapallirahulsurya/notebook1f31ae2ea7", "kernel_id": "32548820"}, {"ref": "qdpatidar687/plant-seedling-with-augmentations", "kernel_id": "32533843"}, {"ref": "qdpatidar687/resnet18-plant-seedlings-classification", "kernel_id": "32521633"}, {"ref": "siwakornnit/computer-vision-plants-cnn-visualisation", "kernel_id": "32400284"}, {"ref": "siwakornnit/dsi206-project", "kernel_id": "32566514"}, {"ref": "iponyim/seedling-image-classification-using-keras", "kernel_id": "32194061"}, {"ref": "suphisaralimsuthakul/plant-seedlings-classification", "kernel_id": "32169506"}, {"ref": "rct127/dsi206-plantclassification", "kernel_id": "32600067"}, {"ref": "chanchakornyapao/copper", "kernel_id": "32519501"}, {"ref": "onin127/i-lo-milike", "kernel_id": "32597750"}, {"ref": "s107304004/1111dl-xception-v2", "kernel_id": "33838329"}, {"ref": "hanhan68/plant-seedling", "kernel_id": "33974944"}, {"ref": "ayasaadamin/plants-prediction", "kernel_id": "33551129"}, {"ref": "clearlyzero/notebook0cac831049", "kernel_id": "33456953"}, {"ref": "anacardells/resnet50v2-withfinetuning-withdataaug", "kernel_id": "33196017"}, {"ref": "abhinayasaravanan/plant-saplings-classification", "kernel_id": "34191966"}, {"ref": "imnskc/plant-seedlings", "kernel_id": "35085651"}, {"ref": "aurkom/seedling-classification", "kernel_id": "35700107"}, {"ref": "ahmedwael2000/animal-recognition-new-version", "kernel_id": "35109380"}, {"ref": "ahmedwael2000/animal-recognition", "kernel_id": "35040879"}, {"ref": "dipanshu765/plant-seedlings-classification", "kernel_id": "36293890"}, {"ref": "abhishekmukundan/qassignment3-03ecb7", "kernel_id": "36169146"}, {"ref": "abhishekmukundan/qassignment3", "kernel_id": "36150291"}, {"ref": "tadday/plant-classifier-pytorch", "kernel_id": "36423183"}, {"ref": "abrachan/plant-seedlings-classification-by-ml", "kernel_id": "37844846"}, {"ref": "abrachan/plant-seedlings-classification-inception-resnet", "kernel_id": "37902431"}, {"ref": "huskyiiii/notebook8c5d8a518f", "kernel_id": "37674335"}, {"ref": "huskyiiii/ecpkn-zy2224114-dm", "kernel_id": "37668252"}, {"ref": "praewaprasatthai/plantseedling", "kernel_id": "38697735"}, {"ref": "levili888/pytorch-kaggle-quick-qtart-guide-on-plantse-e139ac", "kernel_id": "38670535"}, {"ref": "kanarupan/cnn-image-classifier", "kernel_id": "39931892"}, {"ref": "kanarupan/transfer-learning-using-resnet50", "kernel_id": "39932095"}, {"ref": "kanarupan/cnn-image-classifier-with-dropouts-normalizations", "kernel_id": "40014045"}, {"ref": "lushanthan/transfer-learning-using-resnet", "kernel_id": "40090842"}, {"ref": "sharathhebbars/plantseedling-dataaugmentation-syntheticdata", "kernel_id": "40642045"}, {"ref": "aslhandemir/fides-n-fland-rmas-yapayzeka", "kernel_id": "40032800"}, {"ref": "cengizhanucan/seedlingmaster", "kernel_id": "41881327"}, {"ref": "dkdllakmal/plant-seedlings-classification-with-cnn", "kernel_id": "41413493"}, {"ref": "sandromiczevski/plant-seedling-classification-notebook", "kernel_id": "42431553"}, {"ref": "stopwhispering/plant-seedlings-class-from-img-pytorch-cnn", "kernel_id": "43365617"}, {"ref": "satyajeetjadhav27/using-vgg16", "kernel_id": "43791772"}, {"ref": "satyajeetjadhav27/using-resnet50", "kernel_id": "43795206"}, {"ref": "satyajeetjadhav27/using-inceptionv3", "kernel_id": "43789352"}, {"ref": "pxy2001/tf-keras-inception-resnet-v2-97-acc", "kernel_id": "43251564"}, {"ref": "barrettotte/plant-seedlings-classification-pytorch-resnet18", "kernel_id": "44103590"}, {"ref": "pxy2001/plant-classifier-pytorch", "kernel_id": "44714211"}, {"ref": "zzgghh/machinelearning2", "kernel_id": "44136457"}, {"ref": "neokkk/plant-classifier-pytorch", "kernel_id": "44960456"}, {"ref": "codechild/task1", "kernel_id": "45748129"}, {"ref": "thisishusseinali/plant-seedlings-classification", "kernel_id": "46550747"}, {"ref": "tomcong/feature-engineering-cmy", "kernel_id": "46075671"}, {"ref": "tomcong/using-vgg16", "kernel_id": "46069234"}, {"ref": "harshsachinvaidya/animal-recognition", "kernel_id": "46497008"}, {"ref": "ahel51798/adl-fp-plant-seedlings-classification-01", "kernel_id": "47282788"}, {"ref": "bilal3939/final-code2", "kernel_id": "47172010"}, {"ref": "bilal3939/final-code-v5", "kernel_id": "47309220"}, {"ref": "chathurngadasanayaka/plant-seedlings-classification", "kernel_id": "48788220"}, {"ref": "diaaessam/enhancing-models-scores-through-feature-extraction", "kernel_id": "48401626"}, {"ref": "kelpinnnnnn/terganti", "kernel_id": "50305514"}, {"ref": "vishaljitendrapandey/assignment-3", "kernel_id": "53662257"}, {"ref": "quntrnhongng/pytorch-lightning-resnet", "kernel_id": "55424670"}, {"ref": "mornstar13/plant-seedling-mobilenet", "kernel_id": "55759280"}, {"ref": "desalperterson/enhancing-models-scores-through-feature-extraction", "kernel_id": "55624096"}, {"ref": "tanachotrz10/using-inceptionv3", "kernel_id": "55290336"}, {"ref": "jason0411202/ml-hw5-plant-seedlings-classification", "kernel_id": "55657136"}, {"ref": "falgunichaskar/assignment", "kernel_id": "55155428"}, {"ref": "gabo52/more-than-70-accuracy-with-transfer-learning", "kernel_id": "57137132"}, {"ref": "gabo52/resnet152-80-acc-please-give-recommendations", "kernel_id": "57176746"}, {"ref": "falgunichaskar/assignmen-rough", "kernel_id": "58707282"}, {"ref": "falgunichaskar/assignment7-tensorrt", "kernel_id": "58279393"}, {"ref": "akitsuyoshi/multi-class-classification-in-fastai", "kernel_id": "62682699"}, {"ref": "bilalsaeed06/image-classification-cats-vs-dogs-cnn", "kernel_id": "63217734"}, {"ref": "bohongliu1028/notebook19141fef5f", "kernel_id": "65075696"}, {"ref": "metinhsimimi/plant-seedlings-classification-cnn-85-vgg16-10", "kernel_id": "66252459"}, {"ref": "sukruthipamaiahgari/notebooka061a413ad", "kernel_id": "69159001"}, {"ref": "kroekphondaoloy/plant-seedlings", "kernel_id": "69575649"}, {"ref": "phandai/plant-seedlings-classification-pytorch-resnet18", "kernel_id": "72887304"}, {"ref": "archmound/plant-seedlings-with-cnn-and-image-processing", "kernel_id": "72997975"}, {"ref": "dianallamocaz/plantseedlings-vgg16", "kernel_id": "73675458"}, {"ref": "anhdatas/plant-seedlings-classification-keras-models", "kernel_id": "74808527"}, {"ref": "nguyenquangthinhus/plant-seedlings-classification-pytorch-resnet18", "kernel_id": "76912876"}, {"ref": "gbeminiyionipede/multi-class-output-competiton-approach", "kernel_id": "76599211"}, {"ref": "cptadityavyas/plant-cnn-final", "kernel_id": "78634062"}, {"ref": "aryalakshmip/plant-seddling-classification", "kernel_id": "78192219"}, {"ref": "sarthakworks/plantclassification-transferlearning", "kernel_id": "78179724"}, {"ref": "ssfailearning/plant-seddling-classification", "kernel_id": "81046844"}, {"ref": "theceleste/resnet50", "kernel_id": "81595814"}, {"ref": "tanvishdesai/plant-initial", "kernel_id": "82334283"}, {"ref": "tinkledwivedi/efficient-seedling", "kernel_id": "82410418"}, {"ref": "arefinanwar/seed-dataset", "kernel_id": "83965823"}, {"ref": "sumitduhan/vgg-ipynb", "kernel_id": "83352393"}, {"ref": "vctorgonzlezcobos/plant-seedling-classification-iabd-proyecto-final", "kernel_id": "84656013"}, {"ref": "cenxiwen/notebook8ef9b224fe", "kernel_id": "85744583"}, {"ref": "sezginkyle/plane-seedlings-classification-cnn", "kernel_id": "86627288"}, {"ref": "ayushman23456789000/plant-disease-classification", "kernel_id": "86143334"}, {"ref": "manarabdelgawad/plants-classification", "kernel_id": "88142269"}, {"ref": "mahmoudalkodousy/plant-seeding-classification", "kernel_id": "89324079"}, {"ref": "zackr67/nn-exp1", "kernel_id": "93414625"}, {"ref": "zackr67/nn-exp4", "kernel_id": "93414729"}, {"ref": "quangnguynv/simple-cnn", "kernel_id": "95639199"}, {"ref": "ahmadmohydin/final-one", "kernel_id": "102952129"}, {"ref": "s1kwer/plant-seedlings-classification-zvizdai", "kernel_id": "104801214"}, {"ref": "beareal/plant-seedlings-classification-beatriz-real", "kernel_id": "108792419"}, {"ref": "valevalem/plantulasnotebook", "kernel_id": "108621442"}, {"ref": "danielcabaeromartnez/crops-kaggle", "kernel_id": "108606550"}, {"ref": "gildasedoh/plant-classification-model", "kernel_id": "109193361"}, {"ref": "nelarias/plant-seedlings-classification-tl-cnn-nelson-a", "kernel_id": "110022480"}, {"ref": "aminuxx/taouild-ds", "kernel_id": "111991505"}, {"ref": "yolandagunter/gunter-cm3-project", "kernel_id": "114430038"}, {"ref": "aryankhanuja/finetune-siglip-for-image-classification", "kernel_id": "120944821"}, {"ref": "orionaraf/plant-seedlings-classification", "kernel_id": "120760601"}, {"ref": "aryankhanuja/siglip-optuna-image-classification", "kernel_id": "121031283"}, {"ref": "trk95ls/cv-hackathon-plant-seedling", "kernel_id": "132037022"}]}
{"competition_id": "7886", "kernels": []}
{"competition_id": "7902", "kernels": []}
{"competition_id": "7904", "kernels": []}
{"competition_id": "7908", "kernels": []}
{"competition_id": "7914", "kernels": []}
{"competition_id": "7918", "kernels": []}
{"competition_id": "7919", "kernels": []}
{"competition_id": "7922", "kernels": []}
{"competition_id": "7925", "kernels": []}
{"competition_id": "7928", "kernels": []}
{"competition_id": "7929", "kernels": []}
{"competition_id": "7930", "kernels": []}
{"competition_id": "7932", "kernels": []}
{"competition_id": "7934", "kernels": []}
{"competition_id": "7936", "kernels": []}
{"competition_id": "7941", "kernels": [{"ref": "brandname264/movie-recommendation-ml2017-fall-hw5", "kernel_id": "106394583"}]}
{"competition_id": "7952", "kernels": []}
{"competition_id": "7955", "kernels": []}
{"competition_id": "7968", "kernels": [{"ref": "gourangamath/gouranga-google-quest-q-a-labelling", "kernel_id": "246253"}, {"ref": "konradb/ch4-end-to-end-nlp", "kernel_id": "6818901"}, {"ref": "abhishek/distilbert-use-features-oof", "kernel_id": "6820347"}, {"ref": "abhishek/bert-s-the-word-distillbert", "kernel_id": "6783603"}, {"ref": "abhikjha/bert-with-fastai", "kernel_id": "6801289"}, {"ref": "abhikjha/fastai-google-quest", "kernel_id": "6732760"}, {"ref": "atikur/google-quest-fastai-v1", "kernel_id": "6763542"}, {"ref": "petebleackley/doc2vec-and-keras", "kernel_id": "6763636"}, {"ref": "aninda/thibaut-aninda-fastai-v2", "kernel_id": "6866685"}, {"ref": "labdmitriy/baseline-linear", "kernel_id": "6740049"}, {"ref": "akashram/google-q-a-svr-baseline", "kernel_id": "6836578"}, {"ref": "tunguz/quest-logistic-regression-with-word-char-ngrams", "kernel_id": "6736570"}, {"ref": "tunguz/visualizing-quest-embeddings-with-t-sne", "kernel_id": "6914480"}, {"ref": "tunguz/quest-simple-eda", "kernel_id": "6819448"}, {"ref": "tunguz/quest-ridge-regression-with-word-char-ngrams", "kernel_id": "6767833"}, {"ref": "tunguz/adversarial-quest", "kernel_id": "6829399"}, {"ref": "tunguz/distilbert-use-features-just-the-features", "kernel_id": "6829244"}, {"ref": "ash16win/exploratory-text-analysis-and-feature-addition", "kernel_id": "6841154"}, {"ref": "corochann/google-quest-first-data-introduction", "kernel_id": "6730225"}, {"ref": "corochann/tfidf-swem-approach-number-chars", "kernel_id": "6734253"}, {"ref": "enzoamp/bert-with-fastai-w-explanatory-comments-and-notes", "kernel_id": "6863810"}, {"ref": "enzoamp/nb-svm-strong-linear-baseline-w-category-dummies", "kernel_id": "6730516"}, {"ref": "lhohoz/bert-base-pytorch-inference", "kernel_id": "6803050"}, {"ref": "rsanimesh/google-quest-q-a-labeling-eda-rahul-kr-sinha", "kernel_id": "6903036"}, {"ref": "idv2005/pytorch-bert-baseline", "kernel_id": "6835069"}, {"ref": "jagannathrk/tfidf-swem-approach", "kernel_id": "6746875"}, {"ref": "jagannathrk/distillbert-embeddings-tfidf", "kernel_id": "6762370"}, {"ref": "jagannathrk/google-quest-q-a-labeling-distilbert", "kernel_id": "6826087"}, {"ref": "artgor/pytorch-approach", "kernel_id": "6739631"}, {"ref": "artgor/eda-and-baseline-in-keras", "kernel_id": "6734413"}, {"ref": "seshurajup/eda-quest-q-a", "kernel_id": "6728623"}, {"ref": "adityaecdrid/scrap-me-please", "kernel_id": "6931411"}, {"ref": "axel81/pytorch-bert-baseline", "kernel_id": "6787351"}, {"ref": "codename007/start-from-here-quest-complete-eda-fe", "kernel_id": "6887060"}, {"ref": "ryches/mean-of-categories-benchmark", "kernel_id": "6728979"}, {"ref": "ryches/tfidf-bov-meta-features-simple-model", "kernel_id": "6729668"}, {"ref": "ryches/distillbert-tfidf-keras-dense-nn", "kernel_id": "6746650"}, {"ref": "saivarunk/basic-modelling-for-quest-q-a-using-xgboost", "kernel_id": "6835623"}, {"ref": "manimaranp/quest-simple-trial-with-only-tabular-data", "kernel_id": "6997936"}, {"ref": "manimaranp/quest-labeling-simple-exploration", "kernel_id": "6975594"}, {"ref": "karthik7395/exploratory-data-analysis-google-qa", "kernel_id": "6730869"}, {"ref": "sediment/a-gentle-introduction-eda-tfidf-word2vec", "kernel_id": "6730939"}, {"ref": "hukuda222/tfidf-swem-approach", "kernel_id": "6731026"}, {"ref": "dimitreoliveira/google-quest-eda-and-use-baseline", "kernel_id": "6949312"}, {"ref": "ragnar123/simple-lgbm-solution-baseline", "kernel_id": "6792261"}, {"ref": "viswajithkn/understand-q-a", "kernel_id": "6783075"}, {"ref": "sreekiran096/kernel70b259814e", "kernel_id": "6956468"}, {"ref": "thanatoz/google-quest-micro-eda", "kernel_id": "6757542"}, {"ref": "pavelvpster/google-q-a-labeling-tf-idf-pytorch", "kernel_id": "6732618"}, {"ref": "pavelvpster/google-q-a-labeling-identify-users", "kernel_id": "6844936"}, {"ref": "s2chandel/kernel1564a3b078", "kernel_id": "6923941"}, {"ref": "leighplt/pytorch-torchtext", "kernel_id": "6843186"}, {"ref": "chenshengabc/from-quest-encoding-ensemble-a-little-bit-differen", "kernel_id": "6918032"}, {"ref": "alonalon/hirarchical-attention-with-text-augmentation", "kernel_id": "6739628"}, {"ref": "hamditarek/tfidf-benchmark", "kernel_id": "6731345"}, {"ref": "hamditarek/get-started-with-nlp-lda-lsa", "kernel_id": "6729731"}, {"ref": "abazdyrev/use-features-oof", "kernel_id": "6768864"}, {"ref": "nandhuelan/google-quest-for-nlp-v7", "kernel_id": "6924133"}, {"ref": "shwetagoyal4/exploring-google-quest-data", "kernel_id": "6938306"}, {"ref": "kaushal2896/google-quest-q-a-labeling-eda-fe-modeling", "kernel_id": "6731927"}, {"ref": "carlolepelaars/understanding-the-metric-spearman-s-rho", "kernel_id": "6820936"}, {"ref": "chanhu/updated-quest-lstm-word2sent-handmade-features", "kernel_id": "6752543"}, {"ref": "chanhu/quest-q-a-lstm-baseline", "kernel_id": "6734233"}, {"ref": "mobassir/jigsaw-google-q-a-eda", "kernel_id": "6858560"}, {"ref": "harisan/nlp-google-quest", "kernel_id": "6750761"}, {"ref": "praveeny20/google-quest-q-a-labeling-using-pytorch-tf-idf", "kernel_id": "6955420"}, {"ref": "sohailking786/quest", "kernel_id": "6782885"}, {"ref": "kaerunantoka/distilbert-bm25-distance", "kernel_id": "6839609"}, {"ref": "akensert/quest-bert-base-tf2-0", "kernel_id": "6817764"}, {"ref": "akensert/quest-use-classifier-with-tf-gradienttape", "kernel_id": "6881093"}, {"ref": "ldm314/universal-sentence-encoder-keras-nn", "kernel_id": "6754095"}, {"ref": "ldm314/quest-encoding-ensemble", "kernel_id": "6897395"}, {"ref": "phoenix9032/quest-preprocessing-data-for-embedding", "kernel_id": "6765960"}, {"ref": "phoenix9032/get-started-with-your-questions-eda-model-nn", "kernel_id": "6727890"}, {"ref": "nxhong93/train-bert", "kernel_id": "6955749"}, {"ref": "xhlulu/quest-bigru-inference-kernel", "kernel_id": "6728833"}, {"ref": "xhlulu/quest-bigru-starter-code", "kernel_id": "6727910"}, {"ref": "babubhai/ananya-google-quest", "kernel_id": "6892454"}, {"ref": "aldrickpaul/secret-sauce-for-you", "kernel_id": "6727772"}, {"ref": "aldrickpaul/simple-ltsm-model-keras-and-embedding-enrichment", "kernel_id": "6781479"}, {"ref": "vipulgandhi/bag-of-words-model-for-beginners", "kernel_id": "6707857"}, {"ref": "mashlyn/googlequest-simple-eda", "kernel_id": "6739355"}, {"ref": "mashlyn/sample-submission-benchmark-lb-0-003", "kernel_id": "6728358"}, {"ref": "pednoi/googlequest-bert-baseline", "kernel_id": "6750153"}, {"ref": "codehax41/google-qa-by-keras-nn", "kernel_id": "6840004"}, {"ref": "vinaydoshi/google-q-a-rcnn", "kernel_id": "6836133"}, {"ref": "mmmarchetti/basic-tools-for-text-processing", "kernel_id": "6522872"}, {"ref": "mmmarchetti/jigsaw-google-q-a-eda-iii", "kernel_id": "6658132"}, {"ref": "mmmarchetti/flowers-on-tpu-ii", "kernel_id": "6810482"}, {"ref": "mihais/googleqa-lstm-word2vec", "kernel_id": "6838549"}, {"ref": "hs999518/google-quest-and-label-text", "kernel_id": "6955006"}, {"ref": "meghakapoor/fastai-bert-universal-encoder-tfidf", "kernel_id": "6929054"}, {"ref": "meghakapoor/fastai-with-bert", "kernel_id": "6853865"}, {"ref": "abhishek/bert-inference-of-tpu-model", "kernel_id": "7677158"}, {"ref": "ruhong/google-quest-challenge", "kernel_id": "7673368"}, {"ref": "ceshine/quest-roberta-inference", "kernel_id": "7942621"}, {"ref": "aninda/sklearn-model-rf", "kernel_id": "7781499"}, {"ref": "rashmibanthia/googlequest-inference", "kernel_id": "7920976"}, {"ref": "markpeng/ensemble-5models-v4-v7-magic", "kernel_id": "7915281"}, {"ref": "alexeykarnachev/kernel1864bcfc13", "kernel_id": "7018718"}, {"ref": "sugh93/pytorch-bert-baseline-training", "kernel_id": "7600580"}, {"ref": "cttsai/google-quest-inference-kernel", "kernel_id": "7866842"}, {"ref": "cttsai/google-quest-qa-distilledbert-warm-up-fine-tune", "kernel_id": "7761634"}, {"ref": "mavillan/understanding-the-binary-cross-entropy", "kernel_id": "7690431"}, {"ref": "aerdem4/qa-use-save-model-weights", "kernel_id": "7840651"}, {"ref": "ddanevskyi/1st-place-solution", "kernel_id": "7902674"}, {"ref": "abhijeetbiswasiitb/kernel107f123349", "kernel_id": "7264315"}, {"ref": "ddmitry/google-qa-checking-tokenized-sequence-lengths", "kernel_id": "7236898"}, {"ref": "stitch/albert-huggingface-internet-off-i", "kernel_id": "7355936"}, {"ref": "stitch/roberta-submission-check", "kernel_id": "7479352"}, {"ref": "stitch/albert-in-keras-tf2-using-huggingface-explained", "kernel_id": "7216915"}, {"ref": "stitch/elmo-offline-with-keras-baseline", "kernel_id": "7116641"}, {"ref": "daigohirooka/huggingface-tfbert-for-full-training", "kernel_id": "7561988"}, {"ref": "daigohirooka/huggingface-tfbert-for-full-prediction", "kernel_id": "7573212"}, {"ref": "daigohirooka/tfbert-and-use-feature", "kernel_id": "7686088"}, {"ref": "daigohirooka/huggingface-tfbert-training-double", "kernel_id": "7666446"}, {"ref": "benwiseman/corn-kernel-f-it", "kernel_id": "7916631"}, {"ref": "tanlikesmath/quest-bert-base-pytorch-minimalistic-training", "kernel_id": "7089272"}, {"ref": "a763337092/bert-blending-v1", "kernel_id": "7350285"}, {"ref": "gpreda/the-shakedown-is-comming", "kernel_id": "7899029"}, {"ref": "volody/bert-demo-v2", "kernel_id": "7837902"}, {"ref": "adityaecdrid/pytorch-bert-end-to-end-with-cv", "kernel_id": "7065892"}, {"ref": "adityaecdrid/pytorch-bert-base-minimalistic", "kernel_id": "7027367"}, {"ref": "afajohn/use-tfidf-crazynn-different-approach", "kernel_id": "7920703"}, {"ref": "yekenot/text-gcn-test", "kernel_id": "7742264"}, {"ref": "authman/quest-competition-source-code-preprocessing", "kernel_id": "7944178"}, {"ref": "serigne/bert-qa-deepanxiety-roberta-xlnet-tonghui-backup", "kernel_id": "7878477"}, {"ref": "kirsin/bert-base-pretrained-models", "kernel_id": "7814529"}, {"ref": "kabure/qa-eda-and-nlp-modelling-insights-vis-bert", "kernel_id": "7639477"}, {"ref": "jionie/models-with-optimization-v5", "kernel_id": "7918788"}, {"ref": "jionie/models-without-optimization-v3", "kernel_id": "7914747"}, {"ref": "guchio3/refactored-bert2-robert1-xlnet1-blend-pseudo1", "kernel_id": "7872794"}, {"ref": "zzuczy/kernel49aa114431", "kernel_id": "7757800"}, {"ref": "zzuczy/bert-base-ensemble-pytorch", "kernel_id": "7867192"}, {"ref": "zzuczy/kernel6b256be09d", "kernel_id": "7620734"}, {"ref": "arvissu/simple-bert-pytorch-ver", "kernel_id": "7300419"}, {"ref": "arvissu/simple-pytorch-lstm", "kernel_id": "7206876"}, {"ref": "mnassrib/bert-base-tf2-0-plotting-the-rho-metric", "kernel_id": "7670594"}, {"ref": "ratthachat/quest-cv-analysis-on-different-splitting-methods", "kernel_id": "7013836"}, {"ref": "ratthachat/quest-nlpaug-0-0-11-example", "kernel_id": "7221314"}, {"ref": "nilsine11202/distilbert-use-features-oof", "kernel_id": "7250258"}, {"ref": "m10515009/roberta-simple-example-transformers", "kernel_id": "7711395"}, {"ref": "m10515009/customizedbert-pytorch-version-training", "kernel_id": "7382095"}, {"ref": "shuheigoda/23th-place-solusion", "kernel_id": "7924093"}, {"ref": "tridungduong16/preprocessing-feature-engineering-finetune-bert", "kernel_id": "7505237"}, {"ref": "takamichitoda/26th-place-solution", "kernel_id": "7935284"}, {"ref": "pavelvpster/google-q-a-labeling-bert", "kernel_id": "7301640"}, {"ref": "mathayus1729/kernel7de774bc1a", "kernel_id": "7963885"}, {"ref": "bibek777/bert-base-tf2-0-minimalistic-iii", "kernel_id": "7099909"}, {"ref": "dhirus/dhirus-google-quest", "kernel_id": "7524534"}, {"ref": "dhirus/bert-base-tf2-0-now-huggingface-transformer", "kernel_id": "7745955"}, {"ref": "yuval6967/fast-bert-use-implementation", "kernel_id": "7004097"}, {"ref": "xinyan989/69th-place-solution", "kernel_id": "7893266"}, {"ref": "coolcoder22/simple-lstm-with-cv", "kernel_id": "7725796"}, {"ref": "shubhamsinghgharsele/question-answering-labelling", "kernel_id": "7760217"}, {"ref": "liu123/shake-up-is-good-for-me-yeah", "kernel_id": "7900615"}, {"ref": "khoongweihao/bert-base-tf2-0-minimalistic-ii", "kernel_id": "7037494"}, {"ref": "khoongweihao/bert-base-tf2-0-minimalistic-iii", "kernel_id": "7040767"}, {"ref": "khoongweihao/google-quest-bert-base-tf2-0-training", "kernel_id": "7692002"}, {"ref": "khoongweihao/google-quest-bert-base-tf2-0-inference", "kernel_id": "7694549"}, {"ref": "emanlapponi/qa-labels", "kernel_id": "7174018"}, {"ref": "manyregression/fastai-google-quest-classifier-q-and-a-models", "kernel_id": "7439533"}, {"ref": "manyregression/fastai-no-spacy-transformers-here", "kernel_id": "7344524"}, {"ref": "manyregression/fastai-ulmfit-google-quest-lm", "kernel_id": "7338563"}, {"ref": "manyregression/fastai-ulmfit-google-quest-sp", "kernel_id": "7786251"}, {"ref": "atuage/google-quest-bow-approach", "kernel_id": "7676170"}, {"ref": "vbmokin/qa-prediction-answer-relevance", "kernel_id": "7704687"}, {"ref": "vbmokin/qa-prediction-question-not-really-a-question", "kernel_id": "7704908"}, {"ref": "vbmokin/qa-prediction-answer-plausible", "kernel_id": "7704919"}, {"ref": "nizamuddin/qa-augur", "kernel_id": "7670859"}, {"ref": "bluexleoxgreen/google-quest-inference-groupcv", "kernel_id": "7815020"}, {"ref": "bluexleoxgreen/google-quest-eda-about-some-columns", "kernel_id": "7132663"}, {"ref": "bluexleoxgreen/google-quest-eda", "kernel_id": "7041922"}, {"ref": "bluexleoxgreen/google-quest-inference-kernel", "kernel_id": "7548275"}, {"ref": "nikhilpinn/simple-bert", "kernel_id": "7595130"}, {"ref": "misterion777/qa-bert", "kernel_id": "7686707"}, {"ref": "xenozergnid/kernel5b5a574645", "kernel_id": "7039622"}, {"ref": "buntyshah/google-quest-q-a-labeling-bert-regression", "kernel_id": "7421449"}, {"ref": "buntyshah/google-quest-q-a-labeling-embeddings-glove", "kernel_id": "7197992"}, {"ref": "buntyshah/google-quest-q-a-labeling-hugging-face", "kernel_id": "7753553"}, {"ref": "buntyshah/google-quest-q-a-labeling-8-fold", "kernel_id": "7902890"}, {"ref": "buntyshah/tfbert-ensemble-preprocess-v1", "kernel_id": "7910001"}, {"ref": "gopidurgaprasad/preprocessing-bert-on-google-qa", "kernel_id": "7769964"}, {"ref": "gopidurgaprasad/preprocessing-metadata", "kernel_id": "7923099"}, {"ref": "rohandeysarkar/google-quest-eda-feature-engineering", "kernel_id": "7770740"}, {"ref": "adityaadarsh99/kernel4bf45b5b1a", "kernel_id": "7994218"}, {"ref": "adityaadarsh99/quest-q-a-labeling-exhaustive-eda", "kernel_id": "7696872"}, {"ref": "praveeny20/google-quest-q-a-labeling-using-pytorch", "kernel_id": "7206333"}, {"ref": "kaerunantoka/bert-additional-token-preprocessing", "kernel_id": "7767842"}, {"ref": "sakami/google-quest-single-lstm", "kernel_id": "7924731"}, {"ref": "fenglongyu/qa-label-fenglongyu", "kernel_id": "7742496"}, {"ref": "topchaebol/how-to-get-better-points", "kernel_id": "7790768"}, {"ref": "buaazijian/csv-of-qa", "kernel_id": "7472517"}, {"ref": "mahmudds/google-quest-q-a-labeling", "kernel_id": "7903432"}, {"ref": "phoenix9032/threshold-base-4toru", "kernel_id": "7899052"}, {"ref": "phoenix9032/pytorch-gpt2-plain", "kernel_id": "7530720"}, {"ref": "phoenix9032/pytorch-bert-plain", "kernel_id": "7397799"}, {"ref": "rishisinha19/google-quest-q-a-labeling-v2", "kernel_id": "7300656"}, {"ref": "jacky2wong/fast-ai-spearman-rho-metric-tracking", "kernel_id": "7170288"}, {"ref": "ykojima1989/fine-tune-bert-use-on-sklearn-pipeline", "kernel_id": "7257384"}, {"ref": "team007/google-quest-spelling-feature", "kernel_id": "7971437"}, {"ref": "abhinand05/bert-for-humans-tutorial-baseline-version-2", "kernel_id": "7079976"}, {"ref": "alexsumt/trying-to-learn-by-reading-and-editing", "kernel_id": "7997349"}, {"ref": "paulram/google-quest-q-a-labeling-with-keras", "kernel_id": "7646216"}, {"ref": "subediaarjun/bert-base-pretrained-models-custom1", "kernel_id": "7832450"}, {"ref": "yukitakezawa/tfidf-doc2vec-pytorch", "kernel_id": "7021092"}, {"ref": "maroberti/transformers-model-downloader-pytorch-tf2-0", "kernel_id": "7641454"}, {"ref": "maroberti/load-test-transformers-model-downloader", "kernel_id": "7640789"}, {"ref": "robin111/bert-use-fe-stacking-full-pipeline-v2", "kernel_id": "7849105"}, {"ref": "vaibhavsxn/google-q-a", "kernel_id": "7572015"}, {"ref": "leonshangguan/roberta-single-models-with-optimization", "kernel_id": "7866125"}, {"ref": "melissarajaram/distilbert-fastai-huggingface-transformers", "kernel_id": "7360889"}, {"ref": "melissarajaram/roberta-fastai-huggingface-transformers", "kernel_id": "7025525"}, {"ref": "senoratiramisu/qa-v4", "kernel_id": "7891792"}, {"ref": "ajax0564/qa-eda-and-nlp-modelling-insights-and-data-vis", "kernel_id": "7754368"}, {"ref": "vinaydoshi/google-q-a-lstm", "kernel_id": "7038559"}, {"ref": "vinaydoshi/tf-minimalist-bert-with-last-4-hidden-states", "kernel_id": "7319737"}, {"ref": "vinaydoshi/tfbert-ensemble-preprocess-v1", "kernel_id": "7613444"}, {"ref": "vinaydoshi/tfbert-with-4-hidden-layers-and-preprocessing", "kernel_id": "7432185"}, {"ref": "vinaydoshi/tfbert-ensemble-preprocess-with-2-hidden-layers", "kernel_id": "7767905"}, {"ref": "takiyu/bert-base-tf2-0-add-features", "kernel_id": "7871709"}, {"ref": "saahmathworks/google-quest", "kernel_id": "7130791"}, {"ref": "bags8040/xlnet-classification-demo", "kernel_id": "7047974"}, {"ref": "mmmarchetti/bert-base-tf2-0-now-huggingface-transforme-c82de3", "kernel_id": "7787176"}, {"ref": "mmmarchetti/bert-base-tf2-0-pretreined", "kernel_id": "7789044"}, {"ref": "imoisharma/distilbert-use-features-oof", "kernel_id": "7705845"}, {"ref": "dangepalash2/cricket-eda-and-batting-analysis", "kernel_id": "7079302"}, {"ref": "tangchengshun/bert-tensorflow2-0-10", "kernel_id": "7240226"}, {"ref": "tangchengshun/bert-tensorflow2-0-6", "kernel_id": "7253130"}, {"ref": "tangchengshun/jigsaw-google-q-a-eda-1-3repeat-by-leomessi10", "kernel_id": "7634282"}, {"ref": "tangchengshun/lightgbm-distilbert-tensorflow2-0-pytorch", "kernel_id": "7365402"}, {"ref": "tangchengshun/bert-tf2-0-eda", "kernel_id": "7357782"}, {"ref": "tangchengshun/bert-base-pytorch-inference-1-0", "kernel_id": "7883396"}, {"ref": "tangchengshun/bert-base-pretrained-models2-0", "kernel_id": "7912583"}, {"ref": "bookerd/google-quest-final", "kernel_id": "7889682"}, {"ref": "mahmedds/kernel37cc1f0532", "kernel_id": "7625708"}, {"ref": "abdulsamod1/nlpaug-bert-use-nn-en-ensemble-on-sklearn-pipeline", "kernel_id": "7434832"}, {"ref": "hs999518/kernel7d870d2343", "kernel_id": "7280305"}, {"ref": "takbull/bert-base-pretrained-models", "kernel_id": "7830049"}, {"ref": "ayushyajnik/google-kaggle", "kernel_id": "7281226"}, {"ref": "nayuts/quest-bert-large-tf2-0", "kernel_id": "7882419"}, {"ref": "pyxiea/postprocessing-for-google-quest", "kernel_id": "7939986"}, {"ref": "xianglinguo/bert-mlp1", "kernel_id": "7873872"}, {"ref": "rohitsingh9990/use-metafeatures-oof", "kernel_id": "7108704"}, {"ref": "eliranyan/bert-base-answer-helpful-only", "kernel_id": "7275770"}, {"ref": "najmeghasemi/kernel701d07bd4a", "kernel_id": "7282175"}, {"ref": "meghakapoor/pytorch-bert-base-minimalistic", "kernel_id": "7038407"}, {"ref": "sasidharturaga/google-quest", "kernel_id": "7052814"}, {"ref": "jessormazaespin/simple-implemetation-with-keras-using-wordembd", "kernel_id": "7176560"}, {"ref": "jessormazaespin/kernel-with-word-embeddings", "kernel_id": "7188277"}, {"ref": "jskimkorea/google-quest-practice", "kernel_id": "7718106"}, {"ref": "myphung/bertuned-multilabel-stratified", "kernel_id": "7365874"}, {"ref": "nxrprime/on-a-quest-to-the-perfect-eda", "kernel_id": "7539220"}, {"ref": "nxrprime/jigsaw-google-q-a-eda-ii", "kernel_id": "7606235"}, {"ref": "nxrprime/bert-base-tf2-0-minimalistic-iii", "kernel_id": "7604419"}, {"ref": "nxrprime/kaggle-is-chicken-as-proven-by-bert", "kernel_id": "7886482"}, {"ref": "nxrprime/bert-base-pretrained-models", "kernel_id": "7806347"}, {"ref": "nxrprime/bert-base-tf2-0-training", "kernel_id": "7809626"}, {"ref": "oleggribanov/kernel2b4bca5f57", "kernel_id": "7508096"}, {"ref": "kashnitsky/google-quest-q-a-submit-from-a-csv-file", "kernel_id": "8120168"}, {"ref": "kingsman142/kernel6bf916d64f", "kernel_id": "8741091"}, {"ref": "ruibin/ray-edition", "kernel_id": "8476497"}, {"ref": "bicsuu/use-features-oof", "kernel_id": "8055526"}, {"ref": "rcharan/bert-pytorch", "kernel_id": "8153678"}, {"ref": "amogh05/bert-base", "kernel_id": "8556117"}, {"ref": "nd02110114/end-to-end-bert-training", "kernel_id": "8455240"}, {"ref": "changshengyan/googlequest-baseline", "kernel_id": "8932654"}, {"ref": "changshengyan/googlequest-bert-final", "kernel_id": "8928454"}, {"ref": "malibane1708/bert-inference-of-gpu-model", "kernel_id": "9084781"}, {"ref": "varunsaproo/xlnet-based", "kernel_id": "9978871"}, {"ref": "kfujikawa/attention-visualization", "kernel_id": "9037143"}, {"ref": "neomatrix369/bert-on-steroids-using-pytorch-cpus-tpus", "kernel_id": "9905999"}, {"ref": "rajprakhar/google-quest-architecture-2", "kernel_id": "9672072"}, {"ref": "rajprakhar/google-quest-architecture-1", "kernel_id": "9669868"}, {"ref": "rajprakhar/google-quest-q-a-labelling", "kernel_id": "9243995"}, {"ref": "rajprakhar/bert-huggingface", "kernel_id": "9950952"}, {"ref": "adarshpatankar/eda-and-feature-engineering", "kernel_id": "10117829"}, {"ref": "varunsaproo/google-q-a-using-lstm", "kernel_id": "10896526"}, {"ref": "sarthakvajpayee/top-4-4-bert-roberta-xlnet", "kernel_id": "10860679"}, {"ref": "mansi3296choudhary/baselinemodel", "kernel_id": "10144064"}, {"ref": "mansi3296choudhary/simple-model", "kernel_id": "10172990"}, {"ref": "toothpaste4dinnr/qa-eda-and-nlp-modelling-insights-vis-bert", "kernel_id": "11343834"}, {"ref": "sarthakvajpayee/top-4-4-in-depth-eda-feature-scraping", "kernel_id": "11053998"}, {"ref": "sarthakvajpayee/top-4-4-post-modeling-analysis", "kernel_id": "11058403"}, {"ref": "akshayvispute/lstm-spearman-0-3410", "kernel_id": "11090662"}, {"ref": "aksharag/springboard-capstone-eda", "kernel_id": "12875841"}, {"ref": "alessandrosolbiati/gpu-bert-linear-regression-baseline", "kernel_id": "12226808"}, {"ref": "alessandrosolbiati/gpu-wandb-bert-linear-regression-baseline", "kernel_id": "12651916"}, {"ref": "mlieynua/transformersv2", "kernel_id": "12565188"}, {"ref": "elhamnad/bert-keras", "kernel_id": "12992868"}, {"ref": "elhamnad/models", "kernel_id": "13129170"}, {"ref": "abhilash1910/nlp-workshop-playing-with-transformers", "kernel_id": "14298764"}, {"ref": "ryotaiijima/fork-of-23th-place-solusion-35a1e7", "kernel_id": "14346797"}, {"ref": "guramritpalsaggu/nlp-project-group-18", "kernel_id": "16537099"}, {"ref": "ashrafkhan94/google-quest-q-a-bert-tokenizer", "kernel_id": "16056478"}, {"ref": "abhilash1910/nlp-workshop-ml-india-embeddings-and-models-stat", "kernel_id": "17890454"}, {"ref": "abhilash1910/nlp-workshop-ml-india-deep-graph-learning", "kernel_id": "18324494"}, {"ref": "abhilash1910/nlp-workshop-ml-india-graph-embeddings", "kernel_id": "18109624"}, {"ref": "abhilash1910/nlp-workshop-ml-india-autoregressive-models", "kernel_id": "18119668"}, {"ref": "arpitjjw/notebookd751344e59", "kernel_id": "18666921"}, {"ref": "abhilash1910/spectralembeddings", "kernel_id": "19795603"}, {"ref": "khosiyatsabirova/google-quest-challange", "kernel_id": "19952849"}, {"ref": "naim99/distilbert-use-features-oof", "kernel_id": "20482560"}, {"ref": "operationalamplifier/quest-bert-base-tf2-0", "kernel_id": "20911016"}, {"ref": "pharamund/single-lstm-t1", "kernel_id": "21141921"}, {"ref": "operationalamplifier/quest-transformer", "kernel_id": "21148572"}, {"ref": "noritomowatanabe/googleq-a-tfidf", "kernel_id": "21524760"}, {"ref": "noritomowatanabe/tfidf-benchmark", "kernel_id": "21158115"}, {"ref": "raviteja124536/google-quest-using-bert-roberta-and-xlnet", "kernel_id": "22982499"}, {"ref": "arslanali4343/subjective-quiz-checking", "kernel_id": "22185255"}, {"ref": "utkarsh26/majorv0-2", "kernel_id": "22647633"}, {"ref": "manikanthgoud/google-quest-challenge-data-analysis", "kernel_id": "23606940"}, {"ref": "manikanthgoud/google-quest-challenge-data-preprocessing-fe", "kernel_id": "24528319"}, {"ref": "manikanthgoud/google-quest-challenge-base-model", "kernel_id": "24596941"}, {"ref": "manikanthgoud/google-quest-challenge-base-use", "kernel_id": "24817799"}, {"ref": "manikanthgoud/google-quest-challenge-bert", "kernel_id": "24838152"}, {"ref": "manikanthgoud/google-quest-challenge-final", "kernel_id": "25000823"}, {"ref": "operationalamplifier/quest-pytorch-transformer", "kernel_id": "26172554"}, {"ref": "tanmay1310/pytorch-bert-baseline", "kernel_id": "26944586"}, {"ref": "tanmay1310/major-tf-idf", "kernel_id": "26948343"}, {"ref": "tanmay1310/bert-major-tanmay", "kernel_id": "26948739"}, {"ref": "nomonerdene/bert-use-fe-stacking-full-pipeline-v2", "kernel_id": "27095045"}, {"ref": "hunhcquang/51800993-ho-dang-hai-long-51801014-huynh-duc", "kernel_id": "27193541"}, {"ref": "ntaronty/refactored-bert2-robert1-xlnet1-blend-pseudo1", "kernel_id": "27584893"}, {"ref": "eryash15/google-quest-challenge-classic-ml-algorithms", "kernel_id": "30697121"}, {"ref": "xiefei/understanding-the-metric-spearman-s-rho", "kernel_id": "33208262"}, {"ref": "alexonjr/bag-of-words-model-for-beginners", "kernel_id": "33361419"}, {"ref": "roshitab/graph-neural-network-in-nlp", "kernel_id": "35551732"}, {"ref": "akitsuyoshi/qa-labelling-problem", "kernel_id": "36575908"}, {"ref": "xiefei/chapter11-qanswering", "kernel_id": "38535206"}, {"ref": "suraj520/t5-multi-gpu-know-train-infer", "kernel_id": "38988610"}, {"ref": "suraj520/mobilebert-know-train-infer", "kernel_id": "40232984"}, {"ref": "yassmenyoussef/qa-scoring-tensorflow", "kernel_id": "42582771"}, {"ref": "yassmenyoussef/qa-classical-ml-approach", "kernel_id": "42550001"}, {"ref": "yassmenyoussef/fork-of-qa-pytorch-approach", "kernel_id": "42624477"}, {"ref": "trivohoangminh/inference-google-q-a", "kernel_id": "43998208"}, {"ref": "birsuylmaz/google-quest-q-a-labeling-notebook", "kernel_id": "45324366"}, {"ref": "lmnguyntrn/google-q-a-infenrence", "kernel_id": "47389055"}, {"ref": "shubhamkumar53/google-quest-q-a-distilbert", "kernel_id": "61354014"}, {"ref": "shubhamkumar53/google-quest-q-a-distilbert-roberta-and-xlnet", "kernel_id": "61434689"}, {"ref": "kamranullahafaq/google-quest-q-a-bert-tokenizer", "kernel_id": "73647528"}, {"ref": "ahmedxhamada/google-quest-q-a-labeling", "kernel_id": "85007415"}, {"ref": "b03902130/23th-place-solusion", "kernel_id": "102461725"}, {"ref": "chengyangarthurli/nlp-finalproject", "kernel_id": "102455260"}, {"ref": "n045380/google-quest-q-a-labeling-roberta-large", "kernel_id": "103241296"}, {"ref": "n045380/google-quest-q-a-labeling-deberta-v3-large", "kernel_id": "103188636"}, {"ref": "shengyaoqiu/work-check", "kernel_id": "104286713"}, {"ref": "shengyaoqiu/nlp-final", "kernel_id": "104553646"}, {"ref": "kentselwynthe02/siamese-roberta-large-with-ssl-and-st", "kernel_id": "105321806"}, {"ref": "jerrychen3368/attention-seekers", "kernel_id": "105264896"}, {"ref": "nguyenquangthinhus/google-quest-q-a-labeling-baseline", "kernel_id": "107680592"}, {"ref": "evgendvorkin/textfeat-lgbm-v2", "kernel_id": "108175237"}, {"ref": "cbdsigmas/linear-model-is-all-you-need", "kernel_id": "111749878"}, {"ref": "manihasani/notebookf52d861087", "kernel_id": "121575307"}, {"ref": "nngnamm/roberta", "kernel_id": "135699108"}, {"ref": "nngnamm/ft-roberta", "kernel_id": "135820200"}, {"ref": "hngfmits/bert-huggingface", "kernel_id": "135761024"}, {"ref": "vkhoanguyen/roberta", "kernel_id": "135701846"}, {"ref": "ndhv711/bert-base-retrain-ndhv", "kernel_id": "135783156"}]}
{"competition_id": "7970", "kernels": []}
{"competition_id": "7979", "kernels": []}
{"competition_id": "7984", "kernels": []}
{"competition_id": "7991", "kernels": []}
{"competition_id": "7993", "kernels": []}
{"competition_id": "8009", "kernels": []}
{"competition_id": "8011", "kernels": [{"ref": "mpekalski/fork-of-zfturbo-maxflow-with-mincost-0-94092x", "kernel_id": "499741"}, {"ref": "gaborfodor/santa-gift-matching-first-week", "kernel_id": "501168"}, {"ref": "gaborfodor/improve-with-the-hungarian-method-0-9375", "kernel_id": "491824"}, {"ref": "lemonkoala/greedy-v2", "kernel_id": "504569"}, {"ref": "wendykan/average-normalized-happiness-demo", "kernel_id": "486513"}, {"ref": "inversion/inversion-s-been-nice-benchmark", "kernel_id": "487951"}, {"ref": "selfishgene/nothing-fancy-just-some-heuristics-0-9374", "kernel_id": "493714"}, {"ref": "astraldawn/favour-choice-0-83909", "kernel_id": "488490"}, {"ref": "jeffhebert/greedy-optimization-in-r", "kernel_id": "517905"}, {"ref": "zeta2191622/just-try-to-make-santa-as-unhappy-as-possible", "kernel_id": "535903"}, {"ref": "zeta2191622/how-to-get-a-score-of-0-894-in-two-minutes", "kernel_id": "528871"}, {"ref": "lebroschar/scoring-in-0-2-sec-with-lookup-table-4gb", "kernel_id": "490727"}, {"ref": "dongxu027/path-to-improve-score-hungarian-slowness", "kernel_id": "515984"}, {"ref": "lbronchal/300-faster-average-normalized-happiness-function", "kernel_id": "489311"}, {"ref": "zfturbo/greedy-children-baseline-v2-0-7455", "kernel_id": "488308"}, {"ref": "zfturbo/happiness-vs-gift-popularity-v2-0-89", "kernel_id": "492804"}, {"ref": "zfturbo/max-flow-with-min-cost-v2-0-9267", "kernel_id": "497939"}, {"ref": "zfturbo/efficient-python-ortools-algo-0-9337", "kernel_id": "531378"}, {"ref": "zfturbo/infinite-probabilistic-improver-0-931", "kernel_id": "528071"}, {"ref": "nmud19/santas-acme-optimizer-needs-optimizing", "kernel_id": "501958"}, {"ref": "laurae2/santa-average-normalized-happiness-r-metric-100ms", "kernel_id": "506913"}, {"ref": "giginim/faster-evaluation", "kernel_id": "490742"}, {"ref": "sekrier/50ms-scoring-just-with-numpy", "kernel_id": "491661"}, {"ref": "jihyeseo/santa-gift-match", "kernel_id": "958605"}, {"ref": "ostrowski/44-of-kids-does-not-appear-on-good-kids", "kernel_id": "494324"}, {"ref": "integjs/special-gifts-that-make-child-and-santa-all-happy", "kernel_id": "517052"}, {"ref": "zeemeen/merging-two-kernels-inversion-s-wendy-s", "kernel_id": "488409"}, {"ref": "zeemeen/uniform-filling-of-gift-buckets", "kernel_id": "491377"}, {"ref": "batzner/new-fast-evaluation-metric-22s-0-3s-4-7gb", "kernel_id": "506710"}, {"ref": "batzner/deep-learning-benchmark-0-0439", "kernel_id": "489897"}, {"ref": "batzner/small-dataset-generator", "kernel_id": "490086"}, {"ref": "batzner/c-implementation-for-1-iteration-py-0-9337", "kernel_id": "493515"}, {"ref": "damsgroup/exploratory-analysis-of-the-data", "kernel_id": "497779"}, {"ref": "lugark/ho-ho-datahackers", "kernel_id": "489992"}, {"ref": "kmsravindra/baseline-maximizing-children-happiness", "kernel_id": "510456"}, {"ref": "pkugoodspeed/simulated-annealing-c-implementation-but-slow", "kernel_id": "509744"}, {"ref": "pkugoodspeed/simulated-annealing-implemented-using-c", "kernel_id": "509361"}, {"ref": "pkugoodspeed/notebook40287402e2", "kernel_id": "508173"}, {"ref": "louis925/explore-your-result", "kernel_id": "526731"}, {"ref": "namayaki/santa-gift-matching-greedy", "kernel_id": "495359"}, {"ref": "lucifer19/1000-x-10-preferences", "kernel_id": "490162"}, {"ref": "iamprateek/christmas-submission", "kernel_id": "492922"}, {"ref": "bibinpaul/first-kernel-on-santa-gift-matching-challenge", "kernel_id": "510032"}, {"ref": "golubev/1-iteration-py-after-night-c-0-9337", "kernel_id": "492279"}, {"ref": "golubev/simple-example-mip-ortools-cbc", "kernel_id": "489835"}, {"ref": "golubev/simple-example-min-cost-flow", "kernel_id": "498869"}, {"ref": "alturutin/anh-metric-v2-competition-numba", "kernel_id": "506814"}, {"ref": "submarineering/submarineering-xmas", "kernel_id": "514504"}, {"ref": "jacksapper/faster-hungarian-1-4it-sec-3-1it-sec-0-9372", "kernel_id": "494041"}, {"ref": "jacksapper/give-me-the-santa-data", "kernel_id": "497568"}, {"ref": "junyawatanabe/overviewing-dataset", "kernel_id": "499422"}, {"ref": "glenslade/baseline-python-ortools-algo-0-933795", "kernel_id": "528256"}, {"ref": "rilwen/stable-matching-in-c", "kernel_id": "535156"}, {"ref": "msieczkowski/alhe-santa-gift-matching", "kernel_id": "2594967"}, {"ref": "emmayylu/getting-average-normalized-happiness", "kernel_id": "4123376"}, {"ref": "robertostojalniski/fork-of-prezenty-mikolaja-a5a662", "kernel_id": "10116390"}, {"ref": "maciejkasprzyk/fork-of-prezenty-mikolaja-a5a662", "kernel_id": "10000160"}]}
{"competition_id": "8027", "kernels": []}
{"competition_id": "8032", "kernels": []}
{"competition_id": "8048", "kernels": []}
{"competition_id": "8049", "kernels": []}
{"competition_id": "8050", "kernels": []}
{"competition_id": "8067", "kernels": []}
{"competition_id": "8069", "kernels": []}
{"competition_id": "8076", "kernels": [{"ref": "konradb/nb-svm-kernel-combo-lb-0-9816", "kernel_id": "685510"}, {"ref": "konradb/adversarial-validation", "kernel_id": "688107"}, {"ref": "jhoward/nb-svm-strong-linear-baseline", "kernel_id": "499316"}, {"ref": "jhoward/minimal-lstm-nb-svm-baseline-ensemble", "kernel_id": "509364"}, {"ref": "jhoward/improved-lstm-baseline-glove-dropout", "kernel_id": "511197"}, {"ref": "abhishek/blender", "kernel_id": "734153"}, {"ref": "tks0123456789/word-phrase-importance", "kernel_id": "546993"}, {"ref": "larryfreeman/toxic-comments-code-for-alexander-s-9872-model", "kernel_id": "820538"}, {"ref": "anttip/wordbatch-1-3-3-fm-ftrl-lb-0-9812", "kernel_id": "715887"}, {"ref": "mschumacher/using-fasttext-models-for-robust-embeddings", "kernel_id": "604344"}, {"ref": "vykhand/toxic-fortune-cookie", "kernel_id": "665763"}, {"ref": "volker48/toxic-comments-feature-engineering-v2", "kernel_id": "740493"}, {"ref": "mkowoods/eda-baseline-pred-for-class-toxic-roc-auc-0-945", "kernel_id": "665565"}, {"ref": "kmader/toxic-emojis", "kernel_id": "500932"}, {"ref": "kmader/text-classification-with-atrous-convolutions", "kernel_id": "500316"}, {"ref": "kmader/character-level-cnn-classification-with-dilations", "kernel_id": "500908"}, {"ref": "sergeifironov/eli5-for-toxic", "kernel_id": "674646"}, {"ref": "sergeifironov/cnn-glove300-3-oof-3-epochs", "kernel_id": "671968"}, {"ref": "takahiroanno/ip-address-analysis", "kernel_id": "549868"}, {"ref": "skthetwo/cnn-lstm-eda-lb-0-067", "kernel_id": "579175"}, {"ref": "xufei1/nb-svm-strong-linear-baseline", "kernel_id": "678620"}, {"ref": "ginotesei/logistic-regression-0-055-lb", "kernel_id": "501365"}, {"ref": "kailex/tidy-xgboost-glmnet-text2vec-lsa", "kernel_id": "663644"}, {"ref": "ritupande/ltsm-for-text-classication", "kernel_id": "830760"}, {"ref": "tokestermw/deep-bow-baseline", "kernel_id": "512722"}, {"ref": "ofentswe/toxic-classification-challenge-accepted", "kernel_id": "556716"}, {"ref": "ofentswe/onevsrest-classification-for-start", "kernel_id": "597816"}, {"ref": "atikur/simple-gru-with-fasttext-lb-0-9847", "kernel_id": "729147"}, {"ref": "ambarish/toxic-comments-eda-and-xgb-modelling", "kernel_id": "505081"}, {"ref": "danofer/preprocess-toxic-comments-data-nb-svm-baseline", "kernel_id": "499682"}, {"ref": "danofer/naive-stacking-baseline", "kernel_id": "499383"}, {"ref": "danofer/nb-svm-baseline-fork", "kernel_id": "499599"}, {"ref": "loveall/simple-lightgbm-classifier", "kernel_id": "501604"}, {"ref": "rdoume/exploration-with-fasttext", "kernel_id": "510554"}, {"ref": "brandenkmurray/h2o-word2vec-starter-toxic-comments", "kernel_id": "501452"}, {"ref": "khareprashant/capsule-net-with-gru", "kernel_id": "745790"}, {"ref": "ryanzhang/2dcnn-bi-gru-dense-slow-can-reach-9850", "kernel_id": "728059"}, {"ref": "quantumdamage/toxic", "kernel_id": "613007"}, {"ref": "sulgik/basic-model-can-do-more-than-you-think", "kernel_id": "579516"}, {"ref": "min2bro/comment-classification-using-logistic-regression", "kernel_id": "926527"}, {"ref": "jakubczakon/out-of-fold-predictions-for-stacking", "kernel_id": "732935"}, {"ref": "pappukrjha/lrm-fast-vowpal-wabbit-implementation", "kernel_id": "733285"}, {"ref": "pappukrjha/rf-tfidf-word-char-lb-945", "kernel_id": "740975"}, {"ref": "pappukrjha/log-reg-auc-98795", "kernel_id": "725132"}, {"ref": "pappukrjha/multi-layer-perceptron-classifier-lb9623", "kernel_id": "748679"}, {"ref": "edrushton/removing-dates-data-cleaning", "kernel_id": "604409"}, {"ref": "nazimamzz/comments-text-cleaning-for-beginners", "kernel_id": "533387"}, {"ref": "peterhurford/lightgbm-with-select-k-best-on-tfidf", "kernel_id": "686751"}, {"ref": "peterhurford/eli5-what-s-different-about-the-test-set-eda", "kernel_id": "689836"}, {"ref": "peterhurford/lgb-gru-lr-lstm-nb-svm-average-ensemble", "kernel_id": "688903"}, {"ref": "prakashpvss/word-clouds-eda", "kernel_id": "503606"}, {"ref": "andrewmatte/w2v-into-3-layer-gru-with-relu-output", "kernel_id": "710854"}, {"ref": "danielsafai/cnn-implementation-of-yoon-kim-s-model", "kernel_id": "533773"}, {"ref": "danielsafai/notebooke562902c99", "kernel_id": "533808"}, {"ref": "cartographic/minimal-text2vec", "kernel_id": "634775"}, {"ref": "vsmolyakov/keras-cnn-with-fasttext-embeddings", "kernel_id": "516604"}, {"ref": "madcap/toxic-exploration", "kernel_id": "504570"}, {"ref": "abhi111/naive-bayes-baseline-and-logistic-regression", "kernel_id": "750995"}, {"ref": "zurman/blstm-glove", "kernel_id": "668823"}, {"ref": "sermakarevich/sklearn-pipelines-tutorial", "kernel_id": "701349"}, {"ref": "sermakarevich/words-polarity-based-on-lr-weights", "kernel_id": "685642"}, {"ref": "sermakarevich/hierarchical-attention-network", "kernel_id": "724321"}, {"ref": "inoryy/fast-glove-data-import-multiprocessing", "kernel_id": "519340"}, {"ref": "maheshdadhich/toxic-paradise-for-data-scientists", "kernel_id": "499349"}, {"ref": "iezepov/the-worst-comment-ever-via-linear-model-lb-0-052", "kernel_id": "503643"}, {"ref": "sanghan/attention-with-fasttext-embeddings", "kernel_id": "679249"}, {"ref": "ladylovelace/hight-of-blend-v2-7d69d7", "kernel_id": "708477"}, {"ref": "maksimovka/fork-of-blend-it-al-ensamble", "kernel_id": "732943"}, {"ref": "linawolf/fork-of-data-analysis", "kernel_id": "706110"}, {"ref": "loganathanspr/toxic-comments-insight-into-datasets", "kernel_id": "503880"}, {"ref": "fcostartistican/don-t-mess-with-my-mothjer", "kernel_id": "499746"}, {"ref": "rahuld/classifying-multi-label-comments-0-9741-lb", "kernel_id": "628493"}, {"ref": "guosch/toxic-comment", "kernel_id": "689698"}, {"ref": "sterby/fasttext-like-baseline-with-keras-lb-0-053", "kernel_id": "499263"}, {"ref": "wangsg/hand-by-hand-to-solve-nlp-problem", "kernel_id": "586140"}, {"ref": "ksayantani/toxic-comments", "kernel_id": "517150"}, {"ref": "ksayantani/notebook16c0eb2471", "kernel_id": "521072"}, {"ref": "gimunu/tf-idf-cv-tuned-logistic-regression", "kernel_id": "630248"}, {"ref": "jpmiller/augmenting-the-data", "kernel_id": "569560"}, {"ref": "jpmiller/seeing-toxicity-with-lda-t-sne", "kernel_id": "612711"}, {"ref": "paulofelipe/logistic-regression-with-nb-features", "kernel_id": "518064"}, {"ref": "tejasrinivas/xgb-baseline-comments-classification", "kernel_id": "499674"}, {"ref": "adityavcse/toxic-comment-tdidfvectorizer", "kernel_id": "678050"}, {"ref": "nulldata/identity-attack-poor-americans-pakistanis-germans", "kernel_id": "501081"}, {"ref": "arturlacerda/nbsvm-with-classifierchain-ensemble-lb-0-9786", "kernel_id": "751542"}, {"ref": "cdubuz/keras-cnn-rnn-0-051-lb", "kernel_id": "509634"}, {"ref": "agavranis/toxic-avenger-0-979", "kernel_id": "580785"}, {"ref": "hhstrand/oof-stacking-regime", "kernel_id": "719763"}, {"ref": "hhstrand/hillclimb-ensembling", "kernel_id": "749022"}, {"ref": "danielokeeffe/simple-text-classification-with-apache-spark", "kernel_id": "559591"}, {"ref": "qqgeogor/keras-lstm-attention-glove840b-lb-0-043", "kernel_id": "506016"}, {"ref": "amachno/word-frequencies", "kernel_id": "643525"}, {"ref": "amachno/words-which-are-repeated", "kernel_id": "614227"}, {"ref": "amachno/capital-letters", "kernel_id": "613077"}, {"ref": "amachno/comments-polarity", "kernel_id": "661902"}, {"ref": "CVxTz/keras-bidirectional-lstm-baseline-lb-0-069", "kernel_id": "499449"}, {"ref": "nime1466/exploring-train-data", "kernel_id": "548303"}, {"ref": "tunguz/logistic-regression-tfidf", "kernel_id": "550896"}, {"ref": "tunguz/logistic-regression-with-words-and-char-n-grams", "kernel_id": "598159"}, {"ref": "tunguz/fork-of-cnn-glove300-5-oof-4-epochs-2", "kernel_id": "751244"}, {"ref": "tunguz/new-script-with-gpu", "kernel_id": "822357"}, {"ref": "tunguz/blend-of-blends-1", "kernel_id": "689068"}, {"ref": "tunguz/pooled-gru-fasttext-adversarial", "kernel_id": "688544"}, {"ref": "tunguz/pooled-gru-glove-trainable-3-epochs", "kernel_id": "686306"}, {"ref": "tunguz/pooled-gru-glove-3-epochs", "kernel_id": "686572"}, {"ref": "tunguz/cnn-glove300-3-oof-4-epochs", "kernel_id": "708289"}, {"ref": "tunguz/5-fold-tuned-logreg-oof-files", "kernel_id": "727443"}, {"ref": "tunguz/cnn-glove300-5-oof-4-epochs", "kernel_id": "727449"}, {"ref": "tunguz/3-fold-tuned-logreg-oof-files", "kernel_id": "710323"}, {"ref": "tunguz/bi-gru-cnn-poolings-gpu-kernel-version", "kernel_id": "972206"}, {"ref": "rahulvks/cnn-2d", "kernel_id": "732873"}, {"ref": "indhira/learning", "kernel_id": "708633"}, {"ref": "rbhambri/word-embeddings-with-gensim-visualistion", "kernel_id": "525675"}, {"ref": "johnfarrell/tfidf-3layers-mlp-from-mercari", "kernel_id": "677831"}, {"ref": "bitthal/rnn-1", "kernel_id": "570626"}, {"ref": "bitthal/cnn-lstm-eda-lb-0-067", "kernel_id": "583490"}, {"ref": "vasilis73/nnet-classification", "kernel_id": "500660"}, {"ref": "vasilis73/keras-classification", "kernel_id": "522067"}, {"ref": "sjoly123/baselogistic-improved-top-score", "kernel_id": "516902"}, {"ref": "amitkumarjaiswal/toxic-model", "kernel_id": "746760"}, {"ref": "amitkumarjaiswal/svm-toxic", "kernel_id": "732590"}, {"ref": "amitkumarjaiswal/toxic-super-blend", "kernel_id": "751243"}, {"ref": "amitkumarjaiswal/toxic-destroyer", "kernel_id": "751386"}, {"ref": "amitkumarjaiswal/toxic-ridge", "kernel_id": "750444"}, {"ref": "etmoseley/toxic-comment-bow-lr-with-submission", "kernel_id": "684191"}, {"ref": "jagangupta/stop-the-s-toxic-comments-eda", "kernel_id": "505100"}, {"ref": "jagangupta/understanding-the-topic-of-toxicity", "kernel_id": "553559"}, {"ref": "jagangupta/lessons-from-toxic-blending-is-the-new-sexy", "kernel_id": "741794"}, {"ref": "yk1598/symspell-spell-corrector", "kernel_id": "718313"}, {"ref": "sart123/notebook9ac0c4914f", "kernel_id": "575127"}, {"ref": "sart123/rnn-for-classification-toxic", "kernel_id": "575247"}, {"ref": "ogrellier/wordbatch-fm-ftrl-using-mse-lb-0-9804", "kernel_id": "709290"}, {"ref": "ogrellier/adversarial-validation-and-lb-shakeup", "kernel_id": "715341"}, {"ref": "ogrellier/things-you-need-to-be-aware-of-before-stacking", "kernel_id": "706159"}, {"ref": "ogrellier/lgbm-with-words-and-chars-n-gram", "kernel_id": "683496"}, {"ref": "ogrellier/check-unicode-script-distribution", "kernel_id": "687367"}, {"ref": "chenpengda/oof-stacking-for-true-cv-scores", "kernel_id": "750113"}, {"ref": "smrutiranjan/nb-svm-strong-linear-baseline", "kernel_id": "876769"}, {"ref": "robwishart/from-model", "kernel_id": "719509"}, {"ref": "poigal/cnn-on-word2vec-word-embedding", "kernel_id": "913435"}, {"ref": "poigal/ann-on-tfidf", "kernel_id": "914124"}, {"ref": "poigal/cnn-on-glove-word-embedding", "kernel_id": "913979"}, {"ref": "poigal/rnn-for-classification", "kernel_id": "915115"}, {"ref": "gonzalo90/bi-cnn-poolings-lstm-test-modified-all", "kernel_id": "735025"}, {"ref": "mamamot/exploring-interrelations-between-classes", "kernel_id": "501378"}, {"ref": "mamamot/finding-most-toxic-words", "kernel_id": "499654"}, {"ref": "mamamot/character-based-lstm", "kernel_id": "509566"}, {"ref": "shujian/stack-1-wordbatch-1-3-3-fm-ftrl-3", "kernel_id": "727367"}, {"ref": "shujian/pooled-gru-glove-trainable", "kernel_id": "682040"}, {"ref": "michaelsnell/conv1d-dpcnn-in-keras", "kernel_id": "726570"}, {"ref": "mauropelucchi/text2vec-and-glm-for-toxicity-detection", "kernel_id": "685086"}, {"ref": "mauropelucchi/comments-style-and-toxicity-plot-and-questions", "kernel_id": "683698"}, {"ref": "mauropelucchi/h2o-gradient-boosting-machine-for-toxic-comments", "kernel_id": "676807"}, {"ref": "mauropelucchi/a-novel-story-from-exploration-of-toxic-comments", "kernel_id": "671353"}, {"ref": "tilii7/tuned-logreg-oof-files", "kernel_id": "707691"}, {"ref": "tilii7/yaba-yet-another-blender-analyzer", "kernel_id": "734211"}, {"ref": "grihabor/logistic-regression-with-words-and-char-n-grams", "kernel_id": "729682"}, {"ref": "devm2024/cnn-lstm-eda-lb-0-067", "kernel_id": "577454"}, {"ref": "jihyeseo/toxic-comment-classify", "kernel_id": "958588"}, {"ref": "pureheart/kernelc64a1cde33", "kernel_id": "680000"}, {"ref": "gavarnamarn/nb-svm-strong-linear-baseline", "kernel_id": "979935"}, {"ref": "raghu7711/minimal-lstm-nb-svm-baseline-ensemble-6bc62a", "kernel_id": "680637"}, {"ref": "umbertogriffo/cnn-yoon-kim-s-model-and-google-s-word2vec-model", "kernel_id": "604201"}, {"ref": "umbertogriffo/combined-gru-and-cnn-fasttext-badwords", "kernel_id": "696979"}, {"ref": "hoteimat/a-simple-naive-approach", "kernel_id": "578323"}, {"ref": "mosnoiion/two-rnn-cnn-columns-networks-with-keras", "kernel_id": "715910"}, {"ref": "mosnoiion/glove300-embeddings-1d-conv-1d-max-pooling", "kernel_id": "724007"}, {"ref": "mosnoiion/toxic-comments-classification-group-12", "kernel_id": "865859"}, {"ref": "sohaibomar/making-adversarial-set", "kernel_id": "716968"}, {"ref": "tourist800/toxic-comment-classification-challenge", "kernel_id": "535203"}, {"ref": "saxinou/toxiccomment-simple-regression-with-tf-idf", "kernel_id": "556471"}, {"ref": "saxinou/word2vec-and-glove", "kernel_id": "604721"}, {"ref": "shreemoyeesarkar/notebook1", "kernel_id": "584023"}, {"ref": "aialenti/simple-resnet-with-fasttext-embeddings", "kernel_id": "626419"}, {"ref": "chernyshov/logistic-regression-with-preprocessing", "kernel_id": "713883"}, {"ref": "ftkurt/lstm-w-byte-pair-encoding-lb-0-052", "kernel_id": "502824"}, {"ref": "mrugankakarte/getting-started-with-nlp", "kernel_id": "506657"}, {"ref": "mrugankakarte/xgboost", "kernel_id": "648894"}, {"ref": "ybonde/cleaning-word2vec-lstm-working", "kernel_id": "517460"}, {"ref": "ybonde/cleaning-dynamic-rnn-tensorflow-tutorial", "kernel_id": "525745"}, {"ref": "mattwills8/scikit-learn-nltk-no-bullsh-t", "kernel_id": "671597"}, {"ref": "mattwills8/beginner-tensorflow-cnn-example-runs-on-kaggle", "kernel_id": "720396"}, {"ref": "mattwills8/fit-transform-and-save-tfidfvectorizer", "kernel_id": "701422"}, {"ref": "mattwills8/no-bullsh-t-tfidf-sgd-no-blend-run-on-kaggle", "kernel_id": "689999"}, {"ref": "mattwills8/new-feature-exploration", "kernel_id": "687228"}, {"ref": "kashyap32/keras-cnn-gru", "kernel_id": "510036"}, {"ref": "mahmudulhasanshauqi/toxic-with-nltk-fasttext-and-gru", "kernel_id": "710423"}, {"ref": "l294265421/logistic-regression-with-words-and-char-n-grams", "kernel_id": "648203"}, {"ref": "idontknow/tensorflow-baseline-script", "kernel_id": "562260"}, {"ref": "joaomarcosgris/nb-svm-strong-linear-baseline-eda-0-052-lb", "kernel_id": "529869"}, {"ref": "nonserial/regex-text2vec-tfidf-lsa-lda-lightgbm", "kernel_id": "662558"}, {"ref": "jayavardhanr/lstm-with-glove-embedding-public-lb-score-0-049", "kernel_id": "503577"}, {"ref": "jayavardhanr/simple-data-exploration", "kernel_id": "503338"}, {"ref": "devisangeetha/classify-toxic-comments", "kernel_id": "681421"}, {"ref": "anirudhsekar96/correlation-analysis", "kernel_id": "596637"}, {"ref": "andrewrib/modeling-online-toxicity-with-lstms", "kernel_id": "716611"}, {"ref": "kumarajay/toxiccomment", "kernel_id": "588362"}, {"ref": "thec03u5/tfidf-and-lr", "kernel_id": "680354"}, {"ref": "thec03u5/avg-linear-lstm-and-max-linear-lstm", "kernel_id": "688126"}, {"ref": "thec03u5/ensamble-and-max-nbsvm-and-tfidflr", "kernel_id": "687794"}, {"ref": "thec03u5/nbsvm", "kernel_id": "687501"}, {"ref": "krosam/why-a-such-low-score-with-r-and-keras", "kernel_id": "703068"}, {"ref": "snlpnkj/bidirectional-lstm-keras", "kernel_id": "559083"}, {"ref": "fizzbuzz/fork-of-super-blend", "kernel_id": "749192"}, {"ref": "fizzbuzz/fork-of-wordbatch-fm-ftrl-on-preprocessed-data", "kernel_id": "749200"}, {"ref": "fizzbuzz/what-about-non-english-comments", "kernel_id": "749203"}, {"ref": "fizzbuzz/atrous-convolution-baseline", "kernel_id": "749926"}, {"ref": "fizzbuzz/lr-with-words-and-char-n-grams-preprocessed-data", "kernel_id": "726663"}, {"ref": "fizzbuzz/rank-averaging-on-preprocessed-data", "kernel_id": "726832"}, {"ref": "fizzbuzz/bilstm-on-preprocessed-data", "kernel_id": "726630"}, {"ref": "fizzbuzz/textcnn-2d-convolution-on-preprocessed-data", "kernel_id": "726700"}, {"ref": "fizzbuzz/pooled-gru-fasttext-on-preprocessed-data", "kernel_id": "726717"}, {"ref": "fizzbuzz/cnn-3-out-of-fold-4-epochs-preprocessed-data", "kernel_id": "726756"}, {"ref": "fizzbuzz/global-average-pool-on-preprocessed", "kernel_id": "727474"}, {"ref": "fizzbuzz/toxic-data-preprocessing", "kernel_id": "727492"}, {"ref": "fizzbuzz/lemmatization-pooled-gru-on-preprocessed-dataset", "kernel_id": "727660"}, {"ref": "fizzbuzz/super-blend", "kernel_id": "730174"}, {"ref": "fizzbuzz/wordbatch-fm-ftrl-on-preprocessed-data", "kernel_id": "728787"}, {"ref": "fizzbuzz/ridge-on-words-char-n-gram-preprocessed-data", "kernel_id": "729098"}, {"ref": "fizzbuzz/capsule-net-with-gru-on-preprocessed-data", "kernel_id": "737284"}, {"ref": "fizzbuzz/bi-lstm-conv-layer-lb-score-0-9840", "kernel_id": "732998"}, {"ref": "jyothish/ways-to-solve-a-multilabel-classification-problem", "kernel_id": "720805"}, {"ref": "aloisiodn/weighted-lstm-nb-svm-cnn-blend-lb-0-044", "kernel_id": "511624"}, {"ref": "aloisiodn/blend-minimal-lstm-nb-svm-baseline-rnn-cnn", "kernel_id": "513132"}, {"ref": "sonuchhabra/toxic-comment-classification-challenge-c", "kernel_id": "827973"}, {"ref": "paulorismmm/spacy-simple-example", "kernel_id": "950176"}, {"ref": "camnugent/sparse-matrix-creation-for-kernel-input", "kernel_id": "502553"}, {"ref": "gerryl/atrous-convolution-baseline-purecnn", "kernel_id": "746471"}, {"ref": "eashish/bidirectional-gru-with-convolution", "kernel_id": "705739"}, {"ref": "malapatiravi/practice", "kernel_id": "853181"}, {"ref": "taurothebull/keras-bidirectional-lstm-baseline-lb-0-051", "kernel_id": "531215"}, {"ref": "pranav84/training-weak-learner-with-pr-fane-dict-lookup", "kernel_id": "714375"}, {"ref": "shivampanchal/let-it-be-toxic", "kernel_id": "666320"}, {"ref": "shivampanchal/comments-were-toxic-lb-0-9837", "kernel_id": "666331"}, {"ref": "obiwang/toxic-comments-classification-version-6", "kernel_id": "529254"}, {"ref": "ranjanabhay/toxic-comment-classification-challenge", "kernel_id": "605470"}, {"ref": "dskswu/cnn-lstm-neural-network", "kernel_id": "502960"}, {"ref": "demesgal/lstm-with-bn-nb-svm-lr-on-conv-ai-lb-0-041", "kernel_id": "513960"}, {"ref": "demesgal/lstm-glove-lr-decrease-bn-cv-lb-0-047", "kernel_id": "512595"}, {"ref": "docktorrr/logistic-regression-tf-idf-n-grams-and-stemming", "kernel_id": "734700"}, {"ref": "nuhsikander/blend-of-blends-can-be-toxic-lb-0-9837", "kernel_id": "664217"}, {"ref": "otblearn/baseline-notebook", "kernel_id": "574536"}, {"ref": "caicell/nlp-code-reading-of-glove-kernel-by-howard", "kernel_id": "807515"}, {"ref": "sbongo/do-pretrained-embeddings-give-you-the-extra-edge", "kernel_id": "573904"}, {"ref": "sbongo/for-beginners-tackling-toxic-using-keras", "kernel_id": "561605"}, {"ref": "sbongo/tackling-toxic-problem-with-char-gram-cnn-lstm", "kernel_id": "677540"}, {"ref": "sbongo/for-beginners-go-even-deeper-with-char-gram-cnn", "kernel_id": "674523"}, {"ref": "kjeanclaude/capsulenet-gru-jc-earlystopping-lb0-9829", "kernel_id": "752125"}, {"ref": "divyakantyadav/notebookbf7cc7f5da", "kernel_id": "507775"}, {"ref": "jmoore1/starter-for-creating-your-own-word-vector-model", "kernel_id": "513957"}, {"ref": "kenwat/single-wordbatch-lightgbm-lb0-973", "kernel_id": "661838"}, {"ref": "therabiulawal/pooled-gru-glove-trainable-preprocessing", "kernel_id": "686314"}, {"ref": "matheusbaldi/toxic-comments-clasification", "kernel_id": "679647"}, {"ref": "defeater/generating-features-from-text", "kernel_id": "499637"}, {"ref": "fadhli/determine-toxic-comment-w-lr", "kernel_id": "511677"}, {"ref": "takuok/simple-5folds-logisticregression-lb-0-53", "kernel_id": "509868"}, {"ref": "takuok/bidirectional-lstm-and-attention-lb-0-043", "kernel_id": "516063"}, {"ref": "quoniammm/textcnn-baseline-glove-dropout", "kernel_id": "525463"}, {"ref": "quoniammm/simple-multi-channel-textcnn-baseline", "kernel_id": "541379"}, {"ref": "doha2012/toxic-comment-word-embeddings-and-cnn", "kernel_id": "753782"}, {"ref": "ritam3144/random-forest-with-count-vectorizer", "kernel_id": "597929"}, {"ref": "ritam3144/cnn-bidirectional-lstm-with-fasttext", "kernel_id": "698960"}, {"ref": "ritam3144/bi-gru-conv-with-feature-engineering", "kernel_id": "715215"}, {"ref": "nicapotato/tf-idf-xgboost", "kernel_id": "717920"}, {"ref": "nicapotato/feature-engineering-bad-words", "kernel_id": "676603"}, {"ref": "taran8727/beginners-one-vs-rest-classifier-logistic", "kernel_id": "500188"}, {"ref": "aravindh04/toxic-classification-by-aravindh", "kernel_id": "956035"}, {"ref": "maheshak04/basic-nlp-with-toxic-comm", "kernel_id": "726836"}, {"ref": "maheshak04/toxic-one-more", "kernel_id": "683129"}, {"ref": "prashant10/xgbwithsvd", "kernel_id": "513743"}, {"ref": "prashant10/onlylogisticregression", "kernel_id": "512946"}, {"ref": "sheriytm/the-ultimate-blender-just-add-submission-files", "kernel_id": "735141"}, {"ref": "jingqliu/conv2d-with-tensorflow-fasttext-2m", "kernel_id": "783259"}, {"ref": "anu0012/toxic-comments-classification-using-keras", "kernel_id": "657419"}, {"ref": "drfuzzy/logistic-regression-with-words-and-char-n-grams", "kernel_id": "657804"}, {"ref": "alexanderhades/toxic-classification-notebook", "kernel_id": "826475"}, {"ref": "ibrahimaptlo10/time-for-naive-bayes-classifier", "kernel_id": "708431"}, {"ref": "rajathmc/toxic-comment-classifier", "kernel_id": "716125"}, {"ref": "yashsharma8388/basicmodel", "kernel_id": "500448"}, {"ref": "nikhilpandey360/keras-bidirectional-lstm-baseline-lb-0-051", "kernel_id": "542774"}, {"ref": "yekenot/toxic-regression", "kernel_id": "499260"}, {"ref": "yekenot/pooled-gru-fasttext", "kernel_id": "672667"}, {"ref": "yekenot/xgboost-glmnet-with-oof-files", "kernel_id": "746685"}, {"ref": "yekenot/textcnn-2d-convolution", "kernel_id": "725476"}, {"ref": "amirkeren/lstm-with-dropout", "kernel_id": "690921"}, {"ref": "rohitanil/keras-cnn-lstm-lb-0-059", "kernel_id": "546927"}, {"ref": "rohitanil/lemmatization-and-pooled-gru", "kernel_id": "696487"}, {"ref": "sudhirnl7/logistic-regression-tfidf", "kernel_id": "519126"}, {"ref": "sudhirnl7/logistic-regression-with-hashing-vectorizer", "kernel_id": "683482"}, {"ref": "rossrco/quick-tfidf", "kernel_id": "500551"}, {"ref": "nikitabu/tfidf-logreg-pipeline-with-randomsearchcv", "kernel_id": "666650"}, {"ref": "nikitabu/tfidf-lightgbm-pipeline-with-randomsearchcv", "kernel_id": "666193"}, {"ref": "eikedehling/feature-engineering", "kernel_id": "544355"}, {"ref": "saurabh105/my-solution-to-toxic-comment-classification", "kernel_id": "971350"}, {"ref": "gyraywho/improved-lstm-baseline-glove-dropout", "kernel_id": "577147"}, {"ref": "srijataforever/ca684-machine-learning-assignment", "kernel_id": "821450"}, {"ref": "rohitag13/bidirectional-gru-cnn", "kernel_id": "553863"}, {"ref": "thousandvoices/logistic-regression-with-words-and-char-n-grams", "kernel_id": "517225"}, {"ref": "kraskab/toxic-comment-classification", "kernel_id": "576037"}, {"ref": "gaussmake1994/rnn-over-fasttext-embeddings-baseline-0-48-lb", "kernel_id": "505487"}, {"ref": "gaussmake1994/word-character-n-grams-tfidf-regressions-lb-051", "kernel_id": "499816"}, {"ref": "daniellz/kernel-extratrees", "kernel_id": "742858"}, {"ref": "daniellz/fork-of-fork-of-wordbatch-1-3-3-fm-ftrl-lb-0-9812", "kernel_id": "742867"}, {"ref": "jmbhat786/baselogistic", "kernel_id": "502345"}, {"ref": "chenyjade/different-stacker-for-different-label", "kernel_id": "737417"}, {"ref": "pkugoodspeed/rm-strange-symbols-and-use-fasttext-to-preprocess", "kernel_id": "553459"}, {"ref": "shashikant7/toxic-tf-idf-calculation-and-xgboost-using-r", "kernel_id": "710708"}, {"ref": "byrachonok/keras-gru-toxic-comments-classificator", "kernel_id": "734280"}, {"ref": "ra2041/toxic-comments-using-logreg", "kernel_id": "687544"}, {"ref": "heyt0ny/pytorch-testnet-wip", "kernel_id": "656768"}, {"ref": "matthewa313/naive-bayes-svm-on-vocabulary", "kernel_id": "752553"}, {"ref": "keshavbalivada/toxic-comment-classification", "kernel_id": "716740"}, {"ref": "yzzjjyy/nb-svm-strong-linear-baseline", "kernel_id": "597236"}, {"ref": "nikhilroxtomar/keras-sequential-model-lb-0-052", "kernel_id": "545168"}, {"ref": "adamschroeder/analyzing-visualizing-cleaning", "kernel_id": "576965"}, {"ref": "adamschroeder/countvectorizer-tfidfvectorizer-predict-comments", "kernel_id": "678883"}, {"ref": "zhbain/pooled-gru-fasttext-6c07c9", "kernel_id": "716178"}, {"ref": "thundo/toxic-comments-feature-engineering", "kernel_id": "627634"}, {"ref": "gakngm/data-analysis-toxic-comments", "kernel_id": "534324"}, {"ref": "gakngm/some-predictions-for-toxic-comments", "kernel_id": "538275"}, {"ref": "djcarlos/exploring-the-toxicity-of-wikipedia-comments", "kernel_id": "513212"}, {"ref": "emannueloc/using-word-embeddings-with-gensim", "kernel_id": "522303"}, {"ref": "eoveson/convai-datasets-baseline-models", "kernel_id": "514553"}, {"ref": "khinekhine/script-for-kk", "kernel_id": "515683"}, {"ref": "vbookshelf/word2vec-cnn-0-056-lb", "kernel_id": "532094"}, {"ref": "vbookshelf/keras-cnn-glove-early-stopping-0-048-lb", "kernel_id": "518985"}, {"ref": "mingjunbaa/xxxxxxxxxxxx", "kernel_id": "598460"}, {"ref": "qinhui1999/wordbatch-starterv1", "kernel_id": "536422"}, {"ref": "manuel82/hashing-trick-xgboost", "kernel_id": "671245"}, {"ref": "ckshitij/data-preprocessing", "kernel_id": "668126"}, {"ref": "konohayui/attempt-with-wordbatch", "kernel_id": "534831"}, {"ref": "konohayui/bi-gru-cnn-poolings", "kernel_id": "702691"}, {"ref": "markmaxf/notebook574b5a4eef", "kernel_id": "568587"}, {"ref": "oxanozaep/notebooke450d49fbd", "kernel_id": "501173"}, {"ref": "yaronv/data-exploration-using-word-clouds", "kernel_id": "658602"}, {"ref": "thirupathi/simplest-20-lines-of-code", "kernel_id": "561416"}, {"ref": "tsnarendran14/tidy-packages-to-classify-text", "kernel_id": "709158"}, {"ref": "mehtasaransh/cleaning-the-given-data", "kernel_id": "518302"}, {"ref": "tottenham/ridge-with-words-and-char-n-grams-lb-0-9809", "kernel_id": "715363"}, {"ref": "jaivarsan/toxic-comments", "kernel_id": "526505"}, {"ref": "iamprateek/can-i-classify-toxic-comments", "kernel_id": "500070"}, {"ref": "bodhi1994/let-s-train-seven-labels-instead-of-six-labels", "kernel_id": "716765"}, {"ref": "qfzgs1994/text-cnn", "kernel_id": "706901"}, {"ref": "qfzgs1994/bi-gru-cnn-poolings", "kernel_id": "703535"}, {"ref": "qfzgs1994/pooled-gru-glove", "kernel_id": "698440"}, {"ref": "jayeshrane2107/choose-your-words-carefully", "kernel_id": "743283"}, {"ref": "sjhalani/toxic-insight", "kernel_id": "500143"}, {"ref": "jetouxu/toxic-one-more-b8bce2", "kernel_id": "686862"}, {"ref": "rhodiumbeng/classifying-multi-label-comments-0-9741-lb", "kernel_id": "478135"}, {"ref": "octaviosantana/logisticregression-with-98-accuracy", "kernel_id": "515608"}, {"ref": "octaviosantana/most-frequent-words", "kernel_id": "519222"}, {"ref": "chongjiujjin/capsule-net-with-gru", "kernel_id": "714659"}, {"ref": "theblackcat/training-embedding-layer-using-gensim", "kernel_id": "507467"}, {"ref": "dromosys/lstm-glove-lr-decrease-bn-cv-lb-0-047", "kernel_id": "577043"}, {"ref": "reppic/efficient-spellchecking-including-results", "kernel_id": "727507"}, {"ref": "reppic/lazy-ensembling-algorithm", "kernel_id": "731211"}, {"ref": "dicksonchin93/train-ai-with-ai", "kernel_id": "640570"}, {"ref": "wolfgangb33r/toxic-wikipedia-comment-word2vec-mlpclassifier", "kernel_id": "509463"}, {"ref": "wolfgangb33r/toxic-comment-primary", "kernel_id": "503911"}, {"ref": "him4318/notebookddf054c884", "kernel_id": "519138"}, {"ref": "vlasoff/keras", "kernel_id": "592473"}, {"ref": "wenyangsama/kfold-cnn-maxpooling", "kernel_id": "705590"}, {"ref": "shelars1985/nlp-with-pipeline-capabilities", "kernel_id": "524724"}, {"ref": "san7911/pooled-gru-fasttext", "kernel_id": "837390"}, {"ref": "san7911/toxictest-lstm-using-keras", "kernel_id": "838509"}, {"ref": "bsivavenu/simple-eda-to-find-offensive-comment", "kernel_id": "688254"}, {"ref": "eswarbabu88/toxic-comment-glove-logistic-regression", "kernel_id": "696936"}, {"ref": "ramnemani/toxicity-test-with-randomforestclassifier", "kernel_id": "506646"}, {"ref": "kamote/exploring-toxic-comments-by-sentiment-analysis", "kernel_id": "586114"}, {"ref": "mknawara/simple-logistic-classifier", "kernel_id": "501094"}, {"ref": "prashantkikani/pooled-gru-glove-with-preprocessing", "kernel_id": "682653"}, {"ref": "prashantkikani/toxic-one-more-blend", "kernel_id": "680820"}, {"ref": "prashantkikani/pooled-gru-with-preprocessing", "kernel_id": "675533"}, {"ref": "prashantkikani/hight-of-blend-v2", "kernel_id": "702090"}, {"ref": "prashantkikani/hight-of-preprocessing-with-emoji", "kernel_id": "702161"}, {"ref": "prashantkikani/toxic-logistic-preprocessing", "kernel_id": "666691"}, {"ref": "prashantkikani/toxic-simple-blending", "kernel_id": "577072"}, {"ref": "prashantkikani/toxic-hight-of-blending", "kernel_id": "638909"}, {"ref": "jp30101995/cmtanalysis", "kernel_id": "604985"}, {"ref": "rajjeet/threat-roc-curve-0-75-with-4-folds-cv", "kernel_id": "548333"}, {"ref": "emotionevil/general-oof-class-for-stacking", "kernel_id": "708656"}, {"ref": "anishjosh/quick-tfidf", "kernel_id": "504256"}, {"ref": "tonydothk/toxic-comments-single-lstm-model-1-complete", "kernel_id": "815037"}, {"ref": "rajat12345/bi-lstm-conv-layer-lb-score-0-9840", "kernel_id": "999254"}, {"ref": "ipg2014xxx/simple-toxic-comment-classifier", "kernel_id": "510822"}, {"ref": "docxian/toxic-exploration", "kernel_id": "516237"}, {"ref": "twistedtensor/basic-word2vec-using-gensim", "kernel_id": "519002"}, {"ref": "twistedtensor/fork-of-basic-word2vec-using-gensim", "kernel_id": "547643"}, {"ref": "xbf6xbf/processing-helps-boosting-about-0-0005-on-lb", "kernel_id": "755749"}, {"ref": "isahibzada/toxic-comment-classification-logistic-regression", "kernel_id": "658230"}, {"ref": "manfredipivetta/starting-out", "kernel_id": "503994"}, {"ref": "zaochenye/tips-for-stacking-and-blending", "kernel_id": "708183"}, {"ref": "harshaneigapula/cnn-lstm", "kernel_id": "733917"}, {"ref": "janhavip/destroyers-of-the-toxic", "kernel_id": "743184"}, {"ref": "submarineering/submarineering-blending-clipping", "kernel_id": "662538"}, {"ref": "submarineering/submarineering-blend-it-all", "kernel_id": "726071"}, {"ref": "submarineering/submarineering-climbing-without-rope", "kernel_id": "692344"}, {"ref": "submarineering/submarineering-ensembling", "kernel_id": "502665"}, {"ref": "submarineering/submarineering-blending", "kernel_id": "592131"}, {"ref": "kumarabhishekone/txtsvm", "kernel_id": "899489"}, {"ref": "aadesh2242/new-fasttext", "kernel_id": "827447"}, {"ref": "piumallick/toxic-comments-sentiment-analysis", "kernel_id": "605036"}, {"ref": "sourabhraghav2/initial-steps-to-build-a-toxic-comment-identifier", "kernel_id": "516076"}, {"ref": "christofhenkel/densecapsules", "kernel_id": "739318"}, {"ref": "christofhenkel/tensorflow-vgg-like-charcnn", "kernel_id": "581311"}, {"ref": "onemoresunday/toxic-comments-nb-svm-strong-linear-baseline", "kernel_id": "597830"}, {"ref": "grandmoon/random-forest-classification", "kernel_id": "750089"}, {"ref": "bharaniabhishek123/predicting-probabilities-using-deep-learning", "kernel_id": "506755"}, {"ref": "shihabshahriar/regressionv1", "kernel_id": "729600"}, {"ref": "shihabshahriar/pooledgru", "kernel_id": "726596"}, {"ref": "mitchbuchanon/simple-logistic-regression", "kernel_id": "500781"}, {"ref": "rprimi/simple-nn-using-keras-for-r", "kernel_id": "524816"}, {"ref": "kuntalcse006/sentimentanalysis2", "kernel_id": "603536"}, {"ref": "guocan/logistic-regression-with-words-and-char-n-g-13417e", "kernel_id": "657867"}, {"ref": "summerhch/kerneld920161529", "kernel_id": "721596"}, {"ref": "rednivrug/blend-it-all", "kernel_id": "713373"}, {"ref": "rednivrug/5-fold-ridge-oof", "kernel_id": "691779"}, {"ref": "xiaochai/hierarchical-attention-network", "kernel_id": "883515"}, {"ref": "sarvajna/keras-sequential-model-lb-0-052", "kernel_id": "541402"}, {"ref": "shanth84/tc-ensemble-3-models", "kernel_id": "737448"}, {"ref": "ranrancao/stop-the-s-toxic-comments-eda", "kernel_id": "555292"}, {"ref": "muthoka/toxic-comment-classification-by-terry-kisomo", "kernel_id": "705116"}, {"ref": "muthoka/toxic-ensemble", "kernel_id": "708557"}, {"ref": "saurabhg476/finding-toxic-comments", "kernel_id": "627745"}, {"ref": "dhznsdl/comparison-old-new-dataset", "kernel_id": "552242"}, {"ref": "kevinjordan/analysis-using-tfidfvectorizer", "kernel_id": "625382"}, {"ref": "mschoi2877/notebook8eb3e4c1d6", "kernel_id": "554871"}, {"ref": "the7oceans/toxic-comment-code", "kernel_id": "920441"}, {"ref": "bkarabay/simple-text-classification-with-apache-spark", "kernel_id": "965190"}, {"ref": "yehorsomov/notebook008c7f8fa3", "kernel_id": "551084"}, {"ref": "lieutenant1996/simple-lgb-and-xgb-model", "kernel_id": "751448"}, {"ref": "vilata/kope-toxic-cleanup", "kernel_id": "553148"}, {"ref": "crischir/word2vec-hashing-and-some-xgboost-models", "kernel_id": "686154"}, {"ref": "crischir/jaccard-and-cosine-similarity-text2vec", "kernel_id": "702652"}, {"ref": "danbenn/modified-nb-svm-strong-linear-baseline", "kernel_id": "533732"}, {"ref": "mmpossi/logitcomment-preprocessing", "kernel_id": "676146"}, {"ref": "mlneo07/text-analysis-using-k-means", "kernel_id": "685128"}, {"ref": "mutterberg/for-beginners-tackling-toxic-using-keras", "kernel_id": "728705"}, {"ref": "laurenz900/toxic-comment-classification", "kernel_id": "625378"}, {"ref": "mhviraf/taking-into-account-emojis-on-preprocessing-part", "kernel_id": "697761"}, {"ref": "talktocharles/submission-comparison-notebook", "kernel_id": "701593"}, {"ref": "jiachen1018/decision-tree", "kernel_id": "973390"}, {"ref": "antmarakis/another-blend-tinkered-by-correlation", "kernel_id": "707238"}, {"ref": "antmarakis/bi-lstm-conv-layer", "kernel_id": "730120"}, {"ref": "antmarakis/another-cleaned-data-blend-with-low-correlation", "kernel_id": "738468"}, {"ref": "evanruyven/group-10-week-4-v-2", "kernel_id": "704971"}, {"ref": "arnabchakrabortyds/toxic-challenge-with-stemmer-and-logistic", "kernel_id": "670361"}, {"ref": "deepakn1717/nlp-naive-bayes-classifier", "kernel_id": "829087"}, {"ref": "ridhimagarg/toxic-comment-classifying-using-word-vectorizer", "kernel_id": "677572"}, {"ref": "jusjosef13/blend-of-blends-can-be-toxic-lb-0-9837", "kernel_id": "678556"}, {"ref": "abefetterman/pytorch-gru-pooling-with-torchtext", "kernel_id": "714295"}, {"ref": "ybaojia/simple-keywords-to-predict-toxic", "kernel_id": "682866"}, {"ref": "mnagy112/oznal", "kernel_id": "904296"}, {"ref": "saeedheydari/for-beginners-tackling-toxic-using-keras", "kernel_id": "709806"}, {"ref": "circle811/tf-idf-logistic-regression", "kernel_id": "708646"}, {"ref": "lichengcai/logistic-regression-with-text-clean-and-n-grams", "kernel_id": "726508"}, {"ref": "akshayrc95/toxic-classification-using-multinomialnb", "kernel_id": "746149"}, {"ref": "venunimmala/logistic-regression-with-words-and-char-n-grams", "kernel_id": "754912"}, {"ref": "naina04/eda-toxic-comment-classification-challenge", "kernel_id": "864188"}, {"ref": "matthiasbachfischer/nb-svm-strong-linear-baseline", "kernel_id": "892020"}, {"ref": "omkarsabnis/toxic-comment-classification", "kernel_id": "955717"}, {"ref": "areeves87/wordbatch-fm-ftrl-using-mse-auc-820", "kernel_id": "1973284"}, {"ref": "areeves87/lightgbm-with-select-k-best-on-tfidf-auc-0-804", "kernel_id": "1974967"}, {"ref": "areeves87/lstm-baseline-glove-dropout-auc-807", "kernel_id": "1969517"}, {"ref": "areeves87/nb-svm-strong-linear-baseline-auc-0-814", "kernel_id": "1967260"}, {"ref": "areeves87/logistic-reg-with-words-and-char-n-grams-0-8157", "kernel_id": "1967945"}, {"ref": "areeves87/tackling-toxic-using-keras-auc-797", "kernel_id": "1968132"}, {"ref": "areeves87/pooled-gru-fasttext-auc-0-817", "kernel_id": "1969058"}, {"ref": "areeves87/two-rnn-cnn-columns-network-with-keras", "kernel_id": "1851108"}, {"ref": "kmader/medium-article-clap-predictor", "kernel_id": "1169118"}, {"ref": "kmader/text-classification-with-qrnn", "kernel_id": "1284341"}, {"ref": "kmader/from-hate-speech-to-russian-bot-tweets", "kernel_id": "1380335"}, {"ref": "kalaigrad/toxic-comments", "kernel_id": "1564527"}, {"ref": "danofer/sklearn-pipelines-tutorial-nlp-toxic", "kernel_id": "1195697"}, {"ref": "oo7feynman/toxic-comment-benchmarking-models", "kernel_id": "1091437"}, {"ref": "tunguz/fork-of-words-and-char-n-grams-processed-test", "kernel_id": "1176412"}, {"ref": "tunguz/tfidf-processed-files", "kernel_id": "1176216"}, {"ref": "tunguz/superblend", "kernel_id": "1079618"}, {"ref": "tunguz/bi-gru-lstm-cnn-poolings-fasttext", "kernel_id": "1053700"}, {"ref": "tunguz/glove-and-fasttext-blender", "kernel_id": "1054412"}, {"ref": "joydeep29/embedding-lstm-cnn-with-rmsprop-loss-0-07", "kernel_id": "1084489"}, {"ref": "gavarnamarn/toxicity-using-doc2vec", "kernel_id": "1022878"}, {"ref": "deniskovalenko/logistic-regression-with-words-and-char-n-grams", "kernel_id": "1091543"}, {"ref": "andrewrib/dai-june-2018-workshop-notebook-5", "kernel_id": "1110811"}, {"ref": "samriddhac/toxic-message-classification", "kernel_id": "1038137"}, {"ref": "therabiulawal/2-channel-bi-gru-cnn-poolings", "kernel_id": "1018355"}, {"ref": "ashishpatel26/practice-tutorial-for-toxic-classification", "kernel_id": "1611084"}, {"ref": "badalgupta/sentiment-bi-lstm", "kernel_id": "1290633"}, {"ref": "jayspeidell/exploring-toxic-comment-data", "kernel_id": "1218634"}, {"ref": "dhruvt93/going-beyond-jeremy-s-lstm-baseline", "kernel_id": "1900004"}, {"ref": "prabhatkumarsahu/toxic-comment-classification-thecaffeinedev", "kernel_id": "1750805"}, {"ref": "abhisheksinha28/bidirectional-lstm", "kernel_id": "1815147"}, {"ref": "abhisheksinha28/logistic-regression-with-n-grams", "kernel_id": "1813193"}, {"ref": "abhisheksinha28/eda-and-baseline", "kernel_id": "1803570"}, {"ref": "dhainjeamita/toxiccommentclassification", "kernel_id": "1203416"}, {"ref": "san7911/for-beginners-tackling-toxic-using-keras", "kernel_id": "1122504"}, {"ref": "san7911/logistic-regression-with-words-and-char-n-grams", "kernel_id": "1112021"}, {"ref": "rajat12345/lstm-embeddedmatrix", "kernel_id": "1030686"}, {"ref": "itamarmushkin/basic-nlp-attempt-thanks-to-pydata-tlv", "kernel_id": "1398399"}, {"ref": "mrmetakinon/kernel", "kernel_id": "1731201"}, {"ref": "omarayman/the-home-for-nlp-future-experts", "kernel_id": "1631142"}, {"ref": "limitpointinf0/eda-and-naive-bayes", "kernel_id": "1197620"}, {"ref": "rjurczak/toxic-comments-course-project", "kernel_id": "1065799"}, {"ref": "zgalvin111/zach-and-matt", "kernel_id": "1049698"}, {"ref": "shilpil/toxic-comments-using-tenorflow", "kernel_id": "1166833"}, {"ref": "chenbuntu/lstm-with-keras-and-tensorflow", "kernel_id": "1769605"}, {"ref": "joanfo/word2vec-cnn-extra-features-0-9757", "kernel_id": "1335664"}, {"ref": "xinruchen/my-nlp-exercises", "kernel_id": "1940533"}, {"ref": "suyashpasari/nb-svm-strong-linear-baseline-for-toxic-comments", "kernel_id": "1656495"}, {"ref": "liucl16002339g/hkpolyu-comp5434-gp08-anp", "kernel_id": "1259595"}, {"ref": "louis030195/toxic-comment", "kernel_id": "1506687"}, {"ref": "zhangyang/explain-l1-norm-nb-svm-strong-linear-baseline", "kernel_id": "2063402"}, {"ref": "mlwhiz/adversarial-validation-and-lb-shakeup", "kernel_id": "2515959"}, {"ref": "tunguz/toxic-comments-with-tf-embeddings-and-h2o-automl", "kernel_id": "2407168"}, {"ref": "tunguz/toxic-with-h2o-automl", "kernel_id": "2304114"}, {"ref": "tunguz/severe-toxic-with-h2o-automl", "kernel_id": "2304933"}, {"ref": "tunguz/obscene-with-h2o-automl", "kernel_id": "2304938"}, {"ref": "tunguz/threat-with-h2o-automl", "kernel_id": "2304947"}, {"ref": "tunguz/insult-with-h2o-automl", "kernel_id": "2305118"}, {"ref": "tunguz/identity-hate-with-h2o-automl", "kernel_id": "2305121"}, {"ref": "tunguz/word-and-char-n-gram-feature-extractor", "kernel_id": "2340554"}, {"ref": "tunguz/logistic-regression-with-tf-embeddings", "kernel_id": "2016588"}, {"ref": "tunguz/tf-embeddings-processed-train-files-first-half", "kernel_id": "2010334"}, {"ref": "tunguz/tf-embeddings-processed-train-files-second-half", "kernel_id": "2010346"}, {"ref": "tunguz/tf-embeddings-processed-test-files-first-half", "kernel_id": "2010560"}, {"ref": "tunguz/tf-embeddings-processed-test-files-second-half", "kernel_id": "2010576"}, {"ref": "tunguz/tf-embedding-files-joiner", "kernel_id": "2012321"}, {"ref": "tunguz/fork-of-bi-gru-lstm-cnn-poolings-glove", "kernel_id": "2054442"}, {"ref": "mattkierans/simply-deep-toxic-comments", "kernel_id": "2576970"}, {"ref": "zake7749/toxic-comments-classification-tutorial", "kernel_id": "2333984"}, {"ref": "komalkal/do-pretrained-embeddings-give-you-the-extra-edge", "kernel_id": "2421940"}, {"ref": "abhinav2308/pytorch-toxic-comment-solution", "kernel_id": "2908401"}, {"ref": "classtag/toxic-2-position-embedding-and-attention", "kernel_id": "2338128"}, {"ref": "classtag/toxic-3-pooled-gru-and-fasttext", "kernel_id": "2338723"}, {"ref": "utsav15/improved-lstm-baseline-glove-dropout", "kernel_id": "2846366"}, {"ref": "thepandas/baseline-lstm-dataaugmentation", "kernel_id": "2257200"}, {"ref": "sabasiddiqi/workbook-2-text-preprocessing-feature-extraction", "kernel_id": "2103907"}, {"ref": "sabasiddiqi/workbook-1-text-pre-processing-for-beginners", "kernel_id": "2102206"}, {"ref": "anandvidvat/lstm-gpu", "kernel_id": "2359397"}, {"ref": "shaojiewei/lazy-ensembling-algorithm-da4a71", "kernel_id": "2458396"}, {"ref": "shaojiewei/fork-of-nb-svm-strong-linear-baseline-668a5e", "kernel_id": "2391012"}, {"ref": "abhibisht89/improved-lstm-baseline-glove-dropout", "kernel_id": "2074739"}, {"ref": "dromosys/fast-ai-toxic-comment", "kernel_id": "2796536"}, {"ref": "hespozel/toxic-on-kaggle", "kernel_id": "2048297"}, {"ref": "rohandx1996/cnn-lstm-vs-lstm-vs-n-gram-cnn-vs-n-gram-lstm-cnn", "kernel_id": "2164615"}, {"ref": "zz2k17/simple-cnn-gru-baseline-classifier", "kernel_id": "2152958"}, {"ref": "econdata/text-analytics1", "kernel_id": "2719114"}, {"ref": "walidmourou/best-classifier-for-toxic-comment", "kernel_id": "2643500"}, {"ref": "ibtesama/unboxing-the-black-box", "kernel_id": "2709066"}, {"ref": "akshatgupta001/toxic-comments-classification-using-keras-f9dda6", "kernel_id": "2221617"}, {"ref": "umeshm/toxic-comment-classifier-using-keras", "kernel_id": "2424766"}, {"ref": "yshubham/bi-gru-and-attention-fork", "kernel_id": "2593497"}, {"ref": "macespinoza/clasificador-simple-lightgbm-espa-ol", "kernel_id": "2603515"}, {"ref": "lpdataninja/data-science-glossary-9-svm", "kernel_id": "2542997"}, {"ref": "nrr1509/improved-lstm-baseline-glove-dropout", "kernel_id": "2800931"}, {"ref": "sid321axn/power-lstm-glove", "kernel_id": "2857640"}, {"ref": "jatinmittal0001/toxic-comment-classification", "kernel_id": "2982588"}, {"ref": "kakiac/deep-learning-4-text-classification-cnn-bi-lstm", "kernel_id": "2122674"}, {"ref": "kakiac/deep-learning-of-manifestos-text-classification", "kernel_id": "2152743"}, {"ref": "tejask98/teamdarkknights", "kernel_id": "2250316"}, {"ref": "tejask98/kernel5d2a646d78", "kernel_id": "2250378"}, {"ref": "chinki86/kernel05fec8c8d2", "kernel_id": "2834857"}, {"ref": "chuahanen/toxic-eda-meta-features-sentiments-tf-idf", "kernel_id": "2210124"}, {"ref": "ramyapriyadarshini98/keras-toxic-comments", "kernel_id": "2787590"}, {"ref": "tanmaih/improved-lstm-baseline-glove-dropout-03e1f9", "kernel_id": "2799799"}, {"ref": "luthfanahmad/find-toxic-comments-using-eda", "kernel_id": "2022900"}, {"ref": "harshul23/toxic-comment", "kernel_id": "2542434"}, {"ref": "formulaone9275/bilstm-py", "kernel_id": "2208017"}, {"ref": "bcs013/simple-stepwise-solution", "kernel_id": "2539599"}, {"ref": "sameerdev7/toxic-sentence-classification-using-cnn-lstm", "kernel_id": "2954009"}, {"ref": "saharsh1708/improved-lstm-baseline-glove-dropout-59e14e", "kernel_id": "2800337"}, {"ref": "saharsh1708/kernel93ea384062", "kernel_id": "2798769"}, {"ref": "saharsh1708/improved-lstm-baseline-glove-dropout-73e892", "kernel_id": "2803969"}, {"ref": "saharsh1708/improved-lstm-baseline-glove-dropout-14b231", "kernel_id": "2801132"}, {"ref": "pallavikhedekar/comment-classification", "kernel_id": "3422975"}, {"ref": "tunguz/bi-lstm-gru-dual-embedding-new-test", "kernel_id": "3837912"}, {"ref": "tunguz/bi-lstm-dual-embedding-new-test-2", "kernel_id": "3857099"}, {"ref": "tunguz/bi-gru-dual-embedding-new-test-3", "kernel_id": "3857121"}, {"ref": "tunguz/bi-lstm-gru-dual-embedding-new-test-4", "kernel_id": "3857127"}, {"ref": "tunguz/fork-of-bi-gru-lstm-dual-embedding-new-test-5", "kernel_id": "3857137"}, {"ref": "tunguz/bi-lstm-gru-dual-embedding-new-test-clean-2", "kernel_id": "3871646"}, {"ref": "tunguz/bi-lstm-dual-embedding-new-test-cleaned-3", "kernel_id": "3871657"}, {"ref": "tunguz/bi-lstm-gru-dual-embedding-new-test-cleaned-4", "kernel_id": "3871666"}, {"ref": "tunguz/bi-gru-lstm-dual-embedding-new-test-cleaned-5", "kernel_id": "3871679"}, {"ref": "tunguz/bi-lstm-gru-dual-embedding-new-test-cleaned-1", "kernel_id": "3868152"}, {"ref": "alber8295/nb-svm-linear-baseline", "kernel_id": "3465673"}, {"ref": "keitakurita/bert-with-fastai-example", "kernel_id": "3877361"}, {"ref": "simr01/toxic-comments-nlp-lstm", "kernel_id": "3959434"}, {"ref": "sabasiddiqi/dc-text-pre-processing-for-begin", "kernel_id": "3845583"}, {"ref": "jason0713/model-cnn-rcnn", "kernel_id": "3443608"}, {"ref": "nichaoku/mege-train-and-test-data-with-labels", "kernel_id": "3741839"}, {"ref": "bharatsingh213/tips-for-stacking-and-blending", "kernel_id": "3399684"}, {"ref": "hamishdickson/previous-competition-data-match", "kernel_id": "3518652"}, {"ref": "sergeykalutsky/augmenting-and-parsing-more-data", "kernel_id": "3507278"}, {"ref": "lkalderon/comment-autoencoders", "kernel_id": "3972451"}, {"ref": "lkalderon/rnn-models", "kernel_id": "3954302"}, {"ref": "lkalderon/capsule-net-with-gru", "kernel_id": "3954582"}, {"ref": "ajitesh0202/toxic-comment-classification", "kernel_id": "3272240"}, {"ref": "fillingspaces/keras-cnn-with-fasttext-embeddings-5be9df", "kernel_id": "3748096"}, {"ref": "fillingspaces/attention-with-fasttext-embeddings-f77075", "kernel_id": "3022286"}, {"ref": "javaidnabi/toxic-comment-classification-using-bert", "kernel_id": "3585853"}, {"ref": "fnugget/eda-comment-lengths-and-punctuation-emoji-use", "kernel_id": "3642534"}, {"ref": "utvova/kernel", "kernel_id": "3398586"}, {"ref": "harshel7/toxic-comment-classification-with-keras", "kernel_id": "3065933"}, {"ref": "harshel7/bilstm-s-for-toxic-comments", "kernel_id": "3080014"}, {"ref": "owen1226/toxic-comment-classification-challenge", "kernel_id": "3991583"}, {"ref": "ad6398/toxic-comment-classification", "kernel_id": "3378492"}, {"ref": "flywithcode/logistic-regression-tfidf", "kernel_id": "3907124"}, {"ref": "vietdzung/ridge-lasso-logistic-regression-with-tf-idf", "kernel_id": "3722574"}, {"ref": "vietdzung/ridge-lasso-logistic-xgboost-tf-idf", "kernel_id": "3782167"}, {"ref": "vietdzung/detoxify-with-xgboost-and-text2vec", "kernel_id": "3773495"}, {"ref": "vietdzung/naive-bayes-toxic-comment-classification", "kernel_id": "3490746"}, {"ref": "anil777/keras-bidirectional-lstm-baseline-lb-0-069", "kernel_id": "3583223"}, {"ref": "anil777/improved-lstm-baseline-glove-dropout", "kernel_id": "3583251"}, {"ref": "anil777/pooled-gru-fasttext", "kernel_id": "3583317"}, {"ref": "anil777/capsule-net-with-gru", "kernel_id": "3583367"}, {"ref": "anil777/toxic-comments-logistic-regression-practice", "kernel_id": "3522579"}, {"ref": "nholloway/insights-from-jigsaw-publications", "kernel_id": "3630041"}, {"ref": "ashiquemahmood/train", "kernel_id": "3745489"}, {"ref": "lsjsj92/toxic-nlp-with-keras-lstm", "kernel_id": "3237297"}, {"ref": "samarthsarin/lstm-and-convolution1d-ensemble-with-glove", "kernel_id": "3669865"}, {"ref": "tiara687/toxiccommentclassification", "kernel_id": "3538471"}, {"ref": "hrush777/glove-cudnngru", "kernel_id": "3516258"}, {"ref": "polgrauj/nb-svm-strong-linear-baseline-af786d", "kernel_id": "3952741"}, {"ref": "anthonydel/cnn-lstm-fasttext-dropout", "kernel_id": "3895918"}, {"ref": "sankalp139/for-beginners-tackling-toxic-using-keras", "kernel_id": "3576625"}, {"ref": "abhikjha/jigsaw-toxicity-bert-with-fastai-and-fastai", "kernel_id": "4800828"}, {"ref": "ajithvajrala/word-embeddings-with-tfidf-ensemble", "kernel_id": "4761635"}, {"ref": "ajithvajrala/dissertation-word-embeding", "kernel_id": "4735574"}, {"ref": "decoflight/toxicbertclassifier", "kernel_id": "4716117"}, {"ref": "decoflight/toxiccommentclassificationreader", "kernel_id": "4716051"}, {"ref": "decoflight/toxicbaseclassifier", "kernel_id": "4716075"}, {"ref": "decoflight/allennlp-example", "kernel_id": "4716251"}, {"ref": "decoflight/swemencoder", "kernel_id": "4716397"}, {"ref": "decoflight/toxiccommentpredictor", "kernel_id": "4716563"}, {"ref": "jganzabal/toxic-comments-lstm", "kernel_id": "4646701"}, {"ref": "jganzabal/itba-toxic-comments", "kernel_id": "4075516"}, {"ref": "sparshdutta/keras-cnn-with-fasttext-embeddings", "kernel_id": "4610833"}, {"ref": "iashreya/toxiccommentclassification", "kernel_id": "4328568"}, {"ref": "rodrigov/toxic-comment-classification-challenge-final", "kernel_id": "4015964"}, {"ref": "lxyuan0420/logistic-regression-with-tf-idf-ngram", "kernel_id": "4068705"}, {"ref": "barelydedicated/gru-sentiment-analysis", "kernel_id": "4532139"}, {"ref": "lkalderon/char-rnn-cnn", "kernel_id": "4569345"}, {"ref": "lkalderon/rnn-cnn-ontop", "kernel_id": "4569472"}, {"ref": "lkalderon/cnn-models", "kernel_id": "4566034"}, {"ref": "amanbhalla/toxic-comment-challenge-cnn-text", "kernel_id": "4916268"}, {"ref": "mamtadhaker/toxic-comment-classification-with-logistic-regr", "kernel_id": "4412288"}, {"ref": "ajita15/lstm-cnn-based-classifier2", "kernel_id": "4220769"}, {"ref": "statastrologer/detoxify-comments", "kernel_id": "4946438"}, {"ref": "adhamsuliman1993/aml-w-yuri-cnn", "kernel_id": "4972702"}, {"ref": "zabir17/bilstm-tf-idf", "kernel_id": "4900265"}, {"ref": "pritamcodeai/comment-multi-classification-by-bert-tensorflow", "kernel_id": "4652164"}, {"ref": "kunalchamoli/toxic-try", "kernel_id": "4859921"}, {"ref": "nikkisharma536/fastai-toxic", "kernel_id": "4794041"}, {"ref": "kyakovlev/internal-eda-public", "kernel_id": "4546850"}, {"ref": "sherinclaudia/toxicity-of-comments", "kernel_id": "4632321"}, {"ref": "shahkan/toxic-comment-classification-logistic-regression", "kernel_id": "4327068"}, {"ref": "rahulrachakonda/toxic-comments-classification-with-cnn", "kernel_id": "4958942"}, {"ref": "rahulrachakonda/toxic-comments-classification", "kernel_id": "4771767"}, {"ref": "carlosher/final-cnn-model-for-slpdl", "kernel_id": "4212492"}, {"ref": "iniketan/naive-bayers-bow-kernel", "kernel_id": "4081598"}, {"ref": "induszing/toxic-comment-classification-using-bert", "kernel_id": "5417050"}, {"ref": "ajithvajrala/dissertation-final", "kernel_id": "5475912"}, {"ref": "behrangj/improved-lstm-baseline-glove-dropout", "kernel_id": "5410409"}, {"ref": "jeethathi/toxic-text-classification", "kernel_id": "5872321"}, {"ref": "asrsaiteja/toxic-comments-preprocessing-baselines", "kernel_id": "5616711"}, {"ref": "asrsaiteja/toxic-comments-eda-baselines", "kernel_id": "5551298"}, {"ref": "ashfoo/magic-of-tensorflow-acc-99", "kernel_id": "5765113"}, {"ref": "hocop1/text-prepprocessing-and-clustering", "kernel_id": "5126168"}, {"ref": "ankita5t/for-beginners-tackling-toxic-using-keras", "kernel_id": "5559206"}, {"ref": "qinxinxu/annotated-bi-gru-conv-classification", "kernel_id": "5424223"}, {"ref": "sidjain1611/toxic-comments", "kernel_id": "5263251"}, {"ref": "rahulrachakonda/toxic-comments-new", "kernel_id": "5198864"}, {"ref": "nkaps98/toxic-comment-classification-analysis-prediction", "kernel_id": "5209642"}, {"ref": "hyeminoh/nb-svm-strong-linear-baseline-korean-ver", "kernel_id": "5450801"}, {"ref": "amir78pgd/improved-lstm-baseline-bi-gru-dual-embedding", "kernel_id": "5792040"}, {"ref": "amir78pgd/nb-svm-strong-linear-baseline", "kernel_id": "5740062"}, {"ref": "amir78pgd/minimal-lstm-nb-svm-baseline-ensemble", "kernel_id": "5741081"}, {"ref": "subhasom/pyspark", "kernel_id": "5863373"}, {"ref": "starngu1/toxic-comment-classification", "kernel_id": "5749063"}, {"ref": "austvan/data-exploration", "kernel_id": "5785598"}, {"ref": "savvisingh/for-beginners-tackling-toxic-using-keras", "kernel_id": "5998259"}, {"ref": "hungngph/bi-lstm-conv-layer-lb-score-0-9840", "kernel_id": "5997063"}, {"ref": "satadru5/logistic-regression-with-words-and-char-n-grams", "kernel_id": "6211723"}, {"ref": "tunguz/bi-gru-lstm-dual-embedding-with-mish", "kernel_id": "6234780"}, {"ref": "samson22/bidirectional-lstm-with-convolution", "kernel_id": "6522471"}, {"ref": "samson22/distilbert-in-pytorch", "kernel_id": "6024151"}, {"ref": "jagannathrk/bidirectional-lstm-with-convolution", "kernel_id": "6838907"}, {"ref": "hawkeoni/pytorch-simple-bert", "kernel_id": "6430584"}, {"ref": "ahayek84/toxic-comment-bert-tf1-proof-of-concept", "kernel_id": "6214607"}, {"ref": "ahayek84/toxic-comment-visualization", "kernel_id": "6235479"}, {"ref": "ahayek84/toxic-comment-gru-glove", "kernel_id": "6234512"}, {"ref": "ahayek84/toxic-comment-classification-challenge", "kernel_id": "6082968"}, {"ref": "ahayek84/fork-of-toxic-comment-classification-gru", "kernel_id": "6126810"}, {"ref": "ahayek84/toxic-comment-lstm-glove", "kernel_id": "6350075"}, {"ref": "hummer12007/bert-with-fastai-tutorial", "kernel_id": "6747292"}, {"ref": "logan1997/multi-label-classification", "kernel_id": "6206311"}, {"ref": "lymenlee/toxic-comments-classification-fast-ai", "kernel_id": "6047504"}, {"ref": "kpacocha/text-mining-cookbook-toxic-comments-analysis", "kernel_id": "6228818"}, {"ref": "patricia92fa/jigsaw-competition-part-i-exploratory-analysis", "kernel_id": "6926943"}, {"ref": "reneang/convolutional", "kernel_id": "6380199"}, {"ref": "magic929/kernel7c1c3ec772", "kernel_id": "6481379"}, {"ref": "saeedtqp/nbsvm-toxic-cm", "kernel_id": "6811080"}, {"ref": "k4puneet/countvectorizer-tfidf-tutorial", "kernel_id": "6232714"}, {"ref": "shankarnara/lstm-implementation-1", "kernel_id": "6942732"}, {"ref": "amir78pgd/fork-of-ensemble-3-blend", "kernel_id": "6610266"}, {"ref": "amir78pgd/fork-of-nb-svm-strong-linear-baseline", "kernel_id": "6569716"}, {"ref": "amir78pgd/fork-of-improved-lstm-baseline-fasttext-dropout", "kernel_id": "6570062"}, {"ref": "amir78pgd/improved-lstm-baseline-fasttext-dropout", "kernel_id": "6131410"}, {"ref": "amir78pgd/minimal-lstm-g-f-nb-svm-baseline-ensemble", "kernel_id": "6133765"}, {"ref": "amir78pgd/improved-lstm-baseline-bi-lstm-dual-embed-dehyp", "kernel_id": "6123924"}, {"ref": "amir78pgd/improved-lstm-baseline-glove-dropout", "kernel_id": "6134373"}, {"ref": "amir78pgd/improved-lstm-baseline-bi-lstm-dual-embed-pl", "kernel_id": "6229818"}, {"ref": "amir78pgd/improved-lstm-baseline-fasttext-dropout-pl", "kernel_id": "6224371"}, {"ref": "amir78pgd/improved-lstm-baseline-glove-dropout-pl", "kernel_id": "6221751"}, {"ref": "amir78pgd/fork-of-minimal-lstm-g-f-nbsvm-baseline-ensem3", "kernel_id": "6157271"}, {"ref": "amir78pgd/fork-of-minimal-lstm-g-f-nb-svm-baseline-ensem", "kernel_id": "6152493"}, {"ref": "amir78pgd/improved-lstm-baseline-glove-dropout-trainta", "kernel_id": "6334284"}, {"ref": "amir78pgd/bi-gru-lstm-dual-embedding-with-mish", "kernel_id": "6316099"}, {"ref": "amir78pgd/capsule-net-with-gru", "kernel_id": "6347034"}, {"ref": "amir78pgd/ensemble-1", "kernel_id": "6377081"}, {"ref": "amir78pgd/ensemble-6-blend", "kernel_id": "6458076"}, {"ref": "amir78pgd/lightgbm-with-select-k-best-on-tfidf", "kernel_id": "6455173"}, {"ref": "amir78pgd/ensemble-lightgbm", "kernel_id": "6442367"}, {"ref": "amir78pgd/ensemble-4-blend", "kernel_id": "6437952"}, {"ref": "amir78pgd/recurrent-capsule-network", "kernel_id": "6414698"}, {"ref": "amir78pgd/ensemble-3-blend", "kernel_id": "6433640"}, {"ref": "yonigottesman/lstm-pytorch", "kernel_id": "6551627"}, {"ref": "ghhwer/basics-3-unsupervised-beginner-mode", "kernel_id": "6221570"}, {"ref": "proxyy/toxic-comment-analysis", "kernel_id": "6627569"}, {"ref": "schateau/model-ensembling-part-1-bi-lstm-glove", "kernel_id": "6123154"}, {"ref": "didexe/exploring-multi-label-text-classification", "kernel_id": "6425831"}, {"ref": "arifali77/nb-svm-strong-linear-baseline-toxic-comment", "kernel_id": "6517333"}, {"ref": "arifali77/toxic-comment-classification-quora", "kernel_id": "6530649"}, {"ref": "barbaragarrido/toxic-comment-classification-barbara-blstm", "kernel_id": "6910420"}, {"ref": "austvan/research", "kernel_id": "6408318"}, {"ref": "savvisingh/tensorflow-vgg-like-charcnn", "kernel_id": "6024298"}, {"ref": "shitijrai/toxic-comment-classification", "kernel_id": "6383248"}, {"ref": "athews/toxicity-detection-eda-model", "kernel_id": "7372171"}, {"ref": "kamilpolak/toxic-comment-eda-distilbert", "kernel_id": "7649154"}, {"ref": "nilsine11202/toxic-comments", "kernel_id": "7911224"}, {"ref": "patricia92fa/jigsaw-competition-part-ii-ml-models", "kernel_id": "7156311"}, {"ref": "patricia92fa/jigsaw-competition-part-iii-cnns", "kernel_id": "7267719"}, {"ref": "nkaenzig/bert-tensorflow-2-huggingface-transformers", "kernel_id": "7362758"}, {"ref": "devicharith/toxic-classification-lstm", "kernel_id": "7176120"}, {"ref": "hpc8899/distilbert", "kernel_id": "7310886"}, {"ref": "wittmannf/guide-to-word-vectors-with-gensim-and-keras", "kernel_id": "8285012"}, {"ref": "lematmat/toxic-sentiment-analysis-lstm-lazy", "kernel_id": "8248641"}, {"ref": "doctorde/svm-class", "kernel_id": "8101387"}, {"ref": "shivam1600/sk-bidirectional-lstm-with-convolution", "kernel_id": "8265822"}, {"ref": "adhamsuliman1993/stackoverflow-python", "kernel_id": "8054853"}, {"ref": "tanaygupta/for-beginners-tackling-toxic-using-keras", "kernel_id": "8948679"}, {"ref": "ankitbarai507/toxic-comment-classification-with-bi-lstm", "kernel_id": "8872759"}, {"ref": "muhammadumarfarrukh/toxic-comments-nlp-predictions", "kernel_id": "8859163"}, {"ref": "prbronze/toxic-comment-challenge-modelling", "kernel_id": "8718701"}, {"ref": "guramritpalsaggu/lstm-with-convolution", "kernel_id": "8297712"}, {"ref": "laiyanting/text-classification-using-bert", "kernel_id": "8781260"}, {"ref": "sumant16/toxic-comment-classification", "kernel_id": "8007241"}, {"ref": "yangxh1791/keras-bert", "kernel_id": "8487823"}, {"ref": "qurb48/glove-gru", "kernel_id": "8891193"}, {"ref": "abhishek2195/toxic-comment-classification-project", "kernel_id": "8899618"}, {"ref": "charlesmatthews/toxic-twitter-with-keras-gru-1d-conv", "kernel_id": "8160486"}, {"ref": "manishachakraborty/toxic-comment-classification", "kernel_id": "8039876"}, {"ref": "punitchoudhary/stop-the-s-toxic-comments-eda-7ff763", "kernel_id": "8682575"}, {"ref": "sid0312/toxicity-check", "kernel_id": "8585165"}, {"ref": "darwinwin/toxic-comments-with-tf-embeddings-and-h2o-automl", "kernel_id": "8099181"}, {"ref": "vadimbezdushny/toxiccomm", "kernel_id": "9728992"}, {"ref": "eggwhites2705/transformers-multi-label-classification", "kernel_id": "9355198"}, {"ref": "bishwa/toxic-comment-classification", "kernel_id": "9758434"}, {"ref": "bishwa/toxic-comment-classification-using-bert", "kernel_id": "9778590"}, {"ref": "sjaswal007/kernel676d6bf815", "kernel_id": "9603992"}, {"ref": "arunabh98/nlp-project-final", "kernel_id": "9676136"}, {"ref": "bavalpreet26/hashing-vectorizer-2-models", "kernel_id": "9592203"}, {"ref": "bavalpreet26/tf-idf-4-models-compare", "kernel_id": "9588617"}, {"ref": "bavalpreet26/word2vec-pretrained", "kernel_id": "9573303"}, {"ref": "bavalpreet26/glove-pretrained", "kernel_id": "9792904"}, {"ref": "bankanikhil29/bidirectional-lstm-with-convolution", "kernel_id": "9468612"}, {"ref": "bankanikhil29/btp-2-0-mid-sem", "kernel_id": "9468656"}, {"ref": "gcspkmdr/toxiccommentfastai-custom-metrics", "kernel_id": "9774054"}, {"ref": "edelsteine/jigsaw-toxic-comment-classification", "kernel_id": "9311768"}, {"ref": "qurb48/lgb-gru-lr-lstm-nb-svm-average-ensemble", "kernel_id": "9064060"}, {"ref": "qurb48/kernel2f9724b85c", "kernel_id": "9070999"}, {"ref": "adegladius/bidirectional-lstm-zindi", "kernel_id": "9721407"}, {"ref": "adegladius/countvectorizer-tfidfvectorizer-predict-comments", "kernel_id": "9533819"}, {"ref": "bryanteh/modelling-nb-toxiccomments", "kernel_id": "9356056"}, {"ref": "parthtank/kernel6161f00a3b", "kernel_id": "9584714"}, {"ref": "sohaibwael/text-classification-using-nb-logistic-regression", "kernel_id": "9424084"}, {"ref": "orbenishay/toxic-comment-classification", "kernel_id": "9116562"}, {"ref": "chiragtatras/bert-tensorflow-2-huggingface-transformers", "kernel_id": "9469117"}, {"ref": "reddyml/sentiment-analysis", "kernel_id": "9482689"}, {"ref": "varshinithatiparthi/kernel38adeef37c", "kernel_id": "9769830"}, {"ref": "varshinithatiparthi/kernel64eed79506", "kernel_id": "9872677"}, {"ref": "locchaudy/dnn-hsb-toxic-comment-classification", "kernel_id": "9548838"}, {"ref": "avinash1704/kernel1dcc194136", "kernel_id": "9796933"}, {"ref": "mineshjethva/nlp-text-classification-lstm-conv", "kernel_id": "10842125"}, {"ref": "mastershifu/fastai-toxic", "kernel_id": "10329555"}, {"ref": "samson22/revisedbert", "kernel_id": "10634671"}, {"ref": "habibmrad1983/minimal-lstm-nb-svm-baseline-ensemble", "kernel_id": "10974075"}, {"ref": "jiahui604/a-comprehensive-eda", "kernel_id": "10168069"}, {"ref": "akshaybrijpuria/explainable-ai", "kernel_id": "10265536"}, {"ref": "mohamedberrimi/fighting-toxic-comments-gdg-mena-workshop", "kernel_id": "10178630"}, {"ref": "rahulbana/toxic-comment-classification-challenge-practice", "kernel_id": "10725017"}, {"ref": "muellerzr/end-to-end-fastai2", "kernel_id": "10203163"}, {"ref": "bavalpreet26/explainable-ai-lime-svc", "kernel_id": "10193089"}, {"ref": "bavalpreet26/explainable-ai-lime", "kernel_id": "10173078"}, {"ref": "ariannsz/easy-dnn-with-tensorflow-2-2", "kernel_id": "10417449"}, {"ref": "jaskarancr/shap-explainable-ai", "kernel_id": "10218350"}, {"ref": "valadares/begin-logistic-regression", "kernel_id": "10140074"}, {"ref": "sahib12/explainable-ai", "kernel_id": "10175197"}, {"ref": "adegladius/zindi-basicneedsbasicrights-kenya-bert-with-fastai", "kernel_id": "10146837"}, {"ref": "adegladius/zindi-brbn-logisticregression", "kernel_id": "10316204"}, {"ref": "adegladius/zindi-brbn-xgboost-glmnet-with-oof-files-using-r", "kernel_id": "10316218"}, {"ref": "adegladius/fastai-brbn-simple-gru-with-fasttext-version-3", "kernel_id": "10317632"}, {"ref": "adegladius/fastai-brbn-version-1", "kernel_id": "10310641"}, {"ref": "raj26000/toxic-comments-using-tfidf-and-onevsrestclassifier", "kernel_id": "10363202"}, {"ref": "vchauhanusf/99-4-text-accuracy-toxic-comments-classification", "kernel_id": "10835089"}, {"ref": "abhishekmyana/toxicity-classification", "kernel_id": "10452845"}, {"ref": "charuvermaa/kernel1d21ec3417", "kernel_id": "10183358"}, {"ref": "digvijayyadav/getting-started-with-nlp", "kernel_id": "10998727"}, {"ref": "hrithikviknesh/using-1d-conv-nets", "kernel_id": "10587344"}, {"ref": "dhawaallpanchal/countvectorizer-tfidfvectorizer-predict-comments", "kernel_id": "10680218"}, {"ref": "kashnitsky/catalyst-distilbert-multilabel-clf-toxic-comments", "kernel_id": "11016205"}, {"ref": "kalashnimov/weighted-logistic-regression-and-nbsvm", "kernel_id": "11344778"}, {"ref": "bmabir17/sentimant-evaluation-classification-using-bert", "kernel_id": "11160163"}, {"ref": "vin725k/toxic-comment-classification-challenge", "kernel_id": "11818081"}, {"ref": "longtng/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "11224718"}, {"ref": "maxjeblick/zero-shot-classification", "kernel_id": "11167460"}, {"ref": "mohit3101jeste/bi-gru-conv-pool-with-pre-processing", "kernel_id": "11342154"}, {"ref": "busydong/tackling-toxic-using-logsitc-regression-and-keras", "kernel_id": "11942091"}, {"ref": "sathishkumarsg10/beginner-bidirectional-lstm-using-glove-vectors", "kernel_id": "11732024"}, {"ref": "mastmustu/toxic-comments-classifications-using-ml", "kernel_id": "11338743"}, {"ref": "bharatanand/text-classification-using-bert", "kernel_id": "11403649"}, {"ref": "srinivasav22/keras-cnn-with-fasttext-embeddings", "kernel_id": "11193370"}, {"ref": "rajaraman6195/wordnet", "kernel_id": "11841017"}, {"ref": "rajaraman6195/toxic-comment-classification-using-bert", "kernel_id": "11840905"}, {"ref": "ptfrwrd/eda-text-numericalfeatures-for-logisticregression", "kernel_id": "11858836"}, {"ref": "abhishek2195/toxic-comment-cnn-modeling-single", "kernel_id": "11809162"}, {"ref": "abhishek2195/toxic-comment-cnn-modeling-final", "kernel_id": "11819157"}, {"ref": "sujeongcha/toxic-classification", "kernel_id": "11465602"}, {"ref": "abhishekprajapat/intermediate-ml", "kernel_id": "11139434"}, {"ref": "dsingh99/oversamplingrf", "kernel_id": "11030788"}, {"ref": "pinakimishrads/toxic-data-classification-with-regression", "kernel_id": "11989692"}, {"ref": "shivanshdwivedi/toxic-comment-classification", "kernel_id": "11162829"}, {"ref": "rajacsp/using-onevsrestclassifier", "kernel_id": "12035333"}, {"ref": "ravikiranbhonagiri/toxic-comments-eda", "kernel_id": "12504065"}, {"ref": "samansiadati/pytorch-alice-in-wonderland", "kernel_id": "12370628"}, {"ref": "fanbyprinciple/fastai2-nlp", "kernel_id": "12514867"}, {"ref": "azgartaj/offensive-and-hate-speech-recognition", "kernel_id": "12489749"}, {"ref": "wilderjoseth/classification-toxic-comment-tensorflow-2", "kernel_id": "12693601"}, {"ref": "hankarmostafa/bidirectional-lstm-model-0-99-acc", "kernel_id": "12651758"}, {"ref": "rog007/transformers", "kernel_id": "12370141"}, {"ref": "mohamedfarag96/nlp-tf-toxicity-classification", "kernel_id": "12821339"}, {"ref": "muhammadrehan444/bidirectional-lstm-toxic-comment-classification", "kernel_id": "12972508"}, {"ref": "alfayeed/spoonshot-improved-lstm-baseline-glove-dropout", "kernel_id": "12570180"}, {"ref": "aadeshbaral/toxic-comment-using-lstm", "kernel_id": "12759568"}, {"ref": "jainanu/toxic-comment-classification-challenge", "kernel_id": "12660640"}, {"ref": "aavinashvijay/multilabel-classification", "kernel_id": "12037753"}, {"ref": "thientoantran/jigsaw-toxic-comment-v1", "kernel_id": "12392476"}, {"ref": "vortexkol/glove-toxic-comments-classification", "kernel_id": "12057778"}, {"ref": "rvdaiya/comment-toxicity-fy-project", "kernel_id": "12449448"}, {"ref": "shishirkumar/fasttext-labelling", "kernel_id": "13237158"}, {"ref": "shishirkumar/toxic-comment-classification-eda", "kernel_id": "13460152"}, {"ref": "qfang6/toxic-comment-classification-nb-svm-xgb", "kernel_id": "13863270"}, {"ref": "sergeydor/notebook0db6228553", "kernel_id": "13172856"}, {"ref": "vaibhav29498/merge-datasets", "kernel_id": "13958249"}, {"ref": "dravid/naive-bayes-model", "kernel_id": "13277380"}, {"ref": "anirbansen3027/jtcc-fasttext-supervised", "kernel_id": "13809250"}, {"ref": "anirbansen3027/jtcc-word2vec", "kernel_id": "13812215"}, {"ref": "anirbansen3027/jtcc-bag-of-words", "kernel_id": "13797424"}, {"ref": "anirbansen3027/jtcc-cnn", "kernel_id": "13834312"}, {"ref": "anirbansen3027/jtcc-multilabel-bert-pytorch", "kernel_id": "13853616"}, {"ref": "anirbansen3027/jtcc-multilabel-lstm-keras", "kernel_id": "13850219"}, {"ref": "trehansalil1/toxic-dataset", "kernel_id": "13445038"}, {"ref": "dheerajsachdeva96/toxic-dataset", "kernel_id": "13442394"}, {"ref": "runankaroy/symspell-spell-corrector", "kernel_id": "13097889"}, {"ref": "sagarjiyani/toxic-comment-classifier", "kernel_id": "13425223"}, {"ref": "vanditharai/dsba-project", "kernel_id": "13286055"}, {"ref": "swathi314/toxic-comments-eda-non-semantic-baseline", "kernel_id": "13306597"}, {"ref": "ahmedabdalgalil/glove-toxic-comments-classification-edite", "kernel_id": "13484508"}, {"ref": "sandeepsingh3480/svm-toxic-comments-classification-challenge", "kernel_id": "13109730"}, {"ref": "archingupta/archin-gupta-101703094-coe5", "kernel_id": "13098573"}, {"ref": "nguyenphuthien/bidirectional-lstm-toxic-comment-classification", "kernel_id": "13437322"}, {"ref": "metrisrashmi/toxic-comments-problem-novice-s-approach", "kernel_id": "13401337"}, {"ref": "mina87/interpreting-bert-sequence-classification", "kernel_id": "14045616"}, {"ref": "eakdag/sena-notebook", "kernel_id": "14124591"}, {"ref": "krishnarajut/jigsaw-toxic-comment-classification", "kernel_id": "14240885"}, {"ref": "kasmithh/toxic-comment-classification-data-view", "kernel_id": "14060173"}, {"ref": "ajayganti/toxic-comment-classifier-e2e", "kernel_id": "14166374"}, {"ref": "ssarkar445/getting-started-with-transformers-bert-toxiccomm", "kernel_id": "14361861"}, {"ref": "aldonistan/bert-tf2-multilabel-classification", "kernel_id": "14745739"}, {"ref": "irfanmansuri/toxic-comments", "kernel_id": "14822584"}, {"ref": "deeron/toxic-comment-classification", "kernel_id": "14100222"}, {"ref": "sasidharturaga/eda-step-wise-preprocess-and-lstm-classifier", "kernel_id": "14136567"}, {"ref": "nikolaidebono/toxicity-classification", "kernel_id": "14645097"}, {"ref": "amrutiashivani/bilstm-toxic-comment-classification", "kernel_id": "14225794"}, {"ref": "amogh3015/toxic-comments-98-auc-roc-score", "kernel_id": "14841453"}, {"ref": "mustafakusoglu/b-y-k-veri-dev", "kernel_id": "14113644"}, {"ref": "satyamkryadav/bert-model-96-77", "kernel_id": "14272122"}, {"ref": "away24/toxic-classification-gru-with-glove-and-fasttext", "kernel_id": "14195731"}, {"ref": "chantefu/nlp-001", "kernel_id": "14874076"}, {"ref": "gtgindia/eda-jigsaw-toxic-comment-dl", "kernel_id": "15831763"}, {"ref": "garipurv/toxic-hate-comment-classification", "kernel_id": "15564546"}, {"ref": "bineeshsps/jigsaw", "kernel_id": "15147281"}, {"ref": "raushan07/toxic-comments", "kernel_id": "15258992"}, {"ref": "carlrynegardh/berter", "kernel_id": "15943867"}, {"ref": "vippatil/toxic-comment-using-lstm", "kernel_id": "15414242"}, {"ref": "vippatil/classification-ml", "kernel_id": "15416137"}, {"ref": "siddhartamukherjee/toxic-comment-classification-accuracy-96-93", "kernel_id": "15359503"}, {"ref": "syphax93/toxic-comment-classification-challenge", "kernel_id": "15384383"}, {"ref": "chenxidong/binary-toxic-text-classifications-using-nn", "kernel_id": "15789750"}, {"ref": "zazzyjan/simple-lightgbm-classifier", "kernel_id": "15745702"}, {"ref": "ashithbhandary/multilabel-classification-for-toxic-comments", "kernel_id": "15313685"}, {"ref": "kong1999/toxic-comment-classification-accuracy-96-93", "kernel_id": "15734683"}, {"ref": "dawool1218/toxic-comment-210531-dl-p", "kernel_id": "15905134"}, {"ref": "santosh1974/toxic-comment-classification-nlp", "kernel_id": "15763166"}, {"ref": "gtgindia/jigsaw-toxic-comment-2-ml", "kernel_id": "16772367"}, {"ref": "gtgindia/eda-jigsaw-toxic-comment-word2vec", "kernel_id": "16427105"}, {"ref": "pranjalv1/notebookd3d8b1ab0c", "kernel_id": "16082722"}, {"ref": "subinium/how-to-visualize-text-dataset", "kernel_id": "16906701"}, {"ref": "jgdshkovi/bert-model-twitter", "kernel_id": "16369286"}, {"ref": "walras/nlp-toxic-comments", "kernel_id": "16155153"}, {"ref": "debasisdotcom/toxic-comment-classification-eda-glove-lstm", "kernel_id": "16994729"}, {"ref": "carlrynegardh/few-shot-learning-w-distilbert", "kernel_id": "16231680"}, {"ref": "phylake1337/toxicity-classifier", "kernel_id": "16609624"}, {"ref": "kailor/toxic-comment-classification-project", "kernel_id": "16909296"}, {"ref": "danielrevgon/daniel-revuelta-gonz-lez-tarea-mod-5", "kernel_id": "16649300"}, {"ref": "puppakcheera/toxic-nn", "kernel_id": "16069460"}, {"ref": "dinhxuanlinh/myfinalreport", "kernel_id": "16785826"}, {"ref": "gtgindia/toxic-comment-ml-implementation-confusion-matrix", "kernel_id": "17244150"}, {"ref": "gtgindia/toxic-comment-ml-implementation", "kernel_id": "17175852"}, {"ref": "gtgindia/toxic-comment-classification-ml-xgb-lgbm", "kernel_id": "17218938"}, {"ref": "gtgindia/jigsaw-toxic-comment-preprocess", "kernel_id": "17239698"}, {"ref": "gtgindia/final-move-on-project", "kernel_id": "17773847"}, {"ref": "shivam199/toxicityincommentclassification-glove-300d-blstm", "kernel_id": "17246435"}, {"ref": "ankitp013/embeddings-multilabel-classification", "kernel_id": "17312657"}, {"ref": "praveengadiyaram/multilabel-classification-jigsaw", "kernel_id": "17160868"}, {"ref": "maunish/clrp-pytorch-roberta-pretrain", "kernel_id": "17374041"}, {"ref": "yiehyuheng/toxic-comments-detection-glove-lightgbm", "kernel_id": "17345576"}, {"ref": "dilip97/toxic-project-ml", "kernel_id": "17370755"}, {"ref": "dilip97/gru-model", "kernel_id": "17371873"}, {"ref": "wangyuren/toxic-comment-classification-by-bert", "kernel_id": "17717524"}, {"ref": "theoleung/toxic-comment-classification-with-glove-embeddings", "kernel_id": "17190552"}, {"ref": "billiemage/toxic-comments-classification-lstm-with-glove11", "kernel_id": "17032683"}, {"ref": "ruiqadam/countvectorizer-tfidfvectorizer-predict-comments", "kernel_id": "17101056"}, {"ref": "yavinar/toxicity-dataset-00-helper-functions", "kernel_id": "17236748"}, {"ref": "rafaelaprm/toxic-comment-classification", "kernel_id": "18164069"}, {"ref": "prak10/toxic-comments-classification-using-nlp-models", "kernel_id": "18654264"}, {"ref": "raryan/jigsaw-toxic-comment-bert-base-uncased", "kernel_id": "18358597"}, {"ref": "vib019/vib-acc1", "kernel_id": "18352516"}, {"ref": "bannourchaker/bert-text-classification-nobatch", "kernel_id": "18802402"}, {"ref": "dianakapatsyn/hackathon", "kernel_id": "18297885"}, {"ref": "muhardianabasandi/lstm-jigsaw-toxiccomment-classification", "kernel_id": "18208553"}, {"ref": "rajeev064/toxic-comment", "kernel_id": "18337069"}, {"ref": "teetu078/toxic-comment-classification-multilabel", "kernel_id": "19195995"}, {"ref": "nisarg3patel/bert-acc-0-98403", "kernel_id": "19459881"}, {"ref": "krishnamore/fine-tunning-pytorch-catalyst", "kernel_id": "19333452"}, {"ref": "anweshadan/toxic-comments-classification", "kernel_id": "19456414"}, {"ref": "brandonbenton/toxic-comment-classification", "kernel_id": "19478560"}, {"ref": "antonvasyanovich/neutralnetwork", "kernel_id": "19264219"}, {"ref": "gtskyler/toxic-comments-bert", "kernel_id": "20256990"}, {"ref": "nileshsuthar/jigsaw-toxic", "kernel_id": "20825218"}, {"ref": "sourav044/symspell-spell-corrector", "kernel_id": "20090002"}, {"ref": "cheeponglee/toxic-comment-multilabel-distilbert", "kernel_id": "20253623"}, {"ref": "cheeponglee/toxic-comment-classification", "kernel_id": "20057494"}, {"ref": "cheeponglee/toxic-comment-multilabel-v2", "kernel_id": "20101012"}, {"ref": "cheeponglee/toxic-comment-multilabel-mobilebert", "kernel_id": "20274262"}, {"ref": "cheeponglee/toxic-comment-multilabel-tinybert", "kernel_id": "20277611"}, {"ref": "isaneawais/nb-svm-strong-linear-baseline", "kernel_id": "20282377"}, {"ref": "oceands/bert-model-for-dummies", "kernel_id": "20288358"}, {"ref": "alokevil/01-strong-baseline-model", "kernel_id": "21380383"}, {"ref": "avinashanand/its-good-assign-3", "kernel_id": "21617828"}, {"ref": "lucasvalentim/toxic-comment-classification-challenge", "kernel_id": "21267239"}, {"ref": "geochatz/toxic-comment-multilabel-classification", "kernel_id": "21710549"}, {"ref": "alibaba19/jigsaw-training-ulmfit-w-fastai", "kernel_id": "21860731"}, {"ref": "alibaba19/jigsaw-ulmfit-fastai-inference", "kernel_id": "21887384"}, {"ref": "pedroaxs/va1-tm", "kernel_id": "21307239"}, {"ref": "devkhant24/jigsaw-comment-toxicity-bidirectional-gru", "kernel_id": "21881214"}, {"ref": "akankshasingh2001/jigsaw-toxic-comment-classification", "kernel_id": "21202115"}, {"ref": "ingopastl/nlp-i-guess-i-gotta-do-this-toxic-edition", "kernel_id": "21000297"}, {"ref": "mateuslins/toxic-comments-classification-with-log-regression", "kernel_id": "21262125"}, {"ref": "diasdouglas/toxic-comment-classification", "kernel_id": "21223026"}, {"ref": "ekaterinadranitsyna/regression-ensemble-lb-0-78", "kernel_id": "21962447"}, {"ref": "claudiofilho/tccc-naive-bayes", "kernel_id": "21247109"}, {"ref": "duckandcover/nlp-toxic-comments", "kernel_id": "21935646"}, {"ref": "rodrigobrazil/toxic-comment-classification-challenge-keras", "kernel_id": "21181451"}, {"ref": "animeshbhardwajjnnk/toxic-comment-multilabel-classification", "kernel_id": "21798673"}, {"ref": "animeshbhardwajjnnk/toxic-comments-bert", "kernel_id": "21867756"}, {"ref": "skywolkher/toxic-comments-hugo-alves", "kernel_id": "21180625"}, {"ref": "brunosantacruz/jigsaw-toxic-comment-classification-challenge", "kernel_id": "21257235"}, {"ref": "jdoesv/baseline-data-prep", "kernel_id": "22110641"}, {"ref": "shravankumar147/bert-toxic-classifier-shravan", "kernel_id": "22772215"}, {"ref": "shravankumar147/bert-pytorch-dataset-preperation", "kernel_id": "22727949"}, {"ref": "gauravbrills/jigsaw-luke-train-with-torch-xla", "kernel_id": "22093864"}, {"ref": "raghavendrakotala/preprocessing-jigsaw-data-with-datasets", "kernel_id": "22156356"}, {"ref": "raghavendrakotala/jigsaw-simple-classification-with-dataset-trainer", "kernel_id": "22163412"}, {"ref": "neosoonhua/train-csv-for-use", "kernel_id": "22983033"}, {"ref": "yasufuminakama/jigsaw4-luke-base-starter-train", "kernel_id": "22071684"}, {"ref": "get2jawa/nlp-basic-eda-cleaning-lstm-lb-0-79", "kernel_id": "22076659"}, {"ref": "radsebastian/toxic-comment-classification", "kernel_id": "22987370"}, {"ref": "armanhak/jigsaw-toxic-comment-classification", "kernel_id": "22811396"}, {"ref": "anastasiiaselezen/glance-at-the-data", "kernel_id": "22465931"}, {"ref": "adldotori/all-in-one-dataset", "kernel_id": "22457529"}, {"ref": "adldotori/huggingface-distilbertclassification-starter", "kernel_id": "22110400"}, {"ref": "seraphwedd18/jigsaw-toxic-severity-lightgbm-training", "kernel_id": "22098766"}, {"ref": "seraphwedd18/jigsaw-toxic-severity-word-usage-scoring", "kernel_id": "22226359"}, {"ref": "ravenstorm10/final-project-data-mining", "kernel_id": "22507208"}, {"ref": "lonnieqin/toxicity-classification-word2vec-tfidf", "kernel_id": "22091890"}, {"ref": "mst8823/roberta-base-with-jigsaw-toxic-comment-infer", "kernel_id": "22080361"}, {"ref": "mst8823/roberta-base-with-jigsaw-toxic-comment-train", "kernel_id": "22080309"}, {"ref": "mahmoudlimam/comparing-toxicities", "kernel_id": "22416066"}, {"ref": "olgaparshina/toxic-comment-model", "kernel_id": "22305201"}, {"ref": "sumedhapoonia/toxic-comments-classification", "kernel_id": "22759697"}, {"ref": "moisscarlos/moises-toxic-comment-classification", "kernel_id": "22914160"}, {"ref": "woo990307/jigsaw-rate-severity-of-toxic-comments", "kernel_id": "22732236"}, {"ref": "bileltaboubi/identify-and-classify-toxic-online-comments", "kernel_id": "22948001"}, {"ref": "shravankumar147/2-toxic-comment-data-preperation", "kernel_id": "23878289"}, {"ref": "fangya/nlp-jigsaw-mindful-words-eda-tf-idf-svm", "kernel_id": "23775925"}, {"ref": "kaerunantoka/jigsaw4-previous-data-preprocessing", "kernel_id": "23944044"}, {"ref": "palash97/bert-pytorch-starter-code-training", "kernel_id": "23768867"}, {"ref": "pavan9065/nb-svm-strong-linear-baseline", "kernel_id": "23052678"}, {"ref": "anki112279/toxic-comment-prediction", "kernel_id": "23079653"}, {"ref": "eleonoraparrag/jigsaw-severity", "kernel_id": "23898788"}, {"ref": "mayank00rastogi/ensemble-ridge-model", "kernel_id": "23904828"}, {"ref": "kedermallick/toxic-comment-classification", "kernel_id": "23713009"}, {"ref": "kathleenlee/jigsaw", "kernel_id": "23910422"}, {"ref": "hidebu/luke-base-add-datasets-private-0-8011", "kernel_id": "23820401"}, {"ref": "sachinsachan2021/basic-building-with-logistic-and-ovr", "kernel_id": "23653960"}, {"ref": "rajivaiml/toxic-comments-multi-label-classification", "kernel_id": "23901294"}, {"ref": "yezyouo/ridge-ensemble-with-data-augment", "kernel_id": "23684805"}, {"ref": "zsofislosar/toxicity-data-prep", "kernel_id": "23775521"}, {"ref": "danielcwq/jigsaw-training-fastai-part-1-v1-1", "kernel_id": "23735949"}, {"ref": "skiller/classical-ensemble-model-0-8", "kernel_id": "24259855"}, {"ref": "coreacasa/jigsaw4-luke-large-training-tito-cv-strategy", "kernel_id": "24434176"}, {"ref": "coreacasa/jigsaw4-luke-base-training-tito-cv-strategy", "kernel_id": "24433726"}, {"ref": "eligijus/toxicity-grid-search-xgboost-model", "kernel_id": "24174470"}, {"ref": "kaerunantoka/jigsaw4-create-additional-pair-w-jigsaw1", "kernel_id": "24449779"}, {"ref": "vainero/toxic-comments-1d-convolutions-with-keras", "kernel_id": "24726590"}, {"ref": "santhoshkumarv/roberta-toxic-classification-inference", "kernel_id": "24673148"}, {"ref": "sravanneeli/toxic-comment-classification", "kernel_id": "24429432"}, {"ref": "abandonblue1015/bert-toxic-comment-detection-cls-avg-glo", "kernel_id": "24069009"}, {"ref": "mahmoudreda55/toxic-comment-classification", "kernel_id": "24970481"}, {"ref": "priyalbhardwaj/mdtc-rev-1", "kernel_id": "24698864"}, {"ref": "mikhalil/toxic-comment-clasiftionsification", "kernel_id": "24920389"}, {"ref": "mikhalil/huggingface-distilbertclassification-starter", "kernel_id": "24886760"}, {"ref": "ilosvigil/jigsaw-train-debertav3-pytorch-lightning", "kernel_id": "24381771"}, {"ref": "arvinddevarkonda/toxic-comment-classification", "kernel_id": "24226699"}, {"ref": "mohammednamory/cnn-toxic", "kernel_id": "24182993"}, {"ref": "alexiscol/keras-embedding-lstm", "kernel_id": "24219808"}, {"ref": "renokan/toxic-comments-tag-word-analysis-not-stopwords", "kernel_id": "24158162"}, {"ref": "renokan/toxic-comments-tag-word-analysis-and-stopwords", "kernel_id": "24157341"}, {"ref": "renokan/toxic-comments-get-predicts-by-detoxify-model", "kernel_id": "24347624"}, {"ref": "imanmkhamis/rnn-for-classification", "kernel_id": "24730277"}, {"ref": "eileends/jigsaw-model-selection", "kernel_id": "24012503"}, {"ref": "looooooooow/toxic-comment-example", "kernel_id": "24298734"}, {"ref": "vladimir92gorev/toxic-comment-classification-tf-idf-classicml", "kernel_id": "24729332"}, {"ref": "jayantmalik/review-1-jayant-malik-18bit0474", "kernel_id": "24679689"}, {"ref": "abhinavjhanwar/pretrained-embedding-keras-lstm-classification", "kernel_id": "25199550"}, {"ref": "abhinavjhanwar/word-embedding-keras-lstm-classification", "kernel_id": "25196162"}, {"ref": "unizy22/toxic-comment-classification", "kernel_id": "25272868"}, {"ref": "denojitnath/toxic-classfication-using-huggingface", "kernel_id": "25771961"}, {"ref": "amitrobertbaroi/project-toxic-comment-classification", "kernel_id": "25812980"}, {"ref": "viktorurushkin/catboost-toxic-classifier", "kernel_id": "25348967"}, {"ref": "viktorurushkin/pytorch-distill-bert-huggingface", "kernel_id": "25336418"}, {"ref": "davious/toxic-comment-classification", "kernel_id": "25657865"}, {"ref": "jeeltttt/irs-prac3-19bce283", "kernel_id": "25269979"}, {"ref": "jeremyarancio/toxic-comments-classification-nb-logistic", "kernel_id": "25672890"}, {"ref": "mitulnakrani/19bce139-irs-practical3", "kernel_id": "25207553"}, {"ref": "preet45/19bce192-irs-prac3", "kernel_id": "25269597"}, {"ref": "radadiyachirag/irs-prac-3", "kernel_id": "25295795"}, {"ref": "anshray/countvect-tfidfvect-toxic-comment-irs-prac-3", "kernel_id": "25269466"}, {"ref": "raviyavatsal/irs-prac3-countvector-tfidfvector", "kernel_id": "25270089"}, {"ref": "shivam0105/irs-practical-3", "kernel_id": "25292769"}, {"ref": "rathodmayur3/19bce221-practical3-irs", "kernel_id": "25291645"}, {"ref": "aayush349/practical3-irs-19bce245", "kernel_id": "25269303"}, {"ref": "pooja42/irs-practical-3", "kernel_id": "25713365"}, {"ref": "sachichaudhary/19bce230-prac-3-irs", "kernel_id": "25269940"}, {"ref": "saniyainamdar2k1/toxic-comments-classification-onevsrestclassifier", "kernel_id": "26183574"}, {"ref": "gowthaminagappan/toxic-twitter-with-keras-gru-1d-conv", "kernel_id": "26176721"}, {"ref": "victorarmentavaldes/midterm-module-7-uol", "kernel_id": "26583477"}, {"ref": "benjaminschlup/toxic-comment-classification", "kernel_id": "26327299"}, {"ref": "abrh119/v5-bert-pytorch-heavyram", "kernel_id": "26172630"}, {"ref": "pedrocarranzavelez/59080-redesneuronales-tp0", "kernel_id": "26695999"}, {"ref": "nithiyashrees/toxic-comment-classification-13a884", "kernel_id": "26769276"}, {"ref": "unizy22/model-checking", "kernel_id": "27056471"}, {"ref": "lakshmiyashas/notebookd20895baf9", "kernel_id": "27124019"}, {"ref": "unizyy/toxic-comment", "kernel_id": "27087458"}, {"ref": "marimmedhat/nlp-v1", "kernel_id": "28738438"}, {"ref": "rahmafarag/dl-final", "kernel_id": "28571294"}, {"ref": "asmaamohy/version-1", "kernel_id": "28567867"}, {"ref": "shreyasdhaware/bert-classification-with-hf-trainer", "kernel_id": "28593754"}, {"ref": "ravikumarmn/toxic-comment-classification-tensorflow-98-52", "kernel_id": "28442146"}, {"ref": "edoardobianchi/toxic-comment-classification", "kernel_id": "28359500"}, {"ref": "dhirendra73/toxic-comment-glove-and-gru-with-97-accuracy", "kernel_id": "28441231"}, {"ref": "renadn/don-t-you-know-that-i-m-toxic-britney", "kernel_id": "28262099"}, {"ref": "pablogonzalezleiro/notebook65de142962", "kernel_id": "28460736"}, {"ref": "sindhusharma12/toxicity-detection-eda-model", "kernel_id": "28169323"}, {"ref": "yagli18/toxic-comment-classification-challenge", "kernel_id": "29944248"}, {"ref": "aakash4235/multi-label-classification-using-onevsrest", "kernel_id": "29648853"}, {"ref": "anshulrao/toxic-comment-classification", "kernel_id": "29253864"}, {"ref": "danrosa10/comp-toxic-tweets", "kernel_id": "29368004"}, {"ref": "maverickss26/multi-label-toxic-comment-classification", "kernel_id": "29912651"}, {"ref": "kemalfarukbaaran/toxiccomment", "kernel_id": "29924703"}, {"ref": "sahithich3812/mini-btp", "kernel_id": "29067345"}, {"ref": "sahithich3812/neuro-project", "kernel_id": "29725411"}, {"ref": "jarvis11/toxic-comment-classification-eda", "kernel_id": "29217169"}, {"ref": "alehovm/textmi", "kernel_id": "29415008"}, {"ref": "prabhatchowdhary/toxicity-checker", "kernel_id": "30242568"}, {"ref": "rasbtn/distilbert-v0", "kernel_id": "31308091"}, {"ref": "xiefei/05-toxic-comment-classification-challenge", "kernel_id": "31605766"}, {"ref": "tunguz/distilbert-v0", "kernel_id": "31330872"}, {"ref": "tunguz/toxic-comments-with-embeddings-and-rapids-lr", "kernel_id": "31468281"}, {"ref": "tunguz/toxic-comments-with-embeddings-and-rapids-svc", "kernel_id": "31469806"}, {"ref": "tunguz/tfidf-with-rapids", "kernel_id": "31700913"}, {"ref": "afifahfq/jtcc-cnn", "kernel_id": "31828559"}, {"ref": "sanjaytanwar/toxicity", "kernel_id": "31088170"}, {"ref": "lucapapariello/distilbert-v0-fast", "kernel_id": "32065890"}, {"ref": "chandrareddy313213/nlp-jigsaw-mindful-words-eda-tf-idf-svm", "kernel_id": "32075058"}, {"ref": "haru3ppang/toxiccommentclassification-logisticregression", "kernel_id": "32352773"}, {"ref": "omkarcgode/toxic-comment-classification-nlp-using-pytorch", "kernel_id": "32034248"}, {"ref": "akkefa/toxic-comment-classification-with-zero-shot-model", "kernel_id": "33484104"}, {"ref": "akkefa/calculate-mean-column-wise-roc-auc-score", "kernel_id": "33926369"}, {"ref": "akkefa/eda-toxic-comment-classification-challenge", "kernel_id": "33835485"}, {"ref": "olyamasaeva/homework-4", "kernel_id": "33377205"}, {"ref": "prabhanjanjadhav/toxic-comment-classification-nlp-using-pytorch", "kernel_id": "33451750"}, {"ref": "dinhthekiet/fork-of-intro", "kernel_id": "33654478"}, {"ref": "jayeshsonawane/toxic-comment-classification", "kernel_id": "33431803"}, {"ref": "rracer17/part-ii-bert-model-for-comment-classification", "kernel_id": "33910236"}, {"ref": "akkefa/finetuning-distilbert-toxic-comment-classification", "kernel_id": "34019020"}, {"ref": "hetarthchopra/nlp-neural-network-feature-importance", "kernel_id": "34603172"}, {"ref": "mshaldzhiyan/distilbert-multilabel", "kernel_id": "34580843"}, {"ref": "ezgiorhan/toxic-comment-classification", "kernel_id": "34031842"}, {"ref": "yuqiaozhao/toxic-comment-classification-nlp-using-pytorch", "kernel_id": "34816045"}, {"ref": "ankitajenaa/glove-and-gru", "kernel_id": "34607289"}, {"ref": "whitefox666/testing-for-toxic", "kernel_id": "34604343"}, {"ref": "calvinpower/distilbert-v0-fast-3c53e5", "kernel_id": "34417283"}, {"ref": "tunguz/new-train-test-cleaned", "kernel_id": "35381527"}, {"ref": "tunguz/sparse-tf-idf-features-cleaned-text", "kernel_id": "35382382"}, {"ref": "yasininal/toxicity-distilbert", "kernel_id": "35781226"}, {"ref": "apurvayadav29/comment-hate-prediction", "kernel_id": "35244770"}, {"ref": "ronakpanchalk9/comments-toxicity", "kernel_id": "35699639"}, {"ref": "yashvi132/toxic-comment-classification-spacy", "kernel_id": "35431512"}, {"ref": "rudraksh25/basic-word2vec-using-gensim", "kernel_id": "36305101"}, {"ref": "ishraqahmed/lstm-gru-project-dl-iti-ai-43", "kernel_id": "36112268"}, {"ref": "bilalafzal255/toxic-comments-classification-using-transformers", "kernel_id": "36538101"}, {"ref": "aleemaparakatta/nlp-toxic-comments-classification-lstm", "kernel_id": "36425173"}, {"ref": "hebaatef/toxic-comments-classification", "kernel_id": "36104714"}, {"ref": "wepasabyrow/toxic-comment-classification-challenge", "kernel_id": "36324086"}, {"ref": "raghavgovindjha/toxiccommentanalyzer", "kernel_id": "36259091"}, {"ref": "perotti/for-beginners-tackling-toxic-using-keras", "kernel_id": "37998568"}, {"ref": "kavyasreeb/toxic-comment-classification-eda", "kernel_id": "37071279"}, {"ref": "stpeteishii/toxic-comments-vectorizer-lightning-linear", "kernel_id": "37936609"}, {"ref": "fanot89/dishes-and-bert", "kernel_id": "37822777"}, {"ref": "mazenahmed11/toxiccomment", "kernel_id": "37955941"}, {"ref": "aryan2003/toxic-comments-classification", "kernel_id": "37153858"}, {"ref": "parameswartenneti/toxic-comments-classification", "kernel_id": "37472502"}, {"ref": "karthiksharma7/mini-project", "kernel_id": "37377264"}, {"ref": "z1zsss/toxic-comments-classfication-with-ml", "kernel_id": "37574900"}, {"ref": "mastmustu/explainable-ai-lime-svc", "kernel_id": "38721185"}, {"ref": "lonnieqin/toxicity-classification-with-kerasnlp", "kernel_id": "38255745"}, {"ref": "funkeymonkey/nb-svm-strong-linear-baseline", "kernel_id": "38428438"}, {"ref": "adarshsharma1132/comment-toxicity-model", "kernel_id": "38386501"}, {"ref": "shivammishr/comment-prediction", "kernel_id": "38788203"}, {"ref": "venkateshby/team-syntactic-set", "kernel_id": "38430471"}, {"ref": "z1zsss/toxic-comments-with-lstm", "kernel_id": "38051459"}, {"ref": "z1zsss/improved-lstm", "kernel_id": "38138574"}, {"ref": "kurusso/detoxify", "kernel_id": "38512889"}, {"ref": "rimarebei/finetuning-distilbert-metoo-tweet-classification", "kernel_id": "38238281"}, {"ref": "arlankalin/bert-model-for-classification-of-toxic-data", "kernel_id": "39543561"}, {"ref": "panzerottodiguerra/nlp-part-4-word-sentence-embeddings", "kernel_id": "39431864"}, {"ref": "sourabhsingh03993493/toxic-comment", "kernel_id": "39302390"}, {"ref": "tomergrossy/final-project-toxic-comment-classification", "kernel_id": "39806431"}, {"ref": "asyalox/asyalox-tcc-submit", "kernel_id": "39846707"}, {"ref": "czlcode/csck507", "kernel_id": "40652832"}, {"ref": "suraj520/naive-bayes-know-it-fit-it-infer-via-it", "kernel_id": "40413899"}, {"ref": "saimmm/distil-bert", "kernel_id": "40632367"}, {"ref": "ashishsshinde/bidirectional-lstm-with-convolution", "kernel_id": "40267644"}, {"ref": "rehmamanaalrizvi/crying", "kernel_id": "40027375"}, {"ref": "mollybaxter/randomforest", "kernel_id": "40805174"}, {"ref": "atharvamartiwar/toxic-comment-classification-nlp", "kernel_id": "41638922"}, {"ref": "pawankumargunjan/toxic-comment-classification", "kernel_id": "41486732"}, {"ref": "cg24hr/toxic-comment-classification", "kernel_id": "41858747"}, {"ref": "rracer17/miniproj-part-ii", "kernel_id": "41533136"}, {"ref": "ryzhokhina/toxic-comment-classification-challenge", "kernel_id": "42264593"}, {"ref": "pragug/support-vector-machine", "kernel_id": "42781432"}, {"ref": "rajpulapakura/comment-toxicity-classification", "kernel_id": "42082178"}, {"ref": "sakilsazzadjoy/v-1-1-1-toxic-comment-classification-jigsaw", "kernel_id": "42569281"}, {"ref": "sakilsazzadjoy/finall", "kernel_id": "42774021"}, {"ref": "sungting/comment-toxicity-classification", "kernel_id": "42626322"}, {"ref": "gyfkyy/comment-toxicity-classification", "kernel_id": "42626376"}, {"ref": "easonncu/bert-model-by-indian", "kernel_id": "42817713"}, {"ref": "aganguly/toxic-classification-cnn-glove", "kernel_id": "43276738"}, {"ref": "aganguly/toxic-classification-transformer-with-glove-embed", "kernel_id": "43292817"}, {"ref": "pragug/svm-final", "kernel_id": "43670285"}, {"ref": "dottiemc/logistic-regression", "kernel_id": "43312518"}, {"ref": "asmaamohammed88/toxicity-classification", "kernel_id": "44009081"}, {"ref": "mostafamohammednouh/toxic-comments-classification-wth-lstm-based-model", "kernel_id": "44929999"}, {"ref": "samarthagaliprasad/bert-for-toxicity", "kernel_id": "44417968"}, {"ref": "msrehman111/nlp-toxic-comments-classification-lstm", "kernel_id": "44970774"}, {"ref": "daothinh/keras-cnn-with-fasttext-embeddings", "kernel_id": "44718060"}, {"ref": "cosmo13/for-beginners-tackling-toxic-using-keras", "kernel_id": "44293137"}, {"ref": "lonnieqin/ai-generated-text-detector-with-kerasnlp", "kernel_id": "45462567"}, {"ref": "pragug/bert2", "kernel_id": "45528160"}, {"ref": "gauravan/toxic-comment-classifier-model-building", "kernel_id": "45696306"}, {"ref": "gauravan/toxic-comment-classifier-analysis", "kernel_id": "45696231"}, {"ref": "raviusz/jigsaw-toxic-comment", "kernel_id": "45196108"}, {"ref": "surajrs111/toxicity-lstm", "kernel_id": "45149433"}, {"ref": "yossavadeesukritha/toxic-commnet-classification", "kernel_id": "45820340"}, {"ref": "onikayadav8/bert2", "kernel_id": "45884073"}, {"ref": "yudumpacin/toxic-comments", "kernel_id": "46454767"}, {"ref": "lalitschowdhury/tackling-toxic-using-keras", "kernel_id": "46498575"}, {"ref": "anhnguyenphan/toxic-comment-cv", "kernel_id": "47971508"}, {"ref": "dsidharth/toxic-comment-classifier", "kernel_id": "47967587"}, {"ref": "pragyashakya/toxic-comment-classifier-using-svm", "kernel_id": "48694354"}, {"ref": "youssefshaaban/notebook02e90c63b3", "kernel_id": "48649231"}, {"ref": "titanpointe/cyberbullying-tweets-eda-automl-dl-bert", "kernel_id": "48212851"}, {"ref": "sajjadhadi/toxic-comment-classification-w-torch-distilbert", "kernel_id": "48217940"}, {"ref": "yousefadham/deep-phase-3", "kernel_id": "48446658"}, {"ref": "yousefadham/working-hatebert", "kernel_id": "48839668"}, {"ref": "hngngkhc/dang-note", "kernel_id": "48775260"}, {"ref": "berkaysahiin/bert-fine-tune", "kernel_id": "48288978"}, {"ref": "pranaydeepkorada/notebookda7095b0c4", "kernel_id": "49372015"}, {"ref": "mursalinbashar/fyp-2", "kernel_id": "49456281"}, {"ref": "sadiaahmmed1709/toxic-comment-classification", "kernel_id": "49983600"}, {"ref": "tranduongminhdai/attention-based-bilstm-cnn-approach", "kernel_id": "50015744"}, {"ref": "bhargavparabml/hatespeech", "kernel_id": "50054105"}, {"ref": "styreep/bidirectional-lstm-keras", "kernel_id": "51526722"}, {"ref": "fengliu123/notebook675b4fa964", "kernel_id": "51601673"}, {"ref": "adeliaj/bert-tensorflow-2-huggingface-transformers", "kernel_id": "52970711"}, {"ref": "jxlkeiorta/bert-tensor", "kernel_id": "52850990"}, {"ref": "huynhminhphuoc/toxic-detection-eda", "kernel_id": "53148703"}, {"ref": "diankusumaaa/toxiccommentfiltering-rm", "kernel_id": "53372216"}, {"ref": "subhiarjaria09/toxic-comment-classification", "kernel_id": "54551505"}, {"ref": "shadesh/toxic-comment-tf-idf-and-multi-ml-algorithm", "kernel_id": "54260212"}, {"ref": "shadesh/toxic-comment-classification-challenge-ml", "kernel_id": "54077229"}, {"ref": "drkaggle22/toxic-comments-classification-tf-idf-nltk", "kernel_id": "54847062"}, {"ref": "pathankhadhar/new-implication-lr-svm-nb", "kernel_id": "54901825"}, {"ref": "uatemycookie/nlp-project", "kernel_id": "54926178"}, {"ref": "thanh309/thanh309-toxic-comment-classification-challenge", "kernel_id": "54398637"}, {"ref": "liberatemi/tf-idf-on-svc-toxic-comment-detection", "kernel_id": "55807716"}, {"ref": "sergeypolivin/toxicity-clf", "kernel_id": "56845273"}, {"ref": "viveksomvanshi/multilable-classification-ann-ipynb", "kernel_id": "56249122"}, {"ref": "trandong2932002/preprocessing-normalize-icons-tags", "kernel_id": "56536352"}, {"ref": "muhammadelaasar/for-beginners-tackling-toxic-using-keras", "kernel_id": "56774558"}, {"ref": "drkaggle22/toxic-comments-classification-sent-transformers", "kernel_id": "56763197"}, {"ref": "drkaggle22/train-embeddigs", "kernel_id": "56839294"}, {"ref": "drkaggle22/test-embedding", "kernel_id": "56849619"}, {"ref": "nikolaidjenontin/toxic-comment-classification", "kernel_id": "56318464"}, {"ref": "caothuan/toxic-comments-classification-word2vec", "kernel_id": "56241069"}, {"ref": "viveksomvanshi/multilable-classification-bert-ipynb", "kernel_id": "57186988"}, {"ref": "viveksomvanshi/multi-label-text-classification-with-tensorflow", "kernel_id": "57339335"}, {"ref": "rthendral/22f2001643", "kernel_id": "57913599"}, {"ref": "oleksiivalitov/toxic-comments-rnn", "kernel_id": "57852600"}, {"ref": "drkaggle22/solution-using-toxic-comment-embeddings", "kernel_id": "57017308"}, {"ref": "vinhsokaggle/eda-for-toxic-cmt-classification", "kernel_id": "57557564"}, {"ref": "mahmoudelkarargy/toxiccommentclassification", "kernel_id": "58590849"}, {"ref": "vinayplusj/wikipedia-comment-classification-ensemble", "kernel_id": "58858979"}, {"ref": "timofeyyyyyy/simplernn-for-text-classification", "kernel_id": "58985505"}, {"ref": "andreinicolaescu/notebook472dcafad6", "kernel_id": "58513180"}, {"ref": "thanh309/test-123", "kernel_id": "58000585"}, {"ref": "timofeyyyyyy/lstm-text-classification", "kernel_id": "59010068"}, {"ref": "member09/toxiccommentclassifierbert", "kernel_id": "60851049"}, {"ref": "harshithvarma007/toxic-comment-detection-98-1", "kernel_id": "60015398"}, {"ref": "aashish31476/96-4-l2-logisticregression-classifierchain-tfidf", "kernel_id": "60585755"}, {"ref": "wrebelz/haillstm", "kernel_id": "60975791"}, {"ref": "shivamkumara/search-shield", "kernel_id": "60785178"}, {"ref": "osamaabobakr/toxic-comments-classification-98", "kernel_id": "61140564"}, {"ref": "osamaabobakr/ml-dl-96", "kernel_id": "61139037"}, {"ref": "neelwagh/toxic-comment-nma-dl", "kernel_id": "61937021"}, {"ref": "slavikpanasiuk/hm-ml-9", "kernel_id": "61214209"}, {"ref": "alexandrarutenberg/toxic-comments-classification", "kernel_id": "62696169"}, {"ref": "abuchionwuegbusi/toxic-comment-detection-two-datasets-ml", "kernel_id": "62031191"}, {"ref": "cardata/toxic-content-classifier-challenge", "kernel_id": "62506426"}, {"ref": "adhul000/toxic-comment-classification-96", "kernel_id": "62380659"}, {"ref": "zeroiq/toxic-comment-classification", "kernel_id": "63489543"}, {"ref": "manjitbaishya001/toxic-comment-detection-acc-1-0", "kernel_id": "64746492"}, {"ref": "smshihab3999/notebook3918d25d39", "kernel_id": "64515359"}, {"ref": "anish2002/text-classification-jigsaw", "kernel_id": "66296518"}, {"ref": "antontur/jtcc-multilabel-bert-pytorch-6e29bc", "kernel_id": "66650004"}, {"ref": "midamidaa/gemma-sprint-toxicity-gauge", "kernel_id": "66880873"}, {"ref": "dyotak/nlp-project", "kernel_id": "67380005"}, {"ref": "shivanshhingve/toxic-comment-classifier-with-cnn-and-rnn", "kernel_id": "67386988"}, {"ref": "jirayusmoolsart/notebook808c50c1a0", "kernel_id": "67371208"}, {"ref": "draconian10/sentiment-analysis-using-bert-model", "kernel_id": "68864702"}, {"ref": "abhijeetveeraboina/toxic-comment-classification", "kernel_id": "68456014"}, {"ref": "saharnazyaghoobpoor/toxic-comment-classification-challenge", "kernel_id": "68854504"}, {"ref": "ishanpatelml/notebookf73b87992f", "kernel_id": "68694445"}, {"ref": "huynhanhhuyk17ct/toxic-comments-dataset", "kernel_id": "68149162"}, {"ref": "tunguz/toxic-autotrain-severe-toxic", "kernel_id": "69588473"}, {"ref": "tunguz/toxic-autotrain-toxic", "kernel_id": "69342782"}, {"ref": "abhijeetveeraboina/toxic-comment-classification-challenge", "kernel_id": "69598097"}, {"ref": "bimaaryadinata/pytorch-explicit", "kernel_id": "69556012"}, {"ref": "bimaaryadinata/lstm-explicit-update-bert", "kernel_id": "69556338"}, {"ref": "nguyenquangduyqp2262/ai-music", "kernel_id": "69054987"}, {"ref": "musawerhussain/abusive-language-detection", "kernel_id": "69637114"}, {"ref": "alperugurca/toxic-comment-classification-challenge", "kernel_id": "69415978"}, {"ref": "zyh1104/002-toxic-comment-classification-challenge", "kernel_id": "70835645"}, {"ref": "eeetteee/toxic-comment-classification", "kernel_id": "71885332"}, {"ref": "project178/toxic-comment-challenge-project178", "kernel_id": "71658404"}, {"ref": "systemroomprint16/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "72297143"}, {"ref": "kirillbratsun/nir-mifi", "kernel_id": "73394171"}, {"ref": "nayubin/ml-toxic-comment-classification-challenge", "kernel_id": "73455571"}, {"ref": "nikolayspsov/toxic-comment-clasification-by-nikolay-spasov", "kernel_id": "73772335"}, {"ref": "imjh99/toxic-comment", "kernel_id": "73573723"}, {"ref": "yeonri0927/notebook88800837f3", "kernel_id": "73624452"}, {"ref": "techn0man1ac/toxiccommentclassificationsystem", "kernel_id": "74000605"}, {"ref": "ebrahimsaad/lstm-bilstm-glove-stacked-bilstm-0-978-roc-auc", "kernel_id": "75098191"}, {"ref": "mirnasherif/binary-hatebert", "kernel_id": "75450464"}, {"ref": "mkubina/hate-comments-detection-and-classification", "kernel_id": "75157739"}, {"ref": "mustafacivici/basicrnn", "kernel_id": "76395762"}, {"ref": "saisatvikh/toxic-comment-classification", "kernel_id": "76687308"}, {"ref": "annaplugn/plygun-anna-kursachpipline", "kernel_id": "77732136"}, {"ref": "pokrovchan/kaggle-nlp", "kernel_id": "78635064"}, {"ref": "mattroibecon/multilabel", "kernel_id": "78302264"}, {"ref": "kienmaitrung/datacrawlingtesting", "kernel_id": "78337399"}, {"ref": "mdkhairulalammunna/toxic-comment-classification-using-bert", "kernel_id": "80737450"}, {"ref": "njali123/promptguardrail", "kernel_id": "80283443"}, {"ref": "kayrahanozcan/toxic-comment-classification-using-transformer-mod", "kernel_id": "80621905"}, {"ref": "selinspark/toxic-comment-classification-using-transformer-m", "kernel_id": "80723874"}, {"ref": "dushyanthsaichowdary/notebook3cb03a499b", "kernel_id": "81079322"}, {"ref": "alexlensu/notebook079b41e3d7", "kernel_id": "81221991"}, {"ref": "mebadwi/toxicchat", "kernel_id": "81396541"}, {"ref": "fareselfouly/fares-kareem-fouly-nlp", "kernel_id": "82619022"}, {"ref": "sagilforever/jigsaw-rate-severity-of-toxic-comments", "kernel_id": "82146857"}, {"ref": "sagilforever/toxic-comment-classification", "kernel_id": "82099638"}, {"ref": "sagilforever/toxic-comment-classification2", "kernel_id": "82227601"}, {"ref": "alex56mod/nlp-jigsaw-toxicity-debra-v3-large-fin", "kernel_id": "83154645"}, {"ref": "nanuradhar/distilbert", "kernel_id": "83804316"}, {"ref": "phamdinhminhson/notebooka951d691a2", "kernel_id": "83723449"}, {"ref": "turbosoggygary/notebookb81860f5f1", "kernel_id": "83702780"}, {"ref": "vaishnavikalkute/toxic-bert", "kernel_id": "84813119"}, {"ref": "manthanvarmas/lets-be-toxic", "kernel_id": "85784134"}, {"ref": "sohangundoju/toxic-comments", "kernel_id": "86555081"}, {"ref": "ahmedxhamada/cnn-vs-lstm", "kernel_id": "86490128"}, {"ref": "losif01/lore-accurate-toxicity-detector", "kernel_id": "86986217"}, {"ref": "iamvijay1/toxic-comment-detection-two-datasets-ml", "kernel_id": "86798386"}, {"ref": "alexandermaitken/toxic-comment-classification-challenge", "kernel_id": "86677929"}, {"ref": "sho1194/kaggle-doi", "kernel_id": "86386785"}, {"ref": "karin1112/notebookaf863be22b", "kernel_id": "86856866"}, {"ref": "hayatott/mytest", "kernel_id": "86349207"}, {"ref": "jazivxt/silence-of-the-sheeps-the-antisheple-puzzle", "kernel_id": "87815258"}, {"ref": "losif01/top1-toxicity-detector-using-transformers", "kernel_id": "87037182"}, {"ref": "dmitryvolovikov/toxic-comment-classification-challenge", "kernel_id": "87299421"}, {"ref": "maham9/toxic-comment-classification", "kernel_id": "87484107"}, {"ref": "youssefkaram222/toxic-comment-classification-using-bert", "kernel_id": "87497567"}, {"ref": "yuhiohgaki/notebook6d69314eba", "kernel_id": "87337652"}, {"ref": "sho1194/notebookfc743a0a8f", "kernel_id": "87837415"}, {"ref": "jundesu/notebook446ffbd06a", "kernel_id": "87336109"}, {"ref": "ssksuuri/notebook9b5bc8a7d3", "kernel_id": "87337595"}, {"ref": "karin1112/notebookad839e27cb", "kernel_id": "87336628"}, {"ref": "alemantillaai/alejojamc-toxic-comments", "kernel_id": "87084248"}, {"ref": "njuspy/toxic-comment-tokenizer-glove-gru", "kernel_id": "89453514"}, {"ref": "njuspy/toxic-comment-classification-challenge-1", "kernel_id": "89403157"}, {"ref": "zaheerdawar/comment-toxicity-model", "kernel_id": "89060017"}, {"ref": "yarome/semlc-1", "kernel_id": "91199898"}, {"ref": "nilanjansaha123/98-submission-toxic-comment-model-analysis", "kernel_id": "91205907"}, {"ref": "havantho/toxic-comment", "kernel_id": "91878219"}, {"ref": "ogummaduabuchi/toxic-comment", "kernel_id": "92204878"}, {"ref": "milkman64/cnn-toxic", "kernel_id": "92489207"}, {"ref": "milkman64/toxic", "kernel_id": "92440495"}, {"ref": "milkman64/distilbert-toxic", "kernel_id": "92470415"}, {"ref": "nguyentrongnguyen04/toxic-comment-classification-multi-label-nlp", "kernel_id": "93480506"}, {"ref": "serhiikravchenko2009/toxic-comment-classification", "kernel_id": "93030218"}, {"ref": "elkhawaga/jigsaw-toxic-comment-classification", "kernel_id": "94371150"}, {"ref": "muhammedderric/nlp-course-level-1-beginner", "kernel_id": "94043819"}, {"ref": "nischalsinghrajput/final-project", "kernel_id": "94030518"}, {"ref": "datam0nstr/toxic-comment-classification", "kernel_id": "95177333"}, {"ref": "nguyentrongnguyenfpt/notebookf72e9a8114", "kernel_id": "96077377"}, {"ref": "eslamtarik/toxic-comment-classification-with-tf-idf-and-logis", "kernel_id": "96633663"}, {"ref": "edauski/miyajima02-lightgbm-tf-idf", "kernel_id": "98287902"}, {"ref": "toripee/toxic-torii-v1-tfidf", "kernel_id": "98263152"}, {"ref": "toripee/toxic-torii-v2-tfidf", "kernel_id": "98636590"}, {"ref": "yasutana444/toxic-tfidf-baseline-yt01", "kernel_id": "98268175"}, {"ref": "kazuhiroyogo/simple-sample-kazu4", "kernel_id": "98076571"}, {"ref": "kazuhiroyogo/simple-sample-kazu7", "kernel_id": "98430958"}, {"ref": "amnaalobaidli/text-classification", "kernel_id": "99986076"}, {"ref": "zainabali33/text-classification", "kernel_id": "100262172"}, {"ref": "jawdatshaat/text-classification", "kernel_id": "100122881"}, {"ref": "hannah52818/toxic-comment-not-working", "kernel_id": "100508600"}, {"ref": "xmohammadasimx/text-classification-challenge", "kernel_id": "100221426"}, {"ref": "serikbayarsen/toxic-comment-detection-96-38", "kernel_id": "100171538"}, {"ref": "ahmedyousef18/challenge", "kernel_id": "100887505"}, {"ref": "ahmadalbinali/text-classification-ahmadalbinali", "kernel_id": "100576609"}, {"ref": "ghanimalebrahim/text-classification-ghanim", "kernel_id": "100945433"}, {"ref": "kazuhiroyogo/simple-sample-kazu12", "kernel_id": "100885726"}, {"ref": "kazuhiroyogo/simple-sample-kazu9", "kernel_id": "100141709"}, {"ref": "mudassirsaleem1992/mudassir-sub", "kernel_id": "100998035"}, {"ref": "violetdynamo/toxic-comment-classifier", "kernel_id": "100922072"}, {"ref": "ahmadyousef2025/text-classification-v-1-0", "kernel_id": "100490801"}, {"ref": "ashenn/notebook2ba732e911", "kernel_id": "101800656"}, {"ref": "fahadjufairi/text-classification-assigment", "kernel_id": "101408463"}, {"ref": "noreldin/toxic-comment-classification-challenge", "kernel_id": "101292134"}, {"ref": "buthainahalobaidli/dseg660-assignment-7-text-classification", "kernel_id": "101897837"}, {"ref": "deepakbst01/deepakbst07-96-38", "kernel_id": "101529738"}, {"ref": "safios/dseg660-text-classification", "kernel_id": "101947036"}, {"ref": "quaidiqbal11/text-classification-assignmentquaid-iqbal210089904", "kernel_id": "101446470"}, {"ref": "souhadebarhim/souhad-toxic-comment-classification-challenge", "kernel_id": "101570275"}, {"ref": "nassera123/lastassignment", "kernel_id": "101706363"}, {"ref": "sajnashoukath/adl-assign-text-classfication", "kernel_id": "101457327"}, {"ref": "sajnashoukath/adl3-assign-text", "kernel_id": "101686817"}, {"ref": "sajnashoukath/adl2-assignment-text-class2", "kernel_id": "101573380"}, {"ref": "yehyaalkuwari/notebook041143ebd9", "kernel_id": "101130491"}, {"ref": "toripee/toxic-torii-v3-tfidf", "kernel_id": "101621375"}, {"ref": "rashidasalobaidli/text-classification-final", "kernel_id": "101581127"}, {"ref": "busalehalmalik/notebooka81f0bd6df", "kernel_id": "101735658"}, {"ref": "mazenabualaz/toxic-fine-tune-brit", "kernel_id": "102127875"}, {"ref": "rin0823/toxic-comment-classifier-machine-learning", "kernel_id": "102137938"}, {"ref": "rin0823/toxic-comment-classifier-deep-learning", "kernel_id": "102854769"}, {"ref": "rin0823/toxic-comment-classifier-bigru-and-roberta", "kernel_id": "102964525"}, {"ref": "lynabe/text-classification", "kernel_id": "102178952"}, {"ref": "mohamadbahri/notebooka4c5adcac3", "kernel_id": "102094340"}, {"ref": "buthainahalobaidli/dseg660-assignment-7-text-classification-1", "kernel_id": "102209560"}, {"ref": "jawdatshaat1234567/text-classification", "kernel_id": "102151849"}, {"ref": "reesefinch/toxic-comment", "kernel_id": "102842785"}, {"ref": "neamfares/textclassification-neamfares", "kernel_id": "102095453"}, {"ref": "hassanalsahli/notebookcbce696fba", "kernel_id": "102070480"}, {"ref": "toripee/toxic-torii-v5-distilbert", "kernel_id": "102191639"}, {"ref": "toripee/toxic-torii-v7-featureengineering2", "kernel_id": "102422045"}, {"ref": "toripee/toxic-torii-v8-gru", "kernel_id": "102425043"}, {"ref": "toripee/toxic-torii-v10-emsemble", "kernel_id": "102458429"}, {"ref": "toripee/toxic-torii-v9-lstm", "kernel_id": "102439633"}, {"ref": "kazuhiroyogo/sample-kazuhiro2", "kernel_id": "102506417"}, {"ref": "muraamabdelghani/toxic-comment-classification-dlassignment", "kernel_id": "103282443"}, {"ref": "edauski/nopebook", "kernel_id": "103694047"}, {"ref": "edauski/lightgbm-tf-idf-ver", "kernel_id": "103693313"}, {"ref": "edauski/edauski-lstmtest02", "kernel_id": "103922125"}, {"ref": "robifr/notebooke00ba45380", "kernel_id": "103865577"}, {"ref": "aaryanpathak1729/toxic-comment-identification", "kernel_id": "103647237"}, {"ref": "edauski/glove-fasttext-embedding-bilstm-attention", "kernel_id": "104040912"}, {"ref": "amandammoraes/desafio-toxic-comment", "kernel_id": "106906190"}, {"ref": "rogerdias/roger-quinelato-ciia-2026", "kernel_id": "106805409"}, {"ref": "taseensadatteam/eda-step-wise-preprocess-and-lstm-classifier", "kernel_id": "106988080"}, {"ref": "ikramoialili/notebook4ba66695e8", "kernel_id": "106659459"}, {"ref": "enzoportella/submission-1-enzo-portella", "kernel_id": "107946982"}, {"ref": "hussienwaleed/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "107156956"}, {"ref": "gustavrod/toxic-comment-classification-distilbert-v9", "kernel_id": "107053935"}, {"ref": "taseensadatteam/toxic-comment-classification-challenge", "kernel_id": "107155219"}, {"ref": "henricocosta/niaundf-challenge-ai-safety-guardrails-system", "kernel_id": "107557908"}, {"ref": "joovictorenomoto/toxic-comment-classification-bi-gru-keras", "kernel_id": "107137493"}, {"ref": "gustjose/toxicity-analysis-eda-to-transformers", "kernel_id": "107375059"}, {"ref": "ogabriellops/notebook15cdcd9050", "kernel_id": "107605869"}, {"ref": "omniamsalem/comments-classification", "kernel_id": "108527563"}, {"ref": "figuerass/submiss-o-niaundf-regress-o-log-stica", "kernel_id": "108282917"}, {"ref": "thiagofariasl/submission-1-thiago-farias", "kernel_id": "108005487"}, {"ref": "igorrocha93/submission-igor-rocha-niaundf", "kernel_id": "108416233"}, {"ref": "brunorosabarbosa/niaundf-bruno-barbosa", "kernel_id": "108355685"}, {"ref": "joovictorenomoto/toxic-comment-classification-joao-enomoto", "kernel_id": "108422468"}, {"ref": "joovictorenomoto/notebook-toxicclassification", "kernel_id": "108426765"}, {"ref": "olvr4exe/notebook99sub", "kernel_id": "108344777"}, {"ref": "lrisreis/notebook782ddb1d19", "kernel_id": "108344066"}, {"ref": "acadluan/niaundf-luan-sousa", "kernel_id": "108364359"}, {"ref": "python4sp/2-toxic-comments-classification", "kernel_id": "110761981"}, {"ref": "harleenbhullar/notebook959eed3fa3", "kernel_id": "110893724"}, {"ref": "cerxxxx/toxic-comment-classificaion-challenge", "kernel_id": "110316688"}, {"ref": "jalesummak/toxic-comment-classification-using-nlp", "kernel_id": "111690219"}, {"ref": "kemaldemirba/pro-toxic-nlp-engine-auc-0-992", "kernel_id": "111838469"}, {"ref": "sudhikshavalluru/notebookc87fedac39", "kernel_id": "113343152"}, {"ref": "jitendermutreja/bert-toxic", "kernel_id": "113150233"}, {"ref": "adarsh1077/toxic-comment-classification-nlp-baseline", "kernel_id": "114288689"}, {"ref": "hassaan2580/toxic-comment-detection-with-bert", "kernel_id": "114680667"}, {"ref": "goosss/toxic-comment-classification", "kernel_id": "115986625"}, {"ref": "arailymakhmet/arailym-akhmet-nlp-midterm", "kernel_id": "115255605"}, {"ref": "zhassulankarimzhan/zhassulan-karimzhan-nlp-midterm", "kernel_id": "115204883"}, {"ref": "rizasdu/alisher-adlet-nlp-midterm", "kernel_id": "115244715"}, {"ref": "adilzhanlesbek/toxic-comment-classification-adilzhan", "kernel_id": "115235738"}, {"ref": "azamatmaksatuly/azamat-maksatuly-nlp-midterm", "kernel_id": "115226180"}, {"ref": "zhamshidyermekbay/zhamshid-yermekbay-nlp-midterm", "kernel_id": "115266209"}, {"ref": "aluakaiyrbek/alua-kaiyrbek-nlp-midterm", "kernel_id": "115243364"}, {"ref": "lobotomura/ungarbayeva-laura-nlp-midterm", "kernel_id": "115246221"}, {"ref": "daniyaryessimov/daniyar-yessimov-nlp-midterm", "kernel_id": "115267437"}, {"ref": "baglandaulet/daulet-baglan-230107091-nlp-midterm", "kernel_id": "115229122"}, {"ref": "aizereubaidulla/230107099", "kernel_id": "115214810"}, {"ref": "diasmaratbekov/dias-maratbekuly-nlp-midterm", "kernel_id": "115216873"}, {"ref": "sanzharaltynbay/altynbay-sanzhar-nlp-midterm", "kernel_id": "115265419"}, {"ref": "mbahadiryildiz/muhammetbahadir-yildiz-nlp-midterm", "kernel_id": "115203069"}, {"ref": "alanzhumalin/alan-zhumalin-nlp-midterm-prev", "kernel_id": "115204187"}, {"ref": "daurenbaimurza/dauren-baimurza-nlp-midterm", "kernel_id": "115259999"}, {"ref": "daulettemirtay/daulet-temirtay-midterm-nlp", "kernel_id": "115205227"}, {"ref": "samratkakimgali/samrat-kakimgali-nlp-midterm", "kernel_id": "115220654"}, {"ref": "danaashen/notebook29560a3b7a", "kernel_id": "115240946"}, {"ref": "assylkhanaldanayev/aldanayev-assylkhan-nlp-midterm", "kernel_id": "115267559"}, {"ref": "hendnody/ds-project", "kernel_id": "117832088"}, {"ref": "maythepd/toxic-ml", "kernel_id": "117752309"}, {"ref": "dan4ik27/daniyar-dyussenov-nlp-final", "kernel_id": "118846842"}, {"ref": "mohamedyounis15/comments-classification-using-distilbert", "kernel_id": "118082394"}, {"ref": "maksattungushbay/maksat-tungushbay-nlp-final", "kernel_id": "118677228"}, {"ref": "arailymakhmet/arailym-akhmet-nlp-final", "kernel_id": "118838459"}, {"ref": "zhassulankarimzhan/zhassulan-karimzhan-nlp-finalexam", "kernel_id": "118597977"}, {"ref": "rizasdu/alisher-adlet-nlp-final-project", "kernel_id": "118798675"}, {"ref": "yeskendirkaliyev021/yeskendir-kaliyev-nlp-final", "kernel_id": "118822991"}, {"ref": "azamatmaksatuly/azamat-maksatuly-nlp-final", "kernel_id": "118812048"}, {"ref": "zhamshidyermekbay/zhamshid-yermekbay-nlp-final", "kernel_id": "118842447"}, {"ref": "aluakaiyrbek/alua-kaiyrbek-nlp-final", "kernel_id": "118901290"}, {"ref": "lobotomura/laura-ungarbayeva-nlp-final", "kernel_id": "118905592"}, {"ref": "aizereubaidulla/ubaidulla-aizere-nlp-final-project", "kernel_id": "118491261"}, {"ref": "ohuykhi/toxic-comment-classification", "kernel_id": "118816997"}, {"ref": "yelnurmukanov/nlp-final", "kernel_id": "118829883"}, {"ref": "diasmaratbekov/dias-maratbekuly-nlp-finall", "kernel_id": "118903973"}, {"ref": "diasmaratbekov/notebookff2a7d2012", "kernel_id": "118827830"}, {"ref": "diasmaratbekov/dias-maratbekuly-nlp-final", "kernel_id": "118848899"}, {"ref": "sanzharaltynbay/altynbay-sanzhar-nlp-final", "kernel_id": "118831415"}, {"ref": "alikhanlazarev/lazarev-alikhan-nlp-finalexam", "kernel_id": "118729061"}, {"ref": "mbahadiryildiz/nlp-final-muhammet-bahadir-y-ld-z", "kernel_id": "118809586"}, {"ref": "alanzhumalin/alan-zhumalin-nlp-midterm", "kernel_id": "118886750"}, {"ref": "daurenbaimurza/dauren-baimurza-nlp-final", "kernel_id": "118947466"}, {"ref": "daulettemirtay/temirtay-daulet-nlp-midterm", "kernel_id": "118595922"}, {"ref": "yernatturarbekov/turarbekov-yernat-nlp-final-exam", "kernel_id": "118891446"}, {"ref": "gulden03/notebook0c410b0404", "kernel_id": "120677317"}, {"ref": "smritisharma29/notebookfa44b6a0db", "kernel_id": "120643172"}, {"ref": "joudjouihri/joud-jouihri-60811", "kernel_id": "121976841"}, {"ref": "nardeenezzzarif/toxic-comment-classification", "kernel_id": "126290348"}, {"ref": "fahdahmad1911/toxicity-classification", "kernel_id": "126095963"}, {"ref": "daoviet/toxic-comment-classifier", "kernel_id": "126661289"}, {"ref": "saida889/atam-fet-notebook2b0707d227", "kernel_id": "129801524"}, {"ref": "tahaminatania/toxic-comment-classification-challenge", "kernel_id": "131829572"}, {"ref": "shadab80k/ai-safety-guardrails-monitoring", "kernel_id": "132739514"}, {"ref": "alifazelniya/toxic-comment-lstm", "kernel_id": "133965081"}, {"ref": "revananthony/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "135695851"}]}
{"competition_id": "8078", "kernels": [{"ref": "inversion/i-have-no-clue-what-i-m-doing-benchmark", "kernel_id": "501263"}, {"ref": "kmader/transfer-learning-with-inceptionv3", "kernel_id": "595738"}, {"ref": "kmader/building-a-model-on-the-power-spectral-density", "kernel_id": "549913"}, {"ref": "kmader/fourier-analysis-for-spatial-resolution-estimates", "kernel_id": "549722"}, {"ref": "kmader/dnn-on-fft-for-camera-detection", "kernel_id": "534209"}, {"ref": "kmader/cnn-with-gap-for-camera-detection", "kernel_id": "533703"}, {"ref": "CVxTz/keras-simple-cnn-starter", "kernel_id": "505052"}, {"ref": "merryhunter/very-simple-pca-baseline", "kernel_id": "504560"}, {"ref": "sumitjha19/image-visualization", "kernel_id": "504819"}, {"ref": "aakashnain/camera-check", "kernel_id": "504178"}, {"ref": "jihyeseo/image-which-camera-classify", "kernel_id": "958617"}, {"ref": "rishabhiitbhu/keras-cnn-starter", "kernel_id": "506010"}, {"ref": "rupeshwadibhasme/transfer-learning-with-vgg16", "kernel_id": "570175"}, {"ref": "zeemeen/i-have-a-clue-what-i-am-doing-noise-patterns", "kernel_id": "560761"}, {"ref": "codeblooded/basic-operations", "kernel_id": "513993"}, {"ref": "igormunizims/pre-processing-for-data-augmentation", "kernel_id": "530728"}, {"ref": "golubev/simple-example-mcf-balance-improve-0-976-to-0-984", "kernel_id": "615026"}, {"ref": "toshif/ieee-image-manipulation-kernel", "kernel_id": "540642"}, {"ref": "rfsaraujobr/logistic-regression-lbp", "kernel_id": "874218"}, {"ref": "gtejwani/logistic-regression-lbp-confusion-matrix", "kernel_id": "2179631"}, {"ref": "gtejwani/fork-of-algo-py-6cdb7a", "kernel_id": "3575634"}, {"ref": "sagarswami/notebookfb79f0f252", "kernel_id": "13571172"}, {"ref": "eduardoakira/camera-final", "kernel_id": "18405979"}, {"ref": "luannoleto/vers-o-final-camera-identify", "kernel_id": "18373596"}, {"ref": "ritika99a/densenet201", "kernel_id": "71460190"}, {"ref": "lelouchh/notebook62512c1316", "kernel_id": "81687296"}, {"ref": "fugdfadfdasfadsf/cameramodeldetection", "kernel_id": "81687010"}, {"ref": "rukmini08/fusion-model", "kernel_id": "83318719"}, {"ref": "arifzakaria126/cam-to-cam-style-transfer", "kernel_id": "87265402"}, {"ref": "pratap1016/notebooke620ebd641", "kernel_id": "94959005"}, {"ref": "pratap1016/notebook6c9f0ae7ec", "kernel_id": "95028722"}, {"ref": "pratap1016/resnet", "kernel_id": "95048733"}]}
{"competition_id": "8086", "kernels": []}
{"competition_id": "8089", "kernels": [{"ref": "wcukierski/example-metric-implementation", "kernel_id": "541777"}, {"ref": "ahassaine/pure-image-processing-lb-0-274", "kernel_id": "563515"}, {"ref": "kmader/optimizing-ali-s-segmentation", "kernel_id": "574768"}, {"ref": "kmader/optimizing-computer-vision-segmentation", "kernel_id": "573457"}, {"ref": "kmader/keras-linknet", "kernel_id": "595418"}, {"ref": "kmader/keras-rcnn-based-overview-wip", "kernel_id": "588019"}, {"ref": "kmader/normalizing-brightfield-stained-and-fluorescence", "kernel_id": "543578"}, {"ref": "kmader/nuclei-overview-to-submission", "kernel_id": "542047"}, {"ref": "kmader/dsb2018-visualizing-u-net-with-conx", "kernel_id": "813080"}, {"ref": "panchacookie/notebookfb3bcbf35c", "kernel_id": "586434"}, {"ref": "sfhousewife/keras-u-net-starter-lb-0-277", "kernel_id": "702343"}, {"ref": "etheleon/exploratory-analysis-image-stats", "kernel_id": "542082"}, {"ref": "devinanzelmo/looking-at-fpn", "kernel_id": "575835"}, {"ref": "jakubczakon/improve-the-dataset-with-non-nuclei-images", "kernel_id": "816372"}, {"ref": "jakubczakon/network-for-size-estimation-rescale", "kernel_id": "817060"}, {"ref": "jakubczakon/morphological-postprocessing-on-unet-lb-0-429", "kernel_id": "716486"}, {"ref": "psaadbye/keras-u-net-starter-lb-0-277", "kernel_id": "552504"}, {"ref": "bguberfain/naive-ellipsis-analysis", "kernel_id": "548346"}, {"ref": "nitinaggarwal008/teaching-notebook-for-total-imaging-newbies", "kernel_id": "757585"}, {"ref": "transwarp/combine-mask-and-label-mask-boundary", "kernel_id": "564316"}, {"ref": "keegil/keras-u-net-starter-lb-0-277", "kernel_id": "542039"}, {"ref": "voglinio/separating-nuclei-masks-using-convexity-defects", "kernel_id": "755150"}, {"ref": "voglinio/external-h-e-data-with-mask-annotations", "kernel_id": "731708"}, {"ref": "fabsta/nuclei-segmentation-tensorflow-u-net-0-327-027909", "kernel_id": "626342"}, {"ref": "ori226/data-augmentation-with-elastic-deformations", "kernel_id": "581925"}, {"ref": "tangchuanxin/keras-u-net-starter-lb-0-233", "kernel_id": "543635"}, {"ref": "vanausloos/from-keras-lb-0-262", "kernel_id": "636891"}, {"ref": "vanausloos/how-to-read-images-in-python", "kernel_id": "634070"}, {"ref": "amineteffal/helper-functions", "kernel_id": "722577"}, {"ref": "jerrythomas/issues-in-images", "kernel_id": "597801"}, {"ref": "jerrythomas/exploratory-analysis", "kernel_id": "589957"}, {"ref": "thomasjpfan/ap-metric", "kernel_id": "620393"}, {"ref": "tarunad/morphological-postprocessing-on-unet-lb-0-429", "kernel_id": "826308"}, {"ref": "stainsby/fast-tested-rle-and-input-routines", "kernel_id": "563325"}, {"ref": "drgilermo/kernel4bfa79d30f", "kernel_id": "702362"}, {"ref": "robertkag/rle-to-mask-converter", "kernel_id": "850669"}, {"ref": "cloudfall/pytorch-tutorials-on-dsb2018", "kernel_id": "578335"}, {"ref": "babajaguska/resize-images-nuclei-segmentation", "kernel_id": "700900"}, {"ref": "babajaguska/getting-to-know-the-data-nuclei-segmentation", "kernel_id": "695618"}, {"ref": "ramzes2/distribution-of-nuclei-sizes", "kernel_id": "547842"}, {"ref": "ramzes2/exploring-the-images-and-their-nuclei-mask-contous", "kernel_id": "542157"}, {"ref": "danieleewww/cpmp-s-unet-solution", "kernel_id": "881487"}, {"ref": "xin1q1q1211/testing-unet-latest-keras-and-tf", "kernel_id": "553606"}, {"ref": "sjoly123/kerasunet-281", "kernel_id": "547738"}, {"ref": "amitkumarjaiswal/image-segmentation", "kernel_id": "735962"}, {"ref": "jiaxinyu/2018dsb", "kernel_id": "884254"}, {"ref": "infernop/object-detection-techniques", "kernel_id": "723560"}, {"ref": "bostjanm/overlapping-objects-separation-method", "kernel_id": "670256"}, {"ref": "zavodrobotov/best-public-notebook-kernel", "kernel_id": "762692"}, {"ref": "rexhaif/morphological-postprocessing-on-unet-lb-0-429", "kernel_id": "817631"}, {"ref": "eggsinabasket/drawing-boxes", "kernel_id": "726133"}, {"ref": "leogan/deformable-covolutions-in-the-autoencoder", "kernel_id": "882085"}, {"ref": "jihyeseo/segmented-nuclei-images", "kernel_id": "958631"}, {"ref": "lzhang57/nuclei-masks-eda", "kernel_id": "542170"}, {"ref": "nhargan/defining-microscopy-type", "kernel_id": "555293"}, {"ref": "mosnoiion/u-net-vgg16-open-for-team-merge-lb-0-319", "kernel_id": "809322"}, {"ref": "pedrodiamel/vizualization-dataset-data-science-bowl", "kernel_id": "719861"}, {"ref": "mingruimingrui/moving-on-to-localization-patch-wise-neuclei-eda", "kernel_id": "624862"}, {"ref": "mauddib/data-science-bowl-tutorial-using-cnn-tensorflow", "kernel_id": "738963"}, {"ref": "jeremytjordan/exploration-of-u-net-architectures", "kernel_id": "795597"}, {"ref": "shiraz14/r-script-for-quick-easy-file-copying-transfer", "kernel_id": "850214"}, {"ref": "mpware/stage1-eda-microscope-image-types-clustering", "kernel_id": "575945"}, {"ref": "mpware/ensembling-on-instance-segmentation-lb-0-419", "kernel_id": "751175"}, {"ref": "gaborvecsei/basic-pure-computer-vision-segmentation-lb-0-229", "kernel_id": "542083"}, {"ref": "gaborvecsei/unsupervised-segmentation-with-type-separation", "kernel_id": "562448"}, {"ref": "thenickname/annotation-tool", "kernel_id": "852124"}, {"ref": "bonlime/train-test-image-mosaic", "kernel_id": "707285"}, {"ref": "stevessschen/notebook6e9b0fe522", "kernel_id": "242028"}, {"ref": "reddisanjeevkumar/fork-of-kernel-lb-0-3029", "kernel_id": "711319"}, {"ref": "reddisanjeevkumar/kernel-lb-0-3029", "kernel_id": "705026"}, {"ref": "davidretana/simple-data-science-bowl-2018-exploration", "kernel_id": "549179"}, {"ref": "aglotero/another-iou-metric", "kernel_id": "559603"}, {"ref": "vijaybj/basic-u-net-using-tensorflow", "kernel_id": "549434"}, {"ref": "vijaybj/yolo-tensorflow-2-from-scratch", "kernel_id": "778287"}, {"ref": "jruizvar/otsu-thresholding-segmentation", "kernel_id": "579005"}, {"ref": "takuok/keras-generator-starter-lb-0-326", "kernel_id": "548707"}, {"ref": "grybeck/keras-u-net-starter-lb-0-277", "kernel_id": "555244"}, {"ref": "matthewmasters/flag-masks-with-no-area", "kernel_id": "663382"}, {"ref": "zhujf553/end2end-stage1-score-computer", "kernel_id": "874196"}, {"ref": "pudae81/data-visualization-and-analysis", "kernel_id": "546920"}, {"ref": "asindico/bowl-of-nuclei", "kernel_id": "554349"}, {"ref": "jaggaj/exploratory-notebook-with-thresholding", "kernel_id": "629860"}, {"ref": "mviterson/segmentation-using-r-keras-u-net-lb-0-294", "kernel_id": "727857"}, {"ref": "vannak/uniform-downsampling-with-keras", "kernel_id": "822082"}, {"ref": "wt2ding/keras-u-net-starter-lb-0-277", "kernel_id": "714517"}, {"ref": "satoshiterasaki/separate-object-may-your-lb-0-02", "kernel_id": "736642"}, {"ref": "shenmbsw/data-augmentation-and-tensorflow-u-net", "kernel_id": "545675"}, {"ref": "akshayt19nayak/getting-started-image-processing-basics", "kernel_id": "661851"}, {"ref": "ponchon/mask-aggregator-and-directory-processor", "kernel_id": "543486"}, {"ref": "killthekitten/assemble-mosaics", "kernel_id": "719205"}, {"ref": "osciiart/cv-score-calculation-takes-5-min-in-kernel", "kernel_id": "631462"}, {"ref": "byrachonok/find-the-nuclei-in-divergent-medical-images", "kernel_id": "543879"}, {"ref": "jackvial/exploratory-data-analysis-dsb-2018", "kernel_id": "684180"}, {"ref": "pliptor/grouping-by-color-and-difficulty-with-k-means", "kernel_id": "735571"}, {"ref": "nikhilroxtomar/nuclei-overview-to-submission", "kernel_id": "762788"}, {"ref": "ilyamich/creating-unified-mask-with-borders-for-train", "kernel_id": "741148"}, {"ref": "vaslav/keras-u-net-segmenting-nuclei", "kernel_id": "568512"}, {"ref": "enerrio/data-exploration-distribution-of-image-sizes", "kernel_id": "579113"}, {"ref": "ravivadapalli/exploring-the-images-and-their-nuclei-masks", "kernel_id": "541987"}, {"ref": "appsyoon/keras-u-net-exploration-notebook", "kernel_id": "813290"}, {"ref": "devinshanahan/nuclei-data-visualization", "kernel_id": "553751"}, {"ref": "ainilaha/data-exploratory-analysis-in-r", "kernel_id": "738876"}, {"ref": "tejasvedagiri/help-me-i-dont-know-how-make-cnn-for-this", "kernel_id": "550237"}, {"ref": "mrtzmilani/snmf-stain-seperation", "kernel_id": "713825"}, {"ref": "c0conuts/u-net-data-augmentation-lb-0-336", "kernel_id": "584704"}, {"ref": "c0conuts/unet-imagedatagenerator-lb-0-336", "kernel_id": "584888"}, {"ref": "stkbailey/step-by-step-explanation-of-scoring-metric", "kernel_id": "744563"}, {"ref": "stkbailey/functions-for-plotting-mask-overlays", "kernel_id": "542554"}, {"ref": "stkbailey/teaching-notebook-for-total-imaging-newbies", "kernel_id": "578486"}, {"ref": "bluejay9676/vanila-u-net", "kernel_id": "834364"}, {"ref": "iitrsamrat/patch-data-generator-from-original-img", "kernel_id": "809713"}, {"ref": "iitrsamrat/unet-based-optimized-model-lb-347", "kernel_id": "766615"}, {"ref": "aviwolfson/adding-augmentation-to-keras-u-net-starter", "kernel_id": "581146"}, {"ref": "aviwolfson/kernel8b99932b88", "kernel_id": "584220"}, {"ref": "coni57/multi-images-u-net", "kernel_id": "589506"}, {"ref": "maffydub/nuclei-visualization", "kernel_id": "592219"}, {"ref": "miklgr500/data-analysis", "kernel_id": "700149"}, {"ref": "raoulma/nuclei-dsb-2018-tensorflow-u-net-score-0-352", "kernel_id": "562100"}, {"ref": "tdelforge/final-sub", "kernel_id": "743111"}, {"ref": "arpandhatt/data-augmenter", "kernel_id": "545471"}, {"ref": "paultimothymooney/identification-and-segmentation-of-nuclei-in-cells", "kernel_id": "552640"}, {"ref": "javidimail/nuclei-detection-with-opencv", "kernel_id": "544133"}, {"ref": "ishootlaser/scoring-metric-for-stage-1-prediction", "kernel_id": "857889"}, {"ref": "gattacacat/read-and-display-images", "kernel_id": "565491"}, {"ref": "ryan211314/an-knn-classification-to-boost-u-net-lb", "kernel_id": "738890"}, {"ref": "temibabs/boundary-finding", "kernel_id": "593757"}, {"ref": "piumallick/nuclei-overview-exploratory-analysis", "kernel_id": "656313"}, {"ref": "branislav1991/converting-tnbc-external-data-to-dsb2018-format", "kernel_id": "832498"}, {"ref": "uscyiwei/dnn-image-recognization", "kernel_id": "551554"}, {"ref": "uscyiwei/implement-ai-to-improve-health-industry", "kernel_id": "548817"}, {"ref": "uscyiwei/u-net-cnn", "kernel_id": "571739"}, {"ref": "piotrczapla/tensorflow-u-net-starter-lb-0-34", "kernel_id": "702587"}, {"ref": "jack55/cyclegan-test-set-to-training-set", "kernel_id": "846538"}, {"ref": "carloskl12/traditional-approach", "kernel_id": "727456"}, {"ref": "carloskl12/ajuste-y-umbralizaci-n-dsb-2018", "kernel_id": "948881"}, {"ref": "gremlin97/nucleus-seperation-using-watershed-algorithm", "kernel_id": "869862"}, {"ref": "glenslade/alternative-metrics-kernel", "kernel_id": "576099"}, {"ref": "vishalse/vanilla-clustering-stage2-acc-38", "kernel_id": "905135"}, {"ref": "weiji14/blank-keras-model-template", "kernel_id": "569157"}, {"ref": "weiji14/yet-another-keras-u-net-data-augmentation", "kernel_id": "580032"}, {"ref": "thekevinscott/experimenting-with-image-preparation-techniques", "kernel_id": "668658"}, {"ref": "haydenliu17/keras-u-net-starter-lb-0-277", "kernel_id": "593428"}, {"ref": "dheenorao/keras-u-net-starter-lb-0-277-5dd39e-dheenov", "kernel_id": "809436"}, {"ref": "msl23518/visualize-the-stage1-test-solution", "kernel_id": "850228"}, {"ref": "kjregan120/image-pre-processing", "kernel_id": "723057"}, {"ref": "nirofa95/basic-thresholding-and-morphological-approach", "kernel_id": "830897"}, {"ref": "abdulkarimx2/keras-u-net-starter-lb-0-277", "kernel_id": "732781"}, {"ref": "bmusclow/keras-u-net-starter-lb-0-277", "kernel_id": "788831"}, {"ref": "aroyburman/nuclei-dsb-2018-tensorflow-u-net-score-0-35-9d30fa", "kernel_id": "889957"}, {"ref": "qz9494/keras-u-net-starter-lb-0-277", "kernel_id": "777789"}, {"ref": "adrian1acoran/fork-of-adrian-pineda-moreno", "kernel_id": "930805"}, {"ref": "dingli/keras-u-net-for-nuclei-segmentation", "kernel_id": "1196302"}, {"ref": "rohith007/kernel7fd1d4a99b", "kernel_id": "1051555"}, {"ref": "venkatramani/nuclei-detection-image-analysis", "kernel_id": "1547441"}, {"ref": "nikhilpandey360/keras-u-net-starter-lb-0-277-93ff3b", "kernel_id": "1260211"}, {"ref": "cedrickchee/total-beginner-tutorial-for-cell-imaging", "kernel_id": "1631144"}, {"ref": "ashukr/teaching-notebook-for-total-imaging-newbies-fork", "kernel_id": "1316315"}, {"ref": "digdig/tflearn-u-net-starter", "kernel_id": "1542031"}, {"ref": "gufranmirza/external-h-e-data-with-mask-annotations", "kernel_id": "1052795"}, {"ref": "gufranmirza/data-augmentation-and-tensorflow-u-net", "kernel_id": "1052802"}, {"ref": "ppjanka/background-extraction-by-simple-image-analysis", "kernel_id": "1589737"}, {"ref": "santoshbothe/teaching-notebook-for-total-imaging-newbies", "kernel_id": "1732699"}, {"ref": "minjielu/spot-nuclei-traditional-solution", "kernel_id": "1521036"}, {"ref": "dseth20/datasciencebowl-eda", "kernel_id": "1400496"}, {"ref": "chenmg04/u-net-for-image-segmentation", "kernel_id": "2729324"}, {"ref": "ryu0715/u-net-and-pyramid-net-for-global-feature", "kernel_id": "2967738"}, {"ref": "ankurshukla03/basic-u-net-using-tensorflow", "kernel_id": "2000932"}, {"ref": "jayantaroy/keras-u-net-for-nuclei-assignment", "kernel_id": "2263098"}, {"ref": "twhitehurst3/keras-u-net-semantic-segmentation", "kernel_id": "2896793"}, {"ref": "krishnareddy527/kernel-nuclei", "kernel_id": "2908809"}, {"ref": "yellowduck/keras-u-net-starter-lb-0-277-9696f8", "kernel_id": "3154883"}, {"ref": "valcoder/satmod2mod", "kernel_id": "3776534"}, {"ref": "advaitsave/tensorflow-2-nuclei-segmentation-unet", "kernel_id": "3554631"}, {"ref": "ayubquadri/my-learning-data-science-bowl", "kernel_id": "3029713"}, {"ref": "vbhattbh/unet-cellsegmentation-with-datagenerator", "kernel_id": "3738497"}, {"ref": "hsankesara/u-net-pytorch", "kernel_id": "3691606"}, {"ref": "vulnic/vlad-mrcnn", "kernel_id": "3608669"}, {"ref": "vulnic/vlad-mask-rcnn", "kernel_id": "3598811"}, {"ref": "xxc025/u-net", "kernel_id": "3725356"}, {"ref": "yashmaxnet/u-net-keras", "kernel_id": "4641054"}, {"ref": "sandhaya4u/fork-of-nuclei-overview-to-submission", "kernel_id": "4815396"}, {"ref": "saqib96mobin/image-segmentation-using-unet-in-tensorflow", "kernel_id": "4101566"}, {"ref": "saqib96mobin/segmentation-using-residual-unet-in-tensorflow", "kernel_id": "4120351"}, {"ref": "msripooja/semantic-segmentation-of-nuclei-images", "kernel_id": "4033807"}, {"ref": "sumanthmeenan/ds-bowl", "kernel_id": "5613952"}, {"ref": "sandhaya4u/rle-to-mask-converter", "kernel_id": "5660575"}, {"ref": "gosha207778/keras-u-net", "kernel_id": "5059539"}, {"ref": "sajaldeb25/2018-data-science-bowl-solved-by-resunet", "kernel_id": "6144727"}, {"ref": "hjkim3/teaching-notebook-for-total-imaging-newbies-200207", "kernel_id": "7889378"}, {"ref": "andriihura/imagesegmentation", "kernel_id": "7507840"}, {"ref": "lukasgajdosech/u-net-nuclei", "kernel_id": "8720882"}, {"ref": "arunmohan003/unet-starter-pytorch", "kernel_id": "8700640"}, {"ref": "poskok/u-net-example", "kernel_id": "9527918"}, {"ref": "sainathseelam/teaching-notebook-for-total-imaging-newbies", "kernel_id": "9489611"}, {"ref": "harry418/unet-family-with-keras", "kernel_id": "9677665"}, {"ref": "tjac718/semantic-segmentation-of-nuclei-pytorch", "kernel_id": "9561899"}, {"ref": "eduardopea/kernel486a57104c", "kernel_id": "9955819"}, {"ref": "jaidevd/weighted-loss-unets", "kernel_id": "10444919"}, {"ref": "pieraqua/kernel472c8ddf7d", "kernel_id": "10634932"}, {"ref": "pieraqua/hydra", "kernel_id": "10672602"}, {"ref": "carloscapellan/semantic-segmentation-tf-keras", "kernel_id": "10977847"}, {"ref": "bestofbests9/dsb-2018-dataset-generation", "kernel_id": "11315063"}, {"ref": "firqaaa/residual-unet-keras-implementation", "kernel_id": "11382433"}, {"ref": "rkuo2000/u-net-nucleus", "kernel_id": "12055615"}, {"ref": "godeep48/simple-unet-pytorch", "kernel_id": "12640677"}, {"ref": "akshat0007/nuclei-segmentation-using-u-net", "kernel_id": "12284502"}, {"ref": "omarsalahhemied/segmentation-cancer-cells-task", "kernel_id": "12665999"}, {"ref": "namylase/data-science-bowl-u-net", "kernel_id": "12971485"}, {"ref": "illiapokutsa/semantic-segmentation-model-with-u-net-tf", "kernel_id": "12377110"}, {"ref": "sikandarkhan9370/identification-and-segmentation-of-nuclei-in-cells", "kernel_id": "13157918"}, {"ref": "bryanb/image-segmentation-u-net", "kernel_id": "14776612"}, {"ref": "marwa96/u-net-segmentation", "kernel_id": "14188223"}, {"ref": "sinjoysaha/segmentation-with-u-net", "kernel_id": "15963837"}, {"ref": "smohamedghazali20/segmentation-of-clutterd-cells-pytorch", "kernel_id": "15251038"}, {"ref": "xiongzhna/u-net-for-nuclei-segmentation", "kernel_id": "15957814"}, {"ref": "espsiyam/u-net-image-nuclei-segmentation", "kernel_id": "16827247"}, {"ref": "marinameier/find-the-nuclei-in-divergent-medical-images", "kernel_id": "16114693"}, {"ref": "piotrtrawinski/2018-data-science-bowl", "kernel_id": "17746224"}, {"ref": "gurujaing/ds-bowl-2018", "kernel_id": "17689766"}, {"ref": "rahulsawhney/ghmta-comde", "kernel_id": "18543280"}, {"ref": "dicksonwu/hack3-nuclei-detection", "kernel_id": "18115803"}, {"ref": "karthikpulipati/notebook863a4a0611", "kernel_id": "18215496"}, {"ref": "d5423197/u-net-training", "kernel_id": "19629853"}, {"ref": "mayankrajpurohit/nuclei-segmentation-using-u-net-and-double-u-net", "kernel_id": "19264808"}, {"ref": "tunguz/unique-kaggle-users", "kernel_id": "20716426"}, {"ref": "shakshyathedetector/image-segmentation-using-u-net", "kernel_id": "20311084"}, {"ref": "minhhngchong/calculate-mean-and-std", "kernel_id": "21147605"}, {"ref": "alimohammedbakhiet/learning-image-segmentation", "kernel_id": "21277221"}, {"ref": "anilabhadatta/identification-and-segmentation-of-nuclei-in-cells", "kernel_id": "21378422"}, {"ref": "ramsegaurav/unet-for-image-segmentation", "kernel_id": "22436249"}, {"ref": "abhiswain/unet-pytorchlightning", "kernel_id": "23542051"}, {"ref": "godeep48/unet-with-residual-encoders", "kernel_id": "24335953"}, {"ref": "savindiwijenayaka/datasciencebowl2018", "kernel_id": "24087077"}, {"ref": "maxitype/6-u-net-custom-iou-beginner", "kernel_id": "24344658"}, {"ref": "minhhngchong/medical-image-segmentation-2", "kernel_id": "24755255"}, {"ref": "tejasvdante/medical-image-segmentation-2", "kernel_id": "25319699"}, {"ref": "mohamedmustafa/medical-image-segmentation-using-u-net-with-keras", "kernel_id": "25229281"}, {"ref": "songye123/ese577part2", "kernel_id": "26222094"}, {"ref": "muhammadishaque/unet-works", "kernel_id": "28325611"}, {"ref": "taufiqtusar/image-segmentation-u-net", "kernel_id": "28984730"}, {"ref": "masyitahabu/miniproject-4", "kernel_id": "29193267"}, {"ref": "songty151/unetdemo", "kernel_id": "29272197"}, {"ref": "mbadrismail/unet-datasciencebowl", "kernel_id": "29617287"}, {"ref": "aadyac/u-net-reimplementation-by-aadya-chinubhai", "kernel_id": "30958113"}, {"ref": "invhnd/u-net-practice", "kernel_id": "30119816"}, {"ref": "derrickmwiti/fully-convolutional-neural-network-fcn-model", "kernel_id": "32962852"}, {"ref": "helovict/nuclei-segmentation-unet-ipynb", "kernel_id": "32908106"}, {"ref": "derrickmwiti/u-net-image-segmentation-model", "kernel_id": "33393501"}, {"ref": "konantur/identification-and-segmentation-of-nuclei-in-cells", "kernel_id": "33624116"}, {"ref": "klmsathishkumar/automatic-nucleus-detection", "kernel_id": "33986700"}, {"ref": "ishandandekar/u-net-from-scratch-using-keras-and-tensorflow", "kernel_id": "33431587"}, {"ref": "kuttersn/u-net-task", "kernel_id": "33426956"}, {"ref": "valdesguefa/unettp", "kernel_id": "33029079"}, {"ref": "d2t9k10/notebookfa5d6d597c", "kernel_id": "33520663"}, {"ref": "piyushnagpal/unet-implementation", "kernel_id": "34800482"}, {"ref": "abhipshadash/unet-practice", "kernel_id": "34155092"}, {"ref": "aadyac/project-cv-ml", "kernel_id": "35100508"}, {"ref": "aadyac/comparision-of-activationsfns-img-segmentation", "kernel_id": "35943255"}, {"ref": "razinmkarimi/project-cv-ml", "kernel_id": "35966687"}, {"ref": "aadyac/fork-of-comparision-of-activationsfns-img-s-d09977", "kernel_id": "37255229"}, {"ref": "razinmkarimi/comparision-of-activationsfns-img-segmentation", "kernel_id": "37286341"}, {"ref": "wenweikuang/data-science-bowl-2018", "kernel_id": "37775505"}, {"ref": "pawankumargunjan/2018-data-science-bowl", "kernel_id": "38032783"}, {"ref": "aadyac/leakyrelugaussiannoise", "kernel_id": "39012083"}, {"ref": "rukaiyahasan/image-segmentation-u-net", "kernel_id": "39445137"}, {"ref": "asheniranga/hands-on-image-segmentation-with-pytorch", "kernel_id": "42941537"}, {"ref": "capecrusader27/unet-augmentation-segmentation-models", "kernel_id": "43150711"}, {"ref": "divyareddyrecharla/unet-2d", "kernel_id": "43991568"}, {"ref": "divyareddyrecharla/unet-augmentation-segmentation-models", "kernel_id": "44168875"}, {"ref": "rohitdileep/unet-tf", "kernel_id": "47768005"}, {"ref": "zsombormalatinszki/bioimage-informatics-project", "kernel_id": "47795062"}, {"ref": "nandaprasetia/2018-data-science-bowl-unet-clahe", "kernel_id": "47979965"}, {"ref": "soobysenpai/project-implementation", "kernel_id": "47816213"}, {"ref": "yasha3886/computer-vision-project", "kernel_id": "47784299"}, {"ref": "sameerranjan2206/image-segmentation-u-net", "kernel_id": "47035391"}, {"ref": "jainsuyash2003/cv-project-implementation", "kernel_id": "47764271"}, {"ref": "debasishpalai18/nuclei-segmentation-using-u-net-and-double-u-net", "kernel_id": "49077984"}, {"ref": "aavilacar/microscope-image-segmentation", "kernel_id": "49541105"}, {"ref": "valliansayoga/learning-u-net-using-data-science-bowl-2018-data", "kernel_id": "50095744"}, {"ref": "manellansari/u-net-image-segmentation-model", "kernel_id": "51725531"}, {"ref": "selcukcan/dl-6-3-image-segmentation-using-u-net", "kernel_id": "52044329"}, {"ref": "irbr369/u-net-for-nuclie-segmentation", "kernel_id": "52870947"}, {"ref": "samithanawarathna/tensorflow-mri-segmentation-with-unet-resunet", "kernel_id": "52262729"}, {"ref": "monkira/transunet", "kernel_id": "54113241"}, {"ref": "minjeongv/teaching-notebook-for-total-imaging-newbies", "kernel_id": "54675748"}, {"ref": "b21dccn032vthnht/image-segmentation-unet", "kernel_id": "55034916"}, {"ref": "nanmorsantos/getting-started-image-processing-basics", "kernel_id": "57344554"}, {"ref": "shanksftw/unet-sgd", "kernel_id": "57835851"}, {"ref": "shanksftw/unet-new", "kernel_id": "57256742"}, {"ref": "skandtripathi/unet-nuclei", "kernel_id": "60988299"}, {"ref": "abhiramkamini/image-segmentation-u-net", "kernel_id": "61499977"}, {"ref": "haminhhieu/databowl", "kernel_id": "61805593"}, {"ref": "vijaybj/yolo-pytorch-from-scratch", "kernel_id": "63182251"}, {"ref": "josshhh/unet-cell-segmentation", "kernel_id": "64122276"}, {"ref": "kansalritu/semantic-segmentation", "kernel_id": "64301582"}, {"ref": "aman896/segmentaion-using-u-net", "kernel_id": "66362964"}, {"ref": "safindipto/fca-2018-bowl", "kernel_id": "68591419"}, {"ref": "adeliashafiraardhani/tugas-identification-and-segmentation-of-nuclei", "kernel_id": "69496408"}, {"ref": "beweird/unet-nuclei", "kernel_id": "69969883"}, {"ref": "arumraa/identifikasi-dan-segmentasi-of-nuclei-in-cells", "kernel_id": "69589582"}, {"ref": "lethihongphuong/notebookf8f9076e8c", "kernel_id": "73584401"}, {"ref": "schmitouuuu/cell-segmentation-nicolas-schmitt", "kernel_id": "73628205"}, {"ref": "suddhasattwadas/unet-1-nucli", "kernel_id": "74772508"}, {"ref": "ayushrai781/cellsegunet", "kernel_id": "76399275"}, {"ref": "htrnnhnguynde180372/u-net-bee-varroa", "kernel_id": "80402452"}, {"ref": "ayushrai781/cellsegunet-tune", "kernel_id": "83005315"}, {"ref": "zubairiqbal10/u-net-image-segmentation", "kernel_id": "85492453"}, {"ref": "fardinp/cell-nuclei-segmentation-project", "kernel_id": "86091361"}, {"ref": "radeveljic/image-segmentation-u-net-rade", "kernel_id": "90357369"}, {"ref": "antimamishra004/semantic-segmentation", "kernel_id": "90840583"}, {"ref": "sreeramojuritvik/vicky", "kernel_id": "93334815"}, {"ref": "ttai1302/unet-unetplusplus-segmentation", "kernel_id": "97812332"}, {"ref": "osmansevili/bowl-data-science", "kernel_id": "97081981"}, {"ref": "balirasem/segemenation-nuclei", "kernel_id": "98353865"}, {"ref": "haitemboulahbal/project-aii", "kernel_id": "98230850"}, {"ref": "naveedmuhammadsaad/u-net-and-variants", "kernel_id": "98252814"}, {"ref": "aknietkalzhan/unet-nucleus-akko", "kernel_id": "99364772"}, {"ref": "hoangnguyencanh1010/comva", "kernel_id": "100907782"}, {"ref": "loiwiiz/test-xla", "kernel_id": "101841012"}, {"ref": "min2k4/test-xla", "kernel_id": "102835849"}, {"ref": "gamzebabayigit/bowldatascience", "kernel_id": "103098878"}, {"ref": "mujtaba445/final-superglue-assignment", "kernel_id": "110528218"}, {"ref": "kangsuchang/unet-baseline", "kernel_id": "119215594"}, {"ref": "nguyenhuyhoang1/nestedunet-unet", "kernel_id": "125511117"}, {"ref": "abinj12553/nuclei-segmentation-phenotypic-profiling-for-dru", "kernel_id": "126346698"}, {"ref": "sriramlingavel01/u-net-deeplab", "kernel_id": "130622171"}, {"ref": "parth2157/2018-data-science-blow-studying-cell-ipynb", "kernel_id": "135983015"}]}
{"competition_id": "8096", "kernels": []}
{"competition_id": "8098", "kernels": []}
{"competition_id": "8099", "kernels": []}
{"competition_id": "8137", "kernels": []}
{"competition_id": "8142", "kernels": []}
{"competition_id": "8144", "kernels": []}
{"competition_id": "8146", "kernels": []}
{"competition_id": "8149", "kernels": []}
{"competition_id": "8157", "kernels": []}
{"competition_id": "8170", "kernels": [{"ref": "daisukelab/example-of-weighted-ensemble", "kernel_id": "706281"}, {"ref": "daisukelab/simple-cnn-approach", "kernel_id": "698653"}, {"ref": "daisukelab/time-wise-mean-approach", "kernel_id": "698793"}, {"ref": "daisukelab/sound-event-based-approach", "kernel_id": "699918"}, {"ref": "daisukelab/mixup-cutout-or-random-erasing-to-augment", "kernel_id": "678371"}, {"ref": "daisukelab/optimizing-ensemble-weights-using-simple", "kernel_id": "736960"}, {"ref": "muhammadmahtab/time-wise-mean-approach", "kernel_id": "73141177"}, {"ref": "muhammadmahtab/simple-cnn-approach", "kernel_id": "73638151"}]}
{"competition_id": "8172", "kernels": []}
{"competition_id": "8219", "kernels": [{"ref": "mpekalski/imaterialist-downloader-util-try-except", "kernel_id": "834422"}, {"ref": "rahulbiswas0/data-utils-script-py", "kernel_id": "849464"}, {"ref": "jahaziel/download-images-using-r", "kernel_id": "821515"}, {"ref": "djuuuu/imaterialist-object-detection-colors-eda", "kernel_id": "890881"}, {"ref": "am1to2/data-exploration-and-analysis", "kernel_id": "815796"}, {"ref": "am1to2/multiprocessing-download-and-keras-check", "kernel_id": "818218"}, {"ref": "jihyeseo/images-as-json-url", "kernel_id": "958565"}, {"ref": "kenluck2001/kernel8e0097a3e4", "kernel_id": "847903"}, {"ref": "kenluck2001/image-download-using-multiprocessing", "kernel_id": "847911"}, {"ref": "sshekhar/download-image-progress-resume-multiprocessing", "kernel_id": "820465"}, {"ref": "suraj2596/download-datasets-to-your-google-drive", "kernel_id": "819659"}, {"ref": "amadeus1996/kernelf326ab75bd", "kernel_id": "895577"}, {"ref": "zexihan/simplest-multithreading-downloader", "kernel_id": "817321"}, {"ref": "lecasax/imaterialist-async-downloader", "kernel_id": "893745"}, {"ref": "badalgupta/simple-data-exploration", "kernel_id": "816704"}, {"ref": "h123453047/json-to-multi-label-json", "kernel_id": "939842"}, {"ref": "disenwang1994/matching-clustering", "kernel_id": "973574"}, {"ref": "aguyhasnoname/clean-img-rmv-face-bg-detect-chge-skin", "kernel_id": "846145"}, {"ref": "anqitu/data-leakage-findings-from-validation", "kernel_id": "827674"}, {"ref": "anqitu/for-starter-json-to-multilabel-in-24-seconds", "kernel_id": "845312"}, {"ref": "shivamb/imaterialist-fashion-eda-object-detection-colors", "kernel_id": "877618"}, {"ref": "blastchar/imaterialist-challenge-r-or-not-r", "kernel_id": "962545"}, {"ref": "bluesky314/kerneld953fb8420", "kernel_id": "992216"}, {"ref": "dfanghu/gui-for-further-annotating-and-viewing-data", "kernel_id": "824499"}, {"ref": "nlecoy/imaterialist-downloader-util", "kernel_id": "816895"}, {"ref": "frenchie4111/imaterialist-downloader-util-w-max-argument", "kernel_id": "949084"}, {"ref": "shaswatrungta/count-based-analysis-of-dataset", "kernel_id": "1001910"}, {"ref": "joshcarty/command-line-downloader-threading-size-restart", "kernel_id": "1008233"}, {"ref": "frankqiu/explore-test-json-py", "kernel_id": "2731787"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "selvasubramanians/download-images-from-url", "kernel_id": "31009220"}, {"ref": "vipulsharma2000/imaterialist-fashion-eda-object-detection-colors", "kernel_id": "36702801"}]}
{"competition_id": "8220", "kernels": [{"ref": "liangjiajun/multiprocess-download-image-with-progress-bar", "kernel_id": "723635"}, {"ref": "prithvinambiar/img-download-with-an-option-to-specify-percentage", "kernel_id": "810061"}, {"ref": "iezepov/this-is-a-text-classification-competition", "kernel_id": "739726"}, {"ref": "am1to2/basic-data-exploration-and-analysis", "kernel_id": "815929"}, {"ref": "codemukul95/download-images-pause-and-resume", "kernel_id": "738952"}, {"ref": "jahanpour/dive-into-cats", "kernel_id": "746396"}, {"ref": "jihyeseo/image-url-as-json", "kernel_id": "958573"}, {"ref": "andrewrib/visualizing-imaterialist-data", "kernel_id": "748201"}, {"ref": "aloisiodn/python-3-download-multi-proc-prog-bar-resume", "kernel_id": "724086"}, {"ref": "qianlicaody/fetch-data-py", "kernel_id": "887759"}, {"ref": "nepuerto/image-download-with-progress-bar-in-r", "kernel_id": "777450"}, {"ref": "codename007/simple-exploration-notebook-furniture", "kernel_id": "717938"}, {"ref": "pranav2109/python-code-download-save-images", "kernel_id": "743129"}, {"ref": "tejasvedagiri/pyhton3-code-to-download-images-using-threading", "kernel_id": "723094"}, {"ref": "pzyxian/datadownloader-script-not-sure-why-it-is-slow", "kernel_id": "973048"}, {"ref": "rajeshpurwar/efficient-data-loading", "kernel_id": "809133"}, {"ref": "bsivavenu/simple-eda-on-fgvc5", "kernel_id": "740961"}, {"ref": "anqitu/data-distribution-eda-and-leaderboard-exploit", "kernel_id": "861891"}, {"ref": "shivamb/imaterialist-furniture-data-image-exploration", "kernel_id": "949573"}, {"ref": "syltruong/img-download-multi-proc-bar-resume-fail-logs", "kernel_id": "742647"}, {"ref": "dowakin/probability-calibration-0-005-to-lb", "kernel_id": "1044302"}, {"ref": "vikkach/imaterialist-challenge-furniture-2018-resnet-18", "kernel_id": "35714541"}]}
{"competition_id": "8222", "kernels": []}
{"competition_id": "8225", "kernels": []}
{"competition_id": "8226", "kernels": []}
{"competition_id": "8227", "kernels": []}
{"competition_id": "8229", "kernels": []}
{"competition_id": "8241", "kernels": []}
{"competition_id": "8243", "kernels": []}
{"competition_id": "8276", "kernels": []}
{"competition_id": "8277", "kernels": []}
{"competition_id": "8287", "kernels": []}
{"competition_id": "8288", "kernels": []}
{"competition_id": "8294", "kernels": []}
{"competition_id": "8303", "kernels": [{"ref": "gertjac/first-exploration", "kernel_id": "687600"}]}
{"competition_id": "8307", "kernels": []}
{"competition_id": "8310", "kernels": [{"ref": "gaborfodor/i-don-t-always-read-the-rules", "kernel_id": "673546"}, {"ref": "wacaxx/ncaa-elo-based-submission-2018", "kernel_id": "674276"}, {"ref": "wacaxx/2018-coaches-salary-and-historical-performance", "kernel_id": "746813"}, {"ref": "joergdietrich/team-pairings-with-cityid", "kernel_id": "731483"}, {"ref": "ceshine/basic-pymc3-model-single-score-per-team", "kernel_id": "738882"}, {"ref": "ceshine/basic-pymc3-model-single-score-per-team-public", "kernel_id": "739647"}, {"ref": "ceshine/basic-pymc3-model-multi-season-corrected", "kernel_id": "741682"}, {"ref": "ceshine/basic-pymc3-model", "kernel_id": "714842"}, {"ref": "baeng72/markov-ratings", "kernel_id": "709522"}, {"ref": "baeng72/basic-least-squares-ratings", "kernel_id": "675030"}, {"ref": "taffeylewis/for-fun-my-original-synthetic-spreads", "kernel_id": "673416"}, {"ref": "aphaniteja/exploratory-madness", "kernel_id": "674297"}, {"ref": "michaelpawlus/point-margin-by-seed-margin", "kernel_id": "684908"}, {"ref": "scirpus/mens-genetic-programming", "kernel_id": "706405"}, {"ref": "alecgunny/explore-coaches", "kernel_id": "710905"}, {"ref": "kevinpan/march-madness-elo-rankings", "kernel_id": "735217"}, {"ref": "biales/basketball", "kernel_id": "699964"}, {"ref": "jtrotman/visualise-stage-1-submission-as-heatmaps-mens", "kernel_id": "702413"}, {"ref": "pozz13/introduction-to-basic-moreyball-eda", "kernel_id": "694903"}, {"ref": "captcalculator/better-seed-benchmark-one-liner", "kernel_id": "696044"}, {"ref": "captcalculator/a-very-extensive-ncaa-exploratory-analysis", "kernel_id": "689517"}, {"ref": "robertsturrock/simple-tool-to-benchmark-your-ncaa-predictions", "kernel_id": "695625"}, {"ref": "robertsturrock/prediction-using-fivethirtyeight-elo-ratings", "kernel_id": "702012"}, {"ref": "drwonka/calculate-up-to-date-log-loss", "kernel_id": "738443"}, {"ref": "amitkumarjaiswal/basic-starter-kernel-ncaa-men-s-dataset", "kernel_id": "688989"}, {"ref": "memocyp/team-home-cities-by-season", "kernel_id": "700774"}, {"ref": "albada/2018-stage-ii-predictions", "kernel_id": "735325"}, {"ref": "jihyeseo/men-basketball-proba-predict-regression", "kernel_id": "958630"}, {"ref": "nachilieder/mlp-classifier-march-madness", "kernel_id": "713068"}, {"ref": "juliaelliott/basic-starter-kernel-ncaa-men-s-dataset", "kernel_id": "638272"}, {"ref": "mbkinaci/tidying-data-xgboost-feature-importance", "kernel_id": "724808"}, {"ref": "praveen14/basic-logistic-regression-r", "kernel_id": "736260"}, {"ref": "maniceet/histograms-of-championship-match", "kernel_id": "740365"}, {"ref": "maniceet/logistic-regression-0-288", "kernel_id": "716201"}, {"ref": "maxphilipp/creating-a-tidy-dataset-for-starters-using-dplyr", "kernel_id": "674928"}, {"ref": "caicell/python-eda-defensive-team-won-until-section-2", "kernel_id": "675641"}, {"ref": "nickydebeer/my-unique-approach-local-cv-0-49", "kernel_id": "742476"}, {"ref": "naturebalance/submission-fork-of-ncaa-m-v9-selectinput", "kernel_id": "729419"}, {"ref": "zeemeen/ncaa-trueskill-script", "kernel_id": "676405"}, {"ref": "jawe2379/rolling-averages-for-pre-tournament-games", "kernel_id": "727029"}, {"ref": "aashita/feature-engineering-for-march-madness", "kernel_id": "773118"}, {"ref": "asindico/ncaa-tournaments-competition-walkthrough", "kernel_id": "674684"}, {"ref": "jdp6ax/bayesian-ncaam-predictions", "kernel_id": "705129"}, {"ref": "efezinoerome/ncaa-tournament-prediction", "kernel_id": "684521"}, {"ref": "efezinoerome/ncaa-tournament-prediction-part-2", "kernel_id": "710856"}, {"ref": "bonesaw98616/elo-optimization", "kernel_id": "719718"}, {"ref": "connor24/score-based-boxes-pool-analysis", "kernel_id": "738301"}, {"ref": "rjwdata/basic-logistic-regression-r", "kernel_id": "678707"}, {"ref": "dandouthit/rolling-averages-for-pre-tournament-games", "kernel_id": "725671"}, {"ref": "dandouthit/dan-s-tourney-predictions-elo-and-recent-stats", "kernel_id": "725767"}, {"ref": "dandouthit/dan-s-2018-tournament-predictions-elo-only", "kernel_id": "695174"}, {"ref": "osciiart/basic-starter-kernel-ncaa-men-s-dataset-with-jp", "kernel_id": "696493"}, {"ref": "osciiart/ridge-huber-3-pointer-m-as-notebook", "kernel_id": "696792"}, {"ref": "lnatml/feature-engineering-with-advanced-stats", "kernel_id": "675094"}, {"ref": "eaturner/logistics-and-basic-stats-lb-public-0-046", "kernel_id": "674330"}, {"ref": "lpkirwin/fivethirtyeight-elo-ratings", "kernel_id": "686002"}, {"ref": "milansaxena12/ncaa-march-madness-prediction-notebook", "kernel_id": "712204"}, {"ref": "victoremil/historical-homecourt-advantage-analysis", "kernel_id": "713879"}, {"ref": "jaseziv83/calculating-regular-season-totals-and-averages", "kernel_id": "678026"}, {"ref": "jaseziv83/initial-tourney-eda-tbc", "kernel_id": "675063"}, {"ref": "eamanu/using-events", "kernel_id": "760624"}, {"ref": "eamanu/my-submit-for-ncaa-competition", "kernel_id": "759063"}, {"ref": "eamanu/using-players-info", "kernel_id": "934077"}, {"ref": "rahullalu/ncaa-ml-competition-understanding-dataset", "kernel_id": "750618"}, {"ref": "dicksonchin93/collaborative-filtering", "kernel_id": "680128"}, {"ref": "jiangyunzhang/team-cm", "kernel_id": "725709"}, {"ref": "paultimothymooney/predict-ncaa-basketball-2018", "kernel_id": "734080"}, {"ref": "paultimothymooney/predict-ncaa-basketball-2017-491782", "kernel_id": "734101"}, {"ref": "uddipta/xgb-basic-stats-lb-public-0-007331", "kernel_id": "722403"}, {"ref": "virtonos/advanced-basketball-analytics", "kernel_id": "698632"}, {"ref": "bshiffle/march-madness-eda", "kernel_id": "698210"}, {"ref": "musicpulpite/an-introductory-attempt-at-nnets-on-march-madness", "kernel_id": "764872"}, {"ref": "philwebb59/you-don-t-need-perfect-data-to-win", "kernel_id": "700992"}, {"ref": "tylerburkett/march-madness-predictions-clean", "kernel_id": "735073"}, {"ref": "ericbaranowski/predict-ncaa-basketball-2018", "kernel_id": "734821"}, {"ref": "kdorosh/march-madness-kaggle-contest-2018", "kernel_id": "680015"}, {"ref": "circle811/simple-logistic-regression", "kernel_id": "736027"}, {"ref": "anicolas/kernel11af9d177d", "kernel_id": "708120"}, {"ref": "sampocs/march-madness-challenge-2018", "kernel_id": "735812"}, {"ref": "bcubeb3/ncaa-2018-model-irving-soai-demo", "kernel_id": "1775405"}, {"ref": "yiyueliu/ncaa-men-s-basketball-coach-prediction", "kernel_id": "1811458"}, {"ref": "mtodisco10/ncaa-men-s-bball-champions-ranking-animation", "kernel_id": "2722310"}, {"ref": "addisonhoward/basic-starter-kernel-ncaa-men-s-dataset-2019", "kernel_id": "2959670"}, {"ref": "murphydan/conference-realignment-other-ncaa-bball-data-viz", "kernel_id": "2517796"}, {"ref": "randomnumb/retrieve-kenpom-ratings-and-match-to-ncaa-data", "kernel_id": "3280108"}, {"ref": "santhiyar/day-20-task", "kernel_id": "19984849"}, {"ref": "thbalaji/day-22", "kernel_id": "20340793"}, {"ref": "jojoyin/pymc3", "kernel_id": "51146360"}, {"ref": "mahmoudashraf7400/google-cloud-ncaa-ml-competition-best-solutio", "kernel_id": "88600596"}]}
{"competition_id": "8311", "kernels": [{"ref": "wacaxx/wncaa-elo-based-submission-r-2018", "kernel_id": "674480"}, {"ref": "baeng72/search-for-a-useful-home-court-advantage-estimator", "kernel_id": "693871"}, {"ref": "taffeylewis/for-fun-my-original-synthetic-spreads-womens", "kernel_id": "673493"}, {"ref": "kathakaliseth/ncaa-march-madness-at-a-glance-wip", "kernel_id": "680062"}, {"ref": "michaelpawlus/wncaa-point-margin-by-seed-margin", "kernel_id": "699107"}, {"ref": "thawatt/calculate-elo-and-rpi", "kernel_id": "714385"}, {"ref": "scirpus/womens-genetic-program", "kernel_id": "688624"}, {"ref": "jhuopana/random-travels-notebook", "kernel_id": "696653"}, {"ref": "enrique1500/basic-starter-kernel-translated-into-r", "kernel_id": "704693"}, {"ref": "kevinpan/minimal-code-for-fivethirtyeight-s-elo-predictions", "kernel_id": "737727"}, {"ref": "jtrotman/visualise-stage-1-submission-as-heatmaps-women-s", "kernel_id": "702465"}, {"ref": "tejasrinivas/preprocessing-code-to-join-all-the-tables-eda", "kernel_id": "674149"}, {"ref": "jihyeseo/basketball-predict-probability-regression", "kernel_id": "958621"}, {"ref": "juliaelliott/basic-starter-kernel-ncaa-women-s-dataset", "kernel_id": "636583"}, {"ref": "mbkinaci/basic-logistic-regression-0-51", "kernel_id": "725131"}, {"ref": "brianfong192/how-far-can-i-get-with-nba-stats-wip-lb-0-452", "kernel_id": "680793"}, {"ref": "samterfa/women-s-ncaa-exploration", "kernel_id": "674088"}, {"ref": "robikscube/eda-of-women-s-ncaa-bracket-data-in-progress", "kernel_id": "673835"}, {"ref": "sampath1310/sneak-peek-into-data", "kernel_id": "694450"}, {"ref": "senkin13/lgbm-starter", "kernel_id": "678013"}, {"ref": "maxphilipp/creating-tidy-dataset-with-dplyr", "kernel_id": "674907"}, {"ref": "naturebalance/submission-fork-of-ncaa-w-v9-selectinput", "kernel_id": "728592"}, {"ref": "naturebalance/trying-predict-something-ncaa-dataset", "kernel_id": "680421"}, {"ref": "gregsmacros/first-pass-review", "kernel_id": "676231"}, {"ref": "rhajou/table-joining-adding-tourney-games-round-number", "kernel_id": "680976"}, {"ref": "amlanpraharaj/simple-lr-using-only-seeds", "kernel_id": "733997"}, {"ref": "kvirasat/women-s-ncaa-data-visualization", "kernel_id": "678850"}, {"ref": "pranjal05/google-cloud-ncaa-ml-competition-2018-women-s", "kernel_id": "711952"}, {"ref": "octaviosantana/creating-new-feature", "kernel_id": "683481"}, {"ref": "dicksonchin93/collaborative-filterings", "kernel_id": "680229"}, {"ref": "tazeffiro/expected-score-based-prediction", "kernel_id": "757529"}, {"ref": "piumallick/2018-ncaa-tournament-women-s", "kernel_id": "674105"}, {"ref": "harshaiitj08/wncaa-trying-basics-new-ml-users-n00bs", "kernel_id": "674917"}, {"ref": "anqitu/how-i-get-full-mark", "kernel_id": "703536"}, {"ref": "dcampeao/using-reg-season-results-logistic-regression", "kernel_id": "738319"}, {"ref": "mutterberg/basic-starter-kernel-ncaa-women-s-dataset", "kernel_id": "702460"}, {"ref": "avigehlot/google-cloud-ncaa-ml-competition-2018-women-s", "kernel_id": "729829"}, {"ref": "mihidashr/tensorflow-neural-network-ncaa", "kernel_id": "738734"}, {"ref": "shinogi/ncaaw2018", "kernel_id": "8246110"}, {"ref": "keitarokonishi/kernel83dd5616d3", "kernel_id": "8234008"}, {"ref": "santhiyar/day-27-task", "kernel_id": "20184951"}, {"ref": "selvadharani/day-27", "kernel_id": "20276612"}]}
{"competition_id": "8316", "kernels": []}
{"competition_id": "8365", "kernels": []}
{"competition_id": "8375", "kernels": []}
{"competition_id": "8377", "kernels": []}
{"competition_id": "8392", "kernels": []}
{"competition_id": "8396", "kernels": [{"ref": "mpekalski/download-data-straight-to-compressed-tfrecord", "kernel_id": "605137"}, {"ref": "festa78/extract-bottleneck-features-using-tensorflow-hub", "kernel_id": "946895"}, {"ref": "festa78/distance-between-images-using-botttleneck", "kernel_id": "946924"}, {"ref": "bestaar/deep-metric-learning-with-pretrained-keras-models", "kernel_id": "661291"}, {"ref": "insaff/inefficient-way-to-get-similar-photos", "kernel_id": "975273"}, {"ref": "anokas/py3-image-downloader-w-progress-bar", "kernel_id": "595618"}, {"ref": "nandadeepd/simpleimagedownloader", "kernel_id": "679703"}, {"ref": "jihyeseo/landmark-retrieval-image", "kernel_id": "958553"}, {"ref": "madorin/download-images-from-url-save-into-dicstionary", "kernel_id": "680494"}, {"ref": "wesamelshamy/extract-geographical-data-from-image-description", "kernel_id": "973190"}, {"ref": "wesamelshamy/tutorial-image-feature-extraction-and-matching", "kernel_id": "893709"}, {"ref": "codename007/google-landmark-retrieval-exploratory-analysis", "kernel_id": "624332"}, {"ref": "tobwey/landmark-retrieval-challenge-image-downloader", "kernel_id": "588022"}, {"ref": "juhi2811/exploratory-analysis-of-the-landmark-images", "kernel_id": "809106"}, {"ref": "xenosender/html-submission-examiner", "kernel_id": "749070"}, {"ref": "offbye/move-downloaded-images-to-id-dirs", "kernel_id": "1501533"}, {"ref": "manoelfigueiredo/landmark-retrieval-challenge-image-downloader", "kernel_id": "4035915"}]}
{"competition_id": "8400", "kernels": []}
{"competition_id": "8409", "kernels": []}
{"competition_id": "8423", "kernels": []}
{"competition_id": "8426", "kernels": [{"ref": "grjasewe/lgbm-with-selected-columns", "kernel_id": "820975"}, {"ref": "sudalairajkumar/simple-eda-fe-notebook-donorschoose", "kernel_id": "709195"}, {"ref": "jyotiska/jyotiska-donors-choose-project", "kernel_id": "956774"}, {"ref": "ambarish/eda-fe-xgb-glm-maps-donors-choose", "kernel_id": "699577"}, {"ref": "danofer/donors-data-merge", "kernel_id": "706612"}, {"ref": "pleonova/what-can-we-learn-from-the-essays", "kernel_id": "871887"}, {"ref": "opanichev/lightgbm-and-tf-idf-starter", "kernel_id": "697233"}, {"ref": "ftlftw/thinking-like-a-data-scientist-donorschoose-eda", "kernel_id": "746228"}, {"ref": "tantanchen/phillyr-1-loading-the-data", "kernel_id": "757528"}, {"ref": "scirpus/target-encoding", "kernel_id": "709920"}, {"ref": "dpeskov/natural-langage-processing-with-torchtext", "kernel_id": "886097"}, {"ref": "lsaa2014/comprehensive-eda-of-donorschoose-and-basic-ml", "kernel_id": "821556"}, {"ref": "satadru5/eda-and-ml-dl-modeling-with-donorschoose-data", "kernel_id": "724977"}, {"ref": "nujcharee/classification-with-spacy", "kernel_id": "865514"}, {"ref": "edzhang/quick-eda", "kernel_id": "715454"}, {"ref": "nulldata/intro-to-pandas-profiling-simple-fast-eda-wsb", "kernel_id": "718965"}, {"ref": "pbnjeff/donorschoose-resources-exploration", "kernel_id": "697986"}, {"ref": "pbnjeff/trainingdata-prefix-exploration", "kernel_id": "698061"}, {"ref": "pbnjeff/donorschoose-previous-experience", "kernel_id": "701169"}, {"ref": "pbnjeff/xgboosting-to-a-better-algorithm", "kernel_id": "790688"}, {"ref": "CVxTz/keras-baseline-feature-hashing-price-tfidf", "kernel_id": "702038"}, {"ref": "CVxTz/keras-baseline-feature-hashing-cnn", "kernel_id": "702585"}, {"ref": "CVxTz/simple-average-model", "kernel_id": "702723"}, {"ref": "rahulvks/lightgbm-and-tf-idf-with-bigram", "kernel_id": "827001"}, {"ref": "jordanrex/donorschoose-xgb-and-h2o-ensemble-in-r", "kernel_id": "900812"}, {"ref": "vinodsundaram/simple-eda", "kernel_id": "711607"}, {"ref": "amitkumarjaiswal/exploratory-analysis", "kernel_id": "731022"}, {"ref": "amitkumarjaiswal/feature-engineering-on-the-go", "kernel_id": "803197"}, {"ref": "amitkumarjaiswal/donorschoose-exploration-submission", "kernel_id": "823616"}, {"ref": "jagangupta/understanding-approval-donorschoose-eda-fe-eli5", "kernel_id": "712686"}, {"ref": "phustak/donors-choose-tensorflow-model", "kernel_id": "854938"}, {"ref": "huguera/approve-me-donorschoose-eda", "kernel_id": "708617"}, {"ref": "jihyeseo/donorchoose-eda", "kernel_id": "958473"}, {"ref": "tanank/data-exploration-and-random-forest-result", "kernel_id": "745662"}, {"ref": "safavieh/ultimate-feature-engineering-xgb-lgb-nn", "kernel_id": "768351"}, {"ref": "nhrade/text-classification-using-word-embeddings", "kernel_id": "901519"}, {"ref": "blackbee2016/automation-of-feature-engineering", "kernel_id": "802166"}, {"ref": "richarde/random-forest-with-50-reduction-in-training-time", "kernel_id": "805844"}, {"ref": "fizzbuzz/the-all-in-one-model", "kernel_id": "777255"}, {"ref": "fizzbuzz/beginner-s-guide-to-capsule-networks", "kernel_id": "757293"}, {"ref": "fizzbuzz/a-blend-with-logit", "kernel_id": "759343"}, {"ref": "fizzbuzz/lightgbm-and-nmf-starter-code", "kernel_id": "732788"}, {"ref": "fizzbuzz/how-to-perform-rank-averaging", "kernel_id": "732858"}, {"ref": "fizzbuzz/a-pure-nlp-approach", "kernel_id": "735546"}, {"ref": "artgor/eda-feature-engineering-and-xgb-lgb", "kernel_id": "709332"}, {"ref": "coronate/scoring-top-3", "kernel_id": "858493"}, {"ref": "coronate/donorschoose-exploratory-analysis", "kernel_id": "695546"}, {"ref": "coronate/donorschoose-org-application-screening-with-keras", "kernel_id": "698567"}, {"ref": "toorkp/dcds2018", "kernel_id": "815319"}, {"ref": "pecooper/xgboost-benchmark-v2", "kernel_id": "709722"}, {"ref": "pecooper/pete-s-second-attempt", "kernel_id": "719447"}, {"ref": "cynthiacho/cynthiachoprojectsubmission", "kernel_id": "758830"}, {"ref": "a45632/keras-baseline-feature-hashing-cnn-with-graph", "kernel_id": "703759"}, {"ref": "tetyanayatsenko/en-02", "kernel_id": "855689"}, {"ref": "tetyanayatsenko/d-test-02", "kernel_id": "759297"}, {"ref": "tetyanayatsenko/power-64", "kernel_id": "762196"}, {"ref": "tetyanayatsenko/ensembling-d50", "kernel_id": "828189"}, {"ref": "jmbull/nb-svm", "kernel_id": "800492"}, {"ref": "jmbull/xtra-credit-xgb-lgb-tfidf-feature-stacking", "kernel_id": "695543"}, {"ref": "nicapotato/tf-idf-and-features-logistic-regression", "kernel_id": "703376"}, {"ref": "nicapotato/tf-idf-text-only", "kernel_id": "703756"}, {"ref": "nicapotato/logit-stacker-with-power", "kernel_id": "761114"}, {"ref": "nicapotato/abc-s-of-tf-idf-boosting-0-798", "kernel_id": "749170"}, {"ref": "jpnewmenji/eda-donorschoose-org-application-screening", "kernel_id": "779950"}, {"ref": "blasteraj/donorschoose-org-1", "kernel_id": "727620"}, {"ref": "anu0012/eda-ensemble", "kernel_id": "709350"}, {"ref": "arjundas/simple-eda-exploratory-donation-approval", "kernel_id": "819959"}, {"ref": "ibrahimaptlo10/eda-using-tableau-and-word-counts", "kernel_id": "800320"}, {"ref": "ibrahimaptlo10/probability-project-approved", "kernel_id": "748516"}, {"ref": "ianchute/baseline-model-bernoulli-naive-bayes-lb-0-68", "kernel_id": "751100"}, {"ref": "shubham219/first-kernal", "kernel_id": "805453"}, {"ref": "shubham219/a-basic-starting-with-random-forest", "kernel_id": "806895"}, {"ref": "danlou7/logistic-regression-tf-idf-one-hot-metadata", "kernel_id": "829378"}, {"ref": "estasney/donors-nb", "kernel_id": "897845"}, {"ref": "estasney/donors-train2", "kernel_id": "905607"}, {"ref": "estasney/learning-from-the-best-v4", "kernel_id": "886891"}, {"ref": "headsortails/an-educated-guess-update-feature-engineering", "kernel_id": "695480"}, {"ref": "matthewa313/ensembling-with-logistic-regression-lb-82-4", "kernel_id": "751651"}, {"ref": "matthewa313/naive-bayes-svm-on-vocabulary", "kernel_id": "752553"}, {"ref": "codename007/a-very-extensive-end-to-end-project-donorschoose", "kernel_id": "803296"}, {"ref": "varmax/donorchoose-org-eda", "kernel_id": "767623"}, {"ref": "linwenxing/glove-vector-lstm", "kernel_id": "893816"}, {"ref": "qinhui1999/deep-learning-is-all-you-need-lb-0-80x", "kernel_id": "742097"}, {"ref": "qinhui1999/how-to-get-a-0-812x-score-on-a-single-model", "kernel_id": "811110"}, {"ref": "tommyod/mastering-the-basics-80-using-scikit-learn-v2-0", "kernel_id": "865690"}, {"ref": "anuaspriya/donors-tensor", "kernel_id": "986242"}, {"ref": "manivelu05/simple-logistic-regression", "kernel_id": "739082"}, {"ref": "ahmedalesh/glove-xgboost-and-lgbm", "kernel_id": "712905"}, {"ref": "ahmedalesh/att-layer-for-keras-backend-using-tensorflow", "kernel_id": "754566"}, {"ref": "bigzhao/hierarchical-model-with-attention", "kernel_id": "881639"}, {"ref": "hoonkeng/how-to-get-81-gru-att-lgbm-tf-idf-eda", "kernel_id": "714695"}, {"ref": "skleinfeld/getting-started-with-the-donorschoose-data-set", "kernel_id": "651490"}, {"ref": "vlasoff/beginner-s-guide-nn-with-multichannel-input", "kernel_id": "734073"}, {"ref": "mmi333/beat-the-benchmark-with-one-feature", "kernel_id": "696021"}, {"ref": "emotionevil/beginners-workflow-meanencoding-lgb-nn-ensemble", "kernel_id": "724015"}, {"ref": "emotionevil/dpcnn-pesudo-labeling", "kernel_id": "823559"}, {"ref": "anishjosh/donorschoose-org-application-screening", "kernel_id": "869830"}, {"ref": "shadowwarrior/spellchecking-feature-improves-auc", "kernel_id": "871688"}, {"ref": "shadowwarrior/1st-place-solution", "kernel_id": "878765"}, {"ref": "shadowwarrior/adversarial-validation-of-text", "kernel_id": "758633"}, {"ref": "zahoorahmad/ensembling-with-logistic-regression-lb-81-947", "kernel_id": "788758"}, {"ref": "zahoorahmad/nlp-and-stacking-starter-dpcnn-lgb-lb0-80", "kernel_id": "762615"}, {"ref": "zahoorahmad/grid-search-for-best-parameters", "kernel_id": "763594"}, {"ref": "zahoorahmad/cleaning-and-selecting-features", "kernel_id": "753556"}, {"ref": "holfyuen/too-simple-sometimes-naive-bayes", "kernel_id": "862873"}, {"ref": "atulji/donorschoose-eda", "kernel_id": "968353"}, {"ref": "bricetaton/basic-bag-of-words", "kernel_id": "868398"}, {"ref": "mvalexander/donorschoose-models-ensemble", "kernel_id": "882569"}, {"ref": "mvalexander/donorschoose-mlnd-capstone-eda", "kernel_id": "914202"}, {"ref": "mvalexander/fork-of-donorschoose-full-cnn-yes-smote", "kernel_id": "934821"}, {"ref": "nvhbk16k53/simple-rnn-with-keras", "kernel_id": "709526"}, {"ref": "jgoldberg/donorschoose-eda-text-classification", "kernel_id": "710784"}, {"ref": "abhiyerasi/first-attempt-in-kaggle-need-suggestions", "kernel_id": "697184"}, {"ref": "anqitu/before-modelling-let-s-explore-and-visualize", "kernel_id": "750519"}, {"ref": "anqitu/lightlgb-with-text-and-self-engineered-features", "kernel_id": "761206"}, {"ref": "timsikes/donors-choose-cleaned-up", "kernel_id": "987160"}, {"ref": "mutterberg/teacher-developed-donorschoose-analysis", "kernel_id": "714418"}, {"ref": "shivamb/extensive-text-data-feature-engineering", "kernel_id": "756334"}, {"ref": "blastchar/donorschoose-the-first-analysis", "kernel_id": "708123"}, {"ref": "blastchar/donorschoose-some-water", "kernel_id": "760062"}, {"ref": "blastchar/donorschoose-some-water-lemon", "kernel_id": "889495"}, {"ref": "justcliffsmith/detailed-data-exploration-updated", "kernel_id": "795281"}, {"ref": "justcliffsmith/logistic-regression-tfidf-with-explanations", "kernel_id": "900661"}, {"ref": "goragus/beginner-s-journey-to-ml-eda-tf-idf-lgbm", "kernel_id": "800216"}, {"ref": "rahulk29/donorschoose", "kernel_id": "968451"}, {"ref": "gauravtaneja/rf-example", "kernel_id": "1373580"}, {"ref": "prithiviraj/for-beginners-tfidf-logistic-regression", "kernel_id": "1511859"}, {"ref": "anirudhvaranasi/donor-choose", "kernel_id": "1282776"}, {"ref": "ashishpatel26/beginner-s-guide-to-capsule-networks", "kernel_id": "1138733"}, {"ref": "bogikidd/nltk-and-gru-on-donorschoose-org", "kernel_id": "1212475"}, {"ref": "nafisur/beginner-s-guide-nn-with-multichannel-input", "kernel_id": "1086743"}, {"ref": "lmwaileong/eda-donors-org-application-screening", "kernel_id": "1327774"}, {"ref": "pulkitgarg33/project-apllication-screening-system", "kernel_id": "1030975"}, {"ref": "zahoorahmad/donorschoose-exploratory-analysis", "kernel_id": "1522781"}, {"ref": "zahoorahmad/exploring-donorchoose-org", "kernel_id": "1522782"}, {"ref": "boomberung/eda-tf-idf-lightgbm", "kernel_id": "1936959"}, {"ref": "xuyingh/first-kernel", "kernel_id": "1077306"}, {"ref": "thebratattack/exploratory-data-analysis", "kernel_id": "2992439"}, {"ref": "timsikes/donors-choose-cleaned-up-working-version", "kernel_id": "2716333"}, {"ref": "maukag/donorschoose-script", "kernel_id": "3779444"}, {"ref": "trojonhorse98/knn-tsne", "kernel_id": "3514054"}, {"ref": "arpandas65/a-simple-xgboost-approach-to-solve-donorschoose", "kernel_id": "3660314"}, {"ref": "neumatron11/jbj-python-demo", "kernel_id": "4008173"}, {"ref": "puneeth987/donorschoose-org-application-screening", "kernel_id": "4527417"}, {"ref": "anand0427/rnn-to-predict-project-proposal-acceptance", "kernel_id": "5078336"}, {"ref": "shubhamkc/eda-feature-engineering-and-xgb-lgb", "kernel_id": "5868795"}, {"ref": "iacsddbda/neuralnetwork-approach", "kernel_id": "5879937"}, {"ref": "sheetalkbc/dataanalysis-donorschoose", "kernel_id": "5894783"}, {"ref": "azhar05/donorschoose-project-proposal-by-md-azharuddin", "kernel_id": "11309216"}, {"ref": "deepak939/donors-choose-with-gradientboostingclassifier", "kernel_id": "11264866"}, {"ref": "alitlekbai/simple-rnn-with-keras", "kernel_id": "13408092"}, {"ref": "paulrohan2020/feature-engineering-naive-bayes-with-bag-of-words", "kernel_id": "14432420"}, {"ref": "qicongliu/bugzilla-capsnet-script", "kernel_id": "14746529"}, {"ref": "trashantrathore/nb-classifier-in-donors-choose-dt-via-bow-tfidf", "kernel_id": "27133221"}, {"ref": "shahidulugvcse/beginner-s-guide-to-capsule-networks", "kernel_id": "41978306"}]}
{"competition_id": "8445", "kernels": []}
{"competition_id": "8449", "kernels": []}
{"competition_id": "8452", "kernels": []}
{"competition_id": "8461", "kernels": []}
{"competition_id": "8465", "kernels": []}
{"competition_id": "8469", "kernels": []}
{"competition_id": "8475", "kernels": []}
{"competition_id": "8480", "kernels": []}
{"competition_id": "8487", "kernels": [{"ref": "kumarbhrgv/sendgrid-pipeline", "kernel_id": "904819"}]}
{"competition_id": "8497", "kernels": []}
{"competition_id": "8498", "kernels": []}
{"competition_id": "8511", "kernels": []}
{"competition_id": "8512", "kernels": []}
{"competition_id": "8514", "kernels": [{"ref": "andrilko/sgd-cb-lr-mb-9-place-pl-0-95311", "kernel_id": "682933"}]}
{"competition_id": "8525", "kernels": []}
{"competition_id": "8538", "kernels": []}
{"competition_id": "8540", "kernels": [{"ref": "konradb/validation-set", "kernel_id": "730542"}, {"ref": "konradb/vowpal-wabbit-input-file-preparation", "kernel_id": "717574"}, {"ref": "konradb/blended-submission-with-rank-normalization", "kernel_id": "833662"}, {"ref": "yanpapadakis/talkingdata-model-development-f", "kernel_id": "954860"}, {"ref": "krishnakesavan/r-lgbm-single-model-40m-rows-lb-0-9736", "kernel_id": "843328"}, {"ref": "krishnakesavan/to-check-if-input-files-are-sorted-on-click-time", "kernel_id": "850254"}, {"ref": "leadbest/how-to-use-attributed-time-for-regression", "kernel_id": "882985"}, {"ref": "anttip/talkingdata-wordbatch-fm-ftrl-lb-0-9769", "kernel_id": "732961"}, {"ref": "titericz/giba-darragh-ftrl-rerevisited", "kernel_id": "719765"}, {"ref": "kcbighuge/simple-averaging-clone-w-5-models", "kernel_id": "947507"}, {"ref": "cpmpml/ip-download-rates", "kernel_id": "758351"}, {"ref": "mpearmain/pandas-to-libffm", "kernel_id": "715761"}, {"ref": "chrisrck/understanding-differences-in-train-and-test-data", "kernel_id": "852955"}, {"ref": "kailex/data-table-xgb-0-968", "kernel_id": "738357"}, {"ref": "kailex/1liner", "kernel_id": "715838"}, {"ref": "kailex/talkingdata-eda-and-class-imbalance", "kernel_id": "720368"}, {"ref": "abecadel/keras-nn-starter-9-415", "kernel_id": "738644"}, {"ref": "danofer/downsampling-for-fun-speed", "kernel_id": "709706"}, {"ref": "danofer/baseline-app-mean-94-1-auc-lb", "kernel_id": "708218"}, {"ref": "pappukrjha/understandingdata-featureextraction", "kernel_id": "762676"}, {"ref": "pankajkumar/dataanalysis", "kernel_id": "862334"}, {"ref": "chuttipayanblr/famousfivekernel", "kernel_id": "753016"}, {"ref": "darraghdog/ftrl-revisited-22", "kernel_id": "716435"}, {"ref": "tantanchen/instant-downloads", "kernel_id": "763471"}, {"ref": "tantanchen/forked-kernel", "kernel_id": "755231"}, {"ref": "cartographic/undersampler", "kernel_id": "721546"}, {"ref": "renewang/out-of-core-h2o-drf", "kernel_id": "759525"}, {"ref": "renewang/out-of-core-sklearn-extratreesclassifier", "kernel_id": "864615"}, {"ref": "raghubommineni/feature-engg-clicks-in-last-min-hr-day", "kernel_id": "890274"}, {"ref": "samehif/transactions-with-new-ips", "kernel_id": "757490"}, {"ref": "scirpus/libffm-generator-for-baris-kanbar-stuff", "kernel_id": "880611"}, {"ref": "scirpus/a-bit-more-target-encoding-with-gp", "kernel_id": "899021"}, {"ref": "scirpus/bogun-xgboost-starter-with-target-encoding", "kernel_id": "723697"}, {"ref": "enfeizhan/refactored-baris-kanber-lgb-lb-0-9781", "kernel_id": "888182"}, {"ref": "henrywconklin/adtracking-feature-exploration", "kernel_id": "816378"}, {"ref": "kumaresanmanickavelu/talkingdata-adtracking-visualization-1", "kernel_id": "718452"}, {"ref": "cttsai/lr-w-ohe-all-training-data", "kernel_id": "721772"}, {"ref": "cttsai/blend-app-channel-and-app-mean", "kernel_id": "708628"}, {"ref": "deepdata/mapping-test-click-id-to-test-supplement-click-id", "kernel_id": "873988"}, {"ref": "mnpathak1/click-conversion-prediction-with-autoencoder-nn", "kernel_id": "914257"}, {"ref": "wythhh/convert-click-time-to-china-standard-time", "kernel_id": "719404"}, {"ref": "wythhh/private-lb-0-9824-single-lightgbm-model", "kernel_id": "955115"}, {"ref": "mrbeer/short-check-on-test-ordering-importance", "kernel_id": "823772"}, {"ref": "itkinai/simple-averaging-clone", "kernel_id": "953016"}, {"ref": "jtrotman/eda-talkingdata-temporal-click-count-plots", "kernel_id": "734308"}, {"ref": "jtrotman/scatter-plots-of-ip-over-time-per-channel-part-1", "kernel_id": "824752"}, {"ref": "jtrotman/scatter-plots-of-ip-over-time-per-channel-part-2", "kernel_id": "824766"}, {"ref": "sionek/testing-random-against-minutes-and-seconds", "kernel_id": "915727"}, {"ref": "sionek/tuning-model-by-pranav-lb-0-9703", "kernel_id": "830454"}, {"ref": "sionek/data-table2libffm-r", "kernel_id": "885137"}, {"ref": "gimunu/class-imbalance-improvements-by-split-and-penalty", "kernel_id": "751471"}, {"ref": "edzhang/time-gap-between-train-and-test", "kernel_id": "709291"}, {"ref": "xanderhorn/fraudulent-app-downloads-explore-and-model", "kernel_id": "715364"}, {"ref": "alexandrnikitin/efficient-xgboost-on-sparse-matrices", "kernel_id": "827851"}, {"ref": "alexandrnikitin/xgboost-hyperparameter-optimization", "kernel_id": "840884"}, {"ref": "alexandrnikitin/automated-feature-engineering", "kernel_id": "868178"}, {"ref": "tunguz/psst-wanna-blend-some-more", "kernel_id": "740707"}, {"ref": "tunguz/lgbm-starter-2", "kernel_id": "719591"}, {"ref": "tunguz/xgboost-starter", "kernel_id": "714029"}, {"ref": "am1to2/balanced-data-xgboost", "kernel_id": "829104"}, {"ref": "mintaeya/single-lgbm-lb-0-9692", "kernel_id": "803492"}, {"ref": "johnfarrell/tda-scatter-plots-with-8-sampled-data", "kernel_id": "831520"}, {"ref": "johnfarrell/tda-overlapping-sample-indexes-in-supplement", "kernel_id": "860744"}, {"ref": "johnfarrell/gpu-example-from-prepared-data-try-deepfm", "kernel_id": "823606"}, {"ref": "avanwyk/talkingdata-data-exploration-and-class-weights", "kernel_id": "873057"}, {"ref": "avanwyk/talkingdata-baseline-python-lightgbm", "kernel_id": "899538"}, {"ref": "rishikesh/combinatorial-lightgbm-model-py", "kernel_id": "977636"}, {"ref": "bytestorm/mean-field-approximation-of-joint-dist", "kernel_id": "721950"}, {"ref": "danieleewww/notebook-version-of-talkingdata-lightgbm-lb-0-9786", "kernel_id": "913520"}, {"ref": "danieleewww/if-you-run-on-entire-dataset-lb-0-9798", "kernel_id": "946962"}, {"ref": "danieleewww/more-kaggle-runnable-version-of-baris-kanber-s-lgb", "kernel_id": "884737"}, {"ref": "danieleewww/talkingdata-added-new-features-in-lightg-50cf9b", "kernel_id": "901517"}, {"ref": "ug2409/exploration-on-full-set-last-click-analysis", "kernel_id": "723905"}, {"ref": "a31314431/bayesian-optimization-lightgbm", "kernel_id": "892933"}, {"ref": "amitkumarjaiswal/lightgbm", "kernel_id": "745466"}, {"ref": "amitkumarjaiswal/talking-data-adtracking-fraud-detection", "kernel_id": "808461"}, {"ref": "amitkumarjaiswal/talkingdata-exploratory-data-analysis", "kernel_id": "915083"}, {"ref": "andymarsden100/getting-started", "kernel_id": "714190"}, {"ref": "rteja1113/lightgbm-with-latest-data", "kernel_id": "735164"}, {"ref": "rteja1113/lightgbm-with-count-features", "kernel_id": "734023"}, {"ref": "rteja1113/full-data-training-with-low-ram-support", "kernel_id": "759270"}, {"ref": "marcocarnini/baseline-model", "kernel_id": "763734"}, {"ref": "marcocarnini/feature-engineering-basic", "kernel_id": "764464"}, {"ref": "ogrellier/basic-predictions-using-target-encoding-on-app", "kernel_id": "876308"}, {"ref": "ogrellier/gradient-descent-on-averages", "kernel_id": "880898"}, {"ref": "ogrellier/sgd-using-averages-of-previous-chunk", "kernel_id": "884582"}, {"ref": "ogrellier/multi-process-ftrl", "kernel_id": "710816"}, {"ref": "phitotient/ad-tracking-notebook", "kernel_id": "949224"}, {"ref": "styles/basic-keras-starter-framework", "kernel_id": "877963"}, {"ref": "anokas/getting-fixed-test-data", "kernel_id": "709190"}, {"ref": "anokas/interpolated-means-btb", "kernel_id": "708312"}, {"ref": "anokas/talkingdata-adtracking-eda", "kernel_id": "708007"}, {"ref": "alexanderkireev/deep-learning-support-9663", "kernel_id": "744581"}, {"ref": "alexanderkireev/experiments-with-imbalance-nn-arch-9728", "kernel_id": "749612"}, {"ref": "shujian/mlp-starter", "kernel_id": "718276"}, {"ref": "shujian/rf-starter", "kernel_id": "707959"}, {"ref": "huyenvyvy/deep-learning-kernel-runnable-0-9760", "kernel_id": "935432"}, {"ref": "laevatein/lgb-trial", "kernel_id": "719167"}, {"ref": "paulorzp/talkingdata-wordbatch-fm-ftrl-only-day-9", "kernel_id": "834400"}, {"ref": "paulorzp/1liner-mean-app-device-os-0-94", "kernel_id": "708017"}, {"ref": "georsara1/95-auc-score-in-train-sample-with-neural-nets", "kernel_id": "708044"}, {"ref": "arthurlu/compare-features-between-training-and-testing-csv", "kernel_id": "827186"}, {"ref": "arthurlu/basic-analysis-of-training-sample", "kernel_id": "778667"}, {"ref": "arthurlu/select-samples-from-train-csv", "kernel_id": "784926"}, {"ref": "its7171/download-once-and-only-once", "kernel_id": "887936"}, {"ref": "its7171/ip-encoding-looks-ok-data-is-clean", "kernel_id": "774406"}, {"ref": "aakashkerawat/weighted-os-channel-with-app-channel-app-mean", "kernel_id": "709775"}, {"ref": "jihyeseo/binary-predict-unbalance-csv", "kernel_id": "958560"}, {"ref": "farazrahman/talking-data-interactive-eda-basic-randomforest", "kernel_id": "912752"}, {"ref": "tomekkorbak/lightgbm-experiments", "kernel_id": "824376"}, {"ref": "judata/talkingdata-xgb-param-tuning-rdm-sampling", "kernel_id": "939491"}, {"ref": "asydorchuk/nextclick-calculation-without-hashing-trick", "kernel_id": "892482"}, {"ref": "ranliu/wik-workshop-on-light-gbm-with-exercises", "kernel_id": "953821"}, {"ref": "ranliu/wik-workshop-on-light-bgm-with-answers", "kernel_id": "910152"}, {"ref": "gweijie/sample-eda", "kernel_id": "709189"}, {"ref": "valentinw/eda-of-the-whole-dataset", "kernel_id": "736435"}, {"ref": "valentinw/simple-lgbm", "kernel_id": "792171"}, {"ref": "valentinw/feature-engineering-apply-to-train", "kernel_id": "798098"}, {"ref": "valentinw/feature-engineering-apply-to-test", "kernel_id": "787608"}, {"ref": "valentinw/reducing-the-dataframe-size-by-55-in-few-seconds", "kernel_id": "771835"}, {"ref": "sohaibomar/adversarial-validation", "kernel_id": "782621"}, {"ref": "darthr2/conversion-prediction-addressing-for-fraud", "kernel_id": "909057"}, {"ref": "clientno23/getting-started", "kernel_id": "707991"}, {"ref": "clientno23/keras-implementation", "kernel_id": "711123"}, {"ref": "jasonchanjinan/chunk-learning-feature-engineering", "kernel_id": "903670"}, {"ref": "bobbykim31/talkingdata", "kernel_id": "719859"}, {"ref": "gowrishankarin/rnn-gru-4-layers-modified-nn-arch-of-kireev", "kernel_id": "802756"}, {"ref": "tyburam/talkingdataadtrackingfrauddetectionchallenge", "kernel_id": "809798"}, {"ref": "tyburam/talkingdataadtrackingfrauddetection-keras", "kernel_id": "867135"}, {"ref": "alesgb/genetic-target-encoding-counts-and-lag-search-etc", "kernel_id": "946815"}, {"ref": "alesgb/genetic-feature-engineering-and-evaluation", "kernel_id": "921924"}, {"ref": "gopisaran/ensemble-of-2-ensembles-lb-0-9696", "kernel_id": "758493"}, {"ref": "gopisaran/selection-bias-train-sample-18-m-recs-lb-0-9680", "kernel_id": "751560"}, {"ref": "gopisaran/adding-to-the-blender-lb-0-9690", "kernel_id": "751693"}, {"ref": "vchoubey/random-forest-mean-encoding-for-app-channel", "kernel_id": "710328"}, {"ref": "fursova/instant-downloads", "kernel_id": "764286"}, {"ref": "alexvonrass/how-to-get-0-5-public-auc", "kernel_id": "726642"}, {"ref": "aka7hs/talkingdata-using-h2o-automl-lb-0-94", "kernel_id": "834610"}, {"ref": "jeremytjordan/model-exploration-shallow-nn-with-embeddings", "kernel_id": "725056"}, {"ref": "vivekrmk/challenge-adtracking", "kernel_id": "792615"}, {"ref": "fizzbuzz/rank-averaging-on-talkingdata", "kernel_id": "744754"}, {"ref": "nanomathias/feature-engineering-importance-testing", "kernel_id": "759759"}, {"ref": "nanomathias/h2o-distributed-random-forest-starter", "kernel_id": "718345"}, {"ref": "nanomathias/bayesian-optimization-of-xgboost-lb-0-9769", "kernel_id": "864420"}, {"ref": "aloisiodn/lightgbm-tunned-0-9622", "kernel_id": "722930"}, {"ref": "aloisiodn/lgbm-starter-early-stopping-0-9539", "kernel_id": "716330"}, {"ref": "andersy005/talkingdata-adtracking-exploratory-data-analysis", "kernel_id": "714462"}, {"ref": "jiegzhan/adtracking-fraud-detection", "kernel_id": "710860"}, {"ref": "jiegzhan/xgboost-starter", "kernel_id": "730964"}, {"ref": "stevenknguyen/deep-learning-f1-score", "kernel_id": "745983"}, {"ref": "johnluo721/fork-of-fork-of-draft-1-20180411", "kernel_id": "849652"}, {"ref": "johnluo721/fork-of-draft-1-20180411", "kernel_id": "847737"}, {"ref": "byfone/catboost-for-adtracking-fdc", "kernel_id": "896553"}, {"ref": "cbrioso/talkingdata-wordbatch-lb-0-9772-prev-click", "kernel_id": "903973"}, {"ref": "wasprobot/random-forest-notebook-version", "kernel_id": "892810"}, {"ref": "badirlis/feature-engineering-and-classifier-comparison", "kernel_id": "951082"}, {"ref": "swethaboga/xgboost-approx-tree-method", "kernel_id": "736751"}, {"ref": "pranav84/lightgbm-fixing-unbalanced-data-lb-0-9680", "kernel_id": "722615"}, {"ref": "pranav84/double-xgb-hist-example-for-chunk-processing", "kernel_id": "725595"}, {"ref": "pranav84/talkingdata-with-breaking-bad-feature-engg", "kernel_id": "807350"}, {"ref": "pranav84/talkingdata-count-features-and-animations", "kernel_id": "820556"}, {"ref": "pranav84/single-xgboost-in-r-histogram-optimized-version", "kernel_id": "776865"}, {"ref": "pranav84/half-measures", "kernel_id": "764573"}, {"ref": "pranav84/talkingdata-eda-to-model-evaluation-lb-0-9683", "kernel_id": "754113"}, {"ref": "pranav84/hyper-parameter-optimization-with-grid-search", "kernel_id": "904582"}, {"ref": "pranav84/lightgbm-experiment-with-clara-algorithm", "kernel_id": "833852"}, {"ref": "pranav84/lgb-entire-dataset-in-2-hrs-lb-0-9718", "kernel_id": "860478"}, {"ref": "chubing/feature-engineering-and-xgboost", "kernel_id": "788588"}, {"ref": "shikhasomani/adtracking-frauddetection-random-forest", "kernel_id": "716700"}, {"ref": "ranjanabhay/adtracking-fraud-detection", "kernel_id": "954133"}, {"ref": "coronate/scoring-9702-blendmodel", "kernel_id": "844746"}, {"ref": "gpreda/talkingdata-adtracking-eda", "kernel_id": "826552"}, {"ref": "nuhsikander/lgbm-new-features-corrected", "kernel_id": "746653"}, {"ref": "caicell/sensitive-user", "kernel_id": "715119"}, {"ref": "konosp/adtracking-competition-random-forest-0-92-roc", "kernel_id": "878374"}, {"ref": "dspider/talkingdata-first-shot-with-xgboost", "kernel_id": "823668"}, {"ref": "robinchao/try-xgboosting", "kernel_id": "715720"}, {"ref": "maltonji/limiting-ram-usage-when-importing-data", "kernel_id": "711903"}, {"ref": "tetyanayatsenko/prepare-data-form-features-find-their-importance", "kernel_id": "801081"}, {"ref": "tetyanayatsenko/try-pranav-s-r-lgbm-in-python-small-add", "kernel_id": "811102"}, {"ref": "tetyanayatsenko/validate-pranav-lgb-model-small-add", "kernel_id": "809703"}, {"ref": "tetyanayatsenko/small-adition-to-single-lgbm-lb-0-9893", "kernel_id": "807524"}, {"ref": "puremath86/lgbm-new-features-corrected-v2", "kernel_id": "752649"}, {"ref": "puremath86/iv-woe-starter-for-python", "kernel_id": "811084"}, {"ref": "databrian/sample-competition-work", "kernel_id": "871100"}, {"ref": "liujilong/saving-training-time-show-over-fitting", "kernel_id": "903525"}, {"ref": "stecasasso/catboost-basic-feature-engineering-lb-0-9606", "kernel_id": "868914"}, {"ref": "nicapotato/alexey-s-lightgbm-nick-mod-0-9683", "kernel_id": "758041"}, {"ref": "jpnewmenji/fraud-detection-exploratory-data-analysis", "kernel_id": "759866"}, {"ref": "aharless/krishna-s-r-lgbm-with-time-deltas-partition-1", "kernel_id": "854080"}, {"ref": "aharless/krishna-s-r-lgbm-with-time-deltas-partition-2", "kernel_id": "855110"}, {"ref": "aharless/krishna-s-r-lgbm-with-time-deltas-partition-3", "kernel_id": "855118"}, {"ref": "aharless/validate-anttip-s-wordbatch-fm-ftrl-9752-version", "kernel_id": "854040"}, {"ref": "aharless/td-test-backward-time-deltas-as-csv", "kernel_id": "853962"}, {"ref": "aharless/anttip-s-wordbatch-fm-ftrl-9752-version", "kernel_id": "853917"}, {"ref": "aharless/td-backward-time-deltas-as-csv", "kernel_id": "853280"}, {"ref": "aharless/td-test-forward-time-deltas-as-csv", "kernel_id": "853815"}, {"ref": "aharless/bidirectional-talkingdata-test-time-deltas", "kernel_id": "853588"}, {"ref": "aharless/td-forward-time-deltas-as-csv", "kernel_id": "853563"}, {"ref": "aharless/validate-krishna-s-r-lgbm-with-time-deltas-part-1", "kernel_id": "858121"}, {"ref": "aharless/training-and-validation-forward-time-deltas", "kernel_id": "858151"}, {"ref": "aharless/td-forward-validation-deltas-as-csv", "kernel_id": "858200"}, {"ref": "aharless/krishna-s-r-lgbm-with-time-deltas-partition-4", "kernel_id": "855308"}, {"ref": "aharless/training-and-validation-backward-time-deltas", "kernel_id": "855612"}, {"ref": "aharless/new-talkingdata-gpu-example-with-multiple-runs", "kernel_id": "855220"}, {"ref": "aharless/validate-krishna-s-r-lgbm-with-time-deltas-part-2", "kernel_id": "858488"}, {"ref": "aharless/validate-krishna-s-r-lgbm-with-time-deltas-part-3", "kernel_id": "858490"}, {"ref": "aharless/validation-of-pas-un-m-lange", "kernel_id": "861714"}, {"ref": "aharless/kaggle-runnable-version-of-baris-kanber-s-lightgbm", "kernel_id": "870491"}, {"ref": "aharless/more-kaggle-runnable-version-of-baris-kanber-s-lgb", "kernel_id": "874077"}, {"ref": "aharless/weighted-lgb-validation-with-better-early-stopping", "kernel_id": "830193"}, {"ref": "aharless/new-preprocessed-subsamples-with-all-positives", "kernel_id": "834230"}, {"ref": "aharless/just-talkingdata-time-deltas", "kernel_id": "834429"}, {"ref": "aharless/new-preprocessed-train-subsamples-for-validation", "kernel_id": "834352"}, {"ref": "aharless/validate-anttip-s-wordbatch-fm-ftrl-9711-version", "kernel_id": "833521"}, {"ref": "aharless/anttip-s-wordbatch-fm-ftrl-9711-version", "kernel_id": "833266"}, {"ref": "aharless/bidirectional-talkingdata-time-deltas", "kernel_id": "849408"}, {"ref": "aharless/krishna-s-r-lgbm-partition-4", "kernel_id": "849374"}, {"ref": "aharless/krishna-s-r-lgbm-partition-1-original", "kernel_id": "849341"}, {"ref": "aharless/krishna-s-r-lgbm-partition-3", "kernel_id": "849292"}, {"ref": "aharless/krishna-s-r-lgbm-partition-2", "kernel_id": "846757"}, {"ref": "aharless/gpu-nn-validation-more-features", "kernel_id": "843358"}, {"ref": "aharless/simple-linear-stacking-with-ranks-lb-0-9760", "kernel_id": "842792"}, {"ref": "aharless/time-deltas-for-test-based-on-test-supplement", "kernel_id": "843066"}, {"ref": "aharless/simple-linear-stacking-lb-9730", "kernel_id": "803783"}, {"ref": "aharless/validate-anttip-s-wordbatch-fm-ftrl", "kernel_id": "803561"}, {"ref": "aharless/validate-pranav-lgb-model", "kernel_id": "802949"}, {"ref": "aharless/talkingdata-time-deltas", "kernel_id": "820273"}, {"ref": "aharless/talkingdata-gpu-example-from-prepared-data", "kernel_id": "821264"}, {"ref": "aharless/preprocessed-subsamples-including-all-positives", "kernel_id": "818406"}, {"ref": "aharless/talkingdata-gpu-example-with-multiple-runs", "kernel_id": "821759"}, {"ref": "aharless/preprocessed-train-subsamples-for-validation", "kernel_id": "824348"}, {"ref": "aharless/gpu-validation", "kernel_id": "824883"}, {"ref": "aharless/weighted-lgbm", "kernel_id": "828302"}, {"ref": "aharless/validation-of-kireev-style-nn", "kernel_id": "793796"}, {"ref": "aharless/pranav-s-r-lgbm-in-python-for-early-data", "kernel_id": "795837"}, {"ref": "aharless/validation-pickle-supplement", "kernel_id": "795588"}, {"ref": "aharless/two-clicks-in-both-train-and-test-supplement", "kernel_id": "795459"}, {"ref": "aharless/ordinals-by-ip", "kernel_id": "776190"}, {"ref": "aharless/anttip-s-wordbatch-fm-ftrl-9682-version", "kernel_id": "777364"}, {"ref": "aharless/try-pranav-s-r-lgbm-in-python", "kernel_id": "783331"}, {"ref": "aharless/smallification", "kernel_id": "761691"}, {"ref": "aharless/ceci-n-est-pas-un-m-lange", "kernel_id": "766899"}, {"ref": "aharless/pranav-s-r-lgb-with-more-rounds", "kernel_id": "765326"}, {"ref": "aharless/pranav-s-r-lgb-different-fit-period", "kernel_id": "766181"}, {"ref": "aharless/do-not-congratulate", "kernel_id": "755568"}, {"ref": "aharless/olivier-s-multi-process-ftrl-9619-version", "kernel_id": "757751"}, {"ref": "aharless/pranav-s-r-lightgbm-9683-version", "kernel_id": "757967"}, {"ref": "aharless/old-and-new-ips", "kernel_id": "749005"}, {"ref": "aharless/nooh-s-lgbm-new-features-corrected", "kernel_id": "750792"}, {"ref": "aharless/human-readable-date-time-compression", "kernel_id": "751524"}, {"ref": "aharless/nooh-s-lgbm-smaller", "kernel_id": "751173"}, {"ref": "aharless/alexander-kireev-s-imbalanced-dl", "kernel_id": "751820"}, {"ref": "aharless/variation-on-alexander-kireev-s-dl", "kernel_id": "773970"}, {"ref": "aharless/olivier-s-ftrl-9604-version", "kernel_id": "725670"}, {"ref": "aharless/just-tossing-stuff-in-the-blender", "kernel_id": "722926"}, {"ref": "aharless/shujian-s-mlp-starter-9502-version", "kernel_id": "724216"}, {"ref": "aharless/pranav-s-lightgbm-9631-version", "kernel_id": "724229"}, {"ref": "aharless/jo-o-s-xgboost-with-memory-usage-enhancements", "kernel_id": "731472"}, {"ref": "aharless/jo-o-s-xgboost-9610-version", "kernel_id": "730661"}, {"ref": "aharless/olivier-s-multi-process-ftrl-revised-9606-vesion", "kernel_id": "730687"}, {"ref": "aharless/lewis-undersampler-9562-version", "kernel_id": "727628"}, {"ref": "aharless/validation-of-ravi-s-lightgbm", "kernel_id": "738401"}, {"ref": "aharless/training-and-validation-data-pickle", "kernel_id": "738201"}, {"ref": "aharless/training-and-validation-data", "kernel_id": "735043"}, {"ref": "aharless/swetha-s-xgboost-revised", "kernel_id": "741360"}, {"ref": "aharless/training-validation-pickle-with-attributed-time", "kernel_id": "741103"}, {"ref": "aharless/validation-ravi-s-lightgbm-with-public-private", "kernel_id": "740271"}, {"ref": "aharless/validation-data-as-pandas-df", "kernel_id": "738690"}, {"ref": "aharless/predicting-with-just-ip-ranges-as-coded", "kernel_id": "745980"}, {"ref": "aharless/alexander-kireev-s-dl", "kernel_id": "745786"}, {"ref": "aharless/lightgbm-smaller", "kernel_id": "743737"}, {"ref": "blasteraj/simple-linear-stacking-lb-9730", "kernel_id": "841034"}, {"ref": "gpradk/keras-starter-nn-with-embeddings", "kernel_id": "725468"}, {"ref": "maheshak04/simple-averaging", "kernel_id": "927574"}, {"ref": "anushah1411/talkingdata-adtracking-fraud-detection", "kernel_id": "755229"}, {"ref": "jingqliu/nn-with-word2vec-large-embeddings", "kernel_id": "897177"}, {"ref": "jingqliu/xgboost-nn-on-small-sample-with-word2vec", "kernel_id": "878673"}, {"ref": "charlesxin0302/lgb-on-binarizer-all-category-variables", "kernel_id": "714729"}, {"ref": "charlesxin0302/lgb-on-binarize-all-category-variables", "kernel_id": "719601"}, {"ref": "charlesxin0302/psst-wanna-blend-some-more-and-more", "kernel_id": "764112"}, {"ref": "ianchute/naive-bayes-model-on-eight-basic-features", "kernel_id": "889771"}, {"ref": "tdesfont/experimental-tensorflow-neuralnet-on-large-dataset", "kernel_id": "922220"}, {"ref": "ricardotrindade/my-attempt-at-keras-talking-data-fraud", "kernel_id": "748454"}, {"ref": "nathanlauga/exploratory-analysis-with-visualizations", "kernel_id": "729982"}, {"ref": "ckenlam/talkingdata-retry", "kernel_id": "858394"}, {"ref": "bk0000/non-blending-lightgbm-model-lb-0-977", "kernel_id": "864928"}, {"ref": "baomengjiao/less-data-and-higher-score", "kernel_id": "802700"}, {"ref": "baomengjiao/embedding-with-neural-network", "kernel_id": "708366"}, {"ref": "h123453047/browse-data-and-find-important-parameters-update", "kernel_id": "717614"}, {"ref": "twoone/first-result", "kernel_id": "822944"}, {"ref": "gagandeep16/ad-tracking-fraud-detection-machine-learning", "kernel_id": "718121"}, {"ref": "wesamelshamy/click-farm-features-oversampling-lgbm", "kernel_id": "910345"}, {"ref": "alexfir/minimizing-submission", "kernel_id": "780185"}, {"ref": "alexfir/mapping-between-test-supplement-csv-and-test-csv", "kernel_id": "744361"}, {"ref": "cswtoby/kernele669204513", "kernel_id": "727002"}, {"ref": "samratp/talkingdata-basic-eda-using-sqlite-full-data", "kernel_id": "773579"}, {"ref": "joaopmpeinado/talkingdata-xgboost-lb-0-966", "kernel_id": "708707"}, {"ref": "shep312/single-generalised-lightgbm-lb-0-9686", "kernel_id": "813599"}, {"ref": "alex5009/kernel715d04d507", "kernel_id": "758271"}, {"ref": "merckel/anomaly-detection-using-tensorflow", "kernel_id": "740558"}, {"ref": "merckel/diabolo-network-and-deep-features", "kernel_id": "720294"}, {"ref": "lperez/no-ram-fast-feature-engineering-with-big-query", "kernel_id": "956209"}, {"ref": "limonm/talkingdata", "kernel_id": "709561"}, {"ref": "kabure/eda-feat-engineering-with-xgboosting", "kernel_id": "897119"}, {"ref": "mapodoufu/baseline-the-channel-is-important-for-download", "kernel_id": "708451"}, {"ref": "swamysm/fraud-detection-by-random-forest-dt-and-svm", "kernel_id": "756939"}, {"ref": "cgundlach/lgbm-single-model-lb-9791", "kernel_id": "892485"}, {"ref": "venkatesh8222/duplicate-clicks-with-different-target-values", "kernel_id": "824074"}, {"ref": "yufengdata/dirty-xgboost-sample-balancing", "kernel_id": "708397"}, {"ref": "iamprateek/detecting-the-user-click-as-fraud-or-not", "kernel_id": "709294"}, {"ref": "shotashimizu/talkingdata-eda-to-model-evaluation-lb-3f2ca8", "kernel_id": "894723"}, {"ref": "codeastar/random-forest-classification-on-talkingdata", "kernel_id": "908400"}, {"ref": "yuliagm/be-careful-about-ips-as-a-signal", "kernel_id": "751579"}, {"ref": "yuliagm/talkingdata-eda-plus-time-patterns", "kernel_id": "714856"}, {"ref": "yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask", "kernel_id": "725305"}, {"ref": "yuliagm/feature-engineering-idea-generator-numeric", "kernel_id": "923738"}, {"ref": "k872892/simple-linear-stacking-lb-9730-fa924d", "kernel_id": "838018"}, {"ref": "wolfgangb33r/simple-talkingdata-prediction-xgboost", "kernel_id": "724979"}, {"ref": "wenjiebai/if-you-run-on-entire-dataset-lb-0-9798", "kernel_id": "945677"}, {"ref": "bsivavenu/simple-eda-on-talkingdata", "kernel_id": "752075"}, {"ref": "yskn67/difference-between-train-and-test", "kernel_id": "710630"}, {"ref": "mongxmongx2/kernel17ded40a0a", "kernel_id": "739576"}, {"ref": "panjianning/talkingdata-simple-lightgbm-0-9772", "kernel_id": "860755"}, {"ref": "araksstepanyan/feature-distributions-10mm-row-train-set", "kernel_id": "768106"}, {"ref": "zainatappslab/fraud-detection", "kernel_id": "726329"}, {"ref": "aroragaurav/single-model-by-pranav-hitting-0-9701", "kernel_id": "824367"}, {"ref": "prashantkikani/talkingdata-simple-blend", "kernel_id": "748341"}, {"ref": "prashantkikani/weighted-app-chanel-os", "kernel_id": "715730"}, {"ref": "prashantkikani/talk-kaggle-runnable-lgb", "kernel_id": "875358"}, {"ref": "mohasaid89/lgbm-train-on-day-10-test-on-day-9", "kernel_id": "833728"}, {"ref": "marcelotamashiro/lgb-87mil-rows-for-training", "kernel_id": "952962"}, {"ref": "vanaml/adtracking-lgbm", "kernel_id": "954894"}, {"ref": "vanaml/adtracking-challenge", "kernel_id": "954764"}, {"ref": "skalskip/this-is-how-i-make-my-validation-set", "kernel_id": "802994"}, {"ref": "clarencecastillo/visualize-to-get-feature-engineering-inspiration", "kernel_id": "763019"}, {"ref": "propanon/talkingdata-time-deltas-for-test", "kernel_id": "832454"}, {"ref": "propanon/simple-mix-lb-09780-sub-log", "kernel_id": "888206"}, {"ref": "mirekphd/libraries-load-test-3", "kernel_id": "757295"}, {"ref": "mirekphd/libraries-load-test-1", "kernel_id": "757223"}, {"ref": "mirekphd/libraries-load-test-2", "kernel_id": "757287"}, {"ref": "mirekphd/libraries-load-test-4", "kernel_id": "757305"}, {"ref": "mirekphd/libraries-load-test-5", "kernel_id": "757318"}, {"ref": "mirekphd/list-all-python-libraries-in-kaggle-kernels", "kernel_id": "861952"}, {"ref": "mirekphd/list-all-r-libraries-in-kaggle-kernels", "kernel_id": "867904"}, {"ref": "ymahendr/feature-eng-rose-model-with-99-acc", "kernel_id": "946591"}, {"ref": "docxian/talkingdata-download-sample-as-r-file", "kernel_id": "711134"}, {"ref": "nicodds/ftrl-with-poor-man-s-random-oversampling", "kernel_id": "917705"}, {"ref": "xuebai1990/genetic-algorithm-to-remove-features-deap", "kernel_id": "906401"}, {"ref": "xinlian1201/ip-address-and-click-times-eda", "kernel_id": "751377"}, {"ref": "sanjeet41/talkingdata-adtracking-fraud-detection", "kernel_id": "837380"}, {"ref": "sanjeet41/fork-of-talkingdata-adtracking-fraud-detection", "kernel_id": "953185"}, {"ref": "thepathofd/naive-merge-test-and-test-supplement", "kernel_id": "744152"}, {"ref": "thepathofd/8th-as-train-data-9th-as-test-data", "kernel_id": "846571"}, {"ref": "thepathofd/something-fishy-in-the-test-set", "kernel_id": "869577"}, {"ref": "thepathofd/duplicates-analysis", "kernel_id": "948628"}, {"ref": "thepathofd/parquet-file-for-the-8th-and-9th-afternoons", "kernel_id": "944738"}, {"ref": "neerjad/non-blending-lightgbm-model-lb-0-977", "kernel_id": "866831"}, {"ref": "azzion/talkingdata-fraud-detection-challenge", "kernel_id": "735939"}, {"ref": "zahoorahmad/random-forest-mean-encoding-for-app-channel", "kernel_id": "759320"}, {"ref": "submarineering/submarineering-average", "kernel_id": "753241"}, {"ref": "kunjanvyas/balanced-data-svm-linear-regression-random-forest", "kernel_id": "739273"}, {"ref": "zhixing629/lightgbm-fixing-unbalanced-data", "kernel_id": "832543"}, {"ref": "temibabs/talkingdata-naivebayes", "kernel_id": "949073"}, {"ref": "temibabs/repeated-gboost", "kernel_id": "911584"}, {"ref": "sergeyzlobin/wanna-blend", "kernel_id": "737884"}, {"ref": "junyawatanabe/over-view-dataset", "kernel_id": "833646"}, {"ref": "graf10a/lightgbm-lb-0-9675", "kernel_id": "743483"}, {"ref": "graf10a/csv-pickles-day-hours-rows-info", "kernel_id": "768456"}, {"ref": "graf10a/pranav-s-lgbm-lb-0-9699", "kernel_id": "818450"}, {"ref": "graf10a/krishna-s-lgbm-in-python", "kernel_id": "862726"}, {"ref": "h54k3y/two-stage-grouping", "kernel_id": "709483"}, {"ref": "tommao/kernel7924615e9e", "kernel_id": "771415"}, {"ref": "pkhomchuk/artifacts-in-the-training-data", "kernel_id": "830233"}, {"ref": "tapioca/weird-pattern-of-download-delay-time", "kernel_id": "929122"}, {"ref": "asraful70/talkingdata-xgboost-implementation", "kernel_id": "909140"}, {"ref": "asraful70/notebook-version-of-talkingdata-lb-0-9786", "kernel_id": "892905"}, {"ref": "asraful70/talkingdata-added-new-features-in-lightgbm", "kernel_id": "884885"}, {"ref": "asraful70/feature-engineering-of-talkingdata-with-lightgbm", "kernel_id": "877882"}, {"ref": "aishanhang/lightgbm-second", "kernel_id": "732679"}, {"ref": "aishanhang/xgboost-3-13", "kernel_id": "728751"}, {"ref": "aishanhang/fraud-optimation-3-10", "kernel_id": "714756"}, {"ref": "aishanhang/fraud-gbdt", "kernel_id": "726779"}, {"ref": "aminul01/ensemble-of-multiple-submission-files", "kernel_id": "743435"}, {"ref": "blastchar/talkingdata-h2o", "kernel_id": "816192"}, {"ref": "blastchar/fork-of-talkingdata-h2o-improve-2", "kernel_id": "860781"}, {"ref": "blastchar/talkingdata-h2o-improve", "kernel_id": "848521"}, {"ref": "blastchar/talkingdata-h2o-need-something-else", "kernel_id": "876203"}, {"ref": "tomide/high-accuracy-using-simple-dnn", "kernel_id": "958007"}, {"ref": "zhaytam/tafd-challenge-beginner-eda", "kernel_id": "935787"}, {"ref": "antmarakis/calculating-and-plotting-auc-score", "kernel_id": "799298"}, {"ref": "antmarakis/random-forest-base-validation", "kernel_id": "803892"}, {"ref": "antmarakis/deep-learning-approach-validation-lb-0-9684", "kernel_id": "861449"}, {"ref": "hugobarreto94/kaggle-contest-talkingdata-adtracking-eda", "kernel_id": "809201"}, {"ref": "hugobarreto94/generate-train-20kk-random-lines", "kernel_id": "951267"}, {"ref": "hugobarreto94/the-script-train-20kk-random-generated", "kernel_id": "951321"}, {"ref": "theexpertahmeed/kernelf2bec992d4-94466c", "kernel_id": "904327"}, {"ref": "bharadwaj221/talking-data-det", "kernel_id": "828737"}, {"ref": "chocozzz/lightgbm-parameter-tuning", "kernel_id": "939897"}, {"ref": "shangkeyun/exploration-and-modelling", "kernel_id": "767358"}, {"ref": "hisuhyeona/jara-version-nn-imbalanced-talking-data", "kernel_id": "912045"}, {"ref": "umeshsati54/log-and-harmonic-mean-lets-go", "kernel_id": "917575"}, {"ref": "datatator2/downsample-one-hot-encoding-xgboost-2", "kernel_id": "842062"}, {"ref": "zjfhouhouhou/my-model-lb-0-9692", "kernel_id": "813002"}, {"ref": "neversettttttle/overview-and-discussion-of-brilliant-kernels", "kernel_id": "848024"}, {"ref": "princeatul/shrinking-the-data-using-py3-on-4-or-8-gb-laptop", "kernel_id": "730284"}, {"ref": "ildara/fork-of-initial-ide", "kernel_id": "731100"}, {"ref": "raulguarini/timed-rf", "kernel_id": "948977"}, {"ref": "trian2018/understand-competition-metric-auc-probabilities", "kernel_id": "894168"}, {"ref": "hanameister/kernel8b68f7744b", "kernel_id": "883732"}, {"ref": "naina04/indepth-eda-entire-talkingdata-dataset", "kernel_id": "879743"}, {"ref": "ellunium/keras-model-with-dummy-variables", "kernel_id": "948673"}, {"ref": "pvc8661/eda-and-feature-engineering-using-selectkbest-and", "kernel_id": "850975"}, {"ref": "zapzzz/fun-with-dask", "kernel_id": "949105"}, {"ref": "fatemamahmoud/my-sub4", "kernel_id": "962530"}, {"ref": "andreikhropov/krishna-s-lgbm-to-catboost-undrsmpl-1-1", "kernel_id": "898230"}, {"ref": "mohamedeltair/tair95", "kernel_id": "894810"}, {"ref": "duanenyue/more-kaggle-runnable-version-of-baris-kanber-s-lgb", "kernel_id": "884435"}, {"ref": "ahmedsalah196/second-submission", "kernel_id": "949453"}, {"ref": "josephpope/talkingdata-classification", "kernel_id": "1339340"}, {"ref": "isaranja/talkingdata-rnn-embedding", "kernel_id": "1144945"}, {"ref": "jeonghunyoon/xgboost-and-crammer-v-stats", "kernel_id": "1092907"}, {"ref": "kylingu/talkingdata-adtracking-learning", "kernel_id": "1187671"}, {"ref": "zahoorahmad/talkingdata-visualization-and-prediction", "kernel_id": "1529147"}, {"ref": "pollenjp/kernel4a11dd87e8", "kernel_id": "1033094"}, {"ref": "boomberung/click-explorational-lightgbm", "kernel_id": "1936927"}, {"ref": "chengzhong9203/deepfm", "kernel_id": "1246866"}, {"ref": "gustavliu/double-xgb-hist-example-for-chunk-processing", "kernel_id": "1272222"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "dkomlen/talkingdata-adtracking-fraud-detection", "kernel_id": "2675582"}, {"ref": "geek010/fraud-detection", "kernel_id": "2482166"}, {"ref": "shivamsarawagi/adfrauddetection", "kernel_id": "2556109"}, {"ref": "franco12/timestamp-with-sin-and-cosine", "kernel_id": "3044928"}, {"ref": "chhayac/improved-roc-using-downsampling", "kernel_id": "3926728"}, {"ref": "shyampatibandla/talkingdata-adtracking-frauddetection-xgboost", "kernel_id": "3426835"}, {"ref": "rsindh/kernel83a090ff4f", "kernel_id": "3403589"}, {"ref": "yuriarthf/talkingdata-adtracking-fraud-detection-challenge", "kernel_id": "3367644"}, {"ref": "imotai/talkingdata-eda-plus-time-patterns", "kernel_id": "3383267"}, {"ref": "haataa/eda-of-talkingdata-adtracking-fraud", "kernel_id": "4622832"}, {"ref": "odesk5/typing-practice-1-working-with-big-data", "kernel_id": "4863010"}, {"ref": "sakshi13/kernel747269de78", "kernel_id": "5773355"}, {"ref": "kraishwary/talkingdata-adtracking-eda", "kernel_id": "5758019"}, {"ref": "hemantdata/stacking", "kernel_id": "5348429"}, {"ref": "atashnezhad/ann-and-talking-data-fraud-detection", "kernel_id": "6925826"}, {"ref": "atashnezhad/knn-means-clustering-model", "kernel_id": "6547123"}, {"ref": "atashnezhad/fraud-detection", "kernel_id": "6207294"}, {"ref": "ramanchandra/handling-imbalanced-datasets", "kernel_id": "6800918"}, {"ref": "fangkun119/competition-talkingdata-adtracking-frauddetection", "kernel_id": "6287117"}, {"ref": "atashnezhad/xgboost-hyperparameters-and-ai", "kernel_id": "7599892"}, {"ref": "shakeebbk/talkingdata-adtracking-fraud-detection", "kernel_id": "7697403"}, {"ref": "caesarlupum/simple-eda-talkingdata-adtracking", "kernel_id": "7933780"}, {"ref": "manthra16695/kernel3c609f4756", "kernel_id": "7346833"}, {"ref": "atashnezhad/fork-of-xgboost-hyperparameters-and-ai", "kernel_id": "8275322"}, {"ref": "baktisiregar/contoh-penelitian-dengan-r-analisis-klustering", "kernel_id": "8795859"}, {"ref": "solyoh21/alexander-kireev-s-dl", "kernel_id": "8793303"}, {"ref": "daman1807/talkingdata-deeplearning", "kernel_id": "9708590"}, {"ref": "abisheksrivastav/lightgbm-fixing-unbalanced-data", "kernel_id": "9412148"}, {"ref": "jessicacc/talkingdata-lightgbm", "kernel_id": "9139735"}, {"ref": "awalafortune/talkingdata-eda-and-class-imbalance", "kernel_id": "9942938"}, {"ref": "shdixit25/capstoneproject", "kernel_id": "9569925"}, {"ref": "aditya48/fraud-detection-feature-eng-lightgbm", "kernel_id": "10699621"}, {"ref": "axylos/fraudad-detection", "kernel_id": "10761882"}, {"ref": "rogersampaio/processo-completo-de-ds", "kernel_id": "10228857"}, {"ref": "venkateshthota/talkingdata", "kernel_id": "10698160"}, {"ref": "awalafortune/fork-of-talkingdata-eda-and-class-imbalance", "kernel_id": "10041599"}, {"ref": "longtv/talkingdata-eda", "kernel_id": "11591612"}, {"ref": "ahmedshaykhon/predict-the-is-app-will-be-installed-or-not", "kernel_id": "11582082"}, {"ref": "victorshutov/kernel5b3ca39d19", "kernel_id": "11035083"}, {"ref": "georgezoto/talkingdata-adtracking-comp-feature-generation", "kernel_id": "12672713"}, {"ref": "georgezoto/talkingdata-adtracking-dask-ml-dl", "kernel_id": "12676407"}, {"ref": "georgezoto/talkingdata-adtracking-comp-feature-selection", "kernel_id": "12675013"}, {"ref": "georgezoto/talkingdata-adtracking-competition-baseline-model", "kernel_id": "12598493"}, {"ref": "georgezoto/talkingdata-adtracking-comp-categorical-encoding", "kernel_id": "12602414"}, {"ref": "georgezoto/feature-engineering-baseline-model", "kernel_id": "12596877"}, {"ref": "dcpatton/td-fraud-detector-nn", "kernel_id": "12612721"}, {"ref": "ralissonaraujo/rar-talkingdata-01", "kernel_id": "12320652"}, {"ref": "abhishektyagi001/talkingdata-adtracking-fraud-detection", "kernel_id": "13205161"}, {"ref": "danofer/deep-learning-talkingdata-fork", "kernel_id": "15133881"}, {"ref": "guylouzon/adtracking-click-for-app-classifcation", "kernel_id": "16499119"}, {"ref": "sangmeshkanaje/notebookdfa1163e2a", "kernel_id": "17820028"}, {"ref": "yliu3308/talkingdata-wdt-ce", "kernel_id": "17177494"}, {"ref": "ngreloaded/dmbi-group", "kernel_id": "19461070"}, {"ref": "ngreloaded/dmbi-project", "kernel_id": "19473444"}, {"ref": "thelayman/dmbi-model", "kernel_id": "19489498"}, {"ref": "thelayman/dmbi-preprocessing-final", "kernel_id": "19463349"}, {"ref": "geochatz/talkingdata-fraud-detection-with-tensorflow", "kernel_id": "21614114"}, {"ref": "prasannathigale/talking-data", "kernel_id": "21092171"}, {"ref": "ambisinistra/eda-for-cta-competition", "kernel_id": "23387293"}, {"ref": "kavita5/adaboosting-and-xgboosting-on-decision-tree", "kernel_id": "23700979"}, {"ref": "varaujo1991/mytalkingdata-dsa", "kernel_id": "23395163"}, {"ref": "danielvolchegursky/ad-fraud-baseline", "kernel_id": "23393772"}, {"ref": "phrbmr/dsa-projeto-01-detec-o-de-fraudes", "kernel_id": "24082664"}, {"ref": "srinivasasowmiyanr/fraud-detection-feature-eng-lightgbm-28bb89", "kernel_id": "26501780"}, {"ref": "raimondomelis/preprocessing-of-data-in-chunks-right-way", "kernel_id": "30735901"}, {"ref": "xiefei/04talkingdata", "kernel_id": "31590168"}, {"ref": "raimondomelis/preprocessing-in-chunks-with-gpu-p100-vs-t4-x2", "kernel_id": "32228937"}, {"ref": "omrathi6/how-to-work-with-big-datasets-on-srm", "kernel_id": "38522840"}, {"ref": "amitanshjoshi/adtracking", "kernel_id": "39157903"}, {"ref": "abdulkarimab/talkingdata-adtracking", "kernel_id": "39826535"}, {"ref": "ranitsarkar01/talkingdata-fraudulent-click-prediction", "kernel_id": "40360115"}, {"ref": "abdulkarimab/talkingdata-adtracking-fraud-detection", "kernel_id": "41553594"}, {"ref": "seemabiradar/random-forest-mean-encoding-for-app-channel", "kernel_id": "42464067"}, {"ref": "thnhdngnht/dnt-click-fraud", "kernel_id": "51527065"}, {"ref": "uyentk/competition-talkingdata-adtracking-frauddetection", "kernel_id": "51608498"}, {"ref": "trphnganh/comparefeatureeng", "kernel_id": "52756600"}, {"ref": "ngocanhle070803/ad-click-fraud-output-tu-n-6", "kernel_id": "52483051"}, {"ref": "daniellamonica88/minmaxscaler", "kernel_id": "52827830"}, {"ref": "tranhuonglan/dnt-click-fraud", "kernel_id": "52291011"}, {"ref": "khatutran/talking-data-fe-vldt-set", "kernel_id": "53926741"}, {"ref": "trphnganh/ad-click-fraud-output-tu-n-6", "kernel_id": "53334617"}, {"ref": "uyentk/talking-data-training-process-1", "kernel_id": "53931690"}, {"ref": "ngocanhle070803/smote", "kernel_id": "55630635"}, {"ref": "sujalvaidya/talkingdata-adtracking-fraud-detection-003bd5", "kernel_id": "55156376"}, {"ref": "daniellamonica88/th4df", "kernel_id": "55580835"}, {"ref": "daniellamonica88/th2-lda-sm", "kernel_id": "55518850"}, {"ref": "daniellamonica88/th2-dd", "kernel_id": "55521484"}, {"ref": "daniellamonica88/th3-20", "kernel_id": "55521346"}, {"ref": "daniellamonica88/25-mvp", "kernel_id": "55659894"}, {"ref": "daniellamonica88/dasktalking-adfd67", "kernel_id": "55334111"}, {"ref": "daniellamonica88/notebook3ca4b40151", "kernel_id": "55335023"}, {"ref": "daniellamonica88/notebook19b069006b", "kernel_id": "55334845"}, {"ref": "daniellamonica88/dasktalking", "kernel_id": "55317084"}, {"ref": "daniellamonica88/dasktalking-16eac4", "kernel_id": "55884493"}, {"ref": "daniellamonica88/th2-3", "kernel_id": "55888820"}, {"ref": "thnhdngnht/test-talking-data", "kernel_id": "58432783"}, {"ref": "trphnganh/tuninglightgbm01", "kernel_id": "58570772"}, {"ref": "trphnganh/test-talking-data-baseline-models", "kernel_id": "58544518"}, {"ref": "ngocanhle070803/gbtree", "kernel_id": "58546457"}, {"ref": "daniellamonica88/tune-ada", "kernel_id": "58546635"}, {"ref": "daniellamonica88/tune-cat", "kernel_id": "58547808"}, {"ref": "daniellamonica88/tune-xgb", "kernel_id": "58501092"}, {"ref": "tranhuonglan/test-talking-data", "kernel_id": "58531111"}, {"ref": "gongch/tune-cat", "kernel_id": "58552608"}, {"ref": "ngocanh78731312/crazy-chipmunk-preprocessing-modelling", "kernel_id": "66873956"}, {"ref": "zyh1104/001-talkingdata", "kernel_id": "70833793"}, {"ref": "tenghewang/04talkingdata", "kernel_id": "76813716"}, {"ref": "hngpahn/parallelized-gradient-boosting-with-lightgbm-on-la", "kernel_id": "103956345"}, {"ref": "evgendvorkin/talkingdata-adtracking-2", "kernel_id": "106208586"}, {"ref": "syam574/notebook62e261eaeb", "kernel_id": "111255031"}, {"ref": "ngtngha/bmtmdt2", "kernel_id": "123388260"}, {"ref": "trnngclananh/notebook8f4bbaeefe", "kernel_id": "123371440"}, {"ref": "mmytrahuynh22/b-y-ki-n", "kernel_id": "123979907"}, {"ref": "ngtngha/b-y-ki-n-f1", "kernel_id": "124991214"}, {"ref": "hoaian511/b-y-ki-n", "kernel_id": "124476303"}, {"ref": "trnngclananh/b-y-ki-n", "kernel_id": "125022655"}, {"ref": "hoaian511/ch-nh-s-a-cu-i-c-ng", "kernel_id": "125265544"}, {"ref": "justleet/adtrackingfraud", "kernel_id": "127026059"}]}
{"competition_id": "8563", "kernels": []}
{"competition_id": "8564", "kernels": []}
{"competition_id": "8569", "kernels": []}
{"competition_id": "8573", "kernels": []}
{"competition_id": "8578", "kernels": []}
{"competition_id": "8582", "kernels": []}
{"competition_id": "8586", "kernels": [{"ref": "konradb/xgb-text2vec-tfidf-clone-lb-0-226", "kernel_id": "926204"}, {"ref": "iamivo/character-fun", "kernel_id": "957772"}, {"ref": "leadbest/xgb-classification", "kernel_id": "968204"}, {"ref": "vykhand/idear-for-avito-demand-forecasting", "kernel_id": "970169"}, {"ref": "sudalairajkumar/simple-exploration-baseline-notebook-avito", "kernel_id": "901555"}, {"ref": "kailex/xgb-text2vec-tfidf-0-2237", "kernel_id": "922387"}, {"ref": "ambarish/eda-xgb-avito", "kernel_id": "902109"}, {"ref": "danofer/simple-catboost-fork", "kernel_id": "926904"}, {"ref": "danofer/minimal-preproc-mean-aggregate-encoding-features", "kernel_id": "902853"}, {"ref": "inenakhov/simple-catboost-tfidf", "kernel_id": "928889"}, {"ref": "zahedi/first-blend-0-229", "kernel_id": "909468"}, {"ref": "peterhurford/image-feature-engineering", "kernel_id": "955644"}, {"ref": "peterhurford/boosting-mlp-lb-0-2297", "kernel_id": "953749"}, {"ref": "kuniyoshit/simple-lightgbm-vgg16-image-tfidf-text", "kernel_id": "969670"}, {"ref": "bguberfain/vgg16-train-features", "kernel_id": "919875"}, {"ref": "bguberfain/vgg16-test-features", "kernel_id": "921909"}, {"ref": "bguberfain/naive-lgb-with-text-images", "kernel_id": "921923"}, {"ref": "scirpus/beat-the-benchmark", "kernel_id": "965086"}, {"ref": "gidutz/text2score-keras-rnn-word-embedding", "kernel_id": "943946"}, {"ref": "naikankita/create-numpy-array-for-processing-images", "kernel_id": "920401"}, {"ref": "tezdhar/map-ad-durations", "kernel_id": "971229"}, {"ref": "enfeizhan/does-missing-price-mean-price-negotiable", "kernel_id": "903189"}, {"ref": "amhchiu/reading-image-files-in-r", "kernel_id": "929267"}, {"ref": "axelstram/category-name-mean", "kernel_id": "909390"}, {"ref": "hakeem/mean-benchmark", "kernel_id": "901430"}, {"ref": "jpmiller/open-images-eda", "kernel_id": "905229"}, {"ref": "jpmiller/exploring-geography-for-1-5m-deals", "kernel_id": "938513"}, {"ref": "legorreta/python-version-xgb-text2vec-tfidf-lb-0-226", "kernel_id": "935493"}, {"ref": "legorreta/lightgbm-text-tfidf-bl", "kernel_id": "964722"}, {"ref": "legorreta/ridge-model", "kernel_id": "963072"}, {"ref": "naveenkb/eda-with-python-library-bokeh", "kernel_id": "906201"}, {"ref": "tunguz/bow-meta-text-and-dense-features-lb-0-2241", "kernel_id": "945611"}, {"ref": "tunguz/xgb-text2vec-tfidf-clone-of-clone-lb-0-2256", "kernel_id": "932295"}, {"ref": "rahulvks/term-frequency-character-word-level-features", "kernel_id": "908653"}, {"ref": "johnfarrell/adp-pytorch-textcnn-dev", "kernel_id": "972244"}, {"ref": "johnfarrell/adp-mixed-nn-rush", "kernel_id": "982073"}, {"ref": "danieleewww/xgb-text2vec-tfidf-0-2243", "kernel_id": "974238"}, {"ref": "danieleewww/bow-meta-text-and-dense-features-lb-0-2242", "kernel_id": "976141"}, {"ref": "danieleewww/lightgbm-with-ridge-feature", "kernel_id": "980177"}, {"ref": "amitkumarjaiswal/in-depth-eda-feature-engineering", "kernel_id": "965717"}, {"ref": "amitkumarjaiswal/avito-preprocessing-text", "kernel_id": "975088"}, {"ref": "amitkumarjaiswal/avito-eda", "kernel_id": "912549"}, {"ref": "gunnvant/russian-to-english-translate-with-progress-bar", "kernel_id": "925310"}, {"ref": "gunnvant/russian-word-embeddings-for-fun-and-for-profit", "kernel_id": "928046"}, {"ref": "deeiip/simplest-xgb-without-description-or-title-0-2377", "kernel_id": "938008"}, {"ref": "shujian/avito-rf-starter", "kernel_id": "901580"}, {"ref": "shujian/avito-lightgbm-starter", "kernel_id": "902036"}, {"ref": "pedroschoen/analysis-of-date-variables", "kernel_id": "931678"}, {"ref": "paulorzp/tfidf-tensor-starter-lb-0-233", "kernel_id": "942709"}, {"ref": "sneddy/fast-low-memory-learning-part-1-vowpalwabbit", "kernel_id": "960735"}, {"ref": "cczaixian/test-on-lb-split", "kernel_id": "959009"}, {"ref": "rexhaif/lightgbm-for-avito", "kernel_id": "903550"}, {"ref": "ranliu/xgb-lgb-with-group-text-vgg-image-features", "kernel_id": "939899"}, {"ref": "mbkinaci/detailed-univariate-analysis-with-pandas", "kernel_id": "905034"}, {"ref": "frankherfert/tips-tricks-for-working-with-large-datasets", "kernel_id": "983732"}, {"ref": "frankherfert/region-and-city-details-with-lat-lon-and-clusters", "kernel_id": "996232"}, {"ref": "iggisv9t/handling-russian-language-inflectional-structure", "kernel_id": "903660"}, {"ref": "pamin2222/lgb-baseline-v23-script-add-text-feature", "kernel_id": "921806"}, {"ref": "sujoyde/avito-demand-prediction-exploration", "kernel_id": "998547"}, {"ref": "cbrioso/extract-image-features-test-using-dask", "kernel_id": "970087"}, {"ref": "artgor/eda-features-engineering-and-lightgbm", "kernel_id": "903667"}, {"ref": "pragadesh06/eda-feature-engineering-and-base-ml-model", "kernel_id": "905591"}, {"ref": "alxmamaev/how-to-easy-preprocess-russian-text", "kernel_id": "943443"}, {"ref": "classtag/extract-avito-image-features-via-keras-vgg16", "kernel_id": "904178"}, {"ref": "classtag/russian-nlp-in-avito-demand-prediction", "kernel_id": "902860"}, {"ref": "classtag/lightgbm-with-mean-encode-feature-0-233", "kernel_id": "901603"}, {"ref": "classtag/cat2vec-powerful-feature-for-categorical", "kernel_id": "966192"}, {"ref": "classtag/avito-word2vec-with-all-dataset-text", "kernel_id": "982014"}, {"ref": "classtag/take-care-of-emoji-character-when-nlp", "kernel_id": "998942"}, {"ref": "slickwilly/simple-catboost-in-r", "kernel_id": "909507"}, {"ref": "slickwilly/xgb-text2vec-tfidf-clone-of-clone-of-clone", "kernel_id": "939563"}, {"ref": "tetyanayatsenko/xgb-text2vec-tfidf-0-2237-yatsenko", "kernel_id": "999959"}, {"ref": "skar26/avito-demand-prediction-model-gbm", "kernel_id": "954103"}, {"ref": "skar26/avito-demand-prediction-model-random-forest", "kernel_id": "963250"}, {"ref": "skar26/saso-avito-demand-prediction-analysis", "kernel_id": "927657"}, {"ref": "ganeshn88/detailed-eda-nlp-xgboost-model", "kernel_id": "917596"}, {"ref": "nicapotato/bow-meta-text-and-dense-features-lgbm", "kernel_id": "944209"}, {"ref": "nicapotato/simple-catboost", "kernel_id": "905642"}, {"ref": "vannak/nn-starter-no-period-image-title-desc", "kernel_id": "917889"}, {"ref": "vannak/character-embedding-pre-training", "kernel_id": "971407"}, {"ref": "bminixhofer/aggregated-features-lightgbm", "kernel_id": "978883"}, {"ref": "jpnewmenji/feature-building-and-xgb", "kernel_id": "904468"}, {"ref": "maheshak04/avito-simple-read", "kernel_id": "931404"}, {"ref": "jingqliu/fasttext-conv2d-with-tf-on-title", "kernel_id": "913297"}, {"ref": "jingqliu/fasttext-conv2d-title-keras", "kernel_id": "917126"}, {"ref": "jingqliu/fasttext-conv2d-with-tf-on-title-and-description", "kernel_id": "915886"}, {"ref": "jingqliu/stacked-model-cnn-xgboost", "kernel_id": "987847"}, {"ref": "yekenot/ridge-text-cat", "kernel_id": "906954"}, {"ref": "wesamelshamy/high-correlation-feature-image-classification-conf", "kernel_id": "909945"}, {"ref": "matthewa313/nlp-improvements-for-russian-inflection-dataset", "kernel_id": "916969"}, {"ref": "soumya2g/avito-data-translation-and-transformation", "kernel_id": "934805"}, {"ref": "codename007/avito-eda-fe-time-series-dt-visualization", "kernel_id": "901542"}, {"ref": "demery/lightgbm-with-ridge-feature", "kernel_id": "965064"}, {"ref": "learnmower/ideas-for-image-features-and-multiproccessing", "kernel_id": "988222"}, {"ref": "kabure/extensive-eda-of-deal-probability", "kernel_id": "905452"}, {"ref": "kabure/testing-avito-s-bubblechart", "kernel_id": "950333"}, {"ref": "sohier/getting-started-loading-the-images", "kernel_id": "901179"}, {"ref": "seroppi/avito-with-lightgbm-tfidf", "kernel_id": "952570"}, {"ref": "dicksonchin93/capsule-networks-on-description", "kernel_id": "922759"}, {"ref": "dicksonchin93/wordbatch-fm-ftrl-0-238", "kernel_id": "925113"}, {"ref": "dicksonchin93/keras-gru-cnn-model-with-fasttext-on-description", "kernel_id": "920508"}, {"ref": "dicksonchin93/feature-extraction-on-description-title", "kernel_id": "918467"}, {"ref": "dicksonchin93/xgb-with-mean-encode-tfidf-feature-0-232", "kernel_id": "917024"}, {"ref": "dicksonchin93/lightgbm-with-mean-encode-tfidf-feature-0-231", "kernel_id": "915546"}, {"ref": "wolfgangb33r/advanced-avito-prediction-xgboost-word-char-counts", "kernel_id": "925819"}, {"ref": "wolfgangb33r/advanced-avito-prediction-xgboost", "kernel_id": "908276"}, {"ref": "wolfgangb33r/avito-prediction-xgboost-simple", "kernel_id": "903979"}, {"ref": "him4318/lightgbm-with-aggregated-features-v-2-0", "kernel_id": "982880"}, {"ref": "prashantkikani/avito-random-forest-oof-lb-0-248", "kernel_id": "926946"}, {"ref": "prashantkikani/avito-lgb-features-diff-seed", "kernel_id": "969450"}, {"ref": "prashantkikani/avito-lightgbm-with-ridge-feature", "kernel_id": "980895"}, {"ref": "lux666/avito", "kernel_id": "996869"}, {"ref": "florianaspart/lightgbm-with-mean-encode-feat-no-data-leakage", "kernel_id": "922555"}, {"ref": "nareyko/very-simple-lgbm-0-2307", "kernel_id": "978542"}, {"ref": "twistedtensor/baseline-on-structured-part-with-catboost", "kernel_id": "923468"}, {"ref": "vkuma008/indepth-analysis-visualisations-avito-updated", "kernel_id": "912320"}, {"ref": "cristianionescu92/fork-of-early-beginning", "kernel_id": "979782"}, {"ref": "cristianionescu92/number-of-words-in-description-vs-deal-probability", "kernel_id": "979813"}, {"ref": "tushar786/trying-lightgbm-first-time-on-avito-demand-pred", "kernel_id": "946698"}, {"ref": "christofhenkel/using-train-active-for-training-word-embeddings", "kernel_id": "975053"}, {"ref": "christofhenkel/self-trained-embeddings-starter-only-description", "kernel_id": "975256"}, {"ref": "christofhenkel/fasttext-starter-description-only", "kernel_id": "965049"}, {"ref": "kaparna/translate-titles-and-descriptions", "kernel_id": "927321"}, {"ref": "sukhyun9673/lgb-nan-image-blurrness-regional-info-date", "kernel_id": "961767"}, {"ref": "sukhyun9673/scraping-regional-info-from-wikipedia", "kernel_id": "992925"}, {"ref": "yacropolisy/random-forest-test-for-learning", "kernel_id": "951180"}, {"ref": "shanth84/fast-text-rnn-keras-0-2276", "kernel_id": "987728"}, {"ref": "dhznsdl/nn-model-adding-variables-step-by-step", "kernel_id": "958967"}, {"ref": "tapioca/item-seq-number-vs-deal-probability", "kernel_id": "972068"}, {"ref": "shibashis/avito-end-to-end", "kernel_id": "995380"}, {"ref": "shivamb/ideas-for-image-features-and-image-quality", "kernel_id": "961952"}, {"ref": "shivamb/in-depth-analysis-visualisations-avito", "kernel_id": "904580"}, {"ref": "liuhdsgoal/about-image-top-1-is-a-classify-label", "kernel_id": "989076"}, {"ref": "hugoncosta/tweaked-simple-catboost-tfidf", "kernel_id": "934837"}, {"ref": "sfrias/eda-avito", "kernel_id": "905695"}, {"ref": "leeasy/yanji-itmba7-avito", "kernel_id": "930127"}, {"ref": "lks21c/simple-exploration-avito", "kernel_id": "948058"}, {"ref": "andreikhropov/simple-feat-catboost-w-hparam-tun-lb-0-230-unlim", "kernel_id": "929232"}, {"ref": "andreikhropov/simple-features-catboost-w-o-tuning-lb-0-233", "kernel_id": "905557"}, {"ref": "lemonkoala/target-variable-homework", "kernel_id": "1164346"}, {"ref": "peterhurford/modified-wordbatch-ridge-fm-ftrl-lgb", "kernel_id": "1052876"}, {"ref": "tjbhdata/tf-idf-analysis3", "kernel_id": "1929595"}, {"ref": "nickel/austral-eda", "kernel_id": "1975151"}, {"ref": "onodera/beat-the-best-kernel-public-0-2203", "kernel_id": "1220087"}, {"ref": "shubhinderrana/pyt-user-id-features-vgg16-cat2vec-sentiment", "kernel_id": "1100350"}, {"ref": "mmotoki/beta-target-encoding", "kernel_id": "1231912"}, {"ref": "mmotoki/avito-target-encoding", "kernel_id": "1232141"}, {"ref": "tunguz/nick-brooks-kernel-with-saved-data", "kernel_id": "1058307"}, {"ref": "tunguz/himanshu-notebook-with-saved-data", "kernel_id": "1058317"}, {"ref": "johnfarrell/adp-manifold-eda-with-sklearn", "kernel_id": "1191210"}, {"ref": "johnfarrell/adp-prepare-data-labelencoder-simple", "kernel_id": "1146063"}, {"ref": "johnfarrell/adp-prepare-data-single-cat-count", "kernel_id": "1145643"}, {"ref": "johnfarrell/adp-prepare-data-single-cat-price-ratio", "kernel_id": "1143870"}, {"ref": "johnfarrell/adp-active-period-time-series-eda", "kernel_id": "1093115"}, {"ref": "johnfarrell/adp-pytorch-textcnn-context-only-dev", "kernel_id": "1060067"}, {"ref": "johnfarrell/adp-prepare-kfold-text", "kernel_id": "1055175"}, {"ref": "johnfarrell/adp-prepare-data-me-20-2-true", "kernel_id": "1068112"}, {"ref": "johnfarrell/adp-prepare-text-metadata", "kernel_id": "1076947"}, {"ref": "johnfarrell/adp-pytorch-fm-pretrain-dev", "kernel_id": "1073298"}, {"ref": "gautham11/simple-baseline-lightgbm-model", "kernel_id": "1082486"}, {"ref": "danieleewww/avito-lightgbm-with-ridge-feature-v-2-0", "kernel_id": "1013519"}, {"ref": "danieleewww/avito-lightgbm-with-ridge-feature-v-2-0-e0760b", "kernel_id": "1028801"}, {"ref": "insaff/img-feature-extraction-with-pretrained-resnet", "kernel_id": "1040286"}, {"ref": "insaff/vgg-feature-extraction-by-pretrained-model", "kernel_id": "1040343"}, {"ref": "amitkumarjaiswal/avito-with-lgbm", "kernel_id": "1079499"}, {"ref": "alijs1/target-variable-some-interesting-insights", "kernel_id": "1163912"}, {"ref": "mehdib/lightgbm-with-nlp-pred", "kernel_id": "1047870"}, {"ref": "climbercarmich/exploration-distributions-and-relationships", "kernel_id": "1012572"}, {"ref": "batale/wip-eda-notebook", "kernel_id": "1011785"}, {"ref": "classtag/review-your-feature-before-modeling", "kernel_id": "1145204"}, {"ref": "parmeet1992/finding-blur-score-for-images", "kernel_id": "1205126"}, {"ref": "takuok/result-visualization", "kernel_id": "1108538"}, {"ref": "zgljl2012/simple-exploration-of-features-visualozations", "kernel_id": "1089920"}, {"ref": "liujilong/four-image-has-zero-size", "kernel_id": "1048696"}, {"ref": "krithi07/prediction-based-on-basic-mlp", "kernel_id": "1051443"}, {"ref": "krithi07/baseline-model", "kernel_id": "1021191"}, {"ref": "krithi07/baseline-model-with-new-features", "kernel_id": "1068292"}, {"ref": "krithi07/fork-of-baseline-model-with-new-features-i", "kernel_id": "1098458"}, {"ref": "ashishpatel26/avito-demand-challange-exploration-analysis", "kernel_id": "1089566"}, {"ref": "ashishpatel26/avito-demand-challage-limited", "kernel_id": "1180445"}, {"ref": "stecasasso/russian-city-population-from-wikipedia", "kernel_id": "1001350"}, {"ref": "gisbee/kernel737a41f2ab", "kernel_id": "1185818"}, {"ref": "demoon/automl-silver-bullet-or-poison-pill-lb-0-225", "kernel_id": "1143463"}, {"ref": "titidutarn/image-features-vs-deal-prob", "kernel_id": "1034566"}, {"ref": "wesamelshamy/effect-of-price-on-deal-probability", "kernel_id": "1136509"}, {"ref": "samratp/avito-lightgbm-with-ridge-feature-v-3-0-0-2219", "kernel_id": "1092918"}, {"ref": "samratp/wordbatch-ridge-fm-frtl-target-encoding-lgbm", "kernel_id": "1042091"}, {"ref": "ryches/notes-for-handling-images", "kernel_id": "1213761"}, {"ref": "seiya1998/fill-missing-values-simple-method", "kernel_id": "1028805"}, {"ref": "ashukr/simple-exploration-baseline-notebook-avito-1", "kernel_id": "1122457"}, {"ref": "ashukr/bow-meta-text-and-dense-features-3-0-2241", "kernel_id": "1134467"}, {"ref": "ashukr/bow-meta-text-and-dense-fetrs-lgbm-4-0-2226", "kernel_id": "1134497"}, {"ref": "ashukr/avito-lightgbm-with-ridge-feature-v-2-0-5-0-2222", "kernel_id": "1134504"}, {"ref": "ashukr/rnn-detailed-explanation-0-2246-5", "kernel_id": "1134515"}, {"ref": "ashukr/nn-model-adding-variables-step-by-step-6", "kernel_id": "1134540"}, {"ref": "lenka98/can-someone-help-me-out-neural-nets", "kernel_id": "1089603"}, {"ref": "dicksonchin93/lasso-naive-bayes", "kernel_id": "1199670"}, {"ref": "him4318/avito-lightgbm-with-ridge-feature-v-2-0", "kernel_id": "1001211"}, {"ref": "bsivavenu/data-analysis-and-visualization-for-beginners", "kernel_id": "1013434"}, {"ref": "anishjosh/demand-prediction", "kernel_id": "1022780"}, {"ref": "tingkai/bow-meta-text-and-dense-features-lgbm", "kernel_id": "1024012"}, {"ref": "shreyagaikwad/avito", "kernel_id": "1024702"}, {"ref": "christofhenkel/text2image-top-1", "kernel_id": "1020705"}, {"ref": "sukhyun9673/extracting-image-features-test", "kernel_id": "1208226"}, {"ref": "sukhyun9673/adding-time-features-and-image-with-ridge-kp", "kernel_id": "1189711"}, {"ref": "sukhyun9673/add-more-features-lgb-time-region-with-ridge", "kernel_id": "1189933"}, {"ref": "sukhyun9673/export-image-features", "kernel_id": "1188811"}, {"ref": "sukhyun9673/forked-adding-time-features-and-image", "kernel_id": "1188818"}, {"ref": "sukhyun9673/aggregated-features-ridge-image-forked", "kernel_id": "1046453"}, {"ref": "sukhyun9673/scraping-regional-info-population-time-zone-etc", "kernel_id": "1005238"}, {"ref": "sukhyun9673/image-processing-600000-to-750000", "kernel_id": "1009007"}, {"ref": "sukhyun9673/fork-of-lgb-only-crucial-factors", "kernel_id": "1025095"}, {"ref": "yacropolisy/fork-of-random-forest-test-for-learning", "kernel_id": "1036240"}, {"ref": "aslisabanci/basic-nn-using-vgg16-image-features", "kernel_id": "1221948"}, {"ref": "naka13yy/avito-descriptive-statistics", "kernel_id": "1083087"}, {"ref": "shanth84/rnn-how-to-run-kfold-explanation-for-beginners", "kernel_id": "1021303"}, {"ref": "shanth84/rnn-detailed-explanation-0-2246", "kernel_id": "1022366"}, {"ref": "dandres/best-public-blend-0-2204", "kernel_id": "1210028"}, {"ref": "liuhdsgoal/neural-image-assessment-train-features-starter", "kernel_id": "1183774"}, {"ref": "liuhdsgoal/ideas-for-image-features-multiprocessing-support", "kernel_id": "1009009"}, {"ref": "liuhdsgoal/simple-prediction-of-the-teams", "kernel_id": "1096093"}, {"ref": "liuhdsgoal/script-image-features-train-color-batch4", "kernel_id": "1098366"}, {"ref": "liuhdsgoal/using-image-features", "kernel_id": "1066803"}, {"ref": "fujihiro/kernelc6d1f82171", "kernel_id": "1054825"}, {"ref": "fujihiro/kernele8218db620", "kernel_id": "1054839"}, {"ref": "chloejung/aggregated-features-lightgbm", "kernel_id": "1078256"}, {"ref": "chloejung/fork-of-fork-of-best-public-blend-0-2204", "kernel_id": "1219570"}, {"ref": "doyonghoon/lightgbm-with-mean-encode-feature-0-233", "kernel_id": "1113773"}, {"ref": "kangminhyuk/train-data-simple-read", "kernel_id": "1067414"}, {"ref": "stephanjo/bow-meta-text-and-dense-lgbm-itmba", "kernel_id": "1082644"}, {"ref": "stephanjo/4th-trial-just-simple-moyen-itmba", "kernel_id": "1094056"}, {"ref": "leeasy/liyz-itmba7-avito", "kernel_id": "1212814"}, {"ref": "leeasy/himan-itmba7-avito", "kernel_id": "1209393"}, {"ref": "leeasy/itmba7-avito", "kernel_id": "1064226"}, {"ref": "urlaggle/urlaggle-itmba8-5-avito-exam-test", "kernel_id": "1209011"}, {"ref": "khahuras/advanced-image-features-extraction", "kernel_id": "1089769"}, {"ref": "georgesnassopoulos/lgbm-text2vec-tfidf", "kernel_id": "1054424"}, {"ref": "swethayl/avito-challenge", "kernel_id": "1085794"}, {"ref": "kuroironeko/avito-nn", "kernel_id": "1413127"}, {"ref": "kuroironeko/avito-lightgbm", "kernel_id": "1411645"}, {"ref": "johnlevesq/avito-eda-kernel", "kernel_id": "1045607"}, {"ref": "bofeee/catboostattempt", "kernel_id": "1108814"}, {"ref": "bewiiv/1-data-understanding-eda", "kernel_id": "1911403"}, {"ref": "nickel/simple-nn", "kernel_id": "2032247"}, {"ref": "fredzhao04/avito-lightgbm-with-ridge-feature-v-2-0", "kernel_id": "2592035"}, {"ref": "ambivert/ideas-for-image-features-and-image-quality", "kernel_id": "2415769"}, {"ref": "vikasmalhotra08/eda-and-lightgbm-for-avito", "kernel_id": "3175374"}, {"ref": "anil777/ridge-regularization-on-avito-data-practice", "kernel_id": "3524709"}, {"ref": "xdg988/for-project", "kernel_id": "4439471"}, {"ref": "srbestha/tips-tricks-for-working-with-large-datasets", "kernel_id": "7464738"}, {"ref": "darwinwin/automl-silver-bullet-or-poison-pill-lb-0-225", "kernel_id": "8130801"}, {"ref": "yixuancui/kernel5cdada4b1b", "kernel_id": "8517169"}, {"ref": "mlenzovet/opener-avito-images-from-zip", "kernel_id": "12096684"}, {"ref": "kuromishra/homework-3-pml", "kernel_id": "13139407"}, {"ref": "rooshroosh/ridge-and-catboost-starter", "kernel_id": "14306173"}, {"ref": "zishaankhan/avito-s-cs-2-eda", "kernel_id": "19061345"}, {"ref": "zishaankhan/gru-with-embedding-layer", "kernel_id": "19575300"}, {"ref": "julichitai/avito-eda-catboost", "kernel_id": "28689994"}, {"ref": "jannakarapetyan/notebooka7858cd787", "kernel_id": "33334603"}, {"ref": "alinamaksimova/mixed-data", "kernel_id": "38780249"}, {"ref": "alinamaksimova/custom-generator", "kernel_id": "39032854"}, {"ref": "alinamaksimova/mixed-data-catboost", "kernel_id": "39003270"}, {"ref": "anastasiastupina/notebook19d0f87327", "kernel_id": "70334434"}, {"ref": "evgendvorkin/stacking-rf-lgbm-cb", "kernel_id": "106632993"}, {"ref": "hildlawliet/avito-demand-prediction-challenge", "kernel_id": "115489198"}, {"ref": "egorkozlovcu/avitodemandprediction", "kernel_id": "125838694"}, {"ref": "abonasser77/avito-demand-prediction-challenge", "kernel_id": "129821573"}]}
{"competition_id": "8587", "kernels": [{"ref": "kcbighuge/xgboost-with-item-categories-mapped", "kernel_id": "918857"}, {"ref": "kcbighuge/predicting-sales-with-a-nested-lstm", "kernel_id": "909869"}, {"ref": "mik3hall/just-median-leaderboard-1-11436", "kernel_id": "977961"}, {"ref": "sinaasappel/cleaning-exploring-the-data", "kernel_id": "918384"}, {"ref": "poonaml/predict-monthly-sales", "kernel_id": "748840"}, {"ref": "chemaplana/the-accountant-predict-sales-keras-1", "kernel_id": "886319"}, {"ref": "mrbeer/basic-time-series-preprocessing-and-filtering", "kernel_id": "687577"}, {"ref": "ymanojkumar023/predict-future-sales-h2o-automl", "kernel_id": "672613"}, {"ref": "gchevalier/signal-prediction-with-a-seq2seq-rnn", "kernel_id": "708972"}, {"ref": "jagangupta/time-series-basics-exploring-traditional-ts", "kernel_id": "694945"}, {"ref": "jihyeseo/coursera-predict-future-sale", "kernel_id": "958547"}, {"ref": "gopisaran/simple-eda-with-seaborn-sales", "kernel_id": "827613"}, {"ref": "dhimananubhav/eda-with-sales-data", "kernel_id": "780609"}, {"ref": "jiegzhan/time-series-basics-exploring-traditional-ts", "kernel_id": "699197"}, {"ref": "minhtriet/a-beginner-guide-for-sale-data-prediction", "kernel_id": "710973"}, {"ref": "vignesh2323/fork-of-convert-russian-to-english-in-python", "kernel_id": "856192"}, {"ref": "vignesh2323/convert-russian-to-english-in-python", "kernel_id": "826074"}, {"ref": "hrmello/russian-translation-and-sliding-window-method", "kernel_id": "719872"}, {"ref": "bmconrad/exploring-sales", "kernel_id": "874703"}, {"ref": "jpnewmenji/eda-time-series-approach", "kernel_id": "854574"}, {"ref": "sebask/eda-of-1c-data", "kernel_id": "681729"}, {"ref": "sebask/keras-2-0", "kernel_id": "763342"}, {"ref": "plarmuseau/100-seconds-solution", "kernel_id": "974464"}, {"ref": "plarmuseau/exploring", "kernel_id": "926712"}, {"ref": "plarmuseau/triple-exponential-smoothing-still-a-pearl", "kernel_id": "980117"}, {"ref": "plarmuseau/peng-go", "kernel_id": "997841"}, {"ref": "echobinbo/data-exploring", "kernel_id": "729102"}, {"ref": "vyordanov/simple-prediction-approach-to-get-you-in-top-70", "kernel_id": "973638"}, {"ref": "bourov/yada-yet-another-e-da-by-geo-location-of-shops", "kernel_id": "744158"}, {"ref": "lalitsomnathe/comp-sales", "kernel_id": "838321"}, {"ref": "obichkin/top10-solution-on-xgboost", "kernel_id": "888341"}, {"ref": "swamysm/future-sales-prediction-1c-company", "kernel_id": "802799"}, {"ref": "kazimanil/predicting-future-sales", "kernel_id": "911313"}, {"ref": "daigomiyoshi/predict-future-sales-v1", "kernel_id": "926582"}, {"ref": "hirairyoji/first-kernel", "kernel_id": "765776"}, {"ref": "rhodiumbeng/predict-future-sales-eda", "kernel_id": "816525"}, {"ref": "carmnejsu/sales-forecast-lstm-67-beginner-friendly", "kernel_id": "696787"}, {"ref": "khyeh0719/data-cleaning-eda-and-feature-engineering", "kernel_id": "701516"}, {"ref": "chiduralasunny/exploring-predict-monthly-sales", "kernel_id": "961673"}, {"ref": "nikhil04/predict-sale-price", "kernel_id": "837715"}, {"ref": "holmesjiang/consider-some-feathers-by-one-hot", "kernel_id": "757327"}, {"ref": "plasticgrammer/future-sales-prediction-playground", "kernel_id": "911438"}, {"ref": "angusmclean/predict-future-sales-attempt", "kernel_id": "923735"}, {"ref": "anqitu/feature-engineer-and-model-ensemble-top-10", "kernel_id": "824978"}, {"ref": "lieutenant1996/simple-lightgbm-model", "kernel_id": "781308"}, {"ref": "pavansanagapati/tableau-intro-use-cases", "kernel_id": "863414"}, {"ref": "saharmillis/predict-future-sales", "kernel_id": "975356"}, {"ref": "keesvb/a-beginner-guide-for-sale-data-prediction", "kernel_id": "823106"}, {"ref": "malaygoel/feature-engineering-xgboost", "kernel_id": "1448572"}, {"ref": "danofer/playing-in-the-future-sales-sandbox-fork", "kernel_id": "1232688"}, {"ref": "deeprajjha/sales-forecast-lstm-67-beginner-friendly", "kernel_id": "1703575"}, {"ref": "igauty/feature-engineering-xgboost", "kernel_id": "1572521"}, {"ref": "dhimananubhav/feature-engineering-xgboost", "kernel_id": "1609431"}, {"ref": "andymaheshw/eda-1-coursera-course", "kernel_id": "1292063"}, {"ref": "dibgerge/exploratory-data-analysis", "kernel_id": "1377315"}, {"ref": "motorcity/playing-in-the-sandbox-5c3b89", "kernel_id": "1586367"}, {"ref": "gajjadarahul/predict-future-sales-competition", "kernel_id": "1435368"}, {"ref": "ashishpatel26/predict-sales-price-using-xgboost", "kernel_id": "1090854"}, {"ref": "ashishpatel26/predict-future-sales", "kernel_id": "1097671"}, {"ref": "ashishpatel26/predicting-sales-with-a-nested-lstm", "kernel_id": "1144222"}, {"ref": "nicapotato/multivar-lstm-ts-regression-keras", "kernel_id": "1060764"}, {"ref": "nicapotato/cutting-edge-kiss-method", "kernel_id": "1068001"}, {"ref": "vkgpt11/starter-code-with-feature-eng-and-lgbm-lb-0-899", "kernel_id": "1761791"}, {"ref": "kaveeshashah/linear-regression-sample", "kernel_id": "1543705"}, {"ref": "plarmuseau/weekly", "kernel_id": "1049649"}, {"ref": "plarmuseau/forecast-log", "kernel_id": "1013356"}, {"ref": "plarmuseau/regressions-until-1-029", "kernel_id": "1237589"}, {"ref": "mullayilkannan/simplepredictionusing-r", "kernel_id": "1800265"}, {"ref": "mgibson23/predict-future-sales", "kernel_id": "1077509"}, {"ref": "tanejapranav/how-to-win-a-data-science-competition-coursera", "kernel_id": "1969489"}, {"ref": "pkandalkar05/predicting-future-sales-by-prasad-kandalkar", "kernel_id": "1276138"}, {"ref": "ahalaa/feature-engineering-prepartion-for-ml-model", "kernel_id": "1951866"}, {"ref": "rupeshkumar/rupesh-kumar-sales-analysis", "kernel_id": "1152456"}, {"ref": "ikedayu/simple-stacking", "kernel_id": "1918542"}, {"ref": "albertizo/fork-of-the-next-month-sales-dc31d8", "kernel_id": "1071634"}, {"ref": "harrymcanoida/predict-future-sales", "kernel_id": "1216435"}, {"ref": "fabianaboldrin/eda-xgboost", "kernel_id": "1589071"}, {"ref": "zisu0426/a-begining-try", "kernel_id": "1916566"}, {"ref": "juyoungsarachoi/practice-8-thanks-to-the1owl", "kernel_id": "1041558"}, {"ref": "baoanh/lightgbm-future-sales-predict", "kernel_id": "1894154"}, {"ref": "sarvajna/random-forest-with-variable-importance", "kernel_id": "1071029"}, {"ref": "sarmat/car-analysis", "kernel_id": "1302663"}, {"ref": "nasirislamsujan/predict-future-sales", "kernel_id": "1562890"}, {"ref": "abkedar/graphical-visualization-on-predict-future-sales", "kernel_id": "1470923"}, {"ref": "jackone1/coursera-winning-competition-homework-week1", "kernel_id": "1676318"}, {"ref": "vraval48/eda-and-feature-engineering-predict-future-sales", "kernel_id": "1346570"}, {"ref": "bodek87/predict-future-sales", "kernel_id": "1168488"}, {"ref": "mehulgupta2016154/timeserieswithlagfeatures", "kernel_id": "1862181"}, {"ref": "ymatioun/simple-regression-based-on-past-sales", "kernel_id": "1194291"}, {"ref": "szhou42/predict-future-sales-top-11-solution", "kernel_id": "1284799"}, {"ref": "abdullahrana/monthly-prediction", "kernel_id": "1608305"}, {"ref": "john850512/predict-future-sales-lstm", "kernel_id": "1561270"}, {"ref": "jeffdlin/fork-of-run-3", "kernel_id": "1040530"}, {"ref": "dlarionov/feature-engineering-xgboost", "kernel_id": "1220580"}, {"ref": "ressaleh/exponentially-weighted-time-series", "kernel_id": "1267386"}, {"ref": "cieler1/plz-help-my-first-dl", "kernel_id": "1246111"}, {"ref": "vyoyo15/title-for-a-notebook1", "kernel_id": "1041147"}, {"ref": "biswam87/biswam27052018-data-exploration", "kernel_id": "1032184"}, {"ref": "biswam87/predicting-sales-future-biswam", "kernel_id": "1088638"}, {"ref": "rgauba1976/predict-future-sales-data-analysis", "kernel_id": "1243737"}, {"ref": "shrirambidkar/inthefuture-predict-future-sales", "kernel_id": "1149445"}, {"ref": "sharmatushar/predict-future-sales-in-r", "kernel_id": "1222988"}, {"ref": "sunilchauhan1477/future-sales-prediction", "kernel_id": "1094926"}, {"ref": "sunilmundra21/predict-future-sales-visual-analytics-sm", "kernel_id": "1245351"}, {"ref": "amrish445/future-sales-forecast", "kernel_id": "1161498"}, {"ref": "amrish445/visual-analytics-amrishkumar", "kernel_id": "1058902"}, {"ref": "vipulsandhir/predict-sales-kaggle-vipulsandhir", "kernel_id": "1251464"}, {"ref": "sriram30/predict-future-sales-data-analytics", "kernel_id": "1175365"}, {"ref": "bhaveshthaker/data-preparation-exploratory-analysis-and-modeling", "kernel_id": "1053405"}, {"ref": "akgauravin/future-sales-forecast-with-data-analysis", "kernel_id": "1088762"}, {"ref": "samy12/my-titled-notebooks", "kernel_id": "1032312"}, {"ref": "amitv143/future-sales-forecast", "kernel_id": "1143864"}, {"ref": "schalamalasetty/predictfuturesales-sreeni", "kernel_id": "1109378"}, {"ref": "samsammy0711/predict-future-sales-sam", "kernel_id": "1347381"}, {"ref": "murlidhar86/predict-future-sale", "kernel_id": "1286918"}, {"ref": "carmenbelen/data-analytics-insights-sales-analysis", "kernel_id": "1099043"}, {"ref": "lovekeshm/predict-future-sale-data-exploration-lovekesh", "kernel_id": "1092215"}, {"ref": "jaeguklee/predict-sales-price-using-xgboost-215466", "kernel_id": "1126014"}, {"ref": "dk13913/predict-future-sales-dk", "kernel_id": "1222879"}, {"ref": "amukthag/future-sales-exploration", "kernel_id": "1032145"}, {"ref": "anubhavkapoor/predict-future-sales", "kernel_id": "1209636"}, {"ref": "bhushan08/predict-future-sales-bhushan-pujare", "kernel_id": "1259474"}, {"ref": "vinaykumarkandula/train-sales-prediction", "kernel_id": "1259742"}, {"ref": "nargundkaraniket/kernelaf588e367c", "kernel_id": "1032442"}, {"ref": "vp00507210/predict-future-sales-vis", "kernel_id": "1330185"}, {"ref": "vp00507210/predict-future-sales-example", "kernel_id": "1274270"}, {"ref": "vp00507210/wine-quality-vis", "kernel_id": "1032370"}, {"ref": "vp00507210/datascienceexploration", "kernel_id": "1032148"}, {"ref": "pradnyatandeluk/sales-data-visualisation-using-translations", "kernel_id": "1356892"}, {"ref": "digvijaysingh16/fork-of-data-manipulation-and-analytics-v0-1", "kernel_id": "1171041"}, {"ref": "ritutomar/predict-future-sales", "kernel_id": "1260139"}, {"ref": "aartiaurange9/data-analysis-exploration-for-insight-of-sale", "kernel_id": "1040216"}, {"ref": "rameshchandrasahoo/data-explore", "kernel_id": "1032283"}, {"ref": "devnaray/predict-future-sales-devanathan-n", "kernel_id": "1359459"}, {"ref": "mayurrkarale/predict-future-sales-mayur-karale", "kernel_id": "1321661"}, {"ref": "sndychvn18/sales-prediction", "kernel_id": "1502776"}, {"ref": "karanjakhar/predict-future-sale", "kernel_id": "1661235"}, {"ref": "eze2094/predict-future-sales-analysis-eze-20", "kernel_id": "1345679"}, {"ref": "sanket30/predicting-sales-using-keras-regressor", "kernel_id": "1407811"}, {"ref": "sanket30/predicting-sales-using-lightgbm", "kernel_id": "1407882"}, {"ref": "jamesguo89/sklearn", "kernel_id": "1208765"}, {"ref": "tkaleczyc/1-c-sale", "kernel_id": "1268899"}, {"ref": "naimul314/sales-prediction-with-random-forest", "kernel_id": "1880057"}, {"ref": "vinothini6/predict-future-sale-data-exploration", "kernel_id": "1311375"}, {"ref": "nishasingh1/predict-future-sales-for-items-nisha", "kernel_id": "1287961"}, {"ref": "amusketeer/predict-future-sales-basic-time-series-wip", "kernel_id": "1374784"}, {"ref": "bapanes/time-series-basics-expl-trad-ts-bapanes", "kernel_id": "1780958"}, {"ref": "debasishchat/sales-projection-with-arima", "kernel_id": "1496891"}, {"ref": "jefferywong0f23/prophet-success", "kernel_id": "1785468"}, {"ref": "ankuraman1234/predict-sale-for-next-2-month", "kernel_id": "1942013"}, {"ref": "knly10/exploratory-analysis-and-prediction", "kernel_id": "1956086"}, {"ref": "maxlincoln/an-lise-explorat-ria-de-dados", "kernel_id": "1836569"}, {"ref": "sohamhans19994/fork-of-kernelb69d3d533c-d0fbf0", "kernel_id": "1772129"}, {"ref": "kanaaan/prepare-data-predict-future-sales", "kernel_id": "1815141"}, {"ref": "udaygurugubelli/tf-using-rnns", "kernel_id": "2740213"}, {"ref": "rafaelfichtner/competitive-ds", "kernel_id": "2644138"}, {"ref": "hisudha/ensemble-models-v1", "kernel_id": "2886226"}, {"ref": "earthshaker/coursera", "kernel_id": "2591563"}, {"ref": "davids1992/representation-of-item-names", "kernel_id": "2095128"}, {"ref": "arunkumarramanan/practical-machine-learning-with-pytorch-tbu", "kernel_id": "2371261"}, {"ref": "arunkumarramanan/awesome-ds-for-beginners-with-titanic-exploration", "kernel_id": "2290269"}, {"ref": "arunkumarramanan/awesome-ml-and-text-classification-movie-reviews", "kernel_id": "2272874"}, {"ref": "arunkumarramanan/data-science-in-r-and-titanic-survival-prediction", "kernel_id": "2272949"}, {"ref": "arunkumarramanan/machine-learning-toolkits-awesome-ml-resources", "kernel_id": "2518488"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "lider123/salesforecasting", "kernel_id": "2161069"}, {"ref": "zoubinirani/predicting-data-sales-simple-submission", "kernel_id": "2420668"}, {"ref": "huseinzol05/introduction-to-timeseries-analysis-using-numpy", "kernel_id": "2595837"}, {"ref": "susmithamanda/kernel3c96891094", "kernel_id": "2927787"}, {"ref": "antoinekrajnc/simplest-time-series-using-linear-regression", "kernel_id": "2457251"}, {"ref": "chandraroy/simple-time-series-analytic", "kernel_id": "2830693"}, {"ref": "dimitreoliveira/deep-learning-for-time-series-forecasting", "kernel_id": "2482024"}, {"ref": "dimitreoliveira/model-stacking-feature-engineering-and-eda", "kernel_id": "2130246"}, {"ref": "dimitreoliveira/time-series-forecasting-with-lstm-autoencoders", "kernel_id": "2323228"}, {"ref": "svarogjk/prophetattempt", "kernel_id": "2067223"}, {"ref": "pibieta/data-exploration-predict-future-values", "kernel_id": "2003819"}, {"ref": "jeetranjeet619/predict-future-sales-r", "kernel_id": "2171522"}, {"ref": "mgrapotte/why-we-have-it-wrong-deep-learning-from-scratch", "kernel_id": "2781990"}, {"ref": "econdata/predicting-future-sales-with-xgboost", "kernel_id": "2725445"}, {"ref": "econdata/predicting-future-sales-with-lstm", "kernel_id": "2725027"}, {"ref": "jledru/feature-engineering-xgboost", "kernel_id": "2295215"}, {"ref": "jledru/sales-predictionsf", "kernel_id": "2295145"}, {"ref": "amelnozieres/predict-future-sales-by-shop", "kernel_id": "2437798"}, {"ref": "karanjakhar/simple-and-easy-aprroach-using-lstm", "kernel_id": "2100973"}, {"ref": "lpdataninja/data-science-glossary-21-ensembling-stacking", "kernel_id": "2614833"}, {"ref": "marcoracer/predict-future-sales-with-randomforest", "kernel_id": "2568911"}, {"ref": "cheeti398/1st-place-solution-part-1-hands-on-data", "kernel_id": "2947733"}, {"ref": "patriciasakugawa/predict-future-sales-part-1-eda", "kernel_id": "2070550"}, {"ref": "bapanes/sales-prediction-time-series-lstm-bapanes", "kernel_id": "2121305"}, {"ref": "unabletoname/predicting-sales", "kernel_id": "2133931"}, {"ref": "bra31k/patrakeev-sergey", "kernel_id": "2673817"}, {"ref": "rihadv/feature-engineering-xgboost", "kernel_id": "2948826"}, {"ref": "maxlincoln/aplicando-xgboost", "kernel_id": "2339429"}, {"ref": "maxlincoln/greed-test-2", "kernel_id": "2446351"}, {"ref": "adamlouly/lstm-predicting-future-smexiest-sale", "kernel_id": "2101849"}, {"ref": "sedrak/sales-prediction", "kernel_id": "2829711"}, {"ref": "uni20151096/cse463-project-2-ksh", "kernel_id": "2125033"}, {"ref": "uni20151096/cse463-project-2", "kernel_id": "2116047"}, {"ref": "kyakovlev/1st-place-solution-part-1-hands-on-data", "kernel_id": "2397988"}, {"ref": "simransinha5514/eafexgboost", "kernel_id": "2969496"}, {"ref": "surajkmr/future-sales-using-xgboost", "kernel_id": "2947752"}, {"ref": "d25091c/data-science-and-machine-learning-cheatsheets", "kernel_id": "2563051"}, {"ref": "leewind/extract-features-and-train-by-xgb", "kernel_id": "2959648"}, {"ref": "dharm0us/replace-item-id-with-leave-one-out-feature", "kernel_id": "3147712"}, {"ref": "igauty/ts-exploration-wip", "kernel_id": "3464013"}, {"ref": "vasudevmaduri/data-walkthrough", "kernel_id": "3891721"}, {"ref": "jingbinxu/signal-prediction-with-a-seq2seq-rnn", "kernel_id": "3329234"}, {"ref": "skotty971/predictsales56d680a835", "kernel_id": "3684343"}, {"ref": "skotty971/kernele075ffe2dc", "kernel_id": "3685199"}, {"ref": "darrellulm/feature-engineering-xgboost-test-run", "kernel_id": "3122281"}, {"ref": "karnakarthoorpu/sales-data-exploration-and-visualization", "kernel_id": "3916941"}, {"ref": "rhinoh/kernel55dd685d4a", "kernel_id": "3358796"}, {"ref": "talevy23/a-beginner-s-guide-to-sales-prediction", "kernel_id": "3511614"}, {"ref": "pibieta/exploratory-data-analysis-v1-0", "kernel_id": "3108592"}, {"ref": "hadsga/eda-fe-and-mb", "kernel_id": "3742704"}, {"ref": "pulkit21aug/predict-future-sales-arima-model", "kernel_id": "3254039"}, {"ref": "kevinyi/sales-prediction", "kernel_id": "3504888"}, {"ref": "weideng621ting/c1-sales-predictions", "kernel_id": "3548286"}, {"ref": "jatinbhati/predict-future-sales-random-forest", "kernel_id": "3689731"}, {"ref": "lgh7654/a-beginner-guide-for-sale-data-prediction-bc9761", "kernel_id": "3953156"}, {"ref": "fatmakursun/predict-sales-time-series-with-cnn", "kernel_id": "3591104"}, {"ref": "sabihxh/predict-future-sales", "kernel_id": "3504518"}, {"ref": "junota/data-understanding-base-modeling", "kernel_id": "3893645"}, {"ref": "shihyu/predict-future-sales-using-lstm", "kernel_id": "3782769"}, {"ref": "alpharadia/lb-probing-public-private-split-and-simple-season", "kernel_id": "3851705"}, {"ref": "torigon/predict-future-sales-simple-linear-regression", "kernel_id": "3891337"}, {"ref": "hamzarhibi/predict-future-sales", "kernel_id": "3018469"}, {"ref": "kinpatucom/feature-engineering-xgboost", "kernel_id": "3453855"}, {"ref": "jatinmittal0001/predict-future-sales-part-1", "kernel_id": "3593585"}, {"ref": "sarthakbatra/predicting-sales-tutorial", "kernel_id": "3313720"}, {"ref": "sanyamjain1999/predicting-future-sales-through-linear-regression", "kernel_id": "3364802"}, {"ref": "iwamoto/predict-future-sales", "kernel_id": "3514061"}, {"ref": "ayushik70/kernele8970e139b", "kernel_id": "3941094"}, {"ref": "emaksone/eda-with-feature-engineering", "kernel_id": "3929922"}, {"ref": "emaksone/linear-model-xgboost-and-stacking", "kernel_id": "3960239"}, {"ref": "alechelyar/predict-future-sales-competition-entry", "kernel_id": "3749156"}, {"ref": "shindeprash96/future-sales-prediction-simple-analysis", "kernel_id": "3829714"}, {"ref": "venkateshdeepak/feature-logic", "kernel_id": "3435997"}, {"ref": "zc944376823/time-series-basics-exploring-traditional-ts", "kernel_id": "3788554"}, {"ref": "reemgody/play-xgboost-r", "kernel_id": "3635343"}, {"ref": "akumaldo/eda-simple-time-series-lgb-cat-xgboost", "kernel_id": "3675192"}, {"ref": "sywang113/exploratory-data-analysis-sales-prediction", "kernel_id": "3620915"}, {"ref": "sywang113/linear-regression-model-sales-prediction", "kernel_id": "3622722"}, {"ref": "bauuuu1021/mid-project", "kernel_id": "3857573"}, {"ref": "s104ats/kernelf1941529c6", "kernel_id": "3847874"}, {"ref": "gamzebayburt/kernelda83d40825", "kernel_id": "3925156"}, {"ref": "wardnath/predict-future-sales-analytics-20190603", "kernel_id": "4131728"}, {"ref": "archish/sales-prediction-with-random-forest-and-xgb", "kernel_id": "4018595"}, {"ref": "edgelab/predict-future-sales-eda", "kernel_id": "4081600"}, {"ref": "dkrivosic/predict-future-sales-full-pipeline", "kernel_id": "4260199"}, {"ref": "markeidsaune/predict-future-sales-eda", "kernel_id": "4769846"}, {"ref": "abhinav2308/courseera-ensemble-final", "kernel_id": "4323702"}, {"ref": "bombatkarvivek/predict-future-sales-with-randomforest-spark-ml", "kernel_id": "4855081"}, {"ref": "a4anandr/anand-future-sales", "kernel_id": "4618715"}, {"ref": "evanaze/coursera-data-competition", "kernel_id": "4833315"}, {"ref": "mohamedleila/mleila-sales-preprocessing", "kernel_id": "4343179"}, {"ref": "kabure/simple-eda-model-hyperopt-w-easy-code", "kernel_id": "4145655"}, {"ref": "tushar97/future-sales-using-lstm", "kernel_id": "4413460"}, {"ref": "christianmarechal/futur-sales-xgboost-lstm", "kernel_id": "4552496"}, {"ref": "christianmarechal/futur-sales-xgboost-tuning", "kernel_id": "4567135"}, {"ref": "sandeepdev/data-exploration-predict-future-values", "kernel_id": "4185693"}, {"ref": "sandeepdev/predict-sales-data", "kernel_id": "4186887"}, {"ref": "sm14159/robust-and-thorough-exploratory-data-analysis", "kernel_id": "4754932"}, {"ref": "yzx915/gb-only", "kernel_id": "4360252"}, {"ref": "visali/forecasting-sales-prediction-using-fbprophet", "kernel_id": "4469888"}, {"ref": "junota/predict-future-sales-naive-forecasting-xgboost", "kernel_id": "4370760"}, {"ref": "yutafm/pfs-time-series", "kernel_id": "4331929"}, {"ref": "mukul09/predict-future-sales", "kernel_id": "4067875"}, {"ref": "senasista/predict-future-sales", "kernel_id": "4750401"}, {"ref": "senasista/predict-future-sale", "kernel_id": "4868609"}, {"ref": "anweshasinha/practise", "kernel_id": "4476949"}, {"ref": "revanthrex/predict-future-sales-xgboost-feature-selection", "kernel_id": "4944369"}, {"ref": "gundamb2/eda-feature-engineering-selection-model-select", "kernel_id": "4260814"}, {"ref": "alanxiao/final-project-a-longer-meta-training-period", "kernel_id": "4903699"}, {"ref": "monthepp/predict-future-sales", "kernel_id": "4013561"}, {"ref": "animeshsinha1309/future-sales-prediction-aml-2-project", "kernel_id": "4841712"}, {"ref": "parijat29/kernel7541ff3f92", "kernel_id": "4334172"}, {"ref": "alexyau/previous-value-benchmark-simple-eda", "kernel_id": "4261057"}, {"ref": "alexyau/simple-eda-random-forest-xgboost", "kernel_id": "4359975"}, {"ref": "shilparpns/feature-engineering-xgboost", "kernel_id": "4544925"}, {"ref": "mmcblk0p1/kernelc61c95f29c", "kernel_id": "4258573"}, {"ref": "virajbagal/traditional-vs-neural-time-series-modelling", "kernel_id": "4413269"}, {"ref": "jacobkim/predicting-sales-tutorial-edited", "kernel_id": "4979293"}, {"ref": "vikrantdh/future-sales", "kernel_id": "4252360"}, {"ref": "priyalgarg21/sales-prediction", "kernel_id": "4611300"}, {"ref": "s106061538/eda-on-sales-beginner", "kernel_id": "4105242"}, {"ref": "jzmichal/darthkernel", "kernel_id": "4028501"}, {"ref": "vishalbh85/exercise-categorical-variables", "kernel_id": "4986619"}, {"ref": "shirin110/predict-future-sales", "kernel_id": "4406259"}, {"ref": "summeraa/feature-engineering-xgboost-ef83d6", "kernel_id": "4922846"}, {"ref": "mellowgang/kudos-predictions-sales", "kernel_id": "4474135"}, {"ref": "taka0830/predict-sales-price", "kernel_id": "4800169"}, {"ref": "valentinamaria/beginner-guide-sales-data-prediction", "kernel_id": "4854210"}, {"ref": "iamycd/simple-lstm-on-lag-features", "kernel_id": "5576124"}, {"ref": "iamycd/eda-and-feature-engineering-data-exported", "kernel_id": "5573397"}, {"ref": "ifashion/predict-future-sales-with-lstm", "kernel_id": "5612305"}, {"ref": "thoolihan/initial-eda", "kernel_id": "5709086"}, {"ref": "thoolihan/category-eda", "kernel_id": "5771529"}, {"ref": "gcmsrc/predict-future-sales-eda-and-processing", "kernel_id": "5616099"}, {"ref": "bombatkarvivek/pyspark-tensorflow-predict-future-sales-v1", "kernel_id": "5519673"}, {"ref": "drscarlat/future-sales-forecasting-w-sarima-and-fb-prophet", "kernel_id": "5834180"}, {"ref": "mohamedleila/timeseries-to-supervised-learning-in-pandas", "kernel_id": "5028648"}, {"ref": "mohamedleila/data-prep", "kernel_id": "5152311"}, {"ref": "brekhnaa/future-sales-prediction", "kernel_id": "5093282"}, {"ref": "ariesduanmu/predict-future-sales", "kernel_id": "5345586"}, {"ref": "flora1888/predict-baseline", "kernel_id": "5507268"}, {"ref": "manishs3/a-beginner-guide-for-sale-data-prediction", "kernel_id": "5235772"}, {"ref": "leoromanovich/i-wish-to-predict-v3", "kernel_id": "5436072"}, {"ref": "gipark2001/sales-prediction", "kernel_id": "5008410"}, {"ref": "buluslee/predict-future-sales1-0", "kernel_id": "5452824"}, {"ref": "akhileshrai/sales-dashboard-bokeh-tutorial", "kernel_id": "5615508"}, {"ref": "khiwila/kernel3a49714230", "kernel_id": "5550921"}, {"ref": "liuqiantx1221/predict-future", "kernel_id": "5747861"}, {"ref": "zxcvasdfqwer1234/predict-ltsm", "kernel_id": "5737597"}, {"ref": "basselkassem/introduction-about-predicting-monthly-sales", "kernel_id": "5908381"}, {"ref": "williammcmillan/predict-future-monthly-sales-with-prophet", "kernel_id": "5528383"}, {"ref": "eternity1218/kernel18aecd9760", "kernel_id": "5548344"}, {"ref": "abhiroopgh0sh/predict-future-sales", "kernel_id": "5162245"}, {"ref": "mohamedalhawi/finshed", "kernel_id": "5728319"}, {"ref": "mohamedalhawi/pre-model123", "kernel_id": "5628991"}, {"ref": "zuhdiabyjayyab/finshed", "kernel_id": "5738746"}, {"ref": "ruixuerub/predicting-future-sales-by-lstm-model", "kernel_id": "5675299"}, {"ref": "zengyaner/predict-future-sales-2-0", "kernel_id": "5584725"}, {"ref": "resh001/kernelc3769de79f", "kernel_id": "5914838"}, {"ref": "sgwood/step-1-understanding-the-submission-file", "kernel_id": "5828883"}, {"ref": "sgwood/step-2-simple-time-lagged-values-as-predictions", "kernel_id": "5857493"}, {"ref": "jpmiller/skmem", "kernel_id": "6074949"}, {"ref": "chralbers/feature-eng-and-xgb-from-d-larionov-done-in-r", "kernel_id": "6862591"}, {"ref": "hanisunr/rcw001", "kernel_id": "6331934"}, {"ref": "clair14/lets-end-the-course", "kernel_id": "6385860"}, {"ref": "jagannathrk/predict-future-sales-xgboost", "kernel_id": "6835336"}, {"ref": "akshayt19nayak/classification-vs-regression-gbdt-and-ensembling", "kernel_id": "6620089"}, {"ref": "akshayt19nayak/data-prep", "kernel_id": "6383623"}, {"ref": "abefukasawa/desafio-4-abe", "kernel_id": "6395996"}, {"ref": "lhavanya/predict-future-sales", "kernel_id": "6679351"}, {"ref": "lhavanya/future-sales", "kernel_id": "6679915"}, {"ref": "devipradeep/time-series-forecasting", "kernel_id": "6886521"}, {"ref": "trilokigupta/kernel315c3f7b46", "kernel_id": "6752061"}, {"ref": "dan3dewey/remember-2-sales-in-november", "kernel_id": "6972386"}, {"ref": "kmezhoud/rxgboost-6scores-versus-6params", "kernel_id": "6413835"}, {"ref": "kmezhoud/ggplot-eda", "kernel_id": "6408849"}, {"ref": "marstebi/lstm-with-feature-ranking", "kernel_id": "6758668"}, {"ref": "demon041/sales-prediction", "kernel_id": "6423635"}, {"ref": "kaushal2896/future-sales-prediction-simple-lighgbm", "kernel_id": "6930035"}, {"ref": "princetyagi193/predict-future-sales", "kernel_id": "6386524"}, {"ref": "holoong9291/predict-future-sales", "kernel_id": "6445781"}, {"ref": "sudeepsiddharth/1st-place-solution-part-1-hands-on-data", "kernel_id": "6397814"}, {"ref": "yasirhoque/predicting-sales", "kernel_id": "6099423"}, {"ref": "chenjunbin/xgboost", "kernel_id": "6848586"}, {"ref": "kawakeee/feature-engineering-xgboost", "kernel_id": "6230884"}, {"ref": "xanjay/predict-future-sales", "kernel_id": "6520630"}, {"ref": "codehax41/predict-future-sale", "kernel_id": "6586683"}, {"ref": "dustyturner/data-prep-a-complete-guide", "kernel_id": "6781437"}, {"ref": "chaerink/predict-future-sales-past-12m-weight", "kernel_id": "6958550"}, {"ref": "chaerink/predict-future-sales-middle-off", "kernel_id": "6932844"}, {"ref": "evgenydyshlyuk/1-eda-predictfuturesales", "kernel_id": "6693757"}, {"ref": "mitsuhiro777/predict-future-sales2-ito", "kernel_id": "6224628"}, {"ref": "billynguyen/simple-average-model", "kernel_id": "6125254"}, {"ref": "sarthak017/kernel2d93402f3a", "kernel_id": "6483031"}, {"ref": "sarthak017/kernel3d987c5d6e", "kernel_id": "6417907"}, {"ref": "litemort/single-model-lb-0-9058-by-litemort", "kernel_id": "6223919"}, {"ref": "akshaypaliwal709/time-series-first-try", "kernel_id": "6293016"}, {"ref": "enzodata/predicting-future-sales-for-beginners", "kernel_id": "6236577"}, {"ref": "lizhaoyu97/kernel522cd38f52", "kernel_id": "6069077"}, {"ref": "kmdmustaq/predict-future-sales", "kernel_id": "6332609"}, {"ref": "kwatanwa/future-sales-predict-xgboost-and-rf", "kernel_id": "6276745"}, {"ref": "sangeeta97/sale-prediction-xgboost", "kernel_id": "6757349"}, {"ref": "sangeeta97/time-series-bayesian", "kernel_id": "6758474"}, {"ref": "sangeeta97/sale-prediction", "kernel_id": "6525268"}, {"ref": "raoyama/time-series-basics-exploring-traditional-ts", "kernel_id": "6949909"}, {"ref": "halmogdady/dl-dnn-from-scratch", "kernel_id": "6123475"}, {"ref": "ruixuerub/by-lstm-model", "kernel_id": "6604165"}, {"ref": "abigcleverdog/predict-future-sales-ts-i", "kernel_id": "6842040"}, {"ref": "jeongsumyeong/predict-future-sales-eda-predict", "kernel_id": "6508596"}, {"ref": "jeongsumyeong/kernel796368bc11", "kernel_id": "6634435"}, {"ref": "lenora1231/predict-future-sales", "kernel_id": "6741376"}, {"ref": "lindarit/predict-future-sales-time-series-lr", "kernel_id": "6225672"}, {"ref": "edilek/analysis-of-predict-future-sales-datasets", "kernel_id": "6795065"}, {"ref": "harshitha157/kernel571dce8166", "kernel_id": "6256680"}, {"ref": "sgwood/understanding-the-shops-in-test-and-train", "kernel_id": "6416558"}, {"ref": "hanjiyeoup/kr-rotc-han-ji-yeoup", "kernel_id": "6653805"}, {"ref": "mbrown89/boost-your-score-guaranteed-leaderboard-probing", "kernel_id": "6567092"}, {"ref": "rlckahs/kernel5beb9dce79", "kernel_id": "6677188"}, {"ref": "hyobeen/kaggle-predict-future-sales", "kernel_id": "6573590"}, {"ref": "mercywediah1/kernel1f03479254", "kernel_id": "6429758"}, {"ref": "ikechukuukpa/predict-future-sales-main", "kernel_id": "6569691"}, {"ref": "jeongdaelee/xgb-boost-jeongdae-yejin", "kernel_id": "6677257"}, {"ref": "minhey11/bigdata", "kernel_id": "6688708"}, {"ref": "olatundesodiq/kernel1490f4c540", "kernel_id": "6644121"}, {"ref": "z3npk876/predict-futures-sales-kernel", "kernel_id": "6690750"}, {"ref": "alangarrickbercero/predict-future-sales", "kernel_id": "6703258"}, {"ref": "krishna7sh/a-beginner-guide-for-sale-data-prediction", "kernel_id": "6612777"}, {"ref": "bbosongbbosong/201420627", "kernel_id": "6691673"}, {"ref": "sikkkkkkki95/kernel574162936d", "kernel_id": "6686059"}, {"ref": "sikkkkkkki95/kernel5539d0df23", "kernel_id": "6685553"}, {"ref": "fenilmaisuria/ds-project", "kernel_id": "6713890"}, {"ref": "sgoswami/time-series-basics-exploring-traditional-ts", "kernel_id": "7301682"}, {"ref": "pintowar/sales-predictions-feature-engineering-lgbm", "kernel_id": "7646763"}, {"ref": "gauravkjain/eda-train-data-preparation", "kernel_id": "7659062"}, {"ref": "gauravkjain/modeling-and-training", "kernel_id": "7658441"}, {"ref": "sachina/starter-kernel-for-forecasting-daily-sales-data", "kernel_id": "7915348"}, {"ref": "massyl/predict-future-sales", "kernel_id": "7225682"}, {"ref": "wernerechezuria/predict-future-sales", "kernel_id": "7475840"}, {"ref": "karell/xgb-baseline-advanced-feature-engineering", "kernel_id": "7039922"}, {"ref": "siriusmhlee/predict-future-sales-competition-keras-lstm", "kernel_id": "7949631"}, {"ref": "elfouly/pfs-eda", "kernel_id": "7896425"}, {"ref": "alafan/lightgbm-without-tuning", "kernel_id": "7854015"}, {"ref": "teru0rc4/20191228-predictfuturesales", "kernel_id": "7247260"}, {"ref": "tyoshinaga/predict-future-sales", "kernel_id": "7028586"}, {"ref": "dimonrtm/first-look-on-data", "kernel_id": "7161697"}, {"ref": "dimonrtm/averaging", "kernel_id": "7960537"}, {"ref": "dimonrtm/random-forest-regressor", "kernel_id": "7848018"}, {"ref": "jansens/predict-future-sales-eda-only", "kernel_id": "7172758"}, {"ref": "lonewolf45/coursera-course", "kernel_id": "7469607"}, {"ref": "lonewolf45/coursera-final-project", "kernel_id": "7924209"}, {"ref": "keeperboy/a-little-xgboost", "kernel_id": "7319046"}, {"ref": "jiayigoodweather/predict-future-sales-exploratory-data-analysis", "kernel_id": "7070307"}, {"ref": "meliao/lgb-baseline-top8-clear-code-50-faster", "kernel_id": "7714562"}, {"ref": "ashish2070/kernel14fc0d3c36", "kernel_id": "7703573"}, {"ref": "mustafa32/introduction-about-predicting-monthly-sales", "kernel_id": "7914798"}, {"ref": "tbierhance/develop-data-intuition-translate-russian-names", "kernel_id": "7062409"}, {"ref": "bonesliu10318/predict-reduce-the-samples-in-test", "kernel_id": "7174579"}, {"ref": "ishan1234/future-sales-prediction", "kernel_id": "7827799"}, {"ref": "kenqusun/predict-shop-sales", "kernel_id": "7723571"}, {"ref": "ffchopin/future-sales-forecasting-automatic-sarima-select", "kernel_id": "7985362"}, {"ref": "fredericods/eda-featureengineering-stacking", "kernel_id": "7273808"}, {"ref": "biswajit1998/kernel4fa130305d", "kernel_id": "7522061"}, {"ref": "dustyturner/dense-nn-with-categorical-embeddings", "kernel_id": "7016459"}, {"ref": "masoudmzb/bayesian-optimization-for-lgb", "kernel_id": "7765959"}, {"ref": "saga21/start-with-kaggle-comps-future-sales-v0", "kernel_id": "7041735"}, {"ref": "saga21/future-sales-comp-time-series-prediction-with-lgb", "kernel_id": "7727385"}, {"ref": "mihirahuja01/simple-eda-on-sales-data-subset", "kernel_id": "7487965"}, {"ref": "philboaz/predict-sales-price-using-xgboost-the-best", "kernel_id": "7238576"}, {"ref": "aaroha33/predict-future-sales-time-series", "kernel_id": "7373920"}, {"ref": "romants/assignment-2-category-embeddings", "kernel_id": "7252950"}, {"ref": "saha8631/kernel350f27fe21", "kernel_id": "7844414"}, {"ref": "jesvinho/disaster-nlp", "kernel_id": "7811674"}, {"ref": "faressayah/k-means-clustering-private-vs-public-universities", "kernel_id": "7359980"}, {"ref": "faressayah/knneighbors-private-vs-public-universities", "kernel_id": "7363536"}, {"ref": "raoyama/pfs-lstm-aprroach", "kernel_id": "7206404"}, {"ref": "mohamedalhawi/sales-predictions", "kernel_id": "7134344"}, {"ref": "ahammedjaleel/sales-prediction-lstm", "kernel_id": "7404021"}, {"ref": "ahammedjaleel/sales-prediction-xgboost", "kernel_id": "7279710"}, {"ref": "arifali77/predict-sales-price-using-xgboost", "kernel_id": "7120766"}, {"ref": "arifali77/time-series-basics-exploring-traditional-ts", "kernel_id": "7102356"}, {"ref": "arifali77/deep-learning-for-time-series-forecasting-sales", "kernel_id": "7001640"}, {"ref": "guesejustin/automated-feature-engineering-using-featuretools", "kernel_id": "7022763"}, {"ref": "noeasywayout/eda-fe-lgbm-model", "kernel_id": "7643242"}, {"ref": "rajibdas977/rajib", "kernel_id": "7508442"}, {"ref": "karthick1996/predict-future-sales-time-series-data-eda", "kernel_id": "7359300"}, {"ref": "subhadeep06/predict-monthly-sales", "kernel_id": "7062289"}, {"ref": "idanova/kernel36dac62763", "kernel_id": "7417966"}, {"ref": "joelpires/random-forest-future-sales", "kernel_id": "7233278"}, {"ref": "anang2602/predict-future-sale", "kernel_id": "7354282"}, {"ref": "jiakaicheng/final", "kernel_id": "7000381"}, {"ref": "mohammedhussinghudei/graduation-project", "kernel_id": "7980665"}, {"ref": "tommarzea/dlassignment2-318443595-319041570-209087568-q3", "kernel_id": "7304423"}, {"ref": "matanreinstein/predict-future-price-v2", "kernel_id": "7173425"}, {"ref": "gonile/bgu-dl-goni-hagai-itay", "kernel_id": "7425514"}, {"ref": "adiellazari/kernel1e666a2b67", "kernel_id": "7237778"}, {"ref": "anki112279/sales-count", "kernel_id": "7879796"}, {"ref": "neerjajhingan/arima-future-forecasting", "kernel_id": "7516225"}, {"ref": "yawendeng1/week-6", "kernel_id": "7043314"}, {"ref": "yawendeng1/kernelbef99f97aa", "kernel_id": "7043543"}, {"ref": "yawendeng1/kernel18fd50af66", "kernel_id": "7151890"}, {"ref": "katsuragitetsuya/futuresales", "kernel_id": "7222221"}, {"ref": "noamwunch/predict-the-future-yahalom-noam", "kernel_id": "7441408"}, {"ref": "irfanmansuri/predict-future-sales", "kernel_id": "7698326"}, {"ref": "victoriashishlenina/data-studing-and-the-simpliest-calculation", "kernel_id": "7755108"}, {"ref": "victoriashishlenina/lgbmregressor-and-data-with-lags", "kernel_id": "7756694"}, {"ref": "omerhacohen/kernel394c4f09a1", "kernel_id": "7109995"}, {"ref": "nivdudovitch2/predict-sales-kernel", "kernel_id": "7434733"}, {"ref": "mrpanda23/predictsales", "kernel_id": "7706675"}, {"ref": "manojkumarsahoo/eda-1", "kernel_id": "7706667"}, {"ref": "thinnhong/coursera", "kernel_id": "7930335"}, {"ref": "caneradil/predict-future-sales-analysis", "kernel_id": "8223643"}, {"ref": "tenomoto/kernel-enomon", "kernel_id": "8715977"}, {"ref": "vitrioil/simple-eda-stack", "kernel_id": "8869719"}, {"ref": "aswathrao/eda-initial", "kernel_id": "8923951"}, {"ref": "bluelightning/shop-sales-prediction", "kernel_id": "8152113"}, {"ref": "hassanamin/deep-learning-for-time-series-forecasting", "kernel_id": "8289431"}, {"ref": "sayonwork230/my-submission", "kernel_id": "8908256"}, {"ref": "secretagent99/kernel56c89cd527", "kernel_id": "8046363"}, {"ref": "sanjayar/step-by-step-guide-for-sales-data-prediction-lstm", "kernel_id": "8287948"}, {"ref": "superelephant/chao-data-explore", "kernel_id": "8516903"}, {"ref": "tushar1202/eda-and-forecasting", "kernel_id": "8879148"}, {"ref": "paritoshkr30/future-sales-prediction", "kernel_id": "8859514"}, {"ref": "dagarzon1/initial-eda", "kernel_id": "8930641"}, {"ref": "pierricm/predict-sales-catboost-and-bayesian-optimization", "kernel_id": "8148462"}, {"ref": "sarthakmaggu/predict-sale", "kernel_id": "8896859"}, {"ref": "manojlukhi/predict-future-sales-r-shop-wise-model", "kernel_id": "8086663"}, {"ref": "n123hammer/a-regressive-approach", "kernel_id": "8149715"}, {"ref": "alenavorushilova/grouping-sorting-and-filtering-data-tutorial", "kernel_id": "8182526"}, {"ref": "krishnaagarwal1feb/translate-text-into-different-language", "kernel_id": "8577638"}, {"ref": "latong/time-series-analysis-in-python-fromzerotohero-1", "kernel_id": "8291781"}, {"ref": "danielalexander17/predict-future-sales", "kernel_id": "8346683"}, {"ref": "s17elgho/sales-prediction-competition", "kernel_id": "8528369"}, {"ref": "s17elgho/sales-prediction", "kernel_id": "8271227"}, {"ref": "kgnf0123/howtowincompe-feature-xgboost", "kernel_id": "8759940"}, {"ref": "mohieeldin/complete-guide-using-time-series-and-ml-techniques", "kernel_id": "8385371"}, {"ref": "jesvinho/kaggle-final-1", "kernel_id": "8391066"}, {"ref": "johndev001/future-sales-prediction", "kernel_id": "8509806"}, {"ref": "divyagade/predict-sales", "kernel_id": "8417092"}, {"ref": "jhayescao/predicting-sales", "kernel_id": "8658109"}, {"ref": "ivlucky/coursera-hse-kaggle-model-lgbm", "kernel_id": "8303624"}, {"ref": "eliasgreen/future-is-now-exploration-part", "kernel_id": "8904187"}, {"ref": "tristanleclercq/predict-future-sales-full-solution-xgboost", "kernel_id": "8541449"}, {"ref": "shikhar4128/future-sales-data-analysis-shikhar", "kernel_id": "8273235"}, {"ref": "preetisingla/future-sales-predict-ps", "kernel_id": "8451552"}, {"ref": "nickteim/pipeline-simpel-model", "kernel_id": "8387661"}, {"ref": "shamelesshajar/groupe14-s4", "kernel_id": "8430614"}, {"ref": "siddharthcha519810/easy-prediction-using-lstm", "kernel_id": "8324507"}, {"ref": "deborahvanlalduati/sales-data-prediction", "kernel_id": "8294873"}, {"ref": "tymurprorochenko/in-depth-eda-cb-rf-knn-ensamble", "kernel_id": "8998050"}, {"ref": "alirisheh/predict-future-sell-competition", "kernel_id": "8348991"}, {"ref": "kojiiwase/predict-future-sales-xgboost", "kernel_id": "8469720"}, {"ref": "kojiiwase/kernel2a5069895d", "kernel_id": "8661065"}, {"ref": "kojiiwase/predict-future-sales", "kernel_id": "8358826"}, {"ref": "urayukitaka/to-try-prediction-future-sale", "kernel_id": "8834822"}, {"ref": "chandra03/future-sales-prediction-playground", "kernel_id": "8214549"}, {"ref": "tathagatbanerjee/time-series-basics-exploring-traditional-ts", "kernel_id": "8905966"}, {"ref": "ejunichi/predict-future-sales", "kernel_id": "8188905"}, {"ref": "rajneeshkumar0509/future-sales-prediction-using-deep-learning", "kernel_id": "8469862"}, {"ref": "ralphtankoua/predicting-sales", "kernel_id": "8421847"}, {"ref": "imsanjoykb/predict-future-sales-data-visualization", "kernel_id": "8993162"}, {"ref": "thinnhong/nu-s-model", "kernel_id": "8536111"}, {"ref": "anuppatil16/predict-future", "kernel_id": "8338327"}, {"ref": "jerodriguezro33/projetc-coursera", "kernel_id": "8533943"}, {"ref": "carlobpy/sales-product", "kernel_id": "8142716"}, {"ref": "grindsc/future-sales", "kernel_id": "8736336"}, {"ref": "darwinwin/predict-future-sales-h2o-automl", "kernel_id": "8084938"}, {"ref": "wangqiyuan/predict-future-sales-h2o-automl", "kernel_id": "8112327"}, {"ref": "wangqiyuan/xgb-baseline-advanced-feature-engineering", "kernel_id": "8113223"}, {"ref": "wangqiyuan/predict-future-sales-xgboost", "kernel_id": "8113266"}, {"ref": "yanggyu/pred-sell", "kernel_id": "8850671"}, {"ref": "vladzern/predict-sales-part-1", "kernel_id": "8799665"}, {"ref": "jatanrathod13/learn-arima-time-series", "kernel_id": "8436317"}, {"ref": "shinbg/predict-future-sales", "kernel_id": "8717250"}, {"ref": "maihiguchi/higgori-try", "kernel_id": "8715978"}, {"ref": "jpcamilo407/predict-future-sales", "kernel_id": "8925745"}, {"ref": "derykurniawan/eda-and-sales-forecasting", "kernel_id": "8890421"}, {"ref": "kckamojjala/predict-sales-in-r", "kernel_id": "8778030"}, {"ref": "cairo43227/coursera-final-project-stacking", "kernel_id": "9160136"}, {"ref": "kuberiitb/applied-machine-learning", "kernel_id": "9398582"}, {"ref": "luonganhtuan93/plotting-in-python", "kernel_id": "9299397"}, {"ref": "carlosilva/predict-future-sales-with", "kernel_id": "9419162"}, {"ref": "tyadav/predict-sales", "kernel_id": "9281620"}, {"ref": "indermohanbains/titanic-survivor-prediction", "kernel_id": "9708366"}, {"ref": "indermohanbains/future-sales-prediction", "kernel_id": "9996855"}, {"ref": "shailygupta798/sales-prediction", "kernel_id": "9963376"}, {"ref": "koheimuramatsu/prophet-lightgbm-eda-feature-engineering-tuning", "kernel_id": "9081126"}, {"ref": "alexismayer/predict-futur-sales-text-mining-modeling", "kernel_id": "9977053"}, {"ref": "kennethrithvik/plotting-with-python-learn-80-plots-step-by-step", "kernel_id": "9296438"}, {"ref": "avvinci/time-series-forecasting-beginners", "kernel_id": "9429235"}, {"ref": "rrrrrikimaru/simple-e-to-e-eda-to-ensemble", "kernel_id": "9469076"}, {"ref": "rrrrrikimaru/create-model-simple-e-to-e-eda-to-ensemble", "kernel_id": "9508095"}, {"ref": "vithal2311/sales-prediction-using-random-forest", "kernel_id": "9491577"}, {"ref": "nitindatta/ensemble-learning-part-2-blend-a-smoothie", "kernel_id": "9437842"}, {"ref": "nitindatta/ensemble-learning-part-1", "kernel_id": "9038076"}, {"ref": "defasium/kernel23ac753d1b", "kernel_id": "9373749"}, {"ref": "doodlez/notkernel-onlybullshit", "kernel_id": "9653706"}, {"ref": "alexandervolkov/deep-learning-for-time-series-forecasting", "kernel_id": "9310910"}, {"ref": "muhammadumarfarrukh/sale-prediction", "kernel_id": "9512609"}, {"ref": "flash10042/notebook-for-coursera-without-stacking", "kernel_id": "9940479"}, {"ref": "hikkariprogrammer/model-stacking-eda-fe-lb-probing", "kernel_id": "9729836"}, {"ref": "soham1024/introduction-2d-3d-data-visualization", "kernel_id": "9105665"}, {"ref": "skia1389/extensive-eda", "kernel_id": "9210445"}, {"ref": "mariamihaela07/sale-data-prediction-data-visualization", "kernel_id": "9582939"}, {"ref": "zhengis/zhuman-final", "kernel_id": "9792006"}, {"ref": "aaroha33/learn-machine-learning-in-10-minuites", "kernel_id": "9209434"}, {"ref": "venkat555/lite-how-to-win-a-data-science-competition", "kernel_id": "9121733"}, {"ref": "venkat555/how-to-win-a-data-science-competition", "kernel_id": "9065768"}, {"ref": "rahulbordoloi/time-series-basics-exploring-traditional-ts", "kernel_id": "9475721"}, {"ref": "moresushil/predict-future-sales", "kernel_id": "9199791"}, {"ref": "sultanakhmetbek/akhmetbek-1707", "kernel_id": "9628856"}, {"ref": "kamleshsolanki/future-sale", "kernel_id": "9112576"}, {"ref": "sanilchavan7/train-loan-approval-analyticsvidyhya", "kernel_id": "9672924"}, {"ref": "raymwell/coursera-kumarbekov", "kernel_id": "9607989"}, {"ref": "nikitaminakov61/kernel4f6afeab49", "kernel_id": "9370872"}, {"ref": "puncher/kernelef76e92425", "kernel_id": "9649787"}, {"ref": "abylai57/kernel1ee30ec15", "kernel_id": "9647125"}, {"ref": "golddragon/mukhamedkarimov-final", "kernel_id": "9786280"}, {"ref": "winkin/coursera", "kernel_id": "9631109"}, {"ref": "orazkarl/karl-final", "kernel_id": "9785864"}, {"ref": "harshcasper/using-xg-boost-and-lightgbm", "kernel_id": "9900776"}, {"ref": "yurena/kernel377dc0741a", "kernel_id": "9646899"}, {"ref": "darkhanbolatov/darkhan-bolatov-1707k", "kernel_id": "9653104"}, {"ref": "soziin/kernel664ed35532", "kernel_id": "9646792"}, {"ref": "yelamankakimzhan/kakimzhan", "kernel_id": "9646469"}, {"ref": "nekoaneka/predict-feature-sales-23779", "kernel_id": "9223388"}, {"ref": "imashmedet/final-im", "kernel_id": "9649488"}, {"ref": "whiteway/coursera-final-project-xgb-zhumagulov-akzhol", "kernel_id": "9605215"}, {"ref": "anklav22/kernel478243851b", "kernel_id": "9565462"}, {"ref": "madiaskarov24/kernel-madi-askarov", "kernel_id": "9647855"}, {"ref": "alpamysabduali/kernel77ae36d136", "kernel_id": "9786486"}, {"ref": "goosshv/kernel2b67f84537", "kernel_id": "9797201"}, {"ref": "mariyamomarova/kernel12944dce27", "kernel_id": "9646537"}, {"ref": "kossaibek/kernel729aabfb79", "kernel_id": "9628111"}, {"ref": "gromkz/daruish-alizhan-csse-1708k", "kernel_id": "9640076"}, {"ref": "daniyar777/coursera-final-daniyar-csse-1707", "kernel_id": "9628755"}, {"ref": "arshtematida/kernel4506e5956d", "kernel_id": "9652478"}, {"ref": "ba1taulov/kernel6c962a0a15", "kernel_id": "9800299"}, {"ref": "sabinodes/final-sarsebayeva", "kernel_id": "9642315"}, {"ref": "meirzhan/ml-2-meirzhan", "kernel_id": "9652297"}, {"ref": "galiaskarov/galiaskarov-ilyas-final", "kernel_id": "9651724"}, {"ref": "pakalodnik/ravil-da-3-final-coursera", "kernel_id": "9633426"}, {"ref": "mukhamedali/ensemble-learning", "kernel_id": "9649272"}, {"ref": "arstoktarov/toktarov-1707", "kernel_id": "9651050"}, {"ref": "adilsagimbekow/kernel161792553b", "kernel_id": "9584161"}, {"ref": "meytalbuchatsky/part2", "kernel_id": "9753917"}, {"ref": "shreyatiwari/data-visualization-in-python", "kernel_id": "9106166"}, {"ref": "harshit06/future-sales-prediction", "kernel_id": "9622816"}, {"ref": "vladislav0804/predict-future-sales-top-11-solution", "kernel_id": "9490332"}, {"ref": "urayukitaka/lgbm-time-series-prediction", "kernel_id": "9128353"}, {"ref": "kinahem/kernel2d31cf5f79", "kernel_id": "9339669"}, {"ref": "sal001/google-trends-for-sale-prediction-xgboost", "kernel_id": "9194708"}, {"ref": "fedorlazarev/predict-future-sales-competition", "kernel_id": "9778780"}, {"ref": "nathangolubyevsky/dlw-hw2-q3", "kernel_id": "9694844"}, {"ref": "nimrodhaiat/bgu-dl-masterchefs", "kernel_id": "9670247"}, {"ref": "kareem3egm/learn-machine-learning-faster-1", "kernel_id": "9271522"}, {"ref": "denisechendd/plotly-animation", "kernel_id": "9268882"}, {"ref": "qingchang/a-beginner-guide-for-sale-data-prediction", "kernel_id": "9000705"}, {"ref": "mahadihasantarunno/predict-future-sales", "kernel_id": "9724798"}, {"ref": "mahadihasantarunno/plotting-with-python-learn-80-plots-step-by-step", "kernel_id": "9725176"}, {"ref": "mitceylan/titanicfunctioned", "kernel_id": "9172242"}, {"ref": "davidrivasphd/time-series", "kernel_id": "9149396"}, {"ref": "danielmironov/stacking-models", "kernel_id": "9360939"}, {"ref": "aruzhanturyskulova/kernel3727670728", "kernel_id": "9643905"}, {"ref": "nurseitabdiraimov/kernel5a43d39541", "kernel_id": "9567143"}, {"ref": "dilnazniyazova/kernel27cbd64b6d", "kernel_id": "9651246"}, {"ref": "shavittalman/ex2-predict-future-sales", "kernel_id": "9628003"}, {"ref": "abdulrahmanalqannas/forecasting-future-sales-using-lags", "kernel_id": "9487226"}, {"ref": "sedaelik/160201033", "kernel_id": "9827666"}, {"ref": "dipeshyy/competive-data-science-prediction", "kernel_id": "9258439"}, {"ref": "kolukulurivijaya/kernelbfc1ff5e9e", "kernel_id": "9490884"}, {"ref": "avrahamcalev/assigment-2-deep-learning", "kernel_id": "9642199"}, {"ref": "roylevy/predict-future-sales-roy-yuval", "kernel_id": "9622910"}, {"ref": "tianhaoren/kernel2a53558f7c", "kernel_id": "9000675"}, {"ref": "ramadianri/predict-future-sales", "kernel_id": "9443477"}, {"ref": "rubixcoder19/predict-future-sales", "kernel_id": "9392568"}, {"ref": "bhaskar69shukla/kernel23f52c9a59", "kernel_id": "9530695"}, {"ref": "ra4bht/plotting-with-python-learn-80-plots-mod-ra", "kernel_id": "9286767"}, {"ref": "lakshaymiddha/hackathon-2", "kernel_id": "9579470"}, {"ref": "anrewsazontov/kernel12b1f51b5e", "kernel_id": "9821261"}, {"ref": "mukhamedali1337/final-mukhamedali", "kernel_id": "9652407"}, {"ref": "alisherindigo/kernel38d6a15df0", "kernel_id": "9653677"}, {"ref": "alexgen/kernel5a7ebd1a29", "kernel_id": "9651718"}, {"ref": "zhangeldi/kernel7f00130852", "kernel_id": "9653166"}, {"ref": "harshmg/hackathon2", "kernel_id": "9594875"}, {"ref": "asishmandoi/pred-future-sales", "kernel_id": "9569043"}, {"ref": "dlopezo2/kernel1ee8bdf223", "kernel_id": "9523634"}, {"ref": "ramanthadani/wharton", "kernel_id": "9824869"}, {"ref": "yanivrotaru/predict-future-sales-y-a", "kernel_id": "9675355"}, {"ref": "giovannigraziano/future-sales", "kernel_id": "9614177"}, {"ref": "viktorkoukouliev1/bgu-dl-viktor-matanel", "kernel_id": "9675857"}, {"ref": "krishnaharish/feature-engineering-xgboost", "kernel_id": "10520177"}, {"ref": "xuskorea/courserapredictsales", "kernel_id": "10181566"}, {"ref": "yurikapo01/the-beginning-my-first-public-notebook", "kernel_id": "10541304"}, {"ref": "krrai77/eda-and-prediction-using-tableau", "kernel_id": "10220112"}, {"ref": "bkoseoglu/mean-likelihood-encodings", "kernel_id": "10118267"}, {"ref": "malahai/0-90-lb-feature-engineering-hyperopt-lightgbm", "kernel_id": "10675117"}, {"ref": "kintumiku/hse-coursera-project", "kernel_id": "10186106"}, {"ref": "madjok3r/kernel5900d04f94", "kernel_id": "10348825"}, {"ref": "orcunk/160201019", "kernel_id": "10327700"}, {"ref": "phunghieu/a-quick-dirty-eda", "kernel_id": "10353593"}, {"ref": "jcdevilleres/predict-future-sales-xgboost-feature-engineering", "kernel_id": "10640359"}, {"ref": "wangweiyi/predict-future-sales-20200624", "kernel_id": "10308793"}, {"ref": "eddam123/kou-b-y-k-veri-final-160202061", "kernel_id": "10295594"}, {"ref": "mertuzan/kou-b-y-k-veri-final-160202009", "kernel_id": "10316572"}, {"ref": "rohandeysarkar/future-sales-eda-time-series", "kernel_id": "10791860"}, {"ref": "brkyzdmr/future-sales-prediction-with-cnn-lstm", "kernel_id": "10299247"}, {"ref": "kg2411/kernel2da4306055", "kernel_id": "10469859"}, {"ref": "doodlez/attempt-1-0", "kernel_id": "10617841"}, {"ref": "voyagerone/lstm-embedding-approach", "kernel_id": "10329853"}, {"ref": "byilmaz/160202005-finalodevi", "kernel_id": "10352195"}, {"ref": "giugot87/future-sales-part-i-eda", "kernel_id": "10083361"}, {"ref": "giugot87/future-sales-part-ii-model-training-2", "kernel_id": "10165095"}, {"ref": "giugot87/arima-example", "kernel_id": "10164313"}, {"ref": "iamchiragsharma/sales-eda-multiple-analysis-and-visualizations", "kernel_id": "10246702"}, {"ref": "iqmazif/futuresales-processing", "kernel_id": "10474840"}, {"ref": "jpaguirreg/future-sales-part-ii-model-training-2", "kernel_id": "10403276"}, {"ref": "jpaguirreg/future-sales-part-i-eda", "kernel_id": "10403193"}, {"ref": "ranjitkathiriya/time-series-using-esmable", "kernel_id": "10793241"}, {"ref": "tdenizgez/160201036", "kernel_id": "10333810"}, {"ref": "shruti2719/future-sale-prediction-using-random-forest", "kernel_id": "10429541"}, {"ref": "gordotron85/future-sales-xgboost-top-3", "kernel_id": "10872334"}, {"ref": "yibinx/kernel61bb23be75", "kernel_id": "10088957"}, {"ref": "sadhun/simple-exploration-eda-predict-future-sales", "kernel_id": "10703682"}, {"ref": "aletinto/future-sales-part-ii-model-training-2-2", "kernel_id": "10164240"}, {"ref": "aletinto/future-sales-part-i-eda", "kernel_id": "10083340"}, {"ref": "snanilim/sales-preprocessing-and-prediction-by-xgboost", "kernel_id": "10527120"}, {"ref": "sureshmecad/predict-future-sales-playground", "kernel_id": "10057541"}, {"ref": "wenes394/blm442-b-y-k-veri-finali-170201088", "kernel_id": "10348978"}, {"ref": "iekaterina/random-forest-regression", "kernel_id": "10088450"}, {"ref": "iekaterina/lstm-and-just-one-feature-tensorflow", "kernel_id": "10943635"}, {"ref": "loleiying/sales-analysis-through-visualization", "kernel_id": "10274491"}, {"ref": "jesvinho/fork-of-coursera-1", "kernel_id": "10105611"}, {"ref": "karam123/future-sales-prediction", "kernel_id": "10394706"}, {"ref": "alihaydargol/bigdatafinalexam", "kernel_id": "10295572"}, {"ref": "kabakulakk/finalproject", "kernel_id": "10294661"}, {"ref": "vitalygryaznov/predict-sales", "kernel_id": "10371785"}, {"ref": "naimur978/who-ll-sell-the-most", "kernel_id": "10533990"}, {"ref": "mcarujo/time-serie-oil-prices-x-avocado-prices", "kernel_id": "10706117"}, {"ref": "subbhashit/sales-prediction-analysis-and-visualization", "kernel_id": "10211768"}, {"ref": "abhijeetbhilare/future-sales-lstm", "kernel_id": "10998149"}, {"ref": "fluxqubit/predication-ds", "kernel_id": "10157216"}, {"ref": "ffekinci/big-data-final", "kernel_id": "10285933"}, {"ref": "farrasalyafi/eda-modeling-sarima-prophet", "kernel_id": "10346736"}, {"ref": "divyamgarg12/visualization", "kernel_id": "10225126"}, {"ref": "shubhamrgandhi/feature-engineering-ensembling", "kernel_id": "10236324"}, {"ref": "saniyaparveez/predicting-future-sales", "kernel_id": "10951784"}, {"ref": "laplaudjose/future-sales-part-i-eda", "kernel_id": "10818712"}, {"ref": "pluwjin/160201039", "kernel_id": "10274607"}, {"ref": "fpasaoglu/final-160201056", "kernel_id": "10323873"}, {"ref": "krishnaheroor/predict-future-sales", "kernel_id": "10092165"}, {"ref": "juandag97/xgboost-jd", "kernel_id": "10507969"}, {"ref": "juandag97/prediction-sample", "kernel_id": "10368864"}, {"ref": "danoozy44/future-sales-practical-eda-for-dummies", "kernel_id": "10180508"}, {"ref": "danoozy44/time-series-future-sales-wacky-approach", "kernel_id": "10036459"}, {"ref": "alibizhan/predicting-sales", "kernel_id": "10252594"}, {"ref": "matejhorvat/prices", "kernel_id": "10277003"}, {"ref": "sevdekaskaya/150201137", "kernel_id": "10344959"}, {"ref": "memoson/150201247", "kernel_id": "10276800"}, {"ref": "nareshbhat/outlier-the-silent-killer", "kernel_id": "10533521"}, {"ref": "nareshbhat/eda-within-snap-of-fingers", "kernel_id": "10614316"}, {"ref": "nareshbhat/data-visualization-in-just-one-line-of-code", "kernel_id": "10626466"}, {"ref": "nareshbhat/starter-guide-to-build-nlp-ml-model-in-pycaret", "kernel_id": "10930879"}, {"ref": "prashantlal/future-sale-prediction", "kernel_id": "10623016"}, {"ref": "mahmoodhoseini/tidy-notebook-mlp-cnn-lstm", "kernel_id": "10807369"}, {"ref": "mahmoodhoseini/predict-future-sale-with-dl", "kernel_id": "10296107"}, {"ref": "soheilarouhi/simple-method-future-sales-prediction", "kernel_id": "10847485"}, {"ref": "priyasingh7655/predict-future-sales", "kernel_id": "10939446"}, {"ref": "srivastava09/predict-future-sales-xgboost", "kernel_id": "10979258"}, {"ref": "srivastava09/predict-future-sales-timeseries", "kernel_id": "10718158"}, {"ref": "kumarranjankamila/applied-machine-learning", "kernel_id": "10708575"}, {"ref": "ramshasiddiqui/kernel261f0af835", "kernel_id": "10939518"}, {"ref": "igorkoryagin/fin-project", "kernel_id": "10934303"}, {"ref": "emrekara98/kou-buyuk-veri-160202094-m-emre-kara", "kernel_id": "10329554"}, {"ref": "gaurav2022/predict", "kernel_id": "10295695"}, {"ref": "mandarkulkarnipune/predict-future-sales", "kernel_id": "10603788"}, {"ref": "berkaycapar/160201085", "kernel_id": "10318687"}, {"ref": "ufukilik/170202096", "kernel_id": "10343622"}, {"ref": "ihtiyarati/150202048", "kernel_id": "10347700"}, {"ref": "ayacokun/160202021-b-y-k-veri-final", "kernel_id": "10352577"}, {"ref": "mertcankaraku/160202038-b-y-k-veri-final-devi", "kernel_id": "10352072"}, {"ref": "zgrdemir/finalproject", "kernel_id": "10235182"}, {"ref": "cembayr/project", "kernel_id": "10185811"}, {"ref": "yaseminelvan/130201020", "kernel_id": "10196507"}, {"ref": "kazuyaminakuchi/japanese-predict-future-sales", "kernel_id": "10371779"}, {"ref": "doukanberkberber/predict-with-xgboost", "kernel_id": "10260080"}, {"ref": "doukanberkberber/simple-predict-with-xgboost", "kernel_id": "10271435"}, {"ref": "davikrause/predict-future-sales-xgboost-e-rf-com-lagfeatures", "kernel_id": "10221012"}, {"ref": "ttalbitt/simple-average", "kernel_id": "10819202"}, {"ref": "mervetafral/b-y-k-veri-final-160202100", "kernel_id": "10166804"}, {"ref": "sleymantc/bigdatafinal", "kernel_id": "10298770"}, {"ref": "fratkaplan/forecast-with-prophet22", "kernel_id": "10276166"}, {"ref": "bedirhannar/finalodevi", "kernel_id": "10288625"}, {"ref": "sinanyzgld/big-data-final-160201075", "kernel_id": "10342595"}, {"ref": "edanurtosun/et-160202098", "kernel_id": "10167673"}, {"ref": "busgenc/bigdata-final", "kernel_id": "10333690"}, {"ref": "smailemre/150202056-b-y-k-veri-final", "kernel_id": "10348758"}, {"ref": "murataltnay/b-y-k-veri-final-170202109", "kernel_id": "10258460"}, {"ref": "sumittak/future-sales-feature-modelling", "kernel_id": "10632704"}, {"ref": "nurselcandiroglu/160202004", "kernel_id": "10342965"}, {"ref": "nurselcandiroglu/160202004-final", "kernel_id": "10349427"}, {"ref": "furkanakar/160201016", "kernel_id": "10335030"}, {"ref": "fatmanurgner/160201048", "kernel_id": "10332186"}, {"ref": "muhammedalidilekci/160202093-b-y-k-veri-final", "kernel_id": "10351452"}, {"ref": "canberkdeniz/kou-b-y-k-veri-analizi-130201092", "kernel_id": "10350373"}, {"ref": "yasinfurkanuzunz/kernel5ed115e65e", "kernel_id": "10352064"}, {"ref": "kbrayldrm/ko-b-y-k-veri-final-160202027", "kernel_id": "10289382"}, {"ref": "emirhanarslan/150201109", "kernel_id": "10318886"}, {"ref": "atahepen/kernel3c6a574811", "kernel_id": "10136153"}, {"ref": "berkenl/150202090-berke-nl", "kernel_id": "10348623"}, {"ref": "dogukanozcan/150202004", "kernel_id": "10346625"}, {"ref": "dhiiyaur/predict-future-sales-lgbm-hyperparameter-optuna", "kernel_id": "10863292"}, {"ref": "dhiiyaur/predict-future-sales-exploring-data", "kernel_id": "10466272"}, {"ref": "ishantj/future-sales", "kernel_id": "10837161"}, {"ref": "nazilkbahar/gelecekteki-sat-lar-tahmin-etme", "kernel_id": "10278745"}, {"ref": "salti96/kernel9dbca3756a", "kernel_id": "10870090"}, {"ref": "serkanyava/ko-b-y-k-veri-final-160202063", "kernel_id": "10326727"}, {"ref": "suleymancankaya/bigdatafinal-s-leymancankaya", "kernel_id": "10335194"}, {"ref": "aysinrodop/kernel49f1274922", "kernel_id": "10351956"}, {"ref": "lauraportell/future-sales-part-i-eda", "kernel_id": "10083241"}, {"ref": "lauraportell/future-sales-part-ii-model-training-2", "kernel_id": "10165209"}, {"ref": "mushfiqurrobin/future-sales-prediction", "kernel_id": "10037746"}, {"ref": "swatisk2702/predict-shop-sales-xgboost", "kernel_id": "10929504"}, {"ref": "swatisk2702/predict-sales-timeseries", "kernel_id": "10718115"}, {"ref": "josemarrugo/predictionsales", "kernel_id": "10001010"}, {"ref": "nedretgegeolu/kernel439f3688ac", "kernel_id": "10345427"}, {"ref": "dihitman/di-hitman-hack2", "kernel_id": "10341521"}, {"ref": "andrsdellamo/ejercicios-eda-nico", "kernel_id": "10896514"}, {"ref": "sanaeelkhteb/future-sales-part-i-eda", "kernel_id": "10818728"}, {"ref": "sanaeelkhteb/future-sales-part-ii-model-training-2", "kernel_id": "10836981"}, {"ref": "khoassg/kernel4d852d7673", "kernel_id": "10410454"}, {"ref": "xavidonatediaz/future-sales-part-ii-model-training-2", "kernel_id": "10165127"}, {"ref": "xavidonatediaz/future-sales-part-i-eda", "kernel_id": "10084968"}, {"ref": "nafemuhtasim/applied-machine-learning", "kernel_id": "10326445"}, {"ref": "barisberkay/kernel5a9e358e29", "kernel_id": "10351988"}, {"ref": "bernaerol/160201005", "kernel_id": "10189164"}, {"ref": "takaomikadokura7069/hands-on-vol5", "kernel_id": "10262146"}, {"ref": "pratikbarua/predict-future-sale", "kernel_id": "10037579"}, {"ref": "nupurdogra2020/a-beginner-guide-for-sale-data-prediction", "kernel_id": "10294182"}, {"ref": "namanjain94/project-submission", "kernel_id": "10308294"}, {"ref": "mikkelnei/simple-predict-with-xgbregressor", "kernel_id": "10272688"}, {"ref": "abdelwakilbenabdi/predict-future-sales", "kernel_id": "10668275"}, {"ref": "cathyyan37/predict-future-sales-coursera-final-project", "kernel_id": "10708287"}, {"ref": "ricardobraco/kernel2284860e20", "kernel_id": "10281465"}, {"ref": "mary14wh/lacoste-2", "kernel_id": "10588837"}, {"ref": "juanpabloguzmanb/jpg-data-analysis", "kernel_id": "10839890"}, {"ref": "carlossebastiangomez/kernel497feb2e35", "kernel_id": "10637234"}, {"ref": "asiaahmedabushawish/predict-future-sales", "kernel_id": "10751660"}, {"ref": "abdalazez/predict-future-sales-2-0", "kernel_id": "10909975"}, {"ref": "abdalazez/predict-future-sales", "kernel_id": "10909883"}, {"ref": "ahmedmurad1990/predict-future-sales", "kernel_id": "10890265"}, {"ref": "ahmedmurad1990/first-competition", "kernel_id": "10675728"}, {"ref": "juanosorio26/submission-juanosorio", "kernel_id": "10956523"}, {"ref": "juanosorio26/submission-2020", "kernel_id": "10969369"}, {"ref": "mertcanta/140202036", "kernel_id": "10335493"}, {"ref": "sebasg1609/sebasg", "kernel_id": "10908084"}, {"ref": "barisalpaydin/barisalpaydin", "kernel_id": "10330293"}, {"ref": "silvermino/kernel2134d6a27c", "kernel_id": "10556990"}, {"ref": "catgigi/kernel6c1b92753c", "kernel_id": "10720703"}, {"ref": "catgigi/kernel50eddf0690", "kernel_id": "10720429"}, {"ref": "catgigi/kernel73322eb19e", "kernel_id": "10963422"}, {"ref": "kadircanozdemir/naive-bayes-150202080", "kernel_id": "10327967"}, {"ref": "martineliaszz/kernel4c0d184d57", "kernel_id": "10345618"}, {"ref": "tarikozturk/150202032", "kernel_id": "10343450"}, {"ref": "yaaraltunba/150202078-bigdata-final", "kernel_id": "10344808"}, {"ref": "sssatokichi/kernel4779e93333sagyou", "kernel_id": "10804955"}, {"ref": "washerman/predict-future-sales", "kernel_id": "10704404"}, {"ref": "carlosrosas/future-sales-part-i-eda-cr", "kernel_id": "10913164"}, {"ref": "rociojube/future-sales-part-i-eda-rocio", "kernel_id": "10818701"}, {"ref": "rociojube/future-sales-part-ii-model-training-2-rocio", "kernel_id": "10836932"}, {"ref": "davidrestrepop/courserafp-v4", "kernel_id": "10713868"}, {"ref": "czf3117001389/predict-future-sales-czf", "kernel_id": "10873764"}, {"ref": "philiphiggins/kernel5e4889a3d9", "kernel_id": "10869362"}, {"ref": "pablotunon/pablo-tunon", "kernel_id": "11975444"}, {"ref": "yashudua/sales-viz-prediction-private-0-86289", "kernel_id": "11289713"}, {"ref": "shams1/time-series-basics-exploring-traditional-ts", "kernel_id": "11634129"}, {"ref": "cyferino/simple-exploration-and-modelling", "kernel_id": "11257359"}, {"ref": "choewoochul/predict-sales", "kernel_id": "11380736"}, {"ref": "ckristensen/russian-national-days", "kernel_id": "11988204"}, {"ref": "poudrouxj/wip-experimental-gbdt-vs-tabnet", "kernel_id": "11288544"}, {"ref": "nishant483/time-series-analysis-using-lstm", "kernel_id": "11658762"}, {"ref": "astaroth88/predicting-sales", "kernel_id": "11022512"}, {"ref": "u601372/sales-prediction-data-mining", "kernel_id": "11588360"}, {"ref": "vineetsingla13/1st-notebook", "kernel_id": "11131042"}, {"ref": "defunator/only-xgboost-model", "kernel_id": "11033224"}, {"ref": "simhashourya/arima-models-for-beginners-xgboost", "kernel_id": "11213448"}, {"ref": "marcelotsj/fe-for-time-series-and-lgbm", "kernel_id": "11665505"}, {"ref": "sjaddya/xgbmodel-with-feature-selection", "kernel_id": "11870893"}, {"ref": "kgehring/bayesridge", "kernel_id": "11354472"}, {"ref": "leoisleo1/future-sales-3", "kernel_id": "11415734"}, {"ref": "lalbabusah/predict-future-sales", "kernel_id": "11045559"}, {"ref": "amanooo/future-sales-pred-by-the-approximate-expression", "kernel_id": "11950392"}, {"ref": "jessicakoehnke/final-submission", "kernel_id": "11292720"}, {"ref": "ccchevalier/kernel6c204a7e54", "kernel_id": "11042038"}, {"ref": "guireis/model-stacking-feature-engineering-and-eda", "kernel_id": "11168101"}, {"ref": "an0utlier/predict-future-sales-using-data-science-approach", "kernel_id": "11100351"}, {"ref": "sak2129/prediction-linear-randomforest-xgb-nn-models", "kernel_id": "11661162"}, {"ref": "mkahraman19/eda-time-series", "kernel_id": "11929580"}, {"ref": "uladzimirkapeika/feature-engineering-lightgbm-top-1", "kernel_id": "11437010"}, {"ref": "elduartep/predict-future-sales-xgboost", "kernel_id": "11155966"}, {"ref": "brampaap/feature-engineering-and-xgboost-catboost-stacking", "kernel_id": "11163611"}, {"ref": "biggohh/advanced-features-using-word-embeddings", "kernel_id": "11245548"}, {"ref": "fguinier/aml-data-science-competition", "kernel_id": "11145728"}, {"ref": "fguinier/aml-predict-future-sale-models", "kernel_id": "11853270"}, {"ref": "fguinier/amd-predict-future-sale-eda-and-data-preparation", "kernel_id": "11720654"}, {"ref": "gandagorn/data-exploration-and-price-prediction-ensemble", "kernel_id": "11649889"}, {"ref": "laplaudjose/future-sales-part-ii-model-training-2-1c44f1", "kernel_id": "11437072"}, {"ref": "zhangyunsheng/xgboost", "kernel_id": "11327953"}, {"ref": "ram852/final-project-eda", "kernel_id": "11173708"}, {"ref": "zedafea/notebook6600ac98a1", "kernel_id": "11812918"}, {"ref": "codetoimprove/predict-future-sales-basic-averages", "kernel_id": "11397774"}, {"ref": "codetoimprove/predict-future-sales-baseline", "kernel_id": "11401479"}, {"ref": "elvinagammed/plotting-with-python-learn-80-plots-step-by-step", "kernel_id": "11505173"}, {"ref": "elvinagammed/stacked-lstm-top-5-4-mae", "kernel_id": "11506218"}, {"ref": "elvinagammed/download-csv-file-from-kernel-as-link-kaggle", "kernel_id": "11445859"}, {"ref": "fathialasali/predict-future-sales-comp", "kernel_id": "11843256"}, {"ref": "wwagner4/ww-tryout", "kernel_id": "11414428"}, {"ref": "queensaikia/time-series-analysis-with-feature-engineering", "kernel_id": "11614321"}, {"ref": "princepatel9224/predict-sales-time-series-arima-model", "kernel_id": "11334690"}, {"ref": "muzzamilnadeem/sales-pred", "kernel_id": "11875385"}, {"ref": "akhilkasare/predict-future-sales-using-lstm-simple-and-easy", "kernel_id": "11597085"}, {"ref": "idaoluoch/timeseries-sn1", "kernel_id": "11584237"}, {"ref": "mariaanson/predict-future-sales-price-week2", "kernel_id": "11178039"}, {"ref": "sho123/predict-future-sales", "kernel_id": "11528953"}, {"ref": "otonyeamietubodie/future-sales", "kernel_id": "11271013"}, {"ref": "jswxhd/sales-predicting-and-analysis-gbtree-shap-values", "kernel_id": "11154919"}, {"ref": "lukasbormann/visualizing-key-insights", "kernel_id": "11895214"}, {"ref": "leeyongsung/notebooke05573e410", "kernel_id": "11985139"}, {"ref": "nishanthnarayanan/future-sales-prediction", "kernel_id": "11607611"}, {"ref": "kamalkhumar/future-sales-prediction", "kernel_id": "11605460"}, {"ref": "ssaisuryateja/sale-prediction", "kernel_id": "11301120"}, {"ref": "swatisk2702/predict-shop-sales-xgboost-2", "kernel_id": "11080089"}, {"ref": "vedato/futuresales", "kernel_id": "11322848"}, {"ref": "bilbobaker/predicting-future-sales-eda", "kernel_id": "11451023"}, {"ref": "tomonorisasaki/eda-and-data-visualization-of-predict-future-sales", "kernel_id": "11994463"}, {"ref": "yunchuangao/future-sales-ml-xgboost", "kernel_id": "11635975"}, {"ref": "abhishekanand101/predicting-sales", "kernel_id": "11687718"}, {"ref": "zachariahrosenberg/pfs-zr", "kernel_id": "11813749"}, {"ref": "tracyporter/predict-future-sales-1c-using-sequential", "kernel_id": "11132920"}, {"ref": "razanabudagen/future-sales-prediction-using-xgbregressor", "kernel_id": "11063801"}, {"ref": "abdalazez/predict-future-sales-2020", "kernel_id": "11924045"}, {"ref": "imoore/awesome-visualizations", "kernel_id": "11326200"}, {"ref": "imoore/titanic-approach-eda", "kernel_id": "11365083"}, {"ref": "imoore/large-stock-market-visualizations", "kernel_id": "11384467"}, {"ref": "imoore/easy-tutorial-for-plotting-with-python", "kernel_id": "11384500"}, {"ref": "imoore/ensemble-modeling-learning-to-predict-future-sales", "kernel_id": "11415976"}, {"ref": "hanantabak/future-sale-prediction-using-xgbregressor", "kernel_id": "11658081"}, {"ref": "diksha659/predict-future-sales", "kernel_id": "11366593"}, {"ref": "fabiogomez28/predictions", "kernel_id": "11194427"}, {"ref": "jnavarrov/predictionsales", "kernel_id": "11211721"}, {"ref": "carlosrosas/fork-of-future-sales-part-ii-model-training-2-carl", "kernel_id": "11086476"}, {"ref": "kamiljan/kernel375f4c9b20", "kernel_id": "11053752"}, {"ref": "shoheinakajima/russian-to-en-notebookef20911d2b", "kernel_id": "11233746"}, {"ref": "shoheinakajima/fork-of-russian-to-en-notebookef20911d2b", "kernel_id": "11251071"}, {"ref": "shoheinakajima/fork-of-fork-of-fork-of-russian-to-en-notebookef", "kernel_id": "11346513"}, {"ref": "ibrahimnofal/sale-data-prediction-time-series", "kernel_id": "11052717"}, {"ref": "subini/sales-prediction", "kernel_id": "11360482"}, {"ref": "abhishektyagi001/predict-future-sales", "kernel_id": "11865304"}, {"ref": "pranishramteke/sales-prediction", "kernel_id": "11818241"}, {"ref": "namylase/future-sales-xgb-first-sale-features", "kernel_id": "11815296"}, {"ref": "rehfres/predict-future-sales", "kernel_id": "11806464"}, {"ref": "santiagoz/finalproject", "kernel_id": "11927406"}, {"ref": "rajsiddharth/notebook949123344d", "kernel_id": "12214172"}, {"ref": "pablomonleon/predict-future-sales-arima-prophet-xgboost", "kernel_id": "12731259"}, {"ref": "amrnasr/predictfuturesales-data-analysis", "kernel_id": "12175549"}, {"ref": "arbazkhan971/datascience-for-beginner-python", "kernel_id": "12092239"}, {"ref": "cristianfat/sales-prediction", "kernel_id": "12079052"}, {"ref": "buzzinga007/preprocess", "kernel_id": "12947868"}, {"ref": "nielsrogge/middle-out-approach-with-pytorch-ts-zalando", "kernel_id": "12182263"}, {"ref": "kukuchiku/predict-future-sales-using-lstm", "kernel_id": "12267946"}, {"ref": "christianalvarez/time-series-analysis", "kernel_id": "12671947"}, {"ref": "minmyk/sales-data-prep", "kernel_id": "12831402"}, {"ref": "minmyk/sales-xgb", "kernel_id": "12815684"}, {"ref": "ngc224/predict-future-sales-eda-and-lstm-prediction", "kernel_id": "12563412"}, {"ref": "rishitchs/data-preprocessing-and-xgboost-regressor-model-old", "kernel_id": "12369135"}, {"ref": "anujsoni/random-forest-ensemble-learning", "kernel_id": "12244404"}, {"ref": "soham1024/plotly-all-visualizations", "kernel_id": "12484299"}, {"ref": "sagarkolte/industrialproblemsv1-0", "kernel_id": "12222758"}, {"ref": "andrex55/notebook-fp-1", "kernel_id": "12099821"}, {"ref": "starktony45/xgboost", "kernel_id": "12835182"}, {"ref": "ramiras/labar3", "kernel_id": "12873098"}, {"ref": "alizahidraja/future-sales-masters", "kernel_id": "12760159"}, {"ref": "charles75/sales-forecast-univariate-and-multivariate-lstm", "kernel_id": "12616107"}, {"ref": "dimitry2ishenko/eda-train-and-predict-using-xgboost", "kernel_id": "12101535"}, {"ref": "taidopurason/randomforest-model", "kernel_id": "12122701"}, {"ref": "taidopurason/stacked-model", "kernel_id": "12133948"}, {"ref": "taidopurason/lightgbm-model", "kernel_id": "12128912"}, {"ref": "taidopurason/eda-preprocessing-feature-engineering", "kernel_id": "12002833"}, {"ref": "taidopurason/xgboost-model", "kernel_id": "12074954"}, {"ref": "mohamedhanyyy/predict-future-sales-using-lstm", "kernel_id": "12648417"}, {"ref": "brajkishore8963/predicting-future-sales", "kernel_id": "12258226"}, {"ref": "ibrahimshabak/notebook27c633d7e2", "kernel_id": "12354701"}, {"ref": "avhisheksingh/predict-future-sales-project", "kernel_id": "12915008"}, {"ref": "locbachelot/sales-prediction", "kernel_id": "12003694"}, {"ref": "omidroshani/predict-future-sales", "kernel_id": "12084242"}, {"ref": "tanujdhiman/predict-future-sales-analysis", "kernel_id": "12189178"}, {"ref": "javagarm/predict-future-sales-using-xgboost", "kernel_id": "12231893"}, {"ref": "jayantawasthi/rnn-used-to-predict-future-sales", "kernel_id": "12183193"}, {"ref": "umanglohani/notebook1", "kernel_id": "12501846"}, {"ref": "misaelnatanael/ts-intro-traditional-statistical-analysis", "kernel_id": "12179777"}, {"ref": "farhansadaf/predict-future-sales-a-basic-guide", "kernel_id": "12109288"}, {"ref": "moamennasser/a-beginner-guide-for-sale-data-prediction", "kernel_id": "12064782"}, {"ref": "abhishekanand101/copied-notebook-predict-future-sales", "kernel_id": "12277186"}, {"ref": "orhankaramancode/eda-with-plotly-and-reframing-the-time-series", "kernel_id": "12221149"}, {"ref": "tracyporter/predict-sales-ada-boost", "kernel_id": "12147444"}, {"ref": "haydngriffith/data-science-workflow-template", "kernel_id": "12018419"}, {"ref": "weixsu/ts-future-sales-prediction", "kernel_id": "12118313"}, {"ref": "stevemoyang/time-series-basics-exploring-traditional-ts", "kernel_id": "12312160"}, {"ref": "shunyayao/predicting-sales-with-a-nested-lstm", "kernel_id": "12229429"}, {"ref": "krajiv2018/predict-future-sales-using-rnn", "kernel_id": "12434976"}, {"ref": "chethandv/notebook4fa487d6c6", "kernel_id": "12479797"}, {"ref": "vladimirperdih/predicting-sales-workflow-linear-regression", "kernel_id": "12471754"}, {"ref": "benjaminhthomas/modern-forecasting", "kernel_id": "12649339"}, {"ref": "catholpython/predict-sales", "kernel_id": "12961766"}, {"ref": "sridharjayadavan/predict-sales-tut", "kernel_id": "12071968"}, {"ref": "namndt/predict-future-sales", "kernel_id": "12795552"}, {"ref": "yamirlopez/kaggle-01", "kernel_id": "12213027"}, {"ref": "curibe10/final-project-curibe-co-part-2-2", "kernel_id": "12597183"}, {"ref": "curibe10/final-project-curibe-co-part-1-2", "kernel_id": "12597094"}, {"ref": "cfsanti/predicting-future-sales", "kernel_id": "12221102"}, {"ref": "jorgefrancorojas/notebook2c817da08f", "kernel_id": "12343625"}, {"ref": "dky6081/notebookd73b47f10e", "kernel_id": "12816100"}, {"ref": "tanpatk/predict-future-sales-database-merge", "kernel_id": "12994619"}, {"ref": "oscarjvargasm/notebook8ff3c0f01c", "kernel_id": "12541307"}, {"ref": "prerit92/notebook3d1d9fa08b", "kernel_id": "12690718"}, {"ref": "haaaaaru/pizza1", "kernel_id": "12945183"}, {"ref": "erenturkm/future-sales-prediction-with-multiple-models", "kernel_id": "13679764"}, {"ref": "rsesha/pycaret-vs-auto-viml-on-reg-class-nlp", "kernel_id": "13005350"}, {"ref": "andrescardona/project", "kernel_id": "13549996"}, {"ref": "jokers/sales-prediction-2", "kernel_id": "13123611"}, {"ref": "jokers/sales-prediction-1", "kernel_id": "13072476"}, {"ref": "howeverforever/future-sales-xgb-lgbm-lstm", "kernel_id": "13558924"}, {"ref": "mobasshir/baseline-on-predicting-future-sales", "kernel_id": "13031899"}, {"ref": "kesler/final-project-models", "kernel_id": "13376093"}, {"ref": "kesler/final-project-eda", "kernel_id": "13376146"}, {"ref": "kondrash2206/work-on-sales-prediction-v1", "kernel_id": "13958020"}, {"ref": "lucashsmello/sales-eda-feature-engineering-and-regression", "kernel_id": "13341009"}, {"ref": "janisjuppe/automatic-feature-extraction-with-tsfresh", "kernel_id": "13858248"}, {"ref": "lalexwest/final-project", "kernel_id": "13732324"}, {"ref": "speeddemon/004-xgb", "kernel_id": "13337154"}, {"ref": "kawass/1st-eda-pandas-profiling", "kernel_id": "13422471"}, {"ref": "rishitchs/data-preprocessing-and-xgboost-regressor-model", "kernel_id": "13221835"}, {"ref": "futurestan/preprocess-visualization-linreg-dtree-randomforest", "kernel_id": "13212382"}, {"ref": "obougacha/coursera-challenge", "kernel_id": "13623795"}, {"ref": "danielefm/how-to-win-a-data-science-competition-eda", "kernel_id": "13328873"}, {"ref": "andreshg/eda-beginner-to-expert-plotly", "kernel_id": "13660273"}, {"ref": "deepdivelm/feature-engineering-lightgbm-exploring-performance", "kernel_id": "13938092"}, {"ref": "stephenyang0215/time-series-prediction", "kernel_id": "13208951"}, {"ref": "bhavikjain/predict-future-sales", "kernel_id": "13459956"}, {"ref": "quratjaffery/notebookce772f8ba2", "kernel_id": "13988375"}, {"ref": "alfonsocubillos/sales-predict", "kernel_id": "13208530"}, {"ref": "alfonsocubillos/notebook8ff3c0f01c", "kernel_id": "13550440"}, {"ref": "baakkzlay/sales-preprocessing-and-prediction-by-xgboost", "kernel_id": "13196251"}, {"ref": "junjiemiao/mjj-feature-engineering-xgboost", "kernel_id": "13168041"}, {"ref": "yasserhessein/predict-future-sales-using-deep-learning", "kernel_id": "13381629"}, {"ref": "sylvainfriot/predict-future-sales-features-distribution", "kernel_id": "13849028"}, {"ref": "sylvainfriot/an-economic-oriented-feature-engineering", "kernel_id": "13224582"}, {"ref": "noahfinberg/advanced-featured-engineering-and-ensembling", "kernel_id": "13971255"}, {"ref": "noahfinberg/feature-engineering-and-initial-gbt-model", "kernel_id": "13834482"}, {"ref": "noahfinberg/eda-previous-value-benchmark", "kernel_id": "13804805"}, {"ref": "llusblasco/future-sales-part-ii-model-training-2-cb3104", "kernel_id": "13357676"}, {"ref": "llusblasco/future-sales-part-i-eda-c30ae9", "kernel_id": "13075959"}, {"ref": "santiagodubov/lightgbm-solution", "kernel_id": "13910163"}, {"ref": "ezeanyi/predicting-future-sales-with-neural-networks", "kernel_id": "13014913"}, {"ref": "simiyen/171307052-buyuk-veri-projesi", "kernel_id": "13816328"}, {"ref": "aeryss/predict-future-sales-training-inference", "kernel_id": "13275093"}, {"ref": "swapnamandava/notebook1acfb22350", "kernel_id": "13389707"}, {"ref": "sercanorc/161307008", "kernel_id": "13797446"}, {"ref": "merertan/171307058-buyuk-veri-analizi-projesi", "kernel_id": "13829785"}, {"ref": "ywhenlyn/predict-future-sales-data-tidying-prediction", "kernel_id": "13070391"}, {"ref": "maltesauerwein/systematic-feature-engineering", "kernel_id": "13609450"}, {"ref": "deepode/predict-sales1", "kernel_id": "13479213"}, {"ref": "raghavendra1193/raghav-playground-prediction", "kernel_id": "13147452"}, {"ref": "benjaminhthomas/modern-forecasting-with-python", "kernel_id": "13308472"}, {"ref": "luisbec/notebook2ce501116b", "kernel_id": "13516078"}, {"ref": "harrabiraouf/final-project", "kernel_id": "13192774"}, {"ref": "taranenkodaria/predict-future-sales-the-russian-forecast", "kernel_id": "13204603"}, {"ref": "reemetammer/notebook2f39871ce0", "kernel_id": "13466399"}, {"ref": "aurkomukhopadhyay/predict-future-sales-r", "kernel_id": "13249561"}, {"ref": "aurbcd/predict-future-sales-competition", "kernel_id": "13761639"}, {"ref": "diegomazorra/future-sales-3", "kernel_id": "13045393"}, {"ref": "sonianikiema/forecasting-predict-future-sales-arima-model-in-r", "kernel_id": "13110727"}, {"ref": "emilianaflores/future-sales-part-ii-model-training-2", "kernel_id": "13345840"}, {"ref": "emilianaflores/future-sales-part-i-eda", "kernel_id": "13274261"}, {"ref": "fernandoitallo/predict-future-sales-data-exploration-itallo", "kernel_id": "13780003"}, {"ref": "simonhse/notebooka645461d44", "kernel_id": "13887995"}, {"ref": "reuslll/predict-future-sales-by-decision-tree", "kernel_id": "13050928"}, {"ref": "lmarcelactapasco/coursera-challenge-predicting-future-sales", "kernel_id": "13038170"}, {"ref": "miguelangelparrado/future-sales-part-ii-model-training-2", "kernel_id": "13327403"}, {"ref": "lilianaavilamoreno/final-project-coursera", "kernel_id": "13515923"}, {"ref": "cemartinezca/final-project-coursera", "kernel_id": "13212474"}, {"ref": "amitalexander/predicting-future-sales-with-neural-networks", "kernel_id": "13384579"}, {"ref": "amyduanyang/notebookf1c7507f96", "kernel_id": "13418434"}, {"ref": "major1991/predict-future-sales-major1991", "kernel_id": "13720678"}, {"ref": "zeynepnilsuergin/171307041-zeynepnilsuergin", "kernel_id": "13919052"}, {"ref": "benamarareda/predit-sales", "kernel_id": "13899760"}, {"ref": "alexperrier/volumic-products-exp-smoothing", "kernel_id": "14534960"}, {"ref": "alexperrier/exploration-predict-future-sales", "kernel_id": "14513790"}, {"ref": "tqrahman/predict-future-sales", "kernel_id": "14825753"}, {"ref": "ambisinistra/catboost-for-ctr", "kernel_id": "14655632"}, {"ref": "dkomyagin/predict-future-sales-lightgbm-framework", "kernel_id": "14623291"}, {"ref": "franckepeixoto/igti-prever-vendas-futuras-pandas-pivot-table", "kernel_id": "14017851"}, {"ref": "franckepeixoto/predict-future-sales-tradu-o-em-portugu-s", "kernel_id": "14066875"}, {"ref": "ashishtop/predict-future-sales-eda-prediction", "kernel_id": "14431119"}, {"ref": "mikeka/time-series-prediction-with-arima", "kernel_id": "14932237"}, {"ref": "taimurislam/prophet-time-series", "kernel_id": "14793150"}, {"ref": "emackie/sales-project-xgboost", "kernel_id": "14526528"}, {"ref": "shawnjh/predict-xgboost", "kernel_id": "14286133"}, {"ref": "universaw/feature-engineering-lightgbm-exploring-performance", "kernel_id": "14594293"}, {"ref": "johnnybass09/prediciendo-futuras-ventas", "kernel_id": "14151064"}, {"ref": "bezmenulas/171307070-yusuf-ulas-dag", "kernel_id": "14110753"}, {"ref": "ajaykumaar/kaggle-comp", "kernel_id": "14404876"}, {"ref": "dkdevmallya/deep-learning-cnn-lstm-time-series-forecasting", "kernel_id": "14800745"}, {"ref": "deinforcement/predict-future-sales-eda-data-leakage", "kernel_id": "14564404"}, {"ref": "andreshg/xgboost-optuna-hyperparameter-tunning", "kernel_id": "14445592"}, {"ref": "jandir/predict-sales-by-jandirp", "kernel_id": "14497907"}, {"ref": "unzule/predict-sales", "kernel_id": "14648765"}, {"ref": "ncsaayali/sales-forecast-arima-model", "kernel_id": "14925058"}, {"ref": "ncsaayali/top-10-categories-sales", "kernel_id": "14923813"}, {"ref": "naim99/time-series-forecasting-with-lstm-autoencoders", "kernel_id": "14641804"}, {"ref": "mn2019/11th-draft-lgbm-lstm-2", "kernel_id": "14531976"}, {"ref": "fireballbyedimyrnmom/future-sales-predictions-v2", "kernel_id": "14542412"}, {"ref": "serkanshn/171307011-serkan-sahin", "kernel_id": "14142400"}, {"ref": "ibrahimaltay/171307067", "kernel_id": "14141710"}, {"ref": "sushmaguntupalli/predict-future-sales-light-gbm-top-1", "kernel_id": "14491594"}, {"ref": "homiarafarhana/predict-future-sales", "kernel_id": "14193890"}, {"ref": "abdullahcantekin/171307006-abdullahcantekin", "kernel_id": "14168225"}, {"ref": "emirhankprl/171307043-emirhan-k-pr-l-b-y-k-veri", "kernel_id": "14063996"}, {"ref": "selinayard/171307015-selinay-ard", "kernel_id": "14151376"}, {"ref": "johnring/predict-future-sales", "kernel_id": "14243522"}, {"ref": "gizemyldz08/b-y-k-veri-analizi-final", "kernel_id": "14110849"}, {"ref": "talhaaydn/171307054-talha-aydin", "kernel_id": "14122530"}, {"ref": "ozan2828/151307057-ozan-inan", "kernel_id": "14127820"}, {"ref": "nfaith21/predict-future-sales-results", "kernel_id": "14970572"}, {"ref": "bulentay/161307011-yusufb-lentay", "kernel_id": "14149820"}, {"ref": "giamagg/future-sales-part-i-eda", "kernel_id": "14891346"}, {"ref": "shutupandsquat/time-series-basics-korean", "kernel_id": "14030650"}, {"ref": "vldrud/trying-to-analyze-1c", "kernel_id": "14867808"}, {"ref": "mohammadhy/eda-usefull", "kernel_id": "14349855"}, {"ref": "shunhei/hatenablog-train", "kernel_id": "14493608"}, {"ref": "zeynepkaya/171307019", "kernel_id": "14167411"}, {"ref": "ardaertan/171307065-arda-ertan", "kernel_id": "14149444"}, {"ref": "umuterol/171307055-umut-erol", "kernel_id": "14090536"}, {"ref": "ufukparlar/171307053-buyuk-veri-final", "kernel_id": "14128552"}, {"ref": "ufukparlar/171307053-future-sale", "kernel_id": "14103048"}, {"ref": "ahmetburaksoysal/171307017-ahmetburaksoysal", "kernel_id": "14128550"}, {"ref": "busraozel/161307035-b-ra-zel", "kernel_id": "14142374"}, {"ref": "yiyangevandai/predict-future-sales", "kernel_id": "14596885"}, {"ref": "emorkrin/ml-intensive", "kernel_id": "14600896"}, {"ref": "alexanderossipov/predict-future-sales-ensemble", "kernel_id": "14695372"}, {"ref": "lmhung1910/final-svm-fraud", "kernel_id": "14025754"}, {"ref": "lmhung1910/test-public", "kernel_id": "14436473"}, {"ref": "lmhung1910/final-xgboost", "kernel_id": "14387815"}, {"ref": "hseyinsancar/fiyat-tahminleme", "kernel_id": "14110564"}, {"ref": "shifeifan/notebookefee88069b", "kernel_id": "14335557"}, {"ref": "alvaroalba/future-sales-part-ii-model-training-2", "kernel_id": "14430405"}, {"ref": "alvaroalba/future-sales-part-i-eda", "kernel_id": "14170863"}, {"ref": "nitinbasantwani/bidirectional-lstm-model", "kernel_id": "14532294"}, {"ref": "oznurkaraburun/161307005-b-y-kver-f-nal", "kernel_id": "14171984"}, {"ref": "mihailfrolov/fiyat-tahminleme", "kernel_id": "14147462"}, {"ref": "marcinszleszynski/future-sales", "kernel_id": "14667416"}, {"ref": "masatouchi/predict-future-sales", "kernel_id": "14511766"}, {"ref": "swet44/notebook1c", "kernel_id": "14743793"}, {"ref": "juanhubert/predict-future-sales", "kernel_id": "14972958"}, {"ref": "vcaquilpan/analysis-and-prediction-with-r-future-sales", "kernel_id": "15156014"}, {"ref": "mikeka/handcrafted-lin-regression-kfold-validation", "kernel_id": "15080497"}, {"ref": "ridloalin/predicting-future-sales-eda-prediction", "kernel_id": "15685458"}, {"ref": "werooring/a-2-downcasting", "kernel_id": "15503586"}, {"ref": "mragpavank/predict-future-sales", "kernel_id": "15102500"}, {"ref": "lys620/predict-futre-sales-eda-dataprep", "kernel_id": "15194297"}, {"ref": "messinantedececile/notebookc9714c65f3-faed3a", "kernel_id": "15331112"}, {"ref": "lmnath/product-sales-prediction-manj", "kernel_id": "15154901"}, {"ref": "hankarmostafa/forecasting-future-sales-using-lstm", "kernel_id": "15237480"}, {"ref": "bokhanh/eda-report-from-newcomer", "kernel_id": "15767247"}, {"ref": "sawsanshakir/notebook-predict-future-price", "kernel_id": "15460859"}, {"ref": "winston1214/predict-future-sales-lightgbm-framework", "kernel_id": "15364218"}, {"ref": "samuelmackey/notebook588a662d24", "kernel_id": "15352857"}, {"ref": "rucisung/notebook6f60e0cb53", "kernel_id": "15735477"}, {"ref": "aeryss/pandas-basic-with-predict-future-sales", "kernel_id": "15654636"}, {"ref": "igorkruglov/future-sales-prediction", "kernel_id": "15475534"}, {"ref": "ep18041/notebooka645461d44", "kernel_id": "15700110"}, {"ref": "ep18041/predict-future-sales-lightgbm-framework", "kernel_id": "15827050"}, {"ref": "yeonsunkim/feature-engineering-xgboost-boaz", "kernel_id": "15242811"}, {"ref": "znz92970/predict-future-sales", "kernel_id": "15610572"}, {"ref": "krystianwicherek/time-series-sales-novice", "kernel_id": "15218758"}, {"ref": "firozk/compete-sales", "kernel_id": "15360168"}, {"ref": "gaetanlopez/how-to-make-clean-visualizations", "kernel_id": "15704037"}, {"ref": "xholisilemantshongo/future-sales-ii", "kernel_id": "15430605"}, {"ref": "xholisilemantshongo/data-science-best-practices-with-r", "kernel_id": "15151098"}, {"ref": "shivamkalkar/eda-fe-with-demographical-features", "kernel_id": "15250502"}, {"ref": "santosh1974/predict-future-saless", "kernel_id": "15734539"}, {"ref": "santosh1974/predict-future-sales", "kernel_id": "15368526"}, {"ref": "fotiskamanis/predict-sales-by-encoding-categories", "kernel_id": "15613294"}, {"ref": "brandonvoigt227/predict-future-sales", "kernel_id": "15220096"}, {"ref": "deathcookie/urfu-notebook-to-train", "kernel_id": "15598900"}, {"ref": "burkaykirnik/notebook7ee34d6313", "kernel_id": "16956824"}, {"ref": "maxthemillion/predict-future-sales-with-lightgbm", "kernel_id": "16570734"}, {"ref": "tuhin1001/predict-the-future-an-ensemble-based-approach", "kernel_id": "16403184"}, {"ref": "ugness/deep-learning-for-time-series-forecasting", "kernel_id": "16177420"}, {"ref": "diegogalois/previous-value-benchmark-exercise", "kernel_id": "16867480"}, {"ref": "nadeem4nk/predict-future-sales", "kernel_id": "16469757"}, {"ref": "prithviraj7387/predict-future-sales-eda", "kernel_id": "16500881"}, {"ref": "ankitp013/future-sales-prediction-using-catboost-regression", "kernel_id": "16879978"}, {"ref": "eneszvo/time-series-forecasting-es-arima-var", "kernel_id": "16180924"}, {"ref": "werooring/top-3-5-lightgbm-with-feature-engineering", "kernel_id": "16087220"}, {"ref": "ashanaj/ml4342-wpi-shallow", "kernel_id": "16916500"}, {"ref": "vitasete/predict-future-sales", "kernel_id": "16556560"}, {"ref": "naokiokada/predict-future-sales", "kernel_id": "16546436"}, {"ref": "guojiliang1/predict-future-sales-lightgbm-framework", "kernel_id": "16346868"}, {"ref": "jls723/notebook769ca8b440", "kernel_id": "16578571"}, {"ref": "storari04/notebook60ffd7f7ca", "kernel_id": "16058991"}, {"ref": "khairmuhammad/sales-prediction-linear-regression", "kernel_id": "16284392"}, {"ref": "deinforcement/top-1-predict-future-sales-features-lightgbm", "kernel_id": "16938759"}, {"ref": "jglezaraujo/predict-future-sales", "kernel_id": "16231737"}, {"ref": "kylecostello099/linear-regression", "kernel_id": "16730132"}, {"ref": "yasserhessein/predict-future-sales-using-7-algorithms-regression", "kernel_id": "16616330"}, {"ref": "nikitakudriashov/predict-sales-spark-etl-eda", "kernel_id": "16791466"}, {"ref": "mariavoytyuk/predictive-modelling", "kernel_id": "16854871"}, {"ref": "alcidesrivarola/future-sales", "kernel_id": "16276920"}, {"ref": "imnoob/predict-future-sale", "kernel_id": "16974789"}, {"ref": "nilaykushawaha/predict-future-sales-ann-hypertuned", "kernel_id": "16591458"}, {"ref": "hikmetsezen/blend-boosting-best-score-on-predict-future-sales", "kernel_id": "16807260"}, {"ref": "keisukekawashima/future-sales", "kernel_id": "16108880"}, {"ref": "chawlasahil/future-exp13", "kernel_id": "16879877"}, {"ref": "onurkaraguler/predict-future-sales-machine-learning-tutorial", "kernel_id": "16403692"}, {"ref": "desalegngeb/plotly-guide-customize-for-better-visualizations", "kernel_id": "16074203"}, {"ref": "jr12der/predict-future-sales-top-12-solution", "kernel_id": "16445742"}, {"ref": "anguillajaponica/time-series-basics", "kernel_id": "16397538"}, {"ref": "kseniyavishnevskaya/predict-future-sales-eda", "kernel_id": "16026039"}, {"ref": "valentingerbet/predict-future-sales-lightgbm", "kernel_id": "16699814"}, {"ref": "thuranaing411/notebookf5c0d07377", "kernel_id": "16944409"}, {"ref": "thuranaing411/predict-future-sale", "kernel_id": "16963249"}, {"ref": "abhisheksahoo000001/predict-future-sales", "kernel_id": "16645382"}, {"ref": "fredriku/basic-data-exploration", "kernel_id": "16837262"}, {"ref": "kimlyu/predict-future-sales-lm-gbm", "kernel_id": "16181402"}, {"ref": "rahulyadav2881/predict-future-sales", "kernel_id": "16173490"}, {"ref": "ramsuverts/first-modelling-attempt", "kernel_id": "16019791"}, {"ref": "fistadev/notebook550296ca35", "kernel_id": "16876221"}, {"ref": "nancyvaldebenito/predict-future-sales-forecasting-in-process", "kernel_id": "16156826"}, {"ref": "aditimulye/predicting-the-future-sales-beginners-guide", "kernel_id": "16339142"}, {"ref": "rohitbpur/predict-future-sale", "kernel_id": "16043352"}, {"ref": "nikunjmalpani/predicting-future-sales", "kernel_id": "16465889"}, {"ref": "jzeferino/predictive-sales-with-linear-regressions", "kernel_id": "16404911"}, {"ref": "aryantiwari123/predicting-future-sales", "kernel_id": "16852977"}, {"ref": "nickygundersen/data-science-final", "kernel_id": "16445471"}, {"ref": "codeasyb/notebook526be844c7", "kernel_id": "16581138"}, {"ref": "lurkerich/3r3ga-andr01d", "kernel_id": "16956387"}, {"ref": "sciamano/predict-future-sales", "kernel_id": "17734426"}, {"ref": "sohaelshafey/predicting-future-sales", "kernel_id": "17334187"}, {"ref": "pavelagurov/pva-predict-future-sales", "kernel_id": "17964458"}, {"ref": "adityarajsinghvi/feature-engineering-xgboost", "kernel_id": "17478933"}, {"ref": "rknouk/comparing-models-using-cannai", "kernel_id": "17367260"}, {"ref": "ankit85jain/predict-sale", "kernel_id": "17304190"}, {"ref": "royhsu1012/predict-future-sales", "kernel_id": "17128684"}, {"ref": "abhay1608/predicting-future-sales-easy-explaination", "kernel_id": "17439624"}, {"ref": "sushakanaujia/sales-21", "kernel_id": "17253376"}, {"ref": "sushakanaujia/notebooka1b1b46c63", "kernel_id": "17266001"}, {"ref": "arunpurakkatt/predict-sales-xgboost", "kernel_id": "17175290"}, {"ref": "ridhijhamb/demand-forecasting-sequence-prediction", "kernel_id": "17971950"}, {"ref": "prachi0427/predict-future-sale", "kernel_id": "17401232"}, {"ref": "suganyarobert/time-series-analysis-with-deep-learning-for-sales", "kernel_id": "17682095"}, {"ref": "wouldyoujustfocus/impact-of-data-anomalies-on-svm-and-fnn", "kernel_id": "17692321"}, {"ref": "jamesriley/1c-company-future-sales-forecast", "kernel_id": "17112691"}, {"ref": "bob871227/predict-future-sales", "kernel_id": "17122132"}, {"ref": "shreyasajal/pytorch-forecasting-for-time-series-forecasting", "kernel_id": "17365135"}, {"ref": "yeeyunjie/sales-prediction", "kernel_id": "17035686"}, {"ref": "desalegngeb/bokeh-visualization-library-guide-for-beginners", "kernel_id": "17038587"}, {"ref": "abdrakhmanmurat/predict-future-sales", "kernel_id": "17546928"}, {"ref": "vladimirperdih/1c-company-sales-detailed-eda", "kernel_id": "17274878"}, {"ref": "fernandapratama/predict-future-sales-using-gradient-boosting", "kernel_id": "17323229"}, {"ref": "tylerchenchen/predict-sales-problem-step-by-step-part3", "kernel_id": "17742909"}, {"ref": "tylerchenchen/predict-sales-problem-step-by-step-part1", "kernel_id": "17736723"}, {"ref": "tylerchenchen/predict-sales-problem-step-by-step-part2", "kernel_id": "17737986"}, {"ref": "jeongwonkim10516/ts-eda-pred-on-gpu-orange-visualization", "kernel_id": "17909308"}, {"ref": "fatmanuryaman/sales-prediction", "kernel_id": "17134941"}, {"ref": "harshhzz/notebook81c77cda2a", "kernel_id": "17678280"}, {"ref": "jerifate/future-sales-time-series-visualization", "kernel_id": "17825111"}, {"ref": "rukayaamzat/time-series-breakdown-and-modelling", "kernel_id": "17659217"}, {"ref": "hsuchialun/predict-future-sales-lightgbm", "kernel_id": "17328024"}, {"ref": "rogersalvador/predicting-sales-compe", "kernel_id": "17143635"}, {"ref": "sakshikumari956/output-submission", "kernel_id": "17084390"}, {"ref": "nimajehan/future-sales", "kernel_id": "17081985"}, {"ref": "murarkarharsh/future-sales-pred", "kernel_id": "17336368"}, {"ref": "vaibhavsolanki97/predicting-future-sales-easy-explaination", "kernel_id": "17031877"}, {"ref": "maxymhaponiuk/ml-rgr", "kernel_id": "17276764"}, {"ref": "chidhvilas/sales-forecast-coursera", "kernel_id": "17186486"}, {"ref": "patrciamacedo/eda-understand-the-data-easy-code", "kernel_id": "17854792"}, {"ref": "shinuchi/notebook629976b3dc", "kernel_id": "17081632"}, {"ref": "andadada/sales-forecasting-based-on-rf", "kernel_id": "17478968"}, {"ref": "nezarnidam/prediction", "kernel_id": "17331923"}, {"ref": "johnnyzeng3/sales-pre", "kernel_id": "17551516"}, {"ref": "twzjsu/pyspark-tensorflow-predict-future-sales-v1", "kernel_id": "17591254"}, {"ref": "jeankunz/predict-future-sales-eda", "kernel_id": "18138858"}, {"ref": "bond009/eda-1c-sales-part-1-of-2-no-1-ranked", "kernel_id": "18593529"}, {"ref": "ahmedabdulhamid/predict-future-sales-catboost", "kernel_id": "18419743"}, {"ref": "behdadkarimi/predicting-future-sales", "kernel_id": "18251556"}, {"ref": "the0electronic0guy/keras-begineer-friendly", "kernel_id": "18037499"}, {"ref": "arjunprasadsarkhel/prediction-of-sales", "kernel_id": "18776431"}, {"ref": "pchandrashekhar/chandramandal", "kernel_id": "18553062"}, {"ref": "gsivakumar/sales-prediction-eda-seasonal-decompose", "kernel_id": "18351525"}, {"ref": "denisechendd/lgb-rf-pred", "kernel_id": "18275694"}, {"ref": "naidubhavya/prediction-of-sales", "kernel_id": "18460627"}, {"ref": "pachimatlamukesh/future-sale-pred", "kernel_id": "18465405"}, {"ref": "khosiyatsabirova/predict-future-sales", "kernel_id": "18142642"}, {"ref": "khosiyatsabirova/exploratory-data-analysis-m5-forecasting-accur", "kernel_id": "18107505"}, {"ref": "bextuychiev/no-bs-guide-to-hyperparameter-tuning-with-optuna", "kernel_id": "18951360"}, {"ref": "stanardmp/notebook2e0dcaeef0", "kernel_id": "18321713"}, {"ref": "vadimsokolov/sales-predictions-final-project-in-course-hse", "kernel_id": "18946172"}, {"ref": "aimgawd/predict-future-sales-mohit", "kernel_id": "18546435"}, {"ref": "gayatrikundurti/auto-reg-models-time-series-future-sales", "kernel_id": "18577939"}, {"ref": "darshangupta124/future-sales", "kernel_id": "18665081"}, {"ref": "ubiratanfilho/predict-future-sales", "kernel_id": "18252793"}, {"ref": "visithk/time-series-analysis-with-prophet", "kernel_id": "18938498"}, {"ref": "pinosbruno/xgb-prediction", "kernel_id": "18409309"}, {"ref": "nizado/my-sales", "kernel_id": "18741101"}, {"ref": "robertatsang/predict-future-sales", "kernel_id": "18138905"}, {"ref": "saruhangngr/future-sale-prediction", "kernel_id": "18644506"}, {"ref": "oladeleoluwaseun/outlier-the-silent-killer", "kernel_id": "18633420"}, {"ref": "ldaurenl/notebookb90eeb7af1", "kernel_id": "18167961"}, {"ref": "inn190118/predict-future-sales-final-work", "kernel_id": "18118360"}, {"ref": "mdrishab/fifa-eda-2021", "kernel_id": "18406261"}, {"ref": "bbaabbaakk/sarimax", "kernel_id": "18048951"}, {"ref": "trixietacung/prediction-for-future-sales-eda-prediction", "kernel_id": "18120432"}, {"ref": "abhishekyawalkar/sales-predictions-gradient-boosting-regressor", "kernel_id": "18265096"}, {"ref": "abdumaleek/exploratory-data-analysis", "kernel_id": "18341656"}, {"ref": "stefanschulmeister87/extensive-eda-and-data-preparation", "kernel_id": "18531922"}, {"ref": "jeongkyulim/simple-price-prediction-using-catboost-in-r", "kernel_id": "18815393"}, {"ref": "ffsniceboobs/feature-engineering-model-tuning-and-stacking", "kernel_id": "18482726"}, {"ref": "xclimx/1c-eda-hyperparameters-tuning-ensembling", "kernel_id": "18760043"}, {"ref": "torypan/predict-future-sales", "kernel_id": "18864244"}, {"ref": "sciamano/predict-future-sales-top-2-5", "kernel_id": "19642059"}, {"ref": "bextuychiev/25-pandas-functions-you-didn-t-know-existed", "kernel_id": "19078762"}, {"ref": "bextuychiev/7-coolest-packages-top-kagglers-are-using", "kernel_id": "19265054"}, {"ref": "satyaprakash13820/predict-future-sales-project", "kernel_id": "19275287"}, {"ref": "santhiyar/day-16", "kernel_id": "19877342"}, {"ref": "aravind2608/sales-prediction", "kernel_id": "19987324"}, {"ref": "kevinjnguyen/predict-future-sales", "kernel_id": "19579009"}, {"ref": "max2020/simplecase", "kernel_id": "19823523"}, {"ref": "ashishkapasiya/prediction-future-sales-with-keras", "kernel_id": "19867765"}, {"ref": "denisivanchuk/modelcreation", "kernel_id": "19192481"}, {"ref": "abhivarma362/predict-future-sales", "kernel_id": "19741098"}, {"ref": "alexeykolobyanin/predict-sales-stacking-with-scikit-learn-intelex", "kernel_id": "19019494"}, {"ref": "stevenylai/predictfuturesales-boosttrees", "kernel_id": "19895879"}, {"ref": "hassanshahin/predict-future-sales", "kernel_id": "19454072"}, {"ref": "navidalazim/notebookadba973386", "kernel_id": "19472959"}, {"ref": "hariprakaashn/notebook9c5ce4c57f", "kernel_id": "19900652"}, {"ref": "pritampaulcrow/predict-future-sales", "kernel_id": "19036080"}, {"ref": "lildatascientist/multiclass-classification-from-scratch", "kernel_id": "19510228"}, {"ref": "lildatascientist/importance-of-scaling-data", "kernel_id": "19470135"}, {"ref": "lildatascientist/neural-network-from-scratch", "kernel_id": "19792433"}, {"ref": "sankardhayalanm/day-16-predict-future-sale", "kernel_id": "19879230"}, {"ref": "zenstat/notebook-for-beginners-step-1-load-the-data", "kernel_id": "20535751"}, {"ref": "ankittomar1/sales-prediction-eda-modelling", "kernel_id": "20370589"}, {"ref": "fbozoglilanian/predict-future-sales", "kernel_id": "20608697"}, {"ref": "shubhamhegade26/achieve-rmse-score-of-0-88127", "kernel_id": "20328764"}, {"ref": "shenurisumanasekara/sales-prediction", "kernel_id": "20219976"}, {"ref": "werooring/ch9-modeling-shop-id-ext", "kernel_id": "20555017"}, {"ref": "werooring/ch9-modeling", "kernel_id": "20555201"}, {"ref": "werooring/ch9-baseline", "kernel_id": "20555207"}, {"ref": "werooring/ch9-eda", "kernel_id": "20555209"}, {"ref": "co16318/lstm-dropout", "kernel_id": "20959712"}, {"ref": "blyndon/exploratory-data-analysis", "kernel_id": "20086828"}, {"ref": "divyhshah/predict-future-sales", "kernel_id": "20153859"}, {"ref": "parasrana/price-prediction-with-lineaar-regression", "kernel_id": "20678603"}, {"ref": "mikelglez/sales-prediction-notebook", "kernel_id": "20564331"}, {"ref": "tracyporter/predict-sales-udemy", "kernel_id": "20109633"}, {"ref": "priyacharaya/predict-sales-eda-lr-rf", "kernel_id": "20216606"}, {"ref": "zayanmakar/predicting-future-sales", "kernel_id": "20079035"}, {"ref": "vishweshsalodkar/sales-prediction", "kernel_id": "20469458"}, {"ref": "realtimshady/feature-engineering-xgboost", "kernel_id": "20074105"}, {"ref": "thbalaji/day-16", "kernel_id": "20339193"}, {"ref": "danilorosmaninho/predict-future-sales-danilo", "kernel_id": "20554362"}, {"ref": "luongduongminh/sub-data", "kernel_id": "20910369"}, {"ref": "mazenramadan/stroke-predictions-eda-classification", "kernel_id": "20793958"}, {"ref": "tengwang0318/tf-lstm", "kernel_id": "20670576"}, {"ref": "aritonangjo/stacking-sale-prediction", "kernel_id": "20207514"}, {"ref": "vaghelahardik/notebook188dbfab1e", "kernel_id": "20557714"}, {"ref": "jackwilliams3rd/prophet-function-provided-by-facebook-inc", "kernel_id": "20583115"}, {"ref": "yaswanth2784/demand-forecasting-sequence-prediction", "kernel_id": "20614984"}, {"ref": "kaiusdepaulacorrea/feature-engineering-eda-optuna-lightgbm", "kernel_id": "20097967"}, {"ref": "robertatsang/future-sales", "kernel_id": "20502149"}, {"ref": "tejaswini001/predict-future-sales-using-4-models", "kernel_id": "20080410"}, {"ref": "adriansaati/predict-future-sales-lasso-regression", "kernel_id": "20796563"}, {"ref": "narendrasan/how-to-work-w-million-row-datasets-like-a-pro", "kernel_id": "20652847"}, {"ref": "takeshun4418/futuresales-4", "kernel_id": "20859810"}, {"ref": "mohitagarwal31/explore-and-analyze", "kernel_id": "20812572"}, {"ref": "theamitnikhade/future-sales-prediction-lstm-linear-regression", "kernel_id": "20243513"}, {"ref": "mahditavakol/future-sales", "kernel_id": "20785333"}, {"ref": "vickysen/future-sales-prediction", "kernel_id": "20714709"}, {"ref": "parikshitsharma2001/blend-boosting-best-score-on-predict-future-sales", "kernel_id": "20694950"}, {"ref": "jonasfichtmller/combined-version-eda-fe-model-training", "kernel_id": "20035187"}, {"ref": "lildatascientist/decision-tree-and-random-forest-from-scratch", "kernel_id": "20036909"}, {"ref": "lildatascientist/logistic-regression-from-scratch", "kernel_id": "20064853"}, {"ref": "lildatascientist/linear-regression-from-scratch", "kernel_id": "20066221"}, {"ref": "gojetha/sales-prediction-using-mlp-model", "kernel_id": "20964239"}, {"ref": "atsushis/futuresales-2", "kernel_id": "20782181"}, {"ref": "atsushis/predict-future-sales-a1", "kernel_id": "20547383"}, {"ref": "esratmaria/future-sales-prediction-eda", "kernel_id": "20854651"}, {"ref": "peterbushra/predict-future-sales", "kernel_id": "20786774"}, {"ref": "zenstat/notebook-for-beginners-step-2-analyze-data", "kernel_id": "21062010"}, {"ref": "zenstat/notebook-for-beginners-step-3-model-evaluation", "kernel_id": "21148525"}, {"ref": "hanshidalgo/finalprojecthans", "kernel_id": "21126244"}, {"ref": "keisukes123/20211106-predict-future-sales", "kernel_id": "21793727"}, {"ref": "yuejinzhao/deep-learning-for-time-series-forecasting", "kernel_id": "21687138"}, {"ref": "bhujithmadav/predict-future-sales-vbm", "kernel_id": "21636775"}, {"ref": "pavan9065/predict-future-sales-lightgbm", "kernel_id": "21008820"}, {"ref": "samyukthamobile/sales-prediction-submission-file", "kernel_id": "21958606"}, {"ref": "dainelchang/extensive-eda-and-data-preparation", "kernel_id": "21424064"}, {"ref": "pathanamjadkhan/eda-hyperparameters-xgboost-92", "kernel_id": "21525544"}, {"ref": "kyuhwanjung2/predictfuturesales-11-03", "kernel_id": "21728287"}, {"ref": "kyuhwanjung2/simple-and-easy-aprroach-using-lstm", "kernel_id": "21608580"}, {"ref": "tehminadangra/sales-prediction", "kernel_id": "21280970"}, {"ref": "axelboissier/predict-future-sales", "kernel_id": "21561559"}, {"ref": "xholisilemantshongo/how-to-make-a-winning-submission-public-score-0-95", "kernel_id": "21920622"}, {"ref": "xavier001/xgboost-prediction", "kernel_id": "21368144"}, {"ref": "hoikinyu/predict-future-sales", "kernel_id": "21927224"}, {"ref": "gaganmaahi224/introduction-automation-of-null-value-treatment", "kernel_id": "21908174"}, {"ref": "amareshmarekar/future-sales-prediction-using-various-algorithm", "kernel_id": "21704230"}, {"ref": "pralabhpoudel/sale-prediction-best-model-for-regression", "kernel_id": "21925279"}, {"ref": "carrollstephen/notebooka9cbe5e9cc", "kernel_id": "21655905"}, {"ref": "carrollstephen/two-models", "kernel_id": "21682545"}, {"ref": "vinciusyan/eda-hyperparameters-xgboost-92", "kernel_id": "21694767"}, {"ref": "tranvu15/0001-baseline-model", "kernel_id": "21375279"}, {"ref": "esratmaria/future-sale-prediction-lgbmregressor-part-2", "kernel_id": "21525894"}, {"ref": "cjinquan/predict-future-sales", "kernel_id": "21471686"}, {"ref": "werooring/ch9-notebook", "kernel_id": "22237545"}, {"ref": "manishtripathi86/how-to-win-data-science-competitions", "kernel_id": "22260718"}, {"ref": "yalcinmehmet/item-price", "kernel_id": "22721636"}, {"ref": "udondon/udon-3-matrix-lag", "kernel_id": "22503752"}, {"ref": "udondon/udon-3-matrix", "kernel_id": "22501211"}, {"ref": "udondon/fork-of-udon-xgboost", "kernel_id": "22477402"}, {"ref": "udondon/udon-3-xgboost", "kernel_id": "22485975"}, {"ref": "udondon/from-assessment", "kernel_id": "22470850"}, {"ref": "udondon/fork-of-from-assessment", "kernel_id": "22471004"}, {"ref": "udondon/udon-xgboost", "kernel_id": "22464692"}, {"ref": "aajay20/competition-notebook-predict-future-sales", "kernel_id": "22206984"}, {"ref": "rohitroychowdhury0/finalproject", "kernel_id": "22740733"}, {"ref": "hadeux/simple-lgbmregressor-baseline", "kernel_id": "22480291"}, {"ref": "arunmohan003/extensive-eda-feature-engineering-xgboost", "kernel_id": "22811881"}, {"ref": "sankalpsthakur/future-sales-leakage-safe-month-forward-lightgbm", "kernel_id": "22888317"}, {"ref": "sanjaylalwani/lstm-predict-sales", "kernel_id": "22210754"}, {"ref": "wilsenwidjaja/predict-future-sales", "kernel_id": "22986416"}, {"ref": "milachadayammuri/salespredtest", "kernel_id": "22256381"}, {"ref": "vladimirzelenov/notebook", "kernel_id": "22800294"}, {"ref": "horizon0109/predict-future-sales", "kernel_id": "22231675"}, {"ref": "masaishi/transition-of-mon-cnt-cnn", "kernel_id": "22634289"}, {"ref": "masaishi/transition-features-of-cnt-month", "kernel_id": "22494236"}, {"ref": "masaishi/lb1-001-transition-mon-cnt-lgb-catboost-xgb", "kernel_id": "22736707"}, {"ref": "chirag2021/project-of-predicting", "kernel_id": "22987341"}, {"ref": "rhythmcam/fuzzywuzzy-basic-get-string-simularity", "kernel_id": "22904773"}, {"ref": "kazuya99986/prediction-by-lightgbm", "kernel_id": "22055574"}, {"ref": "nurkhoerul/notebook114a1888fc", "kernel_id": "22751506"}, {"ref": "revzkaggle/futuresalesprediction-lgbmregressor", "kernel_id": "22160324"}, {"ref": "tkrrrrr/fork-of-xgboost", "kernel_id": "22479213"}, {"ref": "tkrrrrr/udon-3-matrix", "kernel_id": "22503757"}, {"ref": "ekaterinapolupanova/predict-future-sales-catboost", "kernel_id": "22980667"}, {"ref": "ilushadmitriev/predict-future-sales-rus", "kernel_id": "22878680"}, {"ref": "xannyyy/notebooke35938e983", "kernel_id": "22590351"}, {"ref": "snowpear/feature-engineering-lightgbm-top-1", "kernel_id": "22721244"}, {"ref": "hidemasa/example-submission-for-predict-future-sales", "kernel_id": "23713115"}, {"ref": "hadiaskari1981/time-series-predict-future-sales", "kernel_id": "23875053"}, {"ref": "tymecd/translation-text-processing-predict-future-sales", "kernel_id": "23594689"}, {"ref": "minaatef/analysis-and-visualization-for-future-sales", "kernel_id": "23916087"}, {"ref": "ycca1018/salesofprediction-startereda-jp-en", "kernel_id": "23711895"}, {"ref": "gitanjali1425/deep-learning-for-time-series-forecasting", "kernel_id": "23634737"}, {"ref": "p7476762/pivot-lstm-for-predict-future-sales", "kernel_id": "23014002"}, {"ref": "sytuannguyen/future-sales-with-automated-ensembling", "kernel_id": "23703965"}, {"ref": "stephenmontgomery/1c-challenge", "kernel_id": "23868457"}, {"ref": "tomoyam0/sale-conpe", "kernel_id": "23291200"}, {"ref": "junior10/machine-learning-from-scratch", "kernel_id": "23890438"}, {"ref": "masahikofujita/lb1-001-transition-mon-cnt-lgb-catboost-paramc", "kernel_id": "23008321"}, {"ref": "phoonyein/ai-project-2-predict-sales", "kernel_id": "23762311"}, {"ref": "mohammadkumail/predict-future-sales", "kernel_id": "23103196"}, {"ref": "shefalishettyy/dealing-with-outliers", "kernel_id": "23013855"}, {"ref": "deeprajvadhwane/outlier-the-silent-killer", "kernel_id": "23122337"}, {"ref": "ojuskapoor/predict-future-sales", "kernel_id": "23045694"}, {"ref": "sathyakrishnan12/kaggle-sales-prediction-jan-09", "kernel_id": "23738618"}, {"ref": "prathamthakur/101905062-prathamthakur", "kernel_id": "23066005"}, {"ref": "rickykonwar/translate-text-data", "kernel_id": "24877594"}, {"ref": "shubham219/sales-prediction", "kernel_id": "24827842"}, {"ref": "mathnery/tft-datah-final-done", "kernel_id": "24934505"}, {"ref": "sehan10/eda-predict-sales-random-forest-xgboost", "kernel_id": "24104309"}, {"ref": "comicphile/predicting-future-sales-using-python", "kernel_id": "24533771"}, {"ref": "eddudos/predict-future-sales", "kernel_id": "24784810"}, {"ref": "tymecd/in-depth-eda-preprocessing-predict-future-sales", "kernel_id": "24712099"}, {"ref": "janiezj/future-sales-eda-and-forecast-lightgbm", "kernel_id": "24954532"}, {"ref": "andrluiztiagosoares/fixing-time-series-frequency", "kernel_id": "24272625"}, {"ref": "marcelabejarano/sales-predictions", "kernel_id": "24024351"}, {"ref": "zhixx018/coursera-final-0-98-lgbm", "kernel_id": "24233794"}, {"ref": "sasakic/future-sales-simple-time-series-clustering", "kernel_id": "24921958"}, {"ref": "gjbergues/time-series-basics", "kernel_id": "24415194"}, {"ref": "gjbergues/feature-engineering-xgboost", "kernel_id": "24422561"}, {"ref": "phoonyein/lecture-5-time-series-predict-sales", "kernel_id": "24645492"}, {"ref": "amishra527/predict-future-sales-eda", "kernel_id": "24126111"}, {"ref": "kartushovdanil/econometrics-is-all-you-need", "kernel_id": "24287682"}, {"ref": "kelvinprawtama/random-forest-sales-prediction", "kernel_id": "24612933"}, {"ref": "chaitanyaugale/predict-future-sales-2022", "kernel_id": "24914732"}, {"ref": "irvinghernandez/ann-embedding-pytorch", "kernel_id": "24057234"}, {"ref": "ammarsayedtaha/predict-using-randomforest-regression-xgboost", "kernel_id": "24049907"}, {"ref": "jhuluk/kaggle-sales-prediction-jan-09", "kernel_id": "24156907"}, {"ref": "zoubairkachri/coursera-final-project-submission", "kernel_id": "24557564"}, {"ref": "gozieibekwe/future-sales", "kernel_id": "24873978"}, {"ref": "gmkeshav/predict-future-sales", "kernel_id": "24007205"}, {"ref": "innakalinina/sales-prediction", "kernel_id": "24762875"}, {"ref": "csatlantis/how-to-get-upvotes-for-notebooks-on-kaggle-ceshi", "kernel_id": "24841311"}, {"ref": "gummy2021/visualize-and-analyze-a-russian-it-store", "kernel_id": "24896591"}, {"ref": "rajnishkumar546/predict-future-sales", "kernel_id": "24991971"}, {"ref": "rohan1506/pandas-tips-tricks-tutorial", "kernel_id": "24268312"}, {"ref": "vladimir92gorev/predict-future-sales", "kernel_id": "24283961"}, {"ref": "subinek/lstm-based-future-price-prediction", "kernel_id": "25776229"}, {"ref": "annacarolinabarros/notebook50114822f9-68eb9d", "kernel_id": "25904883"}, {"ref": "annacarolinabarros/notebook50114822f9", "kernel_id": "25903343"}, {"ref": "annacarolinabarros/notebook50114822f9-68eb9d-4dfbe6", "kernel_id": "25907654"}, {"ref": "prakharprasad/predict-future-sales", "kernel_id": "25790700"}, {"ref": "docstein/exploring-russian-sales", "kernel_id": "25232135"}, {"ref": "madeelbadar/time-series-for-sales-data", "kernel_id": "25420710"}, {"ref": "monster1616/hyperparameter", "kernel_id": "25670973"}, {"ref": "shebiimalik/future-sales-prediction-using-catboost-regression", "kernel_id": "25344095"}, {"ref": "lucasnix/notebook50114822f9-68eb9d", "kernel_id": "25904361"}, {"ref": "lucasnix/notebook50114822f9-68eb9d-4dfbe6", "kernel_id": "25905908"}, {"ref": "lucasnix/notebook50114822f9-68eb9d-4dfbe6-6267ce", "kernel_id": "25908814"}, {"ref": "andreawr/data-preprocessing", "kernel_id": "25252987"}, {"ref": "andreawr/lgb-simple-opt", "kernel_id": "25276847"}, {"ref": "andreawr/build-final-model", "kernel_id": "25351537"}, {"ref": "andreawr/time-feature-eng", "kernel_id": "25349653"}, {"ref": "andreawr/classification-rf", "kernel_id": "25374413"}, {"ref": "aithammadiabdellatif/esp-initiate-rds-database", "kernel_id": "25782016"}, {"ref": "naokiiwasaki/time-series-basics-exploring-traditional-e1fd49", "kernel_id": "25436909"}, {"ref": "srikoushik/predict-future-sales-2022", "kernel_id": "25394681"}, {"ref": "ranjan770/random-forest-regression-model", "kernel_id": "25979285"}, {"ref": "joanponsv/future-sales-prediction-0p98", "kernel_id": "25560612"}, {"ref": "charansaiv/notebook8a5625bc44", "kernel_id": "25175992"}, {"ref": "satyalytics/data-exploration-future-sales", "kernel_id": "25353479"}, {"ref": "ethereallpfy/stacked-model-c8532f", "kernel_id": "25691078"}, {"ref": "zhaoshizhen/top-1-predict-future-sales-features-lig-d93abe", "kernel_id": "25853999"}, {"ref": "soaresmarcelo/notebook50114822f9", "kernel_id": "25903874"}, {"ref": "soaresmarcelo/notebook50114822f9-68eb9d", "kernel_id": "25905313"}, {"ref": "vanguarde/study-series-uplift-modeling", "kernel_id": "26130086"}, {"ref": "muki2003/lstm-deep-learning-future-sales-predection", "kernel_id": "26982583"}, {"ref": "mdnam2410/predict-future-sales-naive", "kernel_id": "26441483"}, {"ref": "aaron874/predict-future-sales-exploration-generative-arima", "kernel_id": "26124316"}, {"ref": "gubkinpavel/csc-ml-eda-hw-6", "kernel_id": "26123029"}, {"ref": "thetkpark/predict-future-sales-lstm", "kernel_id": "26286701"}, {"ref": "imperiopts/forecasting-next-month-s-individual-product-sales", "kernel_id": "26131610"}, {"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "zuqilaksamana/future-sales-forecasting-ar-arima-prophet", "kernel_id": "26226998"}, {"ref": "abdelrahmanesmat/store-sales-prediction-22", "kernel_id": "26637344"}, {"ref": "abdelrahmanesmat/store-sales-prediction-fa68d8", "kernel_id": "26642044"}, {"ref": "khairy84/lstm-time-series-forecast", "kernel_id": "26141338"}, {"ref": "phuc16102001/predict-future-sale-monthly-sales-prediction", "kernel_id": "26641000"}, {"ref": "avikumart/regression-sales-prediction-sklearn-statsmodels", "kernel_id": "26736078"}, {"ref": "gabrieldu69/sales-eda", "kernel_id": "26507259"}, {"ref": "abdelrahmanohassan/store-sales-prediction", "kernel_id": "26630466"}, {"ref": "w595258113/predict-future-sales", "kernel_id": "26706204"}, {"ref": "juanpedromuozjimenez/notebooka1069e4d03", "kernel_id": "26996965"}, {"ref": "stautxie/predict-future-sales-eda-and-baseline-modeling", "kernel_id": "27664768"}, {"ref": "hassanelgafif/predict-future-sales-using-lstm", "kernel_id": "27436325"}, {"ref": "haripriyaram51/predict-sales-using-basic-forecasting-methods", "kernel_id": "27326907"}, {"ref": "adepvenugopal/anomaly-detection-using-different-methods", "kernel_id": "27997875"}, {"ref": "saidstar/future-sales-predection", "kernel_id": "27537641"}, {"ref": "pablorosa01/predict-future-sales", "kernel_id": "27309900"}, {"ref": "vikarna/predicting-sales-time-series", "kernel_id": "27075429"}, {"ref": "hoangminhquanlhsdt/smart-data-analysis-lightgbm", "kernel_id": "27488749"}, {"ref": "isyedsalmanali/predict-future-sales", "kernel_id": "27482548"}, {"ref": "buiquangbao/predict-future-sales-sarima", "kernel_id": "27376597"}, {"ref": "azminetoushikwasi/all-imputation-techniques-with-pros-and-cons", "kernel_id": "27588167"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "leduchuy/linear-regression", "kernel_id": "27450601"}, {"ref": "thanimafiroz/regression-sales-prediction-sklearn-statsmodels", "kernel_id": "27126033"}, {"ref": "taka304/predict-future-sales", "kernel_id": "27444689"}, {"ref": "singsinghi/k-neighbors-regressor-with-item-price", "kernel_id": "27500672"}, {"ref": "jihwano/notebook8194c7bdfa", "kernel_id": "27063796"}, {"ref": "csatlantis/notebook7b2ff6132a", "kernel_id": "27127028"}, {"ref": "agyanatma/sale-prediction-regressions-and-deep-learning", "kernel_id": "27308887"}, {"ref": "agyanatma/tugas-deep-learning-data-mining", "kernel_id": "27318385"}, {"ref": "anushasuresh348/dl-lstm-predict-future-sales", "kernel_id": "27586689"}, {"ref": "amirhosainmahdiani/future-sales-prediction", "kernel_id": "27511708"}, {"ref": "youneskhandouch/time-series-forcasting-with-lstm", "kernel_id": "27298286"}, {"ref": "gehallak/the-power-of-pandas", "kernel_id": "27250768"}, {"ref": "gehallak/predict-future-sales-eda", "kernel_id": "27457131"}, {"ref": "padmilnayak/predictive-sales-analysis-v2", "kernel_id": "27799515"}, {"ref": "lucaspimeentel/predict-future-sales-exploratory-data-analysis", "kernel_id": "27944173"}, {"ref": "lucaspimeentel/easy-recursive-feature-elimination-with-catboost", "kernel_id": "27739300"}, {"ref": "farazmunshi/sales-predictions", "kernel_id": "27053211"}, {"ref": "rushikeshdane20/build-recommendation-system-app-with-streamlit", "kernel_id": "27969675"}, {"ref": "teraodaiyou/notebook740f191599", "kernel_id": "27424450"}, {"ref": "aryouchou/lgbm-regression-sales-prediction", "kernel_id": "27496296"}, {"ref": "bteo98/predict-future-sales-forecast", "kernel_id": "27778151"}, {"ref": "choiyeonwoo/feature-engineering-lightgbm-exploring-performance", "kernel_id": "27810154"}, {"ref": "armandsauzay/pandas-visualizations-sql-like-joins", "kernel_id": "28376378"}, {"ref": "phanee16/predict-future-sales-trying-various-ml-algorithms", "kernel_id": "28992544"}, {"ref": "mechatronixs/eda-and-future-prediction", "kernel_id": "28960714"}, {"ref": "loaiwalid/predict-future-sales", "kernel_id": "28101224"}, {"ref": "naokiiwasaki/feature-engineering-xgboost", "kernel_id": "28261602"}, {"ref": "ashfakyeafi/predict-sales", "kernel_id": "28381818"}, {"ref": "pashikantipranith/mindsdb-forecasting", "kernel_id": "28159522"}, {"ref": "mesofianeyou/time-series-analysis-sarima-model", "kernel_id": "28242205"}, {"ref": "wongfeiyeung/predict-future-sales-feature-engineering-and-eda", "kernel_id": "28636245"}, {"ref": "mehrdadvatankhah/notebookfeba34d12a", "kernel_id": "28526187"}, {"ref": "dianalaveena/predict-future-sales-lstm", "kernel_id": "28213345"}, {"ref": "felipergribeiro/predict-future-sales-mlp", "kernel_id": "28022866"}, {"ref": "obinna11/lstm-prediction", "kernel_id": "28330930"}, {"ref": "andrespadillaucros/3-predict-future-sales", "kernel_id": "28057800"}, {"ref": "romanbaster/first-notebook", "kernel_id": "28671259"}, {"ref": "usamabalochhh/time-series-using-xgboost", "kernel_id": "28979953"}, {"ref": "tomasborges/predict-future-sales-xgboost", "kernel_id": "28001630"}, {"ref": "akashkotal/future-sales-prediction-using-tensorflow", "kernel_id": "28781400"}, {"ref": "keitakkk/notebook6b4be1aa38", "kernel_id": "28771326"}, {"ref": "lucastoku/notebook-predict", "kernel_id": "28663561"}, {"ref": "xodeum/future-sales-prediction", "kernel_id": "28364964"}, {"ref": "oscarm524/predict-sales-eda", "kernel_id": "29564816"}, {"ref": "werooring/lecture-ch9-modeling", "kernel_id": "29225282"}, {"ref": "werooring/lecture-ch9-baseline", "kernel_id": "29220692"}, {"ref": "werooring/lecture-ch9-eda", "kernel_id": "29216108"}, {"ref": "tangtunyu/deep-learning-for-time-series-forecasting", "kernel_id": "29532231"}, {"ref": "dagneazene/eda-and-rf-prediction", "kernel_id": "29429710"}, {"ref": "yagli18/predict-future-sales", "kernel_id": "29814765"}, {"ref": "vicsonsam/pfs-eda", "kernel_id": "29692013"}, {"ref": "simonedegasperis/blending-model-0-85-accuracy", "kernel_id": "29658660"}, {"ref": "prinjeshshah/time-series-forecasting", "kernel_id": "29971483"}, {"ref": "ahmedashraf123/predict-future-sales", "kernel_id": "29908170"}, {"ref": "moritzreh/rmse-1-2501-without-ml", "kernel_id": "29892984"}, {"ref": "akshayr009/predict-future-sales", "kernel_id": "29156057"}, {"ref": "aminahnurrahmawati/predict-future-sales", "kernel_id": "29131799"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "haeuns/ch9-notebook-dalsoo", "kernel_id": "29659831"}, {"ref": "msyazwanonn/predict-house-price", "kernel_id": "29359707"}, {"ref": "julioam/predict-future-sales", "kernel_id": "29766490"}, {"ref": "hyennykim/ch9-modeling-hyenny", "kernel_id": "29554862"}, {"ref": "aytanm/competition", "kernel_id": "29956611"}, {"ref": "meln1337/predict-future-sales-notebook", "kernel_id": "29455438"}, {"ref": "abdulrahmanitman/predicting-sales", "kernel_id": "29606649"}, {"ref": "adeshtrivedi/predict-sales-1-a", "kernel_id": "29760043"}, {"ref": "satyaprakashshukl/eda-prediction-future-sale", "kernel_id": "29709892"}, {"ref": "hardikharikeshrajput/sales-prediction-using-time-series", "kernel_id": "29928948"}, {"ref": "naoshigedoi/prepare-of-predict-feature-sales", "kernel_id": "29497105"}, {"ref": "woohyeokkang/predict-future-sales-eda", "kernel_id": "29550865"}, {"ref": "woohyeokkang/predict-future-sales", "kernel_id": "29551280"}, {"ref": "baik09/ch9-baseline-code-test", "kernel_id": "29991582"}, {"ref": "nalinmandhu/r2-score-0-92-with-xgboost", "kernel_id": "29431665"}, {"ref": "okanzkaya/eda-visualization", "kernel_id": "29752372"}, {"ref": "alsing/model", "kernel_id": "29958621"}, {"ref": "edutechalexlee/must-have-ch-09-1-baseline", "kernel_id": "29439684"}, {"ref": "edutechalexlee/must-have-ch-09-2-1", "kernel_id": "29466480"}, {"ref": "edutechalexlee/must-have-ch-09-3-2", "kernel_id": "29493251"}, {"ref": "usamabalochhh/data-is-imbalanced-use-smote", "kernel_id": "29374786"}, {"ref": "sathyanarayanrao89/eda-and-xgboost-on-sales-data", "kernel_id": "29983329"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "bansodesandeep/ml-logistic-regression-boston-data-binning", "kernel_id": "29915382"}, {"ref": "qinzixiong/notebook9a63d435d9", "kernel_id": "29218795"}, {"ref": "anovayana/fork-of-predict-future-sales-arima", "kernel_id": "29337435"}, {"ref": "luging/fork-of-luging-ch9-0808-improved", "kernel_id": "29555275"}, {"ref": "luging/luging-ch9-0808", "kernel_id": "29418348"}, {"ref": "luging/luging-ch9-0807", "kernel_id": "29396467"}, {"ref": "luging/luging-ch9-0808-improved", "kernel_id": "29442148"}, {"ref": "cooljmlee/ch9-eda", "kernel_id": "29544569"}, {"ref": "cooljmlee/ch9-baseline", "kernel_id": "29544587"}, {"ref": "cooljmlee/ch9-modeling", "kernel_id": "29544689"}, {"ref": "cooljmlee/ch9-modeling-shop-id-ext", "kernel_id": "29544756"}, {"ref": "gaejabong/ch9-modeling", "kernel_id": "29555838"}, {"ref": "realbeepboop/predict-future-sales", "kernel_id": "29294331"}, {"ref": "harits/sales-analysis-at-1c-company", "kernel_id": "30637547"}, {"ref": "adtysregita/machine-learning-model-to-predict-future-sales", "kernel_id": "30380580"}, {"ref": "zhongyuesu/predict-future-sales", "kernel_id": "30360629"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-linear-regression", "kernel_id": "30877457"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "darshinimohan18/eda-and-xgboost-on-sales-data", "kernel_id": "30392073"}, {"ref": "krcsoft/future-sales-ishere", "kernel_id": "30790137"}, {"ref": "neesham/nlp-for-beginners", "kernel_id": "30979766"}, {"ref": "denisivanchuk/feature-sales-full-path", "kernel_id": "30242845"}, {"ref": "zaki171/future-sales", "kernel_id": "30267585"}, {"ref": "sujvalrai/predict-future-sales-tbc", "kernel_id": "30191292"}, {"ref": "ricksan4ez/fast-eda-top-timeseries-model", "kernel_id": "30535202"}, {"ref": "bhatnagardaksh/gradient-descent-from-scratch", "kernel_id": "30714002"}, {"ref": "asemmustafa/sales-price-predictions", "kernel_id": "30740234"}, {"ref": "fadyesam/future-sales-data-analysis", "kernel_id": "30939968"}, {"ref": "faduregis/predict-future-sales-tbc", "kernel_id": "30453835"}, {"ref": "akibmir/predicting-future-sales-machine-learning", "kernel_id": "30854237"}, {"ref": "baik09/ch9-modeling-code-test", "kernel_id": "30003540"}, {"ref": "khashayarrahimi94/no-ml-just-statistical-analysis", "kernel_id": "30637667"}, {"ref": "metehanpolat1705/predict-future-sales", "kernel_id": "30983374"}, {"ref": "usamabalochhh/comprehensive-guide-to-solve-tabular-problem", "kernel_id": "30103711"}, {"ref": "wesessig/predict-future-sales-wes", "kernel_id": "30839844"}, {"ref": "sathyanarayanrao89/lstm-on-sales-data", "kernel_id": "30453235"}, {"ref": "manojgharge07/topic-modeling-with-bert", "kernel_id": "30404638"}, {"ref": "donovanharrod8/fun-police", "kernel_id": "30968098"}, {"ref": "neeraj235/sale-prediction-ml", "kernel_id": "30654959"}, {"ref": "mdashifmallick/future-sales", "kernel_id": "30090510"}, {"ref": "deepshikha0105/sale-prediction-ml", "kernel_id": "30294800"}, {"ref": "drindeng/sales-forecasting-model", "kernel_id": "30950377"}, {"ref": "pavansai2545/predict-future-sales", "kernel_id": "30574322"}, {"ref": "rahulkishangupta/type-conversion", "kernel_id": "30673264"}, {"ref": "blalbora/linear-reg-beg", "kernel_id": "30158691"}, {"ref": "rizkia14/a-complete-guide-to-k-nearest-neighbours", "kernel_id": "30958103"}, {"ref": "kriothekaizoku/bangalore-zomato-restaurants", "kernel_id": "30402046"}, {"ref": "thisishusseinali/future-sales-prediction", "kernel_id": "30635809"}, {"ref": "aziztaktak/future-sales-predictions", "kernel_id": "30991297"}, {"ref": "mdfarzana/predict-item-sales", "kernel_id": "31453656"}, {"ref": "jwilda3/predicating-sales-with-time-series-data", "kernel_id": "31937249"}, {"ref": "aliphya/predict-future-sales", "kernel_id": "31000013"}, {"ref": "priyak950/eda-on-data", "kernel_id": "31687986"}, {"ref": "dagneazene/lstm-handling-sequences-sales-prediction", "kernel_id": "31836771"}, {"ref": "reisecat/lgbm-top-10-time-feature-engineering", "kernel_id": "31730023"}, {"ref": "taisukekokusho/future-sale", "kernel_id": "31576526"}, {"ref": "prashanthsri12/ds-challenge-model", "kernel_id": "31559488"}, {"ref": "shresthamaharaj/notebook752fd1c854", "kernel_id": "31942788"}, {"ref": "daviddsdp/predict-future-sales-submissions", "kernel_id": "31248376"}, {"ref": "daviddsdp/predict-future-sales-date-block-against-shop", "kernel_id": "31665490"}, {"ref": "dsfelix/predicting-future-sales", "kernel_id": "31786404"}, {"ref": "alaaadell/predict-future-sales-rmse-0-41", "kernel_id": "31973609"}, {"ref": "haticedikmen/time-series-basics-exploring-traditional", "kernel_id": "31901335"}, {"ref": "johnsonchishimba/future-sales-forecasting", "kernel_id": "31579257"}, {"ref": "marcosgois07/predict-sales-of-after-month-with-xgboost", "kernel_id": "31812516"}, {"ref": "evansabrahamj/future-sales-prediction", "kernel_id": "31297396"}, {"ref": "gabrielko/item-price", "kernel_id": "31060800"}, {"ref": "davidhavrilenko/predict-future-sales-2022", "kernel_id": "31925879"}, {"ref": "tiansztianszs/predict-future-sales", "kernel_id": "31575872"}, {"ref": "ayushsoni206/fork-of-ds-challenge-ayush-ravneet", "kernel_id": "31745976"}, {"ref": "poojarajdev/notebook0bef3936ba", "kernel_id": "32893871"}, {"ref": "josepharivera/predict-future-sales-rivera", "kernel_id": "32613085"}, {"ref": "wouldyoujustfocus/ab-testing-use-stats-to-rise-your-profit", "kernel_id": "32648255"}, {"ref": "wouldyoujustfocus/ladies-lean-in", "kernel_id": "32419117"}, {"ref": "wouldyoujustfocus/l-king-for-a-ds-job", "kernel_id": "32087807"}, {"ref": "ebrahimgholami/predict-future-sales", "kernel_id": "32504348"}, {"ref": "sasanmansouri/dafa22-nb-05-fuzz", "kernel_id": "32026004"}, {"ref": "nguyntunsinh/time-series-basics-exploring-traditional-ts", "kernel_id": "32053886"}, {"ref": "canhlu/time-series-basics-exploring-traditional", "kernel_id": "32054238"}, {"ref": "pablorocamora/predict-future-sales-english-using-rf-rmse-0-26", "kernel_id": "32044491"}, {"ref": "sarindasamarasinghe/cap6411-samarasinghe-comp5", "kernel_id": "32576431"}, {"ref": "mridulsyed/predicting-future-sales", "kernel_id": "32416071"}, {"ref": "trungit/homework-4", "kernel_id": "32192122"}, {"ref": "aadarshbhalerao/predict-future-sales", "kernel_id": "32135465"}, {"ref": "cocoyachi/lightgbm-futuresales", "kernel_id": "32986515"}, {"ref": "cocoyachi/eda-futuresales", "kernel_id": "32355765"}, {"ref": "yukko08/predict-future-sales", "kernel_id": "32724656"}, {"ref": "yunzihchen/data603-yzc", "kernel_id": "32179509"}, {"ref": "danilcherinov/eda-predict-future-sales", "kernel_id": "32441752"}, {"ref": "sakshamparashar/sales-forecasting-eda-xgboost-and-lightgbm", "kernel_id": "32063871"}, {"ref": "jhosepbailon/future-sales-predictor", "kernel_id": "32806102"}, {"ref": "ahsanshakoor/eda-on-sales", "kernel_id": "32372504"}, {"ref": "kimhyeongjunes/kim-hyeong-june", "kernel_id": "32521984"}, {"ref": "weiwsc/predict-future-sales-using-catboost", "kernel_id": "32959234"}, {"ref": "weiwsc/predict-future-sales-using-ligbtboost", "kernel_id": "32939714"}, {"ref": "amalbesghaier01/notebook72fc721c13", "kernel_id": "32436190"}, {"ref": "amalbesghaier01/groupe-pi", "kernel_id": "32668338"}, {"ref": "devharal/futuresales-lgbmregressor", "kernel_id": "32666315"}, {"ref": "apoorv2002/notebookb3da75150d", "kernel_id": "32077436"}, {"ref": "baobao02iuh/hw4-time-series-basics-exploring-traditional-ts", "kernel_id": "32053332"}, {"ref": "john331060/predict-sales-time-series-with-cnn", "kernel_id": "32388667"}, {"ref": "radhakrishnatirumani/predicting-future-sales", "kernel_id": "32933833"}, {"ref": "yeemeitsang/predict-future-sales", "kernel_id": "32143583"}, {"ref": "krisztinboros/predicting-future-sales-with-sin-function", "kernel_id": "32458750"}, {"ref": "tanmaypatil3151/notebook6b0ea162d3", "kernel_id": "32997298"}, {"ref": "paulprat/start-and-go-data", "kernel_id": "32124021"}, {"ref": "fahrilianwidiatama/data-visualization-predict-future-sales", "kernel_id": "32760421"}, {"ref": "ansh007shiv/cs636003-anshul-shivhare", "kernel_id": "32894600"}, {"ref": "masqrxx/e2-future-price", "kernel_id": "32524497"}, {"ref": "ishmaelpalmer/predicting-future-sales", "kernel_id": "32634288"}, {"ref": "ayushnitb/basic-lgbm-based-forecast", "kernel_id": "33008732"}, {"ref": "abubakar624/first-place-solution-kaggle-predict-future-sales", "kernel_id": "33632932"}, {"ref": "nathanmarquez/nathan-dani-zac-xgboost", "kernel_id": "33137476"}, {"ref": "lilac07/time-series-linear-regression-lstm", "kernel_id": "33439376"}, {"ref": "jillanisofttech/predict-future-sales-with-4-models", "kernel_id": "33174095"}, {"ref": "khagendrabishwakarma/predict-future-sales-with-xgboost-and-timeseries", "kernel_id": "33307042"}, {"ref": "mahdimasoompoor/notebooke7ea2f1e9b", "kernel_id": "33112715"}, {"ref": "serkanp/predict-future-sales-analysis", "kernel_id": "33227881"}, {"ref": "juancamilos29/variante-zachot-whit-sql", "kernel_id": "33121197"}, {"ref": "ramendrachaudhary/predict-future-sales", "kernel_id": "33922367"}, {"ref": "michaeldekoning/adm-group-21", "kernel_id": "33149085"}, {"ref": "michaeldekoning/adm-group-21-anm", "kernel_id": "33150901"}, {"ref": "harits/clustering-analysis-on-the-shops-of-1c-company", "kernel_id": "34085006"}, {"ref": "sushantpatil04/deep-learning-for-time-series-forecasting", "kernel_id": "34077219"}, {"ref": "sohaibmohammed/notebookb4561a1812", "kernel_id": "34418763"}, {"ref": "somesh140/futuresalespredictiondraft", "kernel_id": "35802812"}, {"ref": "sanandachowdhury/deep-learning-for-time-series-forecasting", "kernel_id": "35847745"}, {"ref": "ssankarr/future-sales-prediction", "kernel_id": "35073680"}, {"ref": "oreggynal777/cleaning-data", "kernel_id": "35820868"}, {"ref": "himajakinthada/predict-future-sales", "kernel_id": "36744162"}, {"ref": "desalegngeb/dos-and-don-ts-of-data-visualisation-eea", "kernel_id": "36318589"}, {"ref": "kyuhwanjung2/predictfuturesales-2023", "kernel_id": "36874620"}, {"ref": "edwardhuangtw/sale-predicet", "kernel_id": "36398001"}, {"ref": "rahul5569/dawr-final-project", "kernel_id": "36726604"}, {"ref": "ashleybryantsoejje/model-stacking-feature-engineering-and-eda", "kernel_id": "36608003"}, {"ref": "ashleybryantsoejje/1st-place-solution-part-1-hands-on-data", "kernel_id": "36580374"}, {"ref": "ashleybryantsoejje/future-sales-3", "kernel_id": "36505370"}, {"ref": "akshayvijaypanchal/predicting", "kernel_id": "37015726"}, {"ref": "aarushisunderrajan/aarushi-sunderrajan-ica", "kernel_id": "37276304"}, {"ref": "prakharchitravanshi/predict-future-sales", "kernel_id": "37736659"}, {"ref": "beshwar/dar-proj", "kernel_id": "37136548"}, {"ref": "beshwar/dar-bestsubmissions", "kernel_id": "37182196"}, {"ref": "meastanmay/predicting-software-sales-using-ensemble-technique", "kernel_id": "37348033"}, {"ref": "hobbyai/predict-future-sales-with-lstm-using-pytorch", "kernel_id": "37144903"}, {"ref": "computervisi/1st-place-solution-beginner-guide", "kernel_id": "38796568"}, {"ref": "woohyeokkang/ch9-predict-future-sales-eda", "kernel_id": "39622119"}, {"ref": "estercifuentesquiles/future-russian-sales-deterministic-model", "kernel_id": "39876942"}, {"ref": "luging/luging-ch9-230611", "kernel_id": "39835505"}, {"ref": "polljjaks/predictfuturesales-eda", "kernel_id": "39633379"}, {"ref": "duykhanh99/assignment-eda-feature-engineering-fods01", "kernel_id": "40659295"}, {"ref": "duykhanh99/assignment-eda-feature-engineering-fods01-class", "kernel_id": "40601280"}, {"ref": "andriimakarchuk/comp-predict-future-sales", "kernel_id": "40128061"}, {"ref": "junbokoh/ch9-predict-future-sales-modeling-ridi", "kernel_id": "40122768"}, {"ref": "manhph/fods01-assignment-eda-feature-engineering", "kernel_id": "40683767"}, {"ref": "woohyeokkang/ch9-predict-future-sales-modeling", "kernel_id": "40016913"}, {"ref": "pyushh/tpch-translator", "kernel_id": "40159483"}, {"ref": "suraj520/hidden-markov-model-know-fit-infer", "kernel_id": "40499355"}, {"ref": "ronitc21/ts-seasonality-present", "kernel_id": "40454770"}, {"ref": "ahmedsale/predict-data", "kernel_id": "40938646"}, {"ref": "mohamedsaid28/future-sales", "kernel_id": "40176022"}, {"ref": "ketankolte2/ketands", "kernel_id": "40571722"}, {"ref": "kyuhwanjung2/lstm-4", "kernel_id": "41779611"}, {"ref": "leemoodong/ch9-notebook", "kernel_id": "41898613"}, {"ref": "leemoodong/ch9-modeling-shop-id-ext", "kernel_id": "41888345"}, {"ref": "leemoodong/ch9-modeling", "kernel_id": "41864815"}, {"ref": "leemoodong/ch9-baseline", "kernel_id": "41864380"}, {"ref": "leemoodong/ch9-eda", "kernel_id": "41863352"}, {"ref": "uncomment/time-series-forecasting-with-lstm-autoencoders", "kernel_id": "42417862"}, {"ref": "beomsulee/predict-future-sales-with-lightgbm", "kernel_id": "42428615"}, {"ref": "izammohammed/all-ml-algos", "kernel_id": "43226186"}, {"ref": "hayder17/combining-dataset-tutorial", "kernel_id": "43257376"}, {"ref": "johnnydoyes/all-ml-algos", "kernel_id": "43488039"}, {"ref": "donyakhaledyan/starter-guide-to-build-nlp-ml-model-in-pycaret", "kernel_id": "44654219"}, {"ref": "avadhutvarvatkar/forecasting-sales-of-retail-arima-fbprophet", "kernel_id": "45351938"}, {"ref": "imethgunawardena/outlier-the-silent-killer", "kernel_id": "45165029"}, {"ref": "starbond0/program-1", "kernel_id": "46852885"}, {"ref": "kazuki513/mysubmission20231205-1", "kernel_id": "47323332"}, {"ref": "kazuki513/notebook1a83954741", "kernel_id": "47377312"}, {"ref": "rukaando/notebooke0df6304a7", "kernel_id": "47377247"}, {"ref": "rukaando/notebookdd5ed18e01", "kernel_id": "47441556"}, {"ref": "rukaando/notebookb977072717", "kernel_id": "47441816"}, {"ref": "katayamakaito/notebookba8cda6c43", "kernel_id": "47482019"}, {"ref": "katayamakaito/notebookb367b8918d", "kernel_id": "47441537"}, {"ref": "katayamakaito/notebookadedd37a2b", "kernel_id": "47377179"}, {"ref": "kenza1996/imdb-sentiment-analysis", "kernel_id": "47546172"}, {"ref": "xumingyuan/xgb-time-series-forecasting", "kernel_id": "48252305"}, {"ref": "larjeck/first-place-solution-kaggle-predict-future-sales", "kernel_id": "48825038"}, {"ref": "shanilalera/predictfuturesales-eda", "kernel_id": "48768066"}, {"ref": "ckaylol/darts-with-deep-learning-models", "kernel_id": "49127129"}, {"ref": "narmadhavs19/predict-future-sales-using-rnn", "kernel_id": "49211423"}, {"ref": "wasjaip/tuture-sales-dsw", "kernel_id": "50532305"}, {"ref": "masahikofujita/tuture-sales-dsw", "kernel_id": "51092203"}, {"ref": "maramsa/exercice-aggregating-and-groupby", "kernel_id": "51769569"}, {"ref": "mhsn21/predict-future-sales", "kernel_id": "54329408"}, {"ref": "vitalykapranoff/predict-sales", "kernel_id": "55013543"}, {"ref": "oillim/bai-lam-cua-tao", "kernel_id": "55246822"}, {"ref": "cardata/predict-future-sales-analysis", "kernel_id": "56281444"}, {"ref": "hieunguyen203/gradientboosting-model-for-predict-future-sale", "kernel_id": "56279457"}, {"ref": "seonungha/notebookcabebcfc16", "kernel_id": "56728534"}, {"ref": "biloliddin1221/assignment-7", "kernel_id": "56810946"}, {"ref": "ngaruniki/sales-forecasting-sarima-and-prophet", "kernel_id": "58224744"}, {"ref": "wjddms00/predict-the-schedule-2", "kernel_id": "58872031"}, {"ref": "wjddms00/predict-the-schedule", "kernel_id": "58722554"}, {"ref": "ismailaitalimhamed/sales-forecasting-for-stores-and-products", "kernel_id": "59084474"}, {"ref": "kholilasjaduddin/deep-learning-for-time-series-forecasting", "kernel_id": "59645118"}, {"ref": "msakr1/predictfuturesales-analysis", "kernel_id": "59162227"}, {"ref": "enriquecompanioni/store-sales-insights-report", "kernel_id": "60821402"}, {"ref": "mahmoudelshabrawy/predict-future-sales", "kernel_id": "60176435"}, {"ref": "islamzakariabebars/russian-store", "kernel_id": "60059280"}, {"ref": "syedmuhammadebad/future-sales-prediction-nn", "kernel_id": "60667410"}, {"ref": "stpeteishii/store-sales-prediction-linearregression", "kernel_id": "61417466"}, {"ref": "ankandebnath/predict-future-sales", "kernel_id": "61671043"}, {"ref": "xenowing/predict-future-sales-using-advanced-regression", "kernel_id": "61039204"}, {"ref": "federiconemirovsky/notebookddbe82b0f6", "kernel_id": "62460712"}, {"ref": "ammarazman98/predict-future-sales-with-xgboost", "kernel_id": "62812945"}, {"ref": "vanpatangan/predict-future-sales", "kernel_id": "62381679"}, {"ref": "sudarsan27/competition-notebook-future-sales-prediction", "kernel_id": "62330385"}, {"ref": "kefahaied/predict-future-sales-kefah-dot-ai", "kernel_id": "63637037"}, {"ref": "p7476762/time-series-pivot-lstm-training", "kernel_id": "63163073"}, {"ref": "dilarquluzad/merge-join-concation-in-pandas-groupby-agg-functio", "kernel_id": "63512478"}, {"ref": "abdallabola/merge-join-concation-in-pandas-groupby-agg-functio", "kernel_id": "63446947"}, {"ref": "mahmoudsabry1/predict-future-sales-dotsa", "kernel_id": "64498618"}, {"ref": "yuyuan1208/classical-case3-private-vs-public-uni", "kernel_id": "64324122"}, {"ref": "yomnasayedsaif/sales-prediction", "kernel_id": "64447303"}, {"ref": "goocheolhwan/ch9-p393", "kernel_id": "64855598"}, {"ref": "jungfeelmoon/notebookefbb2b712f", "kernel_id": "64865045"}, {"ref": "evelth/predict-future-sales-baseline", "kernel_id": "64858367"}, {"ref": "ppr500t/predict-future-sales", "kernel_id": "64853924"}, {"ref": "dukrimpark/ch9-modeling", "kernel_id": "64859309"}, {"ref": "khosiyatsabirova/model-advanced-regression-predict-future-sales", "kernel_id": "65080861"}, {"ref": "bluewall/future-sales-prediction", "kernel_id": "65481787"}, {"ref": "trietp1253201581/predict-future-sales", "kernel_id": "65596670"}, {"ref": "anishvijay/predict-future-sales", "kernel_id": "65065906"}, {"ref": "trispark/predict-future-sales-eda", "kernel_id": "65417762"}, {"ref": "trispark/predict-future-sales-baseline", "kernel_id": "65418852"}, {"ref": "aniruddhapa/advanced-regression-predict-sales", "kernel_id": "66335507"}, {"ref": "engineerfrabbi/predict-future-sales", "kernel_id": "66983853"}, {"ref": "estercifuentesquiles/future-sales-lstm", "kernel_id": "67824375"}, {"ref": "estercifuentesquiles/future-sales-regression-final", "kernel_id": "67828104"}, {"ref": "rizwanasgharbhatti/predicting-the-future-sales", "kernel_id": "67878990"}, {"ref": "tarekomar55/sales-prediction-using-random-forest-knn", "kernel_id": "68459072"}, {"ref": "tensorkanak/future-sales-prediction", "kernel_id": "68814351"}, {"ref": "cemreremkarabay/outlier-the-silent-killer", "kernel_id": "68566533"}, {"ref": "poojahariramsingh/deep-learning-for-time-series-forecasting", "kernel_id": "69041812"}, {"ref": "tensorkanak/fork-of-future-sales-prediction", "kernel_id": "69157371"}, {"ref": "salmarashwan/time-series-sales-prediction-with-xgboost", "kernel_id": "69349069"}, {"ref": "adariyashwanth/cnn-lstm-for-stock-prediction", "kernel_id": "70815415"}, {"ref": "ysairaajpatro/deep-learning-cnn-lstm-time-series-forec-328e3e", "kernel_id": "70475722"}, {"ref": "ashioyajotham/predict-future-sales", "kernel_id": "70032719"}, {"ref": "ilnurr/kharisov-ida-idl-homework-04", "kernel_id": "70945153"}, {"ref": "angellapark/ch9-predict-future-sales", "kernel_id": "71743899"}, {"ref": "angellapark/ch9-predict-future-sales-part-a", "kernel_id": "71759023"}, {"ref": "ysairaajpatro/cnn-lstm-for-stock-pred-dynamic-normalisation", "kernel_id": "71160792"}, {"ref": "abdullah0a/sales-forecasting-and-prediction", "kernel_id": "71222415"}, {"ref": "bacmcc/xgboost", "kernel_id": "71313009"}, {"ref": "julia0523/predict-future-sales-alkhazova", "kernel_id": "71874568"}, {"ref": "manavece/sales-forecasting-and-prediction", "kernel_id": "71825686"}, {"ref": "sarkayas/predict-future-salas-linear-regression", "kernel_id": "71277124"}, {"ref": "afrologicinsect/arima-sarimax-prediction-of-future-sales", "kernel_id": "72232685"}, {"ref": "ysairaajpatro/cnn-lstm-for-stock-pred-distance-30", "kernel_id": "72397318"}, {"ref": "ysairaajpatro/cnn-lstm-for-weeky-freq-distance-1", "kernel_id": "72581214"}, {"ref": "lunofercrantz/solution-predictfuturesales", "kernel_id": "72715610"}, {"ref": "baileighgriese/future-sales-prediction", "kernel_id": "72577136"}, {"ref": "khushbukakdiya/predict-sales", "kernel_id": "72040273"}, {"ref": "vasusoni/extcopy-of-future-sales-with-automated-ensembling", "kernel_id": "73871814"}, {"ref": "ysairaajpatro/cnn-lstm-for-stock-pred-lgbm-nifty-midcap-50", "kernel_id": "73282423"}, {"ref": "ysairaajpatro/cnn-lstm-for-stock-pred-lgbm-bank-nifty", "kernel_id": "73275038"}, {"ref": "renjithlal/predict-future-sales-competition", "kernel_id": "73858530"}, {"ref": "mohamedfawzy911/sales-prediction", "kernel_id": "73498672"}, {"ref": "beomseongkim/lightgbm-1-24966", "kernel_id": "73612899"}, {"ref": "beomseongkim/lightgbm-0-87442", "kernel_id": "73670520"}, {"ref": "ismaileladraoui/accelerate-deep-learning-time-series-forecasting", "kernel_id": "73669060"}, {"ref": "aliiball/predict-future-sales", "kernel_id": "73051040"}, {"ref": "adembenmaamar/self-training0001", "kernel_id": "74077989"}, {"ref": "shutafujiwara/predict-future-sales-for-beginner", "kernel_id": "74654265"}, {"ref": "evanyoung7/deep-learning-for-time-series-forecasting", "kernel_id": "74494979"}, {"ref": "asifsaad/ail-part-1", "kernel_id": "75781243"}, {"ref": "akhilkammila/psa-test-data-is-mostly-zeros", "kernel_id": "75324557"}, {"ref": "mrvillain69/data-science-best-practices-with-pandas-2-0-p2", "kernel_id": "75810004"}, {"ref": "datasontran/extensive-eda-feature-engineering-xgboost", "kernel_id": "79096182"}, {"ref": "datasontran/future-sales-prediction-eda", "kernel_id": "79096205"}, {"ref": "datasontran/model-stacking-feature-engineering-and-eda", "kernel_id": "79095213"}, {"ref": "ngoclinhphvm/dswip", "kernel_id": "79444997"}, {"ref": "denniskachila/sales-forecast", "kernel_id": "80711461"}, {"ref": "datasontran/train-notebook", "kernel_id": "80969088"}, {"ref": "nemesismaniac/predict-future-sales", "kernel_id": "80798174"}, {"ref": "azurethanh/future-sale-predict-eda", "kernel_id": "80291533"}, {"ref": "vinhquang1786/tuture-sales-dsw", "kernel_id": "80055687"}, {"ref": "freedino/predict-future-sales", "kernel_id": "81499663"}, {"ref": "ngoxuntrc/feature-engineering-lightgbm-exploring-performance", "kernel_id": "81822502"}, {"ref": "trnthmnh/data-science-project", "kernel_id": "81181088"}, {"ref": "trnthmnh/competition-notebook-future-sales-prediction", "kernel_id": "81147036"}, {"ref": "nguyenmanhquan244/notebooke66e48a8f3", "kernel_id": "81058472"}, {"ref": "phancngdng/notebookb1d240dd3a", "kernel_id": "81166603"}, {"ref": "phancngdng/notebook780aa9d052", "kernel_id": "81081696"}, {"ref": "leanhdung22028204/notebook6df1a8052b", "kernel_id": "81844698"}, {"ref": "leanhdung22028204/ch9-predict-future-sales-modeling-dungle", "kernel_id": "81752025"}, {"ref": "leanhdung22028204/datasience-lgbmodel", "kernel_id": "81910137"}, {"ref": "leanhdung22028204/notebook177ee2bafe", "kernel_id": "81917312"}, {"ref": "ngoclinhphvm/notebook6df1a8052b", "kernel_id": "81754258"}, {"ref": "ngoclinhphvm/datascience", "kernel_id": "81952026"}, {"ref": "lakshtanov18031987/predict-future-sales-0-86-solution", "kernel_id": "82885649"}, {"ref": "hajajjihajer/predict-the-best-prodoct-sale", "kernel_id": "82192843"}, {"ref": "phamxuanhuy/top-1-predict-future-sales-features-lightgbm", "kernel_id": "82396278"}, {"ref": "phamxuanhuy/ch9-predict-future-sales-dungpx", "kernel_id": "82057150"}, {"ref": "ngoclinhphvm/predict-future-sales", "kernel_id": "82330146"}, {"ref": "thnhcaolcng/predict-future-sale", "kernel_id": "82209632"}, {"ref": "thnhcaolcng/notebook9fcac5e4cb", "kernel_id": "82520440"}, {"ref": "thnhcaolcng/notebookd7e8c5d6b0", "kernel_id": "82486510"}, {"ref": "vinhquang1786/predict-future-sale", "kernel_id": "82465785"}, {"ref": "vinhquang1786/predict-sale-future", "kernel_id": "82399970"}, {"ref": "hrb2001/predict-future-sales", "kernel_id": "83847452"}, {"ref": "thnhnguyntrngtt/predict-future-sales-0-86-solution", "kernel_id": "84415681"}, {"ref": "thnhnguyntrngtt/pfs-models", "kernel_id": "84478286"}, {"ref": "thienbao1604/notebooka545bbd21a", "kernel_id": "84429708"}, {"ref": "thnhcaolcng/eda-on-predict-future-sales", "kernel_id": "84882559"}, {"ref": "wangqiuzhi123456/lstm-predict", "kernel_id": "84686171"}, {"ref": "yxcokok/use-lstm", "kernel_id": "84683194"}, {"ref": "aziz532/new-york-city-airbnb", "kernel_id": "85562608"}, {"ref": "xiaoleiwww/lstm-product-prediction", "kernel_id": "86964415"}, {"ref": "emrullahyediyildiz/predict-future-sales", "kernel_id": "90350611"}, {"ref": "samuel0930/mle-predict-future-sales", "kernel_id": "91467081"}, {"ref": "yutaromatsuda/notebookad938baecc", "kernel_id": "91467842"}, {"ref": "jaymineshkumarpatel/deep-learning-for-time-series-forecasting", "kernel_id": "92833061"}, {"ref": "sangseoseo/predictfuturesaleseda", "kernel_id": "93217210"}, {"ref": "sangseoseo/predictfuturesalesbaselinemodel", "kernel_id": "93346464"}, {"ref": "sangseoseo/predictfuturesalesperformanceenhancement", "kernel_id": "93787947"}, {"ref": "tarekghajary/forecasting-future-sales", "kernel_id": "94266500"}, {"ref": "sangseoseo/predictfuturesalesmodelingwithshopid", "kernel_id": "94042550"}, {"ref": "dalabis/notebook5f4ce4366a", "kernel_id": "96642739"}, {"ref": "sofiyanshaik/all-ml-algos-updated-to-new-version", "kernel_id": "97116394"}, {"ref": "wangqiuzhi123456/sales-electronic-lstm", "kernel_id": "102845466"}, {"ref": "aidenwilliams020/notebookd3ab0d0b81", "kernel_id": "102995091"}, {"ref": "dwipal123/predict-customer-churn", "kernel_id": "104469633"}, {"ref": "aidenwilliams020/aiden-williams-predict-sales", "kernel_id": "104231837"}, {"ref": "nina2025/predict-future-sales-hb-private-score-0-74816", "kernel_id": "105410309"}, {"ref": "hngphongkiu/predict-future-items-sales-arima-var-approach", "kernel_id": "114789032"}, {"ref": "yujiyyy/pfs-time-validated-lgbm", "kernel_id": "122689259"}]}
{"competition_id": "8590", "kernels": []}
{"competition_id": "8600", "kernels": []}
{"competition_id": "8601", "kernels": [{"ref": "alishir/iterative-random-forest", "kernel_id": "701126"}, {"ref": "soroushj/tap30-challenge-random-forest-regressor", "kernel_id": "702120"}, {"ref": "amingolzari/features", "kernel_id": "736747"}, {"ref": "amirhmi/tap30-challenge-solution-with-blending-model", "kernel_id": "5263249"}, {"ref": "peimandaii/analysis-of-tapsi-requests", "kernel_id": "48021464"}]}
{"competition_id": "8606", "kernels": []}
{"competition_id": "8653", "kernels": [{"ref": "paurel/3-level-stacking-predictor", "kernel_id": "744690"}, {"ref": "btamasya/bt-script", "kernel_id": "739484"}, {"ref": "masterdesky/pb-sdss", "kernel_id": "792623"}, {"ref": "krzol1/kz-note", "kernel_id": "751982"}]}
{"competition_id": "8657", "kernels": []}
{"competition_id": "8658", "kernels": []}
{"competition_id": "8665", "kernels": []}
{"competition_id": "8666", "kernels": []}
{"competition_id": "8672", "kernels": []}
{"competition_id": "8673", "kernels": [{"ref": "izmaylov/topic-lda-modelling", "kernel_id": "829495"}, {"ref": "kashnitsky/ridge-countvectorizer-baseline", "kernel_id": "750274"}, {"ref": "kashnitsky/ridge-and-lightgbm-blending-hacking", "kernel_id": "816340"}, {"ref": "jandevel/clap-it-exploratory-data-analysis", "kernel_id": "825078"}, {"ref": "danofer/medium-popularity-data-extract", "kernel_id": "1363856"}, {"ref": "ashishpatel26/base-line-models", "kernel_id": "1323421"}, {"ref": "vishalvikram1992/medium-a6", "kernel_id": "2130336"}, {"ref": "iovodov/clap-it-eda-with-multiprocess-data-processing", "kernel_id": "2103865"}, {"ref": "dlarionov/meduim-preprocessing", "kernel_id": "2207216"}, {"ref": "diff77/don-t-remove-html-tags-so-fast", "kernel_id": "2129623"}, {"ref": "kashnitsky/medium-template-for-your-solution", "kernel_id": "3147857"}, {"ref": "sureshrv/how-good-is-your-medium-article", "kernel_id": "3633056"}]}
{"competition_id": "8679", "kernels": []}
{"competition_id": "8689", "kernels": []}
{"competition_id": "8694", "kernels": []}
{"competition_id": "8722", "kernels": []}
{"competition_id": "8731", "kernels": []}
{"competition_id": "8732", "kernels": []}
{"competition_id": "8736", "kernels": [{"ref": "amelnozieres/eda-baseline", "kernel_id": "12708383"}, {"ref": "amelnozieres/eda-sweetviz-profiling", "kernel_id": "12668293"}, {"ref": "amelnozieres/siamese-network-with-vgg16", "kernel_id": "14597500"}]}
{"competition_id": "8743", "kernels": []}
{"competition_id": "8754", "kernels": []}
{"competition_id": "8756", "kernels": []}
{"competition_id": "8758", "kernels": []}
{"competition_id": "8779", "kernels": []}
{"competition_id": "8782", "kernels": []}
{"competition_id": "8792", "kernels": []}
{"competition_id": "8801", "kernels": [{"ref": "collinsjosh/josh-s-newsgroups-example", "kernel_id": "2586944"}, {"ref": "collinsjosh/xgboost-classifier", "kernel_id": "2590673"}]}
{"competition_id": "8804", "kernels": []}
{"competition_id": "8811", "kernels": []}
{"competition_id": "8832", "kernels": []}
{"competition_id": "8853", "kernels": []}
{"competition_id": "8855", "kernels": []}
{"competition_id": "8857", "kernels": []}
{"competition_id": "8866", "kernels": []}
{"competition_id": "8885", "kernels": []}
{"competition_id": "8899", "kernels": [{"ref": "kmader/pretrained-pspnet-on-driving-scenes", "kernel_id": "910887"}, {"ref": "kmader/hr-vehicle-unet-fcl-segmentation", "kernel_id": "894441"}, {"ref": "kmader/opencv-hog-submission", "kernel_id": "891322"}, {"ref": "kmader/vehicle-unet-fcl-segmentation", "kernel_id": "891756"}, {"ref": "kmader/data-preprocessing-and-unet-segmentation-gpu", "kernel_id": "888094"}, {"ref": "kmader/label-analysis", "kernel_id": "889358"}, {"ref": "mattobrien415/improving-masks-creating-borders-between-objects", "kernel_id": "967111"}, {"ref": "lantingguo/get-a-few-images-and-labels-for-local-prototype", "kernel_id": "863836"}, {"ref": "jpmiller/cvpr-image-classes", "kernel_id": "818217"}, {"ref": "aakashnain/firstlook", "kernel_id": "820667"}, {"ref": "jihyeseo/video-seg-movable-objects", "kernel_id": "958568"}, {"ref": "andrewrib/recovering-the-videos", "kernel_id": "825327"}, {"ref": "kjeanclaude/wad-video-full-implementation-atoz-tfkeras", "kernel_id": "896087"}, {"ref": "kjeanclaude/download-train-test-samples-for-local-prototype", "kernel_id": "866188"}, {"ref": "efezinoerome/firstlook", "kernel_id": "836396"}, {"ref": "bisonsam/cvpr-eda-with-faster-labeling", "kernel_id": "879754"}, {"ref": "kmader/hr-vehicle-spatial-unet-segmentation", "kernel_id": "1273921"}, {"ref": "lcantat/build-database-from-text-files", "kernel_id": "1002739"}, {"ref": "ishootlaser/cvrp-2018-starter-kernel-u-net-with-resnet50", "kernel_id": "1000870"}, {"ref": "dession/first", "kernel_id": "1140212"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "ivansharun/cvpr-2018-wad-vsc-preparing", "kernel_id": "51784111"}, {"ref": "ivanbugaenko/fit-predict1", "kernel_id": "51574722"}, {"ref": "miketsvirkunov/resnet50", "kernel_id": "53131951"}, {"ref": "dytsou/notebooka3dcec00b0", "kernel_id": "84644887"}]}
{"competition_id": "8900", "kernels": [{"ref": "morenoh149/freesound-n-y-c", "kernel_id": "980468"}, {"ref": "inversion/freesound-starter-kernel", "kernel_id": "782413"}, {"ref": "opanichev/lightgbm-baseline", "kernel_id": "799145"}, {"ref": "CVxTz/keras-cnn-starter", "kernel_id": "799795"}, {"ref": "anmour/svm-using-mfcc-features", "kernel_id": "831664"}, {"ref": "mpotma/learndatascience-presentation-lgbm-lb-0-836", "kernel_id": "939297"}, {"ref": "jihyeseo/classify-recognize-sound", "kernel_id": "958577"}, {"ref": "fizzbuzz/beginner-s-guide-to-audio-data", "kernel_id": "815025"}, {"ref": "lesibius/data-augmentation-adding-signals", "kernel_id": "836276"}, {"ref": "lesibius/fft-pre-processing-for-neural-networks", "kernel_id": "822199"}, {"ref": "tetyanayatsenko/xgb-using-mfcc-opanichev-s-featur-02", "kernel_id": "818579"}, {"ref": "efezinoerome/beginner-s-guide-to-audio-data", "kernel_id": "847799"}, {"ref": "amlanpraharaj/random-forest-using-mfcc-features", "kernel_id": "802474"}, {"ref": "amlanpraharaj/xgb-using-mfcc-opanichev-s-features-lb-0-811", "kernel_id": "803364"}, {"ref": "matthewa313/removing-uninformative-parts-of-audio-files", "kernel_id": "828144"}, {"ref": "codename007/a-very-extensive-freesound-exploratory-analysis", "kernel_id": "794158"}, {"ref": "ilyamich/mfcc-implementation-and-tutorial", "kernel_id": "858739"}, {"ref": "ilyamich/remove-uninformative-parts-from-the-audio-files", "kernel_id": "806788"}, {"ref": "miklgr500/catboost-mfcc", "kernel_id": "806853"}, {"ref": "nickgiangreco/20180514-freesound-eda-audioframes", "kernel_id": "980350"}, {"ref": "thebrownviking20/xgb-using-lda-and-mfcc-opanichev-s-features", "kernel_id": "807711"}, {"ref": "sunqpark/data-loader-for-pytorch-with-mfcc", "kernel_id": "877041"}, {"ref": "kmader/sound-classifier-baseline", "kernel_id": "1778137"}, {"ref": "kmader/spectrogram-classifier-mobilenet", "kernel_id": "1785089"}, {"ref": "renatoh/sound-classification-pucp", "kernel_id": "1723456"}, {"ref": "sleebapaul/audio-dataset-cleaning", "kernel_id": "1412959"}, {"ref": "morrisb/freesound-classification", "kernel_id": "1274914"}, {"ref": "ashishpatel26/best-trick-for-audio-data", "kernel_id": "1097313"}, {"ref": "ivoryblak/developing-tools-with-a-dog-bark", "kernel_id": "1339640"}, {"ref": "nafisur/beginner-s-guide-to-audio-data-90b7f7", "kernel_id": "1341730"}, {"ref": "daisukelab/freesound-dataset-kaggle-2018-solution", "kernel_id": "1378425"}, {"ref": "aadan2017/log-mel-features-shown-by-category", "kernel_id": "1157705"}, {"ref": "khalidhuseynov/freesound-audio-tagging-competition-keras", "kernel_id": "1228057"}, {"ref": "kimmoo/spectograms", "kernel_id": "1250730"}, {"ref": "agehsbarg/audio-challenge-cnn-with-concatenated-inputs", "kernel_id": "1036990"}, {"ref": "plumeria/fsdkaggle2018-challenge-and-visualization", "kernel_id": "1326252"}, {"ref": "jpatte75/kernel6a6abceff7", "kernel_id": "1166737"}, {"ref": "mdwinkler/a-very-extensive-freesound-exploratory-fixed", "kernel_id": "1724708"}, {"ref": "ejlok1/part-2-extracting-audio-features", "kernel_id": "2671750"}, {"ref": "petrosi/machine-learning-assignment", "kernel_id": "2969671"}, {"ref": "vanche/forked-freesound-dataset-kaggle-2018-solution", "kernel_id": "3636397"}, {"ref": "fanhaobei/beginner-s-guide-to-audio-data-fan", "kernel_id": "3569315"}, {"ref": "ashishpatel26/master-guide-for-audio-processing-using-fastai", "kernel_id": "4559209"}, {"ref": "bharat2905/audio-tagging", "kernel_id": "4346724"}, {"ref": "saitanya/audio-recognition", "kernel_id": "4986429"}, {"ref": "jkl133/project-free-sound-classifier", "kernel_id": "5643004"}, {"ref": "parkkihyun/fork-of-kernel2739c193de-66a8c2", "kernel_id": "7826075"}, {"ref": "parkkihyun/kernel2739c193de", "kernel_id": "7510857"}, {"ref": "danielh13/deep-learning-project", "kernel_id": "7929585"}, {"ref": "gpdsec/cough-detectore", "kernel_id": "10031943"}, {"ref": "gpdsec/cough2", "kernel_id": "10056090"}, {"ref": "aditya48/sound-classifier-introduction", "kernel_id": "10434310"}, {"ref": "mrhippo/audio-generation-with-simple-gans", "kernel_id": "10559494"}, {"ref": "tanulsingh077/audio-albumentations-transform-your-audio", "kernel_id": "11398541"}, {"ref": "mrhippo/introduction-to-sound-analysis", "kernel_id": "11145778"}, {"ref": "saztorralba/audiotagging-cnnfftclassifier", "kernel_id": "12672887"}, {"ref": "ashwanikumar04/audio-tagging", "kernel_id": "13863221"}, {"ref": "kwanghoum/rubato-librosa", "kernel_id": "14457680"}, {"ref": "mehmetokuyar/eda-voice", "kernel_id": "14929325"}, {"ref": "fajarferdiawan/notebook878741cc0e", "kernel_id": "15295718"}, {"ref": "ucihamartu/part-2-extracting-audio-features", "kernel_id": "18809812"}, {"ref": "gopalmahadevan/beginner-s-guide-to-audio-data", "kernel_id": "21945645"}, {"ref": "dantingma/audio-classification", "kernel_id": "22961334"}, {"ref": "raymundobautista/beginner-s-guide-to-audio-data", "kernel_id": "22493330"}, {"ref": "linhpho1/lp-freesound-audio-vgg16-v01", "kernel_id": "24881020"}, {"ref": "drbeane/freesound-example", "kernel_id": "24934309"}, {"ref": "linhpho1/lp-freesound-audio-v02", "kernel_id": "25838579"}, {"ref": "linhpho1/lp-freesound-audio-v03", "kernel_id": "25838666"}, {"ref": "linhpho1/lp-freesound-audio-v01", "kernel_id": "25913354"}, {"ref": "linhpho1/lp-freesound-audio-resnet50-v01", "kernel_id": "25914122"}, {"ref": "linhpho1/lp-freesound-audio-vgg19-v01", "kernel_id": "25913960"}, {"ref": "panhwarparvez/freesound-dataset-kaggle-2018-solution", "kernel_id": "25402445"}, {"ref": "mariasamorodova/y-vector-identification", "kernel_id": "25896262"}, {"ref": "linhpho1/lp-freesound-audio-efficientnet-b1-v01", "kernel_id": "26194513"}, {"ref": "linhpho1/lp-freesound-audio-efficientnet-b0-v01", "kernel_id": "26088260"}, {"ref": "linhpho1/lp-freesound-audio-summary-notebook", "kernel_id": "26538247"}, {"ref": "linhpho1/lp-freesound-audio-eda-notebook", "kernel_id": "26538415"}, {"ref": "linhpho1/lp-freesound-audio-evaluation-notebook", "kernel_id": "26628376"}, {"ref": "mariasamorodova/acoustic-event-detection", "kernel_id": "26573411"}, {"ref": "artemygolovnev/audio-tagging-with-librosa-nn", "kernel_id": "27397098"}, {"ref": "anumzeeshan/audio-generation-with-simple-gans", "kernel_id": "28928725"}, {"ref": "yuichirohanada/audio-efficientnet", "kernel_id": "29015620"}, {"ref": "umairnizam/audio-tagging-with-librosa-nn", "kernel_id": "29884054"}, {"ref": "nicthibodeaux/beginner-s-guide-to-audio-data", "kernel_id": "30667405"}, {"ref": "ikbalkrdl/audio-cllasification-ipynb", "kernel_id": "34587444"}, {"ref": "longx99/mfcc-implementation", "kernel_id": "36568916"}, {"ref": "tomchen2003611/mfcc-implementation-and-tutorial", "kernel_id": "37661087"}, {"ref": "zubairazimmiazi/audio-data-namipulation", "kernel_id": "38830935"}, {"ref": "crimsoneer/ml-for-senior-leaders-workshop-complete", "kernel_id": "40520626"}, {"ref": "crimsoneer/ml-for-senior-leaders-workshop-tutorial", "kernel_id": "40579189"}, {"ref": "crimsoneer/rapid-data-science-for-senior-leaders-tutorial", "kernel_id": "40869924"}, {"ref": "crimsoneer/rapid-data-science-for-senior-leaders-complete", "kernel_id": "40784599"}, {"ref": "dmitryzaykov/pytorch-and-efficientnet-b0", "kernel_id": "43866816"}, {"ref": "foreveralove/8304-oblizanov-alexander", "kernel_id": "43522545"}, {"ref": "daniilzuevv/freesound-audio-tagging", "kernel_id": "44560716"}, {"ref": "blackjacl/notebookb6cc905d5b", "kernel_id": "44722227"}, {"ref": "blackjacl/pytorch-audio", "kernel_id": "44723198"}, {"ref": "artyomlukyanov/lukyanov-8307-lab-1", "kernel_id": "44722178"}, {"ref": "vinitkp/audio-spectogram-classify-audio", "kernel_id": "45637068"}, {"ref": "alexandrpanarin/8307-panarin-lab1", "kernel_id": "45753442"}, {"ref": "angamber/khassanov-lab-1", "kernel_id": "46120290"}, {"ref": "ilyabatalev/notebook09f36eff3f", "kernel_id": "46940990"}, {"ref": "shustikovvladislav/notebook0d907f636f", "kernel_id": "47891338"}, {"ref": "eldarabibulaev/lab1-abibulaev", "kernel_id": "47840238"}, {"ref": "goldlike693/plant", "kernel_id": "47401280"}, {"ref": "tkachevigor/8307-1-audio", "kernel_id": "48356005"}, {"ref": "pranked03/efficientnet-audio-classification-on-urbansound8k", "kernel_id": "49156079"}, {"ref": "vhongdiu/mfcc-implementation-and-tutorial", "kernel_id": "56593899"}, {"ref": "norms02/erebus-freesound-audio-resnet101", "kernel_id": "58365538"}, {"ref": "norms02/erebus-freesound-audio-vgg19-v01", "kernel_id": "58367606"}, {"ref": "norms02/erebus-freesound-audio-efficientnet-b4", "kernel_id": "58367088"}, {"ref": "phmquangt/vehicle-gradual-3-10-2024", "kernel_id": "59741010"}, {"ref": "phmquangt/pytorch-freesound-mel-spec", "kernel_id": "59740474"}, {"ref": "kuan2vn/pytorch-freesound-mel-spec", "kernel_id": "59251529"}, {"ref": "kuan2vn/reinforce-torch-freesound", "kernel_id": "60406607"}, {"ref": "monakumari/freesound-audio-tagging", "kernel_id": "61587755"}, {"ref": "kuan2vn/final2-pytorch-freesound-mel-spec-fa488e", "kernel_id": "61537071"}, {"ref": "firetrn/mfcc-implementation", "kernel_id": "62377641"}, {"ref": "ayupovrenat/9307-1", "kernel_id": "68306686"}, {"ref": "mariasorochina/notebook-lw-1", "kernel_id": "68164173"}, {"ref": "kazantsevalexandr/9307-kazantsevam-lab1", "kernel_id": "68407303"}, {"ref": "sergeystud/tinyakov-audio-edu", "kernel_id": "68227913"}, {"ref": "matmanbj/9307-sobolevms-lab-1", "kernel_id": "68355788"}, {"ref": "kucjiothbi1/yushin-lab1", "kernel_id": "70484439"}, {"ref": "dadamtreece/at-freesound-data-prep-final", "kernel_id": "70988963"}, {"ref": "dadamtreece/at-freesound-training", "kernel_id": "70990159"}, {"ref": "dadamtreece/at-freesound-v8", "kernel_id": "70112110"}, {"ref": "dadamtreece/at-freesound-submission", "kernel_id": "70139570"}, {"ref": "pirjan/final", "kernel_id": "72821525"}, {"ref": "mminullin/minullinlab1", "kernel_id": "75478430"}, {"ref": "lhatmjnk/mfcc-implementation-and-tutorial", "kernel_id": "82942638"}, {"ref": "quangthnhtrn/notebookd47155a653", "kernel_id": "83383826"}, {"ref": "zestdapoet/mfcc-implementation-and-tutorial", "kernel_id": "83289092"}, {"ref": "kuanchan2003/mfcc2105", "kernel_id": "83385959"}, {"ref": "valeriafurina/furinavd-lab1", "kernel_id": "94955876"}, {"ref": "alekseysavinov/notebookb3bc49e45e", "kernel_id": "95505905"}, {"ref": "alexanderarchon/freesound-cnn-fedotovam-lab1", "kernel_id": "95674436"}, {"ref": "zukenaiberkimbay/lab1-zulkarnain-0304", "kernel_id": "95779731"}, {"ref": "michaelzhegalin/lab1-zhegalin", "kernel_id": "95541103"}, {"ref": "pankoivan0307/lab1-pankoivan0307", "kernel_id": "95495504"}, {"ref": "kareemali88/lab1-0304", "kernel_id": "96075232"}, {"ref": "pipopolam/levushkina-svetlana-2307", "kernel_id": "98754958"}, {"ref": "vadimnechaevs/nechaev-vadim-2381-1", "kernel_id": "98476962"}, {"ref": "danieltirael/zhinkindaniil-2311-lab1", "kernel_id": "99190018"}, {"ref": "fur911/2310-idirov-a-k-lab1", "kernel_id": "99044139"}, {"ref": "alexeagle1535/lr1-orloval-0307", "kernel_id": "101887068"}, {"ref": "maximolifer/2311-olifer-lab1", "kernel_id": "102872256"}, {"ref": "sarajkinalex/saraikin-alex-2372-1", "kernel_id": "103632815"}, {"ref": "k4th4ros/tagging", "kernel_id": "104506960"}, {"ref": "ahmed199raiz0/gomaa-labb1-0304", "kernel_id": "104568906"}, {"ref": "purtovnm/purtov-2311", "kernel_id": "105568507"}, {"ref": "shmlvssh/freesound-shumilov-aleksandr-2304", "kernel_id": "105171212"}, {"ref": "thedronny/sva-pravdin-1", "kernel_id": "107482235"}, {"ref": "canhb22dccn026/notebook6d2103cde3", "kernel_id": "113333956"}, {"ref": "kelbycraft/kwc-freesound-model-v01", "kernel_id": "127815470"}, {"ref": "kelbycraft/kwc-freesound", "kernel_id": "127809296"}, {"ref": "kelbycraft/kwc-freesound-model-v02", "kernel_id": "128627239"}, {"ref": "kelbycraft/kwc-freesound-yamnet-embeddings-v01", "kernel_id": "129414295"}, {"ref": "kelbycraft/kwc-freesound-yamnet-cv-v01", "kernel_id": "130886637"}, {"ref": "kelbycraft/kwc-freesound-cnn-cv-v01", "kernel_id": "130886783"}, {"ref": "kelbycraft/freesound-spectrograms-256mel-v01", "kernel_id": "130260678"}, {"ref": "kelbycraft/kwc-freesound-mnv2-256mel-v01", "kernel_id": "130271021"}, {"ref": "kelbycraft/kwc-freesound-cnn-256mel-v01", "kernel_id": "130267762"}, {"ref": "kelbycraft/kwc-final-notebook", "kernel_id": "131645608"}]}
{"competition_id": "8906", "kernels": []}
{"competition_id": "8910", "kernels": []}
{"competition_id": "8916", "kernels": []}
{"competition_id": "8933", "kernels": []}
{"competition_id": "8935", "kernels": []}
{"competition_id": "8937", "kernels": []}
{"competition_id": "8943", "kernels": []}
{"competition_id": "8947", "kernels": []}
{"competition_id": "8970", "kernels": []}
{"competition_id": "8991", "kernels": []}
{"competition_id": "9004", "kernels": []}
{"competition_id": "9010", "kernels": [{"ref": "shareditor/adagrad", "kernel_id": "784872"}]}
{"competition_id": "9014", "kernels": []}
{"competition_id": "9015", "kernels": [{"ref": "jeannied/basic-model", "kernel_id": "886295"}]}
{"competition_id": "9020", "kernels": []}
{"competition_id": "9023", "kernels": [{"ref": "marlesson/data-explorer-transform-and-build-model-keras", "kernel_id": "805787"}]}
{"competition_id": "9024", "kernels": []}
{"competition_id": "9033", "kernels": []}
{"competition_id": "9051", "kernels": []}
{"competition_id": "9057", "kernels": []}
{"competition_id": "9058", "kernels": []}
{"competition_id": "9075", "kernels": []}
{"competition_id": "9076", "kernels": []}
{"competition_id": "9096", "kernels": []}
{"competition_id": "9102", "kernels": [{"ref": "zsugabubus27/dap-nagyhf-with-gbm", "kernel_id": "1011753"}]}
{"competition_id": "9106", "kernels": []}
{"competition_id": "9108", "kernels": []}
{"competition_id": "9113", "kernels": []}
{"competition_id": "9118", "kernels": []}
{"competition_id": "9120", "kernels": [{"ref": "cast42/cohen-effect-size", "kernel_id": "993481"}, {"ref": "cast42/cohen-effect-size-feature-importance", "kernel_id": "994829"}, {"ref": "cast42/upsample-minority-class-and-ligthgbm", "kernel_id": "999480"}, {"ref": "kailex/tidy-xgb-0-778", "kernel_id": "996073"}, {"ref": "ambarish/eda-xgb-lgbm-home-credit-default-risk", "kernel_id": "995812"}, {"ref": "zahedi/first-xgb", "kernel_id": "994566"}, {"ref": "madcap/hyperparameter-tuning-with-caret", "kernel_id": "996898"}, {"ref": "cttsai/good-fun-with-ligthgbm-more-features", "kernel_id": "999722"}, {"ref": "cttsai/good-fun-with-ligthgbm-trial", "kernel_id": "999440"}, {"ref": "abhilashawasthi/first-lightgbm", "kernel_id": "993718"}, {"ref": "jpmiller/patterns-of-missing-data", "kernel_id": "999782"}, {"ref": "legorreta/first-model-lightgbm", "kernel_id": "992979"}, {"ref": "prajju/overview-of-home-credit-default-risk-data", "kernel_id": "993860"}, {"ref": "ogrellier/good-fun-with-ligthgbm", "kernel_id": "993505"}, {"ref": "gemartin/load-data-reduce-memory-usage", "kernel_id": "996835"}, {"ref": "georsara1/an-example-with-neural-networks", "kernel_id": "999304"}, {"ref": "eliotbarr/stacking-test-sklearn-xgboost-catboost-lightgbm", "kernel_id": "994048"}, {"ref": "keerthisaran/automated-eda-home-credit-default-risk", "kernel_id": "996712"}, {"ref": "crazydiv/eda-using-seaborn-and-matplotlib", "kernel_id": "994316"}, {"ref": "dolan94/data-exploration-home-credit-default-risk", "kernel_id": "997865"}, {"ref": "artgor/eda-basic-fe-and-lgb", "kernel_id": "993138"}, {"ref": "mrstotoro/starting", "kernel_id": "989863"}, {"ref": "gpreda/home-credit-default-risk-extensive-eda", "kernel_id": "999851"}, {"ref": "fabiendaniel/home-credit-nomenclature", "kernel_id": "999291"}, {"ref": "nicapotato/missing-values-explorations", "kernel_id": "994437"}, {"ref": "yekenot/catboostarter", "kernel_id": "994535"}, {"ref": "wesamelshamy/applicants-analysis-home-credit-default-risk", "kernel_id": "992841"}, {"ref": "codename007/home-credit-complete-eda-feature-importance", "kernel_id": "992671"}, {"ref": "huangjennifer947/matching-donors-causes-selection", "kernel_id": "992806"}, {"ref": "shaz13/clever-codes-in-place-do-it-swiftly", "kernel_id": "994466"}, {"ref": "wolfgangb33r/first-home-credit-data-analysis", "kernel_id": "993930"}, {"ref": "couyang/home-credit-eda-lightgbm", "kernel_id": "993426"}, {"ref": "kosovanolexandr/home-credit-default-risk-competition", "kernel_id": "998262"}, {"ref": "shivamb/homecreditrisk-extensive-eda-baseline-0-772", "kernel_id": "993573"}, {"ref": "isr1512/home-credit-expanded-detailed-data-analysis", "kernel_id": "997412"}, {"ref": "arthurpaulino/metadata-compilation", "kernel_id": "994626"}, {"ref": "cafeal/lightgbm-trial-public-0-742", "kernel_id": "993158"}, {"ref": "gauravtaneja/home-credit-take0", "kernel_id": "1014065"}, {"ref": "lemonkoala/15-lines-just-ext-source-x", "kernel_id": "1008372"}, {"ref": "enessari/kernel13139dc312", "kernel_id": "1621270"}, {"ref": "titericz/visualizing-user-ids", "kernel_id": "1547453"}, {"ref": "titericz/giba-post-processing-user-id-boost", "kernel_id": "1585589"}, {"ref": "cast42/lightgbm-model-explained-by-shap", "kernel_id": "1025021"}, {"ref": "cast42/feature-importance-and-dependence-plot-with-shap", "kernel_id": "1015620"}, {"ref": "satyaprakash1986/eda-final", "kernel_id": "1395930"}, {"ref": "kailex/tidy-xgb-all-tables-0-796", "kernel_id": "1084811"}, {"ref": "lokendradevangan/home-credit-default-prediction-roc-70-accuracy", "kernel_id": "1318476"}, {"ref": "lokendradevangan/home-credit-data-exploration", "kernel_id": "1247223"}, {"ref": "lokendradevangan/home-credit-initial-data-exploration", "kernel_id": "1267237"}, {"ref": "lokendradevangan/default-prediction-feature-engineering", "kernel_id": "1408421"}, {"ref": "danofer/housecredit-clean-feats-simple", "kernel_id": "1187927"}, {"ref": "danofer/fork-lightgbm-with-simple-features-oof-preds", "kernel_id": "1228914"}, {"ref": "suvrathiran/starter-code-for-pytorch", "kernel_id": "1060233"}, {"ref": "xiiiii/homecredit-morefiles", "kernel_id": "1426062"}, {"ref": "queirozfcom/v0-only-main-dataset", "kernel_id": "1259310"}, {"ref": "queirozfcom/v1-main-dataset-and-bureau-only", "kernel_id": "1259411"}, {"ref": "ankitmalik/simple-exploration-in-python", "kernel_id": "1090372"}, {"ref": "totalrecall/intro-to-credit-default-risk-project", "kernel_id": "1248081"}, {"ref": "sriramanathan/basic-feature-engineering-lgbm-lb-0-768", "kernel_id": "1056806"}, {"ref": "rabbani/home-credit-eda-model", "kernel_id": "1306095"}, {"ref": "shafinmohammad/home-credit-default-risk-baseline-model", "kernel_id": "1544434"}, {"ref": "morgantam/credit-skeleton-morgan-downsampling", "kernel_id": "1087542"}, {"ref": "morgantam/credit-skeleton-application-train-team", "kernel_id": "1088588"}, {"ref": "missmoss/eda-home-credit-chinese", "kernel_id": "1417940"}, {"ref": "thomasseleck/extensive-eda-for-all-features-of-home-credit-data", "kernel_id": "1006845"}, {"ref": "scirpus/basic-jeepy", "kernel_id": "1020569"}, {"ref": "scirpus/hybrid-jeepy-and-lgb", "kernel_id": "1056491"}, {"ref": "scirpus/hybrid-jeepy-and-lgb-ii", "kernel_id": "1078102"}, {"ref": "scirpus/time-series-example", "kernel_id": "1127369"}, {"ref": "scirpus/clustering-using-genetic-programming", "kernel_id": "1268337"}, {"ref": "scirpus/pure-gp-with-mean-squared-error", "kernel_id": "1443616"}, {"ref": "scirpus/pure-gp-with-logloss", "kernel_id": "1462214"}, {"ref": "abimannan/home-value-prediction-light", "kernel_id": "1207412"}, {"ref": "nickel/austral-uni-k3-lstm", "kernel_id": "1087734"}, {"ref": "nickel/austral-uni-k2-2nd-benchmark", "kernel_id": "1073828"}, {"ref": "nickel/austral-uni-k1-simple-eda-benchmark", "kernel_id": "1058534"}, {"ref": "nickel/austral-uni-k4-lstm-1", "kernel_id": "1259434"}, {"ref": "perrygrossman/pg-using-start-here-a-gentle-intro-287b4b", "kernel_id": "1722547"}, {"ref": "cttsai/good-fun-with-ligthgbm-meanenc-more-features", "kernel_id": "1004701"}, {"ref": "bharathts15/more-features-and-better-model", "kernel_id": "1258164"}, {"ref": "chemaplana/the-accountant-simple-visualisation", "kernel_id": "1192696"}, {"ref": "chadalee/home-credit-default-risk-part-1", "kernel_id": "1570222"}, {"ref": "shayak94/lb-0-773-baseline-score", "kernel_id": "1046068"}, {"ref": "rkmalaiya/exploring-data-cardinality-for-single-customer", "kernel_id": "1242983"}, {"ref": "balajisr/btb-within-a-minute-with-13-features-xgb", "kernel_id": "1002958"}, {"ref": "legorreta/simple-model-with-all-tables-778", "kernel_id": "1020719"}, {"ref": "sarkarnarayan/home-credit-lightgbm-prediction-0-793-auc", "kernel_id": "1432632"}, {"ref": "davidsalazarv95/fast-ai-pytorch-starter-version-two", "kernel_id": "1154375"}, {"ref": "davidsalazarv95/home-credit-data-processing-for-neural-networks", "kernel_id": "1092611"}, {"ref": "davidsalazarv95/fast-ai-pytorch", "kernel_id": "1095268"}, {"ref": "ferodia/lighgbm-with-selected-features-impr", "kernel_id": "1237588"}, {"ref": "cilliand/home-credit-default-risk-data-exploration", "kernel_id": "1127489"}, {"ref": "raddar/a-competition-without-a-leak-or-is-it", "kernel_id": "1540822"}, {"ref": "indranilbhattacharya/getting-rid-of-ext-source-variables", "kernel_id": "1058154"}, {"ref": "crldata/start-here-a-gentle-introduction-312251", "kernel_id": "1147836"}, {"ref": "tunguz/xgb-simple-features", "kernel_id": "1181496"}, {"ref": "johnfarrell/hcdr-map-reduce-exp", "kernel_id": "1501139"}, {"ref": "johnfarrell/hcdr-mr-feat-prevapp", "kernel_id": "1524173"}, {"ref": "johnfarrell/hcdr-mr-feat-bureau", "kernel_id": "1522143"}, {"ref": "johnfarrell/hcdr-mr-feat-cc", "kernel_id": "1519878"}, {"ref": "johnfarrell/hcdr-mr-feat-poscash", "kernel_id": "1519509"}, {"ref": "johnfarrell/hcdr-mr-feat-ins", "kernel_id": "1518612"}, {"ref": "johnfarrell/hcdr-prepare-data-application", "kernel_id": "1352980"}, {"ref": "johnfarrell/hcdr-prepare-kfold", "kernel_id": "1248472"}, {"ref": "jordanrex/homecredit-h20ensemble-wip", "kernel_id": "1027942"}, {"ref": "hmendonca/lightgbm-predictions-explained-with-shap-0-796", "kernel_id": "1438465"}, {"ref": "bikash02/home-credit-default-risk-prediction-lb-0-780", "kernel_id": "1546749"}, {"ref": "dondapati/homecredit", "kernel_id": "1246211"}, {"ref": "praxitelisk/home-credit-default-risk-competition-gentle-intro", "kernel_id": "1471793"}, {"ref": "flagshipdynamics/home-credit-default-risk-cnn", "kernel_id": "1106285"}, {"ref": "ogrellier/lighgbm-with-selected-features", "kernel_id": "1164056"}, {"ref": "ogrellier/feature-selection-with-null-importances", "kernel_id": "1062852"}, {"ref": "ogrellier/home-credit-hyperopt-optimization", "kernel_id": "1245463"}, {"ref": "mtakushi/sql-schemas", "kernel_id": "1294748"}, {"ref": "robertknight/home-credit-default-risk-modelling", "kernel_id": "1941324"}, {"ref": "georsara1/featuretools-feature-engineering-is-it-worth-it", "kernel_id": "1084454"}, {"ref": "georsara1/lightgbm-all-tables-included-0-778", "kernel_id": "1022591"}, {"ref": "georsara1/warning-covariate-shift-detected", "kernel_id": "1265012"}, {"ref": "tejase13/data-exploration", "kernel_id": "1477909"}, {"ref": "tilii7/olivier-lightgbm-parameters-by-bayesian-opt", "kernel_id": "1058824"}, {"ref": "syroh90/enssenble-using-two-models", "kernel_id": "1001429"}, {"ref": "wrosinski/featureaggregator-end-to-end-feature-engineering", "kernel_id": "1426541"}, {"ref": "wrosinski/ml-workflow-reusability", "kernel_id": "1482177"}, {"ref": "wrosinski/featureaggregator-automated", "kernel_id": "1494368"}, {"ref": "shenba/home-credit-v2-07jun-2018", "kernel_id": "1081382"}, {"ref": "shenba/home-credit-eda-23may2018", "kernel_id": "1014634"}, {"ref": "shenba/home-credit-v6-12jun2018", "kernel_id": "1110759"}, {"ref": "fontoura/start-here-a-gentle-introduction-bd2d53", "kernel_id": "1545778"}, {"ref": "ranliu/baseline-lgbm-in-r", "kernel_id": "1338834"}, {"ref": "amir92/home-credit-logistic-regresion-and-gbm-modeling", "kernel_id": "1984566"}, {"ref": "bhavesh09/eda-using-plotnine", "kernel_id": "1104306"}, {"ref": "garylai91/inefficient-feature-engineering", "kernel_id": "1245855"}, {"ref": "alexdembo/home-credit-alex-dembo", "kernel_id": "1435925"}, {"ref": "isaranja/home-credit-nn-ae-lgb", "kernel_id": "1114299"}, {"ref": "isaranja/home-credit-eda-fe-ft", "kernel_id": "1097435"}, {"ref": "yangminghan912/xgboost", "kernel_id": "1235989"}, {"ref": "fabienvs/eda-diving-into-home-credit-data", "kernel_id": "1020400"}, {"ref": "arindamgot/stack-ensemble", "kernel_id": "1160430"}, {"ref": "luudactam/hc-v600", "kernel_id": "1533277"}, {"ref": "luudactam/hc-v500", "kernel_id": "1511034"}, {"ref": "dfoly1/home-credit-eda", "kernel_id": "1030238"}, {"ref": "dfoly1/home-credit-feature-engineering-and-prediction", "kernel_id": "1087344"}, {"ref": "ejmurray/start-here-a-gentle-introduction", "kernel_id": "1191308"}, {"ref": "hendraherviawan/home-credit-female-vs-male-default-analyst", "kernel_id": "1091314"}, {"ref": "nikitpatel/home-credit-xgboost", "kernel_id": "1189554"}, {"ref": "nikitpatel/home-credit-catboost", "kernel_id": "1185243"}, {"ref": "nikitpatel/feature-engineering-lightgbm-xgboost-catboost", "kernel_id": "1135186"}, {"ref": "nikitpatel/exploration-e-crel-it", "kernel_id": "1097522"}, {"ref": "nikitpatel/home-credit-lightgbm", "kernel_id": "1215924"}, {"ref": "alijs1/explaining-model-s-predictions", "kernel_id": "1224429"}, {"ref": "yyoshiaki/fork-of-magic-of-weighted-average-rank-0-80", "kernel_id": "1381243"}, {"ref": "noklamchan/interesting-eda-pattern-on-sk-id-curr", "kernel_id": "1063522"}, {"ref": "noklamchan/is-test-data-truely-randomly-picked", "kernel_id": "1051417"}, {"ref": "ryanluo/cat-and-lgb-ensemble", "kernel_id": "1010026"}, {"ref": "blackbee2016/good-fun-with-automation", "kernel_id": "1052311"}, {"ref": "kingychiu/dimensionality-reduction-on-application-data", "kernel_id": "1260399"}, {"ref": "kingychiu/home-credit-eda-distributions-and-outliers", "kernel_id": "1020330"}, {"ref": "cklwankaggle/lightgbm-try", "kernel_id": "1093395"}, {"ref": "stefano2580/my-first-titanic-data-analysis-ever", "kernel_id": "1186263"}, {"ref": "muhammedfathi/home-credit-default-risk-competition-my", "kernel_id": "1564362"}, {"ref": "muhammedfathi/fork-of-home-credit-default-risk-competition-my", "kernel_id": "1569470"}, {"ref": "fanzzz/feature-cleaning-after-understanding-variables", "kernel_id": "1423556"}, {"ref": "fanzzz/understand-variables-in-chinese", "kernel_id": "1420988"}, {"ref": "fanzzz/basic-feature-selection", "kernel_id": "1489269"}, {"ref": "venkatkolli/home-credit-default-risk-ml-practice", "kernel_id": "1216704"}, {"ref": "frednavruzov/auto-feature-generation-featuretools-example", "kernel_id": "1100991"}, {"ref": "artgor/nn-with-convolution-over-prev-app-and-bureau", "kernel_id": "1518315"}, {"ref": "shig1211/lightgbm-with-simple-features", "kernel_id": "1268300"}, {"ref": "ejrueda95/firts-test", "kernel_id": "1129698"}, {"ref": "ezornow/credit-skeleton", "kernel_id": "1012040"}, {"ref": "ezornow/simple-ffnn-with-rank-gauss-and-early-auc-stopping", "kernel_id": "1499104"}, {"ref": "debmishra/base-lgb-more-featuresv1-6", "kernel_id": "1476759"}, {"ref": "shivampanchal/0-792-lb-extracted-features-with-lightgbm", "kernel_id": "1529621"}, {"ref": "nick2logan/tidy-xgb-import-nikhil", "kernel_id": "1451050"}, {"ref": "moizzz/applied-predictive-modelling-brief-overview", "kernel_id": "1209928"}, {"ref": "hammadkhan/homecreditdefaultrisk-simpleblend-0-798", "kernel_id": "1215845"}, {"ref": "hrmello/application-train-imputation-guide-and-pca", "kernel_id": "1044256"}, {"ref": "gregory711/good-fun-with-ligthgbm", "kernel_id": "1152237"}, {"ref": "astrus/entity-embedding-neural-network-keras-lb-0-748", "kernel_id": "1077702"}, {"ref": "manjeetsingh/home-credit-risk", "kernel_id": "1163895"}, {"ref": "sonnyto/home-credit-default-risk", "kernel_id": "1096088"}, {"ref": "ivobernardo/eda-application-bureau-prev-app-r", "kernel_id": "1539762"}, {"ref": "eklavyaattar/vda-homecredit", "kernel_id": "1297096"}, {"ref": "alimpolat/alim-copy-eda-basic-fe-and-lgb", "kernel_id": "1523719"}, {"ref": "tetyanayatsenko/tidy-xgb-0-777-change", "kernel_id": "1006571"}, {"ref": "adamsfei/knn-on-application-train-pca-for-ensembling", "kernel_id": "1368633"}, {"ref": "kkaczmarek/features-application-data-open-solution", "kernel_id": "1277914"}, {"ref": "kkaczmarek/features-previous-application-data-open-solution", "kernel_id": "1278887"}, {"ref": "kkaczmarek/features-installments-data-open-solution", "kernel_id": "1278751"}, {"ref": "kkaczmarek/features-pos-cash-balance-open-solution", "kernel_id": "1308394"}, {"ref": "ashishpatel26/home-crerit-default-risk-002", "kernel_id": "1086270"}, {"ref": "ashishpatel26/home-credit-default-risk-001", "kernel_id": "1085720"}, {"ref": "ashishpatel26/home-credit-default-analysis", "kernel_id": "1085108"}, {"ref": "ashishpatel26/automatic-feature-engineering", "kernel_id": "1115657"}, {"ref": "ashishpatel26/ultimate-guide", "kernel_id": "1203190"}, {"ref": "ashishpatel26/different-basic-blends-possible", "kernel_id": "1537568"}, {"ref": "ashishpatel26/kfold-lightgbm", "kernel_id": "1446148"}, {"ref": "nilzone/lightgbm", "kernel_id": "1060579"}, {"ref": "nilzone/lgbm-with-mean-encodings", "kernel_id": "1002650"}, {"ref": "mingpeiyu/stacking-test-sklearn-xgboost-catboost-lightgbm", "kernel_id": "1036993"}, {"ref": "nicapotato/catboost-aggregate-features", "kernel_id": "1004986"}, {"ref": "nicapotato/xgboost-on-aggregate-features", "kernel_id": "1068599"}, {"ref": "aamirsiddiqui/house-prices-eda-and-regression-analysis", "kernel_id": "1286346"}, {"ref": "rquintino/minimal-pipeline-lightgbm-lb-744-auc", "kernel_id": "1933490"}, {"ref": "jpnewmenji/eda-home-credit", "kernel_id": "1196460"}, {"ref": "aharless/freeze-davidsalazar-fast-ai-pytorch-nn-763", "kernel_id": "1216783"}, {"ref": "aharless/blend-of-4-neural-networks", "kernel_id": "1345484"}, {"ref": "aharless/freeze-james-shepherd-upsampling-tf-nn-755", "kernel_id": "1344924"}, {"ref": "aharless/freeze-aarraneo-convolutional-nn-763", "kernel_id": "1344933"}, {"ref": "aharless/adversarial", "kernel_id": "1299972"}, {"ref": "aharless/save-dromosys-features", "kernel_id": "1328827"}, {"ref": "aharless/simple-ffnn-from-dromosys-features", "kernel_id": "1331600"}, {"ref": "bortoli/visual-data", "kernel_id": "1026603"}, {"ref": "jordanhowell/g-store-data-prep-first-kernel-ever", "kernel_id": "1595452"}, {"ref": "prashanththangavel/flag-doc-black-jack-hit-or-stay", "kernel_id": "1250618"}, {"ref": "fox10225fox/home-credit-fastai-trial", "kernel_id": "1027118"}, {"ref": "elliotbart/finding-interesting-features-w-chi2-statistic", "kernel_id": "1021676"}, {"ref": "weretew/home-credit-default-risk-lightgbm-0-773-public", "kernel_id": "1073635"}, {"ref": "raburgos/kernel6ade8b5e61", "kernel_id": "1492579"}, {"ref": "jsrshivam/homecreditsupervised", "kernel_id": "1331173"}, {"ref": "znyksh/fork-lightgbm-with-simple-features", "kernel_id": "1165993"}, {"ref": "bdtudos/1st-kaggle-deep-learning", "kernel_id": "1211682"}, {"ref": "bdtudos/1st-kaggle-xgboost-version", "kernel_id": "1267655"}, {"ref": "luanho/feature-importance-with-random-forest-and-xgboost", "kernel_id": "1080914"}, {"ref": "sudhirnl7/exploratory-data-analysis-gbm-model", "kernel_id": "1537787"}, {"ref": "rossrco/home-credit-equal-selection", "kernel_id": "1145011"}, {"ref": "myermukhanov/start-here-a-gentle-introduction", "kernel_id": "1382095"}, {"ref": "nikitabu/bayes-optimization-of-lightgbm-with-deep-features", "kernel_id": "1174628"}, {"ref": "ritsyelsa/notebook1", "kernel_id": "1297302"}, {"ref": "willkoehrsen/clean-manual-feature-engineering", "kernel_id": "1304215"}, {"ref": "willkoehrsen/model-tuning-results-random-vs-bayesian-opt", "kernel_id": "1289226"}, {"ref": "willkoehrsen/automated-model-tuning", "kernel_id": "1255405"}, {"ref": "willkoehrsen/intro-to-model-tuning-grid-and-random-search", "kernel_id": "1249981"}, {"ref": "willkoehrsen/start-here-a-gentle-introduction", "kernel_id": "1034046"}, {"ref": "willkoehrsen/feature-engineering-using-feature-tools", "kernel_id": "1030935"}, {"ref": "willkoehrsen/introduction-to-manual-feature-engineering", "kernel_id": "1080033"}, {"ref": "willkoehrsen/introduction-to-manual-feature-engineering-p2", "kernel_id": "1080455"}, {"ref": "willkoehrsen/tuning-automated-feature-engineering-exploratory", "kernel_id": "1133641"}, {"ref": "willkoehrsen/automated-feature-engineering-basics", "kernel_id": "1121402"}, {"ref": "willkoehrsen/introduction-to-feature-selection", "kernel_id": "1156791"}, {"ref": "burado88/eda-of-all-application-train-variables", "kernel_id": "1185917"}, {"ref": "nicolasgourlaouen/soumission-rc", "kernel_id": "1224566"}, {"ref": "nicolasgourlaouen/bayesian-optimization", "kernel_id": "1373714"}, {"ref": "nicolasgourlaouen/previous-models", "kernel_id": "1021471"}, {"ref": "nicolasgourlaouen/code-complet", "kernel_id": "1015140"}, {"ref": "varshithchikku/home-default-credit-risk-eda", "kernel_id": "1167568"}, {"ref": "osciiart/lightgbm-with-simple-features-in-jp", "kernel_id": "1197882"}, {"ref": "osciiart/homecreditrisk-extensive-eda-baseline-model-jp", "kernel_id": "1015986"}, {"ref": "nishantbigdata/eda-model-in-progress", "kernel_id": "1302799"}, {"ref": "wesamelshamy/standardize-your-data", "kernel_id": "1255236"}, {"ref": "samratrcs/default-vs-most-recent-atm-withdrawal", "kernel_id": "1297468"}, {"ref": "nikhilroxtomar/simple-ffnn-from-dromosys-features", "kernel_id": "1338753"}, {"ref": "dinozou/think-before-you-go", "kernel_id": "1033643"}, {"ref": "ynouri/random-forest-k-fold-cross-validation", "kernel_id": "1194539"}, {"ref": "nafisur/nr-home-credit-default-risk", "kernel_id": "1056158"}, {"ref": "shep312/catboost-comparison", "kernel_id": "1104679"}, {"ref": "shep312/lightgbm-harder-better-slower", "kernel_id": "1128619"}, {"ref": "shep312/lightgbm-with-weighted-averages-dropout-787", "kernel_id": "1010402"}, {"ref": "shep312/deep-learning-in-tf-with-upsampling-lb-758", "kernel_id": "1016314"}, {"ref": "ca3295/simple-method-for-time-series-data", "kernel_id": "1322358"}, {"ref": "rsmits/feature-selection-with-boruta", "kernel_id": "1497914"}, {"ref": "palak13/bureau-dataset-eda", "kernel_id": "1297079"}, {"ref": "scottchristensen/eda-of-home-credit-default-risk-competition-data", "kernel_id": "1296361"}, {"ref": "jacksmengel/home-away-eda-credit-card-balance-csv", "kernel_id": "1539349"}, {"ref": "jacksmengel/home-away-eda-installments-payments-csv", "kernel_id": "1539437"}, {"ref": "jacksmengel/home-away-eda-previous-application-csv", "kernel_id": "1535642"}, {"ref": "jacksmengel/home-away-submit-csv", "kernel_id": "1515243"}, {"ref": "jacksmengel/home-away-eda-bureau-csv", "kernel_id": "1270727"}, {"ref": "jacksmengel/home-away-eda-bureau-balance-csv", "kernel_id": "1035044"}, {"ref": "deepak2873/credit-bureau-imbalance-classification", "kernel_id": "1497332"}, {"ref": "slundberg/interpreting-a-lightgbm-model", "kernel_id": "1049768"}, {"ref": "glostas/use-naive-bayes-results-as-feature-lb-779-782", "kernel_id": "1103180"}, {"ref": "xucheng/cv-7993-private-score-7996", "kernel_id": "1543890"}, {"ref": "yurywallet/xgb-lgbm-vote", "kernel_id": "1163834"}, {"ref": "abhinav97dutt/xgb-beginner", "kernel_id": "1233526"}, {"ref": "abhinav97dutt/model-stacking", "kernel_id": "1254160"}, {"ref": "dsloet/fork-4-of-home-credit-default-risk-logs", "kernel_id": "1136016"}, {"ref": "tsnarendran14/extensive-feature-engineering", "kernel_id": "1306711"}, {"ref": "lucifer19/blender", "kernel_id": "1112225"}, {"ref": "msamido/msamido-home-loan-credit-risk", "kernel_id": "1103454"}, {"ref": "tottenham/10-fold-simple-dnn-with-rank-gauss", "kernel_id": "1471481"}, {"ref": "tottenham/10-fold-ridge-from-dromosys-features-lb-0-768", "kernel_id": "1454679"}, {"ref": "tottenham/save-selected-feature", "kernel_id": "1509075"}, {"ref": "kurupical/pattern-clustering", "kernel_id": "1357925"}, {"ref": "suchith0312/simple-data-analysis", "kernel_id": "1022543"}, {"ref": "ashukr/exploration-of-220-columns-1", "kernel_id": "1188746"}, {"ref": "ashukr/towards-the-statistical-analysis", "kernel_id": "1027513"}, {"ref": "ashukr/my-ridge-regression-against-scikit-learn-s", "kernel_id": "1004741"}, {"ref": "ashukr/good-fun-with-ligthgbm", "kernel_id": "1092310"}, {"ref": "ashukr/lightgbm-hyperparameter-optimisation-10june", "kernel_id": "1092318"}, {"ref": "ashukr/diving-a-bit-deeper-into-the-dataset-2", "kernel_id": "1322767"}, {"ref": "ashukr/the-model-3", "kernel_id": "1396051"}, {"ref": "eamanu/data-exploration-wip", "kernel_id": "1013889"}, {"ref": "bbhajesh/detail-eda-of-loan-payment", "kernel_id": "1192482"}, {"ref": "youhanlee/new-features-mix-binary-int-features", "kernel_id": "1196474"}, {"ref": "youhanlee/fill-null-data-using-linear-regression", "kernel_id": "1234804"}, {"ref": "youhanlee/extensive-eda-for-application-and-bureau-data", "kernel_id": "1188936"}, {"ref": "denisvodchyts/advice-needed-neural-network-vs-lightgbm", "kernel_id": "1022825"}, {"ref": "yoshikiohira/preprocesing2", "kernel_id": "1702452"}, {"ref": "shaz13/magic-of-weighted-average-rank-0-80", "kernel_id": "1322763"}, {"ref": "rtatman/lightgbm-hyperparameter-optimisation-lb-0-761", "kernel_id": "1259032"}, {"ref": "tommysteed/first-model-simple-logistic-regression", "kernel_id": "1189421"}, {"ref": "aptx4869yuyang/automated-model-tuning-will-koehresn", "kernel_id": "1358223"}, {"ref": "aptx4869yuyang/hybrid-jeepy-and-lgb-formula-supplement", "kernel_id": "1445540"}, {"ref": "rahullalu/home-credit-default-risk-preparing-bureau-data", "kernel_id": "1363506"}, {"ref": "rahullalu/home-credit-default-risk-eda", "kernel_id": "1320101"}, {"ref": "rahullalu/hcdr-feature-selection-for-creditcard-table", "kernel_id": "1529342"}, {"ref": "rahullalu/hcdr-installments-table-feature-selection", "kernel_id": "1509782"}, {"ref": "rahullalu/hcdr-feature-selection-for-pos-table", "kernel_id": "1439883"}, {"ref": "rahullalu/hcdr-single-model-private-score-0-79167-catboost", "kernel_id": "1543852"}, {"ref": "aariasag/home-credit-default-risk-lgbm-vs-regression-776", "kernel_id": "1393073"}, {"ref": "abhisheksinha28/eda-and-feature-engineering", "kernel_id": "1764027"}, {"ref": "abhisheksinha28/feature-engineering-selection-model-tuning", "kernel_id": "1779251"}, {"ref": "abhisheksinha28/manual-feature-engineering", "kernel_id": "1773387"}, {"ref": "abhisheksinha28/automated-feature-engineering-using-featuretools", "kernel_id": "1771855"}, {"ref": "anu0508/data-preparation-and-eda-beginner-level", "kernel_id": "1210379"}, {"ref": "anu0508/fork-of-logistic-regression-and-xgboost-implement", "kernel_id": "1496634"}, {"ref": "anu0508/logistic-regression-and-xgboost-implemenation", "kernel_id": "1496589"}, {"ref": "kmanojus/classification-regression-problem", "kernel_id": "1366496"}, {"ref": "anmoldhingra/automated-model-tuning", "kernel_id": "1538603"}, {"ref": "xusworld/just-for-test", "kernel_id": "1196140"}, {"ref": "dromosys/fork-of-fork-lightgbm-with-simple-features-cee847", "kernel_id": "1240725"}, {"ref": "dromosys/credit-risk-open-solution-script-v5", "kernel_id": "1316632"}, {"ref": "dromosys/open-solution-home-credit-v7", "kernel_id": "1310362"}, {"ref": "dromosys/featuretools-test", "kernel_id": "1188830"}, {"ref": "dromosys/fast-ai-pytorch-starter-corr-removed", "kernel_id": "1136206"}, {"ref": "dromosys/fast-ai-pytorch-train-only", "kernel_id": "1143658"}, {"ref": "jayachandra1221/feature-engineering-and-lgbm-classifier", "kernel_id": "1414913"}, {"ref": "sunnynevarekar/home-credit-default-xgboost", "kernel_id": "1233656"}, {"ref": "sunnynevarekar/fork-of-home-credit-default-xgboost", "kernel_id": "1248987"}, {"ref": "sunnynevarekar/home-credit-default-risk-lightgbm", "kernel_id": "1263676"}, {"ref": "eddfung/first-trial-on-naive-bayes", "kernel_id": "1030472"}, {"ref": "rohitsharma34/home2", "kernel_id": "1135214"}, {"ref": "bsivavenu/simple-data-analysis-for-beginners", "kernel_id": "1013280"}, {"ref": "lovefishnoman/home-credit-default-risk-script-2", "kernel_id": "1585748"}, {"ref": "snehithatiger/classification-using-random-search-xgboost", "kernel_id": "1526075"}, {"ref": "returnofsputnik/good-fun-with-ligthgbm", "kernel_id": "1027332"}, {"ref": "returnofsputnik/tidy-xgb-0-778", "kernel_id": "1040219"}, {"ref": "returnofsputnik/good-fun-lightgbm-in-depth", "kernel_id": "1040760"}, {"ref": "returnofsputnik/good-fun", "kernel_id": "1049653"}, {"ref": "returnofsputnik/tidy-xgb-0-777-2516ea", "kernel_id": "1023206"}, {"ref": "returnofsputnik/good-fun-opti-params-updatedjun4-prev-ratios", "kernel_id": "1084727"}, {"ref": "returnofsputnik/792-lb-lgbm-with-smile-feats", "kernel_id": "1161401"}, {"ref": "returnofsputnik/792-lb-lgbm-with-smile-feats-newer-than-365", "kernel_id": "1163671"}, {"ref": "returnofsputnik/793-new-app-feats", "kernel_id": "1164347"}, {"ref": "returnofsputnik/fork-of-fork-lightgbm-with-simple-features", "kernel_id": "1195133"}, {"ref": "returnofsputnik/bayes-opt-again", "kernel_id": "1222181"}, {"ref": "returnofsputnik/create-my-csvs-old-from-a-month-ago", "kernel_id": "1461600"}, {"ref": "returnofsputnik/create-my-csvs-full", "kernel_id": "1526722"}, {"ref": "returnofsputnik/good-transformations-to-continuous-variables", "kernel_id": "1421247"}, {"ref": "marnixk/lgbm-tuning-with-bayesian-optimization", "kernel_id": "1044273"}, {"ref": "bhetey/home-credit-default-analysis", "kernel_id": "1367213"}, {"ref": "janiobachmann/loan-classification-detecting-credit-defaults", "kernel_id": "1237801"}, {"ref": "vishnuraga/bda-bank", "kernel_id": "1424651"}, {"ref": "vinothan/prefect-eda-for-house-credit-default-risk", "kernel_id": "1406106"}, {"ref": "sunqiankun/catboost-for-0-773", "kernel_id": "1015321"}, {"ref": "danilz/merge-all-data-base-glm-vs-xgb-explained-0-763", "kernel_id": "1136973"}, {"ref": "prashantkikani/home-rf-et-xgb-cb-stack-oof1-lb-0-789", "kernel_id": "1140238"}, {"ref": "prashantkikani/home-rf-et-xgb-cb-stack-oof-lb-0-778", "kernel_id": "1007508"}, {"ref": "prashantkikani/home-rf-et-xgb-stack1-oof", "kernel_id": "1011744"}, {"ref": "atwine/handin-2-with-0-65", "kernel_id": "1382445"}, {"ref": "atwine/home-credit-default-risk-using-tpot", "kernel_id": "1446230"}, {"ref": "atwine/home-credit-default-risk-using-tpot-2", "kernel_id": "1459051"}, {"ref": "aaraneo/nn-with-convolution-over-prev-app-and-bureau", "kernel_id": "1334096"}, {"ref": "emotionevil/category-features-selection-information-value", "kernel_id": "1253303"}, {"ref": "prasya/credit-risk-analytics-eda", "kernel_id": "1440566"}, {"ref": "kvsivasankar/home-credit-default-risk-assessment", "kernel_id": "1354644"}, {"ref": "hamzaben/eda-random-forest-lightgbm-0-758", "kernel_id": "1149926"}, {"ref": "stardust0/simple-blending-788-lb", "kernel_id": "1096369"}, {"ref": "aminahmed/make-your-own-leaderboard-just-for-fun", "kernel_id": "1539004"}, {"ref": "mahsan42292/home-credit-default-risk-competition", "kernel_id": "1329603"}, {"ref": "mahsan42292/fork-of-home-credit-default-risk-competition", "kernel_id": "1334709"}, {"ref": "harunshimanto/introduction-home-credit-default-risk", "kernel_id": "1040571"}, {"ref": "hzshangh/test-code", "kernel_id": "1057122"}, {"ref": "ciciblue/preprocess-data", "kernel_id": "1055273"}, {"ref": "ciciblue/tansform", "kernel_id": "1062158"}, {"ref": "nikitsoftweb/different-basic-blends-possible", "kernel_id": "1537543"}, {"ref": "maltem/initial-eda-ongoing-input-appreciated", "kernel_id": "1226169"}, {"ref": "pradee1/patterns-of-missing-data", "kernel_id": "1405305"}, {"ref": "darkforest/simple-exploration-of-all-200-variables", "kernel_id": "1424901"}, {"ref": "sandeshak/home-credit-default-with-lgbm", "kernel_id": "1540355"}, {"ref": "ksfire/ksfire-credit-1st-kernel", "kernel_id": "1457811"}, {"ref": "itliuodong/deep-learning-in-tf-with-upsampling-lb-742", "kernel_id": "1081790"}, {"ref": "leafar/home-credit-submission", "kernel_id": "1373130"}, {"ref": "zhixing629/updated-0-792-lb-4extfeatures", "kernel_id": "1277765"}, {"ref": "holfyuen/analyzing-home-credit-default-risk", "kernel_id": "1194140"}, {"ref": "lsiahaan/home-credit-default-risk", "kernel_id": "1237830"}, {"ref": "dqborim/homecreditrisk-extensive-eda-feature-eng-pca", "kernel_id": "1265160"}, {"ref": "ryost20/a-beginner-s-try", "kernel_id": "1049392"}, {"ref": "sibmike/blender-xgb-catb-lgb", "kernel_id": "1511056"}, {"ref": "sibmike/blender-part-2-potions-101", "kernel_id": "1527614"}, {"ref": "sukhyun9673/basic-baseline-with-lgb-v3-one-hot-encoder", "kernel_id": "1085463"}, {"ref": "sukhyun9673/baselin-cleansing-and-merging-data-only-g1-yet", "kernel_id": "1068284"}, {"ref": "viaeou/main-py", "kernel_id": "1077223"}, {"ref": "viaeou/models-in-blend", "kernel_id": "1451683"}, {"ref": "xianglong/impute", "kernel_id": "1076235"}, {"ref": "xianglong/app-train-feat", "kernel_id": "1065737"}, {"ref": "xianglong/imputation", "kernel_id": "1058289"}, {"ref": "xianglong/lstm-app-bu", "kernel_id": "1092449"}, {"ref": "xianglong/only-nonan-features", "kernel_id": "1027171"}, {"ref": "krasnovna/some-usefull-tips-credit-card", "kernel_id": "1533304"}, {"ref": "shanth84/home-credit-bureau-data-feature-engineering", "kernel_id": "1037807"}, {"ref": "shanth84/credit-card-balance-feature-engineering", "kernel_id": "1043942"}, {"ref": "arielyeung/interactive-eda-with-plotly", "kernel_id": "1434272"}, {"ref": "sparshag/homecredit-eda-beginner-level", "kernel_id": "1298436"}, {"ref": "rintaromasuda/analysis-for-home-credit-default-risk", "kernel_id": "1388066"}, {"ref": "hmz0629/lgbm-0-769", "kernel_id": "1015341"}, {"ref": "kosovanolexandr/ligthgbm-0-781-home-credit-default-risk", "kernel_id": "1072962"}, {"ref": "meykds/leaderboard-progression-animation", "kernel_id": "1512727"}, {"ref": "bagasbgy/r-two-stage-stacking", "kernel_id": "1063524"}, {"ref": "henningyan/home-credit-default-risk-eda", "kernel_id": "1196353"}, {"ref": "ankitjaadoo/start-here-a-gentle-introduction-93e23b", "kernel_id": "1857008"}, {"ref": "ankitjaadoo/start-here-a-gentle-introduction", "kernel_id": "1856929"}, {"ref": "bellman82/xgboost-in-r", "kernel_id": "1267596"}, {"ref": "bellman82/exploring-application-train-data-in-r", "kernel_id": "1264678"}, {"ref": "jsaguiar/lightgbm-with-simple-features", "kernel_id": "1065107"}, {"ref": "jsaguiar/feature-analysis-using-shap-full-data", "kernel_id": "1288084"}, {"ref": "jsaguiar/previous-app-eda-and-columns-description", "kernel_id": "1445864"}, {"ref": "jsaguiar/lightgbm-7th-place-solution", "kernel_id": "1549649"}, {"ref": "bdjohnson529/exploratory-analysis", "kernel_id": "1044409"}, {"ref": "yunjianxin/home-credit-default-risk", "kernel_id": "1086804"}, {"ref": "blastchar/home-credit-default-risk-step-1", "kernel_id": "1000119"}, {"ref": "blastchar/home-credit-default-risk-step-2", "kernel_id": "1033194"}, {"ref": "kumar234/home-credit-risk-soln-78-3", "kernel_id": "1348434"}, {"ref": "naveenste92/app-data-exploration", "kernel_id": "1032673"}, {"ref": "chizhu2018/simple-bayesian-optimization-for-lightgbm", "kernel_id": "1812699"}, {"ref": "mchab18/fork-of-competition-01", "kernel_id": "1308910"}, {"ref": "sishihara/simple-lightgbm-kfold", "kernel_id": "1000314"}, {"ref": "boomberung/eda-new-feauters-lightgbm", "kernel_id": "1926174"}, {"ref": "yuzuhuang/first-kaggle", "kernel_id": "1936102"}, {"ref": "brendanhasz/home-credit-group-loan-risk-prediction", "kernel_id": "1410330"}, {"ref": "pragyanbo/case-studies-of-financial-feature-engineering", "kernel_id": "1578879"}, {"ref": "medsriha/second-attempt", "kernel_id": "1325141"}, {"ref": "mlisovyi/just-for-fun-predict-ext-source-x", "kernel_id": "1165515"}, {"ref": "mlisovyi/beware-of-categorical-features-in-lgbm", "kernel_id": "1078635"}, {"ref": "mlisovyi/modular-good-fun-with-ligthgbm", "kernel_id": "1060811"}, {"ref": "mlisovyi/15-lines-plb-0-712-ext-source-x-lgbm", "kernel_id": "1022021"}, {"ref": "mlisovyi/lightgbm-hyperparameter-optimisation-lb-0-761", "kernel_id": "1053478"}, {"ref": "mlisovyi/9-ways-to-treat-categorical-features-updated", "kernel_id": "1277897"}, {"ref": "adarshbaronia/home-credit-loan-parameters-eda", "kernel_id": "1170755"}, {"ref": "maheshmeleti350/project", "kernel_id": "1334843"}, {"ref": "maheshmeleti350/pythonic-kernal", "kernel_id": "1257236"}, {"ref": "jamesdellinger/home-credit-putting-all-the-steps-together", "kernel_id": "1555017"}, {"ref": "mmiraglio/automated-feature-engineering-lightgbm-783", "kernel_id": "1174214"}, {"ref": "turbineyang/lightgbm-version-11", "kernel_id": "1319042"}, {"ref": "turbineyang/lightgbm-version-6", "kernel_id": "1313436"}, {"ref": "turbineyang/lightgbm-version-7", "kernel_id": "1314787"}, {"ref": "turbineyang/lightgbm-version-10", "kernel_id": "1316642"}, {"ref": "turbineyang/lightgbm-version-9", "kernel_id": "1316372"}, {"ref": "turbineyang/lightgbm-version-4", "kernel_id": "1311350"}, {"ref": "turbineyang/lightgbm-version-5", "kernel_id": "1311450"}, {"ref": "turbineyang/lightgbm-version-3", "kernel_id": "1311047"}, {"ref": "turbineyang/lightgbm-version-2", "kernel_id": "1310637"}, {"ref": "oysiyl/good-fun-with-ligthgbm", "kernel_id": "1033195"}, {"ref": "boehmrya/initial-exploratory-analysis-and-benchmark-model", "kernel_id": "1505303"}, {"ref": "boehmrya/preprocessing-feature-engineering-models", "kernel_id": "1538177"}, {"ref": "chocozzz/fork-tidy-xgb-all-tables-lightgbm-0-792", "kernel_id": "1202952"}, {"ref": "chocozzz/simple-eda-for-beginners-with-r-2", "kernel_id": "1205158"}, {"ref": "chocozzz/simple-eda-for-beginners-with-r-3", "kernel_id": "1219152"}, {"ref": "chocozzz/simple-eda-for-beginners-with-r-1", "kernel_id": "1194200"}, {"ref": "mahmudkouli/predicting-home-credit-default", "kernel_id": "1351935"}, {"ref": "karanj05/home-credit", "kernel_id": "1184047"}, {"ref": "colossuss/kernel71772af361", "kernel_id": "1087612"}, {"ref": "lumaxy/adversarial-with-feature-importance", "kernel_id": "1301101"}, {"ref": "mehulgupta2016154/fraud", "kernel_id": "1164787"}, {"ref": "rackovic1994/complete-workflow-of-data-challenge", "kernel_id": "1232747"}, {"ref": "ymatioun/basic-features-from-app-simple-neural-network", "kernel_id": "1080494"}, {"ref": "shyamprasad/simple-data-analysis-for-beginners", "kernel_id": "1163712"}, {"ref": "datascienceai/home-credit-risk-test-eda-wip", "kernel_id": "1079295"}, {"ref": "datascienceai/home-credit-risk-train-eda", "kernel_id": "1079194"}, {"ref": "sz8416/eda-baseline-model-using-application", "kernel_id": "1030120"}, {"ref": "sz8416/simple-bayesian-optimization-for-lightgbm", "kernel_id": "1195753"}, {"ref": "sz8416/6-ways-for-feature-selection", "kernel_id": "1229936"}, {"ref": "zikazika/lightgbm-automated-feature-engineering-easy", "kernel_id": "1875417"}, {"ref": "mohamedssafini/simplexgbm", "kernel_id": "1357103"}, {"ref": "itssuyog96/start-here-a-gentle-introduction", "kernel_id": "1228142"}, {"ref": "cryswen/first-complementary-eda", "kernel_id": "1457460"}, {"ref": "alena0604/a-little-start-for-a-big-journey", "kernel_id": "1013173"}, {"ref": "iampotential/loan-data-private", "kernel_id": "1492324"}, {"ref": "iampotential/loan-data", "kernel_id": "1463351"}, {"ref": "iampotential/load-data-submission-attempt", "kernel_id": "1539500"}, {"ref": "ashishkumarj/analysis-home-credit-default-risk", "kernel_id": "1146333"}, {"ref": "yarkov/bayesian-optimization", "kernel_id": "1508062"}, {"ref": "luozeming/lightgbm-test-with-model-tuning", "kernel_id": "1266505"}, {"ref": "johnsmile/kernel5195a29b38", "kernel_id": "1382025"}, {"ref": "cooldba/credit-default-risk-standard-pipeline-eda", "kernel_id": "1686165"}, {"ref": "xuezha007/eda-baseline-model-using-application", "kernel_id": "1192075"}, {"ref": "lancelot31519/mlnd-v0", "kernel_id": "1883413"}, {"ref": "aantonova/collection-of-useful-functions-and-simple-baseline", "kernel_id": "1488739"}, {"ref": "aantonova/bayesian-optimization-for-blending-coefs", "kernel_id": "1447649"}, {"ref": "aantonova/797-lgbm-and-bayesian-optimization", "kernel_id": "1400789"}, {"ref": "aantonova/new-2000-features-from-ext-source-and-app-table", "kernel_id": "1137676"}, {"ref": "aantonova/preliminary-analysis-of-application-dataset", "kernel_id": "1048750"}, {"ref": "aantonova/aggregating-all-tables-in-one-dataset", "kernel_id": "1059648"}, {"ref": "tini9911/data-wrangling-eda-inferential-statistics-ml-model", "kernel_id": "1367144"}, {"ref": "tini9911/imbalance-in-data", "kernel_id": "1385180"}, {"ref": "bratin/eda-lr-rf-xgb-svm-nn-result", "kernel_id": "1522554"}, {"ref": "tiagoxdxf/capstone-project-notebook", "kernel_id": "1590137"}, {"ref": "ignaciool/previous-applications-installments-payments-eda", "kernel_id": "1532428"}, {"ref": "drribeiro/lgbmclassifier", "kernel_id": "1018232"}, {"ref": "pascalsimpkins/home-default-credit-risk-with-tidy-xgb", "kernel_id": "1003993"}, {"ref": "aphsai/home-credit-default-risk", "kernel_id": "1610034"}, {"ref": "victorceo/home-credit-kernel-victore", "kernel_id": "1322040"}, {"ref": "nisargpatel/home-credit-default-risk-lr-rf-lgbm", "kernel_id": "1889036"}, {"ref": "jvmancuso/an-ambitious-attempt-at-neural-risk-modeling", "kernel_id": "1463728"}, {"ref": "fxwderrick/introduction-to-manual-feature-engineering", "kernel_id": "1326968"}, {"ref": "wangnaiyu/home-credit-complete-eda-feature-importance", "kernel_id": "1121901"}, {"ref": "mithlesh14/home-credit-default-risk-0-7785", "kernel_id": "1483510"}, {"ref": "darryldias/data-exploration-dd3", "kernel_id": "1059161"}, {"ref": "scrappyzhang/feature-engineering-for-training-subsets", "kernel_id": "1227932"}, {"ref": "weiqijiang/eda-and-baseline-model", "kernel_id": "1106406"}, {"ref": "griffyjohn/kernel9149c7f2ad", "kernel_id": "1297956"}, {"ref": "wangweiyi/eda-practice-with-credit-data-analysis", "kernel_id": "1400632"}, {"ref": "sugarleila/first-time-exploration-of-the-data", "kernel_id": "1428635"}, {"ref": "rvinamra/comp-3-starting-with-python-for-da", "kernel_id": "1263623"}, {"ref": "rvinamra/comp-3-part-2-python-for-da", "kernel_id": "1280995"}, {"ref": "rvinamra/homecredit-automated-hyperparameter-tuning", "kernel_id": "1516372"}, {"ref": "debabratakaggle/loan-pred-with-lgbm-no-change-to-cat-cols", "kernel_id": "1132174"}, {"ref": "shikha130vv/first-kernel", "kernel_id": "1531344"}, {"ref": "poohtls/fork-of-fork-lightgbm-with-simple-features", "kernel_id": "1167200"}, {"ref": "ranjith49/home-credit-default-risk-python", "kernel_id": "1187038"}, {"ref": "specialak/start-here-a-gentle-introduction-51401f", "kernel_id": "1294248"}, {"ref": "pulkittuteja04/homecreditanalysis", "kernel_id": "1172589"}, {"ref": "nachorovi/homecreditdefaultrisk-mlnd-nachorovi", "kernel_id": "1276329"}, {"ref": "sanket30/eda-of-application-train-home-credit-default", "kernel_id": "1424082"}, {"ref": "sanket30/eda-of-installment-home-credit-default-risk", "kernel_id": "1424106"}, {"ref": "kageyama/addnewfeature-lightgbm-with-simple-features", "kernel_id": "1197903"}, {"ref": "hassanamin/homecreditgbm", "kernel_id": "1263211"}, {"ref": "dinuuu/learning-prediction", "kernel_id": "1258843"}, {"ref": "dinuuu/fork-of-fork-lightgbm-with-extra-featueres-ae149", "kernel_id": "1257508"}, {"ref": "dinuuu/ae447", "kernel_id": "1257540"}, {"ref": "malteklane/home-credit-default-risk", "kernel_id": "1426549"}, {"ref": "deamins/home-credit-default-risk1", "kernel_id": "1580079"}, {"ref": "jvallej/agregaciones-previouse-applications", "kernel_id": "1250214"}, {"ref": "tandonarpit6/competition-home-credit-default-risk", "kernel_id": "1397191"}, {"ref": "ishaan45/thank-you", "kernel_id": "1432477"}, {"ref": "frizzles7/intro-home-credit-default-risk", "kernel_id": "1457238"}, {"ref": "benjamingatti/homecreditrisk-extensive-eda-baseline-0-772", "kernel_id": "1296130"}, {"ref": "kelhougland/first-competition-home-credit", "kernel_id": "1238636"}, {"ref": "kks123/kernel8bcdaee3e4", "kernel_id": "1285126"}, {"ref": "kks123/data-cleaning-and-feature-extraction", "kernel_id": "1285149"}, {"ref": "kks123/kk-rmarkdown", "kernel_id": "1185574"}, {"ref": "kks123/kernel957df56800", "kernel_id": "1178368"}, {"ref": "vishaljhala/dataexploration", "kernel_id": "1364585"}, {"ref": "johassan/start-here-a-gentle-introduction", "kernel_id": "1206950"}, {"ref": "buntyshah/simple-home-default-credit-lb-score-0-789", "kernel_id": "1476446"}, {"ref": "rrkelley/first-kernel-homecredit", "kernel_id": "1233387"}, {"ref": "khyongkim54/intro-to-model-tuning-grid-and-random-search", "kernel_id": "1260957"}, {"ref": "xuyangwang/wxyyxw", "kernel_id": "1244626"}, {"ref": "poladbabashev/classification-3", "kernel_id": "1277784"}, {"ref": "depmountaineer/1-nearest-nbor-naive-classifier-for-home-credit", "kernel_id": "1258817"}, {"ref": "depmountaineer/prepare-bureau-data", "kernel_id": "1411710"}, {"ref": "flubber/data-cleaning-first-steps", "kernel_id": "1750193"}, {"ref": "adambi/kernel619efc4f6d", "kernel_id": "1256574"}, {"ref": "lorentztrans/final-cnt-generator", "kernel_id": "1430429"}, {"ref": "nocturnaltribe/home-credit-risk", "kernel_id": "1516673"}, {"ref": "ashishaggarwal12/home-credit-visualization-nmims", "kernel_id": "1297822"}, {"ref": "dewanganakash/soil-group-1", "kernel_id": "1297200"}, {"ref": "ruchadighe/cross-tabulation", "kernel_id": "1297910"}, {"ref": "veenawaghchoure/basic-exploration", "kernel_id": "1297316"}, {"ref": "mohitk2151/age-distribution", "kernel_id": "1297203"}, {"ref": "sacredheart/credit-card-balance-eda", "kernel_id": "1297748"}, {"ref": "surbhij/kernel3e3ea78c0b", "kernel_id": "1297119"}, {"ref": "alexzsh/kernel16dae340ff", "kernel_id": "1312866"}, {"ref": "ajyegnesh/home-credit-risk-yeg-hello", "kernel_id": "1414843"}, {"ref": "abhisha1994/kaggle-case-study", "kernel_id": "1297242"}, {"ref": "smrithigade/hc-eda", "kernel_id": "1297223"}, {"ref": "nagar500/logistic-regression-75-score", "kernel_id": "1464656"}, {"ref": "aarshshah8/kernal-for-credit", "kernel_id": "1335416"}, {"ref": "tanyatd/project-x-clustering", "kernel_id": "1593996"}, {"ref": "tanyatd/project-x-raw-exploratory-analysis", "kernel_id": "1537746"}, {"ref": "vjgupta/light-gbm-easy-peasy", "kernel_id": "1580153"}, {"ref": "lmzentner/a2-home-credit-default-risk", "kernel_id": "1457566"}, {"ref": "andreasgesundberg/rfs-on-dt-nodes-uses-only-first-train-file", "kernel_id": "1508484"}, {"ref": "anihaldaran/home-cred-default-risk", "kernel_id": "1477262"}, {"ref": "zzerozz/6-ways-for-feature-selection", "kernel_id": "1480377"}, {"ref": "yonelanuba/home-credit-default-risk-draft-by-yonela", "kernel_id": "1500259"}, {"ref": "mukesh62/home-price-prediction", "kernel_id": "1482437"}, {"ref": "abhisheksss/home-credit-riskkk", "kernel_id": "1741960"}, {"ref": "weiichen/home-credit-default-risk-competition", "kernel_id": "1997926"}, {"ref": "shashanksagarjha/home-risk-credit", "kernel_id": "1804830"}, {"ref": "rspadim/data-exploration", "kernel_id": "2119417"}, {"ref": "naresh31/home-credit-default-risk", "kernel_id": "2587235"}, {"ref": "chenmg04/learning-ds-home-credit-default-risk", "kernel_id": "2083526"}, {"ref": "magf46/simple-eda-feature-engineering", "kernel_id": "2846578"}, {"ref": "magf46/train-script", "kernel_id": "2878537"}, {"ref": "jacobhuang1991/section-two-feature-engineering", "kernel_id": "2226128"}, {"ref": "jacobhuang1991/section-one-baseline", "kernel_id": "2228235"}, {"ref": "wogus934/home-credit-default", "kernel_id": "2211162"}, {"ref": "atakansoztekin/home-credit-default-risk-analysis-and-models", "kernel_id": "2604371"}, {"ref": "santoshbothe/automated-feature-engineering-basics-228665", "kernel_id": "2522719"}, {"ref": "yifandai/yifan-s-submission-for-cs6140-final-project", "kernel_id": "2314016"}, {"ref": "zonnalobo/home-credit-default-risk-using-lightgbm", "kernel_id": "2069512"}, {"ref": "mahmoud86/home-credit-default-risk-xgboost-model", "kernel_id": "2806586"}, {"ref": "mahmoud86/generalized-linear-models", "kernel_id": "2611668"}, {"ref": "mahmoud86/credit-defaut-risk-binary-logistic-regression", "kernel_id": "2631647"}, {"ref": "nisargpatel/lightgbm-by-bayesian-optimization", "kernel_id": "2023615"}, {"ref": "lpdataninja/data-science-glossary-13-feature-selection", "kernel_id": "2590786"}, {"ref": "phamdinhkhanh/home-credit-default-risk", "kernel_id": "2901284"}, {"ref": "taeyoukim/home-credit-default-practice-via-agular-scode", "kernel_id": "2862215"}, {"ref": "flubber/data-cleaning-first-steps-prev-app-others", "kernel_id": "2443764"}, {"ref": "flubber/data-cleaning-first-steps-application-test", "kernel_id": "2098544"}, {"ref": "flubber/data-cleaning-first-steps-bureau-data", "kernel_id": "2109126"}, {"ref": "omkarpawaskar/kernel7c8856c435", "kernel_id": "2259191"}, {"ref": "sumitamaiti/merge-train-pos-1", "kernel_id": "2261237"}, {"ref": "subh970/regression-techniques", "kernel_id": "2962932"}, {"ref": "rihadv/start-here-a-gentle-introduction", "kernel_id": "2884315"}, {"ref": "akashii99/start-here-a-gentle-introduction", "kernel_id": "2899562"}, {"ref": "ibozkurt79/random-forest-k-fold-cross-validation", "kernel_id": "2657413"}, {"ref": "ssk0409/basic-eda-for-home-credit-default-risk", "kernel_id": "2731527"}, {"ref": "iblinnikov/kernel5435b04830", "kernel_id": "2407456"}, {"ref": "psinha20/exploratory-data-analysis-home-credit-default", "kernel_id": "2460951"}, {"ref": "nathounet/kernel4aebfbbc2b", "kernel_id": "2042531"}, {"ref": "jillchang/section-3-feature-selection", "kernel_id": "2237553"}, {"ref": "achyutb6/kerneldd93cdce5a", "kernel_id": "2239779"}, {"ref": "savvadia/reduce-memory-usage-any-column-type-nice-traces", "kernel_id": "2604367"}, {"ref": "aman9d/classification", "kernel_id": "2493047"}, {"ref": "vikitripathi/introduction-to-manual-feature-engineering-p2", "kernel_id": "2373173"}, {"ref": "vikitripathi/introduction-to-manual-feature-engineering-419a88", "kernel_id": "2371785"}, {"ref": "vikitripathi/feature-selection", "kernel_id": "2371792"}, {"ref": "vikitripathi/home-credit-default-risk", "kernel_id": "2345702"}, {"ref": "tripathisachin/start-here-a-gentle-introduction", "kernel_id": "2396547"}, {"ref": "ashu28/home-credit", "kernel_id": "2747501"}, {"ref": "sclczk/a-gentle-introduction", "kernel_id": "3878139"}, {"ref": "sclczk/introduction-to-manual-feature-engineering", "kernel_id": "3894213"}, {"ref": "aarsht/neural-network-with-each-file-as-separate-node", "kernel_id": "3555654"}, {"ref": "njalan/home-credit-default-risk-improved", "kernel_id": "3360411"}, {"ref": "njalan/home-credit-default-risk-beginner", "kernel_id": "3336259"}, {"ref": "zhuicanggaoju/bnu-dataming", "kernel_id": "3777090"}, {"ref": "zhuicanggaoju/bnu-dataming-2019", "kernel_id": "3788366"}, {"ref": "currypurin/simple-lightgbm", "kernel_id": "3087840"}, {"ref": "juntaek118/home-credit", "kernel_id": "3211865"}, {"ref": "sai677/start-here-a-gentle-introduction-8ced9d", "kernel_id": "3721661"}, {"ref": "ivy1219/eda-beginner-friendly-tutorial", "kernel_id": "3790684"}, {"ref": "dashnabanita/start-here-a-gentle-introduction-774d18", "kernel_id": "3962108"}, {"ref": "roydatascience/home-credit-default-risk-light-gbm", "kernel_id": "3240469"}, {"ref": "anil777/stacking-xgboost-lightgbm-catboost-practice", "kernel_id": "3539859"}, {"ref": "windofdl/kernelf68f763785", "kernel_id": "3337146"}, {"ref": "shivareddyk/home-credit-lig1", "kernel_id": "3345058"}, {"ref": "yoiqrambadian/data-mining-final-project", "kernel_id": "3678409"}, {"ref": "ishavats21/home-credit-risk-default-2", "kernel_id": "3119838"}, {"ref": "harshies/final-data-preprocessing-harsh-v2-8th-jone", "kernel_id": "3948506"}, {"ref": "harshies/sk-id-added-train-test", "kernel_id": "3957835"}, {"ref": "hushuting/kernelb938087119", "kernel_id": "3131524"}, {"ref": "pyy0715/start-here-a-gentle-introduction-with-r", "kernel_id": "3972605"}, {"ref": "cw01111/start-here-a-gentle-introduction", "kernel_id": "3716032"}, {"ref": "sahil94/home-credit", "kernel_id": "3711376"}, {"ref": "harishreddy18/home-credit-default-risk", "kernel_id": "3927803"}, {"ref": "inspiredshark/teamts-kernel", "kernel_id": "3607310"}, {"ref": "patrickpding/start-here-a-gentle-introduction", "kernel_id": "3349345"}, {"ref": "jirakst/homecredit-an-approach", "kernel_id": "3635661"}, {"ref": "catrywong/home-credit", "kernel_id": "3923376"}, {"ref": "akumaldo/simple-eda-and-lgb-model", "kernel_id": "3609609"}, {"ref": "aftertodayyy/name-education-type", "kernel_id": "3817083"}, {"ref": "aftertodayyy/kernelb0d6ba34ec", "kernel_id": "3534298"}, {"ref": "aftertodayyy/home-credit-analyze", "kernel_id": "3959779"}, {"ref": "setseedhaha/begining", "kernel_id": "3666123"}, {"ref": "obrunet/home-credit-default-risk", "kernel_id": "3847003"}, {"ref": "linglingsun07/home-credit-default", "kernel_id": "3803916"}, {"ref": "firmanbrilian/kernel768550ead4", "kernel_id": "3910325"}, {"ref": "seungwanryu/2019-06-05", "kernel_id": "4154164"}, {"ref": "sxuanjing/kernel7235544b3c", "kernel_id": "4013712"}, {"ref": "miracle0/home-credit-default-risk", "kernel_id": "4870466"}, {"ref": "milanhavir/hc-default-risk-application-data-0-70", "kernel_id": "4125994"}, {"ref": "tmunyanyi22/tweaking-home-credit", "kernel_id": "4516496"}, {"ref": "tmunyanyi22/creating-features-using-historical-bank-data-hc", "kernel_id": "4685701"}, {"ref": "tmunyanyi22/creating-features-using-bureau-data-hc", "kernel_id": "4685040"}, {"ref": "pyy0715/bureau-data-feature-engineering", "kernel_id": "4145397"}, {"ref": "davidmillet/bayesian-opt-lgbmclassifier", "kernel_id": "4160759"}, {"ref": "maria591/lightgbm", "kernel_id": "4461974"}, {"ref": "maria591/logistic-regression", "kernel_id": "4530737"}, {"ref": "maria591/log-reg-lda", "kernel_id": "4565567"}, {"ref": "vaskanman/kernelfadb0573fe", "kernel_id": "4036420"}, {"ref": "datajang/home-credit", "kernel_id": "4470457"}, {"ref": "indrajitswain/indrajit-eda", "kernel_id": "5728119"}, {"ref": "steve7an/start-here-a-gentle-introduction", "kernel_id": "5811172"}, {"ref": "mehul8055/home-credit", "kernel_id": "5715659"}, {"ref": "mehul8055/home-credit-default-risk", "kernel_id": "5618367"}, {"ref": "mehul8055/home-credit-default-risk-beginner", "kernel_id": "5480506"}, {"ref": "mobasshir/home-credit-0", "kernel_id": "5872039"}, {"ref": "rizyayemima/homecredit", "kernel_id": "5714894"}, {"ref": "sega174/kernelfd501c3dbb", "kernel_id": "5100308"}, {"ref": "sishihara/upura-kaggle-tutorial-08-merge-tables", "kernel_id": "5523993"}, {"ref": "saths075/lgbm-bureau-only-data", "kernel_id": "5875463"}, {"ref": "saths075/preprocessed-data-with-apptraintest-bureau-bb", "kernel_id": "5877354"}, {"ref": "zhuyongsheng/homecredit-auc190927", "kernel_id": "5966704"}, {"ref": "jasonhw96/home-credit-basic-eda", "kernel_id": "5824775"}, {"ref": "fujiccofujimoto/simple-lightgbm", "kernel_id": "5780687"}, {"ref": "sanholee/home-credit-feature-engineering-01-kor", "kernel_id": "5850705"}, {"ref": "sanholee/home-credit-kor-ver", "kernel_id": "5652967"}, {"ref": "taozhongxiao/begining-with-lightgbm-in-detail", "kernel_id": "5255496"}, {"ref": "neha1verma/home-credit-default-risk-decision-tree", "kernel_id": "5815379"}, {"ref": "neha1verma/home-credit-default-risk-decision-tree-2", "kernel_id": "5822810"}, {"ref": "graaho/home-credit-eda", "kernel_id": "5915419"}, {"ref": "wakamezake/good-fun-with-lightgbmtuner", "kernel_id": "6789004"}, {"ref": "mobasshir/automatic-data-preprocessing-fe", "kernel_id": "6791022"}, {"ref": "abdulahmedov/home-credit", "kernel_id": "6413735"}, {"ref": "guruprasad91/zia-2019", "kernel_id": "6728086"}, {"ref": "tomohirofukui/version-1", "kernel_id": "6773581"}, {"ref": "tomohirofukui/target-variables", "kernel_id": "6917243"}, {"ref": "dougtrajano/home-credit-default-risk", "kernel_id": "6021269"}, {"ref": "manish1984/start-here-a-gentle-introduction", "kernel_id": "6201555"}, {"ref": "manish1984/introduction-to-manual-feature-engineering", "kernel_id": "6201642"}, {"ref": "manish1984/introduction-to-manual-feature-engineering-p2", "kernel_id": "6480312"}, {"ref": "manish1984/automated-feature-engineering-basics", "kernel_id": "6480332"}, {"ref": "manish1984/intro-to-model-tuning-grid-and-random-search", "kernel_id": "6536532"}, {"ref": "matthieu64/home-credit-default-risk-lda-et-random-forest", "kernel_id": "6167625"}, {"ref": "akshaypaliwal709/home-credit-default", "kernel_id": "6394458"}, {"ref": "adarsh18213/start-here-a-gentle-introduction", "kernel_id": "6956250"}, {"ref": "pendras/lgbm-with-bayesian-optimization", "kernel_id": "6017848"}, {"ref": "pendras/simple-features", "kernel_id": "6014073"}, {"ref": "dskagglemt/home-credit-default-risk-competition-v1", "kernel_id": "6991633"}, {"ref": "armando9/fork-of-simple-features-0064d3", "kernel_id": "6039066"}, {"ref": "igorkf/random-forest-r", "kernel_id": "6124957"}, {"ref": "jesseo/level-3-home-credit-a-gentle-introduction", "kernel_id": "6839813"}, {"ref": "jesseo/level-3-home-credit-manual-feature-engineering", "kernel_id": "6846762"}, {"ref": "kenmatsu4/home-credit-eda-001", "kernel_id": "7728811"}, {"ref": "karamiko/data-visualization-titanic", "kernel_id": "7849994"}, {"ref": "karamiko/fds-kaggle-project-new", "kernel_id": "7865155"}, {"ref": "sishihara/python-kaggle-start-book-ch03-01", "kernel_id": "7718674"}, {"ref": "bwahns/home-credit-default-risk-eric1", "kernel_id": "7051843"}, {"ref": "ahmedelsaied3210/start-here-a-gentle-introduction", "kernel_id": "7234495"}, {"ref": "vaibhavsxn/ensembling-the-ensemblers-pt2", "kernel_id": "7558043"}, {"ref": "vaibhavsxn/ensembling-the-ensemblers", "kernel_id": "7556053"}, {"ref": "vaibhavsxn/analysis-on-a-domain-level", "kernel_id": "7518782"}, {"ref": "lukeswalks/home-credit-default-risk-v1", "kernel_id": "7580410"}, {"ref": "aditisingh2362/explanatory-data-analysis", "kernel_id": "7672214"}, {"ref": "soheilsoroush/home-credit-default-risk-eda-and-ml", "kernel_id": "7612873"}, {"ref": "dmitryleshchinskiy/home-credit-classification-logistic-regression", "kernel_id": "7796254"}, {"ref": "jeremyjhee/eda-basic-fe-and-lgb", "kernel_id": "7415389"}, {"ref": "jleonardt/start-here-a-gentle-introduction", "kernel_id": "7524911"}, {"ref": "ganeshn88/home-credit-model", "kernel_id": "8357605"}, {"ref": "malekzadeh/a-simple-distributed-learning-scenario", "kernel_id": "8856471"}, {"ref": "affanamin/lightgbm-with-eda-and-featureengineering", "kernel_id": "8112652"}, {"ref": "ranita91/27-mar", "kernel_id": "8606768"}, {"ref": "ayakhaled2/home-credit-default-risk", "kernel_id": "8838350"}, {"ref": "marloz/categorical-preprocessing-techniques", "kernel_id": "8265847"}, {"ref": "egutierrezc93/start-here-a-gentle-introduction", "kernel_id": "8710333"}, {"ref": "khangtran97/kernel2317725413", "kernel_id": "8767900"}, {"ref": "duynm619/home-credit-default-risk", "kernel_id": "8700188"}, {"ref": "nguyenvlm/home-credit-default-risk", "kernel_id": "8740407"}, {"ref": "reukki/home-credit-study", "kernel_id": "8350741"}, {"ref": "shailaja4247/tackle-any-credit-risk-analysis-problem-homecredit", "kernel_id": "8559323"}, {"ref": "kisoibo/credit-default-risk", "kernel_id": "8010101"}, {"ref": "ryohanoi/fork-of-kernel-20200311", "kernel_id": "8344996"}, {"ref": "nozomuk/home-credit-complete-eda", "kernel_id": "8198388"}, {"ref": "nhutlong2019/ron-blizzard-ml-adventure-1-home-credit-risk", "kernel_id": "8801436"}, {"ref": "pavel1988/homecreditfaultrisk", "kernel_id": "8113509"}, {"ref": "bryanteh/modelling-logreg-creditdefaults", "kernel_id": "8700880"}, {"ref": "yusukematsuda/home-creadit-defaut-risk", "kernel_id": "8761521"}, {"ref": "baekyujin/introduction-home-credit-default-risk-competition", "kernel_id": "8402017"}, {"ref": "darwinwin/stacking-test-sklearn-xgboost-catboost-lightgbm", "kernel_id": "8190844"}, {"ref": "ftmozc/home-credit-data", "kernel_id": "8667135"}, {"ref": "ozaninal/installments-payments-summarize-with-sql", "kernel_id": "8871169"}, {"ref": "mayn35/lightgbm-with-simple-features-new-work", "kernel_id": "8910309"}, {"ref": "sadullahkarapiak/kernel2237648d39", "kernel_id": "8905130"}, {"ref": "shinbg/home-credit-default-risk", "kernel_id": "8646990"}, {"ref": "nicolasmarin/oc-ia-p4-part-2", "kernel_id": "8949798"}, {"ref": "lakshaykapoor/home-credit", "kernel_id": "8563619"}, {"ref": "datnt1999/baitapvenhakaggle", "kernel_id": "8987211"}, {"ref": "kuberiitb/6-ways-for-feature-selection-for-classification", "kernel_id": "9407307"}, {"ref": "onurcopur/defaultrisk-dreamteam", "kernel_id": "9993358"}, {"ref": "marloz/featuretools-exploration", "kernel_id": "9862973"}, {"ref": "magnumhell/making-predictions-with-xai", "kernel_id": "9802184"}, {"ref": "mahirahmzh/start-here-a-gentle-introduction", "kernel_id": "9562316"}, {"ref": "charlievbc/home-credit-default-risk-visualization-analysis", "kernel_id": "9544016"}, {"ref": "dretheone/default-prediction-with-xgboost-and-base-features", "kernel_id": "9587792"}, {"ref": "kwnjh3424/start-here-a-gentle-introduction", "kernel_id": "9304074"}, {"ref": "mathchi/home-credit-risk-with-detailed-feature-engineering", "kernel_id": "9067638"}, {"ref": "meraxes10/lgbm-credit-default-prediction", "kernel_id": "9356808"}, {"ref": "luukimkhoinguyen/titanic", "kernel_id": "9821166"}, {"ref": "ismailkaya83/home-credit-lgbm", "kernel_id": "9256073"}, {"ref": "dungchi/naive-approach-with-auc-0-74081", "kernel_id": "9024822"}, {"ref": "homydata/accurate-estimation-of-home-credit-default-risk-by", "kernel_id": "9074203"}, {"ref": "ozaninal/home-credit-defoult-risk-last-version", "kernel_id": "9058317"}, {"ref": "rifatkayabasi/home-credit-default-risk", "kernel_id": "9067633"}, {"ref": "mitceylan/homecreditfunctioned", "kernel_id": "9086223"}, {"ref": "gokhanguder/home-credit-default-risk-lgbm-modeling", "kernel_id": "9253406"}, {"ref": "berkanacar/lightgbm-simple-features-with-2-extra-features", "kernel_id": "9032038"}, {"ref": "berkanacar/home-credit-default-risk-production-level", "kernel_id": "9058158"}, {"ref": "haluk75/home-credit1", "kernel_id": "9114178"}, {"ref": "wanakon/kernel24647bb75c", "kernel_id": "9345154"}, {"ref": "wanakon/home-credit-risk-eda", "kernel_id": "9191335"}, {"ref": "wanakon/hcr-xgb", "kernel_id": "9279673"}, {"ref": "wanakon/xgb-hcdr", "kernel_id": "9868121"}, {"ref": "davidrivasphd/eda-classification-credit-default", "kernel_id": "9759669"}, {"ref": "davidrivasphd/feature-engineering-i-credit-default", "kernel_id": "9846234"}, {"ref": "davidrivasphd/feature-engineering-ii-functions-credit-default", "kernel_id": "9963438"}, {"ref": "davidrivasphd/automated-feature-engineering-credit-default", "kernel_id": "9996250"}, {"ref": "sadullahkarapiak/lightgbm-with-simple-features", "kernel_id": "9032025"}, {"ref": "hlldmr/homecreditfunctions", "kernel_id": "9068361"}, {"ref": "emraheldemir/lightgbm-with-simple-features", "kernel_id": "9032145"}, {"ref": "aghandemir/home-credit-with-functions", "kernel_id": "9068153"}, {"ref": "shinbg/home-credit-default-risk-catboost", "kernel_id": "9274032"}, {"ref": "oriroval/naya-classification-project-4-ori-and-ori", "kernel_id": "9084918"}, {"ref": "datnt1999/homeworkhomecredit", "kernel_id": "9054485"}, {"ref": "erkekasenova/home-credit-default-risk", "kernel_id": "9689551"}, {"ref": "hongha/home-credit-default-risk", "kernel_id": "9864198"}, {"ref": "yodaitanaka/home-credit-difficult", "kernel_id": "9972082"}, {"ref": "tiaradwptr/data-wrangling-and-cleansing", "kernel_id": "10790530"}, {"ref": "salmaeng/credit-risk-park-3", "kernel_id": "10803193"}, {"ref": "salmaeng/credit-risk-part-1", "kernel_id": "10672225"}, {"ref": "salmaeng/credit-risk-part-2", "kernel_id": "10709612"}, {"ref": "gaddar/start-here-a-gentle-introduction", "kernel_id": "10991951"}, {"ref": "biditdas/home-credit-default-risk-ml", "kernel_id": "10826282"}, {"ref": "iamhungundji/predict-home-credit", "kernel_id": "10545072"}, {"ref": "chungbahoa123/kernel16e0cc8c44", "kernel_id": "10079083"}, {"ref": "shadiandisheh/project-of-datascience-homecreditdefaultrisk", "kernel_id": "10259780"}, {"ref": "volodymyrholomb/xgbmodel-on-base-features", "kernel_id": "10280864"}, {"ref": "ananysharma/exploring-dimensionality-reduction-techniques", "kernel_id": "10979180"}, {"ref": "adnanavsar/homecredit", "kernel_id": "10078983"}, {"ref": "makaya/homecredit-pr", "kernel_id": "10086815"}, {"ref": "farukoz/home-credit-default-risk-project", "kernel_id": "10314027"}, {"ref": "davidrivasphd/advanced-auto-feature-engineering-credit-default", "kernel_id": "10027226"}, {"ref": "davidrivasphd/feature-selection-credit-default", "kernel_id": "10081962"}, {"ref": "davidrivasphd/model-tuning-grid-random-search-credit-default", "kernel_id": "10144161"}, {"ref": "brooksrattigan/home-credit-default-risk-eda", "kernel_id": "10878582"}, {"ref": "karslio/home-credit", "kernel_id": "10886293"}, {"ref": "mstfshn/bureau", "kernel_id": "10830592"}, {"ref": "ozericyer/homecreditdefaultrisk-test-train-eda-1", "kernel_id": "10812445"}, {"ref": "takamotoki/dic-assignment-eda-for-practice", "kernel_id": "10899208"}, {"ref": "shiarureusacys/kernel44657ffc24", "kernel_id": "10048183"}, {"ref": "guanzelong/lgbm-iter", "kernel_id": "10965752"}, {"ref": "guanzelong/preload-data", "kernel_id": "10966281"}, {"ref": "harupy/lightgbm-model-explained-by-shap", "kernel_id": "11623631"}, {"ref": "emresirma/home-credit-default-risk-project-with-lightgbm", "kernel_id": "11858046"}, {"ref": "muhammetcakmak/get-previous-applications", "kernel_id": "11743791"}, {"ref": "fanggexiong/kaggle-home-credit", "kernel_id": "11976648"}, {"ref": "nuka137/perfomance-cuml-vs-scikit-learn", "kernel_id": "11715935"}, {"ref": "ibrahimyildiz/home-credit-with-lgbm", "kernel_id": "11347513"}, {"ref": "saltukbugrakaracan/homecreditcalisma", "kernel_id": "11507420"}, {"ref": "saltukbugrakaracan/installment", "kernel_id": "11735452"}, {"ref": "harisalikhan/home-credit-default-risk", "kernel_id": "11081692"}, {"ref": "dmkravtsov/2-0-home-credit-xgboost", "kernel_id": "11179058"}, {"ref": "brooksrattigan/home-credit-default-risk-lgbm-solution", "kernel_id": "11317325"}, {"ref": "karslio/ozerabi", "kernel_id": "11207234"}, {"ref": "ozericyer/homecreditdefaultrisk-ml-lightgbm", "kernel_id": "11519993"}, {"ref": "ozericyer/homecreditdefaultrisk-eda-2", "kernel_id": "11214902"}, {"ref": "ozericyer/homecreditdefaultrisk-bureau-b-balance-eda-3", "kernel_id": "11185142"}, {"ref": "nitinyadav17/probability-of-default-models", "kernel_id": "11597978"}, {"ref": "sadnyx/home-credit-final", "kernel_id": "11796667"}, {"ref": "sadnyx/installment-payment", "kernel_id": "11716348"}, {"ref": "sadkozturk/get-previous-applications", "kernel_id": "11674561"}, {"ref": "ahalimzdemir/home-credit-risk-project", "kernel_id": "11602469"}, {"ref": "alankaruniyal/03-09-a252", "kernel_id": "11514573"}, {"ref": "cxyskaggle/home-credit-complete-eda-feature-importance", "kernel_id": "11033452"}, {"ref": "elizabethchatyrko/start-here-a-gentle-introduction", "kernel_id": "11399909"}, {"ref": "caohuanqiu/home-credit-eda-and-simple-model", "kernel_id": "12199450"}, {"ref": "tahaum/quick-lgbm", "kernel_id": "12038483"}, {"ref": "gaurav9712/eda-basic-fe-and-lgb", "kernel_id": "12678628"}, {"ref": "mali01/credit-score-2-0", "kernel_id": "12979250"}, {"ref": "ngainoriko/home-credit-bureau-feature-engineering", "kernel_id": "12934826"}, {"ref": "ngainoriko/home-credit-feature-selection-app-bur", "kernel_id": "12968011"}, {"ref": "anthonymanet/my-try", "kernel_id": "12168843"}, {"ref": "muhammadhanif08/home-credit", "kernel_id": "12966783"}, {"ref": "alexeycherenov/notebook301aaf910e", "kernel_id": "12023654"}, {"ref": "edwardyiliu/from-data-to-features-and-classification", "kernel_id": "12146309"}, {"ref": "flaviomaia77/machine-learning-project", "kernel_id": "13489253"}, {"ref": "jskonst/notebook33baea2e2a", "kernel_id": "13361258"}, {"ref": "aisavinov/exploratory-data-analysis-gbm-model", "kernel_id": "13377368"}, {"ref": "monal007/lightgbm-with-simple-features-home-credit-default", "kernel_id": "13086094"}, {"ref": "mehmettt123/previous-application", "kernel_id": "13527951"}, {"ref": "mehmettt123/lightgbm-with-simple-features", "kernel_id": "13301540"}, {"ref": "saltukbugrakaracan/homecreditfeatureeng", "kernel_id": "13358061"}, {"ref": "saltukbugrakaracan/prevappscript", "kernel_id": "13466779"}, {"ref": "saltukbugrakaracan/home-credit-per-app", "kernel_id": "13492731"}, {"ref": "kemalzdemir/home-credit-risk-kemal-v8", "kernel_id": "13328320"}, {"ref": "kemalzdemir/home-credit-per-app", "kernel_id": "13659741"}, {"ref": "kemalzdemir/prevappscript", "kernel_id": "13486091"}, {"ref": "robimalco/home-credit-default-risk-pytorch-neural-network", "kernel_id": "13774249"}, {"ref": "yakupkaplan/home-credit-default-risk-prediction-model", "kernel_id": "13536715"}, {"ref": "nicolasbourriez/home-credit-deep-learning-for-beginners", "kernel_id": "13463123"}, {"ref": "na4797/complete-eda-feature-understanding", "kernel_id": "13216993"}, {"ref": "kazukitakeuchibp/homecreditrisk-kaggle-pjt", "kernel_id": "13504766"}, {"ref": "awc041081123/home-credit-bureau-feature-engineering", "kernel_id": "13121531"}, {"ref": "idrisguclu/home-credit-risk-previous-application", "kernel_id": "13515721"}, {"ref": "idrisguclu/home-credit-risk-pos-cash-balance", "kernel_id": "13516157"}, {"ref": "idrisguclu/home-credit-risk-previous-applications-1", "kernel_id": "13516366"}, {"ref": "seyabdrawde/4-baseline-model-credit-score", "kernel_id": "13348721"}, {"ref": "seyabdrawde/0-pre-processing", "kernel_id": "13347328"}, {"ref": "seyabdrawde/random-forest", "kernel_id": "13421470"}, {"ref": "ylmazahmet/home-credit-pos-cash-balance", "kernel_id": "13277569"}, {"ref": "ylmazahmet/home-credit-risk", "kernel_id": "13202340"}, {"ref": "ylmazahmet/home-credit-per-app", "kernel_id": "13489071"}, {"ref": "whtngus4759/eda-and-feature-engineering-for-beginner", "kernel_id": "14427556"}, {"ref": "omarayman/eda-predictive-modelling", "kernel_id": "14359097"}, {"ref": "likshvi/home-credit-default-risk", "kernel_id": "14641722"}, {"ref": "prasun2106/credit-risk-modelling", "kernel_id": "14595894"}, {"ref": "aditya800/loan-approval-prediction", "kernel_id": "14062040"}, {"ref": "sameerpandey/feature-selection", "kernel_id": "14127628"}, {"ref": "profammons/eda-feature-engineering-and-supervised-ml", "kernel_id": "14377797"}, {"ref": "wfannew/fan-home-credit-default-risk", "kernel_id": "14675431"}, {"ref": "gauthamperiyasamy/aif-healthcare", "kernel_id": "14713004"}, {"ref": "msilva1/creditriskpipeline", "kernel_id": "15795403"}, {"ref": "venkatesh123456/my-first-kaggle-notebook", "kernel_id": "15614605"}, {"ref": "mohamedmosad/towards-fair-and-automated-credit-scoring", "kernel_id": "15056818"}, {"ref": "elichen/home-credit-default-xgboost", "kernel_id": "15874080"}, {"ref": "kwanghoum/home-credit", "kernel_id": "15606350"}, {"ref": "swanawoo/homecreditdefault", "kernel_id": "15507034"}, {"ref": "thanhnguyen2612/diveintocode-eda-ml-week3", "kernel_id": "15972977"}, {"ref": "irfanakgul/home-credit-risk-project", "kernel_id": "15798803"}, {"ref": "rishabhrao/home-credit-default-risk-extensive-eda", "kernel_id": "15422583"}, {"ref": "atilaysamiloglu/lightgbm-with-simple-features", "kernel_id": "15957751"}, {"ref": "duydnn/credit-default-predict-lightgbm-model-explain-r", "kernel_id": "15143722"}, {"ref": "toshihirosawao/notebook2869dd27c1", "kernel_id": "15186070"}, {"ref": "kyuhwanjung2/homecredit-draft-shap-applied", "kernel_id": "15605254"}, {"ref": "chienhsianghung/home-credit-default-risk-lgbm-w-domain-fts", "kernel_id": "15479602"}, {"ref": "chienhsianghung/hpa-eff-b7-train-all-4-channels", "kernel_id": "15955987"}, {"ref": "chienhsianghung/explore-user-activity-log", "kernel_id": "15955988"}, {"ref": "wfannew/fan-hcd-submission", "kernel_id": "15795370"}, {"ref": "dawool1218/home-credit-210527-ml-p", "kernel_id": "15856661"}, {"ref": "kenjishioya/home-credit-default-risk", "kernel_id": "15800062"}, {"ref": "waithiramacharia/home-credit-default-risk", "kernel_id": "15899403"}, {"ref": "ostappanchak/labml2", "kernel_id": "15014219"}, {"ref": "dariyakharytonova/notebook721481d097", "kernel_id": "15651161"}, {"ref": "henshinger/quick-eda", "kernel_id": "16834282"}, {"ref": "msilva1/creditrisk-dropping-features", "kernel_id": "16596524"}, {"ref": "msilva1/creditrisk", "kernel_id": "16074427"}, {"ref": "sakibsadmanshajib/home-credit-loan", "kernel_id": "16847556"}, {"ref": "raphaelpguimaraes/creditrisk-essemble", "kernel_id": "16358421"}, {"ref": "raphaelpguimaraes/creditrisk-otherdata", "kernel_id": "16275694"}, {"ref": "raphaelpguimaraes/creditrisk-dropping-features", "kernel_id": "16275699"}, {"ref": "raphaelpguimaraes/creditrisk", "kernel_id": "16028801"}, {"ref": "raphaelpguimaraes/creditrisk-data-explorer", "kernel_id": "16179206"}, {"ref": "akdagmelih/home-credit-default-dsmlbc4-gr2", "kernel_id": "16273526"}, {"ref": "dungdore1312/dic-as-13", "kernel_id": "16244018"}, {"ref": "thanhnguyen2612/ml-dive-week4", "kernel_id": "16287617"}, {"ref": "thanhnguyen2612/ml-sprint1", "kernel_id": "16666482"}, {"ref": "sakmany/home-credit-bureau", "kernel_id": "16253557"}, {"ref": "saltukbugrakaracan/bb-referencenotebook", "kernel_id": "16113945"}, {"ref": "saltukbugrakaracan/home-credit-bureau", "kernel_id": "16266622"}, {"ref": "mertbozkr/1-week-challenge", "kernel_id": "16096906"}, {"ref": "hikmetsezen/blend-boosting-for-home-credit-default-risk", "kernel_id": "16374355"}, {"ref": "hikmetsezen/base-model-with-0-804-auc-on-home-credit", "kernel_id": "16720939"}, {"ref": "hikmetsezen/micro-model-174-features-0-8-auc-on-home-credit", "kernel_id": "16553220"}, {"ref": "elvanselvano/elvan-selvano-ujian-modul-2", "kernel_id": "16666798"}, {"ref": "anlgvrk/home-credit-previous-app-eda-feature-engineering", "kernel_id": "16263925"}, {"ref": "anlgvrk/home-credit-xgboost-dsmlbc4-gr2", "kernel_id": "16302981"}, {"ref": "anlgvrk/home-credit-previous-app-feature-eng", "kernel_id": "16221338"}, {"ref": "ltrunghiu/home-credit-default-risk", "kernel_id": "16113299"}, {"ref": "sevvalmehder/home-credit-default-risk-case-study", "kernel_id": "16953690"}, {"ref": "mogu4iy/home-credit-default-risk", "kernel_id": "16366342"}, {"ref": "stanislavskitsiuk/lab2-glhf", "kernel_id": "16487134"}, {"ref": "romankopylash/ml-lab", "kernel_id": "16553963"}, {"ref": "valeriiazheleznova/ml-lab2", "kernel_id": "16560030"}, {"ref": "egorderiugin/lab-2", "kernel_id": "16636029"}, {"ref": "ilyakozachenko/lab2kpi", "kernel_id": "16064330"}, {"ref": "maxymhaponiuk/ml-lab2", "kernel_id": "16540407"}, {"ref": "ekrembayar/homecredit-default-risk-step-by-step-1st-notebook", "kernel_id": "17162689"}, {"ref": "ekrembayar/homecredit-default-risk-step-by-step-2nd-notebook", "kernel_id": "17318874"}, {"ref": "sakibsadmanshajib/cse445", "kernel_id": "17075187"}, {"ref": "haramlee/bigdata-project-eda-fe-haram-lee", "kernel_id": "17910828"}, {"ref": "araul3927/home-credit-risk-fe-to-predictivemodel", "kernel_id": "17954630"}, {"ref": "araul3927/home-credit-risk-eda", "kernel_id": "17808892"}, {"ref": "smarthan/bigdata-project-eda-fe-hr", "kernel_id": "17896962"}, {"ref": "smwumy/bigdata-project-eda-fe-my", "kernel_id": "17721900"}, {"ref": "yusufcanaraz/lightgbm-hyperparameter-optimisation-lb-0-761", "kernel_id": "17246074"}, {"ref": "shunday/shunday", "kernel_id": "17815888"}, {"ref": "shunday/bigdata-project", "kernel_id": "17723143"}, {"ref": "yshiml/homecredit-lgb-xgb-logreg", "kernel_id": "17536712"}, {"ref": "yshiml/homecredit-xgb", "kernel_id": "17393465"}, {"ref": "yshiml/homecredit-lgb", "kernel_id": "17096357"}, {"ref": "hustleji/bigdata-project-eda-fe-leejihyefinal", "kernel_id": "17881373"}, {"ref": "lydcho/bigdata-project-eda-fe-lyd-cho", "kernel_id": "17899174"}, {"ref": "eunjipark0120/bigdata-project-eda-fe-eunji", "kernel_id": "17892351"}, {"ref": "qbxkvbf/bigdata-project-eda-fe-qbxkvbf5", "kernel_id": "17915277"}, {"ref": "qbxkvbf/bigdata-project-eda-fe-qbxkvbf1", "kernel_id": "17914873"}, {"ref": "nangle/bigdata-project-eda-fe-18-cs-naeun", "kernel_id": "17911166"}, {"ref": "ryoopatrick/deathnote-gg-get-feature-importance", "kernel_id": "17214834"}, {"ref": "hellozo0/bigdata-project-eda-fe-1911169", "kernel_id": "17778749"}, {"ref": "pial99/home-loan-random-forest", "kernel_id": "17152465"}, {"ref": "dyeonpark/bigdata-project-eda-fe-dong-yeon-park", "kernel_id": "17844287"}, {"ref": "je2760sul/bigdata-project-eda-fe-je2760sul", "kernel_id": "17440214"}, {"ref": "yeeunkang99/bigdata-project-eda-fe-ye-eun-kang", "kernel_id": "17901445"}, {"ref": "shyeon43/bigdata-project-eda-fe-shyeon43", "kernel_id": "17823684"}, {"ref": "ssunny5/bigdata-project-eda-jisun", "kernel_id": "17889262"}, {"ref": "jinyoung1212/bigdata-project-eda-fe", "kernel_id": "17911701"}, {"ref": "jinyoung1212/bigdata-project-eda-fe-jinyoung1212", "kernel_id": "17375162"}, {"ref": "jinyoung1212/lanarose-v3", "kernel_id": "17443437"}, {"ref": "maryrose1003/bigdata-project-eda-fe-jeongyoon", "kernel_id": "17915541"}, {"ref": "jungman2/bigdata-project-eda-fe-jungman2", "kernel_id": "17910579"}, {"ref": "cherifisimbiaimable/machinelearningflow", "kernel_id": "17873759"}, {"ref": "cjiwon/bigdata-project-eda-fe-otgo", "kernel_id": "17890781"}, {"ref": "kimyijun/bigdata-project-eda-fe", "kernel_id": "17544955"}, {"ref": "yugyeonghyeon/bigdata-project-eda-fe-yugyeonghyeon", "kernel_id": "17909828"}, {"ref": "island1207/bigdata-project-eda-fe", "kernel_id": "17905210"}, {"ref": "choiyunna/bigdata-project-eda-fe-choi-yunna", "kernel_id": "17704612"}, {"ref": "bokyungleee/bigdata-project-eda-fe-bokyungleee", "kernel_id": "17899341"}, {"ref": "yundabin/bigdata-project-eda-fe-1915797", "kernel_id": "17890120"}, {"ref": "seoyeongpark/bigdata-project-eda-fe-seoyeong", "kernel_id": "17855132"}, {"ref": "soohyunlee0807prad/bigdata-project-eda-fe-soohyun0807prad", "kernel_id": "17910146"}, {"ref": "yujinkangkang/notebook89306e1d44", "kernel_id": "17889615"}, {"ref": "yujinkangkang/notebook0c30ad2f91", "kernel_id": "17899939"}, {"ref": "miyoungsong/bigdata-project-eda-fe-miyoung", "kernel_id": "17911448"}, {"ref": "yujeongella/bigdata-project-eda-fe-ella", "kernel_id": "17857459"}, {"ref": "choiyeaeun/bigdata-project-eda-fe-1915743", "kernel_id": "17876386"}, {"ref": "harangdi/bigdata-project-eda-fe-harangdi", "kernel_id": "17915100"}, {"ref": "yusimo/bigdata-project-eda-fe-simo", "kernel_id": "17904392"}, {"ref": "sangheekimsm/bigdata-project-eda-fe-kimsanghee", "kernel_id": "17909646"}, {"ref": "hyeonjujeon/big-data-analysis-final-project-jhj", "kernel_id": "17902000"}, {"ref": "gayeonryu/big-project-eda-fe-gayeon-ryu", "kernel_id": "17911116"}, {"ref": "inhoocho/bigdata-project-eda-fe-inhoo-cho", "kernel_id": "17905573"}, {"ref": "minsokimsoyeon/bigdataanalysis-final-eda-fe-soyeonkim", "kernel_id": "17914616"}, {"ref": "chaeny/bigdata-project-eda-fe-chaeny", "kernel_id": "17915600"}, {"ref": "erikwirianto/home-credit-data-science-test", "kernel_id": "17953484"}, {"ref": "kurumiwari/home-credit-default-risk", "kernel_id": "18122132"}, {"ref": "yumamin/home-credit-default", "kernel_id": "18620823"}, {"ref": "sangamyadav/homecredit-default-risk-model-creation", "kernel_id": "18045509"}, {"ref": "sangamyadav/home-credit-default-risk-pytorch", "kernel_id": "18543611"}, {"ref": "araul3927/home-credit-risk-ann", "kernel_id": "18567480"}, {"ref": "dahyun3422/kaggle-week2", "kernel_id": "18324044"}, {"ref": "timvh2/fork-of-data-cleaning", "kernel_id": "18288147"}, {"ref": "kimhyelin/home-credit-default-risk-hl", "kernel_id": "18632806"}, {"ref": "pial99/home-credit-ensemble", "kernel_id": "18811110"}, {"ref": "pial99/neural-net-home-credit", "kernel_id": "18250727"}, {"ref": "pial99/home-credit-neural-log-reg", "kernel_id": "18348927"}, {"ref": "pial99/neural-net-3", "kernel_id": "18444393"}, {"ref": "yurimhwang/home-credit-default-risk-yr", "kernel_id": "18632829"}, {"ref": "hyunhp/home-credit-default-risk-written-by-will", "kernel_id": "18632979"}, {"ref": "benhrizakram/smote", "kernel_id": "18341853"}, {"ref": "satoshimts/home-credit-random-forest", "kernel_id": "18935024"}, {"ref": "satoshimts/eda-home-credit", "kernel_id": "18862229"}, {"ref": "satoshimts/home-credit-first-commit", "kernel_id": "18862846"}, {"ref": "tahmidnafi/cse499", "kernel_id": "18805376"}, {"ref": "turgutguvenc/home-credit-train-test", "kernel_id": "19510925"}, {"ref": "turgutguvenc/home-credit-project-credit-card-balance", "kernel_id": "19393839"}, {"ref": "pial99/499-lgbm-with-k-fold", "kernel_id": "19958762"}, {"ref": "hyunhp/manual-feature-engineering-by-will", "kernel_id": "19720007"}, {"ref": "hyunhp/stacking-test-written-by-eliot", "kernel_id": "19947580"}, {"ref": "tahmidnafi/cse499-tahmid-nn-lgbm", "kernel_id": "19535158"}, {"ref": "tahmidnafi/cse499-tahmid-ovesampling", "kernel_id": "19576854"}, {"ref": "tahmidnafi/cse499-tahmid-lgbm", "kernel_id": "19576721"}, {"ref": "tahmidnafi/cse499-tahmid-nn", "kernel_id": "19576670"}, {"ref": "tahmidnafi/cse499-tahmid-ensamble-1", "kernel_id": "19290899"}, {"ref": "seungak/home-credit-default-risk", "kernel_id": "20862457"}, {"ref": "s903124/base-model-with-0-804-auc-on-home-credit", "kernel_id": "20988467"}, {"ref": "tugrulyilmaz/home-credit", "kernel_id": "20118187"}, {"ref": "catadanna/oc-ds-p7", "kernel_id": "20209962"}, {"ref": "attagungho/home-credit-default-risk-copyworks", "kernel_id": "20862794"}, {"ref": "yassinerabaoui/eda302021", "kernel_id": "20177074"}, {"ref": "yassinerabaoui/featinge", "kernel_id": "20214795"}, {"ref": "haticeebraralc/homecredit-default-risk", "kernel_id": "20350216"}, {"ref": "turgutguvenc/home-credit-xgboost-dsmlbc4-gr2", "kernel_id": "20091553"}, {"ref": "turgutguvenc/home-credit-lgbm-with-feature-engineering-latest", "kernel_id": "20134610"}, {"ref": "turgutguvenc/home-credit-with-feature-engineering", "kernel_id": "20110019"}, {"ref": "ilmiatfarhana/weight-average-nn-and-lightgbm", "kernel_id": "20132475"}, {"ref": "joshuasirusstara/credit-housing", "kernel_id": "20702211"}, {"ref": "basakcelikdemir/homecredit-default-risk", "kernel_id": "20022353"}, {"ref": "kubrabilinmis/homecredit-default-riskk", "kernel_id": "20369602"}, {"ref": "suruki/skh-home-credit-risk", "kernel_id": "20530722"}, {"ref": "seneralkan/advanced-feature-engineering", "kernel_id": "20927021"}, {"ref": "minhming/home-credit-default-risk", "kernel_id": "20689964"}, {"ref": "math6010zzlll/math6010z-zhen-liu-lu-lai", "kernel_id": "20642927"}, {"ref": "junkaipeng/mafs6010z-warmup-project", "kernel_id": "20594228"}, {"ref": "alperaydyn/dsmlbc-project-homecredit", "kernel_id": "21812751"}, {"ref": "j2hoon85/reuse-baseline-modeling-with-lgbm-and-xgboost-in-r", "kernel_id": "21726671"}, {"ref": "derrickmwiti/credit-risk-scoring", "kernel_id": "21945893"}, {"ref": "kbakshi98/exploring-loan-repayment-prediction", "kernel_id": "21712171"}, {"ref": "cloycebox/default-risk-exploration-cjp-and-friends", "kernel_id": "21693959"}, {"ref": "cloycebox/default-risk-model-first-attempt-cjp", "kernel_id": "21787927"}, {"ref": "cloycebox/default-risk-submission-notebook-cjp-week4", "kernel_id": "21946831"}, {"ref": "cloycebox/default-risk-model-week-4", "kernel_id": "21941357"}, {"ref": "cloycebox/default-risk-submission-notebook-cjp-and-friends", "kernel_id": "21794268"}, {"ref": "cloycebox/calculation-of-apr-stat-in-previous-application", "kernel_id": "21836867"}, {"ref": "anonyhost/homecredit-dataexplorerer", "kernel_id": "21369652"}, {"ref": "swarupa29/ensemble-model", "kernel_id": "21777855"}, {"ref": "prevailing/home-credit-eda", "kernel_id": "21006446"}, {"ref": "megannichols/dsci-598-team-3-models", "kernel_id": "21723403"}, {"ref": "megannichols/dsci-598-team-3-eda", "kernel_id": "21810924"}, {"ref": "megannichols/team-3-week-1-submission-dsci598", "kernel_id": "21809053"}, {"ref": "megannichols/dsci-598-team-3-week-2-submission", "kernel_id": "21938466"}, {"ref": "hanadigitalwarrior/home-credit-default-risk-introduction-kor", "kernel_id": "21386379"}, {"ref": "yingdanli49/predict-home-credit-default-risk", "kernel_id": "22735507"}, {"ref": "codecx07/gans-for-tabular-data", "kernel_id": "22450131"}, {"ref": "cloycebox/team-3-submission-notebook", "kernel_id": "22388580"}, {"ref": "cloycebox/team-3-model-notebook", "kernel_id": "22382449"}, {"ref": "cloycebox/team-3-data-generation-notebook", "kernel_id": "22380889"}, {"ref": "cloycebox/default-risk-submission-notebook-week-5", "kernel_id": "22046560"}, {"ref": "cloycebox/default-risk-week-5-cjp", "kernel_id": "22046797"}, {"ref": "s903124/base-model-with-0-804-auc-on-home-credit-rf", "kernel_id": "22356885"}, {"ref": "s903124/base-model-with-0-804-auc-on-home-credit-untuned", "kernel_id": "22154520"}, {"ref": "rohitdharma/exploration-and-prediction", "kernel_id": "22326136"}, {"ref": "thimoty/home-credit-timo", "kernel_id": "22306811"}, {"ref": "thimoty/home-credit-timo-part-2", "kernel_id": "22378302"}, {"ref": "hadeux/auto-simple-ensemble-model", "kernel_id": "22125225"}, {"ref": "swarupa29/l0-models", "kernel_id": "22069118"}, {"ref": "yassinerabaoui/random-logistic", "kernel_id": "22171133"}, {"ref": "taikiikuta/home-credit-logistic-regression-modeling-at-first", "kernel_id": "22111322"}, {"ref": "megannichols/team-3-final-eda-notebook-1", "kernel_id": "22334745"}, {"ref": "megannichols/team-3-final-report-notebook", "kernel_id": "22332737"}, {"ref": "megannichols/dsci-598-team-3-week-6-submission", "kernel_id": "22248594"}, {"ref": "megannichols/dsci-598-team-3-week-5-models", "kernel_id": "22244318"}, {"ref": "megannichols/dsci-598-team-3-week-6-model", "kernel_id": "22022899"}, {"ref": "megannichols/dsci-598-team-3-week-5-submission", "kernel_id": "22137988"}, {"ref": "kuchangchen/first-assignment", "kernel_id": "22566132"}, {"ref": "salemgirmai/team-3-eda-notebook-2", "kernel_id": "22479094"}, {"ref": "nicolarubano/home-credit-nicorub", "kernel_id": "22481506"}, {"ref": "yehan97/final-project", "kernel_id": "22606515"}, {"ref": "alinakhalikova/credit", "kernel_id": "22799502"}, {"ref": "louter/group-a-css-324-introduction-to-machine-learning", "kernel_id": "23090292"}, {"ref": "rohitdharma/prediction-home-credit-risk", "kernel_id": "23680535"}, {"ref": "weslatimarwen/feature-engineering-solve-imbalanced-data", "kernel_id": "23021243"}, {"ref": "chrismw/loan-default-scorecard-model-development", "kernel_id": "23574186"}, {"ref": "topraksoydan/house-credit-default-risk", "kernel_id": "23407804"}, {"ref": "chnhgr/model-of-home-credit-default-risk-team-8", "kernel_id": "23675101"}, {"ref": "ersinztrk/home-credit-clean-code", "kernel_id": "23848166"}, {"ref": "arieljumba/predicting-home-credit-defaults", "kernel_id": "24133040"}, {"ref": "s903124/base-model-with-0-804-auc-on-home-credit-cnn", "kernel_id": "24799932"}, {"ref": "fathinahizzati/credit-default-risk-1", "kernel_id": "24433070"}, {"ref": "mohammadfikri/predict-defaults-home-credit-with-roc-auc-0-72", "kernel_id": "24790030"}, {"ref": "nikunjmalpani/hcdr-ml-pipeline", "kernel_id": "24133313"}, {"ref": "hananenourmoussa/notebook-home-credit-default-risk", "kernel_id": "24359570"}, {"ref": "s903124/base-model-with-0-804-auc-on-home-credit-mlp", "kernel_id": "25164749"}, {"ref": "s903124/base-model-with-0-804-auc-on-home-credit-logistic", "kernel_id": "25769164"}, {"ref": "tquantsolutions/hcdefaultrisk-nqtsolutions", "kernel_id": "25948181"}, {"ref": "byenhyenmin/introduction-to-manual-feature-engineering-1", "kernel_id": "25339706"}, {"ref": "byenhyenmin/introduction-to-manual-feature-engineering-analyze", "kernel_id": "25056138"}, {"ref": "kimminsol/home-credit-default-risk", "kernel_id": "25749089"}, {"ref": "egyuden/15-notebook-example", "kernel_id": "25819651"}, {"ref": "egyuden/notebook-example", "kernel_id": "25791003"}, {"ref": "emilyjiminroh/eda-visualization-home-credit-default-risk", "kernel_id": "25646905"}, {"ref": "emilyjiminroh/eda-home-credit-default-risk-collabo-ver", "kernel_id": "25755018"}, {"ref": "gsalieri/part1", "kernel_id": "25220050"}, {"ref": "jaepyo99/smarcle", "kernel_id": "25716713"}, {"ref": "swan706/home-credit-default-eda-and-visualization", "kernel_id": "25743764"}, {"ref": "derekxue/home-credit-forbeginner", "kernel_id": "26870165"}, {"ref": "byenhyenmin/homecredit-feature-engineering-part-2-1", "kernel_id": "26063571"}, {"ref": "egorderiugin/lab2ml", "kernel_id": "26418409"}, {"ref": "wssamhassan/home-credit-default-risk-wssam-hassan", "kernel_id": "26137031"}, {"ref": "pratimborah/eda-using-seaborn-and-matplotlib", "kernel_id": "26472844"}, {"ref": "nguynthanhhuy/home-credit-default-risk-eda-project", "kernel_id": "26819735"}, {"ref": "fionameisner/home-credit-with-lgbmclassifier", "kernel_id": "26910992"}, {"ref": "idsts2670/notebook-home-credit", "kernel_id": "26929023"}, {"ref": "zym651/home-risk", "kernel_id": "26466338"}, {"ref": "fatemetardasti/home-risk-eda", "kernel_id": "27472890"}, {"ref": "fatemetardasti/home-risk-model", "kernel_id": "27575232"}, {"ref": "atilaysamiloglu/home-credit-default-dsmlbc4-gr2", "kernel_id": "27472893"}, {"ref": "arezoodahesh/home-credit-default-risk-part01-eda", "kernel_id": "27574280"}, {"ref": "arezoodahesh/home-credit-default-risk-part02-boosting-models", "kernel_id": "27252180"}, {"ref": "banditobarbosa/aai-510-module-3", "kernel_id": "27071923"}, {"ref": "zhangjieying530/home-credit", "kernel_id": "27003846"}, {"ref": "svetlanakim13/homecredit-ver2", "kernel_id": "27504462"}, {"ref": "svetlanakim13/homecredit-ver3", "kernel_id": "27508570"}, {"ref": "svetlanakim13/lanarose-ver1", "kernel_id": "27286225"}, {"ref": "fkvivid/notebook0b51acb079", "kernel_id": "27526422"}, {"ref": "miriben/home-credit-default-risk-classification", "kernel_id": "28021544"}, {"ref": "edolele/auto-feature-generation-featuretools-example", "kernel_id": "28752091"}, {"ref": "edolele/eda-home-credit", "kernel_id": "28766338"}, {"ref": "jundthird/kor-start-here-a-gentle-introduction", "kernel_id": "28084718"}, {"ref": "ngoymukendi/risque-de-d-faut-de-cr-dit", "kernel_id": "28521747"}, {"ref": "mdahmadjami/model-home-credit", "kernel_id": "28238536"}, {"ref": "mdahmadjami/eda-home-credit", "kernel_id": "28233934"}, {"ref": "byenhyenmin/homecredit-main-data-eda", "kernel_id": "28081856"}, {"ref": "lucas1024kk/kaggle-book-my-note7", "kernel_id": "28068354"}, {"ref": "ahnsugyeong/home-credit-default-risk", "kernel_id": "28365103"}, {"ref": "swyang15/try-1", "kernel_id": "28408366"}, {"ref": "cocorin/yh-cur-home-credit-default-risk", "kernel_id": "28658999"}, {"ref": "veronikakotsiubynska/kotsibynska-lab2", "kernel_id": "28014526"}, {"ref": "zdanielshi/home-credit-classifications-k-nearest-neighbor", "kernel_id": "28955681"}, {"ref": "syahbima/home-credit-risk-modelling", "kernel_id": "29604618"}, {"ref": "jundthird/kor-manual-feature-engineering-pt2", "kernel_id": "29815630"}, {"ref": "jundthird/kor-introduction-manual-feature-engineering", "kernel_id": "29588848"}, {"ref": "husainkhatba/home-credit-default-risk-pycaret-shap-french", "kernel_id": "29592682"}, {"ref": "byenhyenmin/homecredit-domain-feature-try-and-subsample-try", "kernel_id": "29770833"}, {"ref": "byenhyenmin/bureau-df-eda", "kernel_id": "29832024"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "cocorin/yh-cur-intro-to-manual-f-e", "kernel_id": "29087875"}, {"ref": "cocorin/yh-cur-stacking-test-sklearn-xgb-catb-lgbm", "kernel_id": "29194373"}, {"ref": "cocorin/yh-cur-lightgbm-7th-place-solution", "kernel_id": "29234203"}, {"ref": "jundthird/kor-automated-feature-engineering-basics", "kernel_id": "30168291"}, {"ref": "jundthird/kor-tuning-automated-feature-engineering", "kernel_id": "30889025"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "lildatascientist/notebook5a43e0a688", "kernel_id": "30854242"}, {"ref": "nobodymartin/lightgbm-explanation-practice-with-dataset", "kernel_id": "30786405"}, {"ref": "deepshikha0105/home-credit-risk-prediction", "kernel_id": "30405570"}, {"ref": "khik16a/homework", "kernel_id": "31192822"}, {"ref": "brandonsfick/mu-capstone-gmtb", "kernel_id": "31947103"}, {"ref": "albowsunowski/catboost", "kernel_id": "31570679"}, {"ref": "polinazhiburt/homework", "kernel_id": "31863596"}, {"ref": "esauhernandezvelasco/home-credit-default-risk-esau-hernandez", "kernel_id": "31038298"}, {"ref": "phnganhtrnh/dp-pos-pre-app-instalment", "kernel_id": "31792070"}, {"ref": "tracykobel/hcdr-eda", "kernel_id": "31988864"}, {"ref": "gwenrockoff/group-2-hcd-eda", "kernel_id": "31947107"}, {"ref": "duynguyen2/credit-card-balance", "kernel_id": "31762841"}, {"ref": "nhatannguyenvu/data-pre-project", "kernel_id": "31891964"}, {"ref": "elodiezay/installments-payments", "kernel_id": "31792549"}, {"ref": "elodiezay/creditcardbalance", "kernel_id": "31934217"}, {"ref": "tngkhnhnhi/bureau-bureau-balance", "kernel_id": "31892431"}, {"ref": "weimiaoou/home-credit-classifications", "kernel_id": "32923887"}, {"ref": "brandonsfick/group-2-prev-app-agg", "kernel_id": "32915967"}, {"ref": "brandonsfick/group-2-v01", "kernel_id": "32775089"}, {"ref": "brandonsfick/group-2-hcd-submission", "kernel_id": "32777916"}, {"ref": "brandonsfick/group-2-prev-app-eda", "kernel_id": "32070749"}, {"ref": "brandonsfick/mu-capstone-gmtb-week-5", "kernel_id": "32343081"}, {"ref": "brandonsfick/home-credit-default-risk-optuna-on-progress", "kernel_id": "32299835"}, {"ref": "khoo0621/home-credit-default-risk", "kernel_id": "32194222"}, {"ref": "rosejiwonpark/it-business-innovation", "kernel_id": "32684475"}, {"ref": "nguyenchuongk15fptu/notebookd08096ceba", "kernel_id": "32071240"}, {"ref": "tracykobel/tk-hcdr-bureau-feature-engineering-v02", "kernel_id": "32303851"}, {"ref": "tracykobel/tk-hcdr-bureau-feature-engineering-v03", "kernel_id": "32445566"}, {"ref": "tracykobel/tk-hcdr-bureau-feature-engineering-v01", "kernel_id": "32115590"}, {"ref": "tracykobel/group-2-xgboost-v01", "kernel_id": "32982273"}, {"ref": "gwenrockoff/group-2-v01", "kernel_id": "32246894"}, {"ref": "delinh/application", "kernel_id": "32277901"}, {"ref": "berkaydnmez/1-numpy-data-analysis-with-python", "kernel_id": "32773829"}, {"ref": "anhdinh2601/my-thesis", "kernel_id": "32846377"}, {"ref": "goondeal/notebookb27040f180", "kernel_id": "33557336"}, {"ref": "quydd56/20221208-homecredit-initial-model", "kernel_id": "33106859"}, {"ref": "zeyadkhalid/home-credit-risk-eda-ml-dl", "kernel_id": "33911636"}, {"ref": "inhtunanh/mythesis", "kernel_id": "33021124"}, {"ref": "kenightlam/credit-risk-lightgbm", "kernel_id": "33817532"}, {"ref": "muhammadelemery/statistical-analysis-and-feature-engineering", "kernel_id": "33615801"}, {"ref": "imumtozee/bank-final", "kernel_id": "33456440"}, {"ref": "bondarroman/homecreditdefaultrisk", "kernel_id": "33446477"}, {"ref": "locvalenti/last-model", "kernel_id": "33464979"}, {"ref": "megancrenshaw/dsci-598-hcr-summary-report", "kernel_id": "33105008"}, {"ref": "tracykobel/group-2-hcd-submission-xgboost", "kernel_id": "33006604"}, {"ref": "gwenrockoff/hcr-model-overview", "kernel_id": "33106003"}, {"ref": "kenightlam/credit-risk-pycaret", "kernel_id": "34270227"}, {"ref": "kenightlam/home-credit-default-risk-learning-note", "kernel_id": "34745907"}, {"ref": "omarhussien12/baseline-for-credit-risk", "kernel_id": "34583986"}, {"ref": "locvalenti/model-with-bayesian-optimization", "kernel_id": "34206330"}, {"ref": "locvalenti/model-with-bayesian-optimization-2419ca", "kernel_id": "34320262"}, {"ref": "flavioblondeau/home-credit-default-risk-notebook", "kernel_id": "34228651"}, {"ref": "enjoylife/0128-eda-fe-visual-lgbm-bayes-opt-python", "kernel_id": "34231055"}, {"ref": "lolokiller/model-with-bayesian-optimization", "kernel_id": "34300789"}, {"ref": "lolokiller/model-with-bayesian-optimization-2419ca-16fa12", "kernel_id": "34384270"}, {"ref": "kimminky/beigginer-guide-book", "kernel_id": "34785291"}, {"ref": "mohdbilalhaider/challenge-2-data-science", "kernel_id": "36465867"}, {"ref": "lavdata/notebook9fc3824f4f", "kernel_id": "36368887"}, {"ref": "omarkhd99/home-credit-default-risk-challeng", "kernel_id": "36450336"}, {"ref": "dlogical/home-credit-challenge", "kernel_id": "36147874"}, {"ref": "balavenakata/cards-rnf", "kernel_id": "36503144"}, {"ref": "baipenggong/deep-learning-in-tf-with-upsampling-lb-7-002fdd", "kernel_id": "37358887"}, {"ref": "anastasiaspirova/notebook0cd2d42dad", "kernel_id": "37325421"}, {"ref": "anhnm16/logit-interpretability", "kernel_id": "37237219"}, {"ref": "anhnm16/lgbm-model", "kernel_id": "37177617"}, {"ref": "oleksandrshynkarov/notebookd977aebf7d", "kernel_id": "37402437"}, {"ref": "denisemtatih/models-in-python", "kernel_id": "37183934"}, {"ref": "bhavyamistry425/notebookd2932d39f0", "kernel_id": "37572867"}, {"ref": "markvkh/notebook2125dbc357", "kernel_id": "37432791"}, {"ref": "puushpak/credit-default-risk-final-project", "kernel_id": "38911038"}, {"ref": "sishihara/py310-python-kaggle-start-book-ch03-01", "kernel_id": "38473029"}, {"ref": "kundang/home-credit-risk-kundan", "kernel_id": "38141702"}, {"ref": "luckylucke/fork-of-random-forest-and-lightgbm-ver02", "kernel_id": "38182183"}, {"ref": "lavdata/notebook2a2f734288", "kernel_id": "38966327"}, {"ref": "anastasiaspirova/notebook64b9b0c0cc", "kernel_id": "38516508"}, {"ref": "thevisionaries/homecreditrisk-extensive-eda-baseline-0-772", "kernel_id": "38179210"}, {"ref": "thevisionaries/home-credit-complete-eda-feature-importance", "kernel_id": "38179512"}, {"ref": "floser/ereignisprognose-in-r-mit-ki2", "kernel_id": "39724122"}, {"ref": "floser/ereignisprognose-mit-ki2", "kernel_id": "39670807"}, {"ref": "phamson/home-credit-default-risk-visualization-analysis", "kernel_id": "39359103"}, {"ref": "shagalsajid/data-cleanup-for-risk-analysis", "kernel_id": "39266094"}, {"ref": "shagalsajid/exploratory-data-analysis-on-risky-clients", "kernel_id": "39356108"}, {"ref": "mawaralhani/customer-analysis-home-credit-default-risk", "kernel_id": "39829766"}, {"ref": "kiutrinh/home-credit-cluster", "kernel_id": "39567705"}, {"ref": "francklepoivre/home-credit-csv-pqt", "kernel_id": "39922066"}, {"ref": "fidelaikerusendra/home-credit-project", "kernel_id": "39831383"}, {"ref": "suraj520/rapidsml-cudf-read-the-primer-analyse-then-infer", "kernel_id": "40050163"}, {"ref": "shagalsajid/detailed-exploratory-data-analysis", "kernel_id": "40275209"}, {"ref": "melbourne0/homeloandefaultprediction", "kernel_id": "40041325"}, {"ref": "sylvainga/oc-p4", "kernel_id": "40092081"}, {"ref": "hiro1315/notebook5e573634b3", "kernel_id": "40930903"}, {"ref": "floser/ads3-2023-credit-scoring", "kernel_id": "41232462"}, {"ref": "seifmechi/credit-default-risk", "kernel_id": "41056169"}, {"ref": "huseyincosgun/feature-engineering", "kernel_id": "41451868"}, {"ref": "aqilafadia/predict-score-credit", "kernel_id": "41021192"}, {"ref": "tattran/home-credit-cs", "kernel_id": "41216375"}, {"ref": "sengokushuehi/notebook9f172c45b2-3ccebc", "kernel_id": "41522260"}, {"ref": "gorilla1212/notebookb37ce29d18", "kernel_id": "41294020"}, {"ref": "hiro1315/notebook919fd0b3de-adcf7c", "kernel_id": "41521518"}, {"ref": "takahashiteppei/notebook3f40caf6c4", "kernel_id": "41293140"}, {"ref": "daikiariga/notebook9f172c45b2", "kernel_id": "41057883"}, {"ref": "daikiariga/notebook919fd0b3de", "kernel_id": "41216134"}, {"ref": "setominamo/notebook2d0b285500", "kernel_id": "41522582"}, {"ref": "setominamo/notebook104cecf994", "kernel_id": "41518592"}, {"ref": "sarcasf/home-credit-default-risk", "kernel_id": "41613574"}, {"ref": "yfwei36/home-credit-default-risk-ipynb", "kernel_id": "42604382"}, {"ref": "yakinoki/home-credit-default-risk", "kernel_id": "42711812"}, {"ref": "hinnguynminh/lightgbm-7th-place-solution-74bbbc", "kernel_id": "42573827"}, {"ref": "tayloryjia/mafs6010-jia-jiang-huang-yang", "kernel_id": "42819108"}, {"ref": "qinfhao/notebookd9515325d7", "kernel_id": "42961402"}, {"ref": "myriamaitlhaj/notebook-projet7", "kernel_id": "42202803"}, {"ref": "kondratyukroman/notebook74eda941f0", "kernel_id": "42577065"}, {"ref": "zhongziyu/mafs6010z-zhong-zhong", "kernel_id": "43273240"}, {"ref": "hakanfe/home-credit-risk-modelling", "kernel_id": "43915100"}, {"ref": "ameys97/homecredit-default-risk-learning-ml-along-the-way", "kernel_id": "43042793"}, {"ref": "solankirahulfr/scoring-models", "kernel_id": "43600404"}, {"ref": "czarpluto/home-credit-lightgbm", "kernel_id": "43052885"}, {"ref": "minasefikadu/home-credit-default-risk-eda", "kernel_id": "43137616"}, {"ref": "minasefikadu/home-credit-default-risk-modelling", "kernel_id": "43565777"}, {"ref": "alvinji/credit-default-test", "kernel_id": "43055461"}, {"ref": "gewanyi/mafs6010z-ge-feng", "kernel_id": "43064724"}, {"ref": "lihanjin/home-credit-default-risks", "kernel_id": "43088164"}, {"ref": "zky43210/mafs6010z-zheng-zhang-wang-shen", "kernel_id": "43293367"}, {"ref": "charilehongkaisu/mafs6010z-su-xie-luo-zheng", "kernel_id": "43290944"}, {"ref": "mafs6010zluoxinyang/notebook1885b83db1", "kernel_id": "43231327"}, {"ref": "mafs6010zxiaolin/mafs6010z-jiang-lin-xiao-zhang", "kernel_id": "43298114"}, {"ref": "shadymohammed7/home-credit-risk", "kernel_id": "44361619"}, {"ref": "lisa0910/fin789-group1", "kernel_id": "44106665"}, {"ref": "frostalev/home-cred-task", "kernel_id": "44921293"}, {"ref": "ameys97/homecredit-defaultrisk-learn-manual-feature-engg", "kernel_id": "45336767"}, {"ref": "vedantshenoy/shapproj", "kernel_id": "45907444"}, {"ref": "hassankhaled21/having-fun-with-data", "kernel_id": "45018565"}, {"ref": "yldzburhan/feature-engineering-hacks-for-better-models", "kernel_id": "45681469"}, {"ref": "hamdy20/assignment1", "kernel_id": "45029849"}, {"ref": "leschmiedeler/ls-home-credit-model-tuning-and-prediction", "kernel_id": "46418302"}, {"ref": "leschmiedeler/ls-home-credit-exploratory-data-analysis", "kernel_id": "46411307"}, {"ref": "leschmiedeler/ls-home-credit-feature-engineering", "kernel_id": "46715505"}, {"ref": "vuxminhan/home-credit-risk-project-final", "kernel_id": "46221849"}, {"ref": "b19dccn304chuchuy/final", "kernel_id": "46929582"}, {"ref": "huseyinbaytar/feature-engineering-tips", "kernel_id": "46024841"}, {"ref": "seoyeon0111/home-credict", "kernel_id": "46504345"}, {"ref": "leschmiedeler/ls-home-credit-feature-importance-and-selection", "kernel_id": "47555342"}, {"ref": "leschmiedeler/ls-home-credit-model-selection", "kernel_id": "47935907"}, {"ref": "leschmiedeler/ls-home-credit-summary", "kernel_id": "47973521"}, {"ref": "sdurmus/knn-on-application-train-pca-for-ensembling", "kernel_id": "47560103"}, {"ref": "sdurmus/home-credit-risk-project-final", "kernel_id": "47745555"}, {"ref": "nirajchaudhari17/start-here-a-gentle-introduction", "kernel_id": "47106940"}, {"ref": "yuuki8867/baseline", "kernel_id": "49770658"}, {"ref": "talverinat/noautoml", "kernel_id": "49464313"}, {"ref": "talverinat/automl", "kernel_id": "49465892"}, {"ref": "thebratattack/credit-risk-modelling", "kernel_id": "50816305"}, {"ref": "floser/binary-classification-credit-scoring", "kernel_id": "50618971"}, {"ref": "kacperkadziolka/home-credit-default-risk-competition", "kernel_id": "50116235"}, {"ref": "anveshkothapally01/home-credit-default-risk", "kernel_id": "50798565"}, {"ref": "jurk06/home-credit-default-risk", "kernel_id": "51039136"}, {"ref": "fionaaa2017/home-credit-default-risk-understand-data", "kernel_id": "51798455"}, {"ref": "duongnguyenquoc/home-credit-default-risk", "kernel_id": "51805040"}, {"ref": "himanshusinghal007/himanshu-mp", "kernel_id": "51478739"}, {"ref": "zackgreinke/my-3rd-home-credit-default-risk", "kernel_id": "51945425"}, {"ref": "margobelikova/lab2-ml-code", "kernel_id": "51032934"}, {"ref": "jakeai/home-credit-risk-default-practice-2", "kernel_id": "51949107"}, {"ref": "jakeai/home-credit-default-risk-practice-1", "kernel_id": "51506717"}, {"ref": "valeriayakovleva/fast-ai-pytorch-train-only", "kernel_id": "52932683"}, {"ref": "jihunhyeon/home-credit-default-risk", "kernel_id": "52098363"}, {"ref": "freewifii/3-home-credit-default-risk", "kernel_id": "52166403"}, {"ref": "loujaienelsherbiny/challenge", "kernel_id": "52778376"}, {"ref": "hanpil/3-home-credit-default-risk", "kernel_id": "52038480"}, {"ref": "shashipreethamp/home-credit-loan-risk", "kernel_id": "52884248"}, {"ref": "fionaaa2017/home-credit-baseline-eda-feature-engineer", "kernel_id": "53410703"}, {"ref": "alexmendoza95/am-nm-hcdr-v02", "kernel_id": "53766165"}, {"ref": "alexmendoza95/am-home-credit-eda-v02", "kernel_id": "53916358"}, {"ref": "alexmendoza95/am-nm-home-credit-eda", "kernel_id": "53408742"}, {"ref": "alexmendoza95/am-nm-hcdr-v01", "kernel_id": "53478659"}, {"ref": "alexmendoza95/am-nm-hcdr-submission-v01", "kernel_id": "53590462"}, {"ref": "ahmedmagdyhosney/home-credit-data-processing-aux-tables-bureau", "kernel_id": "53245978"}, {"ref": "harikirangannamani/capstone-project", "kernel_id": "53313277"}, {"ref": "shashipreethamp/cp-home-credit-default-risk", "kernel_id": "53929597"}, {"ref": "shashipreethamp/capstone-project-homecredit-default-risk", "kernel_id": "53032849"}, {"ref": "nmanne31/am-nm-hcdr-v03", "kernel_id": "53923932"}, {"ref": "kelechibassey/kb-ao-home-credit-default-risk-eda-v9", "kernel_id": "53635213"}, {"ref": "kelechibassey/kb-ao-hcdr-model-submission-v01", "kernel_id": "53798549"}, {"ref": "kelechibassey/kb-ao-hcdr-submission-v01", "kernel_id": "53796762"}, {"ref": "kelechibassey/kb-ao-hcd-train-model-selection-v01", "kernel_id": "53767059"}, {"ref": "ggaragiola/gwg-home-credit-default-risk-v01", "kernel_id": "53669522"}, {"ref": "ggaragiola/gwg-home-credit-default-risk-submission-01", "kernel_id": "53676437"}, {"ref": "ggaragiola/gwg-home-credit-eda-v01", "kernel_id": "53665699"}, {"ref": "keypet1706/credit-risk-woe-variables-logistic", "kernel_id": "54542462"}, {"ref": "tanakataro73/kaggle-book-morohashi-07-home-credit-default-risk", "kernel_id": "54648637"}, {"ref": "burcakaydn/home-credit-default-risk-predictor", "kernel_id": "54645601"}, {"ref": "anettevolkova/notebook1694c40b42", "kernel_id": "54991155"}, {"ref": "anettevolkova/version6anette", "kernel_id": "54991222"}, {"ref": "alexmendoza95/am-nm-home-credit-eda-v03", "kernel_id": "54314171"}, {"ref": "alexmendoza95/am-nm-hcdr-v04", "kernel_id": "54228967"}, {"ref": "alexmendoza95/am-nm-final-submission-notebook", "kernel_id": "54301267"}, {"ref": "alexmendoza95/am-nm-hcdr-submission-v02", "kernel_id": "54167876"}, {"ref": "alexmendoza95/am-nm-hcdr-submission-v03", "kernel_id": "54596721"}, {"ref": "alexmendoza95/am-nm-hcdr-v3", "kernel_id": "54597652"}, {"ref": "chengluming/intro-to-model-tuning-grid-and-random-search", "kernel_id": "54558369"}, {"ref": "anastasiayurkina/yh-cur-stacking-test-sklearn-xgb-catb-lgbm", "kernel_id": "54238871"}, {"ref": "anveshkothapally01/anvesh-capstone", "kernel_id": "54812207"}, {"ref": "nmanne31/am-nm-hcdr-v4", "kernel_id": "54760033"}, {"ref": "kelechibassey/kb-ao-wk5-hcdr-model-selection-v01", "kernel_id": "54731609"}, {"ref": "kelechibassey/kb-ao-wk5-hcdr-submission-v01", "kernel_id": "54757260"}, {"ref": "ggaragiola/gwg-home-credit-default-risk-v02", "kernel_id": "54224871"}, {"ref": "ggaragiola/gwg-home-credit-default-risk-submission-02", "kernel_id": "54326354"}, {"ref": "ggaragiola/gwg-home-credit-v02", "kernel_id": "54220192"}, {"ref": "ggaragiola/gwg-home-credit-default-risk-submission-03", "kernel_id": "54701545"}, {"ref": "ggaragiola/gwg-home-credit-v03", "kernel_id": "54602720"}, {"ref": "ggaragiola/gwg-hcdr-week-5-eda", "kernel_id": "54474186"}, {"ref": "rajeshmavi084/home-credit-default-risk", "kernel_id": "55173699"}, {"ref": "omveersinghgurjar/home-credit-join-data-carefully", "kernel_id": "55277922"}, {"ref": "cdattr/home-credit-baseline-eda-feature-engineer", "kernel_id": "55686230"}, {"ref": "acchiko/let-s-play-with-polars-pandas", "kernel_id": "55785750"}, {"ref": "chanchal24/credit-card-fraud-detection", "kernel_id": "55581060"}, {"ref": "ujjalnandy/pandas-2-0-vs-polar-in-home-credit-data", "kernel_id": "55764808"}, {"ref": "ujjalnandy/data-pre-processing-29th-apr", "kernel_id": "55766002"}, {"ref": "alexmendoza95/am-nm-hcdr-v05", "kernel_id": "55033406"}, {"ref": "alexmendoza95/am-nm-hcdr-submission-v04", "kernel_id": "55051427"}, {"ref": "alexmendoza95/am-nm-hcdr-v06", "kernel_id": "55827549"}, {"ref": "alexmendoza95/am-nm-hcdr-submission-v05", "kernel_id": "55653224"}, {"ref": "nezahatkk/zellik-m-hendisli-i-ayk-r-de-erleri-yakalamak", "kernel_id": "55292454"}, {"ref": "nmanne31/nm-hcdr-v05", "kernel_id": "55316134"}, {"ref": "kelechibassey/kb-ao-hcdr-wk7-lgbm-model-submission", "kernel_id": "55527343"}, {"ref": "kelechibassey/kb-ao-hcdr-wk7-lgbm-model-selection", "kernel_id": "55376607"}, {"ref": "kelechibassey/kb-ao-hcdr-wk6-submission-notebook", "kernel_id": "55327073"}, {"ref": "kelechibassey/kb-ao-wk6-hcdr-xgboost-model-selection", "kernel_id": "55327971"}, {"ref": "ggaragiola/gwg-home-credit-default-risk-submission-04", "kernel_id": "55178865"}, {"ref": "ggaragiola/gwg-home-credit-v04", "kernel_id": "55092613"}, {"ref": "ggaragiola/gwg-hcdr-week-6-eda", "kernel_id": "55085160"}, {"ref": "ggaragiola/gwg-hcdr-week-7-eda", "kernel_id": "55638812"}, {"ref": "ggaragiola/gwg-hcdr-week-7-model-selection", "kernel_id": "55647128"}, {"ref": "ggaragiola/gwg-hcdr-week-7-sub", "kernel_id": "55726859"}, {"ref": "poojayadav0620/home-credit-py", "kernel_id": "55278891"}, {"ref": "bolouki/home-credit-default-risk-eda-and-model", "kernel_id": "56674552"}, {"ref": "kelechibassey/kb-ao-home-credit-default-risk-model-final", "kernel_id": "56264632"}, {"ref": "kelechibassey/kb-ao-home-credit-default-risk-project-portfolio", "kernel_id": "56282057"}, {"ref": "kelechibassey/kb-ao-home-credit-default-risk-final-submission", "kernel_id": "56277847"}, {"ref": "ggaragiola/gwg-hcdr-week8-data-aggregation", "kernel_id": "56202717"}, {"ref": "ggaragiola/gwg-hcdr-model-selection", "kernel_id": "56253216"}, {"ref": "buya99999/notebook-buya99999", "kernel_id": "57306072"}, {"ref": "hngcao/notebook4f071ee9ab", "kernel_id": "57594548"}, {"ref": "somashekar39/home-credit-v1", "kernel_id": "57348539"}, {"ref": "eminecansuakgul/catboost", "kernel_id": "57503225"}, {"ref": "bariscihanoglu/b2metric-catboost", "kernel_id": "57310233"}, {"ref": "bariscihanoglu/b2metric-ridge", "kernel_id": "57086375"}, {"ref": "cebrina/features-pos-cash-balance-open-solution", "kernel_id": "57007072"}, {"ref": "alinassermmohamed/explanatory-analysis-and-prediction-home-credit", "kernel_id": "58133220"}, {"ref": "dariagazkaeva/credit", "kernel_id": "58032679"}, {"ref": "yyr1210/home-credit-default-risk-part02-boosting-models", "kernel_id": "58911281"}, {"ref": "kagudon/home-credit-with-lightgbm", "kernel_id": "58855493"}, {"ref": "shuntaroniimi/tidy-xgb-all-tables-0-796", "kernel_id": "59324315"}, {"ref": "podmarev/home-credit-default-risk-using-randomforest", "kernel_id": "60728261"}, {"ref": "podmarev/home-credit-default-risk-using-xgboost", "kernel_id": "60733598"}, {"ref": "podmarev/home-credit-default-risk-using-lightgbm", "kernel_id": "60737327"}, {"ref": "prashant1/final1", "kernel_id": "62760486"}, {"ref": "shubhamchauhan22222/yh-cur-lightgbm-7th-place-solution", "kernel_id": "62092843"}, {"ref": "andeeoberosler/alo-home-credit-exploration-model-selection", "kernel_id": "62311589"}, {"ref": "andeeoberosler/alo-home-credit-submission", "kernel_id": "62555306"}, {"ref": "andeeoberosler/alo-home-credit-submission-v-2", "kernel_id": "62905421"}, {"ref": "andeeoberosler/alo-home-credit-eda-model-selection-v-2", "kernel_id": "62831229"}, {"ref": "mergerin/feature-engineering-find-outliers", "kernel_id": "62097033"}, {"ref": "andeeoberosler/alo-home-credit-submission-v-3", "kernel_id": "63430637"}, {"ref": "andeeoberosler/alo-home-credit-eda-model-selection-v-3", "kernel_id": "63424342"}, {"ref": "andeeoberosler/alo-home-credit-eda-model-selection-v-4", "kernel_id": "63478602"}, {"ref": "andeeoberosler/alo-home-credit-submission-v-4", "kernel_id": "63481843"}, {"ref": "mergerin/feature-engineering-encoding-scaling-techniques", "kernel_id": "63485304"}, {"ref": "phnglth/homecreditfinal", "kernel_id": "63544426"}, {"ref": "phnglth/exploratory-data-analysis", "kernel_id": "63077902"}, {"ref": "phnglth/creationfeature", "kernel_id": "63237181"}, {"ref": "phnglth/dashboarddataassembly", "kernel_id": "63243940"}, {"ref": "sviatoslavlevchenko/hillel-task7-knnclassification", "kernel_id": "63626244"}, {"ref": "sviatoslavlevchenko/hillel-task6logreg", "kernel_id": "63564342"}, {"ref": "anastasialaschishina/credit-bank", "kernel_id": "64809402"}, {"ref": "andeeoberosler/alo-home-credit-submission-v-5", "kernel_id": "64101759"}, {"ref": "andeeoberosler/alo-home-credit-eda-model-selection-v-5", "kernel_id": "64019780"}, {"ref": "andeeoberosler/alo-home-credit-final-model-selection", "kernel_id": "64730000"}, {"ref": "andeeoberosler/alo-home-credit-final-submission", "kernel_id": "64732004"}, {"ref": "andeeoberosler/alo-home-credit-submission-v-6", "kernel_id": "64602486"}, {"ref": "andeeoberosler/alo-home-credit-eda-model-selection-v-6", "kernel_id": "64598670"}, {"ref": "davidlkl/mafs5440-ling", "kernel_id": "65859588"}, {"ref": "edwardlam/mafs5440-lam-guo-kang-wang", "kernel_id": "65746706"}, {"ref": "steveheyilin/mafs5440-lin-notebook", "kernel_id": "65774086"}, {"ref": "hikimua/home-credit", "kernel_id": "65586861"}, {"ref": "xiaochangzhang/mafs5440-zhu-yang-wang-zhang", "kernel_id": "65664955"}, {"ref": "xiaochangzhang/home-credit-default-risk-extensive-eda", "kernel_id": "65665823"}, {"ref": "hkxlxy/mafs5440-sui-fan-wu-hu", "kernel_id": "65890180"}, {"ref": "hectorhan/mafs5440-song-shen-zhu-han", "kernel_id": "65894537"}, {"ref": "hiehie234/home-credit-2018-hiehie", "kernel_id": "65645455"}, {"ref": "yangsihan712/mafs5440-chen-shen-yang-zhu", "kernel_id": "65911698"}, {"ref": "fangwangyuzhou/mafs5440-mid-fang-wang-yu-zhou", "kernel_id": "65862907"}, {"ref": "sigmundau/mafs5440-au-singh-huang-leung", "kernel_id": "65894894"}, {"ref": "huiruyang02/mafs5440-fu-gao-wu-yang", "kernel_id": "65746495"}, {"ref": "shuyaopenny/mafs5440-zhang-shen-chen-peng", "kernel_id": "65894219"}, {"ref": "raka13123123/home-credit", "kernel_id": "66060562"}, {"ref": "raka13123123/notebook8150ae28df", "kernel_id": "66094767"}, {"ref": "manusk/manu-solution-xgboost-logistic-regression-rf-dnn", "kernel_id": "67223184"}, {"ref": "ethanwaters/predicting-loan-default-with-a-generalized-linear", "kernel_id": "67615748"}, {"ref": "aylore/home-credit", "kernel_id": "68561608"}, {"ref": "menahany1/notebook2c65eae8be", "kernel_id": "69933117"}, {"ref": "dustinbarton/db-home-credit-default-v01", "kernel_id": "69784669"}, {"ref": "dustinbarton/db-home-credit-default-exploration", "kernel_id": "69873587"}, {"ref": "s903124/base-model-with-0-804-auc-on-home-tabm", "kernel_id": "70546547"}, {"ref": "kloudnine/home-credit-default-risk", "kernel_id": "70193114"}, {"ref": "abi2255kk/pk-home-credit-default-risk-v3", "kernel_id": "70147768"}, {"ref": "dustinbarton/db-home-credit-default-submission-2", "kernel_id": "70294438"}, {"ref": "dustinbarton/db-home-credit-default-submission-3", "kernel_id": "70979229"}, {"ref": "camiloavendao/uexternado-xgboost", "kernel_id": "71882508"}, {"ref": "abi2255kk/pk-home-credit-default-risk-v4", "kernel_id": "71975069"}, {"ref": "dustinbarton/db-home-credit-default-submission-4", "kernel_id": "71881392"}, {"ref": "veerapapothu/vp-home-credit-default-risk-v2", "kernel_id": "71980063"}, {"ref": "veerapapothu/vp-home-credit-default-risk", "kernel_id": "71353838"}, {"ref": "szmao777/lgbm-bayes", "kernel_id": "72160027"}, {"ref": "alainskydom/projet-7-model", "kernel_id": "72999086"}, {"ref": "pauljkk/thesis-code-home-credit", "kernel_id": "72905499"}, {"ref": "abi2255kk/fork-of-pk-home-credit-default-risk-v4", "kernel_id": "72970107"}, {"ref": "janeesha210706h/home-credit-final", "kernel_id": "72540375"}, {"ref": "nguynngchiu1/home-credit-eda", "kernel_id": "72042157"}, {"ref": "dustinbarton/db-home-credit-default-submission-5", "kernel_id": "72458774"}, {"ref": "dustinbarton/db-home-credit-submission-final", "kernel_id": "72883293"}, {"ref": "veerapapothu/fork-of-vp-home-credit-default-risk-v3", "kernel_id": "72966396"}, {"ref": "aliciachen777/version1", "kernel_id": "72778765"}, {"ref": "aliciachen777/notebook9261140465", "kernel_id": "72794788"}, {"ref": "quanhoangtien/new-home", "kernel_id": "72957947"}, {"ref": "quanhoangtien/home-credit-default-risk", "kernel_id": "72930147"}, {"ref": "quanhoangtien/home-credit-random-forest", "kernel_id": "72974795"}, {"ref": "hanankhaledabouelela/notebookb64bc6b36f", "kernel_id": "73370264"}, {"ref": "hanankhaledabouelela/notebooka668b2f172", "kernel_id": "73877519"}, {"ref": "hanankhaledabouelela/notebook01aab09122", "kernel_id": "73879522"}, {"ref": "hanankhaledabouelela/notebooka590409aa4", "kernel_id": "73958338"}, {"ref": "kareemsalama/home-credit-default-risk", "kernel_id": "73971004"}, {"ref": "samuel0930/dalab-study-home-credit-defualt-project", "kernel_id": "73922457"}, {"ref": "emilygreen8/nlp-project", "kernel_id": "73047600"}, {"ref": "tofan2000/notebook-home-credit-default-risk", "kernel_id": "73985735"}, {"ref": "karimtaha0/hcdr-application-train", "kernel_id": "74116450"}, {"ref": "alexanderkireev/01-ml-trainings-tabs", "kernel_id": "75287551"}, {"ref": "jacobgreen4477/home-credit-default-risk", "kernel_id": "75774169"}, {"ref": "vladislavkiselev71/beware-of-categorical-features-in-lgbm", "kernel_id": "75412502"}, {"ref": "cosheimil/simple-baseline", "kernel_id": "75335914"}, {"ref": "ognjenmedic/home-credit-credit-card", "kernel_id": "75945939"}, {"ref": "ognjenmedic/home-credit-bureau-balance", "kernel_id": "75876381"}, {"ref": "ognjenmedic/home-credit-pos-cash", "kernel_id": "75894733"}, {"ref": "ognjenmedic/home-credit-previous-applications", "kernel_id": "75956582"}, {"ref": "ognjenmedic/home-credit-bureau", "kernel_id": "75818459"}, {"ref": "neuralodyssey/credit-baseline", "kernel_id": "75290277"}, {"ref": "swyampatel/intro-to-model-tuning-grid-and-random-search", "kernel_id": "75527382"}, {"ref": "cisco17/home-credit-default-risk-cisco", "kernel_id": "76882311"}, {"ref": "mehreenmubashar/credit-card-pre-processing", "kernel_id": "76849406"}, {"ref": "rizwanqq/notebookd964ea6d4d", "kernel_id": "76582036"}, {"ref": "vynguyntho/default-risk", "kernel_id": "76715787"}, {"ref": "huigovno/pimp-presentation", "kernel_id": "76102154"}, {"ref": "raeedalsabri/challenge-project-part-2-initial-modeling", "kernel_id": "76866117"}, {"ref": "ognjenmedic/home-credit-application-train", "kernel_id": "76267388"}, {"ref": "ognjenmedic/home-credit-application-test", "kernel_id": "76184971"}, {"ref": "ognjenmedic/home-credit-installments", "kernel_id": "76013168"}, {"ref": "ar33ba/challenge-pt2", "kernel_id": "76984383"}, {"ref": "hindabdalla/challenge-2-initial-modeling", "kernel_id": "76853389"}, {"ref": "alialdhubri/ali-aldhubri", "kernel_id": "76984573"}, {"ref": "alialdhubri/notebookf2e25d0b97", "kernel_id": "76989178"}, {"ref": "muhammadhanzlatahir/challenge-project-part-1-visual-analytics-prac-1", "kernel_id": "76600809"}, {"ref": "muhammadhanzlatahir/challenge-project-part-1-visual-analytics", "kernel_id": "76859432"}, {"ref": "jezabelsh/home-credit-default-risk", "kernel_id": "76539283"}, {"ref": "abdelilahourti/p4-nettoyage-donnes-home-credit-default-risk", "kernel_id": "76923385"}, {"ref": "abdelilahourti/p4-presentation-donnees", "kernel_id": "76906064"}, {"ref": "mehreenmubashar/challenge-project-part-2-initial-modelling", "kernel_id": "77070679"}, {"ref": "mehreenmubashar/challenge-project-part-2-attempt-2", "kernel_id": "77068640"}, {"ref": "rizwanqq/notebook2e1129ecbe", "kernel_id": "77039726"}, {"ref": "hiehie234/home-credit-2018-th-nh", "kernel_id": "77950441"}, {"ref": "asmarida/notebook940ce646c0", "kernel_id": "77144544"}, {"ref": "laythtesting/layth-abuarram-challenge2", "kernel_id": "77072382"}, {"ref": "laythtesting/challenge-project-part-2-initial-modeling-layth", "kernel_id": "77075333"}, {"ref": "alialdhubri/notebook1185f0ebd9", "kernel_id": "77832514"}, {"ref": "muhammadhanzlatahir/challenge-assignment-tbd", "kernel_id": "77755340"}, {"ref": "muhammadhanzlatahir/challenge-project-part-2-initial-modeling", "kernel_id": "77035022"}, {"ref": "khannoaman210088609/challenge2-210088609", "kernel_id": "77398139"}, {"ref": "rgict716/challenge-project-part-2-initial-modeling-rg", "kernel_id": "77393673"}, {"ref": "khaledhassiba/kh-hcdr-part2", "kernel_id": "77399795"}, {"ref": "rakeshnereduapalli/rn-home-credit-default-risk-v1", "kernel_id": "77619515"}, {"ref": "aldhubri/home-credit-2018-th-nh", "kernel_id": "78910030"}, {"ref": "mehreenmubashar/midterm-project", "kernel_id": "78322827"}, {"ref": "csmohamedayman/ml-catg-home-credit-default-risk", "kernel_id": "78746811"}, {"ref": "csmohamedayman/eda-tab-home-credit-default-risk", "kernel_id": "78742450"}, {"ref": "csmohamedayman/dl-catg-home-credit-default-risk", "kernel_id": "78748792"}, {"ref": "rizwanqq/notebookcd5a184be9", "kernel_id": "78046576"}, {"ref": "rizwanqq/challange-project-assignmet", "kernel_id": "78034945"}, {"ref": "rizwanqq/challenge-project", "kernel_id": "78029617"}, {"ref": "hananmohammad/data-processing", "kernel_id": "78786432"}, {"ref": "winfredmumbingure/intro-to-model-tuning-grid-and-random-search", "kernel_id": "78873154"}, {"ref": "kevinfff/math5470-fan", "kernel_id": "78662801"}, {"ref": "efekaraw/homecredit-default-risk", "kernel_id": "78651456"}, {"ref": "mosammo/eda-prediction", "kernel_id": "78222982"}, {"ref": "hindabdalla/maximizing-model-accuracy-challenge", "kernel_id": "78507441"}, {"ref": "laythtesting/challenge-project-layth-abuarram", "kernel_id": "78915120"}, {"ref": "laythtesting/homecredit-default-risk", "kernel_id": "78922960"}, {"ref": "laythtesting/goooooooood-79-1", "kernel_id": "78923797"}, {"ref": "laythtesting/home-credit-default-risk-layth-abuarram", "kernel_id": "78946727"}, {"ref": "alialdhubri/home-credit-default-risk-layth-abuarram", "kernel_id": "78986634"}, {"ref": "alialdhubri/home-credit-default-risk-ali-aldhubri", "kernel_id": "78909318"}, {"ref": "khannoaman210088609/notebookdec73dab73", "kernel_id": "78368219"}, {"ref": "mashepard/mas-home-credit-default-week-one", "kernel_id": "79156384"}, {"ref": "mashepard/mark-shepard-competition-submission-2-week-4", "kernel_id": "79739093"}, {"ref": "a7lia8del/home-credit-risk-ml-modeling", "kernel_id": "79769853"}, {"ref": "raeedalsabri/challenge-project", "kernel_id": "79117126"}, {"ref": "ar33ba/challenge-final", "kernel_id": "79094422"}, {"ref": "asmarida/notebookfe24d75517", "kernel_id": "79096256"}, {"ref": "rgict716/challenge-project-midterm-final-rg", "kernel_id": "79088612"}, {"ref": "mauromahassa/credit-info-analysis-eda-method", "kernel_id": "79634705"}, {"ref": "rakeshnereduapalli/rn-home-credit-default-risk-v2", "kernel_id": "79094232"}, {"ref": "bataraharyoyudanto/tugas-group-project-kelompok-2", "kernel_id": "79227895"}, {"ref": "dingdingust/math5470-ding-zhang-gao-zhao", "kernel_id": "79113628"}, {"ref": "ozgurba/b2m-t4", "kernel_id": "80437215"}, {"ref": "bethgitau/credit-analysis", "kernel_id": "80661474"}, {"ref": "adilk6/home-credit-default-merge", "kernel_id": "80466634"}, {"ref": "abdelrhmandemo/halan-hcdr-eda", "kernel_id": "80911959"}, {"ref": "dengschwa/5046a4llm", "kernel_id": "80012514"}, {"ref": "rakeshnereduapalli/rn-home-credit-default-risk-v3", "kernel_id": "80703866"}, {"ref": "xiaohengma/math5470-hu-zhang-liu-ma", "kernel_id": "80964042"}, {"ref": "willowens/loan-default-prediction", "kernel_id": "81554561"}, {"ref": "cacaoy/start-here-a-gentle-introduction", "kernel_id": "81425733"}, {"ref": "mashepard/mas-week7-submission", "kernel_id": "81014305"}, {"ref": "mashepard/mas-week8-final-submission", "kernel_id": "81803112"}, {"ref": "abdelrhmandemo/home-credit-default-risk-lgbm", "kernel_id": "81053800"}, {"ref": "mhmdrazn/tgp-2", "kernel_id": "81918689"}, {"ref": "gspeter/home-credit-default-risk-competition-ipynb", "kernel_id": "81939942"}, {"ref": "soumyabasuri/notebookb450051824", "kernel_id": "82093478"}, {"ref": "florezz16/capstone-may-5", "kernel_id": "82231378"}, {"ref": "mohamedtarekafifi/notebook6e07ea4e32", "kernel_id": "82522631"}, {"ref": "lelyzain57/bigdatapoject-zain160201", "kernel_id": "82820542"}, {"ref": "mrkdagods/notebook6e07ea4e32", "kernel_id": "82513593"}, {"ref": "mauromahassa/credit-information-learning", "kernel_id": "82568105"}, {"ref": "paulharrald/credit-scoring", "kernel_id": "82331098"}, {"ref": "rakshitgodara/home-credit-default-risk", "kernel_id": "83063306"}, {"ref": "tramlevobao/notebook20b2025e3c", "kernel_id": "83454617"}, {"ref": "tramlevobao/notebook9bcf177bc3", "kernel_id": "83470970"}, {"ref": "tramlevobao/data-cleaning-install-payment-credit-card-balance", "kernel_id": "83465597"}, {"ref": "tramlevobao/notebook074927931c", "kernel_id": "83473434"}, {"ref": "hanankhaledabouelela/notebooke5202555fa", "kernel_id": "83600647"}, {"ref": "hanankhaledabouelela/notebookbb517db6fd", "kernel_id": "83633072"}, {"ref": "kiet21042003/home-credit-fe-final-target-encoding", "kernel_id": "83291063"}, {"ref": "thekartikdwivedi/credit-info-analysis-eda-method", "kernel_id": "83648164"}, {"ref": "minhnguyenduc37/hcd-eda", "kernel_id": "83778354"}, {"ref": "paulharrald/credit-scoring-1", "kernel_id": "83872159"}, {"ref": "ahmedmostafaattiaaa/finaldatacleaning-fe-and-modeling-logisticreg", "kernel_id": "84616940"}, {"ref": "ahmedmostafaattiaaa/cleaning-fe-modelinglogreg", "kernel_id": "84621564"}, {"ref": "machucacruzomar/homecreditpredict", "kernel_id": "84207991"}, {"ref": "ryotarofujiwara/ai-project", "kernel_id": "84816619"}, {"ref": "mnhnguynhuy/homecredit", "kernel_id": "85171858"}, {"ref": "lesangctf/notebook-mas-group-5", "kernel_id": "85744364"}, {"ref": "yomnamuhammad/yomnas-home-credit-default-risk-project", "kernel_id": "86518979"}, {"ref": "ahmedadell30/home-credit-end-to-end", "kernel_id": "86646003"}, {"ref": "thespecialyoe/youssef-emad-aman-nexus-challenge-credit-risk", "kernel_id": "86646547"}, {"ref": "yaraeassa/challenge-submission-yara", "kernel_id": "86488824"}, {"ref": "mahabualahiatik/credit-default-risk-ensemble-ml-and-tabnet", "kernel_id": "86158302"}, {"ref": "cindyzacarias/16-credit-information-learning", "kernel_id": "86796142"}, {"ref": "sutariyasmit01/home-credit-default-risk", "kernel_id": "86456818"}, {"ref": "nursultannurtay/home-credit-default-risk-eda-ml-prediction", "kernel_id": "87340707"}, {"ref": "piyushdas2004/home-credit-risk", "kernel_id": "87067392"}, {"ref": "jawhersadok01/gradient-boosting-machines", "kernel_id": "87049758"}, {"ref": "samad0015/loan-default-risk-with-business-cost-optimization", "kernel_id": "87749014"}, {"ref": "okandeniz/home-credit-default-risk", "kernel_id": "88500009"}, {"ref": "kaustubhgondkar/home-credit-risk", "kernel_id": "88524301"}, {"ref": "derickndzi/dn-home-credit-fe-final-target-encoding", "kernel_id": "88417137"}, {"ref": "kristiangohibi/home-credit-default-risk-challeng", "kernel_id": "89465665"}, {"ref": "antonglushko1/notebook20342e211f", "kernel_id": "89903983"}, {"ref": "derickndzi/dn-home-credit-default-risk", "kernel_id": "89857266"}, {"ref": "jonaslosh/credit-risk-prediction", "kernel_id": "91016145"}, {"ref": "khushitz329/stock-analysis", "kernel_id": "93584564"}, {"ref": "capecrusader27/alda-no-data-leakage", "kernel_id": "94538394"}, {"ref": "nicksonsone/home-credit", "kernel_id": "95087764"}, {"ref": "josephrynkiewicz/demo-home-credit-default-risk", "kernel_id": "95954766"}, {"ref": "jiaruixiong/mafs5440-wang-li-yang-xiong", "kernel_id": "95390742"}, {"ref": "yujinzhou/lighgbm-with-selected-features", "kernel_id": "95458133"}, {"ref": "hcuiah/math5470-cui-huang-zheng-wang", "kernel_id": "95334158"}, {"ref": "adnankhankhan/home-credit-default-risk", "kernel_id": "95699121"}, {"ref": "bakhtiyartemirov/math5470-huang-temirov", "kernel_id": "95512246"}, {"ref": "kedengq/mafs5440-jiang-song-wan-qiu", "kernel_id": "95658140"}, {"ref": "lebesgue9527/midterm", "kernel_id": "96885941"}, {"ref": "chintanshukla/cs-home-credit-eda-02", "kernel_id": "97900975"}, {"ref": "chintanshukla/cs-home-credit-training-01", "kernel_id": "98240727"}, {"ref": "chiyoko/notebook300f04210b", "kernel_id": "98240700"}, {"ref": "ryusukeurabe/urab-home-credit", "kernel_id": "98956727"}, {"ref": "chintanshukla/cs-home-credit-training-dt-gb-01", "kernel_id": "100738044"}, {"ref": "nithin0405/base-model", "kernel_id": "101491070"}, {"ref": "chintanshukla/cs-home-credit-submission", "kernel_id": "102263155"}, {"ref": "elodiezay/home-credit-default-risk", "kernel_id": "103658773"}, {"ref": "gylforederfatalist/lightautoml-ivanvereshchagin1", "kernel_id": "103881880"}, {"ref": "dukezhu/home-credit-default-risk-notebook", "kernel_id": "103014628"}, {"ref": "elodiezay/fork-of-home-credit-default-risk20-hanh-update", "kernel_id": "104626228"}, {"ref": "hengamehrashtiani/dataha", "kernel_id": "104375847"}, {"ref": "mithunaprince/home-credit-default-risk", "kernel_id": "104838963"}, {"ref": "hengamehrashtiani/lg-gnn1", "kernel_id": "105324106"}, {"ref": "dickyramadn/credit-scoring", "kernel_id": "105423046"}, {"ref": "ferariz/similarity-graphs-don-t-beat-lightgbm", "kernel_id": "106601270"}, {"ref": "evgendvorkin/home-credit-default-risk-0-77364-privat", "kernel_id": "106090956"}, {"ref": "buynaakhuyag/credit-risk", "kernel_id": "106751193"}, {"ref": "floser/binary-classification-readmission-solution", "kernel_id": "107971059"}, {"ref": "diuthyl/home-credit-default-risk-practice", "kernel_id": "107277869"}, {"ref": "muthupalaniappan925/home-credit-project", "kernel_id": "107026822"}, {"ref": "trungtrch/home-credit-default-risk", "kernel_id": "107847840"}, {"ref": "ujjwalsharma31/baseline-credit-risk-scoring-system", "kernel_id": "107517560"}, {"ref": "ujjwalsharma31/bureau-optimized-credit-risk-scoring-system", "kernel_id": "107575563"}, {"ref": "ryotarofujiwara/ft-transformer", "kernel_id": "107249364"}, {"ref": "demirkadir04/featureengineering-1", "kernel_id": "107811319"}, {"ref": "laanani92/home-credit-default-risk-visualization-assignment", "kernel_id": "108513808"}, {"ref": "sajnatasneem/midterm-chlg1", "kernel_id": "108910021"}, {"ref": "ujjwalsharma31/prev-application-bureau-credit-risk-scoring", "kernel_id": "108312324"}, {"ref": "quaidiqbal11/mid-term-project-1-challenge-option-quaid-iqbal", "kernel_id": "108696415"}, {"ref": "alishahroor34060/mid-term-project-1", "kernel_id": "108901987"}, {"ref": "exceed73/home-credit-dr-spanish", "kernel_id": "109627018"}, {"ref": "exceed73/home-credit-default-risk-spanish-2", "kernel_id": "109637820"}, {"ref": "tahamerzouki/notebook08fde48e74", "kernel_id": "109695832"}, {"ref": "mizo25/csv-file-generation", "kernel_id": "109598506"}, {"ref": "preksha14/notebook6112c10ef2", "kernel_id": "109724614"}, {"ref": "youssefyasserelsayed/credit-risk-prediction-system", "kernel_id": "109574660"}, {"ref": "oumaimabeldi28/rule-engine-example", "kernel_id": "109038943"}, {"ref": "athilaarchanji/home-credit-default-risk", "kernel_id": "109263368"}, {"ref": "johngearonline/home-credit-default-risk-johngear", "kernel_id": "109983518"}, {"ref": "laanani92/home-credit-midterm-project", "kernel_id": "110659567"}, {"ref": "python4sp/1-home-credit-default-risk", "kernel_id": "110493887"}, {"ref": "akshattudamwar/home-credit-default-risk", "kernel_id": "110746847"}, {"ref": "lomeshsonkeshriya23/notebook3d44ce27d6", "kernel_id": "110195193"}, {"ref": "quaidiqbal11/project-challenge-option-feature-engineering", "kernel_id": "110784327"}, {"ref": "alishahroor34060/introduction-to-manual-feature-engineering", "kernel_id": "110976498"}, {"ref": "moab89726/midterm-p2-challenge", "kernel_id": "110225362"}, {"ref": "qrqtrqt/midterm-part2-challenge", "kernel_id": "110175194"}, {"ref": "kyosukenakamura/home-credit-default-risk-pycaret-h2o", "kernel_id": "111101346"}, {"ref": "rafi002/home-credit-gbm-model", "kernel_id": "111319940"}, {"ref": "vijay20213/credit-risk-model-building", "kernel_id": "111585159"}, {"ref": "sajnatasneem/midterm-part2", "kernel_id": "111241026"}, {"ref": "vanyqii/cp3403-data-mining-project-fan-yiqi", "kernel_id": "111711104"}, {"ref": "quaidiqbal11/midterm-project-challenge-option-quaid-iqbal", "kernel_id": "111690546"}, {"ref": "dmitriipiskalov/homecreditdefaultrisk", "kernel_id": "111965050"}, {"ref": "jalesummak/home-credit-default-risk", "kernel_id": "111643108"}, {"ref": "alishahroor34060/notebook4968c95cd8", "kernel_id": "111314472"}, {"ref": "rafah7/mtp-p2", "kernel_id": "111345003"}, {"ref": "qrqtrqt/midterm-challenge", "kernel_id": "111505748"}, {"ref": "qrqtrqt/midterm-project-challenge-option", "kernel_id": "111505297"}, {"ref": "sajnatasneem/mid-challng-final", "kernel_id": "112216509"}, {"ref": "sajnatasneem/challenge2-mdtm", "kernel_id": "112254748"}, {"ref": "jalkuwari/home-credit-default-risk-v6", "kernel_id": "112104053"}, {"ref": "vanyqii/cp3403-project-fan-yiqi", "kernel_id": "112450215"}, {"ref": "qrqtrqt/midterm-challenge-option", "kernel_id": "112125059"}, {"ref": "auroraaa12/cp3403-5634-project-v2025a-a93f11", "kernel_id": "113679503"}, {"ref": "swanhtetzaw02/cp3403-5634-project-v2025a-a007ce", "kernel_id": "113562388"}, {"ref": "zhaoj0273/cp3403-5634-project-v2025a", "kernel_id": "113934065"}, {"ref": "rahulbalasani/notebookd5b9763fea", "kernel_id": "113968581"}, {"ref": "suvroo/explainable-credit-risk-modeling-with-schduling", "kernel_id": "114082738"}, {"ref": "swanhtetzaw02/cp3403-5634-project-v2025a-swanhtetzaw", "kernel_id": "114755304"}, {"ref": "clydew1230/home-credit-default-risk-modelling-using-xgboost", "kernel_id": "114666795"}, {"ref": "ahmetfurkancayirtepe/thesis-eda-feature-engineering", "kernel_id": "115939731"}, {"ref": "mustafaoun/home-credit-default-risk-end-to-end-ml-pipeline", "kernel_id": "115966068"}, {"ref": "iamsoumyodeep/retail-credit-risk-default-prediction", "kernel_id": "115350728"}, {"ref": "hildlawliet/home-credit-default-risk", "kernel_id": "115488875"}, {"ref": "rikansaha/credit-risk-ecl-modeling-using-pyspark", "kernel_id": "116917808"}, {"ref": "abdallahwael22/ml-project", "kernel_id": "116780257"}, {"ref": "naveedsoomro/end-to-end-credit-default-prediction", "kernel_id": "116831630"}, {"ref": "omkadam05/loan-default-prediction", "kernel_id": "116500278"}, {"ref": "azumayoshiki/notebook414a2edb4b", "kernel_id": "116160160"}, {"ref": "kanina666/notebookc255f70ea3", "kernel_id": "117045115"}, {"ref": "joanapie412/credit-default-risk", "kernel_id": "117407520"}, {"ref": "postfoxes/npl-analysis-home-credit-default-risk", "kernel_id": "118781119"}, {"ref": "shawnazd/loan-approval-prediction", "kernel_id": "118607284"}, {"ref": "estefaniamarcel/credit-risk-analysis", "kernel_id": "118610248"}, {"ref": "lion128/notebook0e89fc992b", "kernel_id": "119382081"}, {"ref": "gadaelectronics/edi-2", "kernel_id": "119702606"}, {"ref": "sukara63/notebook6e9e4ef103", "kernel_id": "119463016"}, {"ref": "nminhieu/notebook5529a38fa2", "kernel_id": "120328827"}, {"ref": "lucalullo/home-credit-default-risk", "kernel_id": "120420787"}, {"ref": "bellrose/jm-first-project", "kernel_id": "120584289"}, {"ref": "snghtuyt/ph-n-t-ch-m-t-home-credit-default-risk", "kernel_id": "120299121"}, {"ref": "cristianmacias31/home-credit-risk", "kernel_id": "120041222"}, {"ref": "mengyu96/notebook5633c4c3a4", "kernel_id": "120490845"}, {"ref": "vijay20213/automated-feature-selection-for-credit-risk-model", "kernel_id": "121180800"}, {"ref": "byrontannify/home-credit-solution-cn", "kernel_id": "121731796"}, {"ref": "luisfelipevendramim/lightgbm-to-home-credit-default-risk", "kernel_id": "121328720"}, {"ref": "chadwick2024/start-here-a-gentle-introduction", "kernel_id": "121824983"}, {"ref": "darammanoharreddy/credit-default-risk-eda-prediction", "kernel_id": "121116247"}, {"ref": "alessandratorrescam/proyecto-emergente-l-soriano-y-a-torres", "kernel_id": "121043506"}, {"ref": "velsoly/00001", "kernel_id": "121641172"}, {"ref": "nicknikhil/home-credit-risk", "kernel_id": "122721012"}, {"ref": "yancy0420/notebookf5c3be681a", "kernel_id": "122238886"}, {"ref": "zorornoa/home-credit-analysis", "kernel_id": "122350991"}, {"ref": "mariammohamed1095/home-credit-default-risk", "kernel_id": "122827930"}, {"ref": "sail0406/load-data-reduce-memory-usage-updated", "kernel_id": "122713594"}, {"ref": "devs69/home-credit-risk-full-history-lightgbm", "kernel_id": "122675269"}, {"ref": "phmththuvn/ascore-gmsc", "kernel_id": "123064265"}, {"ref": "eminmanov/homecreditdefaultrisk", "kernel_id": "123241656"}, {"ref": "deepaksacso/notebookf8a542558b", "kernel_id": "123405375"}, {"ref": "vmq2801/home-credit-credit-risk-portfolio-analysis", "kernel_id": "123392763"}, {"ref": "asmarufoglu/risk-based-credit-application-policy-from-predict", "kernel_id": "124211839"}, {"ref": "hoyongj/cmpt310-260621", "kernel_id": "124257304"}, {"ref": "mella123/notebooke8ee1d992c", "kernel_id": "124325106"}, {"ref": "snghtuyt/giai-o-n-2-historical-data-time-windows", "kernel_id": "124449433"}, {"ref": "snghtuyt/giai-o-n-1-feature-engineering", "kernel_id": "124442220"}, {"ref": "shahmeerkhan06/cmpt310-260621-f7f9d1", "kernel_id": "124433184"}, {"ref": "zuieronghui/notebook84da8527c1", "kernel_id": "125486587"}, {"ref": "snghtuyt/giai-o-n-2-b-sung", "kernel_id": "125903032"}, {"ref": "snghtuyt/giai-o-n-5-t-i-u-h-a-h-n-m-c-ng-b-ng-h-c-t-ng", "kernel_id": "125926003"}, {"ref": "samanthagan/cmpt310-260621", "kernel_id": "125226730"}, {"ref": "renisaassyifaputri/preprocessing-modeling-acs-ejavec2026-week-2", "kernel_id": "126921723"}, {"ref": "mitgajera/eda-application-train", "kernel_id": "126036829"}, {"ref": "snghtuyt/fork-of-giai-o-n-5-t-i-u-h-a-h-n-m-c-ng-b-ng", "kernel_id": "126107793"}, {"ref": "snghtuyt/giai-o-n-5-t-i-u-h-a-t-l-ph-duy-t-gi-i-ng-n", "kernel_id": "126125645"}, {"ref": "malekdhaouadi/stage-pr-diction-de-risque-de-cr-dit", "kernel_id": "127468369"}, {"ref": "cieloselene/notebookd36623dfef", "kernel_id": "127944855"}, {"ref": "perreynolds/home-credit-week-4-modeling", "kernel_id": "128707180"}, {"ref": "renisaassyifaputri/preprocessing-modeling-acs-ejavec2026-week-2-fixed", "kernel_id": "128130628"}, {"ref": "lycialiu/home-credit-default-risk", "kernel_id": "128961603"}, {"ref": "s2411607/notebookf194c1ac50", "kernel_id": "128460815"}, {"ref": "carlacana/application-train-imputation-guide-and-pca", "kernel_id": "128536471"}, {"ref": "shahmeerkhan06/cmpt310-260621-dbcc2e", "kernel_id": "128858869"}, {"ref": "perreynolds/home-credit-week-5-feature-engineering", "kernel_id": "129502638"}, {"ref": "aidenkwak/home-credit-lgb-xgb-cat-ensemble", "kernel_id": "129958688"}, {"ref": "vunhattuongvan/home-credit-full-pipeline", "kernel_id": "129439406"}, {"ref": "gachau007/amcrs-credit-scoring-framework", "kernel_id": "129092101"}, {"ref": "muhamadgyasilkiawan/home-credit-default-risk", "kernel_id": "129525981"}, {"ref": "yuseiyoshida/home-credit-default-risk-extensive-eda", "kernel_id": "129241092"}, {"ref": "perreynolds/home-credit-week-7-installment-payment-history", "kernel_id": "130974745"}, {"ref": "vancock204/credit-dynamic-analysis", "kernel_id": "130049794"}, {"ref": "sauravsingh184/home-credit-risk-portfolio-strategy-python-sql", "kernel_id": "130509618"}, {"ref": "chwegum/home-credit", "kernel_id": "130391484"}, {"ref": "perreynolds/home-credit-default-risk-final-capstone", "kernel_id": "131585960"}, {"ref": "ashishkumar7819/05-evalution-comparision", "kernel_id": "131973980"}, {"ref": "ashishkumar7819/home-credit-risk-project-01-eda", "kernel_id": "131940252"}, {"ref": "ashishkumar7819/home-credit-risk-02-preprocessing", "kernel_id": "131944549"}, {"ref": "ashishkumar7819/home-credit-risk-project-03-ml-training", "kernel_id": "131947953"}, {"ref": "ashishkumar7819/04-dl-training", "kernel_id": "131967507"}, {"ref": "amritjahjadi/home-credit-initial-eda", "kernel_id": "131016273"}, {"ref": "amritjahjadi/home-credit-log-regression-xgboost", "kernel_id": "131285002"}, {"ref": "sym132137/home-risk", "kernel_id": "132878698"}, {"ref": "sunnykumar001/house-loan", "kernel_id": "132419594"}, {"ref": "ayaabdalsalam/start-here-a-gentle-introduction", "kernel_id": "133365998"}, {"ref": "rnanda1976/notebook8dfc74545c", "kernel_id": "133002180"}, {"ref": "tasneem33355/notebooke1f61d824c", "kernel_id": "133227917"}, {"ref": "jitheshbhatjithu/credit-card-fraud-detection", "kernel_id": "133971849"}, {"ref": "dorky1/supervised-ml-assignment-4", "kernel_id": "134045446"}, {"ref": "cngnguy3413/btl-machine-learning", "kernel_id": "134592874"}, {"ref": "praveensiddh/credit-risk-pd-model-logistic-woe-vs-xgboost", "kernel_id": "135802403"}, {"ref": "chuminhhin/x-l-data", "kernel_id": "135623901"}, {"ref": "chuminhhin/fork-of-x-l-data-ml", "kernel_id": "135788134"}, {"ref": "archithareddym/home-credit-default-risk-kaggle2", "kernel_id": "135333138"}, {"ref": "davidruthishkambham/notebookc3394eeb59", "kernel_id": "135117429"}, {"ref": "lakshmisrivalli5/home-credit", "kernel_id": "135622024"}, {"ref": "uv0xii/home-credit-default-risk-baseline", "kernel_id": "135195313"}, {"ref": "ashrakatradwan/notebook7f3bb43630", "kernel_id": "135254501"}]}
{"competition_id": "9121", "kernels": []}
{"competition_id": "9129", "kernels": []}
{"competition_id": "9131", "kernels": []}
{"competition_id": "9133", "kernels": []}
{"competition_id": "9138", "kernels": []}
{"competition_id": "9139", "kernels": []}
{"competition_id": "9140", "kernels": []}
{"competition_id": "9141", "kernels": []}
{"competition_id": "9143", "kernels": []}
{"competition_id": "9144", "kernels": []}
{"competition_id": "9145", "kernels": []}
{"competition_id": "9146", "kernels": []}
{"competition_id": "9149", "kernels": []}
{"competition_id": "9150", "kernels": []}
{"competition_id": "9170", "kernels": []}
{"competition_id": "9181", "kernels": []}
{"competition_id": "9182", "kernels": [{"ref": "ilivans/12-features-kde-0-967-lb", "kernel_id": "902690"}]}
{"competition_id": "9188", "kernels": []}
{"competition_id": "9196", "kernels": [{"ref": "ninamalyar/molhack-predictive-docking-challenge", "kernel_id": "58393494"}]}
{"competition_id": "9198", "kernels": []}
{"competition_id": "9199", "kernels": []}
{"competition_id": "9209", "kernels": []}
{"competition_id": "9224", "kernels": []}
{"competition_id": "9232", "kernels": []}
{"competition_id": "9254", "kernels": []}
{"competition_id": "9256", "kernels": []}
{"competition_id": "9266", "kernels": [{"ref": "wickedsunnyv801/k-means-code-used-here", "kernel_id": "824268"}]}
{"competition_id": "9284", "kernels": [{"ref": "rajat12345/kerneld1422869fb", "kernel_id": "912834"}]}
{"competition_id": "9289", "kernels": []}
{"competition_id": "9300", "kernels": [{"ref": "kashnitsky/assignment-and-first-baseline", "kernel_id": "834080"}, {"ref": "razonrus/eda-flight-delays", "kernel_id": "889599"}, {"ref": "onotole/eda-flight-delays", "kernel_id": "857837"}, {"ref": "drgilermo/simple-lightgbm", "kernel_id": "1520204"}, {"ref": "thomsshmims/fork-of-nature-of-flight-delays-eda", "kernel_id": "1633402"}, {"ref": "nktklsvf/assignment-10-gradient-boosting-and-flight-delays", "kernel_id": "8317814"}, {"ref": "stanislaukorkuts/kernel77b9c4c41f", "kernel_id": "10459876"}, {"ref": "kashikatyagi/predict-flight-delays-using-gradient-boosting", "kernel_id": "11121293"}, {"ref": "wacholder000/catboost-parameter-tuning-feat-imporance", "kernel_id": "12558252"}, {"ref": "artemyukhnevich/notebook02b2e34d90", "kernel_id": "15054529"}, {"ref": "davidinojosa/notebookea4538358a", "kernel_id": "17320327"}, {"ref": "mostafasa3d/flight-delays", "kernel_id": "25937585"}, {"ref": "eemguzman/eflightdelaypractice", "kernel_id": "33118883"}, {"ref": "ekaterinaandreichuk/flight-delays-mine", "kernel_id": "34624270"}, {"ref": "lucasborgesdalcin/lbd2-cesar-school", "kernel_id": "46424039"}, {"ref": "artemy228/flight-74-2", "kernel_id": "50536771"}, {"ref": "fatihb/feature-engineering-for-cyclical-variables", "kernel_id": "51411945"}, {"ref": "lewiscross/flight-delays-classification-wip", "kernel_id": "63119768"}, {"ref": "vuvanthanh/thanhabc", "kernel_id": "89969793"}, {"ref": "khanh8888/notebook2e69c97718", "kernel_id": "89989696"}, {"ref": "dk13nnn/dk13n", "kernel_id": "89991031"}]}
{"competition_id": "9301", "kernels": [{"ref": "juliaelliott/starter-kernel-yt8m-2018-sample-data", "kernel_id": "980128"}, {"ref": "mihaskalic/training-video-level-classifier-with-keras", "kernel_id": "1033427"}, {"ref": "abimannan/youtube-2m", "kernel_id": "1209162"}, {"ref": "amitkumarjaiswal/google-youtube-1st-try", "kernel_id": "1018297"}, {"ref": "ozlemy/download-training-videos-for-windows", "kernel_id": "1222332"}, {"ref": "amansrivastava/exploration-bi-lstm-model", "kernel_id": "1112428"}, {"ref": "ashishpatel26/youtube-8m-dataset-using-extratreesclassifier", "kernel_id": "1112643"}, {"ref": "jameschien/newbie-easy-way-for-loading-video-frame-tfrecord", "kernel_id": "1306946"}, {"ref": "machineheart/the-tools-of-import-data", "kernel_id": "1203260"}, {"ref": "artyomp/a-fixed-download-script", "kernel_id": "1063278"}, {"ref": "ayoubchebbi/youtube-8m-analytics", "kernel_id": "1049788"}, {"ref": "plumeria/8m-video-understanding-challenge", "kernel_id": "1346285"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "anirudh257/exploration-bi-lstm-model-by-aman-srivasthava", "kernel_id": "3537196"}, {"ref": "duboviy/starter-kernel-yt8m-2018-sample-data", "kernel_id": "9132401"}, {"ref": "lasyaedunuri/starter-kernel-yt8m-2019-sample-data", "kernel_id": "72135330"}]}
{"competition_id": "9311", "kernels": []}
{"competition_id": "9313", "kernels": []}
{"competition_id": "9318", "kernels": []}
{"competition_id": "9357", "kernels": []}
{"competition_id": "9359", "kernels": []}
{"competition_id": "9372", "kernels": []}
{"competition_id": "9378", "kernels": []}
{"competition_id": "9381", "kernels": []}
{"competition_id": "9388", "kernels": []}
{"competition_id": "9389", "kernels": []}
{"competition_id": "9390", "kernels": []}
{"competition_id": "9404", "kernels": []}
{"competition_id": "9405", "kernels": [{"ref": "svendegroeve/basic-script", "kernel_id": "954009"}]}
{"competition_id": "9412", "kernels": []}
{"competition_id": "9422", "kernels": []}
{"competition_id": "9430", "kernels": [{"ref": "sc0d3r/kernelb7af7335a5", "kernel_id": "889663"}, {"ref": "kashnitsky/pytorch-simple-convnet-baseline-gpu", "kernel_id": "1015888"}, {"ref": "shihabshahriar/cifar-10-using-pytorch-1-0", "kernel_id": "2556601"}, {"ref": "skhadirahmed/pytorch-simple-cnn-cifar-10", "kernel_id": "2345778"}, {"ref": "fishercht/pytorch-simple-convnet-baseline-gpu", "kernel_id": "12522222"}]}
{"competition_id": "9435", "kernels": []}
{"competition_id": "9453", "kernels": []}
{"competition_id": "9461", "kernels": []}
{"competition_id": "9465", "kernels": []}
{"competition_id": "9473", "kernels": []}
{"competition_id": "9474", "kernels": []}
{"competition_id": "9475", "kernels": []}
{"competition_id": "9491", "kernels": []}
{"competition_id": "9498", "kernels": []}
{"competition_id": "9501", "kernels": [{"ref": "priyanshutulithapar/action-classification-using-rnn", "kernel_id": "12975056"}, {"ref": "sahilgarg3521/sahil-101703460-coe21", "kernel_id": "13135884"}, {"ref": "dishask99/notebook0a76710a7f", "kernel_id": "13097597"}, {"ref": "bhumikagoyal/notebook525cd28b3b", "kernel_id": "13108418"}, {"ref": "dakshi22/notebook0a76710a7f", "kernel_id": "13106295"}, {"ref": "mkumarbe17/actionclassfication", "kernel_id": "13100831"}]}
{"competition_id": "9511", "kernels": []}
{"competition_id": "9534", "kernels": []}
{"competition_id": "9538", "kernels": []}
{"competition_id": "9547", "kernels": [{"ref": "mikeghen/merging-data-sets-with-pandas", "kernel_id": "924009"}]}
{"competition_id": "9550", "kernels": []}
{"competition_id": "9560", "kernels": []}
{"competition_id": "9568", "kernels": [{"ref": "eamanu/understanding-dataset-help-needed", "kernel_id": "937555"}]}
{"competition_id": "9571", "kernels": []}
{"competition_id": "9590", "kernels": []}
{"competition_id": "9618", "kernels": []}
{"competition_id": "9619", "kernels": []}
{"competition_id": "9627", "kernels": []}
{"competition_id": "9664", "kernels": []}
{"competition_id": "9671", "kernels": []}
{"competition_id": "9688", "kernels": []}
{"competition_id": "9690", "kernels": []}
{"competition_id": "9701", "kernels": []}
{"competition_id": "9702", "kernels": []}
{"competition_id": "9703", "kernels": []}
{"competition_id": "9715", "kernels": []}
{"competition_id": "9717", "kernels": [{"ref": "jughead/find-all-similar-rows-and-similar-columns-in-data", "kernel_id": "1317150"}, {"ref": "shravankoninti/pca-pls-rf-my-first-kaggle", "kernel_id": "1206283"}, {"ref": "titericz/winner-model-giba-single-xgb-lb0-5178", "kernel_id": "1576896"}, {"ref": "titericz/giba-countvectorizer-d-lb-1-43", "kernel_id": "1284394"}, {"ref": "titericz/the-property-by-giba", "kernel_id": "1305741"}, {"ref": "vykhand/get-better-feature-names-and-some-mini-eda", "kernel_id": "1231025"}, {"ref": "volker48/xgboost-custom-rmsle-eval-function", "kernel_id": "1177170"}, {"ref": "sudalairajkumar/simple-exploration-baseline-santander-value", "kernel_id": "1170536"}, {"ref": "kailex/santander-eda-features", "kernel_id": "1197565"}, {"ref": "kailex/xgb-features-1-4", "kernel_id": "1173244"}, {"ref": "danofer/baseline-lightgbm-model-1-48lb", "kernel_id": "1173357"}, {"ref": "danofer/ensembling", "kernel_id": "1216914"}, {"ref": "huibers/visualizing-differences-between-test-and-train", "kernel_id": "1483816"}, {"ref": "ianlini/leaks-with-non-zero-log1p-mean-0-54984-0-60496", "kernel_id": "1493420"}, {"ref": "ianlini/find-the-data-leak-from-scratch", "kernel_id": "1477323"}, {"ref": "ianlini/combine-leak-and-multiple-ml-prediction-0-47-pub", "kernel_id": "1485616"}, {"ref": "rsakata/21st-place-solution-bug-fixed-private-0-52785", "kernel_id": "1488841"}, {"ref": "adarshchavakula/out-of-fold-oof-model-cross-validation", "kernel_id": "1278482"}, {"ref": "rooshroosh/lightgbm-baseline-1-49-lb", "kernel_id": "1170717"}, {"ref": "bbennett36/lightgbm-poisson-shap-only-50-features-1-67", "kernel_id": "1194859"}, {"ref": "bguberfain/stratified-folds", "kernel_id": "1207375"}, {"ref": "scirpus/how-low-can-you-go", "kernel_id": "1190671"}, {"ref": "scirpus/the-data-contains-the-target", "kernel_id": "1299915"}, {"ref": "scirpus/qr-decomposition", "kernel_id": "1297804"}, {"ref": "scirpus/bad-practice", "kernel_id": "1309638"}, {"ref": "scirpus/custom-knn", "kernel_id": "1320289"}, {"ref": "scirpus/santander-gp-clustering-ii", "kernel_id": "1232154"}, {"ref": "scirpus/cut-and-run", "kernel_id": "1203602"}, {"ref": "scirpus/santander-poor-mans-tsne", "kernel_id": "1209949"}, {"ref": "scirpus/santander-46-features", "kernel_id": "1287730"}, {"ref": "xffjlg/a-way-to-find-any-other-leaks", "kernel_id": "1388610"}, {"ref": "tezdhar/breaking-lb-fresh-start", "kernel_id": "1311612"}, {"ref": "zhangchenhan/a-simple-way-to-use-giba-s-features", "kernel_id": "1461720"}, {"ref": "avloss/basic-eda-t-sne-plot", "kernel_id": "1178063"}, {"ref": "cttsai/bayesian-optimized-xgboost", "kernel_id": "1221122"}, {"ref": "cttsai/xgb-starter-w-decomposition", "kernel_id": "1178234"}, {"ref": "cttsai/xgb-starter-w-seed-diversity", "kernel_id": "1182749"}, {"ref": "cttsai/gbm-blended", "kernel_id": "1184054"}, {"ref": "kenmatsu4/applying-topic-model-features-to-improve-a-score", "kernel_id": "1489779"}, {"ref": "kenmatsu4/leak-features-are-in-a-dense-part-of-the-data", "kernel_id": "1374685"}, {"ref": "kenmatsu4/classifying-2-types-of-test-data", "kernel_id": "1309061"}, {"ref": "nandum/my-first-notebook", "kernel_id": "1177688"}, {"ref": "heyprafulla/constant-values-in-train-have-more-values-in-test", "kernel_id": "1362975"}, {"ref": "abhilashawasthi/fs-lasso-hyperparamtuning-hyperopt", "kernel_id": "1208704"}, {"ref": "mytymohan/santander-value-prediction-challenge-my-solution", "kernel_id": "1408281"}, {"ref": "imsayantan/decoding-id-column-possible-time-series-analysis", "kernel_id": "1195255"}, {"ref": "nulldata/jiazhen-to-armamut-via-gurchetan1000-0-56", "kernel_id": "1459144"}, {"ref": "nulldata/santander-value-prediction-eda-lm-xgb-caret", "kernel_id": "1173889"}, {"ref": "adityamangal410/decision-tree", "kernel_id": "1395933"}, {"ref": "fernandoramacciotti/pca-clustering", "kernel_id": "1364786"}, {"ref": "indranilbhattacharya/row-features-xgb-yet-to-be-tuned", "kernel_id": "1294525"}, {"ref": "indranilbhattacharya/are-we-watching-closely", "kernel_id": "1339273"}, {"ref": "indranilbhattacharya/xgboost-starter-random-search", "kernel_id": "1173239"}, {"ref": "zaburo/neural-network-starter", "kernel_id": "1181306"}, {"ref": "tunguz/yaeda-yet-another-eda", "kernel_id": "1176329"}, {"ref": "pierreco/modeling-with-pca", "kernel_id": "1196337"}, {"ref": "johnfarrell/baseline-with-lag-select-fake-rows-dropped", "kernel_id": "1318186"}, {"ref": "johnfarrell/breaking-lb-fresh-start-with-lag-selection", "kernel_id": "1312489"}, {"ref": "johnfarrell/giba-s-property-extended-extended-result", "kernel_id": "1306353"}, {"ref": "tkm2261/simple-lightgbm", "kernel_id": "1170976"}, {"ref": "jordanrex/santander-nfold-xgb", "kernel_id": "1176463"}, {"ref": "tiagofabre/sparse-matrix-wip", "kernel_id": "1270789"}, {"ref": "hmendonca/testing-features-with-shapley-values", "kernel_id": "1248835"}, {"ref": "hmendonca/keras-regressor-neural-network", "kernel_id": "1217790"}, {"ref": "hmendonca/training-data-analyzes-time-series", "kernel_id": "1222763"}, {"ref": "vasilis73/descriptive-satander", "kernel_id": "1186475"}, {"ref": "vasilis73/satander-analysis", "kernel_id": "1206478"}, {"ref": "praxitelisk/santander-preprocess-model-averaging-by-xgb-lgb", "kernel_id": "1470679"}, {"ref": "praxitelisk/santander-value-prediction-challenge-eda-ml", "kernel_id": "1413024"}, {"ref": "amitkumarjaiswal/xgb-with-feature-engineering", "kernel_id": "1252158"}, {"ref": "ogrellier/using-histogram-as-feature-1-43", "kernel_id": "1290794"}, {"ref": "ogrellier/feature-scoring-vs-zeros", "kernel_id": "1276318"}, {"ref": "ogrellier/santander-46-features", "kernel_id": "1280831"}, {"ref": "sggpls/40-olivier-s-features", "kernel_id": "1307438"}, {"ref": "sggpls/public-sin-lb-1-38", "kernel_id": "1245071"}, {"ref": "sggpls/santander-pipeline-kernel-xgb-fe-lb1-38", "kernel_id": "1234287"}, {"ref": "glazacvetaneba/preprocessing-new-single-model-baseline-1-43", "kernel_id": "1227450"}, {"ref": "sagol79/why-it-was-not-worth-publishing-0-56-0-49-0-54", "kernel_id": "1485494"}, {"ref": "toshinoue/another-time-series", "kernel_id": "1314795"}, {"ref": "famazon/adversarial-validation-set", "kernel_id": "1251597"}, {"ref": "georsara1/basic-lightgbm-1-48-lb", "kernel_id": "1176266"}, {"ref": "okhlopkov/insufficiency-of-training-data-confirmed", "kernel_id": "1269423"}, {"ref": "zeus75/xgboost-features-scoring-with-ligthgbm-model", "kernel_id": "1360060"}, {"ref": "arkaung/potato-data-analysis-time-series-data", "kernel_id": "1183698"}, {"ref": "tc171995/santander-value-prediction-insights-from-the-eda", "kernel_id": "1208885"}, {"ref": "ankur310794/eda-hack-pca-correlation", "kernel_id": "1171070"}, {"ref": "asydorchuk/save-98-of-ram", "kernel_id": "1230040"}, {"ref": "safavieh/public-kernels-effect-analyzing-public-lb", "kernel_id": "1502451"}, {"ref": "mbkinaci/xgboost-with-best-features-feature-importance", "kernel_id": "1182360"}, {"ref": "ns3115/factor-analysis-santander-value-predict", "kernel_id": "1185545"}, {"ref": "analyticalmind/eda-for-santander-value-prediction", "kernel_id": "1243690"}, {"ref": "isaranja/santander-auto-encoder-neural-network", "kernel_id": "1314380"}, {"ref": "gcshekar08/testing-without-correcting-the-data-leakage", "kernel_id": "1478513"}, {"ref": "arindamgot/stacked-ensemble-using-h2o-rmsle-1-39-local-cv", "kernel_id": "1283914"}, {"ref": "robikscube/eda-lets-have-fun-exploring-santander-data", "kernel_id": "1183517"}, {"ref": "strivingwen/best-ensemble-score-made-available-0-63", "kernel_id": "1322335"}, {"ref": "swarnabha/santander-1-2-1", "kernel_id": "1265317"}, {"ref": "vmkishore/fork-of-giba-s-property-extended-extended-result", "kernel_id": "1420262"}, {"ref": "fenglilee/lr-and-lightgbm-prediction-analysis", "kernel_id": "1251865"}, {"ref": "lcltopismine/compare-two-method-of-feature-extraction", "kernel_id": "1284734"}, {"ref": "nanomathias/genetic-programming-to-find-giba-s-property", "kernel_id": "1309172"}, {"ref": "nanomathias/distribution-of-test-vs-training-data", "kernel_id": "1202910"}, {"ref": "nanomathias/linear-regression-with-elastic-net", "kernel_id": "1206045"}, {"ref": "nanomathias/feature-engineering-benchmarks", "kernel_id": "1224788"}, {"ref": "aditya1702/adversarial-val-lgbm-xgb-model-lb-1-40", "kernel_id": "1256382"}, {"ref": "clair14/we-love-our-clients", "kernel_id": "1208757"}, {"ref": "artgor/satander-eda-nn-features-lgb", "kernel_id": "1170639"}, {"ref": "gurchetan1000/6-new-patterns-extending-jiazhen-0-66-on-train", "kernel_id": "1453363"}, {"ref": "ishida/santander-value-lightgbm-for-beginner", "kernel_id": "1199079"}, {"ref": "danil328/ligthgbm-with-bayesian-optimization", "kernel_id": "1393350"}, {"ref": "mawongh/features-clustering-and-visualization", "kernel_id": "1287240"}, {"ref": "curtarelli/just-another-boring-day", "kernel_id": "1186032"}, {"ref": "cenglish/santander-keras-1", "kernel_id": "1299851"}, {"ref": "gpreda/mix-leak-and-love", "kernel_id": "1345525"}, {"ref": "gpreda/santander-value-prediction-extensive-eda", "kernel_id": "1175083"}, {"ref": "darrellulm/feature-extraction-regression-test-run", "kernel_id": "1445120"}, {"ref": "morrisb/exploring-visualizing-preprocessing-santander", "kernel_id": "1171994"}, {"ref": "ashishsinhaiitr/eda-simple-xgb-rbf-lgbm-model", "kernel_id": "1180732"}, {"ref": "hoiytoiy/train-test-data-differs-in-non-zeros-density", "kernel_id": "1259804"}, {"ref": "haimfeld87/randomforest-with-50-features", "kernel_id": "1213719"}, {"ref": "ashishpatel26/santander-challange-rf-baseline", "kernel_id": "1180647"}, {"ref": "ashishpatel26/santander-value-prediction-xgb-lightgbm-catboost", "kernel_id": "1184579"}, {"ref": "ashishpatel26/fork-of-santander-value-prediction-xgb-lightgbm-ca", "kernel_id": "1190392"}, {"ref": "ashishpatel26/santendar-value-challange-using-lgbm-cv", "kernel_id": "1240718"}, {"ref": "ashishpatel26/hyper-parameter-tuning-code-for-lightgbm", "kernel_id": "1235245"}, {"ref": "ashishpatel26/santander-value-challange-using-keras", "kernel_id": "1236408"}, {"ref": "ashishpatel26/preprocessing-lightgbm-xgboost", "kernel_id": "1208792"}, {"ref": "ashishpatel26/idea-that-works-better-than-data-leakage", "kernel_id": "1311230"}, {"ref": "ashishpatel26/is-it-solusion", "kernel_id": "1313118"}, {"ref": "ashishpatel26/sentander-value-challanges", "kernel_id": "1296891"}, {"ref": "ashishpatel26/blending", "kernel_id": "1347853"}, {"ref": "nicapotato/lstm-on-giba-s-time-series-features", "kernel_id": "1324457"}, {"ref": "nicapotato/leaky-buckets-aggregate", "kernel_id": "1332654"}, {"ref": "nicapotato/parameter-search-visualization-dr-extratree", "kernel_id": "1181216"}, {"ref": "nicapotato/lgbm-cv-tuning-and-seed-diversification", "kernel_id": "1181649"}, {"ref": "bminixhofer/a-different-validation-technique", "kernel_id": "1269527"}, {"ref": "trekkerthemaker/atleast-162-categorical-values-in-each-column", "kernel_id": "1256967"}, {"ref": "siddhartha14/base-xgb-1-47-5a76d2", "kernel_id": "1194023"}, {"ref": "reshmapatel/initial-data-exploration", "kernel_id": "1363971"}, {"ref": "hanene1/santander-data-preparation-data-cleaning", "kernel_id": "1569070"}, {"ref": "sgorlick/columnar-decomposition-techniques", "kernel_id": "1227424"}, {"ref": "ianchute/geometric-mean-of-each-row-lb-1-55", "kernel_id": "1224382"}, {"ref": "amarjeet007/random-forest-feature-engineering-lightgbm", "kernel_id": "1220686"}, {"ref": "yekenot/baseline-with-decomposition-components", "kernel_id": "1175754"}, {"ref": "authman/897-sorted-columns", "kernel_id": "1313932"}, {"ref": "authman/sergey-linear-regression", "kernel_id": "1295262"}, {"ref": "authman/eda-what-do-the-columns-mean", "kernel_id": "1293375"}, {"ref": "yusukesaito0141/loop-feature-selections-lightgbm", "kernel_id": "1183269"}, {"ref": "akosciansky/here-are-some-important-take-aways-from-the-eda", "kernel_id": "1175732"}, {"ref": "muonneutrino/eda-and-lightgbm-starter", "kernel_id": "1202181"}, {"ref": "cedrickchee/the-easiest-way-to-use-pytorch-with-kaggle-s-gpu", "kernel_id": "1297319"}, {"ref": "kevinbonnes/adversarial-validation", "kernel_id": "1225805"}, {"ref": "improvnps/zero-finder", "kernel_id": "1226565"}, {"ref": "moose9200/final-output", "kernel_id": "1272748"}, {"ref": "dm402ml/beginner-guide-to-eda-and-modeling", "kernel_id": "1291548"}, {"ref": "wesamelshamy/what-the-features-mean", "kernel_id": "1170817"}, {"ref": "headsortails/breaking-bank-santander-eda", "kernel_id": "1169845"}, {"ref": "meli19/replace-submissions-using-leak-feature-pred", "kernel_id": "1309069"}, {"ref": "samratp/aggregates-sumvalues-sumzeros-k-means-pca", "kernel_id": "1196156"}, {"ref": "samratp/beginner-guide-to-eda-and-modeling", "kernel_id": "1187029"}, {"ref": "samratp/beginner-guide-to-stacking", "kernel_id": "1178728"}, {"ref": "samratp/santander-value-prediction-xgb-and-lightgbm", "kernel_id": "1174789"}, {"ref": "samratp/lightgbm-xgboost-catboost", "kernel_id": "1175423"}, {"ref": "saivarunk/lgb-baseline-using-encoded-features-auto-encoder", "kernel_id": "1207954"}, {"ref": "saivarunk/dimensionality-reduction-using-keras-auto-encoder", "kernel_id": "1178024"}, {"ref": "joeytaj/leak-fe-ml-from-scratch-baseline", "kernel_id": "1489321"}, {"ref": "nafisur/bird-eye-view-of-different-machine-learning-model", "kernel_id": "1178855"}, {"ref": "nafisur/tpot-starter", "kernel_id": "1352838"}, {"ref": "mannyelk/a-dishonest-approach", "kernel_id": "1324046"}, {"ref": "mannyelk/the-order-of-things", "kernel_id": "1314378"}, {"ref": "mannyelk/an-honest-approach", "kernel_id": "1370927"}, {"ref": "khushal17adlakha/santander-lightgbm-rmse-and-cv", "kernel_id": "1268418"}, {"ref": "aritrase/santander-deeplearning", "kernel_id": "1199470"}, {"ref": "aritrase/santander-reg", "kernel_id": "1190568"}, {"ref": "mortido/digging-into-the-data-time-series-theory", "kernel_id": "1187731"}, {"ref": "mortido/keras-simple-model", "kernel_id": "1178900"}, {"ref": "psbhat/simple-random-forest-kernel-for-a-beginner", "kernel_id": "1208894"}, {"ref": "schlerp/tuning-hyper-parameters-with-scikit-optimize", "kernel_id": "1276211"}, {"ref": "schlerp/bespoke-numpy-ann-for-regression", "kernel_id": "1280227"}, {"ref": "seiya1998/light-gbm-with-ridge-and-basic-aggregates", "kernel_id": "1223958"}, {"ref": "seiya1998/lgbm-with-random-projection-and-aggregate-lb-1-41", "kernel_id": "1231179"}, {"ref": "antoniom85/modelo-keras-simple", "kernel_id": "1182668"}, {"ref": "lukeeee/bayesian-mean-estimates-lr", "kernel_id": "1501232"}, {"ref": "qwe1398775315/change-msle-to-mape", "kernel_id": "1538374"}, {"ref": "ajarmstrong/separate-aggregates-for-dense-and-sparse-features", "kernel_id": "1286294"}, {"ref": "eamanu/fork-of-eda-simple-model", "kernel_id": "1337527"}, {"ref": "eamanu/eda-simple-model", "kernel_id": "1265842"}, {"ref": "kazimanil/yet-another-pca", "kernel_id": "1339436"}, {"ref": "youhanlee/simple-strategy-to-reduce-features-using-r-value", "kernel_id": "1175879"}, {"ref": "shaz13/distributions-pca-analysis-beginner-friendly", "kernel_id": "1220388"}, {"ref": "shaz13/best-ensemble-score-made-available-0-68", "kernel_id": "1321930"}, {"ref": "shaz13/making-the-best-available-to-public", "kernel_id": "1321425"}, {"ref": "amaotone/a-simple-way-to-find-column-groups", "kernel_id": "1485685"}, {"ref": "praveen96/model-decision-tree-starter", "kernel_id": "1180238"}, {"ref": "couyang/santander-value-prediction-lightgbm", "kernel_id": "1174579"}, {"ref": "longyin2/eda-pipeline-for-anonymous-problems-baseline", "kernel_id": "1205257"}, {"ref": "mogamin/simple-but-out-of-the-approach-ishaan-jain", "kernel_id": "1348061"}, {"ref": "mogamin/challenges-linear-model", "kernel_id": "1342864"}, {"ref": "meaninglesslives/vecstack-ensemble-skopt-46feat", "kernel_id": "1283138"}, {"ref": "meaninglesslives/vecstack-ensemble-10models", "kernel_id": "1263703"}, {"ref": "meaninglesslives/triplet-feature-combination-analysis", "kernel_id": "1358140"}, {"ref": "bsivavenu/analysis-of-banking-data", "kernel_id": "1175600"}, {"ref": "felipebottega/experimental-neural-network", "kernel_id": "1394887"}, {"ref": "madhurisivalenka/eda-pca-and-tsvd", "kernel_id": "1178553"}, {"ref": "tdelforge/aggregates-with-lightgbm", "kernel_id": "1201290"}, {"ref": "powerofzero/xgboost-with-best-features-feature-importance", "kernel_id": "1182559"}, {"ref": "automation/kernel96586dfe7f", "kernel_id": "1175731"}, {"ref": "fabianaboldrin/base-xgb-1-41", "kernel_id": "1196850"}, {"ref": "fabianaboldrin/pipeline-kernel-xgb-data-cleaning", "kernel_id": "1238858"}, {"ref": "sheboke93/santander-46-features-add-andrew-s-feature", "kernel_id": "1284771"}, {"ref": "prashantkikani/ensembling-has-always-been-the-answer", "kernel_id": "1192304"}, {"ref": "prashantkikani/santad-dl-approch", "kernel_id": "1199790"}, {"ref": "prashantkikani/santad-label-is-present-in-row", "kernel_id": "1293501"}, {"ref": "guoyiyang92/simple-feature-selection-categorical-continuous", "kernel_id": "1282962"}, {"ref": "hsankesara/santander-first-attempt", "kernel_id": "1191301"}, {"ref": "mehranrafiee/kernel437f68dafb", "kernel_id": "1288673"}, {"ref": "sandeshak/santander-value-prediction-with-lgbm-xgboost", "kernel_id": "1484868"}, {"ref": "tomigelo/benchmark-model-with-lgbm-1-48", "kernel_id": "1282561"}, {"ref": "devaraju/simple-eda-xgb-and-lgb", "kernel_id": "1222554"}, {"ref": "bw0282/sandbox", "kernel_id": "1203557"}, {"ref": "lightsalsa/lgbm1", "kernel_id": "1224986"}, {"ref": "lightsalsa/ensemble-of-lgbm-and-xgb", "kernel_id": "1228517"}, {"ref": "sibmike/finished-grouping-sorting-with-tsne", "kernel_id": "1464733"}, {"ref": "foochg/deep-learning-for-santander-value-prediction", "kernel_id": "1214851"}, {"ref": "plasticgrammer/santander-value-prediction", "kernel_id": "1176830"}, {"ref": "alexpengxiao/preprocessing-model-averaging-by-xgb-lgb-1-39", "kernel_id": "1195752"}, {"ref": "shwetagar/shweta-santander-value-prediction-challenge", "kernel_id": "1178495"}, {"ref": "shwetagar/kernel47ef732885", "kernel_id": "1179717"}, {"ref": "binrey/xgboost-model-1-4", "kernel_id": "1491291"}, {"ref": "tanreinama/histgram-of-all-columns", "kernel_id": "1189152"}, {"ref": "tanreinama/catboost-stackedae-with-mxnet-meta-1-40lb", "kernel_id": "1214722"}, {"ref": "tanreinama/rules-for-direct-find-target-values", "kernel_id": "1381094"}, {"ref": "lorenzo1992/pseudo-auto-search-of-leaky-groups", "kernel_id": "1489633"}, {"ref": "shivamb/dataset-decomposition-techniques", "kernel_id": "1180002"}, {"ref": "blastchar/santander-value-prediction-challenge-h2o-step-1", "kernel_id": "1180432"}, {"ref": "blastchar/santander-value-prediction-challenge-xgboost-1", "kernel_id": "1232415"}, {"ref": "blastchar/santander-value-prediction-challenge-xgboost-2", "kernel_id": "1312495"}, {"ref": "icemandt/prediction-mlp-regressor-keras", "kernel_id": "1445549"}, {"ref": "jondavidorr/hyperparameter-tuned-random-forest-regressor", "kernel_id": "1295213"}, {"ref": "gautamramuvel/xgb-cv-and-gridsearchcv", "kernel_id": "1192472"}, {"ref": "leighplt/sort-data-by-timeshift-conclusion-about-data", "kernel_id": "1453870"}, {"ref": "leighplt/simple-pytorch-with-kaggle-s-gpu", "kernel_id": "1262279"}, {"ref": "boomberung/leak-abuse-v2", "kernel_id": "1929748"}, {"ref": "saloni0101/notebook-santander", "kernel_id": "1316568"}, {"ref": "nardtree/lgb-starter-lb-1-50", "kernel_id": "1170942"}, {"ref": "ci3l4k/quick-overview-of-the-data", "kernel_id": "1238709"}, {"ref": "sniker/pca-and-regression", "kernel_id": "1374874"}, {"ref": "wangyije/kernel7f3fdd35d7", "kernel_id": "1387010"}, {"ref": "shridhar111/kernel6cfd0e50a0", "kernel_id": "1444024"}, {"ref": "ferneutron/analysis-and-feature-selection", "kernel_id": "1747358"}, {"ref": "upitersoft/testset-rows-with-shared-values-distribution", "kernel_id": "1309084"}, {"ref": "upitersoft/test-common-rows", "kernel_id": "1305620"}, {"ref": "upitersoft/one-more-approach-to-sort-columns-and-rows", "kernel_id": "1319753"}, {"ref": "desininja/dimensionality-reduction-using-keras-auto-encoder", "kernel_id": "1935331"}, {"ref": "rahulnimankar3188/santander-sachchidanand", "kernel_id": "1405933"}, {"ref": "rahulnimankar3188/santander-value-prediction", "kernel_id": "1296653"}, {"ref": "adhilhazari/love-is-the-answer-a77168", "kernel_id": "1190676"}, {"ref": "minjielu/lightgbm-xgboost-1-38", "kernel_id": "1516025"}, {"ref": "khahuras/0-49-publiclb-simple-blend-private-lb-rank-126th", "kernel_id": "1485678"}, {"ref": "rishgupta34/practice", "kernel_id": "1265158"}, {"ref": "datagray/another-set-of-ordered-columns", "kernel_id": "1333818"}, {"ref": "ashirahama/my-first-lightgbm-svp", "kernel_id": "1334106"}, {"ref": "anweshasinha/bird-eye-view-of-different-machine-learning-model", "kernel_id": "1450394"}, {"ref": "anweshasinha/kernel8602fbbf87", "kernel_id": "1452823"}, {"ref": "anweshasinha/kerneld1f4c66934", "kernel_id": "1442724"}, {"ref": "alexrais/extended-feature-grouping-and-sorting-tsne", "kernel_id": "1478719"}, {"ref": "qxy714842585/baseline-with-decomposition-components-lightgbm", "kernel_id": "1178827"}, {"ref": "bhaveshthaker/svp-exploratory-data-analysis-eda-and-modeling", "kernel_id": "1307662"}, {"ref": "joaquympc/santander-value-prediction-challenge", "kernel_id": "1369867"}, {"ref": "wangweiyi/pca-xgboost", "kernel_id": "1492474"}, {"ref": "dfrumkin/basic-analysis-and-pre-processing-with-pandas", "kernel_id": "1261745"}, {"ref": "dfrumkin/a-simple-way-to-use-giba-s-features-v2", "kernel_id": "1318662"}, {"ref": "dfrumkin/a-simple-way-to-use-giba-s-features", "kernel_id": "1307862"}, {"ref": "dfrumkin/feature-grouping-with-t-sne", "kernel_id": "1391085"}, {"ref": "debabratakaggle/pca-lgbm-base-model", "kernel_id": "1177336"}, {"ref": "longlongfeng/the-difference-between-pca-tsvd-experiment", "kernel_id": "1242989"}, {"ref": "selvakumarjawahar/satanderprediction-using-svm", "kernel_id": "1530613"}, {"ref": "madanchi/preprocessing", "kernel_id": "1282953"}, {"ref": "plumeria/analysis-santander-value-prediction", "kernel_id": "1401654"}, {"ref": "ksnithya/my-first-ml-code", "kernel_id": "1233401"}, {"ref": "malteklane/santander-rfr", "kernel_id": "1211876"}, {"ref": "wentixiaogege/santander-46-features-add-andrew-s-feature-b337d2", "kernel_id": "1299068"}, {"ref": "sahilsharmagur/lb1-41", "kernel_id": "1232303"}, {"ref": "tandonarpit6/santander-value-prediction-challenge", "kernel_id": "1372395"}, {"ref": "hunningsmike854/love-is-the-answer-b30fa1", "kernel_id": "1349508"}, {"ref": "ishaan45/simple-but-out-of-the-box-approach", "kernel_id": "1179759"}, {"ref": "marcelin/santander", "kernel_id": "1466771"}, {"ref": "marcelin/santander-prediction", "kernel_id": "1462471"}, {"ref": "tienen/love-is-the-answer-ac1bcd", "kernel_id": "1480310"}, {"ref": "tienen/love-is-the-answer-new-blendwinner", "kernel_id": "1478336"}, {"ref": "brendajohn1/santander-value-prediction-kek", "kernel_id": "1274655"}, {"ref": "rvizraj/bank-data-linear-regression", "kernel_id": "1382092"}, {"ref": "ajaysub110/santander-random-forest-regressor", "kernel_id": "1446613"}, {"ref": "yuikitaml/stacking3402", "kernel_id": "1482080"}, {"ref": "naresh31/santander-value-prediction-challenge", "kernel_id": "2587302"}, {"ref": "qizarafzaal/a-simple-and-straightforward-approach-leak", "kernel_id": "2333665"}, {"ref": "louis030195/legit-model-stacking", "kernel_id": "2216850"}, {"ref": "yairh3/feature-selection-techniques-and-lgbm", "kernel_id": "2630035"}, {"ref": "nazirashaikh/santander-value-prediction", "kernel_id": "2889645"}, {"ref": "deepakmalpani/using-randomforestregressor", "kernel_id": "2864113"}, {"ref": "ashsharma28/lightgbm-xgboost-catboost", "kernel_id": "3741035"}, {"ref": "sishihara/feature-selection-by-scipy-stats-ks-2samp", "kernel_id": "3132466"}, {"ref": "anil777/lightgbm-xgboost-catboost-santander-practice", "kernel_id": "3528273"}, {"ref": "vienvien/modelo-keras-simple", "kernel_id": "3480348"}, {"ref": "rolandas1369/kernel98b1f9aba6", "kernel_id": "4222267"}, {"ref": "manu007/dimensionality-reduction-using-keras-auto-encoder", "kernel_id": "5294486"}, {"ref": "yatharthmahesh/kernel4475595945", "kernel_id": "5673959"}, {"ref": "zhouhong0/lgbbest", "kernel_id": "5913908"}, {"ref": "zhouhong0/voting-regressor", "kernel_id": "5914177"}, {"ref": "daphnetree/xbg-model", "kernel_id": "5869682"}, {"ref": "daphnetree/ramdom-forest", "kernel_id": "5870719"}, {"ref": "daphnetree/stacking", "kernel_id": "5872621"}, {"ref": "jagannathrk/santander-value-prediction", "kernel_id": "6838766"}, {"ref": "zhouhong0/eda-and-modeling-by-zhou", "kernel_id": "6063387"}, {"ref": "dsaichand3/value-prediction", "kernel_id": "8128863"}, {"ref": "bjladika/standarter-value-prediction-by-bjladika", "kernel_id": "9757291"}, {"ref": "hugedin/santander-value-prediction-challenge-skryabin", "kernel_id": "9706119"}, {"ref": "aaaaaa321/santander-value-prediction-challenge", "kernel_id": "9882241"}, {"ref": "deviaiml/santander-value-prediction", "kernel_id": "9867429"}, {"ref": "sashabadmaev/santandervaluepredictionbyalexbadmaev", "kernel_id": "9772423"}, {"ref": "sashabadmaev/svpbybadmaev", "kernel_id": "9793054"}, {"ref": "vasportv/standarter-value-prediction-by-porotov", "kernel_id": "9775639"}, {"ref": "maksmixailov/4-santander-value", "kernel_id": "9838424"}, {"ref": "orkonungr/4-santander-value-prediction-erken", "kernel_id": "9747112"}, {"ref": "carlos11292/project-1-on-santander-bank-target-prediction", "kernel_id": "9847513"}, {"ref": "ochuk1/santanderbykkoryakin", "kernel_id": "9584264"}, {"ref": "dskagglemt/santander-value-prediction-challenge-eda", "kernel_id": "11871917"}, {"ref": "dskagglemt/santander-value-prediction-challenge-v2", "kernel_id": "11962876"}, {"ref": "dskagglemt/santander-value-prediction-challenge-lgb", "kernel_id": "11976418"}, {"ref": "charlessamuel/santander-value-prediction", "kernel_id": "11191075"}, {"ref": "nishanthnarayanan/santander-prediction", "kernel_id": "11634353"}, {"ref": "kamalkhumar/santander-value-prediction", "kernel_id": "11628908"}, {"ref": "greenarrow2018/santander-value-prediction-challenge", "kernel_id": "12273876"}, {"ref": "mkkmanish/dimensionality-reduction-using-keras-auto-encoder", "kernel_id": "12101751"}, {"ref": "harshitanand101/santander-customer-value-prediction", "kernel_id": "12665578"}, {"ref": "hiro1005/santander-value-prediction-challenge", "kernel_id": "12061255"}, {"ref": "paulrohan2020/tutorial-lightgbm-xgboost-catboost-top-11", "kernel_id": "12436751"}, {"ref": "keishi27/santander-value-prediction", "kernel_id": "12111636"}, {"ref": "mehdi83/dimensionality-reduction-using-keras-auto-encoder", "kernel_id": "12829785"}, {"ref": "paulrohan2020/tutorial-kernel-2-lightgbm-xgboost-and-catboost", "kernel_id": "13377289"}, {"ref": "hkpaul2020/tutorial-kernel-on-lightgbm-xgboost-and-catboost", "kernel_id": "13422958"}, {"ref": "hikmetsezen/blend-boosting-for-best-score-on-santander-value", "kernel_id": "16758559"}, {"ref": "uknowabhishek/fe-with-no-leak", "kernel_id": "16553460"}, {"ref": "younggod/notebook487c8258b3", "kernel_id": "17370328"}, {"ref": "aadiverma95/santander-value-prediction-challenge", "kernel_id": "19784318"}, {"ref": "maungagus/breaking-bank-santander-eda", "kernel_id": "20483344"}, {"ref": "miladagdam/santander-value-prediction-challenge-using-xgb", "kernel_id": "20835602"}, {"ref": "hariprasadv31/lightgbm-xgboost-hari", "kernel_id": "21081820"}, {"ref": "ghazalkheyroddin/feature-selection-using-shap", "kernel_id": "21277215"}, {"ref": "flafuji/santander-eda-catboost", "kernel_id": "21861438"}, {"ref": "akouaorsot/transaction-value-prediction", "kernel_id": "24486294"}, {"ref": "rohan1506/optimizing-pandas-like-a-pro", "kernel_id": "24438047"}, {"ref": "priyankamurugesan/santander-value-prediction-mlpregessor", "kernel_id": "26790103"}, {"ref": "bac03704/lightgbm-vs-xgboost-vs-catboost", "kernel_id": "27209032"}, {"ref": "ambrperl/ambroise-perlein-santander-value-prediction", "kernel_id": "27184997"}, {"ref": "amaysood/notebookacdb1c87d5", "kernel_id": "29731414"}, {"ref": "rengarwang/lightgbm-value-prediction-challenge-20230111", "kernel_id": "33829231"}, {"ref": "vitaliyshpak/santander-value-prediction-lgbm-xgb-catboost", "kernel_id": "33320990"}, {"ref": "joewoex/autoencoder-task", "kernel_id": "38210184"}, {"ref": "suraj520/voting-classifier-know-fit-infer", "kernel_id": "40510632"}, {"ref": "gabrielmaiabr/santander-value-prediction-challenge", "kernel_id": "40987938"}, {"ref": "xinpengshan/lightgbm-xgboost-catboost", "kernel_id": "41279542"}, {"ref": "kirillzar/lightautoml-santander-value-prediction-challenge", "kernel_id": "50412567"}, {"ref": "kirillzar/no-laml-santander-value-prediction-challenge", "kernel_id": "50456866"}, {"ref": "sapnasaw/santander-value-prediction", "kernel_id": "54343805"}, {"ref": "carlmcbrideellis/cuml-random-forest-benchmark", "kernel_id": "78966056"}, {"ref": "evgendvorkin/santander-value-prediction-challenge", "kernel_id": "107356119"}, {"ref": "rondii/homework2", "kernel_id": "116858128"}]}
{"competition_id": "9721", "kernels": []}
{"competition_id": "9722", "kernels": []}
{"competition_id": "9733", "kernels": []}
{"competition_id": "9741", "kernels": [{"ref": "stuser/kernel-exp-3", "kernel_id": "1004450"}, {"ref": "stuser/kernel-exp-1", "kernel_id": "1001056"}, {"ref": "stuser/kernel-exp-2", "kernel_id": "1001151"}]}
{"competition_id": "9745", "kernels": []}
{"competition_id": "9748", "kernels": [{"ref": "yassertabandeh/winning-solution-of-the-ubaar-competition", "kernel_id": "1275857"}, {"ref": "habedi/ubaar-starter-kernel", "kernel_id": "1084012"}]}
{"competition_id": "9759", "kernels": []}
{"competition_id": "9760", "kernels": []}
{"competition_id": "9770", "kernels": []}
{"competition_id": "9792", "kernels": []}
{"competition_id": "9795", "kernels": [{"ref": "anttipaladin/prerequisites", "kernel_id": "1081776"}, {"ref": "anttipaladin/get-started", "kernel_id": "1114960"}]}
{"competition_id": "9814", "kernels": []}
{"competition_id": "9816", "kernels": []}
{"competition_id": "9823", "kernels": [{"ref": "jganzabal/red-basica-con-softmax", "kernel_id": "1050654"}]}
{"competition_id": "9826", "kernels": [{"ref": "lukasbrockmann01/lad-project-3-using-pre-trained-language-models", "kernel_id": "74290224"}]}
{"competition_id": "9827", "kernels": [{"ref": "lukasbrockmann01/lad-project-3-using-pre-trained-language-models", "kernel_id": "74290224"}]}
{"competition_id": "9829", "kernels": []}
{"competition_id": "9840", "kernels": [{"ref": "michelblaauw/h2o-deeplearning-starting-template", "kernel_id": "1441158"}, {"ref": "aboyoun/kernelbdfa2e8b84", "kernel_id": "1630612"}, {"ref": "kailex/basic-xgb-fea", "kernel_id": "1320696"}, {"ref": "acamara/cleaning-random-forest", "kernel_id": "1318441"}, {"ref": "abosol/workbyhogar", "kernel_id": "1568434"}, {"ref": "parkyy/household-level-eda", "kernel_id": "1341020"}, {"ref": "minhduc191/lgb-feature-engineering-explained", "kernel_id": "1329696"}, {"ref": "minhduc191/eda-and-lgb", "kernel_id": "1322061"}, {"ref": "minhduc191/lgb-up-rank-by-feature-pruning", "kernel_id": "1368360"}, {"ref": "sreenila/costa-rican-household-poverty-prediction", "kernel_id": "1374979"}, {"ref": "opanichev/lgb-as-always", "kernel_id": "1313898"}, {"ref": "morsamb/visualisation-and-cleaning", "kernel_id": "1330379"}, {"ref": "anoojnair/various-ensemble-techniques", "kernel_id": "1853878"}, {"ref": "katacs/data-cleaning-and-random-forest", "kernel_id": "1314256"}, {"ref": "scirpus/gp-plus-a-bit-of-tsne", "kernel_id": "1389239"}, {"ref": "vuppala/simple-rf-with-no-modifications-to-data", "kernel_id": "1880620"}, {"ref": "hulkbulk/noobskenerl", "kernel_id": "1327213"}, {"ref": "davidsl83/h2o-gbm", "kernel_id": "1328647"}, {"ref": "aristeia/xgb-and-lgb-simple-analysis", "kernel_id": "1362132"}, {"ref": "christinampoid/short-analysis-and-first-attempt-of-modelling", "kernel_id": "1315583"}, {"ref": "maheshdadhich/baseline-model-and-feature-importance-lb-0-38", "kernel_id": "1318060"}, {"ref": "captcalculator/exploration-and-modeling-first-pass", "kernel_id": "1540257"}, {"ref": "tunguz/eda-model", "kernel_id": "1315299"}, {"ref": "zingo3245/costa-rica-poverty-level", "kernel_id": "1682026"}, {"ref": "jaybob20/somesome", "kernel_id": "1558938"}, {"ref": "rsilveira79/baseline-randomforest-balanced", "kernel_id": "1319259"}, {"ref": "amitkumarjaiswal/beginner-s-tutorial-to-costa-rican-poverty", "kernel_id": "1320573"}, {"ref": "anandi1989/my-first-kernel-stacking", "kernel_id": "1660192"}, {"ref": "kingsten/kernel865fb79edc", "kernel_id": "1621691"}, {"ref": "opendataprincess/costa-rican-poverty-prediction-1st-kaggle", "kernel_id": "1668348"}, {"ref": "ischurov/more-feature-eng-lgb-5-fold-early-stopping", "kernel_id": "1351200"}, {"ref": "ivarvb/python-0000000001", "kernel_id": "1980495"}, {"ref": "ivarvb/costa-rican-household-poverty-level-prediction", "kernel_id": "1981763"}, {"ref": "fatihdereli/costa-rican-household-poverty-prediction", "kernel_id": "1619152"}, {"ref": "meet1704/submisstion-23july", "kernel_id": "1330325"}, {"ref": "tharug/householdpoverty", "kernel_id": "1658264"}, {"ref": "kuriyaman1002/reduce-features-140-85-keeping-f1-score", "kernel_id": "1329456"}, {"ref": "kuriyaman1002/eda-data-consistency-check", "kernel_id": "1311029"}, {"ref": "gilesstrong/dnn-ensemble-cat-embeddings-pretrain-class-bal", "kernel_id": "1472031"}, {"ref": "amitprasad/poverty-prediction-key-results", "kernel_id": "1448232"}, {"ref": "heena34/lgb-model", "kernel_id": "1316608"}, {"ref": "durga641/baseline-rdf", "kernel_id": "1566452"}, {"ref": "durga641/submission-random-forest", "kernel_id": "1563636"}, {"ref": "durga641/fork-of-submission-random-forest", "kernel_id": "1563991"}, {"ref": "hiteshp/exploratory-data-analysis-and-leading-facts", "kernel_id": "1328177"}, {"ref": "blondelkenne/costarican-householdpoverty-level", "kernel_id": "1609192"}, {"ref": "nikitpatel/best-for-beginner-featureengineering-best-model", "kernel_id": "1330294"}, {"ref": "nikitpatel/random-grid-bayes-search-cv-for-xgb", "kernel_id": "1400645"}, {"ref": "nikitpatel/hyper-parameter-lgbm-costa-rican", "kernel_id": "1382442"}, {"ref": "nikitpatel/keras-deeplearning-classification", "kernel_id": "1424335"}, {"ref": "aditya1702/eda-of-all-142-variables", "kernel_id": "1326304"}, {"ref": "aditya1702/data-pipeline-186-features-bayes-optimized-lgb", "kernel_id": "1348067"}, {"ref": "artgor/extensive-poverty-eda-feature-engineering-and-lgb", "kernel_id": "1316507"}, {"ref": "anktplwl91/predicting-using-xgboost-catboost-and-lightgbm", "kernel_id": "1359115"}, {"ref": "anktplwl91/introduction-to-model-stacking", "kernel_id": "1401096"}, {"ref": "debmishra/pda-household-costaricav1-4-voting-clf-tuned", "kernel_id": "1421838"}, {"ref": "pcbrom/the-road-for-accuracy-version-01", "kernel_id": "1348909"}, {"ref": "hrmello/a-first-look-at-the-target", "kernel_id": "1315734"}, {"ref": "jimenaromeropinto/submission-1-formatted", "kernel_id": "1499225"}, {"ref": "rupeshwadibhasme/boost-out-of-poverty-xgb-starter", "kernel_id": "1317114"}, {"ref": "rupeshwadibhasme/neural-network-keras-playground", "kernel_id": "1543579"}, {"ref": "pecooper/costa-rica-poverty-various-benchmarks", "kernel_id": "1502311"}, {"ref": "anirudhvaranasi/costa-rican-poverty-household-kernel", "kernel_id": "1597065"}, {"ref": "george123321/try-watch-household-as-representative", "kernel_id": "1584948"}, {"ref": "xmj9999/lightgbm-baseline", "kernel_id": "1317462"}, {"ref": "alexandershustanov/costa-rican-poverty-prediction-eda", "kernel_id": "1539189"}, {"ref": "ashishpatel26/svc-rf-lgbm-xgb", "kernel_id": "1329917"}, {"ref": "ashishpatel26/catboost-better", "kernel_id": "1332999"}, {"ref": "ashishpatel26/feature-engineering-model-tuning", "kernel_id": "1332849"}, {"ref": "ashishpatel26/catboost-approach", "kernel_id": "1335546"}, {"ref": "ashishpatel26/feature-engineering-lighgbm-with-f1-macro", "kernel_id": "1366135"}, {"ref": "ashishpatel26/feature-importance-of-lightgbm", "kernel_id": "1353342"}, {"ref": "ashishpatel26/bayesian-approach-automatic-parameter-tuning", "kernel_id": "1342212"}, {"ref": "ashishpatel26/lgbm-with-bayesian-approach", "kernel_id": "1393216"}, {"ref": "ashishpatel26/costa-rican-household-poverty-level-prediction", "kernel_id": "1401363"}, {"ref": "ashishpatel26/improve-vision-with-lightgbm", "kernel_id": "1418390"}, {"ref": "anirudhmurali/costa-rican", "kernel_id": "1512061"}, {"ref": "nicapotato/costa-rican-poverty-distributions-and-corr", "kernel_id": "1312779"}, {"ref": "nicapotato/poverty-level-prediction-gradient-boosting-model", "kernel_id": "1313091"}, {"ref": "stajh05/first-attempt-basic-random-forest", "kernel_id": "1418141"}, {"ref": "wangjinghui/just-lightgbm", "kernel_id": "1519858"}, {"ref": "luanho/lgb-feature-engineer-kfold-0-416-lb", "kernel_id": "1581180"}, {"ref": "stefanie04736/costa-rican-household-poverty-lightgbm", "kernel_id": "1506885"}, {"ref": "taindow/predicting-poverty-levels-with-r", "kernel_id": "1315824"}, {"ref": "gobert/how-to-reproduce-macro-f1-score-locally", "kernel_id": "1335435"}, {"ref": "gobert/data-selection-with-randomforest", "kernel_id": "1328064"}, {"ref": "plarmuseau/difference-between-train-test", "kernel_id": "1588961"}, {"ref": "mullayilkannan/costarican-householddtree-template", "kernel_id": "1845322"}, {"ref": "boxshapedworld/gradient-boosted-with-sample-weights", "kernel_id": "1462526"}, {"ref": "willkoehrsen/visualize-a-decision-tree-w-python-scikit-learn", "kernel_id": "1474801"}, {"ref": "willkoehrsen/a-complete-introduction-and-walkthrough", "kernel_id": "1320918"}, {"ref": "willkoehrsen/dimensionality-reduction-techniques", "kernel_id": "1334097"}, {"ref": "willkoehrsen/featuretools-for-good", "kernel_id": "1361064"}, {"ref": "zhav1k/make-it-beautiful-with-seaborn-xgb-model", "kernel_id": "1323078"}, {"ref": "sathvikraju/kernela311bdcd77", "kernel_id": "1473679"}, {"ref": "shahules/costa-reca-poverty-prediction", "kernel_id": "1437351"}, {"ref": "peaceful/feature-engineering-selection-with-xgb-models", "kernel_id": "1327482"}, {"ref": "justjun0321/from-cleaning-eda-to-modeling-help-those-indeed", "kernel_id": "1619577"}, {"ref": "nilchat85/costa-rican-household-poverty-level-eda", "kernel_id": "1541113"}, {"ref": "thachhoang2410/predicting-target-by-using-household-feature", "kernel_id": "1316401"}, {"ref": "alaburda/predicting-poverty-levels-first-attempt", "kernel_id": "1413537"}, {"ref": "prezaei/exploring-missing-values-and-object-columns", "kernel_id": "1332426"}, {"ref": "mukeshbisht/povertykernel", "kernel_id": "1322408"}, {"ref": "c0conuts/xgb-k-folds-fastai", "kernel_id": "1320070"}, {"ref": "kazimanil/a-late-submittance", "kernel_id": "1620389"}, {"ref": "youhanlee/3250feats-532-feats-using-shap-lb-0-436", "kernel_id": "1315722"}, {"ref": "shaz13/sweet-home-exploratory-data-analysis", "kernel_id": "1316275"}, {"ref": "fredguinog/rcpp-f1scoremacro-implementation", "kernel_id": "1319643"}, {"ref": "nityeshaga/detailed-analysis-with-a-focus-on-preprocessing", "kernel_id": "1326603"}, {"ref": "faraaz54/data-cleaning-eda-bayesian-optimization-gbm", "kernel_id": "1931693"}, {"ref": "bparesh/costa-rican-poverty-logistic-model-425lb", "kernel_id": "1668555"}, {"ref": "bparesh/costa-rican-household-poverty-eda-basic-model", "kernel_id": "1587610"}, {"ref": "jhotor/costa-rican-household-poverty-jt-eda", "kernel_id": "1332677"}, {"ref": "shubchat/start-costarican-data-simple-eda", "kernel_id": "1320207"}, {"ref": "andrewgreenanalytics/andrew-test1", "kernel_id": "1650981"}, {"ref": "ganeshsundar/poverty-level-prediction-xgboost", "kernel_id": "1544301"}, {"ref": "nikitsoftweb/lgbm-w-random-split-2", "kernel_id": "1632588"}, {"ref": "nikitsoftweb/costa-rican-household-poverty-level-prediction", "kernel_id": "1665872"}, {"ref": "graeme16161/costa-rican-poverty-eda", "kernel_id": "1315553"}, {"ref": "mvsandilya/costa-rican-household-part-2", "kernel_id": "1500903"}, {"ref": "mvsandilya/costa-rican-household-data-aug-13-2018", "kernel_id": "1447153"}, {"ref": "xinchen201795/ml-for-the-poverty", "kernel_id": "1672928"}, {"ref": "anuroop1994/start-an-introduction-to-the-problem", "kernel_id": "1323513"}, {"ref": "skooch/ensemble-take-8", "kernel_id": "1336247"}, {"ref": "skooch/lgbm-with-random-split-2", "kernel_id": "1354118"}, {"ref": "skooch/lgbm-with-k-fold-early-stopping", "kernel_id": "1355358"}, {"ref": "skooch/lgbm-w-random-split-2", "kernel_id": "1358281"}, {"ref": "skooch/feature-engineering-lighgbm-with-f1-macro", "kernel_id": "1342144"}, {"ref": "skooch/lgbm-with-random-split", "kernel_id": "1348656"}, {"ref": "skooch/xgboost", "kernel_id": "1397889"}, {"ref": "skooch/ensemble-of-xgboost-lgb-and-randomforest", "kernel_id": "1398019"}, {"ref": "justforgags/poverty-analysis-costa-rica", "kernel_id": "1697698"}, {"ref": "justforgags/testforfun", "kernel_id": "1571138"}, {"ref": "justforgags/stacking-poverty", "kernel_id": "1632831"}, {"ref": "arkanoah/linearsvc-with-over-sampling-and-gridsearchcv", "kernel_id": "1373949"}, {"ref": "puneetgrover/learning-to-make-diff-models-dataclean-feateng", "kernel_id": "1589364"}, {"ref": "rgrajan/poverty-prediction-using-random-forest", "kernel_id": "1674998"}, {"ref": "sparshag/eda-household-poverty-prediction-start-here", "kernel_id": "1326328"}, {"ref": "anqitu/hackoss-base-model-demonstration", "kernel_id": "1658524"}, {"ref": "splgeo/costa-rican-household-poverty-using-keras", "kernel_id": "1315369"}, {"ref": "shivamb/costa-rica-poverty-exploration-kernel", "kernel_id": "1321272"}, {"ref": "dnik007/costa-rican-povery-with-voting-classifier", "kernel_id": "1655011"}, {"ref": "spmukherjee/poverty-prediction-with-99-recall", "kernel_id": "1384671"}, {"ref": "ruthwikmasina/poverty-level-prediction-using-xgb-svm", "kernel_id": "1328263"}, {"ref": "ruthwikmasina/a-neural-network-in-tensorflow-to-predict", "kernel_id": "1385132"}, {"ref": "bigdatarider/costa-rican-household-poverty-class-prediction", "kernel_id": "1619136"}, {"ref": "mhviraf/the-least-data-exploration-you-need", "kernel_id": "1320219"}, {"ref": "wiczer/analysis-v3", "kernel_id": "1675811"}, {"ref": "azharsindhi/beginning-lightgbm", "kernel_id": "1320422"}, {"ref": "vinhnguyen56/eda-inferential-stat-some-data-cleaning", "kernel_id": "1548684"}, {"ref": "mlisovyi/why-are-scores-low", "kernel_id": "1442074"}, {"ref": "mlisovyi/cluster-analysis-tsne-mds-isomap", "kernel_id": "1374295"}, {"ref": "mlisovyi/feature-engineering-lighgbm-with-f1-macro", "kernel_id": "1323408"}, {"ref": "mlisovyi/lighgbm-hyperoptimisation-with-f1-macro", "kernel_id": "1319083"}, {"ref": "mlisovyi/missing-values-in-the-data", "kernel_id": "1316791"}, {"ref": "mlisovyi/categorical-variables-encoding-function", "kernel_id": "1317192"}, {"ref": "wangyije/feature-engineer-baseline-lgb", "kernel_id": "1360339"}, {"ref": "wangyije/baseline", "kernel_id": "1358089"}, {"ref": "rohitgan/costa-rica-household-poverty-prediction", "kernel_id": "1908225"}, {"ref": "samextensibleenergy/costa-rica-public-data-eda-target-prediction", "kernel_id": "1315704"}, {"ref": "mingtian233/kernelac6abb9f20", "kernel_id": "1853522"}, {"ref": "rodrago/pmr3508-2018-0bd65dd5e3-costa-rica", "kernel_id": "1564955"}, {"ref": "aleiken/beginner-xgboost", "kernel_id": "1669898"}, {"ref": "ymatioun/clean-1-step-hoh-only-aggregations", "kernel_id": "1408643"}, {"ref": "ymatioun/hoh-only-scaled", "kernel_id": "1403376"}, {"ref": "geodra93/1st-attempt", "kernel_id": "1431643"}, {"ref": "puneetshekhawat/data-cleaning-handling-missing-data-random-forest", "kernel_id": "1357850"}, {"ref": "tanmaylata/costa-rica-submission", "kernel_id": "1556798"}, {"ref": "ruslanmamedov/poverty-level-prediction-beginer-s-kernel", "kernel_id": "1598129"}, {"ref": "gaxxxx/exploratory-data-analysis-lightgbm", "kernel_id": "1416480"}, {"ref": "praveentn/506cr-feature-reduction-xtreme-gradient-boosting", "kernel_id": "1515713"}, {"ref": "jeppbautista/eda-feature-selection-xgboost-classifier", "kernel_id": "1392666"}, {"ref": "jeppbautista/eda-feature-engineering-lgbm", "kernel_id": "1502202"}, {"ref": "victorhz/first-approach", "kernel_id": "1487252"}, {"ref": "victorhz/svm-over-csv", "kernel_id": "1486663"}, {"ref": "victorhz/svm-over-csv-2", "kernel_id": "1489828"}, {"ref": "nathanliitt/imputation-eda-logit-model-top-10", "kernel_id": "1329993"}, {"ref": "jigarsutaria/costa-rica-household-aid-eligibilty-analysis", "kernel_id": "1752805"}, {"ref": "jigarsutaria/costa-rica-poverty-prediction", "kernel_id": "1750576"}, {"ref": "amrish445/costa-rica-explanation", "kernel_id": "1491269"}, {"ref": "akgauravin/costa-rica-household-poverty-prediction", "kernel_id": "1788436"}, {"ref": "dandanwei/fast-ai-dl", "kernel_id": "1974082"}, {"ref": "xiaoxuexun/data-analysis0723v1", "kernel_id": "1333108"}, {"ref": "fehitasi/pmr3508-2018-7dd3037079", "kernel_id": "1497189"}, {"ref": "sensbod/kaggle-iadb-competition", "kernel_id": "1442918"}, {"ref": "fernandokm/pmr3508-knn", "kernel_id": "1561394"}, {"ref": "tandonarpit6/costa-rica-household-poverty-challenge", "kernel_id": "1632643"}, {"ref": "sagarrawat/naiveclassifier", "kernel_id": "1332812"}, {"ref": "ishaan45/eda-feature-removal", "kernel_id": "1315350"}, {"ref": "tkaleczyc/define-poverty-with-pytorch", "kernel_id": "1371943"}, {"ref": "jaytalati87/lgbm-w-random-split-2", "kernel_id": "1574966"}, {"ref": "reployer/leaderboard-probing-ridge-0-426-0-432", "kernel_id": "1565495"}, {"ref": "nephalem98/simple-approach-to-poverty-level-prediction", "kernel_id": "1621280"}, {"ref": "sai3247/simple-program", "kernel_id": "1337847"}, {"ref": "davixue/simple-data-cleaning-svm", "kernel_id": "1391094"}, {"ref": "abusiddik/costa-rican-poverty-prediction", "kernel_id": "1400753"}, {"ref": "nocturnaltribe/costa-rica-project", "kernel_id": "1353671"}, {"ref": "payamr/it-s-about-those-three-missing-features", "kernel_id": "1396259"}, {"ref": "fooeta/costarican-dnn", "kernel_id": "1439664"}, {"ref": "infocusp/costa-rica-pmt-data-eda", "kernel_id": "1323875"}, {"ref": "wanglan020910324/dnn-for-poverty-prediction-v2", "kernel_id": "1408815"}, {"ref": "irinakrivichenko/kernele419855826", "kernel_id": "1407515"}, {"ref": "ly2280119/kernel-svm-ly", "kernel_id": "1343368"}, {"ref": "pinkybeaver/misters-1", "kernel_id": "1672844"}, {"ref": "santibermejo/cr-household-poverty-level-with-xgboost", "kernel_id": "1554088"}, {"ref": "zhy450324080/lgb-xgb-other-alg-from-0-366-to-0-424", "kernel_id": "1586462"}, {"ref": "yulinzxc/a-newbie-walk-through-with-variety-of-algorithms", "kernel_id": "1625287"}, {"ref": "noahdevan/costa-rican-household-poverty-comp1", "kernel_id": "1372244"}, {"ref": "stupidluca/lastversion-9-23", "kernel_id": "1708584"}, {"ref": "maximim/crhlp-gridsearchcv-model-2018-09-06-01", "kernel_id": "1602703"}, {"ref": "otvmonteiro/pmr3508-2018-d7465a13af-costarican", "kernel_id": "1560551"}, {"ref": "vjinsi/kernel-costarica-pmr3508", "kernel_id": "1564530"}, {"ref": "pedrocarvalhaes/pmr3508-2018-c19b8e5731", "kernel_id": "1563243"}, {"ref": "felipegdm/kernel4ec105d9b1", "kernel_id": "1560607"}, {"ref": "danielsousa/lightgbm-rfecv-bayessearchcv", "kernel_id": "1496348"}, {"ref": "rafaelafonso/pmr3508-2018-4c9fe55eab-householdincome", "kernel_id": "1560000"}, {"ref": "rafabl/pmr3508-2018-knn-test-1", "kernel_id": "1559663"}, {"ref": "indiagolf99/pmr3508-knn-normalization-and-variable-reduction", "kernel_id": "1560181"}, {"ref": "guilhermecmarques/pmr3508-2018-7b2def90a2-knn", "kernel_id": "1515575"}, {"ref": "esdonto/pmr3508-2018-1165842557", "kernel_id": "1560202"}, {"ref": "gustavof/pmr3508-2018-0f13d01361-t2", "kernel_id": "1561883"}, {"ref": "henriqueyda/pmr3508-2018-5f518d7037", "kernel_id": "1517273"}, {"ref": "dueiras/costa-rica-knn-prediction", "kernel_id": "1553908"}, {"ref": "godlee/first", "kernel_id": "1647090"}, {"ref": "brundohisashimi/t1-cr-pmr3508-2018-d6263791f1", "kernel_id": "1561208"}, {"ref": "marcelmk/pmr3508-knn-attempt-heads-only", "kernel_id": "1520066"}, {"ref": "mguinezi/pmr3508-2018-91dc8aec81pmr3508-knn-classifier", "kernel_id": "1534602"}, {"ref": "mguinezi/pmr3508-2018-91dc8aec81pmr3508-knn-costaricahhi", "kernel_id": "1534742"}, {"ref": "salesluiseduardo1/pmr3508-3c78111399-costa", "kernel_id": "1563885"}, {"ref": "caiofreitas/pmr3508-household-icome-costa-rica", "kernel_id": "1563697"}, {"ref": "hilstfelipe/pmr3508-2018-4c69ee14bd", "kernel_id": "1563743"}, {"ref": "rmagaldi/pmr3508-household-income-data-set-prediction", "kernel_id": "1564805"}, {"ref": "vmbenevides/pmr3508-2018-9ec6d2de6c-householdincome", "kernel_id": "1555829"}, {"ref": "thiago8989001/pmr3508-costa-rica-nb", "kernel_id": "1533875"}, {"ref": "stephaniehk/pmr3508-2018-knn", "kernel_id": "1562951"}, {"ref": "rodrigoep/pmr-3508-knnclassifier", "kernel_id": "1555129"}, {"ref": "rodrigoep/pmr3508-knn-classificador", "kernel_id": "1555259"}, {"ref": "pmr3508f20977e697/poverty-level-pmr3508-2018-f20977e697", "kernel_id": "1565263"}, {"ref": "lucasangelis2/kernel-cr-pmr3508", "kernel_id": "1532589"}, {"ref": "daquisu/pmr3508-2018-f40090e12d-2", "kernel_id": "1564417"}, {"ref": "vhenrique21/pmr3508-2018-f4fcf75dda", "kernel_id": "1564727"}, {"ref": "luizffs2/pmr3508-costa-rica-predictions", "kernel_id": "1559930"}, {"ref": "fetsai/pmr3508-knn", "kernel_id": "1528251"}, {"ref": "otaviomserra/pmr3508-costa-rica", "kernel_id": "1564573"}, {"ref": "dmarino1/tableaux", "kernel_id": "1457601"}, {"ref": "palopoli/pmr3508-2018-f92c77d8dc-costa-rica", "kernel_id": "1564566"}, {"ref": "vinimiquelin/pmr3508-knnclassifier-costa-rica", "kernel_id": "1560398"}, {"ref": "rafagv/pmr-3508-d73b94105c", "kernel_id": "1563231"}, {"ref": "kinhasan/pmr-3508-knn-classifier-42fc826da1", "kernel_id": "1560697"}, {"ref": "renan8429/pmr3508-classifier", "kernel_id": "1554990"}, {"ref": "gunovello/pmr3508-2018-08dbd26023", "kernel_id": "1563522"}, {"ref": "eduardota/pmr3508-564a67b5fb", "kernel_id": "1568639"}, {"ref": "eduardota/pmr3508-564a67b5fb-knn-classifier", "kernel_id": "1559183"}, {"ref": "fabiopimentel/kernelefd4ab3020", "kernel_id": "1564927"}, {"ref": "fabiopimentel/pmr3508-2018-8de1cfaf9e-projeto1", "kernel_id": "1564951"}, {"ref": "juliomoura/kernelae03bd929a", "kernel_id": "1563659"}, {"ref": "juliomoura/pmr3508-2018-a7e3e711b7-knn", "kernel_id": "1563728"}, {"ref": "juliomoura/pmr3508-2018-a7e3e711b7", "kernel_id": "1560499"}, {"ref": "gtutia/pmr3508-kernelff6a8f351c", "kernel_id": "1563570"}, {"ref": "fermalavasi/pmr3508-2018-0021b1a4a8-2", "kernel_id": "1559493"}, {"ref": "galopes/pmr3508-2018-906c67c924-costa-rica", "kernel_id": "1563900"}, {"ref": "vkiguchi/pmr3508-2018-cef3abfde0", "kernel_id": "1560644"}, {"ref": "kikomaru/pmr3508-2018-v2", "kernel_id": "1564683"}, {"ref": "fabiookina/pmr3508-2018-25ff54ec4f-costa-rica", "kernel_id": "1563912"}, {"ref": "gabrieloliva18/pmr3508-f7551d72e4-household", "kernel_id": "1602896"}, {"ref": "pmrdisciplina/versao-2-pmr3508-2018-d8c972cdfb", "kernel_id": "1557823"}, {"ref": "luangbbr/kernel5cfe193dc2", "kernel_id": "1554191"}, {"ref": "monizearabadgi/pmr3508-2018-knn-hhi", "kernel_id": "1540477"}, {"ref": "luisaheise/costa-rica-pmr3508-2018-c46dd66948", "kernel_id": "1562874"}, {"ref": "miura99/pmr3508-tarefa-1-base-householdincome", "kernel_id": "1559802"}, {"ref": "brayanarrietaalfaro/costa-rican-household-poverty-with-keras", "kernel_id": "1609826"}, {"ref": "rejaili/pmr3508-householdincomeclassifier", "kernel_id": "1545549"}, {"ref": "jujuba01/pmr3508-costa-rica-julia", "kernel_id": "1565078"}, {"ref": "elkose/pmr3508-2018-58cdb1c0be-atv2", "kernel_id": "1564396"}, {"ref": "kenzok/pmr3508-2018-8f7eddb273", "kernel_id": "1555363"}, {"ref": "vitorhdpmr/costarican-pmr3508", "kernel_id": "1564720"}, {"ref": "gabrielbianchi/exerc-cio-pmr-3508-costa-rican-household", "kernel_id": "1528436"}, {"ref": "danilopolidoro/pmr3508-costa-rica", "kernel_id": "1554218"}, {"ref": "danieldiasfl/pmr3508-2018-19e9f487b6-costarica", "kernel_id": "1556041"}, {"ref": "rodrigoobastos/pmr3508-2018-64bd65819c-knn", "kernel_id": "1564699"}, {"ref": "alysonharo/pmr3508-2018-399c14ff12costarica", "kernel_id": "1563732"}, {"ref": "marcusfpavani/pmr3508-marcuspavani-householdincome", "kernel_id": "1553784"}, {"ref": "guilhermepaina/pmr3508-kernel-costa-rica", "kernel_id": "1565011"}, {"ref": "akpmr3508/pmr3508-2018-6c890c4f4b-cr", "kernel_id": "1565237"}, {"ref": "kopisusuanget/poverty-scoring-using-multinomial-log-regression", "kernel_id": "1630117"}, {"ref": "shashanksagarjha/poverty-level-xgboost-95-precision-recall", "kernel_id": "1919873"}, {"ref": "youngdaniel/estimating-costa-rican-household-poverty-levels", "kernel_id": "1633271"}, {"ref": "jaaahaaa/poverty", "kernel_id": "1627999"}, {"ref": "hang1002/fork-of-fork-of-eda-fe-model-2-b0e0ab", "kernel_id": "1767468"}, {"ref": "hang1002/fork-of-eda-fe-model-2-b0e0ab", "kernel_id": "1767458"}, {"ref": "tharug/poverty-eda-modeling", "kernel_id": "2780078"}, {"ref": "manjeetsingh/costa-rica-poverty-exploration-kernel", "kernel_id": "2377617"}, {"ref": "prabhatkumarsahu/costa-rican-household-poverty-level-prediction", "kernel_id": "2316248"}, {"ref": "akverma/costa-rican-poverty-analysis", "kernel_id": "2886333"}, {"ref": "carlosan1708/my-first-kernel", "kernel_id": "2329025"}, {"ref": "xiaohaisu/machine-learning-559", "kernel_id": "2322783"}, {"ref": "jackpegler/costaricapoverty-4-0-smote", "kernel_id": "2747003"}, {"ref": "jxtz518/applied-machine-learning-is-feature-engineering", "kernel_id": "2035355"}, {"ref": "grishanov/6-costa-rican-household-poverty-level-prediction", "kernel_id": "2011795"}, {"ref": "woshichendu/costa-rica", "kernel_id": "2772457"}, {"ref": "shcherbakoff/costa-rica-povety-research", "kernel_id": "2597488"}, {"ref": "abusiddik/poverty-prediction-randomforest", "kernel_id": "2368255"}, {"ref": "corvuslee/costa-rican-household-poverty-level-rf-practice", "kernel_id": "2628456"}, {"ref": "kwonyoung234/clone-of-will-koehrsen-s-translated-in-korean", "kernel_id": "2897471"}, {"ref": "eamonsuen/simple-ensemble", "kernel_id": "2263809"}, {"ref": "lihess/pratice2", "kernel_id": "2877902"}, {"ref": "supermoooonjy/one-pick222", "kernel_id": "2223205"}, {"ref": "supermoooonjy/onepick-1", "kernel_id": "2202159"}, {"ref": "supermoooonjy/one-pick-df-n-h", "kernel_id": "2211479"}, {"ref": "varwolf/poor-pretiction-adaboost", "kernel_id": "2598292"}, {"ref": "varwolf/poor-prediction-xgboost", "kernel_id": "2583997"}, {"ref": "varwolf/poor-prediction-knn", "kernel_id": "2590299"}, {"ref": "varwolf/poor-prediction-sk-huigui", "kernel_id": "2589945"}, {"ref": "varwolf/lgbmclassifier", "kernel_id": "2609095"}, {"ref": "myxiaolu/tese-new", "kernel_id": "2601354"}, {"ref": "mokhles96/xgboost-kernel", "kernel_id": "2618198"}, {"ref": "noorkhzaimiah/costarican", "kernel_id": "2639638"}, {"ref": "treybean/costa-rican-household-poverty-level-prediction-2", "kernel_id": "3071004"}, {"ref": "jsinger5/costa-rica-poverty-exploration-213r", "kernel_id": "3342657"}, {"ref": "g3rtsch3/homework-4-econ-213r", "kernel_id": "3258828"}, {"ref": "rakeshm6295/feature-engineering-using-boruta", "kernel_id": "3753089"}, {"ref": "heisenberg140/random-forest-and-light-gbm", "kernel_id": "3302390"}, {"ref": "naamaavi/costa-rican-household-poverty-levels", "kernel_id": "3336194"}, {"ref": "bellgriffin/homework-4", "kernel_id": "3259259"}, {"ref": "vsramaraj/costa-rican-modeling-and-tuning", "kernel_id": "3773356"}, {"ref": "nageshanumala/costa-rican-modelling-with-different-estimators", "kernel_id": "3583630"}, {"ref": "velladurai/costa-rican-modeling-and-tuning", "kernel_id": "3843710"}, {"ref": "hemantguru9/costa-rica-poverty-analysis-multiple-modelling", "kernel_id": "3624598"}, {"ref": "dattavivek/costa-rica-with-different-models", "kernel_id": "3958981"}, {"ref": "x09anirudh/costa-rican-household-poverty-level-prediction", "kernel_id": "3502175"}, {"ref": "yjlee8899/costa-rica-household-poverty-level", "kernel_id": "4891528"}, {"ref": "yjlee8899/costa-rican-modeling-and-tuning", "kernel_id": "4892448"}, {"ref": "yjlee8899/my-first-kernel-stacking", "kernel_id": "4892637"}, {"ref": "georgepopescuc92/kernelf01ca1a41e", "kernel_id": "4701715"}, {"ref": "utamjshervi/costa-rican", "kernel_id": "4056968"}, {"ref": "rdewes/iesb-miner-ii-aula-08-parte-2", "kernel_id": "4151352"}, {"ref": "gauravlogical/knn-costa-rican-poverty-prediction-beginners", "kernel_id": "4065823"}, {"ref": "csy2017/kernel74a1107fef", "kernel_id": "4100179"}, {"ref": "srikanth403/costarica-prediction", "kernel_id": "4010439"}, {"ref": "keviv24/costa-rica-assignment-vivek-goyal", "kernel_id": "4027247"}, {"ref": "pealdasgupta/costa-rican-household-poverty-level-prediction", "kernel_id": "4049931"}, {"ref": "magbul/kernelb620d1b299", "kernel_id": "4088643"}, {"ref": "divyakh/costa-rica-problem", "kernel_id": "4034479"}, {"ref": "mhashimkhan/poverty-level-prediction-with-different-models", "kernel_id": "4083966"}, {"ref": "pankaj365/costa-rican-poverty-prediction", "kernel_id": "4061830"}, {"ref": "muksamrat/costa-rica-predicting-poverty-with-estimators", "kernel_id": "4046296"}, {"ref": "rajkumar045/costa-rican-raj-sara-jagadees", "kernel_id": "4100360"}, {"ref": "anantha1976/kernel3acb848adb", "kernel_id": "4090221"}, {"ref": "johrijitesh/costa-rica-explore-data-and-visualisation", "kernel_id": "4060828"}, {"ref": "sk6267/costa-rica-household-poverty-level", "kernel_id": "4090616"}, {"ref": "sidiclei/iesb-miner-ii-aula-08-parte-2", "kernel_id": "4151385"}, {"ref": "wqd180113/umcoursework", "kernel_id": "4059048"}, {"ref": "shirellamosi/analysis-models-comparison", "kernel_id": "4712946"}, {"ref": "anajoshi/costa-rican-poverty-level-prediction", "kernel_id": "4074098"}, {"ref": "akumaldo/household-poverty-eda-and-lgb-model", "kernel_id": "4514437"}, {"ref": "yaangjun/yaangjun", "kernel_id": "4380043"}, {"ref": "gemihaha/costa", "kernel_id": "4643700"}, {"ref": "castlebin12/catboost-better", "kernel_id": "4667488"}, {"ref": "dbdb4001/kernel220af5c41e", "kernel_id": "4668312"}, {"ref": "jjungeunzzu/costa-rica-poverty-exploration-kernel", "kernel_id": "4670804"}, {"ref": "jjungeunzzu/eda-model", "kernel_id": "4670869"}, {"ref": "playminjae/kernel1e861cc76a", "kernel_id": "4605799"}, {"ref": "tdpark/kernel8900e3abe6", "kernel_id": "4592198"}, {"ref": "heystar7/kernel0f44f46057", "kernel_id": "4654289"}, {"ref": "chisong/kernel2a109f3bef", "kernel_id": "4555280"}, {"ref": "ksw10203/kernel8a68777a58", "kernel_id": "4607997"}, {"ref": "newscaraa/poverty-level-prediction", "kernel_id": "4007570"}, {"ref": "kimtaewan/kernel0a06c82478", "kernel_id": "4557357"}, {"ref": "alloulir/costa-rican-household-poverty-kernel-1", "kernel_id": "5023359"}, {"ref": "lucasnseq97/pmr3508-2019-56-knn-classifier-cr-household", "kernel_id": "5606969"}, {"ref": "marcosfsaito/adultuci", "kernel_id": "5725752"}, {"ref": "higorsc/pmr3508-2019-42-knn-adult-e-household", "kernel_id": "5911850"}, {"ref": "elytis08/pmr3508-2019-70-costarica", "kernel_id": "5748881"}, {"ref": "ryukio/pmr3508-2019-80-costa-rican", "kernel_id": "5966115"}, {"ref": "lhsakurai/pmr3508-2019-55-hhincome", "kernel_id": "5722586"}, {"ref": "ybabakhin/errored-kaggledays-china-tabular", "kernel_id": "6278945"}, {"ref": "eenglin/kernel716462da47", "kernel_id": "6481869"}, {"ref": "girish01/costarica-poverty-dataset", "kernel_id": "6916443"}, {"ref": "spuchalski/extratreesclassifier", "kernel_id": "6219563"}, {"ref": "bomba1990/pobresa-de-costa-rica-tensorflow", "kernel_id": "6365600"}, {"ref": "ankursxn/costaricanpovertyprediction-eda-and-randomforest", "kernel_id": "6517630"}, {"ref": "santhoshkatta/data-exploration-and-simple-knn", "kernel_id": "6450451"}, {"ref": "bodhisattvadash/costa-rica-proverty-prediction-eda", "kernel_id": "6834775"}, {"ref": "subham0312/household-poverty-level-prediction-ime672a", "kernel_id": "6841236"}, {"ref": "torresxavier/kernel-costarican-poverty-analysis-xt", "kernel_id": "6638259"}, {"ref": "jxtz518/understanding-the-problem-is-the-key", "kernel_id": "7967599"}, {"ref": "bwahns/costaricanhouseholdpovertylevelprediction-eric", "kernel_id": "7413894"}, {"ref": "marcosvafg/iesb-miner-ii-aula-05-random-forest", "kernel_id": "7935237"}, {"ref": "ivanmarcal/ivan-costa-rican-random-forest", "kernel_id": "7935246"}, {"ref": "virgilia/iesb-miner-ii-aula-06-random-forest", "kernel_id": "7935263"}, {"ref": "hyewoin/costa-rican-household-poverty-level-prediction", "kernel_id": "7131806"}, {"ref": "baekyujin/costa-rican-household-poverty-level-prediction", "kernel_id": "8643863"}, {"ref": "masditechblog/income-qualification-prediction", "kernel_id": "9709068"}, {"ref": "erikassantos/costa-rican", "kernel_id": "10393509"}, {"ref": "kakacosta0810/t2-costa-rica-household-poverty-level-prediction", "kernel_id": "10369038"}, {"ref": "perene/costa-rican-household-poverty-level-prediction", "kernel_id": "10368954"}, {"ref": "cr0l3y/avl-mine2", "kernel_id": "10384351"}, {"ref": "enzorodrigues/costa-rican-household-poverty-level-prediction", "kernel_id": "10254114"}, {"ref": "simonesymon/1931133125-aula-05-random-forest", "kernel_id": "10546899"}, {"ref": "stonemasons/tml-project", "kernel_id": "10262425"}, {"ref": "abhisheksabnis/costa-rican-household-poverty", "kernel_id": "10496982"}, {"ref": "dcarretero/notebook-xgb", "kernel_id": "11277315"}, {"ref": "dcarretero/notebook-rf", "kernel_id": "11229312"}, {"ref": "vignesh1404/v-rf-model", "kernel_id": "11674492"}, {"ref": "vignesh1404/v-xgbt-model", "kernel_id": "11990786"}, {"ref": "radhakrishnasp/costa-rican-household-poverty-level-prediction", "kernel_id": "11281540"}, {"ref": "manoeldias/manoel-minerii-random-forest-versaofinal", "kernel_id": "11593444"}, {"ref": "asgvitor/1931133123-trabalho-1-vitor-alves", "kernel_id": "11374928"}, {"ref": "camilamarques/dataset-costa-rica", "kernel_id": "11373394"}, {"ref": "pauloperissin/projeto-final-paulo-perissin", "kernel_id": "11556945"}, {"ref": "marcilonsilvacunha/marcilon-1931133129", "kernel_id": "11563559"}, {"ref": "simonesymon/1931133125", "kernel_id": "11055283"}, {"ref": "anapaulasandes/iesb-miner-ii-aula-05-random-forest", "kernel_id": "11505807"}, {"ref": "suelemataides/trabalho-final-suelem", "kernel_id": "11599600"}, {"ref": "giovannilourenzatto/trabalhomining", "kernel_id": "11138985"}, {"ref": "alancardek/trabalho-final-data-mining-e-machine-learning", "kernel_id": "11536565"}, {"ref": "marcosvafg/iesb-graduacao-cia028-costa-rica", "kernel_id": "12383586"}, {"ref": "willsonbritto/iesb-graduacao-cia028-costa-rica-wilson-b", "kernel_id": "12797269"}, {"ref": "fabiolaporte/iesb-graduacao-cia28-costa-rica", "kernel_id": "12787490"}, {"ref": "vhfleury/victor-hugo-trabalho-final-costa-rica", "kernel_id": "12788547"}, {"ref": "hiro1005/costa-rican-household-poverty-level-prediction", "kernel_id": "12057692"}, {"ref": "nancybocaz/notebookc88935b9a5", "kernel_id": "12117487"}, {"ref": "willsonbritto/cia028-costa-rica-c-desbalanceadas-wilson-b", "kernel_id": "13373352"}, {"ref": "vcaquilpan/costa-rican-household-prediction", "kernel_id": "14756360"}, {"ref": "chachiawacef/costa-rican-poverty-level-prediction-0-02-error", "kernel_id": "14957492"}, {"ref": "denismarcio/iesb-miner-ii-trabalho-final", "kernel_id": "14634317"}, {"ref": "lrodor/p9043-cdna-20203-projeto-final", "kernel_id": "15579314"}, {"ref": "akemipatricia/iesb-trabalho-final-p-s", "kernel_id": "15843491"}, {"ref": "dengjinyang/cleaned-model", "kernel_id": "15745332"}, {"ref": "igorrss652/projeto-final-data-mining-ii-eda", "kernel_id": "15604337"}, {"ref": "igorrss652/projeto-final-data-mining-ii-modelagem", "kernel_id": "15579379"}, {"ref": "matheusbreno/notebook172d4ef56b", "kernel_id": "15903139"}, {"ref": "jeanmarques/costa-rica-household-poverty", "kernel_id": "15775889"}, {"ref": "thalesyusamluidaluz/iesb-projeto-dm2", "kernel_id": "15730306"}, {"ref": "pollyanasa/trabalho-costa-rica", "kernel_id": "15482451"}, {"ref": "saindodacrise/iesb-miner-ii", "kernel_id": "15730145"}, {"ref": "raquelreis/xgboost-classifier", "kernel_id": "15502163"}, {"ref": "caiocoelho/trabalho-dmmc-2", "kernel_id": "15901630"}, {"ref": "snehapalaniappan/xgb-hyperparameter-tuning", "kernel_id": "15362281"}, {"ref": "pauloteddo/dmml-trabalho-final", "kernel_id": "15683507"}, {"ref": "ronaldolduarte/iesb-miner-ii-random-forest", "kernel_id": "15117285"}, {"ref": "mos3santos/trabalho-final-data-mining", "kernel_id": "15839600"}, {"ref": "joaopedro323/projeto-final-dm-ii-jprf", "kernel_id": "15901515"}, {"ref": "mamta1004/income-qualification-random-forest", "kernel_id": "16686890"}, {"ref": "kavenlee/costarican-1", "kernel_id": "16870144"}, {"ref": "anubhav10mishra/hidden-insights-useful-features-and-random-forest", "kernel_id": "17657189"}, {"ref": "bamboogong/costa-rica-poverty-level-prediction-claire", "kernel_id": "17095683"}, {"ref": "rendyk/automl-for-classification", "kernel_id": "17552444"}, {"ref": "rendyk/multi-classclassification-accuracy-povertylevel", "kernel_id": "17482994"}, {"ref": "rendyk/automl-for-classification-part2", "kernel_id": "17680282"}, {"ref": "jaysrivastav/notebook09acc79b53", "kernel_id": "17237379"}, {"ref": "rsesha/keras-puerto-rican-multiclass-rank-262", "kernel_id": "18173978"}, {"ref": "yojulab/learn-costa-rican-poverty-level", "kernel_id": "18437792"}, {"ref": "kimhyelin/costa-rican-hl", "kernel_id": "18798362"}, {"ref": "yurimhwang/costa-rican-yr", "kernel_id": "18900243"}, {"ref": "hyunhp/proverty-prediction-wrtten-by-will-and-youhan", "kernel_id": "18798333"}, {"ref": "nanyoci/costa-rica-final-notebook", "kernel_id": "19826151"}, {"ref": "danilorosmaninho/costa-rican-household-poverty-level-danilo", "kernel_id": "19710566"}, {"ref": "zhangshizhe/notebook-final", "kernel_id": "20110853"}, {"ref": "alicewulim/costa-rican-poverty-feat-eng", "kernel_id": "20380961"}, {"ref": "hyunhp/a-complete-introduction-and-walkthrough-by-will", "kernel_id": "20304647"}, {"ref": "wilmheng/notebooka26100ccf0", "kernel_id": "20050195"}, {"ref": "zhangkunkun/notebookccca007682", "kernel_id": "20062681"}, {"ref": "sagefoh/notebooke27c7213f2", "kernel_id": "21050712"}, {"ref": "yuejinzhao/a-complete-introduction-and-walkthrough", "kernel_id": "21679229"}, {"ref": "mtham002/costa-rica-poverty", "kernel_id": "21837052"}, {"ref": "alexlim56/costa-lightgbm", "kernel_id": "21802717"}, {"ref": "ying0cheng/karnage", "kernel_id": "21910762"}, {"ref": "bjunzhang/analytics-software-notebook-20211020", "kernel_id": "21353451"}, {"ref": "alexlim56/xgboost2", "kernel_id": "22346105"}, {"ref": "ying0cheng/trial", "kernel_id": "22114287"}, {"ref": "farzadnaghshin/notebook2956e7e676", "kernel_id": "23851280"}, {"ref": "lloydwang/cz4041-costa-rican", "kernel_id": "24340469"}, {"ref": "suchighurka/income-qualification-poverty-level-prediction", "kernel_id": "24306063"}, {"ref": "sudharsanasaithambi/rds-notebook-1", "kernel_id": "25507856"}, {"ref": "nishasnr/grp08-cz4041", "kernel_id": "26522681"}, {"ref": "sudharsanasaithambi/rds-feature-report", "kernel_id": "26150259"}, {"ref": "vuvanphuoc/my-submission", "kernel_id": "27396162"}, {"ref": "vuvanphuoc/data-mining", "kernel_id": "27248743"}, {"ref": "djaberomarkahlouche/cat-lgbm-xgb-classifier", "kernel_id": "29801885"}, {"ref": "zineeddineboumaza/poverty-level-prediction", "kernel_id": "31648674"}, {"ref": "rodionshkokov/theory-of-statistic-solutions-final", "kernel_id": "33492799"}, {"ref": "aokunwd25/lightgbm-aonotakehiro", "kernel_id": "33916994"}, {"ref": "junseo/notebook1eb753605b", "kernel_id": "36753172"}, {"ref": "alkyne/costa-rican-household", "kernel_id": "36203259"}, {"ref": "minsukim96/notebook2d2511c7cb", "kernel_id": "36788694"}, {"ref": "minchaelim/costa-rican-household", "kernel_id": "36794658"}, {"ref": "jwj51720/kucc-0407-a-complete-introduction-and-walkthrough", "kernel_id": "36934426"}, {"ref": "nightfury1103/costa-rican", "kernel_id": "38391534"}, {"ref": "noobhocai/ptdltm-seminar", "kernel_id": "38682786"}, {"ref": "ngocnguyen2912/costarica-seminar13", "kernel_id": "38737033"}, {"ref": "akhoa12345/ptdltm", "kernel_id": "38269435"}, {"ref": "amankumar234/costa-rican-household-poverty-level-prediction", "kernel_id": "43323153"}, {"ref": "randyli2/costa-rican-poverty-starter", "kernel_id": "44107814"}, {"ref": "zackgreinke/my-4th-costa-rican-household-poverty-level-predi", "kernel_id": "52193990"}, {"ref": "jihunhyeon/costa-rican-household-poverty-level-prediction", "kernel_id": "52504363"}, {"ref": "minjeongv/notebook0c20c81c0b", "kernel_id": "52646144"}, {"ref": "hanpil/240314", "kernel_id": "53286805"}, {"ref": "yuicao/a-complete-introduction-and-walkthrough", "kernel_id": "54756466"}, {"ref": "justdylan/seminar-ptdltm", "kernel_id": "56740312"}, {"ref": "csmohamedayman/ml-catg-porto-seguro-s-safe-driver-prediction", "kernel_id": "57322751"}, {"ref": "csmohamedayman/ml-catg-nlp-fake-news", "kernel_id": "69423323"}, {"ref": "csmohamedayman/ml-catg-costa-rican-household-poverty-level", "kernel_id": "69684033"}, {"ref": "csmohamedayman/eda-tab-costa-rican-household-poverty-level", "kernel_id": "75453819"}, {"ref": "csmohamedayman/eda-tab-titanic-disaster", "kernel_id": "77058708"}, {"ref": "csmohamedayman/eda-txt-fake-news", "kernel_id": "77526454"}, {"ref": "csmohamedayman/eda-tab-microsoft-malware-prediction", "kernel_id": "77389413"}, {"ref": "csmohamedayman/eda-tab-santander-customer-transaction", "kernel_id": "77384076"}, {"ref": "csmohamedayman/dl-catg-costa-rican-household-poverty-level", "kernel_id": "78559158"}, {"ref": "raditya0/tabular-bansos-model", "kernel_id": "121665494"}, {"ref": "abdomahfouz1/costa-rican-household-poverty-level-prediction", "kernel_id": "132444993"}, {"ref": "hagarmesbah/costa-rican-household-poverty-level-prediction", "kernel_id": "134193579"}]}
{"competition_id": "9847", "kernels": [{"ref": "elbouziady/a-beginner-s-approach-to-classification", "kernel_id": "1367197"}, {"ref": "prabhat27/gradient-boosting-to-find-suitable-charity-donors", "kernel_id": "1951719"}, {"ref": "pacuna/pipeline-example", "kernel_id": "1206121"}, {"ref": "talgatk/finding-donors-gradient-boosting-classifier", "kernel_id": "1862997"}, {"ref": "deepumon/kernel47913d3c31", "kernel_id": "2932538"}, {"ref": "samirsheriff/project", "kernel_id": "3474979"}, {"ref": "volhaleusha/ml-charity-eda-model-tuning-and-blend", "kernel_id": "3826610"}, {"ref": "freya94/finding-donors", "kernel_id": "4804583"}, {"ref": "ezracook0/model-stacking", "kernel_id": "4100668"}, {"ref": "patrickdeguzman/eda-pipeline-randomsearchcv-practice", "kernel_id": "4355131"}, {"ref": "rakesh835/predicting-donors-for-charityml", "kernel_id": "6169502"}, {"ref": "codehax41/charity-donor-using-gbc", "kernel_id": "6571877"}, {"ref": "maielnagdy/mai-kernel001", "kernel_id": "8059206"}, {"ref": "yasmenamr/kernel44540f3e36", "kernel_id": "8081100"}, {"ref": "mostafanabilll/kaggle-charity", "kernel_id": "8084862"}, {"ref": "ngthianhphuong/finding-donors-xgboost", "kernel_id": "9977248"}, {"ref": "digvijayyadav/mlcharity-predict-model", "kernel_id": "9335787"}, {"ref": "brendalf/data-science-for-social-good-in-practice", "kernel_id": "9311622"}, {"ref": "sanjitschouhan/udacity-finding-donors", "kernel_id": "10352249"}, {"ref": "angelusualle/charityml", "kernel_id": "10165247"}, {"ref": "rahulrajpandey31/udacity-ml-charity-guide-94-875", "kernel_id": "10776920"}, {"ref": "billchang555/finding-donors-using-supervised-learning", "kernel_id": "11228666"}, {"ref": "sachinsharma1123/income-prediction-with-acc-87", "kernel_id": "11233805"}, {"ref": "ankitnarang/charityml-eda-modeling", "kernel_id": "11913508"}, {"ref": "benjaminhthomas/95-5-accurate-classifier", "kernel_id": "12008655"}, {"ref": "rishabh6377/udacity-ml-charity-competition", "kernel_id": "13771157"}, {"ref": "shaimaa1234/finding-donors-classification", "kernel_id": "15458944"}, {"ref": "johnkoumentis/fork-of-ml-donors-project", "kernel_id": "16073333"}, {"ref": "simrand/finding-donors-for-charity-ann-84", "kernel_id": "20300734"}, {"ref": "priynka88/are-you-philanthropist-enough", "kernel_id": "22338603"}, {"ref": "homegahed/finding-donors-for-charity-ml", "kernel_id": "23630791"}, {"ref": "khongjiaren/udacity-ml-charity-guide-94-875", "kernel_id": "23827768"}, {"ref": "esraaashraf99/charity-donors", "kernel_id": "24835164"}, {"ref": "m0hammednasser/finding-donners", "kernel_id": "24535803"}, {"ref": "satyanarayanam/pipeline-example", "kernel_id": "25195372"}, {"ref": "hassanshahin/logistic-regression-study-notes-in-arabic", "kernel_id": "25593730"}, {"ref": "khalilbouzoffara/ml-charity-finding-donors", "kernel_id": "25377685"}, {"ref": "masahironoumi/category-numerical-cast-rf", "kernel_id": "27488441"}, {"ref": "masahironoumi/applying-tensorflow-to-ml-charity2", "kernel_id": "27232713"}, {"ref": "shaunyong/charity-donors", "kernel_id": "29011241"}, {"ref": "emadmagdy72/finding-donors-for-charityml", "kernel_id": "29197122"}, {"ref": "amirwg/ml-competition-helpful-visualizations-and-tools", "kernel_id": "29855656"}, {"ref": "basel99/most-likely-to-donate-to-the-charity", "kernel_id": "31394437"}, {"ref": "lucienaxiao/udacity-ml-charity-competition", "kernel_id": "31512497"}, {"ref": "haneenhossam/finding-donors-for-charity-udacity-ml-competition", "kernel_id": "32615270"}, {"ref": "sohida/census-income-eda-modeling", "kernel_id": "32209808"}, {"ref": "guirau/finding-donors-for-charityml", "kernel_id": "35810363"}, {"ref": "sarmitamajumdar/notebook3470bec003", "kernel_id": "36247919"}, {"ref": "hossamahmedsalah/udacity-ml-nanodegree", "kernel_id": "37054059"}, {"ref": "baraaalsedih/udacity-ml-charity-competition", "kernel_id": "58402376"}, {"ref": "mohamedzanaty/charity-ml-adaboost-and-svm", "kernel_id": "64709614"}, {"ref": "gobindsingh82/submit-prediction-udacity-ml-charity-competition", "kernel_id": "68654777"}, {"ref": "shuzhan21/full-analysis-adaboost-nn", "kernel_id": "68470790"}, {"ref": "jdalmasso/charityml-ensemble", "kernel_id": "71802916"}, {"ref": "ahmedmagdi23/udacity-eda-prediction", "kernel_id": "86153907"}]}
{"competition_id": "9857", "kernels": []}
{"competition_id": "9859", "kernels": []}
{"competition_id": "9864", "kernels": []}
{"competition_id": "9876", "kernels": []}
{"competition_id": "9878", "kernels": [{"ref": "andreisaw/mim-max-scaling-pca-extratrees", "kernel_id": "2779131"}, {"ref": "sergeyzlobin/lightgbm-on-raw-images-5-fold", "kernel_id": "2575715"}, {"ref": "sergeyzlobin/pca-with-extra-trees-5-fold", "kernel_id": "2573477"}]}
{"competition_id": "9891", "kernels": []}
{"competition_id": "9902", "kernels": []}
{"competition_id": "9915", "kernels": []}
{"competition_id": "9916", "kernels": []}
{"competition_id": "9917", "kernels": [{"ref": "andrewrib/well-regularized-deep-convolutional-network", "kernel_id": "1137097"}, {"ref": "andrewrib/deep-convolutional-network", "kernel_id": "1134030"}, {"ref": "andrewrib/dai-june-2018-workshop-notebook-5", "kernel_id": "1110811"}, {"ref": "andrewrib/dai-june-2018-workshop-notebook-2", "kernel_id": "1110524"}, {"ref": "andrewrib/dai-june-2018-workshop-notebook-3", "kernel_id": "1110566"}, {"ref": "andrewrib/dai-june-2018-workshop-notebook-4", "kernel_id": "1110654"}, {"ref": "andrewrib/dai-june-2018-workshop-notebook-1", "kernel_id": "1110447"}]}
{"competition_id": "9933", "kernels": [{"ref": "wcukierski/bare-bones-script-loop-with-comments", "kernel_id": "1729829"}, {"ref": "zhangyang/reciprocal-of-previous-10-day-benchmark", "kernel_id": "1996057"}, {"ref": "zhangyang/same-as-previous-10day-benchmark", "kernel_id": "1983007"}, {"ref": "jannesklaas/lb-0-63-xgboost-baseline", "kernel_id": "1750396"}, {"ref": "ashkaan/lstm-baseline", "kernel_id": "1895348"}, {"ref": "danofer/two-sigma-financial-news-export", "kernel_id": "1900562"}, {"ref": "pennacchio/env-var07", "kernel_id": "1982824"}, {"ref": "bazylidebowski/baseline-and-explore", "kernel_id": "1951315"}, {"ref": "s4sarath/1-baseline-tf-neural-network", "kernel_id": "1919721"}, {"ref": "amitabhac/market-news-nn", "kernel_id": "1986328"}, {"ref": "etherqua/market-data-nn-baseline", "kernel_id": "1896622"}, {"ref": "bguberfain/a-simple-model-using-the-market-and-news-data", "kernel_id": "1737526"}, {"ref": "poznyakovskiy/inverse-scoring-function-makes-a-bad-cost-function", "kernel_id": "1842917"}, {"ref": "poznyakovskiy/naive-prediction", "kernel_id": "1754586"}, {"ref": "vinodmang/kernel6ec33a456a", "kernel_id": "1973277"}, {"ref": "pchitta/copytrendbaselinelbscore0-57", "kernel_id": "1794013"}, {"ref": "alorozco53/a-model-that-uses-a-recurrent-neural-net", "kernel_id": "1887901"}, {"ref": "mathan/clusters-of-assets", "kernel_id": "1763724"}, {"ref": "rspadim/old-but-gold-python-packages-list", "kernel_id": "1892530"}, {"ref": "rspadim/parse-ric-stock-code-exchange-asset", "kernel_id": "1892592"}, {"ref": "rspadim/encoding-assetcode-exchange-information", "kernel_id": "1892797"}, {"ref": "maxwell110/naive-experiment-on-evaluation-metric", "kernel_id": "1776218"}, {"ref": "saif1234/exploration-pre-analysis", "kernel_id": "1921765"}, {"ref": "wrosinski/lgbm-shifted-aggregates-example", "kernel_id": "1913346"}, {"ref": "igauty/lb-0-6326-tuned-xgboost-baseline-cb915c", "kernel_id": "1833573"}, {"ref": "ankur310794/data-geek-bot-two-sigma-automated-eda-v2", "kernel_id": "1729198"}, {"ref": "prabhatbara/adding-stock-indicators-and-visualization", "kernel_id": "1734694"}, {"ref": "sassy19a/two-sigma-eda-market-data", "kernel_id": "1735476"}, {"ref": "ryancaldwell/learn-how-to-use-module", "kernel_id": "1789878"}, {"ref": "leekltw1/data-analysis", "kernel_id": "1954602"}, {"ref": "kredshow/wtf-the-score-of-perfect-predictions-is-0-22", "kernel_id": "1848997"}, {"ref": "dmitrypukhov/eda-and-lstm-with-generator-for-market-and-news", "kernel_id": "1923769"}, {"ref": "bielrv/two-sigma-extensive-eda", "kernel_id": "1743189"}, {"ref": "artgor/eda-feature-engineering-and-everything", "kernel_id": "1737995"}, {"ref": "savasy/building-training-set-from-news-and-market", "kernel_id": "1944933"}, {"ref": "savasy/building-train-data-with-news-and-market", "kernel_id": "1944656"}, {"ref": "davero/market-data-only-baseline", "kernel_id": "1794071"}, {"ref": "alluxia/lb-0-6326-tuned-xgboost-baseline", "kernel_id": "1754733"}, {"ref": "nicoforteza/market-data-understanding", "kernel_id": "1734775"}, {"ref": "anirudhvaranasi/first-notebook-predicting-stocks", "kernel_id": "1841147"}, {"ref": "johanvandenheuvel/for-beginners-wip", "kernel_id": "1741859"}, {"ref": "hsliuustc/mp-xgb-baseline-3d5873", "kernel_id": "1795287"}, {"ref": "bcabcae/lstm-model-on-market-data", "kernel_id": "1996381"}, {"ref": "ashishpatel26/bird-eye-view-of-two-sigma-nn-approach", "kernel_id": "1734464"}, {"ref": "ashishpatel26/light-gbm-on-market-data", "kernel_id": "1735862"}, {"ref": "ashishpatel26/two-sigma-lightgbm-vs-xgboost-vs-extratree", "kernel_id": "1750744"}, {"ref": "pestipeti/simple-eda-two-sigma", "kernel_id": "1730088"}, {"ref": "fox10225fox/lb-0-63-xgboost-baseline", "kernel_id": "1839625"}, {"ref": "codlife/baseline-with-xgb", "kernel_id": "1904683"}, {"ref": "codlife/a-framework-to-use-news-which-can-imp-score-in-lb", "kernel_id": "1993744"}, {"ref": "codlife/with-news-10-31", "kernel_id": "1992828"}, {"ref": "redhood1905/basix-eda", "kernel_id": "1803406"}, {"ref": "arunkumarramanan/market-data-nn-baseline", "kernel_id": "1893118"}, {"ref": "gaussmake1994/xgboost-scikit-learn-validation-pipeline", "kernel_id": "1979345"}, {"ref": "team6thsense/my-two-sigma-cents-only", "kernel_id": "1753373"}, {"ref": "patrickhyland/eda-and-submission", "kernel_id": "1790123"}, {"ref": "addavner/test-python-notebook-some-vizu", "kernel_id": "1896307"}, {"ref": "haterol/market-open-price-error", "kernel_id": "1980199"}, {"ref": "jatinbalodhi/eda-twosigma-market-prediction", "kernel_id": "1760334"}, {"ref": "sunmiyoon/working-english-korean-let-s-eda", "kernel_id": "1775585"}, {"ref": "konohayui/two-sigma-market-news-data-eda", "kernel_id": "1746915"}, {"ref": "konohayui/apply-t-sne-on-news", "kernel_id": "1916268"}, {"ref": "suchith0312/multiple-time-based-validation-try-xgb", "kernel_id": "1967704"}, {"ref": "liyadi/two-sigma-eda", "kernel_id": "1747726"}, {"ref": "eamanu/let-s-start-trading-eda-wip", "kernel_id": "1797990"}, {"ref": "youhanlee/simple-quant-features-using-python", "kernel_id": "1744977"}, {"ref": "opsygirl/stock-market-prediction", "kernel_id": "1968530"}, {"ref": "shaz13/simple-exploratory-data-analysis-on-two-sigma", "kernel_id": "1925535"}, {"ref": "dmdm02/complete-eda-voting-lightgbm", "kernel_id": "1786485"}, {"ref": "sjdlloyd/it-s-fake-news-this-is-top-of-the-leaderboard", "kernel_id": "1730311"}, {"ref": "ytokmakov/tell-her-about-bayes-and-350000-return", "kernel_id": "1780868"}, {"ref": "returnofsputnik/your-validation-strategy-is-misleading", "kernel_id": "1953512"}, {"ref": "returnofsputnik/feature-engineer-to-improve-your-score-v2", "kernel_id": "1852667"}, {"ref": "returnofsputnik/remove-2007-and-2008-data", "kernel_id": "1852192"}, {"ref": "returnofsputnik/naive-model-always-buy", "kernel_id": "1739116"}, {"ref": "sunqiankun/day-2-understand-data-basic", "kernel_id": "1909457"}, {"ref": "sunqiankun/day-1", "kernel_id": "1899396"}, {"ref": "sunqiankun/day3-understand-data2", "kernel_id": "1943724"}, {"ref": "sunqiankun/day3-understand-data", "kernel_id": "1935260"}, {"ref": "blackboards/use-1w-rows-to-reach-0-5", "kernel_id": "1776933"}, {"ref": "sivaadi92/experiments", "kernel_id": "1766365"}, {"ref": "sivaadi92/using-decision-trees-with-market-data", "kernel_id": "1969463"}, {"ref": "michellzhou010/two-sigma-news-official-getting-started-kernel", "kernel_id": "1764859"}, {"ref": "nareyko/market-return-estimation-and-bad-data-detection", "kernel_id": "1956670"}, {"ref": "nareyko/returnraw-formula-and-future-past-correlation", "kernel_id": "1956132"}, {"ref": "nareyko/prediction-based-on-test-data", "kernel_id": "1986668"}, {"ref": "nareyko/google-word2vec-kmeans-pca", "kernel_id": "1998459"}, {"ref": "carloslopezmor/two-sigma-exploration-data-baseline", "kernel_id": "1734023"}, {"ref": "oskarkarnblad/exploratory-data-analysis-market-data", "kernel_id": "1830407"}, {"ref": "facutk/twosigma-news-stock-analysis", "kernel_id": "1850816"}, {"ref": "jairomateo/kernel795c6ac4e1", "kernel_id": "1943956"}, {"ref": "borja042/two-sigma-news-first-try-0f3110", "kernel_id": "1815420"}, {"ref": "borja042/freestyle-firsttry", "kernel_id": "1885278"}, {"ref": "christofhenkel/market-data-nn-baseline", "kernel_id": "1890369"}, {"ref": "sergeykalutsky/lstm-model-on-market-data", "kernel_id": "1989749"}, {"ref": "richardgg93/two-sigma-news-first-try", "kernel_id": "1770535"}, {"ref": "himanshujoshi13/new-model", "kernel_id": "1888769"}, {"ref": "pavansanagapati/two-sigma-simple-exploratory-data-analysis", "kernel_id": "1745440"}, {"ref": "math2do/assignment5", "kernel_id": "1951937"}, {"ref": "fpeccia/a-simple-metric-test", "kernel_id": "1796145"}, {"ref": "dandm1/market-data-analysis-applying-ppca", "kernel_id": "1814490"}, {"ref": "silvernine/lb-0-53-market-news-xgboost-for-beginners", "kernel_id": "1968537"}, {"ref": "badrshuaib/kernelf277096d86", "kernel_id": "1864704"}, {"ref": "chocozzz/two-sigma-news-simple-eda-prophet-nlp", "kernel_id": "1731324"}, {"ref": "chrisdataset/kernel-7-ottobre", "kernel_id": "1814235"}, {"ref": "marketneutral/the-fallacy-of-encoding-assetcode", "kernel_id": "1877358"}, {"ref": "marketneutral/eda-what-does-mktres-mean", "kernel_id": "1859090"}, {"ref": "marketneutral/eda-security-master-analysis", "kernel_id": "1960331"}, {"ref": "zikazika/neural-networks-2sigma", "kernel_id": "1927868"}, {"ref": "adrian1acoran/fork-of-fork-of-fork-of-fork-of-pi-3-1415-8-05d62c", "kernel_id": "1872644"}, {"ref": "adrian1acoran/fork-of-3-1415-876d61", "kernel_id": "1908581"}, {"ref": "adrian1acoran/3-1415926-876d61-3d4aa7", "kernel_id": "1909089"}, {"ref": "adrian1acoran/prote-nas-humanas", "kernel_id": "1919172"}, {"ref": "adrian1acoran/1-learn-pi-3-1415926535897932-b144dd", "kernel_id": "1993701"}, {"ref": "guannanshen/twosig-start", "kernel_id": "1835465"}, {"ref": "dster/two-sigma-news-official-getting-started-kernel", "kernel_id": "1722429"}, {"ref": "nyakamura/cross-validation", "kernel_id": "1828472"}, {"ref": "nyakamura/japanese-translated-getting-started-kernel", "kernel_id": "1776916"}, {"ref": "nyakamura/lb-4-modified-reciprocal-of-r", "kernel_id": "1984323"}, {"ref": "shikha130vv/event-based-trading", "kernel_id": "1856054"}, {"ref": "magichanics/amateur-hour-using-headlines-to-predict-stocks", "kernel_id": "1729737"}, {"ref": "sanket30/starter-join-for-beginner", "kernel_id": "1732973"}, {"ref": "coetzee2/keras-with-scalers", "kernel_id": "1950067"}, {"ref": "nixonjames/tuning-hyper-params-in-lgbm-achieve-0-66-i-5a9d40", "kernel_id": "1997607"}, {"ref": "jaytalati87/lb-0-68-xgboost-baseline", "kernel_id": "1793199"}, {"ref": "shemuelzhao/random-kernel", "kernel_id": "1838463"}, {"ref": "eeronan/intro-eda-and-data-visualization", "kernel_id": "1928629"}, {"ref": "eeronan/catboost-vs-xgboost-5x-faster", "kernel_id": "1988211"}, {"ref": "ahmadashfaq/two-sigma-competition", "kernel_id": "1812409"}, {"ref": "kangsan5240/eda-feature-engineering-and-everything-korea", "kernel_id": "1838097"}, {"ref": "mukesh62/mp-xgb-baseline", "kernel_id": "1793042"}, {"ref": "markrdabler/scoring-metric-template", "kernel_id": "1959147"}, {"ref": "zhangdecheng/random-confidence-value-as-baseline", "kernel_id": "1983052"}, {"ref": "masanobuoishi/albert-einstein", "kernel_id": "1816727"}, {"ref": "apurvan/event-relevancy-model-parag-28th-feb", "kernel_id": "1734064"}, {"ref": "iliyas1155/a-simple-model-using-the-market-and-news-dd0b33", "kernel_id": "1792524"}, {"ref": "kazuokiriyama/tuning-hyper-params-in-lgbm-achieve-0-66-in-lb", "kernel_id": "1934417"}, {"ref": "belensge/raw-returns-calculations", "kernel_id": "1874556"}, {"ref": "chanep/assetcode-with-mda-using-random-data", "kernel_id": "1960724"}, {"ref": "ue173104/kernel78ae4c31a6", "kernel_id": "1848787"}, {"ref": "mikejmcgarry/time-series-cross-validation", "kernel_id": "1977982"}, {"ref": "lichensimon/lichen-kaggle", "kernel_id": "1837601"}, {"ref": "syennagraham/startertwosigma", "kernel_id": "1863893"}, {"ref": "bishnuch/kernel6845e583ee", "kernel_id": "1856083"}, {"ref": "syedkhamer/stock-prediction-with-lstm", "kernel_id": "1927236"}, {"ref": "sammiwang/preprocessing-data", "kernel_id": "1947098"}, {"ref": "keanedawg/helloworld", "kernel_id": "1968675"}, {"ref": "thidyro/kernel3183f8e4a3", "kernel_id": "1998937"}, {"ref": "rosenman/feed-forward-nnet-numeric-features-cross-entropy", "kernel_id": "2333994"}, {"ref": "rosenman/feed-forward-nnet-numeric-features-sq-error", "kernel_id": "2332106"}, {"ref": "rosenman/market-data-nn-baseline-477b48", "kernel_id": "2331576"}, {"ref": "rosenman/logistic-regression-numeric-features-baseline", "kernel_id": "2330408"}, {"ref": "rosenman/exp-2-layer-ff-nnet-news-features-cross-entropy", "kernel_id": "2385145"}, {"ref": "rosenman/losses", "kernel_id": "2343980"}, {"ref": "rosenman/feed-forward-nnet-numeric-features-hinge-loss", "kernel_id": "2345703"}, {"ref": "rosenman/2-layer-ff-nnet-news-features-cross-entropy", "kernel_id": "2346048"}, {"ref": "rosenman/feed-forward-nnet-numeric-features-custom-loss", "kernel_id": "2354449"}, {"ref": "rosenman/gru-numeric-features-cross-entropy", "kernel_id": "2355381"}, {"ref": "rosenman/ff-nnet-news-features-filtering-cross-entropy", "kernel_id": "2363914"}, {"ref": "rosenman/baseline-data-work-kernel", "kernel_id": "2071377"}, {"ref": "deboranozza/kernel68287797e3", "kernel_id": "2377596"}, {"ref": "paulperry/stock-splits", "kernel_id": "2584661"}, {"ref": "danofer/prediction-based-on-test-data", "kernel_id": "2541062"}, {"ref": "arazmi/azadeh5", "kernel_id": "2586990"}, {"ref": "duvallwh/finding-and-removing-bad-open-values", "kernel_id": "2018649"}, {"ref": "anondo/two-sigma-market-news-data-eda-5ad368", "kernel_id": "2131128"}, {"ref": "erlichsefi/stock", "kernel_id": "2435349"}, {"ref": "vasumani/simple-xgboost-with-only-few-years-data", "kernel_id": "2016744"}, {"ref": "someadityamandal/predict-using-lgbm", "kernel_id": "2483488"}, {"ref": "vinodmang/fast-ai-kernel", "kernel_id": "2137126"}, {"ref": "universome/tsa-model", "kernel_id": "2370252"}, {"ref": "qqgeogor/eda-script-67", "kernel_id": "2025921"}, {"ref": "anfego/easy-model-markowitz", "kernel_id": "2264236"}, {"ref": "chrisiew/kerneldd5874fb16", "kernel_id": "2014328"}, {"ref": "chrisiew/twosigmakernel", "kernel_id": "2364779"}, {"ref": "harikiran/2-sigma-final", "kernel_id": "2390440"}, {"ref": "tainanboy/project-eda-on-news-and-market-data", "kernel_id": "2351848"}, {"ref": "rspadim/lb-animation-twosigma", "kernel_id": "2969393"}, {"ref": "cyberia/cyber-eda-v1", "kernel_id": "2450457"}, {"ref": "wrosinski/parallel-data-processing-and-model-training", "kernel_id": "2194516"}, {"ref": "wrosinski/shap-feature-importance-with-feature-engineering", "kernel_id": "2125620"}, {"ref": "ac2zoom/fast-ai-kernel", "kernel_id": "2209308"}, {"ref": "wkirgsn/kaggliton-mining-group-corp", "kernel_id": "2225646"}, {"ref": "gracewan/plot-model", "kernel_id": "2410785"}, {"ref": "yatzhash/news-features-without-headline-subjects", "kernel_id": "2353940"}, {"ref": "aditya1702/create-data-pipeline-and-lgbclassifiercv", "kernel_id": "2436502"}, {"ref": "jjidfafaf/kernel3a476c5d52", "kernel_id": "2346496"}, {"ref": "souviksbhowmik/lstm-on-individual-asset-codes", "kernel_id": "2223772"}, {"ref": "felsal/combined-of-market-data-only-new-beginnig", "kernel_id": "2561839"}, {"ref": "danielson/cleaning-up-market-data-errors-and-stock-splits", "kernel_id": "2031073"}, {"ref": "darrellulm/two-sigma-news-official-getting-started-kernel", "kernel_id": "2354528"}, {"ref": "bmconrad/two-sigma-news-official-getting-started-base", "kernel_id": "2674785"}, {"ref": "lehuynhduc/value-counts-show-assetname-with-count-0", "kernel_id": "2000850"}, {"ref": "smasar/tutorial-timeseriesapproach", "kernel_id": "2151173"}, {"ref": "smasar/eda-preprocessing-processing-evaluation", "kernel_id": "2034525"}, {"ref": "mutatos/twosigma-memoryoptimisedtemplate4modelling", "kernel_id": "2551007"}, {"ref": "fabiendaniel/my-2cents-to-2sigma", "kernel_id": "2010462"}, {"ref": "rohanbadlani/tuning-hyper-params-in-lgbm-achieve-0-66-in-lb", "kernel_id": "2333518"}, {"ref": "vghorakavi/two-sigma-exploratory-kernel", "kernel_id": "2818648"}, {"ref": "ashishpatel26/attension-layer-basic-for-nlp", "kernel_id": "2547878"}, {"ref": "ashishpatel26/advance-pandas-tricks-and-techniques", "kernel_id": "2326628"}, {"ref": "rabaman/0-64-in-100-lines", "kernel_id": "2053421"}, {"ref": "regonn/eda-script-67-optuna-params", "kernel_id": "2457039"}, {"ref": "regonn/two-sigma-2018-12-18-optuna-lightgbm", "kernel_id": "2410015"}, {"ref": "regonn/two-sigma-2018-12-18-optuna-lightgbm-output", "kernel_id": "2413787"}, {"ref": "regonn/two-sigma-2018-12-17", "kernel_id": "2404516"}, {"ref": "regonn/two-sigma", "kernel_id": "2162454"}, {"ref": "arunkumarramanan/awesome-deep-learning-with-cnn-mnist-classifier", "kernel_id": "2272643"}, {"ref": "arunkumarramanan/awesome-ml-and-text-classification-movie-reviews", "kernel_id": "2272874"}, {"ref": "arunkumarramanan/awesome-ml-frameworks-and-mnist-classification", "kernel_id": "2270215"}, {"ref": "arunkumarramanan/data-science-python-fuel-efficiency-prediction", "kernel_id": "2272905"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "oriormeir/lgbm-market-news", "kernel_id": "2501632"}, {"ref": "oriormeir/deep-neural-network", "kernel_id": "2504840"}, {"ref": "oriormeir/xgboost-2-market-news", "kernel_id": "2504574"}, {"ref": "oriormeir/news-exploration-getting-started", "kernel_id": "2440055"}, {"ref": "nimitsolanki/two-sigma-stock-price-prediction", "kernel_id": "2293803"}, {"ref": "kaimingk/lgbm-solution-w-o-lag", "kernel_id": "2334713"}, {"ref": "berkeoral/gradientboosting", "kernel_id": "2450217"}, {"ref": "orange90/a-benchmark-for-the-prediction", "kernel_id": "2215832"}, {"ref": "ajithvallabai/two-sigma-competition", "kernel_id": "2369831"}, {"ref": "ajithvallabai/market-data-nn-baseline-test-1", "kernel_id": "2370606"}, {"ref": "thatsrich/data-exploration", "kernel_id": "2084915"}, {"ref": "adekunlebak/herdey-kay", "kernel_id": "2042728"}, {"ref": "alonmazafi/just-started-explore-news-market-data-sets", "kernel_id": "2585527"}, {"ref": "urvishp80/first-serious-attempt-to-predict-stocks-direction", "kernel_id": "2355265"}, {"ref": "denisvodchyts/two-sigma-tf-2-classification", "kernel_id": "2023209"}, {"ref": "donkeys/rolling-with-the-features", "kernel_id": "2120624"}, {"ref": "donkeys/quest-for-market-data-outliers-meaning", "kernel_id": "2047814"}, {"ref": "mark4h/audience-and-subject-embeddings", "kernel_id": "2085984"}, {"ref": "rikitikitavy/priceprediction", "kernel_id": "2147621"}, {"ref": "returnofsputnik/fork-of-fork-of-lstm-only-for-real-b2fffc", "kernel_id": "2585994"}, {"ref": "returnofsputnik/fulltimeseriesvalid-lstm-lgbm-goss-dart-v2", "kernel_id": "2248629"}, {"ref": "returnofsputnik/eda-script-67-8d6ccc", "kernel_id": "2255961"}, {"ref": "joydeb28/awesome-data-science-cheatsheets", "kernel_id": "2493257"}, {"ref": "joydeb28/simple-prediction-please-upvote", "kernel_id": "2081240"}, {"ref": "rlarkdals7/two-sigma-eda", "kernel_id": "2204790"}, {"ref": "sivaadi92/model-market-data-random-forests", "kernel_id": "2132037"}, {"ref": "sivaadi92/linear-regression-on-market-data", "kernel_id": "2199551"}, {"ref": "indrajeet95/a-benchmark-for-the-prediction", "kernel_id": "2295402"}, {"ref": "mmkidd/two-sigma-pre-and-post-processing-discussion", "kernel_id": "2712831"}, {"ref": "nareyko/data-preparation-memory-optimization", "kernel_id": "2001481"}, {"ref": "nareyko/fast-lags-calculation-concept-using-numpy-arrays", "kernel_id": "2590242"}, {"ref": "nareyko/conservative-model-universe-negative", "kernel_id": "2550834"}, {"ref": "nareyko/beta-cov-ra-rm-var-rm-20-days-period", "kernel_id": "2635714"}, {"ref": "charleslandau/iterative-approach", "kernel_id": "2518467"}, {"ref": "daobuliao/eda-script-67-df740c", "kernel_id": "2244724"}, {"ref": "nikitsoftweb/lb-4-modified-product-of-reciprocal-of-r", "kernel_id": "2241263"}, {"ref": "mnagao/lightgbm-for-each-stock", "kernel_id": "2586810"}, {"ref": "mnagao/download-two-sigma", "kernel_id": "2475362"}, {"ref": "mnagao/lightgbm-with-online-training", "kernel_id": "2333240"}, {"ref": "k3vignes/my-two-sigma-news-kernel", "kernel_id": "2586978"}, {"ref": "r9843559794/trading-price-prediction", "kernel_id": "2052970"}, {"ref": "infoabhitech/market-news-data-light-gbm", "kernel_id": "2626877"}, {"ref": "y578chen/version1-20190101", "kernel_id": "2249926"}, {"ref": "tayyabali55/submissions", "kernel_id": "2717356"}, {"ref": "headerymy/just-for-data-saving", "kernel_id": "2846413"}, {"ref": "hwmaianxun/eda-feature-engineering-and-everything-dca488", "kernel_id": "2065737"}, {"ref": "hwmaianxun/complete-eda-voting-lightgbm", "kernel_id": "2105377"}, {"ref": "plasticgrammer/predict-stock-movements-playground", "kernel_id": "2811115"}, {"ref": "s1korrrr/two-sigma-eda-for-market-data", "kernel_id": "2401740"}, {"ref": "xianglong/the-original-4th-solution", "kernel_id": "2139309"}, {"ref": "alexjmartinez/lightgbm-w-market-indicators", "kernel_id": "2580131"}, {"ref": "alexjmartinez/minor-parameter-tuning-for-lightgbm-scaling-boost", "kernel_id": "2373592"}, {"ref": "dineshramasamy/market-data-alone", "kernel_id": "2240576"}, {"ref": "seshuram1996/stock-prediction", "kernel_id": "2249350"}, {"ref": "huayupeng/baseline-model-v1", "kernel_id": "2125102"}, {"ref": "tapioca/multiclass-lightgbm", "kernel_id": "2094608"}, {"ref": "tapioca/lightgbm-score-booster", "kernel_id": "2188646"}, {"ref": "econdata/modelling-market-and-news-data", "kernel_id": "2673872"}, {"ref": "jsaguiar/baseline-with-news", "kernel_id": "2032541"}, {"ref": "alexborio/anomaly-removal-with-gaussian-mixture-model-0-63", "kernel_id": "2593068"}, {"ref": "mspolisetti/ml-project-madhavi-final", "kernel_id": "2121901"}, {"ref": "alessandrosolbiati/two-sigma-news-official-getting-started-kernel", "kernel_id": "2152760"}, {"ref": "alessandrosolbiati/exploratory-metric-analysis-ema", "kernel_id": "2519193"}, {"ref": "mgarin/evolved-lstm-with-ga-and-es", "kernel_id": "2056914"}, {"ref": "silvernine/very-simple-nn-model-market-data-only", "kernel_id": "2044595"}, {"ref": "jcbs10/linear-algebra-for-data-scientists", "kernel_id": "2253211"}, {"ref": "prodigalprodigy/predicting-stock-movements", "kernel_id": "2707756"}, {"ref": "prodigalprodigy/stock-movement-prediction", "kernel_id": "2702492"}, {"ref": "prodigalprodigy/stock-market-movement-prediction", "kernel_id": "2523893"}, {"ref": "niclasdoce/how-traders-trade-intuition", "kernel_id": "2090851"}, {"ref": "badrshuaib/capstone-1", "kernel_id": "2111608"}, {"ref": "youssefberrada/test101", "kernel_id": "2632185"}, {"ref": "fabriciofgs/two-sigma-stock-market-rnn-lstm", "kernel_id": "2282208"}, {"ref": "kishiii/twosigma-day1-62248f", "kernel_id": "2332885"}, {"ref": "kishiii/kernelf6b81fdac6", "kernel_id": "2025161"}, {"ref": "kishiii/kernel6cda974253", "kernel_id": "2398566"}, {"ref": "pierrea/two-sigma-competition-first-eda", "kernel_id": "2218614"}, {"ref": "marketneutral/is-lightgbm-really-appropriate", "kernel_id": "2542426"}, {"ref": "marketneutral/maximum-score-is-not-proportional-to-1-predictions", "kernel_id": "2152234"}, {"ref": "alexfuyang/lrnews-lgball", "kernel_id": "2286760"}, {"ref": "alexfuyang/eda-kernel", "kernel_id": "2245467"}, {"ref": "alexfuyang/lgbmclassifier", "kernel_id": "2137479"}, {"ref": "ungvarirobert/unexpected-jump-submitter", "kernel_id": "2549283"}, {"ref": "ungvarirobert/unexpected-jump", "kernel_id": "2532992"}, {"ref": "zikazika/lightgbm-2sigma", "kernel_id": "2091790"}, {"ref": "zikazika/predicting-stock-movement", "kernel_id": "2549236"}, {"ref": "adrian1acoran/1-1-pi-3-14159265358979324-codigo-e91bb9", "kernel_id": "2020663"}, {"ref": "adrian1acoran/1-pi-3-14159265358979324-code-7d7348", "kernel_id": "2022096"}, {"ref": "guannanshen/two-sigma-eda-and-preliminary-modelling", "kernel_id": "2006542"}, {"ref": "harshitsheoran/evaluation-top-of-the-lb-1-50999", "kernel_id": "2557794"}, {"ref": "harshitsheoran/5-split-lgbm-fe", "kernel_id": "2306190"}, {"ref": "hemantchopra/kernel00e1265a49marketpriceprediction", "kernel_id": "2058177"}, {"ref": "juanlu19/2-sigma-news-eda-news-1", "kernel_id": "2692501"}, {"ref": "juanlu19/2-sigma-news-eda-general-market-0", "kernel_id": "2742117"}, {"ref": "oguzkaplan/outlier-detection1-5-iqr-method-nn-on-market", "kernel_id": "2439967"}, {"ref": "oguzkaplan/outlier-1-5-iqr-method-nn-on-market", "kernel_id": "2471892"}, {"ref": "dgrachev28/tutorial-timeseriesapproach-18c735", "kernel_id": "2436031"}, {"ref": "niqangel/market-data-ga-tuned-nn", "kernel_id": "2056806"}, {"ref": "niqangel/ga-based-nn-for-stock-prediction", "kernel_id": "2056686"}, {"ref": "jiehanzhu/fork-of-cs229-market-data-profile", "kernel_id": "2135225"}, {"ref": "leegare/protoject-2-sigma", "kernel_id": "2005090"}, {"ref": "donfergomez/news-draft-0-fgr", "kernel_id": "2597323"}, {"ref": "teamskiy/xgboost-using-only-numeric-data-from-news", "kernel_id": "2271493"}, {"ref": "jsarda/kernel-gama-1", "kernel_id": "2182497"}, {"ref": "jsarda/kernel-unificado-1", "kernel_id": "2207797"}, {"ref": "jsarda/kernel-gama-2", "kernel_id": "2228195"}, {"ref": "neoyipeng2018/ulmfit-to-reuters-news-headlines", "kernel_id": "2253343"}, {"ref": "shikha130vv/kernel-with-news-features", "kernel_id": "2120403"}, {"ref": "shikha130vv/news-feature-engineering", "kernel_id": "2249523"}, {"ref": "jadrayes/join-market-and-news-ii", "kernel_id": "2333593"}, {"ref": "kageyama/my-first-eda", "kernel_id": "2680295"}, {"ref": "gu9797/xgboost-vs-light-gbm-to-predict-stock-movements", "kernel_id": "2287782"}, {"ref": "fernandokm/eda-twosigma", "kernel_id": "2332344"}, {"ref": "johnlingle/win-on-wall-street-starter-kernel-new-model", "kernel_id": "2416833"}, {"ref": "johnlingle/wsw4-a-simple-model-jhl-amaral", "kernel_id": "2245319"}, {"ref": "ozgurcetinok/simple-eda-for-two-sigma-competition", "kernel_id": "2465819"}, {"ref": "maxrodkin/eda-feature-engineering-and-everything-in-russian", "kernel_id": "2035889"}, {"ref": "shanqiyang/basic-plot-and-etl", "kernel_id": "2346323"}, {"ref": "vodkahaze/data-download", "kernel_id": "2381913"}, {"ref": "legaled/two-sigma-model", "kernel_id": "2117591"}, {"ref": "limin1996/combine-1", "kernel_id": "2553882"}, {"ref": "emily2008/two-sigma-stock-news-market", "kernel_id": "2084931"}, {"ref": "silver5005/market-data-nn-baseline-55d84f", "kernel_id": "2024554"}, {"ref": "silver5005/market-data-only-custome-features", "kernel_id": "2006050"}, {"ref": "silver5005/market-data-nn-baseline-f052ed", "kernel_id": "2003821"}, {"ref": "kiyo22/eda-script-67-analyst-in-japanese", "kernel_id": "2192222"}, {"ref": "dongyuqi19/eda-marketdata", "kernel_id": "2018310"}, {"ref": "shegerking/analysis", "kernel_id": "2507437"}, {"ref": "jpjimenez/lan-capstone-project", "kernel_id": "2183480"}, {"ref": "love123/sigma-1", "kernel_id": "2556854"}, {"ref": "mdphap/kernel5dc000b5ce", "kernel_id": "2647621"}, {"ref": "takafumitakizawa/lightgbm-with-online-training", "kernel_id": "2130826"}, {"ref": "takafumitakizawa/moving-average-and-news", "kernel_id": "2117598"}, {"ref": "tiagovanderlind/kernelf0352d59b0", "kernel_id": "2029796"}, {"ref": "wontheone1/various-experiments-on-feature-generation", "kernel_id": "2603687"}, {"ref": "danechen/eda-script-67-pct-change-in-market-data-useful", "kernel_id": "2465024"}, {"ref": "chunlianglu/kernele04c4d722f", "kernel_id": "2036485"}, {"ref": "chunlianglu/zaazaz", "kernel_id": "2036502"}, {"ref": "cassiexuan/kernel8acca82580", "kernel_id": "2123267"}, {"ref": "rmarcano16/project", "kernel_id": "2191151"}, {"ref": "timsonrisa/two-stock-news-random-forest-starter", "kernel_id": "2416182"}, {"ref": "steliyan/mylstm2-multi-company-0-79-v1", "kernel_id": "2587793"}, {"ref": "jonhale/light-gbm-v1", "kernel_id": "2198609"}, {"ref": "chrism2671/linear-feature-engineering", "kernel_id": "2566634"}, {"ref": "cacklingjackalope/cs-493-591-keras-implementation", "kernel_id": "2299493"}, {"ref": "namrashah18/made-in-the-am", "kernel_id": "2307429"}, {"ref": "saswattripathy/kernele9dc82daa3", "kernel_id": "2145634"}, {"ref": "raosushant/lstm-model-with-market-and-news-data", "kernel_id": "2342068"}, {"ref": "qyue2014/eda-understand-every-feature-in-the-data-sets", "kernel_id": "2199078"}, {"ref": "falguniarora97/two-sigma-tech-fundamentals", "kernel_id": "2305656"}, {"ref": "sijinwu/fork-of-the-best-repair", "kernel_id": "2502377"}, {"ref": "sijinwu/eda-script-67-151076", "kernel_id": "2124707"}, {"ref": "shenjimei/eda-test", "kernel_id": "2042555"}, {"ref": "shenjimei/exploratory-data-analysis-d0db46", "kernel_id": "2083353"}, {"ref": "shenjimei/kernela05591ee71", "kernel_id": "2084046"}, {"ref": "raphamber/data-processing", "kernel_id": "2026021"}, {"ref": "vansantj/kernel9dcffee0b8", "kernel_id": "2264391"}, {"ref": "vansantj/fork-of-kernel9dcffee0b8", "kernel_id": "2276342"}, {"ref": "cameliaas/news-visualization", "kernel_id": "2353746"}, {"ref": "sudeepsiddharth/share-data", "kernel_id": "2496868"}, {"ref": "antoineviscardi/vanilla-net", "kernel_id": "2017262"}, {"ref": "meghanavkasal/simple-ensemble-of-segmented-data", "kernel_id": "2286039"}, {"ref": "sherylmathew/stock-market-analysis-eda-feature-engineering", "kernel_id": "2354627"}, {"ref": "sherylmathew/stock-market-analysis-regression", "kernel_id": "2342340"}, {"ref": "andycscsmaple/sma-only-v2", "kernel_id": "2571905"}, {"ref": "hzk123/lgbm-v1", "kernel_id": "2280685"}, {"ref": "basma1saad/exploratory-data-analysis-et-features-enginnering", "kernel_id": "2499811"}, {"ref": "harinathselvaraj/two-sigma-using-news-to-predict-stock-kernel", "kernel_id": "2280349"}, {"ref": "ahmetdemirel/preprocessedtraindata", "kernel_id": "2427877"}, {"ref": "jackyyang111/kernele36d57a8e1", "kernel_id": "2215018"}, {"ref": "chenwenshu/twosigmanews-notebook", "kernel_id": "2124188"}, {"ref": "ozancirkinoglu/tcn-twosigma-training", "kernel_id": "2432488"}, {"ref": "ozancirkinoglu/twosigma-prediction", "kernel_id": "2459979"}, {"ref": "charlessuhartanto/lags-calculation-using-pandas-pivot-and-unstack", "kernel_id": "2591716"}, {"ref": "jmyoon/using-news-to-predict-stock-movements", "kernel_id": "2137157"}, {"ref": "fasozinho/cs-493-591-scikit-learn-implementation", "kernel_id": "2298911"}, {"ref": "getshitdone95/eda-feature-engineering-and-everything", "kernel_id": "2242341"}, {"ref": "taylorbolt/the-market-meets-neuroscience-eda", "kernel_id": "2444513"}, {"ref": "aimlresearcher/what-about-data-errors-in-stage-2", "kernel_id": "2119919"}, {"ref": "tonmoybhattacharya/news-stockvalue-impact-ver-1", "kernel_id": "2177431"}, {"ref": "thidyro/soluciones", "kernel_id": "2004689"}, {"ref": "boweiye/final-0fd228", "kernel_id": "2360298"}, {"ref": "lihy45/eda-script-67", "kernel_id": "2266545"}, {"ref": "edunasiri/two-sigma-news-official-getting-started-ker-60b5cf", "kernel_id": "2458091"}, {"ref": "cannsoygenc/200-estimator-size-0-25-6", "kernel_id": "2436659"}, {"ref": "dinco90/kerneleb1a05dab5", "kernel_id": "2659377"}, {"ref": "takhida/the-basic-survey-about-universe", "kernel_id": "2360092"}, {"ref": "meatik/simple-example-ml", "kernel_id": "2463239"}, {"ref": "liaopohsiang/complete-eda-voting-lightgbm", "kernel_id": "2172894"}, {"ref": "jiahlee/1425-svm", "kernel_id": "2205648"}, {"ref": "lauratte/kkkkkkk", "kernel_id": "2131618"}, {"ref": "fuadaliyev/two-sigma", "kernel_id": "2159142"}, {"ref": "aburakozyurt/sample-1", "kernel_id": "2173660"}, {"ref": "aburakozyurt/karahan-ozyurt", "kernel_id": "2452445"}, {"ref": "arcisad/time-series-analysis-for-twosigma", "kernel_id": "2626406"}, {"ref": "dingzzz/market-data-ep-tuned-nn", "kernel_id": "2345558"}, {"ref": "ecnudayun/dayun-s-kernel-for-two-signma", "kernel_id": "2484581"}, {"ref": "ohandmark/backtick-hands-on", "kernel_id": "2752902"}, {"ref": "rongtouchtouch/kernel34f3d09108", "kernel_id": "2434613"}, {"ref": "yanransmiles/identifying-fruits-in-images", "kernel_id": "2591591"}, {"ref": "yiding97/eda-yiding", "kernel_id": "2339295"}, {"ref": "katerinaptv/2sedas", "kernel_id": "2375672"}, {"ref": "hoss3in/let-s-cluster-those-stocks", "kernel_id": "2480445"}, {"ref": "naguayo/2-sigma-competition-alpha-data-cleaning", "kernel_id": "2404981"}, {"ref": "zhouzhouoya/news-data-processing", "kernel_id": "2485921"}, {"ref": "dylanlll/eda-script-67-test", "kernel_id": "2481370"}, {"ref": "hongwingl/sigmatation-fault", "kernel_id": "2570653"}, {"ref": "omrimeitav/kernelf47eac16a9", "kernel_id": "2565301"}, {"ref": "omrimeitav/kernel75200bc6ba", "kernel_id": "2540081"}, {"ref": "songhu1992/test-1-using-news-to-predict-stock-movements", "kernel_id": "2647411"}, {"ref": "etherqua/amateur-hour-using-headlines-to-predict-stocks", "kernel_id": "3664526"}, {"ref": "aarsht/lstm-with-news-data-merge-and-time-stepping", "kernel_id": "3716325"}, {"ref": "abbi163/kernel73d94c1a13", "kernel_id": "3487793"}, {"ref": "nareyko/two-sigma-2019-lb-shuffle-big-map", "kernel_id": "3251490"}, {"ref": "infoabhitech/market-news-data-xgb", "kernel_id": "3022698"}, {"ref": "juanlu19/2-sigma-news-benchmark-0-1-6-months", "kernel_id": "3987229"}, {"ref": "juanlu19/2-sigma-news-rf-regression-6-months", "kernel_id": "3949761"}, {"ref": "juanlu19/2-sigma-news-nn-regression-6-months", "kernel_id": "3948777"}, {"ref": "juanlu19/2-sigma-news-lasso-regression-6-months", "kernel_id": "3949034"}, {"ref": "juanlu19/2-sigma-news-gb-regression-6-months", "kernel_id": "3944727"}, {"ref": "juanlu19/2-sigma-news-gb-prob-6-months", "kernel_id": "3940936"}, {"ref": "shahmeet82/made-in-the-am", "kernel_id": "3915688"}, {"ref": "apurvan/fork-of-event-relevancy-model", "kernel_id": "3100919"}, {"ref": "patrikl/kernelbc-1", "kernel_id": "3635041"}, {"ref": "patrikl/modelling-bc", "kernel_id": "3758392"}, {"ref": "niklyaev/two-sigma-series-public", "kernel_id": "3090831"}, {"ref": "yihaoyang/lightgbm", "kernel_id": "3151546"}, {"ref": "gamerboy911/recreate-stock-news", "kernel_id": "3635298"}, {"ref": "leiyuan1989/two-sigma-using-news-to-predict-stock-movements", "kernel_id": "4364621"}, {"ref": "richardgg93/rnn-example", "kernel_id": "4128980"}, {"ref": "tenffe/data-analysis-with-featexp", "kernel_id": "4145085"}, {"ref": "juanlu19/2-sigma-news-gb-prob-gridsearchcv-6-months", "kernel_id": "4173514"}, {"ref": "juanlu19/2-sigma-news-benchmark-openprevmkt10-6-months", "kernel_id": "4175801"}, {"ref": "juanlu19/fork-of-2-sigma-news-gb-prob-6-months-e97a4a", "kernel_id": "4193230"}, {"ref": "juanlu19/fork-of-2-sigma-news-gb-prob-gridsearchcv-adbc6b", "kernel_id": "4191177"}, {"ref": "juanlu19/fork-of-fork-of-fork-of-fork-of-2-sigma-new-bebfaf", "kernel_id": "4203288"}, {"ref": "juanlu19/fork-of-fork-of-2-sigma-news-gb-prob-6-m-918401", "kernel_id": "4203276"}, {"ref": "juanlu19/fork-of-fork-of-fork-of-2-sigma-news-gb-p-ab4185", "kernel_id": "4202306"}, {"ref": "juanlu19/fork-of-2-sigma-news-gb-prob-6-months-15b1d8", "kernel_id": "4202258"}, {"ref": "juanlu19/fork-of-2-sigma-news-gb-prob-gridsearchcv-431687", "kernel_id": "4195884"}, {"ref": "juanlu19/fork-of-2-sigma-news-gb-prob-gridsearchcv-908a3d", "kernel_id": "4195893"}, {"ref": "juanlu19/fork-of-2-sigma-news-gb-prob-gridsearchcv-f41b56", "kernel_id": "4195905"}, {"ref": "juanlu19/fork-of-fork-of-2-sigma-news-gb-prob-grid-44866c", "kernel_id": "4199992"}, {"ref": "juanlu19/fork-of-fork-of-2-sigma-news-gb-prob-grid-874cae", "kernel_id": "4200007"}, {"ref": "juanlu19/fork-of-fork-of-2-sigma-news-gb-prob-grid-d068c8", "kernel_id": "4200042"}, {"ref": "juanlu19/fork-of-fork-of-2-sigma-news-gb-prob-6-m-545e42", "kernel_id": "4199183"}, {"ref": "juanlu19/fork-of-fork-of-2-sigma-news-gb-prob-gridsearchc", "kernel_id": "4199237"}, {"ref": "juanlu19/fork-of-fork-of-2-sigma-news-gb-prob-6-m-8bc0ee", "kernel_id": "4199245"}, {"ref": "juanlu19/fork-of-2-sigma-news-gb-prob-6-months-e18be3", "kernel_id": "4206116"}, {"ref": "juanlu19/2-sigma-news-gb-prob-tuned-6-months", "kernel_id": "4206276"}, {"ref": "juanlu19/fork-of-fork-of-fork-of-fork-of-fork-of-for-1f07b1", "kernel_id": "4208093"}, {"ref": "juanlu19/fork-of-2-sigma-news-eda-relacional-2", "kernel_id": "4230438"}, {"ref": "juanlu19/2-sigma-news-gb-prob-no-news2-6-months", "kernel_id": "4044155"}, {"ref": "juanlu19/2-sigma-news-gb-prob-no-news-6-months", "kernel_id": "4031067"}, {"ref": "juanlu19/2-sigma-news-gb-prob-var-relevance-6-months", "kernel_id": "4021194"}, {"ref": "juanlu19/2-sigma-news-gb-prob-selective-6-months", "kernel_id": "4021258"}, {"ref": "juanlu19/2-sigma-news-gb-prob-select-negatives-6-months", "kernel_id": "4021259"}, {"ref": "juanlu19/2-sigma-news-gb-prob-negatives-6-months", "kernel_id": "4021260"}, {"ref": "juanlu19/2-sigma-news-bnb-prob-6-months", "kernel_id": "4000960"}, {"ref": "juanlu19/2-sigma-news-sgd-prob-6-months", "kernel_id": "4001036"}, {"ref": "juanlu19/2-sigma-news-nn-prob-6-months", "kernel_id": "4000786"}, {"ref": "juanlu19/2-sigma-news-rf-prob-6-months", "kernel_id": "4000802"}, {"ref": "juanlu19/2-sigma-news-gnb-prob-6-months", "kernel_id": "4000830"}, {"ref": "juanlu19/2-sigma-news-merge-eda-relacional-4-3", "kernel_id": "4102976"}, {"ref": "rmcersherry/kernelfc670f680b", "kernel_id": "4469149"}, {"ref": "patrikl/model-w-o-outliers", "kernel_id": "4242698"}, {"ref": "patrikl/models-w-outliers", "kernel_id": "4433500"}, {"ref": "suprabhahyman/multiple-linear-regression", "kernel_id": "4950061"}, {"ref": "woshichendu/complete-eda-voting-lightgbm", "kernel_id": "8099578"}]}
{"competition_id": "9940", "kernels": []}
{"competition_id": "9946", "kernels": []}
{"competition_id": "9948", "kernels": []}
{"competition_id": "9949", "kernels": [{"ref": "mihaiionita/mihai-ionita", "kernel_id": "1247478"}, {"ref": "mihaskalic/classifier-as-a-bounding-box-predictor", "kernel_id": "1248358"}, {"ref": "vsmolyakov/tensorflow-object-detection-api-apache-spark", "kernel_id": "1462269"}, {"ref": "maheshdadhich/detectors-for-object-detection", "kernel_id": "1252387"}, {"ref": "ashishpatel26/inception-resnet-comb-approach-on-google-image-ai", "kernel_id": "1256828"}, {"ref": "ashishpatel26/xception-on-google-image-ai", "kernel_id": "1250845"}, {"ref": "shirishr/objects-bb-resnet50-imageai-thanks-to-sban", "kernel_id": "1385910"}, {"ref": "nafisur/classifier-as-a-bounding-box-predictor", "kernel_id": "1341690"}, {"ref": "krishamehta/object-detection-using-yolov3", "kernel_id": "1403616"}, {"ref": "aldrin644/analysis-between-new-and-old-open-image-dataset", "kernel_id": "1360563"}, {"ref": "aldrin644/bounding-box-prediction-using-faster-rcnn-resnet", "kernel_id": "1377720"}, {"ref": "kumarabhishekone/kernel84b6d96ccf", "kernel_id": "1305999"}, {"ref": "shivamb/objects-bounding-boxes-using-resnet50-imageai", "kernel_id": "1258546"}, {"ref": "vipul92/object-detection-fast-tinyyolov3-imageai", "kernel_id": "1475206"}, {"ref": "wangweiyi/data-visual-practice", "kernel_id": "1271261"}, {"ref": "moshel/filling-your-bucketlist-tsv-trimmer", "kernel_id": "1334499"}, {"ref": "moshel/baseline-object-detection-tf-faster-rcnn-pub", "kernel_id": "1266851"}, {"ref": "plumeria/opencv-detection", "kernel_id": "1463572"}, {"ref": "dinuuu/using-image-classifier", "kernel_id": "1254637"}, {"ref": "dinuuu/classifier-as-a-bounding-box-predictor-b818ed", "kernel_id": "1254690"}, {"ref": "dinuuu/using-imagenet", "kernel_id": "1254729"}, {"ref": "dinuuu/using-imagenet-classifier", "kernel_id": "1254754"}, {"ref": "dinuuu/using-image", "kernel_id": "1254755"}, {"ref": "dinuuu/using-keras-inceptionv3-0-016795", "kernel_id": "1257055"}, {"ref": "sajinpgupta/object-detection-yolov2", "kernel_id": "1266346"}, {"ref": "sajinpgupta/object-detection-using-yolov3", "kernel_id": "1275889"}, {"ref": "muhammedfathi/objects-bounding-boxes-using-resnet50-my", "kernel_id": "2899594"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "lefuret/train-ai-open-images-object-detection-track", "kernel_id": "2820648"}, {"ref": "puneetsingla17/facial-detection", "kernel_id": "3496553"}, {"ref": "lefuret/demo-ai-open-images-object-detection-track", "kernel_id": "3522300"}, {"ref": "ibrahimmadani/object-detection-boxes-points-yolov3-imageai", "kernel_id": "3996483"}, {"ref": "digbijay2/object-detection", "kernel_id": "4047224"}, {"ref": "soumikrakshit/yolo-v3-using-tensorflow-2-0", "kernel_id": "6293865"}, {"ref": "khaledmgamal/object-detection-yolo-version-2-keras", "kernel_id": "6457514"}, {"ref": "kraisin/object-detection-using-yolov3", "kernel_id": "8443263"}, {"ref": "muhammadmohsin12/train-ai-open-images-object-detection-track", "kernel_id": "11968495"}, {"ref": "nightbaron007/yolo-v3-using-tensorflow-2-0", "kernel_id": "15696395"}, {"ref": "mahmoudreda55/google-ai-retinanet-object-detection", "kernel_id": "20214026"}, {"ref": "muhammadesmail/object-detection-using-yolov3", "kernel_id": "24953784"}, {"ref": "csmohamedayman/dl-cv-open-images-object-detection-track", "kernel_id": "30828579"}, {"ref": "kainla/tu-n-5-vgg19", "kernel_id": "36656190"}, {"ref": "tanujdargan/train-ai-open-images-object-detection-track", "kernel_id": "37483797"}, {"ref": "claire298/object-detection-using-yolov3", "kernel_id": "40431834"}, {"ref": "fauzanmohammed/google-ai-open-images-odt", "kernel_id": "40153414"}, {"ref": "trinhptthe160790/object-detection-yolo-version-2-keras", "kernel_id": "45697952"}, {"ref": "kumar1721ranjan/notebooka688a1d290", "kernel_id": "67929286"}, {"ref": "rudainahaitham/new-smart-glasses", "kernel_id": "95377285"}, {"ref": "mohamedazizgafsi/classifier-as-a-bounding-box-predictor", "kernel_id": "105994199"}]}
{"competition_id": "9951", "kernels": [{"ref": "titericz/beat-the-benchmark-lb-0-0032", "kernel_id": "1547826"}, {"ref": "dinuuu/no-script", "kernel_id": "1278897"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}]}
{"competition_id": "9956", "kernels": []}
{"competition_id": "9962", "kernels": []}
{"competition_id": "9971", "kernels": [{"ref": "dmitrysolod/notebook1f757c003d", "kernel_id": "61672648"}]}
{"competition_id": "9978", "kernels": [{"ref": "dmollaaliod/naive-bayes-baseline", "kernel_id": "1439838"}]}
{"competition_id": "9980", "kernels": []}
{"competition_id": "9982", "kernels": [{"ref": "kazanova/benchmark-script-0-877", "kernel_id": "1174350"}]}
{"competition_id": "9985", "kernels": [{"ref": "sathyz/simple-random-forest", "kernel_id": "1696961"}, {"ref": "ambarish/forest-cover-type-eda-and-modelling", "kernel_id": "1192548"}, {"ref": "mik3hall/forest-cover-deja-vu", "kernel_id": "1548660"}, {"ref": "anoojnair/simple-random-forsest-classifier", "kernel_id": "1717839"}, {"ref": "vuppala/simple-random-forest-classifier", "kernel_id": "1852514"}, {"ref": "justfor/ensembling-and-stacking-with-heamy", "kernel_id": "1680779"}, {"ref": "cbryant/new-features-and-recursive-feature-extraction", "kernel_id": "1484071"}, {"ref": "indranilbhattacharya/xgb-parameter-tuning-from-scratch-random-search", "kernel_id": "1205884"}, {"ref": "akshaydirisala/each-forrest-cover-soil-types-rfunction", "kernel_id": "1629643"}, {"ref": "sabarishg/forest-cover-type", "kernel_id": "1234376"}, {"ref": "sassy19a/random-forest-forest-cover", "kernel_id": "1556289"}, {"ref": "sassy19a/exploratory-data-analysis-forest-cover", "kernel_id": "1560669"}, {"ref": "artgor/forest-exploration-and-trees", "kernel_id": "1198407"}, {"ref": "smehta12/forest-cover-type", "kernel_id": "1268967"}, {"ref": "moghazy/ensemble-learning-with-feature-engineering", "kernel_id": "1287076"}, {"ref": "romankovalenko/data-distribution-3d-scatter-plots", "kernel_id": "1210531"}, {"ref": "pecooper/i-can-t-see-the-wood-for-the-trees", "kernel_id": "1298757"}, {"ref": "ashishpatel26/bayesian-random-forest-lightgbm", "kernel_id": "1425073"}, {"ref": "nicapotato/multi-class-lgbm-cv-and-seed-diversification", "kernel_id": "1192333"}, {"ref": "hancelpv/forest-cover-type-classifier", "kernel_id": "1297749"}, {"ref": "arjundas/forest-run", "kernel_id": "1702693"}, {"ref": "plarmuseau/anyone-an-idea-about-this-cluster", "kernel_id": "1465254"}, {"ref": "plarmuseau/3y-old-solution-litterary", "kernel_id": "1490908"}, {"ref": "mohamedramzy/xgboost-classifier-for-identifying-forests-covers", "kernel_id": "1240173"}, {"ref": "quincyqiang/multi-class-lgbm-cv-and-seed-diversificatio-7c6a8d", "kernel_id": "1748225"}, {"ref": "codename007/forest-cover-type-eda-baseline-model", "kernel_id": "1194772"}, {"ref": "shahules/forest-cover-type-edta-ensemble-voting", "kernel_id": "1583179"}, {"ref": "arvindbhatt/forest-cover-type", "kernel_id": "1559306"}, {"ref": "nafisur/voting-classifier-for-victory", "kernel_id": "1337291"}, {"ref": "inmanenz/keras-ann-with-some-text-pre-processing", "kernel_id": "1444006"}, {"ref": "schlerp/custom-numpy-neural-network", "kernel_id": "1311153"}, {"ref": "schlerp/simple-ann-trained-with-ga", "kernel_id": "1329352"}, {"ref": "schlerp/ga-evolution-for-ann-as-fe-into-sklearn-classifier", "kernel_id": "1381882"}, {"ref": "schlerp/lgb-cv-ensemble-normalisation-fe", "kernel_id": "1284688"}, {"ref": "schlerp/knn-simple-but-effective", "kernel_id": "1284442"}, {"ref": "schlerp/keras-ann-kfold-ensemble-normalisation-fe", "kernel_id": "1285290"}, {"ref": "schlerp/eda-fe-rfe-ann-blending-of-classifiers", "kernel_id": "1538165"}, {"ref": "bohdansafoniuk/forest-cover-ensemble-models", "kernel_id": "1619522"}, {"ref": "rohandx1996/features-hybrid-classifier-pls-vote-if-u-like", "kernel_id": "1318299"}, {"ref": "rohandx1996/eda-and-feature-selection", "kernel_id": "1281837"}, {"ref": "bathiamkwrdsbt/forestcovertype-adaboost-dtree", "kernel_id": "1292547"}, {"ref": "aks1nya/logistic-reg-analysis", "kernel_id": "1359065"}, {"ref": "tarunpaparaju/forest-cover-type-predictor", "kernel_id": "1362009"}, {"ref": "tarunpaparaju/the-forest-cover-type-predictor", "kernel_id": "1379919"}, {"ref": "syncush/neural-forest-and-voting-79-accuracy", "kernel_id": "1546409"}, {"ref": "puneettyagi/forest-cover-simple-xgb", "kernel_id": "1338472"}, {"ref": "viswajithkn/notebook-submission", "kernel_id": "1323828"}, {"ref": "viswajithkn/first-submission-forest", "kernel_id": "1323791"}, {"ref": "viswajithkn/second-attempt", "kernel_id": "1324985"}, {"ref": "qgh1223/kernel4d3cf44d34", "kernel_id": "1231221"}, {"ref": "henryhollis4/kernel9740dc77d9", "kernel_id": "1340392"}, {"ref": "gafalcon/tuning-xgboost", "kernel_id": "1310223"}, {"ref": "thebrownviking20/ann-starter", "kernel_id": "1209129"}, {"ref": "thebrownviking20/voting-classifier-for-victory", "kernel_id": "1327963"}, {"ref": "dimonrtm/fneiralnetwork", "kernel_id": "1279313"}, {"ref": "dimonrtm/firstneiralnetwok", "kernel_id": "1249163"}, {"ref": "dimonrtm/first", "kernel_id": "1249319"}, {"ref": "dimonrtm/xgboostclassifier", "kernel_id": "1297664"}, {"ref": "dimonrtm/randomforestclassifierandextratreesclassifier", "kernel_id": "1310557"}, {"ref": "adityajn105/forest-cover-type-prediction", "kernel_id": "1210943"}, {"ref": "atrisaxena/forest-cover-voted-classifier-using-mod", "kernel_id": "1357592"}, {"ref": "paban077/forest-cover-type-prediction-simple-model", "kernel_id": "1596287"}, {"ref": "elitcohen/forest-cover-type-eda-modeling-error-analysis", "kernel_id": "1357238"}, {"ref": "tejaeduc/foresttype-using-keras-nn", "kernel_id": "1262184"}, {"ref": "boomberung/simple-eda-extratrees-v1", "kernel_id": "1925992"}, {"ref": "mlisovyi/hyper-parameter-optimisation", "kernel_id": "1566468"}, {"ref": "mlisovyi/class-fractions-in-the-test", "kernel_id": "1568151"}, {"ref": "mlisovyi/featureengineering-training-with-weights", "kernel_id": "1525753"}, {"ref": "skillsmuggler/eda-and-dimension-reduction", "kernel_id": "1192570"}, {"ref": "skillsmuggler/forest-cover-feature-engineering-and-reduction", "kernel_id": "1206677"}, {"ref": "pstetz/eda-of-forest-cover-with-plotly-and-altair", "kernel_id": "1469277"}, {"ref": "mehulgupta2016154/tableau-cover", "kernel_id": "1645890"}, {"ref": "mehulgupta2016154/tableau-predicts-the-cover", "kernel_id": "1622285"}, {"ref": "suyashgulati/using-pyspark-randomforest-crossvalidatn-gridsrch", "kernel_id": "1567910"}, {"ref": "suyashgulati/2-anns-layers-based-on-features-importance", "kernel_id": "1409794"}, {"ref": "aizijuan/kernelf03d3b5cf5", "kernel_id": "1481377"}, {"ref": "matheusfrota/model-using-extratree", "kernel_id": "1694788"}, {"ref": "brwalk/multiclass-logistic-regression-with-pca", "kernel_id": "1953309"}, {"ref": "ariadneadler/stacked-classifiers-0-818", "kernel_id": "1321619"}, {"ref": "nadare/eda-feature-engineering-and-modeling-4th-359", "kernel_id": "1715248"}, {"ref": "nathra/lightgbm-model-with-some-feature-engineering", "kernel_id": "1204684"}, {"ref": "nathra/keras-deep-nn-with-text-features-upsampling", "kernel_id": "1200575"}, {"ref": "nathra/strong-structure-in-the-id-column", "kernel_id": "1215428"}, {"ref": "shemuelzhao/test-baseline", "kernel_id": "1743685"}, {"ref": "slambert1/extratrees-minimal-feature-engineering", "kernel_id": "1929597"}, {"ref": "liamjflood/forest-class-1", "kernel_id": "1260993"}, {"ref": "zhoulingyan0228/eda-and-dnn-on-forest-coverage", "kernel_id": "1234462"}, {"ref": "sumedhgodbole/ann-forest-cover-type-kernel-2", "kernel_id": "1291531"}, {"ref": "abusiddik/forestcovertype", "kernel_id": "1466068"}, {"ref": "dshobana9/forest-kernel", "kernel_id": "1418297"}, {"ref": "dshobana9/kernel1ec3c94271", "kernel_id": "1418409"}, {"ref": "manufacturingai/forestcovertype-with-tensorflow-and-keras", "kernel_id": "1531972"}, {"ref": "suraj27wyz/random-forest-cover-using-extratrees", "kernel_id": "1686412"}, {"ref": "alfar9000/forest-cover-type-exploratory", "kernel_id": "1336203"}, {"ref": "willtscott/forest-exploration-and-prediction", "kernel_id": "1594441"}, {"ref": "diceke/my-submission", "kernel_id": "1352666"}, {"ref": "bigkirill/forest-cover-using-catboost-multiclass-classifier", "kernel_id": "1581315"}, {"ref": "fernoklump/optimum-variables-w-tuned-extratrees", "kernel_id": "1617882"}, {"ref": "fernoklump/final-vars-with-tuned-variables", "kernel_id": "1598945"}, {"ref": "liaobowen/forest-cover-type", "kernel_id": "1654080"}, {"ref": "wujiazhong/forest-type", "kernel_id": "1665517"}, {"ref": "shashanksagarjha/forest-cover-detaled-eda-modelling", "kernel_id": "1810174"}, {"ref": "rish321/kernela6100375f7", "kernel_id": "1664220"}, {"ref": "manish751/extra-trees", "kernel_id": "1993914"}, {"ref": "vikrammeena/voting-classifier-without-any-additional-feature-s", "kernel_id": "2207000"}, {"ref": "kabibi/xgboost-py", "kernel_id": "2335133"}, {"ref": "justarookie/nmsx1816066", "kernel_id": "2589899"}, {"ref": "jharper/forest-cover-random-forest-predictor", "kernel_id": "2104854"}, {"ref": "zhangtao2018/nmbx1816505", "kernel_id": "2608705"}, {"ref": "ngunhuconchocon/forest-cover", "kernel_id": "2139033"}, {"ref": "nitinpawar/forest-cover-type-kernels-only", "kernel_id": "2857696"}, {"ref": "nitinpawar/forest-cover-type-using-keras-deep-learning", "kernel_id": "2874505"}, {"ref": "xlocus/nmsx1816047", "kernel_id": "2483627"}, {"ref": "xlocus/nmsz1816047-rf", "kernel_id": "2472040"}, {"ref": "xlocus/nmsz1816047", "kernel_id": "2471844"}, {"ref": "pertelluo/kernel4f6b28c5c5", "kernel_id": "2573830"}, {"ref": "veeraitalinna/eda-for-forest-cover-type", "kernel_id": "2254696"}, {"ref": "savilov/decision-tree-with-forest-cover-type-dataset", "kernel_id": "2035995"}, {"ref": "savilov/svc-with-forest-cover-type-dataset", "kernel_id": "2036338"}, {"ref": "zhongyingyu/irving-nmsz1816068", "kernel_id": "2590065"}, {"ref": "nmsx1816120/nmsx1816120", "kernel_id": "2596108"}, {"ref": "dwutian/nmsx1816019", "kernel_id": "2614260"}, {"ref": "nmsx1816093/nmsx1816093", "kernel_id": "2483293"}, {"ref": "nmsf1816013/nmsf1816013-a-simple-classifier", "kernel_id": "2510533"}, {"ref": "kenyangnov/nmsz1816007", "kernel_id": "2531690"}, {"ref": "bx1816009/kernel816bc06f73", "kernel_id": "2477444"}, {"ref": "bx1816009/kernel97fc6efce7", "kernel_id": "2343832"}, {"ref": "nmsx1816058/nmsx1816058", "kernel_id": "2617286"}, {"ref": "nmsx1816038/test777", "kernel_id": "2487972"}, {"ref": "sz1716017/nmsz1716017", "kernel_id": "2475771"}, {"ref": "nmsx1816094/forest-cover-type2", "kernel_id": "2538025"}, {"ref": "zhitengdongsz1816049/nmsz1816049", "kernel_id": "2582198"}, {"ref": "guqitao/sx1816077", "kernel_id": "2469928"}, {"ref": "yanjinsx1816050/my-first-try", "kernel_id": "2365328"}, {"ref": "yanjinsx1816050/my-new4-try", "kernel_id": "2590499"}, {"ref": "yanjinsx1816050/my-22th-try", "kernel_id": "2581657"}, {"ref": "yanjinsx1816050/my-12th-try", "kernel_id": "2570559"}, {"ref": "yanjinsx1816050/my-tenth-try", "kernel_id": "2563692"}, {"ref": "yanjinsx1816050/my-sixth-try", "kernel_id": "2562164"}, {"ref": "wuchenhuan/nmsz1803128", "kernel_id": "2594623"}, {"ref": "nmsx1816060/nmsx1816060", "kernel_id": "2250312"}, {"ref": "nmsx1816060/nmsx1816060-with-deep-learning", "kernel_id": "2449659"}, {"ref": "shengpengsf1816010/kernel7c83564665", "kernel_id": "2404619"}, {"ref": "shengpengsf1816010/kernel5efab970cb", "kernel_id": "2522064"}, {"ref": "shengpengsf1816010/nmsf1816010", "kernel_id": "2591876"}, {"ref": "shengpengsf1816010/adaboostdtc", "kernel_id": "2564589"}, {"ref": "sz1816031/nmsz1816031", "kernel_id": "2551508"}, {"ref": "sz1816031/nmsz1816031-v2", "kernel_id": "2594442"}, {"ref": "wannajing/nmsf1816019", "kernel_id": "2615024"}, {"ref": "wangning123/nmsz1816038", "kernel_id": "2584185"}, {"ref": "zhubeisx1816096/kernelf82be057fd", "kernel_id": "2583843"}, {"ref": "sunfulv1/nmsz1816010", "kernel_id": "2503720"}, {"ref": "yiminyuan/nmsx1803168", "kernel_id": "2575865"}, {"ref": "nmsx1816043/nmsx1816043", "kernel_id": "2599861"}, {"ref": "nmsz1816054/kernel389c922a8c", "kernel_id": "2542355"}, {"ref": "sunmingsx1816030/nmsx1816030", "kernel_id": "2582412"}, {"ref": "cry508069/try-moghazy-s-code-not-original", "kernel_id": "2615191"}, {"ref": "nmsf1816021/nmsf1816021", "kernel_id": "2615077"}, {"ref": "nmsf1816023/tensorflownn-v2", "kernel_id": "2353942"}, {"ref": "naga456/forest-cover", "kernel_id": "2526879"}, {"ref": "dejieli/nuaasz1803119dejieuploadadam", "kernel_id": "2610404"}, {"ref": "fishzh/kernel4c15f85cd2", "kernel_id": "2367063"}, {"ref": "fishzh/nn-after-process", "kernel_id": "2401079"}, {"ref": "fishzh/xgboost", "kernel_id": "2598456"}, {"ref": "sz1816071/forestcovertypekernel", "kernel_id": "2356140"}, {"ref": "rtwe7867/nmbx1802314", "kernel_id": "2492890"}, {"ref": "xxxying/nmsz1816052", "kernel_id": "2572980"}, {"ref": "nmsx1816059/nmsx1816059", "kernel_id": "2583075"}, {"ref": "nmsx1816059/kernel5c6a54108f", "kernel_id": "2583741"}, {"ref": "liuliangjun/sx1816101", "kernel_id": "2590909"}, {"ref": "nmsx1816031/fcnn-v2", "kernel_id": "2584795"}, {"ref": "nmsx1816031/fcnn-c", "kernel_id": "2591450"}, {"ref": "nmsx1816031/fcnn-sjp", "kernel_id": "2572982"}, {"ref": "veritaszjy/nmsx1816006", "kernel_id": "2402517"}, {"ref": "nmsx1816010/nmsx1816010", "kernel_id": "2584383"}, {"ref": "gugaohero/nmsz1816051", "kernel_id": "2601477"}, {"ref": "nmsx1816083/nmsx1816083", "kernel_id": "2496467"}, {"ref": "libiao1994/kernel2201d31c40", "kernel_id": "2550152"}, {"ref": "nmbx1816009/nmbx1816009", "kernel_id": "2477497"}, {"ref": "hpcsx1816034/nmsx1816034", "kernel_id": "2607252"}, {"ref": "liuyuchunsz1816033/kernel9aec093a11", "kernel_id": "2583920"}, {"ref": "nothan/kernelf5fe44d406", "kernel_id": "2600846"}, {"ref": "nothan/nmsz1816043", "kernel_id": "2601449"}, {"ref": "nmsf1816018/nmsf1816018", "kernel_id": "2613633"}, {"ref": "nmsf1816018/kernele6586a05b2", "kernel_id": "2613604"}, {"ref": "fengding54/nmsf1816002", "kernel_id": "2600550"}, {"ref": "nmsx1816023/kernel334f1f4d28", "kernel_id": "2581875"}, {"ref": "yyromei/nmsz1816005", "kernel_id": "2591652"}, {"ref": "yyromei/nmsx18160", "kernel_id": "2574415"}, {"ref": "nmsz1816055/testcode", "kernel_id": "2572132"}, {"ref": "nmsz1816004/n-estmation", "kernel_id": "2555990"}, {"ref": "nmsx1816026/kerneld2b66b7c8e", "kernel_id": "2592892"}, {"ref": "nmsz1803011/nmsz1803011jyf", "kernel_id": "2572600"}, {"ref": "nmsz1803011/nmsz1803011", "kernel_id": "2572293"}, {"ref": "nmbx1806904/nmbx1806904", "kernel_id": "2610358"}, {"ref": "geeerid/sx1816075", "kernel_id": "2606960"}, {"ref": "flyfish302/nmsx1816078", "kernel_id": "2576855"}, {"ref": "peter2019/nmsz1816037", "kernel_id": "2582353"}, {"ref": "nmsf1816001/nmsf1816001", "kernel_id": "2591483"}, {"ref": "nmsf1816007/nmsf1816007", "kernel_id": "2614046"}, {"ref": "nmsz1803104/nmsz1803104withxgb", "kernel_id": "2601372"}, {"ref": "nmsz1803104/nmsz1803104withrfc", "kernel_id": "2601397"}, {"ref": "nmsz1803104/nmsz1803104", "kernel_id": "2614846"}, {"ref": "nmsz1803104/nmsz1803104withkeras", "kernel_id": "2602387"}, {"ref": "lhz2019/ymq1-r", "kernel_id": "2614539"}, {"ref": "wanjiesz/coding1", "kernel_id": "2606779"}, {"ref": "sz1804041/sz1804041", "kernel_id": "2614278"}, {"ref": "wenhuan/nmsz1816046", "kernel_id": "2607451"}, {"ref": "zhouxu123/nmsz1816014", "kernel_id": "2591199"}, {"ref": "zmengqian/nmsz1816069", "kernel_id": "2621417"}, {"ref": "edgargan/nmbx1816508", "kernel_id": "2618212"}, {"ref": "yexinningsz1804026/yxnsz1804026", "kernel_id": "2609954"}, {"ref": "nmsx1816072/nmsx1816072", "kernel_id": "2609916"}, {"ref": "zzzttt/testpy121", "kernel_id": "2616561"}, {"ref": "zzzttt/testpy3", "kernel_id": "2616493"}, {"ref": "zzzttt/kernelceecb8a3e6", "kernel_id": "2616768"}, {"ref": "zzzttt/newsubmit", "kernel_id": "2615566"}, {"ref": "zzzttt/1111222222", "kernel_id": "2615855"}, {"ref": "zzzttt/testkernel", "kernel_id": "2616062"}, {"ref": "zzzttt/testpy1", "kernel_id": "2616154"}, {"ref": "zzzttt/testpy", "kernel_id": "2616090"}, {"ref": "zzzttt/nmsx1816017", "kernel_id": "2622078"}, {"ref": "sx1816017/nmsx1816017", "kernel_id": "2621784"}, {"ref": "sx1816017/kernel1793f8484c", "kernel_id": "2616929"}, {"ref": "sx1816017/kernel006beca1a8", "kernel_id": "2616959"}, {"ref": "ningbowen/sx1807065new1", "kernel_id": "2622108"}, {"ref": "ningbowen/nsgsx1807065", "kernel_id": "2622276"}, {"ref": "ningbowen/sx1807065nsg", "kernel_id": "2623042"}, {"ref": "galany/nmsx1803161", "kernel_id": "2613871"}, {"ref": "nmsf1816009/kernelc5d9270fd3", "kernel_id": "2623395"}, {"ref": "sx1816073/sx1816073", "kernel_id": "2616706"}, {"ref": "sx1816073/nmsx1816073", "kernel_id": "2617793"}, {"ref": "sf1804005/sf1804005-new", "kernel_id": "2631056"}, {"ref": "wgcsf1816006/kerneldee4762b4c", "kernel_id": "2649734"}, {"ref": "michiexile/teacher-reference-solution", "kernel_id": "3068615"}, {"ref": "moghazy/fork-of-ensemble-learning", "kernel_id": "3303584"}, {"ref": "manufacturingai/forrestcover-w-fastai", "kernel_id": "3115691"}, {"ref": "manufacturingai/ensemble-try", "kernel_id": "3695025"}, {"ref": "zshgostop/kernel33f9a1703c", "kernel_id": "3272255"}, {"ref": "louisp27/lcm-forest-cover", "kernel_id": "3168318"}, {"ref": "matthenschke/matthew-forest-type-cover", "kernel_id": "3187602"}, {"ref": "kartikkks/random-forest-classifier-acc-75", "kernel_id": "3444860"}, {"ref": "mohamedmantawy/manta-ml1", "kernel_id": "3122073"}, {"ref": "manjureddygl/crossvalidation-gridsearch-pyspark", "kernel_id": "3808580"}, {"ref": "moghazy/week-1", "kernel_id": "4689613"}, {"ref": "rahulbagga/ensemble-learning-ann-svc", "kernel_id": "4369472"}, {"ref": "dkleefisch/explaining-feature-effects-in-a-ml-black-box-model", "kernel_id": "4974395"}, {"ref": "nikhileshp12/multi-layer-perceptron-sklearn-for-forest-cover", "kernel_id": "4271902"}, {"ref": "gregbrunk/foresttype-viztree", "kernel_id": "4635322"}, {"ref": "pirsabirali/forest-cover-script", "kernel_id": "4549642"}, {"ref": "rebelc/kernel16270e1d33", "kernel_id": "5724687"}, {"ref": "rsoaresp/kernel11f846114c", "kernel_id": "5786226"}, {"ref": "gregbrunk/foresttype-pipeline", "kernel_id": "5541009"}, {"ref": "radeweg4264/forest-type-tpot", "kernel_id": "6979930"}, {"ref": "yinghua123/kernel1e7a09b235", "kernel_id": "6075718"}, {"ref": "justineyu/ghouls", "kernel_id": "7910131"}, {"ref": "imdevskp/forest-cover-type-classification", "kernel_id": "8076713"}, {"ref": "zainabsultan/dataexploration1", "kernel_id": "8924959"}, {"ref": "lukasgajdosech/forest-cover-type-eda", "kernel_id": "8958511"}, {"ref": "hadielnemr/forest-data-exploration", "kernel_id": "8922401"}, {"ref": "heliaritiana/heyju2-forest-cover-type", "kernel_id": "8664031"}, {"ref": "rawanreda/forestkernel", "kernel_id": "8984994"}, {"ref": "engmahmoudnabil/forestcover", "kernel_id": "8997787"}, {"ref": "omarsawan/kernel482fe4ae2a", "kernel_id": "8915459"}, {"ref": "petermagdy/forest", "kernel_id": "8848406"}, {"ref": "mohitsital/top-10-score-forest-cover-type-classification", "kernel_id": "9296146"}, {"ref": "niteshchaurasiya/forestcover-type", "kernel_id": "9614502"}, {"ref": "jagadeesh06/forest-cover-type-eda-feature-eng-ensemble", "kernel_id": "9130388"}, {"ref": "dnreddy/ensembling-with-feature-engineering-and-stacking", "kernel_id": "9137139"}, {"ref": "sainikhilesh/forest-cover-type-classification", "kernel_id": "9164570"}, {"ref": "mohammedasibrahim/kernel542d80a4bc", "kernel_id": "9000047"}, {"ref": "elenaanashkina/forest-cover-type-decisiontreeclassifier", "kernel_id": "9895885"}, {"ref": "gehui97/forest-cover-type-randomforestclassifier", "kernel_id": "9964362"}, {"ref": "caikeren3117001536/kernel346b184f61", "kernel_id": "10867424"}, {"ref": "mohammaddilshad/pyspark-with-crossvalidation-gridsearch", "kernel_id": "11088946"}, {"ref": "mohammaddilshad/pyspark", "kernel_id": "11088825"}, {"ref": "hiro1005/forest-cover-type-kernels-only", "kernel_id": "12052441"}, {"ref": "chitramdasgupta/forest-classification", "kernel_id": "12022548"}, {"ref": "eshulyak/forest-cover-type", "kernel_id": "13884838"}, {"ref": "phongsin/forest-cover-classification", "kernel_id": "14297036"}, {"ref": "attasitwiangkham/simple-prediction", "kernel_id": "14279617"}, {"ref": "ploufplouf/notebook68ce7cdeed", "kernel_id": "15512622"}, {"ref": "ahmedmamdouh2048/forest-cover-type", "kernel_id": "19877730"}, {"ref": "zeyadomar/forest-cover-classifier", "kernel_id": "19842290"}, {"ref": "ahmedabelal/full-solution", "kernel_id": "20016764"}, {"ref": "buhturi/forest-cover-type", "kernel_id": "20011581"}, {"ref": "mariaatef130/notebook1371cd2cfd", "kernel_id": "20159376"}, {"ref": "mariaatef130/notebook84da0f137b", "kernel_id": "20195219"}, {"ref": "nourhanamr/notebooka9ad673d5b", "kernel_id": "20157549"}, {"ref": "enasragab/notebookenas", "kernel_id": "20157615"}, {"ref": "tarekmohamed19/notebook8cfeb2f66e", "kernel_id": "20159940"}, {"ref": "habebaayman/forest-cover-type", "kernel_id": "30202680"}, {"ref": "stevenwaheed/notebook3b6faed9f5", "kernel_id": "30251650"}, {"ref": "shrefmohsen/rf-pipeline-submission", "kernel_id": "30231879"}, {"ref": "seascape/feature-engineering-with-gam-score-0-853", "kernel_id": "33165655"}, {"ref": "ahmedashrafahmed/forest-cover-type-kernels-only", "kernel_id": "33036909"}, {"ref": "ahmedabdbast/notebook8ea14180e7", "kernel_id": "43173714"}, {"ref": "jamalghobrial/predicting-forest-cover", "kernel_id": "43173523"}, {"ref": "squareerror/forest-cover-type-kernels-only", "kernel_id": "43173713"}, {"ref": "fadynabilmofeed/forest-cover-type-kernels-only", "kernel_id": "43334315"}, {"ref": "thomasamgedfathi/fork-of-11111", "kernel_id": "43276759"}, {"ref": "thomasamgedfathi/notebookf4539113d1", "kernel_id": "43274593"}, {"ref": "thomasamgedfathi/fork-of-notebookf4539113d1-a9bce0", "kernel_id": "43392027"}, {"ref": "thomasamgedfathi/fork-of-notebookf4539113d1", "kernel_id": "43384802"}, {"ref": "mdismielhossenabir/forest-cover-type", "kernel_id": "49100880"}, {"ref": "luojid/gp8000-svm", "kernel_id": "75596960"}]}
{"competition_id": "9986", "kernels": [{"ref": "jrmst102/cloudy-faculty-institute-final-sub", "kernel_id": "1205032"}, {"ref": "jrmst102/faculty-institute-diabetes", "kernel_id": "1202378"}, {"ref": "jrmst102/faculty-institute-gd", "kernel_id": "1202208"}, {"ref": "jrmst102/faculty-institute-diabetes-jose-mendoza", "kernel_id": "1201614"}, {"ref": "noahgift/final-submission-great-job-kumar", "kernel_id": "1201660"}, {"ref": "jakobzhao/exercises-for-cloud-faculty-institute-workshop", "kernel_id": "1193592"}, {"ref": "gxrasool/my-final-submission", "kernel_id": "1202586"}, {"ref": "paultimothymooney/exercises-for-cloud-faculty-institute-workshop", "kernel_id": "1174980"}, {"ref": "paultimothymooney/how-to-setup-an-inclass-competition", "kernel_id": "1174995"}, {"ref": "paultimothymooney/predict-diabetes-with-python-starter-kernel", "kernel_id": "1175067"}, {"ref": "paultimothymooney/predict-diabetes-with-r-starter-kernel", "kernel_id": "1182535"}, {"ref": "kumar234/cloudy-faculty-institute-final-sub", "kernel_id": "1201208"}, {"ref": "buntyshah/cloud-faculty-institute-workshop-dnn", "kernel_id": "1224911"}, {"ref": "huiyang94116/gradientboostingclassifier-svm", "kernel_id": "1201516"}]}
{"competition_id": "9988", "kernels": [{"ref": "caoren786/temp4cr786", "kernel_id": "1391208"}, {"ref": "inversion/run-length-decoding-quick-start", "kernel_id": "1366053"}, {"ref": "kmader/baseline-u-net-model-part-1", "kernel_id": "1369937"}, {"ref": "kmader/transfer-learning-for-boat-or-no-boat", "kernel_id": "1379694"}, {"ref": "kmader/package-segmentation-images", "kernel_id": "1382289"}, {"ref": "kmader/from-trained-u-net-to-submission-part-2", "kernel_id": "1382294"}, {"ref": "kmader/transfer-learning-for-human-protein-submission", "kernel_id": "1794080"}, {"ref": "npatta01/naive-model", "kernel_id": "1376411"}, {"ref": "dfalbel/run-length-decoding-r", "kernel_id": "1474517"}, {"ref": "yassinealouini/f2-score-per-epoch-in-keras", "kernel_id": "1518380"}, {"ref": "yassinealouini/idiomatic-pandas-processing", "kernel_id": "1513201"}, {"ref": "yassinealouini/mlflow-hyperopt-u-net-workflow", "kernel_id": "1471557"}, {"ref": "deyury/visual-analysis-of-failures", "kernel_id": "1763994"}, {"ref": "voglinio/airbus-ship-detection-clustering-no-ship-images", "kernel_id": "1389078"}, {"ref": "voglinio/from-masks-to-bounding-boxes", "kernel_id": "1392246"}, {"ref": "voglinio/from-masks-to-rotated-bounding-boxes", "kernel_id": "1435162"}, {"ref": "ezietsman/airbus-eda", "kernel_id": "1369796"}, {"ref": "renatoh/airbus-ship-detection-read-data-pucp", "kernel_id": "1775489"}, {"ref": "markhacker/shippy-macshippyface", "kernel_id": "1377848"}, {"ref": "deepak112/kernelea4b6a30f5", "kernel_id": "1458822"}, {"ref": "markup/f2-metric-optimized", "kernel_id": "1508161"}, {"ref": "hmendonca/classification-and-segmentation-fp", "kernel_id": "1485731"}, {"ref": "hmendonca/u-net-model-with-submission", "kernel_id": "1395053"}, {"ref": "hmendonca/airbus-mask-rcnn-and-coco-transfer-learning", "kernel_id": "1780540"}, {"ref": "hugolapointe/airbus-ship-detection-challenge", "kernel_id": "1392191"}, {"ref": "windsurfer/baseline-u-net-on-pytorch", "kernel_id": "1378398"}, {"ref": "weilinku/modified-u-net-model-with-hyperparameter-tuning", "kernel_id": "1686642"}, {"ref": "amitkumarjaiswal/airbus-ship-detection-eda", "kernel_id": "1369890"}, {"ref": "witwitchayakarn/airbus-ship-detection-eda", "kernel_id": "1494676"}, {"ref": "witwitchayakarn/u-net-with-pytorch", "kernel_id": "1565459"}, {"ref": "paulorzp/1-line-base-model-v2", "kernel_id": "1385944"}, {"ref": "grigorbezirganyan/detect-if-there-is-a-ship-by-cnn-base-model", "kernel_id": "1546797"}, {"ref": "pedrodiamel/airbus-ship-detection-load-data", "kernel_id": "1375988"}, {"ref": "mingruimingrui/finally-ship-detection", "kernel_id": "1780034"}, {"ref": "jeffaudi/create-a-submission-with-no-ship-masks", "kernel_id": "1970077"}, {"ref": "baranwal/ship-detection-challenge", "kernel_id": "1710902"}, {"ref": "raresbarbantan/f2-metric", "kernel_id": "1383174"}, {"ref": "zitorelova/airbus-final-prediction-kernel-ensemble-1-and-11", "kernel_id": "1986018"}, {"ref": "peacebowl/airbus-challenge-noob-team", "kernel_id": "1601152"}, {"ref": "danil328/unet34-submission-with-new-data", "kernel_id": "1976072"}, {"ref": "mdyzma/kernelb0f3853a10", "kernel_id": "1429990"}, {"ref": "rupeshwadibhasme/mobilenet-model-with-submission", "kernel_id": "1518967"}, {"ref": "ashishsinhaiitr/airbus-yaeda", "kernel_id": "1372228"}, {"ref": "krishanudb/keras-based-unet-model-construction-tutorial", "kernel_id": "1379019"}, {"ref": "ashishpatel26/airbus", "kernel_id": "1371276"}, {"ref": "ashishpatel26/unet34-submission", "kernel_id": "1577587"}, {"ref": "ashishpatel26/u-net-model-with-abstract-layer-submission", "kernel_id": "1448168"}, {"ref": "ibouazizi/pytorch-dataset", "kernel_id": "1732360"}, {"ref": "pickthorns/run-length-decoding-quick-start", "kernel_id": "1411614"}, {"ref": "plarmuseau/airbus-improving-images", "kernel_id": "1372543"}, {"ref": "netzkontrast/convinient-train-test-repack-features", "kernel_id": "1561570"}, {"ref": "nikhilroxtomar/unet34-submission", "kernel_id": "1576974"}, {"ref": "zhixinzhang/eda-for-airbus-ship-detection-challenge", "kernel_id": "1371424"}, {"ref": "mvsfnig/com-ml-airbus", "kernel_id": "1495770"}, {"ref": "nafisur/airbus-ship-detection", "kernel_id": "1371300"}, {"ref": "varshneydevansh/ships-prediction-a-beginners-guide", "kernel_id": "1372060"}, {"ref": "dmitrykonovalov/convert-run-length-encoding-to-png-mask-images", "kernel_id": "1391628"}, {"ref": "julian3833/5-submitting-the-test-file-1-0-public-lb", "kernel_id": "1599713"}, {"ref": "julian3833/3-basic-exploratory-analysis", "kernel_id": "1599361"}, {"ref": "julian3833/4-exploring-public-models", "kernel_id": "1579821"}, {"ref": "julian3833/2-understanding-plotting-rle-bounding-boxes", "kernel_id": "1578580"}, {"ref": "julian3833/1-loading-and-visualizing-the-images", "kernel_id": "1565307"}, {"ref": "rloury/channel-difference-creation-of-bounding-box", "kernel_id": "1481538"}, {"ref": "jinglebot/eda-by-a-beginner", "kernel_id": "1954868"}, {"ref": "virksaab/airbus-ship-detection-eda-and-introduction", "kernel_id": "1501477"}, {"ref": "meaninglesslives/airbus-ship-detection-data-visualization", "kernel_id": "1374303"}, {"ref": "meaninglesslives/vgg-net-feature-extraction-and-visualization", "kernel_id": "1383723"}, {"ref": "santosh17/elaboratingtransfer-learning-for-boat-or-no-boat", "kernel_id": "1394620"}, {"ref": "iafoss/fine-tuning-resnet34-on-ship-detection", "kernel_id": "1492909"}, {"ref": "iafoss/unet34-dice-0-87", "kernel_id": "1542587"}, {"ref": "iafoss/rotating-bounding-boxes-ship-localization", "kernel_id": "1579678"}, {"ref": "iafoss/unet34-submission-tta-0-699-new-public-lb", "kernel_id": "1571658"}, {"ref": "iafoss/fine-tuning-resnet34-on-ship-detection-new-data", "kernel_id": "1826927"}, {"ref": "iafoss/list-of-overlapping-images-for-validation-set", "kernel_id": "1873166"}, {"ref": "iafoss/remove-overlap", "kernel_id": "1888956"}, {"ref": "iafoss/unet34r-ship-detection", "kernel_id": "1917316"}, {"ref": "ibrahimkhan/ship-of-fools", "kernel_id": "1582717"}, {"ref": "snig12swain/airbus-ship-detector", "kernel_id": "1374324"}, {"ref": "liuchuanloong/airbus-ship-detection-challenge-map", "kernel_id": "1869484"}, {"ref": "alexanderliao/no-mask-prediction", "kernel_id": "1968598"}, {"ref": "lifa08/run-length-encode-and-decode", "kernel_id": "1678230"}, {"ref": "shin2ro/airbus-ship-detection-eda", "kernel_id": "1524180"}, {"ref": "kotarojp/first-step-for-submission-u-net-tta", "kernel_id": "1950302"}, {"ref": "manuscrits/create-a-validation-dataset-correcting-the-leak", "kernel_id": "1912922"}, {"ref": "qgh1223/airbus-yaeda-c49f76", "kernel_id": "1412737"}, {"ref": "lucasastorian/airbus-final-submission", "kernel_id": "1899789"}, {"ref": "henningyan/introduction-to-image-classification", "kernel_id": "1558984"}, {"ref": "rupeshs/unet34", "kernel_id": "1578850"}, {"ref": "rupeshs/basic-eda-train-data-v2", "kernel_id": "1867577"}, {"ref": "ankitjaadoo/run-length-decoding-quick-start", "kernel_id": "1859836"}, {"ref": "leighplt/pytorch-tutorial-dataset-data-preparetion-stage", "kernel_id": "1508835"}, {"ref": "frlhell/ship-detection-with-pytorch-unet", "kernel_id": "1885001"}, {"ref": "maheshmeleti350/first-model", "kernel_id": "1674714"}, {"ref": "rackovic1994/convolutional-neural-network", "kernel_id": "1443217"}, {"ref": "rackovic1994/feature-engineering", "kernel_id": "1425483"}, {"ref": "tianxi/unet34-submission-tta-new-data-c7f1c3", "kernel_id": "1977039"}, {"ref": "sicrop/feature-engineering-ensemble-model-top-10", "kernel_id": "1995970"}, {"ref": "amneves/u-net-segmentation-oom-i-need-a-better-gpu-help", "kernel_id": "1820656"}, {"ref": "sureshsuri/airbus-pre", "kernel_id": "1483405"}, {"ref": "uysimty/ship-detection-using-keras-u-net", "kernel_id": "1748762"}, {"ref": "mbonardi/transfer-learning-for-boat-or-no-boat-767abc-mab", "kernel_id": "1739306"}, {"ref": "deepak525/digit-rec", "kernel_id": "1926321"}, {"ref": "zclarkwilliams/airbus-ship-detection-rev1", "kernel_id": "1411707"}, {"ref": "zclarkwilliams/airbus-rev1", "kernel_id": "1451539"}, {"ref": "deekshithbg/naive-model", "kernel_id": "1376986"}, {"ref": "sgalwan/airbus-ship-detection-challenge-eda-metrics", "kernel_id": "1416298"}, {"ref": "chandyalex/masks-to-bounding-and-generate-tf-csv-file", "kernel_id": "1400327"}, {"ref": "smuehling/watershed-with-k-means", "kernel_id": "1585500"}, {"ref": "karamelsutra/airbus-ship-detection-yet-another-eda-v2", "kernel_id": "1446690"}, {"ref": "helibu/ship-detection-data-visualization-and-analysis", "kernel_id": "1866779"}, {"ref": "tcapelle/fastai-airbus-binary", "kernel_id": "1509527"}, {"ref": "alexcampos4/eda-airbus-ship-detection-challenge", "kernel_id": "1788549"}, {"ref": "abbracadabra/various-loss", "kernel_id": "1749483"}, {"ref": "luksal/airbus-ship-detection-uxception-384x384", "kernel_id": "1878125"}, {"ref": "abhisheksss/model-ship-detection", "kernel_id": "1784657"}, {"ref": "samlin001/mask-r-cnn-ship-detection-minimum-viable-model-1", "kernel_id": "1991413"}, {"ref": "yassinealouini/airbus-quick-eda-mask-r-cnn-annotated", "kernel_id": "2066981"}, {"ref": "abimannan/airship-deep-detection", "kernel_id": "2020631"}, {"ref": "eigrad/convert-rle-to-bounding-box-x0-y0-x1-y1", "kernel_id": "2380742"}, {"ref": "super13579/unet34-predict-result", "kernel_id": "2034459"}, {"ref": "super13579/u-net-base-on-resnet34-transfer-learning-keras", "kernel_id": "2038181"}, {"ref": "super13579/simple-transfer-learning-detect-ship-exist-keras", "kernel_id": "2003664"}, {"ref": "mgsykora/airbus-mask-r-cnn", "kernel_id": "2095685"}, {"ref": "oneraghavan/airbus-ship-detection-eda-101", "kernel_id": "2009612"}, {"ref": "ruchibahl18/run-length-encoding-airbus-challenge", "kernel_id": "2170736"}, {"ref": "seesee/se-resnet50-vs-vgg-16", "kernel_id": "2359836"}, {"ref": "frappuccino/from-masks-to-rotating-bounding-boxes-using-opencv", "kernel_id": "2055640"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "litt4343/group-project", "kernel_id": "2096406"}, {"ref": "phmagic/data-exploration", "kernel_id": "2590503"}, {"ref": "tongzeyud/kernel71cb77e66e", "kernel_id": "2406346"}, {"ref": "xutao226/airbus-ship-detection-tensorflow", "kernel_id": "2093732"}, {"ref": "marvelousninja/pytorch-synchronization-issue-1-0", "kernel_id": "2380583"}, {"ref": "marvelousninja/kaggle-airbus-3-96-minutes", "kernel_id": "2381073"}, {"ref": "shunjiangxu/func-to-convert-rle-to-vertices-for-localization", "kernel_id": "2010577"}, {"ref": "johnnyjana730/ensemble-lafoss-and-keras-model", "kernel_id": "2113930"}, {"ref": "ashuta03/ship-segmentation-with-retinanet-and-mask-rcnn", "kernel_id": "2108523"}, {"ref": "dvizcaya/visualization-of-training-data", "kernel_id": "2040637"}, {"ref": "eyobwg/airbus-ship-detection", "kernel_id": "2014316"}, {"ref": "prath01/airbus-decode-all-masks", "kernel_id": "2063698"}, {"ref": "cattnb/ece6258-final-project", "kernel_id": "2306235"}, {"ref": "hrishiballal/modified-u-net-model", "kernel_id": "2083125"}, {"ref": "heerman/airbus-sat-image-seg-model-u-net-10b", "kernel_id": "2652472"}, {"ref": "heerman/airbus-sat-image-eda", "kernel_id": "2023020"}, {"ref": "samlin001/mask-r-cnn-ship-detection-minimum-viable-model-1a", "kernel_id": "2097686"}, {"ref": "samlin001/mask-r-cnn-ship-detection-minimum-viable-model-2", "kernel_id": "2088850"}, {"ref": "qaiser43/using-resnet-detect-ship-or-no-ship", "kernel_id": "2098986"}, {"ref": "qaiser43/resnet50-cnn-ship-or-no-ship", "kernel_id": "2093175"}, {"ref": "qaiser43/using-cnn-detect-ship-or-no-ship", "kernel_id": "2073268"}, {"ref": "valcoder/ship-detection-using-keras-u-net", "kernel_id": "3619649"}, {"ref": "valcoder/mask-r-cnn-ship-detection-minimum-viable-model-1", "kernel_id": "3622809"}, {"ref": "ingbiodanielh/airbus-ship-detection", "kernel_id": "3442171"}, {"ref": "rijuldhir/img-seg-new", "kernel_id": "3615745"}, {"ref": "anil777/transfer-learning-for-boat-or-no-boat", "kernel_id": "3611026"}, {"ref": "xuanhungho/ship-detection-u-net-model", "kernel_id": "3946806"}, {"ref": "xfireberg/transfer-learning-for-boat-or-no-boat", "kernel_id": "3864191"}, {"ref": "sercangndgn/transfer-learning-for-boat-or-no-boat", "kernel_id": "3864424"}, {"ref": "sercangndgn/first-step-for-submission-u-net-tta", "kernel_id": "3873109"}, {"ref": "hmendonca/mask-rcnn-and-medical-transfer-learning-siim-acr", "kernel_id": "4551485"}, {"ref": "theneck/airbus-segmentation-fastai", "kernel_id": "4992148"}, {"ref": "aditya100/airbus-ship-detection-unet", "kernel_id": "4206235"}, {"ref": "manchans/kernel55be1d36df", "kernel_id": "4589946"}, {"ref": "awater1223/unet-resnet34-for-ships", "kernel_id": "5260924"}, {"ref": "maxboels/airbus-ship-detection-from-satellite-imagery", "kernel_id": "6374294"}, {"ref": "adldotori/basic-image-segmentation", "kernel_id": "6752187"}, {"ref": "choi98/airbus-ship-detection", "kernel_id": "6772640"}, {"ref": "starbuucks/to-make-bounding-box", "kernel_id": "6771628"}, {"ref": "starbuucks/first-approach", "kernel_id": "6757852"}, {"ref": "esrever98/draft2", "kernel_id": "6769279"}, {"ref": "sohaibanwaar1203/u-net-train-your-data-set", "kernel_id": "7411573"}, {"ref": "drobchak1988/u-net-train-jaccard-distance", "kernel_id": "7787005"}, {"ref": "drobchak1988/understand-dataset", "kernel_id": "7802612"}, {"ref": "drobchak1988/u-net-dice-coef-with-binary-cross-loss", "kernel_id": "7774360"}, {"ref": "drobchak1988/u-net-train-dice-coef", "kernel_id": "7709758"}, {"ref": "drobchak1988/u-net-dice-comb-binary-crossentropy", "kernel_id": "7720758"}, {"ref": "drobchak1988/submission-comb-losses-diec-binary-crossentropy", "kernel_id": "7732193"}, {"ref": "qiuzy1/unet-normal", "kernel_id": "7555823"}, {"ref": "qiuzy1/resnet50", "kernel_id": "7520593"}, {"ref": "qiuzy1/vgg-16", "kernel_id": "7806896"}, {"ref": "qiuzy1/inception-resnetv2", "kernel_id": "8315466"}, {"ref": "qiuzy1/fork-of-qzynet-profect1", "kernel_id": "8273470"}, {"ref": "qiuzy1/jpu-unet-last", "kernel_id": "8230710"}, {"ref": "qiuzy1/newqzylast", "kernel_id": "8402219"}, {"ref": "qiuzy1/focal-tversky-loss", "kernel_id": "8528122"}, {"ref": "qiuzy1/u-net-tversky", "kernel_id": "8512208"}, {"ref": "qiuzy1/focal-tversky-loss2", "kernel_id": "8535687"}, {"ref": "alexj21/pytorch-eda-unet-from-scratch-finetuning", "kernel_id": "8706386"}, {"ref": "blainerothrock/u-net-model-with-dropout", "kernel_id": "8418847"}, {"ref": "qiuzy2/focaldice-loss", "kernel_id": "8509584"}, {"ref": "qiuzy2/focal-iou-loss", "kernel_id": "8519728"}, {"ref": "qiuzy2/1unet-iou-b", "kernel_id": "8493885"}, {"ref": "qiuzy2/sub-tversky-qzy", "kernel_id": "8507867"}, {"ref": "qiuzy2/qzy-tversky-40", "kernel_id": "8503612"}, {"ref": "qiuzy2/unet-dice", "kernel_id": "8470470"}, {"ref": "qiuzy2/u-net-bceloss", "kernel_id": "8480169"}, {"ref": "qiuzy2/resnet-50", "kernel_id": "8332218"}, {"ref": "qiuzy2/densenetlast", "kernel_id": "8344593"}, {"ref": "qiuzy4/qzynet-with-tversky", "kernel_id": "8474681"}, {"ref": "qiuzy4/unet-1", "kernel_id": "8442797"}, {"ref": "qiuzy4/qzy-tversky", "kernel_id": "8503834"}, {"ref": "qiuzy4/unet-b", "kernel_id": "8488431"}, {"ref": "qiuzy4/resnet50unet-iou", "kernel_id": "8522899"}, {"ref": "qiuzy4/deeplab-x-iou", "kernel_id": "8522728"}, {"ref": "qiuzy4/inceptionv3last", "kernel_id": "8342904"}, {"ref": "qiuzy4/vgg16last", "kernel_id": "8334196"}, {"ref": "qiuzy4/vgg16last1", "kernel_id": "8338612"}, {"ref": "qiuzy4/u-net-model-with-abstract-layer-submission", "kernel_id": "8382290"}, {"ref": "qiuzy8/focal-tversky-loss", "kernel_id": "8545138"}, {"ref": "qiuzy8/resnet50focal", "kernel_id": "8534880"}, {"ref": "qiuzy8/ceshitpu", "kernel_id": "8471429"}, {"ref": "qiuzy8/qzy-tversky", "kernel_id": "8487269"}, {"ref": "qiuzy8/qzy-iou", "kernel_id": "8512357"}, {"ref": "qiuzy8/fork-of-qzynet-profect1", "kernel_id": "8346170"}, {"ref": "sermelo/poc-2-cnn", "kernel_id": "9382147"}, {"ref": "sermelo/poc-2", "kernel_id": "9288505"}, {"ref": "sermelo/poc-3-u-net", "kernel_id": "9764120"}, {"ref": "liranzxc/ship-detection-by-pytorch-segmentation", "kernel_id": "9927258"}, {"ref": "abdul19083/ship-detection-mrcnn", "kernel_id": "9287623"}, {"ref": "alexj21/fastai-unet-finetuning-0-823-lb", "kernel_id": "9057556"}, {"ref": "alexj21/fastai-resnet34-classifier-acc-0-975", "kernel_id": "9009181"}, {"ref": "hamiddd/masks-to-rotating-bounding-boxes-using-opencv", "kernel_id": "10530330"}, {"ref": "nikhilrayaprolu1/airbus-mask-rcnn-and-coco-transfer-learning", "kernel_id": "10304173"}, {"ref": "mathieuxboss/pytorch-eda-unet-from-scratch-finetuning", "kernel_id": "10647656"}, {"ref": "mathieuxboss/classification-and-segmentation-fp", "kernel_id": "10646155"}, {"ref": "sohansp/ship-detection-final-iit", "kernel_id": "11658374"}, {"ref": "debasisdotcom/ship-detection-from-satellite-image", "kernel_id": "11444355"}, {"ref": "debasisdotcom/ship-classification-from-satellite-images", "kernel_id": "11691347"}, {"ref": "smrutiranjanparida/yolov3-ship-detection", "kernel_id": "11719771"}, {"ref": "junkanggu/airbus-ship-detection-with-tf-object-detection-api", "kernel_id": "11678180"}, {"ref": "gugualaoc/fine-tuning-resnet34-on-ship-detection", "kernel_id": "12997984"}, {"ref": "sulinary/draft-airships", "kernel_id": "12890573"}, {"ref": "srivathsansenthil/ship-detection", "kernel_id": "12572119"}, {"ref": "pfribeiro/u-net-using-gdice-and-sgdice", "kernel_id": "12934118"}, {"ref": "liaohc/attention-u-net-for-covid-detection", "kernel_id": "12583344"}, {"ref": "irmdgnc/bitirme", "kernel_id": "13309551"}, {"ref": "mrdvneltmz/yolov3-ship-detection", "kernel_id": "13776682"}, {"ref": "pedrobeltrnguerra/test1", "kernel_id": "13472259"}, {"ref": "jarutis/fastai-unet-basic", "kernel_id": "14467343"}, {"ref": "ampotdar/transfer-learning-for-boat-or-no-boat-dfy-techno", "kernel_id": "14862269"}, {"ref": "abhishekchopra/ship-detection-try", "kernel_id": "14517731"}, {"ref": "yasirkuchay/transfer-learning-for-boat-or-no-boat", "kernel_id": "14886772"}, {"ref": "dupatipenchalaia/pen-yolov3-ship-detection", "kernel_id": "15652229"}, {"ref": "ajax0564/pose-estimation-state-of-the-art", "kernel_id": "16792759"}, {"ref": "pedrobeltrnguerra/fastai-submission-cropping-imgs", "kernel_id": "16538221"}, {"ref": "pedrobeltrnguerra/fastai-train-resnet-classification-256crops", "kernel_id": "16328690"}, {"ref": "pedrobeltrnguerra/fastai-train-unet-over-256-crops-segmentation", "kernel_id": "16352902"}, {"ref": "siripornkongrat/airbus-ship-detection-sk", "kernel_id": "16602511"}, {"ref": "siripornkongrat/sk-airbus-ship-detection", "kernel_id": "16639637"}, {"ref": "akshaygiridhar/ship-detection-ai", "kernel_id": "16593403"}, {"ref": "phanomkornhomsiang/airbus-ship-detection", "kernel_id": "16612910"}, {"ref": "chisanchensc/run-length-decoding-quick-start", "kernel_id": "16007990"}, {"ref": "chisanchensc/unet34-dice-0-87-rotation-testing", "kernel_id": "16573924"}, {"ref": "duong2000x10/transfer-learning-for-boat-or-no-boat", "kernel_id": "17593263"}, {"ref": "dibyasadhukhan/masks-to-rotating-bounding-boxes-using-opencv", "kernel_id": "17341767"}, {"ref": "rainahuc/unet34-dice-0-87-rotation-testing", "kernel_id": "17049801"}, {"ref": "pesssinaluca/ship-detection-visualizations-and-eda", "kernel_id": "18015630"}, {"ref": "lukapaladin/segmentacija-plovila-projekt", "kernel_id": "19262444"}, {"ref": "madbluey/fork-of-ut-airbus-test", "kernel_id": "20347870"}, {"ref": "voluch346/airbus-ship-detection-eda", "kernel_id": "21959482"}, {"ref": "aryadhorajiya/maskrcnn-retinanet-implementation", "kernel_id": "21964254"}, {"ref": "aryadhorajiya/masks-to-bounding-boxes", "kernel_id": "21584068"}, {"ref": "aryadhorajiya/notebook35844549db", "kernel_id": "21462526"}, {"ref": "tanguanquan/detr-airbus-detection-attempt-2", "kernel_id": "22793262"}, {"ref": "adarshsiva2k/simple-transfer-learning-detect-ship-exist-keras", "kernel_id": "22175233"}, {"ref": "mustaphafakihi/notebooka3f748408d", "kernel_id": "24108922"}, {"ref": "jeniagerasimov/airbus-semantic-segmantation", "kernel_id": "24419126"}, {"ref": "asd12fgh/ship-preprocess", "kernel_id": "25387626"}, {"ref": "jsxyhelu2019/airbus-ship-detection-challenge-fastai-v2", "kernel_id": "26375026"}, {"ref": "thepavtiger/airbus-kaggle-competition", "kernel_id": "26423168"}, {"ref": "huangshuojia/fastai-unet", "kernel_id": "26146238"}, {"ref": "chandubl/u-net-model-with-submission", "kernel_id": "26550594"}, {"ref": "ropranam/ships-and-types", "kernel_id": "26238441"}, {"ref": "jordandahan/data-loader-airbus-ship", "kernel_id": "26863154"}, {"ref": "bgoldfe2/mask-rcnn-coco-transfer-learning-ship-detection", "kernel_id": "26210996"}, {"ref": "lukapaladin/diplomski-priprema-slika", "kernel_id": "27063201"}, {"ref": "glebelushov/notebooka13048a655", "kernel_id": "27187629"}, {"ref": "fabiolaceron/convolutional-neural-network-airbus-ship-detection", "kernel_id": "27433974"}, {"ref": "abhimanyubhowmik/satelite-image-super-resolution", "kernel_id": "28501421"}, {"ref": "riamahajan/notebookf9298456d3", "kernel_id": "28812719"}, {"ref": "julichitai/net-10-2", "kernel_id": "29842099"}, {"ref": "nikiandr/notebook7470d268e4", "kernel_id": "29927106"}, {"ref": "guillaumehubert/ship-detection-data-visualization-and-analysis", "kernel_id": "29687723"}, {"ref": "ppppdddd/airbus-ship-dataset-eda", "kernel_id": "29506254"}, {"ref": "vladyslavsh/data-analysis-unet-dwt-tenserflow", "kernel_id": "30892588"}, {"ref": "rahulkadam0909/convert-rle-to-bounding-boxes", "kernel_id": "30205656"}, {"ref": "ramankanaa/airbus-mask-rcnn-and-coco-transfer-learning", "kernel_id": "30070604"}, {"ref": "chereddysaivignesh/workingairbus-mask-rcnn-and-coco-transfer-learning", "kernel_id": "30661990"}, {"ref": "vamsikrishnapopuri/resnet-50", "kernel_id": "31550347"}, {"ref": "elenimathiou/ship-detection-in-satellite-images-with-mask-r-cnn", "kernel_id": "32965416"}, {"ref": "akhilbabu2/mini-proj", "kernel_id": "34766560"}, {"ref": "akhilbabu2/aki-proj", "kernel_id": "34981220"}, {"ref": "akhilbabu2/new-one-mini", "kernel_id": "34950240"}, {"ref": "nehashaikh2911/lab1-p3", "kernel_id": "35947775"}, {"ref": "seetharambethala/my-major", "kernel_id": "35246302"}, {"ref": "akhilbabu2/notebook35ed71c559", "kernel_id": "35455857"}, {"ref": "akhilbabu2/notebook51411e7ccb", "kernel_id": "35455659"}, {"ref": "akhilbabu2/notebookc5c26ae973", "kernel_id": "35454888"}, {"ref": "akhilbabu2/notebookc45a8605ba", "kernel_id": "35453820"}, {"ref": "jeffaudi/airbus-ships-dataset-with-oriented-bounding-boxes", "kernel_id": "36689166"}, {"ref": "santhosshks/notebook7da9f786d7", "kernel_id": "36845069"}, {"ref": "mehmetbatuhanduman/shipnetgp2", "kernel_id": "38072392"}, {"ref": "cherrlacharitha/yolov3-ship-detection", "kernel_id": "38008206"}, {"ref": "cherrlacharitha/ship-detection", "kernel_id": "38007485"}, {"ref": "noyhanan/airbus-ship-detection-noy-hanan-training", "kernel_id": "38794077"}, {"ref": "idoronen/ido-ronen-ship-detection", "kernel_id": "38642628"}, {"ref": "urielmalka/airbus-ship-detection-uriel-malka", "kernel_id": "38813420"}, {"ref": "yuvalcohen315/airbus-ship-detection", "kernel_id": "38813485"}, {"ref": "santhosshks/u-net-model-with-submission", "kernel_id": "38290972"}, {"ref": "yehorpanchenko/pipeline-airbus", "kernel_id": "39886324"}, {"ref": "ridwanakmal/kapal2an", "kernel_id": "39642809"}, {"ref": "noyhanan/airbus-ship-detection-noy-hanan-inference", "kernel_id": "39090913"}, {"ref": "naomie25/airbus-ship-detection", "kernel_id": "39114438"}, {"ref": "naomie25/airbus-ship-naomie-matan", "kernel_id": "39136661"}, {"ref": "giguachad/test-task", "kernel_id": "39965179"}, {"ref": "rajesh200026/masked-rcnn-ds5500", "kernel_id": "40135204"}, {"ref": "yehorpanchenko/inference-airbus", "kernel_id": "40021104"}, {"ref": "yehorpanchenko/model-training-airbus", "kernel_id": "40023560"}, {"ref": "aishwaryakurnutala/rcnn-baeline", "kernel_id": "40179804"}, {"ref": "aishwaryakurnutala/data-prep", "kernel_id": "40177378"}, {"ref": "aishwaryakurnutala/notebookd41765111d", "kernel_id": "40175574"}, {"ref": "thivux/u-net-model-with-submission", "kernel_id": "40227571"}, {"ref": "dimamazurchak/ship-detection", "kernel_id": "40405082"}, {"ref": "michellecmara/final-project", "kernel_id": "41959403"}, {"ref": "malayajkumar/ship-detection", "kernel_id": "42120753"}, {"ref": "ricardoarontzuczih/classification-final2-0-resnet", "kernel_id": "42395022"}, {"ref": "ricardoarontzuczih/classification-3ff20a", "kernel_id": "42394681"}, {"ref": "michellecmara/classification", "kernel_id": "42199994"}, {"ref": "catunima/classification-and-segmentation-fp", "kernel_id": "42170069"}, {"ref": "catunima/classification", "kernel_id": "42193184"}, {"ref": "catunima/classification-fina", "kernel_id": "42394771"}, {"ref": "catunima/classification-final2-0-vgg", "kernel_id": "42395063"}, {"ref": "unstablediffuser/mla-project-pretrained-model", "kernel_id": "42447781"}, {"ref": "sankeertherra/mla-project-pretrained-model", "kernel_id": "43520885"}, {"ref": "jvcunha/simple-transfer-learning-detect-ship-exist-keras", "kernel_id": "44181509"}, {"ref": "donyakhaledyan/satelite-image-super-resolution", "kernel_id": "44779098"}, {"ref": "rajeevsinghsisodiya/detecting-ships-by-satellite-imagery-deep-learning", "kernel_id": "44716969"}, {"ref": "vinitkp/transferlearning-boatno-boat", "kernel_id": "45096866"}, {"ref": "vintel38/airbus-ship-detection-maskrcnn-w-fair-detectron2", "kernel_id": "46806530"}, {"ref": "poluidol/notebook2bfdc7d00c", "kernel_id": "46455279"}, {"ref": "sidelmeril/airbus-ship-detection", "kernel_id": "46701623"}, {"ref": "dorbezfradj/ship-detection-ps1", "kernel_id": "46417654"}, {"ref": "radhibenafia/projetsem", "kernel_id": "46447385"}, {"ref": "bard3lf/notebookf7e77e500b", "kernel_id": "46496343"}, {"ref": "bard3lf/notebook7a64465b9e", "kernel_id": "46586448"}, {"ref": "bard3lf/notebook209f8fec22", "kernel_id": "46978346"}, {"ref": "jlin1610/run-length-decoding-quick-start", "kernel_id": "46895970"}, {"ref": "jlin1610/ship-detection", "kernel_id": "46897438"}, {"ref": "volodymyrhryniuk/unet-for-airbus-ship-segmentation-challange", "kernel_id": "47414323"}, {"ref": "dhaouadiabderahmen/projet-sem", "kernel_id": "47564603"}, {"ref": "aravjain007/how-the-ship-dataset-was-made", "kernel_id": "48228583"}, {"ref": "boohdaaaan/airbus-ship-detection-u-net", "kernel_id": "49354714"}, {"ref": "kolyanechay/unet-ships", "kernel_id": "50572561"}, {"ref": "annabulgakova/test-task", "kernel_id": "50617710"}, {"ref": "dontdeleteme/airbus-ship-compet", "kernel_id": "50830984"}, {"ref": "khirran02/notebookfb5b22ecd8", "kernel_id": "51583847"}, {"ref": "vladislav573/airbus-ship-detection-model", "kernel_id": "51418667"}, {"ref": "khirran02/ship-dectection-from-satellite-images-using-u-net", "kernel_id": "52982662"}, {"ref": "krithikaka/notebook257fd8f9e7", "kernel_id": "52942778"}, {"ref": "vladislav573/airbus-v2-0", "kernel_id": "53471463"}, {"ref": "joanpau/airbus-challenge-ship-detection-data-displaying", "kernel_id": "54376916"}, {"ref": "kumarideepanshi/notebook7a14f76881", "kernel_id": "55041236"}, {"ref": "sparshkandpal/dipproject", "kernel_id": "55123617"}, {"ref": "hanaanahmedjadran/dipproject", "kernel_id": "59603531"}, {"ref": "kumarideepanshi/ship-detection-using-deep-learning", "kernel_id": "60222697"}, {"ref": "meln1337/unet-resnet34-on-pytorch", "kernel_id": "61699900"}, {"ref": "kutskh/airbus-eda", "kernel_id": "61820025"}, {"ref": "radhakrishnagarg/unet34-dice-0-87", "kernel_id": "61376417"}, {"ref": "radhakrishnagarg/ship-detection-with-pytorch-unet", "kernel_id": "61406416"}, {"ref": "twest189/airbus-ship-detection-dice-loss", "kernel_id": "61983638"}, {"ref": "dlbkvv/exploratory-data-analysis", "kernel_id": "61836207"}, {"ref": "mykoladzhun/inference-tensorflow-u-net", "kernel_id": "61935945"}, {"ref": "artemzysko/ship-detection-tensorflow-u-net-dice-0-65", "kernel_id": "62413370"}, {"ref": "artemzysko/airbus-ship-detection-simple-eda", "kernel_id": "62379508"}, {"ref": "artemzysko/ship-detection-model-inference", "kernel_id": "62480826"}, {"ref": "volodymyrhryniuk/exploratory-data-analysis-for-airbus-ship-dataset", "kernel_id": "62091156"}, {"ref": "dlbkvv/model-training", "kernel_id": "62019830"}, {"ref": "dlbkvv/model-testing", "kernel_id": "62152173"}, {"ref": "mykoladzhun/tensorflow-u-net-dice-0-46", "kernel_id": "63078927"}, {"ref": "mykoladzhun/eda-of-the-dataset", "kernel_id": "63062953"}, {"ref": "parishrishah/ship-detection", "kernel_id": "64871350"}, {"ref": "kumarideepanshi/satellite-ship-detection-using-deep-learning", "kernel_id": "65512388"}, {"ref": "guchenjun/ocean-unet", "kernel_id": "70065690"}, {"ref": "alonamoiseyenko/ship-detection", "kernel_id": "72272617"}, {"ref": "mxmbgl/airbus-ship-detection-pytorch-unet34", "kernel_id": "76433998"}, {"ref": "nguyenquangthinhus/airbus-ship-detection-ensemble-fail", "kernel_id": "77217025"}, {"ref": "gajjalavishnu/ship-detection-from-satellite-imagery", "kernel_id": "77923117"}, {"ref": "priyansh2904/notebook2d684dad0e", "kernel_id": "78453972"}, {"ref": "mohamedmohiey/segmentation-datasetusage", "kernel_id": "79500130"}, {"ref": "mistaluai/classificationstage-datasetusage", "kernel_id": "79241273"}, {"ref": "mistaluai/classificationstagetraining", "kernel_id": "79283850"}, {"ref": "jimmylikpg/airbus-ship-detection-challenge", "kernel_id": "79202049"}, {"ref": "vitnguyns/fpn34", "kernel_id": "80572946"}, {"ref": "sarfealam/ship-detection", "kernel_id": "89624276"}, {"ref": "annguynkhc/getdataaugmentationship", "kernel_id": "91163027"}, {"ref": "mrearthworm/optical-to-sar-cda-gan-eda-ipynb", "kernel_id": "92188801"}, {"ref": "duyshiro/r3det", "kernel_id": "103813001"}, {"ref": "ouga17/deeplabv3-tree-model", "kernel_id": "104595876"}, {"ref": "salbeal94/yolo-playground-ship-segmentation", "kernel_id": "105216007"}, {"ref": "gabriel1122/airbus-ship-detection", "kernel_id": "106734171"}, {"ref": "tejaschauhan05/satellite-image-based-object-detection", "kernel_id": "107134303"}, {"ref": "nooneitsadik01/notebookfd496b513f", "kernel_id": "108247841"}, {"ref": "mihikamaheshwari03/baseline-u-net-on-pytorch", "kernel_id": "108892650"}, {"ref": "mxyqdh/baseline-u-net-model-part-1", "kernel_id": "109788630"}, {"ref": "mdabdulalhasib/image-segmentation-analysis-airbus-ship-challeng", "kernel_id": "113583545"}, {"ref": "nguyenduchuhu/ships-yolo", "kernel_id": "114200066"}, {"ref": "ilkinsoyda/autonomous-maritime-target-segmentation-from-satel", "kernel_id": "129900162"}, {"ref": "bhanusathvik/notebook56a6755110", "kernel_id": "135009072"}]}
{"competition_id": "9992", "kernels": [{"ref": "hulkbulk/simple-siamese-neural-network-0-587lb", "kernel_id": "3980611"}, {"ref": "forhadsidhu/sample-solution-kinship", "kernel_id": "3912391"}, {"ref": "gowrishankarin/eda-with-plotly-smart-cute-and-pretty-people", "kernel_id": "3895556"}, {"ref": "spsayakpaul/data-exploration-recognising-faces-in-the-wild", "kernel_id": "3895682"}, {"ref": "a45632/iface-basic-eda-v1", "kernel_id": "3899236"}, {"ref": "ggopalan/compare-faces-side-by-side", "kernel_id": "3911312"}, {"ref": "chankeypathak/data-exploration", "kernel_id": "3901398"}, {"ref": "lpicanco/recognizing-faces-in-the-wild-eda", "kernel_id": "3897219"}, {"ref": "hengzheng/simple-autoencoder-keras-and-kmean-cluster", "kernel_id": "3906518"}, {"ref": "keltingrimes/feature-generation-and-analysis", "kernel_id": "3966082"}, {"ref": "sanikamal/recognizing-faces-quick-eda-vggface", "kernel_id": "3907286"}, {"ref": "simonjonespu/facial-landmark-detection-and-triplet-loss", "kernel_id": "3900890"}, {"ref": "thanatoz/one-shot-method-to-tackle-kinship-problem-keras", "kernel_id": "3905750"}, {"ref": "iavinas/image-loading-and-exploring", "kernel_id": "3908744"}, {"ref": "atrisaxena/facenet-baseline-in-keras", "kernel_id": "3921236"}, {"ref": "suicaokhoailang/facenet-baseline-in-keras-0-749-lb", "kernel_id": "3908098"}, {"ref": "kmezhoud/simple-mxnet-tentative-smile-parental-classifi", "kernel_id": "3932683"}, {"ref": "hominlee/show-image", "kernel_id": "3895738"}, {"ref": "deepak525/opencv-show-image", "kernel_id": "3899357"}, {"ref": "nikhileshp12/data-preprocessing-and-image-plots", "kernel_id": "3925242"}, {"ref": "nikhileshp12/functions-to-display-images", "kernel_id": "3992827"}, {"ref": "caseyworks/open-kimono-kinship-notebook-0-792lb", "kernel_id": "3901211"}, {"ref": "khiwila/kernel992c53437e", "kernel_id": "3974276"}, {"ref": "justlookinxd/starter-code", "kernel_id": "3895847"}, {"ref": "vivaroma/just-give-me-a-score-random-labels", "kernel_id": "3901115"}, {"ref": "cedarren/asymmetric-relationships", "kernel_id": "3954451"}, {"ref": "ranjitkumar1/kin-detection", "kernel_id": "4836150"}, {"ref": "ranjitkumar1/recognizing-face-with-one-shot-learning", "kernel_id": "4924207"}, {"ref": "janpreets/just-another-feature-extractor-0-824-lb", "kernel_id": "4152966"}, {"ref": "yesteapea/setting-program-params-based-on-environment", "kernel_id": "4724678"}, {"ref": "hsinwenchang/vggface-baseline-197x197", "kernel_id": "4216092"}, {"ref": "cedna198/northeastern-smile-lab-recognizing-faces", "kernel_id": "4903234"}, {"ref": "ateplyuk/vggface-baseline-in-keras", "kernel_id": "4199520"}, {"ref": "thanatoz/lets-generate-more-faces-iii-gan", "kernel_id": "4304555"}, {"ref": "thanatoz/lets-generate-more-faces-gan", "kernel_id": "4069410"}, {"ref": "adityajn105/getting-started-with-vggface-0-787-lb", "kernel_id": "4060666"}, {"ref": "tenffe/fastai-baseline", "kernel_id": "4351231"}, {"ref": "tenffe/vggface-cv-focal-loss", "kernel_id": "4614576"}, {"ref": "tenffe/blending-models-for-smile", "kernel_id": "4809341"}, {"ref": "shubhendumishra/recognizing-faces-in-the-wild-vggface-pytorch", "kernel_id": "4895255"}, {"ref": "nikhil1011/blood-relationship", "kernel_id": "4520683"}, {"ref": "nikhil1011/similar-blood-relationship-challenge", "kernel_id": "4713401"}, {"ref": "kmezhoud/a-gentle-guide-of-r-keras-vision", "kernel_id": "4036019"}, {"ref": "thalos12/celacofaremo", "kernel_id": "4553707"}, {"ref": "arjunrao2000/kinship-detection-with-vgg16", "kernel_id": "4295667"}, {"ref": "hedibendaoud/keras-vgg-face-recognizer", "kernel_id": "4174109"}, {"ref": "ss1404/vggface-parameter-tuning-0-868", "kernel_id": "4523200"}, {"ref": "bachrr/smile-rfw-eda", "kernel_id": "4025581"}, {"ref": "flpvvvv/eda-cv-facenet-fe-lr", "kernel_id": "4577053"}, {"ref": "shivamsarawagi/wildimagedetection-0-875", "kernel_id": "4310979"}, {"ref": "underscrew/new-pre", "kernel_id": "4103742"}, {"ref": "imthiyagarajan/nature-cares", "kernel_id": "4023799"}, {"ref": "vaishvik25/smile", "kernel_id": "4949830"}, {"ref": "vaishvik25/blend-of-smiles", "kernel_id": "4800449"}, {"ref": "heet2201/kinship-relationship-using-vggface", "kernel_id": "4109379"}, {"ref": "supportvectordevin/liangde-model", "kernel_id": "4559652"}, {"ref": "castep/vggface", "kernel_id": "4377687"}, {"ref": "jiangstein/a-very-simple-siamese-network-in-pytorch", "kernel_id": "4151725"}, {"ref": "gokulanss/kernelgoku", "kernel_id": "4247694"}, {"ref": "gokulanss/kernelsimplesiamese", "kernel_id": "4259973"}, {"ref": "serengil/finding-relative-faces", "kernel_id": "5168791"}, {"ref": "nirupamait/kernel6bccf46b6e", "kernel_id": "5001568"}, {"ref": "shubhendumishra/modified-siamese-network-pytorch", "kernel_id": "5040596"}, {"ref": "mattemilio/smile-best-who-smile-last", "kernel_id": "5247106"}, {"ref": "honglou/kernel206a6bfb34", "kernel_id": "5812534"}, {"ref": "milinhu/vggface-model", "kernel_id": "5182474"}, {"ref": "pr1c3f1eld/keras-pretrained-vggface-few-trainable-layers", "kernel_id": "5652087"}, {"ref": "teguhbds/teguhfacenetkeras", "kernel_id": "5505420"}, {"ref": "nguyenhohuunghia/facenet-baseline-in-keras", "kernel_id": "7489456"}, {"ref": "yaelfriedler/morad-and-yael", "kernel_id": "8318635"}, {"ref": "serengil/deepface-framework-for-python", "kernel_id": "9263081"}, {"ref": "sumitwest6597/kernel52b9933028", "kernel_id": "9431290"}, {"ref": "ham1domar/siamese-network-for-kinship-recognition", "kernel_id": "16522037"}, {"ref": "quephuong/iu-sdd-demo", "kernel_id": "16875993"}, {"ref": "o716account/vggface-cv-focal-loss", "kernel_id": "17335027"}, {"ref": "salpalgal/capstone-code", "kernel_id": "17380804"}, {"ref": "anki08/ai-project", "kernel_id": "21671573"}, {"ref": "allanyiin/families-in-the-wild", "kernel_id": "21001893"}, {"ref": "satqas/deepface-framework-for-python", "kernel_id": "21465795"}, {"ref": "anki08/modified-siamese-network-pytorch", "kernel_id": "22416606"}, {"ref": "natashakulkarni27/vggface-baseline-197x197", "kernel_id": "22480317"}, {"ref": "ankiuci/modified-siamese-network-pytorch", "kernel_id": "22423173"}, {"ref": "widhiwinata/eda-cv-facenet-fe-lr", "kernel_id": "23895356"}, {"ref": "widhiwinata/modified-siamese-network-pytorch", "kernel_id": "23636028"}, {"ref": "araspirbadian/relative-detector-using-siamese-network", "kernel_id": "24526633"}, {"ref": "tanishaasukhija/101917206-tanishaa", "kernel_id": "25410865"}, {"ref": "amishagoel555/101916084-amisha", "kernel_id": "25411414"}, {"ref": "huafengmai222/smile-best-who-smile-last", "kernel_id": "26675236"}, {"ref": "dlgur0322/siamese-network-family-relationship", "kernel_id": "29930334"}, {"ref": "fengxxu/face-recog", "kernel_id": "30909868"}, {"ref": "josephinehemingway/vggface-cv-focal-loss", "kernel_id": "32427011"}, {"ref": "abdulqaddos868/a-very-simple-siamese-network-in-pytorch", "kernel_id": "32050418"}, {"ref": "thesistime/dual-block-model", "kernel_id": "32787464"}, {"ref": "imrantaurus2003/dual-block-model", "kernel_id": "35034155"}, {"ref": "parasmahour/renset50-final", "kernel_id": "48907539"}, {"ref": "sarath02003/face-recognition-using-vggface2", "kernel_id": "58300460"}, {"ref": "chanhainguyen/facenet-baseline-in-keras", "kernel_id": "60489717"}, {"ref": "ralphwittmann/dl-project", "kernel_id": "64153099"}, {"ref": "kc2001/intro-to-model-comparison-for-facial-similarities", "kernel_id": "66708997"}, {"ref": "lucianlazarescu/recognize-faces-wild", "kernel_id": "66301736"}, {"ref": "omuparkar/testing-the-notebook", "kernel_id": "67038215"}, {"ref": "anandkri/proj-recognizing-faces-anandkri", "kernel_id": "67359395"}, {"ref": "lucianlazarescu/siamese-transfer-learning", "kernel_id": "68524789"}, {"ref": "shivanikushwaha/smile-py", "kernel_id": "70648960"}, {"ref": "kadirsentosun/proj-recognizing-faces-ks", "kernel_id": "70606708"}, {"ref": "dem0nsl4yer/dl-smile-project", "kernel_id": "70811413"}, {"ref": "szymonszczepiski/face-recognition", "kernel_id": "70473566"}]}
{"competition_id": "9993", "kernels": [{"ref": "dataraj/eda-to-insight", "kernel_id": "6344289"}, {"ref": "theshockwaverider/eda-visualization-baseline", "kernel_id": "6391599"}, {"ref": "its7171/metrics-evaluation-script", "kernel_id": "6641615"}, {"ref": "robikscube/autonomous-driving-introduction-data-review", "kernel_id": "6342498"}, {"ref": "hypocrites/simple-eda-with-imageai-object-detection", "kernel_id": "6700244"}, {"ref": "seshadrikolluri/vehicle-angle-prediction-understanding-eda", "kernel_id": "6346175"}, {"ref": "qinhui1999/centernet-baseline-with-map-valid-score", "kernel_id": "6661184"}, {"ref": "ebouteillon/load-a-3d-car-model", "kernel_id": "6360828"}, {"ref": "ebouteillon/augmented-reality", "kernel_id": "6410133"}, {"ref": "ebouteillon/eda-find-similar-images-in-datasets", "kernel_id": "6463136"}, {"ref": "hocop1/centernet-baseline", "kernel_id": "6389363"}, {"ref": "hocop1/pku-cars-clustering", "kernel_id": "6661639"}, {"ref": "phunghieu/a-quick-simple-eda", "kernel_id": "6344065"}, {"ref": "mobassir/center-resnext50-baseline", "kernel_id": "6738886"}, {"ref": "mobassir/baidu-autonomous-driving-eda", "kernel_id": "6652658"}, {"ref": "fengyanli/load-a-3d-car-model", "kernel_id": "6371616"}, {"ref": "alvaroibrain/car-pose-estimation", "kernel_id": "6926730"}, {"ref": "js9268/a-simple-eda", "kernel_id": "6401155"}, {"ref": "a1850961785/data-exploration", "kernel_id": "6903856"}, {"ref": "phoenix9032/center-resnet-starter", "kernel_id": "6697999"}, {"ref": "subinium/3d-interactive-car-with-plotly", "kernel_id": "6366883"}, {"ref": "bradleetw2019/simple-eda", "kernel_id": "6344428"}, {"ref": "sumitai/eda-peking-baidu-autonomous-driving", "kernel_id": "6455384"}, {"ref": "manohar676/autonomous-driving-introduction-data-review", "kernel_id": "6420092"}, {"ref": "evezzoli/simple-eda-nb-car-find", "kernel_id": "6783494"}, {"ref": "khaledmgamal/pku-competition-centernet-u-net", "kernel_id": "6762556"}, {"ref": "amit9484/save-images-with-mask", "kernel_id": "6829749"}, {"ref": "kyoshioka47/centernet-baseline-lb-0-090", "kernel_id": "6620926"}, {"ref": "greatgamedota/cv-util-functions", "kernel_id": "6480716"}, {"ref": "zstusnoopy/visualize-the-location-and-3d-bounding-box-of-car", "kernel_id": "6349870"}, {"ref": "lbb1997/fnd-img", "kernel_id": "6745603"}, {"ref": "diegojohnson/centernet-objects-as-points", "kernel_id": "6891109"}, {"ref": "diegojohnson/representing-rotation-with-rotation-vector", "kernel_id": "6925437"}, {"ref": "diegojohnson/efficientdet-d1", "kernel_id": "6942519"}, {"ref": "zheminggu/load-pickle-models", "kernel_id": "6393877"}, {"ref": "nannanco/centernet-baseline-hyperparameters-check", "kernel_id": "6941602"}, {"ref": "niuddd/image-augmentations-for-pku-self-driving-car", "kernel_id": "7066475"}, {"ref": "bask170182/bhaskar-cnb", "kernel_id": "7209746"}, {"ref": "ren4yu/show-cars-with-similar-orientations-and-clustering", "kernel_id": "7656031"}, {"ref": "isakev/rb-s-centernet-baseline-pytorch-without-dropout", "kernel_id": "7134235"}, {"ref": "outrunner/rotation-augmentation", "kernel_id": "7755912"}, {"ref": "outrunner/autonomous-driving-1st-place-solution-inference", "kernel_id": "7552081"}, {"ref": "bvictor/pku-data-ground-truth-geometry-analysis", "kernel_id": "7079451"}, {"ref": "imrandude/train-with-fastai2-centernet-xresnet50", "kernel_id": "7166385"}, {"ref": "khoongweihao/autonomous-driving-epoch-on-fire-resnext50", "kernel_id": "7264830"}, {"ref": "jaideepvalani/approach-for-0-065", "kernel_id": "7577386"}, {"ref": "alvaroibrain/predicting-world-position-using-2d-features", "kernel_id": "7417054"}, {"ref": "alvaroibrain/car-yaw-prediction-from-images-baseline", "kernel_id": "7479492"}, {"ref": "alvaroibrain/car-position-estimation-full-pipeline", "kernel_id": "7492086"}, {"ref": "gebbissimo/correct-horizontal-flipping-during-augmentation", "kernel_id": "7542763"}, {"ref": "iiyamaiiyama/find-crop-flip-images", "kernel_id": "7657535"}, {"ref": "yangyang95/kernel6ca2dab921", "kernel_id": "7277234"}, {"ref": "swathym/pku-autonomous-driving-eda-and-visualisation", "kernel_id": "7066316"}, {"ref": "ryunosukeishizaki/instance-segmentation-pipeline", "kernel_id": "7413559"}, {"ref": "szuzhangzhi/generate-better-prior-mask-dataset", "kernel_id": "7573642"}, {"ref": "evezzoli/centernet-with-map-evaluation", "kernel_id": "7235365"}, {"ref": "diegojohnson/a-clear-view-of-car-pose", "kernel_id": "7234463"}, {"ref": "diegojohnson/regress-angle-in-two-bins-centernet-way", "kernel_id": "7014867"}, {"ref": "nxrprime/inception-resnet-v2-baseline", "kernel_id": "7545353"}, {"ref": "mark1993/3d-interactive-car-with-plotly-65996a", "kernel_id": "10785712"}, {"ref": "salonisethiya/centernet-baseline", "kernel_id": "11913881"}, {"ref": "umeshpandey12195/centernet-baseline", "kernel_id": "12185144"}, {"ref": "salonisethiya/fork-of-autonomous-driving-practice", "kernel_id": "12113379"}, {"ref": "muhammadumairbaig/centernet-baseline", "kernel_id": "15179924"}, {"ref": "dungalex/center-resnext50-baseline", "kernel_id": "16936183"}, {"ref": "namekoying/failure-centernet", "kernel_id": "16943030"}, {"ref": "tenghui1222/fork-of-autonomous-driving", "kernel_id": "17256602"}, {"ref": "tenghui1222/lab3-project", "kernel_id": "17409322"}, {"ref": "tenghui1222/autonomous-driving", "kernel_id": "17112707"}, {"ref": "joey0201/centernet-baseline-with-map-valid-score", "kernel_id": "17306075"}, {"ref": "tvnhiemhcmus/lab3-project", "kernel_id": "17221880"}, {"ref": "marshallia/fuzzy-team", "kernel_id": "17389630"}, {"ref": "jpwalter/team-57-final-project", "kernel_id": "21412048"}, {"ref": "turaneminli/notebook0b1fb30476", "kernel_id": "22898561"}, {"ref": "lethereal/autonomous-driving-1st-place-solution-inference", "kernel_id": "26590741"}, {"ref": "hazemahmedmurshedi/car-pose-estimation", "kernel_id": "30098699"}, {"ref": "pstsaiganesh/self-driving-car", "kernel_id": "31901026"}, {"ref": "pstsaiganesh/autonomous-driving-1st-place-solution-inference", "kernel_id": "31950583"}, {"ref": "sivaniselvaraj/centernet", "kernel_id": "32131297"}, {"ref": "ummarakhan/v2v-driving-resources", "kernel_id": "36464984"}, {"ref": "ummarakhan/v2v-autonomous-driving", "kernel_id": "36464839"}, {"ref": "zixthw/autonomous-driving-1st-place-solution-inference", "kernel_id": "48119271"}, {"ref": "ahmedyoussefff/3d-bounding-box-and-augmented-reality", "kernel_id": "66022323"}, {"ref": "reevabajaj/autonomous-driving-introduction-data-review", "kernel_id": "76092644"}, {"ref": "eli14473/autonomous-driving-introduction-data-review", "kernel_id": "80469261"}, {"ref": "ruhul20/centernet-baseline-3d-detection-transfer-learning", "kernel_id": "105042529"}]}
{"competition_id": "9994", "kernels": [{"ref": "konradb/trim-leading-zeroes", "kernel_id": "6581764"}, {"ref": "aleksthegreat/public-blend", "kernel_id": "6800391"}, {"ref": "angrynerd/predictenergy-lm-pp-2019-11-27", "kernel_id": "6796344"}, {"ref": "sudalairajkumar/simple-exploration-notebook-ashrae", "kernel_id": "6239656"}, {"ref": "kailex/ac-dc", "kernel_id": "6506231"}, {"ref": "danofer/minimal-export-ashrae-v1", "kernel_id": "6351299"}, {"ref": "rohanrao/ashrae-half-and-half", "kernel_id": "6518899"}, {"ref": "rohanrao/ashrae-prophet-s-prophecy", "kernel_id": "6762680"}, {"ref": "rohanrao/ashrae-divide-and-conquer", "kernel_id": "6553388"}, {"ref": "pradeep13/for-r-users-read-load-efficiently-save-time", "kernel_id": "6246418"}, {"ref": "amaity0/ashrae3-first-try", "kernel_id": "6314587"}, {"ref": "amaity0/ashrae-fifth-try", "kernel_id": "6944373"}, {"ref": "bguberfain/rolling-window", "kernel_id": "6278339"}, {"ref": "luisfer/mia-ashrae", "kernel_id": "6385382"}, {"ref": "scirpus/ashrae-extra-gp-features", "kernel_id": "6428394"}, {"ref": "labdmitriy/filling-time-gaps-visualize-with-marked-gaps", "kernel_id": "6378436"}, {"ref": "kenmatsu4/simple-target-covariate-time-series-plot", "kernel_id": "6248624"}, {"ref": "mmotoki/ashrae-site-0-corrected-half-and-half", "kernel_id": "6955342"}, {"ref": "yukari17/simple-prediction-do-not-use-model-lb-1-35", "kernel_id": "6250461"}, {"ref": "yukari17/simple-prediction-do-not-use-model-v2", "kernel_id": "6254291"}, {"ref": "uberkinder/elegant-benchmark", "kernel_id": "6384467"}, {"ref": "jtrotman/ashrae-heatmaps", "kernel_id": "6422807"}, {"ref": "saipkb86/ashrae-prediction-rf-quick-baseline-1-47", "kernel_id": "6890381"}, {"ref": "tunguz/ashrae-histgradientboosting", "kernel_id": "6934405"}, {"ref": "tunguz/adversarial-ashrae", "kernel_id": "6247781"}, {"ref": "tunguz/simple-linear-regression-benchmark", "kernel_id": "6235197"}, {"ref": "wittmannf/keras-embedding-read-k-folds", "kernel_id": "6979405"}, {"ref": "wittmannf/feature-engineering-load-profile-no-ml", "kernel_id": "6699531"}, {"ref": "amitkishore/feature-engineering-lgb", "kernel_id": "6458577"}, {"ref": "hmendonca/clean-weather-data-eda", "kernel_id": "6374288"}, {"ref": "hmendonca/shapley-values-for-feature-selection-ashrae", "kernel_id": "6331833"}, {"ref": "hmendonca/4-ashrae-blended", "kernel_id": "6532599"}, {"ref": "hmendonca/starter-eda-and-feature-selection-ashrae3", "kernel_id": "6251114"}, {"ref": "aerdem4/ashrae-lofo-feature-importance", "kernel_id": "6234269"}, {"ref": "yasarc4/baseline-solution-without-model-1-44-publiclb", "kernel_id": "6846946"}, {"ref": "vabatista/ashrae-time-series-eda", "kernel_id": "6252220"}, {"ref": "abhishek4u/experimentation-eda", "kernel_id": "6297746"}, {"ref": "corochann/ashrae-interactive-data-visualization-with-plotly", "kernel_id": "6286964"}, {"ref": "corochann/ashrae-feather-format-for-fast-loading", "kernel_id": "6284850"}, {"ref": "corochann/optuna-tutorial-for-hyperparameter-optimization", "kernel_id": "6410281"}, {"ref": "corochann/ashrae-training-lgbm-by-meter-type", "kernel_id": "6236424"}, {"ref": "corochann/ashrae-deep-exploratory-data-analysis", "kernel_id": "6246516"}, {"ref": "hiteshsom/ashrae-3-lightgbm", "kernel_id": "6307086"}, {"ref": "georsara1/starter-great-energy-predictor", "kernel_id": "6260723"}, {"ref": "enzoamp/ashrae-fastai-colab", "kernel_id": "6656047"}, {"ref": "enzoamp/ashrae-eda-fe-fastai-3-fold", "kernel_id": "6477980"}, {"ref": "sreelathar/ashrae-meter-reading-prediction", "kernel_id": "6622538"}, {"ref": "jypucca/ashrae-energy-eda-dask", "kernel_id": "6767747"}, {"ref": "amitagni/ashrae-building-data-explore", "kernel_id": "6569305"}, {"ref": "bhavesh09/energy-predictor-starter", "kernel_id": "6261443"}, {"ref": "robikscube/ashrae-energy-consumption-starter-kit-eda", "kernel_id": "6234867"}, {"ref": "juanmah/ashrae-degree-hours", "kernel_id": "6605033"}, {"ref": "juanmah/plantuml-concept-test", "kernel_id": "6558142"}, {"ref": "juanmah/ashrae-outliers", "kernel_id": "6299458"}, {"ref": "juanmah/ashrae-nans-gaps", "kernel_id": "6299484"}, {"ref": "juanmah/ashrae-zeros", "kernel_id": "6299486"}, {"ref": "juanmah/ashrae-utils", "kernel_id": "6299946"}, {"ref": "juanmah/ashrae-energy-vs-temperature", "kernel_id": "6433078"}, {"ref": "juanmah/ashrae-update-numpy-script", "kernel_id": "6410942"}, {"ref": "juanmah/ashrae-update-numpy-notebook", "kernel_id": "6411067"}, {"ref": "juanmah/ashrae-data-wrangling-csv-to-pickle", "kernel_id": "6416624"}, {"ref": "juanmah/ashrae-interactive-building-energy-browser", "kernel_id": "6466505"}, {"ref": "juanmah/ashrae-png-graphs-for-buildings-0-482", "kernel_id": "6478902"}, {"ref": "juanmah/ashrae-png-graphs-for-buildings-483-965", "kernel_id": "6479031"}, {"ref": "juanmah/ashrae-png-graphs-for-buildings-966-1448", "kernel_id": "6479032"}, {"ref": "remisharoon/ashrae-gep-iii-rms-nb", "kernel_id": "6369000"}, {"ref": "morituri/lgbm-baseline", "kernel_id": "6766820"}, {"ref": "malina015/ashrae-first-look", "kernel_id": "6236233"}, {"ref": "dhakshiin1601/fastai-v2-starter-code", "kernel_id": "6374610"}, {"ref": "barun2104/ashrae-simple-eda", "kernel_id": "6254173"}, {"ref": "mpware/ucf-data-limited-leakage", "kernel_id": "6577171"}, {"ref": "mpware/ucl-data-leakage-episode-2", "kernel_id": "6656887"}, {"ref": "anjanatiha/ashrae-great-energy-predictor-iii-eda", "kernel_id": "6251888"}, {"ref": "frednavruzov/aligning-temperature-timestamp", "kernel_id": "6407688"}, {"ref": "frednavruzov/nan-restoration-techniques-for-weather-data", "kernel_id": "6378995"}, {"ref": "frednavruzov/faster-stratified-cross-validation-v2", "kernel_id": "6391606"}, {"ref": "haataa/deep-eda-with-time-series-knowledge-and-model", "kernel_id": "6307185"}, {"ref": "floooo/quick-eda-for-ashrae-great-energy-predictor-iii", "kernel_id": "6235820"}, {"ref": "isaienkov/lightgbm-fe-1-19", "kernel_id": "6233856"}, {"ref": "isaienkov/keras-nn-with-embeddings-for-cat-features-1-15", "kernel_id": "6276237"}, {"ref": "isaienkov/splitting-into-4-lgbm-models-based-on-meter-column", "kernel_id": "6325898"}, {"ref": "datadugong/locate-better-cities-by-weather-temp-fill-nans", "kernel_id": "6471109"}, {"ref": "rishabhiitbhu/ashrae-simple-eda", "kernel_id": "6234372"}, {"ref": "rikhard/how-big-is-your-model-error", "kernel_id": "6392754"}, {"ref": "narasimhach/ashrae-data-preprocessing", "kernel_id": "6376239"}, {"ref": "mayer79/ashrae-lgb-starter-for-r", "kernel_id": "6250921"}, {"ref": "arizonapampa/ashrae-exploratory-data-analysis", "kernel_id": "6493053"}, {"ref": "nicapotato/ashrae-weather-analysis-with-openair", "kernel_id": "6861846"}, {"ref": "kumezawa/ashrae-simple-chainer-nn-starter-codes", "kernel_id": "6320788"}, {"ref": "snthibaud/energy-usage-prediction", "kernel_id": "6300802"}, {"ref": "sarveshmalagi/ashrae-basic-eda", "kernel_id": "6258475"}, {"ref": "sheriytm/simple-xgboost-regressor-model", "kernel_id": "6687149"}, {"ref": "plarmuseau/ashrae-linear-regressions", "kernel_id": "6289704"}, {"ref": "ricvolpe/ashrae-01-eda", "kernel_id": "6245920"}, {"ref": "authman/copycat-ken", "kernel_id": "6239800"}, {"ref": "chmaxx/ashrae-eda-and-visualization-wip", "kernel_id": "6244584"}, {"ref": "alexzy/building-metadata-primary-use-to-one-hot-vector", "kernel_id": "6544472"}, {"ref": "kimtaegwan/what-s-your-cv-method", "kernel_id": "6239562"}, {"ref": "snovik1975/even-faster-stratified-cross-validation", "kernel_id": "6597834"}, {"ref": "jeeperscreepers/ashrae-gep-iii-feature-engineering-try-1", "kernel_id": "6803544"}, {"ref": "apjansing/ashrae-linear-regression-with-interpolated-na-s", "kernel_id": "6660923"}, {"ref": "ryches/simple-lgbm-solution", "kernel_id": "6238171"}, {"ref": "dcaichara/simple-eda", "kernel_id": "6237940"}, {"ref": "jaseziv83/a-deep-dive-eda-into-all-variables", "kernel_id": "6240148"}, {"ref": "grapestone5321/ashrae-stacking-method", "kernel_id": "6538421"}, {"ref": "grapestone5321/ashrae-sample-submission-and-data-leakage-exercise", "kernel_id": "6240477"}, {"ref": "serengil/ucb-data-leakage-site-4-81-buildings", "kernel_id": "6699277"}, {"ref": "thoffma/cdso-exploration", "kernel_id": "6283759"}, {"ref": "simha1214/categorical-neural-network-at-meter-level", "kernel_id": "6335269"}, {"ref": "ndrberna/ashrae-exploratory-data-analysis-visualization", "kernel_id": "6333657"}, {"ref": "jiaofenx/ashrae-data-minification", "kernel_id": "6411698"}, {"ref": "jiaofenx/ashrae-great-energy-predictor-iii", "kernel_id": "6346841"}, {"ref": "rahullalu/ashrae-eda-and-104-models", "kernel_id": "6273605"}, {"ref": "hukuda222/basic-preprocessing-simple-lightgbm-model", "kernel_id": "6238013"}, {"ref": "rhodiumbeng/eda-ashrae-energy", "kernel_id": "6238503"}, {"ref": "rhodiumbeng/ashrae-energy-simple-average", "kernel_id": "6253360"}, {"ref": "barnrang/ashrae-leak-validation-gradient-descent-search", "kernel_id": "6836857"}, {"ref": "rajeshcv/exploring-buildings-weather-and-time-series-data", "kernel_id": "6239960"}, {"ref": "kevinling0218/ashrae-eda", "kernel_id": "6290974"}, {"ref": "antoniogcorreia/ashrae-data-exploration", "kernel_id": "6359934"}, {"ref": "ragnar123/exploratory-data-analysis-and-baseline-lgbm", "kernel_id": "6277350"}, {"ref": "ragnar123/another-1-08-lb-no-leak", "kernel_id": "6853462"}, {"ref": "xkagjaeo05/comparing-minification-methods", "kernel_id": "6392321"}, {"ref": "returnofsputnik/corey-s-eda", "kernel_id": "6235933"}, {"ref": "sklasfeld/baseline-time-series-predictions", "kernel_id": "6628945"}, {"ref": "sklasfeld/single-variate-time-series-preditions-v1", "kernel_id": "6640447"}, {"ref": "thedocs/fill-weather-missing-with-lightgbm", "kernel_id": "6667080"}, {"ref": "ihelon/eda-ashrae-simple", "kernel_id": "6414812"}, {"ref": "ihelon/simple-xgboost", "kernel_id": "6244543"}, {"ref": "viswajithkn/great-energy-prediction", "kernel_id": "6291204"}, {"ref": "aadilsrivastava01/ashrae-intial-eda", "kernel_id": "6481600"}, {"ref": "stanislavdev/randomforest-dyst", "kernel_id": "6978655"}, {"ref": "patelatharva/prediction", "kernel_id": "6468270"}, {"ref": "patelatharva/training", "kernel_id": "6463768"}, {"ref": "mgiraygokirmak/energy-experiment", "kernel_id": "6631846"}, {"ref": "srbestha/ashare-light-gbm", "kernel_id": "6475734"}, {"ref": "yamsam/ashrae-highway-kernel-route2", "kernel_id": "6695114"}, {"ref": "yamsam/ashrae-highway-kernel-route1", "kernel_id": "6667612"}, {"ref": "yamsam/ashrae-leak-data-station", "kernel_id": "6696327"}, {"ref": "yamsam/ashrae-leak-validation-and-more", "kernel_id": "6741675"}, {"ref": "yamsam/ashrae-highway-kernel-route4", "kernel_id": "6735660"}, {"ref": "yamsam/new-ucf-starter-kernel", "kernel_id": "6596070"}, {"ref": "yamsam/meter-split-sg", "kernel_id": "6849608"}, {"ref": "yamsam/kfold-lightgbm-sg", "kernel_id": "6862349"}, {"ref": "gouherdanishiitkgp/ashrae-basic-eda-and-feature-engineering", "kernel_id": "6472099"}, {"ref": "himanshujoshi13/ashrae-eda-1", "kernel_id": "6510542"}, {"ref": "hhnigdeli/eda-ashrae-hasan", "kernel_id": "6278281"}, {"ref": "jsaguiar/ashrae-data-analysis", "kernel_id": "6249779"}, {"ref": "danmusetoiu/ashrae-blended-noleaks", "kernel_id": "6762836"}, {"ref": "tinkywuzhao/ashrae-the-first-step-eda-with-python", "kernel_id": "6603639"}, {"ref": "sergioli212/ashrae-processing", "kernel_id": "6548948"}, {"ref": "bsnithin44/exploring-ashrae-with-plotly-express", "kernel_id": "6302480"}, {"ref": "alonalon/many2many-lstm-using-pytorch", "kernel_id": "6655362"}, {"ref": "mlisovyi/no-ml-benchmark", "kernel_id": "6250757"}, {"ref": "vladlee/ashrae-energy-simple-baseline-v2", "kernel_id": "6779365"}, {"ref": "hamditarek/reducing-memory-size-for-great-energy-predictor", "kernel_id": "6238575"}, {"ref": "statefb/eda-time-series-plot-for-all-buildings", "kernel_id": "6252815"}, {"ref": "basu369victor/need-for-energy-eda-lightgbm-prediction", "kernel_id": "6394585"}, {"ref": "vladimirsydor/leakaggregator", "kernel_id": "6837148"}, {"ref": "vladimirsydor/bland-lgbm-on-leaks", "kernel_id": "6920644"}, {"ref": "vladimirsydor/bland-lgbm-folds", "kernel_id": "6920455"}, {"ref": "vladimirsydor/lgbm-fold-1", "kernel_id": "6914776"}, {"ref": "vladimirsydor/lgbm-on-leaks-fold-1", "kernel_id": "6915416"}, {"ref": "vladimirsydor/baseline-preprocessing", "kernel_id": "6914563"}, {"ref": "vladimirsydor/add-leak", "kernel_id": "6925071"}, {"ref": "vladimirsydor/bland-by-leak", "kernel_id": "6944220"}, {"ref": "vladimirsydor/naivemeanpredictor", "kernel_id": "6745526"}, {"ref": "vladimirsydor/randomforestbaseline", "kernel_id": "6751273"}, {"ref": "nroman/eda-for-ashrae", "kernel_id": "6244913"}, {"ref": "nroman/bayesian-optimization-for-lgbm-hyperparameters", "kernel_id": "6259894"}, {"ref": "mold52/new-ucf-starter-kernel", "kernel_id": "6659998"}, {"ref": "ganfear/missing-data-and-zeros-visualized", "kernel_id": "6264047"}, {"ref": "khoongweihao/ashrae-leak-validation-bruteforce-heuristic-search", "kernel_id": "6778909"}, {"ref": "khoongweihao/leak-validation-constrained-heuristic-search-i", "kernel_id": "6850466"}, {"ref": "nikhilkasturi/basic-eda", "kernel_id": "6252665"}, {"ref": "khairulislam/great-energy-predictor-intro-with-lightgbm", "kernel_id": "6249697"}, {"ref": "sumit29/ashrae-eda-with-plots", "kernel_id": "6497072"}, {"ref": "muhakabartay/update-on-simple-lightgbm-lb-1-17", "kernel_id": "6480915"}, {"ref": "vbmokin/ashrae-automatic-fe-featuretools-selection-fe", "kernel_id": "6435334"}, {"ref": "vbmokin/very-significant-safe-memory-lightgbm", "kernel_id": "6420986"}, {"ref": "vbmokin/ashrae-automatic-fe-fs", "kernel_id": "6461083"}, {"ref": "nussabav/pretrained-lgbm-by-meter-type-and-site-id", "kernel_id": "6419939"}, {"ref": "sundayprogrammer/ashrae-simple-preprocessing-lstm", "kernel_id": "6234338"}, {"ref": "poedator/submission-visualization-comparison", "kernel_id": "6543127"}, {"ref": "teeyee314/how-low-can-we-go", "kernel_id": "6346627"}, {"ref": "teeyee314/best-single-lgbm-lb-1-08-morning-evening", "kernel_id": "6772661"}, {"ref": "teeyee314/ucf-counterfactual-prediction-analysis", "kernel_id": "6587274"}, {"ref": "teeyee314/kfold-lightgbm-without-leak-1-062", "kernel_id": "6734421"}, {"ref": "teeyee314/best-single-half-half-lgbm-1-07", "kernel_id": "6686349"}, {"ref": "kaushal2896/ashrae-eda-fe-lightgbm-1-12", "kernel_id": "6289268"}, {"ref": "roydatascience/ashrae-energy-prediction-using-stratified-kfold", "kernel_id": "6897699"}, {"ref": "roydatascience/ashrae-exploiting-leak-site-5", "kernel_id": "6712535"}, {"ref": "lpdataninja/ashrae-great-energy-linear-regression-baseline", "kernel_id": "6640104"}, {"ref": "themonologue/ashrae-manual-weights", "kernel_id": "6897787"}, {"ref": "carlolepelaars/understanding-the-metric-rmsle", "kernel_id": "6359536"}, {"ref": "wentixiaogege/ashrae-maybe-this-can-make-public-lb-some-useful", "kernel_id": "6696519"}, {"ref": "d1348k/prophet-1-building-prediction", "kernel_id": "6691127"}, {"ref": "ishaan45/starter-code", "kernel_id": "6332576"}, {"ref": "pednt9/express-comprehensive-eda", "kernel_id": "6530697"}, {"ref": "navneetkr123/eda-fe-ashrae", "kernel_id": "6403063"}, {"ref": "wuliaokaola/ashrae-maybe-this-can-make-public-lb-some-useful", "kernel_id": "6689419"}, {"ref": "bejeweled/ashrae-catboost-regressor", "kernel_id": "6244139"}, {"ref": "rachitt96/linear-regression-baseline-for-starting", "kernel_id": "6387531"}, {"ref": "bitan1998/kernel5618fffe2d", "kernel_id": "6382216"}, {"ref": "rohandeysarkar/ashrae-great-energy-feature-engineering", "kernel_id": "6560844"}, {"ref": "tippu89/ashrae-energy-prediction-starter-code", "kernel_id": "6324659"}, {"ref": "mehdi16/ashrae-iii", "kernel_id": "6235799"}, {"ref": "sundaramoorthyks/ashrae-great-energy-predictor-iii-eda-fe", "kernel_id": "6666465"}, {"ref": "blue07/eda-insights-on-weather-buildings", "kernel_id": "6287906"}, {"ref": "kaerunantoka/chunk-to-handle-very-lerge-data", "kernel_id": "6242148"}, {"ref": "orion99/great-energy-prediction", "kernel_id": "6239775"}, {"ref": "geochatz/ashrae-building-energy-prediction-lightgbm", "kernel_id": "6725052"}, {"ref": "pdnartreb/scrap-asu-data", "kernel_id": "6680292"}, {"ref": "chivalroushv/energy-pred", "kernel_id": "6403712"}, {"ref": "dhananjay3/ashrae-eda-all-you-need-to-know", "kernel_id": "6244526"}, {"ref": "secunsexto/kernel573b2fc969", "kernel_id": "6764121"}, {"ref": "niuniu24/kernel54109f8930", "kernel_id": "6588001"}, {"ref": "drexpz/ashrae-lightgbm-process-data-visualization", "kernel_id": "6264411"}, {"ref": "samihadouaj/ashrae-half-and-half", "kernel_id": "6783822"}, {"ref": "basma1saad/basic-exploratory-data-analysis", "kernel_id": "6962508"}, {"ref": "salazar12/ashrae-exploration", "kernel_id": "6750950"}, {"ref": "kyakovlev/ashrae-cv-options", "kernel_id": "6261984"}, {"ref": "kyakovlev/ashrae-data-minification", "kernel_id": "6245155"}, {"ref": "kyakovlev/ashrae-baseline-lgbm", "kernel_id": "6249602"}, {"ref": "kyakovlev/ashrae-lgbm-simple-fe", "kernel_id": "6384816"}, {"ref": "kyakovlev/ashrae-catboost", "kernel_id": "6360642"}, {"ref": "enigola/ashrae-ml-hw6-lgbm", "kernel_id": "6948274"}, {"ref": "yumu97/project", "kernel_id": "6938991"}, {"ref": "muellerzr/fastai-v2-starter-code", "kernel_id": "6245632"}, {"ref": "endrewrossin/ashrae-eda-with-seaborn", "kernel_id": "6266211"}, {"ref": "caneiro/ashrae-basic-preprocess2", "kernel_id": "6423492"}, {"ref": "moonlight314/loading-data-simple-eda", "kernel_id": "6593379"}, {"ref": "worounas/ashrae-great-energy-predictor-iii", "kernel_id": "6250307"}, {"ref": "knotseaborg/ashrae-attempt", "kernel_id": "6666133"}, {"ref": "abumabrur/ashrae-simple-analysis-towards-accurate-prediction", "kernel_id": "6516724"}, {"ref": "mimoudata/ashrae-lightgbm-without-leak-data", "kernel_id": "6950406"}, {"ref": "poltigo/ashrae-fastai", "kernel_id": "6598681"}, {"ref": "subinium/weather-dashboard-eda-visualization", "kernel_id": "6237915"}, {"ref": "swathym/ashrae-3-fold-lightgbm", "kernel_id": "6792630"}, {"ref": "gunesevitan/ashrae-lightgbm-1-048-no-leak", "kernel_id": "6234391"}, {"ref": "gunesevitan/ashrae-eda-and-preprocessing", "kernel_id": "6242487"}, {"ref": "gunesevitan/ashrae-ucf-spider-and-eda-full-test-labels", "kernel_id": "6576116"}, {"ref": "shukla84manish/energy-consumption", "kernel_id": "6801043"}, {"ref": "eamonnorgan/kernel731666ff58", "kernel_id": "6613126"}, {"ref": "jesucristo/starter-great-energy-predictor", "kernel_id": "6243079"}, {"ref": "blakefren/ashrae-gepiii-notebook", "kernel_id": "6463750"}, {"ref": "hanjoonchoe/ashrae-site-id-0-8-site-id-7-11-are-the-same", "kernel_id": "6473990"}, {"ref": "hanjoonchoe/ashrae-ngboost-simple-application", "kernel_id": "6510593"}, {"ref": "hanjoonchoe/ashrae-lgbm-with-optuna-demonstration", "kernel_id": "6437505"}, {"ref": "hanjoonchoe/ashrae-fe-lgbm-incomplete-ver-1", "kernel_id": "6409306"}, {"ref": "marinaborodkina/ashrae-eda", "kernel_id": "6416625"}, {"ref": "patrick0302/locate-cities-according-weather-temperature", "kernel_id": "6437233"}, {"ref": "etsc9287/a-thorough-eda-on-ashrae", "kernel_id": "6394028"}, {"ref": "nz0722/aligned-timestamp-lgbm-by-meter-type", "kernel_id": "6422772"}, {"ref": "billynguyen/energy-consumption", "kernel_id": "6244903"}, {"ref": "gijske/ashrae-competition-gijs-clean", "kernel_id": "6373319"}, {"ref": "stephentsumner/ashrae-alpha-version", "kernel_id": "6767020"}, {"ref": "huanglinyan/ashrae-may-make-it-up-to-1-0", "kernel_id": "6735565"}, {"ref": "jogin213/ashrae", "kernel_id": "6394385"}, {"ref": "trehansalil1/ashrae-eda", "kernel_id": "6597205"}, {"ref": "trehansalil1/ashrae-weather-train-test-imputation", "kernel_id": "6639234"}, {"ref": "ccjoshua/ashrae-airtemperature", "kernel_id": "6329053"}, {"ref": "aravindankrishnan/ashrae-step-by-step-eda", "kernel_id": "6624441"}, {"ref": "takiyu/ashrae-great-energy-3-verification-after-predict", "kernel_id": "6828673"}, {"ref": "ethanstykes/basic-eda", "kernel_id": "6241264"}, {"ref": "amanacden/ashrae-feather", "kernel_id": "6619754"}, {"ref": "daavids/ashrae-yoshvei", "kernel_id": "6534739"}, {"ref": "yujaiol/kernel4aa1c5a92e", "kernel_id": "6329054"}, {"ref": "litemort/implicit-merge-operation-by-litemort", "kernel_id": "6757659"}, {"ref": "rohan9889/handling-missing-data-ashrae-pt2", "kernel_id": "6284066"}, {"ref": "rohan9889/handling-missing-data-ashrae-pt1", "kernel_id": "6252442"}, {"ref": "makrovh/ashrae-slice6", "kernel_id": "6677861"}, {"ref": "drcapa/ashrae-feature-engineering-merge-data", "kernel_id": "6234724"}, {"ref": "drcapa/ashrae-datagenerator-lstm", "kernel_id": "6240852"}, {"ref": "jt120lz/energy-baseline-predict", "kernel_id": "6239003"}, {"ref": "jt120lz/energy-baseline-train", "kernel_id": "6238257"}, {"ref": "kulkarnivishwanath/ashrae-great-energy-predictor-iii-eda-model", "kernel_id": "6241124"}, {"ref": "parksangmmin19930217/ashrae-eda", "kernel_id": "6503094"}, {"ref": "iwatatakuya/ashrae-kfold-lightgbm-without-building-id", "kernel_id": "6805452"}, {"ref": "vikassingh1996/ashrae-great-energy-insightful-eda-fe-lgbm", "kernel_id": "6368238"}, {"ref": "einbot/simple-lightgbm-lb-1-24", "kernel_id": "6432091"}, {"ref": "cereniyim/save-the-energy-for-the-future-3-predictions", "kernel_id": "6956485"}, {"ref": "cereniyim/save-the-energy-for-the-future-2-fe-lightgbm", "kernel_id": "6837948"}, {"ref": "cereniyim/save-the-energy-for-the-future-1-detailed-eda", "kernel_id": "6693506"}, {"ref": "aitude/ashrae-missing-weather-data-handling", "kernel_id": "6497503"}, {"ref": "aitude/ashrae-reduce-memory-usages", "kernel_id": "6382421"}, {"ref": "aitude/eda-ashrae-time-series-analysis", "kernel_id": "6405304"}, {"ref": "aitude/ashrae-hyperparameter-tuning", "kernel_id": "6759916"}, {"ref": "aitude/ashrae-kfold-lightgbm-without-leak-1-08", "kernel_id": "6706026"}, {"ref": "aitude/ashrae-cross-validation-methods-for-lightgbm", "kernel_id": "6886014"}, {"ref": "shuyam/ashare-eda", "kernel_id": "6690407"}, {"ref": "abot7898/ashrae-iii-metering-data-explore-train", "kernel_id": "6413700"}, {"ref": "robertobianco/main-eda-and-relationships-between-variables", "kernel_id": "6323579"}, {"ref": "robertobianco/time-series-study", "kernel_id": "6564373"}, {"ref": "starl1ght/ashrae-stacked-regression-lasso-ridge-lgbm", "kernel_id": "6903460"}, {"ref": "purist1024/ashrae-the-worst-meters", "kernel_id": "6716062"}, {"ref": "purist1024/strategy-evaluation-what-helps-and-by-how-much", "kernel_id": "6703417"}, {"ref": "purist1024/ashrae-simple-data-cleanup-lb-1-08-no-leaks", "kernel_id": "6769251"}, {"ref": "pp2file/ashrae-site15-cornell", "kernel_id": "6742596"}, {"ref": "jootaewoo/ashrae-prediction-eda", "kernel_id": "6846186"}, {"ref": "marcovasquez/basic-eda-data-visualization-plots", "kernel_id": "6233788"}, {"ref": "makrovmf3/ashare-lgbn", "kernel_id": "6450158"}, {"ref": "makrovmf3/ashrae-slice3", "kernel_id": "6677226"}, {"ref": "alexishchenko/ashare-adversarial-validation-modelmissing-values", "kernel_id": "6679248"}, {"ref": "alexishchenko/ashare-scoring", "kernel_id": "6772636"}, {"ref": "caesarlupum/ashrae-start-here-a-gentle-introduction", "kernel_id": "6235822"}, {"ref": "caesarlupum/ashrae-ligthgbm-simple-fe-and-mlops-mlfoundry", "kernel_id": "6308940"}, {"ref": "mdanielson/model-less-median-prediction", "kernel_id": "6626706"}, {"ref": "shubhambavishi/plant-seed-classi", "kernel_id": "6307046"}, {"ref": "ghisloine/python-denemeler", "kernel_id": "6839088"}, {"ref": "fallen123/ashrae-energy-prediction", "kernel_id": "6349181"}, {"ref": "liannan2016/ashrae-3-lightgbm", "kernel_id": "6807653"}, {"ref": "amigosmomo/ashrae-great-energy-predictor-iii-mockh", "kernel_id": "6426256"}, {"ref": "sumeetsawant/ashrae-data-exploration", "kernel_id": "6246245"}, {"ref": "victoriavolokhina/ashrae-great-energy-predictor-preprocessing", "kernel_id": "6640854"}, {"ref": "yixinchen1/simple-lightgbm-lb-1-18", "kernel_id": "6655733"}, {"ref": "yixinchen1/ashrae-eda-lgb-doublelgb", "kernel_id": "6559468"}, {"ref": "yixinchen1/ashrae-1-1-to-1-06-with-ucl", "kernel_id": "6564182"}, {"ref": "nonborghini/simple-lgbm-solution", "kernel_id": "6349939"}, {"ref": "obrinkmann/ashrae-great-energy-predictor-iii", "kernel_id": "6818022"}, {"ref": "zen1204/ashrae-eda", "kernel_id": "6274718"}, {"ref": "jyang0110/ma541-project", "kernel_id": "6846121"}, {"ref": "siddheshmanjrekar15/ma-541-project", "kernel_id": "6783918"}, {"ref": "trudie35/weather-cleaning-and-validating-with-darksky", "kernel_id": "6643237"}, {"ref": "jimeno/ashrae-weather-features-are-not-in-local-time", "kernel_id": "6345464"}, {"ref": "kurodakohei/first-test-submission", "kernel_id": "6350201"}, {"ref": "matsushin/kernel3a89971bf9", "kernel_id": "6350235"}, {"ref": "josecarmona/ashrae-outliers-detection-with-isolation-forest", "kernel_id": "6751112"}, {"ref": "josecarmona/ashrae-lgbm-t2", "kernel_id": "6659430"}, {"ref": "josecarmona/my-very-first-eda-for-ashrae", "kernel_id": "6599934"}, {"ref": "ramngil/test-ashrae", "kernel_id": "6388376"}, {"ref": "tehutahu/2380-models-on-each-building-and-meter", "kernel_id": "6953364"}, {"ref": "changethetuneman/ashrae-h2o-1-slice", "kernel_id": "6626821"}, {"ref": "aiiqams/ashrae-slice-4", "kernel_id": "6677254"}, {"ref": "chaneol/ashrae-slice2", "kernel_id": "6677213"}, {"ref": "jwx539/simple-lightgbm", "kernel_id": "6943173"}, {"ref": "afrahsiddiqi/baseline-code", "kernel_id": "6730009"}, {"ref": "clementut/kernel4e51c0227f", "kernel_id": "6964047"}, {"ref": "jrodrigof/model-rf", "kernel_id": "6978620"}, {"ref": "mmotoki/generalized-weighted-mean", "kernel_id": "7369811"}, {"ref": "mmotoki/hierarchical-bayesian-target-encoding", "kernel_id": "7395917"}, {"ref": "wittmannf/0-939-lb-public-blend-leak-valid-ridgecv", "kernel_id": "7225493"}, {"ref": "wittmannf/blender-leak-validation-inception", "kernel_id": "7090700"}, {"ref": "rahulaggarwal/kernel-energy-predictor", "kernel_id": "7297168"}, {"ref": "dallal/modified-stacked-regression", "kernel_id": "7135110"}, {"ref": "robikscube/ashrae-leaderboard-and-shake", "kernel_id": "7245623"}, {"ref": "tanyashtym/kaggle-competition-dyts", "kernel_id": "7040407"}, {"ref": "gpamoukoff/ashrae-keras-nn-entity-embeddings-radam-lag", "kernel_id": "7608876"}, {"ref": "gpamoukoff/ashrae-lgbm-per-site", "kernel_id": "7606551"}, {"ref": "gpamoukoff/ashrae-subm-stack-fin-3", "kernel_id": "7117024"}, {"ref": "gpamoukoff/ashrae-keras-nn-entity-embeddings-adam-rop-sch", "kernel_id": "7721914"}, {"ref": "sheriytm/ashrae-public-lb-before-rescoring", "kernel_id": "7248850"}, {"ref": "kadriligi/sneaky-weasels", "kernel_id": "7076101"}, {"ref": "kadriligi/no-weather-data", "kernel_id": "7110288"}, {"ref": "khaitov/model-driven-imputation-with-rf", "kernel_id": "7207529"}, {"ref": "liesk6/ashrae-eda-lgbm-bagging-regression", "kernel_id": "7442594"}, {"ref": "anjeetkumar/kaggle-ashrae-energy-prediction-timeseriesforcast", "kernel_id": "7100005"}, {"ref": "anjeetkumar/ashraeenergy-non-parametric-prediction", "kernel_id": "7117349"}, {"ref": "anjeetkumar/anjeet-ashraeenergy-prediction-2", "kernel_id": "7105717"}, {"ref": "tianyuanluo/ashare-code-20200204", "kernel_id": "7833395"}, {"ref": "yamsam/ashrae-leak-data-station-drop-null", "kernel_id": "7076139"}, {"ref": "vladimirsydor/lgbm-on-pp-leaks-train-fe-fold-1", "kernel_id": "7007555"}, {"ref": "vladimirsydor/baseline-preprocessing-leaks-train-fe", "kernel_id": "7000936"}, {"ref": "vladimirsydor/bland-lgbm-on-pp-leaks-train-fe", "kernel_id": "7023062"}, {"ref": "vladimirsydor/bland-nn-on-pp-leaks-train-fe", "kernel_id": "7039727"}, {"ref": "vladimirsydor/nn-on-pp-leaks-train-fe-fold-1", "kernel_id": "7035106"}, {"ref": "uestcblackstar/lb1-14-no-leak-simple-linear-regression-model", "kernel_id": "7204878"}, {"ref": "madisj/kernel3377148266", "kernel_id": "7067056"}, {"ref": "abhinc/lgbm-simple", "kernel_id": "7121796"}, {"ref": "teeyee314/aligned-timestamp-lgbm-by-meter-type-1-09", "kernel_id": "7249311"}, {"ref": "roydatascience/ashrae-stratified-kfold-lightgbm", "kernel_id": "7014050"}, {"ref": "hichar/ashrae-divide-and-conquer-fix0", "kernel_id": "7008107"}, {"ref": "tsymbolist/ashrae-kfold-lightgbm", "kernel_id": "7107462"}, {"ref": "wentzforte/ashrae-test-final", "kernel_id": "7113143"}, {"ref": "nerobugger/ashrae-eda-lgb-and-dnn-no-leak-part-1", "kernel_id": "7417558"}, {"ref": "nerobugger/ashrae-eda-lgb-and-dnn-no-leak-part-2", "kernel_id": "7539816"}, {"ref": "amangeldysh/my-kernel", "kernel_id": "7117945"}, {"ref": "minmyk/blending-with-genetic-algorithm-pipeline", "kernel_id": "7119261"}, {"ref": "olivermkr/data-analysis-feature-engineering", "kernel_id": "7133309"}, {"ref": "villemtn/my-baseline", "kernel_id": "7094889"}, {"ref": "screaminglordbyron/kullipojad-submission", "kernel_id": "7119554"}, {"ref": "rutvi167894566/lightgbm-ashrae", "kernel_id": "7024953"}, {"ref": "akashghatge/ashrae-kfold-lightgbm-rf-lr-modelling", "kernel_id": "7092748"}, {"ref": "akashghatge/ashrae-nuc1", "kernel_id": "7040908"}, {"ref": "sagarc/ashrae-problem", "kernel_id": "7983255"}, {"ref": "mimoudata/ashrae-lightgbm-without-leak", "kernel_id": "7034581"}, {"ref": "mimoudata/ashrae-2-lightgbm-without-leak-data", "kernel_id": "7029946"}, {"ref": "garipurv/ashrae-eda", "kernel_id": "7169792"}, {"ref": "thiull/projet-energie-ashrae", "kernel_id": "7558431"}, {"ref": "khalilo159/ashrae-prediction-using-lstm", "kernel_id": "7364555"}, {"ref": "patrick0302/fill-missing-for-train-data-by-lightgbm", "kernel_id": "7120392"}, {"ref": "vaibhavsxn/light-gbm", "kernel_id": "7612520"}, {"ref": "kueno55/interpolate-weather", "kernel_id": "7170666"}, {"ref": "ftahirov/kernel3a07a26d18", "kernel_id": "7032655"}, {"ref": "mihirahuja01/beginner-s-eda", "kernel_id": "7698670"}, {"ref": "sbrar0804/ashrae-data-cleaning-and-correction-r", "kernel_id": "7076033"}, {"ref": "deepbear/ashrae-energy-prediction", "kernel_id": "7096130"}, {"ref": "kaneki1998/ml2019", "kernel_id": "7030779"}, {"ref": "rampathan/ashrae-great-energy-predictor-iii-xgb-model", "kernel_id": "7025146"}, {"ref": "yunishi0716/best-weight-searching3", "kernel_id": "7099844"}, {"ref": "yunishi0716/ashrae-great-energy-predictor-iii-92th-solution", "kernel_id": "7679309"}, {"ref": "yunishi0716/k-folds-model", "kernel_id": "7691379"}, {"ref": "yunishi0716/half-and-half-model-ashre", "kernel_id": "7803913"}, {"ref": "yunishi0716/3-folds-by-each-meter-type", "kernel_id": "7804458"}, {"ref": "raidur/boost-half", "kernel_id": "7117943"}, {"ref": "cs166222/energy1", "kernel_id": "7115167"}, {"ref": "ahmedboulahia/dl-project", "kernel_id": "7500083"}, {"ref": "azizovitic/gru-model", "kernel_id": "7488099"}, {"ref": "shuan3/ashrae-random-forest-model", "kernel_id": "7158745"}, {"ref": "taidopurason/kfold-lgbm-for-each-site", "kernel_id": "7136098"}, {"ref": "mathchi/deep-challenge-lightgbm-model", "kernel_id": "7030277"}, {"ref": "mathchi/deep-challenge-catboost-model", "kernel_id": "7055880"}, {"ref": "nehalnavande/datasci-nrrr-timeseries", "kernel_id": "7025700"}, {"ref": "nel1166/ashrae-ligthbgm-beginner", "kernel_id": "7013931"}, {"ref": "takbull/ashrae-kfold-lightgbm-without-leak-1-08", "kernel_id": "7054864"}, {"ref": "angelapuc/dealing-with-missing-values", "kernel_id": "7604057"}, {"ref": "angelapuc/model-lgbm-of-final-ds-notebook", "kernel_id": "7623141"}, {"ref": "angelapuc/eda-of-final-ds-notebook", "kernel_id": "7622991"}, {"ref": "xinchenli/ashrae-7d4460", "kernel_id": "7092483"}, {"ref": "zhangxsaras/ashrae-function", "kernel_id": "7109308"}, {"ref": "pierrematthieupair/ashrae-modeling", "kernel_id": "7043719"}, {"ref": "pierrematthieupair/ashrae-preprocessing-train", "kernel_id": "7032982"}, {"ref": "genelee1/ashrae-energy-prediction", "kernel_id": "7737276"}, {"ref": "migglu/odyssey-towards-a-sustainable-built-environment", "kernel_id": "7021122"}, {"ref": "kaarelk/ashrae-lightgbm-with-k-fold-cross-validation", "kernel_id": "7094483"}, {"ref": "kaarelk/ashrae-lightgbm-with-k-fold-cv", "kernel_id": "7134409"}, {"ref": "faresgaaloul/ashare-great-energy-predictor-keras-dnn", "kernel_id": "7394195"}, {"ref": "navidbamdadroshan/unitartu-ml-navid", "kernel_id": "7022589"}, {"ref": "navidbamdadroshan/unitartu-ml-submit", "kernel_id": "7036203"}, {"ref": "kaiusloos/tiimtiim-final", "kernel_id": "7109135"}, {"ref": "dhiaeddineelabidi/kernel5ea29af05a", "kernel_id": "7410678"}, {"ref": "evelynchin/ashrae-energy-predictor", "kernel_id": "7705275"}, {"ref": "fabiange/energy-usage", "kernel_id": "8224431"}, {"ref": "patrick0302/site-meter-split-sg-no-blend", "kernel_id": "8230856"}, {"ref": "patrick0302/postprocessed-models", "kernel_id": "8247479"}, {"ref": "patrick0302/postprocessed-models-bland-by-leak", "kernel_id": "8253133"}, {"ref": "dots9999/jo-kernel-ash1", "kernel_id": "8138718"}, {"ref": "gshawn/lgbm-lstm-2020", "kernel_id": "8030282"}, {"ref": "natalieweaver/ec-424-project", "kernel_id": "8209803"}, {"ref": "tiagofujii/an-lise-explorat-ria-ashrae", "kernel_id": "8771230"}, {"ref": "shizhewu/cee69005-double-quarter-pounder-eda", "kernel_id": "8755528"}, {"ref": "lhd0430/ashrae-energy-prediction-eda", "kernel_id": "9610038"}, {"ref": "ninads/kernel2f69c5834b", "kernel_id": "9244823"}, {"ref": "codeweb/project-great-energy-prediction", "kernel_id": "9943592"}, {"ref": "omgl93/the-great-energy-predicator-eda", "kernel_id": "9297559"}, {"ref": "cherylzr/ashrae-all", "kernel_id": "9362921"}, {"ref": "findyou/ashrae-great-energy-eda-lightwave-wang", "kernel_id": "9355293"}, {"ref": "findyou/clean-up-separate-modeling-lightwave-wang", "kernel_id": "9356079"}, {"ref": "findyou/clean-and-divide-half-by-month", "kernel_id": "9377494"}, {"ref": "findyou/solution-of-ashrae-great-energy-by-lightwavewang", "kernel_id": "9388119"}, {"ref": "shizhewu/cee69005-double-quarter-pounder-preprocessing", "kernel_id": "9067844"}, {"ref": "kellytornetta/kelly-adam-xiang", "kernel_id": "9414555"}, {"ref": "lewington/kernel75faf2563a", "kernel_id": "10467121"}, {"ref": "mikechentf/ashrae-eda-and-basic-modeling", "kernel_id": "10705941"}, {"ref": "darisdzakwanhoesien2/ashrae-great-energy-predictor-iii", "kernel_id": "10636319"}, {"ref": "jennaseo/ashrae-analysis-trial-codes", "kernel_id": "10445662"}, {"ref": "masoudmzb/eda-how-to-detect-noises", "kernel_id": "11705236"}, {"ref": "kk0105/ashrae-part-1-dea", "kernel_id": "11897124"}, {"ref": "raviyadav2398/locate-cities-according-speed-pressure-directon", "kernel_id": "11211633"}, {"ref": "omkardray/ashrae-energy-prediction", "kernel_id": "11117033"}, {"ref": "mahdiesrafili/building-energy-consumption-prediction", "kernel_id": "11710815"}, {"ref": "zeynepkurban/ashrae-great-energy-predictor-iii", "kernel_id": "11918768"}, {"ref": "fatmanuranl/ashrae-energy-prediction1-eda", "kernel_id": "11924890"}, {"ref": "hehehenrywong/kernel7dabe71877", "kernel_id": "11095865"}, {"ref": "xinchangli/cee-498ds-project-11-eda", "kernel_id": "11905567"}, {"ref": "vitorbl/ashare-iv-simposio", "kernel_id": "12836447"}, {"ref": "lashamaev/baseline4", "kernel_id": "12585544"}, {"ref": "masoudmzb/data-imputation-train-no-nan", "kernel_id": "12316596"}, {"ref": "zeynepkurban/ashrae-2", "kernel_id": "12153239"}, {"ref": "kens3i/beginner-freindly-great-energy-predictor-with-lgbm", "kernel_id": "12484795"}, {"ref": "fatmanuranl/ashrae-energy-prediction2", "kernel_id": "12072030"}, {"ref": "yindachen/ashrae-cat", "kernel_id": "12933047"}, {"ref": "yindachen/ashrae-lgb", "kernel_id": "12906336"}, {"ref": "jeffreyyang1997/cee-498ds-project-11-eda", "kernel_id": "12405029"}, {"ref": "benjaminsmakic/notebook579c9113ac", "kernel_id": "12190776"}, {"ref": "mingyusun/notebookee7094b65f", "kernel_id": "12465014"}, {"ref": "alexandersylvester/ashrae-energy-predictions-with-lightgbm", "kernel_id": "13349586"}, {"ref": "xinchangli/cee-498ds-project-11-competition", "kernel_id": "13201069"}, {"ref": "jeffreyyang1997/cee-498ds-project-11-competition", "kernel_id": "13141518"}, {"ref": "benjaminsmakic/benjamin-smakic-group-11-kaggle-competition", "kernel_id": "13066148"}, {"ref": "mingyusun/mingyu-sun-group-11-project", "kernel_id": "13021773"}, {"ref": "mingyusun/mingyu-sun-ashrae-project-by-meter-type", "kernel_id": "13209880"}, {"ref": "opneshdewangan/ashrae-kfold-lightgbm-without-leak-1-08", "kernel_id": "13260168"}, {"ref": "brianwilens/mingyu-sun-ashrae-project-by-meter-type", "kernel_id": "13158381"}, {"ref": "varunjain113/ashrae-starting-dataset-tabularpandas-object", "kernel_id": "14888497"}, {"ref": "aminaerrouche/pre-processing", "kernel_id": "14377275"}, {"ref": "wittmannf/aula-2-awari", "kernel_id": "16961863"}, {"ref": "rawan21/notebooka44da12057", "kernel_id": "16114755"}, {"ref": "faridsharaf/ashrae-project", "kernel_id": "16139191"}, {"ref": "mahmoud10/ashrae-energy-predictions-with-lightgbm", "kernel_id": "17385786"}, {"ref": "chaisameboy/tutorial-practice", "kernel_id": "17362380"}, {"ref": "yshiml/ashrae-alert", "kernel_id": "17733602"}, {"ref": "yshiml/ashrae-simple-lgbm-optuna-baseline", "kernel_id": "17437175"}, {"ref": "michelezoccali/ashrae-energy-prediction-single-lgbm", "kernel_id": "17860825"}, {"ref": "michelezoccali/ashrae-energy-prediction-meter-specific-lgbm", "kernel_id": "17894135"}, {"ref": "michelezoccali/ashrae-with-fast-ai-part-3", "kernel_id": "18333800"}, {"ref": "michelezoccali/ashrae-with-fast-ai-part-1", "kernel_id": "18336086"}, {"ref": "michelezoccali/ashrae-with-fast-ai-part-2", "kernel_id": "18351865"}, {"ref": "michelezoccali/random-forest-with-embeddings-tutorial-part-2", "kernel_id": "18431015"}, {"ref": "michelezoccali/random-forest-with-embeddings-tutorial-part-1", "kernel_id": "18406396"}, {"ref": "patrick0302/kfold-lightgbm-without-leak-raw", "kernel_id": "19394613"}, {"ref": "patrick0302/best-single-half-half-lgbm-raw", "kernel_id": "19396510"}, {"ref": "patrick0302/best-single-half-half-lgbm-cleaned", "kernel_id": "19419896"}, {"ref": "patrick0302/kfold-lightgbm-without-leak-cleaned", "kernel_id": "19419903"}, {"ref": "jordiarellano/weather-data-filler", "kernel_id": "19839453"}, {"ref": "jordiarellano/ashrae-preparation", "kernel_id": "19805318"}, {"ref": "patrick0302/fyp-ae-loading-and-preprocessing-data", "kernel_id": "23962083"}, {"ref": "patrick0302/fyp-ae-modeling", "kernel_id": "23963264"}, {"ref": "ahmedelgamal1/ecen-425-project", "kernel_id": "23728288"}, {"ref": "moatazbellahahmed/machine-project-eda", "kernel_id": "23666663"}, {"ref": "moatazbellahahmed/machine-project-data-modeling", "kernel_id": "23765497"}, {"ref": "mohannadtaifour22/ashrae-project", "kernel_id": "23484970"}, {"ref": "usefgadallah/energy-prediction-eda", "kernel_id": "23747461"}, {"ref": "usefgadallah/energy-prediction-using-sgd-svm", "kernel_id": "23750400"}, {"ref": "usefgadallah/energy-prediction-using-lasso-ridge-elastic-net", "kernel_id": "23750601"}, {"ref": "usefgadallah/energy-prediction-using-linear-regression", "kernel_id": "23749279"}, {"ref": "salmazakzouk/ashrae-project", "kernel_id": "23126222"}, {"ref": "sezohessen/weather-cleaning", "kernel_id": "23655245"}, {"ref": "mahmoudhasan/ml-project-energy-prediction", "kernel_id": "23359992"}, {"ref": "sakurakh/energy-prediction-ii", "kernel_id": "23597597"}, {"ref": "ts1789/ashrae-part-1-eda", "kernel_id": "23836508"}, {"ref": "ts1789/ashrae-part-2-feature-engineering-and-selection", "kernel_id": "23837022"}, {"ref": "ts1789/ashrae-part-3-models-and-fine-tuning", "kernel_id": "23837902"}, {"ref": "abdelrahmanemad22/csci417-notebook-ridge-p3", "kernel_id": "23828479"}, {"ref": "abdelrahmanemad22/csci417-notebook-decision-tree-regression-p2", "kernel_id": "23810949"}, {"ref": "abdelrahmanemad22/csci417-notebook-eda-features-eng-linear-reg-p1", "kernel_id": "23683324"}, {"ref": "choosen23/ashrae-great-energy-predictor-iii-by-filippou-m", "kernel_id": "25427862"}, {"ref": "faviansulthanwafi/tugas-eda-kelompok-b", "kernel_id": "25633918"}, {"ref": "lekangjin/sunlightsedu-ashrae-lgb", "kernel_id": "25280397"}, {"ref": "adriaanwaleleng/eda-a-kelompok-e", "kernel_id": "25996466"}, {"ref": "medifapuspaningrum/tugaseda-f", "kernel_id": "25998771"}, {"ref": "aurelionaufal/notebook6281a62fb7", "kernel_id": "25636489"}, {"ref": "aurelionaufal/notebook355c68d7b4", "kernel_id": "25638437"}, {"ref": "ahmedkamar99/weather-train-ahmed", "kernel_id": "26478203"}, {"ref": "muhamadrakanakmal/eda-kelompok-a-data-train", "kernel_id": "26016309"}, {"ref": "muhamadrakanakmal/eda-kelompok-a-data-test", "kernel_id": "26017459"}, {"ref": "rimafitriantiazahra/kelompok-e-project-1-eda", "kernel_id": "26011095"}, {"ref": "emphymachine/3-ashrae-energy-prediction-eda-pjt", "kernel_id": "27208255"}, {"ref": "minhvngc/exploration", "kernel_id": "28083990"}, {"ref": "andrespadillaucros/5-energy-forecasting", "kernel_id": "28603566"}, {"ref": "sangyeongjang1/team-project", "kernel_id": "28168167"}, {"ref": "abhigyandatta/eda-ashrae-energy-consumption", "kernel_id": "29308171"}, {"ref": "muhizatar/ashrae-ligthgbm-simple-fe-and-mlops-mlfoundry", "kernel_id": "30366896"}, {"ref": "anastasiiausmanova/part-1-mlpipeline-eda", "kernel_id": "30976625"}, {"ref": "alfredopeto/macd-exploraci-n-de-datos-grupo-r", "kernel_id": "31043568"}, {"ref": "realstay/sunlightsedu-ashrae-lgb", "kernel_id": "32353889"}, {"ref": "ahmedkhaledaskar/energy-prediction-ii-modeling", "kernel_id": "33902688"}, {"ref": "ahmedkhaledaskar/energy-prediction-i", "kernel_id": "33902703"}, {"ref": "sahibpreet05/training-models-start", "kernel_id": "33900047"}, {"ref": "vitozhu14/ashrae-lstm", "kernel_id": "34139699"}, {"ref": "sahibpreet05/ashrae-additional-eda", "kernel_id": "34637854"}, {"ref": "theo75/eda-lightgbm-with-optuna-rnn-commented", "kernel_id": "35101106"}, {"ref": "nadhif2104/tugas2eda-time-series-visualization", "kernel_id": "38381088"}, {"ref": "rachmaniaazzahras/notebookd111ec2f4e", "kernel_id": "38381572"}, {"ref": "nermeanashraf/425project-v2", "kernel_id": "39282490"}, {"ref": "hassnaagamal/425project", "kernel_id": "39266354"}, {"ref": "abhisheksingh000261/hackathon-energy-prediction", "kernel_id": "43594804"}, {"ref": "meidytarully/ashrae-train", "kernel_id": "46632862"}, {"ref": "pjclet/cletp-ml-project-final", "kernel_id": "47413577"}, {"ref": "vir1on/ml4a-ashrae-project-part-1-preprocessing", "kernel_id": "48257266"}, {"ref": "samnamirr/ml-project-laiba-memon", "kernel_id": "49473177"}, {"ref": "axeldawne/ashrae-great-energy-predictor-iii", "kernel_id": "65536711"}, {"ref": "seasorc/machine-project-data-modeling", "kernel_id": "73463303"}, {"ref": "curiousmindskids/ashrae-competition-project", "kernel_id": "75793145"}, {"ref": "mreskandarinasab/eagle-usu", "kernel_id": "77070694"}, {"ref": "mreskandarinasab/eagleusu-checkpoint2", "kernel_id": "78706153"}, {"ref": "jamieenbrown/ashrae-start-here-a-gentle-introduction", "kernel_id": "81394925"}, {"ref": "nishit12346u/sst7650", "kernel_id": "84395955"}, {"ref": "sezginkyle/high-accuracy-goal-ashrae-great-energy-predictor", "kernel_id": "89536903"}, {"ref": "kushagrashrikhande/ashrae-half-and-half", "kernel_id": "91852755"}, {"ref": "madhusastra/mltproject", "kernel_id": "94725388"}, {"ref": "amenifrada/hackathon", "kernel_id": "105071945"}, {"ref": "boudourmeddeb/hackathon", "kernel_id": "105075205"}, {"ref": "eyats1/optim-energy", "kernel_id": "105987761"}, {"ref": "richardpfeynman2234/uncertainty-aware-building-energy-modelling", "kernel_id": "107413808"}, {"ref": "abdullahkse/predicting-building-energy-consumption", "kernel_id": "113828826"}, {"ref": "raoabdulhadi/ashrae-energy-predictor-model", "kernel_id": "120859085"}, {"ref": "ett552/energy-prediction-ml", "kernel_id": "123112138"}, {"ref": "fatemehsariri/02-preprocessing-ipynb", "kernel_id": "126476352"}, {"ref": "asfarhossainsitab/tropilite-ie-protocol-a-version-3", "kernel_id": "133257002"}, {"ref": "asfarhossainsitab/tropilite-ie-protocol-a-vector-image", "kernel_id": "133742981"}, {"ref": "katchews/kchu-dsc680-milestone2", "kernel_id": "136171642"}]}
{"competition_id": "9999", "kernels": [{"ref": "inversion/simple-rf-benchmark", "kernel_id": "1227207"}, {"ref": "kmader/dummyregressor-baseline-for-time-series", "kernel_id": "1315061"}, {"ref": "danofer/getting-started-with-time-series-features", "kernel_id": "1230013"}, {"ref": "wwymak/forecasting-with-prophet-not-complete-yet", "kernel_id": "1333622"}, {"ref": "sumi25/understand-arima-and-tune-p-d-q", "kernel_id": "1480200"}, {"ref": "zsharpm/nested-mars-models", "kernel_id": "1585564"}, {"ref": "rmsgrk/predict-without-model-score-14-22346", "kernel_id": "1568885"}, {"ref": "rmsgrk/prediction-without-any-model-score-15-74640", "kernel_id": "1567870"}, {"ref": "abhilashawasthi/feature-engineering-lgb-model", "kernel_id": "1273295"}, {"ref": "tejasrinivas/simple-xgb-starter", "kernel_id": "1229423"}, {"ref": "CVxTz/keras-starter", "kernel_id": "1264021"}, {"ref": "indranilbhattacharya/basic-time-series-forecasting", "kernel_id": "1227448"}, {"ref": "krdatascientist/lightgbm-using-joblib", "kernel_id": "1338524"}, {"ref": "krdatascientist/fast-computation-and-forecasting", "kernel_id": "1294298"}, {"ref": "krdatascientist/speed-computation-forecast-using-r", "kernel_id": "1275023"}, {"ref": "igauty/lgbm-plus-average-sales", "kernel_id": "1572405"}, {"ref": "igauty/keeping-it-simple-by-xyzt-2a4132", "kernel_id": "1671056"}, {"ref": "foudifeomorfismo/10dimentional-round-markdown", "kernel_id": "1285423"}, {"ref": "foudifeomorfismo/vecautoreg49-intento-posmortem2", "kernel_id": "1326382"}, {"ref": "foudifeomorfismo/intentotarde", "kernel_id": "1984407"}, {"ref": "foudifeomorfismo/fueradetiempo", "kernel_id": "1984969"}, {"ref": "arindamgot/eda-prophet-mlp-neural-network-forecasting", "kernel_id": "1443642"}, {"ref": "leekltw1/time-grain-infographic", "kernel_id": "1633456"}, {"ref": "robikscube/fun-eda-with-fake-names-and-lots-of-plots", "kernel_id": "1485957"}, {"ref": "robikscube/prophet-xgboost-lags-averages-script", "kernel_id": "1515502"}, {"ref": "thexyzt/keeping-it-simple-by-xyzt", "kernel_id": "1564414"}, {"ref": "darshanadiga/store-sale-forecasting-dnn-solution-lstm", "kernel_id": "1318982"}, {"ref": "darshanadiga/time-series-data-exploration", "kernel_id": "1269666"}, {"ref": "darshanadiga/store-sale-forecasting-dnn-solution-ffnn", "kernel_id": "1277408"}, {"ref": "karankrishna/store-data-visualization", "kernel_id": "1429788"}, {"ref": "moizzz/introduction-to-forecasting", "kernel_id": "1596693"}, {"ref": "hammadkhan/xgboost-with-timeseriesfeatures", "kernel_id": "1246045"}, {"ref": "poiupoiu/how-to-use-sarimax", "kernel_id": "1505824"}, {"ref": "ashishsinhaiitr/store-prediction", "kernel_id": "1705400"}, {"ref": "harshpan/store-item-eda-lightgbm", "kernel_id": "1748414"}, {"ref": "cworsnup/backtesting-cross-validation-for-timeseries", "kernel_id": "1558759"}, {"ref": "adityaecdrid/my-first-time-series-comp-added-prophet", "kernel_id": "1373741"}, {"ref": "trozar/sales-demand-forecast", "kernel_id": "1721539"}, {"ref": "trozar/sales-demand-forecast-kernel-selfnorm", "kernel_id": "1728453"}, {"ref": "yyf1991/a-simple-example-on-linear-regression", "kernel_id": "1669896"}, {"ref": "ashishpatel26/light-gbm-demand-forecasting", "kernel_id": "1343618"}, {"ref": "ashishpatel26/lstm-demand-forecasting", "kernel_id": "1466774"}, {"ref": "ashishpatel26/store-item-demand-using-using-arima", "kernel_id": "1466211"}, {"ref": "ashishpatel26/keeping-it-simple-by-xyzt", "kernel_id": "1716538"}, {"ref": "nicapotato/demand-forecast-consecutive-lstm", "kernel_id": "1317732"}, {"ref": "hancelpv/arima-store-item-demand-forecasting", "kernel_id": "1276805"}, {"ref": "aldofranco/tbats-changes", "kernel_id": "1529593"}, {"ref": "cjlarson/sales-data-exploration", "kernel_id": "1411158"}, {"ref": "alexyin/feature-engineering-and-xgboost", "kernel_id": "1394853"}, {"ref": "sgorlick/4th-place-sol-n", "kernel_id": "1631081"}, {"ref": "luanho/random-ferest-regressor", "kernel_id": "1471506"}, {"ref": "tarika/prophet-model-xgboost-time-series", "kernel_id": "1603936"}, {"ref": "plarmuseau/fork-of-first-note-2", "kernel_id": "1244171"}, {"ref": "mullayilkannan/store-item-forecasting-simple", "kernel_id": "1745150"}, {"ref": "sudhirnl7/store-item-demand-forecast-eda-gbm-model", "kernel_id": "1606609"}, {"ref": "docligot/kernel3197b8dd0c", "kernel_id": "1720063"}, {"ref": "miladdoostan/handling-outliers-feature-engineering-lgbm", "kernel_id": "1444426"}, {"ref": "aliakshchurko/predictions-with-keras-neural-network-embeddings", "kernel_id": "1370423"}, {"ref": "smmcdonnell/eda-prophet-modelling-recreation-in-python", "kernel_id": "1865977"}, {"ref": "nafisur/store-item-demand-forecasting-challenge", "kernel_id": "1341504"}, {"ref": "nafisur/lgbm-plus-average-sales", "kernel_id": "1347814"}, {"ref": "egregori/clustering-time-series", "kernel_id": "1323066"}, {"ref": "dimitreoliveira/spark-and-deep-learning-rnn-keras-databricks", "kernel_id": "1338829"}, {"ref": "aman61197/simple-arima-model-for-forecasting", "kernel_id": "1621663"}, {"ref": "gbusch/fun-with-embeddings", "kernel_id": "1608637"}, {"ref": "returnofsputnik/lgbm-with-grouped-mean-median3-magic", "kernel_id": "1368863"}, {"ref": "returnofsputnik/prophet-daily-zero", "kernel_id": "1234253"}, {"ref": "returnofsputnik/taking-medians-from-fibonacci-series", "kernel_id": "1585341"}, {"ref": "s00100624/store-item-sales-forecast-using-tbats-model-of-r", "kernel_id": "1370547"}, {"ref": "kappernielsen/price-prediction", "kernel_id": "1456330"}, {"ref": "istnnrhk/demand-prediction-for-multi-store-and-multi-item", "kernel_id": "1514036"}, {"ref": "mihirjha6427/arima-and-xgboost-combined", "kernel_id": "1329096"}, {"ref": "mihirjha6427/ets-model", "kernel_id": "1328529"}, {"ref": "viridisquotient/arimax", "kernel_id": "1514940"}, {"ref": "viridisquotient/arima", "kernel_id": "1514146"}, {"ref": "viridisquotient/sarima", "kernel_id": "1510807"}, {"ref": "viridisquotient/benchmark-techniques", "kernel_id": "1474710"}, {"ref": "viridisquotient/prophet", "kernel_id": "1479578"}, {"ref": "judesen/store-item-demand", "kernel_id": "1286674"}, {"ref": "judesen/job-practice-feedback-appreciated", "kernel_id": "1372699"}, {"ref": "puneettyagi/forcasing-using-dl", "kernel_id": "1287875"}, {"ref": "bharanijase/time-series-sales-predict", "kernel_id": "1543246"}, {"ref": "jain02swati/demand-forecast-using-arima", "kernel_id": "1716234"}, {"ref": "gauravgulati9c/store-data-forecasting-time-series-exploration", "kernel_id": "1326363"}, {"ref": "yfyangd/mlp-benchmark", "kernel_id": "1271222"}, {"ref": "yfyangd/rf-xgboost-benchmark", "kernel_id": "1259413"}, {"ref": "rafa99/fork-of-arima-forecastitemstore-packunpack", "kernel_id": "1691618"}, {"ref": "rafa99/arima-forecastitemstore-packunpack", "kernel_id": "1691153"}, {"ref": "rafa99/heat-visualization-arima-weekly-aggregation-dea", "kernel_id": "1666077"}, {"ref": "jovanaz/sales-prediction", "kernel_id": "1334820"}, {"ref": "guilhermeagsouza/neural-network-autoregression-15-73290", "kernel_id": "1606989"}, {"ref": "ajaymanwani/eda-on-sales-for-each-store", "kernel_id": "1836801"}, {"ref": "acauveri/store-item-demand-forecasting-challenge-lightgbm-2", "kernel_id": "1500568"}, {"ref": "acauveri/lightgbm-bayes-parameter", "kernel_id": "1460008"}, {"ref": "acauveri/rf-regressor", "kernel_id": "1424443"}, {"ref": "acauveri/svr-model", "kernel_id": "1425711"}, {"ref": "acauveri/simple-gradientboosting-model", "kernel_id": "1401807"}, {"ref": "acauveri/simple-eda", "kernel_id": "1389502"}, {"ref": "acauveri/simple-rf-model-1", "kernel_id": "1389180"}, {"ref": "acauveri/simple-rf-model", "kernel_id": "1377899"}, {"ref": "jsaguiar/complete-eda-time-series-with-plotly", "kernel_id": "1316469"}, {"ref": "net2pal/store-prediction", "kernel_id": "1686082"}, {"ref": "elitcohen/store-sales-eda-and-linear-drift-prediction", "kernel_id": "1386210"}, {"ref": "boomberung/kerass-nn-try", "kernel_id": "1937101"}, {"ref": "apmonisha08/exploratory-data-analysis", "kernel_id": "1329737"}, {"ref": "myster/eda-prophet-winning-solution-3-0", "kernel_id": "1780642"}, {"ref": "sarath1341993/simple-mean-median-xgboost-14-13924", "kernel_id": "1573849"}, {"ref": "sarath1341993/xgboost-newcols-by-grouping-mean", "kernel_id": "1543495"}, {"ref": "sarath1341993/simple-xgboost", "kernel_id": "1545029"}, {"ref": "sarath1341993/lightgbm-with-ohe", "kernel_id": "1537966"}, {"ref": "robert76/store-item-demand", "kernel_id": "1619991"}, {"ref": "manuelhg/xgboost-for-demand-prediction", "kernel_id": "1615912"}, {"ref": "vinicius35/light-gbm", "kernel_id": "1559807"}, {"ref": "ymatioun/simple-lightgbm", "kernel_id": "1264082"}, {"ref": "ymatioun/lightgbm-with-aggregate-features", "kernel_id": "1291400"}, {"ref": "cauveri/lightgbm", "kernel_id": "1487719"}, {"ref": "cauveri/xgboost-forecast", "kernel_id": "1482463"}, {"ref": "obrienmitch94/forecast-analysis", "kernel_id": "1657248"}, {"ref": "basjacob17/time-series-data-visualization", "kernel_id": "1295606"}, {"ref": "kowaalczyk/lstm-with-convolutions", "kernel_id": "1337890"}, {"ref": "linweicheng666/store-item", "kernel_id": "1632304"}, {"ref": "linweicheng666/kernelfe2db02bf0", "kernel_id": "1632175"}, {"ref": "leflal/keeping-it-simple-but-no-simpler", "kernel_id": "1806561"}, {"ref": "rezas26/simple-keras-starter", "kernel_id": "1263051"}, {"ref": "eortiz/neural-network-forecast", "kernel_id": "1284372"}, {"ref": "brwalk/nnetar", "kernel_id": "1632147"}, {"ref": "brwalk/tbats-forecast", "kernel_id": "1591539"}, {"ref": "jesussantiago/ppp-it", "kernel_id": "1569574"}, {"ref": "rafdub/home-made-arima", "kernel_id": "1382521"}, {"ref": "rajveer7470/lbg-rules-baseline", "kernel_id": "1287835"}, {"ref": "tandonarpit6/store-item-demand-forecasting-challenge-fbprophet", "kernel_id": "1566645"}, {"ref": "piotrkowalik/xbgoost-with-means", "kernel_id": "1263850"}, {"ref": "zfreddy/visualization-for-seasonal-impact", "kernel_id": "1324826"}, {"ref": "roigoujat/store-item-forecasting-submission", "kernel_id": "1230703"}, {"ref": "chandanadiga/store-item-demand-visualisation", "kernel_id": "1298461"}, {"ref": "natedi/barebones-fast-ai", "kernel_id": "1491345"}, {"ref": "enolac5/time-series-arima-dnn-xgboost-comparison", "kernel_id": "1624216"}, {"ref": "praymond/eda-of-total-sales", "kernel_id": "1590832"}, {"ref": "swaroopsagar/individual-store-item", "kernel_id": "1514434"}, {"ref": "swaroopsagar/sales-prediction-2", "kernel_id": "1560653"}, {"ref": "lysimon/neuralnetworkavg", "kernel_id": "1426063"}, {"ref": "magischertrompeter/some-tests-with-the-forecast-package", "kernel_id": "1393910"}, {"ref": "jefferywong0f23/prophet-success", "kernel_id": "1785468"}, {"ref": "monthepp/store-item-demand-forecasting-challenge", "kernel_id": "1509059"}, {"ref": "gabrielcidral/predicting-sales", "kernel_id": "1594190"}, {"ref": "jomisilfe/midterm-i", "kernel_id": "2024665"}, {"ref": "jomisilfe/prophet-model", "kernel_id": "2026385"}, {"ref": "mhlee2907/time-series-forecasting-techniques", "kernel_id": "2345667"}, {"ref": "sachin16495/kernel8d37944408", "kernel_id": "2857433"}, {"ref": "dimitreoliveira/deep-learning-for-time-series-forecasting", "kernel_id": "2482024"}, {"ref": "lisaphillips06/gts-submission", "kernel_id": "2018458"}, {"ref": "lisaphillips06/hts-submission", "kernel_id": "2018322"}, {"ref": "lisaphillips06/tbats-submission", "kernel_id": "2018795"}, {"ref": "nick1814/prophet-tbats", "kernel_id": "2004619"}, {"ref": "yasmino/arima", "kernel_id": "2227465"}, {"ref": "emily2008/store-item-forecast-with-eda", "kernel_id": "2904220"}, {"ref": "santibermejo/prophet-for-demand-forecasting", "kernel_id": "2536737"}, {"ref": "kawashun/yamashi", "kernel_id": "2476525"}, {"ref": "dineshmk594/store-quantity-prediction-time-series", "kernel_id": "2142726"}, {"ref": "tobiasrummelsberger/prediction-of-sales-ml-vs-arima", "kernel_id": "2900481"}, {"ref": "mike603/kerneld95857ebb8", "kernel_id": "2012969"}, {"ref": "beebopjones/bleepblop-prophet-model", "kernel_id": "2020103"}, {"ref": "rlukaszewski/fork-of-kfolding-xgbmodel", "kernel_id": "2419226"}, {"ref": "mnds18/simple-xgboost", "kernel_id": "2142494"}, {"ref": "shivamsarawagi/demandforecast", "kernel_id": "2603414"}, {"ref": "dharit/xgboost-2", "kernel_id": "3116458"}, {"ref": "varadshah72/kernelf887835a0b", "kernel_id": "3425181"}, {"ref": "zc944376823/how-to-use-sarimax", "kernel_id": "3786910"}, {"ref": "zc944376823/light-gbm-demand-forecasting", "kernel_id": "3786912"}, {"ref": "akumaldo/time-series-eda-and-simple-lgb-cat-model", "kernel_id": "3705436"}, {"ref": "nehapawar/demand-forecasting-using-linear-regression", "kernel_id": "4143316"}, {"ref": "alexmaldonado/forecast1", "kernel_id": "4038443"}, {"ref": "songjaewon/kernelf4b266d684", "kernel_id": "4556246"}, {"ref": "imranahmadqureshi/store-script", "kernel_id": "4557235"}, {"ref": "octour/my-solution", "kernel_id": "4143810"}, {"ref": "slivka83/eda-futures-lightgbm-catboost", "kernel_id": "4294117"}, {"ref": "marcosazvdo/sarimax-test", "kernel_id": "4296130"}, {"ref": "dojikag/kernel5dccc603d0", "kernel_id": "4593399"}, {"ref": "mohder/time-series", "kernel_id": "4047838"}, {"ref": "anitaksiezak/prognozowanie-zapotrzebowania-na-produkty-projekt", "kernel_id": "4358452"}, {"ref": "zohaibmaqbool/store-item-demand-forecasting-script", "kernel_id": "4557646"}, {"ref": "durgaprasad64/arima-method-for-forecasting-product-sales", "kernel_id": "4950436"}, {"ref": "abisheksrivastav/store-item-demand-forecasting-challenge", "kernel_id": "5339007"}, {"ref": "lijiaxiang/stacking", "kernel_id": "5330480"}, {"ref": "lijiaxiang/local-validation", "kernel_id": "5327362"}, {"ref": "riemann1859/lasso-recursivestrategy1", "kernel_id": "5370826"}, {"ref": "apmonisha08/sarima", "kernel_id": "5080344"}, {"ref": "apmonisha08/tslm-r-regression-arima", "kernel_id": "5154773"}, {"ref": "apmonisha08/sarimax", "kernel_id": "5368888"}, {"ref": "apmonisha08/tbats-r", "kernel_id": "5392297"}, {"ref": "shravankumar9892/timeseriesforecasting", "kernel_id": "5812421"}, {"ref": "mohder/homeserve-static-surge-pricing", "kernel_id": "5384274"}, {"ref": "pradipmd/machine-learning-algorithms-for-titanic-dataset", "kernel_id": "5583212"}, {"ref": "pradipmd/store-item-demand-forecasting-using-gradient-boost", "kernel_id": "5601456"}, {"ref": "ybabakhin/errored-kaggledays-china-time-series", "kernel_id": "6281394"}, {"ref": "holoong9291/store-item-demand-predict-with-arima", "kernel_id": "6999499"}, {"ref": "holoong9291/store-item-demand-predict-with-prophet", "kernel_id": "6999513"}, {"ref": "wafadje/spark-and-deep-learning-rnn-keras-databricks", "kernel_id": "6722752"}, {"ref": "soglaza/sebastian-s-store-item-forecast", "kernel_id": "6107137"}, {"ref": "greentearus/a-wild-pack-of-linear-regressions", "kernel_id": "6762810"}, {"ref": "jhihanyou/kernel339e028258", "kernel_id": "6367138"}, {"ref": "feapri/kaggle-store-demand-forecasting-numpy-polyfit", "kernel_id": "6306239"}, {"ref": "harikakanthi7/kernel5f08b16918", "kernel_id": "7924269"}, {"ref": "davidmsc/data-exploration", "kernel_id": "7997248"}, {"ref": "arifali77/deep-learning-for-time-series-forecasting-sales", "kernel_id": "7001640"}, {"ref": "bear000777/after-tune", "kernel_id": "7024816"}, {"ref": "cmviall/store-item-demand-forecasting", "kernel_id": "7665959"}, {"ref": "davidmsc/arima-and-sarima", "kernel_id": "8092044"}, {"ref": "hassanamin/deep-learning-for-time-series-forecasting", "kernel_id": "8289431"}, {"ref": "lajari/store-item-demand-forecast", "kernel_id": "8620250"}, {"ref": "simonstochholm/store-item-forecast-first-attempt-at-a-notebook", "kernel_id": "8474385"}, {"ref": "sakshamkulshrestha/sales-forecase", "kernel_id": "8402329"}, {"ref": "darwinwin/h2o-automl-regression", "kernel_id": "8098925"}, {"ref": "ibrahimsobh/demandforecastdnnlstm", "kernel_id": "9608091"}, {"ref": "caneek/submit", "kernel_id": "9735614"}, {"ref": "caneek/submit2", "kernel_id": "9734665"}, {"ref": "alexeyzinzyuk/demand-prediction", "kernel_id": "9931267"}, {"ref": "yaraamin/demand-forecast-lstm-xgboost", "kernel_id": "9572328"}, {"ref": "devendratapdia/store-item-demand-forecast", "kernel_id": "9591832"}, {"ref": "alexandervolkov/deep-learning-for-time-series-forecasting", "kernel_id": "9310910"}, {"ref": "smritisingh1997/demand-forecasting", "kernel_id": "9436378"}, {"ref": "paulegorov/iterative-linear-regression", "kernel_id": "9007738"}, {"ref": "christianthieme/attempt-2", "kernel_id": "9380172"}, {"ref": "chandra03/how-to-use-sarimax-and-arimax", "kernel_id": "9141942"}, {"ref": "madamemohn/store-forecast-with-seasonality", "kernel_id": "9245006"}, {"ref": "vernondsouza123/store-item-demand-forecasting-fb-prophet", "kernel_id": "9936264"}, {"ref": "soumikbanerjee91/absolute-starter-sgdregression", "kernel_id": "9208312"}, {"ref": "lancezhange/naive-version", "kernel_id": "10114515"}, {"ref": "gebeile/keras-lstm-predict", "kernel_id": "10612372"}, {"ref": "shubham505/demystify-forecasting-with-statistical-models", "kernel_id": "10064546"}, {"ref": "blaxkdolphin/demandforecasting-pyspark-regression", "kernel_id": "10794562"}, {"ref": "blaxkdolphin/forecasting-pyspark-encoder-decoder-lstms", "kernel_id": "10776926"}, {"ref": "doncovkonstantin/prophet-vs-lstm-for-time-series-forecasting", "kernel_id": "10839682"}, {"ref": "chaitu037/df-practise", "kernel_id": "10642430"}, {"ref": "shimomatomoya/store-item-demand-forecasting", "kernel_id": "10359012"}, {"ref": "khwlaali/store-item-demand-forecasting-by-rf-model", "kernel_id": "10233120"}, {"ref": "ahmadfatani/forecasting-using-random-forest", "kernel_id": "10230327"}, {"ref": "doaaalsenani/predict-3-months-of-sales-by-using-random-forest", "kernel_id": "10234941"}, {"ref": "mayurgupta47/sales-forecasting-facebook-prophet", "kernel_id": "10946663"}, {"ref": "maksimbahdanchyk/demand-forecatsing-draft", "kernel_id": "10849670"}, {"ref": "alexdance/store-item-combination-part-3-month-and-arima", "kernel_id": "10947107"}, {"ref": "alexdance/store-item-combination-part-4-xg-boost-by-mnth", "kernel_id": "10947650"}, {"ref": "alexdance/store-item-combination-part-6-deep-learning", "kernel_id": "10947988"}, {"ref": "alexdance/store-item-combination-part-2-main-modelling", "kernel_id": "10946698"}, {"ref": "alexdance/store-item-combination-part-5-weighed-average", "kernel_id": "10947837"}, {"ref": "alexdance/store-item-combination-part-1-eda", "kernel_id": "10772533"}, {"ref": "shayanzamani/store-item-demand-forecasting-stacked-lstm", "kernel_id": "10808421"}, {"ref": "mineshjethva/graph-timeseries-forecasting", "kernel_id": "11768412"}, {"ref": "shivamkc/forecasting-sales-store-item", "kernel_id": "11218463"}, {"ref": "halimbeyden/mynotebook", "kernel_id": "11857915"}, {"ref": "ashwinmahender/kernel3e3f42a364", "kernel_id": "11129808"}, {"ref": "tdekate/demand-forecasting", "kernel_id": "11399149"}, {"ref": "pg1007/time-series-analysis-prophet", "kernel_id": "11821423"}, {"ref": "aastha124/xgboost-hyperparameter-tuning", "kernel_id": "11678729"}, {"ref": "waiyankhinemyo/time-series-analysis-xgboost", "kernel_id": "11190420"}, {"ref": "jonpeters3/demand-analysis", "kernel_id": "12599890"}, {"ref": "hmoritajp718/intro-to-time-series-forecast", "kernel_id": "12499381"}, {"ref": "akritisehgal/deep-learning", "kernel_id": "12981284"}, {"ref": "gur01052000/101703204-co10", "kernel_id": "12795767"}, {"ref": "andersonwu/notebook3936f6fd03", "kernel_id": "12496045"}, {"ref": "andersonwu/notebook3fa911d872", "kernel_id": "12496109"}, {"ref": "rahulchawla28/notebookc19c7ba945", "kernel_id": "12979367"}, {"ref": "sethhyatt/sample-arima", "kernel_id": "12794606"}, {"ref": "benanderson070/xgboost-submission", "kernel_id": "12805365"}, {"ref": "gracedriggs/store-item-demand", "kernel_id": "12699172"}, {"ref": "sifodhara/time-series-analysis", "kernel_id": "12811459"}, {"ref": "xueweihu/store-demand-forecasting-work", "kernel_id": "12618573"}, {"ref": "austinheath/store-item-demand-forecasting-challenge", "kernel_id": "12869067"}, {"ref": "briancolgrove/notebooka10f412789", "kernel_id": "12600970"}, {"ref": "briancolgrove/notebook59faf4332e", "kernel_id": "12653435"}, {"ref": "noahleavitt/demand-forecasting-nn", "kernel_id": "12832337"}, {"ref": "muskan101703356/coe7-101703356-muskangupta", "kernel_id": "12937377"}, {"ref": "avaniagarwal/101703122-lab-eval-2", "kernel_id": "12955375"}, {"ref": "arnavjain99/coe5-101703100-arnav-jain", "kernel_id": "12971683"}, {"ref": "rakshitrajeshjain/rakshit-dl2", "kernel_id": "12974853"}, {"ref": "vanausloos/eda-prophet-mlp-neural-network-forecasting", "kernel_id": "13245428"}, {"ref": "satyads/auto-regressor-lightgbm-sktime", "kernel_id": "13226420"}, {"ref": "davidkt2/time-series-modeling-with-prophet", "kernel_id": "13573482"}, {"ref": "kuljot2216/demand-prediction", "kernel_id": "13087655"}, {"ref": "saksamagarwal/demand-forecast", "kernel_id": "13062845"}, {"ref": "benanderson070/xgboost-store-forecast-markdown", "kernel_id": "13230834"}, {"ref": "isabelletooley/simple-forecasting-algorithm-with-prophet", "kernel_id": "13389832"}, {"ref": "colsen12/time-series", "kernel_id": "13365604"}, {"ref": "snigdhabhatnagar312/kaggle-challenge2-using-lstm", "kernel_id": "13086866"}, {"ref": "snigdhabhatnagar312/kaggle-challenge-2-using-lstm", "kernel_id": "13087329"}, {"ref": "abhinavjindal2805/deep-learning-lab-eval-2", "kernel_id": "13110252"}, {"ref": "abhinavjindal2805/deep-learning", "kernel_id": "13073520"}, {"ref": "bhavya1007/notebookf25f2638cf", "kernel_id": "13110892"}, {"ref": "gvipul21/vipul-gupta", "kernel_id": "13099347"}, {"ref": "samikshahooda1/101703475-samiksha-coe22", "kernel_id": "13111369"}, {"ref": "samikshahooda1/coe22-101703475-samiksha", "kernel_id": "13078638"}, {"ref": "rohitmohanty1/notebook95a29059ea", "kernel_id": "13086915"}, {"ref": "sidharthchaudhary/notebook0b9e4f1064", "kernel_id": "13110234"}, {"ref": "alketcecaj/predictsales-randomforestregressor", "kernel_id": "14130377"}, {"ref": "rsesha/auto-ts-for-multi-store-and-multi-item", "kernel_id": "14273692"}, {"ref": "rsesha/multi-store-multi-item-with-automated-time-series", "kernel_id": "14398496"}, {"ref": "hancelpv/multiprocessing-comparison", "kernel_id": "14326356"}, {"ref": "bparra94/randomforestregressor", "kernel_id": "14211706"}, {"ref": "dkdevmallya/deep-learning-cnn-lstm-time-series-forecasting", "kernel_id": "14800745"}, {"ref": "somesh24/store-item-demand-forecasting", "kernel_id": "14880074"}, {"ref": "dpmaurya/how-to-use-sarimax", "kernel_id": "14163460"}, {"ref": "maxdizon3/keeping-it-simple-by-xyzt", "kernel_id": "15308618"}, {"ref": "datalet/random-forest-with-feature-engineering", "kernel_id": "15655223"}, {"ref": "pinardogan/time-series-using-lightgbm-with-explanations", "kernel_id": "15743548"}, {"ref": "darrenmcewan/storeitemdemand-1", "kernel_id": "15460105"}, {"ref": "venu04/sales-prediction-using-lstm", "kernel_id": "15678966"}, {"ref": "mruanova/store-item-demand-forecasting-challenge", "kernel_id": "15086976"}, {"ref": "colemantreadwell/notebook25bc7eb5d9", "kernel_id": "15576128"}, {"ref": "jiaqianwang/store-item-demand-forecasting-challenge", "kernel_id": "15031452"}, {"ref": "rahulyadav2881/finallstm", "kernel_id": "15620592"}, {"ref": "ekrembayar/store-item-demand-forecasting-with-lgbm", "kernel_id": "16648645"}, {"ref": "ugness/deep-learning-for-time-series-forecasting", "kernel_id": "16177420"}, {"ref": "sijmathew/sales-prediction", "kernel_id": "16310666"}, {"ref": "rajeshsanu/store-data-visualization", "kernel_id": "16296477"}, {"ref": "testercheong/jh-s-take-home-assignment", "kernel_id": "16836304"}, {"ref": "emmanuelvaldez/various-forecasting-models-in-r", "kernel_id": "16333030"}, {"ref": "mostaashour/simple-keras-starter", "kernel_id": "16511446"}, {"ref": "hikmetsezen/base-model-with-lightgbm-on-demand-forecasting", "kernel_id": "16693121"}, {"ref": "hikmetsezen/blend-boosting-for-best-score-on-demand-forecast", "kernel_id": "16691179"}, {"ref": "sohamkarak/demand-forecast-competion-prophet", "kernel_id": "16724079"}, {"ref": "sohamkarak/demand-forecast-with-prophet", "kernel_id": "16719410"}, {"ref": "mattbrunken/sales-predictions", "kernel_id": "16384792"}, {"ref": "arvindbudh/sunmission", "kernel_id": "17993362"}, {"ref": "natalyakolomina/simple-keras-starter", "kernel_id": "17461048"}, {"ref": "suganyarobert/time-series-analysis-with-deep-learning-for-sales", "kernel_id": "17682095"}, {"ref": "shreyasajal/pytorch-forecasting-for-time-series-forecasting", "kernel_id": "17365135"}, {"ref": "maximrojkov/demand-forecast", "kernel_id": "17431692"}, {"ref": "cancan077/kc-lag-shopping-210516", "kernel_id": "17008979"}, {"ref": "mikhailpyatkov/demand-forecast", "kernel_id": "17462720"}, {"ref": "tyukovigor/notebook7dba532f30", "kernel_id": "17461515"}, {"ref": "jasonjeong7/opsplease", "kernel_id": "17908326"}, {"ref": "konradb/ts-2-linear-vision", "kernel_id": "18607423"}, {"ref": "khoatrandang/submission", "kernel_id": "18674872"}, {"ref": "akashreddy777/notebookdf8d1c3716", "kernel_id": "18809993"}, {"ref": "nimishgupta1012/store-item-demand-complete-analysis", "kernel_id": "18704154"}, {"ref": "bbaabbaakk/seasonal-decompose-acf-pacf-adfuller-arima-sarimax", "kernel_id": "18034837"}, {"ref": "chenyangwang1/simple-xgb-12-925", "kernel_id": "19456807"}, {"ref": "akifbykl/store-demand-item-full-script", "kernel_id": "19013677"}, {"ref": "manishkumar77/preparing-dataset", "kernel_id": "19507052"}, {"ref": "semihuslu/demand-forecasting-lightgbm", "kernel_id": "19819304"}, {"ref": "haticeebraralc/demand-forecasting", "kernel_id": "19220409"}, {"ref": "rabiako/store-item-demand-forecasting-with-lgbm", "kernel_id": "19088795"}, {"ref": "zlfnurdilaradodu/notebook14747baead", "kernel_id": "19020940"}, {"ref": "sevvalyurtekin/submission-demand-forecasting", "kernel_id": "19120447"}, {"ref": "surabhibhuyan/store-item-demand-forecasting-surabhi-bhuyan", "kernel_id": "20844473"}, {"ref": "bahaulug/demand-forecasting", "kernel_id": "21667992"}, {"ref": "esaeki/lightgbm-timeseries-forecast", "kernel_id": "21115627"}, {"ref": "yuejinzhao/deep-learning-for-time-series-forecasting", "kernel_id": "21687138"}, {"ref": "salmaneunus/store-item-demand-forecasting", "kernel_id": "21449689"}, {"ref": "nurlan91/demand-forecasting-by-using-lightgbm", "kernel_id": "21807079"}, {"ref": "nafizaltay/demand-forecasting-with-lgbm-store-item-based", "kernel_id": "21810984"}, {"ref": "dilekbarutu/demand-forecasting-with-lgbm", "kernel_id": "21737416"}, {"ref": "pathanamjadkhan/timeseries-eda-fe-lightbgmmode", "kernel_id": "21607079"}, {"ref": "pinaroner/time-series-demand-forecasting", "kernel_id": "21783018"}, {"ref": "halimedogan/store-item-demand-forecasting", "kernel_id": "21675082"}, {"ref": "graisybiswal/demand-forecasting-in-supply-chain-analytics", "kernel_id": "21198459"}, {"ref": "ezgiorhan/demand-forecasting-time-series", "kernel_id": "21737257"}, {"ref": "mehmettuzcu/time-series-modelling-with-lgbm", "kernel_id": "21782679"}, {"ref": "minhajulhoque/practical-guide-to-encoder-decoder-lstm-network", "kernel_id": "21305050"}, {"ref": "mirach21/store-item-demand-notebook", "kernel_id": "21412183"}, {"ref": "paulguillan/challenge-data-science-pr-diction-finale", "kernel_id": "21696513"}, {"ref": "paulguillan/challenge-start-and-go-data-science", "kernel_id": "21742827"}, {"ref": "fedyakov/demand-forecasting-baseline-with-catboost", "kernel_id": "22628730"}, {"ref": "naim99/store-item-demand-forecasting", "kernel_id": "22891963"}, {"ref": "atilaysamiloglu/demand-forecasting", "kernel_id": "22628837"}, {"ref": "nejatzileli/discovering-and-gaining-insights", "kernel_id": "22799572"}, {"ref": "snehalsaini/store-item-demand-forecasting-f3ffe0", "kernel_id": "23849132"}, {"ref": "snehalsaini/store-item-demand-forecasting", "kernel_id": "23846970"}, {"ref": "gitanjali1425/deep-learning-for-time-series-forecasting", "kernel_id": "23634737"}, {"ref": "konradb/ts-10-validation-methods-for-time-series", "kernel_id": "24697571"}, {"ref": "mathnery/tft-datah-final-done", "kernel_id": "24934505"}, {"ref": "realistic8997/220130-week-1", "kernel_id": "24242833"}, {"ref": "drserkankaya/demand-forecasting-kaggle-challenge", "kernel_id": "24910887"}, {"ref": "baristokatloglu/demand-forecasting-lightgbm", "kernel_id": "24699657"}, {"ref": "buseyldrm/demand-forecasting", "kernel_id": "24831564"}, {"ref": "arkaradeniz/cagri-demand-forecasting", "kernel_id": "24615468"}, {"ref": "cembkmaz/store-item-demand-forecasting-competition", "kernel_id": "24675084"}, {"ref": "bhavinmoriya/ts-2-linear-vision", "kernel_id": "24834083"}, {"ref": "sameeksharaj/auto-regressor-lightgbm-sktime", "kernel_id": "24933576"}, {"ref": "sebnemgurek/store-item-demand-forecasting", "kernel_id": "24855746"}, {"ref": "omerparlak/demand-forecasting-with-lightgbm", "kernel_id": "24587500"}, {"ref": "blirinddanjolli/special-store-item-demand-forecasting", "kernel_id": "24846747"}, {"ref": "shubham219/only-lags-nothing-else", "kernel_id": "25379084"}, {"ref": "mishki/temporary-copy-ts-2-linear-vision", "kernel_id": "25704436"}, {"ref": "mishki/time-series-demand-forecast-arma-prophet", "kernel_id": "25375823"}, {"ref": "enesdilsiz/time-series-forecasting-with-lightgbm", "kernel_id": "25520562"}, {"ref": "cemsari/store-item-demand-different-algorithm-compare-mae", "kernel_id": "25160052"}, {"ref": "zlfnurdilaradodu/fork-of-notebook14747baead", "kernel_id": "26004635"}, {"ref": "shabnammaheen/productreview", "kernel_id": "26642858"}, {"ref": "papaji89989/eda-prophet-mlp-neural-network-forecasting", "kernel_id": "26814447"}, {"ref": "samyabose/demand-forecasting-using-lstm", "kernel_id": "26665023"}, {"ref": "alifilhammadani/store-item-demand-forecasting-challenge-prophet", "kernel_id": "27131860"}, {"ref": "meetnagadia/forecasting-challenge", "kernel_id": "27247638"}, {"ref": "eminecerit/demand-forecasting-with-lightgbm", "kernel_id": "27448641"}, {"ref": "gamzenuroban/time-series", "kernel_id": "27344514"}, {"ref": "rsesha/multi-store-multi-item-lb-score-13", "kernel_id": "28234892"}, {"ref": "habibmrad1983/eda-prophet-mlp-neural-network-forecasting", "kernel_id": "28601035"}, {"ref": "sahasprajapati/store-item-forecasting", "kernel_id": "28889699"}, {"ref": "pashikantipranith/my-first-time-series-comp-added-prophet", "kernel_id": "28178088"}, {"ref": "pashikantipranith/mindsdb-forecasting", "kernel_id": "28159522"}, {"ref": "tirthjadvani/keeping-it-simple-by-xyzt", "kernel_id": "28039495"}, {"ref": "canerficici/store-item-demand-forecasting-challenge", "kernel_id": "29989624"}, {"ref": "tangtunyu/deep-learning-for-time-series-forecasting", "kernel_id": "29532231"}, {"ref": "chidubemndukwe/ml-model-forcaster-upgini", "kernel_id": "29456188"}, {"ref": "nejatzileli/store-item-forecasting-score-14-40", "kernel_id": "29988942"}, {"ref": "badl071/forecasting-future-sales-using-machine-learning", "kernel_id": "30282901"}, {"ref": "drindeng/forecasting-future-sales-using-xgbreg-r2-0-98", "kernel_id": "31941192"}, {"ref": "kenseimatsushima/code-demandforecasting-1", "kernel_id": "31412246"}, {"ref": "kenseimatsushima/code-demandforecasting-1-3-1", "kernel_id": "31538516"}, {"ref": "kenseimatsushima/code-demandforecasting-1-1", "kernel_id": "31515693"}, {"ref": "kenseimatsushima/code-demandforecasting-2-2", "kernel_id": "31517482"}, {"ref": "kenseimatsushima/code-demandforecasting-2", "kernel_id": "31509750"}, {"ref": "kenseimatsushima/code-demandforecasting-2-1", "kernel_id": "31513924"}, {"ref": "phnguynthm/code-demandforecasting-1", "kernel_id": "31750204"}, {"ref": "jessicasoares/time-series-forecasting-with-lightgbm", "kernel_id": "32856739"}, {"ref": "andrewwira7/group-9-code", "kernel_id": "32511158"}, {"ref": "manasimurarka/q4-q5", "kernel_id": "32555452"}, {"ref": "zhikchen/forecasting-prediction-using-lightgbm-model", "kernel_id": "32438690"}, {"ref": "yashrohilla/q4-forecast", "kernel_id": "32553057"}, {"ref": "yashrohilla/store-item-forecasting-submission", "kernel_id": "32553340"}, {"ref": "yashrohilla/feature-engineering-lgb-model", "kernel_id": "32554363"}, {"ref": "yashrohilla/q4-5-final-file", "kernel_id": "32555694"}, {"ref": "drindeng/store-item-demand-forecasting-using-xgbreg-sub", "kernel_id": "32069793"}, {"ref": "yaseminturker/predicting-future-sales-using-lightgbm-regression", "kernel_id": "32024470"}, {"ref": "yaseminturker/predicting-item-based-future-sales-using-lgbmreg", "kernel_id": "32102262"}, {"ref": "saabbhadar100/store-item-demands", "kernel_id": "33175431"}, {"ref": "drindeng/store-item-dem-forecast-with-deep-neural-network", "kernel_id": "33026076"}, {"ref": "liqiang2022/xgboost-for-sales-forecasting", "kernel_id": "33952284"}, {"ref": "abubakarabdulkadir/multistore-sales-prediction", "kernel_id": "34384872"}, {"ref": "emineyetm/using-machine-learning-for-time-series-forecasting", "kernel_id": "34871440"}, {"ref": "sushantpatil04/deep-learning-for-time-series-forecasting", "kernel_id": "34077219"}, {"ref": "gorkemaksoy/time-series-forecasting", "kernel_id": "34649481"}, {"ref": "sherpalakpa18/sales-forecasting-using-lr-rf-and-xgboost", "kernel_id": "35923877"}, {"ref": "sanandachowdhury/deep-learning-for-time-series-forecasting", "kernel_id": "35847745"}, {"ref": "vienniee/linear", "kernel_id": "36586802"}, {"ref": "criswu768/eda-prophet-winning-solution-3-0", "kernel_id": "36206863"}, {"ref": "junweiiiiiiiiiiiii/notebookf4f223d418", "kernel_id": "36313435"}, {"ref": "nazmuddhohaansary/hdfc-inference", "kernel_id": "38244307"}, {"ref": "nazmuddhohaansary/hdfc-submission-notebook", "kernel_id": "38248183"}, {"ref": "nazmuddhohaansary/hdfc-data-eda", "kernel_id": "38007441"}, {"ref": "nothingtochere/lgbm-1", "kernel_id": "38522903"}, {"ref": "nothingtochere/notebook4d7d117c79", "kernel_id": "38512674"}, {"ref": "nothingtochere/notebook7758480433", "kernel_id": "38450940"}, {"ref": "sosoyeong/mlp-cnn-lstm-cnn-lstm", "kernel_id": "39959376"}, {"ref": "evagian/multiple-timeseries-forecasting", "kernel_id": "40062724"}, {"ref": "kavyageetha/arima-method-for-forecasting-product-sales", "kernel_id": "40558251"}, {"ref": "thinguynquc/hackathon-zlp", "kernel_id": "40078571"}, {"ref": "sparshbhawsar/demandforecast", "kernel_id": "41845044"}, {"ref": "receplyasolu/time-series-model-with-lightgbm", "kernel_id": "41629393"}, {"ref": "nathanaelaxel/notebook-store-item-demand-forecasting", "kernel_id": "42821841"}, {"ref": "gopalkumar0/forecasting-future-sales-using-machine-learning", "kernel_id": "42183251"}, {"ref": "sinanimek/store-item-demand-forecasting-challenge", "kernel_id": "42675630"}, {"ref": "burcakaydn/store-item-demand-forcasting", "kernel_id": "42555410"}, {"ref": "jliamartinez/store-item-demand-forecasting", "kernel_id": "42364667"}, {"ref": "yiqwantang/item-demand-xgboost", "kernel_id": "43558206"}, {"ref": "yiqwantang/item-demand-sarima", "kernel_id": "43633930"}, {"ref": "lamkaiyi/fork-of-notebooke68ca1b441", "kernel_id": "44783902"}, {"ref": "lauboonwui/sarimax", "kernel_id": "44391088"}, {"ref": "qkm2000/store-demand-xgboost", "kernel_id": "44552549"}, {"ref": "qkm2000/store-demand-mlp-cnn", "kernel_id": "44303575"}, {"ref": "sidahmedboudaoud/store-item-demand-forecasting", "kernel_id": "44371986"}, {"ref": "edisonkoh/testing", "kernel_id": "44775885"}, {"ref": "jareltan/jarel-holt-winters", "kernel_id": "44745658"}, {"ref": "matthewheaton/store-item-demand-using-facebook-prophet", "kernel_id": "45655706"}, {"ref": "georgechalk/store-item-demand-forecasting", "kernel_id": "45541979"}, {"ref": "jareltan/forecasting-with-lightgbm", "kernel_id": "45486146"}, {"ref": "gguguuggugug/lstm-demand-forecasting", "kernel_id": "45289346"}, {"ref": "seherbal/demand-forecasting-time-series", "kernel_id": "46939085"}, {"ref": "matthewheaton/item-demand-with-boosting-in-tidymodels", "kernel_id": "46202759"}, {"ref": "yiqwantang/store-item-polyfit-showcase", "kernel_id": "46344544"}, {"ref": "tintra/lstm-final", "kernel_id": "46968107"}, {"ref": "jareltan/meta-model", "kernel_id": "46290126"}, {"ref": "sarahaljumaiah/randomforest-linearreg", "kernel_id": "46884168"}, {"ref": "hayamousa/linearreg-xgboost", "kernel_id": "46854366"}, {"ref": "amandashaffer/practice-notebook", "kernel_id": "47165792"}, {"ref": "abrown55/item-demand-boosted-model-tidymodels", "kernel_id": "47167627"}, {"ref": "jacobsmith22/store-item-preds-v1", "kernel_id": "47160827"}, {"ref": "lucydornon/itemdemandboosted", "kernel_id": "47165807"}, {"ref": "xumingyuan/xgb-time-series-forecasting", "kernel_id": "48252305"}, {"ref": "ckaylol/darts-with-deep-learning-models", "kernel_id": "49127129"}, {"ref": "gunashekar123/notebook701c2ecbc5", "kernel_id": "49260104"}, {"ref": "merveoztiryaki/demand-forecasting", "kernel_id": "50570849"}, {"ref": "arshiyakishore/forecasting", "kernel_id": "50734716"}, {"ref": "vivekmotwani1410/demand-forecasting-arima-sariama-sarimax", "kernel_id": "51289642"}, {"ref": "rauni98/tsf-prophet", "kernel_id": "52085033"}, {"ref": "okandeniz/store-item-demand-forecasting", "kernel_id": "54854891"}, {"ref": "tintra/time-series", "kernel_id": "54626189"}, {"ref": "csmohamedayman/tsf-numc-store-item-demand-forecasting", "kernel_id": "55488422"}, {"ref": "fifthfromtheright/arima-w-fourier", "kernel_id": "55480746"}, {"ref": "aliceeunjinlee/store-item-demand-forecasting-05-03-05-10", "kernel_id": "56203672"}, {"ref": "leptina/time-series-forecasting-with-lightgbm", "kernel_id": "56979546"}, {"ref": "delikansapmaz/store-item-demand-forecasting", "kernel_id": "57428710"}, {"ref": "rafaelstojoao/notebook9810189e82", "kernel_id": "58915651"}, {"ref": "ewertonlimadeandrade/notebook4adeb63ab9", "kernel_id": "58945989"}, {"ref": "davidcotrim/store-itens-forecast-late-submission-by-david", "kernel_id": "58844615"}, {"ref": "abnersimoes/notebook9565b5d183", "kernel_id": "58928237"}, {"ref": "vinivianna/store-item-demand-forecasting-challenge-i2a2vini", "kernel_id": "58600907"}, {"ref": "ricardocroce/fork-of-notebooka917ea02e", "kernel_id": "58963529"}, {"ref": "ricardocroce/notebookv1", "kernel_id": "58608385"}, {"ref": "rubensoriola/notebookaf1241d9ab", "kernel_id": "58950809"}, {"ref": "blackarrow005/notebookf35d4cc081", "kernel_id": "59016529"}, {"ref": "allanacardoso/notebook2fc371d188", "kernel_id": "59032410"}, {"ref": "tamaraabuhawele/store-sales-time-series-forecasting", "kernel_id": "59059203"}, {"ref": "deividsena/notebookaf8bd39c47", "kernel_id": "59036017"}, {"ref": "danielramon55/fork-of-notebooka917ea02e", "kernel_id": "59036428"}, {"ref": "kholilasjaduddin/deep-learning-for-time-series-forecasting", "kernel_id": "59645118"}, {"ref": "imvishesh/notebookb3cac2711d", "kernel_id": "61465982"}, {"ref": "quangdoan/light-gbm-demand-forecasting", "kernel_id": "61900071"}, {"ref": "berkayozturkx/store-item-demand-forecasting-with-lightgbm", "kernel_id": "61137835"}, {"ref": "repk1124/notebookb07fdada13", "kernel_id": "63388290"}, {"ref": "bengisuylmaz/demand-forecasting", "kernel_id": "63102002"}, {"ref": "kursatdinc/store-item-demand-forecasting-time-series-with-ml", "kernel_id": "63976285"}, {"ref": "manyasainii/store-item-demand-forecasting", "kernel_id": "64086192"}, {"ref": "hyunseokc/fileonly2", "kernel_id": "65531377"}, {"ref": "hyunseokc/file-only", "kernel_id": "65482434"}, {"ref": "bsrsrc/demand-forecasting", "kernel_id": "65717558"}, {"ref": "metline/demand-forecasting", "kernel_id": "66117805"}, {"ref": "matthuan/store-item-demand-sarima-sarimax-models", "kernel_id": "67748473"}, {"ref": "kewttun/lightgbm", "kernel_id": "67314464"}, {"ref": "kewttun/arima-lstm", "kernel_id": "67529288"}, {"ref": "kewttun/plotly-eda", "kernel_id": "67637819"}, {"ref": "tamkadin/time-series-forecasting-model-report-week-5", "kernel_id": "67445422"}, {"ref": "kewttun/lstmrnn", "kernel_id": "68409390"}, {"ref": "kewttun/arimax", "kernel_id": "68448187"}, {"ref": "tamkadin/time-series-forecasting-model-ver2-week6", "kernel_id": "68245541"}, {"ref": "poojahariramsingh/deep-learning-for-time-series-forecasting", "kernel_id": "69041812"}, {"ref": "kewttun/lstmforecasting", "kernel_id": "69905111"}, {"ref": "kewttun/lgbmforecasting", "kernel_id": "69905810"}, {"ref": "kewttun/correlation-and-similarity", "kernel_id": "69800894"}, {"ref": "arthurarstamyan/ts-forecasting-from-nn-to-prophet", "kernel_id": "69917373"}, {"ref": "dineshkottakota/forecasting-future-sales-using-machine-learning", "kernel_id": "69850328"}, {"ref": "rookiejcy/store-item-demand-forecasting-challenge-deepar", "kernel_id": "69218054"}, {"ref": "adariyashwanth/cnn-lstm-for-stock-prediction", "kernel_id": "70815415"}, {"ref": "ysairaajpatro/deep-learning-cnn-lstm-time-series-forec-328e3e", "kernel_id": "70475722"}, {"ref": "ysairaajpatro/cnn-lstm-for-stock-pred-dynamic-normalisation", "kernel_id": "71160792"}, {"ref": "rebekahwebb/itemdemand", "kernel_id": "71375251"}, {"ref": "pavansaigoud/forecasting", "kernel_id": "71903245"}, {"ref": "cccxxxs/lstm-for-demand-forecasting", "kernel_id": "72834279"}, {"ref": "ysairaajpatro/cnn-lstm-for-stock-pred-distance-30", "kernel_id": "72397318"}, {"ref": "ysairaajpatro/cnn-lstm-for-weeky-freq-distance-1", "kernel_id": "72581214"}, {"ref": "brittanymeier3/store-item-boost", "kernel_id": "72193357"}, {"ref": "annafellars/store-item", "kernel_id": "72118978"}, {"ref": "callielunt/storeitem", "kernel_id": "72072205"}, {"ref": "callielunt/lightgbm-storeitem", "kernel_id": "72261168"}, {"ref": "connorgibb/connoritemdemand", "kernel_id": "72285549"}, {"ref": "ysairaajpatro/cnn-lstm-for-stock-pred-lgbm-nifty-midcap-50", "kernel_id": "73282423"}, {"ref": "ysairaajpatro/cnn-lstm-for-stock-pred-lgbm-bank-nifty", "kernel_id": "73275038"}, {"ref": "panjinhua/notebook13da76353c", "kernel_id": "73251165"}, {"ref": "ismaileladraoui/accelerate-deep-learning-time-series-forecasting", "kernel_id": "73669060"}, {"ref": "evanyoung7/deep-learning-for-time-series-forecasting", "kernel_id": "74494979"}, {"ref": "sonualexantony/store-item-demand-forecast-competition", "kernel_id": "74902634"}, {"ref": "amostobertn/demand-forecasting-lbgm-amos", "kernel_id": "74736856"}, {"ref": "csmohamedayman/eda-tsa-store-item-demand-forecasting", "kernel_id": "75405199"}, {"ref": "kamaljit/demand-demand-forcasting-lstm", "kernel_id": "75291917"}, {"ref": "kamaljit/store-sales-forecasting-lstm", "kernel_id": "75367623"}, {"ref": "kamaljit/store-demand-forecast-challanges", "kernel_id": "75366711"}, {"ref": "muhammethamzayavuz/timeseriesmachinelearning", "kernel_id": "75996832"}, {"ref": "sirajudaygiri/demand-forecasting", "kernel_id": "75380487"}, {"ref": "dilekdd/demand-forecasting-challenge-time-series", "kernel_id": "79113644"}, {"ref": "koyatamari/ex08a1", "kernel_id": "80897386"}, {"ref": "kader26/sales-forecasting-xgboost-eda-feature-engineering", "kernel_id": "82109834"}, {"ref": "itzmahan/sales-demand-forecasting-using-xgboost", "kernel_id": "82554225"}, {"ref": "swessoc/demand-forecasting-store-item", "kernel_id": "83829939"}, {"ref": "harpreetsoni/store-item-demand-sarima-sarimax-models", "kernel_id": "83177219"}, {"ref": "dotohoi/notebooke9ae3ae587", "kernel_id": "83745802"}, {"ref": "tsuyoshifukushima/2025aai-09exa", "kernel_id": "84975439"}, {"ref": "rukuri/notebookf899b8853d", "kernel_id": "85029183"}, {"ref": "unokoki/notebook1296a1165d", "kernel_id": "85183528"}, {"ref": "kyosuke0/notebook474dcffb19", "kernel_id": "85191785"}, {"ref": "kyosuke0/store-item", "kernel_id": "85189464"}, {"ref": "bilgingunes/store-item-demand-forecasting-challenge", "kernel_id": "85446613"}, {"ref": "yuukikawai/notebookc43ab016ba", "kernel_id": "85133177"}, {"ref": "sheepsleep/2025aai-09exa", "kernel_id": "85213595"}, {"ref": "suzukitakumi/2025aai-09exa", "kernel_id": "85106767"}, {"ref": "rikiuchida/notebookb21c7c0a7d", "kernel_id": "85211143"}, {"ref": "dotohoi/2025aai-09exa", "kernel_id": "85210956"}, {"ref": "snd072/2025aai-09exa", "kernel_id": "85203391"}, {"ref": "komody/2025aai-08exa", "kernel_id": "85136157"}, {"ref": "hbugrae/time-series-forecasting-with-lags-rolling-means", "kernel_id": "85112070"}, {"ref": "waymanblue/09exa-2", "kernel_id": "85136699"}, {"ref": "waymanblue/09exa", "kernel_id": "85135245"}, {"ref": "seowataru/08-kadai", "kernel_id": "85177689"}, {"ref": "mizzn0/2025aai-09exa", "kernel_id": "85194814"}, {"ref": "mizzn0/2025aai-09exa2", "kernel_id": "85202628"}, {"ref": "pigpork/notebook89a7fd09f2", "kernel_id": "85177651"}, {"ref": "yamauchiyuta0718/2025aai-09exa-24rmd", "kernel_id": "85034958"}, {"ref": "ssssmd/notebook38b1deab44", "kernel_id": "85206228"}, {"ref": "kitaaa1223/2025aai-09exa-ipynb", "kernel_id": "85184550"}, {"ref": "kitaaa1223/notebook9fce48efd5", "kernel_id": "85191796"}, {"ref": "wangyifei9988/notebook2ad6e0e83d", "kernel_id": "85151802"}, {"ref": "wangyifei9988/notebookac87ee8161", "kernel_id": "85149897"}, {"ref": "akamaruuuussssss2/notebook424c5d44c3", "kernel_id": "85184577"}, {"ref": "akamaruuuussssss2/fork-of-notebook424c5d44c3-8d082b", "kernel_id": "85187828"}, {"ref": "masato0207/2025aai-08exa", "kernel_id": "85208520"}, {"ref": "reijikato/2025aai-08xa-2025aai-09xa", "kernel_id": "85163222"}, {"ref": "sokita4/25rmd08-2025aai-09exa6a777df04a", "kernel_id": "85092849"}, {"ref": "kotarowithconan/notebookcf4045e3e1", "kernel_id": "85209513"}, {"ref": "yukino0420/2025aai-08exa2", "kernel_id": "85088043"}, {"ref": "yukino0420/2025aai-08exa", "kernel_id": "85073514"}, {"ref": "nakazawayuuto/ex8a-7-25rmd44", "kernel_id": "85188240"}, {"ref": "nakazawayuuto/ex8a-5-25rmd44", "kernel_id": "85177916"}, {"ref": "ktaimp/08exa", "kernel_id": "85191031"}, {"ref": "yusaku86/ex08a2", "kernel_id": "85191863"}, {"ref": "yusaku86/ex08a1", "kernel_id": "85179276"}, {"ref": "deriki/kadai8", "kernel_id": "85176308"}, {"ref": "yanaseyukio/09exa1-question6", "kernel_id": "85163072"}, {"ref": "yanaseyukio/09exa1-question4", "kernel_id": "85154887"}, {"ref": "ryoyaguchi/kadai08a-01", "kernel_id": "85178433"}, {"ref": "nabindernath/simple-time-series-forecasting-xgb", "kernel_id": "87404014"}, {"ref": "fagrahmed/store-item-demand-forecasting", "kernel_id": "87423419"}, {"ref": "nicdeluc/store-demand-forecasting-with-prophet", "kernel_id": "87722925"}, {"ref": "marzidez/demand-forcasting", "kernel_id": "88201713"}, {"ref": "darrylyunussulistyan/sales-prediction-2", "kernel_id": "89110193"}, {"ref": "darrylyunussulistyan/store-prediction-2-opti", "kernel_id": "89544918"}, {"ref": "emrullahyediyildiz/store-item-demand-forcasting", "kernel_id": "90493515"}, {"ref": "jaymineshkumarpatel/deep-learning-for-time-series-forecasting", "kernel_id": "92833061"}, {"ref": "oxspaceman/store-item-demand-forecasting", "kernel_id": "93826248"}, {"ref": "abhamahato/abhamahato-iter-soa-cle-26-ds-ba3-sesssion-5", "kernel_id": "104299181"}, {"ref": "dhrubangtalukdar/lstm-demand", "kernel_id": "105433157"}, {"ref": "selimhanucar/l1tos", "kernel_id": "106378519"}, {"ref": "maximilliancat/mad-xgb-store-challenge", "kernel_id": "107889309"}, {"ref": "titouanvasnier/test-ml", "kernel_id": "109622561"}, {"ref": "smitk2ahduni/demand-forecasting-extended", "kernel_id": "109703709"}, {"ref": "strangerias/sales-forecast", "kernel_id": "109245269"}, {"ref": "aceninja/611-model", "kernel_id": "110769041"}, {"ref": "hosseinbadrnezhad/store-item-demand-forecasting-challenge-xgboost", "kernel_id": "111652002"}, {"ref": "harshasri1805/notebook02a62ea2aa", "kernel_id": "111761155"}, {"ref": "marissan/store-1-item-1-forecasting-sarima-v-prophet", "kernel_id": "112833158"}, {"ref": "marissan/the-98-strategy-lean-inventory-simulation-s1-i1", "kernel_id": "113909023"}, {"ref": "marissan/predictive-pro-hubs-items-135-and-stores-248", "kernel_id": "114465257"}, {"ref": "khushi00452/demand-3", "kernel_id": "114969345"}, {"ref": "andrewdavidrathnam/dl-demandforecasting-10-04-2026", "kernel_id": "115157684"}, {"ref": "marissan/stickers-trends-and-stockouts-forecast-bias", "kernel_id": "115243076"}, {"ref": "vivekkumar021/notebook915040deff", "kernel_id": "115165997"}, {"ref": "nishant29902/store-price-submission-file", "kernel_id": "115443135"}, {"ref": "parth5012/ts-2-linear-vision", "kernel_id": "115587068"}, {"ref": "lucalullo/forecasting-demand-for-in-store-items", "kernel_id": "115940646"}, {"ref": "yassirdev1/lightgbm-baseline-with-advanced-lags-smape-13-1", "kernel_id": "121223227"}, {"ref": "mariammohamed1095/store-item-demand-forecasting", "kernel_id": "122135050"}, {"ref": "kittiphopkhankaew/lightgbm-with-3-feature-engineering", "kernel_id": "126365956"}, {"ref": "ccostarod/01-series-temporais-trabalho", "kernel_id": "127242221"}, {"ref": "abdulrahmanmohammed1/lgb-with-3-feature-engineering-and-time-based-cv", "kernel_id": "128241579"}, {"ref": "bhumikakadam20/celebal-project", "kernel_id": "130239586"}, {"ref": "evgendvorkin/store-item-demand-catboost-privat-12-87962", "kernel_id": "131047611"}]}
{"competition_id": "10001", "kernels": []}
{"competition_id": "10006", "kernels": []}
{"competition_id": "10012", "kernels": [{"ref": "drkalko/simple-eda-and-logistic-starter", "kernel_id": "1585160"}, {"ref": "wendykan/what-s-cooking-eda", "kernel_id": "1192301"}, {"ref": "mohanrao/take-1-whats-cooking", "kernel_id": "1668804"}, {"ref": "sathyz/simple-nn-approach-kfold", "kernel_id": "1471264"}, {"ref": "paraplu/plain-one-hot-encoding-and-random-forest", "kernel_id": "1616805"}, {"ref": "ambarish/data-cook-python-mimic-abhishek-kernel", "kernel_id": "1263693"}, {"ref": "ambarish/data-cook-eda-modelling-wordembeddings", "kernel_id": "1199542"}, {"ref": "danofer/yummly-json-to-csv", "kernel_id": "1220513"}, {"ref": "muxxer/baking-brainies", "kernel_id": "1394088"}, {"ref": "smtech/tfidf-lgb", "kernel_id": "1219989"}, {"ref": "barrywang/hard-voting-classifier", "kernel_id": "1480390"}, {"ref": "barrywang/create-new-recipes-with-new-cooking-ideas", "kernel_id": "1516658"}, {"ref": "michelcarroll/simple-tf-idf-scoring", "kernel_id": "1275471"}, {"ref": "eddyod/ensemble-kfold", "kernel_id": "1279559"}, {"ref": "eddyod/cooking-with-keras", "kernel_id": "1270513"}, {"ref": "madcap/keras-baseline-model", "kernel_id": "1504015"}, {"ref": "ibraheemmoosa/multinomial-naive-bayes", "kernel_id": "1294448"}, {"ref": "ibraheemmoosa/logistic-regression", "kernel_id": "1298837"}, {"ref": "ibraheemmoosa/bag-of-trees", "kernel_id": "1302671"}, {"ref": "ibraheemmoosa/bernoulli-naive-bayes", "kernel_id": "1290889"}, {"ref": "anoojnair/simple-classifier", "kernel_id": "1676903"}, {"ref": "cng885/cooking-lstm-basic", "kernel_id": "1514724"}, {"ref": "umeshnarayanappa/recipes-tf-idf-and-bigrams", "kernel_id": "1195001"}, {"ref": "gcmartinelli/sklearn-randomforestclassifier-1st-submission", "kernel_id": "1527813"}, {"ref": "gcmartinelli/cooking-with-neural-nets", "kernel_id": "1533372"}, {"ref": "missingdays/mean-w2v", "kernel_id": "1209854"}, {"ref": "mmotoki/word-embeddings-cuisine-similarity", "kernel_id": "1202536"}, {"ref": "ksayantani/cuisine-analysis", "kernel_id": "1465389"}, {"ref": "kstathou/deepcook-a-simple-mlp-model", "kernel_id": "1382787"}, {"ref": "kstathou/deepcook-v2-tfidf-mlp", "kernel_id": "1388524"}, {"ref": "kstathou/word-embeddings-logistic-regression", "kernel_id": "1374031"}, {"ref": "nulldata/unsupervised-cuisine-ingredients-creation", "kernel_id": "1203326"}, {"ref": "martinpetrov/what-s-cooking-eda-and-quick-model", "kernel_id": "1416891"}, {"ref": "chandan2495/guess-the-cuisine", "kernel_id": "1514817"}, {"ref": "jordanrex/the-rock-is-cooking-xgboost-in-r", "kernel_id": "1206241"}, {"ref": "vijaykris/prediction-using-svm-rbf-grid-search", "kernel_id": "1386767"}, {"ref": "vijaykris/prediction-using-svm-modified-regularisation", "kernel_id": "1262973"}, {"ref": "grafiszti/multiple-model-with-feature-engineering", "kernel_id": "1525592"}, {"ref": "josephgpinto/cooking-is-chemistry-really", "kernel_id": "1493604"}, {"ref": "mtinti/kernel7fa5f6352e", "kernel_id": "1562426"}, {"ref": "rod92dar/word2vec-lightgbm", "kernel_id": "1224720"}, {"ref": "rod92dar/baseline-model-tfidf-logit", "kernel_id": "1206114"}, {"ref": "catris25/logistic-regression-with-countvectorizer", "kernel_id": "1633918"}, {"ref": "catris25/multinomial-naive-bayes-with-countvectorizer", "kernel_id": "1633555"}, {"ref": "abhinav08/what-s-cooking-tfidf-bow-features", "kernel_id": "1306629"}, {"ref": "jkittler/simple-eda-as-basis-for-feature-engineering", "kernel_id": "1548366"}, {"ref": "pavlin/jaccard-similarity", "kernel_id": "1407777"}, {"ref": "ericxu10101/ideas", "kernel_id": "1499542"}, {"ref": "ericxu10101/tfidf-gbdt", "kernel_id": "1517441"}, {"ref": "laurams/cuisine-tag-basic", "kernel_id": "1337814"}, {"ref": "djsaunde/logistic-regression-cv-on-tf-idf-data", "kernel_id": "1383497"}, {"ref": "djsaunde/what-s-cooking-logistic-regression-on-count-data", "kernel_id": "1379876"}, {"ref": "ash316/what-is-the-rock-cooking-ensembling-network", "kernel_id": "1205690"}, {"ref": "averyisland/a-tasty-intro-to-tidy-text-and-tf-idf", "kernel_id": "1337402"}, {"ref": "anku348/cooking-multinomial-nb", "kernel_id": "1330041"}, {"ref": "alluxia/what-s-cooking-simple-model-0-79434", "kernel_id": "1623863"}, {"ref": "alluxia/what-s-cooking-in-keras", "kernel_id": "1598451"}, {"ref": "pranavhonrao9/kernela5ad79c6a0", "kernel_id": "1303693"}, {"ref": "a45632/hyperrealistic-dataset-view", "kernel_id": "1635735"}, {"ref": "andreaschandra/svm-and-gridsearchcv", "kernel_id": "1318545"}, {"ref": "kskarakostas/ml-combo", "kernel_id": "1614155"}, {"ref": "thisray/forgputest", "kernel_id": "1509758"}, {"ref": "ashishpatel26/scrumptious-cooking-foods", "kernel_id": "1222395"}, {"ref": "ashishpatel26/simple-neural-network", "kernel_id": "1230199"}, {"ref": "ashishpatel26/up-to-all-food-and-all-models", "kernel_id": "1230127"}, {"ref": "ashishpatel26/hyper-parameter-tuning-using-svm", "kernel_id": "1235330"}, {"ref": "ashishpatel26/think-differently-what-s-cooking", "kernel_id": "1669140"}, {"ref": "ashishpatel26/multimodel-approach", "kernel_id": "1407668"}, {"ref": "nicapotato/tfidf-svc-kmeans-lgbm", "kernel_id": "1345569"}, {"ref": "nicapotato/this-model-is-bland-simple-logistic-starter", "kernel_id": "1193438"}, {"ref": "alfasst/bag-of-ingredients-svd-and-keras", "kernel_id": "1543911"}, {"ref": "zhaohuang12/tf-idf-nn-tensorflow-py", "kernel_id": "1524804"}, {"ref": "ritesaluja/cooking-it", "kernel_id": "1665990"}, {"ref": "aalberti333/what-s-cooking-cuisine-prediction", "kernel_id": "1950772"}, {"ref": "plarmuseau/embed-logistic", "kernel_id": "1375701"}, {"ref": "plarmuseau/cosinesimilarity", "kernel_id": "1290055"}, {"ref": "plarmuseau/xtratrees", "kernel_id": "1277808"}, {"ref": "plarmuseau/marcelo", "kernel_id": "1382317"}, {"ref": "vishreddy/predicting-cuisine", "kernel_id": "1361188"}, {"ref": "rejasupotaro/what-are-ingredients", "kernel_id": "1521287"}, {"ref": "rejasupotaro/representations-for-ingredients", "kernel_id": "1478850"}, {"ref": "rejasupotaro/let-s-cook-model", "kernel_id": "1563512"}, {"ref": "rejasupotaro/taste-predictions", "kernel_id": "1629165"}, {"ref": "ismu94/tf-idf-deep-neural-net", "kernel_id": "1534299"}, {"ref": "ismu94/tf-idf-neural-net-checkpoint", "kernel_id": "1534842"}, {"ref": "codename007/cooking-cooking-cooking", "kernel_id": "1194277"}, {"ref": "baburam1985/whats-cooking", "kernel_id": "1958523"}, {"ref": "uwaisiqbal/exploring-the-culinary-landscape", "kernel_id": "1986155"}, {"ref": "nafisur/what-s-cooking", "kernel_id": "1296820"}, {"ref": "nafisur/cooking", "kernel_id": "1341543"}, {"ref": "inmanenz/ann-using-word-2-vec-embeddings", "kernel_id": "1426285"}, {"ref": "nuthanreddy/first-submission", "kernel_id": "1543892"}, {"ref": "kyoheyyy/what-s-cooking", "kernel_id": "1276107"}, {"ref": "alfonsogarcia/first-kaggle", "kernel_id": "1237091"}, {"ref": "alfonsogarcia/nn-aproximation", "kernel_id": "1242591"}, {"ref": "hengzheng/a-test-on-tf-idf-with-mlp-and-textcnn", "kernel_id": "1376856"}, {"ref": "gloriahristova/a-walkthrough-eda-vizualizations-unigram-model", "kernel_id": "1584945"}, {"ref": "ibrahimkhan/cooking-net", "kernel_id": "1214987"}, {"ref": "bsivavenu/my-favourite-cuisine-is", "kernel_id": "1192808"}, {"ref": "sidjhanji/identify-the-cuisine-comparing-models", "kernel_id": "1686087"}, {"ref": "jscharbach/exploring-preprocessing-methods", "kernel_id": "1554782"}, {"ref": "jrchua92/eda-what-s-cooking-in-the-pot", "kernel_id": "1653567"}, {"ref": "ajxander/keras-deep-learning-recipes", "kernel_id": "1229929"}, {"ref": "timothycwillard/lightly-tuned-polynomial-svc", "kernel_id": "1562305"}, {"ref": "timothycwillard/tuning-a-ridge-classifier", "kernel_id": "1492982"}, {"ref": "timothycwillard/tuning-a-logistic-regression", "kernel_id": "1463719"}, {"ref": "timothycwillard/cooking-with-linear-models", "kernel_id": "1395948"}, {"ref": "bathiamkwrdsbt/what-scookingsvm", "kernel_id": "1302244"}, {"ref": "paultimothymooney/predict-cuisine-type-from-recipe-ingredients", "kernel_id": "1230776"}, {"ref": "kukulkan/tf-idf-ovr", "kernel_id": "1580546"}, {"ref": "kukulkan/cook-prediction-cnn", "kernel_id": "1624891"}, {"ref": "tarunpaparaju/cuisine-predictor", "kernel_id": "1373215"}, {"ref": "tarunpaparaju/what-s-cooking-cuisine-prediction-with-xgboost", "kernel_id": "1668489"}, {"ref": "tarunpaparaju/what-s-cooking-cuisine-prediction-with-dnns-v2", "kernel_id": "1668558"}, {"ref": "tarunpaparaju/what-s-cooking-cuisine-prediction-with-gb-trees", "kernel_id": "1618624"}, {"ref": "aalchemist/tfidr-pca-neural", "kernel_id": "1382024"}, {"ref": "aalchemist/pca-logistic-regression", "kernel_id": "1303098"}, {"ref": "aalchemist/word-embedding-logistic-regression", "kernel_id": "1329740"}, {"ref": "aalchemist/tfidr-bayesian-optimization", "kernel_id": "1397607"}, {"ref": "skooch/one-vs-all-extra-trees", "kernel_id": "1307552"}, {"ref": "ch124uec/logistic-regression-in-numpy", "kernel_id": "1286605"}, {"ref": "aeter42/mix-those-ingredients-nn-sum-of-embeddings", "kernel_id": "1336318"}, {"ref": "qgh1223/xgboost-lightgbm-for-cooking", "kernel_id": "1260791"}, {"ref": "arrogantlymodest/randomised-cv-search-over-keras-neural-network", "kernel_id": "1411024"}, {"ref": "beatricecai/text-classification-a-cooking-example", "kernel_id": "1636052"}, {"ref": "drowningfishy10/too-many-cooks", "kernel_id": "1219615"}, {"ref": "jujuwoman/what-s-cooking", "kernel_id": "1352237"}, {"ref": "uds5501/hey-girls-what-s-cookin", "kernel_id": "1555800"}, {"ref": "adityajn105/whats-cooking-countvectorizer-tfidf-and-xgboost", "kernel_id": "1291251"}, {"ref": "omrialgazi/cooking-with-pytorch", "kernel_id": "1327595"}, {"ref": "atrisaxena/what-s-cooking-svm", "kernel_id": "1280609"}, {"ref": "jayjoshi31/ann-approach-for-what-is-cooking", "kernel_id": "1912683"}, {"ref": "srcecde/xg-svm-tf-cooking-svm-0-82260-xgb-0-77383", "kernel_id": "1632259"}, {"ref": "saifadeeb/what-s-cooking-kernel", "kernel_id": "1334415"}, {"ref": "bashir4909/what-are-we-cooking-tonight", "kernel_id": "1624893"}, {"ref": "zdeutsch/recipes-basic-visualizations-ml-models", "kernel_id": "1394728"}, {"ref": "shivamb/tf-idf-with-ovr-svm-what-s-cooking", "kernel_id": "1208665"}, {"ref": "souvikb07/what-s-cooking", "kernel_id": "1809172"}, {"ref": "ruthwikmasina/a-ratatouille-receipe", "kernel_id": "1274525"}, {"ref": "priyadharshinis/what-s-cooking", "kernel_id": "1266511"}, {"ref": "sarahjaynekessler/cuisine-guessing", "kernel_id": "1300656"}, {"ref": "tejaeduc/whats-cooking-neural-nets-log-reg-svc", "kernel_id": "1259630"}, {"ref": "boomberung/a-lot-of-eda", "kernel_id": "1938207"}, {"ref": "skillsmuggler/ingredients-eda-wordcloud", "kernel_id": "1194914"}, {"ref": "alphadraco/submission-cooking", "kernel_id": "1626395"}, {"ref": "naveenc131/cooking-with-cnn", "kernel_id": "1675825"}, {"ref": "adersonlucas/mamma-mia", "kernel_id": "1270375"}, {"ref": "welgum/tf-idf-with-simple-nn-keras", "kernel_id": "1698013"}, {"ref": "saduras/cooking-data", "kernel_id": "1215024"}, {"ref": "nonreviad/what-s-cooking", "kernel_id": "1265214"}, {"ref": "pearl2201/cocking-recipe", "kernel_id": "1683432"}, {"ref": "vpapenko/dense-cooking", "kernel_id": "1495991"}, {"ref": "mehulgupta2016154/groupdclassifiers", "kernel_id": "1278112"}, {"ref": "mehulgupta2016154/fork-of-tableau-cuisine", "kernel_id": "1784755"}, {"ref": "mehulgupta2016154/tableau-cuisine", "kernel_id": "1777323"}, {"ref": "dwoodlock/svm-parameter-tuning", "kernel_id": "1242528"}, {"ref": "dwoodlock/svm-12jul18", "kernel_id": "1282298"}, {"ref": "suyashgulati/eda-of-the-what-s-cooking-data", "kernel_id": "1369709"}, {"ref": "suyashgulati/n-grams-of-cnn-whats-cooking", "kernel_id": "1383381"}, {"ref": "suyashgulati/knowing-700-values-of-test-data-without-learning", "kernel_id": "1388624"}, {"ref": "ymatioun/lightgbm-v1", "kernel_id": "1596620"}, {"ref": "shineatml/cooking", "kernel_id": "1711215"}, {"ref": "pathofdata/whats-cooking-simple-embedding-model", "kernel_id": "1758566"}, {"ref": "john850512/what-s-cooking-compare-different-model", "kernel_id": "1588620"}, {"ref": "lfyggg/lb-0-82743-with-simple-feature", "kernel_id": "1706176"}, {"ref": "pangtong/what-s-cooking-tf-idf-onevsrest-linersvc", "kernel_id": "1256803"}, {"ref": "saychelsea11/cuisine-prediction-tfidf-and-logistic-regression", "kernel_id": "1603893"}, {"ref": "figarrikeisha/cooking-time", "kernel_id": "1367015"}, {"ref": "hugosev/cooking-with-tfidf", "kernel_id": "1907225"}, {"ref": "piyush022/simple-tf-idf-method", "kernel_id": "1280849"}, {"ref": "wangweiyi/learn-nlp-from-cuisine-menu", "kernel_id": "1418373"}, {"ref": "belousych/tfidf-lg-mlp-feature-importance", "kernel_id": "1301383"}, {"ref": "belousych/tfidf-lg-lgbm-stack", "kernel_id": "1396445"}, {"ref": "pkarkh/tfidf-peethon", "kernel_id": "1304753"}, {"ref": "heesoo37/facebook-s-fasttext-algorithm", "kernel_id": "1510879"}, {"ref": "tandonarpit6/cooking-challenge", "kernel_id": "1572087"}, {"ref": "brochinejr/whatiscooking-brochinejr-latest", "kernel_id": "1628347"}, {"ref": "jnsmorinigo/linearsvc-fcyt", "kernel_id": "1455965"}, {"ref": "bduarte12/adivina-a-qu-cocina-pertenece", "kernel_id": "1249959"}, {"ref": "maccalla/visualizition-written-for-japanese", "kernel_id": "1334309"}, {"ref": "pallaviallada/tfidf-svm-linear", "kernel_id": "1542857"}, {"ref": "huangdapan/decision-tree", "kernel_id": "1271688"}, {"ref": "abusiddik/what-s-cooking", "kernel_id": "1412124"}, {"ref": "abusiddik/cooking", "kernel_id": "1412791"}, {"ref": "jnjnqy/cooking-nn-0-80", "kernel_id": "1578457"}, {"ref": "janeyb/what-s-cooking-kernel-logistic-regression", "kernel_id": "1495821"}, {"ref": "janeyb/what-s-cooking-kernel", "kernel_id": "1426691"}, {"ref": "faustbeirdo/what-s-cooking-ann", "kernel_id": "1656930"}, {"ref": "dzkaggle/re-lemmatize-tfidf-svm-pretty-good-score", "kernel_id": "1318821"}, {"ref": "dzkaggle/chef-keras-deep-cooking", "kernel_id": "1321245"}, {"ref": "bjjoy2009/bag-rf", "kernel_id": "1383964"}, {"ref": "bjjoy2009/tf-idf-lr", "kernel_id": "1386651"}, {"ref": "sanninjiraya/deep-cooking", "kernel_id": "1272264"}, {"ref": "esipenko/first-try-countvectorizer-linearsvc", "kernel_id": "1304030"}, {"ref": "waltster/cleaning-the-citchen-before-cooking", "kernel_id": "1286184"}, {"ref": "bhasha4995dushara/delicious-food-cooking-model", "kernel_id": "1667283"}, {"ref": "bigkirill/cooking", "kernel_id": "1497313"}, {"ref": "madhavambati/what-s-cooking-a-basic-simple-model", "kernel_id": "1493671"}, {"ref": "lavifb/random-broccoli-classifier-onevsrest", "kernel_id": "1617357"}, {"ref": "srijitghatak/cuisine-prediction", "kernel_id": "1792350"}, {"ref": "bebaek/ingredients-nn-cuisine", "kernel_id": "1554708"}, {"ref": "aliciadeng24/linear-svc-detect-cuisine", "kernel_id": "1780130"}, {"ref": "ivanryndin/simple-bag-of-words", "kernel_id": "2057237"}, {"ref": "ivanryndin/tf-idf-and-svm", "kernel_id": "2256635"}, {"ref": "sshadylov/text-classification-ova-passive-aggressive", "kernel_id": "2224503"}, {"ref": "akshaysiras/kernela1db0d290f", "kernel_id": "2279238"}, {"ref": "clairegao/whats-cooking-classification", "kernel_id": "2000077"}, {"ref": "nmquach/simple-try", "kernel_id": "2396077"}, {"ref": "albytho/recipes-py", "kernel_id": "2474658"}, {"ref": "shiyugong/what-s-cooking-eda-and-multi-class-classification", "kernel_id": "2830460"}, {"ref": "joydeb28/what-s-cooking-with-svm", "kernel_id": "2058361"}, {"ref": "evians/cousines", "kernel_id": "2291780"}, {"ref": "acauveri/simple-cuisine-classification", "kernel_id": "2935254"}, {"ref": "jprusso/cooking-recipes", "kernel_id": "2813685"}, {"ref": "oracool/natty-svc-better-score-than-the-first-place", "kernel_id": "2922683"}, {"ref": "rootofallevil/what-s-cooking", "kernel_id": "2199127"}, {"ref": "codilis/cuisine-detection", "kernel_id": "2301607"}, {"ref": "waseemkhalifa/what-s-cooking-simple-pandas-keras-ann-approach", "kernel_id": "2764313"}, {"ref": "rajmehra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "2555556"}, {"ref": "justk1/let-s-cook-wait-what-can-we-cook", "kernel_id": "2841250"}, {"ref": "emily2008/is-this-your-favorite-food", "kernel_id": "2880385"}, {"ref": "akashsinha3008/cuisine-classification", "kernel_id": "2544678"}, {"ref": "kinoet/what-s-cooking", "kernel_id": "2020978"}, {"ref": "anovax/fork-of-1811-submission", "kernel_id": "2155800"}, {"ref": "anovax/1811-submission", "kernel_id": "2135426"}, {"ref": "dblmok/kernel901624e42b", "kernel_id": "2088911"}, {"ref": "maerad7/kernelb46f3283a0", "kernel_id": "2005819"}, {"ref": "maerad7/batch-normalization", "kernel_id": "2004170"}, {"ref": "noachr/rnn-in-pytorch", "kernel_id": "2113906"}, {"ref": "shivamsarawagi/cookingprediction", "kernel_id": "2616041"}, {"ref": "claasen/seminar-notebook-minimized", "kernel_id": "2753152"}, {"ref": "madoliver/kerneldf4919d6bc", "kernel_id": "3074333"}, {"ref": "hisudha/whats-cooking-v1-st", "kernel_id": "3751018"}, {"ref": "anjanatiha/cuisine-prediction", "kernel_id": "3150195"}, {"ref": "sarthakpawar/kernel05b1676f50", "kernel_id": "3121579"}, {"ref": "diwang137/kernelcc21421019", "kernel_id": "3565222"}, {"ref": "chaitali17/hey-what-s-cooking", "kernel_id": "3558319"}, {"ref": "deepak6446/house-price-prediction-regression", "kernel_id": "3506886"}, {"ref": "siddhanthrao/what-s-cooking", "kernel_id": "3602469"}, {"ref": "sruuujaaan/neural-net-used-for-prediction", "kernel_id": "3529144"}, {"ref": "intrexon/cnn-for-text-classification", "kernel_id": "3349672"}, {"ref": "iavinas/what-s-cooking-working-with-text-tfidfvectorizer", "kernel_id": "3930946"}, {"ref": "alok268/what-s-your-cuisine", "kernel_id": "3508656"}, {"ref": "kuni2018/sklearn-cheat-sheet-is-useful", "kernel_id": "3450755"}, {"ref": "choijieun/predict-cuisine-type", "kernel_id": "3441836"}, {"ref": "hrush777/simple-lstm", "kernel_id": "3441167"}, {"ref": "longyg/svc-classification", "kernel_id": "3950252"}, {"ref": "architpatil23/kernelae570edc1c", "kernel_id": "3618614"}, {"ref": "amrnasr/what-s-cooking", "kernel_id": "4551257"}, {"ref": "drbalan/kernelb6bc87c03a", "kernel_id": "4952258"}, {"ref": "ridhimashinde23/kernelb737bed826", "kernel_id": "4188829"}, {"ref": "bilal75210/ir-project", "kernel_id": "4196970"}, {"ref": "nazakathussain/what-s-cooking-script", "kernel_id": "4559160"}, {"ref": "stasler/nom-nom-nom-nn-edition", "kernel_id": "5602477"}, {"ref": "stasler/nom-nom-nom", "kernel_id": "5585965"}, {"ref": "jaylaksh94/what-s-cooking", "kernel_id": "5959043"}, {"ref": "jdbricker/naive-bayes-is-cooking", "kernel_id": "6324460"}, {"ref": "zupepoto/preprocess-and-random-forest", "kernel_id": "6625784"}, {"ref": "zupepoto/tfidf-mlp-svc-top-2-public-leaderboard", "kernel_id": "6692346"}, {"ref": "rashmiek99/what-s-cooking", "kernel_id": "6471655"}, {"ref": "john77eipe/a-foodie-s-perspective", "kernel_id": "6817715"}, {"ref": "saeedtqp/a-walkthrough-eda-vizualizations-unigram-model", "kernel_id": "6921637"}, {"ref": "saeedtqp/what-s-cooking", "kernel_id": "6916508"}, {"ref": "tanulsingh077/what-s-cooking", "kernel_id": "6454261"}, {"ref": "sush392/kernel24d6d6d661", "kernel_id": "6187596"}, {"ref": "sabinhashmi/what-is-cooking-text-analysis-basics", "kernel_id": "7098632"}, {"ref": "pradneshmhatre/cuisine-detector-with-svm", "kernel_id": "7228329"}, {"ref": "subhadeep06/kernel74134cc569", "kernel_id": "7061955"}, {"ref": "vilceanumihnea97/kernel4164d67650", "kernel_id": "7440305"}, {"ref": "vilceanumihnea97/kernel2833eb6e1f", "kernel_id": "7439307"}, {"ref": "vilceanumihnea97/kernel1fd023b510", "kernel_id": "7437889"}, {"ref": "brynnyin/what-s-cooking-cpu", "kernel_id": "7524957"}, {"ref": "panditdandgule/a-detailed-explanation-of-keras-embedding", "kernel_id": "8294164"}, {"ref": "duboviy/what-is-the-rock-cooking-ensembling-network", "kernel_id": "9132781"}, {"ref": "chandra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "9467551"}, {"ref": "aoutomromanov/kernel1786d85d74", "kernel_id": "9300992"}, {"ref": "wcaine/flask", "kernel_id": "10970023"}, {"ref": "mikayelkhachaturyan/kernel552affbc57", "kernel_id": "10722557"}, {"ref": "reoneo97/recipe2vec-with-pytorch", "kernel_id": "11143871"}, {"ref": "xenakas/notebook4fbc84d81b", "kernel_id": "13887891"}, {"ref": "juliazhuravleva/notebook925d82a8be", "kernel_id": "13343285"}, {"ref": "kppetrov/using-scikit-learn-intelex-for-what-s-cooking", "kernel_id": "14267766"}, {"ref": "klmsathishkumar/find-what-s-cooking", "kernel_id": "14804908"}, {"ref": "naokiokada/what-s-cooking", "kernel_id": "16542540"}, {"ref": "girijeshcse/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "16845475"}, {"ref": "deeptibala/deepti-whatscookinganalysis", "kernel_id": "16270370"}, {"ref": "maxdidato/my-attempt-in-predicting", "kernel_id": "16595648"}, {"ref": "jonatadesouzacunha/notebook3172cafbb3", "kernel_id": "16234546"}, {"ref": "heliaritiana/helia-what-s-cooking", "kernel_id": "17823244"}, {"ref": "pittoulb/devinez-le-pays-tp-groupe", "kernel_id": "17966827"}, {"ref": "sh3yn3/whatscookingtristanbouchier", "kernel_id": "17858992"}, {"ref": "kavyasreeb/whats-cooking", "kernel_id": "18143398"}, {"ref": "ladadavydova/what-s-cooking", "kernel_id": "20350276"}, {"ref": "geochatz/what-s-cooking-classification", "kernel_id": "21729566"}, {"ref": "lahnova/lab3t3cuisine", "kernel_id": "22769569"}, {"ref": "daviddirethucus/what-s-cooking", "kernel_id": "23106325"}, {"ref": "peterdal/using-scikit-learn-intelex-for-what-s-cooking", "kernel_id": "26562410"}, {"ref": "kanikar/what-s-cooking-simple-nlp-starter-code", "kernel_id": "28183931"}, {"ref": "miamiamiyu/miyu-1st-submission", "kernel_id": "28010276"}, {"ref": "kemalfarukbaaran/what-scook", "kernel_id": "29921887"}, {"ref": "amirkonjkav/explanation-of-embedding-layer", "kernel_id": "32834351"}, {"ref": "encode0/cuisine-classification-with-tensorflow", "kernel_id": "37557598"}, {"ref": "floriancelary/what-s-cooking-fc-le4-2023", "kernel_id": "38149654"}, {"ref": "simontang02/what-s-cooking", "kernel_id": "38233339"}, {"ref": "ryzhokhina/what-s-cooking", "kernel_id": "41540067"}, {"ref": "nikolaidjenontin/what-s-cooking-cuisine", "kernel_id": "56337833"}, {"ref": "mashimo/simple-step-by-step-model", "kernel_id": "73611360"}, {"ref": "davidayalaantezana/whats-cooking-guide", "kernel_id": "81065384"}]}
{"competition_id": "10014", "kernels": [{"ref": "mik3hall/tau-notebook", "kernel_id": "1376881"}, {"ref": "mik3hall/hep-ml", "kernel_id": "1359146"}, {"ref": "scirpus/five-line-model", "kernel_id": "1252788"}, {"ref": "sionek/ugbc-gs", "kernel_id": "1221250"}, {"ref": "artgor/flavours-of-physics-basic-model", "kernel_id": "1323787"}, {"ref": "darrellulm/ugbc-gs", "kernel_id": "1370418"}, {"ref": "achal71/cern-simple-classification-models", "kernel_id": "1645842"}, {"ref": "ashishpatel26/think-diffrently-e-mc2", "kernel_id": "1432439"}, {"ref": "muonneutrino/lightgbm-starter-some-data-exploration", "kernel_id": "1213008"}, {"ref": "nafisur/ugbc-gs", "kernel_id": "1336777"}, {"ref": "skooch/ensemble-with-ugbc", "kernel_id": "1317907"}, {"ref": "skooch/ugbc-es4", "kernel_id": "1358720"}, {"ref": "serkanpeldek/arp-mada-r-me-oldu-mu-3", "kernel_id": "1312591"}, {"ref": "bdmj12/flavours-of-physics-3-competition-2", "kernel_id": "1520165"}, {"ref": "bdmj12/flavours-of-physics-3-challenge-8", "kernel_id": "1712525"}, {"ref": "cieske/lightgbm-model-magic-features", "kernel_id": "1666934"}, {"ref": "galtimur/flavours-of-physics-2nd-place", "kernel_id": "1692025"}, {"ref": "adrian1acoran/fork-of-1-pi-3-14159265358979324-code-7d-9f035b", "kernel_id": "2027328"}, {"ref": "adrian1acoran/1-pi-3-14159265358979324-code-7d7348", "kernel_id": "2022096"}, {"ref": "rahulbagga/neural-networks-in-keras", "kernel_id": "4450761"}, {"ref": "maliabbas/five-line-model", "kernel_id": "4338993"}, {"ref": "maliabbas/ugbc-gs", "kernel_id": "4339076"}, {"ref": "maliabbas/flavours-of-physics", "kernel_id": "4403336"}, {"ref": "wsbae01/tau-decay-lgbm-bayes-20135453-wonseok-bae", "kernel_id": "4010173"}, {"ref": "abhinav2308/raredecaysearch", "kernel_id": "5619891"}, {"ref": "scirpus/fork-of-complex-math", "kernel_id": "7833540"}, {"ref": "scirpus/complex-math", "kernel_id": "7704810"}, {"ref": "prashantmudgal/a-physics-example-of-ensemble-modelling-and-eda", "kernel_id": "9244146"}, {"ref": "yasserhessein/finding-with-svm-knn-gnb-xgb", "kernel_id": "20857417"}]}
{"competition_id": "10025", "kernels": [{"ref": "kailex/xgb-tfidf-features", "kernel_id": "1322884"}, {"ref": "ambarish/rotten-reviews", "kernel_id": "1195407"}, {"ref": "miranda1/bag-of-words", "kernel_id": "1615283"}, {"ref": "jeremiahharmsen/tensorflow-hub-for-text-classification", "kernel_id": "1387945"}, {"ref": "sanjivp/blended-model-with-notes-draft", "kernel_id": "1670317"}, {"ref": "jkiris/kernelb243d7fef7", "kernel_id": "1529886"}, {"ref": "colsen/starter-classifiers-with-data-prep-commentary", "kernel_id": "1564197"}, {"ref": "vuppala/simple-eda-logistic-svc", "kernel_id": "1457767"}, {"ref": "zhaoquan/submit-version-add-wordcloud-and-lemma", "kernel_id": "1716501"}, {"ref": "nandum/text-data-exploration-bow-and-tf-idf-with-lr", "kernel_id": "1224603"}, {"ref": "akashram/movie-sentiment-analysis-part-1", "kernel_id": "1586687"}, {"ref": "akashram/movie-sentiment-doc2vec-phrasemodeling-chisquare", "kernel_id": "1686005"}, {"ref": "baolongpham2017/my-first-try", "kernel_id": "1409558"}, {"ref": "dcompgriff/new-dsx-bi-lstm-and-cnn-model-top-10", "kernel_id": "1693190"}, {"ref": "pallavikhedekar/movie-review-sentiment-analysis", "kernel_id": "1751658"}, {"ref": "tunguz/lr-with-words-and-char-n-grams", "kernel_id": "1249824"}, {"ref": "rahulvks/sentiment-analysis-since-1996", "kernel_id": "1199519"}, {"ref": "rahulvks/words-analysis", "kernel_id": "1224884"}, {"ref": "rahulvks/convolutional-neural-network-text-classification", "kernel_id": "1348200"}, {"ref": "chenmengyang/validation-data", "kernel_id": "1402250"}, {"ref": "harikiran/movie-review-using-lstm", "kernel_id": "1692281"}, {"ref": "aerdem4/fast-basic-lstm-with-proper-k-fold-sentimentembed", "kernel_id": "1629113"}, {"ref": "amitkumarjaiswal/movie-reviews-with-keras-rnn", "kernel_id": "1463394"}, {"ref": "kottisasikanth/movie-review-sentiment-analysis-kernel", "kernel_id": "1243031"}, {"ref": "jihyeseo/sentiment", "kernel_id": "1225811"}, {"ref": "mmailloux22/fork-of-kernel962c1da32a", "kernel_id": "1438543"}, {"ref": "rafapaz/simple-naive-bayes", "kernel_id": "1548187"}, {"ref": "tarunshah/sentiment-analysis-with-tf-idf-and-added-feature", "kernel_id": "1260422"}, {"ref": "arindamgot/romanticreviews-moodring-directedgraph-ngram-lda", "kernel_id": "1484373"}, {"ref": "nikitpatel/blending-with-lr-xgb-mnb-adaboost-kne-lsvc", "kernel_id": "1506849"}, {"ref": "nikitpatel/eda-cleaning-keras-lstm-clustering", "kernel_id": "1460797"}, {"ref": "voiddz/two-step-classifier", "kernel_id": "1222911"}, {"ref": "pamin2222/tf-idf-svm-exploration", "kernel_id": "1235677"}, {"ref": "yagamibose/sample-submission", "kernel_id": "1272925"}, {"ref": "leslietinto/movie-reviews-keras-cleaning-no-lemmatizing", "kernel_id": "1520623"}, {"ref": "artgor/capsule-nn", "kernel_id": "1237973"}, {"ref": "artgor/movie-review-sentiment-analysis-eda-and-models", "kernel_id": "1194826"}, {"ref": "anktplwl91/rotten-reviews", "kernel_id": "1273600"}, {"ref": "arashnic/gru-01", "kernel_id": "1628372"}, {"ref": "sehaily/stacking-lg-svc-nb-word-char-n-gram", "kernel_id": "1582011"}, {"ref": "awantik/digit-perdictor", "kernel_id": "1538209"}, {"ref": "mandeep94/sentiment-analysis-on-moview-reviews", "kernel_id": "1627832"}, {"ref": "ashishpatel26/movie-review-analysis", "kernel_id": "1204264"}, {"ref": "ashishpatel26/have-you-check-this", "kernel_id": "1209105"}, {"ref": "ashishpatel26/have-u-think-like-this", "kernel_id": "1557795"}, {"ref": "up201204722/movie-sentiment-analysis", "kernel_id": "1295029"}, {"ref": "nicapotato/submission-set-benchmark-only-2s", "kernel_id": "1194109"}, {"ref": "nicapotato/sparse-n-dense-logistic-n-tsvd-starter", "kernel_id": "1193990"}, {"ref": "zhaohuang12/sentiment-analysis-tensorflow-lstm", "kernel_id": "1368984"}, {"ref": "dant86/save-submissions", "kernel_id": "1305087"}, {"ref": "raghavendrakotala/sentiment-analysis-with-lstm", "kernel_id": "1477349"}, {"ref": "taindow/deep-learning-with-r-sentiment-analysis", "kernel_id": "1295017"}, {"ref": "taindow/example-embedding", "kernel_id": "1506528"}, {"ref": "ibrahimaptlo10/eda-multi-class-multinomial-naive-bayes", "kernel_id": "1233136"}, {"ref": "jeffreyjose071994/movie-reviewer", "kernel_id": "1448356"}, {"ref": "vishreddy/movie-sentiment-baseline", "kernel_id": "1363841"}, {"ref": "codename007/sentiment-analysis-baseline-model", "kernel_id": "1196012"}, {"ref": "codename007/glove-lstm", "kernel_id": "1200676"}, {"ref": "jaredarcilla/review-sentiment-analysis-with-lstm-submi", "kernel_id": "1596216"}, {"ref": "talevy23/cnn-with-parallel-convolution-layers", "kernel_id": "1360823"}, {"ref": "nafisur/keras-lstm", "kernel_id": "1272257"}, {"ref": "nafisur/keras-models-lstm-cnn-gru-bidirectional-glove", "kernel_id": "1272733"}, {"ref": "nafisur/sentiment-analysis-for-beginner", "kernel_id": "1266562"}, {"ref": "divsinha/sentiment-analysis-countvectorizer-tf-idf", "kernel_id": "1382089"}, {"ref": "liprandi/movie-review-sentiment-overview", "kernel_id": "1853170"}, {"ref": "occam19/tf-idf-vs-bag-of-words", "kernel_id": "1773850"}, {"ref": "lalitsomnathe/comp-review-analysis", "kernel_id": "1286012"}, {"ref": "kagglejwang/test-of-sentiment", "kernel_id": "1386511"}, {"ref": "arushps/movie-sentiment-for-most-used-words", "kernel_id": "1246985"}, {"ref": "arushps/fork-of-movie-sentiment-for-most-used-words", "kernel_id": "1282290"}, {"ref": "yashmaxnet/basic-bilstm", "kernel_id": "1433259"}, {"ref": "iconix/ulmfit-for-rotten-tomatoes", "kernel_id": "1258765"}, {"ref": "jayachandra1221/rnn-lstm", "kernel_id": "1461123"}, {"ref": "jayachandra1221/text-classification-multi-class", "kernel_id": "1314074"}, {"ref": "meenavyas/movie-review-sentiment-analysis-rotten-tomato-ds", "kernel_id": "1966851"}, {"ref": "miklgr500/bi-gru-conv-glove", "kernel_id": "1262132"}, {"ref": "bsivavenu/movie-review-sentiment-eda", "kernel_id": "1195892"}, {"ref": "snehithatiger/movie-review-sentiment-analysis", "kernel_id": "1307047"}, {"ref": "mogady/nlp-visualization-ml-dl", "kernel_id": "1964723"}, {"ref": "bhavikapanara/movie-reviews-feature-engineering", "kernel_id": "1600887"}, {"ref": "bhavikapanara/movie-reviews-lb-0-6889", "kernel_id": "1639473"}, {"ref": "parth05rohilla/bi-lstm-and-cnn-model-top-10", "kernel_id": "1269919"}, {"ref": "parth05rohilla/sentiment-analysis-using-7-different-techniques", "kernel_id": "1310514"}, {"ref": "hamishdickson/bidirectional-lstm-in-keras-with-glove-embeddings", "kernel_id": "1746071"}, {"ref": "hamishdickson/cnn-for-sentence-classification-by-yoon-kim", "kernel_id": "1758496"}, {"ref": "laowingkin/lstm-for-sentiment-analysis", "kernel_id": "1458022"}, {"ref": "laowingkin/movie-sentiment-bi-lstm-gru-tfidf-lb-0-65837", "kernel_id": "1555147"}, {"ref": "tingkai/ulmfit-for-rotten-tomatoes", "kernel_id": "1359715"}, {"ref": "pantherpanther/simple-1d-cnn-with-glove-twitter-embeddings", "kernel_id": "1585451"}, {"ref": "darkgeekms/movie-review-sentiment-analysis", "kernel_id": "1214487"}, {"ref": "zzwzyt/bow-lrcv1", "kernel_id": "1255764"}, {"ref": "zzwzyt/bow-lr", "kernel_id": "1255812"}, {"ref": "saumyaraj1/movie-sentiment-analysis", "kernel_id": "1554341"}, {"ref": "tarunpaparaju/movie-review-sentiment-predictor-bigru-glove", "kernel_id": "1710205"}, {"ref": "tarunpaparaju/movie-review-sentiment-predictor-bigru-glove-v2", "kernel_id": "1711184"}, {"ref": "kumarabhishekone/keras-sequential", "kernel_id": "1264322"}, {"ref": "zhuifengmu/cnn-classification-with-pre-trained-wordvec2", "kernel_id": "1470757"}, {"ref": "zhuifengmu/lstm-baseline-tf", "kernel_id": "1515607"}, {"ref": "beatricecai/nlp-sentiment-analysis-movie-review", "kernel_id": "1636287"}, {"ref": "stieranka/text-analysis-operations-using-nltk", "kernel_id": "1765217"}, {"ref": "haohhxx/kernele5d4cd1409", "kernel_id": "1633408"}, {"ref": "nitikakamboj/movie-sentiment-analysis", "kernel_id": "1287084"}, {"ref": "medharawat/rotten-sentiment-easy-way", "kernel_id": "1301578"}, {"ref": "medharawat/sentisentiments", "kernel_id": "1610768"}, {"ref": "shrikantds/lstm-cnn-gru-bidirectional-in-keras", "kernel_id": "1849021"}, {"ref": "dhirus/keras-models-lstm-cnn-gru-bidirectional-glove", "kernel_id": "1484585"}, {"ref": "atrisaxena/basic-keras-lstm-model-on-movie-review-sentiment", "kernel_id": "1273330"}, {"ref": "raynem/fork-of-fasttext-gru", "kernel_id": "1909174"}, {"ref": "faizunnabi/eda-movie-reviews-sentiments", "kernel_id": "1232339"}, {"ref": "ruoqingsun/movie-review-sentiment-analysis-keras-lstm-ann", "kernel_id": "1633505"}, {"ref": "ruoqingsun/fast-basic-lstm-net-with-proper-k-fold-tf-idf", "kernel_id": "1668668"}, {"ref": "jiaoza/logistic-regression", "kernel_id": "1683719"}, {"ref": "souravmangla/keras-models-lstm-cnn-gru-bidirectional-glove", "kernel_id": "1286384"}, {"ref": "rajparikh/naive-bayes", "kernel_id": "1616696"}, {"ref": "akshaynalwaya/sentiment-analysis-for-movie-reviews", "kernel_id": "1693149"}, {"ref": "ruthwikmasina/sentiment-analysis-lstm", "kernel_id": "1264178"}, {"ref": "antmarakis/glove-bi-gru", "kernel_id": "1232169"}, {"ref": "antmarakis/bidirectional-gru-model", "kernel_id": "1230203"}, {"ref": "antmarakis/cnn-baseline-model", "kernel_id": "1228634"}, {"ref": "boomberung/simple-feauters-cnn", "kernel_id": "1926263"}, {"ref": "varunsharmaml/sentiment-analysis-with-pretrained-word2vec", "kernel_id": "1575324"}, {"ref": "varunsharmaml/movie-review-sentiments-keras-bilstm-no-word2vec", "kernel_id": "1566221"}, {"ref": "frlhell/sentiment-analysis-text-cnn-tensorflow", "kernel_id": "1525054"}, {"ref": "jinsakuma/movie-sentimental", "kernel_id": "1654186"}, {"ref": "dhavaltaunk/sentiment-analysis-using-lstm", "kernel_id": "1705154"}, {"ref": "santoshbothe/movie-review-sentiment-analysis-eda-and-models", "kernel_id": "1667320"}, {"ref": "nonreviad/residual-bigru-with-l2-regularisation", "kernel_id": "1478245"}, {"ref": "mehulgupta2016154/fork-of-littlehelp-e87ebe", "kernel_id": "1321576"}, {"ref": "atefjr/sentiment-analysis-on-movie-reviews-lstm-glove", "kernel_id": "1304708"}, {"ref": "vipul92/sentiment-analysis-movie-review-keras-lstm", "kernel_id": "1555798"}, {"ref": "josh24990/deep-learning-for-sentiment-analysis-top-25", "kernel_id": "1561551"}, {"ref": "zhangzhixiang/cnn-and-lstm", "kernel_id": "1719823"}, {"ref": "babbler/cross-validation-considerations", "kernel_id": "1624469"}, {"ref": "diff77/features-from-words-n-gram-chars-together", "kernel_id": "1437167"}, {"ref": "kasmithh/sentiment-challenge", "kernel_id": "1399058"}, {"ref": "vipul4322/nlp-notebook", "kernel_id": "1509333"}, {"ref": "sanket30/movie-review-sentiment-analysis-lstm", "kernel_id": "1407233"}, {"ref": "dinuuu/best-review-using-nlp", "kernel_id": "1259619"}, {"ref": "tandonarpit6/movie-review-sentiment-analysis", "kernel_id": "1640416"}, {"ref": "zhoulingyan0228/review-sentiment-fasttext-lstm-vs-cnn", "kernel_id": "1416995"}, {"ref": "dangvinh/word2vec-feature-with-cnn-model", "kernel_id": "1402650"}, {"ref": "quantnickhuang/test4-py", "kernel_id": "1717659"}, {"ref": "icdijdi/my-notebook", "kernel_id": "1389362"}, {"ref": "icdijdi/try-rnn-with-lstm", "kernel_id": "1426206"}, {"ref": "mpphughes/simple-solution-with-tf-idf-and-rf", "kernel_id": "1524330"}, {"ref": "ronggen/lstm-for-sentiment-analysis-on-movie-reviews", "kernel_id": "1344277"}, {"ref": "ronggen/movies", "kernel_id": "1399446"}, {"ref": "ronggen/movie-sentiment", "kernel_id": "1397044"}, {"ref": "luungoc2005/using-tfhub-text-classification-model", "kernel_id": "1355343"}, {"ref": "anihaldaran/movie-sentiment", "kernel_id": "1467231"}, {"ref": "myidispg/sentiment-analysis-logistic-regression", "kernel_id": "1715246"}, {"ref": "pranika/movie-review-sentiment-analysis-eda-and-mod-f8350a", "kernel_id": "1726065"}, {"ref": "hdj0401/stacking-classifier-testing", "kernel_id": "1726508"}, {"ref": "anne1212/kerneld5cc24cc71", "kernel_id": "1447284"}, {"ref": "kaixiongg/submit-py", "kernel_id": "1464321"}, {"ref": "mukesh62/movie-review-sentiment-analysis-eda-and-models", "kernel_id": "1424273"}, {"ref": "dmarino1/tableaux", "kernel_id": "1457601"}, {"ref": "ianyi1/submission-2", "kernel_id": "1709107"}, {"ref": "vaibhav2201/eda-cleaning-keras-lstm-clustering-vs", "kernel_id": "1793310"}, {"ref": "praxitelisk/moviereview-3-ml-and-pre-trained-embeddings", "kernel_id": "2512325"}, {"ref": "praxitelisk/moviereview-5-dl-and-pre-trained-embeddings", "kernel_id": "2524397"}, {"ref": "praxitelisk/moviereview-1-eda-and-unsupervised-learning", "kernel_id": "2556938"}, {"ref": "praxitelisk/moviereview-2-ml-and-tf-idf", "kernel_id": "2454260"}, {"ref": "praxitelisk/moviereview-4-dl-and-train-word-embeddings", "kernel_id": "2435751"}, {"ref": "abhisek11/movie-sentiment-using-lstm", "kernel_id": "2117647"}, {"ref": "earthshaker/lstm-cnn-glove-bidirectional-gru-aggregation", "kernel_id": "2392442"}, {"ref": "ajithvajrala/text-classification-using-word-embedding", "kernel_id": "2678507"}, {"ref": "yaminimini/movie-review-analysis1", "kernel_id": "2233834"}, {"ref": "bbolla/moview-review-h2o", "kernel_id": "2263016"}, {"ref": "dromosys/fast-ai-movie-review", "kernel_id": "2438310"}, {"ref": "hexadd5/kernel00c3ca9c9a", "kernel_id": "2810179"}, {"ref": "tarunpaparaju/movie-review-sentiment-with-bigru-capsule", "kernel_id": "2575146"}, {"ref": "keyit92/sentiment-cnn-rnn-atte-rnn-cnn-rnn-hiercnn", "kernel_id": "2731882"}, {"ref": "keyit92/sentiment-recursive-nn-trained-on-parsing-tree", "kernel_id": "2797417"}, {"ref": "keyit92/seq-tree-hybrid-lstm-model-for-sentiment-analysis", "kernel_id": "2886970"}, {"ref": "maheshas88/movie-review-with-word2vec-and-randomforest", "kernel_id": "2309262"}, {"ref": "maheshas88/movie-review-prediction-with-lstms", "kernel_id": "2303948"}, {"ref": "javaidnabi/fast-ai", "kernel_id": "2925491"}, {"ref": "aaneloy/movie-review-sentiment-analysis", "kernel_id": "2551897"}, {"ref": "dickdanieljr/movie-review-sentiment-with-pytorch", "kernel_id": "2063699"}, {"ref": "ryoyamamoto/2019-02-21-movie-sentiment-analysis", "kernel_id": "3025591"}, {"ref": "parikansh98/kernelc9b76f1d69", "kernel_id": "3516027"}, {"ref": "toraaglobal/sentiment-analysis-mnb", "kernel_id": "3155572"}, {"ref": "ilyabusov/kernel47483d5ed1", "kernel_id": "3517807"}, {"ref": "anuragshas/movie-review-sentiment-analysis", "kernel_id": "3296073"}, {"ref": "ullindala/weakly-supervised", "kernel_id": "3144044"}, {"ref": "taeyoukim/nlp2-attention-based-lstm", "kernel_id": "3842343"}, {"ref": "thehemen/bilstm-cnn-multi-model-ensemble", "kernel_id": "3715454"}, {"ref": "thehemen/bilstm-cnn-multi-input-model", "kernel_id": "3708128"}, {"ref": "samarthsarin/simple-lstm-and-embeddings", "kernel_id": "3668256"}, {"ref": "asadurski/movie-reviews-dataset-experiments", "kernel_id": "3287428"}, {"ref": "duykhanh99/bidirectional-lstm-cnn-attention-model", "kernel_id": "3853374"}, {"ref": "hrush777/kernel8950d173c8", "kernel_id": "3466584"}, {"ref": "negi009/movie-sentimental-analysis-ongoing", "kernel_id": "3682910"}, {"ref": "rogierr2/kernel4e10b47cea", "kernel_id": "3651359"}, {"ref": "subh1m/movie-review-sentiment-analysis-first-kernel-sub", "kernel_id": "4926866"}, {"ref": "usman189/fast-basic-lstm", "kernel_id": "4691133"}, {"ref": "mukeshbisht/movie-review-sentiment-analysis", "kernel_id": "4039062"}, {"ref": "zhouqiangwang/movie-review-sentiment-analysis-rt-imdb", "kernel_id": "4382444"}, {"ref": "shahkan/movie-prediction-tree-classifier", "kernel_id": "4679976"}, {"ref": "birajsth/text-sentiment-analysis", "kernel_id": "4321255"}, {"ref": "fschilder/going-to-the-movies-with-bert", "kernel_id": "5711820"}, {"ref": "bhaweshchandola/logistic-regression", "kernel_id": "5348136"}, {"ref": "bhaweshchandola/keras-ltsm", "kernel_id": "5383878"}, {"ref": "harshkoder/sentiment-analysis", "kernel_id": "5311013"}, {"ref": "tanmay111/movie-sentiment-analysis", "kernel_id": "5921377"}, {"ref": "purnarao/movie-review", "kernel_id": "5170184"}, {"ref": "kap160330/movie-review-analysis-final", "kernel_id": "5981874"}, {"ref": "rahulvks/distilbert-text-classification", "kernel_id": "6835740"}, {"ref": "guidosalimbeni/sentiment-analysis-with-keras", "kernel_id": "6611522"}, {"ref": "saeedtqp/moviereviewsentiment-analysis-attention-based-lstm", "kernel_id": "6898366"}, {"ref": "saeedtqp/movie-review-sentiment-attention-based-lstm", "kernel_id": "6898730"}, {"ref": "zhangguoxiao/independent-work-movie-review-sentiment-analytics", "kernel_id": "6239926"}, {"ref": "aakanshaneema/kernel51cf70c314", "kernel_id": "6233357"}, {"ref": "rekhadevi/sentimentanalysis-tfidf-countvectorizer", "kernel_id": "6787087"}, {"ref": "neeraj17/movie-sentiment-keras", "kernel_id": "7552142"}, {"ref": "neeraj17/lstm-using-pretrained-embeddings", "kernel_id": "7685976"}, {"ref": "ashishgupta25/sentiment-analysis-models", "kernel_id": "7353797"}, {"ref": "roshninaidu/nlp-moviereviews", "kernel_id": "7206001"}, {"ref": "pnidhi26/movie-review-sentiment-analysis", "kernel_id": "8310329"}, {"ref": "pnidhi26/sentiment-analysis-using-lstm", "kernel_id": "8308670"}, {"ref": "itsmeprasanna/movie-review-sentiment-analysis-for-beginners", "kernel_id": "8645225"}, {"ref": "kanav0183/kernel19ef80d53e", "kernel_id": "9296229"}, {"ref": "sammir/end-to-end-nlp-process-with-sentiment-analysis", "kernel_id": "9801435"}, {"ref": "dhanushreeb96/kernel7feb756167", "kernel_id": "9429541"}, {"ref": "shubham10i/movie-review-sentiment-analysis", "kernel_id": "9732944"}, {"ref": "apoorvakore23/movies-reviews-prediction-sentiment-analysis", "kernel_id": "9652057"}, {"ref": "aman2000jaiswal/movie-review-28-05-2020", "kernel_id": "9755946"}, {"ref": "adhirajbhagawati/sentiment-analysis-ensemble", "kernel_id": "9992824"}, {"ref": "pranaykankariya/movie-review-sentiment-analysis", "kernel_id": "11956801"}, {"ref": "dahouda/movie-reviews", "kernel_id": "12793600"}, {"ref": "deepakat002/simpletransformers-multiclass-sentiment-analysis", "kernel_id": "12300844"}, {"ref": "mohamedfarag96/deep-learning-for-nlp", "kernel_id": "12113437"}, {"ref": "razintailor/basic-eda-on-the-movie-review-dataset", "kernel_id": "13114743"}, {"ref": "dormann/cnn-vs-lstm-movie-review-classification", "kernel_id": "13265991"}, {"ref": "f4khorf4f4/tugas-akhir-tki", "kernel_id": "13416746"}, {"ref": "danukatheja/movie-reviews-sentiment-analysis", "kernel_id": "13400312"}, {"ref": "sorraponmongkonsook/movie-sentiment-analysis", "kernel_id": "14986720"}, {"ref": "raghav2002sharma/sentiment-classifier-with-cnn-bi-lstm", "kernel_id": "16064225"}, {"ref": "shuxinzhou/cs152sp21lab7-phuong-shuxin", "kernel_id": "16598070"}, {"ref": "saatvik7/cs152sp21lab7-benjamin-saatvik-ipynb", "kernel_id": "16766787"}, {"ref": "lxd1997/movieclassbert", "kernel_id": "18589279"}, {"ref": "aiboaibo/notebookbertclassification", "kernel_id": "18399983"}, {"ref": "vijaysiyer/movie-review-sentiment-analysis", "kernel_id": "19813584"}, {"ref": "patrickb1912/naive-bayes-for-movie-reviews-sentiments", "kernel_id": "20362536"}, {"ref": "lienchibaob1812254/analysis-dataset-sentiment-movie-acc-90-method-5", "kernel_id": "21060858"}, {"ref": "shubhamtripathi15/fork-of-shubham", "kernel_id": "23283171"}, {"ref": "mingming36/attention", "kernel_id": "25133209"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "gastonmichelotti/sentiment-analysis-movie-review", "kernel_id": "36524154"}, {"ref": "bkowshik/cohere-llm-university-text-classification", "kernel_id": "40373372"}, {"ref": "makowtoms/lstm-using-pretrained-embeddings", "kernel_id": "42520264"}, {"ref": "linyaungzin/seniment-analysis-with-bert-using-dataloader", "kernel_id": "43931460"}, {"ref": "linyaungzin/sentiment-analysis-with-bert-lightgbm", "kernel_id": "43898228"}, {"ref": "gargisathe/sentiment-analysis-using-7-different-techniques", "kernel_id": "44716983"}, {"ref": "panutchakornleklert/sentiment-prediction-with-nn-and-naive-bayes", "kernel_id": "47402480"}, {"ref": "omarshaaban2/movie-review-sentiment-analysis-roberta-pretrained", "kernel_id": "54779177"}, {"ref": "omarelg/sentiment-analysis-on-movie-reviews", "kernel_id": "56761353"}, {"ref": "hamhyeongbin/sentiment", "kernel_id": "65395212"}, {"ref": "souhaylahaddioui/eda-cleaning-keras-lstm-clustering", "kernel_id": "73523774"}, {"ref": "yukaijia/bi-lstm-and-cnn-model-top-10", "kernel_id": "81102274"}, {"ref": "luismtzmx96/predicci-n-de-rese-as-positivas-y-negativas-usando", "kernel_id": "106991973"}]}
{"competition_id": "10038", "kernels": [{"ref": "echowuhao/flexible-lead-lag-feature-generation", "kernel_id": "1833656"}, {"ref": "comsaint/an-illustration-of-leak-matching-fid-and-cid", "kernel_id": "1940349"}, {"ref": "sudalairajkumar/simple-exploration-baseline-ga-customer-revenue", "kernel_id": "1638462"}, {"ref": "kailex/group-xgb-for-gstore-v2", "kernel_id": "1651315"}, {"ref": "kailex/r-eda-for-gstore-glm-keras-xgb", "kernel_id": "1651380"}, {"ref": "mrooijer/target-values-for-v2-test-should-be-public", "kernel_id": "1893897"}, {"ref": "mrooijer/replicate-oliviers-two-stage-in-r", "kernel_id": "1851416"}, {"ref": "ceshine/wip-visitor-level-data-visualization", "kernel_id": "1806634"}, {"ref": "danofer/quick-customer-revenue-data-munge", "kernel_id": "1646688"}, {"ref": "danofer/user-level-lightgbm-6876df", "kernel_id": "1656729"}, {"ref": "danofer/user-level-lightgbm", "kernel_id": "1656629"}, {"ref": "pranand/data-exploration", "kernel_id": "1807730"}, {"ref": "pranand/eda-google", "kernel_id": "1819031"}, {"ref": "masato/convert-json-columns-into-separated-columns", "kernel_id": "1639939"}, {"ref": "arunsankar/key-insights-from-google-analytics", "kernel_id": "1652839"}, {"ref": "arunsankar/import-data-and-convert-into-table-format", "kernel_id": "1983084"}, {"ref": "uriushi/read-include-json-column-data-using-tidyverse", "kernel_id": "1648853"}, {"ref": "marked/r-data-processing", "kernel_id": "1649385"}, {"ref": "marked/using-r-tidyeval-to-expand-json-into-columns", "kernel_id": "1644558"}, {"ref": "nishantguptadotnet/nlp-with-python-part-i", "kernel_id": "1734395"}, {"ref": "yassinealouini/start-here-features-engineering-pipeline", "kernel_id": "1757068"}, {"ref": "yassinealouini/eda-and-benchmark-model-101", "kernel_id": "1704503"}, {"ref": "ogakulov/feature-engineering-step-by-step", "kernel_id": "1694473"}, {"ref": "neilzhang/ga-customer-revenue-prediction-exploration-wip", "kernel_id": "1651106"}, {"ref": "nakapoor/simple-data-analysis-on-ga-customer-revenue", "kernel_id": "1812634"}, {"ref": "nakapoor/simple-missing-data-analysis-gacrp", "kernel_id": "1787919"}, {"ref": "scirpus/to-overcome-the-terrible-data", "kernel_id": "1650122"}, {"ref": "scirpus/libffm-munging", "kernel_id": "1667152"}, {"ref": "scirpus/gp-with-oliviers-script", "kernel_id": "1907308"}, {"ref": "scirpus/teach-lightgbm-to-sum-predictions-with-gp", "kernel_id": "1779819"}, {"ref": "scirpus/feature-fest-with-genetic-programming", "kernel_id": "1800107"}, {"ref": "scirpus/explaining-disparity-between-cv-and-the-lb", "kernel_id": "1800842"}, {"ref": "scirpus/a-bit-of-gp-clustering", "kernel_id": "1699792"}, {"ref": "kostya23/data-table-foreach-data-preparation", "kernel_id": "1945036"}, {"ref": "iuga77/r-quick-start-and-setup-1-4gb-to-242mb", "kernel_id": "1660376"}, {"ref": "krsnewwave/my-baseline-solution", "kernel_id": "1869161"}, {"ref": "artemklevtsov/fetch-competition-data-with-r", "kernel_id": "1788725"}, {"ref": "jitesh03/first-model-2-variables-1-6990", "kernel_id": "1847253"}, {"ref": "axelstram/basic-eda", "kernel_id": "1638072"}, {"ref": "super13579/basic-feature-analysis-date-categorical-revenue", "kernel_id": "1940453"}, {"ref": "super13579/revisit-one-hot-ranking", "kernel_id": "1985260"}, {"ref": "vanausloos/user-level-lightgbm-lb-1-4480", "kernel_id": "1813818"}, {"ref": "vanausloos/eda-and-lgb", "kernel_id": "1656424"}, {"ref": "vanausloos/ga-bigquery-starter-kernel", "kernel_id": "1652328"}, {"ref": "vanausloos/eda-and-light-gradient-boosting", "kernel_id": "1652476"}, {"ref": "loganathanspr/eda-ga-customer-revenue-prediction", "kernel_id": "1773732"}, {"ref": "mmotoki/make-r-great-again", "kernel_id": "1644235"}, {"ref": "bexleymike/google-analytics-revenue-prediction", "kernel_id": "1650710"}, {"ref": "jpmiller/finding-patterns-in-the-scored-targets", "kernel_id": "1642585"}, {"ref": "jpmiller/profile-of-train-set-in-25-lines", "kernel_id": "1637672"}, {"ref": "jpmiller/go-with-the-flow-lb-1-447", "kernel_id": "1714249"}, {"ref": "nulldata/ga-eda-digital-analytics-h2o-rf-1-77-lb", "kernel_id": "1642717"}, {"ref": "captcalculator/a-very-extensive-gstore-exploratory-analysis", "kernel_id": "1648963"}, {"ref": "mithrillion/fixing-conflicts-in-the-geonetwork-attributes", "kernel_id": "1686486"}, {"ref": "mithrillion/gstore-revenue-data-preprocessing", "kernel_id": "1685545"}, {"ref": "mithrillion/finding-useful-information-in-missingness", "kernel_id": "1708793"}, {"ref": "mithrillion/geonetwork-feature-conflict-resolution", "kernel_id": "1751178"}, {"ref": "mithrillion/semi-declarative-feature-cleaning-and-enginnering", "kernel_id": "1751255"}, {"ref": "mithrillion/non-stationarities-in-feature-time-series", "kernel_id": "1759896"}, {"ref": "indranilbhattacharya/basic-catboost-in-r", "kernel_id": "1643791"}, {"ref": "zaburo/visitid-seems-to-be-broken", "kernel_id": "1669382"}, {"ref": "tunguz/yareda-yet-another-revenue-eda", "kernel_id": "1642941"}, {"ref": "tunguz/simple-mean", "kernel_id": "1637020"}, {"ref": "ranjeetjain3/exploratory-google-store-analysis", "kernel_id": "1821354"}, {"ref": "justanothercoder/kernel1fbefb4fe8", "kernel_id": "1871616"}, {"ref": "lipann/fork-of-data-analysis-fe-lgbm-only-fe-mmp-msu", "kernel_id": "1871875"}, {"ref": "lipann/data-analysis-fe-lgbm-mmp-msu", "kernel_id": "1856638"}, {"ref": "itasarom/kernel12fbc709e8", "kernel_id": "1870118"}, {"ref": "johnfarrell/gacrp-simple-lgb-custom-metric", "kernel_id": "1659228"}, {"ref": "bebold92/exploring-all-of-the-data-google-store", "kernel_id": "1657712"}, {"ref": "afaist/preliminary-data-processing", "kernel_id": "1735834"}, {"ref": "statchaitya/general-eda-of-google-data", "kernel_id": "1682839"}, {"ref": "dhuwaaragesh/eda-and-cleaning", "kernel_id": "1709465"}, {"ref": "laleh83/gstore-revenue-prediction-laleh-s-version", "kernel_id": "1711658"}, {"ref": "oneraghavan/google-analytics-customer-revenue-eda-baseline", "kernel_id": "1706829"}, {"ref": "ogrellier/teach-lightgbm-to-sum-predictions", "kernel_id": "1756010"}, {"ref": "ogrellier/using-classification-for-predictions", "kernel_id": "1714132"}, {"ref": "ogrellier/create-extracted-json-fields-dataset", "kernel_id": "1716125"}, {"ref": "ogrellier/i-have-seen-the-future", "kernel_id": "1808565"}, {"ref": "ogrellier/user-level-lightgbm-lb-1-4480", "kernel_id": "1654932"}, {"ref": "dks1994/what-happened-in-january-2017", "kernel_id": "1869116"}, {"ref": "mtodisco10/feature-engineering-time-since-last-session", "kernel_id": "1754068"}, {"ref": "nikser/simple-user-level-model-for-homework", "kernel_id": "1871265"}, {"ref": "georsara1/covariate-shift-check-up-updated", "kernel_id": "1792048"}, {"ref": "karkun/sergey-ivanov-msu-mmp", "kernel_id": "1870703"}, {"ref": "ssserov/gstore-customers-homework", "kernel_id": "1871982"}, {"ref": "dmitrii1985/kernel-1-4459", "kernel_id": "1868800"}, {"ref": "igauty/1-exploratory-data-analysis", "kernel_id": "1759173"}, {"ref": "igauty/story-of-a-leak-v01", "kernel_id": "1859641"}, {"ref": "igauty/sergey-ivanov-msu-mmp-v02", "kernel_id": "1874239"}, {"ref": "aquatic/flexible-lead-lag-feature-generation", "kernel_id": "1832985"}, {"ref": "ankur310794/data-geek-bot-automated-eda", "kernel_id": "1663183"}, {"ref": "murrrue/revenue-rate-and-cond-revenue-mean", "kernel_id": "1754480"}, {"ref": "juliaelliott/ga-bigquery-starter-kernel", "kernel_id": "1623122"}, {"ref": "kaushikishar/google-analytics-ki-20181005-v4", "kernel_id": "1803325"}, {"ref": "ravann/1-step-by-step-format-data-to-columnar-format", "kernel_id": "1775363"}, {"ref": "ravann/2-working-on-dataset", "kernel_id": "1782451"}, {"ref": "ldmtwo/simple-data-loader-and-parser", "kernel_id": "1842731"}, {"ref": "gowrishankarin/interactive-eda-using-plotly", "kernel_id": "1696818"}, {"ref": "arpitsinha/complete-eda-cleaning-lgb-model", "kernel_id": "1917998"}, {"ref": "tyburam/googleanalytics-randomforestregression", "kernel_id": "1735138"}, {"ref": "nonserial/r-data-table-lgb-tweedie-reg-lb-1-56", "kernel_id": "1935444"}, {"ref": "nikitpatel/lightgbm-with-best-hyperparameter-tuning", "kernel_id": "1784031"}, {"ref": "sathvisiva/ga-customer-revenue-eda", "kernel_id": "1639419"}, {"ref": "canb12/google-analytics-initial-eda", "kernel_id": "1882282"}, {"ref": "clair14/stack-more-models-lgbm-xgb-catboost", "kernel_id": "1850596"}, {"ref": "clair14/lgbm-bayesianoptimization", "kernel_id": "1669929"}, {"ref": "camnugent/clean-data-and-save-matrix-to-file", "kernel_id": "1900898"}, {"ref": "camnugent/converting-json-columns-in-dataframe", "kernel_id": "1663773"}, {"ref": "artgor/eda-on-basic-data-and-lgb-in-progress", "kernel_id": "1638912"}, {"ref": "artgor/nn-baseline", "kernel_id": "1681497"}, {"ref": "artgor/lgb-and-feature-generation", "kernel_id": "1712006"}, {"ref": "alekseydumbay/i-have-seen-the-future-modification-for-learning", "kernel_id": "1870444"}, {"ref": "ezornow/gstore-skeleton", "kernel_id": "1681906"}, {"ref": "ranjanabhay/google-customer-revenue-prediction", "kernel_id": "1916091"}, {"ref": "snekman/schekalev-hw-mmp-msu", "kernel_id": "1876004"}, {"ref": "gpreda/ga-customer-revenue-simple-lightgbm", "kernel_id": "1656543"}, {"ref": "gpreda/google-analytics-customer-revenue-extensive-eda", "kernel_id": "1642940"}, {"ref": "maxbourdon/kodryan-mmp-msu-gacrp-my-best", "kernel_id": "1868187"}, {"ref": "savanmorya/google-analytics-customer-revenue-prediction", "kernel_id": "1931682"}, {"ref": "glebmaslyak/kernel7573c78c85", "kernel_id": "1872795"}, {"ref": "nikitayudin/my-homework-v2", "kernel_id": "1874216"}, {"ref": "gongheayng/01-eda", "kernel_id": "1640592"}, {"ref": "gongheayng/02-data-analysis", "kernel_id": "1653672"}, {"ref": "gongheayng/03-baseline-model", "kernel_id": "1654816"}, {"ref": "smasar/featureevaluation-randomforest", "kernel_id": "1941101"}, {"ref": "smasar/tutorial-preprocessing-processing-evaluation", "kernel_id": "1770945"}, {"ref": "tundraman/eda-kernel-for-google-analytics-revenue-prediction", "kernel_id": "1659516"}, {"ref": "fabiendaniel/lgbm-starter", "kernel_id": "1641023"}, {"ref": "hyperc/google-analytics-customer-revenue-prediction-eda", "kernel_id": "1720938"}, {"ref": "ashishpatel26/1-43-plb-feature-engineering-best-model-combined", "kernel_id": "1641522"}, {"ref": "ashishpatel26/now-you-see-me", "kernel_id": "1639801"}, {"ref": "ashishpatel26/1-23-pb-first-try-to-think", "kernel_id": "1645758"}, {"ref": "ashishpatel26/permutation-importance-feature-imp-measure-gacrp", "kernel_id": "1702457"}, {"ref": "ashishpatel26/light-gbm-with-cross-validation-approach", "kernel_id": "1723946"}, {"ref": "ashishpatel26/updated-bayesian-lgbm-xgb-cat-fe-kfold-cv", "kernel_id": "1768678"}, {"ref": "ashishpatel26/future-is-here", "kernel_id": "1819167"}, {"ref": "nicapotato/what-makes-a-super-spender", "kernel_id": "1660113"}, {"ref": "usmanabbas/flatten-columns-remove-columns-before-normalizing", "kernel_id": "1789711"}, {"ref": "jpnewmenji/eda-clustering-80-20-rule", "kernel_id": "1645786"}, {"ref": "kartik31/garcb-prdiction-lgb", "kernel_id": "1741182"}, {"ref": "mrknoot/gstore-crafting-models-manual-features-xgb", "kernel_id": "1941449"}, {"ref": "jordanhowell/g-store-data-prep-first-kernel-ever", "kernel_id": "1595452"}, {"ref": "prashanththangavel/exploring-the-googliness", "kernel_id": "1654501"}, {"ref": "prashanththangavel/unique-session-counts-helps-sure-lb-1-6647", "kernel_id": "1699953"}, {"ref": "timofeev/estimating-new-rules-with-demo-account", "kernel_id": "1893697"}, {"ref": "rochellesilva/make-it-simple-look-at-data-create-model-in-r", "kernel_id": "1789225"}, {"ref": "jingqliu/basic-data-cleaning-and-json-loading", "kernel_id": "1656127"}, {"ref": "ambitious/leaky-homework-khrylchenko-kirill-msu-mmp", "kernel_id": "1869533"}, {"ref": "tatianass/google-customer-revenue-eda-with-tableau", "kernel_id": "1699724"}, {"ref": "tatianass/gbm-google-store-revenue", "kernel_id": "1754935"}, {"ref": "hchiao1/google-competition-testing", "kernel_id": "1904956"}, {"ref": "arjundas/first-try", "kernel_id": "1794741"}, {"ref": "vkgpt11/lgbm-with-feature-eng-and-cleaning-lb-1-4420", "kernel_id": "1722064"}, {"ref": "sriharinitumu/light-gbm-with-hurdle-modelling", "kernel_id": "1652740"}, {"ref": "subhamkapoor360/xgbregressor", "kernel_id": "1849382"}, {"ref": "sammir/gstore-data-preparation-analysis-random-forest", "kernel_id": "1898654"}, {"ref": "rcrawler/simple-way-to-flatten-the-json-columns", "kernel_id": "1647997"}, {"ref": "pnprabakaran/feature-selection-before-hand-lightgbm", "kernel_id": "1853034"}, {"ref": "mrlong/r-flatten-json-columns-to-make-single-data-frame", "kernel_id": "1639789"}, {"ref": "gtambi/xgboost-using-label-encoder", "kernel_id": "1952169"}, {"ref": "gakngm/ga-statistics-eda-features-selection", "kernel_id": "1647201"}, {"ref": "eminem1147/simple-exploration-baseline-ga-customer-revenue", "kernel_id": "1684431"}, {"ref": "ashufet/kernel-for-saving-files-without-cat-encoding", "kernel_id": "1790952"}, {"ref": "kabure/exploring-the-consumer-patterns-ml-pipeline", "kernel_id": "1790499"}, {"ref": "kabure/google-revenue-predicting-lgbm-modeling", "kernel_id": "1921972"}, {"ref": "jacksmengel/gstore-random-forest-walkthrough", "kernel_id": "1651564"}, {"ref": "mijchou/flattening-json-for-beginners", "kernel_id": "1652423"}, {"ref": "hayata/super-easy-json-parsing", "kernel_id": "1963748"}, {"ref": "johnnyjana730/leak-data-look-around", "kernel_id": "1951330"}, {"ref": "leonzz/google-analytics-customer-revenue", "kernel_id": "1894282"}, {"ref": "yakolle/gs-nn-uv-train-1-4-1", "kernel_id": "1874451"}, {"ref": "yakolle/gs-nn-uv-train-1-8-1", "kernel_id": "1875219"}, {"ref": "yakolle/gs-nn-indi-train-1-13-1-reboot", "kernel_id": "1872751"}, {"ref": "yakolle/gs-nn-indi-train-1-13-2-reboot", "kernel_id": "1872752"}, {"ref": "yakolle/gs-nn-indi-train-1-13-3-reboot", "kernel_id": "1872753"}, {"ref": "yakolle/gs-nn-indi-train-1-18-1-reboot", "kernel_id": "1872772"}, {"ref": "yakolle/gs-nn-indi-train-1-18-3-reboot", "kernel_id": "1872776"}, {"ref": "yakolle/gs-nn-uv-train-1-4-4", "kernel_id": "1883587"}, {"ref": "yakolle/gs-nn-uv-ensemble-1-4", "kernel_id": "1883526"}, {"ref": "yakolle/gs-nn-uv-ensemble-1-8", "kernel_id": "1883648"}, {"ref": "yakolle/gs-nn-uv-train-1-8-3", "kernel_id": "1884483"}, {"ref": "yakolle/gs-nn-uv-train-1-4-5", "kernel_id": "1885788"}, {"ref": "yakolle/gs-nn-uv-train-1-4-2", "kernel_id": "1880595"}, {"ref": "yakolle/gs-nn-uv-train-1-4-1-reboot", "kernel_id": "1880552"}, {"ref": "yakolle/gs-nn-uv-train-1-8-1-reboot", "kernel_id": "1880517"}, {"ref": "yakolle/gs-nn-uv-train-1-4-3", "kernel_id": "1881810"}, {"ref": "yakolle/gs-nn-uv-train-1-8-2", "kernel_id": "1881811"}, {"ref": "yakolle/gs-nn-indi-train-1-7-2", "kernel_id": "1862073"}, {"ref": "yakolle/gs-nn-indi-train-1-7-3", "kernel_id": "1864297"}, {"ref": "yakolle/gs-nn-indi-train-1-18-3", "kernel_id": "1870732"}, {"ref": "yakolle/gs-nn-indi-train-1-18-2", "kernel_id": "1870734"}, {"ref": "yakolle/gs-nn-indi-train-1-18-1", "kernel_id": "1870735"}, {"ref": "yakolle/gs-nn-indi-train-1-13-2", "kernel_id": "1869188"}, {"ref": "yakolle/gs-nn-indi-train-1-13-3", "kernel_id": "1869193"}, {"ref": "yakolle/gs-nn-indi-train-1-7-3-reboot", "kernel_id": "1869121"}, {"ref": "yakolle/gs-nn-indi-train-1-7-2-reboot", "kernel_id": "1869127"}, {"ref": "yakolle/gs-nn-indi-train-1-7-1-reboot", "kernel_id": "1869140"}, {"ref": "yakolle/gs-nn-indi-train-1-13-1", "kernel_id": "1869155"}, {"ref": "yakolle/gs-lgb-indi-train-1-4-1", "kernel_id": "1848407"}, {"ref": "yakolle/gs-lgb-indi-train-1-4-2", "kernel_id": "1848430"}, {"ref": "yakolle/gs-lgb-indi-train-1-4-3", "kernel_id": "1848443"}, {"ref": "yakolle/gs-lgb-indi-train-1-6-1", "kernel_id": "1848451"}, {"ref": "yakolle/gs-lgb-indi-train-1-6-2", "kernel_id": "1848456"}, {"ref": "yakolle/gs-lgb-indi-train-1-6-3", "kernel_id": "1848460"}, {"ref": "yakolle/gs-target-test", "kernel_id": "1845476"}, {"ref": "yakolle/gs-nn-indi-train-1-7-1", "kernel_id": "1855960"}, {"ref": "yakolle/gs-flatten-data-analysis-1", "kernel_id": "1837590"}, {"ref": "yakolle/gs-flatten-data-analysis-2", "kernel_id": "1827755"}, {"ref": "yakolle/gs-nn-uv-train-1-8-4-reboot", "kernel_id": "1893910"}, {"ref": "yakolle/gs-nn-uv-train-1-4-8", "kernel_id": "1894034"}, {"ref": "yakolle/gs-nn-uv-train-1-4-7", "kernel_id": "1891118"}, {"ref": "yakolle/gs-nn-uv-train-1-8-4", "kernel_id": "1890140"}, {"ref": "yakolle/gs-nn-uv-train-1-8-3-reboot", "kernel_id": "1889476"}, {"ref": "yakolle/gs-nn-uv-train-1-4-6", "kernel_id": "1889491"}, {"ref": "yakolle/gs-nn-uv-train-1-4-9", "kernel_id": "1898912"}, {"ref": "yakolle/gs-nn-uv-train-1-8-5", "kernel_id": "1898971"}, {"ref": "yakolle/gs-nn-uv-train-1-4-10", "kernel_id": "1901233"}, {"ref": "yakolle/gs-nn-uv-train-1-8-6", "kernel_id": "1901242"}, {"ref": "yakolle/gs-nn-uv-train-1-8-10", "kernel_id": "1917738"}, {"ref": "yakolle/gs-nn-uv-train-1-8-9", "kernel_id": "1913944"}, {"ref": "yakolle/gs-nn-uv-train-1-8-8", "kernel_id": "1909831"}, {"ref": "yakolle/gs-nn-uv-train-1-8-8-reboot", "kernel_id": "1913395"}, {"ref": "yakolle/gs-nn-uv-train-1-8-7-reboot", "kernel_id": "1908670"}, {"ref": "yakolle/gs-nn-uv-train-1-8-7", "kernel_id": "1905962"}, {"ref": "yakolle/gs-nn-uv-train-1-8-6-reboot", "kernel_id": "1905283"}, {"ref": "yakolle/gs-data-analysis", "kernel_id": "1725203"}, {"ref": "yakolle/gs-flatten-data-analysis", "kernel_id": "1734227"}, {"ref": "yakolle/gs-blend-1", "kernel_id": "1808570"}, {"ref": "yakolle/gs-lgb-uv-submit", "kernel_id": "1816045"}, {"ref": "yakolle/gs-lgb-indi-train-1-1-1", "kernel_id": "1812689"}, {"ref": "yakolle/gs-lgb-indi-train-1-1-2", "kernel_id": "1813072"}, {"ref": "yakolle/gs-lgb-indi-train-1-1-3", "kernel_id": "1813229"}, {"ref": "yakolle/gs-lgb-uv-ensemble-1-1", "kernel_id": "1819381"}, {"ref": "yakolle/gs-lgb-indi-tune-params-idf-reboot", "kernel_id": "1791075"}, {"ref": "yakolle/gs-lgb-tune-param-idf-reboot", "kernel_id": "1791163"}, {"ref": "yakolle/gs-lgb-tune-param-idf", "kernel_id": "1788760"}, {"ref": "yakolle/gs-lgb-indi-tune-params-idf", "kernel_id": "1788241"}, {"ref": "yakolle/gs-get-src-data", "kernel_id": "1761461"}, {"ref": "yakolle/gs-nn-uv-train-1-4-1-plseu-reboot", "kernel_id": "1977074"}, {"ref": "yakolle/gs-nn-uv-train-1-8-1-plseu-reboot", "kernel_id": "1975626"}, {"ref": "yakolle/gs-nn-uv-train-1-8-1-plseu", "kernel_id": "1970996"}, {"ref": "yakolle/gs-nn-indi-train-1-10-1-plseu", "kernel_id": "1970895"}, {"ref": "yakolle/gs-nn-indi-train-1-10-2-plseu", "kernel_id": "1970896"}, {"ref": "yakolle/gs-nn-indi-train-1-10-3-plseu", "kernel_id": "1970898"}, {"ref": "yakolle/gs-nn-uv-train-1-4-1-plseu", "kernel_id": "1970939"}, {"ref": "yakolle/gs-nn-indi-train-1-10-2-plseu-reboot", "kernel_id": "1972877"}, {"ref": "yakolle/gs-nn-indi-train-1-10-1-plseu-reboot", "kernel_id": "1973030"}, {"ref": "yakolle/gs-nn-indi-train-1-10-3-plseu-reboot", "kernel_id": "1973031"}, {"ref": "yakolle/gs-nn-indi-train-1-18-2-reboot", "kernel_id": "1996483"}, {"ref": "qwe1398775315/eda-lgbm-bayesianoptimization", "kernel_id": "1695320"}, {"ref": "ashukr/k-fold-lightgbm", "kernel_id": "1971720"}, {"ref": "youhanlee/which-encoding-is-good-for-time-validation-1-4417", "kernel_id": "1727777"}, {"ref": "youhanlee/features-which-distinguish-train-from-test", "kernel_id": "1810847"}, {"ref": "youhanlee/stratified-sampling-for-regression-lb-1-4627", "kernel_id": "1658269"}, {"ref": "youhanlee/eda-lgbm-for-starter-lb-1-6878", "kernel_id": "1648714"}, {"ref": "julian3833/2-quick-study-lgbm-xgb-and-catboost-lb-1-66", "kernel_id": "1656571"}, {"ref": "julian3833/1-quick-start-read-csv-and-flatten-json-fields", "kernel_id": "1637270"}, {"ref": "rahullalu/gstore-datapreparation-v2-dataset", "kernel_id": "1847251"}, {"ref": "rahullalu/gstore-eda-lgbm-baseline-1-4260", "kernel_id": "1697272"}, {"ref": "adithyakag/1-quick-start-read-csv-and-flatten-json-fields", "kernel_id": "1638935"}, {"ref": "burritodan/gstore-1-flatten", "kernel_id": "1881860"}, {"ref": "dimitreoliveira/deep-learning-keras-ga-revenue-prediction", "kernel_id": "1644098"}, {"ref": "dimitreoliveira/lgbm-google-store-revenue-prediction", "kernel_id": "1673505"}, {"ref": "lucabasa/how-to-import-everything-when-you-have-no-ram", "kernel_id": "1871497"}, {"ref": "rajeshcv/exploratory-data-analysis-and-gbm-prediction-in-r", "kernel_id": "1983939"}, {"ref": "ahbon888/xgboost-starter", "kernel_id": "1649309"}, {"ref": "ahbon888/xgboost-baseline", "kernel_id": "1651175"}, {"ref": "ahbon888/lgb-xgb-catboost-ensemble", "kernel_id": "1800500"}, {"ref": "gbolexx/gstore-exploratory-data-analysis", "kernel_id": "1653034"}, {"ref": "bparesh/updated-eda-using-google-bigquery-sql", "kernel_id": "1659376"}, {"ref": "bhavikapanara/lightgbm-looks-good", "kernel_id": "1645323"}, {"ref": "bhavikapanara/data-preprocessing-eda", "kernel_id": "1641224"}, {"ref": "sklasfeld/truevotenumber", "kernel_id": "1903891"}, {"ref": "prashantkikani/rstudio-lgb-single-model-lb1-6607", "kernel_id": "1662013"}, {"ref": "prashantkikani/rstudio-random-forest", "kernel_id": "1665228"}, {"ref": "prashantkikani/howmuch-train-test-data-are-different", "kernel_id": "1705135"}, {"ref": "prashantkikani/rstudio-deep-learning-approach", "kernel_id": "1684656"}, {"ref": "prashantkikani/teach-lightgbm-to-sum-predictions-fe", "kernel_id": "1758082"}, {"ref": "prashantkikani/rstudio-humble-try-for-autoencoders", "kernel_id": "1744483"}, {"ref": "prashantkikani/ensembling-fe-is-the-answer", "kernel_id": "1787533"}, {"ref": "xitizzz/exploratory-data-analysis-ga-revenue-prediction", "kernel_id": "1911615"}, {"ref": "baoanh/gstore-revenue-predict-lightgbm", "kernel_id": "1849953"}, {"ref": "baoanh/try-to-improve-1-55", "kernel_id": "1855556"}, {"ref": "pantherpanther/cleaning-a-little-bit-diff", "kernel_id": "1826416"}, {"ref": "mamwad/predicting-revenue-clf-reg-lgbm", "kernel_id": "1914966"}, {"ref": "nikitsoftweb/mapping-user-flow-lb-1-447", "kernel_id": "1733450"}, {"ref": "nikitsoftweb/lightgbm-feature-engineering-kfold", "kernel_id": "1793267"}, {"ref": "cican17/gstore-revenue-prediction-first-shot", "kernel_id": "1677510"}, {"ref": "cican17/gstore-prediction-bayesian-optimization", "kernel_id": "1716697"}, {"ref": "bgrad3031/gstore-data-cleaning", "kernel_id": "1644486"}, {"ref": "xavierbourretsicotte/localizing-utc-time-eda-and-walkthrough", "kernel_id": "1761724"}, {"ref": "xavierbourretsicotte/lgbm-error-analysis-negative-downsampling", "kernel_id": "1779662"}, {"ref": "xavierbourretsicotte/kernel-for-file-processing-2", "kernel_id": "1792257"}, {"ref": "xavierbourretsicotte/feature-engineering-analysis-on-tableau", "kernel_id": "1792381"}, {"ref": "xavierbourretsicotte/light-gbm-wip", "kernel_id": "1781526"}, {"ref": "subhankar29/kernel91c558eae0", "kernel_id": "1959761"}, {"ref": "erikbruin/google-analytics-eda-lightgbm-screenshots", "kernel_id": "1647785"}, {"ref": "plasticgrammer/customer-revenue-prediction-v2-playground", "kernel_id": "1638764"}, {"ref": "aks709/data-cleaning-and-elimination-of-unnecessary-data", "kernel_id": "1788428"}, {"ref": "uds5501/answer-inprogress", "kernel_id": "1658536"}, {"ref": "hakkisimsek/plotly-tutorial-4", "kernel_id": "1870093"}, {"ref": "ncarrut/google-lgb", "kernel_id": "1991376"}, {"ref": "trrrrrrrrrrrrt/bibik-mmp-msu-for-learning-purposes", "kernel_id": "1869503"}, {"ref": "pavansanagapati/google-analytics-simple-exploration", "kernel_id": "1640012"}, {"ref": "jsaguiar/complete-exploratory-analysis-all-columns", "kernel_id": "1639256"}, {"ref": "jsaguiar/understanding-traffic-source-in-depth-analysis", "kernel_id": "1666281"}, {"ref": "jsaguiar/parse-json-v2-without-hits-column", "kernel_id": "1651808"}, {"ref": "shivamb/exploratory-analysis-ga-customer-revenue", "kernel_id": "1638760"}, {"ref": "ravikiransm/test1-lgb-catboost", "kernel_id": "1725829"}, {"ref": "thegonm/begginer-cpr-eda", "kernel_id": "1653775"}, {"ref": "pkactuary/parse-json-formatted-features", "kernel_id": "1718996"}, {"ref": "mlisovyi/bigdata-dask-pandas-flat-json-trim-data-upd", "kernel_id": "1640282"}, {"ref": "fjihrak/gacrp-json-into-columns-python", "kernel_id": "1651375"}, {"ref": "chocozzz/ensemble-public-kernels", "kernel_id": "1705189"}, {"ref": "chocozzz/bayesian-optimization-for-lightgbm", "kernel_id": "1716151"}, {"ref": "chocozzz/customer-revenue-eda-time-series", "kernel_id": "1710910"}, {"ref": "chocozzz/lightgbm-version-fork-basic-xgb-for-gstore", "kernel_id": "1685212"}, {"ref": "khhuang/r-baseline-model-tidyverse-xgboost", "kernel_id": "1947857"}, {"ref": "yeuchernxie/eda-session-level-baseline-model", "kernel_id": "1960739"}, {"ref": "juliojuse/simple-exploration-baseline-ga-customer-revenue", "kernel_id": "1727103"}, {"ref": "hanamaruko/customer-revenue", "kernel_id": "1646489"}, {"ref": "ajaykgp12/lgb-with-simple-time-related-features", "kernel_id": "1720187"}, {"ref": "obrienmitch94/reading-json-columns-in-r", "kernel_id": "1638599"}, {"ref": "akshita72/gstore-revenue-eda", "kernel_id": "1647664"}, {"ref": "sz8416/lb-1-4439-gacr-prediction-eda-lgb-baseline", "kernel_id": "1703628"}, {"ref": "adrian1acoran/fork-of-fork-of-simple-exploration-baseline-ga-c", "kernel_id": "1930071"}, {"ref": "adrian1acoran/simple-exploration-baseline-ga-customer-revenue", "kernel_id": "1926876"}, {"ref": "shreyabhandari/data-exploration", "kernel_id": "1812913"}, {"ref": "darryldias/data-exploration-dd8", "kernel_id": "1638084"}, {"ref": "diogomenezesborges/full-depth-eda-analysis", "kernel_id": "1788212"}, {"ref": "wutaomicoo/leaky-homework", "kernel_id": "1890826"}, {"ref": "sanket30/eda-lgbm", "kernel_id": "1666106"}, {"ref": "sanket30/gstore-revenue-prediction-using-bayesian-opt-xgb", "kernel_id": "1658789"}, {"ref": "vik1511/a-simple-data-visualization-lgbm", "kernel_id": "1906329"}, {"ref": "ishaan45/gacrp-exploratory-data-analysis", "kernel_id": "1638965"}, {"ref": "lituokobe/ga-customer-revenue-prediction-data-exploration", "kernel_id": "1794482"}, {"ref": "lituokobe/ga-customer-revenue-prediction-data-processing", "kernel_id": "1926566"}, {"ref": "jaytalati87/which-encoding-is-good-for-time-validation-1-4417", "kernel_id": "1793206"}, {"ref": "satian/story-of-a-leak", "kernel_id": "1857045"}, {"ref": "shankze/ga-eda-visualization-and-lgbm", "kernel_id": "1943967"}, {"ref": "pratikmirani/group-xgb-for-gstore-1-42", "kernel_id": "1934007"}, {"ref": "pratikmirani/pmlightgbm-in-r-time-based-cv", "kernel_id": "1817848"}, {"ref": "samstiyer/parsing-the-json-columns-in-r-tidy-approach", "kernel_id": "1715084"}, {"ref": "depmountaineer/tabularize-and-basic-clean", "kernel_id": "1728284"}, {"ref": "flubber/preprocessing-of-the-v2-datasets", "kernel_id": "1950406"}, {"ref": "socrateskouv/open-json-reduce-filesize-1-4-gb-to-120-mb", "kernel_id": "1668738"}, {"ref": "pendu777/simple-exploration-baseline-ga-customer-revenue", "kernel_id": "1807245"}, {"ref": "yulinzxc/eda-feature-tool-lightgbm", "kernel_id": "1761241"}, {"ref": "zzerozz/lgbm-xgboost-fork-of-i-have-seen-the-future", "kernel_id": "1818956"}, {"ref": "wesleyjr01/ga-challenge-xgboost-permutation-importance", "kernel_id": "1689174"}, {"ref": "wesleyjr01/google-analytics-challenge-data-analisys", "kernel_id": "1670780"}, {"ref": "mukesh62/lgb-fe-groupkfold-cv-xgb", "kernel_id": "1793107"}, {"ref": "knly10/ga-revenue-prediction", "kernel_id": "1762696"}, {"ref": "vishalbajaj2000/google-analytics-first-try-lgbm-lb-1-5986", "kernel_id": "1670944"}, {"ref": "vaibhav2201/1-43-plb-feature-engineering-best-model-combined", "kernel_id": "1793304"}, {"ref": "vaibhav2201/teach-lightgbm-to-sum-predictions", "kernel_id": "1793316"}, {"ref": "eylabs/1-data-process-in-r", "kernel_id": "1640396"}, {"ref": "yaish08/kernel1fcbef3e41", "kernel_id": "1812914"}, {"ref": "mohit2508/mohit-gstore-prediction", "kernel_id": "1850793"}, {"ref": "santoshgaikwad/santosh-google-competition-kernel", "kernel_id": "1791293"}, {"ref": "shireennagdive/shireen-ssecondnotebook", "kernel_id": "1852127"}, {"ref": "andredanielvolschenk/gstore-part-1-data-cleansing-with-v2-data", "kernel_id": "1920901"}, {"ref": "andredanielvolschenk/gstore-part-2-visuals-eda-feature-engineering", "kernel_id": "1927574"}, {"ref": "jeffkayne/google-anal", "kernel_id": "1953243"}, {"ref": "urmilkadakia/google-revenue", "kernel_id": "1921857"}, {"ref": "eglyph/quick-data-summary-using-summarytools", "kernel_id": "1653714"}, {"ref": "cabinns2/google-analytics-eda-lightgbm-screenshots", "kernel_id": "1911290"}, {"ref": "steveandthedogs/sb-googleanalyticscustomerrevenueprediction-data", "kernel_id": "1728939"}, {"ref": "steveandthedogs/sb-googleanalyticscustomerrevenueprediction-v2", "kernel_id": "1802974"}, {"ref": "mittalrohit/kernel6c215377e3", "kernel_id": "1845087"}, {"ref": "tanyeejet/read-csv-and-flatten-json-fields", "kernel_id": "1984215"}, {"ref": "colinpearse/google-analytics-data-without-pesky-json", "kernel_id": "1850415"}, {"ref": "colinpearse/ga-eda-with-pie-scatter-and-baseline-test", "kernel_id": "1887065"}, {"ref": "shravankp/data-preprocessing-and-fitting-lgb-model", "kernel_id": "1965305"}, {"ref": "brucezhaor/kernel-test", "kernel_id": "1756784"}, {"ref": "xaviermaxime/light-gbm-with-simple-engineered-features", "kernel_id": "1767397"}, {"ref": "xaviermaxime/kernel-for-saving-files", "kernel_id": "1772113"}, {"ref": "ksdangwal/ga-kaggle-ksd", "kernel_id": "1812912"}, {"ref": "eduardok/kernel1b9742a32f", "kernel_id": "1867567"}, {"ref": "harinathselvaraj/exploring-the-consumer-patterns-ml-pipeline", "kernel_id": "1951400"}, {"ref": "zydaib/life-is-wonderful-with-machine-learning-lb-1-4139", "kernel_id": "1922592"}, {"ref": "zydaib/try-so-hard", "kernel_id": "1920084"}, {"ref": "viva32105/feather-datafor-google-analytics-competition", "kernel_id": "2200315"}, {"ref": "chockukrishnan/gc-revenue-forecasting", "kernel_id": "2032723"}, {"ref": "mrooijer/missing-data-bayesian-prediction-22-11", "kernel_id": "2099503"}, {"ref": "danofer/make-data-ready-ads", "kernel_id": "2140177"}, {"ref": "pappukrjha/read-data-without-pandas", "kernel_id": "2023637"}, {"ref": "alpapag/approach-for-working-with-the-hits-column-in-r", "kernel_id": "2109238"}, {"ref": "ramonafli/google-analytics-customer-revenue-prediction", "kernel_id": "2001311"}, {"ref": "macsmith/parsing-nested-tables-from-hits-column", "kernel_id": "2266209"}, {"ref": "vinothkumarsubbiah/google-analytics-customer-revenue-prediction", "kernel_id": "2019889"}, {"ref": "super13579/ga-v2-future-purchase-prediction", "kernel_id": "2148997"}, {"ref": "valkling/google-analytics-data-analysis-eda", "kernel_id": "2304352"}, {"ref": "elhamdaouiabdelmajid/merge-train-test-v2-generate-the-submission-file", "kernel_id": "2071352"}, {"ref": "tiagos/ga-experiment", "kernel_id": "2083559"}, {"ref": "paulorzp/one-line-in-r-script-privatelb-0-88843", "kernel_id": "2246846"}, {"ref": "paulorzp/perfect-score-one-line-without-semicolon", "kernel_id": "2062250"}, {"ref": "nehaboob/gstore-only-hits-flatten-with-array-handling", "kernel_id": "2109029"}, {"ref": "kaushikishar/fork-of-google-analytics-ki-20181005-v4-b0459f", "kernel_id": "2004348"}, {"ref": "artgor/fork-of-eda-on-basic-data-and-lgb-in-progress", "kernel_id": "2101800"}, {"ref": "leviyu/gcrevenue-feature-extraction-with-multiprocess", "kernel_id": "2104655"}, {"ref": "krithi07/baseline-i", "kernel_id": "2496675"}, {"ref": "manojasaithambi/gstore-eda-with-lgbm-and-lstm", "kernel_id": "2007312"}, {"ref": "usmanabbas/flatten-hits-and-customdimensions", "kernel_id": "2070008"}, {"ref": "usmanabbas/line-profiling-to-analyze-your-code", "kernel_id": "2011385"}, {"ref": "codlife/baseline-with-lightgbm-xgb-catboost-lb-1-2909", "kernel_id": "2028581"}, {"ref": "codlife/pre-processing-for-huge-train-data-with-chunksize", "kernel_id": "2064889"}, {"ref": "arunkumarramanan/awesome-deep-learning-with-cnn-mnist-classifier", "kernel_id": "2272643"}, {"ref": "arunkumarramanan/awesome-ml-and-text-classification-movie-reviews", "kernel_id": "2272874"}, {"ref": "arunkumarramanan/awesome-ml-frameworks-and-mnist-classification", "kernel_id": "2270215"}, {"ref": "arunkumarramanan/data-science-python-fuel-efficiency-prediction", "kernel_id": "2272905"}, {"ref": "arunkumarramanan/data-science-in-r-and-titanic-survival-prediction", "kernel_id": "2272949"}, {"ref": "ajithvallabai/simple-exploration-baseline-ga-customer-revenue", "kernel_id": "2380591"}, {"ref": "linchuan2020/simple-exploration-baseline-ga-customer-r-67e31b", "kernel_id": "2357561"}, {"ref": "rezwan249/google-analytics-eda-lightgbm-screenshots", "kernel_id": "2068727"}, {"ref": "rezwan249/deep-learning-keras-ga-revenue-prediction", "kernel_id": "2226534"}, {"ref": "mamaevaa/lgbm-model-and-classes-for-data-preparation", "kernel_id": "2011232"}, {"ref": "geoffpidcock/joke-submission-workbook", "kernel_id": "2099611"}, {"ref": "srishti280992/gacrp-v1-eda-feature-engineering-lgb", "kernel_id": "2003308"}, {"ref": "yakolle/gs-get-nn-src-data", "kernel_id": "2144284"}, {"ref": "yakolle/gs-nn-uv-train-1-8-2-reboot", "kernel_id": "2049425"}, {"ref": "yakolle/gs-rtnn-uv-train-1-4", "kernel_id": "2052867"}, {"ref": "yakolle/gs-combine", "kernel_id": "2026556"}, {"ref": "yakolle/gs-merge", "kernel_id": "2212671"}, {"ref": "burritodan/gstore-pythonic-flatten-only-hits-column", "kernel_id": "2070894"}, {"ref": "burritodan/gstore-2-final", "kernel_id": "2269016"}, {"ref": "amitadate/data-v2-ranforest-linregress-adaboost-dl", "kernel_id": "2297894"}, {"ref": "mishazhukov/expect-100-0-032-non-zero-targets-for-v2", "kernel_id": "2161064"}, {"ref": "returnofsputnik/predict-all-zeroes-for-future-buy-period", "kernel_id": "2206541"}, {"ref": "qnkhuat/base-model-v2-with-with-full-features", "kernel_id": "2123142"}, {"ref": "qnkhuat/make-data-ready", "kernel_id": "2098373"}, {"ref": "qnkhuat/base-model-v2", "kernel_id": "2073104"}, {"ref": "leechh/a-way-to-input-all-columns-include-hits", "kernel_id": "2179590"}, {"ref": "puneetgrover/learn-from-bigdata-files-on-low-memory", "kernel_id": "2292908"}, {"ref": "sachinjchorge/google-analytics-first-try-v1", "kernel_id": "2177907"}, {"ref": "sachinjchorge/google-analytics-first-try", "kernel_id": "2177454"}, {"ref": "krishnamishra94/handling-of-json-data-in-csv-columns", "kernel_id": "2913346"}, {"ref": "jiazhuang/v2-flatten-all-the-json-filelds", "kernel_id": "2152046"}, {"ref": "omarmorsli/google-analytics-customer-revenue-prediction", "kernel_id": "2152426"}, {"ref": "jsaguiar/v2-quick-eda-what-s-new", "kernel_id": "2078133"}, {"ref": "mczenitar/some-analysis-on-customers-behavior-part-i", "kernel_id": "2956078"}, {"ref": "ppanchak/gstore-predictions", "kernel_id": "2240868"}, {"ref": "ppanchak/exploratory-data-analysis-of-gstore-for-beginner", "kernel_id": "2232964"}, {"ref": "zikazika/google-predictions", "kernel_id": "2039529"}, {"ref": "manyregression/fastai-0-7-2-random-forest-feature-importance", "kernel_id": "2495948"}, {"ref": "kasmithh/pytorch-vgg-implementation", "kernel_id": "2438302"}, {"ref": "twopence/ga-revenue-prediction-without-column-hits", "kernel_id": "2327027"}, {"ref": "jaytalati87/stacking-in-r", "kernel_id": "2791679"}, {"ref": "shrmis/google-analytics-customer-revenue-prediction", "kernel_id": "2028398"}, {"ref": "kalyankkr/google-analytics-customer-revenue-prediction", "kernel_id": "2005080"}, {"ref": "flubber/gbm-on-aggregated-gstore-v2-dataset", "kernel_id": "2235884"}, {"ref": "flubber/aggregate-train-v2-gbm", "kernel_id": "2211000"}, {"ref": "flubber/gbm-on-actual-train-v2-hits", "kernel_id": "2205374"}, {"ref": "hsuanhaofan/data-exploration-feature-engineering", "kernel_id": "2249791"}, {"ref": "utmost/files-without-hits-and-flatten-json-fields", "kernel_id": "2066611"}, {"ref": "tchristophern/base-model-v2-with-with-full-features", "kernel_id": "2131489"}, {"ref": "augustmarvel/base-model-v2-user-level-solution", "kernel_id": "2202326"}, {"ref": "yoshoku/gacrp-v2-starter-kit", "kernel_id": "2069780"}, {"ref": "yliang29/kernel6314450b9d", "kernel_id": "2113147"}, {"ref": "andredanielvolschenk/gstore-part-3-feature-reduction", "kernel_id": "2117541"}, {"ref": "andredanielvolschenk/gstore-part-4-final-prediction", "kernel_id": "2225814"}, {"ref": "colinpearse/ga-test-using-equivalent-data-from-last-year", "kernel_id": "2245893"}, {"ref": "mr5he11/first-attempt", "kernel_id": "2548686"}, {"ref": "hwatanabe7/combination-of-keras-and-xgboost", "kernel_id": "2133430"}, {"ref": "hwatanabe7/statistics-of-each-variable", "kernel_id": "2148929"}, {"ref": "adrienphx/google-analytics", "kernel_id": "2037930"}, {"ref": "yassinezaibi/data-set-2-xgboost-solution", "kernel_id": "2188366"}, {"ref": "shivaprasad0411/v2-flatten-all-the-json-filelds-ee3962", "kernel_id": "2249780"}, {"ref": "tangshihan/r-eda-for-gstore-glm-keras-xgb", "kernel_id": "2052577"}, {"ref": "sena22/customer-revenue-prediction-playground", "kernel_id": "2026214"}, {"ref": "amkarou/project-data-mining", "kernel_id": "2193985"}, {"ref": "amirjaber/simple-exploration-baseline-ga-customer-r-a9d39a", "kernel_id": "2223450"}, {"ref": "mtfall/all-0-prediction-score-check", "kernel_id": "3035079"}, {"ref": "toshinoue/if-i-could-probe-lb", "kernel_id": "3083598"}, {"ref": "kostoglot/winning-solution", "kernel_id": "3070336"}, {"ref": "harishjulapalli/gstore-customer-analytics-complete-eda", "kernel_id": "3828185"}, {"ref": "hjd810/fast-skim-v2-testing-baseline-models", "kernel_id": "3216683"}, {"ref": "douglasl/ga-bigquery-ecommerce-analysis", "kernel_id": "3581430"}, {"ref": "yusufahmed13/final-code", "kernel_id": "3527408"}, {"ref": "leiyuan1989/google-analytics-customer-revenue-prediction", "kernel_id": "4364356"}, {"ref": "gebera2011/translated-winner-s-code-to-python", "kernel_id": "4284644"}, {"ref": "odesk5/typing-practice-1-working-with-big-data", "kernel_id": "4863010"}, {"ref": "dddrrr/i-have-seen-the-future", "kernel_id": "4623691"}, {"ref": "mkowoods/clv-baseline-google-analytics", "kernel_id": "5257138"}, {"ref": "mkowoods/clv-step-2-train-val-test", "kernel_id": "5304368"}, {"ref": "rammilan2612/store-demandp", "kernel_id": "5119137"}, {"ref": "kaledata/google-analystics", "kernel_id": "5652899"}, {"ref": "shashwatwork/google-revenue-prediction", "kernel_id": "6838728"}, {"ref": "pengxudong7/ga-segmentation", "kernel_id": "6173731"}, {"ref": "zhouhong0/feature-engineering", "kernel_id": "6162830"}, {"ref": "raosindhu/google-analytics-customer-revenue-prediction", "kernel_id": "7832504"}, {"ref": "mihoubilamia/beginner-friendly-guide-flatten-json-fields", "kernel_id": "7205819"}, {"ref": "rouhollahgoudarzi/kernel-google-analytics-roy", "kernel_id": "7231185"}, {"ref": "johntds/visual-analysis-lightgbm", "kernel_id": "7502515"}, {"ref": "ayakhaled2/google-analytics-customer-revenue-prediction", "kernel_id": "8279030"}, {"ref": "dataescape/ckme136-capstone-gstore-revenue-forecast", "kernel_id": "8568607"}, {"ref": "baekyujin/google-analytics-customer-revenue-prediction", "kernel_id": "8956329"}, {"ref": "sandeepkiranjs/google-analytics-data-dask", "kernel_id": "8438289"}, {"ref": "derekvon/aba-gstore-project-team-kaizen", "kernel_id": "8863258"}, {"ref": "glopezzz/googleanalytics", "kernel_id": "8782487"}, {"ref": "seriousran/kr-base-model-v2-user-level-solution", "kernel_id": "9754172"}, {"ref": "mihirkawatra/gacrp-eda-and-visualization", "kernel_id": "10806957"}, {"ref": "momokoawata/kernel67624d5732", "kernel_id": "10200769"}, {"ref": "kareemaburejila/google-analytics-customer-revenue-prediction", "kernel_id": "10703335"}, {"ref": "ahmedmurad1990/google-analytics-customer-revenue-prediction", "kernel_id": "10890411"}, {"ref": "vikrantdeshpande098/gstore-cust-revenue-prediction", "kernel_id": "10257765"}, {"ref": "freetan/kernel67624d5732", "kernel_id": "10372104"}, {"ref": "rashmiranjanrout/gacustomer-revenue-prediction", "kernel_id": "10876766"}, {"ref": "saitamaisbest/google-analytics-simple-exploration", "kernel_id": "10891298"}, {"ref": "ashrafkhan94/googleanalytics-customer-revenue-eda-prediction", "kernel_id": "11575849"}, {"ref": "sergeydor/customer-revenue-prediction-v2-playground", "kernel_id": "12343753"}, {"ref": "inf3cti0n95/ga-prediction-pran-project", "kernel_id": "12857991"}, {"ref": "turbcool/shilovskih-lab3", "kernel_id": "12995541"}, {"ref": "nicholastkt02/plotly-practice-notes-google-analytics", "kernel_id": "12554247"}, {"ref": "wenkanw/notebookbf70a89046", "kernel_id": "13024070"}, {"ref": "gowthamprabhu/18pd09-garevenueanalysis", "kernel_id": "13015948"}, {"ref": "thodemessance/projet-apprentissage", "kernel_id": "13676906"}, {"ref": "vctorponce/exploraci-n-simple-l-nea-de-base", "kernel_id": "13201130"}, {"ref": "katetenka/notebook4fafe08a34", "kernel_id": "13424548"}, {"ref": "yoonjookim/ga-customer-revenue-study", "kernel_id": "14721980"}, {"ref": "thethnker/gan-yashar", "kernel_id": "14523903"}, {"ref": "owenhuanghao/gstore-prediction", "kernel_id": "14071992"}, {"ref": "smritee21/google-analytics-model-building", "kernel_id": "15373204"}, {"ref": "thethnker/model-new-yashar", "kernel_id": "15738787"}, {"ref": "thethnker/gan-yashar-modeling", "kernel_id": "15062913"}, {"ref": "lingeshvijay/ga-lingesh-v4", "kernel_id": "15337178"}, {"ref": "luckyzx/ga-abtesting-review-visualization", "kernel_id": "16664070"}, {"ref": "luckyzx/ga-abtesting-time", "kernel_id": "16687159"}, {"ref": "grow09/eda-feature-tool-lightgbm", "kernel_id": "17898212"}, {"ref": "annasan/ga-customer-revenue-prediction-score-0-88615", "kernel_id": "19471401"}, {"ref": "omarabdelkafi/framework-solving-regression-problems-ga-dataset", "kernel_id": "19835204"}, {"ref": "tuntrngquc/exploring-the-consumer-patterns-ml-pipeline", "kernel_id": "20403948"}, {"ref": "oceands/basics-of-google-analytics", "kernel_id": "20826743"}, {"ref": "yatnam/gstore-customer-revenue-report", "kernel_id": "20225744"}, {"ref": "cameronpearl/google-ad-prediction", "kernel_id": "20934161"}, {"ref": "anniehou/google-analytics-customer-revenue-prediction", "kernel_id": "21309821"}, {"ref": "kk9969/notebook987c11438d", "kernel_id": "22343201"}, {"ref": "parthabera/r-program-gstore-glm-keras-xgb", "kernel_id": "26616236"}, {"ref": "tequiero739/ga-revenue-prediction-0725", "kernel_id": "28941839"}, {"ref": "shroukali/google-analytics-customer-revenue-predict-sa", "kernel_id": "28991348"}, {"ref": "minhvngc/exploration", "kernel_id": "28083990"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "thejaskiran/customer-revenue-value", "kernel_id": "31979907"}, {"ref": "sunny9999/ga-customer-revenue-prediction", "kernel_id": "34788970"}, {"ref": "anmolkohli1/google-analytics-revenue-prediction", "kernel_id": "35092192"}, {"ref": "ruoleyi/google-analytics-customer-revenue-prediction", "kernel_id": "42948574"}, {"ref": "limpidsun/simple-exploration-baseline-ga-customer-revenue", "kernel_id": "43833495"}, {"ref": "zikangye9/fork-of-ds-for-business-project-g43", "kernel_id": "43728715"}, {"ref": "chloeyan7/ga-abtesting", "kernel_id": "43951067"}, {"ref": "chloeyan7/aba-gstore-project", "kernel_id": "43951269"}, {"ref": "sizhelai/ds-for-business-group-43", "kernel_id": "44570291"}, {"ref": "smitasahoo/google-revenbue-a", "kernel_id": "47321095"}, {"ref": "matthuan/ga-analysis", "kernel_id": "50421975"}, {"ref": "neerajkumar75260/google-analytics-customer-revenue-prediction", "kernel_id": "54132814"}, {"ref": "brahimy/how-much-will-google-customers-spend", "kernel_id": "59349118"}, {"ref": "oleksiyopryshko/lab-1", "kernel_id": "60413435"}, {"ref": "antongalysh/practice10", "kernel_id": "61903898"}, {"ref": "rhakshithas/dmprojectfin", "kernel_id": "62277027"}, {"ref": "gv0000/pract-google", "kernel_id": "63595343"}, {"ref": "python4sp/step-by-step-a-b-testing-with-code", "kernel_id": "64358727"}, {"ref": "palbha/getting-started-google-analytics", "kernel_id": "75586601"}, {"ref": "igorradovanovic/vaex-algotrading101-tutorial", "kernel_id": "78506518"}, {"ref": "johnsonjob/dsml-2-18", "kernel_id": "80481805"}, {"ref": "hamzameri/ga-customer-revenue-prediction-model-for-edu", "kernel_id": "81593473"}, {"ref": "karenjy/ml-based-time-series-forecasting-for-ecom-kpis", "kernel_id": "117079821"}, {"ref": "yujiyyy/ga-revenue-json-flatten-eda", "kernel_id": "122600056"}, {"ref": "andrewkim1997/funnel-and-cohort-analysis-by-lightgbm", "kernel_id": "123994969"}]}
{"competition_id": "10039", "kernels": [{"ref": "ewelinatut/sentiment-classification-on-twitter-data", "kernel_id": "1627968"}, {"ref": "ferdianairlangga/twitter-sentiment-analysis-with-naive-bayes", "kernel_id": "32523139"}, {"ref": "anfoxy/nlp-train-3", "kernel_id": "61677881"}]}
{"competition_id": "10046", "kernels": []}
{"competition_id": "10047", "kernels": []}
{"competition_id": "10090", "kernels": [{"ref": "lividhour/boston-housing-dataset-linearregression", "kernel_id": "2395546"}, {"ref": "bidisha01/boston-housing-with-linear-regression", "kernel_id": "8698969"}, {"ref": "iamtalos/handling-small-dataset", "kernel_id": "9043898"}]}
{"competition_id": "10093", "kernels": []}
{"competition_id": "10102", "kernels": []}
{"competition_id": "10110", "kernels": []}
{"competition_id": "10111", "kernels": []}
{"competition_id": "10113", "kernels": []}
{"competition_id": "10114", "kernels": [{"ref": "alina911/1-solution-lightfm", "kernel_id": "62892983"}, {"ref": "alina911/2-solution-svd", "kernel_id": "63053083"}, {"ref": "alina911/3-solution-als", "kernel_id": "63116876"}]}
{"competition_id": "10117", "kernels": []}
{"competition_id": "10118", "kernels": [{"ref": "sakshamchecker/notebookc2ce74631f", "kernel_id": "15704673"}, {"ref": "saranyasudhakar/titanic-data", "kernel_id": "31324498"}, {"ref": "bilalahmad9593492/titanic-dataset-project-intern-at-ezitech", "kernel_id": "75740193"}]}
{"competition_id": "10128", "kernels": []}
{"competition_id": "10129", "kernels": []}
{"competition_id": "10134", "kernels": []}
{"competition_id": "10140", "kernels": []}
{"competition_id": "10141", "kernels": [{"ref": "threecourse/iaj-mls-2018-visualization-answers", "kernel_id": "1530648"}, {"ref": "threecourse/life-insurance-pricing-analysis", "kernel_id": "1596951"}, {"ref": "threecourse/iaj-mls-2018-visualization-chapter1", "kernel_id": "1530095"}, {"ref": "threecourse/iaj-mls-2018-visualization-chapter2", "kernel_id": "1530108"}, {"ref": "threecourse/iaj-mls-2018-visualization-chapter3", "kernel_id": "1530112"}, {"ref": "threecourse/iaj-mls-2018-visualization-chapter4", "kernel_id": "1530120"}, {"ref": "threecourse/iaj-mls-2018-visualization-chapter5", "kernel_id": "1939353"}, {"ref": "threecourse/alphago-simple", "kernel_id": "1939386"}]}
{"competition_id": "10151", "kernels": [{"ref": "as630275035/notebookb2cba59c48", "kernel_id": "257882"}, {"ref": "dremovd/goto-pytorch-baseline", "kernel_id": "1348448"}, {"ref": "nizhibitsky/create-k-fold-splits", "kernel_id": "1317790"}, {"ref": "morenoh149/keras-baseline", "kernel_id": "1789691"}, {"ref": "dingli/seismic-data-analysis-with-u-net", "kernel_id": "1362586"}, {"ref": "kmader/u-net-with-dice-and-augmentation", "kernel_id": "1330930"}, {"ref": "cpmpml/fast-iou-metric-in-numpy-and-tensorflow", "kernel_id": "1794749"}, {"ref": "melgor/u-net-batchnorm-augmentation-stratificat-b0026c", "kernel_id": "1427504"}, {"ref": "zahedi/rle-masks-blend", "kernel_id": "1496733"}, {"ref": "avinashrai/unet-with-depth", "kernel_id": "1363097"}, {"ref": "bguberfain/unet-with-depth", "kernel_id": "1319088"}, {"ref": "scirpus/gp-with-tensor-flow", "kernel_id": "1620636"}, {"ref": "scirpus/really", "kernel_id": "1583421"}, {"ref": "abimannan/tgs-salt-segment", "kernel_id": "1626752"}, {"ref": "vicensgaitan/salt-jigsaw-puzzle", "kernel_id": "1737550"}, {"ref": "hemantime/u-net-with-resnet-block-1-4-0-79", "kernel_id": "1699995"}, {"ref": "deepaksinghrawat/introduction-to-u-net-with-simple-resnet-blocks", "kernel_id": "1709543"}, {"ref": "iezepov/fast-iou-scoring-metric-in-pytorch-and-numpy", "kernel_id": "1572221"}, {"ref": "anondo/fork-of-intro-to-seismic-salt-and-how-to-geophys", "kernel_id": "1354957"}, {"ref": "kenmatsu4/basic-data-confirmation-visualization", "kernel_id": "1551129"}, {"ref": "erikistre/pytorch-basic-u-net", "kernel_id": "1376534"}, {"ref": "musicmilif/image-resolution", "kernel_id": "1723006"}, {"ref": "tsilveira/salt-identification-features", "kernel_id": "1316526"}, {"ref": "abhilashawasthi/unet-with-simple-resnet-blocks", "kernel_id": "1810197"}, {"ref": "robertkag/metric-script", "kernel_id": "1484286"}, {"ref": "tgibbons/testing-image-equalization-options", "kernel_id": "1475141"}, {"ref": "tgibbons/u-net-without-resizing-images", "kernel_id": "1404751"}, {"ref": "themixedfermions/mask-hotmaps", "kernel_id": "1377741"}, {"ref": "markhacker/salty", "kernel_id": "1324639"}, {"ref": "drn01z3/create-k-fold-splits-depths-stratified", "kernel_id": "1317985"}, {"ref": "therezo/xception-unet-yielda-model-xuy-model-yielda-net", "kernel_id": "1598545"}, {"ref": "netphone/basic-data-visualization-using-pytorch-dataset", "kernel_id": "1576428"}, {"ref": "vfdev5/train-dataset-visualization", "kernel_id": "1319365"}, {"ref": "wispzero/improving-speed-by-making-h5-files", "kernel_id": "1331939"}, {"ref": "aerdem4/u-net-with-simple-resnet-blocks-forked", "kernel_id": "1561159"}, {"ref": "wrosinski/pytorch-educational-baseline", "kernel_id": "1636161"}, {"ref": "wrosinski/clean-workflow-in-keras", "kernel_id": "1686755"}, {"ref": "ggeo79/tgs-deep-learning-unet", "kernel_id": "1687969"}, {"ref": "mariammohamed/mask-vs-no-mask-prediction", "kernel_id": "1587297"}, {"ref": "dilip1988/rmsprop-data-analysis-with-u-net", "kernel_id": "1550420"}, {"ref": "nbhogi/unet-resnet34-rmsprop-optimizer-in-keras", "kernel_id": "1522275"}, {"ref": "jfr311/crf-analysis", "kernel_id": "1404281"}, {"ref": "oysteijo/salt-mask-coverage-vs-depth", "kernel_id": "1517985"}, {"ref": "jimmy2002916/unet-resnet34", "kernel_id": "1665958"}, {"ref": "jimmy2002916/u-net-resnet34-with-stratifiedkfold", "kernel_id": "1756633"}, {"ref": "kumarajay/unet-resnet-with-two-losses", "kernel_id": "1718204"}, {"ref": "ammarmalik/submissiontry1", "kernel_id": "1619325"}, {"ref": "kswamy15/metric-calc-simplified-code", "kernel_id": "1485341"}, {"ref": "physci/tf-implementation-of-scoring-metric", "kernel_id": "1737379"}, {"ref": "dibgerge/another-tf-keras-implementation-of-score-metric", "kernel_id": "1739906"}, {"ref": "dustni/very-simple-pytorch-dataset-builder", "kernel_id": "1378602"}, {"ref": "residentmario/structured-unet-model-1", "kernel_id": "1714703"}, {"ref": "ricebaby251/model-evaluations", "kernel_id": "1515965"}, {"ref": "smehta12/find-salt-using-masked-r-cnn", "kernel_id": "1934990"}, {"ref": "lpachuong/u-net-with-simple-resnet-blocks-v2-new-loss", "kernel_id": "1643315"}, {"ref": "lpachuong/apply-crf-unet-bn-diceloss", "kernel_id": "1436656"}, {"ref": "shutil/metric-function-for-tensorflow", "kernel_id": "1488638"}, {"ref": "ashishsinhaiitr/segnet-on-tgs", "kernel_id": "1550502"}, {"ref": "zeemeen/glcm-texture-features", "kernel_id": "1479709"}, {"ref": "vijaybj/cnns-custom-estimator-tensorflow", "kernel_id": "1335918"}, {"ref": "ashishpatel26/seasalt-or-not", "kernel_id": "1317372"}, {"ref": "ashishpatel26/have-you-check-this-approach", "kernel_id": "1318125"}, {"ref": "ashishpatel26/best-try-i-do-for-this", "kernel_id": "1360184"}, {"ref": "ashishpatel26/change-is-inevitable", "kernel_id": "1586640"}, {"ref": "ashishpatel26/things-that-matter-to-tgs", "kernel_id": "1614199"}, {"ref": "ashishpatel26/u-net-bn-aug-strat-dice", "kernel_id": "1424404"}, {"ref": "ashishpatel26/unet-bas", "kernel_id": "1414420"}, {"ref": "pestipeti/fake-incorrect-training-masks", "kernel_id": "1428436"}, {"ref": "pestipeti/explanation-of-scoring-metric", "kernel_id": "1405981"}, {"ref": "htopper/deeplab-c926df", "kernel_id": "1482115"}, {"ref": "arunbhuta/some-functions-for-image-processing", "kernel_id": "1588479"}, {"ref": "tibo22/things-that-matter-to-tgs-507683", "kernel_id": "1737112"}, {"ref": "ebberiginal/tgs-salt-keras-unet-depth-data-augm-strat", "kernel_id": "1425013"}, {"ref": "peter0749/u-net-with-simple-resnet-blocks-v2-new-loss", "kernel_id": "1723328"}, {"ref": "osciiart/no-mask-prediction", "kernel_id": "1325422"}, {"ref": "zahharovareal/intro-to-seismic-salt-and-how-to-geophysics", "kernel_id": "1420974"}, {"ref": "nikhilroxtomar/unet-with-depth", "kernel_id": "1337108"}, {"ref": "nikhilroxtomar/unet-with-layer-concatenation-in-downblock", "kernel_id": "1349848"}, {"ref": "nikhilroxtomar/u-net-with-simple-resnet-blocks", "kernel_id": "1558997"}, {"ref": "nikhilroxtomar/generators-for-keras-model", "kernel_id": "1573479"}, {"ref": "nikhilroxtomar/u-net-with-simple-resnet-blocks-v2-new-loss", "kernel_id": "1607821"}, {"ref": "nikhilroxtomar/u-net-with-image-augmentation", "kernel_id": "1464854"}, {"ref": "nikhilroxtomar/resnet-unet", "kernel_id": "1516986"}, {"ref": "nikhilroxtomar/introduction-to-u-net-with-simple-resnet-blocks", "kernel_id": "1736420"}, {"ref": "danmoller/even-faster-rle", "kernel_id": "1468014"}, {"ref": "hengreen/unet-deepunet-ensemble", "kernel_id": "1660469"}, {"ref": "nafisur/keras-tgs-salt", "kernel_id": "1317950"}, {"ref": "nafisur/unet-with-depth", "kernel_id": "1331337"}, {"ref": "nafisur/crf-nr", "kernel_id": "1348690"}, {"ref": "nafisur/tgs-salt-keras", "kernel_id": "1341962"}, {"ref": "nafisur/u-net-dropout-augmentation-stratification", "kernel_id": "1341818"}, {"ref": "hortonhearsafoo/tgs-salt-identification-fastai-unet-resnet", "kernel_id": "1558959"}, {"ref": "jesperdramsch/intro-to-seismic-salt-and-how-to-geophysics", "kernel_id": "1316498"}, {"ref": "schlerp/eda-and-keras", "kernel_id": "1315555"}, {"ref": "yuooka/helper-numpy-pad-upsample-downsample", "kernel_id": "1812642"}, {"ref": "tfuchi/visualize-train", "kernel_id": "1365896"}, {"ref": "ashukr/1-getting-started-with-image-analysis", "kernel_id": "1316029"}, {"ref": "adamhart/faster-rle", "kernel_id": "1460512"}, {"ref": "youhanlee/1st-solution-reproducing-1-unet-resnet34-se", "kernel_id": "1947941"}, {"ref": "youhanlee/unet-resnetblock-hypercolumn-deep-supervision-fold", "kernel_id": "1907769"}, {"ref": "lehmkudc/my-attempt-at-cnn-basics", "kernel_id": "1629280"}, {"ref": "amitkvikram/tgs-resnet-final1", "kernel_id": "1879673"}, {"ref": "pjrocknlock/pj-s-tgs-salt-identification-challenge-notebook", "kernel_id": "1755027"}, {"ref": "dromosys/tgs-fastai-resnet34-unet-v1", "kernel_id": "1817858"}, {"ref": "learningsharath/salt-identification", "kernel_id": "1637234"}, {"ref": "meaninglesslives/data-exploration", "kernel_id": "1354783"}, {"ref": "meaninglesslives/apply-crf", "kernel_id": "1343536"}, {"ref": "meaninglesslives/transfer-learning", "kernel_id": "1350187"}, {"ref": "meaninglesslives/simple-features", "kernel_id": "1325527"}, {"ref": "meaninglesslives/using-resnet50-pretrained-model-in-keras", "kernel_id": "1546506"}, {"ref": "meaninglesslives/apply-crf-unet-resnet", "kernel_id": "1430701"}, {"ref": "meaninglesslives/unet-resnet34-in-keras", "kernel_id": "1513386"}, {"ref": "meaninglesslives/getting-0-87-on-private-lb-using-kaggle-kernel", "kernel_id": "1860657"}, {"ref": "meaninglesslives/finding-connected-images-in-python", "kernel_id": "1771284"}, {"ref": "meaninglesslives/pretrained-resnet34-in-keras", "kernel_id": "1736148"}, {"ref": "joydeb28/using-cnn-please-upvote", "kernel_id": "1814966"}, {"ref": "joydeb28/tgs-kernal-please-upvote", "kernel_id": "1819618"}, {"ref": "joydeb28/kernele34b365b67", "kernel_id": "1821241"}, {"ref": "thupalo/simple-tricks", "kernel_id": "1533443"}, {"ref": "luodian/baseline-model-unet-keras", "kernel_id": "1391931"}, {"ref": "aronysidoro/tensorflow-u-net", "kernel_id": "1456072"}, {"ref": "aronysidoro/vgg16-keras-pretrained-base-case", "kernel_id": "1505499"}, {"ref": "yushas/imageprocessingtips", "kernel_id": "1579563"}, {"ref": "nareyko/data-generator-with-shift-and-mirror-augmentation", "kernel_id": "1854832"}, {"ref": "donchuk/fast-implementation-of-scoring-metric", "kernel_id": "1565885"}, {"ref": "alexanderliao/know-your-opponents-well", "kernel_id": "1872440"}, {"ref": "alexanderliao/generating-salt-jigsaw-puzzle-solutions", "kernel_id": "1802231"}, {"ref": "alexanderliao/u-net-bn-aug-strat-focal-loss-fixed", "kernel_id": "1411009"}, {"ref": "alexanderliao/lb-0-775-conditional-random-field-for-tgs", "kernel_id": "1411530"}, {"ref": "alexanderliao/deeplabv3", "kernel_id": "1552094"}, {"ref": "alexanderliao/salt-or-no-salt", "kernel_id": "1574375"}, {"ref": "imrandude/tgs-salt-identification-fastai-unet-resnet", "kernel_id": "1513994"}, {"ref": "piotrek12q/some-conlusions-about-the-input-data", "kernel_id": "1613490"}, {"ref": "kotarojp/eda-with-suspicious-images", "kernel_id": "1689677"}, {"ref": "kotarojp/first-step-for-submission-u-net-iou-threshold", "kernel_id": "1648662"}, {"ref": "kumarabhishekone/saltk", "kernel_id": "1697073"}, {"ref": "douglasandrade/hello-kaggle", "kernel_id": "1902363"}, {"ref": "christofhenkel/keras-baseline", "kernel_id": "1317021"}, {"ref": "qgh1223/glcm-featured", "kernel_id": "1523123"}, {"ref": "qgh1223/deeplab", "kernel_id": "1440485"}, {"ref": "qgh1223/fusionnet", "kernel_id": "1400648"}, {"ref": "qgh1223/kernele41955dbf8", "kernel_id": "1322134"}, {"ref": "qgh1223/segnet", "kernel_id": "1335438"}, {"ref": "tanreinama/cnn-rnn-encoder-decoder-model-mxnet", "kernel_id": "1322254"}, {"ref": "dimonrtm/u-net", "kernel_id": "1326639"}, {"ref": "germey/seismic-data-analysis-with-u-net", "kernel_id": "1460436"}, {"ref": "rupeshs/salt-identification-eda", "kernel_id": "1321157"}, {"ref": "rupeshs/hypercolumn-test-vgg16", "kernel_id": "1755914"}, {"ref": "rupeshs/tgs-salt-classification-fastai", "kernel_id": "1711008"}, {"ref": "sunqpark/blurriness-aware-cropping-augmentation", "kernel_id": "1714029"}, {"ref": "fpeccia/tensorflow-unet-benchmark", "kernel_id": "1331771"}, {"ref": "k8tems/intro-to-seismic-salt-and-how-to-geophysics", "kernel_id": "1593497"}, {"ref": "icemekaveli/keras-u-net-pipeline", "kernel_id": "1505115"}, {"ref": "leighplt/goto-pytorch-fix-for-v0-3", "kernel_id": "1361493"}, {"ref": "leighplt/pytorch-tta-flip-left-right", "kernel_id": "1765442"}, {"ref": "leighplt/pytorch-pre-trained-from-3-channels-to-1", "kernel_id": "1763801"}, {"ref": "saloni0101/notebook-tgs-salt", "kernel_id": "1367637"}, {"ref": "kaggletoby/initial-exploring-of-data", "kernel_id": "1355624"}, {"ref": "hmen97/u-net-with-resnet", "kernel_id": "1773855"}, {"ref": "jcesquiveld/tgs-reading-data-and-storing-in-hf5", "kernel_id": "1583038"}, {"ref": "jcesquiveld/tgs-vanilla-u-net-baseline", "kernel_id": "1588055"}, {"ref": "jcesquiveld/vanilla-u-net-with-64x64-images", "kernel_id": "1647200"}, {"ref": "integmind/superres-data-augmentation-on-dl-u-net-dropout", "kernel_id": "1760262"}, {"ref": "integmind/intro-to-seismic-salt-and-how-to-geophysics", "kernel_id": "1634028"}, {"ref": "hellolghu/intro-to-seismic-salt-and-how-to-geophysics", "kernel_id": "1817747"}, {"ref": "dingdiego/result-visualization", "kernel_id": "1577477"}, {"ref": "dingdiego/new-merger", "kernel_id": "1578322"}, {"ref": "dingdiego/severalsplitmaker", "kernel_id": "1563864"}, {"ref": "dingdiego/baseline-v5", "kernel_id": "1480681"}, {"ref": "dingdiego/baseline-v4", "kernel_id": "1460975"}, {"ref": "dingdiego/baseline-v5-tmp", "kernel_id": "1499879"}, {"ref": "dingdiego/baseline-v7", "kernel_id": "1520902"}, {"ref": "dingdiego/baseline-v6", "kernel_id": "1510361"}, {"ref": "dingdiego/k-fold-merger", "kernel_id": "1411639"}, {"ref": "dingdiego/baseline-0-760-0-143-k-fold-0-769", "kernel_id": "1403089"}, {"ref": "dingdiego/self-baseline-0-760-0-140-u-net-v3", "kernel_id": "1409336"}, {"ref": "dingdiego/u-net-batchnorm-augmentation-stratification", "kernel_id": "1400469"}, {"ref": "dingdiego/baseline-0-731-0-158", "kernel_id": "1349609"}, {"ref": "dingdiego/fork-of-u-net-dropout-augmentation-stratificati", "kernel_id": "1344530"}, {"ref": "dingdiego/baseline-0-731-0-158-5-and-more-fold", "kernel_id": "1361479"}, {"ref": "dingdiego/kernel497c4f3124", "kernel_id": "1355124"}, {"ref": "dingdiego/unet-with-depth-recurrent", "kernel_id": "1321439"}, {"ref": "dingdiego/u-net-dropout-augmentation-stratification", "kernel_id": "1338040"}, {"ref": "manishavenger/tgs-salt-identification", "kernel_id": "1328936"}, {"ref": "bit3125/intro-to-seismic-salt-and-how-to-geophysi-07a2b8", "kernel_id": "1724523"}, {"ref": "gaelblanch/optimal-unet-beyond-a", "kernel_id": "1761929"}, {"ref": "mahbubrob/tgs-salt-identification-challenge-explore-data", "kernel_id": "1893441"}, {"ref": "bigswimatom/trial-of-change-augmentation", "kernel_id": "1835889"}, {"ref": "bigswimatom/first-trial", "kernel_id": "1827894"}, {"ref": "whilefalse/crfapply-0-801lb", "kernel_id": "1597181"}, {"ref": "victorhz/cnn-for-tsg", "kernel_id": "1522597"}, {"ref": "victorhz/image-to-arrays-tsg", "kernel_id": "1518697"}, {"ref": "zdhnarsil/untitiled", "kernel_id": "1427178"}, {"ref": "llevcono/introduction-to-u-net-with-simple-resnet-blocks", "kernel_id": "1832769"}, {"ref": "sanket30/semantic-segmentation-using-u-net-abstract-layer", "kernel_id": "1407285"}, {"ref": "sanket30/semantic-segmentation-using-u-net-deep-layer", "kernel_id": "1406972"}, {"ref": "mskhatri/github-unet", "kernel_id": "1909680"}, {"ref": "sumitdua10/fork-of-salt-images", "kernel_id": "1606295"}, {"ref": "sumitdua10/updated-salt-images-with-binary-classification", "kernel_id": "1801897"}, {"ref": "pnussbaum/auto-associative-how-to-using-tgs-salt-columns", "kernel_id": "1509363"}, {"ref": "fredcourch/scoring-metric-tensorflow", "kernel_id": "1534581"}, {"ref": "sajinpgupta/u-net-with-resnet-block-1-4-0-8-score", "kernel_id": "1629652"}, {"ref": "shaojiaxin/u-net-with-simple-resnet-blocks", "kernel_id": "1543186"}, {"ref": "shaojiaxin/u-net-with-simple-resnet-blocks-v2-new-loss", "kernel_id": "1593487"}, {"ref": "shaojiaxin/u-net-resnet-v3-stratifiedkfold", "kernel_id": "1709707"}, {"ref": "peicao/tgs-salt", "kernel_id": "1380455"}, {"ref": "skainkaryam/basic-data-visualization-using-pytorch-dataset", "kernel_id": "1315411"}, {"ref": "phoenigs/u-net-dropout-augmentation-stratification", "kernel_id": "1336583"}, {"ref": "bconsolvo/u-net-convolutional-neural-network-salt-or-not", "kernel_id": "1485411"}, {"ref": "chandyalex/three-channel-image-training-help-needed", "kernel_id": "1660405"}, {"ref": "chandyalex/glcm-feature-performed-dataset-for-dear-kagglers", "kernel_id": "1882008"}, {"ref": "mukesh62/mp-u-net-with-simple-resnet-blocks-v2", "kernel_id": "1793065"}, {"ref": "iamhamzaabdullah/salt-identification-algorithm", "kernel_id": "1601682"}, {"ref": "tcapelle/github-unet", "kernel_id": "1796777"}, {"ref": "tcapelle/tgs-fastai-vgg-dynamicunet", "kernel_id": "1787022"}, {"ref": "tcapelle/fork-of-tgs-fastai-resnet18-dynamicunet", "kernel_id": "1794345"}, {"ref": "tcapelle/is-there-salt-resnet34", "kernel_id": "1784448"}, {"ref": "tcapelle/tgs-fastai-resnet34-unet", "kernel_id": "1770554"}, {"ref": "waltmay/u-net-with-simple-resnet-blocks-and-mosaic", "kernel_id": "1722139"}, {"ref": "tecknomart/basic-feature-engineering-for-ml", "kernel_id": "1645186"}, {"ref": "abbracadabra/persist", "kernel_id": "1667315"}, {"ref": "abhisheksss/tgs-with-u-net", "kernel_id": "1792566"}, {"ref": "ahsongchen/stochastic-gradient-descent-with-restarts-test", "kernel_id": "1864216"}, {"ref": "timsonrisa/tgs-salt-identification-kernels-play", "kernel_id": "1637253"}, {"ref": "timsonrisa/using-pre-trained-model-to-predict-and-submit", "kernel_id": "1641890"}, {"ref": "wenjieluo/kernelad4efeb50a", "kernel_id": "1773599"}, {"ref": "wenjieluo/tgs-wj", "kernel_id": "1871180"}, {"ref": "bruches/segmentation-pipeline-for-salt", "kernel_id": "2348304"}, {"ref": "yuooka/binary-class-fo01-demo-181109-instant", "kernel_id": "2013193"}, {"ref": "malyada/basicunet-v1", "kernel_id": "2212603"}, {"ref": "gaelblanch/scorepytorch", "kernel_id": "2063940"}, {"ref": "harshitahluwalia7895/tgs-salt-identification-challenge", "kernel_id": "2127567"}, {"ref": "jmourad100/unet-with-simple-resnet-blocks-1", "kernel_id": "2509021"}, {"ref": "ingbiodanielh/salt-segmentation", "kernel_id": "3428919"}, {"ref": "sumanthmeenan/tgs-segmentation", "kernel_id": "3907681"}, {"ref": "shrikantds/unet-segmenation", "kernel_id": "3002292"}, {"ref": "adheshgarg/brats-using-u-net", "kernel_id": "3565529"}, {"ref": "anil777/u-net-with-simple-resnet-blocks-v2-new-loss", "kernel_id": "3583548"}, {"ref": "anil777/unet-with-depth", "kernel_id": "3611006"}, {"ref": "msripooja/semantic-segmentation-tgs-salt", "kernel_id": "3778803"}, {"ref": "jagamts1/u-net-with-tgs-salt-dataset", "kernel_id": "5582551"}, {"ref": "huynhtan/unet1", "kernel_id": "5520897"}, {"ref": "nguyenthanhdat233/imageseg", "kernel_id": "5588613"}, {"ref": "saeedtqp/unet-resnet34", "kernel_id": "6602534"}, {"ref": "zaidfast/u-net-dropout-augmentation-stratification", "kernel_id": "7694388"}, {"ref": "joelpires/salt-identification-eda", "kernel_id": "7234188"}, {"ref": "swapnilpote/u-net", "kernel_id": "8405152"}, {"ref": "lukasgajdosech/u-net-salt", "kernel_id": "8725393"}, {"ref": "diplav/unet-gpu", "kernel_id": "9238967"}, {"ref": "avinashbeck/salt-segmentation-fastai", "kernel_id": "9078495"}, {"ref": "roneeeee/image-segmentation-with-unet", "kernel_id": "9232883"}, {"ref": "hk0904085/comparing-dice-loss-and-binary-ce", "kernel_id": "9726335"}, {"ref": "naimur978/unet-semantic-segmentation", "kernel_id": "9970048"}, {"ref": "snlpnkj/u-net-image-segmentation", "kernel_id": "10993394"}, {"ref": "saidrasidin/salt-body-segmentation", "kernel_id": "10475146"}, {"ref": "abinabrahamjohn/tgs-salt-simple", "kernel_id": "10077014"}, {"ref": "naimur978/unet-with-residual-block-private-score-0-85", "kernel_id": "10015767"}, {"ref": "johntgz/tgs-salt-cnn", "kernel_id": "10965188"}, {"ref": "blaxkdolphin/unet-pytorch", "kernel_id": "11149752"}, {"ref": "vasistaayyagari/tgs-slat-challenge-pytorch-unet", "kernel_id": "12827516"}, {"ref": "cmosquera/unet-con-keras", "kernel_id": "12714280"}, {"ref": "bimsarapathiraja/pipeline-bgp", "kernel_id": "12605694"}, {"ref": "michaelscheinfeilda/intro-to-seismic-salt-and-how-to-geophysics", "kernel_id": "12144737"}, {"ref": "lifuguan/fcn8-resnet50", "kernel_id": "13954414"}, {"ref": "ritvik1909/salt-identification-semantic-segmentation", "kernel_id": "14280880"}, {"ref": "omarouardighi/salt-identification", "kernel_id": "14101847"}, {"ref": "khaboudsaid/mso35-unet-pytorch", "kernel_id": "15901944"}, {"ref": "xiongzhna/u-net-resnet", "kernel_id": "15953467"}, {"ref": "vaibhavthakur/salt-segmentation", "kernel_id": "16871729"}, {"ref": "nguyenmanhdung/u-net-for-salt-identification", "kernel_id": "16914221"}, {"ref": "kurogo/ml-18020649", "kernel_id": "16932102"}, {"ref": "goralex/notebook36c8752214", "kernel_id": "17521870"}, {"ref": "bimsarapathiraja/notebooka48910bf73", "kernel_id": "17464560"}, {"ref": "giangpt/u-net-for-salt-identification-padding-version", "kernel_id": "17577792"}, {"ref": "giangpt/u-net-for-salt-identification", "kernel_id": "17504924"}, {"ref": "trantrungthanh/u-net-for-salt-identification-padding-version", "kernel_id": "17621495"}, {"ref": "nguyenquan123vn/notebook9915ffa8b5", "kernel_id": "17586312"}, {"ref": "ngueih/tgs-salt-training-eba96a", "kernel_id": "17165631"}, {"ref": "giangphmtrng/unet-with-resnet-block-original-size", "kernel_id": "17639010"}, {"ref": "essamkhames/tgs-salt", "kernel_id": "19819834"}, {"ref": "ayushganguli/tgs-salt-cnn-8a66b8", "kernel_id": "21810327"}, {"ref": "dimakyn/pytorch-unet", "kernel_id": "22170567"}, {"ref": "jonnyjackk/segmentation-with-single-resnet-unet-lb-0-81", "kernel_id": "23387629"}, {"ref": "kgadylsh/pytorch-unet", "kernel_id": "24560049"}, {"ref": "jsxyhelu2019/goss-tgs-salt-identification-fastai-v2", "kernel_id": "26042563"}, {"ref": "rathgrith/pytorch-unet", "kernel_id": "26193208"}, {"ref": "choiszt/self-distilled-unet-for-tgs-competition", "kernel_id": "28338282"}, {"ref": "mpwolke/flamingo-tgs-salt-identification", "kernel_id": "29976175"}, {"ref": "afrniomelo/tgs-segmentation-models-albumentations", "kernel_id": "31361179"}, {"ref": "jslee35/kaggle-salt-image-seg", "kernel_id": "31751980"}, {"ref": "suraj520/pytorch-unet-with-description-for-tgs-salt-ident", "kernel_id": "37794960"}, {"ref": "derekxue/tgs-salt-ident", "kernel_id": "42265722"}, {"ref": "aleheir/tp03-tgs-challenge", "kernel_id": "68897160"}, {"ref": "juanpablocilfone/redes-ii-u-net-upsampling", "kernel_id": "70623896"}, {"ref": "yoanpt/computer-vision-unet-salt", "kernel_id": "76898384"}, {"ref": "chandu112002/unet-for-salt-detection", "kernel_id": "76894965"}, {"ref": "afschowdhury/tgs-salt-challenge-be7910-team2", "kernel_id": "81885490"}, {"ref": "dcsd183720/notebookb4db501c5c", "kernel_id": "81814579"}, {"ref": "shagotochowdhury/eda-tgs-salt-challenge-asif-faisal-chowdhury", "kernel_id": "82071936"}, {"ref": "shagotochowdhury/tgs-salt-main-pipeline", "kernel_id": "82444503"}, {"ref": "shagotochowdhury/tgs-salt-challenge-eda", "kernel_id": "82444264"}, {"ref": "mattspotify2023/tgs-resnext-pytorch", "kernel_id": "82018307"}, {"ref": "aidarmen/expert-level-research-and-deployment-part-1", "kernel_id": "87489788"}, {"ref": "aidarmen/expert-level-research-and-deployment-part-2", "kernel_id": "87491465"}, {"ref": "tasadanluca/tgs-salt-challenge", "kernel_id": "91168298"}, {"ref": "ahmedtrabelsi88/be-semantic-segmentation", "kernel_id": "106985265"}, {"ref": "alexanderkireev/07-ml-trainings-cv", "kernel_id": "110825598"}, {"ref": "mdabdulalhasib/practice-for-image-segmentation", "kernel_id": "112994122"}, {"ref": "lantalangji/term-project6610210350", "kernel_id": "112339386"}, {"ref": "kartikgupta98/notebook185b076615", "kernel_id": "114547329"}, {"ref": "sandeepsingh23102004/tgssaltchallenge", "kernel_id": "114550001"}, {"ref": "widipuriarto/unet-resnet34-in-keras", "kernel_id": "115323939"}, {"ref": "bencebodn/project-3", "kernel_id": "117575697"}, {"ref": "albinaikarim/tgs-salt-identification-challenge-version-2", "kernel_id": "118427276"}, {"ref": "albinaikarim/tgs-salt-identification-challenge-version-1", "kernel_id": "118382698"}, {"ref": "amirsadeghi2133/the-last-quwstion-of-this-mf1404", "kernel_id": "125713010"}, {"ref": "namanhnguynngc/deeplabv3", "kernel_id": "129346732"}]}
{"competition_id": "10155", "kernels": []}
{"competition_id": "10156", "kernels": []}
{"competition_id": "10160", "kernels": [{"ref": "marlenbk/wine-price-and-quantity-points-prediction", "kernel_id": "28359998"}]}
{"competition_id": "10161", "kernels": []}
{"competition_id": "10166", "kernels": []}
{"competition_id": "10170", "kernels": [{"ref": "danofer/taxi-fares-oof-lgbm", "kernel_id": "1377497"}, {"ref": "danofer/h2o-automl-baseline", "kernel_id": "1377744"}, {"ref": "danofer/fare-prediction-baseline-feat-eng", "kernel_id": "1345790"}, {"ref": "danofer/bayesian-optimization-with-xgboost-3-11-lb", "kernel_id": "1384009"}, {"ref": "prabhakaran/ny-fare-prediction-xgboost-jupyter-r", "kernel_id": "1602832"}, {"ref": "jlochter/nyc-taxi-fare-dnn-xgb-ensemble", "kernel_id": "1345491"}, {"ref": "rom1m201363/road-grid-and-backpropagated-dijkstra-with-pytorch", "kernel_id": "1811784"}, {"ref": "tuliocasagrande/nyc-taxi-fare-xgboost", "kernel_id": "1705503"}, {"ref": "vinothkumarsubbiah/new-york-city-taxi-fare-prediction", "kernel_id": "1691452"}, {"ref": "lakshmanok/nyc-starter-kernel-using-bigquery-and-tensorflow", "kernel_id": "1355560"}, {"ref": "btyuhas/bayesian-optimization-with-xgboost", "kernel_id": "1374905"}, {"ref": "gnomows/basic-predictions-with-xgboost", "kernel_id": "1720816"}, {"ref": "erncyp/nyc-taxi-random-forests", "kernel_id": "1416932"}, {"ref": "markdavey/using-tensorflow-code-from-coursera-on-ml-gcp", "kernel_id": "1475267"}, {"ref": "donniedarko/the-fare-next-door", "kernel_id": "1375592"}, {"ref": "donniedarko/deep-haversine", "kernel_id": "1345626"}, {"ref": "aiswaryaramachandran/baseline-model-xgboost-3-03-rmse", "kernel_id": "1461826"}, {"ref": "aiswaryaramachandran/eda-and-feature-engineering", "kernel_id": "1437460"}, {"ref": "dolel22/taxifare-prediction-with-keras", "kernel_id": "1523497"}, {"ref": "jpmiller/intraspecie-differences-based-on-geography", "kernel_id": "1433154"}, {"ref": "sudheerkumar2592/newyorkcitytaxifareprediction-keras-dl", "kernel_id": "1709782"}, {"ref": "nulldata/nyc-map-just-with-taxi-pickup-and-drop-locations", "kernel_id": "1378818"}, {"ref": "adityamangal410/eda-visualizations-and-feature-engineering", "kernel_id": "1395250"}, {"ref": "jaybob20/more-fare-prediction", "kernel_id": "1359755"}, {"ref": "minxuzhang/kernel85b6675d3e", "kernel_id": "1559761"}, {"ref": "richashah1904/nyc-fare-pred-eda-random-forest-grid-search", "kernel_id": "1469871"}, {"ref": "cphang99/fun-and-profit-with-osrm-data", "kernel_id": "1419385"}, {"ref": "cphang99/finding-fare-hotspots-using-kmeans-clustering", "kernel_id": "1384661"}, {"ref": "earthshaker/nyc-taxi-fare-prediciton", "kernel_id": "1995621"}, {"ref": "garylai91/fork-of-feature-engineering-xgboost", "kernel_id": "1638721"}, {"ref": "mouli123/basic-model", "kernel_id": "1493929"}, {"ref": "gauravjoshi1986/new-york-city-taxi-fare-pred-eda", "kernel_id": "1586449"}, {"ref": "aquaplane/starting-eda-and-data-cleaning-part-i", "kernel_id": "1546448"}, {"ref": "darrellulm/time-analysis-w-oof-lgbm", "kernel_id": "1433169"}, {"ref": "manjeetsingh/taxi-fare-prediction", "kernel_id": "1838947"}, {"ref": "sandeepkumar121995/eda-data-cleaning-xg-boost", "kernel_id": "1403755"}, {"ref": "asindico/new-york-taxy-2018-analysis", "kernel_id": "1357869"}, {"ref": "matt29/clean-train-random-forest-and-lgbm", "kernel_id": "1459525"}, {"ref": "ashishpatel26/exploration-of-nyc", "kernel_id": "1370886"}, {"ref": "ashishpatel26/xgb-bayesian-approach-for-nyc-taxi-fare-amount", "kernel_id": "1376938"}, {"ref": "mahtieu/nyc-taxi-fare-prediction-data-expl-xgboost", "kernel_id": "1413593"}, {"ref": "nicapotato/taxi-rides-time-analysis-and-oof-lgbm", "kernel_id": "1350027"}, {"ref": "bekaaa/data-cleaning-corr-fare-amount-distance-83", "kernel_id": "1391626"}, {"ref": "hancelpv/nyc-taxi-fare-prediction", "kernel_id": "1387744"}, {"ref": "ritesaluja/007ny", "kernel_id": "1506807"}, {"ref": "ianchute/nyc-taxi-fares-exploration-insights-models", "kernel_id": "1344781"}, {"ref": "yusukesaito0141/bigqueryml-is-all-you-need", "kernel_id": "1350692"}, {"ref": "akosciansky/using-ml-for-data-exploration-feat-engineering", "kernel_id": "1354754"}, {"ref": "suyash2896/preprocessing-and-creating-new-features", "kernel_id": "1730449"}, {"ref": "sunnets/taxi-fare-prediction-try-3", "kernel_id": "1782585"}, {"ref": "apjansing/preliminary-taxi-data-processing-using-mongodb", "kernel_id": "1380516"}, {"ref": "gunbl4d3/xgboost-ing-taxi-fares", "kernel_id": "1362527"}, {"ref": "willkoehrsen/a-walkthrough-and-a-challenge", "kernel_id": "1590565"}, {"ref": "ffedericoni/nyc-taxi-fare-with-tf-boostedtrees-regressor", "kernel_id": "1682416"}, {"ref": "ffedericoni/taxifare-using-tf-data-to-process-full-dataset", "kernel_id": "1529614"}, {"ref": "ffedericoni/nyc-taxi-fare-data-pipeline-with-tensorflow", "kernel_id": "1448126"}, {"ref": "akashthecool97/feature-engineering-version-1", "kernel_id": "1400227"}, {"ref": "hbajaj/nyc-taxi-fare-xgboost", "kernel_id": "1568887"}, {"ref": "hbajaj/nyc-taxi-fare-rfr-stacked", "kernel_id": "1560601"}, {"ref": "hbajaj/nyc-taxi-fare-rfr-script", "kernel_id": "1551796"}, {"ref": "pnprabakaran/ny-city-taxi-fare-exploration-with-dask-and-dxgb", "kernel_id": "1477391"}, {"ref": "baburam1985/new-york-city-taxi-fare-prediction", "kernel_id": "1511041"}, {"ref": "justjun0321/exploratory-geoclustering-to-modeling", "kernel_id": "1640526"}, {"ref": "varshneydevansh/google-fare-price-prediction", "kernel_id": "1345310"}, {"ref": "parulm/nyc-taxi-fare-xgboost", "kernel_id": "1723571"}, {"ref": "akeshari/new-york-taxi-fare-prediction", "kernel_id": "1723175"}, {"ref": "mohitkhanna/get-the-cost-of-your-next-ride-in-new-york", "kernel_id": "1352786"}, {"ref": "eamanu/data-exploration-feature-engineering-ny-taxi", "kernel_id": "1377770"}, {"ref": "shaz13/simple-exploration-notebook-map-plots-v2", "kernel_id": "1346342"}, {"ref": "badpocyk/nyc-taxi-fare-prediction-with-xgboost", "kernel_id": "1601818"}, {"ref": "mrrajeshreddy/google-new-york-city-taxi-fare-prediction", "kernel_id": "1349612"}, {"ref": "shuaihuang/split-dataset-into-chunks", "kernel_id": "1545318"}, {"ref": "ljewell/feature-cleaning-and-engineering-with-rf", "kernel_id": "1370566"}, {"ref": "manojvijayan/feature-engineering-and-xgboost", "kernel_id": "1347183"}, {"ref": "abhisheksinha28/final-project", "kernel_id": "1997135"}, {"ref": "amitkvikram/newyorkfare-final", "kernel_id": "1729913"}, {"ref": "upperdomain/ml-spark-alpha-group", "kernel_id": "1409066"}, {"ref": "dimitreoliveira/taxi-fare-prediction-with-keras-deep-learning", "kernel_id": "1511047"}, {"ref": "dimitreoliveira/tensorflow-dnn-coursera-ml-course-tutorial", "kernel_id": "1498975"}, {"ref": "dimitreoliveira/how-to-clean-and-pre-process-large-csv-files", "kernel_id": "1479737"}, {"ref": "pibieta/taxi-fare-w-pandas-input-fn-datetime", "kernel_id": "1729495"}, {"ref": "kkkreddi/kernel8591fcd7ac", "kernel_id": "1357725"}, {"ref": "miklgr500/nyt-step-by-step-part-1-data-cleaning", "kernel_id": "1471856"}, {"ref": "yssefunc/mapping-nyc-taxi-with-the-folium-library", "kernel_id": "1378469"}, {"ref": "madhurisivalenka/cleansing-eda-modelling-lgbm-xgboost-starters", "kernel_id": "1371512"}, {"ref": "returnofsputnik/xgboost-ing-taxi-fares-with-rotated-lat-long", "kernel_id": "1369065"}, {"ref": "mogady/analysis-using-basemap-to-visualize-spatial-data", "kernel_id": "1748544"}, {"ref": "jiridobes/nyc-taxi-fare-prediction-lgbm-visualization", "kernel_id": "1615479"}, {"ref": "jiridobes/visualization-weather-lgbm-2-90609", "kernel_id": "1728261"}, {"ref": "humamfauzi/date-expansion-and-incremental-learning", "kernel_id": "1992335"}, {"ref": "pramodkumar8/taxi-fare-prediction-nyc", "kernel_id": "1651922"}, {"ref": "agrawalpuneet/nyc-taxi-fare-data-exploration-d6c785", "kernel_id": "1384464"}, {"ref": "nanometers/pipeline-testing-for-nyc-taxis", "kernel_id": "1571922"}, {"ref": "docxian/nyc-taxi-get-subsample-of-data", "kernel_id": "1350877"}, {"ref": "judesen/fare-prediction", "kernel_id": "1342171"}, {"ref": "junchengzhou/ny-city-taxi-fare-prediction", "kernel_id": "1345978"}, {"ref": "geoffreygeo/nyc-prediction", "kernel_id": "1450098"}, {"ref": "agernehd/machine-learning-for-insights-kaggle-challenge", "kernel_id": "1671067"}, {"ref": "sifanwang/xgboost-ing-taxi-fares", "kernel_id": "1921666"}, {"ref": "rishabh254/nyc-ola", "kernel_id": "1486818"}, {"ref": "suniliitb96/nyc-taxi-fare-prediction", "kernel_id": "1689063"}, {"ref": "ojones3/feature-engineering-corrected-manhattan-distance", "kernel_id": "1383592"}, {"ref": "chidchanok/eda-and-feature-engineering-ac9136", "kernel_id": "1520779"}, {"ref": "dienhoa/deep-learning-with-entity-embeddings", "kernel_id": "1413540"}, {"ref": "dienhoa/nyc-taxi-fare-neural-network-with-pytorch", "kernel_id": "1390589"}, {"ref": "dude431/fare-pred-by-xgboost-and-lot-of-amazing-thing", "kernel_id": "1613515"}, {"ref": "smanimaran0309/new-york-city-taxi-fare-prediction-final", "kernel_id": "1719821"}, {"ref": "breemen/nyc-taxi-fare-data-exploration", "kernel_id": "1354532"}, {"ref": "breemen/nyc-taxi-fare-evaluating-models", "kernel_id": "1368012"}, {"ref": "talismanic/nyc-taxi-fare-starter-kernel-mehedi-s-model", "kernel_id": "1354347"}, {"ref": "jovanaz/what-s-a-fair-fare", "kernel_id": "1345096"}, {"ref": "abkedar/data-cleaning-eda-plotting-location-on-map", "kernel_id": "1490926"}, {"ref": "shinigami0811/new-york-city-taxi-fare", "kernel_id": "1925661"}, {"ref": "ahsanmemon/saving-time-quick-read-55-million-values", "kernel_id": "1531156"}, {"ref": "ahsanmemon/dividing-large-dataset-into-separate-years", "kernel_id": "1531436"}, {"ref": "mikelkn/nyc-taxi-fare-predictions", "kernel_id": "1753840"}, {"ref": "ottpeterr/what-s-a-ride-cost-2-of-2-neural-net", "kernel_id": "1469586"}, {"ref": "ottpeterr/what-s-a-ride-cost-1-of-2-nyc-taxi-fare", "kernel_id": "1410755"}, {"ref": "mhviraf/the-entire-training-data-set-55m-rows", "kernel_id": "1356856"}, {"ref": "tejaeduc/newyorktaxifare", "kernel_id": "1370780"}, {"ref": "hemanglakhani/nyc-taxi-fare-multiple-linear-regression", "kernel_id": "1415999"}, {"ref": "pragyanbo/finding-the-fare-of-taxi-rides", "kernel_id": "1477050"}, {"ref": "anthokalel/new-york-city-taxi-fare-prediction-polytech", "kernel_id": "1979596"}, {"ref": "yashah19/nyc-taxi-fare-prediction", "kernel_id": "1772368"}, {"ref": "martinsantome/ny-taxi", "kernel_id": "1581572"}, {"ref": "nebilekodaz/xgbregressor-for-nyc-taxi-by-a-beginner", "kernel_id": "1360145"}, {"ref": "ferneutron/an-approach-using-different-kinds-of-regressors", "kernel_id": "1709242"}, {"ref": "samextensibleenergy/new-york-taxi-fare-eda-prediction", "kernel_id": "1346251"}, {"ref": "mihirdcoder/exploration-prediction", "kernel_id": "1603602"}, {"ref": "shaliniyaramada/eda-newyork-taxi", "kernel_id": "1376683"}, {"ref": "yizhu5/2-88-nyc-taxi-fare-prediction-yi-zhu", "kernel_id": "1644856"}, {"ref": "vashishtarora/ny-exploration-and-prediction", "kernel_id": "1685580"}, {"ref": "vashishtarora/ny-prediction", "kernel_id": "1685817"}, {"ref": "vashishtarora/ny-fare-prediction", "kernel_id": "1593737"}, {"ref": "vashishtarora/nyc-fare-prediction", "kernel_id": "1655650"}, {"ref": "obrienmitch94/nyc-taxi-fare-prediction", "kernel_id": "1494627"}, {"ref": "yuzhangguo/nyc-taxi", "kernel_id": "1617749"}, {"ref": "morningbitefan/taxi-fare-prediction", "kernel_id": "1476169"}, {"ref": "valentinricher/visualization-and-prediction-of-nyc-taxi-data", "kernel_id": "1879182"}, {"ref": "taavishthaman/xgboost-1m-rows", "kernel_id": "1357350"}, {"ref": "szelee/how-to-import-a-csv-file-of-55-million-rows", "kernel_id": "1350856"}, {"ref": "szelee/eda-on-nyc-taxi-monthly-ride-using-entire-csv", "kernel_id": "1376973"}, {"ref": "akshayb7/nyc-cab-fare-prediction-fastai-rf", "kernel_id": "1355063"}, {"ref": "prashantsaraswat123/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "1977610"}, {"ref": "poedator/precise-identification-of-geographic-areas", "kernel_id": "1688253"}, {"ref": "myrondza10/nyc-taxi-fare-prediction-deep-neural-network", "kernel_id": "1792128"}, {"ref": "victorhz/fork-of-prepare-the-data-for-training", "kernel_id": "1495510"}, {"ref": "victorhz/prepare-the-data-for-training", "kernel_id": "1493578"}, {"ref": "dster/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "1339428"}, {"ref": "abdou19890314/keras-nonlinear-regression-nyctaxi-fare-pred", "kernel_id": "1483263"}, {"ref": "jamebondnguyen/simple-nyc-taxi-fare-starter", "kernel_id": "1347209"}, {"ref": "anubhavkapoor/nyc-data-exploration", "kernel_id": "1433846"}, {"ref": "wangweiyi/linear-regression-demo-with-ny-taxi-fare", "kernel_id": "1440176"}, {"ref": "namakaho/nyctaxi", "kernel_id": "1720610"}, {"ref": "sanket30/tableau-eda-nyc-taxi", "kernel_id": "1459004"}, {"ref": "sanket30/bayesian-optimization-with-xgb-hyperparameter", "kernel_id": "1383531"}, {"ref": "ishansoni/new-york-city-taxi-fare-prediction", "kernel_id": "1681305"}, {"ref": "kuldeepnpatel/to-datetime-is-too-slow-on-large-dataset", "kernel_id": "1473009"}, {"ref": "kuldeepnpatel/new-york-city-taxi-fare-prediction", "kernel_id": "1814884"}, {"ref": "tandonarpit6/new-york-city-taxi-fare-challenge", "kernel_id": "1577323"}, {"ref": "sas2018/nyc-taxi-fare-not-a-learning", "kernel_id": "1589598"}, {"ref": "guoziwei/cs534-ex1", "kernel_id": "1615307"}, {"ref": "corvuslee/nyc-cab-random-forest-practice", "kernel_id": "1827891"}, {"ref": "subhanands/ny-taxi-fare-prediction-subhanan", "kernel_id": "1384074"}, {"ref": "santhoshbala18/fork-of-taxi-fare-prediction", "kernel_id": "1443618"}, {"ref": "yugagrawal95/nyc-regressor-prediction-analysis-for-beginner", "kernel_id": "1550080"}, {"ref": "peicao/fork-of-nyc-taxi-fare-prediction-2-0", "kernel_id": "1658004"}, {"ref": "nocturnaltribe/newyork-city-taxi-fare-prediction", "kernel_id": "1396367"}, {"ref": "wallgren/nyc-taxi-fare-prediction-using-rf-in-r", "kernel_id": "1523447"}, {"ref": "wallgren/r-nyc-taxi-fare-prediction-with-random-forest", "kernel_id": "1507965"}, {"ref": "danpavlov/ny-taxi-fare-comprehensive-and-simple-analysis", "kernel_id": "1372825"}, {"ref": "amar09/fare-prediction-stacked-ensemble-xgboost-lgbm", "kernel_id": "1441105"}, {"ref": "wentzforte/nyc-taxi-fare-prediction", "kernel_id": "1349871"}, {"ref": "bapanes/taxifare-refined-data-generator-bapanes", "kernel_id": "1644311"}, {"ref": "bapanes/taxifare-gridsearch-bapanes", "kernel_id": "1946395"}, {"ref": "alvaroibrain/my-attempt-to-nyc-taxi-fare-prediction", "kernel_id": "1534468"}, {"ref": "louis030195/house-prices", "kernel_id": "1383155"}, {"ref": "hreeya/new-york-taxi-fare-prediction", "kernel_id": "1792360"}, {"ref": "hammieds/taxi-fare-prediction-starter", "kernel_id": "1956034"}, {"ref": "hammieds/real-time-dynamic-taxi-fare-prediction", "kernel_id": "1957327"}, {"ref": "monthepp/new-york-city-taxi-fare-prediction", "kernel_id": "1538623"}, {"ref": "easter3163/simple-analysis-of-new-york-city-fare", "kernel_id": "1696384"}, {"ref": "jalbert0906/taxi-rides-manhattan-manhattan-and-jfk-manhattan", "kernel_id": "1925071"}, {"ref": "amitsh6604/nyc-taxi-fare-prediction-with-xgboost", "kernel_id": "1617324"}, {"ref": "higepon/keras-starter-kernel-for-ny-taxi-fare-prediction", "kernel_id": "1606582"}, {"ref": "caseyworks/nyc-dept-of-transportation-traffic-data-mashup", "kernel_id": "1603677"}, {"ref": "mohit2508/mohit-choudhary-nyctaxi", "kernel_id": "1616835"}, {"ref": "rokumar/kernel18a75a3397", "kernel_id": "1713501"}, {"ref": "nirvik1993/kernelea3af4554d", "kernel_id": "1719308"}, {"ref": "adrienbarraz/fork-of-fork-of-fork-of-fork-of-fork-of-for-e0ea9d", "kernel_id": "1978778"}, {"ref": "jrichie/nyc-taxi-fare-eda-and-random-forest-model", "kernel_id": "2188392"}, {"ref": "caomanhdat/taxi-fare", "kernel_id": "2155145"}, {"ref": "pkkondamuri/nyc-taxi-fare-kpk", "kernel_id": "2519218"}, {"ref": "fereor/computing-driving-distance-via-openstreetmap", "kernel_id": "2881090"}, {"ref": "nikhilmittal/new-york-city-taxi-fare-prediction-0", "kernel_id": "2571714"}, {"ref": "nikhilmittal/new-york-city-taxi-fare-prediction-1", "kernel_id": "2572454"}, {"ref": "omaymas/nyc-fare-prediction-rf-fastai-functions", "kernel_id": "2941169"}, {"ref": "shubhamjoshi2130of/nyc-taxi-price-predictions-84-r-square", "kernel_id": "2514231"}, {"ref": "rajashri/trial", "kernel_id": "2338178"}, {"ref": "hvjkkk/xddddd", "kernel_id": "2288895"}, {"ref": "nicapotato/pytorch-tabular-solution-francesco-pochetti", "kernel_id": "2487914"}, {"ref": "tuanflash/newyorkcitytaxifareprediction-kaggle-course", "kernel_id": "2296229"}, {"ref": "svpikachu/new-york-city-taxi-fare-prediction", "kernel_id": "2605593"}, {"ref": "linhndg/kernel189dc31ddd", "kernel_id": "2188648"}, {"ref": "vashwar/nyc-taxi-interference-dnn", "kernel_id": "2952873"}, {"ref": "amitamb/using-rf", "kernel_id": "2316955"}, {"ref": "sprakash08/heat-maps-and-linear-model-exploration", "kernel_id": "2892134"}, {"ref": "sameesiddiqui/nn-keras", "kernel_id": "2333080"}, {"ref": "sameesiddiqui/linear-model", "kernel_id": "2198961"}, {"ref": "maheshas88/nyc-taxi-fare-prediction-using-deep-learning", "kernel_id": "2358946"}, {"ref": "dineshramasamy/geohashing-and-time-of-day-features", "kernel_id": "2200090"}, {"ref": "kealanman/first-attempt", "kernel_id": "2433415"}, {"ref": "kealanman/ny-taxi-fares", "kernel_id": "2595741"}, {"ref": "econdata/taxi-fare-predictions", "kernel_id": "2530308"}, {"ref": "jossu112/xddddd", "kernel_id": "2294241"}, {"ref": "jossu112/xddddd-5cf523", "kernel_id": "2358686"}, {"ref": "ferneutron/taxi-behavior-prediction-in-new-york", "kernel_id": "2011697"}, {"ref": "eraaz1/taxi-fare-with-linear-regression", "kernel_id": "2312750"}, {"ref": "justk1/new-york-city-taxi-fare-predictions-ud-v1", "kernel_id": "2148021"}, {"ref": "dangizzi/predicting-fare-price-with-random-forest", "kernel_id": "2018933"}, {"ref": "nitishdubey/new-york-taxi-fare", "kernel_id": "2068249"}, {"ref": "nourd1ine/nyc-taxi-fare-data-exploration", "kernel_id": "2115741"}, {"ref": "valdemary/kernel210f2a529b", "kernel_id": "2291846"}, {"ref": "mywu11/train-1-to-8", "kernel_id": "2073590"}, {"ref": "hadrienvinay/taxi-fares-v2", "kernel_id": "2284561"}, {"ref": "aavister/xddddd", "kernel_id": "2328236"}, {"ref": "peterad/nyc-taxi-fare", "kernel_id": "2165373"}, {"ref": "acbattle/newyorkviewdata", "kernel_id": "2682274"}, {"ref": "neumatron11/taxi-weather-holidays-kmeans-neighborhoods-lgb", "kernel_id": "3223192"}, {"ref": "seungwanryu/2019-04-30", "kernel_id": "3756803"}, {"ref": "uptousyoung/eda-feature-engineering-modeling", "kernel_id": "3376370"}, {"ref": "kamelyoussef/nyc-taxi-fare", "kernel_id": "3926845"}, {"ref": "achan1984/taxi-fare-amount", "kernel_id": "3136940"}, {"ref": "fernandohf/analise-e-modelagem-taxi-fare-portuguese", "kernel_id": "3719885"}, {"ref": "fernandohf/analise-e-modelagem-portuguese", "kernel_id": "3719343"}, {"ref": "jalbert0906/pricing-analytics", "kernel_id": "3972089"}, {"ref": "ultraproton/new-york-taxi-fare-prediction", "kernel_id": "3559613"}, {"ref": "shravankp/ny-fare-prediction", "kernel_id": "3644302"}, {"ref": "yairhadad1/taxi-fare-prediction", "kernel_id": "3449011"}, {"ref": "wfoliveira/new-york-city-taxi-fare-prediction", "kernel_id": "3449521"}, {"ref": "rafay12/nyc-taxi-fare-data-exploration", "kernel_id": "3626425"}, {"ref": "pyy0715/nyc-taxi-fare-prediction", "kernel_id": "3493504"}, {"ref": "shubh247/nyc-taxi-fare-with-xg-boost-parameter-tuning", "kernel_id": "3371733"}, {"ref": "kumaml/kuma-ny-taxi-fare-predict", "kernel_id": "3393706"}, {"ref": "hg1483/ml-project-text2", "kernel_id": "3866798"}, {"ref": "chavesfm/nyc-taxi-fare-walkthrough-using-random-forest", "kernel_id": "4411239"}, {"ref": "mitramishra93/taxifareprediction", "kernel_id": "4930911"}, {"ref": "cometouniverse/kernelfc08583212", "kernel_id": "4859844"}, {"ref": "mukul09/new-york-taxi-fare-prediction", "kernel_id": "4054001"}, {"ref": "dhruvgupta2801/taxi-price-prediction", "kernel_id": "4811061"}, {"ref": "faigacajtak/xgboost-and-data-viz-fa-ga", "kernel_id": "4573746"}, {"ref": "shravankp/distance-time-region-analysis", "kernel_id": "4219756"}, {"ref": "harsh22/taxi-fare-prediction-regression", "kernel_id": "4669179"}, {"ref": "pranavpateluk/cleansing-eda-modelling-lgbm-xgboost-starters", "kernel_id": "4597588"}, {"ref": "ma7555/simple-linear-regression-model", "kernel_id": "4117929"}, {"ref": "nhprhodin/challenge-attempt-rhodin", "kernel_id": "4255385"}, {"ref": "nipulseervi/nyc-taxi-fare-data-exploration", "kernel_id": "5676738"}, {"ref": "mksaad/newyork-taxi-fare-xgboosting-gridsearchcv-v2", "kernel_id": "5613987"}, {"ref": "mksaad/newyork-taxi-fare-xgboosting-gridsearchcv", "kernel_id": "5605498"}, {"ref": "sowbarani/simple-exploration-of-nyc-taxi-fare", "kernel_id": "5059020"}, {"ref": "jaddh0/tutorial-kaggle-competitions-and-ml-in-python", "kernel_id": "5206405"}, {"ref": "brij1823/second-attempt", "kernel_id": "5418567"}, {"ref": "fycher/encontro-geam-ny-taxi-fare", "kernel_id": "5553556"}, {"ref": "pierpaolo28/new-york-city-taxi-fare-prediction", "kernel_id": "5374096"}, {"ref": "jaylaksh94/ensemble-model", "kernel_id": "5431716"}, {"ref": "lostboyaaquib/nyc-kernel", "kernel_id": "5199165"}, {"ref": "omarelejla/newyyork-taxi-fare-xgboosting-by-omar", "kernel_id": "5599154"}, {"ref": "omarelejla/fork-of-newyyork-taxi-fare-xgboosting2", "kernel_id": "5618212"}, {"ref": "rahul1394/taxi-fare-prediction-linear-regression", "kernel_id": "5508965"}, {"ref": "luispierro/predi-o-de-taxa-de-corridas-de-taxi", "kernel_id": "5865118"}, {"ref": "jagannathrk/nyc-taxi-fare-eda", "kernel_id": "6945724"}, {"ref": "shanto12/nyc-taxi-fare-data-exploration", "kernel_id": "6197592"}, {"ref": "aimdsml/nyc-taxi-fare", "kernel_id": "6858089"}, {"ref": "rinnqd/workshop-new-york-taxi-supcom", "kernel_id": "6495799"}, {"ref": "ravijoe/data-cleaning-eda-modelling", "kernel_id": "6752871"}, {"ref": "jsvishnuj/eda-feature-generation-regression-analysis", "kernel_id": "6121568"}, {"ref": "pradyu99914/feature-engineering", "kernel_id": "6132274"}, {"ref": "pradyu99914/final-pipeline", "kernel_id": "6693293"}, {"ref": "anushkini/nyc-taxi-fare-graphs", "kernel_id": "6135792"}, {"ref": "anushkini/taxi-xgboost", "kernel_id": "6338997"}, {"ref": "anushkini/taxi-lightgbm", "kernel_id": "6389784"}, {"ref": "mastdove/kernel5be1612756", "kernel_id": "6371535"}, {"ref": "chahedhassine/workshop-new-york-taxi-supcom", "kernel_id": "6587224"}, {"ref": "pelkoja/nyc-taxi-fare-visualizing-spatial-data-in-r", "kernel_id": "7782159"}, {"ref": "tptrich/nyc-taxi-fare-data-exploration", "kernel_id": "7524545"}, {"ref": "impurestpath/kernel7bb4949b56", "kernel_id": "7053152"}, {"ref": "asya666/kernel7a7ad51b1e", "kernel_id": "7606141"}, {"ref": "andmck/first-go-taxis", "kernel_id": "8047168"}, {"ref": "dsaichand3/lgbm-gpu", "kernel_id": "8159586"}, {"ref": "harshith20/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "8436310"}, {"ref": "alvinjohn95/kernel2446630180", "kernel_id": "8950591"}, {"ref": "alvinjohn95/abraca-data", "kernel_id": "8950789"}, {"ref": "dhruvgupta2801/taxi-fare-prediction-eda-linear-regression", "kernel_id": "9515587"}, {"ref": "vamsikurapati/nyc-taxi-fare-data-exploration", "kernel_id": "9528012"}, {"ref": "nishantpatyal/nyc-taxi-fare", "kernel_id": "9203638"}, {"ref": "arthurdimitri/nyc-taxi-fare-prediction-dimitri", "kernel_id": "9538755"}, {"ref": "andreigor08/taxi-fare-andre-igor", "kernel_id": "9436762"}, {"ref": "junooolee/practice-kaggle", "kernel_id": "9981199"}, {"ref": "mickeymond/taxi-fare-modelling", "kernel_id": "9042528"}, {"ref": "affanamin/nyc-taxi-fare-detailed-eda", "kernel_id": "10587558"}, {"ref": "vipina/new-york-city-taxi-fare-prediction-playground-comp", "kernel_id": "10130951"}, {"ref": "mahmudds/new-york-city-taxi-fare-prediction", "kernel_id": "10435773"}, {"ref": "vibeeshk/nyc-taxi-fare-prediction2", "kernel_id": "10451718"}, {"ref": "alexisbcook/intro-to-automl", "kernel_id": "10028103"}, {"ref": "goavalon/nyc-taxi-fare-data-to-feather", "kernel_id": "10164691"}, {"ref": "rahulkr122/nyc-taxi-fare-time-series-forecasting", "kernel_id": "10738968"}, {"ref": "shaelanderchauhan/new-york-taxi-fare-prediction-part1", "kernel_id": "10344050"}, {"ref": "shaelanderchauhan/new-york-taxi-fare-prediction-part2-predictions", "kernel_id": "10729562"}, {"ref": "ryanlambert/my-first-notebook", "kernel_id": "10675130"}, {"ref": "omkardray/nyc-taxi-fare-prediction-xgboost-bayesian-opt", "kernel_id": "10590627"}, {"ref": "elvinagammed/nyc-fare-pytorch-tabular-model", "kernel_id": "10436813"}, {"ref": "rahulkumar234/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "10895584"}, {"ref": "pranavmittal88/taxi-fare", "kernel_id": "10723679"}, {"ref": "teramera/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "10626351"}, {"ref": "shantanugodbole/taxii", "kernel_id": "10623250"}, {"ref": "ahmedmurad1990/nyc-taxi-fare-prediction", "kernel_id": "10890045"}, {"ref": "ahmedmurad1990/eda-data-cleaning-xg-boost", "kernel_id": "10675702"}, {"ref": "katharinepires/taxi-fare-prediction", "kernel_id": "10680022"}, {"ref": "julianbenny/nyc-taxi-fare-linearregression", "kernel_id": "10645935"}, {"ref": "deepesh87/cab-fares-start-to-end-pipeline", "kernel_id": "11152544"}, {"ref": "salazarslytherin/intro-to-ml-full-kaggle-mini-course", "kernel_id": "11170051"}, {"ref": "vinodsunny1/eda-xgboost-for-predicting-fare-amount", "kernel_id": "11056358"}, {"ref": "afrinp/nyc-taxi-fare-prediction-5-lakh-rows", "kernel_id": "11565938"}, {"ref": "chinmaymaganur/taxi-price-w-71-r-score-5-04-mse", "kernel_id": "11029303"}, {"ref": "elvinagammed/tabular-pytorch-90", "kernel_id": "11436631"}, {"ref": "bagavathypriya/taxi-fare-prediction-feature-engineering", "kernel_id": "11800092"}, {"ref": "subhambanerjee1606/statistical-analysis-and-eda-on-cab-fare", "kernel_id": "11520773"}, {"ref": "sudhirmundhra/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "11839301"}, {"ref": "alexs2020/rapdis-and-xg-boost-running-on-gpu", "kernel_id": "11858331"}, {"ref": "nihalhaboush/new-york-city-taxi-fare-xgboosting", "kernel_id": "11050971"}, {"ref": "nihalhaboush/new-york-city-taxi-fare-xgboosting-gridsearch", "kernel_id": "11055488"}, {"ref": "amarshah1999/ny-taxi-fare-prediction", "kernel_id": "11957885"}, {"ref": "ssamant/nyc-taxi-data-trip-trend-analysis", "kernel_id": "11025706"}, {"ref": "jannarongssci/notebook767341d820", "kernel_id": "11685454"}, {"ref": "achyar/regressor-stacking-pipeline", "kernel_id": "12336826"}, {"ref": "achyar/ny-taxi-fare-aua-pipeline", "kernel_id": "12238910"}, {"ref": "shadmanrafi/uber-fair-prediction", "kernel_id": "12699677"}, {"ref": "deepdivelm/nyc-taxi-fares-eda-modelling-2-93", "kernel_id": "12070356"}, {"ref": "allenkong/nyc-taxi-fare", "kernel_id": "12340802"}, {"ref": "jazirhameed/ny-taxi-fare-prediction-keras", "kernel_id": "12067480"}, {"ref": "ashdhyani/taxifareprediction2020-10-16", "kernel_id": "12259944"}, {"ref": "wevertonmdrs/nyc-taxi-fare-ead-and-ml-studies", "kernel_id": "12515686"}, {"ref": "lc4311/notebook1d44554cbc", "kernel_id": "13458124"}, {"ref": "roxana222/lab4-empir", "kernel_id": "13486454"}, {"ref": "wstroks/taxi-predict", "kernel_id": "13202514"}, {"ref": "roohisharma/nyc-taxi-fare", "kernel_id": "13103676"}, {"ref": "sanskrutighadipatil/taxi-fare-f", "kernel_id": "13944137"}, {"ref": "rohitjagirdar/taxi-fair", "kernel_id": "13732508"}, {"ref": "rohitjagirdar/taxi-predict-nyc", "kernel_id": "13600308"}, {"ref": "varunsimhareddy/taxi-fare-new-york-city-varun-predictions", "kernel_id": "13960342"}, {"ref": "hadislow/notebookad5f3d10a6", "kernel_id": "14055751"}, {"ref": "arko007/nyc-taxi-fare-linear-regression", "kernel_id": "14140114"}, {"ref": "marinovik/xgboost-new-york-taxi-fares-prediction", "kernel_id": "14442918"}, {"ref": "chromerai/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "14183248"}, {"ref": "josebarrientos/prediccion-taxi-nyc", "kernel_id": "14074594"}, {"ref": "subhamsagarpaira/taxi-fair-prediction", "kernel_id": "14124715"}, {"ref": "nishita17/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "14778035"}, {"ref": "dhawalsoni/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "14246352"}, {"ref": "jerinm/nyc-taxi-fare-prediction-model", "kernel_id": "15552718"}, {"ref": "xevator/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "15197360"}, {"ref": "semenedel/taxi-fare-prediction", "kernel_id": "15268261"}, {"ref": "anu332/nyc-taxi-fare-predictions-anurag", "kernel_id": "15673718"}, {"ref": "rohitjagirdar/taxi-fare-prediction-eda-linear-regression", "kernel_id": "15781626"}, {"ref": "rohitjagirdar/taxi-fare-prediction", "kernel_id": "15626510"}, {"ref": "mgen2020/taxi-rate-prediction", "kernel_id": "15443712"}, {"ref": "yykt1729/nyc-randomforest", "kernel_id": "15779595"}, {"ref": "hyeonjin6/taxi-fare-prediction-eda-ensemble-xgb-lgbm", "kernel_id": "16713855"}, {"ref": "harikumar123/nyc-taxi-fare-prediction", "kernel_id": "16703272"}, {"ref": "sakshi0100/taxi-fare", "kernel_id": "16650362"}, {"ref": "aryaadesh/nyc-linearreg", "kernel_id": "16714331"}, {"ref": "jeongwonkim10516/taxi-fare-prediction-advanced-regression-tech", "kernel_id": "16668228"}, {"ref": "jerifate/taxi-fare-spatial-visualization-with-lgbm", "kernel_id": "16553302"}, {"ref": "diyadodwad/notebookfc65ce5c99", "kernel_id": "16626212"}, {"ref": "venkat91221/nycda", "kernel_id": "16750991"}, {"ref": "yaquijumaramos/ny-taxi-fare", "kernel_id": "16915313"}, {"ref": "hamzaabdelhedi/quick-look-into-nyc-starter-kernel", "kernel_id": "16540764"}, {"ref": "muskanjha/notebook3d98bced3d", "kernel_id": "16090806"}, {"ref": "jdouet/intro-to-automl", "kernel_id": "16250821"}, {"ref": "sajjadwasti/notebookba37f4008a", "kernel_id": "16602379"}, {"ref": "tenghui1222/notebookc0c4c08b1d", "kernel_id": "17739562"}, {"ref": "ojaswagarg/fare-prediction-with-pytorch-using-nn", "kernel_id": "17250877"}, {"ref": "rishavdash/new-york-taxi-fare-prediction", "kernel_id": "17063699"}, {"ref": "aryaadesh/nyc-linear-reg", "kernel_id": "17139189"}, {"ref": "rushikeshdarge/data-exploration-eda-of-new-york-city-taxi", "kernel_id": "17930640"}, {"ref": "yeeyunjie/taxi-fare-prediction-with-neural-nets", "kernel_id": "17024537"}, {"ref": "jonasziegler/route-calculation-using-gpu-and-public-data", "kernel_id": "17519907"}, {"ref": "abhishayshetty/notebook1c05d9e1c0", "kernel_id": "17237719"}, {"ref": "x6tenz/new-york-city-taxi-fare-prediction", "kernel_id": "17161211"}, {"ref": "rahulgujjar/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "17914422"}, {"ref": "victorbnnt/new-york-city-taxi-fare-prediction", "kernel_id": "17065750"}, {"ref": "stharunkumar/new-york-city-taxi-fare-prediction", "kernel_id": "17667473"}, {"ref": "diyadodwad/notebooka92102bbc2", "kernel_id": "17106828"}, {"ref": "sachingupta2212/notebook73b3d01683", "kernel_id": "17226822"}, {"ref": "pranjal6192/taxi-fare-pred-l-r", "kernel_id": "17721394"}, {"ref": "denimthangjam/nyc-taxi-fare", "kernel_id": "17068284"}, {"ref": "chenxiu153/intro-to-automl", "kernel_id": "17974047"}, {"ref": "biswaroopnath/taxi-fare", "kernel_id": "17920555"}, {"ref": "tenghui1222/introduction-deep-learning-final-v3", "kernel_id": "18218168"}, {"ref": "tenghui1222/introduction-deep-learning-final-v2", "kernel_id": "18119404"}, {"ref": "hamedetezadi/nyc-taxi-fare-pred", "kernel_id": "18497672"}, {"ref": "tejasboss/nyc-taxi-fare", "kernel_id": "18780509"}, {"ref": "take1224/nyctaxi-teams", "kernel_id": "18461619"}, {"ref": "nikhiln2312/notebook0a82b1340a", "kernel_id": "18916789"}, {"ref": "hshibayama/notebook1c6959c6c2", "kernel_id": "18461911"}, {"ref": "hshibayama/notebook2a7e873cea", "kernel_id": "18462108"}, {"ref": "rajeshwaris/nyc-taxi-fare-prediction", "kernel_id": "18734050"}, {"ref": "shayistamulla/new-york-city-taxi-fare-prediction", "kernel_id": "18581414"}, {"ref": "prathikshabr/nyctaxifare-linear-regression-kaggleproject-3", "kernel_id": "18734052"}, {"ref": "adarshsaurabh/nyc-taxi-price-prediction", "kernel_id": "18143924"}, {"ref": "umesh11/nyc-taxi-fare-prediction", "kernel_id": "18423607"}, {"ref": "keerthanamreddy/nyc-taxi-fare-week-3", "kernel_id": "18578524"}, {"ref": "sravyaysk/intro-to-automl-bonus-d11-30days-of-ml", "kernel_id": "19698493"}, {"ref": "phamtheds/intro-to-automl", "kernel_id": "19747886"}, {"ref": "thamilg/intro-to-automl", "kernel_id": "19487088"}, {"ref": "shivangisudan/ny-taxi-fare-prediction", "kernel_id": "19453010"}, {"ref": "cristiancaniu/taxi-fare-predictions", "kernel_id": "20512767"}, {"ref": "anthonypm/nyc-taxi-fare-prediction-xgb-optuna-introduction", "kernel_id": "20056024"}, {"ref": "staticpranav/newyork-city-taxi-fare-prediction", "kernel_id": "20296264"}, {"ref": "jaykjy/nyc-taxi-fare-eda", "kernel_id": "20130403"}, {"ref": "gordanxan/kharytonov-lab4", "kernel_id": "21782712"}, {"ref": "yekahaaagayeham/new-york-city-taxi-fare-prediction-eda-baseline", "kernel_id": "21676569"}, {"ref": "anandabayuaji/cleansing-eda-modelling-lgbm-xgboost-starters", "kernel_id": "21364933"}, {"ref": "madnergod/semenov-lab4", "kernel_id": "21812654"}, {"ref": "ucihamartu/simple-exploration-notebook-map-plots-v2", "kernel_id": "21259322"}, {"ref": "gl1n0o/alexandrov-lab4", "kernel_id": "21095544"}, {"ref": "sergeymorgushin/morgushin-lab-4", "kernel_id": "21542505"}, {"ref": "petrol/test-new-york-city-taxi-fare-prediction", "kernel_id": "22702571"}, {"ref": "sardaanaeginova/clustertaxifarepredict", "kernel_id": "22347332"}, {"ref": "ishizawanaoki/newyorktaxi-lgbm", "kernel_id": "22689148"}, {"ref": "fdmailden/kravchenko-lab4-empi", "kernel_id": "22533457"}, {"ref": "mariasirotkina/sirotkina-lab4-emp", "kernel_id": "22598524"}, {"ref": "skyp1nus/yeromenko-lab4", "kernel_id": "22413563"}, {"ref": "dencho143/barykinlab4", "kernel_id": "22572680"}, {"ref": "denmaslov/maslov-lab4-emp", "kernel_id": "22534977"}, {"ref": "olialutaieva/4-lr-empi", "kernel_id": "22498057"}, {"ref": "vladyslavomelchenko/omelchenko-lab4-final", "kernel_id": "22060752"}, {"ref": "kyrylosokolov/emse-lab4-sokolov", "kernel_id": "22860791"}, {"ref": "yaroslavsamoilenko/samoilenko-lab4", "kernel_id": "22677309"}, {"ref": "tapendrakumar09/xgboost-lgbm-dnn", "kernel_id": "22501131"}, {"ref": "svnsdhananjayreddy/new-york-city-taxi-fare-prediction", "kernel_id": "22265947"}, {"ref": "danilstarykh/danil-starykh-4", "kernel_id": "22485168"}, {"ref": "ncjsnjkcs/pereuda-lab4", "kernel_id": "22724777"}, {"ref": "dimaorizz/kravtsov-lab-4", "kernel_id": "22471476"}, {"ref": "vladyslavchyk/yeromenko-lab4", "kernel_id": "22519260"}, {"ref": "shauryajain/deep-learning-model-using-linear-regression", "kernel_id": "23705255"}, {"ref": "rshibata/notebook-nyctaxi-test", "kernel_id": "23687900"}, {"ref": "ammarsayedtaha/nyc-taxi-fare-prediction-regression", "kernel_id": "23674605"}, {"ref": "specialteatime/taxi1", "kernel_id": "24803804"}, {"ref": "mdmaazkhan/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "24928925"}, {"ref": "polinaagapova/agapova-lab4-empi", "kernel_id": "24574263"}, {"ref": "adnanferdousashrafi/nyc-taxi-fare-time-series-forecasting", "kernel_id": "25979776"}, {"ref": "ashishbhagwat/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "25660315"}, {"ref": "ttdl978/4573-work", "kernel_id": "25740979"}, {"ref": "sunnychandrvanshi/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "25687420"}, {"ref": "eie036vikashpatel/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "25412157"}, {"ref": "junaidfazam/taxi-fare-prediction", "kernel_id": "26042617"}, {"ref": "rahmafarag/taxi-fare-predict", "kernel_id": "26964316"}, {"ref": "moatazbellahahmed/taxi-driver-fare-prediction-eda", "kernel_id": "26363331"}, {"ref": "vikranthkumar/newyork-city-taxi-fare-prediction", "kernel_id": "26889876"}, {"ref": "kunalnagam/nyc-taxi-fare", "kernel_id": "26665852"}, {"ref": "mohammadjahidhassan/nyc-taxi-fare-final", "kernel_id": "26033727"}, {"ref": "mohammadjahidhassan/nyc-taxi-fare", "kernel_id": "26058823"}, {"ref": "rameshrallapalli/nyc-taxi-fare-prediction", "kernel_id": "27684399"}, {"ref": "kinsiangchia/new-york-taxi-fares-lgb", "kernel_id": "27690497"}, {"ref": "anushadhavala/cleansing-eda-modelling-lgbm-xgboost-starters", "kernel_id": "27683298"}, {"ref": "vishalmishra1400/new-york-taxi-fare-prediction", "kernel_id": "28434164"}, {"ref": "yogeshm/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "29517529"}, {"ref": "nikatsereteli/eda-cleaning-feature-engineering-xgboost", "kernel_id": "29482068"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "aneeshtickoo/ny-taxi-prediction", "kernel_id": "29551940"}, {"ref": "erybor/final-version", "kernel_id": "29481266"}, {"ref": "o1ommo1o/datamining-assignment-2", "kernel_id": "29610518"}, {"ref": "vishesh1412/new-york-taxi-fare-prediction-linear-regression", "kernel_id": "29933804"}, {"ref": "lukabarbakadze/eda-fe-rf-xgb", "kernel_id": "29402764"}, {"ref": "anaqildeli/fork-of-new-york-city-taxi-fare-prediction", "kernel_id": "29488858"}, {"ref": "anaqildeli/new-york-city-taxi-fare-prediction", "kernel_id": "29409252"}, {"ref": "giorgichkhitunidze/task-for-the-internship", "kernel_id": "29425872"}, {"ref": "nikanatsvlishvili/eda-map-visualization-6-model", "kernel_id": "29298693"}, {"ref": "iozakarashvili/notebooke312c109a9", "kernel_id": "29366808"}, {"ref": "anagogia/notebook5189301838", "kernel_id": "29474866"}, {"ref": "temuradeishvili/taxi-fare-amount", "kernel_id": "29475340"}, {"ref": "mariamgiorgadze23/notebook40de3fa9a2", "kernel_id": "29387288"}, {"ref": "vishank97/taxi-fare-prediction", "kernel_id": "30953795"}, {"ref": "kajalyadav8175/predict-taxi-fares-a-regression-problem", "kernel_id": "30145817"}, {"ref": "buck8bunny/em-lab-3", "kernel_id": "30892529"}, {"ref": "rinichristy/new-york-city-taxi-fare-prediction", "kernel_id": "31764814"}, {"ref": "yefimsokolov/nyc-taxi-fare-regression-eda-catboost", "kernel_id": "31286338"}, {"ref": "masoudnaghshbandi/new-york-city-taxi-fare-prediction", "kernel_id": "31138052"}, {"ref": "pitesatit/nyc-taxi-xgboost-with-local-price-per-km-features", "kernel_id": "32394666"}, {"ref": "zlodey509/gluhov-empi-lab3", "kernel_id": "32195617"}, {"ref": "rotcode/masyukevych-lab3-em", "kernel_id": "33529492"}, {"ref": "vivekpatel99/new-york-city-taxi-fare-prediction-ml-and-ann", "kernel_id": "33810837"}, {"ref": "adityasiddharthjyoti/new-york-city-taxi-fare-prediction", "kernel_id": "33986630"}, {"ref": "abdurraffay00/nyc-taxi-fare-predictor", "kernel_id": "34301453"}, {"ref": "beydaguler/new-york-city-taxi-fare-prediction", "kernel_id": "34697830"}, {"ref": "flagella/nyc-taxi-fare-prediction", "kernel_id": "34577849"}, {"ref": "yentingwang108605504/nyctaxi-final", "kernel_id": "34085112"}, {"ref": "patrickstarrrr/deep-feedforward-networks-mlp-taxi-fare-predict", "kernel_id": "35856804"}, {"ref": "debjeetdas/nyc-taxi-fare-eda-prediction-using-linear-reg", "kernel_id": "35363206"}, {"ref": "yusuphmustaphaladi/ny-fare-pred", "kernel_id": "35879893"}, {"ref": "javohirtoshqorgonov/taxi-fare-prediction", "kernel_id": "35736837"}, {"ref": "kaibaur/taxi-fare-simplerandomforest-score-3-99", "kernel_id": "35737223"}, {"ref": "adityasiddharthjyoti/new-york-city-taxi-fare-prediction-90c2ca", "kernel_id": "35576492"}, {"ref": "davidnguyens12/new-york-city-taxi-fare-prediction-nvn", "kernel_id": "36345122"}, {"ref": "lchooo/taxi-fare", "kernel_id": "36385504"}, {"ref": "aleksandrkhalikov/new-york-city-taxi-fare-prediction", "kernel_id": "36276465"}, {"ref": "gaspareduard/notebook3465d7c3bf", "kernel_id": "36737689"}, {"ref": "bhaveshdhote/notebook937f8ccb90", "kernel_id": "37351128"}, {"ref": "patelvedang/notebookcc2577796f", "kernel_id": "37795336"}, {"ref": "alvintest/group34-taxi-fare-prediction", "kernel_id": "38444236"}, {"ref": "sridharstreaks/new-york-taxi-fare-prediction-score-3-1899", "kernel_id": "38724904"}, {"ref": "aqsskhan/new-york-taxi-fare-prediction-score-3-1899-70f38a", "kernel_id": "38889232"}, {"ref": "nivedithavudayagiri/ny-taxi-pred-eda-submission-3-17021", "kernel_id": "39607691"}, {"ref": "snehagilada/nyc-taxi-fare-eda-random-forest", "kernel_id": "39837452"}, {"ref": "matcha0714/taxi-prediction-in-catboost", "kernel_id": "39131885"}, {"ref": "zahrasanjanj/kelompok-1-new-york-city-taxi-fare-prediction", "kernel_id": "39192546"}, {"ref": "maxtsis/tsis-lab3", "kernel_id": "39041289"}, {"ref": "yutosakaguchi/notebookdc94ccaaea", "kernel_id": "40784972"}, {"ref": "yokohiro88/notebookdc94ccaaea", "kernel_id": "40785121"}, {"ref": "yugoyamamori/notebookdc94-nw", "kernel_id": "40777313"}, {"ref": "yugoyamamori/notebookbdf3355616", "kernel_id": "40689219"}, {"ref": "rfujita/notebook49316d0aac", "kernel_id": "40785591"}, {"ref": "furuyayuto/notebookb6628a84a9", "kernel_id": "40784532"}, {"ref": "itohtsubasa/datescience-2", "kernel_id": "40808459"}, {"ref": "yokohiro88/notebook13752b0516", "kernel_id": "41517997"}, {"ref": "yugoyamamori/notebook13752b0516", "kernel_id": "41299042"}, {"ref": "shensining/notebook2b9c184913", "kernel_id": "41538083"}, {"ref": "suzukishota888/notebook07509eb51f", "kernel_id": "41060298"}, {"ref": "toitsuboi/notebook70e7b14c5f", "kernel_id": "41508921"}, {"ref": "ssssssaaaaaa1015/notebook13752b0516", "kernel_id": "41525774"}, {"ref": "sawadaakari/notebookd9c1cbcb28", "kernel_id": "41523865"}, {"ref": "tanmayim/new-york-city-taxi-fare-prediction", "kernel_id": "42587843"}, {"ref": "omkarjoshi2002/new-york-city-taxi-fare-prediction", "kernel_id": "43194621"}, {"ref": "ashutosh39/new-york-city-prediction-using-regression-models", "kernel_id": "44635715"}, {"ref": "priteepriyadarshini/ny-taxi-fare-using-lr", "kernel_id": "44294258"}, {"ref": "vilenamuzipova/newyork-taxi", "kernel_id": "45864230"}, {"ref": "jjasonnn/scu-data-mining-nyc-taxi-predict", "kernel_id": "46290239"}, {"ref": "vilenamuzipova/taxi-catboost", "kernel_id": "46645293"}, {"ref": "bulbazavr/new-york-city-taxi-fare-prediction", "kernel_id": "46636835"}, {"ref": "chekushkin/taxi-fare", "kernel_id": "46644156"}, {"ref": "aayushsin7a/new-york-city-taxi-fare-prediction", "kernel_id": "48794477"}, {"ref": "mdismielhossenabir/new-york-city-taxi-fare-prediction", "kernel_id": "48885289"}, {"ref": "sonaidas/new-york-taxi-fare-prediction", "kernel_id": "48080987"}, {"ref": "masanum/final-kadai", "kernel_id": "48007095"}, {"ref": "masanum/default-score", "kernel_id": "49629502"}, {"ref": "kbdharun/nyc-taxi-fare-prediction", "kernel_id": "50587521"}, {"ref": "shirinymn/youtube-dataset-simple-regression", "kernel_id": "51649765"}, {"ref": "minhnguyendai/nyc-eda", "kernel_id": "51868320"}, {"ref": "alonshlomi/new-york-taxi-random-forest", "kernel_id": "52847062"}, {"ref": "alonshlomi/new-york-taxi-linearregression", "kernel_id": "52844956"}, {"ref": "anthonyktchang/taxifare", "kernel_id": "53983693"}, {"ref": "alonshlomi/new-york-taxi-dtr", "kernel_id": "53409663"}, {"ref": "alonshlomi/visual-data", "kernel_id": "53404162"}, {"ref": "vanshbatra10/beginner-friendly-ensemble-xgb-cat", "kernel_id": "54134978"}, {"ref": "rrkcoder/xgboost", "kernel_id": "54492763"}, {"ref": "alonshlomi/new-york-taxi-gams", "kernel_id": "54203840"}, {"ref": "nikaglunchadze/linear-regression-and-xgboost", "kernel_id": "55035965"}, {"ref": "mariamzhorzholiani/assi1", "kernel_id": "55816097"}, {"ref": "giorgikldiashvili/ml-midterm", "kernel_id": "55190741"}, {"ref": "giorgikobakhia/notebook9f457cce00", "kernel_id": "55346270"}, {"ref": "akakigurgenidze/taxi-assignment", "kernel_id": "55295441"}, {"ref": "mariamjavakhishvili/nyc-taxi-fare", "kernel_id": "55031639"}, {"ref": "tinthng/ml-predict-new-york-city-taxi-fare", "kernel_id": "56695586"}, {"ref": "numbzodiac/notebookdd94a534a7", "kernel_id": "56745308"}, {"ref": "lukadarsalia/new-york-taxi-fare", "kernel_id": "56434704"}, {"ref": "tenhorsesforever/nyc-taxi-fare-prediction", "kernel_id": "56860098"}, {"ref": "mtmtme/share-my-work", "kernel_id": "56859725"}, {"ref": "lukakhukhua/assignment-1", "kernel_id": "56090715"}, {"ref": "davitbenashvili/nyc-taxi-fare-xgbreggressor", "kernel_id": "56754915"}, {"ref": "rezigogichaishvili/notebookd545abd0ab", "kernel_id": "56534035"}, {"ref": "sabaskhiladze/nyc-taxi-fare", "kernel_id": "56140920"}, {"ref": "lashakuprashvili/lkupr21", "kernel_id": "56729482"}, {"ref": "revazchikovani/nyctaxifare-rchik20", "kernel_id": "56721026"}, {"ref": "giorgilasareishvili/notebooka9a0ef9fae", "kernel_id": "56834463"}, {"ref": "nikolozsaginadze/notebooke3d98f0596", "kernel_id": "56855136"}, {"ref": "zukachilachava/notebook3ae14b1b62", "kernel_id": "57460563"}, {"ref": "ninogogoberishvili/notebook800a626179", "kernel_id": "57922200"}, {"ref": "nnnjjjjnn/ml-mid1", "kernel_id": "57769461"}, {"ref": "mariamtsutskiridze/1assignment", "kernel_id": "57463777"}, {"ref": "nikakovziridze/notebook8f395fa24c", "kernel_id": "57772735"}, {"ref": "nikolozkhetsuriani/nikoloz-khetsuriani-solution", "kernel_id": "57501102"}, {"ref": "mariamratiani2/davaleba1", "kernel_id": "57417002"}, {"ref": "iraklikhutsishvili/nyc-taxi-fare-ikhut21", "kernel_id": "57439084"}, {"ref": "besarionimanagadze/notebook19fc83a043", "kernel_id": "57927480"}, {"ref": "davitpatsinashvili/midterm-assignment", "kernel_id": "58116499"}, {"ref": "nikaglunchadze/linear-regression-xgboost", "kernel_id": "58120557"}, {"ref": "shucream21/test-saito", "kernel_id": "58961543"}, {"ref": "mariamtsikarishvili/new-york-city-taxi-fare-prediction-1", "kernel_id": "58183250"}, {"ref": "ketevanbegiashvili/nyc-taxi-fare-predictions", "kernel_id": "58121549"}, {"ref": "aleksandrekhutchua/akhuc20", "kernel_id": "58168198"}, {"ref": "nikolozkhetsuriani/fork-of-notebook44d5249ddf", "kernel_id": "58223594"}, {"ref": "lizidadiani/ldadi21-ml", "kernel_id": "58219707"}, {"ref": "jamessuryaputra/coder-cab", "kernel_id": "59926469"}, {"ref": "snakewoodman/ny-taxi-xgb", "kernel_id": "61881421"}, {"ref": "maximum27/taxipredict", "kernel_id": "61399906"}, {"ref": "maximum27/notebook20c97eac52", "kernel_id": "61462763"}, {"ref": "himanshu03347/ny-taxi-fare", "kernel_id": "62749489"}, {"ref": "hkkmno/datescience-class6-group8-okimi", "kernel_id": "62796130"}, {"ref": "hkkmno/nyc-000777111222", "kernel_id": "62768621"}, {"ref": "hijityamun/notebook20240722nyctaxiohata", "kernel_id": "62009570"}, {"ref": "yamasakiiiii/notebook3dcafcbb3d", "kernel_id": "62791143"}, {"ref": "okunonene/notebook6100dc99d3", "kernel_id": "62486992"}, {"ref": "okunonene/notebookb962b90786", "kernel_id": "62763546"}, {"ref": "okunonene/notebookaf20d09c1b", "kernel_id": "62801404"}, {"ref": "ktaka285/notebook08d1026fee", "kernel_id": "62780512"}, {"ref": "lukajincharadze/ml-midterm", "kernel_id": "63651719"}, {"ref": "besarionimanagadze/fork-of-notebook19fc83a043", "kernel_id": "63442979"}, {"ref": "besarionimanagadze/fork-of-notebook19fc83a043-d4a34f", "kernel_id": "63443044"}, {"ref": "mridulchdry17/xgb-3-22", "kernel_id": "64221900"}, {"ref": "jefferson23/lab7-intneg", "kernel_id": "66535047"}, {"ref": "yarome/geo-data-features", "kernel_id": "70031209"}, {"ref": "ashirzaki/pyspark-on-nyc-taxi-fare-prediction", "kernel_id": "70099765"}, {"ref": "egorandreasyan/geo-time-gg", "kernel_id": "70305355"}, {"ref": "egorandreasyan/geo-time-taxi", "kernel_id": "70431799"}, {"ref": "simonsuslyakov/time-geo", "kernel_id": "70166713"}, {"ref": "bttqbelpw/sai-10-lightautoml", "kernel_id": "70498580"}, {"ref": "ivan165/fork-of-fork-of-ml-graduation-project", "kernel_id": "72678913"}, {"ref": "burakgurhan/new-york-city-taksi-creti-tahmini", "kernel_id": "72558065"}, {"ref": "dmitrychuzov/ml-lab2", "kernel_id": "75309379"}, {"ref": "tututz/proyek-big-data", "kernel_id": "78505307"}, {"ref": "dmitrysavkov/beginner-way-of-predicting-taxi-fares", "kernel_id": "78484735"}, {"ref": "nikolasgegenava/taxi-fare", "kernel_id": "80560498"}, {"ref": "mardijker/new-york-city-fare", "kernel_id": "81867117"}, {"ref": "bilgingunes/new-york-city-taxi-fare-prediction", "kernel_id": "82063116"}, {"ref": "andrewzhogov/nyc-taxi-fare-eda-random-forest", "kernel_id": "85563605"}, {"ref": "doggzroad/notebook4f1776b665", "kernel_id": "86496665"}, {"ref": "doggzroad/notebooke7f33f34c8", "kernel_id": "86713542"}, {"ref": "rezaullahmiyanreza/project-work-new-york-city-taxi-fare-prediction", "kernel_id": "86779866"}, {"ref": "abcanal/notebookd8e05281ff", "kernel_id": "86385955"}, {"ref": "onishinaotaka/notebooke91cf9ec9b", "kernel_id": "86378367"}, {"ref": "ryosuke1111/notebook486069096a", "kernel_id": "87338772"}, {"ref": "detazarasi/notebookae23296990", "kernel_id": "87386368"}, {"ref": "detazarasi/notebooke7f33f34c8", "kernel_id": "87382411"}, {"ref": "ivanekargareteli/notebook2d5ae06c0d", "kernel_id": "88253775"}, {"ref": "shantanuwisework/taxi-fair-anomaly-detection", "kernel_id": "90986458"}, {"ref": "parthzadeshwariya/nyc-taxi-fare-prediction", "kernel_id": "92897858"}, {"ref": "carsoncheng/taxi-fare-prediction", "kernel_id": "94393483"}, {"ref": "arvapallimanikanta/nyc-taxi-fare-prediction", "kernel_id": "94718619"}, {"ref": "lucymlai32/end-to-end-ml-nyc-taxi-fare-prediction-model", "kernel_id": "94414338"}, {"ref": "ranggaathari/deduy", "kernel_id": "96684640"}, {"ref": "mochandi/nyc-taxi-fare-pyspark", "kernel_id": "96624538"}, {"ref": "meobocute/nyc-taxi-fare-starter-kernel-simple-linear-model", "kernel_id": "96211741"}, {"ref": "pranaybabu/nyc-linear-reg", "kernel_id": "98701277"}, {"ref": "hithamohana/notebook1475cd0a01", "kernel_id": "100521957"}, {"ref": "shreeyashah/taxifareprediction", "kernel_id": "103136856"}, {"ref": "hanhaerin/asm2-aie", "kernel_id": "108698709"}, {"ref": "nvanhieu15/asm2-aie", "kernel_id": "108729606"}, {"ref": "potapovaolesya/notebook6b4cc2cbac", "kernel_id": "111996342"}, {"ref": "naresh3101/mlp-kaggle-2026", "kernel_id": "111662044"}, {"ref": "naresh3101/naresh-taxi-fare-prediction", "kernel_id": "112098486"}, {"ref": "juneherrerawatanabe/proyecto-1-ia-nyc-taxi", "kernel_id": "114627671"}, {"ref": "fazarirazkadavira/pyspark-big-data", "kernel_id": "118106724"}, {"ref": "bardiabahadori/nyc-taxi-fare-geospatial-features-gbt-tuning", "kernel_id": "127696598"}, {"ref": "abomargiani/scale-up-abo", "kernel_id": "132468172"}, {"ref": "ankitanayak1234/fork-of-assigment2", "kernel_id": "134453073"}, {"ref": "nishantttt2004/assigment2-modified", "kernel_id": "134364971"}]}
{"competition_id": "10171", "kernels": [{"ref": "logicbehind/kernelcf36af6546", "kernel_id": "1284663"}]}
{"competition_id": "10172", "kernels": [{"ref": "smansur/sleep-time-detection", "kernel_id": "1310887"}]}
{"competition_id": "10189", "kernels": []}
{"competition_id": "10192", "kernels": []}
{"competition_id": "10194", "kernels": []}
{"competition_id": "10195", "kernels": []}
{"competition_id": "10200", "kernels": [{"ref": "gaborfodor/shuffle-csvs", "kernel_id": "1863250"}, {"ref": "gaborfodor/black-white-cnn-lb-0-77", "kernel_id": "1877041"}, {"ref": "gaborfodor/shuffle-animal-csvs", "kernel_id": "1890887"}, {"ref": "gaborfodor/greyscale-mobilenet-lb-0-892", "kernel_id": "1899614"}, {"ref": "gaborfodor/how-to-draw-an-owl-lb-0-002", "kernel_id": "1751526"}, {"ref": "gaborfodor/un-recognized-drawings", "kernel_id": "1822094"}, {"ref": "titericz/black-white-cnn-lb-0-782", "kernel_id": "1885285"}, {"ref": "inversion/getting-started-viewing-quick-draw-doodles-etc", "kernel_id": "1729792"}, {"ref": "kmader/quickdraw-baseline-lstm-reading-and-submission", "kernel_id": "1746955"}, {"ref": "kmader/quickdraw-with-wavenet-classifier", "kernel_id": "1777210"}, {"ref": "bluecat/drawing-doodles-in-r", "kernel_id": "1890620"}, {"ref": "avinashrai/quickdraw-with-wavenet-classifier-tunning", "kernel_id": "1806245"}, {"ref": "mihaskalic/when-in-doubt-convnets", "kernel_id": "1739712"}, {"ref": "steubk/how-an-owl-is-drawn", "kernel_id": "1920902"}, {"ref": "dileep31/lstm-full-data-generator", "kernel_id": "1949256"}, {"ref": "jtlowery/overlaying-drawings-and-distributions-by-word", "kernel_id": "1740299"}, {"ref": "jpmiller/image-based-cnn", "kernel_id": "1741072"}, {"ref": "mithrillion/clockwise-or-counterclockwise", "kernel_id": "1761811"}, {"ref": "shriram1510/fork-of-doodel-detection", "kernel_id": "1919696"}, {"ref": "shriram1510/doodel-detection", "kernel_id": "1917858"}, {"ref": "sorokin/convert-ujipenchars2-to-the-quick-draw-dataset", "kernel_id": "1862281"}, {"ref": "sorokin/sketch-entropy", "kernel_id": "1852247"}, {"ref": "paulorzp/ensemble-weighted-voting", "kernel_id": "1930184"}, {"ref": "baranwal/doodel-detection-2-cnn", "kernel_id": "1924333"}, {"ref": "knageswara78/kaggle-titanic-python-solution-real-time", "kernel_id": "1750392"}, {"ref": "morrisb/raw-stroke-sequences-in-1d-cnn", "kernel_id": "1892808"}, {"ref": "onefoot/eda-and-image-processing", "kernel_id": "1882096"}, {"ref": "kmmohsin/4-beginners-convnet-in-tf-memory-savings", "kernel_id": "1747354"}, {"ref": "olgabelitskaya/quick-draw-doodle-recognition-2", "kernel_id": "1801791"}, {"ref": "olgabelitskaya/quick-draw-doodle-recognition-1", "kernel_id": "1748597"}, {"ref": "olgabelitskaya/quick-draw-doodle-recognition-opencv", "kernel_id": "1949415"}, {"ref": "olgabelitskaya/quick-draw-doodle-recognition-opencv2", "kernel_id": "1973740"}, {"ref": "echomil/mobilenet-126x126x3-100k-per-class", "kernel_id": "1937202"}, {"ref": "byrachonok/short-simple-code-for-show-quick-draw-data", "kernel_id": "1950654"}, {"ref": "mahmoudmohsen213/quickdraw-image-counter", "kernel_id": "1805023"}, {"ref": "prajjwal/resnet-clr-pytorch", "kernel_id": "1748472"}, {"ref": "dimitreoliveira/quick-tips-converting-drawings-to-numpy-arrays", "kernel_id": "1751282"}, {"ref": "dimitreoliveira/quick-draw-simple-eda", "kernel_id": "1747099"}, {"ref": "dimitreoliveira/deep-learning-cnn-naive-approach", "kernel_id": "1747613"}, {"ref": "meaninglesslives/visualizing-all-the-images", "kernel_id": "1752481"}, {"ref": "ahmedelnaggar/transfer-learning", "kernel_id": "1829091"}, {"ref": "harunshimanto/lets-play-with-quick-draw", "kernel_id": "1756850"}, {"ref": "marikekoch/quick-draw-mp", "kernel_id": "1899408"}, {"ref": "kushalr/lets-go-doodles", "kernel_id": "1996558"}, {"ref": "xmaayy/converting-vector-images-to-binary-images", "kernel_id": "1746727"}, {"ref": "amneves/quick-draw-keras-cnn-model", "kernel_id": "1811880"}, {"ref": "kbhartiya83/cnns-to-the-rescue", "kernel_id": "1966493"}, {"ref": "monthepp/quick-draw-doodle-recognition-challenge-keras", "kernel_id": "1849760"}, {"ref": "raknick/sketch-buster-9000", "kernel_id": "1980622"}, {"ref": "gaborfodor/black-white-cnn-animals", "kernel_id": "2042911"}, {"ref": "gaborfodor/greyscale-mobilenet-animals", "kernel_id": "2043162"}, {"ref": "gaborfodor/data-reggeli", "kernel_id": "2044026"}, {"ref": "kmader/quickdraw-baseline-lstm-torch", "kernel_id": "2710680"}, {"ref": "mko000/help-me-improve", "kernel_id": "2063132"}, {"ref": "bhalchandranaik/image-based-cnn", "kernel_id": "2314772"}, {"ref": "remidi/robust-train-and-valid-split", "kernel_id": "2145450"}, {"ref": "remidi/simple-strokes-to-rgb-kernel", "kernel_id": "2108199"}, {"ref": "huyenvyvy/bidirectional-lstm-using-data-generator-lb-0-825", "kernel_id": "2032807"}, {"ref": "huyenvyvy/fork-of-combining-cnn-and-rnn", "kernel_id": "2209673"}, {"ref": "deepchatterjeevns/greyscale-mobilenet-forked-from-beluga", "kernel_id": "2270619"}, {"ref": "baranwal/doodle-detection-dataprep", "kernel_id": "2131602"}, {"ref": "thisisaditya/quickdraw-baseline-lstm-reading-and-submiss-b779f0", "kernel_id": "2323641"}, {"ref": "wh1tezzz/data-augmentation-local-deformation", "kernel_id": "2009995"}, {"ref": "kapilyadav/doodle-final", "kernel_id": "2466662"}, {"ref": "kapilyadav/doodle-challenge-v4", "kernel_id": "2404436"}, {"ref": "kapilyadav/doodle-detection-dataprep", "kernel_id": "2403553"}, {"ref": "kapilyadav/doodel-detection-2-cnn", "kernel_id": "2403008"}, {"ref": "kapilyadav/doodle-detection", "kernel_id": "2821419"}, {"ref": "suyash93/quick-draw-using-estimator-and-data-pipelines", "kernel_id": "2241490"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "arunkumarramanan/awesome-ml-frameworks-and-mnist-classification", "kernel_id": "2270215"}, {"ref": "faallen/r-vgis-mini", "kernel_id": "2178200"}, {"ref": "parvashah/quick-tips-converting-drawings-to-numpy-arrays", "kernel_id": "2320984"}, {"ref": "parvashah/bidirectional-lstm-using-data-generator-lb-0-825", "kernel_id": "2263265"}, {"ref": "parvashah/fork-of-combining-cnn-and-rnn", "kernel_id": "2262591"}, {"ref": "parvashah/bidirectional-lstm-using-data-generator-lb-c5d0af", "kernel_id": "2263522"}, {"ref": "parvashah/image-based-cnn", "kernel_id": "2216377"}, {"ref": "lukeeee/sketch-r2cnn-mini", "kernel_id": "2263179"}, {"ref": "dromosys/fast-ai-quick-draw", "kernel_id": "2114833"}, {"ref": "sheboke93/how-i-colored-strokes", "kernel_id": "2193393"}, {"ref": "ahmedelnaggar/final-doodle", "kernel_id": "2171209"}, {"ref": "vinayaks/mobilenetv2-with-submission-v1", "kernel_id": "2015263"}, {"ref": "nicstar92/quick-draw-doodle-recognition-challenge", "kernel_id": "2232989"}, {"ref": "kotarojp/first-step-for-submission-keras-resnet50", "kernel_id": "2143069"}, {"ref": "bloonz/black-white-cnn-lb-0-77-6966ad", "kernel_id": "2208238"}, {"ref": "bloonz/fork-of-black-white-cnn-lb-0-77-6966ad", "kernel_id": "2248906"}, {"ref": "guntherthepenguin/fastai-resnet18-color-coded-and-focalloss", "kernel_id": "2032226"}, {"ref": "leighplt/pytorch-starter-kit", "kernel_id": "2145428"}, {"ref": "lamhoangtung/densenet-121-lb-0-925", "kernel_id": "2259173"}, {"ref": "gaelblanch/fold-two-doodler6", "kernel_id": "2215759"}, {"ref": "pathofdata/quickdrawing-with-gated-convolutions", "kernel_id": "2318265"}, {"ref": "fredriccliver/eda-doodle", "kernel_id": "2050951"}, {"ref": "jjone36/the-easiest-code-for-catching-doodle", "kernel_id": "2748711"}, {"ref": "mgreene02/bounded-1-d-array-of-google-quick-drawings", "kernel_id": "2104093"}, {"ref": "daehungwak/eda-doodle", "kernel_id": "2035774"}, {"ref": "dassgrv/custom-files", "kernel_id": "2010877"}, {"ref": "diegoperezsalas/blueprint-pressure-gauge-recognition", "kernel_id": "2017889"}, {"ref": "supers80/rvgis-exam", "kernel_id": "2122608"}, {"ref": "qlasty/mobilenet-area-context", "kernel_id": "2198984"}, {"ref": "qlasty/localization-context-country-continent", "kernel_id": "2140599"}, {"ref": "qlasty/area-context-country-clustering", "kernel_id": "2174384"}, {"ref": "olivergh/greyscale-mobilenet-without-the-mobilenet", "kernel_id": "2145343"}, {"ref": "sebfrede/frederik-s-funetwork", "kernel_id": "2165344"}, {"ref": "turbstructor/image-based-cnn", "kernel_id": "2297980"}, {"ref": "haley2203/kernel35ed4032ee", "kernel_id": "3895506"}, {"ref": "mnmjh1215/mobilenet-v1-with-per-epoch-dataset", "kernel_id": "3940896"}, {"ref": "mnmjh1215/mobilenet-v1-128x128x3-image", "kernel_id": "3934852"}, {"ref": "qiangbryan/active-learning-on-quickdraw-game", "kernel_id": "3541479"}, {"ref": "jeongchanwoo/merge-model", "kernel_id": "3959098"}, {"ref": "jeongchanwoo/chunk-preprocessing", "kernel_id": "3949510"}, {"ref": "wodud6349/kernel3baefb6bac", "kernel_id": "3958829"}, {"ref": "mojoblue7/quick-draw-assignment", "kernel_id": "3880215"}, {"ref": "pdx250697/quick-draw", "kernel_id": "3533121"}, {"ref": "aleksandradeis/getting-started-with-pytorch-for-quick-draw", "kernel_id": "3930413"}, {"ref": "dkbeee/hoeyeon-cnn-keras", "kernel_id": "3881502"}, {"ref": "ironkim/quick-draw-doodle-recognition-challenge", "kernel_id": "3879807"}, {"ref": "khahuras/google-doodle-tutorial-for-beginner", "kernel_id": "3180008"}, {"ref": "jaeboklee/pytorch-transfer-learning-with-densenet", "kernel_id": "3906113"}, {"ref": "donghyung/quick-draw", "kernel_id": "3977696"}, {"ref": "ddw02141/kernelb28f75c4bb", "kernel_id": "3951151"}, {"ref": "ddw02141/bilstm-torch", "kernel_id": "3962917"}, {"ref": "rookiebox/quick-draw-cnn", "kernel_id": "3906641"}, {"ref": "rookiebox/fork-of-quick-draw-cnn-fail", "kernel_id": "3943928"}, {"ref": "cruddbdbdeep/summer-coding-assignment", "kernel_id": "3963744"}, {"ref": "foonia/pgmrs", "kernel_id": "3951418"}, {"ref": "tjghdia/quick-draw-assignment", "kernel_id": "3947743"}, {"ref": "seachan94/quick-draw", "kernel_id": "3956414"}, {"ref": "wordbe/wordbe", "kernel_id": "3919040"}, {"ref": "kris132004/my-first-notebook", "kernel_id": "3016885"}, {"ref": "hygkim95/hyungguk-kim-summer-programming", "kernel_id": "3961749"}, {"ref": "rohith129/my-first-notebook", "kernel_id": "3007000"}, {"ref": "jusung1/summer-coding-challenge-kernel", "kernel_id": "3953475"}, {"ref": "kauchoi/kernel422d55816f", "kernel_id": "3951533"}, {"ref": "sochi201/cnn-doodle", "kernel_id": "3958577"}, {"ref": "hobbang2/summercoding", "kernel_id": "3927233"}, {"ref": "cocopambag/kernelf18cf1fccd", "kernel_id": "3948799"}, {"ref": "won6314/resnet-with-pytorch", "kernel_id": "3962921"}, {"ref": "yjkwon/kernel540295b0bb", "kernel_id": "3949900"}, {"ref": "yjkwon/kernele95728d919", "kernel_id": "3952047"}, {"ref": "yjkwon/kernel6dde19a5ef", "kernel_id": "3947435"}, {"ref": "meloncha0205/greyscale-mobilenet", "kernel_id": "3953162"}, {"ref": "zaslee/sagan-on-quick-draw", "kernel_id": "4250775"}, {"ref": "monthepp/quick-draw-doodle-recognition-challenge-shufflecsv", "kernel_id": "4124942"}, {"ref": "zhy000/mlp-dyadic-signatures-quickdraw", "kernel_id": "4919218"}, {"ref": "laymanbrother/quickdrawpretrained", "kernel_id": "5811659"}, {"ref": "sjg02122/proj-quick-draw", "kernel_id": "6471328"}, {"ref": "monthepp/quick-draw-doodle-recognition-challenge-mobilenet", "kernel_id": "6928443"}, {"ref": "yunjinpark/image-based-cnn", "kernel_id": "6443153"}, {"ref": "adldotori/advanced-image-classification", "kernel_id": "6451799"}, {"ref": "kkongee/usings-bidirection-quick-draw", "kernel_id": "6476715"}, {"ref": "woooks/quick-draw-classification-by-densenet", "kernel_id": "6488037"}, {"ref": "brightj529/bright-jun-quick-draw", "kernel_id": "6478329"}, {"ref": "spurdy/test-kernel-output-files", "kernel_id": "6513351"}, {"ref": "spurdy/quickdraw-baseline-lstm-reading-and-submission", "kernel_id": "6488361"}, {"ref": "emphasis10/kernel7cbfa44817", "kernel_id": "6442960"}, {"ref": "marco0332/mobilenet-with-3-types-image-encoding", "kernel_id": "6475439"}, {"ref": "peacecheejecake/kernel546550ad6e", "kernel_id": "6442478"}, {"ref": "hw7439/kernel215ac7b54a", "kernel_id": "6465068"}, {"ref": "allenedgarpoe/easy-datapreprocessing", "kernel_id": "6488343"}, {"ref": "keunyoungjung/kynet-quickdraw", "kernel_id": "6467241"}, {"ref": "sawyerjo/sm-net-cnn-quick-draw", "kernel_id": "6425043"}, {"ref": "schseiryu/drawn-images-for-quick-draw", "kernel_id": "6511649"}, {"ref": "bohyunlee/programmers-ds", "kernel_id": "6477458"}, {"ref": "dowonna/tado-kynet", "kernel_id": "6605130"}, {"ref": "ee33hhee/kernel41c02d3b47", "kernel_id": "6488587"}, {"ref": "baderdammak/quick-draw-mobilnet", "kernel_id": "7369665"}, {"ref": "didexe/quick-draw-recognition-with-cnn", "kernel_id": "7963052"}, {"ref": "karamjitsingh/quick-draw-simple-eda", "kernel_id": "7869591"}, {"ref": "karimelezabawy/lets-play-with-quick-draw", "kernel_id": "7195920"}, {"ref": "myrrec/kernel26a2a8a129", "kernel_id": "8325665"}, {"ref": "oradar/doodlenet-to-the-extreme", "kernel_id": "9547368"}, {"ref": "ttagu99/prediction-single-model-2epoch", "kernel_id": "9142400"}, {"ref": "ttagu99/ensemble-models-2epoch", "kernel_id": "9182652"}, {"ref": "ttagu99/train-model", "kernel_id": "9283739"}, {"ref": "oradar/doodlenet-resnet50", "kernel_id": "10863700"}, {"ref": "oradar/doodlenet-mobilenet-128x128", "kernel_id": "10863794"}, {"ref": "olgabelitskaya/quick-draw-key-points-to-lines", "kernel_id": "10623997"}, {"ref": "olgabelitskaya/classification-of-sketches", "kernel_id": "10631644"}, {"ref": "olgabelitskaya/classification-of-sketches-2", "kernel_id": "10770497"}, {"ref": "olgabelitskaya/quick-draw-key-points-to-lines-3", "kernel_id": "10759481"}, {"ref": "olgabelitskaya/quick-draw-key-points-to-lines-5", "kernel_id": "10828338"}, {"ref": "olgabelitskaya/quick-draw-key-points-to-lines-4", "kernel_id": "10797111"}, {"ref": "olgabelitskaya/quick-draw-key-points-to-lines-2", "kernel_id": "10723347"}, {"ref": "olgabelitskaya/quick-draw-key-points-to-lines-6", "kernel_id": "10855305"}, {"ref": "olgabelitskaya/quick-draw-key-points-to-lines-7", "kernel_id": "10867985"}, {"ref": "dniwrallets/quickdraw-baseline-lstm-reading-and-submission", "kernel_id": "10778697"}, {"ref": "vignesh1609/doodle", "kernel_id": "10184736"}, {"ref": "talohana/doodlenet-to-the-extreme-densenet121", "kernel_id": "10176440"}, {"ref": "talohana/doodlenet-to-the-extreme-mobilenet64x64", "kernel_id": "10851063"}, {"ref": "olgabelitskaya/quick-draw-doodle-recognition-opencv1", "kernel_id": "11129114"}, {"ref": "ahmedhassan322/notebooka45733687f", "kernel_id": "11837824"}, {"ref": "l0new0lf/61classes-efficientnet-transfer-learn-quickdrawn", "kernel_id": "12473143"}, {"ref": "l0new0lf/efficientnet-finetune-quickdraw", "kernel_id": "12410632"}, {"ref": "ahmedhassan322/notebooka555fbe049", "kernel_id": "12176782"}, {"ref": "guiher/doodle-sandbox-with-cnn-on-keras", "kernel_id": "13244709"}, {"ref": "mirnanasrallah/ai-final-project-notebook", "kernel_id": "14866727"}, {"ref": "nitish2525/greyscale-mobilenet", "kernel_id": "15996251"}, {"ref": "fanbyprinciple/pytorch-doodle-puddle", "kernel_id": "20859657"}, {"ref": "ghasikey/quick-draw-analysis-data", "kernel_id": "20617983"}, {"ref": "nvatuan/google-quick-draw-challenge", "kernel_id": "20921590"}, {"ref": "rubensss/google-quick-draw-challenge", "kernel_id": "26839387"}, {"ref": "asdkarma/quick-doodle", "kernel_id": "28420574"}, {"ref": "gaahan/diffusion", "kernel_id": "32944586"}, {"ref": "e79dm3/ama564-efficientnet", "kernel_id": "35904709"}, {"ref": "gagandwaz/quickdraw", "kernel_id": "36228666"}, {"ref": "fallenight/vit-kaggle", "kernel_id": "36011400"}, {"ref": "e79dm3/ama564-lstm", "kernel_id": "37316703"}, {"ref": "joshua971004zhang/quickdraw-baseline-lstm", "kernel_id": "37074106"}, {"ref": "georgelivingstone/quickdraw", "kernel_id": "42688548"}, {"ref": "yannicksteph/wgan-gp-gan-quickdraw-image-generation", "kernel_id": "43826198"}, {"ref": "supernovadkb/mobilenet-v1-128x128x3-image", "kernel_id": "45277689"}, {"ref": "danielpalmieri/cnn-buena", "kernel_id": "45017097"}, {"ref": "danielpalmieri/cnn-buena-con-imagegenerator", "kernel_id": "47351022"}, {"ref": "liranizak/bling-bling", "kernel_id": "50936100"}, {"ref": "czy111/gan-camel", "kernel_id": "52968420"}, {"ref": "zupapomidorowa/google-doodle-bee", "kernel_id": "52819887"}, {"ref": "mpwolke/doodling-to-spend-time", "kernel_id": "58540102"}, {"ref": "ashishjangra27/easier-doodle-dataset", "kernel_id": "63312596"}, {"ref": "tongtong66666/2024-10-31", "kernel_id": "69382486"}, {"ref": "liuliu12adsasd/greyscale-mobilenet-lb-0-892", "kernel_id": "69698167"}, {"ref": "mihir004/notebook025df69d42", "kernel_id": "80505791"}, {"ref": "hzxczxvxcv/easier-doodle-dataset", "kernel_id": "102460045"}, {"ref": "primavli/tr2dtrajectorycnn", "kernel_id": "104519419"}, {"ref": "meherakbar/genai-q3", "kernel_id": "113706256"}, {"ref": "tahirshahbaz/cyclegan-notebook", "kernel_id": "114955685"}, {"ref": "youssefnaggar/bender-cnn-classifier", "kernel_id": "118835819"}]}
{"competition_id": "10208", "kernels": []}
{"competition_id": "10211", "kernels": [{"ref": "dansbecker/classification", "kernel_id": "381973"}, {"ref": "dansbecker/how-models-work", "kernel_id": "400732"}, {"ref": "dansbecker/explore-your-data", "kernel_id": "400760"}, {"ref": "dansbecker/exercise-build-your-first-machine-learning-model", "kernel_id": "400771"}, {"ref": "dansbecker/your-first-machine-learning-model", "kernel_id": "400931"}, {"ref": "dansbecker/model-validation", "kernel_id": "401078"}, {"ref": "dansbecker/underfitting-and-overfitting", "kernel_id": "401110"}, {"ref": "dansbecker/random-forests", "kernel_id": "401123"}, {"ref": "dansbecker/exercise-explore-your-data", "kernel_id": "1258954"}, {"ref": "dansbecker/exercise-building-your-model", "kernel_id": "1259078"}, {"ref": "dansbecker/exercise-model-validation", "kernel_id": "1259097"}, {"ref": "dansbecker/exercise-underfitting-and-overfitting", "kernel_id": "1259126"}, {"ref": "dansbecker/exercise-random-forests", "kernel_id": "1259186"}, {"ref": "dansbecker/exercise-machine-learning-competitions", "kernel_id": "1259198"}, {"ref": "dansbecker/exercise-your-first-machine-learning-model", "kernel_id": "1404276"}, {"ref": "darbin/kaggle-learn-ml-exercise-9-underf-and-overf", "kernel_id": "1833931"}, {"ref": "dhusanth/exercise-explore-your-data", "kernel_id": "1711136"}, {"ref": "dhusanth/exercise-model-validation", "kernel_id": "1711784"}, {"ref": "dhusanth/exercise-underfitting-and-overfitting", "kernel_id": "1711968"}, {"ref": "ankitkuls/xgboost-with-one-hot-encoding", "kernel_id": "1973704"}, {"ref": "ankurtyagi/exercise-underfitting-and-overfitting", "kernel_id": "1616809"}, {"ref": "ankurtyagi/exercise-model-validation", "kernel_id": "1616669"}, {"ref": "ankurtyagi/exercise-random-forests", "kernel_id": "1616879"}, {"ref": "ankurtyagi/exercise-explore-your-data", "kernel_id": "1616267"}, {"ref": "ankurtyagi/exercise-your-first-machine-learning-model", "kernel_id": "1616465"}, {"ref": "shivamsizzling/exercise-your-first-machine-learning-model", "kernel_id": "1818035"}, {"ref": "shivamsizzling/exercise-explore-your-data", "kernel_id": "1761575"}, {"ref": "shivamsizzling/exercise-model-validation-bb3e3e", "kernel_id": "1826669"}, {"ref": "pusemuckel/exercise-machine-learning-competitions", "kernel_id": "1838753"}, {"ref": "user319274/exercise-machine-learning-competitions", "kernel_id": "1440576"}, {"ref": "rsscssr/exercise-random-forests", "kernel_id": "1527104"}, {"ref": "iamprakashom/exercise-explore-your-data", "kernel_id": "1530607"}, {"ref": "iamprakashom/your-first-machine-learning-model", "kernel_id": "1530892"}, {"ref": "iamprakashom/exercise-your-first-machine-learning-model", "kernel_id": "1530941"}, {"ref": "iamprakashom/model-validation-beginner", "kernel_id": "1531147"}, {"ref": "iamprakashom/exercise-model-validation", "kernel_id": "1531256"}, {"ref": "rishikeshkushwaha/exercise-explore-your-data", "kernel_id": "1485387"}, {"ref": "haneeshousha/exercise-explore-your-data", "kernel_id": "1921807"}, {"ref": "garryrh/exercise-explore-your-data", "kernel_id": "1754922"}, {"ref": "garryrh/exercise-your-first-machine-learning-model", "kernel_id": "1755091"}, {"ref": "garryrh/exercise-model-validation", "kernel_id": "1755460"}, {"ref": "garryrh/exercise-underfitting-and-overfitting", "kernel_id": "1757795"}, {"ref": "garryrh/exercise-random-forests", "kernel_id": "1757852"}, {"ref": "nvinayshetty/exercise-model-validation", "kernel_id": "1434635"}, {"ref": "nvinayshetty/exercise-your-first-machine-learning-model", "kernel_id": "1434517"}, {"ref": "nvinayshetty/exercise-explore-your-data-c126c7", "kernel_id": "1434381"}, {"ref": "nvinayshetty/exercise-underfitting-and-overfitting", "kernel_id": "1435470"}, {"ref": "nvinayshetty/exercise-random-forests", "kernel_id": "1435639"}, {"ref": "oferlitver/exercise-your-first-machine-learning-model", "kernel_id": "1647175"}, {"ref": "ruaram/exercise-explore-your-data", "kernel_id": "1956163"}, {"ref": "ruaram/exercise-your-first-machine-learning-model", "kernel_id": "1956390"}, {"ref": "airlinecos/exercise-machine-learning-competitions", "kernel_id": "1634607"}, {"ref": "pnvijay/exercise-machine-learning-competitions", "kernel_id": "1633922"}, {"ref": "pnvijay/exercise-explore-your-data", "kernel_id": "1632333"}, {"ref": "rajatagarwal25/exercise-machine-learning-competitions", "kernel_id": "1777029"}, {"ref": "karthickaravindan/exercise-your-first-machine-learning-model", "kernel_id": "1458948"}, {"ref": "karthickaravindan/exercise-random-forests", "kernel_id": "1464802"}, {"ref": "karthickaravindan/exercise-explore-your-data", "kernel_id": "1458585"}, {"ref": "viking714/exercise-underfitting-and-overfitting", "kernel_id": "1486694"}, {"ref": "viking714/exercise-random-forests", "kernel_id": "1486849"}, {"ref": "tylerx/machine-learning-competitions-housing-prices", "kernel_id": "1494663"}, {"ref": "dmitriytarasov/exercise-explore-your-data", "kernel_id": "1414251"}, {"ref": "dmitriytarasov/exercise-underfitting-and-overfitting", "kernel_id": "1442312"}, {"ref": "dmitriytarasov/exercise-random-forests", "kernel_id": "1447211"}, {"ref": "dmitriytarasov/exercise-machine-learning-competitions", "kernel_id": "1447251"}, {"ref": "gongheayng/exercise-machine-learning-competitions", "kernel_id": "1633867"}, {"ref": "stallians/exercise-model-validation", "kernel_id": "1635071"}, {"ref": "rishab29/exercise-model-validation-ad1318", "kernel_id": "1504666"}, {"ref": "rishab29/exercise-your-first-machine-learning-model", "kernel_id": "1504548"}, {"ref": "avsaditya/exercise-underfitting-and-overfitting", "kernel_id": "1577072"}, {"ref": "avsaditya/exercise-random-forests", "kernel_id": "1577269"}, {"ref": "avsaditya/exercise-machine-learning-competitions-4bfaec", "kernel_id": "1577389"}, {"ref": "imm2rik/exercise-your-first-machine-learning-model", "kernel_id": "1443493"}, {"ref": "imm2rik/exercise-explore-your-data", "kernel_id": "1431631"}, {"ref": "imm2rik/exercise-underfitting-and-overfitting", "kernel_id": "1886494"}, {"ref": "imm2rik/exercise-random-forests", "kernel_id": "1886645"}, {"ref": "imm2rik/exercise-machine-learning-competitions", "kernel_id": "1886361"}, {"ref": "imm2rik/exercise-model-validation", "kernel_id": "1886371"}, {"ref": "diegotrazzi/exercise-your-first-machine-learning-model", "kernel_id": "1983041"}, {"ref": "diegotrazzi/exercise-explore-your-data", "kernel_id": "1983738"}, {"ref": "diegotrazzi/exercise-model-validation", "kernel_id": "1989500"}, {"ref": "diegotrazzi/exercise-random-forests", "kernel_id": "1998729"}, {"ref": "diegotrazzi/exercise-underfitting-and-overfitting", "kernel_id": "1997472"}, {"ref": "dggraham/exercise-machine-learning-competitions", "kernel_id": "1737997"}, {"ref": "jatinderjit/explore-your-data", "kernel_id": "1722442"}, {"ref": "rogercomins/exercise-machine-learning-competitions", "kernel_id": "1935722"}, {"ref": "parulm/my-first-ml-competition-random-forest-only", "kernel_id": "1664926"}, {"ref": "nkarnev/exercise-machine-learning-competitions", "kernel_id": "1822028"}, {"ref": "vladimirn/exercise-machine-learning-competitions", "kernel_id": "1436959"}, {"ref": "c0conuts/house-prices-learning-xgb-kfold", "kernel_id": "1408636"}, {"ref": "msamido/exercise-model-validation", "kernel_id": "1689604"}, {"ref": "sridharnarasaiahgari/exercise-explore-your-data", "kernel_id": "1756802"}, {"ref": "avinashds06/exercise-random-forests", "kernel_id": "1624066"}, {"ref": "mihirchate95/exercise-underfitting-and-overfitting", "kernel_id": "1441065"}, {"ref": "mihirchate95/exercise-random-forests", "kernel_id": "1441584"}, {"ref": "mihirchate95/exercise-model-validation", "kernel_id": "1420292"}, {"ref": "mihirchate95/exercise-explore-your-data", "kernel_id": "1419996"}, {"ref": "mihirchate95/exercise-your-first-machine-learning-model", "kernel_id": "1420125"}, {"ref": "amandahutter12/exercise-underfitting-and-overfitting-8a66eb", "kernel_id": "1520979"}, {"ref": "amandahutter12/exercise-model-validation-3a473d", "kernel_id": "1510158"}, {"ref": "amandahutter12/exercise-random-forests-5913e9", "kernel_id": "1554747"}, {"ref": "dmayboroda/exercise-model-validation", "kernel_id": "1816098"}, {"ref": "dmayboroda/exercise-underfitting-and-overfitting", "kernel_id": "1824684"}, {"ref": "dmayboroda/exercise-explore-your-data", "kernel_id": "1807834"}, {"ref": "dmayboroda/exercise-your-first-machine-learning-model", "kernel_id": "1810759"}, {"ref": "dmayboroda/exercise-machine-learning-competitions", "kernel_id": "1829356"}, {"ref": "dmayboroda/exercise-random-forests", "kernel_id": "1829170"}, {"ref": "trivikramchalasani/random-forests-ml-10", "kernel_id": "1862391"}, {"ref": "trivikramchalasani/underfitting-and-overfitting-ml-8", "kernel_id": "1862177"}, {"ref": "trivikramchalasani/exercise-underfitting-and-overfitting-ml-9", "kernel_id": "1862255"}, {"ref": "trivikramchalasani/exercise-model-validation-ml-7", "kernel_id": "1862040"}, {"ref": "trivikramchalasani/exercise-your-first-machine-learning-model-ml-5", "kernel_id": "1861803"}, {"ref": "trivikramchalasani/model-validation-ml-6", "kernel_id": "1861882"}, {"ref": "trivikramchalasani/exercise-explore-your-data-ml-3", "kernel_id": "1861661"}, {"ref": "trivikramchalasani/your-first-machine-learning-model-ml-4", "kernel_id": "1861716"}, {"ref": "trivikramchalasani/how-models-work-ml-1", "kernel_id": "1861523"}, {"ref": "trivikramchalasani/explore-your-data-ml-2", "kernel_id": "1861530"}, {"ref": "trivikramchalasani/exercise-random-forests-ml-11", "kernel_id": "1862405"}, {"ref": "opawar600/house-prices-prediction", "kernel_id": "1563320"}, {"ref": "sanjeevpalla/exercise-underfitting-and-overfitting", "kernel_id": "1777553"}, {"ref": "sanjeevpalla/exercise-random-forests", "kernel_id": "1779126"}, {"ref": "sanjeevpalla/exercise-machine-learning-competitions", "kernel_id": "1779199"}, {"ref": "sanjeevpalla/exercise-model-validation", "kernel_id": "1765212"}, {"ref": "sanjeevpalla/exercise-your-first-machine-learning-model", "kernel_id": "1763090"}, {"ref": "milanharkhani/exercise-machine-learning-competitions", "kernel_id": "1500458"}, {"ref": "backtrack23/exercise-underfitting-and-overfitting-a0d614", "kernel_id": "1434521"}, {"ref": "backtrack23/exercise-underfitting-and-overfitting", "kernel_id": "1434474"}, {"ref": "kergamm/exercise-random-forests", "kernel_id": "1513303"}, {"ref": "jdutta1993/exercise-explore-your-data-ed2482", "kernel_id": "1451770"}, {"ref": "jdutta1993/exercise-random-forests-da2aee", "kernel_id": "1458161"}, {"ref": "jdutta1993/exercise-underfitting-and-overfitting", "kernel_id": "1457664"}, {"ref": "jdutta1993/exercise-model-validation", "kernel_id": "1456017"}, {"ref": "jdutta1993/exercise-your-first-machine-learning-model", "kernel_id": "1455564"}, {"ref": "geek80/exercise-machine-learning-competitions", "kernel_id": "1581187"}, {"ref": "yuqibio/exercise-explore-your-data", "kernel_id": "1636820"}, {"ref": "yuqibio/exercise-underfitting-and-overfitting", "kernel_id": "1648882"}, {"ref": "yuqibio/exercise-your-first-machine-learning-model-6c974c", "kernel_id": "1648726"}, {"ref": "yuqibio/exercise-random-forests", "kernel_id": "1654674"}, {"ref": "wangdamowang/exercise-machine-learning-competitions-e410fe", "kernel_id": "1473117"}, {"ref": "pgajdaczova/exercise-machine-learning-competitions", "kernel_id": "1422457"}, {"ref": "fallsit/ml-1-2-first-machine-learning-model", "kernel_id": "1661709"}, {"ref": "fallsit/ml-1-3-model-validation", "kernel_id": "1670179"}, {"ref": "fallsit/ml-1-1-explore-your-data", "kernel_id": "1635285"}, {"ref": "fallsit/ml-1-4-underfitting-and-overfitting", "kernel_id": "1679924"}, {"ref": "anticsishere/exercise-explore-your-data", "kernel_id": "1677749"}, {"ref": "anticsishere/exercise-model-validation-557db3", "kernel_id": "1687667"}, {"ref": "fish417913/exercise-model-validation-4f6bd1", "kernel_id": "1444940"}, {"ref": "fish417913/exercise-underfitting-and-overfitting", "kernel_id": "1445037"}, {"ref": "fish417913/exercise-random-forests", "kernel_id": "1445211"}, {"ref": "fish417913/exercise-your-first-machine-learning-model", "kernel_id": "1439365"}, {"ref": "mgahd321/exercise-model-validation", "kernel_id": "1531821"}, {"ref": "chandan1996kushwaha/exercise-machine-learning-competitions", "kernel_id": "1822046"}, {"ref": "mennafateen/exercise-underfitting-and-overfitting", "kernel_id": "1939414"}, {"ref": "mennafateen/exercise-random-forests", "kernel_id": "1939479"}, {"ref": "mennafateen/exercise-your-first-machine-learning-model", "kernel_id": "1939108"}, {"ref": "mennafateen/exercise-model-validation", "kernel_id": "1939389"}, {"ref": "mennafateen/exercise-explore-your-data", "kernel_id": "1938927"}, {"ref": "grimaldo/exercise-explore-your-data", "kernel_id": "1426392"}, {"ref": "grimaldo/exercise-your-first-machine-learning-model", "kernel_id": "1437552"}, {"ref": "rakesh6184/exercise-explore-your-data", "kernel_id": "1421078"}, {"ref": "rakesh6184/exercise-your-first-machine-learning-model", "kernel_id": "1421081"}, {"ref": "rakesh6184/exercise-model-validation", "kernel_id": "1421082"}, {"ref": "rakesh6184/exercise-underfitting-and-overfitting", "kernel_id": "1421084"}, {"ref": "rakesh6184/exercise-random-forests", "kernel_id": "1421085"}, {"ref": "rakesh6184/exercise-machine-learning-competitions", "kernel_id": "1421086"}, {"ref": "rakesh6184/exercise-your-first-machine-learning-model-7d2782", "kernel_id": "1421494"}, {"ref": "rakesh6184/exercise-machine-learning-competitions-775a81", "kernel_id": "1421602"}, {"ref": "arpitjain007/exercise-machine-learning-competitions", "kernel_id": "1591135"}, {"ref": "michaelmuttiah/house-price-competition", "kernel_id": "1697711"}, {"ref": "sanjeevgaut/exercise-machine-learning-competitions", "kernel_id": "1449933"}, {"ref": "sanjeevgaut/exercise-random-forests-8a5780", "kernel_id": "1449855"}, {"ref": "sanjeevgaut/exercise-underfitting-and-overfitting-d35d4c", "kernel_id": "1449724"}, {"ref": "sanjeevgaut/exercise-model-validation-f4502b", "kernel_id": "1442810"}, {"ref": "sanjeevgaut/exercise-explore-your-data", "kernel_id": "1415550"}, {"ref": "ankitjaadoo/exercise-underfitting-and-overfitting", "kernel_id": "1435501"}, {"ref": "ankitjaadoo/underfitting-and-overfitting-0f6d54", "kernel_id": "1435503"}, {"ref": "ankitjaadoo/random-forests", "kernel_id": "1435535"}, {"ref": "ankitjaadoo/exercise-random-forests", "kernel_id": "1435540"}, {"ref": "ankitjaadoo/underfitting-and-overfitting", "kernel_id": "1435448"}, {"ref": "ankitjaadoo/model-validation", "kernel_id": "1435381"}, {"ref": "ankitjaadoo/exercise-model-validation", "kernel_id": "1435386"}, {"ref": "yash9946/exercise-machine-learning-competitions", "kernel_id": "1709542"}, {"ref": "pitoulambert/exercise-random-forests", "kernel_id": "1519037"}, {"ref": "kyozen/exercise-model-validation", "kernel_id": "1719629"}, {"ref": "kyozen/explore-your-data-bd3552", "kernel_id": "1716801"}, {"ref": "kyozen/exercise-your-first-machine-learning-model", "kernel_id": "1717081"}, {"ref": "kyozen/exercise-explore-your-data-a9c374", "kernel_id": "1715879"}, {"ref": "samdesai/exercise-machine-learning-competitions", "kernel_id": "1837994"}, {"ref": "craigyang/exercise-model-validation", "kernel_id": "1619918"}, {"ref": "jaybpatel2611/exercise-explore-your-data", "kernel_id": "1579897"}, {"ref": "sabirshaikh/exercise-model-validation", "kernel_id": "1872786"}, {"ref": "sabirshaikh/exercise-underfitting-and-overfitting", "kernel_id": "1872973"}, {"ref": "sabirshaikh/exercise-random-forests-24d86a", "kernel_id": "1880599"}, {"ref": "sabirshaikh/exercise-machine-learning-competitions", "kernel_id": "1880610"}, {"ref": "sabirshaikh/exercise-random-forests", "kernel_id": "1880531"}, {"ref": "sabirshaikh/exercise-explore-your-data", "kernel_id": "1861471"}, {"ref": "abhisek6977/exercise-model-validation", "kernel_id": "1526638"}, {"ref": "abhisek6977/exercise-explore-your-data", "kernel_id": "1951270"}, {"ref": "abhisek6977/exercise-your-first-machine-learning-model", "kernel_id": "1953280"}, {"ref": "abhisek6977/exercise-random-forests", "kernel_id": "1973676"}, {"ref": "abhisek6977/exercise-underfitting-and-overfitting", "kernel_id": "1973462"}, {"ref": "vishalnadagiri/exercise-random-forests", "kernel_id": "1678806"}, {"ref": "vishalnadagiri/exercise-random-forests-2ca4bc", "kernel_id": "1678815"}, {"ref": "pavanshanbhag/exercise-machine-learning-competitions-7e0eef", "kernel_id": "1561791"}, {"ref": "dryuki/exercise-machine-learning-competitions", "kernel_id": "1662050"}, {"ref": "elhc2929/exercise-underfitting-and-overfitting", "kernel_id": "1456104"}, {"ref": "beccah/exercise-explore-your-data", "kernel_id": "1616670"}, {"ref": "alexrv11/exercise-explore-your-data", "kernel_id": "1479584"}, {"ref": "ezzeldinahmed/exercise-underfitting-and-overfitting-1defcd", "kernel_id": "1654354"}, {"ref": "ezzeldinahmed/fork-of-exercise-explore-your-data", "kernel_id": "1653449"}, {"ref": "ezzeldinahmed/exercise-your-first-machine-learning-model", "kernel_id": "1653828"}, {"ref": "ezzeldinahmed/exercise-model-validation", "kernel_id": "1654049"}, {"ref": "ezzeldinahmed/exercise-random-forests", "kernel_id": "1659757"}, {"ref": "ezzeldinahmed/exercise-machine-learning-competitions", "kernel_id": "1659807"}, {"ref": "ekikagg/exercise-machine-learning-competitions", "kernel_id": "1715221"}, {"ref": "aniagarwal97/exercise-explore-your-data-593dba", "kernel_id": "1584252"}, {"ref": "mihiraman/housing-pricing", "kernel_id": "1913763"}, {"ref": "minalk11/exercise-model-validation", "kernel_id": "1496525"}, {"ref": "minalk11/exercise-explore-your-data", "kernel_id": "1489424"}, {"ref": "minalk11/exercise-underfitting-and-overfitting-aa3ad3", "kernel_id": "1509104"}, {"ref": "minalk11/exercise-random-forests", "kernel_id": "1509807"}, {"ref": "nurbeks/xgboost-testing", "kernel_id": "1605958"}, {"ref": "mandar2589/exercise-machine-learning-competitions", "kernel_id": "1496717"}, {"ref": "adrian1acoran/how-models-work", "kernel_id": "1927305"}, {"ref": "amuchand47/exercise-explore-your-data", "kernel_id": "1602507"}, {"ref": "linweicheng666/exercise-machine-learning-competitions", "kernel_id": "1522397"}, {"ref": "skusuru/exercise-random-forests", "kernel_id": "1934608"}, {"ref": "skusuru/underfitting-and-overfitting", "kernel_id": "1930968"}, {"ref": "mrshih/exercise-model-validation", "kernel_id": "1586246"}, {"ref": "mrshih/exercise-your-first-machine-learning-model", "kernel_id": "1585832"}, {"ref": "mrshih/exercise-explore-your-data-answered-visualized", "kernel_id": "1578938"}, {"ref": "mrshih/here-s-a-house-salad-it-s-on-the-house", "kernel_id": "1579581"}, {"ref": "mrshih/exercise-underfitting-and-overfitting", "kernel_id": "1592490"}, {"ref": "mrshih/exercise-random-forests-aa03e6", "kernel_id": "1592511"}, {"ref": "surbhi97/exercise-explore-your-data", "kernel_id": "1942370"}, {"ref": "alvaroroy/exercise-machine-learning-competitions", "kernel_id": "1981024"}, {"ref": "phongptn93/exercise-model-validation", "kernel_id": "1905869"}, {"ref": "janjali/fork-of-exercise-your-first-machine-learning-mode", "kernel_id": "1779182"}, {"ref": "raviraju/using-xgboost-raviraju", "kernel_id": "1596548"}, {"ref": "panditdandgule/exercise-model-validation", "kernel_id": "1815108"}, {"ref": "tooluloope/exercise-your-first-machine-learning-model-c2e983", "kernel_id": "1566006"}, {"ref": "beamers/exercise-explore-your-data", "kernel_id": "1872610"}, {"ref": "suroor89/exercise-your-first-machine-learning-model", "kernel_id": "1834068"}, {"ref": "wangdsh/exercise-random-forests", "kernel_id": "1620512"}, {"ref": "wangdsh/random-forests", "kernel_id": "1620373"}, {"ref": "wangdsh/exercise-model-validation", "kernel_id": "1607241"}, {"ref": "wangdsh/exercise-underfitting-and-overfitting", "kernel_id": "1607602"}, {"ref": "wangdsh/underfitting-and-overfitting", "kernel_id": "1607503"}, {"ref": "wangdsh/model-validation", "kernel_id": "1607130"}, {"ref": "wangdsh/exercise-your-first-machine-learning-model", "kernel_id": "1600510"}, {"ref": "wangdsh/exercise-explore-your-data", "kernel_id": "1600130"}, {"ref": "wangdsh/how-models-work", "kernel_id": "1600018"}, {"ref": "wangdsh/explore-your-data", "kernel_id": "1600068"}, {"ref": "wangdsh/your-first-machine-learning-model", "kernel_id": "1600288"}, {"ref": "diogomenezesborges/exercise-explore-your-data", "kernel_id": "1582875"}, {"ref": "diogomenezesborges/exercise-your-first-machine-learning-model", "kernel_id": "1583480"}, {"ref": "mariust/ml-1-explore-your-data-by-mt", "kernel_id": "1738228"}, {"ref": "mariust/ml-2-your-first-machine-learning-model-by-mt", "kernel_id": "1914108"}, {"ref": "mariust/ml-4-underfitting-and-overfitting-by-mt", "kernel_id": "1936852"}, {"ref": "mariust/ml-3-model-validation-by-mt", "kernel_id": "1928958"}, {"ref": "mariust/ml-6-machine-learning-competitions-by-mt", "kernel_id": "1995688"}, {"ref": "mariust/ml-5-random-forests-by-mt", "kernel_id": "1995569"}, {"ref": "xinruchen/exercise-machine-learning-competitions", "kernel_id": "1803867"}, {"ref": "sawarn69/exercise-underfitting-and-overfitting", "kernel_id": "1541342"}, {"ref": "sawarn69/random-forests-0160d5", "kernel_id": "1547575"}, {"ref": "girisjakkam/exercise-your-first-machine-learning-model", "kernel_id": "1757499"}, {"ref": "swapnavarier/exercise-machine-learning-competitions", "kernel_id": "1829733"}, {"ref": "aravindtls/explore-your-data", "kernel_id": "1537680"}, {"ref": "aravindtls/exercise-explore-your-data", "kernel_id": "1537723"}, {"ref": "michaelgutman/exercise-explore-your-data", "kernel_id": "1462287"}, {"ref": "michaelgutman/exercise-machine-learning-competitions-a6b133", "kernel_id": "1463922"}, {"ref": "pragyachik/exercise-underfitting-and-overfitting", "kernel_id": "1909507"}, {"ref": "pragyachik/exercise-random-forests", "kernel_id": "1912968"}, {"ref": "pragyachik/exercise-machine-learning-competitions", "kernel_id": "1912995"}, {"ref": "pragyachik/exercise-model-validation", "kernel_id": "1907837"}, {"ref": "pragyachik/exercise-explore-your-data", "kernel_id": "1861600"}, {"ref": "ahmedelsaied3210/exercise-your-first-machine-learning-model", "kernel_id": "1471041"}, {"ref": "coolkidgvs/exercise-random-forests", "kernel_id": "1913609"}, {"ref": "kliu2018/exercise-machine-learning-competitions", "kernel_id": "1624700"}, {"ref": "angana10/exercise-explore-your-data", "kernel_id": "1434148"}, {"ref": "notanewbiecoder/exercise-underfitting-and-overfitting-d95870", "kernel_id": "1594740"}, {"ref": "notanewbiecoder/exercise-underfitting-and-overfitting-7e2e22", "kernel_id": "1594770"}, {"ref": "notanewbiecoder/exercise-random-forests", "kernel_id": "1594819"}, {"ref": "notanewbiecoder/exercise-underfitting-and-overfitting-3ac52e", "kernel_id": "1594820"}, {"ref": "notanewbiecoder/exercise-your-first-machine-learning-model", "kernel_id": "1590026"}, {"ref": "notanewbiecoder/exercise-model-validation-714f60", "kernel_id": "1590523"}, {"ref": "notanewbiecoder/exercise-explore-your-data", "kernel_id": "1589599"}, {"ref": "ushanemani/exercise-machine-learning-competitions", "kernel_id": "1610945"}, {"ref": "ushanemani/exercise-model-validation-bd5dd3", "kernel_id": "1610171"}, {"ref": "ushanemani/exercise-underfitting-and-overfitting", "kernel_id": "1610341"}, {"ref": "ushanemani/exercise-random-forests", "kernel_id": "1610407"}, {"ref": "nikhilkambojjmit/exercise-your-first-machine-learning-model", "kernel_id": "1480114"}, {"ref": "nikhilkambojjmit/exercise-your-first-machine-learning-model-944e84", "kernel_id": "1480138"}, {"ref": "thevinaymittal/exercise-machine-learning-competitions", "kernel_id": "1987204"}, {"ref": "zenniwang/exercise-machine-learning-competitions-5c4069", "kernel_id": "1409786"}, {"ref": "ankitbasu/exercise-explore-your-data", "kernel_id": "1881853"}, {"ref": "ankitbasu/exercise-model-validation", "kernel_id": "1891730"}, {"ref": "ankitbasu/exercise-your-first-machine-learning-model", "kernel_id": "1891431"}, {"ref": "ankitbasu/exercise-machine-learning-competitions", "kernel_id": "1895827"}, {"ref": "ankitbasu/exercise-random-forests", "kernel_id": "1895757"}, {"ref": "ankitbasu/exercise-underfitting-and-overfitting", "kernel_id": "1895632"}, {"ref": "l2enel/exercise-underfitting-and-overfitting", "kernel_id": "1583695"}, {"ref": "l2enel/exercise-random-forests", "kernel_id": "1583866"}, {"ref": "l2enel/exercise-model-validation", "kernel_id": "1578893"}, {"ref": "l2enel/exercise-your-first-machine-learning-model", "kernel_id": "1578747"}, {"ref": "l2enel/exercise-machine-learning-competitions", "kernel_id": "1597616"}, {"ref": "l2enel/exercise-explore-your-data", "kernel_id": "1549150"}, {"ref": "spscientist/exercise-random-forests", "kernel_id": "1662648"}, {"ref": "spscientist/exercise-machine-learning-competitions", "kernel_id": "1662662"}, {"ref": "spscientist/exercise-your-first-machine-learning-model", "kernel_id": "1648734"}, {"ref": "spscientist/exercise-explore-your-data", "kernel_id": "1648243"}, {"ref": "spscientist/underfitting-and-overfitting", "kernel_id": "1655627"}, {"ref": "spscientist/exercise-underfitting-and-overfitting", "kernel_id": "1655630"}, {"ref": "spscientist/exercise-model-validation", "kernel_id": "1653267"}, {"ref": "pengfeilu/exercise-explore-your-data", "kernel_id": "1420376"}, {"ref": "gazal123/exercise-explore-your-data", "kernel_id": "1415809"}, {"ref": "bhoochaal/exercise-explore-your-data-b0d48a", "kernel_id": "1666830"}, {"ref": "anandiype/exercise-machine-learning-competitions", "kernel_id": "1453478"}, {"ref": "malayb/exercise-machine-learning-competitions-dc4894", "kernel_id": "1457183"}, {"ref": "mattkann/exercise-your-first-machine-learning-model", "kernel_id": "1988905"}, {"ref": "hreeya/exercise-your-first-machine-learning-model-b90fe2", "kernel_id": "1562965"}, {"ref": "hreeya/exercise-explore-your-data", "kernel_id": "1559397"}, {"ref": "hreeya/exercise-underfitting-and-overfitting", "kernel_id": "1567633"}, {"ref": "hreeya/exercise-model-validation", "kernel_id": "1567376"}, {"ref": "hreeya/exercise-machine-learning-competitions", "kernel_id": "1568808"}, {"ref": "hreeya/house-price-prediction-kernel-pipeline", "kernel_id": "1568900"}, {"ref": "hreeya/house-price-prediction-kernel-with-xgboost", "kernel_id": "1611052"}, {"ref": "hreeya/fork-of-house-price-prediction-kernel", "kernel_id": "1607443"}, {"ref": "madhavan93/exercise-explore-your-data", "kernel_id": "1551654"}, {"ref": "devniall/exercise-your-first-machine-learning-model", "kernel_id": "1410197"}, {"ref": "aniruddhamundhada/exercise-explore-your-data", "kernel_id": "1474141"}, {"ref": "solomonegash/exercise-underfitting-and-overfitting", "kernel_id": "1447806"}, {"ref": "solomonegash/exercise-model-validation", "kernel_id": "1443591"}, {"ref": "solomonegash/exercise-random-forests", "kernel_id": "1455951"}, {"ref": "jassykellogg/exercise-random-forests", "kernel_id": "1422538"}, {"ref": "calldebanjan0/titanic-machine-learning-problem", "kernel_id": "1502131"}, {"ref": "ganeshcool130y/exercise-random-forests", "kernel_id": "1696158"}, {"ref": "yogeshthecaptain/exercise-explore-your-data", "kernel_id": "1418651"}, {"ref": "yogeshthecaptain/exercise-random-forests", "kernel_id": "1426180"}, {"ref": "yogeshthecaptain/exercise-model-validation", "kernel_id": "1424837"}, {"ref": "yogeshthecaptain/exercise-your-first-machine-learning-model", "kernel_id": "1424620"}, {"ref": "yogeshthecaptain/exercise-underfitting-and-overfitting", "kernel_id": "1425148"}, {"ref": "kaduvivek8/exercise-your-first-machine-learning-model", "kernel_id": "1441669"}, {"ref": "bharath533/exercise-random-forests", "kernel_id": "1458564"}, {"ref": "bharath533/exercise-model-validation", "kernel_id": "1447824"}, {"ref": "bharath533/exercise-your-first-machine-learning-model", "kernel_id": "1447582"}, {"ref": "developersubham/exercise-explore-your-data", "kernel_id": "1812160"}, {"ref": "ialimustufa/ml-basics", "kernel_id": "1511484"}, {"ref": "durgaprasadgouda/exercise-model-validation", "kernel_id": "1450453"}, {"ref": "vrushabhh/exercise-explore-your-data", "kernel_id": "1455321"}, {"ref": "masoudsadri/exercise-machine-learning-competitions", "kernel_id": "1606665"}, {"ref": "cheng1115/exercise-your-first-machine-learning-model", "kernel_id": "1975560"}, {"ref": "cheng1115/exercise-explore-your-data", "kernel_id": "1975469"}, {"ref": "cheng1115/exercise-underfitting-and-overfitting", "kernel_id": "1999946"}, {"ref": "cheng1115/exercise-model-validation", "kernel_id": "1999816"}, {"ref": "jongwony/exercise-machine-learning-competitions-6e2ad3", "kernel_id": "1519304"}, {"ref": "sandyguh04/exercise-machine-learning-competitions", "kernel_id": "1498685"}, {"ref": "danrusei/housing-prices-competition-xgboost", "kernel_id": "1552492"}, {"ref": "danrusei/house-price-learning-feateng", "kernel_id": "1551037"}, {"ref": "hientd/exercise-random-forests", "kernel_id": "1504000"}, {"ref": "hientd/exercise-underfitting-and-overfitting", "kernel_id": "1503947"}, {"ref": "hientd/exercise-machine-learning-competitions", "kernel_id": "1503952"}, {"ref": "hientd/exercise-model-validation", "kernel_id": "1503843"}, {"ref": "hientd/exercise-your-first-machine-learning-model", "kernel_id": "1503716"}, {"ref": "hientd/exercise-explore-your-data", "kernel_id": "1484717"}, {"ref": "houge008/explore-your-data", "kernel_id": "1698503"}, {"ref": "houge008/exercise-explore-your-data", "kernel_id": "1698644"}, {"ref": "houge008/your-first-machine-learning-model", "kernel_id": "1702329"}, {"ref": "houge008/how-models-work", "kernel_id": "1689671"}, {"ref": "houge008/underfitting-and-overfitting-1f2364", "kernel_id": "1791915"}, {"ref": "houge008/exercise-your-first-machine-learning-model", "kernel_id": "1764396"}, {"ref": "houge008/exercise-machine-learning-competitions", "kernel_id": "1802229"}, {"ref": "houge008/random-forests", "kernel_id": "1800621"}, {"ref": "datalass1/rek-ml-exercise-explore-your-data-v1-0", "kernel_id": "1620305"}, {"ref": "datalass1/rek-ml-your-first-machine-learning-model-v1-0", "kernel_id": "1862574"}, {"ref": "icurve/exercise-explore-your-data", "kernel_id": "1854364"}, {"ref": "icurve/exercise-your-first-machine-learning-model", "kernel_id": "1854709"}, {"ref": "siramkalyan/exercise-model-validation", "kernel_id": "1724391"}, {"ref": "yasu26/exercise-random-forests", "kernel_id": "1569250"}, {"ref": "yasu26/exercise-machine-learning-competitions", "kernel_id": "1569350"}, {"ref": "yasu26/exercise-underfitting-and-overfitting-be480f", "kernel_id": "1528499"}, {"ref": "carlosa8/exercise-model-validation-6ae5ad", "kernel_id": "1834013"}, {"ref": "carlosa8/exercise-your-first-machine-learning-model", "kernel_id": "1824720"}, {"ref": "manvalls/exercise-random-forests", "kernel_id": "1537618"}, {"ref": "manvalls/exercise-underfitting-and-overfitting", "kernel_id": "1537503"}, {"ref": "manvalls/exercise-machine-learning-competitions", "kernel_id": "1537797"}, {"ref": "manvalls/exercise-model-validation-abc1db", "kernel_id": "1537004"}, {"ref": "manvalls/exercise-explore-your-data", "kernel_id": "1531957"}, {"ref": "manvalls/exercise-your-first-machine-learning-model", "kernel_id": "1532270"}, {"ref": "crilancelo/exercise-model-validation", "kernel_id": "1542145"}, {"ref": "shoebhowlader/exercise-model-validation-ecc6d4", "kernel_id": "1958493"}, {"ref": "shoebhowlader/exercise-your-first-machine-learning-model", "kernel_id": "1953525"}, {"ref": "shoebhowlader/exercise-explore-your-data", "kernel_id": "1953351"}, {"ref": "ereynoso/exercise-your-first-machine-learning-model", "kernel_id": "1578661"}, {"ref": "ashokprajapati999/exercise-model-validation", "kernel_id": "1652179"}, {"ref": "ashokprajapati999/exercise-underfitting-and-overfitting", "kernel_id": "1652746"}, {"ref": "ashokprajapati999/exercise-random-forests", "kernel_id": "1655719"}, {"ref": "ashokprajapati999/exercise-your-first-machine-learning-model", "kernel_id": "1643629"}, {"ref": "ashokprajapati999/exercise-machine-learning-competitions-84bfff", "kernel_id": "1703847"}, {"ref": "hridaybaghar/housing-price-predictions-imputer-rf-xgboost", "kernel_id": "1729036"}, {"ref": "sherryxue/exercise-explore-your-data", "kernel_id": "1815085"}, {"ref": "yashnahta/exercise-your-first-machine-learning-model-07e986", "kernel_id": "1554025"}, {"ref": "haightdj/house-price-prediction-top-10-xgboost", "kernel_id": "1655864"}, {"ref": "anushabmd/exercise-explore-your-data-21c504", "kernel_id": "1855941"}, {"ref": "anushabmd/exercise-underfitting-and-overfitting", "kernel_id": "1857707"}, {"ref": "anushabmd/exercise-random-forests", "kernel_id": "1858057"}, {"ref": "anushabmd/exercise-model-validation", "kernel_id": "1857165"}, {"ref": "anushabmd/exercise-your-first-machine-learning-model", "kernel_id": "1856990"}, {"ref": "venkatakrishna1234/exercise-machine-learning-competitions", "kernel_id": "1587683"}, {"ref": "duyminh1998/housing-prices", "kernel_id": "1664755"}, {"ref": "honzabb/exercise-machine-learning-competitions", "kernel_id": "1762464"}, {"ref": "ramjan135/exercise-random-forests", "kernel_id": "1843514"}, {"ref": "ramjan135/exercise-underfitting-and-overfitting-dd1704", "kernel_id": "1842907"}, {"ref": "ramjan135/exercise-your-first-machine-learning-model-94451b", "kernel_id": "1835484"}, {"ref": "ramjan135/model-validation-7d0d5f", "kernel_id": "1835956"}, {"ref": "nirmalchief/exercise-machine-learning-competitions", "kernel_id": "1617580"}, {"ref": "walterjiang/exercise-machine-learning-competitions-377a79", "kernel_id": "1783865"}, {"ref": "hojustin/exercise-underfitting-and-overfitting", "kernel_id": "1708890"}, {"ref": "rnsantosa/exercise-explore-your-data", "kernel_id": "1614762"}, {"ref": "rnsantosa/exercise-model-validation-c52621", "kernel_id": "1615193"}, {"ref": "adedigbadeola/exercise-your-first-machine-learning-model-dd33b1", "kernel_id": "1678713"}, {"ref": "tdikonda/exercise-your-first-machine-learning-model", "kernel_id": "1990232"}, {"ref": "tdikonda/exercise-explore-your-data", "kernel_id": "1989918"}, {"ref": "tdikonda/exercise-model-validation", "kernel_id": "1996504"}, {"ref": "tdikonda/exercise-underfitting-and-overfitting", "kernel_id": "1996667"}, {"ref": "tdikonda/exercise-random-forests", "kernel_id": "1997058"}, {"ref": "vitoss/exercise-explore-your-data", "kernel_id": "1626932"}, {"ref": "vitoss/exercise-model-validation", "kernel_id": "1628097"}, {"ref": "vitoss/exercise-your-first-machine-learning-model", "kernel_id": "1628007"}, {"ref": "vitoss/exercise-random-forests", "kernel_id": "1634104"}, {"ref": "vitoss/exercise-machine-learning-competitions", "kernel_id": "1634105"}, {"ref": "vitoss/exercise-underfitting-and-overfitting", "kernel_id": "1634011"}, {"ref": "pranay27/exercise-your-first-machine-learning-model", "kernel_id": "1981162"}, {"ref": "thomasalf/exercise-model-validation", "kernel_id": "1679473"}, {"ref": "thomasalf/exercise-explore-your-data", "kernel_id": "1677108"}, {"ref": "thomasalf/exercise-your-first-machine-learning-model", "kernel_id": "1677331"}, {"ref": "chhavi1028/exercise-your-first-machine-learning-model", "kernel_id": "1628366"}, {"ref": "aekalex/exercise-machine-learning-competitions-axastos", "kernel_id": "1696596"}, {"ref": "michaelbeutler/exercise-your-first-machine-learning-model", "kernel_id": "1641421"}, {"ref": "alqamahjsr/exercise-model-validation", "kernel_id": "1791714"}, {"ref": "alqamahjsr/exercise-random-forests", "kernel_id": "1794591"}, {"ref": "alqamahjsr/exercise-underfitting-and-overfitting-fdadcc", "kernel_id": "1794471"}, {"ref": "alqamahjsr/exercise-underfitting-and-overfitting", "kernel_id": "1791960"}, {"ref": "alqamahjsr/exercise-explore-your-data", "kernel_id": "1764964"}, {"ref": "alqamahjsr/exercise-your-first-machine-learning-model", "kernel_id": "1765103"}, {"ref": "and0704/exercise-explore-your-data", "kernel_id": "1679399"}, {"ref": "and0704/exercise-random-forests", "kernel_id": "1706916"}, {"ref": "and0704/exercise-your-first-machine-learning-model", "kernel_id": "1704558"}, {"ref": "and0704/exercise-model-validation", "kernel_id": "1705906"}, {"ref": "and0704/exercise-underfitting-and-overfitting", "kernel_id": "1706441"}, {"ref": "yobbo88/exercise-machine-learning-competitions", "kernel_id": "1710070"}, {"ref": "psinha20/exercise-machine-learning-competitions", "kernel_id": "1773407"}, {"ref": "playwell/exercise-model-validation", "kernel_id": "1725041"}, {"ref": "clementine35/exercise-explore-your-data-9998fe", "kernel_id": "1718115"}, {"ref": "plsms21/03-exercise-explore-your-data", "kernel_id": "1777956"}, {"ref": "plsms21/05-exercise-your-first-machine-learning-model", "kernel_id": "1777621"}, {"ref": "plsms21/04-your-first-machine-learning-model", "kernel_id": "1796096"}, {"ref": "plsms21/06-model-validation", "kernel_id": "1796182"}, {"ref": "plsms21/07-exercise-model-validation", "kernel_id": "1796772"}, {"ref": "plsms21/01-how-models-work", "kernel_id": "1795455"}, {"ref": "plsms21/02-explore-your-data", "kernel_id": "1795477"}, {"ref": "plsms21/12-exercise-machine-learning-competitions", "kernel_id": "1797953"}, {"ref": "plsms21/11-exercise-random-forests", "kernel_id": "1797823"}, {"ref": "plsms21/10-random-forests", "kernel_id": "1797579"}, {"ref": "plsms21/09-exercise-underfitting-and-overfitting", "kernel_id": "1797385"}, {"ref": "plsms21/08-underfitting-and-overfitting", "kernel_id": "1797039"}, {"ref": "aquelle/exercise-machine-learning-competitions", "kernel_id": "1749501"}, {"ref": "dks1987/exercise-your-first-machine-learning-model-373228", "kernel_id": "1882600"}, {"ref": "dks1987/exercise-explore-your-data", "kernel_id": "1881650"}, {"ref": "dks1987/exercise-underfitting-and-overfitting", "kernel_id": "1982704"}, {"ref": "dks1987/exercise-random-forests", "kernel_id": "1982817"}, {"ref": "dks1987/exercise-model-validation", "kernel_id": "1982560"}, {"ref": "ninotreve/iowa-house-price-prediction", "kernel_id": "1812140"}, {"ref": "mikaso/exercise-your-first-machine-learning-model", "kernel_id": "1742069"}, {"ref": "mikaso/exercise-explore-your-data", "kernel_id": "1741900"}, {"ref": "mikaso/exercise-random-forests", "kernel_id": "1754193"}, {"ref": "mikaso/exercise-model-validation-16e1ea", "kernel_id": "1752280"}, {"ref": "nadirameidina/exercise-model-validation-64aa6c", "kernel_id": "1767632"}, {"ref": "nadirameidina/exercise-explore-your-data", "kernel_id": "1767190"}, {"ref": "nadirameidina/exercise-your-first-machine-learning-model", "kernel_id": "1767197"}, {"ref": "nadirameidina/exercise-underfitting-and-overfitting", "kernel_id": "1767211"}, {"ref": "maufirf/exercise-underfitting-and-overfitting", "kernel_id": "1813361"}, {"ref": "namannbhatt/exercise-your-first-machine-learning-model", "kernel_id": "1757446"}, {"ref": "riyag2805/exercise-your-first-machine-learning-model-35dd2c", "kernel_id": "1787327"}, {"ref": "riyag2805/exercise-underfitting-and-overfitting", "kernel_id": "1789788"}, {"ref": "intanpermatask/exercise-random-forests", "kernel_id": "1803139"}, {"ref": "intanpermatask/exercise-your-first-machine-learning-model", "kernel_id": "1802761"}, {"ref": "intanpermatask/exercise-model-validation", "kernel_id": "1802886"}, {"ref": "intanpermatask/exercise-underfitting-and-overfitting", "kernel_id": "1803066"}, {"ref": "intanpermatask/exercise-explore-your-data", "kernel_id": "1802685"}, {"ref": "vrppaul/exercise-machine-learning-competitions", "kernel_id": "1826126"}, {"ref": "suraj2109/exercise-your-first-machine-learning-model", "kernel_id": "1970672"}, {"ref": "sudeepkumarsaha/exercise-random-forests", "kernel_id": "1827131"}, {"ref": "liammelaugh/exercise-underfitting-and-overfitting", "kernel_id": "1869020"}, {"ref": "liammelaugh/exercise-random-forests", "kernel_id": "1869095"}, {"ref": "liammelaugh/exercise-model-validation-274367", "kernel_id": "1865907"}, {"ref": "liammelaugh/exercise-explore-your-data", "kernel_id": "1858712"}, {"ref": "liammelaugh/exercise-your-first-machine-learning-model", "kernel_id": "1858853"}, {"ref": "cogitator/exercise-explore-your-data", "kernel_id": "1906851"}, {"ref": "navya3112/exercise-machine-learning-competitions", "kernel_id": "1892274"}, {"ref": "bishnuch/exercise-explore-your-data", "kernel_id": "1856270"}, {"ref": "meraj786/exercise-your-first-machine-learning-model", "kernel_id": "1875365"}, {"ref": "didimilikina/exercise-model-validation", "kernel_id": "1995382"}, {"ref": "didimilikina/exercise-your-first-machine-learning-model", "kernel_id": "1995270"}, {"ref": "didimilikina/exercise-explore-your-data", "kernel_id": "1995162"}, {"ref": "didimilikina/exercise-underfitting-and-overfitting", "kernel_id": "1995825"}, {"ref": "kapileshkothavale/home-pricing-fitting-and-decisiontreeregressor", "kernel_id": "1921319"}, {"ref": "kapileshkothavale/home-pricing-model-validation", "kernel_id": "1921454"}, {"ref": "kapileshkothavale/home-pricing-under-overfitting-error", "kernel_id": "1921640"}, {"ref": "kapileshkothavale/home-pricing-random-forest", "kernel_id": "1921772"}, {"ref": "umerjamal/exercise-your-first-machine-learning-model-46aaa3", "kernel_id": "1943191"}, {"ref": "umerjamal/exercise-explore-your-data", "kernel_id": "1940146"}, {"ref": "umerjamal/machine-learning-competitions-2f8dff", "kernel_id": "1952598"}, {"ref": "umerjamal/underfitting-and-overfitting", "kernel_id": "1950813"}, {"ref": "roberthkaggle/exercise-underfitting-and-overfitting", "kernel_id": "1943046"}, {"ref": "roberthkaggle/exercise-random-forests", "kernel_id": "1956297"}, {"ref": "abhsishek/exercise-explore-your-data", "kernel_id": "1956221"}, {"ref": "thuttm1/exercise-machine-learning-competitions", "kernel_id": "1976850"}, {"ref": "dansbecker/basic-data-exploration", "kernel_id": "2604737"}, {"ref": "dansbecker/exercise-basic-data-exploration", "kernel_id": "2604739"}, {"ref": "dansbecker/your-first-machine-learning-model-daily", "kernel_id": "2247227"}, {"ref": "jfgobin/exercise-machine-learning-competitions", "kernel_id": "2251243"}, {"ref": "ankitkuls/xgboost-with-hyperparam-tuning", "kernel_id": "2069802"}, {"ref": "shubhamaggarwal1/exercise-machine-learning-competitions", "kernel_id": "2618519"}, {"ref": "cansu325945/exercise-explore-your-data", "kernel_id": "2553120"}, {"ref": "ibacaraujo/exercise-underfitting-and-overfitting", "kernel_id": "2998750"}, {"ref": "ibacaraujo/exercise-random-forests", "kernel_id": "2998833"}, {"ref": "osamaaref/exercise-explore-your-data", "kernel_id": "2129001"}, {"ref": "naveenkumar1/exercise-machine-learning-competitions", "kernel_id": "2523981"}, {"ref": "naveenkumar1/exercise-your-first-machine-learning-model", "kernel_id": "2521205"}, {"ref": "rice010101/fork-of-exercise-machine-learning-competitions", "kernel_id": "2136537"}, {"ref": "tmadhukar/exercise-machine-learning-competitions", "kernel_id": "2521239"}, {"ref": "iorideepp/your-first-machine-learning-model", "kernel_id": "2491481"}, {"ref": "iorideepp/exercise-your-first-machine-learning-model", "kernel_id": "2491567"}, {"ref": "iorideepp/exercise-explore-your-data", "kernel_id": "2490470"}, {"ref": "iorideepp/exercise-underfitting-and-overfitting", "kernel_id": "2499695"}, {"ref": "iorideepp/random-forests", "kernel_id": "2499721"}, {"ref": "iorideepp/exercise-random-forests", "kernel_id": "2499777"}, {"ref": "iorideepp/exercise-model-validation", "kernel_id": "2498731"}, {"ref": "iorideepp/underfitting-and-overfitting", "kernel_id": "2498793"}, {"ref": "iorideepp/exercise-machine-learning-competitions", "kernel_id": "2506814"}, {"ref": "shadabhussain/exercise-random-forests", "kernel_id": "2071323"}, {"ref": "shadabhussain/exercise-underfitting-and-overfitting", "kernel_id": "2071162"}, {"ref": "shadabhussain/exercise-model-validation", "kernel_id": "2071064"}, {"ref": "shadabhussain/exercise-explore-your-data", "kernel_id": "2070605"}, {"ref": "shekharrajak/exercise-explore-your-data-b36248", "kernel_id": "2269222"}, {"ref": "abisheksrivastav/exercise-machine-learning-competitions", "kernel_id": "2490322"}, {"ref": "priya2601/exercise-machine-learning-competitions", "kernel_id": "2892005"}, {"ref": "sandipanpatra/exercise-model-validation", "kernel_id": "2490496"}, {"ref": "dhavalsimaria/exercise-model-validation", "kernel_id": "2369470"}, {"ref": "dhavalsimaria/exercise-underfitting-and-overfitting", "kernel_id": "2381663"}, {"ref": "dhavalsimaria/exercise-random-forests", "kernel_id": "2388721"}, {"ref": "dhavalsimaria/exercise-explore-your-data", "kernel_id": "2348719"}, {"ref": "piakash96/exercise-explore-your-data", "kernel_id": "2303359"}, {"ref": "moskhithsandeep/exercise-your-first-machine-learning-model", "kernel_id": "2028302"}, {"ref": "diegotrazzi/exercise-machine-learning-competitions", "kernel_id": "2019204"}, {"ref": "diegotrazzi/template-random-forest", "kernel_id": "2019215"}, {"ref": "cecilmalone/exercise-explore-your-data", "kernel_id": "2436193"}, {"ref": "hikmatyar/house-prices-ml-pipeline", "kernel_id": "2849158"}, {"ref": "andrrvt15/exercise-machine-learning-competitions", "kernel_id": "2453004"}, {"ref": "niekunlin/exercise-your-first-machine-learning-model", "kernel_id": "2557051"}, {"ref": "niekunlin/how-models-work", "kernel_id": "2277829"}, {"ref": "niekunlin/explore-your-data", "kernel_id": "2288232"}, {"ref": "niekunlin/your-first-machine-learning-model", "kernel_id": "2328079"}, {"ref": "niekunlin/exercise-explore-your-data", "kernel_id": "2300865"}, {"ref": "shivammittal99/exercise-your-first-machine-learning-model", "kernel_id": "2162730"}, {"ref": "shivammittal99/exercise-explore-your-data", "kernel_id": "2162273"}, {"ref": "shivammittal99/exercise-model-validation", "kernel_id": "2165551"}, {"ref": "shivammittal99/exercise-underfitting-and-overfitting", "kernel_id": "2166053"}, {"ref": "shivammittal99/exercise-random-forests", "kernel_id": "2166251"}, {"ref": "shivammittal99/exercise-machine-learning-competitions", "kernel_id": "2166303"}, {"ref": "prayog/exercise-machine-learning-competitions", "kernel_id": "2233928"}, {"ref": "callsaurabh/exercise-machine-learning-competitions-7e7894", "kernel_id": "2700776"}, {"ref": "callsaurabh/fork-of-exercise-machine-learning-competitions-7e", "kernel_id": "2700956"}, {"ref": "simpleparadox/exercise-machine-learning-competitions", "kernel_id": "2861928"}, {"ref": "sqwqzz/exercise-machine-learning-competitions-3a2d54", "kernel_id": "2615345"}, {"ref": "sandyyim/exercise-machine-learning-competitions", "kernel_id": "2564030"}, {"ref": "fallsit/ml-1-5-random-forests", "kernel_id": "2567053"}, {"ref": "fallsit/ml-1-6-machine-learning-competitions", "kernel_id": "2567144"}, {"ref": "shubhrakarmahe/exercise-explore-your-data", "kernel_id": "2427049"}, {"ref": "shubhrakarmahe/exercise-your-first-machine-learning-model", "kernel_id": "2427334"}, {"ref": "maj1989/exercise-machine-learning-competitions", "kernel_id": "2100428"}, {"ref": "chenyiyi/exercise-underfitting-and-overfitting", "kernel_id": "2224807"}, {"ref": "chenyiyi/exercise-machine-learning-competitions", "kernel_id": "2230604"}, {"ref": "chenyiyi/exercise-model-validation", "kernel_id": "2220630"}, {"ref": "chenyiyi/model-validation-b18dd3", "kernel_id": "2222225"}, {"ref": "chenyiyi/exercise-your-first-machine-learning-model", "kernel_id": "2212557"}, {"ref": "mktoho/how-models-work", "kernel_id": "2131465"}, {"ref": "mktoho/explore-your-data", "kernel_id": "2131779"}, {"ref": "mktoho/exercise-explore-your-data", "kernel_id": "2138791"}, {"ref": "mktoho/your-first-machine-learning-model", "kernel_id": "2139586"}, {"ref": "mktoho/exercise-your-first-machine", "kernel_id": "2142656"}, {"ref": "mktoho/model-validation", "kernel_id": "2142792"}, {"ref": "asnim19/exercise-machine-learning-competitions", "kernel_id": "2973279"}, {"ref": "akashravichandran/ml3-model-validation", "kernel_id": "2432422"}, {"ref": "akashravichandran/ml4-underfitting-and-overfitting", "kernel_id": "2432729"}, {"ref": "akashravichandran/ml2-your-first-machine-learning-model", "kernel_id": "2432287"}, {"ref": "akashravichandran/ml5-random-forests", "kernel_id": "2432854"}, {"ref": "akashravichandran/ml1-explore-your-data", "kernel_id": "2425508"}, {"ref": "lookageek/exercise-machine-learning-competitions", "kernel_id": "2877835"}, {"ref": "vuown88/exercise-model-validation", "kernel_id": "2993388"}, {"ref": "jhancock1975/exercise-random-forests", "kernel_id": "2410278"}, {"ref": "jhancock1975/exercise-machine-learning-competitions", "kernel_id": "2410306"}, {"ref": "jhancock1975/exercise-underfitting-and-overfitting", "kernel_id": "2410178"}, {"ref": "jhancock1975/exercise-explore-your-data", "kernel_id": "2409860"}, {"ref": "jhancock1975/exercise-your-first-machine-learning-model", "kernel_id": "2409963"}, {"ref": "jhancock1975/exercise-model-validation", "kernel_id": "2410129"}, {"ref": "haidarwarsi/exercise-random-forests-9b0ba5", "kernel_id": "2609010"}, {"ref": "jaychitransh007/exercise-underfitting-and-overfitting-d83a97", "kernel_id": "2026608"}, {"ref": "jaychitransh007/random-forests", "kernel_id": "2026933"}, {"ref": "jaychitransh007/your-first-machine-learning-model", "kernel_id": "2025233"}, {"ref": "jaychitransh007/underfitting-and-overfitting", "kernel_id": "2025492"}, {"ref": "jaychitransh007/how-models-work-cb336f", "kernel_id": "2025108"}, {"ref": "amitjoshi9627/exercise-your-first-machine-learning-model", "kernel_id": "2127803"}, {"ref": "jyothics/exercise-explore-your-data", "kernel_id": "2376055"}, {"ref": "jyothics/exercise-your-first-machine-learning-model", "kernel_id": "2376352"}, {"ref": "jyothics/exercise-model-validation", "kernel_id": "2400460"}, {"ref": "abhishekringsia/exercise-machine-learning-competitions", "kernel_id": "2246380"}, {"ref": "abhishekringsia/exercise-random-forests", "kernel_id": "2245564"}, {"ref": "pelingundogdu/ml-exercise2-your-first-machine-learning-model", "kernel_id": "2206479"}, {"ref": "pelingundogdu/exercise-explore-your-data", "kernel_id": "2206207"}, {"ref": "pelingundogdu/ml-exercise4-underfitting-and-overfitting", "kernel_id": "2224657"}, {"ref": "pelingundogdu/ml-exercise5-random-forests", "kernel_id": "2226400"}, {"ref": "pelingundogdu/exercise-machine-learning-competitions", "kernel_id": "2226585"}, {"ref": "pelingundogdu/ml-exercise3-model-validation", "kernel_id": "2216222"}, {"ref": "jaanu989/exercise-random-forests", "kernel_id": "2027888"}, {"ref": "jaanu989/exercise-underfitting-and-overfitting", "kernel_id": "2023737"}, {"ref": "jaanu989/exercise-your-first-machine-learning-model", "kernel_id": "2015543"}, {"ref": "jaanu989/exercise-model-validation", "kernel_id": "2015705"}, {"ref": "afanis/your-first-machine-learning-model", "kernel_id": "2283510"}, {"ref": "afanis/how-models-work-ecb5e3", "kernel_id": "2283224"}, {"ref": "afanis/explore-your-data", "kernel_id": "2283303"}, {"ref": "afanis/exercise-explore-your-data", "kernel_id": "2283369"}, {"ref": "kaunajbanerjee/exercise-machine-learning-competitions", "kernel_id": "2959412"}, {"ref": "chittiprolu/exercise-explore-your-data", "kernel_id": "2660562"}, {"ref": "chrisihetti/fork-of-exercise-machine-learning-competitions", "kernel_id": "2076032"}, {"ref": "lintraildukes/exercise-machine-learning-competitions", "kernel_id": "2970529"}, {"ref": "sxuanjing/exercise-random-forests", "kernel_id": "2098550"}, {"ref": "sxuanjing/exercise-underfitting-and-overfitting", "kernel_id": "2093205"}, {"ref": "sxuanjing/exercise-model-validation", "kernel_id": "2092936"}, {"ref": "sxuanjing/exercise-explore-your-data", "kernel_id": "2061416"}, {"ref": "sxuanjing/exercise-your-first-machine-learning-model", "kernel_id": "2061747"}, {"ref": "bhavyady/exercise-underfitting-and-overfitting", "kernel_id": "2334243"}, {"ref": "sagarmainkar/sagar-regression", "kernel_id": "2080233"}, {"ref": "sagarmainkar/sagar", "kernel_id": "2107639"}, {"ref": "ilumbre/model-validation-final", "kernel_id": "2246785"}, {"ref": "ilumbre/model-validation-9624f5", "kernel_id": "2244159"}, {"ref": "saahil007/exercise-machine-learning-competitions", "kernel_id": "2429811"}, {"ref": "csabathamo86/gridsearchcv-hyperparameter-tuning-riddle", "kernel_id": "2058706"}, {"ref": "amat2401/exercise-your-first-machine-learning-model", "kernel_id": "2287158"}, {"ref": "gangwareshita/housing-price", "kernel_id": "2689762"}, {"ref": "gangwareshita/machine-learning-1", "kernel_id": "2692207"}, {"ref": "mukul09/housing-price-prediction", "kernel_id": "2731815"}, {"ref": "doaamoh22/exercise-your-first-machine-learning-model", "kernel_id": "2609583"}, {"ref": "doaamoh22/exercise-model-validation", "kernel_id": "2609856"}, {"ref": "doaamoh22/exercise-random-forests", "kernel_id": "2611942"}, {"ref": "doaamoh22/exercise-machine-learning-competitions", "kernel_id": "2611974"}, {"ref": "doaamoh22/exercise-underfitting-and-overfitting", "kernel_id": "2611667"}, {"ref": "itsujjwal/exercise-random-forests", "kernel_id": "2210868"}, {"ref": "itsujjwal/exercise-underfitting-and-overfitting", "kernel_id": "2210720"}, {"ref": "itsujjwal/exercise-explore-your-data", "kernel_id": "2186032"}, {"ref": "sankhadeep2007/exercise-underfitting-and-overfitting", "kernel_id": "2335154"}, {"ref": "sankhadeep2007/exercise-machine-learning-competitions", "kernel_id": "2369376"}, {"ref": "aeaswar81/exercise-model-validation", "kernel_id": "2393300"}, {"ref": "aeaswar81/exercise-explore-your-data", "kernel_id": "2392954"}, {"ref": "yeinlee/exercise-your-first-machine-learning-model", "kernel_id": "2563037"}, {"ref": "yeinlee/exercise-random-forests", "kernel_id": "2563870"}, {"ref": "yeinlee/exercise-model-validation", "kernel_id": "2563258"}, {"ref": "showerylobster/exercise-your-first-machine-learning-model", "kernel_id": "2636377"}, {"ref": "showerylobster/exercise-model-validation", "kernel_id": "2638414"}, {"ref": "showerylobster/exercise-explore-your-data", "kernel_id": "2636059"}, {"ref": "showerylobster/exercise-underfitting-and-overfitting", "kernel_id": "2638623"}, {"ref": "showerylobster/exercise-random-forests", "kernel_id": "2638719"}, {"ref": "alvaroroy/fork-of-exercise-machine-learning-competitions", "kernel_id": "2038751"}, {"ref": "alvaroroy/house-prices-improvement-2", "kernel_id": "2096015"}, {"ref": "pion139/exercise-explore-your-data", "kernel_id": "2279600"}, {"ref": "xzt12345/random-forests-0ef205", "kernel_id": "2987360"}, {"ref": "abushaik5612/exercise-your-first-machine-learning-model", "kernel_id": "2059985"}, {"ref": "gbieul/okay-let-s-try-to-predict-some-house-prices", "kernel_id": "2482847"}, {"ref": "anik2503/exercise-underfitting-and-overfitting", "kernel_id": "2100725"}, {"ref": "virresh/exercise-explore-your-data", "kernel_id": "2324187"}, {"ref": "yimingcaiquantum/exercise-machine-learning-competitions", "kernel_id": "2129723"}, {"ref": "olegkochetkov/h2o-automl-top-1-solution", "kernel_id": "2551902"}, {"ref": "vipulkanojia/exercise-machine-learning-competitions", "kernel_id": "2628897"}, {"ref": "gassasins/exercise-underfitting-and-overfitting", "kernel_id": "2168861"}, {"ref": "anu1212/exercise-your-first-machine-learning-model", "kernel_id": "2880173"}, {"ref": "shshankar1/kernelcf15b4c683", "kernel_id": "2618253"}, {"ref": "shshankar1/exercise-model-validation-5e1568", "kernel_id": "2618261"}, {"ref": "demehinibk/exercise-machine-learning-competitions", "kernel_id": "2234905"}, {"ref": "ashok111/exercise-your-first-machine-learning-model", "kernel_id": "2120432"}, {"ref": "hinatasaien/exercise-machine-learning-competitions", "kernel_id": "2858958"}, {"ref": "wouterlefever/exercise-random-forests", "kernel_id": "2030809"}, {"ref": "wouterlefever/exercise-underfitting-and-overfitting", "kernel_id": "2030739"}, {"ref": "wouterlefever/exercise-model-validation", "kernel_id": "2030497"}, {"ref": "wouterlefever/exercise-your-first-machine-learning-model", "kernel_id": "2030353"}, {"ref": "wouterlefever/exercise-explore-your-data", "kernel_id": "2030252"}, {"ref": "wouterlefever/exercise-machine-learning-competitions", "kernel_id": "2043257"}, {"ref": "cheeti398/exercise-your-first-machine-learning-model", "kernel_id": "2610471"}, {"ref": "vitsuji/exercise-your-first-machine-learning-model", "kernel_id": "2803375"}, {"ref": "daping/house-prices-pro-cn", "kernel_id": "2981430"}, {"ref": "praveen0608/exercise-underfitting-and-overfitting", "kernel_id": "2986099"}, {"ref": "praveen0608/exercise-machine-learning-competitions", "kernel_id": "2986255"}, {"ref": "praveen0608/exercise-your-first-machine-learning-model", "kernel_id": "2985546"}, {"ref": "praveen0608/exercise-model-validation", "kernel_id": "2985949"}, {"ref": "ankurvineet/exercise-machine-learning-competitions", "kernel_id": "2344517"}, {"ref": "mokeam/exercise-underfitting-and-overfitting", "kernel_id": "2056779"}, {"ref": "mokeam/exercise-model-validation", "kernel_id": "2056694"}, {"ref": "mokeam/exercise-random-forests", "kernel_id": "2056830"}, {"ref": "wojtkep/exercise-your-first-machine-learning-model", "kernel_id": "2018106"}, {"ref": "pankajsoni12/exercise-your-first-machine-learning-model", "kernel_id": "2162900"}, {"ref": "thossakrai/exercise-your-first-machine-learning-model", "kernel_id": "2721926"}, {"ref": "talk2ranjanktr/machine-learning-competitions", "kernel_id": "2797736"}, {"ref": "ru81o454/exercise-underfitting-and-overfitting", "kernel_id": "2168389"}, {"ref": "ru81o454/exercise-model-validation", "kernel_id": "2147888"}, {"ref": "ru81o454/exercise-your-first-machine-learning-model-efb083", "kernel_id": "2091501"}, {"ref": "ru81o454/exercise-explore-your-data-1a2f89", "kernel_id": "2088159"}, {"ref": "ru81o454/exercise-explore-your-data", "kernel_id": "2087802"}, {"ref": "ru81o454/exercise-your-first-machine-learning-model", "kernel_id": "2088201"}, {"ref": "born2learn/exercise-model-validation", "kernel_id": "2517384"}, {"ref": "shadowcuckoo/exercise-explore-your-data", "kernel_id": "2044277"}, {"ref": "shadowcuckoo/exercise-model-validation", "kernel_id": "2065999"}, {"ref": "shadowcuckoo/exercise-your-first-machine-learning-model", "kernel_id": "2065805"}, {"ref": "shadowcuckoo/exercise-underfitting-and-overfitting", "kernel_id": "2079471"}, {"ref": "zorvyy/exercise-machine-learning-competitions", "kernel_id": "2942519"}, {"ref": "rihadv/exercise-underfitting-and-overfitting", "kernel_id": "2140941"}, {"ref": "rihadv/random-forests", "kernel_id": "2141193"}, {"ref": "rihadv/model-validation", "kernel_id": "2140519"}, {"ref": "rihadv/exercise-model-validation", "kernel_id": "2140629"}, {"ref": "rihadv/exercise-random-forests", "kernel_id": "2141244"}, {"ref": "rihadv/your-first-machine-learning-model", "kernel_id": "2136663"}, {"ref": "rihadv/explore-your-data", "kernel_id": "2136515"}, {"ref": "rihadv/exercise-explore-your-data", "kernel_id": "2136549"}, {"ref": "rihadv/underfitting-and-overfitting", "kernel_id": "2140872"}, {"ref": "venky73/exercise-machine-learning-competitions", "kernel_id": "2058602"}, {"ref": "meghraj9/exercise-machine-learning-competitions", "kernel_id": "2794607"}, {"ref": "shbaran/exercise-model-validation", "kernel_id": "2281675"}, {"ref": "shbaran/exercise-underfitting-and-overfitting", "kernel_id": "2280897"}, {"ref": "shbaran/exercise-explore-your-data-03809a", "kernel_id": "2279871"}, {"ref": "shbaran/exercise-random-forests", "kernel_id": "2282735"}, {"ref": "shbaran/exercise-explore-your-data", "kernel_id": "2271448"}, {"ref": "shbaran/exercise-your-first-machine-learning-model", "kernel_id": "2271794"}, {"ref": "datalass1/rek-ml-model-validationv1-0", "kernel_id": "2160615"}, {"ref": "datalass1/rek-ml-underfitting-overfitting-v1-0", "kernel_id": "2238493"}, {"ref": "datalass1/rek-ml-random-forests", "kernel_id": "2238735"}, {"ref": "ozlemv/exercise-machine-learning-competitions", "kernel_id": "2177691"}, {"ref": "alisherka/exercise-machine-learning-competitions", "kernel_id": "2579358"}, {"ref": "romankondratiev/exercise-machine-learning-competitions", "kernel_id": "2044352"}, {"ref": "romankondratiev/underfitting-and-overfitting", "kernel_id": "2043726"}, {"ref": "romankondratiev/exercise-underfitting-and-overfitting", "kernel_id": "2044129"}, {"ref": "romankondratiev/underfitting-and-overfitting-5d90af", "kernel_id": "2044130"}, {"ref": "romankondratiev/exercise-your-first-machine-learning-model", "kernel_id": "2043126"}, {"ref": "romankondratiev/your-first-machine-learning-model", "kernel_id": "2043058"}, {"ref": "romankondratiev/how-models-work", "kernel_id": "2042942"}, {"ref": "romankondratiev/explore-your-data", "kernel_id": "2042968"}, {"ref": "romankondratiev/exercise-explore-your-data", "kernel_id": "2042987"}, {"ref": "romankondratiev/exercise-model-validation", "kernel_id": "2043561"}, {"ref": "romankondratiev/model-validation", "kernel_id": "2043505"}, {"ref": "romankondratiev/exercise-random-forests", "kernel_id": "2093659"}, {"ref": "romankondratiev/random-forests", "kernel_id": "2093617"}, {"ref": "andorhofecker/exercise-machine-learning-competitions", "kernel_id": "2702969"}, {"ref": "mayukhtb/exercise-machine-learning-competitions", "kernel_id": "2210587"}, {"ref": "birubose1995/exercise-machine-learning-competitions", "kernel_id": "2651552"}, {"ref": "mvs1793/housing-prices-top-20-randomizedsearchcv", "kernel_id": "2783742"}, {"ref": "mvs1793/h-p-gridsearchcv-xgboost-top-15", "kernel_id": "2848713"}, {"ref": "alexandershevchenko/exercise-machine-learning-competitions", "kernel_id": "2063701"}, {"ref": "pallavigarg/exercise-your-first-machine-learning-model", "kernel_id": "2451588"}, {"ref": "massinha10/exercise-machine-learning-competitions", "kernel_id": "2703151"}, {"ref": "docongminh/exercise-explore-your-data", "kernel_id": "2160554"}, {"ref": "docongminh/exercise-random-forests", "kernel_id": "2141177"}, {"ref": "docongminh/fork-of-exercise-machine-learning-competitions-b7", "kernel_id": "2202479"}, {"ref": "cheesu/house-prices-1st-approach-to-data-science-process", "kernel_id": "2464106"}, {"ref": "shobitarawat/exercise-machine-learning-competitions", "kernel_id": "2489819"}, {"ref": "hilltothesouth/exercise-explore-your-data", "kernel_id": "2433004"}, {"ref": "hilltothesouth/exercise-your-first-machine-learning-model", "kernel_id": "2433203"}, {"ref": "hilltothesouth/exercise-underfitting-and-overfitting", "kernel_id": "2433816"}, {"ref": "hilltothesouth/exercise-model-validation", "kernel_id": "2433634"}, {"ref": "hilltothesouth/exercise-random-forests", "kernel_id": "2434845"}, {"ref": "hilltothesouth/exercise-machine-learning-competitions", "kernel_id": "2434917"}, {"ref": "pradcoder/exercise-machine-learning-competitions", "kernel_id": "2454229"}, {"ref": "ashuxyz/exercise-random-forests", "kernel_id": "2616284"}, {"ref": "ashuxyz/exercise-machine-learning-competitions", "kernel_id": "2616325"}, {"ref": "ashuxyz/exercise-your-first-machine-learning-model", "kernel_id": "2608935"}, {"ref": "ashuxyz/exercise-explore-your-data", "kernel_id": "2608564"}, {"ref": "padmapriyakannan07/exercise-model-validation", "kernel_id": "2242154"}, {"ref": "padmapriyakannan07/exercise-your-first-machine-learning-model-1fb12f", "kernel_id": "2241913"}, {"ref": "padmapriyakannan07/exercise-your-first-machine-learning-model", "kernel_id": "2241637"}, {"ref": "padmapriyakannan07/exercise-explore-your-data", "kernel_id": "2204376"}, {"ref": "fuclid/exercise-machine-learning-competitions", "kernel_id": "2925435"}, {"ref": "vvigneshiyer/exercise-your-first-machine-learning-model", "kernel_id": "2795364"}, {"ref": "dindyalm/house-competition", "kernel_id": "2343526"}, {"ref": "dindyalm/house-comp", "kernel_id": "2354130"}, {"ref": "biren162/exercise-underfitting-and-overfitting", "kernel_id": "2666083"}, {"ref": "neha024/exercise-explore-your-data", "kernel_id": "2487683"}, {"ref": "neha024/exercise-underfitting-and-overfitting", "kernel_id": "2520437"}, {"ref": "neha024/exercise-random-forests", "kernel_id": "2520823"}, {"ref": "neha024/exercise-model-validation", "kernel_id": "2509227"}, {"ref": "neha024/exercise-your-first-machine-learning-model", "kernel_id": "2508653"}, {"ref": "nilimajain/exercise-explore-your-data", "kernel_id": "2008685"}, {"ref": "rahulnathan/exercise-random-forests", "kernel_id": "2022924"}, {"ref": "rahulnathan/exercise-your-first-machine-learning-model", "kernel_id": "2021406"}, {"ref": "rahulnathan/exercise-explore-your-data", "kernel_id": "2021230"}, {"ref": "rmmonk/exercise-machine-learning-competitions", "kernel_id": "2636941"}, {"ref": "daniloedu/exercise-explore-your-data", "kernel_id": "2314461"}, {"ref": "szhosseini1988/exercise-explore-your-data", "kernel_id": "2561253"}, {"ref": "meraj786/exercise-underfitting-and-overfitting", "kernel_id": "2992316"}, {"ref": "meraj786/exercise-model-validation", "kernel_id": "2991909"}, {"ref": "meraj786/exercise-random-forests", "kernel_id": "2992521"}, {"ref": "meraj786/exercise-machine-learning-competitions", "kernel_id": "2993077"}, {"ref": "chegelawrence1/exercise-underfitting-and-overfitting", "kernel_id": "2181034"}, {"ref": "birduncle/exercise-machine-learning-competitions", "kernel_id": "2203163"}, {"ref": "vivekch0976/exercise-your-first-machine-learning-model", "kernel_id": "2849677"}, {"ref": "jenn2019/model-validation-final", "kernel_id": "2246378"}, {"ref": "juanlebk/exercise-your-first-machine-learning-model", "kernel_id": "2024393"}, {"ref": "juanlebk/exercise-model-validation", "kernel_id": "2024710"}, {"ref": "juanlebk/exercise-explore-your-data", "kernel_id": "2024124"}, {"ref": "juanlebk/exercise-underfitting-and-overfitting", "kernel_id": "2028341"}, {"ref": "juanlebk/exercise-random-forests", "kernel_id": "2029116"}, {"ref": "ashywolf/exercise-machine-learning-competitions", "kernel_id": "2289291"}, {"ref": "adelizer/exercise-your-first-machine-learning-model", "kernel_id": "2035712"}, {"ref": "stefanogizmo/fork-of-fork-of-exercise-machine-learning-competi", "kernel_id": "2518201"}, {"ref": "stefanogizmo/exercise-machine-learning-competitions-936f98", "kernel_id": "2517745"}, {"ref": "stefanogizmo/fork-of-exercise-machine-learning-competit-7096b3", "kernel_id": "2517834"}, {"ref": "stefanogizmo/fork-of-exercise-machine-learning-competit-f36337", "kernel_id": "2525172"}, {"ref": "stefanogizmo/fork-of-exercise-machine-learning-competit-fill", "kernel_id": "2525365"}, {"ref": "meritxellgm94/fork-of-exercise-machine-learning-competitions", "kernel_id": "2216555"}, {"ref": "lyw879319613/exercise-machine-learning-competitions", "kernel_id": "2139788"}, {"ref": "paritoshkr30/exercise-validationmodel", "kernel_id": "2971267"}, {"ref": "paritoshkr30/exercise-your-first-machine-learning-model", "kernel_id": "2955100"}, {"ref": "bboywillis/exercise-model-validation-8c422e", "kernel_id": "2072666"}, {"ref": "bboywillis/exercise-model-validation", "kernel_id": "2072365"}, {"ref": "bboywillis/exercise-your-first-machine-learning-model-2acadc", "kernel_id": "2072002"}, {"ref": "bboywillis/exercise-random-forests", "kernel_id": "2073267"}, {"ref": "bboywillis/exercise-machine-learning-competitions", "kernel_id": "2073309"}, {"ref": "bboywillis/exercise-underfitting-and-overfitting", "kernel_id": "2072898"}, {"ref": "pfw2108/exercise-machine-learning-competitions", "kernel_id": "2121250"}, {"ref": "juanmarcos/exercise-machine-learning-competitions", "kernel_id": "2504695"}, {"ref": "debasishsarangi88/exercise-your-first-machine-learning-model", "kernel_id": "2296480"}, {"ref": "balayan/exercise-machine-learning-competitions", "kernel_id": "2009342"}, {"ref": "medfarouk/exercise-explore-your-data", "kernel_id": "2233134"}, {"ref": "atchutaram14/assignment-atchutaram", "kernel_id": "2126103"}, {"ref": "betaschmitz/exercise-your-first-machine-learning-model", "kernel_id": "2848793"}, {"ref": "hzx1334320512/exercise-machine-learning-competitions", "kernel_id": "2466539"}, {"ref": "podkowa/exercise-machine-learning-competitions", "kernel_id": "2736111"}, {"ref": "nghianh7/exercise-machine-learning-competitions", "kernel_id": "2069109"}, {"ref": "kmail82617/exercise-model-validation-3b672a", "kernel_id": "2221230"}, {"ref": "nicolasvasquez/exercise-machine-learning-competitions", "kernel_id": "2057492"}, {"ref": "tjelailah/exercise-your-first-machine-learning-model", "kernel_id": "2161416"}, {"ref": "khouma/exercise-machine-learning-competitions", "kernel_id": "2096059"}, {"ref": "khouma/exercise-random-forests", "kernel_id": "2095936"}, {"ref": "johnnyfung0/exercise-machine-learning-competitions", "kernel_id": "2113227"}, {"ref": "pant0000/exercise-machine-learning-competitions", "kernel_id": "2152814"}, {"ref": "pavan229/exercise-explore-your-data", "kernel_id": "2355452"}, {"ref": "mohamedelsisy1750/mohamedelsisy", "kernel_id": "2438050"}, {"ref": "yeshwanth97/exercise-underfitting-and-overfitting-138c08", "kernel_id": "2999239"}, {"ref": "yeshwanth97/exercise-your-first-machine-learning-model", "kernel_id": "2945760"}, {"ref": "grt2707/exercise-your-first-machine-learning-model-ea7b76", "kernel_id": "2227764"}, {"ref": "spriyakhedekar/exercise-machine-learning-competitions", "kernel_id": "2770645"}, {"ref": "balaram3/exercise-explore-your-data-b36248", "kernel_id": "2270313"}, {"ref": "mariostsatsos/exercise-model-validation", "kernel_id": "2179960"}, {"ref": "dsivasankar/house-pricing-xgboost-one-hot-encode-imputation", "kernel_id": "2450355"}, {"ref": "amdoshi/exercise-explore-your-data", "kernel_id": "2237451"}, {"ref": "amdoshi/exercise-your-first-machine-learning-model", "kernel_id": "2244811"}, {"ref": "sathyazeeth/exercise-machine-learning-competitions", "kernel_id": "2202566"}, {"ref": "sathyazeeth/exercise-random-forests", "kernel_id": "2203972"}, {"ref": "sankethv/exercise-machine-learning-competitions", "kernel_id": "2505613"}, {"ref": "matthou/exercise-explore-your-data", "kernel_id": "2240717"}, {"ref": "fernandobcc/exercise-machine-learning-competitions", "kernel_id": "2675982"}, {"ref": "alvaro13/exercise-explore-your-data", "kernel_id": "2670704"}, {"ref": "mandelbrotzet/exercise-machine-learning-competitions-36c1d5", "kernel_id": "2454836"}, {"ref": "brightsunp/exercise-machine-learning-competitions", "kernel_id": "2276365"}, {"ref": "sheetalsawant/exercise-explore-your-data", "kernel_id": "2697894"}, {"ref": "sheetalsawant/exercise-your-first-machine-learning-model", "kernel_id": "2698060"}, {"ref": "sonali0103/exercise-explore-your-data", "kernel_id": "2437439"}, {"ref": "coolone/exercise-machine-learning-competitions-123", "kernel_id": "2426697"}, {"ref": "foxtreme/exercise-random-forests", "kernel_id": "2654596"}, {"ref": "foxtreme/exercise-underfitting-and-overfitting", "kernel_id": "2653800"}, {"ref": "foxtreme/exercise-model-validation", "kernel_id": "2653099"}, {"ref": "foxtreme/exercise-your-first-machine-learning-model", "kernel_id": "2651408"}, {"ref": "foxtreme/exercise-explore-your-data", "kernel_id": "2651013"}, {"ref": "maheshm77/housepricesbasic", "kernel_id": "2614845"}, {"ref": "hung20736/exercise-machine-learning-competitions", "kernel_id": "2752715"}, {"ref": "hung20736/exercise-explore-your-data-26aa14", "kernel_id": "2693251"}, {"ref": "hung20736/exercise-your-first-machine-learning-model", "kernel_id": "2698038"}, {"ref": "utsavgupta/exercise-explore-your-data", "kernel_id": "2685119"}, {"ref": "cttacm/exercise-your-first-machine-learning-model", "kernel_id": "2554640"}, {"ref": "cttacm/exercise-model-validation", "kernel_id": "2570634"}, {"ref": "cttacm/exercise-underfitting-and-overfitting", "kernel_id": "2571120"}, {"ref": "cttacm/exercise-random-forests", "kernel_id": "2571284"}, {"ref": "cttacm/exercise-machine-learning-competitions", "kernel_id": "2572689"}, {"ref": "cttacm/exercise-explore-your-data", "kernel_id": "2529749"}, {"ref": "satyaaditya/exercise-explore-your-data", "kernel_id": "2318376"}, {"ref": "dubores/exercise-explore-your-data", "kernel_id": "2319322"}, {"ref": "dubores/exercise-your-first-machine-learning-model", "kernel_id": "2319612"}, {"ref": "dubores/exercise-model-validation", "kernel_id": "2319953"}, {"ref": "dubores/exercise-underfitting-and-overfitting", "kernel_id": "2320079"}, {"ref": "dubores/exercise-random-forests", "kernel_id": "2320228"}, {"ref": "dubores/exercise-machine-learning-competitions", "kernel_id": "2320229"}, {"ref": "juanchobanano/home-sale-price-predictions-competition", "kernel_id": "2397924"}, {"ref": "aktomer155/exercise-random-forests", "kernel_id": "2371854"}, {"ref": "aktomer155/exercise-your-first-machine-learning-model", "kernel_id": "2371304"}, {"ref": "aktomer155/exercise-explore-your-data", "kernel_id": "2371010"}, {"ref": "aktomer155/exercise-machine-learning-competitions", "kernel_id": "2381778"}, {"ref": "gyige12/exercise-machine-learning-competitions", "kernel_id": "2455822"}, {"ref": "gyige12/exercise-your-first-machine-learning-model", "kernel_id": "2455611"}, {"ref": "gyige12/exercise-model-validation", "kernel_id": "2455718"}, {"ref": "gyige12/exercise-underfitting-and-overfitting", "kernel_id": "2455762"}, {"ref": "gyige12/exercise-explore-your-data", "kernel_id": "2455320"}, {"ref": "gyige12/exercise-random-forests", "kernel_id": "2344104"}, {"ref": "quino0627/exercise-your-first-machine-learning-model", "kernel_id": "2448757"}, {"ref": "quino0627/exercise-model-validation", "kernel_id": "2448797"}, {"ref": "quino0627/exercise-underfitting-and-overfitting", "kernel_id": "2448840"}, {"ref": "quino0627/exercise-random-forests-1b20d3", "kernel_id": "2448869"}, {"ref": "quino0627/exercise-explore-your-data", "kernel_id": "2448695"}, {"ref": "herrthoma/exercise-machine-learning-competitions", "kernel_id": "2450242"}, {"ref": "nguyenvanhung/exercise-machine-learning-competitions", "kernel_id": "2918107"}, {"ref": "jonghwashim/exercise-machine-learning-competitions", "kernel_id": "2371074"}, {"ref": "francescapaulin/exercise-random-forests", "kernel_id": "2497181"}, {"ref": "francescapaulin/exercise-underfitting-and-overfitting", "kernel_id": "2496943"}, {"ref": "francescapaulin/exercise-model-validation", "kernel_id": "2496767"}, {"ref": "bashturtle/fork-of-pipelining-xgboost", "kernel_id": "2956335"}, {"ref": "bashturtle/pipelining-xgboost", "kernel_id": "2946959"}, {"ref": "bashturtle/trying-the-categorical-encoding", "kernel_id": "2856416"}, {"ref": "bashturtle/iowa-prediction-data", "kernel_id": "2847545"}, {"ref": "bashturtle/partial-dependency-plots-for-the-iowa-dataset", "kernel_id": "2899994"}, {"ref": "bashturtle/trying-the-xgboost", "kernel_id": "2873707"}, {"ref": "itfollows/exercise-your-first-machine-learning-model", "kernel_id": "2443998"}, {"ref": "st4bros/exercise-your-first-machine-learning-model", "kernel_id": "2605098"}, {"ref": "st4bros/exercise-underfitting-and-overfitting", "kernel_id": "2651518"}, {"ref": "st4bros/exercise-random-forests", "kernel_id": "2651684"}, {"ref": "st4bros/exercise-model-validation-f40691", "kernel_id": "2649234"}, {"ref": "st4bros/exercise-random-forests-d85578", "kernel_id": "2660536"}, {"ref": "st4bros/exercise-machine-learning-competitions", "kernel_id": "2660689"}, {"ref": "sreejeet/exercise-machine-learning-competitions", "kernel_id": "2567994"}, {"ref": "sreejeet/exercise-random-forests-898466", "kernel_id": "2534294"}, {"ref": "sreejeet/exercise-underfitting-and-overfitting", "kernel_id": "2522491"}, {"ref": "sreejeet/exercise-random-forests", "kernel_id": "2532747"}, {"ref": "sreejeet/exercise-your-first-machine-learning-model", "kernel_id": "2504713"}, {"ref": "sreejeet/exercise-model-validation", "kernel_id": "2505279"}, {"ref": "sreejeet/exercise-explore-your-data", "kernel_id": "2489653"}, {"ref": "zhenhua1981/exercise-machine-learning-competitions", "kernel_id": "2530836"}, {"ref": "sohyunbang/exercise-machine-learning-competitions", "kernel_id": "2441481"}, {"ref": "emoticon/exercise-machine-learning-competitions", "kernel_id": "2440522"}, {"ref": "mallocuser/exercise-machine-learning-competitions-f070d5", "kernel_id": "2449851"}, {"ref": "ski02292/exercise-machine-learning-competitions", "kernel_id": "2450225"}, {"ref": "tinku216/exercise-random-forests", "kernel_id": "2481514"}, {"ref": "vnqmai/exercise-explore-your-data", "kernel_id": "2552536"}, {"ref": "vnqmai/exercise-your-first-machine-learning-model", "kernel_id": "2629455"}, {"ref": "vnqmai/exercise-model-validation-9f3c12", "kernel_id": "2629614"}, {"ref": "vnqmai/exercise-underfitting-and-overfitting", "kernel_id": "2629838"}, {"ref": "vnqmai/exercise-random-forests", "kernel_id": "2630092"}, {"ref": "rentonhume/exercise-machine-learning-competitions", "kernel_id": "2597796"}, {"ref": "jcllobet/exercise-machine-learning-competitions", "kernel_id": "2862851"}, {"ref": "jcllobet/exercise-your-first-machine-learning-model", "kernel_id": "2860244"}, {"ref": "gabouko/exercise-explore-your-data", "kernel_id": "2571699"}, {"ref": "gabouko/exercise-your-first-machine-learning-model", "kernel_id": "2571748"}, {"ref": "myhy48/exercise-your-first-machine-learning-model", "kernel_id": "2575225"}, {"ref": "senthilkcs/exercise-machine-learning-competitions", "kernel_id": "2728934"}, {"ref": "zmdzdf/exercise-your-first-machine-learning-model-3d1c54", "kernel_id": "2648410"}, {"ref": "lkapitana/exercise-your-first-machine-learning-model", "kernel_id": "2874798"}, {"ref": "nindyahapsari/exercise-machine-learning-competitions", "kernel_id": "2642701"}, {"ref": "philome/exercise-machine-learning-competitions-fe92e3", "kernel_id": "2639297"}, {"ref": "paradoxicalparadox/exercise-explore-your-data", "kernel_id": "2685557"}, {"ref": "freedomhappy/exercise-machine-learning-competitions", "kernel_id": "2780973"}, {"ref": "pmucha/housing-prices-competition", "kernel_id": "2766573"}, {"ref": "yulanl22/exercise-explore-your-data", "kernel_id": "2700023"}, {"ref": "andreamariefestoy/exercise-random-forests", "kernel_id": "2992376"}, {"ref": "andreamariefestoy/exercise-machine-learning-competitions", "kernel_id": "2992463"}, {"ref": "yashagrawal19/exercise-machine-learning-competitions-b7f40d", "kernel_id": "2920409"}, {"ref": "ampani1306/exercise-your-first-machine-learning-model", "kernel_id": "2762515"}, {"ref": "ampani1306/exercise-machine-learning-competitions", "kernel_id": "2762302"}, {"ref": "shubhampuri/exercise-machine-learning-competitions", "kernel_id": "2745655"}, {"ref": "elfarash/exercise-machine-learning-competitions-19cc0e", "kernel_id": "2762674"}, {"ref": "shuai916/exercise-machine-learning-competitions", "kernel_id": "2747078"}, {"ref": "jmmrbx/exercise-machine-learning-competitions", "kernel_id": "2864446"}, {"ref": "fullnamefull/exercise-machine-learning-competitions", "kernel_id": "2993173"}, {"ref": "emmanuelvazquez/exercise-machine-learning-competitions", "kernel_id": "2986774"}, {"ref": "s76457/exercise-your-first-machine-learning-model", "kernel_id": "2961097"}, {"ref": "aravind15/exercise-basic-data-exploration-daily", "kernel_id": "2911335"}, {"ref": "aravind15/exercise-your-first-machine-learning-model", "kernel_id": "2911450"}, {"ref": "akshatdeep12/exercise-machine-learning-competitions", "kernel_id": "2940319"}, {"ref": "akshatdeep12/exercise-your-first-machine-learning-model", "kernel_id": "2927453"}, {"ref": "bstrayer0/exercise-your-first-machine-learning-model", "kernel_id": "2916234"}, {"ref": "darbin/kaggle-learn-ml-7-exercise-model-validation", "kernel_id": "3142023"}, {"ref": "darbin/kaggle-learn-ml-exercise-10-random-forests", "kernel_id": "3155384"}, {"ref": "darbin/kaggle-learn-ml-exercise-10-mlcompetitions", "kernel_id": "3155412"}, {"ref": "darbin/random-forest-missing-transform-categories", "kernel_id": "3182191"}, {"ref": "darbin/cross-validation-on-pipelines-for-xgboost", "kernel_id": "3220500"}, {"ref": "darbin/xgboost-default-missing-transform-categories", "kernel_id": "3193926"}, {"ref": "darbin/xgboost-tuned-on-cleaned-data-lb-15430", "kernel_id": "3195728"}, {"ref": "darbin/xgboost-tuned-on-cleaned-data-v2", "kernel_id": "3204246"}, {"ref": "darbin/xgboost-tuned-with-pipelines", "kernel_id": "3215852"}, {"ref": "sauvikde/exercise-machine-learning-competitions", "kernel_id": "3923890"}, {"ref": "chenhanhsiao/exercise-machine-learning-competitions", "kernel_id": "3591619"}, {"ref": "kristopherwagner/exercise-your-first-machine-learning-model-daily", "kernel_id": "3856311"}, {"ref": "kristopherwagner/exercise-basic-data-exploration-daily", "kernel_id": "3825097"}, {"ref": "kristopherwagner/exercise-model-validation-daily", "kernel_id": "3885400"}, {"ref": "kristopherwagner/exercise-underfitting-and-overfitting-daily", "kernel_id": "3911112"}, {"ref": "kristopherwagner/exercise-random-forests-daily", "kernel_id": "3911242"}, {"ref": "kristopherwagner/exercise-machine-learning-competitions-daily", "kernel_id": "3911280"}, {"ref": "r1sh4bh/exercise-underfitting-and-overfitting", "kernel_id": "3522637"}, {"ref": "r1sh4bh/exercise-random-forests", "kernel_id": "3523361"}, {"ref": "r1sh4bh/exercise-machine-learning-competitions", "kernel_id": "3523537"}, {"ref": "r1sh4bh/exercise-your-first-machine-learning-model", "kernel_id": "3513550"}, {"ref": "aryeh1/exercise-basic-data-exploration-daily", "kernel_id": "3949588"}, {"ref": "gungz87/exercise-machine-learning-competitions", "kernel_id": "3365701"}, {"ref": "arefin/exercise-machine-learning-competitions", "kernel_id": "3787143"}, {"ref": "vidyaas/exercise-machine-learning-competitions", "kernel_id": "3348011"}, {"ref": "vsharad/exercise-machine-learning-competitions", "kernel_id": "3757959"}, {"ref": "vsharad/exercise-random-forests", "kernel_id": "3757891"}, {"ref": "vsharad/exercise-underfitting-and-overfitting", "kernel_id": "3757349"}, {"ref": "vsharad/exercise-model-validation", "kernel_id": "3753549"}, {"ref": "vsharad/exercise-your-first-machine-learning-model", "kernel_id": "3602372"}, {"ref": "jjbuchanan/xgboost-study-housing-prices-competition", "kernel_id": "3445179"}, {"ref": "jjbuchanan/submit-instructions-housing-prices-competition", "kernel_id": "3433725"}, {"ref": "jjbuchanan/model-comparison-housing-prices-competition", "kernel_id": "3435754"}, {"ref": "jjbuchanan/dataset-exploration-housing-prices-competition", "kernel_id": "3422458"}, {"ref": "mferrac/exercise-machine-learning-competitions", "kernel_id": "3498287"}, {"ref": "achinta/pytorch-for-house-pricing", "kernel_id": "3700439"}, {"ref": "mukeshkumar95/exercise-your-first-machine-learning-model", "kernel_id": "3337884"}, {"ref": "gowrishankarin/learn-ml-ml101-rank-4500-to-450-in-a-day", "kernel_id": "3594690"}, {"ref": "z3rocool/exercise-machine-learning-competitions", "kernel_id": "3164415"}, {"ref": "habibmrad1983/exercise-your-first-machine-learning-model", "kernel_id": "3540179"}, {"ref": "habibmrad1983/exercise-underfitting-and-overfitting", "kernel_id": "3595725"}, {"ref": "habibmrad1983/exercise-random-forests", "kernel_id": "3596060"}, {"ref": "habibmrad1983/exercise-model-validation", "kernel_id": "3595204"}, {"ref": "habibmrad1983/exercise-machine-learning-competitions", "kernel_id": "3596201"}, {"ref": "maarklam/gradient-boosted-regression-with-pipelines", "kernel_id": "3875382"}, {"ref": "hugoesteves/exercise-machine-learning-competitions", "kernel_id": "3868411"}, {"ref": "viktor923/exercise-machine-learning-competitions", "kernel_id": "3307629"}, {"ref": "aaelamine/exercise-machine-learning-competitions", "kernel_id": "3377488"}, {"ref": "mariannetoma/exercise-machine-learning-competitions", "kernel_id": "3335589"}, {"ref": "prisaha/exercise-machine-learning-competitions", "kernel_id": "3404953"}, {"ref": "warheads/exercise-machine-learning-competitions", "kernel_id": "3090877"}, {"ref": "vadlamania/exercise-machine-learning-competitions", "kernel_id": "3477016"}, {"ref": "rivkac/exercise-model-validation-fc9036", "kernel_id": "3227971"}, {"ref": "beeezeee/exercise-missing-values", "kernel_id": "3692294"}, {"ref": "fionyip/exercise-random-forests", "kernel_id": "3150709"}, {"ref": "fionyip/exercise-machine-learning-competitions", "kernel_id": "3150755"}, {"ref": "claudiovalim/exercise-underfitting-and-overfitting", "kernel_id": "3915601"}, {"ref": "claudiovalim/model-validation", "kernel_id": "3887622"}, {"ref": "claudiovalim/exercise-model-validation", "kernel_id": "3887675"}, {"ref": "claudiovalim/exercise-basic-data-exploration", "kernel_id": "3849576"}, {"ref": "claudiovalim/your-first-machine-learning-model", "kernel_id": "3849586"}, {"ref": "claudiovalim/exercise-your-first-machine-learning-model", "kernel_id": "3849648"}, {"ref": "claudiovalim/how-models-work", "kernel_id": "3838098"}, {"ref": "claudiovalim/basic-data-exploration", "kernel_id": "3838150"}, {"ref": "claudiovalim/exercise-random-forests", "kernel_id": "3956383"}, {"ref": "amontanor/exercise-machine-learning-competitions", "kernel_id": "3134593"}, {"ref": "niekunlin/exercise-model-validation", "kernel_id": "3164099"}, {"ref": "niekunlin/model-validation", "kernel_id": "3117449"}, {"ref": "sujata16/exercise-basic-data-exploration", "kernel_id": "3738141"}, {"ref": "amalhanaja/exercise-machine-learning-competitions", "kernel_id": "3865356"}, {"ref": "amalhanaja/exercise-your-first-machine-learning-model", "kernel_id": "3864870"}, {"ref": "amalhanaja/exercise-model-validation", "kernel_id": "3864962"}, {"ref": "amalhanaja/exercise-underfitting-and-overfitting", "kernel_id": "3865051"}, {"ref": "amalhanaja/exercise-random-forests", "kernel_id": "3865143"}, {"ref": "howardkk/exercise-your-first-machine-learning-model", "kernel_id": "3319210"}, {"ref": "tonyzheng/exercise-random-forests", "kernel_id": "3926919"}, {"ref": "tonyzheng/exercise-machine-learning-competitions", "kernel_id": "3926965"}, {"ref": "tonyzheng/exercise-your-first-machine-learning-model", "kernel_id": "3926301"}, {"ref": "tonyzheng/exercise-model-validation", "kernel_id": "3926541"}, {"ref": "tonyzheng/exercise-underfitting-and-overfitting", "kernel_id": "3926684"}, {"ref": "limara/exercise-machine-learning-competitions", "kernel_id": "3554154"}, {"ref": "saurabhgupta2104/exercise-machine-learning-competitions-cc5d4b", "kernel_id": "3138086"}, {"ref": "daftintrovert/how-models-work", "kernel_id": "3272227"}, {"ref": "lolcats/exercise-your-first-machine-learning-model", "kernel_id": "3143631"}, {"ref": "lolcats/your-first-machine-learning-model", "kernel_id": "3143425"}, {"ref": "cedna198/how-models-work-using-housing-prices-data", "kernel_id": "3442017"}, {"ref": "mcleni/exercise-machine-learning-competitions", "kernel_id": "3692187"}, {"ref": "sanjayml/exercise-machine-learning-competitions", "kernel_id": "3257956"}, {"ref": "sanjayml/exercise-random-forests", "kernel_id": "3257881"}, {"ref": "sanjayml/exercise-underfitting-and-overfitting", "kernel_id": "3256874"}, {"ref": "sanjayml/exercise-model-validation", "kernel_id": "3256164"}, {"ref": "askolkova/exercise-categorical-variables", "kernel_id": "3791892"}, {"ref": "askolkova/exercise-your-first-machine-learning-model", "kernel_id": "3508375"}, {"ref": "askolkova/exercise-random-forests", "kernel_id": "3653569"}, {"ref": "askolkova/exercise-model-validation", "kernel_id": "3653371"}, {"ref": "askolkova/exercise-machine-learning-competitions", "kernel_id": "3653659"}, {"ref": "askolkova/exercise-underfitting-and-overfitting", "kernel_id": "3653462"}, {"ref": "xaxetrov/housing-price-decision-tree-and-random-forest", "kernel_id": "3058785"}, {"ref": "sergetechnologies/exercise-machine-learning-competitions", "kernel_id": "3350911"}, {"ref": "vuown88/exercise-underfitting-and-overfitting", "kernel_id": "3007197"}, {"ref": "marialobillo/exercise-your-first-machine-learning-model", "kernel_id": "3048525"}, {"ref": "marialobillo/exercise-model-validation", "kernel_id": "3049136"}, {"ref": "marialobillo/exercise-random-forests", "kernel_id": "3051154"}, {"ref": "marialobillo/exercise-underfitting-and-overfitting", "kernel_id": "3050884"}, {"ref": "nixraj/exercise-machine-learning-competitions", "kernel_id": "3463048"}, {"ref": "sadhukoushik/exercise-random-forests", "kernel_id": "3219253"}, {"ref": "prasenjit21/exercise-basic-data-exploration-daily", "kernel_id": "3557707"}, {"ref": "prasenjit21/exercise-machine-learning-competitions-daily", "kernel_id": "3690276"}, {"ref": "swapnilshinde367/exercise-xgboost-with-one-hot-encoder", "kernel_id": "3824354"}, {"ref": "calmly/exercise-machine-learning-competitions", "kernel_id": "3521798"}, {"ref": "raju136/exercise-random-forests", "kernel_id": "3491005"}, {"ref": "raju136/exercise-underfitting-and-overfitting", "kernel_id": "3490870"}, {"ref": "raju136/exercise-model-validation", "kernel_id": "3490792"}, {"ref": "raju136/exercise-your-first-machine-learning-model", "kernel_id": "3481092"}, {"ref": "aoling/exercise-introduction", "kernel_id": "3692021"}, {"ref": "santoshbothe/housingpriceprediction", "kernel_id": "3039046"}, {"ref": "kieran7741/exercise-machine-learning-competitions", "kernel_id": "3388335"}, {"ref": "andrea01/exercise-machine-learning-competitions", "kernel_id": "3772868"}, {"ref": "eyalerez/exercise-machine-learning-competitions", "kernel_id": "3368988"}, {"ref": "arorarmr/exercise-underfitting-and-overfitting", "kernel_id": "3518276"}, {"ref": "lucas81/exercise-model-validation", "kernel_id": "3125958"}, {"ref": "lucas81/exercise-your-first-machine-learning-model", "kernel_id": "3125606"}, {"ref": "lucas81/exercise-machine-learning-competitions", "kernel_id": "3130100"}, {"ref": "tangerine1202/house-prices-kernel", "kernel_id": "3478015"}, {"ref": "shashvatshah/exercise-random-forests", "kernel_id": "3323438"}, {"ref": "shashvatshah/exercise-machine-learning-competitions", "kernel_id": "3323497"}, {"ref": "shashvatshah/exercise-underfitting-and-overfitting", "kernel_id": "3322492"}, {"ref": "msdoyino/exercise-underfitting-and-overfitting", "kernel_id": "3787374"}, {"ref": "msdoyino/exercise-model-validation", "kernel_id": "3787120"}, {"ref": "msdoyino/exercise-missing-values", "kernel_id": "3794134"}, {"ref": "msdoyino/exercise-machine-learning-competitions", "kernel_id": "3793446"}, {"ref": "msdoyino/exercise-random-forests", "kernel_id": "3793264"}, {"ref": "msdoyino/exercise-introduction", "kernel_id": "3793770"}, {"ref": "msdoyino/exercise-your-first-machine-learning-model", "kernel_id": "3736472"}, {"ref": "msdoyino/exercise-categorical-variables", "kernel_id": "3799988"}, {"ref": "vikash1a2b3c/kernel1030724f63", "kernel_id": "3264927"}, {"ref": "anil777/random-forests-practice", "kernel_id": "3528231"}, {"ref": "soumensarker/how-models-work", "kernel_id": "3308920"}, {"ref": "soumensarker/exercise-your-first-machine-learning-model", "kernel_id": "3309449"}, {"ref": "soumensarker/random-forests", "kernel_id": "3312248"}, {"ref": "soumensarker/exercise-random-forests", "kernel_id": "3312258"}, {"ref": "soumensarker/exercise-model-validation", "kernel_id": "3309647"}, {"ref": "soumensarker/exercise-underfitting-and-overfitting", "kernel_id": "3309831"}, {"ref": "rishabh78/exercise-machine-learning-competitions", "kernel_id": "3245870"}, {"ref": "gauravvijayvergiya/housing-competition", "kernel_id": "3821006"}, {"ref": "aabhishek1121/exercise-machine-learning-competitions", "kernel_id": "3482333"}, {"ref": "hichamc/exercise-machine-learning-competitions", "kernel_id": "3267836"}, {"ref": "alisher021190/exercise-machine-learning-competitions", "kernel_id": "3413998"}, {"ref": "itamargr/exercise-categorical-variables-with-my-changes", "kernel_id": "3894667"}, {"ref": "samshanmukh/exercise-machine-learning-competitions", "kernel_id": "3151131"}, {"ref": "dipkumardas/exercise-machine-learning-competitions", "kernel_id": "3925560"}, {"ref": "moonisafairy/exercise-machine-learning-competitions-aed9fb", "kernel_id": "3202383"}, {"ref": "moonisafairy/exercise-underfitting-and-overfitting", "kernel_id": "3201584"}, {"ref": "prudhvi9999/exercise-machine-learning-competitions", "kernel_id": "3348250"}, {"ref": "phuhung273/exercise-introduction", "kernel_id": "3734988"}, {"ref": "ramyaparimi/exercise-model-validation", "kernel_id": "3639032"}, {"ref": "ramyaparimi/exercise-machine-learning-competitions", "kernel_id": "3673314"}, {"ref": "tingatmi/exercise-underfitting-and-overfitting", "kernel_id": "3530777"}, {"ref": "tingatmi/exercise-random-forests", "kernel_id": "3534929"}, {"ref": "naveenk519/exercise-basic-data-exploration", "kernel_id": "3765498"}, {"ref": "ahv1365/exercise-machine-learning-competitions", "kernel_id": "3397562"}, {"ref": "hachulsiu/exercise-machine-learning-competitions", "kernel_id": "3719647"}, {"ref": "evgenia82/exercise-your-first-machine-learning-model", "kernel_id": "3562176"}, {"ref": "sirvictorson/exercise-introduction", "kernel_id": "3983978"}, {"ref": "sirvictorson/exercise-machine-learning-competitions", "kernel_id": "3970595"}, {"ref": "annkhamitova/exercise-machine-learning-competitions", "kernel_id": "3089617"}, {"ref": "gauravim/exercise-machine-learning-competitions", "kernel_id": "3188838"}, {"ref": "victorhenrique97/exercise-machine-learning-competitions", "kernel_id": "3050102"}, {"ref": "soounderground/xgb-attempt", "kernel_id": "3058959"}, {"ref": "yat777/exercise-machine-learning-competitions", "kernel_id": "3454286"}, {"ref": "adityashrivastava/exercise-your-first-machine-learning-model", "kernel_id": "3612252"}, {"ref": "aminechakhchoukh/exercise-random-forests", "kernel_id": "3607188"}, {"ref": "aminechakhchoukh/exercise-model-validation", "kernel_id": "3593334"}, {"ref": "aminechakhchoukh/exercise-underfitting-and-overfitting", "kernel_id": "3594363"}, {"ref": "acskag/exercise-introduction", "kernel_id": "3735769"}, {"ref": "faezakamran/exercise-underfitting-and-overfitting", "kernel_id": "3017041"}, {"ref": "faezakamran/house-price-prediction", "kernel_id": "3026588"}, {"ref": "faezakamran/exercise-random-forests", "kernel_id": "3026539"}, {"ref": "faezakamran/exercise-model-validation", "kernel_id": "3004359"}, {"ref": "faezakamran/exercise-your-first-machine-learning-model", "kernel_id": "3001384"}, {"ref": "nuibbhasan/exercise-underfitting-and-overfitting", "kernel_id": "3453215"}, {"ref": "nuibbhasan/exercise-model-validation", "kernel_id": "3452509"}, {"ref": "nuibbhasan/exercise-random-forests", "kernel_id": "3453752"}, {"ref": "nuibbhasan/exercise-machine-learning-competitions", "kernel_id": "3453911"}, {"ref": "nuibbhasan/exercise-your-first-machine-learning-model", "kernel_id": "3451949"}, {"ref": "saisantoshbaratam/exercise-machine-learning-competitions", "kernel_id": "3334054"}, {"ref": "anabeana/exercise-missing-values", "kernel_id": "3766264"}, {"ref": "pyropenguin/exercise-machine-learning-competitions", "kernel_id": "3639518"}, {"ref": "aloksriva/exercise-machine-learning-competitions", "kernel_id": "3954855"}, {"ref": "romanpukh/exercise-model-validation", "kernel_id": "3020906"}, {"ref": "yeshwanth97/exercise-random-forests", "kernel_id": "3003626"}, {"ref": "liuliuda/exercise-model-validation", "kernel_id": "3939321"}, {"ref": "ashwanitr001/exercise-underfitting-and-overfitting", "kernel_id": "3558917"}, {"ref": "jsurabhi94/exercise-machine-learning-competitions", "kernel_id": "3586888"}, {"ref": "surajkmr/housing-prices-predictions", "kernel_id": "3262978"}, {"ref": "arpan1806/exercise-your-first-machine-learning-model", "kernel_id": "3058721"}, {"ref": "shefalik/exercise-your-first-machine-learning-model", "kernel_id": "3296703"}, {"ref": "zelaram/exercise-machine-learning-competitions", "kernel_id": "3103476"}, {"ref": "alwaysplanahea/exercise-underfitting-and-overfitting", "kernel_id": "3272342"}, {"ref": "alwaysplanahea/exercise-model-validation", "kernel_id": "3261630"}, {"ref": "alwaysplanahea/exercise-your-first-machine-learning-model", "kernel_id": "3261279"}, {"ref": "alwaysplanahea/exercise-random-forests", "kernel_id": "3330004"}, {"ref": "alwaysplanahea/exercise-machine-learning-competitions", "kernel_id": "3330005"}, {"ref": "medridasahib/exercise-machine-learning-competitions", "kernel_id": "3042021"}, {"ref": "rolandas1369/exercise-categorical-variables", "kernel_id": "3865664"}, {"ref": "vintners/exercise-machine-learning-competitions", "kernel_id": "3116464"}, {"ref": "gabrieladepp/exercise-machine-learning-competitions", "kernel_id": "3021752"}, {"ref": "itslek/h2o-automl-house-prices-k-v1", "kernel_id": "3114200"}, {"ref": "itslek/stack-blend-lrs-xgb-lgb-house-prices-k-v17", "kernel_id": "3083365"}, {"ref": "alexisbcook/exercise-data-leakage", "kernel_id": "3370270"}, {"ref": "alexisbcook/exercise-xgboost", "kernel_id": "3370271"}, {"ref": "alexisbcook/exercise-introduction", "kernel_id": "3370272"}, {"ref": "alexisbcook/pipelines", "kernel_id": "3370273"}, {"ref": "alexisbcook/categorical-variables", "kernel_id": "3370274"}, {"ref": "alexisbcook/missing-values", "kernel_id": "3370275"}, {"ref": "alexisbcook/cross-validation", "kernel_id": "3370277"}, {"ref": "alexisbcook/exercise-pipelines", "kernel_id": "3370278"}, {"ref": "alexisbcook/exercise-categorical-variables", "kernel_id": "3370279"}, {"ref": "alexisbcook/exercise-missing-values", "kernel_id": "3370280"}, {"ref": "alexisbcook/exercise-cross-validation", "kernel_id": "3370281"}, {"ref": "alexisbcook/introduction", "kernel_id": "3370282"}, {"ref": "alexisbcook/xgboost", "kernel_id": "3081590"}, {"ref": "alexisbcook/data-leakage", "kernel_id": "3115809"}, {"ref": "genkapenka/exercise-machine-learning-competitions-d7bec0", "kernel_id": "3276628"}, {"ref": "mathemator/exercise-machine-learning-competitions", "kernel_id": "3595837"}, {"ref": "datauma/exercise-machine-learning-competitions", "kernel_id": "3103689"}, {"ref": "hughzhangcy/exercise-underfitting-and-overfitting", "kernel_id": "3853994"}, {"ref": "hughzhangcy/exercise-model-validation", "kernel_id": "3849296"}, {"ref": "hughzhangcy/exercise-random-forests", "kernel_id": "3860151"}, {"ref": "hughzhangcy/exercise-machine-learning-competitions", "kernel_id": "3860245"}, {"ref": "hughzhangcy/exercise-your-first-machine-learning-model", "kernel_id": "3837176"}, {"ref": "hughzhangcy/exercise-basic-data-exploration", "kernel_id": "3785683"}, {"ref": "hughzhangcy/exercise-introduction", "kernel_id": "3993598"}, {"ref": "vivek272/house-prediction-randomforest", "kernel_id": "3187106"}, {"ref": "sayalitelang/exercise-model-validation", "kernel_id": "3893087"}, {"ref": "sayalitelang/exercise-your-first-machine-learning-model", "kernel_id": "3892354"}, {"ref": "sayalitelang/exercise-underfitting-and-overfitting", "kernel_id": "3894192"}, {"ref": "trebuh/exercise-your-first-machine-learning-model", "kernel_id": "3693166"}, {"ref": "trebuh/exercise-underfitting-and-overfitting", "kernel_id": "3745782"}, {"ref": "trebuh/exercise-model-validation", "kernel_id": "3742857"}, {"ref": "safyrha/exercise-machine-learning-competitions", "kernel_id": "3262405"}, {"ref": "shafeekan/exercise-your-first-machine-learning-model", "kernel_id": "3280929"}, {"ref": "leejsheng/applying-kaggle-learn-machine-learning", "kernel_id": "3017146"}, {"ref": "mralakija/exercise-machine-learning-competitions", "kernel_id": "3314727"}, {"ref": "victow/xgboost-with-and-without-early-stop-comparaison", "kernel_id": "3070848"}, {"ref": "komalgrover/exercise-machine-learning-competitions", "kernel_id": "3643496"}, {"ref": "dpamgautam/exercise-underfitting-and-overfitting", "kernel_id": "3798463"}, {"ref": "dpamgautam/exercise-random-forests", "kernel_id": "3798711"}, {"ref": "dpamgautam/exercise-machine-learning-competitions", "kernel_id": "3798751"}, {"ref": "dpamgautam/exercise-model-validation", "kernel_id": "3798174"}, {"ref": "dpamgautam/exercise-your-first-machine-learning-model", "kernel_id": "3798042"}, {"ref": "seyiprisca/exercise-your-first-machine-learning-model", "kernel_id": "3571460"}, {"ref": "s76457/exercise-random-forests", "kernel_id": "3049400"}, {"ref": "s76457/exercise-machine-learning-competitions", "kernel_id": "3049543"}, {"ref": "s76457/model-validation", "kernel_id": "3045688"}, {"ref": "s76457/exercise-model-validation", "kernel_id": "3045745"}, {"ref": "s76457/underfitting-and-overfitting", "kernel_id": "3046231"}, {"ref": "s76457/exercise-underfitting-and-overfitting", "kernel_id": "3046628"}, {"ref": "lodestar/exercise-machine-learning-competitions", "kernel_id": "3979294"}, {"ref": "gotham3/exercise-your-first-machine-learning-model", "kernel_id": "3204403"}, {"ref": "gotham3/exercise-model-validation", "kernel_id": "3288090"}, {"ref": "mpn880/exercise-machine-learning-competitions", "kernel_id": "3018308"}, {"ref": "bstrayer0/exercise-machine-learning-competitions", "kernel_id": "3000720"}, {"ref": "bstrayer0/exercise-random-forests", "kernel_id": "3000608"}, {"ref": "aseeph/exercise-machine-learning-competitions", "kernel_id": "3008938"}, {"ref": "lpopoviot/iowa-housing-data-comp", "kernel_id": "3210885"}, {"ref": "flichao/exercise-machine-learning-competitions", "kernel_id": "3130318"}, {"ref": "flichao/exercise-random-forests", "kernel_id": "3130083"}, {"ref": "shreyanshpromudjain/exercise-machine-learning-competitions", "kernel_id": "3389550"}, {"ref": "paukarin/exercise-machine-learning-competitions", "kernel_id": "3062074"}, {"ref": "rajivgt/exercise-machine-learning-competitions-12a75b", "kernel_id": "3074222"}, {"ref": "safafisalam/exercise-machine-learning-competitions-daily", "kernel_id": "3627312"}, {"ref": "eijiyamaguchi00/housing-price-prediction-by-beginner", "kernel_id": "3190404"}, {"ref": "eijiyamaguchi00/housing-price-data-precondition-and-analysis", "kernel_id": "3190366"}, {"ref": "shramandas/exercise-machine-learning-competitions", "kernel_id": "3044539"}, {"ref": "jaspritkaur2920/exercise-underfitting-and-overfitting", "kernel_id": "3498144"}, {"ref": "jaspritkaur2920/exercise-your-first-machine-learning-model", "kernel_id": "3021220"}, {"ref": "yashbbelkhedkar1/exercise-model-validation", "kernel_id": "3355987"}, {"ref": "yashbbelkhedkar1/exercise-your-first-machine-learning-model", "kernel_id": "3355849"}, {"ref": "migellito/exercise-machine-learning-competitions", "kernel_id": "3996666"}, {"ref": "suvedhab/exercise-underfitting-and-overfitting", "kernel_id": "3048844"}, {"ref": "andrewyounggo/exercise-machine-learning-competitions", "kernel_id": "3381218"}, {"ref": "dataset0/exercise-your-first-machine-learning-model", "kernel_id": "3062277"}, {"ref": "dataset0/exercise-model-validation", "kernel_id": "3109352"}, {"ref": "dataset0/exercise-underfitting-and-overfitting", "kernel_id": "3138883"}, {"ref": "dataset0/exercise-random-forests", "kernel_id": "3203096"}, {"ref": "sumitai/exercise-model-validation", "kernel_id": "3087003"}, {"ref": "sumitai/exercise-your-first-machine-learning-model-3d4665", "kernel_id": "3079772"}, {"ref": "boopathirajanb/exercise-machine-learning-competitions", "kernel_id": "3141415"}, {"ref": "reintegrated/exercise-machine-learning-competitions", "kernel_id": "3131707"}, {"ref": "reintegrated/exercise-model-validation-bc2068", "kernel_id": "3123111"}, {"ref": "zapodatke/exercise-machine-learning-competitions", "kernel_id": "3286538"}, {"ref": "davmt1994/exercise-machine-learning-competitions", "kernel_id": "3112697"}, {"ref": "flaviocnn/exercise-your-first-machine-learning-model", "kernel_id": "3124569"}, {"ref": "pandorabox/exercise-machine-learning-competitions", "kernel_id": "3467071"}, {"ref": "andrewmsilva/exercise-machine-learning-competitions", "kernel_id": "3159673"}, {"ref": "jalois/exercise-machine-learning-competitions", "kernel_id": "3174675"}, {"ref": "jingwjwoo/exercise-introduction", "kernel_id": "3766965"}, {"ref": "jingwjwoo/exercise-missing-values", "kernel_id": "3767241"}, {"ref": "jingwjwoo/exercise-categorical-variables", "kernel_id": "3768651"}, {"ref": "sasa99/exercise-machine-learning-competitions", "kernel_id": "3358708"}, {"ref": "sasa99/exercise-your-first-machine-learning-model", "kernel_id": "3351063"}, {"ref": "gianmarcovacca/exercise-machine-learning-competitions", "kernel_id": "3207784"}, {"ref": "aijajkhan/exercise-your-first-machine-learning-model", "kernel_id": "3199496"}, {"ref": "goliaraghi/exercise-machine-learning-competitions", "kernel_id": "3560409"}, {"ref": "maritell/exercise-machine-learning-competitions", "kernel_id": "3312888"}, {"ref": "towfeeqf/exercise-model-validation", "kernel_id": "3846962"}, {"ref": "towfeeqf/exercise-your-first-machine-learning-model", "kernel_id": "3844722"}, {"ref": "rishabhkalakoti/exercise-machine-learning-competitions", "kernel_id": "3851436"}, {"ref": "nayeemuddin/exercise-your-first-machine-learning-model", "kernel_id": "3260575"}, {"ref": "martinendersfau/exercise-machine-learning-competitions", "kernel_id": "3288191"}, {"ref": "liange/exercise-machine-learning-competitions", "kernel_id": "3332888"}, {"ref": "helloworld1098/exercise-machine-learning-competitions", "kernel_id": "3406116"}, {"ref": "matthieu64/exercise-machine-learning-competitions", "kernel_id": "3301357"}, {"ref": "theophilebu/ml-competition", "kernel_id": "3810897"}, {"ref": "ahmedamar1607/exercise-underfitting-and-overfitting", "kernel_id": "3326587"}, {"ref": "ahmedamar1607/exercise-random-forests", "kernel_id": "3327055"}, {"ref": "ahmedamar1607/exercise-machine-learning-competitions", "kernel_id": "3327139"}, {"ref": "dullmc/exercise-machine-learning-competitions", "kernel_id": "3335044"}, {"ref": "utkarshtiwari/exercise-machine-learning-competitions", "kernel_id": "3918818"}, {"ref": "atul0204/exercise-model-validation", "kernel_id": "3337546"}, {"ref": "atul0204/decision-tree-regressor", "kernel_id": "3377772"}, {"ref": "atul0204/exercise-random-forests", "kernel_id": "3377414"}, {"ref": "rkshrksh/exercise-machine-learning-competitions", "kernel_id": "3681152"}, {"ref": "matman89/exercise-machine-learning-competitions", "kernel_id": "3405153"}, {"ref": "monap93/exercise-machine-learning-competitions", "kernel_id": "3999947"}, {"ref": "pythonsilvan/exercise-machine-learning-competitions", "kernel_id": "3441111"}, {"ref": "denkasyan/exercise-machine-learning-competitions", "kernel_id": "3477530"}, {"ref": "mxjamie/exercise-model-validation", "kernel_id": "3878445"}, {"ref": "mxjamie/exercise-underfitting-and-overfitting", "kernel_id": "3879200"}, {"ref": "imerzi/exercise-your-first-machine-learning-model", "kernel_id": "3477021"}, {"ref": "vipulnarain/exercise-machine-learning-competitions", "kernel_id": "3712239"}, {"ref": "jobiauyeung/exercise-machine-learning-competitions", "kernel_id": "3645919"}, {"ref": "gracexwho/exercise-machine-learning-competitions", "kernel_id": "3732169"}, {"ref": "legolaus/exercise-random-forests", "kernel_id": "3512104"}, {"ref": "neclevio/exercise-machine-learning-competitions", "kernel_id": "3587824"}, {"ref": "safoura/exercise-machine-learning-competitions", "kernel_id": "3662738"}, {"ref": "oold95/kernel832b5b37b0", "kernel_id": "3569450"}, {"ref": "tkslekd5432/exercise-machine-learning-competitions", "kernel_id": "3652134"}, {"ref": "akhaykap/exercise-machine-learning-competitions", "kernel_id": "3877504"}, {"ref": "arpana11/exercise-machine-learning-competitions", "kernel_id": "3585395"}, {"ref": "mrahro89/xgboost", "kernel_id": "3815337"}, {"ref": "markuscl/exercise-pipelines", "kernel_id": "3685804"}, {"ref": "markuscl/fork-of-fork-of-improve-xgboost", "kernel_id": "3712443"}, {"ref": "priyat0612/exercise-machine-learning-competitions", "kernel_id": "3679569"}, {"ref": "siddharthtce/exercise-model-validation", "kernel_id": "3863240"}, {"ref": "siddharthtce/exercise-underfitting-and-overfitting", "kernel_id": "3873836"}, {"ref": "siddharthtce/exercise-machine-learning-competitions", "kernel_id": "3883171"}, {"ref": "siddharthtce/exercise-random-forests", "kernel_id": "3883082"}, {"ref": "siddharthtce/exercise-your-first-machine-learning-model", "kernel_id": "3862995"}, {"ref": "xerous/exercise-model-validation", "kernel_id": "3941524"}, {"ref": "randhirjaiswal/exercise-your-first-machine-learning-model", "kernel_id": "3778467"}, {"ref": "randhirjaiswal/exercise-model-validation", "kernel_id": "3780056"}, {"ref": "randhirjaiswal/exercise-random-forests", "kernel_id": "3821639"}, {"ref": "randhirjaiswal/exercise-underfitting-and-overfitting", "kernel_id": "3820765"}, {"ref": "randhirjaiswal/exercise-machine-learning-competitions", "kernel_id": "3830187"}, {"ref": "franlopezguzman/exercise-xgboost", "kernel_id": "3806044"}, {"ref": "mhskjelvareid/iowa-housing-all-non-nan-numerical", "kernel_id": "3855021"}, {"ref": "mhskjelvareid/exercise-machine-learning-competitions", "kernel_id": "3845431"}, {"ref": "nalron/exercise-model-validation", "kernel_id": "3841364"}, {"ref": "nalron/exercise-your-first-machine-learning-model", "kernel_id": "3832586"}, {"ref": "elrabu/exercise-machine-learning-competitions-tutorial", "kernel_id": "3832253"}, {"ref": "willrussell90/iowa-property-competition", "kernel_id": "3874135"}, {"ref": "jjbachiller/exercise-machine-learning-competitions", "kernel_id": "3875920"}, {"ref": "bhavikbb/exercise-introduction", "kernel_id": "3906863"}, {"ref": "putamalia/house-prediction-random-decision-forest-1191e6", "kernel_id": "3916295"}, {"ref": "amitdhakad/exercise-your-first-machine-learning-model", "kernel_id": "3891904"}, {"ref": "amitdhakad/exercise-model-validation", "kernel_id": "3893486"}, {"ref": "maddanur/exercise-machine-learning-competitions", "kernel_id": "3908114"}, {"ref": "dingqinxu/exercise-machine-learning-competitions", "kernel_id": "3984576"}, {"ref": "vvvvesper/exercise-machine-learning-competitions", "kernel_id": "3931641"}, {"ref": "datamrodrigo/exercise-basic-data-exploration", "kernel_id": "3937734"}, {"ref": "datamrodrigo/exercise-model-validation", "kernel_id": "3942191"}, {"ref": "datamrodrigo/exercise-your-first-machine-learning-model", "kernel_id": "3941687"}, {"ref": "nelsonkems/exercise-model-validation", "kernel_id": "3974360"}, {"ref": "enessari/how-to-handle-missing-values-housing-price-data", "kernel_id": "4893980"}, {"ref": "enessari/categorical-variables-and-one-hot-encoding", "kernel_id": "4895544"}, {"ref": "enessari/ml-pipelines-code-organized-data-prepocessing", "kernel_id": "4897600"}, {"ref": "enessari/ml-models-with-randomforest", "kernel_id": "4882409"}, {"ref": "lucasbruscato/exercise-your-first-machine-learning-model", "kernel_id": "4067357"}, {"ref": "lucasbruscato/exercise-basic-data-exploration", "kernel_id": "4067527"}, {"ref": "lucasbruscato/exercise-model-validation", "kernel_id": "4095346"}, {"ref": "lucasbruscato/exercise-underfitting-and-overfitting", "kernel_id": "4095564"}, {"ref": "lucasbruscato/exercise-categorical-variables", "kernel_id": "4271066"}, {"ref": "lucasbruscato/exercise-pipelines", "kernel_id": "4271067"}, {"ref": "lucasbruscato/exercise-introduction", "kernel_id": "4246250"}, {"ref": "lucasbruscato/exercise-missing-values", "kernel_id": "4246251"}, {"ref": "lucasbruscato/exercise-random-forests", "kernel_id": "4127429"}, {"ref": "lucasbruscato/exercise-machine-learning-competitions", "kernel_id": "4127430"}, {"ref": "lucasbruscato/exercise-data-leakage", "kernel_id": "4385803"}, {"ref": "lucasbruscato/exercise-cross-validation", "kernel_id": "4294901"}, {"ref": "lucasbruscato/exercise-xgboost", "kernel_id": "4307414"}, {"ref": "markinandrey/exercise-categorical-variables", "kernel_id": "4968850"}, {"ref": "onkarsingh/exercise-introduction", "kernel_id": "4338370"}, {"ref": "kaumudivuppala/exercise-missing-values", "kernel_id": "4136074"}, {"ref": "kaumudivuppala/exercise-introduction", "kernel_id": "4135903"}, {"ref": "purohit/exercise-introduction", "kernel_id": "4228497"}, {"ref": "rishisharma/exercise-your-first-machine-learning-model", "kernel_id": "4261318"}, {"ref": "dimomohit/exercise-machine-learning-competitions", "kernel_id": "4446212"}, {"ref": "tuzepoito/exercise-missing-values", "kernel_id": "4913002"}, {"ref": "tuzepoito/exercise-introduction", "kernel_id": "4908572"}, {"ref": "mil00se/exercise-basic-data-exploration", "kernel_id": "4010812"}, {"ref": "mil00se/exercise-your-first-machine-learning-model", "kernel_id": "4011122"}, {"ref": "vcheleenahalli/exercise-introduction", "kernel_id": "4234797"}, {"ref": "nandita28/exercise-missing-values", "kernel_id": "4417613"}, {"ref": "nandita28/exercise-machine-learning-competitions", "kernel_id": "4396706"}, {"ref": "ourique/exercise-introduction", "kernel_id": "4227576"}, {"ref": "wellingtonwcps/exercise-missing-values", "kernel_id": "4660886"}, {"ref": "mitsuyoshi/exercise-machine-learning-competitions", "kernel_id": "4222631"}, {"ref": "willacy/exercise-machine-learning-competitions", "kernel_id": "4764984"}, {"ref": "mksaad/exercise-data-leakage", "kernel_id": "4841757"}, {"ref": "mksaad/exercise-random-forests", "kernel_id": "4733582"}, {"ref": "mksaad/exercise-introduction-intermediate-ml", "kernel_id": "4738676"}, {"ref": "mksaad/exercise-model-validation", "kernel_id": "4705720"}, {"ref": "mksaad/exercise-underfitting-and-overfitting", "kernel_id": "4705741"}, {"ref": "mksaad/exercise-your-first-machine-learning-model", "kernel_id": "4700251"}, {"ref": "mksaad/exercise-basic-data-exploration", "kernel_id": "4699458"}, {"ref": "prdivyani/exercise-introduction", "kernel_id": "4612456"}, {"ref": "saranshb/exercise-introduction", "kernel_id": "4475334"}, {"ref": "sijiahuang/exercise-machine-learning-competitions", "kernel_id": "4714686"}, {"ref": "karanchhabra99/exercise-model-validation", "kernel_id": "4043359"}, {"ref": "karanchhabra99/exercise-underfitting-and-overfitting", "kernel_id": "4097911"}, {"ref": "karanchhabra99/exercise-random-forests", "kernel_id": "4100560"}, {"ref": "karanchhabra99/exercise-introduction", "kernel_id": "4105758"}, {"ref": "karanchhabra99/exercise-categorical-variables", "kernel_id": "4132082"}, {"ref": "karanchhabra99/exercise-missing-values", "kernel_id": "4127202"}, {"ref": "namard/exercise-missing-values", "kernel_id": "4079145"}, {"ref": "namard/exercise-introduction", "kernel_id": "4078897"}, {"ref": "namard/exercise-basic-data-exploration", "kernel_id": "4078460"}, {"ref": "namard/exercise-random-forests", "kernel_id": "4078600"}, {"ref": "namard/exercise-machine-learning-competitions", "kernel_id": "4078717"}, {"ref": "namard/exercise-underfitting-and-overfitting", "kernel_id": "4066173"}, {"ref": "foboke/exercise-categorical-variables", "kernel_id": "4441896"}, {"ref": "jalaj1234/exercise-underfitting-and-overfitting", "kernel_id": "4200647"}, {"ref": "jalaj1234/exercise-your-first-machine-learning-model", "kernel_id": "4201556"}, {"ref": "jalaj1234/exercise-random-forests", "kernel_id": "4202363"}, {"ref": "jalaj1234/exercise-machine-learning-competitions", "kernel_id": "4202433"}, {"ref": "sh3111/exercise-machine-learning-competitions", "kernel_id": "4315564"}, {"ref": "aakaashjois/exercise-introduction", "kernel_id": "4227101"}, {"ref": "kurian2017/exercise-machine-learning-competitions", "kernel_id": "4426777"}, {"ref": "tuturabbit/exercise-machine-learning-competitions", "kernel_id": "4177078"}, {"ref": "kprocks/exercise-random-forests", "kernel_id": "4528340"}, {"ref": "kprocks/exercise-machine-learning-competitions", "kernel_id": "4528380"}, {"ref": "kprocks/exercise-underfitting-and-overfitting", "kernel_id": "4528417"}, {"ref": "kprocks/exercise-introduction", "kernel_id": "4527756"}, {"ref": "kprocks/exercise-missing-values", "kernel_id": "4549626"}, {"ref": "kprocks/exercise-categorical-variables", "kernel_id": "4547138"}, {"ref": "kprocks/exercise-cross-validation", "kernel_id": "4629412"}, {"ref": "kprocks/exercise-xgboost", "kernel_id": "4645848"}, {"ref": "kprocks/exercise-data-leakage", "kernel_id": "4661952"}, {"ref": "kprocks/exercise-pipelines", "kernel_id": "4613492"}, {"ref": "petrodata/exercise-introduction", "kernel_id": "4831925"}, {"ref": "lalaman/exercise-introduction", "kernel_id": "4234055"}, {"ref": "samlogan/exercise-machine-learning-competitions", "kernel_id": "4804129"}, {"ref": "omdeshmukh/exercise-your-first-machine-learning-model", "kernel_id": "4428555"}, {"ref": "tanejapranav/exercise-xgboost", "kernel_id": "4762760"}, {"ref": "webquik/exercise-introduction", "kernel_id": "4950257"}, {"ref": "phpisciuneri/exercise-your-first-machine-learning-model", "kernel_id": "4467831"}, {"ref": "phpisciuneri/exercise-underfitting-and-overfitting", "kernel_id": "4567585"}, {"ref": "phpisciuneri/exercise-random-forests", "kernel_id": "4567959"}, {"ref": "phpisciuneri/exercise-model-validation", "kernel_id": "4567045"}, {"ref": "phpisciuneri/housing-prices-random-forest-sklearn", "kernel_id": "4577071"}, {"ref": "trencia/exercise-machine-learning-competitions", "kernel_id": "4189373"}, {"ref": "tonyzheng/exercise-introduction", "kernel_id": "4091969"}, {"ref": "tonyzheng/exercise-categorical-variables", "kernel_id": "4114273"}, {"ref": "tonyzheng/exercise-missing-values", "kernel_id": "4113561"}, {"ref": "tonyzheng/exercise-pipelines", "kernel_id": "4124729"}, {"ref": "tonyzheng/exercise-cross-validation", "kernel_id": "4125338"}, {"ref": "tonyzheng/exercise-data-leakage", "kernel_id": "4138357"}, {"ref": "tonyzheng/exercise-xgboost", "kernel_id": "4137080"}, {"ref": "patmcdonald/exercise-your-first-machine-learning-model", "kernel_id": "4911094"}, {"ref": "shivaguntuku/exercise-machine-learning-competitions", "kernel_id": "4042166"}, {"ref": "vikasviki/exercise-basic-data-exploration", "kernel_id": "4744085"}, {"ref": "diskandar69/exercise-machine-learning-competitions", "kernel_id": "4664502"}, {"ref": "mnips123/exercise-machine-learning-competitions", "kernel_id": "4053223"}, {"ref": "sandeepdev/exercise-missing-values", "kernel_id": "4294034"}, {"ref": "ashvinikumar/exercise-introduction", "kernel_id": "4609517"}, {"ref": "snavazio/exercise-introduction", "kernel_id": "4234683"}, {"ref": "jitendrarenu/house-prices-prediction", "kernel_id": "4431031"}, {"ref": "vashdevheerani/exercise-machine-learning-competitions", "kernel_id": "4583940"}, {"ref": "lskr802/exercise-machine-learning-competitions", "kernel_id": "4291998"}, {"ref": "irwlz31/exercise-machine-learning-competitions", "kernel_id": "4276121"}, {"ref": "anveshbaru/exercise-machine-learning-competitions", "kernel_id": "4825087"}, {"ref": "snakeeye/exercise-machine-learning-competitions", "kernel_id": "4319561"}, {"ref": "zmcddn/exercise-introduction", "kernel_id": "4383818"}, {"ref": "gunishj/exercise-introduction", "kernel_id": "4690522"}, {"ref": "gunishj/machineunderfitting-and-overfitting", "kernel_id": "4621972"}, {"ref": "gunishj/my-first-basic-machine-learning-model", "kernel_id": "4621251"}, {"ref": "gunishj/machine-learning-model-validation", "kernel_id": "4621631"}, {"ref": "gunishj/machine-learning-random-forests-exercise", "kernel_id": "4622222"}, {"ref": "gunishj/exercise-machine-learning-competitions", "kernel_id": "4622572"}, {"ref": "gunishj/python-basic-data-exploration", "kernel_id": "4608013"}, {"ref": "gunishj/exercise-data-leakage", "kernel_id": "4570207"}, {"ref": "gunishj/exercise-xgboost", "kernel_id": "4570208"}, {"ref": "gunishj/categorical-variables-using-label-onehot-encoding", "kernel_id": "4701257"}, {"ref": "gunishj/exercise-missing-values", "kernel_id": "4693536"}, {"ref": "gunishj/exercise-cross-validation", "kernel_id": "4709686"}, {"ref": "gunishj/ml-pipelines-and-tranformers", "kernel_id": "4709106"}, {"ref": "caoyihutang/exercise-missing-values", "kernel_id": "4687152"}, {"ref": "caoyihutang/exercise-introduction", "kernel_id": "4675352"}, {"ref": "caoyihutang/exercise-categorical-variables", "kernel_id": "4822231"}, {"ref": "caoyihutang/exercise-cross-validation", "kernel_id": "4859475"}, {"ref": "caoyihutang/exercise-pipelines", "kernel_id": "4856759"}, {"ref": "adamurban98/exercise-machine-learning-competitions", "kernel_id": "4973114"}, {"ref": "rajdeep123/exercise-machine-learning-competitions", "kernel_id": "4699863"}, {"ref": "mahendrabishnoi2/exercise-your-first-machine-learning-model", "kernel_id": "4998876"}, {"ref": "dbhagesh/exercise-xgboost", "kernel_id": "4547177"}, {"ref": "mj1213/exercise-machine-learning-competitions", "kernel_id": "4039638"}, {"ref": "abiesprocera/exercise-machine-learning-competitions", "kernel_id": "4811241"}, {"ref": "joaofelix/exercise-machine-learning-competitions", "kernel_id": "4331536"}, {"ref": "gokulnish/housing-prices-competition-final", "kernel_id": "4039827"}, {"ref": "aeromateen/housing-prices-kaggle-competition", "kernel_id": "4470315"}, {"ref": "sergeyudin/exercise-machine-learning-competitions", "kernel_id": "4419974"}, {"ref": "sergeyudin/exercise-introduction", "kernel_id": "4478656"}, {"ref": "fferrero/exercise-xgboost", "kernel_id": "4693505"}, {"ref": "kartikathale/exercise-machine-learning-competitions", "kernel_id": "4331851"}, {"ref": "kartikathale/exercise-underfitting-and-overfitting", "kernel_id": "4326912"}, {"ref": "maramsofyan94/exercise-introduction", "kernel_id": "4270325"}, {"ref": "adihalbe/exercise-your-first-machine-learning-model", "kernel_id": "4775138"}, {"ref": "khairoo/exercise-your-first-machine-learning-model", "kernel_id": "4088254"}, {"ref": "enthogenesis/exercise-xgboost", "kernel_id": "4283901"}, {"ref": "shivanikushwaha/exercise-machine-learning-competitions", "kernel_id": "4611517"}, {"ref": "sasankav/exercise-introduction", "kernel_id": "4619610"}, {"ref": "armistice/exercise-basic-data-exploration", "kernel_id": "4636828"}, {"ref": "itamargr/intermediate-machine-learning-final-exercise", "kernel_id": "4341931"}, {"ref": "matkaz31/exercise-machine-learning-competitions", "kernel_id": "4804919"}, {"ref": "yunchentsai/exercise-model-validation", "kernel_id": "4653384"}, {"ref": "yunchentsai/exercise-random-forests", "kernel_id": "4655186"}, {"ref": "plasmagen/exercise-machine-learning-competitions", "kernel_id": "4429034"}, {"ref": "kunalchamoli/housing-price", "kernel_id": "4701739"}, {"ref": "kunalchamoli/final-version", "kernel_id": "4700832"}, {"ref": "kunalchamoli/exercise-missing-values", "kernel_id": "4640498"}, {"ref": "kunalchamoli/exercise-underfitting-and-overfitting", "kernel_id": "4344246"}, {"ref": "rahulllkumarrr/exercise-machine-learning-competitions", "kernel_id": "4124841"}, {"ref": "jpap1021/exercise-underfitting-and-overfitting", "kernel_id": "4281832"}, {"ref": "jpap1021/exercise-model-validation", "kernel_id": "4266884"}, {"ref": "kuntalchoudhury/exercise-machine-learning-competitions", "kernel_id": "4479195"}, {"ref": "halahassouna/kernel1a4fa56dc5", "kernel_id": "4810506"}, {"ref": "halahassouna/exercise-underfitting-and-overfitting", "kernel_id": "4813012"}, {"ref": "halahassouna/exercise-your-first-machine-learning-model", "kernel_id": "4798904"}, {"ref": "bhuvanaka/exercise-categorical-variables", "kernel_id": "4973082"}, {"ref": "bhuvanaka/exercise-machine-learning-competitions", "kernel_id": "4680726"}, {"ref": "anirudh221/exercise-machine-learning-competitions", "kernel_id": "4588987"}, {"ref": "anirudh221/exercise-introduction", "kernel_id": "4624368"}, {"ref": "kkolymago/exercise-machine-learning-competitions", "kernel_id": "4173988"}, {"ref": "z1280219009/exercise-missing-values", "kernel_id": "4303894"}, {"ref": "z1280219009/exercise-categorical-variables", "kernel_id": "4306161"}, {"ref": "z1280219009/exercise-pipelines", "kernel_id": "4318778"}, {"ref": "z1280219009/exercise-introduction", "kernel_id": "4286265"}, {"ref": "harithag554/housing-prices-non-parametric-regression", "kernel_id": "4147600"}, {"ref": "izackt83/exercise-introduction", "kernel_id": "4318755"}, {"ref": "iicyan/exercise-machine-learning-competitions", "kernel_id": "4223582"}, {"ref": "kushagragusain/exercise-machine-learning-competitions", "kernel_id": "4989718"}, {"ref": "kushagragusain/exercise-random-forests", "kernel_id": "4989799"}, {"ref": "pranavanshu/exercise-random-forests", "kernel_id": "4325681"}, {"ref": "akki2503/exercise-machine-learning-competitions", "kernel_id": "4391588"}, {"ref": "abhsishek/exercise-introduction", "kernel_id": "4685236"}, {"ref": "abhsishek/exercise-missing-values", "kernel_id": "4685407"}, {"ref": "abhsishek/exercise-random-forests", "kernel_id": "4685034"}, {"ref": "abhsishek/exercise-machine-learning-competitions", "kernel_id": "4685122"}, {"ref": "abhsishek/exercise-basic-data-exploration", "kernel_id": "4673482"}, {"ref": "abhsishek/exercise-your-first-machine-learning-model", "kernel_id": "4673270"}, {"ref": "abhsishek/exercise-model-validation", "kernel_id": "4673975"}, {"ref": "abhsishek/exercise-underfitting-and-overfitting", "kernel_id": "4674288"}, {"ref": "ekaraseva/exercise-introduction", "kernel_id": "4262655"}, {"ref": "jameswhitemay/exercise-model-validation", "kernel_id": "4774775"}, {"ref": "jameswhitemay/exercise-machine-learning-competitions", "kernel_id": "4776451"}, {"ref": "chetansh/exercise-missing-values", "kernel_id": "4523715"}, {"ref": "kushagrarastogi/exercise-introduction", "kernel_id": "4541158"}, {"ref": "favitor/exercise-machine-learning-competitions", "kernel_id": "4755101"}, {"ref": "cbaskin/exercise-introduction", "kernel_id": "4952251"}, {"ref": "vgaint/exercise-machine-learning-competitions", "kernel_id": "4691033"}, {"ref": "swanasaurus/exercise-introduction", "kernel_id": "4644192"}, {"ref": "gipark2001/machine-learning-model-kyung-ik", "kernel_id": "4667076"}, {"ref": "gipark2001/random-forests-kyung-ik", "kernel_id": "4667095"}, {"ref": "gipark2001/exercise-machine-learning-competitions", "kernel_id": "4762513"}, {"ref": "gipark2001/underfitting-and-overfitting-kyung-ik", "kernel_id": "4760271"}, {"ref": "gipark2001/model-validation-kyung-ik", "kernel_id": "4759595"}, {"ref": "gipark2001/exercise-missing-values", "kernel_id": "4819901"}, {"ref": "gipark2001/exercise-introduction", "kernel_id": "4819067"}, {"ref": "gipark2001/exercise-pipelines", "kernel_id": "4854386"}, {"ref": "gipark2001/exercise-cross-validation", "kernel_id": "4855075"}, {"ref": "gipark2001/exercise-xgboost", "kernel_id": "4856952"}, {"ref": "gipark2001/exercise-categorical-variables", "kernel_id": "4837309"}, {"ref": "gazlevodiva/exercise-machine-learning-competitions", "kernel_id": "4563823"}, {"ref": "romanpukh/exercise-underfitting-and-overfitting", "kernel_id": "4143819"}, {"ref": "romanpukh/exercise-random-forests", "kernel_id": "4145423"}, {"ref": "romanpukh/exercise-machine-learning-competitions", "kernel_id": "4145531"}, {"ref": "romanpukh/exercise-your-first-machine-learning-model", "kernel_id": "4131684"}, {"ref": "romanpukh/exercise-data-leakage", "kernel_id": "4173912"}, {"ref": "romanpukh/exercise-xgboost", "kernel_id": "4173239"}, {"ref": "romanpukh/exercise-cross-validation", "kernel_id": "4171751"}, {"ref": "romanpukh/exercise-pipelines", "kernel_id": "4171411"}, {"ref": "romanpukh/exercise-missing-values", "kernel_id": "4168905"}, {"ref": "romanpukh/exercise-categorical-variables", "kernel_id": "4170376"}, {"ref": "romanpukh/exercise-introduction", "kernel_id": "4157734"}, {"ref": "kongminh113/exercise-machine-learning-competitions", "kernel_id": "4956439"}, {"ref": "frek818/exercise-machine-learning-competitions", "kernel_id": "4583537"}, {"ref": "izzatzr/exercise-your-first-machine-learning-model", "kernel_id": "4801757"}, {"ref": "saeed1992/exercise-introduction", "kernel_id": "4951451"}, {"ref": "skywalker0803/exercise-machine-learning-competitions", "kernel_id": "4932207"}, {"ref": "i0dimensions/exercise-random-forests", "kernel_id": "4985193"}, {"ref": "vitorquintella/pipelines-cv-xgboost", "kernel_id": "4506944"}, {"ref": "vitorquintella/exercise-your-first-machine-learning-model", "kernel_id": "4089327"}, {"ref": "pp704554/exercise-machine-learning-competitions", "kernel_id": "4999096"}, {"ref": "surananitish/exercise-missing-values-014f66", "kernel_id": "4864566"}, {"ref": "surananitish/exercise-machine-learning-competitions", "kernel_id": "4848981"}, {"ref": "surananitish/exercise-random-forests", "kernel_id": "4848809"}, {"ref": "oguzkoroglu/exercise-introduction", "kernel_id": "4241138"}, {"ref": "sandeepksb/exercise-machine-learning-competitions", "kernel_id": "4897237"}, {"ref": "sankusu/exercise-machine-learning-competitions", "kernel_id": "4016599"}, {"ref": "yyzz1010/exercise-your-first-machine-learning-model", "kernel_id": "4917729"}, {"ref": "datauma/exercise-model-validation", "kernel_id": "4667333"}, {"ref": "datauma/exercise-your-first-machine-learning-model", "kernel_id": "4667070"}, {"ref": "datauma/exercise-introduction", "kernel_id": "4674310"}, {"ref": "datauma/exercise-underfitting-and-overfitting", "kernel_id": "4671681"}, {"ref": "datauma/exercise-random-forests", "kernel_id": "4673171"}, {"ref": "datauma/exercise-missing-values", "kernel_id": "4679017"}, {"ref": "datauma/exercise-xgboost", "kernel_id": "4764799"}, {"ref": "datauma/exercise-cross-validation", "kernel_id": "4762564"}, {"ref": "datauma/exercise-pipelines", "kernel_id": "4762116"}, {"ref": "datauma/exercise-categorical-variables", "kernel_id": "4713286"}, {"ref": "hughzhangcy/exercise-cross-validation", "kernel_id": "4056256"}, {"ref": "hughzhangcy/exercise-pipelines", "kernel_id": "4049236"}, {"ref": "hughzhangcy/exercise-missing-values", "kernel_id": "4006974"}, {"ref": "hughzhangcy/exercise-categorical-variables", "kernel_id": "4027083"}, {"ref": "hughzhangcy/exercise-xgboost", "kernel_id": "4092170"}, {"ref": "hughzhangcy/exercise-data-leakage", "kernel_id": "4103254"}, {"ref": "abhisek5in/exercise-introduction", "kernel_id": "4765772"}, {"ref": "chitpant/exercise-introduction", "kernel_id": "4727735"}, {"ref": "trebuh/exercise-random-forests", "kernel_id": "4349916"}, {"ref": "trebuh/exercise-machine-learning-competitions", "kernel_id": "4350047"}, {"ref": "thehandler/my-first-machine-learning-model", "kernel_id": "4989256"}, {"ref": "zhangzl/exercise-machine-learning-competitions", "kernel_id": "4412120"}, {"ref": "vynychenkoa/house-price-prediction-final-kernel", "kernel_id": "4657412"}, {"ref": "swordcross/exercise-introduction", "kernel_id": "4229797"}, {"ref": "sachinkp007/exercise-basic-data-exploration", "kernel_id": "4241493"}, {"ref": "sachinkp007/exercise-your-first-machine-learning-model", "kernel_id": "4241627"}, {"ref": "saurabh7ag/exercise-machine-learning-competitions", "kernel_id": "4044708"}, {"ref": "chileta/exercise-introduction", "kernel_id": "4895832"}, {"ref": "chileta/exercise-random-forests", "kernel_id": "4879354"}, {"ref": "chileta/exercise-underfitting-and-overfitting", "kernel_id": "4879109"}, {"ref": "chileta/exercise-model-validation", "kernel_id": "4847550"}, {"ref": "chileta/exercise-your-first-machine-learning-model", "kernel_id": "4846752"}, {"ref": "mrluirl/top-2-generalizing-the-best-of-public-kernels", "kernel_id": "4551693"}, {"ref": "khiwila/exercise-machine-learning-competitions", "kernel_id": "4017330"}, {"ref": "maheshkeerthi/exercise-model-validation", "kernel_id": "4483170"}, {"ref": "maheshkeerthi/exercise-your-first-machine-learning-model", "kernel_id": "4482808"}, {"ref": "maheshkeerthi/exercise-underfitting-and-overfitting", "kernel_id": "4853183"}, {"ref": "maheshkeerthi/exercise-machine-learning-competitions", "kernel_id": "4879997"}, {"ref": "maheshkeerthi/exercise-basic-data-exploration", "kernel_id": "4700256"}, {"ref": "mohammadalice/exercise-machine-learning-competitions", "kernel_id": "4646231"}, {"ref": "daveaditya/exercise-random-forests", "kernel_id": "4444602"}, {"ref": "gerwynng/hp-lgbm-rbg-xgb-svr-lasso-blend", "kernel_id": "4349246"}, {"ref": "lodestar/exercise-introduction", "kernel_id": "4175775"}, {"ref": "lodestar/exercise-missing-values", "kernel_id": "4178241"}, {"ref": "raiz0pro/first-model", "kernel_id": "4458768"}, {"ref": "arunkumishra/exercise-categorical-variables", "kernel_id": "4259675"}, {"ref": "arunkumishra/ames-housing-prices-prediction-kaggle-learn", "kernel_id": "4342078"}, {"ref": "dagarshali/exercise-introduction", "kernel_id": "4260104"}, {"ref": "zioalex/exercise-machine-learning-competitions", "kernel_id": "4291376"}, {"ref": "sanketsebastian/exercise-machine-learning-competitions", "kernel_id": "4088870"}, {"ref": "abhishekkohli27/exercise-xgboost", "kernel_id": "4002907"}, {"ref": "harikanaidu/exercise-machine-learning-competitions", "kernel_id": "4335038"}, {"ref": "ssri1983/exercise-machine-learning-competitions", "kernel_id": "4753831"}, {"ref": "iamshubhamdangare/exercise-introduction", "kernel_id": "4356164"}, {"ref": "machinetalk/exercise-machine-learning-competitions", "kernel_id": "4759354"}, {"ref": "tanishqsngl/exercise-machine-learning-competitions", "kernel_id": "4314358"}, {"ref": "omubarak/exercise-underfitting-and-overfitting", "kernel_id": "4294389"}, {"ref": "omubarak/exercise-random-forests", "kernel_id": "4295321"}, {"ref": "amirzachar/exercise-introduction", "kernel_id": "4385634"}, {"ref": "meenakshinadimuthu/exercise-basic-data-exploration", "kernel_id": "4319569"}, {"ref": "meenakshinadimuthu/exercise-underfitting-and-overfitting", "kernel_id": "4319826"}, {"ref": "meenakshinadimuthu/exercise-model-validation", "kernel_id": "4317701"}, {"ref": "meenakshinadimuthu/exercise-your-first-machine-learning-model", "kernel_id": "4317404"}, {"ref": "meenakshinadimuthu/exercise-random-forests", "kernel_id": "4320056"}, {"ref": "meenakshinadimuthu/exercise-machine-learning-competitions", "kernel_id": "4320087"}, {"ref": "leifuer/exercise-introduction", "kernel_id": "4868974"}, {"ref": "leifuer/exercise-random-forests-ba5ee9", "kernel_id": "4304741"}, {"ref": "leifuer/exercise-underfitting-and-overfitting", "kernel_id": "4304487"}, {"ref": "leifuer/exercise-model-validation", "kernel_id": "4304173"}, {"ref": "leifuer/exercise-your-first-machine-learning-model", "kernel_id": "4303898"}, {"ref": "leifuer/exercise-basic-data-exploration", "kernel_id": "4303848"}, {"ref": "shanushaan/exercise-machine-learning-competitions", "kernel_id": "4093325"}, {"ref": "jrudd27/exercise-missing-values", "kernel_id": "4375781"}, {"ref": "guofengzhao/exercise-machine-learning-competitions", "kernel_id": "4394502"}, {"ref": "electron4000/exercise-machine-learning-competitions", "kernel_id": "4839692"}, {"ref": "akshaysunku/kernela10e22b3eb", "kernel_id": "4181128"}, {"ref": "olgadabiprashad/exercise-missing-values", "kernel_id": "4310488"}, {"ref": "olgadabiprashad/exercise-random-forests", "kernel_id": "4298016"}, {"ref": "olgadabiprashad/exercise-underfitting-and-overfitting", "kernel_id": "4296993"}, {"ref": "marcelocunhampc/exercise-underfitting-and-overfitting", "kernel_id": "4922718"}, {"ref": "zawmyowin/exercise-machine-learning-competitions", "kernel_id": "4488844"}, {"ref": "changwon/exercise-machine-learning-competitions", "kernel_id": "4114865"}, {"ref": "houlifelonglearner/exercise-machine-learning-competitions", "kernel_id": "4916554"}, {"ref": "sachinkunwar/exercise-machine-learning-competitions", "kernel_id": "4035622"}, {"ref": "tsinodeh/exercise-model-validation", "kernel_id": "4271778"}, {"ref": "amitbalwani/exercise-introduction", "kernel_id": "4409528"}, {"ref": "random1k11/exercise-introduction", "kernel_id": "4221249"}, {"ref": "jrnhofman/top-4-with-xgboost", "kernel_id": "4643589"}, {"ref": "pulkit29/exercise-machine-learning-competitions", "kernel_id": "4447172"}, {"ref": "minegazioglu/exercise-cross-validation", "kernel_id": "4568289"}, {"ref": "minegazioglu/exercise-pipelines", "kernel_id": "4568006"}, {"ref": "minegazioglu/exercise-introduction", "kernel_id": "4559701"}, {"ref": "minegazioglu/exercise-missing-values", "kernel_id": "4560719"}, {"ref": "marciocosta/exercise-machine-learning-competitions", "kernel_id": "4660649"}, {"ref": "karan650/exercise-machine-learning-competitions", "kernel_id": "4241361"}, {"ref": "realhotmezz/exercise-introduction", "kernel_id": "4462385"}, {"ref": "lasylasna/exercise-machine-learning-competitions", "kernel_id": "4247774"}, {"ref": "hyunsooandrewryu/kernel54e4f3e527", "kernel_id": "4702088"}, {"ref": "sujoysar/exercise-basic-data-exploration", "kernel_id": "4924016"}, {"ref": "sujoysar/exercise-your-first-machine-learning-model", "kernel_id": "4924017"}, {"ref": "riyan14/exercise-introduction", "kernel_id": "4982622"}, {"ref": "randhirjaiswal/exercise-introduction", "kernel_id": "4097933"}, {"ref": "nhatvinhvo/exercise-categorical-variables", "kernel_id": "4532162"}, {"ref": "blacksome/exercise-machine-learning-competitions", "kernel_id": "4932331"}, {"ref": "smilingchandra/exercise-machine-learning-competitions-check", "kernel_id": "4000329"}, {"ref": "bhavani404/exercise-machine-learning-competitions", "kernel_id": "4477434"}, {"ref": "buzzpriyav/exercise-machine-learning-competitions", "kernel_id": "4415917"}, {"ref": "paulacalmon/exercise-your-first-machine-learning-model", "kernel_id": "4053999"}, {"ref": "chenli235/exercise-machine-learning-competitions", "kernel_id": "4000890"}, {"ref": "jjbachiller/exercise-missing-values", "kernel_id": "4069903"}, {"ref": "sjaimephd/exercise-introduction", "kernel_id": "4754701"}, {"ref": "cuil09/exercise-machine-learning-competitions", "kernel_id": "4176237"}, {"ref": "wardzj08/exercise-machine-learning-competitions", "kernel_id": "4088838"}, {"ref": "wardzj08/exercise-introduction", "kernel_id": "4089001"}, {"ref": "fgraft/exercise-pipelines", "kernel_id": "4206205"}, {"ref": "michaelscheinfeilda/exercise-missing-values", "kernel_id": "4243894"}, {"ref": "michaelscheinfeilda/exercise-categorical-variables", "kernel_id": "4716812"}, {"ref": "rswapnil/exercise-machine-learning-competitions", "kernel_id": "4300423"}, {"ref": "abhinavsp0730/exercise-machine-learning-competitions", "kernel_id": "4702263"}, {"ref": "ingridx/exercise-machine-learning-competitions", "kernel_id": "4774762"}, {"ref": "ingridx/exercise-pipelines", "kernel_id": "4804595"}, {"ref": "ingridx/exercise-categorical-variables", "kernel_id": "4801863"}, {"ref": "datamrodrigo/exercise-random-forests", "kernel_id": "4239578"}, {"ref": "datamrodrigo/exercise-underfitting-and-overfitting", "kernel_id": "4176440"}, {"ref": "datamrodrigo/exercise-missing-values", "kernel_id": "4282483"}, {"ref": "datamrodrigo/exercise-introduction", "kernel_id": "4281695"}, {"ref": "ujjwalk906/exercise-introduction", "kernel_id": "4009171"}, {"ref": "stevep101/new-base-code", "kernel_id": "4308787"}, {"ref": "oasenbesitzer/exercise-machine-learning-competitions", "kernel_id": "4097801"}, {"ref": "sethuratnaanbuvinoth/exercise-your-first-machine-learning-model", "kernel_id": "4190436"}, {"ref": "sethuratnaanbuvinoth/exercise-basic-data-exploration", "kernel_id": "4190244"}, {"ref": "sethuratnaanbuvinoth/exercise-model-validation", "kernel_id": "4190732"}, {"ref": "peraktong/20190608-house-price", "kernel_id": "4203285"}, {"ref": "ruqiyas/your-first-machine-learning-model", "kernel_id": "4085302"}, {"ref": "tonnystark01/exercise-underfitting-and-overfitting", "kernel_id": "4219368"}, {"ref": "jogden4195/exercise-introduction", "kernel_id": "4039441"}, {"ref": "sahilmakandar/exercise-machine-learning-competitions", "kernel_id": "4056421"}, {"ref": "iamshirdi/exercise-basic-data-exploration-daily", "kernel_id": "4057382"}, {"ref": "iamshirdi/exercise-your-first-machine-learning-model-daily", "kernel_id": "4088058"}, {"ref": "iamshirdi/exercise-model-validation-daily", "kernel_id": "4103384"}, {"ref": "iamshirdi/exercise-underfitting-and-overfitting-daily", "kernel_id": "4177813"}, {"ref": "jamesallan626/exercise-basic-data-exploration-daily", "kernel_id": "4089084"}, {"ref": "jamesallan626/exercise-your-first-machine-learning-model-daily", "kernel_id": "4326367"}, {"ref": "jamesallan626/exercise-model-validation-daily", "kernel_id": "4327092"}, {"ref": "jamesallan626/exercise-underfitting-and-overfitting-daily", "kernel_id": "4327666"}, {"ref": "jamesallan626/exercise-random-forests-daily", "kernel_id": "4328077"}, {"ref": "rvangorp/exercise-machine-learning-competitions", "kernel_id": "4763204"}, {"ref": "attilavarga/exercise-machine-learning-competitions", "kernel_id": "4879393"}, {"ref": "efriesema/exercise-machine-learning-competitions", "kernel_id": "4193602"}, {"ref": "zurikanka/exercise-introduction", "kernel_id": "4071060"}, {"ref": "sammyd123/exercise-basic-data-exploration", "kernel_id": "4535969"}, {"ref": "crklausenburg/exercise-introduction", "kernel_id": "4753066"}, {"ref": "crklausenburg/exercise-underfitting-and-overfitting", "kernel_id": "4726659"}, {"ref": "crklausenburg/exercise-random-forests", "kernel_id": "4726845"}, {"ref": "crklausenburg/exercise-machine-learning-competitions", "kernel_id": "4726888"}, {"ref": "crklausenburg/exercise-model-validation", "kernel_id": "4720625"}, {"ref": "crklausenburg/exercise-basic-data-exploration", "kernel_id": "4719743"}, {"ref": "crklausenburg/exercise-your-first-machine-learning-model", "kernel_id": "4720354"}, {"ref": "crklausenburg/exercise-categorical-variables", "kernel_id": "4796173"}, {"ref": "crklausenburg/exercise-cross-validation", "kernel_id": "4813052"}, {"ref": "crklausenburg/exercise-pipelines", "kernel_id": "4812122"}, {"ref": "crklausenburg/exercise-missing-values", "kernel_id": "4769733"}, {"ref": "crklausenburg/exercise-xgboost", "kernel_id": "4840208"}, {"ref": "crklausenburg/exercise-data-leakage", "kernel_id": "4841014"}, {"ref": "gray8ed/first-kaggle-competiton-non-programmer", "kernel_id": "4894500"}, {"ref": "dataproductmanager/exercise-missing-values", "kernel_id": "4529223"}, {"ref": "dataproductmanager/exercise-introduction", "kernel_id": "4528513"}, {"ref": "dataproductmanager/exercise-your-first-machine-learning-model", "kernel_id": "4295898"}, {"ref": "dataproductmanager/exercise-basic-data-exploration", "kernel_id": "4294923"}, {"ref": "dataproductmanager/exercise-model-validation", "kernel_id": "4333516"}, {"ref": "dataproductmanager/exercise-random-forests", "kernel_id": "4364936"}, {"ref": "dataproductmanager/exercise-machine-learning-competitions", "kernel_id": "4365119"}, {"ref": "dataproductmanager/exercise-underfitting-and-overfitting", "kernel_id": "4353742"}, {"ref": "dataproductmanager/exercise-pipelines", "kernel_id": "4625855"}, {"ref": "ajaykumar1805/exercise-machine-learning-competitions", "kernel_id": "4859519"}, {"ref": "modihere/kernel873f426415", "kernel_id": "4127356"}, {"ref": "deantrbl/exercise-machine-learning-competitions", "kernel_id": "4151170"}, {"ref": "rashmibhave/exercise-machine-learning-competitions", "kernel_id": "4325214"}, {"ref": "udaysingh17/exercise-introduction", "kernel_id": "4688222"}, {"ref": "moresushil/first-submission", "kernel_id": "4961377"}, {"ref": "hide420/exercise-introduction", "kernel_id": "4351171"}, {"ref": "fellipesilva/exercise-xgboost", "kernel_id": "4636474"}, {"ref": "vishalbh85/exercise-introduction", "kernel_id": "4952561"}, {"ref": "vishalbh85/exercise-missing-values", "kernel_id": "4955437"}, {"ref": "vishalbh85/exercise-categorical-variables", "kernel_id": "4986619"}, {"ref": "gonz8088/exercise-machine-learning-competitions", "kernel_id": "4279744"}, {"ref": "calven/exercise-your-first-machine-learning-model", "kernel_id": "4221656"}, {"ref": "calven/exercise-model-validation", "kernel_id": "4224650"}, {"ref": "calven/exercise-underfitting-and-overfitting", "kernel_id": "4719965"}, {"ref": "anastasia484/exercise-cross-validation", "kernel_id": "4992160"}, {"ref": "kabeersingh/exercise-introduction", "kernel_id": "4993342"}, {"ref": "kabeersingh/exercise-model-validation", "kernel_id": "4960342"}, {"ref": "kabeersingh/exercise-underfitting-and-overfitting", "kernel_id": "4960455"}, {"ref": "kabeersingh/exercise-random-forests", "kernel_id": "4960548"}, {"ref": "kabeersingh/exercise-your-first-machine-learning-model", "kernel_id": "4944992"}, {"ref": "sudeepam97/introduction-to-kaggle-and-ml", "kernel_id": "4558956"}, {"ref": "yashovardhan99/housing-prices-competition-submission", "kernel_id": "4261608"}, {"ref": "ommmishra/exercise-machine-learning-competitions", "kernel_id": "4391481"}, {"ref": "joshapoorva/exercise-machine-learning-competitions", "kernel_id": "4997312"}, {"ref": "akarippu/exercise-xgboost", "kernel_id": "4678066"}, {"ref": "samhitas/kernelc673ebbadb", "kernel_id": "4329788"}, {"ref": "linzaoluoch/exercise-machine-learning-competitions", "kernel_id": "4979310"}, {"ref": "bladebing/exercise-introduction", "kernel_id": "4772813"}, {"ref": "ykebed12/exercise-machine-learning-competitions", "kernel_id": "4370942"}, {"ref": "pashkoanton/exercise-model-validation", "kernel_id": "4377848"}, {"ref": "pashkoanton/exercise-your-first-machine-learning-model", "kernel_id": "4357861"}, {"ref": "wenxin615/exercise-machine-learning-competitions", "kernel_id": "4405687"}, {"ref": "natalyap4elka/exercise-missing-values", "kernel_id": "4698416"}, {"ref": "chiraggodaw/learn-machine-learning-1st-competition", "kernel_id": "4406344"}, {"ref": "ejgao2018/exercise-introduction", "kernel_id": "4488452"}, {"ref": "meetbhanu/exercise-machine-learning-competitions", "kernel_id": "4511819"}, {"ref": "yashjain0333/kernela623c8a4a9", "kernel_id": "4632419"}, {"ref": "kderesz/exercise-machine-learning-competitions", "kernel_id": "4804945"}, {"ref": "laligave/exercise-machine-learning-competitions", "kernel_id": "4911876"}, {"ref": "kefahaied/exercise-model-validation", "kernel_id": "4811193"}, {"ref": "kefahaied/exercise-underfitting-and-overfitting", "kernel_id": "4813005"}, {"ref": "kefahaied/exercise-your-first-machine-learning-model", "kernel_id": "4798994"}, {"ref": "datamine21/exercise-machine-learning-competitions", "kernel_id": "4648171"}, {"ref": "celestialbeing/house-price-prediction-kernel-basic", "kernel_id": "4542294"}, {"ref": "celestialbeing/reusable-func-pipelines-cv-xgboost-basic", "kernel_id": "4640784"}, {"ref": "celestialbeing/data-cleansing-techniques-mae-scoring-basic", "kernel_id": "4621864"}, {"ref": "ronron2003/exercise-machine-learning-competitions", "kernel_id": "4975190"}, {"ref": "enesbaspinar0/exercise-machine-learning-competitions", "kernel_id": "4792770"}, {"ref": "rahmatisina/exercise-machine-learning-competitions", "kernel_id": "4553036"}, {"ref": "robsontenorio/exercise-introduction", "kernel_id": "4741249"}, {"ref": "pooka96/exercise-machine-learning-competitions", "kernel_id": "4645981"}, {"ref": "aamiralam/exercise-machine-learning-competitions", "kernel_id": "4906853"}, {"ref": "saurabh80/exercise-machine-learning-competitions-daily", "kernel_id": "4884587"}, {"ref": "amashkovtsev/exercise-categorical-variables", "kernel_id": "4900827"}, {"ref": "amashkovtsev/exercise-pipelines", "kernel_id": "4901157"}, {"ref": "amashkovtsev/fork-of-exercise-categorical-variables", "kernel_id": "4901100"}, {"ref": "amashkovtsev/exercise-cross-validation", "kernel_id": "4901599"}, {"ref": "amashkovtsev/exercise-xgboost", "kernel_id": "4901991"}, {"ref": "amashkovtsev/exercise-data-leakage", "kernel_id": "4902240"}, {"ref": "amashkovtsev/exercise-missing-values", "kernel_id": "4867569"}, {"ref": "amashkovtsev/exercise-introduction", "kernel_id": "4664738"}, {"ref": "amashkovtsev/exercise-machine-learning-competitions-daily", "kernel_id": "4664495"}, {"ref": "amashkovtsev/exercise-random-forests-daily", "kernel_id": "4664423"}, {"ref": "amashkovtsev/exercise-basic-data-exploration-daily", "kernel_id": "4577256"}, {"ref": "amashkovtsev/exercise-underfitting-and-overfitting-daily", "kernel_id": "4585681"}, {"ref": "amashkovtsev/exercise-model-validation-daily", "kernel_id": "4584608"}, {"ref": "amashkovtsev/exercise-your-first-machine-learning-model-daily", "kernel_id": "4584478"}, {"ref": "manuelortega/exercise-introduction", "kernel_id": "4596386"}, {"ref": "ahmedjarada/exercise-basic-data-exploration", "kernel_id": "4699245"}, {"ref": "ahmedjarada/exercise-your-first-machine-learning-model", "kernel_id": "4700246"}, {"ref": "ahmedjarada/exercise-random-forests", "kernel_id": "4746212"}, {"ref": "ahmedjarada/exercise-underfitting-and-overfitting", "kernel_id": "4730584"}, {"ref": "ahmedjarada/exercise-model-validation", "kernel_id": "4728658"}, {"ref": "ahmedjarada/exercise-machine-learning-competitions", "kernel_id": "4828865"}, {"ref": "aditisingh2362/exercise-machine-learning-competitions", "kernel_id": "4686169"}, {"ref": "architd/exercise-machine-learning-competitions", "kernel_id": "4702053"}, {"ref": "usama000/exercise-your-first-machine-learning-model", "kernel_id": "4670356"}, {"ref": "ettoremaiorana/exercise-machine-learning-competitions", "kernel_id": "4755463"}, {"ref": "mohamedalhawi/exercise-your-first-machine-learning-model", "kernel_id": "4700083"}, {"ref": "mohamedalhawi/exercise-model-validation", "kernel_id": "4729439"}, {"ref": "mohamedalhawi/exercise-underfitting-and-overfitting", "kernel_id": "4730693"}, {"ref": "mohamedalhawi/exercise-random-forests", "kernel_id": "4811454"}, {"ref": "mohamedalhawi/exercise-machine-learning-competitions", "kernel_id": "4800479"}, {"ref": "gadeer/exercise-pipelines", "kernel_id": "4839005"}, {"ref": "gadeer/exercise-data-leakage", "kernel_id": "4841848"}, {"ref": "gadeer/exercise-cross-validation", "kernel_id": "4839818"}, {"ref": "gadeer/exercise-introduction", "kernel_id": "4797994"}, {"ref": "gadeer/exercise-categorical-variables", "kernel_id": "4809506"}, {"ref": "gadeer/exercise-machine-learning-competitions", "kernel_id": "4778536"}, {"ref": "gadeer/exercise-random-forests", "kernel_id": "4765917"}, {"ref": "gadeer/exercise-underfitting-and-overfitting", "kernel_id": "4730574"}, {"ref": "gadeer/exercise-model-validation", "kernel_id": "4728936"}, {"ref": "gadeer/exercise-basic-data-exploration", "kernel_id": "4699308"}, {"ref": "gadeer/exercise-your-first-machine-learning-model", "kernel_id": "4700252"}, {"ref": "haniash/exercise-your-first-machine-learning-model", "kernel_id": "4700255"}, {"ref": "haniash/exercise-underfitting-and-overfitting", "kernel_id": "4730602"}, {"ref": "haniash/exercise-model-validation", "kernel_id": "4728339"}, {"ref": "haniash/exercise-random-forests", "kernel_id": "4744428"}, {"ref": "haniash/exercise-machine-learning-competitions", "kernel_id": "4744623"}, {"ref": "haniash/exercise-categorical-variables", "kernel_id": "4809494"}, {"ref": "haniash/exercise-introduction", "kernel_id": "4805145"}, {"ref": "haniash/exercise-cross-validation", "kernel_id": "4839804"}, {"ref": "haniash/exercise-data-leakage", "kernel_id": "4841792"}, {"ref": "medhatalathmna/exercise-underfitting-and-overfitting", "kernel_id": "4730610"}, {"ref": "medhatalathmna/exercise-basic-data-exploration", "kernel_id": "4699249"}, {"ref": "medhatalathmna/exercise-your-first-machine-learning-model", "kernel_id": "4700358"}, {"ref": "mohkar99/exercise-your-first-machine-learning-model", "kernel_id": "4700240"}, {"ref": "mohkar99/exercise-basic-data-exploration", "kernel_id": "4699196"}, {"ref": "mohkar99/exercise-model-validation", "kernel_id": "4729032"}, {"ref": "mohkar99/exercise-underfitting-and-overfitting", "kernel_id": "4729929"}, {"ref": "mohkar99/exercise-categorical-variables", "kernel_id": "4809573"}, {"ref": "mohkar99/exercise-introduction", "kernel_id": "4809189"}, {"ref": "mohkar99/exercise-missing-values", "kernel_id": "4809191"}, {"ref": "mohkar99/exercise-random-forests", "kernel_id": "4799658"}, {"ref": "mohkar99/exercise-machine-learning-competitions", "kernel_id": "4799669"}, {"ref": "mohkar99/exercise-cross-validation", "kernel_id": "4839819"}, {"ref": "mohkar99/exercise-pipelines", "kernel_id": "4915053"}, {"ref": "mohkar99/exercise-xgboost", "kernel_id": "4915069"}, {"ref": "mohkar99/exercise-data-leakage", "kernel_id": "4915099"}, {"ref": "shamshassan/exercise-pipelines", "kernel_id": "4852726"}, {"ref": "shamshassan/exercise-cross-validation", "kernel_id": "4852738"}, {"ref": "shamshassan/exercise-data-leakage", "kernel_id": "4852742"}, {"ref": "shamshassan/exercise-categorical-variables", "kernel_id": "4809496"}, {"ref": "shamshassan/exercise-random-forests", "kernel_id": "4770144"}, {"ref": "shamshassan/exercise-model-validation", "kernel_id": "4728947"}, {"ref": "shamshassan/exercise-machine-learning-competitions", "kernel_id": "4744441"}, {"ref": "shamshassan/exercise-basic-data-exploration", "kernel_id": "4699138"}, {"ref": "shamshassan/exercise-your-first-machine-learning-model", "kernel_id": "4700276"}, {"ref": "tanushreeunakal/exercise-machine-learning-competitions", "kernel_id": "4700188"}, {"ref": "adhamhaisami/exercise-model-validation", "kernel_id": "4728949"}, {"ref": "najimousa/exercise-your-first-machine-learning-model", "kernel_id": "4700317"}, {"ref": "najimousa/exercise-basic-data-exploration", "kernel_id": "4699532"}, {"ref": "najimousa/exercise-introduction", "kernel_id": "4747081"}, {"ref": "najimousa/exercise-model-validation", "kernel_id": "4785307"}, {"ref": "najimousa/exercise-categorical-variables", "kernel_id": "4809651"}, {"ref": "najimousa/exercise-missing-values", "kernel_id": "4822461"}, {"ref": "najimousa/exercise-underfitting-and-overfitting", "kernel_id": "4796937"}, {"ref": "najimousa/exercise-random-forests", "kernel_id": "4797649"}, {"ref": "najimousa/exercise-machine-learning-competitions", "kernel_id": "4797821"}, {"ref": "osamaramadan98/exercise-model-validation", "kernel_id": "4728942"}, {"ref": "osamaramadan98/exercise-underfitting-and-overfitting", "kernel_id": "4730582"}, {"ref": "emanalajrami/exercise-cross-validation", "kernel_id": "4839277"}, {"ref": "emanalajrami/exercise-data-leakage", "kernel_id": "4841845"}, {"ref": "emanalajrami/exercise-your-first-machine-learning-model", "kernel_id": "4700265"}, {"ref": "emanalajrami/exercise-basic-data-exploration", "kernel_id": "4699210"}, {"ref": "emanalajrami/exercise-model-validation", "kernel_id": "4728880"}, {"ref": "emanalajrami/exercise-underfitting-and-overfitting", "kernel_id": "4729812"}, {"ref": "emanalajrami/exercise-missing-values", "kernel_id": "4747394"}, {"ref": "emanalajrami/exercise-machine-learning-competitions", "kernel_id": "4744450"}, {"ref": "emanalajrami/exercise-random-forests", "kernel_id": "4776739"}, {"ref": "emanalajrami/exercise-categorical-variables", "kernel_id": "4809495"}, {"ref": "ameenashaheen/exercise-underfitting-and-overfitting", "kernel_id": "4730579"}, {"ref": "ameenashaheen/exercise-model-validation", "kernel_id": "4728946"}, {"ref": "ameenashaheen/exercise-basic-data-exploration", "kernel_id": "4710779"}, {"ref": "ameenashaheen/exercise-your-first-machine-learning-model", "kernel_id": "4713532"}, {"ref": "ameenashaheen/exercise-machine-learning-competitions", "kernel_id": "4776808"}, {"ref": "ameenashaheen/exercise-random-forests", "kernel_id": "4777153"}, {"ref": "ameenashaheen/exercise-pipelines", "kernel_id": "4942586"}, {"ref": "ameenashaheen/exercise-categorical-variables", "kernel_id": "4932933"}, {"ref": "ameenashaheen/exercise-missing-values", "kernel_id": "4906908"}, {"ref": "ameenashaheen/exercise-introduction", "kernel_id": "4906411"}, {"ref": "ameenashaheen/exercise-cross-validation", "kernel_id": "4839806"}, {"ref": "yosefalmohtaseb/exercise-basic-data-exploration", "kernel_id": "4699213"}, {"ref": "yosefalmohtaseb/exercise-your-first-machine-learning-model", "kernel_id": "4700262"}, {"ref": "yosefalmohtaseb/exercise-underfitting-and-overfitting", "kernel_id": "4729821"}, {"ref": "yosefalmohtaseb/exercise-model-validation", "kernel_id": "4728968"}, {"ref": "yosefalmohtaseb/exercise-random-forests", "kernel_id": "4816123"}, {"ref": "yosefalmohtaseb/exercise-cross-validation", "kernel_id": "4839611"}, {"ref": "yosefalmohtaseb/exercise-data-leakage", "kernel_id": "4841893"}, {"ref": "shathanaami/exercise-missing-values", "kernel_id": "4830656"}, {"ref": "shathanaami/exercise-introduction", "kernel_id": "4830570"}, {"ref": "shathanaami/exercise-pipelines", "kernel_id": "4838644"}, {"ref": "shathanaami/exercise-data-leakage", "kernel_id": "4841808"}, {"ref": "shathanaami/exercise-cross-validation", "kernel_id": "4839811"}, {"ref": "shathanaami/exercise-xgboost", "kernel_id": "4913683"}, {"ref": "shathanaami/exercise-categorical-variables", "kernel_id": "4809524"}, {"ref": "shathanaami/exercise-random-forests", "kernel_id": "4784984"}, {"ref": "shathanaami/exercise-model-validation", "kernel_id": "4728943"}, {"ref": "shathanaami/exercise-underfitting-and-overfitting", "kernel_id": "4730576"}, {"ref": "shathanaami/exercise-machine-learning-competitions", "kernel_id": "4744618"}, {"ref": "shathanaami/exercise-your-first-machine-learning-model", "kernel_id": "4700244"}, {"ref": "shathanaami/exercise-basic-data-exploration", "kernel_id": "4699201"}, {"ref": "nournateel/exercise-basic-data-exploration", "kernel_id": "4699195"}, {"ref": "nournateel/exercise-your-first-machine-learning-model", "kernel_id": "4700260"}, {"ref": "nournateel/exercise-underfitting-and-overfitting", "kernel_id": "4730592"}, {"ref": "nournateel/exercise-model-validation", "kernel_id": "4728675"}, {"ref": "nournateel/exercise-random-forests", "kernel_id": "4785532"}, {"ref": "nournateel/exercise-machine-learning-competitions", "kernel_id": "4808825"}, {"ref": "nournateel/exercise-categorical-variables", "kernel_id": "4809459"}, {"ref": "nournateel/exercise-pipelines", "kernel_id": "4913003"}, {"ref": "nournateel/exercise-xgboost", "kernel_id": "4913024"}, {"ref": "nournateel/exercise-missing-values", "kernel_id": "4912949"}, {"ref": "nournateel/exercise-introduction", "kernel_id": "4912914"}, {"ref": "nournateel/exercise-cross-validation", "kernel_id": "4839803"}, {"ref": "modiganm/exercise-data-leakage", "kernel_id": "4841816"}, {"ref": "modiganm/kernel7e245b55a0", "kernel_id": "4812324"}, {"ref": "modiganm/kernel88f849092b", "kernel_id": "4729228"}, {"ref": "modiganm/kernelbebf0e420d", "kernel_id": "4744937"}, {"ref": "modiganm/exercise-your-first-machine-learning-model", "kernel_id": "4700136"}, {"ref": "modiganm/exercise-machine-learning-competitions", "kernel_id": "4700219"}, {"ref": "saisudheer/exercise-machine-learning-competitions", "kernel_id": "4737983"}, {"ref": "zufarzaripov/exercise-categorical-variables", "kernel_id": "4748168"}, {"ref": "zufarzaripov/exercise-missing-values", "kernel_id": "4732376"}, {"ref": "zufarzaripov/exercise-underfitting-and-overfitting", "kernel_id": "4730530"}, {"ref": "zufarzaripov/exercise-introduction", "kernel_id": "4731263"}, {"ref": "zufarzaripov/exercise-machine-learning-competitions", "kernel_id": "4731043"}, {"ref": "zufarzaripov/exercise-random-forests", "kernel_id": "4730917"}, {"ref": "zufarzaripov/exercise-model-validation", "kernel_id": "4722791"}, {"ref": "zufarzaripov/exercise-your-first-machine-learning-model", "kernel_id": "4722280"}, {"ref": "zufarzaripov/exercise-cross-validation", "kernel_id": "4986191"}, {"ref": "zufarzaripov/exercise-pipelines", "kernel_id": "4973586"}, {"ref": "alexdconf/exercise-machine-learning-competitions", "kernel_id": "4889448"}, {"ref": "ahmadmajde/exercise-underfitting-and-overfitting", "kernel_id": "4730961"}, {"ref": "ahmadmajde/exercise-your-first-machine-learning-model", "kernel_id": "4729319"}, {"ref": "ahmadmajde/exercise-model-validation", "kernel_id": "4728959"}, {"ref": "ahmadmajde/exercise-random-forests", "kernel_id": "4802905"}, {"ref": "ahmadmajde/exercise-cross-validation", "kernel_id": "4839852"}, {"ref": "icewyrmling/exercise-machine-learning-competitions", "kernel_id": "4845278"}, {"ref": "ranaalnajjar/exercise-basic-data-exploration", "kernel_id": "4765036"}, {"ref": "ranaalnajjar/exercise-your-first-machine-learning-model", "kernel_id": "4766699"}, {"ref": "ranaalnajjar/exercise-categorical-variables", "kernel_id": "4809518"}, {"ref": "ranaalnajjar/exercise-underfitting-and-overfitting", "kernel_id": "4802894"}, {"ref": "haricharanbk/exercise-machine-learning-competitions", "kernel_id": "4808877"}, {"ref": "haweh595/exercise-categorical-variables", "kernel_id": "4947643"}, {"ref": "mapre123/exercise-machine-learning-competitions", "kernel_id": "4936520"}, {"ref": "mapre123/exercise-introduction", "kernel_id": "4985174"}, {"ref": "heatblaster/exercise-machine-learning-competitions", "kernel_id": "4860550"}, {"ref": "jonatantibarovsky/exercise-machine-learning-competitions", "kernel_id": "4762248"}, {"ref": "sharmashubhi5/exercise-machine-learning-competitions", "kernel_id": "4854746"}, {"ref": "hongmingzhang/exercise-your-first-machine-learning-model", "kernel_id": "4776733"}, {"ref": "hongmingzhang/exercise-model-validation", "kernel_id": "4776978"}, {"ref": "hongmingzhang/exercise-underfitting-and-overfitting", "kernel_id": "4800015"}, {"ref": "swieke/exercise-machine-learning-competitions", "kernel_id": "4932769"}, {"ref": "imaadullah/exercise-machine-learning-competitions", "kernel_id": "4803507"}, {"ref": "yoon11088/exercise-machine-learning-competitions", "kernel_id": "4822481"}, {"ref": "bwheat/exercise-machine-learning-competitions", "kernel_id": "4859702"}, {"ref": "jozdien/ai-workshop-part-ii-task", "kernel_id": "4974705"}, {"ref": "kimgjohnwu/exercise-machine-learning-competitions", "kernel_id": "4927986"}, {"ref": "ankuralwar/exercise-machine-learning-competitions", "kernel_id": "4894729"}, {"ref": "kocmac/exercise-machine-learning-competitions", "kernel_id": "4925576"}, {"ref": "bhaskarkishor/exercise-introduction", "kernel_id": "4989405"}, {"ref": "priya1165/exercise-introduction", "kernel_id": "4991348"}, {"ref": "debasis7/exercise-machine-learning-competitions", "kernel_id": "5353380"}, {"ref": "ppujari/exercise-xgboost", "kernel_id": "5950562"}, {"ref": "suryavanshi/exercise-machine-learning-competitions", "kernel_id": "5322840"}, {"ref": "andrewdouglas0/exercise-machine-learning-competitions", "kernel_id": "5341120"}, {"ref": "sinaasappel/house-prices-eda", "kernel_id": "5286009"}, {"ref": "ryati131457/exercise-introduction", "kernel_id": "5891383"}, {"ref": "jahaziel/exercise-machine-learning-competitions", "kernel_id": "5099087"}, {"ref": "ebyfield/exercise-your-first-machine-learning-model-daily", "kernel_id": "5116939"}, {"ref": "analystpd/exercise-machine-learning-competitions", "kernel_id": "5404665"}, {"ref": "tanmayb/exercise-machine-learning-competitions", "kernel_id": "5410922"}, {"ref": "avicoder/exercise-model-validation", "kernel_id": "5709243"}, {"ref": "avicoder/exercise-random-forests", "kernel_id": "5710111"}, {"ref": "avicoder/exercise-machine-learning-competitions", "kernel_id": "5710136"}, {"ref": "avicoder/exercise-underfitting-and-overfitting", "kernel_id": "5709975"}, {"ref": "avicoder/exercise-your-first-machine-learning-model", "kernel_id": "5581431"}, {"ref": "thomasmce/exercise-machine-learning-competitions", "kernel_id": "5406336"}, {"ref": "lokeshbt/exercise-machine-learning-competitions", "kernel_id": "5348105"}, {"ref": "adsar0/exercise-missing-values", "kernel_id": "5165691"}, {"ref": "xwolf12/exercise-random-forests", "kernel_id": "5463801"}, {"ref": "xwolf12/exercise-your-first-machine-learning-model", "kernel_id": "5363323"}, {"ref": "xwolf12/exercise-model-validation", "kernel_id": "5363472"}, {"ref": "xwolf12/exercise-basic-data-exploration", "kernel_id": "5338345"}, {"ref": "xwolf12/exercise-underfitting-and-overfitting", "kernel_id": "5373679"}, {"ref": "manideephv/exercise-machine-learning-competitions", "kernel_id": "5214691"}, {"ref": "andrejanysa/exercise-machine-learning-competitions", "kernel_id": "5342290"}, {"ref": "akalankag/exercise-machine-learning-competitions", "kernel_id": "5357423"}, {"ref": "prakashbarri/exercise-machine-learning-competitions", "kernel_id": "5399504"}, {"ref": "jruiz82/exercise-machine-learning-competitions", "kernel_id": "5065807"}, {"ref": "jruiz82/exercise-data-leakage", "kernel_id": "5099370"}, {"ref": "sekhar101/rf-optimized", "kernel_id": "5589011"}, {"ref": "parthasarathi009/exercise-machine-learning-competitions", "kernel_id": "5108405"}, {"ref": "svrcek/exercise-missing-values", "kernel_id": "5206095"}, {"ref": "maxpylypovych/exercise-basic-data-exploration", "kernel_id": "5264818"}, {"ref": "ranjithpals/exercise-machine-learning-competitions", "kernel_id": "5467281"}, {"ref": "kimmeyh/exercise-machine-learning-competitions", "kernel_id": "5071245"}, {"ref": "zupepoto/little-modifications-from-kaggle-exercises-top", "kernel_id": "5893987"}, {"ref": "hsinwenchang/exercise-random-forests", "kernel_id": "5171943"}, {"ref": "hsinwenchang/exercise-data-leakage", "kernel_id": "5172024"}, {"ref": "deba0621/exercise-machine-learning-competitions", "kernel_id": "5284517"}, {"ref": "rshome/exercise-machine-learning-competitions", "kernel_id": "5365448"}, {"ref": "carlosmar/exercise-machine-learning-competitions", "kernel_id": "5317044"}, {"ref": "thesarfaraz/exercise-pipelines", "kernel_id": "5514077"}, {"ref": "thesarfaraz/exercise-cross-validation", "kernel_id": "5549559"}, {"ref": "kushkul24/high-dimensional-xgboost", "kernel_id": "5743810"}, {"ref": "kushkul24/using-pipelines", "kernel_id": "5562680"}, {"ref": "kushkul24/cross-validation", "kernel_id": "5569766"}, {"ref": "kushkul24/exercise-missing-values", "kernel_id": "5526049"}, {"ref": "kushkul24/categorical-variables-label-and-oh-encoding", "kernel_id": "5528308"}, {"ref": "kushkul24/model-validation", "kernel_id": "5374615"}, {"ref": "kushkul24/random-forests", "kernel_id": "5374905"}, {"ref": "kushkul24/underfitting-and-overfitting", "kernel_id": "5374798"}, {"ref": "cbajomo/exercise-machine-learning-competitions", "kernel_id": "5375713"}, {"ref": "efejiroe/exercise-machine-learning-competitions", "kernel_id": "5600894"}, {"ref": "kajaldas007/exercise-pipelines", "kernel_id": "5617177"}, {"ref": "madhatter13/exercise-machine-learning-competitions", "kernel_id": "5576867"}, {"ref": "ourique/exercise-categorical-variables", "kernel_id": "5215630"}, {"ref": "ourique/exercise-missing-values", "kernel_id": "5160579"}, {"ref": "boostik/kernel6c96b8fa72", "kernel_id": "5760662"}, {"ref": "mksaad/exercise-cross-validation", "kernel_id": "5356514"}, {"ref": "mksaad/exercise-pipelines-intermediate-ml", "kernel_id": "5352309"}, {"ref": "mksaad/exercise-xgboost", "kernel_id": "5364023"}, {"ref": "mksaad/exercise-xgboost-grid-search", "kernel_id": "5410707"}, {"ref": "xiliang0815/exercise-missing-values", "kernel_id": "5213432"}, {"ref": "missile2016hi/exercise-introduction", "kernel_id": "5953144"}, {"ref": "missile2016hi/exercise-categorical-variables", "kernel_id": "5968002"}, {"ref": "arpadthetall/exercise-machine-learning-competitions", "kernel_id": "5404594"}, {"ref": "arpadthetall/exercise-introduction", "kernel_id": "5421828"}, {"ref": "raghunitb/exercise-machine-learning-competitions", "kernel_id": "5367003"}, {"ref": "evimarp/exercise-pipelines", "kernel_id": "5258728"}, {"ref": "evimarp/exercise-basic-data-exploration", "kernel_id": "5244533"}, {"ref": "evimarp/exercise-introduction", "kernel_id": "5081535"}, {"ref": "evimarp/exercise-missing-values", "kernel_id": "5082446"}, {"ref": "jerrydowetin/exercise-model-validation", "kernel_id": "5501011"}, {"ref": "jerrydowetin/exercise-random-forests", "kernel_id": "5517432"}, {"ref": "jerrydowetin/exercise-underfitting-and-overfitting", "kernel_id": "5517087"}, {"ref": "jerrydowetin/exercise-machine-learning-competitions", "kernel_id": "5517646"}, {"ref": "jerrydowetin/exercise-your-first-machine-learning-model", "kernel_id": "5455393"}, {"ref": "pnvijay/exercise-basic-data-exploration", "kernel_id": "5250158"}, {"ref": "habibmrad1983/exercise-data-leakage", "kernel_id": "5710325"}, {"ref": "habibmrad1983/exercise-missing-values", "kernel_id": "5688659"}, {"ref": "habibmrad1983/exercise-introduction", "kernel_id": "5687363"}, {"ref": "habibmrad1983/exercise-cross-validation", "kernel_id": "5697792"}, {"ref": "habibmrad1983/exercise-xgboost", "kernel_id": "5698587"}, {"ref": "habibmrad1983/exercise-pipelines", "kernel_id": "5694397"}, {"ref": "habibmrad1983/exercise-categorical-variables", "kernel_id": "5692313"}, {"ref": "okwyezeme/exercise-pipelines", "kernel_id": "5410386"}, {"ref": "okwyezeme/exercise-categorical-variables", "kernel_id": "5406332"}, {"ref": "okwyezeme/exercise-xgboost", "kernel_id": "5428619"}, {"ref": "okwyezeme/exercise-cross-validation", "kernel_id": "5427585"}, {"ref": "erkand/exercise-machine-learning-competitions", "kernel_id": "5302053"}, {"ref": "maomao16/exercise-your-first-machine-learning-model", "kernel_id": "5151406"}, {"ref": "maomao16/exercise-model-validation", "kernel_id": "5151558"}, {"ref": "maomao16/exercise-underfitting-and-overfitting", "kernel_id": "5151646"}, {"ref": "maomao16/exercise-random-forests", "kernel_id": "5151763"}, {"ref": "gauresh/exercise-random-forests", "kernel_id": "5087841"}, {"ref": "gauresh/exercise-underfitting-and-overfitting", "kernel_id": "5068931"}, {"ref": "manjeetsingh/exercise-basic-data-exploration", "kernel_id": "5324084"}, {"ref": "fredkoseiadu/exercise-underfitting-and-overfitting", "kernel_id": "5150762"}, {"ref": "ramizassaf/exercise-machine-learning-competitions", "kernel_id": "5471672"}, {"ref": "gauravtanwar03/exercise-machine-learning-competitions", "kernel_id": "5315488"}, {"ref": "petarpoznic/exercise-machine-learning-competitions", "kernel_id": "5077214"}, {"ref": "nikitoshka/exercise-machine-learning-competitions", "kernel_id": "5828674"}, {"ref": "koogly/exercise-missing-values", "kernel_id": "5878766"}, {"ref": "koogly/exercise-machine-learning-competitions", "kernel_id": "5416165"}, {"ref": "umarmunir/exercise-machine-learning-competitions", "kernel_id": "5064861"}, {"ref": "ysuhaib/exercise-machine-learning-competitions", "kernel_id": "5079140"}, {"ref": "blaine12100/categorical-variables-intermediate-ml", "kernel_id": "5144628"}, {"ref": "blaine12100/missing-values-intermediate-ml", "kernel_id": "5143120"}, {"ref": "blaine12100/introduction-intermediate-ml", "kernel_id": "5142888"}, {"ref": "blaine12100/random-forests-intro-to-ml", "kernel_id": "5131093"}, {"ref": "blaine12100/underfitting-and-overfitting-intro-to-ml", "kernel_id": "5130930"}, {"ref": "blaine12100/your-first-machine-learning-model-intro-ml", "kernel_id": "5107211"}, {"ref": "blaine12100/model-validation-intro-into-ml", "kernel_id": "5107893"}, {"ref": "blaine12100/pipelines-intermediate-ml", "kernel_id": "5158924"}, {"ref": "blaine12100/cross-validation-intermediate-ml", "kernel_id": "5160849"}, {"ref": "blaine12100/xgboost-intermediate-ml", "kernel_id": "5161271"}, {"ref": "lzy112/exercise-machine-learning-competitions", "kernel_id": "5863790"}, {"ref": "cllio17/exercise-missing-values", "kernel_id": "5268045"}, {"ref": "coderhook/exercise-machine-learning-competitions", "kernel_id": "5834321"}, {"ref": "josemerlin/exercise-machine-learning-competitions", "kernel_id": "5607554"}, {"ref": "bignollo/exercise-machine-learning-competitions", "kernel_id": "5594904"}, {"ref": "arhouati/my-alogorithm-for-house-s-prices-prediction", "kernel_id": "5534706"}, {"ref": "vijayasarathib/exercise-missing-values", "kernel_id": "5341761"}, {"ref": "sonarshalaka/exercise-machine-learning-competitions", "kernel_id": "5744613"}, {"ref": "purusothaman/exercise-machine-learning-competitions", "kernel_id": "5367238"}, {"ref": "nischallal/exercise-model-validation", "kernel_id": "5328194"}, {"ref": "gsdeepakkumar/exercise-categorical-variables", "kernel_id": "5364465"}, {"ref": "talamb/exercise-machine-learning-competitions", "kernel_id": "5992418"}, {"ref": "grapestone5321/housing-prices-submission", "kernel_id": "5076654"}, {"ref": "fourbic/exercise-4-random-forests", "kernel_id": "5186835"}, {"ref": "fourbic/exercise-3-model-validation", "kernel_id": "5171509"}, {"ref": "fourbic/exercise-machine-learning-model", "kernel_id": "5171139"}, {"ref": "fourbic/exercise-5-ml-housing-solution", "kernel_id": "5203180"}, {"ref": "fourbic/exercise-1-basic-data-exploration", "kernel_id": "5118589"}, {"ref": "devoiten/kernela57ecb8eb4", "kernel_id": "5327162"}, {"ref": "patmcdonald/exercise-random-forests", "kernel_id": "5076443"}, {"ref": "patmcdonald/exercise-machine-learning-competitions", "kernel_id": "5076622"}, {"ref": "patmcdonald/exercise-underfitting-and-overfitting", "kernel_id": "5054279"}, {"ref": "kiradas/exercise-machine-learning-competitions", "kernel_id": "5344137"}, {"ref": "sandhaya4u/exercise-machine-learning-competitions", "kernel_id": "5818655"}, {"ref": "sandhaya4u/exercise-model-validation", "kernel_id": "5812658"}, {"ref": "sandhaya4u/exercise-your-first-machine-learning-model", "kernel_id": "5812159"}, {"ref": "vikasviki/exercise-your-first-machine-learning-model", "kernel_id": "5885145"}, {"ref": "vikasviki/exercise-underfitting-and-overfitting", "kernel_id": "5930127"}, {"ref": "vikasviki/exercise-model-validation", "kernel_id": "5928891"}, {"ref": "vikasviki/exercise-machine-learning-competitions", "kernel_id": "5931209"}, {"ref": "vikasviki/exercise-random-forests", "kernel_id": "5931136"}, {"ref": "diskandar69/exercise-categorical-variables", "kernel_id": "5085892"}, {"ref": "diskandar69/exercise-xgboost-pipelines", "kernel_id": "5283712"}, {"ref": "diskandar69/exercise-basic-data-exploration", "kernel_id": "5244909"}, {"ref": "diskandar69/exercise-cross-validation", "kernel_id": "5400154"}, {"ref": "diskandar69/exercise-data-leakage", "kernel_id": "5407719"}, {"ref": "diskandar69/exercise-xgboost", "kernel_id": "5402799"}, {"ref": "ashkash/exercise-machine-learning-competitions", "kernel_id": "5359441"}, {"ref": "sabupjoseph/exercise-introduction", "kernel_id": "5440558"}, {"ref": "sabupjoseph/exercise-random-forests", "kernel_id": "5356153"}, {"ref": "sabupjoseph/exercise-underfitting-and-overfitting", "kernel_id": "5354881"}, {"ref": "sabupjoseph/exercise-model-validation", "kernel_id": "5354096"}, {"ref": "mugisha/exercise-machine-learning-competitions", "kernel_id": "5667958"}, {"ref": "rajesharasada/exercise-missing-values", "kernel_id": "5356699"}, {"ref": "sanikamal/exercise-pipelines", "kernel_id": "5387771"}, {"ref": "sanikamal/exercise-missing-values", "kernel_id": "5387299"}, {"ref": "sanikamal/exercise-your-first-machine-learning-model", "kernel_id": "5368030"}, {"ref": "sanikamal/exercise-categorical-variables", "kernel_id": "5090053"}, {"ref": "sanikamal/exercise-introduction", "kernel_id": "5089560"}, {"ref": "sanikamal/exercise-xgboost", "kernel_id": "5228915"}, {"ref": "sanikamal/exercise-data-leakage", "kernel_id": "5157988"}, {"ref": "brucemwarren/exercise-your-first-machine-learning-model", "kernel_id": "5300508"}, {"ref": "brucemwarren/exercise-basic-data-exploration", "kernel_id": "5315470"}, {"ref": "brucemwarren/exercise-model-validation", "kernel_id": "5316394"}, {"ref": "brucemwarren/exercise-machine-learning-competitions", "kernel_id": "5318995"}, {"ref": "brucemwarren/exercise-underfitting-and-overfitting", "kernel_id": "5318550"}, {"ref": "brucemwarren/exercise-random-forests", "kernel_id": "5318930"}, {"ref": "alexanderdbooth/exercise-xgboost", "kernel_id": "5725473"}, {"ref": "alexanderdbooth/exercise-data-leakage", "kernel_id": "5725533"}, {"ref": "alexanderdbooth/exercise-missing-values", "kernel_id": "5725030"}, {"ref": "alexanderdbooth/exercise-cross-validation", "kernel_id": "5725368"}, {"ref": "alexanderdbooth/exercise-underfitting-and-overfitting", "kernel_id": "5724722"}, {"ref": "alexanderdbooth/exercise-your-first-machine-learning-model", "kernel_id": "5724478"}, {"ref": "alexanderdbooth/exercise-categorical-variables", "kernel_id": "5725201"}, {"ref": "alexanderdbooth/exercise-pipelines", "kernel_id": "5725282"}, {"ref": "alexanderdbooth/exercise-random-forests", "kernel_id": "5724754"}, {"ref": "alexanderdbooth/exercise-model-validation", "kernel_id": "5724540"}, {"ref": "alexanderdbooth/exercise-introduction", "kernel_id": "5725007"}, {"ref": "harunshimanto/exercise-machine-learning-competitions", "kernel_id": "5411924"}, {"ref": "operte/xgboost-optimization-intermediate-course", "kernel_id": "5731741"}, {"ref": "gossetjr/exercise-machine-learning-competitions", "kernel_id": "5389336"}, {"ref": "yashukang/exercise-your-first-machine-learning-model", "kernel_id": "5069667"}, {"ref": "yashukang/exercise-machine-learning-competitions", "kernel_id": "5070488"}, {"ref": "ahayek84/exercise-introduction", "kernel_id": "5169244"}, {"ref": "ahayek84/exercise-machine-learning-competitions", "kernel_id": "5073427"}, {"ref": "ahayek84/exercise-xgboost", "kernel_id": "5366664"}, {"ref": "ahayek84/exercise-cross-validation", "kernel_id": "5365736"}, {"ref": "ahayek84/exercise-pipelines", "kernel_id": "5365148"}, {"ref": "ahayek84/exercise-xgboost-grid-search", "kernel_id": "5428623"}, {"ref": "ahayek84/exercise-data-leakage", "kernel_id": "5424732"}, {"ref": "abeerabuzayed/exercise-cross-validation", "kernel_id": "5364792"}, {"ref": "abeerabuzayed/exercise-pipelines", "kernel_id": "5365154"}, {"ref": "abeerabuzayed/exercise-xgboost", "kernel_id": "5366657"}, {"ref": "abeerabuzayed/exercise-data-leakage", "kernel_id": "5393650"}, {"ref": "abeerabuzayed/exercise-categorical-variables", "kernel_id": "5203218"}, {"ref": "abeerabuzayed/exercise-introduction", "kernel_id": "5169150"}, {"ref": "abeerabuzayed/exercise-missing-values", "kernel_id": "5169566"}, {"ref": "abeerabuzayed/exercise-basic-data-exploration", "kernel_id": "5065934"}, {"ref": "abeerabuzayed/exercise-underfitting-and-overfitting", "kernel_id": "5036022"}, {"ref": "abeerabuzayed/exercise-model-validation", "kernel_id": "5035686"}, {"ref": "abeerabuzayed/exercise-your-first-machine-learning-model", "kernel_id": "5011375"}, {"ref": "abeerabuzayed/exercise-machine-learning-competitions", "kernel_id": "5073239"}, {"ref": "abeerabuzayed/exercise-random-forests", "kernel_id": "5073015"}, {"ref": "hkuzhkuz/exercise-basic-data-exploration", "kernel_id": "5200564"}, {"ref": "zmcddn/exercise-data-leakage", "kernel_id": "5449170"}, {"ref": "zmcddn/exercise-xgboost", "kernel_id": "5448806"}, {"ref": "zmcddn/exercise-pipelines", "kernel_id": "5428055"}, {"ref": "zmcddn/exercise-cross-validation", "kernel_id": "5428479"}, {"ref": "zmcddn/exercise-categorical-variables", "kernel_id": "5411424"}, {"ref": "zmcddn/exercise-missing-values", "kernel_id": "5410872"}, {"ref": "anu0703shree/exercise-model-validation", "kernel_id": "5420129"}, {"ref": "anu0703shree/exercise-underfitting-and-overfitting", "kernel_id": "5420466"}, {"ref": "anu0703shree/exercise-random-forests", "kernel_id": "5420604"}, {"ref": "anu0703shree/exercise-machine-learning-competitions", "kernel_id": "5420659"}, {"ref": "anu0703shree/exercise-your-first-machine-learning-model", "kernel_id": "5419823"}, {"ref": "anu0703shree/exercise-categorical-variables", "kernel_id": "5669251"}, {"ref": "anu0703shree/exercise-introduction", "kernel_id": "5665622"}, {"ref": "anu0703shree/exercise-missing-values", "kernel_id": "5667577"}, {"ref": "zetashift/exercise-machine-learning-competitions", "kernel_id": "5182369"}, {"ref": "abhisheaksoni/exercise-machine-learning-competitions", "kernel_id": "5326078"}, {"ref": "emil207/exercise-machine-learning-competitions", "kernel_id": "5646562"}, {"ref": "arjunsinghrathod/exercise-machine-learning-competitions", "kernel_id": "5936294"}, {"ref": "granpecador/exercise-machine-learning-competitions", "kernel_id": "5434097"}, {"ref": "sxuanjing/exercise-introduction", "kernel_id": "5128665"}, {"ref": "sxuanjing/exercise-missing-values", "kernel_id": "5141319"}, {"ref": "sxuanjing/exercise-pipelines", "kernel_id": "5201167"}, {"ref": "sxuanjing/exercise-cross-validation", "kernel_id": "5209900"}, {"ref": "sxuanjing/exercise-categorical-variables", "kernel_id": "5186892"}, {"ref": "sxuanjing/exercise-xgboost", "kernel_id": "5250601"}, {"ref": "sxuanjing/exercise-data-leakage", "kernel_id": "5255679"}, {"ref": "jawaharrajan/exercise-machine-learning-competitions", "kernel_id": "5330135"}, {"ref": "mahendrabishnoi2/exercise-cross-validation", "kernel_id": "5079746"}, {"ref": "mahendrabishnoi2/exercise-pipelines", "kernel_id": "5073965"}, {"ref": "mahendrabishnoi2/exercise-data-leakage", "kernel_id": "5096707"}, {"ref": "mahendrabishnoi2/exercise-xgboost", "kernel_id": "5094576"}, {"ref": "mahendrabishnoi2/exercise-missing-values", "kernel_id": "5035181"}, {"ref": "mahendrabishnoi2/exercise-introduction", "kernel_id": "5034730"}, {"ref": "mahendrabishnoi2/exercise-underfitting-and-overfitting", "kernel_id": "5007773"}, {"ref": "mahendrabishnoi2/exercise-random-forests", "kernel_id": "5007860"}, {"ref": "mahendrabishnoi2/exercise-machine-learning-competitions", "kernel_id": "5007888"}, {"ref": "mahendrabishnoi2/exercise-model-validation", "kernel_id": "5000381"}, {"ref": "raju136/exercise-introduction", "kernel_id": "5085592"}, {"ref": "mayvid/exercise-underfitting-and-overfitting", "kernel_id": "5498306"}, {"ref": "mayvid/exercise-missing-values", "kernel_id": "5592671"}, {"ref": "mayvid/exercise-introduction", "kernel_id": "5591181"}, {"ref": "dreamatworksnow/exercise-machine-learning-competitions", "kernel_id": "5401500"}, {"ref": "tanjaradovic/exercise-machine-learning-competitions", "kernel_id": "5123131"}, {"ref": "alanor/exercise-random-forests", "kernel_id": "5588852"}, {"ref": "alanor/exercise-your-first-machine-learning-model", "kernel_id": "5505781"}, {"ref": "alanor/exercise-model-validation", "kernel_id": "5505918"}, {"ref": "alanor/exercise-underfitting-and-overfitting", "kernel_id": "5516960"}, {"ref": "alanor/exercise-introduction", "kernel_id": "5617887"}, {"ref": "alanor/exercise-categorical-variables", "kernel_id": "5622141"}, {"ref": "hvydsnetworks/exercise-machine-learning-competitions", "kernel_id": "5327990"}, {"ref": "enggomaa/exercise-xgboost", "kernel_id": "5319776"}, {"ref": "enggomaa/exercise-missing-values", "kernel_id": "5097860"}, {"ref": "enggomaa/exercise-introduction", "kernel_id": "5096858"}, {"ref": "enggomaa/exercise-machine-learning-competitions", "kernel_id": "5084339"}, {"ref": "enggomaa/exercise-underfitting-and-overfitting", "kernel_id": "5082854"}, {"ref": "enggomaa/exercise-model-validation", "kernel_id": "5080926"}, {"ref": "enggomaa/exercise-basic-data-exploration", "kernel_id": "5077197"}, {"ref": "enggomaa/exercise-cross-validation", "kernel_id": "5227476"}, {"ref": "enggomaa/exercise-categorical-variables", "kernel_id": "5222005"}, {"ref": "enggomaa/exercise-pipelines", "kernel_id": "5223509"}, {"ref": "dhonysilva/exercise-machine-learning-competitions", "kernel_id": "5865011"}, {"ref": "johanvillaume/exercise-machine-learning-competitions", "kernel_id": "5161240"}, {"ref": "ashwini97/exercise-underfitting-and-overfitting", "kernel_id": "5379703"}, {"ref": "ashwini97/exercise-model-validation", "kernel_id": "5372604"}, {"ref": "ashwini97/exercise-random-forests", "kernel_id": "5411895"}, {"ref": "ashwini97/exercise-your-first-machine-learning-model", "kernel_id": "5366463"}, {"ref": "bsoltani/exercise-machine-learning-competitions", "kernel_id": "5278603"}, {"ref": "taurtk123/exercise-model-validation", "kernel_id": "5838532"}, {"ref": "taurtk123/exercise-underfitting-and-overfitting", "kernel_id": "5842020"}, {"ref": "taurtk123/exercise-random-forests", "kernel_id": "5848115"}, {"ref": "taurtk123/exercise-machine-learning-competitions", "kernel_id": "5848202"}, {"ref": "taurtk123/exercise-introduction", "kernel_id": "5871177"}, {"ref": "taurtk123/exercise-missing-values", "kernel_id": "5872613"}, {"ref": "kunalkawad/exercise-machine-learning-competitions", "kernel_id": "5367717"}, {"ref": "amir22010/exercise-underfitting-and-overfitting", "kernel_id": "5150376"}, {"ref": "amir22010/exercise-random-forests", "kernel_id": "5150639"}, {"ref": "amir22010/exercise-your-first-machine-learning-model", "kernel_id": "5150071"}, {"ref": "amir22010/exercise-model-validation", "kernel_id": "5150196"}, {"ref": "amir22010/exercise-machine-learning-competitions", "kernel_id": "5150718"}, {"ref": "jyoticd/exercise-random-forests", "kernel_id": "5133663"}, {"ref": "jyoticd/exercise-machine-learning-competitions", "kernel_id": "5133758"}, {"ref": "zchowdhury/exercise-machine-learning-competitions", "kernel_id": "5388246"}, {"ref": "elblanco/exercise-machine-learning-competitions", "kernel_id": "5794377"}, {"ref": "elblanco/exercise-missing-values", "kernel_id": "5756503"}, {"ref": "samiul28csedu/exercise-categorical-variables", "kernel_id": "5371928"}, {"ref": "samiul28csedu/exercise-machine-learning-competitions", "kernel_id": "5228074"}, {"ref": "magdylaban/exercise-your-first-machine-learning-model", "kernel_id": "5748820"}, {"ref": "magdylaban/exercise-machine-learning-competitions", "kernel_id": "5762298"}, {"ref": "sakuratomoyou/exercise-machine-learning-competitions", "kernel_id": "5148677"}, {"ref": "rnt0704/exercise-your-first-machine-learning-model", "kernel_id": "5213467"}, {"ref": "rnt0704/exercise-random-forests", "kernel_id": "5230474"}, {"ref": "rnt0704/exercise-machine-learning-competitions", "kernel_id": "5230541"}, {"ref": "rnt0704/exercise-underfitting-and-overfitting", "kernel_id": "5230318"}, {"ref": "rnt0704/exercise-model-validation", "kernel_id": "5229866"}, {"ref": "rnt0704/exercise-introduction", "kernel_id": "5264418"}, {"ref": "rnt0704/exercise-xgboost", "kernel_id": "5862647"}, {"ref": "rnt0704/exercise-important-for-data-leakage-concepts", "kernel_id": "5863371"}, {"ref": "rnt0704/exercise-missing-values", "kernel_id": "5832503"}, {"ref": "rnt0704/exercise-categorical-variables", "kernel_id": "5833917"}, {"ref": "rnt0704/exercise-pipelines", "kernel_id": "5847663"}, {"ref": "rnt0704/exercise-cross-validation", "kernel_id": "5848790"}, {"ref": "adolfogarza/exercise-missing-values", "kernel_id": "5345990"}, {"ref": "adolfogarza/exercise-introduction", "kernel_id": "5345540"}, {"ref": "adolfogarza/exercise-categorical-variables", "kernel_id": "5363259"}, {"ref": "adolfogarza/exercise-underfitting-and-overfitting-int-to-ml", "kernel_id": "5325335"}, {"ref": "adolfogarza/exercise-your-first-machine-learning-model", "kernel_id": "5324210"}, {"ref": "adolfogarza/exercise-basic-data-exploration-intro-to-ml", "kernel_id": "5324226"}, {"ref": "adolfogarza/exercise-model-validation-intro-to-ml", "kernel_id": "5324449"}, {"ref": "adolfogarza/exercise-random-forests-intro-to-ml", "kernel_id": "5326620"}, {"ref": "adolfogarza/exercise-machine-learning-competitions", "kernel_id": "5327038"}, {"ref": "adolfogarza/exercise-pipelines", "kernel_id": "5376705"}, {"ref": "adolfogarza/exercise-xgboost", "kernel_id": "5380001"}, {"ref": "adolfogarza/exercise-cross-validation", "kernel_id": "5379683"}, {"ref": "nitikagarw/exercise-categorical-variables", "kernel_id": "5368703"}, {"ref": "mutantspore/feature-selection-techniques", "kernel_id": "5377019"}, {"ref": "agasca/exercise-machine-learning-competitions", "kernel_id": "5249252"}, {"ref": "shanshilove/exercise-machine-learning-competitions", "kernel_id": "5164230"}, {"ref": "shanshilove/exercise-basic-data-exploration", "kernel_id": "5108961"}, {"ref": "shanshilove/exercise-model-validation", "kernel_id": "5134431"}, {"ref": "shanshilove/exercise-your-first-machine-learning-model", "kernel_id": "5133137"}, {"ref": "shanshilove/exercise-underfitting-and-overfitting", "kernel_id": "5151886"}, {"ref": "shanshilove/exercise-random-forests", "kernel_id": "5154471"}, {"ref": "irenegrone/house-price-xgboost", "kernel_id": "5263756"}, {"ref": "kartikathale/exercise-missing-values", "kernel_id": "5356355"}, {"ref": "kartikathale/exercise-pipelines", "kernel_id": "5116430"}, {"ref": "beamers/exercise-model-validation", "kernel_id": "5164280"}, {"ref": "beamers/exercise-random-forests", "kernel_id": "5164811"}, {"ref": "beamers/exercise-underfitting-and-overfitting", "kernel_id": "5164653"}, {"ref": "beamers/exercise-machine-learning-competitions", "kernel_id": "5164880"}, {"ref": "beamers/exercise-your-first-machine-learning-model", "kernel_id": "5163500"}, {"ref": "beamers/exercise-introduction", "kernel_id": "5819537"}, {"ref": "suroor89/exercise-random-forests", "kernel_id": "5064563"}, {"ref": "dillipkaggle/exercise-machine-learning-competitions", "kernel_id": "5074534"}, {"ref": "ismanidar/exercise-introduction", "kernel_id": "5048045"}, {"ref": "shshankar1/exercise-machine-learning-competitions", "kernel_id": "5091475"}, {"ref": "kaggels/exercise-machine-learning-competitions", "kernel_id": "5574191"}, {"ref": "shauna/exercise-machine-learning-competitions", "kernel_id": "5067964"}, {"ref": "maramsofyan94/exercise-basic-data-exploration", "kernel_id": "5010382"}, {"ref": "maramsofyan94/exercise-your-first-machine-learning-model", "kernel_id": "5011711"}, {"ref": "maramsofyan94/exercise-underfitting-and-overfitting", "kernel_id": "5036102"}, {"ref": "maramsofyan94/exercise-model-validation", "kernel_id": "5035740"}, {"ref": "maramsofyan94/exercise-machine-learning-competitions", "kernel_id": "5073305"}, {"ref": "maramsofyan94/exercise-random-forests", "kernel_id": "5073014"}, {"ref": "maramsofyan94/exercise-missing-values", "kernel_id": "5150932"}, {"ref": "maramsofyan94/exercise-xgboost", "kernel_id": "5132191"}, {"ref": "maramsofyan94/exercise-cross-validation", "kernel_id": "5195379"}, {"ref": "maramsofyan94/exercise-pipelines", "kernel_id": "5193482"}, {"ref": "maramsofyan94/exercise-categorical-variables", "kernel_id": "5157230"}, {"ref": "maramsofyan94/exercise-missing-values-9e3dc3", "kernel_id": "5171772"}, {"ref": "maramsofyan94/exercise-data-leakage", "kernel_id": "5258262"}, {"ref": "diakite94/exercise-machine-learning-competitions", "kernel_id": "5610913"}, {"ref": "khairoo/exercise-missing-values", "kernel_id": "5160122"}, {"ref": "khairoo/exercise-categorical-variables", "kernel_id": "5195527"}, {"ref": "khairoo/exercise-model-validation", "kernel_id": "5068255"}, {"ref": "khairoo/exercise-your-first-machine-learning-model-daily", "kernel_id": "5064627"}, {"ref": "khairoo/exercise-random-forests", "kernel_id": "5090794"}, {"ref": "khairoo/exercise-underfitting-and-overfitting", "kernel_id": "5077126"}, {"ref": "khairoo/exercise-introduction", "kernel_id": "5116853"}, {"ref": "khairoo/exercise-pipelines", "kernel_id": "5337370"}, {"ref": "ahmedelsaied3210/exercise-categorical-variables", "kernel_id": "5334661"}, {"ref": "ahmedelsaied3210/exercise-model-validation", "kernel_id": "5316732"}, {"ref": "ahmedelsaied3210/exercise-machine-learning-competitions", "kernel_id": "5317428"}, {"ref": "ahmedelsaied3210/exercise-underfitting-and-overfitting", "kernel_id": "5317285"}, {"ref": "ahmedelsaied3210/exercise-random-forests", "kernel_id": "5317367"}, {"ref": "ahmedelsaied3210/exercise-missing-values", "kernel_id": "5318586"}, {"ref": "ahmedelsaied3210/exercise-introduction", "kernel_id": "5318452"}, {"ref": "slalit360/exercise-machine-learning-competitions", "kernel_id": "5429032"}, {"ref": "xuefengding/housing-price-competion", "kernel_id": "5728635"}, {"ref": "jatojoseph/exercise-machine-learning-competitions", "kernel_id": "5354596"}, {"ref": "kothari007/exercise-model-validation", "kernel_id": "5379829"}, {"ref": "justinc2/exercise-machine-learning-competitions", "kernel_id": "5260960"}, {"ref": "shiva20/exercise-machine-learning-competitions", "kernel_id": "5862722"}, {"ref": "mikelol/exercise-your-first-machine-learning-model", "kernel_id": "5099628"}, {"ref": "mikelol/exercise-model-validation", "kernel_id": "5100071"}, {"ref": "mikelol/exercise-basic-data-exploration", "kernel_id": "5241462"}, {"ref": "mikelol/exercise-underfitting-and-overfitting", "kernel_id": "5210603"}, {"ref": "mikelol/exercise-random-forests", "kernel_id": "5211314"}, {"ref": "mikelol/exercise-machine-learning-competitions", "kernel_id": "5211384"}, {"ref": "pavanireddyv/exercise-pipelines", "kernel_id": "5083206"}, {"ref": "hamnaasad/exercise-missing-values", "kernel_id": "5676945"}, {"ref": "harsh03/exercise-machine-learning-competitions", "kernel_id": "5072996"}, {"ref": "imjunias/exercise-machine-learning-competitions", "kernel_id": "5461839"}, {"ref": "spscientist/exercise-basic-data-exploration", "kernel_id": "5325103"}, {"ref": "ngocdha/exercise-machine-learning-competitions", "kernel_id": "5274807"}, {"ref": "ghpeeyush/exercise-machine-learning-competitions", "kernel_id": "5353291"}, {"ref": "dinatadros/exercise-machine-learning-competitions", "kernel_id": "5829057"}, {"ref": "akashii99/exercise-missing-values", "kernel_id": "5102793"}, {"ref": "akashii99/exercise-introduction", "kernel_id": "5064610"}, {"ref": "boshea/housing-prices-draft-vi", "kernel_id": "5387556"}, {"ref": "detteiu0330/exercise-machine-learning-competitions", "kernel_id": "5282659"}, {"ref": "mauridev/exercise-machine-learning-competitions", "kernel_id": "5106140"}, {"ref": "mikegrif/exercise-machine-learning-competitions", "kernel_id": "5375080"}, {"ref": "sasikumar18/exercise-machine-learning-competitions", "kernel_id": "5373030"}, {"ref": "mohamedadel997/exercise-machine-learning-competitions", "kernel_id": "5441968"}, {"ref": "kgmavrova/exercise-machine-learning-competitions", "kernel_id": "5327955"}, {"ref": "dikumar/exercise-machine-learning-competitions", "kernel_id": "5323559"}, {"ref": "khs2068/exercise-machine-learning-competitions-daily", "kernel_id": "5266092"}, {"ref": "cerealex/exercise-machine-learning-competitions", "kernel_id": "5734478"}, {"ref": "shubhampathakdream/exercise-introduction", "kernel_id": "5826392"}, {"ref": "redisunarta/exercise-basic-data-exploration", "kernel_id": "5341185"}, {"ref": "redisunarta/exercise-machine-learning-competitions", "kernel_id": "5341889"}, {"ref": "redisunarta/exercise-your-first-machine-learning-model", "kernel_id": "5340354"}, {"ref": "redisunarta/exercise-missing-values", "kernel_id": "5369096"}, {"ref": "elsayedfeteh/exercise-machine-learning-competitions", "kernel_id": "5597757"}, {"ref": "elsayedfeteh/exercise-introduction", "kernel_id": "5606329"}, {"ref": "kevinsunny1996/exercise-missing-values", "kernel_id": "5893851"}, {"ref": "lgrando1/exercise-machine-learning-competitions-daily", "kernel_id": "5436573"}, {"ref": "halahassouna/exercise-data-leakage", "kernel_id": "5393653"}, {"ref": "halahassouna/exercise-pipelines", "kernel_id": "5365150"}, {"ref": "halahassouna/exercise-cross-validation", "kernel_id": "5365718"}, {"ref": "halahassouna/exercise-xgboost", "kernel_id": "5367016"}, {"ref": "halahassouna/exercise-categorical-variables", "kernel_id": "5203237"}, {"ref": "halahassouna/exercise-missing-values", "kernel_id": "5170083"}, {"ref": "halahassouna/exercise-basic-data-exploration", "kernel_id": "5010615"}, {"ref": "halahassouna/exercise-machine-learning-competitions", "kernel_id": "5131406"}, {"ref": "halahassouna/exercise-random-forests", "kernel_id": "5073140"}, {"ref": "gaurav4964/exercise-missing-values", "kernel_id": "5177561"}, {"ref": "gaurav4964/exercise-categorical-variables", "kernel_id": "5178605"}, {"ref": "gaurav4964/exercise-introduction", "kernel_id": "5175710"}, {"ref": "arickmunoz/exercise-categorical-variables", "kernel_id": "5299165"}, {"ref": "arickmunoz/exercise-pipelines", "kernel_id": "5317194"}, {"ref": "arickmunoz/exercise-introduction", "kernel_id": "5271924"}, {"ref": "arickmunoz/exercise-machine-learning-competitions", "kernel_id": "5249039"}, {"ref": "refikasultandogan/exercise-basic-data-exploration", "kernel_id": "5065111"}, {"ref": "refikasultandogan/exercise-machine-learning-competitions", "kernel_id": "5067131"}, {"ref": "bimimi/exercise-basic-data-exploration", "kernel_id": "5339092"}, {"ref": "zeroke/exercise-machine-learning-competitions", "kernel_id": "5160068"}, {"ref": "evgenia82/exercise-missing-values", "kernel_id": "5514995"}, {"ref": "evgenia82/exercise-machine-learning-competitions", "kernel_id": "5248140"}, {"ref": "evgenia82/exercise-random-forests", "kernel_id": "5243759"}, {"ref": "evgenia82/exercise-underfitting-and-overfitting", "kernel_id": "5164501"}, {"ref": "khinezarthwe/exercise-machine-learning-competitions", "kernel_id": "5349943"}, {"ref": "bachbao/exercise-basic-data-exploration", "kernel_id": "5324687"}, {"ref": "bachbao/exercise-underfitting-and-overfitting", "kernel_id": "5144910"}, {"ref": "bachbao/exercise-machine-learning-competitions", "kernel_id": "5148403"}, {"ref": "bachbao/exercise-model-validation", "kernel_id": "5123989"}, {"ref": "bachbao/exercise-your-first-machine-learning-model", "kernel_id": "5106845"}, {"ref": "sujiiit777/exercise-introduction", "kernel_id": "5585239"}, {"ref": "fvadan/exercise-machine-learning-competitions", "kernel_id": "5268665"}, {"ref": "maysaasalama/exercise-machine-learning-competitions", "kernel_id": "5073255"}, {"ref": "maysaasalama/exercise-random-forests", "kernel_id": "5072970"}, {"ref": "maysaasalama/exercise-basic-data-exploration", "kernel_id": "5010459"}, {"ref": "maysaasalama/exercise-your-first-machine-learning-model", "kernel_id": "5010938"}, {"ref": "maysaasalama/exercise-underfitting-and-overfitting", "kernel_id": "5036320"}, {"ref": "maysaasalama/exercise-model-validation", "kernel_id": "5033583"}, {"ref": "maysaasalama/exercise-categorical-variables", "kernel_id": "5202630"}, {"ref": "maysaasalama/exercise-missing-values", "kernel_id": "5169238"}, {"ref": "maysaasalama/exercise-introduction", "kernel_id": "5169124"}, {"ref": "maysaasalama/exercise-data-leakage", "kernel_id": "5393156"}, {"ref": "maysaasalama/exercise-pipelines", "kernel_id": "5363609"}, {"ref": "maysaasalama/exercise-cross-validation", "kernel_id": "5363756"}, {"ref": "maysaasalama/exercise-xgboost", "kernel_id": "5366254"}, {"ref": "mhayakawa/kernel93ba46eb22", "kernel_id": "5309660"}, {"ref": "gandak/exercise-machine-learning-competitions", "kernel_id": "5357502"}, {"ref": "rkcampbell/exercise-machine-learning-competitions", "kernel_id": "5089141"}, {"ref": "noelmat/exercise-missing-values", "kernel_id": "5515187"}, {"ref": "squareknot/house-price-pred-full", "kernel_id": "5148883"}, {"ref": "raminrahimzada/exercise-machine-learning-competitions", "kernel_id": "5619525"}, {"ref": "socret360/exercise-machine-learning-competitions", "kernel_id": "5911246"}, {"ref": "mdnazmulhossain/exercise-machine-learning-competitions", "kernel_id": "5848406"}, {"ref": "swanasaurus/regression", "kernel_id": "5903681"}, {"ref": "ossinova/exercise-machine-learning-competitions", "kernel_id": "5418254"}, {"ref": "avijitsamal/exercise-machine-learning-competitions", "kernel_id": "5365655"}, {"ref": "gilbertorocha/exercise-machine-learning-competitions", "kernel_id": "5190365"}, {"ref": "akhelfa/exercise-introduction", "kernel_id": "5080180"}, {"ref": "iuli256/exercise-machine-learning-competitions", "kernel_id": "5414184"}, {"ref": "coolone/exercise-introduction", "kernel_id": "5002762"}, {"ref": "sumamandalreddy/exercise-random-forests", "kernel_id": "5640784"}, {"ref": "rajeshkumarkarra/exercise-introduction", "kernel_id": "5207335"}, {"ref": "sherrytp/housing-price-competition", "kernel_id": "5360731"}, {"ref": "vemana154/exercise-basic-data-exploration-daily", "kernel_id": "5333172"}, {"ref": "vemana154/exercise-your-first-machine-learning-model", "kernel_id": "5353350"}, {"ref": "vemana154/kernel9f30a086ab", "kernel_id": "5353110"}, {"ref": "vemana154/exercise-introduction", "kernel_id": "5354076"}, {"ref": "vemana154/exercise-your-first-machine-learning-model-daily", "kernel_id": "5381770"}, {"ref": "vemana154/exercise-machine-learning-competitions", "kernel_id": "5383785"}, {"ref": "vemana154/exercise-random-forests", "kernel_id": "5383360"}, {"ref": "vemana154/exercise-underfitting-and-overfitting", "kernel_id": "5382184"}, {"ref": "vemana154/exercise-model-validation", "kernel_id": "5375565"}, {"ref": "vemana154/exercise-missing-values", "kernel_id": "5512062"}, {"ref": "i0dimensions/exercise-introduction", "kernel_id": "5032846"}, {"ref": "ashwin89872/exercise-machine-learning-competitions", "kernel_id": "5565064"}, {"ref": "aquadzn/h2o-automl-housing-prices", "kernel_id": "5546063"}, {"ref": "dennizzzzzpy/exercise-machine-learning-competitions", "kernel_id": "5122631"}, {"ref": "marmstr3/exercise-machine-learning-competitions", "kernel_id": "5898929"}, {"ref": "surananitish/exercise-your-first-machine-learning-model", "kernel_id": "5548335"}, {"ref": "surananitish/exercise-model-validation", "kernel_id": "5548337"}, {"ref": "surananitish/exercise-underfitting-and-overfitting", "kernel_id": "5548338"}, {"ref": "abhi8901/exercise-xgboost", "kernel_id": "5209466"}, {"ref": "naveev/exercise-machine-learning-competitions", "kernel_id": "5384368"}, {"ref": "waseembader/exercise-machine-learning-competitions", "kernel_id": "5120989"}, {"ref": "edwardlc/exercise-machine-learning-competitions", "kernel_id": "5960006"}, {"ref": "prateekgupta891/exercise-model-validation", "kernel_id": "5269805"}, {"ref": "prateekgupta891/exercise-basic-data-exploration", "kernel_id": "5253408"}, {"ref": "prateekgupta891/exercise-random-forests", "kernel_id": "5405479"}, {"ref": "prateekgupta891/exercise-machine-learning-competitions", "kernel_id": "5405504"}, {"ref": "prateekgupta891/exercise-underfitting-and-overfitting", "kernel_id": "5405287"}, {"ref": "engineerbmanishreddy/omhadowntwonmldataanalysys", "kernel_id": "5713521"}, {"ref": "engineerbmanishreddy/omhadowntwonmldataengineering", "kernel_id": "5714536"}, {"ref": "felesterio/exercise-categorical-variables", "kernel_id": "5465307"}, {"ref": "anan0729/exercise-machine-learning-competitions", "kernel_id": "5093383"}, {"ref": "ajaysingh0309/exercise-machine-learning-competitions", "kernel_id": "5084831"}, {"ref": "mohamedafham/exercise-categorical-variables", "kernel_id": "5334141"}, {"ref": "yyzz1010/exercise-model-validation", "kernel_id": "5366301"}, {"ref": "yyzz1010/exercise-introduction", "kernel_id": "5366231"}, {"ref": "yyzz1010/exercise-underfitting-and-overfitting", "kernel_id": "5366392"}, {"ref": "yyzz1010/exercise-random-forests", "kernel_id": "5367454"}, {"ref": "joekazungu/exercise-machine-learning-competitions", "kernel_id": "5976813"}, {"ref": "hcoelho/exercise-model-validation", "kernel_id": "5197857"}, {"ref": "hcoelho/exercise-underfitting-and-overfitting", "kernel_id": "5199331"}, {"ref": "hcoelho/exercise-random-forests", "kernel_id": "5199394"}, {"ref": "hcoelho/exercise-your-first-machine-learning-model", "kernel_id": "5185033"}, {"ref": "hcoelho/exercise-basic-data-exploration", "kernel_id": "5167595"}, {"ref": "carlosdelaf/exercise-introduction", "kernel_id": "5035965"}, {"ref": "sayalitelang/exercise-your-first-machine-learning-model-714280", "kernel_id": "5954800"}, {"ref": "nav99een/exercise-machine-learning-competitions", "kernel_id": "5370709"}, {"ref": "deep09/exercise-your-first-machine-learning-model", "kernel_id": "5078512"}, {"ref": "deep09/exercise-model-validation", "kernel_id": "5079807"}, {"ref": "deep09/exercise-underfitting-and-overfitting", "kernel_id": "5081573"}, {"ref": "deep09/exercise-random-forests", "kernel_id": "5082213"}, {"ref": "deep09/exercise-machine-learning-competitions", "kernel_id": "5082502"}, {"ref": "petermuwangu/exercise-machine-learning-competitions", "kernel_id": "5147665"}, {"ref": "samueljklee/exercise-machine-learning-competitions", "kernel_id": "5798940"}, {"ref": "samueljklee/exercise-your-first-machine-learning-model", "kernel_id": "5799174"}, {"ref": "samueljklee/exercise-model-validation", "kernel_id": "5848046"}, {"ref": "samueljklee/exercise-random-forests", "kernel_id": "5849995"}, {"ref": "samueljklee/exercise-underfitting-and-overfitting", "kernel_id": "5849564"}, {"ref": "birdash/exercise-missing-values", "kernel_id": "5334879"}, {"ref": "gaurishri/exercise-machine-learning-competitions", "kernel_id": "5134191"}, {"ref": "lizchiz/exercise-machine-learning-competitions", "kernel_id": "5321710"}, {"ref": "pramodini18/exercise-missing-values", "kernel_id": "5461436"}, {"ref": "pramodini18/exercise-machine-learning-competitions", "kernel_id": "5224397"}, {"ref": "chamsedine10/exercise-categorical-variables", "kernel_id": "5350451"}, {"ref": "pritha21/exercise-machine-learning-competitions", "kernel_id": "5345332"}, {"ref": "master212/exercise-xgboost", "kernel_id": "5366662"}, {"ref": "master212/exercise-cross-validation", "kernel_id": "5365744"}, {"ref": "master212/exercise-pipelines", "kernel_id": "5365200"}, {"ref": "master212/exercise-introduction", "kernel_id": "5169239"}, {"ref": "master212/exercise-missing-values", "kernel_id": "5169656"}, {"ref": "master212/exercise-machine-learning-competitions", "kernel_id": "5077323"}, {"ref": "master212/exercise-random-forests", "kernel_id": "5092506"}, {"ref": "master212/exercise-underfitting-and-overfitting", "kernel_id": "5036095"}, {"ref": "master212/exercise-your-first-machine-learning-model", "kernel_id": "5011722"}, {"ref": "ianbernardino/exercise-machine-learning-competitions", "kernel_id": "5106264"}, {"ref": "ecdedios/exercise-your-first-machine-learning-model", "kernel_id": "5066466"}, {"ref": "ecdedios/exercise-model-validation", "kernel_id": "5066650"}, {"ref": "ecdedios/exercise-random-forests", "kernel_id": "5067025"}, {"ref": "ecdedios/exercise-machine-learning-competitions", "kernel_id": "5067115"}, {"ref": "ecdedios/exercise-underfitting-and-overfitting", "kernel_id": "5066830"}, {"ref": "sidnepal1991/exercise-introduction", "kernel_id": "5268899"}, {"ref": "chileta/exercise-pipelines", "kernel_id": "5351180"}, {"ref": "chileta/exercise-cross-validation", "kernel_id": "5351575"}, {"ref": "chileta/exercise-xgboost", "kernel_id": "5419372"}, {"ref": "chileta/exercise-data-leakage", "kernel_id": "5419544"}, {"ref": "chileta/exercise-categorical-variables", "kernel_id": "5175322"}, {"ref": "chileta/exercise-missing-values", "kernel_id": "5060254"}, {"ref": "davidrodrod/exercise-xgboost", "kernel_id": "5606150"}, {"ref": "maxhess/housing-prices-learning-notebook", "kernel_id": "5638087"}, {"ref": "praneshsaminathan/exercise-machine-learning-competitions", "kernel_id": "5454171"}, {"ref": "tbonemah/exercise-machine-learning-competitions", "kernel_id": "5736024"}, {"ref": "faizi5/exercise-introduction", "kernel_id": "5145003"}, {"ref": "ychebaro/exercise-machine-learning-competitions", "kernel_id": "5719418"}, {"ref": "manojkamat/exercise-random-forests", "kernel_id": "5172799"}, {"ref": "manojkamat/exercise-machine-learning-competitions", "kernel_id": "5172960"}, {"ref": "manojkamat/exercise-your-first-machine-learning-model", "kernel_id": "5107780"}, {"ref": "manojkamat/exercise-model-validation", "kernel_id": "5122405"}, {"ref": "manojkamat/exercise-underfitting-and-overfitting", "kernel_id": "5143624"}, {"ref": "rushildp/exercise-random-forests", "kernel_id": "5313748"}, {"ref": "psinghps442/exercise-machine-learning-competitions", "kernel_id": "5645195"}, {"ref": "mithuncyriac/exercise-machine-learning-competitions", "kernel_id": "5022110"}, {"ref": "vaizars/exercise-machine-learning-competitions", "kernel_id": "5614694"}, {"ref": "lodestar/exercise-categorical-variables", "kernel_id": "5850744"}, {"ref": "ondiekhann/exercise-machine-learning-competitions", "kernel_id": "5381443"}, {"ref": "siva841982/exercise-machine-learning-competitions", "kernel_id": "5461412"}, {"ref": "samirkb/exercise-random-forests", "kernel_id": "5320379"}, {"ref": "samirkb/exercise-machine-learning-competitions", "kernel_id": "5320605"}, {"ref": "wjthompson/exercise-machine-learning-competitions", "kernel_id": "5149641"}, {"ref": "rahulgupta219/exercise-missing-values", "kernel_id": "5693722"}, {"ref": "rebuilder/exercise-missing-values", "kernel_id": "5134817"}, {"ref": "nbenzekri/exercise-machine-learning-competitions", "kernel_id": "5463880"}, {"ref": "skostis/house-price-prediction", "kernel_id": "5485823"}, {"ref": "anandabasak/exercise-introduction", "kernel_id": "5457118"}, {"ref": "hark99/housing-pricing-competitions", "kernel_id": "5066288"}, {"ref": "alexandremenzes/exercise-machine-learning-competitions", "kernel_id": "5216609"}, {"ref": "alexandremenzes/exercise-missing-values", "kernel_id": "5349110"}, {"ref": "juanzuluagag/exercise-introduction", "kernel_id": "5074115"}, {"ref": "lancepeng/exercise-machine-learning-competitions", "kernel_id": "5970979"}, {"ref": "harleenquinzel7070/exercise-your-first-machine-learning-model", "kernel_id": "5345690"}, {"ref": "harleenquinzel7070/kernel58800d1539", "kernel_id": "5586903"}, {"ref": "harleenquinzel7070/exercise-machine-learning-competitions", "kernel_id": "5553644"}, {"ref": "abote4/exercise-machine-learning-competitions", "kernel_id": "5281249"}, {"ref": "msiieq/exercise-introduction", "kernel_id": "5841532"}, {"ref": "janichat/exercise-machine-learning-competitions", "kernel_id": "5196472"}, {"ref": "jaitleyh/exercise-machine-learning-competitions", "kernel_id": "5158245"}, {"ref": "graciawidarso/exercise-your-first-machine-learning-model", "kernel_id": "5128519"}, {"ref": "graciawidarso/exercise-model-validation", "kernel_id": "5160082"}, {"ref": "graciawidarso/exercise-underfitting-and-overfitting", "kernel_id": "5161149"}, {"ref": "graciawidarso/exercise-missing-values", "kernel_id": "5172389"}, {"ref": "graciawidarso/exercise-introduction", "kernel_id": "5171415"}, {"ref": "graciawidarso/exercise-random-forests", "kernel_id": "5170563"}, {"ref": "graciawidarso/exercise-pipelines", "kernel_id": "5175884"}, {"ref": "graciawidarso/exercise-categorical-variables", "kernel_id": "5174650"}, {"ref": "graciawidarso/exercise-cross-validation", "kernel_id": "5177978"}, {"ref": "graciawidarso/exercise-xgboost", "kernel_id": "5178758"}, {"ref": "xdong086/exercise-data-leakage", "kernel_id": "5152519"}, {"ref": "blackh0le/crack-the-13000-with-support-vector-regression", "kernel_id": "5872751"}, {"ref": "vtu10547/exercise-your-first-machine-learning-model", "kernel_id": "5322374"}, {"ref": "maryaam/exercise-machine-learning-competitions", "kernel_id": "5291304"}, {"ref": "mrasherloo/exercise-machine-learning-competitions", "kernel_id": "5404563"}, {"ref": "leifuer/exercise-categorical-variables", "kernel_id": "5314295"}, {"ref": "leifuer/exercise-cross-validation", "kernel_id": "5357175"}, {"ref": "leifuer/exercise-xgboost", "kernel_id": "5462760"}, {"ref": "leifuer/exercise-data-leakage", "kernel_id": "5531814"}, {"ref": "leifuer/exercise-pipelines", "kernel_id": "5231930"}, {"ref": "leifuer/exercise-missing-values", "kernel_id": "5031898"}, {"ref": "devanshu999/exercise-machine-learning-competitions", "kernel_id": "5369848"}, {"ref": "eternalenvy/exercise-machine-learning-competitions", "kernel_id": "5334069"}, {"ref": "hochbrj/exercise-machine-learning-competitions", "kernel_id": "5307847"}, {"ref": "lucasrochaop/exercise-machine-learning-competitions", "kernel_id": "5678400"}, {"ref": "jonathan9879/exercise-machine-learning-competitions", "kernel_id": "5353843"}, {"ref": "vishnupy/exercise-machine-learning-competitions", "kernel_id": "5378478"}, {"ref": "vishnupy/exercise-cross-validation", "kernel_id": "5080643"}, {"ref": "vishnupy/exercise-pipelines", "kernel_id": "5079860"}, {"ref": "vishnupy/exercise-xgboost", "kernel_id": "5081567"}, {"ref": "vishnupy/exercise-introduction", "kernel_id": "5094948"}, {"ref": "kadad1312/exercise-machine-learning-competitions", "kernel_id": "5256247"}, {"ref": "raiseallin/exercise-machine-learning-competitions", "kernel_id": "5018305"}, {"ref": "alinlv/exercise-xgboost", "kernel_id": "5470084"}, {"ref": "alinlv/exercise-machine-learning-competitions", "kernel_id": "5430947"}, {"ref": "tejashpopate/exercise-pipelines", "kernel_id": "5252979"}, {"ref": "tejashpopate/exercise-basic-data-exploration", "kernel_id": "5251775"}, {"ref": "tejashpopate/exercise-cross-validation", "kernel_id": "5317923"}, {"ref": "tejashpopate/exercise-xgboost", "kernel_id": "5336433"}, {"ref": "omarelejla/exercise-categorical-variables", "kernel_id": "5210929"}, {"ref": "omarelejla/exercise-missing-values", "kernel_id": "5169957"}, {"ref": "omarelejla/exercise-introduction", "kernel_id": "5169146"}, {"ref": "omarelejla/exercise-xgboost", "kernel_id": "5385812"}, {"ref": "omarelejla/exercise-data-leakage", "kernel_id": "5393710"}, {"ref": "standemdem/exercise-machine-learning-competitions", "kernel_id": "5470626"}, {"ref": "harishpasupuleti/exercise-machine-learning-competitions", "kernel_id": "5268891"}, {"ref": "harishpasupuleti/exercise-categorical-variables", "kernel_id": "5421732"}, {"ref": "tyagi96/exercise-machine-learning-competitions", "kernel_id": "5416596"}, {"ref": "zhaolei1990/exercise-missing-values", "kernel_id": "5183358"}, {"ref": "zhaolei1990/exercise-machine-learning-competitions", "kernel_id": "5167647"}, {"ref": "hptruong/exercise-your-first-machine-learning-model-daily", "kernel_id": "5119751"}, {"ref": "hptruong/ht-exercise-basic-data-exploration-daily", "kernel_id": "5119393"}, {"ref": "clarkchiu/exercise-machine-learning-competitions", "kernel_id": "5377149"}, {"ref": "amanacden/exercise-machine-learning-competitions", "kernel_id": "5335879"}, {"ref": "vishusharma/exercise-machine-learning-competitions", "kernel_id": "5122103"}, {"ref": "joyceliang/exercise-machine-learning-competitions", "kernel_id": "5710734"}, {"ref": "jss06170810/exercise-machine-learning-competitions", "kernel_id": "5184296"}, {"ref": "nithiin07/exercise-random-forests", "kernel_id": "5325310"}, {"ref": "nithiin07/exercise-categorical-variables", "kernel_id": "5334184"}, {"ref": "nithiin07/exercise-missing-values", "kernel_id": "5331332"}, {"ref": "nithiin07/exercise-basic-data-exploration", "kernel_id": "5330086"}, {"ref": "nithiin07/exercise-machine-learning-competitions", "kernel_id": "5330180"}, {"ref": "nithiin07/exercise-pipelines", "kernel_id": "5349915"}, {"ref": "mumincentez/exercise-machine-learning-competitions", "kernel_id": "5333763"}, {"ref": "zohair07/exercise-machine-learning-competitions-zdiab", "kernel_id": "5400891"}, {"ref": "pedrohmdo/exercise-machine-learning-competitions", "kernel_id": "5218156"}, {"ref": "danielnogueir/exercise-machine-learning-competitions", "kernel_id": "5850775"}, {"ref": "priscillla/exercise-machine-learning-competitions", "kernel_id": "5144431"}, {"ref": "nafisa22/exercise-random-forests", "kernel_id": "5957256"}, {"ref": "nafisa22/exercise-your-first-machine-learning-model", "kernel_id": "5947805"}, {"ref": "mwickers/exercise-machine-learning-competitions", "kernel_id": "5948113"}, {"ref": "vivekna1/exercise-machine-learning-competitions", "kernel_id": "5027597"}, {"ref": "tacettinarici/exercise-machine-learning-competitions", "kernel_id": "5132836"}, {"ref": "tacettinarici/house-p", "kernel_id": "5132943"}, {"ref": "tacettinarici/missing-values", "kernel_id": "5363452"}, {"ref": "tacettinarici/exercise-categorical-variables", "kernel_id": "5363852"}, {"ref": "anandbaburajan/exercise-machine-learning-competitions", "kernel_id": "5354644"}, {"ref": "stevekola/exercise-machine-learning-competitions", "kernel_id": "5391043"}, {"ref": "erinfolami/exercise-machine-learning-competitions", "kernel_id": "5352747"}, {"ref": "tahani1412/exercise-xgboost", "kernel_id": "5367041"}, {"ref": "tahani1412/exercise-cross-validation", "kernel_id": "5365758"}, {"ref": "tahani1412/exercise-pipelines", "kernel_id": "5365268"}, {"ref": "tahani1412/exercise-introduction", "kernel_id": "5390197"}, {"ref": "tahani1412/exercise-model-validation", "kernel_id": "5036141"}, {"ref": "tahani1412/exercise-underfitting-and-overfitting", "kernel_id": "5036144"}, {"ref": "tahani1412/exercise-your-first-machine-learning-model", "kernel_id": "5011729"}, {"ref": "tahani1412/exercise-machine-learning-competitions", "kernel_id": "5100300"}, {"ref": "tahani1412/exercise-random-forests", "kernel_id": "5073150"}, {"ref": "bladerunnerrachel/pipelines-kaggle-competition-housing-prices", "kernel_id": "5078780"}, {"ref": "xopxesalmon/exercise-categorical-variables", "kernel_id": "5782699"}, {"ref": "brukselka/exercise-underfitting-and-overfitting", "kernel_id": "5256763"}, {"ref": "brukselka/exercise-basic-data-exploration", "kernel_id": "5212956"}, {"ref": "mohammadeslim/exercise-cross-validation", "kernel_id": "5392884"}, {"ref": "mohammadeslim/exercise-data-leakage", "kernel_id": "5392916"}, {"ref": "mohammadeslim/exercise-xgboost", "kernel_id": "5393006"}, {"ref": "mohammadeslim/exercise-pipelines", "kernel_id": "5366496"}, {"ref": "mohammadeslim/exercise-categorical-variables", "kernel_id": "5202624"}, {"ref": "mohammadeslim/exercise-introduction", "kernel_id": "5169169"}, {"ref": "mohammadeslim/exercise-missing-values", "kernel_id": "5169369"}, {"ref": "mohammadeslim/exercise-machine-learning-competitions", "kernel_id": "5073216"}, {"ref": "mohammadeslim/exercise-random-forests", "kernel_id": "5072643"}, {"ref": "mohammadeslim/exercise-model-validation", "kernel_id": "5035721"}, {"ref": "mohammadeslim/exercise-underfitting-and-overfitting", "kernel_id": "5036107"}, {"ref": "mohammadeslim/exercise-your-first-machine-learning-model", "kernel_id": "5011714"}, {"ref": "andreifnmg/exercise-missing-values", "kernel_id": "5181491"}, {"ref": "syidiqnet/exercise-missing-values", "kernel_id": "5381706"}, {"ref": "gustavonascimentogn/exercise-missing-values", "kernel_id": "5043069"}, {"ref": "mr2792/m-l-competitions-randf-marag1", "kernel_id": "5396003"}, {"ref": "ahmed4fee/exercise-introduction", "kernel_id": "5085960"}, {"ref": "moacyr007/exercise-your-first-machine-learning-model", "kernel_id": "5844121"}, {"ref": "kadeniran/exercise-machine-learning-competitions", "kernel_id": "5175479"}, {"ref": "kadeniran/exercise-introduction", "kernel_id": "5193811"}, {"ref": "alicjak1519/exercise-machine-learning-competitions", "kernel_id": "5484807"}, {"ref": "egharevba/exercise-your-first-machine-learning-model-daily", "kernel_id": "5140317"}, {"ref": "krod94/exercise-basic-data-exploration", "kernel_id": "5301759"}, {"ref": "merklefl/exercise-machine-learning-competitions", "kernel_id": "5612558"}, {"ref": "kamal016/exercise-machine-learning-competitions", "kernel_id": "5895827"}, {"ref": "anujssmishra/exercise-machine-learning-competitions", "kernel_id": "5314566"}, {"ref": "juanmi2308/exercise-machine-learning-competitions", "kernel_id": "5069199"}, {"ref": "nathanhbarr/exercise-machine-learning-competitions", "kernel_id": "5877814"}, {"ref": "camiloramirezf/exercise-introduction", "kernel_id": "5613998"}, {"ref": "camiloramirezf/exercise-machine-learning-competitions", "kernel_id": "5330367"}, {"ref": "karanovdp/exercise-missing-values", "kernel_id": "5431406"}, {"ref": "pochocosta/exercise-machine-learning-competitions", "kernel_id": "5704850"}, {"ref": "mohamedtayser/exercise-xgboost", "kernel_id": "5311610"}, {"ref": "mohamedtayser/exercise-cross-validation", "kernel_id": "5298809"}, {"ref": "mohamedtayser/exercise-pipelines", "kernel_id": "5297893"}, {"ref": "mohamedtayser/exercise-your-first-machine-learning-model", "kernel_id": "5197007"}, {"ref": "mohamedtayser/exercise-introduction", "kernel_id": "5243109"}, {"ref": "blacccloud/exercise-machine-learning-competitions", "kernel_id": "5677464"}, {"ref": "karthik05jan85/exercise-machine-learning-competitions", "kernel_id": "5387193"}, {"ref": "tforse/exercise-machine-learning-competitions", "kernel_id": "5396188"}, {"ref": "sriharshadamarla/exercise-model-validation", "kernel_id": "5663225"}, {"ref": "sriharshadamarla/exercise-your-first-machine-learning-model", "kernel_id": "5661653"}, {"ref": "sriharshadamarla/exercise-random-forests", "kernel_id": "5694287"}, {"ref": "bolhasani/exercise-machine-learning-competitions", "kernel_id": "5369247"}, {"ref": "minhlong/exercise-machine-learning-competitions-version3", "kernel_id": "5660126"}, {"ref": "minhlong/exercise-machine-learning-competitions", "kernel_id": "5653525"}, {"ref": "undabah/exercise-your-first-machine-learning-model", "kernel_id": "5100001"}, {"ref": "prashmitbose/exercise-machine-learning-competitions", "kernel_id": "5642567"}, {"ref": "seanlewis08/exercise-machine-learning-competitions", "kernel_id": "5422808"}, {"ref": "elpapi42/exercise-machine-learning-competitions", "kernel_id": "5070261"}, {"ref": "malavrajsolanki/exercise-introduction", "kernel_id": "5063475"}, {"ref": "diablo34/exercise-machine-learning-competitions", "kernel_id": "5560842"}, {"ref": "fusion110897/exercise-machine-learning-competitions", "kernel_id": "5460118"}, {"ref": "svduve/exercise-machine-learning-competitions", "kernel_id": "5432472"}, {"ref": "drmrsck/exercise-machine-learning-competitions", "kernel_id": "5106554"}, {"ref": "sangeeta795/exercise-your-first-machine-learning-model", "kernel_id": "5405195"}, {"ref": "sangeeta795/exercise-model-validation", "kernel_id": "5414789"}, {"ref": "kabeersingh/exercise-cross-validation", "kernel_id": "5165486"}, {"ref": "kabeersingh/exercise-xgboost", "kernel_id": "5165733"}, {"ref": "kabeersingh/exercise-data-leakage", "kernel_id": "5166046"}, {"ref": "kabeersingh/exercise-pipelines", "kernel_id": "5133959"}, {"ref": "kabeersingh/exercise-missing-values", "kernel_id": "5132670"}, {"ref": "kabeersingh/exercise-categorical-variables", "kernel_id": "5133223"}, {"ref": "robertosolano/exercise-machine-learning-competitions", "kernel_id": "5467786"}, {"ref": "fhaffner/exercise-machine-learning-competitions", "kernel_id": "5176642"}, {"ref": "sidneydo5/exercise-xgboost", "kernel_id": "5850645"}, {"ref": "sidneydo5/exercise-pipelines", "kernel_id": "5850082"}, {"ref": "sidneydo5/exercise-cross-validation", "kernel_id": "5850348"}, {"ref": "sidneydo5/exercise-categorical-variables", "kernel_id": "5713186"}, {"ref": "sidneydo5/exercise-data-leakage", "kernel_id": "5878997"}, {"ref": "sidneydo5/exercise-introduction", "kernel_id": "5341795"}, {"ref": "sidneydo5/exercise-random-forests", "kernel_id": "5304350"}, {"ref": "sidneydo5/exercise-machine-learning-competitions", "kernel_id": "5304405"}, {"ref": "sidneydo5/exercise-missing-values", "kernel_id": "5534132"}, {"ref": "sidneydo5/exercise-basic-data-exploration", "kernel_id": "5152372"}, {"ref": "sidneydo5/exercise-underfitting-and-overfitting", "kernel_id": "5288269"}, {"ref": "sidneydo5/exercise-model-validation", "kernel_id": "5164433"}, {"ref": "sidneydo5/exercise-your-first-machine-learning-model", "kernel_id": "5164039"}, {"ref": "sid1dse/exercise-pipelines", "kernel_id": "5219300"}, {"ref": "msafari/exercise-pipelines", "kernel_id": "5657339"}, {"ref": "msafari/exercise-introduction", "kernel_id": "5642068"}, {"ref": "christopherucl/exercise-missing-values", "kernel_id": "5604527"}, {"ref": "christopherucl/exercise-categorical-variables", "kernel_id": "5608408"}, {"ref": "wakasu/exercise-machine-learning-competitions", "kernel_id": "5415398"}, {"ref": "boikodenys/exercise-your-first-machine-learning-model", "kernel_id": "5818148"}, {"ref": "boikodenys/exercise-model-validation-daily", "kernel_id": "5834588"}, {"ref": "boikodenys/exercise-random-forests", "kernel_id": "5904569"}, {"ref": "boikodenys/exercise-machine-learning-competitions", "kernel_id": "5904612"}, {"ref": "boikodenys/exercise-underfitting-and-overfitting", "kernel_id": "5877664"}, {"ref": "kefahaied/exercise-introduction", "kernel_id": "5170164"}, {"ref": "kefahaied/exercise-categorical-variables", "kernel_id": "5203231"}, {"ref": "kefahaied/exercise-machine-learning-competitions", "kernel_id": "5144575"}, {"ref": "kefahaied/exercise-random-forests", "kernel_id": "5630072"}, {"ref": "mittalh/exercise-machine-learning-competitions", "kernel_id": "5352423"}, {"ref": "neha0019/exercise-introduction", "kernel_id": "5131546"}, {"ref": "isrphiri/exercise-missing-values", "kernel_id": "5163094"}, {"ref": "abdulkareemrr/exercise-machine-learning-competitions", "kernel_id": "5690412"}, {"ref": "cereniyim/exercise-basic-data-exploration", "kernel_id": "5278853"}, {"ref": "cereniyim/exercise-random-forests", "kernel_id": "5194331"}, {"ref": "cereniyim/exercise-underfitting-and-overfitting", "kernel_id": "5193623"}, {"ref": "cereniyim/exercise-model-validation", "kernel_id": "5193100"}, {"ref": "cereniyim/exercise-your-first-machine-learning-model", "kernel_id": "5192781"}, {"ref": "cereniyim/exercise-machine-learning-competitions", "kernel_id": "5194451"}, {"ref": "cereniyim/exercise-introduction", "kernel_id": "5195088"}, {"ref": "cereniyim/exercise-missing-values", "kernel_id": "5195699"}, {"ref": "cereniyim/exercise-categorical-variables", "kernel_id": "5205996"}, {"ref": "cereniyim/exercise-data-leakage", "kernel_id": "5211321"}, {"ref": "cereniyim/exercise-xgboost", "kernel_id": "5210376"}, {"ref": "cereniyim/exercise-cross-validation", "kernel_id": "5208049"}, {"ref": "cereniyim/exercise-pipelines", "kernel_id": "5207237"}, {"ref": "hisyamhassan/exercise-introduction", "kernel_id": "5231273"}, {"ref": "dsposeidon/exercise-machine-learning-competitions", "kernel_id": "5336690"}, {"ref": "ritu1208/exercise-basic-data-exploration", "kernel_id": "5299065"}, {"ref": "ritu1208/exercise-your-first-machine-learning-model", "kernel_id": "5065816"}, {"ref": "mahaveer999/exercise-underfitting-and-overfitting", "kernel_id": "5851422"}, {"ref": "mahaveer999/exercise-underfitting-and-overfitting-2f45c9", "kernel_id": "5851478"}, {"ref": "mahaveer999/exercise-random-forests", "kernel_id": "5851576"}, {"ref": "mahaveer999/exercise-machine-learning-competitions", "kernel_id": "5851628"}, {"ref": "mahaveer999/exercise-model-validation", "kernel_id": "5833041"}, {"ref": "mahaveer999/exercise-your-first-machine-learning-model", "kernel_id": "5832201"}, {"ref": "tamil1503/fork-of-exercise-machine-learning-competitions", "kernel_id": "5370368"}, {"ref": "saisamyukta/exercise-machine-learning-competitions", "kernel_id": "5325108"}, {"ref": "mohamedalhawi/exercise-xgboost", "kernel_id": "5366474"}, {"ref": "mohamedalhawi/exercise-pipelines", "kernel_id": "5365192"}, {"ref": "mohamedalhawi/exercise-cross-validation", "kernel_id": "5365713"}, {"ref": "mohamedalhawi/exercise-data-leakage", "kernel_id": "5393643"}, {"ref": "mohamedalhawi/exercise-missing-values", "kernel_id": "5170046"}, {"ref": "mohamedalhawi/exercise-introduction", "kernel_id": "5169162"}, {"ref": "mohamedalhawi/exercise-categorical-variables", "kernel_id": "5202664"}, {"ref": "zengx515/exercise-machine-learning-competitions", "kernel_id": "5216475"}, {"ref": "hilel93/exercise-your-first-machine-learning-model", "kernel_id": "5067831"}, {"ref": "malhotra1432/exercise-machine-learning-competitions", "kernel_id": "5408642"}, {"ref": "akhileshwarsinghml/housing-price-competetion-st-kernel", "kernel_id": "5326462"}, {"ref": "zufarzaripov/exercise-data-leakage", "kernel_id": "5285275"}, {"ref": "zufarzaripov/exercise-xgboost", "kernel_id": "5233261"}, {"ref": "adroot/kernel1bbbc48410", "kernel_id": "5522685"}, {"ref": "jutt420/exercise-machine-learning-competitions", "kernel_id": "5072285"}, {"ref": "allendata/exercise-your-first-machine-learning-model", "kernel_id": "5158251"}, {"ref": "kamoako/exercise-introduction", "kernel_id": "5845930"}, {"ref": "samthrossell/exercise-machine-learning-competitions", "kernel_id": "5099400"}, {"ref": "iosamamostafa/exercise-your-first-machine-learning-model", "kernel_id": "5478856"}, {"ref": "shinem/exercise-categorical-variables", "kernel_id": "5456350"}, {"ref": "shinem/exercise-your-first-machine-learning-model", "kernel_id": "5394195"}, {"ref": "shinem/exercise-model-validation", "kernel_id": "5394905"}, {"ref": "shinem/exercise-machine-learning-competitions", "kernel_id": "5405153"}, {"ref": "shinem/exercise-random-forests", "kernel_id": "5405058"}, {"ref": "shinem/exercise-underfitting-and-overfitting", "kernel_id": "5404704"}, {"ref": "shinem/exercise-introduction", "kernel_id": "5413058"}, {"ref": "shinem/exercise-missing-values", "kernel_id": "5418904"}, {"ref": "forwet/exercise-model-validation", "kernel_id": "5120633"}, {"ref": "tuliochiodi/exercise-machine-learning-competitions", "kernel_id": "5723717"}, {"ref": "cgchiraggrg/exercise-basic-data-exploration", "kernel_id": "5233910"}, {"ref": "cgchiraggrg/exercise-underfitting-and-overfitting", "kernel_id": "5068554"}, {"ref": "cgchiraggrg/exercise-your-first-machine-learning-model", "kernel_id": "5067904"}, {"ref": "rezaehterami/exercise-machine-learning-competitions", "kernel_id": "5589046"}, {"ref": "aleksandrovich/models-ensemble-feature-engineering", "kernel_id": "5349674"}, {"ref": "aleksandrovich/exercise-pipelines", "kernel_id": "5335154"}, {"ref": "aleksandrovich/exercise-categorical-variables", "kernel_id": "5316141"}, {"ref": "aleksandrovich/exercise-machine-learning-competitions", "kernel_id": "5282022"}, {"ref": "vikulovvl/exercise-machine-learning-competitions", "kernel_id": "5731554"}, {"ref": "chrisoloo/exercise-machine-learning-competitions-daily", "kernel_id": "5672565"}, {"ref": "chrisoloo/exercise-xgboost", "kernel_id": "5675659"}, {"ref": "khanzzyyy/exercise-pipelines", "kernel_id": "5312625"}, {"ref": "sanjevareddych/exercise-machine-learning-competitions", "kernel_id": "5058029"}, {"ref": "vaishnavitiwari14/exercise-your-first-machine-learning-model", "kernel_id": "5366595"}, {"ref": "ishraralamcse1998/exercise-machine-learning-competitions", "kernel_id": "5316005"}, {"ref": "kocmac/exercise-introduction", "kernel_id": "5046305"}, {"ref": "ahmedsaqer/exercise-categorical-variables", "kernel_id": "5202851"}, {"ref": "ahmedsaqer/exercise-introduction", "kernel_id": "5169145"}, {"ref": "ahmedsaqer/exercise-missing-values", "kernel_id": "5170996"}, {"ref": "ahmedsaqer/exercise-your-first-machine-learning-model", "kernel_id": "5140718"}, {"ref": "ahmedsaqer/exercise-machine-learning-competitions", "kernel_id": "5073251"}, {"ref": "alasahiatus/exercise-machine-learning-competitions", "kernel_id": "5254944"}, {"ref": "huangmei139/exercise-machine-learning-competitions", "kernel_id": "5067973"}, {"ref": "johnrest/exercise-introduction", "kernel_id": "5910292"}, {"ref": "tzill88/exercise-machine-learning-competitions", "kernel_id": "5103705"}, {"ref": "sjstarkiller/exercise-categorical-variables", "kernel_id": "5256976"}, {"ref": "sjstarkiller/exercise-missing-values", "kernel_id": "5262854"}, {"ref": "sjstarkiller/exercise-pipelines", "kernel_id": "5284522"}, {"ref": "sjstarkiller/exercise-data-leakage", "kernel_id": "5299699"}, {"ref": "sjstarkiller/exercise-xgboost", "kernel_id": "5297664"}, {"ref": "sjstarkiller/exercise-cross-validation", "kernel_id": "5296219"}, {"ref": "vpettori/exercise-basic-data-exploration", "kernel_id": "5176533"}, {"ref": "vpettori/exercise-random-forests", "kernel_id": "5195364"}, {"ref": "vpettori/exercise-machine-learning-competitions", "kernel_id": "5195374"}, {"ref": "arijmemo/exercise-missing-values", "kernel_id": "5267987"}, {"ref": "salahuddinemr/exercise-introduction", "kernel_id": "5169128"}, {"ref": "salahuddinemr/exercise-missing-values", "kernel_id": "5169903"}, {"ref": "salahuddinemr/exercise-categorical-variables", "kernel_id": "5202769"}, {"ref": "salahuddinemr/exercise-your-first-machine-learning-model", "kernel_id": "5011708"}, {"ref": "salahuddinemr/exercise-basic-data-exploration", "kernel_id": "5033704"}, {"ref": "salahuddinemr/exercise-model-validation", "kernel_id": "5035647"}, {"ref": "salahuddinemr/exercise-underfitting-and-overfitting", "kernel_id": "5036112"}, {"ref": "salahuddinemr/exercise-random-forests", "kernel_id": "5125250"}, {"ref": "salahuddinemr/exercise-machine-learning-competitions", "kernel_id": "5122672"}, {"ref": "salahuddinemr/exercise-xgboost", "kernel_id": "5366654"}, {"ref": "salahuddinemr/exercise-cross-validation", "kernel_id": "5365603"}, {"ref": "salahuddinemr/exercise-pipelines", "kernel_id": "5365162"}, {"ref": "salahuddinemr/exercise-data-leakage", "kernel_id": "5393656"}, {"ref": "zuhdiabyjayyab/exercise-xgboost", "kernel_id": "5367071"}, {"ref": "zuhdiabyjayyab/exercise-cross-validation", "kernel_id": "5365699"}, {"ref": "zuhdiabyjayyab/exercise-pipelines", "kernel_id": "5365153"}, {"ref": "zuhdiabyjayyab/exercise-machine-learning-competitions", "kernel_id": "5073258"}, {"ref": "zuhdiabyjayyab/exercise-random-forests", "kernel_id": "5073029"}, {"ref": "zuhdiabyjayyab/exercise-underfitting-and-overfitting", "kernel_id": "5036104"}, {"ref": "zuhdiabyjayyab/exercise-your-first-machine-learning-model", "kernel_id": "5011720"}, {"ref": "zuhdiabyjayyab/exercise-categorical-variables", "kernel_id": "5203208"}, {"ref": "zuhdiabyjayyab/exercise-missing-values", "kernel_id": "5170028"}, {"ref": "zuhdiabyjayyab/exercise-introduction", "kernel_id": "5169185"}, {"ref": "amamashat/exercise-introduction", "kernel_id": "5169148"}, {"ref": "amamashat/exercise-missing-values", "kernel_id": "5170043"}, {"ref": "amamashat/exercise-categorical-variables", "kernel_id": "5203207"}, {"ref": "amamashat/exercise-cross-validation", "kernel_id": "5365642"}, {"ref": "amamashat/exercise-xgboost", "kernel_id": "5367043"}, {"ref": "amamashat/exercise-pipelines", "kernel_id": "5365145"}, {"ref": "amamashat/exercise-model-validation", "kernel_id": "5353885"}, {"ref": "amamashat/exercise-underfitting-and-overfitting", "kernel_id": "5354669"}, {"ref": "amamashat/exercise-random-forests", "kernel_id": "5356337"}, {"ref": "amamashat/exercise-your-first-machine-learning-model", "kernel_id": "5337464"}, {"ref": "amamashat/exercise-data-leakage", "kernel_id": "5393762"}, {"ref": "amamashat/exercise-machine-learning-competitions", "kernel_id": "5420494"}, {"ref": "taherana/exercise-xgboost", "kernel_id": "5463258"}, {"ref": "taherana/exercise-xgboost-grid-search", "kernel_id": "5463390"}, {"ref": "taherana/exercise-data-leakage", "kernel_id": "5393648"}, {"ref": "taherana/exercise-pipelines", "kernel_id": "5365320"}, {"ref": "taherana/exercise-cross-validation", "kernel_id": "5365743"}, {"ref": "taherana/exercise-machine-learning-competitions", "kernel_id": "5131081"}, {"ref": "taherana/exercise-random-forests", "kernel_id": "5073032"}, {"ref": "taherana/exercise-your-first-machine-learning-model", "kernel_id": "5011725"}, {"ref": "taherana/exercise-underfitting-and-overfitting", "kernel_id": "5036098"}, {"ref": "taherana/exercise-categorical-variables", "kernel_id": "5203229"}, {"ref": "taherana/exercise-missing-values", "kernel_id": "5170006"}, {"ref": "taherana/exercise-introduction", "kernel_id": "5169179"}, {"ref": "taherana/exercise-model-validation", "kernel_id": "5174642"}, {"ref": "taherana/exercise-basic-data-exploration", "kernel_id": "5172249"}, {"ref": "yusuef96/exercise-machine-learning-competitions", "kernel_id": "5133240"}, {"ref": "fahjan/exercise-random-forests", "kernel_id": "5073061"}, {"ref": "fahjan/exercise-machine-learning-competitions", "kernel_id": "5073240"}, {"ref": "fahjan/exercise-your-first-machine-learning-model", "kernel_id": "5011735"}, {"ref": "fahjan/exercise-introduction", "kernel_id": "5169218"}, {"ref": "fahjan/exercise-cross-validation", "kernel_id": "5365745"}, {"ref": "fahjan/exercise-xgboost", "kernel_id": "5366673"}, {"ref": "fahjan/exercise-pipelines", "kernel_id": "5365173"}, {"ref": "fahjan/exercise-model-validation", "kernel_id": "5385996"}, {"ref": "fahjan/exercise-underfitting-and-overfitting", "kernel_id": "5391435"}, {"ref": "ahmedmarzoq/exercise-categorical-variables-bed39b", "kernel_id": "5391000"}, {"ref": "ahmedmarzoq/exercise-data-leakage", "kernel_id": "5393712"}, {"ref": "ahmedmarzoq/exercise-xgboost", "kernel_id": "5367017"}, {"ref": "ahmedmarzoq/exercise-cross-validation", "kernel_id": "5365750"}, {"ref": "ahmedmarzoq/exercise-introduction", "kernel_id": "5169163"}, {"ref": "ahmedmarzoq/exercise-missing-values", "kernel_id": "5170050"}, {"ref": "ahmedmarzoq/exercise-categorical-variables", "kernel_id": "5203232"}, {"ref": "ahmedmarzoq/exercise-underfitting-and-overfitting", "kernel_id": "5036105"}, {"ref": "ahmedmarzoq/exercise-machine-learning-competitions", "kernel_id": "5073299"}, {"ref": "ahmedmarzoq/exercise-random-forests", "kernel_id": "5073059"}, {"ref": "qinhuiwenwang/exercise-model-validation", "kernel_id": "5031433"}, {"ref": "qinhuiwenwang/exercise-underfitting-and-overfitting", "kernel_id": "5033360"}, {"ref": "qinhuiwenwang/exercise-machine-learning-competitions", "kernel_id": "5039024"}, {"ref": "qinhuiwenwang/exercise-random-forests", "kernel_id": "5038935"}, {"ref": "harjeet31/exercise-underfitting-and-overfitting", "kernel_id": "5992438"}, {"ref": "tayeh94/exercise-underfitting-and-overfitting", "kernel_id": "5036094"}, {"ref": "tayeh94/exercise-your-first-machine-learning-model", "kernel_id": "5011721"}, {"ref": "nouradwai/exercise-cross-validation", "kernel_id": "5365767"}, {"ref": "nouradwai/exercise-xgboost", "kernel_id": "5367029"}, {"ref": "nouradwai/exercise-pipelines", "kernel_id": "5365151"}, {"ref": "nouradwai/exercise-data-leakage", "kernel_id": "5394373"}, {"ref": "nouradwai/exercise-your-first-machine-learning-model", "kernel_id": "5011755"}, {"ref": "nouradwai/exercise-model-validation", "kernel_id": "5133545"}, {"ref": "nouradwai/home-price-underfitting-and-overfitting", "kernel_id": "5134202"}, {"ref": "nouradwai/exercise-machine-learning-competitions", "kernel_id": "5133770"}, {"ref": "nouradwai/exercise-random-forests", "kernel_id": "5142991"}, {"ref": "nouradwai/exercise-missing-values", "kernel_id": "5171013"}, {"ref": "nouradwai/exercise-introduction", "kernel_id": "5169302"}, {"ref": "nouradwai/exercise-categorical-variables", "kernel_id": "5203174"}, {"ref": "abrarhossainhimself/exercise-machine-learning-competitions", "kernel_id": "5893695"}, {"ref": "ahmedghalebalmaliki/exercise-machine-learning-competitions", "kernel_id": "5816674"}, {"ref": "manpreetk7/exercise-machine-learning-competitions", "kernel_id": "5084138"}, {"ref": "angelndevil2/exercise-introduction", "kernel_id": "5017987"}, {"ref": "angelndevil2/housing-price-ridge-vs-ols", "kernel_id": "5451898"}, {"ref": "angelndevil2/housing-price-ridge-regression", "kernel_id": "5449438"}, {"ref": "angelndevil2/housing-price-gridsearch-for-ridge-regression", "kernel_id": "5459811"}, {"ref": "angelndevil2/housing-price-lasso", "kernel_id": "5457686"}, {"ref": "angelndevil2/housing-price-ols-linear-regression-2", "kernel_id": "5411558"}, {"ref": "angelndevil2/housing-price-ols-linear-regression-4", "kernel_id": "5432983"}, {"ref": "angelndevil2/housing-price-ols-linear-regression-3", "kernel_id": "5423498"}, {"ref": "angelndevil2/housing-price-ols-linear-regression-1", "kernel_id": "5394360"}, {"ref": "angelndevil2/exercise-machine-learning-competitions", "kernel_id": "5328232"}, {"ref": "yusueframadan/exercise-underfitting-and-overfitting", "kernel_id": "5036093"}, {"ref": "yusueframadan/exercise-model-validation", "kernel_id": "5035713"}, {"ref": "yusueframadan/exercise-machine-learning-competitions", "kernel_id": "5073441"}, {"ref": "yusueframadan/exercise-random-forests", "kernel_id": "5073060"}, {"ref": "yusueframadan/exercise-your-first-machine-learning-model", "kernel_id": "5107159"}, {"ref": "yusueframadan/exercise-missing-values", "kernel_id": "5169636"}, {"ref": "yusueframadan/exercise-introduction", "kernel_id": "5169139"}, {"ref": "yusueframadan/exercise-categorical-variables", "kernel_id": "5203239"}, {"ref": "yusueframadan/exercise-pipelines", "kernel_id": "5361096"}, {"ref": "yusueframadan/exercise-xgboost", "kernel_id": "5366455"}, {"ref": "yusueframadan/exercise-categorical-variables-9f9c79", "kernel_id": "5365354"}, {"ref": "yusueframadan/exercise-cross-validation", "kernel_id": "5365510"}, {"ref": "yusueframadan/exercise-data-leakage", "kernel_id": "5423469"}, {"ref": "yusueframadan/exercise-xgboost-grid-search", "kernel_id": "5551335"}, {"ref": "amnaafifi/exercise-data-leakage", "kernel_id": "5394377"}, {"ref": "amnaafifi/exercise-underfitting-and-overfitting", "kernel_id": "5386453"}, {"ref": "amnaafifi/fork-of-exercise-your-first-machine-learning-mode", "kernel_id": "5387383"}, {"ref": "amnaafifi/exercise-model-validation", "kernel_id": "5387778"}, {"ref": "amnaafifi/exercise-xgboost", "kernel_id": "5367100"}, {"ref": "amnaafifi/exercise-cross-validation", "kernel_id": "5365519"}, {"ref": "amnaafifi/exercise-pipelines", "kernel_id": "5365172"}, {"ref": "amnaafifi/exercise-basic-data-exploration", "kernel_id": "5205112"}, {"ref": "amnaafifi/exercise-categorical-variables", "kernel_id": "5202806"}, {"ref": "amnaafifi/exercise-missing-values", "kernel_id": "5169617"}, {"ref": "amnaafifi/exercise-introduction", "kernel_id": "5169160"}, {"ref": "amnaafifi/exercise-random-forests", "kernel_id": "5073063"}, {"ref": "amnaafifi/exercise-machine-learning-competitions", "kernel_id": "5073430"}, {"ref": "amnaafifi/exercise-your-first-machine-learning-model", "kernel_id": "5011757"}, {"ref": "samahkullab/exercise-pipelines", "kernel_id": "5365190"}, {"ref": "samahkullab/exercise-random-forests", "kernel_id": "5361415"}, {"ref": "samahkullab/exercise-cross-validation", "kernel_id": "5365747"}, {"ref": "samahkullab/exercise-machine-learning-competitions", "kernel_id": "5329830"}, {"ref": "samahkullab/exercise-underfitting-and-overfitting", "kernel_id": "5330696"}, {"ref": "samahkullab/exercise-data-leakage", "kernel_id": "5393708"}, {"ref": "samahkullab/exercise-missing-values", "kernel_id": "5524281"}, {"ref": "samahkullab/exercise-categorical-variables", "kernel_id": "5626394"}, {"ref": "samahkullab/exercise-xgboost", "kernel_id": "5802628"}, {"ref": "smlopezza/exercise-missing-values", "kernel_id": "5516458"}, {"ref": "smlopezza/exercise-your-first-machine-learning-model", "kernel_id": "5159128"}, {"ref": "smlopezza/exercise-basic-data-exploration", "kernel_id": "5158970"}, {"ref": "smlopezza/exercise-underfitting-and-overfitting", "kernel_id": "5159782"}, {"ref": "smlopezza/exercise-model-validation", "kernel_id": "5159439"}, {"ref": "smlopezza/exercise-random-forests", "kernel_id": "5160002"}, {"ref": "esraa966/exercise-model-validation", "kernel_id": "5035745"}, {"ref": "esraa966/exercise-underfitting-and-overfitting", "kernel_id": "5036032"}, {"ref": "esraa966/exercise-random-forests", "kernel_id": "5074289"}, {"ref": "esraa966/exercise-introduction", "kernel_id": "5169366"}, {"ref": "esraa966/exercise-missing-values-542fa5", "kernel_id": "5169583"}, {"ref": "esraa966/exercise-categorical-variables", "kernel_id": "5202729"}, {"ref": "esraa966/exercise-data-leakage", "kernel_id": "5393721"}, {"ref": "esraa966/exercise-xgboost", "kernel_id": "5428613"}, {"ref": "esraa966/exercise-pipelines", "kernel_id": "5818050"}, {"ref": "kadriyeaksakal/exercise-basic-data-exploration", "kernel_id": "5040745"}, {"ref": "alphapruned/exercise-machine-learning-competitions", "kernel_id": "5058467"}, {"ref": "aersen/exercise-machine-learning-competitions", "kernel_id": "5364284"}, {"ref": "adityakernel/exercise-machine-learning-competitions", "kernel_id": "5096227"}, {"ref": "bournej169/exercise-introduction", "kernel_id": "5156439"}, {"ref": "muzahidul/exercise-basic-data-exploration", "kernel_id": "5260131"}, {"ref": "epikjjh/exercise-introduction", "kernel_id": "5184605"}, {"ref": "rlebre/exercise-machine-learning-competitions", "kernel_id": "5124174"}, {"ref": "archiac/exercise-model-validation", "kernel_id": "5106934"}, {"ref": "ibolatkhan/exercise-machine-learning-competitions", "kernel_id": "5186692"}, {"ref": "kiranravi6295/exercise-machine-learning-competitions", "kernel_id": "5262339"}, {"ref": "igordata/exercise-machine-learning-competitions", "kernel_id": "5673704"}, {"ref": "olga77/exercise-missing-values", "kernel_id": "5431920"}, {"ref": "olga77/exercise-categorical-variables", "kernel_id": "5604042"}, {"ref": "gabrielfprimo/exercise-machine-learning-competitions", "kernel_id": "5439305"}, {"ref": "murphanator/exercise-machine-learning-competitions", "kernel_id": "5391830"}, {"ref": "zhangxueqiong1116/exercise-introduction", "kernel_id": "5449076"}, {"ref": "nikhilrajrs/exercise-machine-learning-competitions", "kernel_id": "5293463"}, {"ref": "c1c3r0lud0/exercise-cross-validation", "kernel_id": "5644406"}, {"ref": "c1c3r0lud0/exercise-categorical-variables", "kernel_id": "5571558"}, {"ref": "aazar0917/exercise-machine-learning-competitions", "kernel_id": "5518595"}, {"ref": "danielwhiteside/exercise-machine-learning-competitions", "kernel_id": "5229480"}, {"ref": "akshaymalviya/exercise-basic-data-exploration", "kernel_id": "5264371"}, {"ref": "akshaymalviya/exercise-your-first-machine-learning-model", "kernel_id": "5264386"}, {"ref": "akshaymalviya/exercise-machine-learning-competitions", "kernel_id": "5404473"}, {"ref": "akshaymalviya/exercise-random-forests", "kernel_id": "5373544"}, {"ref": "akshaymalviya/exercise-underfitting-and-overfitting", "kernel_id": "5372566"}, {"ref": "akshaymalviya/exercise-model-validation", "kernel_id": "5371535"}, {"ref": "detolah/exercise-your-first-machine-learning-model", "kernel_id": "5425350"}, {"ref": "detolah/exercise-random-forests", "kernel_id": "5444025"}, {"ref": "detolah/exercise-xgboost", "kernel_id": "5724529"}, {"ref": "lvlinh96/exercise-machine-learning-competitions", "kernel_id": "5451825"}, {"ref": "akinremibunmi/exercise-introduction", "kernel_id": "5354409"}, {"ref": "mjcolon218/exercise-machine-learning-competitions", "kernel_id": "5635299"}, {"ref": "maroskog/exercise-machine-learning-competitions", "kernel_id": "5732862"}, {"ref": "kombol/exercise-machine-learning-competitions", "kernel_id": "5365505"}, {"ref": "lapdacosta/exercise-machine-learning-competitions", "kernel_id": "5480432"}, {"ref": "okiane/exercise-model-validation", "kernel_id": "5382641"}, {"ref": "okiane/exercise-underfitting-and-overfitting", "kernel_id": "5382766"}, {"ref": "okiane/exercise-random-forests", "kernel_id": "5382847"}, {"ref": "okiane/exercise-machine-learning-competitions", "kernel_id": "5382884"}, {"ref": "okiane/exercise-your-first-machine-learning-model", "kernel_id": "5382352"}, {"ref": "arpcode/exercise-machine-learning-competitions", "kernel_id": "5345748"}, {"ref": "chaudharisarvesh/exercise-machine-learning-competitions", "kernel_id": "5530876"}, {"ref": "anyanqing/exercise-machine-learning-competitions", "kernel_id": "5519550"}, {"ref": "anyanqing/exercise-introduction", "kernel_id": "5738262"}, {"ref": "killerbunny/first-ml-competition-trial", "kernel_id": "5410084"}, {"ref": "prayashkrsaha/exercise-introduction", "kernel_id": "5597422"}, {"ref": "prayashkrsaha/exercise-missing-values", "kernel_id": "5858240"}, {"ref": "avinashb98/random-forests", "kernel_id": "5458103"}, {"ref": "olafjarroyo/exercise-machine-learning-competitions", "kernel_id": "5456246"}, {"ref": "donataban/exercise-machine-learning-competitions", "kernel_id": "5631134"}, {"ref": "murkasad/exercise-machine-learning-competitions", "kernel_id": "5404953"}, {"ref": "kiverad/exercise-machine-learning-competitions", "kernel_id": "5404794"}, {"ref": "jmhuertasg/exercise-basic-data-exploration-daily", "kernel_id": "5784579"}, {"ref": "jmhuertasg/exercise-your-first-machine-learning-model", "kernel_id": "5836096"}, {"ref": "vasimsh/exercise-missing-values", "kernel_id": "5779637"}, {"ref": "aldemas/exercise-random-forests", "kernel_id": "5457773"}, {"ref": "aldemas/exercise-machine-learning-competitions", "kernel_id": "5457985"}, {"ref": "abhisheks02/exercise-machine-learning-competitions", "kernel_id": "5455753"}, {"ref": "nguyenquanghuyvub/exercise-machine-learning-competitions", "kernel_id": "5862942"}, {"ref": "irbraga/exercise-your-first-machine-learning-model", "kernel_id": "5472475"}, {"ref": "sanuwade/exercise-machine-learning-competitions", "kernel_id": "5627808"}, {"ref": "jarrous/exercise-machine-learning-competitions", "kernel_id": "5621217"}, {"ref": "jarrous/exercise-missing-values", "kernel_id": "5642785"}, {"ref": "trent0/house-competition-with-everything", "kernel_id": "5591295"}, {"ref": "soobinckim/exercise-machine-learning-competitions", "kernel_id": "5560210"}, {"ref": "saketgarodia1/exercise-machine-learning-competitions", "kernel_id": "5528347"}, {"ref": "mjcislak/exercise-machine-learning-competitions", "kernel_id": "5733989"}, {"ref": "paretogp/exercise-missing-values", "kernel_id": "5600472"}, {"ref": "patelj/exercise-missing-values", "kernel_id": "5935141"}, {"ref": "patelj/exercise-categorical-variables", "kernel_id": "5948812"}, {"ref": "patelj/exercise-pipelines", "kernel_id": "5962431"}, {"ref": "henwoodf/exercise-missing-values", "kernel_id": "5609289"}, {"ref": "mehwishtariq/exercise-random-forests", "kernel_id": "5808584"}, {"ref": "mehwishtariq/exercise-machine-learning-competitions", "kernel_id": "5808719"}, {"ref": "adityasanivarapu/exercise-introduction", "kernel_id": "5754936"}, {"ref": "tomassl/exercise-machine-learning-competitions", "kernel_id": "5633468"}, {"ref": "karmav/exercise-categorical-variables", "kernel_id": "5630436"}, {"ref": "eavprog/exercise-underfitting-and-overfitting", "kernel_id": "5703189"}, {"ref": "eavprog/exercise-machine-learning-competitions", "kernel_id": "5704671"}, {"ref": "eavprog/exercise-random-forests", "kernel_id": "5703732"}, {"ref": "eavprog/exercise-your-first-machine-learning-model", "kernel_id": "5673639"}, {"ref": "eavprog/exercise-model-validation", "kernel_id": "5674405"}, {"ref": "eavprog/exercise-data-leakage", "kernel_id": "5792251"}, {"ref": "eavprog/exercise-xgboost", "kernel_id": "5790499"}, {"ref": "eavprog/exercise-cross-validation", "kernel_id": "5780093"}, {"ref": "eavprog/exercise-pipelines", "kernel_id": "5779260"}, {"ref": "eavprog/exercise-categorical-variables", "kernel_id": "5768103"}, {"ref": "eavprog/exercise-introduction", "kernel_id": "5754655"}, {"ref": "eavprog/exercise-missing-values", "kernel_id": "5765869"}, {"ref": "erictheraven/exercise-introduction", "kernel_id": "5752249"}, {"ref": "extremelysunnyyk/exercise-model-validation", "kernel_id": "5755045"}, {"ref": "udayag/exercise-introduction", "kernel_id": "5720716"}, {"ref": "bdory79/exercise-missing-values", "kernel_id": "5956079"}, {"ref": "smith890/get-a-nice-output", "kernel_id": "5735276"}, {"ref": "kmanadkat/exercise-machine-learning-competitions", "kernel_id": "5766127"}, {"ref": "zzpenguine/exercise-machine-learning-competitions", "kernel_id": "5867009"}, {"ref": "meckwarrior/exercise-machine-learning-competitions", "kernel_id": "5863185"}, {"ref": "josesprom2/exercise-machine-learning-competitions", "kernel_id": "5779715"}, {"ref": "dabarre/exercise-machine-learning-competitions", "kernel_id": "5804656"}, {"ref": "vbart15/exercise-machine-learning-competitions", "kernel_id": "5785120"}, {"ref": "jayakanthr/exercise-machine-learning-competitions", "kernel_id": "5771975"}, {"ref": "ameeragh/kernel4accbb9119", "kernel_id": "5956466"}, {"ref": "rahaf1418/exercise-missing-values", "kernel_id": "5956063"}, {"ref": "adiguno/exercise-machine-learning-competitions", "kernel_id": "5810534"}, {"ref": "shinze322/exercise-machine-learning-competitions", "kernel_id": "5801531"}, {"ref": "choi98/house-price-predict", "kernel_id": "5853718"}, {"ref": "starbuucks/housing-prices-data-analysis", "kernel_id": "5935186"}, {"ref": "starbuucks/housing-prices-after-manual-data-analysis", "kernel_id": "5961431"}, {"ref": "starbuucks/housing-prices-apply-intermediate-courses", "kernel_id": "5992491"}, {"ref": "starbuucks/housing-prices-practice", "kernel_id": "5855779"}, {"ref": "starbuucks/housing-price-try2", "kernel_id": "5863727"}, {"ref": "petethepunk/exercise-machine-learning-competitions", "kernel_id": "5942338"}, {"ref": "sandeepsak/exercise-machine-learning-competitions", "kernel_id": "5999146"}, {"ref": "oogaboogabooga/exercise-machine-learning-competitions", "kernel_id": "5956156"}, {"ref": "pramodh/exercise-pipelines", "kernel_id": "6411504"}, {"ref": "zhensongren/exercise-categorical-variables", "kernel_id": "6718570"}, {"ref": "mbilalshaikh/exercise-machine-learning-competitions", "kernel_id": "6424799"}, {"ref": "victorsaenz/exercise-introduction", "kernel_id": "6872336"}, {"ref": "victorsaenz/exercise-machine-learning-competitions", "kernel_id": "6865162"}, {"ref": "subbuvolvosekar/exercise-machine-learning-competitions", "kernel_id": "6756950"}, {"ref": "subbuvolvosekar/top-3-house-price-eda-xgboost-gridsearchcv", "kernel_id": "6761377"}, {"ref": "races1986/exercise-introduction", "kernel_id": "6807026"}, {"ref": "cache266039/kernel6aa0da95f3", "kernel_id": "6087598"}, {"ref": "sahilmahajan/exercise-categorical-variables", "kernel_id": "6908790"}, {"ref": "jijosunny/exercise-machine-learning-competitions-3bfa4e", "kernel_id": "6502093"}, {"ref": "xwolf12/exercise-missing-values", "kernel_id": "6521670"}, {"ref": "xwolf12/exercise-introduction", "kernel_id": "6425002"}, {"ref": "xwolf12/exercise-pipelines", "kernel_id": "6649657"}, {"ref": "xwolf12/exercise-cross-validation", "kernel_id": "6767379"}, {"ref": "xwolf12/exercise-xgboost", "kernel_id": "6768742"}, {"ref": "user345367/exercise-machine-learning-competitions", "kernel_id": "6295222"}, {"ref": "kothawdaegs/exercise-introduction", "kernel_id": "6342932"}, {"ref": "basckerwil/exercise-machine-learning-competitions", "kernel_id": "6383284"}, {"ref": "lmortelecque/kernel54b26cd714", "kernel_id": "6976481"}, {"ref": "abahnasy/exercise-machine-learning-competitions", "kernel_id": "6200416"}, {"ref": "christianhritter/exercise-introduction", "kernel_id": "6786099"}, {"ref": "neha007/data-cleaning-housing-prices", "kernel_id": "6694375"}, {"ref": "sowbarani/my-exercise-machine-learning-competitions", "kernel_id": "6339961"}, {"ref": "sowbarani/my-exercise-your-first-machine-learning-model", "kernel_id": "6320336"}, {"ref": "sowbarani/my-exercise-model-validation", "kernel_id": "6323327"}, {"ref": "sowbarani/my-exercise-pipelines", "kernel_id": "6532631"}, {"ref": "sowbarani/my-exercise-categorical-variables", "kernel_id": "6245819"}, {"ref": "sowbarani/my-exercise-cross-validation", "kernel_id": "6542225"}, {"ref": "sowbarani/my-exercise-xgboost", "kernel_id": "6552796"}, {"ref": "alexkeila/housing-prices-competition-v2", "kernel_id": "6556633"}, {"ref": "pointhex/exercise-introduction", "kernel_id": "6178315"}, {"ref": "sbhunia7675/exercise-introduction", "kernel_id": "6664963"}, {"ref": "nekehulu/exercise-machine-learning-competitions", "kernel_id": "6723121"}, {"ref": "nekehulu/exercise-introduction", "kernel_id": "6751904"}, {"ref": "edgarweto/exercise-introduction", "kernel_id": "6720326"}, {"ref": "antoniozs/exercise-introduction", "kernel_id": "6507250"}, {"ref": "akashjobanputra/exercise-machine-learning-competitions", "kernel_id": "6334598"}, {"ref": "sandhaya4u/exercise-underfitting-and-overfitting-daily", "kernel_id": "6470561"}, {"ref": "sandhaya4u/exercise-random-forests-daily", "kernel_id": "6484911"}, {"ref": "sandhaya4u/exercise-basic-data-exploration-daily", "kernel_id": "6415651"}, {"ref": "sandhaya4u/exercise-model-validation-daily", "kernel_id": "6453647"}, {"ref": "sandhaya4u/exercise-your-first-machine-learning-model-daily", "kernel_id": "6439121"}, {"ref": "amistri/exercise-machine-learning-competitions", "kernel_id": "6022968"}, {"ref": "inshal/exercise-introduction", "kernel_id": "6973645"}, {"ref": "xavya77/exercise-machine-learning-competitions", "kernel_id": "6786189"}, {"ref": "falkhan/exercise-missing-values", "kernel_id": "6934681"}, {"ref": "plemosp/exercise-introduction", "kernel_id": "6408445"}, {"ref": "tammish/exercise-introduction", "kernel_id": "6860413"}, {"ref": "abeerabuzayed/housing-prices-competition-xgboost", "kernel_id": "6369710"}, {"ref": "baldwin11/exercise-missing-values", "kernel_id": "6924399"}, {"ref": "adrick/exercise-machine-learning-competitions", "kernel_id": "6856017"}, {"ref": "syedsaadali/exercise-your-first-machine-learning-model", "kernel_id": "6801623"}, {"ref": "syedsaadali/exercise-model-validation", "kernel_id": "6802656"}, {"ref": "syedsaadali/exercise-random-forests", "kernel_id": "6904010"}, {"ref": "syedsaadali/exercise-underfitting-and-overfitting", "kernel_id": "6902396"}, {"ref": "galleonchestnut/exercise-cross-validation", "kernel_id": "6045081"}, {"ref": "vinner94/exercise-machine-learning-competitions", "kernel_id": "6488226"}, {"ref": "ankitbhowmick1989/exercise-random-forests", "kernel_id": "6338174"}, {"ref": "ankitbhowmick1989/exercise-machine-learning-competitions", "kernel_id": "6338270"}, {"ref": "ankitbhowmick1989/exercise-missing-values", "kernel_id": "6344899"}, {"ref": "ankitbhowmick1989/exercise-pipelines", "kernel_id": "6366962"}, {"ref": "ankitbhowmick1989/exercise-data-leakage", "kernel_id": "6375276"}, {"ref": "alabouchsalaheddine/exercise-machine-learning-competitions", "kernel_id": "6424121"}, {"ref": "elkyai/exercise-machine-learning-competitions", "kernel_id": "6221266"}, {"ref": "teddylee777/ultimate-data-exploration-preprocessing-1", "kernel_id": "6676980"}, {"ref": "carlodavid012/exercise-introduction", "kernel_id": "6239374"}, {"ref": "dandykennedy/exercise-introduction", "kernel_id": "6087042"}, {"ref": "arycloud7/kernelbe980ff24a", "kernel_id": "6425880"}, {"ref": "menglecho/exercise-introduction", "kernel_id": "6946459"}, {"ref": "ashrafr/exercise-machine-learning-competitions", "kernel_id": "6179946"}, {"ref": "nairibaghdasaryan/exercise-machine-learning-competitions", "kernel_id": "6922302"}, {"ref": "nairibaghdasaryan/exercise-your-first-machine-learning-model", "kernel_id": "6888886"}, {"ref": "beamers/exercise-categorical-variables", "kernel_id": "6409813"}, {"ref": "beamers/exercise-missing-values", "kernel_id": "6409426"}, {"ref": "beamers/exercise-cross-validation", "kernel_id": "6410285"}, {"ref": "beamers/exercise-pipelines", "kernel_id": "6410093"}, {"ref": "beamers/exercise-xgboost", "kernel_id": "6410443"}, {"ref": "beamers/exercise-data-leakage", "kernel_id": "6410592"}, {"ref": "hsiaochu/exercise-machine-learning-competitions", "kernel_id": "6295028"}, {"ref": "manish25297/kernel1f999eb479", "kernel_id": "6247998"}, {"ref": "gameravi/kerneleeab74e0c9", "kernel_id": "6847747"}, {"ref": "contentmaydiffer/exercise-introduction", "kernel_id": "6146801"}, {"ref": "elikapati/exercise-underfitting-and-overfitting", "kernel_id": "6921466"}, {"ref": "elikapati/exercise-model-validation", "kernel_id": "6919870"}, {"ref": "elikapati/exercise-your-first-machine-learning-model", "kernel_id": "6919505"}, {"ref": "elikapati/exercise-introduction", "kernel_id": "6930949"}, {"ref": "elikapati/exercise-random-forests", "kernel_id": "6923536"}, {"ref": "elikapati/exercise-machine-learning-competitions", "kernel_id": "6923618"}, {"ref": "elikapati/exercise-data-leakage", "kernel_id": "6971521"}, {"ref": "elikapati/exercise-xgboost", "kernel_id": "6971464"}, {"ref": "elikapati/exercise-cross-validation", "kernel_id": "6968655"}, {"ref": "elikapati/exercise-pipelines", "kernel_id": "6968454"}, {"ref": "elikapati/exercise-categorical-variables", "kernel_id": "6956793"}, {"ref": "elikapati/exercise-missing-values", "kernel_id": "6956048"}, {"ref": "rahimkoura/exercise-categorical-variables", "kernel_id": "6838864"}, {"ref": "talk2ranjanktr/exercise-missing-values", "kernel_id": "6918047"}, {"ref": "ahmedmkhalifa/exercise-your-first-machine-learning-model", "kernel_id": "6078602"}, {"ref": "ahmedmkhalifa/exercise-machine-learning-competitions", "kernel_id": "6080381"}, {"ref": "ahmedmkhalifa/exercise-underfitting-and-overfitting", "kernel_id": "6195101"}, {"ref": "ahmedmkhalifa/exercise-model-validation", "kernel_id": "6194336"}, {"ref": "ahmedmkhalifa/exercise-random-forests", "kernel_id": "6195446"}, {"ref": "kgathig/exercise-introduction", "kernel_id": "6216611"}, {"ref": "kgathig/exercise-machine-learning-competitions", "kernel_id": "6182601"}, {"ref": "nmacoir/exercise-introduction", "kernel_id": "6306357"}, {"ref": "janani271/exercise-machine-learning-competitions", "kernel_id": "6786429"}, {"ref": "janani271/exercise-categorical-variables", "kernel_id": "6789270"}, {"ref": "yueqiang/exercise-categorical-variables", "kernel_id": "6497486"}, {"ref": "yusufnur99/exercise-your-first-machine-learning-model", "kernel_id": "6956186"}, {"ref": "giorgiabes/exercise-machine-learning-competitions", "kernel_id": "6552948"}, {"ref": "giorgiabes/exercise-introduction", "kernel_id": "6553945"}, {"ref": "alinashmain97/exercise-your-first-machine-learning-model", "kernel_id": "6043924"}, {"ref": "alinashmain97/exercise-model-validation", "kernel_id": "6057208"}, {"ref": "alinashmain97/exercise-underfitting-and-overfitting", "kernel_id": "6057339"}, {"ref": "aaysbt/house-price-eda-model-predictions", "kernel_id": "6198205"}, {"ref": "aaysbt/finding-features-for-the-model", "kernel_id": "6349079"}, {"ref": "gauravanenthusiast/randomforest-model", "kernel_id": "6354884"}, {"ref": "deepika24goyal/exercise-random-forests", "kernel_id": "6109868"}, {"ref": "deepika24goyal/exercise-underfitting-and-overfitting", "kernel_id": "6109054"}, {"ref": "deepika24goyal/exercise-model-validation", "kernel_id": "6104910"}, {"ref": "deepika24goyal/exercise-your-first-machine-learning-model", "kernel_id": "6099126"}, {"ref": "ponnet/home-pricing-predictive-model-final", "kernel_id": "6056124"}, {"ref": "aianshay/exercise-pipelines", "kernel_id": "6152902"}, {"ref": "satyaprasad/exercise-machine-learning-competitions", "kernel_id": "6214652"}, {"ref": "dadrake3/exercise-machine-learning-competitions", "kernel_id": "6129984"}, {"ref": "natwers/exercise-introduction", "kernel_id": "6622080"}, {"ref": "natwers/exercise-pipelines", "kernel_id": "6923363"}, {"ref": "thirumal23/exercise-machine-learning-competitions", "kernel_id": "6193443"}, {"ref": "thirumal23/exercise-introduction", "kernel_id": "6193584"}, {"ref": "linli2018/exercise-categorical-variables", "kernel_id": "6466193"}, {"ref": "kizimi/exercise-introduction", "kernel_id": "6996987"}, {"ref": "kizimi/exercise-machine-learning-competitions", "kernel_id": "6976954"}, {"ref": "swanasaurus/exercise-cross-validation", "kernel_id": "6318351"}, {"ref": "iurrutia/exercise-solutions-model-validation", "kernel_id": "6533350"}, {"ref": "iurrutia/exercise-soluti-your-first-machine-learning-model", "kernel_id": "6473696"}, {"ref": "cumberbatch/housing-price-competition", "kernel_id": "6620796"}, {"ref": "arjunjalan/exercise-machine-learning-competitions", "kernel_id": "6157743"}, {"ref": "forlucas27/exercise-categorical-variables", "kernel_id": "6021455"}, {"ref": "regisve/exercise-machine-learning-competitions", "kernel_id": "6074558"}, {"ref": "murugesh1407/exercise-pipelines", "kernel_id": "6864163"}, {"ref": "murugesh1407/exercise-missing-values", "kernel_id": "6851932"}, {"ref": "murugesh1407/exercise-machine-learning-competitions", "kernel_id": "6851249"}, {"ref": "daavetti/exercise-machine-learning-competitions", "kernel_id": "6290392"}, {"ref": "guigui83/exercise-introduction", "kernel_id": "6642101"}, {"ref": "krsna540/exercise-model-validation", "kernel_id": "6829208"}, {"ref": "krsna540/exercise-underfitting-and-overfitting", "kernel_id": "6829211"}, {"ref": "krsna540/exercise-random-forests", "kernel_id": "6829212"}, {"ref": "krsna540/exercise-your-first-machine-learning-model", "kernel_id": "6511614"}, {"ref": "ihsanfirman/exercise-your-first-machine-learning-model", "kernel_id": "6144775"}, {"ref": "ihsanfirman/exercise-basic-data-exploration-daily", "kernel_id": "6136107"}, {"ref": "oguzkoroglu/exercise-missing-values", "kernel_id": "6135418"}, {"ref": "kaggleurroad/exercise-underfitting-and-overfitting", "kernel_id": "6451280"}, {"ref": "kaggleurroad/exercise-random-forests", "kernel_id": "6451281"}, {"ref": "kaggleurroad/exercise-missing-values", "kernel_id": "6840847"}, {"ref": "kaggleurroad/exercise-model-validation", "kernel_id": "6750386"}, {"ref": "isaac009/exercise-machine-learning-competitions", "kernel_id": "6043824"}, {"ref": "eepjr05/exercise-machine-learning-competitions", "kernel_id": "6486548"}, {"ref": "shizenmoh1/exercise-machine-learning-competitions", "kernel_id": "6783999"}, {"ref": "firzgz/exercise-missing-values", "kernel_id": "6145247"}, {"ref": "firzgz/exercise-introduction", "kernel_id": "6145054"}, {"ref": "firzgz/exercise-random-forests", "kernel_id": "6144315"}, {"ref": "firzgz/exercise-machine-learning-competitions", "kernel_id": "6144363"}, {"ref": "firzgz/exercise-underfitting-and-overfitting", "kernel_id": "6143089"}, {"ref": "firzgz/exercise-model-validation", "kernel_id": "6143018"}, {"ref": "firzgz/exercise-your-first-machine-learning-model", "kernel_id": "6142858"}, {"ref": "firzgz/exercise-cross-validation", "kernel_id": "6236262"}, {"ref": "firzgz/exercise-data-leakage", "kernel_id": "6239756"}, {"ref": "firzgz/exercise-xgboost", "kernel_id": "6239317"}, {"ref": "firzgz/exercise-pipelines", "kernel_id": "6234109"}, {"ref": "firzgz/exercise-categorical-variables", "kernel_id": "6233593"}, {"ref": "akashp1712/exercise-machine-learning-competitions", "kernel_id": "6837562"}, {"ref": "morningdyj/exercise-introduction", "kernel_id": "6769154"}, {"ref": "morningdyj/exercise-machine-learning-competitions", "kernel_id": "6729839"}, {"ref": "sergiocorrea/exercise-machine-learning-competitions", "kernel_id": "6870792"}, {"ref": "ckelly6/exercise-machine-learning-competitions", "kernel_id": "6232956"}, {"ref": "mithuncyriac/exercise-pipelines", "kernel_id": "6761566"}, {"ref": "daveaditya/exercise-underfitting-and-overfitting", "kernel_id": "6758289"}, {"ref": "daveaditya/exercise-machine-learning-competitions", "kernel_id": "6758463"}, {"ref": "daveaditya/exercise-model-validation", "kernel_id": "6757390"}, {"ref": "daveaditya/exercise-your-first-machine-learning-model", "kernel_id": "6748539"}, {"ref": "daveaditya/exercise-missing-values", "kernel_id": "6846470"}, {"ref": "daveaditya/exercise-categorical-variables", "kernel_id": "6852110"}, {"ref": "daveaditya/exercise-introduction", "kernel_id": "6779500"}, {"ref": "rahulgupta219/exercise-categorical-variables", "kernel_id": "6691319"}, {"ref": "johnwill225/1-predictions-using-blending-model", "kernel_id": "6662584"}, {"ref": "mounicasree/house-price-prediction-competition", "kernel_id": "6324851"}, {"ref": "asheeque/exercise-introduction", "kernel_id": "6291702"}, {"ref": "sparsh0304/kernel2620a4d767", "kernel_id": "6300769"}, {"ref": "sparsh0304/exercise-missing-values", "kernel_id": "6288028"}, {"ref": "jainshukal/shukal", "kernel_id": "6618441"}, {"ref": "lanzy007/exercise-introduction", "kernel_id": "6120937"}, {"ref": "kaustubh22071999/exercise-introduction", "kernel_id": "6155274"}, {"ref": "achesson/exercise-model-validation", "kernel_id": "6468992"}, {"ref": "achesson/exercise-underfitting-and-overfitting", "kernel_id": "6469051"}, {"ref": "achesson/exercise-your-first-machine-learning-model", "kernel_id": "6468893"}, {"ref": "achesson/exercise-machine-learning-competitions", "kernel_id": "6469140"}, {"ref": "achesson/exercise-random-forests", "kernel_id": "6469124"}, {"ref": "flyingmuttus/top-6-housing-with-xgboost", "kernel_id": "6488143"}, {"ref": "lalitkum/exercise-machine-learning-competitions", "kernel_id": "6376131"}, {"ref": "ikraminf/exercise-missing-values", "kernel_id": "6702199"}, {"ref": "ikraminf/exercise-model-validation", "kernel_id": "6702108"}, {"ref": "agajorte/housing-prices-for-kaggle-learn", "kernel_id": "6484284"}, {"ref": "columbine/exercise-introduction", "kernel_id": "6784533"}, {"ref": "dareczin/kernel36531b6656", "kernel_id": "6003730"}, {"ref": "bugrowsky/exercise-machine-learning-competitions", "kernel_id": "6927901"}, {"ref": "okongwu101/exercise-introduction", "kernel_id": "6745642"}, {"ref": "dmashkovcev/exercise-cross-validation", "kernel_id": "6334069"}, {"ref": "dmashkovcev/exercise-introduction", "kernel_id": "6213949"}, {"ref": "daisy1005/ml-exercise-random-forests", "kernel_id": "6403047"}, {"ref": "daisy1005/ml-exercise-machine-learning-competitions", "kernel_id": "6403059"}, {"ref": "daisy1005/ml-exercise-underfitting-and-overfitting", "kernel_id": "6402785"}, {"ref": "daisy1005/ml-exercise-your-first-machine-learning-model", "kernel_id": "6402478"}, {"ref": "daisy1005/ml-exercise-model-validation", "kernel_id": "6402641"}, {"ref": "nikunjbhalla/exercise-categorical-variables", "kernel_id": "6136992"}, {"ref": "nikunjbhalla/housing-price-prediction-with-xgboost", "kernel_id": "6183076"}, {"ref": "guanyuji/exercise-machine-learning-competitions", "kernel_id": "6213601"}, {"ref": "kmdmustaq/exercise-categorical-variables", "kernel_id": "6213351"}, {"ref": "kmdmustaq/exercise-missing-values", "kernel_id": "6212323"}, {"ref": "kmdmustaq/exercise-pipelines", "kernel_id": "6668516"}, {"ref": "kmdmustaq/exercise-xgboost", "kernel_id": "6669214"}, {"ref": "kmdmustaq/exercise-cross-validation", "kernel_id": "6668881"}, {"ref": "kmdmustaq/exercise-data-leakage", "kernel_id": "6669587"}, {"ref": "jacobshackleton/exercise-categorical-variables", "kernel_id": "6473426"}, {"ref": "jacobshackleton/exercise-introduction", "kernel_id": "6462705"}, {"ref": "mayank828/exercise-machine-learning-competitions", "kernel_id": "6864981"}, {"ref": "mayank828/exercise-categorical-variables", "kernel_id": "6892260"}, {"ref": "mayank828/exercise-introduction", "kernel_id": "6891273"}, {"ref": "mayank828/exercise-missing-values", "kernel_id": "6891564"}, {"ref": "tatianasnwrt/housing-prices-xgb-pipelines-cross-validation", "kernel_id": "6073722"}, {"ref": "rwhysong/exercise-categorical-variables", "kernel_id": "6733351"}, {"ref": "yawwork/exercise-machine-learning-competitions", "kernel_id": "6142870"}, {"ref": "jehilvora/exercise-machine-learning-competitions", "kernel_id": "6309389"}, {"ref": "jehilvora/exercise-introduction", "kernel_id": "6387279"}, {"ref": "taryorh01/exercise-data-leakage", "kernel_id": "6490369"}, {"ref": "haniash/exercise-missing-values", "kernel_id": "6498500"}, {"ref": "haniash/exercise-pipelines", "kernel_id": "6499476"}, {"ref": "khushboonyman/exercise-categorical-variables", "kernel_id": "6583225"}, {"ref": "khushboonyman/exercise-missing-values", "kernel_id": "6317578"}, {"ref": "bouteille/housing-prices-competition", "kernel_id": "6225196"}, {"ref": "ciderliu/exercise-machine-learning-competitions", "kernel_id": "6304303"}, {"ref": "ankitmohanty18/exercise-xgboost", "kernel_id": "6053635"}, {"ref": "alexanderklarge/exercise-machine-learning-competitions", "kernel_id": "6422205"}, {"ref": "annabelpan/exercise-machine-learning-competitions", "kernel_id": "6245326"}, {"ref": "masinga/exercise-your-first-machine-learning-model", "kernel_id": "6415330"}, {"ref": "masinga/exercise-model-validation", "kernel_id": "6436333"}, {"ref": "masinga/exercise-underfitting-and-overfitting", "kernel_id": "6436977"}, {"ref": "masinga/exercise-random-forests", "kernel_id": "6437073"}, {"ref": "masinga/exercise-data-leakage", "kernel_id": "6483935"}, {"ref": "masinga/exercise-cross-validation", "kernel_id": "6483689"}, {"ref": "masinga/exercise-xgboost", "kernel_id": "6483816"}, {"ref": "sirramokgopa/exercise-machine-learning-competitions", "kernel_id": "6664721"}, {"ref": "andrifnatius/exercise-your-first-machine-learning-model", "kernel_id": "6792597"}, {"ref": "andrifnatius/exercise-model-validation", "kernel_id": "6792865"}, {"ref": "andrifnatius/exercise-xgboost", "kernel_id": "6849905"}, {"ref": "andrifnatius/exercise-data-leakage", "kernel_id": "6850374"}, {"ref": "andrifnatius/exercise-pipelines", "kernel_id": "6836325"}, {"ref": "andrifnatius/exercise-cross-validation", "kernel_id": "6836509"}, {"ref": "andrifnatius/exercise-machine-learning-competitions", "kernel_id": "6828810"}, {"ref": "andrifnatius/exercise-random-forests", "kernel_id": "6828611"}, {"ref": "andrifnatius/exercise-underfitting-and-overfitting", "kernel_id": "6828157"}, {"ref": "andrifnatius/exercise-categorical-variables", "kernel_id": "6835814"}, {"ref": "andrifnatius/exercise-missing-values", "kernel_id": "6833688"}, {"ref": "andrifnatius/exercise-introduction", "kernel_id": "6833523"}, {"ref": "themattjohnson/exercise-introduction", "kernel_id": "6521368"}, {"ref": "sahib12/housing-price-problem-top-20", "kernel_id": "6098949"}, {"ref": "sahib12/top-6-housing-with-xgboost", "kernel_id": "6457003"}, {"ref": "ttminh27/house-price-competition-how-i-archive-top-3", "kernel_id": "6471670"}, {"ref": "abdullahtaha/exercise-machine-learning-competitions", "kernel_id": "6678654"}, {"ref": "bobayln/exercise-missing-values", "kernel_id": "6719505"}, {"ref": "bobayln/exercise-introduction", "kernel_id": "6495318"}, {"ref": "abhinbt/housing-problem", "kernel_id": "6289735"}, {"ref": "muhmad18/exercise-your-first-machine-learning-model", "kernel_id": "6794085"}, {"ref": "muhmad18/exercise-model-validation", "kernel_id": "6950649"}, {"ref": "krishnatejavv/exercise-machine-learning-competitions", "kernel_id": "6232783"}, {"ref": "krishnatejavv/exercise-random-forests", "kernel_id": "6232633"}, {"ref": "krishnatejavv/exercise-your-first-machine-learning-model", "kernel_id": "6230091"}, {"ref": "krishnatejavv/exercise-underfitting-and-overfitting", "kernel_id": "6231486"}, {"ref": "krishnatejavv/exercise-model-validation", "kernel_id": "6231194"}, {"ref": "amalshajiprof/exercise-introduction", "kernel_id": "6836738"}, {"ref": "tam63tam63/exercise-introduction", "kernel_id": "6278588"}, {"ref": "tman01/exercise-introduction", "kernel_id": "6250352"}, {"ref": "bufferoverride/exercise-random-forests", "kernel_id": "6439433"}, {"ref": "bufferoverride/exercise-underfitting-and-overfitting", "kernel_id": "6409391"}, {"ref": "bufferoverride/exercise-your-first-machine-learning-model", "kernel_id": "6409174"}, {"ref": "bufferoverride/exercise-model-validation", "kernel_id": "6409270"}, {"ref": "abbasghd/exercise-introduction", "kernel_id": "6115822"}, {"ref": "rejaznetpace/exercise-introduction", "kernel_id": "6973281"}, {"ref": "ceocampo/exercise-your-first-machine-learning-model", "kernel_id": "6145253"}, {"ref": "ceocampo/exercise-cross-validation", "kernel_id": "6208495"}, {"ref": "ceocampo/xgboost-model-for-housing-prices", "kernel_id": "6187184"}, {"ref": "ceocampo/exercise-categorical-variables", "kernel_id": "6175357"}, {"ref": "ceocampo/exercise-machine-learning-competitions", "kernel_id": "6156448"}, {"ref": "yash0621/exercise-machine-learning-competitions", "kernel_id": "6414791"}, {"ref": "mobalt/xgboost-those-houseprices", "kernel_id": "6489409"}, {"ref": "vipulgote4/exercise-your-first-machine-learning-model", "kernel_id": "6370110"}, {"ref": "greentearus/exercise-model-validation", "kernel_id": "6182440"}, {"ref": "greentearus/exercise-underfitting-and-overfitting", "kernel_id": "6204446"}, {"ref": "greentearus/exercise-missing-values", "kernel_id": "6208538"}, {"ref": "greentearus/exercise-introduction", "kernel_id": "6208380"}, {"ref": "greentearus/exercise-random-forests", "kernel_id": "6208042"}, {"ref": "greentearus/exercise-machine-learning-competitions", "kernel_id": "6208082"}, {"ref": "greentearus/exercise-your-first-machine-learning-model", "kernel_id": "6180433"}, {"ref": "greentearus/exercise-categorical-variables", "kernel_id": "6216373"}, {"ref": "greentearus/exercise-pipelines", "kernel_id": "6217253"}, {"ref": "greentearus/exercise-cross-validation", "kernel_id": "6217694"}, {"ref": "greentearus/exercise-xgboost", "kernel_id": "6219295"}, {"ref": "greentearus/exercise-data-leakage", "kernel_id": "6227673"}, {"ref": "mohads/exercise-your-first-machine-learning-model", "kernel_id": "6794131"}, {"ref": "mohads/exercise-model-validation", "kernel_id": "6850906"}, {"ref": "mohads/exercise-underfitting-and-overfitting", "kernel_id": "6948670"}, {"ref": "pitamar/exercise-machine-learning-competitions", "kernel_id": "6026306"}, {"ref": "copyofa/exercise-missing-values", "kernel_id": "6164047"}, {"ref": "audeba/exercise-machine-learning-competitions", "kernel_id": "6133688"}, {"ref": "geneningz/exercise-machine-learning-competitions", "kernel_id": "6085442"}, {"ref": "shaileshcgautam/exercise-introduction", "kernel_id": "6678813"}, {"ref": "hirenraj/exercise-machine-learning-competitions", "kernel_id": "6501468"}, {"ref": "hirenraj/exercise-your-first-machine-learning-model", "kernel_id": "6423990"}, {"ref": "starbuucks/housing-prices-apply-intermediate-course-2", "kernel_id": "6004644"}, {"ref": "manojbharadwaj/exercise-your-first-machine-learning-model", "kernel_id": "6310589"}, {"ref": "manojbharadwaj/exercise-model-validation", "kernel_id": "6316010"}, {"ref": "manojbharadwaj/exercise-underfitting-and-overfitting", "kernel_id": "6368355"}, {"ref": "nirvansiga/exercise-machine-learning-competitions", "kernel_id": "6711360"}, {"ref": "darkknightrises/mini-project-1", "kernel_id": "6455380"}, {"ref": "ghomsi/exercise-missing-values", "kernel_id": "6543682"}, {"ref": "abilxty/exercise-machine-learning-competitions", "kernel_id": "6083001"}, {"ref": "rahulr250692/exercise-underfitting-and-overfitting", "kernel_id": "6048038"}, {"ref": "pankajverma23/exercise-categorical-variables", "kernel_id": "6199520"}, {"ref": "xdcr66/exercise-pipelines", "kernel_id": "6279716"}, {"ref": "xdcr66/exercise-introduction", "kernel_id": "6238122"}, {"ref": "xdcr66/exercise-missing-values", "kernel_id": "6254177"}, {"ref": "pradatt/exercise-machine-learning-competitions", "kernel_id": "6008723"}, {"ref": "akshata49/exercise-machine-learning-competitions", "kernel_id": "6065723"}, {"ref": "soniamathews/exercise-random-forests", "kernel_id": "6124820"}, {"ref": "frisonisland/exercise-machine-learning-competitions", "kernel_id": "6121512"}, {"ref": "edggaras/exercise-machine-learning-competitions", "kernel_id": "6949595"}, {"ref": "amitpa19/exercise-machine-learning-competitions", "kernel_id": "6974538"}, {"ref": "afuetterer/exercise-machine-learning-competitions", "kernel_id": "6122259"}, {"ref": "rohitmadame/exercise-machine-learning-competitions", "kernel_id": "6082050"}, {"ref": "hendriko/exercise-machine-learning-competitions", "kernel_id": "6066215"}, {"ref": "avaxey/exercise-your-first-machine-learning-model", "kernel_id": "6044009"}, {"ref": "shantanuss/exercise-your-first-machine-learning-model", "kernel_id": "6990101"}, {"ref": "darianlam/exercise-categorical-variables", "kernel_id": "6210389"}, {"ref": "ankitlodha511/exercise-introduction", "kernel_id": "6771754"}, {"ref": "balajivenkat96/exercise-machine-learning-competitions", "kernel_id": "6097143"}, {"ref": "horiyu1234/myhome-challenging", "kernel_id": "6416410"}, {"ref": "anirbansaha96/exercise-categorical-variables", "kernel_id": "6248964"}, {"ref": "anirbansaha96/exercise-missing-values", "kernel_id": "6190146"}, {"ref": "anirbansaha96/exercise-underfitting-and-overfitting", "kernel_id": "6118659"}, {"ref": "anirbansaha96/exercise-model-validation", "kernel_id": "6118384"}, {"ref": "anirbansaha96/exercise-random-forests", "kernel_id": "6119093"}, {"ref": "anirbansaha96/exercise-introduction", "kernel_id": "6121406"}, {"ref": "anirbansaha96/exercise-cross-validation", "kernel_id": "6403005"}, {"ref": "anirbansaha96/exercise-pipelines", "kernel_id": "6402568"}, {"ref": "adegladius/exercise-machine-learning-competitions", "kernel_id": "6578123"}, {"ref": "adegladius/exercise-introduction", "kernel_id": "6313044"}, {"ref": "firasmbarek/exercise-machine-learning-competitions", "kernel_id": "6251202"}, {"ref": "fatopato/exercise-machine-learning-competitions", "kernel_id": "6167895"}, {"ref": "geoffreydlvl/exercise-machine-learning-competitions", "kernel_id": "6205199"}, {"ref": "kowboy/exercise-machine-learning-competitions", "kernel_id": "6414259"}, {"ref": "kowboy/exercise-introduction", "kernel_id": "6414615"}, {"ref": "thaohohoang/exercise-introduction", "kernel_id": "6334855"}, {"ref": "thaohohoang/exercise-xgboost", "kernel_id": "6443324"}, {"ref": "ninapberry/housing-price-estimation", "kernel_id": "6528877"}, {"ref": "rghv932/exercise-machine-learning-competitions", "kernel_id": "6199285"}, {"ref": "bfernandes/exercise-your-first-machine-learning-model", "kernel_id": "6184811"}, {"ref": "pratikwatwani/exercise-machine-learning-competitions", "kernel_id": "6381656"}, {"ref": "leesuiping/exercise-pipelines", "kernel_id": "6244095"}, {"ref": "masafour/exercise-machine-learning-competitions", "kernel_id": "6397821"}, {"ref": "listen2rahul/exercise-introduction", "kernel_id": "6818870"}, {"ref": "listen2rahul/exercise-pipelines", "kernel_id": "6959117"}, {"ref": "listen2rahul/exercise-categorical-variables", "kernel_id": "6958164"}, {"ref": "liuchang111001/exercise-introduction", "kernel_id": "6538316"}, {"ref": "pymatuy/exercise-cross-validation", "kernel_id": "6577854"}, {"ref": "vidyaprakash/exercise-machine-learning-competitions", "kernel_id": "6449004"}, {"ref": "sekarkrismayaweni/exercise-random-forests", "kernel_id": "6276259"}, {"ref": "sekarkrismayaweni/exercise-machine-learning-competitions", "kernel_id": "6276448"}, {"ref": "sekarkrismayaweni/exercise-your-first-machine-learning-model", "kernel_id": "6262351"}, {"ref": "sekarkrismayaweni/exercise-model-validation", "kernel_id": "6263319"}, {"ref": "sekarkrismayaweni/exercise-introduction", "kernel_id": "6289556"}, {"ref": "shussain2098/exercise-introduction", "kernel_id": "6417323"}, {"ref": "shussain2098/exercise-machine-learning-competitions", "kernel_id": "6395984"}, {"ref": "houriashafik/exercise-underfitting-and-overfitting", "kernel_id": "6305521"}, {"ref": "ramshabukhari/exercise-model-validation", "kernel_id": "6489212"}, {"ref": "ramshabukhari/exercise-underfitting-and-overfitting", "kernel_id": "6490716"}, {"ref": "emandiab97/exercise-your-first-machine-learning-model", "kernel_id": "6595562"}, {"ref": "federicomateri/house-competition-from-21840-to-11816-in-17-days", "kernel_id": "6698136"}, {"ref": "adityasingh98/exercise-machine-learning-competitions", "kernel_id": "6452304"}, {"ref": "spaciwork/exercise-machine-learning-competitions", "kernel_id": "6668709"}, {"ref": "spaciwork/exercise-random-forests", "kernel_id": "6668607"}, {"ref": "spaciwork/kernel7175893868", "kernel_id": "6585658"}, {"ref": "spaciwork/exercise-underfitting-and-overfitting", "kernel_id": "6585669"}, {"ref": "spaciwork/exercise-your-first-machine-learning-model", "kernel_id": "6514783"}, {"ref": "spaciwork/exercise-model-validation", "kernel_id": "6515152"}, {"ref": "jaysoncunanan/exercise-pipelines", "kernel_id": "6477687"}, {"ref": "mellemeewis/exercise-machine-learning-competitions", "kernel_id": "6478979"}, {"ref": "charlescastelain/exercise-random-forests", "kernel_id": "6668632"}, {"ref": "charlescastelain/exercise-machine-learning-competitions", "kernel_id": "6668690"}, {"ref": "charlescastelain/exercise-underfitting-and-overfitting", "kernel_id": "6668041"}, {"ref": "charlescastelain/exercise-model-validation", "kernel_id": "6667174"}, {"ref": "charlescastelain/exercise-your-first-machine-learning-model", "kernel_id": "6656975"}, {"ref": "sridharvengadesan/exercise-your-first-machine-learning-model", "kernel_id": "6515085"}, {"ref": "mhmdmushtaha/exercise-model-validation", "kernel_id": "6850864"}, {"ref": "mhmdmushtaha/exercise-underfitting-and-overfitting", "kernel_id": "6892247"}, {"ref": "mhmdmushtaha/kernel7d560c19e9", "kernel_id": "6796799"}, {"ref": "yimeiwang/exercise-missing-values", "kernel_id": "6444326"}, {"ref": "yimeiwang/exercise-categorical-variables", "kernel_id": "6531711"}, {"ref": "chewwx/house-price-xgboost", "kernel_id": "6692625"}, {"ref": "anittrajendran/fork-of-fork-of-exercise-machine-learning-competi", "kernel_id": "6460738"}, {"ref": "hari1205/exercise-introduction", "kernel_id": "6525453"}, {"ref": "abdullrahamanelhayek/exercise-machine-learning-competitions", "kernel_id": "6513622"}, {"ref": "abdullrahamanelhayek/exercise-random-forests", "kernel_id": "6513376"}, {"ref": "mostafaelamree/exercise-machine-learning-competitions", "kernel_id": "6513592"}, {"ref": "mostafaelamree/exercise-random-forests", "kernel_id": "6513384"}, {"ref": "mostafaelamree/exercise-model-validation", "kernel_id": "6486114"}, {"ref": "mostafaelamree/exercise-underfitting-and-overfitting", "kernel_id": "6486619"}, {"ref": "mostafaelamree/exercise-your-first-machine-learning-model", "kernel_id": "6455022"}, {"ref": "engmohammedrehan/exercise-machine-learning-competitions", "kernel_id": "6513653"}, {"ref": "engmohammedrehan/kernelfe124c40fb", "kernel_id": "6513125"}, {"ref": "manarabuoun/exercise-underfitting-and-overfitting", "kernel_id": "6486625"}, {"ref": "manarabuoun/exercise-machine-learning-competitions", "kernel_id": "6490123"}, {"ref": "manarabuoun/exercise-random-forests", "kernel_id": "6488277"}, {"ref": "manarabuoun/exercise-model-validation", "kernel_id": "6482439"}, {"ref": "manarabuoun/exercise-your-first-machine-learning-model", "kernel_id": "6455172"}, {"ref": "manarabuoun/exercise-introduction", "kernel_id": "6539613"}, {"ref": "engmhatab/exercise-random-forests", "kernel_id": "6513382"}, {"ref": "carloscruzprez/exercise-introduction", "kernel_id": "6572025"}, {"ref": "mattpodolak/exercise-machine-learning-competitions", "kernel_id": "6470770"}, {"ref": "eneritzfernandez/exercise-pipelines", "kernel_id": "6558250"}, {"ref": "eneritzfernandez/exercise-machine-learning-competitions", "kernel_id": "6487696"}, {"ref": "jehadaltayeb/exercise-random-forests", "kernel_id": "6513387"}, {"ref": "rahulasthana28/exercise-pipelines", "kernel_id": "6534470"}, {"ref": "rahulasthana28/exercise-xgboost", "kernel_id": "6541912"}, {"ref": "alexus88/exercise-machine-learning-competitions", "kernel_id": "6506920"}, {"ref": "achyutbabu/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "6647872"}, {"ref": "akan27/melbournehousepriceprediction-model-validation", "kernel_id": "6938293"}, {"ref": "clmentquillateau/exercise-your-first-machine-learning-model", "kernel_id": "6514317"}, {"ref": "clmentquillateau/exercise-model-validation", "kernel_id": "6514514"}, {"ref": "clmentquillateau/exercise-machine-learning-competitions", "kernel_id": "6515451"}, {"ref": "clmentquillateau/exercise-underfitting-and-overfitting", "kernel_id": "6515221"}, {"ref": "clmentquillateau/exercise-random-forests", "kernel_id": "6515390"}, {"ref": "corentinminne/exercise-machine-learning-competitions", "kernel_id": "6514830"}, {"ref": "corentinminne/exercise-underfitting-and-overfitting", "kernel_id": "6514598"}, {"ref": "corentinminne/exercise-model-validation", "kernel_id": "6514467"}, {"ref": "corentinminne/exercise-random-forests", "kernel_id": "6514756"}, {"ref": "corentinminne/exercise-your-first-machine-learning-model", "kernel_id": "6514344"}, {"ref": "skananas/exercise-your-first-machine-learning-model", "kernel_id": "6514350"}, {"ref": "benjaminlosson/exercise-machine-learning-competitions", "kernel_id": "6514834"}, {"ref": "jdereynal/exercise-machine-learning-competitions", "kernel_id": "6518218"}, {"ref": "orlaneoddo/exercise-model-validation", "kernel_id": "6514812"}, {"ref": "orlaneoddo/exercise-your-first-machine-learning-model", "kernel_id": "6514612"}, {"ref": "orlaneoddo/exercise-underfitting-and-overfitting", "kernel_id": "6515015"}, {"ref": "orlaneoddo/exercise-machine-learning-competitions", "kernel_id": "6515400"}, {"ref": "orlaneoddo/exercise-random-forests", "kernel_id": "6515294"}, {"ref": "florianribeiro/exercise-your-first-machine-learning-model", "kernel_id": "6514853"}, {"ref": "cemkiray/exercise-machine-learning-competitions", "kernel_id": "6548620"}, {"ref": "dwaynedibley/exercise-introduction", "kernel_id": "6557593"}, {"ref": "dwaynedibley/exercise-missing-values", "kernel_id": "6557735"}, {"ref": "eldarkotsegubov/exercise-machine-learning-competitions", "kernel_id": "6716774"}, {"ref": "sairamelangovan/exercise-machine-learning-competitions", "kernel_id": "6562184"}, {"ref": "jonnyhilton/exercise-introduction", "kernel_id": "6682774"}, {"ref": "siamakn/exercise-machine-learning-competitions", "kernel_id": "6589067"}, {"ref": "siamakn/exercise-introduction", "kernel_id": "6597067"}, {"ref": "waleszhang/exercise-categorical-variables", "kernel_id": "6681394"}, {"ref": "siddharthkoshta/exercise-model-validation", "kernel_id": "6733603"}, {"ref": "siddharthkoshta/exercise-underfitting-and-overfitting", "kernel_id": "6734240"}, {"ref": "siddharthkoshta/exercise-your-first-machine-learning-model", "kernel_id": "6727401"}, {"ref": "totototo5/exercise-introduction", "kernel_id": "6683240"}, {"ref": "totototo5/fork-of-exercise-missing-values", "kernel_id": "6685397"}, {"ref": "kamelrjiba2/exercise-machine-learning-competitions", "kernel_id": "6710150"}, {"ref": "michaelset/exercise-machine-learning-competitions", "kernel_id": "6828059"}, {"ref": "calexandru2018/exercise-machine-learning-competitions", "kernel_id": "6667672"}, {"ref": "hannashymanska/kernel5f23e244b5", "kernel_id": "6946938"}, {"ref": "hyulun/exercise-your-first-machine-learning-model", "kernel_id": "6666185"}, {"ref": "hyulun/exercise-model-validation", "kernel_id": "6668331"}, {"ref": "hyulun/exercise-missing-values", "kernel_id": "6903225"}, {"ref": "hyulun/exercise-machine-learning-competitions", "kernel_id": "6903082"}, {"ref": "hyulun/exercise-categorical-variables", "kernel_id": "6979707"}, {"ref": "hyulun/exercise-random-forests", "kernel_id": "6892076"}, {"ref": "hyulun/exercise-introduction", "kernel_id": "6892456"}, {"ref": "hyulun/exercise-underfitting-and-overfitting", "kernel_id": "6890992"}, {"ref": "rubendeandrade/exercise-your-first-machine-learning-model", "kernel_id": "6672515"}, {"ref": "rubendeandrade/exercise-underfitting-and-overfitting", "kernel_id": "6674523"}, {"ref": "rubendeandrade/exercise-random-forests", "kernel_id": "6674542"}, {"ref": "rubendeandrade/exercise-machine-learning-competitions", "kernel_id": "6674559"}, {"ref": "rubendeandrade/exercise-model-validation", "kernel_id": "6674354"}, {"ref": "raimondofusco/exercise-machine-learning-competitions", "kernel_id": "6712811"}, {"ref": "tedhema/exercise-missing-values", "kernel_id": "6971946"}, {"ref": "sreenathcr/exercise-machine-learning-competitions", "kernel_id": "6850464"}, {"ref": "heoynwoo/exercise-machine-learning-competitions", "kernel_id": "6824937"}, {"ref": "heoynwoo/exercise-pipelines", "kernel_id": "6919144"}, {"ref": "heoynwoo/exercise-missing-values", "kernel_id": "6918318"}, {"ref": "heoynwoo/exercise-introduction", "kernel_id": "6906225"}, {"ref": "wei2gu/exercise-machine-learning-competitions", "kernel_id": "6873046"}, {"ref": "gustavgans/exercise-machine-learning-competitions", "kernel_id": "6899006"}, {"ref": "vortanasay/exercise-machine-learning-competitions", "kernel_id": "6953362"}, {"ref": "joelmahon/exercise-machine-learning-competitions", "kernel_id": "6864129"}, {"ref": "gossgowtham/exercise-introduction", "kernel_id": "6975249"}, {"ref": "gossgowtham/exercise-missing-values", "kernel_id": "6976141"}, {"ref": "yipchisan/exercise-machine-learning-competitions", "kernel_id": "6881658"}, {"ref": "uskcse/exercise-machine-learning-competitions", "kernel_id": "6862459"}, {"ref": "rafiafridi12/exercise-underfitting-and-overfitting", "kernel_id": "6921552"}, {"ref": "mueezjavaidhashmi/exercise-random-forests", "kernel_id": "6962526"}, {"ref": "mueezjavaidhashmi/exercise-machine-learning-competitions", "kernel_id": "6962587"}, {"ref": "mueezjavaidhashmi/exercise-underfitting-and-overfitting", "kernel_id": "6962375"}, {"ref": "mueezjavaidhashmi/exercise-your-first-machine-learning-model", "kernel_id": "6961815"}, {"ref": "mueezjavaidhashmi/exercise-model-validation", "kernel_id": "6961968"}, {"ref": "mueezjavaidhashmi/exercise-introduction", "kernel_id": "6975985"}, {"ref": "mueezjavaidhashmi/exercise-missing-values", "kernel_id": "6976405"}, {"ref": "arsalansiddiq/exercise-introduction", "kernel_id": "6974977"}, {"ref": "heliorocha/exercise-basic-data-exploration", "kernel_id": "7680476"}, {"ref": "wrik21/exercise-introduction", "kernel_id": "7217837"}, {"ref": "poornaramakrishnan/kernel6d749b4dfe", "kernel_id": "7125064"}, {"ref": "krrish1729/handling-categorical-variables", "kernel_id": "7699083"}, {"ref": "krrish1729/handling-missing-values-by-imputation", "kernel_id": "7698402"}, {"ref": "ihorshypunov/exercise-machine-learning-competitions", "kernel_id": "7204216"}, {"ref": "zouhua/exercise-machine-learning-competitions", "kernel_id": "7878444"}, {"ref": "fmmersin/exercise-missing-values", "kernel_id": "7133967"}, {"ref": "fmmersin/exercise-introduction", "kernel_id": "7115985"}, {"ref": "fmmersin/exercise-pipelines", "kernel_id": "7193783"}, {"ref": "pattonj6/exercise-machine-learning-competitions", "kernel_id": "7607635"}, {"ref": "rkhhitesh27/exercise-machine-learning-competitions", "kernel_id": "7210657"}, {"ref": "rkhhitesh27/exercise-introduction", "kernel_id": "7211607"}, {"ref": "boedybios/exercise-model-validation", "kernel_id": "7309324"}, {"ref": "boedybios/exercise-your-first-machine-learning-model", "kernel_id": "7134310"}, {"ref": "boedybios/exercise-missing-values", "kernel_id": "7629963"}, {"ref": "boedybios/exercise-random-forests", "kernel_id": "7604196"}, {"ref": "boedybios/exercise-machine-learning-competitions", "kernel_id": "7604298"}, {"ref": "boedybios/exercise-basic-data-exploration", "kernel_id": "7604306"}, {"ref": "boedybios/exercise-your-first-machine-learning-model-20c2fb", "kernel_id": "7604309"}, {"ref": "sdaveds/exercise-machine-learning-competitions", "kernel_id": "7531530"}, {"ref": "cbolinger/exercise-introduction", "kernel_id": "7362805"}, {"ref": "mvigoda/exercise-categorical-variables", "kernel_id": "7166776"}, {"ref": "mvigoda/exercise-pipelines", "kernel_id": "7214675"}, {"ref": "mvigoda/exercise-missing-values", "kernel_id": "7117643"}, {"ref": "mvigoda/exercise-machine-learning-competitions", "kernel_id": "7101097"}, {"ref": "xanthate/exercise-basic-data-exploration", "kernel_id": "7658908"}, {"ref": "xanthate/exercise-underfitting-and-overfitting", "kernel_id": "7659923"}, {"ref": "xanthate/exercise-random-forests", "kernel_id": "7660089"}, {"ref": "xanthate/exercise-missing-values", "kernel_id": "7797273"}, {"ref": "xanthate/exercise-model-validation", "kernel_id": "7471246"}, {"ref": "xanthate/exercise-introduction", "kernel_id": "7465562"}, {"ref": "xanthate/exercise-machine-learning-competitions", "kernel_id": "7465730"}, {"ref": "stallians/exercise-basic-data-exploration", "kernel_id": "7692497"}, {"ref": "stallians/exercise-your-first-machine-learning-model-984b06", "kernel_id": "7694656"}, {"ref": "stallians/exercise-underfitting-and-overfitting", "kernel_id": "7703479"}, {"ref": "stallians/exercise-random-forests", "kernel_id": "7703736"}, {"ref": "stallians/exercise-machine-learning-competitions", "kernel_id": "7703812"}, {"ref": "suhansaha/exercise-missing-values", "kernel_id": "7335412"}, {"ref": "knosar/exercise-machine-learning-competitions", "kernel_id": "7976539"}, {"ref": "omdeshmukh/exercise-machine-learning-competitions", "kernel_id": "7002046"}, {"ref": "cavalcantigor/exercise-machine-learning-competitions", "kernel_id": "7204953"}, {"ref": "snord883/exercise-machine-learning-competitions", "kernel_id": "7034674"}, {"ref": "abdoulsn/machine-learning-competitions-house", "kernel_id": "7066909"}, {"ref": "abdoulsn/exercise-pipelines", "kernel_id": "7409349"}, {"ref": "abdoulsn/exercise-machine-learning-competitions", "kernel_id": "7678195"}, {"ref": "johnsonqlin/kernel5620742b4f", "kernel_id": "7538670"}, {"ref": "mabheka/regression-analysis", "kernel_id": "7871202"}, {"ref": "sujata16/exercise-categorical-variables", "kernel_id": "7475471"}, {"ref": "sujata16/exercise-cross-validation", "kernel_id": "7936025"}, {"ref": "sujata16/exercise-xgboost", "kernel_id": "7936180"}, {"ref": "sujata16/exercise-pipelines", "kernel_id": "7934997"}, {"ref": "apoorvm/exercise-categorical-variables", "kernel_id": "7834394"}, {"ref": "moreiramatheus/exercise-introduction", "kernel_id": "7860280"}, {"ref": "miguelrom/exercise-model-validation", "kernel_id": "7161103"}, {"ref": "miguelrom/exercise-underfitting-and-overfitting", "kernel_id": "7161499"}, {"ref": "miguelrom/exercise-your-first-machine-learning-model", "kernel_id": "7158952"}, {"ref": "miguelrom/exercise-machine-learning-competitions", "kernel_id": "7169974"}, {"ref": "sartirious/exercise-missing-values", "kernel_id": "7777939"}, {"ref": "sartirious/exercise-categorical-variables", "kernel_id": "7778475"}, {"ref": "sartirious/exercise-introduction", "kernel_id": "7774728"}, {"ref": "sartirious/exercise-pipelines", "kernel_id": "7787731"}, {"ref": "harshdarji23/exercise-machine-learning-competitions", "kernel_id": "7339719"}, {"ref": "harshdarji23/exercise-your-first-machine-learning-model", "kernel_id": "7455975"}, {"ref": "harshdarji23/exercise-basic-data-exploration", "kernel_id": "7456122"}, {"ref": "harshdarji23/exercise-underfitting-and-overfitting", "kernel_id": "7457193"}, {"ref": "harshdarji23/exercise-random-forests", "kernel_id": "7457377"}, {"ref": "harshdarji23/exercise-model-validation", "kernel_id": "7456813"}, {"ref": "harshdarji23/exercise-data-leakage", "kernel_id": "7531482"}, {"ref": "harshdarji23/exercise-pipelines", "kernel_id": "7530182"}, {"ref": "harshdarji23/exercise-cross-validation", "kernel_id": "7530430"}, {"ref": "harshdarji23/exercise-xgboost", "kernel_id": "7530621"}, {"ref": "harshdarji23/exercise-introduction", "kernel_id": "7521993"}, {"ref": "harshdarji23/exercise-missing-values", "kernel_id": "7522955"}, {"ref": "harshdarji23/exercise-categorical-variables", "kernel_id": "7524983"}, {"ref": "gbriyad/exercise-machine-learning-competitions", "kernel_id": "7911084"}, {"ref": "agisimon/exercise-machine-learning-competitions", "kernel_id": "7893752"}, {"ref": "econdata/exercise-machine-learning-competitions", "kernel_id": "7462972"}, {"ref": "econdata/exercise-underfitting-and-overfitting", "kernel_id": "7462813"}, {"ref": "econdata/exercise-random-forests", "kernel_id": "7463054"}, {"ref": "econdata/exercise-cross-validation", "kernel_id": "7466375"}, {"ref": "econdata/exercise-xgboost", "kernel_id": "7466443"}, {"ref": "econdata/exercise-data-leakage", "kernel_id": "7466488"}, {"ref": "econdata/exercise-introduction", "kernel_id": "7466116"}, {"ref": "econdata/exercise-missing-values", "kernel_id": "7466202"}, {"ref": "econdata/exercise-categorical-variables", "kernel_id": "7466269"}, {"ref": "econdata/exercise-pipelines", "kernel_id": "7466337"}, {"ref": "arielkeslassy/exercise-machine-learning-competitions", "kernel_id": "7223022"}, {"ref": "mitulpatel23/exercise-machine-learning-competitions", "kernel_id": "7381342"}, {"ref": "overload10/exercise-pipelines", "kernel_id": "7767060"}, {"ref": "overload10/exercise-missing-values", "kernel_id": "7750747"}, {"ref": "overload10/exercise-categorical-variables", "kernel_id": "7752295"}, {"ref": "overload10/exercise-xgboost", "kernel_id": "7927316"}, {"ref": "overload10/exercise-cross-validation", "kernel_id": "7910006"}, {"ref": "sonmou/predicting-housing-price-ml-intermediate-course", "kernel_id": "7989205"}, {"ref": "pieterd218/exercise-machine-learning-competitions", "kernel_id": "7050450"}, {"ref": "doaamoh22/exercise-introduction", "kernel_id": "7474751"}, {"ref": "firasmalik/exercise-machine-learning-competitions", "kernel_id": "7783403"}, {"ref": "rosh01/exercise-machine-learning-competitions", "kernel_id": "7594337"}, {"ref": "samacker77k/exercise-machine-learning-competitions", "kernel_id": "7931474"}, {"ref": "guanwenw/exercise-machine-learning-competitions", "kernel_id": "7918320"}, {"ref": "nairibaghdasaryan/exercise-model-validation", "kernel_id": "7100937"}, {"ref": "nairibaghdasaryan/exercise-random-forests", "kernel_id": "7101411"}, {"ref": "nairibaghdasaryan/exercise-underfitting-and-overfitting", "kernel_id": "7101247"}, {"ref": "nairibaghdasaryan/exercise-introduction", "kernel_id": "7007315"}, {"ref": "mhawk520/exercise-machine-learning-competitions", "kernel_id": "7150589"}, {"ref": "rothth/exercise-machine-learning-competitions", "kernel_id": "7812487"}, {"ref": "pamhohhgkgm/exercise-machine-learning-competitions", "kernel_id": "7843406"}, {"ref": "pamhohhgkgm/exercise-introduction", "kernel_id": "7937434"}, {"ref": "priyanshutuli/exercise-introduction", "kernel_id": "7899421"}, {"ref": "sadakmed/exercise-pipelines", "kernel_id": "7243279"}, {"ref": "jeder369/exercise-machine-learning-competitions", "kernel_id": "7286577"}, {"ref": "jordanrburger/exercise-machine-learning-competitions", "kernel_id": "7845306"}, {"ref": "akashsiripuram/exercise-machine-learning-competitions", "kernel_id": "7468945"}, {"ref": "talk2ranjanktr/exercise-xgboost", "kernel_id": "7059399"}, {"ref": "talk2ranjanktr/exercise-categorical-variables", "kernel_id": "7005017"}, {"ref": "manishchhetri/exercise-your-first-machine-learning-model", "kernel_id": "7964837"}, {"ref": "sandeeppokhrel/exercise-machine-learning-competitions", "kernel_id": "7478128"}, {"ref": "sailesh07/exercise-underfitting-and-overfitting", "kernel_id": "7874932"}, {"ref": "sailesh07/exercise-model-validation", "kernel_id": "7874566"}, {"ref": "sailesh07/exercise-your-first-machine-learning-model", "kernel_id": "7874283"}, {"ref": "abhinavanshuman/exercise-basic-data-exploration", "kernel_id": "7760530"}, {"ref": "abhinavanshuman/exercise-model-validation", "kernel_id": "7760875"}, {"ref": "abhinavanshuman/exercise-machine-learning-competitions", "kernel_id": "7760961"}, {"ref": "abhinavanshuman/exercise-your-first-machine-learning-model", "kernel_id": "7760727"}, {"ref": "abhinavanshuman/exercise-random-forests", "kernel_id": "7761392"}, {"ref": "abhinavanshuman/exercise-underfitting-and-overfitting", "kernel_id": "7761265"}, {"ref": "abhinavanshuman/exercise-introduction", "kernel_id": "7816878"}, {"ref": "abhinavanshuman/exercise-missing-values", "kernel_id": "7817264"}, {"ref": "abhinavanshuman/exercise-categorical-variables", "kernel_id": "7833133"}, {"ref": "abhinavanshuman/exercise-cross-validation", "kernel_id": "7833740"}, {"ref": "abhinavanshuman/exercise-pipelines", "kernel_id": "7833606"}, {"ref": "rainmaker29/exercise-pipelines", "kernel_id": "7756870"}, {"ref": "naeimmohammadi/exercise-random-forests", "kernel_id": "7752301"}, {"ref": "naeimmohammadi/exercise-machine-learning-competitions", "kernel_id": "7752389"}, {"ref": "regaipkurt/exercise-model-validation", "kernel_id": "7591650"}, {"ref": "regaipkurt/exercise-underfitting-and-overfitting", "kernel_id": "7591711"}, {"ref": "nazrinjariya/exercise-data-leakage", "kernel_id": "7511071"}, {"ref": "nazrinjariya/exercise-missing-values", "kernel_id": "7494516"}, {"ref": "nazrinjariya/exercise-machine-learning-competitions", "kernel_id": "7419548"}, {"ref": "ruchit007/exercise-machine-learning-competitions", "kernel_id": "7816436"}, {"ref": "hadjerhamaidi/exercise-random-forests", "kernel_id": "7661308"}, {"ref": "hadjerhamaidi/exercise-machine-learning-competitions", "kernel_id": "7661480"}, {"ref": "hadjerhamaidi/exercise-introduction", "kernel_id": "7662512"}, {"ref": "hadjerhamaidi/exercise-underfitting-and-overfitting", "kernel_id": "7660163"}, {"ref": "hadjerhamaidi/exercise-model-validation", "kernel_id": "7659512"}, {"ref": "hadjerhamaidi/exercise-your-first-machine-learning-model", "kernel_id": "7658630"}, {"ref": "hadjerhamaidi/exercise-basic-data-exploration", "kernel_id": "7656865"}, {"ref": "marmadrew/exercise-machine-learning-competitions", "kernel_id": "7656983"}, {"ref": "candacehv/exercise-machine-learning-competitions", "kernel_id": "7189822"}, {"ref": "devanuj/exercise-cross-validation", "kernel_id": "7142734"}, {"ref": "kavitak/exercise-introduction", "kernel_id": "7787578"}, {"ref": "rrishik/exercise-introduction", "kernel_id": "7065493"}, {"ref": "jamyanglotus/exercise-machine-learning-competitions", "kernel_id": "7240597"}, {"ref": "gaawroon/exercise-random-forests", "kernel_id": "7420622"}, {"ref": "gaawroon/exercise-basic-data-exploration", "kernel_id": "7420879"}, {"ref": "gaawroon/exercise-model-validation", "kernel_id": "7420174"}, {"ref": "gaawroon/exercise-underfitting-and-overfitting", "kernel_id": "7420374"}, {"ref": "gaawroon/exercise-machine-learning-competitions", "kernel_id": "7420378"}, {"ref": "gaawroon/exercise-your-first-machine-learning-model", "kernel_id": "7419999"}, {"ref": "yogeshtak/exercise-your-first-machine-learning-model", "kernel_id": "7358346"}, {"ref": "yogeshtak/exercise-random-forests", "kernel_id": "7368147"}, {"ref": "yogeshtak/exercise-machine-learning-competitions", "kernel_id": "7368179"}, {"ref": "yogeshtak/exercise-underfitting-and-overfitting", "kernel_id": "7367937"}, {"ref": "yogeshtak/exercise-model-validation", "kernel_id": "7367665"}, {"ref": "alexisbcook/exercise-classification-testing", "kernel_id": "7361625"}, {"ref": "alexisbcook/model-validation-testing", "kernel_id": "7361626"}, {"ref": "animesh29july/exercise-missing-values", "kernel_id": "7455917"}, {"ref": "kaggleurroad/exercise-categorical-variables", "kernel_id": "7699638"}, {"ref": "kaggleurroad/exercise-pipelines", "kernel_id": "7699950"}, {"ref": "kaggleurroad/exercise-cross-validation", "kernel_id": "7700080"}, {"ref": "kaggleurroad/exercise-data-leakage", "kernel_id": "7700242"}, {"ref": "aminukano/exercise-underfitting-and-overfitting", "kernel_id": "7477630"}, {"ref": "aminukano/exercise-random-forests", "kernel_id": "7477919"}, {"ref": "aminukano/exercise-machine-learning-competitions", "kernel_id": "7477955"}, {"ref": "aminukano/exercise-model-validation", "kernel_id": "7476867"}, {"ref": "aminukano/exercise-your-first-machine-learning-model", "kernel_id": "7471003"}, {"ref": "nbnt001/exercise-machine-learning-competitions", "kernel_id": "7549317"}, {"ref": "sghenimi/exercise-underfitting-and-overfitting", "kernel_id": "7827978"}, {"ref": "zaimeali1997/exercise-model-validation", "kernel_id": "7914347"}, {"ref": "zaimeali1997/exercise-your-first-machine-learning-model-7f6980", "kernel_id": "7914128"}, {"ref": "tansudasli/exercise-machine-learning-competitions", "kernel_id": "7707651"}, {"ref": "tansudasli/exercise-random-forests", "kernel_id": "7706877"}, {"ref": "tansudasli/exercise-underfitting-and-overfitting", "kernel_id": "7706452"}, {"ref": "daveaditya/exercise-cross-validation", "kernel_id": "7693086"}, {"ref": "daveaditya/exercise-data-leakage", "kernel_id": "7693651"}, {"ref": "daveaditya/exercise-xgboost", "kernel_id": "7693431"}, {"ref": "daveaditya/exercise-pipelines", "kernel_id": "7387628"}, {"ref": "vaizars/exercise-categorical-variables", "kernel_id": "7828059"}, {"ref": "vaizars/exercise-pipelines", "kernel_id": "7828258"}, {"ref": "vaizars/exercise-cross-validation", "kernel_id": "7828309"}, {"ref": "vaizars/exercise-introduction", "kernel_id": "7827776"}, {"ref": "vaizars/exercise-missing-values", "kernel_id": "7827822"}, {"ref": "vaizars/exercise-data-leakage", "kernel_id": "7828476"}, {"ref": "vaizars/exercise-xgboost", "kernel_id": "7828432"}, {"ref": "emmanuel24/exercise-machine-learning-competitions", "kernel_id": "7757764"}, {"ref": "minjoolisacho/exercise-machine-learning-competitions", "kernel_id": "7557804"}, {"ref": "jaspritkaur2920/exercise-random-forests", "kernel_id": "7051429"}, {"ref": "jaspritkaur2920/exercise-model-validation", "kernel_id": "7049316"}, {"ref": "jaspritkaur2920/exercise-machine-learning-competitions", "kernel_id": "7049483"}, {"ref": "htmdev/exercise-machine-learning-competitions", "kernel_id": "7203928"}, {"ref": "sahabudin9/exercise-model-validation", "kernel_id": "7608813"}, {"ref": "sahabudin9/exercise-underfitting-and-overfitting", "kernel_id": "7609145"}, {"ref": "sahabudin9/exercise-basic-data-exploration", "kernel_id": "7608333"}, {"ref": "sahabudin9/exercise-your-first-machine-learning-model", "kernel_id": "7485699"}, {"ref": "jinsith/exercise-machine-learning-competitions", "kernel_id": "7392311"}, {"ref": "thatsisoguy/kernel4a2f48266d", "kernel_id": "7983367"}, {"ref": "najwanigirish/exercise-your-first-machine-learning-model", "kernel_id": "7519922"}, {"ref": "benzaitenrr/kernel31c81ab22f", "kernel_id": "7235390"}, {"ref": "mpwolke/exercise-machine-learning-competitions", "kernel_id": "7676781"}, {"ref": "dudejadeep3/exercise-machine-learning-competitions", "kernel_id": "7019284"}, {"ref": "gpandi/exercise-machine-learning-competitions", "kernel_id": "7464993"}, {"ref": "gpandi/exercise-basic-data-exploration", "kernel_id": "7465132"}, {"ref": "roulbac/exercise-machine-learning-competitions", "kernel_id": "7932463"}, {"ref": "squirrelguy/exercise-machine-learning-competitions", "kernel_id": "7744316"}, {"ref": "braulioromero/exercise-machine-learning-competitions", "kernel_id": "7487571"}, {"ref": "anmspro/exercise-your-first-machine-learning-model", "kernel_id": "7040244"}, {"ref": "nawed13593/simple-lasso-solution-for-beginners", "kernel_id": "7349452"}, {"ref": "ahren09/house-price-random-forest", "kernel_id": "7170401"}, {"ref": "kalachevandrew/exercise-machine-learning-competitions", "kernel_id": "7801706"}, {"ref": "ashkuc/exercise-machine-learning-competitions", "kernel_id": "7851122"}, {"ref": "azuredragon/exercise-machine-learning-competitions", "kernel_id": "7899714"}, {"ref": "azuredragon/exercise-missing-values", "kernel_id": "7994905"}, {"ref": "marialink24/exercise-machine-learning-competitions", "kernel_id": "7002904"}, {"ref": "hariprayush/securing-top-8-in-11-steps-as-newbie", "kernel_id": "7217735"}, {"ref": "sushmitaaa/exercise-machine-learning-competitions", "kernel_id": "7711665"}, {"ref": "abhikbr/kernel317a4c6b59housing", "kernel_id": "7017264"}, {"ref": "ruijoaoloureiro/exercise-machine-learning-competitions", "kernel_id": "7627405"}, {"ref": "joyrosie/exercise-machine-learning-competitions", "kernel_id": "7069092"}, {"ref": "clover1qq5/exercise-your-first-machine-learning-model", "kernel_id": "7636617"}, {"ref": "clover1qq5/exercise-basic-data-exploration", "kernel_id": "7635921"}, {"ref": "clover1qq5/exercise-model-validation", "kernel_id": "7887634"}, {"ref": "twista2355/exercise-introduction", "kernel_id": "7911237"}, {"ref": "divyhshah/house-price-prediction", "kernel_id": "7346161"}, {"ref": "tanusa99/exercise-machine-learning-competitions", "kernel_id": "7576263"}, {"ref": "rishabhkatoch/exercise-missing-values-d5adca", "kernel_id": "7672313"}, {"ref": "rishabhkatoch/exercise-machine-learning-competitions", "kernel_id": "7655124"}, {"ref": "rishabhkatoch/exercise-underfitting-and-overfitting", "kernel_id": "7654721"}, {"ref": "rishabhkatoch/exercise-model-validation", "kernel_id": "7654576"}, {"ref": "rishabhkatoch/exercise-basic-data-exploration", "kernel_id": "7649989"}, {"ref": "rishabhkatoch/exercise-introduction", "kernel_id": "7667866"}, {"ref": "deepakqwerty8/kernel5dbff305ba", "kernel_id": "7201474"}, {"ref": "khushboonyman/exercise-xgboost", "kernel_id": "7507624"}, {"ref": "khushboonyman/exercise-pipelines", "kernel_id": "7403491"}, {"ref": "khushboonyman/exercise-cross-validation", "kernel_id": "7416864"}, {"ref": "adnanrahin/exercise-model-validation", "kernel_id": "7240105"}, {"ref": "pedrovieira73/exercise-machine-learning-competitions", "kernel_id": "7707946"}, {"ref": "joshuakamotho/exercise-machine-learning-competitions", "kernel_id": "7669481"}, {"ref": "androclassic/exercise-machine-learning-competitions", "kernel_id": "7796635"}, {"ref": "babatunde13/exercise-machine-learning-competitions", "kernel_id": "7899235"}, {"ref": "inarticulatus/exercise-machine-learning-competitions", "kernel_id": "7255084"}, {"ref": "vishal146/exercise-your-first-machine-learning-model", "kernel_id": "7845218"}, {"ref": "vishal146/exercise-model-validation", "kernel_id": "7845671"}, {"ref": "daenys2000/exercise-missing-values", "kernel_id": "7237316"}, {"ref": "daenys2000/exercise-pipelines", "kernel_id": "7238528"}, {"ref": "daenys2000/exercise-machine-learning-competitions", "kernel_id": "7235312"}, {"ref": "daenys2000/exercise-introduction", "kernel_id": "7235584"}, {"ref": "muhmad18/exercise-random-forests", "kernel_id": "7087894"}, {"ref": "datoxy/exercise-machine-learning-competitions", "kernel_id": "7671000"}, {"ref": "kisoibo/exercise-xgboost", "kernel_id": "7142025"}, {"ref": "tedlasai/exercise-machine-learning-competitions", "kernel_id": "7304658"}, {"ref": "nataliatretiakova/exercise-introduction", "kernel_id": "7020225"}, {"ref": "jmhuertasg/exercise-basic-data-exploration", "kernel_id": "7644989"}, {"ref": "ilonacodes/exercise-machine-learning-competitions", "kernel_id": "7849562"}, {"ref": "rushikesh999/exercise-machine-learning-competitions", "kernel_id": "7830852"}, {"ref": "krtverma98/exercise-missing-values", "kernel_id": "7688718"}, {"ref": "krtverma98/exercise-categorical-variables", "kernel_id": "7720681"}, {"ref": "cybe4punk/exercise-underfitting-and-overfitting", "kernel_id": "7583894"}, {"ref": "cybe4punk/exercise-random-forests", "kernel_id": "7584138"}, {"ref": "cybe4punk/exercise-machine-learning-competitions", "kernel_id": "7583106"}, {"ref": "cybe4punk/exercise-model-validation", "kernel_id": "7583736"}, {"ref": "shantanumishra/exercise-xgboost", "kernel_id": "7668999"}, {"ref": "shantanumishra/exercise-underfitting-and-overfitting", "kernel_id": "7458774"}, {"ref": "shantanumishra/exercise-your-first-machine-learning-model-668c42", "kernel_id": "7458122"}, {"ref": "shantanumishra/exercise-model-validation", "kernel_id": "7457741"}, {"ref": "shantanumishra/exercise-your-first-machine-learning-model", "kernel_id": "7456243"}, {"ref": "shantanumishra/exercise-basic-data-exploration", "kernel_id": "7473106"}, {"ref": "shantanumishra/exercise-machine-learning-competitions", "kernel_id": "7472549"}, {"ref": "shantanumishra/exercise-random-forests", "kernel_id": "7472411"}, {"ref": "shantanumishra/exercise-cross-validation", "kernel_id": "7635508"}, {"ref": "shantanumishra/exercise-pipelines", "kernel_id": "7624661"}, {"ref": "shantanumishra/exercise-categorical-variables", "kernel_id": "7609849"}, {"ref": "shantanumishra/exercise-missing-values", "kernel_id": "7607304"}, {"ref": "shantanumishra/exercise-introduction", "kernel_id": "7515074"}, {"ref": "mascck/exercise-machine-learning-competitions", "kernel_id": "7235537"}, {"ref": "mascck/exercise-introduction", "kernel_id": "7238116"}, {"ref": "mascck/exercise-missing-values", "kernel_id": "7258686"}, {"ref": "mascck/exercise-categorical-variables", "kernel_id": "7284504"}, {"ref": "namanj27/top-2-on-lb-housing-price", "kernel_id": "7223595"}, {"ref": "brinkokevin/exercise-machine-learning-competitions", "kernel_id": "7862378"}, {"ref": "abhijit380/exercise-machine-learning-competitions", "kernel_id": "7591674"}, {"ref": "lokeshkar12/exercise-machine-learning-competitions", "kernel_id": "7319944"}, {"ref": "amolwadpalle/house-prices-comp-submission-2", "kernel_id": "7025764"}, {"ref": "amolwadpalle/house-prices-comp-submission-1", "kernel_id": "7022091"}, {"ref": "amolwadpalle/house-prices-comp-submission-3", "kernel_id": "7035561"}, {"ref": "amjidkhan7793/exercise-introduction", "kernel_id": "7643476"}, {"ref": "arturnowak/exercise-missing-values", "kernel_id": "7343242"}, {"ref": "arturnowak/exercise-machine-learning-competitions", "kernel_id": "7161608"}, {"ref": "arturnowak/exercise-introduction", "kernel_id": "7166896"}, {"ref": "aashsub90/exercise-machine-learning-competitions", "kernel_id": "7086765"}, {"ref": "hirenraj/exercise-pipelines", "kernel_id": "7280321"}, {"ref": "hirenraj/exercise-xgboost", "kernel_id": "7280682"}, {"ref": "hirenraj/exercise-introduction", "kernel_id": "7063476"}, {"ref": "mihoubilamia/3rd-submission", "kernel_id": "7216907"}, {"ref": "jpgebster/exercise-machine-learning-competitions", "kernel_id": "7252399"}, {"ref": "esasiela/exercise-machine-learning-competitions", "kernel_id": "7672459"}, {"ref": "varunid/exercise-machine-learning-competitions", "kernel_id": "7888536"}, {"ref": "harijeyan/exercise-basic-data-exploration", "kernel_id": "7707690"}, {"ref": "harijeyan/exercise-your-first-machine-learning-model", "kernel_id": "7753956"}, {"ref": "harijeyan/exercise-underfitting-and-overfitting", "kernel_id": "7794259"}, {"ref": "harijeyan/exercise-random-forests", "kernel_id": "7795109"}, {"ref": "harijeyan/exercise-machine-learning-competitions", "kernel_id": "7795139"}, {"ref": "harijeyan/exercise-model-validation", "kernel_id": "7792376"}, {"ref": "omkar9998/exercise-your-first-machine-learning-model-done", "kernel_id": "7593325"}, {"ref": "shantanuss/exercise-categorical-variables", "kernel_id": "7050120"}, {"ref": "shantanuss/exercise-introduction", "kernel_id": "7049366"}, {"ref": "shantanuss/exercise-missing-values", "kernel_id": "7049645"}, {"ref": "shantanuss/exercise-machine-learning-competitions", "kernel_id": "7045293"}, {"ref": "shantanuss/exercise-random-forests", "kernel_id": "7045251"}, {"ref": "shantanuss/exercise-underfitting-and-overfitting", "kernel_id": "7045060"}, {"ref": "shantanuss/exercise-model-validation", "kernel_id": "7044782"}, {"ref": "shantanuss/exercise-pipelines", "kernel_id": "7076830"}, {"ref": "shantanuss/exercise-xgboost", "kernel_id": "7078267"}, {"ref": "shantanuss/exercise-cross-validation", "kernel_id": "7077850"}, {"ref": "carcambor77/exercise-cross-validation", "kernel_id": "7873615"}, {"ref": "cthulhuofvhoorl/exercise-machine-learning-competitions", "kernel_id": "7789410"}, {"ref": "tanjackfong88/exercise-your-first-machine-learning-model", "kernel_id": "7951061"}, {"ref": "tanjackfong88/exercise-model-validation", "kernel_id": "7953242"}, {"ref": "tanjackfong88/exercise-underfitting-and-overfitting", "kernel_id": "7954191"}, {"ref": "tanjackfong88/exercise-random-forests", "kernel_id": "7967935"}, {"ref": "tanjackfong88/exercise-machine-learning-competitions", "kernel_id": "7967997"}, {"ref": "mathiasgodwin/exercise-cross-validation", "kernel_id": "7225449"}, {"ref": "mathiasgodwin/exercise-pipelines", "kernel_id": "7189723"}, {"ref": "mathiasgodwin/exercise-categorical-variables", "kernel_id": "7166905"}, {"ref": "mathiasgodwin/exercise-missing-values", "kernel_id": "7038924"}, {"ref": "mathiasgodwin/exercise-machine-learning-competitions", "kernel_id": "7029953"}, {"ref": "bfernandes/exercise-model-validation", "kernel_id": "7590899"}, {"ref": "samnutt/exercise-machine-learning-competitions", "kernel_id": "7009388"}, {"ref": "nourshosharah/exercise-machine-learning-competitions", "kernel_id": "7957154"}, {"ref": "nourshosharah/exercise-missing-values", "kernel_id": "7960297"}, {"ref": "nourshosharah/exercise-categorical-variables", "kernel_id": "7961229"}, {"ref": "nourshosharah/exercise-xgboost", "kernel_id": "7975456"}, {"ref": "ramshabukhari/exercise-your-first-machine-learning-model-e0c1cf", "kernel_id": "7969630"}, {"ref": "ramshabukhari/exercise-random-forests", "kernel_id": "7970305"}, {"ref": "akinyiocholla/exercise-pipelines", "kernel_id": "7355878"}, {"ref": "abadeer/exercise-machine-learning-competitions", "kernel_id": "7761599"}, {"ref": "brunorodalvs/exercise-categorical-variables", "kernel_id": "7215522"}, {"ref": "brunorodalvs/exercise-missing-values", "kernel_id": "7213349"}, {"ref": "mhmdmushtaha/exercise-random-forests", "kernel_id": "7004029"}, {"ref": "mhmdmushtaha/exercise-machine-learning-competitions", "kernel_id": "7005860"}, {"ref": "aapopov/housing-prices-competition", "kernel_id": "7817754"}, {"ref": "pruthvirajangadi/exercise-introduction", "kernel_id": "7580109"}, {"ref": "iraf1404/exercise-introduction", "kernel_id": "7227776"}, {"ref": "naoualsmaili/exercise-basic-data-exploration", "kernel_id": "7675295"}, {"ref": "naoualsmaili/exercise-your-first-machine-learning-model", "kernel_id": "7676786"}, {"ref": "naoualsmaili/exercise-model-validation", "kernel_id": "7834756"}, {"ref": "naoualsmaili/exercise-underfitting-and-overfitting", "kernel_id": "7835175"}, {"ref": "naoualsmaili/exercise-random-forests", "kernel_id": "7844109"}, {"ref": "naoualsmaili/exercise-machine-learning-competitions", "kernel_id": "7844230"}, {"ref": "gautamkumarojha/exercise-categorical-variables", "kernel_id": "7721863"}, {"ref": "charvigaur/exercise-machine-learning-competitions", "kernel_id": "7662078"}, {"ref": "nikhilsn/exercise-machine-learning-competitions", "kernel_id": "7372845"}, {"ref": "hyulun/exercise-cross-validation", "kernel_id": "7019228"}, {"ref": "hyulun/exercise-pipelines", "kernel_id": "7014740"}, {"ref": "hyulun/exercise-xgboost", "kernel_id": "7039216"}, {"ref": "hyulun/exercise-data-leakage", "kernel_id": "7058644"}, {"ref": "raimondofusco/exercise-introduction", "kernel_id": "7023367"}, {"ref": "manaswinibajpai/exercise-machine-learning-competitions", "kernel_id": "7045435"}, {"ref": "snehilsrivastava16/exercise-machine-learning-competitions", "kernel_id": "7239531"}, {"ref": "snehilsrivastava16/exercise-underfitting-and-overfitting", "kernel_id": "7230965"}, {"ref": "abdulelahrizan/exercise-machine-learning-competitions", "kernel_id": "7041153"}, {"ref": "postwater/exercise-xgboost", "kernel_id": "7694770"}, {"ref": "tonyhuii/exercise-introduction", "kernel_id": "7249251"}, {"ref": "pranshurajsinha/exercise-introduction", "kernel_id": "7045426"}, {"ref": "pranshurajsinha/exercise-machine-learning-competitions", "kernel_id": "7043404"}, {"ref": "pranshurajsinha/exercise-missing-values", "kernel_id": "7217615"}, {"ref": "sarrazouaoui/exercise-categorical-variables", "kernel_id": "7119549"}, {"ref": "danielcastagna/exercise-your-first-machine-learning-model-01", "kernel_id": "7583081"}, {"ref": "danielcastagna/exercise-underfitting-and-overfitting", "kernel_id": "7560039"}, {"ref": "danielcastagna/exercise-random-forests", "kernel_id": "7561560"}, {"ref": "danielcastagna/exercise-machine-learning-competitions", "kernel_id": "7561661"}, {"ref": "danielcastagna/exercise-your-first-machine-learning-model", "kernel_id": "7551826"}, {"ref": "danielcastagna/exercise-basic-data-exploration", "kernel_id": "7551949"}, {"ref": "danielcastagna/exercise-model-validation", "kernel_id": "7554072"}, {"ref": "rashidpk/exercise-machine-learning-competitions", "kernel_id": "7288858"}, {"ref": "aditeesingh/exercise-your-first-machine-learning-model", "kernel_id": "7574365"}, {"ref": "ahmedalghaliz/exercise-data-leakage", "kernel_id": "7433582"}, {"ref": "ahmedalghaliz/exercise-cross-validation", "kernel_id": "7369305"}, {"ref": "ahmedalghaliz/exercise-machine-learning-competitions", "kernel_id": "7062678"}, {"ref": "ahmedalghaliz/exercise-missing-values", "kernel_id": "7195712"}, {"ref": "ahmedalghaliz/exercise-introduction", "kernel_id": "7160154"}, {"ref": "ahmedalghaliz/exercise-categorical-variables", "kernel_id": "7281706"}, {"ref": "fathialasali/exercise-introduction", "kernel_id": "7172586"}, {"ref": "fathialasali/exercise-missing-values", "kernel_id": "7197393"}, {"ref": "fathialasali/exercise-model-validation", "kernel_id": "7075194"}, {"ref": "fathialasali/exercise-random-forests", "kernel_id": "7092568"}, {"ref": "fathialasali/exercise-categorical-variables", "kernel_id": "7368601"}, {"ref": "benscruggs/exercise-introduction", "kernel_id": "7023677"}, {"ref": "neetusinha/exercise-pipelines", "kernel_id": "7850627"}, {"ref": "rafiafridi12/fork-of-exercise-machine-learning-competitions", "kernel_id": "7276238"}, {"ref": "rafiafridi12/kernel95bd3cb11f", "kernel_id": "7275990"}, {"ref": "josephbatley/exercise-introduction", "kernel_id": "7425228"}, {"ref": "mueezjavaidhashmi/exercise-xgboost", "kernel_id": "7023831"}, {"ref": "mueezjavaidhashmi/exercise-cross-validation", "kernel_id": "7023547"}, {"ref": "mueezjavaidhashmi/exercise-categorical-variables", "kernel_id": "7022397"}, {"ref": "mueezjavaidhashmi/exercise-pipelines", "kernel_id": "7022890"}, {"ref": "mueezjavaidhashmi/exercise-data-leakage", "kernel_id": "7024659"}, {"ref": "divyaupadhyay/exercise-machine-learning-competitions", "kernel_id": "7764229"}, {"ref": "hemanshkhaneja/exercise-machine-learning-competitions", "kernel_id": "7051877"}, {"ref": "jianyizhu9990/exercise-missing-values", "kernel_id": "7093736"}, {"ref": "guillermomartnezprez/exercise-categorical-variables", "kernel_id": "7450560"}, {"ref": "sathyathiruvengadam/exercise-machine-learning-competitions", "kernel_id": "7114117"}, {"ref": "gkhanhalkman/exercise-introduction", "kernel_id": "7260111"}, {"ref": "utkarshkumar153/exercise-your-first-machine-learning-model", "kernel_id": "7027066"}, {"ref": "utkarshkumar153/exercise-model-validation", "kernel_id": "7029284"}, {"ref": "utkarshkumar153/exercise-underfitting-and-overfitting", "kernel_id": "7029582"}, {"ref": "utkarshkumar153/exercise-random-forests", "kernel_id": "7031384"}, {"ref": "utkarshkumar153/exercise-missing-values", "kernel_id": "7051823"}, {"ref": "sacmit/exercise-missing-values", "kernel_id": "7280315"}, {"ref": "tarunberi/exercise-introduction", "kernel_id": "7217657"}, {"ref": "tarunberi/exercise-machine-learning-competitions", "kernel_id": "7201938"}, {"ref": "joachimwagner/exercise-machine-learning-competitions", "kernel_id": "7050856"}, {"ref": "edwardkolodziejski/exercise-your-first-machine-learning-model", "kernel_id": "7056255"}, {"ref": "edwardkolodziejski/exercise-model-validation", "kernel_id": "7069364"}, {"ref": "edwardkolodziejski/exercise-random-forests", "kernel_id": "7200497"}, {"ref": "edwardkolodziejski/exercise-machine-learning-competitions", "kernel_id": "7200597"}, {"ref": "edwardkolodziejski/exercise-underfitting-and-overfitting", "kernel_id": "7199628"}, {"ref": "florentch/exercise-machine-learning-competitions", "kernel_id": "7053996"}, {"ref": "williamfluck/exercise-machine-learning-competitions", "kernel_id": "7887454"}, {"ref": "adammcmurchie/exercise-machine-learning-competitions", "kernel_id": "7148381"}, {"ref": "adek990326/exercise-machine-learning-competitions", "kernel_id": "7077217"}, {"ref": "erwan88/exercise-model-validation", "kernel_id": "7088219"}, {"ref": "erwan88/exercise-underfitting-and-overfitting", "kernel_id": "7088702"}, {"ref": "donthiakshay/exercise-introduction", "kernel_id": "7198626"}, {"ref": "kqinai/exercise-xgboost", "kernel_id": "7158535"}, {"ref": "priyankgpatel/exercise-your-first-machine-learning-model", "kernel_id": "7198595"}, {"ref": "priyankgpatel/exercise-model-validation", "kernel_id": "7218246"}, {"ref": "ilyabondarev/exercise-introduction", "kernel_id": "7368952"}, {"ref": "ilyabondarev/exercise-machine-learning-competitions", "kernel_id": "7322556"}, {"ref": "nandeshprasad/kernel06f86a642c", "kernel_id": "7766428"}, {"ref": "nandeshprasad/exercise-underfitting-and-overfitting", "kernel_id": "7765694"}, {"ref": "mouadriali/exercise-machine-learning-competitions", "kernel_id": "7695255"}, {"ref": "marinairdayanti/exercise-your-first-machine-learning-model", "kernel_id": "7211143"}, {"ref": "alexeyanofryev/exercise-xgboost", "kernel_id": "7361922"}, {"ref": "pierayehvahdani/exercise-machine-learning-competitions", "kernel_id": "7364627"}, {"ref": "mmkstarr/kernel95a78b4395", "kernel_id": "7227328"}, {"ref": "kumadasu/exercise-introduction", "kernel_id": "7233626"}, {"ref": "shreyasmith/exercise-machine-learning-competitions", "kernel_id": "7238902"}, {"ref": "conorphillips/exercise-machine-learning-competitions", "kernel_id": "7243123"}, {"ref": "amansinghbawa/exercise-introduction", "kernel_id": "7692806"}, {"ref": "amansinghbawa/exercise-missing-values", "kernel_id": "7693480"}, {"ref": "amansinghbawa/exercise-machine-learning-competitions", "kernel_id": "7685910"}, {"ref": "tbramkamal/exercise-missing-values", "kernel_id": "7546311"}, {"ref": "issacgardner/exercise-machine-learning-competitions", "kernel_id": "7284916"}, {"ref": "lucyhao/exercise-introduction", "kernel_id": "7610686"}, {"ref": "lucyhao/exercise-missing-values", "kernel_id": "7610783"}, {"ref": "rtytmain/exercise-machine-learning-competitions", "kernel_id": "7320429"}, {"ref": "oguzhanercan/break-into-machine-learning-exercises", "kernel_id": "7531877"}, {"ref": "invisibl3hand/exercise-machine-learning-competitions", "kernel_id": "7571573"}, {"ref": "aspiringpeak/exercise-machine-learning-competitions", "kernel_id": "7724007"}, {"ref": "gumboyaya/exercise-introduction", "kernel_id": "7354720"}, {"ref": "chengzhuzhang/exercise-machine-learning-competitions", "kernel_id": "7790845"}, {"ref": "bhimsingh/exercise-xgboost", "kernel_id": "7654004"}, {"ref": "bhimsingh/exercise-model-validation", "kernel_id": "7356583"}, {"ref": "adarslonim/exercise-introduction", "kernel_id": "7636802"}, {"ref": "stevenschormann/exercise-machine-learning-competitions", "kernel_id": "7626125"}, {"ref": "stevenschormann/exercise-introduction", "kernel_id": "7628067"}, {"ref": "anilos/decisiontreemodel-1", "kernel_id": "7771090"}, {"ref": "anilos/randomforest-with-simple-imputation", "kernel_id": "7844684"}, {"ref": "anilos/randomforest-with-labelencoder", "kernel_id": "7914657"}, {"ref": "anilos/randomforest-using-pipelines-simplei-onehote", "kernel_id": "7958294"}, {"ref": "alimoeinigharagozloo/exercise-basic-data-exploration", "kernel_id": "7600349"}, {"ref": "aubryprieur/exercise-cross-validation", "kernel_id": "7656969"}, {"ref": "aubryprieur/exercise-xgboost", "kernel_id": "7673944"}, {"ref": "aubryprieur/exercise-data-leakage", "kernel_id": "7674949"}, {"ref": "aubryprieur/exercise-basic-data-exploration", "kernel_id": "7424213"}, {"ref": "aubryprieur/exercise-your-first-machine-learning-model", "kernel_id": "7424388"}, {"ref": "aubryprieur/exercise-your-first-machine-learning-model-e0c2b5", "kernel_id": "7432917"}, {"ref": "aubryprieur/exercise-model-validation", "kernel_id": "7435924"}, {"ref": "aubryprieur/exercise-underfitting-and-overfitting", "kernel_id": "7436742"}, {"ref": "aubryprieur/exercise-random-forests", "kernel_id": "7437653"}, {"ref": "aubryprieur/exercise-machine-learning-competitions", "kernel_id": "7437793"}, {"ref": "aubryprieur/exercise-pipelines", "kernel_id": "7593677"}, {"ref": "aubryprieur/exercise-categorical-variables", "kernel_id": "7512421"}, {"ref": "aubryprieur/exercise-missing-values", "kernel_id": "7510239"}, {"ref": "aubryprieur/exercise-introduction", "kernel_id": "7508000"}, {"ref": "murilorodrigues/exercise-underfitting-and-overfitting", "kernel_id": "7387752"}, {"ref": "samansiddibapa/exercise-machine-learning-competitions", "kernel_id": "7492947"}, {"ref": "rodolfocicolin/exercise-machine-learning-competitions", "kernel_id": "7428486"}, {"ref": "anitaml/exercise-machine-learning-competitions", "kernel_id": "7632097"}, {"ref": "amank56/exercise-model-validation", "kernel_id": "7553781"}, {"ref": "khursheedahmad/exercise-categorical-variables", "kernel_id": "7810938"}, {"ref": "khursheedahmad/exercise-pipelines", "kernel_id": "7811637"}, {"ref": "khursheedahmad/exercise-xgboost", "kernel_id": "7824008"}, {"ref": "khursheedahmad/exercise-missing-values", "kernel_id": "7784169"}, {"ref": "khursheedahmad/exercise-machine-learning-competitions", "kernel_id": "7780922"}, {"ref": "tshepi/exercise-machine-learning-competitions", "kernel_id": "7547940"}, {"ref": "shivam1097/house-price-prediction-competition", "kernel_id": "7938420"}, {"ref": "fowjaelahamed/housing-prices-machine-learning-competitions", "kernel_id": "7635819"}, {"ref": "emircanerkul/exercise-introduction", "kernel_id": "7573496"}, {"ref": "andreatavani/exercise-introduction", "kernel_id": "7757345"}, {"ref": "cmviall/exercise-machine-learning-competitions", "kernel_id": "7516767"}, {"ref": "kevintran4/exercise-machine-learning-competitions", "kernel_id": "7765649"}, {"ref": "kevintran4/exercise-pipelines", "kernel_id": "7782982"}, {"ref": "kevintran4/exercise-categorical-variables", "kernel_id": "7782607"}, {"ref": "kevintran4/exercise-xgboost", "kernel_id": "7783440"}, {"ref": "kevintran4/exercise-cross-validation", "kernel_id": "7783204"}, {"ref": "satyamgoyal/machine-learning-competitions", "kernel_id": "7889209"}, {"ref": "jainsudhir/exercise-your-first-machine-learning-model", "kernel_id": "7693888"}, {"ref": "cjwalker/exercise-machine-learning-competitions", "kernel_id": "7583706"}, {"ref": "hernanponcetta/exercise-machine-learning-competitions", "kernel_id": "7879377"}, {"ref": "derek1317/exercise-pipelines", "kernel_id": "7692537"}, {"ref": "derek1317/exercise-xgboost", "kernel_id": "7692992"}, {"ref": "solgaix/exercise-machine-learning-competitions", "kernel_id": "7763550"}, {"ref": "ilyavinogradov/exercise-machine-learning-competitions", "kernel_id": "7719864"}, {"ref": "shahriarsaurov/exercise-your-first-machine-learning-model", "kernel_id": "7927690"}, {"ref": "shahriarsaurov/exercise-machine-learning-competitions", "kernel_id": "7927024"}, {"ref": "shahriarsaurov/exercise-model-validation", "kernel_id": "7934311"}, {"ref": "shahriarsaurov/exercise-random-forests", "kernel_id": "7934575"}, {"ref": "shahriarsaurov/exercise-underfitting-and-overfitting", "kernel_id": "7934480"}, {"ref": "shahriarsaurov/exercise-introduction", "kernel_id": "7934701"}, {"ref": "shahriarsaurov/exercise-missing-values", "kernel_id": "7934719"}, {"ref": "shahriarsaurov/exercise-data-leakage", "kernel_id": "7941188"}, {"ref": "shahriarsaurov/exercise-xgboost", "kernel_id": "7940929"}, {"ref": "shahriarsaurov/exercise-cross-validation", "kernel_id": "7940699"}, {"ref": "shahriarsaurov/exercise-categorical-variables", "kernel_id": "7940069"}, {"ref": "yuhboi/exercise-xgboost", "kernel_id": "7788781"}, {"ref": "mlassasin/exercise-machine-learning-competitions", "kernel_id": "7662664"}, {"ref": "maksimpozdnyakov/exercise-machine-learning-competitions", "kernel_id": "7715043"}, {"ref": "alynmi18/exercise-introduction", "kernel_id": "7657093"}, {"ref": "danurahul/exercise-machine-learning-competitions", "kernel_id": "7820883"}, {"ref": "kunalbanerjee/exercise-machine-learning-competitions", "kernel_id": "7926289"}, {"ref": "pushpkumar123/exercise-introduction", "kernel_id": "7681124"}, {"ref": "debopamdas/kernel66a61d415f", "kernel_id": "7848034"}, {"ref": "kashga/exercise-pipelines", "kernel_id": "7988583"}, {"ref": "varunpatkar/exercise-machine-learning-competitions", "kernel_id": "7787519"}, {"ref": "kevinbriceo/exercise-machine-learning-competitions", "kernel_id": "7835656"}, {"ref": "kevinbriceo/exercise-introduction", "kernel_id": "7835845"}, {"ref": "rohitsatya/exercise-machine-learning-competitions", "kernel_id": "7755332"}, {"ref": "taherpoonawala/exercise-machine-learning-competitions", "kernel_id": "7886927"}, {"ref": "ericmartin827/exercise-introduction", "kernel_id": "7786549"}, {"ref": "ericmartin827/exercise-machine-learning-competitions", "kernel_id": "7786240"}, {"ref": "samgreenleaf/exercise-categorical-variables", "kernel_id": "7959866"}, {"ref": "rajasekharmarella/exercise-machine-learning-competitions", "kernel_id": "7959862"}, {"ref": "bartlomiejchybowski/exercise-machine-learning-competitions", "kernel_id": "7889560"}, {"ref": "makitonana/exercise-machine-learning-competitions", "kernel_id": "7897117"}, {"ref": "mosabyousif/exercise-categorical-variables", "kernel_id": "7987818"}, {"ref": "alexandrepetrachini/exercise-xgboost", "kernel_id": "7863104"}, {"ref": "alanmynah/exercise-introduction", "kernel_id": "7925200"}, {"ref": "marusia8462/exercise-introduction", "kernel_id": "7923122"}, {"ref": "michaellouieloria/exercise-model-validation", "kernel_id": "7999853"}, {"ref": "michaellouieloria/exercise-your-first-machine-learning-model", "kernel_id": "7999249"}, {"ref": "maha124678/exercise-machine-learning-competitions", "kernel_id": "8169868"}, {"ref": "mikhailalekseev/exercise-machine-learning-competitions", "kernel_id": "8707780"}, {"ref": "ladidinesh/prediction-of-housing-prices", "kernel_id": "8788652"}, {"ref": "olivierbachard/exercise-machine-learning-competitions", "kernel_id": "8892138"}, {"ref": "jerrydowetin/exercise-your-first-machine-learning-model-5f51f3", "kernel_id": "8365762"}, {"ref": "zzemadj/2020-03-04-xgboost-improve-with-cleaning-data", "kernel_id": "8250704"}, {"ref": "kaunal11/exercise-machine-learning-competitions", "kernel_id": "8060447"}, {"ref": "manjeetsingh/a-simple-and-basic-model-house-price-prediction", "kernel_id": "8952505"}, {"ref": "charleyg/housing-prices", "kernel_id": "8856210"}, {"ref": "ankanhore545/exercise-machine-learning-competitions", "kernel_id": "8326686"}, {"ref": "pdyoung/exercise-machine-learning-competitions", "kernel_id": "8692508"}, {"ref": "carlostesting/exercise-pipelines", "kernel_id": "8526976"}, {"ref": "carlostesting/exercise-introduction", "kernel_id": "8411175"}, {"ref": "erinfeaser311/exercise-xgboost", "kernel_id": "8755021"}, {"ref": "erinfeaser311/exercise-cross-validation", "kernel_id": "8754565"}, {"ref": "overload10/exercise-data-leakage", "kernel_id": "8037827"}, {"ref": "tawabml/exercise-your-first-machine-learning-model", "kernel_id": "8098146"}, {"ref": "tawabml/exercise-model-validation", "kernel_id": "8098206"}, {"ref": "tawabml/exercise-pipelines", "kernel_id": "8100942"}, {"ref": "tawabml/exercise-categorical-variables", "kernel_id": "8100288"}, {"ref": "tawabml/exercise-underfitting-and-overfitting", "kernel_id": "8098878"}, {"ref": "tawabml/exercise-random-forests", "kernel_id": "8099204"}, {"ref": "tawabml/exercise-machine-learning-competitions", "kernel_id": "8099245"}, {"ref": "tawabml/exercise-introduction", "kernel_id": "8099329"}, {"ref": "tawabml/exercise-missing-values", "kernel_id": "8099663"}, {"ref": "tawabml/exercise-data-leakage", "kernel_id": "8137322"}, {"ref": "tawabml/exercise-cross-validation", "kernel_id": "8122158"}, {"ref": "tawabml/exercise-xgboost", "kernel_id": "8122649"}, {"ref": "tawabml/exercise-xgboost-9b5e98", "kernel_id": "8122650"}, {"ref": "shawnlee1227/exercise-machine-learning-competitions", "kernel_id": "8183264"}, {"ref": "tej2690/exercise-machine-learning-competitions", "kernel_id": "8576622"}, {"ref": "sri201822/exercise-machine-learning-competitions", "kernel_id": "8318538"}, {"ref": "milan400/xgboost", "kernel_id": "8755007"}, {"ref": "pshukla1989/exercise-your-first-machine-learning-model", "kernel_id": "8298717"}, {"ref": "ankit974gupta/exercise-your-first-machine-learning-model", "kernel_id": "8131869"}, {"ref": "pradeepsavaji/exercise-introduction", "kernel_id": "8557089"}, {"ref": "uddeshya1812/exercise-model-validation", "kernel_id": "8859430"}, {"ref": "uddeshya1812/exercise-introduction", "kernel_id": "8862153"}, {"ref": "ramprakasism/exercise-random-forests", "kernel_id": "8166740"}, {"ref": "ramprakasism/exercise-machine-learning-competitions", "kernel_id": "8166788"}, {"ref": "ramprakasism/exercise-model-validation", "kernel_id": "8166061"}, {"ref": "ramprakasism/exercise-underfitting-and-overfitting", "kernel_id": "8166405"}, {"ref": "ramprakasism/exercise-your-first-machine-learning-model", "kernel_id": "8165552"}, {"ref": "abhinavanshuman/exercise-xgboost", "kernel_id": "8032135"}, {"ref": "abhinavanshuman/exercise-data-leakage", "kernel_id": "8032785"}, {"ref": "srikarduvvuri/exercise-machine-learning-competitions", "kernel_id": "8051969"}, {"ref": "dhruvpatel1057/housing-price-inclass", "kernel_id": "8655515"}, {"ref": "jucadan/kernel691cbb321a", "kernel_id": "8862821"}, {"ref": "ranjithrj23/exercise-your-first-machine-learning-model", "kernel_id": "8238639"}, {"ref": "ranjithrj23/exercise-model-validation", "kernel_id": "8239044"}, {"ref": "anuragpandey9/exercise-machine-learning-competitions", "kernel_id": "8775370"}, {"ref": "anuragpandey9/exercise-categorical-variables", "kernel_id": "8802067"}, {"ref": "anuragpandey9/exercise-cross-validation", "kernel_id": "8846111"}, {"ref": "devanuj/help-me-updated", "kernel_id": "8276352"}, {"ref": "zacktack/data-scientist-journey-house-pricing-prediction", "kernel_id": "8807136"}, {"ref": "nguyenhoc/data-cleaning-and-predict-using-xgboost", "kernel_id": "8857315"}, {"ref": "imyme6yo/exercise-machine-learning-competitions", "kernel_id": "8247193"}, {"ref": "sankethv/exercise-categorical-variables", "kernel_id": "8895109"}, {"ref": "pramod265/exercise-xgboost", "kernel_id": "8115037"}, {"ref": "pramod265/exercise-data-leakage", "kernel_id": "8115706"}, {"ref": "pramod265/exercise-cross-validation", "kernel_id": "8113456"}, {"ref": "pramod265/exercise-underfitting-and-overfitting", "kernel_id": "8028552"}, {"ref": "pramod265/exercise-your-first-machine-learning-model", "kernel_id": "8007872"}, {"ref": "pramod265/exercise-model-validation", "kernel_id": "8010873"}, {"ref": "pramod265/exercise-missing-values", "kernel_id": "8059656"}, {"ref": "pramod265/exercise-introduction", "kernel_id": "8043131"}, {"ref": "pramod265/exercise-machine-learning-competitions", "kernel_id": "8042588"}, {"ref": "pramod265/exercise-random-forests", "kernel_id": "8042524"}, {"ref": "pramod265/exercise-categorical-variables", "kernel_id": "8099301"}, {"ref": "pramod265/exercise-pipelines", "kernel_id": "8112778"}, {"ref": "zaimeali1997/boston-housing-prediction-competition", "kernel_id": "8101527"}, {"ref": "pkaewphing/exercise-your-first-machine-learning-model", "kernel_id": "8980189"}, {"ref": "pkaewphing/exercise-model-validation", "kernel_id": "8981504"}, {"ref": "jaydensmiththeman/exercise-missing-values", "kernel_id": "8463212"}, {"ref": "qadri25/exercise-introduction", "kernel_id": "8514273"}, {"ref": "alters/exercise-introduction", "kernel_id": "8288019"}, {"ref": "alters/help-me", "kernel_id": "8241182"}, {"ref": "pelinuzun/kaggle-course-housing-prices-with-random-forest", "kernel_id": "8229780"}, {"ref": "gunn97/exercise-machine-learning-competitions", "kernel_id": "8028166"}, {"ref": "ashank19/boston-housing", "kernel_id": "8150983"}, {"ref": "sahabudin9/exercise-your-first-machine-learning-model-4b0aa3", "kernel_id": "8100926"}, {"ref": "sahabudin9/exercise-random-forests", "kernel_id": "8104860"}, {"ref": "sahabudin9/exercise-machine-learning-competitions", "kernel_id": "8105259"}, {"ref": "sarvsalvi/exercise-machine-learning-competitions", "kernel_id": "8169124"}, {"ref": "jonnyli/exercise-pipelines", "kernel_id": "8676871"}, {"ref": "jchowsun/iowa-housing-price", "kernel_id": "8053695"}, {"ref": "abdelatifsaiah/exercise-introduction", "kernel_id": "8281525"}, {"ref": "singhsperspective/exercise-machine-learning-competitions", "kernel_id": "8071364"}, {"ref": "zowlex/housing-improv", "kernel_id": "8164639"}, {"ref": "arifastics07/house-price-sale-prediction", "kernel_id": "8168691"}, {"ref": "aradcliffe/exercise-categorical-variables", "kernel_id": "8801164"}, {"ref": "mani96nitt/exercise-missing-values", "kernel_id": "8707281"}, {"ref": "ilyaasp/exercise-machine-learning-competitions", "kernel_id": "8947198"}, {"ref": "braulioromero/exercise-cross-validation", "kernel_id": "8695628"}, {"ref": "sahith8055/exercise-missing-values", "kernel_id": "8160734"}, {"ref": "sahith8055/exercise-machine-learning-competitions", "kernel_id": "8160136"}, {"ref": "sahith8055/exercise-introduction", "kernel_id": "8160356"}, {"ref": "sahith8055/exercise-categorical-variables", "kernel_id": "8161531"}, {"ref": "sahith8055/exercise-cross-validation", "kernel_id": "8167837"}, {"ref": "sahith8055/exercise-pipelines", "kernel_id": "8167536"}, {"ref": "sahith8055/exercise-xgboost", "kernel_id": "8168960"}, {"ref": "nszczepanek/exercise-missing-values", "kernel_id": "8381189"}, {"ref": "nszczepanek/exercise-introduction", "kernel_id": "8380085"}, {"ref": "fishslipperz/exercise-machine-learning-competitions", "kernel_id": "8579500"}, {"ref": "fishslipperz/exercise-introduction", "kernel_id": "8582519"}, {"ref": "smagh777/exercise-machine-learning-competitions", "kernel_id": "8242607"}, {"ref": "smagh777/exercise-random-forests", "kernel_id": "8242443"}, {"ref": "smagh777/exercise-underfitting-and-overfitting", "kernel_id": "8239586"}, {"ref": "dhruvalp/exercise-categorical-variables", "kernel_id": "8779142"}, {"ref": "dhruvalp/exercise-cross-validation", "kernel_id": "8797752"}, {"ref": "dhruvalp/exercise-machine-learning-competitions", "kernel_id": "8420541"}, {"ref": "emhaddad/machine-learning-competitions", "kernel_id": "8144991"}, {"ref": "demongodyy/exercise-missing-values", "kernel_id": "8892945"}, {"ref": "sandeeps808/exercise-your-first-machine-learning-model", "kernel_id": "8816957"}, {"ref": "rushabh7cr/exercise-machine-learning-competitions", "kernel_id": "8097056"}, {"ref": "berkayalan/exercise-introduction", "kernel_id": "8321280"}, {"ref": "berkayalan/categorical-variables-encoding", "kernel_id": "8361460"}, {"ref": "berkayalan/exercise-missing-values", "kernel_id": "8356142"}, {"ref": "berkayalan/xgboost-and-model-tuning", "kernel_id": "8413850"}, {"ref": "berkayalan/cross-validation-n-fold", "kernel_id": "8413380"}, {"ref": "berkayalan/pipelines-in-data-pre-processing", "kernel_id": "8410309"}, {"ref": "berkayalan/exercise-underfitting-and-overfitting", "kernel_id": "8056824"}, {"ref": "raviyadav2398/treinamento-missing-values", "kernel_id": "8989297"}, {"ref": "mizanurr/housing-prices-how-to-be-top-1-on-the-leaderboard", "kernel_id": "8530040"}, {"ref": "a100186/exercise-categorical-variables", "kernel_id": "8025624"}, {"ref": "malcolm95/kernel71c46c3ac7", "kernel_id": "8323065"}, {"ref": "manibhattarai/exercise-categorical-variables", "kernel_id": "8563199"}, {"ref": "menelaoskotoglou/exercise-your-first-machine-learning-model", "kernel_id": "8617919"}, {"ref": "nishikattt/exercise-machine-learning-competitions", "kernel_id": "8255066"}, {"ref": "bablukd/exercise-pipelines", "kernel_id": "8454612"}, {"ref": "aigamer/exercise-pipelines", "kernel_id": "8666866"}, {"ref": "choijh9404/day-7-housing-price", "kernel_id": "8543934"}, {"ref": "ashar7777/exercise-machine-learning-competitions", "kernel_id": "8398603"}, {"ref": "omphile/exercise-random-forests", "kernel_id": "8959411"}, {"ref": "omphile/exercise-model-validation", "kernel_id": "8958184"}, {"ref": "omphile/exercise-underfitting-and-overfitting", "kernel_id": "8958482"}, {"ref": "omphile/exercise-your-first-machine-learning-model", "kernel_id": "8957744"}, {"ref": "masinga/exercise-your-first-machine-learning-model-f309d9", "kernel_id": "8873599"}, {"ref": "saurabh788/handle-categorical-variables-with-python", "kernel_id": "8795904"}, {"ref": "aleksandrovich/smart-hyperparameter-tuning-with-optuna", "kernel_id": "8117830"}, {"ref": "fedeschmidt/exercise-missing-values", "kernel_id": "8461579"}, {"ref": "mrmorj/blend-skills-top-1-house-price", "kernel_id": "8638598"}, {"ref": "dahuar/exercise-pipelines", "kernel_id": "8042301"}, {"ref": "kaggleaar/sample-basic-machine-learning-model", "kernel_id": "8779614"}, {"ref": "kaggleaar/exercise-machine-learning-competitions", "kernel_id": "8796094"}, {"ref": "stabosastephanie/exercise-categorical-variables", "kernel_id": "8968755"}, {"ref": "lucascamargosodre/exercise-categorical-variables", "kernel_id": "8968772"}, {"ref": "christiancardoso/exercise-categorical-variables", "kernel_id": "8968766"}, {"ref": "bitnorth/exercise-machine-learning-competitions", "kernel_id": "8685663"}, {"ref": "victorpr93/house-prices-beginner", "kernel_id": "8066965"}, {"ref": "soobinckim/exercise-introduction", "kernel_id": "8517654"}, {"ref": "smasahudu97/exercise-missing-values", "kernel_id": "8899349"}, {"ref": "nozomuk/machine-learning-model", "kernel_id": "8003347"}, {"ref": "amolambkar/exercise-machine-learning-competitions", "kernel_id": "8705024"}, {"ref": "eliwh68/exercise-machine-learning-competitions", "kernel_id": "8123669"}, {"ref": "rahulvats20/exercise-categorical-variables", "kernel_id": "8420382"}, {"ref": "drsourcecode/exercise-pipelines", "kernel_id": "8309841"}, {"ref": "aut7767/stack-blend-lrs-xgb-lgb-house-prices", "kernel_id": "8073402"}, {"ref": "aksha17/exercise-introduction", "kernel_id": "8047402"}, {"ref": "kianwee/ml-house-data-2nd-submission", "kernel_id": "8507462"}, {"ref": "claireres/exercise-introduction", "kernel_id": "8566192"}, {"ref": "carcambor77/exercise-xgboost", "kernel_id": "8958548"}, {"ref": "carcambor77/exercise-data-leakage", "kernel_id": "8973726"}, {"ref": "adegladius/exercise-missing-values", "kernel_id": "8053641"}, {"ref": "adegladius/house-price-competition-how-i-archive-top-3", "kernel_id": "8053663"}, {"ref": "tanjackfong88/exercise-cross-validation", "kernel_id": "8306561"}, {"ref": "tanjackfong88/exercise-xgboost", "kernel_id": "8307601"}, {"ref": "tanjackfong88/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "8359391"}, {"ref": "tanjackfong88/exercise-data-leakage", "kernel_id": "8368587"}, {"ref": "tanjackfong88/exercise-missing-values", "kernel_id": "8102903"}, {"ref": "tanjackfong88/exercise-introduction", "kernel_id": "8088053"}, {"ref": "tanjackfong88/exercise-pipelines", "kernel_id": "8144515"}, {"ref": "tanjackfong88/exercise-categorical-variables", "kernel_id": "8119941"}, {"ref": "tanjackfong88/housing-prices-competition-tan-jack-fong", "kernel_id": "8528957"}, {"ref": "anshu1595/house-price-prediction-eda-and-model-blending", "kernel_id": "8979648"}, {"ref": "juliankalis/exercise-machine-learning-competitions", "kernel_id": "8410611"}, {"ref": "idolaspecus/dm-adv", "kernel_id": "8869941"}, {"ref": "zaedulislam/exercise-model-validation", "kernel_id": "8637771"}, {"ref": "zaedulislam/exercise-underfitting-and-overfitting", "kernel_id": "8646046"}, {"ref": "zaedulislam/exercise-machine-learning-competitions", "kernel_id": "8646444"}, {"ref": "zaedulislam/exercise-random-forests", "kernel_id": "8646288"}, {"ref": "zaedulislam/exercise-your-first-machine-learning-model", "kernel_id": "8515491"}, {"ref": "huytran9/exercise-your-first-machine-learning-model", "kernel_id": "8658305"}, {"ref": "huytran9/exercise-model-validation", "kernel_id": "8659216"}, {"ref": "huytran9/exercise-random-forests", "kernel_id": "8659637"}, {"ref": "huytran9/exercise-underfitting-and-overfitting", "kernel_id": "8659454"}, {"ref": "davidpirtskhalava/gridsearch-xgboost", "kernel_id": "8935938"}, {"ref": "anilchamoli/exercise-machine-learning-competitions", "kernel_id": "8822132"}, {"ref": "meetmerchant/exercise-machine-learning-competitions", "kernel_id": "8074438"}, {"ref": "rupsikaushik/exercise-random-forests", "kernel_id": "8155747"}, {"ref": "rupsikaushik/exercise-model-validation", "kernel_id": "8154675"}, {"ref": "bryanteh/modelling-linear-knn", "kernel_id": "8888440"}, {"ref": "atasoluki/exercise-introduction", "kernel_id": "8742642"}, {"ref": "aliboholaiqa/exercise-introduction", "kernel_id": "8246291"}, {"ref": "volodymyrholomb/exercise-machine-learning-competitions", "kernel_id": "8562397"}, {"ref": "jeridiabderahim/exercise-introduction", "kernel_id": "8545847"}, {"ref": "amangiri/exercise-model-validation", "kernel_id": "8607305"}, {"ref": "danielcastagna/exercise-categorical-variables", "kernel_id": "8061898"}, {"ref": "danielcastagna/exercise-introduction", "kernel_id": "8045730"}, {"ref": "sandeepsainiji/exercise-introduction", "kernel_id": "8349957"}, {"ref": "harshavardhangoud/exercise-machine-learning-competitions", "kernel_id": "8620199"}, {"ref": "prasannavijayakumar/exercise-machine-learning-competitions", "kernel_id": "8935962"}, {"ref": "creativeraman/exercise-model-validation", "kernel_id": "8618133"}, {"ref": "vusalashikhaliyeva/exercise-your-first-machine-learning-model", "kernel_id": "8251284"}, {"ref": "vusalashikhaliyeva/exercise-model-validation", "kernel_id": "8252830"}, {"ref": "vusalashikhaliyeva/exercise-underfitting-and-overfitting", "kernel_id": "8253187"}, {"ref": "khushboon/exercise-5-underfitting-and-overfitting", "kernel_id": "8040056"}, {"ref": "khushboon/exercise-6-random-forests", "kernel_id": "8040259"}, {"ref": "khushboon/exercise-machine-learning-competitions", "kernel_id": "8040304"}, {"ref": "khushboon/exercise-3-model-validation", "kernel_id": "8027797"}, {"ref": "khushboon/exercise-2-machine-learning-model", "kernel_id": "8024444"}, {"ref": "khushboon/intermediate-machine-learning", "kernel_id": "8483559"}, {"ref": "khushboon/exercise-missing-values", "kernel_id": "8483773"}, {"ref": "khushboon/exercise-categorical-variables", "kernel_id": "8493285"}, {"ref": "khushboon/exercise-pipelines", "kernel_id": "8493954"}, {"ref": "giovannifreitas/exercise-your-first-machine-learning-model", "kernel_id": "8521219"}, {"ref": "tylertsang/housing-price-competition-intro-code", "kernel_id": "8565452"}, {"ref": "prajwalsamarth/housing-prices-prediction-solution", "kernel_id": "8948099"}, {"ref": "raphalvanroermund/house-price-competition-feature-engineering", "kernel_id": "8629996"}, {"ref": "gustavocarmoh/top-4-house-price-eda-xgboost-gridsearchcv", "kernel_id": "8009999"}, {"ref": "eunhochoi/housepricing-eda-modeling-tree-model-version", "kernel_id": "8597208"}, {"ref": "arjun2000ashok/main-basic-ml-pipeline-first-kaggle-submission", "kernel_id": "8167955"}, {"ref": "kaushal3663/exercise-model-validation", "kernel_id": "8096378"}, {"ref": "kaushal3663/exercise-your-first-machine-learning-model-1ca784", "kernel_id": "8096091"}, {"ref": "kaushal3663/exercise-missing-values", "kernel_id": "8444133"}, {"ref": "prashanthpatle/exercise-introduction", "kernel_id": "8590110"}, {"ref": "prashanthpatle/exercise-machine-learning-competitions", "kernel_id": "8131713"}, {"ref": "prashanthpatle/exercise-random-forests", "kernel_id": "8131528"}, {"ref": "mosius/exercise-cross-validation", "kernel_id": "8610524"}, {"ref": "jainsudhir/exercise-categorical-variables", "kernel_id": "8178667"}, {"ref": "jainsudhir/exercise-model-validation", "kernel_id": "8119922"}, {"ref": "jusukbang/exercise-pipelines", "kernel_id": "8720445"}, {"ref": "oskarfirlej/exercise-your-first-machine-learning-model", "kernel_id": "8688278"}, {"ref": "oskarfirlej/exercise-model-validation", "kernel_id": "8688500"}, {"ref": "oskarfirlej/exercise-underfitting-and-overfitting", "kernel_id": "8689032"}, {"ref": "oskarfirlej/exercise-random-forests", "kernel_id": "8689378"}, {"ref": "oskarfirlej/exercise-xgboost", "kernel_id": "8703516"}, {"ref": "oskarfirlej/exercise-pipelines", "kernel_id": "8702254"}, {"ref": "oskarfirlej/exercise-cross-validation", "kernel_id": "8702809"}, {"ref": "oskarfirlej/exercise-categorical-variables", "kernel_id": "8700678"}, {"ref": "oskarfirlej/exercise-missing-values", "kernel_id": "8699623"}, {"ref": "diggee/house-price-prediction", "kernel_id": "8360410"}, {"ref": "ankitanurag7/exercise-xgboost", "kernel_id": "8094136"}, {"ref": "prithvichakravarthy/exercise-machine-learning-competitions", "kernel_id": "8907197"}, {"ref": "muddanalalithkumar/exercise-machine-learning-competitions", "kernel_id": "8838660"}, {"ref": "muddanalalithkumar/exercise-introduction", "kernel_id": "8843298"}, {"ref": "yuriikochurovskyi/the-easiest-way-to-jump-from-21217-to-15941", "kernel_id": "8879911"}, {"ref": "asmaaziry/exercise-machine-learning-competitions", "kernel_id": "8759135"}, {"ref": "smithtom/exercise-machine-learning-competitions", "kernel_id": "8110852"}, {"ref": "muhammedhamzamalik/exercise-pipelines", "kernel_id": "8884350"}, {"ref": "dmitrijstrizna/xgboost-vs-keras-nn-vs-lightbgm", "kernel_id": "8473403"}, {"ref": "kerabatsos/ml-xgboost", "kernel_id": "8502844"}, {"ref": "aliarabshahi/exercise-categorical-variables", "kernel_id": "8868512"}, {"ref": "fernandocampo/exercise-machine-learning-competitions", "kernel_id": "8064745"}, {"ref": "gamishilbhaakilan/exercise-machine-learning-competitions", "kernel_id": "8452800"}, {"ref": "siyuanlim/exercise-machine-learning-competitions", "kernel_id": "8296034"}, {"ref": "hariteja487/exercise-your-first-machine-learning-model", "kernel_id": "8521252"}, {"ref": "jingnanyang/exercise-machine-learning-competitions", "kernel_id": "8014826"}, {"ref": "jingnanyang/housing-price-prediction-using-randomforestregress", "kernel_id": "8058222"}, {"ref": "jingnanyang/exercise-introduction", "kernel_id": "8077171"}, {"ref": "jingnanyang/exercise-missing-values", "kernel_id": "8077427"}, {"ref": "jingnanyang/exercise-categorical-variables", "kernel_id": "8090891"}, {"ref": "jingnanyang/exercise-pipelines", "kernel_id": "8108850"}, {"ref": "jingnanyang/exercise-xgboost", "kernel_id": "8135507"}, {"ref": "vivekkhillar/exercise-machine-learning-competitions", "kernel_id": "8390906"}, {"ref": "bharathms/exercise-pipelines", "kernel_id": "8307285"}, {"ref": "bharathms/exercise-categorical-variables", "kernel_id": "8297050"}, {"ref": "bharathms/exercise-missing-values", "kernel_id": "8294146"}, {"ref": "bharathms/exercise-machine-learning-competitions", "kernel_id": "8269070"}, {"ref": "bharathms/exercise-xgboost", "kernel_id": "8845269"}, {"ref": "fasterthanai/kernel-house", "kernel_id": "8068341"}, {"ref": "neilcrosswaite/exercise-machine-learning-competitions", "kernel_id": "8381565"}, {"ref": "harshitpratapsingh/exercise-your-first-machine-learning-model", "kernel_id": "8186290"}, {"ref": "khemrajgupta/exercise-categorical-variables", "kernel_id": "8857156"}, {"ref": "vombatn/exercise-your-first-machine-learning-model", "kernel_id": "8000389"}, {"ref": "michaellouieloria/exercise-underfitting-and-overfitting", "kernel_id": "8000048"}, {"ref": "michaellouieloria/exercise-machine-learning-competitions", "kernel_id": "8000299"}, {"ref": "michaellouieloria/exercise-random-forests", "kernel_id": "8000236"}, {"ref": "michaellouieloria/exercise-xgboost", "kernel_id": "8054179"}, {"ref": "michaellouieloria/exercise-data-leakage", "kernel_id": "8054326"}, {"ref": "michaellouieloria/exercise-cross-validation", "kernel_id": "8051848"}, {"ref": "michaellouieloria/exercise-pipelines", "kernel_id": "8049675"}, {"ref": "michaellouieloria/exercise-categorical-variables", "kernel_id": "8048932"}, {"ref": "michaellouieloria/exercise-introduction", "kernel_id": "8033692"}, {"ref": "michaellouieloria/exercise-missing-values", "kernel_id": "8034487"}, {"ref": "sampathpuvvada/kernel1610335284", "kernel_id": "8095416"}, {"ref": "parinitachakraborty/exercise-random-forests", "kernel_id": "8099695"}, {"ref": "parinitachakraborty/exercise-underfitting-and-overfitting", "kernel_id": "8099593"}, {"ref": "parinitachakraborty/exercise-model-validation", "kernel_id": "8099454"}, {"ref": "hmdprs/exercise-categorical-variables", "kernel_id": "8355389"}, {"ref": "hmdprs/exercise-missing-values", "kernel_id": "8338390"}, {"ref": "hmdprs/exercise-introduction", "kernel_id": "8334047"}, {"ref": "hmdprs/exercise-pipelines", "kernel_id": "8390531"}, {"ref": "hmdprs/exercise-cross-validation", "kernel_id": "8403070"}, {"ref": "hmdprs/exercise-xgboost", "kernel_id": "8408237"}, {"ref": "hmdprs/exercise-data-leakage", "kernel_id": "8421271"}, {"ref": "hmdprs/exercise-machine-learning-competitions", "kernel_id": "8320747"}, {"ref": "hmdprs/exercise-random-forests", "kernel_id": "8310120"}, {"ref": "hmdprs/exercise-underfitting-and-overfitting", "kernel_id": "8297691"}, {"ref": "hmdprs/exercise-your-first-machine-learning-model", "kernel_id": "8235499"}, {"ref": "hmdprs/exercise-model-validation", "kernel_id": "8263105"}, {"ref": "rebl17/exercise-pipelines", "kernel_id": "8075909"}, {"ref": "soniamai/exercise-missing-values", "kernel_id": "8073868"}, {"ref": "mahadihasantarunno/home-prices", "kernel_id": "8106207"}, {"ref": "msorondo/exercise-model-validation", "kernel_id": "8983337"}, {"ref": "antilet/exercise-missing-values", "kernel_id": "8249582"}, {"ref": "pedroguimaraesf/exercise-machine-learning-competitions", "kernel_id": "8381283"}, {"ref": "sid2412/introductory-approach-to-machine-learning", "kernel_id": "8327346"}, {"ref": "weiluntong/exercise-your-first-machine-learning-model", "kernel_id": "8336328"}, {"ref": "weiluntong/exercise-model-validation", "kernel_id": "8337634"}, {"ref": "weiluntong/exercise-random-forests", "kernel_id": "8353983"}, {"ref": "weiluntong/exercise-underfitting-and-overfitting", "kernel_id": "8352973"}, {"ref": "weiluntong/exercise-machine-learning-competitions", "kernel_id": "8447381"}, {"ref": "rakeshchokan19/exercise-pipelines", "kernel_id": "8539959"}, {"ref": "pavanbaradi/exercise-machine-learning-competitions", "kernel_id": "8382518"}, {"ref": "meekorusdi/exercise-machine-learning-competitions", "kernel_id": "8481677"}, {"ref": "laurojacques/exercise-missing-values", "kernel_id": "8240997"}, {"ref": "laurojacques/exercise-machine-learning-competitions", "kernel_id": "8220974"}, {"ref": "laurojacques/pipeline-and-xgboost", "kernel_id": "8388203"}, {"ref": "anjalishaw/exercise-categorical-variables", "kernel_id": "8316667"}, {"ref": "anjalishaw/exercise-your-first-machine-learning-model-610ef1", "kernel_id": "8297153"}, {"ref": "anjalishaw/exercise-underfitting-and-overfitting", "kernel_id": "8303298"}, {"ref": "anjalishaw/exercise-model-validation", "kernel_id": "8303074"}, {"ref": "anjalishaw/exercise-random-forests", "kernel_id": "8303559"}, {"ref": "anjalishaw/exercise-pipelines", "kernel_id": "8340132"}, {"ref": "anjalishaw/exercise-xgboost", "kernel_id": "8355879"}, {"ref": "ariazza/exercise-introduction", "kernel_id": "8666771"}, {"ref": "ariazza/exercise-machine-learning-competitions-ariazza", "kernel_id": "8364885"}, {"ref": "ankitdv98/exercise-pipelines", "kernel_id": "8764742"}, {"ref": "akshaydureja/exercise-machine-learning-competitions", "kernel_id": "8950067"}, {"ref": "malavikau/exercise-machine-learning-competitions", "kernel_id": "8873398"}, {"ref": "kapilgautamin/exercise-model-validation", "kernel_id": "8273568"}, {"ref": "kapilgautamin/exercise-your-first-machine-learning-model", "kernel_id": "8261476"}, {"ref": "siyuchen2020/housing-prices", "kernel_id": "8276368"}, {"ref": "mochfadilr/house-pricing-dataset", "kernel_id": "8368166"}, {"ref": "hensonhusada/exercise-machine-learning-competitions", "kernel_id": "8314276"}, {"ref": "prachi1179/exercise-machine-learning-competitions", "kernel_id": "8787612"}, {"ref": "somasreemajumder/exercise-introduction", "kernel_id": "8315148"}, {"ref": "munjalmukul/top-9-in-housing-prices-competition-with-xgboost", "kernel_id": "8813442"}, {"ref": "dimvasdim/exercise-introduction", "kernel_id": "8858880"}, {"ref": "yussefayman/exercise-introduction", "kernel_id": "8465821"}, {"ref": "jyotijhaji/exercise-your-first-machine-learning-model", "kernel_id": "8627155"}, {"ref": "jprp17/treinamento-missing-values", "kernel_id": "8744089"}, {"ref": "jprp17/notebook-categorical-test", "kernel_id": "8784374"}, {"ref": "felixhaba/realstateintelligencev2", "kernel_id": "8552356"}, {"ref": "rahjai/randomforesthousepredict", "kernel_id": "8462442"}, {"ref": "yiyuqian/exercise-pipelines", "kernel_id": "8592567"}, {"ref": "shinbg/housing-prices-competition-decision-tree", "kernel_id": "8889604"}, {"ref": "sarahlares/exercise-machine-learning-competitions", "kernel_id": "8449421"}, {"ref": "prathyumramesh/exercise-categorical-variables", "kernel_id": "8768995"}, {"ref": "fathimashananoory/exercise-machine-learning-competitions", "kernel_id": "8667021"}, {"ref": "fathimashananoory/exercise-random-forests", "kernel_id": "8698186"}, {"ref": "essentialguy/exercise-introduction", "kernel_id": "8895251"}, {"ref": "essentialguy/exercise-model-validation", "kernel_id": "8820964"}, {"ref": "essentialguy/exercise-underfitting-and-overfitting", "kernel_id": "8821922"}, {"ref": "essentialguy/exercise-random-forests", "kernel_id": "8822315"}, {"ref": "essentialguy/exercise-machine-learning-competitions", "kernel_id": "8822467"}, {"ref": "essentialguy/exercise-your-first-machine-learning-model", "kernel_id": "8816610"}, {"ref": "stutigoel/exercise-machine-learning-competitions", "kernel_id": "8572667"}, {"ref": "aaronoliveira/exercise-your-first-machine-learning-model", "kernel_id": "8506235"}, {"ref": "uldisvalainis/simple-beginner-solution", "kernel_id": "8801664"}, {"ref": "minhkhngl/exercise-data-leakage", "kernel_id": "8633730"}, {"ref": "ismailcanga/ex-cat-var-with-imputer-on-test-data", "kernel_id": "8807756"}, {"ref": "burhangarari/exercise-machine-learning-competitions", "kernel_id": "8703044"}, {"ref": "irinashpakovskaya/exercise-introduction", "kernel_id": "8666431"}, {"ref": "irinashpakovskaya/exercise-missing-values", "kernel_id": "8679661"}, {"ref": "neeleshkumarvij/exercise-pipelines-201c23", "kernel_id": "8755599"}, {"ref": "malihehfotouhi/exercise-machine-learning-competitions", "kernel_id": "8888647"}, {"ref": "johnmakgakga/house-price", "kernel_id": "8676468"}, {"ref": "duttasd28/exercise-missing-values", "kernel_id": "8938864"}, {"ref": "gustavobraga/exercise-your-first-machine-learning-model", "kernel_id": "8695312"}, {"ref": "architect88/exercise-categorical-variables", "kernel_id": "8716213"}, {"ref": "julienmichel/housing-prices", "kernel_id": "8978081"}, {"ref": "averageonion/exercise-your-first-machine-learning-model", "kernel_id": "8730170"}, {"ref": "averageonion/exercise-underfitting-and-overfitting", "kernel_id": "8730964"}, {"ref": "haricdm/exercise-missing-values", "kernel_id": "8787684"}, {"ref": "haricdm/exercise-your-first-machine-learning-model", "kernel_id": "8778898"}, {"ref": "haricdm/exercise-introduction", "kernel_id": "8783173"}, {"ref": "udaykirancool/exercise-machine-learning-competitions", "kernel_id": "8786571"}, {"ref": "muhamadfikrisunandar/exercise-pipelines", "kernel_id": "8970579"}, {"ref": "santiagomadrid/exercise-machine-learning-competitions", "kernel_id": "8825018"}, {"ref": "gilgamesh94/exercise-missing-values", "kernel_id": "8900576"}, {"ref": "gilgamesh94/exercise-machine-learning-competitions", "kernel_id": "8853233"}, {"ref": "rishabhab/exercise-your-first-machine-learning-model", "kernel_id": "8924167"}, {"ref": "rishabhab/exercise-random-forests", "kernel_id": "8935553"}, {"ref": "rishabhab/exercise-machine-learning-competitions", "kernel_id": "8935725"}, {"ref": "rishabhab/exercise-underfitting-and-overfitting", "kernel_id": "8934529"}, {"ref": "rishabhab/exercise-model-validation", "kernel_id": "8932866"}, {"ref": "justinflanagan/exercise-missing-values", "kernel_id": "8879936"}, {"ref": "justinflanagan/exercise-introduction", "kernel_id": "8879635"}, {"ref": "justinflanagan/exercise-pipelines", "kernel_id": "8882945"}, {"ref": "justinflanagan/exercise-cross-validation", "kernel_id": "8883205"}, {"ref": "justinflanagan/exercise-categorical-variables", "kernel_id": "8882231"}, {"ref": "justinflanagan/exercise-data-leakage", "kernel_id": "8884723"}, {"ref": "justinflanagan/exercise-random-forests", "kernel_id": "8879274"}, {"ref": "justinflanagan/exercise-machine-learning-competitions", "kernel_id": "8879345"}, {"ref": "justinflanagan/exercise-underfitting-and-overfitting", "kernel_id": "8879108"}, {"ref": "justinflanagan/exercise-your-first-machine-learning-model", "kernel_id": "8878619"}, {"ref": "justinflanagan/exercise-model-validation", "kernel_id": "8878839"}, {"ref": "pavelpavells/exercise-machine-learning-competitions", "kernel_id": "8915884"}, {"ref": "daeyeopkim/note-book-for-housing-prices-competition", "kernel_id": "8834656"}, {"ref": "krzysztofwitkowski99/exercise-machine-learning-competitions", "kernel_id": "8824928"}, {"ref": "alejandromancilla/exercise-machine-learning-competitions", "kernel_id": "8899687"}, {"ref": "infiniteaditya/exercise-machine-learning-competitions", "kernel_id": "8964105"}, {"ref": "mohammaddilshad/exercise-your-first-machine-learning-model-dtr", "kernel_id": "8961793"}, {"ref": "mohammaddilshad/exercise-model-validation", "kernel_id": "8962649"}, {"ref": "mohammaddilshad/exercise-underfitting-and-overfitting-dtr", "kernel_id": "8972747"}, {"ref": "mohammaddilshad/exercise-random-forests", "kernel_id": "8973058"}, {"ref": "mohammaddilshad/exercise-machine-learning-competitions", "kernel_id": "8973173"}, {"ref": "drodrigosanchez/exercise-your-first-machine-learning-model", "kernel_id": "8911187"}, {"ref": "drodrigosanchez/exercise-model-validation", "kernel_id": "8929354"}, {"ref": "drodrigosanchez/exercise-underfitting-and-overfitting", "kernel_id": "8929804"}, {"ref": "drodrigosanchez/exercise-random-forests", "kernel_id": "8930972"}, {"ref": "drodrigosanchez/exercise-machine-learning-competitions", "kernel_id": "8931032"}, {"ref": "akiroduey/exercise-xgboost", "kernel_id": "8953459"}, {"ref": "akiroduey/exercise-pipelines", "kernel_id": "8952095"}, {"ref": "morijoon/exercise-machine-learning-competitions", "kernel_id": "8908616"}, {"ref": "ranieresoares/exercise-categorical-variables-raniere-soares", "kernel_id": "8968778"}, {"ref": "ramizairineu/exercise-categorical-variables", "kernel_id": "8968763"}, {"ref": "mohamedabdelwahabali/exercise-model-validation", "kernel_id": "8990007"}, {"ref": "regivm/ensemble-of-models-estimate-optimal-weights", "kernel_id": "9081882"}, {"ref": "regivm/ensemble-of-8-models-estimate-optimal-weights", "kernel_id": "9109060"}, {"ref": "kuberiitb/ultimate-house-pricing-guide", "kernel_id": "9392315"}, {"ref": "rscottreis/housing-prices-notebook", "kernel_id": "9598662"}, {"ref": "elvison/exercise-your-first-machine-learning-model", "kernel_id": "9277409"}, {"ref": "tyadav/exercise-pipelines", "kernel_id": "9511200"}, {"ref": "tyadav/exercise-cross-validation", "kernel_id": "9511469"}, {"ref": "tyadav/exercise-xgboost", "kernel_id": "9511848"}, {"ref": "tyadav/exercise-missing-values", "kernel_id": "9431625"}, {"ref": "tyadav/exercise-categorical-variables", "kernel_id": "9241206"}, {"ref": "abisheksrivastav/exercise-pipelines", "kernel_id": "9240822"}, {"ref": "abisheksrivastav/exercise-introduction", "kernel_id": "9168530"}, {"ref": "abisheksrivastav/exercise-missing-values", "kernel_id": "9185145"}, {"ref": "abisheksrivastav/exercise-xgboost", "kernel_id": "9258583"}, {"ref": "connaus/exercise-machine-learning-competitions", "kernel_id": "9452376"}, {"ref": "nitishraj/exercise-xgboost", "kernel_id": "9390233"}, {"ref": "jonbonto/exercise-machine-learning-competitions", "kernel_id": "9618426"}, {"ref": "samlogan/exercise-missing-values", "kernel_id": "9301147"}, {"ref": "samlogan/exercise-pipelines", "kernel_id": "9387302"}, {"ref": "znark912/xgboost", "kernel_id": "9835447"}, {"ref": "microize/boston-house-price-prediction-sklearn", "kernel_id": "9877720"}, {"ref": "tosmin/house-price-prediction-beginner", "kernel_id": "9728477"}, {"ref": "sagar100rathod/exercise-machine-learning-competitions", "kernel_id": "9193753"}, {"ref": "utkarsh039/exercise-machine-learning-competitions", "kernel_id": "9702719"}, {"ref": "utkarsh039/exercise-missing-values", "kernel_id": "9724486"}, {"ref": "yepp2411/top-4-using-ridge-regression", "kernel_id": "9130400"}, {"ref": "calvinbroadus/xgboost-model", "kernel_id": "9425949"}, {"ref": "ayushranjan15/end-to-end-eda-pipelines-and-model-comparison", "kernel_id": "9499681"}, {"ref": "jaiminshah96/exercise-machine-learning-competitions", "kernel_id": "9976397"}, {"ref": "sumitmaan/housing-pricing-guide-and-data-exploration-v1", "kernel_id": "9504801"}, {"ref": "sumithraps/exercise-machine-learning-competitions", "kernel_id": "9785433"}, {"ref": "sumithraps/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "9969355"}, {"ref": "adarshbaronia/exercise-introduction", "kernel_id": "9859869"}, {"ref": "kuldeepdhadhwal/house-price-prediction-eda", "kernel_id": "9212750"}, {"ref": "rohitdeepu17/beginner-level-tutorial", "kernel_id": "9439390"}, {"ref": "simoneperazzoli/exercise-pipelines", "kernel_id": "9364906"}, {"ref": "simoneperazzoli/exercise-xgboost", "kernel_id": "9364947"}, {"ref": "williamu32/exercise-machine-learning-competitions", "kernel_id": "9484181"}, {"ref": "nabilmachinelearner/exercise-pipelines", "kernel_id": "9070635"}, {"ref": "nabilmachinelearner/exercise-random-forests", "kernel_id": "9052080"}, {"ref": "nabilmachinelearner/exercise-xgboost", "kernel_id": "9086550"}, {"ref": "daaadaaa/exercise-your-first-machine-learning-model", "kernel_id": "9105297"}, {"ref": "beamers/exercise-your-first-machine-learning-model-f1525c", "kernel_id": "9178679"}, {"ref": "rajapatel/exercise-introduction", "kernel_id": "9105062"}, {"ref": "deepak1011/exercise-pipelines", "kernel_id": "9541972"}, {"ref": "priyanshu7/exercise-random-forests", "kernel_id": "9456240"}, {"ref": "priyanshu7/exercise-underfitting-and-overfitting", "kernel_id": "9456035"}, {"ref": "priyanshu7/exercise-your-first-machine-learning-model", "kernel_id": "9455282"}, {"ref": "avinash1216/exercise-pipelines", "kernel_id": "9118926"}, {"ref": "harshitawasthi/imputation-handling-missing-values", "kernel_id": "9529726"}, {"ref": "akashtyagi08/top-4-using-pipeline-with-xgboost", "kernel_id": "9043702"}, {"ref": "rodrwan/exercise-machine-learning-competitions", "kernel_id": "9599359"}, {"ref": "yunpengn/exercise-underfitting-and-overfitting", "kernel_id": "9931631"}, {"ref": "yunpengn/exercise-missing-values", "kernel_id": "9934783"}, {"ref": "yunpengn/exercise-introduction", "kernel_id": "9934012"}, {"ref": "yunpengn/exercise-machine-learning-competitions", "kernel_id": "9932560"}, {"ref": "yunpengn/exercise-random-forests", "kernel_id": "9932483"}, {"ref": "yunpengn/exercise-model-validation", "kernel_id": "9924110"}, {"ref": "yunpengn/exercise-your-first-machine-learning-model", "kernel_id": "9922971"}, {"ref": "yunpengn/exercise-pipelines", "kernel_id": "9962976"}, {"ref": "yunpengn/exercise-categorical-variables", "kernel_id": "9954048"}, {"ref": "yunpengn/exercise-cross-validation", "kernel_id": "9964237"}, {"ref": "yunpengn/exercise-data-leakage", "kernel_id": "9968478"}, {"ref": "yunpengn/exercise-xgboost", "kernel_id": "9967240"}, {"ref": "lajari/sec2-eda-feature-engineering", "kernel_id": "9170169"}, {"ref": "lajari/sec1-tedious-data-cleaning", "kernel_id": "9062929"}, {"ref": "lajari/sec4-modelling-top3", "kernel_id": "9460265"}, {"ref": "lajari/sec3-eda-fe-categorical", "kernel_id": "9361222"}, {"ref": "lajari/sec5-modelling-ii-tree-regressor-top3", "kernel_id": "9588152"}, {"ref": "dasmanarshi/housing-price-problem-top-20", "kernel_id": "9737136"}, {"ref": "arpitjoshi333/kernel686166ee4c", "kernel_id": "9337660"}, {"ref": "elham639/exercise-model-validation", "kernel_id": "9610405"}, {"ref": "elham639/exercise-your-first-machine-learning-model", "kernel_id": "9605923"}, {"ref": "elham639/exercise-random-forests", "kernel_id": "9636747"}, {"ref": "elham639/exercise-underfitting-and-overfitting", "kernel_id": "9635819"}, {"ref": "catarinaurbano/exercise-machine-learning-competitions", "kernel_id": "9995551"}, {"ref": "vinayjaingarg28/data-preprocessing-visualization", "kernel_id": "9815421"}, {"ref": "kalanikoonara/exercise-xgboost", "kernel_id": "9972665"}, {"ref": "hadjerhamaidi/exercise-pipelines", "kernel_id": "9251875"}, {"ref": "hadjerhamaidi/exercise-categorical-variables", "kernel_id": "9231812"}, {"ref": "hadjerhamaidi/exercise-missing-values", "kernel_id": "9231180"}, {"ref": "hadjerhamaidi/exercise-cross-validation", "kernel_id": "9263856"}, {"ref": "hadjerhamaidi/exercise-xgboost", "kernel_id": "9264410"}, {"ref": "hadjerhamaidi/exercise-data-leakage", "kernel_id": "9265233"}, {"ref": "anaga007/exercise-machine-learning-competitions", "kernel_id": "9185236"}, {"ref": "mishraparijat3/exercise-your-first-machine-learning-model", "kernel_id": "9414571"}, {"ref": "mishraparijat3/exercise-random-forests", "kernel_id": "9634525"}, {"ref": "mishraparijat3/exercise-model-validation", "kernel_id": "9593756"}, {"ref": "angqx95/data-science-workflow-top-2-with-tuning", "kernel_id": "9338059"}, {"ref": "angqx95/nuts-bolts-of-boosting-algorithms", "kernel_id": "9993894"}, {"ref": "p13arnabc/housing-prices-data-preprocessing", "kernel_id": "9901946"}, {"ref": "pkaewphing/exercise-missing-values", "kernel_id": "9012271"}, {"ref": "pkaewphing/exercise-machine-learning-competitions", "kernel_id": "9010724"}, {"ref": "pkaewphing/exercise-random-forests", "kernel_id": "9004584"}, {"ref": "anshulindian/exercise-machine-learning-competitions", "kernel_id": "9880131"}, {"ref": "sahabudin9/exercise-categorical-variables", "kernel_id": "9641177"}, {"ref": "sahabudin9/exercise-pipelines", "kernel_id": "9661956"}, {"ref": "sahabudin9/exercise-introduction", "kernel_id": "9388430"}, {"ref": "sahabudin9/exercise-missing-values", "kernel_id": "9389188"}, {"ref": "amananandrai/housing-prices-prediction", "kernel_id": "9632224"}, {"ref": "techera/exercise-categorical-variables", "kernel_id": "9023266"}, {"ref": "jvuubknmn/house-price-prediction-20-05", "kernel_id": "9585616"}, {"ref": "iansebastiantan/housing-guide-data-science-workflow-top-2", "kernel_id": "9840632"}, {"ref": "mahikhedkar/exercise-model-validation", "kernel_id": "9609711"}, {"ref": "mahikhedkar/exercise-your-first-machine-learning-model", "kernel_id": "9590150"}, {"ref": "mahikhedkar/exercise-underfitting-and-overfitting", "kernel_id": "9648550"}, {"ref": "mahikhedkar/exercise-machine-learning-competitions", "kernel_id": "9687471"}, {"ref": "mahikhedkar/exercise-random-forests", "kernel_id": "9687144"}, {"ref": "restevesd/exercise-introduction", "kernel_id": "9827313"}, {"ref": "yonasg/exercise-xgboost", "kernel_id": "9938769"}, {"ref": "victorvianaom/exercise-your-first-machine-learning-model", "kernel_id": "9808602"}, {"ref": "victorvianaom/exercise-model-validation", "kernel_id": "9810769"}, {"ref": "victorvianaom/exercise-random-forests", "kernel_id": "9828097"}, {"ref": "victorvianaom/exercise-machine-learning-competitions", "kernel_id": "9828336"}, {"ref": "victorvianaom/exercise-underfitting-and-overfitting", "kernel_id": "9825397"}, {"ref": "victorvianaom/exercise-missing-values", "kernel_id": "9876560"}, {"ref": "victorvianaom/exercise-introduction", "kernel_id": "9856965"}, {"ref": "htamkiya24/xgb-house-price", "kernel_id": "9709969"}, {"ref": "nishantsushmakar/exercise-machine-learning-competitions", "kernel_id": "9025384"}, {"ref": "manishwad/exercise-categorical-variables", "kernel_id": "9611352"}, {"ref": "nobletp/housing-project-and-pipelines", "kernel_id": "9565162"}, {"ref": "pradyut23/housing-price-prediction", "kernel_id": "9844407"}, {"ref": "safder/exercise-your-first-machine-learning-model-8c1343", "kernel_id": "9337959"}, {"ref": "mlsami/exercise-missing-values", "kernel_id": "9492813"}, {"ref": "sfgrahman/exercise-underfitting-and-overfitting", "kernel_id": "9849698"}, {"ref": "gb00000/skearn-housing", "kernel_id": "9105870"}, {"ref": "ananyayankit18082000/exercise-introduction", "kernel_id": "9044473"}, {"ref": "moresushil/second-attempt", "kernel_id": "9245641"}, {"ref": "santosh8896/house-prices-1st-approach-to-data-science-process", "kernel_id": "9830820"}, {"ref": "vaishnavimateti/house-price-prediction", "kernel_id": "9239619"}, {"ref": "shashwat1001/exercise-your-first-machine-learning-model", "kernel_id": "9609474"}, {"ref": "sakshisaku3000/exercise-machine-learning-competitions", "kernel_id": "9524952"}, {"ref": "choijh9404/housing-price-v3", "kernel_id": "9220882"}, {"ref": "andremanente/exercise-categorical-variables", "kernel_id": "9217987"}, {"ref": "maxhemanth/exercise-model-validation", "kernel_id": "9259429"}, {"ref": "maxhemanth/exercise-your-first-machine-learning-model", "kernel_id": "9257366"}, {"ref": "maxhemanth/exercise-underfitting-and-overfitting", "kernel_id": "9270399"}, {"ref": "maxhemanth/exercise-random-forests", "kernel_id": "9274513"}, {"ref": "maxhemanth/exercise-machine-learning-competitions", "kernel_id": "9307183"}, {"ref": "jafarib/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "9088793"}, {"ref": "salmaneunus/random-forests", "kernel_id": "9696296"}, {"ref": "salmaneunus/house-pricing-competition-decision-tree-r-forest", "kernel_id": "9696297"}, {"ref": "salmaneunus/pipelines", "kernel_id": "9946961"}, {"ref": "emilyohq/exercise-random-forests", "kernel_id": "9282090"}, {"ref": "emilyohq/exercise-underfitting-and-overfitting", "kernel_id": "9281923"}, {"ref": "emilyohq/exercise-model-validation", "kernel_id": "9281791"}, {"ref": "emilyohq/exercise-machine-learning-competitions", "kernel_id": "9282198"}, {"ref": "emilyohq/exercise-your-first-machine-learning-model", "kernel_id": "9281636"}, {"ref": "rajithkalinda/house-pricing-guide", "kernel_id": "9387944"}, {"ref": "durgaprasadsambana/exercise-introduction", "kernel_id": "9161100"}, {"ref": "schizzika/exercise-machine-learning-competitions", "kernel_id": "9015017"}, {"ref": "schizzika/exercise-pipelines-e39c73", "kernel_id": "9019845"}, {"ref": "divyaph01/exercise-cross-validation", "kernel_id": "9691557"}, {"ref": "divyaph01/exercise-data-leakage", "kernel_id": "9692026"}, {"ref": "divyaph01/exercise-xgboost", "kernel_id": "9691772"}, {"ref": "divyaph01/exercise-categorical-variables", "kernel_id": "9683289"}, {"ref": "divyaph01/exercise-pipelines", "kernel_id": "9683674"}, {"ref": "divyaph01/exercise-your-first-machine-learning-model", "kernel_id": "9664399"}, {"ref": "divyaph01/exercise-model-validation", "kernel_id": "9665109"}, {"ref": "divyaph01/exercise-underfitting-and-overfitting", "kernel_id": "9665419"}, {"ref": "divyaph01/exercise-introduction", "kernel_id": "9673672"}, {"ref": "divyaph01/exercise-missing-values", "kernel_id": "9673789"}, {"ref": "divyaph01/exercise-machine-learning-competitions", "kernel_id": "9669469"}, {"ref": "divyaph01/exercise-random-forests", "kernel_id": "9669256"}, {"ref": "abhijitpai000/exercise-machine-learning-competitions", "kernel_id": "9583289"}, {"ref": "jmhuertasg/exercise-your-first-machine-learning-model-1d41c0", "kernel_id": "9667438"}, {"ref": "mishraarnav532/house-pricing-project", "kernel_id": "9220256"}, {"ref": "sayalikarnewar/exercise-machine-learning-competitions", "kernel_id": "9647194"}, {"ref": "emilyyin/exercise-categorical-variables", "kernel_id": "9479312"}, {"ref": "emilyyin/exercise-machine-learning-competitions", "kernel_id": "9421292"}, {"ref": "cnemri/eda-preprocessing-ml-pipelines-best-practices", "kernel_id": "9989311"}, {"ref": "anuj007a/exercise-categorical-variables", "kernel_id": "9672749"}, {"ref": "anuj007a/exercise-introduction", "kernel_id": "9674086"}, {"ref": "ggbowls/exercise-machine-learning-competitions", "kernel_id": "9813989"}, {"ref": "dwandia598/exercise-machine-learning-competitions", "kernel_id": "9838895"}, {"ref": "alpaca0984/pipeline-with-columntransformer-and-xgbregressor", "kernel_id": "9273521"}, {"ref": "weikenglee/first-kaggle-notebook-house-prices-competition", "kernel_id": "9208339"}, {"ref": "shyam21/housing-price-dataset", "kernel_id": "9652683"}, {"ref": "nihxrrmusic/exercise-machine-learning-competitions", "kernel_id": "9886909"}, {"ref": "nihxrrmusic/exercise-introduction", "kernel_id": "9931239"}, {"ref": "omarkhald/exercise-machine-learning-competitions", "kernel_id": "9428912"}, {"ref": "unthic/exercise-machine-learning-random-forest", "kernel_id": "9155109"}, {"ref": "ekng93/predict-house-sale-price-using-kf-lr", "kernel_id": "9999234"}, {"ref": "gp2001/exercise-machine-learning-competitions", "kernel_id": "9094124"}, {"ref": "danielmonsalvemunoz/exercise-machine-learning-competitions", "kernel_id": "9672461"}, {"ref": "manunellutla/exercise-underfitting-and-overfitting", "kernel_id": "9480164"}, {"ref": "felipegonzlez/exercise-machine-learning-competitions", "kernel_id": "9806311"}, {"ref": "jasnat/exercise-machine-learning-competitions", "kernel_id": "9319545"}, {"ref": "egymost85/exercise-machine-learning-competitions", "kernel_id": "9050278"}, {"ref": "babitajha/exercise-your-first-machine-learning-model", "kernel_id": "9675742"}, {"ref": "shreyavarghese/exercise-pipelines", "kernel_id": "9130288"}, {"ref": "mdmahmudferdous/housing-prices-competition-kaggle-learners-top-10", "kernel_id": "9362303"}, {"ref": "avarghese/exercise-pipelines", "kernel_id": "9114000"}, {"ref": "gauri1996/kagglecoursenotebook-machinelearningcompetitions", "kernel_id": "9776355"}, {"ref": "gauri1996/kagglecoursenotebook-underfittingandoverfitting", "kernel_id": "9775656"}, {"ref": "gauri1996/kagglecoursenotebook-model-validation", "kernel_id": "9775390"}, {"ref": "gauri1996/kagglecoursenotebook-yourfirstmachinelearningmodel", "kernel_id": "9774947"}, {"ref": "gauri1996/housepriceprediction-analysisandmodelling", "kernel_id": "9822543"}, {"ref": "gauri1996/kagglecoursenotebook-handlingmissingvalues", "kernel_id": "9823034"}, {"ref": "gauri1996/kagglecoursenotebook-handlingcategoricalvariables", "kernel_id": "9824035"}, {"ref": "samansiddibapa/decision-tree-model-for-housing-prices-prediction", "kernel_id": "9139793"}, {"ref": "durlavbose/exercise-categorical-variables", "kernel_id": "9083129"}, {"ref": "maple4/exercise-missing-values", "kernel_id": "9351437"}, {"ref": "maple4/exercise-pipelines", "kernel_id": "9373026"}, {"ref": "maple4/exercise-categorical-variables", "kernel_id": "9369974"}, {"ref": "maple4/exercise-xgboost", "kernel_id": "9406906"}, {"ref": "maple4/exercise-data-leakage", "kernel_id": "9413430"}, {"ref": "maple4/exercise-introduction", "kernel_id": "9324264"}, {"ref": "target3/housing-price", "kernel_id": "9965203"}, {"ref": "unicornx/exercise-your-first-machine-learning-model", "kernel_id": "9340548"}, {"ref": "ernestfedorowich/exercise-machine-learning-competitions", "kernel_id": "9272407"}, {"ref": "ayushvarshnay/exercise-pipelines", "kernel_id": "9419014"}, {"ref": "mayanku/exercise-model-validation", "kernel_id": "9668472"}, {"ref": "mayanku/exercise-your-first-machine-learning-model", "kernel_id": "9667478"}, {"ref": "raidivyansh/us-housing-221", "kernel_id": "9688875"}, {"ref": "shivaabhijith/exercise-machine-learning-competitions", "kernel_id": "9860689"}, {"ref": "olusegunmakinwa/exercise-xgboost", "kernel_id": "9482507"}, {"ref": "sakshi7699/exercise-introduction", "kernel_id": "9431837"}, {"ref": "brenogibson/exercise-machine-learning-competitions", "kernel_id": "9637449"}, {"ref": "rahulsharmarks/exercise-random-forests", "kernel_id": "9456924"}, {"ref": "rahulsharmarks/exercise-machine-learning-competitions", "kernel_id": "9457157"}, {"ref": "rahulsharmarks/exercise-missing-values", "kernel_id": "9467410"}, {"ref": "anuragsrivastava2410/exercise-your-first-machine-learning-model", "kernel_id": "9098364"}, {"ref": "guanhaopeng/exercise-machine-learning-competitions", "kernel_id": "9101052"}, {"ref": "sagargupta323/house-price-prediction-competition", "kernel_id": "9847730"}, {"ref": "mertyldrr/beginner-friendly-house-price-prediction", "kernel_id": "9454346"}, {"ref": "aksharrastogi/exercise-your-first-machine-learning-model", "kernel_id": "9648137"}, {"ref": "adakibet/exercise-pipelines-from-the-course", "kernel_id": "9190182"}, {"ref": "vijay0to100/exercise-your-first-machine-learning-model", "kernel_id": "9496049"}, {"ref": "vijay0to100/exercise-missing-values", "kernel_id": "9850042"}, {"ref": "sergeypesegov20/exercise-your-first-machine-learning-model", "kernel_id": "9542915"}, {"ref": "shaileshkumpawat/exercise-machine-learning-competitions", "kernel_id": "9477335"}, {"ref": "aehsasmathur/exercise-introduction", "kernel_id": "9339465"}, {"ref": "tausifsayyed/exercise-categorical-variables", "kernel_id": "9675099"}, {"ref": "kanhapanda/exercise-machine-learning-competitions", "kernel_id": "9377378"}, {"ref": "siyuchen2020/housing-price-with-xgboost", "kernel_id": "9022308"}, {"ref": "datafan07/top-1-approach-eda-new-models-and-stacking", "kernel_id": "9218330"}, {"ref": "nguncedasci/knn-steps", "kernel_id": "9327418"}, {"ref": "dannyling/exercise-missing-values", "kernel_id": "9470021"}, {"ref": "huthytrn/exercise-categorical-variables", "kernel_id": "9003050"}, {"ref": "davidmendes/exercise-your-first-machine-learning-model", "kernel_id": "9097477"}, {"ref": "davidmendes/exercise-random-forests", "kernel_id": "9097997"}, {"ref": "davidmendes/exercise-underfitting-and-overfitting", "kernel_id": "9097714"}, {"ref": "davidmendes/exercise-model-validation", "kernel_id": "9097598"}, {"ref": "davidmendes/exercise-categorical-variables", "kernel_id": "9131289"}, {"ref": "davidmendes/exercise-pipelines", "kernel_id": "9132589"}, {"ref": "davidmendes/exercise-introduction", "kernel_id": "9129507"}, {"ref": "davidmendes/exercise-cross-validation", "kernel_id": "9134773"}, {"ref": "davidmendes/exercise-xgboost", "kernel_id": "9134994"}, {"ref": "davidmendes/exercise-data-leakage", "kernel_id": "9136588"}, {"ref": "aasthamathur/exercise-machine-learning-competitions", "kernel_id": "9322030"}, {"ref": "pauldgrimm/exercise-introduction", "kernel_id": "9229676"}, {"ref": "devifa36/exercise-xgboost", "kernel_id": "9133016"}, {"ref": "devifa36/exercise-categorical-variables", "kernel_id": "9119675"}, {"ref": "devifa36/exercise-missing-values", "kernel_id": "9097638"}, {"ref": "devifa36/exercise-introduction", "kernel_id": "9084871"}, {"ref": "devifa36/exercise-machine-learning-competitions", "kernel_id": "9076186"}, {"ref": "digvijayyadav/exercise-machine-learning-competitions", "kernel_id": "9002540"}, {"ref": "digvijayyadav/exercise-xgboost", "kernel_id": "9129213"}, {"ref": "rishabhkt/exercise-missing-values", "kernel_id": "9930078"}, {"ref": "rishabhkt/exercise-underfitting-and-overfitting", "kernel_id": "9918577"}, {"ref": "rishabhkt/exercise-machine-learning-competitions", "kernel_id": "9918865"}, {"ref": "shinbg/home-price-prediction-ridge-catboost-stacking", "kernel_id": "9008879"}, {"ref": "justinalauk/exercise-machine-learning-competitions", "kernel_id": "9026661"}, {"ref": "nicolasvelascoperez/exercise-categorical-variables", "kernel_id": "9136304"}, {"ref": "shauryajain/exercise-machine-learning-competitions", "kernel_id": "9971738"}, {"ref": "pg1007/exercise-missing-values", "kernel_id": "9010843"}, {"ref": "pg1007/exercise-xgboost", "kernel_id": "9030446"}, {"ref": "pg1007/exercise-pipelines", "kernel_id": "9027323"}, {"ref": "pg1007/exercise-cross-validation", "kernel_id": "9028155"}, {"ref": "vidishtrivedi/house-pricing", "kernel_id": "9390073"}, {"ref": "yaireshelcahansky/tensorflow-for-prdicting-house-prices", "kernel_id": "9163070"}, {"ref": "shreyasvaghasia/exercise-model-validation", "kernel_id": "9866532"}, {"ref": "ibrahimaoad/house-organized", "kernel_id": "9079502"}, {"ref": "nischaydnk/beginners-top-4-with-simple-xgboost", "kernel_id": "9030406"}, {"ref": "sebastianolivares/exercise-machine-learning-competitions", "kernel_id": "9457371"}, {"ref": "pablogr19/exercise-machine-learning-competitions", "kernel_id": "9563126"}, {"ref": "pablogr19/fork-of-exercise-machine-learning-competit-a2a67b", "kernel_id": "9581109"}, {"ref": "pablogr19/exercise-introduction", "kernel_id": "9587350"}, {"ref": "carlesorf/housing-prices-with-h2o", "kernel_id": "9612414"}, {"ref": "carlesorf/housing-prices-with-topt-xgboost-keras", "kernel_id": "9454919"}, {"ref": "pcbreviglieri/enhanced-house-price-predictions", "kernel_id": "9217593"}, {"ref": "hrishikeshsaloi/exercise-categorical-variables", "kernel_id": "9175857"}, {"ref": "davidlee519/exercise-categorical-variables", "kernel_id": "9496707"}, {"ref": "vishnu691999/eda-data-cleaning-feature-encoding-top-20", "kernel_id": "9276206"}, {"ref": "shintarokasai/house-price-forcast", "kernel_id": "9489765"}, {"ref": "rajabhi1/exercise-data-leakage", "kernel_id": "9965234"}, {"ref": "rajabhi1/exercise-your-first-machine-learning-model", "kernel_id": "9682578"}, {"ref": "rajabhi1/exercise-machine-learning-competitions", "kernel_id": "9707179"}, {"ref": "khushbupatidar/housing-price-beginnerlevel", "kernel_id": "9654830"}, {"ref": "shikharvardhan97/exercise-machine-learning-competitions", "kernel_id": "9168537"}, {"ref": "rungta/sale-price-detection", "kernel_id": "9264175"}, {"ref": "poojami/exercise-machine-learning-competitions", "kernel_id": "9339678"}, {"ref": "sourinroy/iowa-housing-prices-regression", "kernel_id": "9054786"}, {"ref": "rameshwarnathtiwari/exercise-machine-learning-competitions", "kernel_id": "9224080"}, {"ref": "yuvrajmetrani/exercise-missing-values", "kernel_id": "9701632"}, {"ref": "shivamsouravjha/exercise-xgboost", "kernel_id": "9285775"}, {"ref": "justinflanagan/housing-prices-xgboost", "kernel_id": "9833464"}, {"ref": "mformihir/exercise-machine-learning-competitions", "kernel_id": "9494659"}, {"ref": "mohammaddilshad/exercise-categorical-variables", "kernel_id": "9511530"}, {"ref": "akarshsharma/exercise-your-first-machine-learning-model", "kernel_id": "9064092"}, {"ref": "akarshsharma/exercise-underfitting-and-overfitting", "kernel_id": "9317339"}, {"ref": "akarshsharma/exercise-random-forests", "kernel_id": "9321781"}, {"ref": "akarshsharma/exercise-model-validation", "kernel_id": "9315596"}, {"ref": "akarshsharma/exercise-missing-values", "kernel_id": "9323862"}, {"ref": "akarshsharma/housing-price-notebook", "kernel_id": "9322568"}, {"ref": "akarshsharma/exercise-pipelines", "kernel_id": "9343149"}, {"ref": "akarshsharma/exercise-cross-validation", "kernel_id": "9345949"}, {"ref": "gtatiana/exercise-your-first-machine-learning-model", "kernel_id": "9689789"}, {"ref": "gtatiana/exercise-model-validation", "kernel_id": "9690237"}, {"ref": "gtatiana/exercise-random-forests", "kernel_id": "9691567"}, {"ref": "gtatiana/exercise-underfitting-and-overfitting", "kernel_id": "9691297"}, {"ref": "sushantachakrabarty/exercise-introduction", "kernel_id": "9561650"}, {"ref": "thomascountz/kaggle-comp-housing-prices", "kernel_id": "9558516"}, {"ref": "adszinc/exercise-data-leakage", "kernel_id": "9199466"}, {"ref": "abhaporwal/exercise-machine-learning-competitions", "kernel_id": "9044367"}, {"ref": "nandkishorsharma/exercise-missing-values", "kernel_id": "9504071"}, {"ref": "ivanpombo/exercise-introduction", "kernel_id": "9342833"}, {"ref": "ivanpombo/exercise-machine-learning-competitions", "kernel_id": "9300828"}, {"ref": "ashishgupta97065/exercise-machine-learning-competitions", "kernel_id": "9075220"}, {"ref": "vitaliypryhodko/exercise-missing-values", "kernel_id": "9209279"}, {"ref": "vitaliypryhodko/exercise-introduction", "kernel_id": "9165710"}, {"ref": "vitaliypryhodko/exercise-underfitting-and-overfitting", "kernel_id": "9075022"}, {"ref": "vitaliypryhodko/exercise-random-forests", "kernel_id": "9078150"}, {"ref": "vitaliypryhodko/exercise-machine-learning-competitions", "kernel_id": "9078349"}, {"ref": "vitaliypryhodko/exercise-your-first-machine-learning-model", "kernel_id": "9027055"}, {"ref": "vitaliypryhodko/exercise-model-validation", "kernel_id": "9039903"}, {"ref": "deepthideep/exercise-categorical-variables", "kernel_id": "9466732"}, {"ref": "lorantimre/exercise-your-first-machine-learning-model", "kernel_id": "9011734"}, {"ref": "profcarlosdelfino/exercise-introduction", "kernel_id": "9105505"}, {"ref": "profcarlosdelfino/exercise-machine-learning-competitions", "kernel_id": "9070850"}, {"ref": "siyuanzen/exercise-categorical-variables", "kernel_id": "9037915"}, {"ref": "pierrelym/exercise-categorical-variables", "kernel_id": "9012938"}, {"ref": "harshvardhanrao/machine-learning-competitions", "kernel_id": "9298605"}, {"ref": "anshuldimri/exercise-machine-learning-competitions", "kernel_id": "9021023"}, {"ref": "gurleenkailey/housing-price-prediction", "kernel_id": "9595082"}, {"ref": "chunyinkong/exercise-machine-learning-competitions", "kernel_id": "9603743"}, {"ref": "chunyinkong/exercise-introduction", "kernel_id": "9605645"}, {"ref": "kinnarij/kaggle-exercise-solution-model-validation", "kernel_id": "9264752"}, {"ref": "kinnarij/exercise-underfitting-and-overfitting", "kernel_id": "9287769"}, {"ref": "kinnarij/kaggle-exercise-solution-random-forests", "kernel_id": "9289247"}, {"ref": "kinnarij/kaggle-exercise-sol-machine-learning-competitions", "kernel_id": "9289342"}, {"ref": "kinnarij/kaggle-solution-your-first-machine-learning-model", "kernel_id": "9167532"}, {"ref": "ohikhatemengeorge/exercise-machine-learning-competitions", "kernel_id": "9113157"}, {"ref": "nsmit87/exercise-machine-learning-competitions", "kernel_id": "9105765"}, {"ref": "rahul96rajan/exercise-your-first-machine-learning-model", "kernel_id": "9288509"}, {"ref": "rahul96rajan/exercise-model-validation", "kernel_id": "9290183"}, {"ref": "rahul96rajan/exercise-underfitting-and-overfitting", "kernel_id": "9299672"}, {"ref": "rahul96rajan/exercise-random-forests", "kernel_id": "9301479"}, {"ref": "killeraddict/exercise-machine-learning-competitions", "kernel_id": "9189519"}, {"ref": "kaggleke/exercise-machine-learning-competitions", "kernel_id": "9303535"}, {"ref": "rationalspace/exercise-your-first-machine-learning-model", "kernel_id": "9158241"}, {"ref": "bhargavparmar/exercise-introduction", "kernel_id": "9386910"}, {"ref": "shub99/exercise-your-first-machine-learning-model", "kernel_id": "9555984"}, {"ref": "shub99/exercise-random-forests", "kernel_id": "9557338"}, {"ref": "shub99/exercise-model-validation", "kernel_id": "9556903"}, {"ref": "scotteisberg/exercise-machine-learning-competitions", "kernel_id": "9121206"}, {"ref": "madhu2412/exercise-machine-learning-competitions", "kernel_id": "9115046"}, {"ref": "nitinkhandagale/exercise-missing-values", "kernel_id": "9545068"}, {"ref": "parthsirohi101/exercise-introduction", "kernel_id": "9176784"}, {"ref": "benabbouzohir/houses-prices-prediction", "kernel_id": "9986093"}, {"ref": "minhazalam/exercise-introduction", "kernel_id": "9223061"}, {"ref": "aybukemeydan/exercise-machine-learning-competitions", "kernel_id": "9298952"}, {"ref": "shivamsharma00/house-price-predictions", "kernel_id": "9289434"}, {"ref": "sampathgonnuru/exercise-your-first-machine-learning-model", "kernel_id": "9987136"}, {"ref": "sampathgonnuru/exercise-model-validation", "kernel_id": "9990448"}, {"ref": "sampathgonnuru/exercise-underfitting-and-overfitting", "kernel_id": "9991280"}, {"ref": "sampathgonnuru/exercise-random-forests", "kernel_id": "9991476"}, {"ref": "thakareakshay1709/exercise-pipelines", "kernel_id": "9671736"}, {"ref": "daniellefebvre/exercise-missing-values", "kernel_id": "9262372"}, {"ref": "aritroroy/exercise-machine-learning-competitions", "kernel_id": "9281580"}, {"ref": "cbackes000/exercise-underfitting-and-overfitting", "kernel_id": "9292679"}, {"ref": "cbackes000/exercise-your-first-machine-learning-model", "kernel_id": "9273638"}, {"ref": "cbackes000/exercise-xgboost", "kernel_id": "9403278"}, {"ref": "cbackes000/exercise-pipelines", "kernel_id": "9386049"}, {"ref": "cbackes000/exercise-categorical-variables", "kernel_id": "9385254"}, {"ref": "cbackes000/exercise-data-leakage", "kernel_id": "9421302"}, {"ref": "cbackes000/exercise-introduction", "kernel_id": "9363612"}, {"ref": "cbackes000/exercise-missing-values", "kernel_id": "9365187"}, {"ref": "karthikbelur/exercise-categorical-variables", "kernel_id": "9385276"}, {"ref": "adiprotego/housing-prices", "kernel_id": "9627600"}, {"ref": "ashalathasreshty/housing-price-data-analysis", "kernel_id": "9712298"}, {"ref": "adityanigam/exercise-categorical-variables", "kernel_id": "9565781"}, {"ref": "sitloboi/exercise-machine-learning-competitions", "kernel_id": "9322304"}, {"ref": "missjaanii/exercise-machine-learning-competitions", "kernel_id": "9995281"}, {"ref": "lasmarques/exercise-your-first-machine-learning-model", "kernel_id": "9362040"}, {"ref": "supreetsahni/exercise-machine-learning-competitions", "kernel_id": "9915005"}, {"ref": "maxvdw/exercise-xgboost", "kernel_id": "9963398"}, {"ref": "cokohlit/exercise-model-validation", "kernel_id": "9958911"}, {"ref": "justrv/exercise-machine-learning-competitions", "kernel_id": "9796237"}, {"ref": "moamennasser/exercise-model-validation", "kernel_id": "9368894"}, {"ref": "moamennasser/exercise-your-first-machine-learning-model", "kernel_id": "9366812"}, {"ref": "moamennasser/exercise-introduction", "kernel_id": "9425442"}, {"ref": "moamennasser/exercise-random-forests", "kernel_id": "9404457"}, {"ref": "moamennasser/exercise-machine-learning-competitions", "kernel_id": "9404555"}, {"ref": "moamennasser/exercise-underfitting-and-overfitting", "kernel_id": "9403571"}, {"ref": "moamennasser/exercise-categorical-variables", "kernel_id": "9502104"}, {"ref": "moamennasser/exercise-missing-values", "kernel_id": "9437376"}, {"ref": "moamennasser/exercise-pipelines", "kernel_id": "9620263"}, {"ref": "moamennasser/exercise-cross-validation", "kernel_id": "9672915"}, {"ref": "moamennasser/exercise-xgboost", "kernel_id": "9676494"}, {"ref": "moamennasser/exercise-data-leakage", "kernel_id": "9690020"}, {"ref": "sujan97/exercise-categorical-variables", "kernel_id": "9466391"}, {"ref": "sujan97/exercise-introduction", "kernel_id": "9454836"}, {"ref": "sujan97/exercise-missing-values", "kernel_id": "9455350"}, {"ref": "sujan97/exercise-xgboost", "kernel_id": "9486081"}, {"ref": "sujan97/exercise-pipelines", "kernel_id": "9485537"}, {"ref": "amgcode/exercise-machine-learning-competitions", "kernel_id": "9400505"}, {"ref": "vishalkrsrivastava/exercise-machine-learning-competitions", "kernel_id": "9901567"}, {"ref": "asishmandoi/exercise-machine-learning-competitions", "kernel_id": "9618523"}, {"ref": "bhanurdramohapatra/housing-price", "kernel_id": "9509557"}, {"ref": "hieutrungle/exercise-introduction", "kernel_id": "9596540"}, {"ref": "eaglekeeneye/exercise-machine-learning-competitions", "kernel_id": "9495691"}, {"ref": "mcguiree/exercise-machine-learning-competitions", "kernel_id": "9514478"}, {"ref": "ouyangg/house-price", "kernel_id": "9603270"}, {"ref": "ankit2104/exercise-introduction", "kernel_id": "9901287"}, {"ref": "meganjogunther/exercise-machine-learning-competitions", "kernel_id": "9518620"}, {"ref": "garimaojha/exercise-random-forests", "kernel_id": "9822449"}, {"ref": "rahulbatish/exercise-machine-learning-competitions", "kernel_id": "9507709"}, {"ref": "jareddeguzman/personal-project-1-housing", "kernel_id": "9580534"}, {"ref": "demikor/exercise-machine-learning-competitions", "kernel_id": "9632076"}, {"ref": "naveeniitk/exercise-machine-learning-competitions", "kernel_id": "9870157"}, {"ref": "radualexa/exercise-categorical-variables", "kernel_id": "9805509"}, {"ref": "amolgaikwad33/exercise-your-first-machine-learning-model", "kernel_id": "9660469"}, {"ref": "michelfagundes/exercise-machine-learning-competitions", "kernel_id": "9763804"}, {"ref": "silvanbeneker/exercise-categorical-variables", "kernel_id": "9886123"}, {"ref": "reekithak/exercise-machine-learning-competitions", "kernel_id": "9896498"}, {"ref": "jonathanhenson/my-first-machine-learning-comp", "kernel_id": "9823947"}, {"ref": "anasslmoh/house-prices-prediction-using-xgb-regressor", "kernel_id": "9978891"}, {"ref": "bhavinmoriya/exercise-machine-learning-competitions", "kernel_id": "9812228"}, {"ref": "bhavinmoriya/exercise-random-forests", "kernel_id": "9812166"}, {"ref": "bhavinmoriya/exercise-underfitting-and-overfitting", "kernel_id": "9811875"}, {"ref": "darpanchawla/exercise-introduction", "kernel_id": "9903097"}, {"ref": "huaiya/exercise-categorical-variables", "kernel_id": "9878720"}, {"ref": "chimaobiamadi/exercise-introduction", "kernel_id": "9941309"}, {"ref": "skaman/exercise-random-forests", "kernel_id": "9993243"}, {"ref": "riyastudent/exercise-machine-learning-competitions", "kernel_id": "9935474"}, {"ref": "patilharshal/exercise-machine-learning-competitions", "kernel_id": "9927120"}, {"ref": "percy99/exercise-your-first-machine-learning-model", "kernel_id": "9907084"}, {"ref": "osamaaref/exercise-your-first-machine-learning-model-70a614", "kernel_id": "10063672"}, {"ref": "osamaaref/exercise-model-validation", "kernel_id": "10064057"}, {"ref": "osamaaref/exercise-underfitting-and-overfitting", "kernel_id": "10064377"}, {"ref": "osamaaref/exercise-random-forests", "kernel_id": "10065715"}, {"ref": "osamaaref/exercise-machine-learning-competitions", "kernel_id": "10065787"}, {"ref": "amirtha/exercise-missing-values", "kernel_id": "10766562"}, {"ref": "shaguftaazad/exercise-pipelines", "kernel_id": "10503990"}, {"ref": "shaguftaazad/exercise-missing-values", "kernel_id": "10498176"}, {"ref": "mksaad/house-price-keras", "kernel_id": "10683810"}, {"ref": "mksaad/house-price-keras-tf", "kernel_id": "10705074"}, {"ref": "mksaad/house-price-features-engineering", "kernel_id": "10553923"}, {"ref": "mksaad/house-price-xgboost-gridsearch", "kernel_id": "10554901"}, {"ref": "mksaad/house-price-randomforest-gridsearch", "kernel_id": "10555043"}, {"ref": "mksaad/exercise-categorical-variables-intermediate-ml", "kernel_id": "10574685"}, {"ref": "mksaad/underfitting-and-overfitting-leafnode-depth", "kernel_id": "10503273"}, {"ref": "mksaad/exercise-missing-values-intermediate-ml", "kernel_id": "10539795"}, {"ref": "mksaad/exercise-your-first-machine-learning-model-8904b1", "kernel_id": "10454877"}, {"ref": "tyadav/exercise-underfitting-and-overfitting", "kernel_id": "10269538"}, {"ref": "tyadav/exercise-machine-learning-competitions", "kernel_id": "10269847"}, {"ref": "raisa3006/exercise-machine-learning-competitions", "kernel_id": "10941547"}, {"ref": "raisa3006/exercise-random-forests", "kernel_id": "10941502"}, {"ref": "raisa3006/exercise-model-validation", "kernel_id": "10941218"}, {"ref": "rrayanna/housing-prices-competition", "kernel_id": "10492840"}, {"ref": "anupamsingh10/exercise-underfitting-and-overfitting", "kernel_id": "10481476"}, {"ref": "iravikant/exercise-machine-learning-competitions", "kernel_id": "10939588"}, {"ref": "adioak/exercise-model-validation", "kernel_id": "10061308"}, {"ref": "adioak/exercise-underfitting-and-overfitting", "kernel_id": "10062014"}, {"ref": "adioak/exercise-your-first-machine-learning-model", "kernel_id": "10059406"}, {"ref": "ayushexel/kaggle-ml-inter2-categoricalval", "kernel_id": "10986160"}, {"ref": "ayushexel/ml-inter-crossval", "kernel_id": "10988347"}, {"ref": "ayushexel/kaggle-mlinter-xgb", "kernel_id": "10988961"}, {"ref": "dharunraghava/housing-price-prediction-with-tensorflow-nn", "kernel_id": "10925209"}, {"ref": "smiledana/exercise-introduction", "kernel_id": "10336143"}, {"ref": "smiledana/exercise-your-first-machine-learning-model", "kernel_id": "10276828"}, {"ref": "smiledana/exercise-model-validation", "kernel_id": "10277196"}, {"ref": "smiledana/exercise-underfitting-and-overfitting", "kernel_id": "10277512"}, {"ref": "smiledana/exercise-random-forests", "kernel_id": "10278089"}, {"ref": "smiledana/exercise-machine-learning-competitions", "kernel_id": "10278143"}, {"ref": "jaudir/exercise-your-first-machine-learning-model", "kernel_id": "10126781"}, {"ref": "sandeepkumarkushwaha/exercise-xgboost", "kernel_id": "10141059"}, {"ref": "sandeepkumarkushwaha/exercise-cross-validation", "kernel_id": "10138861"}, {"ref": "sandeepkumarkushwaha/exercise-pipelines", "kernel_id": "10138038"}, {"ref": "sandeepkumarkushwaha/exercise-categorical-variables", "kernel_id": "10125598"}, {"ref": "sandeepkumarkushwaha/exercise-missing-values", "kernel_id": "10118151"}, {"ref": "sandeepkumarkushwaha/exercise-introduction", "kernel_id": "10117567"}, {"ref": "sandeepkumarkushwaha/exercise-your-first-machine-learning-model-a4e532", "kernel_id": "10103139"}, {"ref": "jindingars/data-science-workflow", "kernel_id": "10106413"}, {"ref": "gabrieldusing/exercise-cross-validation", "kernel_id": "10225227"}, {"ref": "gabrieldusing/exercise-xgboost", "kernel_id": "10237548"}, {"ref": "deepak001/house-price-xgb-voting-regressor-and-auto-keras", "kernel_id": "10869990"}, {"ref": "israakhalil/exercise-pipelines", "kernel_id": "10576486"}, {"ref": "krgaurav45/exercise-your-first-machine-learning-model", "kernel_id": "10947974"}, {"ref": "krgaurav45/exercise-underfitting-and-overfitting", "kernel_id": "10964900"}, {"ref": "krgaurav45/exercise-model-validation", "kernel_id": "10948886"}, {"ref": "moofkit/exercise-pipelines", "kernel_id": "10996266"}, {"ref": "vidhyasankari/exercise-introduction", "kernel_id": "10598235"}, {"ref": "anshuljdhingra/exercise-categorical-variables", "kernel_id": "10135397"}, {"ref": "lssilveira11/exercise-missing-values", "kernel_id": "10959879"}, {"ref": "rishikeshkonapure/exercise-underfitting-and-overfitting", "kernel_id": "10527664"}, {"ref": "adarsh4u/exercise-introduction", "kernel_id": "10871243"}, {"ref": "ak1352/exercise-data-leakage", "kernel_id": "10723338"}, {"ref": "ak1352/exercise-xgboost", "kernel_id": "10722628"}, {"ref": "ak1352/exercise-cross-validation", "kernel_id": "10719878"}, {"ref": "ak1352/exercise-pipelines", "kernel_id": "10719370"}, {"ref": "ak1352/exercise-categorical-variables", "kernel_id": "10718880"}, {"ref": "ak1352/exercise-missing-values", "kernel_id": "10704150"}, {"ref": "ak1352/exercise-introduction", "kernel_id": "10703656"}, {"ref": "ak1352/exercise-your-first-machine-learning-model", "kernel_id": "10702793"}, {"ref": "ak1352/exercise-underfitting-and-overfitting", "kernel_id": "10703268"}, {"ref": "ak1352/exercise-random-forests", "kernel_id": "10703375"}, {"ref": "ak1352/exercise-machine-learning-competitions", "kernel_id": "10703428"}, {"ref": "ak1352/exercise-model-validation", "kernel_id": "10703029"}, {"ref": "aadarsh168/housing-price", "kernel_id": "10569690"}, {"ref": "chaitanyamadaka/exercise-random-forests", "kernel_id": "10410963"}, {"ref": "chaitanyamadaka/exercise-machine-learning-competitions", "kernel_id": "10411088"}, {"ref": "chaitanyamadaka/exercise-introduction", "kernel_id": "10413025"}, {"ref": "chaitanyamadaka/exercise-missing-values", "kernel_id": "10413779"}, {"ref": "chaitanyamadaka/exercise-data-leakage", "kernel_id": "10495211"}, {"ref": "chaitanyamadaka/exercise-pipelines", "kernel_id": "10473984"}, {"ref": "chaitanyamadaka/exercise-cross-validation", "kernel_id": "10477699"}, {"ref": "chaitanyamadaka/exercise-xgboost", "kernel_id": "10479470"}, {"ref": "chaitanyamadaka/exercise-categorical-variables", "kernel_id": "10448299"}, {"ref": "chaitanyamadaka/exercise-underfitting-and-overfitting", "kernel_id": "10334606"}, {"ref": "tanvi05/exercise-your-first-machine-learning-model", "kernel_id": "10514070"}, {"ref": "tanvi05/exercise-model-validation", "kernel_id": "10514247"}, {"ref": "tanvi05/exercise-underfitting-and-overfitting", "kernel_id": "10519665"}, {"ref": "tanvi05/exercise-machine-learning-competitions", "kernel_id": "10519993"}, {"ref": "tanvi05/exercise-random-forests", "kernel_id": "10519840"}, {"ref": "darkcore/prediction-with-xgbregressor", "kernel_id": "10522275"}, {"ref": "fathu123/exercise-machine-learning-competitions", "kernel_id": "10849743"}, {"ref": "deemistral/exercise-machine-learning-competitions", "kernel_id": "10722576"}, {"ref": "gabrielmilan/top-2-kaggle-learn-house-prices", "kernel_id": "10101423"}, {"ref": "birolemekli/basic-xgboost-top-5", "kernel_id": "10538873"}, {"ref": "mdomain1/exercise-machine-learning-competitions", "kernel_id": "10336574"}, {"ref": "mdomain1/exercise-random-forests", "kernel_id": "10336033"}, {"ref": "mehmetnhisworld/exercise-machine-learning-competitions", "kernel_id": "10435755"}, {"ref": "agirlcoding/first-housing-submission", "kernel_id": "10488577"}, {"ref": "anushonkar/exercise-machine-learning-competitions", "kernel_id": "10922991"}, {"ref": "justlovely110/exercise-machine-learning-competitions", "kernel_id": "10590597"}, {"ref": "hamzatanc/exercise-machine-learning-competitions", "kernel_id": "10746834"}, {"ref": "sshubham913/exercise-machine-learning-competitions", "kernel_id": "10413872"}, {"ref": "cansuecevit/exercise-machine-learning-competitions", "kernel_id": "10434015"}, {"ref": "cansuecevit/exercise-random-forests", "kernel_id": "10433923"}, {"ref": "cansuecevit/exercise-model-validation", "kernel_id": "10417345"}, {"ref": "cansuecevit/exercise-underfitting-and-overfitting", "kernel_id": "10418902"}, {"ref": "cansuecevit/exercise-your-first-machine-learning-model", "kernel_id": "10401022"}, {"ref": "cansuecevit/exercise-introduction", "kernel_id": "10578563"}, {"ref": "cansuecevit/exercise-missing-values", "kernel_id": "10592953"}, {"ref": "cansuecevit/exercise-categorical-variables", "kernel_id": "10593284"}, {"ref": "cansuecevit/exercise-pipelines", "kernel_id": "10594356"}, {"ref": "cansuecevit/exercise-data-leakage", "kernel_id": "10595489"}, {"ref": "cansuecevit/exercise-xgboost", "kernel_id": "10594832"}, {"ref": "sevdanurgenc/exercise-cross-validation", "kernel_id": "10418819"}, {"ref": "sevdanurgenc/exercise-pipelines", "kernel_id": "10417602"}, {"ref": "sevdanurgenc/exercise-missing-values", "kernel_id": "10415826"}, {"ref": "sevdanurgenc/exercise-introduction", "kernel_id": "10415584"}, {"ref": "sevdanurgenc/exercise-categorical-variables", "kernel_id": "10416379"}, {"ref": "sevdanurgenc/exercise-underfitting-and-overfitting", "kernel_id": "10414718"}, {"ref": "sevdanurgenc/exercise-random-forests", "kernel_id": "10414888"}, {"ref": "sevdanurgenc/exercise-model-validation", "kernel_id": "10398959"}, {"ref": "sevdanurgenc/exercise-machine-learning-competitions", "kernel_id": "10397383"}, {"ref": "sevdanurgenc/exercise-your-first-machine-learning-model", "kernel_id": "10397867"}, {"ref": "sevdanurgenc/exercise-xgboost", "kernel_id": "10651680"}, {"ref": "sevdanurgenc/exercise-data-leakage", "kernel_id": "10651722"}, {"ref": "edwinhung/catboost-encoding", "kernel_id": "10432240"}, {"ref": "gopalgopesh/xgb-pipe-gridsearch", "kernel_id": "10069733"}, {"ref": "ajpass/housing-data-wip", "kernel_id": "10846821"}, {"ref": "yaswanthkulas/exercise-machine-learning-competitions", "kernel_id": "10312669"}, {"ref": "tugrulyilmaz/exercise-machine-learning-competitions", "kernel_id": "10436310"}, {"ref": "dhr3ban/exercise-machine-learning-competitions", "kernel_id": "10306853"}, {"ref": "dhr3ban/exercise-missing-values", "kernel_id": "10569345"}, {"ref": "dhr3ban/exercise-introduction", "kernel_id": "10568771"}, {"ref": "imeugeneco/exercise-missing-values", "kernel_id": "10972939"}, {"ref": "linmari88/exercise-machine-learning-competitions", "kernel_id": "10084921"}, {"ref": "amsavchuk/exercise-introduction", "kernel_id": "10500895"}, {"ref": "amsavchuk/exercise-model-validation", "kernel_id": "10488554"}, {"ref": "amsavchuk/exercise-your-first-machine-learning-model", "kernel_id": "10488288"}, {"ref": "amsavchuk/exercise-machine-learning-competitions", "kernel_id": "10489049"}, {"ref": "amsavchuk/exercise-random-forests", "kernel_id": "10488966"}, {"ref": "amsavchuk/exercise-underfitting-and-overfitting", "kernel_id": "10488799"}, {"ref": "amsavchuk/exercise-missing-values", "kernel_id": "10501226"}, {"ref": "amsavchuk/exercise-categorical-variables-two-imputers", "kernel_id": "10580333"}, {"ref": "amsavchuk/exercise-categorical-variables", "kernel_id": "10561324"}, {"ref": "amsavchuk/exercise-data-leakage", "kernel_id": "10612066"}, {"ref": "amsavchuk/exercise-xgboost", "kernel_id": "10605951"}, {"ref": "amsavchuk/exercise-pipelines", "kernel_id": "10597242"}, {"ref": "amsavchuk/exercise-cross-validation", "kernel_id": "10597498"}, {"ref": "p13arnabc/housing-prices-data-processing-stacking-models", "kernel_id": "10131771"}, {"ref": "oktaysamur/exercise-machine-learning-competitions", "kernel_id": "10726340"}, {"ref": "roybmutia/housing-pricing-prediction-with-xgboost", "kernel_id": "10015790"}, {"ref": "papan21/exercise-machine-learning-competitions", "kernel_id": "10084684"}, {"ref": "kulkarnisp/exercise-machine-learning-competitions", "kernel_id": "10892850"}, {"ref": "legedithlawimhed/exercise-your-first-machine-learning-model", "kernel_id": "10519813"}, {"ref": "legedithlawimhed/exercise-random-forests", "kernel_id": "10524054"}, {"ref": "legedithlawimhed/exercise-machine-learning-competitions", "kernel_id": "10524122"}, {"ref": "legedithlawimhed/exercise-underfitting-and-overfitting", "kernel_id": "10522698"}, {"ref": "legedithlawimhed/exercise-model-validation", "kernel_id": "10522392"}, {"ref": "khaledmahmud/exercise-missing-values", "kernel_id": "10939236"}, {"ref": "khaledmahmud/exercise-introduction", "kernel_id": "10925267"}, {"ref": "khaledmahmud/exercise-categorical-variables", "kernel_id": "10976082"}, {"ref": "khaledmahmud/exercise-your-first-machine-learning-model", "kernel_id": "10900821"}, {"ref": "khaledmahmud/exercise-machine-learning-competitions", "kernel_id": "10901138"}, {"ref": "tajulsaajan/exercise-machine-learning-competitions", "kernel_id": "10691112"}, {"ref": "nguyehi1/exercise-machine-learning-competitions", "kernel_id": "10151546"}, {"ref": "christopherokoth313/exercise-machine-learning-competitions", "kernel_id": "10356604"}, {"ref": "adivyas101/a-simple-and-basic-model-house-price-prediction", "kernel_id": "10226185"}, {"ref": "anzarwani2/exercise-pipelines", "kernel_id": "10289610"}, {"ref": "mohitrobo/exercise-machine-learning-competitions", "kernel_id": "10410802"}, {"ref": "fxthefool/exercise-machine-learning-competitions", "kernel_id": "10077984"}, {"ref": "rehan1024/exercise-machine-learning-competitions", "kernel_id": "10853036"}, {"ref": "pedroozelim/exercise-machine-learning-competitions", "kernel_id": "10559454"}, {"ref": "hadiasami/exercise-your-first-machine-learning-model", "kernel_id": "10454026"}, {"ref": "hadiasami/exercise-model-validation", "kernel_id": "10455018"}, {"ref": "hadiasami/exercise-underfitting-and-overfitting", "kernel_id": "10534304"}, {"ref": "hadiasami/exercise-missing-values", "kernel_id": "10539145"}, {"ref": "hadiasami/exercise-categorical-variables", "kernel_id": "10574477"}, {"ref": "hadiasami/exercise-machine-learning-competitions", "kernel_id": "10573835"}, {"ref": "hadiasami/exercise-random-forests", "kernel_id": "10573644"}, {"ref": "hadiasami/exercise-pipelines", "kernel_id": "10576130"}, {"ref": "hadiasami/exercise-cross-validation", "kernel_id": "10576638"}, {"ref": "dagneazene/eda-and-gradient-boosting", "kernel_id": "10404757"}, {"ref": "vishnuduttsoni/exercise-your-first-machine-learning-model", "kernel_id": "10762196"}, {"ref": "gulshanb/exercise-machine-learning-competitions-217f61", "kernel_id": "10771885"}, {"ref": "neelaadityakumar/exercise-categorical-variables", "kernel_id": "10604187"}, {"ref": "neelaadityakumar/exercise-random-forests", "kernel_id": "10598544"}, {"ref": "neelaadityakumar/exercise-missing-values", "kernel_id": "10598834"}, {"ref": "neelaadityakumar/underfitting-and-overfitting", "kernel_id": "10598278"}, {"ref": "neelaadityakumar/exercise-introduction", "kernel_id": "10598741"}, {"ref": "neelaadityakumar/machine-learning-competitions", "kernel_id": "10598153"}, {"ref": "neelaadityakumar/data-leakage", "kernel_id": "10607788"}, {"ref": "neelaadityakumar/xgboost", "kernel_id": "10607084"}, {"ref": "neelaadityakumar/pipelines", "kernel_id": "10605311"}, {"ref": "neelaadityakumar/cross-validation", "kernel_id": "10605906"}, {"ref": "cansuyalcin07/exercise-machine-learning-competitions", "kernel_id": "10493482"}, {"ref": "shahrukh0603/exercise-xgboost", "kernel_id": "10429705"}, {"ref": "intscoty1234568/exercise-pipelines", "kernel_id": "10777013"}, {"ref": "jainmegha835/exercise-missing-values", "kernel_id": "10647047"}, {"ref": "harrybenkemoun5/exercise-missing-values", "kernel_id": "10683741"}, {"ref": "abdelwahed43/house-price-prediction-apply-in-ml", "kernel_id": "10525113"}, {"ref": "faizaislam/exercise-model-validation", "kernel_id": "10924001"}, {"ref": "tanaydangaich/exercise-machine-learning-competitions", "kernel_id": "10360766"}, {"ref": "andrewhylee/exercise-machine-learning-competitions", "kernel_id": "10875059"}, {"ref": "danny8998/exercise-introduction", "kernel_id": "10413871"}, {"ref": "danny8998/exercise-missing-values", "kernel_id": "10414617"}, {"ref": "danny8998/exercise-random-forests", "kernel_id": "10403239"}, {"ref": "danny8998/exercise-underfitting-and-overfitting", "kernel_id": "10403091"}, {"ref": "danny8998/exercise-model-validation", "kernel_id": "10402822"}, {"ref": "danny8998/exercise-machine-learning-competitions", "kernel_id": "10403301"}, {"ref": "danny8998/exercise-your-first-machine-learning-model", "kernel_id": "10402412"}, {"ref": "ajinsunny/exercise-your-first-machine-learning-model", "kernel_id": "10462937"}, {"ref": "ajinsunny/exercise-model-validation", "kernel_id": "10463439"}, {"ref": "ajinsunny/exercise-random-forests", "kernel_id": "10479209"}, {"ref": "ajinsunny/exercise-machine-learning-competitions", "kernel_id": "10479567"}, {"ref": "ajinsunny/exercise-underfitting-and-overfitting", "kernel_id": "10478722"}, {"ref": "rishabhcoder1/exercise-introduction", "kernel_id": "10838929"}, {"ref": "nikhilkmr300/housing-prices-eda", "kernel_id": "10592831"}, {"ref": "samyakagarwal20/exercise-your-first-machine-learning-model", "kernel_id": "10126738"}, {"ref": "samyakagarwal20/exercise-model-validation", "kernel_id": "10141461"}, {"ref": "samyakagarwal20/exercise-machine-learning-competitions", "kernel_id": "10146575"}, {"ref": "samyakagarwal20/exercise-random-forests", "kernel_id": "10146475"}, {"ref": "samyakagarwal20/exercise-underfitting-and-overfitting", "kernel_id": "10145689"}, {"ref": "samyakagarwal20/exercise-introduction", "kernel_id": "10166880"}, {"ref": "omareltouny/exercise-categorical-variables", "kernel_id": "10276985"}, {"ref": "dskagglemt/exercise-cross-validation", "kernel_id": "10531568"}, {"ref": "dskagglemt/exercise-xgboost", "kernel_id": "10531717"}, {"ref": "dskagglemt/exercise-data-leakage", "kernel_id": "10531884"}, {"ref": "bbpatil/kernel434f0c7249", "kernel_id": "10890691"}, {"ref": "jmhuertasg/exercise-random-forests", "kernel_id": "10511221"}, {"ref": "jmhuertasg/exercise-machine-learning-competitions", "kernel_id": "10511255"}, {"ref": "pratyut121/exercise-machine-learning-competitions", "kernel_id": "10475661"}, {"ref": "pratyut121/exercise-missing-values", "kernel_id": "10487935"}, {"ref": "singhankush01/exercise-machine-learning-competitions", "kernel_id": "10050531"}, {"ref": "singhankush01/exercise-your-first-machine-learning-model", "kernel_id": "10028065"}, {"ref": "vipulgote4/exercise-underfitting-and-overfitting", "kernel_id": "10214369"}, {"ref": "vipulgote4/exercise-model-validation", "kernel_id": "10213788"}, {"ref": "vipulgote4/exercise-random-forests", "kernel_id": "10220847"}, {"ref": "vipulgote4/exercise-missing-values", "kernel_id": "10235522"}, {"ref": "vipulgote4/exercise-categorical-variables", "kernel_id": "10237313"}, {"ref": "vipulgote4/exercise-pipelines", "kernel_id": "10248047"}, {"ref": "vipulgote4/exercise-xgboost", "kernel_id": "10331500"}, {"ref": "vipulgote4/exercise-cross-validation", "kernel_id": "10311234"}, {"ref": "vipulgote4/exercise-data-leakage", "kernel_id": "10360227"}, {"ref": "thalesbruno/exercise-pipelines", "kernel_id": "10555801"}, {"ref": "thalesbruno/ml-course-housing-prices-competition-top-7", "kernel_id": "10568069"}, {"ref": "keshavmandal/exercise-machine-learning-competitions", "kernel_id": "10819498"}, {"ref": "themadprogramer/housing-price-practice", "kernel_id": "10839697"}, {"ref": "sanskritidhar9/exercise-machine-learning-competitions", "kernel_id": "10397342"}, {"ref": "bhuveshkumar/exercise-machine-learning-competitions", "kernel_id": "10722317"}, {"ref": "gferger/exercise-introduction", "kernel_id": "10010506"}, {"ref": "lokeshrth4617/house-price-prediction-boosting-method", "kernel_id": "10461508"}, {"ref": "lokeshrth4617/ml-competition", "kernel_id": "10378542"}, {"ref": "bestcnx/exercise-introduction-kaggle-course", "kernel_id": "10038827"}, {"ref": "huwaizatahir/exercise-model-validation", "kernel_id": "10674701"}, {"ref": "huwaizatahir/exercise-your-first-machine-learning-model", "kernel_id": "10674493"}, {"ref": "huwaizatahir/exercise-underfitting-and-overfitting", "kernel_id": "10675546"}, {"ref": "huwaizatahir/exercise-machine-learning-competitions", "kernel_id": "10675915"}, {"ref": "huwaizatahir/exercise-random-forests", "kernel_id": "10675822"}, {"ref": "huytran9/exercise-missing-values", "kernel_id": "10127052"}, {"ref": "asif17186/exercise-machine-learning-competitions", "kernel_id": "10224568"}, {"ref": "momincks/lightgbm-for-house-prices", "kernel_id": "10556102"}, {"ref": "cephasosayi/exercise-your-first-machine-learning-model", "kernel_id": "10499863"}, {"ref": "ahmedalghaliz/exercise-pipelines", "kernel_id": "10392087"}, {"ref": "ahmedalghaliz/exercise-xgboost", "kernel_id": "10572638"}, {"ref": "fathialasali/exercise-your-first-machine-learning-model-7ff00e", "kernel_id": "10175168"}, {"ref": "fathialasali/exercise-underfitting-and-overfitting", "kernel_id": "10307348"}, {"ref": "fathialasali/exercise-machine-learning-competitions", "kernel_id": "10303636"}, {"ref": "fathialasali/exercise-pipelines", "kernel_id": "10392211"}, {"ref": "fathialasali/exercise-cross-validation", "kernel_id": "10393340"}, {"ref": "fathialasali/exercise-xgboost", "kernel_id": "10394369"}, {"ref": "fathialasali/exercise-data-leakage", "kernel_id": "10420155"}, {"ref": "fathialasali/housing-prices-como", "kernel_id": "10600079"}, {"ref": "fathialasali/housing-prices-with-keras", "kernel_id": "10681694"}, {"ref": "zhangyaowu/exercise-machine-learning-competitions", "kernel_id": "10048244"}, {"ref": "jennie365/exercise-machine-learning-competitions", "kernel_id": "10576280"}, {"ref": "saurabhsati/exercise-model-validation", "kernel_id": "10820319"}, {"ref": "seunghyunlee96/houseprice", "kernel_id": "10588363"}, {"ref": "kartikparsoya/housing-price-prediction-using-pipelines", "kernel_id": "10077449"}, {"ref": "apurvasriram/exercise-underfitting-and-overfitting", "kernel_id": "10051164"}, {"ref": "apurvasriram/exercise-machine-learning-competitions", "kernel_id": "10051391"}, {"ref": "apurvasriram/exercise-random-forests", "kernel_id": "10051611"}, {"ref": "apurvasriram/exercise-model-validation", "kernel_id": "10039953"}, {"ref": "apurvasriram/exercise-your-first-machine-learning-model", "kernel_id": "10024227"}, {"ref": "delelinus/exercise-machine-learning-competitions", "kernel_id": "10353698"}, {"ref": "kaushal3663/exercise-pipelines", "kernel_id": "10874675"}, {"ref": "rasikajoshi/exercise-machine-learning-competitions", "kernel_id": "10161212"}, {"ref": "madhurapharande/exercise-model-validation", "kernel_id": "10966204"}, {"ref": "madhurapharande/exercise-underfitting-and-overfitting", "kernel_id": "10966563"}, {"ref": "madhurapharande/exercise-your-first-machine-learning-model", "kernel_id": "10965872"}, {"ref": "shivaabhijith/removing-categorial-variables", "kernel_id": "10551157"}, {"ref": "shivaabhijith/exercise-pipelines", "kernel_id": "10551907"}, {"ref": "shivaabhijith/exercise-cross-validation", "kernel_id": "10577058"}, {"ref": "shivaabhijith/exercise-categorical-variables", "kernel_id": "10532846"}, {"ref": "shivaabhijith/exercise-random-forests", "kernel_id": "10472417"}, {"ref": "shivaabhijith/using-xg-boost", "kernel_id": "10707143"}, {"ref": "shivaabhijith/best-estimator-for-xgboost", "kernel_id": "10754616"}, {"ref": "shivaabhijith/xg-boost-again", "kernel_id": "10847105"}, {"ref": "aiaiaidavid/housing-prices-competition-algorithms-comparison", "kernel_id": "10249890"}, {"ref": "zeroblizzard/exercise-machine-learning-competitions", "kernel_id": "10283081"}, {"ref": "muhammedabdulazeem/exercise-missing-values", "kernel_id": "10014874"}, {"ref": "muhammedabdulazeem/exercise-categorical-variables", "kernel_id": "10015682"}, {"ref": "abhimanyudasarwar/house-price-predictions", "kernel_id": "10350270"}, {"ref": "augustogentile2/exercise-your-first-machine-learning-model", "kernel_id": "10226750"}, {"ref": "seifmohmed/end-to-end-machine-learning-project", "kernel_id": "10921962"}, {"ref": "bikalsuwal/exercise-mac", "kernel_id": "10928199"}, {"ref": "bikalsuwal/exercise-introduction", "kernel_id": "10994289"}, {"ref": "abhijittripathy/exercise-your-first-machine-learning-model", "kernel_id": "10853801"}, {"ref": "abhijittripathy/exercise-model-validation", "kernel_id": "10854563"}, {"ref": "abhijittripathy/exercise-random-forests", "kernel_id": "10859460"}, {"ref": "abhijittripathy/exercise-machine-learning-competitions", "kernel_id": "10859496"}, {"ref": "abhijittripathy/exercise-underfitting-and-overfitting", "kernel_id": "10859272"}, {"ref": "dearguru/exercise-machine-learning-competitions", "kernel_id": "10884113"}, {"ref": "taos2000/house-price-notebook", "kernel_id": "10017442"}, {"ref": "aycancal/exercise-random-forests", "kernel_id": "10471056"}, {"ref": "aycancal/exercise-machine-learning-competitions", "kernel_id": "10471165"}, {"ref": "aycancal/exercise-underfitting-and-overfitting", "kernel_id": "10446015"}, {"ref": "aycancal/exercise-model-validation", "kernel_id": "10445804"}, {"ref": "aycancal/exercise-your-first-machine-learning-model", "kernel_id": "10445622"}, {"ref": "aycancal/exercise-categorical-variables", "kernel_id": "10578107"}, {"ref": "aycancal/exercise-missing-values", "kernel_id": "10563888"}, {"ref": "aycancal/exercise-introduction", "kernel_id": "10563618"}, {"ref": "aycancal/exercise-pipelines", "kernel_id": "10612913"}, {"ref": "aycancal/exercise-cross-validation", "kernel_id": "10613309"}, {"ref": "aycancal/exercise-data-leakage", "kernel_id": "10618168"}, {"ref": "aycancal/exercise-xgboost", "kernel_id": "10617948"}, {"ref": "kushagrakinjawadekar/exercise-pipelines", "kernel_id": "10917124"}, {"ref": "naureenmohammad/house-price-all-regression-models-final", "kernel_id": "10204513"}, {"ref": "ankitdv98/fork-of-exercise-pipelines", "kernel_id": "10020700"}, {"ref": "vivekpisal/exercise-random-forests", "kernel_id": "10000281"}, {"ref": "mileshewitt/exercise-missing-values", "kernel_id": "10436269"}, {"ref": "mahymohamed/exercise-machine-learning-competitions", "kernel_id": "10478825"}, {"ref": "mahymohamed/exercise-missing-values", "kernel_id": "10508138"}, {"ref": "zahrazanjani/exercise-machine-learning-competitions", "kernel_id": "10545922"}, {"ref": "shadyzac/exercise-model-validation", "kernel_id": "10136846"}, {"ref": "shadyzac/exercise-your-first-machine-learning-model", "kernel_id": "10118538"}, {"ref": "emreuzel/exercise-introduction", "kernel_id": "10601887"}, {"ref": "venkateshdharmaraj/exercise-pipelines-dc58af", "kernel_id": "10670262"}, {"ref": "smitisinghal/exercise-model-validation", "kernel_id": "10251206"}, {"ref": "skywalkergaming/exercise-your-first-machine-learning-model", "kernel_id": "10980420"}, {"ref": "skywalkergaming/exercise-model-validation", "kernel_id": "10981495"}, {"ref": "siddhigawande/exercise-machine-learning-competitions", "kernel_id": "10866586"}, {"ref": "sayanmitra99/exercise-pipelines", "kernel_id": "10033114"}, {"ref": "mustang007/house-prediction", "kernel_id": "10294974"}, {"ref": "eliffyildirim1/exercise-underfitting-and-overfitting", "kernel_id": "10503201"}, {"ref": "eliffyildirim1/exercise-random-forests", "kernel_id": "10503858"}, {"ref": "eliffyildirim1/exercise-model-validation", "kernel_id": "10501742"}, {"ref": "eliffyildirim1/exercise-your-first-machine-learning-model", "kernel_id": "10494634"}, {"ref": "gauravgujar/exercise-pipelines", "kernel_id": "10395392"}, {"ref": "vishalvanpariya/top-5-on-leaderboard", "kernel_id": "10254741"}, {"ref": "davehurley/linear-tree-based-models-using-pipelines", "kernel_id": "10279579"}, {"ref": "elifapaydn/exercise-pipelines", "kernel_id": "10797281"}, {"ref": "dongkaiyuan/exercise-machine-learning-competitions", "kernel_id": "10916636"}, {"ref": "tubademir23/tubademir23-day9-your-first-machine-learning-model", "kernel_id": "10403809"}, {"ref": "esmabolat/exercise-model-validation", "kernel_id": "10528169"}, {"ref": "esmabolat/exercise-random-forests", "kernel_id": "10529537"}, {"ref": "esmabolat/exercise-underfitting-and-overfitting", "kernel_id": "10529358"}, {"ref": "esmabolat/exercise-your-first-machine-learning-model", "kernel_id": "10510288"}, {"ref": "esmabolat/exercise-categorical-variables", "kernel_id": "10612625"}, {"ref": "esmabolat/exercise-pipelines", "kernel_id": "10615767"}, {"ref": "esmabolat/exercise-missing-values", "kernel_id": "10598346"}, {"ref": "shaijudatascience/exercise-your-first-machine-learning-model", "kernel_id": "10465886"}, {"ref": "felipeavallejo/exercise-categorical-variables", "kernel_id": "10460167"}, {"ref": "felipeavallejo/exercise-pipelines", "kernel_id": "10478262"}, {"ref": "jaydewz/gridsearchcv-with-pipelines", "kernel_id": "10856535"}, {"ref": "razamh/my-first-housing-price-submission", "kernel_id": "10518794"}, {"ref": "jayeshkugsiya/exercise-machine-learning-competitions", "kernel_id": "10357511"}, {"ref": "swetapadmadalai/exercise-categorical-variables", "kernel_id": "10834883"}, {"ref": "swetapadmadalai/exercise-pipelines", "kernel_id": "10901467"}, {"ref": "swetapadmadalai/exercise-missing-values", "kernel_id": "10817771"}, {"ref": "swetapadmadalai/exercise-introduction", "kernel_id": "10800088"}, {"ref": "swetapadmadalai/exercise-machine-learning-competitions", "kernel_id": "10515318"}, {"ref": "swetapadmadalai/exercise-random-forests", "kernel_id": "10498936"}, {"ref": "swetapadmadalai/exercise-underfitting-and-overfitting", "kernel_id": "10493192"}, {"ref": "swetapadmadalai/exercise-model-validation", "kernel_id": "10449867"}, {"ref": "swetapadmadalai/exercise-your-first-machine-learning-model", "kernel_id": "10442248"}, {"ref": "dain5832/exercise-xgboost", "kernel_id": "10378519"}, {"ref": "dain5832/exercise-cross-validation", "kernel_id": "10377471"}, {"ref": "dain5832/exercise-pipelines", "kernel_id": "10376884"}, {"ref": "dain5832/exercise-data-leakage", "kernel_id": "10431198"}, {"ref": "dain5832/exercise-random-forests", "kernel_id": "10119472"}, {"ref": "dain5832/exercise-machine-learning-competitions", "kernel_id": "10119546"}, {"ref": "dain5832/exercise-your-first-machine-learning-model", "kernel_id": "10118951"}, {"ref": "dain5832/exercise-underfitting-and-overfitting", "kernel_id": "10119374"}, {"ref": "dain5832/exercise-categorical-variables", "kernel_id": "10236816"}, {"ref": "dain5832/exercise-missing-values", "kernel_id": "10230911"}, {"ref": "dain5832/exercise-introduction", "kernel_id": "10230409"}, {"ref": "jingnicai/exercise-machine-learning-competitions", "kernel_id": "10294038"}, {"ref": "chintanrabadiya/exercise-cross-validation", "kernel_id": "10560563"}, {"ref": "abhijeetkonduskar/exercise-categorical-variables", "kernel_id": "10440304"}, {"ref": "marcoandreose/exercise-machine-learning-competitions", "kernel_id": "10306128"}, {"ref": "tomaslautaroruffo/exercise-introduction", "kernel_id": "10046115"}, {"ref": "sampathgonnuru/exercise-cross-validation", "kernel_id": "10026585"}, {"ref": "sampathgonnuru/exercise-xgboost", "kernel_id": "10068962"}, {"ref": "yuvi07/kernel63aef3b730", "kernel_id": "10290101"}, {"ref": "yuvi07/exercise-pipelines", "kernel_id": "10257474"}, {"ref": "abbamuhammad/exercise-machine-learning-competitions", "kernel_id": "10173998"}, {"ref": "emmanuekanyinda/kernel9b29372644", "kernel_id": "10239875"}, {"ref": "michaklepacki/exercise-machine-learning-competitions", "kernel_id": "10789576"}, {"ref": "roewynumayam/exercise-machine-learning-competitions", "kernel_id": "10313383"}, {"ref": "donaldst/stackedregression", "kernel_id": "10364182"}, {"ref": "donaldst/stackingandensembling", "kernel_id": "10470861"}, {"ref": "arpitml/exercise-introduction", "kernel_id": "10162300"}, {"ref": "arpitml/exercise-pipelines", "kernel_id": "10221122"}, {"ref": "rohithkalvakota/housing-price-prediction", "kernel_id": "10533159"}, {"ref": "sanchit6448/exercise-random-forests", "kernel_id": "10614600"}, {"ref": "vishalsaraswat0312/exercise-underfitting-and-overfitting", "kernel_id": "10039366"}, {"ref": "aytumamkolu/exercise-machine-learning-competitions", "kernel_id": "10526138"}, {"ref": "akshaymnaik/exercise-categorical-variables", "kernel_id": "10770613"}, {"ref": "akshaymnaik/exercise-missing-values", "kernel_id": "10690662"}, {"ref": "akshaymnaik/exercise-introduction", "kernel_id": "10685335"}, {"ref": "akshaymnaik/exercise-model-validation", "kernel_id": "10679672"}, {"ref": "akshaymnaik/exercise-underfitting-and-overfitting", "kernel_id": "10680412"}, {"ref": "akshaymnaik/exercise-random-forests", "kernel_id": "10681048"}, {"ref": "akshaymnaik/exercise-machine-learning-competitions", "kernel_id": "10681109"}, {"ref": "akshaymnaik/exercise-your-first-machine-learning-model", "kernel_id": "10672149"}, {"ref": "gabrielkamkar/exercise-missing-values", "kernel_id": "10907784"}, {"ref": "tanvikulkarni96/exercise-machine-learning-competitions", "kernel_id": "10773804"}, {"ref": "dubeysachin752/exercise-categorical-variables", "kernel_id": "10611405"}, {"ref": "gauravsinghdeo/journey-to-top-10-in-housing-prices-competition", "kernel_id": "10420977"}, {"ref": "aabritishrestha/exercise-machine-learning-competitions", "kernel_id": "10948817"}, {"ref": "avimehta14/ml-handling-missing-values-in-data-sets", "kernel_id": "10996671"}, {"ref": "avimehta14/random-forests", "kernel_id": "10929193"}, {"ref": "avimehta14/ml-model-validation", "kernel_id": "10898971"}, {"ref": "jo4opedro/exercise-machine-learning-competitions", "kernel_id": "10068369"}, {"ref": "liuray/exercise-machine-learning-competitions", "kernel_id": "10148950"}, {"ref": "kenzo001/exercise-introduction", "kernel_id": "10601151"}, {"ref": "ahmadmayhoub/exercise-machine-learning-competitions", "kernel_id": "10347282"}, {"ref": "jayalakshmivenk/exercise-your-first-machine-learning-model", "kernel_id": "10523824"}, {"ref": "debbiswas07/exercise-machine-learning-competitions", "kernel_id": "10293640"}, {"ref": "debbiswas07/exercise-your-first-machine-learning-model", "kernel_id": "10289252"}, {"ref": "debbiswas07/exercise-random-forests", "kernel_id": "10293562"}, {"ref": "debbiswas07/exercise-model-validation", "kernel_id": "10292875"}, {"ref": "debbiswas07/exercise-underfitting-and-overfitting", "kernel_id": "10293204"}, {"ref": "vedanttripathi/exercise-machine-learning-competitions", "kernel_id": "10645560"}, {"ref": "vedanttripathi/exercise-missing-values", "kernel_id": "10703425"}, {"ref": "vedanttripathi/exercise-categorical-variables", "kernel_id": "10763304"}, {"ref": "vedanttripathi/exercise-pipelines", "kernel_id": "10773494"}, {"ref": "vedanttripathi/exercise-cross-validation", "kernel_id": "10777343"}, {"ref": "josehenriqueroveda/exercise-machine-learning-competitions", "kernel_id": "10539334"}, {"ref": "silvarodrigo/exercise-pipelines", "kernel_id": "10659635"}, {"ref": "silvarodrigo/exercise-categorical-variables", "kernel_id": "10603023"}, {"ref": "silvarodrigo/exercise-missing-values", "kernel_id": "10585032"}, {"ref": "silvarodrigo/exercise-introduction", "kernel_id": "10568044"}, {"ref": "silvarodrigo/exercise-cross-validation", "kernel_id": "10678620"}, {"ref": "bhavinmoriya/exercise-missing-values", "kernel_id": "10244667"}, {"ref": "jillurrahaman/exercise-missing-values", "kernel_id": "10361270"}, {"ref": "jillurrahaman/exercise-categorical-variables", "kernel_id": "10653355"}, {"ref": "balamuruganvasudevan/exercise-your-first-machine-learning-model", "kernel_id": "10143545"}, {"ref": "rathimadhav/exercise-model-validation", "kernel_id": "10032501"}, {"ref": "seday97/exercise-your-first-machine-learning-model", "kernel_id": "10445261"}, {"ref": "seday97/exercise-model-validation", "kernel_id": "10445743"}, {"ref": "seday97/exercise-random-forests", "kernel_id": "10479806"}, {"ref": "seday97/exercise-machine-learning-competitions", "kernel_id": "10479871"}, {"ref": "seday97/exercise-underfitting-and-overfitting", "kernel_id": "10472589"}, {"ref": "seday97/exercise-introduction", "kernel_id": "10577740"}, {"ref": "madhveesachdeva/exercise-pipelines", "kernel_id": "10156542"}, {"ref": "najmusshayadat/exercise-machine-learning-competitions", "kernel_id": "10837631"}, {"ref": "sitembari/exercise-underfitting-and-overfitting", "kernel_id": "10491838"}, {"ref": "sitembari/exercise-model-validation", "kernel_id": "10488828"}, {"ref": "sitembari/exercise-your-first-machine-learning-model", "kernel_id": "10475707"}, {"ref": "komalvishwakarma/exercise-underfitting-and-overfitting", "kernel_id": "10304930"}, {"ref": "komalvishwakarma/exercise-random-forests", "kernel_id": "10322523"}, {"ref": "komalvishwakarma/exercise-model-validation", "kernel_id": "10304091"}, {"ref": "komalvishwakarma/exercise-introduction", "kernel_id": "10364271"}, {"ref": "komalvishwakarma/exercise-missing-values", "kernel_id": "10381025"}, {"ref": "komalvishwakarma/exercise-machine-learning-competitions", "kernel_id": "10360396"}, {"ref": "gborikar/exercise-categorical-variables", "kernel_id": "10577394"}, {"ref": "syrok94/exercise-machine-learning-competitions", "kernel_id": "10186919"}, {"ref": "kaggleofnise2/exercise-random-forests", "kernel_id": "10132975"}, {"ref": "kaggleofnise2/exercise-model-validation", "kernel_id": "10115908"}, {"ref": "kaggleofnise2/exercise-your-first-machine-learning-model", "kernel_id": "10115233"}, {"ref": "saitejasmopuri/exercise-xgboost", "kernel_id": "10690941"}, {"ref": "sulthankhan/exercise-machine-learning-competitions", "kernel_id": "10904908"}, {"ref": "nurulfarahain/exercise-introduction", "kernel_id": "10046918"}, {"ref": "shivanisinghsisodia/exercise-categorical-variables", "kernel_id": "10673481"}, {"ref": "shivanisinghsisodia/exercise-xgboost", "kernel_id": "10757004"}, {"ref": "petroleinikov/exercise-machine-learning-competitions", "kernel_id": "10559581"}, {"ref": "hiratuna/exercise-machine-learning-competitions", "kernel_id": "10968489"}, {"ref": "vishnugopalvg/exercise-introduction", "kernel_id": "10010076"}, {"ref": "brenda89/exercise-missing-values", "kernel_id": "10119360"}, {"ref": "brenda89/exercise-categorical-variables", "kernel_id": "10140118"}, {"ref": "nsds16/exercise-machine-learning-competitions", "kernel_id": "10521494"}, {"ref": "rohanjadhava/exercise-machine-learning-competitions", "kernel_id": "10055770"}, {"ref": "shrutims/fork-of-exercise-introduction", "kernel_id": "10972980"}, {"ref": "shrutims/exercise-introduction", "kernel_id": "10953259"}, {"ref": "nickpalko/exercise-machine-learning-competitions", "kernel_id": "10331461"}, {"ref": "anshulkataria/exercise-introduction", "kernel_id": "10089869"}, {"ref": "anshulkataria/exercise-missing-values", "kernel_id": "10090105"}, {"ref": "anshulkataria/exercise-random-forests", "kernel_id": "10078741"}, {"ref": "anshulkataria/exercise-model-validation", "kernel_id": "10078214"}, {"ref": "anshulkataria/exercise-underfitting-and-overfitting", "kernel_id": "10078525"}, {"ref": "anshulkataria/exercise-your-first-machine-learning-model", "kernel_id": "10077622"}, {"ref": "anshulkataria/exercise-pipelines", "kernel_id": "10531728"}, {"ref": "anshulkataria/exercise-categorical-variables", "kernel_id": "10455365"}, {"ref": "pranjalt/house-price-prediction", "kernel_id": "10515373"}, {"ref": "artisikhwal/exercise-machine-learning-competitions", "kernel_id": "10232167"}, {"ref": "aymaneelbouchibti/housing-prices-competition-15143", "kernel_id": "10813796"}, {"ref": "alecerte/exercise-model-validation", "kernel_id": "10135806"}, {"ref": "yinkaabiola/exercise-machine-learning-competitions", "kernel_id": "10144245"}, {"ref": "sushmanagnathjinkale/exercise-model-validation", "kernel_id": "10458873"}, {"ref": "sushmanagnathjinkale/exercise-random-forests", "kernel_id": "10460780"}, {"ref": "sushmanagnathjinkale/exercise-underfitting-and-overfitting", "kernel_id": "10460292"}, {"ref": "brandonbest/exercise-pipelines", "kernel_id": "10210735"}, {"ref": "muhsen84/exercise-machine-learning-competitions", "kernel_id": "10222971"}, {"ref": "furkankavakl/exercise-categorical-variables", "kernel_id": "10608535"}, {"ref": "furkankavakl/exercise-pipelines", "kernel_id": "10616887"}, {"ref": "furkankavakl/exercise-introduction", "kernel_id": "10589476"}, {"ref": "furkankavakl/exercise-missing-values", "kernel_id": "10599351"}, {"ref": "bharathvittal/exercise-your-first-machine-learning-model", "kernel_id": "10272222"}, {"ref": "bharathvittal/exercise-model-validation", "kernel_id": "10272607"}, {"ref": "bharathvittal/exercise-categorical-variables", "kernel_id": "10341457"}, {"ref": "bharathvittal/exercise-machine-learning-competitions", "kernel_id": "10323435"}, {"ref": "bharathvittal/exercise-introduction", "kernel_id": "10327591"}, {"ref": "bharathvittal/exercise-missing-values", "kernel_id": "10328305"}, {"ref": "bharathvittal/exercise-random-forests", "kernel_id": "10323385"}, {"ref": "bharathvittal/exercise-underfitting-and-overfitting", "kernel_id": "10323084"}, {"ref": "bharathvittal/exercise-data-leakage", "kernel_id": "10793090"}, {"ref": "bharathvittal/exercise-cross-validation", "kernel_id": "10792185"}, {"ref": "bharathvittal/exercise-xgboost", "kernel_id": "10792498"}, {"ref": "bharathvittal/exercise-pipelines", "kernel_id": "10725631"}, {"ref": "gamalabdulsalam/housing-p-from-zero", "kernel_id": "10712876"}, {"ref": "dandapatsuman/exercise-machine-learning-competitions", "kernel_id": "10333768"}, {"ref": "davidbankson/exercise-machine-learning-competitions", "kernel_id": "10385368"}, {"ref": "xphn1985/exercise-categorical-variables", "kernel_id": "10111708"}, {"ref": "arch11/housing-data-kaggle-learn-top-2", "kernel_id": "10492273"}, {"ref": "amitjadhavv/exercise-xgboost", "kernel_id": "10588073"}, {"ref": "amitjadhavv/exercise-missing-values", "kernel_id": "10449370"}, {"ref": "amitjadhavv/exercise-introduction", "kernel_id": "10448963"}, {"ref": "amitjadhavv/exercise-categorical-variables", "kernel_id": "10483739"}, {"ref": "amitjadhavv/exercise-your-first-machine-learning-model", "kernel_id": "10343086"}, {"ref": "jibujohn/exercise-categorical-variables", "kernel_id": "10948929"}, {"ref": "jeelpareshshah/exercise-your-first-machine-learning-model", "kernel_id": "10520338"}, {"ref": "jeelpareshshah/exercise-model-validation", "kernel_id": "10705766"}, {"ref": "jeelpareshshah/exercise-random-forests", "kernel_id": "10848926"}, {"ref": "jeelpareshshah/exercise-machine-learning-competitions", "kernel_id": "10849226"}, {"ref": "jeelpareshshah/exercise-underfitting-and-overfitting", "kernel_id": "10848598"}, {"ref": "samhithavadlamani/exercise-categorical-variables", "kernel_id": "10617027"}, {"ref": "samhithavadlamani/exercise-cv-randomized-and-grid-search", "kernel_id": "10865572"}, {"ref": "poornimabhati/exercise-machine-learning-competitions", "kernel_id": "10660523"}, {"ref": "nihalhaboush/exercise-pipelines", "kernel_id": "10576131"}, {"ref": "nihalhaboush/exercise-categorical-variables", "kernel_id": "10574568"}, {"ref": "doaajaber/exercise-pipelines", "kernel_id": "10576507"}, {"ref": "doaajaber/exercise-underfitting-and-overfitting", "kernel_id": "10502432"}, {"ref": "doaajaber/exercise-missing-values", "kernel_id": "10539158"}, {"ref": "doaajaber/exercise-data-leakage", "kernel_id": "10665500"}, {"ref": "fayrouzfarra/exercise-xgboost", "kernel_id": "10730114"}, {"ref": "fayrouzfarra/exercise-underfitting-and-overfitting", "kernel_id": "10502787"}, {"ref": "fayrouzfarra/exercise-cross-validation", "kernel_id": "10576775"}, {"ref": "nahedalsharif/exercise-your-first-machine-learning-model", "kernel_id": "10454768"}, {"ref": "nahedalsharif/exercise-model-validation", "kernel_id": "10455310"}, {"ref": "nahedalsharif/exercise-introduction", "kernel_id": "10599007"}, {"ref": "nahedalsharif/exercise-pipelines", "kernel_id": "10576584"}, {"ref": "nahedalsharif/exercise-categorical-variables", "kernel_id": "10574615"}, {"ref": "nahedalsharif/exercise-underfitting-and-overfitting", "kernel_id": "10502558"}, {"ref": "nahedalsharif/exercise-random-forests", "kernel_id": "10504265"}, {"ref": "nahedalsharif/exercise-machine-learning-competitions", "kernel_id": "10504575"}, {"ref": "nahedalsharif/exercise-missing-values", "kernel_id": "10539212"}, {"ref": "nahedalsharif/exercise-data-leakage", "kernel_id": "10665496"}, {"ref": "nahedalsharif/exercise-cross-validation", "kernel_id": "10681352"}, {"ref": "nahedalsharif/exercise-xgboost", "kernel_id": "10682265"}, {"ref": "asiaahmedabushawish/exercise-categorical-variables", "kernel_id": "10539195"}, {"ref": "asiaahmedabushawish/exercise-missing-values", "kernel_id": "10539915"}, {"ref": "asiaahmedabushawish/exercise-random-forests", "kernel_id": "10504194"}, {"ref": "asiaahmedabushawish/exercise-machine-learning-competitions", "kernel_id": "10504320"}, {"ref": "asiaahmedabushawish/exercise-underfitting-and-overfitting", "kernel_id": "10502768"}, {"ref": "asiaahmedabushawish/exercise-pipelines", "kernel_id": "10576124"}, {"ref": "asiaahmedabushawish/exercise-cross-validation", "kernel_id": "10576533"}, {"ref": "asiaahmedabushawish/exercise-model-validation", "kernel_id": "10455269"}, {"ref": "asiaahmedabushawish/exercise-your-first-machine-learning-model", "kernel_id": "10454704"}, {"ref": "asiaahmedabushawish/exercise-xgboost", "kernel_id": "10751076"}, {"ref": "asiaahmedabushawish/exercise-data-leakage", "kernel_id": "10665482"}, {"ref": "asiaahmedabushawish/exercise-introduction", "kernel_id": "10745261"}, {"ref": "osvaldotrejo/kernel3c024e0365", "kernel_id": "10299147"}, {"ref": "abdalazez/exercise-underfitting-and-overfitting", "kernel_id": "10307196"}, {"ref": "abdalazez/exercise-model-validation", "kernel_id": "10306559"}, {"ref": "abdalazez/exercise-your-first-machine-learning-model", "kernel_id": "10267995"}, {"ref": "abdalazez/exercise-cross-validation", "kernel_id": "10393338"}, {"ref": "abdalazez/exercise-xgboost", "kernel_id": "10394370"}, {"ref": "abdalazez/exercise-data-leakage", "kernel_id": "10420202"}, {"ref": "abdalazez/exercise-introduction", "kernel_id": "10359288"}, {"ref": "abdalazez/exercise-missing-values", "kernel_id": "10360023"}, {"ref": "abdalazez/exercise-random-forests", "kernel_id": "10351725"}, {"ref": "abdalazez/exercise-machine-learning-competitions", "kernel_id": "10351773"}, {"ref": "abdalazez/exercise-categorical-variables", "kernel_id": "10367422"}, {"ref": "abdalazez/home-prices-with-keras-2", "kernel_id": "10682346"}, {"ref": "abdalazez/home-prices-with-keras", "kernel_id": "10681678"}, {"ref": "mahmoudalhallaq/house-price-mahmoud", "kernel_id": "10554666"}, {"ref": "mahmoudalhallaq/exercise-missing-values", "kernel_id": "10367774"}, {"ref": "mahmoudalhallaq/fork-of-exercise-missing-values", "kernel_id": "10368062"}, {"ref": "mahmoudalhallaq/exercise-introduction", "kernel_id": "10359266"}, {"ref": "mahmoudalhallaq/exercise-machine-learning-competitions", "kernel_id": "10358541"}, {"ref": "mahmoudalhallaq/exercise-random-forests", "kernel_id": "10358462"}, {"ref": "mahmoudalhallaq/exercise-data-leakage", "kernel_id": "10409885"}, {"ref": "mahmoudalhallaq/exercise-xgboost", "kernel_id": "10394608"}, {"ref": "mahmoudalhallaq/exercise-cross-validation", "kernel_id": "10393355"}, {"ref": "mahmoudalhallaq/exercise-categorical-variables", "kernel_id": "10391407"}, {"ref": "mahmoudalhallaq/exercise-pipelines", "kernel_id": "10391872"}, {"ref": "mahmoudalhallaq/fork-of-exercise-machine-learning-competitions", "kernel_id": "10383469"}, {"ref": "mahmoudalhallaq/exercise-your-first-machine-learning-model", "kernel_id": "10268741"}, {"ref": "mahmoudalhallaq/exercise-underfitting-and-overfitting", "kernel_id": "10307313"}, {"ref": "mahmoudalhallaq/exercise-model-validation", "kernel_id": "10306568"}, {"ref": "kareemaburejila/exercise-underfitting-and-overfitting-f99077", "kernel_id": "10307353"}, {"ref": "kareemaburejila/exercise-underfitting-and-overfitting", "kernel_id": "10307350"}, {"ref": "kareemaburejila/exercise-your-first-machine-learning-model", "kernel_id": "10267991"}, {"ref": "kareemaburejila/exercise-data-leakage", "kernel_id": "10429415"}, {"ref": "kareemaburejila/exercise-xgboost", "kernel_id": "10429351"}, {"ref": "kareemaburejila/exercise-categorical-variables", "kernel_id": "10392474"}, {"ref": "kareemaburejila/exercise-pipelines", "kernel_id": "10392480"}, {"ref": "kareemaburejila/exercise-cross-validation", "kernel_id": "10393337"}, {"ref": "kareemaburejila/exercise-house-price-xgboost-gridsearch", "kernel_id": "10358567"}, {"ref": "kareemaburejila/exercise-model-validation", "kernel_id": "10359204"}, {"ref": "kareemaburejila/exercise-random-forests", "kernel_id": "10358455"}, {"ref": "kareemaburejila/exercise-introduction", "kernel_id": "10359619"}, {"ref": "kareemaburejila/exercise-missing-values", "kernel_id": "10360330"}, {"ref": "kareemaburejila/house-price-xgboost-gridsearch", "kernel_id": "10601969"}, {"ref": "kareemaburejila/house-price-competition", "kernel_id": "10590863"}, {"ref": "islammohaisen/home-price-competition-rf", "kernel_id": "10360173"}, {"ref": "islammohaisen/exercise-machine-learning-competitions", "kernel_id": "10351575"}, {"ref": "islammohaisen/home-price-xgboost", "kernel_id": "10770049"}, {"ref": "zakariatafesh/exercise-missing-values", "kernel_id": "10360159"}, {"ref": "zakariatafesh/exercise-introduction", "kernel_id": "10359244"}, {"ref": "zakariatafesh/exercise-machine-learning-competitions", "kernel_id": "10358524"}, {"ref": "zakariatafesh/exercise-cross-validation", "kernel_id": "10393358"}, {"ref": "zakariatafesh/exercise-categorical-variables", "kernel_id": "10392219"}, {"ref": "zakariatafesh/exercise-pipelines", "kernel_id": "10468930"}, {"ref": "zakariatafesh/exercise-xgboost", "kernel_id": "10469056"}, {"ref": "zakariatafesh/exercise-data-leakage", "kernel_id": "10469127"}, {"ref": "zakariatafesh/exercise-your-first-machine-learning-model", "kernel_id": "10175320"}, {"ref": "zakariatafesh/exercise-underfitting-and-overfitting", "kernel_id": "10307352"}, {"ref": "zakariatafesh/exercise-model-validation", "kernel_id": "10306562"}, {"ref": "zakariatafesh/exercise-random-forests", "kernel_id": "10334021"}, {"ref": "raghadjaber/house-price-regression-with-keras", "kernel_id": "10681592"}, {"ref": "raghadjaber/exercise-model-validation", "kernel_id": "10306578"}, {"ref": "raghadjaber/exercise-underfitting-and-overfitting", "kernel_id": "10307323"}, {"ref": "raghadjaber/exercise-your-first-machine-learning-model", "kernel_id": "10268376"}, {"ref": "raghadjaber/exercise-pipelines", "kernel_id": "10392030"}, {"ref": "raghadjaber/exercise-categorical-variables", "kernel_id": "10385400"}, {"ref": "raghadjaber/exercise-cross-validation", "kernel_id": "10393331"}, {"ref": "raghadjaber/exercise-xgboost", "kernel_id": "10394365"}, {"ref": "raghadjaber/exercise-data-leakage", "kernel_id": "10408276"}, {"ref": "raghadjaber/exercise-random-forests", "kernel_id": "10358429"}, {"ref": "raghadjaber/exercise-machine-learning-competitions", "kernel_id": "10358098"}, {"ref": "raghadjaber/exercise-introduction", "kernel_id": "10359620"}, {"ref": "raghadjaber/exercise-missing-values", "kernel_id": "10360199"}, {"ref": "raghadjaber/xgboosting-for-house-price", "kernel_id": "10554678"}, {"ref": "mohgsam/exercise-random-forests", "kernel_id": "10358445"}, {"ref": "mohgsam/exercise-machine-learning-competitions", "kernel_id": "10358877"}, {"ref": "mohgsam/exercise-xgboost", "kernel_id": "10394368"}, {"ref": "mohgsam/exercise-cross-validation", "kernel_id": "10393350"}, {"ref": "mohgsam/exercise-data-leakage", "kernel_id": "10394764"}, {"ref": "mohgsam/exercise-pipelines", "kernel_id": "10392061"}, {"ref": "mohgsam/exercise-categorical-variables", "kernel_id": "10391381"}, {"ref": "mohgsam/exercise-underfitting-and-overfitting", "kernel_id": "10307349"}, {"ref": "mohgsam/exercise-model-validation", "kernel_id": "10306601"}, {"ref": "mohgsam/exercise-your-first-machine-learning-model", "kernel_id": "10331597"}, {"ref": "mohgsam/exercise-missing-values", "kernel_id": "10266813"}, {"ref": "mohgsam/exercise-introduction", "kernel_id": "10266850"}, {"ref": "mohgsam/house-price-comp-keras", "kernel_id": "10681688"}, {"ref": "ahmedmurad1990/exercise-your-first-machine-learning-model", "kernel_id": "10268375"}, {"ref": "ahmedmurad1990/exercise-underfitting-and-overfitting", "kernel_id": "10307301"}, {"ref": "ahmedmurad1990/exercise-random-forests", "kernel_id": "10307464"}, {"ref": "ahmedmurad1990/exercise-model-validation", "kernel_id": "10306554"}, {"ref": "ahmedmurad1990/exercise-pipelines", "kernel_id": "10391903"}, {"ref": "ahmedmurad1990/exercise-cross-validation", "kernel_id": "10393330"}, {"ref": "ahmedmurad1990/exercise-missing-values", "kernel_id": "10385038"}, {"ref": "ahmedmurad1990/exercise-data-leakage", "kernel_id": "10394675"}, {"ref": "ahmedmurad1990/exercise-xgboost", "kernel_id": "10394450"}, {"ref": "ahmedmurad1990/exercise-introduction", "kernel_id": "10379393"}, {"ref": "ahmedmurad1990/exercise-machine-learning-competitions", "kernel_id": "10379071"}, {"ref": "ahmedmurad1990/exercise-categorical-variables", "kernel_id": "10380046"}, {"ref": "martinvarelaaaa/exercise-categorical-variables", "kernel_id": "10547530"}, {"ref": "krayfishokrayfish/fork-of-exercise-machine-learning-competitions", "kernel_id": "10612644"}, {"ref": "mohammedkuheil/exercise-underfitting-and-overfitting", "kernel_id": "10307321"}, {"ref": "mohammedkuheil/exercise-xgboost", "kernel_id": "10541548"}, {"ref": "mohammedkuheil/exercise-missing-values", "kernel_id": "10403579"}, {"ref": "mohammedkuheil/exercise-cross-validation", "kernel_id": "10393348"}, {"ref": "mohammedkuheil/exercise-pipelines", "kernel_id": "10392223"}, {"ref": "mohammedkuheil/exercise-categorical-variables", "kernel_id": "10391460"}, {"ref": "mohammedkuheil/exercise-model-validation", "kernel_id": "10364010"}, {"ref": "mohammedkuheil/exercise-random-forests", "kernel_id": "10358453"}, {"ref": "mohammedkuheil/exercise-introduction", "kernel_id": "10359467"}, {"ref": "mohammedkuheil/exercise-your-first-machine-learning-model-ae82e9", "kernel_id": "10350109"}, {"ref": "nikunjtiwari/exercise-machine-learning-competitions", "kernel_id": "10488033"}, {"ref": "vikrantdeshpande098/housing-rate-predictions-a-newbie-approach", "kernel_id": "10187468"}, {"ref": "aidaerde/exercise-machine-learning-competitions", "kernel_id": "10929275"}, {"ref": "gourishankaragrawal/exercise-model-validation", "kernel_id": "10768558"}, {"ref": "gourishankaragrawal/exercise-your-first-machine-learning-model", "kernel_id": "10753039"}, {"ref": "krati1999/exercise-machine-learning-competitions", "kernel_id": "10904179"}, {"ref": "engnadersarsour/exercise-underfitting-and-overfitting", "kernel_id": "10307376"}, {"ref": "engnadersarsour/exercise-model-validation", "kernel_id": "10306574"}, {"ref": "engnadersarsour/exercise-your-first-machine-learning-model", "kernel_id": "10268389"}, {"ref": "engnadersarsour/exercise-machine-learning-competitions", "kernel_id": "10267043"}, {"ref": "engnadersarsour/exercise-pipelines", "kernel_id": "10392009"}, {"ref": "engnadersarsour/exercise-cross-validation", "kernel_id": "10393353"}, {"ref": "engnadersarsour/exercise-data-leakage", "kernel_id": "10394660"}, {"ref": "engnadersarsour/exercise-xgboost", "kernel_id": "10394771"}, {"ref": "engnadersarsour/exercise-missing-values", "kernel_id": "10359910"}, {"ref": "engnadersarsour/exercise-introduction", "kernel_id": "10359758"}, {"ref": "engnadersarsour/exercise-random-forests", "kernel_id": "10358500"}, {"ref": "engnadersarsour/exercise-categorical-variables", "kernel_id": "10364448"}, {"ref": "engnadersarsour/exercise-categorical-variables-3c10aa", "kernel_id": "10364450"}, {"ref": "engnadersarsour/kernel4fc54854e5", "kernel_id": "10888008"}, {"ref": "engnadersarsour/home-price-competitions", "kernel_id": "10888032"}, {"ref": "engnadersarsour/homepricecompetition", "kernel_id": "10888267"}, {"ref": "maimahdi/exercise-random-forests", "kernel_id": "10364601"}, {"ref": "maimahdi/exercise-categorical-variables", "kernel_id": "10384594"}, {"ref": "maimahdi/exercise-missing-values", "kernel_id": "10383052"}, {"ref": "maimahdi/exercise-cross-validation", "kernel_id": "10393325"}, {"ref": "gkalpolukcu/house-pricing-ultimate-guide-research-analysis", "kernel_id": "10665704"}, {"ref": "shahriarferdoush/exercise-model-validation", "kernel_id": "10410084"}, {"ref": "shahriarferdoush/exercise-your-first-machine-learning-model", "kernel_id": "10409881"}, {"ref": "maheshphutane/exercise-machine-learning-competitions", "kernel_id": "10282621"}, {"ref": "pathikghugare/exercise-machine-learning-competitions", "kernel_id": "10491826"}, {"ref": "jaidevchittoria/housing-competition-using-xgbr-model", "kernel_id": "10352329"}, {"ref": "michaeldockery/exercise-categorical-variables", "kernel_id": "10869190"}, {"ref": "outmanhoummada/exercise-machine-learning-competitions", "kernel_id": "10405480"}, {"ref": "hanantabak/house-prices", "kernel_id": "10819478"}, {"ref": "hanantabak/exercise-pipelines", "kernel_id": "10766476"}, {"ref": "erfanmohammadian/exercise-missing-values", "kernel_id": "10940603"}, {"ref": "lingyuxiong/gradient-boosting-top-3", "kernel_id": "10355112"}, {"ref": "frederictchuisseu/exercise-categorical-variables", "kernel_id": "10760826"}, {"ref": "adityaalpha01/exercise-xgboost", "kernel_id": "10745278"}, {"ref": "eliftonbul/exercise-model-validation", "kernel_id": "10455888"}, {"ref": "mridulmanas/exercise-machine-learning-competitions", "kernel_id": "10404077"}, {"ref": "mitcherekson/exercise-machine-learning-competitions", "kernel_id": "10991752"}, {"ref": "xman2020/exercise-machine-learning-competitions", "kernel_id": "10427603"}, {"ref": "yazganmelih/exercise-machine-learning-competitions", "kernel_id": "10489055"}, {"ref": "emanuelkitzelmann/upd-interm-ml-course-wrap-up-mae-13031-top-2", "kernel_id": "10527672"}, {"ref": "ahmedelagamy/kaggle-housing-price-competition", "kernel_id": "10444691"}, {"ref": "stanleyhua/exercise-xgboost", "kernel_id": "10677026"}, {"ref": "akash15kr/exercise-your-first-machine-learning-model", "kernel_id": "10430017"}, {"ref": "eutkubican/exercise-your-first-machine-learning-model", "kernel_id": "10454210"}, {"ref": "eutkubican/exercise-model-validation", "kernel_id": "10475869"}, {"ref": "eutkubican/exercise-underfitting-and-overfitting", "kernel_id": "10501827"}, {"ref": "eutkubican/exercise-random-forests", "kernel_id": "10502165"}, {"ref": "eutkubican/exercise-pipelines", "kernel_id": "10984356"}, {"ref": "eutkubican/exercise-categorical-variables", "kernel_id": "10983270"}, {"ref": "eutkubican/exercise-missing-values", "kernel_id": "10795512"}, {"ref": "zahidahmedmar/exercise-random-forests", "kernel_id": "10495446"}, {"ref": "zahidahmedmar/exercise-machine-learning-competitions", "kernel_id": "10495452"}, {"ref": "zahidahmedmar/exercise-your-first-machine-learning-model", "kernel_id": "10495401"}, {"ref": "zahidahmedmar/exercise-model-validation", "kernel_id": "10495420"}, {"ref": "zahidahmedmar/exercise-underfitting-and-overfitting", "kernel_id": "10495437"}, {"ref": "maevehutchinson/exercise-introduction", "kernel_id": "10900870"}, {"ref": "maevehutchinson/exercise-missing-values", "kernel_id": "10906334"}, {"ref": "maevehutchinson/exercise-machine-learning-competitions", "kernel_id": "10820738"}, {"ref": "miguelrosales/exercise-model-validation", "kernel_id": "10550619"}, {"ref": "miguelrosales/exercise-machine-learning-competitions", "kernel_id": "10551295"}, {"ref": "miguelrosales/exercise-underfitting-and-overfitting", "kernel_id": "10551056"}, {"ref": "brandenrushton/exercise-machine-learning-competitions", "kernel_id": "10767673"}, {"ref": "filipjuric/exercise-introduction", "kernel_id": "10829789"}, {"ref": "vet516lec/top-6-ensemble-xgboost-lightgbm", "kernel_id": "10631215"}, {"ref": "harshitsharma45/exercise-missing-values", "kernel_id": "10974523"}, {"ref": "harshitsharma45/exercise-introduction", "kernel_id": "10940577"}, {"ref": "ibrahimnofal/stackingandensembling", "kernel_id": "10709124"}, {"ref": "hammaadali/house-prices-competition-kernel-top-3", "kernel_id": "10752171"}, {"ref": "doaadoaa/exercise-your-first-machine-learning-model", "kernel_id": "10959197"}, {"ref": "doaadoaa/exercise-model-validation", "kernel_id": "10791872"}, {"ref": "sanjaythorat/exercise-missing-values", "kernel_id": "10720245"}, {"ref": "sanjaythorat/exercise-categorical-variables", "kernel_id": "10724227"}, {"ref": "arjunjames/exercise-machine-learning-competitions", "kernel_id": "10760613"}, {"ref": "waleedkhan860/exercise-categorical-variables", "kernel_id": "10840706"}, {"ref": "marcoxoca/exercise-introduction", "kernel_id": "10959152"}, {"ref": "marcoxoca/exercise-missing-values", "kernel_id": "10959356"}, {"ref": "harishchoubisa/exercise-underfitting-and-overfitting", "kernel_id": "10820298"}, {"ref": "jonathanfilbert/exercise-introduction", "kernel_id": "10744542"}, {"ref": "baileighcordice/exercise-machine-learning-competitions", "kernel_id": "10852279"}, {"ref": "keyurparekh/exercise-machine-learning-competitions", "kernel_id": "10830885"}, {"ref": "tahatouihri/exercise-xgboost", "kernel_id": "10964244"}, {"ref": "dangeorge/exercise-your-first-machine-learning-model", "kernel_id": "10936112"}, {"ref": "aniruddhmaitra/exercise-machine-learning-competitions", "kernel_id": "10935037"}, {"ref": "harish2rb/exercise-cross-validation", "kernel_id": "11198277"}, {"ref": "harish2rb/exercise-pipelines", "kernel_id": "11197874"}, {"ref": "harish2rb/exercise-your-first-machine-learning-model", "kernel_id": "11189725"}, {"ref": "harish2rb/exercise-model-validation", "kernel_id": "11189815"}, {"ref": "harish2rb/exercise-random-forests", "kernel_id": "11190002"}, {"ref": "fikre1/exercise-introduction", "kernel_id": "11004647"}, {"ref": "vivekray30/exercise-machine-learning-competitions", "kernel_id": "11420674"}, {"ref": "raisa3006/exercise-categorical-variables", "kernel_id": "11021841"}, {"ref": "raisa3006/exercise-introduction", "kernel_id": "11017059"}, {"ref": "raisa3006/exercise-missing-values", "kernel_id": "11017887"}, {"ref": "germanchaparro/housing-prices-competition", "kernel_id": "11996990"}, {"ref": "georgezoto/intro-to-ml-your-first-machine-learning-model", "kernel_id": "11993029"}, {"ref": "georgezoto/intro-to-ml-model-validation", "kernel_id": "11993612"}, {"ref": "dnovik/exercise-machine-learning-competitions", "kernel_id": "11163175"}, {"ref": "lucamancinelli/exercise-machine-learning-competitions", "kernel_id": "11609211"}, {"ref": "essene/exercise-your-first-machine-learning-model", "kernel_id": "11295733"}, {"ref": "vijilaks/exercise-missing-values", "kernel_id": "11526349"}, {"ref": "prkaushik/exercise-underfitting-and-overfitting", "kernel_id": "11147192"}, {"ref": "aarthikannan/exercise-your-first-machine-learning-model", "kernel_id": "11219504"}, {"ref": "aarthikannan/exercise-underfitting-and-overfitting", "kernel_id": "11219922"}, {"ref": "aarthikannan/exercise-machine-learning-competitions", "kernel_id": "11220055"}, {"ref": "lilprince/exercise-categorical-variables", "kernel_id": "11001844"}, {"ref": "jnegrini/iowa-house-market-data-analysis", "kernel_id": "11368997"}, {"ref": "hyamine/exercise-categorical-variables", "kernel_id": "11726429"}, {"ref": "jhony1/basic-exploratory-data-analysis", "kernel_id": "11407421"}, {"ref": "lerozo/confusing-notebook", "kernel_id": "11459463"}, {"ref": "guidolino/house-modeling-first-view", "kernel_id": "11151590"}, {"ref": "samrat96/house-price-prediction-notebook", "kernel_id": "11153176"}, {"ref": "hwangknock/modeling-practice-ridge-with-fe-1hot-scaling", "kernel_id": "11801095"}, {"ref": "adityarethe/exercise-introduction", "kernel_id": "11192258"}, {"ref": "anjalitwt/exercise-missing-values", "kernel_id": "11083451"}, {"ref": "anjalitwt/exercise-machine-learning-competitions", "kernel_id": "11066540"}, {"ref": "xiaolli/exercise-categorical-variables", "kernel_id": "11454151"}, {"ref": "ozcan15/exercise-xgboost", "kernel_id": "11345011"}, {"ref": "venkatadj/house-price-predictions", "kernel_id": "11403562"}, {"ref": "rajeshkumarkarra/exercise-missing-values", "kernel_id": "11151975"}, {"ref": "alexisbcook/machine-learning-competitions", "kernel_id": "11795630"}, {"ref": "vigneshprakash/exercise-introduction", "kernel_id": "11113954"}, {"ref": "sober123/exercise-machine-learning-competitions", "kernel_id": "11306161"}, {"ref": "shubham08jha/exercise-random-forests", "kernel_id": "11704547"}, {"ref": "daveylgy/exercise-your-first-machine-learning-model", "kernel_id": "11624797"}, {"ref": "daveylgy/exercise-model-validation", "kernel_id": "11668774"}, {"ref": "daveylgy/exercise-machine-learning-competitions", "kernel_id": "11850237"}, {"ref": "daveylgy/exercise-underfitting-and-overfitting", "kernel_id": "11788079"}, {"ref": "adithphilip/exercise-machine-learning-competitions", "kernel_id": "11762166"}, {"ref": "shuchita008/house-pricing-for-beginner", "kernel_id": "11376738"}, {"ref": "shuchita008/exercise-your-first-machine-learning-model", "kernel_id": "11285607"}, {"ref": "kadij001/exercise-machine-learning-competitions", "kernel_id": "11352371"}, {"ref": "pandeyshivansh/housing-prices-prediction-notebook", "kernel_id": "11224998"}, {"ref": "saikatb1/exercise-random-forests", "kernel_id": "11561796"}, {"ref": "imshakil/exercise-eda-visualize-rf", "kernel_id": "11015325"}, {"ref": "dmoneyballer/exercise-xgboost", "kernel_id": "11758191"}, {"ref": "ikraminf/exercise-your-first-machine-learning-model-f07b62", "kernel_id": "11200209"}, {"ref": "giuliogiuliogiulio/your-first-machine-learning-model-scikit-learn", "kernel_id": "11934568"}, {"ref": "mdfahimreshm/learn-the-ml-part-i", "kernel_id": "11634477"}, {"ref": "apucse/housing-price-prediction-top-2", "kernel_id": "11132899"}, {"ref": "stas2328/dot-plot-graph-in-python", "kernel_id": "11507373"}, {"ref": "stas2328/basic-exploratory-data-analysis", "kernel_id": "11425410"}, {"ref": "hasanwidjaya/exercise-underfitting-and-overfitting", "kernel_id": "11466872"}, {"ref": "hasanwidjaya/exercise-random-forests", "kernel_id": "11482443"}, {"ref": "ankitaagr/exercise-cross-validation", "kernel_id": "11002822"}, {"ref": "mani97/exercise2-6-xgboost-model-course", "kernel_id": "11667680"}, {"ref": "mani97/exercise2-my-first-machine-learning-model", "kernel_id": "11659077"}, {"ref": "mani97/exercise3-model-validation", "kernel_id": "11659322"}, {"ref": "mani97/exercise5-random-forests", "kernel_id": "11659703"}, {"ref": "mani97/exercise6-machine-learning-competition-course", "kernel_id": "11659747"}, {"ref": "mani97/exercise4-underfitting-and-overfitting", "kernel_id": "11659589"}, {"ref": "ishannfs/xgboost-with-gridsearchcv", "kernel_id": "11320852"}, {"ref": "jaortiz5/exercise-model-validation", "kernel_id": "11959457"}, {"ref": "jun0924/house-price-prediction", "kernel_id": "11757207"}, {"ref": "shubrajain99/exercise-random-forests", "kernel_id": "11238778"}, {"ref": "shubrajain99/exercise-underfitting-and-overfitting", "kernel_id": "11198128"}, {"ref": "shubrajain99/machine-learning-competitions", "kernel_id": "11191673"}, {"ref": "shubrajain99/houseing-price-prediction-explained", "kernel_id": "11285944"}, {"ref": "burcintc/exercise-pipelines", "kernel_id": "11320758"}, {"ref": "burcintc/exercise-machine-learning-competitions", "kernel_id": "11170474"}, {"ref": "mkahraman19/your-first-machine-learning-model", "kernel_id": "11868930"}, {"ref": "mkahraman19/random-forests", "kernel_id": "11869444"}, {"ref": "mkahraman19/model-validation", "kernel_id": "11869026"}, {"ref": "mkahraman19/underfitting-and-overfitting", "kernel_id": "11869131"}, {"ref": "mkahraman19/cross-validation", "kernel_id": "11799665"}, {"ref": "mkahraman19/pipelines", "kernel_id": "11799417"}, {"ref": "mkahraman19/categorical-variables", "kernel_id": "11799111"}, {"ref": "mkahraman19/data-leakage", "kernel_id": "11800253"}, {"ref": "mkahraman19/xgboost", "kernel_id": "11799936"}, {"ref": "mkahraman19/machine-learning-competitions", "kernel_id": "11796097"}, {"ref": "mkahraman19/missing-values", "kernel_id": "11797325"}, {"ref": "alijafari79/exercise-introduction", "kernel_id": "11002426"}, {"ref": "alijafari79/exercise-machine-learning-competitions", "kernel_id": "11000006"}, {"ref": "letsskaggle/house-prices-for-beginners-one-hot-encoding", "kernel_id": "11151382"}, {"ref": "ugurlumucahit/exercise-categorical-variables", "kernel_id": "11293395"}, {"ref": "ibrahimshabak/exercise-machine-learning-competitions", "kernel_id": "11497426"}, {"ref": "kuzak090/exercise-machine-learning-competitions", "kernel_id": "11099153"}, {"ref": "kuzak090/exercise-introduction", "kernel_id": "11198819"}, {"ref": "jingyaozhang/exercise-random-forests", "kernel_id": "11500347"}, {"ref": "jingyaozhang/exercise-your-first-machine-learning-model", "kernel_id": "11497390"}, {"ref": "jingyaozhang/exercise-underfitting-and-overfitting", "kernel_id": "11499394"}, {"ref": "jingyaozhang/exercise-model-validation", "kernel_id": "11498363"}, {"ref": "pavankumarreddy/exercise-machine-learning-competitions", "kernel_id": "11663950"}, {"ref": "shymaagamal/exercise-random-forests", "kernel_id": "11641954"}, {"ref": "shymaagamal/exercise-machine-learning-competitions", "kernel_id": "11599246"}, {"ref": "shymaagamal/exercise-underfitting-and-overfitting", "kernel_id": "11376589"}, {"ref": "shymaagamal/exercise-model-validation", "kernel_id": "11375493"}, {"ref": "shymaagamal/exercise-your-first-machine-learning-model", "kernel_id": "11373939"}, {"ref": "shymaagamal/exercise-introduction", "kernel_id": "11698020"}, {"ref": "shymaagamal/exercise-missing-values", "kernel_id": "11711053"}, {"ref": "shymaagamal/exercise-pipelines", "kernel_id": "11848215"}, {"ref": "shymaagamal/exercise-categorical-variables", "kernel_id": "11847586"}, {"ref": "shymaagamal/exercise-data-leakage", "kernel_id": "11867469"}, {"ref": "shymaagamal/exercise-xgboost", "kernel_id": "11863660"}, {"ref": "shymaagamal/exercise-cross-validation", "kernel_id": "11861550"}, {"ref": "vishwajeettewari/exercise-machine-learning-competitions", "kernel_id": "11904282"}, {"ref": "vintildianageorgiana/exercise-model-validation", "kernel_id": "11379837"}, {"ref": "vintildianageorgiana/exercise-your-first-machine-learning-model", "kernel_id": "11379528"}, {"ref": "parisimah/exercise-underfitting-and-overfitting", "kernel_id": "11704098"}, {"ref": "huytran9/exercise-categorical-variables", "kernel_id": "11397396"}, {"ref": "johntharian/house-price-evaluation-regression", "kernel_id": "11495031"}, {"ref": "akan27/housing-prices-competition-prediction", "kernel_id": "11859625"}, {"ref": "akan27/melbournepricepredict-underfitting-and-overfitting", "kernel_id": "11832203"}, {"ref": "akan27/melbournehouseprediction-model-building", "kernel_id": "11811771"}, {"ref": "unthic/exercise-introduction", "kernel_id": "11446253"}, {"ref": "maksymshkliarevskyi/a-quick-way-to-top-3-xgbregressor", "kernel_id": "11221057"}, {"ref": "elvinagammed/introduction-randomforest", "kernel_id": "11741851"}, {"ref": "tabriznuruyev/exercise-machine-learning-competitions", "kernel_id": "11102620"}, {"ref": "luckyhero613/exercise-introduction", "kernel_id": "11494074"}, {"ref": "erkanhatipoglu/housing-prices-gridsearchcv-example", "kernel_id": "11776436"}, {"ref": "erkanhatipoglu/housing-prices-pipeline-starter-code", "kernel_id": "11732381"}, {"ref": "erkanhatipoglu/intermediate-machine-learning-course-helper", "kernel_id": "11153820"}, {"ref": "adaxing/house-price-playground", "kernel_id": "11604838"}, {"ref": "dmytro21/exercise-xgboost", "kernel_id": "11542854"}, {"ref": "jjmewtw/exercise-machine-learning-competitions", "kernel_id": "11256622"}, {"ref": "jjmewtw/exercise-introduction", "kernel_id": "11256912"}, {"ref": "faridsharaf/basic-housing-prices-exercise", "kernel_id": "11497773"}, {"ref": "nishantnnayak/exercise-machine-learning-competitions", "kernel_id": "11615110"}, {"ref": "sumitbhuin/exercise-categorical-variables", "kernel_id": "11545053"}, {"ref": "prateekchauhan/exercise-machine-learning-competitions", "kernel_id": "11467133"}, {"ref": "madhurapharande/exercise-introduction", "kernel_id": "11029943"}, {"ref": "madhurapharande/exercise-random-forests", "kernel_id": "11001695"}, {"ref": "madhurapharande/exercise-machine-learning-competitions", "kernel_id": "11016844"}, {"ref": "pashmeenkaur/exercise-categorical-variables", "kernel_id": "11609198"}, {"ref": "rewrihitesh/exercise-introduction", "kernel_id": "11559386"}, {"ref": "yohanbaek/exercise-machine-learning-competitions", "kernel_id": "11310535"}, {"ref": "mohaelkebir/exercise-your-first-machine-learning-model", "kernel_id": "11592391"}, {"ref": "mohaelkebir/exercise-random-forests", "kernel_id": "11601760"}, {"ref": "mohaelkebir/exercise-machine-learning-competitions", "kernel_id": "11601882"}, {"ref": "mohaelkebir/exercise-model-validation", "kernel_id": "11599890"}, {"ref": "mohaelkebir/exercise-underfitting-and-overfitting", "kernel_id": "11600172"}, {"ref": "priyashrinithi/exercise-machine-learning-competitions", "kernel_id": "11112121"}, {"ref": "msorondo/exercise-pipelines", "kernel_id": "11187967"}, {"ref": "dearguru/exercise-categorical-variables", "kernel_id": "11179770"}, {"ref": "lihaochiang/exercise-pipelines", "kernel_id": "11248389"}, {"ref": "warmachinezz/housing-prediction-ranked-107-out-of-45651-top-1", "kernel_id": "11581000"}, {"ref": "nishatanjumlea/exercise-machine-learning-competitions", "kernel_id": "11127852"}, {"ref": "soumikdey/exercise-random-forests", "kernel_id": "11307342"}, {"ref": "nathanwdoctor/top-2-approach-xgbregressor", "kernel_id": "11481633"}, {"ref": "madriddajsinani/exercise-machine-learning-competitions", "kernel_id": "11751522"}, {"ref": "sambhav228/simple-model-approach-accuracy-87", "kernel_id": "11891980"}, {"ref": "devarshraval/top-2-feature-selection-ridge-regression", "kernel_id": "11485158"}, {"ref": "amnanazim/exercise-machine-learning-competitions", "kernel_id": "11941351"}, {"ref": "jaimeandresvalencia/exercise-underfitting-and-overfitting", "kernel_id": "11181922"}, {"ref": "jeevakarthi/exercise-machine-learning-competitions", "kernel_id": "11555227"}, {"ref": "datadecipherer/exercise-model-validation", "kernel_id": "11129059"}, {"ref": "abhishekchikun/exercise-underfitting-and-overfitting", "kernel_id": "11418571"}, {"ref": "manchikantidileep/exercise-machine-learning-competitions", "kernel_id": "11875361"}, {"ref": "kratikulhara/exercise-your-first-machine-learning-model", "kernel_id": "11017309"}, {"ref": "kratikulhara/exercise-machine-learning-competitions", "kernel_id": "11018867"}, {"ref": "kratikulhara/exercise-random-forests", "kernel_id": "11018813"}, {"ref": "garimasarangal/exercise-your-first-machine-learning-model", "kernel_id": "11076899"}, {"ref": "garimasarangal/exercise-underfitting-and-overfitting", "kernel_id": "11085650"}, {"ref": "garimasarangal/exercise-random-forests", "kernel_id": "11085972"}, {"ref": "garimasarangal/exercise-machine-learning-competitions", "kernel_id": "11086005"}, {"ref": "garimasarangal/exercise-missing-values", "kernel_id": "11120475"}, {"ref": "garimasarangal/exercise-categorical-variables", "kernel_id": "11120514"}, {"ref": "garimasarangal/exercise-pipelines", "kernel_id": "11120542"}, {"ref": "garimasarangal/exercise-cross-validation", "kernel_id": "11120561"}, {"ref": "garimasarangal/exercise-xgboost", "kernel_id": "11120577"}, {"ref": "garimasarangal/exercise-data-leakage", "kernel_id": "11120601"}, {"ref": "udutta/housing-prediction", "kernel_id": "11597431"}, {"ref": "sudhirmundhra/exercise-categorical-variables", "kernel_id": "11900084"}, {"ref": "georgetatsis/house-prices-my-first-submission", "kernel_id": "11912734"}, {"ref": "omarfaruksani/exercise-machine-learning-competitions", "kernel_id": "11677925"}, {"ref": "amuhammedmadhih/exercise-random-forests", "kernel_id": "11402237"}, {"ref": "amuhammedmadhih/exercise-machine-learning-competitions", "kernel_id": "11402398"}, {"ref": "amuhammedmadhih/exercise-model-validation", "kernel_id": "11401490"}, {"ref": "amuhammedmadhih/exercise-underfitting-and-overfitting", "kernel_id": "11401703"}, {"ref": "amuhammedmadhih/exercise-your-first-machine-learning-model", "kernel_id": "11401330"}, {"ref": "abhaporwal/house-price-prediction", "kernel_id": "11370514"}, {"ref": "nidhiprabhu/house-price-predictions-1", "kernel_id": "11886184"}, {"ref": "meaditya70/exercise-machine-learning-competitions", "kernel_id": "11085253"}, {"ref": "vaishalijaware/exercise-machine-learning-competitions", "kernel_id": "11800626"}, {"ref": "krzysztofsankiewicz/exercise-machine-learning-competitions", "kernel_id": "11110919"}, {"ref": "swetapadmadalai/exercise-xgboost", "kernel_id": "11000583"}, {"ref": "swetapadmadalai/exercise-data-leakage", "kernel_id": "11028923"}, {"ref": "tayefshah/exercise-machine-learning-competitions", "kernel_id": "11523828"}, {"ref": "shashankrajput9/exercise-house", "kernel_id": "11553548"}, {"ref": "mohamedbadran1/exercise-introduction", "kernel_id": "11109892"}, {"ref": "tongx93/exercise-missing-values", "kernel_id": "11848644"}, {"ref": "iamcharan/systematic-approach-for-a-top-500-submission", "kernel_id": "11012104"}, {"ref": "vaishnaviasonawane/kaggle-house-price", "kernel_id": "11079745"}, {"ref": "avimehta14/ml-pipelines-in-model", "kernel_id": "11071992"}, {"ref": "avimehta14/categorical-variables", "kernel_id": "11010870"}, {"ref": "onkardhavan/exercise-introduction", "kernel_id": "11181879"}, {"ref": "onkardhavan/exercise-missing-values", "kernel_id": "11365002"}, {"ref": "jayalakshmivenk/exercise-machine-learning-competitions", "kernel_id": "11021210"}, {"ref": "arenagrenade/exercise-missing-values", "kernel_id": "11692002"}, {"ref": "sumitsingh20/house-price-prediction-xgboost-rf-linearregres", "kernel_id": "11463843"}, {"ref": "silvarodrigo/exercise-xgboost", "kernel_id": "11203581"}, {"ref": "silvarodrigo/exercise-data-leakage", "kernel_id": "11203780"}, {"ref": "srijanmandal/exercise-your-first-machine-learning-model", "kernel_id": "11466090"}, {"ref": "srijanmandal/exercise-model-validation", "kernel_id": "11466428"}, {"ref": "srijanmandal/exercise-random-forests", "kernel_id": "11482994"}, {"ref": "srijanmandal/exercise-underfitting-and-overfitting", "kernel_id": "11479978"}, {"ref": "dsonyy/housing-prices-7-different-methods-top-5", "kernel_id": "11170206"}, {"ref": "piotrmajewski/ml-course-house-pricing", "kernel_id": "11204224"}, {"ref": "skaman/exercise-missing-values", "kernel_id": "11314754"}, {"ref": "goyalravi/exercise-random-forests", "kernel_id": "11138127"}, {"ref": "goyalravi/intro-machine-learning-house-prices", "kernel_id": "11165200"}, {"ref": "bethecheng/fastai-approach-to-housing-price-predictions", "kernel_id": "11325540"}, {"ref": "vishalkukade38/exercise-machine-learning-competitions", "kernel_id": "11063158"}, {"ref": "geetanshmahajan/exercise-your-first-machine-learning-model", "kernel_id": "11788116"}, {"ref": "adityabhndari/exercise-model-validation", "kernel_id": "11241908"}, {"ref": "adityabhndari/exercise-machine-learning-competitions", "kernel_id": "11256512"}, {"ref": "adityabhndari/exercise-random-forests", "kernel_id": "11256399"}, {"ref": "adityabhndari/exercise-underfitting-and-overfitting", "kernel_id": "11256048"}, {"ref": "pateltirths/exercise-introduction", "kernel_id": "11780645"}, {"ref": "maneesh99/random-forests", "kernel_id": "11967744"}, {"ref": "naynikawason/exercise-pipelines", "kernel_id": "11530080"}, {"ref": "ahmedmurad1990/hous-prais2", "kernel_id": "11371526"}, {"ref": "annabalanik/exercise-pipelines", "kernel_id": "11477222"}, {"ref": "mohammedkuheil/exercise-data-leakage", "kernel_id": "11219770"}, {"ref": "sameerahmed373/exercise-machine-learning-competitions", "kernel_id": "11194422"}, {"ref": "skatkar/exercise-missing-values", "kernel_id": "11264776"}, {"ref": "paolodelia/house-price-prediction-beginner", "kernel_id": "11520109"}, {"ref": "prakharagrawal22/top-9-house-prediction", "kernel_id": "11118664"}, {"ref": "jxsoon/housing-price-prediction", "kernel_id": "11267087"}, {"ref": "ivankomarov1990/exercise-categorical-variables", "kernel_id": "11713932"}, {"ref": "shobhit115/exercise-machine-learning-competitions", "kernel_id": "11864669"}, {"ref": "feyzapamukolujohnson/exercise-machine-learning-competitions", "kernel_id": "11340856"}, {"ref": "akashkanojiya/house-3", "kernel_id": "11711446"}, {"ref": "saathith/exercise-machine-learning-competitions", "kernel_id": "11178973"}, {"ref": "georgeowino/exercise-machine-learning-competitions", "kernel_id": "11178915"}, {"ref": "varshasamant/exercise-machine-learning-competitions", "kernel_id": "11193848"}, {"ref": "shawnpurcell/exercise-random-forests", "kernel_id": "11817005"}, {"ref": "kunwardeepak/automl-for-house-price-prediction", "kernel_id": "11354154"}, {"ref": "harshitsharma45/exercise-pipelines", "kernel_id": "11070442"}, {"ref": "laponovvladislav/3rd-submission-with-mv-dealt-with", "kernel_id": "11386217"}, {"ref": "doaadoaa/exercise-introduction", "kernel_id": "11171239"}, {"ref": "doaadoaa/exercise-random-forests", "kernel_id": "11168182"}, {"ref": "doaadoaa/exercise-underfitting-and-overfitting", "kernel_id": "11102389"}, {"ref": "doaadoaa/exercise-data-leakage", "kernel_id": "11543634"}, {"ref": "doaadoaa/exercise-xgboost", "kernel_id": "11538715"}, {"ref": "doaadoaa/exercise-cross-validation", "kernel_id": "11525660"}, {"ref": "doaadoaa/exercise-pipelines", "kernel_id": "11513823"}, {"ref": "doaadoaa/exercise-machine-learning-competitions", "kernel_id": "11496270"}, {"ref": "doaadoaa/exercise-missing-values", "kernel_id": "11415927"}, {"ref": "doaadoaa/exercise-categorical-variables", "kernel_id": "11477161"}, {"ref": "girdharsharma/exercise-introduction", "kernel_id": "11605652"}, {"ref": "rmibizet/housingprices-kagglelearning", "kernel_id": "11845814"}, {"ref": "markoduksi/housing-prices-comp-how-to-improve-my-score", "kernel_id": "11005386"}, {"ref": "emione/exercise-missing-values", "kernel_id": "11837492"}, {"ref": "xiaomancai11/exercise-missing-values", "kernel_id": "11588293"}, {"ref": "nurulaminrobin/exercise-machine-learning-competitions", "kernel_id": "11864587"}, {"ref": "vivianelima/exercise-your-first-machine-learning-model", "kernel_id": "11090107"}, {"ref": "vivianelima/exercise-machine-learning-competitions", "kernel_id": "11410134"}, {"ref": "prannoylfc/house-price-predictions-v3-10-8-2020", "kernel_id": "11128366"}, {"ref": "dorodikrishty/housing-prices-prediction", "kernel_id": "11226834"}, {"ref": "onurbaris/housing-prices-competition", "kernel_id": "11300996"}, {"ref": "keyurparekh/exercise-introduction", "kernel_id": "11126268"}, {"ref": "sebinsabu/exercise-machine-learning-competitions", "kernel_id": "11417019"}, {"ref": "shaswatsingh/exercise-your-first-machine-learning-model", "kernel_id": "11694602"}, {"ref": "ericdalva/exercise-machine-learning-competitions", "kernel_id": "11003508"}, {"ref": "mhjasonwu/exercise-missing-values", "kernel_id": "11225410"}, {"ref": "jorgenole/exercise-machine-learning-competitions", "kernel_id": "11055501"}, {"ref": "johnmichaelsantos/exercise-machine-learning-competitions", "kernel_id": "11025188"}, {"ref": "ankurkrypton/exercise-categorical-variables", "kernel_id": "11055714"}, {"ref": "daedalusdreamjournal/exercise-xgboost", "kernel_id": "11019526"}, {"ref": "vfazia/notebooka4d80c06d2", "kernel_id": "11386211"}, {"ref": "skoneti12/exercise-categorical-variables", "kernel_id": "11424958"}, {"ref": "skoneti12/exercise-your-first-machine-learning-model", "kernel_id": "11378395"}, {"ref": "skoneti12/exercise-model-validation", "kernel_id": "11384993"}, {"ref": "skoneti12/exercise-underfitting-and-overfitting", "kernel_id": "11385842"}, {"ref": "skoneti12/exercise-random-forests", "kernel_id": "11386160"}, {"ref": "skoneti12/exercise-machine-learning-competitions", "kernel_id": "11386225"}, {"ref": "skoneti12/exercise-introduction", "kernel_id": "11386869"}, {"ref": "skoneti12/exercise-missing-values", "kernel_id": "11388244"}, {"ref": "anishpokharel/exercise-introduction", "kernel_id": "11458606"}, {"ref": "tomfrenken/exercise-categorical-variables", "kernel_id": "11257684"}, {"ref": "amanlakhani/exercise-introduction", "kernel_id": "11013947"}, {"ref": "amanlakhani/exercise-missing-values", "kernel_id": "11014226"}, {"ref": "patszgan/exercise-machine-learning-competitions", "kernel_id": "11427463"}, {"ref": "sufali10/exercise-machine-learning-competitions", "kernel_id": "11654728"}, {"ref": "babatundeadewumi/exercise-introduction", "kernel_id": "11117811"}, {"ref": "khavanskayata/exercise-machine-learning-competitions", "kernel_id": "11989595"}, {"ref": "baptistefernandez/exercise-missing-values", "kernel_id": "11482501"}, {"ref": "mathurdanduprolu/exercise-cross-validation", "kernel_id": "11119781"}, {"ref": "mathurdanduprolu/exercise-xgboost", "kernel_id": "11119864"}, {"ref": "mathurdanduprolu/exercise-pipelines", "kernel_id": "11114331"}, {"ref": "mathurdanduprolu/exercise-introduction", "kernel_id": "11101764"}, {"ref": "mathurdanduprolu/exercise-categorical-variables", "kernel_id": "11102416"}, {"ref": "mathurdanduprolu/exercise-random-forests", "kernel_id": "11087802"}, {"ref": "mathurdanduprolu/exercise-machine-learning-competitions", "kernel_id": "11087854"}, {"ref": "mathurdanduprolu/exercise-your-first-machine-learning-model", "kernel_id": "11085623"}, {"ref": "mathurdanduprolu/exercise-model-validation", "kernel_id": "11087235"}, {"ref": "joeoleynik/exercise-missing-values", "kernel_id": "11358671"}, {"ref": "joeoleynik/exercise-machine-learning-competitions", "kernel_id": "11344761"}, {"ref": "joeoleynik/exercise-random-forests", "kernel_id": "11344624"}, {"ref": "anahkiasen/housing-estimator", "kernel_id": "11294719"}, {"ref": "alvinboat/exercise-machine-learning-competitions", "kernel_id": "11527355"}, {"ref": "acobeangeulrichboni/exercise-machine-learning-competitions", "kernel_id": "11476896"}, {"ref": "sherazfaisal/exercise-machine-learning-competitions", "kernel_id": "11168120"}, {"ref": "sherazfaisal/exercise-your-first-machine-learning-model", "kernel_id": "11164972"}, {"ref": "mirenaborisova/exercise-machine-learning-competitions", "kernel_id": "11434527"}, {"ref": "mirenaborisova/exercise-random-forests", "kernel_id": "11424002"}, {"ref": "mirenaborisova/exercise-model-validation", "kernel_id": "11402041"}, {"ref": "mirenaborisova/exercise-underfitting-and-overfitting", "kernel_id": "11406769"}, {"ref": "mirenaborisova/exercise-your-first-machine-learning-model", "kernel_id": "11307062"}, {"ref": "ty2lerdurden/tut-2-3-exercise-model-validation", "kernel_id": "11365781"}, {"ref": "ty2lerdurden/tut-2-4-exercise-underfitting-and-overfitting", "kernel_id": "11367475"}, {"ref": "ty2lerdurden/tut-exercise-xgboost", "kernel_id": "11399338"}, {"ref": "ty2lerdurden/tut-2-5-exercise-random-forests", "kernel_id": "11385537"}, {"ref": "ty2lerdurden/tut-2-6-exercise-machine-learning-competitions", "kernel_id": "11385606"}, {"ref": "learningaccount19/exercise-machine-learning-competitions", "kernel_id": "11274444"}, {"ref": "hyoungeunsong/notebookbcd7017713", "kernel_id": "11806319"}, {"ref": "vladislavkalinkin/exercise-machine-learning-competitions", "kernel_id": "11213413"}, {"ref": "evaphi/exercise-machine-learning-competitions", "kernel_id": "11792852"}, {"ref": "jensforsgrd/cleaning-the-house", "kernel_id": "11196835"}, {"ref": "tamoghnobhattacharya/housing-price-prediction-kaggle-learn", "kernel_id": "11179981"}, {"ref": "nazimonderorhan/exercise-machine-learning-competitions", "kernel_id": "11195904"}, {"ref": "kardantel/exercise-machine-learning-competitions", "kernel_id": "11376070"}, {"ref": "sakthinamasivayamk/exercise-your-first-machine-learning-model", "kernel_id": "11345253"}, {"ref": "xiaolonglii/exercise-machine-learning-competitions", "kernel_id": "11254909"}, {"ref": "yogeshagnihotri/exercise-random-forests", "kernel_id": "11927971"}, {"ref": "yogeshagnihotri/exercise-your-first-machine-learning-model", "kernel_id": "11891075"}, {"ref": "oussama99/exercise-machine-learning-competitions", "kernel_id": "11254718"}, {"ref": "vipul1999/exercise-categorical-variables", "kernel_id": "11428876"}, {"ref": "yash92328/exercise-machine-learning-competitions", "kernel_id": "11319218"}, {"ref": "siripurapusrinivas08/exercise-missing-values", "kernel_id": "11432134"}, {"ref": "brunotriebus/exercise-machine-learning-competitions", "kernel_id": "11591892"}, {"ref": "gokulprakash22/decision-trees-and-random-forest-complete-guide", "kernel_id": "11746992"}, {"ref": "naruhodou/exercise-machine-learning-competitions", "kernel_id": "11337536"}, {"ref": "patrick76/exercise-machine-learning-competitions", "kernel_id": "11317763"}, {"ref": "theuniversesd/exercise-pipelines-ce906e", "kernel_id": "11421604"}, {"ref": "anmolpatel/exercise-machine-learning-competitions", "kernel_id": "11368236"}, {"ref": "juanfdogallegogomez/exercise-missing-values", "kernel_id": "11654977"}, {"ref": "nhatdang141120/baseline-model", "kernel_id": "11587035"}, {"ref": "nhatdang141120/exercise-machine-learning-competitions", "kernel_id": "11548940"}, {"ref": "kumudzc/exercise-machine-learning-competitions", "kernel_id": "11356617"}, {"ref": "naveen201105/exercise-your-first-machine-learning-model", "kernel_id": "11835948"}, {"ref": "pawankrgiri/randomforestregressor", "kernel_id": "11793031"}, {"ref": "otthtml/exercise-random-forests", "kernel_id": "11711391"}, {"ref": "sudipsamanta35/exercise-random-forests", "kernel_id": "11564024"}, {"ref": "andreslavescu/exercise-machine-learning-competitions", "kernel_id": "11438817"}, {"ref": "ayushmanpranav/exercise-introduction", "kernel_id": "11634152"}, {"ref": "ayushmanpranav/exercise-underfitting-and-overfitting", "kernel_id": "11498783"}, {"ref": "ayushmanpranav/exercise-random-forests", "kernel_id": "11537808"}, {"ref": "ayushmanpranav/exercise-model-validation", "kernel_id": "11463827"}, {"ref": "ayushmanpranav/exercise-your-first-machine-learning-model", "kernel_id": "11419301"}, {"ref": "ayushmanpranav/exercise-cross-validation", "kernel_id": "11938047"}, {"ref": "ayushmanpranav/exercise-categorical-variables", "kernel_id": "11806760"}, {"ref": "josuefaneittes/mariquera-d-josue", "kernel_id": "11424580"}, {"ref": "keyboardg/basic-exploratory-data-analysis", "kernel_id": "11425319"}, {"ref": "maisamir/exercise-machine-learning-competitions", "kernel_id": "11488137"}, {"ref": "maisamir/exercise-model-validation", "kernel_id": "11487277"}, {"ref": "maisamir/exercise-underfitting-and-overfitting", "kernel_id": "11487744"}, {"ref": "maisamir/exercise-random-forests", "kernel_id": "11488086"}, {"ref": "maisamir/exercise-your-first-machine-learning-model", "kernel_id": "11485421"}, {"ref": "benjaminhthomas/predicting-house-prices-with-xgboost", "kernel_id": "11787402"}, {"ref": "albertvivas/grafico-de-puntos", "kernel_id": "11506471"}, {"ref": "niharikaachauhan/exercise-machine-learning-competitions", "kernel_id": "11558835"}, {"ref": "niharikaachauhan/exercise-random-forests", "kernel_id": "11558564"}, {"ref": "ysprakash/exercise-xgboost", "kernel_id": "11648745"}, {"ref": "indranisen06/exercise-machine-learning-competitions", "kernel_id": "11518427"}, {"ref": "amitkrthakur/exercise-introduction", "kernel_id": "11659538"}, {"ref": "elvlado/exercise-your-first-machine-learning-model", "kernel_id": "11515426"}, {"ref": "soham05/exercise-xgboost", "kernel_id": "11812929"}, {"ref": "itaaaa/exercise-machine-learning-competitions", "kernel_id": "11592512"}, {"ref": "anamariamidoripreda/exercise-machine-learning-competitions", "kernel_id": "11769457"}, {"ref": "anamariamidoripreda/exercise-random-forests", "kernel_id": "11769403"}, {"ref": "anamariamidoripreda/exercise-underfitting-and-overfitting", "kernel_id": "11768773"}, {"ref": "anamariamidoripreda/exercise-model-validation", "kernel_id": "11767851"}, {"ref": "anamariamidoripreda/exercise-your-first-machine-learning-model", "kernel_id": "11680252"}, {"ref": "rabiulislam9/exercise-machine-learning-competitions", "kernel_id": "11842158"}, {"ref": "rabiulislam9/exercise-introduction", "kernel_id": "11843068"}, {"ref": "rabiulislam9/exercise-missing-values", "kernel_id": "11844018"}, {"ref": "ljuboslavboskic/random-forest-approach-testing", "kernel_id": "11678964"}, {"ref": "puneetpandhi/exercise-machine-learning-competitions", "kernel_id": "11705557"}, {"ref": "safonenkomax/exercise-machine-learning-competitions", "kernel_id": "11844479"}, {"ref": "safonenkomax/exercise-your-first-machine-learning-model", "kernel_id": "11844483"}, {"ref": "shirleytu/housepricepridiction", "kernel_id": "11891673"}, {"ref": "suvooo/exercise-your-first-machine-learning-model", "kernel_id": "11891017"}, {"ref": "philipperambaud69/exercise-model-validation", "kernel_id": "11840690"}, {"ref": "jamesgeorgedunn/exercise-machine-learning-competitions", "kernel_id": "11883543"}, {"ref": "efekomoni/exercise-your-first-machine-learning-model", "kernel_id": "11895264"}, {"ref": "prashantraghuvanshi/exercise-machine-learning-competitions", "kernel_id": "12332174"}, {"ref": "jayesh02/house-prices-competition", "kernel_id": "12268653"}, {"ref": "brezaie/predict-house-price-on-kaggle", "kernel_id": "12328532"}, {"ref": "z3rocool/base-model", "kernel_id": "12600419"}, {"ref": "georgezoto/intro-to-ml-random-forests", "kernel_id": "12067569"}, {"ref": "georgezoto/intro-to-ml-machine-learning-competitions", "kernel_id": "12067730"}, {"ref": "georgezoto/intro-to-ml-underfitting-and-overfitting", "kernel_id": "12066920"}, {"ref": "georgezoto/intermediate-ml-data-leakage", "kernel_id": "12288938"}, {"ref": "georgezoto/intermediate-ml-cross-validation", "kernel_id": "12271336"}, {"ref": "georgezoto/intermediate-ml-xgboost", "kernel_id": "12272368"}, {"ref": "georgezoto/intermediate-ml-categorical-variables", "kernel_id": "12244796"}, {"ref": "georgezoto/intermediate-ml-pipelines", "kernel_id": "12248721"}, {"ref": "georgezoto/intermediate-ml-missing-values", "kernel_id": "12243295"}, {"ref": "georgezoto/intermediate-ml-introduction", "kernel_id": "12212865"}, {"ref": "arvjus/exercise-machine-learning-competitions", "kernel_id": "12767532"}, {"ref": "ekrembayar/quick-data-exploration-reporting-automation", "kernel_id": "12083278"}, {"ref": "srinibi/exercise-model-validation", "kernel_id": "12747284"}, {"ref": "mitakshra/exercise-underfitting-and-overfitting", "kernel_id": "12279857"}, {"ref": "astroyanan/statistics-assignment-3", "kernel_id": "12266012"}, {"ref": "maiselfar/exercise-introduction", "kernel_id": "12669677"}, {"ref": "maiselfar/exercise-missing-values", "kernel_id": "12674509"}, {"ref": "askolkova/housing-preprocessing-and-xgboost", "kernel_id": "12607150"}, {"ref": "doriano/exercise-categorical-variables", "kernel_id": "12123041"}, {"ref": "karthikbhandary2/exercise-pipelines", "kernel_id": "12195676"}, {"ref": "mahmoud1youssef/housing-prices-full-solution", "kernel_id": "12742825"}, {"ref": "arielkeslassy/testing-the-linear-regression-assumptions", "kernel_id": "12367226"}, {"ref": "ahmtlb/exercise-your-first-machine-learning-model", "kernel_id": "12759155"}, {"ref": "ahmtlb/exercise-model-validation", "kernel_id": "12759434"}, {"ref": "zetha82/exercise-machine-learning-competitions", "kernel_id": "12862130"}, {"ref": "spowar/exercise-categorical-variables", "kernel_id": "12272321"}, {"ref": "mikeramby/exercise-xgboost", "kernel_id": "12305122"}, {"ref": "dumitrux/data-science-workflow", "kernel_id": "12390580"}, {"ref": "crysialucifer/housing-price-prediction", "kernel_id": "12195916"}, {"ref": "tbalbot/fork-2-of-house-price-predicting-baseline", "kernel_id": "12182555"}, {"ref": "sturgicals/exercise-introduction", "kernel_id": "12557757"}, {"ref": "lailaelmahmoudi123/exercise-random-forests", "kernel_id": "12060806"}, {"ref": "lailaelmahmoudi123/exercise-machine-learning-competitions", "kernel_id": "12061026"}, {"ref": "lailaelmahmoudi123/exercise-your-first-machine-learning-model", "kernel_id": "12061698"}, {"ref": "lailaelmahmoudi123/exercise-introduction", "kernel_id": "12061554"}, {"ref": "lailaelmahmoudi123/exercise-underfitting-and-overfitting", "kernel_id": "12063273"}, {"ref": "lailaelmahmoudi123/exercise-model-validation", "kernel_id": "12062972"}, {"ref": "hazratnit/melbourne-dataset", "kernel_id": "12476321"}, {"ref": "anudeepgoud/exercise-categorical-variables", "kernel_id": "12661681"}, {"ref": "daveylgy/exercise-cross-validation", "kernel_id": "12635153"}, {"ref": "daveylgy/exercise-data-leakage", "kernel_id": "12655941"}, {"ref": "daveylgy/exercise-xgboost", "kernel_id": "12655923"}, {"ref": "daveylgy/exercise-missing-values", "kernel_id": "12499171"}, {"ref": "daveylgy/exercise-introduction", "kernel_id": "12498988"}, {"ref": "daveylgy/exercise-categorical-variables", "kernel_id": "12562130"}, {"ref": "daveylgy/exercise-pipelines", "kernel_id": "12562133"}, {"ref": "arnaldobjj/exercise-machine-learning-competitions", "kernel_id": "12241458"}, {"ref": "eliyaal/exercise-machine-learning-competitions", "kernel_id": "12982255"}, {"ref": "lucaszonin/exercise-categorical-variables", "kernel_id": "12691673"}, {"ref": "lucaszonin/exercise-pipelines", "kernel_id": "12693258"}, {"ref": "lucaszonin/exercise-machine-learning-competitions", "kernel_id": "12684986"}, {"ref": "lucaszonin/exercise-introduction", "kernel_id": "12686366"}, {"ref": "lucaszonin/exercise-missing-values", "kernel_id": "12687186"}, {"ref": "pandeyshivansh/housing-prices-prediction-alternate-approach", "kernel_id": "12038288"}, {"ref": "zeenathmt/exercise-underfitting-and-overfitting", "kernel_id": "12531647"}, {"ref": "zeenathmt/exercise-random-forests", "kernel_id": "12531893"}, {"ref": "zeenathmt/exercise-your-first-machine-learning-model", "kernel_id": "12531131"}, {"ref": "zeenathmt/exercise-model-validation", "kernel_id": "12531414"}, {"ref": "zeenathmt/exercise-machine-learning-competitions", "kernel_id": "12532077"}, {"ref": "nikpal/exercise-machine-learning-competitions", "kernel_id": "12360646"}, {"ref": "moizkhan11/exercise-your-first-machine-learning-model", "kernel_id": "12562675"}, {"ref": "moizkhan11/exercise-model-validation", "kernel_id": "12614148"}, {"ref": "giuliogiuliogiulio/model-underfitting-and-overfitting-scikit-learn", "kernel_id": "12079055"}, {"ref": "giuliogiuliogiulio/random-forests-scikit-learn", "kernel_id": "12080676"}, {"ref": "giuliogiuliogiulio/model-validation-scikit-learn", "kernel_id": "12075445"}, {"ref": "proff1/exercise-model-validation", "kernel_id": "12104598"}, {"ref": "proff1/exercise-your-first-machine-learning-model", "kernel_id": "12013506"}, {"ref": "kaustubhshirpurkar/housing-prediction-problem-stacking", "kernel_id": "12500614"}, {"ref": "sidqali/exercise-machine-learning-competitions", "kernel_id": "12810936"}, {"ref": "sidqali/exercise-random-forests", "kernel_id": "12810825"}, {"ref": "sidqali/exercise-underfitting-and-overfitting", "kernel_id": "12810081"}, {"ref": "parismollo/saleprice-predictor", "kernel_id": "12343590"}, {"ref": "rishincris/exercise-machine-learning-competitions", "kernel_id": "12125973"}, {"ref": "navinkrishnatb/exercise-machine-learning-competitions", "kernel_id": "12267669"}, {"ref": "liuyingduo/how-models-work", "kernel_id": "12365480"}, {"ref": "rathishubham/exercise-missing-values", "kernel_id": "12298791"}, {"ref": "amolambkar/multiple-linear-regression-house-price-prediction", "kernel_id": "12338238"}, {"ref": "riyajm/deep-learning-approach-tensorflow-keras", "kernel_id": "12626257"}, {"ref": "alikhanabzhanov/exercise-introduction", "kernel_id": "12577751"}, {"ref": "isprashant/exercise-machine-learning-competitions", "kernel_id": "12081803"}, {"ref": "abirhannachi/exercise-missing-values", "kernel_id": "12033622"}, {"ref": "shreyasloki/exercise-introduction", "kernel_id": "12524149"}, {"ref": "sajidhossainhemal/exercise-your-first-machine-learning-model", "kernel_id": "12143743"}, {"ref": "sayaboinajash/exercise-machine-learning-competitions", "kernel_id": "12578347"}, {"ref": "saraswatitiwari/exercise-your-first-machine-learning-model", "kernel_id": "12411384"}, {"ref": "saraswatitiwari/exercise-random-forests", "kernel_id": "12411767"}, {"ref": "saraswatitiwari/exercise-introduction", "kernel_id": "12412045"}, {"ref": "saraswatitiwari/exercise-machine-learning-competitions", "kernel_id": "12411836"}, {"ref": "saraswatitiwari/exercise-underfitting-and-overfitting", "kernel_id": "12411681"}, {"ref": "saraswatitiwari/exercise-model-validation", "kernel_id": "12411555"}, {"ref": "saraswatitiwari/exercise-missing-values", "kernel_id": "12420196"}, {"ref": "maksymshkliarevskyi/a-quick-way-to-top-3-with-r", "kernel_id": "12336368"}, {"ref": "lawrenceho/exercise-categorical-variables", "kernel_id": "12492782"}, {"ref": "lawrenceho/exercise-missing-values", "kernel_id": "12491227"}, {"ref": "lawrenceho/exercise-introduction", "kernel_id": "12490904"}, {"ref": "lawrenceho/exercise-model-validation", "kernel_id": "12486525"}, {"ref": "lawrenceho/exercise-underfitting-and-overfitting", "kernel_id": "12486803"}, {"ref": "lawrenceho/exercise-machine-learning-competitions", "kernel_id": "12487447"}, {"ref": "lawrenceho/exercise-random-forests", "kernel_id": "12487269"}, {"ref": "lawrenceho/exercise-data-leakage", "kernel_id": "12505702"}, {"ref": "lawrenceho/exercise-xgboost", "kernel_id": "12501244"}, {"ref": "lawrenceho/exercise-cross-validation", "kernel_id": "12500905"}, {"ref": "lawrenceho/exercise-pipelines", "kernel_id": "12498598"}, {"ref": "lawrenceho/exercise-your-first-machine-learning-model", "kernel_id": "12482786"}, {"ref": "vijays18/house-price-prediction-v1", "kernel_id": "12031084"}, {"ref": "rahulgupta28/exercise-your-first-machine-learning-model", "kernel_id": "12596893"}, {"ref": "jeejojoy/exercise-machine-learning-competitions", "kernel_id": "12019795"}, {"ref": "tasnimdima/exercise-machine-learning-competitions", "kernel_id": "12274372"}, {"ref": "ashishksrivastava/exercise-machine-learning-competitions", "kernel_id": "12455866"}, {"ref": "ashishksrivastava/exercise-your-first-machine-learning-model", "kernel_id": "12223836"}, {"ref": "wanluluo/data-science-workflow-top-2-with-tuning", "kernel_id": "12878297"}, {"ref": "dmitryyemelyanov/deep-learning-solution-with-tensorflow", "kernel_id": "12031547"}, {"ref": "r0uxt1/exercise-machine-learning-competitions", "kernel_id": "12181032"}, {"ref": "nidhaypancholi/housing-price-prediction", "kernel_id": "12792195"}, {"ref": "surajsingh07/home-dataset", "kernel_id": "12058398"}, {"ref": "surajsingh07/housing-price-dataset", "kernel_id": "12220186"}, {"ref": "amnanazim/exercise-categorical-variables", "kernel_id": "12491539"}, {"ref": "ivantrajanovski/exercise-categorical-variables", "kernel_id": "12998727"}, {"ref": "mandeepnikhil/exercise-categorical-variables", "kernel_id": "12542467"}, {"ref": "mandeepnikhil/exercise-machine-learning-competitions", "kernel_id": "12468226"}, {"ref": "huntermitchell/high-price-vs-low-price-classification", "kernel_id": "12380800"}, {"ref": "borisovmaksim/housing", "kernel_id": "12536596"}, {"ref": "alexandrevignon/notebook8b298cd751", "kernel_id": "12316501"}, {"ref": "mintaow/house-price-prediction-1-3-feats-v2-20201103", "kernel_id": "12509851"}, {"ref": "virgilesassano/exercise-machine-learning-competitions", "kernel_id": "12316967"}, {"ref": "anirudhsuresh522001/ai-workshop-part-ii-task", "kernel_id": "12301853"}, {"ref": "nephesd/exercise-xgboost", "kernel_id": "12235715"}, {"ref": "pratyushmohanty/exercise-introduction", "kernel_id": "12450201"}, {"ref": "shakibrahimi/house-pricing-with-deep-learning", "kernel_id": "12764972"}, {"ref": "colleenslyne/exercise-missing-values", "kernel_id": "12694264"}, {"ref": "rushikeshlavate/exercise-machine-learning-competitions", "kernel_id": "12843756"}, {"ref": "surbi22/ai-workshop-part-ii-task", "kernel_id": "12365563"}, {"ref": "surbi22/notebook170e96b85d", "kernel_id": "12459786"}, {"ref": "yaminiharikrishnan/exercise-model-validation", "kernel_id": "12503858"}, {"ref": "yaminiharikrishnan/exercise-random-forests", "kernel_id": "12505352"}, {"ref": "yaminiharikrishnan/exercise-underfitting-and-overfitting", "kernel_id": "12505343"}, {"ref": "yaminiharikrishnan/exercise-your-first-machine-learning-model", "kernel_id": "12470246"}, {"ref": "yudhishthirsingh/simple-demo-with-eda-clear-steps-for-top-10", "kernel_id": "12757060"}, {"ref": "korfanakis/housing-prices-a-simple-approach-to-top-2", "kernel_id": "12897138"}, {"ref": "korfanakis/housing-prices-clear-and-concise-eda", "kernel_id": "12847777"}, {"ref": "arya24/exercise-machine-learning-competitions", "kernel_id": "12043937"}, {"ref": "yasharora905/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "12003372"}, {"ref": "getdna/classical-machine-learning", "kernel_id": "12036852"}, {"ref": "danylofatieiev/housing-prices-competition-xgboost", "kernel_id": "12555791"}, {"ref": "swarajshelavale/multiple-linear-regression-house-price-prediction", "kernel_id": "12648966"}, {"ref": "maneesh99/introduction-of-machine-learning", "kernel_id": "12040569"}, {"ref": "alexmas0n/housing-price-data-cleaning", "kernel_id": "12181213"}, {"ref": "alexmas0n/housing-price-submission-top-2", "kernel_id": "12181176"}, {"ref": "sandramugao/exercise-xgboost", "kernel_id": "12748037"}, {"ref": "mahdimahdi55/exercise-your-first-machine-learning-model", "kernel_id": "12885705"}, {"ref": "mahdimahdi55/hous-prais02", "kernel_id": "12882916"}, {"ref": "sheniakuchumova/notebook8e24cde8e7", "kernel_id": "12553647"}, {"ref": "annahaha139/exercise-pipelines", "kernel_id": "12884627"}, {"ref": "aimenjaved1/exercise-introduction", "kernel_id": "12599607"}, {"ref": "artyomkolas/ml-approach-to-replacing-nan-top-4", "kernel_id": "12778175"}, {"ref": "maheshab/exercise-underfitting-and-overfitting", "kernel_id": "12738715"}, {"ref": "maheshab/exercise-random-forests", "kernel_id": "12739176"}, {"ref": "maheshab/exercise-model-validation", "kernel_id": "12738451"}, {"ref": "nisargkapkar/basic-ml-model", "kernel_id": "12408396"}, {"ref": "logiflo/housing-price-prediction-cleaning-data", "kernel_id": "12827146"}, {"ref": "logiflo/housing-price-prediction-initiation-guide", "kernel_id": "12803939"}, {"ref": "asaitech/houseprice-prediction", "kernel_id": "12535380"}, {"ref": "shelvigarg/random-forest-improvements", "kernel_id": "12971691"}, {"ref": "shelvigarg/exercise-random-forests", "kernel_id": "12940591"}, {"ref": "shelvigarg/exercise-underfitting-and-overfitting", "kernel_id": "12940256"}, {"ref": "shelvigarg/exercise-model-validation", "kernel_id": "12939904"}, {"ref": "shelvigarg/exercise-your-first-machine-learning-model", "kernel_id": "12939266"}, {"ref": "shelvigarg/exercise-machine-learning-competitions", "kernel_id": "12947228"}, {"ref": "mohammadkashifunique/exercise-introduction", "kernel_id": "12508462"}, {"ref": "doaadoaa/to-understand-data", "kernel_id": "12071055"}, {"ref": "doaadoaa/house-prediction-final", "kernel_id": "12310538"}, {"ref": "doaadoaa/note-for-house-com", "kernel_id": "12286654"}, {"ref": "hhp07022000/housing-price-prediction-top-1", "kernel_id": "12473309"}, {"ref": "masoudranjbaran/exercise-machine-learning-competitions", "kernel_id": "12369159"}, {"ref": "tabriznagiyev/exercise-machine-learning-competitions", "kernel_id": "12671158"}, {"ref": "tabriznagiyev/exercise-random-forests", "kernel_id": "12671026"}, {"ref": "tabriznagiyev/exercise-model-validation", "kernel_id": "12620024"}, {"ref": "tabriznagiyev/exercise-underfitting-and-overfitting", "kernel_id": "12622589"}, {"ref": "tabriznagiyev/exercise-your-first-machine-learning-model", "kernel_id": "12611875"}, {"ref": "vaishnavikulkarni26/exercise-machine-learning-competitions", "kernel_id": "12649123"}, {"ref": "bvsrohith/house-price-competition-kaggle", "kernel_id": "12003009"}, {"ref": "alistairdouglas/a-simple-guide-to-advanced-scikit-learn-pipelines", "kernel_id": "12649594"}, {"ref": "alistairdouglas/advanced-pipelines", "kernel_id": "12299061"}, {"ref": "alistairdouglas/house-pricing-prediction-kaggle-learn", "kernel_id": "12112455"}, {"ref": "adhineshreddy/exercise-machine-learning-competitions", "kernel_id": "12453770"}, {"ref": "kintanpitaloka/exercise-your-first-machine-learning-model", "kernel_id": "12698854"}, {"ref": "kintanpitaloka/exercise-model-validation", "kernel_id": "12718424"}, {"ref": "kintanpitaloka/exercise-random-forests", "kernel_id": "12719549"}, {"ref": "kostiantynperun/exercise-random-forests", "kernel_id": "12221923"}, {"ref": "nitinsaxena/exercise-introduction", "kernel_id": "12074931"}, {"ref": "ayushmanpranav/exercise-xgboost", "kernel_id": "12024120"}, {"ref": "ayushmanpranav/exercise-data-leakage", "kernel_id": "12024234"}, {"ref": "jorgeherreraloz/exercise-your-first-machine-learning-model", "kernel_id": "12029049"}, {"ref": "dkanti/exercise-data-leakage", "kernel_id": "12255319"}, {"ref": "bijayamanandhar/exercise-your-first-machine-learning-model", "kernel_id": "12329302"}, {"ref": "halfoflisa/exercise-model-validation", "kernel_id": "12425236"}, {"ref": "halfoflisa/exercise-your-first-machine-learning-model", "kernel_id": "12310109"}, {"ref": "rushi0020/exercise-machine-learning-competitions", "kernel_id": "12909337"}, {"ref": "sumedhdivekar/multiple-linear-regression-house-prices-prediction", "kernel_id": "12778385"}, {"ref": "kareembakli98/exercise-machine-learning-competitions", "kernel_id": "12308843"}, {"ref": "christenthomas/exercise-your-first-machine-learning-model", "kernel_id": "12517165"}, {"ref": "iamyajat/top-9-housing-prices-xgboost", "kernel_id": "12744799"}, {"ref": "huangjuju/exercise-underfitting-and-overfitting", "kernel_id": "12300132"}, {"ref": "saeedshaban/exercise-model-validation", "kernel_id": "12383160"}, {"ref": "saeedshaban/exercise-your-first-machine-learning-model", "kernel_id": "12328346"}, {"ref": "zenchong/ex-knn", "kernel_id": "12051485"}, {"ref": "zenchong/ex-linearregression", "kernel_id": "12051438"}, {"ref": "isteve69/exercise-introduction", "kernel_id": "12664755"}, {"ref": "sumedhagupta01/exercise-introduction", "kernel_id": "12087898"}, {"ref": "michaelethanme/exercise-categorical-variables", "kernel_id": "12002609"}, {"ref": "dsamitgarg/ml-first-machine-learning-model", "kernel_id": "12394735"}, {"ref": "ahmadraza314/exercise-machine-learning-competitions", "kernel_id": "12431647"}, {"ref": "vinamredhar/notebook2d1e6a0353", "kernel_id": "12071142"}, {"ref": "swarajlede/exercise-missing-values", "kernel_id": "12840611"}, {"ref": "sabarnipaul/exercise-machine-learning-competitions", "kernel_id": "12305604"}, {"ref": "huanlei/exercise-underfitting-and-overfitting", "kernel_id": "12120583"}, {"ref": "huanlei/exercise-model-validation", "kernel_id": "12119684"}, {"ref": "huanlei/exercise-your-first-machine-learning-model", "kernel_id": "12118981"}, {"ref": "huanlei/exercise-random-forests", "kernel_id": "12133173"}, {"ref": "huanlei/exercise-missing-values", "kernel_id": "12212024"}, {"ref": "geekspeakerdeep/solve-with-best-score-possible", "kernel_id": "12813469"}, {"ref": "mertyesilbursa/house-prices-pipeline-and-xgboost", "kernel_id": "12509021"}, {"ref": "luismangubat/exercise-random-forests", "kernel_id": "12229274"}, {"ref": "luismangubat/exercise-machine-learning-competitions", "kernel_id": "12246868"}, {"ref": "holzersoahita/exercise-pipelines", "kernel_id": "12412765"}, {"ref": "holzersoahita/exercise-data-leakage", "kernel_id": "12436240"}, {"ref": "alinasahoo/exercise-machine-learning-competitions", "kernel_id": "12209747"}, {"ref": "alinasahoo/exercise-introduction", "kernel_id": "12222488"}, {"ref": "sagarbk/exercise-pipelines", "kernel_id": "12600428"}, {"ref": "sagarbk/exercise-categorical-variables", "kernel_id": "12600211"}, {"ref": "sagarbk/exercise-missing-values", "kernel_id": "12581809"}, {"ref": "sagarbk/exercise-machine-learning-competitions", "kernel_id": "12581521"}, {"ref": "sagarbk/exercise-random-forests", "kernel_id": "12581485"}, {"ref": "sagarbk/exercise-underfitting-and-overfitting", "kernel_id": "12581337"}, {"ref": "sagarbk/exercise-xgboost", "kernel_id": "12617139"}, {"ref": "sagarbk/exercise-cross-validation", "kernel_id": "12616885"}, {"ref": "sagarbk/exercise-model-validation", "kernel_id": "12465089"}, {"ref": "zohaib30/exercise-your-first-machine-learning-model", "kernel_id": "12362153"}, {"ref": "chrisgodfrey012/ai-workshop-part-ii-task", "kernel_id": "12302931"}, {"ref": "chrisgodfrey012/housing-price-prediction", "kernel_id": "12419145"}, {"ref": "ireneelizabethsabu/notebookb32bd52656", "kernel_id": "12451642"}, {"ref": "ireneelizabethsabu/ai-workshop-part-ii-task", "kernel_id": "12303462"}, {"ref": "alishaangdembe/exercise-pipelines", "kernel_id": "12618078"}, {"ref": "amritaaanair/ai-workshop-part-ii-task", "kernel_id": "12307273"}, {"ref": "amritaaanair/ai-workshop-part-iv-task", "kernel_id": "12458397"}, {"ref": "emj688531/notebook5b5118ff1c", "kernel_id": "12308282"}, {"ref": "evilwong/exercise-missing-values", "kernel_id": "12565348"}, {"ref": "julianhamboyan/exercise-machine-learning-competitions-793498", "kernel_id": "12517616"}, {"ref": "swathinair/notebook7d0bafdc26", "kernel_id": "12340457"}, {"ref": "swathinair/exercise-random-forests", "kernel_id": "12461682"}, {"ref": "haarithaharidas/ai-workshop-part-ii-task", "kernel_id": "12325214"}, {"ref": "haarithaharidas/your-first-machine-learning-model", "kernel_id": "12417060"}, {"ref": "ireneraphael/ai-workshop-part-ii-task", "kernel_id": "12349730"}, {"ref": "cg1011/exercise-introduction", "kernel_id": "12828085"}, {"ref": "ashwinajith/ai-workshop-part-ii-task", "kernel_id": "12360085"}, {"ref": "dayababu/ai-workshop-part-ii-task", "kernel_id": "12355928"}, {"ref": "athirarkrishnan/ai-workshop-part-ii-task", "kernel_id": "12359203"}, {"ref": "lechunair/ai-workshop-part-ii-task", "kernel_id": "12359202"}, {"ref": "nayanarajan/ai-workshop-part-ii-task", "kernel_id": "12360179"}, {"ref": "nayanarajan/exercise-random-forests", "kernel_id": "12493184"}, {"ref": "zhexinyou/exercise-machine-learning-competitions", "kernel_id": "12387646"}, {"ref": "vikramjeetsinghs/exercise-introduction", "kernel_id": "12638792"}, {"ref": "dhruveldhopeter/ai-workshop-part-ii-task", "kernel_id": "12375125"}, {"ref": "nandanasony/ai-workshop-part-ii-task", "kernel_id": "12378045"}, {"ref": "nandanasony/notebookf132ce13fd", "kernel_id": "12487563"}, {"ref": "dhruvagrawal91/exercise-machine-learning-competitions", "kernel_id": "12441242"}, {"ref": "dhruvagrawal91/exercise-categorical-variables", "kernel_id": "12537168"}, {"ref": "dhruvagrawal91/exercise-xgboost", "kernel_id": "12692091"}, {"ref": "dhruvagrawal91/exercise-cross-validation", "kernel_id": "12633787"}, {"ref": "dhruvagrawal91/exercise-pipelines", "kernel_id": "12602495"}, {"ref": "drishyaudayan/ai-workshop-part-ii-task-c97da9", "kernel_id": "12388615"}, {"ref": "drishyaudayan/exercise-random-forests", "kernel_id": "12495079"}, {"ref": "sidharthsp/ai-workshop-part-ii-task", "kernel_id": "12392589"}, {"ref": "aswathia/ai-workshop-part-ii-task", "kernel_id": "12400268"}, {"ref": "aswathia/notebook9c9d5f91f8", "kernel_id": "12490306"}, {"ref": "rajdeep617/exercise-pipelines", "kernel_id": "12469381"}, {"ref": "soumyamathews/ai-workshop-part-ii-task", "kernel_id": "12460086"}, {"ref": "gautamvedprakash/ai-workshop-part-ii-task", "kernel_id": "12470537"}, {"ref": "probinkumarsah/exercise-underfitting-and-overfitting", "kernel_id": "12990093"}, {"ref": "aforsmithzismeee/exercise-model-validation", "kernel_id": "12961870"}, {"ref": "aforsmithzismeee/exercise-machine-learning-competitions", "kernel_id": "12974055"}, {"ref": "tranvukimanhk16hcm/exercise-missing-values", "kernel_id": "12999275"}, {"ref": "zouhairsegh/exercise-model-validation", "kernel_id": "12914389"}, {"ref": "zouhairsegh/exercise-your-first-machine-learning-model", "kernel_id": "12910503"}, {"ref": "shrey2299/exercise-your-first-machine-learning-model", "kernel_id": "12823653"}, {"ref": "azzamalmutairi/exercise-underfitting-and-overfitting", "kernel_id": "12925864"}, {"ref": "azzamalmutairi/exercise-random-forests", "kernel_id": "12925941"}, {"ref": "azzamalmutairi/exercise-machine-learning-competitions", "kernel_id": "12925989"}, {"ref": "azzamalmutairi/exercise-your-first-machine-learning-model", "kernel_id": "12922403"}, {"ref": "azzamalmutairi/exercise-model-validation", "kernel_id": "12922676"}, {"ref": "linsonbutts/exercise-random-forests", "kernel_id": "12851650"}, {"ref": "linsonbutts/exercise-underfitting-and-overfitting", "kernel_id": "12850783"}, {"ref": "linsonbutts/exercise-model-validation", "kernel_id": "12850509"}, {"ref": "linsonbutts/exercise-your-first-machine-learning-model", "kernel_id": "12850242"}, {"ref": "linsonbutts/exercise-machine-learning-competitions", "kernel_id": "12851799"}, {"ref": "jahsiahsanders/exercise-your-first-machine-learning-model", "kernel_id": "12856653"}, {"ref": "jahsiahsanders/exercise-model-validation", "kernel_id": "12871636"}, {"ref": "jahsiahsanders/exercise-underfitting-and-overfitting", "kernel_id": "12872145"}, {"ref": "jahsiahsanders/exercise-random-forests", "kernel_id": "12872264"}, {"ref": "jahsiahsanders/exercise-machine-learning-competitions", "kernel_id": "12872309"}, {"ref": "treywilson/exercise-your-first-machine-learning-model", "kernel_id": "12867016"}, {"ref": "treywilson/exercise-model-validation", "kernel_id": "12867143"}, {"ref": "treywilson/exercise-underfitting-and-overfitting", "kernel_id": "12867219"}, {"ref": "treywilson/exercise-random-forests", "kernel_id": "12867413"}, {"ref": "treywilson/exercise-machine-learning-competitions", "kernel_id": "12867635"}, {"ref": "jaziahweldon/exercise-machine-learning-competitions", "kernel_id": "12870823"}, {"ref": "jaziahweldon/exercise-model-validation", "kernel_id": "12902788"}, {"ref": "jaziahweldon/exercise-your-first-machine-learning-model", "kernel_id": "12902608"}, {"ref": "jaziahweldon/exercise-random-forests", "kernel_id": "12903175"}, {"ref": "jaziahweldon/exercise-underfitting-and-overfitting", "kernel_id": "12903048"}, {"ref": "jeremiahjones/exercise-random-forests", "kernel_id": "12885585"}, {"ref": "jeremiahjones/exercise-machine-learning-competitions", "kernel_id": "12885610"}, {"ref": "jeremiahjones/exercise-underfitting-and-overfitting", "kernel_id": "12885483"}, {"ref": "jeremiahjones/exercise-your-first-machine-learning-model", "kernel_id": "12885109"}, {"ref": "jeremiahjones/exercise-model-validation", "kernel_id": "12885407"}, {"ref": "nadiyadaniels/exercise-model-validation", "kernel_id": "12904723"}, {"ref": "nadiyadaniels/exercise-your-first-machine-learning-model", "kernel_id": "12904528"}, {"ref": "nadiyadaniels/exercise-underfitting-and-overfitting", "kernel_id": "12907296"}, {"ref": "nadiyadaniels/exercise-random-forests", "kernel_id": "12907982"}, {"ref": "nadiyadaniels/exercise-machine-learning-competitions", "kernel_id": "12908402"}, {"ref": "aziizal/exercise-machine-learning-competitions", "kernel_id": "12931592"}, {"ref": "aziizal/exercise-your-first-machine-learning-model", "kernel_id": "12923196"}, {"ref": "aziizal/exercise-model-validation", "kernel_id": "12923299"}, {"ref": "aziizal/exercise-underfitting-and-overfitting", "kernel_id": "12923329"}, {"ref": "aziizal/exercise-random-forests", "kernel_id": "12923384"}, {"ref": "kaylawilson16/exercise-model-validation", "kernel_id": "12926141"}, {"ref": "kaylawilson16/exercise-machine-learning-competitions", "kernel_id": "12926515"}, {"ref": "kaylawilson16/exercise-underfitting-and-overfitting", "kernel_id": "12926294"}, {"ref": "kaylawilson16/exercise-random-forests", "kernel_id": "12926408"}, {"ref": "kaylawilson16/exercise-your-first-machine-learning-model", "kernel_id": "12926035"}, {"ref": "nyashafrancis/exercise-underfitting-and-overfitting", "kernel_id": "12927407"}, {"ref": "nyashafrancis/exercise-model-validation", "kernel_id": "12927318"}, {"ref": "nyashafrancis/exercise-machine-learning-competitions", "kernel_id": "12927558"}, {"ref": "nyashafrancis/exercise-random-forests", "kernel_id": "12927455"}, {"ref": "roshawncox/exercise-random-forests", "kernel_id": "12938424"}, {"ref": "roshawncox/exercise-your-first-machine-learning-model", "kernel_id": "12937691"}, {"ref": "roshawncox/exercise-underfitting-and-overfitting", "kernel_id": "12938204"}, {"ref": "roshawncox/exercise-model-validation", "kernel_id": "12937997"}, {"ref": "puspitaayunugraheni/exercise-machine-learning-competitions", "kernel_id": "12951418"}, {"ref": "idtesting/exercise-your-first-machine-learning-model", "kernel_id": "12985272"}, {"ref": "toorrees/exercise-machine-learning-competitions", "kernel_id": "13060455"}, {"ref": "adebayo/exercise-data-leakage", "kernel_id": "13263626"}, {"ref": "javedali99/first-machine-learning-model-housing-prices", "kernel_id": "13509659"}, {"ref": "trapdet/exercise-categorical-variables", "kernel_id": "13550616"}, {"ref": "justinshenk/exercise-introduction", "kernel_id": "13033810"}, {"ref": "ajeeto/exercise-categorical-variables", "kernel_id": "13355324"}, {"ref": "sowole/exercise-random-forests", "kernel_id": "13819136"}, {"ref": "sowole/exercise-machine-learning-competitions", "kernel_id": "13819209"}, {"ref": "sowole/exercise-model-validation", "kernel_id": "13818809"}, {"ref": "lisamona/exercise-machine-learning-competitions", "kernel_id": "13276558"}, {"ref": "heylav/pipelines-gradientboosting-top-3", "kernel_id": "13813498"}, {"ref": "harkiratkaur/exercise-model-validation", "kernel_id": "13000257"}, {"ref": "harkiratkaur/exercise-machine-learning-competitions", "kernel_id": "13083644"}, {"ref": "abdelhai/predict-housing-prices-using-xgboost", "kernel_id": "13063339"}, {"ref": "abdelhai/a-thorough-data-analysis-with-python", "kernel_id": "13860919"}, {"ref": "lechat11/randomforest-preprocessing-in-one-pipeline", "kernel_id": "13702872"}, {"ref": "petracarrion/exercise-your-first-machine-learning-model", "kernel_id": "13833753"}, {"ref": "petracarrion/exercise-model-validation", "kernel_id": "13834223"}, {"ref": "petracarrion/exercise-categorical-variables", "kernel_id": "13838506"}, {"ref": "petracarrion/exercise-missing-values", "kernel_id": "13837542"}, {"ref": "petracarrion/exercise-introduction", "kernel_id": "13837001"}, {"ref": "petracarrion/exercise-random-forests", "kernel_id": "13835534"}, {"ref": "petracarrion/exercise-machine-learning-competitions", "kernel_id": "13835587"}, {"ref": "petracarrion/exercise-underfitting-and-overfitting", "kernel_id": "13835184"}, {"ref": "petracarrion/exercise-data-leakage", "kernel_id": "13859982"}, {"ref": "petracarrion/exercise-pipelines", "kernel_id": "13857745"}, {"ref": "petracarrion/exercise-xgboost", "kernel_id": "13859234"}, {"ref": "petracarrion/exercise-cross-validation", "kernel_id": "13858085"}, {"ref": "virenkapadia/exercise-model-validation", "kernel_id": "13096353"}, {"ref": "malavika8/exercise-your-first-machine-learning-model", "kernel_id": "13458671"}, {"ref": "abhinavpadmawar20/exercise-introduction", "kernel_id": "13049492"}, {"ref": "abhinavpadmawar20/exercise-machine-learning-competitions", "kernel_id": "13040032"}, {"ref": "abhinavpadmawar20/exercise-underfitting-and-overfitting", "kernel_id": "13039469"}, {"ref": "abhinavpadmawar20/exercise-random-forests", "kernel_id": "13039923"}, {"ref": "abhinavpadmawar20/exercise-my-first-machine-learning-model", "kernel_id": "13021131"}, {"ref": "abhinavpadmawar20/exercise-model-validation", "kernel_id": "13021500"}, {"ref": "abhinavpadmawar20/exercise-missing-values", "kernel_id": "13199772"}, {"ref": "raju6130/exercise-machine-learning-competitions", "kernel_id": "13868902"}, {"ref": "nisharathod/exercise-model-validation", "kernel_id": "13752142"}, {"ref": "nisharathod/exercise-underfitting-and-overfitting", "kernel_id": "13753858"}, {"ref": "nisharathod/exercise-your-first-machine-learning-model", "kernel_id": "13746279"}, {"ref": "nisharathod/exercise-pipelines", "kernel_id": "13874450"}, {"ref": "iamsds123/exercise-basic-data-exploration-daily", "kernel_id": "13633430"}, {"ref": "akashkash/notebook4be3ac989f", "kernel_id": "13250283"}, {"ref": "adexicity/house-price-prediction-using-gradient-boost", "kernel_id": "13997515"}, {"ref": "amolambkar/principle-component-analysis-pca", "kernel_id": "13102248"}, {"ref": "sarthakniwate13/exercise-first-machine-learning-model", "kernel_id": "13137248"}, {"ref": "codenamekash/exercise-missing-values", "kernel_id": "13104312"}, {"ref": "rhushabhgedam/exercise-pipelines", "kernel_id": "13746467"}, {"ref": "ahsanzaman/exercise-machine-learning-competitions", "kernel_id": "13644408"}, {"ref": "ahsanzaman/exercise-random-forests", "kernel_id": "13824651"}, {"ref": "isissantoscosta/exercise-model-validation", "kernel_id": "13585152"}, {"ref": "isissantoscosta/exercise-machine-learning-competitions", "kernel_id": "13594471"}, {"ref": "millendroy/house-dataanalysis-salespriceprediction", "kernel_id": "13816490"}, {"ref": "drshahnawazansari/exercise-categorical-variables", "kernel_id": "13205391"}, {"ref": "unreal4884/basic-eda-operations", "kernel_id": "13934188"}, {"ref": "nitinrana2555/house-price-pred", "kernel_id": "13667441"}, {"ref": "roocey/xgboost-test", "kernel_id": "13349450"}, {"ref": "cesarfernandez/housing-price", "kernel_id": "13563748"}, {"ref": "jedrzejdudzicz/housing-prices-prediction-top-2", "kernel_id": "13604082"}, {"ref": "aadeshbaral/housing-price-prediction-top-6", "kernel_id": "13653677"}, {"ref": "aadeshbaral/housing-price-prediction-top-4", "kernel_id": "13951009"}, {"ref": "akinoladejodamilare/exercise-your-first-machine-learning-model", "kernel_id": "13502522"}, {"ref": "owaismujtabakhanday/exercise-your-first-machine-learning-model", "kernel_id": "13119037"}, {"ref": "nicohrmann/pipeline-from-intermediate-ml-course-xgb", "kernel_id": "13286528"}, {"ref": "rouansiri/machine-learning-competitions", "kernel_id": "13710702"}, {"ref": "bisheshworneupane/exercise-missing-values", "kernel_id": "13423355"}, {"ref": "bisheshworneupane/exercise-random-forests", "kernel_id": "13422237"}, {"ref": "shayantaherian/global-wheat-detection-inference", "kernel_id": "13414143"}, {"ref": "anishabeck/exercise-missing-values", "kernel_id": "13131903"}, {"ref": "amankumar270295/housing-prices-competition", "kernel_id": "13316610"}, {"ref": "himanshugupta64/exercise-xgboost", "kernel_id": "13536253"}, {"ref": "himanshugupta64/exercise-your-first-machine-learning-model", "kernel_id": "13441797"}, {"ref": "melihcanyardi/housing-prices-competition", "kernel_id": "13726477"}, {"ref": "sandeepyadawad/exercise-machine-learning-competitions", "kernel_id": "13916362"}, {"ref": "mrcygnuss/iowa-housing-prices", "kernel_id": "13060012"}, {"ref": "petraderecskei/exercise-missing-values", "kernel_id": "13405854"}, {"ref": "petraderecskei/exercise-random-forests", "kernel_id": "13389136"}, {"ref": "insanegupta/exercise-introduction", "kernel_id": "13634528"}, {"ref": "joshuaudofia/exercise-your-first-machine-learning-model", "kernel_id": "13909254"}, {"ref": "stpaulmnusa/exercise-machine-learning-competitions", "kernel_id": "13314918"}, {"ref": "vinicius20/exercise-underfitting-and-overfitting", "kernel_id": "13942745"}, {"ref": "vinicius20/exercise-random-forests", "kernel_id": "13951864"}, {"ref": "vinicius20/exercise-machine-learning-competitions", "kernel_id": "13965519"}, {"ref": "vinicius20/exercise-your-first-machine-learning-model", "kernel_id": "13880915"}, {"ref": "vinicius20/exercise-model-validation", "kernel_id": "13928895"}, {"ref": "topdownlee/basic-data-exploration", "kernel_id": "13975556"}, {"ref": "artyomkolas/housing-prices-nanpredct-featurselect-top-1", "kernel_id": "13101372"}, {"ref": "saswatamukherjee/exercise-machine-learning-competitions", "kernel_id": "13856167"}, {"ref": "shelvigarg/exercise-xgboost", "kernel_id": "13134419"}, {"ref": "shelvigarg/exercise-data-leakage", "kernel_id": "13134432"}, {"ref": "shelvigarg/exercise-cross-validation", "kernel_id": "13133789"}, {"ref": "shelvigarg/exercise-pipelines", "kernel_id": "13130595"}, {"ref": "shelvigarg/exercise-categorical-variables", "kernel_id": "13129274"}, {"ref": "vikasukani/pipeline-to-solve-house-price-prediction", "kernel_id": "13482741"}, {"ref": "mohammadjamshedalam/exercise-your-first-machine-learning-model", "kernel_id": "13853107"}, {"ref": "architjee/exercise-model-validation", "kernel_id": "13789874"}, {"ref": "petarmicevski/exercise-machine-learning-competitions", "kernel_id": "13553630"}, {"ref": "umangsachdev/exercise-introduction", "kernel_id": "13753136"}, {"ref": "petergirgis/exercise-pipelines", "kernel_id": "13627547"}, {"ref": "alexanderkhachikyan/xgbregressor-with-piepeline-and-gridsearch", "kernel_id": "13815461"}, {"ref": "minjepark7/house", "kernel_id": "13282695"}, {"ref": "profammons/exercise-your-first-machine-learning-model", "kernel_id": "13067861"}, {"ref": "mellebrouwer/data-science-workflow-housing", "kernel_id": "13306109"}, {"ref": "timle8/exercise-machine-learning-competitions", "kernel_id": "13314458"}, {"ref": "abhirajdas/exercise-machine-learning-competitions", "kernel_id": "13885147"}, {"ref": "roshangowda/exercise-random-forests", "kernel_id": "13591724"}, {"ref": "roshangowda/exercise-your-first-machine-learning-model", "kernel_id": "13326619"}, {"ref": "sumedhdivekar/principle-component-analysis-pca-lab2", "kernel_id": "13179370"}, {"ref": "purvitvashishtha/exercise-data-leakage", "kernel_id": "13632636"}, {"ref": "fatiheneskse/exercise-underfitting-and-overfitting", "kernel_id": "13010333"}, {"ref": "daniloyukihara/my-first-ml-model", "kernel_id": "13485684"}, {"ref": "semeka13/exercise-machine-learning-competitions", "kernel_id": "13294748"}, {"ref": "michaelfumery/exercice-pr-diction-de-prix-de-maison", "kernel_id": "13058551"}, {"ref": "tarasnovokhatsko/exercise-model-validation", "kernel_id": "13304352"}, {"ref": "cg1011/exercise-missing-values", "kernel_id": "13248896"}, {"ref": "ursantchoutengnjike/exercise-xgboost", "kernel_id": "13884856"}, {"ref": "lucapianta/exercise-your-first-machine-learning-model", "kernel_id": "13966069"}, {"ref": "austinhoward/exercise-machine-learning-competitions", "kernel_id": "13514802"}, {"ref": "chananna/homedata-fin", "kernel_id": "13403233"}, {"ref": "zouhairsegh/exercise-underfitting-and-overfitting", "kernel_id": "13035044"}, {"ref": "zouhairsegh/exercise-random-forests", "kernel_id": "13036953"}, {"ref": "zouhairsegh/exercise-machine-learning-competitions", "kernel_id": "13037173"}, {"ref": "enesyildirim7/machine-learning-competitions", "kernel_id": "13367342"}, {"ref": "dominicnyambane/exercise-missing-values", "kernel_id": "13481456"}, {"ref": "dominicnyambane/exercise-categorical-variables", "kernel_id": "13483972"}, {"ref": "dominicnyambane/exercise-pipelines", "kernel_id": "13486060"}, {"ref": "dominicnyambane/exercise-cross-validation", "kernel_id": "13486523"}, {"ref": "dominicnyambane/exercise-data-leakage", "kernel_id": "13530428"}, {"ref": "dominicnyambane/exercise-xgboost", "kernel_id": "13529349"}, {"ref": "lucienmensah/exercise-your-first-machine-learning-model", "kernel_id": "13137345"}, {"ref": "lucienmensah/exercise-underfitting-and-overfitting", "kernel_id": "13139598"}, {"ref": "bharatkumarmali/exercise-machine-learning-competitions", "kernel_id": "13710993"}, {"ref": "waleedmahmoudramdan/exercise-your-first-machine-learning-model", "kernel_id": "13108610"}, {"ref": "waleedmahmoudramdan/exercise-model-validation", "kernel_id": "13971055"}, {"ref": "omkarnayaks/exercise-pipelines", "kernel_id": "13235661"}, {"ref": "buraktoptas/exercise-machine-learning-competitions", "kernel_id": "13034337"}, {"ref": "yusufpala/exercise-machine-learning-competitions", "kernel_id": "13815931"}, {"ref": "ubioobu/exercise-machine-learning-competitions", "kernel_id": "13392760"}, {"ref": "wiwiteria/exercise-pipelines", "kernel_id": "13801919"}, {"ref": "wiwiteria/exercise-cross-validation", "kernel_id": "13808289"}, {"ref": "wiwiteria/exercise-missing-values", "kernel_id": "13754854"}, {"ref": "wiwiteria/exercise-categorical-variables", "kernel_id": "13775742"}, {"ref": "wiwiteria/exercise-data-leakage", "kernel_id": "13855626"}, {"ref": "wiwiteria/exercise-xgboost", "kernel_id": "13837963"}, {"ref": "wiwiteria/exercise-introduction", "kernel_id": "13726386"}, {"ref": "wiwiteria/exercise-underfitting-and-overfitting", "kernel_id": "13630199"}, {"ref": "wiwiteria/exercise-random-forests", "kernel_id": "13660728"}, {"ref": "wiwiteria/exercise-machine-learning-competitions", "kernel_id": "13677592"}, {"ref": "wiwiteria/exercise-your-first-machine-learning-model", "kernel_id": "13562623"}, {"ref": "wiwiteria/exercise-model-validation", "kernel_id": "13603795"}, {"ref": "kaliappanyadav/exercise-machine-learning-competitions", "kernel_id": "13538452"}, {"ref": "snehagupta02/exercise-machine-learning-competitions", "kernel_id": "13953625"}, {"ref": "muneebzafarqureshi/exercise-machine-learning-competitions", "kernel_id": "13600471"}, {"ref": "suszol/exercise-machine-learning-competitions", "kernel_id": "13748533"}, {"ref": "aviralb13/home-data-ml", "kernel_id": "13897604"}, {"ref": "gabrielpereira98/exercise-machine-learning-competitions", "kernel_id": "13837975"}, {"ref": "khebel/exercise-pipelines", "kernel_id": "13950264"}, {"ref": "albertespin/pre-processing-gradient-boosting-top-5", "kernel_id": "13679616"}, {"ref": "ccnguyenn/exercise-your-first-machine-learning-model", "kernel_id": "13766535"}, {"ref": "brettbeaulieu/exercise-machine-learning-competitions", "kernel_id": "13890941"}, {"ref": "dennisho/exercise-model-validation", "kernel_id": "13839866"}, {"ref": "dennisho/exercise-your-first-machine-learning-model", "kernel_id": "13839292"}, {"ref": "dennisho/exercise-machine-learning-competitions", "kernel_id": "13842745"}, {"ref": "dennisho/exercise-random-forests", "kernel_id": "13842664"}, {"ref": "dennisho/exercise-underfitting-and-overfitting", "kernel_id": "13841408"}, {"ref": "dennisho/exercise-cross-validation", "kernel_id": "13951793"}, {"ref": "dennisho/exercise-xgboost", "kernel_id": "13952077"}, {"ref": "dennisho/exercise-pipelines", "kernel_id": "13949976"}, {"ref": "dennisho/exercise-categorical-variables", "kernel_id": "13948857"}, {"ref": "dennisho/exercise-missing-values", "kernel_id": "13948018"}, {"ref": "dennisho/exercise-introduction", "kernel_id": "13947730"}, {"ref": "dennisho/exercise-data-leakage", "kernel_id": "13952772"}, {"ref": "anastasiasamarina/exercise-underfitting-and-overfitting", "kernel_id": "13826761"}, {"ref": "anastasiasamarina/exercise-model-validation", "kernel_id": "13826651"}, {"ref": "anastasiasamarina/exercise-your-first-machine-learning-model", "kernel_id": "13826512"}, {"ref": "anastasiasamarina/exercise-random-forests", "kernel_id": "13826944"}, {"ref": "hossamebrahim/your-first-machine-learning-model", "kernel_id": "13921692"}, {"ref": "hossamebrahim/house-price-prediction-apply-in-ml", "kernel_id": "13874840"}, {"ref": "gabster0191/exercise-introduction", "kernel_id": "14979809"}, {"ref": "hnawat/exercise-pipelines", "kernel_id": "14935852"}, {"ref": "flor991/exercise-machine-learning-competitions", "kernel_id": "14853325"}, {"ref": "dignil/ensemble-to-predict-house-prices", "kernel_id": "14422496"}, {"ref": "mohammadaarif/exercise-model-validation", "kernel_id": "14241037"}, {"ref": "mohammadaarif/exercise-machine-learning-competitions", "kernel_id": "14993968"}, {"ref": "ryndova/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "14413258"}, {"ref": "elenamarelmi/housing-prices-competition-v1", "kernel_id": "14371351"}, {"ref": "leeyj0511/for-starter-top-30-machine-learning-pipelines", "kernel_id": "14898518"}, {"ref": "godzill22/house-price-prediction-improved-model-top-8", "kernel_id": "14413849"}, {"ref": "swimbeginner/housing-price-prediction-exercise", "kernel_id": "14113182"}, {"ref": "kwanghoum/flip-housing-prices", "kernel_id": "14552140"}, {"ref": "jcllobet/basic-data-exploration", "kernel_id": "14327338"}, {"ref": "jcrizk/learn-house-comp", "kernel_id": "14583448"}, {"ref": "dataset0/pipelines-reference", "kernel_id": "14280414"}, {"ref": "rodrigopasqualucci/start-here-pycaret-housing-prices", "kernel_id": "14396720"}, {"ref": "meghamgarg/houseprices", "kernel_id": "14928542"}, {"ref": "wuxinyun/first-individual-submission", "kernel_id": "14798530"}, {"ref": "sureshmecad/exercise-machine-learning-competitions", "kernel_id": "14084452"}, {"ref": "sureshmecad/exercise-model-validation", "kernel_id": "14083941"}, {"ref": "sureshmecad/exercise-underfitting-and-overfitting", "kernel_id": "14084115"}, {"ref": "sureshmecad/housing-prices-kaggle-learners", "kernel_id": "14084656"}, {"ref": "sureshmecad/exercise-categorical-variables", "kernel_id": "14101613"}, {"ref": "sureshmecad/exercise-pipelines", "kernel_id": "14101956"}, {"ref": "sureshmecad/exercise-cross-validation", "kernel_id": "14102181"}, {"ref": "amrelbana/exercise-machine-learning-competitions", "kernel_id": "14231183"}, {"ref": "mrtoast/mario-s-notes-applied-to-housing-data", "kernel_id": "14146900"}, {"ref": "jmhuertasg/exercise-missing-values", "kernel_id": "14719100"}, {"ref": "jmhuertasg/exercise-cross-validation", "kernel_id": "14820197"}, {"ref": "jmhuertasg/exercise-pipelines", "kernel_id": "14780430"}, {"ref": "ajayraorao/exercise-categorical-variables", "kernel_id": "14109574"}, {"ref": "ajayraorao/exercise-underfitting-and-overfitting", "kernel_id": "14098678"}, {"ref": "ajayraorao/exercise-random-forests", "kernel_id": "14098899"}, {"ref": "yutaroshimizu/exercise-xgboost", "kernel_id": "14101406"}, {"ref": "rahmatsantosa/exercise-model-validation", "kernel_id": "14813505"}, {"ref": "rashingh/exercise-underfitting-and-overfitting", "kernel_id": "14535006"}, {"ref": "rashingh/exercise-random-forests", "kernel_id": "14535548"}, {"ref": "rashingh/exercise-model-validation", "kernel_id": "14533958"}, {"ref": "rashingh/exercise-your-first-machine-learning-model", "kernel_id": "14533505"}, {"ref": "samuelmbah/exercise-machine-learning-competitions", "kernel_id": "14125450"}, {"ref": "bhardwaj01/exercise-your-first-machine-learning-model", "kernel_id": "14077721"}, {"ref": "bhardwaj01/exercise-random-forests", "kernel_id": "14100502"}, {"ref": "bhardwaj01/exercise-machine-learning-competitions", "kernel_id": "14100636"}, {"ref": "bhardwaj01/exercise-introduction", "kernel_id": "14118634"}, {"ref": "bhardwaj01/exercise-missing-values", "kernel_id": "14119070"}, {"ref": "denizhanedeer/cal-house-model", "kernel_id": "14168106"}, {"ref": "thilotosanchez/housing-prices-competition", "kernel_id": "14560103"}, {"ref": "mahmoudyasser/exercise-machine-learning-competitions", "kernel_id": "14242372"}, {"ref": "mahmoudyasser/exercise-introduction", "kernel_id": "14280823"}, {"ref": "isissantoscosta/exercise-introduction", "kernel_id": "14591121"}, {"ref": "psrajput/housing-prices-competition-linear-regression", "kernel_id": "14811868"}, {"ref": "unreal4884/house-prices-prediction", "kernel_id": "14076662"}, {"ref": "satyamgoyal/exercise-introduction", "kernel_id": "14626520"}, {"ref": "satyamgoyal/missing-values", "kernel_id": "14942149"}, {"ref": "ayushkashyap/exercise-your-first-machine-learning-model", "kernel_id": "14638620"}, {"ref": "ayushkashyap/exercise-model-validation", "kernel_id": "14646555"}, {"ref": "ayushkashyap/exercise-random-forests", "kernel_id": "14662400"}, {"ref": "ayushkashyap/exercise-underfitting-and-overfitting", "kernel_id": "14662250"}, {"ref": "jmsayson/exercise-pipelines", "kernel_id": "14582116"}, {"ref": "shreyabhatnagar/exercise-machine-learning-competitions", "kernel_id": "14686923"}, {"ref": "bushrawaheed/exercise-missing-values", "kernel_id": "14441370"}, {"ref": "bushrawaheed/exercise-machine-learning-competitions", "kernel_id": "14186926"}, {"ref": "bushrawaheed/exercise-your-first-machine-learning-model", "kernel_id": "14085857"}, {"ref": "simpleaccount/auto-data-formation", "kernel_id": "14265661"}, {"ref": "guptadivyansh/exercise-machine-learning-competitions", "kernel_id": "14352820"}, {"ref": "guptadivyansh/exercise-categorical-variables", "kernel_id": "14393290"}, {"ref": "navyamartin/notebook-housing", "kernel_id": "14456925"}, {"ref": "ritikpnayak/a-comprehensive-simple-linear-regression-model-1", "kernel_id": "14038469"}, {"ref": "ajaypalsinghlo/home-data-for-ml-course-housing-prices", "kernel_id": "14084149"}, {"ref": "jovan100janovic/exercise-pipelines", "kernel_id": "14990248"}, {"ref": "ngabonzizajackson/exercise-machine-learning-competitions", "kernel_id": "14700918"}, {"ref": "gtatiana/house-price-feature-engineering-random-forest", "kernel_id": "14498948"}, {"ref": "martinvega/exercise-xgboost", "kernel_id": "14133500"}, {"ref": "razamh/hp-machine-learning-competitions", "kernel_id": "14768268"}, {"ref": "rushikeshlavate/different-ways-to-handle-categorical-data", "kernel_id": "14023506"}, {"ref": "kieranyogaraj/housing-prices-competition", "kernel_id": "14593611"}, {"ref": "swasthiksomayaji/exercise-machine-learning-competitions", "kernel_id": "14682604"}, {"ref": "arnoldlim/housing-prices-kaggle-competition", "kernel_id": "14516289"}, {"ref": "anamagalhaes/exercise-your-first-machine-learning-model", "kernel_id": "14655928"}, {"ref": "kjeevitha/house-prices-machine-learning-competitions", "kernel_id": "14389603"}, {"ref": "ajay1881/mean-absolute-error-mae", "kernel_id": "14725185"}, {"ref": "joshuaudofia/exercise-categorical-variables", "kernel_id": "14173053"}, {"ref": "christophameseder/house-prices-beginner", "kernel_id": "14080415"}, {"ref": "aimenjaved1/exercise-underfitting-and-overfitting", "kernel_id": "14500394"}, {"ref": "aimenjaved1/exercise-random-forests", "kernel_id": "14500431"}, {"ref": "aimenjaved1/exercise-machine-learning-competitions", "kernel_id": "14500453"}, {"ref": "aimenjaved1/exercise-your-first-machine-learning-model", "kernel_id": "14499906"}, {"ref": "aimenjaved1/exercise-model-validation", "kernel_id": "14500244"}, {"ref": "jaycuti/exercise-introduction", "kernel_id": "14666578"}, {"ref": "marionhesse/random-forest-for-house-price-prediction", "kernel_id": "14335339"}, {"ref": "sidrahabdullah/exercise-random-forests", "kernel_id": "14748030"}, {"ref": "sidrahabdullah/exercise-machine-learning-competitions", "kernel_id": "14748247"}, {"ref": "sidrahabdullah/exercise-underfitting-and-overfitting", "kernel_id": "14725724"}, {"ref": "sidrahabdullah/exercise-your-first-machine-learning-model", "kernel_id": "14695443"}, {"ref": "sidrahabdullah/exercise-model-validation", "kernel_id": "14716066"}, {"ref": "sidrahabdullah/exercise-missing-values", "kernel_id": "14836609"}, {"ref": "nikolaigorbushin/house-pricing-competition-learn-user", "kernel_id": "14395657"}, {"ref": "yejining99/three-steps-to-neural-network", "kernel_id": "14108169"}, {"ref": "sudipsamanta35/exercise-pipelines", "kernel_id": "14197288"}, {"ref": "zachseesholtz/exercise-machine-learning-competitions", "kernel_id": "14736436"}, {"ref": "zachseesholtz/exercise-underfitting-and-overfitting", "kernel_id": "14736339"}, {"ref": "zachseesholtz/exercise-random-forests", "kernel_id": "14736404"}, {"ref": "zachseesholtz/exercise-your-first-machine-learning-model", "kernel_id": "14735896"}, {"ref": "zachseesholtz/exercise-model-validation", "kernel_id": "14736205"}, {"ref": "isaacduenas/exercise-random-forests", "kernel_id": "14763669"}, {"ref": "krishnakumarkottakki/notebook72170590e7", "kernel_id": "14489985"}, {"ref": "omarhammemi/easy-to-undarstand", "kernel_id": "14781151"}, {"ref": "markstent/house-prices-preprocessing-and-modelling", "kernel_id": "14473217"}, {"ref": "hasnaakbarali/exercise-your-first-machine-learning-model", "kernel_id": "14212530"}, {"ref": "lucapianta/exercise-model-validation", "kernel_id": "14310473"}, {"ref": "lucapianta/exercise-underfitting-and-overfitting", "kernel_id": "14310657"}, {"ref": "lucapianta/exercise-random-forests", "kernel_id": "14310916"}, {"ref": "samfavvlogs/exercise-missing-values", "kernel_id": "14345928"}, {"ref": "samfavvlogs/exercise-introduction", "kernel_id": "14345106"}, {"ref": "samfavvlogs/exercise-categorical-variables", "kernel_id": "14350704"}, {"ref": "samfavvlogs/exercise-cross-validation", "kernel_id": "14353648"}, {"ref": "juliotorniero/predictions-using-feature-optimization-top-4", "kernel_id": "14093065"}, {"ref": "juliotorniero/straightforward-gbr-based-on-feature-correlations", "kernel_id": "14055969"}, {"ref": "comedu/house-price-predict", "kernel_id": "14196427"}, {"ref": "wonjinyang/exercise-machine-learning-competitions", "kernel_id": "14064714"}, {"ref": "wonjinyang/exercise-introduction", "kernel_id": "14076459"}, {"ref": "wonjinyang/exercise-missing-values", "kernel_id": "14087927"}, {"ref": "richardrejefski/exercise-random-forests", "kernel_id": "14737724"}, {"ref": "richardrejefski/exercise-model-validation", "kernel_id": "14737505"}, {"ref": "richardrejefski/exercise-underfitting-and-overfitting", "kernel_id": "14737640"}, {"ref": "richardrejefski/exercise-your-first-machine-learning-model", "kernel_id": "14737340"}, {"ref": "kiyounglee/exercise-underfitting-and-overfitting", "kernel_id": "14741418"}, {"ref": "pythonkumar/solution-time-log-transform-easiest-explained", "kernel_id": "14519576"}, {"ref": "ayushdhingra/housing-prices-self", "kernel_id": "14144216"}, {"ref": "dawool1218/housing-prices-210209-ml-p", "kernel_id": "14690186"}, {"ref": "anagnotakisp/exercise-machine-learning-competitions", "kernel_id": "14560709"}, {"ref": "prabhavd/housing-prices-competition-pipelines", "kernel_id": "14114740"}, {"ref": "kacperfernandez/exercise-missing-values", "kernel_id": "14122907"}, {"ref": "leizhao2020/exercise-machine-learning-competitions", "kernel_id": "14064238"}, {"ref": "ulziidorjkhand/housing-competition", "kernel_id": "14684864"}, {"ref": "joshikham/exercise-machine-learning-competitions", "kernel_id": "14502416"}, {"ref": "kshitijchavan/exercise-random-forests", "kernel_id": "14122937"}, {"ref": "kshitijchavan/exercise-underfitting-and-overfitting", "kernel_id": "14122678"}, {"ref": "kshitijchavan/exercise-model-validation", "kernel_id": "14122160"}, {"ref": "kshitijchavan/exercise-your-first-machine-learning-model", "kernel_id": "14121746"}, {"ref": "kshitijchavan/exercise-missing-values", "kernel_id": "14179361"}, {"ref": "kshitijchavan/exercise-introduction", "kernel_id": "14178851"}, {"ref": "kshitijchavan/exercise-data-leakage", "kernel_id": "14330533"}, {"ref": "kshitijchavan/exercise-xgboost", "kernel_id": "14329359"}, {"ref": "kshitijchavan/exercise-cross-validation", "kernel_id": "14242589"}, {"ref": "kshitijchavan/exercise-pipelines", "kernel_id": "14241583"}, {"ref": "kshitijchavan/exercise-categorical-variables", "kernel_id": "14240426"}, {"ref": "keshavsinghkr/exercise-your-first-machine-learning-model", "kernel_id": "14169242"}, {"ref": "zahidmahar/exercise-model-validation", "kernel_id": "14513233"}, {"ref": "zahidmahar/exercise-random-forests", "kernel_id": "14552795"}, {"ref": "zahidmahar/machine-learning-competitions", "kernel_id": "14552871"}, {"ref": "zahidmahar/exercise-underfitting-and-overfitting", "kernel_id": "14550684"}, {"ref": "vobachkhoi/exercise-your-first-machine-learning-model", "kernel_id": "14360106"}, {"ref": "sanandhu/exercise-machine-learning-competitions", "kernel_id": "14470092"}, {"ref": "edwardcokeriii/underfitting-and-overfitting", "kernel_id": "14701862"}, {"ref": "edwardcokeriii/random-forests", "kernel_id": "14701735"}, {"ref": "edwardcokeriii/model-validation", "kernel_id": "14701627"}, {"ref": "edwardcokeriii/basic-data-exploration", "kernel_id": "14700373"}, {"ref": "edwardcokeriii/your-first-machine-learning-model", "kernel_id": "14700971"}, {"ref": "mounaim99/housing-prices", "kernel_id": "14931028"}, {"ref": "rashauncollier/exercise-your-first-machine-learning-model", "kernel_id": "14743339"}, {"ref": "rashauncollier/exercise-model-validation", "kernel_id": "14743405"}, {"ref": "rashauncollier/exercise-underfitting-and-overfitting", "kernel_id": "14743466"}, {"ref": "rashauncollier/exercise-random-forests", "kernel_id": "14743509"}, {"ref": "donggeonhan/exercise-your-first-machine-learning-model", "kernel_id": "14707260"}, {"ref": "donggeonhan/exercise-model-validation", "kernel_id": "14707776"}, {"ref": "racheltrevino/exercise-your-first-machine-learning-model", "kernel_id": "14693188"}, {"ref": "racheltrevino/exercise-random-forests", "kernel_id": "14693933"}, {"ref": "racheltrevino/exercise-underfitting-and-overfitting", "kernel_id": "14693689"}, {"ref": "racheltrevino/exercise-model-validation", "kernel_id": "14693450"}, {"ref": "srikanthrvp/exercise-underfitting-and-overfitting", "kernel_id": "14835117"}, {"ref": "srikanthrvp/exercise-machine-learning-competitions", "kernel_id": "14837205"}, {"ref": "srikanthrvp/exercise-random-forests", "kernel_id": "14836105"}, {"ref": "srikanthrvp/exercise-your-first-machine-learning-model", "kernel_id": "14493099"}, {"ref": "srikanthrvp/exercise-model-validation", "kernel_id": "14493687"}, {"ref": "isumanthparuchuri/exercise-machine-learning-competitions", "kernel_id": "14598396"}, {"ref": "mohammadsohelmia/exercise-your-first-machine-learning-model", "kernel_id": "14546439"}, {"ref": "mohammadsohelmia/exercise-model-validation", "kernel_id": "14640823"}, {"ref": "kvinfro/meansquaredvalue-on-house-pricing-really-better", "kernel_id": "14677668"}, {"ref": "itssuru/house-prices-advanced-regression-techniques", "kernel_id": "14657550"}, {"ref": "alaamasalha/housing-prices", "kernel_id": "14996433"}, {"ref": "celiaryleigh/exercise-random-forests", "kernel_id": "14779455"}, {"ref": "celiaryleigh/exercise-machine-learning-competitions", "kernel_id": "14779481"}, {"ref": "celiaryleigh/exercise-model-validation", "kernel_id": "14779365"}, {"ref": "celiaryleigh/exercise-your-first-machine-learning-model", "kernel_id": "14779296"}, {"ref": "celiaryleigh/exercise-underfitting-and-overfitting", "kernel_id": "14779423"}, {"ref": "mzuther/outside-of-exercises", "kernel_id": "14885299"}, {"ref": "clarissamanfrinato/exercise-missing-values", "kernel_id": "14867382"}, {"ref": "carolinacarerra/exercise-model-validation", "kernel_id": "14868821"}, {"ref": "carolinacarerra/exercise-machine-learning-competitions", "kernel_id": "14868872"}, {"ref": "carolinacarerra/exercise-random-forests", "kernel_id": "14868875"}, {"ref": "carolinacarerra/exercise-underfitting-and-overfitting", "kernel_id": "14868849"}, {"ref": "tuliocasagrande/housing-prices-competition-autogluon", "kernel_id": "15927407"}, {"ref": "abisheksudarshan/housing-price-prediction-top-5-solution", "kernel_id": "15343045"}, {"ref": "saiswapna/data-preprocessing-and-basic-modeling-house-price", "kernel_id": "15261021"}, {"ref": "fedhamdi01/exercise-model-validation", "kernel_id": "15894981"}, {"ref": "fedhamdi01/exercise-your-first-machine-learning-model", "kernel_id": "15894200"}, {"ref": "yashan007/housing-price-predictions-2", "kernel_id": "15606680"}, {"ref": "noahdevan/exercise-machine-learning-competitions", "kernel_id": "15494740"}, {"ref": "jiarui123/ta-session-2", "kernel_id": "15075535"}, {"ref": "farhankhalifa/exercise-random-forests", "kernel_id": "15710117"}, {"ref": "farhankhalifa/exercise-machine-learning-competitions", "kernel_id": "15710240"}, {"ref": "farhankhalifa/exercise-underfitting-and-overfitting", "kernel_id": "15709806"}, {"ref": "farhankhalifa/exercise-introduction", "kernel_id": "15710597"}, {"ref": "farhankhalifa/exercise-model-validation", "kernel_id": "15609175"}, {"ref": "farhankhalifa/exercise-your-first-machine-learning-model", "kernel_id": "15608536"}, {"ref": "tenzinlehpel/house-pirce-predicition", "kernel_id": "15576545"}, {"ref": "stmtk1/exercise-missing-values", "kernel_id": "15265454"}, {"ref": "talpinho/housing-price-prediction", "kernel_id": "15328990"}, {"ref": "gauravgupta3554/exercise-xgboost", "kernel_id": "15999636"}, {"ref": "gauravgupta3554/exercise-cross-validation", "kernel_id": "15997232"}, {"ref": "gauravgupta3554/exercise-missing-values", "kernel_id": "15857923"}, {"ref": "gauravgupta3554/exercise-categorical-variables", "kernel_id": "15867365"}, {"ref": "gauravgupta3554/exercise-introduction", "kernel_id": "15851503"}, {"ref": "gauravgupta3554/exercise-model-validation", "kernel_id": "15806569"}, {"ref": "gauravgupta3554/exercise-machine-learning-competitions", "kernel_id": "15809942"}, {"ref": "gauravgupta3554/exercise-underfitting-and-overfitting", "kernel_id": "15808871"}, {"ref": "gauravgupta3554/exercise-random-forests", "kernel_id": "15809782"}, {"ref": "jmhuertasg/exercise-xgboost", "kernel_id": "15611344"}, {"ref": "tatsuko/ensemble-model-lgb-xgb", "kernel_id": "15260481"}, {"ref": "sattu9/exercise-your-first-machine-learning-model", "kernel_id": "15433675"}, {"ref": "sattu9/exercise-model-validation", "kernel_id": "15442528"}, {"ref": "reyanishtiaq/house-prediction", "kernel_id": "15888761"}, {"ref": "amzad1212/exercise-machine-learning-competitions", "kernel_id": "15672732"}, {"ref": "jerinm/housing-prices-prediction-model", "kernel_id": "15563466"}, {"ref": "anthonyvillazana/exercise-machine-learning-competitions", "kernel_id": "15313622"}, {"ref": "mahmoodalbashayreh/exercise-your-first-machine-learning-model", "kernel_id": "15773475"}, {"ref": "alisharifi2000/data-mining-ta-sample-project", "kernel_id": "15250725"}, {"ref": "chaitanya74466/exercise-machine-learning-competitions", "kernel_id": "15649164"}, {"ref": "josguambo/introml-regression", "kernel_id": "15024634"}, {"ref": "solmazzbek/exercise-missing-values", "kernel_id": "15083724"}, {"ref": "prathishmurugan/exercise-xgboost", "kernel_id": "15063537"}, {"ref": "prathishmurugan/exercise-categorical-variables", "kernel_id": "15029120"}, {"ref": "oliafedyshyn/exercise-machine-learning-competitions", "kernel_id": "15697957"}, {"ref": "oliafedyshyn/exercise-missing-values", "kernel_id": "15783681"}, {"ref": "oliafedyshyn/exercise-categorical-variables", "kernel_id": "15784234"}, {"ref": "oliafedyshyn/exercise-introduction", "kernel_id": "15783481"}, {"ref": "yesamggyum/simple-way-to-make-a-prediction", "kernel_id": "15931715"}, {"ref": "amineouadrani/exercise-categorical-variables", "kernel_id": "15313442"}, {"ref": "pranavanshu2107/exercise-missing-values", "kernel_id": "15634433"}, {"ref": "jchanke/recap-intermediate-machine-learning", "kernel_id": "15802277"}, {"ref": "gtatiana/eda-house-price-feature-engineering", "kernel_id": "15153088"}, {"ref": "pasankavinda/housing-prices-predictor", "kernel_id": "15048793"}, {"ref": "pasankavinda/using-pipeline-top10-in-lb", "kernel_id": "15102972"}, {"ref": "pasankavinda/using-xgbooster-top-7-in-lb", "kernel_id": "15146878"}, {"ref": "pasankavinda/using-pipeline-and-xgboost-top4-in-lb-simple", "kernel_id": "15148244"}, {"ref": "akashkapoor1/exercise-underfitting-and-overfitting", "kernel_id": "15820584"}, {"ref": "akashkapoor1/exercise-model-validation", "kernel_id": "15164072"}, {"ref": "calebyenusah/intermediate-machine-learning-in-one-notebook", "kernel_id": "15107942"}, {"ref": "mohamedbadran1/exercise-categorical-variables", "kernel_id": "15680232"}, {"ref": "rudrakumawat22/exercise-xgboost", "kernel_id": "15948426"}, {"ref": "rudrakumawat22/exercise-data-leakage", "kernel_id": "15948507"}, {"ref": "rudrakumawat22/exercise-pipelines", "kernel_id": "15948227"}, {"ref": "rudrakumawat22/exercise-cross-validation", "kernel_id": "15948282"}, {"ref": "rudrakumawat22/exercise-categorical-variables", "kernel_id": "15948087"}, {"ref": "rudrakumawat22/exercise-introduction", "kernel_id": "15947872"}, {"ref": "rudrakumawat22/exercise-machine-learning-competitions", "kernel_id": "15947714"}, {"ref": "rudrakumawat22/exercise-missing-values", "kernel_id": "15947950"}, {"ref": "rudrakumawat22/exercise-random-forests", "kernel_id": "15947655"}, {"ref": "rudrakumawat22/exercise-underfitting-and-overfitting", "kernel_id": "15947579"}, {"ref": "rudrakumawat22/exercise-model-validation", "kernel_id": "15947454"}, {"ref": "rudrakumawat22/exercise-your-first-machine-learning-model", "kernel_id": "15947299"}, {"ref": "beinghasnain16/exercise-introduction", "kernel_id": "15835321"}, {"ref": "beinghasnain16/exercise-machine-learning-competitions", "kernel_id": "15829732"}, {"ref": "desichannel/exercise-machine-learning-competitions", "kernel_id": "15935347"}, {"ref": "pshubh99/housing-price-competition", "kernel_id": "15367577"}, {"ref": "vinicius20/exercise-missing-values", "kernel_id": "15310313"}, {"ref": "vinicius20/exercise-introduction", "kernel_id": "15309455"}, {"ref": "vinicius20/exercise-cross-validation", "kernel_id": "15385329"}, {"ref": "vinicius20/exercise-xgboost", "kernel_id": "15385948"}, {"ref": "vinicius20/exercise-data-leakage", "kernel_id": "15389147"}, {"ref": "vinicius20/exercise-pipelines", "kernel_id": "15382764"}, {"ref": "vinicius20/exercise-categorical-variables", "kernel_id": "15352248"}, {"ref": "dicksonchng/imputation-using-linear-regression-2", "kernel_id": "15631932"}, {"ref": "mahnoorafridi/machine-learning-by-mahnr", "kernel_id": "15245815"}, {"ref": "pedrohft/house-price-prediction-with-random-forest", "kernel_id": "15452649"}, {"ref": "brixkt/polynomial-and-multiple-regression-in-3d-plot", "kernel_id": "15056703"}, {"ref": "ameya8119/house-prediction-dataset", "kernel_id": "15244530"}, {"ref": "kratusharma/exercise-your-first-machine-learning-model", "kernel_id": "15784913"}, {"ref": "umangsachdev/exercise-missing-values", "kernel_id": "15594341"}, {"ref": "acganna/housingpricescompetition-feature-engineering", "kernel_id": "15659031"}, {"ref": "tomcspark/your-first-machine-learning-model", "kernel_id": "15944489"}, {"ref": "tomcspark/basic-data-exploration", "kernel_id": "15944045"}, {"ref": "somj57/exercise-machine-learning-competitions", "kernel_id": "15734665"}, {"ref": "somj57/exercise-pipelines", "kernel_id": "15805237"}, {"ref": "minhazchowdhury/exercise-machine-learning-competitions", "kernel_id": "15841822"}, {"ref": "sidrahabdullah/exercise-categorical-variables", "kernel_id": "15377824"}, {"ref": "sidrahabdullah/exercise-pipelines", "kernel_id": "15916915"}, {"ref": "igirijesh/exercise-introduction", "kernel_id": "15901861"}, {"ref": "igirijesh/exercise-machine-learning-competitions", "kernel_id": "15900338"}, {"ref": "igirijesh/exercise-missing-values", "kernel_id": "15929527"}, {"ref": "rocklen/exercise-your-first-machine-learning-model", "kernel_id": "15929228"}, {"ref": "rocklen/exercise-model-validation", "kernel_id": "15934175"}, {"ref": "rocklen/exercise-underfitting-and-overfitting", "kernel_id": "15934992"}, {"ref": "rocklen/exercise-machine-learning-competitions", "kernel_id": "15935193"}, {"ref": "rocklen/exercise-random-forests", "kernel_id": "15935163"}, {"ref": "yunchengliang/fork-of-combineimputeand2encoding", "kernel_id": "15326688"}, {"ref": "bruneralbrecht/exercise-machine-learning-competitions", "kernel_id": "15049129"}, {"ref": "antonygeorge73/exercise-your-first-machine-learning-model", "kernel_id": "15207898"}, {"ref": "aipi12/top-1-approach", "kernel_id": "15133603"}, {"ref": "daniloyukihara/rand-forest-w-gridsearchcv", "kernel_id": "15118381"}, {"ref": "daniloyukihara/xgboost-outliers-feature-eng1-2-0", "kernel_id": "15393199"}, {"ref": "narayanyadav/exercise-pipelines", "kernel_id": "15190960"}, {"ref": "abilash13/exercise-model-validation", "kernel_id": "15323399"}, {"ref": "sarikaas/exercise-machine-learning-competitions", "kernel_id": "15302226"}, {"ref": "mohamedferganyomran/exercise-categorical-variables", "kernel_id": "15464184"}, {"ref": "yasinnaal/house-prices-predictions-yasin", "kernel_id": "15573940"}, {"ref": "carolinalderete/begginer-randomforest", "kernel_id": "15435657"}, {"ref": "causalcoding/clean-predictive-predictive-analysis-of-home-data", "kernel_id": "15181464"}, {"ref": "dongeric/housing-data-competition", "kernel_id": "15046608"}, {"ref": "pablocumbrera/house-prices-competition-spanish-notebook-pcc", "kernel_id": "15141474"}, {"ref": "pablocumbrera/kagglehousingprices-pipeline-xgb-explained-spa", "kernel_id": "15345116"}, {"ref": "guzarevich/exercise-pipelines", "kernel_id": "15783105"}, {"ref": "codeaesthete/house-price-prediction-with-deep-neural-networks", "kernel_id": "15804745"}, {"ref": "alekseikaravaev/top-5-house-price-prediction", "kernel_id": "15358049"}, {"ref": "hui2020/notebook39ca261e2d", "kernel_id": "15716319"}, {"ref": "srikanthrvp/exercise-introduction", "kernel_id": "15799498"}, {"ref": "srikanthrvp/exercise-xgboost", "kernel_id": "15127051"}, {"ref": "bhavyajoshi02022000/exercise-pipelines", "kernel_id": "15316223"}, {"ref": "mylenamariana/intro-machine-learning-ex5-random-forests", "kernel_id": "15920790"}, {"ref": "mylenamariana/intro-machine-learning-exercise06-competitions", "kernel_id": "15920802"}, {"ref": "mylenamariana/intro-machine-learning-ex3-model-validation", "kernel_id": "15919336"}, {"ref": "mylenamariana/intro-machine-learning-ex2-your-first-ml-model", "kernel_id": "15891838"}, {"ref": "maxreis/house-price-submission-with-h2o", "kernel_id": "15950188"}, {"ref": "n3rd0x10/exercise-machine-learning-competitions", "kernel_id": "15097706"}, {"ref": "danielbiman/exercise-machine-learning-competitions", "kernel_id": "15590438"}, {"ref": "dshassan/exercise-random-forests", "kernel_id": "15621199"}, {"ref": "charlesmazzei/exercise-categorical-variables", "kernel_id": "15118931"}, {"ref": "nlei21/exercise-xgboost", "kernel_id": "15116697"}, {"ref": "muhammadahmedansari/exercise-random-forests", "kernel_id": "15308288"}, {"ref": "andreifomichev/exercise-your-first-machine-learning-model", "kernel_id": "15497135"}, {"ref": "andreifomichev/exercise-model-validation", "kernel_id": "15529586"}, {"ref": "daking97/top-2-xgb-hypertuned", "kernel_id": "15149126"}, {"ref": "cristiansantiago/my-first-machine-learning-model", "kernel_id": "15179578"}, {"ref": "junwheih/exercise-your-first-machine-learning-model", "kernel_id": "15032950"}, {"ref": "junwheih/how-models-work", "kernel_id": "15030498"}, {"ref": "junwheih/basic-data-exploration", "kernel_id": "15031237"}, {"ref": "junwheih/exercise-model-validation", "kernel_id": "15121542"}, {"ref": "junwheih/model-validation", "kernel_id": "15123596"}, {"ref": "junwheih/exercise-random-forests", "kernel_id": "15125346"}, {"ref": "junwheih/random-forests", "kernel_id": "15125676"}, {"ref": "junwheih/underfitting-and-overfitting", "kernel_id": "15124992"}, {"ref": "junwheih/exercise-underfitting-and-overfitting", "kernel_id": "15124468"}, {"ref": "pavolhelmeci/exercise-introduction-b52273", "kernel_id": "15698472"}, {"ref": "helenpotts/exercise-your-first-machine-learning-model", "kernel_id": "15071007"}, {"ref": "toufik94/exercise-introduction", "kernel_id": "15470053"}, {"ref": "toufik94/exercise-machine-learning-competitions", "kernel_id": "15459027"}, {"ref": "sufyancunningham/exercise-your-first-machine-learning-model", "kernel_id": "15215980"}, {"ref": "hwangdongjun/exercise-machine-learning-competitions", "kernel_id": "15367034"}, {"ref": "kennych/exercise-model-validation", "kernel_id": "15339322"}, {"ref": "kennych/exercise-random-forests", "kernel_id": "15340092"}, {"ref": "kennych/exercise-underfitting-and-overfitting", "kernel_id": "15339701"}, {"ref": "kennych/exercise-machine-learning-competitions", "kernel_id": "15340219"}, {"ref": "kennych/exercise-your-first-machine-learning-model", "kernel_id": "15337478"}, {"ref": "arkabd/exercise-machine-learning-competitions", "kernel_id": "15700284"}, {"ref": "arkabd/exercise-xgboost", "kernel_id": "15786317"}, {"ref": "arkabd/exercise-pipelines", "kernel_id": "15762184"}, {"ref": "judithjude/exercise-your-first-machine-learning-model", "kernel_id": "15498200"}, {"ref": "abdelrahmanralarqan/exercise-underfitting-and-overfitting", "kernel_id": "15676854"}, {"ref": "pritmervana/exercise-data-leakage", "kernel_id": "15620345"}, {"ref": "bochrabenjaballah/housing-price-competition", "kernel_id": "15597449"}, {"ref": "annazhu1228/exercise-machine-learning-competitions", "kernel_id": "15643222"}, {"ref": "olgacozarslan1/exercise-machine-learning-competitions", "kernel_id": "15983729"}, {"ref": "nathanieljohnsucgang/exercise-machine-learning-competitions", "kernel_id": "15793005"}, {"ref": "amitbet/classification", "kernel_id": "16186278"}, {"ref": "hoyunbyun/exercise-machine-learning-competitions", "kernel_id": "16144422"}, {"ref": "sohan083/exercise-model-validation", "kernel_id": "16487786"}, {"ref": "sohan083/exercise-your-first-machine-learning-model", "kernel_id": "16487452"}, {"ref": "sohan083/exercise-machine-learning-competitions", "kernel_id": "16489207"}, {"ref": "sohan083/exercise-underfitting-and-overfitting", "kernel_id": "16488857"}, {"ref": "sohan083/exercise-random-forests", "kernel_id": "16489064"}, {"ref": "plyger/notebookc9161d70fb", "kernel_id": "16570707"}, {"ref": "brukselka/housing-price-predictions", "kernel_id": "16115206"}, {"ref": "thanhnguyen1410/exercise-your-first-machine-learning-model", "kernel_id": "16350641"}, {"ref": "thanhnguyen1410/exercise-model-validation", "kernel_id": "16351179"}, {"ref": "gauravgupta3554/exercise-data-leakage", "kernel_id": "16009486"}, {"ref": "harisonmwangi/housing-prices-eda", "kernel_id": "16937973"}, {"ref": "ssouhassou/notebook5e6d11109e", "kernel_id": "16455281"}, {"ref": "divan17/spd-housing-price", "kernel_id": "16341627"}, {"ref": "sreoshi15/exercise-underfitting-and-overfitting", "kernel_id": "16813134"}, {"ref": "sharadhaviswanathan/iowa-ames-housingprices-nn-top-3", "kernel_id": "16763876"}, {"ref": "sharadhaviswanathan/iowa-ames-housingprices", "kernel_id": "16540225"}, {"ref": "kazitahsinulhaque/exercise-introduction", "kernel_id": "16629561"}, {"ref": "kazitahsinulhaque/exercise-machine-learning-competitions", "kernel_id": "16404422"}, {"ref": "kazitahsinulhaque/exercise-random-forests", "kernel_id": "16401780"}, {"ref": "yasserhessein/house-prices-advanced-regression-with-8-algorithms", "kernel_id": "16679629"}, {"ref": "artimule/exercise-machine-learning-competitions", "kernel_id": "16134787"}, {"ref": "preetharadhakrishnan/exercise-machine-learning-competitions", "kernel_id": "16030043"}, {"ref": "deepalimish/exercise-machine-learning-competitions", "kernel_id": "16001080"}, {"ref": "aisyahhrazak/forecasting-house-prices-top-5", "kernel_id": "16851958"}, {"ref": "dhrumilgohel/advance-house-price-prediction", "kernel_id": "16979002"}, {"ref": "olatundesalami/exercise-your-first-machine-learning-model", "kernel_id": "16351723"}, {"ref": "olatundesalami/exercise-machine-learning-competitions", "kernel_id": "16360320"}, {"ref": "olatundesalami/exercise-underfitting-and-overfitting", "kernel_id": "16359866"}, {"ref": "olatundesalami/exercise-random-forests", "kernel_id": "16360208"}, {"ref": "olatundesalami/notebookec15c3f8d8", "kernel_id": "16359445"}, {"ref": "tomcspark/exercise-underfitting-and-overfitting", "kernel_id": "16066506"}, {"ref": "tomcspark/underfitting-and-overfitting", "kernel_id": "16066329"}, {"ref": "tomcspark/exercise-model-validation", "kernel_id": "16066134"}, {"ref": "kyuhwanjung2/housingprices-baseline-week5-week6", "kernel_id": "16553725"}, {"ref": "nobodysboredom/exercise-machine-learning-competitions", "kernel_id": "16020196"}, {"ref": "snehasishdhar/house-price-prediction-using-linear-regression", "kernel_id": "16197892"}, {"ref": "andreeatodor/exercise-missing-values", "kernel_id": "16059822"}, {"ref": "arpitmishra28/exercise-machine-learning-competitions", "kernel_id": "16970606"}, {"ref": "arpitmishra28/exercise-random-forests", "kernel_id": "16970538"}, {"ref": "arpitmishra28/exercise-your-first-machine-learning-model", "kernel_id": "16970238"}, {"ref": "arpitmishra28/exercise-model-validation", "kernel_id": "16970315"}, {"ref": "arpitmishra28/exercise-underfitting-and-overfitting", "kernel_id": "16970370"}, {"ref": "ramasubramanyams/exercise-introduction", "kernel_id": "16173571"}, {"ref": "aaggarwalpriya/exercise-machine-learning-competitions", "kernel_id": "16785680"}, {"ref": "harshhzz/exercise-categorical-variables", "kernel_id": "16680934"}, {"ref": "harshhzz/exercise-random-forests", "kernel_id": "16643025"}, {"ref": "christophelamaison/exercise-missing-values", "kernel_id": "16307682"}, {"ref": "heysaty/exercise-underfitting-and-overfitting", "kernel_id": "16807882"}, {"ref": "heysaty/exercise-model-validation", "kernel_id": "16800007"}, {"ref": "heysaty/exercise-your-first-machine-learning-model", "kernel_id": "16799049"}, {"ref": "yasminekarray/exercise-model-validation", "kernel_id": "16383810"}, {"ref": "hedayaali/exercise-machine-learning-competitions", "kernel_id": "16351107"}, {"ref": "mohamedferganyomran/exercise-xgboost", "kernel_id": "16238120"}, {"ref": "mohamedferganyomran/exercise-pipelines", "kernel_id": "16030917"}, {"ref": "kudasovdmitriy/backdoor-fair-housing-prices-competition", "kernel_id": "16670938"}, {"ref": "gurjotsingh16/exercise-categorical-variables", "kernel_id": "16302349"}, {"ref": "gurjotsingh16/exercise-introduction", "kernel_id": "16122735"}, {"ref": "gurjotsingh16/exercise-machine-learning-competitions", "kernel_id": "16106925"}, {"ref": "housseinihadia/exercise-machine-learning-competitions", "kernel_id": "16792220"}, {"ref": "josephfiguracion/exercise-pipelines", "kernel_id": "16318860"}, {"ref": "peeushthedeveloper/xgboost-approach", "kernel_id": "16115802"}, {"ref": "kishorkunal73/exercise-categorical-variables", "kernel_id": "16151856"}, {"ref": "ooyincodes/exercise-categorical-variables", "kernel_id": "16851360"}, {"ref": "shabanakausar/exercise-categorical-variables", "kernel_id": "16639025"}, {"ref": "trinetrajayakumar/exercise-your-first-machine-learning-model", "kernel_id": "16445124"}, {"ref": "trinetrajayakumar/exercise-model-validation", "kernel_id": "16502398"}, {"ref": "trinetrajayakumar/exercise-underfitting-and-overfitting", "kernel_id": "16526341"}, {"ref": "trinetrajayakumar/exercise-random-forests", "kernel_id": "16587109"}, {"ref": "mylenamariana/inter-machine-learning-ex02-missing-values", "kernel_id": "16269038"}, {"ref": "maxreis/housing-prices-gbm-xgboost-bayesian-optimization", "kernel_id": "16138188"}, {"ref": "arthuryule/house-prices-competition", "kernel_id": "16658185"}, {"ref": "hozanareis/housing-prices", "kernel_id": "16844647"}, {"ref": "dshassan/exercise-missing-values", "kernel_id": "16094936"}, {"ref": "lightion/exercise-missing-values", "kernel_id": "16232733"}, {"ref": "indranidhanisetty/exercise-your-first-machine-learning-model", "kernel_id": "16362482"}, {"ref": "indranidhanisetty/exercise-underfitting-and-overfitting", "kernel_id": "16942647"}, {"ref": "indranidhanisetty/exercise-machine-learning-competitions", "kernel_id": "16943441"}, {"ref": "indranidhanisetty/exercise-random-forests", "kernel_id": "16943326"}, {"ref": "indranidhanisetty/exercise-model-validation", "kernel_id": "16939346"}, {"ref": "indranidhanisetty/exercise-missing-values", "kernel_id": "16961961"}, {"ref": "indranidhanisetty/exercise-introduction", "kernel_id": "16961867"}, {"ref": "mrezamirshekari/exercise-random-forests", "kernel_id": "16871108"}, {"ref": "yurakholod/exercise-random-forests", "kernel_id": "16906036"}, {"ref": "yurakholod/exercise-machine-learning-competitions", "kernel_id": "16906075"}, {"ref": "yurakholod/exercise-underfitting-and-overfitting", "kernel_id": "16905936"}, {"ref": "yurakholod/exercise-model-validation", "kernel_id": "16905847"}, {"ref": "yurakholod/exercise-your-first-machine-learning-model", "kernel_id": "16905733"}, {"ref": "sergeichaban/exercise-machine-learning-competitions", "kernel_id": "16908097"}, {"ref": "sergeichaban/exercise-model-validation", "kernel_id": "16876196"}, {"ref": "sergeichaban/exercise-your-first-machine-learning-model", "kernel_id": "16801338"}, {"ref": "mehmetda/exercise-machine-learning-competitions", "kernel_id": "16006853"}, {"ref": "bilalhussain24/exercise-your-first-machine-learning-model", "kernel_id": "16406958"}, {"ref": "bilalhussain24/exercise-model-validation", "kernel_id": "16413494"}, {"ref": "bilalhussain24/exercise-underfitting-and-overfitting", "kernel_id": "16503216"}, {"ref": "bilalhussain24/exercise-random-forests", "kernel_id": "16504452"}, {"ref": "rpdambrusz/exercise-machine-learning-competitions", "kernel_id": "16936807"}, {"ref": "tirendazacademy/housing-prices-competition", "kernel_id": "16138969"}, {"ref": "mdjohirulislam/how-to-be-top-17-for-beginners", "kernel_id": "16224413"}, {"ref": "magdalenamostazo/exercise-machine-learning-competitions", "kernel_id": "16368224"}, {"ref": "ansshakeel/exercise-categorical-variables", "kernel_id": "16519487"}, {"ref": "fistadev/exercise-your-first-machine-learning-model", "kernel_id": "16346977"}, {"ref": "justingannon/iowa-house-sales-price-model", "kernel_id": "16361718"}, {"ref": "mwpskinner/exercise-machine-learning-competitions", "kernel_id": "16348590"}, {"ref": "markfelixm/housing-prices-comp", "kernel_id": "16347343"}, {"ref": "abdelrahmanralarqan/exercise-random-forests", "kernel_id": "16005607"}, {"ref": "abdelrahmanralarqan/exercise-missing-values", "kernel_id": "16130250"}, {"ref": "abdelrahmanralarqan/exercise-introduction", "kernel_id": "16128401"}, {"ref": "mitdasondi/exercise-your-first-machine-learning-model", "kernel_id": "16355599"}, {"ref": "gagble/mi-econometrie", "kernel_id": "16724878"}, {"ref": "rihyehan/exercise-machine-learning-competitions", "kernel_id": "16041691"}, {"ref": "vanshlalwani/exercise-introduction", "kernel_id": "16494660"}, {"ref": "drcrabkg/exercise-machine-learning-competitions", "kernel_id": "16327644"}, {"ref": "drcrabkg/notebook1st-learning-journey-randomforest", "kernel_id": "16933519"}, {"ref": "muskanjha/exercise-your-first-machine-learning-model", "kernel_id": "16061713"}, {"ref": "muskanjha/exercise-underfitting-and-overfitting", "kernel_id": "16067842"}, {"ref": "muskanjha/exercise-model-validation", "kernel_id": "16066574"}, {"ref": "muskanjha/notebook5868611bde", "kernel_id": "16080145"}, {"ref": "muskanjha/exercise-machine-learning-competitions", "kernel_id": "16091370"}, {"ref": "muskanjha/exercise-missing-values", "kernel_id": "16115094"}, {"ref": "muskanjha/exercise-introduction", "kernel_id": "16114607"}, {"ref": "muskanjha/exercise-categorical-variables", "kernel_id": "16172194"}, {"ref": "muskanjha/exercise-pipelines", "kernel_id": "16175757"}, {"ref": "muskanjha/exercise-cross-validation", "kernel_id": "16190480"}, {"ref": "muskanjha/exercise-xgboost", "kernel_id": "16193118"}, {"ref": "snizhanaliashevska/exercise-machine-learning-competitions", "kernel_id": "16354333"}, {"ref": "snizhanaliashevska/exercise-introduction", "kernel_id": "16354701"}, {"ref": "mohammedagoor/exercise-categorical-variables", "kernel_id": "16939799"}, {"ref": "thflgg133/exercise-missing-values", "kernel_id": "16502663"}, {"ref": "ds1973/exercise-machine-learning-competitions", "kernel_id": "16370217"}, {"ref": "hyeseong0317/exercise-categorical-variables", "kernel_id": "16061562"}, {"ref": "chongluo1997/exercise-machine-learning-competitions", "kernel_id": "16338566"}, {"ref": "bhuvananatarajan/exercise-model-validation", "kernel_id": "16366267"}, {"ref": "solahmadadam/exercise-missing-values", "kernel_id": "16238164"}, {"ref": "iamtapendu/housing-price-assingment-top-4", "kernel_id": "16553695"}, {"ref": "infvogel/4-erstes-ml-modell", "kernel_id": "16228539"}, {"ref": "infvogel/6-modellbewertung", "kernel_id": "16241995"}, {"ref": "infvogel/7-aufgabe-modellbewertung", "kernel_id": "16242460"}, {"ref": "infvogel/2-datenuntersuchung", "kernel_id": "16189512"}, {"ref": "infvogel/1-wie-modelle-arbeiten", "kernel_id": "16189128"}, {"ref": "infvogel/5-aufgabe-ml-modell", "kernel_id": "16190407"}, {"ref": "spotbox/exercise-model-validation", "kernel_id": "16993295"}, {"ref": "spotbox/exercise-underfitting-and-overfitting", "kernel_id": "16996756"}, {"ref": "spotbox/exercise-random-forests", "kernel_id": "16997324"}, {"ref": "spotbox/exercise-your-first-machine-learning-model", "kernel_id": "16997915"}, {"ref": "spotbox/exercise-machine-learning-competitions", "kernel_id": "16997541"}, {"ref": "alexandragiasimaki/exercise-machine-learning-competitions", "kernel_id": "16988997"}, {"ref": "thannirumanisha/exercise-introduction", "kernel_id": "16321364"}, {"ref": "udaykrgupta/exercise-your-first-machine-learning-model", "kernel_id": "16370185"}, {"ref": "udaykrgupta/exercise-model-validation", "kernel_id": "16386460"}, {"ref": "mlokeshsairam/exercise-machine-learning-competitions", "kernel_id": "16718136"}, {"ref": "isurumahakumara/housing-price-prediction", "kernel_id": "16685426"}, {"ref": "deadliestdemon/exercise-machine-learning-competitions", "kernel_id": "16438250"}, {"ref": "vipassanamore/exercise-machine-learning-competitions", "kernel_id": "16659352"}, {"ref": "lubomrstraka/intro-to-machine-learning-tutorial-summary", "kernel_id": "16720428"}, {"ref": "hijihyo/exercise-your-first-machine-learning-model", "kernel_id": "16991597"}, {"ref": "xiadanimejia/exercise-machine-learning-competitions", "kernel_id": "16763165"}, {"ref": "nessrinemahjoub/exercise-machine-learning-competitions", "kernel_id": "16866929"}, {"ref": "pramau/exercise-machine-learning-competitions", "kernel_id": "17948382"}, {"ref": "abhistats/exercise-machine-learning-competitions", "kernel_id": "17416947"}, {"ref": "fantao/exercise-xgboost", "kernel_id": "17650089"}, {"ref": "vikent/housing-price-competitive-note", "kernel_id": "17381158"}, {"ref": "manishtripathi86/exercise-introduction", "kernel_id": "17968654"}, {"ref": "qinouyang/exercise-model-validation", "kernel_id": "17701825"}, {"ref": "mohith01/housing-dataset-2", "kernel_id": "17452467"}, {"ref": "lorenzoquiambao/data-challenge-2-1", "kernel_id": "17725857"}, {"ref": "rahulkasturi/exercise-machine-learning-competitions", "kernel_id": "17452605"}, {"ref": "suvojeetdutta/day-12-exercise-1-introduction", "kernel_id": "17461319"}, {"ref": "suvojeetdutta/day-12-exercise-2-missing-values", "kernel_id": "17462573"}, {"ref": "suvojeetdutta/day-10-exercise-2-random-forests", "kernel_id": "17440242"}, {"ref": "suvojeetdutta/day-11-exercise-machine-learning-competitions", "kernel_id": "17440403"}, {"ref": "suvojeetdutta/day-9-ex-1-your-first-machine-learning-model", "kernel_id": "17427658"}, {"ref": "suvojeetdutta/day-9-ex-2-model-validation", "kernel_id": "17432634"}, {"ref": "suvojeetdutta/day-10-exercise-1-underfitting-and-overfitting", "kernel_id": "17438880"}, {"ref": "vishnudevalla2404/exercise-your-first-machine-learning-model", "kernel_id": "17395790"}, {"ref": "vishnudevalla2404/exercise-random-forests", "kernel_id": "17400292"}, {"ref": "vishnudevalla2404/exercise-machine-learning-competitions", "kernel_id": "17400381"}, {"ref": "vishnudevalla2404/exercise-model-validation", "kernel_id": "17400086"}, {"ref": "vishnudevalla2404/exercise-underfitting-and-overfitting", "kernel_id": "17400177"}, {"ref": "adityakrbarik/prediction-of-housing-prices", "kernel_id": "17339285"}, {"ref": "piashtanjin/exercise-machine-learning-competitions", "kernel_id": "17977337"}, {"ref": "pulkit12dhingra/housing-price-prediction-random-forest", "kernel_id": "17755526"}, {"ref": "mashrf/exercise-machine-learning-competitions", "kernel_id": "17476610"}, {"ref": "kazitahsinulhaque/exercise-missing-values", "kernel_id": "17178373"}, {"ref": "kazitahsinulhaque/exercise-categorical-variables", "kernel_id": "17442088"}, {"ref": "nikitakudriashov/house-prices-simple-solution", "kernel_id": "17245172"}, {"ref": "ishiitha/exercise-random-forests", "kernel_id": "17058081"}, {"ref": "kazalnext/exercise-machine-learning-competitions", "kernel_id": "17285688"}, {"ref": "prabhums/exercise-machine-learning-competitions", "kernel_id": "17156105"}, {"ref": "saijagadeeshnagula/exercise-categorical-variables", "kernel_id": "17074063"}, {"ref": "mdselimreza/exercise-categorical-variables", "kernel_id": "17030824"}, {"ref": "hassanademola/housing-prices-predictions", "kernel_id": "17554987"}, {"ref": "zhixx018/top1-ames-housing-prediction", "kernel_id": "17477883"}, {"ref": "statstastic/house-price-regression-w-regularization", "kernel_id": "17124125"}, {"ref": "emanuelemessori/housing-prices-gradientboosting-simple-model", "kernel_id": "17084732"}, {"ref": "ashminat/exercise-your-first-machine-learning-model", "kernel_id": "17142031"}, {"ref": "jacknickson/ml-da2-18bce1098", "kernel_id": "17417496"}, {"ref": "hrronaldo/exercise-categorical-variables", "kernel_id": "17391258"}, {"ref": "kislayk/neural-network-based-housing-prices-model", "kernel_id": "17143355"}, {"ref": "alekseyromanovich/house-price-prediction", "kernel_id": "17666314"}, {"ref": "harshhzz/exercise-xgboost", "kernel_id": "17652057"}, {"ref": "brahimwalid/exercise-machine-learning-competitions", "kernel_id": "17104221"}, {"ref": "tdbui1209/simple-data-preprocessing-to-take-top-4", "kernel_id": "17364492"}, {"ref": "akshayr009/notebook92a437da8f", "kernel_id": "17625963"}, {"ref": "tadashikikuno/exercise-your-first-machine-learning-model", "kernel_id": "17958466"}, {"ref": "zehranrgi/exercise-missing-values", "kernel_id": "17142897"}, {"ref": "ishaankothidar/exercise-machine-learning-competitions", "kernel_id": "17510459"}, {"ref": "opkaggle123/intro-to-m-l-4-exercise-model-validation", "kernel_id": "17162987"}, {"ref": "opkaggle123/in-m-l-7-exercise-machine-learning-competitions", "kernel_id": "17163381"}, {"ref": "opkaggle123/in-m-l-5-exercise-underfitting-and-overfitting", "kernel_id": "17163151"}, {"ref": "opkaggle123/in-m-l-6-exercise-random-forests", "kernel_id": "17163290"}, {"ref": "opkaggle123/inter-m-l-5-exercise-cross-validation", "kernel_id": "17167340"}, {"ref": "opkaggle123/inter-m-l-1-exercise-introduction", "kernel_id": "17164478"}, {"ref": "opkaggle123/inter-m-l-2exercise-missing-values", "kernel_id": "17164624"}, {"ref": "opkaggle123/interm-l-3-exercise-categorical-variables", "kernel_id": "17166098"}, {"ref": "opkaggle123/inter-m-l-6-exercise-xgboost", "kernel_id": "17182755"}, {"ref": "opkaggle123/inter-m-l-7-exercise-data-leakage", "kernel_id": "17183399"}, {"ref": "opkaggle123/in-m-l3exercise-your-first-machine-learning-mode", "kernel_id": "17015571"}, {"ref": "anirbansahaanik/exercise-machine-learning-competitions", "kernel_id": "17265853"}, {"ref": "majedmajed/exercise-machine-learning-competitions", "kernel_id": "17361735"}, {"ref": "majedmajed/exercise-pipelines", "kernel_id": "17423314"}, {"ref": "archietram/my-own-work", "kernel_id": "17845459"}, {"ref": "pitson/exercise-introduction", "kernel_id": "17392178"}, {"ref": "nabeelraza/my-first-notebook-for-submission", "kernel_id": "17407181"}, {"ref": "carloscortes210/exercise-categorical-variables", "kernel_id": "17016360"}, {"ref": "madmaxsml/exercise-missing-values", "kernel_id": "17151766"}, {"ref": "samirrai/samir-s-kaggle-housing-prices-entry", "kernel_id": "17918896"}, {"ref": "patriciaadeyemo/exercise-your-first-machine-learning-model", "kernel_id": "17288520"}, {"ref": "lokesh006/house-price-prediction-da2", "kernel_id": "17414239"}, {"ref": "raziehghahartars/exercise-model-validation", "kernel_id": "17694948"}, {"ref": "raziehghahartars/exercise-your-first-machine-learning-model", "kernel_id": "17694442"}, {"ref": "maximkazantsev/housing-price-competiton-top-1-solution", "kernel_id": "17178675"}, {"ref": "brittanymay425/iowa0520c", "kernel_id": "17110153"}, {"ref": "namansharma2006/exercise-machine-learning-competitions", "kernel_id": "17431269"}, {"ref": "rajeshsundaram/exercise-cross-validation", "kernel_id": "17578574"}, {"ref": "rajeshsundaram/exercise-pipelines", "kernel_id": "17577038"}, {"ref": "rajeshsundaram/exercise-data-leakage", "kernel_id": "17585133"}, {"ref": "rajeshsundaram/exercise-xgboost", "kernel_id": "17581868"}, {"ref": "rajeshsundaram/exercise-categorical-variables", "kernel_id": "17557081"}, {"ref": "rajeshsundaram/exercise-missing-values", "kernel_id": "17548129"}, {"ref": "rajeshsundaram/exercise-introduction", "kernel_id": "17543719"}, {"ref": "rajeshsundaram/exercise-model-validation", "kernel_id": "17514869"}, {"ref": "rajeshsundaram/exercise-underfitting-and-overfitting", "kernel_id": "17515708"}, {"ref": "rajeshsundaram/exercise-random-forests", "kernel_id": "17518042"}, {"ref": "rajeshsundaram/exercise-machine-learning-competitions", "kernel_id": "17518293"}, {"ref": "pavloriepin/exercise-model-validation", "kernel_id": "17431749"}, {"ref": "sabuja/exercise-your-first-machine-learning-model", "kernel_id": "17107225"}, {"ref": "yonierlich/housing-prices", "kernel_id": "17929692"}, {"ref": "danish1999/exercise-model-validation", "kernel_id": "17259743"}, {"ref": "isaortya/home-data-personal", "kernel_id": "17340505"}, {"ref": "spotbox/exercise-categorical-variables", "kernel_id": "17067662"}, {"ref": "hijihyo/exercise-random-forests", "kernel_id": "17076460"}, {"ref": "hijihyo/exercise-underfitting-and-overfitting", "kernel_id": "17066013"}, {"ref": "hijihyo/exercise-model-validation", "kernel_id": "17065404"}, {"ref": "mahathin/exercise-model-validation", "kernel_id": "17461502"}, {"ref": "mahathin/exercise-pipelines", "kernel_id": "17678978"}, {"ref": "ajaybabua/exercise-data-leakage", "kernel_id": "17808000"}, {"ref": "ajaybabua/exercise-machine-learning-competitions", "kernel_id": "17150596"}, {"ref": "mdrabbichowdhuri/exercise-machine-learning-competitions", "kernel_id": "17028114"}, {"ref": "shohanursobuj/house-prediction", "kernel_id": "17420683"}, {"ref": "prthvk/exercise-machine-learning-competitions", "kernel_id": "17832448"}, {"ref": "omarsaad72/exercise-your-first-machine-learning-model", "kernel_id": "17009789"}, {"ref": "omarsaad72/exercise-model-validation", "kernel_id": "17145325"}, {"ref": "omarsaad72/exercise-underfitting-and-overfitting", "kernel_id": "17145482"}, {"ref": "omarsaad72/exercise-random-forests", "kernel_id": "17145526"}, {"ref": "hiteshwarsingh1/house-sale-price-hypertunned-random-forest", "kernel_id": "17988622"}, {"ref": "raniahamadakaggle/exercise-your-first-machine-learning-model", "kernel_id": "17109955"}, {"ref": "dahliaghonim/exercise-your-first-machine-learning-model", "kernel_id": "17146782"}, {"ref": "dahliaghonim/exercise-underfitting-and-overfitting", "kernel_id": "17152522"}, {"ref": "dahliaghonim/exercise-model-validation", "kernel_id": "17151561"}, {"ref": "dahliaghonim/exercise-random-forests", "kernel_id": "17152878"}, {"ref": "omanshugaidhane/exercise-xgboost", "kernel_id": "17889803"}, {"ref": "omanshugaidhane/exercise-categorical-variables", "kernel_id": "17889342"}, {"ref": "omanshugaidhane/exercise-pipelines", "kernel_id": "17889434"}, {"ref": "omanshugaidhane/exercise-cross-validation", "kernel_id": "17889520"}, {"ref": "kaaviyas/exercise-machine-learning-competitions", "kernel_id": "17120146"}, {"ref": "shivakrishna36/exercise-machine-learning-competitions", "kernel_id": "17149038"}, {"ref": "hagerabdelaal/exercise-random-forests", "kernel_id": "17149916"}, {"ref": "yasiruvinodpathirana/exercise-xgboost", "kernel_id": "17486927"}, {"ref": "yasiruvinodpathirana/exercise-data-leakage", "kernel_id": "17489262"}, {"ref": "yasiruvinodpathirana/exercise-cross-validation", "kernel_id": "17484391"}, {"ref": "yasiruvinodpathirana/exercise-pipelines", "kernel_id": "17483114"}, {"ref": "yasiruvinodpathirana/exercise-your-first-machine-learning-model", "kernel_id": "17345400"}, {"ref": "yasiruvinodpathirana/exercise-model-validation", "kernel_id": "17354488"}, {"ref": "yasiruvinodpathirana/exercise-underfitting-and-overfitting", "kernel_id": "17355165"}, {"ref": "yasiruvinodpathirana/exercise-random-forests", "kernel_id": "17356532"}, {"ref": "yasiruvinodpathirana/exercise-machine-learning-competitions", "kernel_id": "17356691"}, {"ref": "yasiruvinodpathirana/exercise-introduction", "kernel_id": "17370797"}, {"ref": "yasiruvinodpathirana/exercise-missing-values", "kernel_id": "17405926"}, {"ref": "yasiruvinodpathirana/exercise-categorical-variables", "kernel_id": "17429569"}, {"ref": "yasiruvinodpathirana/housing-project", "kernel_id": "17431433"}, {"ref": "shahid119/exercise-machine-learning-competitions", "kernel_id": "17862870"}, {"ref": "karimmikhaelfarid/exercise-your-first-machine-learning-model", "kernel_id": "17149930"}, {"ref": "karimmikhaelfarid/exercise-underfitting-and-overfitting", "kernel_id": "17151531"}, {"ref": "karimmikhaelfarid/exercise-random-forests", "kernel_id": "17151771"}, {"ref": "karimmikhaelfarid/exercise-model-validation", "kernel_id": "17151176"}, {"ref": "karimmikhaelfarid/exercise-machine-learning-competitions", "kernel_id": "17152070"}, {"ref": "karimmahmoud1999/exercise-your-first-machine-learning-model", "kernel_id": "17152099"}, {"ref": "karimmahmoud1999/exercise-model-validation", "kernel_id": "17152112"}, {"ref": "karimmahmoud1999/exercise-underfitting-and-overfitting", "kernel_id": "17152125"}, {"ref": "karimmahmoud1999/exercise-random-forests", "kernel_id": "17152135"}, {"ref": "karimmahmoud1999/exercise-machine-learning-competitions", "kernel_id": "17152792"}, {"ref": "mostafasaad127/exercise-underfitting-and-overfitting", "kernel_id": "17152800"}, {"ref": "mostafasaad127/exercise-random-forests", "kernel_id": "17152823"}, {"ref": "mostafasaad127/exercise-machine-learning-competitions", "kernel_id": "17152841"}, {"ref": "mostafasaad127/exercise-your-first-machine-learning-model", "kernel_id": "17152727"}, {"ref": "mostafasaad127/exercise-model-validation", "kernel_id": "17152776"}, {"ref": "joaofgmendes95/exercise-data-leakage", "kernel_id": "17495718"}, {"ref": "majidcharoo/exercise-machine-learning-competitions", "kernel_id": "17808825"}, {"ref": "mdkaiffaiyaz/exercise-machine-learning-competitions", "kernel_id": "17570378"}, {"ref": "ashvadharshini/exercise-your-first-machine-learning-model", "kernel_id": "17716643"}, {"ref": "andernzhu/exercise-machine-learning-competitions", "kernel_id": "17540262"}, {"ref": "sergiogerman/exercise-your-first-machine-learning-model", "kernel_id": "17390433"}, {"ref": "georgenamoc/c-mo-funcionan-los-modelos", "kernel_id": "17387895"}, {"ref": "shalinikagglework/exercise-machine-learning-competitions", "kernel_id": "17402129"}, {"ref": "maricab95/exercise-machine-learning-competitions", "kernel_id": "17534046"}, {"ref": "tarikh93/house-pricing-using-a-nn-approach-top-3", "kernel_id": "17751854"}, {"ref": "brunomurca/exercise-your-first-machine-learning-model", "kernel_id": "17500856"}, {"ref": "brunomurca/exercise-random-forests", "kernel_id": "17501259"}, {"ref": "brunomurca/exercise-machine-learning-competitions", "kernel_id": "17501280"}, {"ref": "brunomurca/exercise-model-validation", "kernel_id": "17501163"}, {"ref": "brunomurca/exercise-underfitting-and-overfitting", "kernel_id": "17501198"}, {"ref": "brunomurca/exercise-pipelines", "kernel_id": "17501552"}, {"ref": "brunomurca/exercise-categorical-variables", "kernel_id": "17501498"}, {"ref": "brunomurca/exercise-missing-values", "kernel_id": "17501415"}, {"ref": "brunomurca/exercise-introduction", "kernel_id": "17501368"}, {"ref": "brunomurca/exercise-xgboost", "kernel_id": "17501652"}, {"ref": "brunomurca/exercise-data-leakage", "kernel_id": "17501709"}, {"ref": "s1nceri7y/exercise-model-validation", "kernel_id": "17544488"}, {"ref": "poojithabhee/exercise-underfitting-and-overfitting", "kernel_id": "17765406"}, {"ref": "viniciusholanda/exercise-your-first-machine-learning-model", "kernel_id": "17752749"}, {"ref": "viniciusholanda/exercise-underfitting-and-overfitting", "kernel_id": "17821434"}, {"ref": "r21ritika/exercise-machine-learning-competitions", "kernel_id": "18532386"}, {"ref": "srispirit/exercise-your-first-machine-learning-model", "kernel_id": "18779582"}, {"ref": "anupamsingh10/your-first-machine-learning-model", "kernel_id": "18116566"}, {"ref": "mikeramby/my-housing-prices-competition-top-3-leaderboard", "kernel_id": "18067889"}, {"ref": "divypandya/automated-feature-selection", "kernel_id": "18798733"}, {"ref": "ipvikas/exercise-xgboost", "kernel_id": "18962169"}, {"ref": "instigator666/exercise-categorical-variables", "kernel_id": "18285031"}, {"ref": "guilhermealvino/exercise-your-first-machine-learning-model", "kernel_id": "18977659"}, {"ref": "yutoshibata/notebooka3ea6a4889", "kernel_id": "18822345"}, {"ref": "classicreviveme/xgbm-baseline-top-1-solution", "kernel_id": "18924592"}, {"ref": "areegtarek/exercise-pipelines", "kernel_id": "18290884"}, {"ref": "areegtarek/exercise-categorical-variables", "kernel_id": "18290705"}, {"ref": "areegtarek/exercise-data-leakage", "kernel_id": "18296313"}, {"ref": "areegtarek/exercise-xgboost", "kernel_id": "18296177"}, {"ref": "areegtarek/exercise-cross-validation", "kernel_id": "18295964"}, {"ref": "areegtarek/exercise-introduction", "kernel_id": "18265747"}, {"ref": "areegtarek/exercise-missing-values", "kernel_id": "18265823"}, {"ref": "fummicc1/notebooka3ea6a4889", "kernel_id": "18758798"}, {"ref": "ravinash218/exercise-machine-learning-competitions", "kernel_id": "18503473"}, {"ref": "anmolmunnolli/exercise-your-first-machine-learning-model", "kernel_id": "18694746"}, {"ref": "graceyudha/random-forest-regressor-attempt", "kernel_id": "18859327"}, {"ref": "graceyudha/exercise-machine-learning-competitions", "kernel_id": "18864890"}, {"ref": "tyagishivani00/exercise-your-first-machine-learning-model", "kernel_id": "18945518"}, {"ref": "tyagishivani00/exercise-model-validation", "kernel_id": "18946089"}, {"ref": "mramansingh/exercise-machine-learning-competitions", "kernel_id": "18845449"}, {"ref": "cristiansuarez/exercise-machine-learning-competitions", "kernel_id": "18882169"}, {"ref": "bhavinmoriya/exercise-cross-validation", "kernel_id": "18559614"}, {"ref": "bhavinmoriya/exercise-xgboost", "kernel_id": "18560673"}, {"ref": "bhavinmoriya/exercise-pipelines", "kernel_id": "18541990"}, {"ref": "bhavinmoriya/exercise-categorical-variables", "kernel_id": "18538520"}, {"ref": "vishalcodes/fork-of-house-price-prediction", "kernel_id": "18404790"}, {"ref": "azizmousa/notebookfbf10d1c00", "kernel_id": "18886982"}, {"ref": "hariprasathpillai/exercise-introduction", "kernel_id": "18876860"}, {"ref": "shritech1404/housing-price-machine-learning-competitions", "kernel_id": "18735167"}, {"ref": "bijayamanandhar/exercise-random-forests", "kernel_id": "18866265"}, {"ref": "bijayamanandhar/exercise-introduction", "kernel_id": "18887408"}, {"ref": "bijayamanandhar/exercise-machine-learning-competitions", "kernel_id": "18886199"}, {"ref": "bijayamanandhar/exercise-missing-values", "kernel_id": "18891672"}, {"ref": "bijayamanandhar/exercise-categorical-variables", "kernel_id": "18910986"}, {"ref": "swastiksaxena/exercise-categorical-variables", "kernel_id": "18761299"}, {"ref": "vickz53/exercise-machine-learning-competitions", "kernel_id": "18872882"}, {"ref": "aidamohagheghzade/exercise-machine-learning-competitions", "kernel_id": "18667941"}, {"ref": "subhamjain/exercise-machine-learning-competitions", "kernel_id": "18738892"}, {"ref": "somesh88/exercise-data-leakage", "kernel_id": "18429780"}, {"ref": "tadashikikuno/exercise-machine-learning-competitions", "kernel_id": "18264378"}, {"ref": "mohammadbilal951/exercise-random-forests", "kernel_id": "18926954"}, {"ref": "mohammadbilal951/exercise-model-validation", "kernel_id": "18832097"}, {"ref": "mohammadbilal951/exercise-underfitting-and-overfitting", "kernel_id": "18846268"}, {"ref": "nassimabousahba/exercise-introduction", "kernel_id": "18956496"}, {"ref": "tejnarayanshaw/exercise-your-first-machine-learning-model", "kernel_id": "18481797"}, {"ref": "alexkoshchii/top-2-notebook-for-housing-prices-dataset", "kernel_id": "18405170"}, {"ref": "kdsharmaai/handle-categorical-variables-practical-explanation", "kernel_id": "18881132"}, {"ref": "kdsharmaai/handle-missing-values-easy-practical-explanation", "kernel_id": "18559516"}, {"ref": "ayanmalik35/exercise-introduction", "kernel_id": "18574584"}, {"ref": "ayanmalik35/exercise-missing-values", "kernel_id": "18574933"}, {"ref": "ayanmalik35/exercise-machine-learning-competitions", "kernel_id": "18560698"}, {"ref": "ayanmalik35/exercise-random-forests", "kernel_id": "18560650"}, {"ref": "ayanmalik35/exercise-your-first-machine-learning-model", "kernel_id": "18559015"}, {"ref": "ayanmalik35/exercise-model-validation", "kernel_id": "18560285"}, {"ref": "ayanmalik35/exercise-underfitting-and-overfitting", "kernel_id": "18560453"}, {"ref": "xpalenik/exercise-categorical-variables", "kernel_id": "18930761"}, {"ref": "b06501069/exercise-categorical-variables", "kernel_id": "18776014"}, {"ref": "brittanymay425/iowahousing3c", "kernel_id": "18152235"}, {"ref": "shitalgaikwad123/housing-price-prediction", "kernel_id": "18621357"}, {"ref": "carlosalejandroram/exercise-model-validation", "kernel_id": "18707336"}, {"ref": "carlosalejandroram/exercise-your-first-machine-learning-model", "kernel_id": "18705786"}, {"ref": "suvrashaw/exercise-pipelines", "kernel_id": "18983968"}, {"ref": "suvrashaw/exercise-cross-validation", "kernel_id": "18983970"}, {"ref": "suvrashaw/exercise-xgboost", "kernel_id": "18983971"}, {"ref": "suvrashaw/exercise-data-leakage", "kernel_id": "18983973"}, {"ref": "suvrashaw/exercise-introduction", "kernel_id": "18983766"}, {"ref": "suvrashaw/exercise-missing-values", "kernel_id": "18983768"}, {"ref": "suvrashaw/exercise-categorical-variables", "kernel_id": "18983770"}, {"ref": "suvrashaw/exercise-your-first-machine-learning-model", "kernel_id": "18977837"}, {"ref": "suvrashaw/exercise-model-validation", "kernel_id": "18977838"}, {"ref": "suvrashaw/exercise-underfitting-and-overfitting", "kernel_id": "18977839"}, {"ref": "suvrashaw/exercise-random-forests", "kernel_id": "18977840"}, {"ref": "suvrashaw/exercise-machine-learning-competitions", "kernel_id": "18977841"}, {"ref": "udaykrgupta/exercise-underfitting-and-overfitting", "kernel_id": "18732616"}, {"ref": "udaykrgupta/exercise-random-forests", "kernel_id": "18732801"}, {"ref": "udaykrgupta/exercise-machine-learning-competitions", "kernel_id": "18732838"}, {"ref": "rexa308/exercise-pipelines", "kernel_id": "18650614"}, {"ref": "rexa308/exercise-missing-values", "kernel_id": "18630569"}, {"ref": "dapingzhang/experiment-3-model-selection", "kernel_id": "18345220"}, {"ref": "dapingzhang/project-source-code", "kernel_id": "18356758"}, {"ref": "kylethomson2/housing-rf-submission", "kernel_id": "18229387"}, {"ref": "mohammadjamiluddin/exercise-your-first-machine-learning-model", "kernel_id": "18858597"}, {"ref": "meghaljambhale/exercise-random-forests", "kernel_id": "18572446"}, {"ref": "niketku/exercise-your-first-machine-learning-model", "kernel_id": "18550920"}, {"ref": "niketku/exercise-model-validation", "kernel_id": "18551568"}, {"ref": "geetikatadlimbekar/exercise-your-first-machine-learning-model", "kernel_id": "18465657"}, {"ref": "sivanandamandapati/exercise-machine-learning-competitions", "kernel_id": "18109973"}, {"ref": "arushss/exercise-missing-values", "kernel_id": "18111021"}, {"ref": "amreddesoky/misunderstanding-exercise-model-validation", "kernel_id": "18351199"}, {"ref": "mahima2318/exercise-missing-values", "kernel_id": "18421475"}, {"ref": "junhyeok99/top-2-for-beginner-automl", "kernel_id": "18347901"}, {"ref": "tinroy7/exercise-machine-learning-competitions", "kernel_id": "18532385"}, {"ref": "agneeshwaranv/exercise-machine-learning-competitions", "kernel_id": "18866716"}, {"ref": "umarhidayatullah/exercise-model-validation", "kernel_id": "18639465"}, {"ref": "jaikr18/housing-prices", "kernel_id": "18878890"}, {"ref": "asmasyafiqah/housing-prices-prediction", "kernel_id": "18995068"}, {"ref": "huzaifams/exercise-your-first-machine-learning-model", "kernel_id": "18431400"}, {"ref": "sergejnuss/house-prices-pipeline-cross-validation", "kernel_id": "18893772"}, {"ref": "satya280683/exercise-random-forests", "kernel_id": "18778822"}, {"ref": "aditi88/exercise-introduction", "kernel_id": "18339288"}, {"ref": "misoramen/house-price-of-iowa", "kernel_id": "18582494"}, {"ref": "abhisheksrivastava07/exercise-underfitting-and-overfitting", "kernel_id": "18353609"}, {"ref": "abhisheksrivastava07/exercise-machine-learning-competitions", "kernel_id": "18354266"}, {"ref": "ameythakur20/exercise-cross-validation", "kernel_id": "18827232"}, {"ref": "ameythakur20/exercise-introduction", "kernel_id": "18806882"}, {"ref": "ameythakur20/exercise-missing-values", "kernel_id": "18807039"}, {"ref": "ameythakur20/exercise-categorical-variables", "kernel_id": "18807171"}, {"ref": "ameythakur20/exercise-data-leakage", "kernel_id": "18807274"}, {"ref": "ameythakur20/exercise-underfitting-and-overfitting", "kernel_id": "18806162"}, {"ref": "ameythakur20/exercise-pipelines", "kernel_id": "18807442"}, {"ref": "ameythakur20/exercise-xgboost", "kernel_id": "18807365"}, {"ref": "ameythakur20/exercise-machine-learning-competitions", "kernel_id": "18787606"}, {"ref": "ameythakur20/exercise-random-forests", "kernel_id": "18787610"}, {"ref": "ameythakur20/exercise-model-validation", "kernel_id": "18787615"}, {"ref": "ameythakur20/exercise-your-first-machine-learning-model", "kernel_id": "18787618"}, {"ref": "chemingli/saleprice-prediction", "kernel_id": "18578445"}, {"ref": "matthewnelson98/7-8-exercise-your-first-machine-learning-model", "kernel_id": "18584177"}, {"ref": "evagao/machine-learning-competitions", "kernel_id": "18791492"}, {"ref": "nesterenkomarina/14967-88767-score-housing-prices-competition", "kernel_id": "18828532"}, {"ref": "kholoodsajid/exercise-your-first-machine-learning-model", "kernel_id": "18778528"}, {"ref": "kholoodsajid/exercise-random-forests", "kernel_id": "18988943"}, {"ref": "kholoodsajid/exercise-underfitting-and-overfitting", "kernel_id": "18988690"}, {"ref": "kholoodsajid/exercise-model-validation", "kernel_id": "18987989"}, {"ref": "kirankarthikeyan/exercise-machine-learning-competitions", "kernel_id": "18829789"}, {"ref": "kirankarthikeyan/exercise-random-forests", "kernel_id": "18827306"}, {"ref": "coderkayla/exercise-model-validation", "kernel_id": "18928855"}, {"ref": "mahjabeenamira/exercise-your-first-machine-learning-model", "kernel_id": "18883414"}, {"ref": "mahjabeenamira/exercise-underfitting-and-overfitting", "kernel_id": "18884232"}, {"ref": "mahjabeenamira/exercise-machine-learning-competitions", "kernel_id": "18884765"}, {"ref": "mahjabeenamira/exercise-random-forests", "kernel_id": "18884581"}, {"ref": "dantrellcinco/notebook9f666f4980", "kernel_id": "18928862"}, {"ref": "dmitryslutsky/exercise-machine-learning-competitions", "kernel_id": "19672712"}, {"ref": "joaorenatofalcao/exercise-machine-learning-competitions", "kernel_id": "19663145"}, {"ref": "gijigae/exercise-your-first-machine-learning-model", "kernel_id": "19052915"}, {"ref": "arigig/9-2exercise-model-validation", "kernel_id": "19523280"}, {"ref": "arigig/30-days-of-ml-day-9-1", "kernel_id": "19522463"}, {"ref": "arigig/exercise-categorical-variables", "kernel_id": "19695285"}, {"ref": "arigig/30-days-of-ml-day-10-1", "kernel_id": "19659780"}, {"ref": "rickynauvaldy/exercise-machine-learning-competitions", "kernel_id": "19599351"}, {"ref": "rickynauvaldy/exercise-introduction", "kernel_id": "19699752"}, {"ref": "rickynauvaldy/exercise-missing-values", "kernel_id": "19699756"}, {"ref": "rickynauvaldy/exercise-categorical-variables", "kernel_id": "19699757"}, {"ref": "anmolkapoor/exercise-machine-learning-competitions", "kernel_id": "19840921"}, {"ref": "sravyaysk/exercise-model-validation-d9-30-days-of-ml", "kernel_id": "19657987"}, {"ref": "sravyaysk/model-validation-d9-30days-of-ml", "kernel_id": "19657994"}, {"ref": "sravyaysk/your-first-machine-learning-model-d9-30-days-of-ml", "kernel_id": "19653307"}, {"ref": "sravyaysk/ex-yourfirst-machinelearning-model-d9-30days-of-ml", "kernel_id": "19653720"}, {"ref": "sravyaysk/exercise-random-forests-d10-30days-of-ml", "kernel_id": "19665076"}, {"ref": "sravyaysk/random-forests-d10-30-days-of-ml", "kernel_id": "19665081"}, {"ref": "sravyaysk/ex-underfitting-overfitting-d10-30days-of-ml", "kernel_id": "19664328"}, {"ref": "sravyaysk/underfitting-and-overfitting-d10-30days-of-ml", "kernel_id": "19664334"}, {"ref": "sravyaysk/exercise-missing-values-d12-30days-of-ml", "kernel_id": "19754130"}, {"ref": "sravyaysk/missing-values-d12-30days-of-ml", "kernel_id": "19754228"}, {"ref": "sravyaysk/exercise-categorical-variables-d12-30days-of-ml", "kernel_id": "19757675"}, {"ref": "sravyaysk/categorical-variables-d12-30days-of-ml", "kernel_id": "19757719"}, {"ref": "sravyaysk/exercise-introduction-d12-30days-of-ml", "kernel_id": "19752197"}, {"ref": "sravyaysk/introduction-d12-30days-of-ml", "kernel_id": "19752433"}, {"ref": "sravyaysk/machine-learning-competitions-d11-30days-of-ml", "kernel_id": "19698352"}, {"ref": "sravyaysk/ex-machine-learning-competitions-d11-30days-of-ml", "kernel_id": "19698367"}, {"ref": "sravyaysk/how-models-work-d8-30-days-of-ml", "kernel_id": "19421197"}, {"ref": "sravyaysk/basic-data-exploration-d8-30-days-of-ml", "kernel_id": "19422189"}, {"ref": "marifuzzaman/exercise-machine-learning-competitions", "kernel_id": "19590242"}, {"ref": "vrindaprabhu/exercise-categorical-variables", "kernel_id": "19725834"}, {"ref": "janpuhou/exercise-random-forests", "kernel_id": "19533676"}, {"ref": "gauravbrills/house-price-fiddle", "kernel_id": "19587221"}, {"ref": "akash17/exercise-machine-learning-competitions", "kernel_id": "19662584"}, {"ref": "akash17/exercise-missing-values", "kernel_id": "19663643"}, {"ref": "akash17/exercise-underfitting-and-overfitting", "kernel_id": "19660888"}, {"ref": "akash17/exercise-categorical-variables", "kernel_id": "19993231"}, {"ref": "rajkislayraj/exercise-your-first-machine-learning-model", "kernel_id": "19425997"}, {"ref": "rajkislayraj/exercise-model-validation", "kernel_id": "19429826"}, {"ref": "rajkislayraj/exercise-machine-learning-competitions", "kernel_id": "19515008"}, {"ref": "rajkislayraj/exercise-introduction", "kernel_id": "19519968"}, {"ref": "hisaylama/exercise-random-forests", "kernel_id": "19543867"}, {"ref": "irares/exercise-underfitting-and-overfitting", "kernel_id": "19624059"}, {"ref": "irares/exercise-random-forests", "kernel_id": "19659813"}, {"ref": "gooner1997/exercise-missing-values", "kernel_id": "19950338"}, {"ref": "gooner1997/exercise-introduction", "kernel_id": "19927978"}, {"ref": "rudralad/exercise-machine-learning-competitions", "kernel_id": "19526146"}, {"ref": "maikai/exercise-underfitting-and-overfitting", "kernel_id": "19827223"}, {"ref": "maikai/exercise-model-validation", "kernel_id": "19826240"}, {"ref": "maikai/exercise-your-first-machine-learning-model", "kernel_id": "19825479"}, {"ref": "maikai/exercise-machine-learning-competitions", "kernel_id": "19862274"}, {"ref": "maikai/exercise-random-forests", "kernel_id": "19862002"}, {"ref": "maikai/exercise-introduction", "kernel_id": "19895261"}, {"ref": "maikai/exercise-missing-values", "kernel_id": "19895493"}, {"ref": "maikai/exercise-categorical-variables", "kernel_id": "19898072"}, {"ref": "ramkumarkr/day-9-exercise-model-validation", "kernel_id": "19942166"}, {"ref": "alfredtangss/exercise-model-validation", "kernel_id": "19923525"}, {"ref": "alfredtangss/exercise-your-first-machine-learning-model", "kernel_id": "19876229"}, {"ref": "alfredtangss/exercise-machine-learning-competitions", "kernel_id": "19953592"}, {"ref": "alfredtangss/exercise-underfitting-and-overfitting", "kernel_id": "19949707"}, {"ref": "alfredtangss/exercise-random-forests", "kernel_id": "19953005"}, {"ref": "alfredtangss/exercise-introduction", "kernel_id": "19982996"}, {"ref": "alfredtangss/exercise-missing-values", "kernel_id": "19989461"}, {"ref": "lazymahendra/exercise-machine-learning-competitions", "kernel_id": "19590432"}, {"ref": "injamul/housingpricescompetition", "kernel_id": "19702326"}, {"ref": "pawaragunawardena/exercise-xgboost", "kernel_id": "19946287"}, {"ref": "pawaragunawardena/exercise-cross-validation", "kernel_id": "19945247"}, {"ref": "pawaragunawardena/exercise-data-leakage", "kernel_id": "19952248"}, {"ref": "pawaragunawardena/housing-prices-xgboost-version-6", "kernel_id": "19967800"}, {"ref": "pawaragunawardena/exercise-categorical-variables", "kernel_id": "19931585"}, {"ref": "studentar/exercise-your-first-machine-learning-model", "kernel_id": "19159650"}, {"ref": "studentar/exercise-categorical-variables", "kernel_id": "19636364"}, {"ref": "studentar/exercise-random-forests", "kernel_id": "19523392"}, {"ref": "studentar/exercise-underfitting-and-overfitting", "kernel_id": "19522810"}, {"ref": "adizafar/exercise-underfitting-and-overfitting", "kernel_id": "19599878"}, {"ref": "adizafar/exercise-random-forests", "kernel_id": "19600598"}, {"ref": "adizafar/exercise-model-validation", "kernel_id": "19599227"}, {"ref": "adizafar/exercise-your-first-machine-learning-model", "kernel_id": "19598430"}, {"ref": "adizafar/exercise-machine-learning-competitions", "kernel_id": "19600958"}, {"ref": "adizafar/exercise-pipelines", "kernel_id": "19787863"}, {"ref": "adizafar/exercise-cross-validation", "kernel_id": "19788215"}, {"ref": "adizafar/exercise-categorical-variables", "kernel_id": "19787158"}, {"ref": "adizafar/exercise-missing-values", "kernel_id": "19786571"}, {"ref": "adizafar/exercise-introduction", "kernel_id": "19786246"}, {"ref": "giovanimachado/exercise-pipelines-iml-course-best-submission", "kernel_id": "19707039"}, {"ref": "tuniosuleman/house-price-prediction", "kernel_id": "19578309"}, {"ref": "patrickruan/exercise-machine-learning-competitions", "kernel_id": "19573986"}, {"ref": "patrickruan/exercise-introduction", "kernel_id": "19620500"}, {"ref": "patrickruan/exercise-missing-values", "kernel_id": "19621209"}, {"ref": "patrickruan/exercise-categorical-variables", "kernel_id": "19622253"}, {"ref": "patrickruan/exercise-cross-validation", "kernel_id": "19661842"}, {"ref": "sujit2018/exercise-missing-values", "kernel_id": "19685521"}, {"ref": "aashish1111/exercise-your-first-machine-learning-model", "kernel_id": "19749016"}, {"ref": "truocpham/exercise-machine-learning-competitions", "kernel_id": "19105620"}, {"ref": "vijay12345/exercise-cross-validation", "kernel_id": "19801426"}, {"ref": "vijay12345/exercise-categorical-variables", "kernel_id": "19791273"}, {"ref": "vijay12345/exercise-missing-values", "kernel_id": "19690317"}, {"ref": "vijay12345/exercise-rf-machine-learning-model", "kernel_id": "19568441"}, {"ref": "aozorahime/exercise-categorical-variables", "kernel_id": "19006221"}, {"ref": "raj778/exercise-pipelines", "kernel_id": "19892619"}, {"ref": "anthonytth/exercise-cross-validation", "kernel_id": "19735476"}, {"ref": "anthonytth/exercise-data-leakage", "kernel_id": "19742550"}, {"ref": "anthonytth/exercise-xgboost", "kernel_id": "19739998"}, {"ref": "anthonytth/exercise-introduction", "kernel_id": "19696719"}, {"ref": "anthonytth/exercise-missing-values", "kernel_id": "19699446"}, {"ref": "anthonytth/exercise-categorical-variables", "kernel_id": "19703391"}, {"ref": "anthonytth/exercise-pipelines", "kernel_id": "19706713"}, {"ref": "anthonytth/exercise-random-forests", "kernel_id": "19580848"}, {"ref": "anthonytth/exercise-machine-learning-competitions", "kernel_id": "19579845"}, {"ref": "anthonytth/exercise-underfitting-and-overfitting", "kernel_id": "19579202"}, {"ref": "anthonytth/exercise-your-first-machine-learning-model", "kernel_id": "19576778"}, {"ref": "anthonytth/exercise-model-validation", "kernel_id": "19577790"}, {"ref": "yosrinegm/exercise-machine-learning-competitions", "kernel_id": "19679965"}, {"ref": "guido01/exercise-categorical-variables", "kernel_id": "19915849"}, {"ref": "ankit974gupta/exercise-model-validation", "kernel_id": "19574171"}, {"ref": "ankit974gupta/exercise-underfitting-and-overfitting", "kernel_id": "19623970"}, {"ref": "florinv/exercise-underfitting-and-overfitting", "kernel_id": "19019147"}, {"ref": "pro1amr/exercise-pipelines", "kernel_id": "19857511"}, {"ref": "deepbloosee/exercise-categorical-variables", "kernel_id": "19676439"}, {"ref": "nilimajain/exercise-random-forests", "kernel_id": "19598643"}, {"ref": "nilimajain/exercise-machine-learning-competitions", "kernel_id": "19598927"}, {"ref": "nilimajain/exercise-categorical-variables", "kernel_id": "19707778"}, {"ref": "nilimajain/exercise-pipelines", "kernel_id": "19709517"}, {"ref": "nilimajain/exercise-cross-validation", "kernel_id": "19710208"}, {"ref": "nilimajain/exercise-introduction", "kernel_id": "19703308"}, {"ref": "nilimajain/exercise-missing-values", "kernel_id": "19705181"}, {"ref": "nilimajain/exercise-data-leakage", "kernel_id": "19746656"}, {"ref": "nilimajain/exercise-xgboost", "kernel_id": "19744594"}, {"ref": "nilimajain/exercise-your-first-machine-learning-model", "kernel_id": "19526130"}, {"ref": "nilimajain/exercise-model-validation", "kernel_id": "19527255"}, {"ref": "nilimajain/exercise-underfitting-and-overfitting", "kernel_id": "19528785"}, {"ref": "jingyudehu/exercise-underfitting-and-overfitting", "kernel_id": "19672615"}, {"ref": "abhiroop43/notebook9bdcafaa6b", "kernel_id": "19547026"}, {"ref": "abhiroop43/exercise-missing-values", "kernel_id": "19690068"}, {"ref": "abhiroop43/exercise-introduction", "kernel_id": "19688853"}, {"ref": "abhiroop43/exercise-underfitting-and-overfitting", "kernel_id": "19600433"}, {"ref": "abhiroop43/exercise-model-validation", "kernel_id": "19599879"}, {"ref": "abhiroop43/exercise-random-forests", "kernel_id": "19601091"}, {"ref": "abhiroop43/exercise-machine-learning-competitions", "kernel_id": "19601317"}, {"ref": "abhiroop43/exercise-categorical-variables", "kernel_id": "19910002"}, {"ref": "abhiroop43/exercise-pipelines", "kernel_id": "19911843"}, {"ref": "haozhang607/exercise-introduction", "kernel_id": "19726747"}, {"ref": "haozhang607/exercise-xgboost", "kernel_id": "19943297"}, {"ref": "haozhang607/exercise-underfitting-and-overfitting", "kernel_id": "19871807"}, {"ref": "haozhang607/exercise-machine-learning-competitions", "kernel_id": "19889904"}, {"ref": "haozhang607/exercise-random-forests", "kernel_id": "19889841"}, {"ref": "haozhang607/exercise-model-validation", "kernel_id": "19854647"}, {"ref": "haozhang607/exercise-your-first-machine-learning-model", "kernel_id": "19816702"}, {"ref": "haozhang607/exercise-missing-values", "kernel_id": "19944433"}, {"ref": "haozhang607/exercise-categorical-variables", "kernel_id": "19990156"}, {"ref": "rahul2020/exercise-your-first-machine-learning-model", "kernel_id": "19494825"}, {"ref": "rahul2020/exercise-model-validation", "kernel_id": "19495469"}, {"ref": "rahul2020/exercise-random-forests", "kernel_id": "19545042"}, {"ref": "rahul2020/exercise-underfitting-and-overfitting", "kernel_id": "19544696"}, {"ref": "rahul2020/exercise-machine-learning-competitions", "kernel_id": "19593383"}, {"ref": "saipklv/exercise-underfitting-and-overfitting", "kernel_id": "19676233"}, {"ref": "akshat2200/machine-learning-competitions-introduction", "kernel_id": "19649036"}, {"ref": "amravi/exercise-model-validation", "kernel_id": "19420448"}, {"ref": "amravi/exercise-your-first-machine-learning-model", "kernel_id": "19418664"}, {"ref": "asadraza825/housing-price-prediction", "kernel_id": "19946125"}, {"ref": "mohamedgamal1/exercise-your-first-machine-learning-model", "kernel_id": "19489061"}, {"ref": "mohamedgamal1/exercise-pipelines", "kernel_id": "19691936"}, {"ref": "mohamedgamal1/exercise-cross-validation", "kernel_id": "19692106"}, {"ref": "mohamedgamal1/exercise-random-forests", "kernel_id": "19583310"}, {"ref": "mohamedgamal1/exercise-underfitting-and-overfitting", "kernel_id": "19583166"}, {"ref": "mohamedgamal1/exercise-machine-learning-competitions", "kernel_id": "19583440"}, {"ref": "mohamedgamal1/exercise-introduction", "kernel_id": "19669753"}, {"ref": "mohamedgamal1/exercise-missing-values", "kernel_id": "19669890"}, {"ref": "mohamedgamal1/exercise-categorical-variables", "kernel_id": "19670052"}, {"ref": "mohamedgamal1/exercise-data-leakage", "kernel_id": "19810576"}, {"ref": "mohamedgamal1/exercise-xgboost", "kernel_id": "19810031"}, {"ref": "jrybarczyk/exercise-missing-values", "kernel_id": "19672710"}, {"ref": "jrybarczyk/exercise-introduction", "kernel_id": "19616167"}, {"ref": "jrybarczyk/exercise-your-first-machine-learning-model", "kernel_id": "19488967"}, {"ref": "jrybarczyk/exercise-model-validation", "kernel_id": "19488968"}, {"ref": "jrybarczyk/exercise-underfitting-and-overfitting", "kernel_id": "19527825"}, {"ref": "jrybarczyk/exercise-random-forests", "kernel_id": "19533891"}, {"ref": "jrybarczyk/exercise-machine-learning-competitions", "kernel_id": "19533989"}, {"ref": "omarwael/exercise-underfitting-and-overfitting", "kernel_id": "19701149"}, {"ref": "omarwael/exercise-your-first-machine-learning-model", "kernel_id": "19698507"}, {"ref": "chandan0709/exercise-machine-learning-competitions", "kernel_id": "19581510"}, {"ref": "kesavsivakumar/exercise-underfitting-and-overfitting", "kernel_id": "19448677"}, {"ref": "kesavsivakumar/exercise-machine-learning-competitions", "kernel_id": "19449185"}, {"ref": "kesavsivakumar/exercise-random-forests", "kernel_id": "19449003"}, {"ref": "zpraj09/exercise-xgboost-zp", "kernel_id": "19754826"}, {"ref": "rajeshk1973/exercise-random-forests", "kernel_id": "19754708"}, {"ref": "rajeshk1973/exercise-underfitting-and-overfitting", "kernel_id": "19702153"}, {"ref": "rajeshk1973/exercise-model-validation", "kernel_id": "19699760"}, {"ref": "rajeshk1973/exercise-your-first-machine-learning-model", "kernel_id": "19693371"}, {"ref": "edynsoncoronado/exercise-underfitting-and-overfitting", "kernel_id": "19337421"}, {"ref": "edynsoncoronado/exercise-random-forests", "kernel_id": "19368439"}, {"ref": "saintaardvark/notebook9fbcff023d", "kernel_id": "19621195"}, {"ref": "mehtasham/exercise-model-validation", "kernel_id": "19165684"}, {"ref": "mehtasham/exercise-underfitting-and-overfitting", "kernel_id": "19169929"}, {"ref": "mehtasham/exercise-random-forests", "kernel_id": "19181874"}, {"ref": "mehtasham/exercise-your-first-machine-learning-model", "kernel_id": "19112004"}, {"ref": "purumalgi/day-11-30-30-days-of-ml", "kernel_id": "19318612"}, {"ref": "chiuyuwen91/day-10-2-exercise-random-forest", "kernel_id": "19578272"}, {"ref": "chiuyuwen91/day-10-1-exercise-underfitting-and-overfitting", "kernel_id": "19534492"}, {"ref": "jzdsml/30-days-of-ml-day-14-xgboost", "kernel_id": "19719937"}, {"ref": "jzdsml/30-days-of-ml-day-14-data-leakage", "kernel_id": "19720605"}, {"ref": "jzdsml/30-days-of-ml-day-12-intermediate-ml-intro", "kernel_id": "19631679"}, {"ref": "jzdsml/30-days-of-ml-day-12-missing-values", "kernel_id": "19631888"}, {"ref": "jzdsml/30-days-of-ml-day-12-categorical-variables", "kernel_id": "19632287"}, {"ref": "jzdsml/30-days-of-ml-day-13-pipelines", "kernel_id": "19673060"}, {"ref": "jzdsml/30-days-of-ml-day-13-cross-validation", "kernel_id": "19673066"}, {"ref": "jzdsml/30-days-of-ml-day-11-ml-competitions", "kernel_id": "19588066"}, {"ref": "jzdsml/30-days-of-ml-day-10-under-overfitting", "kernel_id": "19536626"}, {"ref": "jzdsml/30-days-of-ml-day-10-random-forests", "kernel_id": "19536627"}, {"ref": "jzdsml/30-days-of-ml-day-09-first-ml-model", "kernel_id": "19488225"}, {"ref": "jzdsml/30-days-of-ml-day-09-model-validation", "kernel_id": "19488227"}, {"ref": "rsizem2/reference-intermediate-ml", "kernel_id": "19177531"}, {"ref": "rsizem2/kaggle-learn-reference-feature-engineering", "kernel_id": "19323429"}, {"ref": "maiashraf33/exercise-missing-values", "kernel_id": "19986060"}, {"ref": "bbhaskar8/exercise-categorical-variables-and-missing-values", "kernel_id": "19786018"}, {"ref": "bbhaskar8/exercise-introduction", "kernel_id": "19619974"}, {"ref": "bbhaskar8/exercise-missing-values", "kernel_id": "19621142"}, {"ref": "bbhaskar8/exercise-categorical-variables", "kernel_id": "19623296"}, {"ref": "bbhaskar8/exercise-machine-learning-competitions", "kernel_id": "19615121"}, {"ref": "bbhaskar8/exercise-your-first-machine-learning-model", "kernel_id": "19509249"}, {"ref": "bbhaskar8/exercise-model-validation", "kernel_id": "19511546"}, {"ref": "bbhaskar8/exercise-random-forests", "kernel_id": "19530787"}, {"ref": "bbhaskar8/exercise-underfitting-and-overfitting", "kernel_id": "19528849"}, {"ref": "moizkhan11/house-price-competition-top-35", "kernel_id": "19814119"}, {"ref": "moizkhan11/exercise-introduction", "kernel_id": "19813496"}, {"ref": "moizkhan11/exercise-house-price-top-15", "kernel_id": "19847932"}, {"ref": "legendsoul/30-days-of-ml-day-11-ml-exercise", "kernel_id": "19525521"}, {"ref": "anurag1817/exercise-underfitting-and-overfitting", "kernel_id": "19594950"}, {"ref": "anurag1817/exercise-random-forests", "kernel_id": "19595914"}, {"ref": "anurag1817/exercise-categorical-variables", "kernel_id": "19673464"}, {"ref": "anurag1817/exercise-model-validation", "kernel_id": "19520677"}, {"ref": "anurag1817/exercise-your-first-machine-learning-model", "kernel_id": "19518677"}, {"ref": "suvojeetdutta/day-14-exercise-2-data-leakage", "kernel_id": "19751498"}, {"ref": "suvojeetdutta/day-14-exercise-1-xgboost", "kernel_id": "19746120"}, {"ref": "suvojeetdutta/day-13-exercise-1-pipelines", "kernel_id": "19695884"}, {"ref": "suvojeetdutta/day-13-exercise-2-cross-validation", "kernel_id": "19699666"}, {"ref": "suvojeetdutta/day-12-exercise-3-categorical-variables", "kernel_id": "19681452"}, {"ref": "kefahaied/exercise-your-first-machine-learning-model-d8b379", "kernel_id": "19917330"}, {"ref": "kausheeki01/exercise-data-leakage", "kernel_id": "19653789"}, {"ref": "kausheeki01/exercise-xgboost", "kernel_id": "19653331"}, {"ref": "kausheeki01/exercise-cross-validation", "kernel_id": "19652869"}, {"ref": "kausheeki01/exercise-introduction", "kernel_id": "19635631"}, {"ref": "kausheeki01/exercise-categorical-variables", "kernel_id": "19636930"}, {"ref": "kausheeki01/exercise-missing-values", "kernel_id": "19636032"}, {"ref": "kausheeki01/exercise-pipelines", "kernel_id": "19652589"}, {"ref": "kausheeki01/housing-prices-competition-submission", "kernel_id": "19594570"}, {"ref": "kausheeki01/exercise-random-forests", "kernel_id": "19544989"}, {"ref": "kausheeki01/exercise-underfitting-and-overfitting", "kernel_id": "19544690"}, {"ref": "kausheeki01/exercise-model-validation", "kernel_id": "19496748"}, {"ref": "kausheeki01/exercise-your-first-machine-learning-model", "kernel_id": "19446726"}, {"ref": "sbasir/exercise-introduction", "kernel_id": "19617204"}, {"ref": "suhailsh7/exercise-model-validation", "kernel_id": "19857383"}, {"ref": "suhailsh7/exercise-random-forests", "kernel_id": "19858062"}, {"ref": "suhailsh7/exercise-machine-learning-competitions", "kernel_id": "19858117"}, {"ref": "suhailsh7/exercise-underfitting-and-overfitting", "kernel_id": "19857724"}, {"ref": "suhailsh7/exercise-your-first-machine-learning-model", "kernel_id": "19772186"}, {"ref": "shivamkc3/exercise-pipelines", "kernel_id": "19969353"}, {"ref": "amalshajiprof/exercise-your-first-machine-learning-model-090434", "kernel_id": "19844303"}, {"ref": "ganiyuolalekan/exercise-machine-learning-competition-finished", "kernel_id": "19525522"}, {"ref": "aquaregis32/house-price-rfregressor-hyperparam-tuning-sklearn", "kernel_id": "19850040"}, {"ref": "aquaregis32/house-price-xgboost-hyperparam-tuning", "kernel_id": "19863674"}, {"ref": "fatwheel/exercise-underfitting-and-overfitting", "kernel_id": "19835154"}, {"ref": "fatwheel/exercise-machine-learning-competitions", "kernel_id": "19835930"}, {"ref": "fatwheel/exercise-random-forests", "kernel_id": "19835610"}, {"ref": "fatwheel/exercise-model-validation", "kernel_id": "19788805"}, {"ref": "fatwheel/exercise-your-first-machine-learning-model", "kernel_id": "19786470"}, {"ref": "m3gal0/exercise-missing-values", "kernel_id": "19503231"}, {"ref": "m3gal0/exercise-categorical-variables", "kernel_id": "19503985"}, {"ref": "m3gal0/exercise-pipelines", "kernel_id": "19511639"}, {"ref": "masood1402/your-first-machine-learning-model", "kernel_id": "19476811"}, {"ref": "masood1402/exercise-model-validation", "kernel_id": "19479257"}, {"ref": "masood1402/exercise-underfitting-and-overfitting", "kernel_id": "19510539"}, {"ref": "masood1402/exercise-random-forests", "kernel_id": "19528875"}, {"ref": "masood1402/exercise-data-leakage", "kernel_id": "19705912"}, {"ref": "masood1402/exercise-xgboost", "kernel_id": "19704392"}, {"ref": "masood1402/exercise-cross-validation", "kernel_id": "19664960"}, {"ref": "masood1402/pipelines", "kernel_id": "19663743"}, {"ref": "masood1402/introduction", "kernel_id": "19638326"}, {"ref": "masood1402/missing-values", "kernel_id": "19638368"}, {"ref": "masood1402/categorical-variables", "kernel_id": "19639110"}, {"ref": "masood1402/exercise-your-first-machine-learning-model", "kernel_id": "19297426"}, {"ref": "masood1402/how-models-work", "kernel_id": "19037667"}, {"ref": "anirbansaha96/exercise-your-first-machine-learning-model-c655fc", "kernel_id": "19501418"}, {"ref": "anirbansaha96/exercise-xgboost", "kernel_id": "19722804"}, {"ref": "windsuzu/review-of-intermediate-machine-learning", "kernel_id": "19743261"}, {"ref": "yusrashereen/exercise-pipelines", "kernel_id": "19664269"}, {"ref": "harshyeola/exercise-missing-values", "kernel_id": "19662558"}, {"ref": "harshyeola/exercise-introduction", "kernel_id": "19647282"}, {"ref": "harshyeola/exercise-machine-learning-competitions", "kernel_id": "19637421"}, {"ref": "harshyeola/exercise-categorical-variables", "kernel_id": "19702260"}, {"ref": "harshyeola/exercise-your-first-machine-learning-model", "kernel_id": "19430426"}, {"ref": "harshyeola/exercise-underfitting-and-overfitting", "kernel_id": "19480903"}, {"ref": "harshyeola/exercise-model-validation", "kernel_id": "19449227"}, {"ref": "harshyeola/exercise-random-forests", "kernel_id": "19545343"}, {"ref": "harshyeola/exercise-pipelines", "kernel_id": "19811917"}, {"ref": "harshyeola/exercise-cross-validation", "kernel_id": "19813953"}, {"ref": "harshyeola/exercise-data-leakage", "kernel_id": "19827735"}, {"ref": "harshyeola/exercise-xgboost", "kernel_id": "19825714"}, {"ref": "ahsanzaman/exercise-cross-validation", "kernel_id": "19834430"}, {"ref": "ahsanzaman/exercise-xgboost", "kernel_id": "19835274"}, {"ref": "gabrielkieruzel/notebookaedc1acda7", "kernel_id": "19692866"}, {"ref": "turhancankargin/exercise-random-forests", "kernel_id": "19817112"}, {"ref": "turhancankargin/exercise-machine-learning-competitions", "kernel_id": "19817246"}, {"ref": "turhancankargin/exercise-underfitting-and-overfitting", "kernel_id": "19802944"}, {"ref": "turhancankargin/exercise-model-validation", "kernel_id": "19798033"}, {"ref": "turhancankargin/exercise-your-first-machine-learning-model", "kernel_id": "19797172"}, {"ref": "turhancankargin/exercise-categorical-variables", "kernel_id": "19836361"}, {"ref": "turhancankargin/exercise-introduction", "kernel_id": "19834811"}, {"ref": "turhancankargin/exercise-missing-values", "kernel_id": "19835188"}, {"ref": "turhancankargin/exercise-pipelines", "kernel_id": "19887461"}, {"ref": "turhancankargin/exercise-cross-validation", "kernel_id": "19889040"}, {"ref": "turhancankargin/exercise-data-leakage", "kernel_id": "19984912"}, {"ref": "turhancankargin/exercise-xgboost", "kernel_id": "19984375"}, {"ref": "brandnewmin/exercise-underfitting-and-overfitting", "kernel_id": "19923347"}, {"ref": "brandnewmin/exercise-your-first-machine-learning-model", "kernel_id": "19747294"}, {"ref": "kensuzu/data-leakage-translation-in-japanese", "kernel_id": "19676968"}, {"ref": "harimi/exercise-machine-learning-competitions", "kernel_id": "19652805"}, {"ref": "harimi/exercise-your-first-machine-learning-model", "kernel_id": "19467701"}, {"ref": "harimi/exercise-model-validation", "kernel_id": "19564417"}, {"ref": "harimi/exercise-underfitting-and-overfitting", "kernel_id": "19565183"}, {"ref": "harimi/exercise-random-forests", "kernel_id": "19565184"}, {"ref": "saraswatitiwari/exercise-pipelines", "kernel_id": "19702363"}, {"ref": "saraswatitiwari/exercise-categorical-variables", "kernel_id": "19701140"}, {"ref": "saraswatitiwari/exercise-data-leakage", "kernel_id": "19704946"}, {"ref": "saraswatitiwari/exercise-cross-validation", "kernel_id": "19703051"}, {"ref": "saraswatitiwari/exercise-xgboost", "kernel_id": "19703750"}, {"ref": "buddikaweerasinghe/exercise-random-forests", "kernel_id": "19673124"}, {"ref": "buddikaweerasinghe/exercise-machine-learning-competitions", "kernel_id": "19673187"}, {"ref": "buddikaweerasinghe/exercise-underfitting-and-overfitting", "kernel_id": "19672831"}, {"ref": "buddikaweerasinghe/exercise-introduction", "kernel_id": "19776541"}, {"ref": "buddikaweerasinghe/exercise-missing-values", "kernel_id": "19776543"}, {"ref": "buddikaweerasinghe/exercise-categorical-variables", "kernel_id": "19776549"}, {"ref": "buddikaweerasinghe/exercise-your-first-machine-learning-model", "kernel_id": "19513767"}, {"ref": "buddikaweerasinghe/exercise-model-validation", "kernel_id": "19513772"}, {"ref": "buddikaweerasinghe/exercise-xgboost", "kernel_id": "19946478"}, {"ref": "buddikaweerasinghe/exercise-data-leakage", "kernel_id": "19946479"}, {"ref": "buddikaweerasinghe/exercise-cross-validation", "kernel_id": "19946178"}, {"ref": "buddikaweerasinghe/notebook7336bf3a22", "kernel_id": "19824229"}, {"ref": "qasimhassan/exercise-machine-learning-competitions", "kernel_id": "19594566"}, {"ref": "aliasgharsangah/exercise-data-leakage", "kernel_id": "19852739"}, {"ref": "aliasgharsangah/exercise-xgboost", "kernel_id": "19850855"}, {"ref": "aliasgharsangah/exercise-pipelines", "kernel_id": "19828456"}, {"ref": "aliasgharsangah/exercise-cross-validation", "kernel_id": "19839836"}, {"ref": "hrugvedkolhe/exercise-pipelines-improved", "kernel_id": "19662054"}, {"ref": "hrugvedkolhe/exercise-categorical-variables", "kernel_id": "19624666"}, {"ref": "hrugvedkolhe/exercise-missing-values", "kernel_id": "19624669"}, {"ref": "hrugvedkolhe/exercise-model-improved", "kernel_id": "19624672"}, {"ref": "hrugvedkolhe/exercise-machine-learning-competitions-2", "kernel_id": "19573253"}, {"ref": "hrugvedkolhe/exercise-random-forests", "kernel_id": "19526653"}, {"ref": "hrugvedkolhe/exercise-underfitting-and-overfitting", "kernel_id": "19526660"}, {"ref": "hrugvedkolhe/exercise-your-first-machine-learning-model", "kernel_id": "19475987"}, {"ref": "hrugvedkolhe/exercise-model-validation", "kernel_id": "19475994"}, {"ref": "isissantoscosta/exercise-missing-values", "kernel_id": "19973355"}, {"ref": "yoseflm/exercise-model-validation", "kernel_id": "19505408"}, {"ref": "eo4wellness/exercise-xgboost", "kernel_id": "19891024"}, {"ref": "eo4wellness/exercise-data-leakage", "kernel_id": "19891196"}, {"ref": "eo4wellness/exercise-cross-validation", "kernel_id": "19851027"}, {"ref": "eo4wellness/exercise-model-validation", "kernel_id": "19671980"}, {"ref": "eo4wellness/exercise-your-first-machine-learning-model", "kernel_id": "19670878"}, {"ref": "eo4wellness/exercise-introduction", "kernel_id": "19710625"}, {"ref": "eo4wellness/exercise-missing-values", "kernel_id": "19716576"}, {"ref": "gurubm/exercise-underfitting-and-overfitting", "kernel_id": "19913956"}, {"ref": "gurubm/random-forests", "kernel_id": "19914304"}, {"ref": "gurubm/exercise-random-forests", "kernel_id": "19914353"}, {"ref": "gurubm/underfitting-and-overfitting", "kernel_id": "19884668"}, {"ref": "gurubm/model-validation", "kernel_id": "19848698"}, {"ref": "gurubm/exercise-your-first-machine-learning-model", "kernel_id": "19847515"}, {"ref": "gurubm/exercise-model-validation", "kernel_id": "19848628"}, {"ref": "gurubm/basic-data-exploration", "kernel_id": "19846406"}, {"ref": "gurubm/your-first-machine-learning-model", "kernel_id": "19846763"}, {"ref": "kakapari/exercise-your-first-machine-learning-model", "kernel_id": "19467204"}, {"ref": "kakapari/exercise-model-validation", "kernel_id": "19528650"}, {"ref": "kakapari/exercise-random-forests", "kernel_id": "19624042"}, {"ref": "kakapari/exercise-underfitting-and-overfitting", "kernel_id": "19623252"}, {"ref": "kakapari/exercise-machine-learning-competitions", "kernel_id": "19610073"}, {"ref": "kakapari/exercise-cross-validation", "kernel_id": "19943960"}, {"ref": "kakapari/exercise-pipelines", "kernel_id": "19934462"}, {"ref": "kakapari/exercise-missing-values", "kernel_id": "19851266"}, {"ref": "ehitdeepakthakur/exercise-your-first-machine-learning-model", "kernel_id": "19788989"}, {"ref": "ehitdeepakthakur/exercise-underfitting-and-overfitting", "kernel_id": "19790899"}, {"ref": "ehitdeepakthakur/exercise-model-validation", "kernel_id": "19789889"}, {"ref": "ehitdeepakthakur/exercise-random-forests", "kernel_id": "19792053"}, {"ref": "ehitdeepakthakur/exercise-introduction", "kernel_id": "19794177"}, {"ref": "ehitdeepakthakur/exercise-machine-learning-competitions", "kernel_id": "19792567"}, {"ref": "cjyen72/30-days-of-ml-day-11-competitions", "kernel_id": "19595070"}, {"ref": "cjyen72/30-days-of-ml-day-12-1-intermediate-ml", "kernel_id": "19628332"}, {"ref": "cjyen72/the-30-days-ml-day-12-2-missing-values", "kernel_id": "19639728"}, {"ref": "cjyen72/day-13-1-of-kaggle-30-ml-pipelines", "kernel_id": "19646972"}, {"ref": "cjyen72/day-13-2-of-kaggle-30-ml-cross-validation", "kernel_id": "19646974"}, {"ref": "cjyen72/the-30-days-of-ml-day-12-3-categorical-variables", "kernel_id": "19642486"}, {"ref": "saifurrahmanshatil/day-14-exercise-xgboost", "kernel_id": "19942462"}, {"ref": "saifurrahmanshatil/day-14-exercise-data-leakage", "kernel_id": "19941780"}, {"ref": "saifurrahmanshatil/day-13-exercise-pipelines", "kernel_id": "19700867"}, {"ref": "saifurrahmanshatil/day-11-exercise-machine-learning-competitions", "kernel_id": "19613833"}, {"ref": "saifurrahmanshatil/day-12-exercise-introduction-intermediate-ml", "kernel_id": "19617666"}, {"ref": "saifurrahmanshatil/day-12-exercise-categorical-variables", "kernel_id": "19661091"}, {"ref": "saifurrahmanshatil/day-12-exercise-missing-values", "kernel_id": "19638686"}, {"ref": "saifurrahmanshatil/day-9-exercise-model-validation", "kernel_id": "19526479"}, {"ref": "saifurrahmanshatil/day-9-exercise-your-first-machine-learning-model", "kernel_id": "19523275"}, {"ref": "saifurrahmanshatil/day-10-exercise-underfitting-and-overfitting", "kernel_id": "19573774"}, {"ref": "saifurrahmanshatil/day-10-exercise-random-forests", "kernel_id": "19577475"}, {"ref": "ashraful25/notebook9f95987b98", "kernel_id": "19765032"}, {"ref": "magnusslg/exercise-machine-learning-competitions", "kernel_id": "19096213"}, {"ref": "magnusslg/exercise-model-validation", "kernel_id": "19091113"}, {"ref": "magnusslg/exercise-underfitting-and-overfitting", "kernel_id": "19092904"}, {"ref": "afzalshaikh010/simple-housing-dataset-notebook", "kernel_id": "19345357"}, {"ref": "hunterbamel/exercise-categorical-variables", "kernel_id": "19682758"}, {"ref": "hunterbamel/exercise-xgboost", "kernel_id": "19751733"}, {"ref": "davidquintanilla/exercise-missing-values", "kernel_id": "19635246"}, {"ref": "junyeongyu/exercise-pipelines", "kernel_id": "19669855"}, {"ref": "atharvjairath/exercise-model-validation", "kernel_id": "19474153"}, {"ref": "constancewong/exercise-your-first-machine-learning-model", "kernel_id": "19467238"}, {"ref": "tyagishivani00/exercise-underfitting-and-overfitting", "kernel_id": "19083344"}, {"ref": "tyagishivani00/exercise-cross-validation", "kernel_id": "19726665"}, {"ref": "tyagishivani00/exercise-data-leakage", "kernel_id": "19732864"}, {"ref": "tyagishivani00/exercise-xgboost", "kernel_id": "19731573"}, {"ref": "tyagishivani00/exercise-machine-learning-competitions", "kernel_id": "19547362"}, {"ref": "nusratjahanpritha/exercise-your-first-machine-learning-model", "kernel_id": "19671436"}, {"ref": "nusratjahanpritha/exercise-cross-validation", "kernel_id": "19745592"}, {"ref": "nusratjahanpritha/exercise-introduction", "kernel_id": "19777765"}, {"ref": "nusratjahanpritha/exercise-random-forests", "kernel_id": "19763297"}, {"ref": "nusratjahanpritha/exercise-machine-learning-competitions", "kernel_id": "19751121"}, {"ref": "nusratjahanpritha/exercise-underfitting-and-overfitting", "kernel_id": "19754779"}, {"ref": "nusratjahanpritha/exercise-model-validation", "kernel_id": "19697816"}, {"ref": "immaculatechinonso/exercise-machine-learning-competitions", "kernel_id": "19536882"}, {"ref": "anikkumar/exercise-model-validation", "kernel_id": "19579685"}, {"ref": "paguila/exercise-pipelines", "kernel_id": "19671925"}, {"ref": "paguila/exercise-missing-values", "kernel_id": "19660797"}, {"ref": "paguila/exercise-introduction", "kernel_id": "19658673"}, {"ref": "saadasghar/exercise-categorical-variables", "kernel_id": "19952516"}, {"ref": "iamrogerchen/exercise-machine-learning-competitions", "kernel_id": "19601441"}, {"ref": "swastikmohanty845/exercise-model-validation", "kernel_id": "19535310"}, {"ref": "swastikmohanty845/exercise-underfitting-and-overfitting", "kernel_id": "19535426"}, {"ref": "swastikmohanty845/exercise-your-first-machine-learning-model", "kernel_id": "19535161"}, {"ref": "swastikmohanty845/exercise-random-forests", "kernel_id": "19574687"}, {"ref": "swastikmohanty845/exercise-machine-learning-competitions", "kernel_id": "19575203"}, {"ref": "swastikmohanty845/exercise-introduction", "kernel_id": "19637205"}, {"ref": "swastikmohanty845/exercise-categorical-variables", "kernel_id": "19951521"}, {"ref": "swastikmohanty845/exercise-missing-values", "kernel_id": "19950906"}, {"ref": "swastikmohanty845/exercise-pipelines", "kernel_id": "19951673"}, {"ref": "swastikmohanty845/exercise-cross-validation", "kernel_id": "19951798"}, {"ref": "swastikmohanty845/exercise-xgboost", "kernel_id": "19951887"}, {"ref": "swastikmohanty845/exercise-data-leakage", "kernel_id": "19951986"}, {"ref": "anuragjain20/exercise-categorical-variables", "kernel_id": "19706584"}, {"ref": "gaurisharma2000/exercise-model-validation", "kernel_id": "19699301"}, {"ref": "gaurisharma2000/exercise-your-first-machine-learning-model", "kernel_id": "19506343"}, {"ref": "gaurisharma2000/exercise-underfitting-and-overfitting", "kernel_id": "19805593"}, {"ref": "gaurisharma2000/exercise-random-forests", "kernel_id": "19806158"}, {"ref": "gaurisharma2000/exercise-machine-learning-competitions", "kernel_id": "19806757"}, {"ref": "greatezekiel/exercise-pipelines", "kernel_id": "19827369"}, {"ref": "greatezekiel/exercise-categorical-variables", "kernel_id": "19824660"}, {"ref": "greatezekiel/exercise-xgboost", "kernel_id": "19852329"}, {"ref": "greatezekiel/exercise-data-leakage", "kernel_id": "19916461"}, {"ref": "greatezekiel/exercise-model-validation", "kernel_id": "19752821"}, {"ref": "greatezekiel/exercise-your-first-machine-learning-model", "kernel_id": "19751621"}, {"ref": "priscillabaah/exercise-your-first-machine-learning-model", "kernel_id": "19584975"}, {"ref": "yaminiharikrishnan/exercise-data-leakage", "kernel_id": "19796243"}, {"ref": "yaminiharikrishnan/exercise-introduction", "kernel_id": "19725221"}, {"ref": "yaminiharikrishnan/exercise-missing-values", "kernel_id": "19731220"}, {"ref": "yaminiharikrishnan/exercise-categorical-variables", "kernel_id": "19749872"}, {"ref": "yaminiharikrishnan/exercise-pipelines", "kernel_id": "19765423"}, {"ref": "yaminiharikrishnan/exercise-cross-validation", "kernel_id": "19768236"}, {"ref": "yaminiharikrishnan/exercise-xgboost", "kernel_id": "19769943"}, {"ref": "yaminiharikrishnan/exercise-machine-learning-competitions", "kernel_id": "19579690"}, {"ref": "vikankshgautam/introduction-python", "kernel_id": "19018930"}, {"ref": "shivijaiswal/exercise-machine-learning-competitions", "kernel_id": "19498354"}, {"ref": "shilpabadge/exercise-xgboost", "kernel_id": "19748018"}, {"ref": "shilpabadge/exercise-data-leakage", "kernel_id": "19748841"}, {"ref": "shilpabadge/exercise-cross-validation", "kernel_id": "19655331"}, {"ref": "shilpabadge/exercise-pipelines", "kernel_id": "19653330"}, {"ref": "shilpabadge/exercise-random-forests", "kernel_id": "19588089"}, {"ref": "shilpabadge/exercise-underfitting-and-overfitting", "kernel_id": "19543897"}, {"ref": "shilpabadge/exercise-model-validation", "kernel_id": "19462754"}, {"ref": "shilpabadge/exercise-your-first-machine-learning-model", "kernel_id": "19445909"}, {"ref": "shilpabadge/eda-house-price", "kernel_id": "19981777"}, {"ref": "rafu01/exercise-model-validation", "kernel_id": "19421861"}, {"ref": "usmanayaz/exercise-machine-learning-competitions", "kernel_id": "19640164"}, {"ref": "anshita22/exercise-your-first-machine-learning-model", "kernel_id": "19650105"}, {"ref": "anshita22/exercise-underfitting-and-overfitting", "kernel_id": "19659674"}, {"ref": "anshita22/exercise-model-validation", "kernel_id": "19658196"}, {"ref": "anshita22/exercise-random-forests", "kernel_id": "19663860"}, {"ref": "sreyareddy15/exercise-model-validation", "kernel_id": "19812330"}, {"ref": "sreyareddy15/exercise-random-forests", "kernel_id": "19812674"}, {"ref": "sreyareddy15/exercise-machine-learning-competitions", "kernel_id": "19812793"}, {"ref": "sreyareddy15/exercise-your-first-machine-learning-model", "kernel_id": "19812059"}, {"ref": "sreyareddy15/exercise-categorical-variables", "kernel_id": "19813600"}, {"ref": "sreyareddy15/exercise-underfitting-and-overfitting", "kernel_id": "19812496"}, {"ref": "sreyareddy15/exercise-cross-validation", "kernel_id": "19813981"}, {"ref": "sreyareddy15/exercise-xgboost", "kernel_id": "19814106"}, {"ref": "sreyareddy15/exercise-pipelines", "kernel_id": "19813861"}, {"ref": "tanviralamroni/exercise-missing-values", "kernel_id": "19746436"}, {"ref": "tanviralamroni/exercise-introduction", "kernel_id": "19736618"}, {"ref": "tanviralamroni/exercise-pipelines", "kernel_id": "19844154"}, {"ref": "abdelrahmankhalil/exercise-pipelines", "kernel_id": "19510504"}, {"ref": "abdelrahmankhalil/exercise-random-forests", "kernel_id": "19316594"}, {"ref": "abdelrahmankhalil/exercise-xgboost", "kernel_id": "19868405"}, {"ref": "zhixx018/exercise-pipelines", "kernel_id": "19690266"}, {"ref": "zhixx018/exercise-missing-values", "kernel_id": "19661485"}, {"ref": "likithvp/exercise-your-first-machine-learning-model", "kernel_id": "19529429"}, {"ref": "likithvp/exercise-model-validation", "kernel_id": "19530465"}, {"ref": "likithvp/exercise-missing-values", "kernel_id": "19849941"}, {"ref": "likithvp/exercise-underfitting-and-overfitting", "kernel_id": "19815579"}, {"ref": "likithvp/exercise-introduction", "kernel_id": "19816549"}, {"ref": "likithvp/exercise-random-forests", "kernel_id": "19816180"}, {"ref": "likithvp/exercise-machine-learning-competitions", "kernel_id": "19816252"}, {"ref": "premsaka/notebook8d88389b5f", "kernel_id": "19784325"}, {"ref": "bhanudeepak/exercise-xgboost", "kernel_id": "19661713"}, {"ref": "bhanudeepak/exercise-cross-validation", "kernel_id": "19660753"}, {"ref": "bhanudeepak/exercise-data-leakage", "kernel_id": "19662513"}, {"ref": "immanuelsamuel/exercise-cross-validation", "kernel_id": "19738795"}, {"ref": "immanuelsamuel/exercise-pipelines", "kernel_id": "19733135"}, {"ref": "immanuelsamuel/exercise-xgboost", "kernel_id": "19744993"}, {"ref": "immanuelsamuel/exercise-random-forests", "kernel_id": "19551415"}, {"ref": "immanuelsamuel/exercise-data-leakage", "kernel_id": "19790421"}, {"ref": "jayvadgama/exercise-your-first-machine-learning-model", "kernel_id": "19497146"}, {"ref": "satyabrataroy/simple-house-price-prediction-model-30-days-ml", "kernel_id": "19989162"}, {"ref": "xaviernuelgavald/exercise-xgboost", "kernel_id": "19834880"}, {"ref": "yashashwinidixit/exercise-your-first-machine-learning-model", "kernel_id": "19722855"}, {"ref": "yashashwinidixit/exercise-data-leakage", "kernel_id": "19916305"}, {"ref": "yashashwinidixit/exercise-xgboost", "kernel_id": "19915898"}, {"ref": "yashashwinidixit/exercise-categorical-variables", "kernel_id": "19913681"}, {"ref": "yashashwinidixit/exercise-pipelines", "kernel_id": "19914559"}, {"ref": "yashashwinidixit/exercise-cross-validation", "kernel_id": "19915172"}, {"ref": "yashashwinidixit/exercise-random-forests", "kernel_id": "19904859"}, {"ref": "yashashwinidixit/exercise-machine-learning-competitions", "kernel_id": "19905026"}, {"ref": "yashashwinidixit/exercise-missing-values", "kernel_id": "19910706"}, {"ref": "yashashwinidixit/exercise-introduction", "kernel_id": "19908482"}, {"ref": "yashashwinidixit/exercise-underfitting-and-overfitting", "kernel_id": "19887751"}, {"ref": "yashashwinidixit/exercise-model-validation", "kernel_id": "19887280"}, {"ref": "gopikasrir/day-14", "kernel_id": "19737780"}, {"ref": "gopikasrir/day-13-2", "kernel_id": "19736665"}, {"ref": "gopikasrir/day-13", "kernel_id": "19735961"}, {"ref": "gopikasrir/day-12-missing-values", "kernel_id": "19650911"}, {"ref": "gopikasrir/day-12", "kernel_id": "19650776"}, {"ref": "gopikasrir/day-11", "kernel_id": "19595830"}, {"ref": "gopikasrir/day-10", "kernel_id": "19563187"}, {"ref": "gopikasrir/day-10-2", "kernel_id": "19563309"}, {"ref": "gopikasrir/day-9-2", "kernel_id": "19499803"}, {"ref": "gopikasrir/day-9", "kernel_id": "19499647"}, {"ref": "santhiyar/houseprice-prediction", "kernel_id": "19606737"}, {"ref": "santhiyar/houseprice-prediction-1", "kernel_id": "19649117"}, {"ref": "ayashabbar/exercise-model-validation", "kernel_id": "19672219"}, {"ref": "ayashabbar/exercise-first-machine-learning-model", "kernel_id": "19671846"}, {"ref": "arkanivasarkar/exercise-categorical-variables", "kernel_id": "19708045"}, {"ref": "tabriznagiyev/exercise-missing-values", "kernel_id": "19413843"}, {"ref": "tabriznagiyev/exercise-introduction", "kernel_id": "19397888"}, {"ref": "emanuelemessori/housing-prices-automl", "kernel_id": "19976174"}, {"ref": "dilshansandhu/exercise-machine-learning-competitions", "kernel_id": "19577320"}, {"ref": "guyfromgrave/exercise-random-forests", "kernel_id": "19567273"}, {"ref": "centli/exercise-machine-learning-competitions", "kernel_id": "19587484"}, {"ref": "centli/exercise-introduction", "kernel_id": "19771660"}, {"ref": "centli/exercise-missing-values", "kernel_id": "19774326"}, {"ref": "centli/exercise-pipelines", "kernel_id": "19881246"}, {"ref": "jeonghojae/exercise-pipelines", "kernel_id": "19684702"}, {"ref": "jeonghojae/exercise-cross-validation", "kernel_id": "19684709"}, {"ref": "jeonghojae/exercise-xgboost", "kernel_id": "19742067"}, {"ref": "jeonghojae/exercise-data-leakage", "kernel_id": "19742070"}, {"ref": "jeonghojae/exercise-machine-learning-competitions", "kernel_id": "19606728"}, {"ref": "jeonghojae/exercise-introduction", "kernel_id": "19635495"}, {"ref": "jeonghojae/exercise-missing-values", "kernel_id": "19635499"}, {"ref": "jeonghojae/exercise-categorical-variables", "kernel_id": "19635502"}, {"ref": "jeonghojae/exercise-underfitting-and-overfitting", "kernel_id": "19563713"}, {"ref": "jeonghojae/exercise-random-forests", "kernel_id": "19563717"}, {"ref": "riyadmorshedshoeb/eda-training-testing", "kernel_id": "19987050"}, {"ref": "selvadharani/day-15", "kernel_id": "19780217"}, {"ref": "siddheshtambe/exercise-your-first-machine-learning-model", "kernel_id": "19452988"}, {"ref": "siddheshtambe/exercise-random-forests", "kernel_id": "19514347"}, {"ref": "siddheshtambe/exercise-underfitting-and-overfitting", "kernel_id": "19513765"}, {"ref": "siddheshtambe/exercise-model-validation", "kernel_id": "19510703"}, {"ref": "siddheshtambe/exercise-missing-values", "kernel_id": "19653979"}, {"ref": "siddheshtambe/exercise-categorical-variables", "kernel_id": "19653984"}, {"ref": "siddheshtambe/exercise-xgboost", "kernel_id": "19864830"}, {"ref": "siddheshtambe/exercise-cross-validation", "kernel_id": "19864093"}, {"ref": "siddheshtambe/exercise-data-leakage", "kernel_id": "19865244"}, {"ref": "sidrahabdullah/exercise-cross-validation", "kernel_id": "19661786"}, {"ref": "sidrahabdullah/exercise-xgboost", "kernel_id": "19978074"}, {"ref": "anikatechaurasia/exercise-pipelines", "kernel_id": "19860015"}, {"ref": "sunsesh/exercise-data-leakage", "kernel_id": "19738062"}, {"ref": "sunsesh/exercise-missing-values", "kernel_id": "19731250"}, {"ref": "sunsesh/exercise-introduction", "kernel_id": "19661270"}, {"ref": "sunsesh/exercise-model-validation", "kernel_id": "19507940"}, {"ref": "sunsesh/exercise-random-forests", "kernel_id": "19573542"}, {"ref": "sunsesh/exercise-underfitting-and-overfitting", "kernel_id": "19571999"}, {"ref": "bijayamanandhar/notebook9dfa39541e", "kernel_id": "19773843"}, {"ref": "bijayamanandhar/exercise-categorical-variables-ee3a5f", "kernel_id": "19898384"}, {"ref": "zahrajai/exercise-xgboost", "kernel_id": "19741055"}, {"ref": "ziadbennadji/notebook5f57e6a73d", "kernel_id": "19750548"}, {"ref": "karthiktraj/exercise-machine-learning-competitions", "kernel_id": "19839920"}, {"ref": "aniltyagi/exercise-machine-learning-competitions", "kernel_id": "19355454"}, {"ref": "ghoshrakhi/notebookb53a8f69f1", "kernel_id": "19974856"}, {"ref": "cshuttleworth/exercise-categorical-variables", "kernel_id": "19641748"}, {"ref": "rudolphflowersii/exercise-missing-values", "kernel_id": "19624370"}, {"ref": "danthb/exercise-your-first-machine-learning-model", "kernel_id": "19135936"}, {"ref": "ritusantra/exercise-pipelines", "kernel_id": "19653909"}, {"ref": "ritusantra/exercise-cross-validation", "kernel_id": "19655483"}, {"ref": "ritusantra/exercise-missing-values", "kernel_id": "19608703"}, {"ref": "ritusantra/exercise-introduction", "kernel_id": "19608191"}, {"ref": "ritusantra/exercise-categorical-variables", "kernel_id": "19612781"}, {"ref": "ritusantra/exercise-model-validation", "kernel_id": "19392172"}, {"ref": "ritusantra/exercise-your-first-machine-learning-model", "kernel_id": "19391407"}, {"ref": "ritusantra/exercise-machine-learning-competitions", "kernel_id": "19461899"}, {"ref": "ritusantra/exercise-random-forests", "kernel_id": "19461792"}, {"ref": "ritusantra/exercise-underfitting-and-overfitting", "kernel_id": "19460340"}, {"ref": "sitaraaghayeva/exercise-introduction", "kernel_id": "19671697"}, {"ref": "shivangikochrekar/housing-price-predictions", "kernel_id": "19616233"}, {"ref": "shivangikochrekar/exercise-missing-values", "kernel_id": "19711442"}, {"ref": "monika171/exercise-pipelines", "kernel_id": "19618751"}, {"ref": "monika171/exercise-cross-validation", "kernel_id": "19621663"}, {"ref": "monika171/exercise-categorical-variables", "kernel_id": "19605568"}, {"ref": "monika171/exercise-data-leakage", "kernel_id": "19654100"}, {"ref": "monika171/exercise-xgboost", "kernel_id": "19647364"}, {"ref": "monika171/exercise-missing-values", "kernel_id": "19539819"}, {"ref": "monika171/exercise-random-forests", "kernel_id": "19487008"}, {"ref": "monika171/exercise-underfitting-and-overfitting", "kernel_id": "19484768"}, {"ref": "habib16051/exercise-categorical-variables", "kernel_id": "19746084"}, {"ref": "habib16051/exercise-machine-learning-competitions", "kernel_id": "19594153"}, {"ref": "habib16051/exercise-random-forests", "kernel_id": "19593925"}, {"ref": "habib16051/exercise-underfitting-and-overfitting", "kernel_id": "19593103"}, {"ref": "habib16051/exercise-missing-values", "kernel_id": "19655234"}, {"ref": "habib16051/exercise-model-validation", "kernel_id": "19500851"}, {"ref": "habib16051/exercise-your-first-machine-learning-model", "kernel_id": "19474210"}, {"ref": "nathaliasutto/exercise-your-first-machine-learning-model", "kernel_id": "19576259"}, {"ref": "nathaliasutto/exercise-model-validation", "kernel_id": "19576328"}, {"ref": "nathaliasutto/exercise-underfitting-and-overfitting", "kernel_id": "19576405"}, {"ref": "nathaliasutto/exercise-random-forests", "kernel_id": "19576456"}, {"ref": "thbalaji/day-13", "kernel_id": "19799373"}, {"ref": "thbalaji/day-12and14", "kernel_id": "19701166"}, {"ref": "dhermendra/exercise-introduction", "kernel_id": "19957287"}, {"ref": "dhermendra/exercise-machine-learning-competitions", "kernel_id": "19956451"}, {"ref": "shubhamrana2460/exercise-machine-learning-competitions", "kernel_id": "19509997"}, {"ref": "victorpan9999/ml-note", "kernel_id": "19672094"}, {"ref": "hindhujav/exercise-model-validation", "kernel_id": "19494868"}, {"ref": "hindhujav/exercise-your-first-machine-learning-model", "kernel_id": "19494007"}, {"ref": "hindhujav/exercise-random-forests", "kernel_id": "19545359"}, {"ref": "hindhujav/exercise-underfitting-and-overfitting", "kernel_id": "19542717"}, {"ref": "hindhujav/exercise-machine-learning-competitions", "kernel_id": "19592095"}, {"ref": "hindhujav/exercise-introduction", "kernel_id": "19635453"}, {"ref": "hindhujav/exercise-missing-values", "kernel_id": "19635843"}, {"ref": "hindhujav/exercise-cross-validation", "kernel_id": "19675077"}, {"ref": "hindhujav/exercise-pipelines", "kernel_id": "19673852"}, {"ref": "hindhujav/exercise-xgboost", "kernel_id": "19725852"}, {"ref": "thuranaing411/exercise-missing-values", "kernel_id": "19505355"}, {"ref": "anandhuh/house-price-prediction-simple-solution-top-3", "kernel_id": "19869627"}, {"ref": "mecha027ankitsingh/top-1-get-started-with-regression", "kernel_id": "19815916"}, {"ref": "natashamugwe/exercise-categorical-variables", "kernel_id": "19739644"}, {"ref": "pranjaygupta/exercise-machine-learning-competitions", "kernel_id": "19482775"}, {"ref": "hiteshkumars/exercise-random-forests", "kernel_id": "19470050"}, {"ref": "hiteshkumars/exercise-underfitting-and-overfitting", "kernel_id": "19469784"}, {"ref": "hiteshkumars/exercise-machine-learning-competitions", "kernel_id": "19471061"}, {"ref": "pawankumar97/exercise-machine-learning-competitions", "kernel_id": "19563204"}, {"ref": "youssefmhussien/exercise-model-validation", "kernel_id": "19671661"}, {"ref": "youssefmhussien/exercise-your-first-machine-learning-model", "kernel_id": "19671433"}, {"ref": "youssefmhussien/exercise-underfitting-and-overfitting", "kernel_id": "19672182"}, {"ref": "youssefmhussien/exercise-machine-learning-competitions", "kernel_id": "19672871"}, {"ref": "linankaggle/exercise-underfitting-and-overfitting", "kernel_id": "19652478"}, {"ref": "bongsikjang/day13-exercise-pipelines", "kernel_id": "19687472"}, {"ref": "phamtheds/exercise-machine-learning-competitions", "kernel_id": "19747271"}, {"ref": "phamtheds/exercise-introduction", "kernel_id": "19960898"}, {"ref": "phamtheds/exercise-missing-values", "kernel_id": "19960899"}, {"ref": "phamtheds/exercise-categorical-variables", "kernel_id": "19960900"}, {"ref": "bhanujoshkakarla/exercise-machine-learning-competitions", "kernel_id": "19546750"}, {"ref": "alaatahaelmaria/exercise-machine-learning-competitions", "kernel_id": "19567913"}, {"ref": "alaatahaelmaria/exercise-underfitting-and-overfitting", "kernel_id": "19567733"}, {"ref": "alaatahaelmaria/exercise-model-validation", "kernel_id": "19567294"}, {"ref": "alaatahaelmaria/exercise-random-forests", "kernel_id": "19566824"}, {"ref": "alaatahaelmaria/exercise-your-first-machine-learning-model", "kernel_id": "19470167"}, {"ref": "rohmats/trying-pycaret", "kernel_id": "19664347"}, {"ref": "gonzalotejada/exercise-model-validation", "kernel_id": "19484348"}, {"ref": "gonzalotejada/exercise-random-forests", "kernel_id": "19576725"}, {"ref": "gonzalotejada/exercise-underfitting-and-overfitting", "kernel_id": "19485305"}, {"ref": "gonzalotejada/exercise-introduction", "kernel_id": "19624140"}, {"ref": "gonzalotejada/exercise-pipelines", "kernel_id": "19854056"}, {"ref": "gonzalotejada/exercise-cross-validation", "kernel_id": "19854500"}, {"ref": "gonzalotejada/exercise-xgboost", "kernel_id": "19855837"}, {"ref": "gonzalotejada/exercise-categorical-variables", "kernel_id": "19819203"}, {"ref": "akshayr009/exercise-data-leakage", "kernel_id": "19730164"}, {"ref": "akshayr009/exercise-pipelines", "kernel_id": "19678666"}, {"ref": "akshayr009/exercise-categorical-variables", "kernel_id": "19637841"}, {"ref": "akshayr009/price-prediation", "kernel_id": "19637069"}, {"ref": "milangabriel/exercise-machine-learning-competitions", "kernel_id": "19855731"}, {"ref": "ahmadabdelhafeez/exercise-data-leakage", "kernel_id": "19673064"}, {"ref": "nikhilgond/exercise-your-first-machine-learning-model-d8", "kernel_id": "19908282"}, {"ref": "nikhilgond/exercise-model-validation-d9", "kernel_id": "19932891"}, {"ref": "nikhilgond/exercise-underfitting-and-overfitting-d9", "kernel_id": "19935677"}, {"ref": "nikhilgond/exercise-random-forests-d10", "kernel_id": "19954151"}, {"ref": "nikhilgond/exercise-machine-learning-competitions-d11", "kernel_id": "19954412"}, {"ref": "nikhilgond/exercise-missing-values-d12", "kernel_id": "19975553"}, {"ref": "nikhilgond/exercise-introduction-d12", "kernel_id": "19973074"}, {"ref": "nikhilgond/exercise-categorical-variables-d12", "kernel_id": "19982629"}, {"ref": "utkaarshbhaskarwar/exercise-introduction", "kernel_id": "19644353"}, {"ref": "utkaarshbhaskarwar/exercise-missing-values", "kernel_id": "19644636"}, {"ref": "utkaarshbhaskarwar/exercise-categorical-variables", "kernel_id": "19644895"}, {"ref": "minaomobonike/exercise-cross-validation", "kernel_id": "19957322"}, {"ref": "nassimabousahba/exercise-machine-learning-competitions", "kernel_id": "19574623"}, {"ref": "nassimabousahba/exercise-your-first-machine-learning-model", "kernel_id": "19566682"}, {"ref": "nassimabousahba/exercise-model-validation", "kernel_id": "19566687"}, {"ref": "nassimabousahba/exercise-random-forests", "kernel_id": "19567843"}, {"ref": "nassimabousahba/exercise-underfitting-and-overfitting", "kernel_id": "19567883"}, {"ref": "nassimabousahba/exercise-data-leakage", "kernel_id": "19706979"}, {"ref": "nassimabousahba/exercise-xgboost", "kernel_id": "19706655"}, {"ref": "nassimabousahba/exercise-categorical-variables", "kernel_id": "19620795"}, {"ref": "nassimabousahba/exercise-missing-values", "kernel_id": "19619623"}, {"ref": "nassimabousahba/exercise-cross-validation", "kernel_id": "19661938"}, {"ref": "nassimabousahba/exercise-pipelines", "kernel_id": "19661665"}, {"ref": "hemantyadav1/exercise-categorical-variables", "kernel_id": "19645076"}, {"ref": "hemantyadav1/exercise-missing-values", "kernel_id": "19643471"}, {"ref": "hemantyadav1/exercise-introduction", "kernel_id": "19641837"}, {"ref": "hemantyadav1/exercise-machine-learning-competitions", "kernel_id": "19605836"}, {"ref": "hemantyadav1/exercise-cross-validation", "kernel_id": "19684294"}, {"ref": "hemantyadav1/exercise-pipelines", "kernel_id": "19681009"}, {"ref": "hemantyadav1/exercise-xgboost", "kernel_id": "19731606"}, {"ref": "hemantyadav1/exercise-data-leakage", "kernel_id": "19736228"}, {"ref": "hemantyadav1/exercise-underfitting-and-overfitting", "kernel_id": "19569379"}, {"ref": "hemantyadav1/exercise-random-forests", "kernel_id": "19570830"}, {"ref": "hemantyadav1/exercise-model-validation", "kernel_id": "19521668"}, {"ref": "hemantyadav1/exercise-your-first-machine-learning-model", "kernel_id": "19520573"}, {"ref": "risabhkedia/exercise-categorical-variables", "kernel_id": "19636620"}, {"ref": "reubenvinod/exercise-machine-learning-competitions", "kernel_id": "19769502"}, {"ref": "ridloww/exercise-machine-learning-competitions", "kernel_id": "19925658"}, {"ref": "subeshasasmal/exercise-machine-learning-competitions", "kernel_id": "19562126"}, {"ref": "subeshasasmal/exercise-pipelines", "kernel_id": "19799007"}, {"ref": "vijayraghuwanshi/exercise-your-first-machine-learning-model", "kernel_id": "19514150"}, {"ref": "amittuli/exercise-your-first-machine-learning-model", "kernel_id": "19515712"}, {"ref": "anirbansahaanik/exercise-pipelines", "kernel_id": "19902262"}, {"ref": "kdsharmaai/exercise-cross-validation", "kernel_id": "19416783"}, {"ref": "kdsharmaai/exercise-xgboost", "kernel_id": "19548195"}, {"ref": "kdsharmaai/exercise-pipelines", "kernel_id": "19179852"}, {"ref": "masabumair023/housing-prices-competition", "kernel_id": "19595516"}, {"ref": "masabumair023/housing-prices-competition-optimized", "kernel_id": "19680226"}, {"ref": "masabumair023/housing-prices-prediction-missing-values-handled", "kernel_id": "19683790"}, {"ref": "masabumair023/exercise-categorical-variables-day-12", "kernel_id": "19684009"}, {"ref": "masabumair023/exercise-cross-validation-day-13", "kernel_id": "19691040"}, {"ref": "masabumair023/housing-prices-prediction-pipelines", "kernel_id": "19689670"}, {"ref": "masabumair023/exercise-your-first-machine-learning-model-day9", "kernel_id": "19550372"}, {"ref": "masabumair023/exercise-underfitting-and-overfitting-day-10", "kernel_id": "19552369"}, {"ref": "masabumair023/exercise-model-validation-day-9", "kernel_id": "19551249"}, {"ref": "masabumair023/exercise-random-forests-day-10", "kernel_id": "19554235"}, {"ref": "masabumair023/exercise-data-leakage-day-14", "kernel_id": "19790564"}, {"ref": "masabumair023/exercise-xgboost-day-14", "kernel_id": "19789435"}, {"ref": "souravdasme/30-days-of-ml-day-10-random-forests-part-2", "kernel_id": "19652790"}, {"ref": "souravdasme/30-days-of-ml-day-10-underfitting-overfitting", "kernel_id": "19652252"}, {"ref": "souravdasme/30-days-of-ml-day-9-ml-model-part-1", "kernel_id": "19609136"}, {"ref": "souravdasme/30-days-of-ml-day-9-model-validation-part-2", "kernel_id": "19609942"}, {"ref": "diyanandy/exercise-machine-learning-competitions", "kernel_id": "19968489"}, {"ref": "srikanthrvp/exercise-data-leakage", "kernel_id": "19726686"}, {"ref": "fatihatalay/exercise-categorical-variables", "kernel_id": "19661496"}, {"ref": "trinetrajayakumar/exercise-machine-learning-competitions", "kernel_id": "19858968"}, {"ref": "trinetrajayakumar/exercise-missing-values", "kernel_id": "19893771"}, {"ref": "trinetrajayakumar/exercise-introduction", "kernel_id": "19892943"}, {"ref": "trinetrajayakumar/exercise-categorical-variables", "kernel_id": "19922028"}, {"ref": "trinetrajayakumar/exercise-pipelines", "kernel_id": "19924970"}, {"ref": "trinetrajayakumar/exercise-cross-validation", "kernel_id": "19925608"}, {"ref": "trinetrajayakumar/exercise-data-leakage", "kernel_id": "19971488"}, {"ref": "trinetrajayakumar/exercise-xgboost", "kernel_id": "19971276"}, {"ref": "anastasiyakrokhina1/exercise-machine-learning-competitions", "kernel_id": "19806848"}, {"ref": "dshassan/exercise-categorical-variables", "kernel_id": "19579859"}, {"ref": "dshassan/exercise-pipelines", "kernel_id": "19690085"}, {"ref": "dshassan/randomforestregressor-cross-validation", "kernel_id": "19703639"}, {"ref": "dshassan/xgboost-with-xgbregressor", "kernel_id": "19754004"}, {"ref": "xpalenik/exercise-cross-validation", "kernel_id": "19747023"}, {"ref": "manmohansinghbisht/exercise-machine-learning-competitions", "kernel_id": "19610593"}, {"ref": "manmohansinghbisht/exercise-missing-values", "kernel_id": "19631352"}, {"ref": "manmohansinghbisht/exercise-pipelines", "kernel_id": "19663048"}, {"ref": "manmohansinghbisht/exercise-xgboost", "kernel_id": "19685372"}, {"ref": "zhchia/exercise-introduction", "kernel_id": "19639477"}, {"ref": "zhchia/exercise-missing-values", "kernel_id": "19639747"}, {"ref": "zhchia/exercise-machine-learning-competitions", "kernel_id": "19602986"}, {"ref": "zhchia/exercise-random-forests", "kernel_id": "19602761"}, {"ref": "zhchia/exercise-underfitting-and-overfitting", "kernel_id": "19602450"}, {"ref": "zhchia/exercise-model-validation", "kernel_id": "19601789"}, {"ref": "zhchia/exercise-your-first-machine-learning-model", "kernel_id": "19601355"}, {"ref": "drbioinfovbr/exercise-missing-values", "kernel_id": "19672208"}, {"ref": "chykimtong/exercise-introduction", "kernel_id": "19613247"}, {"ref": "rakeshrane/exercise-machine-learning-competitions", "kernel_id": "19593945"}, {"ref": "rakeshrane/exercise-categorical-variables", "kernel_id": "19662775"}, {"ref": "rakeshrane/exercise-missing-values", "kernel_id": "19636457"}, {"ref": "rakeshrane/exercise-cross-validation", "kernel_id": "19680283"}, {"ref": "rakeshrane/exercise-pipelines", "kernel_id": "19679095"}, {"ref": "rakeshrane/exercise-xgboost", "kernel_id": "19736154"}, {"ref": "aminghias/exercise-your-first-machine-learning-model", "kernel_id": "19490739"}, {"ref": "aminghias/exercise-model-validation", "kernel_id": "19491255"}, {"ref": "aminghias/exercise-pipelines", "kernel_id": "19675009"}, {"ref": "aminghias/exercise-underfitting-and-overfitting", "kernel_id": "19662626"}, {"ref": "aminghias/exercise-random-forests", "kernel_id": "19664146"}, {"ref": "aminghias/exercise-machine-learning-competitions", "kernel_id": "19664222"}, {"ref": "aminghias/exercise-introduction", "kernel_id": "19666655"}, {"ref": "aminghias/exercise-categorical-variables", "kernel_id": "19671631"}, {"ref": "aminghias/exercise-missing-values", "kernel_id": "19671082"}, {"ref": "aminghias/exercise-xgboost", "kernel_id": "19868496"}, {"ref": "aminghias/exercise-cross-validation", "kernel_id": "19866054"}, {"ref": "aminghias/exercise-data-leakage", "kernel_id": "19869767"}, {"ref": "suniti0804/notebookc5086788bc", "kernel_id": "19521434"}, {"ref": "andreifomichev/exercise-underfitting-and-overfitting", "kernel_id": "19182007"}, {"ref": "hrithikpurwar/top-4-house-price-prediction-xgboostregressor", "kernel_id": "19704455"}, {"ref": "edwincaleb/exercise-machine-learning-competitions", "kernel_id": "19732689"}, {"ref": "anubhav202/housing-prices-competition", "kernel_id": "19576673"}, {"ref": "ranjithpanicker/house-price-prediction-top-300-in-leaderboard", "kernel_id": "19688664"}, {"ref": "javiervallejos/housing-prices-competition", "kernel_id": "19896159"}, {"ref": "nehal1920/exercise-machine-learning-competitions", "kernel_id": "19041214"}, {"ref": "yeohqiwei/exercise-machine-learning-competitions", "kernel_id": "19594185"}, {"ref": "yeohqiwei/exercise-missing-values", "kernel_id": "19688394"}, {"ref": "yeohqiwei/exercise-pipelines", "kernel_id": "19878445"}, {"ref": "naveensivakumar/exercise-introduction", "kernel_id": "19822511"}, {"ref": "satishkumar1966/exercise-your-first-machine-learning-model", "kernel_id": "19864879"}, {"ref": "satishkumar1966/exercise-random-forests", "kernel_id": "19872512"}, {"ref": "satishkumar1966/exercise-model-validation", "kernel_id": "19865844"}, {"ref": "satishkumar1966/exercise-underfitting-and-overfitting", "kernel_id": "19866561"}, {"ref": "satishkumar1966/exercise-missing-values", "kernel_id": "19878515"}, {"ref": "satishkumar1966/exercise-introduction", "kernel_id": "19877761"}, {"ref": "satishkumar1966/exercise-categorical-variables", "kernel_id": "19881127"}, {"ref": "satishkumar1966/exercise-data-leakage", "kernel_id": "19882726"}, {"ref": "satishkumar1966/exercise-xgboost", "kernel_id": "19882546"}, {"ref": "satishkumar1966/exercise-cross-validation", "kernel_id": "19882200"}, {"ref": "tubasiddiqui/exercise-introduction", "kernel_id": "19698452"}, {"ref": "jayagupta31/exercise-cross-validation", "kernel_id": "19839778"}, {"ref": "jayagupta31/exercise-categorical-variables", "kernel_id": "19838262"}, {"ref": "jayagupta31/exercise-xgboost", "kernel_id": "19840333"}, {"ref": "jayagupta31/exercise-your-first-machine-learning-model", "kernel_id": "19794138"}, {"ref": "jayagupta31/exercise-underfitting-and-overfitting", "kernel_id": "19812256"}, {"ref": "asadithiyaa/exercise-random-forests", "kernel_id": "19559239"}, {"ref": "asadithiyaa/exercise-underfitting-and-overfitting", "kernel_id": "19555120"}, {"ref": "asadithiyaa/exercise-your-first-machine-learning-model", "kernel_id": "19509065"}, {"ref": "asadithiyaa/exercise-model-validation", "kernel_id": "19513543"}, {"ref": "asadithiyaa/exercise-introduction", "kernel_id": "19643828"}, {"ref": "asadithiyaa/exercise-machine-learning-competitions", "kernel_id": "19595639"}, {"ref": "architam/exercise-machine-learning-competitions", "kernel_id": "19595075"}, {"ref": "enasalkamachy/exercise-model-validation", "kernel_id": "19501213"}, {"ref": "amnaalishaheen/exercise-introduction", "kernel_id": "19903882"}, {"ref": "amnaalishaheen/exercise-xgboost", "kernel_id": "19873390"}, {"ref": "amnaalishaheen/exercise-missing-values", "kernel_id": "19902565"}, {"ref": "amnaalishaheen/exercise-categorical-variables", "kernel_id": "19901986"}, {"ref": "amnaalishaheen/exercise-data-leakage", "kernel_id": "19901093"}, {"ref": "amnaalishaheen/exercise-cross-validation", "kernel_id": "19826224"}, {"ref": "amnaalishaheen/exercise-pipelines", "kernel_id": "19825635"}, {"ref": "amnaalishaheen/exercise-random-forests", "kernel_id": "19645297"}, {"ref": "amnaalishaheen/exercise-underfitting-and-overfitting", "kernel_id": "19644559"}, {"ref": "amnaalishaheen/exercise-model-validation", "kernel_id": "19601218"}, {"ref": "amnaalishaheen/exercise-your-first-machine-learning-model", "kernel_id": "19600487"}, {"ref": "pollyanagouveia/exercise-pipelines", "kernel_id": "19961138"}, {"ref": "raj401/simple-baseline", "kernel_id": "19909446"}, {"ref": "ishikakesarwani/exercise-your-first-machine-learning-model", "kernel_id": "19526804"}, {"ref": "ishikakesarwani/exercise-underfitting-and-overfitting", "kernel_id": "19565789"}, {"ref": "ishikakesarwani/exercise-random-forests", "kernel_id": "19565795"}, {"ref": "ishikakesarwani/exercise-model-validation", "kernel_id": "19563510"}, {"ref": "ishikakesarwani/home-data-random-forest", "kernel_id": "19590918"}, {"ref": "ishikakesarwani/exercise-categorical-variables", "kernel_id": "19655454"}, {"ref": "ishikakesarwani/exercise-missing-values", "kernel_id": "19750397"}, {"ref": "ishikakesarwani/exercise-cross-validation", "kernel_id": "19788228"}, {"ref": "ishikakesarwani/exercise-xgboost", "kernel_id": "19789875"}, {"ref": "sagarks1/exercise-machine-learning-competitions", "kernel_id": "19594573"}, {"ref": "sagarks1/exercise-your-first-machine-learning-model", "kernel_id": "19494688"}, {"ref": "sagarks1/exercise-model-validation", "kernel_id": "19495813"}, {"ref": "sagarks1/exercise-underfitting-and-overfitting", "kernel_id": "19546267"}, {"ref": "sagarks1/exercise-random-forests", "kernel_id": "19546882"}, {"ref": "surayasumona/housing-prices-prediction", "kernel_id": "19696647"}, {"ref": "mohwali/exercise-introduction", "kernel_id": "19615804"}, {"ref": "abdulazeezoj/exercise-model-validation", "kernel_id": "19780419"}, {"ref": "abdulazeezoj/exercise-underfitting-and-overfitting", "kernel_id": "19780737"}, {"ref": "abdulazeezoj/exercise-your-first-machine-learning-model", "kernel_id": "19779695"}, {"ref": "abdulazeezoj/exercise-introduction", "kernel_id": "19781297"}, {"ref": "abdulazeezoj/exercise-random-forests", "kernel_id": "19781345"}, {"ref": "abdulazeezoj/exercise-introduction-30651b", "kernel_id": "19991240"}, {"ref": "mhrecaldeb/exercise-categorical-variables", "kernel_id": "19517574"}, {"ref": "sumayyakamal/housingprices", "kernel_id": "19784405"}, {"ref": "terencewhalen/exercise-your-first-machine-learning-model", "kernel_id": "19054153"}, {"ref": "vamsiakula2/exercise-categorical-variables", "kernel_id": "19903082"}, {"ref": "sagar5suman/categorical-variables", "kernel_id": "19704809"}, {"ref": "sagar5suman/missing-values", "kernel_id": "19702975"}, {"ref": "amrutak050505/exercise-missing-values", "kernel_id": "19990064"}, {"ref": "amrutak050505/exercise-introduction", "kernel_id": "19989740"}, {"ref": "madhupandey/xgboost", "kernel_id": "19703430"}, {"ref": "jillanisofttech/exercise-missing-values", "kernel_id": "19754724"}, {"ref": "jillanisofttech/exercise-xgboost", "kernel_id": "19707026"}, {"ref": "hanamagdymohamed/exercise-your-first-machine-learning-model", "kernel_id": "19355967"}, {"ref": "hanamagdymohamed/exercise-model-validation", "kernel_id": "19357428"}, {"ref": "hanamagdymohamed/exercise-random-forests", "kernel_id": "19604704"}, {"ref": "hanamagdymohamed/home-price-prediction", "kernel_id": "19604883"}, {"ref": "hanamagdymohamed/exercise-underfitting-and-overfitting", "kernel_id": "19603952"}, {"ref": "thamilg/missing-values", "kernel_id": "19487001"}, {"ref": "zainabkapasi/exercise-pipelines", "kernel_id": "19965622"}, {"ref": "zainabkapasi/exercise-introduction", "kernel_id": "19960176"}, {"ref": "zainabkapasi/exercise-missing-values", "kernel_id": "19961992"}, {"ref": "zainabkapasi/exercise-your-first-machine-learning-model", "kernel_id": "19534616"}, {"ref": "davidastrel/exercise-machine-learning-competitions", "kernel_id": "19433936"}, {"ref": "gokulakrishnans2002/exercise-xgboost", "kernel_id": "19750426"}, {"ref": "gokulakrishnans2002/exercise-data-leakage", "kernel_id": "19750980"}, {"ref": "poojasharma1301/exercise-machine-learning-competitions", "kernel_id": "19479940"}, {"ref": "randomperson06/top-1-kaggle-house-price-competition-solution", "kernel_id": "19844622"}, {"ref": "fadi77/exercise-introduction", "kernel_id": "19518091"}, {"ref": "hritaban02/exercise-model-validation", "kernel_id": "19356910"}, {"ref": "hritaban02/exercise-your-first-machine-learning-model", "kernel_id": "19355246"}, {"ref": "hritaban02/exercise-underfitting-and-overfitting", "kernel_id": "19362800"}, {"ref": "hritaban02/exercise-machine-learning-competitions", "kernel_id": "19364967"}, {"ref": "hritaban02/exercise-random-forests", "kernel_id": "19364684"}, {"ref": "hritaban02/exercise-introduction", "kernel_id": "19410047"}, {"ref": "hritaban02/exercise-missing-values", "kernel_id": "19413191"}, {"ref": "hritaban02/exercise-categorical-variables", "kernel_id": "19416646"}, {"ref": "hritaban02/exercise-pipelines", "kernel_id": "19462189"}, {"ref": "hritaban02/exercise-data-leakage", "kernel_id": "19474036"}, {"ref": "hritaban02/exercise-xgboost", "kernel_id": "19472068"}, {"ref": "hritaban02/exercise-cross-validation", "kernel_id": "19463482"}, {"ref": "ravichauhan7/exercise-introduction", "kernel_id": "19621853"}, {"ref": "ravichauhan7/exercise-missing-values", "kernel_id": "19624102"}, {"ref": "aarush2410/exercise-categorical-variables", "kernel_id": "19620863"}, {"ref": "aarush2410/exercise-missing-values", "kernel_id": "19619099"}, {"ref": "aarush2410/exercise-pipelines", "kernel_id": "19671296"}, {"ref": "aniketsatapathy/exercise-data-leakage", "kernel_id": "19704778"}, {"ref": "aniketsatapathy/exercise-xgboost", "kernel_id": "19704001"}, {"ref": "aniketsatapathy/exercise-cross-validation", "kernel_id": "19663704"}, {"ref": "aniketsatapathy/exercise-pipelines", "kernel_id": "19663449"}, {"ref": "aniketsatapathy/exercise-introduction", "kernel_id": "19619372"}, {"ref": "aniketsatapathy/exercise-missing-values", "kernel_id": "19619383"}, {"ref": "aniketsatapathy/exercise-categorical-variables", "kernel_id": "19619386"}, {"ref": "aniketsatapathy/exercise-your-first-machine-learning-model", "kernel_id": "19473284"}, {"ref": "aniketsatapathy/exercise-model-validation", "kernel_id": "19473324"}, {"ref": "aniketsatapathy/exercise-machine-learning-competitions", "kernel_id": "19573082"}, {"ref": "aniketsatapathy/exercise-underfitting-and-overfitting", "kernel_id": "19526909"}, {"ref": "aniketsatapathy/exercise-random-forests", "kernel_id": "19527332"}, {"ref": "sherifelhabyan/house-prices-prediction-pipeline", "kernel_id": "19605319"}, {"ref": "conucp3/exercise-machine-learning-competitions", "kernel_id": "19713939"}, {"ref": "davidclavijosuarez/exercise-data-leakage", "kernel_id": "19770497"}, {"ref": "davidclavijosuarez/exercise-xgboost", "kernel_id": "19768647"}, {"ref": "davidclavijosuarez/exercise-random-forests", "kernel_id": "19539735"}, {"ref": "cpluzshrijayan/exercise-model-validation", "kernel_id": "19352682"}, {"ref": "cpluzshrijayan/exercise-underfitting-and-overfitting", "kernel_id": "19359385"}, {"ref": "cpluzshrijayan/exercise-your-first-machine-learning-model", "kernel_id": "19348319"}, {"ref": "cpluzshrijayan/exercise-random-forests", "kernel_id": "19389907"}, {"ref": "basakgo/house-pricing", "kernel_id": "19701280"}, {"ref": "natasyafj/exercise-random-forests", "kernel_id": "19204816"}, {"ref": "surajkalunge/exercise-machine-learning-competitions", "kernel_id": "19701474"}, {"ref": "vishalsonawane1811/exercise-missing-values", "kernel_id": "19648244"}, {"ref": "vishalsonawane1811/exercise-pipelines", "kernel_id": "19791236"}, {"ref": "bhavikjadav/exercise-model-validation", "kernel_id": "19843509"}, {"ref": "bhavikjadav/exercise-your-first-machine-learning-model", "kernel_id": "19842297"}, {"ref": "bhavikjadav/exercise-random-forests", "kernel_id": "19891976"}, {"ref": "bhavikjadav/exercise-machine-learning-competitions", "kernel_id": "19892050"}, {"ref": "nithiyashree13/exercise-machine-learning-competitions", "kernel_id": "19637989"}, {"ref": "nithiyashree13/exercise-cross-validation", "kernel_id": "19989996"}, {"ref": "nithiyashree13/exercise-pipelines", "kernel_id": "19988336"}, {"ref": "mimisr/exercise-random-forests", "kernel_id": "19405779"}, {"ref": "sondosomar/exercise-machine-learning-competitions", "kernel_id": "19610372"}, {"ref": "sondosomar/exercise-introduction", "kernel_id": "19741427"}, {"ref": "sanyukta18/exercise-machine-learning-competitions", "kernel_id": "19593313"}, {"ref": "sanyukta18/exercise-missing-values", "kernel_id": "19660973"}, {"ref": "sanyukta18/exercise-xgboost", "kernel_id": "19870756"}, {"ref": "sanyukta18/exercise-pipelines", "kernel_id": "19781520"}, {"ref": "ahmednassereltabakh/exercise-machine-learning-competitions-4022cc", "kernel_id": "19465802"}, {"ref": "badarjamal/exercise-missing-values", "kernel_id": "19821267"}, {"ref": "andrewyeehinchan/exercise-categorical-variables", "kernel_id": "19537781"}, {"ref": "norptms/day-12-exercise-categorical-variables", "kernel_id": "19638829"}, {"ref": "norptms/day-12-exercise-missing-values", "kernel_id": "19638274"}, {"ref": "norptms/day-11-exercise-machine-learning-competitions", "kernel_id": "19636051"}, {"ref": "norptms/day-13-exercise-cross-validation", "kernel_id": "19688163"}, {"ref": "norptms/day-13-exercise-pipelines", "kernel_id": "19687361"}, {"ref": "norptms/day-14-exercise-xgboost", "kernel_id": "19724515"}, {"ref": "norptms/day-14-exercise-data-leakage", "kernel_id": "19725011"}, {"ref": "norptms/day-10-exercise-underfitting-and-overfitting", "kernel_id": "19568050"}, {"ref": "norptms/day-10-exercise-random-forests", "kernel_id": "19568333"}, {"ref": "norptms/day-9-exercise-your-first-machine-learning-model", "kernel_id": "19495637"}, {"ref": "norptms/day-9-exercise-model-validation", "kernel_id": "19496196"}, {"ref": "khairy84/exercise-data-leakage", "kernel_id": "19831101"}, {"ref": "khairy84/exercise-xgboost", "kernel_id": "19827946"}, {"ref": "khairy84/exercise-cross-validation", "kernel_id": "19804878"}, {"ref": "khairy84/exercise-categorical-variables", "kernel_id": "19792918"}, {"ref": "khairy84/exercise-pipelines", "kernel_id": "19796122"}, {"ref": "khairy84/exercise-missing-values", "kernel_id": "19785975"}, {"ref": "khairy84/exercise-introduction", "kernel_id": "19735933"}, {"ref": "khairy84/exercise-model-validation", "kernel_id": "19307029"}, {"ref": "khairy84/exercise-your-first-machine-learning-model", "kernel_id": "19305554"}, {"ref": "khairy84/exercise-underfitting-and-overfitting", "kernel_id": "19308949"}, {"ref": "khairy84/exercise-machine-learning-competitions", "kernel_id": "19310655"}, {"ref": "khairy84/exercise-random-forests", "kernel_id": "19310452"}, {"ref": "raushan9jnv/exercise-machine-learning-competitions", "kernel_id": "19752459"}, {"ref": "raushan9jnv/exercise-missing-values", "kernel_id": "19780240"}, {"ref": "raushan9jnv/exercise-introduction", "kernel_id": "19777073"}, {"ref": "raushan9jnv/exercise-categorical-variables", "kernel_id": "19791072"}, {"ref": "raushan9jnv/exercise-pipelines", "kernel_id": "19795398"}, {"ref": "raselmeya/exercise-cross-validation", "kernel_id": "19751442"}, {"ref": "sivakrishnabadri/exercise-data-leakage", "kernel_id": "19748883"}, {"ref": "sivakrishnabadri/exercise-xgboost", "kernel_id": "19739681"}, {"ref": "sivakrishnabadri/exercise-categorical-variables", "kernel_id": "19683454"}, {"ref": "sivakrishnabadri/exercise-cross-validation", "kernel_id": "19714716"}, {"ref": "sivakrishnabadri/exercise-underfitting-and-overfitting", "kernel_id": "19570589"}, {"ref": "sivakrishnabadri/exercise-random-forests", "kernel_id": "19572380"}, {"ref": "sivakrishnabadri/exercise-your-first-machine-learning-model", "kernel_id": "19490918"}, {"ref": "sivakrishnabadri/exercise-model-validation", "kernel_id": "19491456"}, {"ref": "hayeonkimm/categorical-variables", "kernel_id": "19010534"}, {"ref": "hayeonkimm/answer-for-beginner-categorical-variables", "kernel_id": "19010560"}, {"ref": "abdelrahmanrezk7/exercise-machine-learning-competitions", "kernel_id": "19610733"}, {"ref": "abdelrahmanrezk7/exercise-introduction", "kernel_id": "19622392"}, {"ref": "abdelrahmanrezk7/exercise-categorical-variables", "kernel_id": "19625532"}, {"ref": "abdelrahmanrezk7/exercise-pipelines", "kernel_id": "19765139"}, {"ref": "rajdeepmajumder/notebook14fe6203e3", "kernel_id": "19956874"}, {"ref": "hrdkcodes/exercise-machine-learning-competitions", "kernel_id": "19838819"}, {"ref": "mannamakhil/exercise-your-first-machine-learning-model", "kernel_id": "19561391"}, {"ref": "ahmednabin47/data-leakage", "kernel_id": "19963169"}, {"ref": "swayamsingh/melbourne-predicting-nan-values-using-ensembles", "kernel_id": "19257034"}, {"ref": "kdnitish1517/exercise-model-validation", "kernel_id": "19518803"}, {"ref": "kdnitish1517/exercise-your-first-machine-learning-model", "kernel_id": "19432538"}, {"ref": "harshavardhanaas/exercise-pipelines", "kernel_id": "19833743"}, {"ref": "syedshakerhussaini/exercise-underfitting-and-overfitting", "kernel_id": "19653511"}, {"ref": "syedshakerhussaini/exercise-model-validation", "kernel_id": "19652838"}, {"ref": "syedshakerhussaini/exercise-your-first-machine-learning-model", "kernel_id": "19652356"}, {"ref": "yedmavus/exercise-pipelines", "kernel_id": "19746328"}, {"ref": "devraikwar/exercise-your-first-machine-learning-model", "kernel_id": "19524645"}, {"ref": "devraikwar/exercise-model-validation", "kernel_id": "19526947"}, {"ref": "devraikwar/exercise-machine-learning-competitions", "kernel_id": "19575109"}, {"ref": "kachalisarma20/exercise-random-forests", "kernel_id": "19649834"}, {"ref": "kachalisarma20/exercise-your-first-machine-learning-model", "kernel_id": "19505719"}, {"ref": "kachalisarma20/house-price-prediction", "kernel_id": "19844423"}, {"ref": "tahirrashidhakeem/exercise-your-first-machine-learning-model", "kernel_id": "19415612"}, {"ref": "aswathikallinkeel/exercise-model-validation", "kernel_id": "19232623"}, {"ref": "aswathikallinkeel/exercise-your-first-machine-learning-model", "kernel_id": "19224299"}, {"ref": "kalaiarasansenthil/exercise-underfitting-and-overfitting", "kernel_id": "19541146"}, {"ref": "kalaiarasansenthil/exercise-random-forests", "kernel_id": "19541334"}, {"ref": "kalaiarasansenthil/exercise-model-validation", "kernel_id": "19497955"}, {"ref": "kalaiarasansenthil/exercise-your-first-machine-learning-model", "kernel_id": "19496759"}, {"ref": "kokeyehya/exercise-machine-learning-competitions", "kernel_id": "19821722"}, {"ref": "bhagwanbansal/exercise-missing-values", "kernel_id": "19572470"}, {"ref": "ruslangataullin/exercise-machine-learning-competitions", "kernel_id": "19116919"}, {"ref": "sfwatanabe/exercise-machine-learning-competitions", "kernel_id": "19589796"}, {"ref": "drradheyshyam/exercise-cross-validation", "kernel_id": "19835944"}, {"ref": "damodarpokhrel/exercise-your-first-machine-learning-model", "kernel_id": "19446330"}, {"ref": "aibbqs/exercise-missing-values", "kernel_id": "19729453"}, {"ref": "amarendargandla/exercise-introduction", "kernel_id": "19638223"}, {"ref": "amarendargandla/exercise-missing-values", "kernel_id": "19653877"}, {"ref": "amarendargandla/exercise-machine-learning-competitions", "kernel_id": "19587542"}, {"ref": "amarendargandla/exercise-cross-validation", "kernel_id": "19696339"}, {"ref": "amarendargandla/exercise-pipelines", "kernel_id": "19694740"}, {"ref": "amarendargandla/exercise-data-leakage", "kernel_id": "19717542"}, {"ref": "amarendargandla/exercise-xgboost", "kernel_id": "19717104"}, {"ref": "amarendargandla/exercise-your-first-machine-learning-model", "kernel_id": "19495312"}, {"ref": "amarendargandla/exercise-model-validation", "kernel_id": "19496026"}, {"ref": "amarendargandla/exercise-random-forests", "kernel_id": "19540841"}, {"ref": "amarendargandla/notebook17f6f62fef", "kernel_id": "19540454"}, {"ref": "kmanojreddy/exercise-machine-learning-competitions", "kernel_id": "19462682"}, {"ref": "sumayaaltuwairqi/solved-exercise-model-validation", "kernel_id": "19486128"}, {"ref": "sumayaaltuwairqi/solved-exercise-your-first-machine-learning-model", "kernel_id": "19485882"}, {"ref": "sumayaaltuwairqi/exercise-machine-learning-competitions", "kernel_id": "19670952"}, {"ref": "sumayaaltuwairqi/solved-exercise-random-forests", "kernel_id": "19670671"}, {"ref": "sumayaaltuwairqi/solved-exercise-underfitting-and-overfitting", "kernel_id": "19670541"}, {"ref": "sumayaaltuwairqi/exercise-xgboost", "kernel_id": "19716355"}, {"ref": "sumayaaltuwairqi/solved-exercise-data-leakage", "kernel_id": "19716358"}, {"ref": "vishalsingh14/exercise-your-first-machine-learning-model", "kernel_id": "19224320"}, {"ref": "vishalsingh14/exercise-model-validation", "kernel_id": "19274836"}, {"ref": "riddhidas/exercise-your-first-machine-learning-model", "kernel_id": "19458900"}, {"ref": "riddhidas/exercise-model-validation", "kernel_id": "19461164"}, {"ref": "riddhidas/exercise-machine-learning-competitions", "kernel_id": "19661977"}, {"ref": "mosesmuthanji/exercise-model-validation", "kernel_id": "19766806"}, {"ref": "mosesmuthanji/ml-day2", "kernel_id": "19765821"}, {"ref": "mosesmuthanji/exercise-random-forests", "kernel_id": "19792784"}, {"ref": "mosesmuthanji/underfitting-overfitting", "kernel_id": "19791509"}, {"ref": "aswanigumpena/exercise-xgboost", "kernel_id": "19753630"}, {"ref": "aswanigumpena/exercise-data-leakage", "kernel_id": "19754869"}, {"ref": "sakshamlamba/my-first-machine-learning-model", "kernel_id": "19544059"}, {"ref": "sakshamlamba/exercise-model-validation", "kernel_id": "19547469"}, {"ref": "sakshamlamba/exercise-xgboost", "kernel_id": "19750886"}, {"ref": "sakshamlamba/exercise-cross-validation", "kernel_id": "19735455"}, {"ref": "sakshamlamba/exercise-pipelines", "kernel_id": "19734470"}, {"ref": "sakshamlamba/exercise-categorical-variables", "kernel_id": "19675288"}, {"ref": "sakshamlamba/exercise-missing-values", "kernel_id": "19674366"}, {"ref": "sakshamlamba/exercise-introduction", "kernel_id": "19673873"}, {"ref": "sakshamlamba/exercise-random-forests", "kernel_id": "19590532"}, {"ref": "sakshamlamba/exercise-underfitting-and-overfitting", "kernel_id": "19589993"}, {"ref": "sakshamlamba/exercise-data-leakage", "kernel_id": "19782266"}, {"ref": "ranialka/exercise-data-leakage", "kernel_id": "19799698"}, {"ref": "ranialka/exercise-missing-values", "kernel_id": "19660931"}, {"ref": "ranialka/exercise-categorical-variables", "kernel_id": "19663396"}, {"ref": "ranialka/exercise-pipelines", "kernel_id": "19703939"}, {"ref": "ranialka/exercise-cross-validation", "kernel_id": "19743120"}, {"ref": "ranialka/exercise-xgboost", "kernel_id": "19754837"}, {"ref": "ranialka/exercise-underfitting-and-overfitting", "kernel_id": "19563153"}, {"ref": "ranialka/exercise-random-forests", "kernel_id": "19564196"}, {"ref": "ranialka/exercise-machine-learning-competitions", "kernel_id": "19566670"}, {"ref": "ranialka/exercise-your-first-machine-learning-model", "kernel_id": "19516027"}, {"ref": "ranialka/exercise-model-validation", "kernel_id": "19523860"}, {"ref": "sharmdee0/exercise-your-first-machine-learning-model", "kernel_id": "19114345"}, {"ref": "sharmdee0/exercise-machine-learning-competitions", "kernel_id": "19129805"}, {"ref": "sharmdee0/exercise-random-forests", "kernel_id": "19129605"}, {"ref": "sharmdee0/exercise-underfitting-and-overfitting", "kernel_id": "19129026"}, {"ref": "sharmdee0/exercise-model-validation", "kernel_id": "19128220"}, {"ref": "sharmdee0/exercise-categorical-variables", "kernel_id": "19710219"}, {"ref": "sharmdee0/exercise-pipelines", "kernel_id": "19719421"}, {"ref": "sharmdee0/exercise-xgboost", "kernel_id": "19773859"}, {"ref": "whoisltd/exercise-xgboost", "kernel_id": "19612188"}, {"ref": "whoisltd/exercise-data-leakage", "kernel_id": "19613449"}, {"ref": "leidyfabiolacruz/exercise-machine-learning-competitions", "kernel_id": "19609807"}, {"ref": "kumudsingh9/exercise-introduction", "kernel_id": "19705197"}, {"ref": "kumudsingh9/exercise-your-first-machine-learning-model", "kernel_id": "19557152"}, {"ref": "kumudsingh9/exercise-machine-learning-competitions", "kernel_id": "19579740"}, {"ref": "kumudsingh9/exercise-random-forests", "kernel_id": "19579125"}, {"ref": "kumudsingh9/exercise-underfitting-and-overfitting", "kernel_id": "19528906"}, {"ref": "mamdouhoabdulghaffar/house-prices-eda-and-rgression", "kernel_id": "19578614"}, {"ref": "sushwathreddy/exercise-pipelines", "kernel_id": "19609678"}, {"ref": "mgyokim/30-days-of-ml-day-9-model-validation", "kernel_id": "19512070"}, {"ref": "mgyokim/30-days-of-ml-day-9-decisiontreeregressor", "kernel_id": "19506768"}, {"ref": "mgyokim/30-days-of-ml-day-12-missing-values", "kernel_id": "19683415"}, {"ref": "mgyokim/30-days-of-ml-day-12-introduction", "kernel_id": "19676855"}, {"ref": "mgyokim/30-days-of-ml-day-12-categorical-variables", "kernel_id": "19726662"}, {"ref": "mgyokim/30-days-of-ml-day-11-housing-prices", "kernel_id": "19608806"}, {"ref": "mgyokim/30-days-of-ml-day-10-random-forest", "kernel_id": "19601194"}, {"ref": "mgyokim/30-days-of-ml-day-10-overfitting", "kernel_id": "19595168"}, {"ref": "mgyokim/30-days-of-ml-day-11-exercise", "kernel_id": "19635278"}, {"ref": "mgyokim/30-days-of-ml-day-14-xgboost", "kernel_id": "19902678"}, {"ref": "mgyokim/30-days-of-ml-day-14-data-leakage", "kernel_id": "19912563"}, {"ref": "mgyokim/30-days-of-ml-day-13-cross-validation", "kernel_id": "19787557"}, {"ref": "mgyokim/30-days-of-ml-day-13-pipelines", "kernel_id": "19796313"}, {"ref": "mariofrans/intro-to-machine-learning-5", "kernel_id": "19076745"}, {"ref": "mariofrans/intro-to-machine-learning-4", "kernel_id": "19076251"}, {"ref": "mariofrans/intro-to-machine-learning-3", "kernel_id": "19075591"}, {"ref": "mariofrans/intro-to-machine-learning-6", "kernel_id": "19077429"}, {"ref": "mariofrans/intro-to-machine-learning-7", "kernel_id": "19077627"}, {"ref": "mariofrans/intermediate-machine-learning-1", "kernel_id": "19153837"}, {"ref": "mariofrans/intermediate-machine-learning-2", "kernel_id": "19209264"}, {"ref": "mariofrans/intermediate-machine-learning-7", "kernel_id": "19215276"}, {"ref": "mariofrans/intermediate-machine-learning-6", "kernel_id": "19214124"}, {"ref": "mariofrans/intermediate-machine-learning-5", "kernel_id": "19213044"}, {"ref": "mariofrans/intermediate-machine-learning-3", "kernel_id": "19210836"}, {"ref": "mariofrans/intermediate-machine-learning-4", "kernel_id": "19212181"}, {"ref": "mikezubko/exercise-categorical-variables", "kernel_id": "19822292"}, {"ref": "mikezubko/exercise-random-forests", "kernel_id": "19625080"}, {"ref": "mikezubko/exercise-underfitting-and-overfitting", "kernel_id": "19623800"}, {"ref": "mikezubko/exercise-introduction", "kernel_id": "19629086"}, {"ref": "mikezubko/exercise-your-first-machine-learning-model", "kernel_id": "19487361"}, {"ref": "mikezubko/exercise-model-validation", "kernel_id": "19511580"}, {"ref": "lydiaazzouz/missing-values", "kernel_id": "19644264"}, {"ref": "sachinthakavishan/exercise-underfitting-and-overfitting", "kernel_id": "19944014"}, {"ref": "sachinthakavishan/random-forests", "kernel_id": "19951791"}, {"ref": "sachinthakavishan/exercise-random-forests", "kernel_id": "19952382"}, {"ref": "sachinthakavishan/exercise-model-validation", "kernel_id": "19939077"}, {"ref": "sachinthakavishan/model-validation", "kernel_id": "19837414"}, {"ref": "aleepsy33/exercise-model-validation", "kernel_id": "19496031"}, {"ref": "aleepsy33/exercise-your-first-machine-learning-model", "kernel_id": "19492339"}, {"ref": "aleepsy33/exercise-underfitting-and-overfitting", "kernel_id": "19542867"}, {"ref": "aleepsy33/exercise-random-forests", "kernel_id": "19543444"}, {"ref": "aleepsy33/exercise-machine-learning-competitions", "kernel_id": "19587222"}, {"ref": "aleepsy33/exercise-categorical-variables", "kernel_id": "19722482"}, {"ref": "aleepsy33/exercise-missing-values", "kernel_id": "19721625"}, {"ref": "aleepsy33/exercise-cross-validation", "kernel_id": "19813890"}, {"ref": "mtarakavignesh/exercise-data-leakage", "kernel_id": "19703809"}, {"ref": "mtarakavignesh/exercise-xgboost", "kernel_id": "19703029"}, {"ref": "mtarakavignesh/exercise-cross-validation", "kernel_id": "19697435"}, {"ref": "mtarakavignesh/exercise-pipelines", "kernel_id": "19696266"}, {"ref": "mtarakavignesh/exercise-introduction", "kernel_id": "19617809"}, {"ref": "mtarakavignesh/exercise-categorical-variables", "kernel_id": "19636801"}, {"ref": "mtarakavignesh/exercise-machine-learning-competitions", "kernel_id": "19572443"}, {"ref": "mtarakavignesh/exercise-model-validation", "kernel_id": "19508385"}, {"ref": "mtarakavignesh/exercise-your-first-machine-learning-model", "kernel_id": "19507924"}, {"ref": "mtarakavignesh/exercise-random-forests", "kernel_id": "19525241"}, {"ref": "mtarakavignesh/exercise-underfitting-and-overfitting", "kernel_id": "19524638"}, {"ref": "joshuaanyang/exercise-machine-learning-competitions", "kernel_id": "19609611"}, {"ref": "kree212/exercise-pipelines", "kernel_id": "19691569"}, {"ref": "profahmadhussein2010/exercise-random-forests", "kernel_id": "19523767"}, {"ref": "profahmadhussein2010/exercise-data-leakage", "kernel_id": "19559506"}, {"ref": "profahmadhussein2010/exercise-your-first-machine-learning-model", "kernel_id": "19533226"}, {"ref": "profahmadhussein2010/exercise-model-validation", "kernel_id": "19533228"}, {"ref": "profahmadhussein2010/exercise-underfitting-and-overfitting", "kernel_id": "19533229"}, {"ref": "profahmadhussein2010/exercise-machine-learning-competitions", "kernel_id": "19533231"}, {"ref": "profahmadhussein2010/exercise-missing-values", "kernel_id": "19656085"}, {"ref": "profahmadhussein2010/exercise-xgboost", "kernel_id": "19654858"}, {"ref": "profahmadhussein2010/exercise-categorical-variables", "kernel_id": "19654796"}, {"ref": "profahmadhussein2010/exercise-introduction", "kernel_id": "19653619"}, {"ref": "profahmadhussein2010/exercise-pipelines", "kernel_id": "19653952"}, {"ref": "profahmadhussein2010/exercise-cross-validation", "kernel_id": "19653954"}, {"ref": "khule28/notebook38a7b8091d", "kernel_id": "19605580"}, {"ref": "khule28/exercise-categorical-variables", "kernel_id": "19694357"}, {"ref": "khule28/notebook8cde7c92db", "kernel_id": "19980653"}, {"ref": "andreaorlando/exercise-your-first-machine-learning-model", "kernel_id": "19845139"}, {"ref": "andreaorlando/exercise-model-validation", "kernel_id": "19878843"}, {"ref": "khushit1mehta/exercise-missing-values", "kernel_id": "19335182"}, {"ref": "mdzisun/exercise-categorical-variables", "kernel_id": "19583331"}, {"ref": "mdzisun/exercise-xgboost", "kernel_id": "19712098"}, {"ref": "vatsalmsharma/exercise-underfitting-and-overfitting", "kernel_id": "19712307"}, {"ref": "vatsalmsharma/exercise-model-validation", "kernel_id": "19710592"}, {"ref": "vatsalmsharma/exercise-your-first-machine-learning-model", "kernel_id": "19558035"}, {"ref": "ludwingfernandez/exercise-missing-values", "kernel_id": "19613462"}, {"ref": "snowmoss10/exercise-pipelines", "kernel_id": "19705359"}, {"ref": "snowmoss10/exercise-categorical-variables", "kernel_id": "19695885"}, {"ref": "snowmoss10/exercise-machine-learning-competitions", "kernel_id": "19609370"}, {"ref": "mnhtrncngtun/exercise-categorical-variables", "kernel_id": "19899936"}, {"ref": "mnhtrncngtun/exercise-machine-learning-competitions", "kernel_id": "19788127"}, {"ref": "logeshm7/exercise-underfitting-and-overfitting", "kernel_id": "19779915"}, {"ref": "logeshm7/exercise-model-validation", "kernel_id": "19725878"}, {"ref": "logeshm7/exercise-your-first-machine-learning-model", "kernel_id": "19700551"}, {"ref": "logeshm7/exercise-machine-learning-competitions", "kernel_id": "19784129"}, {"ref": "logeshm7/exercise-random-forests", "kernel_id": "19782227"}, {"ref": "logeshm7/exercise-introduction", "kernel_id": "19882113"}, {"ref": "logeshm7/exercise-missing-values", "kernel_id": "19886382"}, {"ref": "logeshm7/exercise-categorical-variables", "kernel_id": "19916143"}, {"ref": "saq123456789/notebooka993f478c9", "kernel_id": "19790057"}, {"ref": "aryac20/exercise-missing-values", "kernel_id": "19621047"}, {"ref": "prashantchandra96/exercise-your-first-machine-learning-model", "kernel_id": "19938797"}, {"ref": "reemmuhammad2/30daysml-day11-housingprices", "kernel_id": "19650977"}, {"ref": "reyazbeigh/exercise-xgboost", "kernel_id": "19206640"}, {"ref": "gagandeepgautam/exercise-xgboost", "kernel_id": "19736958"}, {"ref": "slickledarlosheeyz/exercise-your-first-machine-learning-model", "kernel_id": "19489525"}, {"ref": "slickledarlosheeyz/exercise-model-validation", "kernel_id": "19490419"}, {"ref": "slickledarlosheeyz/exercise-underfitting-and-overfitting", "kernel_id": "19540466"}, {"ref": "slickledarlosheeyz/exercise-random-forests", "kernel_id": "19541854"}, {"ref": "slickledarlosheeyz/exercise-pipelines", "kernel_id": "19674580"}, {"ref": "slickledarlosheeyz/exercise-cross-validation", "kernel_id": "19675731"}, {"ref": "slickledarlosheeyz/exercise-machine-learning-competitions", "kernel_id": "19586354"}, {"ref": "slickledarlosheeyz/exercise-missing-values", "kernel_id": "19631059"}, {"ref": "venkatahebbar/exercise-xgboost", "kernel_id": "19467281"}, {"ref": "venkatahebbar/exercise-data-leakage", "kernel_id": "19468548"}, {"ref": "venkatahebbar/exercise-introduction", "kernel_id": "19464043"}, {"ref": "venkatahebbar/exercise-missing-values", "kernel_id": "19464528"}, {"ref": "venkatahebbar/exercise-categorical-variables", "kernel_id": "19465393"}, {"ref": "venkatahebbar/exercise-cross-validation", "kernel_id": "19466805"}, {"ref": "venkatahebbar/exercise-model-validation", "kernel_id": "19444593"}, {"ref": "venkatahebbar/exercise-underfitting-and-overfitting", "kernel_id": "19444816"}, {"ref": "venkatahebbar/exercise-random-forests", "kernel_id": "19444927"}, {"ref": "venkatahebbar/exercise-machine-learning-competitions", "kernel_id": "19444978"}, {"ref": "venkatahebbar/exercise-your-first-machine-learning-model-solved", "kernel_id": "19444097"}, {"ref": "sylviajoybintrim/exercise-missing-values", "kernel_id": "19655640"}, {"ref": "charmingmichelleluo/exercise-categorical-variables", "kernel_id": "19625868"}, {"ref": "charmingmichelleluo/exercise-missing-values", "kernel_id": "19625582"}, {"ref": "charmingmichelleluo/exercise-introduction", "kernel_id": "19625494"}, {"ref": "charmingmichelleluo/exercise-random-forests", "kernel_id": "19616950"}, {"ref": "charmingmichelleluo/exercise-underfitting-and-overfitting", "kernel_id": "19614052"}, {"ref": "charmingmichelleluo/exercise-pipelines", "kernel_id": "19713685"}, {"ref": "charmingmichelleluo/exercise-cross-validation", "kernel_id": "19714177"}, {"ref": "charmingmichelleluo/exercise-data-leakage", "kernel_id": "19714882"}, {"ref": "charmingmichelleluo/exercise-xgboost", "kernel_id": "19714378"}, {"ref": "charmingmichelleluo/exercise-your-first-machine-learning-model", "kernel_id": "19533027"}, {"ref": "charmingmichelleluo/exercise-model-validation", "kernel_id": "19533028"}, {"ref": "gopusriganesh/exercise-machine-learning-competitions", "kernel_id": "19571350"}, {"ref": "gopusriganesh/exercise-data-leakage", "kernel_id": "19745536"}, {"ref": "gopusriganesh/exercise-cross-validation", "kernel_id": "19745119"}, {"ref": "gopusriganesh/exercise-xgboost", "kernel_id": "19745192"}, {"ref": "gopusriganesh/exercise-pipelines", "kernel_id": "19744763"}, {"ref": "gopusriganesh/exercise-introduction", "kernel_id": "19618539"}, {"ref": "gopusriganesh/exercise-missing-values", "kernel_id": "19618718"}, {"ref": "gopusriganesh/exercise-categorical-variables", "kernel_id": "19618722"}, {"ref": "rramandixit/exercise-machine-learning-competitions", "kernel_id": "19732796"}, {"ref": "vinamratarani/exercise-machine-learning-competitions", "kernel_id": "19885612"}, {"ref": "vinamratarani/exercise-missing-values", "kernel_id": "19897739"}, {"ref": "vinamratarani/exercise-your-first-machine-learning-model", "kernel_id": "19011070"}, {"ref": "aksharpremnath/exercise-random-forests", "kernel_id": "19444530"}, {"ref": "aksharpremnath/exercise-underfitting-and-overfitting", "kernel_id": "19444702"}, {"ref": "aksharpremnath/exercise-missing-values", "kernel_id": "19768826"}, {"ref": "aksharpremnath/exercise-machine-learning-competitions", "kernel_id": "19714766"}, {"ref": "aksharpremnath/exercise-introduction", "kernel_id": "19716251"}, {"ref": "aksharpremnath/exercise-model-validation", "kernel_id": "19358335"}, {"ref": "aksharpremnath/exercise-your-first-machine-learning-model", "kernel_id": "19342320"}, {"ref": "dbkowski/exercise-categorical-variables", "kernel_id": "19816532"}, {"ref": "dragankoji/exercise-categorical-variables", "kernel_id": "19486778"}, {"ref": "jiteshbagul/exercise-model-validation", "kernel_id": "19528489"}, {"ref": "jiteshbagul/exercise-your-first-machine-learning-model", "kernel_id": "19526571"}, {"ref": "jiteshbagul/exercise-underfitting-and-overfitting", "kernel_id": "19696066"}, {"ref": "jiteshbagul/exercise-random-forests", "kernel_id": "19696084"}, {"ref": "bhavyaratanmaroo/exercise-missing-values", "kernel_id": "19142705"}, {"ref": "misrasouvik/exercise-your-first-machine-learning-model", "kernel_id": "19953812"}, {"ref": "misrasouvik/exercise-model-validation", "kernel_id": "19954898"}, {"ref": "mohamedhassanakl/housing-prices-competition", "kernel_id": "19886626"}, {"ref": "mohamedhassanakl/different-ml-models-to-solve-supervised-problem", "kernel_id": "19953994"}, {"ref": "ayushganeshnighot/exercise-machine-learning-competitions", "kernel_id": "19573007"}, {"ref": "wakeelahmadansari/exercise-random-forests", "kernel_id": "19568399"}, {"ref": "wakeelahmadansari/exercise-underfitting-and-overfitting", "kernel_id": "19567844"}, {"ref": "wakeelahmadansari/exercise-model-validation", "kernel_id": "19524469"}, {"ref": "wakeelahmadansari/exercise-your-first-machine-learning-model", "kernel_id": "19519323"}, {"ref": "wakeelahmadansari/exercise-xgboost", "kernel_id": "19748527"}, {"ref": "wakeelahmadansari/exercise-data-leakage", "kernel_id": "19749245"}, {"ref": "wakeelahmadansari/exercise-categorical-variables", "kernel_id": "19655232"}, {"ref": "wakeelahmadansari/exercise-machine-learning-competitions", "kernel_id": "19604746"}, {"ref": "bhawanasuman/exercise-xgboost-solved", "kernel_id": "19519138"}, {"ref": "bhawanasuman/exercise-cross-validation-solved", "kernel_id": "19518649"}, {"ref": "bhawanasuman/exercise-pipelines-solved", "kernel_id": "19518076"}, {"ref": "bhawanasuman/exercise-data-leakage-solved", "kernel_id": "19519472"}, {"ref": "bhawanasuman/exercise-machine-learning-competitions-solved", "kernel_id": "19504417"}, {"ref": "bhawanasuman/exercise-underfitting-and-overfitting-solved", "kernel_id": "19503491"}, {"ref": "bhawanasuman/exercise-random-forests-solved", "kernel_id": "19504141"}, {"ref": "bhawanasuman/exercise-model-validation-solved", "kernel_id": "19503244"}, {"ref": "bhawanasuman/exercise-your-first-machine-learning-model-solved", "kernel_id": "19502616"}, {"ref": "bhawanasuman/exercise-categorical-variables-solved", "kernel_id": "19507271"}, {"ref": "bhawanasuman/exercise-missing-values-solved", "kernel_id": "19505657"}, {"ref": "bhawanasuman/exercise-introduction-solved", "kernel_id": "19505436"}, {"ref": "arslanyersain/exercise-your-first-machine-learning-model", "kernel_id": "19469202"}, {"ref": "jayeshbhilkar/exercise-machine-learning-competitions-jb", "kernel_id": "19659265"}, {"ref": "anshuman7217/exercise-introduction", "kernel_id": "19924134"}, {"ref": "atulsharma2002/exercise-categorical-variables", "kernel_id": "19660512"}, {"ref": "atulsharma2002/exercise-introduction", "kernel_id": "19637325"}, {"ref": "atulsharma2002/exercise-machine-learning-competitions", "kernel_id": "19599059"}, {"ref": "atulsharma2002/exercise-pipelines", "kernel_id": "19725089"}, {"ref": "aryanayush012/exercise-cross-validation", "kernel_id": "19692406"}, {"ref": "aryanayush012/exercise-pipelines", "kernel_id": "19683889"}, {"ref": "aryanayush012/exercise-xgboost", "kernel_id": "19734031"}, {"ref": "aryanayush012/exercise-data-leakage", "kernel_id": "19736245"}, {"ref": "aryanayush012/exercise-underfitting-and-overfitting", "kernel_id": "19600760"}, {"ref": "aryanayush012/exercise-missing-values", "kernel_id": "19620886"}, {"ref": "aryanayush012/exercise-introduction", "kernel_id": "19620186"}, {"ref": "aryanayush012/exercise-machine-learning-competitions", "kernel_id": "19607515"}, {"ref": "aryanayush012/exercise-random-forests", "kernel_id": "19607112"}, {"ref": "aryanayush012/exercise-categorical-variables", "kernel_id": "19653498"}, {"ref": "aryanayush012/exercise-your-first-machine-learning-model", "kernel_id": "19502742"}, {"ref": "aryanayush012/exercise-model-validation", "kernel_id": "19514781"}, {"ref": "neetu52/basic-data-exploration", "kernel_id": "19479788"}, {"ref": "neetu52/your-first-machine-learning-model", "kernel_id": "19480975"}, {"ref": "eminentlass/exercise-categorical-variables", "kernel_id": "19736962"}, {"ref": "uicisaac/exercise-machine-learning-competitions", "kernel_id": "19818287"}, {"ref": "deepthijh/exercise-your-first-machine-learning-model", "kernel_id": "19497583"}, {"ref": "deepthijh/exercise-model-validation", "kernel_id": "19546670"}, {"ref": "makibalans/exercise-your-first-machine-learning-model", "kernel_id": "19509832"}, {"ref": "makibalans/exercise-model-validation", "kernel_id": "19512124"}, {"ref": "rutumbharakale/exercise-your-first-machine-learning-model", "kernel_id": "19521821"}, {"ref": "tharaniganesh/day-14-01", "kernel_id": "19778128"}, {"ref": "tharaniganesh/day-13-02", "kernel_id": "19777652"}, {"ref": "tharaniganesh/day-14-02", "kernel_id": "19778836"}, {"ref": "tharaniganesh/day-13-01", "kernel_id": "19777397"}, {"ref": "tharaniganesh/day-12-03", "kernel_id": "19635864"}, {"ref": "tharaniganesh/day-12", "kernel_id": "19634844"}, {"ref": "tharaniganesh/day-12-02", "kernel_id": "19635372"}, {"ref": "tharaniganesh/day-11", "kernel_id": "19615204"}, {"ref": "tharaniganesh/exercise-model-validation", "kernel_id": "19521520"}, {"ref": "tharaniganesh/day-9-task", "kernel_id": "19521128"}, {"ref": "tharaniganesh/day-10-tasks", "kernel_id": "19545984"}, {"ref": "tharaniganesh/day-10-task", "kernel_id": "19545708"}, {"ref": "harshkrsinha/exercise-your-first-machine-learning-model", "kernel_id": "19791278"}, {"ref": "thisisharshitzone/exercise-underfitting-and-overfitting", "kernel_id": "19530411"}, {"ref": "thisisharshitzone/exercise-random-forests", "kernel_id": "19530911"}, {"ref": "thisisharshitzone/exercise-model-validation", "kernel_id": "19480933"}, {"ref": "thisisharshitzone/exercise-your-first-machine-learning-model", "kernel_id": "19478991"}, {"ref": "thisisharshitzone/exercise-categorical-variables", "kernel_id": "19622769"}, {"ref": "thisisharshitzone/exercise-cross-validation", "kernel_id": "19663316"}, {"ref": "thisisharshitzone/exercise-pipelines", "kernel_id": "19662576"}, {"ref": "thisisharshitzone/exercise-data-leakage", "kernel_id": "19720943"}, {"ref": "thisisharshitzone/exercise-xgboost", "kernel_id": "19720547"}, {"ref": "vishalsinghparmar/exercise-cross-validation", "kernel_id": "19690951"}, {"ref": "vishalsinghparmar/exercise-pipelines", "kernel_id": "19690511"}, {"ref": "vishalsinghparmar/exercise-categorical-variables", "kernel_id": "19690017"}, {"ref": "vishalsinghparmar/exercise-missing-values", "kernel_id": "19689714"}, {"ref": "vishalsinghparmar/exercise-introduction", "kernel_id": "19689308"}, {"ref": "vishalsinghparmar/exercise-data-leakage", "kernel_id": "19743126"}, {"ref": "vishalsinghparmar/exercise-xgboost", "kernel_id": "19742776"}, {"ref": "ankitpanjar/exercise-categorical-variables", "kernel_id": "19638098"}, {"ref": "prajaktadhumal/30-days-of-ml-underfitting-and-overfitting", "kernel_id": "19569888"}, {"ref": "prajaktadhumal/30-days-ml-random-forests", "kernel_id": "19570066"}, {"ref": "prajaktadhumal/exercise-model-validation", "kernel_id": "19518527"}, {"ref": "prajaktadhumal/exercise-your-first-machine-learning-model", "kernel_id": "19518419"}, {"ref": "prajaktadhumal/exercise-missing-values", "kernel_id": "19659135"}, {"ref": "prajaktadhumal/exercise-categorical-variables", "kernel_id": "19659174"}, {"ref": "prajaktadhumal/exercise-introduction-6d675a", "kernel_id": "19658400"}, {"ref": "prajaktadhumal/exercise-machine-learning-competitions", "kernel_id": "19611522"}, {"ref": "prajaktadhumal/exercise-xgboost", "kernel_id": "19745756"}, {"ref": "prajaktadhumal/exercise-data-leakage", "kernel_id": "19746242"}, {"ref": "prajaktadhumal/exercise-pipelines", "kernel_id": "19690620"}, {"ref": "prajaktadhumal/exercise-cross-validation", "kernel_id": "19691052"}, {"ref": "bmcode86/day-9-1-30-first-machine-learning-model", "kernel_id": "19475263"}, {"ref": "bmcode86/day-11-30-machine-learning-competitions", "kernel_id": "19581628"}, {"ref": "bmcode86/day-9-2-30-model-validation", "kernel_id": "19532911"}, {"ref": "bmcode86/day-12-1-30-introduction-to-intermediate-ml", "kernel_id": "19611880"}, {"ref": "bmcode86/day-12-2-30-intro-to-intermml-w-missing-value", "kernel_id": "19617827"}, {"ref": "bmcode86/day-13-30-pipelines", "kernel_id": "19660193"}, {"ref": "bmcode86/day-12-3-30-categorical-variables", "kernel_id": "19653210"}, {"ref": "mohammadtanweerahmed/exercise-model-validation", "kernel_id": "19524443"}, {"ref": "mohammadtanweerahmed/exercise-your-first-machine-learning-model", "kernel_id": "19522504"}, {"ref": "mohammadtanweerahmed/exercise-random-forests", "kernel_id": "19567875"}, {"ref": "mohammadtanweerahmed/exercise-underfitting-and-overfitting", "kernel_id": "19567299"}, {"ref": "mohammadtanweerahmed/exercise-introduction", "kernel_id": "19838991"}, {"ref": "mohammadtanweerahmed/exercise-missing-values", "kernel_id": "19844895"}, {"ref": "mohammadtanweerahmed/exercise-categorical-variables", "kernel_id": "19850894"}, {"ref": "chandankatiyar/exercise-missing-values", "kernel_id": "19766902"}, {"ref": "jaykumarsharma/exercise-machine-learning-competitions", "kernel_id": "19183074"}, {"ref": "salahharhira/exercise-machine-learning-model", "kernel_id": "19506200"}, {"ref": "rafaelflor/exercise-your-first-machine-learning-model", "kernel_id": "19504181"}, {"ref": "mohammedakib/exercise-model-validation", "kernel_id": "19558951"}, {"ref": "mohammedakib/exercise-your-first-machine-learning-model", "kernel_id": "19557579"}, {"ref": "mohammedakib/exercise-underfitting-and-overfitting", "kernel_id": "19645773"}, {"ref": "mohammedakib/exercise-random-forests", "kernel_id": "19647673"}, {"ref": "omidfarzan/exercise-your-first-machine-learning-model", "kernel_id": "19489108"}, {"ref": "omidfarzan/exercise-model-validation", "kernel_id": "19582739"}, {"ref": "omidfarzan/exercise-underfitting-and-overfitting", "kernel_id": "19611418"}, {"ref": "omidfarzan/exercise-machine-learning-competitions", "kernel_id": "19614606"}, {"ref": "omidfarzan/exercise-random-forests", "kernel_id": "19614118"}, {"ref": "omidfarzan/exercise-categorical-variables", "kernel_id": "19735854"}, {"ref": "omidfarzan/exercise-introduction", "kernel_id": "19705807"}, {"ref": "arpitdhongade/exercise-pipelines", "kernel_id": "19955432"}, {"ref": "gtzgod/your-first-machine-learning-model", "kernel_id": "19195652"}, {"ref": "gtzgod/model-validation", "kernel_id": "19227872"}, {"ref": "gtzgod/pipelines", "kernel_id": "19586410"}, {"ref": "gtzgod/xgboost-extreme-gradient-boosting", "kernel_id": "19727317"}, {"ref": "gtzgod/cross-validation", "kernel_id": "19726181"}, {"ref": "gtzgod/data-leakage", "kernel_id": "19729047"}, {"ref": "gtzgod/underfitting-and-overfitting", "kernel_id": "19464221"}, {"ref": "gtzgod/missing-values", "kernel_id": "19540268"}, {"ref": "gtzgod/introduction", "kernel_id": "19538259"}, {"ref": "gtzgod/exercise-introduction", "kernel_id": "19538596"}, {"ref": "gtzgod/categorical-variables", "kernel_id": "19550544"}, {"ref": "gtzgod/random-forests", "kernel_id": "19489777"}, {"ref": "abdulwadoodchinoy/exercise-machine-learning-competitions", "kernel_id": "19766328"}, {"ref": "ashmalvayani/price-prediction-eda-and-xgboost", "kernel_id": "19887000"}, {"ref": "mahakgupta25/housing-price-prediction", "kernel_id": "19877381"}, {"ref": "akmmahfuzurrahman/exercise-underfitting-and-overfitting", "kernel_id": "19264453"}, {"ref": "akmmahfuzurrahman/exercise-first-machine-learning-model", "kernel_id": "19197957"}, {"ref": "akmmahfuzurrahman/exercise-model-validation", "kernel_id": "19199150"}, {"ref": "fauxhubris/notebook2db76e783a", "kernel_id": "19880195"}, {"ref": "zhensongren/exercise-pipelines", "kernel_id": "20915767"}, {"ref": "rajgbabu/exercise-model-validation", "kernel_id": "20103553"}, {"ref": "sravyaysk/exercise-pipelines-d13-30days-of-ml", "kernel_id": "20305608"}, {"ref": "sravyaysk/exercise-cross-validation-d13-30days-of-ml", "kernel_id": "20305609"}, {"ref": "sravyaysk/exercise-xgboost-d14-30days-of-ml", "kernel_id": "20305611"}, {"ref": "sravyaysk/exercise-data-leakage-d14-30days-of-ml", "kernel_id": "20305615"}, {"ref": "sravyaysk/pipelines-d13-30days-of-ml", "kernel_id": "20305637"}, {"ref": "sravyaysk/xgboost-d14-30days-of-ml", "kernel_id": "20306096"}, {"ref": "sravyaysk/data-leakage-d14-30days-of-ml", "kernel_id": "20306143"}, {"ref": "sravyaysk/cross-validation-d13-30days-of-ml", "kernel_id": "20305890"}, {"ref": "romikumar7/exercise-underfitting-and-overfitting", "kernel_id": "20845303"}, {"ref": "romikumar7/exercise-machine-learning-competitions", "kernel_id": "20845677"}, {"ref": "romikumar7/exercise-your-first-machine-learning-model", "kernel_id": "20844491"}, {"ref": "romikumar7/exercise-model-validation", "kernel_id": "20844842"}, {"ref": "romikumar7/exercise-introduction", "kernel_id": "20852509"}, {"ref": "romikumar7/exercise-missing-values", "kernel_id": "20917547"}, {"ref": "romikumar7/exercise-pipelines", "kernel_id": "20939510"}, {"ref": "romikumar7/exercise-cross-validation", "kernel_id": "20939662"}, {"ref": "romikumar7/exercise-xgboost", "kernel_id": "20939900"}, {"ref": "romikumar7/exercise-categorical-variables", "kernel_id": "20938171"}, {"ref": "fbozoglilanian/housing-prices-competition-notebook", "kernel_id": "20606068"}, {"ref": "fconcas/ames-housing-dataset", "kernel_id": "20903106"}, {"ref": "akash17/exercise-cross-validation", "kernel_id": "20023197"}, {"ref": "akash17/exercise-xgboost", "kernel_id": "20025220"}, {"ref": "akash17/exercise-data-leakage", "kernel_id": "20025599"}, {"ref": "rohitsaistark/exercise-your-first-machine-learning-model", "kernel_id": "20599049"}, {"ref": "rohitsaistark/exercise-data-leakage", "kernel_id": "20655497"}, {"ref": "rohitsaistark/exercise-cross-validation", "kernel_id": "20647385"}, {"ref": "rohitsaistark/exercise-xgboost", "kernel_id": "20648119"}, {"ref": "rohitsaistark/exercise-pipelines", "kernel_id": "20646481"}, {"ref": "rohitsaistark/exercise-underfitting-and-overfitting", "kernel_id": "20636616"}, {"ref": "rohitsaistark/exercise-random-forests", "kernel_id": "20636815"}, {"ref": "rohitsaistark/exercise-machine-learning-competitions", "kernel_id": "20636875"}, {"ref": "rohitsaistark/exercise-introduction", "kernel_id": "20637270"}, {"ref": "rohitsaistark/exercise-missing-values", "kernel_id": "20637875"}, {"ref": "rohitsaistark/exercise-categorical-variables", "kernel_id": "20638501"}, {"ref": "gooner1997/exercise-categorical-variables", "kernel_id": "20032179"}, {"ref": "blossomnoodles/notebook1c99c05072", "kernel_id": "20904465"}, {"ref": "maikai/exercise-pipelines", "kernel_id": "20013301"}, {"ref": "maikai/exercise-cross-validation", "kernel_id": "20013536"}, {"ref": "maikai/exercise-xgboost", "kernel_id": "20013956"}, {"ref": "maikai/exercise-data-leakage", "kernel_id": "20014292"}, {"ref": "alfredtangss/exercise-data-leakage", "kernel_id": "20080329"}, {"ref": "alfredtangss/exercise-xgboost", "kernel_id": "20076900"}, {"ref": "alfredtangss/exercise-categorical-variables", "kernel_id": "20022782"}, {"ref": "alfredtangss/exercise-pipelines", "kernel_id": "20054306"}, {"ref": "alfredtangss/exercise-cross-validation", "kernel_id": "20062891"}, {"ref": "derek7832/exercise-xgboost", "kernel_id": "20916520"}, {"ref": "grey77/exercise-missing-values", "kernel_id": "20505872"}, {"ref": "grey77/exercise-machine-learning-competitions", "kernel_id": "20443570"}, {"ref": "grey77/exercise-your-first-machine-learning-model-e5bd8e", "kernel_id": "20350724"}, {"ref": "eyowakim/exercise-machine-learning-competitions", "kernel_id": "20267660"}, {"ref": "eyowakim/exercise-random-forests", "kernel_id": "20267616"}, {"ref": "eyowakim/exercise-underfitting-and-overfitting", "kernel_id": "20267030"}, {"ref": "eyowakim/exercise-model-validation", "kernel_id": "20266567"}, {"ref": "eyowakim/exercise-introduction", "kernel_id": "20412518"}, {"ref": "eyowakim/exercise-your-first-machine-learning-model", "kernel_id": "20203795"}, {"ref": "rohanpatnaik/exercise-missing-values", "kernel_id": "20270994"}, {"ref": "rohanpatnaik/stackingandensembling", "kernel_id": "20363248"}, {"ref": "zahraa100/categorical-variables", "kernel_id": "20096798"}, {"ref": "arka1112/home-data-model-improvement", "kernel_id": "20131997"}, {"ref": "abhiroop43/exercise-data-leakage", "kernel_id": "20346351"}, {"ref": "abhiroop43/exercise-xgboost", "kernel_id": "20344032"}, {"ref": "abhiroop43/exercise-cross-validation", "kernel_id": "20343132"}, {"ref": "haozhang607/exercise-data-leakage", "kernel_id": "20146070"}, {"ref": "haozhang607/exercise-cross-validation", "kernel_id": "20120862"}, {"ref": "haozhang607/exercise-pipelines", "kernel_id": "20096585"}, {"ref": "rahul2020/exercise-missing-values", "kernel_id": "20028846"}, {"ref": "rahul2020/exercise-introduction", "kernel_id": "20028070"}, {"ref": "rahul2020/exercise-categorical-variables", "kernel_id": "20029746"}, {"ref": "rahul2020/exercise-pipelines", "kernel_id": "20029964"}, {"ref": "rahul2020/exercise-cross-validation", "kernel_id": "20030128"}, {"ref": "rahul2020/exercise-data-leakage", "kernel_id": "20044274"}, {"ref": "yasmeenasaad/exercise-machine-learning-competitions", "kernel_id": "20126277"}, {"ref": "avidlearner23/my-code-for-the-housing-price-competition", "kernel_id": "20375944"}, {"ref": "jrybarczyk/exercise-xgboost", "kernel_id": "20160567"}, {"ref": "jrybarczyk/exercise-data-leakage", "kernel_id": "20161569"}, {"ref": "jrybarczyk/exercise-categorical-variables", "kernel_id": "20158735"}, {"ref": "omarwael/exercise-missing-values", "kernel_id": "20011012"}, {"ref": "omarwael/exercise-introduction", "kernel_id": "20010234"}, {"ref": "omarwael/exercise-random-forests", "kernel_id": "20009751"}, {"ref": "omarwael/exercise-machine-learning-competitions", "kernel_id": "20009816"}, {"ref": "matheusjcandido/intro-to-ml-micro-course-all-exercises", "kernel_id": "20764534"}, {"ref": "mathaba/exercise-machine-learning-competitions", "kernel_id": "20629516"}, {"ref": "amalshajiprof/exercise-xgboost", "kernel_id": "20154350"}, {"ref": "fatwheel/exercise-missing-values", "kernel_id": "20733092"}, {"ref": "fatwheel/exercise-categorical-variables", "kernel_id": "20757876"}, {"ref": "mohammedabdallah97/notebookeb9dabbd10", "kernel_id": "20048414"}, {"ref": "isissantoscosta/exercise-categorical-variables", "kernel_id": "20099710"}, {"ref": "isissantoscosta/exercise-pipelines", "kernel_id": "20316564"}, {"ref": "isissantoscosta/exercise-xgboost", "kernel_id": "20358287"}, {"ref": "isissantoscosta/exercise-cross-validation", "kernel_id": "20331294"}, {"ref": "gurubm/exercise-machine-learning-competitions", "kernel_id": "20031858"}, {"ref": "kakapari/exercise-xgboost", "kernel_id": "20187103"}, {"ref": "ehitdeepakthakur/exercise-categorical-variables", "kernel_id": "20001407"}, {"ref": "ehitdeepakthakur/exercise-pipelines", "kernel_id": "20001884"}, {"ref": "ehitdeepakthakur/exercise-data-leakage", "kernel_id": "20003555"}, {"ref": "ehitdeepakthakur/exercise-xgboost", "kernel_id": "20003043"}, {"ref": "ehitdeepakthakur/exercise-cross-validation", "kernel_id": "20002557"}, {"ref": "subhomajumder/exercise-your-first-machine-learning-model", "kernel_id": "20033215"}, {"ref": "subhomajumder/exercise-model-validation", "kernel_id": "20033554"}, {"ref": "subhomajumder/one-month-ython-tutorial-kaggle-competition", "kernel_id": "20140531"}, {"ref": "subhomajumder/exercise-machine-learning-competitions", "kernel_id": "20091703"}, {"ref": "subhomajumder/exercise-random-forests", "kernel_id": "20090727"}, {"ref": "subhomajumder/exercise-underfitting-and-overfitting", "kernel_id": "20090416"}, {"ref": "akashambashankar/exercise-machine-learning-competitions", "kernel_id": "20573212"}, {"ref": "lonnieqin/house-price-prediction-catboost", "kernel_id": "20473936"}, {"ref": "lonnieqin/house-price-prediction-with-tf-catboost-top-1", "kernel_id": "20031126"}, {"ref": "archanags001/your-first-machine-learning-model", "kernel_id": "20104015"}, {"ref": "archanags001/basic-data-exploration", "kernel_id": "20103675"}, {"ref": "archanags001/exercise-your-first-machine-learning-model", "kernel_id": "20104243"}, {"ref": "archanags001/exercise-data-leakage", "kernel_id": "20214737"}, {"ref": "archanags001/data-leakage", "kernel_id": "20214740"}, {"ref": "archanags001/exercise-xgboost", "kernel_id": "20214266"}, {"ref": "archanags001/exercise-introduction", "kernel_id": "20172278"}, {"ref": "archanags001/exercise-machine-learning-competitions", "kernel_id": "20171730"}, {"ref": "archanags001/exercise-underfitting-and-overfitting", "kernel_id": "20171339"}, {"ref": "archanags001/exercise-cross-validation", "kernel_id": "20200668"}, {"ref": "archanags001/pipelines", "kernel_id": "20195743"}, {"ref": "archanags001/missing-values", "kernel_id": "20194314"}, {"ref": "archanags001/exercise-missing-values", "kernel_id": "20194557"}, {"ref": "archanags001/exercise-categorical-variables", "kernel_id": "20195040"}, {"ref": "archanags001/categorical-variables", "kernel_id": "20194986"}, {"ref": "archanags001/exercise-model-validation", "kernel_id": "20168728"}, {"ref": "archanags001/exercise-random-forests", "kernel_id": "20171632"}, {"ref": "archanags001/underfitting-and-overfitting", "kernel_id": "20171200"}, {"ref": "ethansilvas/exercise-your-first-machine-learning-model", "kernel_id": "20876443"}, {"ref": "ethansilvas/exercise-model-validation", "kernel_id": "20918322"}, {"ref": "ethansilvas/exercise-underfitting-and-overfitting", "kernel_id": "20977585"}, {"ref": "ethansilvas/exercise-random-forests", "kernel_id": "20979223"}, {"ref": "nusratjahanpritha/exercise-missing-values", "kernel_id": "20071457"}, {"ref": "enesimek/exercise-machine-learning-competitions", "kernel_id": "20487098"}, {"ref": "soundaryamiranam/30-days-of-ml-day-11-house-prices", "kernel_id": "20110768"}, {"ref": "bisheshworneupane/exercise-categorical-variables", "kernel_id": "20662061"}, {"ref": "bisheshworneupane/exercise-xgboost", "kernel_id": "20669294"}, {"ref": "bisheshworneupane/exercise-pipelines", "kernel_id": "20668361"}, {"ref": "bisheshworneupane/exercise-cross-validation", "kernel_id": "20668915"}, {"ref": "ashwinbhalerao/exercise-machine-learning-competitions", "kernel_id": "20084994"}, {"ref": "excel2r/exercise-machine-learning-competitions", "kernel_id": "20542074"}, {"ref": "bhartikindra/exercise-machine-learning-competitions", "kernel_id": "20150246"}, {"ref": "viveksalunkhe/day-13-part-2-exercise-cross-validation", "kernel_id": "20148533"}, {"ref": "viveksalunkhe/day-14-part-2-exercise-data-leakage", "kernel_id": "20150469"}, {"ref": "viveksalunkhe/day-14-part-1-exercise-xgboost", "kernel_id": "20149759"}, {"ref": "viveksalunkhe/day-12-part-1-exercise-introduction", "kernel_id": "20112657"}, {"ref": "viveksalunkhe/day-12-part-2-exercise-missing-values", "kernel_id": "20112735"}, {"ref": "viveksalunkhe/day-12-part-3-exercise-categorical-variables", "kernel_id": "20113689"}, {"ref": "viveksalunkhe/day-13-part-1-exercise-pipelines", "kernel_id": "20138544"}, {"ref": "viveksalunkhe/day-9-part-1-exercise-your-first-ml-model", "kernel_id": "20022913"}, {"ref": "viveksalunkhe/day-9-part-2-exercise-model-validation", "kernel_id": "20022921"}, {"ref": "viveksalunkhe/day-10-part-1-exercise-underfitting-overfitting", "kernel_id": "20023427"}, {"ref": "viveksalunkhe/day-10-part-2-exercise-random-forests", "kernel_id": "20023677"}, {"ref": "viveksalunkhe/day-11-exercise-machine-learning-competitions", "kernel_id": "20024942"}, {"ref": "adhyatmasharma/exercise-random-forests", "kernel_id": "20301386"}, {"ref": "adhyatmasharma/exercise-xgboost", "kernel_id": "20558943"}, {"ref": "alihussain1616/submission", "kernel_id": "20001302"}, {"ref": "shahbaz9/housing-price-prediction", "kernel_id": "20347726"}, {"ref": "shahbaz9/housing-price-prediction-2", "kernel_id": "20462551"}, {"ref": "ravindrasonawane/housing-price-prediction", "kernel_id": "20329458"}, {"ref": "abdelrahmankhalil/exercise-data-leakage", "kernel_id": "20003614"}, {"ref": "likithvp/exercise-categorical-variables", "kernel_id": "20192989"}, {"ref": "adityarajagrawal/xgboost-solution-top-1", "kernel_id": "20238519"}, {"ref": "muhammadannasimtiaz/basic-data-exploration", "kernel_id": "20191383"}, {"ref": "mohitmore/exercise-machine-learning-competitions", "kernel_id": "20942553"}, {"ref": "ayebakuroaoruwori/exercise-introduction", "kernel_id": "20045694"}, {"ref": "alid3bs/7-regression-algorithms-comparison-selection", "kernel_id": "20622535"}, {"ref": "nancymuraguri/exercise-your-first-machine-learning-model", "kernel_id": "20016880"}, {"ref": "nancymuraguri/exercise-model-validation", "kernel_id": "20018075"}, {"ref": "firefortysix/30doml-day-09-first-machine-learning-model", "kernel_id": "20012299"}, {"ref": "firefortysix/30doml-day-09-model-validation", "kernel_id": "20012314"}, {"ref": "firefortysix/30doml-day-10-underfitting-and-overfitting", "kernel_id": "20017095"}, {"ref": "firefortysix/30doml-day-10-random-forests", "kernel_id": "20017108"}, {"ref": "firefortysix/30doml-day-12-introduction-intermediate-ml", "kernel_id": "20021415"}, {"ref": "firefortysix/30doml-day-12-missing-values", "kernel_id": "20021425"}, {"ref": "firefortysix/30doml-day-12-categorical-variables", "kernel_id": "20021429"}, {"ref": "firefortysix/30doml-day-11-machine-learning-competitions", "kernel_id": "20018651"}, {"ref": "firefortysix/30doml-day-13-pipelines", "kernel_id": "20045342"}, {"ref": "firefortysix/30doml-day-13-cross-validation", "kernel_id": "20045348"}, {"ref": "firefortysix/30doml-day-14-xgboost", "kernel_id": "20050418"}, {"ref": "firefortysix/30doml-day-14-data-leakage", "kernel_id": "20050426"}, {"ref": "yasharth328/exercise-categorical-variables", "kernel_id": "20837374"}, {"ref": "ast999/exercise-cross-validation", "kernel_id": "20065298"}, {"ref": "ast999/exercise-pipelines", "kernel_id": "20064928"}, {"ref": "ahsanmehmoood/exercise-model-validation", "kernel_id": "20050386"}, {"ref": "datascienceimcomming/linear-models-with-the-tewkey-transfomation", "kernel_id": "20110094"}, {"ref": "calebabhulimhen/exercise-your-first-machine-learning-model", "kernel_id": "20223001"}, {"ref": "calebabhulimhen/exercise-machine-learning-competitions", "kernel_id": "20381086"}, {"ref": "calebabhulimhen/exercise-random-forests", "kernel_id": "20380974"}, {"ref": "calebabhulimhen/exercise-model-validation", "kernel_id": "20380131"}, {"ref": "ekaterinazhuikova/exercise-your-first-machine-learning-model", "kernel_id": "20973150"}, {"ref": "saniafatimasayed/exercise-random-forests", "kernel_id": "20213735"}, {"ref": "shairanarido/exercise-introduction", "kernel_id": "20133831"}, {"ref": "shairanarido/exercise-missing-values", "kernel_id": "20134581"}, {"ref": "shairanarido/exercise-pipelines", "kernel_id": "20158127"}, {"ref": "tanesan/exercise-underfitting-and-overfitting", "kernel_id": "20209960"}, {"ref": "tanesan/exercise-machine-learning-competitions", "kernel_id": "20211222"}, {"ref": "tanesan/exercise-random-forests", "kernel_id": "20210788"}, {"ref": "tanesan/exercise-your-first-machine-learning-model", "kernel_id": "20208538"}, {"ref": "tanesan/exercise-model-validation", "kernel_id": "20209172"}, {"ref": "farjanaemanishy/houseprice", "kernel_id": "20404212"}, {"ref": "phamtheds/exercise-pipelines", "kernel_id": "20229598"}, {"ref": "rauffatali/house-prices-prediction", "kernel_id": "20234886"}, {"ref": "upinderkahlon28/housing-prices", "kernel_id": "20074978"}, {"ref": "alexandrasciocchetti/housing-prediction-w-pipeline-ensemble-methods", "kernel_id": "20959987"}, {"ref": "jagaya/building-a-custom-dataframe-pipeline", "kernel_id": "20666634"}, {"ref": "nikhilgond/exercise-xgboost-d14-2", "kernel_id": "20059269"}, {"ref": "nikhilgond/exercise-pipelines-d13", "kernel_id": "20012980"}, {"ref": "nikhilgond/exercise-cross-validation-d13", "kernel_id": "20032594"}, {"ref": "nikhilgond/exercise-data-leakage-d14", "kernel_id": "20079894"}, {"ref": "minaomobonike/exercise-xgboost", "kernel_id": "20035872"}, {"ref": "rehanstack/housing-prices-prediction", "kernel_id": "20236149"}, {"ref": "bryan2sylph/exercise-machine-learning-competitions", "kernel_id": "20173056"}, {"ref": "asadsabir2000/exercise-xgboost", "kernel_id": "20680614"}, {"ref": "asadsabir2000/exercise-data-leakage", "kernel_id": "20681560"}, {"ref": "asadsabir2000/exercise-model-validation", "kernel_id": "20075647"}, {"ref": "asadsabir2000/exercise-underfitting-and-overfitting", "kernel_id": "20076514"}, {"ref": "asadsabir2000/exercise-machine-learning-competitions", "kernel_id": "20101456"}, {"ref": "asadsabir2000/exercise-random-forests", "kernel_id": "20100374"}, {"ref": "asadsabir2000/exercise-your-first-machine-learning-model", "kernel_id": "20042157"}, {"ref": "asadsabir2000/exercise-missing-values", "kernel_id": "20318252"}, {"ref": "asadsabir2000/exercise-introduction", "kernel_id": "20317804"}, {"ref": "asadsabir2000/exercise-categorical-variables", "kernel_id": "20412072"}, {"ref": "asadsabir2000/exercise-pipelines", "kernel_id": "20473033"}, {"ref": "asadsabir2000/exercise-cross-validation", "kernel_id": "20473573"}, {"ref": "hadeerelnaggar/exercise-machine-learning-competitions", "kernel_id": "20070070"}, {"ref": "neesham/deep-neural-network-v-s-xgboost", "kernel_id": "20062650"}, {"ref": "ayanmalik35/exercise-categorical-variables", "kernel_id": "20428501"}, {"ref": "mshreyaskumarsharma/exercise-missing-values", "kernel_id": "20047717"}, {"ref": "someetsingh/xg-boost-gradient-boosting", "kernel_id": "20378673"}, {"ref": "hassanammar/exercise-machine-learning-competitions", "kernel_id": "20723690"}, {"ref": "akshaykadwe/exercise-categorical-variables", "kernel_id": "20048537"}, {"ref": "akshaykadwe/exercise-cross-validation", "kernel_id": "20048479"}, {"ref": "akshaykadwe/exercise-xgboost", "kernel_id": "20052508"}, {"ref": "akshaykadwe/exercise-pipelines", "kernel_id": "20048029"}, {"ref": "dariakramarenko/exercise-underfitting-and-overfitting", "kernel_id": "20832368"}, {"ref": "shaikamreen02/exercise-missing-values", "kernel_id": "20390923"}, {"ref": "asadithiyaa/exercise-xgboost", "kernel_id": "20213363"}, {"ref": "asadithiyaa/exercise-data-leakage", "kernel_id": "20347757"}, {"ref": "raj401/top1-housepriceprediction", "kernel_id": "20118151"}, {"ref": "tiwari4444/exercise-your-first-machine-learning-model", "kernel_id": "20930756"}, {"ref": "muhammadusamaaleem/ml-competition-to-predict-house-prices", "kernel_id": "20127581"}, {"ref": "abdulazeezoj/exercise-data-leakage", "kernel_id": "20197032"}, {"ref": "abdulazeezoj/exercise-cross-validation", "kernel_id": "20126997"}, {"ref": "abdulazeezoj/exercise-pipelines", "kernel_id": "20126488"}, {"ref": "abdulazeezoj/exercise-categorical-variables", "kernel_id": "20124715"}, {"ref": "abdulazeezoj/exercise-xgboost", "kernel_id": "20138619"}, {"ref": "seungyongchoe/exercise-machine-learning-competitions", "kernel_id": "20303504"}, {"ref": "amrutak050505/exercise-categorical-variables", "kernel_id": "20001592"}, {"ref": "amrutak050505/exercise-xgboost", "kernel_id": "20002323"}, {"ref": "amrutak050505/exercise-cross-validation", "kernel_id": "20002059"}, {"ref": "amrutak050505/exercise-pipelines", "kernel_id": "20001957"}, {"ref": "yashmpatel/exercise-machine-learning-competitions", "kernel_id": "20650068"}, {"ref": "rajwinder2000/housepricing", "kernel_id": "20686025"}, {"ref": "mahdimurshed/house-price-prediction-289", "kernel_id": "20510488"}, {"ref": "brunofacco/exercise-missing-values", "kernel_id": "20194596"}, {"ref": "brunofacco/exercise-introduction", "kernel_id": "20194028"}, {"ref": "brunofacco/exercise-underfitting-and-overfitting", "kernel_id": "20171965"}, {"ref": "brunofacco/exercise-machine-learning-competitions", "kernel_id": "20172080"}, {"ref": "brunofacco/exercise-random-forests", "kernel_id": "20172085"}, {"ref": "brunofacco/exercise-model-validation", "kernel_id": "20169767"}, {"ref": "brunofacco/exercise-your-first-machine-learning-model", "kernel_id": "20169415"}, {"ref": "hedraatia/exercise-cross-validation-by-hedra-atia", "kernel_id": "20607682"}, {"ref": "hedraatia/exercise-xgboost-by-hedra-atia", "kernel_id": "20609303"}, {"ref": "hedraatia/exercise-data-leakage-by-hedra-atia", "kernel_id": "20610000"}, {"ref": "hedraatia/exercise-pipelines-by-hedra-atia", "kernel_id": "20379948"}, {"ref": "hedraatia/exercise-intro-in-intermediate-ml-by-hedra-atia", "kernel_id": "20210715"}, {"ref": "hedraatia/exercise-categorical-variables-by-hedra-atia", "kernel_id": "20223221"}, {"ref": "hedraatia/exercise-missing-values-by-hedra-atia", "kernel_id": "20220278"}, {"ref": "hedraatia/exercise-ml-competitions-by-hedra-atia", "kernel_id": "20168916"}, {"ref": "hedraatia/exercise-underfitting-and-overfitting-by-hedraatia", "kernel_id": "20095773"}, {"ref": "hedraatia/exercise-random-forests-by-hedra-atia", "kernel_id": "20097928"}, {"ref": "hedraatia/exercise-model-validation-by-hedra-atia", "kernel_id": "20070013"}, {"ref": "hedraatia/exercise-first-ml-model-by-hedra-atia", "kernel_id": "20069166"}, {"ref": "krishnadaskv/housing-price-prediction", "kernel_id": "20835923"}, {"ref": "mahditavakol/housing-xgb", "kernel_id": "20513906"}, {"ref": "maghsadiri/exercise-your-first-machine-learning-model", "kernel_id": "20152007"}, {"ref": "abhishekjaju1/exercise-machine-learning-competitions", "kernel_id": "20118564"}, {"ref": "krisjanispuduls/exercise-machine-learning-competitions", "kernel_id": "20663081"}, {"ref": "bhavikjadav/exercise-categorical-variables", "kernel_id": "20044576"}, {"ref": "bhavikjadav/exercise-cross-validation", "kernel_id": "20126550"}, {"ref": "bhavikjadav/exercise-pipelines", "kernel_id": "20091256"}, {"ref": "surajsomasundaran/exercise-categorical-variables", "kernel_id": "20035353"}, {"ref": "edwardcodes/exercise-model-validation", "kernel_id": "20051028"}, {"ref": "junhyeok99/house-price-for-beginner", "kernel_id": "20791148"}, {"ref": "martynovandrey/fe-optuna-voting", "kernel_id": "20966925"}, {"ref": "gregoriusbayuaji/exercise-your-first-machine-learning-model", "kernel_id": "20034061"}, {"ref": "gregoriusbayuaji/exercise-ml-introduction", "kernel_id": "20034078"}, {"ref": "gregoriusbayuaji/exercise-model-validation", "kernel_id": "20158851"}, {"ref": "gregoriusbayuaji/exercise-machine-learning-competitions", "kernel_id": "20160291"}, {"ref": "gregoriusbayuaji/exercise-underfitting-and-overfitting", "kernel_id": "20159321"}, {"ref": "gregoriusbayuaji/exercise-random-forests", "kernel_id": "20160242"}, {"ref": "amishadahal/exercise-missing-values", "kernel_id": "20161202"}, {"ref": "amishadahal/exercise-categorical-variables", "kernel_id": "20230128"}, {"ref": "amishadahal/exercise-day-4-model-validation", "kernel_id": "20013294"}, {"ref": "amishadahal/exercise-underfitting-and-overfitting", "kernel_id": "20089898"}, {"ref": "amishadahal/exercise-random-forests", "kernel_id": "20104317"}, {"ref": "amishadahal/exercise-machine-learning-competitions-modified", "kernel_id": "20104600"}, {"ref": "amishadahal/exercise-introduction", "kernel_id": "20126069"}, {"ref": "priyesh01/exercise-missing-values", "kernel_id": "20393169"}, {"ref": "stephenpetrides/exercise-random-forests", "kernel_id": "20068872"}, {"ref": "giacomoignesti/exercise-model-validation", "kernel_id": "20135298"}, {"ref": "giacomoignesti/exercise-underfitting-and-overfitting", "kernel_id": "20135808"}, {"ref": "giacomoignesti/exercise-random-forests", "kernel_id": "20136337"}, {"ref": "giacomoignesti/exercise-your-first-machine-learning-model", "kernel_id": "20132061"}, {"ref": "giacomoignesti/exercise-categorical-variables", "kernel_id": "20189183"}, {"ref": "giacomoignesti/exercise-missing-values", "kernel_id": "20188348"}, {"ref": "shahnawaj7/feature-engineering", "kernel_id": "20297601"}, {"ref": "sharifabdul/exercise-machine-learning-competitions", "kernel_id": "20054325"}, {"ref": "kadirduran/exercise-your-first-machine-learning-model", "kernel_id": "20617577"}, {"ref": "serdarcaglar/exercise-underfitting-and-overfitting", "kernel_id": "20805359"}, {"ref": "deepikaps/exercise-model-validation", "kernel_id": "20375916"}, {"ref": "deepikaps/exercise-your-first-machine-learning-model", "kernel_id": "20371546"}, {"ref": "deepikaps/exercise-random-forests", "kernel_id": "20465292"}, {"ref": "deepikaps/exercise-underfitting-and-overfitting", "kernel_id": "20424452"}, {"ref": "mosesmuthanji/exercise-xgboost", "kernel_id": "20091633"}, {"ref": "mosesmuthanji/exercise-data-leakage", "kernel_id": "20093073"}, {"ref": "mosesmuthanji/exercise-cross-validation", "kernel_id": "20084058"}, {"ref": "mosesmuthanji/exercise-categorical-variables", "kernel_id": "20080316"}, {"ref": "piyushpokhariyal/exercise-categorical-variables", "kernel_id": "20001116"}, {"ref": "leidyfabiolacruz/exercise-model-validation-daily", "kernel_id": "20025091"}, {"ref": "mikezubko/exercise-xgboost", "kernel_id": "20470539"}, {"ref": "mikezubko/exercise-data-leakage", "kernel_id": "20471910"}, {"ref": "mikezubko/exercise-cross-validation", "kernel_id": "20352477"}, {"ref": "khule28/house-price-prediction-simple-solution", "kernel_id": "20134950"}, {"ref": "logeshm7/exercise-xgboost", "kernel_id": "20109936"}, {"ref": "logeshm7/exercise-pipelines", "kernel_id": "20103369"}, {"ref": "logeshm7/exercise-cross-validation", "kernel_id": "20105618"}, {"ref": "shreevatsama/exercise-machine-learning-competitions", "kernel_id": "20045582"}, {"ref": "prashantchandra96/exercise-xgboost", "kernel_id": "20377709"}, {"ref": "prashantchandra96/exercise-introduction", "kernel_id": "20006229"}, {"ref": "prashantchandra96/exercise-random-forests", "kernel_id": "20005630"}, {"ref": "prashantchandra96/exercise-underfitting-and-overfitting", "kernel_id": "20001931"}, {"ref": "prashantchandra96/exercise-model-validation", "kernel_id": "20000952"}, {"ref": "antikaroy/exercise-machine-learning-competitions", "kernel_id": "20174678"}, {"ref": "mirach21/housing-prices-notebook", "kernel_id": "20374181"}, {"ref": "aksharpremnath/exercise-categorical-variables", "kernel_id": "20218972"}, {"ref": "aksharpremnath/exercise-cross-validation", "kernel_id": "20220870"}, {"ref": "misrasouvik/exercise-underfitting-and-overfitting", "kernel_id": "20113085"}, {"ref": "sonakshibhardwaj/exercise-introduction", "kernel_id": "20176236"}, {"ref": "sanjayaiwanhermawan/exercise-xgboost", "kernel_id": "20152796"}, {"ref": "sanjayaiwanhermawan/exercise-data-leakage", "kernel_id": "20153020"}, {"ref": "sanjayaiwanhermawan/exercise-cross-validation", "kernel_id": "20152461"}, {"ref": "sanjayaiwanhermawan/exercise-pipelines", "kernel_id": "20152100"}, {"ref": "sanjayaiwanhermawan/exercise-categorical-variables", "kernel_id": "20151895"}, {"ref": "sanjayaiwanhermawan/exercise-introduction", "kernel_id": "20151339"}, {"ref": "sanjayaiwanhermawan/exercise-missing-values", "kernel_id": "20151587"}, {"ref": "sanjayaiwanhermawan/exercise-your-first-machine-learning-model", "kernel_id": "20055599"}, {"ref": "sanjayaiwanhermawan/exercise-underfitting-and-overfitting", "kernel_id": "20056497"}, {"ref": "sanjayaiwanhermawan/exercise-model-validation", "kernel_id": "20056028"}, {"ref": "sanjayaiwanhermawan/exercise-machine-learning-competitions", "kernel_id": "20057299"}, {"ref": "sanjayaiwanhermawan/exercise-random-forests", "kernel_id": "20056920"}, {"ref": "yaswan7/exercise-data-leakage", "kernel_id": "20109139"}, {"ref": "fauxhubris/exercise-pipelines", "kernel_id": "20230936"}, {"ref": "karansehgal13/price-predictor", "kernel_id": "20298573"}, {"ref": "matg0400/exercise-machine-learning-competitions", "kernel_id": "20840642"}, {"ref": "snehsingh001/exercise-missing-values", "kernel_id": "20202372"}, {"ref": "jadhavtejal/exercise-random-forests", "kernel_id": "20361770"}, {"ref": "jadhavtejal/exercise-underfitting-and-overfitting", "kernel_id": "20318742"}, {"ref": "jadhavtejal/exercise-your-first-machine-learning-model", "kernel_id": "20066481"}, {"ref": "jadhavtejal/exercise-model-validation", "kernel_id": "20088757"}, {"ref": "akinadeabiodun/exercise-machine-learning-competitions", "kernel_id": "20001985"}, {"ref": "almalaura98/exercise-machine-learning-competitions", "kernel_id": "20660095"}, {"ref": "almalaura98/exercise-introduction", "kernel_id": "20661198"}, {"ref": "lakshminarayanan54/exercise-introduction", "kernel_id": "20033052"}, {"ref": "lakshminarayanan54/exercise-underfitting-and-overfitting", "kernel_id": "20023859"}, {"ref": "lakshminarayanan54/exercise-random-forests", "kernel_id": "20024960"}, {"ref": "lakshminarayanan54/exercise-your-first-machine-learning-model", "kernel_id": "20022393"}, {"ref": "lakshminarayanan54/exercise-model-validation", "kernel_id": "20022986"}, {"ref": "poojasati88/exercise-your-first-machine-learning-model", "kernel_id": "20021518"}, {"ref": "poojasati88/exercise-model-validation", "kernel_id": "20065329"}, {"ref": "zakirhusensunasara/exercise-random-forests", "kernel_id": "20047552"}, {"ref": "shashimo/simple-solution-for-int-ml-students", "kernel_id": "20925816"}, {"ref": "shashimo/simple-xgb-solution-for-int-ml-students-top5", "kernel_id": "20969703"}, {"ref": "kagglerrr1/top1-housepriceprediction", "kernel_id": "20148407"}, {"ref": "itsbd45/exercise-your-first-machine-learning-model", "kernel_id": "20149095"}, {"ref": "sushantahujha/exercise-your-first-machine-learning-model", "kernel_id": "20149933"}, {"ref": "aryaaryan/day-15", "kernel_id": "20339340"}, {"ref": "mehedirucse/notebookb98482bc6c", "kernel_id": "20437411"}, {"ref": "erikfrancesco/exercise-underfitting-and-overfitting", "kernel_id": "20951266"}, {"ref": "kennedymuchina/exercise-underfitting-and-overfitting", "kernel_id": "20448408"}, {"ref": "kennedymuchina/exercise-your-first-machine-learning-model", "kernel_id": "20421203"}, {"ref": "irinel01/exercise-introduction", "kernel_id": "20658522"}, {"ref": "irinel01/exercise-random-forests", "kernel_id": "20537879"}, {"ref": "irinel01/exercise-underfitting-and-overfitting", "kernel_id": "20537333"}, {"ref": "irinel01/exercise-machine-learning-competitions", "kernel_id": "20552173"}, {"ref": "irinel01/exercise-missing-values", "kernel_id": "20684078"}, {"ref": "irinel01/exercise-xgboost", "kernel_id": "20889828"}, {"ref": "irinel01/exercise-data-leakage", "kernel_id": "20891833"}, {"ref": "irinel01/exercise-cross-validation", "kernel_id": "20888779"}, {"ref": "irinel01/exercise-pipelines", "kernel_id": "20885989"}, {"ref": "irinel01/exercise-your-first-machine-learning-model", "kernel_id": "20513315"}, {"ref": "irinel01/exercise-model-validation", "kernel_id": "20533860"}, {"ref": "jn6213114018lyc/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "20584510"}, {"ref": "jn6213114018lyc/housing-prices-competition-by-onehotencoder", "kernel_id": "20626442"}, {"ref": "jn6213114018lyc/housing-prices-competition-xgb", "kernel_id": "20765517"}, {"ref": "pschroedl/exercise-random-forests", "kernel_id": "20875888"}, {"ref": "kareemaboshamia/exercise-machine-learning-competitions", "kernel_id": "20959454"}, {"ref": "nandanrana/exercise-pipelines", "kernel_id": "21454160"}, {"ref": "isma3ilsamir/housing-prices-competition-eda-part-1", "kernel_id": "21948797"}, {"ref": "rohitsikka1994/moti-sikka", "kernel_id": "21291119"}, {"ref": "haripriyaramesh/exercise-your-first-machine-learning-model", "kernel_id": "21519916"}, {"ref": "laughingcat/notebook5c9e469b35", "kernel_id": "21256835"}, {"ref": "saurabhl/exercise-random-forests", "kernel_id": "21118145"}, {"ref": "marahr/exercise-data-leakage", "kernel_id": "21564371"}, {"ref": "marahr/exercise-pipelines", "kernel_id": "21561912"}, {"ref": "marahr/exercise-cross-validation", "kernel_id": "21562424"}, {"ref": "marahr/exercise-xgboost", "kernel_id": "21563450"}, {"ref": "marahr/exercise-missing-values", "kernel_id": "21498116"}, {"ref": "marahr/exercise-categorical-variables", "kernel_id": "21534830"}, {"ref": "marahr/exercise-introduction", "kernel_id": "21468568"}, {"ref": "koushik912/exercise-machine-learning-competitions", "kernel_id": "21482464"}, {"ref": "frukkurt/exercise-your-first-machine-learning-model", "kernel_id": "21959944"}, {"ref": "mfarhi/xgboost-optuna", "kernel_id": "21941484"}, {"ref": "ethansilvas/exercise-introduction", "kernel_id": "21997467"}, {"ref": "georgiosyfantidis/home-data-for-ml-course-exp", "kernel_id": "21163802"}, {"ref": "litonlu/pipelines", "kernel_id": "21270262"}, {"ref": "kyuhwanjung2/housingprices-week6-nov", "kernel_id": "21799186"}, {"ref": "ekaterinazhuikova/exercise-random-forests", "kernel_id": "21053554"}, {"ref": "ekaterinazhuikova/exercise-machine-learning-competitions", "kernel_id": "21053636"}, {"ref": "ekaterinazhuikova/exercise-underfitting-and-overfitting", "kernel_id": "21053288"}, {"ref": "ekaterinazhuikova/exercise-model-validation", "kernel_id": "21053111"}, {"ref": "ekaterinazhuikova/exercise-missing-values", "kernel_id": "21054306"}, {"ref": "safonenkomax/exercise-categorical-variables", "kernel_id": "21790893"}, {"ref": "safonenkomax/exercise-introduction", "kernel_id": "21790022"}, {"ref": "safonenkomax/exercise-data-leakage", "kernel_id": "21791767"}, {"ref": "safonenkomax/exercise-xgboost", "kernel_id": "21791572"}, {"ref": "safonenkomax/exercise-pipelines", "kernel_id": "21791212"}, {"ref": "safonenkomax/exercise-cross-validation", "kernel_id": "21791370"}, {"ref": "safonenkomax/exercise-missing-values", "kernel_id": "21790318"}, {"ref": "safonenkomax/exercise-random-forests", "kernel_id": "21784463"}, {"ref": "safonenkomax/exercise-underfitting-and-overfitting", "kernel_id": "21784097"}, {"ref": "safonenkomax/exercise-model-validation", "kernel_id": "21783850"}, {"ref": "aklimarimi/conv2d-vs-separableconv2d", "kernel_id": "21347175"}, {"ref": "syedzeeshanbscs/exercise-missing-values", "kernel_id": "21881494"}, {"ref": "nimahmasuud/exercise-random-forests", "kernel_id": "21595283"}, {"ref": "nimahmasuud/exercise-underfitting-and-overfitting", "kernel_id": "21687230"}, {"ref": "ninanovikova/home-price-prediction-with-simple-catboost-model", "kernel_id": "21909909"}, {"ref": "juliorsleite/houseprices-xgboost-pipeline-randomscan", "kernel_id": "21544315"}, {"ref": "moxxis/exercise-xgboost", "kernel_id": "21650497"}, {"ref": "gauravtopre/house-price-prediction", "kernel_id": "21608565"}, {"ref": "matheusmoretti/top-10-housing-prices-kaggle-courses", "kernel_id": "21263938"}, {"ref": "labbadeepak/house-price-2", "kernel_id": "21300004"}, {"ref": "suguruchhaya/exercise-machine-learning-competitions", "kernel_id": "21721580"}, {"ref": "corneliuskristianto/home-pricing-prediction-using-best-model", "kernel_id": "21159427"}, {"ref": "daveyjo/exercise-xgboost", "kernel_id": "21335284"}, {"ref": "tomastekle/exercise-xgboost", "kernel_id": "21917129"}, {"ref": "tomastekle/exercise-pipelines", "kernel_id": "21692169"}, {"ref": "vinciusyan/exercise-your-first-machine-learning-model", "kernel_id": "21734083"}, {"ref": "vinciusyan/exercise-model-validation", "kernel_id": "21761460"}, {"ref": "shakshyathedetector/exercise-missing-values", "kernel_id": "21956079"}, {"ref": "shakshyathedetector/exercise-introduction", "kernel_id": "21955659"}, {"ref": "coreyhamren/housing-prices-top-1", "kernel_id": "21649693"}, {"ref": "sid3945/housing-prices-submission-competition", "kernel_id": "21307998"}, {"ref": "reddyrakesh/exercise-xgboost", "kernel_id": "21559904"}, {"ref": "abdullah3yad/full-steps-on-house-price-prediction", "kernel_id": "21273910"}, {"ref": "austinwolff/exercise-missing-values", "kernel_id": "21358038"}, {"ref": "karansehgal13/housing-prices-prediction-using-pipelines", "kernel_id": "21004817"}, {"ref": "slashiceman/exercise-missing-values", "kernel_id": "21000738"}, {"ref": "chothanihemansi/exercise-machine-learning-competitions", "kernel_id": "21754538"}, {"ref": "chothanihemansi/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "21755530"}, {"ref": "imtahiriqbal/exercise-machine-learning-competitions", "kernel_id": "21677757"}, {"ref": "zeeshanali23/exercise-pipelines", "kernel_id": "21777887"}, {"ref": "dianadelgadopaz/data-houses-price-diana", "kernel_id": "21952145"}, {"ref": "longphib181/house-price", "kernel_id": "21118286"}, {"ref": "ruthgn/top-1-model-interpretation-deployment", "kernel_id": "21603868"}, {"ref": "avtochakhnashvili/exercise-pipelines", "kernel_id": "21408069"}, {"ref": "avikumart/regression-home-price-prediction-1st", "kernel_id": "21735005"}, {"ref": "namitvshah/exercise-introduction", "kernel_id": "21055277"}, {"ref": "namitvshah/namit-shah-exercise", "kernel_id": "21041067"}, {"ref": "abhishekaggarwal896/simple-top-1-percent-kaggle-house-competition", "kernel_id": "21083571"}, {"ref": "erifeyldrm/exercise-machine-learning-competitions", "kernel_id": "21531614"}, {"ref": "aroojsyed/exercise-your-first-machine-learning-model", "kernel_id": "21395738"}, {"ref": "aroojsyed/exercise-machine-learning-competitions", "kernel_id": "21395914"}, {"ref": "aroojsyed/exercise-model-validation", "kernel_id": "21565266"}, {"ref": "samuelcortinhas/housing-xgboost", "kernel_id": "21792386"}, {"ref": "akhileshprasanna/exercise-xgboost", "kernel_id": "21767699"}, {"ref": "rifqihaikal/exercise-random-forests", "kernel_id": "21752370"}, {"ref": "muntasirahad/exercise-your-first-machine-learning-model", "kernel_id": "21981815"}, {"ref": "ramygad/exercise-pipelines", "kernel_id": "22274826"}, {"ref": "viannaandresouza/house-predictions", "kernel_id": "22194202"}, {"ref": "austino/exercise-introduction", "kernel_id": "22336064"}, {"ref": "amitdhakad/exercise-data-leakage", "kernel_id": "22582454"}, {"ref": "nooreo92/house-price-predictions-v2", "kernel_id": "22134155"}, {"ref": "frukkurt/exercise-underfitting-and-overfitting", "kernel_id": "22134510"}, {"ref": "frukkurt/exercise-random-forests", "kernel_id": "22134737"}, {"ref": "frukkurt/exercise-machine-learning-competitions", "kernel_id": "22134887"}, {"ref": "frukkurt/exercise-model-validation", "kernel_id": "22133909"}, {"ref": "mfarhi/catboost-optuna", "kernel_id": "22048165"}, {"ref": "rakeshku1993/housing-price-xgboost-intermediate-ml-course", "kernel_id": "22963791"}, {"ref": "farjadanalytica/exercise-machine-learning-competitions", "kernel_id": "22120290"}, {"ref": "farjadanalytica/exercise-categorical-variables", "kernel_id": "22267818"}, {"ref": "draaziz/exercise-machine-learning-competitions", "kernel_id": "22257662"}, {"ref": "vyacheslavivanov/exercise-categorical-variables", "kernel_id": "22818065"}, {"ref": "anurag983/exercise-machine-learning-competitions", "kernel_id": "22504124"}, {"ref": "ishan2851/housing-prices-for-ml-course", "kernel_id": "22514680"}, {"ref": "comman/deep-into-house-price-again", "kernel_id": "22262102"}, {"ref": "pasatithchantawut/predict-house-pricing", "kernel_id": "22313330"}, {"ref": "arezoodahesh/house-price-prediction-linear-nonlinear-models", "kernel_id": "22753615"}, {"ref": "fathimak/exercise-machine-learning-competitions", "kernel_id": "22809022"}, {"ref": "junior10/house-price-prediction-apply-in-ml", "kernel_id": "22213739"}, {"ref": "aditin29/exercise-machine-learning-competitions", "kernel_id": "22421208"}, {"ref": "mariamkotob/exercise-your-first-machine-learning-model", "kernel_id": "22625739"}, {"ref": "rusliahmad/exercise-machine-learning-competitions", "kernel_id": "22347380"}, {"ref": "mkosik/house-pricing-with-simple-pipeline", "kernel_id": "22137034"}, {"ref": "yanadav/exercise-missing-values", "kernel_id": "22709689"}, {"ref": "misterjjunpatch/housing-price-prediction-high-acc", "kernel_id": "22640501"}, {"ref": "izzuzantyaf/exercise-model-validation", "kernel_id": "22138746"}, {"ref": "izzuzantyaf/exercise-underfitting-and-overfitting", "kernel_id": "22139070"}, {"ref": "izzuzantyaf/exercise-random-forests", "kernel_id": "22139276"}, {"ref": "izzuzantyaf/exercise-your-first-machine-learning-model", "kernel_id": "22134154"}, {"ref": "imcr00z/hpc-pipeline-top-4", "kernel_id": "22373935"}, {"ref": "kgg1ep/housing-prices-prediction", "kernel_id": "22908105"}, {"ref": "sujvalrai/exercise-your-first-machine-learning-model", "kernel_id": "22785783"}, {"ref": "hagyeong174/housing-prices-competition", "kernel_id": "22137597"}, {"ref": "m45454545/exercise-machine-learning-competitions", "kernel_id": "22530590"}, {"ref": "m45454545/exercise-introduction", "kernel_id": "22530868"}, {"ref": "m45454545/exercise-missing-values", "kernel_id": "22531937"}, {"ref": "jkanthony/exercise-missing-values", "kernel_id": "22143989"}, {"ref": "jkanthony/exercise-pipelines", "kernel_id": "22360289"}, {"ref": "charelloos/notebookfd9e6f6b4a", "kernel_id": "22671896"}, {"ref": "doshidishant/exercise-data-leakage", "kernel_id": "22925399"}, {"ref": "doshidishant/exercise-xgboost", "kernel_id": "22924947"}, {"ref": "doshidishant/exercise-cross-validation", "kernel_id": "22924455"}, {"ref": "doshidishant/exercise-pipelines", "kernel_id": "22924062"}, {"ref": "doshidishant/exercise-your-first-machine-learning-model", "kernel_id": "22878972"}, {"ref": "doshidishant/exercise-underfitting-and-overfitting", "kernel_id": "22888345"}, {"ref": "doshidishant/exercise-model-validation", "kernel_id": "22887922"}, {"ref": "doshidishant/exercise-machine-learning-competitions", "kernel_id": "22888806"}, {"ref": "doshidishant/exercise-random-forests", "kernel_id": "22888700"}, {"ref": "doshidishant/exercise-missing-values", "kernel_id": "22889378"}, {"ref": "doshidishant/exercise-introduction", "kernel_id": "22889125"}, {"ref": "doshidishant/exercise-categorical-variables", "kernel_id": "22898390"}, {"ref": "wajahatparvez99/ml-gradient-boosting-regressor", "kernel_id": "22611479"}, {"ref": "ethicsforall/exercise-model-validation", "kernel_id": "22353025"}, {"ref": "statiqqq/housing-with-categorical-variables-techniques", "kernel_id": "22441967"}, {"ref": "ehsandahesh/house-prices-gradient-boosting-top-5", "kernel_id": "22983919"}, {"ref": "ehsandahesh/regression-with-kerasregressor-house-prices", "kernel_id": "22819206"}, {"ref": "ehsandahesh/regression-with-extraregressor-house-prices", "kernel_id": "22823674"}, {"ref": "ehsandahesh/regression-with-randomforest-house-prices", "kernel_id": "22822981"}, {"ref": "malanperera/exercise-machine-learning-competitions", "kernel_id": "22468129"}, {"ref": "sumeetbohra/eda-outlierdetection-lightgbm-learningcurve", "kernel_id": "22958523"}, {"ref": "sumeetbohra/xgbregressor-with-randomizedsearchcv", "kernel_id": "22864044"}, {"ref": "sumeetbohra/complete-data-preprocessing-without-pipelines", "kernel_id": "22859315"}, {"ref": "uriahtsai/data-science-project-classification", "kernel_id": "22348269"}, {"ref": "melnykmaryna/exercise-machine-learning-competitions", "kernel_id": "22208728"}, {"ref": "greenfruit2/exercise-xgboost", "kernel_id": "22823169"}, {"ref": "mohamadrezaashori/housing-prices-competition", "kernel_id": "22267305"}, {"ref": "rizwandataanalyst/exercise-your-first-machine-learning-model", "kernel_id": "22617088"}, {"ref": "brellsanwouo/exercise-your-first-machine-learning-model", "kernel_id": "22256296"}, {"ref": "brellsanwouo/exercise-machine-learning-competitions", "kernel_id": "22389825"}, {"ref": "brellsanwouo/exercise-model-validation", "kernel_id": "22388512"}, {"ref": "brellsanwouo/exercise-random-forests", "kernel_id": "22389740"}, {"ref": "brellsanwouo/exercise-underfitting-and-overfitting", "kernel_id": "22389165"}, {"ref": "akafieva/exercise-pipelines", "kernel_id": "22586730"}, {"ref": "akafieva/exercise-machine-learning-competitions", "kernel_id": "22459043"}, {"ref": "akafieva/exercise-your-first-machine-learning-model", "kernel_id": "22337234"}, {"ref": "oscarachieng/notebook65fd57c420", "kernel_id": "22813265"}, {"ref": "brunocuryoliveira/exercise-your-first-machine-learning-model", "kernel_id": "22063048"}, {"ref": "cryptomeria/exercise-machine-learning-competitions", "kernel_id": "22072249"}, {"ref": "roy2004/housing-prices-competition-op-4", "kernel_id": "22746376"}, {"ref": "saidoudiallo1234/notebook3f0c04b4de", "kernel_id": "22065183"}, {"ref": "akankshapnegi/exercise-your-first-machine-learning-model", "kernel_id": "22697198"}, {"ref": "akankshapnegi/exercise-random-forests", "kernel_id": "22796864"}, {"ref": "akankshapnegi/notebook93d63bdff6", "kernel_id": "22737799"}, {"ref": "akankshapnegi/exercise-introduction", "kernel_id": "22843836"}, {"ref": "akankshapnegi/notebookcbb8f77eee", "kernel_id": "22820572"}, {"ref": "sanjaywankhede/exercise-machine-learning-competitions", "kernel_id": "23955510"}, {"ref": "utopiazh/home-data-autogluon", "kernel_id": "23533586"}, {"ref": "nancyalaswad90/study-exercise-first-machine-learning-model", "kernel_id": "23977091"}, {"ref": "saubhagyamaurya/exercise-model-validation", "kernel_id": "23932262"}, {"ref": "balajinandikolla/exercise-machine-learning-competitions", "kernel_id": "23936704"}, {"ref": "savanagrawal/exercise-machine-learning-competitions", "kernel_id": "23740567"}, {"ref": "akarshsharma/house-price-prediction-notebook", "kernel_id": "23584544"}, {"ref": "akarshsharma/housr-price-prediction", "kernel_id": "23595431"}, {"ref": "nikunjtiwari/exercise-data-leakage", "kernel_id": "23926706"}, {"ref": "mahmoudhassanmahmoud/house-price-regression-with-accuracy-86", "kernel_id": "23586966"}, {"ref": "thecraprapper/based-on-pipelines-from-intermediate-ml-course", "kernel_id": "23865835"}, {"ref": "aahilshaikh/home-prices-basic", "kernel_id": "23302157"}, {"ref": "michaelccc/exercise-model-validation", "kernel_id": "23909700"}, {"ref": "hritikchaturvedi/housing-price-prediction-eda-random-forest", "kernel_id": "23788723"}, {"ref": "shrikanthpv/exercise-machine-learning-competitions", "kernel_id": "23183943"}, {"ref": "abdullah3yad/pipeline-in-house-price-prediction", "kernel_id": "23049355"}, {"ref": "bryantjandra/exercise-categorical-variables", "kernel_id": "23009688"}, {"ref": "tahsinsayednihad/house-price-by-tf", "kernel_id": "23089013"}, {"ref": "scottteran/exercise-underfitting-and-overfitting", "kernel_id": "23682648"}, {"ref": "sameepvani/exploratory-data-analysis-house-price-prediction", "kernel_id": "23925755"}, {"ref": "gmkeshav/exercise-your-first-machine-learning-model", "kernel_id": "23726257"}, {"ref": "gmkeshav/exercise-model-validation", "kernel_id": "23935800"}, {"ref": "kanikakhatri/exercise-machine-learning-competitions", "kernel_id": "23592990"}, {"ref": "afzalmp40/exercise-machine-learning-competitions", "kernel_id": "23871832"}, {"ref": "islamnegm/exercise-machine-learning-competitions", "kernel_id": "23527598"}, {"ref": "sayankumar2002/exercise-missing-values", "kernel_id": "23476367"}, {"ref": "anaslargab/ghosh-rakhi-s-fixed-notebook", "kernel_id": "23676867"}, {"ref": "joshuaokolo/underfitting-and-overfitting", "kernel_id": "23572008"}, {"ref": "joshuaokolo/random-forests", "kernel_id": "23575357"}, {"ref": "joshuaokolo/model-validation", "kernel_id": "23417221"}, {"ref": "joshuaokolo/your-first-machine-learning-model", "kernel_id": "23396774"}, {"ref": "sumankumar2508/exercise-underfitting-and-overfitting", "kernel_id": "23409582"}, {"ref": "sumankumar2508/exercise-model-validation", "kernel_id": "23408983"}, {"ref": "sumankumar2508/exercise-your-first-machine-learning-model", "kernel_id": "23382394"}, {"ref": "babatundeibukun/exercise-categorical-variables", "kernel_id": "23489354"}, {"ref": "zephyrcff/exercise-machine-learning-competitions", "kernel_id": "23395754"}, {"ref": "zephyrcff/exercise-random-forests", "kernel_id": "23393137"}, {"ref": "zephyrcff/exercise-underfitting-and-overfitting", "kernel_id": "23393129"}, {"ref": "zephyrcff/exercise-model-validation", "kernel_id": "23334139"}, {"ref": "zephyrcff/exercise-your-first-machine-learning-model", "kernel_id": "23319918"}, {"ref": "clifforddeveloper/exercise-machine-learning-competitions", "kernel_id": "23610822"}, {"ref": "ananshaaa/exercise-model-validation", "kernel_id": "23876075"}, {"ref": "ananshaaa/exercise-your-first-machine-learning-model", "kernel_id": "23865682"}, {"ref": "aliibrahim522/exercise-model-validation", "kernel_id": "23990028"}, {"ref": "juju12/exercise-random-forests", "kernel_id": "23829406"}, {"ref": "chasset/intermediate-machine-learning-missing-values", "kernel_id": "24337770"}, {"ref": "chasset/intermediate-machine-learning-introduction", "kernel_id": "24336148"}, {"ref": "chasset/intermediate-machine-learningcategorical-variables", "kernel_id": "24358094"}, {"ref": "chasset/intermediate-machine-learning-pipelines", "kernel_id": "24359452"}, {"ref": "chasset/intermediate-machine-learning-cross-validation", "kernel_id": "24360031"}, {"ref": "chasset/intermediate-machine-learning-xgboost", "kernel_id": "24361370"}, {"ref": "chasset/intermediate-machine-learning-data-leakage", "kernel_id": "24362296"}, {"ref": "chasset/introduction-machine-learning-first-model", "kernel_id": "24315771"}, {"ref": "chasset/introduction-machine-learning-model-validation", "kernel_id": "24317519"}, {"ref": "chasset/introduction-ml-underfitting-and-overfitting", "kernel_id": "24317775"}, {"ref": "chasset/introduction-machine-learning-competitions", "kernel_id": "24318196"}, {"ref": "chasset/introduction-machine-learning-random-forests", "kernel_id": "24318052"}, {"ref": "prabhavanth/exercise-machine-learning-competitions", "kernel_id": "24108022"}, {"ref": "prabhavanth/exercise-model-validation", "kernel_id": "24107139"}, {"ref": "prabhavanth/exercise-underfitting-and-overfitting", "kernel_id": "24107604"}, {"ref": "parisrohan/exercise-categorical-variables", "kernel_id": "24734151"}, {"ref": "suraz11/exercise-categorical-variables", "kernel_id": "24693104"}, {"ref": "suraz11/exercise-missing-values", "kernel_id": "24691223"}, {"ref": "suraz11/exercise-pipelines", "kernel_id": "24721535"}, {"ref": "suraz11/exercise-cross-validation", "kernel_id": "24722229"}, {"ref": "suraz11/exercise-data-leakage", "kernel_id": "24785879"}, {"ref": "suraz11/exercise-xgboost", "kernel_id": "24755542"}, {"ref": "suraz11/exercise-introduction", "kernel_id": "24171612"}, {"ref": "suraz11/exercise-machine-learning-competitions", "kernel_id": "24169319"}, {"ref": "suraz11/exercise-model-validation", "kernel_id": "24112960"}, {"ref": "suraz11/exercise-underfitting-and-overfitting", "kernel_id": "24113125"}, {"ref": "suraz11/exercise-your-first-machine-learning-model", "kernel_id": "24112831"}, {"ref": "neerajkaroshi/exercise-xgboost", "kernel_id": "24570982"}, {"ref": "neerajkaroshi/exercise-pipelines", "kernel_id": "24291967"}, {"ref": "kigett/housing-price-advregression", "kernel_id": "24237816"}, {"ref": "vlsruthwik/exercise-machine-learning-competitions", "kernel_id": "24342337"}, {"ref": "arezoodahesh/pycaret-in-regression-case-house-price-prediction", "kernel_id": "24574159"}, {"ref": "ikirezi/exercise-underfitting-and-overfitting", "kernel_id": "24778460"}, {"ref": "nuranynovita/exercise-machine-learning-competitions", "kernel_id": "24633741"}, {"ref": "rumanhossain/exercise-machine-learning-competitions", "kernel_id": "24887815"}, {"ref": "mariamkotob/exercise-model-validation", "kernel_id": "24016044"}, {"ref": "neesham/xgboost-v-s-lightgbm", "kernel_id": "24241670"}, {"ref": "waqasqureshi/exercise-pipelines", "kernel_id": "24144549"}, {"ref": "jordanevan/exercise-missing-values", "kernel_id": "24498200"}, {"ref": "jordanevan/exercise-xgboost", "kernel_id": "24499850"}, {"ref": "jordanevan/exercise-pipelines", "kernel_id": "24578991"}, {"ref": "jordanevan/exercise-introduction", "kernel_id": "24399614"}, {"ref": "jordanevan/exercise-underfitting-and-overfitting", "kernel_id": "24399034"}, {"ref": "jordanevan/exercise-model-validation", "kernel_id": "24398755"}, {"ref": "jordanevan/exercise-your-first-machine-learning-model", "kernel_id": "24350195"}, {"ref": "sndorburian/exercise-underfitting-and-overfitting", "kernel_id": "24277816"}, {"ref": "dhruvvansrajrathore/prediction-of-price-using-randomforestregressor", "kernel_id": "24118348"}, {"ref": "guriwaraich/house-pricing-ml", "kernel_id": "24798379"}, {"ref": "tuanvqn/ml1-machine-learning-competitions", "kernel_id": "24882298"}, {"ref": "mahditavakol/housing-catboost", "kernel_id": "24627541"}, {"ref": "mahditavakol/housing-ensemble", "kernel_id": "24625697"}, {"ref": "mahditavakol/housing-neuralnetwork", "kernel_id": "24642442"}, {"ref": "koalaswelcome/preprocess-drop-columns", "kernel_id": "24903703"}, {"ref": "hamidmehdi/exercise-missing-values", "kernel_id": "24927083"}, {"ref": "hamidmehdi/exercise-categorical-variables", "kernel_id": "24929070"}, {"ref": "annibamwenda/exercise-machine-learning-competitions", "kernel_id": "24307731"}, {"ref": "mirach21/auto1-2018", "kernel_id": "24175814"}, {"ref": "tahimakhatun/exercise-your-first-machine-learning-model", "kernel_id": "24360975"}, {"ref": "tahimakhatun/exercise-machine-learning-competitions", "kernel_id": "24370469"}, {"ref": "tahimakhatun/exercise-underfitting-and-overfitting", "kernel_id": "24369209"}, {"ref": "tahimakhatun/exercise-model-validation", "kernel_id": "24368424"}, {"ref": "tahimakhatun/exercise-introduction", "kernel_id": "24371972"}, {"ref": "sujithasurendran/housing-price-prediction", "kernel_id": "24367609"}, {"ref": "xnjoseph/machine-learning-competitions-housing-prices", "kernel_id": "24039376"}, {"ref": "sameepvani/feature-selection-house-price-predictions", "kernel_id": "24326359"}, {"ref": "sameepvani/feature-engineering-house-price-prediction", "kernel_id": "24151476"}, {"ref": "gmkeshav/exercise-random-forests", "kernel_id": "24054578"}, {"ref": "asatbek/prediction-using-randomforestregressor", "kernel_id": "24102563"}, {"ref": "emediongusanga/exercise-your-first-machine-learning-model", "kernel_id": "24224300"}, {"ref": "funkeymonkey/exercise-model-validation", "kernel_id": "24388795"}, {"ref": "funkeymonkey/exercise-your-first-machine-learning-model", "kernel_id": "24388443"}, {"ref": "funkeymonkey/exercise-underfitting-and-overfitting", "kernel_id": "24389232"}, {"ref": "funkeymonkey/exercise-random-forests", "kernel_id": "24389340"}, {"ref": "funkeymonkey/exercise-machine-learning-competitions", "kernel_id": "24389421"}, {"ref": "funkeymonkey/exercise-cross-validation", "kernel_id": "24361432"}, {"ref": "funkeymonkey/exercise-xgboost", "kernel_id": "24362067"}, {"ref": "funkeymonkey/exercise-data-leakage", "kernel_id": "24362249"}, {"ref": "funkeymonkey/exercise-data-leakage-e94527", "kernel_id": "24362251"}, {"ref": "funkeymonkey/exercise-introduction", "kernel_id": "24336590"}, {"ref": "funkeymonkey/exercise-missing-values", "kernel_id": "24337023"}, {"ref": "funkeymonkey/exercise-categorical-variables", "kernel_id": "24338272"}, {"ref": "funkeymonkey/exercise-pipelines", "kernel_id": "24339021"}, {"ref": "daoudghassen/exercise-missing-values", "kernel_id": "24134688"}, {"ref": "daoudghassen/exercise-introduction", "kernel_id": "24133409"}, {"ref": "prabhashkumar11/first-submission", "kernel_id": "24103965"}, {"ref": "joshuaokolo/exercise-machine-learning-competitions", "kernel_id": "24008572"}, {"ref": "anishkumarbharti/exercise-categorical-variables", "kernel_id": "24788680"}, {"ref": "paulomarquies/hp-ml-kc-pycaret-blend", "kernel_id": "24827753"}, {"ref": "shambhavibishnoi/house-pricing", "kernel_id": "24213353"}, {"ref": "navnoorkaur/house-pricingg", "kernel_id": "24431917"}, {"ref": "sumitkumar2022/exercise-missing-values", "kernel_id": "24749630"}, {"ref": "hasratbrar/house-pricing", "kernel_id": "24237563"}, {"ref": "aishwarya2210/prediction-of-house-price", "kernel_id": "24039431"}, {"ref": "aishwarya2210/prediction-of-price-using-xgboost", "kernel_id": "24070712"}, {"ref": "anuradha13/exercise-machine-learning-competitions", "kernel_id": "24781264"}, {"ref": "kurehajime/housing-prices", "kernel_id": "24485470"}, {"ref": "nirelkakon/iowa-prices-nn-with-tuning-v1", "kernel_id": "24270161"}, {"ref": "sigallechno/exercise-categorical-variables", "kernel_id": "24293320"}, {"ref": "praweenkr01/exercise-missing-values", "kernel_id": "24106067"}, {"ref": "praweenkr01/exercise-introduction", "kernel_id": "24062748"}, {"ref": "ushagrewal/exercise-machine-learning-competitions", "kernel_id": "24958731"}, {"ref": "muskansalmani/exercise-house-price-prediction", "kernel_id": "24299249"}, {"ref": "bobrokerson/exercise-your-first-machine-learning-model", "kernel_id": "24760882"}, {"ref": "jacealan/exercise-categorical-variables", "kernel_id": "24510353"}, {"ref": "belkacemghaith/exercise-cross-validation", "kernel_id": "24874234"}, {"ref": "belkacemghaith/exercise-pipelines", "kernel_id": "24872883"}, {"ref": "belkacemghaith/exercise-missing-values", "kernel_id": "24596259"}, {"ref": "udaykgl/exercise-machine-learning-competitions", "kernel_id": "24519538"}, {"ref": "alejandroerestrepo/categorical-variables-intermediate-ml-session-3", "kernel_id": "24858976"}, {"ref": "hpploool/exercise-categorical-variables", "kernel_id": "24858679"}, {"ref": "gislainevieira/exercise-machine-learning-competitions", "kernel_id": "24709184"}, {"ref": "johncabraham/exercise-your-first-machine-learning-model", "kernel_id": "24772704"}, {"ref": "johncabraham/exercise-model-validation", "kernel_id": "24784697"}, {"ref": "johncabraham/exercise-underfitting-and-overfitting", "kernel_id": "24856999"}, {"ref": "johncabraham/exercise-random-forests", "kernel_id": "24857295"}, {"ref": "grimfish/exercise-your-first-machine-learning-model", "kernel_id": "24908865"}, {"ref": "grimfish/exercise-model-validation", "kernel_id": "24909773"}, {"ref": "grimfish/exercise-underfitting-and-overfitting", "kernel_id": "24920799"}, {"ref": "grimfish/exercise-random-forests", "kernel_id": "24927551"}, {"ref": "mingzetoast/house-price-machine-smarter", "kernel_id": "25979701"}, {"ref": "taranmarley/automl-from-scratch-6", "kernel_id": "25711882"}, {"ref": "taranmarley/automl-from-scratch-3", "kernel_id": "25442560"}, {"ref": "tilinaalzaben/exercise-your-first-machine-learning-model", "kernel_id": "25408452"}, {"ref": "tilinaalzaben/exercise-model-validation", "kernel_id": "25410033"}, {"ref": "tilinaalzaben/exercise-underfitting-and-overfitting", "kernel_id": "25410361"}, {"ref": "kyuhwanjung2/housing-prices-for-ss", "kernel_id": "25984894"}, {"ref": "rocklen/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "25046308"}, {"ref": "marcia0399/exercise-machine-learning-competitions", "kernel_id": "25191399"}, {"ref": "oishikg/exercise-pipelines", "kernel_id": "25384531"}, {"ref": "shreyassarda/26032023", "kernel_id": "25049676"}, {"ref": "shreyassarda/feature-reduction-using-pca", "kernel_id": "25461911"}, {"ref": "skyecai/exercise-underfitting-and-overfitting", "kernel_id": "25096334"}, {"ref": "skyecai/exercise-your-first-machine-learning-model", "kernel_id": "25088160"}, {"ref": "skyecai/exercise-model-validation", "kernel_id": "25089203"}, {"ref": "skyecai/exercise-random-forests", "kernel_id": "25112124"}, {"ref": "skyecai/exercise-categorical-variables", "kernel_id": "25184077"}, {"ref": "skyecai/exercise-introduction", "kernel_id": "25156208"}, {"ref": "skyecai/exercise-missing-values", "kernel_id": "25174647"}, {"ref": "hudaahmedabdalmajeed/exercise-your-first-machine-learning-model", "kernel_id": "25127419"}, {"ref": "hudaahmedabdalmajeed/exercise-model-validation", "kernel_id": "25164529"}, {"ref": "newbomi/housing-prices-competition-c", "kernel_id": "25786775"}, {"ref": "andrecrea/exercise-machine-learning-competitions-v2", "kernel_id": "25297341"}, {"ref": "rayansheikh121/simple-linear-regression", "kernel_id": "25352128"}, {"ref": "koalaswelcome/all-around-the-houses", "kernel_id": "25287961"}, {"ref": "koalaswelcome/all-around-the-houses-2", "kernel_id": "25325549"}, {"ref": "koalaswelcome/xgbregressor-and-gridsearchcv-nopipeline", "kernel_id": "25147195"}, {"ref": "koalaswelcome/reducing-the-dataset-size-no-bad-correlations", "kernel_id": "25214966"}, {"ref": "koalaswelcome/reducing-the-dataset-size-part-2", "kernel_id": "25264196"}, {"ref": "koalaswelcome/house-prices-experiment-4-xgboost-pipeline", "kernel_id": "25126064"}, {"ref": "koalaswelcome/house-prices-experiment-2", "kernel_id": "25078141"}, {"ref": "koalaswelcome/house-prices-experiment-3-xgboost-nopipeline", "kernel_id": "25102401"}, {"ref": "koalaswelcome/house-prices-experiment-1", "kernel_id": "25022380"}, {"ref": "manishyadav51/exercise-machine-learning-competitions", "kernel_id": "25286706"}, {"ref": "albyalbyalby/exercise-your-first-machine-learning-model", "kernel_id": "25109757"}, {"ref": "luisenrique18/exercise-machine-learning-competitions", "kernel_id": "25215492"}, {"ref": "brellsanwouo/exercise-introduction", "kernel_id": "25153905"}, {"ref": "ravisumanthmuppana/exercise-machine-learning-competitions", "kernel_id": "25039106"}, {"ref": "callmeds/exercise-model-validation", "kernel_id": "25546002"}, {"ref": "callmeds/exercise-your-first-machine-learning-model", "kernel_id": "25545145"}, {"ref": "imagimaniac/exercise-your-first-machine-learning-model", "kernel_id": "25015499"}, {"ref": "anuska23/exercise-machine-learning-competitions", "kernel_id": "25295895"}, {"ref": "andreytyurin/exercise-machine-learning-competitions", "kernel_id": "25307075"}, {"ref": "andreytyurin/exercise-underfitting-and-overfitting", "kernel_id": "25306982"}, {"ref": "ksavleen/house-price-prediction-pipeline", "kernel_id": "25276639"}, {"ref": "irishezseltine/practicing-all-i-have-learned-so-far", "kernel_id": "25354772"}, {"ref": "jzhang233/exercise-machine-learning-competitions", "kernel_id": "25227040"}, {"ref": "shandiemikolus/exercise-machine-learning-competitions", "kernel_id": "25050236"}, {"ref": "oumaymalahmer/exercise-your-first-machine-learning-model", "kernel_id": "25950897"}, {"ref": "amyhewitt/exercise-missing-values", "kernel_id": "25258815"}, {"ref": "lucasmader/housing-prices-prediction", "kernel_id": "25213070"}, {"ref": "ericlesmiller/exercise-machine-learning-competitions", "kernel_id": "25604050"}, {"ref": "sahinemin/exercise-model-validation", "kernel_id": "25370363"}, {"ref": "sahinemin/exercise-your-first-machine-learning-model", "kernel_id": "25369310"}, {"ref": "sahinemin/exercise-random-forests", "kernel_id": "25372885"}, {"ref": "pkthufail/a-top-1-approach-to-house-price-prediction", "kernel_id": "26339437"}, {"ref": "nrifdatun/housing-prices-model-learning", "kernel_id": "26934049"}, {"ref": "java86/exercise-machine-learning-competitions", "kernel_id": "26875071"}, {"ref": "parisrohan/rp-housepriceprediction-wip", "kernel_id": "26315745"}, {"ref": "taruntkt/exercise-machine-learning-competitions", "kernel_id": "26816340"}, {"ref": "evelynsierra/exercise-model-validation", "kernel_id": "26165324"}, {"ref": "antoniograsso/exercise-missing-values", "kernel_id": "26460595"}, {"ref": "ahmedjava/linearregrission", "kernel_id": "26220321"}, {"ref": "architkuiya/exercise-machine-learning-competitions", "kernel_id": "26498971"}, {"ref": "satakshigupta/exercise-your-first-machine-learning-model", "kernel_id": "26577620"}, {"ref": "satakshigupta/exercise-model-validation-practice", "kernel_id": "26741791"}, {"ref": "charles01dev/exercise-missing-values", "kernel_id": "26595962"}, {"ref": "charles01dev/exercise-introduction", "kernel_id": "26568363"}, {"ref": "charles01dev/exercise-machine-learning-competitions", "kernel_id": "26359326"}, {"ref": "charles01dev/exercise-your-first-machine-learning-model", "kernel_id": "26232492"}, {"ref": "charles01dev/exercise-pipelines", "kernel_id": "26789814"}, {"ref": "mariamkotob/exercise-underfitting-and-overfitting", "kernel_id": "26296420"}, {"ref": "maxreis/let-desafio-4", "kernel_id": "26912851"}, {"ref": "anonnosingharay/exercise-machine-learning-competitions", "kernel_id": "26367711"}, {"ref": "shrooqabuawaily/exercise-machine-learning-competitions", "kernel_id": "26076387"}, {"ref": "ngwise/exercise-model-validation", "kernel_id": "26218625"}, {"ref": "wajidengg/exercise-missing-values", "kernel_id": "26127539"}, {"ref": "shehbazraxa/exercise-machine-learning-competitions", "kernel_id": "26935413"}, {"ref": "shehbazraxa/exercise-your-first-machine-learning-model", "kernel_id": "26935181"}, {"ref": "mohammadrezahs/exercise-model-validation", "kernel_id": "26694992"}, {"ref": "ravi3507/exercise-machine-learning-competitions", "kernel_id": "26562481"}, {"ref": "thaynanff/predicting-housing-prices", "kernel_id": "26488261"}, {"ref": "molomunyansanga/exercise-machine-learning-competitions", "kernel_id": "26732597"}, {"ref": "aquibsiddiqui/exercise-missing-values", "kernel_id": "26709784"}, {"ref": "aquibsiddiqui/exercise-introduction", "kernel_id": "26709297"}, {"ref": "abdulaminafridi/exercise-machine-learning-competitions", "kernel_id": "26059497"}, {"ref": "leneth/exercise-machine-learning-competitions", "kernel_id": "26857650"}, {"ref": "harshitkmr/simple-xgboost", "kernel_id": "26515527"}, {"ref": "novikovandrii/houses-pricing-competition", "kernel_id": "26304975"}, {"ref": "emmanuelmutegi/exercise-categorical-variables", "kernel_id": "26392243"}, {"ref": "farizrahmansulaeman/exercise-machine-learning-competitions", "kernel_id": "26080088"}, {"ref": "lucaspimeentel/housing-prices-prediction-5-solution", "kernel_id": "26341074"}, {"ref": "miguelangelcaycedo/exercise-machine-learning-competitions", "kernel_id": "26707485"}, {"ref": "sahinemin/exercise-pipelines", "kernel_id": "26207247"}, {"ref": "aadityaranacoder/exercise-your-first-machine-learning-model", "kernel_id": "26334201"}, {"ref": "aadityaranacoder/exercise-underfitting-and-overfitting", "kernel_id": "26364528"}, {"ref": "chewziqing/exercise-your-first-machine-learning-model", "kernel_id": "26760068"}, {"ref": "chewziqing/exercise-model-validation", "kernel_id": "26760898"}, {"ref": "chewziqing/exercise-underfitting-and-overfitting", "kernel_id": "26761799"}, {"ref": "chewziqing/exercise-random-forests", "kernel_id": "26762703"}, {"ref": "chewziqing/exercise-machine-learning-competitions", "kernel_id": "26762808"}, {"ref": "przemyslawlabun/exercise-your-first-machine-learning-model", "kernel_id": "26308633"}, {"ref": "przemyslawlabun/exercise-model-validation", "kernel_id": "26308955"}, {"ref": "przemyslawlabun/exercise-underfitting-and-overfitting", "kernel_id": "26309356"}, {"ref": "przemyslawlabun/exercise-random-forests", "kernel_id": "26309790"}, {"ref": "przemyslawlabun/exercise-missing-values", "kernel_id": "26374929"}, {"ref": "przemyslawlabun/exercise-categorical-variables", "kernel_id": "26374930"}, {"ref": "przemyslawlabun/exercise-pipelines", "kernel_id": "26374931"}, {"ref": "przemyslawlabun/exercise-cross-validation", "kernel_id": "26374932"}, {"ref": "przemyslawlabun/exercise-xgboost", "kernel_id": "26374933"}, {"ref": "przemyslawlabun/exercise-data-leakage", "kernel_id": "26374934"}, {"ref": "pedrolargacha/exercise-machine-learning-competitions", "kernel_id": "26485832"}, {"ref": "ramazanaydnl/exercise-cross-validation", "kernel_id": "26696322"}, {"ref": "ramazanaydnl/exercise-categorical-variables", "kernel_id": "26678776"}, {"ref": "ramazanaydnl/exercise-pipelines", "kernel_id": "26694696"}, {"ref": "ramazanaydnl/exercise-introduction", "kernel_id": "26666693"}, {"ref": "ramazanaydnl/exercise-missing-values", "kernel_id": "26667177"}, {"ref": "ramazanaydnl/exercise-model-validation", "kernel_id": "26638626"}, {"ref": "ramazanaydnl/exercise-underfitting-and-overfitting", "kernel_id": "26641423"}, {"ref": "ramazanaydnl/exercise-machine-learning-competitions", "kernel_id": "26643345"}, {"ref": "ramazanaydnl/exercise-random-forests", "kernel_id": "26643231"}, {"ref": "ramazanaydnl/exercise-your-first-machine-learning-model", "kernel_id": "26620871"}, {"ref": "mansibhardwaj71/exercise-machine-learning-competitions", "kernel_id": "26738142"}, {"ref": "pragatikhandelwal/exercise-machine-learning-competitions", "kernel_id": "26850847"}, {"ref": "stephanieyflu/exercise-machine-learning-competitions", "kernel_id": "26773768"}, {"ref": "hongseoi/intro-to-machine-learning-1-how-models-work", "kernel_id": "26892116"}, {"ref": "hongseoi/basic-data-exploration", "kernel_id": "26965841"}, {"ref": "wickramasinghe/exercise-machine-learning-competitions", "kernel_id": "27258157"}, {"ref": "rodrigostallsikora/3rd-attempt", "kernel_id": "27887048"}, {"ref": "haridasabr/exercise-underfitting-and-overfitting", "kernel_id": "27119863"}, {"ref": "vivekfifa/exercise-introduction", "kernel_id": "27396778"}, {"ref": "evakmli/top-8-housing-prices-competition-for-beginner", "kernel_id": "27977038"}, {"ref": "priyanshuagwl/exercise-cross-validation", "kernel_id": "27130428"}, {"ref": "priyanshuagwl/exercise-xgboost", "kernel_id": "27132824"}, {"ref": "wojteksy/housing-prices-pipelines-custom-transformer", "kernel_id": "27890472"}, {"ref": "fern27/exercise-categorical-variables", "kernel_id": "27835091"}, {"ref": "ramakantvaidya12/exercise-underfitting-and-overfitting", "kernel_id": "27494756"}, {"ref": "kbelbase21/housing-price-prediction", "kernel_id": "27345433"}, {"ref": "aleksandrsahkanevich/16-machine-learning-competitions", "kernel_id": "27102922"}, {"ref": "beren01/6-june-2022-exercise-random-forests", "kernel_id": "27702280"}, {"ref": "beren01/8-jun-2022-exercise-machine-learning-competitions", "kernel_id": "27761374"}, {"ref": "mahendrasinghrajpoot/exercise-introduction", "kernel_id": "27646320"}, {"ref": "cormactaylor/final-product-cormac-taylor", "kernel_id": "27629849"}, {"ref": "dev122/categorical-variables", "kernel_id": "27220941"}, {"ref": "daliasarhan/exercise-machine-learning-competitions", "kernel_id": "27777640"}, {"ref": "ronitkumar21121125/exercise-introduction", "kernel_id": "27673106"}, {"ref": "sameepvani/model-selection-pycaret-house-price-prediction", "kernel_id": "27611820"}, {"ref": "alaaeldinmanse/exercise-machine-learning-competitions", "kernel_id": "27502953"}, {"ref": "alaaeldinmanse/exercise-random-forests", "kernel_id": "27502795"}, {"ref": "alaaeldinmanse/exercise-missing-values", "kernel_id": "27595371"}, {"ref": "alaaeldinmanse/exercise-underfitting-and-overfitting", "kernel_id": "27477557"}, {"ref": "alaaeldinmanse/exercise-your-first-machine-learning-model", "kernel_id": "27442916"}, {"ref": "alaaeldinmanse/exercise-model-validation", "kernel_id": "27457747"}, {"ref": "alaaeldinmanse/exercise-categorical-variables", "kernel_id": "27709072"}, {"ref": "alaaeldinmanse/exercise-pipelines", "kernel_id": "27759366"}, {"ref": "alaaeldinmanse/exercise-cross-validation", "kernel_id": "27879527"}, {"ref": "alaaeldinmanse/exercise-data-leakage", "kernel_id": "27987642"}, {"ref": "alaaeldinmanse/exercise-xgboost", "kernel_id": "27926249"}, {"ref": "mohammadrezahs/exercise-random-forests", "kernel_id": "27425567"}, {"ref": "mostafarefaatm/exercise-cross-validation", "kernel_id": "27945446"}, {"ref": "abdelazizelsawy/exercise-machine-learning-competitions", "kernel_id": "27809687"}, {"ref": "adityabhaumik/exercise-machine-learning-competitions", "kernel_id": "27133018"}, {"ref": "spondonhaider/exercise-machine-learning-competitions", "kernel_id": "27979734"}, {"ref": "fahdashraf/exercise-data-leakage", "kernel_id": "27870569"}, {"ref": "fahdashraf/exercise-xgboost", "kernel_id": "27869944"}, {"ref": "fahdashraf/exercise-missing-values", "kernel_id": "27852494"}, {"ref": "fahdashraf/exercise-categorical-variables", "kernel_id": "27853413"}, {"ref": "fahdashraf/exercise-pipelines", "kernel_id": "27856761"}, {"ref": "fahdashraf/exercise-cross-validation", "kernel_id": "27857028"}, {"ref": "fahdashraf/exercise-introduction", "kernel_id": "27846102"}, {"ref": "fahdashraf/exercise-model-validation", "kernel_id": "27844610"}, {"ref": "fahdashraf/exercise-your-first-machine-learning-model", "kernel_id": "27844155"}, {"ref": "fahdashraf/exercise-random-forests", "kernel_id": "27845906"}, {"ref": "fahdashraf/exercise-machine-learning-competitions", "kernel_id": "27846020"}, {"ref": "fahdashraf/exercise-underfitting-and-overfitting", "kernel_id": "27845194"}, {"ref": "frankschindler1/house-price-competition-w-xgb-top-5", "kernel_id": "27434147"}, {"ref": "peacemaddox/exercise-machine-learning-competitions", "kernel_id": "27861123"}, {"ref": "yassinefadel/exercise-random-forests", "kernel_id": "27862538"}, {"ref": "diptobiswas777/exercise-introduction", "kernel_id": "27129680"}, {"ref": "ahmedali058/exercise-random-forests", "kernel_id": "27962503"}, {"ref": "ahmedali058/exercise-your-first-machine-learning-model", "kernel_id": "27960623"}, {"ref": "ahmedali058/exercise-model-validation", "kernel_id": "27961404"}, {"ref": "ahmedhany590/exercise-categorical-variables", "kernel_id": "27781862"}, {"ref": "thomasam7/exercise-machine-learning-competitions", "kernel_id": "27379483"}, {"ref": "munazzzasadaf/exercise-random-forests", "kernel_id": "27591394"}, {"ref": "munazzzasadaf/exercise-machine-learning-competitions", "kernel_id": "27591556"}, {"ref": "munazzzasadaf/exercise-underfitting-and-overfitting", "kernel_id": "27591128"}, {"ref": "munazzzasadaf/exercise-model-validation", "kernel_id": "27586415"}, {"ref": "munazzzasadaf/exercise-your-first-machine-learning-model", "kernel_id": "27585895"}, {"ref": "awesomesauce1504/exercise-machine-learning-competitions", "kernel_id": "27112681"}, {"ref": "hongseoi/model-validation", "kernel_id": "27098515"}, {"ref": "hongseoi/your-first-machine-learning-model", "kernel_id": "27028273"}, {"ref": "kumarvivek06/exercise-introduction", "kernel_id": "27388099"}, {"ref": "kennethnguyen816/exercise-pipelines", "kernel_id": "27915714"}, {"ref": "nagakiranreddy/pipelines-for-cleaner-code", "kernel_id": "27804502"}, {"ref": "nicholasyan342/exercise-machine-learning-competitions", "kernel_id": "27278957"}, {"ref": "namkunkim/exercise-machine-learning-competitions", "kernel_id": "27374226"}, {"ref": "gordon123445/exercise-machine-learning-competitions", "kernel_id": "27340469"}, {"ref": "ramanparmar/exercise-machine-learning-competitions", "kernel_id": "27437169"}, {"ref": "hatoko/exercise-machine-learning-competitions", "kernel_id": "27343808"}, {"ref": "saiteja38/exercise-machine-learning-competitions", "kernel_id": "27901949"}, {"ref": "saiteja38/exercise-your-first-machine-learning-model", "kernel_id": "27897326"}, {"ref": "bluefire4590/exercise-machine-learning-competitions", "kernel_id": "27415617"}, {"ref": "eltonzhen/exercise-machine-learning-competitions", "kernel_id": "27377621"}, {"ref": "duncanliang123/exercise-machine-learning-competitions", "kernel_id": "27378899"}, {"ref": "chimychum/exercise-machine-learning-competitions", "kernel_id": "27381203"}, {"ref": "suniltelang/exercise-your-first-machine-learning-model", "kernel_id": "27419740"}, {"ref": "mohammedaamirahmed/exercise-your-first-machine-learning-model", "kernel_id": "27759905"}, {"ref": "mohammedaamirahmed/exercise-machine-learning-competitions", "kernel_id": "27784191"}, {"ref": "christopherlopez5410/exercise-machine-learning-competitions", "kernel_id": "27940770"}, {"ref": "dinoc333283/exercise-missing-values", "kernel_id": "28472127"}, {"ref": "xiefei/exercise-your-first-machine-learning-model", "kernel_id": "28736192"}, {"ref": "xiefei/exercise-model-validation", "kernel_id": "28741429"}, {"ref": "xiefei/exercise-underfitting-and-overfitting", "kernel_id": "28741824"}, {"ref": "xiefei/exercise-random-forests", "kernel_id": "28743808"}, {"ref": "xiefei/exercise-machine-learning-competitions", "kernel_id": "28750477"}, {"ref": "xiefei/exercise-cross-validation", "kernel_id": "28801419"}, {"ref": "xiefei/exercise-xgboost", "kernel_id": "28801974"}, {"ref": "xiefei/exercise-data-leakage", "kernel_id": "28802306"}, {"ref": "xiefei/exercise-introduction", "kernel_id": "28783904"}, {"ref": "xiefei/exercise-missing-values", "kernel_id": "28784289"}, {"ref": "xiefei/exercise-categorical-variables", "kernel_id": "28799616"}, {"ref": "xiefei/exercise-pipelines", "kernel_id": "28800080"}, {"ref": "xiefei/3-1how-models-work", "kernel_id": "28918909"}, {"ref": "xiefei/3-2basic-data-exploration", "kernel_id": "28919622"}, {"ref": "xiefei/3-3-your-first-machine-learning-model", "kernel_id": "28920171"}, {"ref": "xiefei/3-4model-validation", "kernel_id": "28921400"}, {"ref": "xiefei/5-5cross-validation", "kernel_id": "28929486"}, {"ref": "xiefei/5-6xgboost", "kernel_id": "28930134"}, {"ref": "xiefei/3-5-underfitting-and-overfitting", "kernel_id": "28925658"}, {"ref": "xiefei/3-6random-forests", "kernel_id": "28925993"}, {"ref": "xiefei/5-1introduction", "kernel_id": "28927492"}, {"ref": "xiefei/5-2missing-values", "kernel_id": "28927659"}, {"ref": "xiefei/5-3categorical-variables", "kernel_id": "28928111"}, {"ref": "xiefei/5-4pipelines", "kernel_id": "28928947"}, {"ref": "afizing/exercise-underfitting-and-overfitting", "kernel_id": "28340602"}, {"ref": "afizing/exercise-machine-learning-competitions-5148c2", "kernel_id": "28859474"}, {"ref": "wwayne/house-prediction", "kernel_id": "28919132"}, {"ref": "mauriciofigueiredo/introdu-o-ao-ml-regress-o", "kernel_id": "28189828"}, {"ref": "samu2505/saleprice-prediction-trial-run", "kernel_id": "28953694"}, {"ref": "hfuxelius/exercise-machine-learning-competitions", "kernel_id": "28153233"}, {"ref": "ahmadmehraby/add-important-features", "kernel_id": "28821829"}, {"ref": "ahmadmehraby/add-new-features", "kernel_id": "28859516"}, {"ref": "ahmadmehraby/mi-outlier", "kernel_id": "28989384"}, {"ref": "fredmarlton/exercise-machine-learning-competitions", "kernel_id": "28469816"}, {"ref": "fredmarlton/exercise-random-forests", "kernel_id": "28466751"}, {"ref": "fredmarlton/exercise-underfitting-and-overfitting", "kernel_id": "28466463"}, {"ref": "fredmarlton/exercise-your-first-machine-learning-model", "kernel_id": "28444932"}, {"ref": "fredmarlton/exercise-model-validation", "kernel_id": "28445348"}, {"ref": "fredmarlton/exercise-categorical-variables", "kernel_id": "28521846"}, {"ref": "fredmarlton/exercise-cross-validation", "kernel_id": "28526413"}, {"ref": "fredmarlton/exercise-pipelines", "kernel_id": "28526177"}, {"ref": "fredmarlton/exercise-data-leakage", "kernel_id": "28528794"}, {"ref": "fredmarlton/exercise-xgboost", "kernel_id": "28527422"}, {"ref": "fredmarlton/exercise-missing-values", "kernel_id": "28499781"}, {"ref": "fredmarlton/exercise-introduction", "kernel_id": "28475672"}, {"ref": "mumeryasin/exercise-random-forests", "kernel_id": "28456390"}, {"ref": "mumeryasin/exercise-underfitting-and-overfitting", "kernel_id": "28456137"}, {"ref": "mumeryasin/exercise-machine-learning-competitions", "kernel_id": "28456593"}, {"ref": "mumeryasin/exercise-your-first-machine-learning-model", "kernel_id": "28414258"}, {"ref": "mumeryasin/exercise-model-validation", "kernel_id": "28414481"}, {"ref": "devkotak/exercise-introduction", "kernel_id": "28032593"}, {"ref": "raihansikdar/exercise-machine-learning-competitions", "kernel_id": "28362386"}, {"ref": "mahnoorrana/exercise-introduction", "kernel_id": "28960358"}, {"ref": "mahnoorrana/exercise-categorical-variables", "kernel_id": "28964658"}, {"ref": "mahnoorrana/exercise-missing-values", "kernel_id": "28963842"}, {"ref": "mahnoorrana/exercise-random-forests", "kernel_id": "28957885"}, {"ref": "mahnoorrana/exercise-machine-learning-competitions", "kernel_id": "28958454"}, {"ref": "mahnoorrana/exercise-pipelines", "kernel_id": "28979869"}, {"ref": "mahnoorrana/exercise-cross-validation", "kernel_id": "28980652"}, {"ref": "mahnoorrana/exercise-xgboost", "kernel_id": "28983062"}, {"ref": "mahnoorrana/exercise-data-leakage", "kernel_id": "28984899"}, {"ref": "mahnoorrana/exercise-your-first-machine-learning-model", "kernel_id": "28934178"}, {"ref": "mahnoorrana/exercise-underfitting-and-overfitting", "kernel_id": "28946814"}, {"ref": "mahnoorrana/exercise-model-validation", "kernel_id": "28945834"}, {"ref": "skyecai/exercise-cross-validation", "kernel_id": "28662767"}, {"ref": "skyecai/exercise-xgboost", "kernel_id": "28673254"}, {"ref": "skyecai/house-prices-prediction-eda-ml-model-xgboost", "kernel_id": "28702900"}, {"ref": "beren01/exercise-categorical-variables", "kernel_id": "28335378"}, {"ref": "beren01/introduction-intermediate-ml-course", "kernel_id": "28123819"}, {"ref": "beren01/intermediate-ml-missing-values", "kernel_id": "28274951"}, {"ref": "tirendazacademy/housing-prices-prediction-with-random-forest", "kernel_id": "28953631"}, {"ref": "harshlakhani/exercise-categorical-variables", "kernel_id": "28525937"}, {"ref": "sujvalrai/housing-price-prediction", "kernel_id": "28776771"}, {"ref": "mitsutoshihamada/housing-prices", "kernel_id": "28128090"}, {"ref": "mkaustubh/exercise-machine-learning-competitions", "kernel_id": "28923307"}, {"ref": "param302/house-price-prediction-12", "kernel_id": "28360835"}, {"ref": "param302/house-price-prediction-13", "kernel_id": "28357247"}, {"ref": "param302/house-price-prediction-v1", "kernel_id": "28158349"}, {"ref": "param302/exercise-your-first-machine-learning-model", "kernel_id": "28153326"}, {"ref": "param302/exercise-model-validation", "kernel_id": "28153854"}, {"ref": "param302/exercise-underfitting-and-overfitting", "kernel_id": "28154660"}, {"ref": "param302/exercise-random-forests", "kernel_id": "28155062"}, {"ref": "param302/exercise-machine-learning-competitions", "kernel_id": "28155154"}, {"ref": "param302/exercise-cross-validation", "kernel_id": "28215288"}, {"ref": "param302/exercise-xgboost", "kernel_id": "28215816"}, {"ref": "param302/exercise-data-leakage", "kernel_id": "28217227"}, {"ref": "param302/exercise-pipelines", "kernel_id": "28213155"}, {"ref": "param302/house-price-prediction-6", "kernel_id": "28219028"}, {"ref": "param302/house-price-prediction-8", "kernel_id": "28239551"}, {"ref": "param302/house-price-prediction-7", "kernel_id": "28231804"}, {"ref": "param302/exercise-categorical-variables", "kernel_id": "28186895"}, {"ref": "param302/exercise-missing-values", "kernel_id": "28184582"}, {"ref": "param302/exercise-introduction", "kernel_id": "28183759"}, {"ref": "param302/house-price-prediction-5", "kernel_id": "28209090"}, {"ref": "param302/house-price-prediction-11", "kernel_id": "28313512"}, {"ref": "param302/house-price-prediction-10", "kernel_id": "28261306"}, {"ref": "param302/house-price-prediction-9", "kernel_id": "28250600"}, {"ref": "jacksparrow9/exercise-machine-learning-competitions", "kernel_id": "28128958"}, {"ref": "lazer999/top-1-housing-price-eda-random-for-everyone", "kernel_id": "28628931"}, {"ref": "marwandiab/housing-prices", "kernel_id": "28646175"}, {"ref": "niteshk97/exercise-introduction", "kernel_id": "28858126"}, {"ref": "zygimantasmarma/basic-house-price-prediction", "kernel_id": "28216744"}, {"ref": "victorojedap/exercise-machine-learning-competitions", "kernel_id": "28162363"}, {"ref": "victorojedap/exercise-missing-values", "kernel_id": "28649740"}, {"ref": "ahmedatefazzam/exercise-cross-validation", "kernel_id": "28466046"}, {"ref": "ahmedatefazzam/exercise-xgboost", "kernel_id": "28466095"}, {"ref": "ahmedatefazzam/exercise-data-leakage", "kernel_id": "28466135"}, {"ref": "mramzanali/exercise-machine-learning-competitions", "kernel_id": "28646037"}, {"ref": "chandravanshishubham/exercise-pipelines", "kernel_id": "28732389"}, {"ref": "nirmalsankalana/housing-price-analyse", "kernel_id": "28239539"}, {"ref": "paulmaitre/housing-sales-pm", "kernel_id": "28213956"}, {"ref": "ankitaarvinddeshmukh/exercise-machine-learning-competitions", "kernel_id": "28373508"}, {"ref": "ksawyou/exercise-your-first-machine-learning-model", "kernel_id": "28993468"}, {"ref": "zacksnyde129/house-pipelines", "kernel_id": "28934536"}, {"ref": "zacksnyde129/exercise-cross-validation", "kernel_id": "28934773"}, {"ref": "zacksnyde129/missing-values", "kernel_id": "28919015"}, {"ref": "dmitrijgerok/focus-on-features-engineering-top-1", "kernel_id": "28350403"}, {"ref": "ramiashraf/exercise-machine-learning-house-price", "kernel_id": "28835780"}, {"ref": "akinyemiakeem/exercise-introduction", "kernel_id": "28405706"}, {"ref": "psarathic/first-machine-learning-model", "kernel_id": "28184780"}, {"ref": "psarathic/model-validation", "kernel_id": "28256440"}, {"ref": "psarathic/underfitting-and-overfitting-a-m-l-model", "kernel_id": "28282061"}, {"ref": "psarathic/random-forest", "kernel_id": "28282877"}, {"ref": "salawujoseph/exercise-machine-learning-competitions", "kernel_id": "28906970"}, {"ref": "theostowell/exercise-random-forests", "kernel_id": "28677284"}, {"ref": "theostowell/exercise-machine-learning-competitions", "kernel_id": "28677430"}, {"ref": "usamabalochhh/eda-xgbregressor-good-accuracy-with-explanation", "kernel_id": "28935752"}, {"ref": "ndohmoise/exercise-xgboost", "kernel_id": "28584996"}, {"ref": "ndohmoise/exercise-pipelines", "kernel_id": "28584269"}, {"ref": "ndohmoise/exercise-machine-learning-competitions", "kernel_id": "28534667"}, {"ref": "ndohmoise/exercise-your-first-machine-learning-model", "kernel_id": "28428712"}, {"ref": "mirfanazam/azam-realtor-advanced", "kernel_id": "28298453"}, {"ref": "mirfanazam/exercise-machine-learning-competitions", "kernel_id": "28262301"}, {"ref": "mirfanazam/study-ml-random-forests", "kernel_id": "28261288"}, {"ref": "mirfanazam/study-ml-underfitting-and-overfitting", "kernel_id": "28260304"}, {"ref": "mirfanazam/study-ml-model-validation", "kernel_id": "28258995"}, {"ref": "mirfanazam/study-ml-your-first-machine-learning-model", "kernel_id": "28230086"}, {"ref": "mirfanazam/azam-realtor-basic", "kernel_id": "28239133"}, {"ref": "alrafikri/regression-housing-price-prediction-top-5", "kernel_id": "28387539"}, {"ref": "rafeymasood/exercise-data-leakage", "kernel_id": "28196646"}, {"ref": "rafeymasood/exercise-model-validation", "kernel_id": "28018872"}, {"ref": "rafeymasood/exercise-underfitting-and-overfitting", "kernel_id": "28022268"}, {"ref": "rafeymasood/exercise-random-forests", "kernel_id": "28024162"}, {"ref": "rafeymasood/exercise-machine-learning-competitions", "kernel_id": "28024303"}, {"ref": "rafeymasood/exercise-xgboost", "kernel_id": "28141791"}, {"ref": "rafeymasood/exercise-pipelines", "kernel_id": "28118483"}, {"ref": "hnnhytc/exercise-your-first-machine-learning-model", "kernel_id": "28157920"}, {"ref": "hnnhytc/exercise-your-first-machine-learning-model-1", "kernel_id": "28157921"}, {"ref": "nathannguyen42069/exercise-your-first-machine-learning-model", "kernel_id": "28169462"}, {"ref": "nathannguyen42069/exercise-model-validation", "kernel_id": "28169634"}, {"ref": "nathannguyen42069/exercise-underfitting-and-overfitting", "kernel_id": "28169695"}, {"ref": "nathannguyen42069/exercise-random-forests", "kernel_id": "28169795"}, {"ref": "nathannguyen42069/exercise-machine-learning-competitions", "kernel_id": "28169872"}, {"ref": "luan1krk/intro-intermediate-machine-learning", "kernel_id": "28417438"}, {"ref": "alexandrubadea/exercise-missing-values", "kernel_id": "28946731"}, {"ref": "alexandrubadea/exercise-categorical-variables", "kernel_id": "28950986"}, {"ref": "alexandrubadea/exercise-pipelines", "kernel_id": "28956227"}, {"ref": "aldrshan/exercise-introduction", "kernel_id": "28342237"}, {"ref": "dianren/exercise-introduction", "kernel_id": "28626638"}, {"ref": "dianren/exercise-missing-values", "kernel_id": "28764776"}, {"ref": "qayyum453/houseprice-predictions-pycaret", "kernel_id": "29595174"}, {"ref": "qayyum453/houseprice-predictions-xgbregressor", "kernel_id": "29570564"}, {"ref": "shashankm17/housing-price", "kernel_id": "29026682"}, {"ref": "vijaykumar13ms149/application-of-random-forests-model", "kernel_id": "29126502"}, {"ref": "caesarlupum/exercise-missing-values", "kernel_id": "29203166"}, {"ref": "caesarlupum/exercise-introduction", "kernel_id": "29202816"}, {"ref": "mkmanoj30/exercise-machine-learning-competitions", "kernel_id": "29093588"}, {"ref": "shiviyadav/exercise-your-first-machine-learning-model", "kernel_id": "29421530"}, {"ref": "shiviyadav/exercise-model-validation", "kernel_id": "29421595"}, {"ref": "shiviyadav/exercise-underfitting-and-overfitting", "kernel_id": "29421617"}, {"ref": "shiviyadav/exercise-random-forests", "kernel_id": "29421670"}, {"ref": "shiviyadav/exercise-machine-learning-competitions", "kernel_id": "29421702"}, {"ref": "satakshigupta/underfitting-and-overfitting-practice", "kernel_id": "29120534"}, {"ref": "satakshigupta/your-first-machine-learning-model", "kernel_id": "29089580"}, {"ref": "upamanyudutta/housepriceprediction", "kernel_id": "29761280"}, {"ref": "shibumohapatra/exercise-machine-learning-competitions", "kernel_id": "29914957"}, {"ref": "archietram/housing-prices-fastai-v2", "kernel_id": "29511745"}, {"ref": "donggeonhan/basic-data-exploration", "kernel_id": "29481527"}, {"ref": "donggeonhan/how-models-work-kor-ver", "kernel_id": "29479305"}, {"ref": "beren01/exercise-xgboost", "kernel_id": "29532594"}, {"ref": "beren01/exercise-cross-validation", "kernel_id": "29124000"}, {"ref": "tirendazacademy/housing-prices-prediction-with-tree-based-models", "kernel_id": "29131837"}, {"ref": "archetype/homedata-redo", "kernel_id": "29260587"}, {"ref": "nebojshaantic/exercise-categorical-variables", "kernel_id": "29056061"}, {"ref": "nebojshaantic/exercise-xgboost", "kernel_id": "29059287"}, {"ref": "nebojshaantic/exercise-data-leakage", "kernel_id": "29059894"}, {"ref": "nebojshaantic/exercise-cross-validation", "kernel_id": "29058877"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "lirone/exercise-categorical-variables", "kernel_id": "29475933"}, {"ref": "ashvadharshini/exercise-model-validation", "kernel_id": "29040284"}, {"ref": "thomassimm/tabular-housing-prices-competition", "kernel_id": "29968358"}, {"ref": "karinateran/exercise-categorical-variables", "kernel_id": "29802884"}, {"ref": "mdabumusaashrafi/notebookhousing-prices-competition7f4aa6d1e5", "kernel_id": "29466081"}, {"ref": "zivrapaport/house-price-predictions-rf", "kernel_id": "29462282"}, {"ref": "brandon82890/exercise-machine-learning-competitions", "kernel_id": "29481069"}, {"ref": "brandon82890/exercise-your-first-machine-learning-model", "kernel_id": "29466094"}, {"ref": "asdcena/housing-price-predictions", "kernel_id": "29789847"}, {"ref": "nikithamariashency/nikitha-house-price-prediction", "kernel_id": "29384351"}, {"ref": "ditmcz/exercise-data-leakage", "kernel_id": "29865005"}, {"ref": "ditmcz/exercise-pipelines", "kernel_id": "29844983"}, {"ref": "ditmcz/exercise-xgboost", "kernel_id": "29851009"}, {"ref": "ditmcz/exercise-cross-validation", "kernel_id": "29848705"}, {"ref": "ditmcz/exercise-machine-learning-competitions", "kernel_id": "29788586"}, {"ref": "ditmcz/exercise-random-forests", "kernel_id": "29788335"}, {"ref": "ditmcz/exercise-model-validation", "kernel_id": "29786571"}, {"ref": "ditmcz/exercise-your-first-machine-learning-model", "kernel_id": "29786193"}, {"ref": "ditmcz/exercise-categorical-variables", "kernel_id": "29826302"}, {"ref": "ditmcz/exercise-missing-values", "kernel_id": "29825338"}, {"ref": "ditmcz/exercise-introduction", "kernel_id": "29824655"}, {"ref": "joshuaokolo/xgboost-practice", "kernel_id": "29700313"}, {"ref": "joshuaokolo/handling-data-leakage", "kernel_id": "29700565"}, {"ref": "joshuaokolo/cross-validation-practice", "kernel_id": "29697081"}, {"ref": "joshuaokolo/pipelines-with-sklearn", "kernel_id": "29694898"}, {"ref": "joshuaokolo/categorical-variables-and-encoding-methods", "kernel_id": "29690170"}, {"ref": "joshuaokolo/missing-values-intermediate-ml-course", "kernel_id": "29671723"}, {"ref": "joshuaokolo/introduction-to-intermediate-machine-learning", "kernel_id": "29671231"}, {"ref": "mramzanali/exercise-introduction", "kernel_id": "29568086"}, {"ref": "mramzanali/exercise-missing-values", "kernel_id": "29568298"}, {"ref": "mramzanali/exercise-pipelines", "kernel_id": "29568501"}, {"ref": "ibraheemseyam/housing-prices-automated-eda-visualisation", "kernel_id": "29872022"}, {"ref": "roriebalala22/less-is-more-more-data-or-keep-it-short", "kernel_id": "29784578"}, {"ref": "cmendezmalaga/exercise-machine-learning-competitions", "kernel_id": "29574332"}, {"ref": "shreyashsomvanshi/exercise-introduction", "kernel_id": "29389550"}, {"ref": "ahmedelutfi/exercise-your-first-machine-learning-model", "kernel_id": "29906716"}, {"ref": "billcarden/top-2-house-price-competition", "kernel_id": "29541816"}, {"ref": "borismbobe/simple-prediction-of-saleprice", "kernel_id": "29580097"}, {"ref": "borismbobe/competition-home-price-2", "kernel_id": "29410489"}, {"ref": "adoumtaiga/evaluation-of-ml-algorithms", "kernel_id": "29636281"}, {"ref": "rifkoerlangga/housing-prices-competition-kaggle", "kernel_id": "29453595"}, {"ref": "deepudilikumar1/house-prediction", "kernel_id": "29407337"}, {"ref": "zacksnyde129/exercise-data-leakage", "kernel_id": "29710651"}, {"ref": "whatsupinternet/housing-price-attemt", "kernel_id": "29248480"}, {"ref": "dmitrybarsu/housing-prices-competition-baseline", "kernel_id": "29267310"}, {"ref": "hassanshehzadk/exercise-your-first-machine-learning-model", "kernel_id": "29835504"}, {"ref": "gangminharrychoe/exercise-introduction", "kernel_id": "29445343"}, {"ref": "mayracondorilizarbe/exercise-model-validation", "kernel_id": "29691966"}, {"ref": "mayracondorilizarbe/exercise-underfitting-and-overfitting", "kernel_id": "29691967"}, {"ref": "mayracondorilizarbe/exercise-random-forests", "kernel_id": "29691968"}, {"ref": "mayracondorilizarbe/exercise-machine-learning-competitions", "kernel_id": "29691969"}, {"ref": "mayracondorilizarbe/exercise-your-first-machine-learning-model", "kernel_id": "29691546"}, {"ref": "nadagamal3/exercise-underfitting-and-overfitting", "kernel_id": "29949772"}, {"ref": "nadagamal3/exercise-data-leakage", "kernel_id": "29950191"}, {"ref": "nadagamal3/exercise-cross-validation", "kernel_id": "29950103"}, {"ref": "ramandeepsingh1317/exercise-machine-learning-competitions", "kernel_id": "29216519"}, {"ref": "akulvohra2/exercise-missing-values", "kernel_id": "29163323"}, {"ref": "akulvohra2/exercise-introduction", "kernel_id": "29162697"}, {"ref": "akulvohra2/exercise-categorical-variables", "kernel_id": "29187948"}, {"ref": "akulvohra2/exercise-your-first-machine-learning-model", "kernel_id": "29081678"}, {"ref": "akulvohra2/exercise-underfitting-and-overfitting", "kernel_id": "29135379"}, {"ref": "akulvohra2/exercise-random-forests", "kernel_id": "29136561"}, {"ref": "akulvohra2/exercise-model-validation", "kernel_id": "29108958"}, {"ref": "doggypiggy/houseprices-top-1-accuracy-for-beginners", "kernel_id": "29511844"}, {"ref": "shehanu/getting-started-with-housing-prices", "kernel_id": "29497650"}, {"ref": "engnoura2/exercise-pipelines", "kernel_id": "29814429"}, {"ref": "engnoura2/cross-validation", "kernel_id": "29814490"}, {"ref": "engnoura2/xgboost", "kernel_id": "29814585"}, {"ref": "engnoura2/data-leakage", "kernel_id": "29814706"}, {"ref": "engnoura2/exercise-underfitting-and-overfitting", "kernel_id": "29796743"}, {"ref": "engnoura2/exercise-introduction", "kernel_id": "29796909"}, {"ref": "engnoura2/exercise-machine-learning-competitions", "kernel_id": "29796848"}, {"ref": "engnoura2/exercise-categorical-variables", "kernel_id": "29797041"}, {"ref": "engnoura2/exercise-missing-values", "kernel_id": "29796952"}, {"ref": "engnoura2/exercise-your-first-machine-learning-model", "kernel_id": "29796626"}, {"ref": "engnoura2/exercise-model-validation", "kernel_id": "29796684"}, {"ref": "engnoura2/exercise-random-forests", "kernel_id": "29796795"}, {"ref": "chinyereokoli/exercise-cross-validation", "kernel_id": "29989519"}, {"ref": "aravind8bkd/intro-to-machine-learning", "kernel_id": "29507073"}, {"ref": "sarthak21f1004405/exercise-machine-learning-competitions", "kernel_id": "29106052"}, {"ref": "dnjacobs/exercise-model-validation", "kernel_id": "29910700"}, {"ref": "dnjacobs/exercise-your-first-machine-learning-model", "kernel_id": "29909817"}, {"ref": "ahmedwasi/random-forests", "kernel_id": "29727011"}, {"ref": "ankityadav2411/exercise-underfitting-and-overfitting", "kernel_id": "29807783"}, {"ref": "s180751sonumahanty/exercise-machine-learning-competitions", "kernel_id": "29158259"}, {"ref": "phucctran/exercise-missing-values", "kernel_id": "29857110"}, {"ref": "sanketangchekar1/exercise-underfitting-and-overfitting", "kernel_id": "29315384"}, {"ref": "sanketangchekar1/exercise-machine-learning-competitions", "kernel_id": "29334886"}, {"ref": "dianren/exercise-pipelines", "kernel_id": "29269372"}, {"ref": "dianren/exercise-categorical-variables", "kernel_id": "29265009"}, {"ref": "dianren/exercise-xgboost", "kernel_id": "29350992"}, {"ref": "dianren/exercise-cross-validation", "kernel_id": "29350064"}, {"ref": "dianren/exercise-data-leakage", "kernel_id": "29420500"}, {"ref": "fahzafahmi/exercise-your-first-machine-learning-model", "kernel_id": "29117373"}, {"ref": "fahzafahmi/exercise-model-validation", "kernel_id": "29139065"}, {"ref": "gargivipat/exercise-machine-learning-competitions", "kernel_id": "29121153"}, {"ref": "ankita5532/exercise-random-forests", "kernel_id": "29185371"}, {"ref": "hebaallam/exercise-model-validation", "kernel_id": "29609491"}, {"ref": "hebaallam/exercise-underfitting-and-overfitting", "kernel_id": "29609518"}, {"ref": "hebaallam/exercise-random-forests", "kernel_id": "29609519"}, {"ref": "hebaallam/exercise-your-first-machine-learning-model", "kernel_id": "29608058"}, {"ref": "athirajayaram/notebookdbb92f3206", "kernel_id": "29926301"}, {"ref": "nshidqi/exercise-housing-prices-prediction", "kernel_id": "29762682"}, {"ref": "rajcoding/exercise-machine-learning-competitions", "kernel_id": "29733172"}, {"ref": "tabithawaithira/exercise-model-validation", "kernel_id": "29803845"}, {"ref": "panosc/exercise-xgboost", "kernel_id": "30577835"}, {"ref": "scook4242/exercise-your-first-machine-learning-model", "kernel_id": "30185207"}, {"ref": "belsonraja/exercise-model-validation", "kernel_id": "30916097"}, {"ref": "belsonraja/exercise-your-first-machine-learning-model", "kernel_id": "30889021"}, {"ref": "belsonraja/exercise-underfitting-and-overfitting", "kernel_id": "30991393"}, {"ref": "hakankeskin/first-machine-learning-model", "kernel_id": "30893669"}, {"ref": "pollicio/exercise-machine-learning-competitions", "kernel_id": "30667921"}, {"ref": "pollicio/exercise-introduction", "kernel_id": "30887653"}, {"ref": "ahmadmehraby/encode-categorical", "kernel_id": "30338193"}, {"ref": "fareski/exercise-missing-values", "kernel_id": "30737574"}, {"ref": "arthurtavaresquinto/exercise-underfitting-and-overfitting", "kernel_id": "30689164"}, {"ref": "arthurtavaresquinto/exercise-random-forests", "kernel_id": "30690287"}, {"ref": "arthurtavaresquinto/exercise-first-machine-learning-competitions", "kernel_id": "30690813"}, {"ref": "arthurtavaresquinto/exercise-my-first-machine-learning-model", "kernel_id": "30661038"}, {"ref": "dpakkaushik/exercise-house-prices-competition", "kernel_id": "30594778"}, {"ref": "dpakkaushik/exercise-cross-validation", "kernel_id": "30597258"}, {"ref": "dpakkaushik/house-prices-competition-using-xgboost", "kernel_id": "30597826"}, {"ref": "pasuvulasaikiran/housing-prices-blending-all-gbms", "kernel_id": "30637199"}, {"ref": "megalino111/exercise-machine-learning-competitions", "kernel_id": "30172199"}, {"ref": "megalino111/exercise-introduction", "kernel_id": "30548747"}, {"ref": "megalino111/exercise-cross-validation", "kernel_id": "30751723"}, {"ref": "megalino111/exercise-pipelines", "kernel_id": "30697146"}, {"ref": "megalino111/exercise-categorical-variables", "kernel_id": "30669558"}, {"ref": "megalino111/exercise-missing-values", "kernel_id": "30584101"}, {"ref": "shibumohapatra/exercise-missing-values", "kernel_id": "30401036"}, {"ref": "shibumohapatra/exercise-pipelines", "kernel_id": "30401573"}, {"ref": "ankit8467/exercise-cross-validation", "kernel_id": "30644638"}, {"ref": "chandruuk/housing-prices-competition", "kernel_id": "30322594"}, {"ref": "srishtimishra2512/exercise-pipelines", "kernel_id": "30980579"}, {"ref": "dimasrizkyfitrasari/selected-predictor-with-correlation-heatmap", "kernel_id": "30614637"}, {"ref": "shivamgupta9893/exercise-machine-learning-competitions", "kernel_id": "30311277"}, {"ref": "msubham193/exercise-your-first-machine-learning-model", "kernel_id": "30412790"}, {"ref": "konikarani/exercise-underfitting-and-overfitting", "kernel_id": "30543344"}, {"ref": "konikarani/exercise-2", "kernel_id": "30541045"}, {"ref": "faduregis/underfitting-and-overfitting-in-machine-learning", "kernel_id": "30545733"}, {"ref": "faduregis/machine-learning-model-validation", "kernel_id": "30527365"}, {"ref": "faduregis/machine-learning-model-good-for-beginners", "kernel_id": "30492440"}, {"ref": "faduregis/random-forests-vs-decision-tree-models-in-ml", "kernel_id": "30631503"}, {"ref": "ahmedelashrybdm/house-prices-detector-xgboost-optuna", "kernel_id": "30360756"}, {"ref": "zhuuukds/ml-competition-housing-prices", "kernel_id": "30291503"}, {"ref": "maheshnanavare/housing-prices-xgboost-gridsearch-pipeline", "kernel_id": "30915832"}, {"ref": "mwaseem75/exercise-pipelines", "kernel_id": "30175563"}, {"ref": "oumaymalahmer/exercise-model-validation", "kernel_id": "30306176"}, {"ref": "oumaymalahmer/exercise-random-forests", "kernel_id": "30419088"}, {"ref": "chewziqing/exercise-introduction", "kernel_id": "30009358"}, {"ref": "chewziqing/exercise-missing-values", "kernel_id": "30010512"}, {"ref": "chewziqing/exercise-categorical-variables", "kernel_id": "30011360"}, {"ref": "chewziqing/exercise-cross-validation", "kernel_id": "30917314"}, {"ref": "chewziqing/exercise-xgboost", "kernel_id": "30918261"}, {"ref": "chewziqing/exercise-data-leakage", "kernel_id": "30918986"}, {"ref": "chewziqing/exercise-pipelines", "kernel_id": "30916703"}, {"ref": "jackelinegregorio/exercise-missing-values", "kernel_id": "30106481"}, {"ref": "christophfolgner1/exercise-xgboost", "kernel_id": "30020047"}, {"ref": "mohammedsabryi/exercise-machine-learning-competitions", "kernel_id": "30057350"}, {"ref": "mkuonsongo/exercise-random-forests", "kernel_id": "30675391"}, {"ref": "pedroisrael/beginner-s-machine-learning-guide", "kernel_id": "30314843"}, {"ref": "mariomarkov/exercise-pipelines", "kernel_id": "30962439"}, {"ref": "vinaysharma1212/categorical-to-numerical-with-fill-of-missing-valu", "kernel_id": "30077887"}, {"ref": "hassanshehzadk/exercise-underfitting-and-overfitting", "kernel_id": "30143213"}, {"ref": "hassanshehzadk/exercise-model-validation", "kernel_id": "30092401"}, {"ref": "abimanyucse/notebook6b99704432", "kernel_id": "30847029"}, {"ref": "seanmckenna98/final-project", "kernel_id": "30995055"}, {"ref": "sauravmishraa/housing-price-competition", "kernel_id": "30877580"}, {"ref": "purpledmango/house-price-prediction-with-xgb-rf-dt", "kernel_id": "30237524"}, {"ref": "felipe100/competicao-house", "kernel_id": "30435095"}, {"ref": "chinyereokoli/exercise-xgboost", "kernel_id": "30014154"}, {"ref": "chinyereokoli/exercise-data-leakage", "kernel_id": "30225392"}, {"ref": "shabareesharyan/randomforest-xgboost-pipelining-on-housing-data", "kernel_id": "30869946"}, {"ref": "cyruswainaina/exercise-machine-learning-competitions", "kernel_id": "30552792"}, {"ref": "dnjacobs/exercise-underfitting-and-overfitting", "kernel_id": "30012373"}, {"ref": "dnjacobs/exercise-machine-learning-competitions", "kernel_id": "30109140"}, {"ref": "dnjacobs/exercise-random-forests", "kernel_id": "30108691"}, {"ref": "jacklacey/simple-housing-prices-prediction", "kernel_id": "30847621"}, {"ref": "theabhishekraj/exercise-machine-learning-competitions", "kernel_id": "30856226"}, {"ref": "juliasalsabilah/exercise-machine-learning-competitions", "kernel_id": "30409348"}, {"ref": "timothynduati/exercise-pipelines", "kernel_id": "30326290"}, {"ref": "mnurnabi/exercise-model-validation", "kernel_id": "30967689"}, {"ref": "alvinleenh/baseline-prediction-with-catboost-model", "kernel_id": "30018013"}, {"ref": "maheshmahi7702/exercise-machine-learning-competitions", "kernel_id": "30007880"}, {"ref": "simaiaomi/notebookf37b74ce76", "kernel_id": "30867423"}, {"ref": "mohamedabokahf/exercise-missing-values", "kernel_id": "30921447"}, {"ref": "mohamedabokahf/exercise-introduction", "kernel_id": "30899172"}, {"ref": "belligraf/catboostregressor", "kernel_id": "30291046"}, {"ref": "raneemje/exercise-your-first-machine-learning-model", "kernel_id": "30418377"}, {"ref": "bedooralmareni/ccai312-2005961-lab3-bedoor-1", "kernel_id": "30530820"}, {"ref": "viswabonam/housing-prices-prediction", "kernel_id": "30591814"}, {"ref": "djdd01/exercise-machine-learning-competitions", "kernel_id": "30329313"}, {"ref": "hosesoh/housing-price-prediction-end-to-end-ml-project", "kernel_id": "30766631"}, {"ref": "ecrire06/comparing-decision-tree-and-random-forest", "kernel_id": "30885732"}, {"ref": "saifulislam49/exercise-your-first-machine-learning-model", "kernel_id": "30452623"}, {"ref": "alexryzhkov/beginners-lightautoml-houseprices-predictor", "kernel_id": "31227035"}, {"ref": "rsesha/lazy-sulo-housing-score-15498-in-5-lines", "kernel_id": "31360829"}, {"ref": "sehan10/house-price-eda-fe-prediction", "kernel_id": "31142582"}, {"ref": "belsonraja/exercise-random-forests", "kernel_id": "31013254"}, {"ref": "belsonraja/exercise-machine-learning-competitions", "kernel_id": "31013450"}, {"ref": "nlztrk/generating-stratified-folds-on-regression-problems", "kernel_id": "31591206"}, {"ref": "blackh0le/ki-seminar-2022-boston-housing", "kernel_id": "31998917"}, {"ref": "rathisoft/iowa-state-home-price-pred-decision-tree-regressor", "kernel_id": "31497745"}, {"ref": "pollicio/exercise-missing-values", "kernel_id": "31189930"}, {"ref": "lisavillanueva/exercise-machine-learning-competitions", "kernel_id": "31876117"}, {"ref": "gabrielamorim/exercise-machine-learning-competitions", "kernel_id": "31463980"}, {"ref": "alitaha22/fork-of-exercise-machine-learning-competit-23582e", "kernel_id": "31221545"}, {"ref": "alitaha22/fork-of-exercise-machine-learning-competit-132947", "kernel_id": "31221349"}, {"ref": "masoumehkhalilzadeh/exercise-random-forests", "kernel_id": "31665042"}, {"ref": "masoumehkhalilzadeh/exercise-machine-learning-competitions", "kernel_id": "31711530"}, {"ref": "masoumehkhalilzadeh/exercise-model-validation", "kernel_id": "31634321"}, {"ref": "thesnak/exercise-machine-learning-competitions", "kernel_id": "31045796"}, {"ref": "dadangbudi/hyperparameter-tuning-using-randomforestsearch-cv", "kernel_id": "31958745"}, {"ref": "maheshnanavare/housing-prices-xgboost-randomizedsearchcv", "kernel_id": "31038428"}, {"ref": "juansanchez223/exercise-machine-learning-competitions", "kernel_id": "31141842"}, {"ref": "yakeworld126/housing-prices-blending-all-gbms", "kernel_id": "31499429"}, {"ref": "yakeworld126/house-price-eda-fe-prediction", "kernel_id": "31513286"}, {"ref": "swathianil/starter-housing-price-random-forest", "kernel_id": "31180400"}, {"ref": "daniellionel98/exercise-categorical-variables", "kernel_id": "31309869"}, {"ref": "nadiaid/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "31321373"}, {"ref": "juancamilos29/my-end-notebook-boosting", "kernel_id": "31629018"}, {"ref": "oumaymalahmer/exercise-cross-validation", "kernel_id": "31402267"}, {"ref": "nirroo/exercise-machine-learning-competitions", "kernel_id": "31898924"}, {"ref": "luckseeganmaheswaran/exercise-introduction", "kernel_id": "31092363"}, {"ref": "variginegor/xgboost", "kernel_id": "31655089"}, {"ref": "bashirabdulraheem/exercise-machine-learning-competitions", "kernel_id": "31650966"}, {"ref": "ahmedaboghaly/notebook64bc90b161", "kernel_id": "31122643"}, {"ref": "welwengsieh/ml-linear-regression-house-price-prediction", "kernel_id": "31850872"}, {"ref": "ekoimam/exercise-underfitting-and-overfitting", "kernel_id": "31034261"}, {"ref": "sudhanshu202/exercise-missing-values", "kernel_id": "31762660"}, {"ref": "patimejia/exercise-introduction", "kernel_id": "31673841"}, {"ref": "mnurnabi/exercise-underfitting-and-overfitting", "kernel_id": "31017747"}, {"ref": "samuelhaile8/housing-price-ml-competitions", "kernel_id": "31829697"}, {"ref": "dobromirchankov/exercise-pipelines", "kernel_id": "31397689"}, {"ref": "emadanas/exercise-machine-learning-competitions", "kernel_id": "31047282"}, {"ref": "khhaledahmaad/exercise-pipelines", "kernel_id": "31401018"}, {"ref": "khhaledahmaad/exercise-random-forests", "kernel_id": "31255411"}, {"ref": "khhaledahmaad/exercise-xgboost", "kernel_id": "31544394"}, {"ref": "khhaledahmaad/exercise-cross-validation", "kernel_id": "31512519"}, {"ref": "khhaledahmaad/exercise-data-leakage", "kernel_id": "31573619"}, {"ref": "duraiviswanathan/exercise-machine-learning-competitions", "kernel_id": "31582596"}, {"ref": "meganmckenzie/exercise-random-forests", "kernel_id": "31203773"}, {"ref": "balgopalmoharana/exercise-underfitting-and-overfitting", "kernel_id": "31494373"}, {"ref": "balgopalmoharana/exercise-your-first-machine-learning-model", "kernel_id": "31449064"}, {"ref": "balgopalmoharana/exercise-missing-values", "kernel_id": "31554448"}, {"ref": "diodali/nd-mas", "kernel_id": "31832575"}, {"ref": "sameerjathavedan/house-prices-sklearn", "kernel_id": "31932096"}, {"ref": "dhananjayraut/exercise-model-validation", "kernel_id": "31836194"}, {"ref": "dhananjayraut/exercise-your-first-machine-learning-model", "kernel_id": "31835278"}, {"ref": "gabrielmissailidis/exercise-underfitting-and-overfitting", "kernel_id": "31870691"}, {"ref": "gabrielmissailidis/exercise-machine-learning-competitions", "kernel_id": "31871860"}, {"ref": "gabrielmissailidis/exercise-random-forests", "kernel_id": "31871386"}, {"ref": "gabrielmissailidis/exercise-model-validation", "kernel_id": "31869692"}, {"ref": "gabrielmissailidis/exercise-your-first-machine-learning-model", "kernel_id": "31869169"}, {"ref": "hassankhwileh/exercise-missing-values", "kernel_id": "32650547"}, {"ref": "hassankhwileh/exercise-machine-learning-competitions", "kernel_id": "32508886"}, {"ref": "aadishchopra/exercise-categorical-variables", "kernel_id": "32894035"}, {"ref": "amfakh/exercise-machine-learning-competitions", "kernel_id": "32783836"}, {"ref": "saharnasiri/exercise-introduction", "kernel_id": "32111253"}, {"ref": "prabalb046348/housing-prices-noob", "kernel_id": "32052627"}, {"ref": "mona20/notebook2bd344bf76", "kernel_id": "32331096"}, {"ref": "matthewbabajide/notebookff4089bedb", "kernel_id": "32791184"}, {"ref": "dimasjackson/housing-prices-predictions", "kernel_id": "32852066"}, {"ref": "megalino111/exercise-data-leakage", "kernel_id": "32721944"}, {"ref": "megalino111/exercise-xgboost", "kernel_id": "32441397"}, {"ref": "vinciusfriasaleite/my-prediction", "kernel_id": "32946409"}, {"ref": "zakarianejm/housing-prices-nejmessabah", "kernel_id": "32872356"}, {"ref": "othondaikiishiyi/exercise-random-forests", "kernel_id": "32375842"}, {"ref": "othondaikiishiyi/exercise-machine-learning-competitions", "kernel_id": "32375904"}, {"ref": "othondaikiishiyi/exercise-introduction", "kernel_id": "32376636"}, {"ref": "othondaikiishiyi/exercise-your-first-machine-learning-model", "kernel_id": "32367387"}, {"ref": "othondaikiishiyi/exercise-model-validation", "kernel_id": "32368224"}, {"ref": "othondaikiishiyi/exercise-underfitting-and-overfitting", "kernel_id": "32368836"}, {"ref": "othondaikiishiyi/exercise-categorical-variables", "kernel_id": "32854953"}, {"ref": "othondaikiishiyi/exercise-missing-values", "kernel_id": "32765974"}, {"ref": "sumeetmalusare/first-ml-project-house-prediction-using-xg-boost", "kernel_id": "32161275"}, {"ref": "dsfelix/predicting-house-prices", "kernel_id": "32412020"}, {"ref": "dsfelix/prevendo-pre-o-de-casas", "kernel_id": "32975947"}, {"ref": "mustafagerme/exercise-your-first-machine-learning-model", "kernel_id": "32263866"}, {"ref": "ibymorris/exercise-model-validation", "kernel_id": "32995895"}, {"ref": "ibymorris/notebook22b1f676cb", "kernel_id": "32995505"}, {"ref": "rakkesharv/housing-prices-competition-top-2", "kernel_id": "32771365"}, {"ref": "sanandachowdhury/exercise-underfitting-and-overfitting", "kernel_id": "32060380"}, {"ref": "sanandachowdhury/exercise-model-validation", "kernel_id": "32063458"}, {"ref": "sanandachowdhury/exercise-random-forests", "kernel_id": "32063740"}, {"ref": "sanandachowdhury/exercise-machine-learning-competitions", "kernel_id": "32063802"}, {"ref": "sanandachowdhury/exercise-your-first-machine-learning-model", "kernel_id": "32061258"}, {"ref": "oumaymalahmer/exercise-xgboost", "kernel_id": "32315770"}, {"ref": "oumaymalahmer/exercise-data-leakage", "kernel_id": "32374615"}, {"ref": "clareismo/exercise-random-forests", "kernel_id": "32855682"}, {"ref": "clareismo/exercise-underfitting-and-overfitting", "kernel_id": "32539450"}, {"ref": "clareismo/exercise-your-first-machine-learning-model", "kernel_id": "32508099"}, {"ref": "clareismo/exercise-model-validation", "kernel_id": "32510088"}, {"ref": "sohelakhtar/exercise-machine-learning-competitions", "kernel_id": "32153115"}, {"ref": "fadwaboulekhras/boulekhras-notebook", "kernel_id": "32884882"}, {"ref": "estercifuentesquiles/house-price-prediction-final", "kernel_id": "32086370"}, {"ref": "arunmunagala/exercise-missing-values", "kernel_id": "32592431"}, {"ref": "arunmunagala/exercise-introduction", "kernel_id": "32503004"}, {"ref": "meetkavathiya/house-price-advanced-regression", "kernel_id": "32293354"}, {"ref": "anassrachid/rirukira-housing-prices", "kernel_id": "32871307"}, {"ref": "mohd647/exercise-your-first-machine-learning-model", "kernel_id": "32115819"}, {"ref": "donatusenebuse/exercise-machine-learning-competitions", "kernel_id": "32813407"}, {"ref": "sarostan/exercise-machine-learning-competitions", "kernel_id": "32448634"}, {"ref": "cholinho/exercise-machine-learning-competitions", "kernel_id": "32270897"}, {"ref": "joshgardiner00/house-prices-competition-top-1-5", "kernel_id": "32393741"}, {"ref": "thau08/exercise-machine-learning-competitions", "kernel_id": "32764790"}, {"ref": "ekenechukwuemekaeri/exercise-machine-learning-competitions", "kernel_id": "32954272"}, {"ref": "andhikaagussetiawan/exercise-your-first-machine-learning-model", "kernel_id": "32258462"}, {"ref": "andhikaagussetiawan/exercise-machine-learning-competitions", "kernel_id": "32363238"}, {"ref": "julieklein84/ki-seminar-2023-boston-housing", "kernel_id": "32087879"}, {"ref": "percedal/exercise-missing-values", "kernel_id": "32141636"}, {"ref": "percedal/exercise-introduction", "kernel_id": "32141430"}, {"ref": "percedal/exercise-categorical-variables", "kernel_id": "32159978"}, {"ref": "brunofassis/exercise-introduction", "kernel_id": "32442199"}, {"ref": "chafikayoub/notebook22f86529be", "kernel_id": "32870026"}, {"ref": "yahyachahid/housing-prices-competition", "kernel_id": "32724156"}, {"ref": "boutakourteacrafg3/test-boutakourte", "kernel_id": "32884775"}, {"ref": "meeteorss/housing-prices", "kernel_id": "32872385"}, {"ref": "mouadkhallatig3/housing-prices", "kernel_id": "32873089"}, {"ref": "nouhailaaameurg3/note-nouhaila", "kernel_id": "32872508"}, {"ref": "marouanekrekerg3/house-pricing-mk-g3", "kernel_id": "32873294"}, {"ref": "amena40/exercise-underfitting-and-overfitting", "kernel_id": "32896427"}, {"ref": "mehdiajana1/ajana-mehdi-g3", "kernel_id": "32888119"}, {"ref": "sanaaslimani/sanaa-slimani-g3", "kernel_id": "32891922"}, {"ref": "srishty/exercise-underfitting-and-overfitting", "kernel_id": "33569489"}, {"ref": "juanblanco32312/iowa-homes-dataset-competition-my-submission", "kernel_id": "33362509"}, {"ref": "isaacdbc/housing-prices-tutorial-top-2", "kernel_id": "33873672"}, {"ref": "avijitcse/knnhouserentanalysis", "kernel_id": "33573589"}, {"ref": "avijitcse/prhouserentanalysis", "kernel_id": "33442098"}, {"ref": "mohamedbelkamel/fork-of-prediction-house-price", "kernel_id": "33502091"}, {"ref": "sajalshovon/predicting-house-prices", "kernel_id": "33241808"}, {"ref": "nyagami/housing-prices-competition", "kernel_id": "33945472"}, {"ref": "jailsonevora/ml-regression-problem-housing-price", "kernel_id": "33785576"}, {"ref": "perfectnight123/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "33781352"}, {"ref": "perfectnight123/exercise-machine-learning-competitions", "kernel_id": "33396185"}, {"ref": "irishardege/exercise-machine-learning-competitions", "kernel_id": "33841614"}, {"ref": "orcarmel/housing-prices-comp-neurnal-network", "kernel_id": "33855500"}, {"ref": "d3wyan/exercise-machine-learning-competitions", "kernel_id": "33321368"}, {"ref": "ramiwafik/eda-data-preprocessing-feature-engineering", "kernel_id": "33687060"}, {"ref": "sabinakhadysy/housing-prices-competiton", "kernel_id": "33423434"}, {"ref": "sabinakhadysy/exercise-missing-values", "kernel_id": "33452348"}, {"ref": "sabinakhadysy/exercise-missing-values-dropping-approach", "kernel_id": "33453795"}, {"ref": "muhammadahmedansari/exercise-machine-learning-competitions", "kernel_id": "33783886"}, {"ref": "liyifan1/fork-of-notebook199fa87226-f62766", "kernel_id": "33369089"}, {"ref": "ragabsayed/exercise-machine-learning-competitions", "kernel_id": "33194253"}, {"ref": "sueptrakulkunatham/exercise-data-leakage", "kernel_id": "33332252"}, {"ref": "ayaabdalsalam/exercise-introduction", "kernel_id": "33945078"}, {"ref": "ayaabdalsalam/exercise-model-validation", "kernel_id": "33943252"}, {"ref": "ayaabdalsalam/exercise-your-first-machine-learning-model", "kernel_id": "33922426"}, {"ref": "guilhermemoia/exercise-machine-learning-competitions", "kernel_id": "33702994"}, {"ref": "ibymorris/exercise-underfitting-and-overfitting", "kernel_id": "33061817"}, {"ref": "ibymorris/exercise-random-forests", "kernel_id": "33062272"}, {"ref": "ibymorris/exercise-machine-learning-competitions", "kernel_id": "33268597"}, {"ref": "ivanchistyakov/housing-prices-top1", "kernel_id": "33880849"}, {"ref": "marwaaabdalhakim/exercise-your-first-machine-learning-model", "kernel_id": "33960967"}, {"ref": "marwaaabdalhakim/exercise-model-validation", "kernel_id": "33963551"}, {"ref": "samirnunesdasilva/exercise-categorical-variables", "kernel_id": "33326838"}, {"ref": "samirnunesdasilva/exercise-missing-values", "kernel_id": "33303999"}, {"ref": "samirnunesdasilva/exercise-underfitting-and-overfitting", "kernel_id": "33273918"}, {"ref": "samirnunesdasilva/exercise-model-validation", "kernel_id": "33273555"}, {"ref": "samirnunesdasilva/exercise-random-forests", "kernel_id": "33274274"}, {"ref": "samirnunesdasilva/exercise-machine-learning-competitions", "kernel_id": "33274347"}, {"ref": "samirnunesdasilva/exercise-your-first-machine-learning-model", "kernel_id": "33267488"}, {"ref": "rzatemizel/feature-engineering-optuna-stacked-pipe", "kernel_id": "33331313"}, {"ref": "pyrocksy/base-housing-prediction", "kernel_id": "33962714"}, {"ref": "oenvespa/housing-prices-imputation-ohe-random-forest", "kernel_id": "33679302"}, {"ref": "samandarxamidov/exercise-machine-learning-competitions", "kernel_id": "33418962"}, {"ref": "amirmotefaker/exercise-machine-learning-competitions", "kernel_id": "33721792"}, {"ref": "xenagarage/exercise-your-first-machine-learning-model", "kernel_id": "33500634"}, {"ref": "mandarukrulkar/exercise-machine-learning-competitions", "kernel_id": "33897796"}, {"ref": "abdulazizergashev/housing-prices-competition-top-2", "kernel_id": "33288340"}, {"ref": "fabriziosgro/exercise-machine-learning-competitions", "kernel_id": "33593669"}, {"ref": "simaiaomi/model-validation-experiments", "kernel_id": "33106785"}, {"ref": "minhchaule/exercise-cross-validation", "kernel_id": "33499391"}, {"ref": "minhchaule/exercise-pipelines", "kernel_id": "33471139"}, {"ref": "noahlloyd/random-forests", "kernel_id": "33983194"}, {"ref": "caseyotieno/exercise-machine-learning-competitions", "kernel_id": "33943793"}, {"ref": "harshchaudhari42/exercise-machine-learning-competitions", "kernel_id": "33311601"}, {"ref": "levkharlashkin/housing-prices-competition", "kernel_id": "33443077"}, {"ref": "apstudy/exercise-random-forests", "kernel_id": "33004613"}, {"ref": "apstudy/exercise-underfitting-and-overfitting", "kernel_id": "33003321"}, {"ref": "vishalnkharat/exercise-machine-learning-competitions", "kernel_id": "33564182"}, {"ref": "aqilafadia/machine-learning-competitions-housing-prices", "kernel_id": "33515240"}, {"ref": "panini92/exercise-machine-learning-competitions", "kernel_id": "33903763"}, {"ref": "panini92/exercise-random-forests", "kernel_id": "33903504"}, {"ref": "panini92/exercise-model-validation", "kernel_id": "33844837"}, {"ref": "panini92/exercise-underfitting-and-overfitting", "kernel_id": "33875841"}, {"ref": "panini92/exercise-your-first-machine-learning-model", "kernel_id": "33811512"}, {"ref": "marcelversiani/exercise-your-first-machine-learning-model", "kernel_id": "33503223"}, {"ref": "marcelversiani/exercise-model-validation", "kernel_id": "33530971"}, {"ref": "marcelversiani/exercise-machine-learning-competitions", "kernel_id": "33553811"}, {"ref": "marcelversiani/exercise-underfitting-and-overfitting", "kernel_id": "33552519"}, {"ref": "marcelversiani/exercise-random-forests", "kernel_id": "33553502"}, {"ref": "raulstefanpop/exercise-machine-learning-competitions", "kernel_id": "33936829"}, {"ref": "pinapatisaradhi/exercise-machine-learning-competitions", "kernel_id": "34068572"}, {"ref": "gastonmichelotti/exercise-introduction", "kernel_id": "34716397"}, {"ref": "gastonmichelotti/exercise-missing-values", "kernel_id": "34920034"}, {"ref": "gastonmichelotti/exercise-categorical-variables", "kernel_id": "34921295"}, {"ref": "henryspeiser/exercise-your-first-machine-learning-model", "kernel_id": "34218362"}, {"ref": "garvitsingh/housing-prices", "kernel_id": "34461493"}, {"ref": "artyomkolas/housing-prices-with-snaplib", "kernel_id": "34492755"}, {"ref": "sreen28g10/exercise-your-first-machine-learning-model", "kernel_id": "34704491"}, {"ref": "sreen28g10/exercise-random-forests", "kernel_id": "34774765"}, {"ref": "sreen28g10/exercise-machine-learning-competitions", "kernel_id": "34783859"}, {"ref": "sreen28g10/exercise-underfitting-and-overfitting", "kernel_id": "34739740"}, {"ref": "sreen28g10/exercise-model-validation", "kernel_id": "34738118"}, {"ref": "hibrahimy/exercise-machine-learning-competitions", "kernel_id": "34353672"}, {"ref": "donggeonhan/model-validation", "kernel_id": "34913061"}, {"ref": "donggeonhan/your-first-machine-learning-model", "kernel_id": "34877900"}, {"ref": "nimahmasuud/exercise-xgboost", "kernel_id": "34755846"}, {"ref": "nimahmasuud/exercise-cross-validation", "kernel_id": "34751840"}, {"ref": "nimahmasuud/exercise-pipelines", "kernel_id": "34748028"}, {"ref": "nimahmasuud/exercise-your-first-machine-learning-model", "kernel_id": "34133131"}, {"ref": "nimahmasuud/exercise-model-validation", "kernel_id": "34180634"}, {"ref": "nimahmasuud/exercise-machine-learning-competitions", "kernel_id": "34217974"}, {"ref": "nimahmasuud/exercise-introduction", "kernel_id": "34218603"}, {"ref": "nimahmasuud/exercise-missing-values", "kernel_id": "34309656"}, {"ref": "victoryagbonighale/exercise-underfitting-and-overfitting", "kernel_id": "34985080"}, {"ref": "victoryagbonighale/exercise-missing-values", "kernel_id": "34080765"}, {"ref": "ayaabdalsalam/exercise-missing-values", "kernel_id": "34137759"}, {"ref": "ayaabdalsalam/exercise-categorical-variables", "kernel_id": "34145476"}, {"ref": "kiattiphumsuwanarsa/justlearning", "kernel_id": "34464537"}, {"ref": "wiambekri/exercise-machine-learning-competitions", "kernel_id": "34444941"}, {"ref": "wiambekri/house-prices", "kernel_id": "34444976"}, {"ref": "shriya2920/exercise-machine-learning-competitions", "kernel_id": "34208110"}, {"ref": "marwaaabdalhakim/exercise-introduction", "kernel_id": "34077746"}, {"ref": "marwaaabdalhakim/fork-of-exercise-machine-learning-competitions", "kernel_id": "34077018"}, {"ref": "marwaaabdalhakim/exercise-machine-learning-competitions", "kernel_id": "34074702"}, {"ref": "marwaaabdalhakim/exercise-random-forests", "kernel_id": "34074445"}, {"ref": "marwaaabdalhakim/exercise-missing-values", "kernel_id": "34081558"}, {"ref": "marwaaabdalhakim/exercise-categorical-variables", "kernel_id": "34127159"}, {"ref": "marwaaabdalhakim/exercise-underfitting-and-overfitting", "kernel_id": "34052388"}, {"ref": "daichiishikawa/exercise-your-first-machine-learning-model", "kernel_id": "34804895"}, {"ref": "daichiishikawa/exercise-underfitting-and-overfitting", "kernel_id": "34837424"}, {"ref": "daichiishikawa/exercise-machine-learning-competitions", "kernel_id": "34839780"}, {"ref": "daichiishikawa/exercise-random-forests", "kernel_id": "34839283"}, {"ref": "daichiishikawa/exercise-model-validation", "kernel_id": "34836210"}, {"ref": "avishekpathania/exercise-model-validation", "kernel_id": "34372440"}, {"ref": "hamadbij017/exercise-categorical-variables", "kernel_id": "34169547"}, {"ref": "harunamuhdinuwa/exercise-your-first-machine-learning-model", "kernel_id": "34561479"}, {"ref": "songglodtan/exercise-machine-learning-competitions", "kernel_id": "34447052"}, {"ref": "finndubois/le-missing-value-au-chocolat", "kernel_id": "34217372"}, {"ref": "salmaeddaoudi/housing-prices-competition", "kernel_id": "34276306"}, {"ref": "easytips/exercise-introduction", "kernel_id": "34683418"}, {"ref": "alexeyniimbb/exercise-introduction", "kernel_id": "34116961"}, {"ref": "ahmedbadawyn/exercise-machine-learning-competitions", "kernel_id": "34800265"}, {"ref": "nuttanichamuangmool/exercise-your-first-machine-learning-model", "kernel_id": "34918310"}, {"ref": "preedame/exercise-your-first-machine-learning-model", "kernel_id": "34707265"}, {"ref": "chayaneetan/exercise-your-first-machine-learning-model", "kernel_id": "34831418"}, {"ref": "chayaneetan/exercise-model-validation", "kernel_id": "34831654"}, {"ref": "panini92/exercise-categorical-variables", "kernel_id": "34179036"}, {"ref": "panini92/exercise-pipelines", "kernel_id": "34204246"}, {"ref": "panini92/exercise-missing-values", "kernel_id": "34148052"}, {"ref": "panini92/exercise-cross-validation", "kernel_id": "34235952"}, {"ref": "panini92/exercise-xgboost", "kernel_id": "34269330"}, {"ref": "panini92/exercise-data-leakage", "kernel_id": "34296981"}, {"ref": "mohit7824/housing-price-with-randomforest-80", "kernel_id": "34377884"}, {"ref": "bacharacherif/exercise-machine-learning-competitions", "kernel_id": "34914947"}, {"ref": "mistydragon/exercise-categorical-variables", "kernel_id": "34263526"}, {"ref": "puneetwalia18/house-rent-prediction", "kernel_id": "34978228"}, {"ref": "jherfson/exercise-model-validation", "kernel_id": "35988549"}, {"ref": "iqraddfkldf/project-1-sales-data-analysis", "kernel_id": "35636870"}, {"ref": "khusrav2000/housing-prices-competition", "kernel_id": "35934684"}, {"ref": "ernestopablovallejo/exercise-introduction", "kernel_id": "35553172"}, {"ref": "ferziafirdousi/exercise-machine-learning-competitions", "kernel_id": "35938729"}, {"ref": "justinianus/housing-prices-competition-for-learn-user-top-2", "kernel_id": "35313811"}, {"ref": "georgepontes/ml-02-exercise-your-first-machine-learning-model", "kernel_id": "35311244"}, {"ref": "ryanbarretto/exercise-model-validation", "kernel_id": "35519952"}, {"ref": "faldoae/exercise-machine-learning-competitions", "kernel_id": "35431774"}, {"ref": "daniyalchohan/exercise-underfitting-and-overfitting", "kernel_id": "35412321"}, {"ref": "mkostams/exercise-model-validation", "kernel_id": "35307498"}, {"ref": "mkostams/exercise-your-not-my-first-machine-learning-model", "kernel_id": "35300322"}, {"ref": "sreen28g10/exercise-categorical-variables", "kernel_id": "35314496"}, {"ref": "sreen28g10/exercise-missing-values", "kernel_id": "35241008"}, {"ref": "sreen28g10/exercise-introduction", "kernel_id": "35235197"}, {"ref": "walimohamed/housing-prices-regression-models", "kernel_id": "35328837"}, {"ref": "victoryagbonighale/exercise-machine-learning-competitions", "kernel_id": "35006167"}, {"ref": "victoryagbonighale/exercise-random-forests", "kernel_id": "35005869"}, {"ref": "eceteoman/exercise-xgboost", "kernel_id": "35856572"}, {"ref": "omarnot2far/exercise-your-first-machine-learning-model", "kernel_id": "35443984"}, {"ref": "jadhavpranav/prediction", "kernel_id": "35728343"}, {"ref": "surjyaneehalder/house-price", "kernel_id": "35388367"}, {"ref": "meeratif/exercise-introduction", "kernel_id": "35380220"}, {"ref": "meeratif/exercise-pipelines", "kernel_id": "35380497"}, {"ref": "anushadixit1901/exercise-pipelines", "kernel_id": "35766094"}, {"ref": "reboot2h/exercise-random-forests", "kernel_id": "35529428"}, {"ref": "reboot2h/exercise-machine-learning-competitions", "kernel_id": "35529548"}, {"ref": "reboot2h/exercise-model-validation", "kernel_id": "35523608"}, {"ref": "reboot2h/exercise-underfitting-and-overfitting", "kernel_id": "35524519"}, {"ref": "reboot2h/exercise-your-first-machine-learning-model", "kernel_id": "35522641"}, {"ref": "reboot2h/exercise-data-leakage", "kernel_id": "35672047"}, {"ref": "reboot2h/exercise-introduction", "kernel_id": "35607817"}, {"ref": "reboot2h/exercise-missing-values", "kernel_id": "35609448"}, {"ref": "reboot2h/exercise-cross-validation", "kernel_id": "35655234"}, {"ref": "reboot2h/exercise-xgboost", "kernel_id": "35657179"}, {"ref": "reboot2h/exercise-pipelines", "kernel_id": "35650553"}, {"ref": "reboot2h/exercise-categorical-variables", "kernel_id": "35643956"}, {"ref": "loknathmahanthi/house-price-prediction", "kernel_id": "35587240"}, {"ref": "samirnunesdasilva/exercise-pipelines", "kernel_id": "35412774"}, {"ref": "victorcosta1/exercise-machine-learning-competitions", "kernel_id": "35612900"}, {"ref": "victorcosta1/exercise-random-forests", "kernel_id": "35612598"}, {"ref": "victorcosta1/exercise-missing-values", "kernel_id": "35991690"}, {"ref": "victorcosta1/exercise-underfitting-and-overfitting", "kernel_id": "35578917"}, {"ref": "victorcosta1/exercise-model-validation", "kernel_id": "35507324"}, {"ref": "victorcosta1/exercise-your-first-machine-learning-model", "kernel_id": "35506727"}, {"ref": "thepuzzlr/basic-data-exploration", "kernel_id": "35267504"}, {"ref": "thepuzzlr/your-first-machine-learning-model", "kernel_id": "35267529"}, {"ref": "thepuzzlr/how-models-work", "kernel_id": "35267453"}, {"ref": "thepuzzlr/model-validation", "kernel_id": "35267792"}, {"ref": "aldhanekadev/exercise-underfitting-and-overfitting", "kernel_id": "35085328"}, {"ref": "sujithmandala/house-price-prediction-regressor-models-top-2", "kernel_id": "35164768"}, {"ref": "sujithmandala/house-price-prediction-ensemble-model-99-r2", "kernel_id": "35271046"}, {"ref": "hiteshnegi07/exercise-pipelines", "kernel_id": "35714355"}, {"ref": "hiteshnegi07/exercise-missing-values", "kernel_id": "35703134"}, {"ref": "hiteshnegi07/exercise-introduction", "kernel_id": "35701529"}, {"ref": "hiteshnegi07/exercise-machine-learning-competitions", "kernel_id": "35686593"}, {"ref": "melisaaydnc/house-price-yar-ma-notebook", "kernel_id": "35377347"}, {"ref": "bharatkumarnadiminti/exercise-machine-learning-competitions", "kernel_id": "35973431"}, {"ref": "mohanadashour/houses-prices-model", "kernel_id": "35425637"}, {"ref": "ashishkoli19/exercise-machine-learning-competitions", "kernel_id": "35839535"}, {"ref": "spoortisharadpatil/exercise-machine-learning-competitions", "kernel_id": "35873216"}, {"ref": "aidanabaglanova/exercise-introduction", "kernel_id": "35143104"}, {"ref": "yapwh1208/machine-learning-starter-step-by-step-guide", "kernel_id": "35966460"}, {"ref": "preedame/exercise-underfitting-and-overfitting", "kernel_id": "35393127"}, {"ref": "preedame/exercise-random-forests", "kernel_id": "35394193"}, {"ref": "preedame/exercise-machine-learning-competitions", "kernel_id": "35394493"}, {"ref": "preedame/exercise-model-validation", "kernel_id": "35331560"}, {"ref": "thanhtinl/exercise-machine-learning-competitions", "kernel_id": "35557702"}, {"ref": "majidzanjani/exercise-categorical-variables", "kernel_id": "35808621"}, {"ref": "majidzanjani/exercise-introduction", "kernel_id": "35638533"}, {"ref": "majidzanjani/exercise-missing-values", "kernel_id": "35681081"}, {"ref": "majidzanjani/exercise-pipelines", "kernel_id": "35986306"}, {"ref": "hoawenlo/exercise-underfitting-and-overfitting", "kernel_id": "35910592"}, {"ref": "hoawenlo/exercise-your-first-machine-learning-model", "kernel_id": "35884359"}, {"ref": "hoawenlo/exercise-random-forests", "kernel_id": "35917481"}, {"ref": "leoparadox10/exercise-machine-learning-competitions", "kernel_id": "35665094"}, {"ref": "raulstefanpop/exercise-missing-values", "kernel_id": "35980766"}, {"ref": "anjusukumaran4/house-price-prediction", "kernel_id": "35899233"}, {"ref": "xemasancho/approach-to-housing-prices-competition", "kernel_id": "35509111"}, {"ref": "niralipatel20/all-cross-validations-on-house-price-dataset", "kernel_id": "35908127"}, {"ref": "aldocarranzaparedes/exercise-pipelines", "kernel_id": "35751067"}, {"ref": "samran98/exercise-4-pipelines", "kernel_id": "35870096"}, {"ref": "samran98/exercise-5-cross-validation", "kernel_id": "35870631"}, {"ref": "samran98/exercise-7-data-leakage", "kernel_id": "35896859"}, {"ref": "samran98/exercise-underfitting-and-overfitting", "kernel_id": "35667118"}, {"ref": "samran98/exercise-2-missing-values", "kernel_id": "35634907"}, {"ref": "samran98/exercise-1-introduction", "kernel_id": "35634678"}, {"ref": "samran98/exercise-3-categorical-variables", "kernel_id": "35649853"}, {"ref": "samran98/exercise-2-your-first-machine-learning-model", "kernel_id": "35655960"}, {"ref": "samran98/exercise-3-model-validation", "kernel_id": "35656242"}, {"ref": "samran98/exercise-6-machine-learning-competitions", "kernel_id": "35781128"}, {"ref": "hongdama99/exercise-xgboost", "kernel_id": "35010311"}, {"ref": "hongdama99/exercise-cross-validation", "kernel_id": "35004763"}, {"ref": "ardesh1r/prediction-from-scratch-0-82-cleaning-eda-ml", "kernel_id": "35008370"}, {"ref": "amoooooo/exercise-machine-learning-competitions", "kernel_id": "35237059"}, {"ref": "elissonsayagodias/exercise-pipelines", "kernel_id": "35661339"}, {"ref": "elmira7/exercise-machine-learning-competitions", "kernel_id": "35783069"}, {"ref": "aigetswild/house-price-machine-learning-competitions", "kernel_id": "35373640"}, {"ref": "huthayfahodeb/housing-prices", "kernel_id": "35707707"}, {"ref": "kpardhasai/exercise-your-first-machine-learning-model", "kernel_id": "35408183"}, {"ref": "kpardhasai/exercise-underfitting-and-overfitting", "kernel_id": "35411349"}, {"ref": "kpardhasai/exercise-random-forests", "kernel_id": "35411931"}, {"ref": "mythicaljay/housing-machine-learning-competition", "kernel_id": "35683708"}, {"ref": "einonm/house-price-prediction-fillna-and-mi", "kernel_id": "36602427"}, {"ref": "ahkhalwai55/beginner-basic-run-and-submit-prediction-kaggle", "kernel_id": "36324915"}, {"ref": "ahkhalwai55/prediction-of-house-price", "kernel_id": "36512932"}, {"ref": "catherning/house-price-prediction-notebook", "kernel_id": "36637339"}, {"ref": "siddhantbenake/notebookf31a8f2d6f", "kernel_id": "36464102"}, {"ref": "ryanbarretto/exercise-random-forests", "kernel_id": "36864937"}, {"ref": "varshakrishna/exercise-model-validation", "kernel_id": "36982531"}, {"ref": "varshakrishna/exercise-underfitting-and-overfitting", "kernel_id": "36983143"}, {"ref": "varshakrishna/exercise-random-forests", "kernel_id": "36983510"}, {"ref": "varshakrishna/exercise-machine-learning-competitions", "kernel_id": "36983759"}, {"ref": "varshakrishna/exercise-your-first-machine-learning-model", "kernel_id": "36981866"}, {"ref": "daniyalchohan/exercise-machine-learning-competitions", "kernel_id": "36626640"}, {"ref": "daniyalchohan/exercise-random-forests", "kernel_id": "36619174"}, {"ref": "daniyalchohan/exercise-introduction", "kernel_id": "36647753"}, {"ref": "daniyalchohan/exercise-missing-values", "kernel_id": "36670296"}, {"ref": "taylortyler/exercise-xgboost", "kernel_id": "36609645"}, {"ref": "jocelyndumlao/exercise-your-first-machine-learning-model", "kernel_id": "36947067"}, {"ref": "jocelyndumlao/exercise-underfitting-and-overfitting", "kernel_id": "36947988"}, {"ref": "jocelyndumlao/exercise-random-forests", "kernel_id": "36948331"}, {"ref": "jocelyndumlao/exercise-machine-learning-competitions", "kernel_id": "36948402"}, {"ref": "jocelyndumlao/exercise-model-validation", "kernel_id": "36947711"}, {"ref": "sabbirhosen00/exercise-underfitting-and-overfitting", "kernel_id": "36150767"}, {"ref": "sabbirhosen00/exercise-random-forests", "kernel_id": "36151085"}, {"ref": "sabbirhosen00/exercise-machine-learning-competitions", "kernel_id": "36151194"}, {"ref": "surjyaneehalder/exercise-categorical-variables", "kernel_id": "36477185"}, {"ref": "mateuszmachnowski/exercise-data-leakage", "kernel_id": "36245816"}, {"ref": "amalrajsingh/exercise-your-first-machine-learning-model", "kernel_id": "36639714"}, {"ref": "amalrajsingh/exercise-introduction", "kernel_id": "36803121"}, {"ref": "amalrajsingh/exercise-random-forests", "kernel_id": "36773322"}, {"ref": "amalrajsingh/exercise-machine-learning-competitions", "kernel_id": "36773677"}, {"ref": "amalrajsingh/exercise-model-validation", "kernel_id": "36685087"}, {"ref": "amalrajsingh/exercise-underfitting-and-overfitting", "kernel_id": "36685408"}, {"ref": "momenzanatii/exercise-machine-learning-competitions", "kernel_id": "36253209"}, {"ref": "pragatidwivedi/exercise-model-validation", "kernel_id": "36147404"}, {"ref": "pragatidwivedi/exercise-your-first-machine-learning-model", "kernel_id": "36146686"}, {"ref": "pragatidwivedi/exercise-underfitting-and-overfitting", "kernel_id": "36148208"}, {"ref": "pragatidwivedi/exercise-machine-learning-competitions", "kernel_id": "36349471"}, {"ref": "victorcosta1/exercise-pipelines", "kernel_id": "36759220"}, {"ref": "victorcosta1/exercise-cross-validation", "kernel_id": "36763130"}, {"ref": "victorcosta1/exercise-categorical-variables", "kernel_id": "36607721"}, {"ref": "habiba12/exercise-your-first-machine-learning-model", "kernel_id": "36644870"}, {"ref": "singh1ankit/exercise-machine-learning-competitions-home-data", "kernel_id": "36817642"}, {"ref": "singh1ankit/exercise-random-forests", "kernel_id": "36816713"}, {"ref": "singh1ankit/exercise-your-first-machine-learning-model", "kernel_id": "36686434"}, {"ref": "singh1ankit/exercise-model-validation", "kernel_id": "36705755"}, {"ref": "singh1ankit/exercise-underfitting-and-overfitting", "kernel_id": "36710805"}, {"ref": "muskanhanda2511/exercise-random-forests", "kernel_id": "36554790"}, {"ref": "muskanhanda2511/exercise-machine-learning-competitions", "kernel_id": "36554926"}, {"ref": "muskanhanda2511/exercise-underfitting-and-overfitting", "kernel_id": "36553045"}, {"ref": "muskanhanda2511/exercise-your-first-machine-learning-model", "kernel_id": "36545919"}, {"ref": "muskanhanda2511/exercise-model-validation", "kernel_id": "36546714"}, {"ref": "sabahesaraki/exercise-your-first-machine-learning-model", "kernel_id": "36453768"}, {"ref": "sabahesaraki/exercise-machine-learning-competitions", "kernel_id": "36457665"}, {"ref": "sabahesaraki/exercise-random-forests", "kernel_id": "36457034"}, {"ref": "sabahesaraki/exercise-underfitting-and-overfitting", "kernel_id": "36455237"}, {"ref": "sabahesaraki/exercise-model-validation", "kernel_id": "36454390"}, {"ref": "sabahesaraki/exercise-pipelines", "kernel_id": "36639098"}, {"ref": "sabahesaraki/exercise-categorical-variables", "kernel_id": "36637786"}, {"ref": "sabahesaraki/exercise-missing-values", "kernel_id": "36632976"}, {"ref": "sabahesaraki/exercise-introduction", "kernel_id": "36631651"}, {"ref": "sabahesaraki/exercise-cross-validation", "kernel_id": "36694446"}, {"ref": "sabahesaraki/exercise-xgboost", "kernel_id": "36695161"}, {"ref": "sabahesaraki/exercise-data-leakage", "kernel_id": "36695842"}, {"ref": "sahinemin/exercise-underfitting-and-overfitting", "kernel_id": "36548136"}, {"ref": "abid2362/exercise-random-forests", "kernel_id": "36195135"}, {"ref": "peterkurkin/catboostregressor", "kernel_id": "36967483"}, {"ref": "saifbodu/exercise-your-first-machine-learning-model", "kernel_id": "36995869"}, {"ref": "hasnarahmaniaputri/exercise-random-forests", "kernel_id": "36988670"}, {"ref": "alexanderkapralov/catboost-version-2", "kernel_id": "36555746"}, {"ref": "saichaithanya6/decision-tree-and-random-forest-model", "kernel_id": "36535613"}, {"ref": "pandamn/exercise-machine-learning-competitions", "kernel_id": "36258266"}, {"ref": "shreyashjaiswalshrey/exercise-machine-learning-competitions", "kernel_id": "36260994"}, {"ref": "tokaeid/exercise-categorical-variables", "kernel_id": "36413609"}, {"ref": "tokaeid/exercise-missing-values", "kernel_id": "36412169"}, {"ref": "tokaeid/exercise-cross-validation", "kernel_id": "36517766"}, {"ref": "tokaeid/exercise-pipelines", "kernel_id": "36515818"}, {"ref": "tokaeid/exercise-random-forests", "kernel_id": "36379802"}, {"ref": "tokaeid/exercise-machine-learning-competitions", "kernel_id": "36380057"}, {"ref": "laraiki/exercise-pipelines", "kernel_id": "36848337"}, {"ref": "laraiki/exercise-introduction", "kernel_id": "36583377"}, {"ref": "aashitagrawal/average-score-of-two-model-housing-price", "kernel_id": "36465064"}, {"ref": "nuttanichamuangmool/exercise-model-validation", "kernel_id": "36372151"}, {"ref": "nuttanichamuangmool/exercise-random-forests", "kernel_id": "36372526"}, {"ref": "velikz/exercise-pipelines", "kernel_id": "36273110"}, {"ref": "majidzanjani/exercise-cross-validation", "kernel_id": "36115401"}, {"ref": "majidzanjani/exercise-data-leakage", "kernel_id": "36167629"}, {"ref": "majidzanjani/exercise-xgboost", "kernel_id": "36166736"}, {"ref": "amerlitong/exercise-machine-learning-competitions", "kernel_id": "36024046"}, {"ref": "bradyfisher27/housing-prices-machine-learning-project", "kernel_id": "36907445"}, {"ref": "bharatikulkarni1806/exercise-your-first-machine-learning-model", "kernel_id": "36977418"}, {"ref": "oliveiralcn/exercise-your-first-machine-learning-model", "kernel_id": "36515365"}, {"ref": "dreygaen/house-prices-exploratory-data-analysis", "kernel_id": "36799650"}, {"ref": "offerl/exercise-your-first-machine-learning-model", "kernel_id": "36913836"}, {"ref": "offerl/exercise-random-forests", "kernel_id": "36937191"}, {"ref": "offerl/exercise-machine-learning-competitions", "kernel_id": "36937411"}, {"ref": "offerl/exercise-missing-values", "kernel_id": "36957497"}, {"ref": "offerl/exercise-introduction", "kernel_id": "36943254"}, {"ref": "mohamedelkarakhi/house-prediction", "kernel_id": "36068318"}, {"ref": "nyukilelmet/exercise-random-forests", "kernel_id": "36216281"}, {"ref": "nyukilelmet/exercise-underfitting-and-overfitting", "kernel_id": "36201787"}, {"ref": "nyukilelmet/exercise-your-first-machine-learning-model", "kernel_id": "36197751"}, {"ref": "nyukilelmet/exercise-model-validation", "kernel_id": "36199137"}, {"ref": "oooraa/exercise-underfitting-and-overfitting", "kernel_id": "36380482"}, {"ref": "oooraa/exercise-model-validation", "kernel_id": "36379682"}, {"ref": "oooraa/exercise-your-first-machine-learning-model", "kernel_id": "36379243"}, {"ref": "oooraa/exercise-machine-learning-competitions", "kernel_id": "36397468"}, {"ref": "oooraa/exercise-random-forests", "kernel_id": "36396761"}, {"ref": "rahmakallel/exercise-machine-learning-competitions", "kernel_id": "36402135"}, {"ref": "rahmakallel/exercise-xgboost", "kernel_id": "36642423"}, {"ref": "rahmakallel/exercise-pipelines", "kernel_id": "36566219"}, {"ref": "psivakavi/exercise-your-first-machine-learning-model", "kernel_id": "36808789"}, {"ref": "aurishhammadhafeez/exercise-random-forests", "kernel_id": "36664256"}, {"ref": "subhrojyotighosh/exercise-machine-learning-competitions", "kernel_id": "36770644"}, {"ref": "darktrade8787/exercise-your-first-machine-learning-model", "kernel_id": "36974462"}, {"ref": "fennecus/housing-prices-prediction-with-catboost-top-1", "kernel_id": "37703885"}, {"ref": "nguyenvanzk/exercise-machine-learning-competitions", "kernel_id": "37079161"}, {"ref": "ahkhalwai55/hp-a15", "kernel_id": "37866091"}, {"ref": "moonlightkim/house-prices-competition-random-forest", "kernel_id": "37446231"}, {"ref": "oybekeraliev/complete-analysis-and-housing-price-prediction", "kernel_id": "37103191"}, {"ref": "adriandiazny/pipelines", "kernel_id": "37338305"}, {"ref": "kyatinadia/exercise-your-first-machine-learning-model", "kernel_id": "37653217"}, {"ref": "thepike/exercise-machine-learning-competitions", "kernel_id": "37650424"}, {"ref": "mahidul1slam/exercise-machine-learning-competitions", "kernel_id": "37982035"}, {"ref": "alirezasoltanikh/exercise-machine-learning-competitions", "kernel_id": "37151663"}, {"ref": "nikodemw/house-comp", "kernel_id": "37115198"}, {"ref": "mrciofeitosa/exercise-introduction", "kernel_id": "37382709"}, {"ref": "muhammadazeemshahzad/exercise-categorical-variables", "kernel_id": "37718717"}, {"ref": "gohargevorgyan/exercise-introduction", "kernel_id": "37612664"}, {"ref": "peterkurkin/catboostregressor-patrick-18-04", "kernel_id": "37400971"}, {"ref": "maratelagin/catboostregressor-18-04", "kernel_id": "37428654"}, {"ref": "shutafujiwara/exercise-machine-learning-competitions", "kernel_id": "37358884"}, {"ref": "hasnarahmaniaputri/exercise-xgboost", "kernel_id": "37895707"}, {"ref": "hasnarahmaniaputri/exercise-pipelines", "kernel_id": "37895424"}, {"ref": "alexanderkapralov/catboost-k-means", "kernel_id": "37261294"}, {"ref": "kitoster/decision-tree-vs-random-forest", "kernel_id": "37565805"}, {"ref": "ashx010/house-price-prediction-with-gridsearchcv", "kernel_id": "37469537"}, {"ref": "migueltorresacosta/housing-prices-competition", "kernel_id": "37587735"}, {"ref": "muhammadsalahmustafa/exercise-introduction", "kernel_id": "37963720"}, {"ref": "anushrisha/exercise-your-first-machine-learning-model", "kernel_id": "37461953"}, {"ref": "anushrisha/exercise-random-forests", "kernel_id": "37507629"}, {"ref": "anushrisha/exercise-underfitting-and-overfitting", "kernel_id": "37506417"}, {"ref": "anushrisha/exercise-model-validation", "kernel_id": "37502386"}, {"ref": "jhucul/exercise-your-first-machine-learning-model", "kernel_id": "37189719"}, {"ref": "jhucul/exercise-model-validation", "kernel_id": "37195063"}, {"ref": "simrell/exercise-machine-learning-competitions", "kernel_id": "37570383"}, {"ref": "tasbeet/exercise-your-first-machine-learning-model", "kernel_id": "37968019"}, {"ref": "shrey0601patel/housing", "kernel_id": "37073329"}, {"ref": "arslanr369/exercise-missing-values", "kernel_id": "37968062"}, {"ref": "kingki19/exercise-machine-learning-competitions", "kernel_id": "37996247"}, {"ref": "remytresor/exercise-cross-validation", "kernel_id": "37956174"}, {"ref": "paulafpsimionato/exercise-data-leakage", "kernel_id": "37580899"}, {"ref": "mecer80/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "37968664"}, {"ref": "saadatkhalid/machine-learning-competitions", "kernel_id": "37867081"}, {"ref": "nyukilelmet/exercise-missing-values", "kernel_id": "37292881"}, {"ref": "nyukilelmet/exercise-categorical-variables", "kernel_id": "37319753"}, {"ref": "nyukilelmet/exercise-pipelines", "kernel_id": "37373498"}, {"ref": "nyukilelmet/exercise-data-leakage", "kernel_id": "37445613"}, {"ref": "nyukilelmet/exercise-xgboost", "kernel_id": "37443371"}, {"ref": "nyukilelmet/exercise-cross-validation", "kernel_id": "37421595"}, {"ref": "csupples/exercise-random-forests", "kernel_id": "37478970"}, {"ref": "gheehean/exercise-machine-learning-competitions", "kernel_id": "37892676"}, {"ref": "itishreesoni/exercise-your-first-machine-learning-model", "kernel_id": "37165551"}, {"ref": "alierkamgndodu/exercise-machine-learning-competitions", "kernel_id": "37141307"}, {"ref": "rennoissanse/exercise-your-first-machine-learning-model", "kernel_id": "37221014"}, {"ref": "diegofalconc/exercise-random-forests", "kernel_id": "37600966"}, {"ref": "katii696/exercise-model-validation", "kernel_id": "37551490"}, {"ref": "sanelembuyane/exercise-model-validation", "kernel_id": "37294686"}, {"ref": "sanelembuyane/exercise-your-first-machine-learning-model", "kernel_id": "37293406"}, {"ref": "sanelembuyane/exercise-underfitting-and-overfitting", "kernel_id": "37295904"}, {"ref": "sanelembuyane/exercise-random-forests", "kernel_id": "37296256"}, {"ref": "sanelembuyane/exercise-machine-learning-competitions", "kernel_id": "37296581"}, {"ref": "mehmetcubukcu/exercise-machine-learning-competitions", "kernel_id": "37310499"}, {"ref": "mehmetcubukcu/exercise-missing-values", "kernel_id": "37341051"}, {"ref": "ltmnhnguyn/exercise-machine-learning-competitions", "kernel_id": "37669906"}, {"ref": "varunshankard/exercise-your-first-machine-learning-model", "kernel_id": "37573866"}, {"ref": "florentroques/exercise-your-first-machine-learning-model", "kernel_id": "38979899"}, {"ref": "nivedithavudayagiri/housing-prices-prediction", "kernel_id": "38449827"}, {"ref": "rohandixit/exercise-your-first-machine-learning-model", "kernel_id": "38427195"}, {"ref": "william2020/exercise-random-forests", "kernel_id": "38904584"}, {"ref": "william2020/exercise-underfitting-and-overfitting", "kernel_id": "38903613"}, {"ref": "william2020/exercise-model-validation", "kernel_id": "38877360"}, {"ref": "william2020/exercise-your-first-machine-learning-model", "kernel_id": "38876054"}, {"ref": "emmanuelevilafo/exercise-xgboost", "kernel_id": "38293659"}, {"ref": "emmanuelevilafo/exercise-categorical-variables", "kernel_id": "38293091"}, {"ref": "emmanuelevilafo/exercise-pipelines", "kernel_id": "38293423"}, {"ref": "emmanuelevilafo/exercise-cross-validation", "kernel_id": "38293486"}, {"ref": "emmanuelevilafo/exercise-introduction", "kernel_id": "38277664"}, {"ref": "emmanuelevilafo/exercise-missing-values", "kernel_id": "38278431"}, {"ref": "emmanuelevilafo/exercise-data-leakage", "kernel_id": "38319522"}, {"ref": "oybekeraliev/house-prices-prediction-eda-top-5", "kernel_id": "38345849"}, {"ref": "bhanujoshkakarla/exercise-underfitting-and-overfitting", "kernel_id": "38144827"}, {"ref": "bhanujoshkakarla/exercise-model-validation", "kernel_id": "38143918"}, {"ref": "shikharcodes/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "38036544"}, {"ref": "alirezaatashnejad/exercise-model-validation", "kernel_id": "38568408"}, {"ref": "jocelyndumlao/exercise-pipelines", "kernel_id": "38285348"}, {"ref": "jocelyndumlao/exercise-cross-validation", "kernel_id": "38285857"}, {"ref": "jocelyndumlao/exercise-xgboost", "kernel_id": "38286389"}, {"ref": "jocelyndumlao/exercise-data-leakage", "kernel_id": "38286782"}, {"ref": "jocelyndumlao/exercise-categorical-variables", "kernel_id": "38252934"}, {"ref": "jocelyndumlao/exercise-introduction", "kernel_id": "38251256"}, {"ref": "jocelyndumlao/exercise-missing-values", "kernel_id": "38251699"}, {"ref": "prashantgehlot2404/exercise-model-validation", "kernel_id": "38725626"}, {"ref": "prashantgehlot2404/exercise-random-forests", "kernel_id": "38727697"}, {"ref": "prashantgehlot2404/exercise-machine-learning-competitions", "kernel_id": "38727954"}, {"ref": "prashantgehlot2404/exercise-underfitting-and-overfitting", "kernel_id": "38726968"}, {"ref": "prashantgehlot2404/exercise-your-first-machine-learning-model", "kernel_id": "38720750"}, {"ref": "giove1/exercise-underfitting-and-overfitting", "kernel_id": "38537330"}, {"ref": "giove1/exercise-model-validation", "kernel_id": "38519550"}, {"ref": "giove1/exercise-your-first-machine-learning-model", "kernel_id": "38517384"}, {"ref": "giove1/exercise-machine-learning-competitions", "kernel_id": "38539168"}, {"ref": "giove1/exercise-random-forests", "kernel_id": "38538144"}, {"ref": "giove1/exercise-introduction", "kernel_id": "38608045"}, {"ref": "nabarajpokhrel/exercise-missing-values", "kernel_id": "38570056"}, {"ref": "mohsinfo/exercise-machine-learning-competitions", "kernel_id": "38667329"}, {"ref": "shaniquehines/housing-price-analysis-and-prediction", "kernel_id": "38426513"}, {"ref": "ibraheemalawode/exercise-random-forests", "kernel_id": "38666276"}, {"ref": "ibraheemalawode/exercise-underfitting-and-overfitting", "kernel_id": "38665249"}, {"ref": "ibraheemalawode/exercise-model-validation", "kernel_id": "38613271"}, {"ref": "rashaali2003/top-1-housing-price-eda-random-for-everyone", "kernel_id": "38369232"}, {"ref": "alexanderkapralov/h-clustering", "kernel_id": "38170704"}, {"ref": "ahmadzargar/exercise-pipelines", "kernel_id": "38951769"}, {"ref": "pavan4679/exercise-machine-learning-competitions", "kernel_id": "38481488"}, {"ref": "saifulislam49/exercise-machine-learning-competitions", "kernel_id": "38637965"}, {"ref": "marwanashraf22/exercise-xgboost", "kernel_id": "38681378"}, {"ref": "mahmedjaved/exercise-your-first-machine-learning-model", "kernel_id": "38070192"}, {"ref": "mahmedjaved/exercise-model-validation", "kernel_id": "38076226"}, {"ref": "mahmedjaved/exercise-underfitting-and-overfitting", "kernel_id": "38105146"}, {"ref": "ezequielalvessoares/vari-veis-categ-ricas", "kernel_id": "38153836"}, {"ref": "minalijain/exercise-your-first-machine-learning-model", "kernel_id": "38904675"}, {"ref": "minalijain/exercise-model-validation", "kernel_id": "38962925"}, {"ref": "minalijain/exercise-underfitting-and-overfitting", "kernel_id": "38966471"}, {"ref": "minalijain/exercise-random-forests", "kernel_id": "38966762"}, {"ref": "minalijain/exercise-machine-learning-competitions", "kernel_id": "38967098"}, {"ref": "chaitybarua/exercise-missing-values", "kernel_id": "38203759"}, {"ref": "ahmedatef163/machine-learning-competitions", "kernel_id": "38869045"}, {"ref": "almaasizdihar/machine-learning-house-competitions-version-2", "kernel_id": "38572290"}, {"ref": "dawidbis/top-1-approach-with-eda-and-xgboost", "kernel_id": "38784093"}, {"ref": "raonygauto/exercise-introduction", "kernel_id": "38270825"}, {"ref": "ariunzayaerdenebileg/notebookbac23a0c0f", "kernel_id": "38750922"}, {"ref": "atuljo/exercise-pipelines", "kernel_id": "38752175"}, {"ref": "divyanshnautiyal/exercise-pipelines", "kernel_id": "38057970"}, {"ref": "arcielbaez/exercise-pipelines", "kernel_id": "38230794"}, {"ref": "davidgbaja/exercise-machine-learning-competitions", "kernel_id": "38602526"}, {"ref": "sjwhole/using-random-forest-with-imputer-and-encoder", "kernel_id": "38139590"}, {"ref": "kwabenaobeng/exercise-machine-learning-competitions", "kernel_id": "38976196"}, {"ref": "kwabenaobeng/exercise-underfitting-and-overfitting", "kernel_id": "38896526"}, {"ref": "kwabenaobeng/exercise-random-forests", "kernel_id": "38930017"}, {"ref": "kwabenaobeng/exercise-model-validation", "kernel_id": "38853249"}, {"ref": "kwabenaobeng/exercise-your-first-machine-learning-model", "kernel_id": "38848477"}, {"ref": "shaunakmandal/exercise-your-first-machine-learning-model", "kernel_id": "38651976"}, {"ref": "punyamodi/house-price-competitions", "kernel_id": "38446987"}, {"ref": "danielssaskovs/exercise-machine-learning-competitions", "kernel_id": "38751998"}, {"ref": "ginny100/exercise-machine-learning-competitions", "kernel_id": "38686619"}, {"ref": "shuzhen2illinoisedu/exercise-machine-learning-competitions", "kernel_id": "38832129"}, {"ref": "samuelsitumeang/housing-prices-prediction-using-xgboost", "kernel_id": "39720042"}, {"ref": "zaferaydin/comp-468-spring-2024-homework-3-template", "kernel_id": "39102299"}, {"ref": "danielamn/exercise-introduction", "kernel_id": "39562880"}, {"ref": "daniyalchohan/exercise-pipelines", "kernel_id": "39966944"}, {"ref": "daniyalchohan/exercise-categorical-variables", "kernel_id": "39823990"}, {"ref": "walimohamed/housing-prices-prediction", "kernel_id": "39703940"}, {"ref": "deodatobastos/exercise-your-first-machine-learning-model", "kernel_id": "39265257"}, {"ref": "deodatobastos/exercise-underfitting-and-overfitting", "kernel_id": "39267402"}, {"ref": "deodatobastos/exercise-model-validation", "kernel_id": "39266789"}, {"ref": "deodatobastos/exercise-machine-learning-competitions", "kernel_id": "39268387"}, {"ref": "deodatobastos/exercise-random-forests", "kernel_id": "39268084"}, {"ref": "deodatobastos/exercise-introduction", "kernel_id": "39270017"}, {"ref": "deodatobastos/exercise-data-leakage", "kernel_id": "39286017"}, {"ref": "deodatobastos/exercise-xgboost", "kernel_id": "39279689"}, {"ref": "deodatobastos/exercise-cross-validation", "kernel_id": "39278614"}, {"ref": "deodatobastos/exercise-categorical-variables", "kernel_id": "39276048"}, {"ref": "deodatobastos/exercise-pipelines", "kernel_id": "39277660"}, {"ref": "deodatobastos/exercise-missing-values", "kernel_id": "39270786"}, {"ref": "prashantgehlot2404/exercise-cross-validation", "kernel_id": "39931612"}, {"ref": "prashantgehlot2404/exercise-data-leakage", "kernel_id": "39935178"}, {"ref": "prashantgehlot2404/exercise-xgboost", "kernel_id": "39933672"}, {"ref": "prashantgehlot2404/exercise-introduction", "kernel_id": "39756282"}, {"ref": "prashantgehlot2404/exercise-pipelines", "kernel_id": "39875466"}, {"ref": "prashantgehlot2404/exercise-missing-values", "kernel_id": "39804065"}, {"ref": "prashantgehlot2404/exercise-categorical-variables", "kernel_id": "39805860"}, {"ref": "asheshsaha/exercise-your-first-machine-learning-model", "kernel_id": "39661597"}, {"ref": "othondaikiishiyi/exercise-pipelines", "kernel_id": "39545356"}, {"ref": "othondaikiishiyi/exercise-data-leakage", "kernel_id": "39590521"}, {"ref": "othondaikiishiyi/exercise-cross-validation", "kernel_id": "39588586"}, {"ref": "othondaikiishiyi/exercise-xgboost", "kernel_id": "39589736"}, {"ref": "giove1/exercise-missing-values", "kernel_id": "39366939"}, {"ref": "giove1/exercise-categorical-variables", "kernel_id": "39491933"}, {"ref": "giove1/exercise-cross-validation", "kernel_id": "39509702"}, {"ref": "giove1/exercise-pipelines", "kernel_id": "39503818"}, {"ref": "daryaefimova/exercise-machine-learning-competitions", "kernel_id": "39803393"}, {"ref": "mohamedbissane/improving-the-model-to-predict-house-prices", "kernel_id": "39153555"}, {"ref": "samirnunesdasilva/exercise-cross-validation", "kernel_id": "39121022"}, {"ref": "samirnunesdasilva/exercise-data-leakage", "kernel_id": "39121435"}, {"ref": "samirnunesdasilva/exercise-xgboost", "kernel_id": "39121268"}, {"ref": "shivamsingh17072001/exercise-missing-values", "kernel_id": "39862195"}, {"ref": "brandonwohlwend/gradient-boosting-top-5", "kernel_id": "39921614"}, {"ref": "mahmoudeldaoshy/exercise-machine-learning-competitions", "kernel_id": "39889700"}, {"ref": "ihssaneaitidir/exercise-machine-learning-competitions", "kernel_id": "39503930"}, {"ref": "karmansinghbains/housing-price-gradientboost-tuning-lr", "kernel_id": "39780441"}, {"ref": "tarifraihan/exercise-underfitting-and-overfitting", "kernel_id": "39213071"}, {"ref": "tarifraihan/exercise-random-forests", "kernel_id": "39213093"}, {"ref": "tarifraihan/notebook4fa25b8e82", "kernel_id": "39468425"}, {"ref": "tarifraihan/exercise-machine-learning-competitions", "kernel_id": "39384061"}, {"ref": "andrmesquitarios/exercise-model-validation", "kernel_id": "39561922"}, {"ref": "andrmesquitarios/exercise-random-forests", "kernel_id": "39562430"}, {"ref": "andrmesquitarios/exercise-your-first-machine-learning-model", "kernel_id": "39561364"}, {"ref": "andrmesquitarios/exercise-underfitting-and-overfitting", "kernel_id": "39562244"}, {"ref": "nikitaram/exercise-machine-learning-competitions", "kernel_id": "39541751"}, {"ref": "miguelanjo/exercise-categorical-variables", "kernel_id": "39565261"}, {"ref": "miguelanjo/exercise-your-first-machine-learning-model", "kernel_id": "39392394"}, {"ref": "miguelanjo/exercise-model-validation", "kernel_id": "39394603"}, {"ref": "miguelanjo/exercise-underfitting-and-overfitting", "kernel_id": "39510062"}, {"ref": "miguelanjo/exercise-random-forests", "kernel_id": "39510922"}, {"ref": "miguelanjo/exercise-machine-learning-competitions", "kernel_id": "39511019"}, {"ref": "miguelanjo/exercise-introduction", "kernel_id": "39517231"}, {"ref": "bagusakhlaq/house-pricing-machine-learning-competitions-learn", "kernel_id": "39331380"}, {"ref": "tamaturgo/house-prices-learning", "kernel_id": "39891018"}, {"ref": "jhucul/exercise-underfitting-and-overfitting", "kernel_id": "39089451"}, {"ref": "suprajasesh/housing-rf-gb", "kernel_id": "39051160"}, {"ref": "garethtirop/exercise-pipelines", "kernel_id": "39166585"}, {"ref": "garethtirop/exercise-cross-validation", "kernel_id": "39208265"}, {"ref": "garethtirop/exercise-xgboost", "kernel_id": "39268874"}, {"ref": "gustavofadel/modelo-para-pre-os-de-im-veis", "kernel_id": "39669960"}, {"ref": "iluyza/asylgareeva", "kernel_id": "39185071"}, {"ref": "priyanshurao0001/exercise-machine-learning-competitions", "kernel_id": "39965797"}, {"ref": "mayurv2002/exercise-pipelines", "kernel_id": "39738355"}, {"ref": "salehzeer/underfitting-and-overfitting", "kernel_id": "39117480"}, {"ref": "hannamelnyk/exercise-categorical-variables", "kernel_id": "39974436"}, {"ref": "marinatsvetkova/exercise-your-first-machine-learning-model", "kernel_id": "39185687"}, {"ref": "manjunathmunigowda/exercise-categorical-variables", "kernel_id": "39840709"}, {"ref": "viniciusjmpereira/exercise-introduction", "kernel_id": "39179483"}, {"ref": "viniciusjmpereira/exercise-missing-values", "kernel_id": "39179901"}, {"ref": "viniciusjmpereira/exercise-categorical-variables", "kernel_id": "39184034"}, {"ref": "viniciusjmpereira/exercise-pipelines", "kernel_id": "39224100"}, {"ref": "viniciusjmpereira/exercise-random-forests", "kernel_id": "39082176"}, {"ref": "viniciusjmpereira/exercise-machine-learning-competitions", "kernel_id": "39082188"}, {"ref": "viniciusjmpereira/exercise-underfitting-and-overfitting", "kernel_id": "39081892"}, {"ref": "viniciusjmpereira/exercise-your-first-machine-learning-model", "kernel_id": "39078646"}, {"ref": "viniciusjmpereira/exercise-model-validation", "kernel_id": "39081671"}, {"ref": "viniciusjmpereira/exercise-cross-validation", "kernel_id": "39554991"}, {"ref": "viniciusjmpereira/exercise-xgboost", "kernel_id": "39602210"}, {"ref": "viniciusjmpereira/exercise-data-leakage", "kernel_id": "39602933"}, {"ref": "felipespirandelli/exercise-pipelines", "kernel_id": "39340432"}, {"ref": "felipespirandelli/exercise-xgboost", "kernel_id": "39342852"}, {"ref": "felipespirandelli/exercise-categorical-variables", "kernel_id": "39310993"}, {"ref": "felipespirandelli/exercise-missing-values", "kernel_id": "39308694"}, {"ref": "felipespirandelli/exercise-introduction", "kernel_id": "39308073"}, {"ref": "felipespirandelli/exercise-random-forests", "kernel_id": "39307465"}, {"ref": "felipespirandelli/exercise-machine-learning-competitions", "kernel_id": "39307607"}, {"ref": "felipespirandelli/exercise-data-leakage", "kernel_id": "39345194"}, {"ref": "felipespirandelli/exercise-your-first-machine-learning-model", "kernel_id": "39305456"}, {"ref": "felipespirandelli/exercise-underfitting-and-overfitting", "kernel_id": "39306517"}, {"ref": "felipespirandelli/exercise-model-validation", "kernel_id": "39305951"}, {"ref": "beatolinux/exercise-categorical-variables", "kernel_id": "39570523"}, {"ref": "beatolinux/exercise-pipelines", "kernel_id": "39570533"}, {"ref": "beatolinux/exercise-cross-validation", "kernel_id": "39570538"}, {"ref": "beatolinux/exercise-xgboost", "kernel_id": "39570551"}, {"ref": "beatolinux/exercise-data-leakage", "kernel_id": "39570567"}, {"ref": "beatolinux/exercise-model-validation", "kernel_id": "39565041"}, {"ref": "beatolinux/exercise-introduction", "kernel_id": "39569293"}, {"ref": "beatolinux/exercise-missing-values", "kernel_id": "39570242"}, {"ref": "beatolinux/exercise-random-forests", "kernel_id": "39566761"}, {"ref": "beatolinux/exercise-machine-learning-competitions", "kernel_id": "39566851"}, {"ref": "beatolinux/exercise-underfitting-and-overfitting", "kernel_id": "39566264"}, {"ref": "beatolinux/exercise-your-first-machine-learning-model", "kernel_id": "39561915"}, {"ref": "adithyavenkatesh/housing-prices-competition", "kernel_id": "39250101"}, {"ref": "sarahportelasalehi/regress-o-atividade-t-picos", "kernel_id": "39808867"}, {"ref": "elliep529/exercise-machine-learning-competitions", "kernel_id": "39289376"}, {"ref": "guilhermealt/exercise-missing-values", "kernel_id": "39564463"}, {"ref": "guilhermealt/exercise-categorical-variables", "kernel_id": "39566640"}, {"ref": "guilhermealt/exercise-pipelines", "kernel_id": "39569873"}, {"ref": "guilhermealt/exercise-introduction", "kernel_id": "39543092"}, {"ref": "guilhermealt/exercise-your-first-machine-learning-model", "kernel_id": "39505786"}, {"ref": "guilhermealt/exercise-random-forests", "kernel_id": "39507471"}, {"ref": "guilhermealt/exercise-underfitting-and-overfitting", "kernel_id": "39506987"}, {"ref": "guilhermealt/exercise-model-validation", "kernel_id": "39506577"}, {"ref": "kailungb/notebook7080c16c6b", "kernel_id": "39351988"}, {"ref": "denysderlian/exercise-introduction", "kernel_id": "39958893"}, {"ref": "denysderlian/exercise-random-forests", "kernel_id": "39957265"}, {"ref": "denysderlian/exercise-machine-learning-competitions", "kernel_id": "39957463"}, {"ref": "denysderlian/exercise-missing-values", "kernel_id": "39959417"}, {"ref": "denysderlian/exercise-your-first-machine-learning-model", "kernel_id": "39955107"}, {"ref": "denysderlian/exercise-underfitting-and-overfitting", "kernel_id": "39956426"}, {"ref": "denysderlian/exercise-model-validation", "kernel_id": "39955780"}, {"ref": "giuseppevb/exercise-categorical-variables", "kernel_id": "39973986"}, {"ref": "giuseppevb/exercise-missing-values", "kernel_id": "39845114"}, {"ref": "giuseppevb/exercise-random-forests", "kernel_id": "39836841"}, {"ref": "giuseppevb/exercise-machine-learning-competitions", "kernel_id": "39837189"}, {"ref": "giuseppevb/exercise-underfitting-and-overfitting", "kernel_id": "39835890"}, {"ref": "giuseppevb/exercise-introduction", "kernel_id": "39843819"}, {"ref": "giuseppevb/exercise-your-first-machine-learning-model", "kernel_id": "39833392"}, {"ref": "giuseppevb/exercise-model-validation", "kernel_id": "39834470"}, {"ref": "karinatm/exercise-underfitting-and-overfitting", "kernel_id": "39962150"}, {"ref": "karinatm/exercise-random-forests", "kernel_id": "39964259"}, {"ref": "karinatm/exercise-your-first-machine-learning-model", "kernel_id": "39940235"}, {"ref": "karinatm/exercise-model-validation", "kernel_id": "39941704"}, {"ref": "shashankacharya2048/exercise-your-first-machine-learning-model", "kernel_id": "39899397"}, {"ref": "surendrakothapalli7/exercise-your-first-machine-learning-model", "kernel_id": "39997573"}, {"ref": "surendrakothapalli7/exercise-model-validation", "kernel_id": "39997585"}, {"ref": "surendrakothapalli7/exercise-underfitting-and-overfitting", "kernel_id": "39997594"}, {"ref": "surendrakothapalli7/exercise-random-forests", "kernel_id": "39997604"}, {"ref": "surendrakothapalli7/exercise-machine-learning-competitions", "kernel_id": "39997617"}, {"ref": "oswaldomezaleon/randomforest-and-data-exploration", "kernel_id": "40774682"}, {"ref": "dquint/exercise-xgboost", "kernel_id": "40342678"}, {"ref": "dquint/exercise-data-leakage", "kernel_id": "40342863"}, {"ref": "dquint/exercise-missing-values", "kernel_id": "40338858"}, {"ref": "dquint/exercise-introduction", "kernel_id": "40338560"}, {"ref": "dquint/exercise-categorical-variables", "kernel_id": "40340148"}, {"ref": "dquint/exercise-pipelines", "kernel_id": "40341185"}, {"ref": "dquint/exercise-cross-validation", "kernel_id": "40341397"}, {"ref": "dquint/exercise-model-validation", "kernel_id": "40335861"}, {"ref": "dquint/exercise-your-first-machine-learning-model", "kernel_id": "40335538"}, {"ref": "dquint/exercise-underfitting-and-overfitting", "kernel_id": "40336097"}, {"ref": "dquint/exercise-random-forests", "kernel_id": "40336350"}, {"ref": "dquint/exercise-machine-learning-competitions", "kernel_id": "40336412"}, {"ref": "divsauce/housing-prices-with-random-forest", "kernel_id": "40269735"}, {"ref": "faldoae/exercise-your-first-machine-learning-model", "kernel_id": "40883153"}, {"ref": "daniyalchohan/exercise-xgboost", "kernel_id": "40424703"}, {"ref": "daniyalchohan/exercise-cross-validation", "kernel_id": "40285557"}, {"ref": "shubhamgupta012/exercise-machine-learning-competitions", "kernel_id": "40609238"}, {"ref": "shubhamgupta012/exercise-random-forests", "kernel_id": "40609137"}, {"ref": "shubhamgupta012/exercise-pipelines", "kernel_id": "40616122"}, {"ref": "ubaydulloasatullaev/categorical-variables", "kernel_id": "40713171"}, {"ref": "ubaydulloasatullaev/machine-learning-inter", "kernel_id": "40709955"}, {"ref": "ubaydulloasatullaev/missing-values", "kernel_id": "40711190"}, {"ref": "ubaydulloasatullaev/underfitting-and-overfitting", "kernel_id": "40706031"}, {"ref": "ubaydulloasatullaev/random-forests", "kernel_id": "40707309"}, {"ref": "ubaydulloasatullaev/model-validation", "kernel_id": "40705146"}, {"ref": "ubaydulloasatullaev/machine-learning-competitions", "kernel_id": "40703821"}, {"ref": "ubaydulloasatullaev/exercise-your-first-machine-learning-model", "kernel_id": "40669421"}, {"ref": "ubaydulloasatullaev/pipelines", "kernel_id": "40738887"}, {"ref": "ubaydulloasatullaev/cross-validation", "kernel_id": "40746062"}, {"ref": "ubaydulloasatullaev/xgboost", "kernel_id": "40989405"}, {"ref": "ubaydulloasatullaev/data-leakage", "kernel_id": "40989409"}, {"ref": "lucasl37/exercise-missing-values", "kernel_id": "40138270"}, {"ref": "lucasl37/exercise-categorical-variables", "kernel_id": "40138689"}, {"ref": "lucasl37/exercise-random-forests", "kernel_id": "40137471"}, {"ref": "lucasl37/exercise-machine-learning-competitions", "kernel_id": "40137649"}, {"ref": "lucasl37/exercise-introduction", "kernel_id": "40137789"}, {"ref": "lucasl37/exercise-your-first-machine-learning-model", "kernel_id": "40132414"}, {"ref": "lucasl37/exercise-underfitting-and-overfitting", "kernel_id": "40133406"}, {"ref": "lucasl37/exercise-model-validation", "kernel_id": "40132861"}, {"ref": "lucasl37/exercise-cross-validation", "kernel_id": "40158069"}, {"ref": "lucasl37/exercise-pipelines", "kernel_id": "40157215"}, {"ref": "lucasl37/exercise-xgboost", "kernel_id": "40183655"}, {"ref": "lucasl37/exercise-data-leakage", "kernel_id": "40184055"}, {"ref": "anishwarbehera/house-price-prediction-r2-92", "kernel_id": "40710354"}, {"ref": "emersonleon/house-pricing-my-notebook", "kernel_id": "40579087"}, {"ref": "mk9455/exercise-underfitting-and-overfitting", "kernel_id": "40503510"}, {"ref": "bropen24/amescompetition", "kernel_id": "40442994"}, {"ref": "bropen24/fork-of-amescompetition", "kernel_id": "40487584"}, {"ref": "xokent/housing-prices-predictions", "kernel_id": "40604904"}, {"ref": "danishjmeo/housing-sub-1", "kernel_id": "40146707"}, {"ref": "golammostofas/exercise-model-validation", "kernel_id": "40933687"}, {"ref": "andrmesquitarios/exercise-cross-validation", "kernel_id": "40627271"}, {"ref": "andrmesquitarios/exercise-xgboost", "kernel_id": "40627517"}, {"ref": "andrmesquitarios/exercise-data-leakage", "kernel_id": "40628148"}, {"ref": "andrmesquitarios/exercise-machine-learning-competitions", "kernel_id": "40612641"}, {"ref": "andrmesquitarios/exercise-introduction", "kernel_id": "40612732"}, {"ref": "andrmesquitarios/exercise-missing-values", "kernel_id": "40612751"}, {"ref": "andrmesquitarios/exercise-categorical-variables", "kernel_id": "40612804"}, {"ref": "andrmesquitarios/exercise-pipelines", "kernel_id": "40612934"}, {"ref": "michaelfletcher/using-machine-learning-to-determine-a-house-price", "kernel_id": "40255969"}, {"ref": "nghianguyen39/exercise-machine-learning-competitions", "kernel_id": "40613816"}, {"ref": "moisesmgft/exercise-data-leakage", "kernel_id": "40338073"}, {"ref": "moisesmgft/exercise-xgboost", "kernel_id": "40337840"}, {"ref": "moisesmgft/exercise-cross-validation", "kernel_id": "40337561"}, {"ref": "moisesmgft/exercise-pipelines", "kernel_id": "40337312"}, {"ref": "moisesmgft/exercise-missing-values", "kernel_id": "40334038"}, {"ref": "moisesmgft/exercise-categorical-variables", "kernel_id": "40334535"}, {"ref": "moisesmgft/exercise-introduction", "kernel_id": "40333680"}, {"ref": "moisesmgft/exercise-your-first-machine-learning-model", "kernel_id": "40258156"}, {"ref": "moisesmgft/exercise-underfitting-and-overfitting", "kernel_id": "40260715"}, {"ref": "moisesmgft/exercise-model-validation", "kernel_id": "40260644"}, {"ref": "moisesmgft/exercise-random-forests", "kernel_id": "40261068"}, {"ref": "moisesmgft/exercise-machine-learning-competitions", "kernel_id": "40261156"}, {"ref": "gabrielmissailidis/exercise-missing-values", "kernel_id": "40216367"}, {"ref": "gabrielmissailidis/exercise-categorical-variables", "kernel_id": "40217026"}, {"ref": "gabrielmissailidis/exercise-introduction", "kernel_id": "40211820"}, {"ref": "gabrielmissailidis/exercise-cross-validation", "kernel_id": "40296367"}, {"ref": "gabrielmissailidis/exercise-xgboost", "kernel_id": "40297426"}, {"ref": "gabrielmissailidis/exercise-pipelines", "kernel_id": "40295606"}, {"ref": "debamritapaul/exercise-pipelines", "kernel_id": "40339676"}, {"ref": "marcelversiani/exercise-missing-values", "kernel_id": "40340917"}, {"ref": "marcelversiani/exercise-categorical-variables", "kernel_id": "40341742"}, {"ref": "marcelversiani/exercise-cross-validation", "kernel_id": "40341937"}, {"ref": "marcelversiani/exercise-pipelines", "kernel_id": "40341877"}, {"ref": "marcelversiani/exercise-xgboost", "kernel_id": "40342112"}, {"ref": "marcelversiani/exercise-data-leakage", "kernel_id": "40342264"}, {"ref": "marcelversiani/exercise-introduction", "kernel_id": "40339388"}, {"ref": "pavansai25/exercise-introduction", "kernel_id": "40561724"}, {"ref": "kattojuprashanth238/exercise-machine-learning-competitions", "kernel_id": "40266564"}, {"ref": "muhammadawn/pipelining", "kernel_id": "40117064"}, {"ref": "cyjayherrera/housing-pricing-ml", "kernel_id": "40542431"}, {"ref": "sli666/exercise-your-first-machine-learning-model", "kernel_id": "40511485"}, {"ref": "lakshay13/exercise-categorical-variables", "kernel_id": "40480883"}, {"ref": "bhuwankhatiwada/exercise-machine-learning-competitions", "kernel_id": "40064750"}, {"ref": "ehabashraf/exercise-missing-values", "kernel_id": "40875696"}, {"ref": "ehabashraf/exercise-pipelines", "kernel_id": "40878668"}, {"ref": "ehabashraf/exercise-categorical-variables", "kernel_id": "40876960"}, {"ref": "sarabentafat/exercise-random-forests", "kernel_id": "40830782"}, {"ref": "sarabentafat/exercise-underfitting-and-overfitting", "kernel_id": "40828502"}, {"ref": "tanishkaachaturvedi/exercise-machine-learning-competitions", "kernel_id": "40839833"}, {"ref": "davidnierman/exercise-introduction", "kernel_id": "40555306"}, {"ref": "shaunakmandal/exercise-machine-learning-competitions", "kernel_id": "40712574"}, {"ref": "trnhhunhthnhkhang/exercise-machine-learning-competitions", "kernel_id": "40025461"}, {"ref": "trnhhunhthnhkhang/exercise-introduction", "kernel_id": "40983251"}, {"ref": "pedrokim00/exercise-pipelines", "kernel_id": "40613217"}, {"ref": "pedrokim00/exercise-cross-validation", "kernel_id": "40613358"}, {"ref": "pedrokim00/exercise-xgboost", "kernel_id": "40613977"}, {"ref": "pedrokim00/exercise-data-leakage", "kernel_id": "40614293"}, {"ref": "pedrokim00/exercise-model-validation", "kernel_id": "40610333"}, {"ref": "pedrokim00/exercise-your-first-machine-learning-model", "kernel_id": "40610226"}, {"ref": "pedrokim00/exercise-introduction", "kernel_id": "40610724"}, {"ref": "pedrokim00/exercise-missing-values", "kernel_id": "40610766"}, {"ref": "pedrokim00/exercise-underfitting-and-overfitting", "kernel_id": "40610495"}, {"ref": "pedrokim00/exercise-random-forests", "kernel_id": "40610557"}, {"ref": "pedrokim00/exercise-machine-learning-competitions", "kernel_id": "40610607"}, {"ref": "pedrokim00/exercise-categorical-variables", "kernel_id": "40612096"}, {"ref": "luccarangelhaddad/exercise-introduction", "kernel_id": "40806499"}, {"ref": "luccarangelhaddad/exercise-your-first-machine-learning-model", "kernel_id": "40805014"}, {"ref": "luccarangelhaddad/exercise-model-validation", "kernel_id": "40805114"}, {"ref": "luccarangelhaddad/exercise-machine-learning-competitions", "kernel_id": "40805464"}, {"ref": "luccarangelhaddad/exercise-underfitting-and-overfitting", "kernel_id": "40805173"}, {"ref": "luccarangelhaddad/exercise-random-forests", "kernel_id": "40805279"}, {"ref": "abhishekshaw020/exercise-categorical-variables", "kernel_id": "40527332"}, {"ref": "alexandrebellargus/exercise-your-first-machine-learning-model", "kernel_id": "40220644"}, {"ref": "alexandrebellargus/exercise-random-forests", "kernel_id": "40222604"}, {"ref": "alexandrebellargus/exercise-underfitting-and-overfitting", "kernel_id": "40221048"}, {"ref": "alexandrebellargus/exercise-model-validation", "kernel_id": "40220884"}, {"ref": "alexandrebellargus/exercise-missing-values", "kernel_id": "40223714"}, {"ref": "alexandrebellargus/exercise-introduction", "kernel_id": "40223580"}, {"ref": "alexandrebellargus/exercise-machine-learning-competitions", "kernel_id": "40223001"}, {"ref": "alexandrebellargus/exercise-data-leakage", "kernel_id": "40288667"}, {"ref": "alexandrebellargus/exercise-cross-validation", "kernel_id": "40287726"}, {"ref": "alexandrebellargus/exercise-xgboost", "kernel_id": "40288263"}, {"ref": "alexandrebellargus/exercise-pipelines", "kernel_id": "40287026"}, {"ref": "alexandrebellargus/exercise-categorical-variables", "kernel_id": "40286183"}, {"ref": "luccaz/exercise-xgboost", "kernel_id": "40259459"}, {"ref": "luccaz/exercise-data-leakage", "kernel_id": "40259717"}, {"ref": "luccaz/exercise-pipelines", "kernel_id": "40246124"}, {"ref": "luccaz/exercise-cross-validation", "kernel_id": "40246977"}, {"ref": "luccaz/exercise-random-forests", "kernel_id": "40227008"}, {"ref": "luccaz/exercise-model-validation", "kernel_id": "40226654"}, {"ref": "luccaz/exercise-underfitting-and-overfitting", "kernel_id": "40226822"}, {"ref": "luccaz/exercise-your-first-machine-learning-model", "kernel_id": "40226315"}, {"ref": "luccaz/exercise-machine-learning-competitions", "kernel_id": "40227253"}, {"ref": "luccaz/exercise-introduction", "kernel_id": "40227485"}, {"ref": "luccaz/exercise-categorical-variables", "kernel_id": "40228979"}, {"ref": "luccaz/exercise-missing-values", "kernel_id": "40227876"}, {"ref": "lucasnogueiracosta/exercise-pipelines", "kernel_id": "40220353"}, {"ref": "lucasnogueiracosta/exercise-cross-validation", "kernel_id": "40220441"}, {"ref": "lucasnogueiracosta/exercise-xgboost", "kernel_id": "40220568"}, {"ref": "lucasnogueiracosta/exercise-categorical-variables", "kernel_id": "40220056"}, {"ref": "lucasnogueiracosta/exercise-introduction", "kernel_id": "40219753"}, {"ref": "lucasnogueiracosta/exercise-missing-values", "kernel_id": "40219813"}, {"ref": "lucasnogueiracosta/exercise-model-validation", "kernel_id": "40219307"}, {"ref": "lucasnogueiracosta/exercise-underfitting-and-overfitting", "kernel_id": "40219451"}, {"ref": "lucasnogueiracosta/exercise-your-first-machine-learning-model", "kernel_id": "40219155"}, {"ref": "lucasnogueiracosta/exercise-random-forests", "kernel_id": "40219543"}, {"ref": "lucasnogueiracosta/exercise-machine-learning-competitions", "kernel_id": "40219587"}, {"ref": "lucasnogueiracosta/exercise-data-leakage", "kernel_id": "40220816"}, {"ref": "guilhermealt/exercise-cross-validation", "kernel_id": "40336809"}, {"ref": "guilhermealt/exercise-data-leakage", "kernel_id": "40339203"}, {"ref": "guilhermealt/exercise-xgboost", "kernel_id": "40338387"}, {"ref": "gustavsilveira/exercise-missing-values", "kernel_id": "40704429"}, {"ref": "gustavsilveira/exercise-introduction", "kernel_id": "40704311"}, {"ref": "gustavsilveira/exercise-machine-learning-competitions", "kernel_id": "40704201"}, {"ref": "gustavsilveira/exercise-random-forests", "kernel_id": "40704125"}, {"ref": "gustavsilveira/exercise-categorical-variables", "kernel_id": "40705030"}, {"ref": "gustavsilveira/exercise-pipelines", "kernel_id": "40705221"}, {"ref": "gustavsilveira/exercise-cross-validation", "kernel_id": "40705241"}, {"ref": "gustavsilveira/exercise-xgboost", "kernel_id": "40705245"}, {"ref": "gustavsilveira/exercise-data-leakage", "kernel_id": "40705250"}, {"ref": "gustavsilveira/exercise-model-validation", "kernel_id": "40702480"}, {"ref": "gustavsilveira/exercise-your-first-machine-learning-model", "kernel_id": "40702194"}, {"ref": "gustavsilveira/exercise-underfitting-and-overfitting", "kernel_id": "40703652"}, {"ref": "nikollasantes/exercise-xgboost", "kernel_id": "40299729"}, {"ref": "nikollasantes/exercise-cross-validation", "kernel_id": "40299622"}, {"ref": "nikollasantes/exercise-data-leakage", "kernel_id": "40299812"}, {"ref": "nikollasantes/exercise-pipelines", "kernel_id": "40299552"}, {"ref": "nikollasantes/exercise-categorical-variables", "kernel_id": "40299404"}, {"ref": "nikollasantes/exercise-introduction", "kernel_id": "40299103"}, {"ref": "nikollasantes/exercise-missing-values", "kernel_id": "40299179"}, {"ref": "nikollasantes/exercise-machine-learning-competitions", "kernel_id": "40298289"}, {"ref": "nikollasantes/exercise-underfitting-and-overfitting", "kernel_id": "40297984"}, {"ref": "nikollasantes/exercise-random-forests", "kernel_id": "40298200"}, {"ref": "nikollasantes/exercise-your-first-machine-learning-model", "kernel_id": "40297488"}, {"ref": "nikollasantes/exercise-model-validation", "kernel_id": "40297794"}, {"ref": "rafaelgiannico/exercise-data-leakage", "kernel_id": "40345049"}, {"ref": "rafaelgiannico/exercise-introduction", "kernel_id": "40343845"}, {"ref": "rafaelgiannico/exercise-missing-values", "kernel_id": "40343921"}, {"ref": "rafaelgiannico/exercise-random-forests", "kernel_id": "40343692"}, {"ref": "rafaelgiannico/exercise-machine-learning-competitions", "kernel_id": "40343753"}, {"ref": "rafaelgiannico/exercise-pipelines", "kernel_id": "40344459"}, {"ref": "rafaelgiannico/exercise-categorical-variables", "kernel_id": "40344130"}, {"ref": "rafaelgiannico/exercise-cross-validation", "kernel_id": "40344711"}, {"ref": "rafaelgiannico/exercise-xgboost", "kernel_id": "40344919"}, {"ref": "rafaelgiannico/exercise-your-first-machine-learning-model", "kernel_id": "40343105"}, {"ref": "rafaelgiannico/exercise-underfitting-and-overfitting", "kernel_id": "40343466"}, {"ref": "rafaelgiannico/exercise-model-validation", "kernel_id": "40343306"}, {"ref": "denysderlian/exercise-categorical-variables", "kernel_id": "40026055"}, {"ref": "denysderlian/exercise-cross-validation", "kernel_id": "40187136"}, {"ref": "denysderlian/exercise-pipelines", "kernel_id": "40186713"}, {"ref": "denysderlian/exercise-xgboost", "kernel_id": "40187603"}, {"ref": "denysderlian/exercise-data-leakage", "kernel_id": "40188298"}, {"ref": "caueguimaraes/exercise-introduction", "kernel_id": "40262010"}, {"ref": "caueguimaraes/exercise-data-leakage", "kernel_id": "40267793"}, {"ref": "caueguimaraes/exercise-cross-validation", "kernel_id": "40266545"}, {"ref": "caueguimaraes/exercise-pipelines", "kernel_id": "40266032"}, {"ref": "caueguimaraes/exercise-xgboost", "kernel_id": "40267241"}, {"ref": "caueguimaraes/exercise-missing-values", "kernel_id": "40263021"}, {"ref": "caueguimaraes/exercise-categorical-variables", "kernel_id": "40265129"}, {"ref": "caueguimaraes/exercise-your-first-machine-learning-model", "kernel_id": "40253010"}, {"ref": "caueguimaraes/exercise-model-validation", "kernel_id": "40254242"}, {"ref": "caueguimaraes/exercise-machine-learning-competitions", "kernel_id": "40256626"}, {"ref": "caueguimaraes/exercise-random-forests", "kernel_id": "40256027"}, {"ref": "caueguimaraes/exercise-underfitting-and-overfitting", "kernel_id": "40255301"}, {"ref": "pedroigor123/exercise-categorical-variables", "kernel_id": "40332909"}, {"ref": "pedroigor123/exercise-pipelines", "kernel_id": "40333624"}, {"ref": "pedroigor123/exercise-cross-validation", "kernel_id": "40334515"}, {"ref": "pedroigor123/exercise-xgboost", "kernel_id": "40335091"}, {"ref": "pedroigor123/exercise-data-leakage", "kernel_id": "40335927"}, {"ref": "pedroigor123/exercise-model-validation", "kernel_id": "40255900"}, {"ref": "pedroigor123/exercise-underfitting-and-overfitting", "kernel_id": "40256203"}, {"ref": "pedroigor123/exercise-random-forests", "kernel_id": "40256624"}, {"ref": "pedroigor123/exercise-machine-learning-competitions", "kernel_id": "40256718"}, {"ref": "pedroigor123/exercise-your-first-machine-learning-model", "kernel_id": "40249857"}, {"ref": "pedroigor123/exercise-introduction", "kernel_id": "40269859"}, {"ref": "pedroigor123/exercise-missing-values", "kernel_id": "40282250"}, {"ref": "giuseppevb/exercise-data-leakage", "kernel_id": "40263779"}, {"ref": "giuseppevb/exercise-xgboost", "kernel_id": "40262331"}, {"ref": "giuseppevb/exercise-pipelines", "kernel_id": "40102545"}, {"ref": "giuseppevb/exercise-cross-validation", "kernel_id": "40163030"}, {"ref": "rafael450/exercise-your-first-machine-learning-model", "kernel_id": "40589825"}, {"ref": "rafael450/exercise-introduction", "kernel_id": "40593128"}, {"ref": "rafael450/exercise-missing-values", "kernel_id": "40593232"}, {"ref": "rafael450/exercise-machine-learning-competitions", "kernel_id": "40592615"}, {"ref": "rafael450/exercise-model-validation", "kernel_id": "40591892"}, {"ref": "rafael450/exercise-random-forests", "kernel_id": "40592306"}, {"ref": "rafael450/exercise-underfitting-and-overfitting", "kernel_id": "40592036"}, {"ref": "rafael450/exercise-categorical-variables", "kernel_id": "40593656"}, {"ref": "rafael450/exercise-pipelines", "kernel_id": "40594053"}, {"ref": "rafael450/exercise-xgboost", "kernel_id": "40594793"}, {"ref": "rafael450/exercise-cross-validation", "kernel_id": "40594497"}, {"ref": "rafael450/exercise-data-leakage", "kernel_id": "40594991"}, {"ref": "rafaeotero/exercise-categorical-variables", "kernel_id": "40607063"}, {"ref": "rafaeotero/exercise-pipelines", "kernel_id": "40607513"}, {"ref": "rafaeotero/exercise-cross-validation", "kernel_id": "40607708"}, {"ref": "rafaeotero/exercise-missing-values", "kernel_id": "40606849"}, {"ref": "rafaeotero/exercise-xgboost", "kernel_id": "40608732"}, {"ref": "rafaeotero/exercise-data-leakage", "kernel_id": "40608913"}, {"ref": "rafaeotero/exercise-introduction", "kernel_id": "40587931"}, {"ref": "rafaeotero/exercise-random-forests", "kernel_id": "40587783"}, {"ref": "rafaeotero/exercise-machine-learning-competitions", "kernel_id": "40587910"}, {"ref": "rafaeotero/exercise-your-first-machine-learning-model", "kernel_id": "40585768"}, {"ref": "rafaeotero/exercise-model-validation", "kernel_id": "40586047"}, {"ref": "rafaeotero/exercise-underfitting-and-overfitting", "kernel_id": "40586297"}, {"ref": "marcelomeloo/exercise-data-leakage", "kernel_id": "40808307"}, {"ref": "marcelomeloo/exercise-introduction", "kernel_id": "40807392"}, {"ref": "marcelomeloo/exercise-pipelines", "kernel_id": "40808029"}, {"ref": "marcelomeloo/exercise-cross-validation", "kernel_id": "40808092"}, {"ref": "marcelomeloo/exercise-xgboost", "kernel_id": "40808227"}, {"ref": "marcelomeloo/exercise-missing-values", "kernel_id": "40807542"}, {"ref": "marcelomeloo/exercise-categorical-variables", "kernel_id": "40807731"}, {"ref": "marcelomeloo/exercise-machine-learning-competitions", "kernel_id": "40742004"}, {"ref": "marcelomeloo/exercise-your-first-machine-learning-model", "kernel_id": "40740149"}, {"ref": "marcelomeloo/exercise-model-validation", "kernel_id": "40741255"}, {"ref": "marcelomeloo/exercise-underfitting-and-overfitting", "kernel_id": "40741727"}, {"ref": "marcelomeloo/exercise-random-forests", "kernel_id": "40741897"}, {"ref": "andredifs/exercise-your-first-machine-learning-model", "kernel_id": "40804477"}, {"ref": "vitorhhiguchi/exercise-model-validation", "kernel_id": "40367660"}, {"ref": "vitorhhiguchi/exercise-underfitting-and-overfitting", "kernel_id": "40374894"}, {"ref": "vitorhhiguchi/exercise-random-forests", "kernel_id": "40375044"}, {"ref": "vitorhhiguchi/exercise-machine-learning-competitions", "kernel_id": "40376390"}, {"ref": "vitorhhiguchi/exercise-your-first-machine-learning-model", "kernel_id": "40363970"}, {"ref": "leofariaoliveira/leonardo-faria-exercise-competitions", "kernel_id": "40259196"}, {"ref": "leofariaoliveira/leonardo-faria-exercise-random-forests", "kernel_id": "40259048"}, {"ref": "leofariaoliveira/leonardo-faria-exercise-model-validation", "kernel_id": "40220743"}, {"ref": "leofariaoliveira/leonardo-faria-exercise-underfitting-overfittng", "kernel_id": "40220968"}, {"ref": "leofariaoliveira/leonardo-faria-exercise-first-model", "kernel_id": "40180934"}, {"ref": "danielcavassani/exercise-underfitting-and-overfitting", "kernel_id": "40224864"}, {"ref": "danielcavassani/exercise-your-first-machine-learning-model", "kernel_id": "40223165"}, {"ref": "danielcavassani/exercise-model-validation", "kernel_id": "40223972"}, {"ref": "danielcavassani/exercise-machine-learning-competitions", "kernel_id": "40226174"}, {"ref": "danielcavassani/exercise-missing-values", "kernel_id": "40229344"}, {"ref": "danielcavassani/exercise-categorical-variables", "kernel_id": "40232585"}, {"ref": "danielcavassani/exercise-data-leakage", "kernel_id": "40256877"}, {"ref": "danielcavassani/exercise-xgboost", "kernel_id": "40255716"}, {"ref": "danielcavassani/housing-prices-competition-by-danxc", "kernel_id": "40252413"}, {"ref": "danielcavassani/exercise-cross-validation", "kernel_id": "40254782"}, {"ref": "danielcavassani/exercise-pipelines", "kernel_id": "40253729"}, {"ref": "marciolira/marcio-exercise-underfitting-and-overfitting", "kernel_id": "40375170"}, {"ref": "marciolira/marcio-exercise-random-forests", "kernel_id": "40375540"}, {"ref": "marciolira/marcio-exercise-machine-learning-competitions", "kernel_id": "40375626"}, {"ref": "marciolira/marcio-exercise-your-1st-machine-learning-model", "kernel_id": "40374413"}, {"ref": "marciolira/marcio-exercise-model-validation", "kernel_id": "40374823"}, {"ref": "karinatm/exercise-xgboost", "kernel_id": "40281929"}, {"ref": "karinatm/exercise-cross-validation", "kernel_id": "40256085"}, {"ref": "josephmugare/exercise-random-forests", "kernel_id": "40000103"}, {"ref": "orkunorulluolu/house-prices-advanced-regression-techniques-pro", "kernel_id": "40440818"}, {"ref": "anapauladias14/exercise-random-forests", "kernel_id": "40222810"}, {"ref": "anapauladias14/exercise-underfitting-and-overfitting", "kernel_id": "40221156"}, {"ref": "anapauladias14/exercise-your-first-machine-learning-model", "kernel_id": "40221187"}, {"ref": "anapauladias14/exercise-model-validation", "kernel_id": "40222545"}, {"ref": "krishnakanth21099/exercise-machine-learning-competitions", "kernel_id": "40507673"}, {"ref": "johnyaldean/exercise-machine-learning-competitions", "kernel_id": "40545327"}, {"ref": "abhaybhowmick/exercise-model-validation", "kernel_id": "40796627"}, {"ref": "manansharma00/exercise-machine-learning-competitions", "kernel_id": "40686137"}, {"ref": "pushkalasr/exercise-machine-learning-competitions", "kernel_id": "40643146"}, {"ref": "fredones/exercise-pipelines", "kernel_id": "40808216"}, {"ref": "fredones/exercise-missing-values", "kernel_id": "40807874"}, {"ref": "fredones/exercise-introduction", "kernel_id": "40807779"}, {"ref": "fredones/exercise-cross-validation", "kernel_id": "40832568"}, {"ref": "fredones/exercise-xgboost", "kernel_id": "40832751"}, {"ref": "fredones/exercise-data-leakage", "kernel_id": "40832977"}, {"ref": "fredones/exercise-your-first-machine-learning-model", "kernel_id": "40833219"}, {"ref": "fredones/exercise-model-validation", "kernel_id": "40833356"}, {"ref": "fredones/exercise-underfitting-and-overfitting", "kernel_id": "40833443"}, {"ref": "fredones/exercise-random-forests", "kernel_id": "40833505"}, {"ref": "usman8/eda-and-model-for-house-price-prediction", "kernel_id": "40937539"}, {"ref": "jennifertravers/exercise-underfitting-and-overfitting", "kernel_id": "40942098"}, {"ref": "sunney219/exercise-machine-learning-competitions", "kernel_id": "41392459"}, {"ref": "hudsonbarroso/introdu-o-ao-ml-regress-o", "kernel_id": "41565788"}, {"ref": "mehnazfatima/exercise-machine-learning-competitions", "kernel_id": "41981171"}, {"ref": "moseskimiji/exercise-underfitting-and-overfitting", "kernel_id": "41107381"}, {"ref": "meherunnesashraboni/exercise-your-first-machine-learning-model", "kernel_id": "41022986"}, {"ref": "bhaveshmittal/housing-prices-competition-ensemble-modeling", "kernel_id": "41038168"}, {"ref": "ayashabbar/first-machine-learning-model-b3faf8", "kernel_id": "41406370"}, {"ref": "ayashabbar/basic-data-exploration-9424aa", "kernel_id": "41398829"}, {"ref": "ayashabbar/underfitting-and-overfitting-9e98f7", "kernel_id": "41643040"}, {"ref": "ayashabbar/model-validation-6488a2", "kernel_id": "41637496"}, {"ref": "sonjamonteiro/my-first-machine-learning-model", "kernel_id": "41543656"}, {"ref": "rapyxroyals/exercise-machine-learning-competitions", "kernel_id": "41110065"}, {"ref": "fahmida23/exercise-machine-learning-competitions", "kernel_id": "41436608"}, {"ref": "muhammadtayyab212/getting-started-for-beginners", "kernel_id": "41901229"}, {"ref": "jamesmiano/regressiononhousingpricesdata", "kernel_id": "41596603"}, {"ref": "manojkumarb20ci022/housing-price-competition", "kernel_id": "41094916"}, {"ref": "benigmatic/exercise-pipelines", "kernel_id": "41407342"}, {"ref": "benigmatic/submission-xgboost", "kernel_id": "41435745"}, {"ref": "benigmatic/exercise-cross-validation", "kernel_id": "41435128"}, {"ref": "benigmatic/exercise-missing-values", "kernel_id": "41363066"}, {"ref": "benigmatic/exercise-categorical-variables", "kernel_id": "41398600"}, {"ref": "mohammedrizwanmalik/top-1-housing-price-eda-random-for-everyone", "kernel_id": "41987503"}, {"ref": "waseefniazi/ml-competitions", "kernel_id": "41078783"}, {"ref": "sofiassousa/exercise-model-validation", "kernel_id": "41701072"}, {"ref": "sofiassousa/exercise-your-first-machine-learning-model", "kernel_id": "41700382"}, {"ref": "krshub21/exercise-underfitting-and-overfitting", "kernel_id": "41511611"}, {"ref": "krshub21/exercise-introduction", "kernel_id": "41638197"}, {"ref": "medhatkmeelsamaan/exercise-machine-learning-competitions", "kernel_id": "41282210"}, {"ref": "abdulrahman9khaled/house-prices-1st-approach-to-data-science-process", "kernel_id": "41337202"}, {"ref": "abdulkhaleel/house-price-prediction-using-xgboost", "kernel_id": "41128842"}, {"ref": "abdelrahmanahmed110/exercise-machine-learning-competitions", "kernel_id": "41670059"}, {"ref": "amreshgupta/exercise-missing-values", "kernel_id": "41356535"}, {"ref": "navneetrajsingh/exercise-missing-values", "kernel_id": "41324268"}, {"ref": "khedrub/underfitting-and-overfitting-deutsch", "kernel_id": "41850373"}, {"ref": "khedrub/exercise-underfitting-and-overfitting-deutsch", "kernel_id": "41850446"}, {"ref": "khedrub/model-validation", "kernel_id": "41850238"}, {"ref": "khedrub/basic-data-exploration-deutsch", "kernel_id": "41847247"}, {"ref": "khedrub/your-first-machine-learning-model-deutsch", "kernel_id": "41848978"}, {"ref": "khedrub/missing-values-deutsch", "kernel_id": "41882627"}, {"ref": "khedrub/random-forests-deutsch", "kernel_id": "41958020"}, {"ref": "khedrub/exercise-your-first-machine-learning-model-deutsch", "kernel_id": "41768704"}, {"ref": "salehzeer/exercise-introduction-intermediate-ml", "kernel_id": "41732260"}, {"ref": "salehzeer/missing-values", "kernel_id": "41797731"}, {"ref": "viviansam/exercise-machine-learning-competitions", "kernel_id": "41874216"}, {"ref": "joshipranav/exercise-xgboost", "kernel_id": "41797162"}, {"ref": "joshipranav/exercise-data-leakage", "kernel_id": "41797371"}, {"ref": "joshipranav/exercise-cross-validation", "kernel_id": "41796967"}, {"ref": "joshipranav/exercise-introduction", "kernel_id": "41795471"}, {"ref": "joshipranav/exercise-missing-values", "kernel_id": "41795873"}, {"ref": "joshipranav/exercise-categorical-variables", "kernel_id": "41796324"}, {"ref": "joshipranav/exercise-pipelines", "kernel_id": "41796725"}, {"ref": "kameronastonperry/exercise-categorical-variables", "kernel_id": "41666455"}, {"ref": "trnhhunhthnhkhang/exercise-cross-validation", "kernel_id": "41325358"}, {"ref": "trnhhunhthnhkhang/exercise-pipelines", "kernel_id": "41132098"}, {"ref": "trnhhunhthnhkhang/exercise-missing-values", "kernel_id": "41038910"}, {"ref": "trnhhunhthnhkhang/exercise-categorical-variables", "kernel_id": "41061631"}, {"ref": "alan3447/exercise-your-first-machine-learning-model", "kernel_id": "41052660"}, {"ref": "dravinl/exercise-machine-learning-competitions", "kernel_id": "41044129"}, {"ref": "deepakpokhriya/exercise-machine-learning-competitions", "kernel_id": "41228045"}, {"ref": "marciolira/marcio-housing-prices-competition", "kernel_id": "41606653"}, {"ref": "lucaszchaves/exercise-your-first-machine-learning-model", "kernel_id": "41370785"}, {"ref": "nishukumarlohani/exercise-categorical-variables", "kernel_id": "41919122"}, {"ref": "sachinpatil1280/housing-prices-prediction-top-0-2", "kernel_id": "41699397"}, {"ref": "carfilho/introdu-o-ao-ml-regress-o", "kernel_id": "41565334"}, {"ref": "ragavans22/exercise-your-first-machine-learning-model", "kernel_id": "41030612"}, {"ref": "ajan421/exercise-categorical-variables", "kernel_id": "41464307"}, {"ref": "raviusz/iowa-housing", "kernel_id": "41770145"}, {"ref": "mustafaacikyol/exercise-your-first-machine-learning-model", "kernel_id": "41885255"}, {"ref": "mustafaacikyol/exercise-underfitting-and-overfitting", "kernel_id": "41886338"}, {"ref": "mustafaacikyol/exercise-model-validation", "kernel_id": "41885659"}, {"ref": "mustafaacikyol/exercise-random-forests", "kernel_id": "41887006"}, {"ref": "mustafaacikyol/exercise-machine-learning-competitions", "kernel_id": "41887159"}, {"ref": "bshairalanazi/test-1aba34", "kernel_id": "41337532"}, {"ref": "miguelangel1201/exercise-machine-learning-competitions", "kernel_id": "41712144"}, {"ref": "alialavismartech/exercise-random-forests", "kernel_id": "41272934"}, {"ref": "alialavismartech/exercise-machine-learning-competitions", "kernel_id": "41273704"}, {"ref": "alialavismartech/exercise-underfitting-and-overfitting", "kernel_id": "41272011"}, {"ref": "alialavismartech/exercise-model-validation", "kernel_id": "41270637"}, {"ref": "alialavismartech/exercise-your-first-machine-learning-model", "kernel_id": "41262235"}, {"ref": "amaanawan/exercise-your-first-machine-learning-model", "kernel_id": "41401015"}, {"ref": "amaanawan/machine-learning-competitions", "kernel_id": "41452784"}, {"ref": "amaanawan/exercise-random-forests", "kernel_id": "41451479"}, {"ref": "amaanawan/exercise-model-validation", "kernel_id": "41401683"}, {"ref": "amaanawan/exercise-underfitting-and-overfitting", "kernel_id": "41425654"}, {"ref": "mohamedhamedh/exercise-machine-learning-competitions", "kernel_id": "41195534"}, {"ref": "mohamedhamedh/exercise-your-first-machine-learning-model", "kernel_id": "41170282"}, {"ref": "mohamedhamedh/exercise-model-validation", "kernel_id": "41180254"}, {"ref": "mohamedhamedh/exercise-underfitting-and-overfitting", "kernel_id": "41181231"}, {"ref": "mohamedhamedh/exercise-introduction", "kernel_id": "41206457"}, {"ref": "mohamedhamedh/exercise-categorical-variables", "kernel_id": "41485890"}, {"ref": "mohamedhamedh/exercise-pipelines", "kernel_id": "41518387"}, {"ref": "mohamedhamedh/exercise-cross-validation", "kernel_id": "41550428"}, {"ref": "idrakesedbeyli/exercise-categorical-variables", "kernel_id": "41665250"}, {"ref": "idrakesedbeyli/exercise-xgboost-462034", "kernel_id": "41725859"}, {"ref": "ninasanttini/exercise-your-first-machine-learning-model", "kernel_id": "41248267"}, {"ref": "sarcasf/housepricefinal", "kernel_id": "41466315"}, {"ref": "leeway2zc/xgb-pipeline-for-ez-housing-prices-competition", "kernel_id": "41961654"}, {"ref": "kirtankhichi/exercise-machine-learning-competitions", "kernel_id": "41695499"}, {"ref": "fariskarim/simple-prediction-top-5", "kernel_id": "41833955"}, {"ref": "mimimimineko/intro-to-machine-learning-1", "kernel_id": "41995862"}, {"ref": "leminhquantran/exercise-missing-values", "kernel_id": "41934863"}, {"ref": "josuekpatcha/exercise-cross-validation", "kernel_id": "41975517"}, {"ref": "avocado612/exercise-your-first-machine-learning-model", "kernel_id": "41871947"}, {"ref": "avocado612/exercise-model-validation", "kernel_id": "41878964"}, {"ref": "avocado612/exercise-underfitting-and-overfitting", "kernel_id": "41904255"}, {"ref": "avocado612/exercise-random-forests", "kernel_id": "41909677"}, {"ref": "ashishanautiyal/exercise-underfitting-and-overfitting", "kernel_id": "42540859"}, {"ref": "udayr007/exercise-introduction", "kernel_id": "42893146"}, {"ref": "udayr007/exercise-model-validation", "kernel_id": "42876072"}, {"ref": "udayr007/exercise-underfitting-and-overfitting", "kernel_id": "42877096"}, {"ref": "udayr007/exercise-machine-learning-competitions", "kernel_id": "42880712"}, {"ref": "udayr007/exercise-random-forests", "kernel_id": "42880147"}, {"ref": "udayr007/exercise-your-first-machine-learning-model", "kernel_id": "42869227"}, {"ref": "lanzy007/exercise-underfitting-and-overfitting", "kernel_id": "42640570"}, {"ref": "lanzy007/exercise-machine-learning-competitions", "kernel_id": "42641374"}, {"ref": "lanzy007/exercise-random-forests", "kernel_id": "42640837"}, {"ref": "lanzy007/exercise-model-validation", "kernel_id": "42629994"}, {"ref": "lanzy007/exercise-your-first-machine-learning-model", "kernel_id": "42622765"}, {"ref": "flavioquaresma/predict-houses-prices-using-regression-ml-codes", "kernel_id": "42507099"}, {"ref": "juliasuzuki/house-price-prediction-intermediate-regression", "kernel_id": "42757071"}, {"ref": "shahbazaliml/solved-exercise-your-first-machine-learning-model", "kernel_id": "42456072"}, {"ref": "shahbazaliml/exercise-machine-learning-competitions", "kernel_id": "42460533"}, {"ref": "shahbazaliml/solved-exercise-model-validation", "kernel_id": "42459509"}, {"ref": "shahbazaliml/solved-exercise-underfitting-and-overfitting", "kernel_id": "42460036"}, {"ref": "shahbazaliml/solved-exercise-random-forests", "kernel_id": "42460381"}, {"ref": "shahbazaliml/solved-exercise-introduction", "kernel_id": "42463360"}, {"ref": "shahbazaliml/solved-exercise-categorical-variables", "kernel_id": "42551483"}, {"ref": "shahbazaliml/solved-exercise-pipelines", "kernel_id": "42553771"}, {"ref": "shahbazaliml/solved-exercise-cross-validation", "kernel_id": "42554297"}, {"ref": "shahbazaliml/solved-exercise-xgboost", "kernel_id": "42554608"}, {"ref": "shahbazaliml/solved-exercise-missing-values", "kernel_id": "42543010"}, {"ref": "shahbazaliml/solved-exercise-data-leakage", "kernel_id": "42578162"}, {"ref": "ayashabbar/random-forests-48bfe1", "kernel_id": "42099016"}, {"ref": "khaledabdelgaber/house-price-prediction", "kernel_id": "42101859"}, {"ref": "faldoae/exercise-pipelines", "kernel_id": "42744735"}, {"ref": "faldoae/exercise-categorical-variables", "kernel_id": "42623461"}, {"ref": "faldoae/exercise-missing-values", "kernel_id": "42608541"}, {"ref": "faldoae/exercise-introduction", "kernel_id": "42594241"}, {"ref": "faldoae/exercise-model-validation", "kernel_id": "42118553"}, {"ref": "syedmuhammadmooazam/exercise-machine-learning-competitions", "kernel_id": "42553926"}, {"ref": "huguesbeyerman/exercise-machine-learning-competitions", "kernel_id": "42003380"}, {"ref": "ahsaanarif/exercise-model-validation", "kernel_id": "42638257"}, {"ref": "ahsaanarif/exercise-underfitting-and-overfitting", "kernel_id": "42638969"}, {"ref": "ahsaanarif/exercise-machine-learning-competitions", "kernel_id": "42651115"}, {"ref": "ahsaanarif/exercise-random-forests", "kernel_id": "42649439"}, {"ref": "ahsaanarif/exercise-2nd-machine-learning-model", "kernel_id": "42612320"}, {"ref": "dhanusheaglephati/top-1-housing-price-eda-random-for-everyone", "kernel_id": "42561693"}, {"ref": "cindymghoi/exercise-categorical-variables", "kernel_id": "42169868"}, {"ref": "fardinpy/exercise-machine-learning-competitions", "kernel_id": "42090700"}, {"ref": "elizavetaleonova/houseprices-prediction-with-catboost", "kernel_id": "42827716"}, {"ref": "hiamet/exercise-machine-learning-competitions", "kernel_id": "42686001"}, {"ref": "ghazanfarali96/home-data-prediction-using-ml", "kernel_id": "42204041"}, {"ref": "abdulaminafridi/exercise-your-first-machine-learning-model", "kernel_id": "42976890"}, {"ref": "renaiae/housing-prices-competition", "kernel_id": "42248710"}, {"ref": "kotukw/house-pricing-first-try-xgb", "kernel_id": "42658737"}, {"ref": "abhijeetjagtap30/exercise-missing-values", "kernel_id": "42539610"}, {"ref": "shivamardeshna/house-price-prediction", "kernel_id": "42096467"}, {"ref": "vishnunr/my-first-machine-learning-model", "kernel_id": "42638910"}, {"ref": "bradleyokeno/housing-prices-model-2", "kernel_id": "42438088"}, {"ref": "amirhossienchambari/exercise-machine-learning-competitions", "kernel_id": "42157430"}, {"ref": "hasanravda/exercise-your-first-machine-learning-model", "kernel_id": "42851953"}, {"ref": "enricomanosperti/housing-prices", "kernel_id": "42100226"}, {"ref": "wiwekoanindito/exercise-machine-learning-competitions", "kernel_id": "42257034"}, {"ref": "kkamalakannan/exercise-model-validation", "kernel_id": "42748306"}, {"ref": "abhijit89kumar/house-price-submission", "kernel_id": "42932048"}, {"ref": "saravgsantos/exercise-machine-learning-competitions", "kernel_id": "42279001"}, {"ref": "nani123456789/exercise-underfitting-and-overfitting", "kernel_id": "42093033"}, {"ref": "nani123456789/exercise-random-forests", "kernel_id": "42093121"}, {"ref": "nani123456789/exercise-model-validation", "kernel_id": "42092744"}, {"ref": "nani123456789/exercise-machine-learning-competitions", "kernel_id": "42093169"}, {"ref": "nani123456789/exercise-your-first-machine-learning-model", "kernel_id": "42577530"}, {"ref": "osamaabobakr/housing-prices-top-2", "kernel_id": "42642960"}, {"ref": "osamaabobakr/top-1-housing-price-eda-random-for-everyone", "kernel_id": "42642974"}, {"ref": "db1503/exercise-machine-learning-competitions", "kernel_id": "42495529"}, {"ref": "nguyencongcuong/exercise-missing-values", "kernel_id": "42659938"}, {"ref": "amnydv17/exercise-your-first-machine-learning-model", "kernel_id": "42546733"}, {"ref": "rahulvilaspatil/exercise-machine-learning-competitions", "kernel_id": "42903662"}, {"ref": "monkeylm/exercise-your-first-machine-learning-model", "kernel_id": "42993118"}, {"ref": "mhussnain/exercise-random-forests", "kernel_id": "42547530"}, {"ref": "mhussnain/exercise-your-first-machine-learning-model", "kernel_id": "42355203"}, {"ref": "mhussnain/exercise-model-validation", "kernel_id": "42356204"}, {"ref": "mhussnain/exercise-underfitting-and-overfitting", "kernel_id": "42357638"}, {"ref": "bekkarmerwan/top-5-housing-price-gradientboostingregressor", "kernel_id": "42136173"}, {"ref": "muhammadawaistayyab/housing-prices-prediction-using-neural-network", "kernel_id": "42979417"}, {"ref": "patriciapatro/housing-price-prediction", "kernel_id": "42228718"}, {"ref": "leofariaoliveira/exercise-introduction", "kernel_id": "42236235"}, {"ref": "leofariaoliveira/exercise-missing-values", "kernel_id": "42260901"}, {"ref": "leofariaoliveira/exercise-categorical-variables", "kernel_id": "42284283"}, {"ref": "leofariaoliveira/exercise-cross-validation", "kernel_id": "42366430"}, {"ref": "leofariaoliveira/exercise-pipelines", "kernel_id": "42365639"}, {"ref": "leofariaoliveira/exercise-xgboost", "kernel_id": "42366637"}, {"ref": "joopedrofoguinho/jo-o-pedro-exercise-your-first-ml-model", "kernel_id": "42328399"}, {"ref": "marciolira/marcio-exercise-introduction", "kernel_id": "42136233"}, {"ref": "marciolira/marcio-exercise-missing-values", "kernel_id": "42136684"}, {"ref": "marciolira/marcio-exercise-cross-validation", "kernel_id": "42402047"}, {"ref": "marciolira/marcio-exercise-categorical-variables", "kernel_id": "42397161"}, {"ref": "marciolira/marcio-exercise-pipelines", "kernel_id": "42398091"}, {"ref": "gabrielgallotmj/exercise-underfitting-and-overfitting", "kernel_id": "42535720"}, {"ref": "gabrielgallotmj/exercise-machine-learning-competitions", "kernel_id": "42536084"}, {"ref": "gabrielgallotmj/exercise-model-validation", "kernel_id": "42535237"}, {"ref": "gabrielgallotmj/exercise-introduction", "kernel_id": "42567447"}, {"ref": "gabrielgallotmj/exercise-your-first-machine-learning-model", "kernel_id": "42369234"}, {"ref": "shakilkhan1729/exercise-your-first-machine-learning-model", "kernel_id": "42930824"}, {"ref": "shakilkhan1729/exercise-model-validation", "kernel_id": "42951460"}, {"ref": "dsxkaggle123/housing-price-prediction-using-decision-tree", "kernel_id": "42254730"}, {"ref": "leonardobaf/exercise-introduction", "kernel_id": "42502026"}, {"ref": "himanshuydv11/house-price-score-15170", "kernel_id": "42771067"}, {"ref": "shubhamsinghrajput07/exercise-machine-learning-competitions", "kernel_id": "42500663"}, {"ref": "curioushustler/first-ml-competition", "kernel_id": "42493568"}, {"ref": "tranvananhthu/exercise-machine-learning-competitions", "kernel_id": "42373675"}, {"ref": "tranvananhthu/exercise-introduction", "kernel_id": "42140865"}, {"ref": "jdhunter507/exercise-missing-values", "kernel_id": "42573290"}, {"ref": "wanzalatimothy/exercise-machine-learning-competitions-sub", "kernel_id": "42815718"}, {"ref": "jesusmoropascual/housing-prices-data-preprocessing-random-forest", "kernel_id": "42389585"}, {"ref": "sajidmajeed92/exercise-introduction", "kernel_id": "42360282"}, {"ref": "sajidmajeed92/exercise-missing-values", "kernel_id": "42360772"}, {"ref": "sajidmajeed92/exercise-random-forests", "kernel_id": "42358853"}, {"ref": "sajidmajeed92/exercise-pipelines", "kernel_id": "42437590"}, {"ref": "sajidmajeed92/exercise-categorical-variables", "kernel_id": "42400392"}, {"ref": "sajidmajeed92/exercise-cross-validation", "kernel_id": "42471145"}, {"ref": "sajidmajeed92/exercise-xgboost", "kernel_id": "42471756"}, {"ref": "sajidmajeed92/exercise-data-leakage", "kernel_id": "42473388"}, {"ref": "mimimimineko/intro-to-machine-learning-2", "kernel_id": "42007108"}, {"ref": "mimimimineko/intro-to-machine-learning-3", "kernel_id": "42020156"}, {"ref": "avocado612/exercise-xgboost", "kernel_id": "42135122"}, {"ref": "avocado612/exercise-data-leakage", "kernel_id": "42135442"}, {"ref": "avocado612/exercise-cross-validation", "kernel_id": "42134713"}, {"ref": "usmanhaider09/exercise-machine-learning-competitions", "kernel_id": "42110068"}, {"ref": "emt444/decision-trees", "kernel_id": "42026291"}, {"ref": "emt444/basic-data-exploration", "kernel_id": "42026313"}, {"ref": "emt444/devops", "kernel_id": "42335123"}, {"ref": "busetmkaya/machine-learning-competitions", "kernel_id": "42342449"}, {"ref": "zadokmokaya/exercise-missing-values", "kernel_id": "42280212"}, {"ref": "acovze212/top-1-housing-price-eda-random-for-everyone", "kernel_id": "42368235"}, {"ref": "valeriebailey/exercise-machine-learning-competitions", "kernel_id": "42425062"}, {"ref": "douhongzhe/exercise-your-first-machine-learning-model", "kernel_id": "42981233"}, {"ref": "jessiema/exercise-pipelines", "kernel_id": "43236357"}, {"ref": "jessiema/exercise-missing-values", "kernel_id": "43149145"}, {"ref": "jessiema/exercise-machine-learning-competitions", "kernel_id": "43113066"}, {"ref": "axaysd/exercise-your-first-machine-learning-model", "kernel_id": "43702300"}, {"ref": "asubramanian/arch-iowa-trial-01", "kernel_id": "43912396"}, {"ref": "udayr007/exercise-missing-values", "kernel_id": "43067162"}, {"ref": "udayr007/exercise-categorical-variables", "kernel_id": "43110011"}, {"ref": "udayr007/exercise-cross-validation", "kernel_id": "43201591"}, {"ref": "udayr007/exercise-pipelines", "kernel_id": "43197011"}, {"ref": "udayr007/exercise-xgboost", "kernel_id": "43205404"}, {"ref": "udayr007/exercise-data-leakage", "kernel_id": "43207804"}, {"ref": "mingyangyi/ccrunch-12-using-ml-to-predict-house-prices", "kernel_id": "43420161"}, {"ref": "lanzy007/exercise-missing-values", "kernel_id": "43095749"}, {"ref": "lanzy007/exercise-categorical-variables", "kernel_id": "43096915"}, {"ref": "lanzy007/exercise-pipelines", "kernel_id": "43102538"}, {"ref": "lanzy007/exercise-xgboost", "kernel_id": "43116891"}, {"ref": "lanzy007/exercise-cross-validation", "kernel_id": "43116495"}, {"ref": "lanzy007/exercise-data-leakage", "kernel_id": "43117124"}, {"ref": "enhardened/revisiting-intermediate-ml", "kernel_id": "43511601"}, {"ref": "patriciakembia/exercise-machine-learning-competitions", "kernel_id": "43812739"}, {"ref": "congcongyang/housing-prices-competition-code", "kernel_id": "43239986"}, {"ref": "umarzafar/exercise-machine-learning-competitions", "kernel_id": "43831029"}, {"ref": "mehranehliaee/exercise-model-validation", "kernel_id": "43621321"}, {"ref": "mehranehliaee/exercise-your-first-machine-learning-model", "kernel_id": "43584533"}, {"ref": "mehranehliaee/exercise-underfitting-and-overfitting", "kernel_id": "43931375"}, {"ref": "mehranehliaee/exercise-random-forests", "kernel_id": "43933725"}, {"ref": "jobbrodriguez/exercise-model-validation", "kernel_id": "43357240"}, {"ref": "jobbrodriguez/exercise-underfitting-and-overfitting", "kernel_id": "43357774"}, {"ref": "jobbrodriguez/exercise-machine-learning-competitions", "kernel_id": "43360083"}, {"ref": "jobbrodriguez/exercise-random-forests", "kernel_id": "43359819"}, {"ref": "jobbrodriguez/exercise-your-first-machine-learning-model", "kernel_id": "43349440"}, {"ref": "hosen42/exercise-introduction", "kernel_id": "43280015"}, {"ref": "hosen42/exercise-missing-values", "kernel_id": "43280079"}, {"ref": "hosen42/exercise-categorical-variables", "kernel_id": "43280082"}, {"ref": "hosen42/exercise-pipelines", "kernel_id": "43280085"}, {"ref": "hosen42/exercise-cross-validation", "kernel_id": "43280087"}, {"ref": "hosen42/exercise-xgboost", "kernel_id": "43280092"}, {"ref": "hosen42/exercise-data-leakage", "kernel_id": "43280095"}, {"ref": "faldoae/exercise-data-leakage", "kernel_id": "43287203"}, {"ref": "faldoae/exercise-xgboost", "kernel_id": "43219378"}, {"ref": "faldoae/exercise-cross-validation", "kernel_id": "43159807"}, {"ref": "kristiannova/house-pricing-eda-dataprep-fe", "kernel_id": "43866188"}, {"ref": "aaryanohekar/exercise-your-first-machine-learning-model", "kernel_id": "43653285"}, {"ref": "aaryanohekar/exercise-model-validation", "kernel_id": "43657860"}, {"ref": "chickencola/random-forests", "kernel_id": "43178969"}, {"ref": "chickencola/missing-values", "kernel_id": "43179246"}, {"ref": "chickencola/underfitting-and-overfitting", "kernel_id": "43179671"}, {"ref": "abdulaminafridi/exercise-introduction", "kernel_id": "43015976"}, {"ref": "abdulaminafridi/exercise-missing-values", "kernel_id": "43017340"}, {"ref": "abdulaminafridi/exercise-categorical-variables", "kernel_id": "43028895"}, {"ref": "abdulaminafridi/exercise-pipelines", "kernel_id": "43063825"}, {"ref": "abdulaminafridi/exercise-cross-validation", "kernel_id": "43076990"}, {"ref": "hlatamer/exercise-your-first-machine-learning-model", "kernel_id": "43186223"}, {"ref": "hlatamer/exercise-model-validation", "kernel_id": "43826577"}, {"ref": "hlatamer/exercise-underfitting-and-overfitting", "kernel_id": "43894698"}, {"ref": "hlatamer/exercise-random-forests", "kernel_id": "43894978"}, {"ref": "yaroslav53/housing-prices", "kernel_id": "43218494"}, {"ref": "dennisdosso/exercise-data-leakage", "kernel_id": "43752934"}, {"ref": "dennisdosso/exercise-cross-validation", "kernel_id": "43674765"}, {"ref": "jehanzaibbhatti/exercise-your-first-machine-learning-model", "kernel_id": "43858561"}, {"ref": "alberto95bernardi/exercise-underfitting-and-overfitting", "kernel_id": "43107725"}, {"ref": "alberto95bernardi/exercise-model-validation", "kernel_id": "43107159"}, {"ref": "alberto95bernardi/exercise-machine-learning-competitions", "kernel_id": "43114312"}, {"ref": "alberto95bernardi/exercise-random-forests", "kernel_id": "43114220"}, {"ref": "alberto95bernardi/exercise-introduction", "kernel_id": "43114723"}, {"ref": "alberto95bernardi/exercise-missing-values", "kernel_id": "43138628"}, {"ref": "alberto95bernardi/exercise-xgboost", "kernel_id": "43220166"}, {"ref": "alberto95bernardi/exercise-cross-validation", "kernel_id": "43197792"}, {"ref": "alberto95bernardi/exercise-pipelines", "kernel_id": "43192009"}, {"ref": "alberto95bernardi/exercise-categorical-variables", "kernel_id": "43150733"}, {"ref": "alberto95bernardi/exercise-data-leakage", "kernel_id": "43226392"}, {"ref": "shashankverma590/housing-price-estimation", "kernel_id": "43926189"}, {"ref": "hannashuraieva/exercise-machine-learning-competitions", "kernel_id": "43473766"}, {"ref": "hannashuraieva/random-forests", "kernel_id": "43470390"}, {"ref": "hannashuraieva/underfitting-and-overfitting", "kernel_id": "43428031"}, {"ref": "hannashuraieva/model-validation", "kernel_id": "43387184"}, {"ref": "hannashuraieva/my-first-machine-learning-model", "kernel_id": "43386085"}, {"ref": "adityaraavi/exercise-pipelines", "kernel_id": "43203388"}, {"ref": "dmitrybehealthy/exercise-missing-values", "kernel_id": "43094222"}, {"ref": "ebrahimfardmonfared/exercise-xgboost", "kernel_id": "43008428"}, {"ref": "shashishekhar6352/ml-practice-i", "kernel_id": "43972801"}, {"ref": "ompawar9174/exercise-machine-learning-competitions", "kernel_id": "43403868"}, {"ref": "ompawar9174/exercise-random-forests", "kernel_id": "43403510"}, {"ref": "ompawar9174/exercise-underfitting-and-overfitting", "kernel_id": "43403020"}, {"ref": "ompawar9174/exercise-your-first-machine-learning-model", "kernel_id": "43401243"}, {"ref": "ompawar9174/exercise-model-validation", "kernel_id": "43402339"}, {"ref": "swarnasridhar045/exercise-your-first-machine-learning-model", "kernel_id": "43441645"}, {"ref": "swarnasridhar045/exercise-random-forests", "kernel_id": "43559816"}, {"ref": "swarnasridhar045/exercise-random-forests-ccb3f3", "kernel_id": "43559817"}, {"ref": "sli666/exercise-random-forests", "kernel_id": "43713797"}, {"ref": "sli666/exercise-underfitting-and-overfitting", "kernel_id": "43709863"}, {"ref": "sli666/exercise-model-validation", "kernel_id": "43705927"}, {"ref": "zahrasevilla/assignment-3-data-preparation-zahra-sevilla", "kernel_id": "43835677"}, {"ref": "tnxu78/exercise-xgboost", "kernel_id": "43539836"}, {"ref": "gowthamrajgoku/exercise-machine-learning-competitions", "kernel_id": "43698914"}, {"ref": "rizwanahmedabbasi/houses-prices-predictions", "kernel_id": "43098791"}, {"ref": "talhabarkaatahmad/housing-prices-prediction-neural-network", "kernel_id": "43006622"}, {"ref": "shakilkhan1729/exercise-underfitting-and-overfitting", "kernel_id": "43032456"}, {"ref": "shakilkhan1729/exercise-machine-learning-competitions", "kernel_id": "43035081"}, {"ref": "shakilkhan1729/exercise-random-forests", "kernel_id": "43034893"}, {"ref": "nitishnaik31/exercise-missing-values", "kernel_id": "43493599"}, {"ref": "ruthpeace/exercise-your-first-machine-learning-model", "kernel_id": "43182838"}, {"ref": "ruthpeace/exercise-model-validation", "kernel_id": "43451875"}, {"ref": "adamhandoko/ihir-boi20", "kernel_id": "43749427"}, {"ref": "bhushanrshrirame/exercise-machine-learning-competitions", "kernel_id": "43821662"}, {"ref": "kaifkhanx/exercise-categorical-variables", "kernel_id": "43426740"}, {"ref": "kaifkhanx/notebookd5dd3672a1", "kernel_id": "43607265"}, {"ref": "gopaltheboss/exercise-cross-validation", "kernel_id": "43304473"}, {"ref": "gopaltheboss/exercise-pipelines", "kernel_id": "43303448"}, {"ref": "gopaltheboss/exercise-xgboost", "kernel_id": "43305202"}, {"ref": "gopaltheboss/exercise-data-leakage", "kernel_id": "43382284"}, {"ref": "gopaltheboss/exercise-underfitting-and-overfitting", "kernel_id": "43191866"}, {"ref": "gopaltheboss/exercise-random-forests", "kernel_id": "43192486"}, {"ref": "gopaltheboss/exercise-machine-learning-competitions", "kernel_id": "43192683"}, {"ref": "gopaltheboss/exercise-model-validation", "kernel_id": "43190548"}, {"ref": "gopaltheboss/exercise-your-first-machine-learning-model", "kernel_id": "43156128"}, {"ref": "gopaltheboss/exercise-categorical-variables", "kernel_id": "43284368"}, {"ref": "gopaltheboss/exercise-introduction", "kernel_id": "43266103"}, {"ref": "gopaltheboss/exercise-missing-values", "kernel_id": "43269423"}, {"ref": "otmanesajid/exercise-categorical-variables", "kernel_id": "43419825"}, {"ref": "palash1011/housing-prices-competition-for-kaggle-learners", "kernel_id": "43550781"}, {"ref": "annaaydynova/exercise-machine-learning-competitions", "kernel_id": "43527739"}, {"ref": "annaaydynova/exercise-introduction", "kernel_id": "43621210"}, {"ref": "hurinsalimah/exercise-your-first-machine-learning-model", "kernel_id": "43793067"}, {"ref": "hurinsalimah/exercise-model-validation", "kernel_id": "43793095"}, {"ref": "hurinsalimah/exercise-underfitting-and-overfitting", "kernel_id": "43793113"}, {"ref": "hurinsalimah/exercise-random-forests", "kernel_id": "43793138"}, {"ref": "hurinsalimah/exercise-machine-learning-competitions", "kernel_id": "43793158"}, {"ref": "bitaazizyhamida/ds5g08-bita", "kernel_id": "43754412"}, {"ref": "fajrarisqulla/exercise-random-forests", "kernel_id": "43776110"}, {"ref": "fajrarisqulla/exercise-underfitting-and-overfitting", "kernel_id": "43775250"}, {"ref": "fajrarisqulla/exercise-model-validation", "kernel_id": "43774244"}, {"ref": "fajrarisqulla/exercise-decision-tree", "kernel_id": "43772360"}, {"ref": "guilhermefleitao/exercise-categorical-variables", "kernel_id": "43789965"}, {"ref": "nadhififauzan/2-first-machine-learning-model", "kernel_id": "43803941"}, {"ref": "estevedelacebo/exemple-regressi-linial", "kernel_id": "44705620"}, {"ref": "hungk20/tutorial-machine-learning-competitions", "kernel_id": "44871830"}, {"ref": "alvinsakib/exercise-machine-learning-competitions", "kernel_id": "44103049"}, {"ref": "maximeperez/xgboost-baseline", "kernel_id": "44920944"}, {"ref": "nikhilkumar516/exercise-machine-learning-competitions", "kernel_id": "44304935"}, {"ref": "ziaalam/exercise-your-first-machine-learning-model", "kernel_id": "44914804"}, {"ref": "ziaalam/exercise-underfitting-and-overfitting", "kernel_id": "44929520"}, {"ref": "ziaalam/exercise-model-validation", "kernel_id": "44928851"}, {"ref": "ziaalam/exercise-machine-learning-competitions", "kernel_id": "44943528"}, {"ref": "ziaalam/exercise-random-forests", "kernel_id": "44943420"}, {"ref": "agnetaeriksson/exercise-random-forests", "kernel_id": "44129527"}, {"ref": "henoshana/exercise-machine-learning-competitions", "kernel_id": "44552861"}, {"ref": "henoshana/exercise-underfitting-and-overfitting", "kernel_id": "44552718"}, {"ref": "anushkapaul02/exercise-categorical-variables", "kernel_id": "44361625"}, {"ref": "anushkapaul02/exercise-pipelines", "kernel_id": "44362287"}, {"ref": "anushkapaul02/exercise-your-first-machine-learning-model", "kernel_id": "44187464"}, {"ref": "anushkapaul02/exercise-cross-validation", "kernel_id": "44573645"}, {"ref": "anushkapaul02/exercise-xgboost", "kernel_id": "44768638"}, {"ref": "shashishekhar6352/exercise-machine-learning-competitions", "kernel_id": "44062687"}, {"ref": "shashishekhar6352/exercise-random-forests", "kernel_id": "44061984"}, {"ref": "shashishekhar6352/exercise-model-validation", "kernel_id": "44017858"}, {"ref": "shashishekhar6352/exercise-underfitting-and-overfitting", "kernel_id": "44024053"}, {"ref": "computervisi/eda-housing-prices-competition", "kernel_id": "44565945"}, {"ref": "swarnasridhar045/exercise-cross-validation", "kernel_id": "44605999"}, {"ref": "swarnasridhar045/exercise-underfitting-and-overfitting", "kernel_id": "44156692"}, {"ref": "swarnasridhar045/exercise-categorical-variables", "kernel_id": "44232068"}, {"ref": "kduxx14/exercise-machine-learning-competitions", "kernel_id": "44058719"}, {"ref": "xedrix/exercise-introduction", "kernel_id": "44544217"}, {"ref": "ilyamurzin0000/exercise-introduction", "kernel_id": "44304938"}, {"ref": "jenilgajjar/exercise-underfitting-and-overfitting", "kernel_id": "44141576"}, {"ref": "jenilgajjar/exercise-model-validation", "kernel_id": "44135592"}, {"ref": "jenilgajjar/exercise-your-first-machine-learning-model", "kernel_id": "44133754"}, {"ref": "jenilgajjar/exercise-machine-learning-competitions", "kernel_id": "44143128"}, {"ref": "jenilgajjar/exercise-random-forests", "kernel_id": "44142769"}, {"ref": "joeltpatterson/exercise-machine-learning-competitions", "kernel_id": "44361521"}, {"ref": "eddieissmart/exercise-model-validation", "kernel_id": "44061477"}, {"ref": "kaifkhanx/exercise-cross-validation", "kernel_id": "44397092"}, {"ref": "satishvarmas/exercise-categorical-variables", "kernel_id": "44544018"}, {"ref": "heteodete/exercise-underfitting-and-overfitting", "kernel_id": "44050152"}, {"ref": "harshyadav20871/exercise-your-first-machine-learning-model", "kernel_id": "44171560"}, {"ref": "isabbaggin/exercise-introduction", "kernel_id": "44891670"}, {"ref": "cruiserai/exercise-underfitting-and-overfitting", "kernel_id": "44787396"}, {"ref": "cruiserai/exercise-model-validation", "kernel_id": "44786336"}, {"ref": "cruiserai/exercise-machine-learning-competitions", "kernel_id": "44845537"}, {"ref": "cruiserai/exercise-random-forests", "kernel_id": "44845324"}, {"ref": "titikshas12/exercise-machine-learning-competitions", "kernel_id": "44872247"}, {"ref": "yusukeoi/housing-prices-rf-lgb-mlp-model", "kernel_id": "45960983"}, {"ref": "ilnur123/exercise-your-first-machine-learning-model", "kernel_id": "45886448"}, {"ref": "maximeperez/catboost-baseline", "kernel_id": "45258291"}, {"ref": "sharif33/exercise-your-first-machine-learning-model", "kernel_id": "45228011"}, {"ref": "jaisuryasundarbabu/exercise-introduction-0818d6", "kernel_id": "45813535"}, {"ref": "gfranciscoerazom/exercise-machine-learning-competitions", "kernel_id": "45261023"}, {"ref": "femie67/data-analysis-and-model-training-for-house-prices", "kernel_id": "45154246"}, {"ref": "elifsare/exercise-xgboost", "kernel_id": "45011370"}, {"ref": "elifsare/exercise-data-leakage", "kernel_id": "45011958"}, {"ref": "elifsare/exercise-categorical-variables", "kernel_id": "45009166"}, {"ref": "elifsare/exercise-cross-validation", "kernel_id": "45010455"}, {"ref": "elifsare/exercise-pipelines", "kernel_id": "45010102"}, {"ref": "elifsare/exercise-missing-values", "kernel_id": "45007070"}, {"ref": "piyushborhade/house-pricing", "kernel_id": "45725794"}, {"ref": "edisugiarto/exercise-categorical-variables", "kernel_id": "45575078"}, {"ref": "sumaksr/exercise-categorical-variables", "kernel_id": "45572477"}, {"ref": "tobydjohnson/housing-prices-eda-and-regression", "kernel_id": "45974636"}, {"ref": "brahimhalilzdemir/exercise-your-first-machine-learning-model", "kernel_id": "45637297"}, {"ref": "maramsa/exercise-underfitting-and-overfitting", "kernel_id": "45991806"}, {"ref": "calebosei/exercise-missing-values", "kernel_id": "45973415"}, {"ref": "calebosei/exercise-machine-learning-competitions", "kernel_id": "45582902"}, {"ref": "mariamahmedalkaseh/housepriceprediction", "kernel_id": "45322693"}, {"ref": "harshithvarma007/exercise-machine-learning-competitions", "kernel_id": "45850756"}, {"ref": "harshithvarma007/exercise-random-forests", "kernel_id": "45850419"}, {"ref": "priyanshurao0001/exercise-missing-values", "kernel_id": "45986913"}, {"ref": "samahfetouh/housing-prices", "kernel_id": "45269493"}, {"ref": "prxima/exercise-missing-values", "kernel_id": "45998215"}, {"ref": "zahradeldar/exercise-machine-learning-competitions", "kernel_id": "45426762"}, {"ref": "shanem1401/exercise-missing-values", "kernel_id": "45971304"}, {"ref": "dellapsa/fork-of-my-first-machine-learning-model-housing", "kernel_id": "45666054"}, {"ref": "wulanssarii/ds5e14-wulan-sari-model-performance-analyt", "kernel_id": "45239349"}, {"ref": "danielbrightman/exercise-xgboost", "kernel_id": "45831670"}, {"ref": "devilal01/exercise-missing-values", "kernel_id": "45796967"}, {"ref": "axshatjha/notebook400d5cea07", "kernel_id": "45510863"}, {"ref": "kubota0401/exercise-machine-learning-competitions", "kernel_id": "45441615"}, {"ref": "florentsollier/exercise-categorical-variables", "kernel_id": "45308347"}, {"ref": "mjsadidi/exercise-introduction", "kernel_id": "45546090"}, {"ref": "djholty/exercise-missing-values", "kernel_id": "45683620"}, {"ref": "yusufmubarak/exercise-machine-learning-competitions", "kernel_id": "45185816"}, {"ref": "yusufmubarak/exercise-cross-validation", "kernel_id": "45240123"}, {"ref": "onceandtwice/housing-price-comp", "kernel_id": "45609728"}, {"ref": "tinamercer/exercise-machine-learning-competitions", "kernel_id": "45593988"}, {"ref": "panosc/random-forest-practical-example", "kernel_id": "46360475"}, {"ref": "datascienceimcomming/housing-prices-solution", "kernel_id": "46419682"}, {"ref": "agusabdulrahman/exercise-introduction", "kernel_id": "46593473"}, {"ref": "jaisuryasundarbabu/exercise-pipelines", "kernel_id": "46393120"}, {"ref": "mdismielhossenabir/housing-price", "kernel_id": "46012855"}, {"ref": "ghaithmechi/xgboost", "kernel_id": "46629730"}, {"ref": "akelsayed/exercise-data-leakage", "kernel_id": "46584473"}, {"ref": "akelsayed/exercise-xgboost", "kernel_id": "46579503"}, {"ref": "akelsayed/exercise-cross-validation", "kernel_id": "46534813"}, {"ref": "piyushborhade/simple-eda", "kernel_id": "46169042"}, {"ref": "piyushborhade/random-forest", "kernel_id": "46307275"}, {"ref": "sumitpardhiya/introduction-intermediate-machine-learning", "kernel_id": "46938366"}, {"ref": "sumitpardhiya/missing-values-intermediate-machine-learning", "kernel_id": "46993495"}, {"ref": "maramsa/exercise-random-forests", "kernel_id": "46022071"}, {"ref": "ivanlydkin/feature-engineering-course-inverting-eda", "kernel_id": "46999939"}, {"ref": "calebosei/exercise-pipelines", "kernel_id": "46356998"}, {"ref": "calebosei/exercise-xgboost", "kernel_id": "46568594"}, {"ref": "khantsinthu/exercise-categorical-variables", "kernel_id": "46017852"}, {"ref": "akankshajadhav24/house-prices-competition-for-kaggle-learn-users", "kernel_id": "46908011"}, {"ref": "harshithvarma007/exercise-missing-values", "kernel_id": "46679991"}, {"ref": "zunorain/introduction-to-machine-learning-competitions", "kernel_id": "46650356"}, {"ref": "jordanbell2357/exercise-introduction", "kernel_id": "46385976"}, {"ref": "nehanawar/housing-prices-competition-random-forest", "kernel_id": "46895909"}, {"ref": "matthewiversen/housing-prices-random-forest", "kernel_id": "46220130"}, {"ref": "rizal1015/exercise-machine-learning-competitions", "kernel_id": "46719657"}, {"ref": "devilal01/notebook014fbc8c09", "kernel_id": "46388452"}, {"ref": "vishnuperam/exercise-pipelines", "kernel_id": "46820862"}, {"ref": "jashchudasama/exercise-machine-learning-competitions", "kernel_id": "46739671"}, {"ref": "aruneembhowmick/exercise-model-validation", "kernel_id": "46883752"}, {"ref": "aruneembhowmick/exercise-underfitting-and-overfitting", "kernel_id": "46884237"}, {"ref": "aruneembhowmick/exercise-random-forests", "kernel_id": "46884487"}, {"ref": "aruneembhowmick/exercise-machine-learning-competitions", "kernel_id": "46884623"}, {"ref": "aruneembhowmick/exercise-introduction", "kernel_id": "46925128"}, {"ref": "aruneembhowmick/exercise-pipelines", "kernel_id": "46935965"}, {"ref": "aruneembhowmick/exercise-categorical-variables", "kernel_id": "46935401"}, {"ref": "aruneembhowmick/exercise-missing-values", "kernel_id": "46930547"}, {"ref": "aruneembhowmick/exercise-cross-validation", "kernel_id": "46941083"}, {"ref": "aruneembhowmick/exercise-data-leakage", "kernel_id": "46941941"}, {"ref": "aruneembhowmick/exercise-xgboost", "kernel_id": "46941375"}, {"ref": "yashsuthar13/exercise-machine-learning-competitions", "kernel_id": "46909444"}, {"ref": "anamariamidoripreda/exercise-missing-values", "kernel_id": "47612398"}, {"ref": "anamariamidoripreda/exercise-introduction", "kernel_id": "47611481"}, {"ref": "anamariamidoripreda/exercise-cross-validation", "kernel_id": "47660430"}, {"ref": "anamariamidoripreda/exercise-pipelines", "kernel_id": "47659036"}, {"ref": "anamariamidoripreda/exercise-data-leakage", "kernel_id": "47667906"}, {"ref": "anamariamidoripreda/exercise-xgboost", "kernel_id": "47664182"}, {"ref": "anamariamidoripreda/exercise-categorical-variables", "kernel_id": "47641883"}, {"ref": "lokeruikee/exercise-underfitting-and-overfitting", "kernel_id": "47690867"}, {"ref": "lokeruikee/exercise-model-validation", "kernel_id": "47687879"}, {"ref": "lokeruikee/exercise-random-forests", "kernel_id": "47949909"}, {"ref": "lokeruikee/exercise-your-first-machine-learning-model", "kernel_id": "47586176"}, {"ref": "shubhampatel231/eda-guide-and-template", "kernel_id": "47995713"}, {"ref": "samudraroy/exercise-xgboost", "kernel_id": "47409251"}, {"ref": "kamalapousajja/house-price-prediction-ml-course-kaggle-learn", "kernel_id": "47613528"}, {"ref": "dhanashreeshingote/house-price-prediction", "kernel_id": "47311723"}, {"ref": "ahmedalaa27/housing-prices-predict", "kernel_id": "47517813"}, {"ref": "sumitpardhiya/categorical-variables-intermediate-ml", "kernel_id": "47051827"}, {"ref": "sumitpardhiya/exercise-model-validation", "kernel_id": "47468358"}, {"ref": "sumitpardhiya/exercise-your-first-machine-learning-model", "kernel_id": "47465158"}, {"ref": "sumitpardhiya/exercise-random-forests", "kernel_id": "47470430"}, {"ref": "sumitpardhiya/exercise-machine-learning-competitions", "kernel_id": "47470585"}, {"ref": "sumitpardhiya/exercise-underfitting-and-overfitting", "kernel_id": "47469087"}, {"ref": "sumitpardhiya/data-leakage-intermediate-machine-learning", "kernel_id": "47414281"}, {"ref": "sumitpardhiya/xgboost-intermediate-machine-learning", "kernel_id": "47413257"}, {"ref": "sumitpardhiya/cross-validation-intermediate-machine-learning", "kernel_id": "47362915"}, {"ref": "sumitpardhiya/pipelines-intermediate-machine-learning", "kernel_id": "47361082"}, {"ref": "rvadim/top-1-eda-feature-engineering-stacking-pipeline", "kernel_id": "47840626"}, {"ref": "urazalinuraliev/exercise-machine-learning-competitions", "kernel_id": "47290814"}, {"ref": "nourelimane/exercise-machine-learning-competitions", "kernel_id": "47548322"}, {"ref": "nourelimane/exercise-random-forests", "kernel_id": "47548165"}, {"ref": "nourelimane/exercise-model-validation", "kernel_id": "47547797"}, {"ref": "nourelimane/exercise-underfitting-and-overfitting", "kernel_id": "47548050"}, {"ref": "nourelimane/exercise-pipelines", "kernel_id": "47591203"}, {"ref": "nourelimane/exercise-categorical-variables", "kernel_id": "47589856"}, {"ref": "aleksapesic/notebookaa07f10596", "kernel_id": "47123916"}, {"ref": "ibrahimagabardiop/exercise-introduction", "kernel_id": "47311266"}, {"ref": "ibrahimagabardiop/exercise-missing-values", "kernel_id": "47411450"}, {"ref": "asmasohail/exercise-random-forests", "kernel_id": "47633254"}, {"ref": "asmasohail/exercise-your-first-machine-learning-model", "kernel_id": "47456537"}, {"ref": "asmasohail/exercise-underfitting-and-overfitting", "kernel_id": "47506677"}, {"ref": "asmasohail/exercise-model-validation", "kernel_id": "47503616"}, {"ref": "brmil07/house-prices-prediction", "kernel_id": "47062565"}, {"ref": "ngjunkiat/exercise-random-forests", "kernel_id": "47086727"}, {"ref": "ngjunkiat/exercise-model-validation", "kernel_id": "47081638"}, {"ref": "ngjunkiat/exercise-underfitting-and-overfitting", "kernel_id": "47084540"}, {"ref": "ngjunkiat/exercise-your-first-machine-learning-model", "kernel_id": "47022077"}, {"ref": "mukulchandraray/housing-price-competition-1", "kernel_id": "47298632"}, {"ref": "abhasmalguri/exercise-xgboost", "kernel_id": "47721621"}, {"ref": "abhasmalguri/exercise-cross-validation", "kernel_id": "47713696"}, {"ref": "abhasmalguri/exercise-random-forests", "kernel_id": "47343610"}, {"ref": "abhasmalguri/exercise-underfitting-and-overfitting", "kernel_id": "47342959"}, {"ref": "abhasmalguri/exercise-introduction", "kernel_id": "47444073"}, {"ref": "aravindsamy12/exercise-introduction", "kernel_id": "47573084"}, {"ref": "tjrodr1/complete-project-data-analysis-and-ml-learning", "kernel_id": "47217417"}, {"ref": "niteshkumaryeddu/exercise-machine-learning-competitions", "kernel_id": "47290793"}, {"ref": "bromotdi/exercise-missing-values", "kernel_id": "47969292"}, {"ref": "bromotdi/exercise-introduction", "kernel_id": "47920230"}, {"ref": "nimaafsari/exercise-missing-values", "kernel_id": "47008839"}, {"ref": "gautamkumarkushwaha/exercise-introduction", "kernel_id": "47815617"}, {"ref": "joseelisei/house-pricing-comp-optuna-xgb", "kernel_id": "47364859"}, {"ref": "sethcreasy/exercise-data-leakage", "kernel_id": "47129562"}, {"ref": "jclohjc/house-price-prediction-random-forest-regression", "kernel_id": "47592979"}, {"ref": "zebra174/exercise-random-forests", "kernel_id": "47817060"}, {"ref": "zebra174/exercise-machine-learning-competitions", "kernel_id": "47817961"}, {"ref": "zebra174/exercise-underfitting-and-overfitting", "kernel_id": "47815512"}, {"ref": "zebra174/housing-pricing-prediction-rf-model", "kernel_id": "47819405"}, {"ref": "eminacikgoz/exercise-machine-learning-competitions", "kernel_id": "47539475"}, {"ref": "eminacikgoz/exercise-random-forests", "kernel_id": "47499025"}, {"ref": "eminacikgoz/exercise-model-validation", "kernel_id": "47495859"}, {"ref": "ludmilagomes/competition-housing-price-top-10", "kernel_id": "47019301"}, {"ref": "marjaneh/exercise-your-first-machine-learning-model", "kernel_id": "47388504"}, {"ref": "marjaneh/exercise-model-validation", "kernel_id": "47464299"}, {"ref": "mahakjain14/exercise-machine-learning-competitions", "kernel_id": "47418810"}, {"ref": "tomiajayi/exercise-machine-learning-competitions", "kernel_id": "47299806"}, {"ref": "yashsuthar13/exercise-categorical-variables", "kernel_id": "47722971"}, {"ref": "kuckeray/exercise-random-forests", "kernel_id": "47097210"}, {"ref": "kuckeray/exercise-machine-learning-competitions", "kernel_id": "47097880"}, {"ref": "dkinvoker/personal-try-2", "kernel_id": "48684961"}, {"ref": "commandante/regression-using-neural-networks", "kernel_id": "48913315"}, {"ref": "jorgodamtew/exercise-pipelines", "kernel_id": "48473991"}, {"ref": "jorgodamtew/exercise-xgboost", "kernel_id": "48545348"}, {"ref": "jorgodamtew/exercise-data-leakage", "kernel_id": "48548726"}, {"ref": "surjyaneehalder/exercise-underfitting-and-overfitting", "kernel_id": "48269177"}, {"ref": "surjyaneehalder/exercise-random-forests", "kernel_id": "48269759"}, {"ref": "mohamedelnashar/housing-prices-competition-for-kaggle-xgboost", "kernel_id": "48932527"}, {"ref": "ryanvarghese29/exercise-model-validation", "kernel_id": "48935673"}, {"ref": "sjh0410/exercise-your-first-machine-learning-model", "kernel_id": "48133798"}, {"ref": "sjh0410/exercise-underfitting-and-overfitting", "kernel_id": "48159942"}, {"ref": "sjh0410/exercise-machine-learning-competitions", "kernel_id": "48200248"}, {"ref": "sjh0410/exercise-random-forests", "kernel_id": "48198904"}, {"ref": "anmol111pal/exercise-your-first-machine-learning-model", "kernel_id": "48960801"}, {"ref": "nickyarovoi/top-1-housing-prices-competition-regression", "kernel_id": "48931927"}, {"ref": "kashishparmar02/exercise-your-first-machine-learning-model", "kernel_id": "48637580"}, {"ref": "kashishparmar02/exercise-model-validation", "kernel_id": "48638475"}, {"ref": "kashishparmar02/exercise-underfitting-and-overfitting", "kernel_id": "48639398"}, {"ref": "bromotdi/exercise-xgboost", "kernel_id": "48228679"}, {"ref": "bromotdi/exercise-data-leakage", "kernel_id": "48270177"}, {"ref": "bromotdi/exercise-pipelines", "kernel_id": "48136127"}, {"ref": "bromotdi/exercise-categorical-variables", "kernel_id": "48135755"}, {"ref": "bromotdi/exercise-cross-validation", "kernel_id": "48166641"}, {"ref": "dimodimchev/housing-prices-prediction-beginner-notebook", "kernel_id": "48327704"}, {"ref": "chikkanikhil/exercise-introduction", "kernel_id": "48917837"}, {"ref": "vishnupullela/exercise-machine-learning-competitions", "kernel_id": "48339966"}, {"ref": "ardazlata/exercise-random-forests", "kernel_id": "48232531"}, {"ref": "ardazlata/exercise-underfitting-and-overfitting", "kernel_id": "48196175"}, {"ref": "ardazlata/exercise-model-validation", "kernel_id": "48188362"}, {"ref": "ardazlata/exercise-your-first-machine-learning-model", "kernel_id": "48042246"}, {"ref": "lachmclean/top-2-housing-prices-competition-model", "kernel_id": "48571658"}, {"ref": "enggooo/exercise-model-validation", "kernel_id": "48901708"}, {"ref": "yorkyong/exercise-categorical-variables", "kernel_id": "48329174"}, {"ref": "rohitsahib700126/exercise-data-leakage", "kernel_id": "48066114"}, {"ref": "rohitsahib700126/exercise-xgboost", "kernel_id": "48065937"}, {"ref": "rohitsahib700126/exercise-underfitting-and-overfitting", "kernel_id": "48064081"}, {"ref": "rohitsahib700126/exercise-random-forests", "kernel_id": "48064233"}, {"ref": "rohitsahib700126/exercise-model-validation", "kernel_id": "48063818"}, {"ref": "rohitsahib700126/exercise-categorical-variables", "kernel_id": "48065171"}, {"ref": "rohitsahib700126/exercise-missing-values", "kernel_id": "48064886"}, {"ref": "rohitsahib700126/exercise-your-first-machine-learning-model", "kernel_id": "48063485"}, {"ref": "mirfayzirgashevdku/housingpricesprediction", "kernel_id": "48946406"}, {"ref": "danesmaster/housing-prices", "kernel_id": "48532762"}, {"ref": "danesmaster/housing-prices-competition", "kernel_id": "48532201"}, {"ref": "eric125/exercise-machine-learning-competitions", "kernel_id": "48530048"}, {"ref": "napolendevesa/exercise-your-first-machine-learning-model", "kernel_id": "49343611"}, {"ref": "napolendevesa/exercise-underfitting-and-overfitting", "kernel_id": "49384812"}, {"ref": "napolendevesa/exercise-random-forests", "kernel_id": "49385132"}, {"ref": "napolendevesa/exercise-machine-learning-competitions", "kernel_id": "49385196"}, {"ref": "napolendevesa/exercise-model-validation", "kernel_id": "49381754"}, {"ref": "an1ndya/exercise-machine-learning-competitions", "kernel_id": "49231200"}, {"ref": "an1ndya/exercise-random-forests", "kernel_id": "49168390"}, {"ref": "an1ndya/exercise-underfitting-and-overfitting", "kernel_id": "49165949"}, {"ref": "an1ndya/exercise-your-first-machine-learning-model", "kernel_id": "49105624"}, {"ref": "an1ndya/exercise-model-validation", "kernel_id": "49119489"}, {"ref": "alekseiuk/simple-house-prices-regression", "kernel_id": "49159847"}, {"ref": "ezequielalvessoares/exercise-cross-validation", "kernel_id": "49527554"}, {"ref": "gloriavilla/exercise-your-first-machine-learning-model", "kernel_id": "49357753"}, {"ref": "mohanpradhan42/exercise-machine-learning-competitions", "kernel_id": "49521719"}, {"ref": "jyotimondal/exercise-underfitting-and-overfitting", "kernel_id": "49748709"}, {"ref": "jyotimondal/exercise-model-validation", "kernel_id": "49746930"}, {"ref": "chayanroy3/exercise-model-validation", "kernel_id": "49082616"}, {"ref": "ubaydullohasatullaev/machine-learning-competitions", "kernel_id": "49808157"}, {"ref": "uroojmurtaza/exercise-machine-learning-competitions", "kernel_id": "49050788"}, {"ref": "esraameslamsayed/housing-price-processing-ml", "kernel_id": "49581528"}, {"ref": "kuldeep1prajapati/exercise-pipelines", "kernel_id": "49511997"}, {"ref": "athi2003/exercise-machine-learning-competitions", "kernel_id": "49577009"}, {"ref": "jamhadbyers/exercise-model-validation", "kernel_id": "49553485"}, {"ref": "grey12/exercise-introduction", "kernel_id": "49311195"}, {"ref": "xedrix/exercise-missing-values", "kernel_id": "49120374"}, {"ref": "jahnavinischal/exercise-machine-learning-competitions", "kernel_id": "49751457"}, {"ref": "tamalkoley/machine-learning-model", "kernel_id": "49091996"}, {"ref": "joyygoswami/exercise-machine-learning-competitions", "kernel_id": "49579067"}, {"ref": "piyush1234ggfuvi/exercise-random-forests", "kernel_id": "49885710"}, {"ref": "piyush1234ggfuvi/exercise-machine-learning-competitions", "kernel_id": "49885866"}, {"ref": "piyush1234ggfuvi/exercise-model-validation", "kernel_id": "49778563"}, {"ref": "piyush1234ggfuvi/exercise-your-first-machine-learning-model", "kernel_id": "49771259"}, {"ref": "piyush1234ggfuvi/exercise-underfitting-and-overfitting", "kernel_id": "49781480"}, {"ref": "zen4sg/exercise-machine-learning-competitions", "kernel_id": "49640960"}, {"ref": "dhruvgarg1010/notebook2d35f27c17", "kernel_id": "49795970"}, {"ref": "dontdeleteme/predict-house-price-with-xgboost", "kernel_id": "49217424"}, {"ref": "corzent/building-my-model", "kernel_id": "49208610"}, {"ref": "abhyudaya12/exercise-random-forests", "kernel_id": "49794109"}, {"ref": "abhyudaya12/exercise-machine-learning-competitions", "kernel_id": "49794310"}, {"ref": "abhyudaya12/exercise-model-validation", "kernel_id": "49790419"}, {"ref": "abhyudaya12/exercise-underfitting-and-overfitting", "kernel_id": "49791671"}, {"ref": "abhyudaya12/exercise-your-first-machine-learning-model", "kernel_id": "49788285"}, {"ref": "datamystique/exercise-machine-learning-competitions", "kernel_id": "49427078"}, {"ref": "sabinacheruiyot/exercise-your-first-machine-learning-model", "kernel_id": "49846892"}, {"ref": "headlok/exercise-your-first-machine-learning-model", "kernel_id": "49164444"}, {"ref": "jakariahossain/top-1-housing-price-eda-random-for-everyone", "kernel_id": "49342972"}, {"ref": "onamikasorkerritu/top-1-housing-price-eda-random-for-everyone", "kernel_id": "49264069"}, {"ref": "annaalberoforte/exercise-missing-values", "kernel_id": "49464507"}, {"ref": "annaalberoforte/exercise-categorical-variables", "kernel_id": "49468131"}, {"ref": "annaalberoforte/exercise-xgboost", "kernel_id": "49519273"}, {"ref": "annaalberoforte/exercise-data-leakage", "kernel_id": "49519647"}, {"ref": "rafaelwhoa/exercise-your-first-machine-learning-model", "kernel_id": "49762600"}, {"ref": "rafaelwhoa/exercise-underfitting-and-overfitting", "kernel_id": "49813839"}, {"ref": "rafaelwhoa/exercise-model-validation", "kernel_id": "49812966"}, {"ref": "rafaelwhoa/exercise-random-forests", "kernel_id": "49814581"}, {"ref": "rafaelwhoa/exercise-machine-learning-competitions", "kernel_id": "49814718"}, {"ref": "pjh824/exercise-xgboost", "kernel_id": "49876534"}, {"ref": "aayushsin7a/exercise-underfitting-and-overfitting", "kernel_id": "50870067"}, {"ref": "jacobchalk/exercise-machine-learning-competitions", "kernel_id": "50998911"}, {"ref": "mozammalhaquetonoy/exercise-your-first-machine-learning-model", "kernel_id": "50996744"}, {"ref": "smdshk/top-2-housing-price-prediction-eda-xgboost", "kernel_id": "50516283"}, {"ref": "yahayaibrahimu/exercise-your-first-machine-learning-model", "kernel_id": "50266772"}, {"ref": "benzilla987/exercise-introduction", "kernel_id": "50997404"}, {"ref": "benzilla987/exercise-your-first-machine-learning-model", "kernel_id": "50612983"}, {"ref": "benzilla987/exercise-model-validation", "kernel_id": "50613453"}, {"ref": "benzilla987/exercise-underfitting-and-overfitting", "kernel_id": "50614823"}, {"ref": "benzilla987/exercise-random-forests", "kernel_id": "50615182"}, {"ref": "benzilla987/exercise-machine-learning-competitions", "kernel_id": "50621304"}, {"ref": "jrkhops/exercise-missing-values", "kernel_id": "50997174"}, {"ref": "jrkhops/exercise-introduction", "kernel_id": "50996931"}, {"ref": "jrkhops/exercise-categorical-variables", "kernel_id": "50998161"}, {"ref": "jrkhops/exercise-pipelines", "kernel_id": "50999316"}, {"ref": "jrkhops/exercise-cross-validation", "kernel_id": "50999869"}, {"ref": "durganivibalaaiandds/house-pred", "kernel_id": "50316119"}, {"ref": "karthikdani/exercise-machine-learning-competitions", "kernel_id": "50029727"}, {"ref": "karthikdani/exercise-random-forests", "kernel_id": "50029456"}, {"ref": "karthikdani/exercise-underfitting-and-overfitting", "kernel_id": "50027785"}, {"ref": "anmol111pal/exercise-model-validation", "kernel_id": "50205601"}, {"ref": "anmol111pal/exercise-random-forests", "kernel_id": "50207440"}, {"ref": "anmol111pal/exercise-machine-learning-competitions", "kernel_id": "50207584"}, {"ref": "anmol111pal/exercise-underfitting-and-overfitting", "kernel_id": "50206611"}, {"ref": "anmol111pal/exercise-introduction", "kernel_id": "50214913"}, {"ref": "anmol111pal/exercise-missing-values", "kernel_id": "50217384"}, {"ref": "anmol111pal/exercise-categorical-variables", "kernel_id": "50248283"}, {"ref": "anmol111pal/exercise-xgboost", "kernel_id": "50253900"}, {"ref": "olegmatusovsky/exercise-pipelines", "kernel_id": "50221292"}, {"ref": "ammaratariq/exercise-model-validation", "kernel_id": "50996752"}, {"ref": "ammaratariq/exercise-your-first-machine-learning-model", "kernel_id": "50985102"}, {"ref": "eugenielee/regression-techniques-in-property-price-prediction", "kernel_id": "50417177"}, {"ref": "ubaydullohasatullaev/random-forest1", "kernel_id": "50684812"}, {"ref": "ubaydullohasatullaev/machine-learning-competitions1", "kernel_id": "50687196"}, {"ref": "ubaydullohasatullaev/model-validation1", "kernel_id": "50506556"}, {"ref": "ubaydullohasatullaev/underfitting-and-overfitting1", "kernel_id": "50553087"}, {"ref": "ubaydullohasatullaev/machine-learning-model", "kernel_id": "50180525"}, {"ref": "aldrinlambon/10-insights-on-house-pricing", "kernel_id": "50018491"}, {"ref": "jigsaw13/exercise-machine-learning-competitions", "kernel_id": "50707819"}, {"ref": "stemosamaghandour/exercise-missing-values", "kernel_id": "50606056"}, {"ref": "alarmanovi/exercise-your-first-machine-learning-model", "kernel_id": "50159430"}, {"ref": "piyush1234ggfuvi/exercise-xgboost", "kernel_id": "50352741"}, {"ref": "piyush1234ggfuvi/exercise-missing-values", "kernel_id": "50162943"}, {"ref": "eastonlarson/exercise-machine-learning-competitions", "kernel_id": "50613725"}, {"ref": "eastonlarson/exercise-random-forests", "kernel_id": "50612846"}, {"ref": "eastonlarson/exercise-underfitting-and-overfitting", "kernel_id": "50612737"}, {"ref": "eastonlarson/exercise-data-leakage", "kernel_id": "50913278"}, {"ref": "eastonlarson/exercise-xgboost", "kernel_id": "50913049"}, {"ref": "eastonlarson/exercise-pipelines", "kernel_id": "50912646"}, {"ref": "eastonlarson/exercise-cross-validation", "kernel_id": "50912774"}, {"ref": "eastonlarson/exercise-categorical-variables", "kernel_id": "50912388"}, {"ref": "eastonlarson/exercise-introduction", "kernel_id": "50879957"}, {"ref": "eastonlarson/exercise-missing-values", "kernel_id": "50880012"}, {"ref": "eastonlarson/exercise-your-first-machine-learning-model", "kernel_id": "50512134"}, {"ref": "eastonlarson/exercise-model-validation", "kernel_id": "50513009"}, {"ref": "codyjanderson/exercise-your-first-machine-learning-model", "kernel_id": "50516911"}, {"ref": "codyjanderson/exercise-model-validation", "kernel_id": "50517572"}, {"ref": "codyjanderson/exercise-random-forests", "kernel_id": "50518311"}, {"ref": "codyjanderson/exercise-machine-learning-competitions", "kernel_id": "50518568"}, {"ref": "codyjanderson/exercise-underfitting-and-overfitting", "kernel_id": "50518133"}, {"ref": "codyjanderson/exercise-categorical-variables", "kernel_id": "50912981"}, {"ref": "codyjanderson/exercise-missing-values", "kernel_id": "50912413"}, {"ref": "codyjanderson/exercise-introduction", "kernel_id": "50912255"}, {"ref": "codyjanderson/exercise-cross-validation", "kernel_id": "50913343"}, {"ref": "codyjanderson/exercise-xgboost", "kernel_id": "50913512"}, {"ref": "codyjanderson/exercise-data-leakage", "kernel_id": "50913631"}, {"ref": "codyjanderson/exercise-pipelines", "kernel_id": "50913224"}, {"ref": "rejroky/exercise-machine-learning-competitions", "kernel_id": "50095857"}, {"ref": "rejroky/exercise-underfitting-and-overfitting", "kernel_id": "50091191"}, {"ref": "rejroky/exercise-model-validation", "kernel_id": "50090733"}, {"ref": "rejroky/exercise-random-forests", "kernel_id": "50091306"}, {"ref": "rejroky/exercise-your-first-machine-learning-model", "kernel_id": "50089690"}, {"ref": "nbhrjn/exercise-machine-learning-competitions", "kernel_id": "50135929"}, {"ref": "hrishikesh75/exercise-machine-learning-competitions", "kernel_id": "50766432"}, {"ref": "mukerr/exercise-ml-competitions-housing-prices", "kernel_id": "50252146"}, {"ref": "mukerr/exercise-model-validation", "kernel_id": "50249316"}, {"ref": "manujame/exercise-categorical-variables", "kernel_id": "50091026"}, {"ref": "jacobedryan/exercise-categorical-variables", "kernel_id": "50910733"}, {"ref": "science182lonzozou/exercise-categorical-variables", "kernel_id": "50810544"}, {"ref": "science182lonzozou/exercise-missing-values", "kernel_id": "50781334"}, {"ref": "science182lonzozou/exercise-cross-validation", "kernel_id": "50985471"}, {"ref": "science182lonzozou/exercise-xgboost", "kernel_id": "50991683"}, {"ref": "science182lonzozou/exercise-pipelines", "kernel_id": "50914314"}, {"ref": "science182lonzozou/exercise-machine-learning-competitions", "kernel_id": "50269007"}, {"ref": "science182lonzozou/notebook426065b62c", "kernel_id": "50277984"}, {"ref": "science182lonzozou/exercise-underfitting-and-overfitting", "kernel_id": "50218489"}, {"ref": "saptakbiswas/exercise-machine-learning-competitions", "kernel_id": "50063269"}, {"ref": "abhyudaya12/exercise-missing-values", "kernel_id": "50106399"}, {"ref": "abhyudaya12/exercise-introduction", "kernel_id": "50070076"}, {"ref": "abhyudaya12/exercise-categorical-variables", "kernel_id": "50322564"}, {"ref": "abhyudaya12/exercise-pipelines", "kernel_id": "50429798"}, {"ref": "abhyudaya12/exercise-cross-validation", "kernel_id": "50470751"}, {"ref": "abhyudaya12/exercise-data-leakage", "kernel_id": "50730069"}, {"ref": "abhyudaya12/exercise-xgboost", "kernel_id": "50728479"}, {"ref": "saurkap/exercise-machine-learning-competitions", "kernel_id": "50278599"}, {"ref": "valeriiabiruk/exercise-xgboost", "kernel_id": "50060678"}, {"ref": "bushraqurban/exercise-model-validation", "kernel_id": "50087248"}, {"ref": "bushraqurban/exercise-your-first-machine-learning-model", "kernel_id": "50085816"}, {"ref": "bushraqurban/exercise-machine-learning-competitions", "kernel_id": "50096595"}, {"ref": "tarndeepsingh16/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "50958260"}, {"ref": "raykdoyle/exercise-introduction", "kernel_id": "50843070"}, {"ref": "raykdoyle/exercise-categorical-variables", "kernel_id": "50843434"}, {"ref": "raykdoyle/exercise-missing-values", "kernel_id": "50843248"}, {"ref": "raykdoyle/exercise-pipelines", "kernel_id": "50843602"}, {"ref": "raykdoyle/exercise-cross-validation", "kernel_id": "50843730"}, {"ref": "raykdoyle/exercise-xgboost", "kernel_id": "50843845"}, {"ref": "raykdoyle/exercise-data-leakage", "kernel_id": "50844021"}, {"ref": "raykdoyle/exercise-underfitting-and-overfitting", "kernel_id": "50524245"}, {"ref": "raykdoyle/exercise-model-validation", "kernel_id": "50524077"}, {"ref": "raykdoyle/exercise-random-forests", "kernel_id": "50524447"}, {"ref": "raykdoyle/exercise-machine-learning-competitions", "kernel_id": "50524564"}, {"ref": "raykdoyle/exercise-your-first-machine-learning-model", "kernel_id": "50485891"}, {"ref": "parvez0khan/exercise-your-first-machine-learning-model", "kernel_id": "50632402"}, {"ref": "parvez0khan/exercise-machine-learning-competitions", "kernel_id": "50770425"}, {"ref": "parvez0khan/exercise-random-forests", "kernel_id": "50769946"}, {"ref": "parvez0khan/exercise-underfitting-and-overfitting", "kernel_id": "50725340"}, {"ref": "parvez0khan/exercise-model-validation", "kernel_id": "50710035"}, {"ref": "lwtbkaggle/competition-housing-prices-xgboost-cross-valid", "kernel_id": "50708235"}, {"ref": "orangehokage/exercise-missing-values", "kernel_id": "50242532"}, {"ref": "zabiamiri/exercise-machine-learning-competitions", "kernel_id": "50181537"}, {"ref": "tonnylee156/exercise-categorical-variables", "kernel_id": "50344616"}, {"ref": "tonnylee156/exercise-missing-values", "kernel_id": "50344782"}, {"ref": "gauravlikesdata/exercise-your-first-machine-learning-model", "kernel_id": "50730486"}, {"ref": "codingnarayan/exercise-machine-learning-competitions", "kernel_id": "50740471"}, {"ref": "romasharma/exercise-machine-learning-competitions", "kernel_id": "50726730"}, {"ref": "nerdevcode/exercise-your-first-machine-learning-model", "kernel_id": "50743413"}, {"ref": "vemendez/exercise-pipelines", "kernel_id": "51195187"}, {"ref": "aishwaryanandakumar/exercise-your-first-machine-learning-model", "kernel_id": "51016223"}, {"ref": "aishwaryanandakumar/exercise-model-validation", "kernel_id": "51016750"}, {"ref": "aishwaryanandakumar/exercise-underfitting-and-overfitting", "kernel_id": "51017026"}, {"ref": "aishwaryanandakumar/exercise-machine-learning-competitions", "kernel_id": "51017244"}, {"ref": "gabrielfcarvalho/house-pricing-competition", "kernel_id": "51286443"}, {"ref": "nchuvv/exercise-categorical-variables", "kernel_id": "51780859"}, {"ref": "mdramjanali/exercise-first-machine-learning-model", "kernel_id": "51540802"}, {"ref": "kushalrana/exercise-machine-learning-competitions", "kernel_id": "51028313"}, {"ref": "rdelcastillo/exercise-introduction", "kernel_id": "51562221"}, {"ref": "mozammalhaquetonoy/exercise-underfitting-and-overfitting", "kernel_id": "51178054"}, {"ref": "mozammalhaquetonoy/exercise-random-forests", "kernel_id": "51286089"}, {"ref": "mozammalhaquetonoy/exercise-model-validation", "kernel_id": "51076353"}, {"ref": "mozammalhaquetonoy/exercise-machine-learning-competitions", "kernel_id": "51413579"}, {"ref": "nadirasyifak/exercise-xgboost", "kernel_id": "51797913"}, {"ref": "nadirasyifak/exercise-data-leakage", "kernel_id": "51798026"}, {"ref": "denisemtatih/exercise-model-validation", "kernel_id": "51986470"}, {"ref": "denisemtatih/exercise-random-forests", "kernel_id": "51995752"}, {"ref": "denisemtatih/exercise-machine-learning-competitions", "kernel_id": "51996280"}, {"ref": "denisemtatih/exercise-underfitting-and-overfitting", "kernel_id": "51992765"}, {"ref": "benzilla987/exercise-xgboost", "kernel_id": "51000848"}, {"ref": "benzilla987/exercise-pipelines", "kernel_id": "51000613"}, {"ref": "benzilla987/exercise-cross-validation", "kernel_id": "51000667"}, {"ref": "benzilla987/exercise-missing-values", "kernel_id": "51000339"}, {"ref": "benzilla987/exercise-categorical-variables", "kernel_id": "51000459"}, {"ref": "benzilla987/exercise-data-leakage", "kernel_id": "51026569"}, {"ref": "jrkhops/exercise-xgboost", "kernel_id": "51000508"}, {"ref": "jrkhops/exercise-data-leakage", "kernel_id": "51000812"}, {"ref": "ammaratariq/exercise-underfitting-and-overfitting", "kernel_id": "51013317"}, {"ref": "ammaratariq/exercise-random-forests", "kernel_id": "51014363"}, {"ref": "ammaratariq/exercise-machine-learning-competitions", "kernel_id": "51014793"}, {"ref": "ubaidtanoli/score-13370-top-600", "kernel_id": "51180268"}, {"ref": "siddhantchutke/exercise-machine-learning-competitions", "kernel_id": "51019142"}, {"ref": "danielmcampos/house-prices-1-eda", "kernel_id": "51484813"}, {"ref": "danielmcampos/house-prices-regularized-regression", "kernel_id": "51711948"}, {"ref": "danielmcampos/house-prices-3-hybrid-boosting", "kernel_id": "51661005"}, {"ref": "danielmcampos/house-prices-2-cv-and-baseline-model", "kernel_id": "51593935"}, {"ref": "danielmcampos/house-prices-5-interactions", "kernel_id": "51857018"}, {"ref": "shiivvvaam/exercise-machine-learning-competitions", "kernel_id": "51514774"}, {"ref": "nilotpalmaitra/exercise-model-validation", "kernel_id": "51042497"}, {"ref": "nilotpalmaitra/exercise-underfitting-and-overfitting", "kernel_id": "51042629"}, {"ref": "nilotpalmaitra/exercise-random-forests", "kernel_id": "51042689"}, {"ref": "leilakasmi/exercise-model-validation", "kernel_id": "51086529"}, {"ref": "leilakasmi/exercise-your-first-machine-learning-model", "kernel_id": "51085367"}, {"ref": "leilakasmi/exercise-random-forests", "kernel_id": "51110161"}, {"ref": "leilakasmi/exercise-machine-learning-competitions", "kernel_id": "51110727"}, {"ref": "leilakasmi/exercise-underfitting-and-overfitting", "kernel_id": "51109215"}, {"ref": "science182lonzozou/exercise-data-leakage", "kernel_id": "51030705"}, {"ref": "ojwangnicholas/exercise-your-first-machine-learning-model", "kernel_id": "51913878"}, {"ref": "ojwangnicholas/exercise-model-validation", "kernel_id": "51959139"}, {"ref": "ojwangnicholas/exercise-underfitting-and-overfitting-4d52f1", "kernel_id": "51961370"}, {"ref": "rukaiyakhatoon/exercise-your-first-machine-learning-model", "kernel_id": "51457139"}, {"ref": "rohitroh/catboostregressor-ames-housing-price-prediction", "kernel_id": "51125935"}, {"ref": "himadrigpt16/exercise-machine-learning-competitions-him", "kernel_id": "51226484"}, {"ref": "gauravlikesdata/exercise-introduction", "kernel_id": "51453131"}, {"ref": "gauravlikesdata/exercise-random-forests", "kernel_id": "51271463"}, {"ref": "gauravlikesdata/exercise-machine-learning-competitions", "kernel_id": "51271740"}, {"ref": "gauravlikesdata/exercise-model-validation", "kernel_id": "51180201"}, {"ref": "gauravlikesdata/exercise-underfitting-and-overfitting", "kernel_id": "51182412"}, {"ref": "vijayk1432/exercise-underfitting-and-overfitting", "kernel_id": "51101335"}, {"ref": "vijayk1432/exercise-model-validation", "kernel_id": "51033361"}, {"ref": "vijayk1432/exercise-your-first-machine-learning-model", "kernel_id": "51014611"}, {"ref": "vijayk1432/exercise-random-forests", "kernel_id": "51274522"}, {"ref": "vijayk1432/exercise-machine-learning-competitions", "kernel_id": "51275466"}, {"ref": "ingojanser/exercise-missing-values", "kernel_id": "51659961"}, {"ref": "ingojanser/exercise-introduction", "kernel_id": "51657310"}, {"ref": "oyunbaatar/exercise-machine-learning-competitions", "kernel_id": "51813009"}, {"ref": "oyunbaatar/exercise-categorical-variables", "kernel_id": "51971664"}, {"ref": "poludniowyalbanczyk/exercise-missing-values", "kernel_id": "52105718"}, {"ref": "sunyyyy07/exercise-machine-learning-competitions", "kernel_id": "52291390"}, {"ref": "domanskil/housing-prices-compeition-ver4-clean-version", "kernel_id": "52089264"}, {"ref": "samandarxamidov/exercise-pipelines", "kernel_id": "52211495"}, {"ref": "lotusb001/exercise-categorical-variables", "kernel_id": "52866073"}, {"ref": "venkatsai0301/exercise-introduction", "kernel_id": "52302045"}, {"ref": "angelaqinn/exercise-random-forests", "kernel_id": "52196869"}, {"ref": "jaymehta251203/exercise-model-validation", "kernel_id": "52437516"}, {"ref": "sriharshab/boomboomcompitition", "kernel_id": "52051316"}, {"ref": "hajarlbhyry/house-price-prediction", "kernel_id": "52504862"}, {"ref": "jhucul/exercise-machine-learning-competitions", "kernel_id": "52616937"}, {"ref": "jhucul/exercise-random-forests", "kernel_id": "52052010"}, {"ref": "nigeltanyong/exercise-your-first-machine-learning-model", "kernel_id": "52966339"}, {"ref": "nigeltanyong/exercise-model-validation", "kernel_id": "52998667"}, {"ref": "ayeshanoor1/exercise-introduction", "kernel_id": "52908109"}, {"ref": "ayeshanoor1/exercise-your-first-machine-learning-model", "kernel_id": "52911292"}, {"ref": "ayeshanoor1/exercise-model-validation", "kernel_id": "52990895"}, {"ref": "upeshjeengar/exercise-random-forests", "kernel_id": "52213231"}, {"ref": "upeshjeengar/exercise-your-first-machine-learning-model", "kernel_id": "52209265"}, {"ref": "animaiti/exercise-categorical-variables", "kernel_id": "52321143"}, {"ref": "danielmcampos/house-prices-7-gradient-boosting", "kernel_id": "52436108"}, {"ref": "leonardofarran/exercise-your-first-machine-learning-model", "kernel_id": "52749623"}, {"ref": "albertdulian/eda-cook-note-book", "kernel_id": "52664040"}, {"ref": "martaseidler/housing-prices-competition", "kernel_id": "52709600"}, {"ref": "ojwangnicholas/exercise-machine-learning-competitions", "kernel_id": "52589210"}, {"ref": "denisschedrin/iowahh", "kernel_id": "52817661"}, {"ref": "moniquerichard/exercise-xgboost", "kernel_id": "52610921"}, {"ref": "mkubina/exercise-machine-learning-competitions", "kernel_id": "52454016"}, {"ref": "aishamazhar/exercise-your-first-machine-learning-model", "kernel_id": "52908536"}, {"ref": "aishamazhar/exercise-random-forests", "kernel_id": "52913355"}, {"ref": "aishamazhar/exercise-machine-learning-competitions", "kernel_id": "52913693"}, {"ref": "aishamazhar/exercise-underfitting-and-overfitting", "kernel_id": "52910197"}, {"ref": "aishamazhar/exercise-model-validation", "kernel_id": "52909785"}, {"ref": "joshuafrey/exercise-underfitting-and-overfitting", "kernel_id": "52347703"}, {"ref": "joshuafrey/exercise-machine-learning-competitions", "kernel_id": "52349234"}, {"ref": "joshuafrey/exercise-random-forests", "kernel_id": "52348994"}, {"ref": "joshuafrey/exercise-model-validation", "kernel_id": "52346952"}, {"ref": "joshuafrey/exercise-your-first-machine-learning-model", "kernel_id": "52346113"}, {"ref": "nicolasandrespalacio/exercise-your-first-machine-learning-model", "kernel_id": "52001641"}, {"ref": "santoshdp/exercise-machine-learning-competitions", "kernel_id": "52631926"}, {"ref": "stevecoder101/exercise-machine-learning-competitions", "kernel_id": "52181420"}, {"ref": "stevecoder101/exercise-introduction", "kernel_id": "52216005"}, {"ref": "stevecoder101/notebookfaeec40ee1", "kernel_id": "52149916"}, {"ref": "yusufsalihdemirci/exercise-machine-learning-competitions", "kernel_id": "52525503"}, {"ref": "enlighter/exercise-your-first-machine-learning-model", "kernel_id": "53670267"}, {"ref": "enlighter/exercise-model-validation", "kernel_id": "53670745"}, {"ref": "enlighter/exercise-underfitting-and-overfitting", "kernel_id": "53671067"}, {"ref": "enlighter/exercise-random-forests", "kernel_id": "53671263"}, {"ref": "enlighter/exercise-machine-learning-competitions", "kernel_id": "53671348"}, {"ref": "thielyrics/exercise-model-validation", "kernel_id": "53678356"}, {"ref": "thielyrics/exercise-underfitting-and-overfitting", "kernel_id": "53681408"}, {"ref": "thielyrics/exercise-random-forests", "kernel_id": "53681953"}, {"ref": "thielyrics/exercise-machine-learning-competitions", "kernel_id": "53682188"}, {"ref": "thielyrics/exercise-your-first-machine-learning-model", "kernel_id": "53675437"}, {"ref": "skg234/exercise-underfitting-and-overfitting", "kernel_id": "53771297"}, {"ref": "skg234/exercise-random-forests", "kernel_id": "53771821"}, {"ref": "skg234/exercise-machine-learning-competitions", "kernel_id": "53772322"}, {"ref": "skg234/exercise-model-validation", "kernel_id": "53745591"}, {"ref": "skg234/exercise-your-first-machine-learning-model", "kernel_id": "53704285"}, {"ref": "thejameskim/exercise-underfitting-and-overfitting", "kernel_id": "53646470"}, {"ref": "thejameskim/exercise-random-forests", "kernel_id": "53647090"}, {"ref": "thejameskim/exercise-machine-learning-competitions", "kernel_id": "53647503"}, {"ref": "thejameskim/exercise-your-first-machine-learning-model", "kernel_id": "53644506"}, {"ref": "thejameskim/exercise-model-validation", "kernel_id": "53645189"}, {"ref": "derrickli5315/exercise-random-forests", "kernel_id": "53782699"}, {"ref": "derrickli5315/exercise-machine-learning-competitions", "kernel_id": "53782787"}, {"ref": "derrickli5315/exercise-underfitting-and-overfitting", "kernel_id": "53780818"}, {"ref": "derrickli5315/exercise-your-first-machine-learning-model", "kernel_id": "53779980"}, {"ref": "derrickli5315/exercise-model-validation", "kernel_id": "53780390"}, {"ref": "jdlongley/exercise-your-first-machine-learning-model", "kernel_id": "53632239"}, {"ref": "jdlongley/exercise-underfitting-and-overfitting", "kernel_id": "53632577"}, {"ref": "jdlongley/exercise-random-forests", "kernel_id": "53632688"}, {"ref": "jdlongley/exercise-machine-learning-competitions", "kernel_id": "53632728"}, {"ref": "jdlongley/exercise-model-validation", "kernel_id": "53632417"}, {"ref": "monicahouston/exercise-random-forests", "kernel_id": "53420660"}, {"ref": "monicahouston/exercise-machine-learning-competitions", "kernel_id": "53474859"}, {"ref": "monicahouston/exercise-your-first-machine-learning-model", "kernel_id": "53409466"}, {"ref": "monicahouston/exercise-underfitting-and-overfitting", "kernel_id": "53413669"}, {"ref": "monicahouston/exercise-model-validation", "kernel_id": "53410678"}, {"ref": "korayvatan/comp-468-homework-1-koray-vatan", "kernel_id": "53663090"}, {"ref": "kristiannova/contoh-pengerjaan-saleprice", "kernel_id": "53221789"}, {"ref": "poludniowyalbanczyk/exercise-categorical-variables", "kernel_id": "53258883"}, {"ref": "salimaddi/exercise-your-first-machine-learning-model", "kernel_id": "53781185"}, {"ref": "salimaddi/exercise-model-validation", "kernel_id": "53782839"}, {"ref": "salimaddi/exercise-underfitting-and-overfitting", "kernel_id": "53783185"}, {"ref": "salimaddi/exercise-random-forests", "kernel_id": "53783239"}, {"ref": "salimaddi/exercise-machine-learning-competitions", "kernel_id": "53783283"}, {"ref": "sunyataq/classification", "kernel_id": "53164654"}, {"ref": "mozammalhaquetonoy/exercise-missing-values", "kernel_id": "53294676"}, {"ref": "mozammalhaquetonoy/exercise-introduction", "kernel_id": "53153251"}, {"ref": "mozammalhaquetonoy/exercise-categorical-variables", "kernel_id": "53980810"}, {"ref": "daleberg/exercise-your-first-machine-learning-model", "kernel_id": "53687127"}, {"ref": "daleberg/exercise-machine-learning-competitions", "kernel_id": "53761725"}, {"ref": "daleberg/exercise-random-forests", "kernel_id": "53761038"}, {"ref": "daleberg/exercise-underfitting-and-overfitting", "kernel_id": "53755502"}, {"ref": "daleberg/exercise-model-validation", "kernel_id": "53754787"}, {"ref": "martinapletcher/exercise-machine-learning-competitions", "kernel_id": "53584757"}, {"ref": "martinapletcher/exercise-random-forests", "kernel_id": "53584243"}, {"ref": "martinapletcher/exercise-underfitting-and-overfitting", "kernel_id": "53583589"}, {"ref": "martinapletcher/exercise-your-first-machine-learning-model", "kernel_id": "53531341"}, {"ref": "martinapletcher/exercise-model-validation", "kernel_id": "53575319"}, {"ref": "mmaryyang/exercise-your-first-machine-learning-model", "kernel_id": "53635523"}, {"ref": "mmaryyang/exercise-random-forests", "kernel_id": "53639887"}, {"ref": "mmaryyang/exercise-machine-learning-competitions", "kernel_id": "53639985"}, {"ref": "mmaryyang/exercise-underfitting-and-overfitting", "kernel_id": "53639018"}, {"ref": "mmaryyang/exercise-model-validation", "kernel_id": "53636574"}, {"ref": "carolinaemanuele/exercise-machine-learning-competitions", "kernel_id": "53759331"}, {"ref": "reaperlethal/exercise-cross-validation", "kernel_id": "53938373"}, {"ref": "reaperlethal/exercise-underfitting-and-overfitting", "kernel_id": "53852422"}, {"ref": "reaperlethal/exercise-missing-values", "kernel_id": "53887642"}, {"ref": "reaperlethal/exercise-machine-learning-competitions", "kernel_id": "53883099"}, {"ref": "freddypinto/exercise-underfitting-and-overfitting", "kernel_id": "53378166"}, {"ref": "freddypinto/exercise-model-validation", "kernel_id": "53275330"}, {"ref": "freddypinto/exercise-machine-learning-competitions", "kernel_id": "53936080"}, {"ref": "freddypinto/exercise-random-forests", "kernel_id": "53844938"}, {"ref": "eugeneweiss/exercise-underfitting-and-overfitting", "kernel_id": "53771780"}, {"ref": "eugeneweiss/exercise-random-forests", "kernel_id": "53772514"}, {"ref": "eugeneweiss/exercise-machine-learning-competitions", "kernel_id": "53772683"}, {"ref": "eugeneweiss/exercise-your-first-machine-learning-model", "kernel_id": "53769223"}, {"ref": "eugeneweiss/exercise-model-validation", "kernel_id": "53770074"}, {"ref": "nigeltanyong/exercise-data-leakage", "kernel_id": "53077515"}, {"ref": "nigeltanyong/exercise-categorical-variables", "kernel_id": "53055162"}, {"ref": "nigeltanyong/exercise-missing-values", "kernel_id": "53052737"}, {"ref": "nigeltanyong/exercise-xgboost", "kernel_id": "53075739"}, {"ref": "nigeltanyong/exercise-cross-validation", "kernel_id": "53074209"}, {"ref": "nigeltanyong/exercise-pipelines", "kernel_id": "53073022"}, {"ref": "nigeltanyong/exercise-random-forests", "kernel_id": "53003627"}, {"ref": "nigeltanyong/exercise-machine-learning-competitions", "kernel_id": "53004000"}, {"ref": "nigeltanyong/exercise-introduction", "kernel_id": "53051148"}, {"ref": "ayeshanoor1/exercise-xgboost", "kernel_id": "53286444"}, {"ref": "ayeshanoor1/exercise-cross-validation", "kernel_id": "53285861"}, {"ref": "ayeshanoor1/exercise-pipelines", "kernel_id": "53285465"}, {"ref": "ayeshanoor1/exercise-machine-learning-competitions", "kernel_id": "53293717"}, {"ref": "ayeshanoor1/exercise-data-leakage", "kernel_id": "53291302"}, {"ref": "ayeshanoor1/exercise-underfitting-and-overfitting", "kernel_id": "53291552"}, {"ref": "ayeshanoor1/exercise-random-forests", "kernel_id": "53293471"}, {"ref": "ayeshanoor1/exercise-categorical-variables", "kernel_id": "53260716"}, {"ref": "ayeshanoor1/exercise-missing-values", "kernel_id": "53184086"}, {"ref": "esmanr/comp-468-homework-1-esma-nur-ebe", "kernel_id": "53194746"}, {"ref": "upeshjeengar/exercise-missing-values", "kernel_id": "53064868"}, {"ref": "upeshjeengar/exercise-pipelines", "kernel_id": "53146493"}, {"ref": "upeshjeengar/exercise-xgboost", "kernel_id": "53148586"}, {"ref": "upeshjeengar/exercise-cross-validation", "kernel_id": "53147557"}, {"ref": "erdemyavuz55/comp-468-homework-1-erdem-yavuz-hac-softao-lu", "kernel_id": "53195085"}, {"ref": "hseyinesad/comp468-homework1-huseyinesad-oner", "kernel_id": "53192967"}, {"ref": "anthonyphuchung/exercise-your-first-machine-learning-model", "kernel_id": "53706695"}, {"ref": "anthonyphuchung/exercise-model-validation", "kernel_id": "53709775"}, {"ref": "anthonyphuchung/exercise-underfitting-and-overfitting", "kernel_id": "53710447"}, {"ref": "anthonyphuchung/exercise-random-forests", "kernel_id": "53711027"}, {"ref": "anthonyphuchung/exercise-machine-learning-competitions", "kernel_id": "53711915"}, {"ref": "iremsilayildirim/exercise-machine-learning-competitions", "kernel_id": "53194769"}, {"ref": "iremsilayildirim/exercise-model-validation", "kernel_id": "53622268"}, {"ref": "iremsilayildirim/exercise-your-first-machine-learning-model", "kernel_id": "53621659"}, {"ref": "iremsilayildirim/exercise-underfitting-and-overfitting", "kernel_id": "53622394"}, {"ref": "iremsilayildirim/exercise-random-forests", "kernel_id": "53622576"}, {"ref": "displayed33/2-intro-to-machine-learning-4", "kernel_id": "53587338"}, {"ref": "displayed33/2-intro-to-machine-learning-3", "kernel_id": "53441470"}, {"ref": "nagendra048/exercise-underfitting-and-overfitting", "kernel_id": "53801644"}, {"ref": "nagendra048/exercise-machine-learning-competitions", "kernel_id": "53802302"}, {"ref": "nagendra048/exercise-random-forests", "kernel_id": "53802145"}, {"ref": "nagendra048/exercise-model-validation", "kernel_id": "53801107"}, {"ref": "nagendra048/exercise-your-first-machine-learning-model", "kernel_id": "53800221"}, {"ref": "nagendra048/exercise-missing-values", "kernel_id": "53806538"}, {"ref": "nagendra048/exercise-introduction", "kernel_id": "53804536"}, {"ref": "nagendra048/exercise-data-leakage", "kernel_id": "53814345"}, {"ref": "viniruela/exercise-machine-learning-competitions", "kernel_id": "53703179"}, {"ref": "viniruela/exercise-random-forests", "kernel_id": "53702998"}, {"ref": "viniruela/exercise-model-validation", "kernel_id": "53701386"}, {"ref": "viniruela/exercise-your-first-machine-learning-model", "kernel_id": "53696524"}, {"ref": "thejaxen/comp-468-homework-1-mert-duyar-01", "kernel_id": "53196040"}, {"ref": "leonardoareias/exercise-machine-learning-competitions", "kernel_id": "53797041"}, {"ref": "mostafarifat/housing-prices-competition", "kernel_id": "53161554"}, {"ref": "ghulamhiader/exercise-your-first-machine-learning-model", "kernel_id": "53134567"}, {"ref": "ghulamhiader/exercise-underfitting-and-overfitting", "kernel_id": "53596625"}, {"ref": "ghulamhiader/exercise-machine-learning-competitions", "kernel_id": "53493324"}, {"ref": "ghulamhiader/exercise-random-forests", "kernel_id": "53466967"}, {"ref": "fathtalha/exercise-machine-learning-competitions", "kernel_id": "53194820"}, {"ref": "leonardofarran/exercise-model-validation", "kernel_id": "53099995"}, {"ref": "leonardofarran/exercise-underfitting-and-overfitting", "kernel_id": "53826500"}, {"ref": "soumyapriyagoswami/exercise-machine-learning-competitions", "kernel_id": "53012003"}, {"ref": "syedshayanhussain/exercise-your-first-machine-learning-model", "kernel_id": "53073418"}, {"ref": "syedshayanhussain/exercise-model-validation", "kernel_id": "53083834"}, {"ref": "syedshayanhussain/exercise-machine-learning-competitions", "kernel_id": "53100839"}, {"ref": "syedshayanhussain/exercise-random-forests", "kernel_id": "53100641"}, {"ref": "syedshayanhussain/exercise-underfitting-and-overfitting", "kernel_id": "53100024"}, {"ref": "stacey06/practice-submission-machine-learning-competitions", "kernel_id": "53091649"}, {"ref": "rukaiyakhatoon/exercise-machine-learning-competitions", "kernel_id": "53177069"}, {"ref": "ghadaalabdullah/exercise-machine-learning-competitions", "kernel_id": "53558987"}, {"ref": "hasanarii/exercise-introduction", "kernel_id": "53609723"}, {"ref": "hasanarii/comp-468-homework-1-hasan-ar", "kernel_id": "53194770"}, {"ref": "ahmeterenceylan/comp-468-homework-1-eren-ceylan", "kernel_id": "53577442"}, {"ref": "heissenberg06/comp-468-homework-1-your-huseyin-berk-emir", "kernel_id": "53194886"}, {"ref": "mustafaulucan/exercise-categorical-variables", "kernel_id": "53503246"}, {"ref": "mustafaulucan/comp-468-homework-1-mustafa-ulucan", "kernel_id": "53191093"}, {"ref": "mahnoornavaid/exercise-your-first-machine-learning-model", "kernel_id": "53505971"}, {"ref": "mahnoornavaid/exercise-machine-learning-competitions", "kernel_id": "53508625"}, {"ref": "mahnoornavaid/exercise-random-forests", "kernel_id": "53508491"}, {"ref": "mahnoornavaid/exercise-underfitting-and-overfitting", "kernel_id": "53508294"}, {"ref": "nirupamaag/housing-price-prediction-using-regression", "kernel_id": "53253290"}, {"ref": "bhaveshsandbhor/exercise-machine-learning-competitions", "kernel_id": "53029838"}, {"ref": "anthonyktchang/exercise-missing-values", "kernel_id": "53469663"}, {"ref": "anthonyktchang/imputer-encoder-used-for-housing-price", "kernel_id": "53501896"}, {"ref": "stevecoder101/exercise-xgboost", "kernel_id": "53840250"}, {"ref": "haticeyaln/comp-468-homework-1-hatice-yal-n", "kernel_id": "53359377"}, {"ref": "feritylmazee/comp-468-homework-1-ferit-yilmaz", "kernel_id": "53611169"}, {"ref": "aybukeyildiz/comp-468-homework-1-ayb-ke-y-ld-z", "kernel_id": "53264589"}, {"ref": "codewithdark/exercise-random-forests", "kernel_id": "53489279"}, {"ref": "codewithdark/exercise-underfitting-and-overfitting", "kernel_id": "53488581"}, {"ref": "codewithdark/exercise-your-first-machine-learning-model", "kernel_id": "53490623"}, {"ref": "codewithdark/exercise-model-validation", "kernel_id": "53490326"}, {"ref": "stevenchihlee/exercise-your-first-machine-learning-model", "kernel_id": "53592813"}, {"ref": "stevenchihlee/exercise-model-validation", "kernel_id": "53593318"}, {"ref": "stevenchihlee/exercise-underfitting-and-overfitting", "kernel_id": "53623311"}, {"ref": "stevenchihlee/exercise-machine-learning-competitions", "kernel_id": "53626191"}, {"ref": "stevenchihlee/exercise-random-forests", "kernel_id": "53626064"}, {"ref": "serolturkyilmaz/exercise-your-first-machine-learning-model", "kernel_id": "53491036"}, {"ref": "serolturkyilmaz/exercise-machine-learning-competitions", "kernel_id": "53683141"}, {"ref": "serolturkyilmaz/exercise-model-validation", "kernel_id": "53680437"}, {"ref": "serolturkyilmaz/exercise-underfitting-and-overfitting", "kernel_id": "53681306"}, {"ref": "serolturkyilmaz/exercise-random-forests", "kernel_id": "53682132"}, {"ref": "parkj29/exercise-underfitting-and-overfitting", "kernel_id": "53479948"}, {"ref": "parkj29/exercise-your-first-machine-learning-model", "kernel_id": "53482529"}, {"ref": "parkj29/exercise-model-validation", "kernel_id": "53534887"}, {"ref": "parkj29/exercise-random-forests", "kernel_id": "53536261"}, {"ref": "parkj29/exercise-machine-learning-competitions", "kernel_id": "53536427"}, {"ref": "jwpmp24/exercise-your-first-machine-learning-model", "kernel_id": "53472066"}, {"ref": "jwpmp24/exercise-model-validation", "kernel_id": "53472723"}, {"ref": "jwpmp24/exercise-underfitting-and-overfitting", "kernel_id": "53521134"}, {"ref": "jwpmp24/exercise-random-forests", "kernel_id": "53572115"}, {"ref": "jwpmp24/exercise-machine-learning-competitions", "kernel_id": "53572207"}, {"ref": "mallikarjunareddyk/exercise-your-first-machine-learning-model", "kernel_id": "53721813"}, {"ref": "mallikarjunareddyk/exercise-model-validation", "kernel_id": "53727080"}, {"ref": "danielfroistad/exercise-random-forests", "kernel_id": "53705459"}, {"ref": "danielfroistad/exercise-machine-learning-competitions", "kernel_id": "53705816"}, {"ref": "danielfroistad/exercise-model-validation", "kernel_id": "53693549"}, {"ref": "danielfroistad/exercise-underfitting-and-overfitting", "kernel_id": "53694962"}, {"ref": "danielfroistad/exercise-your-first-machine-learning-model", "kernel_id": "53679904"}, {"ref": "liluwan/exercise-random-forests", "kernel_id": "53765267"}, {"ref": "liluwan/exercise-underfitting-and-overfitting", "kernel_id": "53764861"}, {"ref": "liluwan/exercise-machine-learning-competitions", "kernel_id": "53765349"}, {"ref": "liluwan/exercise-model-validation", "kernel_id": "53764065"}, {"ref": "liluwan/exercise-your-first-machine-learning-model", "kernel_id": "53762077"}, {"ref": "thientranuw/exercise-cross-validation", "kernel_id": "53762079"}, {"ref": "thientranuw/exercise-xgboost", "kernel_id": "53762084"}, {"ref": "thientranuw/exercise-data-leakage", "kernel_id": "53762101"}, {"ref": "thientranuw/exercise-introduction", "kernel_id": "53762056"}, {"ref": "thientranuw/exercise-missing-values", "kernel_id": "53762065"}, {"ref": "thientranuw/exercise-categorical-variables", "kernel_id": "53762071"}, {"ref": "thientranuw/exercise-random-forests", "kernel_id": "53678318"}, {"ref": "thientranuw/exercise-machine-learning-competitions", "kernel_id": "53678391"}, {"ref": "thientranuw/exercise-underfitting-and-overfitting", "kernel_id": "53678161"}, {"ref": "thientranuw/exercise-your-first-machine-learning-model", "kernel_id": "53676427"}, {"ref": "thientranuw/exercise-model-validation", "kernel_id": "53676815"}, {"ref": "christinama88/exercise-your-first-machine-learning-model", "kernel_id": "53626601"}, {"ref": "christinama88/exercise-model-validation", "kernel_id": "53627287"}, {"ref": "christinama88/exercise-random-forests", "kernel_id": "53629831"}, {"ref": "christinama88/exercise-underfitting-and-overfitting", "kernel_id": "53629442"}, {"ref": "christinama88/exercise-machine-learning-competitions", "kernel_id": "53630021"}, {"ref": "anthonynewman100/exercise-machine-learning-competitions", "kernel_id": "53629517"}, {"ref": "anthonynewman100/exercise-random-forests", "kernel_id": "53629421"}, {"ref": "anthonynewman100/exercise-underfitting-and-overfitting", "kernel_id": "53629147"}, {"ref": "anthonynewman100/exercise-model-validation", "kernel_id": "53628733"}, {"ref": "anthonynewman100/exercise-your-first-machine-learning-model", "kernel_id": "53628254"}, {"ref": "dmitrimurphy/exercise-your-first-machine-learning-model", "kernel_id": "53754015"}, {"ref": "dmitrimurphy/exercise-model-validation", "kernel_id": "53767462"}, {"ref": "dmitrimurphy/exercise-underfitting-and-overfitting", "kernel_id": "53770455"}, {"ref": "dmitrimurphy/exercise-random-forests", "kernel_id": "53772024"}, {"ref": "dmitrimurphy/exercise-machine-learning-competitions", "kernel_id": "53772673"}, {"ref": "jamesodonoghue224/exercise-underfitting-and-overfitting", "kernel_id": "53631416"}, {"ref": "jamesodonoghue224/exercise-random-forests", "kernel_id": "53631817"}, {"ref": "jamesodonoghue224/exercise-your-first-machine-learning-model", "kernel_id": "53597625"}, {"ref": "jamesodonoghue224/exercise-model-validation", "kernel_id": "53601065"}, {"ref": "takwon/exercise-random-forests", "kernel_id": "53694432"}, {"ref": "takwon/exercise-machine-learning-competitions", "kernel_id": "53694635"}, {"ref": "takwon/exercise-underfitting-and-overfitting", "kernel_id": "53693847"}, {"ref": "takwon/exercise-model-validation", "kernel_id": "53693364"}, {"ref": "takwon/exercise-your-first-machine-learning-model", "kernel_id": "53692838"}, {"ref": "phitrine/exercise-machine-learning-competitions", "kernel_id": "53632208"}, {"ref": "phitrine/exercise-random-forests", "kernel_id": "53632020"}, {"ref": "phitrine/exercise-underfitting-and-overfitting", "kernel_id": "53631778"}, {"ref": "phitrine/exercise-model-validation", "kernel_id": "53631403"}, {"ref": "phitrine/exercise-your-first-machine-learning-model", "kernel_id": "53631044"}, {"ref": "engobada/exercise-your-first-machine-learning-model", "kernel_id": "53684828"}, {"ref": "engobada/exercise-machine-learning-competitions", "kernel_id": "53687011"}, {"ref": "engobada/exercise-random-forests", "kernel_id": "53686713"}, {"ref": "engobada/exercise-model-validation", "kernel_id": "53685606"}, {"ref": "engobada/exercise-underfitting-and-overfitting", "kernel_id": "53686178"}, {"ref": "alkalinegarrett/exercise-your-first-machine-learning-model", "kernel_id": "53636000"}, {"ref": "alkalinegarrett/exercise-random-forests", "kernel_id": "53638076"}, {"ref": "alkalinegarrett/exercise-machine-learning-competitions", "kernel_id": "53638168"}, {"ref": "alkalinegarrett/exercise-underfitting-and-overfitting", "kernel_id": "53637644"}, {"ref": "alkalinegarrett/exercise-model-validation", "kernel_id": "53636967"}, {"ref": "kimia444/exercise-your-first-machine-learning-model", "kernel_id": "53636505"}, {"ref": "kimia444/exercise-model-validation", "kernel_id": "53638698"}, {"ref": "kimia444/exercise-underfitting-and-overfitting", "kernel_id": "53639258"}, {"ref": "kimia444/exercise-machine-learning-competitions", "kernel_id": "53640095"}, {"ref": "kimia444/exercise-random-forests", "kernel_id": "53639867"}, {"ref": "theodoray/exercise-your-first-machine-learning-model", "kernel_id": "53648129"}, {"ref": "theodoray/exercise-model-validation", "kernel_id": "53672304"}, {"ref": "theodoray/exercise-random-forests", "kernel_id": "53674427"}, {"ref": "theodoray/exercise-machine-learning-competitions", "kernel_id": "53674543"}, {"ref": "theodoray/exercise-underfitting-and-overfitting", "kernel_id": "53674123"}, {"ref": "evangeary/exercise-model-validation", "kernel_id": "53681813"}, {"ref": "evangeary/exercise-your-first-machine-learning-model", "kernel_id": "53680851"}, {"ref": "evangeary/exercise-machine-learning-competitions", "kernel_id": "53683119"}, {"ref": "evangeary/exercise-random-forests", "kernel_id": "53682817"}, {"ref": "evangeary/exercise-underfitting-and-overfitting", "kernel_id": "53682496"}, {"ref": "sachinmakaram/exercise-your-first-machine-learning-model", "kernel_id": "53682846"}, {"ref": "sachinmakaram/exercise-model-validation", "kernel_id": "53688592"}, {"ref": "sachinmakaram/exercise-machine-learning-competitions", "kernel_id": "53692396"}, {"ref": "sachinmakaram/exercise-random-forests", "kernel_id": "53692086"}, {"ref": "sachinmakaram/exercise-underfitting-and-overfitting", "kernel_id": "53690604"}, {"ref": "paulcurry/exercise-machine-learning-competitions", "kernel_id": "53706815"}, {"ref": "paulcurry/exercise-underfitting-and-overfitting", "kernel_id": "53706279"}, {"ref": "paulcurry/exercise-random-forests", "kernel_id": "53706611"}, {"ref": "paulcurry/exercise-model-validation", "kernel_id": "53705947"}, {"ref": "paulcurry/exercise-your-first-machine-learning-model", "kernel_id": "53705248"}, {"ref": "chrystianbueno/exercise-your-first-machine-learning-model", "kernel_id": "53707306"}, {"ref": "chrystianbueno/exercise-model-validation", "kernel_id": "53708477"}, {"ref": "chrystianbueno/exercise-underfitting-and-overfitting", "kernel_id": "53709320"}, {"ref": "chrystianbueno/exercise-random-forests", "kernel_id": "53709875"}, {"ref": "chrystianbueno/exercise-machine-learning-competitions", "kernel_id": "53710301"}, {"ref": "johnmastersonuw/exercise-underfitting-and-overfitting", "kernel_id": "53765297"}, {"ref": "johnmastersonuw/exercise-your-first-machine-learning-model", "kernel_id": "53758714"}, {"ref": "johnmastersonuw/exercise-model-validation", "kernel_id": "53759039"}, {"ref": "johnmastersonuw/exercise-random-forests", "kernel_id": "53777310"}, {"ref": "johnmastersonuw/exercise-machine-learning-competitions", "kernel_id": "53777400"}, {"ref": "mikeyrutherford/exercise-underfitting-and-overfitting", "kernel_id": "53765029"}, {"ref": "mikeyrutherford/exercise-model-validation", "kernel_id": "53764278"}, {"ref": "mikeyrutherford/exercise-random-forests", "kernel_id": "53766221"}, {"ref": "mikeyrutherford/exercise-your-first-machine-learning-model", "kernel_id": "53763368"}, {"ref": "mikeyrutherford/exercise-machine-learning-competitions", "kernel_id": "53766406"}, {"ref": "korynelson/exercise-your-first-machine-learning-model", "kernel_id": "53773892"}, {"ref": "korynelson/exercise-underfitting-and-overfitting", "kernel_id": "53775387"}, {"ref": "korynelson/exercise-model-validation", "kernel_id": "53774727"}, {"ref": "korynelson/exercise-machine-learning-competitions", "kernel_id": "53776058"}, {"ref": "korynelson/exercise-random-forests", "kernel_id": "53775741"}, {"ref": "mackevinfey/exercise-model-validation", "kernel_id": "53774590"}, {"ref": "mackevinfey/exercise-your-first-machine-learning-model", "kernel_id": "53773033"}, {"ref": "mackevinfey/exercise-random-forests", "kernel_id": "53780515"}, {"ref": "mackevinfey/exercise-underfitting-and-overfitting", "kernel_id": "53780038"}, {"ref": "mackevinfey/exercise-machine-learning-competitions", "kernel_id": "53780681"}, {"ref": "dchidume/exercise-your-first-machine-learning-model", "kernel_id": "53772004"}, {"ref": "dchidume/exercise-random-forests", "kernel_id": "53779670"}, {"ref": "dchidume/exercise-underfitting-and-overfitting", "kernel_id": "53778615"}, {"ref": "kendragraham/exercise-your-first-machine-learning-model", "kernel_id": "53776818"}, {"ref": "kendragraham/exercise-model-validation", "kernel_id": "53776850"}, {"ref": "kendragraham/exercise-random-forests", "kernel_id": "53776940"}, {"ref": "kendragraham/exercise-machine-learning-competitions", "kernel_id": "53776972"}, {"ref": "kendragraham/exercise-underfitting-and-overfitting", "kernel_id": "53776917"}, {"ref": "chenra1/exercise-underfitting-and-overfitting", "kernel_id": "53786593"}, {"ref": "chenra1/exercise-model-validation", "kernel_id": "53786514"}, {"ref": "chenra1/exercise-random-forests", "kernel_id": "53786670"}, {"ref": "chenra1/exercise-machine-learning-competitions", "kernel_id": "53786722"}, {"ref": "chenra1/exercise-your-first-machine-learning-model", "kernel_id": "53786410"}, {"ref": "enlighter/exercise-xgboost", "kernel_id": "54657424"}, {"ref": "enlighter/exercise-data-leakage", "kernel_id": "54658357"}, {"ref": "enlighter/exercise-cross-validation", "kernel_id": "54656898"}, {"ref": "enlighter/exercise-pipelines", "kernel_id": "54653043"}, {"ref": "enlighter/exercise-categorical-variables", "kernel_id": "54651830"}, {"ref": "enlighter/exercise-missing-values", "kernel_id": "54650481"}, {"ref": "enlighter/exercise-introduction", "kernel_id": "54649847"}, {"ref": "thielyrics/exercise-introduction", "kernel_id": "54766047"}, {"ref": "thielyrics/exercise-missing-values", "kernel_id": "54766248"}, {"ref": "thielyrics/exercise-categorical-variables", "kernel_id": "54766299"}, {"ref": "thielyrics/exercise-pipelines", "kernel_id": "54766316"}, {"ref": "thielyrics/exercise-cross-validation", "kernel_id": "54766341"}, {"ref": "thielyrics/exercise-xgboost", "kernel_id": "54766361"}, {"ref": "thielyrics/exercise-data-leakage", "kernel_id": "54766387"}, {"ref": "thejameskim/exercise-categorical-variables", "kernel_id": "54593069"}, {"ref": "thejameskim/exercise-pipelines", "kernel_id": "54593621"}, {"ref": "thejameskim/exercise-cross-validation", "kernel_id": "54593891"}, {"ref": "thejameskim/exercise-xgboost", "kernel_id": "54594257"}, {"ref": "thejameskim/exercise-data-leakage", "kernel_id": "54595687"}, {"ref": "thejameskim/exercise-missing-values", "kernel_id": "54579870"}, {"ref": "thejameskim/exercise-introduction", "kernel_id": "54250042"}, {"ref": "derrickli5315/exercise-cross-validation", "kernel_id": "54776324"}, {"ref": "derrickli5315/exercise-categorical-variables", "kernel_id": "54775204"}, {"ref": "derrickli5315/exercise-pipelines", "kernel_id": "54776200"}, {"ref": "derrickli5315/exercise-xgboost", "kernel_id": "54776445"}, {"ref": "derrickli5315/exercise-data-leakage", "kernel_id": "54776462"}, {"ref": "derrickli5315/exercise-missing-values", "kernel_id": "54772361"}, {"ref": "derrickli5315/exercise-introduction", "kernel_id": "54771429"}, {"ref": "jdlongley/exercise-xgboost", "kernel_id": "54597596"}, {"ref": "jdlongley/exercise-data-leakage", "kernel_id": "54597777"}, {"ref": "jdlongley/exercise-pipelines", "kernel_id": "54597168"}, {"ref": "jdlongley/exercise-cross-validation", "kernel_id": "54597259"}, {"ref": "jdlongley/exercise-introduction", "kernel_id": "54596254"}, {"ref": "jdlongley/exercise-missing-values", "kernel_id": "54596439"}, {"ref": "jdlongley/exercise-categorical-variables", "kernel_id": "54596817"}, {"ref": "vemendez/exercise-xgboost", "kernel_id": "54827169"}, {"ref": "haroon669/exercise-machine-learning-competitions", "kernel_id": "54162783"}, {"ref": "poludniowyalbanczyk/exercise-pipelines", "kernel_id": "54242851"}, {"ref": "anhhkiu/exercise-your-first-machine-learning-model", "kernel_id": "54172279"}, {"ref": "anhhkiu/exercise-machine-learning-competitions", "kernel_id": "54201318"}, {"ref": "anhhkiu/exercise-categorical-variables", "kernel_id": "54272337"}, {"ref": "anhhkiu/exercise-missing-values", "kernel_id": "54271201"}, {"ref": "anhhkiu/exercise-pipelines", "kernel_id": "54402819"}, {"ref": "anhhkiu/exercise-cross-validation", "kernel_id": "54406003"}, {"ref": "anhhkiu/exercise-xgboost", "kernel_id": "54475689"}, {"ref": "hakieuanh/exercise-data-leakage", "kernel_id": "54636399"}, {"ref": "daleberg/exercise-data-leakage", "kernel_id": "54771517"}, {"ref": "daleberg/exercise-categorical-variables", "kernel_id": "54767841"}, {"ref": "daleberg/exercise-pipelines", "kernel_id": "54768406"}, {"ref": "daleberg/exercise-xgboost", "kernel_id": "54771153"}, {"ref": "daleberg/exercise-missing-values", "kernel_id": "54750307"}, {"ref": "martinapletcher/exercise-categorical-variables", "kernel_id": "54644589"}, {"ref": "martinapletcher/exercise-missing-values", "kernel_id": "54640686"}, {"ref": "martinapletcher/exercise-introduction", "kernel_id": "54634197"}, {"ref": "martinapletcher/exercise-cross-validation", "kernel_id": "54697745"}, {"ref": "martinapletcher/exercise-pipelines", "kernel_id": "54683161"}, {"ref": "martinapletcher/exercise-xgboost", "kernel_id": "54699119"}, {"ref": "martinapletcher/exercise-data-leakage", "kernel_id": "54700110"}, {"ref": "mmaryyang/exercise-xgboost", "kernel_id": "54606804"}, {"ref": "mmaryyang/exercise-data-leakage", "kernel_id": "54607274"}, {"ref": "mmaryyang/exercise-cross-validation", "kernel_id": "54605442"}, {"ref": "mmaryyang/exercise-introduction", "kernel_id": "54542248"}, {"ref": "mmaryyang/exercise-missing-values", "kernel_id": "54542719"}, {"ref": "mmaryyang/exercise-categorical-variables", "kernel_id": "54544379"}, {"ref": "mmaryyang/exercise-pipelines", "kernel_id": "54546653"}, {"ref": "paulvillagra/exercise-introduction", "kernel_id": "54241996"}, {"ref": "manashreepatel28/manashree-housing-prediction", "kernel_id": "54575937"}, {"ref": "yashjhotajain/exercise-machine-learning-competitions", "kernel_id": "54970328"}, {"ref": "eugeneweiss/exercise-introduction", "kernel_id": "54690086"}, {"ref": "eugeneweiss/exercise-missing-values", "kernel_id": "54692870"}, {"ref": "eugeneweiss/exercise-categorical-variables", "kernel_id": "54706670"}, {"ref": "eugeneweiss/exercise-xgboost", "kernel_id": "54771107"}, {"ref": "eugeneweiss/exercise-cross-validation", "kernel_id": "54769676"}, {"ref": "eugeneweiss/exercise-pipelines", "kernel_id": "54769085"}, {"ref": "eugeneweiss/exercise-data-leakage", "kernel_id": "54771737"}, {"ref": "ivanlydkin/feature-engineering-course-dependency-analysis", "kernel_id": "54394737"}, {"ref": "erdemyavuz55/exercise-categorical-variables", "kernel_id": "54071227"}, {"ref": "erdemyavuz55/exercise-pipelines", "kernel_id": "54071250"}, {"ref": "commentsm/exercise-missing-values", "kernel_id": "54013021"}, {"ref": "commentsm/exercise-categorical-variables", "kernel_id": "54090900"}, {"ref": "commentsm/exercise-pipelines", "kernel_id": "54095730"}, {"ref": "commentsm/exercise-cross-validation", "kernel_id": "54096882"}, {"ref": "commentsm/exercise-xgboost", "kernel_id": "54146716"}, {"ref": "commentsm/exercise-data-leakage", "kernel_id": "54150458"}, {"ref": "anthonyphuchung/exercise-data-leakage", "kernel_id": "54718327"}, {"ref": "anthonyphuchung/exercise-missing-values", "kernel_id": "54715696"}, {"ref": "anthonyphuchung/exercise-introduction", "kernel_id": "54714581"}, {"ref": "anthonyphuchung/exercise-categorical-variables", "kernel_id": "54716729"}, {"ref": "anthonyphuchung/exercise-pipelines", "kernel_id": "54717351"}, {"ref": "anthonyphuchung/exercise-cross-validation", "kernel_id": "54717803"}, {"ref": "anthonyphuchung/exercise-xgboost", "kernel_id": "54718072"}, {"ref": "iremsilayildirim/exercise-pipelines", "kernel_id": "54073723"}, {"ref": "iremsilayildirim/exercise-categorical-variables", "kernel_id": "54072964"}, {"ref": "displayed33/2-intro-to-machine-learning-5", "kernel_id": "54857981"}, {"ref": "viniruela/exercise-introduction", "kernel_id": "54770467"}, {"ref": "viniruela/exercise-missing-values", "kernel_id": "54771237"}, {"ref": "viniruela/exercise-pipelines", "kernel_id": "54773731"}, {"ref": "viniruela/exercise-cross-validation", "kernel_id": "54773888"}, {"ref": "viniruela/exercise-categorical-variables", "kernel_id": "54772967"}, {"ref": "viniruela/exercise-xgboost", "kernel_id": "54774545"}, {"ref": "viniruela/exercise-data-leakage", "kernel_id": "54774723"}, {"ref": "fathtalha/exercise-pipelines", "kernel_id": "54074312"}, {"ref": "botaylaamin/housing-prices-compition", "kernel_id": "54128305"}, {"ref": "lucaschin1/exercise-your-first-machine-learning-model", "kernel_id": "54398605"}, {"ref": "fuhonghao2354/exercise-categorical-variables", "kernel_id": "54242674"}, {"ref": "anujithk37/exercise-missing-values", "kernel_id": "54580362"}, {"ref": "anujithk37/exercise-pipelines", "kernel_id": "54709756"}, {"ref": "anujithk37/exercise-xgboost", "kernel_id": "54712043"}, {"ref": "anujithk37/exercise-cross-validation", "kernel_id": "54711762"}, {"ref": "anujithk37/exercise-data-leakage", "kernel_id": "54712433"}, {"ref": "muratkocc0/exercise-categorical-variables", "kernel_id": "54077100"}, {"ref": "hasanarii/exercise-pipelines", "kernel_id": "54074512"}, {"ref": "hasanarii/exercise-xgboost", "kernel_id": "54075112"}, {"ref": "hasanarii/exercise-cross-validation", "kernel_id": "54074794"}, {"ref": "syedhassnainabbas/exercise-machine-learning-competitions", "kernel_id": "54594003"}, {"ref": "mustafaulucan/exercise-pipelines", "kernel_id": "54061561"}, {"ref": "sarah1321/exercise-your-first-machine-learning-model", "kernel_id": "54719988"}, {"ref": "sarah1321/exercise-machine-learning-competitions", "kernel_id": "54720021"}, {"ref": "stevenchihlee/exercise-xgboost", "kernel_id": "54759729"}, {"ref": "stevenchihlee/exercise-pipelines", "kernel_id": "54757156"}, {"ref": "stevenchihlee/exercise-cross-validation", "kernel_id": "54758568"}, {"ref": "stevenchihlee/exercise-data-leakage", "kernel_id": "54766149"}, {"ref": "stevenchihlee/exercise-categorical-variables", "kernel_id": "54719527"}, {"ref": "stevenchihlee/exercise-missing-values", "kernel_id": "54698240"}, {"ref": "stevenchihlee/exercise-introduction", "kernel_id": "54651378"}, {"ref": "serolturkyilmaz/exercise-introduction", "kernel_id": "54593534"}, {"ref": "serolturkyilmaz/exercise-missing-values", "kernel_id": "54593961"}, {"ref": "serolturkyilmaz/exercise-cross-validation", "kernel_id": "54594890"}, {"ref": "serolturkyilmaz/exercise-pipelines", "kernel_id": "54594774"}, {"ref": "serolturkyilmaz/exercise-categorical-variables", "kernel_id": "54594438"}, {"ref": "serolturkyilmaz/exercise-xgboost", "kernel_id": "54595909"}, {"ref": "serolturkyilmaz/exercise-data-leakage", "kernel_id": "54596128"}, {"ref": "parkj29/exercise-missing-values", "kernel_id": "54602582"}, {"ref": "parkj29/exercise-introduction", "kernel_id": "54602239"}, {"ref": "parkj29/exercise-data-leakage", "kernel_id": "54645352"}, {"ref": "parkj29/exercise-xgboost", "kernel_id": "54641172"}, {"ref": "parkj29/exercise-cross-validation", "kernel_id": "54640115"}, {"ref": "parkj29/exercise-pipelines", "kernel_id": "54639500"}, {"ref": "parkj29/exercise-categorical-variables", "kernel_id": "54637709"}, {"ref": "jwpmp24/exercise-introduction", "kernel_id": "54586462"}, {"ref": "jwpmp24/exercise-missing-values", "kernel_id": "54586850"}, {"ref": "jwpmp24/exercise-xgboost", "kernel_id": "54687329"}, {"ref": "jwpmp24/exercise-data-leakage", "kernel_id": "54687839"}, {"ref": "jwpmp24/exercise-cross-validation", "kernel_id": "54592411"}, {"ref": "jwpmp24/exercise-pipelines", "kernel_id": "54589571"}, {"ref": "jwpmp24/exercise-categorical-variables", "kernel_id": "54588649"}, {"ref": "danielfroistad/exercise-missing-values", "kernel_id": "54710750"}, {"ref": "danielfroistad/exercise-introduction", "kernel_id": "54709332"}, {"ref": "danielfroistad/exercise-data-leakage", "kernel_id": "54760018"}, {"ref": "danielfroistad/exercise-xgboost", "kernel_id": "54759301"}, {"ref": "danielfroistad/exercise-cross-validation", "kernel_id": "54752127"}, {"ref": "danielfroistad/exercise-categorical-variables", "kernel_id": "54738013"}, {"ref": "danielfroistad/exercise-pipelines", "kernel_id": "54740429"}, {"ref": "liluwan/exercise-missing-values", "kernel_id": "54767931"}, {"ref": "liluwan/exercise-introduction", "kernel_id": "54767507"}, {"ref": "liluwan/exercise-pipelines", "kernel_id": "54770610"}, {"ref": "liluwan/exercise-cross-validation", "kernel_id": "54771085"}, {"ref": "liluwan/exercise-categorical-variables", "kernel_id": "54769696"}, {"ref": "liluwan/exercise-data-leakage", "kernel_id": "54774497"}, {"ref": "liluwan/exercise-xgboost", "kernel_id": "54771738"}, {"ref": "thientranuw/exercise-pipelines", "kernel_id": "54300788"}, {"ref": "christinama88/exercise-cross-validation", "kernel_id": "54705127"}, {"ref": "christinama88/exercise-missing-values", "kernel_id": "54686860"}, {"ref": "christinama88/exercise-introduction", "kernel_id": "54685942"}, {"ref": "christinama88/exercise-categorical-variables", "kernel_id": "54691144"}, {"ref": "christinama88/exercise-pipelines", "kernel_id": "54693982"}, {"ref": "christinama88/exercise-data-leakage", "kernel_id": "54764279"}, {"ref": "christinama88/exercise-xgboost", "kernel_id": "54762952"}, {"ref": "anthonynewman100/exercise-data-leakage", "kernel_id": "54760662"}, {"ref": "anthonynewman100/exercise-xgboost", "kernel_id": "54758424"}, {"ref": "anthonynewman100/exercise-cross-validation", "kernel_id": "54757685"}, {"ref": "anthonynewman100/exercise-pipelines", "kernel_id": "54756809"}, {"ref": "anthonynewman100/exercise-categorical-variables", "kernel_id": "54752832"}, {"ref": "anthonynewman100/exercise-introduction", "kernel_id": "54749139"}, {"ref": "anthonynewman100/exercise-missing-values", "kernel_id": "54750850"}, {"ref": "dmitrimurphy/exercise-introduction", "kernel_id": "54761630"}, {"ref": "dmitrimurphy/exercise-cross-validation", "kernel_id": "54768489"}, {"ref": "dmitrimurphy/exercise-xgboost", "kernel_id": "54769498"}, {"ref": "dmitrimurphy/exercise-data-leakage", "kernel_id": "54770286"}, {"ref": "dmitrimurphy/exercise-missing-values", "kernel_id": "54763546"}, {"ref": "dmitrimurphy/exercise-categorical-variables", "kernel_id": "54765826"}, {"ref": "dmitrimurphy/exercise-pipelines", "kernel_id": "54767587"}, {"ref": "jamesodonoghue224/exercise-introduction", "kernel_id": "54524135"}, {"ref": "jamesodonoghue224/exercise-missing-values", "kernel_id": "54524580"}, {"ref": "jamesodonoghue224/exercise-pipelines", "kernel_id": "54607466"}, {"ref": "jamesodonoghue224/exercise-categorical-variables", "kernel_id": "54603825"}, {"ref": "jamesodonoghue224/exercise-xgboost", "kernel_id": "54610558"}, {"ref": "jamesodonoghue224/exercise-data-leakage", "kernel_id": "54611408"}, {"ref": "jamesodonoghue224/exercise-cross-validation", "kernel_id": "54609383"}, {"ref": "takwon/exercise-introduction", "kernel_id": "54706924"}, {"ref": "takwon/exercise-missing-values", "kernel_id": "54707312"}, {"ref": "takwon/exercise-data-leakage", "kernel_id": "54761411"}, {"ref": "takwon/exercise-xgboost", "kernel_id": "54760917"}, {"ref": "takwon/exercise-categorical-variables", "kernel_id": "54759020"}, {"ref": "takwon/exercise-pipelines", "kernel_id": "54759947"}, {"ref": "takwon/exercise-cross-validation", "kernel_id": "54760295"}, {"ref": "phitrine/exercise-data-leakage", "kernel_id": "54696214"}, {"ref": "phitrine/exercise-xgboost", "kernel_id": "54657236"}, {"ref": "phitrine/exercise-cross-validation", "kernel_id": "54656060"}, {"ref": "phitrine/exercise-pipelines", "kernel_id": "54654838"}, {"ref": "phitrine/exercise-categorical-variables", "kernel_id": "54653884"}, {"ref": "phitrine/exercise-introduction", "kernel_id": "54651673"}, {"ref": "phitrine/exercise-missing-values", "kernel_id": "54652187"}, {"ref": "engobada/exercise-data-leakage", "kernel_id": "54635242"}, {"ref": "engobada/exercise-xgboost", "kernel_id": "54634666"}, {"ref": "engobada/exercise-cross-validation", "kernel_id": "54634028"}, {"ref": "engobada/exercise-pipelines", "kernel_id": "54633857"}, {"ref": "engobada/exercise-missing-values", "kernel_id": "54630931"}, {"ref": "engobada/exercise-categorical-variables", "kernel_id": "54631934"}, {"ref": "engobada/exercise-introduction", "kernel_id": "54630518"}, {"ref": "alkalinegarrett/exercise-introduction", "kernel_id": "54634789"}, {"ref": "alkalinegarrett/exercise-xgboost", "kernel_id": "54652142"}, {"ref": "alkalinegarrett/exercise-cross-validation", "kernel_id": "54648406"}, {"ref": "alkalinegarrett/exercise-categorical-variables", "kernel_id": "54645957"}, {"ref": "alkalinegarrett/exercise-pipelines", "kernel_id": "54646644"}, {"ref": "alkalinegarrett/exercise-missing-values", "kernel_id": "54642138"}, {"ref": "alkalinegarrett/exercise-data-leakage", "kernel_id": "54653904"}, {"ref": "kimia444/exercise-categorical-variables", "kernel_id": "54656548"}, {"ref": "kimia444/exercise-missing-values", "kernel_id": "54655071"}, {"ref": "kimia444/exercise-pipelines", "kernel_id": "54657825"}, {"ref": "kimia444/exercise-introduction", "kernel_id": "54645256"}, {"ref": "kimia444/exercise-cross-validation", "kernel_id": "54703770"}, {"ref": "kimia444/exercise-xgboost", "kernel_id": "54763068"}, {"ref": "kimia444/exercise-data-leakage", "kernel_id": "54763070"}, {"ref": "theodoray/exercise-introduction", "kernel_id": "54769945"}, {"ref": "theodoray/exercise-pipelines", "kernel_id": "54782087"}, {"ref": "theodoray/exercise-missing-values", "kernel_id": "54771435"}, {"ref": "theodoray/exercise-categorical-variables", "kernel_id": "54777886"}, {"ref": "theodoray/exercise-cross-validation", "kernel_id": "54838943"}, {"ref": "theodoray/exercise-xgboost", "kernel_id": "54842334"}, {"ref": "theodoray/exercise-data-leakage", "kernel_id": "54843916"}, {"ref": "evangeary/exercise-data-leakage", "kernel_id": "54767674"}, {"ref": "evangeary/exercise-xgboost", "kernel_id": "54767214"}, {"ref": "evangeary/exercise-cross-validation", "kernel_id": "54766231"}, {"ref": "evangeary/exercise-pipelines", "kernel_id": "54765985"}, {"ref": "evangeary/exercise-categorical-variables", "kernel_id": "54765199"}, {"ref": "evangeary/exercise-missing-values", "kernel_id": "54763665"}, {"ref": "evangeary/notebook8c0800a4f1", "kernel_id": "54760469"}, {"ref": "sachinmakaram/exercise-missing-values", "kernel_id": "54598076"}, {"ref": "sachinmakaram/exercise-introduction", "kernel_id": "54597243"}, {"ref": "sachinmakaram/exercise-data-leakage", "kernel_id": "54703572"}, {"ref": "sachinmakaram/exercise-xgboost", "kernel_id": "54703316"}, {"ref": "sachinmakaram/exercise-cross-validation", "kernel_id": "54699469"}, {"ref": "sachinmakaram/exercise-categorical-variables", "kernel_id": "54698433"}, {"ref": "sachinmakaram/exercise-pipelines", "kernel_id": "54699063"}, {"ref": "paulcurry/exercise-introduction", "kernel_id": "54757286"}, {"ref": "paulcurry/exercise-missing-values", "kernel_id": "54770386"}, {"ref": "paulcurry/exercise-cross-validation", "kernel_id": "54774895"}, {"ref": "paulcurry/exercise-pipelines", "kernel_id": "54774749"}, {"ref": "paulcurry/exercise-data-leakage", "kernel_id": "54775769"}, {"ref": "paulcurry/exercise-xgboost", "kernel_id": "54775319"}, {"ref": "paulcurry/exercise-categorical-variables", "kernel_id": "54773519"}, {"ref": "chrystianbueno/exercise-data-leakage", "kernel_id": "54773057"}, {"ref": "chrystianbueno/exercise-pipelines", "kernel_id": "54771416"}, {"ref": "chrystianbueno/exercise-xgboost", "kernel_id": "54772404"}, {"ref": "chrystianbueno/exercise-cross-validation", "kernel_id": "54771823"}, {"ref": "chrystianbueno/exercise-categorical-variables", "kernel_id": "54770125"}, {"ref": "chrystianbueno/exercise-missing-values", "kernel_id": "54768944"}, {"ref": "chrystianbueno/exercise-introduction", "kernel_id": "54768554"}, {"ref": "hasibur013/exercise-introduction", "kernel_id": "54368106"}, {"ref": "hasibur013/exercise-underfitting-and-overfitting", "kernel_id": "54538306"}, {"ref": "hasibur013/exercise-random-forests", "kernel_id": "54539296"}, {"ref": "hasibur013/exercise-machine-learning-competitions", "kernel_id": "54539663"}, {"ref": "hasibur013/exercise-model-validation", "kernel_id": "54532769"}, {"ref": "hasibur013/exercise-your-first-machine-learning-model", "kernel_id": "54506767"}, {"ref": "johnmastersonuw/exercise-introduction", "kernel_id": "54763718"}, {"ref": "johnmastersonuw/exercise-missing-values", "kernel_id": "54764171"}, {"ref": "johnmastersonuw/exercise-categorical-variables", "kernel_id": "54764968"}, {"ref": "johnmastersonuw/exercise-pipelines", "kernel_id": "54765686"}, {"ref": "johnmastersonuw/exercise-cross-validation", "kernel_id": "54766426"}, {"ref": "johnmastersonuw/exercise-xgboost", "kernel_id": "54773358"}, {"ref": "johnmastersonuw/exercise-data-leakage", "kernel_id": "54773744"}, {"ref": "mikeyrutherford/exercise-cross-validation", "kernel_id": "54771901"}, {"ref": "mikeyrutherford/exercise-xgboost", "kernel_id": "54772012"}, {"ref": "mikeyrutherford/exercise-data-leakage", "kernel_id": "54772023"}, {"ref": "mikeyrutherford/exercise-pipelines", "kernel_id": "54771395"}, {"ref": "mikeyrutherford/exercise-introduction", "kernel_id": "54768215"}, {"ref": "mikeyrutherford/exercise-missing-values", "kernel_id": "54768484"}, {"ref": "mikeyrutherford/exercise-categorical-variables", "kernel_id": "54769890"}, {"ref": "korynelson/exercise-introduction", "kernel_id": "54565631"}, {"ref": "mackevinfey/exercise-introduction", "kernel_id": "54708846"}, {"ref": "mackevinfey/exercise-categorical-variables", "kernel_id": "54774116"}, {"ref": "mackevinfey/exercise-missing-values", "kernel_id": "54772678"}, {"ref": "mackevinfey/exercise-xgboost", "kernel_id": "54776252"}, {"ref": "mackevinfey/exercise-data-leakage", "kernel_id": "54776258"}, {"ref": "mackevinfey/exercise-pipelines", "kernel_id": "54775280"}, {"ref": "mackevinfey/exercise-cross-validation", "kernel_id": "54775592"}, {"ref": "dchidume/exercise-categorical-variables", "kernel_id": "54770321"}, {"ref": "dchidume/exercise-pipelines", "kernel_id": "54771278"}, {"ref": "dchidume/exercise-introduction", "kernel_id": "54769209"}, {"ref": "dchidume/exercise-missing-values", "kernel_id": "54769411"}, {"ref": "dchidume/exercise-data-leakage", "kernel_id": "54773227"}, {"ref": "dchidume/exercise-cross-validation", "kernel_id": "54771543"}, {"ref": "dchidume/exercise-xgboost", "kernel_id": "54772417"}, {"ref": "kendragraham/exercise-introduction", "kernel_id": "54772585"}, {"ref": "kendragraham/exercise-missing-values", "kernel_id": "54773601"}, {"ref": "kendragraham/exercise-categorical-variables", "kernel_id": "54774803"}, {"ref": "kendragraham/exercise-cross-validation", "kernel_id": "54843326"}, {"ref": "kendragraham/exercise-xgboost", "kernel_id": "54844264"}, {"ref": "kendragraham/exercise-pipelines", "kernel_id": "54841678"}, {"ref": "kendragraham/exercise-data-leakage", "kernel_id": "54846386"}, {"ref": "chenra1/exercise-introduction", "kernel_id": "54606005"}, {"ref": "chenra1/exercise-xgboost", "kernel_id": "54616639"}, {"ref": "chenra1/exercise-missing-values", "kernel_id": "54608630"}, {"ref": "chenra1/exercise-categorical-variables", "kernel_id": "54610872"}, {"ref": "chenra1/exercise-cross-validation", "kernel_id": "54615031"}, {"ref": "chenra1/exercise-pipelines", "kernel_id": "54613925"}, {"ref": "chenra1/exercise-data-leakage", "kernel_id": "54644112"}, {"ref": "paulepperson/exercise-your-first-machine-learning-model", "kernel_id": "54712501"}, {"ref": "paulepperson/exercise-underfitting-and-overfitting", "kernel_id": "54716136"}, {"ref": "paulepperson/exercise-random-forests", "kernel_id": "54716444"}, {"ref": "paulepperson/exercise-model-validation", "kernel_id": "54714956"}, {"ref": "paulepperson/exercise-machine-learning-competitions", "kernel_id": "54716695"}, {"ref": "paulepperson/exercise-introduction", "kernel_id": "54770034"}, {"ref": "paulepperson/exercise-xgboost", "kernel_id": "54774989"}, {"ref": "paulepperson/exercise-data-leakage", "kernel_id": "54775688"}, {"ref": "paulepperson/exercise-missing-values", "kernel_id": "54771662"}, {"ref": "paulepperson/exercise-pipelines", "kernel_id": "54773933"}, {"ref": "paulepperson/exercise-cross-validation", "kernel_id": "54774300"}, {"ref": "paulepperson/exercise-categorical-variables", "kernel_id": "54772606"}, {"ref": "obyidrissi/exercise-your-first-machine-learning-model", "kernel_id": "54967077"}, {"ref": "s2krishs/exercise-your-first-machine-learning-model", "kernel_id": "54808568"}, {"ref": "zaferaydin/comp-468-spring-2024-midterm-exam-solutions", "kernel_id": "55495652"}, {"ref": "zaferaydin/comp-468-spring-2024-midterm-exam-template", "kernel_id": "55493204"}, {"ref": "skg234/exercise-introduction", "kernel_id": "55982627"}, {"ref": "vemendez/exercise-data-leakage", "kernel_id": "55318103"}, {"ref": "mos3santos/exercise-data-leakage", "kernel_id": "55375989"}, {"ref": "korayvatan/exercise-cross-validation", "kernel_id": "55024448"}, {"ref": "cosminx/apply-topics-from-machine-learning-kaggle-courses", "kernel_id": "55376528"}, {"ref": "mozammalhaquetonoy/exercise-xgboost", "kernel_id": "55016890"}, {"ref": "tolgahankeles/comp-468-homework-2-tolgahan-kele", "kernel_id": "55376789"}, {"ref": "tolgahankeles/comp-468-midterm-exam-tolgahan-kele", "kernel_id": "55555256"}, {"ref": "tolgahankeles/exercise-xgboost", "kernel_id": "55026142"}, {"ref": "tolgahankeles/exercise-cross-validation", "kernel_id": "55027671"}, {"ref": "muhammetemintufan/comp-468-midterm-exam-muhammet-emin-tufan", "kernel_id": "55555332"}, {"ref": "johnvelasco/regression-problem-walkthrough", "kernel_id": "55564516"}, {"ref": "kahramankaradavut/comp-468-homework-2-kahraman-karadavut", "kernel_id": "55392251"}, {"ref": "furkansamedansacar/comp-468-midterm-exam-furkan-samed-ansa-ar", "kernel_id": "55555431"}, {"ref": "mumtazahmadmaitla/exercise-xgboost", "kernel_id": "55645939"}, {"ref": "bugraalperenulurmak/comp-468-homework-2-bu-ra-alperen-ulu-rmak", "kernel_id": "55350706"}, {"ref": "erdemyavuz55/exercise-xgboost", "kernel_id": "55026549"}, {"ref": "erdemyavuz55/notebookaabdd77fcd", "kernel_id": "55023322"}, {"ref": "hseyinesad/comp-468-midterm-exam-huseyin-esad-oner", "kernel_id": "55555404"}, {"ref": "iremsilayildirim/exercise-data-leakage", "kernel_id": "55550524"}, {"ref": "iremsilayildirim/exercise-introduction", "kernel_id": "55545360"}, {"ref": "displayed33/2-intro-to-machine-learning-6", "kernel_id": "55602943"}, {"ref": "fathtalha/exercise-cross-validation", "kernel_id": "55022680"}, {"ref": "rezvanakbaharvand/exercise-missing-values", "kernel_id": "55552309"}, {"ref": "alfiaabubaker/exercise-xgboost", "kernel_id": "55813658"}, {"ref": "alfiaabubaker/exercise-missing-values", "kernel_id": "55432763"}, {"ref": "phongngochoangnguyen/exercise-your-first-machine-learning-model", "kernel_id": "55661419"}, {"ref": "soumyapriyagoswami/exercise-categorical-variables", "kernel_id": "55848840"}, {"ref": "fahadazeem420/exercise-your-first-machine-learning-model", "kernel_id": "55243631"}, {"ref": "fahadazeem420/exercise-model-validation", "kernel_id": "55244173"}, {"ref": "fahadazeem420/exercise-random-forests", "kernel_id": "55245956"}, {"ref": "fahadazeem420/exercise-underfitting-and-overfitting", "kernel_id": "55245113"}, {"ref": "fahadazeem420/exercise-machine-learning-competitions", "kernel_id": "55246078"}, {"ref": "mahmudulhaqueshawon/housing-price-eda-random", "kernel_id": "55448153"}, {"ref": "alisarimermer/comp-468-midterm-exam-ali-sar-mermer", "kernel_id": "55555233"}, {"ref": "ahmeterenceylan/comp-468-midterm-exam-ahmet-eren-ceylan", "kernel_id": "55555453"}, {"ref": "gauravsahu1834/competition", "kernel_id": "55064556"}, {"ref": "naboqua/exercise-your-first-machine-learning-model", "kernel_id": "55899499"}, {"ref": "naboqua/exercise-model-validation", "kernel_id": "55899926"}, {"ref": "naboqua/exercise-underfitting-and-overfitting", "kernel_id": "55900513"}, {"ref": "naboqua/exercise-random-forests", "kernel_id": "55900743"}, {"ref": "naboqua/exercise-machine-learning-competitions", "kernel_id": "55900840"}, {"ref": "mustafaulucan/comp-468-midterm-exam-mustafa-ulucan", "kernel_id": "55555438"}, {"ref": "harshitbansal122/exercise-your-first-machine-learning-model", "kernel_id": "55076352"}, {"ref": "engdhay/exercise-random-forests", "kernel_id": "55097291"}, {"ref": "aybukeyildiz/exercise-cross-validation", "kernel_id": "55022793"}, {"ref": "aybukeyildiz/exercise-xgboost", "kernel_id": "55024726"}, {"ref": "berfincandemir/comp-468-midterm-exam-berfin-candemir", "kernel_id": "55555311"}, {"ref": "zacharymcollins/exercise-machine-learning-competitions", "kernel_id": "55447914"}, {"ref": "zacharymcollins/exercise-random-forests", "kernel_id": "55447065"}, {"ref": "zacharymcollins/exercise-underfitting-and-overfitting", "kernel_id": "55446772"}, {"ref": "zacharymcollins/exercise-model-validation", "kernel_id": "55446571"}, {"ref": "zacharymcollins/exercise-your-first-machine-learning-model", "kernel_id": "55446069"}, {"ref": "zacharymcollins/getting-started-modeling-housing-prices", "kernel_id": "55433135"}, {"ref": "zacharymcollins/simplifying-problematic-features", "kernel_id": "55538591"}, {"ref": "zacharymcollins/exercise-categorical-variables", "kernel_id": "55525834"}, {"ref": "zacharymcollins/exercise-pipelines", "kernel_id": "55531755"}, {"ref": "zacharymcollins/exercise-cross-validation", "kernel_id": "55532474"}, {"ref": "zacharymcollins/exercise-missing-values", "kernel_id": "55521998"}, {"ref": "hasibur013/exercise-categorical-variables", "kernel_id": "55679814"}, {"ref": "hasibur013/exercise-pipelines", "kernel_id": "55820620"}, {"ref": "hasibur013/exercise-missing-values", "kernel_id": "55549381"}, {"ref": "hasibur013/exercise-xgboost", "kernel_id": "55968930"}, {"ref": "hasibur013/exercise-cross-validation", "kernel_id": "55885907"}, {"ref": "korynelson/exercise-missing-values", "kernel_id": "55243480"}, {"ref": "korynelson/exercise-categorical-variables", "kernel_id": "55244111"}, {"ref": "korynelson/exercise-cross-validation", "kernel_id": "55244968"}, {"ref": "korynelson/exercise-pipelines", "kernel_id": "55244704"}, {"ref": "korynelson/exercise-xgboost", "kernel_id": "55245485"}, {"ref": "korynelson/exercise-data-leakage", "kernel_id": "55245875"}, {"ref": "lingzhencheng/exercise-random-forests", "kernel_id": "55338995"}, {"ref": "anamvalmeida/exercise-categorical-variables-w-optional-step", "kernel_id": "55908740"}, {"ref": "lionell/exercise-your-first-machine-learning-model", "kernel_id": "56473129"}, {"ref": "lionell/exercise-model-validation", "kernel_id": "56474725"}, {"ref": "lionell/exercise-underfitting-and-overfitting", "kernel_id": "56475761"}, {"ref": "lionell/exercise-random-forests", "kernel_id": "56476421"}, {"ref": "lionell/exercise-machine-learning-competitions", "kernel_id": "56476605"}, {"ref": "skg234/exercise-categorical-variables", "kernel_id": "56471272"}, {"ref": "skg234/exercise-data-leakage", "kernel_id": "56475002"}, {"ref": "skg234/exercise-pipelines", "kernel_id": "56484007"}, {"ref": "skg234/exercise-cross-validation", "kernel_id": "56485685"}, {"ref": "skg234/exercise-xgboost", "kernel_id": "56487374"}, {"ref": "skg234/exercise-missing-values", "kernel_id": "56016977"}, {"ref": "sangai260/exercise-machine-learning-competitions", "kernel_id": "56095721"}, {"ref": "michaelfletcher/predicting-housing-prices-with-machine-learning", "kernel_id": "56823253"}, {"ref": "tolgahankeles/comp-468-homework-3-tolgahan-kele", "kernel_id": "56750605"}, {"ref": "johnvelasco/svr-housing-prices-comp", "kernel_id": "56648540"}, {"ref": "gandemnitin/exercise-introduction", "kernel_id": "56691481"}, {"ref": "kahramankaradavut/comp-468-homework-3-kahraman-karadavut", "kernel_id": "56930425"}, {"ref": "rajiulhasan/exercise-your-first-machine-learning-model", "kernel_id": "56432167"}, {"ref": "rajiulhasan/exercise-machine-learning-competitions", "kernel_id": "56442333"}, {"ref": "rajiulhasan/exercise-cross-validation", "kernel_id": "56927738"}, {"ref": "rajiulhasan/exercise-pipelines", "kernel_id": "56913686"}, {"ref": "rajiulhasan/exercise-categorical-variables", "kernel_id": "56818044"}, {"ref": "rajiulhasan/exercise-missing-values", "kernel_id": "56723936"}, {"ref": "bugraalperenulurmak/comp-468-spring-2023-hw3-bu-ra-alperen-ulu-rmak", "kernel_id": "56824535"}, {"ref": "hseyinesad/comp-468-homework-3-huseyin-esad-oner", "kernel_id": "56720115"}, {"ref": "muhammadfadlirohmanr/exercise-introduction", "kernel_id": "56289519"}, {"ref": "mawgashen/fork-of-exercise-machine-learning-competitions", "kernel_id": "56064903"}, {"ref": "jessica79256/exercise-xgboost", "kernel_id": "56482832"}, {"ref": "jessica79256/exercise-cross-validation", "kernel_id": "56479875"}, {"ref": "jessica79256/exercise-categorical-variables", "kernel_id": "56392405"}, {"ref": "laydadinklah/comp-468-homework-3-layda-din-k-lah", "kernel_id": "56991704"}, {"ref": "hojiakbardev/exercise-machine-learning-competitions", "kernel_id": "56693378"}, {"ref": "hojiakbardev/exercise-underfitting-and-overfitting", "kernel_id": "56442701"}, {"ref": "hojiakbardev/exercise-your-first-machine-learning-model", "kernel_id": "56378192"}, {"ref": "amirazizdatascience/exercise-random-forests", "kernel_id": "56360666"}, {"ref": "amirazizdatascience/exercise-machine-learning-competitions", "kernel_id": "56360774"}, {"ref": "amirazizdatascience/exercise-underfitting-and-overfitting", "kernel_id": "56453163"}, {"ref": "amirazizdatascience/exercise-model-validation", "kernel_id": "56453037"}, {"ref": "gastonsaracusti/exercise-your-first-machine-learning-model", "kernel_id": "56595956"}, {"ref": "kwhchung/house-prices-competition-with-neural-network", "kernel_id": "56920248"}, {"ref": "cardata/exercise-machine-learning-competitions", "kernel_id": "56946118"}, {"ref": "alisarimermer/homework-3-ali-sar-mermer", "kernel_id": "56909776"}, {"ref": "nooshinyazdanpanah/exercise-model-validation", "kernel_id": "56414161"}, {"ref": "mustafaulucan/comp468-homework-3-mustafa-ulucan", "kernel_id": "56809882"}, {"ref": "sarah1321/exercise-model-validation", "kernel_id": "56046464"}, {"ref": "sarah1321/exercise-underfitting-and-overfitting", "kernel_id": "56046479"}, {"ref": "sarah1321/exercise-random-forests", "kernel_id": "56046486"}, {"ref": "sarah1321/exercise-missing-values", "kernel_id": "56384175"}, {"ref": "sarah1321/exercise-introduction", "kernel_id": "56382406"}, {"ref": "sarah1321/exercise-xgboost", "kernel_id": "56719105"}, {"ref": "sarah1321/exercise-cross-validation", "kernel_id": "56718373"}, {"ref": "sarah1321/exercise-pipelines", "kernel_id": "56717458"}, {"ref": "sarah1321/exercise-data-leakage", "kernel_id": "56719879"}, {"ref": "sarah1321/exercise-categorical-variables", "kernel_id": "56707611"}, {"ref": "lingoyao/exercise-xgboost", "kernel_id": "56255532"}, {"ref": "shanuv000/exercise-machine-learning-competitions", "kernel_id": "56224198"}, {"ref": "sxdtlili/exercise-model-validation", "kernel_id": "56927551"}, {"ref": "sxdtlili/exercise-random-forests", "kernel_id": "56961897"}, {"ref": "sxdtlili/exercise-underfitting-and-overfitting", "kernel_id": "56955080"}, {"ref": "zacharymcollins/exercise-xgboost", "kernel_id": "56059376"}, {"ref": "hasibur013/exercise-data-leakage", "kernel_id": "56025953"}, {"ref": "tundeogundare/exercise-random-forests", "kernel_id": "56420811"}, {"ref": "tundeogundare/exercise-machine-learning-competitions", "kernel_id": "56421497"}, {"ref": "tundeogundare/exercise-model-validation", "kernel_id": "56419161"}, {"ref": "tundeogundare/exercise-underfitting-and-overfitting", "kernel_id": "56420366"}, {"ref": "tundeogundare/exercise-your-first-machine-learning-model", "kernel_id": "56418174"}, {"ref": "andreiuruev/first-time-on-kaggle", "kernel_id": "56440976"}, {"ref": "lionell/exercise-introduction", "kernel_id": "57040985"}, {"ref": "lionell/exercise-missing-values", "kernel_id": "57041797"}, {"ref": "lionell/exercise-categorical-variables", "kernel_id": "57044471"}, {"ref": "lionell/exercise-pipelines", "kernel_id": "57128401"}, {"ref": "lionell/exercise-cross-validation", "kernel_id": "57132439"}, {"ref": "lionell/exercise-xgboost", "kernel_id": "57135834"}, {"ref": "lionell/exercise-data-leakage", "kernel_id": "57137000"}, {"ref": "poludniowyalbanczyk/exercise-xgboost", "kernel_id": "57995566"}, {"ref": "poludniowyalbanczyk/exercise-cross-validation", "kernel_id": "57844367"}, {"ref": "mohammadjavad14/house-price-prediction-randomforestregressor", "kernel_id": "57790777"}, {"ref": "sulimanhaqqyarjan/exercise-machine-learning-competitions", "kernel_id": "57197462"}, {"ref": "sulimanhaqqyarjan/exercise-your-first-machine-learning-model", "kernel_id": "57122687"}, {"ref": "mozammalhaquetonoy/intermediate-machine-learning", "kernel_id": "57977900"}, {"ref": "prakashraushan/housing-price-prediction-ml", "kernel_id": "57421646"}, {"ref": "ayanabil11/exercise-your-first-machine-learning-model", "kernel_id": "57791981"}, {"ref": "ayanabil11/exercise-model-validation", "kernel_id": "57793387"}, {"ref": "burakakca07/comp-468-homework-3-burak-akca", "kernel_id": "57012420"}, {"ref": "abdelnassersoliman/exercise-model-validation", "kernel_id": "57197486"}, {"ref": "ums22002/exercise-machine-learning-competitions", "kernel_id": "57803479"}, {"ref": "displayed33/3-intermediate-machine-learning-3", "kernel_id": "57556245"}, {"ref": "displayed33/3-intermediate-machine-learning-2", "kernel_id": "57543523"}, {"ref": "useing/notebook7c80adb842", "kernel_id": "57488061"}, {"ref": "thejaxen/comp-468-homework-3-mert-duyar", "kernel_id": "57071848"}, {"ref": "mateusfsrg/exercise-your-first-machine-learning-model", "kernel_id": "57857393"}, {"ref": "marshakib/exercise-introduction", "kernel_id": "57462597"}, {"ref": "marshakib/exercise-machine-learning-competitions", "kernel_id": "57107467"}, {"ref": "amirazizdatascience/machine-learning-models-competitions", "kernel_id": "57302091"}, {"ref": "amirazizdatascience/exercise-missing-values", "kernel_id": "57767849"}, {"ref": "amirazizdatascience/exercise-introduction", "kernel_id": "57767596"}, {"ref": "ouzzkp/comp-468-homework-3-o-uz-kaan-pehlivan", "kernel_id": "57011443"}, {"ref": "alperen123321/comp-468-homework-3-mehmet-alperen-sahin", "kernel_id": "57198226"}, {"ref": "dishanbhandari/exercise-data-leakage", "kernel_id": "57949725"}, {"ref": "muhammadukasha09/housing-price-prediction", "kernel_id": "57478129"}, {"ref": "busrabasegmez/comp-468-homework-3-busra-basegmez", "kernel_id": "57195688"}, {"ref": "ialtun/exercise-machine-learning-competitions", "kernel_id": "57598307"}, {"ref": "harshitbansal122/exercise-introduction", "kernel_id": "57231510"}, {"ref": "haticeyaln/comp-468-homework-3-hatice-yal-n", "kernel_id": "57013404"}, {"ref": "ahmedelneim/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "57119326"}, {"ref": "feritylmazee/comp-468-homework-3-ferit-y-lmaz", "kernel_id": "57193608"}, {"ref": "sxdtlili/exercise-categorical-variables", "kernel_id": "57184131"}, {"ref": "sxdtlili/exercise-data-leakage", "kernel_id": "57272579"}, {"ref": "sxdtlili/exercise-xgboost", "kernel_id": "57268358"}, {"ref": "anna1058375/exercise-machine-learning-competitions", "kernel_id": "57581108"}, {"ref": "viktoriiadrozdovska/exercise-categorical-variables", "kernel_id": "57282371"}, {"ref": "dhruvenvaghela/exercise-machine-learning-competitions", "kernel_id": "57076649"}, {"ref": "dhruvenvaghela/exercise-random-forests", "kernel_id": "57076388"}, {"ref": "davidmartnvelzquez/exercise-your-first-machine-learning-model", "kernel_id": "57405625"}, {"ref": "hemasriko/exercise-underfitting-and-overfitting", "kernel_id": "57820623"}, {"ref": "marafloresceballos/exercise-machine-learning", "kernel_id": "57822434"}, {"ref": "zaferaydin/comp-468-spring-2024-homework-4-template", "kernel_id": "58223783"}, {"ref": "zaferaydin/comp-468-spring-2024-homework-4-solutions", "kernel_id": "58308474"}, {"ref": "blacktigerc7/exercise-missing-values", "kernel_id": "58453424"}, {"ref": "poludniowyalbanczyk/exercise-data-leakage", "kernel_id": "58310055"}, {"ref": "salimaddi/notebook5bc52b7e3d", "kernel_id": "58781551"}, {"ref": "salimaddi/exercise-cross-validation", "kernel_id": "58870805"}, {"ref": "salimaddi/exercise-data-leakage", "kernel_id": "58873234"}, {"ref": "salimaddi/exercise-xgboost", "kernel_id": "58872305"}, {"ref": "salimaddi/exercise-pipelines", "kernel_id": "58869213"}, {"ref": "salimaddi/exercise-categorical-variables", "kernel_id": "58865941"}, {"ref": "salimaddi/exercise-missing-values", "kernel_id": "58859224"}, {"ref": "cmendezmalaga/exercise-model-validation", "kernel_id": "58205650"}, {"ref": "cmendezmalaga/exercise-your-first-machine-learning-model", "kernel_id": "58161529"}, {"ref": "sahinemin/comp-468-homework-4-emin-sahin", "kernel_id": "58642287"}, {"ref": "ayanabil11/exercise-underfitting-and-overfitting", "kernel_id": "58275418"}, {"ref": "ayanabil11/exercise-machine-learning-competitions", "kernel_id": "58276832"}, {"ref": "tolgahankeles/comp-468-homework-4-tolgahan-keles", "kernel_id": "58391298"}, {"ref": "muhammetemintufan/comp-468-homework-4-muhammet-emin-tufan", "kernel_id": "58580703"}, {"ref": "kahramankaradavut/comp-468-homework-4-kahraman-karadavut", "kernel_id": "58814749"}, {"ref": "furkansamedansacar/comp-468-homework-furkan-samed-ansa-ar", "kernel_id": "58981112"}, {"ref": "aruzhantuletbekova/exercise-random-forests", "kernel_id": "58650901"}, {"ref": "nurullah23/comp-468-homework-4-nurullah-celik", "kernel_id": "58880906"}, {"ref": "hanghanna56/exercise-random-forests", "kernel_id": "58688749"}, {"ref": "bugraalperenulurmak/comp-468-homework-4-bu-ra-alperen-ulu-rmak", "kernel_id": "58638605"}, {"ref": "hseyinesad/comp-468-homework-4-huseyin-esad-oner", "kernel_id": "58745871"}, {"ref": "tozlukozmos/comp-468-homework-4-abdulkadir-eyig-l", "kernel_id": "58996509"}, {"ref": "romeoangasa/my-house-project", "kernel_id": "58516210"}, {"ref": "leonardofarran/exercise-machine-learning-competitions", "kernel_id": "58610567"}, {"ref": "leonardofarran/exercise-random-forests", "kernel_id": "58609915"}, {"ref": "mateusfsrg/exercise-machine-learning-competitions", "kernel_id": "58291863"}, {"ref": "mateusfsrg/exercise-random-forests", "kernel_id": "58289345"}, {"ref": "mateusfsrg/exercise-model-validation", "kernel_id": "58057474"}, {"ref": "mateusfsrg/exercise-underfitting-and-overfitting", "kernel_id": "58062863"}, {"ref": "alisarimermer/sar-mermer", "kernel_id": "58559847"}, {"ref": "muhammadshaiskhan/house-model-validation", "kernel_id": "58470842"}, {"ref": "cur1ousdata/ml-model-for-competition", "kernel_id": "58359038"}, {"ref": "suleymanberkay/comp-468-homework-4-s-leyman-berkay-y-lmaz", "kernel_id": "58591956"}, {"ref": "zaheer7736/exercise-missing-values", "kernel_id": "58104249"}, {"ref": "zaheer7736/exercise-categorical-variables", "kernel_id": "58109556"}, {"ref": "zaheer7736/exercise-xgboost", "kernel_id": "58125239"}, {"ref": "zaheer7736/exercise-pipelines", "kernel_id": "58121970"}, {"ref": "zaheer7736/exercise-machine-learning-competitions", "kernel_id": "58099936"}, {"ref": "zaheer7736/exercise-introduction", "kernel_id": "58101979"}, {"ref": "zaheer7736/exercise-random-forests", "kernel_id": "58095293"}, {"ref": "zaheer7736/exercise-underfitting-and-overfitting", "kernel_id": "58094270"}, {"ref": "zaheer7736/exercise-model-validation", "kernel_id": "58093751"}, {"ref": "zaheer7736/exercise-your-first-machine-learning-model", "kernel_id": "58092408"}, {"ref": "yifattih/exercise-your-first-machine-learning-model", "kernel_id": "58994717"}, {"ref": "habibaishfaq/exercise-your-first-machine-learning-model", "kernel_id": "58920170"}, {"ref": "habibaishfaq/exercise-model-validation", "kernel_id": "58920485"}, {"ref": "knotnot/exercise-machine-learning-competitions", "kernel_id": "58966484"}, {"ref": "sakshamjr10/exercise-pipelines", "kernel_id": "58533197"}, {"ref": "sakshamjr10/exercise-missing-values", "kernel_id": "58497330"}, {"ref": "seerat/exercise-your-first-machine-learning-model", "kernel_id": "59047208"}, {"ref": "zaferaydin/comp-468-spring-2024-final-exam-template", "kernel_id": "59176694"}, {"ref": "zaferaydin/comp-468-spring-2024-final-exam-solutions", "kernel_id": "59186320"}, {"ref": "kunalkankansen/exercise-introduction", "kernel_id": "59077761"}, {"ref": "cmendezmalaga/exercise-underfitting-and-overfitting", "kernel_id": "59282206"}, {"ref": "muhammedsefaakyz/comp-468-final-exam-muhammed-sefa-aky-z", "kernel_id": "59166633"}, {"ref": "abdurrakip/comp-468-final-exam-abdurrakip-lgin", "kernel_id": "59182985"}, {"ref": "abdurrakip/comp-468-homework-4-abdurrakip-lgin", "kernel_id": "59008272"}, {"ref": "sametpaksoy/comp-468-homework-4-durdu-samet-paksoy", "kernel_id": "59004539"}, {"ref": "sametpaksoy/comp-468-final-exam-durdu-samet-paksoy", "kernel_id": "59182302"}, {"ref": "tolgahankeles/comp-468-final-exam-tolgahan-keles", "kernel_id": "59190692"}, {"ref": "wissalmezghiche/exercise-categorical-variables", "kernel_id": "59578462"}, {"ref": "wissalmezghiche/exercise-missing-values", "kernel_id": "59577619"}, {"ref": "ezequielalvessoares/exercise-underfitting-and-overfitting", "kernel_id": "59457073"}, {"ref": "ezequielalvessoares/exercise-machine-learning-competitions", "kernel_id": "59461620"}, {"ref": "ezequielalvessoares/exercise-random-forests", "kernel_id": "59460738"}, {"ref": "ezequielalvessoares/exercise-your-first-machine-learning-model", "kernel_id": "59188380"}, {"ref": "ezequielalvessoares/exercise-model-validation", "kernel_id": "59210800"}, {"ref": "burakakca07/comp-468-homework-4-burak-akca", "kernel_id": "59010441"}, {"ref": "cerenozakinci/comp-468-homework-4-ceren-ozakinci", "kernel_id": "59009763"}, {"ref": "betlerdoan/comp-468-homework-4-emine-bet-l-erdo-an", "kernel_id": "59006624"}, {"ref": "jospadraosilva/exercise-model-validation", "kernel_id": "59689303"}, {"ref": "jospadraosilva/exercise-your-first-machine-learning-model", "kernel_id": "59685193"}, {"ref": "jospadraosilva/exercise-underfitting-and-overfitting", "kernel_id": "59992199"}, {"ref": "jospadraosilva/exercise-random-forests", "kernel_id": "59992325"}, {"ref": "jospadraosilva/exercise-machine-learning-competitions", "kernel_id": "59992430"}, {"ref": "muhsinertekin/comp-468-final-exam-muhsin-ertekin", "kernel_id": "59180865"}, {"ref": "nurullah23/comp-468-final-exam-nurullahcelik", "kernel_id": "59187565"}, {"ref": "erdemyavuz55/comp-468-homework-4-erdem-yavuz-hac-softao-lu-canc", "kernel_id": "59544056"}, {"ref": "erdemyavuz55/comp-468-final-exam-erdem-yavuz-hac-softao-lu", "kernel_id": "59183149"}, {"ref": "erdemyavuz55/comp-468-homework-4-erdem-yavuz-hac-softao-lu", "kernel_id": "59010064"}, {"ref": "glcanbal/comp-468-final-exam-g-lcan-bal", "kernel_id": "59182233"}, {"ref": "glcanbal/comp-468-homework-4-g-lcan-bal", "kernel_id": "59013419"}, {"ref": "hseyinesad/comp-468-final-exam-huseyin-esad-oner", "kernel_id": "59182157"}, {"ref": "iremsilayildirim/data-science-predictive-analytics", "kernel_id": "59182362"}, {"ref": "iremsilayildirim/applied-predictive-modeling", "kernel_id": "59014872"}, {"ref": "displayed33/3-intermediate-machine-learning-4", "kernel_id": "59405541"}, {"ref": "thejaxen/comp-468-homework-4-mert-duyar", "kernel_id": "59011641"}, {"ref": "thejaxen/comp-468-final-exam-mert-duyar", "kernel_id": "59183208"}, {"ref": "leonsouza/exercise-your-first-machine-learning-model", "kernel_id": "59638186"}, {"ref": "leonsouza/exercise-machine-learning-competitions", "kernel_id": "59755148"}, {"ref": "dhruv5018/house-regression-neural-nets", "kernel_id": "59923289"}, {"ref": "ouzzkp/comp-468-homework-4-o-uz-kaan-pehlivan", "kernel_id": "59008363"}, {"ref": "alperen123321/comp-468-final-exam-mehmet-alperen-ahin", "kernel_id": "59182311"}, {"ref": "barisskurt/comp-468-homework-4-bar-kurt", "kernel_id": "59013982"}, {"ref": "barisskurt/comp-468-final-exam-bar-kurt", "kernel_id": "59181767"}, {"ref": "davutbykimek/comp-468-final-exam-davut-b-y-k-im-ek", "kernel_id": "59182159"}, {"ref": "ahmetfurkanyagmur/comp-468-homework-4-ahmet-furkan-yagmur", "kernel_id": "59015401"}, {"ref": "bugravibes/comp-468-final-exam-mustafa-bu-ra-eser", "kernel_id": "59182158"}, {"ref": "muratkocc0/comp-468-homework-4-murat-koc", "kernel_id": "59016999"}, {"ref": "hasanarii/comp-468-homework-4-hasan-ar", "kernel_id": "59011763"}, {"ref": "hasanarii/comp-468-final-exam-hasan-ari", "kernel_id": "59182772"}, {"ref": "ahmeterenceylan/comp-468-final-exam-ahmet-eren-ceylan", "kernel_id": "59181841"}, {"ref": "asliaysesahin/comp-468-homework-4-asl-ay-e-ahin", "kernel_id": "59012921"}, {"ref": "recepborekci/comp-468-final-exam-recep-borekci", "kernel_id": "59182149"}, {"ref": "heissenberg06/comp-468-homework-4-huseyin-berk-emir", "kernel_id": "59016700"}, {"ref": "heissenberg06/comp-468-final-exam-huseyin-berk-emir", "kernel_id": "59183038"}, {"ref": "mustafaulucan/comp-468-final-exam-your-mustafa-ulucan", "kernel_id": "59182352"}, {"ref": "suleymanberkay/comp468-final-exam-s-leyman-berkay-y-lmaz", "kernel_id": "59182921"}, {"ref": "haticeyaln/comp-468-homework-4-hatice-yal-n", "kernel_id": "59011034"}, {"ref": "whatthedatahastotell/exercise-pipelines", "kernel_id": "59196443"}, {"ref": "feritylmazee/comp-468-homework-4-ferit-y-lmaz", "kernel_id": "59009904"}, {"ref": "aybukeyildiz/comp-468-homework-4-ayb-ke-y-ld-z", "kernel_id": "59058097"}, {"ref": "abdulaziz028/comp-468-final-exam-abdulaziz-musse", "kernel_id": "59181905"}, {"ref": "mrokind/exercise-your-first-machine-learning-model", "kernel_id": "59381971"}, {"ref": "aronbisrat/exercise-your-first-machine-learning-model", "kernel_id": "59202430"}, {"ref": "aronbisrat/exercise-underfitting-and-overfitting", "kernel_id": "59901174"}, {"ref": "sameerqureshii/exercise-machine-learning-competitions", "kernel_id": "59525498"}, {"ref": "amylnzhang/zhang-a-your-first-machine-learning-model", "kernel_id": "59994476"}, {"ref": "amylnzhang/zhang-a-exercise-model-validation", "kernel_id": "59996443"}, {"ref": "akanksha668/exercise-your-first-machine-learning-model", "kernel_id": "60655250"}, {"ref": "kahramankaradavut/comp-468-homework-4-kahraman-karadavut1", "kernel_id": "60786852"}, {"ref": "raissamaringka/exercise-your-first-machine-learning-model", "kernel_id": "60427009"}, {"ref": "mfp332/exercise-machine-learning-competitions", "kernel_id": "60659423"}, {"ref": "displayed33/3-intermediate-machine-learning-5", "kernel_id": "60182698"}, {"ref": "jashanpreetsinghbrar/exercise-machine-learning-competitions", "kernel_id": "60067843"}, {"ref": "leonsouza/exercise-pipelines", "kernel_id": "60436625"}, {"ref": "vanshitaaggarwal/exercise-machine-learning-competitions", "kernel_id": "60180845"}, {"ref": "yashmehta71/exercise-your-first-machine-learning-model", "kernel_id": "60408699"}, {"ref": "fqhhusain/exercise-machine-learning-competitions", "kernel_id": "60822774"}, {"ref": "rashadeltaher/exercise-machine-learning-competitions", "kernel_id": "60377606"}, {"ref": "abhishek2334/exercise-categorical-variables", "kernel_id": "60278134"}, {"ref": "yannaktb/housing-prices-regression-classification-tasks", "kernel_id": "60656022"}, {"ref": "ihashirjadoon/exercise-pipelines", "kernel_id": "60015300"}, {"ref": "tomascarmonasalazar/exercise-machine-learning-competitions", "kernel_id": "60794536"}, {"ref": "testdrivenmike/your-first-machine-learning-model", "kernel_id": "60253167"}, {"ref": "testdrivenmike/exercise-cross-validation", "kernel_id": "60319680"}, {"ref": "kaniskamitra/exercise-introduction", "kernel_id": "60327507"}, {"ref": "kaniskamitra/exercise-missing-values", "kernel_id": "60440089"}, {"ref": "kaniskamitra/exercise-your-first-machine-learning-model", "kernel_id": "60198241"}, {"ref": "kaniskamitra/solved-exercise-random-forests", "kernel_id": "60265273"}, {"ref": "kaniskamitra/exercise-machine-learning-competitions", "kernel_id": "60265464"}, {"ref": "kaniskamitra/solved-exercise-underfitting-and-overfitting", "kernel_id": "60264945"}, {"ref": "kaniskamitra/solved-exercise-model-validation", "kernel_id": "60263972"}, {"ref": "astroshwetadalal/exercise-your-first-machine-learning-model", "kernel_id": "60313769"}, {"ref": "astroshwetadalal/exercise-underfitting-and-overfitting", "kernel_id": "60584713"}, {"ref": "astroshwetadalal/exercise-random-forests", "kernel_id": "60586727"}, {"ref": "astroshwetadalal/exercise-machine-learning-competitions", "kernel_id": "60587309"}, {"ref": "astroshwetadalal/exercise-model-validation", "kernel_id": "60580124"}, {"ref": "devampathak101/exercise-machine-learning-competitions", "kernel_id": "60790814"}, {"ref": "graceallynbindosano/exercise-underfitting-and-overfitting", "kernel_id": "60757286"}, {"ref": "graceallynbindosano/exercise-random-forests", "kernel_id": "60784942"}, {"ref": "graceallynbindosano/exercise-machine-learning-competitions", "kernel_id": "60785349"}, {"ref": "graceallynbindosano/exercise-model-validation", "kernel_id": "60712040"}, {"ref": "graceallynbindosano/exercise-your-first-machine-learning-model", "kernel_id": "60548604"}, {"ref": "hizkiasiregar/exercise-model-validation", "kernel_id": "60505625"}, {"ref": "hizkiasiregar/exercise-your-first-machine-learning-model", "kernel_id": "60458077"}, {"ref": "hizkiasiregar/exercise-underfitting-and-overfitting", "kernel_id": "60655516"}, {"ref": "hizkiasiregar/exercise-random-forests", "kernel_id": "60655756"}, {"ref": "hizkiasiregar/exercise-machine-learning-competitions", "kernel_id": "60830194"}, {"ref": "audreybambulu/exercise-model-validation", "kernel_id": "60457986"}, {"ref": "audreybambulu/exercise-your-first-machine-learning-model", "kernel_id": "60457900"}, {"ref": "audreybambulu/exercise-underfitting-and-overfitting", "kernel_id": "60564535"}, {"ref": "audreybambulu/exercise-random-forests", "kernel_id": "60566010"}, {"ref": "audreybambulu/exercise-machine-learning-competitions", "kernel_id": "60567952"}, {"ref": "natashakountur/exercise-model-validation", "kernel_id": "60554062"}, {"ref": "natashakountur/exercise-your-first-machine-learning-model", "kernel_id": "60458593"}, {"ref": "natashakountur/exercise-underfitting-and-overfitting", "kernel_id": "60760279"}, {"ref": "natashakountur/exercise-random-forests", "kernel_id": "60760983"}, {"ref": "dharlylurekke/exercise-model-validation", "kernel_id": "60567628"}, {"ref": "thimothyreymar/exercise-your-first-machine-learning-model", "kernel_id": "60458414"}, {"ref": "thimothyreymar/exercise-model-validation", "kernel_id": "60459021"}, {"ref": "thimothyreymar/exercise-underfitting-and-overfitting", "kernel_id": "60459920"}, {"ref": "thimothyreymar/exercise-random-forests", "kernel_id": "60460614"}, {"ref": "faithzamandolang/exercise-your-first-machine-learning-model", "kernel_id": "60488700"}, {"ref": "faithzamandolang/exercise-model-validation", "kernel_id": "60495568"}, {"ref": "faithzamandolang/exercise-underfitting-and-overfitting", "kernel_id": "60784954"}, {"ref": "faithzamandolang/exercise-machine-learning-competitions", "kernel_id": "60786440"}, {"ref": "faithzamandolang/exercise-random-forests", "kernel_id": "60786056"}, {"ref": "dheananlohy/exercise-your-first-machine-learning-model", "kernel_id": "60458263"}, {"ref": "dheananlohy/exercise-underfitting-and-overfitting", "kernel_id": "60470946"}, {"ref": "dheananlohy/exercise-model-validation", "kernel_id": "60468984"}, {"ref": "dheananlohy/exercise-random-forests", "kernel_id": "60473395"}, {"ref": "noselychasoriton/exercise-your-first-machine-learning-model", "kernel_id": "60457613"}, {"ref": "noselychasoriton/exercise-model-validation", "kernel_id": "60550117"}, {"ref": "noselychasoriton/exercise-machine-learning-competitions", "kernel_id": "60760339"}, {"ref": "noselychasoriton/exercise-random-forests", "kernel_id": "60760241"}, {"ref": "noselychasoriton/exercise-underfitting-and-overfitting", "kernel_id": "60759865"}, {"ref": "avriliairenakawonal/exercise-underfitting-and-overfitting", "kernel_id": "60763806"}, {"ref": "avriliairenakawonal/exercise-random-forests", "kernel_id": "60764436"}, {"ref": "avriliairenakawonal/exercise-model-validation", "kernel_id": "60557505"}, {"ref": "avriliairenakawonal/exercise-your-first-machine-learning-model", "kernel_id": "60468374"}, {"ref": "juliomalinso/exercise-model-validation", "kernel_id": "60548012"}, {"ref": "juliomalinso/exercise-underfitting-and-overfitting", "kernel_id": "60761538"}, {"ref": "briananajoan/exercise-random-forests", "kernel_id": "60760051"}, {"ref": "briananajoan/exercise-underfitting-and-overfitting", "kernel_id": "60759618"}, {"ref": "briananajoan/exercise-machine-learning-competitions", "kernel_id": "60760337"}, {"ref": "briananajoan/exercise-model-validation", "kernel_id": "60536821"}, {"ref": "briananajoan/exercise-your-first-machine-learning-model", "kernel_id": "60504163"}, {"ref": "andreaspattinaja/exercise-your-first-machine-learning-model", "kernel_id": "60546103"}, {"ref": "andreaspattinaja/exercise-model-validation", "kernel_id": "60547997"}, {"ref": "andreaspattinaja/exercise-underfitting-and-overfitting", "kernel_id": "60559950"}, {"ref": "jonaldkaparang/exercise-your-first-machine-learning-model", "kernel_id": "60747760"}, {"ref": "jonaldkaparang/exercise-model-validation", "kernel_id": "60748309"}, {"ref": "jonaldkaparang/exercise-underfitting-and-overfitting", "kernel_id": "60828928"}, {"ref": "clayaikenmangeberjr/exercise-underfitting-and-overfitting", "kernel_id": "60717076"}, {"ref": "clayaikenmangeberjr/exercise-model-validation", "kernel_id": "60715588"}, {"ref": "clayaikenmangeberjr/exercise-machine-learning-competitions", "kernel_id": "60721274"}, {"ref": "clayaikenmangeberjr/exercise-random-forests", "kernel_id": "60719949"}, {"ref": "clayaikenmangeberjr/exercise-your-first-machine-learning-model", "kernel_id": "60714466"}, {"ref": "emilypangemanan/exercise-model-validation", "kernel_id": "60551163"}, {"ref": "emilypangemanan/exercise-underfitting-and-overfitting", "kernel_id": "60551306"}, {"ref": "emilypangemanan/exercise-your-first-machine-learning-model", "kernel_id": "60515984"}, {"ref": "emilypangemanan/exercise-random-forests", "kernel_id": "60760358"}, {"ref": "emilypangemanan/exercise-machine-learning-competitions", "kernel_id": "60760550"}, {"ref": "srichakradevarakonda/exercise-first-project", "kernel_id": "60593972"}, {"ref": "goyalmehul/exercise-categorical-variables", "kernel_id": "60648136"}, {"ref": "eidaljabali/exercise-machine-learning-competitions", "kernel_id": "60992809"}, {"ref": "eidaljabali/exercise-underfitting-and-overfitting", "kernel_id": "60976472"}, {"ref": "michaelcole26/exercise-your-first-machine-learning-model", "kernel_id": "60855625"}, {"ref": "michaelcole26/exercise-model-validation", "kernel_id": "60856629"}, {"ref": "tusharwaman/exercise-random-forests", "kernel_id": "61585480"}, {"ref": "ibtesamfatma/exercise-introduction", "kernel_id": "61215588"}, {"ref": "bhanujoshkakarla/exercise-xgboost", "kernel_id": "61759670"}, {"ref": "hansencahyadi/machine-learning-competitions", "kernel_id": "61514444"}, {"ref": "atialaila/exercise-introduction", "kernel_id": "61554957"}, {"ref": "atialaila/exercise-missing-values", "kernel_id": "61556924"}, {"ref": "atialaila/exercise-categorical-variables", "kernel_id": "61710961"}, {"ref": "atialaila/exercise-pipelines", "kernel_id": "61712465"}, {"ref": "atialaila/notebookaae7edfa6e", "kernel_id": "61980089"}, {"ref": "josephtharwat/housing-prices-competition-xgbregressor", "kernel_id": "61401537"}, {"ref": "muneeza3/exercise-your-first-machine-learning-model", "kernel_id": "61970587"}, {"ref": "muneeza3/exercise-machine-learning-competitions", "kernel_id": "61972232"}, {"ref": "muneeza3/exercise-random-forests", "kernel_id": "61972136"}, {"ref": "muneeza3/exercise-model-validation", "kernel_id": "61970795"}, {"ref": "muneeza3/exercise-underfitting-and-overfitting", "kernel_id": "61971277"}, {"ref": "rickybayupamungkas/intro-ml-exercise-machine-learning-competitions", "kernel_id": "61886449"}, {"ref": "rickybayupamungkas/intro-ml-exercise-underfitting-and-overfitting", "kernel_id": "61886012"}, {"ref": "rickybayupamungkas/intro-ml-exercise-model-validation", "kernel_id": "61885355"}, {"ref": "rickybayupamungkas/intro-ml-exercise-first-machine-learning-model", "kernel_id": "61884730"}, {"ref": "sinanyava/exercise-model-validation", "kernel_id": "61139410"}, {"ref": "sinanyava/exercise-your-first-machine-learning-model", "kernel_id": "61137887"}, {"ref": "sinanyava/exercise-machine-learning-competitions", "kernel_id": "61163147"}, {"ref": "sinanyava/exercise-random-forests", "kernel_id": "61162753"}, {"ref": "sinanyava/exercise-underfitting-and-overfitting", "kernel_id": "61151033"}, {"ref": "danuherath/house-prices-predict-regression", "kernel_id": "61692144"}, {"ref": "ayenuryrr/exercise-your-first-machine-learning-model", "kernel_id": "61437096"}, {"ref": "ayenuryrr/exercise-model-validation", "kernel_id": "61449364"}, {"ref": "ayenuryrr/exercise-machine-learning-competitions", "kernel_id": "61450645"}, {"ref": "ayenuryrr/exercise-random-forests", "kernel_id": "61450528"}, {"ref": "ayenuryrr/exercise-underfitting-and-overfitting", "kernel_id": "61450250"}, {"ref": "ayenuryrr/exercise-missing-values", "kernel_id": "61561121"}, {"ref": "sofialozanosamper/exercise-machine-learning-competitions", "kernel_id": "61076443"}, {"ref": "vidhijalan27/exercise-machine-learning-competitions", "kernel_id": "61361365"}, {"ref": "gabrieldsl/housing-prices-regress-o", "kernel_id": "61917963"}, {"ref": "mrokind/exercise-categorical-variables", "kernel_id": "61534329"}, {"ref": "mrokind/exercise-xgboost", "kernel_id": "61668056"}, {"ref": "mrokind/exercise-cross-validation", "kernel_id": "61594365"}, {"ref": "mrokind/exercise-pipelines", "kernel_id": "61592326"}, {"ref": "mrokind/exercise-random-forests", "kernel_id": "61410923"}, {"ref": "mrokind/exercise-machine-learning-competitions", "kernel_id": "61414099"}, {"ref": "mrokind/exercise-introduction", "kernel_id": "61415017"}, {"ref": "mrokind/exercise-missing-values", "kernel_id": "61418357"}, {"ref": "mrokind/exercise-model-validation", "kernel_id": "61354913"}, {"ref": "mrokind/exercise-underfitting-and-overfitting", "kernel_id": "61359443"}, {"ref": "jonahkim10/jonah-housing-prices", "kernel_id": "61584128"}, {"ref": "realzackmuckerberg/exercise-introduction", "kernel_id": "61465063"}, {"ref": "realzackmuckerberg/exercise-missing-values", "kernel_id": "61465469"}, {"ref": "berhandemiralp/housingregression", "kernel_id": "61771097"}, {"ref": "kaniskamitra/exercise-cross-validation", "kernel_id": "61599378"}, {"ref": "kaniskamitra/exercise-data-leakage", "kernel_id": "61607475"}, {"ref": "kaniskamitra/exercise-xgboost", "kernel_id": "61602621"}, {"ref": "kaniskamitra/exercise-pipelines", "kernel_id": "61597784"}, {"ref": "kaniskamitra/exercise-categorical-variables", "kernel_id": "61596538"}, {"ref": "mocanumihaiadrian/fork-of-house-prices-v2-mihai-mocanu", "kernel_id": "61073556"}, {"ref": "mocanumihaiadrian/house-prices-v2-mihai-mocanu", "kernel_id": "61041939"}, {"ref": "jakubbednarek/exercise-missing-values", "kernel_id": "61222732"}, {"ref": "jonaldkaparang/exercise-random-forests", "kernel_id": "61375145"}, {"ref": "jonaldkaparang/exercise-machine-learning-competitions", "kernel_id": "61375298"}, {"ref": "archwaq/exercise-model-validation", "kernel_id": "61210174"}, {"ref": "archwaq/exercise-your-first-machine-learning-model", "kernel_id": "61208079"}, {"ref": "abuzararah/exercise-the-first-machine-learning-model", "kernel_id": "61888665"}, {"ref": "zeidhhassim/exercise-random-forests", "kernel_id": "61928508"}, {"ref": "zeidhhassim/exercise-your-first-machine-learning-model", "kernel_id": "61893360"}, {"ref": "zeidhhassim/exercise-model-validation", "kernel_id": "61897164"}, {"ref": "luamaury/prova-final", "kernel_id": "62159881"}, {"ref": "sunyyyy07/exercise-categorical-variables", "kernel_id": "62570529"}, {"ref": "sunyyyy07/exercise-xgboost", "kernel_id": "62773170"}, {"ref": "magdyfarag/exercise-machine-learning-competitions", "kernel_id": "62358490"}, {"ref": "afifaf20/courserasupervisedweek1lab02", "kernel_id": "62015285"}, {"ref": "pratikkr10/exercise-machine-learning-competitions", "kernel_id": "62063591"}, {"ref": "morbidvivi/exercise-your-first-machine-learning-model", "kernel_id": "62367591"}, {"ref": "nelsonbenle/exercise-machine-learning-competitions", "kernel_id": "62466749"}, {"ref": "ayenuryrr/exercise-xgboost", "kernel_id": "62547408"}, {"ref": "shehabdiab/iowa-house-pricing-predictions-competition", "kernel_id": "62580995"}, {"ref": "muhammadasifwazir/houseingprice-prediction-competetion", "kernel_id": "62476297"}, {"ref": "jennevraets/exercise-your-first-machine-learning-model", "kernel_id": "62370912"}, {"ref": "saranyaponnarasu/exercise-machine-learning-competitions", "kernel_id": "62229510"}, {"ref": "wormsucker/exercise-categorical-variables", "kernel_id": "62086126"}, {"ref": "jessicarippman/exercise-your-first-machine-learning-model", "kernel_id": "62422802"}, {"ref": "jessicarippman/exercise-model-validation", "kernel_id": "62423363"}, {"ref": "jessicarippman/exercise-random-forests", "kernel_id": "62425180"}, {"ref": "jessicarippman/exercise-underfitting-and-overfitting", "kernel_id": "62424605"}, {"ref": "dipit099/exercise-xgboost", "kernel_id": "62339822"}, {"ref": "tamarapayu/exercise-random-forests", "kernel_id": "62796427"}, {"ref": "tamarapayu/exercise-underfitting-and-overfitting", "kernel_id": "62794900"}, {"ref": "tamarapayu/exercise-machine-learning-competitions", "kernel_id": "62796819"}, {"ref": "osmantuncel01/exercise-cross-validation", "kernel_id": "62302138"}, {"ref": "guilhermelts/top1-pf", "kernel_id": "62233563"}, {"ref": "eduardocalderini/exercise-machine-learning-competitions", "kernel_id": "62075385"}, {"ref": "mohamedalshekh/exercise-your-first-machine-learning-model", "kernel_id": "62010897"}, {"ref": "mohamedalshekh/exercise-random-forests", "kernel_id": "62080000"}, {"ref": "mohamedalshekh/exercise-machine-learning-competitions", "kernel_id": "62080605"}, {"ref": "mohamedalshekh/exercise-underfitting-and-overfitting", "kernel_id": "62077145"}, {"ref": "johannaschmidle7/house-price-predictor", "kernel_id": "62765000"}, {"ref": "astroshwetadalal/exercise-introduction", "kernel_id": "62350283"}, {"ref": "abuzararah/exercise-model-validation", "kernel_id": "62307730"}, {"ref": "abuzararah/exercise-underfitting-and-overfitting", "kernel_id": "62603777"}, {"ref": "abuzararah/exercise-random-forests", "kernel_id": "62862189"}, {"ref": "abuzararah/most-accurate", "kernel_id": "62871322"}, {"ref": "petroskaloudis/exercise-missing-values", "kernel_id": "62647153"}, {"ref": "petroskaloudis/exercise-introduction", "kernel_id": "62639702"}, {"ref": "petroskaloudis/exercise-categorical-variables", "kernel_id": "62967916"}, {"ref": "petroskaloudis/exercise-pipelines", "kernel_id": "62985078"}, {"ref": "mariovillasante/exercise-introduction", "kernel_id": "62457947"}, {"ref": "tamilmani97/exercise-model-validation", "kernel_id": "63253362"}, {"ref": "htonmoy19/exercise-pipelines", "kernel_id": "63676119"}, {"ref": "kiarazepeda/exercise-machine-learning-competitions", "kernel_id": "63117236"}, {"ref": "dipaleechauhan/exercise-machine-learning-competitions", "kernel_id": "63457454"}, {"ref": "hrnrxb/exercise-machine-learning-competitions", "kernel_id": "63563682"}, {"ref": "izabellawyne/housing-prices-competition", "kernel_id": "63237700"}, {"ref": "morbidvivi/exercise-model-validation", "kernel_id": "63292645"}, {"ref": "sandrasneha/exercise-model-validation", "kernel_id": "63255410"}, {"ref": "dipit099/fork-of-exercise-random-forests", "kernel_id": "63179329"}, {"ref": "viktoriiadrozdovska/exercise-xgboost", "kernel_id": "63423661"}, {"ref": "guldanikaosmonova/exercise-missing-values", "kernel_id": "63321540"}, {"ref": "objenzh/exercise-machine-learning-competitions", "kernel_id": "63375991"}, {"ref": "abuzararah/categorical-variables", "kernel_id": "63288248"}, {"ref": "abuzararah/exercise-introduction", "kernel_id": "63243354"}, {"ref": "abuzararah/exercise-missing-values", "kernel_id": "63244750"}, {"ref": "disonaur/exercise-random-forests", "kernel_id": "63242388"}, {"ref": "petroskaloudis/exercise-cross-validation", "kernel_id": "63839471"}, {"ref": "petroskaloudis/exercise-xgboost", "kernel_id": "63982638"}, {"ref": "petroskaloudis/exercise-data-leakage", "kernel_id": "63992351"}, {"ref": "gaelprograming/exercise-model-validation", "kernel_id": "63177755"}, {"ref": "kaderbouh/exercise-your-first-machine-learning-model", "kernel_id": "63471619"}, {"ref": "vthngcnguyn/exercise-machine-learning-competitions", "kernel_id": "63693658"}, {"ref": "vthngcnguyn/exercise-random-forests", "kernel_id": "63693311"}, {"ref": "vthngcnguyn/exercise-underfitting-and-overfitting", "kernel_id": "63691062"}, {"ref": "vthngcnguyn/exercise-model-validation", "kernel_id": "63685323"}, {"ref": "vthngcnguyn/exercise-your-first-machine-learning-model", "kernel_id": "63440348"}, {"ref": "nittsgh/data-leakage", "kernel_id": "64219360"}, {"ref": "ulvihasanov/exercise-machine-learning-competitions", "kernel_id": "64064337"}, {"ref": "yasirq/exercise-machine-learning-competitions", "kernel_id": "64340767"}, {"ref": "yasirq/exercise-missing-values", "kernel_id": "64370289"}, {"ref": "batrosjamali/exercise-machine-learning-competitions", "kernel_id": "64715082"}, {"ref": "thabisomokgete/exercise-introduction", "kernel_id": "64142108"}, {"ref": "devilbornfire/house-sales-prediction", "kernel_id": "64267184"}, {"ref": "displayed33/3-intermediate-machine-learning-6", "kernel_id": "64428788"}, {"ref": "baseershah/ensemble-perfection-manually-handled-missing-vals", "kernel_id": "64662693"}, {"ref": "yashsinghbedi/exercise-machine-learning-competitions", "kernel_id": "64720828"}, {"ref": "ahmad3029/exercise-categorical-variables", "kernel_id": "64186833"}, {"ref": "mohamedibrahim55/exercise-machine-learning-competitions", "kernel_id": "64310055"}, {"ref": "jibrilyahayajibril/house-price-prediction-model-using-mlr", "kernel_id": "64706531"}, {"ref": "irijabbutt/exercise-introduction", "kernel_id": "64505973"}, {"ref": "sahilsarda/exercise-machine-learning-competitions", "kernel_id": "64263735"}, {"ref": "surajsahkanu/exercise-machine-learning-competitions", "kernel_id": "64054456"}, {"ref": "kazloo/exercise-missing-values", "kernel_id": "64716580"}, {"ref": "kazloo/exercise-introduction", "kernel_id": "64715658"}, {"ref": "kazloo/exercise-machine-learning-competitions", "kernel_id": "64608468"}, {"ref": "kazloo/exercise-categorical-variables", "kernel_id": "64813897"}, {"ref": "kazloo/exercise-pipelines", "kernel_id": "64826509"}, {"ref": "owaisahsen/exercise-model-validation", "kernel_id": "64437615"}, {"ref": "owaisahsen/exercise-your-first-machine-learning-model", "kernel_id": "64437077"}, {"ref": "osmantuncel01/exercise-xgboost", "kernel_id": "64838799"}, {"ref": "aliehhassanzadeh/housing-prices-competition", "kernel_id": "64476456"}, {"ref": "apollinairemonteiro/exercise-machine-learning-competitions", "kernel_id": "64722655"}, {"ref": "haseebindata/randomforestregressor-model", "kernel_id": "64330908"}, {"ref": "haseebindata/exercise-missing-values", "kernel_id": "64295252"}, {"ref": "trinmat/exercise-missing-values", "kernel_id": "64393278"}, {"ref": "machinelearneryash69/exercise-machine-learning-competitions", "kernel_id": "64938725"}, {"ref": "chaoschako/house-prices-prediction-1-random-forest", "kernel_id": "64437600"}, {"ref": "anishakm/exercise-missing-values", "kernel_id": "64874911"}, {"ref": "kaderbouh/exercise-pipelines", "kernel_id": "64737562"}, {"ref": "kaderbouh/exercise-categorical-variables", "kernel_id": "64330778"}, {"ref": "kaderbouh/exercise-missing-values", "kernel_id": "64313871"}, {"ref": "kaderbouh/exercise-machine-learning-competitions", "kernel_id": "64310593"}, {"ref": "kaderbouh/exercise-random-forests", "kernel_id": "64309258"}, {"ref": "kaderbouh/exercise-underfitting-and-overfitting", "kernel_id": "64294448"}, {"ref": "kaderbouh/exercise-model-validation", "kernel_id": "64291661"}, {"ref": "shahzadmehdi151214/notebook7f2f536d71", "kernel_id": "64994612"}, {"ref": "tawiahin4k/exercise-introduction", "kernel_id": "64942990"}, {"ref": "aarambha/exercise-your-first-machine-learning-model", "kernel_id": "64854151"}, {"ref": "aarambha/exercise-model-validation", "kernel_id": "64917013"}, {"ref": "aditya2712/exercise-underfitting-and-overfitting", "kernel_id": "65402155"}, {"ref": "nikhilramlukan/top-10-house-prices", "kernel_id": "65739256"}, {"ref": "thuannguyenvu/notebooka9faf15b88", "kernel_id": "65288000"}, {"ref": "johannessaidi/exercise-missing-values", "kernel_id": "65121616"}, {"ref": "ojusjaiswal/exercise-model-validation", "kernel_id": "65866784"}, {"ref": "ojusjaiswal/exercise-underfitting-and-overfitting", "kernel_id": "65868506"}, {"ref": "ojusjaiswal/exercise-your-first-machine-learning-model", "kernel_id": "65819296"}, {"ref": "ojusjaiswal/exercise-machine-learning-competitions", "kernel_id": "65914967"}, {"ref": "ojusjaiswal/exercise-random-forests", "kernel_id": "65913314"}, {"ref": "mukeshkannav1/exercise-missing-values", "kernel_id": "65774565"}, {"ref": "mukeshkannav1/exercise-cross-validation", "kernel_id": "65776407"}, {"ref": "batyhec83/exercise-machine-learning-competitions", "kernel_id": "65560925"}, {"ref": "jeonyeongjin/exercise-machine-learning-competitions", "kernel_id": "65546731"}, {"ref": "nolapse/exercise-missing-values", "kernel_id": "65035940"}, {"ref": "nolapse/exercise-categorical-variables", "kernel_id": "65290746"}, {"ref": "ranjaken/exercise-your-first-machine-learning-model", "kernel_id": "65948736"}, {"ref": "jfung2005/fork-of-exercise-machine-learning-competitions", "kernel_id": "65745674"}, {"ref": "fikiro/exercise-random-forests", "kernel_id": "65081395"}, {"ref": "fikiro/exercise-underfitting-and-overfitting", "kernel_id": "65077427"}, {"ref": "adithyasn/exercise-machine-learning-competitions", "kernel_id": "65551227"}, {"ref": "owaisahsen/exercise-random-forests", "kernel_id": "65805770"}, {"ref": "owaisahsen/exercise-machine-learning-competitions", "kernel_id": "65805877"}, {"ref": "owaisahsen/exercise-underfitting-and-overfitting", "kernel_id": "65805449"}, {"ref": "karolinydaianacieply/house-machine-learning-competitions", "kernel_id": "65019275"}, {"ref": "anjueduminds/exercise-machine-learning-competitions", "kernel_id": "65269806"}, {"ref": "lmtinez/exercise-machine-learning-competitions", "kernel_id": "65716073"}, {"ref": "mixvn731/predict-housing-prices-with-ml-algorithms", "kernel_id": "65864474"}, {"ref": "amrzainhagag/exercise-machine-learning-competitions", "kernel_id": "65397998"}, {"ref": "fitwithbrain/exercise-machine-learning-competitions", "kernel_id": "65719191"}, {"ref": "lutfilailisalim/exercise-machine-learning-competitions", "kernel_id": "65207477"}, {"ref": "rajneeshzytox/exercise-machine-learning-competitions", "kernel_id": "65349500"}, {"ref": "jaimedfc/exercise-underfitting-and-overfitting", "kernel_id": "65722329"}, {"ref": "jaimedfc/exercise-random-forests", "kernel_id": "65722715"}, {"ref": "jaimedfc/exercise-machine-learning-competitions", "kernel_id": "65722912"}, {"ref": "jaimedfc/exercise-model-validation", "kernel_id": "65722120"}, {"ref": "mannpatira1/exercise-your-first-machine-learning-model", "kernel_id": "65670416"}, {"ref": "mannpatira1/exercise-model-validation", "kernel_id": "65670679"}, {"ref": "fardinpy/intermediate-ml-exercise5-cross-validation", "kernel_id": "66745495"}, {"ref": "fardinpy/intermediate-ml-exercise4-xgboost", "kernel_id": "66745170"}, {"ref": "cmendezmalaga/exercise-random-forests", "kernel_id": "66726230"}, {"ref": "ojusjaiswal/exercise-missing-values", "kernel_id": "66403236"}, {"ref": "ojusjaiswal/exercise-introduction", "kernel_id": "66399283"}, {"ref": "ojusjaiswal/exercise-data-leakage", "kernel_id": "66905608"}, {"ref": "ojusjaiswal/exercise-xgboost", "kernel_id": "66902233"}, {"ref": "ojusjaiswal/exercise-cross-validation", "kernel_id": "66778692"}, {"ref": "ojusjaiswal/exercise-categorical-variables", "kernel_id": "66728511"}, {"ref": "ojusjaiswal/exercise-pipelines", "kernel_id": "66776603"}, {"ref": "mdiftekharmahmud/exercise-random-forests", "kernel_id": "66896784"}, {"ref": "ezequielalvessoares/exercise-xgboost", "kernel_id": "66575060"}, {"ref": "ezequielalvessoares/exercise-missing-values", "kernel_id": "66015824"}, {"ref": "hashirsaudkhan/exercise-machine-learning-competitions", "kernel_id": "66719720"}, {"ref": "janvisonkusare/exercise-machine-learning-competitions", "kernel_id": "66025704"}, {"ref": "tanveeryounas45/tanveer-younas-ml-exercise-3", "kernel_id": "66399469"}, {"ref": "roqayyeh/exercise-machine-learning-competitions", "kernel_id": "66859820"}, {"ref": "recepbattal/exercise-pipelines", "kernel_id": "66809418"}, {"ref": "sandygcdsa/exercise-machine-learning-competitions", "kernel_id": "66755787"}, {"ref": "anasenpai/exercise-your-first-machine-learning-model", "kernel_id": "66090617"}, {"ref": "rianaazad/intro-to-ml-exercise-competitions", "kernel_id": "66726656"}, {"ref": "rianaazad/intro-to-ml-exercise3-model-validation", "kernel_id": "66726096"}, {"ref": "rianaazad/intro-to-ml-exercise5-random-forest", "kernel_id": "66726554"}, {"ref": "rianaazad/intro-to-ml-exercise4-underfitting-overfitting", "kernel_id": "66726309"}, {"ref": "rianaazad/intro-to-ml-exercise2-first-mlmodel", "kernel_id": "66722851"}, {"ref": "metinhsimimi/advanced-house-price", "kernel_id": "66240813"}, {"ref": "utkarshshukla070/exercise-categorical-variables", "kernel_id": "66676820"}, {"ref": "abdelhakbenbouziane/notebookdfc4ca2402", "kernel_id": "66508929"}, {"ref": "vanshikareja/exercise-machine-learning-competitions", "kernel_id": "66023676"}, {"ref": "uridarom/exercise-machine-learning-competitions", "kernel_id": "66955392"}, {"ref": "mehboobkhan36/top-1-housing-price-eda-random-for-everyone", "kernel_id": "66345097"}, {"ref": "navitago/exercise-model-validation", "kernel_id": "66316291"}, {"ref": "navitago/exercise-machine-learning-competitions", "kernel_id": "66331293"}, {"ref": "hellomikewalker/exercise-machine-learning-competitions", "kernel_id": "67723133"}, {"ref": "addygaur/exercise-xgboost", "kernel_id": "67452597"}, {"ref": "ezequielalvessoares/previs-es-teste-das-casas", "kernel_id": "67330718"}, {"ref": "srj321/exercise-machine-learning-competitions", "kernel_id": "67365935"}, {"ref": "libamariyam/exercise-model-validation", "kernel_id": "67330366"}, {"ref": "ibrahimtanvir/exercise-random-forests", "kernel_id": "67526424"}, {"ref": "ibrahimtanvir/exercise-machine-learning-competitions", "kernel_id": "67528201"}, {"ref": "ibrahimtanvir/exercise-underfitting-and-overfitting", "kernel_id": "67287913"}, {"ref": "ibrahimtanvir/exercise-model-validation", "kernel_id": "67286231"}, {"ref": "ibrahimtanvir/exercise-your-first-machine-learning-model", "kernel_id": "67282869"}, {"ref": "gownikranthikumar/notebook476f1f23ca", "kernel_id": "67214215"}, {"ref": "vaidehi14/house-price-prediction-random-forest-xgboost", "kernel_id": "67307430"}, {"ref": "rohanvarma9187/xgboost", "kernel_id": "67146967"}, {"ref": "gauravlikesdata/exercise-missing-values", "kernel_id": "67580918"}, {"ref": "waheedhussain2/exercise-random-forests", "kernel_id": "67175926"}, {"ref": "waheedhussain2/exercise-xgboost", "kernel_id": "67204076"}, {"ref": "manhdodz249/housing-price", "kernel_id": "67999198"}, {"ref": "chriswizzle/pipelines", "kernel_id": "67594969"}, {"ref": "wonderbediako/exercise-machine-learning-competitions", "kernel_id": "67843872"}, {"ref": "imthebaron/kaggle-learn-housing-prices", "kernel_id": "67109506"}, {"ref": "mister2005/exercise-2-your-first-machine-learning-model", "kernel_id": "67137436"}, {"ref": "mister2005/exercise-3-model-validation", "kernel_id": "67159593"}, {"ref": "hoangphuctran1998hpt/exercise-introduction", "kernel_id": "67897578"}, {"ref": "nnennaeze/exercise-machine-learning-competitions", "kernel_id": "67222195"}, {"ref": "owaisraza01/exercise-your-first-machine-learning-model", "kernel_id": "67229318"}, {"ref": "manueldolorescruz/exercise-machine-learning-competitions", "kernel_id": "67363406"}, {"ref": "ghalitad/house-price-prediction-gbr", "kernel_id": "68084208"}, {"ref": "abdullapathan/housing-price-competition", "kernel_id": "68523312"}, {"ref": "nawarajpaudel/notebook8c894bd3d2", "kernel_id": "68966066"}, {"ref": "marcelobatalhah/house-prediction-learning-session", "kernel_id": "68522260"}, {"ref": "marcelobatalhah/imputer-learning-house-prediction", "kernel_id": "68599243"}, {"ref": "marcelobatalhah/house-prediction-with-randomforestregressor", "kernel_id": "68598796"}, {"ref": "kominz/some-prediction", "kernel_id": "68671183"}, {"ref": "marissawagner/exercise-random-forests", "kernel_id": "68219888"}, {"ref": "marissawagner/exercise-your-first-machine-learning-model", "kernel_id": "68218789"}, {"ref": "marissawagner/exercise-model-validation", "kernel_id": "68219312"}, {"ref": "marissawagner/exercise-underfitting-and-overfitting", "kernel_id": "68219626"}, {"ref": "sujansupraj2000/excercise-with-parameter-tuning", "kernel_id": "68014774"}, {"ref": "karahanos/exercise-missing-values", "kernel_id": "68704161"}, {"ref": "masanoo/exercise-machine-learning-competitions", "kernel_id": "68133083"}, {"ref": "pradeepjangirml007/exercise-categorical-variables", "kernel_id": "68003910"}, {"ref": "chaitrasamant/exercise-your-first-machine-learning-model", "kernel_id": "68926557"}, {"ref": "hoangphuctran1998hpt/exercise-categorical-variables", "kernel_id": "68574823"}, {"ref": "sunskyhe/house-price-prediction", "kernel_id": "68476430"}, {"ref": "nancyaparekh/exercise-your-first-machine-learning-model", "kernel_id": "68505352"}, {"ref": "uzairyounas/exercise-machine-learning-competitions", "kernel_id": "68291221"}, {"ref": "amarachiugwuchukwu/exercise-machine-learning-competitions", "kernel_id": "69260765"}, {"ref": "hazemmathbout/exercise-machine-learning-competitions", "kernel_id": "69026754"}, {"ref": "mukeli/exercise-your-first-machine-learning-model", "kernel_id": "69414378"}, {"ref": "mukeli/exercise-random-forests", "kernel_id": "69755987"}, {"ref": "mukeli/exercise-model-validation", "kernel_id": "69489329"}, {"ref": "sarcasmbabachannel/exercise-data-leakage", "kernel_id": "69907710"}, {"ref": "idriskoladeaderoju/exercise-machine-learning-competitions", "kernel_id": "69574079"}, {"ref": "m0hamedsaber/exercise-underfitting-and-overfitting", "kernel_id": "69544618"}, {"ref": "m0hamedsaber/exercise-random-forests", "kernel_id": "69547228"}, {"ref": "m0hamedsaber/exercise-machine-learning-competitions", "kernel_id": "69547432"}, {"ref": "m0hamedsaber/exercise-your-first-machine-learning-model", "kernel_id": "69279306"}, {"ref": "m0hamedsaber/exercise-model-validation", "kernel_id": "69280144"}, {"ref": "marissawagner/exercise-machine-learning-competitions", "kernel_id": "69363065"}, {"ref": "inarailean/exercise-xgboost", "kernel_id": "69773648"}, {"ref": "anisbak/exercise-machine-learning-competitions", "kernel_id": "69600466"}, {"ref": "adnanalsiyabi/exercise-missing-values", "kernel_id": "69286812"}, {"ref": "codewithdark/exercise-categorical-variables", "kernel_id": "69729253"}, {"ref": "codewithdark/exercise-pipelines", "kernel_id": "69803054"}, {"ref": "codewithdark/exercise-introduction", "kernel_id": "69573799"}, {"ref": "codewithdark/exercise-missing-values", "kernel_id": "69643875"}, {"ref": "fatimahss/exercise-your-first-machine-learning-model", "kernel_id": "69406650"}, {"ref": "fatimahss/exercise-model-validation", "kernel_id": "69407741"}, {"ref": "fatimahss/exercise-underfitting-and-overfitting", "kernel_id": "69408159"}, {"ref": "fatimahss/exercise-random-forests", "kernel_id": "69409299"}, {"ref": "fatimahss/exercise-machine-learning-competitions", "kernel_id": "69409338"}, {"ref": "dominicafoakwah/house-price-prediction-competition", "kernel_id": "69037342"}, {"ref": "manarbouras/exercise-categorical-variables", "kernel_id": "69573348"}, {"ref": "sabra15/exercise-machine-learning-competitions", "kernel_id": "69592783"}, {"ref": "annakuprym/exercise-cross-validation", "kernel_id": "69859708"}, {"ref": "jeannicaralava/exercise-machine-learning-competitions", "kernel_id": "69778890"}, {"ref": "uzairdev1/exercise-your-first-machine-learning-model", "kernel_id": "69274959"}, {"ref": "uzairdev1/exercise-model-validation", "kernel_id": "69322008"}, {"ref": "uzairdev1/exercise-random-forests", "kernel_id": "69362808"}, {"ref": "uzairdev1/exercise-machine-learning-competitions", "kernel_id": "69362976"}, {"ref": "uzairdev1/exercise-underfitting-and-overfitting", "kernel_id": "69362281"}, {"ref": "abdullahiqbal599/exercise-random-forests", "kernel_id": "69504191"}, {"ref": "abdullahiqbal599/exercise-machine-learning-competitions", "kernel_id": "69505693"}, {"ref": "abdullahiqbal599/exercise-model-validation", "kernel_id": "69333344"}, {"ref": "abdullahiqbal599/exercise-underfitting-and-overfitting", "kernel_id": "69425846"}, {"ref": "abdullahiqbal599/exercise-your-first-machine-learning-model", "kernel_id": "69169988"}, {"ref": "arturklauser/exercise-deep-learning", "kernel_id": "69624669"}, {"ref": "denisstartsev/exercise-introduction", "kernel_id": "69284981"}, {"ref": "akshaypai01/exercise-machine-learning-competitions", "kernel_id": "69316313"}, {"ref": "shanaiadsilva/housingprices", "kernel_id": "69985398"}, {"ref": "shanaiadsilva/exercise-your-first-machine-learning-model", "kernel_id": "69982373"}, {"ref": "junpitosalim/exercise-introduction", "kernel_id": "70157121"}, {"ref": "joeprogram/exercise-model-validation", "kernel_id": "70107842"}, {"ref": "gandemnitin/house-price-prediction-trail-2", "kernel_id": "70007380"}, {"ref": "adebolarabiu/exercise-xgboost", "kernel_id": "70455877"}, {"ref": "ansarisaad/exercise-your-first-machine-learning-model", "kernel_id": "70796528"}, {"ref": "codewithdark/exercise-data-leakage", "kernel_id": "70148177"}, {"ref": "codewithdark/exercise-cross-validation", "kernel_id": "70019073"}, {"ref": "codewithdark/exercise-xgboost", "kernel_id": "70068990"}, {"ref": "fatimasekri/exercise-machine-learning-competitions", "kernel_id": "70724727"}, {"ref": "tinflorek/house-predictions", "kernel_id": "70432669"}, {"ref": "ldausl/exercise-machine-learning-competitions", "kernel_id": "70338484"}, {"ref": "ldausl/exercise-random-forests", "kernel_id": "70335579"}, {"ref": "ldausl/exercise-underfitting-and-overfitting", "kernel_id": "70334504"}, {"ref": "ldausl/exercise-model-validation", "kernel_id": "70333619"}, {"ref": "amjadsharifrizwan/top-1-housing-price-eda-random-for-everyone", "kernel_id": "70186928"}, {"ref": "swapnilkumarkhedkar/exercise-introduction", "kernel_id": "70192329"}, {"ref": "charoonroj/exercise-categorical-variables", "kernel_id": "70405891"}, {"ref": "leenalhazmi/our-project", "kernel_id": "70962488"}, {"ref": "mazenwaelfawzy/exercise-your-first-machine-learning-model", "kernel_id": "70451054"}, {"ref": "danielwilliams0007/exercise-your-first-machine-learning-model", "kernel_id": "70852144"}, {"ref": "nadezhda2019/ensembles-tasks", "kernel_id": "71924080"}, {"ref": "kundansinghmourya/ml-competitions-eda-house-price-prediction", "kernel_id": "71685949"}, {"ref": "priandshe/exercise-random-forests", "kernel_id": "71187479"}, {"ref": "yogaamandaputra/exercise-introduction", "kernel_id": "71293834"}, {"ref": "dostonur/exercise-categorical-variables", "kernel_id": "71828090"}, {"ref": "dostonur/exercise-pipelines", "kernel_id": "71978117"}, {"ref": "dostonur/exercise-data-leakage", "kernel_id": "71979826"}, {"ref": "dostonur/exercise-cross-validation", "kernel_id": "71978736"}, {"ref": "dostonur/exercise-xgboost", "kernel_id": "71979355"}, {"ref": "prathameshvaidya07/notebook5d5611af8c", "kernel_id": "71708057"}, {"ref": "chamodajayamini/house-price-predictions", "kernel_id": "71946584"}, {"ref": "sandyg6/housing-prices-competition", "kernel_id": "71920448"}, {"ref": "saharnazyaghoobpoor/exercise-missing-values", "kernel_id": "71286694"}, {"ref": "ansarisaad/exercise-random-forests", "kernel_id": "71707311"}, {"ref": "ansarisaad/exercise-model-validation", "kernel_id": "71706838"}, {"ref": "ansarisaad/exercise-underfitting-and-overfitting", "kernel_id": "71707120"}, {"ref": "ansarisaad/exercise-machine-learning-competitions", "kernel_id": "71707422"}, {"ref": "nurrrcahyo/exercise-machine-learning-competitions", "kernel_id": "71053356"}, {"ref": "kabilesh45/housing-prediction-competition", "kernel_id": "71708808"}, {"ref": "angchekar/exercise-machine-learning-competitions", "kernel_id": "71603403"}, {"ref": "adityasinghthakur5/exercise-machine-learning-competitions", "kernel_id": "71451600"}, {"ref": "apirukainthachak/exercise-categorical-variables", "kernel_id": "71124023"}, {"ref": "apirukainthachak/exercise-xgboost", "kernel_id": "71304226"}, {"ref": "ldausl/exercise-xgboost", "kernel_id": "71695740"}, {"ref": "ldausl/exercise-data-leakage", "kernel_id": "71802610"}, {"ref": "nasratullahshafiq/exercise-your-first-machine-learning-model", "kernel_id": "71306370"}, {"ref": "nasratullahshafiq/exercise-machine-learning-competitions", "kernel_id": "71306604"}, {"ref": "sharwarighadge/exercise-categorical-variables", "kernel_id": "71811257"}, {"ref": "gilbertobotasjr/exercise-machine-learning-competitions", "kernel_id": "71195326"}, {"ref": "namanzelawat/house-price-prediction", "kernel_id": "72696766"}, {"ref": "nacernacer/machine-learning-introduction", "kernel_id": "72850773"}, {"ref": "nacernacer/machine-learning-missing-values", "kernel_id": "72852596"}, {"ref": "nacernacer/machine-learning-categorical-variables", "kernel_id": "72853217"}, {"ref": "ahmedmaher22/house-prediction", "kernel_id": "72518345"}, {"ref": "blackdragonk333/exercise-machine-learning-competitions", "kernel_id": "72203606"}, {"ref": "victorbergmann/exercise-categorical-variables", "kernel_id": "72516105"}, {"ref": "shiveshprakash/house-price", "kernel_id": "72675797"}, {"ref": "abdelhakkana/top-6-numerical-features-only", "kernel_id": "72853805"}, {"ref": "ahmedghonem01/exercise-machine-learning-competitions", "kernel_id": "72492455"}, {"ref": "ahmedghonem01/exercise-random-forests", "kernel_id": "72492200"}, {"ref": "aulagnier/price-prediction", "kernel_id": "72460566"}, {"ref": "priyagurjar198922/housing-price-notebook", "kernel_id": "72823902"}, {"ref": "adityaakuskar/exercise-your-first-machine-learning-model", "kernel_id": "72109767"}, {"ref": "adityaakuskar/exercise-random-forests", "kernel_id": "72113168"}, {"ref": "adityaakuskar/exercise-model-validation", "kernel_id": "72057458"}, {"ref": "juhenfw/improved-housing-price", "kernel_id": "72983445"}, {"ref": "aronbisrat/your-first-machine-learning-model", "kernel_id": "72268065"}, {"ref": "chinmayupradhan/exercise-missing-values", "kernel_id": "72204187"}, {"ref": "musakaleemrana/exercise-machine-learning-competitions", "kernel_id": "72004565"}, {"ref": "musakaleemrana/exercise-missing-values", "kernel_id": "72010450"}, {"ref": "gaelprograming/exercise-introduction", "kernel_id": "72513011"}, {"ref": "kingatif/top-1-housing-price-eda-random-for-everyone", "kernel_id": "72711070"}, {"ref": "mohammadarjomand/exercise-machine-learning-model-1", "kernel_id": "72560522"}, {"ref": "mohammadarjomand/exercise-pipelines", "kernel_id": "72860543"}, {"ref": "mohammadarjomand/exercise-categorical-variables", "kernel_id": "72762339"}, {"ref": "mohammadarjomand/exercise-missing-values", "kernel_id": "72723689"}, {"ref": "mohammadarjomand/exercise-machine-learning-competitions", "kernel_id": "72653819"}, {"ref": "trixmixing1ai/exercise-your-first-machine-learning-model", "kernel_id": "72964319"}, {"ref": "nijeshbhaskaran/exercise-machine-learning-competitions-nj", "kernel_id": "72221702"}, {"ref": "abdullahiqbal599/exercise-introduction", "kernel_id": "72512068"}, {"ref": "rohitkumar1103/exercise-machine-learning-competitions", "kernel_id": "72055047"}, {"ref": "erimsaholut/exercise-your-first-machine-learning-model", "kernel_id": "72529929"}, {"ref": "erimsaholut/exercise-model-validation", "kernel_id": "72579114"}, {"ref": "erimsaholut/exercise-random-forests", "kernel_id": "72689747"}, {"ref": "gustavom01/building-your-model", "kernel_id": "72715609"}, {"ref": "rokib098/notebook1d95b24cce", "kernel_id": "72941457"}, {"ref": "yevheniilytvynenko95/exercise-machine-learning-competitions", "kernel_id": "72872489"}, {"ref": "halilyaman/exercise-your-first-machine-learning-model", "kernel_id": "73371873"}, {"ref": "carlosmatos97/housepriceswithgraphs", "kernel_id": "73289868"}, {"ref": "achimw/catboost-for-predicting-housing-prices", "kernel_id": "73489235"}, {"ref": "alokeveermondal/my-first-catboost-regressor-gives-mae-13871", "kernel_id": "73613457"}, {"ref": "rajaakashyap/house-price-prediction", "kernel_id": "73757428"}, {"ref": "carlacotas/exercise-pipelines", "kernel_id": "73634494"}, {"ref": "carlacotas/exercise-missing-values", "kernel_id": "73166515"}, {"ref": "rahatrahmanrumi/exercise-missing-values", "kernel_id": "73685409"}, {"ref": "andhikakukuh/prediction-house-prices-for-kaggle-learn-users", "kernel_id": "73659146"}, {"ref": "emmanuelabada/exercise-machine-learning-competitions", "kernel_id": "73839715"}, {"ref": "avdheshgaur1/using-column-transformers-car-price-prediction", "kernel_id": "73639996"}, {"ref": "apoorvgiriya/housingprediction-competition", "kernel_id": "73033601"}, {"ref": "nahian00777/house-price-prediction-with-regression-models", "kernel_id": "73849211"}, {"ref": "lainguyn123/house-prices-predictions", "kernel_id": "73747571"}, {"ref": "sameerpsr/exercise-machine-learning-competitions", "kernel_id": "73943098"}, {"ref": "faizantanveeer/exercise-missing-values", "kernel_id": "73761764"}, {"ref": "faizantanveeer/exercise-introduction", "kernel_id": "73760664"}, {"ref": "abdelhakkana/top-2", "kernel_id": "73024083"}, {"ref": "sojibbhattacharjee/assro-assignment-house-price", "kernel_id": "73799235"}, {"ref": "juslu24/gradient-boosted-notebook", "kernel_id": "73507842"}, {"ref": "mohamadshukry/housing-prices", "kernel_id": "73958790"}, {"ref": "arunabhapani/house-price-prediction-basic", "kernel_id": "73591477"}, {"ref": "shitichowdhury/housing-prices-competition-ml-models", "kernel_id": "73888160"}, {"ref": "mehreenrahman/housing-prices-prediction", "kernel_id": "73846758"}, {"ref": "anirbanc2004/exercise-missing-values", "kernel_id": "73624244"}, {"ref": "nisschaykhandelwal/housing-price", "kernel_id": "73369074"}, {"ref": "ramisashararnidhi/exercise-your-first-machine-learning-model", "kernel_id": "73660894"}, {"ref": "ramisashararnidhi/exercise-model-validation", "kernel_id": "73660903"}, {"ref": "ramisashararnidhi/exercise-underfitting-and-overfitting", "kernel_id": "73660912"}, {"ref": "ramisashararnidhi/exercise-random-forests", "kernel_id": "73660932"}, {"ref": "ramisashararnidhi/exercise-machine-learning-competitions", "kernel_id": "73660944"}, {"ref": "eslamsharoud/exercise-machine-learning-competitions", "kernel_id": "73564714"}, {"ref": "shreysharma07/house-price-predictions", "kernel_id": "73164935"}, {"ref": "whatthedatahastotell/exercise-introduction", "kernel_id": "73908736"}, {"ref": "whatthedatahastotell/exercise-missing-values", "kernel_id": "73962976"}, {"ref": "lethanaf/house-saleprice-prediction", "kernel_id": "73758282"}, {"ref": "ahmednaeembhuri/exercise-machine-learning-competitions", "kernel_id": "73768826"}, {"ref": "datacurius/exercise-model-validation", "kernel_id": "73824563"}, {"ref": "datacurius/exercise-underfitting-and-overfitting", "kernel_id": "73825161"}, {"ref": "datacurius/exercise-random-forests", "kernel_id": "73825279"}, {"ref": "chengliucheng/exercise-machine-learning-competitions", "kernel_id": "73615094"}, {"ref": "muskantariq/exercise-your-first-machine-learning-model", "kernel_id": "73585004"}, {"ref": "gaelprograming/exercise-pipelines", "kernel_id": "73623949"}, {"ref": "gaelprograming/exercise-categorical-variables", "kernel_id": "73477770"}, {"ref": "gaelprograming/exercise-missing-values", "kernel_id": "73442052"}, {"ref": "nphacks/exercise-machine-learning-competitions", "kernel_id": "73054369"}, {"ref": "mohammadarjomand/exercise-data-leakage", "kernel_id": "73489894"}, {"ref": "olimsuyunboyev/house-price-prediction-by-olim", "kernel_id": "73568518"}, {"ref": "tahfimjuwel/housing-prices-competition", "kernel_id": "73875897"}, {"ref": "fairojtasnimruhi/fairoj-housing-prices", "kernel_id": "73907999"}, {"ref": "sciyeash/house-price-competetion-yeash", "kernel_id": "73895108"}, {"ref": "fawadmughal/house-price-prediction", "kernel_id": "73671019"}, {"ref": "narinaz/exercise-missing-values", "kernel_id": "73825877"}, {"ref": "hasaanrana/exercise-your-first-machine-learning-model", "kernel_id": "73970050"}, {"ref": "vanshkhandelwal5627/housing-prices", "kernel_id": "73772052"}, {"ref": "stanleyibeabuchiarua/exercise-categorical-variables", "kernel_id": "73794356"}, {"ref": "eeyldrm/house-price-analysis-2", "kernel_id": "73892375"}, {"ref": "hibiki44da/notebook8221798dc6", "kernel_id": "73469220"}, {"ref": "ufaniee/exercise-machine-learning-competitions", "kernel_id": "73982220"}, {"ref": "sarathchandrakaja/exercise-model-validation", "kernel_id": "73979595"}, {"ref": "yevheniilytvynenko95/exercise-introduction", "kernel_id": "73055282"}, {"ref": "alicanaksu/saleprice-prediction-with-keras", "kernel_id": "73541329"}, {"ref": "jaysurender/exercise-underfitting-and-overfitting", "kernel_id": "73844217"}, {"ref": "olaflundstrom/basic-data-exploration-testing", "kernel_id": "73836496"}, {"ref": "cristinuca/ames-housing-pricing", "kernel_id": "74187598"}, {"ref": "vsrivast/ml-models-home-prediction-english-comments", "kernel_id": "74091568"}, {"ref": "magiciggle/house-prices-lr", "kernel_id": "74633323"}, {"ref": "minealsan/exercise-machine-learning-competitions", "kernel_id": "74157621"}, {"ref": "atharezzeldin/housing-prices-competition-randomforest", "kernel_id": "74082427"}, {"ref": "luiscrmartins/housing-prices-using-random-forest-regressor", "kernel_id": "74612265"}, {"ref": "everythingcanbedone/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "74853784"}, {"ref": "mathumithag/house-price-prediction", "kernel_id": "74148478"}, {"ref": "calebboen/housing-price-competition", "kernel_id": "74265292"}, {"ref": "chrismorgan86/exercise-your-first-machine-learning-model", "kernel_id": "74633674"}, {"ref": "heerthirajah/exercise-machine-learning-competitions", "kernel_id": "74898251"}, {"ref": "soumyabaddham/exercise-missing-values", "kernel_id": "74920327"}, {"ref": "edricoseptianelyazar/exercise-your-first-machine-learning-model", "kernel_id": "74587143"}, {"ref": "kdoof4/final-ml-advanced-bt1", "kernel_id": "74698649"}, {"ref": "kdoof4/ml-advanced-bt1", "kernel_id": "74331636"}, {"ref": "rituranjan21/housing-prices-123", "kernel_id": "74910301"}, {"ref": "samanyuk/house-price", "kernel_id": "74125033"}, {"ref": "rachmatfaisalm/house-pricing-ensemble-learning", "kernel_id": "74155865"}, {"ref": "mmrrcc/housing-prices-prediction", "kernel_id": "74081359"}, {"ref": "varunpenumudi/pytorch-housing-prices", "kernel_id": "74947975"}, {"ref": "ggosinond/ml-advanced-bt1-final", "kernel_id": "74658154"}, {"ref": "ggosinond/ml-advanced-bt1", "kernel_id": "74531940"}, {"ref": "m1z2n3r4a5/price-prediction-model", "kernel_id": "74576554"}, {"ref": "m1z2n3r4a5/your-first-machine-learning-model", "kernel_id": "74567380"}, {"ref": "syhrull/house-pricing-regression", "kernel_id": "74779652"}, {"ref": "sejbarshikar/house-price-prediction", "kernel_id": "74910364"}, {"ref": "fizzamehar/house-price-prediction", "kernel_id": "74567556"}, {"ref": "dwikifebr/exercise-machine-learning-competitions", "kernel_id": "74942703"}, {"ref": "meghdeb2xx5/exercise-machine-learning-competitions", "kernel_id": "74350739"}, {"ref": "meghdeb2xx5/exercise-categorical-variables", "kernel_id": "74353386"}, {"ref": "tejast23/comparing-different-models-randomforest-lr-xgb", "kernel_id": "74435918"}, {"ref": "atefemahdaviadel/exercise-missing-values", "kernel_id": "74681336"}, {"ref": "atefemahdaviadel/notebook0bfdf91d1e", "kernel_id": "74214583"}, {"ref": "eduardoalvesferreira/exercise-model-validation", "kernel_id": "74336905"}, {"ref": "utkarshtripathishrey/exercise-xgboost", "kernel_id": "74541166"}, {"ref": "whatthedatahastotell/exercise-random-forests", "kernel_id": "74512521"}, {"ref": "whatthedatahastotell/exercise-machine-learning-competitions", "kernel_id": "74513118"}, {"ref": "whatthedatahastotell/exercise-underfitting-and-overfitting", "kernel_id": "74469448"}, {"ref": "whatthedatahastotell/exercise-your-first-machine-learning-model", "kernel_id": "74353396"}, {"ref": "whatthedatahastotell/exercise-model-validation", "kernel_id": "74415795"}, {"ref": "whatthedatahastotell/exercise-xgboost", "kernel_id": "74171911"}, {"ref": "whatthedatahastotell/exercise-data-leakage", "kernel_id": "74238937"}, {"ref": "whatthedatahastotell/exercise-cross-validation", "kernel_id": "74045764"}, {"ref": "datacurius/exercise-your-first-machine-learning-model", "kernel_id": "74324617"}, {"ref": "hsnhamurcu/housing-price", "kernel_id": "74151688"}, {"ref": "umehabibaakbarali/house-pricing-predicition", "kernel_id": "74567621"}, {"ref": "anacpricciardi/exercise-missing-values-f2248a", "kernel_id": "74351269"}, {"ref": "anacpricciardi/exploratory-data-analysis-salesprice", "kernel_id": "74334409"}, {"ref": "anacpricciardi/exercise-your-first-machine-learning-model", "kernel_id": "74165639"}, {"ref": "anacpricciardi/exercise-model-validation", "kernel_id": "74166588"}, {"ref": "anacpricciardi/exercise-random-forests", "kernel_id": "74167581"}, {"ref": "anacpricciardi/your-first-machine-learning-model", "kernel_id": "74239295"}, {"ref": "anacpricciardi/random-forests", "kernel_id": "74238386"}, {"ref": "anacpricciardi/basic-data-exploration", "kernel_id": "74236973"}, {"ref": "ricoregfdf/assesment-1", "kernel_id": "74372649"}, {"ref": "ricoregfdf/ai-assesment-2", "kernel_id": "74661993"}, {"ref": "asirahbabraiyan/exercise-machine-learning-competitions", "kernel_id": "74337887"}, {"ref": "nikolayspsov/exercise-pipelines", "kernel_id": "74036135"}, {"ref": "trixmixing1ai/exercise-underfitting-and-overfitting", "kernel_id": "74802395"}, {"ref": "trixmixing1ai/exercise-random-forests", "kernel_id": "74802627"}, {"ref": "trixmixing1ai/exercise-machine-learning-competitions", "kernel_id": "74802898"}, {"ref": "trixmixing1ai/exercise-model-validation", "kernel_id": "74775496"}, {"ref": "trixmixing1ai/exercise-missing-values", "kernel_id": "74858939"}, {"ref": "trixmixing1ai/exercise-categorical-variables", "kernel_id": "74860570"}, {"ref": "trixmixing1ai/exercise-pipelines", "kernel_id": "74860688"}, {"ref": "khubaibilyas/exercise-your-first-machine-learning-model", "kernel_id": "74277590"}, {"ref": "thanhphamhcmus/ml-advanced-bt1", "kernel_id": "74573616"}, {"ref": "thanhphamhcmus/house-pricing-alert", "kernel_id": "74402061"}, {"ref": "thebippu/house-price-prediction-finding-mae", "kernel_id": "74791788"}, {"ref": "mehul018/exercise-missing-values", "kernel_id": "74512631"}, {"ref": "elifgyuler/machine-learning-models-comparison-home-prediction", "kernel_id": "74060351"}, {"ref": "chandikasarkar/exercise-your-first-machine-learning-model", "kernel_id": "74821918"}, {"ref": "chandikasarkar/model-validation", "kernel_id": "74822873"}, {"ref": "chandikasarkar/exercise-introduction", "kernel_id": "74920848"}, {"ref": "chandikasarkar/exercise-underfitting-and-overfitting", "kernel_id": "74873191"}, {"ref": "hardikharsh/housing-prices-predicting-model", "kernel_id": "74625068"}, {"ref": "soheesoso/exercise-your-first-machine-learning-model", "kernel_id": "74942146"}, {"ref": "soheesoso/exercise-model-validation", "kernel_id": "74995301"}, {"ref": "navkaransing/notebook1bfea30d10", "kernel_id": "74961659"}, {"ref": "ebythomass/exercise-categorical-variables", "kernel_id": "74959017"}, {"ref": "egegenc/exercise-pipelines", "kernel_id": "74332639"}, {"ref": "khanovaish/exercise-introduction", "kernel_id": "74191162"}, {"ref": "lerhongyong/exercise-random-forests", "kernel_id": "74080125"}, {"ref": "lerhongyong/exercise-underfitting-and-overfitting", "kernel_id": "74079432"}, {"ref": "wanwenchen/exercise-machine-learning-competitions", "kernel_id": "74140227"}, {"ref": "wanwenchen/exercise-underfitting-and-overfitting", "kernel_id": "74136591"}, {"ref": "amirulrashdan/exercise-machine-learning-competitions", "kernel_id": "74938317"}, {"ref": "ritugpt/housing-competition-submission", "kernel_id": "74461996"}, {"ref": "florahweni/notebook3422e4d904", "kernel_id": "74035334"}, {"ref": "bmhall79/housing-prices-predictions", "kernel_id": "74648466"}, {"ref": "manish2604/notebookcb9517866d", "kernel_id": "74898468"}, {"ref": "aumiidutta/exercise-your-first-machine-learning-model", "kernel_id": "74819417"}, {"ref": "aumiidutta/exercise-model-validation", "kernel_id": "74868239"}, {"ref": "aumiidutta/exercise-underfitting-and-overfitting", "kernel_id": "74871534"}, {"ref": "baarantess8/multiple-linear-regression", "kernel_id": "74928051"}, {"ref": "baarantess8/housing-prices-univariate-linear-regression", "kernel_id": "74827405"}, {"ref": "greenguber/ames-housing-pricing", "kernel_id": "74786045"}, {"ref": "dinolcastelino/exercise-underfitting-and-overfitting", "kernel_id": "74856873"}, {"ref": "dipiconnect6/house-price-prediction-linear-regression", "kernel_id": "74986347"}, {"ref": "compltchnist/study-group-dataphilly", "kernel_id": "75966734"}, {"ref": "martaarroyo/housing-prices-session", "kernel_id": "75265544"}, {"ref": "mattkarenbauer/kaggle-house-prices-competition", "kernel_id": "75369900"}, {"ref": "raviprakash22/house-price-prediction", "kernel_id": "75408145"}, {"ref": "adithyachalla/exercise-machine-learning-competitions", "kernel_id": "75437132"}, {"ref": "adithyachalla/house-price-prediction-eda", "kernel_id": "75442161"}, {"ref": "vincentpereira/exercise-random-forests", "kernel_id": "75325900"}, {"ref": "vincentpereira/exercise-machine-learning-competitions", "kernel_id": "75326095"}, {"ref": "vincentpereira/exercise-model-validation", "kernel_id": "75197717"}, {"ref": "vincentpereira/exercise-underfitting-and-overfitting", "kernel_id": "75200798"}, {"ref": "vincentpereira/exercise-your-first-machine-learning-model", "kernel_id": "75148397"}, {"ref": "vincentpereira/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "75432183"}, {"ref": "mathieuduverne/housing-prices-competition", "kernel_id": "75629671"}, {"ref": "breyolinfebi/house-price-prediction", "kernel_id": "75985773"}, {"ref": "michaorlewski/ames-housing-prices-prediction-top-50", "kernel_id": "75740183"}, {"ref": "gurramgopichandh/house-hold-prediction", "kernel_id": "75203495"}, {"ref": "jasonlloyd/house-price-competition", "kernel_id": "75156117"}, {"ref": "mehreengillani/house-price-prediction", "kernel_id": "75275302"}, {"ref": "sehilichamseddine/linearregresionsimple", "kernel_id": "75757099"}, {"ref": "ganeshreddy0616/house-price-with-random-forest-gridsearchcv", "kernel_id": "75310766"}, {"ref": "edricoseptianelyazar/exercise-machine-learning-competitions", "kernel_id": "75838652"}, {"ref": "sinanyava/exercise-introduction", "kernel_id": "75136043"}, {"ref": "mansibali/exercise-machine-learning-competitions", "kernel_id": "75127652"}, {"ref": "arpankrde/exercise-categorical-variables", "kernel_id": "75235269"}, {"ref": "ambersabeen/exercise-missing-values", "kernel_id": "75718338"}, {"ref": "brianolave/exercise-machine-learning-competitions", "kernel_id": "75633944"}, {"ref": "brianolave/exercise-random-forests", "kernel_id": "75633825"}, {"ref": "brianolave/exercise-underfitting-and-overfitting", "kernel_id": "75633662"}, {"ref": "brianolave/exercise-your-first-machine-learning-model", "kernel_id": "75633331"}, {"ref": "brianolave/exercise-model-validation", "kernel_id": "75633495"}, {"ref": "brianolave/exercise-cross-validation", "kernel_id": "75876168"}, {"ref": "brianolave/exercise-xgboost", "kernel_id": "75876331"}, {"ref": "brianolave/exercise-pipelines", "kernel_id": "75876012"}, {"ref": "brianolave/exercise-categorical-variables", "kernel_id": "75875804"}, {"ref": "brianolave/exercise-introduction", "kernel_id": "75875505"}, {"ref": "brianolave/exercise-missing-values", "kernel_id": "75875579"}, {"ref": "brianolave/exercise-data-leakage", "kernel_id": "75876516"}, {"ref": "fizzamehar/price-prdict", "kernel_id": "75413416"}, {"ref": "umutalkn/can-vif-based-selection-improve-ann-regression", "kernel_id": "75761094"}, {"ref": "eduardoalvesferreira/exercise-missing-values", "kernel_id": "75029870"}, {"ref": "utkarshtripathishrey/exercise-cross-validation", "kernel_id": "75345733"}, {"ref": "utkarshtripathishrey/exercise-pipelines", "kernel_id": "75340621"}, {"ref": "utkarshtripathishrey/exercise-categorical-variables", "kernel_id": "75310497"}, {"ref": "bhaskarreddy11/exercise-introduction", "kernel_id": "75463788"}, {"ref": "bhaskarreddy11/exercise-xgboost", "kernel_id": "75548239"}, {"ref": "bhaskarreddy11/exercise-cross-validation", "kernel_id": "75522975"}, {"ref": "bhaskarreddy11/exercise-pipelines", "kernel_id": "75520881"}, {"ref": "michaelrowen/xgboost-regression-baseline", "kernel_id": "75839577"}, {"ref": "chrissharma7/house-new", "kernel_id": "75995697"}, {"ref": "aliffaagnur/house-price-prediction-and-eda", "kernel_id": "75493799"}, {"ref": "aditi0307/house-prediction-model-linear-regression-l", "kernel_id": "75051659"}, {"ref": "mariammohamed27/house-pricing-prediction", "kernel_id": "75425276"}, {"ref": "jipwulffele/pipelines-and-randomizedgridsearch", "kernel_id": "75135268"}, {"ref": "brunoflausino/exercise-missing-values", "kernel_id": "75016146"}, {"ref": "kalpanameena152004/exercise-machine-learning-competitions", "kernel_id": "75622737"}, {"ref": "quentinmorenogelos/housing-prices-beginner", "kernel_id": "75453644"}, {"ref": "drewbaker15/exercise-categorical-variables", "kernel_id": "75217385"}, {"ref": "ekeshwaripatil/exercise-your-first-machine-learning-model", "kernel_id": "75916277"}, {"ref": "ekeshwaripatil/exercise-model-validation", "kernel_id": "75919207"}, {"ref": "ekeshwaripatil/exercise-machine-learning-competitions", "kernel_id": "75921833"}, {"ref": "ekeshwaripatil/exercise-underfitting-and-overfitting", "kernel_id": "75920614"}, {"ref": "ekeshwaripatil/exercise-random-forests", "kernel_id": "75921480"}, {"ref": "twen21ne/house-price-prediction", "kernel_id": "75817374"}, {"ref": "chriscallender/housing-prices-kaggle", "kernel_id": "75634013"}, {"ref": "uniregex/notebook9dffef9f1e", "kernel_id": "75035252"}, {"ref": "saisudheerkankanala/notebook59da8ce108", "kernel_id": "75949522"}, {"ref": "ismalgansonre/house-price-competition", "kernel_id": "75614697"}, {"ref": "rituki/top-5-ensemble-house-price-forecasting", "kernel_id": "75594541"}, {"ref": "krishsuri2005/housing-price", "kernel_id": "75205274"}, {"ref": "shanzaijaz/exercise-your-first-machine-learning-model", "kernel_id": "75572249"}, {"ref": "shanzaijaz/exercise-model-validation", "kernel_id": "75697714"}, {"ref": "setarehshiralian/assignment001-setareh", "kernel_id": "75589490"}, {"ref": "bohdanchernysh/xgboost-top-3", "kernel_id": "75592538"}, {"ref": "soheesoso/exercise-underfitting-and-overfitting", "kernel_id": "75098565"}, {"ref": "soheesoso/exercise-random-forests", "kernel_id": "75099830"}, {"ref": "mkrhellol/exercise-pipelines", "kernel_id": "75548757"}, {"ref": "mkrhellol/exercise-cross-validation", "kernel_id": "75555024"}, {"ref": "mkrhellol/exercise-xgboost", "kernel_id": "75570766"}, {"ref": "mkrhellol/exercise-categorical-variables", "kernel_id": "75450972"}, {"ref": "mkrhellol/exercise-your-first-machine-learning-model", "kernel_id": "75175178"}, {"ref": "mkrhellol/exercise-model-validation", "kernel_id": "75177574"}, {"ref": "mkrhellol/exercise-introduction", "kernel_id": "75193940"}, {"ref": "mkrhellol/exercise-machine-learning-competitions", "kernel_id": "75187274"}, {"ref": "mkrhellol/exercise-random-forests", "kernel_id": "75186767"}, {"ref": "mkrhellol/exercise-underfitting-and-overfitting", "kernel_id": "75185712"}, {"ref": "mkrhellol/exercise-missing-values", "kernel_id": "75211594"}, {"ref": "sumitsinghlko/housing-prediction", "kernel_id": "75499485"}, {"ref": "sumitsinghlko/housing-prices-data-wrangling", "kernel_id": "75472140"}, {"ref": "eminaanapaydn/housing-prices-competition", "kernel_id": "75422313"}, {"ref": "kleintene/model-validation", "kernel_id": "75763645"}, {"ref": "aumiidutta/exercise-missing-values", "kernel_id": "75084198"}, {"ref": "aumiidutta/exercise-introduction", "kernel_id": "75011984"}, {"ref": "aumiidutta/exercise-machine-learning-competitions", "kernel_id": "75007507"}, {"ref": "aumiidutta/exercise-random-forests", "kernel_id": "75005820"}, {"ref": "aumiidutta/exercise-categorical-variables", "kernel_id": "75144812"}, {"ref": "aumiidutta/exercise-pipelines", "kernel_id": "75210594"}, {"ref": "aumiidutta/exercise-xgboost", "kernel_id": "75254553"}, {"ref": "aumiidutta/exercise-cross-validation", "kernel_id": "75243973"}, {"ref": "aumiidutta/exercise-data-leakage", "kernel_id": "75263598"}, {"ref": "dmalik11/house-prices-linear-regression", "kernel_id": "75028146"}, {"ref": "marcusttong/exercise-machine-learning-competitions", "kernel_id": "75492728"}, {"ref": "yidusong/exercise-machine-learning-competitions", "kernel_id": "75460879"}, {"ref": "danylokalinchuk/houseprice-competition", "kernel_id": "75509480"}, {"ref": "enricolaudato/iowa-housing-analysis", "kernel_id": "75944752"}, {"ref": "ashuredd/catboost-feature-importances-14236-31535", "kernel_id": "75337490"}, {"ref": "nurdauletkhaidar/exercise-machine-learning-competitions", "kernel_id": "75855212"}, {"ref": "jaydipchatrola/house-prices-competition", "kernel_id": "75453889"}, {"ref": "atamnianadjib/ml-project", "kernel_id": "75364747"}, {"ref": "paologuerra15/housing-prices-ml-practice", "kernel_id": "75367972"}, {"ref": "xiangzuo85/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "75386306"}, {"ref": "diegokurashima/housing-prices-my-first-approach", "kernel_id": "75350504"}, {"ref": "rajgupta987/housing-prices", "kernel_id": "75824600"}, {"ref": "amruthasatishkumar/exercise-machine-learning-competitions", "kernel_id": "75768480"}, {"ref": "andraharshavardhan/exercise-machine-learning-competitions", "kernel_id": "75773472"}, {"ref": "ligmajohnson/exercise-machine-learning-competitions", "kernel_id": "75976077"}, {"ref": "billyclanton/10-lines-of-code-w-xgboost", "kernel_id": "76803675"}, {"ref": "billyclanton/10-lines-of-code-w-xgboost-feature-importance", "kernel_id": "76922787"}, {"ref": "kumarandatascientist/eda-datascience-ai-agent-pipeline-v1", "kernel_id": "76653559"}, {"ref": "asangwai/exercise-missing-values", "kernel_id": "76684051"}, {"ref": "rushmila/house-price-prediction", "kernel_id": "76942535"}, {"ref": "rushmila/exercise-missing-values", "kernel_id": "76943203"}, {"ref": "alexdavidson1995/house-prices-first-linear-regression-model", "kernel_id": "76363643"}, {"ref": "hafedhhichri/house-price-simplified", "kernel_id": "76993540"}, {"ref": "aliasghar785/exercise-xgboost", "kernel_id": "76933133"}, {"ref": "aliasghar785/exercise-machine-learning-competitions", "kernel_id": "76264941"}, {"ref": "bilgeycl/notebookcb16453328", "kernel_id": "76061997"}, {"ref": "pieneclaessen/housing-prices-notebook", "kernel_id": "76499133"}, {"ref": "joshuaimmanuel9/lightgbm-top-100", "kernel_id": "76744677"}, {"ref": "masayakawamata/when-to-use-xgboost-lightgbm-catboost", "kernel_id": "76314336"}, {"ref": "adityaks19/cits-my-house-pred-cn", "kernel_id": "76780020"}, {"ref": "adityaks19/cits-project-house-prediction", "kernel_id": "76780992"}, {"ref": "reginaadobeaessien/exercise-model-validation", "kernel_id": "76446282"}, {"ref": "tpriyadarshini/exercise-your-first-machine-learning-model", "kernel_id": "76463821"}, {"ref": "tpriyadarshini/machine-learning-house-price-predictions", "kernel_id": "76544813"}, {"ref": "caoklong/housing-price-homework", "kernel_id": "76974209"}, {"ref": "ssuryanshshukla/notebook363c605bb0", "kernel_id": "76952819"}, {"ref": "junhanzangai/korean", "kernel_id": "76966729"}, {"ref": "santhoshsivang/xgboost-house-price-prediction", "kernel_id": "76248804"}, {"ref": "dalzielng/house-price-prediction", "kernel_id": "76407460"}, {"ref": "noeldin25/analysis-and-cleaning-the-data", "kernel_id": "76239116"}, {"ref": "debs2x/notebook1aececadbf", "kernel_id": "76735919"}, {"ref": "kaktusnap/simple-catboost-baseline-top-4-solution", "kernel_id": "76539865"}, {"ref": "pedronakamoto/exercise-machine-learning-competitions", "kernel_id": "76324095"}, {"ref": "pedronakamoto/exercise-your-first-machine-learning-model", "kernel_id": "76268899"}, {"ref": "bearbiscuittea/exercise-machine-learning-competitions", "kernel_id": "76782578"}, {"ref": "ryankusekwa/housing-prices-using-gradientboostedtrees", "kernel_id": "76089406"}, {"ref": "adeolaenitan/exercise-machine-learning-competitions", "kernel_id": "76444755"}, {"ref": "michaelrowen/top-1-xgb-lightgbm-catboost-ensemble", "kernel_id": "76121559"}, {"ref": "matheusacaudias/house-prices", "kernel_id": "76322211"}, {"ref": "adriantseee2/ml-competition", "kernel_id": "76819054"}, {"ref": "chimmuanyaeze/exercise-missing-values", "kernel_id": "76852083"}, {"ref": "ungguladimulia/housing-price-prediction", "kernel_id": "76056806"}, {"ref": "samuelfrans/exercise-random-forests", "kernel_id": "76799750"}, {"ref": "an1005/house-price-prediction-eda-and-linear-regression", "kernel_id": "76945457"}, {"ref": "kushagr17/housing-price-comp", "kernel_id": "76023545"}, {"ref": "aasdputrasamudera/housepriceprediction", "kernel_id": "76235072"}, {"ref": "parishamahajan/kaggle-problem-ii", "kernel_id": "76541940"}, {"ref": "mariambadrmb/housing-prices-prediction", "kernel_id": "76741271"}, {"ref": "jainilspatel/housing-price", "kernel_id": "76507533"}, {"ref": "gamer12341/exercise-machine-learning-competitions", "kernel_id": "76117825"}, {"ref": "phiduyanh/housing-prices-competition-random-forest", "kernel_id": "76788583"}, {"ref": "phiduyanh/housing-prices-competition-xgboost", "kernel_id": "76970017"}, {"ref": "hemakandivan/house-price-prediction", "kernel_id": "76212704"}, {"ref": "osamam7md/houseprice-pred", "kernel_id": "76082170"}, {"ref": "chengyannng/housingpricepred-with-pca-randomforest", "kernel_id": "76296833"}, {"ref": "chengyannng/housingpricepred-pca-rf-v1", "kernel_id": "76584050"}, {"ref": "eidenspark/notebook5a2c152607", "kernel_id": "76563189"}, {"ref": "bosireinnocent/exercise-random-forests", "kernel_id": "76524991"}, {"ref": "alilaudza/house-pricing-trial-2", "kernel_id": "76218459"}, {"ref": "abdulqadarmanasawala/exercise-machine-learning-competitions", "kernel_id": "76028018"}, {"ref": "narinaz/exercise-xgboost", "kernel_id": "76401035"}, {"ref": "mosaifsaif/exercise-your-first-machine-learning-model", "kernel_id": "76005576"}, {"ref": "jinhaoma/exercise-machine-learning-competitions", "kernel_id": "76577834"}, {"ref": "wisdomli/housing-price-predictor", "kernel_id": "76277088"}, {"ref": "nefelibatabigr/my-house-pred-cn", "kernel_id": "76069451"}, {"ref": "alifeci/housing-prices-afe", "kernel_id": "76300889"}, {"ref": "pragatipri/exercise-machine-learning-competitions", "kernel_id": "76330928"}, {"ref": "omarqadi/exercise-machine-learning-competitions", "kernel_id": "76184513"}, {"ref": "nikhiljha7030/actitivity-1", "kernel_id": "76955108"}, {"ref": "arghosarker202/notebook6036ccf0e7", "kernel_id": "76429552"}, {"ref": "riteshsk0001/housepricechallenge", "kernel_id": "76965008"}, {"ref": "ayush8866/worksheet", "kernel_id": "76952891"}, {"ref": "zacharyjohanes/exercise-machine-learning-competitions", "kernel_id": "76057720"}, {"ref": "limtara/exercise-machine-learning-competitions", "kernel_id": "76404831"}, {"ref": "ethannjin/exercise-machine-learning-competitions", "kernel_id": "76817869"}, {"ref": "aydengonzalez/notebookc7494d3407", "kernel_id": "76675010"}, {"ref": "lixiangwakeheart/housing-prices", "kernel_id": "76906059"}, {"ref": "uom200532k/exercise-machine-learning-competitions", "kernel_id": "76238455"}, {"ref": "jaforsadik/practice-01", "kernel_id": "76533235"}, {"ref": "magnuswong/exercise-machine-learning-competitions", "kernel_id": "76819475"}, {"ref": "deepanhu/exercise-machine-learning-competitions", "kernel_id": "76790153"}, {"ref": "akashchowdary2004/exercise-underfitting-and-overfitting", "kernel_id": "76894446"}, {"ref": "akashchowdary2004/exercise-machine-learning-competitions", "kernel_id": "76894510"}, {"ref": "anazli/xgb-reg", "kernel_id": "77377061"}, {"ref": "ofyalcin/fork-of-house-price-knn-cross-val", "kernel_id": "77457445"}, {"ref": "ofyalcin/fork-of-fork-of-house-price-knn-cross-val", "kernel_id": "77458394"}, {"ref": "ofyalcin/house-price-knn-cv-grid-search", "kernel_id": "77279218"}, {"ref": "ofyalcin/house-price-knn-cross-val", "kernel_id": "77275249"}, {"ref": "annastasy/your-guide-to-data-visualization", "kernel_id": "77404677"}, {"ref": "tcgyver/exercise-xgboost", "kernel_id": "77828541"}, {"ref": "rikiyahonda/housing-price-lasso-r-japanese", "kernel_id": "77571904"}, {"ref": "amitsinha7498/exercise-machine-learning-competitions", "kernel_id": "77856797"}, {"ref": "umarwaqar/exercise-machine-learning-competitions", "kernel_id": "77994249"}, {"ref": "gregkoja/housing-price-predictions-with-xgboost-and-gpu", "kernel_id": "77335034"}, {"ref": "bogoodski/ames-housing-prices-predictor", "kernel_id": "77266495"}, {"ref": "yadidiahk/how-models-work", "kernel_id": "77377664"}, {"ref": "hamdimohamed22/housing-prices-competition", "kernel_id": "77001193"}, {"ref": "miadul/exercise-random-forests", "kernel_id": "77549126"}, {"ref": "miadul/exercise-underfitting-and-overfitting", "kernel_id": "77548361"}, {"ref": "behiyenilayogultekin/housing-dataset-random-regressor", "kernel_id": "77072688"}, {"ref": "claramagdyghaly/exercise-machine-learning-competitions", "kernel_id": "77061721"}, {"ref": "kksong11/housing-price-random-forest", "kernel_id": "77121681"}, {"ref": "angelisnguele/notebook657f631d2b", "kernel_id": "77221798"}, {"ref": "dochigoseum/house-prices-first-linear-regression-model", "kernel_id": "77785452"}, {"ref": "mguraria/housing-price-predictions", "kernel_id": "77003751"}, {"ref": "samanenajarian/exercise-categorical-variables", "kernel_id": "77469427"}, {"ref": "samanenajarian/exercise-introduction", "kernel_id": "77362788"}, {"ref": "samanenajarian/exercise-missing-values", "kernel_id": "77363496"}, {"ref": "maazkamal08/exercise-machine-learning-competitions", "kernel_id": "77993612"}, {"ref": "nikita7364777/hpc-stacking-regression-ensemble-linear-models", "kernel_id": "77522909"}, {"ref": "palakbansal23/exercise-machine-learning-competitions", "kernel_id": "77238278"}, {"ref": "zainukah/house-price-prediction", "kernel_id": "77523223"}, {"ref": "maneeshadahal/exercise-your-first-machine-learning-model", "kernel_id": "77507454"}, {"ref": "shakhan1/exercise-your-first-machine-learning-model", "kernel_id": "77932178"}, {"ref": "shakhan1/exercise-model-validation", "kernel_id": "77946725"}, {"ref": "shakhan1/exercise-underfitting-and-overfitting", "kernel_id": "77951240"}, {"ref": "alijatt1/house-price-prediction", "kernel_id": "77467605"}, {"ref": "deepali2510/houseprice-prediction", "kernel_id": "77924701"}, {"ref": "tylerbaverstockkay/intro-to-machine-2-first-machine-learning-model", "kernel_id": "77129246"}, {"ref": "tylerbaverstockkay/intro-to-machine-3-model-validation", "kernel_id": "77256630"}, {"ref": "tylerbaverstockkay/intro-to-machine-4-underfitting-and-overfitting", "kernel_id": "77257865"}, {"ref": "tylerbaverstockkay/intro-to-machine-5-random-forests", "kernel_id": "77259479"}, {"ref": "tylerbaverstockkay/intro-to-machine-6-machine-learning-competitions", "kernel_id": "77259738"}, {"ref": "yidongyangneuro/house-price-prediction", "kernel_id": "77053724"}, {"ref": "mohsinali08000/exercise-machine-learning-competitions", "kernel_id": "77946386"}, {"ref": "johnsinco/ames-price-pred-xgboost-rf", "kernel_id": "77621388"}, {"ref": "johnsinco/ames-pp-tensorflow", "kernel_id": "77829282"}, {"ref": "elakks/exercise-missing-values", "kernel_id": "77807489"}, {"ref": "johannesrechenauer/jr-nb-1", "kernel_id": "77172657"}, {"ref": "hasanalperenkurt/house-price-prediction", "kernel_id": "77480512"}, {"ref": "galinakg/exercise-introduction", "kernel_id": "77435079"}, {"ref": "kolasanidinesh/notebookcd90e152ed", "kernel_id": "77573131"}, {"ref": "prathadwivedi/housing-price-prediction", "kernel_id": "77729462"}, {"ref": "nasifrafidi/exercise-machine-learning-competitions", "kernel_id": "77195026"}, {"ref": "shigetoshinoda/house-price-barplot", "kernel_id": "77696052"}, {"ref": "yonatanawlachewf/exercise-xgboost", "kernel_id": "77817287"}, {"ref": "tremex123/exercise-machine-learning-competitions", "kernel_id": "77809057"}, {"ref": "tremex123/exercise-random-forests", "kernel_id": "77808523"}, {"ref": "tremex123/exercise-underfitting-and-overfitting", "kernel_id": "77807734"}, {"ref": "tremex123/exercise-model-validation", "kernel_id": "77806781"}, {"ref": "tremex123/exercise-your-first-machine-learning-model", "kernel_id": "77806153"}, {"ref": "abdulellahalamer/random-forest-solution", "kernel_id": "77328660"}, {"ref": "xunhongtng/house-price-prediction", "kernel_id": "77489932"}, {"ref": "muslimotadeyemi/exercise-your-first-machine-learning-model", "kernel_id": "77874079"}, {"ref": "kubraterz/exercise-your-first-machine-learning-model", "kernel_id": "77377754"}, {"ref": "janmartins/housing-prices-competition", "kernel_id": "77009655"}, {"ref": "clairexlee/exercise-machine-learning-competitions", "kernel_id": "77397123"}, {"ref": "devkayyy/exercise-machine-learning-competitions-kayla-p", "kernel_id": "77325289"}, {"ref": "siddhantgdakhore/housepruicing", "kernel_id": "77698807"}, {"ref": "alexanderriabchinski/exercise-cross-validation", "kernel_id": "77229114"}, {"ref": "arghosarker202/argho-sarker-price-predicted", "kernel_id": "77063919"}, {"ref": "captb1price/exercise-your-first-machine-learning-model", "kernel_id": "77550540"}, {"ref": "brianmukundi/housing-prices-prediction", "kernel_id": "77587651"}, {"ref": "dillontindall/exercise-categorical-variables", "kernel_id": "77513348"}, {"ref": "lakshya077/lakshya-pal", "kernel_id": "77193101"}, {"ref": "phanminhll/notebook15e3d2f685", "kernel_id": "77288829"}, {"ref": "zaratepy/exercise-machine-learning-competitions", "kernel_id": "77626160"}, {"ref": "zaratepy/exercise-introduction", "kernel_id": "77656339"}, {"ref": "alessiosmerilli/housing-price", "kernel_id": "77189290"}, {"ref": "stepanovmaxim98/lesson-2", "kernel_id": "77328799"}, {"ref": "stepanovmaxim98/lesson-4", "kernel_id": "77372420"}, {"ref": "stepanovmaxim98/lesson-5", "kernel_id": "77373656"}, {"ref": "stepanovmaxim98/middle-ml-lesson-1", "kernel_id": "77374246"}, {"ref": "stepanovmaxim98/middle-ml-lesson-2", "kernel_id": "77376760"}, {"ref": "stepanovmaxim98/lesson-3", "kernel_id": "77369983"}, {"ref": "kev248211/underfitting-and-overfitting", "kernel_id": "77517052"}, {"ref": "kev248211/pytorch-comparison", "kernel_id": "77518618"}, {"ref": "kev248211/random-forests", "kernel_id": "77515377"}, {"ref": "kev248211/decision-tree", "kernel_id": "77516478"}, {"ref": "shivanigodugu/exercise-machine-learning-competitions", "kernel_id": "77283201"}, {"ref": "damianvtran/local-operator-housing-prices-automl-top-5", "kernel_id": "77487150"}, {"ref": "xxgsnbxenon/notebookaa19ac55d7", "kernel_id": "77946307"}, {"ref": "fatmabaklouti/exercise-machine-learning-competitions", "kernel_id": "77949541"}, {"ref": "jerali/notebook9b3ce3abac", "kernel_id": "77930088"}, {"ref": "aidenmccomiskey/tais-housing-price-prediction", "kernel_id": "78076401"}, {"ref": "aidenmccomiskey/tais-housing-price-predictions", "kernel_id": "78076499"}, {"ref": "noflash41/advanced-machine-learning-homework", "kernel_id": "78213254"}, {"ref": "umarwaqar/exercise-xgboost", "kernel_id": "78380358"}, {"ref": "carloscastau/housing-prices-improovement", "kernel_id": "78911251"}, {"ref": "indulekha999/housing-prices-ikp", "kernel_id": "78030653"}, {"ref": "chandinikottakota/exercise-your-first-machine-learning-model", "kernel_id": "78736073"}, {"ref": "chandinikottakota/exercise-model-validation", "kernel_id": "78738640"}, {"ref": "pran9v/houseprediction", "kernel_id": "78668429"}, {"ref": "mrabbyilyas/exercise-your-first-machine-learning-model", "kernel_id": "78197243"}, {"ref": "mrabbyilyas/exercise-model-validation", "kernel_id": "78314568"}, {"ref": "priyankkkkkku/exercise-model-validation", "kernel_id": "78807528"}, {"ref": "lumincode/exercise-machine-learning-competitions", "kernel_id": "78897700"}, {"ref": "jawadhussainshar/exercise-underfitting-and-overfitting", "kernel_id": "78942050"}, {"ref": "jawadhussainshar/exercise-random-forests", "kernel_id": "78942204"}, {"ref": "jawadhussainshar/exercise-model-validation", "kernel_id": "78941584"}, {"ref": "samiul2172/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "78771771"}, {"ref": "junfengnie/exercise-missing-values", "kernel_id": "78018521"}, {"ref": "shadesh/home-data-for-ml-course", "kernel_id": "78827666"}, {"ref": "alaabediwi/exercise-machine-learning-competitions", "kernel_id": "78003866"}, {"ref": "srikanthgunja/exercise-machine-learning-competitions", "kernel_id": "78637613"}, {"ref": "kiariejeff/house-prediction-randomforest", "kernel_id": "78176558"}, {"ref": "kader26/exercise-machine-learning-competitions", "kernel_id": "78043018"}, {"ref": "surabhibyju21/housing-price-prediction-surabhi", "kernel_id": "78450630"}, {"ref": "hansenshim/ames-housing", "kernel_id": "78221305"}, {"ref": "akhildevarasetty/housing-competition", "kernel_id": "78781030"}, {"ref": "mwinaryasepindiarto/exercise-cross-validation", "kernel_id": "78827587"}, {"ref": "mwinaryasepindiarto/exercise-pipelines", "kernel_id": "78827421"}, {"ref": "mwinaryasepindiarto/exercise-xgboost", "kernel_id": "78827793"}, {"ref": "mwinaryasepindiarto/exercise-categorical-variables", "kernel_id": "78827102"}, {"ref": "sheetallodhi/exercise-categorical-variables", "kernel_id": "78622293"}, {"ref": "danyalabbas1/534-rank-code", "kernel_id": "78174323"}, {"ref": "jackshuto/housing-price-of-prediction-by-xgboosting", "kernel_id": "78234185"}, {"ref": "miyakokujo/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "78679246"}, {"ref": "harshityadav983936/exercise-cross-validation", "kernel_id": "78219426"}, {"ref": "drishtiprakash/ridge-regression", "kernel_id": "78765788"}, {"ref": "vaishrajput/exercise-machine-learning-competitions", "kernel_id": "78369091"}, {"ref": "mahsakhalajzade/exercise-machine-learning-competitions", "kernel_id": "78347035"}, {"ref": "cerenkayaakgn/multi-model-house-price-prediction", "kernel_id": "78973789"}, {"ref": "emanmelad/exercise-machine-learning-competitions", "kernel_id": "78441960"}, {"ref": "sanjaydkd/exercise-machine-learning-competitions", "kernel_id": "78436868"}, {"ref": "salehahmedsaleh/housing-competition", "kernel_id": "78152250"}, {"ref": "hyeongjunhyeok/housing-prices-3", "kernel_id": "78127571"}, {"ref": "mazharulalam98/preprocessing-practice", "kernel_id": "78389395"}, {"ref": "sarahahagamal/exercise-model-validation", "kernel_id": "78648939"}, {"ref": "sarahahagamal/exercise-your-first-machine-learning-model", "kernel_id": "78647476"}, {"ref": "sarahahagamal/exercise-underfitting-and-overfitting", "kernel_id": "78650017"}, {"ref": "nafe25/exercise-machine-learning-competitions", "kernel_id": "78590940"}, {"ref": "setarehshiralian/notebook19c6f47fd1", "kernel_id": "78841881"}, {"ref": "usmanabbasi2002/housing-prices", "kernel_id": "78224982"}, {"ref": "sougataroy05/housing-prices-advanced-regression", "kernel_id": "78180724"}, {"ref": "iqraarafiq/exercise-your-first-machine-learning-model", "kernel_id": "78593219"}, {"ref": "ayadii/exercise-categorical-variables", "kernel_id": "78143988"}, {"ref": "shaiksaleemshaik/exercise-introduction", "kernel_id": "78617983"}, {"ref": "coderkr/house-price-prediction-ml-model", "kernel_id": "78868335"}, {"ref": "coderkr/house-price-prediction-improved", "kernel_id": "78875792"}, {"ref": "leotiburciogo/exercise-machine-learning-competitions", "kernel_id": "78071144"}, {"ref": "carlnic0/exercise-your-first-machine-learning-model", "kernel_id": "78531980"}, {"ref": "bilaldev24/exercise-introduction", "kernel_id": "78640720"}, {"ref": "ebadhussain20/housing-price-rf", "kernel_id": "78659057"}, {"ref": "danielko5/exercise-introduction", "kernel_id": "78267105"}, {"ref": "danielko5/exercise-random-forests", "kernel_id": "78211413"}, {"ref": "danielko5/exercise-machine-learning-competitions", "kernel_id": "78211524"}, {"ref": "danielko5/exercise-model-validation", "kernel_id": "78210741"}, {"ref": "danielko5/exercise-your-first-machine-learning-model", "kernel_id": "78210238"}, {"ref": "shrekai/exercise-introduction", "kernel_id": "78178125"}, {"ref": "shrekai/exercise-your-first-machine-learning-model", "kernel_id": "78042280"}, {"ref": "shrekai/exercise-model-validation", "kernel_id": "78080145"}, {"ref": "shrekai/exercise-underfitting-and-overfitting", "kernel_id": "78084886"}, {"ref": "shrekai/exercise-random-forests", "kernel_id": "78103045"}, {"ref": "shrekai/exercise-machine-learning-competitions", "kernel_id": "78112252"}, {"ref": "shrekai/exercise-missing-values", "kernel_id": "78357537"}, {"ref": "chobabns/house-sales-price", "kernel_id": "78256983"}, {"ref": "vinhbtpg241/advanced-machine-learning-homework", "kernel_id": "78189366"}, {"ref": "niteshpatna/exercise-machine-learning-competitions", "kernel_id": "78235328"}, {"ref": "abraros/exercise-machine-learning-competitions", "kernel_id": "78508701"}, {"ref": "gergesyounan/exercise-your-first-machine-learning-model", "kernel_id": "78537552"}, {"ref": "bhowmicksaurav/exercise-underfitting-and-overfitting", "kernel_id": "78574229"}, {"ref": "bhowmicksaurav/exercise-data-leakage", "kernel_id": "78618387"}, {"ref": "anandpi/housing-prices-using-scikit-learn", "kernel_id": "78584295"}, {"ref": "saketkumar28/exercise-your-first-machine-learning-model", "kernel_id": "78766562"}, {"ref": "xilingxu/house-prices-pred", "kernel_id": "78867404"}, {"ref": "bborya/home-data-using-xgboost-2025-04", "kernel_id": "79939362"}, {"ref": "ofyalcin/beyondlinearity", "kernel_id": "79704866"}, {"ref": "ofyalcin/elasticnet-houseprice", "kernel_id": "79366936"}, {"ref": "ofyalcin/ridge-and-lasso-houseprice", "kernel_id": "79188604"}, {"ref": "wikumchamith/exercise-missing-values", "kernel_id": "79351163"}, {"ref": "jananivakkanti/exercise-your-first-machine-learning-model", "kernel_id": "79728002"}, {"ref": "jananivakkanti/exercise-model-validation", "kernel_id": "79827069"}, {"ref": "ragib310/exercise-introduction", "kernel_id": "79577969"}, {"ref": "tharindugodage/exercise-missing-values", "kernel_id": "79351166"}, {"ref": "imeshnirmal/exercise-missing-values", "kernel_id": "79351364"}, {"ref": "nikolayvalev/notebook7548f59795", "kernel_id": "79328097"}, {"ref": "siddhartha008/house-prices-prediction", "kernel_id": "79365192"}, {"ref": "lishachaudhari/house-prices-prediction-using-random-forest", "kernel_id": "79072362"}, {"ref": "hghdhygf/house-price", "kernel_id": "79558618"}, {"ref": "piotrpowroznik/house-prices-prediction", "kernel_id": "79051303"}, {"ref": "danielpeter157/exercise-random-forests", "kernel_id": "79946836"}, {"ref": "shadesh/housing-prices-prediction", "kernel_id": "79198663"}, {"ref": "shadesh/advanced-regression-techniques", "kernel_id": "79278575"}, {"ref": "npsnnissanka/exercise-missing-values", "kernel_id": "79351438"}, {"ref": "gobihanath007/exercise-missing-values", "kernel_id": "79351232"}, {"ref": "gobihanath007/exercise-missing-values-f12a19", "kernel_id": "79351929"}, {"ref": "maheshamorais/exercise-missing-values", "kernel_id": "79351793"}, {"ref": "chamalidilka/exercise-missing-values-19apc4055", "kernel_id": "79351257"}, {"ref": "banukunasingam/exercise-missing-values", "kernel_id": "79360827"}, {"ref": "lathuniimasha/exercise-missing-values", "kernel_id": "79351377"}, {"ref": "zhuoran666/exercise-machine-learning-competitions", "kernel_id": "79375817"}, {"ref": "komalbaloch/exercise-your-first-machine-learning-model", "kernel_id": "79599732"}, {"ref": "komalbaloch/exercise-model-validation", "kernel_id": "79599749"}, {"ref": "komalbaloch/exercise-underfitting-and-overfitting", "kernel_id": "79599764"}, {"ref": "komalbaloch/exercise-random-forests", "kernel_id": "79599779"}, {"ref": "mohsin31202/exercise-machine-learning-competitions", "kernel_id": "79427481"}, {"ref": "mohsin31202/exercise-introduction", "kernel_id": "79485742"}, {"ref": "hamzalogicai/ml-exercise-house-price-prediction", "kernel_id": "79279251"}, {"ref": "hamzalogicai/ml-exercise-missing-values", "kernel_id": "79978248"}, {"ref": "ririlastritshahaya/exercise-your-first-machine-learning-model", "kernel_id": "79399233"}, {"ref": "nurmyrzabaizhanov/exercise-model-validation", "kernel_id": "79246392"}, {"ref": "nurmyrzabaizhanov/exercise-underfitting-and-overfitting", "kernel_id": "79246782"}, {"ref": "nurmyrzabaizhanov/exercise-machine-learning-competitions", "kernel_id": "79248341"}, {"ref": "nurmyrzabaizhanov/exercise-random-forests", "kernel_id": "79248215"}, {"ref": "gla123satvik/exercise-machine-learning-competitions", "kernel_id": "79768056"}, {"ref": "santimoraless/house-prices-ml-and-eda", "kernel_id": "79530870"}, {"ref": "hashemili/housing-prices-competition-ili", "kernel_id": "79370270"}, {"ref": "abimeshaperera/exercise-missing-values", "kernel_id": "79351250"}, {"ref": "shankavisal/exercise-missing-values", "kernel_id": "79351180"}, {"ref": "malkipamoda/exercise-missing-values", "kernel_id": "79351266"}, {"ref": "chamikalakshitha/exercise-missing-values", "kernel_id": "79351210"}, {"ref": "berkerenakmak/housing-price-competition", "kernel_id": "79965290"}, {"ref": "ibrahimnibrahim/housing-prices", "kernel_id": "79465529"}, {"ref": "winstonewere/exercise-introduction", "kernel_id": "79366554"}, {"ref": "julinbergesnavarrete/exercise-machine-learning-competitions", "kernel_id": "79750156"}, {"ref": "rattans/housing-prices-prediction-through-regression", "kernel_id": "79066394"}, {"ref": "carlossandovalortega/exercise-machine-learning-competitions", "kernel_id": "79729353"}, {"ref": "thenushanthevakumar/exercise-missing-values", "kernel_id": "79351333"}, {"ref": "mikelesco0/exercise-machine-learning-competitions", "kernel_id": "79661536"}, {"ref": "sohilaayman/exercise-your-first-machine-learning-model", "kernel_id": "79622190"}, {"ref": "sohilaayman/exercise-model-validation", "kernel_id": "79900484"}, {"ref": "sohilaayman/exercise-underfitting-and-overfitting", "kernel_id": "79901141"}, {"ref": "sarahahagamal/exercise-machine-learning-competitions", "kernel_id": "79519417"}, {"ref": "sarahahagamal/exercise-random-forests", "kernel_id": "79517881"}, {"ref": "sachinidishala/exercise-missing-values", "kernel_id": "79352915"}, {"ref": "jianzhangmei/notebookdac90c5cf0", "kernel_id": "79903068"}, {"ref": "ramtinkarbaschi/homeprices-rfmodel", "kernel_id": "79201463"}, {"ref": "tharushipathiranage/practical-quiz-1-missing-values", "kernel_id": "79351300"}, {"ref": "akhilpk88/exercise-xgboost", "kernel_id": "79455067"}, {"ref": "akhilpk88/notebook3703975fed", "kernel_id": "79830816"}, {"ref": "pablopazdvila/exercise-machine-learning-competitions", "kernel_id": "79727806"}, {"ref": "lorenzomartnezruiz/exercise-machine-learning-competitions", "kernel_id": "79729137"}, {"ref": "santiagocalvobarros/exercise-machine-learning-competitions", "kernel_id": "79727061"}, {"ref": "matiasnavon/exercise-machine-learning-competitions", "kernel_id": "79727557"}, {"ref": "nicolsestradamoronta/exercise-machine-learning-competitions", "kernel_id": "79739319"}, {"ref": "berndkrautesparza/exercise-machine-learning-competitions", "kernel_id": "79739153"}, {"ref": "josjuanmndezromo/exercise-machine-learning-competitions", "kernel_id": "79739161"}, {"ref": "yuhaoliuleo/exercise-machine-learning-competitions", "kernel_id": "79739818"}, {"ref": "luiscarlosortizrojas/exercise-machine-learning-competitions", "kernel_id": "79739165"}, {"ref": "paulinamartnezpaz/exercise-machine-learning-competitions", "kernel_id": "79739159"}, {"ref": "estefaniabanosbece/exercise-machine-learning-competitions", "kernel_id": "79739384"}, {"ref": "andressalinas10/exercise-machine-learning-competitions", "kernel_id": "79739115"}, {"ref": "constantbonnet/exercise-machine-learning-competitions", "kernel_id": "79740074"}, {"ref": "isaiahmcgirt1/housing-prices-predictions", "kernel_id": "79773749"}, {"ref": "danielko5/exercise-missing-values", "kernel_id": "79509105"}, {"ref": "machinelearniing/exercise-machine-learning-competitions", "kernel_id": "79228396"}, {"ref": "abduulwasay/top-1-housing-price-eda-random-for-everyone", "kernel_id": "79437002"}, {"ref": "sajikanagodavithana/exercise-missing-values", "kernel_id": "79352503"}, {"ref": "rubenvisionary/exercise-missing-values", "kernel_id": "79314986"}, {"ref": "rubenvisionary/exercise-random-forests", "kernel_id": "79223809"}, {"ref": "rubenvisionary/exercise-underfitting-and-overfitting", "kernel_id": "79225088"}, {"ref": "rubenvisionary/exercise-machine-learning-competitions", "kernel_id": "79225635"}, {"ref": "rubenvisionary/exercise-model-validation", "kernel_id": "79220023"}, {"ref": "rubenvisionary/exercise-your-first-machine-learning-model", "kernel_id": "79215451"}, {"ref": "rubenvisionary/exercise-introduction", "kernel_id": "79283664"}, {"ref": "gamikapasindu/exercise-missing-values", "kernel_id": "79353017"}, {"ref": "kavinthaperies/exercise-missing-values", "kernel_id": "79351787"}, {"ref": "prasadsachintha/missing-values", "kernel_id": "79351275"}, {"ref": "tmgsgunarathna/exercise-missing-values", "kernel_id": "79351198"}, {"ref": "sudeepanisal/exercise-missing-values", "kernel_id": "79351486"}, {"ref": "nipunwimalasooriya/exercise-missing-values", "kernel_id": "79351632"}, {"ref": "ackothalawala/exercise-missing-values", "kernel_id": "79351669"}, {"ref": "devinimunasinghe/exercise-missing-values", "kernel_id": "79358534"}, {"ref": "wschamika/exercise-missing-values", "kernel_id": "79351676"}, {"ref": "kmaljayathunga/exercise-missing-values", "kernel_id": "79351392"}, {"ref": "sanudasenodpathiraja/exercise-missing-values", "kernel_id": "79351186"}, {"ref": "ruwinikularathne/exercise-missing-values", "kernel_id": "79351304"}, {"ref": "sargunarathna/exercise-missing-values", "kernel_id": "79351699"}, {"ref": "gayani00/exercise-missing-values", "kernel_id": "79351265"}, {"ref": "punsisichamoda/exercise-missing-values", "kernel_id": "79351507"}, {"ref": "imashasamarasinghe/19apc4088-exercise-missing-values", "kernel_id": "79351843"}, {"ref": "isurikadhananji/exercise-missing-values", "kernel_id": "79351671"}, {"ref": "theekshanimniamanga/exercise-missing-values", "kernel_id": "79352397"}, {"ref": "hansanasandakelum/exercise-missing-values", "kernel_id": "79351263"}, {"ref": "vijayshankar70/exercise-model-validation", "kernel_id": "79276048"}, {"ref": "vijayshankar70/exercise-your-first-machine-learning-model", "kernel_id": "79275405"}, {"ref": "vijayshankar70/exercise-random-forests", "kernel_id": "79277018"}, {"ref": "vijayshankar70/exercise-underfitting-and-overfitting", "kernel_id": "79276611"}, {"ref": "vijayshankar70/exercise-machine-learning-competitions", "kernel_id": "79278132"}, {"ref": "jessicadilks/exercise-your-first-machine-learning-model", "kernel_id": "79515512"}, {"ref": "jessicadilks/exercise-underfitting-and-overfitting", "kernel_id": "79519125"}, {"ref": "jessicadilks/exercise-random-forests", "kernel_id": "79519791"}, {"ref": "jessicadilks/exercise-machine-learning-competitions", "kernel_id": "79520026"}, {"ref": "jessicadilks/exercise-model-validation", "kernel_id": "79517356"}, {"ref": "jessicadilks/exercise-missing-values", "kernel_id": "79643047"}, {"ref": "jessicadilks/exercise-introduction", "kernel_id": "79642390"}, {"ref": "nickycammarata/exercise-your-first-machine-learning-model", "kernel_id": "79653710"}, {"ref": "danzsena/exercise-missing-values", "kernel_id": "79351587"}, {"ref": "ahmetcengiz3/exercise-machine-learning-competitions", "kernel_id": "79517933"}, {"ref": "nisalshiranda/exercise-missing-values", "kernel_id": "79351221"}, {"ref": "dineshexo/19apc3993-exercise-missing-values", "kernel_id": "79351455"}, {"ref": "harshadhananjaya/exercise-missing-values", "kernel_id": "79351312"}, {"ref": "tlknirmani/exercise-missing-values", "kernel_id": "79351463"}, {"ref": "mohamedyoosufaathil/exercise-missing-values", "kernel_id": "79351538"}, {"ref": "dilinisgnanarathne/exercise-missing-values", "kernel_id": "79351190"}, {"ref": "jdcsamaraweera/19apc4090-missing-values", "kernel_id": "79351378"}, {"ref": "mjanardhika/exercise-missing-values", "kernel_id": "79351148"}, {"ref": "rmcpkrathnayaka/19apc4010", "kernel_id": "79352282"}, {"ref": "nipuniprabodi/exercise-missing-values", "kernel_id": "79351420"}, {"ref": "jehansrodrigo/exercise-missing-values", "kernel_id": "79351406"}, {"ref": "tvjayawickrama/exercise-missing-values", "kernel_id": "79351873"}, {"ref": "shankarmahendran/exercise-missing-values", "kernel_id": "79353505"}, {"ref": "psarujanan/exercise-missing-values", "kernel_id": "79351316"}, {"ref": "kavishkathushal/exercise-missing-values", "kernel_id": "79351339"}, {"ref": "prasannapushpakumara/exercise-missing-values", "kernel_id": "79351407"}, {"ref": "shanugamouleeswaran/exercise-missing-values", "kernel_id": "79351590"}, {"ref": "chanukahasaranga/exercise-missing-values", "kernel_id": "79351338"}, {"ref": "sssurendra/exercise-missing-values", "kernel_id": "79351367"}, {"ref": "dilaxshiganaritharan/exercise-missing-values", "kernel_id": "79351412"}, {"ref": "kavindhyatachini/exercise-missing-values", "kernel_id": "79351592"}, {"ref": "hmbsmekanayake/exercise-missing-values", "kernel_id": "79351586"}, {"ref": "tynperera/exercise-missing-values", "kernel_id": "79351408"}, {"ref": "mohamedfasal/exercise-missing-values", "kernel_id": "79351726"}, {"ref": "suslkavindu/exercise-missing-values", "kernel_id": "79351559"}, {"ref": "amthkarunarathna/exercise-missing-values", "kernel_id": "79351433"}, {"ref": "amindigarusinghe/exercise-missing-values", "kernel_id": "79351525"}, {"ref": "hasharapilapitiya/exercise-missing-values", "kernel_id": "79351629"}, {"ref": "rmsubandara/exercise-missing-values", "kernel_id": "79351483"}, {"ref": "rpptrajapaksha/exercise-missing-values-ebf56e", "kernel_id": "79355809"}, {"ref": "ieranga/exercise-missing-values", "kernel_id": "79351502"}, {"ref": "mzfzulfa/activity1-handling-missing-values-19apc4098", "kernel_id": "79351625"}, {"ref": "dulminirathnayake/exercise-missing-values", "kernel_id": "79351613"}, {"ref": "sdsnpulle/exercise-missing-values-814bc1", "kernel_id": "79353838"}, {"ref": "pawani3/exercise-missing-values", "kernel_id": "79351814"}, {"ref": "ravisadilanka/exercise-missing-values", "kernel_id": "79351776"}, {"ref": "hmkkavindi/exercise-missing-values", "kernel_id": "79351647"}, {"ref": "nethminikodithuwaku/exercise-missing-values", "kernel_id": "79352092"}, {"ref": "afraar99/exercise-missing-values", "kernel_id": "79351876"}, {"ref": "vasperera/exercise-missing-values", "kernel_id": "79352654"}, {"ref": "amilamadhusankha/exercise-missing-values", "kernel_id": "79351912"}, {"ref": "mgmtmalalgoda/exercise-missing-values", "kernel_id": "79351839"}, {"ref": "iwsenanayake/exercise-missing-values", "kernel_id": "79351958"}, {"ref": "rsanchayan/exercise-missing-values", "kernel_id": "79369779"}, {"ref": "harshanamadhuwantha/exercise-missing-values", "kernel_id": "79352151"}, {"ref": "kgydilmith/exercise-missing-values", "kernel_id": "79352363"}, {"ref": "charithsilva98/exercise-missing-values", "kernel_id": "79356964"}, {"ref": "christhurasaroshan/exercise-missing-values", "kernel_id": "79352740"}, {"ref": "nishikisenanayake/exercise-missing-values", "kernel_id": "79352918"}, {"ref": "dinistanajay/exercise-missing-values", "kernel_id": "79352926"}, {"ref": "kavindums/exercise-missing-values", "kernel_id": "79360258"}, {"ref": "anujangm/exercise-missing-values", "kernel_id": "79357735"}, {"ref": "isuruaththanayake/exercise-missing-values", "kernel_id": "79356255"}, {"ref": "wmcswarnasuriya/19apc4038-exercise-missing-values", "kernel_id": "79358084"}, {"ref": "assamaraweera/exercise-missing-values", "kernel_id": "79358490"}, {"ref": "piyumiwansekara/exercise-missing-values", "kernel_id": "79363214"}, {"ref": "nikkizabel/exercise-your-first-machine-learning-model", "kernel_id": "79989965"}, {"ref": "jayhawk1900/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "80378614"}, {"ref": "minam94/exercise-machine-learning-competitions", "kernel_id": "80753439"}, {"ref": "krishhd1/exercise-model-validation", "kernel_id": "80508153"}, {"ref": "jananivakkanti/exercise-underfitting-and-overfitting", "kernel_id": "80006339"}, {"ref": "jananivakkanti/exercise-random-forests", "kernel_id": "80016342"}, {"ref": "jananivakkanti/exercise-machine-learning-competitions", "kernel_id": "80016779"}, {"ref": "jananivakkanti/exercise-missing-values", "kernel_id": "80780411"}, {"ref": "jananivakkanti/exercise-introduction", "kernel_id": "80722956"}, {"ref": "ragib310/exercise-categorical-variables", "kernel_id": "80339984"}, {"ref": "ragib310/exercise-missing-values", "kernel_id": "80289187"}, {"ref": "ragib310/exercise-pipelines", "kernel_id": "80367923"}, {"ref": "anushkajoshii/house-price-prediction", "kernel_id": "80480064"}, {"ref": "massinissaissighid/exercise-model-validation", "kernel_id": "80966678"}, {"ref": "mauryneto/housing-prices-competition", "kernel_id": "80169780"}, {"ref": "bethgitau/housing-information-analysis", "kernel_id": "80521693"}, {"ref": "nadsqqcom/robust-housing-price-prediction-pipeline", "kernel_id": "80545849"}, {"ref": "abdulqadirmahmood/house-pricing-prediction", "kernel_id": "80046929"}, {"ref": "siddharthsinghongc/exercise-machine-learning-competitions", "kernel_id": "80750709"}, {"ref": "santihdzs/exercise-machine-learning-competitions", "kernel_id": "80322112"}, {"ref": "chiranjeevimchiru/exercise-introduction", "kernel_id": "80788340"}, {"ref": "chiranjeevimchiru/exercise-missing-values", "kernel_id": "80963061"}, {"ref": "syndicate2k/housing-prices-lightautoml-blind-test", "kernel_id": "80391564"}, {"ref": "adrientcht/housing-prices-score-14000", "kernel_id": "80912444"}, {"ref": "adrientcht/housing-price-15600", "kernel_id": "80764596"}, {"ref": "dnyalrsli/exercise-machine-learning-competitions", "kernel_id": "80010761"}, {"ref": "hamzalogicai/ml-exercise-categorical-variables", "kernel_id": "80410096"}, {"ref": "dhaneshbb/exercise-model-validation", "kernel_id": "80303349"}, {"ref": "dhaneshbb/exercise-your-first-machine-learning-model", "kernel_id": "80303171"}, {"ref": "mwinaryasepindiarto/exercise-data-leakage", "kernel_id": "80505657"}, {"ref": "gonzaloriosbarcelo/exercise-machine-learning-competitions", "kernel_id": "80053589"}, {"ref": "abhishekmaurya9118/exercise-your-first-machine-learning-model", "kernel_id": "80012566"}, {"ref": "svetlanamaykova/exercise-your-first-machine-learning-model", "kernel_id": "80863477"}, {"ref": "chris1n/exercise-machine-learning-competitions", "kernel_id": "80467235"}, {"ref": "anvesharohatgi/house-pricing", "kernel_id": "80214069"}, {"ref": "jamiedcollins/house-prices-analysis", "kernel_id": "80171018"}, {"ref": "ngxuandang/homeprice-nguyen-xuan-dang", "kernel_id": "80573688"}, {"ref": "shigeokitamura/housing-prices-with-xgb", "kernel_id": "80685142"}, {"ref": "ubella/exercise-cross-validation", "kernel_id": "80624858"}, {"ref": "ubella/exercise-categorical-variables", "kernel_id": "80622174"}, {"ref": "raj992722/exercise-categorical-variables", "kernel_id": "80826907"}, {"ref": "raj992722/exercise-missing-values", "kernel_id": "80693451"}, {"ref": "raj992722/exercise-introduction", "kernel_id": "80687932"}, {"ref": "raj992722/randomforestmodel", "kernel_id": "80687443"}, {"ref": "raj992722/exercise-xgboost", "kernel_id": "80959842"}, {"ref": "raj992722/exercise-cross-validation", "kernel_id": "80866946"}, {"ref": "sohilaayman/exercise-random-forests", "kernel_id": "80284829"}, {"ref": "sohilaayman/exercise-machine-learning-competitions", "kernel_id": "80284921"}, {"ref": "azrilfahmiardi/random-forest-housingprice", "kernel_id": "80214539"}, {"ref": "ugagaga/notebook3e447a36d1", "kernel_id": "80735049"}, {"ref": "andrew256/stacking-rf-mlp-solution", "kernel_id": "80997754"}, {"ref": "tanishq08/exercise-introduction", "kernel_id": "80835752"}, {"ref": "tnr1337/house-prices-best-solution", "kernel_id": "80668789"}, {"ref": "gastoncreci/gen-ai-intensive-course-capstone-2025-submission", "kernel_id": "80902445"}, {"ref": "hamnakaleemds/exercise-machine-learning-competitions", "kernel_id": "80360834"}, {"ref": "boolwin/house-price-pred", "kernel_id": "80785617"}, {"ref": "nvtphong200401/v-housepredict", "kernel_id": "80505518"}, {"ref": "ashborne004/competition", "kernel_id": "80017861"}, {"ref": "nilesh2042/exercise-your-first-machine-learning-model", "kernel_id": "80360111"}, {"ref": "muntaha7med/house-pricing-data-analysis", "kernel_id": "80718875"}, {"ref": "marcopederzoliflores/exercise-categorical-variables", "kernel_id": "80611000"}, {"ref": "guillepgm/exercise-machine-learning-competitions", "kernel_id": "80022410"}, {"ref": "fatimaaa05/exercise-machine-learning-competitions", "kernel_id": "80023453"}, {"ref": "ximenayaelmuizhuerta/exercise-machine-learning-competitions", "kernel_id": "80031300"}, {"ref": "eduardooterodaz/kaggl", "kernel_id": "80384311"}, {"ref": "andressalinas10/exercise-missing-values", "kernel_id": "80383801"}, {"ref": "bernardogarzasurez/exercise-machine-learning-competitions", "kernel_id": "80320452"}, {"ref": "cnhtbi/exercise-pipelines", "kernel_id": "80673886"}, {"ref": "pragyaagarwal15/exercise-machine-learning-competitions", "kernel_id": "80743443"}, {"ref": "saharelgendy/exercise-your-first-machine-learning-model", "kernel_id": "80453413"}, {"ref": "hassanraza26/top-1-housing-price-eda-random-for-everyone", "kernel_id": "80337018"}, {"ref": "nguyenvansa/exercise-machine-learning-competitions", "kernel_id": "80762563"}, {"ref": "yurinovichenkov/notebook781ef37103", "kernel_id": "80954428"}, {"ref": "antonifilarowski/xgboost-for-housing", "kernel_id": "80643101"}, {"ref": "abiabid/predicting-house-prices", "kernel_id": "80399077"}, {"ref": "rahayuditirajayanty/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "80193112"}, {"ref": "nikkizabel/exercise-model-validation", "kernel_id": "80082757"}, {"ref": "nikkizabel/exercise-random-forests", "kernel_id": "80087192"}, {"ref": "nikkizabel/exercise-underfitting-and-overfitting", "kernel_id": "80085389"}, {"ref": "chandnipadia/exercise-model-validation", "kernel_id": "80098048"}, {"ref": "chandnipadia/exercise-underfitting-and-overfitting", "kernel_id": "80100059"}, {"ref": "chandnipadia/exercise-random-forests", "kernel_id": "80101359"}, {"ref": "chandnipadia/exercise-machine-learning-competitions", "kernel_id": "80101686"}, {"ref": "chandnipadia/exercise-your-first-machine-learning-model", "kernel_id": "80095897"}, {"ref": "chandnipadia/exercise-categorical-variables", "kernel_id": "80600630"}, {"ref": "chandnipadia/exercise-pipelines", "kernel_id": "80604066"}, {"ref": "chandnipadia/exercise-cross-validation", "kernel_id": "80613302"}, {"ref": "chandnipadia/exercise-introduction", "kernel_id": "80591930"}, {"ref": "chandnipadia/exercise-missing-values", "kernel_id": "80597107"}, {"ref": "chandnipadia/exercise-xgboost", "kernel_id": "80831272"}, {"ref": "marbofr/exercise-machine-learning-competitions", "kernel_id": "80688336"}, {"ref": "vaibhavramaseshadri/housing-prices-project-373", "kernel_id": "80938938"}, {"ref": "victoriacabrerag/housepricing-gradient", "kernel_id": "81600245"}, {"ref": "sofiasaibert/notebook458c23eff1", "kernel_id": "81043375"}, {"ref": "jeonghyunsong/predict-housing-prices", "kernel_id": "81382219"}, {"ref": "nazilasaeednejad/notebook123555a2b6", "kernel_id": "81512597"}, {"ref": "mukesh2010/exercise-introduction", "kernel_id": "81387966"}, {"ref": "elvinglawu/kaggle-ames-housing-walkthrough-notebook", "kernel_id": "81549015"}, {"ref": "ghbdtn/house-price-prediction-catboost", "kernel_id": "81172921"}, {"ref": "krishhd1/exercise-machine-learning-competitions", "kernel_id": "81830658"}, {"ref": "notnishank/housing-prices-competition", "kernel_id": "81435321"}, {"ref": "mahdimashayekhi/housing-prices-competitions", "kernel_id": "81721529"}, {"ref": "shivakumare/exercise-machine-learning-competitions", "kernel_id": "81491476"}, {"ref": "vladislavizov/effbedff20eff0e5e4e0f2e5ebfc", "kernel_id": "81273232"}, {"ref": "trimadas/lada2", "kernel_id": "81182884"}, {"ref": "goldenserzh/notebook166a9173ba", "kernel_id": "81098796"}, {"ref": "ksyasha/house-ml", "kernel_id": "81168036"}, {"ref": "ehsanbouji/exercise-model-validation", "kernel_id": "81929797"}, {"ref": "ehsanbouji/exercise-your-first-machine-learning-model", "kernel_id": "81918926"}, {"ref": "ehsanbouji/exercise-underfitting-and-overfitting", "kernel_id": "81997619"}, {"ref": "laiba13/exercise-machine-learning-competitions", "kernel_id": "81947939"}, {"ref": "laiba13/exercise-underfitting-and-overfitting", "kernel_id": "81947438"}, {"ref": "laiba13/exercise-random-forests", "kernel_id": "81947750"}, {"ref": "laiba13/exercise-model-validation", "kernel_id": "81946545"}, {"ref": "laiba13/exercise-your-first-machine-learning-model", "kernel_id": "81945238"}, {"ref": "polinashevtsova1/notebookfc58fec78c", "kernel_id": "81171775"}, {"ref": "svetlanamaykova/exercise-model-validation", "kernel_id": "81066484"}, {"ref": "svetlanamaykova/exercise-underfitting-and-overfitting", "kernel_id": "81786891"}, {"ref": "svetlanamaykova/exercise-random-forests", "kernel_id": "81790759"}, {"ref": "svetlanamaykova/exercise-machine-learning-competitions", "kernel_id": "81791038"}, {"ref": "alexanderkas/stacking", "kernel_id": "81045587"}, {"ref": "caseyjohnsonrs/housing-prices-catboost", "kernel_id": "81042464"}, {"ref": "cristianecheverri/exercise-missing-values", "kernel_id": "81796734"}, {"ref": "alinamironova/predicting-house-prices", "kernel_id": "81324234"}, {"ref": "oquangthun/housing-price-predict", "kernel_id": "81480424"}, {"ref": "rohanraman01/exercise-machine-learning-competitions", "kernel_id": "81081069"}, {"ref": "rohanraman01/exercise-random-forests", "kernel_id": "81074221"}, {"ref": "rohanraman01/exercise-underfitting-and-overfitting", "kernel_id": "81069421"}, {"ref": "rohanraman01/exercise-model-validation", "kernel_id": "81068493"}, {"ref": "rohanraman01/exercise-your-first-machine-learning-model", "kernel_id": "81013482"}, {"ref": "chipohx/lab2-model-catboost", "kernel_id": "81313717"}, {"ref": "youssefffmuhammad/exercise-your-first-machine-learning-model", "kernel_id": "81910723"}, {"ref": "mernawalid/exercise-random-forests", "kernel_id": "81910733"}, {"ref": "mernawalid/exercise-machine-learning-competitions", "kernel_id": "81911071"}, {"ref": "mernawalid/exercise-model-validation", "kernel_id": "81319111"}, {"ref": "mernawalid/exercise-your-first-machine-learning-model", "kernel_id": "81312995"}, {"ref": "andrew256/stacking", "kernel_id": "81054112"}, {"ref": "williamwillj/exercise-machine-learning-competitions", "kernel_id": "81027066"}, {"ref": "vlcupher/laboratornaya2", "kernel_id": "81295978"}, {"ref": "error0xc00007b/catboostregressor-and-filling-na-values", "kernel_id": "81309418"}, {"ref": "ramysafwatgad/exercise-machine-learning-competitions", "kernel_id": "81714956"}, {"ref": "yaquiramos/exercise-machine-learning-competitions", "kernel_id": "81262870"}, {"ref": "johncookies/randomforestregressor", "kernel_id": "81380373"}, {"ref": "andreywinr/house-pricing-random-forest", "kernel_id": "81292303"}, {"ref": "juanespinozablanco/exercise-your-first-machine-learning-model", "kernel_id": "81989352"}, {"ref": "juanespinozablanco/exercise-model-validation", "kernel_id": "81990682"}, {"ref": "juanespinozablanco/exercise-underfitting-and-overfitting", "kernel_id": "81992211"}, {"ref": "juanespinozablanco/exercise-random-forests", "kernel_id": "81993115"}, {"ref": "juanespinozablanco/exercise-categorical-variables", "kernel_id": "81998952"}, {"ref": "juanespinozablanco/exercise-pipelines", "kernel_id": "81999000"}, {"ref": "juanespinozablanco/exercise-cross-validation", "kernel_id": "81999019"}, {"ref": "juanespinozablanco/exercise-xgboost", "kernel_id": "81999028"}, {"ref": "juanespinozablanco/exercise-data-leakage", "kernel_id": "81999047"}, {"ref": "juanespinozablanco/exercise-machine-learning-competitions", "kernel_id": "81994578"}, {"ref": "juanespinozablanco/exercise-introduction", "kernel_id": "81996527"}, {"ref": "juanespinozablanco/exercise-missing-values", "kernel_id": "81996792"}, {"ref": "johnkihoro/house-price-prediction", "kernel_id": "81142033"}, {"ref": "nimaeshaghi/exercise-categorical-variables", "kernel_id": "81226325"}, {"ref": "nimaeshaghi/exercise-missing-values", "kernel_id": "81223838"}, {"ref": "nimaeshaghi/exercise-introduction", "kernel_id": "81223046"}, {"ref": "nimaeshaghi/exercise-pipelines", "kernel_id": "81289156"}, {"ref": "nimaeshaghi/exercise-machine-learning-competitions", "kernel_id": "81168529"}, {"ref": "pablosolanavalencia/exercise-pipelines", "kernel_id": "81316339"}, {"ref": "gabrielsoto10/gabriel-soto-alejo-final", "kernel_id": "81790880"}, {"ref": "andressalinas10/exercise-xgboost", "kernel_id": "81793814"}, {"ref": "martngmezrey/final-code", "kernel_id": "81315805"}, {"ref": "ezzeldienmahmoud/exercise-your-first-machine-learning-model", "kernel_id": "81911181"}, {"ref": "hassanraza26/exercise-model-validation", "kernel_id": "81627687"}, {"ref": "hassanraza26/exercise-underfitting-and-overfitting", "kernel_id": "81628182"}, {"ref": "hassanraza26/exercise-machine-learning-competitions", "kernel_id": "81628905"}, {"ref": "hassanraza26/exercise-random-forests", "kernel_id": "81628688"}, {"ref": "hassanraza26/exercise-your-first-machine-learning-model", "kernel_id": "81622123"}, {"ref": "ranjanrakesh51/exercise-machine-learning-competitions", "kernel_id": "81245359"}, {"ref": "chernylovelas/notebook7c81763198", "kernel_id": "81273812"}, {"ref": "lopikkir/notebook4bf3ec0dd9", "kernel_id": "81231853"}, {"ref": "olegpotapov89/notebook482de051d2", "kernel_id": "81530822"}, {"ref": "alekseybatalov/notebookf4a69755e0", "kernel_id": "81302474"}, {"ref": "talha13j/exercise-introduction", "kernel_id": "81425934"}, {"ref": "denismassyorov/notebook4600ff16b2", "kernel_id": "81086386"}, {"ref": "zoomr3/house-price-pred", "kernel_id": "81346495"}, {"ref": "soumyadeepsaha999/exercise-missing-values", "kernel_id": "81531106"}, {"ref": "soumyadeepsaha999/exercise-introduction", "kernel_id": "81519562"}, {"ref": "soumyadeepsaha999/exercise-machine-learning-competitions", "kernel_id": "81513670"}, {"ref": "astra142/notebook452f54c614", "kernel_id": "81127373"}, {"ref": "dovgalstepan/notebook792464331d", "kernel_id": "81154227"}, {"ref": "alkhor/notebooka74f6f671a", "kernel_id": "81161668"}, {"ref": "ganertdi/labaaa", "kernel_id": "81210761"}, {"ref": "nocleum/notebook7ee566d66e", "kernel_id": "81150518"}, {"ref": "zczhao2025/exercise-missing-values", "kernel_id": "81284338"}, {"ref": "lindokuhleyende/exercise-your-first-machine-learning-model", "kernel_id": "81429415"}, {"ref": "xranitelduri/notebook4069feca85", "kernel_id": "81382218"}, {"ref": "ugurozbiberci/machine-learning", "kernel_id": "81938534"}, {"ref": "joshuaaruleba/exercise-machine-learning-competitions", "kernel_id": "81306923"}, {"ref": "edwinsoftwaredev/housing-prices-linear-regression", "kernel_id": "81399729"}, {"ref": "absalem/exercise-machine-learning-competitions", "kernel_id": "81238557"}, {"ref": "prasadnarasimhan/exercise-missing-values", "kernel_id": "82171355"}, {"ref": "tasnimjakir/housing-price-predictions", "kernel_id": "82325807"}, {"ref": "ragib310/exercise-cross-validation", "kernel_id": "82825415"}, {"ref": "ragib310/exercise-xgboost", "kernel_id": "82836260"}, {"ref": "denysskyrda/exercise-random-forests", "kernel_id": "82770615"}, {"ref": "mycoleb/house-prices", "kernel_id": "82705662"}, {"ref": "nurzhankurmangaliyev/house-pricing", "kernel_id": "82745356"}, {"ref": "ehsanbouji/exercise-random-forests", "kernel_id": "82542176"}, {"ref": "ehsanbouji/exercise-machine-learning-competitions", "kernel_id": "82544731"}, {"ref": "laiba13/exercise-data-leakage", "kernel_id": "82350126"}, {"ref": "laiba13/exercise-categorical-variables", "kernel_id": "82333492"}, {"ref": "laiba13/exercise-cross-validation", "kernel_id": "82346283"}, {"ref": "laiba13/exercise-xgboost", "kernel_id": "82347871"}, {"ref": "laiba13/exercise-pipelines", "kernel_id": "82342960"}, {"ref": "laiba13/exercise-introduction", "kernel_id": "82283439"}, {"ref": "laiba13/exercise-missing-values", "kernel_id": "82284006"}, {"ref": "rafaelwhoa/notebooke2cb8cc0fe", "kernel_id": "82649707"}, {"ref": "huikangjiang/feature-engineering-resnet-score-15000", "kernel_id": "82979048"}, {"ref": "maxher123/simple-linear-regression", "kernel_id": "82041039"}, {"ref": "abdullahbutt1234/exercise-introduction", "kernel_id": "82257369"}, {"ref": "lyyuui/cs116-modelling", "kernel_id": "82241101"}, {"ref": "omghart/housing-prices-final", "kernel_id": "82436561"}, {"ref": "cristianecheverri/exercise-categorical-variables", "kernel_id": "82569549"}, {"ref": "rosannaaaa/exercise-xgboost", "kernel_id": "82342870"}, {"ref": "rajabudeenahamedm/exercise-categorical-variables", "kernel_id": "82793963"}, {"ref": "dheerajdanu07/housing-prices", "kernel_id": "82885228"}, {"ref": "roshan123kumar/kaggle-notebook-rank-614", "kernel_id": "82612539"}, {"ref": "sohilaayman/exercise-pipelines", "kernel_id": "82834236"}, {"ref": "sohilaayman/exercise-cross-validation", "kernel_id": "82837785"}, {"ref": "sohilaayman/exercise-data-leakage", "kernel_id": "82838376"}, {"ref": "sohilaayman/exercise-xgboost", "kernel_id": "82838088"}, {"ref": "sohilaayman/exercise-categorical-variables", "kernel_id": "82823818"}, {"ref": "sohilaayman/exercise-introduction", "kernel_id": "82822409"}, {"ref": "sohilaayman/exercise-missing-values", "kernel_id": "82823200"}, {"ref": "alyelghrbawi/exercise-random-forests", "kernel_id": "82519615"}, {"ref": "alyelghrbawi/exercise-machine-learning-competitions", "kernel_id": "82519646"}, {"ref": "alyelghrbawi/exercise-your-first-machine-learning-model", "kernel_id": "82519281"}, {"ref": "alyelghrbawi/exercise-model-validation", "kernel_id": "82519352"}, {"ref": "alyelghrbawi/exercise-underfitting-and-overfitting", "kernel_id": "82519572"}, {"ref": "ahmedamrminato/exercise-your-first-machine-learning-model", "kernel_id": "82572722"}, {"ref": "ahmedamrminato/exercise-model-validation", "kernel_id": "82573004"}, {"ref": "harukariku/housing-prices", "kernel_id": "82469972"}, {"ref": "samyakshaha/housing-prices-all-features", "kernel_id": "82150671"}, {"ref": "samyakshaha/house-prices-pipelines", "kernel_id": "82356475"}, {"ref": "canozensoy/getting-started-housing-prices", "kernel_id": "82247485"}, {"ref": "adamsmasherm/housing-prices-adam", "kernel_id": "82032879"}, {"ref": "aadityakadam2110/exercise-missing-values", "kernel_id": "82714938"}, {"ref": "yusufozpolat/exercise-missing-values", "kernel_id": "82520978"}, {"ref": "mariamatefrefaat/exercise-model-validation", "kernel_id": "82088648"}, {"ref": "mariamatefrefaat/exercise-your-first-machine-learning-model", "kernel_id": "82087590"}, {"ref": "mariamatefrefaat/exercise-random-forests", "kernel_id": "82223304"}, {"ref": "mariamatefrefaat/exercise-machine-learning-competitions", "kernel_id": "82223782"}, {"ref": "mariamatefrefaat/exercise-underfitting-and-overfitting", "kernel_id": "82219965"}, {"ref": "youssefmohamedyousef/exercise-underfitting-and-overfitting", "kernel_id": "82345294"}, {"ref": "youssefmohamedyousef/exercise-model-validation", "kernel_id": "82344888"}, {"ref": "youssefmohamedyousef/exercise-your-first-machine-learning-model", "kernel_id": "82344392"}, {"ref": "saharelgendy/exercise-model-validation", "kernel_id": "82290243"}, {"ref": "saharelgendy/exercise-underfitting-and-overfitting", "kernel_id": "82291415"}, {"ref": "saharelgendy/exercise-random-forests", "kernel_id": "82291696"}, {"ref": "saharelgendy/exercise-machine-learning-competitions", "kernel_id": "82291884"}, {"ref": "margak95/housing-prices-linear-regression-vs-xgboost", "kernel_id": "82566934"}, {"ref": "jvittormp/housing-prices", "kernel_id": "82435145"}, {"ref": "coralcarlsson/exercise-your-first-machine-learning-model", "kernel_id": "82412588"}, {"ref": "anandpi/housing-prices-using-keras", "kernel_id": "82143501"}, {"ref": "araslanovtimur/exercise-xgboost", "kernel_id": "82157051"}, {"ref": "nataliaost/exercise-pipelines", "kernel_id": "82170932"}, {"ref": "talha13j/exercise-cross-validation-done", "kernel_id": "82876784"}, {"ref": "khalidnizar/notebook760b3ee7c9", "kernel_id": "82840886"}, {"ref": "kruchininna/notebookcaf3313df6", "kernel_id": "82006867"}, {"ref": "heyanikita/exercise-machine-learning-competitions", "kernel_id": "82327065"}, {"ref": "mattzlau/exercise-random-forests", "kernel_id": "82400366"}, {"ref": "gabrielnodari/tentativa-01", "kernel_id": "82281780"}, {"ref": "ranaosamaa/exercise-random-forests", "kernel_id": "82363697"}, {"ref": "ranaosamaa/exercise-machine-learning-competitions", "kernel_id": "82364251"}, {"ref": "ranaosamaa/exercise-underfitting-and-overfitting", "kernel_id": "82360616"}, {"ref": "ranaosamaa/exercise-model-validation", "kernel_id": "82359623"}, {"ref": "ranaosamaa/exercise-your-first-machine-learning-model", "kernel_id": "82357402"}, {"ref": "bonifasiussinurat/exercise-machine-learning-competitions", "kernel_id": "82776873"}, {"ref": "assuojha/exercise-model-validation", "kernel_id": "82621719"}, {"ref": "tarakhkaloalexandr/notebook42456d1eb4", "kernel_id": "82759068"}, {"ref": "jgsm00/exercise-model-validation", "kernel_id": "83630106"}, {"ref": "jgsm00/exercise-underfitting-and-overfitting", "kernel_id": "83630161"}, {"ref": "jgsm00/exercise-random-forests", "kernel_id": "83630217"}, {"ref": "jgsm00/exercise-machine-learning-competitions", "kernel_id": "83630252"}, {"ref": "log1c0/notebook3d5fd517e3", "kernel_id": "83407329"}, {"ref": "berrinbilgin/house-price-prediction-notebook-step-1", "kernel_id": "83659736"}, {"ref": "earlpeterjg/housing-prices-competition-using-random-forest", "kernel_id": "83357562"}, {"ref": "samudralasaharsha/end-to-end-machine-learning-project", "kernel_id": "83817363"}, {"ref": "annatar1987/housing-prices-competition-v1-simple", "kernel_id": "83620612"}, {"ref": "declanmckenna/house-prices", "kernel_id": "83500244"}, {"ref": "gomisand/exercise-your-first-machine-learning-model", "kernel_id": "83274568"}, {"ref": "thejascc12/exercise-missing-values", "kernel_id": "83179546"}, {"ref": "abdelrahmanelharouny/exercise-machine-learning-competitions", "kernel_id": "83117874"}, {"ref": "ferdiansakti/exercise-introduction", "kernel_id": "83044233"}, {"ref": "lucymcveigh/housing-prices-training-competition-13121-mae", "kernel_id": "83328336"}, {"ref": "lucymcveigh/housing-prices-competition-neuralnet-edition", "kernel_id": "83332547"}, {"ref": "ashikamanohar/exercise-machine-learning-competitions", "kernel_id": "83146005"}, {"ref": "mrrogueknight/14-exercise-your-first-machine-learning-model", "kernel_id": "83886279"}, {"ref": "mrrogueknight/15-exercise-model-validation", "kernel_id": "83958908"}, {"ref": "partar/house-price-prediction", "kernel_id": "83286594"}, {"ref": "partar/house-price", "kernel_id": "83509146"}, {"ref": "ivanmur/house-price", "kernel_id": "83489058"}, {"ref": "ritankarmondal/exercise-missing-values", "kernel_id": "83779674"}, {"ref": "mustafaergut/exercise-machine-learning-competitions", "kernel_id": "83657066"}, {"ref": "izzatikhair/exercise-missing-values", "kernel_id": "83667463"}, {"ref": "karansadhu25/exercise-machine-learning-competitions", "kernel_id": "83151818"}, {"ref": "abhijeetkc/exercise-categorical-variables", "kernel_id": "83387008"}, {"ref": "glebkabachevskiy/ensembles-tasks", "kernel_id": "83311783"}, {"ref": "glebkabachevskiy/ensembles-tasks-f678f2", "kernel_id": "83726863"}, {"ref": "mehulchavan/housing-prices-3", "kernel_id": "83138771"}, {"ref": "aas377/notebook6d5430064b", "kernel_id": "83824090"}, {"ref": "peterbelletieri/exercise-machine-learning-competitions", "kernel_id": "83688813"}, {"ref": "peterbelletieri/exercise-random-forests", "kernel_id": "83688709"}, {"ref": "peterbelletieri/exercise-underfitting-and-overfitting", "kernel_id": "83682627"}, {"ref": "peterbelletieri/exercise-your-first-machine-learning-model", "kernel_id": "83684809"}, {"ref": "peterbelletieri/exercise-model-validation", "kernel_id": "83685727"}, {"ref": "burakcivelek/housing-prices-randomforestregressor", "kernel_id": "83605864"}, {"ref": "kauanbuzone/exercise-machine-learning-competitions", "kernel_id": "83255066"}, {"ref": "lilsolar/exercise-categorical-variables", "kernel_id": "83678562"}, {"ref": "madebyjeremlee/exercise-your-first-machine-learning-model", "kernel_id": "83739213"}, {"ref": "moussapascalkone/exercise-machine-learning-competitions", "kernel_id": "83683193"}, {"ref": "adamfishman7/final-project-bua-302", "kernel_id": "83611956"}, {"ref": "yuvrajdeshmukh/exercise-machine-learning-competitions", "kernel_id": "84264100"}, {"ref": "ragib310/exercise-data-leakage", "kernel_id": "84119946"}, {"ref": "elmozamilelamir/xgboost", "kernel_id": "84208593"}, {"ref": "shivanibhandari767/exercise-introduction", "kernel_id": "84986145"}, {"ref": "nodetective/exercise-model-validation", "kernel_id": "84610330"}, {"ref": "nodetective/exercise-underfitting-and-overfitting", "kernel_id": "84617436"}, {"ref": "nodetective/exercise-random-forests", "kernel_id": "84617985"}, {"ref": "ninawolodkowicz/final-project-bua-302-gradient-boosting-model", "kernel_id": "84359915"}, {"ref": "santihdzs/notebook730ebaa28d", "kernel_id": "84734857"}, {"ref": "zaritron/test1", "kernel_id": "84842938"}, {"ref": "juanfelipesolorzano/exercise-machine-learning-competitions", "kernel_id": "84915045"}, {"ref": "mrrogueknight/18-exercise-machine-learning-competitions", "kernel_id": "84603106"}, {"ref": "mrrogueknight/17-exercise-random-forests", "kernel_id": "84602068"}, {"ref": "mrrogueknight/16-exercise-underfitting-and-overfitting", "kernel_id": "84442397"}, {"ref": "mehnajakter/exercise-machine-learning-competitions", "kernel_id": "84716537"}, {"ref": "yusufbatuhanalgl/xgboost-house-price-predict", "kernel_id": "84190560"}, {"ref": "abdullahalisalem/basic-data-exploration", "kernel_id": "84408368"}, {"ref": "rafalsypniewski/exercise-your-first-machine-learning-model", "kernel_id": "84212542"}, {"ref": "gurpreetvij/basic-ml-model", "kernel_id": "84795055"}, {"ref": "tejass0809/exercise-missing-values", "kernel_id": "84683671"}, {"ref": "nicolsestradaromero/housing-prices-competition", "kernel_id": "84043291"}, {"ref": "scarlara/final-kaggle-competition-2", "kernel_id": "84566209"}, {"ref": "vladimirpierareyes/notebook5b2c2a98c4", "kernel_id": "84715112"}, {"ref": "zinoakaaa/house-price-abdelhak", "kernel_id": "84919798"}, {"ref": "kemalongun12/exercise-missing-values", "kernel_id": "84359754"}, {"ref": "kemalongun12/exercise-introduction", "kernel_id": "84358898"}, {"ref": "kemalongun12/exercise-data-leakage", "kernel_id": "84671682"}, {"ref": "kemalongun12/exercise-xgboost", "kernel_id": "84671367"}, {"ref": "kemalongun12/exercise-pipelines", "kernel_id": "84617044"}, {"ref": "kemalongun12/exercise-categorical-variables", "kernel_id": "84616310"}, {"ref": "kemalongun12/exercise-cross-validation", "kernel_id": "84617553"}, {"ref": "santiagomartnvences/proyecto", "kernel_id": "84226307"}, {"ref": "josucarlos/final-kaggle-competition-df", "kernel_id": "84225842"}, {"ref": "marcopederzoliflores/final-competition-marco-pederzoli", "kernel_id": "84731710"}, {"ref": "avelinoagustin/housing-prices-competition", "kernel_id": "84729108"}, {"ref": "guillepgm/submission1", "kernel_id": "84727207"}, {"ref": "mauropoblanno/notebook607a931699", "kernel_id": "84357335"}, {"ref": "luisdanielgi/exercise-machine-learning-competitions", "kernel_id": "84555671"}, {"ref": "yusufozpolat/exercise-categorical-variables", "kernel_id": "84155864"}, {"ref": "abdulrehmanchatha/exercise-cross-validation", "kernel_id": "84832320"}, {"ref": "abdulrehmanchatha/exercise-pipelines", "kernel_id": "84832066"}, {"ref": "abdulrehmanchatha/exercise-xgboost", "kernel_id": "84833933"}, {"ref": "abdulrehmanchatha/exercise-data-leakage", "kernel_id": "84834227"}, {"ref": "abdulrehmanchatha/exercise-missing-values", "kernel_id": "84827336"}, {"ref": "abdulrehmanchatha/exercise-introduction", "kernel_id": "84826174"}, {"ref": "abdulrehmanchatha/exercise-categorical-variables", "kernel_id": "84829104"}, {"ref": "abdulrehmanchatha/exercise-underfitting-and-overfitting", "kernel_id": "84521464"}, {"ref": "abdulrehmanchatha/exercise-random-forests", "kernel_id": "84522062"}, {"ref": "abdulrehmanchatha/exercise-machine-learning-competitions", "kernel_id": "84528653"}, {"ref": "abdulrehmanchatha/exercise-model-validation", "kernel_id": "84519158"}, {"ref": "abdulrehmanchatha/exercise-first-machine-learning-model", "kernel_id": "84518250"}, {"ref": "manyasinghal912/4th-rank-housing-prices-feature-engineering", "kernel_id": "84695498"}, {"ref": "olegpotapov89/notebookd3e6d661e4", "kernel_id": "84264563"}, {"ref": "hasnainyaqooob/sales-price-prediction-using-ml-xgb", "kernel_id": "84496879"}, {"ref": "nguynvnduy001/exercise-xgboost", "kernel_id": "84485858"}, {"ref": "nguynvnduy001/exercise-data-leakage", "kernel_id": "84487698"}, {"ref": "nguynvnduy001/exercise-cross-validation", "kernel_id": "84380990"}, {"ref": "nguynvnduy001/exercise-pipelines", "kernel_id": "84379641"}, {"ref": "xzffwy/notebook976631a48b", "kernel_id": "84395815"}, {"ref": "riddhimaiti/exercise-machine-learning-competitions", "kernel_id": "84184346"}, {"ref": "riddhimaiti/exercise-introduction", "kernel_id": "84568449"}, {"ref": "riddhimaiti/exercise-missing-values", "kernel_id": "84575934"}, {"ref": "riddhimaiti/exercise-pipelines", "kernel_id": "84790497"}, {"ref": "aminasadybek/exercise-machine-learning-competitions", "kernel_id": "84410364"}, {"ref": "sakhikb/exercise-machine-learning-competitions", "kernel_id": "84928448"}, {"ref": "nedomad/baranov-lab2-1", "kernel_id": "84258672"}, {"ref": "vishnugopikanth/final-project-bua-302", "kernel_id": "84615489"}, {"ref": "ababaeva/labochka-2", "kernel_id": "84591457"}, {"ref": "abelsteven/exercise-machine-learning-competitions", "kernel_id": "84635753"}, {"ref": "abelsteven/exercise-data-leakage", "kernel_id": "84802086"}, {"ref": "danielhofman/final-project-bua-302", "kernel_id": "84482414"}, {"ref": "asdapurva06/exercise-machine-learning-competitions", "kernel_id": "84452035"}, {"ref": "supriya216/exercise-pipelines", "kernel_id": "84810600"}, {"ref": "supriya216/exercise-machine-learning-competitions", "kernel_id": "84702276"}, {"ref": "alexkorshunov23/lab2sbn", "kernel_id": "84604966"}, {"ref": "aleynatemelkaya/exercise-your-first-machine-learning-model", "kernel_id": "84651504"}, {"ref": "xracoo/housing-prices-competition-predictions", "kernel_id": "85332731"}, {"ref": "xracoo/ml-competition", "kernel_id": "85270519"}, {"ref": "stephaniekreutz/start-3d-graphs-with-plotly", "kernel_id": "85634032"}, {"ref": "badarchenhchimeg/exercise-your-first-machine-learning-model", "kernel_id": "85201364"}, {"ref": "nishthachoubey/exercise-underfitting-and-overfitting", "kernel_id": "85760303"}, {"ref": "nishthachoubey/exercise-random-forests", "kernel_id": "85760662"}, {"ref": "nishthachoubey/exercise-machine-learning-competitions", "kernel_id": "85760764"}, {"ref": "nishthachoubey/exercise-your-first-machine-learning-model", "kernel_id": "85759587"}, {"ref": "nishthachoubey/exercise-model-validation", "kernel_id": "85759959"}, {"ref": "raffareyhan/exercise-machine-learning-competitions", "kernel_id": "85072030"}, {"ref": "nitinmuragi/exercise-model-validation", "kernel_id": "85083578"}, {"ref": "nitinmuragi/exercise-your-first-machine-learning-model", "kernel_id": "85031637"}, {"ref": "thasinupoma/exercise-your-first-machine-learning-model", "kernel_id": "85545185"}, {"ref": "soumyarajchatterjee/exercise-5-random-forrests", "kernel_id": "85701826"}, {"ref": "soumyarajchatterjee/exercise-6-ml-competitions", "kernel_id": "85701928"}, {"ref": "soumyarajchatterjee/exercise-1-ml-intermediate", "kernel_id": "85887155"}, {"ref": "soumyarajchatterjee/exercise-3-model-validation", "kernel_id": "85523518"}, {"ref": "soumyarajchatterjee/exercise-4-underfitting-and-overfitting", "kernel_id": "85582578"}, {"ref": "soumyarajchatterjee/exercise-2-making-a-ml-model", "kernel_id": "85112894"}, {"ref": "ashimneupane1/exercise-machine-learning-competitions", "kernel_id": "85559017"}, {"ref": "justinebanks/housing-prices-w-lasso-regression", "kernel_id": "85970671"}, {"ref": "oksanaturii/newhouseprice", "kernel_id": "85221826"}, {"ref": "mianjunaid0001/exercise-your-first-machine-learning-model", "kernel_id": "85533623"}, {"ref": "aronbisrat/exercise-cross-validation", "kernel_id": "85206288"}, {"ref": "aronbisrat/exercise-xgboost", "kernel_id": "85523578"}, {"ref": "anmeetakaur/exercise-random-forests", "kernel_id": "85348383"}, {"ref": "jainilspatel/house-price-prediction", "kernel_id": "85367239"}, {"ref": "johnpaulssebwana/exercise-categorical-variables-777bf4", "kernel_id": "85673867"}, {"ref": "johnpaulssebwana/exercise-categorical-variables", "kernel_id": "85667932"}, {"ref": "burak93/exercise-categorical-variables", "kernel_id": "85039856"}, {"ref": "dmitryslomov/dmitrys-housing-prices-notebook", "kernel_id": "85751250"}, {"ref": "abdulqadarmanasawala/exercise-missing-values", "kernel_id": "85754851"}, {"ref": "abdulqadarmanasawala/exercise-pipelines", "kernel_id": "85895315"}, {"ref": "zxw111/notebookda08895904", "kernel_id": "85399951"}, {"ref": "ciangoodwin/first-attempt-at-an-xgbregression-model-top-6", "kernel_id": "85688671"}, {"ref": "hiessie/exercise-housing-prices", "kernel_id": "85618387"}, {"ref": "iamdivv/exercise-categorical-variables", "kernel_id": "85344453"}, {"ref": "mohammadrezaf/exercise-missing-values", "kernel_id": "85265880"}, {"ref": "mohammadrezaf/exercise-machine-learning-competitions", "kernel_id": "85096339"}, {"ref": "mohammadrezaf/exercise-introduction", "kernel_id": "85149824"}, {"ref": "piyushkashyap650/housing-price-xgboost", "kernel_id": "85713744"}, {"ref": "yinuoli2024/house-pricing", "kernel_id": "85277559"}, {"ref": "tanejasakhil/house-prediction-competition", "kernel_id": "85417682"}, {"ref": "zakariaaithssain/exercise-pipelines", "kernel_id": "85158215"}, {"ref": "divyasriparuvada/exercise-machine-learning-competitions", "kernel_id": "85665042"}, {"ref": "kshitijzure/exercise-introduction", "kernel_id": "85616409"}, {"ref": "ranl703/exercise-machine-learning-competitions", "kernel_id": "85291969"}, {"ref": "ranl703/exercise-random-forests", "kernel_id": "85291781"}, {"ref": "ranl703/exercise-underfitting-and-overfitting", "kernel_id": "85291372"}, {"ref": "ranl703/exercise-your-first-machine-learning-model", "kernel_id": "85289105"}, {"ref": "ranl703/exercise-model-validation", "kernel_id": "85290455"}, {"ref": "hamza1973/exercise-machine-learning-competitions", "kernel_id": "85873551"}, {"ref": "xiangli1986/house-prices-do-you-prefer-them-high-or-low", "kernel_id": "85158403"}, {"ref": "govind99999/exercise-machine-learning-competitions", "kernel_id": "85868212"}, {"ref": "malachiflynn/exercise-missing-values", "kernel_id": "85224081"}, {"ref": "wangqianmiao888/team-work", "kernel_id": "85443277"}, {"ref": "zonoonjlalmelsadeg/exercise-your-first-machine-learning-model", "kernel_id": "85461896"}, {"ref": "amrendra1423/exercise-categorical-variables", "kernel_id": "85869493"}, {"ref": "amrendra1423/exercise-missing-values", "kernel_id": "85864953"}, {"ref": "amrendra1423/exercise-introduction", "kernel_id": "85862804"}, {"ref": "panduwicaksono2025/home-data-saleprice-for-ml-eda", "kernel_id": "85365447"}, {"ref": "dnyaneshwaryedke/exercise-your-first-machine-learning-model", "kernel_id": "85018637"}, {"ref": "yuodajima/exercise-machine-learning-competitions", "kernel_id": "85744660"}, {"ref": "aisaif7/exercise-machine-learning-competitions", "kernel_id": "85476849"}, {"ref": "sarath28/exercise-machine-learning-competitions", "kernel_id": "85431474"}, {"ref": "gunapriyad23/exercise-model-validation", "kernel_id": "85489504"}, {"ref": "gunapriyad23/exercise-your-first-machine-learning-model", "kernel_id": "85478485"}, {"ref": "gunapriyad23/exercise-introduction", "kernel_id": "85781728"}, {"ref": "gunapriyad23/exercise-underfitting-and-overfitting", "kernel_id": "85650740"}, {"ref": "gunapriyad23/exercise-random-forests", "kernel_id": "85680079"}, {"ref": "gunapriyad23/exercise-machine-learning-competitions", "kernel_id": "85680355"}, {"ref": "gunapriyad23/exercise-missing-values", "kernel_id": "85843260"}, {"ref": "gunapriyad23/exercise-categorical-variables", "kernel_id": "85934831"}, {"ref": "mohamedbastawi/housep-bastawi", "kernel_id": "86698207"}, {"ref": "vibhavrai/housingpriceprediction", "kernel_id": "86941140"}, {"ref": "yasmendarwish/yasmen-7", "kernel_id": "86700578"}, {"ref": "kharisihsan/exercise-machine-learning-competitions", "kernel_id": "86879604"}, {"ref": "arinado/intermediate-ml-course-all-code-in-one-notebook", "kernel_id": "86869894"}, {"ref": "hamzalogicai/exercise-cross-validation", "kernel_id": "86063513"}, {"ref": "hamzalogicai/exercise-xgboost", "kernel_id": "86383807"}, {"ref": "nadaelhawary/houseprice-nada", "kernel_id": "86698315"}, {"ref": "jasoncoderjia/housing-prices-tutorial-for-beginners", "kernel_id": "86601632"}, {"ref": "raoulmushitu/house-prices-intermediate", "kernel_id": "86117749"}, {"ref": "osmantuncel01/exercise-data-leakage", "kernel_id": "86543960"}, {"ref": "ayahdawoud/house-regressor", "kernel_id": "86637036"}, {"ref": "amitsahu01234/ames-housing-price-prediction-ml-pipeline", "kernel_id": "86322094"}, {"ref": "harshvardhane/exercise-introduction", "kernel_id": "86625749"}, {"ref": "harshvardhane/exercise-random-forests", "kernel_id": "86620755"}, {"ref": "harshvardhane/exercise-pipelines", "kernel_id": "86691829"}, {"ref": "kritikapawar511/exercise-your-first-machine-learning-model", "kernel_id": "86351460"}, {"ref": "gauripatil2299/exercise-random-forests", "kernel_id": "86397021"}, {"ref": "gauripatil2299/exercise-machine-learning-competitions", "kernel_id": "86397163"}, {"ref": "sahilislam007/house-price-prediction-ml-analysis", "kernel_id": "86863034"}, {"ref": "bhaktikale17/exercise-machine-learning-competitions", "kernel_id": "86081804"}, {"ref": "patrickhuang00017/ml-regression", "kernel_id": "86938517"}, {"ref": "advikkk/exercise-introduction", "kernel_id": "86938723"}, {"ref": "kushanshmishra/exercise-introduction", "kernel_id": "86848053"}, {"ref": "radwaelshater/housing", "kernel_id": "86698318"}, {"ref": "nehmeetpatel/housing-prices-prediction", "kernel_id": "86281610"}, {"ref": "shivangssr/notebook4f17720402", "kernel_id": "86136938"}, {"ref": "zaremohammadreza/exercise-categorical-variables", "kernel_id": "86930462"}, {"ref": "zaremohammadreza/exercise-pipelines", "kernel_id": "86996824"}, {"ref": "zaremohammadreza/exercise-missing-values", "kernel_id": "86723408"}, {"ref": "zaremohammadreza/exercise-introduction", "kernel_id": "86719868"}, {"ref": "zaremohammadreza/exercise-model-validation", "kernel_id": "86656913"}, {"ref": "zaremohammadreza/exercise-your-first-machine-learning-model", "kernel_id": "86654108"}, {"ref": "zaremohammadreza/exercise-underfitting-and-overfitting", "kernel_id": "86665441"}, {"ref": "zaremohammadreza/exercise-random-forests", "kernel_id": "86667134"}, {"ref": "zaremohammadreza/exercise-machine-learning-competitions", "kernel_id": "86667931"}, {"ref": "yuliiarom23/exercise-machine-learning-competitions", "kernel_id": "86437563"}, {"ref": "lenaamrzaghloul/exercise-missing-values", "kernel_id": "86216011"}, {"ref": "sofiagt25/exercise-pipelines", "kernel_id": "86578524"}, {"ref": "sofiagt25/exercise-categorical-variables", "kernel_id": "86574984"}, {"ref": "sofiagt25/exercise-cross-validation", "kernel_id": "86579926"}, {"ref": "shamkumar1307/home-price-prediction", "kernel_id": "86132050"}, {"ref": "shamkumar1307/exercise-machine-learning-competitions", "kernel_id": "86212818"}, {"ref": "shantanupanchal/exercise-machine-learning-competitions", "kernel_id": "86483889"}, {"ref": "aayushbenani/exercise-categorical-variables", "kernel_id": "86310770"}, {"ref": "payaldhokane/exercise-model-validation", "kernel_id": "86921164"}, {"ref": "payaldhokane/exercise-underfitting-and-overfitting", "kernel_id": "86921188"}, {"ref": "payaldhokane/exercise-random-forests", "kernel_id": "86921201"}, {"ref": "gunapriyad23/exercise-cross-validation", "kernel_id": "86231709"}, {"ref": "gunapriyad23/exercise-pipelines", "kernel_id": "86186833"}, {"ref": "gunapriyad23/exercise-xgboost", "kernel_id": "86327478"}, {"ref": "gunapriyad23/exercise-data-leakage", "kernel_id": "86380845"}, {"ref": "muhammadabdullah1612/exercise-underfitting-and-overfitting", "kernel_id": "86300033"}, {"ref": "muhammadabdullah1612/exercise-model-validation", "kernel_id": "86297325"}, {"ref": "muhammadabdullah1612/exercise-your-first-machine-learning-model", "kernel_id": "86290929"}, {"ref": "muhammadabdullah1612/exercise-machine-learning-competitions", "kernel_id": "86334414"}, {"ref": "muhammadabdullah1612/exercise-random-forests", "kernel_id": "86333729"}, {"ref": "muhammadabdullah1612/exercise-introduction", "kernel_id": "86436083"}, {"ref": "muhammadabdullah1612/exercise-missing-values", "kernel_id": "86444546"}, {"ref": "muhammadabdullah1612/exercise-categorical-variables", "kernel_id": "86648091"}, {"ref": "xiaotao89/housing-prices-competition", "kernel_id": "86285161"}, {"ref": "neilcasas/exercise-machine-learning-competitions", "kernel_id": "86284529"}, {"ref": "dhruvsachd3va/exercise-underfitting-and-overfitting", "kernel_id": "86815446"}, {"ref": "dhruvsachd3va/exercise-random-forests", "kernel_id": "86816245"}, {"ref": "dhruvsachd3va/exercise-machine-learning-competitions", "kernel_id": "86816541"}, {"ref": "dhruvsachd3va/exercise-model-validation", "kernel_id": "86812612"}, {"ref": "dhruvsachd3va/exercise-your-first-machine-learning-model", "kernel_id": "86811152"}, {"ref": "dhruvsachd3va/exercise-missing-values", "kernel_id": "86881602"}, {"ref": "dhruvsachd3va/exercise-categorical-variables", "kernel_id": "86925247"}, {"ref": "dhruvsachd3va/exercise-pipelines", "kernel_id": "86974516"}, {"ref": "islambouira/exercise-machine-learning-competitions", "kernel_id": "86542841"}, {"ref": "shulapy/exercise-first-machine-learning-competitions", "kernel_id": "86448226"}, {"ref": "dorfuchs10/exercise-introduction", "kernel_id": "86552335"}, {"ref": "mohamedtharwat11/housep-mohamed-1", "kernel_id": "86714886"}, {"ref": "ahmedyehiaabozaid/housep-ahmed", "kernel_id": "86698345"}, {"ref": "shaimaanasr/house-prices-1", "kernel_id": "86698310"}, {"ref": "omnyama7moud/omnyamahmoud", "kernel_id": "86702185"}, {"ref": "eng3laa/notebookc05ec1b875", "kernel_id": "86701230"}, {"ref": "mosayedsh57/house-p-ahmed", "kernel_id": "86700321"}, {"ref": "ronenfilho/roi-housing-prices-feature-engineering", "kernel_id": "87002170"}, {"ref": "yuvrajdeshmukh/exercise-missing-values", "kernel_id": "87848456"}, {"ref": "yuvrajdeshmukh/exercise-introduction", "kernel_id": "87837008"}, {"ref": "mohamedbastawi/house-model", "kernel_id": "87037458"}, {"ref": "zhantemirasanov/feature-reconciliation-report", "kernel_id": "87993742"}, {"ref": "destianiintancendani/housing-prices-prediction", "kernel_id": "87840748"}, {"ref": "caglarcetin/housepriceanalysis", "kernel_id": "87866866"}, {"ref": "haroonazharkhan/exercise-underfitting-and-overfitting", "kernel_id": "87750072"}, {"ref": "amineipad/house-price-test", "kernel_id": "87442964"}, {"ref": "chiranjeevimchiru/exercise-underfitting-and-overfitting", "kernel_id": "87284407"}, {"ref": "chiranjeevimchiru/exercise-machine-learning-competitions", "kernel_id": "87322150"}, {"ref": "chiranjeevimchiru/exercise-random-forests", "kernel_id": "87321767"}, {"ref": "chiranjeevimchiru/exercise-your-first-machine-learning-model", "kernel_id": "87219774"}, {"ref": "chiranjeevimchiru/exercise-model-validation", "kernel_id": "87221536"}, {"ref": "mariamramadanabdel/house-model", "kernel_id": "87047009"}, {"ref": "yasmendarwish/first-exploring", "kernel_id": "87345570"}, {"ref": "yasmendarwish/yasmen-house", "kernel_id": "87211768"}, {"ref": "ayushikashyap/house-pricing-detailed-eda-and-modelling", "kernel_id": "87423179"}, {"ref": "vanshugautam/exercise-machine-learning-competitions", "kernel_id": "87322793"}, {"ref": "nadaelhawary/nada-houseprice", "kernel_id": "87111621"}, {"ref": "benjicarr/exercise-introduction", "kernel_id": "87967672"}, {"ref": "singhshiviii/exercise-model-validation", "kernel_id": "87681646"}, {"ref": "singhshiviii/housing-prices-competion-submision-1", "kernel_id": "87678120"}, {"ref": "singhshiviii/exercise-machine-learning-competitions", "kernel_id": "87689106"}, {"ref": "muhammaddanyalmalik/machine-learning", "kernel_id": "87776246"}, {"ref": "anishwagle2023/classification", "kernel_id": "87521756"}, {"ref": "engyrefaai/exercise-machine-learning-competitions", "kernel_id": "87430355"}, {"ref": "engyrefaai/exercise-random-forests", "kernel_id": "87429739"}, {"ref": "muhammedderric/ridge-regression-on-ames-housing-91-r-score", "kernel_id": "87961745"}, {"ref": "uzairyounas/top-1-housing-price-eda-random-for-everyone", "kernel_id": "87930552"}, {"ref": "jaikardam/exercise-machine-learning-competitions", "kernel_id": "87996968"}, {"ref": "abbasi1214/exercise-random-forests", "kernel_id": "87392673"}, {"ref": "abbasi1214/exercise-machine-learning-competitions", "kernel_id": "87392892"}, {"ref": "rajpatel09/exercise-introduction", "kernel_id": "87983897"}, {"ref": "hkgilee/exercise-machine-learning-competitions", "kernel_id": "87320920"}, {"ref": "hkgilee/exercise-introduction", "kernel_id": "87378459"}, {"ref": "hkgilee/exercise-missing-values", "kernel_id": "87379651"}, {"ref": "hkgilee/exercise-categorical-variables", "kernel_id": "87448384"}, {"ref": "hkgilee/exercise-pipelines", "kernel_id": "87822767"}, {"ref": "judespellacy2/exercise-missing-values", "kernel_id": "87954095"}, {"ref": "zaremohammadreza/exercise-cross-validation", "kernel_id": "87004032"}, {"ref": "zaremohammadreza/exercise-xgboost", "kernel_id": "87005909"}, {"ref": "zaremohammadreza/exercise-data-leakage", "kernel_id": "87040865"}, {"ref": "bithikapali/exercise-underfitting-and-overfitting", "kernel_id": "87991851"}, {"ref": "hijbullahx/exercise-machine-learning-competitions", "kernel_id": "87768302"}, {"ref": "mohsin07/top-1-housing-price-eda-random-for-everyone", "kernel_id": "87937171"}, {"ref": "fatmanageh/housing-model", "kernel_id": "87417985"}, {"ref": "fatmanageh/house-model", "kernel_id": "87213815"}, {"ref": "fatmanageh/housing-prices", "kernel_id": "87110928"}, {"ref": "dhruvsachd3va/exercise-xgboost", "kernel_id": "87073569"}, {"ref": "dhruvsachd3va/exercise-cross-validation", "kernel_id": "87072460"}, {"ref": "eyeswantraj74/exercise-model-validation", "kernel_id": "87100595"}, {"ref": "eyeswantraj74/exercise-machine-learning-competitions", "kernel_id": "87105378"}, {"ref": "arayzwasti/exercise-model-validation", "kernel_id": "87290518"}, {"ref": "bodard/exercise-introduction", "kernel_id": "87209754"}, {"ref": "bodard/exercise-missing-values", "kernel_id": "87211275"}, {"ref": "bodard/exercise-pipelines", "kernel_id": "87224077"}, {"ref": "mohamedtharwat11/house-model-5", "kernel_id": "87041137"}, {"ref": "mohamedtharwat11/mohamed-tharwat", "kernel_id": "87213814"}, {"ref": "ahmedyehiaabozaid/house", "kernel_id": "87038337"}, {"ref": "shaimaanasr/house-model-1", "kernel_id": "87038463"}, {"ref": "yousefali01/youssef-ali", "kernel_id": "87034318"}, {"ref": "yousefali01/notebook0b1c45d323", "kernel_id": "87284345"}, {"ref": "omnyama7moud/omnya-test", "kernel_id": "87226404"}, {"ref": "omnyama7moud/omnya-2t", "kernel_id": "87486626"}, {"ref": "sama92004/notebook137132aa5a", "kernel_id": "87131118"}, {"ref": "sama92004/samaaaa", "kernel_id": "87124144"}, {"ref": "nhatanhlai/house-price-ml-competition-submission", "kernel_id": "87844515"}, {"ref": "mariammo7amed/mariam-model", "kernel_id": "87115880"}, {"ref": "mariammo7amed/m4riam-mohamed", "kernel_id": "87039309"}, {"ref": "abdallahsayyed/abdallah2", "kernel_id": "87040348"}, {"ref": "hmnshudhmn24/exercise-data-leakage", "kernel_id": "87831713"}, {"ref": "hmnshudhmn24/exercise-xgboost", "kernel_id": "87831868"}, {"ref": "hmnshudhmn24/exercise-pipelines", "kernel_id": "87832130"}, {"ref": "hmnshudhmn24/exercise-categorical-variables", "kernel_id": "87800154"}, {"ref": "hmnshudhmn24/exercise-introduction", "kernel_id": "87792580"}, {"ref": "hmnshudhmn24/exercise-model-validation", "kernel_id": "87461526"}, {"ref": "hmnshudhmn24/exercise-your-first-machine-learning-model", "kernel_id": "87461425"}, {"ref": "hmnshudhmn24/exercise-underfitting-and-overfitting", "kernel_id": "87461651"}, {"ref": "hmnshudhmn24/exercise-random-forests", "kernel_id": "87461761"}, {"ref": "hmnshudhmn24/exercise-machine-learning-competitions", "kernel_id": "87461801"}, {"ref": "saivjay/exercise-your-first-machine-learning-model", "kernel_id": "87170769"}, {"ref": "sheelashishshah/exercise-model-validation", "kernel_id": "87084299"}, {"ref": "sheelashishshah/exercise-your-first-machine-learning-model", "kernel_id": "87083624"}, {"ref": "sheelashishshah/exercise-underfitting-and-overfitting", "kernel_id": "87085056"}, {"ref": "sheelashishshah/exercise-random-forests", "kernel_id": "87085284"}, {"ref": "sheelashishshah/exercise-machine-learning-competitions", "kernel_id": "87085371"}, {"ref": "darlie033/exercise-introduction", "kernel_id": "87206998"}, {"ref": "nikul1195/exercise-random-forests", "kernel_id": "87280094"}, {"ref": "nikul1195/exercise-machine-learning-competitions", "kernel_id": "87280339"}, {"ref": "mstonkus0/exercise-xgboost", "kernel_id": "87374057"}, {"ref": "zainarahman/housing-price-prediction", "kernel_id": "87811166"}, {"ref": "fatmashrife/exercise-machine-learning-competitions", "kernel_id": "87429777"}, {"ref": "tahasaber1/taha-saber-taha", "kernel_id": "87476841"}, {"ref": "tahasaber1/taha-garib", "kernel_id": "87489085"}, {"ref": "ryanzyy/house-price-ml-course", "kernel_id": "87940172"}, {"ref": "ayushmanlohani/exercise-machine-learning-competitions", "kernel_id": "87957782"}, {"ref": "yuvrajdeshmukh/housing-dataset-using-xg-boost", "kernel_id": "88487578"}, {"ref": "trixietacung/predicting-housing-price-with-rf", "kernel_id": "88285376"}, {"ref": "azeemajju/house-price-ml", "kernel_id": "88374582"}, {"ref": "moonlight2985/housing-saleprice-prediction", "kernel_id": "88262764"}, {"ref": "mohamedyousr86/housing-prices-prediction", "kernel_id": "88257524"}, {"ref": "yuchanko/exercise-model-validation", "kernel_id": "88131791"}, {"ref": "yuchanko/exercise-your-first-machine-learning-model", "kernel_id": "88129465"}, {"ref": "yuchanko/exercise-underfitting-and-overfitting", "kernel_id": "88190886"}, {"ref": "yuchanko/exercise-random-forests", "kernel_id": "88195107"}, {"ref": "yuchanko/exercise-missing-values", "kernel_id": "88359092"}, {"ref": "yuchanko/exercise-categorical-variables", "kernel_id": "88359094"}, {"ref": "yuchanko/exercise-pipelines", "kernel_id": "88359097"}, {"ref": "yuchanko/exercise-cross-validation", "kernel_id": "88359098"}, {"ref": "yuchanko/exercise-xgboost", "kernel_id": "88359100"}, {"ref": "yuchanko/exercise-data-leakage", "kernel_id": "88359101"}, {"ref": "vishwajithsomarampet/exercise-machine-learning-competitions", "kernel_id": "88327213"}, {"ref": "nitinmuragi/exercise-underfitting-and-overfitting", "kernel_id": "88261583"}, {"ref": "mrniceguy22/housing-prices-competition-final-attempt", "kernel_id": "88472179"}, {"ref": "bilalahmad9593492/exercise-machine-learning-competitions", "kernel_id": "88908091"}, {"ref": "umutgmlolu/exercise-machine-learning-competitions", "kernel_id": "88802732"}, {"ref": "umutgmlolu/exercise-introduction", "kernel_id": "88895454"}, {"ref": "sarahakbarali/exercise-random-forests", "kernel_id": "88969143"}, {"ref": "gauravkumar2525/exercise-underfitting-and-overfitting", "kernel_id": "88293737"}, {"ref": "gauravkumar2525/exercise-your-first-machine-learning-model", "kernel_id": "88292650"}, {"ref": "gauravkumar2525/exercise-model-validation", "kernel_id": "88293310"}, {"ref": "gauravkumar2525/exercise-random-forests", "kernel_id": "88294006"}, {"ref": "gauravkumar2525/exercise-machine-learning-competitions", "kernel_id": "88294383"}, {"ref": "nonamenosorry/houses-rdge-lasso-randf", "kernel_id": "88212465"}, {"ref": "abdulrahmankhalil1/exercise-random-forests", "kernel_id": "88216512"}, {"ref": "anilvenkat24/exercise-machine-learning-competitions", "kernel_id": "88365426"}, {"ref": "rodionyeltsoff/house-prices-regression", "kernel_id": "88458585"}, {"ref": "alemunenko/house-price-ml-pipeline-ipynb", "kernel_id": "88863592"}, {"ref": "stepanovmaxim98/middle-ml-lesson-4", "kernel_id": "88277966"}, {"ref": "stepanovmaxim98/middle-ml-lesson-3", "kernel_id": "88275182"}, {"ref": "stepanovmaxim98/middle-ml-lesson-7", "kernel_id": "88363980"}, {"ref": "stepanovmaxim98/middle-ml-lesson-5", "kernel_id": "88361013"}, {"ref": "stepanovmaxim98/middle-ml-lesson-6", "kernel_id": "88362497"}, {"ref": "ryqn00/notebook-for-housing-prices-competition-kaggle", "kernel_id": "88615658"}, {"ref": "harshdabhiz/housing-price-predictionsss", "kernel_id": "88436114"}, {"ref": "superbandy/full-model", "kernel_id": "88187530"}, {"ref": "anhlm027/linear-regression-housing-prices", "kernel_id": "88781359"}, {"ref": "peterbelletieri/exercise-introduction", "kernel_id": "88264740"}, {"ref": "sarangivenkat/exercise-random-forests", "kernel_id": "88571139"}, {"ref": "morganfisherai/exercise-missing-values", "kernel_id": "88387166"}, {"ref": "harshme3hta/housing-prices-2", "kernel_id": "88994233"}, {"ref": "zorornoa/housing-price", "kernel_id": "88433073"}, {"ref": "arayzwasti/exercise-missing-values", "kernel_id": "88573455"}, {"ref": "arayzwasti/housing-prices-competition-ali-arayz", "kernel_id": "88806668"}, {"ref": "paridhiturkar/house-pricing", "kernel_id": "88728268"}, {"ref": "vickymaurya121/exercise-machine-learning-competitions", "kernel_id": "88302610"}, {"ref": "angvalen/simple-tf-neural-network", "kernel_id": "88404720"}, {"ref": "volodymyrpotapenko/exercise-machine-learning-competitions", "kernel_id": "88016972"}, {"ref": "evatitan/exercise-machine-learning-competitions", "kernel_id": "88726784"}, {"ref": "m1rac0x/house-prices-pipeline-cross-validation-xgboost", "kernel_id": "88800073"}, {"ref": "funsiangyou/exercise-categorical-variables", "kernel_id": "88808669"}, {"ref": "matolebrassancho/exercise-machine-learning-competitions", "kernel_id": "88366160"}, {"ref": "komalshekhawat260405/exercise-your-first-machine-learning-model", "kernel_id": "88415048"}, {"ref": "sonirico/exercise-machine-learning-competitions", "kernel_id": "88730036"}, {"ref": "gouthamkasula/exercise-machine-learning-competitions", "kernel_id": "88917405"}, {"ref": "loraoswald/housing-price-prediction", "kernel_id": "89108791"}, {"ref": "jangrnenwald/glmnet-regression-for-housing-prices-in-r", "kernel_id": "89768869"}, {"ref": "rhsliza/exercise-your-first-machine-learning-model", "kernel_id": "89595447"}, {"ref": "stemosamaghandour/exercise-cross-validation", "kernel_id": "89333012"}, {"ref": "robot0x/house-pricing", "kernel_id": "89523138"}, {"ref": "varunkumarprabhakar/exercise-machine-learning-competitions", "kernel_id": "89905615"}, {"ref": "deaneshtakkallapati/home-prices-analysis", "kernel_id": "89825400"}, {"ref": "theallkeeeymist/exercise-data-leakage", "kernel_id": "89115257"}, {"ref": "hardikharsh/folds-houseprice", "kernel_id": "89315917"}, {"ref": "abbasi1214/exercise-introduction", "kernel_id": "89648506"}, {"ref": "shaddy9664/exercise-xgboost", "kernel_id": "89938824"}, {"ref": "shaddy9664/exercise-data-leakage", "kernel_id": "89939213"}, {"ref": "yonashabtamu/exercise-missing-values", "kernel_id": "89662623"}, {"ref": "tanhasaeeratamanna/exercise-your-first-machine-learning-model", "kernel_id": "89865476"}, {"ref": "vincentripken/applying-intro-to-ml-to-house-price-prediction", "kernel_id": "89270387"}, {"ref": "antonglushko1/notebooke574ddcf21", "kernel_id": "89614367"}, {"ref": "dasaboeh/exercise-xgboost", "kernel_id": "89253287"}, {"ref": "arayzwasti/exercise-pipelines", "kernel_id": "89173455"}, {"ref": "arayzwasti/exercise-categorical-variables", "kernel_id": "89171885"}, {"ref": "arayzwasti/house-price-prediction", "kernel_id": "89243760"}, {"ref": "tunahandemir173/kaggle-house-prices-xgboost-regression", "kernel_id": "89001147"}, {"ref": "littlegremlin/first-house-prediction-competition-notebook", "kernel_id": "89150073"}, {"ref": "mohamedbiqbal/housing-prices", "kernel_id": "89198958"}, {"ref": "srivardhanreddymin/exercise-your-first-machine-learning-model", "kernel_id": "89508491"}, {"ref": "satyasheelsingh/exercise-machine-learning-competitions", "kernel_id": "89555457"}, {"ref": "jaswantsinghagore/exercise-machine-learning-competitions", "kernel_id": "89489718"}, {"ref": "gpreda/exercise-xgboost", "kernel_id": "90365927"}, {"ref": "gpreda/exercise-pipelines", "kernel_id": "90365108"}, {"ref": "gpreda/exercise-cross-validation", "kernel_id": "90365305"}, {"ref": "mohamedelbaha/notebookb6cff4652b", "kernel_id": "90958775"}, {"ref": "shohruhbek/exercise-underfitting-and-overfitting", "kernel_id": "90564556"}, {"ref": "rhsliza/exercise-model-validation", "kernel_id": "90383148"}, {"ref": "tvnisxq/exploreyourdata-ipynb", "kernel_id": "90959726"}, {"ref": "chris12i2919/exercise-your-first-machine-learning-model", "kernel_id": "90977840"}, {"ref": "bishnukoirala05/notebookd6b69366a3", "kernel_id": "90535947"}, {"ref": "vincentripken/dp-r2-house-price-prediction", "kernel_id": "90792286"}, {"ref": "yupengpei/house-price", "kernel_id": "90338041"}, {"ref": "aayushisharma01/exercise-your-first-machine-learning-model", "kernel_id": "90884934"}, {"ref": "algorithmistyash/exercise-machine-learning-competitions", "kernel_id": "90970830"}, {"ref": "nazmiye/exercise-machine-learning-competitions", "kernel_id": "90118298"}, {"ref": "paijolemu/exercise-machine-learning-competitions", "kernel_id": "90911799"}, {"ref": "paijolemu/exercise-random-forests", "kernel_id": "90863779"}, {"ref": "paijolemu/exercise-underfitting-and-overfitting", "kernel_id": "90809834"}, {"ref": "paijolemu/exercise-model-validation", "kernel_id": "90668935"}, {"ref": "paijolemu/exercise-your-first-machine-learning-model", "kernel_id": "90548670"}, {"ref": "kenanghost/home-predict", "kernel_id": "90963350"}, {"ref": "neelimaborade/exercise-machine-learning-competitions", "kernel_id": "90049936"}, {"ref": "pratikkumarpandafsl/exercise-underfitting-and-overfitting", "kernel_id": "90638230"}, {"ref": "pratikkumarpandafsl/exercise-machine-learning-competitions", "kernel_id": "90638827"}, {"ref": "pratikkumarpandafsl/exercise-random-forests", "kernel_id": "90638662"}, {"ref": "pratikkumarpandafsl/exercise-your-first-machine-learning-model", "kernel_id": "90618372"}, {"ref": "pratikkumarpandafsl/exercise-model-validation", "kernel_id": "90635289"}, {"ref": "whyelement/housepricepridiction-d", "kernel_id": "90681905"}, {"ref": "syedabbasaliomer/exercise-machine-learning-competitions", "kernel_id": "90873857"}, {"ref": "gurjindersingh07/starting-of-compt", "kernel_id": "90756462"}, {"ref": "sangeetha007/exercise-your-first-machine-learning-model", "kernel_id": "91030018"}, {"ref": "martiritter/housing-prices-data-preprocessing", "kernel_id": "91912233"}, {"ref": "martiritter/housing-prices-description-preprocessing", "kernel_id": "91912408"}, {"ref": "derisnoor/exercise-machine-learning-competitions", "kernel_id": "91889937"}, {"ref": "mansuralishaik/beginner-project-plan-house-prices-prediction", "kernel_id": "91841316"}, {"ref": "stemosamaghandour/exercise-data-leakage", "kernel_id": "91716370"}, {"ref": "stemosamaghandour/exercise-xgboost", "kernel_id": "91388810"}, {"ref": "emreaydgn/exercise-model-validation", "kernel_id": "91423696"}, {"ref": "emreaydgn/exercise-machine-learning-competitions", "kernel_id": "91484376"}, {"ref": "emreaydgn/exercise-random-forests", "kernel_id": "91484138"}, {"ref": "emreaydgn/exercise-underfitting-and-overfitting", "kernel_id": "91481367"}, {"ref": "emreaydgn/exercise-introduction", "kernel_id": "91769951"}, {"ref": "emreaydgn/exercise-your-first-machine-learning-model", "kernel_id": "91000235"}, {"ref": "emreaydgn/exercise-missing-values", "kernel_id": "91819473"}, {"ref": "mdsadikujjamanshihab/exercise-underfitting-and-overfitting", "kernel_id": "91691846"}, {"ref": "mdsadikujjamanshihab/exercise-model-validation", "kernel_id": "91690106"}, {"ref": "mdsadikujjamanshihab/exercise-your-first-machine-learning-model", "kernel_id": "91675394"}, {"ref": "mdsadikujjamanshihab/housing-prices-competition", "kernel_id": "91510487"}, {"ref": "d1zzzzy/housepricespredictbymlp", "kernel_id": "91615318"}, {"ref": "aditi262806/exercise-introduction", "kernel_id": "91972956"}, {"ref": "aditi262806/exercise-missing-values", "kernel_id": "91980042"}, {"ref": "aditi262806/notebookb58933b0f2", "kernel_id": "91976160"}, {"ref": "shuyuli1126/exercise-categorical-variables", "kernel_id": "91717044"}, {"ref": "shuyuli1126/exercise-pipelines", "kernel_id": "91790141"}, {"ref": "shuyuli1126/exercise-cross-validation", "kernel_id": "91790716"}, {"ref": "shuyuli1126/exercise-xgboost", "kernel_id": "91791240"}, {"ref": "shuyuli1126/exercise-data-leakage", "kernel_id": "91791485"}, {"ref": "shuyuli1126/exercise-missing-values", "kernel_id": "91605201"}, {"ref": "shuyuli1126/exercise-introduction", "kernel_id": "91604616"}, {"ref": "bradonzeng/exercise-data-leakage", "kernel_id": "91790887"}, {"ref": "bradonzeng/exercise-cross-validation", "kernel_id": "91790632"}, {"ref": "bradonzeng/exercise-xgboost", "kernel_id": "91789916"}, {"ref": "bradonzeng/exercise-categorical-variables", "kernel_id": "91606106"}, {"ref": "adityamanjalkar/exercise-machine-learning-competitions", "kernel_id": "91068239"}, {"ref": "devanshmishra12/exercise-categorical-variables", "kernel_id": "91496128"}, {"ref": "lansonw/exercise-introduction", "kernel_id": "91604198"}, {"ref": "lansonw/exercise-missing-values", "kernel_id": "91605116"}, {"ref": "lansonw/exercise-xgboost", "kernel_id": "91697460"}, {"ref": "lansonw/exercise-cross-validation", "kernel_id": "91696732"}, {"ref": "lansonw/exercise-pipelines", "kernel_id": "91696251"}, {"ref": "lansonw/exercise-categorical-variables", "kernel_id": "91605990"}, {"ref": "lansonw/exercise-data-leakage", "kernel_id": "91789051"}, {"ref": "aloush1248/exercise-your-first-machine-learning-model", "kernel_id": "91524541"}, {"ref": "chris12i2919/exercise-model-validation", "kernel_id": "91221908"}, {"ref": "chris12i2919/exercise-underfitting-and-overfitting", "kernel_id": "91790183"}, {"ref": "chris12i2919/exercise-machine-learning-competitions", "kernel_id": "91791899"}, {"ref": "chris12i2919/exercise-random-forests", "kernel_id": "91791140"}, {"ref": "jerywr/exercise-data-leakage", "kernel_id": "91790924"}, {"ref": "jerywr/exercise-xgboost", "kernel_id": "91790208"}, {"ref": "jerywr/exercise-cross-validation", "kernel_id": "91789145"}, {"ref": "jerywr/exercise-missing-values", "kernel_id": "91606376"}, {"ref": "jerywr/exercise-categorical-variables", "kernel_id": "91695512"}, {"ref": "jerywr/exercise-pipelines", "kernel_id": "91696577"}, {"ref": "jerywr/exercise-introduction", "kernel_id": "91518273"}, {"ref": "albab12/feature-alchemy-transforming-raw-data-into-gold", "kernel_id": "91049098"}, {"ref": "nikhilchaudhary7108/random-forest-one-hot-and-target-encoding", "kernel_id": "91495942"}, {"ref": "hananefa/xgboost", "kernel_id": "91431222"}, {"ref": "monazare2025/exercise-machine-learning-competitions", "kernel_id": "91326924"}, {"ref": "honeysingh12coder/exercise-model-validation", "kernel_id": "91755938"}, {"ref": "albertzqwang/exercise-introduction", "kernel_id": "91604399"}, {"ref": "albertzqwang/exercise-xgboost", "kernel_id": "91789055"}, {"ref": "albertzqwang/exercise-data-leakage", "kernel_id": "91789304"}, {"ref": "albertzqwang/exercise-cross-validation", "kernel_id": "91788624"}, {"ref": "albertzqwang/exercise-pipelines", "kernel_id": "91788279"}, {"ref": "albertzqwang/exercise-categorical-variables", "kernel_id": "91695208"}, {"ref": "albertzqwang/exercise-missing-values", "kernel_id": "91610121"}, {"ref": "hello123zzz/notebook2e5893416f", "kernel_id": "91635221"}, {"ref": "lilylinlkjq/exercise-categorical-variables", "kernel_id": "91876314"}, {"ref": "lilylinlkjq/exercise-missing-values", "kernel_id": "91875023"}, {"ref": "shashwatsharmanine/exercise-model-validation", "kernel_id": "91234345"}, {"ref": "isaqqfq/exercise-introduction", "kernel_id": "91518239"}, {"ref": "isaqqfq/exercise-categorical-variables", "kernel_id": "91605619"}, {"ref": "isaqqfq/exercise-missing-values", "kernel_id": "91604885"}, {"ref": "isaqqfq/exercise-cross-validation", "kernel_id": "91788374"}, {"ref": "isaqqfq/exercise-xgboost", "kernel_id": "91788928"}, {"ref": "kkprabu/housing-prices-competition-2025", "kernel_id": "91217915"}, {"ref": "rawanessameldinfahmy/exercise-pipelines", "kernel_id": "91546449"}, {"ref": "jazmay/exercise-machine-learning-competitions", "kernel_id": "91054474"}, {"ref": "franciscomauricio/exercise-machine-learning-competitions", "kernel_id": "91883160"}, {"ref": "melodyli1123/exercise-missing-values", "kernel_id": "91604328"}, {"ref": "melodyli1123/exercise-data-leakage", "kernel_id": "91878221"}, {"ref": "melodyli1123/exercise-pipelines", "kernel_id": "91877642"}, {"ref": "melodyli1123/exercise-xgboost", "kernel_id": "91878169"}, {"ref": "melodyli1123/exercise-cross-validation", "kernel_id": "91877852"}, {"ref": "melodyli1123/exercise-categorical-variables", "kernel_id": "91877359"}, {"ref": "melodyli1123/exercise-introduction", "kernel_id": "91876418"}, {"ref": "kamingkc/exercise-categorical-variables", "kernel_id": "91789423"}, {"ref": "kamingkc/exercise-cross-validation", "kernel_id": "91790730"}, {"ref": "kamingkc/exercise-pipelines", "kernel_id": "91790520"}, {"ref": "kamingkc/exercise-data-leakage", "kernel_id": "91800392"}, {"ref": "kamingkc/exercise-xgboost", "kernel_id": "91800123"}, {"ref": "kamingkc/exercise-introduction", "kernel_id": "91518268"}, {"ref": "kamingkc/exercise-missing-values", "kernel_id": "91518725"}, {"ref": "lucywang128/exercise-cross-validation", "kernel_id": "91620465"}, {"ref": "sfsnia/exercise-categorical-variables", "kernel_id": "91801032"}, {"ref": "sfsnia/exercise-pipelines", "kernel_id": "91808466"}, {"ref": "sfsnia/exercise-missing-values", "kernel_id": "91788642"}, {"ref": "sfsnia/exercise-introduction", "kernel_id": "91788323"}, {"ref": "sfsnia/exercise-data-leakage", "kernel_id": "91843738"}, {"ref": "sfsnia/exercise-xgboost", "kernel_id": "91833523"}, {"ref": "sfsnia/exercise-cross-validation", "kernel_id": "91819422"}, {"ref": "ericzhang3214/exercise-pipelines", "kernel_id": "91788907"}, {"ref": "ericzhang3214/exercise-categorical-variables", "kernel_id": "91788583"}, {"ref": "ericzhang3214/exercise-cross-validation", "kernel_id": "91789327"}, {"ref": "ericzhang3214/exercise-data-leakage", "kernel_id": "91790235"}, {"ref": "ericzhang3214/exercise-xgboost", "kernel_id": "91789946"}, {"ref": "ericzhang3214/exercise-introduction", "kernel_id": "91696605"}, {"ref": "ericzhang3214/exercise-missing-values", "kernel_id": "91697128"}, {"ref": "liukaylon/exercise-introduction", "kernel_id": "91604284"}, {"ref": "liukaylon/exercise-missing-values", "kernel_id": "91605688"}, {"ref": "liukaylon/exercise-categorical-variables", "kernel_id": "91789597"}, {"ref": "liukaylon/exercise-pipelines", "kernel_id": "91790641"}, {"ref": "liukaylon/exercise-cross-validation", "kernel_id": "91877002"}, {"ref": "liukaylon/exercise-data-leakage", "kernel_id": "91878634"}, {"ref": "liukaylon/exercise-xgboost", "kernel_id": "91878241"}, {"ref": "suyangshawn/exercise-xgboost", "kernel_id": "91877069"}, {"ref": "suyangshawn/exercise-data-leakage", "kernel_id": "91877746"}, {"ref": "suyangshawn/exercise-cross-validation", "kernel_id": "91831839"}, {"ref": "suyangshawn/exercise-categorical-variables", "kernel_id": "91830788"}, {"ref": "suyangshawn/exercise-pipelines", "kernel_id": "91831454"}, {"ref": "suyangshawn/exercise-introduction", "kernel_id": "91694900"}, {"ref": "suyangshawn/exercise-missing-values", "kernel_id": "91695178"}, {"ref": "viviennew/exercise-categorical-variables", "kernel_id": "91790499"}, {"ref": "viviennew/exercise-pipelines", "kernel_id": "91886339"}, {"ref": "aerinhe1/exercise-data-leakage", "kernel_id": "91874513"}, {"ref": "aerinhe1/exercise-xgboost", "kernel_id": "91788294"}, {"ref": "aerinhe1/exercise-cross-validation", "kernel_id": "91695019"}, {"ref": "aerinhe1/exercise-pipelines", "kernel_id": "91694818"}, {"ref": "aerinhe1/exercise-categorical-variables", "kernel_id": "91605867"}, {"ref": "aerinhe1/exercise-introduction", "kernel_id": "91518618"}, {"ref": "aerinhe1/exercise-missing-values", "kernel_id": "91518931"}, {"ref": "diegosu/exercise-introduction", "kernel_id": "91694949"}, {"ref": "diegosu/exercise-data-leakage", "kernel_id": "91723695"}, {"ref": "diegosu/exercise-xgboost", "kernel_id": "91723265"}, {"ref": "diegosu/exercise-cross-validation", "kernel_id": "91722483"}, {"ref": "diegosu/exercise-missing-values", "kernel_id": "91713400"}, {"ref": "diegosu/exercise-categorical-variables", "kernel_id": "91713413"}, {"ref": "diegosu/exercise-pipelines", "kernel_id": "91713418"}, {"ref": "jimmyso/exercise-data-leakage", "kernel_id": "91606002"}, {"ref": "jimmyso/exercise-pipelines", "kernel_id": "91605203"}, {"ref": "jimmyso/exercise-xgboost", "kernel_id": "91605788"}, {"ref": "jimmyso/exercise-cross-validation", "kernel_id": "91605453"}, {"ref": "jimmyso/exercise-random-forests", "kernel_id": "91603902"}, {"ref": "jimmyso/exercise-introduction", "kernel_id": "91604136"}, {"ref": "jimmyso/exercise-categorical-variables", "kernel_id": "91604717"}, {"ref": "jimmyso/exercise-missing-values", "kernel_id": "91604311"}, {"ref": "jimmyso/exercise-your-first-machine-learning-model", "kernel_id": "91221146"}, {"ref": "jimmyso/exercise-model-validation", "kernel_id": "91221271"}, {"ref": "jimmyso/exercise-underfitting-and-overfitting", "kernel_id": "91221373"}, {"ref": "johnyyi/exercise-introduction", "kernel_id": "91642239"}, {"ref": "johnyyi/exercise-missing-values", "kernel_id": "91695570"}, {"ref": "johnyyi/exercise-categorical-variables", "kernel_id": "91697063"}, {"ref": "johnyyi/exercise-pipelines", "kernel_id": "91789565"}, {"ref": "johnyyi/exercise-cross-validation", "kernel_id": "91817136"}, {"ref": "johnyyi/exercise-xgboost", "kernel_id": "91874180"}, {"ref": "johnyyi/exercise-data-leakage", "kernel_id": "91876850"}, {"ref": "xiaomozhang/exercise-pipelines", "kernel_id": "91897751"}, {"ref": "xiaomozhang/exercise-categorical-variables", "kernel_id": "91896216"}, {"ref": "xiaomozhang/exercise-xgboost", "kernel_id": "91898249"}, {"ref": "xiaomozhang/exercise-missing-values", "kernel_id": "91790387"}, {"ref": "xiaomozhang/exercise-introduction", "kernel_id": "91695083"}, {"ref": "carlli16424/exercise-missing-values", "kernel_id": "91605460"}, {"ref": "carlli16424/exercise-introduction", "kernel_id": "91604803"}, {"ref": "jiaxinjiang11/exercise-missing-values", "kernel_id": "91606537"}, {"ref": "jiaxinjiang11/exercise-data-leakage", "kernel_id": "91785966"}, {"ref": "jiaxinjiang11/exercise-xgboost", "kernel_id": "91783883"}, {"ref": "jiaxinjiang11/exercise-pipelines", "kernel_id": "91760099"}, {"ref": "jiaxinjiang11/exercise-categorical-variables", "kernel_id": "91728553"}, {"ref": "rainzhang07/exercise-xgboost", "kernel_id": "91789849"}, {"ref": "rainzhang07/exercise-data-leakage", "kernel_id": "91790802"}, {"ref": "rainzhang07/exercise-missing-values", "kernel_id": "91695708"}, {"ref": "rainzhang07/exercise-introduction", "kernel_id": "91695244"}, {"ref": "rainzhang07/exercise-categorical-variables", "kernel_id": "91696154"}, {"ref": "rainzhang07/exercise-pipelines", "kernel_id": "91696517"}, {"ref": "rainzhang07/exercise-cross-validation", "kernel_id": "91696811"}, {"ref": "jackliiii1230/exercise-missing-values", "kernel_id": "91623101"}, {"ref": "jackliiii1230/exercise-categorical-variables", "kernel_id": "91787955"}, {"ref": "jackliiii1230/exercise-pipelines", "kernel_id": "91788591"}, {"ref": "jackliiii1230/exercise-cross-validation", "kernel_id": "91788744"}, {"ref": "jackliiii1230/exercise-xgboost", "kernel_id": "91789090"}, {"ref": "jackliiii1230/exercise-data-leakage", "kernel_id": "91789270"}, {"ref": "jackliiii1230/exercise-introduction", "kernel_id": "91605731"}, {"ref": "magicalnobody/exercise-cross-validation", "kernel_id": "91877591"}, {"ref": "magicalnobody/exercise-xgboost", "kernel_id": "91878020"}, {"ref": "magicalnobody/exercise-data-leakage", "kernel_id": "91878226"}, {"ref": "magicalnobody/exercise-categorical-variables", "kernel_id": "91831396"}, {"ref": "magicalnobody/exercise-missing-values", "kernel_id": "91830997"}, {"ref": "magicalnobody/exercise-pipelines", "kernel_id": "91832349"}, {"ref": "magicalnobody/exercise-introduction", "kernel_id": "91829791"}, {"ref": "tisonwu/exercise-missing-values", "kernel_id": "91606450"}, {"ref": "tisonwu/exercise-introduction", "kernel_id": "91605974"}, {"ref": "tisonwu/exercise-categorical-variables", "kernel_id": "91645971"}, {"ref": "tisonwu/exercise-data-leakage", "kernel_id": "91696548"}, {"ref": "tisonwu/exercise-xgboost", "kernel_id": "91696348"}, {"ref": "tisonwu/exercise-cross-validation", "kernel_id": "91696131"}, {"ref": "tisonwu/exercise-pipelines", "kernel_id": "91695903"}, {"ref": "bruce112/exercise-pipelines", "kernel_id": "91817055"}, {"ref": "bruce112/exercise-cross-validation", "kernel_id": "91817738"}, {"ref": "bruce112/exercise-data-leakage", "kernel_id": "91818257"}, {"ref": "bruce112/exercise-xgboost", "kernel_id": "91818043"}, {"ref": "bruce112/exercise-missing-values", "kernel_id": "91816493"}, {"ref": "bruce112/exercise-categorical-variables", "kernel_id": "91816720"}, {"ref": "bruce112/exercise-introduction", "kernel_id": "91518577"}, {"ref": "kevinnnnn2778/exercise-introduction", "kernel_id": "91605943"}, {"ref": "kevinnnnn2778/exercise-missing-values", "kernel_id": "91606610"}, {"ref": "kevinnnnn2778/exercise-pipelines", "kernel_id": "91878579"}, {"ref": "kevinnnnn2778/exercise-cross-validation", "kernel_id": "91885234"}, {"ref": "kevinnnnn2778/exercise-xgboost", "kernel_id": "91886904"}, {"ref": "kevinnnnn2778/exercise-data-leakage", "kernel_id": "91887214"}, {"ref": "kevinnnnn2778/exercise-categorical-variables", "kernel_id": "91877856"}, {"ref": "kaihohe/exercise-missing-values", "kernel_id": "91606255"}, {"ref": "kaihohe/exercise-categorical-variables", "kernel_id": "91606899"}, {"ref": "kaihohe/exercise-pipelines", "kernel_id": "91622555"}, {"ref": "kaihohe/exercise-cross-validation", "kernel_id": "91628298"}, {"ref": "kaihohe/exercise-data-leakage", "kernel_id": "91628985"}, {"ref": "kaihohe/exercise-introduction", "kernel_id": "91518448"}, {"ref": "abc218321331132/exercise-introduction", "kernel_id": "91518317"}, {"ref": "abc218321331132/exercise-missing-values", "kernel_id": "91606204"}, {"ref": "abc218321331132/exercise-categorical-variables", "kernel_id": "91645664"}, {"ref": "abc218321331132/exercise-pipelines", "kernel_id": "91788161"}, {"ref": "abc218321331132/exercise-data-leakage", "kernel_id": "91878103"}, {"ref": "abc218321331132/exercise-xgboost", "kernel_id": "91877287"}, {"ref": "abc218321331132/exercise-cross-validation", "kernel_id": "91876766"}, {"ref": "yoonicolas/exercise-missing-values", "kernel_id": "91605558"}, {"ref": "yoonicolas/exercise-introduction", "kernel_id": "91604308"}, {"ref": "willlli164788/exercise-introduction", "kernel_id": "91606618"}, {"ref": "allenyun311/exercise-missing-values", "kernel_id": "91693510"}, {"ref": "allenyun311/exercise-categorical-variables", "kernel_id": "91788449"}, {"ref": "allenyun311/exercise-xgboost", "kernel_id": "91790891"}, {"ref": "allenyun311/exercise-pipelines", "kernel_id": "91789728"}, {"ref": "allenyun311/exercise-cross-validation", "kernel_id": "91789990"}, {"ref": "allenyun311/exercise-introduction", "kernel_id": "91604820"}, {"ref": "allenyun311/exercise-data-leakage", "kernel_id": "91826708"}, {"ref": "elsapeng/exercise-categorical-variables", "kernel_id": "91790670"}, {"ref": "elsapeng/exercise-introduction", "kernel_id": "91789235"}, {"ref": "elsapeng/exercise-data-leakage", "kernel_id": "91794015"}, {"ref": "elsapeng/exercise-pipelines", "kernel_id": "91791594"}, {"ref": "elsapeng/exercise-cross-validation", "kernel_id": "91791868"}, {"ref": "elsapeng/exercise-xgboost", "kernel_id": "91792121"}, {"ref": "shawnshinibaba/exercise-pipelines", "kernel_id": "91915775"}, {"ref": "shawnshinibaba/exercise-cross-validation", "kernel_id": "91916535"}, {"ref": "shawnshinibaba/exercise-introduction", "kernel_id": "91874483"}, {"ref": "shawnshinibaba/exercise-missing-values", "kernel_id": "91875552"}, {"ref": "shawnshinibaba/exercise-categorical-variables", "kernel_id": "91877374"}, {"ref": "shawnshinibaba/exercise-xgboost", "kernel_id": "91917322"}, {"ref": "msohaibsiddiqui/exercise-model-validation", "kernel_id": "91543965"}, {"ref": "rkukuh/exercise-your-first-machine-learning-model", "kernel_id": "92129371"}, {"ref": "rkukuh/exercise-model-validation", "kernel_id": "92130653"}, {"ref": "rkukuh/exercise-underfitting-and-overfitting", "kernel_id": "92131232"}, {"ref": "rkukuh/exercise-random-forests", "kernel_id": "92131541"}, {"ref": "martiritter/housing-prices-prediction", "kernel_id": "92140066"}, {"ref": "rohitmandhyan/exercise-machine-learning-competitions", "kernel_id": "92355094"}, {"ref": "alimortezaie/housing-prices-competition", "kernel_id": "92551656"}, {"ref": "yogaamandaputra/exercise-categorical-variables", "kernel_id": "92872889"}, {"ref": "yogaamandaputra/exercise-missing-values", "kernel_id": "92865898"}, {"ref": "muhammadkhalied/house-price-prediction-simple-solution-top-dfdfe1", "kernel_id": "92494292"}, {"ref": "gamzenurkarali/exercise-machine-learning-competitions", "kernel_id": "92907542"}, {"ref": "barnonadas/housing-prices-predictor-1", "kernel_id": "92655875"}, {"ref": "edaerer/exercise-model-validation", "kernel_id": "92823777"}, {"ref": "edaerer/exercise-random-forests", "kernel_id": "92830751"}, {"ref": "mohammedsaalimansari/exercise-machine-learning-competitions", "kernel_id": "92920445"}, {"ref": "puipuimoon/housing-prcie", "kernel_id": "92427654"}, {"ref": "aloush1248/exercise-underfitting-and-overfitting", "kernel_id": "92771414"}, {"ref": "ethanleung666/house-price", "kernel_id": "92129905"}, {"ref": "udayanamipara/exercise-machine-learning-competitions", "kernel_id": "92042988"}, {"ref": "chris12i2919/exercise-introduction", "kernel_id": "92198233"}, {"ref": "zhannazemska/housing-prices-ml-pipeline", "kernel_id": "92925457"}, {"ref": "dexterxiao/housing-prices-estimation", "kernel_id": "92220539"}, {"ref": "madebyjeremlee/exercise-underfitting-and-overfitting", "kernel_id": "92268879"}, {"ref": "imashum/exercise-missing-values", "kernel_id": "92132646"}, {"ref": "asherkamal1/houses-w-scikit-learn", "kernel_id": "92082379"}, {"ref": "tashrif07/notebook8faff7a0a3", "kernel_id": "92552074"}, {"ref": "khalidjamour/predicting-house-prices-using-xgboost", "kernel_id": "92263589"}, {"ref": "alexvlasoff/housing-prices-svm-regression-12858-mae", "kernel_id": "92978843"}, {"ref": "franciscomauricio/exercise-missing-values", "kernel_id": "92035395"}, {"ref": "carlli16424/exercise-data-leakage", "kernel_id": "92104312"}, {"ref": "carlli16424/exercise-categorical-variables", "kernel_id": "92101421"}, {"ref": "carlli16424/exercise-pipelines", "kernel_id": "92102033"}, {"ref": "carlli16424/exercise-xgboost", "kernel_id": "92103305"}, {"ref": "carlli16424/exercise-cross-validation", "kernel_id": "92102459"}, {"ref": "yoonicolas/exercise-data-leakage", "kernel_id": "92102337"}, {"ref": "yoonicolas/exercise-xgboost", "kernel_id": "92102123"}, {"ref": "yoonicolas/exercise-pipelines", "kernel_id": "92101446"}, {"ref": "yoonicolas/exercise-cross-validation", "kernel_id": "92101646"}, {"ref": "yoonicolas/exercise-categorical-variables", "kernel_id": "92101218"}, {"ref": "willlli164788/exercise-missing-values", "kernel_id": "92074351"}, {"ref": "willlli164788/exercise-categorical-variables", "kernel_id": "92074454"}, {"ref": "willlli164788/exercise-data-leakage", "kernel_id": "92076600"}, {"ref": "willlli164788/exercise-xgboost", "kernel_id": "92075746"}, {"ref": "willlli164788/exercise-pipelines", "kernel_id": "92075079"}, {"ref": "willlli164788/exercise-cross-validation", "kernel_id": "92075329"}, {"ref": "mrsnowman0806/exercise-missing-values", "kernel_id": "92102515"}, {"ref": "nocarbonintelligence/housing-price", "kernel_id": "92432096"}, {"ref": "halimatamzat/exercise-your-first-machine-learning-model", "kernel_id": "92993430"}, {"ref": "khawater2003/exercise-your-first-machine-learning-model", "kernel_id": "92994684"}, {"ref": "khawater2003/exercise-your-first-machine-learning-model-78122e", "kernel_id": "92999092"}, {"ref": "hajarmohammed431/exercise-your-first-machine-learning-model", "kernel_id": "92939197"}, {"ref": "paulbrou/exercise-machine-learning-competitions", "kernel_id": "92970077"}, {"ref": "mainetibbs/exercise-machine-learning-competitions", "kernel_id": "92926059"}, {"ref": "imadcharradi/exercise-machine-learning-competitions", "kernel_id": "92444113"}, {"ref": "imadcharradi/exercise-introduction", "kernel_id": "92814675"}, {"ref": "danamesferalyami/exercise-your-first-machine-learning-model", "kernel_id": "92999794"}, {"ref": "priyamsaha17/predicting-house-prices-using-random-forest", "kernel_id": "93893544"}, {"ref": "yogaamandaputra/exercise-xgboost", "kernel_id": "93148092"}, {"ref": "yogaamandaputra/exercise-cross-validation", "kernel_id": "93146217"}, {"ref": "yogaamandaputra/exercise-data-leakage", "kernel_id": "93188097"}, {"ref": "jkuezudsfhh/exercise-machine-learning-competitions", "kernel_id": "93067811"}, {"ref": "monalisag77777/ml-model-first", "kernel_id": "93478450"}, {"ref": "mdsadikujjamanshihab/exercise-data-leakage", "kernel_id": "93580035"}, {"ref": "mdsadikujjamanshihab/exercise-xgboost", "kernel_id": "93565662"}, {"ref": "mdsadikujjamanshihab/exercise-cross-validation", "kernel_id": "93564162"}, {"ref": "mdsadikujjamanshihab/exercise-random-forests", "kernel_id": "93430802"}, {"ref": "mdsadikujjamanshihab/exercise-machine-learning-competitions", "kernel_id": "93432165"}, {"ref": "mdsadikujjamanshihab/exercise-introduction", "kernel_id": "93476709"}, {"ref": "mdsadikujjamanshihab/exercise-pipelines", "kernel_id": "93495985"}, {"ref": "mdsadikujjamanshihab/exercise-categorical-variables", "kernel_id": "93490323"}, {"ref": "mdsadikujjamanshihab/exercise-missing-values", "kernel_id": "93487309"}, {"ref": "vijeetdeliwala2/exercise-machine-learning-competitions", "kernel_id": "93014254"}, {"ref": "edaerer/exercise-categorical-variables", "kernel_id": "93597283"}, {"ref": "edaerer/exercise-missing-values", "kernel_id": "93590656"}, {"ref": "edaerer/exercise-cross-validation", "kernel_id": "93841443"}, {"ref": "edaerer/exercise-pipelines", "kernel_id": "93833766"}, {"ref": "datatalesbyagos/house-pricing-challenge", "kernel_id": "93602274"}, {"ref": "gandomsoltani/exercise-missing-values", "kernel_id": "93738328"}, {"ref": "taphere/housing-prices-competition", "kernel_id": "93550997"}, {"ref": "snehasaheesan/house-price-prediction", "kernel_id": "93908355"}, {"ref": "varunadithyasalunke/notebook189ac644df", "kernel_id": "93276895"}, {"ref": "nikunjsaini7/house-pricing-notebook", "kernel_id": "93994182"}, {"ref": "yetunkyaw/housing-prices", "kernel_id": "93416480"}, {"ref": "mikeywanzer/exercise-machine-learning-competitions", "kernel_id": "93370844"}, {"ref": "sagsan/housing-prices-with-ai-data-analysis-and-xgb", "kernel_id": "93318531"}, {"ref": "yoksamutr/exercise-categorical-variables", "kernel_id": "93722199"}, {"ref": "andreahintonegler/exercise-your-first-machine-learning-model", "kernel_id": "93424695"}, {"ref": "andreahintonegler/exercise-model-validation", "kernel_id": "93434518"}, {"ref": "andreahintonegler/exercise-underfitting-and-overfitting", "kernel_id": "93437807"}, {"ref": "andreahintonegler/exercise-random-forests", "kernel_id": "93439476"}, {"ref": "andreahintonegler/exercise-machine-learning-competitions", "kernel_id": "93440125"}, {"ref": "halimatamzat/exercise-underfitting-and-overfitting", "kernel_id": "93086180"}, {"ref": "halimatamzat/exercise-random-forests", "kernel_id": "93098455"}, {"ref": "khawater2003/exercise-model-validation", "kernel_id": "93489879"}, {"ref": "khawater2003/notebooke316597273", "kernel_id": "93598398"}, {"ref": "hajarmohammed431/exercise-model-validation", "kernel_id": "93247039"}, {"ref": "danamesferalyami/exercise-model-validation", "kernel_id": "93595414"}, {"ref": "navaneethakj/predicting-property-prices-a-data-driven-approach", "kernel_id": "94011863"}, {"ref": "aniani123/notebookdac2a1a6c8", "kernel_id": "94301426"}, {"ref": "edaerer/exercise-data-leakage", "kernel_id": "94124300"}, {"ref": "edaerer/exercise-xgboost", "kernel_id": "94119483"}, {"ref": "sofiemeyer/housing-regression-competition", "kernel_id": "94709422"}, {"ref": "aditi262806/exercise-categorical-variables", "kernel_id": "94217595"}, {"ref": "anuragyadav156/from-scratch-randomforest-price-prediction", "kernel_id": "94586966"}, {"ref": "kumkum068/exercise-introduction", "kernel_id": "94469704"}, {"ref": "whitenite/exercise-machine-learning-competitions", "kernel_id": "94575113"}, {"ref": "roy210005/exercise-machine-learning-competitions", "kernel_id": "94921827"}, {"ref": "roy210005/exercise-underfitting-and-overfitting", "kernel_id": "94918986"}, {"ref": "roy210005/exercise-model-validation", "kernel_id": "94917295"}, {"ref": "roy210005/exercise-your-first-machine-learning-model", "kernel_id": "94915637"}, {"ref": "anthromount/my-housing-prices-ml-playground", "kernel_id": "94107884"}, {"ref": "yagneshpujara/houses-price-predictions", "kernel_id": "94122428"}, {"ref": "maryams91101/exercise-model-validation", "kernel_id": "94155411"}, {"ref": "maryams91101/exercise-your-first-machine-learning-model", "kernel_id": "94128630"}, {"ref": "imashum/exercise-machine-learning-competitions", "kernel_id": "94744759"}, {"ref": "seifeldeen232/house-pricing-model", "kernel_id": "94231911"}, {"ref": "violetlinyyds/house-price-prediction-using-random-forest", "kernel_id": "94419540"}, {"ref": "usha7511/housingprices-regression", "kernel_id": "94501759"}, {"ref": "khawater2003/exercise-underfitting-and-overfitting", "kernel_id": "94241073"}, {"ref": "hajarmohammed431/notebooka9a70005bb", "kernel_id": "94374143"}, {"ref": "danamesferalyami/exercise-underfitting-and-overfitting", "kernel_id": "94233891"}, {"ref": "danamesferalyami/exercise-random-forests", "kernel_id": "94968644"}, {"ref": "zara718/housing-prices-submission", "kernel_id": "94915525"}, {"ref": "cornelpetrescu/1st-place-housing-prices-xgb-cat-krr", "kernel_id": "94503432"}, {"ref": "raudlatulfadhilah/exercise-your-first-machine-learning-model", "kernel_id": "94081134"}, {"ref": "raudlatulfadhilah/exercise-model-validation", "kernel_id": "94343872"}, {"ref": "raudlatulfadhilah/exercise-random-forests", "kernel_id": "94349361"}, {"ref": "raudlatulfadhilah/exercise-machine-learning-competitions", "kernel_id": "94350194"}, {"ref": "raudlatulfadhilah/exercise-underfitting-and-overfitting", "kernel_id": "94347701"}, {"ref": "berserkerwang/housingprice", "kernel_id": "94328979"}, {"ref": "ezzaldeenalhamoodi/exercise-your-first-machine-learning-model", "kernel_id": "94515095"}, {"ref": "ezzaldeenalhamoodi/exercise-model-validation", "kernel_id": "94517018"}, {"ref": "ezzaldeenalhamoodi/exercise-machine-learning-competitions", "kernel_id": "94519947"}, {"ref": "ezzaldeenalhamoodi/exercise-random-forests", "kernel_id": "94519293"}, {"ref": "ezzaldeenalhamoodi/exercise-underfitting-and-overfitting", "kernel_id": "94518549"}, {"ref": "priyamsaha17/house-price-prediction-using-ensemble-of-ml-models", "kernel_id": "95679889"}, {"ref": "hamzanaobahar/exercise-pipelines", "kernel_id": "95208589"}, {"ref": "souilemaymen/housing-prices", "kernel_id": "95067578"}, {"ref": "kushagrashrestha/exercise-your-first-machine-learning-model", "kernel_id": "95073764"}, {"ref": "kushagrashrestha/exercise-model-validation", "kernel_id": "95346660"}, {"ref": "kushagrashrestha/exercise-underfitting-and-overfitting", "kernel_id": "95350790"}, {"ref": "kushagrashrestha/exercise-machine-learning-competitions", "kernel_id": "95352973"}, {"ref": "mrwizard786/exercise-machine-learning-competitions", "kernel_id": "95267584"}, {"ref": "faruktekin/house-price-prediction-xgboost-gridsearchcv", "kernel_id": "95968788"}, {"ref": "ocwerfrancis/housing-prices-ml-val-score-0-9141248514998", "kernel_id": "95124049"}, {"ref": "nouhailamouftah/house-pricing-prediction", "kernel_id": "95525330"}, {"ref": "pachava07/house-prices-linear", "kernel_id": "95898278"}, {"ref": "hadyanh/exercise-machine-learning-competitions", "kernel_id": "95887377"}, {"ref": "simarbirsinghsandhu/exercise-machine-learning-competitions", "kernel_id": "95801132"}, {"ref": "akepati/exercise-machine-learning-competitions", "kernel_id": "95428187"}, {"ref": "akepati/house-price-predictor", "kernel_id": "95424942"}, {"ref": "maryams91101/exercise-underfitting-and-overfitting", "kernel_id": "95600780"}, {"ref": "maryams91101/exercise-random-forests", "kernel_id": "95607458"}, {"ref": "asherkamal1/houses-w-xgboost", "kernel_id": "95199529"}, {"ref": "silvinahariati/exercise-your-first-machine-learning-model", "kernel_id": "95099764"}, {"ref": "silvinahariati/exercise-model-validation", "kernel_id": "95101289"}, {"ref": "senaakk/exercise-categorical-variables", "kernel_id": "95262547"}, {"ref": "khawater2003/exercise-random-forests", "kernel_id": "95024695"}, {"ref": "adrienthomas/exercise-introduction", "kernel_id": "95990871"}, {"ref": "adrienthomas/exercise-missing-values", "kernel_id": "95990990"}, {"ref": "adrienthomas/exercise-model-validation", "kernel_id": "95990161"}, {"ref": "adrienthomas/exercise-underfitting-and-overfitting", "kernel_id": "95990498"}, {"ref": "adrienthomas/exercise-random-forests", "kernel_id": "95990607"}, {"ref": "adrienthomas/exercise-machine-learning-competitions", "kernel_id": "95990670"}, {"ref": "adrienthomas/exercise-your-first-machine-learning-model", "kernel_id": "95989833"}, {"ref": "parasjadon05/exercise-your-first-machine-learning-model", "kernel_id": "95332120"}, {"ref": "shauryasingh6837/notebooke8c67711df", "kernel_id": "95120576"}, {"ref": "romelvalos/exercise-machine-learning-competitions", "kernel_id": "95077242"}, {"ref": "viorelsorinilie/classification", "kernel_id": "95481747"}, {"ref": "viorelsorinilie/exercise-classification", "kernel_id": "95482403"}, {"ref": "hasanyusufmuizz/exercise-machine-learning-competitions", "kernel_id": "95921654"}, {"ref": "ameygawade/exercise-xgboost", "kernel_id": "96504140"}, {"ref": "itsyoursumit/exercise-your-first-machine-learning-model", "kernel_id": "96893527"}, {"ref": "samlogullo/machine-learning-notebook-1", "kernel_id": "96009271"}, {"ref": "meteeying/data-leakage-thai-translation", "kernel_id": "96779973"}, {"ref": "aryanagrawal19/linear-regression-test", "kernel_id": "96694009"}, {"ref": "yuriiskandia/exercise-machine-learning-competitions", "kernel_id": "96413555"}, {"ref": "lisahumairoh/exercise-machine-learning-competitions", "kernel_id": "96409703"}, {"ref": "erizogordito/house-my-prediction", "kernel_id": "96124644"}, {"ref": "lamsyah25/exercise-machine-learning-competitions", "kernel_id": "96263019"}, {"ref": "adhimatenri/exercise-machine-learning-competitions", "kernel_id": "96397674"}, {"ref": "fachrireyhan/exercise-machine-learning-competitions", "kernel_id": "96651266"}, {"ref": "harshalmhetar/exercise-machine-learning-competitions", "kernel_id": "96906759"}, {"ref": "mdnaimislam165436/exercise-underfitting-and-overfitting", "kernel_id": "96657127"}, {"ref": "mdnaimislam165436/exercise-model-validation", "kernel_id": "96395812"}, {"ref": "mdnaimislam165436/exercise-your-first-machine-learning-model", "kernel_id": "96289853"}, {"ref": "caesaraurel/exercise-machine-learning-competitions", "kernel_id": "96796249"}, {"ref": "manasipatra/exercise-pipelines", "kernel_id": "96018558"}, {"ref": "zahidhasantonmoy/exercise-model-validation", "kernel_id": "96923369"}, {"ref": "maheenriaz1122/exercise-introduction", "kernel_id": "96190609"}, {"ref": "dhimasekaputra/exercise-underfitting-and-overfitting", "kernel_id": "96463275"}, {"ref": "dhimasekaputra/exercise-your-first-machine-learning-model", "kernel_id": "96456320"}, {"ref": "abrahamadenuga/exercise-missing-values", "kernel_id": "96057110"}, {"ref": "ramzii16/exercise-machine-learning-competitions", "kernel_id": "96697499"}, {"ref": "azizdoayekinci/housing-prices", "kernel_id": "96708722"}, {"ref": "schoolaltaf/exercise-machine-learning-competitions", "kernel_id": "96261495"}, {"ref": "rahulsharma2137/house-price-prediction-model-ml-randomfroest", "kernel_id": "96963402"}, {"ref": "ginaindriani/exercise-machine-learning-competitions", "kernel_id": "96338618"}, {"ref": "airlanggawibowo/exercise-machine-learning-competitions", "kernel_id": "96387309"}, {"ref": "fasyanindyaa/exercise-machine-learning-competitions", "kernel_id": "96273311"}, {"ref": "fasyanindyaa/exercise-machine-learning-competitions-e69efa", "kernel_id": "96487227"}, {"ref": "muahaima/exercise-machine-learning-competitions", "kernel_id": "96601856"}, {"ref": "niaastuti20/exercise-machine-learning-competitions", "kernel_id": "96464894"}, {"ref": "azzindanzulvan/exercise-machine-learning-competitions", "kernel_id": "96962917"}, {"ref": "azzamabdullahumar/exercise-machine-learning-competitions", "kernel_id": "96475778"}, {"ref": "rt4mb0/exercise-machine-learning-competitions", "kernel_id": "96341817"}, {"ref": "alfannurkhasani/exercise-machine-learning-competitions", "kernel_id": "96768936"}, {"ref": "hadisap/exercise-machine-learning-competitions", "kernel_id": "96386088"}, {"ref": "juliaardhana/exercise-machine-learning-competitions", "kernel_id": "96470424"}, {"ref": "putrivennyfebriany/exercise-underfitting-and-overfitting", "kernel_id": "96464548"}, {"ref": "putrivennyfebriany/exercise-machine-learning-competitions", "kernel_id": "96522035"}, {"ref": "navsie/exercise-your-first-machine-learning-model", "kernel_id": "96997444"}, {"ref": "rishabh2007/car-scales-regression-model-eda", "kernel_id": "97769366"}, {"ref": "itsyoursumit/exercise-model-validation", "kernel_id": "97294825"}, {"ref": "itsyoursumit/exercise-underfitting-and-overfitting", "kernel_id": "97558769"}, {"ref": "ruthwanzila/exercise-machine-learning-competitions", "kernel_id": "97376136"}, {"ref": "kashanasdaq/exercise-missing-values", "kernel_id": "97418876"}, {"ref": "kashanasdaq/exercise-categorical-variables", "kernel_id": "97643161"}, {"ref": "kashanasdaq/exercise-pipelines", "kernel_id": "97646443"}, {"ref": "rishabhkannaujiya/housing-prices-competition", "kernel_id": "97096708"}, {"ref": "labibhadi/exercise-machine-learning-competitions", "kernel_id": "97028299"}, {"ref": "jeevanapriyaaitham/exercise-introduction", "kernel_id": "97229504"}, {"ref": "jeevanapriyaaitham/exercise-categorical-variables", "kernel_id": "97238014"}, {"ref": "jeevanapriyaaitham/exercise-pipelines", "kernel_id": "97371719"}, {"ref": "pedramniknam/exercise-missing-values", "kernel_id": "97728439"}, {"ref": "sant0x/exercise-model-validation", "kernel_id": "97723336"}, {"ref": "mrafiif/exercise-machine-learning-competitions", "kernel_id": "97446323"}, {"ref": "mdnaimislam165436/exercise-machine-learning-competitions", "kernel_id": "97097241"}, {"ref": "mdnaimislam165436/exercise-random-forests", "kernel_id": "97031588"}, {"ref": "osmandikmen/exercise-machine-learning-competitions", "kernel_id": "97538546"}, {"ref": "zahidhasantonmoy/exercise-random-forests", "kernel_id": "97969219"}, {"ref": "zahidhasantonmoy/exercise-your-first-machine-learning-model", "kernel_id": "97967385"}, {"ref": "zahidhasantonmoy/exercise-underfitting-and-overfitting", "kernel_id": "97968972"}, {"ref": "zahidhasantonmoy/exercise-machine-learning-competitions", "kernel_id": "97966145"}, {"ref": "jonsed/exercise-machine-learning-competitions", "kernel_id": "97610929"}, {"ref": "dumarchie/categorical-preprocessing", "kernel_id": "97927793"}, {"ref": "aramelheni/house-price-prediction", "kernel_id": "97383744"}, {"ref": "viveknegi17/exercise-your-first-machine-learning-model", "kernel_id": "97714201"}, {"ref": "robasban/pipeline-practice-housing-prices", "kernel_id": "97022541"}, {"ref": "ahmedlaminouamadou/housepricepredicter", "kernel_id": "97307280"}, {"ref": "zikrulnaufalaqil/exercise-machine-learning-competitions", "kernel_id": "97426581"}, {"ref": "purnamasariwulan/exercise-machine-learning-competitions", "kernel_id": "97510093"}, {"ref": "fadzrilfebrizky/exercise-machine-learning-competitions", "kernel_id": "97536152"}, {"ref": "rohman1605/exercise-machine-learning-competitions", "kernel_id": "97087669"}, {"ref": "bonafirmanto/exercise-machine-learning-competitions", "kernel_id": "97427949"}, {"ref": "placidedushimerugaba/exercise-machine-learning-competitions", "kernel_id": "97584582"}, {"ref": "placidedushimerugaba/exercise-random-forests", "kernel_id": "97583649"}, {"ref": "placidedushimerugaba/exercise-underfitting-and-overfitting", "kernel_id": "97582753"}, {"ref": "placidedushimerugaba/exercise-your-first-machine-learning-model", "kernel_id": "97555780"}, {"ref": "placidedushimerugaba/exercise-model-validation", "kernel_id": "97557137"}, {"ref": "navsie/exercise-cross-validation", "kernel_id": "97806295"}, {"ref": "navsie/exercise-categorical-variables", "kernel_id": "97752080"}, {"ref": "milesheslen/exercise-your-first-machine-learning-model", "kernel_id": "97321669"}, {"ref": "indulalviswanathan/melbourne-housing-prediction-interval-c", "kernel_id": "98098540"}, {"ref": "utsusemi82/exercise-your-first-machine-learning-model", "kernel_id": "98291899"}, {"ref": "utsusemi82/exercise-model-validation", "kernel_id": "98873731"}, {"ref": "utsusemi82/exercise-underfitting-and-overfitting", "kernel_id": "98908728"}, {"ref": "hasanjonomonov/exercise-your-first-machine-learning-model", "kernel_id": "98263145"}, {"ref": "muhammedaydin/exercise-model-validation", "kernel_id": "98350627"}, {"ref": "muhammedaydin/exercise-underfitting-and-overfitting", "kernel_id": "98352120"}, {"ref": "yiitcancokun/housing-prices-12k-rmse-1-at-lb-no-cheating", "kernel_id": "98773590"}, {"ref": "nileshpatil91/exercise-categorical-variables", "kernel_id": "98537937"}, {"ref": "nileshpatil91/exercise-introduction", "kernel_id": "98537439"}, {"ref": "piyushmishra76/exercise-missing-values", "kernel_id": "98335116"}, {"ref": "snehakundu05/exercise-your-first-machine-learning-model", "kernel_id": "98880404"}, {"ref": "paijolemu/exercise-data-leakage", "kernel_id": "98278652"}, {"ref": "paijolemu/exercise-xgboost", "kernel_id": "98264363"}, {"ref": "paijolemu/exercise-introduction", "kernel_id": "98239735"}, {"ref": "paijolemu/exercise-missing-values", "kernel_id": "98240072"}, {"ref": "paijolemu/exercise-pipelines", "kernel_id": "98256104"}, {"ref": "paijolemu/exercise-cross-validation", "kernel_id": "98257447"}, {"ref": "paijolemu/exercise-categorical-variables", "kernel_id": "98251158"}, {"ref": "aymanelarhrissi/predicting-house-prices-with-random-forests", "kernel_id": "98625736"}, {"ref": "mehedi71/exercise-machine-learning-competitions", "kernel_id": "98566697"}, {"ref": "zhuhaoyang/exercise-machine-learning-competitions", "kernel_id": "98907767"}, {"ref": "vinamrabajaj24/notebookf4dac0a450", "kernel_id": "98736292"}, {"ref": "rizkynaq/exercise-underfitting-and-overfitting", "kernel_id": "98800683"}, {"ref": "rizkynaq/exercise-machine-learning-competitions", "kernel_id": "98802627"}, {"ref": "rizkynaq/exercise-random-forests", "kernel_id": "98801884"}, {"ref": "bodong408/house-price-v2", "kernel_id": "99458413"}, {"ref": "bodong408/manual", "kernel_id": "99523234"}, {"ref": "utsusemi82/exercise-random-forests", "kernel_id": "99199156"}, {"ref": "snehakundu05/exercise-model-validation", "kernel_id": "99229179"}, {"ref": "avionaramos/exercise-your-first-machine-learning-model", "kernel_id": "99930467"}, {"ref": "avionaramos/exercise-model-validation", "kernel_id": "99933944"}, {"ref": "olajideajigo/alienjoe-ex1-your-first-machine-learning-model", "kernel_id": "99787770"}, {"ref": "olajideajigo/alienjoe-exercise-underfitting-and-overfitting", "kernel_id": "99835681"}, {"ref": "olajideajigo/alienjoe-exercise-random-forests", "kernel_id": "99837102"}, {"ref": "jigneshgore/exercise-machine-learning-competitions", "kernel_id": "99575447"}, {"ref": "alirezanaseri548/exercise-machine-learning-competitions", "kernel_id": "99419651"}, {"ref": "alirezanaseri548/exercise-underfitting-and-overfitting", "kernel_id": "99424148"}, {"ref": "alirezanaseri548/exercise-model-validation", "kernel_id": "99424093"}, {"ref": "alirezanaseri548/exercise-random-forests", "kernel_id": "99434044"}, {"ref": "rahul31093/exercise-model-validation", "kernel_id": "99188774"}, {"ref": "vikasshakya12110/notebook14d9fe2740", "kernel_id": "99991303"}, {"ref": "eliaahadi/elia-1st-competition-housing-prices", "kernel_id": "100717367"}, {"ref": "toivohaapasaari/catboostensemble", "kernel_id": "100264857"}, {"ref": "guilhermewilliam/exercise-machine-learning-competitions", "kernel_id": "100018246"}, {"ref": "vipinchaudhariii/notebook02db31b4bd", "kernel_id": "100141396"}, {"ref": "hitendrakoushik/exercise-data-leakage", "kernel_id": "100103111"}, {"ref": "hithamohana/exercise-missing-values", "kernel_id": "100465343"}, {"ref": "hithamohana/exercise-introduction", "kernel_id": "100456775"}, {"ref": "durgeshsudhirjoshi/exercise-your-first-machine-learning-model", "kernel_id": "100124780"}, {"ref": "siddharadhavelamala/exercise-introduction", "kernel_id": "100059484"}, {"ref": "pritomda/exercise-categorical-variables", "kernel_id": "101886810"}, {"ref": "pritomda/exercise-missing-values", "kernel_id": "101678082"}, {"ref": "miadul/house-prise-predication", "kernel_id": "101797825"}, {"ref": "blackerzdiscord/exercise-pipelines", "kernel_id": "101679663"}, {"ref": "jirapaprae/exercise-your-first-machine-learning-model", "kernel_id": "101445023"}, {"ref": "jirapaprae/exercise-model-validation", "kernel_id": "101453998"}, {"ref": "jirapaprae/exercise-underfitting-and-overfitting", "kernel_id": "101647523"}, {"ref": "jirapaprae/exercise-random-forests", "kernel_id": "101666286"}, {"ref": "jirapaprae/exercise-missing-values", "kernel_id": "101837634"}, {"ref": "ahmedsayed0007/house-prices-prediction", "kernel_id": "101742011"}, {"ref": "adoro42/exercise-machine-learning-competitions", "kernel_id": "101742230"}, {"ref": "abrordodobaev/exercise-machine-learning-competitions", "kernel_id": "101736021"}, {"ref": "snehakundu05/exercise-random-forests", "kernel_id": "101409039"}, {"ref": "snehakundu05/exercise-underfitting-and-overfitting", "kernel_id": "101140013"}, {"ref": "ashenfdo/exercise-introduction", "kernel_id": "101308548"}, {"ref": "rupaksinghrajpoot/1stcompititon", "kernel_id": "101888598"}, {"ref": "xinxinlei/notebook15b21bb4a1", "kernel_id": "101739719"}, {"ref": "strekolovskiyroman/housing-prices-yeah", "kernel_id": "101428983"}, {"ref": "alirezanourizadeh/housing-prices-competition-pipeline-cross-val", "kernel_id": "101327152"}, {"ref": "omi12345/exercise-machine-learning-competitions", "kernel_id": "101786272"}, {"ref": "itsyoursumit/exercise-missing-values", "kernel_id": "102886844"}, {"ref": "itsyoursumit/exercise-random-forests", "kernel_id": "102539543"}, {"ref": "itsyoursumit/exercise-introduction", "kernel_id": "102744252"}, {"ref": "itsyoursumit/exercise-machine-learning-competitions", "kernel_id": "102677753"}, {"ref": "itsyoursumit/exercise-data-leakage", "kernel_id": "102679622"}, {"ref": "bodong408/housing-prices-v32", "kernel_id": "102359485"}, {"ref": "bodong408/housing-prices-v33", "kernel_id": "102359495"}, {"ref": "bodong408/housing-prices-v46", "kernel_id": "102372798"}, {"ref": "bodong408/housing-prices-v36", "kernel_id": "102363643"}, {"ref": "bodong408/housing-prices-v37", "kernel_id": "102363646"}, {"ref": "bodong408/housing-prices-v38", "kernel_id": "102363649"}, {"ref": "bodong408/housing-prices-v39", "kernel_id": "102363656"}, {"ref": "bodong408/housing-prices-v40", "kernel_id": "102363664"}, {"ref": "bodong408/housing-prices-v42", "kernel_id": "102369897"}, {"ref": "bodong408/housing-prices-v43", "kernel_id": "102369906"}, {"ref": "bodong408/housing-prices-v44", "kernel_id": "102369909"}, {"ref": "bodong408/housing-prices-v45", "kernel_id": "102369912"}, {"ref": "ilkerozer/exercise-underfitting-and-overfitting", "kernel_id": "102716892"}, {"ref": "ilkerozer/exercise-model-validation", "kernel_id": "102714686"}, {"ref": "ilkerozer/exercise-your-first-machine-learning-model", "kernel_id": "102709877"}, {"ref": "ilkerozer/exercise-random-forests", "kernel_id": "102858262"}, {"ref": "ilkerozer/exercise-missing-values", "kernel_id": "102994874"}, {"ref": "jirapaprae/exercise-pipelines", "kernel_id": "102426551"}, {"ref": "jirapaprae/exercise-categorical-variables", "kernel_id": "102308204"}, {"ref": "jasonkuo82/exercise-model-validation", "kernel_id": "102894716"}, {"ref": "mariadobrodum/exercise-machine-learning-competitions", "kernel_id": "102897838"}, {"ref": "henriquecoelhovsk/house-prices-competition", "kernel_id": "102612467"}, {"ref": "anushneupane009/exercise-machine-learning-competitions", "kernel_id": "102962745"}, {"ref": "snehakundu05/exercise-machine-learning-competitions", "kernel_id": "102418368"}, {"ref": "huntercase/exercise-model-validation", "kernel_id": "102652723"}, {"ref": "huntercase/exercise-your-first-machine-learning-model", "kernel_id": "102650833"}, {"ref": "ochoalvarezandrs/notebook79fa70d5c4", "kernel_id": "102742302"}, {"ref": "riya111yadav555/exercise-machine-learning-competitions", "kernel_id": "102670586"}, {"ref": "mdhairya/exercise-machine-learning-competitions", "kernel_id": "102222893"}, {"ref": "wenjie1212/final-project", "kernel_id": "102052746"}, {"ref": "assignarc/exercise-machine-learning-competitions", "kernel_id": "102589378"}, {"ref": "atasagunyilmaz/housingpricescompetition", "kernel_id": "102799894"}, {"ref": "itsyoursumit/exercise-categorical-variables", "kernel_id": "103292485"}, {"ref": "itsyoursumit/exercise-pipelines", "kernel_id": "103372078"}, {"ref": "itsyoursumit/exercise-cross-validation", "kernel_id": "103464809"}, {"ref": "itsyoursumit/exercise-xgboost", "kernel_id": "103775325"}, {"ref": "ilkerozer/exercise-cross-validation", "kernel_id": "103588514"}, {"ref": "ilkerozer/exercise-pipelines", "kernel_id": "103401865"}, {"ref": "ilkerozer/exercise-categorical-variables", "kernel_id": "103094176"}, {"ref": "ilkerozer/exercise-xgboost", "kernel_id": "103757857"}, {"ref": "dmitrytsvetov/ensembles-tasks", "kernel_id": "103081196"}, {"ref": "nirumma/houseprice51225", "kernel_id": "103541449"}, {"ref": "likithagedipudi/house-price-prediction", "kernel_id": "103027376"}, {"ref": "aatifsayyad/house-prices-prediction", "kernel_id": "103197959"}, {"ref": "hibatabdulroof/house-prices", "kernel_id": "103317106"}, {"ref": "nabil9/melbourne-model-score-13865-27205", "kernel_id": "103405172"}, {"ref": "rasulbekqadamboyev/simple-code-catboostregressor", "kernel_id": "103842560"}, {"ref": "ncsreza/notebook478acac0a5", "kernel_id": "103807172"}, {"ref": "mariadobrodum/exercise-introduction", "kernel_id": "103002701"}, {"ref": "xcipherx/exercise-machine-learning-competitions", "kernel_id": "103635299"}, {"ref": "aratiyadav100/exercise-model-validation", "kernel_id": "103546492"}, {"ref": "aratiyadav100/exercise-your-first-machine-learning-model", "kernel_id": "103461593"}, {"ref": "ryanpeoples/housing-prices-score-14495", "kernel_id": "103835243"}, {"ref": "duanguyenvan/dadv-code", "kernel_id": "103334722"}, {"ref": "yuvanshudadhich/exercise-introduction", "kernel_id": "103281439"}, {"ref": "yuvanshudadhich/exercise-missing-values", "kernel_id": "103832235"}, {"ref": "hussendayem/predicting-house-prices-using-random-forest", "kernel_id": "103226182"}, {"ref": "persky08/exercise-machine-learning-competitions", "kernel_id": "103197277"}, {"ref": "engawaiskhalid/house-price-prediction-notebook", "kernel_id": "103036061"}, {"ref": "romankopeychik/notebook4b70d1a323", "kernel_id": "103361945"}, {"ref": "gigatt/exercise-machine-learning-competitions", "kernel_id": "103712340"}, {"ref": "stardewcvalley/ridge-eng-feat", "kernel_id": "104696156"}, {"ref": "stardewcvalley/ensemble-regression", "kernel_id": "104719858"}, {"ref": "betagammashtrit/simple-linreg", "kernel_id": "104199094"}, {"ref": "betagammashtrit/improved-ensemble-and-features", "kernel_id": "104405477"}, {"ref": "betagammashtrit/optuna-on-3-model-stack", "kernel_id": "104402203"}, {"ref": "pedramniknam/exercise-machine-learning-competitions", "kernel_id": "104571095"}, {"ref": "waynechiu935/exercise-machine-learning-competitions", "kernel_id": "104537684"}, {"ref": "waynechiu935/exercise-underfitting-and-overfitting", "kernel_id": "104534010"}, {"ref": "waynechiu935/exercise-model-validation", "kernel_id": "104532012"}, {"ref": "ankitkumar8252/exercise-machine-learning-competitions", "kernel_id": "104339799"}, {"ref": "ankitkumar8252/exercise-random-forests", "kernel_id": "104339260"}, {"ref": "ankitkumar8252/exercise-your-first-machine-learning-model", "kernel_id": "104337504"}, {"ref": "puritymacharia/exercise-machine-learning-competitions", "kernel_id": "104791945"}, {"ref": "madebyjeremlee/exercise-random-forests", "kernel_id": "104785160"}, {"ref": "madebyjeremlee/exercise-machine-learning-competitions", "kernel_id": "104785423"}, {"ref": "dnyaneshwaryedke/exercise-machine-learning-competitions", "kernel_id": "104306708"}, {"ref": "dnyaneshwaryedke/exercise-underfitting-and-overfitting", "kernel_id": "104307257"}, {"ref": "dnyaneshwaryedke/exercise-introduction", "kernel_id": "104401432"}, {"ref": "dnyaneshwaryedke/exercise-model-validation", "kernel_id": "104068108"}, {"ref": "dnyaneshwaryedke/exercise-random-forests", "kernel_id": "104107960"}, {"ref": "dnyaneshwaryedke/exercise-categorical-variables", "kernel_id": "104777506"}, {"ref": "dnyaneshwaryedke/exercise-xgboost", "kernel_id": "104867437"}, {"ref": "dnyaneshwaryedke/exercise-pipelines", "kernel_id": "104830250"}, {"ref": "dnyaneshwaryedke/exercise-cross-validation", "kernel_id": "104849377"}, {"ref": "dnyaneshwaryedke/exercise-data-leakage", "kernel_id": "104897786"}, {"ref": "dnyaneshwaryedke/exercise-missing-values", "kernel_id": "104533474"}, {"ref": "williamin/exercise-missing-values", "kernel_id": "104917220"}, {"ref": "yuvanshudadhich/exercise-pipelines", "kernel_id": "104607381"}, {"ref": "yuvanshudadhich/exercise-xgboost", "kernel_id": "104864947"}, {"ref": "yuvanshudadhich/exercise-cross-validation", "kernel_id": "104770999"}, {"ref": "yuvanshudadhich/exercise-categorical-variables", "kernel_id": "104343037"}, {"ref": "dhruvjaiswal04/exercise-introduction", "kernel_id": "104587211"}, {"ref": "dhruvjaiswal04/exercise-categorical-variables", "kernel_id": "104826600"}, {"ref": "timotheusbal/exercise-your-first-machine-learning-model", "kernel_id": "104790012"}, {"ref": "pallavihamand/exercise-underfitting-and-overfitting", "kernel_id": "104976212"}, {"ref": "pallavihamand/exercise-your-first-machine-learning-model", "kernel_id": "104973847"}, {"ref": "pallavihamand/exercise-model-validation", "kernel_id": "104974867"}, {"ref": "pallavihamand/exercise-machine-learning-competitions", "kernel_id": "104981334"}, {"ref": "pallavihamand/exercise-random-forests", "kernel_id": "104977752"}, {"ref": "mariagmezfuentes/exercise-machine-learning-competitions", "kernel_id": "104797644"}, {"ref": "jayjoshi37/exercise-model-validation", "kernel_id": "104430906"}, {"ref": "jayjoshi37/exercise-your-first-machine-learning-model", "kernel_id": "104072636"}, {"ref": "vedikapoddar17/exercise-machine-learning-competitions", "kernel_id": "104805330"}, {"ref": "sricharan8904/exercise-machine-learning-competitions", "kernel_id": "104883522"}, {"ref": "gopalzxc/exercise-model-validation", "kernel_id": "104979080"}, {"ref": "jarmx7/housing-prices-live-coding", "kernel_id": "105026700"}, {"ref": "rachaelmichael/housing-prices-competition", "kernel_id": "105196455"}, {"ref": "rachaelmichael/dealing-with-missing-values-in-the-model", "kernel_id": "105289143"}, {"ref": "suyogbakliwal/case-study-housing-price-projects-sb-kgl", "kernel_id": "105456634"}, {"ref": "muhammadadeelkaggle/exercise-random-forests", "kernel_id": "105590148"}, {"ref": "muhammadadeelkaggle/exercise-machine-learning-competitions", "kernel_id": "105590221"}, {"ref": "muhammadadeelkaggle/exercise-underfitting-and-overfitting", "kernel_id": "105227115"}, {"ref": "muhammadadeelkaggle/exercise-your-first-machine-learning-model", "kernel_id": "105226294"}, {"ref": "muhammadadeelkaggle/exercise-model-validation", "kernel_id": "105226648"}, {"ref": "beta3logic/funcionamiento-de-los-modelos-m01-c03", "kernel_id": "105230053"}, {"ref": "beta3logic/exploraci-n-b-sica-de-datos-m02-co3", "kernel_id": "105315925"}, {"ref": "beta3logic/ejercicios-arboles-aleatorios-me06-c03", "kernel_id": "105716942"}, {"ref": "beta3logic/arboles-aleatorios-m06-c03", "kernel_id": "105716327"}, {"ref": "beta3logic/sobreajuste-y-subajuste-m05-c03", "kernel_id": "105627483"}, {"ref": "beta3logic/ejercicios-sobreajuste-y-subajuste-me05-c03", "kernel_id": "105628415"}, {"ref": "beta3logic/ejercicio-competencias-machine-learning-me07-c03", "kernel_id": "105788647"}, {"ref": "beta3logic/competencias-machine-learning-m07-c03", "kernel_id": "105788315"}, {"ref": "beta3logic/ejercicios-modelo-de-machine-learning-me03-co3", "kernel_id": "105412248"}, {"ref": "beta3logic/tu-primer-modelo-de-machine-learning-m03-co3", "kernel_id": "105410822"}, {"ref": "beta3logic/ejercicios-validaci-n-del-modelo-me04-c03", "kernel_id": "105550733"}, {"ref": "beta3logic/validaci-n-del-modelo-m04-c03", "kernel_id": "105549590"}, {"ref": "saharnazyaghoobpoor/exercise-cross-validation", "kernel_id": "105046109"}, {"ref": "gunapativaishnavi/housing-price-eda-random", "kernel_id": "105840585"}, {"ref": "grishmitaagrawal/notebook07c67eb0ff", "kernel_id": "105386870"}, {"ref": "grishmitaagrawal/exercise-data-leakage", "kernel_id": "105384964"}, {"ref": "gauravkumar2525/exercise-data-leakage", "kernel_id": "105931051"}, {"ref": "gauravkumar2525/exercise-xgboost", "kernel_id": "105930844"}, {"ref": "gauravkumar2525/exercise-cross-validation", "kernel_id": "105930441"}, {"ref": "gauravkumar2525/exercise-missing-values", "kernel_id": "105927201"}, {"ref": "gauravkumar2525/exercise-categorical-variables", "kernel_id": "105928807"}, {"ref": "gauravkumar2525/exercise-pipelines", "kernel_id": "105929745"}, {"ref": "gauravkumar2525/exercise-introduction", "kernel_id": "105926744"}, {"ref": "arunbaigra/exercise-machine-learning-competitions", "kernel_id": "105468178"}, {"ref": "deepmalyakoley/exercise-pipelines", "kernel_id": "105951196"}, {"ref": "deepmalyakoley/exercise-machine-learning-competitions", "kernel_id": "105895775"}, {"ref": "deepmalyakoley/exercise-introduction", "kernel_id": "105902110"}, {"ref": "nina2025/housing-prices-competition-h-blend", "kernel_id": "105240022"}, {"ref": "ridoybaidya/exercise-machine-learning-competitions", "kernel_id": "105742967"}, {"ref": "jeanjfernandes/house-prices-advanced-regression-easy-tutorial", "kernel_id": "105783777"}, {"ref": "rahulkumar160602/exercise-machine-learning-competitions", "kernel_id": "105788857"}, {"ref": "qasimalriyami/exercise-introduction", "kernel_id": "105682496"}, {"ref": "timotheusbal/exercise-underfitting-and-overfitting", "kernel_id": "105213765"}, {"ref": "timotheusbal/exercise-model-validation", "kernel_id": "105211629"}, {"ref": "olegend/xgb-boost", "kernel_id": "105465736"}, {"ref": "alirezanaseri548/exercise-introduction", "kernel_id": "105081161"}, {"ref": "jayjoshi37/exercise-underfitting-and-overfitting", "kernel_id": "105370329"}, {"ref": "jayjoshi37/exercise-random-forests", "kernel_id": "105851260"}, {"ref": "amoghlalwani/exercise-missing-values", "kernel_id": "105472121"}, {"ref": "amoghlalwani/exercise-categorical-variables", "kernel_id": "105778379"}, {"ref": "burntsocks/exercise-missing-values", "kernel_id": "106601646"}, {"ref": "hiteshkadam/exercise-your-first-machine-learning-model", "kernel_id": "106761046"}, {"ref": "doukouss/exercise-machine-learning-competitions", "kernel_id": "106714427"}, {"ref": "mximoferrariostry/house-prices-first-regression-project", "kernel_id": "106797786"}, {"ref": "sreya20/exercise-model-validation", "kernel_id": "106102402"}, {"ref": "sreya20/exercise-your-first-machine-learning-model", "kernel_id": "106040881"}, {"ref": "betagammashtrit/fork-of-simple-linreg-d6953a", "kernel_id": "106907315"}, {"ref": "betagammashtrit/repeat-1200-seconds-gluon-t4-x2", "kernel_id": "106847251"}, {"ref": "betagammashtrit/vanila-quad", "kernel_id": "106847775"}, {"ref": "betagammashtrit/autofgluon-winning-features", "kernel_id": "106841507"}, {"ref": "betagammashtrit/uv-autogluon", "kernel_id": "106840591"}, {"ref": "arnavde/housepricing1", "kernel_id": "106644490"}, {"ref": "vishwabarade/house-price-prediction-catboost-rsme-17221", "kernel_id": "106903510"}, {"ref": "ayadii/exercise-pipelines", "kernel_id": "106163236"}, {"ref": "muchzannurnadhif/exercise-random-forests", "kernel_id": "106204989"}, {"ref": "muchzannurnadhif/exercise-underfitting-and-overfitting", "kernel_id": "106152043"}, {"ref": "spearoad/exercise-machine-learning-competitions", "kernel_id": "106396616"}, {"ref": "harshitagarwal11345/exercise-introduction", "kernel_id": "106202171"}, {"ref": "saamhm/end-to-end-code-xgbregressor", "kernel_id": "106029814"}, {"ref": "xcrept/exercise-your-first-machine-learning-model", "kernel_id": "106301805"}, {"ref": "nitinraghuvanshi19/exercise-machine-learning-competitions", "kernel_id": "106026357"}, {"ref": "nitinraghuvanshi19/exercise-underfitting-and-overfitting", "kernel_id": "106026142"}, {"ref": "nitinraghuvanshi19/exercise-random-forests", "kernel_id": "106026266"}, {"ref": "nitinraghuvanshi19/exercise-your-first-machine-learning-model", "kernel_id": "106025901"}, {"ref": "dumarchie/adversarial-validation", "kernel_id": "106456683"}, {"ref": "dumarchie/ames-housing-utils", "kernel_id": "106947130"}, {"ref": "man2411/exercise-missing-values", "kernel_id": "106628569"}, {"ref": "mowork888/exercise-xgboost", "kernel_id": "106493319"}, {"ref": "mowork888/exercise-pipelines", "kernel_id": "106476043"}, {"ref": "mowork888/exercise-missing-values", "kernel_id": "106327379"}, {"ref": "upendragangu/exercise-your-first-machine-learning-model", "kernel_id": "106313414"}, {"ref": "upendragangu/exercise-model-validation", "kernel_id": "106314667"}, {"ref": "vineetakande/exercise-machine-learning-competitions", "kernel_id": "106471176"}, {"ref": "jayjoshi37/exercise-machine-learning-competitions", "kernel_id": "106355447"}, {"ref": "maysyesa/exercise-machine-learning-competitions", "kernel_id": "106836008"}, {"ref": "gopalzxc/exercise-introduction", "kernel_id": "106556212"}, {"ref": "umarnabibhat/learning-first-model-in-kaggle-ml-course", "kernel_id": "106072635"}, {"ref": "singhaniyasarthak/exercise-pipelines", "kernel_id": "106723362"}, {"ref": "singhaniyasarthak/exercise-cross-validation", "kernel_id": "106761199"}, {"ref": "singhaniyasarthak/exercise-categorical-variables", "kernel_id": "106627153"}, {"ref": "singhaniyasarthak/exercise-missing-values", "kernel_id": "106545417"}, {"ref": "singhaniyasarthak/exercise-introduction", "kernel_id": "106464115"}, {"ref": "singhaniyasarthak/exercise-machine-learning-competitions", "kernel_id": "106274227"}, {"ref": "singhaniyasarthak/exercise-random-forests", "kernel_id": "106274003"}, {"ref": "singhaniyasarthak/exercise-underfitting-and-overfitting", "kernel_id": "106196314"}, {"ref": "singhaniyasarthak/exercise-model-validation", "kernel_id": "106068287"}, {"ref": "singhaniyasarthak/exercise-your-first-machine-learning-model", "kernel_id": "106004351"}, {"ref": "singhaniyasarthak/exercise-data-leakage", "kernel_id": "106943165"}, {"ref": "singhaniyasarthak/exercise-xgboost", "kernel_id": "106862118"}, {"ref": "ameerrknassrah/housing-prices-mlearning-competitions", "kernel_id": "106028714"}, {"ref": "alokeveermondal/catboost-regressor-mae-13776-using-pipelines", "kernel_id": "107295003"}, {"ref": "hiteshkadam/exercise-underfitting-and-overfitting", "kernel_id": "107099776"}, {"ref": "hiteshkadam/exercise-random-forests", "kernel_id": "107101080"}, {"ref": "hiteshkadam/exercise-machine-learning-competitions", "kernel_id": "107101370"}, {"ref": "hiteshkadam/exercise-model-validation", "kernel_id": "107096333"}, {"ref": "aryankhose/learning-uploading-exercise-solution", "kernel_id": "107172322"}, {"ref": "skanderadamafi/housing-prices-competition", "kernel_id": "107626178"}, {"ref": "ebilomaisrael/exercise-categorical-variables", "kernel_id": "107122032"}, {"ref": "aliemresisman/exercise-machine-learning-competitions", "kernel_id": "107722712"}, {"ref": "ramaalhomsi/exercise-machine-learning-competitions", "kernel_id": "107384450"}, {"ref": "avijitgiri/exercise-your-first-machine-learning-model", "kernel_id": "107112671"}, {"ref": "cedricksangwa/exercise-machine-learning-competitions", "kernel_id": "107451431"}, {"ref": "mlinhbng/exercise-introduction", "kernel_id": "107853952"}, {"ref": "jawadsohaildar/exercise-machine-learning-competitions", "kernel_id": "107445492"}, {"ref": "avinashsingh004/exercise-machine-learning-competitions", "kernel_id": "107292756"}, {"ref": "avinashsingh004/exercise-random-forests", "kernel_id": "107217139"}, {"ref": "puritymacharia/exercise-categorical-variables", "kernel_id": "107665986"}, {"ref": "payaldhokane/housing-prices", "kernel_id": "107290203"}, {"ref": "payaldhokane/housing-prices-competition-lightgbm", "kernel_id": "107294770"}, {"ref": "payaldhokane/housing-prices-prediction", "kernel_id": "107293879"}, {"ref": "payaldhokane/housing-prices-prediction-competition", "kernel_id": "107354387"}, {"ref": "payaldhokane/housing-prices-comp-prediction", "kernel_id": "107355599"}, {"ref": "tanaygadre/exercise-machine-learning-competitions", "kernel_id": "107630307"}, {"ref": "zhukov236/housing-sales-analysis-model-competition", "kernel_id": "107806320"}, {"ref": "ccbhcc/v3-gbdt-lgb", "kernel_id": "107916906"}, {"ref": "dumarchie/permutation-importance", "kernel_id": "107256099"}, {"ref": "dumarchie/xgboost-hpo-with-optuna", "kernel_id": "107113011"}, {"ref": "palpriyanshu/housing-prices", "kernel_id": "107688115"}, {"ref": "samikgupta253/exercise-random-forests", "kernel_id": "107912317"}, {"ref": "jatinkarma/ameshousingprediction", "kernel_id": "107555928"}, {"ref": "thanojsaikrishnav/exercise-machine-learning-competitions", "kernel_id": "107670573"}, {"ref": "thanojsaikrishnav/exercise-introduction", "kernel_id": "107916574"}, {"ref": "fathimamehanaz/exercise-model-validation", "kernel_id": "107068680"}, {"ref": "lukeunfair/exercise-model-validation", "kernel_id": "107430404"}, {"ref": "phoebesophy/exercise-machine-learning-competitions", "kernel_id": "107527148"}, {"ref": "neudheh/exercise-machine-learning-competitions", "kernel_id": "107432492"}, {"ref": "neudheh/exercise-model-validation", "kernel_id": "107429210"}, {"ref": "neudheh/exercise-underfitting-and-overfitting", "kernel_id": "107431387"}, {"ref": "neudheh/exercise-random-forests", "kernel_id": "107432204"}, {"ref": "neudheh/exercise-your-first-machine-learning-model", "kernel_id": "107361426"}, {"ref": "neudheh/exercise-data-leakage", "kernel_id": "107946405"}, {"ref": "neudheh/exercise-xgboost", "kernel_id": "107945368"}, {"ref": "neudheh/exercise-pipelines", "kernel_id": "107937223"}, {"ref": "neudheh/exercise-cross-validation", "kernel_id": "107938546"}, {"ref": "neudheh/exercise-missing-values", "kernel_id": "107885547"}, {"ref": "neudheh/exercise-introduction", "kernel_id": "107885070"}, {"ref": "neudheh/exercise-categorical-variables", "kernel_id": "107887020"}, {"ref": "xinbiao/how-models-work", "kernel_id": "107340073"}, {"ref": "melihemin/housingpricescompetition-lightgbm", "kernel_id": "108274499"}, {"ref": "safar1/top-submission", "kernel_id": "108599734"}, {"ref": "prthmptl/housing-prices-random-forest-solution", "kernel_id": "108453996"}, {"ref": "kentbaluyot/predictinghousingprices-feature-model-comparison", "kernel_id": "108963739"}, {"ref": "carp0308/house-prices-advanced-feature-engineering", "kernel_id": "108055793"}, {"ref": "rajcjain/housing-price-prediction-with-random-forest", "kernel_id": "108088556"}, {"ref": "yarama/exercise-introduction", "kernel_id": "108545988"}, {"ref": "wardaguesmi/exercise-random-forests", "kernel_id": "108721625"}, {"ref": "mlinhbng/exercise-categorical-variables", "kernel_id": "108128107"}, {"ref": "mlinhbng/exercise-pipelines", "kernel_id": "108128143"}, {"ref": "mlinhbng/exercise-missing-values", "kernel_id": "108128068"}, {"ref": "mlinhbng/exercise-cross-validation", "kernel_id": "108128182"}, {"ref": "mlinhbng/exercise-xgboost", "kernel_id": "108128220"}, {"ref": "mlinhbng/exercise-data-leakage", "kernel_id": "108128273"}, {"ref": "abdulhayyassir/ames-housing-price-prediction-full-pipeline", "kernel_id": "108968677"}, {"ref": "faizyusuf/exercise-machine-learning-competitions", "kernel_id": "108093108"}, {"ref": "ibteshumkhaled/exercise-missing-values", "kernel_id": "108536418"}, {"ref": "ibteshumkhaled/exercise-introduction", "kernel_id": "108535829"}, {"ref": "dumarchie/ames-housing-sale-features", "kernel_id": "108674832"}, {"ref": "lasitheshan/exercise-introduction", "kernel_id": "108379168"}, {"ref": "anastasiachepurina/exercise-model-validation", "kernel_id": "108180011"}, {"ref": "jatinkarma/exercise-machine-learning-competitions", "kernel_id": "108682100"}, {"ref": "uzmaaasiya/exercise-machine-learning-competitions", "kernel_id": "108409076"}, {"ref": "sagarlangotiya/exercise-machine-learning-competitions", "kernel_id": "108235876"}, {"ref": "upendragangu/exercise-machine-learning-competitions", "kernel_id": "108067140"}, {"ref": "upendragangu/exercise-underfitting-and-overfitting", "kernel_id": "108065318"}, {"ref": "upendragangu/exercise-random-forests", "kernel_id": "108066035"}, {"ref": "adwaittagalpallewar/housing-prices-competition-deep-learning-approach", "kernel_id": "108597548"}, {"ref": "mohameddrioua/exercise-missing-values", "kernel_id": "108482040"}, {"ref": "piyushsurana01/exercise-machine-learning-competitions", "kernel_id": "108712587"}, {"ref": "marcusewang/multiple-model-testing-housing-prices", "kernel_id": "109215110"}, {"ref": "prakharshukla889/exercise-machine-learning-competitions", "kernel_id": "109764364"}, {"ref": "chirayu816/exercise-machine-learning-competitions", "kernel_id": "109710258"}, {"ref": "roy210005/exercise-introduction", "kernel_id": "109722558"}, {"ref": "roy210005/exercise-missing-values", "kernel_id": "109722708"}, {"ref": "roy210005/exercise-cross-validation", "kernel_id": "109723388"}, {"ref": "roy210005/exercise-categorical-variables", "kernel_id": "109722983"}, {"ref": "roy210005/exercise-pipelines", "kernel_id": "109723221"}, {"ref": "roy210005/exercise-xgboost", "kernel_id": "109723761"}, {"ref": "roy210005/exercise-data-leakage", "kernel_id": "109959023"}, {"ref": "jmtan0/tree-based-models-stacking-methods", "kernel_id": "109241573"}, {"ref": "nishu65/house-price-lasso", "kernel_id": "109309196"}, {"ref": "nishu65/house-price-pca", "kernel_id": "109308310"}, {"ref": "nishu65/house-price1", "kernel_id": "109307839"}, {"ref": "namnguynnnn/random-forests", "kernel_id": "109790979"}, {"ref": "namnguynnnn/underfitting-and-overfitting", "kernel_id": "109790385"}, {"ref": "namnguynnnn/model-validation", "kernel_id": "109789034"}, {"ref": "namnguynnnn/machine-learning-model", "kernel_id": "109787923"}, {"ref": "neelkirpalani/neel-housing-prices-competition", "kernel_id": "109215158"}, {"ref": "josephmahercsi/20260218-work-flow-example", "kernel_id": "109721745"}, {"ref": "crustycrumbs/exercise-machine-learning-competitions", "kernel_id": "109217371"}, {"ref": "maazali04/house-prediction", "kernel_id": "109376412"}, {"ref": "xiruilin/notebookb2619a60d6", "kernel_id": "109383108"}, {"ref": "alyhegazy0/housing-1", "kernel_id": "109251900"}, {"ref": "fairlanderflick/exercise-machine-learning-competitions", "kernel_id": "109540103"}, {"ref": "cassandratsoy/housing-price-with-basic-neural-network", "kernel_id": "110928083"}, {"ref": "alexisrousseaux1997/exercise-pipelines", "kernel_id": "110729399"}, {"ref": "alexisrousseaux1997/exercise-missing-values", "kernel_id": "110637336"}, {"ref": "youssefmohhaj89/housing-prices-competition", "kernel_id": "110207614"}, {"ref": "seemskaggle/house-price-prediction", "kernel_id": "110096862"}, {"ref": "ryanbhang129/exercise-introduction", "kernel_id": "110040179"}, {"ref": "debanganghosh/house-prices-92-score-adv-feature-engg-xgboost", "kernel_id": "110911228"}, {"ref": "maryamskaik/exercise-machine-learning-competitions", "kernel_id": "110836044"}, {"ref": "maryamskaik/exercise-model-validation", "kernel_id": "110651474"}, {"ref": "maryamskaik/exercise-underfitting-and-overfitting", "kernel_id": "110731018"}, {"ref": "maryamskaik/exercise-random-forests", "kernel_id": "110776001"}, {"ref": "benedictusryugunawan/top-18-tabpfn-for-housing-price", "kernel_id": "110936631"}, {"ref": "adarsh79744/exercise-introduction", "kernel_id": "110831313"}, {"ref": "namnguynnnn/machine-learning-competitions", "kernel_id": "110327329"}, {"ref": "komalkathwade/exercise-machine-learning-competitions", "kernel_id": "110640094"}, {"ref": "komalkathwade/exercise-introduction", "kernel_id": "110773698"}, {"ref": "komalkathwade/exercise-missing-values", "kernel_id": "110935623"}, {"ref": "komalkathwade/exercise-your-first-machine-learning-model", "kernel_id": "110143647"}, {"ref": "komalkathwade/exercise-random-forests", "kernel_id": "110448196"}, {"ref": "komalkathwade/exercise-underfitting-and-overfitting", "kernel_id": "110313691"}, {"ref": "komalkathwade/exercise-model-validation", "kernel_id": "110240388"}, {"ref": "dumarchie/ames-housing-age", "kernel_id": "110152393"}, {"ref": "hasibur12/housing-prices-competition", "kernel_id": "110314937"}, {"ref": "shaikhhafizyahya/exercise-your-first-machine-learning-model", "kernel_id": "110803126"}, {"ref": "shaikhhafizyahya/exercise-model-validation", "kernel_id": "110804979"}, {"ref": "shaikhhafizyahya/exercise-underfitting-and-overfitting", "kernel_id": "110956986"}, {"ref": "shaikhhafizyahya/exercise-random-forests", "kernel_id": "110957356"}, {"ref": "rossneyman/20260218-work-flow-example", "kernel_id": "110334519"}, {"ref": "josephmahercsi/20260225", "kernel_id": "110544565"}, {"ref": "josephmahercsi/20260223", "kernel_id": "110276144"}, {"ref": "dipteshkarle/exercise-xgboost", "kernel_id": "110260109"}, {"ref": "tehreemamjad381/exercise-your-first-machine-learning-model", "kernel_id": "110199881"}, {"ref": "tehreemamjad381/exercise-model-validation", "kernel_id": "110200403"}, {"ref": "tehreemamjad381/exercise-underfitting-and-overfitting", "kernel_id": "110226183"}, {"ref": "tehreemamjad381/exercise-random-forests", "kernel_id": "110228027"}, {"ref": "tehreemamjad381/exercise-machine-learning-competitions", "kernel_id": "110228201"}, {"ref": "tehreemamjad381/exercise-missing-values", "kernel_id": "110910584"}, {"ref": "tehreemamjad381/exercise-pipelines", "kernel_id": "110911276"}, {"ref": "tehreemamjad381/exercise-categorical-variables", "kernel_id": "110910980"}, {"ref": "tehreemamjad381/notebooked1a815c24", "kernel_id": "110903673"}, {"ref": "tehreemamjad381/exercise-cross-validation", "kernel_id": "110912839"}, {"ref": "tehreemamjad381/exercise-data-leakage", "kernel_id": "110914208"}, {"ref": "tehreemamjad381/exercise-xgboost", "kernel_id": "110913969"}, {"ref": "raikashifali/exercise-introduction", "kernel_id": "110969237"}, {"ref": "raikashifali/exercise-categorical-variables", "kernel_id": "110969782"}, {"ref": "raikashifali/exercise-missing-values", "kernel_id": "110969702"}, {"ref": "raikashifali/exercise-xgboost", "kernel_id": "110970732"}, {"ref": "raikashifali/exercise-data-leakage", "kernel_id": "110971008"}, {"ref": "raikashifali/exercise-pipelines", "kernel_id": "110970143"}, {"ref": "raikashifali/exercise-cross-validation", "kernel_id": "110970563"}, {"ref": "raikashifali/exercise-random-forests", "kernel_id": "110161800"}, {"ref": "raikashifali/exercise-machine-learning-competitions", "kernel_id": "110208412"}, {"ref": "raikashifali/exercise-underfitting-and-overfitting", "kernel_id": "110207932"}, {"ref": "raikashifali/exercise-model-validation", "kernel_id": "110207812"}, {"ref": "raikashifali/exercise-your-first-machine-learning-model", "kernel_id": "110184095"}, {"ref": "hafiztalhasattar/exercise-data-leakage", "kernel_id": "110966044"}, {"ref": "hafiztalhasattar/exercise-xgboost", "kernel_id": "110917269"}, {"ref": "hafizshahidrahimshah/exercise-missing-values", "kernel_id": "110959423"}, {"ref": "clarehedemark/exercise-machine-learning-competitions", "kernel_id": "110271709"}, {"ref": "omkarpshetty7760/exercise-machine-learning-competitions", "kernel_id": "110238765"}, {"ref": "rohanoruganti007/exercise-model-validation", "kernel_id": "110868585"}, {"ref": "rohanoruganti007/exercise-your-first-machine-learning-model", "kernel_id": "110868218"}, {"ref": "justinwang3799/ee11402-01", "kernel_id": "111386328"}, {"ref": "tiamariegordon/notebook738a19997d", "kernel_id": "111680622"}, {"ref": "abdi04/exercise-random-forests", "kernel_id": "111684924"}, {"ref": "alexruban/exercise-random-forests", "kernel_id": "111902008"}, {"ref": "alstondsouza11/exercise-random-forests", "kernel_id": "111471194"}, {"ref": "aneelaneal/exercise-introduction", "kernel_id": "111890334"}, {"ref": "qopcii/exercise-random-forests", "kernel_id": "111278669"}, {"ref": "safar1/lb-100-guaranteed-top", "kernel_id": "111421820"}, {"ref": "safar1/top-submissio-n", "kernel_id": "111420543"}, {"ref": "safar1/lb-100-top", "kernel_id": "111419409"}, {"ref": "joycemukolwe/exercise-your-first-machine-learning-model", "kernel_id": "111495447"}, {"ref": "mlarsen123180/exercise-random-forests", "kernel_id": "111622504"}, {"ref": "fonderslate/exercise-categorical-variables", "kernel_id": "111475334"}, {"ref": "hongzhong123/notebook77e2fc3f40", "kernel_id": "111029382"}, {"ref": "sevdaakari/exercise-machine-learning-competitions", "kernel_id": "111048634"}, {"ref": "grayasha/exercise-random-forests", "kernel_id": "111902301"}, {"ref": "debanganghosh/exercise-machine-learning-competitions", "kernel_id": "111176681"}, {"ref": "rebeccariffle/exercise-random-forests", "kernel_id": "111197019"}, {"ref": "baonguyenqwerty/housing", "kernel_id": "111230512"}, {"ref": "kimberlymageary/notebook0e66d4ea5a", "kernel_id": "111683285"}, {"ref": "aseermuntaqueemarko/housing-price-prediction", "kernel_id": "111550128"}, {"ref": "gabriel17d/housingprices-xgboost-15521-54821-score", "kernel_id": "111887931"}, {"ref": "namnguynnnn/missing-values", "kernel_id": "111397738"}, {"ref": "namnguynnnn/introduction", "kernel_id": "111397558"}, {"ref": "namnguynnnn/data-leakage", "kernel_id": "111866928"}, {"ref": "namnguynnnn/xgboost", "kernel_id": "111866399"}, {"ref": "namnguynnnn/pipelines", "kernel_id": "111865320"}, {"ref": "namnguynnnn/cross-validation", "kernel_id": "111865687"}, {"ref": "grantcaile/exercise-machine-learning-competitions", "kernel_id": "111608463"}, {"ref": "mo7amedelhafian/machine-learning-competitions", "kernel_id": "111480879"}, {"ref": "sharafathahammed/exercise-machine-learning-competitions", "kernel_id": "111316023"}, {"ref": "joyeeta24/exercise-machine-learning-competitions", "kernel_id": "111299302"}, {"ref": "soniyapal2345453465/house-pricing", "kernel_id": "111831004"}, {"ref": "ryansutthoffpea/exercise-machine-learning-competitions", "kernel_id": "111338180"}, {"ref": "mysticy1/exercise-model-validation", "kernel_id": "111343609"}, {"ref": "mysticy1/jaisanth-your-first-machine-learning-model", "kernel_id": "111343904"}, {"ref": "worldofchantal/house-prices-practice-code", "kernel_id": "111675892"}, {"ref": "nagifukahori/housing-price-predictions", "kernel_id": "111767369"}, {"ref": "chaitanyajamble/exercise-your-first-machine-learning-model", "kernel_id": "111223210"}, {"ref": "chaitanyajamble/exercise-model-validation", "kernel_id": "111231929"}, {"ref": "chaitanyajamble/exercise-underfitting-and-overfitting", "kernel_id": "111235258"}, {"ref": "chaitanyajamble/exercise-random-forests", "kernel_id": "111237251"}, {"ref": "chaitanyajamble/exercise-machine-learning-competitions", "kernel_id": "111237745"}, {"ref": "chaitanyajamble/exercise-cross-validation", "kernel_id": "111318389"}, {"ref": "chaitanyajamble/exercise-xgboost", "kernel_id": "111322240"}, {"ref": "chaitanyajamble/exercise-data-leakage", "kernel_id": "111327015"}, {"ref": "chaitanyajamble/exercise-missing-values", "kernel_id": "111303032"}, {"ref": "chaitanyajamble/exercise-introduction", "kernel_id": "111299557"}, {"ref": "chaitanyajamble/exercise-pipelines", "kernel_id": "111316453"}, {"ref": "chaitanyajamble/exercise-categorical-variables", "kernel_id": "111307602"}, {"ref": "liu1002/notebook2724e80c66", "kernel_id": "111556143"}, {"ref": "falrlz/housing-prices-advanced-fe-and-blended-models", "kernel_id": "111764877"}, {"ref": "maxwellmaslov/exercise-random-forests", "kernel_id": "111528365"}, {"ref": "flix14/exercise-random-forests", "kernel_id": "111817919"}, {"ref": "haditeo/exercise-machine-learning-competitions", "kernel_id": "112846427"}, {"ref": "joshuanguyenolson/house-prices-predicting-sale-price", "kernel_id": "112844465"}, {"ref": "abdelmasihashraf22/house-prices-competition", "kernel_id": "112741567"}, {"ref": "abdelmasihashraf22/exercise-random-forests", "kernel_id": "112741179"}, {"ref": "pepsee/notebookaa3aa95127", "kernel_id": "112443491"}, {"ref": "tylergilmore/exercise-random-forests", "kernel_id": "112143496"}, {"ref": "fsb2210/housing-prices-pseudo-labels", "kernel_id": "112587282"}, {"ref": "raymondmarx/exercise-random-forests", "kernel_id": "112855120"}, {"ref": "dannymccarragher/exercise-random-forests", "kernel_id": "112132292"}, {"ref": "reguelpangaribuan/housing-prices-competition-exercise", "kernel_id": "112492239"}, {"ref": "ash1706rai/exercise-missing-values", "kernel_id": "112270637"}, {"ref": "libanbritt/exercise-machine-learning-competitions", "kernel_id": "112159056"}, {"ref": "arslanrejepov/exercise-machine-learning-competitions", "kernel_id": "112682570"}, {"ref": "arslanrejepov/exercise-random-forests", "kernel_id": "112681550"}, {"ref": "arslanrejepov/exercise-model-validation", "kernel_id": "112450308"}, {"ref": "arslanrejepov/exercise-your-first-machine-learning-model", "kernel_id": "112383142"}, {"ref": "bishowchauhan/exercise-model-validation", "kernel_id": "112462274"}, {"ref": "ishimwegyslaine/exercise-missing-values", "kernel_id": "112483258"}, {"ref": "mohankrishnathalla/exercise-machine-learning-competitions", "kernel_id": "112396798"}, {"ref": "mohankrishnathalla/exercise-cross-validation", "kernel_id": "112566686"}, {"ref": "mohankrishnathalla/exercise-data-leakage", "kernel_id": "112567221"}, {"ref": "mohankrishnathalla/exercise-xgboost", "kernel_id": "112566979"}, {"ref": "mohankrishnathalla/exercise-pipelines", "kernel_id": "112566489"}, {"ref": "mohankrishnathalla/exercise-categorical-variables", "kernel_id": "112566105"}, {"ref": "mohankrishnathalla/exercise-introduction", "kernel_id": "112565582"}, {"ref": "mohankrishnathalla/exercise-missing-values", "kernel_id": "112565736"}, {"ref": "mohankrishnathalla/exercise-random-forests", "kernel_id": "112396716"}, {"ref": "mohankrishnathalla/exercise-underfitting-and-overfitting", "kernel_id": "112396574"}, {"ref": "mohankrishnathalla/exercise-model-validation", "kernel_id": "112396351"}, {"ref": "mohankrishnathalla/exercise-your-first-machine-learning-model", "kernel_id": "112395608"}, {"ref": "rohitv18/housing-price-prediction", "kernel_id": "112802119"}, {"ref": "danilborisenko/exercise-xgboost", "kernel_id": "112108106"}, {"ref": "danilborisenko/housing-prices-competition-solution", "kernel_id": "112276823"}, {"ref": "islombekturdiyev/exercise-introduction", "kernel_id": "112184917"}, {"ref": "glimhjer/exercise-machine-learning-competitions", "kernel_id": "112606886"}, {"ref": "alexbolshakov/exercise-random-forests", "kernel_id": "112136234"}, {"ref": "nickbutenko/notebook1011679d33", "kernel_id": "112134370"}, {"ref": "jacobwoodbury/notebookjacob", "kernel_id": "112140132"}, {"ref": "tavparsadsingh/notebook23cabb7b27", "kernel_id": "112153401"}, {"ref": "emilym77/notebook06ac2be10d", "kernel_id": "112217029"}, {"ref": "ddev28/notebookc1f16c03ab", "kernel_id": "112230207"}, {"ref": "kaalidabdirizakarare/exercise-random-forests", "kernel_id": "112457334"}, {"ref": "pragyandash/housing-price-prediction", "kernel_id": "113282785"}, {"ref": "busariaminat/exercise-your-first-machine-learning-model", "kernel_id": "113534625"}, {"ref": "kunalkatre03/exercise-machine-learning-competitions", "kernel_id": "113051707"}, {"ref": "powerrspyy/notebook6054b792e6", "kernel_id": "113924682"}, {"ref": "powerrspyy/notebook3efe5cb97d", "kernel_id": "113924855"}, {"ref": "chaimaamatrag/exercise-machine-learning-competitions", "kernel_id": "113877708"}, {"ref": "vithyamanjula/exercise-random-forests", "kernel_id": "113823104"}, {"ref": "javiernotzero/exercise-random-forests", "kernel_id": "113622723"}, {"ref": "ghoshsubuddha/first-notebook", "kernel_id": "113961730"}, {"ref": "shubhamdecode/exercise-machine-learning-competitions", "kernel_id": "114959611"}, {"ref": "mriosantana/exercise-missing-values", "kernel_id": "114388621"}, {"ref": "mriosantana/exercise-categorical-variables", "kernel_id": "114626926"}, {"ref": "mriosantana/exercise-pipelines", "kernel_id": "114818249"}, {"ref": "nakerthefirst/exercise-missing-values", "kernel_id": "114976656"}, {"ref": "arslanrejepov/wwwww", "kernel_id": "114379871"}, {"ref": "arslanrejepov/exercise-introduction", "kernel_id": "114291897"}, {"ref": "muqtasidraza/housingcompetionnotebook", "kernel_id": "114661992"}, {"ref": "kiaandutta/exercise-machine-learning-competitions", "kernel_id": "114655840"}, {"ref": "aarushkarak/exercise-model-validation", "kernel_id": "114701507"}, {"ref": "aarushkarak/exercise-explore-your-data", "kernel_id": "114701091"}, {"ref": "aarushkarak/exercise-your-first-ml-model", "kernel_id": "114701298"}, {"ref": "dumarchie/feature-redistribution", "kernel_id": "114463401"}, {"ref": "atheermari/lab44", "kernel_id": "114619039"}, {"ref": "alkakumari1234/exercise-your-first-machine-learning-model", "kernel_id": "114462172"}, {"ref": "ashvinikumargautam/exercise-data-leakage", "kernel_id": "114779023"}, {"ref": "muhammadummannoor/exercise-underfitting-and-overfitting", "kernel_id": "114430332"}, {"ref": "naurahkamilia/exercise-machine-learning-competitions", "kernel_id": "114685809"}, {"ref": "ahmedmohamedyehia1/notebookae300b41f8", "kernel_id": "115159167"}, {"ref": "catwar/my-first-attempt", "kernel_id": "115195782"}, {"ref": "rachitlour/exercise-introduction", "kernel_id": "115868341"}, {"ref": "muratcanyaman/house-price-prediction", "kernel_id": "115541107"}, {"ref": "bijuul/exercise-categorical-variables", "kernel_id": "115711053"}, {"ref": "wayne931121/hello-world", "kernel_id": "115430086"}, {"ref": "wayne931121/hello-world-1", "kernel_id": "115437425"}, {"ref": "bawekemekonnen/exercise-introduction", "kernel_id": "115713009"}, {"ref": "bawekemekonnen/exercise-missing-values", "kernel_id": "115738160"}, {"ref": "nakerthefirst/exercise-categorical-variables", "kernel_id": "115155524"}, {"ref": "nakerthefirst/exercise-data-leakage", "kernel_id": "115259677"}, {"ref": "nakerthefirst/exercise-xgboost", "kernel_id": "115254806"}, {"ref": "nakerthefirst/exercise-pipelines", "kernel_id": "115232503"}, {"ref": "shubhamchaubey131/exercise-categorical-variables", "kernel_id": "115545946"}, {"ref": "nicolasfiore/house-prices", "kernel_id": "115365336"}, {"ref": "emiliotriches/exercise-introduction", "kernel_id": "115551123"}, {"ref": "sarthakjaiswal0403/housing-price-prediction", "kernel_id": "115091012"}, {"ref": "shahariarsayemkanon/exercise-missing-values", "kernel_id": "115500711"}, {"ref": "maliotmilemile/home-data-competition-ml-course-submission", "kernel_id": "115274092"}, {"ref": "sureshbeekhani/data-leakage", "kernel_id": "116625773"}, {"ref": "sureshbeekhani/cross-validation", "kernel_id": "116618830"}, {"ref": "sureshbeekhani/pipelines", "kernel_id": "116618171"}, {"ref": "sureshbeekhani/xgboost", "kernel_id": "116619378"}, {"ref": "sureshbeekhani/missing-values", "kernel_id": "116616504"}, {"ref": "sureshbeekhani/categorical-variables", "kernel_id": "116616986"}, {"ref": "shubhamdecode/10-basic-house-price-prediction", "kernel_id": "116960565"}, {"ref": "amnaasabahat/housing-price-comp-rfr", "kernel_id": "116193026"}, {"ref": "mohammadhuzaifa025/exercise-introduction", "kernel_id": "116625170"}, {"ref": "mohammadhuzaifa025/exercise-machine-learning-competitions", "kernel_id": "116400119"}, {"ref": "isha1410/exercise-xgboost", "kernel_id": "116765258"}, {"ref": "isha1410/exercise-pipelines", "kernel_id": "116762165"}, {"ref": "isha1410/exercise-cross-validation", "kernel_id": "116763733"}, {"ref": "isha1410/exercise-introduction", "kernel_id": "116382528"}, {"ref": "isha1410/exercise-categorical-variables", "kernel_id": "116382943"}, {"ref": "arslanrejepov/dl-model-regression", "kernel_id": "116295037"}, {"ref": "harshsuman2/my-house-price-prediction-model", "kernel_id": "116387097"}, {"ref": "hongtrnghiu/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "116640837"}, {"ref": "muhammadmoazamned/fa25-msds-0012", "kernel_id": "116187277"}, {"ref": "ayushraj00925/complete-guide-150-features-optuna-stacking", "kernel_id": "116371972"}, {"ref": "sofialohr/house-price-learn-8", "kernel_id": "116687451"}, {"ref": "jek1wantaufik/lightgbm-k-fold-cv-for-house-price-prediction", "kernel_id": "116667740"}, {"ref": "shahariarsayemkanon/exercise-categorical-variables", "kernel_id": "116367764"}, {"ref": "nattakansiripornpan/exercise-your-first-machine-learning-model", "kernel_id": "116495890"}, {"ref": "kanhaiyakaggle/exercise-missing-values", "kernel_id": "116290157"}, {"ref": "kanhaiyakaggle/exercise-categorical-variables", "kernel_id": "116296514"}, {"ref": "kanhaiyakaggle/exercise-random-forests", "kernel_id": "116194810"}, {"ref": "kanhaiyakaggle/exercise-pipelines", "kernel_id": "116564270"}, {"ref": "priyankaghosh22/exercise-missing-values", "kernel_id": "116662039"}, {"ref": "balasubramaniang/house-price-prediction-project", "kernel_id": "117573924"}, {"ref": "surajgupta59/regression-with-all-models-achieving-top-300-spot", "kernel_id": "117004068"}, {"ref": "jake666/housing-prices-competition", "kernel_id": "117763163"}, {"ref": "nuke0663/exercise-machine-learning-competitions", "kernel_id": "117684786"}, {"ref": "mdmuftihabib/prices-prediction", "kernel_id": "117723374"}, {"ref": "isha1410/exercise-data-leakage", "kernel_id": "117562444"}, {"ref": "zaibasuzain/exercise-your-first-machine-learning-model", "kernel_id": "117735390"}, {"ref": "zaibasuzain/exercise-model-validation", "kernel_id": "117742915"}, {"ref": "zaibasuzain/exercise-random-forests", "kernel_id": "117766819"}, {"ref": "zaibasuzain/exercise-machine-learning-competitions", "kernel_id": "117773505"}, {"ref": "zaibasuzain/exercise-underfitting-and-overfitting", "kernel_id": "117761768"}, {"ref": "ubaidullah143/exercise-introduction", "kernel_id": "117999733"}, {"ref": "dovganv/exercise-machine-learning-competitions", "kernel_id": "117160998"}, {"ref": "dovganv/exercise-random-forests", "kernel_id": "117159413"}, {"ref": "dovganv/exercise-underfitting-and-overfitting", "kernel_id": "117158271"}, {"ref": "dovganv/exercise-model-validation", "kernel_id": "117152653"}, {"ref": "dovganv/exercise-your-first-machine-learning-model", "kernel_id": "117150153"}, {"ref": "arnavgupta404/exercise-machine-learning-competitions", "kernel_id": "117997861"}, {"ref": "eltonnichols/exercise-introduction", "kernel_id": "118230268"}, {"ref": "jeff10w25/hands-on-ml-randomforest-housing-price", "kernel_id": "118215018"}, {"ref": "ankitjha006/exercise-machine-learning-competitions", "kernel_id": "118581730"}, {"ref": "dkoerl/notebook-baseline", "kernel_id": "118550730"}, {"ref": "noafahima/exercise-machine-learning-competitions", "kernel_id": "118490632"}, {"ref": "keyanneapalomar/exercise-random-forests", "kernel_id": "118208170"}, {"ref": "jannaroldan/exercise-machine-learning-competitions", "kernel_id": "118602359"}, {"ref": "robitalhazmi/housing-prices-competition-for-kaggle-learn-users", "kernel_id": "119088832"}, {"ref": "sigbeta/my-housing-prices", "kernel_id": "119922913"}, {"ref": "athulkrishna23/housingprice", "kernel_id": "119051982"}, {"ref": "goodpjw2008/house-prices-5-seed-stack-bag-11838", "kernel_id": "119770896"}, {"ref": "omarsaeednegm/final-exercise-for-machine-learning-competitions", "kernel_id": "119621325"}, {"ref": "bawekemekonnen/exercise-xgboost", "kernel_id": "119798762"}, {"ref": "bawekemekonnen/exercise-cross-validation", "kernel_id": "119708514"}, {"ref": "bawekemekonnen/exercise-pipelines", "kernel_id": "119482811"}, {"ref": "hoodrichpirobo/exercise-underfitting-and-overfitting", "kernel_id": "119586501"}, {"ref": "hoodrichpirobo/housing-prices-competition", "kernel_id": "119870494"}, {"ref": "hoodrichpirobo/exercise-introduction", "kernel_id": "119941346"}, {"ref": "hoodrichpirobo/exercise-random-forests", "kernel_id": "119738791"}, {"ref": "hoodrichpirobo/exercise-machine-learning-competitions", "kernel_id": "119846607"}, {"ref": "hoodrichpirobo/exercise-your-first-machine-learning-model", "kernel_id": "119357525"}, {"ref": "hoodrichpirobo/exercise-model-validation", "kernel_id": "119465231"}, {"ref": "debanganghosh/exercise-missing-values", "kernel_id": "119672592"}, {"ref": "debanganghosh/categorical-variables-encoding-techniques", "kernel_id": "119838955"}, {"ref": "shreyabhattacharjeex/exercise-your-first-machine-learning-model", "kernel_id": "119052428"}, {"ref": "usmankhandilzak/most-structured-house-price-prediction", "kernel_id": "119789223"}, {"ref": "mdmuftihabib/exercise-model-validation", "kernel_id": "119595626"}, {"ref": "mdmuftihabib/exercise-your-first-machine-learning-model", "kernel_id": "119593953"}, {"ref": "mdmuftihabib/exercise-random-forests", "kernel_id": "119615722"}, {"ref": "mdmuftihabib/exercise-machine-learning-competitions", "kernel_id": "119616909"}, {"ref": "mdmuftihabib/exercise-underfitting-and-overfitting", "kernel_id": "119605447"}, {"ref": "sukheshboganadula/exercise-machine-learning-competitions", "kernel_id": "119377879"}, {"ref": "seifrobotics/exercise-missing-values", "kernel_id": "119288454"}, {"ref": "jeeleej/exercise-machine-learning-competitions", "kernel_id": "119630863"}, {"ref": "lordnawazx/exercise-machine-learning-competitions", "kernel_id": "119449835"}, {"ref": "vedantjadhav29/final-submission-housing-prices", "kernel_id": "119263716"}, {"ref": "theunknownx/exercise-machine-learning-competitions", "kernel_id": "119050916"}, {"ref": "hoodrichpirobo/exercise-missing-values", "kernel_id": "120095606"}, {"ref": "hoodrichpirobo/exercise-pipelines", "kernel_id": "120409011"}, {"ref": "hoodrichpirobo/exercise-categorical-variables", "kernel_id": "120306541"}, {"ref": "hoodrichpirobo/exercise-data-leakage", "kernel_id": "120696119"}, {"ref": "hoodrichpirobo/exercise-cross-validation", "kernel_id": "120545250"}, {"ref": "hoodrichpirobo/exercise-xgboost", "kernel_id": "120639157"}, {"ref": "abdurrehman445/exercise-model-validation", "kernel_id": "120422891"}, {"ref": "abdurrehman445/exercise-your-first-machine-learning-model", "kernel_id": "120418123"}, {"ref": "abdurrehman445/exercise-underfitting-and-overfitting", "kernel_id": "120452187"}, {"ref": "abdurrehman445/exercise-introduction-to-intermediate-ml", "kernel_id": "120528682"}, {"ref": "abdurrehman445/exercise-machine-learning-competitions", "kernel_id": "120527039"}, {"ref": "abdurrehman445/exercise-random-forests", "kernel_id": "120526484"}, {"ref": "abdurrehman445/exercise-missing-values", "kernel_id": "120530973"}, {"ref": "debanganghosh/xgboost-best-ml-model-for-gradient-boosting", "kernel_id": "120208861"}, {"ref": "debanganghosh/pipelines-for-ml-models", "kernel_id": "120183865"}, {"ref": "simidubey/exercise-underfitting-and-overfitting", "kernel_id": "120668739"}, {"ref": "samantarodrguez/notebook75d64dd819", "kernel_id": "120679286"}, {"ref": "josepablocorrea/notebook53678018af", "kernel_id": "120904184"}, {"ref": "diegogonzlezsalgado/situaci-n-problema", "kernel_id": "120797201"}, {"ref": "diegogonzlezsalgado/situaci-n-problema-diego", "kernel_id": "120808591"}, {"ref": "kumarparijat/exercise-data-leakage", "kernel_id": "120954873"}, {"ref": "kumarparijat/exercise-xgboost", "kernel_id": "120947451"}, {"ref": "kumarparijat/exercise-cross-validation", "kernel_id": "120942543"}, {"ref": "kumarparijat/exercise-categorical-variables", "kernel_id": "120864277"}, {"ref": "kumarparijat/exercise-pipelines", "kernel_id": "120878182"}, {"ref": "kumarparijat/exercise-missing-values", "kernel_id": "120859163"}, {"ref": "kumarparijat/exercise-introduction", "kernel_id": "120854618"}, {"ref": "kumarparijat/exercise-model-validation", "kernel_id": "120737760"}, {"ref": "kumarparijat/exercise-underfitting-and-overfitting", "kernel_id": "120740522"}, {"ref": "kumarparijat/exercise-machine-learning-competitions", "kernel_id": "120741938"}, {"ref": "kumarparijat/exercise-random-forests", "kernel_id": "120741390"}, {"ref": "kumarparijat/exercise-your-first-machine-learning-model", "kernel_id": "120735349"}, {"ref": "charankrishna098/houseprices1", "kernel_id": "120290474"}, {"ref": "zacharycarney/notebook1eb1f7346e", "kernel_id": "120028835"}, {"ref": "jasontgv/exercise-missing-values", "kernel_id": "120705100"}, {"ref": "alannahaguirre/exercise-random-forests", "kernel_id": "120630244"}, {"ref": "vishaltripathy2023/kaggle-intro-to-machine-learning-notebook", "kernel_id": "121495946"}, {"ref": "evgendvorkin/catboost-13916-top-8", "kernel_id": "121090611"}, {"ref": "abdurrehman445/exercise-pipelines", "kernel_id": "121225259"}, {"ref": "abdurrehman445/exercise-cross-validation", "kernel_id": "121227788"}, {"ref": "patriciofloresesain/data-science-project", "kernel_id": "121472103"}, {"ref": "mdferozahmedafm/exercise-machine-learning-competitions", "kernel_id": "121371896"}, {"ref": "mdferozahmedafm/exercise-model-validation", "kernel_id": "121376044"}, {"ref": "mdferozahmedafm/exercise-your-first-machine-learning-model", "kernel_id": "121370653"}, {"ref": "mdferozahmedafm/exercise-underfitting-and-overfitting", "kernel_id": "121371152"}, {"ref": "mdferozahmedafm/exercise-random-forests", "kernel_id": "121371519"}, {"ref": "mohammednafayali/exercise-pipelines", "kernel_id": "121198174"}, {"ref": "linzaydnavarrete/fork-of-notebookc0cdc85b1f", "kernel_id": "121886968"}, {"ref": "paulacarrillogonzlez/notebook9f00241c2f", "kernel_id": "121736725"}, {"ref": "sebastiancamacho17/evidence-2-data-science-project", "kernel_id": "121751758"}, {"ref": "josmarionavarrete/examen-final", "kernel_id": "121877431"}, {"ref": "josmarionavarrete/notebookc5a1739df1", "kernel_id": "121876500"}, {"ref": "mariapaugarcess/situacion-problema-maria-paula-garces", "kernel_id": "121417250"}, {"ref": "emiliosnchezrodri/evidence-2", "kernel_id": "121872700"}, {"ref": "diyalakhaniiiii/exercise-your-first-machine-learning-model", "kernel_id": "121214038"}, {"ref": "diyalakhaniiiii/exercise-model-validation", "kernel_id": "121214739"}, {"ref": "diyalakhaniiiii/exercise-underfitting-and-overfitting", "kernel_id": "121215350"}, {"ref": "diyalakhaniiiii/exercise-random-forests", "kernel_id": "121215824"}, {"ref": "joymietalicuad/exercise-model-validation", "kernel_id": "121072852"}, {"ref": "joymietalicuad/exercise-underfitting-and-overfitting", "kernel_id": "121081617"}, {"ref": "joymietalicuad/exercise-your-first-machine-learning-model", "kernel_id": "121065662"}, {"ref": "chepurisiddhartha/exercise-machine-learning-competitions", "kernel_id": "121843143"}, {"ref": "riyanshkallu/exercise-xgboost", "kernel_id": "121208479"}, {"ref": "ailanasirai/exercise-machine-learning-competitions", "kernel_id": "121924954"}, {"ref": "ailanasirai/exercise-underfitting-and-overfitting", "kernel_id": "121898595"}, {"ref": "ailanasirai/exercise-random-forests", "kernel_id": "121906371"}, {"ref": "ailanasirai/exercise-model-validation", "kernel_id": "121302827"}, {"ref": "aimallkhan/exercise-your-first-machine-learning-model", "kernel_id": "121791363"}, {"ref": "falakmittal07/exercise-machine-learning-competitions", "kernel_id": "121376411"}, {"ref": "joshuanguyenolson/home-prices-random-forest-regression", "kernel_id": "122176307"}, {"ref": "oteewrites/exercise-model-validation", "kernel_id": "122082873"}, {"ref": "oteewrites/exercise-underfitting-and-overfitting", "kernel_id": "122552964"}, {"ref": "alinakharisova/house-prices-regression", "kernel_id": "122909955"}, {"ref": "bawekemekonnen/exercise-data-leakage", "kernel_id": "122628587"}, {"ref": "gayathrireddy874/exercise-your-first-machine-learning-model", "kernel_id": "122858835"}, {"ref": "gayathrireddy874/exercise-underfitting-and-overfitting", "kernel_id": "122860960"}, {"ref": "gayathrireddy874/exercise-model-validation", "kernel_id": "122860242"}, {"ref": "gayathrireddy874/exercise-random-forests", "kernel_id": "122862073"}, {"ref": "gayathrireddy874/exercise-machine-learning-competitions", "kernel_id": "122862631"}, {"ref": "mdmuftihabib/exercise-categorical-variables", "kernel_id": "122318451"}, {"ref": "mdmuftihabib/exercise-missing-values", "kernel_id": "122151450"}, {"ref": "furkhanchowdri/exercise-your-first-machine-learning-model", "kernel_id": "122877210"}, {"ref": "furkhanchowdri/exercise-random-forests", "kernel_id": "122885220"}, {"ref": "furkhanchowdri/exercise-underfitting-and-overfitting", "kernel_id": "122880927"}, {"ref": "furkhanchowdri/exercise-model-validation", "kernel_id": "122879471"}, {"ref": "furkhanchowdri/exercise-machine-learning-competitions", "kernel_id": "122901757"}, {"ref": "zainahraza/exercise-machine-learning-competitions", "kernel_id": "122993717"}, {"ref": "dumarchie/linear-meta-modeling", "kernel_id": "122505710"}, {"ref": "kushagrasrivastava21/exercise-machine-learning-competitions", "kernel_id": "122628109"}, {"ref": "udayawasthi/exercise-your-first-machine-learning-model", "kernel_id": "122698512"}, {"ref": "kirtikaaa/exercise-machine-learning-competitions", "kernel_id": "122789041"}, {"ref": "evangeliamparkas/datascienceproject-mparkas", "kernel_id": "122104438"}, {"ref": "prantamohajan/notebook6129fe9f73", "kernel_id": "122132233"}, {"ref": "ailanasirai/exercise-xgboost", "kernel_id": "122994721"}, {"ref": "ailanasirai/exercise-cross-validation", "kernel_id": "122993110"}, {"ref": "ailanasirai/exercise-data-leakage", "kernel_id": "122998122"}, {"ref": "ailanasirai/exercise-introduction", "kernel_id": "122921962"}, {"ref": "ailanasirai/exercise-categorical-variables", "kernel_id": "122934662"}, {"ref": "ailanasirai/exercise-missing-values", "kernel_id": "122924590"}, {"ref": "sydanic/exercise-machine-learning-competitions", "kernel_id": "122890229"}, {"ref": "sydanic/exercise-introduction", "kernel_id": "122893798"}, {"ref": "abdelrahmaneng/house-prices-comp", "kernel_id": "122338470"}, {"ref": "aimallkhan/exercise-model-validation", "kernel_id": "122694493"}, {"ref": "aimallkhan/exercise-random-forests", "kernel_id": "122972269"}, {"ref": "shahzaibkahloon/exercise-categorical-variables", "kernel_id": "122400584"}, {"ref": "preyanka/exercise-machine-learning-competitions", "kernel_id": "123116797"}, {"ref": "mabubakkaraslam/exercise-model-validation", "kernel_id": "123391304"}, {"ref": "raneemababneh/exercise-model-validation", "kernel_id": "123853854"}, {"ref": "udayawasthi/exercise-random-forests", "kernel_id": "123684307"}, {"ref": "udayawasthi/exercise-machine-learning-competitions", "kernel_id": "123685236"}, {"ref": "udayawasthi/exercise-underfitting-and-overfitting", "kernel_id": "123682893"}, {"ref": "udayawasthi/exercise-model-validation", "kernel_id": "123413539"}, {"ref": "zhenruiweng/concepts-of-regression-and-example", "kernel_id": "123063895"}, {"ref": "gojosataros/exercise-model-validation", "kernel_id": "123101359"}, {"ref": "prateekkumarkuntal/exercise-your-first-machine-learning-model", "kernel_id": "123288042"}, {"ref": "gagandeepgambhir2/exercise-model-validation", "kernel_id": "123788765"}, {"ref": "gagandeepgambhir2/exercise-your-first-machine-learning-model", "kernel_id": "123787282"}, {"ref": "gagandeepgambhir2/exercise-machine-learning-competitions", "kernel_id": "123812901"}, {"ref": "gagandeepgambhir2/exercise-random-forests", "kernel_id": "123812600"}, {"ref": "gagandeepgambhir2/exercise-underfitting-and-overfitting", "kernel_id": "123809516"}, {"ref": "sydanic/exercise-missing-values", "kernel_id": "123011937"}, {"ref": "calumhughes/exercise-missing-values", "kernel_id": "123173041"}, {"ref": "jayantkhatriofficial/exercise-machine-learning-competitions", "kernel_id": "123675148"}, {"ref": "miadul/smart-house-price-prediction", "kernel_id": "124267061"}, {"ref": "dalileholadzadeh/exercise-introduction", "kernel_id": "124959268"}, {"ref": "nabhagsorathiya/exercise-machine-learning-competitions", "kernel_id": "124875584"}, {"ref": "aryansinghkushwah/house-price-prediction-using-random-forest", "kernel_id": "124632916"}, {"ref": "jorgerojas1986/ames-housing-price-prediction", "kernel_id": "124969577"}, {"ref": "yadav98788/ml-practice", "kernel_id": "124332266"}, {"ref": "aimallkhan/exercise-introduction", "kernel_id": "124358969"}, {"ref": "ananayasood/house-price-prediction-decision-tree", "kernel_id": "124552429"}, {"ref": "sumitdwi123/exercise-machine-learning-competitions", "kernel_id": "124455587"}, {"ref": "muhammadquliyev/exercise-your-first-machine-learning-model", "kernel_id": "125847002"}, {"ref": "priyalg19/exercise-model-validation", "kernel_id": "125669045"}, {"ref": "priyalg19/exercise-underfitting-and-overfitting", "kernel_id": "125670206"}, {"ref": "priyalg19/exercise-your-first-machine-learning-model", "kernel_id": "125661888"}, {"ref": "priyalg19/exercise-random-forests", "kernel_id": "125679192"}, {"ref": "priyalg19/exercise-machine-learning-competitions", "kernel_id": "125679710"}, {"ref": "tunnz15/exercise-machine-learning-competitions", "kernel_id": "125129976"}, {"ref": "secretiveplotter1863/exercise-model-validation", "kernel_id": "125253251"}, {"ref": "secretiveplotter1863/exercise-your-first-machine-learning-model", "kernel_id": "125251768"}, {"ref": "remnazdurgut/exercise-underfitting-and-overfitting", "kernel_id": "125075514"}, {"ref": "remnazdurgut/exercise-random-forests", "kernel_id": "125077674"}, {"ref": "remnazdurgut/exercise-model-validation", "kernel_id": "125057705"}, {"ref": "remnazdurgut/exercise-your-first-machine-learning-model", "kernel_id": "125054783"}, {"ref": "remnazdurgut/exercise-introduction", "kernel_id": "125193200"}, {"ref": "remnazdurgut/exercise-missing-values", "kernel_id": "125200787"}, {"ref": "remnazdurgut/exercise-categorical-variables", "kernel_id": "125435346"}, {"ref": "remnazdurgut/exercise-data-leakage", "kernel_id": "125529708"}, {"ref": "remnazdurgut/exercise-xgboost", "kernel_id": "125526412"}, {"ref": "remnazdurgut/exercise-cross-validation", "kernel_id": "125454479"}, {"ref": "remnazdurgut/exercise-pipelines", "kernel_id": "125451436"}, {"ref": "serdararici/ames-housing-price-prediction", "kernel_id": "125760172"}, {"ref": "joymietalicuad/exercise-categorical-variables", "kernel_id": "125282947"}, {"ref": "joymietalicuad/exercise-pipelines", "kernel_id": "125284165"}, {"ref": "joymietalicuad/exercise-data-leakage", "kernel_id": "125287638"}, {"ref": "joymietalicuad/exercise-xgboost", "kernel_id": "125287206"}, {"ref": "seeratezahra/exercise-your-first-machine-learning-model", "kernel_id": "125939297"}, {"ref": "aimallkhan/exercise-missing-values", "kernel_id": "125498979"}, {"ref": "aimallkhan/exercise-categorical-variables", "kernel_id": "125527087"}, {"ref": "singhadityaprakash20/exercise-missing-values", "kernel_id": "125018815"}, {"ref": "muqadas20/exercise-underfitting-and-overfitting", "kernel_id": "125515848"}, {"ref": "muqadas20/exercise-random-forests", "kernel_id": "125515953"}, {"ref": "muqadas20/exercise-your-first-machine-learning-model", "kernel_id": "125515421"}, {"ref": "ananayasood/housing-rates-predictor-random-forest", "kernel_id": "125970946"}, {"ref": "pamelanuezosorio/exercise-machine-learning-competitions", "kernel_id": "125814194"}, {"ref": "difallahhadjar/exercise-model-validation", "kernel_id": "126621683"}, {"ref": "difallahhadjar/exercise-your-first-machine-learning-model", "kernel_id": "126618646"}, {"ref": "rohidshakoorzada/hpc-v1", "kernel_id": "126676266"}, {"ref": "jananir22/exercise-machine-learning-competitions", "kernel_id": "126211733"}, {"ref": "muhammadquliyev/exercise-underfitting-and-overfitting", "kernel_id": "126171480"}, {"ref": "muhammadquliyev/exercise-model-validation", "kernel_id": "126170273"}, {"ref": "muhammadquliyev/exercise-random-forests", "kernel_id": "126281258"}, {"ref": "rayyanmoinudeen/exercise-machine-learning-competitions", "kernel_id": "126584391"}, {"ref": "itsparmeet007/house-price-prediction", "kernel_id": "126428393"}, {"ref": "kowsyy/exercise-random-forests", "kernel_id": "126821669"}, {"ref": "kowsyy/exercise-machine-learning-competitions", "kernel_id": "126821858"}, {"ref": "kowsyy/exercise-model-validation", "kernel_id": "126819738"}, {"ref": "kowsyy/exercise-underfitting-and-overfitting", "kernel_id": "126820944"}, {"ref": "kowsyy/exercise-your-first-machine-learning-model", "kernel_id": "126818735"}, {"ref": "prachitideshmukh/exercise-introduction", "kernel_id": "126980844"}, {"ref": "raymond08/housing-price-full-prediction", "kernel_id": "126253204"}, {"ref": "ishmeetk13/housing-prices-prediction", "kernel_id": "126134833"}, {"ref": "danielmccartney6/exercise-missing-values", "kernel_id": "126953714"}, {"ref": "sundusizhar/exercise-missing-values", "kernel_id": "126490290"}, {"ref": "sundusizhar/exercise-categorical-variables", "kernel_id": "126629178"}, {"ref": "haridassramalingam/exercise-your-first-machine-learning-model", "kernel_id": "126103669"}, {"ref": "kaglerian/notebook23dc7d1c07", "kernel_id": "126267960"}, {"ref": "franyerlopez/exercise-missing-values", "kernel_id": "126077994"}, {"ref": "zaraakbar24/exercise-your-first-machine-learning-model", "kernel_id": "126718679"}, {"ref": "chanball/exercise-machine-learning-competitions", "kernel_id": "126057289"}, {"ref": "aimallkhan/exercise-pipelines", "kernel_id": "126120345"}, {"ref": "hielgadea/fork-of-notebook852b883b95", "kernel_id": "126254503"}, {"ref": "rsakthimukesh/exercise-model-validation", "kernel_id": "126374507"}, {"ref": "jassermissaoui/exercise-categorical-variables", "kernel_id": "126618071"}, {"ref": "jassermissaoui/exercise-introduction", "kernel_id": "126612558"}, {"ref": "jassermissaoui/exercise-missing-values", "kernel_id": "126614302"}, {"ref": "jassermissaoui/exercise-pipelines", "kernel_id": "126736434"}, {"ref": "nurasylserikov/sub-13-500-prep-pipeline-stacking-boosters", "kernel_id": "127846617"}, {"ref": "mdmuftihabib/exercise-pipelines", "kernel_id": "127497944"}, {"ref": "mdmuftihabib/exercise-cross-validation", "kernel_id": "127910804"}, {"ref": "sparrshsanghi/notebooka87252775f", "kernel_id": "127355843"}, {"ref": "farhankhanmarwat/california-housing-price-prediction-using-ml", "kernel_id": "127037613"}, {"ref": "vivienjz/exercise-your-first-machine-learning-model", "kernel_id": "127435391"}, {"ref": "vivienjz/exercise-data-leakage", "kernel_id": "127435188"}, {"ref": "vivienjz/exercise-model-validation", "kernel_id": "127435915"}, {"ref": "vivienjz/exercise-machine-learning-competitions", "kernel_id": "127378729"}, {"ref": "vivienjz/exercise-categorical-variables", "kernel_id": "127434790"}, {"ref": "vivienjz/exercise-pipelines", "kernel_id": "127434945"}, {"ref": "vivienjz/exercise-cross-validation", "kernel_id": "127434993"}, {"ref": "vivienjz/exercise-xgboost", "kernel_id": "127435096"}, {"ref": "prachitideshmukh/exercise-categorical-variables", "kernel_id": "127921218"}, {"ref": "prachitideshmukh/exercise-pipelines", "kernel_id": "127930859"}, {"ref": "prachitideshmukh/exercise-missing-values", "kernel_id": "127093442"}, {"ref": "vinay24baghira/house-prices-feature-engineering-gbr", "kernel_id": "127756162"}, {"ref": "alanoudemad/exercise-model-validation", "kernel_id": "127533875"}, {"ref": "javeriaakmal/exercise-pipelines", "kernel_id": "127077764"}, {"ref": "javeriaakmal/exercise-categorical-variables", "kernel_id": "127076112"}, {"ref": "javeriaakmal/exercise-missing-values", "kernel_id": "127074292"}, {"ref": "manugoudruh/notebook0125aaa648", "kernel_id": "127602075"}, {"ref": "alpdll/houseprices", "kernel_id": "127054272"}, {"ref": "srnpln75/housingprices", "kernel_id": "127994453"}, {"ref": "altangowy47/exercise-model-validation", "kernel_id": "127301807"}, {"ref": "altangowy47/exercise-underfitting-and-overfitting", "kernel_id": "127565110"}, {"ref": "olumidealadesiun/exercise-machine-learning-competitions", "kernel_id": "128075320"}, {"ref": "olumidealadesiun/exercise-missing-values", "kernel_id": "128288773"}, {"ref": "dakshbhalala/house-price", "kernel_id": "128573611"}, {"ref": "arpitakayal/notebook03f729567e", "kernel_id": "128494202"}, {"ref": "eziokenway6610398/housing-prices-xgb-cat-krr", "kernel_id": "128112611"}, {"ref": "mdmuftihabib/exercise-data-leakage", "kernel_id": "128018136"}, {"ref": "mdmuftihabib/exercise-xgboost", "kernel_id": "128016670"}, {"ref": "sparrshsanghi/notebook0ae05e95b6", "kernel_id": "128265678"}, {"ref": "abdelrahmantahat/notebook60224d3c9b", "kernel_id": "128967459"}, {"ref": "dumarchie/heteroscedasticity", "kernel_id": "128218108"}, {"ref": "waryammangi/house-price-prediction-random-forest-regressor", "kernel_id": "128318605"}, {"ref": "sahilrakeshsingh/exercise-machine-learning-competitions", "kernel_id": "128223197"}, {"ref": "aimallkhan/exercise-data-leakage", "kernel_id": "128371193"}, {"ref": "aimallkhan/exercise-xgboost", "kernel_id": "128319768"}, {"ref": "hasan555/exercise-categorical-variables", "kernel_id": "128808270"}, {"ref": "hamzahsaif/exercise-machine-learning-competitions", "kernel_id": "128442231"}, {"ref": "iyanacarpenter/exercise-introduction", "kernel_id": "128126040"}, {"ref": "marwankh/exercise-cross-validation", "kernel_id": "129807623"}, {"ref": "marwankh/exercise-pipelines", "kernel_id": "129804962"}, {"ref": "marwankh/exercise-data-leakage", "kernel_id": "129813237"}, {"ref": "marwankh/exercise-xgboost", "kernel_id": "129810592"}, {"ref": "marwankh/exercise-categorical-variables", "kernel_id": "129775123"}, {"ref": "marwankh/exercise-your-first-machine-learning-model", "kernel_id": "129069700"}, {"ref": "marwankh/exercise-model-validation", "kernel_id": "129088684"}, {"ref": "marwankh/exercise-random-forests", "kernel_id": "129160898"}, {"ref": "marwankh/exercise-underfitting-and-overfitting", "kernel_id": "129159391"}, {"ref": "marwankh/exercise-missing-values", "kernel_id": "129280535"}, {"ref": "marwankh/exercise-introduction", "kernel_id": "129274101"}, {"ref": "marwankh/exercise-machine-learning-competitions", "kernel_id": "129163164"}, {"ref": "paulogomestavares/2-explora-o-b-sica-de-dados", "kernel_id": "129631751"}, {"ref": "aarushkarak/exercise-underfitting-overfitting", "kernel_id": "129087164"}, {"ref": "aarushkarak/exercise-random-forests", "kernel_id": "129087169"}, {"ref": "mabdulrehman00/exercise-introduction", "kernel_id": "129025086"}, {"ref": "harshh1310/exercise-your-first-machine-learning-model", "kernel_id": "129370818"}, {"ref": "abdanurayazbek/ml-exercise-your-first-machine-learning-model", "kernel_id": "129770063"}, {"ref": "barnalitanti/iowa-housing-dataset-machine-learning-baseline", "kernel_id": "129121283"}, {"ref": "shashvatsingham/mae-wants-the-median-rmse-wants-the-mean", "kernel_id": "130546666"}, {"ref": "vincenthwq/home-data-ml-ensemble", "kernel_id": "130908071"}, {"ref": "yousefmohamed36/exercise-machine-learning-competitions", "kernel_id": "130765189"}, {"ref": "goktugoguz/exercise-your-first-machine-learning-model", "kernel_id": "130650084"}, {"ref": "pratwwk/exercise-machine-learning-competitions", "kernel_id": "130437911"}, {"ref": "nzrnshannen/exercise-machine-learning-competitions", "kernel_id": "130383522"}, {"ref": "jitenhudda/exercise-your-first-machine-learning-model", "kernel_id": "130186753"}, {"ref": "jitenhudda/exercise-model-validation", "kernel_id": "130188454"}, {"ref": "jitenhudda/exercise-underfitting-and-overfitting", "kernel_id": "130190209"}, {"ref": "jitenhudda/exercise-random-forests", "kernel_id": "130190798"}, {"ref": "jahongirtuychiyev/predict-house-prices-with-ml", "kernel_id": "130739583"}, {"ref": "abdanurayazbek/ml-exercise-model-validation", "kernel_id": "130209690"}, {"ref": "khadijaaasaeed/missing-value-imputation-strategies", "kernel_id": "130826562"}, {"ref": "khadijaaasaeed/my-first-ml-model-decision-trees-walkthrough", "kernel_id": "130581888"}, {"ref": "khadijaaasaeed/machine-learning-competitions", "kernel_id": "130564912"}, {"ref": "khadijaaasaeed/exercise-underfitting-and-overfitting", "kernel_id": "130529625"}, {"ref": "khadijaaasaeed/random-forests-regression-model-comparison", "kernel_id": "130563648"}, {"ref": "khadijaaasaeed/evaluating-model-perfomance-with-mae", "kernel_id": "130415300"}, {"ref": "khadijaaasaeed/my-first-machine-learning-model", "kernel_id": "130409354"}, {"ref": "sachinkaizen/house-price-predition", "kernel_id": "130340924"}, {"ref": "hauntedbyte/exercise-machine-learning-competitions", "kernel_id": "130670820"}, {"ref": "mukilanar/exercise-machine-learning-competitions", "kernel_id": "131202438"}, {"ref": "eliasdguy/from-scratch-l2-regression-w-bayesianoptimization", "kernel_id": "131292294"}, {"ref": "aliazizi1/exercise-categorical-variables", "kernel_id": "131906831"}, {"ref": "cyborgnayak/exercise-machine-learning-competitions", "kernel_id": "131829376"}, {"ref": "ijlalhaiderhehe/exercise-machine-learning-competitions", "kernel_id": "131539100"}, {"ref": "favouradeyem/exercise-model-validation", "kernel_id": "131873412"}, {"ref": "anasansari0308/adv-home-price-prediction-machine-learning-model", "kernel_id": "131179888"}, {"ref": "alfezkhan71/house-prices-prediction", "kernel_id": "131613017"}, {"ref": "shreyamaindargikar/exercise-machine-learning-competitions", "kernel_id": "131711761"}, {"ref": "rkrohitkumar/house-price-predition", "kernel_id": "131175102"}, {"ref": "mahmoudalalwani/exercise-machine-learning-competitions", "kernel_id": "131190000"}, {"ref": "mahmoudalalwani/underfitting-and-overfitting", "kernel_id": "131188059"}, {"ref": "mahmoudalalwani/model-validation", "kernel_id": "131185745"}, {"ref": "nalamsiva/house-prediction", "kernel_id": "131025335"}, {"ref": "renataelisabeth/exercise-your-first-machine-learning-model", "kernel_id": "131872885"}, {"ref": "stevenzhua/exercise-your-first-machine-learning-model", "kernel_id": "131781998"}, {"ref": "dedquoc/ames-housing-price-prediction", "kernel_id": "132430228"}, {"ref": "boyarkinnikita/learn-step-by-step", "kernel_id": "132447292"}, {"ref": "eddy12597/exercise-your-first-machine-learning-model", "kernel_id": "132271851"}, {"ref": "eddy12597/exercise-random-forests", "kernel_id": "132835481"}, {"ref": "eddy12597/exercise-machine-learning-competitions", "kernel_id": "132835583"}, {"ref": "eddy12597/exercise-model-validation", "kernel_id": "132834797"}, {"ref": "eddy12597/exercise-underfitting-and-overfitting", "kernel_id": "132835175"}, {"ref": "mcprorolexs/house-price-prediction-model-around-top-5", "kernel_id": "132004493"}, {"ref": "sakinasaifit/exercise-machine-learning-competitions", "kernel_id": "132814693"}, {"ref": "abdanurayazbek/ml-exercise-underfitting-and-overfitting", "kernel_id": "132726493"}, {"ref": "pullaguramaithresh/exercise-machine-learning-competitions", "kernel_id": "132461411"}, {"ref": "abubakralqubati/competition", "kernel_id": "132170216"}, {"ref": "kohenjulieta/exercise-your-first-machine-learning-model", "kernel_id": "132716958"}, {"ref": "kohenjulieta/exercise-model-validation", "kernel_id": "132954805"}, {"ref": "narcissaaraminta/exercise-model-validation", "kernel_id": "132950822"}, {"ref": "narcissaaraminta/exercise-machine-learning-competitions", "kernel_id": "132951409"}, {"ref": "narcissaaraminta/exercise-underfitting-and-overfitting", "kernel_id": "132951048"}, {"ref": "narcissaaraminta/exercise-random-forests", "kernel_id": "132951274"}, {"ref": "narcissaaraminta/exercise-your-first-machine-learning-model", "kernel_id": "132950033"}, {"ref": "liyanacollins/exercise-model-validation", "kernel_id": "132998497"}, {"ref": "liyanacollins/exercise-machine-learning-competitions", "kernel_id": "132999954"}, {"ref": "liyanacollins/exercise-random-forests", "kernel_id": "132999537"}, {"ref": "liyanacollins/exercise-underfitting-and-overfitting", "kernel_id": "132999260"}, {"ref": "tracejosette/exercise-model-validation", "kernel_id": "132834402"}, {"ref": "tracejosette/exercise-your-first-machine-learning-model", "kernel_id": "132717013"}, {"ref": "renataelisabeth/exercise-underfitting-and-overfitting", "kernel_id": "132835612"}, {"ref": "renataelisabeth/exercise-random-forests", "kernel_id": "132949685"}, {"ref": "renataelisabeth/exercise-machine-learning-competitions", "kernel_id": "132950382"}, {"ref": "renataelisabeth/exercise-model-validation", "kernel_id": "132138498"}, {"ref": "migueldemetria/exercise-random-forests", "kernel_id": "132950543"}, {"ref": "migueldemetria/exercise-machine-learning-competitions", "kernel_id": "132950759"}, {"ref": "migueldemetria/exercise-your-first-machine-learning-model", "kernel_id": "132836062"}, {"ref": "migueldemetria/exercise-model-validation", "kernel_id": "132836288"}, {"ref": "migueldemetria/exercise-underfitting-and-overfitting", "kernel_id": "132836533"}, {"ref": "lilaalabaster/exercise-your-first-machine-learning-model", "kernel_id": "132950897"}, {"ref": "lulaaizal/exercise-your-first-machine-learning-model", "kernel_id": "132950730"}, {"ref": "lulaaizal/exercise-model-validation", "kernel_id": "132951253"}, {"ref": "lulaaizal/exercise-underfitting-and-overfitting", "kernel_id": "132951519"}, {"ref": "lulaaizal/exercise-machine-learning-competitions", "kernel_id": "132953252"}, {"ref": "lulaaizal/exercise-random-forests", "kernel_id": "132952113"}, {"ref": "marloweeoghan/exercise-model-validation", "kernel_id": "132952074"}, {"ref": "marloweeoghan/exercise-underfitting-and-overfitting", "kernel_id": "132951431"}, {"ref": "marloweeoghan/exercise-random-forests", "kernel_id": "132951259"}, {"ref": "marloweeoghan/exercise-machine-learning-competitions", "kernel_id": "132950757"}, {"ref": "marloweeoghan/exercise-your-first-machine-learning-model", "kernel_id": "132950655"}, {"ref": "kenzojazlyn/exercise-your-first-machine-learning-model", "kernel_id": "132963247"}, {"ref": "kenzojazlyn/exercise-model-validation", "kernel_id": "132964092"}, {"ref": "kenzojazlyn/exercise-underfitting-and-overfitting", "kernel_id": "132964366"}, {"ref": "kenzojazlyn/exercise-machine-learning-competitions", "kernel_id": "132964774"}, {"ref": "kenzojazlyn/exercise-random-forests", "kernel_id": "132964600"}, {"ref": "walteradrielle/exercise-machine-learning-competitions", "kernel_id": "132950813"}, {"ref": "walteradrielle/exercise-random-forests", "kernel_id": "132871283"}, {"ref": "walteradrielle/exercise-underfitting-and-overfitting", "kernel_id": "132870885"}, {"ref": "walteradrielle/exercise-model-validation", "kernel_id": "132870377"}, {"ref": "walteradrielle/exercise-your-first-machine-learning-model", "kernel_id": "132166987"}, {"ref": "maryamaleeem767/exercise-random-forests", "kernel_id": "132776436"}, {"ref": "maryamaleeem767/exercise-machine-learning-competitions", "kernel_id": "132777167"}, {"ref": "maryamaleeem767/exercise-model-validation", "kernel_id": "132376424"}, {"ref": "maryamaleeem767/exercise-your-first-machine-learning-model", "kernel_id": "132372101"}, {"ref": "maryamaleeem767/exercise-underfitting-and-overfitting", "kernel_id": "132396421"}, {"ref": "davidyidicheng/exercise-model-validation", "kernel_id": "132959624"}, {"ref": "davidyidicheng/exercise-your-first-machine-learning-model", "kernel_id": "132959196"}, {"ref": "stevenzhua/exercise-machine-learning-competitions", "kernel_id": "132717569"}, {"ref": "stevenzhua/exercise-random-forests", "kernel_id": "132716997"}, {"ref": "stevenzhua/exercise-missing-values", "kernel_id": "132836086"}, {"ref": "stevenzhua/exercise-introduction", "kernel_id": "132834609"}, {"ref": "stevenzhua/exercise-underfitting-and-overfitting", "kernel_id": "132610164"}, {"ref": "stevenzhua/exercise-model-validation", "kernel_id": "132273133"}, {"ref": "sanketjundhare87/notebook480505dd19", "kernel_id": "132381065"}, {"ref": "roccopersiani/housepredictionnotebook", "kernel_id": "133520854"}, {"ref": "manhdodz249/machine-learning-in-r", "kernel_id": "133779376"}, {"ref": "robaabuamara/house-price-prediction", "kernel_id": "133231776"}, {"ref": "paulogomestavares/your-first-machine-learning-model", "kernel_id": "133654168"}, {"ref": "arutamonofu/housing-prices-top-2-public", "kernel_id": "133138287"}, {"ref": "eymenakb/housing-prices-comp-kaggle", "kernel_id": "133138688"}, {"ref": "abdanurayazbek/ml-exercise-random-forests", "kernel_id": "133501443"}, {"ref": "loucastiel/exercise-machine-learning-competitions", "kernel_id": "133233627"}, {"ref": "reginajamari/exercise-machine-learning-competitions", "kernel_id": "133349249"}, {"ref": "kohenjulieta/exercise-underfitting-and-overfitting", "kernel_id": "133010813"}, {"ref": "kohenjulieta/exercise-random-forests", "kernel_id": "133012093"}, {"ref": "kohenjulieta/exercise-machine-learning-competitions", "kernel_id": "133014870"}, {"ref": "sajacassia/exercise-model-validation", "kernel_id": "133012308"}, {"ref": "sajacassia/exercise-random-forests", "kernel_id": "133014102"}, {"ref": "sajacassia/exercise-machine-learning-competitions", "kernel_id": "133014512"}, {"ref": "sajacassia/exercise-underfitting-and-overfitting", "kernel_id": "133013484"}, {"ref": "sajacassia/exercise-your-first-machine-learning-model", "kernel_id": "133010689"}, {"ref": "xochitlgeneva/exercise-underfitting-and-overfitting", "kernel_id": "133326858"}, {"ref": "xochitlgeneva/exercise-model-validation", "kernel_id": "133326491"}, {"ref": "xochitlgeneva/exercise-random-forests", "kernel_id": "133327022"}, {"ref": "xochitlgeneva/exercise-machine-learning-competitions", "kernel_id": "133327128"}, {"ref": "xochitlgeneva/exercise-your-first-machine-learning-model", "kernel_id": "133062952"}, {"ref": "tracejosette/exercise-machine-learning-competitions", "kernel_id": "133018642"}, {"ref": "tracejosette/exercise-underfitting-and-overfitting", "kernel_id": "133017484"}, {"ref": "tracejosette/exercise-random-forests", "kernel_id": "133018277"}, {"ref": "kerryjamir/exercise-underfitting-and-overfitting", "kernel_id": "133013545"}, {"ref": "kerryjamir/exercise-random-forests", "kernel_id": "133013859"}, {"ref": "kerryjamir/exercise-machine-learning-competitions", "kernel_id": "133014021"}, {"ref": "kerryjamir/exercise-model-validation", "kernel_id": "133013040"}, {"ref": "kaileabartholomew/exercise-your-first-machine-learning-model", "kernel_id": "133093198"}, {"ref": "kaileabartholomew/exercise-model-validation", "kernel_id": "133094360"}, {"ref": "kaileabartholomew/exercise-underfitting-and-overfitting", "kernel_id": "133181433"}, {"ref": "kaileabartholomew/exercise-random-forests", "kernel_id": "133181452"}, {"ref": "kaileabartholomew/exercise-machine-learning-competitions", "kernel_id": "133181456"}, {"ref": "seamusebony/exercise-underfitting-and-overfitting", "kernel_id": "133067292"}, {"ref": "seamusebony/exercise-random-forests", "kernel_id": "133073167"}, {"ref": "seamusebony/exercise-model-validation", "kernel_id": "133066953"}, {"ref": "seamusebony/exercise-your-first-machine-learning-model", "kernel_id": "133066286"}, {"ref": "seamusebony/exercise-machine-learning-competitions", "kernel_id": "133074303"}, {"ref": "velvetjones/exercise-machine-learning-competitions", "kernel_id": "133460134"}, {"ref": "velvetjones/exercise-your-first-machine-learning-model", "kernel_id": "133457509"}, {"ref": "velvetjones/exercise-model-validation", "kernel_id": "133459386"}, {"ref": "velvetjones/exercise-underfitting-and-overfitting", "kernel_id": "133459712"}, {"ref": "velvetjones/exercise-random-forests", "kernel_id": "133459880"}, {"ref": "lilaalabaster/exercise-model-validation", "kernel_id": "133075568"}, {"ref": "lilaalabaster/exercise-underfitting-and-overfitting", "kernel_id": "133236057"}, {"ref": "lilaalabaster/exercise-random-forests", "kernel_id": "133236077"}, {"ref": "lilaalabaster/exercise-machine-learning-competitions", "kernel_id": "133236080"}, {"ref": "tariandaleyza/exercise-random-forests", "kernel_id": "133066865"}, {"ref": "tariandaleyza/exercise-underfitting-and-overfitting", "kernel_id": "133065857"}, {"ref": "tariandaleyza/exercise-machine-learning-competitions", "kernel_id": "133067108"}, {"ref": "tariandaleyza/exercise-model-validation", "kernel_id": "133063432"}, {"ref": "tariandaleyza/exercise-your-first-machine-learning-model", "kernel_id": "133062440"}, {"ref": "sarahieliana/exercise-machine-learning-competitions", "kernel_id": "133377490"}, {"ref": "marieachille/exercise-your-first-machine-learning-model", "kernel_id": "133062679"}, {"ref": "marieachille/exercise-model-validation", "kernel_id": "133064306"}, {"ref": "marieachille/exercise-underfitting-and-overfitting", "kernel_id": "133064512"}, {"ref": "marieachille/exercise-random-forests", "kernel_id": "133064801"}, {"ref": "marieachille/exercise-machine-learning-competitions", "kernel_id": "133065122"}, {"ref": "davidyidicheng/exercise-machine-learning-competitions", "kernel_id": "133199614"}, {"ref": "davidyidicheng/exercise-random-forests", "kernel_id": "133179203"}, {"ref": "davidyidicheng/exercise-underfitting-and-overfitting", "kernel_id": "133178095"}, {"ref": "michellepenguf/exercise-introduction", "kernel_id": "133666187"}, {"ref": "mudassiria/housing-prices-competition", "kernel_id": "134489313"}, {"ref": "egor2005/exercise-categorical-variables", "kernel_id": "134723614"}, {"ref": "egor2005/exercise-introduction", "kernel_id": "134691560"}, {"ref": "egor2005/exercise-missing-values", "kernel_id": "134703310"}, {"ref": "egor2005/exercise-pipelines", "kernel_id": "134960042"}, {"ref": "isaachusaiin/exercise-missing-values", "kernel_id": "134766157"}, {"ref": "bishalprasadjaiswal/housing-prices-prediction-beginner-guide", "kernel_id": "134136858"}, {"ref": "snehanshum/houing-kggle-salesprice", "kernel_id": "134946517"}, {"ref": "zaibunnisazaman0703/exercise-machine-learning-competitions", "kernel_id": "134804027"}, {"ref": "metzgersantos/exercise-machine-learning-competitions", "kernel_id": "134471189"}, {"ref": "lindokuhlemathebula/exercise-introduction", "kernel_id": "134609208"}, {"ref": "mehakdhomeja/exercise-machine-learning-competitions", "kernel_id": "134890084"}, {"ref": "mirodesiree/exercise-your-first-machine-learning-model", "kernel_id": "134810843"}, {"ref": "mirodesiree/exercise-underfitting-and-overfitting", "kernel_id": "134811286"}, {"ref": "mirodesiree/exercise-random-forests-773ffd", "kernel_id": "134811414"}, {"ref": "mirodesiree/exercise-machine-learning-competitions", "kernel_id": "134811684"}, {"ref": "mirodesiree/exercise-model-validation", "kernel_id": "134811098"}, {"ref": "olgacoen/exercise-your-first-machine-learning-model", "kernel_id": "134295671"}, {"ref": "olgacoen/exercise-model-validation", "kernel_id": "134295677"}, {"ref": "olgacoen/exercise-underfitting-and-overfitting", "kernel_id": "134295700"}, {"ref": "olgacoen/exercise-random-forests", "kernel_id": "134295709"}, {"ref": "olgacoen/exercise-machine-learning-competitions", "kernel_id": "134295713"}, {"ref": "shedrackmafwala/exercise-machine-learning-competitions", "kernel_id": "134841348"}, {"ref": "jaiswalbishal/linear-regression-with-regularization", "kernel_id": "134537731"}, {"ref": "adheevazzahra/20926010-ilmania-syakira", "kernel_id": "135759437"}, {"ref": "eddy12597/exercise-pipelines", "kernel_id": "135983866"}, {"ref": "eddy12597/exercise-categorical-variables", "kernel_id": "135981618"}, {"ref": "eddy12597/exercise-missing-values", "kernel_id": "135969285"}, {"ref": "eddy12597/exercise-introduction", "kernel_id": "135966904"}, {"ref": "athiyyahdzatil/exercise-machine-learning-competitions", "kernel_id": "135984937"}, {"ref": "nakshyadav/exercise-machine-learning-competitions", "kernel_id": "135981445"}, {"ref": "chokak/i-dont-know", "kernel_id": "135862141"}, {"ref": "denismihalache/notebook9b9ea75d03", "kernel_id": "135013239"}, {"ref": "warnerduke/exercise-introduction", "kernel_id": "135305650"}, {"ref": "warnerduke/exercise-categorical-variables", "kernel_id": "135313966"}, {"ref": "warnerduke/exercise-missing-values", "kernel_id": "135313260"}, {"ref": "warnerduke/exercise-xgboost", "kernel_id": "135332196"}, {"ref": "warnerduke/exercise-data-leakage", "kernel_id": "135332415"}, {"ref": "warnerduke/exercise-pipelines", "kernel_id": "135331283"}, {"ref": "warnerduke/exercise-cross-validation", "kernel_id": "135331757"}, {"ref": "landynaloysius/exercise-xgboost", "kernel_id": "135456917"}, {"ref": "landynaloysius/exercise-data-leakage", "kernel_id": "135593120"}, {"ref": "landynaloysius/exercise-pipelines", "kernel_id": "135313512"}, {"ref": "landynaloysius/exercise-cross-validation", "kernel_id": "135314258"}, {"ref": "landynaloysius/exercise-missing-values", "kernel_id": "135308818"}, {"ref": "landynaloysius/exercise-categorical-variables", "kernel_id": "135309376"}, {"ref": "landynaloysius/exercise-introduction", "kernel_id": "135307864"}, {"ref": "kohenjulieta/exercise-introduction", "kernel_id": "135164107"}, {"ref": "kohenjulieta/exercise-cross-validation", "kernel_id": "135781627"}, {"ref": "kohenjulieta/exercise-pipelines", "kernel_id": "135762641"}, {"ref": "kohenjulieta/exercise-categorical-variables", "kernel_id": "135759288"}, {"ref": "sajacassia/exercise-xgboost", "kernel_id": "135447620"}, {"ref": "sajacassia/exercise-data-leakage", "kernel_id": "135448018"}, {"ref": "sajacassia/exercise-cross-validation", "kernel_id": "135446914"}, {"ref": "sajacassia/exercise-introduction", "kernel_id": "135331563"}, {"ref": "sajacassia/exercise-missing-values", "kernel_id": "135331896"}, {"ref": "sajacassia/exercise-categorical-variables", "kernel_id": "135332532"}, {"ref": "sajacassia/exercise-pipelines", "kernel_id": "135332844"}, {"ref": "rafaygulliver/exercise-cross-validation", "kernel_id": "135554885"}, {"ref": "rafaygulliver/exercise-xgboost", "kernel_id": "135556126"}, {"ref": "rafaygulliver/exercise-data-leakage", "kernel_id": "135556878"}, {"ref": "rafaygulliver/exercise-categorical-variables", "kernel_id": "135552232"}, {"ref": "rafaygulliver/exercise-pipelines", "kernel_id": "135553926"}, {"ref": "rafaygulliver/exercise-introduction", "kernel_id": "135545708"}, {"ref": "rafaygulliver/exercise-missing-values", "kernel_id": "135545906"}, {"ref": "tracejosette/exercise-xgboost", "kernel_id": "135480654"}, {"ref": "tracejosette/exercise-data-leakage", "kernel_id": "135483266"}, {"ref": "tracejosette/exercise-pipelines", "kernel_id": "135334996"}, {"ref": "tracejosette/exercise-cross-validation", "kernel_id": "135470681"}, {"ref": "tracejosette/exercise-missing-values", "kernel_id": "135306425"}, {"ref": "tracejosette/exercise-introduction", "kernel_id": "135305437"}, {"ref": "tracejosette/exercise-categorical-variables", "kernel_id": "135323504"}, {"ref": "kerryjamir/exercise-categorical-variables", "kernel_id": "135447944"}, {"ref": "kerryjamir/exercise-missing-values", "kernel_id": "135447377"}, {"ref": "kerryjamir/exercise-introduction", "kernel_id": "135341230"}, {"ref": "kerryjamir/exercise-pipelines", "kernel_id": "135601949"}, {"ref": "kerryjamir/exercise-cross-validation", "kernel_id": "135602810"}, {"ref": "kerryjamir/exercise-data-leakage", "kernel_id": "135603804"}, {"ref": "kerryjamir/exercise-xgboost", "kernel_id": "135603249"}, {"ref": "renataelisabeth/exercise-xgboost", "kernel_id": "135592814"}, {"ref": "renataelisabeth/exercise-data-leakage", "kernel_id": "135593111"}, {"ref": "renataelisabeth/exercise-pipelines", "kernel_id": "135591895"}, {"ref": "renataelisabeth/exercise-cross-validation", "kernel_id": "135592076"}, {"ref": "renataelisabeth/exercise-missing-values", "kernel_id": "135590155"}, {"ref": "renataelisabeth/exercise-categorical-variables", "kernel_id": "135591081"}, {"ref": "renataelisabeth/exercise-introduction", "kernel_id": "135587641"}, {"ref": "tariandaleyza/exercise-introduction", "kernel_id": "135588051"}, {"ref": "lulaaizal/notebook74bdf5dd60", "kernel_id": "135447449"}, {"ref": "lulaaizal/exercise-missing-values", "kernel_id": "135463873"}, {"ref": "marloweeoghan/exercise-missing-values", "kernel_id": "135588121"}, {"ref": "marloweeoghan/exercise-categorical-variables", "kernel_id": "135588651"}, {"ref": "marloweeoghan/exercise-pipelines", "kernel_id": "135588987"}, {"ref": "marloweeoghan/exercise-introduction", "kernel_id": "135587920"}, {"ref": "marloweeoghan/exercise-xgboost", "kernel_id": "135589566"}, {"ref": "marloweeoghan/exercise-data-leakage", "kernel_id": "135589855"}, {"ref": "marloweeoghan/exercise-cross-validation", "kernel_id": "135589172"}, {"ref": "kenzojazlyn/exercise-pipelines", "kernel_id": "135310493"}, {"ref": "kenzojazlyn/exercise-categorical-variables", "kernel_id": "135310803"}, {"ref": "kenzojazlyn/exercise-introduction", "kernel_id": "135307836"}, {"ref": "kenzojazlyn/exercise-data-leakage", "kernel_id": "135309407"}, {"ref": "kenzojazlyn/exercise-xgboost", "kernel_id": "135309710"}, {"ref": "kenzojazlyn/exercise-cross-validation", "kernel_id": "135310042"}, {"ref": "kenzojazlyn/exercise-missing-values", "kernel_id": "135309375"}, {"ref": "sarahieliana/exercise-xgboost", "kernel_id": "135306471"}, {"ref": "sarahieliana/exercise-missing-values", "kernel_id": "135305725"}, {"ref": "sarahieliana/exercise-categorical-variables", "kernel_id": "135305840"}, {"ref": "sarahieliana/exercise-pipelines", "kernel_id": "135305998"}, {"ref": "sarahieliana/exercise-cross-validation", "kernel_id": "135306109"}, {"ref": "sarahieliana/exercise-data-leakage", "kernel_id": "135306948"}, {"ref": "sarahieliana/exercise-introduction", "kernel_id": "135305571"}, {"ref": "walteradrielle/exercise-introduction", "kernel_id": "135304293"}, {"ref": "anndyluu/exercise-introduction", "kernel_id": "135588410"}, {"ref": "anndyluu/exercise-missing-values", "kernel_id": "135590243"}, {"ref": "clementnath/tugas-1-intro-to-ml-clement-nathanael-23526039", "kernel_id": "136340223"}, {"ref": "eddy12597/exercise-cross-validation", "kernel_id": "136072577"}, {"ref": "eddy12597/exercise-xgboost", "kernel_id": "136079848"}, {"ref": "eddy12597/exercise-data-leakage", "kernel_id": "136081363"}, {"ref": "arbhdmoa22/exercise-model-validation", "kernel_id": "136444499"}, {"ref": "arbhdmoa22/exercise-underfitting-and-overfitting", "kernel_id": "136444842"}, {"ref": "arbhdmoa22/exercise-random-forests", "kernel_id": "136445198"}, {"ref": "arbhdmoa22/exercise-machine-learning-competitions", "kernel_id": "136445342"}, {"ref": "alexanderchaika/exercise-your-first-machine-learning-model", "kernel_id": "136243687"}, {"ref": "ahmadktk/exercise-machine-learning-competitions", "kernel_id": "136134086"}, {"ref": "jitendrasingh091/data-loading-overview", "kernel_id": "136387379"}, {"ref": "khaeratunnisa/tugas-01-ml-33225302", "kernel_id": "136544716"}, {"ref": "loucastiel/introduction", "kernel_id": "136219882"}, {"ref": "loucastiel/missing-values", "kernel_id": "136220250"}, {"ref": "loucastiel/introduction-intermediate-machine-learning", "kernel_id": "136220083"}, {"ref": "loucastiel/categorical-variables", "kernel_id": "136220313"}, {"ref": "loucastiel/pipelines", "kernel_id": "136220384"}, {"ref": "loucastiel/cross-validation", "kernel_id": "136220488"}, {"ref": "loucastiel/xgboost", "kernel_id": "136220610"}, {"ref": "loucastiel/data-leakage-1", "kernel_id": "136220759"}, {"ref": "reginajamari/exercise-missing-values", "kernel_id": "136282180"}, {"ref": "reginajamari/exercise-categorical-variables", "kernel_id": "136282963"}, {"ref": "reginajamari/exercise-pipelines", "kernel_id": "136283759"}, {"ref": "reginajamari/exercise-introduction", "kernel_id": "136281714"}, {"ref": "reginajamari/exercise-cross-validation", "kernel_id": "136285300"}, {"ref": "reginajamari/exercise-data-leakage", "kernel_id": "136330189"}, {"ref": "reginajamari/exercise-xgboost", "kernel_id": "136329623"}, {"ref": "liyanacollins/exercise-xgboost", "kernel_id": "136269723"}, {"ref": "liyanacollins/exercise-data-leakage", "kernel_id": "136270086"}, {"ref": "liyanacollins/exercise-cross-validation", "kernel_id": "136268873"}, {"ref": "liyanacollins/exercise-pipelines", "kernel_id": "136187182"}, {"ref": "liyanacollins/exercise-missing-values", "kernel_id": "136186213"}, {"ref": "liyanacollins/exercise-introduction", "kernel_id": "136185900"}, {"ref": "liyanacollins/exercise-categorical-variables", "kernel_id": "136186835"}, {"ref": "xochitlgeneva/exercise-introduction", "kernel_id": "136274087"}, {"ref": "xochitlgeneva/exercise-missing-values", "kernel_id": "136274495"}, {"ref": "xochitlgeneva/exercise-categorical-variables", "kernel_id": "136275943"}, {"ref": "xochitlgeneva/exercise-pipelines", "kernel_id": "136277360"}, {"ref": "xochitlgeneva/exercise-cross-validation", "kernel_id": "136277586"}, {"ref": "xochitlgeneva/exercise-xgboost", "kernel_id": "136277979"}, {"ref": "xochitlgeneva/exercise-data-leakage", "kernel_id": "136278693"}, {"ref": "migueldemetria/exercise-missing-values", "kernel_id": "136052741"}, {"ref": "migueldemetria/exercise-data-leakage", "kernel_id": "136059987"}, {"ref": "migueldemetria/exercise-cross-validation", "kernel_id": "136055502"}, {"ref": "migueldemetria/exercise-xgboost", "kernel_id": "136056297"}, {"ref": "migueldemetria/exercise-categorical-variables", "kernel_id": "136054565"}, {"ref": "migueldemetria/exercise-pipelines", "kernel_id": "136054903"}, {"ref": "velvetjones/exercise-pipelines", "kernel_id": "136333729"}, {"ref": "velvetjones/exercise-cross-validation", "kernel_id": "136334019"}, {"ref": "velvetjones/exercise-missing-values", "kernel_id": "136332728"}, {"ref": "velvetjones/exercise-introduction", "kernel_id": "136332418"}, {"ref": "velvetjones/exercise-categorical-variables", "kernel_id": "136333307"}, {"ref": "velvetjones/exercise-xgboost", "kernel_id": "136334672"}, {"ref": "tariandaleyza/exercise-xgboost", "kernel_id": "136074125"}, {"ref": "tariandaleyza/exercise-cross-validation", "kernel_id": "136073473"}, {"ref": "tariandaleyza/exercise-pipelines", "kernel_id": "136073009"}, {"ref": "tariandaleyza/exercise-missing-values", "kernel_id": "136071742"}, {"ref": "tariandaleyza/exercise-categorical-variables", "kernel_id": "136072290"}, {"ref": "tariandaleyza/exercise-data-leakage", "kernel_id": "136134199"}, {"ref": "lulaaizal/exercise-categorical-variables", "kernel_id": "136104969"}, {"ref": "lulaaizal/exercise-data-leakage", "kernel_id": "136184786"}, {"ref": "lulaaizal/exercise-xgboost", "kernel_id": "136184450"}, {"ref": "lulaaizal/exercise-cross-validation", "kernel_id": "136183732"}, {"ref": "lulaaizal/exercise-pipelines", "kernel_id": "136183103"}, {"ref": "walteradrielle/exercise-missing-values", "kernel_id": "136185346"}, {"ref": "walteradrielle/exercise-categorical-variables", "kernel_id": "136186014"}, {"ref": "walteradrielle/exercise-pipelines", "kernel_id": "136186457"}, {"ref": "walteradrielle/exercise-xgboost", "kernel_id": "136187201"}, {"ref": "walteradrielle/exercise-data-leakage", "kernel_id": "136187605"}, {"ref": "walteradrielle/exercise-cross-validation", "kernel_id": "136186716"}, {"ref": "marieachille/exercise-missing-values", "kernel_id": "136125543"}, {"ref": "marieachille/exercise-categorical-variables", "kernel_id": "136125558"}, {"ref": "marieachille/exercise-pipelines", "kernel_id": "136125987"}, {"ref": "marieachille/exercise-introduction", "kernel_id": "136125402"}, {"ref": "marieachille/exercise-data-leakage", "kernel_id": "136126650"}, {"ref": "marieachille/exercise-xgboost", "kernel_id": "136126644"}, {"ref": "marieachille/exercise-cross-validation", "kernel_id": "136126638"}, {"ref": "stevenzhua/exercise-pipelines", "kernel_id": "136270781"}, {"ref": "stevenzhua/exercise-cross-validation", "kernel_id": "136271006"}, {"ref": "stevenzhua/exercise-xgboost", "kernel_id": "136271015"}, {"ref": "stevenzhua/exercise-data-leakage", "kernel_id": "136271023"}, {"ref": "stevenzhua/exercise-categorical-variables", "kernel_id": "136261489"}]}
{"competition_id": "10214", "kernels": [{"ref": "vishnuraga/bank-marketing-uci", "kernel_id": "1316815"}, {"ref": "nssvidya/bank-marketing-notebook-01", "kernel_id": "1344572"}, {"ref": "nssvidya/bank-marketing-kernel-1", "kernel_id": "1344657"}, {"ref": "nssvidya/bank-marketing", "kernel_id": "1358765"}, {"ref": "antonias/bank-campaign-prediction", "kernel_id": "4176217"}, {"ref": "ankit3bhagat/notebookea92820d29", "kernel_id": "34661463"}, {"ref": "onkarpawar18/customer-churn-prediction-97-85-onkar-pawar", "kernel_id": "34711221"}, {"ref": "harshitgadge/predictive-modeling-for-customer-churn-harshit", "kernel_id": "34646793"}, {"ref": "anshchourasia/bank-marketing-uci", "kernel_id": "34615558"}, {"ref": "vaishnavi05052001/predictive-modeling-for-customer-churn", "kernel_id": "34638411"}, {"ref": "adityaraj1506/uni-project", "kernel_id": "34668755"}, {"ref": "shaumilsahariya/end-to-end-till-flask-98-accuracy", "kernel_id": "34626470"}, {"ref": "omkarcgode/assignment-omkar-gode", "kernel_id": "34488737"}, {"ref": "paragchordia/bank-churn-analysis", "kernel_id": "34739145"}, {"ref": "funxexcel/ipba-15-ml-case-study", "kernel_id": "40836793"}, {"ref": "huylmhuhu/lime-shap-for-finance", "kernel_id": "117790898"}]}
{"competition_id": "10226", "kernels": []}
{"competition_id": "10228", "kernels": []}
{"competition_id": "10249", "kernels": []}
{"competition_id": "10270", "kernels": []}
{"competition_id": "10281", "kernels": []}
{"competition_id": "10296", "kernels": [{"ref": "c0conuts/telecom-churn-prediction-xgb-kfold", "kernel_id": "1404372"}, {"ref": "erikmanukyan/telecom", "kernel_id": "29526288"}]}
{"competition_id": "10300", "kernels": [{"ref": "ashishpatel26/now-you-see-me", "kernel_id": "1639801"}, {"ref": "rajuspartan/exploratory-data-analysis-with-reusable-functions", "kernel_id": "2890072"}, {"ref": "jonathande4/deep-dive-into-the-tmdb-random-scene-edition", "kernel_id": "2897509"}, {"ref": "marcocarnini/feature-engineering-iv", "kernel_id": "2936957"}, {"ref": "marcocarnini/feature-engineering-iii", "kernel_id": "2925157"}, {"ref": "marcocarnini/adding-features-i", "kernel_id": "2876927"}, {"ref": "marcocarnini/improving-the-basic-model", "kernel_id": "2862527"}, {"ref": "marcocarnini/basic-exploration", "kernel_id": "2859694"}, {"ref": "robikscube/movie-db-box-office-prediction-intro-and-eda", "kernel_id": "2900836"}, {"ref": "artgor/eda-feature-engineering-and-model-interpretation", "kernel_id": "2892223"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "ashishpatel26/genetic-algorithm-for-beginner-to-advance", "kernel_id": "2159938"}, {"ref": "gravix/gradient-in-a-box", "kernel_id": "2860103"}, {"ref": "enric1296/complete-guide-eda-feat-model", "kernel_id": "2999218"}, {"ref": "datark1/tmdb-detailed-eda-and-time-series", "kernel_id": "2883281"}, {"ref": "swwintels/pca-and-svd-to-represent-multi-category-vars", "kernel_id": "2977833"}, {"ref": "holar9/xgboost-starter", "kernel_id": "2865398"}, {"ref": "iamfuture/tmdb-challenge", "kernel_id": "2945719"}, {"ref": "ajitesh0202/eda-xgboost", "kernel_id": "2981062"}, {"ref": "kannannarayanan/linear-regression-on-box-office-revenue-prediction", "kernel_id": "2902294"}, {"ref": "naman1998/data-exploration-tmdb", "kernel_id": "2938363"}, {"ref": "njpurcell/box-office-knn", "kernel_id": "2882697"}, {"ref": "fadeon/popcorn-time", "kernel_id": "2975479"}, {"ref": "williamduong291996/predict-box", "kernel_id": "2895946"}, {"ref": "gabsgabs9/test1", "kernel_id": "2910589"}, {"ref": "wallgren/boxofficeprediction-using-randomforest", "kernel_id": "2891054"}, {"ref": "rajendrakutwal7/movierevenuprediction", "kernel_id": "2857082"}, {"ref": "bivek2211/eda-feature-engineering-box-office", "kernel_id": "2922912"}, {"ref": "kamalchhirang/eda-feature-engineering-lgb-xgb-cat", "kernel_id": "2857293"}, {"ref": "somang1418/eda-lgb-xgb-modelings-with-a-cute-panda-meme", "kernel_id": "2894584"}, {"ref": "ashirwadsangwan/tmdb-revenue-prediction-for-movies", "kernel_id": "2899688"}, {"ref": "liviuasnash/predict-movies-step-by-step", "kernel_id": "2957163"}, {"ref": "jazivxt/krush-groove-1985-and-that-s-the-way-it-is", "kernel_id": "2857140"}, {"ref": "fedewole/simple-tutorial-of-tmdb-box-office-competition", "kernel_id": "2950271"}, {"ref": "paulopinheiro/paulo-s-fun-kernel", "kernel_id": "2941691"}, {"ref": "jazmad/set-up-different-linear-models", "kernel_id": "2903931"}, {"ref": "jazmad/some-basic-analysis-and-linear-model", "kernel_id": "2903191"}, {"ref": "jiegeng94/simple-tmdb-prediction-with-gradient-boosting", "kernel_id": "2912002"}, {"ref": "jiegeng94/machine-learning-beginner-tutorial", "kernel_id": "2998293"}, {"ref": "palend/ensemble-xgb-lgbm-catboost", "kernel_id": "2904852"}, {"ref": "dixitaditya/a-beginner-s-guide-to-eda-fe-and-modelling", "kernel_id": "3824370"}, {"ref": "tijlkindt/simple-tmdb-prediction-with-linear-regression", "kernel_id": "3399876"}, {"ref": "silverfoxdss/revenues-intuitions-pandasql", "kernel_id": "3758123"}, {"ref": "chenhanhsiao/tmdb-box-office-prediction-xgboost", "kernel_id": "3594593"}, {"ref": "shilparai/mv-imputation-outliers-detection-prediction", "kernel_id": "3534347"}, {"ref": "fabiogabriel/let-it-go", "kernel_id": "3545688"}, {"ref": "ayusov/box-office-eda", "kernel_id": "3210229"}, {"ref": "karanchauhan0/tmdb-competition", "kernel_id": "3303294"}, {"ref": "sumitdas84/tmdb-box-office-prediction", "kernel_id": "3676967"}, {"ref": "chuckatx25/boxoffice-quick", "kernel_id": "3922407"}, {"ref": "ahmedengu/fork-eda-feature-engineering-lgb-xgb-cat", "kernel_id": "3143811"}, {"ref": "praxitelisk/tmdb-box-office-prediction-eda-ml", "kernel_id": "3814271"}, {"ref": "alexgomes3/tmdb-data-viz", "kernel_id": "3637984"}, {"ref": "samusram/film-industry-curiosities-box-office-prediction", "kernel_id": "3576964"}, {"ref": "whigy9/data-reshape", "kernel_id": "3127392"}, {"ref": "kushalnaidu/data-mining-assignment", "kernel_id": "3602292"}, {"ref": "sinchanbhattacharya/eda-data", "kernel_id": "3535725"}, {"ref": "tundraman/extensive-feature-engineering-for-tmdb-xgboost", "kernel_id": "3828605"}, {"ref": "a4anandr/tmdb-anand", "kernel_id": "3347476"}, {"ref": "stearnsio/what-makes-a-movie-profitable", "kernel_id": "3005934"}, {"ref": "ivangord/movie-kernel", "kernel_id": "3289245"}, {"ref": "sarthakpawar/tmdb-box-office-prediction-using-feature-selection", "kernel_id": "3568171"}, {"ref": "raghavendrakotala/first-submision", "kernel_id": "3637988"}, {"ref": "metesarang/eda-feature-engineering-regression-models", "kernel_id": "3163662"}, {"ref": "shubham2306/tmdb-revenueprediction", "kernel_id": "3861354"}, {"ref": "virajdattt/tmdb-box-office-prediction", "kernel_id": "3919359"}, {"ref": "lilsummer877/hyperopt-tuning-on-lightgbm-and-xgb", "kernel_id": "3705083"}, {"ref": "bhatb27/ols-and-gradient-descent-regression", "kernel_id": "3020062"}, {"ref": "akkibansal/box-office-prediction", "kernel_id": "3223484"}, {"ref": "thirumani/movie-db-linearregression", "kernel_id": "3600561"}, {"ref": "sridharnarasaiahgari/movie-kernel-telugu", "kernel_id": "3543958"}, {"ref": "akshat4112/tmdbprediction", "kernel_id": "3263215"}, {"ref": "joanalpinto/moviestmdb-datapreparation", "kernel_id": "3637167"}, {"ref": "antoniogcorreia/tmdb-running-some-tests", "kernel_id": "3874933"}, {"ref": "chulongli/tmdb-feat-eng-xgb-tuning", "kernel_id": "3900724"}, {"ref": "daslef/eda01v2", "kernel_id": "3939615"}, {"ref": "tarunpaparaju/tmdb-box-office-comprehensive-eda", "kernel_id": "3728101"}, {"ref": "ichabuddaeta/data-cleaning-endevors-and-random-feature-creation", "kernel_id": "3686523"}, {"ref": "surajdidwania/kernel4ae94a38d3", "kernel_id": "3536238"}, {"ref": "amignan/in-parameter-space-no-one-can-hear-you-scream", "kernel_id": "3092736"}, {"ref": "venkateshradhakrish/tmdb-feature-engineering-with-r", "kernel_id": "3680607"}, {"ref": "saptarsi96/tmdb-beginners-level", "kernel_id": "3043796"}, {"ref": "hoooching/feature-engineering-eda-random-forest", "kernel_id": "3022873"}, {"ref": "dude431/interactive-eda-next-level", "kernel_id": "3484539"}, {"ref": "dude431/eda-fe-lgbm-no-external-data", "kernel_id": "3468429"}, {"ref": "donatastamosauskas/first-take-on-tmdb-challenge", "kernel_id": "3353256"}, {"ref": "xsakix/box-office-one", "kernel_id": "3004286"}, {"ref": "nnick14/box-office-prediction-with-xgboost", "kernel_id": "3814419"}, {"ref": "vaibhavmathur96/tmdb-prediction", "kernel_id": "3889176"}, {"ref": "belagoesr/tmdb-box-office-prediction", "kernel_id": "3849551"}, {"ref": "himanshu16497/kernela874629ddf", "kernel_id": "3543134"}, {"ref": "snovaisg/eda-ndssimao", "kernel_id": "3645514"}, {"ref": "mthomas94/eda-fe-lgbm-no-external-data", "kernel_id": "3224350"}, {"ref": "ta97fp/data-treatment-lightgbm", "kernel_id": "3767171"}, {"ref": "kvkr1997/eda-for-prediction-by-ghost", "kernel_id": "3363808"}, {"ref": "adrianoavelar/simple-clean-tmdb-box-office-prediction", "kernel_id": "3992750"}, {"ref": "georgipetkov/json-columns-to-data-frame", "kernel_id": "3145166"}, {"ref": "wyxgoishin/eda-feature-engineering-and-model-interpretation", "kernel_id": "3555327"}, {"ref": "dway88/feature-eng-feature-importance-random-forest", "kernel_id": "3402874"}, {"ref": "orion99/movie-box-office-collection-prediction", "kernel_id": "3422667"}, {"ref": "somang1418/time-to-tune-your-model-shortandsweet", "kernel_id": "3627736"}, {"ref": "milesma/tmdb-box-office-prediction", "kernel_id": "3501544"}, {"ref": "sarthakbatra/box-office-revenue-random-forest-tutorial", "kernel_id": "3678671"}, {"ref": "bodyatv/final-data-58fdac", "kernel_id": "3266732"}, {"ref": "tmznql1234/tmdb-base-model", "kernel_id": "3709104"}, {"ref": "tmznql1234/3rd-model", "kernel_id": "3861833"}, {"ref": "tmznql1234/seoul-coding-academy", "kernel_id": "3637618"}, {"ref": "liviuasnash/gender-power-gender-diversity-impact-on-revenue", "kernel_id": "3188850"}, {"ref": "mwosik/eda-of-tmdb-box-office-prediction", "kernel_id": "3727336"}, {"ref": "palbha/tmdb-box-office-prediction", "kernel_id": "3835479"}, {"ref": "anitha136/tmdb-box-office-prediction-random-forest-regressor", "kernel_id": "3016050"}, {"ref": "anitha136/tmdb-box-office-prediction-xg-boost", "kernel_id": "3040729"}, {"ref": "nakayamar/revenue-prediction-with-posters-using-cnn-keras", "kernel_id": "3502279"}, {"ref": "alexandermelde/code-template-for-simple-regression-prediction", "kernel_id": "3356486"}, {"ref": "sintocjose/movie-money", "kernel_id": "3599705"}, {"ref": "petyaracz/movie-revenues-through-the-times-tweaking-viz", "kernel_id": "3033090"}, {"ref": "mittasagar/box-office-prediction", "kernel_id": "3307913"}, {"ref": "sebastienmurphy/mlp-regressor-on-movie-dataset", "kernel_id": "3873132"}, {"ref": "anteran/group-eda", "kernel_id": "3620472"}, {"ref": "wanderdust/lgbm-pytorch-catboost", "kernel_id": "3474594"}, {"ref": "ramballan/world-or-us-revenue-what-we-are-trying-to-predict", "kernel_id": "3068182"}, {"ref": "shitalkat/extracting-info-from-column-type-list-of-dictionry", "kernel_id": "3210013"}, {"ref": "shitalkat/tmdb-box-office-prediction-xg-boost", "kernel_id": "3266851"}, {"ref": "madengr00/pre-process-gradient-boosting-w-residual-plots", "kernel_id": "3213867"}, {"ref": "madengr00/json-flatten-and-factorize-for-ml", "kernel_id": "3128366"}, {"ref": "tavoosi/predicting-box-office-revenue-with-random-forest", "kernel_id": "3915189"}, {"ref": "ikarus777/movies-predictions-boosting", "kernel_id": "3093615"}, {"ref": "ikarus777/exploring-the-movies-database-eda", "kernel_id": "3121709"}, {"ref": "mybenzar/challenge-tmdb", "kernel_id": "3559088"}, {"ref": "oguzkoroglu/tmdb-features-for-catboost-optimization", "kernel_id": "3700614"}, {"ref": "deepu97nagar/box-office", "kernel_id": "3449040"}, {"ref": "adepvenugopal/box-office-prediction-eda", "kernel_id": "3294737"}, {"ref": "mailyousufkhan/feature-engineering-eda-lgb-xgb-cat", "kernel_id": "3234508"}, {"ref": "oluwaody/where-fun-and-finance-meet", "kernel_id": "3368490"}, {"ref": "ostamand/tmdb-with-posters-embeddings-cnn", "kernel_id": "3223999"}, {"ref": "mohganji/box-office-notebook", "kernel_id": "3206556"}, {"ref": "chuckscofirroto/eda-on-boxoffice-with-r", "kernel_id": "3522477"}, {"ref": "floarrd/can-you-predict-a-movie-s-revenue", "kernel_id": "3234065"}, {"ref": "nickrood/prediction-with-lightgbm", "kernel_id": "3920052"}, {"ref": "nickrood/can-star-power-predict-box-office-revenue", "kernel_id": "3810337"}, {"ref": "thakd123/first-kernel", "kernel_id": "3013252"}, {"ref": "venkateshdeepak/box-office-mlp", "kernel_id": "3948664"}, {"ref": "masonblier/box-office-cast-crew-eda", "kernel_id": "3090154"}, {"ref": "vivaroma/simple-neural-network", "kernel_id": "3868655"}, {"ref": "tmkggl/tmdb-box-office", "kernel_id": "3730787"}, {"ref": "xiaochangaga/eda-feature-engineering-and-model-interpre-3ccd3c", "kernel_id": "3941594"}, {"ref": "sjj118/movie-visualization-recommendation-prediction", "kernel_id": "3559790"}, {"ref": "meaoer/kernelc9cf359f7e", "kernel_id": "3329556"}, {"ref": "takedown/tmdb-box-office-revenue-prediction", "kernel_id": "3670564"}, {"ref": "luziatinten/viadee-shipit", "kernel_id": "3345962"}, {"ref": "swarlsbarkley/viadee-ship-it", "kernel_id": "3345960"}, {"ref": "joshnarani/accurate-analysis-of-box-office-predictions", "kernel_id": "3483249"}, {"ref": "akumaldo/tmdb-prediction-eda-lgb-xgb-cat-plus-keras-nn", "kernel_id": "3570749"}, {"ref": "vikshiv/kernel4d6f31b599", "kernel_id": "3710019"}, {"ref": "ivansv/regression-tmdb-box-office-prediction-challenge", "kernel_id": "3656873"}, {"ref": "hichamalpha/tmdb-box-office-prediction", "kernel_id": "3693985"}, {"ref": "hieugaboy199x/khaipha-cuoiky", "kernel_id": "3892559"}, {"ref": "hieugaboy199x/tmdb-khaipha", "kernel_id": "3907991"}, {"ref": "chaojiewang/movie-revenue-xgboost", "kernel_id": "3917115"}, {"ref": "madhow/test-previsions-boxoffice", "kernel_id": "3893631"}, {"ref": "madhow/test-previsions-1-box-office", "kernel_id": "3910394"}, {"ref": "dalmiaujjwal/data-prep-first-prediction-with-random-forest", "kernel_id": "4058046"}, {"ref": "jrichie/random-forest-w-box-office-revenue", "kernel_id": "4217110"}, {"ref": "lvwenlong/neural-network-with-mc-dropout-and-embedding", "kernel_id": "4131879"}, {"ref": "sshadylov/simple-tmdb-pipeline", "kernel_id": "4054454"}, {"ref": "raimohaikari/multivariate-adaptive-regression-splines", "kernel_id": "4119045"}, {"ref": "nightwolfbrooks/movie-revenue-prediction-speed-run", "kernel_id": "4076953"}, {"ref": "leonematias/tmdb-box-office-prediction-keras", "kernel_id": "4002475"}, {"ref": "hadsga/quick-and-dirty-r", "kernel_id": "4023626"}, {"ref": "prnb1011/brute-force-feature-engineering-eda-and-modelling", "kernel_id": "4495531"}, {"ref": "brendanhasz/box-office-revenue-prediction", "kernel_id": "4005850"}, {"ref": "brendanhasz/box-office-prediction-imbd-scores", "kernel_id": "4017668"}, {"ref": "xuruoyao/kernel1ba810cdec", "kernel_id": "4083848"}, {"ref": "shwetagoyal4/predicting-revenue-of-box-office", "kernel_id": "4068244"}, {"ref": "akashdhorajiya/box-office-revenue-prediction", "kernel_id": "4004909"}, {"ref": "ashishchauhan009/tmdb-feature-engineering-and-predict", "kernel_id": "4765668"}, {"ref": "corvuslee/data-preparation-flatten-a-nested-data-structure", "kernel_id": "4291988"}, {"ref": "mzlikesb/0602-tmdb-prediction", "kernel_id": "4032130"}, {"ref": "heeral/kerneld2a4bf6034", "kernel_id": "4013381"}, {"ref": "palpiyali1998/kernel6b262c9ede", "kernel_id": "4003189"}, {"ref": "honglou/kernel3b7653cf77", "kernel_id": "4360227"}, {"ref": "honglou/kerneleb070da1cb", "kernel_id": "4323141"}, {"ref": "honglou/kernel5df7c2ac5a", "kernel_id": "4350421"}, {"ref": "honglou/kernel99e9b88c22", "kernel_id": "4080992"}, {"ref": "honglou/kernel916a44f51c", "kernel_id": "4029492"}, {"ref": "honglou/kernel888e2dec7f", "kernel_id": "4246081"}, {"ref": "nickrood/prediction-with-xgboost", "kernel_id": "4068918"}, {"ref": "sourabh24293/movie-budget-prediction", "kernel_id": "4003396"}, {"ref": "brekope/predict-movie-revenue", "kernel_id": "4301727"}, {"ref": "maheep27/tmdb-regressor", "kernel_id": "4101455"}, {"ref": "claurin1/starter-jsontodummies-enetvsmars", "kernel_id": "4063686"}, {"ref": "claurin1/tmdb-starter-kernel-mars-and-elastic-net", "kernel_id": "4074618"}, {"ref": "suneelpatel/movie-s-box-office-revenue-prediction", "kernel_id": "4989138"}, {"ref": "chmaxx/train-12-regressors-with-just-one-line-of-code", "kernel_id": "5945787"}, {"ref": "eladdv/elad-tmdb", "kernel_id": "5382637"}, {"ref": "eladdv/tmdb-starting-notebook", "kernel_id": "5917290"}, {"ref": "ashishbt08b004/tmdb-feature-creation", "kernel_id": "5624627"}, {"ref": "daslef/tmdb-eda-2019-sep", "kernel_id": "5993673"}, {"ref": "daslef/tmdb-eda-2019-august", "kernel_id": "5509149"}, {"ref": "aditya100/tmdb-box-office", "kernel_id": "5589516"}, {"ref": "elijahlawson/movie-kernel-eda-practices", "kernel_id": "5208784"}, {"ref": "raval64/tmdb-box-office-pred", "kernel_id": "5855366"}, {"ref": "karanchhabra99/eda-tmdb-box-office-prediction", "kernel_id": "6884289"}, {"ref": "chmaxx/train-12-classifiers-with-one-line-of-code", "kernel_id": "6077992"}, {"ref": "romany/tmdb-roman", "kernel_id": "6607133"}, {"ref": "texasroh/feature-engineering-eda", "kernel_id": "6865144"}, {"ref": "levkap/tmdb-lev-s-notebook", "kernel_id": "6607128"}, {"ref": "manelab/tmdb-binyamin", "kernel_id": "6607123"}, {"ref": "liamkoh/movie-revenue-prediction", "kernel_id": "6474220"}, {"ref": "jsvishnuj/movie-revenue-prediction", "kernel_id": "6224896"}, {"ref": "yasirhoque/movie-revenue-prediction", "kernel_id": "6278399"}, {"ref": "liorsasson/tmdb-lior", "kernel_id": "6607139"}, {"ref": "singhrk/movie-revenue-prediction-using-fastai", "kernel_id": "6660721"}, {"ref": "patriccia/kernel45e22af926", "kernel_id": "6074289"}, {"ref": "asafshaul/tmdb-starting-notebook-asaf", "kernel_id": "6607156"}, {"ref": "kiteau/kernel4484fb2153", "kernel_id": "6588066"}, {"ref": "pavlovivan/ds-75", "kernel_id": "6836441"}, {"ref": "jagannathrk/boxoffice-prediction-lgb-xgb-cat", "kernel_id": "7005027"}, {"ref": "nhihong/kernel-nhi", "kernel_id": "7049349"}, {"ref": "ggarciacastany/the-movie-database", "kernel_id": "7029179"}, {"ref": "carolyiyang/waldodata", "kernel_id": "7859916"}, {"ref": "lanwang91/kernel4454c29c20", "kernel_id": "7859664"}, {"ref": "josephahking/waldodatamaster", "kernel_id": "7859676"}, {"ref": "esesry/waldodataelias", "kernel_id": "7873054"}, {"ref": "esesry/waldodata", "kernel_id": "7860046"}, {"ref": "aortizavila/mdb-box-office-prediction-aoa-mov", "kernel_id": "8395820"}, {"ref": "yukomiya/tmdb-komiya-preprocess", "kernel_id": "9838893"}, {"ref": "yukomiya/tmbd-ko-na-ki-200605", "kernel_id": "9920947"}, {"ref": "yukomiya/tmdb-seraku-linearmodel", "kernel_id": "9899976"}, {"ref": "yukomiya/tmbd-ko-na-ki-200608", "kernel_id": "9982660"}, {"ref": "aneeshkulkarni98/exploratory-data-analysis", "kernel_id": "9662235"}, {"ref": "gcspkmdr/movies-revenue-prediction", "kernel_id": "9453351"}, {"ref": "jjoonhk92/tmdb-jhk-preprocessing", "kernel_id": "9863061"}, {"ref": "jjoonhk92/tmbd-ko-na-ki-200604", "kernel_id": "9900708"}, {"ref": "daku5768/tmdb-box-office-prediction-beginner-approach", "kernel_id": "9943026"}, {"ref": "jyawooo/kernel3ef8161418", "kernel_id": "9113052"}, {"ref": "marveloper/boxofficeprediction", "kernel_id": "9985553"}, {"ref": "parkbumsu/tbdm-analytics", "kernel_id": "9987199"}, {"ref": "alessiomartello/tmdb-box-office-prediction", "kernel_id": "9800835"}, {"ref": "deepesh87/object-oriented-analysis-prediction-for-starters", "kernel_id": "10970876"}, {"ref": "yukomiya/tmbd-ko-na-ki-200611", "kernel_id": "10046559"}, {"ref": "dahouda/tmdb-box-predictions-with-simple-lr-and-keras", "kernel_id": "10216751"}, {"ref": "davidkt2/tmdb-revenue-eda-and-model-fitting-caret", "kernel_id": "10943695"}, {"ref": "jjoonhk92/tmdb-jhk-ver3", "kernel_id": "10131189"}, {"ref": "jjoonhk92/tmdb-jhk-200610-vis", "kernel_id": "10050584"}, {"ref": "jjoonhk92/jhk-for-modeling2", "kernel_id": "10050711"}, {"ref": "jjoonhk92/jhk-for-modeling", "kernel_id": "10061622"}, {"ref": "natalia1312/preparing-dataset-for-model-input-using-r", "kernel_id": "10675488"}, {"ref": "brendanchan/kernel51136f5c26", "kernel_id": "10903694"}, {"ref": "shubhamk101/tmdb-box-office-data-analysis", "kernel_id": "10122380"}, {"ref": "ginamkee/eda-and-preprocessing-for-box-office", "kernel_id": "10150820"}, {"ref": "utkarshakathayat/tmdb-box-office-eda-and-linear-regression", "kernel_id": "10029883"}, {"ref": "velvetexodus/feature-selection-with-tmdb-data", "kernel_id": "10690371"}, {"ref": "qroshi/life-is-like-a-box-of-chocolates", "kernel_id": "10941149"}, {"ref": "prateep03/eda-feature-engineering-and-model-interpretation", "kernel_id": "11105233"}, {"ref": "usamabinshakeel/movie-revenue-prediction", "kernel_id": "11290801"}, {"ref": "themlphdstudent/box-office-revenue-analysis-and-visualization", "kernel_id": "11206211"}, {"ref": "dipankarsrirag/decisiontree-tmdb", "kernel_id": "11821257"}, {"ref": "kaushikbvk/tmdb-eda-predictions", "kernel_id": "12167868"}, {"ref": "nehalbandal/tmdb-revenue-prediction-eda-ml-pipeline", "kernel_id": "12180158"}, {"ref": "vaishnavkapil/kapil-vaishnav-box-office-prediction", "kernel_id": "12025401"}, {"ref": "zimulyu/tmdb-box-office-pred", "kernel_id": "12684694"}, {"ref": "mayanklad/tmdb-box-office-prediction", "kernel_id": "12421640"}, {"ref": "kickitlikeshika/advanced-eda-feature-engineering", "kernel_id": "13565203"}, {"ref": "tatsuyayamamoto/tmdb-xgb", "kernel_id": "13208454"}, {"ref": "fominyhps/notebooke3c0acdbcf", "kernel_id": "13811365"}, {"ref": "sherli/tmdb-boxoffice-revenue-prediction", "kernel_id": "14429319"}, {"ref": "ollibolli/box-office-regression", "kernel_id": "14803019"}, {"ref": "jurk06/box-office-prediction-using-linear-regression", "kernel_id": "14495614"}, {"ref": "omarbhular/tmdb-eda-cross-validation", "kernel_id": "14039098"}, {"ref": "nikosraftogiannis/movie-revenue-evaluator", "kernel_id": "14837978"}, {"ref": "pejepej/tmdb-rf", "kernel_id": "14121818"}, {"ref": "baehyunchul/tmdb-box-office-prediction-by-trajanus", "kernel_id": "14032995"}, {"ref": "tillmandegens/movie-prediction-project", "kernel_id": "15100748"}, {"ref": "adamyanayyar/advanced-features-h2o-automl-xgb-models", "kernel_id": "15935410"}, {"ref": "hoangdang89/ticket-box-prediction", "kernel_id": "15811928"}, {"ref": "salehin321/tmdb-movie-feature-engineering", "kernel_id": "16943474"}, {"ref": "edith2021/feature-engineering-and-eda-on-data-set-form", "kernel_id": "16341805"}, {"ref": "trusovsv/ml-predictions-films2", "kernel_id": "16046517"}, {"ref": "gopalbhattrai/tmdb-box-prediction", "kernel_id": "16129453"}, {"ref": "harshvr15/datawrang-eda-models-lr-rf-xgb-lgb-gridsearch", "kernel_id": "17187399"}, {"ref": "ashishkapasiya/basic-eda-of-movie-reccommendation", "kernel_id": "19844883"}, {"ref": "anurag2405/tmdb-eda-feature-engineering-lr-rfr-xgb", "kernel_id": "19359157"}, {"ref": "karansehgal13/random-forest-regressor-for-tmdb-b-o-prediction", "kernel_id": "20274612"}, {"ref": "pedroyvesfracari/workshop", "kernel_id": "22514587"}, {"ref": "aschittko/movie-revenue-prediction", "kernel_id": "22413330"}, {"ref": "kunbo26/tmdb-dataset", "kernel_id": "23932106"}, {"ref": "vuongdx/eda-feature-engineering-and-model-interpretation", "kernel_id": "23770398"}, {"ref": "vuongdx/new-ai-0608ee", "kernel_id": "23947580"}, {"ref": "duytannguyen/new-aiabc", "kernel_id": "23928092"}, {"ref": "duytannguyen/new-ai", "kernel_id": "23956870"}, {"ref": "xusingle/ama565project-gota", "kernel_id": "25140425"}, {"ref": "bernabas/eda-random-forest-xgboost-tmdb-box-office", "kernel_id": "25437185"}, {"ref": "dkurbatovv/tmdb-box-office-prediction-rmsle-2-8", "kernel_id": "25755775"}, {"ref": "hengwdai/mercariprice-150-efficiency-h2o", "kernel_id": "26909325"}, {"ref": "hengwdai/tmdbboxoffice-300-efficiency-h2o", "kernel_id": "26907672"}, {"ref": "hengwdai/tmdbboxoffice-300-efficiency-auto3ml", "kernel_id": "26907256"}, {"ref": "hengwdai/tmdbboxoffice-300-efficiency-autogluon", "kernel_id": "26907404"}, {"ref": "alpayariyak/tmdbteam8-2", "kernel_id": "26771661"}, {"ref": "alpayariyak/cs4342-final-project-team-8", "kernel_id": "26781785"}, {"ref": "ssauer/tmdb-xgboost-tidymodels", "kernel_id": "27029085"}, {"ref": "ssauer/simple-rf-tuned", "kernel_id": "27039030"}, {"ref": "ssauer/tmdb-simple-regression-beginners", "kernel_id": "27004207"}, {"ref": "jknrrds/notebook739c9d0301", "kernel_id": "27029166"}, {"ref": "dhainiksuthar/movie-box-office-prediction", "kernel_id": "28335435"}, {"ref": "babaisright/movie-box-office-prediction", "kernel_id": "29028060"}, {"ref": "yagli18/tmdb-box-office-prediction", "kernel_id": "29864744"}, {"ref": "mohamedalisalama/tmdb-box-office-prediction", "kernel_id": "29894921"}, {"ref": "jrgentoppenmoen/project-2-box-office", "kernel_id": "31929931"}, {"ref": "markuspedersen/box-office", "kernel_id": "32197584"}, {"ref": "keishasahni24/tmdb-revenue-prediction", "kernel_id": "37380961"}, {"ref": "mnphmngc/movie-revenue", "kernel_id": "38892595"}, {"ref": "aski1140/tmdb-data-science-works", "kernel_id": "39098613"}, {"ref": "yazeedalsahouri03/tmdb-box-office-prediction", "kernel_id": "40293531"}, {"ref": "susanne602114/notebook-assignment2", "kernel_id": "45165965"}, {"ref": "aidenshanks/csci4502-eda", "kernel_id": "47683684"}, {"ref": "tingchuntat/notebook5ece2aac92", "kernel_id": "47701209"}, {"ref": "radturkin/box-office-prediction", "kernel_id": "55223892"}, {"ref": "brahimy/box-office-prediction", "kernel_id": "58889991"}, {"ref": "nadiakachurynets/tmdb-randomforestregression", "kernel_id": "66588843"}, {"ref": "metinhsimimi/tmdb-prediction-eda-and-modelingg", "kernel_id": "66126111"}, {"ref": "yatkiuwong/kaggle-competition", "kernel_id": "70699483"}, {"ref": "zyh1104/028-tmdb-box-office-prediction", "kernel_id": "71513521"}, {"ref": "zo2004/tmdb-box-office-prediction", "kernel_id": "72081887"}, {"ref": "soiaris11/notebookcbbd0b02f7", "kernel_id": "73097816"}, {"ref": "adityapatil484/tmdb-box-office-prediction-notebook", "kernel_id": "75552916"}, {"ref": "pankaj3811/fork-of-box-office-revenue-analysis-and-visualizat", "kernel_id": "78023380"}, {"ref": "egorpogrebnov/feature-engineering-lgb-xgb-cat-spbu", "kernel_id": "83909560"}, {"ref": "tomatoesss/notebook1968d670c9", "kernel_id": "86386768"}, {"ref": "nakatsukakaito/notebook9028c0e61b", "kernel_id": "86386832"}, {"ref": "yh0110/notebookf8af0f289b", "kernel_id": "86388379"}, {"ref": "hojoryoki/notebookdf5369eb1e", "kernel_id": "86217383"}, {"ref": "omori315/notebook05e8e96614", "kernel_id": "86386913"}, {"ref": "archfu/notebook95778def47", "kernel_id": "87838355"}, {"ref": "omori315/notebook304dd02023", "kernel_id": "87337370"}, {"ref": "chrangaswamyreddy/tmdb-box-office-prediction", "kernel_id": "94802653"}, {"ref": "ahmed1abd1elaal/movie-revenue-prediction-data-cleaning-regression", "kernel_id": "94021524"}, {"ref": "greatmunte/mount", "kernel_id": "103404534"}, {"ref": "avikdas567/eda-and-visualization-of-tmdb-box-office-data", "kernel_id": "114270012"}]}
{"competition_id": "10306", "kernels": [{"ref": "govindapetrum/breast-cancer-prediction", "kernel_id": "20593160"}]}
{"competition_id": "10308", "kernels": []}
{"competition_id": "10335", "kernels": [{"ref": "sagarkhashu0/training-playground", "kernel_id": "1999165"}, {"ref": "brianheredia/pubg-eda", "kernel_id": "1887173"}, {"ref": "albertoimpl/pubg-submittable-random-forest", "kernel_id": "1989343"}, {"ref": "mathan/the-game-factors-that-matter-interesting-to-see", "kernel_id": "1823190"}, {"ref": "jagratkhandelwal/exploration", "kernel_id": "1951372"}, {"ref": "jagratkhandelwal/first-kernel", "kernel_id": "1919196"}, {"ref": "pschale/treating-winplaceperc-as-a-categorical-variable", "kernel_id": "1982139"}, {"ref": "thoolihan/exploring-pubg-data", "kernel_id": "1823822"}, {"ref": "abhishek4u/exploration-model-explanation-i", "kernel_id": "1828720"}, {"ref": "toshinoue/the-leak", "kernel_id": "1901677"}, {"ref": "tanmaydisoriya/pubgpred-2-0", "kernel_id": "1894628"}, {"ref": "andreymarkov/pubg-lgbm-v2", "kernel_id": "1932790"}, {"ref": "abhiksark/ingredients-for-chicken-dinner", "kernel_id": "1914226"}, {"ref": "bhavesh09/how-to-win-chicken-dinner", "kernel_id": "1838210"}, {"ref": "jmstevens/pubg-data-exploration", "kernel_id": "1823626"}, {"ref": "fvendrameto/catboost-by-a-newbie", "kernel_id": "1797883"}, {"ref": "artgor/basic-eda", "kernel_id": "1799447"}, {"ref": "navuhodonosor/my-xgboost-training", "kernel_id": "1876774"}, {"ref": "laurentcoach/pubg-pca-features-selection", "kernel_id": "1830832"}, {"ref": "akshaysiras/pubg-prediction", "kernel_id": "1993653"}, {"ref": "pecooper/winner-winner-chicken-dinner-benchmark", "kernel_id": "1801999"}, {"ref": "pecooper/r-keras-dinner", "kernel_id": "1957227"}, {"ref": "pecooper/leaky-chicken-dinner", "kernel_id": "1894117"}, {"ref": "ashishsinhaiitr/pubg-an-extensive-eda", "kernel_id": "1827479"}, {"ref": "ullsokk/pubg-determining-the-game-modes-of-each-match", "kernel_id": "1828922"}, {"ref": "sandeepkumar121995/pubg-lgb-baseline-lb-0-0349", "kernel_id": "1905941"}, {"ref": "banivyom/eda-and-lightgbm", "kernel_id": "1925669"}, {"ref": "suttergustavo/simple-xgboost-baseline", "kernel_id": "1797694"}, {"ref": "even311379/pubg-keras-mlp", "kernel_id": "1827090"}, {"ref": "phiztee/mlp-using-tensorflow", "kernel_id": "1861115"}, {"ref": "hyperc/pubg-eda-w-interactive-graphs-regression", "kernel_id": "1928452"}, {"ref": "ananthreddy/simple-model-using-keras", "kernel_id": "1837074"}, {"ref": "nicapotato/playerunknown-s-ai", "kernel_id": "1821308"}, {"ref": "taborate/pubg-data-analysis-and-visualization", "kernel_id": "1842681"}, {"ref": "vedchirag/eda-pubg", "kernel_id": "1943554"}, {"ref": "robroseknows/pubg-clustering-exploration", "kernel_id": "1911942"}, {"ref": "zeal626/10k-samples-baseline-rf", "kernel_id": "1897132"}, {"ref": "jingqliu/first-draft-py", "kernel_id": "1827040"}, {"ref": "cjlarson/pubg-dataset-analysis", "kernel_id": "1836131"}, {"ref": "sayangoswami/chicken-dinner", "kernel_id": "1823241"}, {"ref": "rejasupotaro/cheaters-and-zombies", "kernel_id": "1813922"}, {"ref": "rejasupotaro/effective-feature-engineering", "kernel_id": "1869348"}, {"ref": "ramkish/ramki-pubg-competition", "kernel_id": "1859666"}, {"ref": "akashdeepjassal/pubg-chicken-dinner-starter", "kernel_id": "1797435"}, {"ref": "sorashido/pubg-simple-lightgbm", "kernel_id": "1798611"}, {"ref": "mm5631/ml-workflow-data-science-approach", "kernel_id": "1895652"}, {"ref": "shahules/feature-engineering-and-model-stacking", "kernel_id": "1813761"}, {"ref": "bishnumurmu/walk-distance-and-boosts-matters-more-then-kills", "kernel_id": "1823629"}, {"ref": "jacksonisaac/winner-winner-chickie-dinner", "kernel_id": "1870789"}, {"ref": "srbhshinde/pubg-match-stats", "kernel_id": "1846989"}, {"ref": "tanumoynandy/from-experience-intuition", "kernel_id": "1935657"}, {"ref": "mathfour/pubg-linear-reg-on-5-features-rf", "kernel_id": "1930044"}, {"ref": "mathfour/pubg-lr-on-5-features", "kernel_id": "1929986"}, {"ref": "mathfour/pubg-prediction-with-one-feature", "kernel_id": "1929805"}, {"ref": "mathfour/pubg-prediction-with-three-features", "kernel_id": "1929918"}, {"ref": "konohayui/a-guide-to-win-the-chicken-dinner", "kernel_id": "1823505"}, {"ref": "aparida/ingredients-for-chicken-dinner", "kernel_id": "1874497"}, {"ref": "datark1/pubg-detailed-eda-top-10-players-and-xgb-model", "kernel_id": "1823674"}, {"ref": "kanji10494/simple-mlp-regressor-using-pytorch", "kernel_id": "1849304"}, {"ref": "jerryllllll/eda-of-pubg-data-how-to-win", "kernel_id": "1820045"}, {"ref": "sidjhanji/pubg-kill-them-all", "kernel_id": "1799815"}, {"ref": "michaelapers/pubg-starter-notebook", "kernel_id": "1797356"}, {"ref": "amoatasem/playernowknown-s-battlegrounds", "kernel_id": "1824078"}, {"ref": "hitman007/pubg-analytics", "kernel_id": "1835491"}, {"ref": "docxian/explore-variable-impact-on-target", "kernel_id": "1807697"}, {"ref": "lizhenyun/20181025-sub", "kernel_id": "1949127"}, {"ref": "lizhenyun/test20181025-v2", "kernel_id": "1948751"}, {"ref": "gravitymhxy2/how-to-be-the-best-player-in-pubggggggg", "kernel_id": "1818807"}, {"ref": "kpriyanshu256/pubg-winner", "kernel_id": "1887302"}, {"ref": "tarunpaparaju/pubg-placement-prediction-with-bagging-and-ranking", "kernel_id": "1838583"}, {"ref": "tarunpaparaju/pubg-placement-predictor-catboost-v2", "kernel_id": "1858755"}, {"ref": "tarunpaparaju/pubg-placement-prediction-catboost-regression", "kernel_id": "1862266"}, {"ref": "tarunpaparaju/pubg-placement-prediction-catboost-regression-v2", "kernel_id": "1890420"}, {"ref": "tarunpaparaju/pubg-placement-prediction-nn-regression-v2", "kernel_id": "1894215"}, {"ref": "tarunpaparaju/pubg-placement-prediction-nn-regression", "kernel_id": "1893870"}, {"ref": "tarunpaparaju/pubg-placement-prediction-nn-regression-v3", "kernel_id": "1908270"}, {"ref": "tarunpaparaju/pubg-placement-predictor-catboost-regression-v3", "kernel_id": "1914614"}, {"ref": "tarunpaparaju/pubg-placement-predictor-with-dnns-v2", "kernel_id": "1812520"}, {"ref": "tarunpaparaju/pubg-random-placement-predictor", "kernel_id": "1813797"}, {"ref": "tarunpaparaju/pubg-placement-predictor-catboost", "kernel_id": "1814080"}, {"ref": "tarunpaparaju/pubg-placement-predictor-random-forest-regressor", "kernel_id": "1813497"}, {"ref": "tarunpaparaju/pubg-placement-predictor-adaboost", "kernel_id": "1818151"}, {"ref": "tarunpaparaju/pubg-placement-predictor-dnns-and-random-forests", "kernel_id": "1806159"}, {"ref": "nikhil04/pubg-data-description-a-to-z-fe-with-python", "kernel_id": "1874012"}, {"ref": "roelvisser/chicken-dinner-in-the-random-forest", "kernel_id": "1830417"}, {"ref": "rishpande/pubg-data-analysis", "kernel_id": "1841303"}, {"ref": "loganwang/optimizing-numerical-columns-preprocessing", "kernel_id": "1838417"}, {"ref": "bashamsc/prediction-using-lda", "kernel_id": "1913774"}, {"ref": "emilwest/baseline-linear-model", "kernel_id": "1825924"}, {"ref": "gursky1/stacked-model-non-cv", "kernel_id": "1828176"}, {"ref": "gursky1/grouped-data-catboost-model", "kernel_id": "1844932"}, {"ref": "gursky1/lgbm-with-clipping-and-grouped-ranking", "kernel_id": "1806176"}, {"ref": "learningftf/quick-pubg", "kernel_id": "1987200"}, {"ref": "drpeolo/main-pol-2", "kernel_id": "1929522"}, {"ref": "plasticgrammer/pubg-finish-placement-prediction-playground", "kernel_id": "1970844"}, {"ref": "beckhz/pubg-compitition", "kernel_id": "1862718"}, {"ref": "justforgags/pubg-predictions", "kernel_id": "1830737"}, {"ref": "justforgags/chicken-dinner-2-manas", "kernel_id": "1936561"}, {"ref": "huzefalw/pubg-position-prediction-xgboost", "kernel_id": "1959188"}, {"ref": "pavelvpster/pubg-random-forest-baseline", "kernel_id": "1861245"}, {"ref": "maxisawesome/pubg-placement-model-w-keras", "kernel_id": "1927508"}, {"ref": "uds5501/data-verification-and-prediction", "kernel_id": "1900149"}, {"ref": "sachinjchorge/pubg-neural-networks", "kernel_id": "1957460"}, {"ref": "sachinjchorge/pubg-linear-regression", "kernel_id": "1838611"}, {"ref": "sachinjchorge/pubg-light-gbm", "kernel_id": "1978076"}, {"ref": "sachinjchorge/fork-of-pubg-neural-networks-part-2", "kernel_id": "1977272"}, {"ref": "chiranjeevbit/learn-ml-linear-regression-lgb-and-xgb-basics", "kernel_id": "1808020"}, {"ref": "martchellop/first-run-with-xgboost", "kernel_id": "1835592"}, {"ref": "srcecde/simple-eda-xgboost", "kernel_id": "1820380"}, {"ref": "srcecde/model-stacking-blending", "kernel_id": "1933334"}, {"ref": "parmarsuraj99/pubg-pubg-finish-placement-prediction-test", "kernel_id": "1832062"}, {"ref": "nathanbruzat/pubg-prediction-groupby-matchtype", "kernel_id": "1995714"}, {"ref": "kunalvats/pubg-analysis", "kernel_id": "1835209"}, {"ref": "danielmartinezb/pubg-eda-by-player-group-and-match", "kernel_id": "1816840"}, {"ref": "ravi2512/pubg-finish-placement-prediction", "kernel_id": "1897215"}, {"ref": "ravi2512/pubg-model-catboost", "kernel_id": "1868462"}, {"ref": "ravi2512/pubg-nn-second", "kernel_id": "1870687"}, {"ref": "lawngaiyan/eda-pubg-yluo-part-1", "kernel_id": "1923421"}, {"ref": "dnik007/fork-of-chicken-dinner-lgbmregression", "kernel_id": "1855886"}, {"ref": "overload10/pubg-predicting-chicken-dinner", "kernel_id": "1855564"}, {"ref": "ottpeterr/winner-winner-machine-learning-dinner-xgboost", "kernel_id": "1826500"}, {"ref": "drsenri/randomforest-baseline", "kernel_id": "1976338"}, {"ref": "royalbhati/eda-and-modelling", "kernel_id": "1811563"}, {"ref": "boomberung/first-try", "kernel_id": "1856617"}, {"ref": "varunsharmaml/pubg-finish-placement-prediction", "kernel_id": "1812681"}, {"ref": "ramzerker1695/kernel7da9629b4a", "kernel_id": "1917767"}, {"ref": "mlisovyi/eda-team-strategy-guide", "kernel_id": "1810129"}, {"ref": "mlisovyi/relativerank-of-predictions", "kernel_id": "1801952"}, {"ref": "mlisovyi/pubg-survivor-kit", "kernel_id": "1799497"}, {"ref": "piyushmishra1999/pubg-exploratory-data-analysis", "kernel_id": "1855879"}, {"ref": "cloudchng/pubg-catboost", "kernel_id": "1844716"}, {"ref": "robert76/lgbm-chicken-dinner", "kernel_id": "1828205"}, {"ref": "rgwegwegwe/harold-and-kumar", "kernel_id": "1827412"}, {"ref": "rgwegwegwe/harold-and-kumar-v2", "kernel_id": "1836187"}, {"ref": "mak4alex/pubg-placement-prediction", "kernel_id": "1842835"}, {"ref": "chocozzz/how-to-save-time-and-memory-with-big-datasets", "kernel_id": "1860280"}, {"ref": "chocozzz/updated-what-is-difference-before-data", "kernel_id": "1904389"}, {"ref": "chocozzz/lightgbm-baseline", "kernel_id": "1938374"}, {"ref": "chocozzz/pubg-data-description-a-to-z-fe-with-python", "kernel_id": "1802784"}, {"ref": "dhavaltaunk/xgboost-wins-pubg", "kernel_id": "1879102"}, {"ref": "dhavaltaunk/pubg-win-by-neural-networks", "kernel_id": "1882441"}, {"ref": "dhavaltaunk/randomforest-and-pubg", "kernel_id": "1867830"}, {"ref": "kunal17/pubg-winner-prediction", "kernel_id": "1807893"}, {"ref": "gengjia/pubg-final", "kernel_id": "1877451"}, {"ref": "theclassypenguinip/eda-for-v1-data-including-player-mode-deduction", "kernel_id": "1829929"}, {"ref": "ymatioun/pubg-multiple-pass-lightgbm-ranks", "kernel_id": "1961785"}, {"ref": "raahat98/basic-eda-and-insights-into-playing-pubg", "kernel_id": "1842580"}, {"ref": "harshitsheoran/mlp-and-fe", "kernel_id": "1996289"}, {"ref": "simonandersen/pubg-linear-regression", "kernel_id": "1824727"}, {"ref": "ccdxfchl/which-mode-we-in-playground-of-playground", "kernel_id": "1829449"}, {"ref": "asapra/kernel0e585008ab", "kernel_id": "1957415"}, {"ref": "sillvanus/pca-attempt", "kernel_id": "1888215"}, {"ref": "deltanullnull/neural-chicken-dinner-network", "kernel_id": "1826829"}, {"ref": "chenbuntu/pubg-with-dnn", "kernel_id": "1838168"}, {"ref": "gyfastas/hw1-pubgprediction", "kernel_id": "1899314"}, {"ref": "viniciusbbizarri/winner-winner-machine-dinner", "kernel_id": "1827160"}, {"ref": "tsukasakita/looking-into-the-train-data", "kernel_id": "1906793"}, {"ref": "jaysn1/simple-xgboost", "kernel_id": "1838431"}, {"ref": "kasmithh/baseline-pubg-competition-model", "kernel_id": "1888256"}, {"ref": "kasmithh/pubg-eda", "kernel_id": "1850344"}, {"ref": "takanobu0210/pubg-eda-lightgbm", "kernel_id": "1905419"}, {"ref": "afgonczol/feat-engineering-player-insights", "kernel_id": "1857252"}, {"ref": "afgonczol/pubg-group-level-match-stats", "kernel_id": "1851583"}, {"ref": "carlolepelaars/pubg-data-exploration-rf-funny-gifs", "kernel_id": "1887569"}, {"ref": "ankurcricket109/kernel4b79d72062", "kernel_id": "1848924"}, {"ref": "tandonarpit6/pubg-game-winner-predictions", "kernel_id": "1874164"}, {"ref": "xiaoazuzong/ridge", "kernel_id": "1801997"}, {"ref": "maxrodkin/kernel7cb1517cc6", "kernel_id": "1932067"}, {"ref": "vaibhavjain891/pubg-linear-regression-model-new", "kernel_id": "1933242"}, {"ref": "vaibhavjain891/pubg-prediction-linear-regression", "kernel_id": "1821309"}, {"ref": "corvuslee/pubg-random-forest-practice-baseline", "kernel_id": "1925080"}, {"ref": "hakkoma/bible-for-chicken-winner-updated-10-10-18", "kernel_id": "1838649"}, {"ref": "snakayama/pubg-finish-placement-prediction-nn", "kernel_id": "1878181"}, {"ref": "khemankar/pubg-final-code", "kernel_id": "1850798"}, {"ref": "taeyoukim/pubg-regression-model", "kernel_id": "1935606"}, {"ref": "santhoshbala18/dinner", "kernel_id": "1894042"}, {"ref": "dangvinh/first-trial-with-gradient-boosting-for-raw-data", "kernel_id": "1955030"}, {"ref": "wallgren/pubg-prediction-using-xgboost", "kernel_id": "1819779"}, {"ref": "theoviel/pubg-eda-feature-engineering-0-0243-top-5", "kernel_id": "1901449"}, {"ref": "amoeba3215/keras-nn-mlp", "kernel_id": "1828818"}, {"ref": "modmari/deep-neural-network-predicting-pubg-winners", "kernel_id": "1922433"}, {"ref": "modmari/how-to-score-0-0255-0-0245-top-10-score", "kernel_id": "1916350"}, {"ref": "zhy450324080/comprehensive-eda-baseline-model", "kernel_id": "1799677"}, {"ref": "bhasha4995dushara/pubg-placement-prediction", "kernel_id": "1854334"}, {"ref": "bigkirill/pubg-prediction", "kernel_id": "1865184"}, {"ref": "louis030195/pubg-placement", "kernel_id": "1848935"}, {"ref": "o7ronak7/how-to-save-time-and-memory-with-big-datasets", "kernel_id": "1984324"}, {"ref": "ahmedsaad154/neural-network", "kernel_id": "1879599"}, {"ref": "ahmedsaad154/randomforestreg", "kernel_id": "1879308"}, {"ref": "ashutoshdutt/newbie-pubgplacement", "kernel_id": "1844931"}, {"ref": "abubakradam/pubg-starter-notebook", "kernel_id": "1824576"}, {"ref": "startliuhao/simple-nn-baseline-4", "kernel_id": "1984828"}, {"ref": "liaobowen/pubg-finish-predict", "kernel_id": "1817443"}, {"ref": "loxaaa/pubg-predictions", "kernel_id": "1898952"}, {"ref": "lhideki/pubg-finish-placement-prediction", "kernel_id": "1867754"}, {"ref": "abhishek3100/pubg-finish", "kernel_id": "1833614"}, {"ref": "itstaredback/pubg-mlpregressor", "kernel_id": "1827190"}, {"ref": "fasihjaved/data-analysis-pubg", "kernel_id": "1843640"}, {"ref": "caseyworks/minecraft-hunger-games-ftw", "kernel_id": "1870233"}, {"ref": "chenmo0217/first-time", "kernel_id": "1828457"}, {"ref": "nilsfed/pubg-dataexploration", "kernel_id": "1799870"}, {"ref": "zhongzisen/kernelf7bacfbf00", "kernel_id": "1993156"}, {"ref": "shashanksagarjha/pugb-xgboost", "kernel_id": "1914151"}, {"ref": "billiummoto/baseline-lightgbm", "kernel_id": "1996588"}, {"ref": "alqamahjsr/pubg-data-description-a-to-z-fe-with-python", "kernel_id": "1864402"}, {"ref": "rakeshea/pubg-data", "kernel_id": "1857317"}, {"ref": "bassjo/training-of-the-nnerds", "kernel_id": "1991333"}, {"ref": "anycode/simple-nn-baseline", "kernel_id": "1819315"}, {"ref": "anycode/simple-nn-baseline-4", "kernel_id": "1932623"}, {"ref": "anycode/simple-nn-baseline-5-resnet", "kernel_id": "1966200"}, {"ref": "anycode/simple-nn-baseline-2", "kernel_id": "1860763"}, {"ref": "anycode/simple-nn-baseline-3", "kernel_id": "1873570"}, {"ref": "mapharazzo/fork-of-kernelf1a1176982", "kernel_id": "1850825"}, {"ref": "mapharazzo/kernelf1a1176982", "kernel_id": "1843295"}, {"ref": "meetnandu05/pubg-problem-using-linear-regression-and-analysis", "kernel_id": "1944296"}, {"ref": "tienham/pubg-train", "kernel_id": "1923502"}, {"ref": "muratalagoz/pubgy-winer", "kernel_id": "1810388"}, {"ref": "alesandrus/constaant-prediction-loco", "kernel_id": "1921141"}, {"ref": "deffro/eda-is-fun", "kernel_id": "1816072"}, {"ref": "jahirmorenoa/chicken-dinner-predictions-decision-tree-regressor", "kernel_id": "1826413"}, {"ref": "eduardok/submit-test2", "kernel_id": "1861374"}, {"ref": "camsmith1992/pubg-data-visualization-prediction", "kernel_id": "1841372"}, {"ref": "marioxx/titanic-prediction", "kernel_id": "1887154"}, {"ref": "miknoo/kernelb3420ed6b0", "kernel_id": "1893967"}, {"ref": "bengwalt/pubg-exploration-and-lightgbm", "kernel_id": "1954598"}, {"ref": "pegasis0/pubg-perdict-randomforest", "kernel_id": "1969567"}, {"ref": "wdnam1066/comp-woodo-draft-20181031", "kernel_id": "1965500"}, {"ref": "ceshine/fork-of-pytorch-baseline-model-no-scheduler", "kernel_id": "2099386"}, {"ref": "ceshine/a-simple-post-processing-trick-lb-0237-0204", "kernel_id": "2022661"}, {"ref": "ceshine/pubg-pytorch-model-feature-importance", "kernel_id": "2021573"}, {"ref": "ceshine/pytorch-baseline-model", "kernel_id": "2021655"}, {"ref": "ceshine/winners-that-don-t-move", "kernel_id": "2015623"}, {"ref": "syleeie/pubg-eda-findings-model-and-tricks-0-453876", "kernel_id": "2142194"}, {"ref": "arunsankar/key-insights-from-pubg-data", "kernel_id": "2010858"}, {"ref": "arunsankar/learning-ml-algorithms-with-pubg-data", "kernel_id": "2272002"}, {"ref": "subversive/kolmogorov-smirnov-test-on-pubg-features", "kernel_id": "2020894"}, {"ref": "michaelmalinjr/pubg-finish-placement-prediction-v1-0", "kernel_id": "2034776"}, {"ref": "jkraju/1st-place-solution", "kernel_id": "2713504"}, {"ref": "macsmith/pubg-predict-winplaceperc-using-lightgbm-in-r", "kernel_id": "2676921"}, {"ref": "ashishmishra1/pubg-finish-placement-using-fastai", "kernel_id": "2776154"}, {"ref": "priteshshrivastava/pubg-rf-with-model-interpretation-fast-ai", "kernel_id": "2600273"}, {"ref": "nitinaggarwal008/rf-output-feature-eng", "kernel_id": "2074607"}, {"ref": "nitinaggarwal008/simple-random-forest-approach-0-06", "kernel_id": "2034004"}, {"ref": "nitinaggarwal008/eda-step-by-step-guide", "kernel_id": "2144317"}, {"ref": "zhaoquan/eda-for-pubg", "kernel_id": "2275094"}, {"ref": "prongs1810/chirag-subramanian-notebook-r", "kernel_id": "2275749"}, {"ref": "kamalkishor1991/exploring-decision-trees-using-pubg-data", "kernel_id": "2284686"}, {"ref": "aaronyin/artifical-decision-trees", "kernel_id": "2200231"}, {"ref": "sdip28/pubg-exploratory-data-analysis-prediction", "kernel_id": "2153435"}, {"ref": "risenshine/pubg-player-rank-prediction-playground", "kernel_id": "2558636"}, {"ref": "aniketyevankar/secret-feature-that-everyone-seems-to-be-missing", "kernel_id": "2783432"}, {"ref": "pashadude/draft", "kernel_id": "2777171"}, {"ref": "ymmtyy/pubg1-linearreg-delete-object-mean-interpolate", "kernel_id": "2123415"}, {"ref": "gurupradeep/feature-engineering-using-rf-model", "kernel_id": "2761646"}, {"ref": "himakund/pubg-123", "kernel_id": "2003661"}, {"ref": "nannjanannja/pubg-practice", "kernel_id": "2874742"}, {"ref": "dhanaraja/eda-feature-engg-linear-regression", "kernel_id": "2012787"}, {"ref": "sidharthbolar/pubg-chicken-dinner", "kernel_id": "2013901"}, {"ref": "dhruvm/kernelf869c5ffc1", "kernel_id": "2324914"}, {"ref": "rajashri/pubg-beginner-level-analysis", "kernel_id": "2028758"}, {"ref": "hosseinbahrami/xgboost-cv10b", "kernel_id": "2218450"}, {"ref": "chaithanyakumar/exploratory-data-analysis-eda", "kernel_id": "2173117"}, {"ref": "ywleung/pubg-eda-rf-prediction", "kernel_id": "2028876"}, {"ref": "kristofersoderstrom/pubg-main", "kernel_id": "2782017"}, {"ref": "rohitagarwal/12th-place-solution", "kernel_id": "2587409"}, {"ref": "rohitagarwal/12th-place-solution-part-2", "kernel_id": "2718400"}, {"ref": "cvelas11/kernel0a7af6e49d", "kernel_id": "2324414"}, {"ref": "rubakdabbas/pubg-finish-placement-prediction-eda", "kernel_id": "2015806"}, {"ref": "fadhli/pubg-fast-ai-approach", "kernel_id": "2011375"}, {"ref": "ivangord/pubg-s-kernel-new-one", "kernel_id": "2805965"}, {"ref": "benalbert/jaded-bayes-pubg-placement-predictions", "kernel_id": "2270767"}, {"ref": "arjundas/lets-play-a-pubg-step-by-step-tutorial", "kernel_id": "2399903"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "brkurzawa/feature-importance-pipeline", "kernel_id": "2215659"}, {"ref": "teemingyi/pubg-my-first-lightgbm-submission", "kernel_id": "2153109"}, {"ref": "teemingyi/pubg-lightgbm-model-by-maxplace", "kernel_id": "2157701"}, {"ref": "teemingyi/pubg-data-exploration-bivariate-analysis", "kernel_id": "2114853"}, {"ref": "teemingyi/pubg-data-exploration-univariate-analysis", "kernel_id": "2106031"}, {"ref": "teemingyi/pubg-data-exploration-example-matches", "kernel_id": "2117143"}, {"ref": "teemingyi/pubg-my-first-xgboost", "kernel_id": "2125800"}, {"ref": "teemingyi/pubg-my-first-lightgbm", "kernel_id": "2130236"}, {"ref": "sravan1701/pubg-eda-using-rf", "kernel_id": "2725544"}, {"ref": "xiangyingcong/lightgbm-baseline", "kernel_id": "2277641"}, {"ref": "matthewa313/ensembling-post-processing", "kernel_id": "2199100"}, {"ref": "abhibisht89/lets-find-out-the-best-stats-of-the-game", "kernel_id": "2572251"}, {"ref": "jotaro/pubg-eda-and-cheater-exclusion-lgb-training", "kernel_id": "2409269"}, {"ref": "positronstar/somescript", "kernel_id": "2035146"}, {"ref": "kartikeyash/pubg-stats", "kernel_id": "2824735"}, {"ref": "liyunzhejack/random-forest", "kernel_id": "2745785"}, {"ref": "albytho/pubp-prediction-linear-regresion", "kernel_id": "2507523"}, {"ref": "albytho/pubg-prediction-ann-implementation", "kernel_id": "2519667"}, {"ref": "joocheol/q20181124", "kernel_id": "2085804"}, {"ref": "tianyixu/pubg-finish-placement-prediction-pairwise-ranking", "kernel_id": "2686454"}, {"ref": "cuberti/pubg-evaluation-python", "kernel_id": "2205653"}, {"ref": "gomes555/xgboost-caret-for-fun", "kernel_id": "2175830"}, {"ref": "gomes555/tidyverse-machine-learning-for-fun", "kernel_id": "2136528"}, {"ref": "prabhat7298/predicting-no-of-kills-tutorial-on-dt-boosting", "kernel_id": "2707157"}, {"ref": "malvika8/pubg-prediction-data-visualization", "kernel_id": "2164302"}, {"ref": "beaubellamy/pubg-predictions-random-forest", "kernel_id": "2193503"}, {"ref": "beaubellamy/pubg-feature-engineering-matchtype-gb", "kernel_id": "2193572"}, {"ref": "beaubellamy/pubg-predictions-gradient-boost", "kernel_id": "2192488"}, {"ref": "beaubellamy/pubg-eda", "kernel_id": "2012612"}, {"ref": "beaubellamy/pubg-feature-engineering", "kernel_id": "2065751"}, {"ref": "beaubellamy/pubg-predictions", "kernel_id": "2184337"}, {"ref": "beaubellamy/pubg-feature-engineering-modelling", "kernel_id": "2123255"}, {"ref": "nishankmagoo/predicting-winner-winner-chicken-dinner-in-pubg", "kernel_id": "2455846"}, {"ref": "wakamezake/pubg-eda-pandas-profiling", "kernel_id": "2099801"}, {"ref": "wakamezake/pubg-eda-tutorial", "kernel_id": "2159221"}, {"ref": "wakamezake/pubg-model-tutorial", "kernel_id": "2223574"}, {"ref": "wakamezake/pubg-dataset-csv-convert-feather-format", "kernel_id": "2223106"}, {"ref": "wakamezake/top10-player-analyze", "kernel_id": "2439293"}, {"ref": "wellsytheman/begin-with-insights-useful-or-not", "kernel_id": "2192044"}, {"ref": "hitewar/xyzabc", "kernel_id": "2516688"}, {"ref": "hitewar/pubg02", "kernel_id": "2411960"}, {"ref": "boksman/rf-naive", "kernel_id": "2585336"}, {"ref": "crisparada/have-a-cup-of-cluster", "kernel_id": "2154700"}, {"ref": "bhaskarboora/pubg-prediction", "kernel_id": "2709662"}, {"ref": "hjtk09/pubg-pred", "kernel_id": "2762567"}, {"ref": "justinmatters/pubg-exploratory-data-analysis-2018", "kernel_id": "2144511"}, {"ref": "justinmatters/pubg-predictions-1-random-forest", "kernel_id": "2091337"}, {"ref": "chicagojosh/pubg-placement-using-xgboost", "kernel_id": "2174015"}, {"ref": "yururoi/pubg-winplaceperc-predict", "kernel_id": "2092190"}, {"ref": "goldenbat/kernel4010317d63", "kernel_id": "2258079"}, {"ref": "goldenbat/ensembling-post-processing", "kernel_id": "2427004"}, {"ref": "goldenbat/pubg-finish-placement-prediction-playground", "kernel_id": "2426752"}, {"ref": "yansun1996/gbr-ipynb", "kernel_id": "2397503"}, {"ref": "yansun1996/baseline-linearregression", "kernel_id": "2390571"}, {"ref": "gauravgulati9c/eda-pubg", "kernel_id": "2078199"}, {"ref": "siftsingh/linear-regression-kernel", "kernel_id": "2367414"}, {"ref": "siftsingh/random-forest-optimised", "kernel_id": "2379194"}, {"ref": "plasticgrammer/pubg-finish-placement-prediction-keras", "kernel_id": "2708708"}, {"ref": "mgiraygokirmak/lightgbm-with-gridsearch-and-feat-importance-att", "kernel_id": "2211178"}, {"ref": "mgiraygokirmak/keras-tensorflow-approach", "kernel_id": "2232701"}, {"ref": "specbug/pubg-finish-placement-with-eda", "kernel_id": "2171070"}, {"ref": "ezzzio/pubg-finish-placement-predictions", "kernel_id": "2644517"}, {"ref": "pavelvpster/pubg-pytorch", "kernel_id": "2230555"}, {"ref": "pavelvpster/pubg-lightgbm", "kernel_id": "2090150"}, {"ref": "pavelvpster/pubg-solution-6", "kernel_id": "2742033"}, {"ref": "pavelvpster/pubg-linear-regression-3", "kernel_id": "2531335"}, {"ref": "tanreinama/lambdarank", "kernel_id": "2022494"}, {"ref": "sachinjchorge/fork-of-pubg-light-gbm-part-3-729a2e", "kernel_id": "2186064"}, {"ref": "sachinjchorge/pubg-light-gbm-part-2", "kernel_id": "2150116"}, {"ref": "ozlerhakan/intro-to-decisiontree-and-randomforest-using-pubg", "kernel_id": "2028227"}, {"ref": "econdata/pubgml", "kernel_id": "2762616"}, {"ref": "econdata/pubgstats8", "kernel_id": "2761987"}, {"ref": "damienpark/keras-prediction-for-pubg", "kernel_id": "2735232"}, {"ref": "damienpark/prediction-using-deep-learning", "kernel_id": "2944216"}, {"ref": "danielmartinezb/pubg-finish-placement-prediction", "kernel_id": "2329017"}, {"ref": "lawngaiyan/fork-of-eda-pubg-yluo-part-1", "kernel_id": "2105288"}, {"ref": "praneethvarmaalluri/baseline-model", "kernel_id": "2396996"}, {"ref": "praneethvarmaalluri/model-2", "kernel_id": "2397098"}, {"ref": "praneethvarmaalluri/hp-tuning", "kernel_id": "2397162"}, {"ref": "praneethvarmaalluri/next-try", "kernel_id": "2448365"}, {"ref": "praneethvarmaalluri/main-model", "kernel_id": "2295345"}, {"ref": "xbcccr/pubg-placement-pred-nn-baseline-lightgbm", "kernel_id": "2283314"}, {"ref": "masurte/really-big-kernel-eda-lightgbm-pictures", "kernel_id": "2294807"}, {"ref": "peijunhe/myown", "kernel_id": "2259566"}, {"ref": "naveenkumawat/pubgwithkushal-linearregression-neuralnetwork", "kernel_id": "2187843"}, {"ref": "ammar111/pubg-competition-solution-lb-score-0-042", "kernel_id": "2503735"}, {"ref": "foggyfoil5398/pubg-eda-dataunknown-s-battlegrounds", "kernel_id": "2762910"}, {"ref": "rgwegwegwe/first-submission", "kernel_id": "2493383"}, {"ref": "kousakumiyake/2019-01-17", "kernel_id": "2655362"}, {"ref": "tapanmeena/pubg-placement-prediction-tapan", "kernel_id": "2816479"}, {"ref": "mihiraman/pubg-win-prediction", "kernel_id": "2510416"}, {"ref": "leflal/fe-killplaceperc", "kernel_id": "2023167"}, {"ref": "leflal/how-winplaceperc-is-computed", "kernel_id": "2019504"}, {"ref": "disguise666/my-pubg-placement-predict", "kernel_id": "2257419"}, {"ref": "oshosingh/pubg-finish-placement-prediction", "kernel_id": "2433689"}, {"ref": "powercode/sklearn-mlp", "kernel_id": "2059080"}, {"ref": "takanobu0210/pubg-eda-feature-engineering-lightgbm", "kernel_id": "2275980"}, {"ref": "kvkr1997/nn-by-ghost-x", "kernel_id": "2090727"}, {"ref": "amoswish/pubg-prediction-1", "kernel_id": "2942003"}, {"ref": "amoswish/pubg-predict-of-amoswish", "kernel_id": "2681387"}, {"ref": "kbhartiya83/beginers-eda-for-pubg", "kernel_id": "2364408"}, {"ref": "nithin98/pubg-v5", "kernel_id": "2037982"}, {"ref": "max1mus300/submission-with-fe", "kernel_id": "2828233"}, {"ref": "shyamspr/random-forest-approach", "kernel_id": "2336004"}, {"ref": "abusiddik/pubg-randomforest", "kernel_id": "2170980"}, {"ref": "snakayama/pubg-eda-lightgbm-v1", "kernel_id": "2188015"}, {"ref": "snakayama/pugb-first-nn-v2", "kernel_id": "2186866"}, {"ref": "snakayama/pugb-nn", "kernel_id": "2152682"}, {"ref": "snakayama/pugb-first-nn-v3", "kernel_id": "2193776"}, {"ref": "taeyoukim/forkzzzzz", "kernel_id": "2858523"}, {"ref": "taeyoukim/tae-s-practice-pubg", "kernel_id": "2857850"}, {"ref": "sangatar/lgbm-ending-kernel", "kernel_id": "2732900"}, {"ref": "memesrizedxd/pubgick", "kernel_id": "2068245"}, {"ref": "vishal2210/ensemble-learning-using-decision-trees", "kernel_id": "2771550"}, {"ref": "rahul1932/fork-of-kernelb08666c708-16a7f4", "kernel_id": "2210701"}, {"ref": "jocelynchan/pubg-submission", "kernel_id": "2769246"}, {"ref": "akshitgupta98/pubg-ann-analysisng", "kernel_id": "2631900"}, {"ref": "thescratchmaster/how-to-win-at-pubg", "kernel_id": "2625808"}, {"ref": "michelle39140/kernelc8e17d5134", "kernel_id": "2411249"}, {"ref": "pkushin/pubg-finish-placement-prediction-playground", "kernel_id": "2480605"}, {"ref": "neelkamal692/my-approach", "kernel_id": "2159304"}, {"ref": "compositeofdata/pubg-col", "kernel_id": "2211656"}, {"ref": "erfannariman/pubg-kaggle-comp", "kernel_id": "2206558"}, {"ref": "ankuraman1234/solve-by-tree-method", "kernel_id": "2451205"}, {"ref": "chuckshaw/effective-feature-engineering-eda", "kernel_id": "2722767"}, {"ref": "chuckshaw/ensemble-baseline", "kernel_id": "2103463"}, {"ref": "iamarjunchandra/pubg-feature-engineering-lightgbm-explained", "kernel_id": "2761193"}, {"ref": "iamarjunchandra/part-1-pubg-eda-base-model", "kernel_id": "2412444"}, {"ref": "ikalinich/kernel4704713fe0", "kernel_id": "2622231"}, {"ref": "dineshmk594/pubg-eda-vif-gradient-boosting", "kernel_id": "2083257"}, {"ref": "bivek2211/player-unknown-battleground", "kernel_id": "2433265"}, {"ref": "kravol/kernel17a8dd403f", "kernel_id": "2207732"}, {"ref": "kamalchhirang/5th-place-solution-0-0184-score", "kernel_id": "2732253"}, {"ref": "lethalazo/model", "kernel_id": "2537334"}, {"ref": "mattburt07/pubg-data-analysis-xgboost", "kernel_id": "2222399"}, {"ref": "mattburt07/pubg-data-analysis-using-random-forest-approach", "kernel_id": "2214849"}, {"ref": "nikhilbhaskar16/pubg-player-rankings", "kernel_id": "2084747"}, {"ref": "avikdigidev/eda-on-pubg-using-only-pandas-and-numpy", "kernel_id": "2062521"}, {"ref": "rishrk007/pubg-finish-placement-prediction-playground", "kernel_id": "2889200"}, {"ref": "srijitghatak/pubg-analysis", "kernel_id": "2350703"}, {"ref": "skychae30/pubg-finish-placement-prediction-fin", "kernel_id": "2771752"}, {"ref": "shabbrikhan0015/pubg-data-visualization-and-cleaning", "kernel_id": "2001394"}, {"ref": "joeycorea/the-good-the-bad-and-the-pubg", "kernel_id": "2025341"}, {"ref": "henupark/kernel71ec870f85", "kernel_id": "2330875"}, {"ref": "henupark/henu-park-version-lightgbm-baseline", "kernel_id": "2347884"}, {"ref": "zhanelya8/zh0108", "kernel_id": "2423067"}, {"ref": "jaehyeokjang/simple-lightgbm-regression", "kernel_id": "2424942"}, {"ref": "hyerimpak/submission-christmas-eve", "kernel_id": "2184809"}, {"ref": "hyerimpak/eveeve2", "kernel_id": "2258574"}, {"ref": "shashanksagarjha/disadvantage-of-lasso-for-feature-selection", "kernel_id": "2293491"}, {"ref": "bdross97/killerkernel", "kernel_id": "2705283"}, {"ref": "hariprakashamk/pubg-eda-vif-gradient-boost-tuning", "kernel_id": "2137822"}, {"ref": "ashishkhuraishy/pubg-win-perc", "kernel_id": "2484498"}, {"ref": "ashishkhuraishy/the-pubg-challenge-advanced-regression", "kernel_id": "2110540"}, {"ref": "tanyeejet/pubg-finish-placement-prediction-rf", "kernel_id": "2606670"}, {"ref": "tanyeejet/pubg-finish-placement-prediction-xgb", "kernel_id": "2615723"}, {"ref": "tanyeejet/problem-reduce-mem-usage-df", "kernel_id": "2969052"}, {"ref": "pampi4/submission-v1", "kernel_id": "2160913"}, {"ref": "zombiecleansdata/pubg-predictions-with-linear-regression-model", "kernel_id": "2223067"}, {"ref": "satyakeb/predictor-knn-svm-commented-out", "kernel_id": "2647386"}, {"ref": "batalov/hardest-way-to-get-a-t-shirt-4th-place-solution", "kernel_id": "2192594"}, {"ref": "vaseline555/catboost-regressor-baseline", "kernel_id": "2410934"}, {"ref": "vaseline555/1d-cnn-for-numerical-features", "kernel_id": "2431328"}, {"ref": "nakyamurya/testjjj", "kernel_id": "2036018"}, {"ref": "jjangmi/battle-study", "kernel_id": "2356283"}, {"ref": "samiamami/one-match-at-a-time", "kernel_id": "2661002"}, {"ref": "omega1996/very-first-pubg", "kernel_id": "2688254"}, {"ref": "benshentist/pubg-lightgbm-xentropy", "kernel_id": "2011514"}, {"ref": "vaibhavpawade5/predictive-analysis-of-pubg", "kernel_id": "2743045"}, {"ref": "yipcyj/pubg-eda", "kernel_id": "2070430"}, {"ref": "jeffsnower/kernal-jeff-pca-and-ridge", "kernel_id": "2207111"}, {"ref": "nikkisharma536/pubg-winner", "kernel_id": "2332829"}, {"ref": "nikkisharma536/pubg-finale", "kernel_id": "2353619"}, {"ref": "vigneshtcd/vignesh-notebook", "kernel_id": "2568669"}, {"ref": "huma97/pubg-competition", "kernel_id": "2075290"}, {"ref": "mirosh111/pubg-regression", "kernel_id": "2076013"}, {"ref": "mirosh111/pubg-lightgbm", "kernel_id": "2394116"}, {"ref": "alucard1177/pubg-finish-prediction", "kernel_id": "2076099"}, {"ref": "alucard1177/pubg-nn", "kernel_id": "2383043"}, {"ref": "tpineapples/chicken-dinners", "kernel_id": "2199645"}, {"ref": "marioxx/ai-mario", "kernel_id": "2013944"}, {"ref": "yanyiming137/random-delete-data-size-0-4", "kernel_id": "2296280"}, {"ref": "yanyiming137/regression-data-0-2", "kernel_id": "2298620"}, {"ref": "yanyiming137/regression", "kernel_id": "2295891"}, {"ref": "yanyiming137/feature-analysis-and-linear-regression", "kernel_id": "2078014"}, {"ref": "vanin66/kernel11d512c5a2", "kernel_id": "2215876"}, {"ref": "chittu27/chaitanya", "kernel_id": "2298579"}, {"ref": "revn7969/fork-of-fe-killplaceperc", "kernel_id": "2252975"}, {"ref": "revn7969/sdsdsdsd", "kernel_id": "2253325"}, {"ref": "revn7969/eda-pubg-fceb1a", "kernel_id": "2253142"}, {"ref": "revn7969/fe-killplaceperc", "kernel_id": "2249783"}, {"ref": "revn7969/pubg-data-description-a-to-z-fe-with-python", "kernel_id": "2249754"}, {"ref": "iwasred/pubg-finish-placement-prediction-1", "kernel_id": "2375623"}, {"ref": "sjwsuperstar/analytic-tools-for-pubg", "kernel_id": "2463924"}, {"ref": "ks2003/tinkoff-generetion-ml-hometask8-by-nekokarp", "kernel_id": "2194490"}, {"ref": "ayushsaklani/pubg-kernel", "kernel_id": "2149871"}, {"ref": "ayushsaklani/pandas", "kernel_id": "2910810"}, {"ref": "thiagoandrade/xgboost-dt-rfr-e-svr", "kernel_id": "2285397"}, {"ref": "virajsanghvi12/generate-x-test", "kernel_id": "2155790"}, {"ref": "d1n0z4vr1ck/pubg-solution-from-innopilis-international-studens", "kernel_id": "2135119"}, {"ref": "naufalhrd/pubg-finish-placement-prediction", "kernel_id": "2029479"}, {"ref": "zijiewu/simple-nn", "kernel_id": "2024785"}, {"ref": "zhoujcc/kernel12d021107a", "kernel_id": "2680186"}, {"ref": "harshul23/kerneld070e89f5b", "kernel_id": "2432693"}, {"ref": "songaive/songaive-1", "kernel_id": "2013211"}, {"ref": "milleniax/kernel43805d1c0e", "kernel_id": "2023410"}, {"ref": "nicolaszhang/isolationforest-to-predict-the-cheaters", "kernel_id": "2118458"}, {"ref": "woocheol/kernel63c8135642", "kernel_id": "2310567"}, {"ref": "dylanrick98/fork-of-yunjung-kim-submission-521144", "kernel_id": "2455347"}, {"ref": "dylanrick98/2018195063-submission", "kernel_id": "2455355"}, {"ref": "dumbhead/pubg-finish-placement-prediction", "kernel_id": "2660269"}, {"ref": "llimenjivar/pubg-gaming-winners", "kernel_id": "2547155"}, {"ref": "nagroda100/pubg-submission-postprocessor", "kernel_id": "2278646"}, {"ref": "nagroda100/pubg-lgbm-regressor-fork", "kernel_id": "2749372"}, {"ref": "swaggyh/multilayer-perceptron", "kernel_id": "2470772"}, {"ref": "swaggyh/lightgbm", "kernel_id": "2462046"}, {"ref": "savvadia/reduce-memory-usage-any-column-type-nice-traces", "kernel_id": "2604367"}, {"ref": "smichav/pubgmisha", "kernel_id": "2194504"}, {"ref": "petyaracz/pubg-straightforward-run-r", "kernel_id": "2520012"}, {"ref": "scrat98/pubg-solution", "kernel_id": "2623239"}, {"ref": "yinchuanh/pubg-data-views", "kernel_id": "2392064"}, {"ref": "linxy777/trymykernel", "kernel_id": "2431095"}, {"ref": "dsuper/pubg-test", "kernel_id": "2286679"}, {"ref": "sniper1824/radhe", "kernel_id": "2400118"}, {"ref": "yingkaier/exploratory-data-analys-correlations", "kernel_id": "2373666"}, {"ref": "lavanyatalluru96/ee258-final-code", "kernel_id": "2392813"}, {"ref": "lavinov/optimizationmethodsproject-pubg", "kernel_id": "2648582"}, {"ref": "wang1997/ttest", "kernel_id": "2415041"}, {"ref": "braxtonbailey/16-x-random-forrests", "kernel_id": "2777439"}, {"ref": "chittu2794/chaitanya-s-notebook-kernel", "kernel_id": "2304079"}, {"ref": "era3eld/1-sub", "kernel_id": "2304708"}, {"ref": "kolsha/pubg-predictions-gradient-boost", "kernel_id": "2309370"}, {"ref": "armanhak/pubg-gamers-place-prediction", "kernel_id": "2353073"}, {"ref": "andreiv4/catboostregressor", "kernel_id": "2361268"}, {"ref": "itslek/pubg-nn-ensamble-lvl-1", "kernel_id": "2638518"}, {"ref": "itslek/pubg-lgb-ensamble-lvl-1", "kernel_id": "2636930"}, {"ref": "itslek/10th-place-solution-ensemble-lvl2", "kernel_id": "2632281"}, {"ref": "aykhansh/kernelf3e43d63fc", "kernel_id": "2349772"}, {"ref": "heye0507/kernel7e255809ae", "kernel_id": "2638046"}, {"ref": "yzfaiyxj/pubg-finish-placement-prediction-learning", "kernel_id": "2539433"}, {"ref": "hrush777/pubg-2", "kernel_id": "2731899"}, {"ref": "huangxuan9655/kernel2cb302ef33", "kernel_id": "2585513"}, {"ref": "enestatli/pubg-finish-placement-prediction-playground", "kernel_id": "2616532"}, {"ref": "chenxiaozheng/test-py", "kernel_id": "2557990"}, {"ref": "s1998khare/kernel59c36c7559", "kernel_id": "2809031"}, {"ref": "hp2019/pubg-game", "kernel_id": "2606319"}, {"ref": "fatrubicc/pubg-finish-placement-prediction", "kernel_id": "2775970"}, {"ref": "kristofersoderstrom/pubg-profiles", "kernel_id": "3217262"}, {"ref": "raphalencar/pubg-finish-placement-prediction-v3-0", "kernel_id": "3624744"}, {"ref": "lazodelsol/pubg-capstone-project", "kernel_id": "3004508"}, {"ref": "victorfco/pubg-win-prediction-analysis", "kernel_id": "3935573"}, {"ref": "jd81197/pubg-kernel", "kernel_id": "3220809"}, {"ref": "daftintrovert/eda-is-fun", "kernel_id": "3386641"}, {"ref": "wilsonwong94/xgboost-csv-file-submition", "kernel_id": "3763553"}, {"ref": "wilsonwong94/xgboost-try", "kernel_id": "3814896"}, {"ref": "yousefzook/dnn-solution", "kernel_id": "3347975"}, {"ref": "brijrokad/datasplit-for-pubg", "kernel_id": "3363173"}, {"ref": "brijrokad/features-for-pubg", "kernel_id": "3763996"}, {"ref": "brijrokad/lgbmregression-in-pubg", "kernel_id": "3746124"}, {"ref": "brijrokad/exploratory-data-analysis-feature-eng-for-pubg", "kernel_id": "3498812"}, {"ref": "scsaurabh/pubg-eda", "kernel_id": "3451245"}, {"ref": "stasdeep/2nn-duo-squad-solo-v2-with-postprocess", "kernel_id": "3129386"}, {"ref": "rucrazia/rucrazia-s-pubg-korean", "kernel_id": "3747619"}, {"ref": "ryuji13/pubgpart2", "kernel_id": "3974118"}, {"ref": "aditya100/finish-placement-prediction-in-pubg", "kernel_id": "3003473"}, {"ref": "arksong/test-lgb-full-bigtype", "kernel_id": "3793115"}, {"ref": "arksong/test-lasso", "kernel_id": "3826672"}, {"ref": "arksong/test-ensemble", "kernel_id": "3814664"}, {"ref": "tanyeejet/pubg-finish-placement-prediction-ensemble", "kernel_id": "3471021"}, {"ref": "mishraboi/chicken-dinner-analysis", "kernel_id": "3458491"}, {"ref": "ababakri/ai-pubg-aba-bakri-ibragimov", "kernel_id": "3438765"}, {"ref": "mahajanhm4/randomforestsimple", "kernel_id": "3625975"}, {"ref": "louiechiu/trying", "kernel_id": "3869939"}, {"ref": "hrush777/pubg-nn", "kernel_id": "3775593"}, {"ref": "aditya6743/kernelc644c3a767", "kernel_id": "3504621"}, {"ref": "toldo171/pubg-top-35-with-lgbm", "kernel_id": "3436550"}, {"ref": "toldo171/a-beginner-guide-to-top-35-lasso-rf-lgbm", "kernel_id": "3089752"}, {"ref": "egoodale/boosted-trees", "kernel_id": "3200845"}, {"ref": "lpasquini/prediction-luca-machine-learning", "kernel_id": "3063145"}, {"ref": "reijerknol/pubg-data", "kernel_id": "3905217"}, {"ref": "kumaml/kuma-pubg-eda", "kernel_id": "3025662"}, {"ref": "venkateshdeepak/pubg-linear-r", "kernel_id": "3281913"}, {"ref": "venkateshdeepak/pubg-linear-regression", "kernel_id": "3467131"}, {"ref": "ikarostech/kernelfa72455ca7", "kernel_id": "3335058"}, {"ref": "fajb420/kernel8a4c712887", "kernel_id": "3423722"}, {"ref": "fajb420/kernelcbc17636ff", "kernel_id": "3423659"}, {"ref": "m3bhady/enemies-grow-on-trees", "kernel_id": "3652915"}, {"ref": "m3bhady/pubg-is-fun", "kernel_id": "3651923"}, {"ref": "bledingedge/pubg-koustav", "kernel_id": "3509896"}, {"ref": "prkprime/kernelbfdcc05395", "kernel_id": "3621581"}, {"ref": "srivastava4/pubg-sid", "kernel_id": "3583800"}, {"ref": "wendyyangmin/kernel96adbd45f9", "kernel_id": "3815541"}, {"ref": "mjenkins1/pubg-walkthrough", "kernel_id": "4956189"}, {"ref": "arshadgeek/puubg", "kernel_id": "4241578"}, {"ref": "shridharc/pubg-winner-prediction", "kernel_id": "4935493"}, {"ref": "siddheshsathe/pubg-kernel", "kernel_id": "4099851"}, {"ref": "songjaewon/kernel2494e1596c", "kernel_id": "4193945"}, {"ref": "holydark30/bayesian-optimisation-and-model-stacking-wip", "kernel_id": "4487288"}, {"ref": "sunamyagupta/kernelebb39f78c3", "kernel_id": "4972012"}, {"ref": "rajwardhanshinde/play-store-analysis", "kernel_id": "4439854"}, {"ref": "fbt97119/pubg-analysis", "kernel_id": "4012332"}, {"ref": "ashwinkashyap/basic-eda-linear-regression", "kernel_id": "4096157"}, {"ref": "terminate9298/pubg-model-visualisation", "kernel_id": "4384285"}, {"ref": "terminate9298/pubg-model-predictions", "kernel_id": "4409052"}, {"ref": "akumaldo/pubg-prediction-lgb-model", "kernel_id": "4259098"}, {"ref": "event1051423/extreme-value", "kernel_id": "4118387"}, {"ref": "sudhin96/basic-eda-linear-regression", "kernel_id": "4083450"}, {"ref": "bilalahmed5/pubg12", "kernel_id": "4519368"}, {"ref": "bencenagy/first-attempt-at-understanding-regression", "kernel_id": "4440805"}, {"ref": "nitishgupta0/pubg-rank", "kernel_id": "5956786"}, {"ref": "mjenkins1/pubg-walkthrough-part-3", "kernel_id": "5045806"}, {"ref": "mjenkins1/pubg-walkthrough-part-2", "kernel_id": "5028788"}, {"ref": "mahendrabishnoi2/pubg-placement-prediction", "kernel_id": "5201776"}, {"ref": "zhanminghui/kernel890253180f", "kernel_id": "5209495"}, {"ref": "yangsaewon/pubg-battleground-data-analysis", "kernel_id": "5940585"}, {"ref": "spaceman04/pub-g-cheaters-exploration", "kernel_id": "5054210"}, {"ref": "gaddar/eda-is-fun", "kernel_id": "5571667"}, {"ref": "ljh9885/pubg-eda-by-lee", "kernel_id": "5931520"}, {"ref": "timetoshow/9-2-stacking-method", "kernel_id": "5014817"}, {"ref": "rashmiranjan00/pubg-placement-prediction", "kernel_id": "5789085"}, {"ref": "chiara87todaro/kernel5e616a4796", "kernel_id": "5655009"}, {"ref": "urbanside/pubg-linghtgbm-to-heroz", "kernel_id": "5725010"}, {"ref": "sarmientoj24/kernel24ca150951", "kernel_id": "6224336"}, {"ref": "sarmientoj24/kernel1857812c4b", "kernel_id": "6243521"}, {"ref": "sarmientoj24/sarmientoj24-kernelann", "kernel_id": "6177966"}, {"ref": "keyurparalkar/pubg-winner-prediction", "kernel_id": "6319056"}, {"ref": "mjenkins1/pubg-presentation-feature-engineering", "kernel_id": "6950740"}, {"ref": "mjenkins1/pubg-presentation-intro", "kernel_id": "6947283"}, {"ref": "blackjack8/pubg2698", "kernel_id": "6058970"}, {"ref": "ravijoe/playing-with-pubg-data", "kernel_id": "6706442"}, {"ref": "ruixuanli/pubg-winning-strategy-analysis", "kernel_id": "6996713"}, {"ref": "ravitejarj25/kernel252052e331", "kernel_id": "6320388"}, {"ref": "ravitejarj25/kernel3a04c4f85b", "kernel_id": "6065210"}, {"ref": "chaerink/welcome-guide-to-data-science-for-beginners", "kernel_id": "6373376"}, {"ref": "shaileshshettyd/pubg-data-analysis", "kernel_id": "6066031"}, {"ref": "hyeminoh/battleground-prediction-korean-ver", "kernel_id": "6010177"}, {"ref": "gubyb91/random-forrest-submission", "kernel_id": "6011590"}, {"ref": "enegorlem/group10", "kernel_id": "6204065"}, {"ref": "enegorlem/pubg-test", "kernel_id": "6199593"}, {"ref": "enegorlem/ann-v4", "kernel_id": "6278586"}, {"ref": "cmsaivenkat2/pubg-dataset", "kernel_id": "6818883"}, {"ref": "bzhang0625/kernel73ecb80046", "kernel_id": "6992032"}, {"ref": "amsantac/pubg-20200131", "kernel_id": "7776298"}, {"ref": "chimiro/battlegrounds", "kernel_id": "7290415"}, {"ref": "kumarabhishekone/zzzzzz", "kernel_id": "7960810"}, {"ref": "kaushal2896/pubg-finish-placement-prediction-starter-eda", "kernel_id": "7247416"}, {"ref": "saeedtqp/pubg-eda", "kernel_id": "7442808"}, {"ref": "macchi57/aprendizado-supervisionado-pubg-winplaceperc", "kernel_id": "7945849"}, {"ref": "qrzbing/kernel26ffce6b17", "kernel_id": "7538171"}, {"ref": "seva1986/kernel240b106f7b", "kernel_id": "7633351"}, {"ref": "bsy1997/kernele978ac15a0", "kernel_id": "7504570"}, {"ref": "andy172008/linearregression", "kernel_id": "7498178"}, {"ref": "yaakarsh1011/pubg-eda", "kernel_id": "7293512"}, {"ref": "muyun99/nmsc1916003-rf-lightgbm-dnn-model-ensembling", "kernel_id": "7513653"}, {"ref": "ardacandra/pubg-beginner-eda", "kernel_id": "7856412"}, {"ref": "jiangwei2018/justrungo", "kernel_id": "7192667"}, {"ref": "nozomuk/eda-is-fun", "kernel_id": "7951329"}, {"ref": "sidhlko/pubg-finish-placement-prediction-analysis", "kernel_id": "7388856"}, {"ref": "pauloelkers/kernel627d0b4622", "kernel_id": "7086679"}, {"ref": "haowu55/kernel146d8ce417", "kernel_id": "7834389"}, {"ref": "haowu55/kernel6d3d233634", "kernel_id": "7834531"}, {"ref": "nm1916050/kernel283d1b3c2a", "kernel_id": "7436554"}, {"ref": "nmsf1916014/nmsf1916014", "kernel_id": "7528390"}, {"ref": "kamalboulahya/nmsl1919012", "kernel_id": "7545316"}, {"ref": "jiebcoder/my-random-forest", "kernel_id": "7495574"}, {"ref": "jiebcoder/my-nn-kernel", "kernel_id": "7483402"}, {"ref": "nmsf1916009ml/feature-engineering-and-model-stacking", "kernel_id": "7506109"}, {"ref": "lhlyxkaggle/kernel42500be764", "kernel_id": "7267672"}, {"ref": "xushanjie/kernel75be911559", "kernel_id": "7497212"}, {"ref": "nmsf1916036/nmsf1916036-pubg-prediction", "kernel_id": "7093657"}, {"ref": "wangsky/kernel7d8b594486", "kernel_id": "7451737"}, {"ref": "menlonbun/kernel48abeb4dc7", "kernel_id": "7508323"}, {"ref": "wencylang/nmsx1916054-lr", "kernel_id": "7536471"}, {"ref": "hypnosx/xgboost-cv10b", "kernel_id": "7461936"}, {"ref": "renguowei/kernel17ecb74d2b", "kernel_id": "7494984"}, {"ref": "gjcrimson/kernel7099c3b06e", "kernel_id": "7509870"}, {"ref": "nmsx1916016/pubg-random-forest", "kernel_id": "7461314"}, {"ref": "bilizhazha/pubg-lin2", "kernel_id": "7508939"}, {"ref": "nmsf1916001/kernel1cefe28e23", "kernel_id": "7455863"}, {"ref": "nmsf1916019/nmsf1916019", "kernel_id": "7461309"}, {"ref": "betatu/nmsf1916056", "kernel_id": "7519885"}, {"ref": "marksmirnov/kernel1310d6c120", "kernel_id": "7243125"}, {"ref": "piladellihugo/nmsl1919006-sl1919008", "kernel_id": "7434094"}, {"ref": "nmbl1903502/nmbl1903502", "kernel_id": "7199653"}, {"ref": "wqbzdgqsmmz/hwx-s-work", "kernel_id": "7340052"}, {"ref": "wqbzdgqsmmz/hwx-s-group", "kernel_id": "7340372"}, {"ref": "novadropex/pubg-ru-eda-feature-engineering-solution-rf", "kernel_id": "7364123"}, {"ref": "nmsx1916116/kernel2a8b9b7cf2", "kernel_id": "7398196"}, {"ref": "nmsf1916042/kernel233d37c03d", "kernel_id": "7288553"}, {"ref": "dmitryrebrik/kernel15a3c1b030", "kernel_id": "7610790"}, {"ref": "nmbx1916011/kernel666dca102d", "kernel_id": "7461009"}, {"ref": "nmbx1916011/kernel49fd691914", "kernel_id": "7450617"}, {"ref": "nmst1916003/kernel4ffe78f965", "kernel_id": "7520616"}, {"ref": "nmsz1916014/kernel5303f0f07b", "kernel_id": "7416673"}, {"ref": "sx1916093/nmsx1916093", "kernel_id": "7455423"}, {"ref": "hypnosx99/minecraft-hunger-games-ftw", "kernel_id": "7464294"}, {"ref": "hypnosx99/pubg-rf-with-model-interpretation-fast-ai", "kernel_id": "7466986"}, {"ref": "qingyuanwu/deep-neural-network", "kernel_id": "7506452"}, {"ref": "chengyiyi/nmsl1919026-nmsl1919023-random-forest", "kernel_id": "7509360"}, {"ref": "nmsf1916044/nmsf1916044", "kernel_id": "7540143"}, {"ref": "melonaded/a-beginner-guide-to-top-35-lasso-rf-lgbm", "kernel_id": "7511035"}, {"ref": "liruowei/kernel7fda72b4fe", "kernel_id": "7521609"}, {"ref": "nijianing/nmsx1916049", "kernel_id": "7539404"}, {"ref": "grigoriisumlinskii/baseline-linearregression", "kernel_id": "7560258"}, {"ref": "tomoki86/kernel3dbaaee967", "kernel_id": "8590565"}, {"ref": "girijeshcse/effective-feature-engineering", "kernel_id": "8988263"}, {"ref": "yogendras843/pubg-data-analysis", "kernel_id": "8755874"}, {"ref": "manpreet123kaur/my-work", "kernel_id": "8489306"}, {"ref": "shjas94/kernel6e57a3355c", "kernel_id": "8705684"}, {"ref": "dineshseervi/pubg-win-prediction-with-92-accuracy", "kernel_id": "8461355"}, {"ref": "chaleecheappimolchai/the-art-of-eda", "kernel_id": "8940279"}, {"ref": "koreadataboy/pubg-model", "kernel_id": "8150735"}, {"ref": "chickspatel/eda-is-fun", "kernel_id": "8765906"}, {"ref": "kannankumar/pubg-finish-placement-prediction-fast-ai-ml", "kernel_id": "9725300"}, {"ref": "thehexa/eda-finding-the-best-strategy-to-win", "kernel_id": "9427272"}, {"ref": "rajtlakls2510/top-tips-to-play-like-a-pro-rajtilak-pal", "kernel_id": "9003771"}, {"ref": "ghosh153/ritwik-pubg-eda", "kernel_id": "9005273"}, {"ref": "balaka18/pubg-hackathon", "kernel_id": "9003902"}, {"ref": "ram15101998/kernel617be65d27", "kernel_id": "9943470"}, {"ref": "demdee/kernel3086d862d7", "kernel_id": "9476889"}, {"ref": "sarthakkundu/sarthak-pubg", "kernel_id": "9012214"}, {"ref": "ritayandhara/eda-on-pubg-what-to-do-not-to-do", "kernel_id": "9010000"}, {"ref": "wasifekbal/pubg-analysis", "kernel_id": "9014173"}, {"ref": "writuparnabanerjee/tips-to-get-a-chicken-dinner", "kernel_id": "9006244"}, {"ref": "sanaayousuf/kagglepubg", "kernel_id": "9005215"}, {"ref": "rohitsharma0206/kernel1e25a5521c", "kernel_id": "9094851"}, {"ref": "adamyang/ensemble-model-by-team-3aml", "kernel_id": "9508915"}, {"ref": "shimomatomoya/pubg-ranking-regressor", "kernel_id": "9710277"}, {"ref": "jaegyunkim/final-tf", "kernel_id": "9238435"}, {"ref": "rahulghosh813/kernele208a7c52d", "kernel_id": "9003862"}, {"ref": "alekhyobanerjee/kernel5283b5b756", "kernel_id": "9011425"}, {"ref": "ritikverma19/pubganalysis", "kernel_id": "9009743"}, {"ref": "mushrequanawaz/pubg-data-analysis", "kernel_id": "9162586"}, {"ref": "gazalgarg/pubgdataanalysis", "kernel_id": "9020076"}, {"ref": "tathagatanath/pubg-win-loose-analysis", "kernel_id": "9017904"}, {"ref": "srijanichaudhury/pubg-do-s-and-dont-s", "kernel_id": "9010518"}, {"ref": "zhangmingshuo/kernel1427102d5d", "kernel_id": "9649323"}, {"ref": "priscilatamang/pubg-analysis", "kernel_id": "9059283"}, {"ref": "nehamore1/kernel592acf1c7b", "kernel_id": "9506195"}, {"ref": "purnimajaiswal2/data-science-boot-camp-activity-1", "kernel_id": "9537438"}, {"ref": "sachinramachandran/pubg-sachin", "kernel_id": "10911466"}, {"ref": "kalyanparimi/pubg-data-analytics-kalyan-parimi", "kernel_id": "10846229"}, {"ref": "sabomasa/pubg-simple-lightgbm", "kernel_id": "10760244"}, {"ref": "hon20002000/kernel11a403ed2d", "kernel_id": "10318041"}, {"ref": "ram15101998/pubg-data-science-workshop", "kernel_id": "10112853"}, {"ref": "jeffluczak/pubg-kernel", "kernel_id": "10296897"}, {"ref": "muhammedabdulazeem/pubg-full-eda-and-predication-different-ml-models", "kernel_id": "10179023"}, {"ref": "dharinir242001/pubg-dataset-analysis", "kernel_id": "10609612"}, {"ref": "kimsouce/submit", "kernel_id": "10543470"}, {"ref": "rohitsaka/pubg-finish-predictions", "kernel_id": "10375759"}, {"ref": "rohitsaka/pubg-analysis", "kernel_id": "10372140"}, {"ref": "itsgauravjoshi/know-the-data-eda-and-feature-engineering", "kernel_id": "10969960"}, {"ref": "mdzarifhossain/pubg-eda-and-predictions", "kernel_id": "10865610"}, {"ref": "sevashasla/pubg-win-of-not", "kernel_id": "10179595"}, {"ref": "adinishad/pubg-eda-and-predictions", "kernel_id": "10839364"}, {"ref": "dhruvsharma472236/win-place-perc", "kernel_id": "10306679"}, {"ref": "ezzzio/tensorflow-tutorials-3-number-crunching", "kernel_id": "11423654"}, {"ref": "ashraf90/pubg-finish-placement-prediction", "kernel_id": "11354122"}, {"ref": "elgendy5576/pubg-analysis-and-prediction", "kernel_id": "11319720"}, {"ref": "hegab7/pubg-note", "kernel_id": "11311780"}, {"ref": "omermo/pubg-finish-placement-prediction", "kernel_id": "11308355"}, {"ref": "seifmohmed/pubg-analysis-and-modeling", "kernel_id": "11336876"}, {"ref": "abraramin/pubg-submission-comp", "kernel_id": "11104572"}, {"ref": "rahulpawade/xgbregressor", "kernel_id": "11211210"}, {"ref": "mehmetbabur/pubg-eda", "kernel_id": "11754252"}, {"ref": "abhialampu/kernel2c1de28854", "kernel_id": "11132298"}, {"ref": "pontiacboy/pubg-competition", "kernel_id": "12974490"}, {"ref": "nouranali/pubg-winning-scenario", "kernel_id": "12918170"}, {"ref": "firecross/baseline-model", "kernel_id": "12602060"}, {"ref": "firecross/fe-rfr-2", "kernel_id": "12892616"}, {"ref": "shikhnu/pubg-battle-royal-finish-placement-prediction", "kernel_id": "12094720"}, {"ref": "tathagatabardhan/delhi-ncr-haryana-uk-team-2-2nd-submission", "kernel_id": "12110003"}, {"ref": "tathagatabardhan/delhi-ncr-haryana-uttarakhand-team-2", "kernel_id": "12076600"}, {"ref": "leeyongsung/deeplearning-to-practice", "kernel_id": "12370010"}, {"ref": "tripathiji/final-pubg-prediction", "kernel_id": "12636656"}, {"ref": "ash0prime/pubg-notebook", "kernel_id": "12094247"}, {"ref": "oneplustricks/pubg-prediction-who-is-winning", "kernel_id": "12112919"}, {"ref": "satyamo73/notebook70bfabc92e", "kernel_id": "12109959"}, {"ref": "ankitsharmax/pubg-pred", "kernel_id": "12105907"}, {"ref": "ankitsharmax/bengal-ne-jhar-orissa-ii-team-2", "kernel_id": "12103817"}, {"ref": "mynextstep16/beginner-1st-model", "kernel_id": "12087146"}, {"ref": "nitinver19/rajasthan-gujarat-cluster", "kernel_id": "12076993"}, {"ref": "huaruilu/notebook4e9f191ba9", "kernel_id": "12228503"}, {"ref": "huaruilu/hxuaruilu", "kernel_id": "12227711"}, {"ref": "avishekdas10/eda-for-pubg", "kernel_id": "12093984"}, {"ref": "firecross/lightgbm", "kernel_id": "13184612"}, {"ref": "blackhurt/notebooka3ec5cf63f", "kernel_id": "13213859"}, {"ref": "liudad/pubg-homework", "kernel_id": "13806137"}, {"ref": "gaothis/pubg-finish-placement-prediction", "kernel_id": "13753155"}, {"ref": "a0224898l/notebookfe4281c0be", "kernel_id": "13934599"}, {"ref": "nikosraftogiannis/pubg-finish-placement-prediction-tf2", "kernel_id": "13837618"}, {"ref": "nmsx2016029/nmsx2016058", "kernel_id": "13849542"}, {"ref": "evgeniyayavlyanskaya/notebook65813b9e24", "kernel_id": "13452787"}, {"ref": "ashishuike/pubg-data-analysis", "kernel_id": "13619547"}, {"ref": "zzy248/fudan-sds-bigdata", "kernel_id": "13700300"}, {"ref": "nms2016145/gbr-lightgbm-test", "kernel_id": "13506391"}, {"ref": "heisenbergppt/testmlp", "kernel_id": "14923844"}, {"ref": "nuaazhouweiwei/notebook7b8f4c3f96", "kernel_id": "14083709"}, {"ref": "danielbryan666/nmsz2016127", "kernel_id": "14080678"}, {"ref": "anantayatimtong/pubg-winplace-prediction", "kernel_id": "14791238"}, {"ref": "nmsf2016027/nmsf2016027", "kernel_id": "14185453"}, {"ref": "salihsert/pubg-eda", "kernel_id": "14499161"}, {"ref": "egoluback/pubg-placement-model", "kernel_id": "15176946"}, {"ref": "johnathanxie/unit-2", "kernel_id": "15294365"}, {"ref": "divsgarg/pubg-data-analysis", "kernel_id": "15781648"}, {"ref": "dzlevin/pubg-predictions", "kernel_id": "16960924"}, {"ref": "sivantm/pubg-win-place-percentage", "kernel_id": "16678526"}, {"ref": "taha3012000/p-u-b-g", "kernel_id": "16361419"}, {"ref": "klmsathishkumar/pubg-analysis", "kernel_id": "16676333"}, {"ref": "karinaklyuchnik/keglivkaggle", "kernel_id": "16691790"}, {"ref": "lexo4kaa/notebookcd345d8cc6", "kernel_id": "16500989"}, {"ref": "ostappanchak/finalcountdown", "kernel_id": "16286521"}, {"ref": "tatsianaverbovich/notebooke8416bb27f", "kernel_id": "16654704"}, {"ref": "yihg312/final", "kernel_id": "17048217"}, {"ref": "ryanbarretto/notebook33299970ea", "kernel_id": "18792299"}, {"ref": "juliehz/pubs-eda", "kernel_id": "18254428"}, {"ref": "anshalsingh/eda-and-prediction-on-pubg-data", "kernel_id": "18714477"}, {"ref": "yakiya51/pubg-identifying-potential-cheaters", "kernel_id": "18498465"}, {"ref": "atharvparbalkar/cheater-detection-pubg", "kernel_id": "18789605"}, {"ref": "manasa0634/project-game-theory", "kernel_id": "20288978"}, {"ref": "yukiyamamoto/lightgbm-feature-engineering", "kernel_id": "20854698"}, {"ref": "yukiyamamoto/baseline", "kernel_id": "20813211"}, {"ref": "karanpreetverma/pubg-data-exploration", "kernel_id": "20626693"}, {"ref": "gudala/pubg-finish-placement-prediction", "kernel_id": "21115496"}, {"ref": "juancgonzalez/eda-is-fun", "kernel_id": "22728294"}, {"ref": "eryash15/pubg-simplest-model", "kernel_id": "23023292"}, {"ref": "rashmika879/pubg-placemment-predict", "kernel_id": "24405397"}, {"ref": "songwonmin/pubg-baseline-eng", "kernel_id": "25322007"}, {"ref": "merabetasma/level4-pubg", "kernel_id": "25901861"}, {"ref": "merabetasma/submit-pubg", "kernel_id": "25830763"}, {"ref": "redeyes0007/compairing-models", "kernel_id": "25988811"}, {"ref": "vladimirgluten/pubg-finishing-placement", "kernel_id": "25299398"}, {"ref": "eliashatem/eda-clean-the-data", "kernel_id": "25557765"}, {"ref": "baraanajjar/newpubglevel2trials", "kernel_id": "25388704"}, {"ref": "baraanajjar/newpubglevel2", "kernel_id": "25753184"}, {"ref": "kaglleporsche/22spring-bim801-eda", "kernel_id": "26707272"}, {"ref": "inyeongkang/pubg-only-eda", "kernel_id": "26690259"}, {"ref": "mirhyun0508/pubg-eda-and-visualization", "kernel_id": "26654489"}, {"ref": "cwonseo/smarcle-ai-kaggle-study-pubg-cws", "kernel_id": "26662019"}, {"ref": "emmymaldonado/g-b-datando", "kernel_id": "26623515"}, {"ref": "asingh2262000/pub-g-data-analysis", "kernel_id": "26226519"}, {"ref": "alstn38/pubg-prediction-beginner-s-practice-korean", "kernel_id": "26686023"}, {"ref": "choconaga/pubg-killlplace-topological-sort", "kernel_id": "27923344"}, {"ref": "kaglleporsche/22spring-bim801-neuralnetwork-top12", "kernel_id": "27625749"}, {"ref": "kaglleporsche/22spring-bim801-ensemble-top12", "kernel_id": "27796403"}, {"ref": "hangilzzang/hangilzzang-s-notebook", "kernel_id": "27805764"}, {"ref": "kaglleporsche/22spring-bim801-xgboost-top12", "kernel_id": "28065254"}, {"ref": "kjh9571/pjt-6", "kernel_id": "28086330"}, {"ref": "esxmod/notebookac21ee6192", "kernel_id": "28114517"}, {"ref": "rayenghali023/pubg-eda", "kernel_id": "28949590"}, {"ref": "pragya1110/pubg-visualizing-placement-prediction", "kernel_id": "29409594"}, {"ref": "daviddonghyunchoi/pubg-lighgbm-gpu", "kernel_id": "29590276"}, {"ref": "aleksanderziobro/pubgplacementmodelforproject", "kernel_id": "29527202"}, {"ref": "rohanmudgalkar/pubg-finish-rank-prediction", "kernel_id": "31448660"}, {"ref": "alexbostick/pubg-eda", "kernel_id": "31140834"}, {"ref": "cristinapulidomartn/ejercicio-opcional", "kernel_id": "31326903"}, {"ref": "smilyg/notebook112bd7f32b", "kernel_id": "32656076"}, {"ref": "smilyg/notebook571549ce66", "kernel_id": "32655651"}, {"ref": "smilyg/submit", "kernel_id": "32655297"}, {"ref": "rajkachhadiya/pubg-eda-and-feature-engineering-and-lightgbm", "kernel_id": "33544960"}, {"ref": "maloleblaireau/notebook104757c8aa", "kernel_id": "34366563"}, {"ref": "minsungjeong/eda-for-the-battle-ground-user-data", "kernel_id": "35117769"}, {"ref": "thisishusseinali/pubg-finish-placement-analysis", "kernel_id": "36999661"}, {"ref": "prakashthakur99/pubg-game-winner-prediction", "kernel_id": "36475387"}, {"ref": "karamalhanatleh/analysis-pubg-finish-placement-prediction-3", "kernel_id": "37625176"}, {"ref": "karamalhanatleh/analysis-pubg-finish-placement-prediction-2", "kernel_id": "37339929"}, {"ref": "biswaroopnath/bgmi-data-analytics", "kernel_id": "37090522"}, {"ref": "rikuuuuu/notebook-pubg-submission", "kernel_id": "40870090"}, {"ref": "omarkhald/pubg-regression", "kernel_id": "41744257"}, {"ref": "guoxinzhang12/train-pubg-separately-according-to-match-types-111", "kernel_id": "41184421"}, {"ref": "ahmedsayedfat7y/pubg-prediction", "kernel_id": "41758226"}, {"ref": "rikuuuuu/notebook-pubg-sample", "kernel_id": "41547897"}, {"ref": "tatsuyafukuta/notebook3dd0650e60bykanji", "kernel_id": "41060740"}, {"ref": "tatsuyafukuta/datascience-final", "kernel_id": "41523662"}, {"ref": "ayuishii/c702331002-ayuishii", "kernel_id": "41594831"}, {"ref": "kanjikawahara/notebook64d1d396b1", "kernel_id": "41178993"}, {"ref": "kanjikawahara/datascience-final", "kernel_id": "41402336"}, {"ref": "shimadamirei/notebook89c34eb250", "kernel_id": "41590208"}, {"ref": "hiraishiyuya/notebook2ef8635489", "kernel_id": "41678303"}, {"ref": "kantasakamoto/notebooke162db9b22", "kernel_id": "41594650"}, {"ref": "harukifujiii/notebookd0a6270cc5", "kernel_id": "41608032"}, {"ref": "nijunhao/notebook5002740b1c", "kernel_id": "41598319"}, {"ref": "vivekiet22/bgmi-pubg-eda-for-gamers", "kernel_id": "42030972"}, {"ref": "tomasjuran/pubg-placements", "kernel_id": "47014113"}, {"ref": "mostafamohamad/pubg-predictions", "kernel_id": "47657294"}, {"ref": "arinmu/pubg-eda", "kernel_id": "56787772"}, {"ref": "arinmu/pubg-xgb", "kernel_id": "56375287"}, {"ref": "yeonbeeseo/240508-randomforest", "kernel_id": "56628029"}, {"ref": "yeonbeeseo/240514-rf-train", "kernel_id": "56696604"}, {"ref": "kimdoojin/notebook771c30252b", "kernel_id": "56788590"}, {"ref": "yugyeongkim1216/gbr-5-10", "kernel_id": "56700435"}, {"ref": "arinmu/pubg-tfdf", "kernel_id": "57221976"}, {"ref": "yugyeongkim1216/gbr-240513", "kernel_id": "57068518"}, {"ref": "ibrahimovic99/notebook2d8244897e", "kernel_id": "61581762"}, {"ref": "houzumitomoya/notebook5116e6e8db", "kernel_id": "61582261"}, {"ref": "tk2research/notebook4251b97bf7", "kernel_id": "61581650"}, {"ref": "katsudondon/notebookb26e1e0cf7", "kernel_id": "62025021"}, {"ref": "tagawakosei/ec2072285b", "kernel_id": "62976922"}, {"ref": "parkjeongwonn/battleground-rank-pred", "kernel_id": "70405320"}, {"ref": "prathapmurugasen/pubg-victory-making-machine-learning-the-real-mvp", "kernel_id": "72502125"}, {"ref": "moxxis/machine-learning-cheat-sheet", "kernel_id": "83628700"}, {"ref": "minsung813/challenge-pubg", "kernel_id": "89761237"}, {"ref": "octopuscurry/kaggle-study-pubg-prediction", "kernel_id": "89717272"}, {"ref": "bingchillinggoddess/pububg", "kernel_id": "94300430"}, {"ref": "beyzatopbas/pubg-finish-placement-prediction", "kernel_id": "108869568"}, {"ref": "ahsxnz/notebook355a31192f", "kernel_id": "122075849"}]}
{"competition_id": "10338", "kernels": [{"ref": "nikhilikhar/rsna-classification-with-densenet", "kernel_id": "1662597"}, {"ref": "nikhilikhar/rsna-with-fastai", "kernel_id": "1560941"}, {"ref": "nikhilikhar/classification-with-83-accuracy", "kernel_id": "1535916"}, {"ref": "lextoumbourou/coco-mask-rcnn-with-submission-stage-2", "kernel_id": "1969622"}, {"ref": "kmader/gaussian-mixture-lung-segmentation", "kernel_id": "1633532"}, {"ref": "kmader/opacity-classifier-just-the-lungs", "kernel_id": "1621435"}, {"ref": "kmader/matching-rsna-images-to-nih-images", "kernel_id": "1613265"}, {"ref": "kmader/training-u-net-on-tb-images-to-segment-lungs", "kernel_id": "1614073"}, {"ref": "kmader/create-lung-opacity-dataset", "kernel_id": "1585110"}, {"ref": "kmader/lung-opacity-overview", "kernel_id": "1526992"}, {"ref": "kmader/lung-opacity-classification-transfer-learning", "kernel_id": "1527338"}, {"ref": "kmader/95-percentile-box-guess", "kernel_id": "1529225"}, {"ref": "kmader/lung-opacity-segmentations", "kernel_id": "1848579"}, {"ref": "kmader/sharp-bbox-model-submission", "kernel_id": "1943891"}, {"ref": "kmader/global-attention-upsample-lung-segmentation", "kernel_id": "1933141"}, {"ref": "kmader/global-pixelwise-attention-lung-segmentation", "kernel_id": "1934206"}, {"ref": "shantanubiswas/u-net-lung-segmentation-montgomery-shenzhen", "kernel_id": "1928945"}, {"ref": "dovgro/fastai-exploration", "kernel_id": "1650390"}, {"ref": "masato/patient-data-in-dicom-file", "kernel_id": "1529789"}, {"ref": "kas123/sample-and-enhance-contrast", "kernel_id": "1532645"}, {"ref": "virilo/features-and-cv-stratified-fold-assignment", "kernel_id": "1664166"}, {"ref": "jtlowery/intro-eda-with-dicom-metadata", "kernel_id": "1549650"}, {"ref": "drt2290078/mask-rcnn-sample-starter-code", "kernel_id": "1527320"}, {"ref": "kretes/rpn-mask-r-cnn-regions-exploration-on-rsna-data", "kernel_id": "1561274"}, {"ref": "kretes/visualize-bounding-box-errors-and-confidence", "kernel_id": "1597441"}, {"ref": "kretes/how-good-is-detection-given-a-perfect-classifier", "kernel_id": "1616384"}, {"ref": "thomasjpfan/q-a-with-only-pictures", "kernel_id": "1531605"}, {"ref": "hmendonca/mask-rcnn-with-submission", "kernel_id": "1569318"}, {"ref": "hmendonca/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "1683842"}, {"ref": "hmendonca/airbus-mask-rcnn-and-coco-transfer-learning", "kernel_id": "1780540"}, {"ref": "giuliasavorgnan/start-here-beginner-intro-to-lung-opacity-s1", "kernel_id": "1547297"}, {"ref": "giuliasavorgnan/data-leakage-viewposition-pa-ap-matters", "kernel_id": "1548338"}, {"ref": "giuliasavorgnan/0-123-lb-pytorch-unet-run-on-google-cloud", "kernel_id": "1774298"}, {"ref": "sathya16/pneumonia-classification", "kernel_id": "1560233"}, {"ref": "raretiger/rsna-pneumonia-detection-preprocessing", "kernel_id": "1536904"}, {"ref": "thoolihan/explore-labels", "kernel_id": "1549726"}, {"ref": "paulorzp/one-line-new-sample-submission-mean", "kernel_id": "1526707"}, {"ref": "paulorzp/mask-cnn-coco-lung-opacity-classif-lb-1-66", "kernel_id": "1951124"}, {"ref": "paulorzp/simple-convert-dicom-to-png", "kernel_id": "1965529"}, {"ref": "daielchom/semantic-segmentation-with-unet-model", "kernel_id": "1571411"}, {"ref": "mariammohamed/eda-with-data-visualization-for-stage-2-data", "kernel_id": "1695721"}, {"ref": "bhavesh09/biomedical-image-analysis-introduction", "kernel_id": "1690006"}, {"ref": "jonnedtc/cnn-segmentation-connected-components", "kernel_id": "1526140"}, {"ref": "robikscube/eda-lets-detect-pneumonia-explore-lung-images", "kernel_id": "1527912"}, {"ref": "nikitpatel/anlysis-and-exploration-of-images", "kernel_id": "1538378"}, {"ref": "ashutosh7/eda-otsu-thresholding", "kernel_id": "1883624"}, {"ref": "gpreda/rsna-pneumonia-detection-eda", "kernel_id": "1559042"}, {"ref": "moghazy/simple-data-exploration", "kernel_id": "1626085"}, {"ref": "chungyehwang/exploratory-data-analysis", "kernel_id": "1536344"}, {"ref": "manjeetsingh/lung-opacity-overview", "kernel_id": "1536236"}, {"ref": "ashishpatel26/chexnet-batch-normalization-hyparameter-tuning", "kernel_id": "1535901"}, {"ref": "ashishpatel26/rsna-786", "kernel_id": "1543781"}, {"ref": "ashishpatel26/cnn-remedies", "kernel_id": "1543183"}, {"ref": "ashishpatel26/beginner-tutorial-nasnet-pneumonia-detection", "kernel_id": "1611279"}, {"ref": "ashishpatel26/chexnet-radiologist-level-pneumonia-detection", "kernel_id": "1528943"}, {"ref": "ashishpatel26/resnet50-pneumonia-detection", "kernel_id": "1530372"}, {"ref": "ashishpatel26/lung-opacity-classification-using-densenet-121", "kernel_id": "1530266"}, {"ref": "mgaringo/rsna-part-2b-u-net-lung-segmentation", "kernel_id": "1744987"}, {"ref": "aharless/oof-probabilities", "kernel_id": "1609503"}, {"ref": "aharless/cv-scores-from-256x256-oof-predictions", "kernel_id": "1616600"}, {"ref": "aharless/make-folds", "kernel_id": "1631135"}, {"ref": "aharless/cnn-320-assgt-1-fold-0", "kernel_id": "1634171"}, {"ref": "aharless/cnn-segmentation-connected-components", "kernel_id": "1548047"}, {"ref": "aharless/jonne-cnn-validation-optimize-mask-threshold", "kernel_id": "1564748"}, {"ref": "aharless/revised-antonova-metric-for-perfect-class-baseline", "kernel_id": "1583675"}, {"ref": "aharless/cnn-segmentation-resnet-depth-5-173fd7", "kernel_id": "1583168"}, {"ref": "aharless/perfect-classification-baseline", "kernel_id": "1583494"}, {"ref": "aharless/jonne-model-4ep-baseline-validation", "kernel_id": "1598984"}, {"ref": "aharless/get-yagana-s-stage1-pdf-kaggle-bug-workaround", "kernel_id": "1998807"}, {"ref": "aharless/nonmax2v8-final-stage-2", "kernel_id": "1954992"}, {"ref": "aharless/filter-199-final-with-higher-thresh-stage-2", "kernel_id": "1955045"}, {"ref": "aharless/blending-postprocessing-rsna-higher-thresh-stage2", "kernel_id": "1955107"}, {"ref": "aharless/combine-fold-class-predictions-stage-2", "kernel_id": "1954757"}, {"ref": "aharless/resnet-unet-from-saved-weights-stage-2", "kernel_id": "1954410"}, {"ref": "aharless/yolov3-inference-from-multiple-saved-wts-stage-2", "kernel_id": "1954438"}, {"ref": "aharless/yolov3-inference-from-more-saved-weights-stage-2", "kernel_id": "1954453"}, {"ref": "aharless/andy-densenet-from-multiple-saved-weights-stage-2", "kernel_id": "1954459"}, {"ref": "aharless/gs-dense-chexnet-predict-stage-2-from-all-models", "kernel_id": "1954471"}, {"ref": "aharless/mrcnn-inference-from-saved-wts-2dig-95-stage-2", "kernel_id": "1954478"}, {"ref": "aharless/mrcnn-inference-from-saved-wts-4dig-70-stage-2", "kernel_id": "1954494"}, {"ref": "aharless/so-there-s-an-actual-directory-structure", "kernel_id": "1795624"}, {"ref": "aharless/quickie-densenet-classification-starter", "kernel_id": "1783025"}, {"ref": "aharless/fork-v8-henrique-s-model-w-randomly-higher-score", "kernel_id": "1775368"}, {"ref": "chenyc15/mean-average-precision-metric", "kernel_id": "1533602"}, {"ref": "peterchang77/exploratory-data-analysis", "kernel_id": "1485030"}, {"ref": "redhood1905/intial-analysis-of-the-dataset", "kernel_id": "1628273"}, {"ref": "prasunmishra/resnet152-transfer-learning-pre-trained-weights", "kernel_id": "1584860"}, {"ref": "pratiush309/ml-project-pneumonia", "kernel_id": "1763474"}, {"ref": "byrachonok/show-image-with-labels", "kernel_id": "1622857"}, {"ref": "nikhilroxtomar/cnn-unet-segmentation-for-xray-opacity-detection", "kernel_id": "1547020"}, {"ref": "nikhilroxtomar/preprocessing-dataset", "kernel_id": "1552813"}, {"ref": "kiwifairy/visualize-x-ray-image-with-bounding-boxes", "kernel_id": "1548873"}, {"ref": "vbookshelf/python-generators-to-reduce-ram-usage-part-1", "kernel_id": "1583567"}, {"ref": "vbookshelf/python-generators-to-reduce-ram-usage-part-2", "kernel_id": "1588907"}, {"ref": "vbookshelf/keras-iou-metric-implemented-without-tensor-drama", "kernel_id": "1603667"}, {"ref": "schlerp/getting-to-know-dicom-and-the-data", "kernel_id": "1548652"}, {"ref": "krishamehta/kernelcc0f09685d", "kernel_id": "1615367"}, {"ref": "yesredpig/lung-opacity-overview-0406e8", "kernel_id": "1625552"}, {"ref": "meaninglesslives/dataset-visualization-using-opencv", "kernel_id": "1595776"}, {"ref": "meaninglesslives/simple-feature-extraction-and-image-enhancement", "kernel_id": "1531520"}, {"ref": "returnofsputnik/use-dicom-data-to-correct-your-predictions", "kernel_id": "1589852"}, {"ref": "returnofsputnik/jonne-cnn-create-out-of-folds-4fold-8epoc", "kernel_id": "1585271"}, {"ref": "returnofsputnik/naive-model", "kernel_id": "1534472"}, {"ref": "returnofsputnik/predict-the-mean-box-location", "kernel_id": "1534510"}, {"ref": "umerfarooq807/exploratory-data-analysis", "kernel_id": "1529553"}, {"ref": "nikitsoftweb/san-mask-cnn-coco-lung-opacity-classif-lb-1-66", "kernel_id": "1957218"}, {"ref": "cchadha/cnn-segmentation-connected-components-new-split", "kernel_id": "1616392"}, {"ref": "cchadha/mean-average-precision-iou-on-cnn-oof-preds", "kernel_id": "1739307"}, {"ref": "cchadha/cnn-segmentation-cv-with-oof-preds-on-train-set", "kernel_id": "1714307"}, {"ref": "volneigm/mask-rcnn-and-coco-transfer-learning-v1", "kernel_id": "1907296"}, {"ref": "skooch/cnn-segmentation-connected-components-320x320", "kernel_id": "1544116"}, {"ref": "ellecf/show-image-with-labels", "kernel_id": "1638519"}, {"ref": "maxjeblick/keras-competition-metric-for-segmentation", "kernel_id": "1683327"}, {"ref": "melodyxyz/notebook", "kernel_id": "1594370"}, {"ref": "gsamuel/xray-image-classification", "kernel_id": "1922326"}, {"ref": "sergeykalutsky/some-data-exploration", "kernel_id": "1533973"}, {"ref": "uds5501/interesting-eda-nodule-analysis", "kernel_id": "1538700"}, {"ref": "uds5501/cnn-segmentation-resnet-depth-5", "kernel_id": "1545882"}, {"ref": "vk14596/getting-started-with-radiography-medical-imaging", "kernel_id": "1536879"}, {"ref": "lyonzy/convert-dicom-images-to-tfrecords", "kernel_id": "1610679"}, {"ref": "rupeshs/cnn-segmentation-connected-components-320x320", "kernel_id": "1604897"}, {"ref": "rupeshs/exploratory-data-analysis-starter", "kernel_id": "1571756"}, {"ref": "robindong/kernelc80cb8aab9", "kernel_id": "1579225"}, {"ref": "yakinrubaiat/yolov3-rsna-starting-notebook", "kernel_id": "1754107"}, {"ref": "yakinrubaiat/retina-net-again", "kernel_id": "1913841"}, {"ref": "chencongai/restnet50-78-acc-for-classfic-to-be-improved", "kernel_id": "1544250"}, {"ref": "tajalagawani/mask-rcnn-sample-starter-model", "kernel_id": "1530819"}, {"ref": "tajalagawani/exploratory-data-analysis-taj-alagawani", "kernel_id": "1527950"}, {"ref": "iampotential/pneumonia", "kernel_id": "1636995"}, {"ref": "aantonova/attempt-of-metric-s-implementation", "kernel_id": "1576074"}, {"ref": "aantonova/practical-eda-on-numerical-data", "kernel_id": "1544883"}, {"ref": "aantonova/analysis-of-train-and-test-predictions", "kernel_id": "1833724"}, {"ref": "victorhz/cnn-segmentation-connected-components", "kernel_id": "1543967"}, {"ref": "tobby18/webnet-on-rsna-2", "kernel_id": "1543960"}, {"ref": "dreamsofbunnies/up-and-running-set-up-eda-and-images-explained", "kernel_id": "1794026"}, {"ref": "seohyeondeok/yolov3-rsna-starting-notebook", "kernel_id": "1713928"}, {"ref": "moshel/nih-pneumonia-subset-with-bbox", "kernel_id": "1625311"}, {"ref": "sanket30/lung-opacity-classification-inceptionv3", "kernel_id": "1529187"}, {"ref": "jaytalati87/mask-rcnn-sample-starter-model", "kernel_id": "1793166"}, {"ref": "cleston/pulm-o-some-images-experiences-with-opencv", "kernel_id": "1825816"}, {"ref": "appian/original-nih-labels-for-this-competition-dataset", "kernel_id": "1863482"}, {"ref": "mayaralfares/rsna-pneumonia-detection-challenge", "kernel_id": "1530670"}, {"ref": "kanwalinder/rsna-bounding-box-extravaganza", "kernel_id": "1597190"}, {"ref": "kanwalinder/rsna-review-inputs", "kernel_id": "1572409"}, {"ref": "kanwalinder/first-pass-analysis", "kernel_id": "1534740"}, {"ref": "kanwalinder/preprocessing-rsna-non-image-inputs", "kernel_id": "1547349"}, {"ref": "kanwalinder/rsna-stage-2-step-1-inputs-preprocessing", "kernel_id": "1955647"}, {"ref": "kanwalinder/rsna-stage-2-anchor-box-analysis", "kernel_id": "1976185"}, {"ref": "thethiele/test1", "kernel_id": "1543516"}, {"ref": "inaamulhaq/initial-eda", "kernel_id": "1587930"}, {"ref": "inaamulhaq/rsna-eda-and-classification-using", "kernel_id": "1627471"}, {"ref": "ridercoach/rsna2018-ridercoach-eda-1", "kernel_id": "1538977"}, {"ref": "akashii99/exploratory-data-analysis-rsna-2018", "kernel_id": "1547418"}, {"ref": "akashii99/exploratory-data-analysis-247d5e", "kernel_id": "1547029"}, {"ref": "dchanana/rnsa-pneumonia-detection", "kernel_id": "1558140"}, {"ref": "ngohgia/simple-data-analysis-and-benchmark-wip", "kernel_id": "1554083"}, {"ref": "flokitheviking/convert-dicom-to-png-colaboratory", "kernel_id": "1959063"}, {"ref": "tayweixuan/kernele1d25bc843", "kernel_id": "1991540"}, {"ref": "abhisheksss/final-rsna-detection-using-advanced-cnn", "kernel_id": "1792318"}, {"ref": "louisemarieporcher/yolov3-predict-vs-reality", "kernel_id": "1985529"}, {"ref": "eduardomineo/lung-segmentation-of-rsna-challenge-data", "kernel_id": "1937119"}, {"ref": "eduardomineo/u-net-lung-segmentation-montgomery-shenzhen", "kernel_id": "1841919"}, {"ref": "kmader/applying-simple-model-to-the-real-competition", "kernel_id": "2099735"}, {"ref": "kmader/from-refresher-course-to-a-real-competition", "kernel_id": "2205708"}, {"ref": "jannesklaas/lung-opacity-classification-starter", "kernel_id": "2001136"}, {"ref": "kripesh/rsna-converting-images-to-arrays", "kernel_id": "2362937"}, {"ref": "sheriytm/get-yagana-s-stage1-2-pdf-kaggle-bug-workaround", "kernel_id": "2005617"}, {"ref": "nikhilpandey360/lung-opacity-classification-transfer-learning", "kernel_id": "2859288"}, {"ref": "shohbek/classification-challenges", "kernel_id": "2770009"}, {"ref": "amanagr/mask-rcnn-coco-object-localisation-prediction", "kernel_id": "2807808"}, {"ref": "jeremydanhuangjiang/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "2617899"}, {"ref": "brayanarrietaalfaro/pneumonia-detection-with-keras", "kernel_id": "2685995"}, {"ref": "ahmadrizky/kernel052ac84f4f", "kernel_id": "2638379"}, {"ref": "heewon/fork-of-test-for-paper-bbc7e3-ef6f56", "kernel_id": "2139333"}, {"ref": "tolparow/pned-project", "kernel_id": "2461097"}, {"ref": "seok436/classification-test", "kernel_id": "3255771"}, {"ref": "liangbinghao/my-mask-rcnn-sample-starter-code", "kernel_id": "3024426"}, {"ref": "jeremydanhuangjiang/u-net-segmentation-connected-components", "kernel_id": "3034625"}, {"ref": "anil777/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "3582245"}, {"ref": "anil777/mask-rcnn-and-coco-transfer-learning-lb-0-1-7183f4", "kernel_id": "3611025"}, {"ref": "anil777/yolov3-rsna-starting-notebook", "kernel_id": "3611027"}, {"ref": "malladiramya/pneumonia-detection", "kernel_id": "3804525"}, {"ref": "malladiramya/cnn-segmentation-connected-components-d05856", "kernel_id": "3799148"}, {"ref": "marcusp489/ml-project-rsna", "kernel_id": "3797645"}, {"ref": "swetha2708/cnn-segmentation-connected-components-5b2dab", "kernel_id": "3804225"}, {"ref": "swetha2708/cnn-segmentation-connected-components-a8d082", "kernel_id": "3803721"}, {"ref": "goliathone/u-net-lung-segmentation-montgomery-shenzhen", "kernel_id": "3549839"}, {"ref": "mrxuehb/rsna-maskrcnn", "kernel_id": "4022440"}, {"ref": "abefukasawa/cnn-segmentation-connected-components", "kernel_id": "4870308"}, {"ref": "iailab/lung-segmentation-of-rsna-challenge-data", "kernel_id": "4280771"}, {"ref": "maliabbas/renset-v1", "kernel_id": "4422901"}, {"ref": "kaggleperson1/rsna-part-2b-u-net-lung-segmentation", "kernel_id": "5508003"}, {"ref": "ankit275/garbage-classification-beginner", "kernel_id": "5025544"}, {"ref": "rikdas/inception-plant-disease", "kernel_id": "5221566"}, {"ref": "halahassouna/rsna-pn-detection", "kernel_id": "6213284"}, {"ref": "shaileshshettyd/pneumonia-detection", "kernel_id": "6249860"}, {"ref": "ayman1997/new-chest-model", "kernel_id": "6149507"}, {"ref": "adairclo/region-proposal-network", "kernel_id": "6319247"}, {"ref": "rajanikant/kernel1873093053", "kernel_id": "7814904"}, {"ref": "sohamxi/fastai-rsna", "kernel_id": "7203569"}, {"ref": "felipelelis/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "7563590"}, {"ref": "rajanikant/fork-of-kernel1873093053", "kernel_id": "8173002"}, {"ref": "kunchum/rsna-pneumonia-detection", "kernel_id": "8320164"}, {"ref": "rashaddism/covid-19-xray-dl", "kernel_id": "8684460"}, {"ref": "chenqb0819/rsna-classifier-starter", "kernel_id": "8247793"}, {"ref": "piyushdixit15/capstone-rsna-pneumonia-detection-using-u-net", "kernel_id": "8100054"}, {"ref": "michtyson/covid-19-xray-dl", "kernel_id": "8442695"}, {"ref": "kraisin/yolov3-rsna-starting-notebook", "kernel_id": "8443063"}, {"ref": "lmnguynl/kernel81e2897107", "kernel_id": "8560529"}, {"ref": "krishrana/redundant", "kernel_id": "8854804"}, {"ref": "mdbadiuzzamanshuvo/u-net-lung-segmentation-kfold", "kernel_id": "8833730"}, {"ref": "surveshchauhan/unet-resnet50-classify", "kernel_id": "9708779"}, {"ref": "ansh18mittal/image-segmentation-using-matterport-mask-r-cnn", "kernel_id": "9642404"}, {"ref": "debashiskhatei/capstone-pnemonia-detection", "kernel_id": "9380037"}, {"ref": "rikdas/covidx-dataset-preparation", "kernel_id": "9704367"}, {"ref": "rikdas/efficientnet-v-7", "kernel_id": "9525552"}, {"ref": "paulsubhankar07/subh-pneu-unet", "kernel_id": "9416498"}, {"ref": "raghwendradey/dlfa-proj-2", "kernel_id": "9437129"}, {"ref": "raghwendradey/resnet-transfer", "kernel_id": "9528319"}, {"ref": "koustubh25tapasvi/pd-scratch", "kernel_id": "9664175"}, {"ref": "koustubh25tapasvi/pneumonia-detection", "kernel_id": "9242372"}, {"ref": "augustinejuly/kernel3091fc106d", "kernel_id": "9376675"}, {"ref": "jphaveri/pneumonia-fastrcnn", "kernel_id": "9640572"}, {"ref": "jphaveri/pneumonia-capstone-milestone-eda-v4", "kernel_id": "9415650"}, {"ref": "jphaveri/pneumonia-capstone-1", "kernel_id": "9392996"}, {"ref": "jphaveri/pneumonia-capstone-cnn-bs16-lr005", "kernel_id": "9837531"}, {"ref": "jphaveri/pneumonia-capstone-cnn-bs32-lr005-img320-depth", "kernel_id": "9860339"}, {"ref": "raviks11/pneumonia-capstone-cnn", "kernel_id": "9785309"}, {"ref": "shaikibrahim/capstone-pneumoniadetection", "kernel_id": "9392950"}, {"ref": "shaikibrahim/capstone-pneumoniadetection-c81172", "kernel_id": "9526597"}, {"ref": "shireensilveira/capstone-pneumoniadetection", "kernel_id": "9469660"}, {"ref": "milaindl/unet-resnet50-classify-v1-0", "kernel_id": "9808360"}, {"ref": "rachit2111/capstone-project-pneumonia-detection", "kernel_id": "9360870"}, {"ref": "omarkhald/rsna-classification-2", "kernel_id": "9102897"}, {"ref": "omarkhald/rsna-classification", "kernel_id": "9102456"}, {"ref": "hichammoujahid/pneumonia-detection-algorithm", "kernel_id": "9363685"}, {"ref": "kiranpatil83/pneumonia-capstone-cnn", "kernel_id": "9511705"}, {"ref": "mittshah/pneumonia-detection", "kernel_id": "9972804"}, {"ref": "mohamednasrahmed/project", "kernel_id": "9016743"}, {"ref": "farhanhaikhan/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "9478998"}, {"ref": "farhanhaikhan/mask-rcnn-sample-starter-code", "kernel_id": "9336625"}, {"ref": "vedanarayanrao/pneumonia-capstone", "kernel_id": "9338487"}, {"ref": "saravanaramalingaraj/pneumonia-capstone-milestone-eda-v5", "kernel_id": "9492885"}, {"ref": "saravanaramalingaraj/pneumonia-capstone-milestone1-v2", "kernel_id": "9515767"}, {"ref": "muskanchauhan/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "9677963"}, {"ref": "alexturdean/lung-opacity-overview", "kernel_id": "9587834"}, {"ref": "shireensilveira2020/capstone-pneumoniadetection", "kernel_id": "9526245"}, {"ref": "santosh4902/rsna-maskrcnn", "kernel_id": "9783396"}, {"ref": "vishwesh5/pgp-aiml", "kernel_id": "10113077"}, {"ref": "surveshchauhan/unet-resnet50-classify-bc68c3", "kernel_id": "10864956"}, {"ref": "madan16/vgg16-model-rsna-pneumonia-detection-challenge", "kernel_id": "10518233"}, {"ref": "madan16/vgg16-relu-madan", "kernel_id": "10838765"}, {"ref": "suryathiru/2-tradition-image-processing-model-training", "kernel_id": "10580174"}, {"ref": "suryathiru/1-tradition-image-processing-feature-extraction", "kernel_id": "10579974"}, {"ref": "abdullahtarek/detection-head-training", "kernel_id": "10235081"}, {"ref": "abdullahtarek/segmentation-notebook", "kernel_id": "10107556"}, {"ref": "abdullahtarek/mtl-training", "kernel_id": "10140631"}, {"ref": "abdullahtarek/detection-training", "kernel_id": "10081198"}, {"ref": "jkashish18/rsna-pneumonia-detection", "kernel_id": "10357112"}, {"ref": "saurav9786/pneumonia-detection", "kernel_id": "10662751"}, {"ref": "mushaya/pneumonia-detection-mask-rcnn", "kernel_id": "10309978"}, {"ref": "mushaya/pneumonia-detection-mask-rcnn-1", "kernel_id": "10419268"}, {"ref": "pratyush1019/fork-of-rsna-kaggle-problem-pneumonia-mask-r-cnn", "kernel_id": "10146205"}, {"ref": "ratnakarsingh/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "10553994"}, {"ref": "ratnakarsingh/vgg19", "kernel_id": "10321442"}, {"ref": "ratnakarsingh/pneumonia-detection-challenge", "kernel_id": "10194214"}, {"ref": "krishkumarv/kernel125428977f", "kernel_id": "10864558"}, {"ref": "krishkumarv/fork-of-kernel6d4512d163", "kernel_id": "10544179"}, {"ref": "akshaylucof/pneumonia-object-recognition-using-mask-rcnn", "kernel_id": "10645731"}, {"ref": "rifatahommed/lung-segmentation-using-transresunet-kfold", "kernel_id": "10372518"}, {"ref": "suryatejach/pneumonia-detection-resnet50-97-accurate", "kernel_id": "10526523"}, {"ref": "mdbadiuzzamanshuvo/lungs-segmentation-using-segnet", "kernel_id": "10386551"}, {"ref": "mdbadiuzzamanshuvo/multiresu-net-lung-segmentation-kfold", "kernel_id": "10272937"}, {"ref": "arijitgupta/pneumoniadetection-v1", "kernel_id": "10974648"}, {"ref": "airh128kil/exploratory-data-analysis", "kernel_id": "10088205"}, {"ref": "richiegupta/richa-s-eda-on-rsna-data", "kernel_id": "10728489"}, {"ref": "manishnema/capstone-v21", "kernel_id": "11443334"}, {"ref": "binusekhar/notebookf43c99b675", "kernel_id": "11521488"}, {"ref": "binusekhar/unet-bs-1", "kernel_id": "11830135"}, {"ref": "rkuo2000/mask-rcnn-rsna-pneumonia", "kernel_id": "11842620"}, {"ref": "murugan425/pneumonia-v4", "kernel_id": "11702940"}, {"ref": "murugan425/pneumonia-v3", "kernel_id": "11667540"}, {"ref": "sovitrath/rsna-pytorch-hackathon-fasterrcnn-resnet-training", "kernel_id": "11100507"}, {"ref": "sovitrath/rsna-pytorch-hackathon-fasterrcnn-resnet-test", "kernel_id": "11100518"}, {"ref": "subodhpushpak/pneumonia-detection", "kernel_id": "11428659"}, {"ref": "subodhpushpak/pneomonia-detection-models", "kernel_id": "11947219"}, {"ref": "subodhpushpak/pneumonia-detection-model", "kernel_id": "11689326"}, {"ref": "tapanjain/aiml-grp-5-pneumonia-detection", "kernel_id": "11589762"}, {"ref": "rifatahommed/lung-segmentation-using-keras-transcgunet-kfold", "kernel_id": "11365894"}, {"ref": "rifatahommed/imptransresunet-lung-segmentation-kfold", "kernel_id": "11337306"}, {"ref": "ganeshsurya/rsna-pneumonia-detection-ipyn", "kernel_id": "11590301"}, {"ref": "siddharthakumar001/capstone", "kernel_id": "11669419"}, {"ref": "fzxhhhhhh/longan2blueberry", "kernel_id": "11052461"}, {"ref": "tbui001/lung-opacity-classification-densenet", "kernel_id": "12037275"}, {"ref": "tbui001/lung-opacity-classification-maskrcnn", "kernel_id": "12926265"}, {"ref": "abdullahtarek/mtl-with-report-gen", "kernel_id": "12629292"}, {"ref": "je0102/rsna-pneumionia-detection", "kernel_id": "12213716"}, {"ref": "je0102/rsna-pneumionia-detection-v-2", "kernel_id": "12234725"}, {"ref": "yashmaurya/exploratory-data-analysis", "kernel_id": "12503066"}, {"ref": "siddharthakumar001/pneomonia-detection-models", "kernel_id": "12028509"}, {"ref": "karthikvellaiswamy/pneumonia-detection-eda", "kernel_id": "12036688"}, {"ref": "vigneshpoorani/vignesh-capstone-proj-notebook", "kernel_id": "12072306"}, {"ref": "alincijov/pneumonia-resnet-pytorch", "kernel_id": "12709326"}, {"ref": "pritipushpak/pneomonia-detection-models", "kernel_id": "12055250"}, {"ref": "surendra483492/sss-think-ai-project-model", "kernel_id": "13241406"}, {"ref": "rajeevsharma7/raj-some-data-exploration", "kernel_id": "13326605"}, {"ref": "alexandreleboucher/maskrcnn-alex", "kernel_id": "13532574"}, {"ref": "thomaswpp/autoenconders", "kernel_id": "13042565"}, {"ref": "rafabenevente/convautoencoder-v3", "kernel_id": "13198448"}, {"ref": "saleke10/i2a2-anomaly-autoencoder", "kernel_id": "13385625"}, {"ref": "saleke10/notebook-desafio5-rsna2018-autoencoder-mse", "kernel_id": "13241600"}, {"ref": "razzaz/u-net", "kernel_id": "14174834"}, {"ref": "condados/lung-opacity-overview", "kernel_id": "14763746"}, {"ref": "condados/first-try-with-pneumonia-challenge", "kernel_id": "14743957"}, {"ref": "habibmrad1983/exploratory-data-analysis", "kernel_id": "15250129"}, {"ref": "habibmrad1983/lung-opacity-overview", "kernel_id": "15284889"}, {"ref": "habibmrad1983/cnn-segmentation-connected-components", "kernel_id": "15308021"}, {"ref": "lostbox/rsna-classification-87-6-best-accuracy-p-cda585", "kernel_id": "15964435"}, {"ref": "glenbradlov/train-maskrcnn", "kernel_id": "15126541"}, {"ref": "nonclassical/exploratory-data-analysis", "kernel_id": "16772014"}, {"ref": "ruchika93/pneumonia-detection-for-gl", "kernel_id": "16966553"}, {"ref": "funkyfog/fork-of-notebook-neumon-a", "kernel_id": "16248484"}, {"ref": "funkyfog/fork-of-notebook-neumon-a-c17f21", "kernel_id": "16525876"}, {"ref": "james00junior/rsna-pneumonia-tensornetworks", "kernel_id": "16729501"}, {"ref": "siddhartha91/pneumoniadetection", "kernel_id": "16853046"}, {"ref": "klikli/orthogonal-cnn-implementation", "kernel_id": "16599125"}, {"ref": "ashokkumar071994/rsna-pneumonia-detection-chalenge", "kernel_id": "16165107"}, {"ref": "afonsouesleifonseca/u-net-lung-segmentation-covid", "kernel_id": "16374807"}, {"ref": "srisac/transforming-data", "kernel_id": "16380473"}, {"ref": "srisac/transfer-learning-cnn", "kernel_id": "16601376"}, {"ref": "srisac/transformdatakaggle", "kernel_id": "16597970"}, {"ref": "bathidoddi/unet-vgg16-object-detection-rsna-pneumonia", "kernel_id": "16702240"}, {"ref": "winner001/resnet101-fer2013", "kernel_id": "16695917"}, {"ref": "ganksaksena/mrigank-temp", "kernel_id": "16610191"}, {"ref": "antoreepjana/custom-training-object-detection-models", "kernel_id": "16520507"}, {"ref": "iamsunildhillon/pneumonia-detection-using-x-ray", "kernel_id": "16073761"}, {"ref": "nazeernazeer/pneumonia-capstone-proj", "kernel_id": "17897310"}, {"ref": "bathidoddi/object-detection-maskrcnn-rsna-pneumonia", "kernel_id": "17309506"}, {"ref": "bathidoddi/mask-rcnn-pneumonia-detection", "kernel_id": "17004916"}, {"ref": "shaygreen/darknet-yolov3-siim-covid19", "kernel_id": "17641762"}, {"ref": "hengyuu/1-fetures", "kernel_id": "17986740"}, {"ref": "redude/notebook1", "kernel_id": "17671836"}, {"ref": "sakib01/rsna-on-yolov5", "kernel_id": "18549583"}, {"ref": "nazeernazeer/rsna-pytorch-hackathon-fasterrcnn-resnet-test", "kernel_id": "18449910"}, {"ref": "gouravrastogi/capstone-1-unet-mobilenet", "kernel_id": "18823804"}, {"ref": "rifatahommed/pneumonia-detection-cnl-unet", "kernel_id": "18464439"}, {"ref": "rifatahommed/lungs-prediction-imptransresunet", "kernel_id": "18545459"}, {"ref": "rifatahommed/chest-x-ray-view-classification-pa-ap", "kernel_id": "18321651"}, {"ref": "aranza1972/aranza-covid-siim-1", "kernel_id": "18766491"}, {"ref": "thihongnhn/pneumonia-detection-resnet50-97-accurate", "kernel_id": "18280550"}, {"ref": "danielbozinovski/p0-exploratory-data-analysis", "kernel_id": "18971064"}, {"ref": "danielbozinovski/p1-feature-extraction-for-standard-models", "kernel_id": "18820789"}, {"ref": "danielbozinovski/p2-modelling-pneumonia-standard-models", "kernel_id": "18834720"}, {"ref": "danielbozinovski/p3-modelling-pneumonia-neural-networks", "kernel_id": "18793223"}, {"ref": "leakoil/siim-fasterrcnn", "kernel_id": "18557240"}, {"ref": "portgasray/explainable-covid-19-data-collection-eda", "kernel_id": "19863706"}, {"ref": "gouravrastogi/capstone-3-vgg16", "kernel_id": "20319337"}, {"ref": "gouravrastogi/capstone-2-unet-resnet", "kernel_id": "20014727"}, {"ref": "vdv992/capstone-mask-rcnn-object-detection", "kernel_id": "20110567"}, {"ref": "dharamdba/pneumoniadetection-eda", "kernel_id": "20184795"}, {"ref": "dharamdba/pneumoniadetection-cnn", "kernel_id": "20205418"}, {"ref": "dharamdba/dp-basicunet-i64-b64-e6", "kernel_id": "20533148"}, {"ref": "dharamdba/cp-eda-visualization", "kernel_id": "20301842"}, {"ref": "dharamdba/cp-model", "kernel_id": "20301846"}, {"ref": "gopikakumar/eda-milestone-1-pneumonia-detection", "kernel_id": "20432085"}, {"ref": "gopikakumar/eda-milestone-1-pneumonia-detection-1", "kernel_id": "20475146"}, {"ref": "devvemuri/cv1-mask-rcnn-object-detection", "kernel_id": "20306878"}, {"ref": "anastasiiaselezen/rsna-pneumonia-detection-challenge", "kernel_id": "21879160"}, {"ref": "nguyenhoainam27/densenet121-rsna-abnormal-classifier", "kernel_id": "21927257"}, {"ref": "vijadhav/rsna-with-u-net", "kernel_id": "21980930"}, {"ref": "vijadhav/rsna-with-unet", "kernel_id": "21933831"}, {"ref": "harsh2040/mask-rcnn-and-coco-try", "kernel_id": "22230837"}, {"ref": "silverblue/heart-detection", "kernel_id": "22824991"}, {"ref": "silverblue/pneumonia-classification", "kernel_id": "22424194"}, {"ref": "erikgasparini/deal-with-dataframe", "kernel_id": "22904193"}, {"ref": "amkarimiforood/cxr-transfer-learning-6423b2", "kernel_id": "22520363"}, {"ref": "liuyimei/mask-rcnn-try", "kernel_id": "22715096"}, {"ref": "daishwary/eda-and-data", "kernel_id": "23888001"}, {"ref": "sakib01/test-rsna-on-yolov5-flexible", "kernel_id": "23468051"}, {"ref": "oscar30955/notebook87f1011b52", "kernel_id": "23100094"}, {"ref": "askarimehdi/capstone-cv-2-pneumonia-detection-challenge", "kernel_id": "24929007"}, {"ref": "paddytheprogrammer/pytorch-rsna-pneumonia", "kernel_id": "24265373"}, {"ref": "shivanir23/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "24572722"}, {"ref": "ohilong/lung-opacity-classification-transfer-learnings", "kernel_id": "24757462"}, {"ref": "prilia/lung-opacity-classification-mytests123", "kernel_id": "25771628"}, {"ref": "dangvanthuc0209/mask-rcnn", "kernel_id": "25309046"}, {"ref": "dangvanthuc0209/rsna-maskrcnn", "kernel_id": "25307841"}, {"ref": "mohamedalaa42017/rsna-pneumonia", "kernel_id": "25234913"}, {"ref": "lifelesson/pneumonia-detection-capstone-project", "kernel_id": "25955954"}, {"ref": "shivanir23/mask-rcnn-coco-res101-tl-ep15-lr", "kernel_id": "25000348"}, {"ref": "tanushrikumar/mask-rcnn-and-coco-transfer-learning-lb-0-1-852c59", "kernel_id": "25058756"}, {"ref": "pellegreene/fl-project", "kernel_id": "25411522"}, {"ref": "mariappangk/notebook4ea8070794", "kernel_id": "26761941"}, {"ref": "aashrithaladi/notebookf60faf7241", "kernel_id": "26122681"}, {"ref": "manikantagoli/notebookf60faf7241", "kernel_id": "26149662"}, {"ref": "manikantagoli/notebookf60faf7241-6eb8df", "kernel_id": "26149663"}, {"ref": "manikantagoli/notebookf60faf7241-645d87", "kernel_id": "26149665"}, {"ref": "sidrage/pneumonia-detection-mask-rcnn-transfer-learning", "kernel_id": "27651137"}, {"ref": "nextroot/converting-dicoms-to-jpeg", "kernel_id": "27524040"}, {"ref": "ashishtiwari98/object-detection-maskrcnn-rsna-pneumonia", "kernel_id": "28444500"}, {"ref": "rahulssr/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "28514185"}, {"ref": "prabhjotsingh3/notebook8f85df943b", "kernel_id": "28039699"}, {"ref": "crissw/rsna-classification-87-6-best-accuracy-pytorch", "kernel_id": "28507640"}, {"ref": "geetanjali21/pneumonia-detection-challenge", "kernel_id": "29187357"}, {"ref": "disha9500/dj-pneumonia", "kernel_id": "29180767"}, {"ref": "tomasfilip/r-cnn-pneumonia-detection", "kernel_id": "29357907"}, {"ref": "rajasreerajamohanan/yolov3-rsna-starting-notebook", "kernel_id": "29677624"}, {"ref": "tokgocloud/siimm", "kernel_id": "29211952"}, {"ref": "tokgocloud/siimmmm", "kernel_id": "29616987"}, {"ref": "sabarinathan/aiml-capstone-project-v4", "kernel_id": "30382140"}, {"ref": "dapuvv/capstone-pneumonia-detection-divya", "kernel_id": "30157769"}, {"ref": "gsharath/capstone-pneumonia-detection", "kernel_id": "30036452"}, {"ref": "laibifan/cnn-segmentation-connected-components", "kernel_id": "30696183"}, {"ref": "jagadishhadimani/capstone-project", "kernel_id": "31003005"}, {"ref": "urashimataro/pneumonia-diagnosis-and-segmentation-usingyolov7", "kernel_id": "31484729"}, {"ref": "younesselbrag/penumonia-classification-multi-gpu-torch-lighting", "kernel_id": "32402274"}, {"ref": "younesselbrag/cardiac-detection-peunomian-bounding-box-corrds", "kernel_id": "32678408"}, {"ref": "priyam22/priyam-r-cnn-pneumonia-detection", "kernel_id": "32277805"}, {"ref": "rahultheogre/mask-rcnn-on-rsna-pneumonia", "kernel_id": "32408669"}, {"ref": "rahultheogre/rsna-pneumonia-detection-with-cnn", "kernel_id": "32509542"}, {"ref": "rahultheogre/rsna-pneumonia-detection-eda", "kernel_id": "32084916"}, {"ref": "rahultheogre/pneumonia-detection-with-cnn-basic", "kernel_id": "32712511"}, {"ref": "khurramafroz/what-are-lung-opacities", "kernel_id": "32160664"}, {"ref": "mb16biswas/ensemble-of-updated-unets", "kernel_id": "33191230"}, {"ref": "hadeelalbasheer/notebookd632e6f559", "kernel_id": "33871736"}, {"ref": "rohan2003/pneumonia-classification", "kernel_id": "33893560"}, {"ref": "jryoungw/unet-pneumonia-seg", "kernel_id": "34126438"}, {"ref": "johnsonchishimba/eda-of-pnuemonia-opacity-cases", "kernel_id": "34729413"}, {"ref": "bodiijhjhbn/pneumonia-detection-resnet50-97-accurate", "kernel_id": "35311254"}, {"ref": "venugopalasrinivasa/pneumonia-detection", "kernel_id": "35258269"}, {"ref": "pranavskoundinya/cv-pneumonia", "kernel_id": "35798962"}, {"ref": "score42/object-detection-maskrcnn-rsna-pneumonia", "kernel_id": "36534415"}, {"ref": "score42/cnn-rsna-pneumonia-detection", "kernel_id": "36439420"}, {"ref": "codebond/pytorch-approach-for-pneumonia-classification", "kernel_id": "36429857"}, {"ref": "zzamanasad359/pneumonia-detection-using-mask-rcnn-and-coco", "kernel_id": "36872464"}, {"ref": "adrianfarr/semesteroppgave-phys212-2-0", "kernel_id": "36669295"}, {"ref": "aryaaherrao31/epoch-validation-lung", "kernel_id": "36962303"}, {"ref": "mamun18/rsna-pneumonia-detection-with-pytorch-lightning", "kernel_id": "37111173"}, {"ref": "rodionshkokov/pneumonia-detection", "kernel_id": "37322304"}, {"ref": "youksarelothrik/lab3rcnn", "kernel_id": "37770025"}, {"ref": "raghulpk007/pneumonia-dataset-eda", "kernel_id": "37954443"}, {"ref": "christofel04/tuning-anchor-box-for-pneumonia-patien-detection", "kernel_id": "38625766"}, {"ref": "romanderunets/mmdetection", "kernel_id": "38256001"}, {"ref": "mridulsharma888888/resnet18", "kernel_id": "38228655"}, {"ref": "ngtunglam/notebookd65b00d40d", "kernel_id": "38617753"}, {"ref": "ahmedhisham73/rsenet18", "kernel_id": "39603367"}, {"ref": "dmitrysirenchenko/pneumonia-classification-fine-tuning-resnet-83-3", "kernel_id": "39929587"}, {"ref": "collinsakal/rsna-pneumonia-eda", "kernel_id": "39411366"}, {"ref": "rasoulisaeid/heart-detection-pytorch", "kernel_id": "39551617"}, {"ref": "ankitsharma0401/capstone-project-part-1-with-resnet50-model", "kernel_id": "39116681"}, {"ref": "ankitsharma0401/capstone-project-1", "kernel_id": "39155714"}, {"ref": "neodecade/pneumoniadetection-resnet50", "kernel_id": "40086379"}, {"ref": "numbrami/classification-task-on-rsna-pneumonia", "kernel_id": "40527111"}, {"ref": "mohammedplabon/pneumonia-on-yolov8", "kernel_id": "41148296"}, {"ref": "mohammedplabon/pneumonia-classification-densenet121", "kernel_id": "41396877"}, {"ref": "mohammedplabon/pneumonia-classification-resnet", "kernel_id": "42230144"}, {"ref": "mohammedplabon/rsna-pneumonia-detection-u-net", "kernel_id": "42168239"}, {"ref": "randombaucha/retinanet-1", "kernel_id": "42809204"}, {"ref": "himanshukumar7079/rsna-pneumonia-detection", "kernel_id": "42221424"}, {"ref": "anuragdw/pneumonia-detection-with-pytorch-lightning", "kernel_id": "43869866"}, {"ref": "madheshloganathan/mask-rcnn-sample-code", "kernel_id": "45741253"}, {"ref": "sahilsheikh/notebookfb8cd7a436", "kernel_id": "46203641"}, {"ref": "kooaslansefat/pneumonia-detection-using-resnet", "kernel_id": "47827077"}, {"ref": "hoangbui/rsna-pneumonia-detection", "kernel_id": "47250295"}, {"ref": "hoangbui/cnn-rsna-pneumonia-detection", "kernel_id": "47653128"}, {"ref": "mirasnurkin/rsna-ml", "kernel_id": "47196070"}, {"ref": "mohdirfan57/pneumonia-classification-with-cnn-resnet18", "kernel_id": "47333349"}, {"ref": "sakurasakura12345/cnn-rsna-pneumonia-detection2", "kernel_id": "47654106"}, {"ref": "malaizyogmuzumala/emi-detection-model-mrcnn-and-coco", "kernel_id": "47137497"}, {"ref": "jitsun/rsna-fasterrcnn-resnet", "kernel_id": "47912552"}, {"ref": "hoangbui/cnn-segmentation-connected-components", "kernel_id": "48186035"}, {"ref": "anannoasif/rsna-pneumonia", "kernel_id": "49993361"}, {"ref": "asekol/pneumonia-classification-fine-tuning-resnet-83-3", "kernel_id": "50596172"}, {"ref": "asekol/rsna-pneumonia-detection-cnn-capstone-9", "kernel_id": "50571535"}, {"ref": "sethivansh6/mask-rcnn-logo-training", "kernel_id": "50024997"}, {"ref": "vladivashchuk/yolo8-detection-with-submission", "kernel_id": "50577842"}, {"ref": "piterrudyy/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "50739220"}, {"ref": "victoriaportnayaaa/hackathon", "kernel_id": "50640287"}, {"ref": "taraskolesnyk/rsna-pneumonia-int20h-a6473d", "kernel_id": "50641121"}, {"ref": "vladislav573/pneumonia-cv-yolo", "kernel_id": "50520307"}, {"ref": "yuriiholovko/pneumonia", "kernel_id": "50784036"}, {"ref": "kayuchks/mask-rcnn-and-coco-final-version", "kernel_id": "50779954"}, {"ref": "kayuchks/interference", "kernel_id": "50784547"}, {"ref": "kayuchks/rsna-rcnn", "kernel_id": "50713448"}, {"ref": "mehmetkaangenc/customdata-01", "kernel_id": "51657646"}, {"ref": "andriankr/yolov8-rsna-pneumonia-detection", "kernel_id": "51167500"}, {"ref": "dantheshark/rsna-pneumonia-detection-challenge", "kernel_id": "52551585"}, {"ref": "sakib01/ds-assignment-4b-c-final-course-project", "kernel_id": "53484099"}, {"ref": "carljvh/rsna-pneumonia-fastai-v2-cam", "kernel_id": "53144698"}, {"ref": "carljvh/rsna-pneumonia-with-fastai2-medical-vision-library", "kernel_id": "53136648"}, {"ref": "leekayn/object-detection-maskrcnn-rsna-pneumonia", "kernel_id": "53006341"}, {"ref": "ayanvishwakarma/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "56360934"}, {"ref": "ayanvishwakarma/lung-opacity-classification-using-densenet-121", "kernel_id": "56332865"}, {"ref": "nisargvaghela2001/mask-rcnn-and-coco-transfer-learning-lb-0-155", "kernel_id": "56318491"}, {"ref": "nisargvaghela2001/cnn-segmentation-connected-components", "kernel_id": "56248680"}, {"ref": "goumanguyen/object-detection-maskrcnn-rsna-pneumonia", "kernel_id": "56562437"}, {"ref": "callmeahab/chexnet-radiologist-level-pneumonia-detection", "kernel_id": "56723926"}, {"ref": "chanchal24/pneumonia-detections-using-deep-learning", "kernel_id": "58299374"}, {"ref": "neilthoratbtech2022/pneumonia-classification", "kernel_id": "60313003"}, {"ref": "ahmedmostafaelsayed/pneumonia-trans-learning-data-aug-fine-tuning", "kernel_id": "61738943"}, {"ref": "tungnt5/x-ray-preprocess", "kernel_id": "62200337"}, {"ref": "tungnt5/preprocessing", "kernel_id": "62333973"}, {"ref": "sujaljoshi10/majorproject", "kernel_id": "65965316"}, {"ref": "ermina/notebook2b659bc106", "kernel_id": "65499470"}, {"ref": "tany1404/data-overview", "kernel_id": "67985675"}, {"ref": "wanchentsai/rsna-cxr-pneumonia-classification", "kernel_id": "67952648"}, {"ref": "amlaith/notebooka585c1d8e8", "kernel_id": "69029892"}, {"ref": "iamtapendu/lungs-segmentation-using-u-net-architecture", "kernel_id": "69939319"}, {"ref": "iamtapendu/pneumonia-detection-resnet-50", "kernel_id": "70144968"}, {"ref": "trisha500/pneumonia-detection-resnet-50", "kernel_id": "70689188"}, {"ref": "itsgucci106/lungs-segmentation-using-u-net-architecture", "kernel_id": "70046552"}, {"ref": "pastorsoto/pneumonia-detection-data-augmentation", "kernel_id": "71351760"}, {"ref": "zyh1104/048-rsna-pneumonia-detection-challenge", "kernel_id": "71900085"}, {"ref": "sagorkumarmitra/medical-image-classification-with-pytorch", "kernel_id": "72322878"}, {"ref": "haidermohsin420/chest-x-ray-classification-cnn-vgg19", "kernel_id": "73412155"}, {"ref": "hsiangyuwang0129/finalproject", "kernel_id": "73609257"}, {"ref": "samirkarkeee/notebook27e5d88a21", "kernel_id": "73710680"}, {"ref": "hsiangyuwang0129/fast-r-cnn", "kernel_id": "74193680"}, {"ref": "woooood/finalproject-6000", "kernel_id": "74126739"}, {"ref": "toby0928/fast-r-cnn", "kernel_id": "74269276"}, {"ref": "yadavdamodar/u-net-lung-segmentation-montgomery-shenzhen", "kernel_id": "75498185"}, {"ref": "bharadwajrachakonda/yolo8-mini", "kernel_id": "77025223"}, {"ref": "flypigff/rsna-by-zzf", "kernel_id": "79547921"}, {"ref": "kazbekzhanzhigitov/rsna-resnet-34", "kernel_id": "80851179"}, {"ref": "samkaggle2025/pneumonia-detection-sd3", "kernel_id": "80323588"}, {"ref": "syedaliraza99/pneumonia-detection", "kernel_id": "80512787"}, {"ref": "aminahdata/resnet-rsna-pneumonia-classification", "kernel_id": "80281603"}, {"ref": "nisagkdemir/lenet5", "kernel_id": "81990714"}, {"ref": "gaoyang142/dcm-training", "kernel_id": "81327986"}, {"ref": "jeetrachwani/final-piece", "kernel_id": "81776380"}, {"ref": "yossifemad/finalproject-6000", "kernel_id": "82050576"}, {"ref": "gaoyang142/dcm-extract-the-feature-map", "kernel_id": "82143193"}, {"ref": "gaoyang142/dcm-full-map-vs-feature-map", "kernel_id": "82604123"}, {"ref": "phillipssempeebwa/interpretable-yolov8-tb-detection-localization-cxr", "kernel_id": "83787568"}, {"ref": "talalmohiuddin/pneumonia-detections-using-deep-learning", "kernel_id": "83654746"}, {"ref": "nisagkdemir/alexnet2", "kernel_id": "83744471"}, {"ref": "alisherrakhimov1/pneumonia-detection-eda", "kernel_id": "83386796"}, {"ref": "shubhamd13/fasterrcnn", "kernel_id": "84789569"}, {"ref": "piotrsieski/cnn-segmentation-connected-components", "kernel_id": "84427222"}, {"ref": "nisagkdemir/vgg16-v2", "kernel_id": "84366651"}, {"ref": "jeon0w0o/rsna222", "kernel_id": "84452984"}, {"ref": "sebastianles/cnn-segmentation-connected-components", "kernel_id": "84504303"}, {"ref": "sebastianles/cnn-segmentation-connected-components-0ab342", "kernel_id": "84904645"}, {"ref": "huwzpf1/cnn-segmentation-connected-components", "kernel_id": "84836638"}, {"ref": "muhammadridhohidayat/segmentasi-unet", "kernel_id": "85475161"}, {"ref": "kadermohideenfasid/pneumonia-resnet-image-classifier", "kernel_id": "85690148"}, {"ref": "officialsatyamtiwari/u-net-for-image-segmentation", "kernel_id": "86343743"}, {"ref": "officialsatyamtiwari/u-net-for-pneumonia-segmentation-cleaned-code", "kernel_id": "86350844"}, {"ref": "kolatimidavid/hyper-vgg16-random-batch-size", "kernel_id": "86926028"}, {"ref": "asutoshprad/notebookeaa524e825", "kernel_id": "86320511"}, {"ref": "alanawangmunuk/pinggu", "kernel_id": "86088365"}, {"ref": "alanawangmunuk/my-pneumonia-gan", "kernel_id": "86083530"}, {"ref": "littlemi0056/heomk", "kernel_id": "86201205"}, {"ref": "yasamanmohammadpour/pneumoniadetectionnotebook", "kernel_id": "86691420"}, {"ref": "olukolatimidavid/4fat-lr-bs-dr-ep-resnet50-random", "kernel_id": "87960577"}, {"ref": "olukolatimidavid/4fat-lr-bs-dr-ep-resnet50-bayesian", "kernel_id": "87960580"}, {"ref": "olukolatimidavid/ofat-ep-vgg16", "kernel_id": "87714311"}, {"ref": "olukolatimidavid/ofat-ep-mobilenetv2", "kernel_id": "87727433"}, {"ref": "olukolatimidavid/ofat-ep-resnet50", "kernel_id": "87727697"}, {"ref": "olukolatimidavid/ofat-ep-inceptionv3", "kernel_id": "87743069"}, {"ref": "olukolatimidavid/ofat-dr-inceptionv3", "kernel_id": "87743152"}, {"ref": "kolatimisimi/2fat-lr-dr-vgg16", "kernel_id": "87868808"}, {"ref": "kolatimisimi/2fat-lr-opt-vgg16", "kernel_id": "87868893"}, {"ref": "kolatimisimi/5fat-all-factors-vgg16-bayesian", "kernel_id": "87852114"}, {"ref": "kolatimisimi/3fat-lr-ep-opt-vgg16-bayesian", "kernel_id": "87850358"}, {"ref": "kolatimisimi/5fat-all-factors-vgg16-random", "kernel_id": "87850665"}, {"ref": "kolatimisimi/3fat-lr-ep-opt-vgg16-random", "kernel_id": "87849370"}, {"ref": "kolatimisimi/3fat-lr-bs-dr-vgg16-random", "kernel_id": "87806435"}, {"ref": "kolatimisimi/3fat-lr-bs-dr-vgg16-bayesian", "kernel_id": "87806518"}, {"ref": "kolatimisimi/3fat-dr-ep-opt-vgg16-random", "kernel_id": "87806080"}, {"ref": "kolatimisimi/3fat-dr-ep-opt-vgg16-bayesian", "kernel_id": "87806231"}, {"ref": "kolatimiolu/4fat-lr-bs-ep-opt-resnet50-bayesian", "kernel_id": "87960742"}, {"ref": "kolatimiolu/4fat-lr-bs-ep-opt-resnet50-random", "kernel_id": "87960745"}, {"ref": "kolatimidavid/ofat-bs-vgg16", "kernel_id": "87701621"}, {"ref": "kolatimidavid/ofat-dr-vgg16", "kernel_id": "87712131"}, {"ref": "kolatimidavid/ofat-lr-vgg16", "kernel_id": "87711697"}, {"ref": "kolatimidavid/2fat-bs-ep-vgg16", "kernel_id": "87716496"}, {"ref": "kolatimidavid/ofat-bs-inceptionv3", "kernel_id": "87742966"}, {"ref": "kolatimidavid/ofat-lr-inceptionv3", "kernel_id": "87743004"}, {"ref": "kolatimidavid/ofat-opt-inceptionv3", "kernel_id": "87742756"}, {"ref": "kolatimidavid/ofat-lr-mobilenetv2", "kernel_id": "87726963"}, {"ref": "kolatimidavid/ofat-dr-mobilenetv2", "kernel_id": "87726989"}, {"ref": "kolatimidavid/ofat-opt-mobilenetv2", "kernel_id": "87726773"}, {"ref": "kolatimidavid/ofat-lr-resnet50", "kernel_id": "87728032"}, {"ref": "kolatimidavid/single-hyperparameter-exploration-architecture", "kernel_id": "87728089"}, {"ref": "kolatimidavid/ofat-dr-resnet50", "kernel_id": "87728352"}, {"ref": "kolatimidavid/ofat-opt-resnet50", "kernel_id": "87728355"}, {"ref": "kolatimidavid/ofat-bs-mobilenet", "kernel_id": "87720249"}, {"ref": "kolatimidavid/4fat-lr-bs-ep-opt-vgg16-random", "kernel_id": "87805436"}, {"ref": "kolatimidavid/4fat-lr-bs-ep-opt-vgg16-bayesian", "kernel_id": "87805513"}, {"ref": "kolatimidavid/2fat-bs-opt-vgg16", "kernel_id": "87804096"}, {"ref": "kolatimidavid/2fat-lr-dr-vgg16", "kernel_id": "87804718"}, {"ref": "kolatimidavid/2fat-lr-opt-vgg16", "kernel_id": "87804796"}, {"ref": "kolatimidavid/4fat-lr-bs-dr-ep-vgg16-random", "kernel_id": "87804890"}, {"ref": "kolatimidavid/multi-factor-exploration-architecture", "kernel_id": "87804411"}, {"ref": "kolatimidavid/2fat-lr-bs-vgg16", "kernel_id": "87804540"}, {"ref": "kolatimidavid/4fat-lr-bs-dr-ep-vgg16-bayesian", "kernel_id": "87805046"}, {"ref": "kolatimidavid/ofat-dr-inceptionv3", "kernel_id": "87879158"}, {"ref": "kolatimidavid/hyper-vgg16-batch-random", "kernel_id": "87225273"}, {"ref": "daveolukolatimi63/3fat-lr-bs-dr-vgg16-random", "kernel_id": "87870036"}, {"ref": "daveolukolatimi63/3fat-lr-bs-dr-vgg16-bayesian", "kernel_id": "87869898"}, {"ref": "dhimanth/hyper-vgg16-random-batch-size", "kernel_id": "87617955"}, {"ref": "shivanshu23o9/pneumonia-detection-efficientnetv2m", "kernel_id": "87163503"}, {"ref": "shivanshu23o9/pneumonia-detection-efficientnetv2b3-v-1", "kernel_id": "87153278"}, {"ref": "oladotunkola/3fat-lr-ep-opt-vgg16-bayesian", "kernel_id": "87870781"}, {"ref": "oladotunkola/3fat-lr-ep-opt-vgg16-random", "kernel_id": "87870904"}, {"ref": "sezginkyle/rsna-pneumonia-detection-torch", "kernel_id": "87419404"}, {"ref": "tomot222/notebook-resnet50", "kernel_id": "87390749"}, {"ref": "tomot222/experiment1-2-copy-edit-improve", "kernel_id": "87183241"}, {"ref": "tomot222/experiment1-resnet50-classweight", "kernel_id": "87011594"}, {"ref": "falcon8810/notebookcopy", "kernel_id": "87259133"}, {"ref": "kolatimiola/4fat-lr-bs-ep-opt-mobilenetv2-bayesian", "kernel_id": "87961598"}, {"ref": "kolatimiola/4fat-lr-bs-ep-opt-mobilenetv2-random", "kernel_id": "87961628"}, {"ref": "kolatimiola/5fat-all-factors-vgg16-bayesian", "kernel_id": "87871627"}, {"ref": "kolatimiola/5fat-all-factors-vgg16-random", "kernel_id": "87871804"}, {"ref": "davidolukolatimi/3fat-dr-ep-opt-vgg16-random", "kernel_id": "87870581"}, {"ref": "davidolukolatimi/3fat-dr-ep-opt-vgg16-bayesian", "kernel_id": "87870494"}, {"ref": "kolatimiolu/4fat-lr-bs-ep-opt-inceptionv3-random", "kernel_id": "88401394"}, {"ref": "baskarkumarlaligonda/rsna-pneumonia-detection-v1", "kernel_id": "88644247"}, {"ref": "stpeteishii/rsna-bbox-regression-for-pna-detection", "kernel_id": "89119842"}, {"ref": "romannohan0011/nohan", "kernel_id": "89325817"}, {"ref": "muichimon/interpretability", "kernel_id": "89310974"}, {"ref": "chabdullah31222/lungs-diseases", "kernel_id": "92696489"}, {"ref": "ibrahimhany202200518/ibrahim-notebook", "kernel_id": "94254959"}, {"ref": "harshitagupta1523/xai-part2", "kernel_id": "96095656"}, {"ref": "sachinrj/ssl-medical-imaging", "kernel_id": "97561036"}, {"ref": "alirezajavadi/ssd-exercise", "kernel_id": "101907966"}, {"ref": "viveknainwal/chestpneumoniaexact", "kernel_id": "102890891"}, {"ref": "sardarsab/rsa-pneumonia-detection-system", "kernel_id": "102240659"}, {"ref": "lakshmideepakravuri/u-net-lung-segmentation", "kernel_id": "103066355"}, {"ref": "protikbiswas47/detronkaggle", "kernel_id": "104788606"}, {"ref": "assemelqirsh/pneumonia-detection-resnet-50", "kernel_id": "106789450"}, {"ref": "shahharshsachin/pneumonia-detection-resnet-50", "kernel_id": "106378341"}, {"ref": "muichimon/deit-rsna-pneumonia-ipynb", "kernel_id": "106792049"}, {"ref": "muichimon/resnet50-rsna-pneumonia-ipynb", "kernel_id": "106575400"}, {"ref": "jadhavrajveer/vit-rsna-pneumonia-ipynb", "kernel_id": "106491480"}, {"ref": "jadhavrajveer/dataloader-efficiency-study-rsna-pneumonia-ipynb", "kernel_id": "106879812"}, {"ref": "ashiishpndey/notebooke33231ad1b", "kernel_id": "106919375"}, {"ref": "ashiishpndey/notebookeb41faf373", "kernel_id": "106934606"}, {"ref": "longphmnguynhi/covidx-cxr-dataset", "kernel_id": "106759188"}, {"ref": "jessie0101/u-net-lung-segmentation-montgomery-shenzhen", "kernel_id": "106024074"}, {"ref": "tomaszslapczynski/1medgemma-agent-autonomous-radiology-fhir-int", "kernel_id": "107208371"}, {"ref": "sanidhyavijay24/medgemma-1-5-longitudinal-x-ray-analysis", "kernel_id": "107079752"}, {"ref": "muichimon/regnety-rsna-pneumonia-ipynb", "kernel_id": "107627458"}, {"ref": "muichimon/swin-rsna-pneumonia-ipynb", "kernel_id": "107537360"}, {"ref": "ryanneoys/notebook69182e3070", "kernel_id": "107169957"}, {"ref": "tomaszslapczynski/2medgemma-agent-autonomous-radiology-f", "kernel_id": "109833946"}, {"ref": "adiida404/dinov2-vit-b-14-knn-on-rsna-1", "kernel_id": "110214262"}, {"ref": "anushka021/notebook4f31f61621", "kernel_id": "110615687"}, {"ref": "phmduyanh16/u-net-lung-segmentation-montgomery-shenzhen", "kernel_id": "110051707"}, {"ref": "somritachatterjee/model-efficientnetb3", "kernel_id": "110017629"}, {"ref": "spacecypher/gan-implement-150-epochs", "kernel_id": "111869132"}, {"ref": "kemaldemirba/pneumonet-pipeline-rsna-pneumonia-detection", "kernel_id": "111558408"}, {"ref": "siddhartharao7117/final-capstone-ssl", "kernel_id": "113700947"}, {"ref": "rohanpesuecbtech2023/ssl-pipeline", "kernel_id": "113657632"}, {"ref": "rohanpesuecbtech2023/capstone-ssl", "kernel_id": "113609301"}, {"ref": "kaushik2005/relative", "kernel_id": "113274614"}, {"ref": "aakarsh2004/kaggle", "kernel_id": "113708899"}, {"ref": "benhafsamustapha/premier-code-en-randomforest", "kernel_id": "113831805"}, {"ref": "benhafsamustapha/deuxi-me-code-rn-rsna-corrige", "kernel_id": "113835016"}, {"ref": "benhafsamustapha/troisi-me-code-un", "kernel_id": "113923521"}, {"ref": "benhafsamustapha/pneumonia-efficientnetb2", "kernel_id": "113625251"}, {"ref": "benhafsamustapha/cnn-simple-77", "kernel_id": "113253884"}, {"ref": "benhafsamustapha/deuxi-me-code-pediatrique", "kernel_id": "113990945"}, {"ref": "miloudbendjedda/kermany-efficientnetb2-on-kermany-ds", "kernel_id": "113059307"}, {"ref": "miloudbendjedda/rsna-improved-training1", "kernel_id": "113155185"}, {"ref": "miloudbendjedda/code1-covide-19-dataset", "kernel_id": "113969763"}, {"ref": "miloudbendjedda/code1-rsna", "kernel_id": "113994576"}, {"ref": "miloudbendjedda/kermany-efficientnetb2-on-rsna", "kernel_id": "113996782"}, {"ref": "naveenkhadd/notebook6a26e7c92f", "kernel_id": "113396515"}, {"ref": "thilelibaloul/pneumonia-preparation", "kernel_id": "113542998"}, {"ref": "moemenelsayed/notebook150d555b1f", "kernel_id": "114714076"}, {"ref": "moemenelsayed/demo-grad", "kernel_id": "114574251"}, {"ref": "benhafsamustapha/kermany-efficientnetb2-on-rsna", "kernel_id": "114506423"}, {"ref": "miloudbendjedda/rsna-efficientnetb2-on-rsna-ds", "kernel_id": "114508136"}, {"ref": "krishhedaoo/uncertainty-based-pneumonia-detection-using-dl", "kernel_id": "115439404"}, {"ref": "rohanpesuecbtech2023/ssl-final-30epoch", "kernel_id": "115945087"}, {"ref": "rohanpesuecbtech2023/ssl-final-100epoch-ipbny", "kernel_id": "115920593"}, {"ref": "anushka021/notebookc5e3bdf115", "kernel_id": "115639125"}, {"ref": "anushka021/notebook377ecfc9bd", "kernel_id": "115653631"}, {"ref": "anushka021/notebookba5b437c94", "kernel_id": "115608613"}, {"ref": "anushka021/notebook721ed702e4", "kernel_id": "115626582"}, {"ref": "cbsvphmthphngtho/srgan-datn", "kernel_id": "115083242"}, {"ref": "poeticmage/rsna-pneumonia-detection-challenge-image-label", "kernel_id": "116912078"}, {"ref": "poeticmage/yolo-v8-rsna-pneumonia-detection-challenge", "kernel_id": "116938621"}, {"ref": "garvitbajaj09/notebook894fe710f3", "kernel_id": "116795628"}, {"ref": "kaushik2k25/diseaseonlygan", "kernel_id": "116083863"}, {"ref": "tanmaya2004/notebook312c5a40e3", "kernel_id": "116838502"}, {"ref": "moemenelsayed/notebook627782aaad", "kernel_id": "117052189"}, {"ref": "mmubashir72/transfer-learning-cxr-test-2", "kernel_id": "117531095"}, {"ref": "jakariahbib/to-sirer-pc", "kernel_id": "117370879"}, {"ref": "primeeclipsar/pneumonia-detections-using-deep-learning", "kernel_id": "117978244"}, {"ref": "miloudbendjedda/code3-rsna-80-1-10", "kernel_id": "117977363"}, {"ref": "miloudbendjedda/code2-rsna-80-10-10", "kernel_id": "117972760"}, {"ref": "miloudbendjedda/code01-rsna-80-10-10", "kernel_id": "117969498"}, {"ref": "hiennguyen396/lung-area-calculation", "kernel_id": "117642463"}, {"ref": "hiennguyen396/dataprocess-hien", "kernel_id": "117598490"}, {"ref": "nghanguyn0506/rsna-0", "kernel_id": "118873819"}, {"ref": "nghanguyn0506/rsna-tl", "kernel_id": "118785556"}, {"ref": "aaditmehta/medimageguardv0", "kernel_id": "118554791"}, {"ref": "dophucvuha/stage1", "kernel_id": "118518882"}, {"ref": "sohailaabdelmageed/notebookde7ae33602", "kernel_id": "118519818"}, {"ref": "sohailaabdelmageed/ml-final-project-classical-ml", "kernel_id": "118432076"}, {"ref": "sohailaabdelmageed/notebook2b26ac60ce", "kernel_id": "118210340"}, {"ref": "sohailaabdelmageed/medgemma-1-5-longitudinal-x-ray-analysis", "kernel_id": "118205471"}, {"ref": "jananour111111/ml-final-project-classical-ml", "kernel_id": "118477855"}, {"ref": "miloudbendjedda/code-cnn-split-preprossesing-rsna", "kernel_id": "118539809"}, {"ref": "miloudbendjedda/code-vgg-split-preprocessing-rsna", "kernel_id": "118540597"}, {"ref": "miloudbendjedda/vgg-rsna-ds", "kernel_id": "118505426"}, {"ref": "miloudbendjedda/cnn-rsna-ds", "kernel_id": "118500835"}, {"ref": "miloudbendjedda/code4-rsna-80-10-10", "kernel_id": "118122578"}, {"ref": "miloudbendjedda/code4-split-pre-rsna", "kernel_id": "118219538"}, {"ref": "miloudbendjedda/code02-split-pre-rsna", "kernel_id": "118195319"}, {"ref": "miloudbendjedda/code3-split-pre-rsna", "kernel_id": "118197841"}, {"ref": "moustafaali1/ml-final-project-classical-ml", "kernel_id": "118314643"}, {"ref": "kareemfareedfahme/ml-final-project-classical-ml", "kernel_id": "118417208"}, {"ref": "alighadiri2026/cv-pj", "kernel_id": "118350563"}, {"ref": "nguyentongphuc/02-resnet50-vit-imagenet", "kernel_id": "118061409"}, {"ref": "nguyentongphuc/01-eda-metadata-split-nih-rsna", "kernel_id": "118050501"}, {"ref": "hongnhungnguyenthi/stage1-vgg19-cxr", "kernel_id": "118534517"}, {"ref": "meldilen/rsna-pneumonia-detection-challenge-xai2026", "kernel_id": "119104968"}, {"ref": "trnhuti666/04-fine-tune-i-jepa-3", "kernel_id": "119658315"}, {"ref": "trnhuti666/04-fine-tune-i-jepa-4", "kernel_id": "119793247"}, {"ref": "nguyentongphuc/04-fine-tune-i-jepa-2", "kernel_id": "119023298"}, {"ref": "nguyentongphuc/04b-full-ft-resume", "kernel_id": "119239956"}, {"ref": "nguyentongphuc/05-3model", "kernel_id": "119321830"}, {"ref": "akashdebnath007/notebookc871c31acb", "kernel_id": "120885701"}, {"ref": "emlieang/notebook7ada214b33", "kernel_id": "120777765"}, {"ref": "trnhuti666/09-clahe-ablation", "kernel_id": "120337680"}, {"ref": "trnhuti666/06b-vindr-fix", "kernel_id": "120165751"}, {"ref": "akashdebnath007/a-zero-trust-hybrid-framework-for-medical-image", "kernel_id": "121068148"}, {"ref": "thanhnguyenvan/poc-cl-em-160626", "kernel_id": "123400777"}, {"ref": "sanjaytj282005/notebook132665c527", "kernel_id": "123651093"}, {"ref": "ngoanng/04f-full-ft-lr-tuning-round3", "kernel_id": "123421235"}, {"ref": "omarelg/rsna-pneumonia-object-detection", "kernel_id": "124532709"}, {"ref": "heshamyehia/pneumonia-fast-faster-rcnn", "kernel_id": "124914028"}, {"ref": "ahmedsabry123/pnumonia-detection-rsna-fast-and-faster-r-cnn", "kernel_id": "124918514"}, {"ref": "mohamedshaaban2001/pnumonia-detection-rsna-fast-and-faster-r-cnn", "kernel_id": "124768111"}, {"ref": "jeankevin56/pneumonia", "kernel_id": "124754924"}, {"ref": "yossifhossam/cv-lab3-objdet", "kernel_id": "124658769"}, {"ref": "souhailmdaouer/notebook5a6b7fa447", "kernel_id": "124533447"}, {"ref": "khalidahmed1/pnumonia-detection-fast-and-faster-r-cnn", "kernel_id": "125187084"}, {"ref": "aliabdelmenam/fast-faster-r-cnn", "kernel_id": "125200790"}, {"ref": "alhusseinmohamed/notebooka6e3608d2f", "kernel_id": "125194319"}, {"ref": "sanjivanijoshi93/final-manuscript-experiment-roof-dars", "kernel_id": "125169865"}, {"ref": "jeankevin56/yolo26-training", "kernel_id": "125668880"}, {"ref": "thomasduriaud/test-maira-2", "kernel_id": "125667636"}, {"ref": "aiwithzeinab/pneumonia-classification", "kernel_id": "125390142"}, {"ref": "azmainhaq/ot-gan", "kernel_id": "126592150"}, {"ref": "tanvirrahmanmazumder/optimal-transport-xray", "kernel_id": "126820965"}, {"ref": "tanvirrahmanmazumder/visualize-xray-dataset", "kernel_id": "126552047"}, {"ref": "petrovskiyaleksei/notebook7b7dc37878", "kernel_id": "126693857"}, {"ref": "vonguyenkhang/dinov3-finetune-xray-nih-rsna", "kernel_id": "126595099"}, {"ref": "thaiminhdat/xray-fixed-moi-nhat", "kernel_id": "126660036"}, {"ref": "jasperjanuary/xpray-domain-adapted-finetune-2", "kernel_id": "126667399"}, {"ref": "jasperjanuary/xpray-baseline-finetune-newway", "kernel_id": "126699324"}, {"ref": "tanvir404/corrected-otgan", "kernel_id": "127077128"}, {"ref": "hammad1289/notebookecddc9b227", "kernel_id": "127294408"}, {"ref": "mdyaseenalam/notebookversion10", "kernel_id": "128093874"}, {"ref": "huzaifashah5/rsna-pneumonia-detection-challenge", "kernel_id": "129698082"}, {"ref": "shreya1330/detection-pneumonia", "kernel_id": "130278352"}, {"ref": "amanihassanii/notebookc01d2bb259", "kernel_id": "132279944"}, {"ref": "dangquocminh/notebook29f97fcb22", "kernel_id": "135006030"}]}
{"competition_id": "10343", "kernels": []}
{"competition_id": "10345", "kernels": []}
{"competition_id": "10356", "kernels": []}
{"competition_id": "10367", "kernels": []}
{"competition_id": "10382", "kernels": []}
{"competition_id": "10384", "kernels": [{"ref": "katedavis/plasticc-classification-demo", "kernel_id": "1799614"}, {"ref": "darbin/weighted-naive-benchmark-lb-2-081", "kernel_id": "1871397"}, {"ref": "darbin/naive-benchmark-extended-explanation", "kernel_id": "1802455"}, {"ref": "aleksandravdyushenko/naive-and-lightgbm-on-meta-with-score-calc", "kernel_id": "1837477"}, {"ref": "thibmain/save-test-chunks", "kernel_id": "1901498"}, {"ref": "sergeylebedev/fine-tuned-weighted-loss-benchmark", "kernel_id": "1875522"}, {"ref": "sergeylebedev/light-curve-equalization", "kernel_id": "1976704"}, {"ref": "rooshroosh/fork-simple-mlp-for-time-series-classification", "kernel_id": "1993534"}, {"ref": "kyleboone/naive-benchmark-galactic-vs-extragalactic", "kernel_id": "1765474"}, {"ref": "scirpus/predict-by-row-then-average", "kernel_id": "1942046"}, {"ref": "scirpus/change-in-flux", "kernel_id": "1935000"}, {"ref": "scirpus/lomb-scargle", "kernel_id": "1949925"}, {"ref": "scirpus/kl-gp-clustering", "kernel_id": "1996283"}, {"ref": "scirpus/sonething-funky", "kernel_id": "1986001"}, {"ref": "scirpus/plasticc-pipeline-starter", "kernel_id": "1970652"}, {"ref": "marcolam/some-test-plots", "kernel_id": "1930047"}, {"ref": "onodera/all-class-6", "kernel_id": "1762534"}, {"ref": "mithrillion/strategies-for-flux-time-series-preprocessing", "kernel_id": "1987143"}, {"ref": "druidh/time-series-plot", "kernel_id": "1770786"}, {"ref": "mathan/astronomical-factors", "kernel_id": "1772551"}, {"ref": "danilodiogo/the-astronomical-complete-eda-plasticc-dataset", "kernel_id": "1808193"}, {"ref": "johnfarrell/plasticc-2018-metadata-simple-eda", "kernel_id": "1759196"}, {"ref": "johnfarrell/plasticc-in-a-kernel-meta-and-data-c7a0fc", "kernel_id": "1869117"}, {"ref": "johnfarrell/plasticc-2018-another-training-set-eda", "kernel_id": "1963974"}, {"ref": "ogrellier/plasticc-in-a-kernel-meta-and-data", "kernel_id": "1863675"}, {"ref": "ogrellier/plasticc-adversarial-validation", "kernel_id": "1862752"}, {"ref": "ogrellier/multi-core-aggregations", "kernel_id": "1986866"}, {"ref": "paulorzp/1-line-classes-weighted", "kernel_id": "1764023"}, {"ref": "rejpalcz/feature-extraction-using-period-analysis", "kernel_id": "1996980"}, {"ref": "tomashenco/plasticc-eda", "kernel_id": "1819609"}, {"ref": "ashutosh7/xgboost-with-static-features", "kernel_id": "1814812"}, {"ref": "ashutosh7/interactive-exploratory-data-analysis", "kernel_id": "1799149"}, {"ref": "hrmello/dataset-overview-exploration-and-comments", "kernel_id": "1759587"}, {"ref": "vandavv/plasticcvis-data-visualizations-for-plasticc", "kernel_id": "1858049"}, {"ref": "alexandershustanov/plasticc-flux-evolution-animation", "kernel_id": "1874233"}, {"ref": "ashishpatel26/can-this-make-sense-of-the-universe-tuned", "kernel_id": "1933615"}, {"ref": "ashishpatel26/model-interpretation-with-voting-classifier-hard", "kernel_id": "1799835"}, {"ref": "alexfir/light-curves-visualization", "kernel_id": "1950415"}, {"ref": "alexfir/test-set-columns-part-2", "kernel_id": "1925427"}, {"ref": "alexfir/fast-test-set-reading", "kernel_id": "1925446"}, {"ref": "alexfir/test-set-columns-part-1", "kernel_id": "1898391"}, {"ref": "meaninglesslives/simple-neural-net-for-time-series-classification", "kernel_id": "1979628"}, {"ref": "meaninglesslives/lgb-parameter-tuning", "kernel_id": "1877042"}, {"ref": "michaelapers/the-plasticc-astronomy-starter-kit", "kernel_id": "1636471"}, {"ref": "michaelapers/the-plasticc-astronomy-classification-demo", "kernel_id": "1637129"}, {"ref": "tarunpaparaju/plasticc-challenge-neural-network-with-gp", "kernel_id": "1919593"}, {"ref": "maidaly/interactive-eda-and-visualization-for-plasticc", "kernel_id": "1867709"}, {"ref": "nasirislamsujan/eda-prediction-beginner-approach", "kernel_id": "1848166"}, {"ref": "horohoro/lgb-parameter-simplever-lb1-55", "kernel_id": "1964979"}, {"ref": "ryou01/kernel-hosi", "kernel_id": "1946632"}, {"ref": "chocozzz/the-plasticc-astronomical-classification-eda", "kernel_id": "1914068"}, {"ref": "jeffkk/guessing-the-objects-behind-the-classes", "kernel_id": "1808851"}, {"ref": "ganfear/calculate-exact-class-weights", "kernel_id": "1865214"}, {"ref": "obrienmitch94/train-set-vs-test-set-differences-eda", "kernel_id": "1823923"}, {"ref": "aantonova/aggregate-datasets-by-means-and-vars", "kernel_id": "1979268"}, {"ref": "joshualin24/redshift-infomation-specz-and-photoz", "kernel_id": "1904531"}, {"ref": "pratikmirani/pm-the-astronomical-complete-eda-plasticc", "kernel_id": "1817846"}, {"ref": "yk0711/plotting-light-curves-of-training-data-set", "kernel_id": "1779283"}, {"ref": "nanmaran/periodogram-visualization-lomb-scargle", "kernel_id": "1973440"}, {"ref": "billycrawford/plasticc-eda", "kernel_id": "1854938"}, {"ref": "devansh2698/basic-exploratory-analysis", "kernel_id": "1947929"}, {"ref": "bharat0/visualizing-light-curves-for-each-class", "kernel_id": "1991709"}, {"ref": "cpmpml/some-peculiarity", "kernel_id": "2009154"}, {"ref": "cpmpml/where-is-the-gap", "kernel_id": "2081783"}, {"ref": "rooshroosh/forked-dart-w-ideas-from-kernels-and-discuss", "kernel_id": "2152788"}, {"ref": "zerrxy/plasticc-rnn", "kernel_id": "2487706"}, {"ref": "hellokitty23/fork-of-kernele25cb411bb", "kernel_id": "2383385"}, {"ref": "scirpus/discrete-time-warp", "kernel_id": "2198288"}, {"ref": "scirpus/diff-or-sum", "kernel_id": "2194251"}, {"ref": "scirpus/genetic-programming-confusion-matrix", "kernel_id": "2301480"}, {"ref": "scirpus/straight-gp-clustering-for-lsst", "kernel_id": "2180211"}, {"ref": "scirpus/photoz2distance", "kernel_id": "2083594"}, {"ref": "marcolam/cmc-plots-modified", "kernel_id": "2009593"}, {"ref": "cttsai/xgb-from-ideas-from-kernels-and-discussion", "kernel_id": "2130041"}, {"ref": "cttsai/lgbm-forked-ideas-from-kernels-and-discussion", "kernel_id": "2134887"}, {"ref": "cttsai/forked-lgbm-w-ideas-from-kernels-and-discuss", "kernel_id": "2148650"}, {"ref": "cttsai/smote-on-lgbm-w-ideas-from-kernels-and-discussion", "kernel_id": "2323928"}, {"ref": "kenmatsu4/feature-engineering-with-gaussian-process", "kernel_id": "2496380"}, {"ref": "saams4u/plasticc-classification-demo-98ec89", "kernel_id": "2205242"}, {"ref": "mithrillion/ahmeterdem-s-curve-fit-speed-up", "kernel_id": "2409697"}, {"ref": "mithrillion/all-classes-light-curve-characteristics-updated", "kernel_id": "2016469"}, {"ref": "mithrillion/know-your-objective", "kernel_id": "2034232"}, {"ref": "mithrillion/a-few-python-tricks-to-mod-sklearn", "kernel_id": "2195592"}, {"ref": "gregbehm/plasticc-data-reader-get-objects-by-id", "kernel_id": "2055569"}, {"ref": "druidh/features-processing-benchmark", "kernel_id": "2018364"}, {"ref": "johnfarrell/plasticc-2018-simple-rnn-pytorch", "kernel_id": "2291178"}, {"ref": "johnfarrell/plasticc-2018-emb-gru", "kernel_id": "2395879"}, {"ref": "amitkumarjaiswal/boost-plasticc", "kernel_id": "2390609"}, {"ref": "samusram/representative-light-curves-for-hard-classes", "kernel_id": "2416296"}, {"ref": "ebudia/lgbm-31-wo-0-536906", "kernel_id": "2362183"}, {"ref": "ebudia/nnmodel-v1-wo", "kernel_id": "2357901"}, {"ref": "ebudia/lgbm-31-1-w", "kernel_id": "2372680"}, {"ref": "ebudia/fork-of-fork-of-fork-of-jointest-31-v3-75f1b6", "kernel_id": "2403810"}, {"ref": "pankajb64/cnn-based-classification-of-light-curves", "kernel_id": "2129101"}, {"ref": "pankajb64/plasticc-dmdt-eda", "kernel_id": "2189215"}, {"ref": "hrmello/using-cnns-in-time-series-analysis", "kernel_id": "2120014"}, {"ref": "xanthate/eda-python", "kernel_id": "2235256"}, {"ref": "authman/plasticc-in-a-kernel-meta-and-data", "kernel_id": "2105332"}, {"ref": "arunkumarramanan/awesome-ml-frameworks-and-mnist-classification", "kernel_id": "2270215"}, {"ref": "bulatza/blend-them-all-best-public-score", "kernel_id": "2044815"}, {"ref": "jackvial/plasticc-pytorch", "kernel_id": "2276487"}, {"ref": "meaninglesslives/a-slightly-better-nn-arch-and-some-tricks", "kernel_id": "2391336"}, {"ref": "hsankesara/plasticc-eda", "kernel_id": "2007299"}, {"ref": "tarunpaparaju/plasticc-comprehensive-eda-with-gp", "kernel_id": "2073099"}, {"ref": "nyanpn/salt-2-feature-part-of-3rd-place-solution", "kernel_id": "2435078"}, {"ref": "yuval6967/3rd-place-cnn", "kernel_id": "2443205"}, {"ref": "cyrusian/plastic-cyrus-1", "kernel_id": "2036260"}, {"ref": "jimpsull/mergeneural512newparams", "kernel_id": "2383383"}, {"ref": "jimpsull/lognormalizefeaturesetstogetherwextrafeats", "kernel_id": "2381680"}, {"ref": "jimpsull/egneural512newfeats", "kernel_id": "2381700"}, {"ref": "jimpsull/igneural1024newfeats", "kernel_id": "2381704"}, {"ref": "jimpsull/fiftyfivefourtyfiveblend", "kernel_id": "2381136"}, {"ref": "jimpsull/egneuraltt512wsmote", "kernel_id": "2371630"}, {"ref": "jimpsull/lognormalizefeaturesetstogether", "kernel_id": "2361858"}, {"ref": "jimpsull/adjustpredictiondataframe", "kernel_id": "2352591"}, {"ref": "jimpsull/blendmodels", "kernel_id": "2342283"}, {"ref": "jimpsull/closethegapbetweencvandlb", "kernel_id": "2294649"}, {"ref": "jimpsull/parametergridsearch", "kernel_id": "2306501"}, {"ref": "jimpsull/collaboratingwithkagglecommunity-1-037-lb", "kernel_id": "2304658"}, {"ref": "jimpsull/ourpathtowherewearenewparams", "kernel_id": "2304773"}, {"ref": "jimpsull/featuremergingkernelwithaggcustom", "kernel_id": "2198076"}, {"ref": "jimpsull/truncatemithrillionsstandardfeatures", "kernel_id": "2219139"}, {"ref": "jimpsull/something-different", "kernel_id": "2062232"}, {"ref": "jimpsull/somethingdifferent-testsetedition", "kernel_id": "2063379"}, {"ref": "jimpsull/writefeaturetablefromsmotedartset", "kernel_id": "2165863"}, {"ref": "jimpsull/improveclass99fordartsmoteset", "kernel_id": "2164631"}, {"ref": "jimpsull/smoteappliedeachstepwithoutweighting", "kernel_id": "2148091"}, {"ref": "jimpsull/forked-dart-w-ideas-from-kernels-added-smote", "kernel_id": "2160599"}, {"ref": "jimpsull/normalizesomethingdifferentfeatures", "kernel_id": "2114250"}, {"ref": "jimpsull/train-and-submit", "kernel_id": "2120680"}, {"ref": "jimpsull/shallowlgbensembler", "kernel_id": "2408081"}, {"ref": "jimpsull/plasticc-path-and-lessons-learned", "kernel_id": "2408819"}, {"ref": "jimpsull/latestneuralfiftyfiftyblendwithmoredecisiveneural", "kernel_id": "2398823"}, {"ref": "jimpsull/neuralmoredecisive", "kernel_id": "2398856"}, {"ref": "stacydean/test-data-parser", "kernel_id": "2076289"}, {"ref": "nakasho/plasticc-data-plot-with-healpy", "kernel_id": "2224773"}, {"ref": "iprapas/ideas-from-kernels-and-discussion-lb-1-135", "kernel_id": "2094759"}, {"ref": "billstam123/convolutional-autoencoding-of-the-time-seri-a76ec1", "kernel_id": "2301751"}, {"ref": "aantonova/cnn-signals-as-images", "kernel_id": "2203836"}, {"ref": "nadare/feature-engenieering-with-pivot-table", "kernel_id": "2027263"}, {"ref": "marcmuc/large-csv-datasets-with-pandas-use-less-memory", "kernel_id": "2417357"}, {"ref": "deepikaggupta/plasticc-a", "kernel_id": "2217214"}, {"ref": "kaerunantoka/0-943-cv-0-52974-features-136", "kernel_id": "2403038"}, {"ref": "higepon/updated-keras-cnn-use-time-series-data-as-is", "kernel_id": "2212441"}, {"ref": "higepon/keras-rnn-gru-to-handle-passbands-as-timeseries", "kernel_id": "2184707"}, {"ref": "jasperderikxvantage/olivier-s-kernel-in-sklearn-pipeline", "kernel_id": "2380148"}, {"ref": "katiamedjani/plasticc-katia", "kernel_id": "2983595"}, {"ref": "ankitchaudhary23/plastic-in-python", "kernel_id": "2330800"}, {"ref": "manugangler/optimal-feature-extraction-for-class-6", "kernel_id": "2301629"}, {"ref": "mykras/210319-plasticc-data-table", "kernel_id": "3332925"}, {"ref": "mykras/220319-plasticc", "kernel_id": "3347547"}, {"ref": "rababchahboune/gp-flux-prediction", "kernel_id": "3258607"}, {"ref": "asura93/using-cnns-in-time-series-analysis", "kernel_id": "3612151"}, {"ref": "tossaponboongoen/feature-engineering-with-gaussian-process", "kernel_id": "4694985"}, {"ref": "jiweiliu/dask-dataframe-bigger-than-memory-test", "kernel_id": "7747879"}, {"ref": "riteshkankonkar/dir-per-unique-class-for-image-classification", "kernel_id": "7635980"}, {"ref": "codinbro/fork-of-data-mining-assignment1", "kernel_id": "8296086"}, {"ref": "gubanovfedor/rnnsolution", "kernel_id": "12785449"}, {"ref": "sherrysheng97/quasar-classifier-sdss-plasticc", "kernel_id": "14748952"}, {"ref": "sherrysheng97/quasar-classifier-plasticc", "kernel_id": "14921630"}, {"ref": "sherrysheng97/data-preprocessing-plasticc", "kernel_id": "15011086"}, {"ref": "sherrysheng97/tests-and-thoughts", "kernel_id": "15053006"}, {"ref": "sherrysheng97/drw-estimation-for-plasticc-dataset", "kernel_id": "15395650"}, {"ref": "sherrysheng97/plasticc-dataset-investigation", "kernel_id": "15423647"}, {"ref": "almamun4r/plasticc-2018", "kernel_id": "15549466"}, {"ref": "alexandrelacour/plasticc-lulu", "kernel_id": "16948330"}, {"ref": "kaushikdas27/time-series-classification-plasticc", "kernel_id": "20928187"}, {"ref": "almahmudalmamun/plasticc-with-cnn", "kernel_id": "22991227"}, {"ref": "anhtuannguyen1802/18021366-nguy-n-anh-tu-n", "kernel_id": "22858581"}, {"ref": "zongzelee/quantum-test", "kernel_id": "25716096"}, {"ref": "manueldelfino/light-curve-equalization-only-training", "kernel_id": "36044152"}, {"ref": "debapriyoguha/1810027-thesis", "kernel_id": "53655561"}, {"ref": "amitkumaryadav90/cnn-based-classification-of-light-curves-298704", "kernel_id": "65051913"}, {"ref": "entityy256/all-classes-light-curve-characteristics-updated", "kernel_id": "65207633"}, {"ref": "muhammadahmadkhalid/the-bias-busters-notebook", "kernel_id": "81417747"}, {"ref": "muhammadahmadkhalid/plasticc-rnn", "kernel_id": "81532415"}, {"ref": "zeeshanahmd/ml-project-1-grus", "kernel_id": "82842041"}, {"ref": "musfiraaslam/ml-power-puff-girls", "kernel_id": "82007184"}, {"ref": "zumarafzal/paper-2-approach1", "kernel_id": "82506997"}, {"ref": "zumarafzal/notebooka88155bcc0", "kernel_id": "82835625"}, {"ref": "zumarafzal/asitis", "kernel_id": "82812255"}, {"ref": "asimazhar/final-results", "kernel_id": "83679764"}, {"ref": "irtazahyder/submission-1", "kernel_id": "83652486"}, {"ref": "mustfain/plastic", "kernel_id": "83654613"}, {"ref": "zeeshanahmd/ml-project-2-tuesday", "kernel_id": "83332573"}, {"ref": "awais2317/awais-amw", "kernel_id": "83709537"}, {"ref": "zararshah20/ha-tcn-for-time-series-classification", "kernel_id": "83538307"}, {"ref": "ahmarnoor/ml-project", "kernel_id": "83666833"}, {"ref": "imanqaiser/predictionscoring-xgbstatsbasicversion", "kernel_id": "83670291"}, {"ref": "debapriyoguha/pie-ada-plasticc", "kernel_id": "87942898"}, {"ref": "imnaeunkim/cnn-based-classification-of-light-curves", "kernel_id": "91274292"}]}
{"competition_id": "10385", "kernels": [{"ref": "konradb/lgb-parameter-tuning", "kernel_id": "2993923"}, {"ref": "morenoh149/rosegold-eda-pca-and-lightgbm-baseline", "kernel_id": "2943240"}, {"ref": "schock/santander-ootb-fast-ai-tabular-implementation", "kernel_id": "2978787"}, {"ref": "cartographic/santander-xgb-hyper-search", "kernel_id": "2998088"}, {"ref": "cttsai/santander-ctp-xgboost-starter", "kernel_id": "2948634"}, {"ref": "kenmatsu4/adversarial-valid-hard-to-extinguish-train-test", "kernel_id": "2949642"}, {"ref": "kenmatsu4/basic-eda", "kernel_id": "2948733"}, {"ref": "kenmatsu4/yeo-johnson-conversion-was-applied", "kernel_id": "2957428"}, {"ref": "zerostack/exploring-customer-transactions-at-santander", "kernel_id": "2987611"}, {"ref": "snehal1409/santander-lgbm", "kernel_id": "2998403"}, {"ref": "indranilbhattacharya/santander-xgb-lgb-starter", "kernel_id": "2956432"}, {"ref": "tunguz/santander-with-h2o-automl", "kernel_id": "2947683"}, {"ref": "nickycan/compress-70-of-dataset", "kernel_id": "2983616"}, {"ref": "nicoduf/gbm-with-grid-search-h2o", "kernel_id": "2980818"}, {"ref": "allunia/santander-customer-transaction-eda", "kernel_id": "2947045"}, {"ref": "aerdem4/santanderctp-lofo-feature-importance", "kernel_id": "2944597"}, {"ref": "siddharth5mn/santander-starter-eda", "kernel_id": "2949543"}, {"ref": "psystat/simple-eda-logistic-regression-speedglm-with-r", "kernel_id": "2942055"}, {"ref": "timon88/santander-catboost-finalscript-public-lb-0-919", "kernel_id": "2944565"}, {"ref": "neelambuj717/santander-basic-model-score-0-898", "kernel_id": "2981223"}, {"ref": "jordimoragas/san-catboost-005", "kernel_id": "2995616"}, {"ref": "artgor/santander-eda-fe-fs-and-models", "kernel_id": "2943219"}, {"ref": "gpreda/santander-eda-and-prediction", "kernel_id": "2944832"}, {"ref": "unerue/simple-eda-and-building-a-model", "kernel_id": "2943346"}, {"ref": "fayzur/lightgbm-customer-transaction-prediction", "kernel_id": "2942382"}, {"ref": "fayzur/lgb-bayesian-parameters-finding-rank-average", "kernel_id": "2996387"}, {"ref": "takuok/sry-it-is-not-finding", "kernel_id": "2945043"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "ashishpatel26/genetic-algorithm-for-beginner-to-advance", "kernel_id": "2159938"}, {"ref": "ashishpatel26/lightgbm-gbdt-dart", "kernel_id": "2945225"}, {"ref": "ashishpatel26/feature-selection-pca-catboost", "kernel_id": "2946410"}, {"ref": "ashishpatel26/interpretability-of-ml-black-box-model-iml", "kernel_id": "2993104"}, {"ref": "anu0012/quick-start-basic-approach-lb-0-897", "kernel_id": "2948681"}, {"ref": "benjibb/fastai-implementation-stratified", "kernel_id": "2954855"}, {"ref": "tomeram/keras-lb-0-853-nn-approach", "kernel_id": "2951322"}, {"ref": "alepacheco/basic-xgboost-approach", "kernel_id": "2962935"}, {"ref": "alepacheco/basic-nn-approach", "kernel_id": "2959439"}, {"ref": "takaishikawa/distribution-of-each-feature", "kernel_id": "2953027"}, {"ref": "takaishikawa/simple-adversarial-validation", "kernel_id": "2944844"}, {"ref": "ca3295/simple-shap-analysis-and-data-source-speculation", "kernel_id": "2952547"}, {"ref": "magf46/eda-naive-bayes-dt-lgbm-polyfeatures", "kernel_id": "2948393"}, {"ref": "karthik7395/key-takeaways-eda-fe-lgbm-10-fold-cv", "kernel_id": "2944355"}, {"ref": "kartikeyab/simple-nn-starter", "kernel_id": "2968701"}, {"ref": "youhanlee/yh-eda-i-want-to-see-all", "kernel_id": "2941952"}, {"ref": "shaz13/santander-xgboost-bayesian-optimization", "kernel_id": "2993208"}, {"ref": "ortempo/3-lightgbm", "kernel_id": "2982269"}, {"ref": "ortempo/2-naives-bayes", "kernel_id": "2981985"}, {"ref": "ortempo/1-simple-logistic-regression", "kernel_id": "2980830"}, {"ref": "blackblitz/gaussian-naive-bayes", "kernel_id": "2983470"}, {"ref": "dromosys/sctp-working-lgb", "kernel_id": "2999460"}, {"ref": "l0glikelihood/santanderctp-adversarial-validation", "kernel_id": "2948074"}, {"ref": "wakamezake/satendar-pandas-profiling", "kernel_id": "2945886"}, {"ref": "wakamezake/starter-code-catboost-baseline", "kernel_id": "2944733"}, {"ref": "tarunpaparaju/santander-customer-transaction-dnns", "kernel_id": "2957016"}, {"ref": "plasticgrammer/santander-customer-transaction-playground", "kernel_id": "2955680"}, {"ref": "xxbxyae/simple-xgboost-prediction", "kernel_id": "2970791"}, {"ref": "hiralmshah/santander-customer-transaction-eda-and-prediction", "kernel_id": "2954705"}, {"ref": "deepakdodi/simple-neural-network-model-with-adam-optimizer", "kernel_id": "2996882"}, {"ref": "nitingoyal09/santander-transaction-prediction", "kernel_id": "2961535"}, {"ref": "chocozzz/santander-lightgbm-baseline-lb-0-899", "kernel_id": "2941931"}, {"ref": "mjbahmani/santander-ml-explainability", "kernel_id": "2943889"}, {"ref": "thaer2018/insights-for-santander-ctp", "kernel_id": "2998458"}, {"ref": "jainvipul/santander-naive-bayes-and-speedglm", "kernel_id": "2979845"}, {"ref": "sungdoo/sctp-working-lgb", "kernel_id": "2980394"}, {"ref": "kalyankkr/single-model-lgbm", "kernel_id": "2999099"}, {"ref": "deepak525/sctp-lightgbm-lb-0-899", "kernel_id": "2942561"}, {"ref": "deepak525/ensemble", "kernel_id": "2988169"}, {"ref": "higepon/starter-keras-simple-nn-kfold-cv", "kernel_id": "2957231"}, {"ref": "pierresylvain/basic-logisticregression", "kernel_id": "2997121"}, {"ref": "tahirmuslimscientist/simple-explaination-of-santander-models", "kernel_id": "2958636"}, {"ref": "shashanksagarjha/just-modelling-and-gridsearch", "kernel_id": "2947908"}, {"ref": "rhal2019/standard", "kernel_id": "2950348"}, {"ref": "saurav90/santander-transaction-prediction", "kernel_id": "2957725"}, {"ref": "krishnakesavan/r-sample-catboost-5-fold-cv", "kernel_id": "3138797"}, {"ref": "krishnakesavan/r-sample-keras-5-fold-cv", "kernel_id": "3156496"}, {"ref": "aleksthegreat/help-with-autoencoder-vae", "kernel_id": "3181375"}, {"ref": "aleksthegreat/auto-encoder-w-hidden-layers-nn", "kernel_id": "3404320"}, {"ref": "fuhang/weighted-kernel-naive-bayes-with-lasso-elimination", "kernel_id": "3514586"}, {"ref": "philippsinger/frequency-features-without-test-data-information", "kernel_id": "3560082"}, {"ref": "darbin/hierarchical-clustering-approach", "kernel_id": "3413392"}, {"ref": "darbin/lgb-on-pca-features", "kernel_id": "3376647"}, {"ref": "darbin/lgb-with-some-pca-features", "kernel_id": "3383099"}, {"ref": "darbin/random-solution-auc-0-5", "kernel_id": "3281264"}, {"ref": "darbin/principal-component-analysis-approach", "kernel_id": "3337272"}, {"ref": "darbin/logit-for-200-pca-features", "kernel_id": "3531645"}, {"ref": "titericz/single-model-using-only-train-counts-information", "kernel_id": "3564527"}, {"ref": "titericz/giba-single-model-public-0-9245-private-0-9234", "kernel_id": "3552509"}, {"ref": "vv0x0x/santander-ridge", "kernel_id": "3378174"}, {"ref": "mkowoods/gaussiannb-baseline-0-888-cv", "kernel_id": "3468943"}, {"ref": "mkowoods/rfc-baseline", "kernel_id": "3440473"}, {"ref": "psilogram/random-synthetic-data-test", "kernel_id": "3576040"}, {"ref": "dott1718/922-in-3-minutes", "kernel_id": "3556667"}, {"ref": "jiweiliu/pdf-of-original-and-magic-features", "kernel_id": "3455627"}, {"ref": "jiweiliu/fast-pdf-calculation-with-correlation-matrix", "kernel_id": "3421518"}, {"ref": "jiweiliu/fast-inplace-shuffle-for-augmentation", "kernel_id": "3425326"}, {"ref": "jiweiliu/lgb-2-leaves-augment", "kernel_id": "3260936"}, {"ref": "jiweiliu/lb-0-9228-nn-weight-sharing-of-var-group", "kernel_id": "3526755"}, {"ref": "belindatrotta/target-vs-column-value-for-different-frequencies", "kernel_id": "3569090"}, {"ref": "simongrest/finding-peaks-in-the-histograms-of-the-variables", "kernel_id": "3402939"}, {"ref": "brandenkmurray/nothing-works", "kernel_id": "3179538"}, {"ref": "brandenkmurray/randomly-shuffled-data-also-works", "kernel_id": "3220587"}, {"ref": "brandenkmurray/weird-data-structure-random-data", "kernel_id": "3020746"}, {"ref": "tomehta/feature-engineering-eda-and-lgbm", "kernel_id": "3136254"}, {"ref": "tomehta/adding-features-and-evaluation", "kernel_id": "3147612"}, {"ref": "gokultalele/different-model-comparison-for-beginners", "kernel_id": "3353977"}, {"ref": "alexpetit12/getting-started-with-logistic-regression", "kernel_id": "3369494"}, {"ref": "udaygurugubelli/tf-dnn", "kernel_id": "3171315"}, {"ref": "saurabhbagchi/descriptive-statistics-code", "kernel_id": "3865735"}, {"ref": "saurabhbagchi/kernelf89d833bb1", "kernel_id": "3606998"}, {"ref": "yassinealouini/automatic-features-engineering", "kernel_id": "3049807"}, {"ref": "yassinealouini/are-ecdfs-better-than-histograms", "kernel_id": "3427739"}, {"ref": "yassinealouini/kernel-density-estimation", "kernel_id": "3365859"}, {"ref": "yassinealouini/seeing-in-more-dimensions", "kernel_id": "3359270"}, {"ref": "yassinealouini/permutation-importance", "kernel_id": "3357787"}, {"ref": "yassinealouini/mystery-behind-var-68", "kernel_id": "3285780"}, {"ref": "yassinealouini/a-cup-of-tea", "kernel_id": "3274655"}, {"ref": "yassinealouini/transforming-the-features", "kernel_id": "3356138"}, {"ref": "jakubczakon/example-lightgbm-neptune-tracking", "kernel_id": "3274810"}, {"ref": "jakubczakon/top-public-kernels-comparison", "kernel_id": "3300659"}, {"ref": "bruno16/lgb-2-leaves-augment", "kernel_id": "3399435"}, {"ref": "hireme/using-only-one-feature-for-prediction", "kernel_id": "3255919"}, {"ref": "vinhnguyen/gpu-acceleration-for-lightgbm", "kernel_id": "3060687"}, {"ref": "vinhnguyen/accelerating-hyper-parameter-searching-with-gpu", "kernel_id": "3034198"}, {"ref": "vinhnguyen/accelerating-xgboost-with-gpu", "kernel_id": "3034152"}, {"ref": "cartographic/santander-mlbayesopt", "kernel_id": "3059373"}, {"ref": "cartographic/santander-h2o-automl-inc-deep", "kernel_id": "3049270"}, {"ref": "redroy44/catboost-hyperopt", "kernel_id": "3178255"}, {"ref": "priteshshrivastava/data-splitting-santander-r", "kernel_id": "3039295"}, {"ref": "priteshshrivastava/random-forest-santander-classification-fast-ai", "kernel_id": "3039415"}, {"ref": "scirpus/how-does-this-work-at-all", "kernel_id": "3439867"}, {"ref": "scirpus/i-am-sparsicus", "kernel_id": "3426545"}, {"ref": "scirpus/santander-gp", "kernel_id": "3178793"}, {"ref": "scirpus/weird-data-structure", "kernel_id": "3018968"}, {"ref": "scirpus/funky-gp-clustering", "kernel_id": "3474491"}, {"ref": "debnomics/fork-of-keras-deep-learning", "kernel_id": "3056735"}, {"ref": "tezdhar/getting-started-santander", "kernel_id": "3190433"}, {"ref": "cttsai/santander-ctp-xgboost-w-statistical-features", "kernel_id": "3023162"}, {"ref": "cttsai/santander-ctp-catboost-w-statistical-features", "kernel_id": "3200915"}, {"ref": "justfor/adversarial-validation-plus-ks-test", "kernel_id": "3349879"}, {"ref": "jpison/moving-window-average-of-target-by-var-68", "kernel_id": "3326135"}, {"ref": "jpison/transforming-from-gaussian-to-uniform-distribution", "kernel_id": "3359751"}, {"ref": "pheadrus/class-6a-hyperparameter-optimization", "kernel_id": "3658231"}, {"ref": "wojciechmigda/hyperopt-xgb", "kernel_id": "3005402"}, {"ref": "wojciechmigda/compressed-data-download-bz2", "kernel_id": "3003849"}, {"ref": "tomtillo/distribution-plots-of-all-variables", "kernel_id": "3330389"}, {"ref": "vikasmalhotra08/feature-binning-using-bayesian-blocks", "kernel_id": "3517405"}, {"ref": "adnaiksachin25/santander-208-features", "kernel_id": "3221810"}, {"ref": "adnaiksachin25/santander-lgbm-216-features", "kernel_id": "3233931"}, {"ref": "adnaiksachin25/dl-gbm-h2o", "kernel_id": "3281207"}, {"ref": "adnaiksachin25/santander-simple-h2o-deep-learning-model", "kernel_id": "3255596"}, {"ref": "kelexu/fork-of-pytorch-nn-cyclelr-k-fold-0-920-with-aug", "kernel_id": "3552467"}, {"ref": "anki54/satander-customer-transaction-prediction", "kernel_id": "3388826"}, {"ref": "jurajm/simple-and-quick-solution-with-naive-bayes", "kernel_id": "3326329"}, {"ref": "super13579/fork-of-fork-of-concate-nn-46ae3a", "kernel_id": "3349757"}, {"ref": "super13579/lgbm-model-only", "kernel_id": "3261622"}, {"ref": "super13579/split-test-dataset", "kernel_id": "3367502"}, {"ref": "super13579/lgbm-with-duplicate-flag-value-0-923", "kernel_id": "3447212"}, {"ref": "super13579/lgbm-model-catboost", "kernel_id": "3209110"}, {"ref": "super13579/pytorch-nn-cyclelr-k-fold-0-897-lightgbm-0-899", "kernel_id": "3130604"}, {"ref": "vanausloos/nn-wo-pseudo-1-fold-seed-xavier-version-17-04-19", "kernel_id": "3619148"}, {"ref": "vanausloos/santander-random-synthetic-data-test", "kernel_id": "3619366"}, {"ref": "onodera/weird-data-structure-random-data", "kernel_id": "3024728"}, {"ref": "balajisr/0-80-auc-with-a-single-feature", "kernel_id": "3383261"}, {"ref": "psnjiki/gboosters-lb-898", "kernel_id": "3031453"}, {"ref": "xubujie/hint-for-categorize-features", "kernel_id": "3254005"}, {"ref": "strideradu/20-nn-model-public-9225-private-9222", "kernel_id": "3559026"}, {"ref": "silverstone1903/xgboost-baseline", "kernel_id": "3131672"}, {"ref": "sionek/randomly-shuffled-data-also-works", "kernel_id": "3246833"}, {"ref": "danielgrimshaw/sklearn-model-exploration", "kernel_id": "3009017"}, {"ref": "mytymohan/sct-prediction-eda-smote-lgbm", "kernel_id": "3016212"}, {"ref": "bearstrikesback/adversarial-validation-plus-ks-test", "kernel_id": "3253272"}, {"ref": "bearstrikesback/yet-another-target-vs-vars", "kernel_id": "3467739"}, {"ref": "bearstrikesback/weird-count-vs-target-artifacts", "kernel_id": "3575373"}, {"ref": "salonipatil/getting-started", "kernel_id": "3077180"}, {"ref": "erseler/simplest-way-to-get-lb-score-0-887-gaussiannb", "kernel_id": "3496100"}, {"ref": "vmvadivel/basic-xgboost-based-solution", "kernel_id": "3129681"}, {"ref": "lbronchal/different-cross-validation-techniques", "kernel_id": "3336239"}, {"ref": "qqgeogor/keras-nn-mixup", "kernel_id": "3087296"}, {"ref": "mstamatis/feature-interactions-fm-nffm-5fold-updating", "kernel_id": "3191598"}, {"ref": "tunguz/adversarial-santander", "kernel_id": "3020251"}, {"ref": "anjum48/has-pca-or-svd-been-performed-on-the-dataset", "kernel_id": "3287566"}, {"ref": "indhira/kernel7ccbb033cc", "kernel_id": "3002301"}, {"ref": "ramzes2/santander-challenge-overview-for-cherkasy-ml-club", "kernel_id": "3601038"}, {"ref": "francoisdubois/correlation-matrix", "kernel_id": "3386322"}, {"ref": "francoisdubois/timestamp-variables", "kernel_id": "3384444"}, {"ref": "francoisdubois/fake-real-test-data-comparing-distrib", "kernel_id": "3373815"}, {"ref": "francoisdubois/some-features-could-be-probabilities", "kernel_id": "3375231"}, {"ref": "francoisdubois/distribution-of-target-by-variables", "kernel_id": "3334313"}, {"ref": "pavetr/looking-for-magic-some-interesting-things", "kernel_id": "3544495"}, {"ref": "nicoduf/pca-why-you-should-scale-your-data", "kernel_id": "3070433"}, {"ref": "praxitelisk/santander-customer-transaction-prediction-eda-ml", "kernel_id": "3427500"}, {"ref": "zfturbo/magic-feature-generator", "kernel_id": "3528311"}, {"ref": "kazutak/lgbm-santander-customer-transaction-prediction", "kernel_id": "3203583"}, {"ref": "rgozun/ralph-gozun", "kernel_id": "3452020"}, {"ref": "whitebird/0-923-in-n-5-aug", "kernel_id": "3451042"}, {"ref": "marcocarnini/lightgbm-model-optimizing-learning-reate", "kernel_id": "3141941"}, {"ref": "datahobbit/xgboost-hyperopt", "kernel_id": "3489704"}, {"ref": "ajnovice/santander-customer-transaction-prediction", "kernel_id": "3473339"}, {"ref": "josephgpinto/santander-lgbm-lgb-900", "kernel_id": "3400503"}, {"ref": "envym3/santander-customer-transaction-prediction-2", "kernel_id": "3114062"}, {"ref": "sagol79/catboost-magic-starter", "kernel_id": "3551633"}, {"ref": "qq313303303/magic-data-augment", "kernel_id": "3329852"}, {"ref": "danielcorreia/santander-ultra-simple-sklearn-pipeline-baseline", "kernel_id": "3056613"}, {"ref": "davidmarkalbert/santander-eda-to-model-comparison", "kernel_id": "3197990"}, {"ref": "tilii7/old-school-linear-svm", "kernel_id": "3328015"}, {"ref": "tilii7/eliminate-features-recursively-cv", "kernel_id": "3342172"}, {"ref": "niyipop/simple-2-layer-nn-in-pytorch", "kernel_id": "3247575"}, {"ref": "niyipop/simple-xgboost-model", "kernel_id": "3813147"}, {"ref": "igauty/sctp-ml", "kernel_id": "3151744"}, {"ref": "igauty/sctp1", "kernel_id": "3110389"}, {"ref": "vishesh17/keras-nn-with-scaling-and-regularization", "kernel_id": "3011027"}, {"ref": "poppins/lgbm-extended-features-optimized", "kernel_id": "3135782"}, {"ref": "ebudia/simplelgbm-magic-0-91", "kernel_id": "3550656"}, {"ref": "ebudia/distributions-of-distributions", "kernel_id": "3383243"}, {"ref": "ebudia/simple-features-distributions", "kernel_id": "3436738"}, {"ref": "stinky/santander-dealing-with-imbalanced-data", "kernel_id": "3611276"}, {"ref": "isaranja/santander-time-distributed-dense-layer", "kernel_id": "3101922"}, {"ref": "isaranja/santander-eda-plotly", "kernel_id": "3412377"}, {"ref": "isaranja/santander-lgb-ae", "kernel_id": "3330687"}, {"ref": "quanghm/fastai-1-0-tabular-learner-with-ensemble", "kernel_id": "3010325"}, {"ref": "akashsharma/santander2", "kernel_id": "3237611"}, {"ref": "ajithvajrala/santander-customer-transaction-prediction", "kernel_id": "3199219"}, {"ref": "iggisv9t/autoencoder-for-data-structure-visualization", "kernel_id": "3400191"}, {"ref": "wwu651/auto-feature-engineering-lgb", "kernel_id": "3245811"}, {"ref": "robikscube/brainstorming-santander-features", "kernel_id": "3425909"}, {"ref": "frjo0083/lgbm-magic-sparse-3-fe", "kernel_id": "3480082"}, {"ref": "er9213/augment-catv2", "kernel_id": "3554703"}, {"ref": "drsergio/save-intermediate-results-for-stacking", "kernel_id": "3166819"}, {"ref": "pranaydugar/dense-net-2-gaussian-difference-features", "kernel_id": "3515484"}, {"ref": "arnabdan/nn-dropouts-early-stopping-acc-loss-plots", "kernel_id": "3267489"}, {"ref": "arnabdan/nn-dropouts-early-stopping-xgboost-ensemble", "kernel_id": "3551764"}, {"ref": "yuzusan/santander-draft-v3-eda-lgb-nn", "kernel_id": "3052581"}, {"ref": "goyalprashantk/kernel96ba465e25", "kernel_id": "3545616"}, {"ref": "bobsaget/submission-file-for-santander", "kernel_id": "3460306"}, {"ref": "rifatjahanazad/exploring-the-data", "kernel_id": "3394060"}, {"ref": "mingaliev/simple-xgbm-899", "kernel_id": "3169377"}, {"ref": "mingaliev/simple-lightgbm-0-898-lb", "kernel_id": "3168224"}, {"ref": "mingaliev/santander-lgb-new-features-rank-mean-10-folds", "kernel_id": "3180684"}, {"ref": "mingaliev/simple-xgboost-0-889-on-public", "kernel_id": "3167155"}, {"ref": "ranjoranjan/kernel83f071aec1", "kernel_id": "3259609"}, {"ref": "ranjoranjan/simple-lightgbm-0-899-lb", "kernel_id": "3176173"}, {"ref": "binilg/santander-compact-solution-8-lines-will-do", "kernel_id": "3265536"}, {"ref": "binilg/lightgbm-with-randomsearchcv-and-feature-imp", "kernel_id": "3100398"}, {"ref": "carlospk/features-stats-dendogram", "kernel_id": "3427518"}, {"ref": "jordimoragas/xgboost-cv-pred", "kernel_id": "3067663"}, {"ref": "jordimoragas/lightgbm-cv-pred", "kernel_id": "3067787"}, {"ref": "jordimoragas/san-catboost-01-linear-data", "kernel_id": "3031425"}, {"ref": "ronrickd/lasso-logistic", "kernel_id": "3260555"}, {"ref": "souravbose/a-start-in-python", "kernel_id": "3044933"}, {"ref": "jingbinxu/eda-pca-simple-lgbm-on-kfold-technique-479fd8", "kernel_id": "3433819"}, {"ref": "tkanand/kernel286cf35111", "kernel_id": "3515404"}, {"ref": "bharath25/starter-code-saving-and-loading-lgb-xgb-cb", "kernel_id": "3674944"}, {"ref": "nathandxn/exploratory-analysis-of-skewness-and-correlation", "kernel_id": "3072082"}, {"ref": "sandeep8530/keras-89-7-few-lessons-learnt", "kernel_id": "3358443"}, {"ref": "sandeep8530/pca-for-santander", "kernel_id": "3360416"}, {"ref": "nick2logan/eda-outlierremoval", "kernel_id": "3083681"}, {"ref": "nick2logan/basicmodels-originaldata", "kernel_id": "3150394"}, {"ref": "nick2logan/dimentionality-reduction", "kernel_id": "3126890"}, {"ref": "maarklam/logistic-regression-vs-neural-network", "kernel_id": "3215249"}, {"ref": "kanugeete/5-fold-classification-on-a-simple-neural-network", "kernel_id": "3537326"}, {"ref": "lucaskg/20th-solution-part-1-lgb-no-aug-92153", "kernel_id": "3558922"}, {"ref": "lucaskg/20th-solution-part-2-auc-weight-optimization", "kernel_id": "3559022"}, {"ref": "leonyang/blending-all", "kernel_id": "3522465"}, {"ref": "gpreda/santander-improved-starter-solution", "kernel_id": "3046749"}, {"ref": "gpreda/santander-fast-compact-solution", "kernel_id": "3047781"}, {"ref": "jatinpopli/project-santander-customer-transaction-predictions", "kernel_id": "3496430"}, {"ref": "jomaxx/area-under-the-roc-curve-explained", "kernel_id": "3236665"}, {"ref": "jomaxx/feature-importances-mutual-information", "kernel_id": "3118775"}, {"ref": "chiripurapu/nn-rlr-es-checkpoint-adam-std-regularize", "kernel_id": "3099957"}, {"ref": "jganzabal/naive-bayes-vectorization-multiprocessing", "kernel_id": "3389660"}, {"ref": "jganzabal/trying-to-understand-why-magic-counts-works", "kernel_id": "3750082"}, {"ref": "jganzabal/cnn-independence-counts-magic-0-92174-private", "kernel_id": "3713007"}, {"ref": "mks2192/list-of-fake-samples-and-public-private-lb-split", "kernel_id": "3369755"}, {"ref": "mks2192/model-that-overfitted-the-data", "kernel_id": "3549535"}, {"ref": "bombatkarvivek/sctp-exploratory-data-analysis-eda-modeling", "kernel_id": "3455096"}, {"ref": "sandeepkumar121995/santander-customer-transaction-prediction", "kernel_id": "3524307"}, {"ref": "sandeepkumar121995/magic-parameters", "kernel_id": "3234113"}, {"ref": "sandeepkumar121995/train-auc-0-930-valid-auc-0-917-lb-0-898", "kernel_id": "3425944"}, {"ref": "neibyr/simple-use-mean-target-encoding", "kernel_id": "3460093"}, {"ref": "juminator/nb-rf-and-simple-ensemble-with-both-models", "kernel_id": "3028198"}, {"ref": "juminator/pca-lr-lda-qda-simple-ensemble", "kernel_id": "3006923"}, {"ref": "yag320/list-of-fake-samples-and-public-private-lb-split", "kernel_id": "3338898"}, {"ref": "karangautam/everything-overfits", "kernel_id": "3139313"}, {"ref": "karangautam/keras-nn", "kernel_id": "3017892"}, {"ref": "karangautam/lightgbm-santander", "kernel_id": "3298992"}, {"ref": "karangautam/correcting-mistake", "kernel_id": "3262296"}, {"ref": "karangautam/oversampling-the-input", "kernel_id": "3402001"}, {"ref": "shrutimechlearn/santander-customer-transaction-pca-and-nb", "kernel_id": "3134932"}, {"ref": "haimfeld87/thoughts-about-var-81", "kernel_id": "3407434"}, {"ref": "krithi07/logistic-to-lightgbm-for-beginners", "kernel_id": "3175079"}, {"ref": "fatihozturk/competition-points-calculation", "kernel_id": "3614504"}, {"ref": "simr01/santardar-customer-tran-pred-keras-regression", "kernel_id": "3882281"}, {"ref": "ljjblackpig/eda-pca", "kernel_id": "3458716"}, {"ref": "jpnewmenji/data-exploration", "kernel_id": "3211110"}, {"ref": "ioohooi/an-eda-with-various-hypothesis-testing", "kernel_id": "3087661"}, {"ref": "nagulapatianusha369/santander-upsampling-minmaxscaler-bo-lgbm", "kernel_id": "3066389"}, {"ref": "nagulapatianusha369/santander-work-in-progress", "kernel_id": "3058516"}, {"ref": "maheshak04/simpl", "kernel_id": "3511568"}, {"ref": "axel81/nn-model-using-fastai-1-0-lb-score-0-879", "kernel_id": "3123104"}, {"ref": "raulml1981/sctp-01-an-lisis-exploratorio", "kernel_id": "3068330"}, {"ref": "drdivya/santandar-baseline-model-light-gbm", "kernel_id": "3307848"}, {"ref": "fl2ooo/nn-wo-pseudo-1-fold-seed", "kernel_id": "3561166"}, {"ref": "fl2ooo/create-data", "kernel_id": "3401471"}, {"ref": "sicongfang/eda-feature-engineering", "kernel_id": "3170646"}, {"ref": "neeraj22ny/catboost-with-smote-combination", "kernel_id": "3002643"}, {"ref": "yusukesaito0141/target-distribution", "kernel_id": "3424327"}, {"ref": "atomkevich/denoising-autoencoder-sample-v1", "kernel_id": "3348370"}, {"ref": "benjibb/denoised-autoencoder-for-feature-engineering", "kernel_id": "3371674"}, {"ref": "tlaiho/first-neural-net-model", "kernel_id": "3009424"}, {"ref": "safaeel/kernel4", "kernel_id": "3548960"}, {"ref": "baomengjiao/some-key-features-in-12th-solution-0-9239", "kernel_id": "3552452"}, {"ref": "naivelamb/multibranch-nn-baseline-magic", "kernel_id": "3469005"}, {"ref": "naivelamb/multibranch-nn-baseline-magic-aug", "kernel_id": "3471859"}, {"ref": "canonwu/save-intermediate-results-for-stacking", "kernel_id": "3144973"}, {"ref": "shivani1711/eda-feature-eng-lgb-gpu-cb-gpu-ranking", "kernel_id": "3348538"}, {"ref": "fdewes/lgbm-training-augmentation", "kernel_id": "3332488"}, {"ref": "yamashita/santander-transaction-stacking-1-0", "kernel_id": "3281218"}, {"ref": "yamashita/santander-eda-and-prediction-1b2dff", "kernel_id": "3184022"}, {"ref": "trushk/fitting-gaussian-mixtures", "kernel_id": "3458122"}, {"ref": "trushk/imbalanced-learn-for-handling-imbalanced-dataset", "kernel_id": "3380746"}, {"ref": "mathormad/knowledge-distillation-with-nn-rankgauss", "kernel_id": "3038236"}, {"ref": "danmoller/funny-pattern-with-non-perfectly-round-numbers", "kernel_id": "3522381"}, {"ref": "danmoller/modeling-features-with-many-normal-distributions", "kernel_id": "3449070"}, {"ref": "gtambi/lgbm-parameter-optimization-bayesian", "kernel_id": "3397320"}, {"ref": "gtambi/lgbm-augmentation", "kernel_id": "3296545"}, {"ref": "jacksonisaac/initial-eda-fastai-tabular-default-baseline", "kernel_id": "3109875"}, {"ref": "joaopmpeinado/let-s-show-some-magic-lb-0-922", "kernel_id": "3539373"}, {"ref": "dineshzero/simple-lgb-model", "kernel_id": "3074239"}, {"ref": "zxspectrum/catboost-gpu", "kernel_id": "3299499"}, {"ref": "rsinghal757/santandar-code-experiment", "kernel_id": "3101226"}, {"ref": "rsmits/cnn-1d-model", "kernel_id": "3299269"}, {"ref": "fionyip/new-player-logistic-reg-rforest-xgboost", "kernel_id": "3150890"}, {"ref": "geet9205/kernela542d5b38e", "kernel_id": "3444691"}, {"ref": "wangjilin/kernel568d536435", "kernel_id": "3582045"}, {"ref": "aritrase/pytorch-ff-nn", "kernel_id": "3297578"}, {"ref": "qinhui1999/denoising-autoencoder-sample-v1", "kernel_id": "3202585"}, {"ref": "sushrutshitoot/santander-draft-v2-eda-lgb-nn", "kernel_id": "3151769"}, {"ref": "tuanflash/simple-lgbm-model-add-feats-bayesopt", "kernel_id": "3486839"}, {"ref": "tuanflash/fork-of-simple-eda-and-single-model", "kernel_id": "3521379"}, {"ref": "mapodoufu/a-simple-soluton-public-913", "kernel_id": "3551966"}, {"ref": "rrathore01/two-different-distributions-in-data", "kernel_id": "3387427"}, {"ref": "gsdeepakkumar/predict-the-transactions", "kernel_id": "3090847"}, {"ref": "adish333/now-you-see-me-private-lb-914", "kernel_id": "3553381"}, {"ref": "ankitdhall97/basic-models", "kernel_id": "3164086"}, {"ref": "mchatham/density-of-each-variable", "kernel_id": "3085544"}, {"ref": "mchatham/logisticregressioncv-varselection-resampling", "kernel_id": "3051996"}, {"ref": "markobigdata/plotting-features-and-logs", "kernel_id": "3074788"}, {"ref": "vamshigunji/kernel6b0e74b753", "kernel_id": "3640019"}, {"ref": "egregori/handle-imbalance-data-with-neural-network", "kernel_id": "3074473"}, {"ref": "rahullalu/santander-ctp-feature-clustering", "kernel_id": "3334446"}, {"ref": "pracas/decision-tree-visualisation", "kernel_id": "3427569"}, {"ref": "pracas/z-score-lgb-2-leaves-augment", "kernel_id": "3427330"}, {"ref": "pracas/fast-pdf-correlation-matrix-how-many-groups", "kernel_id": "3423327"}, {"ref": "pracas/are-vars-mixed-up-time-intervals-cormat", "kernel_id": "3395266"}, {"ref": "bharatsingh213/santander-customer-transaction-prediction", "kernel_id": "3092056"}, {"ref": "dursunkoc/rapska", "kernel_id": "3324891"}, {"ref": "rajeshcv/tensorflow-models", "kernel_id": "3344239"}, {"ref": "rajeshcv/understanding-features", "kernel_id": "3089021"}, {"ref": "bhupendramishra2504/santander-submission", "kernel_id": "3141505"}, {"ref": "blackblitz/gaussian-mixture-naive-bayes", "kernel_id": "3119498"}, {"ref": "blackblitz/radius-neighbors-naive-bayes", "kernel_id": "3353538"}, {"ref": "seriousran/0-and-1-distributions-in-each-features", "kernel_id": "3293537"}, {"ref": "seriousran/dist-of-suspicious-vars-with-legendary-var-68", "kernel_id": "3295485"}, {"ref": "ricksun/xgboost-stratifiedkfold-for-beginner", "kernel_id": "3392429"}, {"ref": "dromosys/gpu-accelerated-lightgbm-full", "kernel_id": "3108572"}, {"ref": "omgrodas/baseline-nn-with-fast-ai", "kernel_id": "3283376"}, {"ref": "omgrodas/lightgbm-with-data-augmentation", "kernel_id": "3319789"}, {"ref": "praveenvijayarangan/santender-r-glm", "kernel_id": "3445210"}, {"ref": "nekoumei/simple-eda-difference-in-dist-train-and-test", "kernel_id": "3429274"}, {"ref": "miklgr500/nn-embedding", "kernel_id": "3405488"}, {"ref": "adarsh415/santander-customer-transaction-tensorflow", "kernel_id": "3254459"}, {"ref": "adarsh415/solving-santander-customer-transaction-problem", "kernel_id": "3222488"}, {"ref": "ncsuahlusar/gaussian-naive-bayes", "kernel_id": "3887787"}, {"ref": "evilpsycho42/effect-of-joint-distribution-on-targets-update", "kernel_id": "3280534"}, {"ref": "returnofsputnik/what-are-the-most-common-numbers", "kernel_id": "3244865"}, {"ref": "returnofsputnik/study-santander-clustering-1-to-30-kmeans", "kernel_id": "3234212"}, {"ref": "returnofsputnik/does-binning-bimodal-variables-improve", "kernel_id": "3179274"}, {"ref": "returnofsputnik/frequentist-inference-approach-to-santander-round0", "kernel_id": "3325972"}, {"ref": "returnofsputnik/number-of-unique-values-are-eerily-close", "kernel_id": "3401786"}, {"ref": "returnofsputnik/lgbm-count-differences-2", "kernel_id": "3402465"}, {"ref": "returnofsputnik/lgbm-count-differences", "kernel_id": "3402315"}, {"ref": "jialinzhang/bayesianridge-oversampling", "kernel_id": "3111708"}, {"ref": "jialinzhang/linearregression-oversampling", "kernel_id": "3111813"}, {"ref": "jialinzhang/xgb-oversampling", "kernel_id": "3111227"}, {"ref": "jialinzhang/lr-oversampling", "kernel_id": "3111342"}, {"ref": "jialinzhang/xgb-bayesianoptimization", "kernel_id": "3086967"}, {"ref": "jialinzhang/dataexploration-randomforest-bayesianoptimization", "kernel_id": "3073065"}, {"ref": "jinudaniel/lightgbm-xgboost-and-catboost", "kernel_id": "3196943"}, {"ref": "kvsivasankar/santander-customer-transaction-lgbm-xg-catboost", "kernel_id": "3900064"}, {"ref": "kvsivasankar/santander-customer-transaction-prediction", "kernel_id": "3716456"}, {"ref": "mohanamurali/naive-baye-stacked-with-xgboost-bayesian-optim", "kernel_id": "3132317"}, {"ref": "nakany15/undersample-bagging", "kernel_id": "3284316"}, {"ref": "nakany15/geneticprogrammingfeatureengineering", "kernel_id": "3356691"}, {"ref": "hatunina/no-training-challenge", "kernel_id": "3363340"}, {"ref": "hozler/lets-enjoy-neural-nets-a-bit", "kernel_id": "3068331"}, {"ref": "stryker0710/what-if-features-transactions", "kernel_id": "3141818"}, {"ref": "taohoang/santander-magic-lgb-0-901-a2f5f9", "kernel_id": "3505199"}, {"ref": "tarunpaparaju/santander-data-visualization", "kernel_id": "3172303"}, {"ref": "tarunpaparaju/santander-genetic-feature-engineering", "kernel_id": "3047860"}, {"ref": "asrsaiteja/eda-santander-customer-transaction-prediction", "kernel_id": "3139520"}, {"ref": "cmotla/kernel1cba25cb0c", "kernel_id": "3538914"}, {"ref": "mmreza/santander-lgb-with-kfold", "kernel_id": "3096547"}, {"ref": "askolkova/customer-transaction-prediction-a-s", "kernel_id": "3672061"}, {"ref": "coolaks/pytorch-complete-nn-santander-comp", "kernel_id": "3450398"}, {"ref": "coolaks/lgbm-kfold-feat-eng", "kernel_id": "3450841"}, {"ref": "kensengds2019/santander-eda", "kernel_id": "3199114"}, {"ref": "marcosmedvescig/xgboost-bayesian-search-cv-titanic-data", "kernel_id": "3735101"}, {"ref": "abdouljalil/auc-0-86-with-any-ml-model-just-maths", "kernel_id": "3426008"}, {"ref": "x8x8d3n9/true-unique-counting-vs-sample-from-normal", "kernel_id": "3553672"}, {"ref": "x8x8d3n9/fake-unique-counting-vs-sample-from-normal", "kernel_id": "3554320"}, {"ref": "x8x8d3n9/syn-in-test-unique-counting-vs-normal", "kernel_id": "3554549"}, {"ref": "x8x8d3n9/simple-lightbgm-baseline-model", "kernel_id": "3096541"}, {"ref": "viswajithkn/santander-unbalanced-data", "kernel_id": "3097436"}, {"ref": "infoabhitech/santander-customer-prediction-adaboost-smote", "kernel_id": "3513118"}, {"ref": "infoabhitech/santander-cust-pred-sampling-boosting", "kernel_id": "3640731"}, {"ref": "iampraveeniyer/santander-customer-transactions-prediction-v1", "kernel_id": "3040787"}, {"ref": "ikunobu/santander-01", "kernel_id": "3948785"}, {"ref": "christofhenkel/nn-with-magic-augmentation", "kernel_id": "3522188"}, {"ref": "sibmike/subtracting-normality", "kernel_id": "3391455"}, {"ref": "sibmike/are-vars-mixed-up-time-intervals", "kernel_id": "3391460"}, {"ref": "theoverfitter3139/lightgbm-with-gridsearch-starter-1", "kernel_id": "3282243"}, {"ref": "plasticgrammer/santander-customer-transaction-gaussiannb", "kernel_id": "3248888"}, {"ref": "mgiraygokirmak/xgboost-gpu-w-feature-attention", "kernel_id": "3066099"}, {"ref": "graf10a/santander-eli5-weights-for-lightgbm", "kernel_id": "3228278"}, {"ref": "graf10a/logistic-regression-with-new-features-feather", "kernel_id": "3127602"}, {"ref": "graf10a/data-serialization", "kernel_id": "3167758"}, {"ref": "graf10a/overshuffling", "kernel_id": "3280875"}, {"ref": "graf10a/santander-lgbm-fe-augmentation-cv-5", "kernel_id": "3552611"}, {"ref": "rednivrug/dae-with-lightgbm", "kernel_id": "3184137"}, {"ref": "krasnovna/pygam-strong-and-interpretable", "kernel_id": "3533999"}, {"ref": "dude431/is-there-any-magic-for-cat", "kernel_id": "3468762"}, {"ref": "soumikdg/a-simple-clustering-based-pipe-line", "kernel_id": "3439000"}, {"ref": "manishks/kernelee24d12c85", "kernel_id": "3524334"}, {"ref": "boombasteek/nn-keras-scaler-cmp", "kernel_id": "3310841"}, {"ref": "dgranuzzo/modified-naive-bayes-santander-0-899", "kernel_id": "3365980"}, {"ref": "tanreinama/magic-feature-engineering-unfinished", "kernel_id": "3075861"}, {"ref": "tanreinama/lightgbm-minimize-leaves-with-feature-enginering", "kernel_id": "3002527"}, {"ref": "sarmat/eda-and-preprocessing-example", "kernel_id": "3267777"}, {"ref": "sarmat/lgbm-stacking-example", "kernel_id": "3087888"}, {"ref": "abhigupta4981/fastai-baseline-public-lb-0-898", "kernel_id": "3082500"}, {"ref": "b5strbal/lightgbm-naive-bayes-santander-0-900", "kernel_id": "3370402"}, {"ref": "hakeydotcom/check-train-test-covariate-shift", "kernel_id": "3031631"}, {"ref": "madagasygirl/explaining-decision-trees-with-the-iris-dataset", "kernel_id": "3086654"}, {"ref": "jiazhuang/z-value-as-features-to-train-nn-lgb-nb-models", "kernel_id": "3344541"}, {"ref": "jiazhuang/a-proof-of-synthetic-data", "kernel_id": "3331476"}, {"ref": "jiazhuang/demonstrate-naive-bayes", "kernel_id": "3364081"}, {"ref": "omarmorsli/neural-network-lgbm", "kernel_id": "3478738"}, {"ref": "jprusso/deep-learning", "kernel_id": "3124672"}, {"ref": "dnik007/santander-challenge", "kernel_id": "3463756"}, {"ref": "abbbhishekkk/santandar-customer-transactions-prediction", "kernel_id": "3246201"}, {"ref": "apurvasinha2003/light-gbm-with-eda", "kernel_id": "3127163"}, {"ref": "mikelkn/how-to-oversample-for-beginners-lb-score-0-788", "kernel_id": "3143835"}, {"ref": "marcospcsj/simple-xgboost-test", "kernel_id": "3122780"}, {"ref": "marcospcsj/kernel-cod-valid-cruzada-lgbm", "kernel_id": "3223558"}, {"ref": "chizhu2018/lgb-sct-600", "kernel_id": "3494914"}, {"ref": "chizhu2018/augment-catv2", "kernel_id": "3496431"}, {"ref": "mhviraf/there-are-no-categorical-features", "kernel_id": "3459500"}, {"ref": "mhviraf/santander-compact-solution-14-lines-will-do", "kernel_id": "3257690"}, {"ref": "mhviraf/what-a-decision-tree-cannot-see-ver-2", "kernel_id": "3488902"}, {"ref": "mhviraf/what-a-decision-tree-cannot-see", "kernel_id": "3531224"}, {"ref": "joe1995/weird-thing-search", "kernel_id": "3446278"}, {"ref": "gilzamir/using-deep-learning-with-keras", "kernel_id": "3404323"}, {"ref": "luancaius/santander-transactions-v1", "kernel_id": "3152959"}, {"ref": "kmezhoud/tree-classification-by-recursive-partitioning", "kernel_id": "3322972"}, {"ref": "kmezhoud/ann-with-multi-layer-perception-keras-mlp", "kernel_id": "3426781"}, {"ref": "kmezhoud/a-simple-xgboost-application", "kernel_id": "3519665"}, {"ref": "kmezhoud/straight-to-xgboost-tree", "kernel_id": "3539660"}, {"ref": "denisco/logistic-experement-0-887", "kernel_id": "3396881"}, {"ref": "itashi/lgb-bayesian-parameters-finding-rank-average", "kernel_id": "3070955"}, {"ref": "itashi/ensemble-learning-methods", "kernel_id": "3067956"}, {"ref": "itashi/text-mining-bag-of-words-tf-idf-word2vec", "kernel_id": "3222804"}, {"ref": "mueno115/randomly-shuffle-python", "kernel_id": "3311919"}, {"ref": "nroman/detecting-outliers-with-chauvenet-s-criterion", "kernel_id": "3436732"}, {"ref": "ansel2/my-santander-solution-with-r", "kernel_id": "3551572"}, {"ref": "apj1995/lightgbm0-9", "kernel_id": "3240603"}, {"ref": "apj1995/create-an-ensemble-model", "kernel_id": "3063678"}, {"ref": "cdeotte/modified-naive-bayes-santander-0-899", "kernel_id": "3350111"}, {"ref": "cdeotte/200-magical-models-santander-0-920", "kernel_id": "3548500"}, {"ref": "rishikoush/customer-transaction-prediction", "kernel_id": "3639143"}, {"ref": "akshay235/sctp-kernel", "kernel_id": "3017453"}, {"ref": "harshel7/transaction-prediction-ensemble-nn-lgbm-cat", "kernel_id": "3178915"}, {"ref": "qitian51212/simple-magic-var-0-922", "kernel_id": "3552140"}, {"ref": "ymatioun/santander-linear-model-with-additional-features", "kernel_id": "3106138"}, {"ref": "ymatioun/santander-model-one-feature-at-a-time", "kernel_id": "3254347"}, {"ref": "garikhakobyan/fork-of-ann-in-the-go", "kernel_id": "3273089"}, {"ref": "garikhakobyan/upgrade-on-ann", "kernel_id": "3273665"}, {"ref": "garikhakobyan/lda-and-regression-analysis", "kernel_id": "3283266"}, {"ref": "bhush98/transactionprediction-using-logistic-regression", "kernel_id": "3002456"}, {"ref": "zikazika/reusable-insightful-eda", "kernel_id": "3283574"}, {"ref": "josh24990/santander-customer-transaction-prediction", "kernel_id": "3428434"}, {"ref": "kojimar/single-feature-prediction", "kernel_id": "3488498"}, {"ref": "laplaceplanet/just-params-0-900", "kernel_id": "3251958"}, {"ref": "pathofdata/lightgbm-out-of-the-box", "kernel_id": "3091179"}, {"ref": "canakyldrm/lgbm-and-k-fold", "kernel_id": "3857590"}, {"ref": "hiro310/santander-tree", "kernel_id": "3085738"}, {"ref": "akhileshrai003/logistic-regression-with-new-features-feather", "kernel_id": "3144101"}, {"ref": "adrianlievano/light-gbm-with-stratified-kfold", "kernel_id": "3461343"}, {"ref": "vikram687/eda-santander-customer-transaction", "kernel_id": "3422125"}, {"ref": "patrickli/model-ensembling", "kernel_id": "3538101"}, {"ref": "patrickli/superlearner-stacking-starter", "kernel_id": "3546964"}, {"ref": "woshichendu/santander-ctp", "kernel_id": "3047179"}, {"ref": "woshichendu/santander", "kernel_id": "3051893"}, {"ref": "shubham311994/santander-new", "kernel_id": "3152500"}, {"ref": "shubham311994/san-tander", "kernel_id": "3550378"}, {"ref": "sinhagaurav02/santander-deep-learning-implementation", "kernel_id": "3006456"}, {"ref": "jsarda/predict-3-0", "kernel_id": "3106608"}, {"ref": "jsarda/predict", "kernel_id": "3081370"}, {"ref": "ruby33421/quick-start-0-9-lgb-with-new-features", "kernel_id": "3158672"}, {"ref": "naraque/red-neuronal-keras", "kernel_id": "3020511"}, {"ref": "subodanirodrigo/xgboost-for-santander-customer-transaction", "kernel_id": "3522813"}, {"ref": "ashirahama/simple-random-forest", "kernel_id": "3025964"}, {"ref": "interneuron/simply-sorting", "kernel_id": "3329271"}, {"ref": "t26wtnb/adabound-optimizer-dnn-v-s-adam-experiment", "kernel_id": "3160355"}, {"ref": "bhaveshthaker/sctp-exploratory-data-analysis-eda-modeling", "kernel_id": "3424779"}, {"ref": "roydatascience/blender-of-0-901-solutions", "kernel_id": "3343550"}, {"ref": "roydatascience/santander-transaction-stacking-1-0", "kernel_id": "3280853"}, {"ref": "roydatascience/eda-pca-simple-lgbm-on-kfold-technique", "kernel_id": "3277695"}, {"ref": "roydatascience/eda-pca-lgbm-santander-transactions", "kernel_id": "3233321"}, {"ref": "vikash1a2b3c/transaction-prediction-using-catboost-and-kfold", "kernel_id": "3175474"}, {"ref": "ubaid01/kernel8d8c92de47", "kernel_id": "3233973"}, {"ref": "emand2pac/woe-decomposition-lgb", "kernel_id": "3249974"}, {"ref": "williamseck/santander-customer-transaction-prediction", "kernel_id": "3058854"}, {"ref": "aawanghui/catboost", "kernel_id": "3306136"}, {"ref": "aawanghui/santander-nn", "kernel_id": "3216641"}, {"ref": "aawanghui/catboostalsoworks", "kernel_id": "3524143"}, {"ref": "nadare/catboost-with-gpu", "kernel_id": "3506346"}, {"ref": "rajaswa/simple-catboost-classifier", "kernel_id": "3005826"}, {"ref": "harshpyati/kernel65d73a8fcc", "kernel_id": "3104822"}, {"ref": "tandonarpit6/santander-customer-lgb-neural-network", "kernel_id": "3219642"}, {"ref": "miljan/overfitting-nn", "kernel_id": "3399992"}, {"ref": "nholloway/comparing-resampling-techniques-and-xgboost", "kernel_id": "3247963"}, {"ref": "pnussbaum/santander-genetically-engineered-features-v07", "kernel_id": "3313181"}, {"ref": "pnussbaum/santander-statistics-v04", "kernel_id": "3156613"}, {"ref": "mcclymont/santander-neural-net", "kernel_id": "3609800"}, {"ref": "mauryaravi/snatander-customer-transaction-prediction", "kernel_id": "3423704"}, {"ref": "mauryaravi/santander-script", "kernel_id": "3435552"}, {"ref": "wuliaokaola/santander-lb-0-869-no-need-to-train", "kernel_id": "3347215"}, {"ref": "bejeweled/h2o-santander-gridsearch", "kernel_id": "3424321"}, {"ref": "bejeweled/stats-features-lgbm", "kernel_id": "3275737"}, {"ref": "bejeweled/santander-eda", "kernel_id": "3353491"}, {"ref": "kwonyoung234/too-many-names-of-params-in-lgbm", "kernel_id": "3003424"}, {"ref": "kalyankkr/simple-nn", "kernel_id": "3001341"}, {"ref": "tommyliucan/santander-eda", "kernel_id": "3501205"}, {"ref": "jacky5112/santander-customer-transaction-prediction-cnn", "kernel_id": "3313102"}, {"ref": "johnwei66/simple-xgb", "kernel_id": "3442822"}, {"ref": "johnwei66/simple-logistic-regression", "kernel_id": "3428236"}, {"ref": "mayankkestwal10/santander-catboost", "kernel_id": "3441477"}, {"ref": "mayankkestwal10/santandar", "kernel_id": "3070337"}, {"ref": "flubber/santander-customer-s-likelihood-to-purchase-nb", "kernel_id": "3824356"}, {"ref": "flubber/santander-customer-s-likelihood-to-purchase-gbm", "kernel_id": "3846492"}, {"ref": "flubber/santander-customer-s-likelihood-to-purchase-ann", "kernel_id": "3779879"}, {"ref": "ozanozgur/don-t-overfit-to-cv-oversampling-mean-encoding", "kernel_id": "3300134"}, {"ref": "deepak525/best-parameters-lb-0-900", "kernel_id": "3097597"}, {"ref": "arunsing/santandar-eda-and-prediction", "kernel_id": "3192730"}, {"ref": "arunsing/fork-of-santandar-eda-and-prediction", "kernel_id": "3380443"}, {"ref": "prayanshratan/santander-customer", "kernel_id": "3188674"}, {"ref": "hjd810/keras-lgbm-aug-feature-eng-sampling-prediction", "kernel_id": "3367939"}, {"ref": "hjd810/the-weighted-prediction-cross-validation-approach", "kernel_id": "3428124"}, {"ref": "jatinmittal0001/santander-binary-classification", "kernel_id": "3073729"}, {"ref": "subrahmanyamv/santander-target-encoding-0-910", "kernel_id": "3566690"}, {"ref": "subrahmanyamv/santander-sorted-features", "kernel_id": "3372989"}, {"ref": "vaishnavinath/before-and-after-smote", "kernel_id": "3366592"}, {"ref": "swarnim97/simple-neural-network", "kernel_id": "3215323"}, {"ref": "arulrajj/gridsearchcv", "kernel_id": "3223668"}, {"ref": "pipidog/simplest-model-naive-bayes-auc-0-89", "kernel_id": "3392330"}, {"ref": "nikitaomare/kernela4cb13745e", "kernel_id": "3388242"}, {"ref": "khwajawisal/fork-of-pytorch-nn-cyclelr-k-fold-0-920-with-aug", "kernel_id": "3704046"}, {"ref": "nagiss/9-solution-nagiss-part-2-2-weight-sharing-nn", "kernel_id": "3558371"}, {"ref": "nagiss/how-we-found-real-fake-and-public-private-split", "kernel_id": "3581792"}, {"ref": "nagiss/9-solution-nagiss-part-1-2-2step-lgbm", "kernel_id": "3567533"}, {"ref": "mayank1261998/santander-avengers-ensemble", "kernel_id": "3371603"}, {"ref": "ibozkurt79/santander-lightgbm-a-boost-with-bayesiansearch", "kernel_id": "3139109"}, {"ref": "tturan27/santander", "kernel_id": "3211969"}, {"ref": "kamalchhirang/simple-lightgbm-with-good-parameters", "kernel_id": "3220485"}, {"ref": "zadiyounes/text-detection", "kernel_id": "3616794"}, {"ref": "marekwyborski/features-with-spikes", "kernel_id": "3426501"}, {"ref": "vishalbajaj2000/santander-lgbm-baseline", "kernel_id": "3115058"}, {"ref": "vishalbajaj2000/santander-lightgbm-xgb-feature-interactions", "kernel_id": "3236545"}, {"ref": "jaredturner/sgd-classifier-no-probs", "kernel_id": "3351866"}, {"ref": "mattburt07/santander-comp-simple-linear-nn-pytorch", "kernel_id": "3298417"}, {"ref": "somang1418/tuning-hyperparameters-under-10-minutes-lgbm", "kernel_id": "3050264"}, {"ref": "samueltommzy/ctprediction-model", "kernel_id": "3244678"}, {"ref": "samueltommzy/santander-customerprediction-model", "kernel_id": "3324473"}, {"ref": "rishrk007/santander-transaction", "kernel_id": "3058623"}, {"ref": "pk5097/santander-customer-transaction-prediction", "kernel_id": "3057642"}, {"ref": "adamlouly/from-var-68-to-11-new-features", "kernel_id": "3426661"}, {"ref": "tasnimfatima/only-kmeansclustering-and-lgbm", "kernel_id": "3494506"}, {"ref": "tasnimfatima/lgbm-with-no-augmentation", "kernel_id": "3531551"}, {"ref": "debjoydas/customer-transaction", "kernel_id": "3154559"}, {"ref": "niteshx2/keras-lgbm-aug-feature-eng-sampling-predic", "kernel_id": "3493205"}, {"ref": "niteshx2/beginner-explained-lgb-2-leaves-augment", "kernel_id": "3398084"}, {"ref": "yoheiii/bayesian-optimization-for-santandar", "kernel_id": "3507850"}, {"ref": "yoheiii/almost-final-submission", "kernel_id": "3537332"}, {"ref": "dalip98/santandar-customer-prediction-using-decision-tree", "kernel_id": "3164413"}, {"ref": "ldm314/dnn-keras-santander", "kernel_id": "3009990"}, {"ref": "ldm314/catboosting-to-0-896", "kernel_id": "3014980"}, {"ref": "fcodatasci/never-give-up-157th-place-last-minute-magic", "kernel_id": "3569979"}, {"ref": "gaurav146/customer-prediction-lgbm", "kernel_id": "3285560"}, {"ref": "tahirmuslimscientist/best-feature-engineering-techniques-for-ml", "kernel_id": "3227845"}, {"ref": "lockeza/convolutional-nn-model", "kernel_id": "3282562"}, {"ref": "sreekarchidurala/santander", "kernel_id": "3214744"}, {"ref": "raushan000/kernela5ec979588", "kernel_id": "3113036"}, {"ref": "prasad22s/kernelffd24dfd31", "kernel_id": "3385962"}, {"ref": "amrmahmoud123/1-guide-to-ensembling-methods", "kernel_id": "3654063"}, {"ref": "amrmahmoud123/lightgbm-fe", "kernel_id": "3279272"}, {"ref": "amrmahmoud123/lgb-au", "kernel_id": "3379970"}, {"ref": "amanoswal/kerneldfa1344a91", "kernel_id": "3408903"}, {"ref": "cherifabedrazek/santander-competition-first-interaction", "kernel_id": "3447261"}, {"ref": "frtgnn/santander-eda-prediction-augmentation", "kernel_id": "3102744"}, {"ref": "offirinbar/santander-kaggle", "kernel_id": "3523830"}, {"ref": "djordjenedeljkovic/santander-customer", "kernel_id": "3257918"}, {"ref": "uvaneshwaran/santander-customer-transaction-predicted-uva", "kernel_id": "3088299"}, {"ref": "amishgadigi/blind-kfold-stack-xgboost-prediction", "kernel_id": "3077305"}, {"ref": "amishgadigi/blind-xgboost-prediction", "kernel_id": "3076395"}, {"ref": "jazivxt/blender", "kernel_id": "3220685"}, {"ref": "shef4793/transaction-prediction-using-nn-under-sampling", "kernel_id": "3912707"}, {"ref": "palbha/santander-customer-transaction-prediction", "kernel_id": "3869586"}, {"ref": "charlessuhartanto/looking-at-data", "kernel_id": "3224541"}, {"ref": "tankist88/xgb-with-k-fold", "kernel_id": "3155471"}, {"ref": "lordtt13/bi-time-series-model", "kernel_id": "3475023"}, {"ref": "hisam1/fork-of-kerneledca642814", "kernel_id": "3479684"}, {"ref": "peterheindl/variable-importance-with-r-and-glmnet", "kernel_id": "3121734"}, {"ref": "peterheindl/lgbm-parameter-tuning-with-bayesian-optimisation", "kernel_id": "3285072"}, {"ref": "peterheindl/lightgbm-random-parameter-search-auc-threshold", "kernel_id": "3266535"}, {"ref": "peterheindl/simple-model-stacking-using-mlxtend", "kernel_id": "3375623"}, {"ref": "matheuspush/santander-my-keras-model", "kernel_id": "3551861"}, {"ref": "matheuspush/santander-imbalanced-random-forest", "kernel_id": "3520294"}, {"ref": "sohaibanwaar1203/diminsionality-reduction-and-smote-sampling", "kernel_id": "3185601"}, {"ref": "sandan0o0/lgb-regression", "kernel_id": "3111007"}, {"ref": "zakraicik/ensemble-gnb-xgboost-lb-0-895", "kernel_id": "3116135"}, {"ref": "zakraicik/fast-ai-start-no-resample", "kernel_id": "3065739"}, {"ref": "zakraicik/fast-ai-starter-w-smote-resample", "kernel_id": "3040314"}, {"ref": "navarro380/santander-eda-keras-model-logistic-reg-lasso", "kernel_id": "3463719"}, {"ref": "stevexyu/decision-tree-baseline-for-santander", "kernel_id": "3456814"}, {"ref": "stevexyu/kfold-convolutional-neural-network", "kernel_id": "3512444"}, {"ref": "stevexyu/split-training-using-lightgbm-with-kfold", "kernel_id": "3551086"}, {"ref": "lavanyadml/santander-ls", "kernel_id": "3220090"}, {"ref": "lakshmi25npathi/santander-customer-transaction-prediction-using-r", "kernel_id": "3923854"}, {"ref": "lakshmi25npathi/santander-customer-transaction-prediction-python", "kernel_id": "3922843"}, {"ref": "ytochii/dnn-linear-batchnormalization-using-chainer", "kernel_id": "3139134"}, {"ref": "selakavon/kernel476e3326b3", "kernel_id": "3303559"}, {"ref": "piyushm807/xgboost-basic-first-ever-kaggle-competition", "kernel_id": "3467196"}, {"ref": "gorokhovnik/one-line-solution-what-for", "kernel_id": "3274629"}, {"ref": "shawngoldw/santander-neural-network-classification", "kernel_id": "3058518"}, {"ref": "gunasow/simplegb", "kernel_id": "3101743"}, {"ref": "lzsraja/kernal-fe-gp-lgbm-keras", "kernel_id": "3511847"}, {"ref": "alexeych/strange-value-count-distributions", "kernel_id": "3363251"}, {"ref": "filipeborato/santander-predctions", "kernel_id": "3326928"}, {"ref": "raimonds1993/gbms-cpu-vs-gpu-400-features-augmentation", "kernel_id": "3672855"}, {"ref": "qhd0081/xgbmodel", "kernel_id": "3890382"}, {"ref": "elcaiseri/simple-gnb-and-pipeline-model-with-eda", "kernel_id": "3525414"}, {"ref": "sandeeppat/fastai-tabular-learner-baseline", "kernel_id": "3275882"}, {"ref": "mitjasha/854-easy-nn-for-santander", "kernel_id": "3277182"}, {"ref": "mitjasha/lightgbm-with-blender-and-augment", "kernel_id": "3376371"}, {"ref": "nassiel/random-forest", "kernel_id": "3367555"}, {"ref": "ttomas91/satander4-2-2-lgb-fake-train-aug", "kernel_id": "3376225"}, {"ref": "wanderdust/santander-customer-satisfaction-pablo-jorge", "kernel_id": "3195361"}, {"ref": "nazirashaikh/santander-customer-prediction", "kernel_id": "3002729"}, {"ref": "abhisingh879/santander-customertransaction-using-xgboost", "kernel_id": "3365440"}, {"ref": "itslek/automl-easy-with-h2o-santander-transaction-v3", "kernel_id": "3265670"}, {"ref": "matthew886/deep-learning", "kernel_id": "3334365"}, {"ref": "matthew886/easy-nn-for-santander", "kernel_id": "3370297"}, {"ref": "rahul516/santander-decisiontree", "kernel_id": "3112742"}, {"ref": "wlakinsson/santander-data-imbalance-fe", "kernel_id": "3367113"}, {"ref": "wlakinsson/santander-testing-pipeline", "kernel_id": "3408576"}, {"ref": "huangzhiyong/a-simple-lgb-base-on-undersampler", "kernel_id": "3181692"}, {"ref": "yujirokita/adversarial-validation", "kernel_id": "3117204"}, {"ref": "m3yrin/santander-with-pfnet-autogbt", "kernel_id": "3464125"}, {"ref": "m3yrin/simple-eda-lightgbm-prediction", "kernel_id": "3196288"}, {"ref": "ssslarry/2-layers-lightgbm", "kernel_id": "3312948"}, {"ref": "lopost/santander-nn-v2", "kernel_id": "3400231"}, {"ref": "rsaund/sant-model-check", "kernel_id": "3514796"}, {"ref": "nandishsr/santander-customer-transaction-prediction", "kernel_id": "3308611"}, {"ref": "painsama/testing-estimators-feature-engineering", "kernel_id": "3334871"}, {"ref": "ilu000/santander-lgbm-detect-fake-train", "kernel_id": "3351879"}, {"ref": "ilu000/unique-values-in-train-test-real-test-fake", "kernel_id": "3351590"}, {"ref": "ilu000/simplistic-magic-lgbm", "kernel_id": "3556087"}, {"ref": "seanbb93/pica-santander-eda", "kernel_id": "3048263"}, {"ref": "seanbb93/pica-sctp-how-it-works", "kernel_id": "3046848"}, {"ref": "eshugoel/cust-trans-cnn-0-878", "kernel_id": "3555551"}, {"ref": "eshugoel/cust-trans-augment-cv-lightgbm-0-901", "kernel_id": "3555458"}, {"ref": "subhamsharma96/santander-augment-to-the-rescue", "kernel_id": "3104347"}, {"ref": "felipemello/step-by-step-guide-to-the-magic-lb-0-922", "kernel_id": "3557757"}, {"ref": "felipemello/why-your-model-is-overfitting-not-making-progress", "kernel_id": "3498755"}, {"ref": "felipemello/boosting-creativity-towards-feature-engineering", "kernel_id": "3338785"}, {"ref": "anirudh2292/svc-santander", "kernel_id": "3074692"}, {"ref": "silantev/santander-prediction-using-gaussiannb", "kernel_id": "3295490"}, {"ref": "silantev/santander-prediction-based-on-the-statistics", "kernel_id": "3423729"}, {"ref": "gunesevitan/santander-customer-transaction-eda-fe-lgb", "kernel_id": "3163498"}, {"ref": "mailyousufkhan/santander", "kernel_id": "3282832"}, {"ref": "yngspacecadet/fastai-tabular-model", "kernel_id": "3558673"}, {"ref": "mahyaret/santander-eda-using-xgboost-with-gpu-support", "kernel_id": "3369591"}, {"ref": "mahyaret/logistic-regression-confusion-matrix-auc-roc", "kernel_id": "3031697"}, {"ref": "dmacgirr/summary-df", "kernel_id": "3481296"}, {"ref": "dmacgirr/glm-on-reduced-vars", "kernel_id": "3491524"}, {"ref": "dmacgirr/balancing-target-variable-rpart", "kernel_id": "3500963"}, {"ref": "dmacgirr/glm-on-balanced-sample-reduced-vars", "kernel_id": "3502194"}, {"ref": "dmacgirr/naive-bayes-normalized", "kernel_id": "3506445"}, {"ref": "dmacgirr/test-with-smote-and-nb", "kernel_id": "3449375"}, {"ref": "dmacgirr/quick-anova-analysis-with-glm", "kernel_id": "3449380"}, {"ref": "dmacgirr/naive-bayes-not-normalized", "kernel_id": "3260986"}, {"ref": "bersenev/santander-eda-and-prediction", "kernel_id": "3001484"}, {"ref": "arushiburson/santander-customer-transaction-prediction", "kernel_id": "3000647"}, {"ref": "society765/kernel-xgboost-cv", "kernel_id": "3256993"}, {"ref": "nawidsayed/lightgbm-and-cnn-3rd-place-solution", "kernel_id": "3556477"}, {"ref": "dpamgautam/santander-prediction", "kernel_id": "3467227"}, {"ref": "samyak0112/kernel4e4a28744b", "kernel_id": "3283392"}, {"ref": "smohubal/santander-customer-transaction-prediction", "kernel_id": "3601814"}, {"ref": "rmadhnakv2/3-layer-ann", "kernel_id": "3223963"}, {"ref": "jesucristo/santander-magic-lgb-0-901", "kernel_id": "3212328"}, {"ref": "jesucristo/30-lines-starter-solution-fast", "kernel_id": "3232686"}, {"ref": "jesucristo/90-lines-solution-0-901-fast", "kernel_id": "3310138"}, {"ref": "jesucristo/top-1-in-40-lines", "kernel_id": "3351551"}, {"ref": "reidempey/santander-classification-problem-w-tyler", "kernel_id": "3259011"}, {"ref": "bayuaji1997/bayes", "kernel_id": "3298785"}, {"ref": "rafaelb1/modelos-testes", "kernel_id": "3005737"}, {"ref": "bochuanwu/cnn-model-auto-featured-test", "kernel_id": "3021471"}, {"ref": "samfiddis/simple-keras-model", "kernel_id": "3155023"}, {"ref": "samfiddis/lgb-model", "kernel_id": "3409588"}, {"ref": "triplex/more-unique-values-in-train-set-than-test-set", "kernel_id": "3336686"}, {"ref": "chloeycs/santander-eda-and-ml", "kernel_id": "3386534"}, {"ref": "michaelaadjeisah/dnn-for-customertransactionprediction", "kernel_id": "3034838"}, {"ref": "pjt222/grouping-features-by-k-means", "kernel_id": "3345864"}, {"ref": "santhoshkatta/nn-scaled-encoded-early-stopping-loss-acc-plots", "kernel_id": "3136530"}, {"ref": "kaggle2007/santander-predictions-with-xgboost", "kernel_id": "3404410"}, {"ref": "kaggle2007/simple-nn-with-accuracy-and-loss-plotting", "kernel_id": "3126980"}, {"ref": "harishreddy18/santander-customer-transaction-prediction", "kernel_id": "3384289"}, {"ref": "missionagain/kernel5183d25362", "kernel_id": "3101640"}, {"ref": "youlei0106/kernel5c5f0b715c", "kernel_id": "3253816"}, {"ref": "youlei0106/santander-customer-transaction-prediction-f2", "kernel_id": "3306670"}, {"ref": "justlookinxd/lightgbm-hyperparameter-lb-0-899", "kernel_id": "3150707"}, {"ref": "justlookinxd/baliz", "kernel_id": "3328186"}, {"ref": "muhammetcakmak/sml-algorithms-to-determine-customer-transaction", "kernel_id": "3438612"}, {"ref": "viewside/kernel1480a081ac", "kernel_id": "3108886"}, {"ref": "silvia09/sctp-test", "kernel_id": "3121013"}, {"ref": "danimelv/logistic-regression-base", "kernel_id": "3168887"}, {"ref": "danimelv/modelo-xgboost", "kernel_id": "3196092"}, {"ref": "danimelv/lr-over-sampling", "kernel_id": "3304541"}, {"ref": "danimelv/modelo-catboost-base", "kernel_id": "3297006"}, {"ref": "tmkggl/santander-customer-transaction-prediction-xgboost", "kernel_id": "3778906"}, {"ref": "nz0722/something-behind-var-21-var-22", "kernel_id": "3368528"}, {"ref": "nz0722/santander-k-means-new-features-and-lgb", "kernel_id": "3194970"}, {"ref": "frommer/dnn-santa", "kernel_id": "3338094"}, {"ref": "febilchacko/transaction-prediction-xgb-stratifiedkfold", "kernel_id": "3463352"}, {"ref": "iamrahulr2k/ludwig-experiment", "kernel_id": "3321589"}, {"ref": "elenabarbour/simple-random-forest-w-oversampling-using-smote", "kernel_id": "3271009"}, {"ref": "satyamsanu/santander-customer-transaction", "kernel_id": "3462416"}, {"ref": "ficklemaverick/feature-importances-using-random-forest", "kernel_id": "3436228"}, {"ref": "tomfranken/santander-simple-start", "kernel_id": "3337961"}, {"ref": "aboost/predict-rmd", "kernel_id": "3331072"}, {"ref": "ka0607/why-your-model-is-overfitting-not-making-progress", "kernel_id": "3620993"}, {"ref": "akshayrsingh/santander-ml-team-5", "kernel_id": "3547906"}, {"ref": "ccjoshua/deep-explain-on-synthetic-sample-from-yag320", "kernel_id": "3565299"}, {"ref": "osmano/fast-ai-tabular-library", "kernel_id": "3551050"}, {"ref": "alemvangrieken/red-neuronal-keras-alejandro-marcano", "kernel_id": "3957814"}, {"ref": "minjuminju/kerneldb96c51c88", "kernel_id": "3764399"}, {"ref": "arturojose19/red-neuronal-keras", "kernel_id": "3945074"}, {"ref": "zoomelectrico/red-neuronal-keras", "kernel_id": "3887762"}, {"ref": "thexapholox/red-neuronal-keras", "kernel_id": "3887116"}, {"ref": "luisgraterol/red-neuronal-keras", "kernel_id": "3887935"}, {"ref": "danielisanchez/red-neuronal-keras-441d76", "kernel_id": "3975385"}, {"ref": "earama/red-neuronal-keras", "kernel_id": "3894671"}, {"ref": "carlosdl09/red-neuronal-keras-d-lacoste", "kernel_id": "3900264"}, {"ref": "diabliyo12/red-neuronal-keras", "kernel_id": "3954615"}, {"ref": "careforyourcandy/red-neuronal-keras", "kernel_id": "3927151"}, {"ref": "geer1997/red-neuronal-keras-717339", "kernel_id": "3967851"}, {"ref": "marivit/red-neuronal-keras", "kernel_id": "3932311"}, {"ref": "marcoasp/red-neuronal-keras", "kernel_id": "3966556"}, {"ref": "abrahamchang/red-neuronal-keras-04357d", "kernel_id": "3976353"}, {"ref": "richardeascanio/red-neuronal-keras", "kernel_id": "3935067"}, {"ref": "athiats/red-neuronal-keras", "kernel_id": "3941197"}, {"ref": "danielviturrate/red-neuronal-keras-b883cf", "kernel_id": "3967453"}, {"ref": "spectrox0/red-neuronal-keras", "kernel_id": "3946453"}, {"ref": "cristianjacob1/red-neuronal-keras", "kernel_id": "3978341"}, {"ref": "vmmq94/red-neuronal-keras", "kernel_id": "3980466"}, {"ref": "saurabh502/adversarial-validation-ieee", "kernel_id": "4873286"}, {"ref": "partrita/satisfied-santander", "kernel_id": "4187554"}, {"ref": "ashu11081992/basic-logistic-regression", "kernel_id": "4140060"}, {"ref": "stmohd/santander-ml", "kernel_id": "4460112"}, {"ref": "xieshuhan/santander-prediction-by-logistic-and-random-forest", "kernel_id": "4959937"}, {"ref": "elmolda/santanderchallenge", "kernel_id": "4871022"}, {"ref": "fullomen/a-simple-bayesian-inference-approach", "kernel_id": "4457975"}, {"ref": "visakh36/a-gentle-introduction-to-resampling", "kernel_id": "4937097"}, {"ref": "igorpereirabr/list-of-fake-samples-and-public-private-lb-split", "kernel_id": "4134496"}, {"ref": "igorpereirabr/santander-customer-transaction-prediction", "kernel_id": "4077794"}, {"ref": "kaizerwastaken/santander-ml-competition", "kernel_id": "4967682"}, {"ref": "marloz/feature-selection", "kernel_id": "4862276"}, {"ref": "shotaku/pca-ica-xgboost", "kernel_id": "4117582"}, {"ref": "shotaku/prediction-using-neural-network", "kernel_id": "4081304"}, {"ref": "navneetkr123/santander-eda-fetureeng-for-all", "kernel_id": "4985424"}, {"ref": "flubber/santander-customer-transaction-prediction", "kernel_id": "4147021"}, {"ref": "sachin619/santander", "kernel_id": "4004480"}, {"ref": "tippu89/santander-basic-keras-dnn", "kernel_id": "4699790"}, {"ref": "geochatz/santander-transactions-imbalanced-classification", "kernel_id": "4274350"}, {"ref": "liux3021/santander-ml", "kernel_id": "4558496"}, {"ref": "mickybanks/banks-customer-trans-pred", "kernel_id": "4139224"}, {"ref": "amrmahmoud123/advanced-regularization", "kernel_id": "4733018"}, {"ref": "lakshmi25npathi/santander-customer-transaction-prediction", "kernel_id": "4142529"}, {"ref": "shilparpns/bayesian-parameters-finding-lgb", "kernel_id": "4522370"}, {"ref": "hiagoaraujo/lgb-ensemble-logistic-crossvalidation", "kernel_id": "4510550"}, {"ref": "hiagoaraujo/lgb-featurefrequency-crossvalidation", "kernel_id": "4509713"}, {"ref": "hiagoaraujo/lgb-ensemble-naive-crossvalid", "kernel_id": "4512656"}, {"ref": "hiagoaraujo/random-forest-n-balanceado", "kernel_id": "4449181"}, {"ref": "hiagoaraujo/random-forest-balanceado", "kernel_id": "4447110"}, {"ref": "hiagoaraujo/glm-n-balanceado", "kernel_id": "4448547"}, {"ref": "hiagoaraujo/glm-balanceado", "kernel_id": "4449241"}, {"ref": "hiagoaraujo/avaliacao-dos-dados-e-feature-engineering", "kernel_id": "4462394"}, {"ref": "hiagoaraujo/glm-balanceado-feature-extraction", "kernel_id": "4464969"}, {"ref": "hiagoaraujo/lgb-sem-melhorias", "kernel_id": "4483215"}, {"ref": "hiagoaraujo/new-feature", "kernel_id": "4478312"}, {"ref": "hiagoaraujo/lgb-new-features-crossvalidation", "kernel_id": "4488516"}, {"ref": "hiagoaraujo/lgb-feature-crossvalidation", "kernel_id": "4487817"}, {"ref": "hiagoaraujo/lgb-feature", "kernel_id": "4486071"}, {"ref": "nickrood/kernel4e14155f94", "kernel_id": "4137094"}, {"ref": "vanquan/santander-customer-transaction-prediction-lgb", "kernel_id": "4449821"}, {"ref": "aaronl87/reducing-number-of-features-by-significance", "kernel_id": "4537814"}, {"ref": "christianzarur/red-neuronal-keras", "kernel_id": "4001013"}, {"ref": "farrisdarawsheh/kernel67b594a447", "kernel_id": "4563919"}, {"ref": "abhikjha/santander-customer-prediction", "kernel_id": "5104030"}, {"ref": "tuandobrandeis/kernel34f2bbf76e", "kernel_id": "5801181"}, {"ref": "jnegrini/santander-customer-transaction", "kernel_id": "5681174"}, {"ref": "rashmiek99/kernel963e2ea302", "kernel_id": "5531187"}, {"ref": "bcosta12/santander-customer-transaction-lightgb", "kernel_id": "5313225"}, {"ref": "arvindkt/santander-customer-transaction-prediction", "kernel_id": "5524176"}, {"ref": "marlonferrari/competition-santander-transactions", "kernel_id": "5755945"}, {"ref": "a1pacaz/santander-test", "kernel_id": "5168092"}, {"ref": "rpbenatti/dh-desafio-3-benatti", "kernel_id": "5865606"}, {"ref": "kingmbc/starter-code-saving-and-loading-lgb-xgb-cb", "kernel_id": "6793159"}, {"ref": "cketant/transaction-prediction-eda-gaussian-naive-bayes", "kernel_id": "6670186"}, {"ref": "saranyashalya/lgb-bayesian-optimization", "kernel_id": "6519573"}, {"ref": "jlfdatascience/santander-bank-prediction-model", "kernel_id": "6891548"}, {"ref": "lastgeek/santander", "kernel_id": "6568230"}, {"ref": "shirellamosi/logistic-regression-and-gaussian-nb", "kernel_id": "6114046"}, {"ref": "ahren09/santander-eda", "kernel_id": "6590033"}, {"ref": "venkateshprabhug/customer-transactions-santander", "kernel_id": "6225036"}, {"ref": "halmogdady/dl-dnn-from-scratch", "kernel_id": "6123475"}, {"ref": "kavinder31phogat/kernel7f763c5c60", "kernel_id": "6764309"}, {"ref": "kavinder31phogat/kernel39443b1018", "kernel_id": "6600263"}, {"ref": "lagostra/cnn-2", "kernel_id": "6261856"}, {"ref": "dbarretos79/daniel-barretos-santander", "kernel_id": "6856161"}, {"ref": "morenovanton/kernel5eb5469a90", "kernel_id": "6960664"}, {"ref": "ivanpbf/red-neuronal-keras", "kernel_id": "6095063"}, {"ref": "fredmarlton/santander-sklearn", "kernel_id": "6767127"}, {"ref": "rostigor/keras-lgbm-aug-feature-eng-sampling-prediction", "kernel_id": "7862001"}, {"ref": "weilinwuweilinwu/my-solution", "kernel_id": "7802207"}, {"ref": "hassanamin/customer-transaction-prediction-using-xgboost", "kernel_id": "7577093"}, {"ref": "hassanamin/santander-transaction-prediction", "kernel_id": "7519290"}, {"ref": "saeedtqp/customer-transaction-predict", "kernel_id": "7459184"}, {"ref": "alvaroibrain/santander-transaction-prediction", "kernel_id": "7759816"}, {"ref": "thduik/kernel2fd2288455", "kernel_id": "7239921"}, {"ref": "drisato/santander-customer-transaction-prediction-pca", "kernel_id": "7441652"}, {"ref": "mrushan3/santander-customer-transaction-prediction-eda", "kernel_id": "7764575"}, {"ref": "mohamed22369/santander-customer-transaction-prediction", "kernel_id": "7346822"}, {"ref": "chintanchitroda/santadar-customer-transaction-prediction", "kernel_id": "7775502"}, {"ref": "joshuajhchoi/santander-customer-transaction-prediction", "kernel_id": "7278003"}, {"ref": "jagannathrk/santander-eda-and-prediction", "kernel_id": "8282475"}, {"ref": "saravananoppila/randomforestclassifier-accuracy-99-992499", "kernel_id": "8825437"}, {"ref": "deepanshgoyal/santander-customer-transaction-prediction", "kernel_id": "8394672"}, {"ref": "nurzhann173/naive-bayes", "kernel_id": "8206208"}, {"ref": "nurzhann173/xgboost", "kernel_id": "8207053"}, {"ref": "nurzhann173/knn-algorithm", "kernel_id": "8207388"}, {"ref": "nurzhann173/logistic-regression", "kernel_id": "8179623"}, {"ref": "aibaend/sadu-aibyn", "kernel_id": "8153201"}, {"ref": "zhengis/fork-of-midterm-zhuman", "kernel_id": "8383930"}, {"ref": "sultanakhmetbek/akhmetbek-sultan-mid-term", "kernel_id": "8324425"}, {"ref": "paulogmancini/santander-ctp-lgbm-baeysian-optimization-0-89", "kernel_id": "8150291"}, {"ref": "raymwell/mid-term-kumarbekov-csse-1708", "kernel_id": "8382398"}, {"ref": "nikitaminakov61/da3-midterm", "kernel_id": "8363991"}, {"ref": "igromann/test-temirlan-csse-192m", "kernel_id": "8103165"}, {"ref": "puncher/kernele9ce37f706", "kernel_id": "8382507"}, {"ref": "abylai57/mid-a-abylaikhan-csse-1706da", "kernel_id": "8368027"}, {"ref": "momoiroruk/kernel23011", "kernel_id": "8368921"}, {"ref": "golddragon/midterm-alisher", "kernel_id": "8371266"}, {"ref": "winkin/midterm-tleuliyev", "kernel_id": "8355511"}, {"ref": "orazkarl/karl-ml", "kernel_id": "8369941"}, {"ref": "tranekva/kulymbetov-vladislav-csse-192m", "kernel_id": "8167832"}, {"ref": "yerassyl97/ospanovyerassylmid", "kernel_id": "8176528"}, {"ref": "yerassyl97/task123", "kernel_id": "8205698"}, {"ref": "yerassyl97/knn-algorithm", "kernel_id": "8205897"}, {"ref": "ali19158/xgboostmid", "kernel_id": "8137686"}, {"ref": "timmak321/midterm-timmak", "kernel_id": "8162777"}, {"ref": "yerasqazaq/kernel65654c6819", "kernel_id": "8337832"}, {"ref": "richaidos/santander-p", "kernel_id": "8099101"}, {"ref": "kakenovyernur/kakenov-yernur", "kernel_id": "8165338"}, {"ref": "darkhanbolatov/mid-bolatov-darkhan", "kernel_id": "8377929"}, {"ref": "soziin/mid-abilmazhinov-s", "kernel_id": "8383367"}, {"ref": "nekoaneka/santander-eda-and-prediction-nelya", "kernel_id": "8337286"}, {"ref": "awhitefox/baltabay-ayan", "kernel_id": "8258232"}, {"ref": "beketgoodguy/ml-midterm-24505", "kernel_id": "8205774"}, {"ref": "imashmedet/medet-mid", "kernel_id": "8366995"}, {"ref": "whiteway/da3-midterm-akzhol", "kernel_id": "8366023"}, {"ref": "humandev/okzhetpes-midterm", "kernel_id": "8384555"}, {"ref": "anklav22/kernel25056fe712", "kernel_id": "8378490"}, {"ref": "anklav22/kernel64c80b9b42", "kernel_id": "8378925"}, {"ref": "mariyamomarova/midterm-omarova", "kernel_id": "8369180"}, {"ref": "kossaibek/ml-mid", "kernel_id": "8369916"}, {"ref": "kossaibek/secondtry", "kernel_id": "8372337"}, {"ref": "kossaibek/ml-da3", "kernel_id": "8373218"}, {"ref": "kuanysh07/yerezhepk-csse191m", "kernel_id": "8162616"}, {"ref": "kuanysh07/yerezhepk-logreg", "kernel_id": "8199572"}, {"ref": "aigulalzhan21/aigul-alzhan-csse-191m", "kernel_id": "8165617"}, {"ref": "anuarimashev/csse192m-anuar", "kernel_id": "8166304"}, {"ref": "slamegg/2nd-part", "kernel_id": "8151127"}, {"ref": "slamegg/knndataset", "kernel_id": "8150259"}, {"ref": "slamegg/knnlatest", "kernel_id": "8207257"}, {"ref": "slamegg/final-modifications", "kernel_id": "8180354"}, {"ref": "slamegg/refactored-part-4", "kernel_id": "8176677"}, {"ref": "slamegg/refactored-part-2", "kernel_id": "8175613"}, {"ref": "slamegg/refactored-part-3", "kernel_id": "8175770"}, {"ref": "slamegg/refactored-midterm", "kernel_id": "8175187"}, {"ref": "eldos21/midtermnarbay", "kernel_id": "8179257"}, {"ref": "erzhaniitu15/myrzaly-yerzhan-csse-193m", "kernel_id": "8150210"}, {"ref": "asselibragim/logreg", "kernel_id": "8164552"}, {"ref": "asselibragim/xgboost", "kernel_id": "8206668"}, {"ref": "ho1zlar/azamatmidterm", "kernel_id": "8354341"}, {"ref": "gromkz/daruish-alizhan", "kernel_id": "8367407"}, {"ref": "daniyar777/daniyar-mid", "kernel_id": "8367358"}, {"ref": "gulsezim/kenzhekulova-mid", "kernel_id": "8378665"}, {"ref": "arshtematida/da4-midterm1", "kernel_id": "8370542"}, {"ref": "kasiyliy/kernel156d1b1b35", "kernel_id": "8168433"}, {"ref": "kasiyliy/kernel423007a13b", "kernel_id": "8206448"}, {"ref": "kasiyliy/kernel120a29886d", "kernel_id": "8206561"}, {"ref": "kasiyliy/kernel4583e11df9", "kernel_id": "8206214"}, {"ref": "kasiyliy/kernel21c09ad72c", "kernel_id": "8206731"}, {"ref": "kasiyliy/kernel3262844449", "kernel_id": "8206930"}, {"ref": "kasiyliy/kernel1ba102b618", "kernel_id": "8206853"}, {"ref": "abaikhan/abaikhan-1-2", "kernel_id": "8165947"}, {"ref": "daurlion1/kakimbekovdauren", "kernel_id": "8168397"}, {"ref": "ba1taulov/nurbek-mid", "kernel_id": "8381908"}, {"ref": "amanchiqq/ml2-midterm", "kernel_id": "8369657"}, {"ref": "ruslanw/zhumabekruslan", "kernel_id": "8165926"}, {"ref": "sabinodes/formidterm", "kernel_id": "8369711"}, {"ref": "meirzhan/machine-learning-2-meirzhan", "kernel_id": "8369650"}, {"ref": "daniyarkyzyrov/midtermdan", "kernel_id": "8368014"}, {"ref": "galiaskarov/ilyas-midterm", "kernel_id": "8369117"}, {"ref": "pakalodnik/german", "kernel_id": "8383225"}, {"ref": "mukhamedali/mukhamedali-csse1708", "kernel_id": "8369837"}, {"ref": "ali701/logistic-regresion-knn-destree", "kernel_id": "8187422"}, {"ref": "arthurjh/kernel78fb9d65e5", "kernel_id": "8191254"}, {"ref": "aktayevas/santander-eda-and-prediction", "kernel_id": "8190630"}, {"ref": "mereymak/merey-makzom-csse", "kernel_id": "8384169"}, {"ref": "binura123/kernelnotebook", "kernel_id": "8165266"}, {"ref": "muhamedali/muhamed-ali", "kernel_id": "8384003"}, {"ref": "philieseg/shallow-nn-prediction-keras", "kernel_id": "8655854"}, {"ref": "margo0/kernel35d6180555", "kernel_id": "8176894"}, {"ref": "margo0/kernel4d3659c63b", "kernel_id": "8174139"}, {"ref": "arstoktarov/toktarov-midterm", "kernel_id": "8381946"}, {"ref": "adilsagimbekow/findmebatyr", "kernel_id": "8246344"}, {"ref": "bekmuratovbekzat/naive", "kernel_id": "8206446"}, {"ref": "bekmuratovbekzat/cross-validation", "kernel_id": "8205296"}, {"ref": "bekmuratovbekzat/xgboost", "kernel_id": "8204002"}, {"ref": "bekmuratovbekzat/decisiontree", "kernel_id": "8165874"}, {"ref": "bekmuratovbekzat/logisticregression", "kernel_id": "8169669"}, {"ref": "bekmuratovbekzat/kneighbours1", "kernel_id": "8169923"}, {"ref": "abylaikhankossay/kossay-abylaikhan-csse191m", "kernel_id": "8201408"}, {"ref": "abylaikhankossay/kernel2774102728", "kernel_id": "8206458"}, {"ref": "amirkatussupov/kernel496fca5b14", "kernel_id": "8150288"}, {"ref": "avarobrin/kernel31fba9f342", "kernel_id": "8205668"}, {"ref": "kaigerim/kurmankaliyeva-aigerim-ml", "kernel_id": "8146695"}, {"ref": "darwinwin/automl-easy-with-h2o-santander-transaction-v3", "kernel_id": "8099112"}, {"ref": "darwinwin/santander-h2o-automl-inc-deep", "kernel_id": "8130575"}, {"ref": "darwinwin/sklearn-model-exploration", "kernel_id": "8190836"}, {"ref": "yelamankakimzhanov/midterm-kakimzhan-yelaman-csse-1706da", "kernel_id": "8367639"}, {"ref": "nurseitabdiraimov/abdn-mid", "kernel_id": "8375019"}, {"ref": "abylyessenbekov/abylay-midterm", "kernel_id": "8381771"}, {"ref": "arkadyy/midterm-aubakirov-krasavchik", "kernel_id": "8382536"}, {"ref": "meruertadilgazy/meruert-adilgazinamid", "kernel_id": "8380265"}, {"ref": "zhibeknurazhy/nurazhyzhibekmidterm", "kernel_id": "8383913"}, {"ref": "teemusoininen/santander-simple-kernel", "kernel_id": "9456320"}, {"ref": "teemusoininen/santander-kernel-simple-base", "kernel_id": "9429992"}, {"ref": "topchaebol/kernel42902dbb51", "kernel_id": "9429764"}, {"ref": "tushar1202/customer-transaction-prediction", "kernel_id": "9419686"}, {"ref": "olucasferreira/customer-transaction-pca-gaussiannb", "kernel_id": "9880413"}, {"ref": "sabya40/simple-enough-to-understand-pca-and-smote", "kernel_id": "9985873"}, {"ref": "vivekhn/implementing-naive-bayes", "kernel_id": "9498890"}, {"ref": "bezerracamila/gaussian-nb", "kernel_id": "9873539"}, {"ref": "jennaseo/santander-machinelearning", "kernel_id": "9982004"}, {"ref": "samuelvelasquez/red-neuronal-keras", "kernel_id": "9788435"}, {"ref": "alejandrovelazco/red-neuronal-keras", "kernel_id": "9789943"}, {"ref": "hmarques/santander-kaggle-uma-solu-o-com-redes-neurais", "kernel_id": "10495773"}, {"ref": "zuari1993/intermediate-ml-xgboost-w-gpu-hyperparam-search", "kernel_id": "10260106"}, {"ref": "zuari1993/beginner-s-ml-simple-xgboost-22lines-0-85983", "kernel_id": "10259693"}, {"ref": "sishihara/competition-points-calculation", "kernel_id": "10814520"}, {"ref": "marcelotsj/undersample-nearmiss-models-sgd-xgboost-lgbm", "kernel_id": "10060141"}, {"ref": "shanu11/santander-through-gpreda", "kernel_id": "10059398"}, {"ref": "samlakhmani/santander-please-looking-for-advice-beginner", "kernel_id": "10843604"}, {"ref": "wagnersantana/santander-kaggle-pca-and-gaussian-naive", "kernel_id": "10936555"}, {"ref": "charansoneji/santander-customer-transaction", "kernel_id": "10347493"}, {"ref": "sankalpsthakur/gaussian-naive-bayes", "kernel_id": "10502817"}, {"ref": "nikolakuzmic/kernel4d3f70623a", "kernel_id": "10147455"}, {"ref": "farji402/santander-with-lgbm-0-89", "kernel_id": "10449892"}, {"ref": "mmohamedmaged/standard-proj", "kernel_id": "10758108"}, {"ref": "dorauierp1/santander-transaction-prediction", "kernel_id": "10754790"}, {"ref": "takahiroinagawa/kernel7a024c5353", "kernel_id": "10339620"}, {"ref": "ankitdatascience/first-attempt-to-xgboost", "kernel_id": "11466846"}, {"ref": "giovanninig/customer-transaction-prediction-classification", "kernel_id": "11404454"}, {"ref": "ranand60/exploratory-data-analysis-prediction", "kernel_id": "11128047"}, {"ref": "ihsanr/santander", "kernel_id": "11614017"}, {"ref": "ruzgol/knowledge-distillation-with-nn-rankgauss", "kernel_id": "11200459"}, {"ref": "venkateshthota/santander-customer-transaction", "kernel_id": "11377788"}, {"ref": "juanandressimonetti/c2-santander-customer-transaction-prediction", "kernel_id": "11158726"}, {"ref": "adnankhan177/gaussiannb", "kernel_id": "11905125"}, {"ref": "harshak777/hierarchical-clustering-approach", "kernel_id": "12649278"}, {"ref": "hiro1005/santander-customer-transaction-prediction", "kernel_id": "12052974"}, {"ref": "kevinadriansalcedo/modelamiento-santander-eda-and-prediction", "kernel_id": "12864314"}, {"ref": "pavan1512/santander-customer-transaction-prediction", "kernel_id": "12821308"}, {"ref": "massyl/santander-customer-transaction-prediction", "kernel_id": "13059969"}, {"ref": "drcapa/santander-customer-transaction", "kernel_id": "13489232"}, {"ref": "alandata666/customer-prediction-model-xgboost-and-optimize", "kernel_id": "13537425"}, {"ref": "bespalov/mytryrandomforest", "kernel_id": "13203105"}, {"ref": "bespalov/glmtry", "kernel_id": "13344466"}, {"ref": "guptashourya/customer-transaxn", "kernel_id": "13874723"}, {"ref": "arozrl/accelerated-training-using-snap-ml", "kernel_id": "13504935"}, {"ref": "xuanzhihuang/santander-customer-transaction-prediction-lgbm", "kernel_id": "13849849"}, {"ref": "kimalamsyah/santander-customer-transaction-prediction", "kernel_id": "14691126"}, {"ref": "cseamaoo/santander-customer-transaction-prediction-eda", "kernel_id": "14291533"}, {"ref": "fanbyprinciple/santander-fastai", "kernel_id": "14764522"}, {"ref": "shaar08/santander-transfer-prediction-eda-naive-model", "kernel_id": "14651144"}, {"ref": "dijiswiki/santander-transaction-competition-92", "kernel_id": "14949219"}, {"ref": "faressayah/nlp-with-spacy-nltk-gensim", "kernel_id": "14162239"}, {"ref": "sabapathyd/santander-transaction", "kernel_id": "14548150"}, {"ref": "jclangner/santander-customer-prediction-fastai", "kernel_id": "14139646"}, {"ref": "gabrielcozzella/notebook62d4434fe6", "kernel_id": "14147407"}, {"ref": "ladynanfusu/shallow-nn-prediction-keras", "kernel_id": "14205494"}, {"ref": "ladynanfusu/sklearn-model-exploration", "kernel_id": "14206241"}, {"ref": "narayanareddych/customer-transaction-prediction", "kernel_id": "14644011"}, {"ref": "harsh1kumar/santander-trxn-pred-tree", "kernel_id": "15609443"}, {"ref": "harsh1kumar/santander-trxn-pred-rf-basics", "kernel_id": "15866811"}, {"ref": "schandra005/notebook5326538095", "kernel_id": "15792302"}, {"ref": "dasariaswin1/santander-customer", "kernel_id": "15359512"}, {"ref": "elvinagammed/fast-ai-tabular-classification-with-dice-metrics", "kernel_id": "15773108"}, {"ref": "jerifate/santander-customer-transaction-prediction-lgbm", "kernel_id": "15845618"}, {"ref": "mavillan/softordering1dcnn-on-sctp", "kernel_id": "16537246"}, {"ref": "webman19/spark-run", "kernel_id": "16003486"}, {"ref": "webman19/fastsampler", "kernel_id": "16033523"}, {"ref": "harsh1kumar/santander-trxn-pred-gbm", "kernel_id": "16148127"}, {"ref": "harsh1kumar/santander-trxn-pred-rf-details", "kernel_id": "16141819"}, {"ref": "harsh1kumar/santander-trxn-pred-rf-hp-tune", "kernel_id": "16122230"}, {"ref": "harsh1kumar/santander-trxn-pred-lightgbm", "kernel_id": "16306579"}, {"ref": "harsh1kumar/santander-trxn-pred-xgboost", "kernel_id": "16614426"}, {"ref": "harsh1kumar/santander-trxn-pred-ensemble", "kernel_id": "16698077"}, {"ref": "shubhamjangir/santander-customer-transaction-lr-dt-rf-and-lgbm", "kernel_id": "16489176"}, {"ref": "jamesngoa/eda-customer-transaction", "kernel_id": "16589164"}, {"ref": "jamesngoa/santander-ctp-feature-engineering", "kernel_id": "16812252"}, {"ref": "jamesngoa/santander-ctp-modeling-0-917-priv-lb", "kernel_id": "16812286"}, {"ref": "hikmetsezen/best-score-on-santander-customer-transaction-pred", "kernel_id": "16790451"}, {"ref": "cartesis07/asi-assessed-exercise", "kernel_id": "16720396"}, {"ref": "charlottekennedy/asi-assessed-exercise", "kernel_id": "16550282"}, {"ref": "mavillan/spike-escuelita-mixup-lgbm", "kernel_id": "17430759"}, {"ref": "mavillan/spike-escuelita-mixup-mlp-harder", "kernel_id": "17431597"}, {"ref": "mavillan/spike-escuelita-mixup-mlp", "kernel_id": "17413632"}, {"ref": "chiragpipalia/baseline-model", "kernel_id": "17616356"}, {"ref": "jerifate/transaction-prediction-should-i-use-the-pca", "kernel_id": "17398789"}, {"ref": "bbaabbaakk/eda-pca-kfold-santander-customer-transaction", "kernel_id": "17856513"}, {"ref": "hynduf/team-1", "kernel_id": "17905689"}, {"ref": "akhilnasser/santander-customer-transaction-training-2", "kernel_id": "19780501"}, {"ref": "akhilnasser/santander-customer-transaction-training", "kernel_id": "19379787"}, {"ref": "mateuscco/how-to-evaluate-model-calibration", "kernel_id": "19944232"}, {"ref": "ratul6/speech-signal-classification-using-h2o", "kernel_id": "19255415"}, {"ref": "ryanchencrj/binaryclassification-customer-transaction-predict", "kernel_id": "19487609"}, {"ref": "chriscc/duplicatecolumnlr", "kernel_id": "20587607"}, {"ref": "wutong0218/santander-dataset-weighted-logistic-regression", "kernel_id": "20873518"}, {"ref": "wutong0218/santander-competition-exploratory-data-analysis", "kernel_id": "20820429"}, {"ref": "cristiancaniu/bank-customer-fraudulent-transaction-predictions", "kernel_id": "20935821"}, {"ref": "jisuyeon/santander-ml", "kernel_id": "20386963"}, {"ref": "muhamdsalem/santander-customer-transaction-prediction-ac-91", "kernel_id": "20807510"}, {"ref": "ruujim/notebook83ee4feb20", "kernel_id": "20496946"}, {"ref": "ruujim/santander-rf-gmm", "kernel_id": "20387077"}, {"ref": "gweijie/guide-to-ensembling-methods-1", "kernel_id": "21412098"}, {"ref": "at3191/santander-customer-transaction-prediction-trial1", "kernel_id": "21430170"}, {"ref": "wutong0218/santander-dataset-feature-engineering", "kernel_id": "21357522"}, {"ref": "enesimek/for-beginners-santander-prediction-lgbm-model", "kernel_id": "21395678"}, {"ref": "fahadmehfoooz/santader-customer-transaction-classification", "kernel_id": "21807822"}, {"ref": "jillanisofttech/santander-customer-transaction-prediction-new-lgbm", "kernel_id": "21582643"}, {"ref": "kagglekkyn/santander-lightgbm", "kernel_id": "21346932"}, {"ref": "juanslm97/santander-transaction", "kernel_id": "21696784"}, {"ref": "pabloamc/santander-lightning", "kernel_id": "22770977"}, {"ref": "brendanfunk/scikit-pt-1-logistic-regression-basic-model", "kernel_id": "22419555"}, {"ref": "muhammetalikula/santander-lgbm-tuning-with-bayesian-optimization", "kernel_id": "22479800"}, {"ref": "juanslm97/santander-gbm", "kernel_id": "22050387"}, {"ref": "thomasandarilho/tp2-eda-e-submiss-o", "kernel_id": "23535046"}, {"ref": "thomasandarilho/tp3-desafio-vivencial", "kernel_id": "23708270"}, {"ref": "ayoubchaoui/visualation-predict-prices", "kernel_id": "23567283"}, {"ref": "ayoubchaoui/lightgbm-vs-xgboost-vs-castboost", "kernel_id": "23486410"}, {"ref": "ricardopennaleite/internship-work", "kernel_id": "24680455"}, {"ref": "tylerchi/satander-notebook", "kernel_id": "24974980"}, {"ref": "dimanjung/santander-customer-transaction-prediction-lgbm", "kernel_id": "25625734"}, {"ref": "dimanjung/lgbm-with-parameters", "kernel_id": "25487720"}, {"ref": "youssef2020/customer-transaction-analysis-prediction", "kernel_id": "25253430"}, {"ref": "rocklen/santander-customer-transaction-prediction-2", "kernel_id": "25124134"}, {"ref": "sergiosouza/santander-customer-transaction", "kernel_id": "25644903"}, {"ref": "andrepaes/santander-arap", "kernel_id": "26272939"}, {"ref": "alirezahanifi/santander-customer-pca-dae-using-lr-lgbm", "kernel_id": "26846859"}, {"ref": "arezoodahesh/santander-customer-transaction-prediction-lgbm", "kernel_id": "26947644"}, {"ref": "ehsandahesh/santander-customer-transaction-prediction-xgbc", "kernel_id": "26948511"}, {"ref": "jordane95/santander-jordane", "kernel_id": "26125018"}, {"ref": "alexishzl/santander-customer-transaction-prediction", "kernel_id": "26074896"}, {"ref": "levorato/tp3-vivencial-cd-petro", "kernel_id": "27367785"}, {"ref": "sachin16495/data-explore-data-model", "kernel_id": "27361473"}, {"ref": "claudiohfg/santander-lightgbm-autoencoder-imblearn", "kernel_id": "27520535"}, {"ref": "claudiohfg/santander-lightgbm-random-over-sampler-l1-l2", "kernel_id": "27575317"}, {"ref": "lcvicente/santander-challenge", "kernel_id": "27917326"}, {"ref": "abdolazimrezaei/exploring-santander-outliers", "kernel_id": "27215514"}, {"ref": "fatemetardasti/santander-transaction-prediction-lgbm", "kernel_id": "27088721"}, {"ref": "gauri1996/street-market-prediction", "kernel_id": "27326897"}, {"ref": "diogolr/desafio-santander-classifica-o-bin-ria", "kernel_id": "27632247"}, {"ref": "marceloabbehusen/200-xgboost-models-votingclassifier", "kernel_id": "27565706"}, {"ref": "josenlsonarajo/tp3-desafio-santander", "kernel_id": "27604047"}, {"ref": "vkrevu/santander-customer-rfc", "kernel_id": "27072989"}, {"ref": "marcelovilarouca/santander-transaction-prediction-final", "kernel_id": "27979815"}, {"ref": "nidhinarayan/santandar-eda-ml", "kernel_id": "28820847"}, {"ref": "thomasandarilho/tp3-zeror-desafio-vivencial", "kernel_id": "28836078"}, {"ref": "robertoborges/santander-competition", "kernel_id": "28124267"}, {"ref": "ahmedmsoliman/santander-customer-80-accuracy", "kernel_id": "28991886"}, {"ref": "sergiosouza/santander-customer-transaction-new-version", "kernel_id": "28093286"}, {"ref": "abdelrhamanfakhry/data-preprocessing-pca-ml-models-score-100", "kernel_id": "28498521"}, {"ref": "kattat/santander-customer-transaction-prediction", "kernel_id": "28705353"}, {"ref": "ajkannampuzha/stander-customer-prediction", "kernel_id": "28015152"}, {"ref": "solaznog/aplica-o-da-mllib-de-spark-em-pyspark", "kernel_id": "29773846"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "meln1337/santander-notebook", "kernel_id": "29249385"}, {"ref": "mattetesami/lightgbm-on-santander-customer-transaction", "kernel_id": "29087791"}, {"ref": "bansodesandeep/ml-logistic-regression-boston-data-binning", "kernel_id": "29915382"}, {"ref": "ppsheth91/santandar-prediction-lgbm", "kernel_id": "30008310"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "solaznog/mllib-spark-and-pyspark", "kernel_id": "30482166"}, {"ref": "sahilr05/customer-transaction-prediction-lightgbm", "kernel_id": "30876017"}, {"ref": "abhishek/tabpfn4", "kernel_id": "31559035"}, {"ref": "pabangiri/feature-selection-using-variance", "kernel_id": "33653151"}, {"ref": "ahmedashrafahmed/santander-customer-transaction-prediction", "kernel_id": "33103930"}, {"ref": "philippjohn/keras", "kernel_id": "33273401"}, {"ref": "alawdisoft/1-feature-selection-dropping-constant-features", "kernel_id": "33749415"}, {"ref": "arunabkumar/weird-data-structure-random-data-input", "kernel_id": "33662923"}, {"ref": "pbansal223/project-santander-eda-and-prediction", "kernel_id": "34791728"}, {"ref": "sumit46656/santander-customer-transaction-prediction", "kernel_id": "34614885"}, {"ref": "techtesh/notebookbfc51aca91", "kernel_id": "34347847"}, {"ref": "mahluo/xgboost-with-gpu-test", "kernel_id": "35828592"}, {"ref": "rajaahdjey/learning-journal-santander-transaction-predns", "kernel_id": "35690611"}, {"ref": "zhangyuxuan1004/565-mid", "kernel_id": "36548901"}, {"ref": "mwaseem75/santander-eda-and-prediction", "kernel_id": "37664170"}, {"ref": "sumeet07/customer-transaction-prediction", "kernel_id": "37933331"}, {"ref": "artemkhadris/santander-customer-transaction-prediction-tf", "kernel_id": "37300009"}, {"ref": "faishalibnurizza/navie-bayes-kelompok-2", "kernel_id": "38137351"}, {"ref": "umisss/gaussian-naive-bayes", "kernel_id": "38142353"}, {"ref": "ririsindahr/uts-navie-bayus", "kernel_id": "38119578"}, {"ref": "fatmaqazaer/nlp-project-fatmaqazaer", "kernel_id": "39212497"}, {"ref": "czarpluto/naive-bayes-lightgbm-with-logistic", "kernel_id": "39669158"}, {"ref": "czarpluto/understanding-fake-vs-real-data-step-by-step", "kernel_id": "39172754"}, {"ref": "czarpluto/eda-before-modeling", "kernel_id": "39983823"}, {"ref": "suraj520/bagging-a-k-a-bootstrap-aggregating", "kernel_id": "40493607"}, {"ref": "czarpluto/simple-naive-bayes", "kernel_id": "40068986"}, {"ref": "czarpluto/simple-lightgbm", "kernel_id": "40069211"}, {"ref": "rafaeotero/santander-csi22", "kernel_id": "40973626"}, {"ref": "akakikhuntsaria/fnn-pytorch", "kernel_id": "41799429"}, {"ref": "samh0ng/santander-customer-transaction-prediction-dl", "kernel_id": "41483470"}, {"ref": "italosimoes/santander-customers-predictions-lgbm", "kernel_id": "42518611"}, {"ref": "somayyehgholami/the-bayesian-approach-for-efficient-optimization", "kernel_id": "42391690"}, {"ref": "jolielin/santander-eda", "kernel_id": "42924705"}, {"ref": "jolielin/santander-3-models", "kernel_id": "42474258"}, {"ref": "nazarkohut/lightgbm", "kernel_id": "42117427"}, {"ref": "arcielbaez/competition-points-calculation", "kernel_id": "42581505"}, {"ref": "mostafamohammednouh/customer-transaction-prediction-eda", "kernel_id": "43727284"}, {"ref": "pranavmaheshwari2603/santander-customer-transaction-prediction", "kernel_id": "43988591"}, {"ref": "jolielin/santander-knn", "kernel_id": "44108113"}, {"ref": "jolielin/santander-svc", "kernel_id": "44371666"}, {"ref": "evrendurmus/nested-pipes-with-pca-scaling-decision-tree", "kernel_id": "44556298"}, {"ref": "ahmedmostafaelsayed/santander-classification", "kernel_id": "44974814"}, {"ref": "markusdarkus/first-model-01", "kernel_id": "45259132"}, {"ref": "davidemad01/comp-05-santander-customer-transaction-prediction", "kernel_id": "45884842"}, {"ref": "clementseimpere/challenge-kaggle", "kernel_id": "45476004"}, {"ref": "juliaagafoniva/automl", "kernel_id": "48544835"}, {"ref": "juliaagafoniva/no-automl", "kernel_id": "48526365"}, {"ref": "vidyalakshmy/naive-bayes-tutorial", "kernel_id": "48777774"}, {"ref": "nicolasacogorno/notebook560446edca", "kernel_id": "48417669"}, {"ref": "yesandnominisiter/santander-customer-transaction-prediction", "kernel_id": "48377315"}, {"ref": "zoeyyli/notebooke7a5f0ded7", "kernel_id": "48366454"}, {"ref": "yatinkundra666/using-tensotflow", "kernel_id": "50453816"}, {"ref": "whitecanvas/santander-customer-transaction-prediction-test", "kernel_id": "52856709"}, {"ref": "alirizaercan/santander-data-science-details-and-explanation", "kernel_id": "52376358"}, {"ref": "avtnshm/santander-customer-transaction", "kernel_id": "53352452"}, {"ref": "alilashini/santander-challenge-eda-xgboost", "kernel_id": "55700381"}, {"ref": "abr1998/customer-satisfaction-analysis", "kernel_id": "56309703"}, {"ref": "sergeypolivin/csp-santander", "kernel_id": "56319530"}, {"ref": "cardata/santander-customer-transaction-prediction-analysis", "kernel_id": "56661385"}, {"ref": "csmohamedayman/ml-catg-santander-customer-transaction", "kernel_id": "57458495"}, {"ref": "mohamedlazaar2/santander-customer-logistic-random", "kernel_id": "57342271"}, {"ref": "mohamedlazaar2/random-forest-classification", "kernel_id": "57836239"}, {"ref": "mohamedlazaar2/decision-tree-classification", "kernel_id": "57834129"}, {"ref": "mohamedlazaar2/logistic-regression", "kernel_id": "57829909"}, {"ref": "ikram98ai/santander-customer-transaction-prediction", "kernel_id": "57592996"}, {"ref": "sebastinazamaravils/santander-transactions", "kernel_id": "57039261"}, {"ref": "pollicio/csp-chile-santander", "kernel_id": "58011936"}, {"ref": "sudhanshukumar21/adrash", "kernel_id": "58444329"}, {"ref": "akashpawar10/santander-customer-transaction", "kernel_id": "58884289"}, {"ref": "emrealty/santander-customer-transaction-prediction-lightgbm", "kernel_id": "58651071"}, {"ref": "northxxx/northx-pytorch-nn-cyclelr-5-fold", "kernel_id": "58655631"}, {"ref": "jamessuryaputra/caught-in-the-exchange", "kernel_id": "58976854"}, {"ref": "ameydikshit/notebook50d5fe3cdc", "kernel_id": "58438535"}, {"ref": "subhiarjaria09/santander-customer-transaction-prediction", "kernel_id": "59943650"}, {"ref": "hanryang/santander-customer-satisfaction", "kernel_id": "60914203"}, {"ref": "alexandrarutenberg/notebook6fb4458452", "kernel_id": "60732616"}, {"ref": "hikmetdevlet/4-santander-customer-transaction-prediction", "kernel_id": "60790938"}, {"ref": "meenalsaini/santander-customer-transaction", "kernel_id": "60157356"}, {"ref": "cardata/santander-customer-transaction-prediction", "kernel_id": "60063451"}, {"ref": "cardata/santander-customer-transaction", "kernel_id": "60026421"}, {"ref": "mocanumihaiadrian/sctp-mihai-mocanu", "kernel_id": "60265644"}, {"ref": "jatinag/basic-classfier", "kernel_id": "61627794"}, {"ref": "yunsuxiaozi/sctp-golden-solution-study-top22", "kernel_id": "61448486"}, {"ref": "mateusfsrg/just-a-student-trying-santander-customer-transa", "kernel_id": "61837338"}, {"ref": "ssyyhh/eda-of-customer-transaction-with-classification", "kernel_id": "61696083"}, {"ref": "mssrinivass/sctp-21f1005713", "kernel_id": "62525249"}, {"ref": "abdelazizsami/santander-customer-transaction-prediction", "kernel_id": "62782660"}, {"ref": "adhul000/santander-customer-transaction-prediction", "kernel_id": "62493722"}, {"ref": "natalyyakobov/santander-transactions-xgboost", "kernel_id": "63045546"}, {"ref": "marwanashref/santander-customer-transaction-prediction", "kernel_id": "63690131"}, {"ref": "ahmedelbashir99/santander-customer-transaction-prediction", "kernel_id": "64330519"}, {"ref": "anuragraj03/santander-customer-transaction-prediction", "kernel_id": "64299649"}, {"ref": "fahimshekh/notebook57f6e2ad94", "kernel_id": "64983304"}, {"ref": "immuhammadumair/santander-eda-and-prediction", "kernel_id": "65003976"}, {"ref": "leungyiuchung/sctp-residual-mlp-with-features-selection", "kernel_id": "65081012"}, {"ref": "arnavmishra6996/h2o-automl", "kernel_id": "65121971"}, {"ref": "abenezeralz/notebook3c990ce510", "kernel_id": "66865187"}, {"ref": "akshaypatil11/santander-customer-transaction-prediction", "kernel_id": "67195856"}, {"ref": "jim0102/santander-customer-transaction-prediction", "kernel_id": "67958844"}, {"ref": "iiipagin/21435", "kernel_id": "68913154"}, {"ref": "jurk06/transaction-prediction-anova", "kernel_id": "69009201"}, {"ref": "lordpatil/light-gbm", "kernel_id": "69897593"}, {"ref": "vredniylumbert/sctp-using-classical-ml-methods", "kernel_id": "69116549"}, {"ref": "nabinoli2004/santander-customer-transaction-prediction", "kernel_id": "70065501"}, {"ref": "kaldima/features-encoding", "kernel_id": "70482110"}, {"ref": "anishvijay/santander-customer-prediction-2", "kernel_id": "71968602"}, {"ref": "niketanmoon/santander-ml", "kernel_id": "72914367"}, {"ref": "niketanmoon/santander-customer-transaction", "kernel_id": "72542337"}, {"ref": "mikhailshuqin/lab3-3", "kernel_id": "72765477"}, {"ref": "kolesovdmitry/kolesov-santander-customer-transaction-prediction", "kernel_id": "73028861"}, {"ref": "cmoild/santander-transaction-prediction-catboost", "kernel_id": "73050130"}, {"ref": "alexeybobrovitsky/bobrovitskiy-a-s-lr3", "kernel_id": "73575598"}, {"ref": "andrejeronimaguerra/predicting-customer-transactions-a-beginner-s", "kernel_id": "75063818"}, {"ref": "csmohamedayman/eda-tab-santander-customer-transaction", "kernel_id": "77384076"}, {"ref": "isabelgonalves/customer-transaction-prediction", "kernel_id": "77398761"}, {"ref": "csmohamedayman/dl-catg-santander-customer-transaction", "kernel_id": "78373227"}, {"ref": "arsenyskribchenko/tabular", "kernel_id": "78644982"}, {"ref": "minhaz07/santander-customer-transaction-prediction", "kernel_id": "78754117"}, {"ref": "mehreenmubashar/final-project-data-science", "kernel_id": "80715076"}, {"ref": "niteshxhivam/santander-prediction", "kernel_id": "82480131"}, {"ref": "mohannedsinbel/santander-eda-and-prediction", "kernel_id": "82676872"}, {"ref": "logicanessim/data-exploration-and-visualization", "kernel_id": "83127656"}, {"ref": "omarelfeel/modified-naive-bayes-santander-2025", "kernel_id": "83526343"}, {"ref": "elvincentonino/santander-customer-transaction-prediction", "kernel_id": "85950010"}, {"ref": "poetictions/lgbm-1", "kernel_id": "86873899"}, {"ref": "mohseenmkolhar/santander-customer-submission-mohseen-kolhar", "kernel_id": "86484134"}, {"ref": "sezginkyle/santander-customer-transaction-prediction-ml", "kernel_id": "87469040"}, {"ref": "lranario/notebooka272549cf4", "kernel_id": "88583524"}, {"ref": "kaggle2975510574/xgboost", "kernel_id": "90872595"}, {"ref": "kaggle2975510574/lightgbm", "kernel_id": "91720154"}, {"ref": "zonoonjlalmelsadeg/santander-customer-transaction-prediction", "kernel_id": "91897960"}, {"ref": "ravillan/pratica04", "kernel_id": "95675215"}, {"ref": "letitiacowell/alexandria-competition-santander-customer-296356", "kernel_id": "100710903"}, {"ref": "inderjeet21/santandercustomertransaction", "kernel_id": "103250022"}, {"ref": "shquant/customer-transaction-magic", "kernel_id": "103606609"}, {"ref": "shquant/customer-transaction", "kernel_id": "103516220"}, {"ref": "shquant/transaction-lgbm", "kernel_id": "103862817"}, {"ref": "evgendvorkin/santander-customer", "kernel_id": "104903743"}, {"ref": "jjvjess/customer-transaction", "kernel_id": "106162134"}, {"ref": "doannhatminh/notebook54b775ea05", "kernel_id": "106840925"}, {"ref": "himanshutiwati528/notebook7e979a3a81", "kernel_id": "107775760"}, {"ref": "enesyama/santandertransactionclassifcation", "kernel_id": "109098573"}, {"ref": "lem108/notebookd798b17056", "kernel_id": "111665372"}, {"ref": "usmanhanant/santander-eda-and-prediction", "kernel_id": "116579038"}, {"ref": "joylus/notebook0a013f39d5", "kernel_id": "118969119"}, {"ref": "birenkumarnayak/notebook6d61c6f643", "kernel_id": "123910344"}, {"ref": "themreee/deep-learning", "kernel_id": "124633110"}, {"ref": "cccgxx/santander-eda-prediction1", "kernel_id": "126313401"}, {"ref": "anubhuti775/task-2-3", "kernel_id": "126670181"}, {"ref": "p0s1fix/notebookf74278b550", "kernel_id": "129315092"}, {"ref": "abdomahfouz1/santander-customer-transaction-prediction", "kernel_id": "132205677"}, {"ref": "fawzyebidw/customer-transaction-prediction", "kernel_id": "134735373"}, {"ref": "hagarmesbah/santander-customer-transaction-prediction", "kernel_id": "134196732"}]}
{"competition_id": "10386", "kernels": [{"ref": "abosol/understanding-a-little-what-are-the-inputs", "kernel_id": "1596920"}, {"ref": "abosol/evaluation-with-mean-samples-f2", "kernel_id": "1603523"}, {"ref": "ryanzhang/keras-f2-metric", "kernel_id": "1597185"}, {"ref": "petrov/naive-submission-updated-for-stage-2-0-088", "kernel_id": "1623168"}, {"ref": "jtlowery/plots-and-interactive-graphs-eda", "kernel_id": "1593166"}, {"ref": "hemantime/cnn-with-20-classest-version4", "kernel_id": "1699487"}, {"ref": "kirillpanarin/top-1-5-10-human-labels-0-144-0-144-0-154", "kernel_id": "1740315"}, {"ref": "daikinban/baby-step", "kernel_id": "1592546"}, {"ref": "jpmiller/basic-eda-with-images", "kernel_id": "1586172"}, {"ref": "muhammedazamkhan/what-a-irony-6-most-occurrences-give-a-high-score", "kernel_id": "1617887"}, {"ref": "hanriver0618/test-image-visualization", "kernel_id": "1590590"}, {"ref": "rezwan249/datasets-description-and-test-images-display", "kernel_id": "1602188"}, {"ref": "rezwan249/basic-eda-with-r", "kernel_id": "1619319"}, {"ref": "mengtianjian/f2-score-implementation-in-pytorch", "kernel_id": "1600289"}, {"ref": "yyqing/strange-chars-in-class-descriptions", "kernel_id": "1889516"}, {"ref": "malyutins/keras-f2-score", "kernel_id": "1757963"}, {"ref": "victorkuzn1986/quick-draft-in-keras", "kernel_id": "1746584"}, {"ref": "victorkuzn1986/image-preprocessing", "kernel_id": "1740972"}, {"ref": "brendonmckeon/naive-baseline", "kernel_id": "1684589"}, {"ref": "victorhz/fork-of-cnn-with-20-classes-trained-validation-set", "kernel_id": "1621362"}, {"ref": "victorhz/just-guess", "kernel_id": "1607211"}, {"ref": "victorhz/cnn-with-20-classes-trained-validation-set", "kernel_id": "1606610"}, {"ref": "gpreda/last-day-6-lines-baseline-compact-anton-petrov-s", "kernel_id": "2024366"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "phmagic/keras-densenet121-multi-label-baseline", "kernel_id": "2024463"}, {"ref": "alexanderliao/inclusive-images-stage-2", "kernel_id": "2047199"}, {"ref": "avni09/imdb-keras", "kernel_id": "2823564"}, {"ref": "avni09/step-1-eda-inclusive-images", "kernel_id": "2124668"}, {"ref": "adrian1acoran/1-1-pi-3-14159265358979324-codigo-e91bb9", "kernel_id": "2020663"}, {"ref": "asbudhkar/tf-version", "kernel_id": "2011793"}, {"ref": "duboviy/basic-eda-with-images", "kernel_id": "9132093"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "hanaamr202200442/notebook2e94ebee03", "kernel_id": "95277248"}, {"ref": "rudainahaitham/new-smart-glasses", "kernel_id": "95377285"}]}
{"competition_id": "10389", "kernels": []}
{"competition_id": "10396", "kernels": []}
{"competition_id": "10402", "kernels": []}
{"competition_id": "10408", "kernels": [{"ref": "chan04agr/indain-patient-liver-health-prediction", "kernel_id": "6264233"}]}
{"competition_id": "10418", "kernels": [{"ref": "kmader/rgb-transfer-learning-with-inceptionv3-for-protein", "kernel_id": "1796449"}, {"ref": "kmader/transfer-learning-for-human-protein-submission", "kernel_id": "1794080"}, {"ref": "chimael/feature-engineering", "kernel_id": "1837967"}, {"ref": "crimzoid/pytorch-dataset-loader-for-genom-data", "kernel_id": "1802654"}, {"ref": "crimzoid/4-channel-resnet-from-scratch-pytorch-lb-0-16", "kernel_id": "1812631"}, {"ref": "chriskeown/pretrained-resnet34-with-rgby-0-460-public-lb", "kernel_id": "1969235"}, {"ref": "chriskeown/protein-challenge-draft-1", "kernel_id": "1969255"}, {"ref": "chriskeown/color-combinations", "kernel_id": "1968000"}, {"ref": "kostaspapastamos/first-attempt-with-custom-model", "kernel_id": "1890892"}, {"ref": "kostaspapastamos/kernel235258fe44", "kernel_id": "1900386"}, {"ref": "zhugds/does-order-of-test-ids-matter", "kernel_id": "1936688"}, {"ref": "zhugds/resnet34-with-rgby-fast-ai-fork", "kernel_id": "1943760"}, {"ref": "loganathanspr/plain-eye-look-into-human-protein-atlas-images", "kernel_id": "1868318"}, {"ref": "robertkag/fast-image-loading", "kernel_id": "1935486"}, {"ref": "pallavikhedekar/protein-atlas-data-analysis", "kernel_id": "1829699"}, {"ref": "allunia/protein-atlas-exploration-and-baseline", "kernel_id": "1797119"}, {"ref": "allunia/uncover-target-correlations-with-bernoulli-mixture", "kernel_id": "1877049"}, {"ref": "kwentar/visualization-examples-of-each-class-in-rgb", "kernel_id": "1816522"}, {"ref": "kwentar/two-branches-xception-lb-0-3", "kernel_id": "1832768"}, {"ref": "aakashnain/minimal-starter", "kernel_id": "1792060"}, {"ref": "rejpalcz/cnn-128x128x4-keras-from-scratch-lb-0-328", "kernel_id": "1916215"}, {"ref": "rejpalcz/focalloss-for-keras", "kernel_id": "1950458"}, {"ref": "rejpalcz/input-preprocessing-for-fast-data-loading", "kernel_id": "1842158"}, {"ref": "rejpalcz/datagenerator-for-fast-data-loading", "kernel_id": "1857293"}, {"ref": "rejpalcz/best-loss-function-for-f1-score-metric", "kernel_id": "1886876"}, {"ref": "rejpalcz/gapnet-pl-lb-0-385", "kernel_id": "1981789"}, {"ref": "nikitpatel/four-img-combine-in-single-img-vgg-model", "kernel_id": "1838292"}, {"ref": "nikitpatel/eda-with-human-protein-information", "kernel_id": "1800673"}, {"ref": "nikitpatel/best-tutorial-for-beginner", "kernel_id": "1794414"}, {"ref": "guglielmocamporese/macro-f1-score-keras", "kernel_id": "1833155"}, {"ref": "guglielmocamporese/lighter-dataset-in-rgby-format-for-fast-uploading", "kernel_id": "1972455"}, {"ref": "weegee/protein-where-art-thou", "kernel_id": "1890337"}, {"ref": "ashishpatel26/transfer-learning-with-inception-v3", "kernel_id": "1838733"}, {"ref": "ashishpatel26/two-branch-inceptionv2lb-0-3", "kernel_id": "1856626"}, {"ref": "byrachonok/pretrained-inceptionresnetv2-base-classifier", "kernel_id": "1809490"}, {"ref": "nikhilroxtomar/transfer-learning-for-human-protein-submission", "kernel_id": "1803640"}, {"ref": "nikhilroxtomar/pretrained-inceptionresnetv2-lb-0-390", "kernel_id": "1820142"}, {"ref": "mathormad/inceptionv3-baseline-lb-0-379", "kernel_id": "1862794"}, {"ref": "danmoller/keras-training-with-float16-test-kernel-1", "kernel_id": "1995274"}, {"ref": "danmoller/keras-training-with-float16-test-kernel-2", "kernel_id": "1997059"}, {"ref": "shalundia/googlenet-with-v3", "kernel_id": "1942355"}, {"ref": "tenzinx/fastai-implementation", "kernel_id": "1942184"}, {"ref": "voxels/protein-atlas-exploration-and-baseline", "kernel_id": "1916124"}, {"ref": "wordroid/keras-inceptionresnetv2-resize139x139", "kernel_id": "1998602"}, {"ref": "meaninglesslives/exploring-the-data-by-label-count", "kernel_id": "1802343"}, {"ref": "iafoss/pretrained-resnet34-with-rgby-0-460-public-lb", "kernel_id": "1806121"}, {"ref": "humamfauzi/human-protein-atlas", "kernel_id": "1831064"}, {"ref": "alexanderliao/exploratory-data-analysis", "kernel_id": "1790305"}, {"ref": "alexanderliao/image-augmentation-demo-with-albumentation", "kernel_id": "1990152"}, {"ref": "gaobin/two-branch-xception-lb-0-3", "kernel_id": "1854393"}, {"ref": "grg121/protein-atlas-cnn-with-pytorch", "kernel_id": "1899227"}, {"ref": "breemen/data-exploration-by-dutchai-team", "kernel_id": "1947965"}, {"ref": "rupeshs/human-protein-atlas-eda-starter", "kernel_id": "1790715"}, {"ref": "rupeshs/rgb-image-visualization-each-class", "kernel_id": "1817365"}, {"ref": "rickychwong/protein-nb", "kernel_id": "1802596"}, {"ref": "iluxave/inceptionv3-with-sliding-window-image-breakdown", "kernel_id": "1943099"}, {"ref": "qitvision/channel-normalization", "kernel_id": "1931463"}, {"ref": "anunnikrishnan/image-classify-v1", "kernel_id": "1856469"}, {"ref": "adrian1acoran/prote-nas-humanas", "kernel_id": "1919172"}, {"ref": "adrian1acoran/fork-of-fork-of-1-3-14", "kernel_id": "1896474"}, {"ref": "adrian1acoran/1-learn-pi-3-1415926535897932-b144dd", "kernel_id": "1993701"}, {"ref": "victorhz/fork-of-cnn-with-keras", "kernel_id": "1818368"}, {"ref": "taorlin/protein-identification-eda", "kernel_id": "1873180"}, {"ref": "sanket30/base-human-protein-image-classification-dl-opencv", "kernel_id": "1799544"}, {"ref": "marcmuc/score-of-0-4-lb-0-06-here-s-why", "kernel_id": "1926169"}, {"ref": "alexpcli/protein-atlas-exporation", "kernel_id": "1876491"}, {"ref": "alexpcli/playing-with-the-images-of-the-protein-atlas", "kernel_id": "1968990"}, {"ref": "alexpcli/using-bokeh-to-explore-protein-atlas-dataset", "kernel_id": "1910499"}, {"ref": "medinamardones/first-kernel", "kernel_id": "1912009"}, {"ref": "robisc/first-try", "kernel_id": "1981157"}, {"ref": "vignam/seam-carving-to-reduce-image-size", "kernel_id": "1944997"}, {"ref": "jschnab/exploring-the-human-protein-atlas-images", "kernel_id": "1792918"}, {"ref": "tcapelle/4-channel-darknet-sz-128", "kernel_id": "1828892"}, {"ref": "tcapelle/4-channel-darknet-sz-512", "kernel_id": "1948643"}, {"ref": "underfaywu/protein-atlas-exploration-and-baseline-49ee59", "kernel_id": "1999056"}, {"ref": "bachrr/human-protein-atlas-eda", "kernel_id": "1857324"}, {"ref": "bachrr/seq2seq-for-english-arabic-translation-in-keras", "kernel_id": "1823292"}, {"ref": "mdkhalid480/kernelc059078ba4", "kernel_id": "1812198"}, {"ref": "mickeypvx/actually-this-is-my-first-rodeo", "kernel_id": "1943478"}, {"ref": "sidujjain/combine-images-for-faster-training", "kernel_id": "2023134"}, {"ref": "omoekan09/hpa-model-256", "kernel_id": "2776893"}, {"ref": "chriskeown/inception-baseline", "kernel_id": "2128991"}, {"ref": "shivamsizzling/starter-kernel-for-beginners-by-beginner", "kernel_id": "2192892"}, {"ref": "drewlinsley/dscov-tutorial", "kernel_id": "2937304"}, {"ref": "super13579/fast-download-hpa-data-with-multiple-core-7hours", "kernel_id": "2599788"}, {"ref": "peter91/original-way-to-convert-4-colors-to-grayscale", "kernel_id": "2369915"}, {"ref": "dimskraft/functions-visualizations-stats", "kernel_id": "2071098"}, {"ref": "dimskraft/functions-and-multicolor-visualizations", "kernel_id": "2061246"}, {"ref": "yentianbao/pytorch-practice-cnn", "kernel_id": "2026008"}, {"ref": "pedrodiamel/human-protein-atlas-load-dataset", "kernel_id": "2375075"}, {"ref": "mahewitt/protein-atlas-exploration-and-baseline", "kernel_id": "2035835"}, {"ref": "pedroforli/human-protein-image-classification", "kernel_id": "2210109"}, {"ref": "smehta12/modeling-protein-identification", "kernel_id": "2256936"}, {"ref": "smehta12/eda-and-base-modeling", "kernel_id": "2199486"}, {"ref": "darrellulm/test-run-for-the-pre-trained-sample-set", "kernel_id": "2491308"}, {"ref": "aglotero/join-channels-in-one-file", "kernel_id": "2011040"}, {"ref": "vghorakavi/human-atlas-data-exploration", "kernel_id": "2119302"}, {"ref": "ashishpatel26/tensorflow-for-beginner-to-advance", "kernel_id": "2441886"}, {"ref": "alexus1000/nasnet-mobile", "kernel_id": "2034579"}, {"ref": "nikhilpandey360/pretrained-resnet34-with-rgby-0-460-public-lb", "kernel_id": "2531795"}, {"ref": "nikhilpandey360/tensorflow-transfer-learning", "kernel_id": "2529523"}, {"ref": "nikhilpandey360/rgby-adam-sigmoid-500-10-ep-10-inception", "kernel_id": "2423591"}, {"ref": "nikhilpandey360/rgby-500-10-ep-50-inceptionresnet-0-1", "kernel_id": "2414190"}, {"ref": "nikhilpandey360/imagechange-of-fork-of-rgby-adam-sigmod-best", "kernel_id": "2425735"}, {"ref": "nikhilpandey360/beginner-eda-and-transfer-learning", "kernel_id": "2301677"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "arunkumarramanan/data-science-python-fuel-efficiency-prediction", "kernel_id": "2272905"}, {"ref": "thegame76/faster-loading-of-data-from-a-hdf5-datastore", "kernel_id": "2333650"}, {"ref": "thundo/protein-adversarial-validation", "kernel_id": "2010201"}, {"ref": "bhamin/human-protein-atlas-xceptionnet-3-chs", "kernel_id": "2696488"}, {"ref": "hortonhearsafoo/fastai-v1-starter-pack-kernel-edition-lb-0-323", "kernel_id": "2446940"}, {"ref": "evagian/protein-atlas-image-classification-senet-model-py", "kernel_id": "2545083"}, {"ref": "krishamehta/protein-atlas-exploration-and-baseline", "kernel_id": "2526815"}, {"ref": "patthoo/uncover-target-correlations-with-bernoulli-mixture", "kernel_id": "2331717"}, {"ref": "patthoo/first-model-with-human-protein-atlas-competition", "kernel_id": "2410932"}, {"ref": "wordroid/140x140-resized-numpy-array", "kernel_id": "2029912"}, {"ref": "wordroid/keras-inceptionresnetv2-resize139x139-005focal", "kernel_id": "2034071"}, {"ref": "wordroid/139x139-resized-numpy-array", "kernel_id": "2000545"}, {"ref": "wordroid/inceptionresnetv2-resize256-f1loss-lb0-419", "kernel_id": "2067573"}, {"ref": "wordroid/resnet50-4x256-globalmax-lb-0-443", "kernel_id": "2420788"}, {"ref": "dromosys/human-protein-fastai-v5", "kernel_id": "2193349"}, {"ref": "learningsharath/human-protein-atlas-rgb", "kernel_id": "2023267"}, {"ref": "malyutins/f1-macro-score-on-small-batches", "kernel_id": "2303147"}, {"ref": "joydeb28/data-science-cheatsheets", "kernel_id": "2493290"}, {"ref": "leofunny/protein-atlas-exploration-and-baseline", "kernel_id": "2241442"}, {"ref": "alexanderliao/fighting-label-imbalance-starter-kit-pytorch", "kernel_id": "2056856"}, {"ref": "gdmacmillan/hpa-notes-from-loss-development-and-eda", "kernel_id": "2546401"}, {"ref": "manuscrits/list-and-display-duplicates", "kernel_id": "2243197"}, {"ref": "grg121/protein-atlas-understanding-task", "kernel_id": "2187018"}, {"ref": "guntherthepenguin/fastaiv1-weighted-loss-oversampling", "kernel_id": "2446659"}, {"ref": "chigozie/correlation-of-endosomes-with-lysosomes", "kernel_id": "2275317"}, {"ref": "econdata/humanprotiensatlasimageclassification", "kernel_id": "2648505"}, {"ref": "jamesying/load-external-data-297dba", "kernel_id": "2356605"}, {"ref": "leighplt/confusion-matrix", "kernel_id": "2575833"}, {"ref": "thesdfdfbaipo/kernelac0446fbd9", "kernel_id": "2472224"}, {"ref": "l37h4l/protein-resnet-notebook", "kernel_id": "2152073"}, {"ref": "zikazika/predicting-sickness-with-weather-data", "kernel_id": "2416323"}, {"ref": "adrian1acoran/nyc-taxi-eda-update-the-fast-the-curious", "kernel_id": "2036032"}, {"ref": "adrian1acoran/1-1-pi-3-14159265358979324-codigo-e91bb9", "kernel_id": "2020663"}, {"ref": "adrian1acoran/1-pi-3-14159265358979324-code-7d7348", "kernel_id": "2022096"}, {"ref": "amneves/keras-proteins", "kernel_id": "2097203"}, {"ref": "sujatak44/dl-xferlearn-finetune-inceptionresnetv2", "kernel_id": "2275240"}, {"ref": "hung96ad/resnet34-with-rgby-fast-ai-fork-127e02", "kernel_id": "2347364"}, {"ref": "dudwp0523/dna-first-kaggle", "kernel_id": "2307249"}, {"ref": "moshel/mobilenet-fl", "kernel_id": "2782543"}, {"ref": "panjapolps/external-data-hpa", "kernel_id": "2469176"}, {"ref": "rajkkapadia/hpaic-step-by-step-guide-for-beginners", "kernel_id": "2160209"}, {"ref": "sunrise100/dhiraj-k-protein-atlas", "kernel_id": "2392740"}, {"ref": "manyfoldcv/an-end-to-end-starter-kit-in-pytorch-xception", "kernel_id": "2239470"}, {"ref": "happy888/pretrained-resnet34-with-rgby-0-460-public-75fb6f", "kernel_id": "2276765"}, {"ref": "tcapelle/resnet-18-with-fastai-sz-512", "kernel_id": "2547946"}, {"ref": "tcapelle/resnet-18-with-fastai", "kernel_id": "2544883"}, {"ref": "artemtprv/load-external-data", "kernel_id": "2181258"}, {"ref": "guffaw/finding-the-imbalanced-image-and-its-class-label", "kernel_id": "2062874"}, {"ref": "jmourad100/4-channel-v2-with-rare-plus-threshold-and-swa", "kernel_id": "2605023"}, {"ref": "sherymalik714/pretrained-resnet34-with-rgby-0-460-public-39c7dd", "kernel_id": "2237656"}, {"ref": "sherymalik714/pretrained-resnet34-with-rgby-0-460-public-4a1df3", "kernel_id": "2242272"}, {"ref": "sherymalik714/pretrained-resnet34-with-rgby-0-460-public-f9756f", "kernel_id": "2247624"}, {"ref": "anastasb/tensorflow-focal-loss", "kernel_id": "2373375"}, {"ref": "anastasb/tensorflow-model-different-losses", "kernel_id": "2352877"}, {"ref": "msanjay/human-protien-atlas-image-classification", "kernel_id": "2060451"}, {"ref": "msanjay/eda-with-human-protein-information", "kernel_id": "2029951"}, {"ref": "aidoctor/pretrained-resnet34-with-rgby-0-460-public-ac3c07", "kernel_id": "2706488"}, {"ref": "linyuko/pretrained-inceptionresnetv2-base-classifier", "kernel_id": "2155510"}, {"ref": "johntiger1/minimal-saving-example", "kernel_id": "2078250"}, {"ref": "johntiger1/csc420-pea-lots-of-dropout", "kernel_id": "2077815"}, {"ref": "johntiger1/gapnet-pl-lb-0-385-salt-pepper-savefig-test", "kernel_id": "2249183"}, {"ref": "antitak/own-env-notebook", "kernel_id": "2486398"}, {"ref": "achoetwice/focal-loss-with-pre-train-v2", "kernel_id": "2469909"}, {"ref": "achoetwice/4-channel-v2-with-rare-t2-plus-threshold", "kernel_id": "2572064"}, {"ref": "gaojunsu/adm-of-ee258-project2-seresnet50", "kernel_id": "2346263"}, {"ref": "gaojunsu/fork-of-ee258-project-2-inception-v4", "kernel_id": "2350890"}, {"ref": "gaojunsu/ee258-project2-seresnet50", "kernel_id": "2324956"}, {"ref": "gaojunsu/sgd-of-ee258-project2-seresnet50", "kernel_id": "2339808"}, {"ref": "alexstrong/protein-atlas-exploration-and-baseline", "kernel_id": "2607968"}, {"ref": "cococasswill/human-protein-atlas-test", "kernel_id": "3587949"}, {"ref": "vandalko/human-protein-resnet34-training-pytorch", "kernel_id": "3258862"}, {"ref": "vandalko/human-protein-resnet50-training-pytorch", "kernel_id": "3629832"}, {"ref": "sandhaya4u/displaying-213-x-2-duplicates", "kernel_id": "3802680"}, {"ref": "mohanamurali/pretrained-inceptionresnetv2", "kernel_id": "3229329"}, {"ref": "anil777/pretrained-resnet34-with-rgby-0-460-public-lb", "kernel_id": "3583451"}, {"ref": "anil777/pretrained-inceptionresnetv2-base-classifier", "kernel_id": "3611013"}, {"ref": "cherring/rxrx-kerasapplications-starter", "kernel_id": "5158575"}, {"ref": "struik/human-protein-classification", "kernel_id": "6844542"}, {"ref": "enjoyu/exploring-the-human-protein-atlas-images", "kernel_id": "6016142"}, {"ref": "varunmulchandani/imagemain", "kernel_id": "7966632"}, {"ref": "breathe825/best-loss-function-for-f1-score-metric", "kernel_id": "9374416"}, {"ref": "cbmelo97/virado-no-jiraya", "kernel_id": "10489872"}, {"ref": "joaovictorbravo/kernel1561fe7772", "kernel_id": "10490358"}, {"ref": "zij212/human-protein-atlas-data-stats", "kernel_id": "11661046"}, {"ref": "zij212/human-protein-atlas-resnet34-focalloss", "kernel_id": "11661498"}, {"ref": "zij212/human-protein-atlas-train-val-split", "kernel_id": "11660044"}, {"ref": "zij212/human-protein-atlas-eda", "kernel_id": "11779452"}, {"ref": "zij212/human-protein-atlas-prediction", "kernel_id": "11702143"}, {"ref": "zij212/human-protein-atlas-tune-thresholds", "kernel_id": "11698142"}, {"ref": "kentaroh34/notebook304814e980", "kernel_id": "12709560"}, {"ref": "deadcypher/project-v2", "kernel_id": "13555935"}, {"ref": "deadcypher/project-4th-year", "kernel_id": "13465573"}, {"ref": "hrithikadodia/human-protein-atlas-with-tf-data", "kernel_id": "13153459"}, {"ref": "higgsboson120900/tarpprojectmain", "kernel_id": "14803191"}, {"ref": "elloss/notebook31a247cf1c", "kernel_id": "14847777"}, {"ref": "bineeshsps/protein-classification-final", "kernel_id": "14537328"}, {"ref": "kaiketelhut/notebook6f23c633dc", "kernel_id": "14525929"}, {"ref": "onodera/compare-with-previous-hpa-competition", "kernel_id": "15708714"}, {"ref": "imharjyotbagga/human-protein-atlas", "kernel_id": "15660215"}, {"ref": "mamanmythien/human-protein-atlas-with-tf-data", "kernel_id": "15537235"}, {"ref": "pragatheswari/final-yr-project", "kernel_id": "16386188"}, {"ref": "hamzafarook/targets-graph", "kernel_id": "18351309"}, {"ref": "hamzafarook/hpa-new", "kernel_id": "18049901"}, {"ref": "hamzafarook/protein-atlas-image-classification", "kernel_id": "18009911"}, {"ref": "crecen/researchera-atlas", "kernel_id": "18659263"}, {"ref": "mohammadrezarezae/human-protein-atlas-image-classification", "kernel_id": "18916748"}, {"ref": "adityakris01/imageprocessing-project", "kernel_id": "21343651"}, {"ref": "ekaterinakozak/hpa-e1010c83f2", "kernel_id": "25068988"}, {"ref": "linaaljoudi/iuocalculate-edit", "kernel_id": "26008609"}, {"ref": "linamohammed/new-iou-calculate", "kernel_id": "27544159"}, {"ref": "linamohammed/balance-multi-selu-gapnet1", "kernel_id": "27544908"}, {"ref": "hazemahmedmurshedi/protein-classification-by-inception-v3", "kernel_id": "29077058"}, {"ref": "kaledhoshme/human-protein-atlas-image-classification", "kernel_id": "30647687"}, {"ref": "liucong12601/mlchapter2", "kernel_id": "31577680"}, {"ref": "djambalagory/projet-n-1-deepl", "kernel_id": "34461976"}, {"ref": "harshraj09sp/cgan-protein-dataset", "kernel_id": "36978019"}, {"ref": "oleksiivalitov/atlas-human-proteine", "kernel_id": "57518847"}, {"ref": "milky313/exploring-the-human-protein-atlas-images", "kernel_id": "59676964"}, {"ref": "thanhminhnguynl/image", "kernel_id": "61203010"}, {"ref": "karimfathy054/protein", "kernel_id": "64513589"}, {"ref": "nishalamboria/resnet50v2-pipeline-cnn-explore-hpa", "kernel_id": "65934248"}, {"ref": "nishalamboria/pipeline-rescnn-aug-explore-hpa", "kernel_id": "65700914"}, {"ref": "ratidi/compare", "kernel_id": "65942019"}, {"ref": "cazans/notebook5d6dd89453", "kernel_id": "66915017"}, {"ref": "zachchoi/researchera-atlas", "kernel_id": "67662585"}, {"ref": "juanalbis/test-deeplearning", "kernel_id": "68455674"}, {"ref": "tanhao123456/mlchapter2test", "kernel_id": "71094032"}, {"ref": "mustafacivici/protein-atlas-with-different-models", "kernel_id": "74591572"}, {"ref": "mustafacivici/kaggle-atlas-protein-test", "kernel_id": "76157075"}, {"ref": "aagamb/feb-7-working-notebook", "kernel_id": "76206697"}, {"ref": "aagamb/focal-cutmix", "kernel_id": "78216037"}, {"ref": "aagamb/not-cutmix-bce", "kernel_id": "78331057"}, {"ref": "heyshrey1/focal-cutmix", "kernel_id": "78330758"}, {"ref": "vivekchaudhari144/notebook51cbe805ab", "kernel_id": "85615741"}, {"ref": "alexanderkireev/06-ml-trainings-cv", "kernel_id": "111043535"}, {"ref": "mabysherwood/humanatlas-code", "kernel_id": "117874961"}, {"ref": "sanjoyroylsu/human-protein-image-classification-sroy", "kernel_id": "117991243"}, {"ref": "mabysherwood/notebook9071e3a633", "kernel_id": "118308917"}, {"ref": "vjadhikari/human-protein-image-classification-bijay", "kernel_id": "118015744"}, {"ref": "vjadhikari/notebook9071e3a633", "kernel_id": "118515807"}, {"ref": "mdnabidhashar/human-atlas-nabid", "kernel_id": "118170345"}, {"ref": "loislois/human-protein-atlas-image-classification", "kernel_id": "120628230"}, {"ref": "jome1g/microscope-ai-segmentation-and-deployment", "kernel_id": "125102711"}, {"ref": "charanm435/big-data", "kernel_id": "131225832"}]}
{"competition_id": "10423", "kernels": []}
{"competition_id": "10445", "kernels": [{"ref": "konradb/lgb-fe-lb-3-707", "kernel_id": "2283931"}, {"ref": "nikhilikhar/elo-random-forest-with-purchase-date", "kernel_id": "2651287"}, {"ref": "lithuak/reducing-data-loading-time-to-3-6sec-size-by-70", "kernel_id": "2419516"}, {"ref": "vykhand/eda01-late-eda", "kernel_id": "2854108"}, {"ref": "dex314/just-another-data-agg-and-model", "kernel_id": "2722267"}, {"ref": "sudalairajkumar/simple-exploration-notebook-elo", "kernel_id": "2210732"}, {"ref": "kailex/r-eda-for-elo-ensemble-learning", "kernel_id": "2218661"}, {"ref": "kailex/tidy-elo-starter-3-70", "kernel_id": "2217327"}, {"ref": "lokendradevangan/elo-recommendation-eda", "kernel_id": "2690423"}, {"ref": "mohdatir/towards-de-anonymizing-the-data-some-insig-e695ca", "kernel_id": "2897035"}, {"ref": "yassinealouini/how-small-could-it-get", "kernel_id": "2693637"}, {"ref": "yassinealouini/small-historical-transactions-parquet", "kernel_id": "2743205"}, {"ref": "tarunaryyan/xtreme-gradient-boosting-hypertuning-26", "kernel_id": "2724919"}, {"ref": "peterhurford/plotting-purchase-curves", "kernel_id": "2436128"}, {"ref": "peterhurford/you-re-going-to-want-more-categories-lb-3-737", "kernel_id": "2229697"}, {"ref": "rooshroosh/simple-data-exploration-with-python-lb-3-760", "kernel_id": "2221992"}, {"ref": "hireme/boost", "kernel_id": "2212781"}, {"ref": "cyones77/tidy-elo-starter-with-lightgbm-and-cv-3-711", "kernel_id": "2275703"}, {"ref": "vanyaslobodchikov/elo-eda", "kernel_id": "2628540"}, {"ref": "firstprayer/understand-loyalty-score-w-r-t-hist-vs-new", "kernel_id": "2263421"}, {"ref": "saurabh502/why-no-simple-blend-plb-3-687", "kernel_id": "2761006"}, {"ref": "hyominchoi/embedding-excersie-with-elo-merchant-rec-data", "kernel_id": "2754355"}, {"ref": "hyominchoi/elo-merchant-category-lab", "kernel_id": "2706181"}, {"ref": "joaopaulomartins/elo-world-merchants", "kernel_id": "2390756"}, {"ref": "abhi111/elo-merchant-modeling", "kernel_id": "2495799"}, {"ref": "tminima/elo-eda", "kernel_id": "2837043"}, {"ref": "cttsai/lgbm-starter-w-aggregations", "kernel_id": "2222359"}, {"ref": "cttsai/simple-xgboost-cv-bagging", "kernel_id": "2861242"}, {"ref": "cttsai/simple-lgbm-cv-bagging", "kernel_id": "2873848"}, {"ref": "cttsai/simple-huber-loss-lgbm-cv-bagging", "kernel_id": "2983677"}, {"ref": "shubhinderrana/feature-engineering-monthly-rate-0-002-cv-lb", "kernel_id": "2989609"}, {"ref": "silverstone1903/just-train-data-lgb-xgb-catboost-w-blending", "kernel_id": "2213824"}, {"ref": "silverstone1903/just-train-data-lgb-r", "kernel_id": "2216691"}, {"ref": "himabindukunani/my-first-kernel", "kernel_id": "2962716"}, {"ref": "viswanathravindran/simple-baseline-using-automl", "kernel_id": "2278636"}, {"ref": "vijayrajmeena/elo-enlgbxg-py", "kernel_id": "2224515"}, {"ref": "hejsa32k/elo-beginner-from-exploring-to-submission", "kernel_id": "2271985"}, {"ref": "bhatvm/elo-eda-and-ml-with-xgboost-and-rf", "kernel_id": "2556075"}, {"ref": "rpalsaxena/preprocessing-of-29m-transaction-records", "kernel_id": "2282827"}, {"ref": "raddar/towards-de-anonymizing-the-data-some-insights", "kernel_id": "2865687"}, {"ref": "raddar/target-true-meaning-revealed", "kernel_id": "2904638"}, {"ref": "raddar/card-id-loyalty-different-points-in-time", "kernel_id": "2913411"}, {"ref": "raddar/merchant-id-imputations", "kernel_id": "2970250"}, {"ref": "indranilbhattacharya/let-s-play-with-xgb", "kernel_id": "2426284"}, {"ref": "delayedkarma/outlier-target-30-accuracy-rf-smote", "kernel_id": "2341665"}, {"ref": "delayedkarma/let-s-add-some-features-for-the-national-holidays", "kernel_id": "2323672"}, {"ref": "delayedkarma/utilizing-features-from-merchants-csv", "kernel_id": "2273419"}, {"ref": "tunguz/mitsuru-features-only-train-and-test", "kernel_id": "2735783"}, {"ref": "tunguz/fathers-day-specials-just-the-features", "kernel_id": "2408919"}, {"ref": "tunguz/elo-with-h2o-automl", "kernel_id": "2409202"}, {"ref": "tunguz/eloda-with-feature-engineering-and-stacking", "kernel_id": "2248812"}, {"ref": "tunguz/elo-adversarial-validation", "kernel_id": "2227152"}, {"ref": "atharkharal/elo-my1", "kernel_id": "2910745"}, {"ref": "praxitelisk/elo-eda-ml", "kernel_id": "2905166"}, {"ref": "amitkumarjaiswal/bayesian-ridge", "kernel_id": "2882261"}, {"ref": "oneraghavan/elo-simple-eda-and-baseline", "kernel_id": "2219727"}, {"ref": "saif1234/basic-eda-and-baseline-model-3-847", "kernel_id": "2817126"}, {"ref": "georsara1/3-first-pca-components-explain-99-99-of-variance", "kernel_id": "2594316"}, {"ref": "wrosinski/how-to-start-with-kaggle-kaggle-meetup-warsaw", "kernel_id": "2217232"}, {"ref": "thuongdinh/ensemble-with-best-weights-finding", "kernel_id": "2227142"}, {"ref": "thuongdinh/feature-engineering-and-lightgbm-starter-fork", "kernel_id": "2220489"}, {"ref": "majickdave/myelo", "kernel_id": "2275105"}, {"ref": "springmanndaniel/run-for-r-est-run-bagged-random-forests", "kernel_id": "2272543"}, {"ref": "bhavesh09/first-submission", "kernel_id": "2213078"}, {"ref": "bhavesh09/lightgbm-with-all-features", "kernel_id": "2360875"}, {"ref": "ajithvajrala/elo-merchant-category-recommendation", "kernel_id": "2533327"}, {"ref": "tomtum/elo-fastai-starter", "kernel_id": "2969552"}, {"ref": "robikscube/starter-eda-xgboost-of-elo-merchant-data", "kernel_id": "2210272"}, {"ref": "chvraj/elo-exploration-predictive-modeling-in-r", "kernel_id": "2378372"}, {"ref": "malina015/elo-merchant-first-look", "kernel_id": "2218958"}, {"ref": "harshit92/prediction-using-xgboost-3-771", "kernel_id": "2262941"}, {"ref": "richarde/how-to-easily-reduce-training-times", "kernel_id": "2242538"}, {"ref": "dhimananubhav/bayesian-optimization-of-xgb-parameters", "kernel_id": "2244179"}, {"ref": "kingychiu/to-save-time-cache-your-aggregations", "kernel_id": "2660408"}, {"ref": "anjulk/elo-program-v-2", "kernel_id": "2812885"}, {"ref": "arjunsinghyadav2/customers-of-elo", "kernel_id": "2429463"}, {"ref": "akshay00/let-s-move-up-on-the-lb-3-703-please-upvote", "kernel_id": "2293687"}, {"ref": "alajangi/combining-your-model-with-a-model-without-o-0d991a", "kernel_id": "2632150"}, {"ref": "alajangi/feature-engineering-stacking-ensemble", "kernel_id": "2612714"}, {"ref": "artgor/elo-eda-and-models", "kernel_id": "2212501"}, {"ref": "rajashri/loyalty-credit-card", "kernel_id": "2479572"}, {"ref": "rgoodman/elo-merchant-with-no-peeking-at-other-kernels", "kernel_id": "2940150"}, {"ref": "pedroforli/elo-data-engineering", "kernel_id": "2425107"}, {"ref": "ranjanabhay/elo-data-exploration", "kernel_id": "2459968"}, {"ref": "classtag/how-to-handle-this-most-outliers-in-target-values", "kernel_id": "2230984"}, {"ref": "moizzz/r-eda-elo", "kernel_id": "2596269"}, {"ref": "gpreda/elo-world-high-score-without-blending", "kernel_id": "2327892"}, {"ref": "gpreda/elo-eda-and-prediction", "kernel_id": "2330332"}, {"ref": "gpreda/r-elo-eda", "kernel_id": "2504864"}, {"ref": "amitrajan012/eda-and-base-models-lb-3-921", "kernel_id": "2225479"}, {"ref": "sreeedevi/merchant-rating-variables-revealed", "kernel_id": "2976906"}, {"ref": "hrmello/starter-neural-network-3-939-lb", "kernel_id": "2244763"}, {"ref": "vinchileo/elo-data-like-a-brain-fe", "kernel_id": "2840526"}, {"ref": "tianhaoz95/feature-engineering", "kernel_id": "2304158"}, {"ref": "manjeetsingh/elo-xgb", "kernel_id": "2531470"}, {"ref": "mks2192/generating-feature", "kernel_id": "2631355"}, {"ref": "mks2192/feature-engineering", "kernel_id": "2847914"}, {"ref": "mks2192/features-from-old-model", "kernel_id": "2860261"}, {"ref": "mks2192/fork-of-train-test-features-old-new-combin-150-fea", "kernel_id": "2893486"}, {"ref": "smasar/tutorial-eda-preprocessing-processing-evaluation", "kernel_id": "2224093"}, {"ref": "calabist/resolving-mystery-of-reference-date", "kernel_id": "2914651"}, {"ref": "fabiendaniel/elo-world", "kernel_id": "2212076"}, {"ref": "fabiendaniel/selecting-features", "kernel_id": "2308653"}, {"ref": "fabiendaniel/hyperparameter-tuning", "kernel_id": "2310763"}, {"ref": "rlagrois/elo-first", "kernel_id": "2329895"}, {"ref": "abhishekaarush/lightgbm-gbdt-rf-baysian-ridge-reg-lb-3-61", "kernel_id": "2587076"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "ashishpatel26/genetic-algorithm-for-beginner-to-advance", "kernel_id": "2159938"}, {"ref": "ashishpatel26/lightgbm-goss-dart-parameter-tuning", "kernel_id": "2300066"}, {"ref": "ashishpatel26/lb-3-687-truncated-mean", "kernel_id": "2334218"}, {"ref": "ashishpatel26/advance-pandas-tricks-and-techniques", "kernel_id": "2326628"}, {"ref": "ashishpatel26/80-features-with-lightgbm-cv-bayesian-approach", "kernel_id": "2210772"}, {"ref": "ashishpatel26/rmse-3-66-multimodel-ridge-stacking", "kernel_id": "2276903"}, {"ref": "ashishpatel26/ridge-lightgbm-feature-engineering-bayesian", "kernel_id": "2269748"}, {"ref": "yhn112/data-exploration-lightgbm-catboost-lb-3-760", "kernel_id": "2228805"}, {"ref": "prashanththangavel/c-ustomer-l-ifetime-v-alue", "kernel_id": "2747062"}, {"ref": "keeping/elo-data-analysis", "kernel_id": "2698868"}, {"ref": "sgorlick/target-is-noisy-cauchy-distributed", "kernel_id": "2438574"}, {"ref": "arunbhuta/target-based-on-lm-v3", "kernel_id": "2834201"}, {"ref": "akosciansky/do-train-and-test-set-share-the-same-distribution", "kernel_id": "2245377"}, {"ref": "arunkumarramanan/data-science-python-fuel-efficiency-prediction", "kernel_id": "2272905"}, {"ref": "arunkumarramanan/data-science-in-r-and-titanic-survival-prediction", "kernel_id": "2272949"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "rayidura/elo-lag-and-lgbm-scores", "kernel_id": "2271128"}, {"ref": "teemingyi/investigating-loyalty", "kernel_id": "2251773"}, {"ref": "teemingyi/investigating-33-target", "kernel_id": "2282513"}, {"ref": "prasunmishra/nn-relu-one-hiddenlayer", "kernel_id": "2619977"}, {"ref": "mfjwr1/simple-lightgbm-without-blending", "kernel_id": "2733054"}, {"ref": "dineshzero/simple-neural-network", "kernel_id": "2918628"}, {"ref": "seshadrikolluri/elo-recommendations-step-by-step", "kernel_id": "2211389"}, {"ref": "chandlervan/baselinev2", "kernel_id": "2444266"}, {"ref": "chandlervan/baselinev3", "kernel_id": "2472940"}, {"ref": "chandlervan/lgb-with-some-statistic-feature", "kernel_id": "2252349"}, {"ref": "marlesson/vae-to-create-embedding-of-merchant", "kernel_id": "2218245"}, {"ref": "ajithvallabai/elo-world", "kernel_id": "2542094"}, {"ref": "ajithvallabai/recommedation-system-elo-merchant", "kernel_id": "2996970"}, {"ref": "tuanflash/simple-lgbm-without-blending-extract-feature", "kernel_id": "2760822"}, {"ref": "chauhuynh/my-first-kernel-3-699", "kernel_id": "2305504"}, {"ref": "jacksmengel/elo-lightgbm-5-folds", "kernel_id": "2645348"}, {"ref": "skeftical/elo-world-dimensionality-reduction-for-outliers", "kernel_id": "2675977"}, {"ref": "youhanlee/how-to-sample-more-correctly", "kernel_id": "2228354"}, {"ref": "youhanlee/hello-elo-ensemble-will-help-you", "kernel_id": "2219416"}, {"ref": "dmdm02/feature-engineering-stacking-ensemble", "kernel_id": "2496848"}, {"ref": "pracas/elo-merchant-data-dimen", "kernel_id": "2537876"}, {"ref": "swapkh91/first-try-elo", "kernel_id": "2731588"}, {"ref": "rajeshcv/feature-engineering-on-multiple-reference-dates", "kernel_id": "2931082"}, {"ref": "jamesdhope/elo-xgboost", "kernel_id": "2801890"}, {"ref": "cywwayne/starter-code-fe-for-time-series-model-lstm", "kernel_id": "2919596"}, {"ref": "soojung3421/eda-first-trial", "kernel_id": "2575297"}, {"ref": "mandan/choosing-the-best-hyperparameters-for-lightgbm", "kernel_id": "2607690"}, {"ref": "snagaria/elo-competion", "kernel_id": "2263100"}, {"ref": "ncsuahlusar/data-preprocessing", "kernel_id": "2460337"}, {"ref": "bparesh/elo-eda-model-my-first-r-kernel", "kernel_id": "2221965"}, {"ref": "peacemaket/outlier-prediction-eda-fe-model-etc", "kernel_id": "2880714"}, {"ref": "joydeb28/awesome-data-science-cheatsheet", "kernel_id": "2493275"}, {"ref": "wakamezake/elo-eda-pandas-profiling", "kernel_id": "2464807"}, {"ref": "denzo123/a-closer-look-at-date-variables", "kernel_id": "2234808"}, {"ref": "yiping950909/feature-engineering-and-light-gbm", "kernel_id": "2545982"}, {"ref": "nikitsoftweb/you-re-going-to-want-more-categories-lb-3-70", "kernel_id": "2232924"}, {"ref": "nikitsoftweb/catboost-with-live-graphs-of-rmse", "kernel_id": "2367160"}, {"ref": "nikitsoftweb/beginner-notebook-of-elo-merchant", "kernel_id": "2367356"}, {"ref": "nikitsoftweb/easy-lightgbm-grid-search", "kernel_id": "2333453"}, {"ref": "hozler/outlier-detection-and-removal", "kernel_id": "2290428"}, {"ref": "hozler/exploration-and-visualization-for-card-data", "kernel_id": "2297735"}, {"ref": "hozler/simple-decision-tree-just-for-a-sample-submission", "kernel_id": "2274239"}, {"ref": "anirbank/elo-cards-basic-eda-exposes-data-skewness", "kernel_id": "2269213"}, {"ref": "anirbank/elo-cards-predictive-modeling-scratchpad", "kernel_id": "2497426"}, {"ref": "anirbank/exploring-relationships-summing-attribs", "kernel_id": "2539501"}, {"ref": "anirbank/fork-of-exploring-relationships-merch-grp-strat", "kernel_id": "2543002"}, {"ref": "anirbank/exploring-relationships-merch-cat-stratified", "kernel_id": "2518748"}, {"ref": "bgrad3031/kaggle-beginner-lgbm-starter", "kernel_id": "2235932"}, {"ref": "jzaldi/elo-reduce-mem-usage-gotchas", "kernel_id": "2442730"}, {"ref": "wanghuanhuan/kaggle-first-12", "kernel_id": "2688275"}, {"ref": "wanghuanhuan/kernel6681532d74", "kernel_id": "2554945"}, {"ref": "tayyabali55/statistical-methods-behind-machine-leaning", "kernel_id": "2708158"}, {"ref": "dineshramasamy/negative-result-merchant-id-based-embedding", "kernel_id": "2230176"}, {"ref": "dineshramasamy/explore-elo", "kernel_id": "2221565"}, {"ref": "vbateman/ml-categorisation-elo-challenge", "kernel_id": "2400373"}, {"ref": "sergeykalutsky/some-data-exploration-elo", "kernel_id": "2218686"}, {"ref": "guntherthepenguin/fastai-based-mixed-input-model-lb-3-8", "kernel_id": "2272895"}, {"ref": "amanagr/elo-lgbm", "kernel_id": "2764297"}, {"ref": "tapioca/category-1-2-3-in-transactions", "kernel_id": "2363842"}, {"ref": "econdata/elo-ml", "kernel_id": "2947009"}, {"ref": "econdata/elo-17", "kernel_id": "2947047"}, {"ref": "econdata/elomerchant", "kernel_id": "2877930"}, {"ref": "econdata/elomerchantml", "kernel_id": "2878253"}, {"ref": "bamps53/kernel-random10", "kernel_id": "2925801"}, {"ref": "jiazhuang/basic-info-about-historical-new-transactions", "kernel_id": "2334074"}, {"ref": "hiralmshah/elo-data-analysis", "kernel_id": "2756690"}, {"ref": "guru1411/competition-assignment", "kernel_id": "2815525"}, {"ref": "neerajnatu/elo-merchant-base-model", "kernel_id": "2991888"}, {"ref": "leighplt/brasil-estat-sticas", "kernel_id": "2953028"}, {"ref": "brendanhasz/elo-modeling", "kernel_id": "2915858"}, {"ref": "brendanhasz/elo-data-cleaning-and-eda", "kernel_id": "2986234"}, {"ref": "saeedheydari/elo-kernel", "kernel_id": "2479243"}, {"ref": "chocozzz/simple-data-exploration-with-python-lb-3-764", "kernel_id": "2218754"}, {"ref": "chocozzz/elo-merchant-eda-for-beginners", "kernel_id": "2915349"}, {"ref": "truocpham/feature-engineering-and-lightgbm-starter", "kernel_id": "2215208"}, {"ref": "truocpham/oof-xgboost-starter", "kernel_id": "2231090"}, {"ref": "truocpham/oof-catboost-starter", "kernel_id": "2231025"}, {"ref": "truocpham/ensemble-approach-starter", "kernel_id": "2231145"}, {"ref": "nklinzhiming/classfy-first-and-then-regress", "kernel_id": "2942094"}, {"ref": "misclassified/a-quick-look-at-the-data", "kernel_id": "2263817"}, {"ref": "undrallaramesh/hello-elo-merchant-ensembles-and-lgb", "kernel_id": "2225698"}, {"ref": "anthonylauly/combine-and-doing-feature-engineering", "kernel_id": "2732505"}, {"ref": "pavankumarkulkarni/historical-transaction-size-reduction", "kernel_id": "2262543"}, {"ref": "rahulahuja010/reducing-memory-footprint", "kernel_id": "2252105"}, {"ref": "harishvutukuri/elo-merchant-category-recommendation", "kernel_id": "2558100"}, {"ref": "juliaflower/feature-engineering-xgboost-lgbm-with-r", "kernel_id": "2221200"}, {"ref": "juliaflower/feature-selection-lgbm-with-python", "kernel_id": "2306858"}, {"ref": "mjbahmani/statistical-analysis-for-elo", "kernel_id": "2224920"}, {"ref": "sikolia/elo-data-preparation", "kernel_id": "2819957"}, {"ref": "sikolia/my-second-python-notebook-elo", "kernel_id": "2608552"}, {"ref": "andyliu9527/baseline", "kernel_id": "2242767"}, {"ref": "sureshsuri/elo-merchants-data-analysis", "kernel_id": "2645754"}, {"ref": "mithlesh14/elo-merchant-loyality-score", "kernel_id": "2558534"}, {"ref": "darryldias/data-analysis-dd12", "kernel_id": "2256771"}, {"ref": "celestinhermez/elo-data-wrangling-cleaning-kernel-1", "kernel_id": "2651651"}, {"ref": "roydatascience/elo-merchant-recommendation-fathers-day-specials", "kernel_id": "2371060"}, {"ref": "roydatascience/elo-merchant-category-recommendation-lgbm", "kernel_id": "2340735"}, {"ref": "roydatascience/elo-stack-with-goss-boosting", "kernel_id": "2427525"}, {"ref": "roydatascience/recursive-feature-selection-using-sklearn-on-elo", "kernel_id": "2720453"}, {"ref": "roydatascience/combining-your-model-with-a-model-without-outlier", "kernel_id": "2765286"}, {"ref": "jylee4/eda-first", "kernel_id": "2758884"}, {"ref": "juyeong1537/juyeong-merchant-eda", "kernel_id": "2982047"}, {"ref": "waitingli/combining-your-model-with-a-model-without-outlier", "kernel_id": "2398049"}, {"ref": "justk1/elo-elo", "kernel_id": "2261154"}, {"ref": "maonizh/elo-v1", "kernel_id": "2386564"}, {"ref": "shikha130vv/user-loyalty-prediction-understanding-regression", "kernel_id": "2638943"}, {"ref": "christinashin/my-first-feature-engineering-with-merchant-data", "kernel_id": "2994797"}, {"ref": "chandureddyvari/sprinkling-in-some-deep-learning-using-fast-ai", "kernel_id": "2700740"}, {"ref": "tandonarpit6/elo-use-of-featuretools-permutation-importance", "kernel_id": "2231376"}, {"ref": "loftier/elo-merchant-category-recommendation-3-657", "kernel_id": "2505112"}, {"ref": "kalyankkr/elo-recommendation", "kernel_id": "2695466"}, {"ref": "kalyankkr/simple-lightgbm-without-blending", "kernel_id": "2775422"}, {"ref": "kalyankkr/h-elo-viewers", "kernel_id": "2580770"}, {"ref": "flubber/predicting-loyalty-score-xgboost", "kernel_id": "2932070"}, {"ref": "flubber/predicting-loyalty-score-gbm", "kernel_id": "2919543"}, {"ref": "bharathchar/elo-stack-interaction-on-categorical-variables", "kernel_id": "2613017"}, {"ref": "bharathchar/elo-stack-interaction-on-categorical-vari-4ab579", "kernel_id": "2613018"}, {"ref": "haithemmzoughi/dealing-with-outliers-in-purchase-amount", "kernel_id": "2709514"}, {"ref": "haithemmzoughi/new-one", "kernel_id": "2445257"}, {"ref": "theoviel/how-far-can-you-go-using-only-train-test-files", "kernel_id": "2213833"}, {"ref": "kiyo22/fork-of-lightgbm-gbdt-rf-analyst-in-japanese", "kernel_id": "2665175"}, {"ref": "kiyo22/elo-eda-and-models-analyst-in-japanese", "kernel_id": "2323429"}, {"ref": "liamwr17/improving-lb-scores-with-stacking-3-708lb", "kernel_id": "2722350"}, {"ref": "sergejkoenig/target-as-integer-ratio", "kernel_id": "2868603"}, {"ref": "sachin619/elon-merchant-recommendation", "kernel_id": "2748846"}, {"ref": "yonelanuba/elo-merchant-by-yonela", "kernel_id": "2221754"}, {"ref": "floricar/elo-competition-xgbr", "kernel_id": "2275115"}, {"ref": "francomatiasferrari/elo-competition-lgbm", "kernel_id": "2304800"}, {"ref": "jpvalen0/for-beginners-answer-tipical-questions-elo", "kernel_id": "2428424"}, {"ref": "somang1418/basic-eda-with-r", "kernel_id": "2571667"}, {"ref": "adityalahiri/starter-code-rf-3-921-lb", "kernel_id": "2216947"}, {"ref": "caseyworks/open-kimono-r-colonel-4-elo-3-gbm-h2o-3-872", "kernel_id": "2216875"}, {"ref": "lockeza/transaction-types", "kernel_id": "2283308"}, {"ref": "kmedvedev/elo-slow-but-bullet-proof-feature-selection", "kernel_id": "2848398"}, {"ref": "dkmerona/fork-of-embedding-nn-64-feature", "kernel_id": "2341606"}, {"ref": "batalov/making-sense-of-elo-data-eda", "kernel_id": "2217319"}, {"ref": "prabhubhakta/kernel861406477e", "kernel_id": "2270057"}, {"ref": "ashirwadsangwan/data-exploration-elo-loyalty-score-prediction", "kernel_id": "2219937"}, {"ref": "frtgnn/elo-eda-lgbm", "kernel_id": "2213811"}, {"ref": "frtgnn/easy-blend-post-processing", "kernel_id": "2478198"}, {"ref": "fabianoswald/elo-datascience-hrytsiv-asal-peschke", "kernel_id": "2771716"}, {"ref": "jazivxt/the-good-the-bad-and-the", "kernel_id": "2818266"}, {"ref": "mnds18/elo-using-lgbm-and-feature-engineering", "kernel_id": "2823477"}, {"ref": "mnds18/elo-using-lot-of-stuff", "kernel_id": "2860700"}, {"ref": "greenjohn/hello-elo-ensemble-will-help-you", "kernel_id": "2456581"}, {"ref": "yijingsf/feature-engineering", "kernel_id": "2579117"}, {"ref": "yijingsf/feature-selection-importance-index", "kernel_id": "2590956"}, {"ref": "yijingsf/thea1", "kernel_id": "2438251"}, {"ref": "shawngoldw/elo-customer-journey", "kernel_id": "2776748"}, {"ref": "michelnzikou/lrvsrfvsdct-revisited", "kernel_id": "2752418"}, {"ref": "michelnzikou/rnn-elo-merchant", "kernel_id": "2760652"}, {"ref": "michelnzikou/linearregression-tf", "kernel_id": "2820971"}, {"ref": "ronniemiller/bgu-dl-assignmnt2", "kernel_id": "2309738"}, {"ref": "ronniemiller/bgu-dl-assignmnt2-features-extraction", "kernel_id": "2451938"}, {"ref": "ronniemiller/bgu-dl-assignmnt2-competition", "kernel_id": "2404877"}, {"ref": "samaxtech/eda-clean-feng-lgbm-xgboost-stacked-model", "kernel_id": "2238093"}, {"ref": "liewmanchoi/my-first-kernel", "kernel_id": "2420889"}, {"ref": "luischreiter/creating-input-for-the-elo-project-notebook", "kernel_id": "2765534"}, {"ref": "luischreiter/elo-project-final-version", "kernel_id": "2734599"}, {"ref": "efdeel/create-new-dataframe-to-analyze", "kernel_id": "2333948"}, {"ref": "motimoti/motimoti-work-btc2", "kernel_id": "2992080"}, {"ref": "akbarato/run-forest", "kernel_id": "2427526"}, {"ref": "s7anmerk/ee-collective", "kernel_id": "2734980"}, {"ref": "drfvalente/olasd23", "kernel_id": "2593017"}, {"ref": "cookierhkwk/sanghyung-merchants-eda", "kernel_id": "2981495"}, {"ref": "yuetaolv/steps-of-problem-solving-and-data-analysis", "kernel_id": "2536822"}, {"ref": "mamkuzhy74/merge-all-data-sets-to-build-several-features", "kernel_id": "2877468"}, {"ref": "shyamgovind/calculating-loyalty-score", "kernel_id": "2947576"}, {"ref": "asrinivasan16/combining-your-model-with-a-model-without-o-0d991a", "kernel_id": "2613081"}, {"ref": "conheomauxanh1/elo-world-high-score-without-blending", "kernel_id": "2664530"}, {"ref": "batuhanyerinde/data-analysis-for-elo-merchant", "kernel_id": "2741901"}, {"ref": "aleksthegreat/autoencoder-on-feature-pivots", "kernel_id": "3000817"}, {"ref": "morenoh149/cubist-hello-world", "kernel_id": "3250168"}, {"ref": "cpmpml/raddar-magic-explained-a-bit", "kernel_id": "3034508"}, {"ref": "raddar/unobserved-data-simulation-exploiting-target", "kernel_id": "3054551"}, {"ref": "tobiascortese/feature-engineering-xgboost-lgbm-with-r", "kernel_id": "3924004"}, {"ref": "tobiascortese/elo-merchant-category-recommendation", "kernel_id": "3415227"}, {"ref": "vijaikm/simple-exploration-notebook-elo-learn1", "kernel_id": "3463246"}, {"ref": "rgoodman/elo-merchant-no-peeking-v2", "kernel_id": "3016565"}, {"ref": "phithor/elo-world-high-score-without-blending-fork", "kernel_id": "3047445"}, {"ref": "matsun0323/outliers-classfication", "kernel_id": "3053415"}, {"ref": "donkeyrob/my-first-kernel", "kernel_id": "3073969"}, {"ref": "ajithvallabai/lgb-fe-lb-3-707", "kernel_id": "3001548"}, {"ref": "rajeshcv/final-models", "kernel_id": "3062126"}, {"ref": "rajeshcv/customer-loyalty-based-on-rfm-analysis", "kernel_id": "3053261"}, {"ref": "tommycpp/elo-rf", "kernel_id": "3057792"}, {"ref": "mgiraygokirmak/elo-experiments", "kernel_id": "3027633"}, {"ref": "necrospk/top-143-silver-decision-private-lb-3-61108", "kernel_id": "3158401"}, {"ref": "chirag19/elo-merchant-recommendation", "kernel_id": "3019498"}, {"ref": "hiralmshah/reduce-memory-usage-trick-with-elo-merchant-data", "kernel_id": "3109205"}, {"ref": "brendanhasz/elo-feature-engineering-and-feature-selection", "kernel_id": "3461828"}, {"ref": "luoqi21/elo-my-first-notebook", "kernel_id": "3004738"}, {"ref": "gargmo/elo-merchant", "kernel_id": "3077991"}, {"ref": "flubber/predicting-loyalty-score-ensemble", "kernel_id": "3017553"}, {"ref": "pk5097/elo-merchant-category-recommendation", "kernel_id": "3003340"}, {"ref": "optoport/fork-test", "kernel_id": "3100468"}, {"ref": "mittasagar/elo-recommendation", "kernel_id": "3396287"}, {"ref": "amishra027/elo-statiscal-analysis-recommendation-system", "kernel_id": "3044746"}, {"ref": "amishra027/elo-merchant", "kernel_id": "3129591"}, {"ref": "selonsy/elo-selonsy", "kernel_id": "3259637"}, {"ref": "duytan33333/simple-lightgbm-without-blending-94e2ef", "kernel_id": "3002674"}, {"ref": "alfaromeo1979/my-loyalty", "kernel_id": "3056936"}, {"ref": "mihazare/elo-world-xgbregressor", "kernel_id": "3021859"}, {"ref": "akumaldo/elo-world-simple-lgb-model", "kernel_id": "3834032"}, {"ref": "allysonlm/baseline", "kernel_id": "4550698"}, {"ref": "ceci2017/03-elo-groupby", "kernel_id": "4231877"}, {"ref": "ceci2017/03-elo-merge", "kernel_id": "4231128"}, {"ref": "ceci2017/03-elo-merchant", "kernel_id": "4161080"}, {"ref": "brendanhasz/elo-feature-engineering-and-feature-selection-2", "kernel_id": "4383904"}, {"ref": "snowill/text1-second", "kernel_id": "4360618"}, {"ref": "brunairlly/cleaning-data-elo", "kernel_id": "4043687"}, {"ref": "a18974761777/merchant", "kernel_id": "4837622"}, {"ref": "rajashri/elo-merchant", "kernel_id": "5121729"}, {"ref": "shubhamsinghgharsele/analysis-on-indian-import-export", "kernel_id": "5369951"}, {"ref": "wakamezake/lgb-fe-lb-3-707-with-lightgbmtuner", "kernel_id": "6696711"}, {"ref": "eddididi/google-deepfm-w-modification", "kernel_id": "6576415"}, {"ref": "frankygudino/cs4661-finalproject", "kernel_id": "6557429"}, {"ref": "jtrotman/elo-probey-mcprobeface", "kernel_id": "7618617"}, {"ref": "akshayvaru103/rfm-loyalty-cohort-rewardprograms", "kernel_id": "7362836"}, {"ref": "darwinwin/elo-with-h2o-automl", "kernel_id": "8098228"}, {"ref": "darwinwin/simple-baseline-using-automl", "kernel_id": "8131012"}, {"ref": "maffei2443/elo-eda", "kernel_id": "9939340"}, {"ref": "maffei2443/first-elo-submission", "kernel_id": "10003040"}, {"ref": "objectobject/submiss-o-compara-o", "kernel_id": "10263126"}, {"ref": "objectobject/submiss-o-grupo-boosting", "kernel_id": "10171763"}, {"ref": "universalastro/hello-elo", "kernel_id": "11168397"}, {"ref": "roshanm0903/dmbi-final", "kernel_id": "11291649"}, {"ref": "roshanm0903/dmbi-project-roshan", "kernel_id": "11198754"}, {"ref": "shyambhu/oof-xgboost-starter", "kernel_id": "13759422"}, {"ref": "sabchock/elo-merchant-category-recommendation", "kernel_id": "15135797"}, {"ref": "dawool1218/elo-210329-ml-p", "kernel_id": "15740242"}, {"ref": "kundnjha/make-sense-out-of-nonsense-elo-eda", "kernel_id": "16583827"}, {"ref": "olenashumeiko/feature-engineering-xgboost-lgbm-with-r", "kernel_id": "16310309"}, {"ref": "tunguz/elo-deep-automl", "kernel_id": "18278369"}, {"ref": "rsesha/elo-rating-featurewiz-private-lb-3-69", "kernel_id": "18301070"}, {"ref": "rsesha/elo-with-deep-autoviml-dropping-inf-rows", "kernel_id": "18306242"}, {"ref": "rsesha/elo-rating-with-autoviml-lb-score-3-65", "kernel_id": "18301298"}, {"ref": "chanyoungs/elo-merchant-category-recommendation", "kernel_id": "18143232"}, {"ref": "samaujs/elo-eda-ml", "kernel_id": "19927025"}, {"ref": "santoshsusarla/rfm-analysis-third-review-updated", "kernel_id": "22906318"}, {"ref": "santoshsusarla/eda-clean-feng-lgbm-xgboost-stacked-model", "kernel_id": "24556436"}, {"ref": "zhaolingxuan/elo-world", "kernel_id": "24060997"}, {"ref": "smy19990312/elo-linear-regression", "kernel_id": "25371662"}, {"ref": "rsesha/elo-rating-lazytransform-featurewiz-3-77", "kernel_id": "26345009"}, {"ref": "konradb/ts-7-survival-analysis", "kernel_id": "27319884"}, {"ref": "xiaojiu1414/elo-federated-learning-data-etl", "kernel_id": "27281038"}, {"ref": "aditih22/elo-credit-cards-dataset", "kernel_id": "28595782"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "nobodymartin/lightgbm-explanation-practice-with-dataset", "kernel_id": "30786405"}, {"ref": "brucewaynew/elo-xgb", "kernel_id": "32449029"}, {"ref": "brucewaynew/elo-modeling", "kernel_id": "32545458"}, {"ref": "brucewaynew/elo-neural-net-work-torch", "kernel_id": "32546124"}, {"ref": "bananavolumes/notebook6359d8da1f", "kernel_id": "32413411"}, {"ref": "darrylseews/cz4041-machine-learning", "kernel_id": "35228146"}, {"ref": "oongjiexiang/elo-explore-hist-merch", "kernel_id": "35191900"}, {"ref": "zhangerli/combining-your-model-with-a-model-without-outlier", "kernel_id": "37026844"}, {"ref": "sabilarrosad/predictive-maintenance-survival-analysis", "kernel_id": "38751536"}, {"ref": "justinhanj/elo-world", "kernel_id": "43003469"}, {"ref": "yakinoki/wip-note", "kernel_id": "44926073"}, {"ref": "javenhuang2/elo-merchant-category-model-fusion", "kernel_id": "44920228"}, {"ref": "javenhuang2/elo-merchant-category-random-forest", "kernel_id": "44920003"}, {"ref": "slyyyyyyeee/elo-example", "kernel_id": "45115882"}, {"ref": "jojoyin/elo-merchants-recommendation", "kernel_id": "46540738"}, {"ref": "aguangup/eio-mer", "kernel_id": "46702148"}, {"ref": "wesleyrodriguessousa/elo-stack-with-goss-boosting", "kernel_id": "46154646"}, {"ref": "lxy0339/elo-merchants-recommendation", "kernel_id": "56859709"}, {"ref": "jayusyang/feature-engineering2", "kernel_id": "57235275"}, {"ref": "jayusyang/feature-engineering", "kernel_id": "57161236"}, {"ref": "wuyinyin/elo-mining2", "kernel_id": "57184178"}, {"ref": "wuyinyin/elo-v3", "kernel_id": "57239422"}, {"ref": "lxy0339/my-first-kernel", "kernel_id": "57227750"}, {"ref": "lxy0339/lgb-fe-lb-3-707-with-lightgbmtuner", "kernel_id": "57225043"}, {"ref": "lxy0339/make-sense-out-of-nonsense-elo-eda", "kernel_id": "57076021"}, {"ref": "langyingqi/feature-engineering", "kernel_id": "57236710"}, {"ref": "ano12pmo/feature-selection-test", "kernel_id": "60299824"}, {"ref": "hygaokaggle/elo-merchant-category-recommendation-pre-handle1", "kernel_id": "60800923"}, {"ref": "hygaokaggle/elo-merchant-category-recommendation-lgb-wrapper", "kernel_id": "61408186"}, {"ref": "hygaokaggle/elo-merchant-category-recommendation-xgboost", "kernel_id": "61424059"}, {"ref": "hygaokaggle/elo-merchant-category-recommendation-baseline", "kernel_id": "61213829"}, {"ref": "hygaokaggle/elo-merchant-category-recommendation-pre-handle2", "kernel_id": "61213329"}, {"ref": "hygaokaggle/elo-merchant-category-recommendation-stacking", "kernel_id": "61471154"}, {"ref": "greylivingstone/elo-merchant-category-recommendation", "kernel_id": "64959034"}, {"ref": "gendranirwana/competition-kelompok-9", "kernel_id": "67973026"}, {"ref": "eslam3assi/elo-merchant-category-recommendation", "kernel_id": "79398573"}, {"ref": "hazem11/elo-merchant-transactions", "kernel_id": "79429195"}, {"ref": "rukuri/2025aai-ex11a", "kernel_id": "85915441"}, {"ref": "yuukikawai/notebookb878a76696", "kernel_id": "85930062"}, {"ref": "taikikaramushizawa/2025aai-ex10aa008c4a6ff", "kernel_id": "85969069"}, {"ref": "yamauchiyuta0718/2025aai10-exa-24rmd46", "kernel_id": "85951189"}, {"ref": "tsuyoshifukushima/2025aai-ex10a", "kernel_id": "85959921"}, {"ref": "yukino0420/2025aai-ex10a", "kernel_id": "85915960"}, {"ref": "unokoki/notebook14c4ff3841", "kernel_id": "86127638"}, {"ref": "suzukitakumi/2025aai10-exa", "kernel_id": "86030540"}, {"ref": "dotohoi/2025aai-ex10a-2", "kernel_id": "86130737"}, {"ref": "dotohoi/2025aai-ex10a", "kernel_id": "86118305"}, {"ref": "cajiki18/ex10a", "kernel_id": "86114775"}, {"ref": "snd072/2025aai-ex11a", "kernel_id": "86126205"}, {"ref": "komody/2025aai-ex10a", "kernel_id": "86082290"}, {"ref": "duckduckshiba/2025aai-ex10a92c3d69f7b-1", "kernel_id": "86131841"}, {"ref": "seowataru/kadai-10", "kernel_id": "86096604"}, {"ref": "koyatamari/ex10a", "kernel_id": "86055550"}, {"ref": "ssssmd/notebook936fdeb4dd", "kernel_id": "86080014"}, {"ref": "kitaaa1223/notebook4916f17022", "kernel_id": "86107275"}, {"ref": "kanta12343/notebook39435a800c", "kernel_id": "86024688"}, {"ref": "wangyifei9988/notebook2cd27aa50d", "kernel_id": "86075365"}, {"ref": "wangyifei9988/notebooka04e083490", "kernel_id": "86113932"}, {"ref": "akamaruuuussssss2/notebook660a6f589a", "kernel_id": "86123902"}, {"ref": "masato0207/2025aai-ex10a", "kernel_id": "86129888"}, {"ref": "reijikato/2025aai-ex10a", "kernel_id": "86093866"}, {"ref": "sokita4/25rmd08-2025aai-ex10", "kernel_id": "86005897"}, {"ref": "nakazawayuuto/ex10a-10-25rmd44", "kernel_id": "86005038"}, {"ref": "ktaimp/ex10a", "kernel_id": "86115908"}, {"ref": "yusaku86/ex10a1", "kernel_id": "86103147"}, {"ref": "deriki/xgeeeboostkadai", "kernel_id": "86100882"}, {"ref": "yanaseyukio/ex10a-question10", "kernel_id": "86079896"}, {"ref": "ryoyaguchi/kadai-10a-2", "kernel_id": "86103152"}, {"ref": "bszdbszd/elo-world", "kernel_id": "97641918"}, {"ref": "sharkddd/improve", "kernel_id": "101819389"}, {"ref": "sharkddd/fork-of-improve-relay", "kernel_id": "102527087"}, {"ref": "sharkddd/fork-of-improve", "kernel_id": "102358434"}, {"ref": "wxyaaaa/fork-of-improve", "kernel_id": "102438912"}, {"ref": "suedakazan/from-rfm-to-predictive-cltv-a-probabilistic-crm", "kernel_id": "106722887"}, {"ref": "igorvorobev7892/notebook4af470b9fe", "kernel_id": "110618658"}, {"ref": "t8101349/elo-merchant-category-recommendation-stack", "kernel_id": "111235847"}]}
{"competition_id": "10454", "kernels": []}
{"competition_id": "10456", "kernels": []}
{"competition_id": "10474", "kernels": []}
{"competition_id": "10475", "kernels": []}
{"competition_id": "10480", "kernels": []}
{"competition_id": "10483", "kernels": []}
{"competition_id": "10485", "kernels": []}
{"competition_id": "10493", "kernels": []}
{"competition_id": "10507", "kernels": [{"ref": "dshahid380/fake-note-prediction", "kernel_id": "1549057"}]}
{"competition_id": "10518", "kernels": [{"ref": "tapanpatro/used-car-valuation", "kernel_id": "2007194"}]}
{"competition_id": "10519", "kernels": []}
{"competition_id": "10523", "kernels": []}
{"competition_id": "10530", "kernels": []}
{"competition_id": "10538", "kernels": []}
{"competition_id": "10540", "kernels": []}
{"competition_id": "10541", "kernels": []}
{"competition_id": "10546", "kernels": []}
{"competition_id": "10547", "kernels": []}
{"competition_id": "10568", "kernels": []}
{"competition_id": "10582", "kernels": []}
{"competition_id": "10588", "kernels": []}
{"competition_id": "10592", "kernels": []}
{"competition_id": "10599", "kernels": [{"ref": "kevenfc/bbva-recommender-system-fc-01", "kernel_id": "1822495"}, {"ref": "caivosco/matrix-factorization", "kernel_id": "1754556"}, {"ref": "caivosco/comparando-redes-neuronales-con-xgboost", "kernel_id": "1739476"}, {"ref": "amcoronado/bbva-analisis-y-modelo-preliminar-lb-0-04012", "kernel_id": "1615690"}]}
{"competition_id": "10604", "kernels": []}
{"competition_id": "10609", "kernels": [{"ref": "yitaoran/kernel48ae8ccab1", "kernel_id": "7990320"}]}
{"competition_id": "10610", "kernels": []}
{"competition_id": "10622", "kernels": []}
{"competition_id": "10625", "kernels": []}
{"competition_id": "10626", "kernels": []}
{"competition_id": "10633", "kernels": []}
{"competition_id": "10648", "kernels": []}
{"competition_id": "10675", "kernels": [{"ref": "odezi45/credit-card-fraud-detection-svc-adaboost-rf-knn", "kernel_id": "10401935"}]}
{"competition_id": "10683", "kernels": [{"ref": "konradb/shrinking-the-data", "kernel_id": "2377980"}, {"ref": "montecripto/conditional-categorical-encoder", "kernel_id": "2742255"}, {"ref": "kailex/ms-malware-starter", "kernel_id": "2373315"}, {"ref": "fairsky/baseline-lb-0-676", "kernel_id": "2400140"}, {"ref": "kashnitsky/training-while-reading-vowpal-wabbit-starter", "kernel_id": "2533734"}, {"ref": "sujans/malware-detections", "kernel_id": "2477205"}, {"ref": "singhishan/eda-detecting-malware", "kernel_id": "2381542"}, {"ref": "lukaszbk/formatting-numbers-in-pandas-dfs-1234-vs-1-234", "kernel_id": "2717238"}, {"ref": "saurabh502/why-no-blend", "kernel_id": "2465860"}, {"ref": "scirpus/versions-as-numbers", "kernel_id": "2435897"}, {"ref": "scirpus/microsoft-libffm-munger", "kernel_id": "2414486"}, {"ref": "prachi/microsoft-malware-detections", "kernel_id": "2497339"}, {"ref": "cttsai/fork-detecting-malwares-with-ftrl-proximal", "kernel_id": "2692938"}, {"ref": "cttsai/ensemble-of-lightgbm-on-different-distributions", "kernel_id": "2379947"}, {"ref": "cttsai/forked-lightgbm-msft-malware-predictor", "kernel_id": "2373776"}, {"ref": "gangadher/load-the-data-with-dask-faster-than-pandas", "kernel_id": "2966699"}, {"ref": "pedromb/read-data-faster-and-query-from-disk-with-hdf5", "kernel_id": "2728326"}, {"ref": "rishiyadav/ms-malware-prediction-v1-0", "kernel_id": "2444948"}, {"ref": "sionek/speed-of-data-table", "kernel_id": "2691485"}, {"ref": "sionek/ordering-version-variables", "kernel_id": "2669387"}, {"ref": "mytymohan/dask-magic-wand-to-load-large-datasets", "kernel_id": "2594172"}, {"ref": "captcalculator/lightgbm", "kernel_id": "2447217"}, {"ref": "daletskidenis/interactive-data-cleaning-and-preprocessing", "kernel_id": "2553981"}, {"ref": "daletskidenis/data-conversion-to-speedup-future-imports", "kernel_id": "2577559"}, {"ref": "daletskidenis/eda-1-cat-features-conditional-distribution", "kernel_id": "2569316"}, {"ref": "delayedkarma/lazy-feature-engg-lightgbm", "kernel_id": "2372388"}, {"ref": "delayedkarma/exploring-the-non-numeric-features", "kernel_id": "2373760"}, {"ref": "delayedkarma/the-story-so-far-lb-0-673", "kernel_id": "2376478"}, {"ref": "delayedkarma/simple-catboost-starter", "kernel_id": "2395771"}, {"ref": "delayedkarma/impact-of-the-true-false-numerical-features", "kernel_id": "2408030"}, {"ref": "delayedkarma/let-s-add-some-new-features-lb-0-674", "kernel_id": "2420153"}, {"ref": "tunguz/eda-with-python-datatable", "kernel_id": "2618211"}, {"ref": "tunguz/ms-malware-adversarial-validation", "kernel_id": "2558519"}, {"ref": "tunguz/malware-feature-engineering-full-train-and-test", "kernel_id": "2445354"}, {"ref": "tunguz/ms-melware-with-h2o-automl", "kernel_id": "2417449"}, {"ref": "tunguz/malware-feature-engineering-only", "kernel_id": "2435483"}, {"ref": "mhwong2007/exploratory-data-analysis", "kernel_id": "2478234"}, {"ref": "mburum/digit-recognition", "kernel_id": "2586662"}, {"ref": "aerdem4/lofo-importance", "kernel_id": "2827516"}, {"ref": "laleh83/microsoft-malware-predicion-eda", "kernel_id": "2560669"}, {"ref": "its7171/avsigversion-analisys", "kernel_id": "2434131"}, {"ref": "airbourne/data-dictionary", "kernel_id": "2512037"}, {"ref": "timon88/load-whole-data-without-any-dtypes", "kernel_id": "2412590"}, {"ref": "rambabusure/malware-prediction-eda-detailed", "kernel_id": "2596233"}, {"ref": "kalyanrdy/a-z-of-microsoft-malware-prediction-inprogress", "kernel_id": "2372158"}, {"ref": "prabanch/microsoft-malware-prediction", "kernel_id": "2411277"}, {"ref": "artgor/is-this-malware-eda-fe-and-lgb-updated", "kernel_id": "2372003"}, {"ref": "harmeggels/random-forest-feature-importances", "kernel_id": "2389354"}, {"ref": "pranav84/malware-classifier-r-lightgbm-pipeline", "kernel_id": "2376511"}, {"ref": "sametmarasli/nn-cat-embeddings-pytorch-starter-lb-0-656", "kernel_id": "2529091"}, {"ref": "liebycardoso/microsoft-malware-prediction", "kernel_id": "2491439"}, {"ref": "hrmello/eda-most-correlated-variables-to-the-target", "kernel_id": "2372648"}, {"ref": "kjeanclaude/end-to-end-lgbm-microsoft-malware-prediction", "kernel_id": "2408301"}, {"ref": "mks2192/fork-of-microsoft-malware-eda2", "kernel_id": "2515560"}, {"ref": "esmaeil391/script-lgb-v1", "kernel_id": "2877454"}, {"ref": "mutatos/ms-malware-fastest-load-of-full-datasets", "kernel_id": "2651839"}, {"ref": "fabiendaniel/detecting-malwares-with-lgbm", "kernel_id": "2372386"}, {"ref": "adityaecdrid/simple-feature-engineering-xd", "kernel_id": "2411223"}, {"ref": "adityaecdrid/public-version-embeddings-keras", "kernel_id": "2835229"}, {"ref": "fayzur/detecting-malwares-with-ftrl-proximal", "kernel_id": "2436237"}, {"ref": "shrutimechlearn/large-data-loading-trick-with-ms-malware-data", "kernel_id": "2393128"}, {"ref": "shrutimechlearn/ms-malware-data-dictionary-and-basic-eda-results", "kernel_id": "2521145"}, {"ref": "nikolay9/detecting-malwares-with-lgbm", "kernel_id": "2803002"}, {"ref": "ashishpatel26/ensemble-learning-for-beginner-to-advance", "kernel_id": "2484600"}, {"ref": "ashishpatel26/how-to-handle-this-big-dataset-dask-vs-pandas", "kernel_id": "2394938"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "ashishpatel26/two-style-of-blending-and-double-blend", "kernel_id": "2493201"}, {"ref": "ashishpatel26/h2o-stacking-for-microsoft-malware-prediction", "kernel_id": "2379176"}, {"ref": "ashishpatel26/advance-pandas-tricks-and-techniques", "kernel_id": "2326628"}, {"ref": "nicapotato/eda-malware-in-malware-out", "kernel_id": "2377597"}, {"ref": "rquintino/save-hdf-full", "kernel_id": "2488459"}, {"ref": "rquintino/lightgbm-hyper-param-search-with-early-stop", "kernel_id": "2498923"}, {"ref": "rquintino/classification-auc-per-feature", "kernel_id": "2533634"}, {"ref": "rquintino/minimal-pipeline-lightgbm-shapley", "kernel_id": "2409642"}, {"ref": "rquintino/2-months-train-1-month-public-1-day-private", "kernel_id": "2902953"}, {"ref": "rquintino/unstable-features-cv-score-vs-time-split-score", "kernel_id": "2986385"}, {"ref": "rquintino/classification-auc-per-single-feature-time-split", "kernel_id": "2986226"}, {"ref": "robroseknows/fetch-google-safe-browsing-transparency-report", "kernel_id": "2928951"}, {"ref": "prashanththangavel/eliminate-malware-features", "kernel_id": "2495783"}, {"ref": "codealist/dtypes-in-pickle", "kernel_id": "2378184"}, {"ref": "codealist/micro-eda", "kernel_id": "2374512"}, {"ref": "tatianass/microsoft-malware-prediction-eda-with-tableau", "kernel_id": "2693501"}, {"ref": "raulml1981/mmp-01-an-lisis-exploratorio", "kernel_id": "2938682"}, {"ref": "guoday/nffm-baseline-0-690-on-lb", "kernel_id": "2862341"}, {"ref": "guoday/xdeepfm-baseline", "kernel_id": "2893111"}, {"ref": "yscyang1/microsoft-malware-1-loading-a-large-data-set", "kernel_id": "2439052"}, {"ref": "neeraj22ny/feature-importance-using-lofo", "kernel_id": "2847327"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "rsmits/bayesian-optimization-for-lightgbm-parameters", "kernel_id": "2659760"}, {"ref": "sasjurse/the-strange-behavior-of-avsigversion", "kernel_id": "2444601"}, {"ref": "datark1/malware-prediction-eda", "kernel_id": "2372002"}, {"ref": "youhanlee/my-eda-i-want-to-see-all", "kernel_id": "2381226"}, {"ref": "shaz13/excelsior-microsoft-malware-eda-baseline", "kernel_id": "2381185"}, {"ref": "rajasekhar6057/eda-for-microsoft-malware-prediction", "kernel_id": "2713329"}, {"ref": "dimitreoliveira/malware-detection-eda-and-lgbm", "kernel_id": "2686745"}, {"ref": "dimitreoliveira/malware-detection-extended-eda", "kernel_id": "2899523"}, {"ref": "mastergogo/detecting-malwares-with-lgbm", "kernel_id": "2825867"}, {"ref": "jackt153/categorical-data-exploration", "kernel_id": "2744324"}, {"ref": "docxian/create-training-subset-and-save-to-file", "kernel_id": "2372785"}, {"ref": "hozler/outlier-detection-and-removal", "kernel_id": "2290428"}, {"ref": "lastart1500/simple-neural-network-by-pytorch", "kernel_id": "2661927"}, {"ref": "lastart1500/simple-script-for-submission-blending", "kernel_id": "2538144"}, {"ref": "rnreich/recursive-symmetric-adversarial-ensemble-unsafe", "kernel_id": "2498027"}, {"ref": "sarvajna/model-insights-perm-imp-partial-plots-shap", "kernel_id": "2522438"}, {"ref": "guntherthepenguin/fastai-deep-learning-with-embeddings", "kernel_id": "2749091"}, {"ref": "sarmat/fast-encoding-baseline-edited", "kernel_id": "2904740"}, {"ref": "econdata/lightgbm", "kernel_id": "2762354"}, {"ref": "jsaguiar/eda-initial-exploration-and-baseline", "kernel_id": "2374600"}, {"ref": "jsaguiar/load-data-fast-hdf-and-pickle", "kernel_id": "2390436"}, {"ref": "sushmitapandit184/microsoft-malware-prediction-eda", "kernel_id": "2712308"}, {"ref": "chocozzz/simple-data-exploration-by-python", "kernel_id": "2373682"}, {"ref": "nroman/features-correlations", "kernel_id": "2733077"}, {"ref": "nroman/hacking-osbuildlab-feature-updated", "kernel_id": "2665770"}, {"ref": "nroman/engineering-display-features", "kernel_id": "2459929"}, {"ref": "alialhumaid/my-eda-and-features", "kernel_id": "2389743"}, {"ref": "cdeotte/neural-network-malware-0-67", "kernel_id": "2773440"}, {"ref": "cdeotte/time-series-eda-malware-0-64", "kernel_id": "2659070"}, {"ref": "cdeotte/time-split-validation-malware-0-68", "kernel_id": "2950092"}, {"ref": "sjb1988/lgb-python-basic-features-only", "kernel_id": "2677644"}, {"ref": "sumit29/kernel2fa41d8107", "kernel_id": "2948078"}, {"ref": "mattemyo/tips-for-large-datasets", "kernel_id": "2506434"}, {"ref": "aantonova/some-new-risk-and-clusters-features", "kernel_id": "2744193"}, {"ref": "hung96ad/new-blend", "kernel_id": "2495435"}, {"ref": "hung96ad/lightgbm", "kernel_id": "2450488"}, {"ref": "roydatascience/light-gbm-on-stratified-k-folds-malwares", "kernel_id": "2475260"}, {"ref": "roydatascience/microsoft-malware-solution-silver-medal", "kernel_id": "2476641"}, {"ref": "karanjakhar/malware-detection", "kernel_id": "2658561"}, {"ref": "pradeepy2konline1/kernel87a9f618fe", "kernel_id": "2434389"}, {"ref": "tmunyanyi22/microsoft-prediction-data-exploration-part-2", "kernel_id": "2492677"}, {"ref": "tmunyanyi22/microsoft-prediction-data-exploration-part-1", "kernel_id": "2420063"}, {"ref": "socrateskouv/microsoft-malware-prediction-data-wrangling", "kernel_id": "2736421"}, {"ref": "theoviel/load-the-totality-of-the-data", "kernel_id": "2372827"}, {"ref": "theoviel/complete-eda", "kernel_id": "2372418"}, {"ref": "dhiru29/kernel7bb1aec996", "kernel_id": "2473853"}, {"ref": "itamargr/prepare-data-for-decision-trees-algorithms", "kernel_id": "2715063"}, {"ref": "itamargr/random-forest-learn", "kernel_id": "2766758"}, {"ref": "itamargr/decision-tree-learning", "kernel_id": "2587329"}, {"ref": "itamargr/simple-columns-removal", "kernel_id": "2428146"}, {"ref": "itamargr/lightgbm", "kernel_id": "2903119"}, {"ref": "itamargr/adaboost-learn-with-random-forest", "kernel_id": "2897079"}, {"ref": "vishalbajaj2000/basic-tabular-test-train-compare", "kernel_id": "2794589"}, {"ref": "howlingwolfs1989/malware-competition-visualization", "kernel_id": "2720180"}, {"ref": "ruijiezheng2022/one-layer-lstm", "kernel_id": "2731049"}, {"ref": "zombiecleansdata/microsoft-malware", "kernel_id": "2555179"}, {"ref": "sooperdooper/microsoft", "kernel_id": "2403020"}, {"ref": "nikkisharma536/malware", "kernel_id": "2392863"}, {"ref": "nikkisharma536/beginning-challenge", "kernel_id": "2375612"}, {"ref": "xhlulu/load-entire-dataset-with-7-gb-ram-fork", "kernel_id": "2375020"}, {"ref": "jazivxt/fun-with-ms-dataset", "kernel_id": "2561339"}, {"ref": "jonathan97/yihong-s-solution", "kernel_id": "2776004"}, {"ref": "andrelue/hello-msft-malware-prediction", "kernel_id": "2375308"}, {"ref": "wjburns/eda-most-correlated-variables-to-the-target", "kernel_id": "2482235"}, {"ref": "wjburns/minimal-deep-q-network", "kernel_id": "2410663"}, {"ref": "wjburns/64-channel-binary-mlp-malware-detection", "kernel_id": "2494140"}, {"ref": "redfoongus/lightgbm-test", "kernel_id": "2931549"}, {"ref": "vonkorff/jvk-ms-malware-fit", "kernel_id": "2883404"}, {"ref": "gpucloud/microsoft", "kernel_id": "2934661"}, {"ref": "gpucloud/ensmbl2", "kernel_id": "2967746"}, {"ref": "jiegeng94/everyone-do-this-at-the-beginning", "kernel_id": "2988598"}, {"ref": "tonyder/helloworld", "kernel_id": "2818279"}, {"ref": "tonyder/helloworld1", "kernel_id": "2948539"}, {"ref": "bgeier/word2vec-keras-ltsm-capsule-try", "kernel_id": "3134534"}, {"ref": "davidkrisiloff/a-basic-model", "kernel_id": "3156209"}, {"ref": "praxitelisk/microsoft-malware-detection-xgboost-blends", "kernel_id": "3246401"}, {"ref": "praxitelisk/microsoft-malware-detection-eda-xgboost", "kernel_id": "3097478"}, {"ref": "praxitelisk/microsoft-malware-detection-xgboost-tuning", "kernel_id": "3297880"}, {"ref": "wrosinski/on-the-dates-of-public-private-test", "kernel_id": "3008023"}, {"ref": "arjunbhasin2013/detecting-malwares-with-lgbm", "kernel_id": "3841822"}, {"ref": "sheriytm/missed-gold-medal-private-lb-0-736", "kernel_id": "3257344"}, {"ref": "sheriytm/msft-malware-fm-starter", "kernel_id": "3011977"}, {"ref": "tatianass/malware-prediction-adversarial-validation", "kernel_id": "3154666"}, {"ref": "benjibb/self-normalizing-network", "kernel_id": "3160792"}, {"ref": "pepe93/8th-place-microsoft-malware-prediction-challenge", "kernel_id": "3939961"}, {"ref": "abhyudit/kernel37e216f2c7", "kernel_id": "3217361"}, {"ref": "rsmits/logistic-regression-with-sparse-matrix", "kernel_id": "3051366"}, {"ref": "ajithvallabai/microsoft-malware-prediction", "kernel_id": "3039301"}, {"ref": "rahullalu/microsoft-malware-prediction-baseline", "kernel_id": "3074105"}, {"ref": "rahullalu/microsoft-malware-prediction-featureselection", "kernel_id": "3078714"}, {"ref": "rintaromasuda/random-forest-with-basic-feature-eng", "kernel_id": "3229706"}, {"ref": "rintaromasuda/logistic-regression-with-basic-feature-engineering", "kernel_id": "3171969"}, {"ref": "apurvasinha2003/malware-detection-and-feature-selection", "kernel_id": "3079194"}, {"ref": "nroman/2nd-level-features-interaction", "kernel_id": "3064920"}, {"ref": "truocpham/lightgbm-baseline-2", "kernel_id": "3134002"}, {"ref": "cdeotte/embeddings-network-malware-0-697-0-773", "kernel_id": "3240482"}, {"ref": "cdeotte/external-data-malware-0-50", "kernel_id": "3109383"}, {"ref": "cdeotte/private-leaderboard-0-750", "kernel_id": "3249160"}, {"ref": "cdeotte/high-scoring-lgbm-malware-0-702-0-775", "kernel_id": "3336315"}, {"ref": "rudywilliams/s1-dropnancolumnslist", "kernel_id": "3697638"}, {"ref": "rudywilliams/s2-dfnancolumnsdropped", "kernel_id": "3697670"}, {"ref": "akhileshrai003/nffm-model-for-microsoft-malware-prediction", "kernel_id": "3198719"}, {"ref": "teeyee314/monthly-feature", "kernel_id": "3257249"}, {"ref": "roydatascience/santander-transaction-stacking-1-0", "kernel_id": "3280853"}, {"ref": "roydatascience/malware-detection-stacking-2-0", "kernel_id": "3212879"}, {"ref": "bejeweled/blending-0-697", "kernel_id": "3166750"}, {"ref": "siddhrath/kernel1f85309d27", "kernel_id": "3135403"}, {"ref": "flubber/microsoft-malware-vulnerability-final-prediction", "kernel_id": "3136031"}, {"ref": "flubber/microsoft-malware-prediction-preprocessing-train", "kernel_id": "3104439"}, {"ref": "flubber/microsoft-malware-prediction-preprocessing-test", "kernel_id": "3112055"}, {"ref": "flubber/microsoft-malware-vulnerability-prediction", "kernel_id": "3112509"}, {"ref": "nitishkulkarni1006/malware-prediction-model", "kernel_id": "3777736"}, {"ref": "itamargr/lightgbm-full-data", "kernel_id": "3150367"}, {"ref": "itamargr/adaboost-of-lightgbm", "kernel_id": "3157863"}, {"ref": "cloud1998/yunhao-s-solution", "kernel_id": "3638977"}, {"ref": "sunnysinghnitb/microsoft-malware-prediction", "kernel_id": "3715981"}, {"ref": "daviddubos/fr-microsoft-malware-prediction", "kernel_id": "3524094"}, {"ref": "redfoongus/microsoft-v10", "kernel_id": "3058606"}, {"ref": "ojashreebhandare/malware-prediction-classifier", "kernel_id": "3759800"}, {"ref": "vonkorff/jv-ms-malware-predict", "kernel_id": "3200277"}, {"ref": "ilu000/private-leaderboard-0-775", "kernel_id": "3252387"}, {"ref": "ilu000/lightgbm-shift-time-av-0-660-private", "kernel_id": "3252084"}, {"ref": "jiashisong/lightgbm-baseline-model-using-sparse-matrix", "kernel_id": "3014389"}, {"ref": "subhamsharma96/malware-prediction-eda-fe-lightgbm", "kernel_id": "3156250"}, {"ref": "sanderf/7th-place-solution-microsoft-malware-prediction", "kernel_id": "3320920"}, {"ref": "q437164221/kernel8c2d763c85", "kernel_id": "3475921"}, {"ref": "stanislavblinov/my-first-public-kernel-yet-another-lgbm", "kernel_id": "3178996"}, {"ref": "setseedhaha/begining", "kernel_id": "3666123"}, {"ref": "bilal3160/malware-prediction-eda", "kernel_id": "4795927"}, {"ref": "muchang/malware-lightgbm", "kernel_id": "4335041"}, {"ref": "wyhandxixi/mal-dete", "kernel_id": "5900994"}, {"ref": "anmoldvpr/malwares-analysis-through-bar-graphs", "kernel_id": "5099221"}, {"ref": "terminate9298/microsoft-malware-predictions", "kernel_id": "5276110"}, {"ref": "ibrahimborba/tera-bootcamp-hackathon-lgbm-and-categories", "kernel_id": "5556487"}, {"ref": "aseem7570/kernel776e88048f", "kernel_id": "5230943"}, {"ref": "ajaysh/microsoft-malware-detection", "kernel_id": "6179950"}, {"ref": "srishti280992/windows", "kernel_id": "6729143"}, {"ref": "srishti280992/windows-2", "kernel_id": "6978156"}, {"ref": "ravijoe/microsoft-malware-prediction-using-lightgbm", "kernel_id": "6476489"}, {"ref": "rx74tsns/easy-lightgbm", "kernel_id": "6392147"}, {"ref": "fahjan/microsoft-maleware-prediction", "kernel_id": "6054059"}, {"ref": "pierrefaure/kernel7ce4101e5d", "kernel_id": "6066979"}, {"ref": "vhrbhakta/cs4661-malware-detection", "kernel_id": "6483550"}, {"ref": "syscore1/detectar-malware", "kernel_id": "6236480"}, {"ref": "danofer/time-series-eda-malware-0-64", "kernel_id": "7672283"}, {"ref": "danofer/ms-malware-feature-selection", "kernel_id": "7672319"}, {"ref": "jweissenberger/kernel625d141225", "kernel_id": "7035723"}, {"ref": "harishvutukuri/microsoft-mp-vowpal-wabbit", "kernel_id": "7235032"}, {"ref": "levgedu/is-this-malware-eda-fe-and-lgb-updated", "kernel_id": "7493342"}, {"ref": "levgedu/detecting-malwares-with-lgbm", "kernel_id": "7522192"}, {"ref": "happycloud/sql-bigquery-malewarepred", "kernel_id": "7917588"}, {"ref": "omriso/detecting-malwares-with-lgbm-d458f4", "kernel_id": "7734548"}, {"ref": "gilade/detecting-malwares-with-lgbm-d458f4", "kernel_id": "7897951"}, {"ref": "fadycopty/feature-selection-using-et-importance-vector", "kernel_id": "8074797"}, {"ref": "udi256/neural-network-malware-0-67", "kernel_id": "8235233"}, {"ref": "dmitrijstrizna/lightgbm-malware-prediction", "kernel_id": "8494445"}, {"ref": "wangqiyuan/ms-melware-with-h2o-automl", "kernel_id": "8142381"}, {"ref": "suchalchoubey/nffm-v4", "kernel_id": "8157018"}, {"ref": "nadiasalmi/salmi-nadia", "kernel_id": "9032529"}, {"ref": "haotianan/malware-prediction-embeddings-model-1", "kernel_id": "9134197"}, {"ref": "danielbociat/randomforest", "kernel_id": "9846897"}, {"ref": "danielbociat/microsoftmalwarefeatureeng", "kernel_id": "9841561"}, {"ref": "toulikdas/lightgbm-baseline-model-using-sparse-matrix", "kernel_id": "9835340"}, {"ref": "coljamkop/kernel7ec365374d", "kernel_id": "10971861"}, {"ref": "abdalazez/microsoft-malware-prediction", "kernel_id": "10908647"}, {"ref": "ahmedmurad1990/missed-gold-medal-private-lb-0-736", "kernel_id": "10890396"}, {"ref": "ahmedmurad1990/microsoft-malware-prediction", "kernel_id": "10890671"}, {"ref": "matthewdeboer/matt-solution-1", "kernel_id": "10975038"}, {"ref": "shravankumar5/18bce2413-detecting-malwares-with-lgbm", "kernel_id": "10982540"}, {"ref": "rajacsp/dask-vs-pandas-on-reading-the-big-dataset", "kernel_id": "11977094"}, {"ref": "kvik007/microsoft-malware-detection", "kernel_id": "11912609"}, {"ref": "rajaraman6195/detecting-poisonous-attack", "kernel_id": "11787529"}, {"ref": "vernondsouza123/malware-detection-eda", "kernel_id": "11551437"}, {"ref": "muhammadyakub/using-lightgbm", "kernel_id": "11452400"}, {"ref": "chandrimad31/malware-prediction-using-dask-for-handling-bigdata", "kernel_id": "11447230"}, {"ref": "amritanshisaxena/detecting-malwares-with-lgbm-233564", "kernel_id": "11068575"}, {"ref": "johntiger1/dl2-tutorial-eda-baseline", "kernel_id": "12923995"}, {"ref": "johntiger1/dl2-tutorial-lgbm-baseline", "kernel_id": "12924967"}, {"ref": "rahul845/neural-network-malware-0-67", "kernel_id": "12638097"}, {"ref": "jejen3180/microsoft-malware-detection-eda-xgboost", "kernel_id": "12465926"}, {"ref": "roshanvarghese/embeddings-network-malware-0-697-0-773", "kernel_id": "12008972"}, {"ref": "maqsoodmahmud/max-microsoft-data-malware-detection", "kernel_id": "13005612"}, {"ref": "hmtahir/ai-project-7th", "kernel_id": "13224746"}, {"ref": "emiliosolermuoz/microsoft-malware-second-approach", "kernel_id": "13737089"}, {"ref": "mattmccoy/ec524-class-project", "kernel_id": "15198717"}, {"ref": "mattmccoy/final-ec524-class-project-rf-and-boost", "kernel_id": "15435096"}, {"ref": "mattmccoy/final-project-j-decision-tree-c1779f", "kernel_id": "15353653"}, {"ref": "mattmccoy/final-project-j-decision-tree", "kernel_id": "15353569"}, {"ref": "jonathanely/final-project-j-logistic-regression", "kernel_id": "15353870"}, {"ref": "jonathanely/final-project-j-decision-tree", "kernel_id": "15352663"}, {"ref": "bhargavrko619/subnote", "kernel_id": "17638476"}, {"ref": "zakariaezzahed/pytorch-malware", "kernel_id": "20478407"}, {"ref": "rishav142k/malware-prediction", "kernel_id": "21653127"}, {"ref": "faridsharaf/microsoft-malware-detection-lgbm-model", "kernel_id": "21057780"}, {"ref": "ricardotombesimacedo/predi-o-de-malware", "kernel_id": "21718596"}, {"ref": "talitaof/icdac-detec-o-de-malwares-estudo-de-caso-1", "kernel_id": "24688076"}, {"ref": "violintiger/is-this-malware-eda-fe-and-lgb-updated", "kernel_id": "25658832"}, {"ref": "aviaayano/notebook5feb4022d6", "kernel_id": "25872531"}, {"ref": "dhilluno/machinelearning-contest", "kernel_id": "25755929"}, {"ref": "kalebmball/contest-1", "kernel_id": "25611492"}, {"ref": "ramiabuagolah/malware-prediction-using-dask-for-handling-bigdata", "kernel_id": "26844650"}, {"ref": "lucasgsalves/prediction-malware", "kernel_id": "26678095"}, {"ref": "dskswu/malware-classification", "kernel_id": "27968510"}, {"ref": "ashwinm500/msft-malware-final", "kernel_id": "27144277"}, {"ref": "shubhamkathiriya/hyper-parameter-tunning-of-lgbm", "kernel_id": "27693256"}, {"ref": "shubhamkathiriya/cve-analyzer", "kernel_id": "29630113"}, {"ref": "anubhavde/malware-prediction", "kernel_id": "29238258"}, {"ref": "rakgyunim/icu-prediction-with-logistic-and-lgbm-kor", "kernel_id": "30683041"}, {"ref": "furkannakdagg/adversarial-validation-nedir-nas-l-kullan-l-r", "kernel_id": "31333533"}, {"ref": "junikki/ml-project-phase-2", "kernel_id": "31610081"}, {"ref": "jivanshisharma/microsoft-malware-prediction", "kernel_id": "32535630"}, {"ref": "bluepe/cnn-cross", "kernel_id": "33287543"}, {"ref": "bluepe/cnn-param", "kernel_id": "33294790"}, {"ref": "bluepe/cnn-manual", "kernel_id": "33298819"}, {"ref": "bluepe/cnn-try", "kernel_id": "33302209"}, {"ref": "bluepe/cnn-microsoft2", "kernel_id": "33238257"}, {"ref": "bluepe/cnn-kfold", "kernel_id": "33266572"}, {"ref": "bluepe/eda-correlation-coefficient", "kernel_id": "33172882"}, {"ref": "bluepe/microsoft-test", "kernel_id": "33181557"}, {"ref": "bluepe/collect-feature", "kernel_id": "33210572"}, {"ref": "bluepe/eda-hasdetection", "kernel_id": "33193229"}, {"ref": "portgasdroger/lightgbm-baseline-model-using-sparse-matrix", "kernel_id": "33685120"}, {"ref": "maryiaznak/malware-prediction-keras-embedding", "kernel_id": "36470426"}, {"ref": "maryiaznak/eda-chi-square-test-logreg", "kernel_id": "36635894"}, {"ref": "amitabhpriyadarshi/microsoft-malware-prediction", "kernel_id": "38285653"}, {"ref": "anantpandey29/grid-searchcv-on-light-gradient-boosting-model", "kernel_id": "38833447"}, {"ref": "maryiaznak/malware-prediction-gridsearchcv-lgbm", "kernel_id": "38069268"}, {"ref": "deera25555/chi-square-lgbm", "kernel_id": "40136853"}, {"ref": "r11945061nly/malware-prediction-keras-embedding", "kernel_id": "40063706"}, {"ref": "vishalsingh55/airline-review", "kernel_id": "41504982"}, {"ref": "deera25555/control-lgbm", "kernel_id": "41928418"}, {"ref": "deera25555/jmim-lgbm", "kernel_id": "41928208"}, {"ref": "piyushmohapatra/is-this-malware-eda-fe-and-lgb-updated", "kernel_id": "44310276"}, {"ref": "iamownt/high-scoring-lgbm-malware-0-702-0-775", "kernel_id": "48463285"}, {"ref": "kuriaw/microsoft-malware-prediction", "kernel_id": "53410197"}, {"ref": "faizanahmed007/microsoft-malware-detection-eda-xgboost", "kernel_id": "54208324"}, {"ref": "subhangidhasmana/malware-classification", "kernel_id": "55913471"}, {"ref": "csmohamedayman/ml-catg-microsoft-malware-prediction", "kernel_id": "57183659"}, {"ref": "carlonsk/eda-model-roc", "kernel_id": "61981213"}, {"ref": "suvroo/automl-and-autoeda-using-h20-tpot-and-more", "kernel_id": "61835483"}, {"ref": "mostafa3apre7em/my-version", "kernel_id": "64305226"}, {"ref": "krrishcoder/notebook3a3591eb36", "kernel_id": "64956307"}, {"ref": "bassantmaher/malware-detection", "kernel_id": "64382650"}, {"ref": "sarahhsamehh/notebook52f32fb00f", "kernel_id": "64187610"}, {"ref": "mohamedyoussefh/malware-with-neural-network-efficient-memory", "kernel_id": "65924074"}, {"ref": "hosammohammed/hosam-malware", "kernel_id": "65723263"}, {"ref": "abdallahassanseafan/fork-of-hosam-malware", "kernel_id": "65742848"}, {"ref": "khaledmousaalimousa/nulls-v1", "kernel_id": "65839124"}, {"ref": "hosammohammed/notebook48a87a2220", "kernel_id": "66506843"}, {"ref": "hosammohammed/mmp-nti-team", "kernel_id": "66774281"}, {"ref": "khaledmousaalimousa/model-1", "kernel_id": "66469677"}, {"ref": "ashay01/detecting-malwares-with-lgbm", "kernel_id": "68354447"}, {"ref": "abdulrhmanhussein01/microsoft-malware-prediction", "kernel_id": "69060712"}, {"ref": "abdelrahmanelshahed/microsoft-malware-prediction-mlp", "kernel_id": "72855681"}, {"ref": "mohamedhamdy32/networksecurity", "kernel_id": "72386876"}, {"ref": "alexandrkudryavtsev/microsoft-malware-prediction", "kernel_id": "74444212"}, {"ref": "alexanderkireev/01-ml-trainings-tabs", "kernel_id": "75287551"}, {"ref": "ziadlasheen/ziad-lasheen-malware-prediction", "kernel_id": "75456537"}, {"ref": "a7medelgo7ary/microsoft-malware-prediction", "kernel_id": "76388229"}, {"ref": "shehatareda/microsoft-malware-prediction-shehata", "kernel_id": "76453664"}, {"ref": "csmohamedayman/eda-tab-microsoft-malware-prediction", "kernel_id": "77389413"}, {"ref": "csmohamedayman/dl-catg-microsoft-malware-prediction", "kernel_id": "78735374"}, {"ref": "ahmedsalah44/microsoft-malware-prediction", "kernel_id": "78509782"}, {"ref": "a7medragab11/microsoft-malware-prediction", "kernel_id": "78998876"}, {"ref": "marawanmogeb/microsoft-malware-prediction", "kernel_id": "78768564"}, {"ref": "semernahdi/data-mining-project", "kernel_id": "79889665"}, {"ref": "mosammo/eda-microsoft-malware-prediction", "kernel_id": "80667738"}, {"ref": "khaledmousaalimousa/ms-malware-prediction-v1", "kernel_id": "87716782"}, {"ref": "aelhfnawi/microsoft-malware-prediction-v2-0-ipynb", "kernel_id": "91245812"}, {"ref": "aelhfnawi/microsoft-malware-prediction-v1-0-failed-ipynb", "kernel_id": "91243108"}, {"ref": "aliabdelhamidali/microsoft-malware-prediction-74-64-auc-test", "kernel_id": "92538626"}, {"ref": "egwatcher/microsoft-maleware-predection", "kernel_id": "92422662"}, {"ref": "levaydavannockay/final-project-group-8", "kernel_id": "99765002"}, {"ref": "evanoleary/alexandria-competition-microsoft-malware-314743", "kernel_id": "100777197"}, {"ref": "rehabalsayed/microsoft-malware-prediction", "kernel_id": "101182358"}, {"ref": "minahnguyen/finalgroupproject", "kernel_id": "101111768"}, {"ref": "neerajsolath21071/finalgroupproject", "kernel_id": "101208292"}, {"ref": "peternguyenusa/final-project", "kernel_id": "103649956"}, {"ref": "jeanniewise/group-1-final-project", "kernel_id": "103525918"}, {"ref": "sewitjoseph/finalgroupproject-d56cd3", "kernel_id": "103597394"}, {"ref": "chelssyemioma/group-project", "kernel_id": "103615435"}, {"ref": "yashkumarsingh5555/eda-catboost", "kernel_id": "103574289"}, {"ref": "yashkumarsingh5555/tabnet", "kernel_id": "103881274"}, {"ref": "yashkumarsingh5555/logistic-regression", "kernel_id": "103759373"}, {"ref": "yashkumarsingh5555/dt-notebook", "kernel_id": "103724174"}, {"ref": "yashkumarsingh5555/lightgbm", "kernel_id": "103733308"}, {"ref": "yashkumarsingh5555/xgboost", "kernel_id": "103737355"}, {"ref": "yashkumarsingh5555/descriptive", "kernel_id": "103966252"}, {"ref": "evgendvorkin/raw-data-catboost", "kernel_id": "105476668"}, {"ref": "freddyvalenciamedina/lab3-ia-valenciamedinafreddydaniel", "kernel_id": "111934690"}, {"ref": "melikesoygullucu/ece567-final-project-melike-soyg-ll-c", "kernel_id": "121446889"}, {"ref": "abdomahfouz1/santander-customer-transaction-prediction", "kernel_id": "132205677"}]}
{"competition_id": "10684", "kernels": [{"ref": "dzabalar/5-fold-lstm-attention-fully-commented", "kernel_id": "2774001"}, {"ref": "codeworm/vsb-conv1d-model", "kernel_id": "2505583"}, {"ref": "pradeep13/reading-parquet-files-using-r", "kernel_id": "2458619"}, {"ref": "silence2/datageneration", "kernel_id": "2762320"}, {"ref": "silence2/dataprocessing", "kernel_id": "2824805"}, {"ref": "silence2/lstm-feature-engineering", "kernel_id": "2840142"}, {"ref": "kenmatsu4/intuitive-interpretation-of-mcc", "kernel_id": "2594080"}, {"ref": "fernandoramacciotti/sync-waves-with-fft-coeffs", "kernel_id": "2915924"}, {"ref": "fernandoramacciotti/cnn-with-class-weights", "kernel_id": "2695159"}, {"ref": "delayedkarma/vsb-h2o-automl-baseline-lb-0-158-mcc-0-60", "kernel_id": "2483736"}, {"ref": "delayedkarma/first-steps-eda", "kernel_id": "2439453"}, {"ref": "delayedkarma/lightgbm-cv", "kernel_id": "2439848"}, {"ref": "delayedkarma/lightgbm-signal-fe-cv-0-863", "kernel_id": "2459049"}, {"ref": "konradcieslik/target-not-consistent-between-signals", "kernel_id": "2480345"}, {"ref": "ylchan87/eda-comparing-positve-and-negative-waveforms", "kernel_id": "2528253"}, {"ref": "gsadhas/signal-resampling-for-dimensionality-reduction", "kernel_id": "2448727"}, {"ref": "zoujie/analyze-power-line-signals-like-a-physicist", "kernel_id": "2483700"}, {"ref": "its7171/train-vs-test-analisys", "kernel_id": "2487075"}, {"ref": "yatzhash/non-neural-baseline-with-summarized-features", "kernel_id": "2844857"}, {"ref": "yatzhash/smote-to-learn-from-a-few-anomaly-sample", "kernel_id": "2892169"}, {"ref": "jagannathrk/5-fold-lstm-attention-fully-commented", "kernel_id": "2783686"}, {"ref": "residentmario/denoising-algorithms", "kernel_id": "2519928"}, {"ref": "residentmario/signal-decomposition-with-fast-fourier-transforms", "kernel_id": "2706360"}, {"ref": "rishabhiitbhu/eda-vsb-power-line-fault-detection", "kernel_id": "2533145"}, {"ref": "ashishpatel26/ensemble-learning-for-beginner-to-advance", "kernel_id": "2484600"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "ashishpatel26/redesign-stacked-lstm-advance-parameter-tuning", "kernel_id": "2509568"}, {"ref": "ashishpatel26/genetic-algorithm-for-beginner-to-advance", "kernel_id": "2159938"}, {"ref": "ashishpatel26/advance-pandas-tricks-and-techniques", "kernel_id": "2326628"}, {"ref": "ashishpatel26/interpretability-of-ml-black-box-model-iml", "kernel_id": "2993104"}, {"ref": "piyush28/cnn-tensorflow-estimator-dataset-api", "kernel_id": "2945144"}, {"ref": "afajohn/cnn-lstm-for-signal-classification-lb-0-513", "kernel_id": "2586109"}, {"ref": "vhessel/5-fold-lstm-attention-keras-stateful-metrics", "kernel_id": "2893904"}, {"ref": "jackvial/cnn-lstm-with-test-set-multiprocessing", "kernel_id": "2619498"}, {"ref": "jackvial/lstm-concat-phases-fp-correction-attempt", "kernel_id": "2797016"}, {"ref": "jackvial/dwt-signal-denoising", "kernel_id": "2513988"}, {"ref": "sohier/reading-the-data-with-python", "kernel_id": "2416982"}, {"ref": "donkeys/preprocessing-with-python-multiprocessing", "kernel_id": "2957212"}, {"ref": "virksaab/vsb-power-line-fault-detection-simple-eda-pp", "kernel_id": "2496136"}, {"ref": "virksaab/signal-noise-reduction-and-pre-processing-python", "kernel_id": "2515797"}, {"ref": "miklgr500/flatiron", "kernel_id": "2456270"}, {"ref": "sklasfeld/introduction-to-vsb-kaggle-competition", "kernel_id": "2854475"}, {"ref": "timothycwillard/vsb-power-line-faults-eda-feature-engineering", "kernel_id": "2439835"}, {"ref": "cchadha/an-intuitive-application-of-butterworth-filters", "kernel_id": "2715587"}, {"ref": "cchadha/initial-eda", "kernel_id": "2695051"}, {"ref": "tarunpaparaju/vsb-competition-attention-bilstm-with-features", "kernel_id": "2982409"}, {"ref": "danlester/pytorch-example-converted-from-public-keras", "kernel_id": "2955900"}, {"ref": "danlester/pytorch-nn-accepting-all-three-phases-at-once", "kernel_id": "2992716"}, {"ref": "yfyangd/simple-cnn-approach", "kernel_id": "2550097"}, {"ref": "padmakartj/sine-wave-removal-and-pattern-finding", "kernel_id": "2607639"}, {"ref": "padmakartj/cudnn", "kernel_id": "2791739"}, {"ref": "lakeoverflow/vsb-power-full-autoencoder", "kernel_id": "2628233"}, {"ref": "econdata/readingdata", "kernel_id": "2666039"}, {"ref": "suicaokhoailang/5-fold-lstm-with-threshold-tuning-0-618-lb", "kernel_id": "2670990"}, {"ref": "suicaokhoailang/transformer-baseline-0-672-lb", "kernel_id": "2779328"}, {"ref": "silvernine/vbs-power-line-fault-detection", "kernel_id": "2828836"}, {"ref": "liu123/dtw-and-knn-baseline-script", "kernel_id": "2447589"}, {"ref": "mykim89/1st-eda-for-vsb-power-line-fault-detection", "kernel_id": "2556240"}, {"ref": "bigswimatom/5-fold-lstm-attention-stateful-metrics-with-exp", "kernel_id": "2923422"}, {"ref": "bluexleoxgreen/simple-feature-lightgbm-baseline", "kernel_id": "2451064"}, {"ref": "go1dfish/basic-eda", "kernel_id": "2439143"}, {"ref": "rtroper4/vsb-plfd-initial-eda", "kernel_id": "2954392"}, {"ref": "braquino/5-fold-lstm-attention-fully-commented-0-694", "kernel_id": "2738487"}, {"ref": "braquino/vsb-power-lstm-attention", "kernel_id": "2637601"}, {"ref": "pnussbaum/vsb-power-using-autoencoding-v09", "kernel_id": "2692495"}, {"ref": "theoviel/fast-fourier-transform-denoising", "kernel_id": "2450058"}, {"ref": "takafumitakizawa/cnn-lstm-model", "kernel_id": "2555605"}, {"ref": "xhlulu/exploring-signal-processing-with-scipy", "kernel_id": "2459445"}, {"ref": "minix193/one-feature-constructing", "kernel_id": "2858782"}, {"ref": "jimmybow/power-line-fault-detection-auto-encoder", "kernel_id": "2598210"}, {"ref": "jimmybow/data-set-output", "kernel_id": "2601136"}, {"ref": "jimmybow/power-line-fault-detection-create-model", "kernel_id": "2548529"}, {"ref": "jimmybow/power-line-fault-detection-predict", "kernel_id": "2560483"}, {"ref": "proef2/feature-engineering-with-numba-in-5-minutes", "kernel_id": "2985964"}, {"ref": "datawiz/vsb-reduce-training-dataset", "kernel_id": "3151963"}, {"ref": "tunguz/handmade-features-only", "kernel_id": "3059046"}, {"ref": "cyberia/descriptive-eda", "kernel_id": "3231866"}, {"ref": "wkirgsn/clean-vectorized-data-preprocessing", "kernel_id": "3058282"}, {"ref": "yatzhash/fixed-vsb-competition-base-neural-network-045804", "kernel_id": "3260001"}, {"ref": "harshit92/more-features-from-signal", "kernel_id": "3001918"}, {"ref": "sheriytm/catboost-with-handmade-features", "kernel_id": "3055873"}, {"ref": "junkoda/handmade-features", "kernel_id": "3040749"}, {"ref": "vhessel/simple-clustering-analysis-in-the-frequency-domain", "kernel_id": "3107317"}, {"ref": "elecshiba/vsb-data-augmentation", "kernel_id": "3332078"}, {"ref": "dineshzero/vsb-blending", "kernel_id": "3332204"}, {"ref": "qinhui1999/handmade-features-0685-private-score", "kernel_id": "3372661"}, {"ref": "kushaj/vsb-first-analysis", "kernel_id": "3263290"}, {"ref": "donkeys/learning-to-lstm", "kernel_id": "3141724"}, {"ref": "hengzheng/vsb-attention-capsule-cnn", "kernel_id": "3343223"}, {"ref": "mark4h/vsb-1st-place-solution", "kernel_id": "3391408"}, {"ref": "tarunpaparaju/vsb-competition-bilstm-crf", "kernel_id": "3040490"}, {"ref": "tarunpaparaju/vsb-signal-trend-analysis-with-seasonal", "kernel_id": "3079442"}, {"ref": "ratthachat/workshop-lstm", "kernel_id": "3775777"}, {"ref": "ratthachat/demythifying-matthew-correlation-coefficients-mcc", "kernel_id": "3293564"}, {"ref": "padmakartj/convolution-handmade-patterns", "kernel_id": "3162072"}, {"ref": "ludovicoristori/vsb-data-prep-let-s-get-the-party-started", "kernel_id": "3078379"}, {"ref": "ludovicoristori/trying-to-join-the-ann-party", "kernel_id": "3216667"}, {"ref": "roydatascience/attention-feature-engineering-augmentation", "kernel_id": "3299602"}, {"ref": "roydatascience/eda-iso-pca-lle-stratified-lstm-attention", "kernel_id": "3148589"}, {"ref": "khayashima/loss-functions-for-class-imbalance-focal-loss", "kernel_id": "3034222"}, {"ref": "khayashima/data-augmentation-inspired-by-sound-analysis", "kernel_id": "3100225"}, {"ref": "pnussbaum/adversarial-cnn-of-ptp-for-vsb-power-v12", "kernel_id": "3020418"}, {"ref": "andorhofecker/miniature-power-line-model-for-insight-video", "kernel_id": "3083188"}, {"ref": "ehsanolyaee/vsb-power-line-fault-detection", "kernel_id": "3253252"}, {"ref": "francispimentel/working-with-large-datasets", "kernel_id": "3888590"}, {"ref": "renandns/kernel-renan-pca-selectkbest-v2", "kernel_id": "3899859"}, {"ref": "jeffreyegan/vsb-power-line-fault-detection-approach", "kernel_id": "3200237"}, {"ref": "kmekar/vsb-fault-detection-dwt-denoising", "kernel_id": "3169687"}, {"ref": "johnxuu/why-it-is-always-failure-tsfresh", "kernel_id": "3112816"}, {"ref": "stanislavblinov/bidirectional-hell", "kernel_id": "3252853"}, {"ref": "sky99198/695final-vsb-pd", "kernel_id": "3946006"}, {"ref": "jake126/vsb-power-lstm-understanding", "kernel_id": "4628203"}, {"ref": "genericurl/demo-ds-project-based-on-the-winning-solution", "kernel_id": "7108077"}, {"ref": "hanjoonchoe/vsb-dense-conv1d-net-pytorch", "kernel_id": "7765263"}, {"ref": "nlebang/vsb-power-line-fault-detection-bngv1", "kernel_id": "9620685"}, {"ref": "imkaushal/power-line-fault-detection-eda-feature-engineering", "kernel_id": "9682322"}, {"ref": "tusharkale/5-fold-lstm-attention-fully-commented", "kernel_id": "10389237"}, {"ref": "alfonsocubillos/proyecto-analitica", "kernel_id": "13315079"}, {"ref": "widhiwinata/cnn-lstm-for-signal-classification-lb-0-513", "kernel_id": "13767248"}, {"ref": "joseluisquispecanaza/deep-learning-1", "kernel_id": "14068517"}, {"ref": "baipiaopaper/cnn-lstm-model-wind", "kernel_id": "14009106"}, {"ref": "huahuabaqi/cnn-lstm-swat", "kernel_id": "15777558"}, {"ref": "eneskuralay/fft-denoising", "kernel_id": "16678517"}, {"ref": "acubillosde/proyecto-analitica", "kernel_id": "16944063"}, {"ref": "josedanielalvear/proyecto-analitica", "kernel_id": "16767558"}, {"ref": "fanglin000345/5-fold-lstm-attention-fully-commented", "kernel_id": "16367057"}, {"ref": "pigpppp/handmade-features-0685-private-score", "kernel_id": "17621512"}, {"ref": "shitalborganve/early-event-detection-in-power-lines", "kernel_id": "18482179"}, {"ref": "lkubota/pme5224-vsbpowerline", "kernel_id": "18254038"}, {"ref": "leilakhell/vsb-power-line-fault-detection", "kernel_id": "18447058"}, {"ref": "janardhanshingade/early-event-detection-in-power-lines", "kernel_id": "19345557"}, {"ref": "shitalborganve/cnn-event-detection-in-powerlines", "kernel_id": "27171655"}, {"ref": "riluck/vsb-power-line-fault-detection-approach", "kernel_id": "27110456"}, {"ref": "vitthalg27/attention-feature-engineering-augmentation", "kernel_id": "29323109"}, {"ref": "floresenhalloween/fft-y-denoising", "kernel_id": "32640548"}, {"ref": "tunminhv/network-traffic-3", "kernel_id": "36526582"}, {"ref": "srikanth00/notebook7a2b68d0e5", "kernel_id": "37121492"}, {"ref": "ashraf284/vsb-hf", "kernel_id": "40276234"}, {"ref": "cthulhucoder/5-fold-lstm-attention", "kernel_id": "40183212"}, {"ref": "crischir/cnn-lstm-for-signal-classification-lb-0-513", "kernel_id": "44309975"}, {"ref": "eva215000/notebook16dfc7e8ac", "kernel_id": "44825166"}, {"ref": "hanxiaofei/notebook16dfc7e8ac", "kernel_id": "49580874"}, {"ref": "saadqacif/5-fold-lstm-attention-fully-commented", "kernel_id": "74212431"}]}
{"competition_id": "10686", "kernels": [{"ref": "domcastro/let-s-annoy-abhishek", "kernel_id": "2504759"}, {"ref": "abhishek/nothing-interesting-here", "kernel_id": "2490169"}, {"ref": "abhishek/maybe-something-interesting-here", "kernel_id": "2497701"}, {"ref": "meetnaren/view-a-random-sample-with-label-annotations", "kernel_id": "2498495"}, {"ref": "rudikruger/r-baby", "kernel_id": "2738067"}, {"ref": "risntforpirates/petfinder-simple-lgbm", "kernel_id": "2827011"}, {"ref": "ecodan/pet-adoption-data-exploration", "kernel_id": "2613132"}, {"ref": "danofer/merge-petfinder-data-v1", "kernel_id": "2505608"}, {"ref": "peterhurford/pets-lightgbm-baseline-with-all-the-data", "kernel_id": "2500746"}, {"ref": "macsmith/petfinder-my-compare-metadata-with-images", "kernel_id": "2804485"}, {"ref": "husnusensoy/as-simple-as-it-gets", "kernel_id": "2670444"}, {"ref": "chriskeown/baselinemodeling-keown", "kernel_id": "2974585"}, {"ref": "vwvolodya/pytorch-nn-with-embedding-layer", "kernel_id": "2683817"}, {"ref": "erlichsefi/petfinder", "kernel_id": "2509017"}, {"ref": "jankoch/simple-baseline-score-per-animal-type", "kernel_id": "2502039"}, {"ref": "andraszsom/shap-intro-actionable-insights-from-tabular-data", "kernel_id": "2560911"}, {"ref": "goelpravin/peteda", "kernel_id": "2541947"}, {"ref": "tnowicki/h2o-stackedensemble-sentimentdata-metadata", "kernel_id": "2742564"}, {"ref": "tnowicki/h2o-randomforest-and-sentimentr", "kernel_id": "2574732"}, {"ref": "chriswill/initial-models-and-submission-starter-code", "kernel_id": "2503637"}, {"ref": "alexandralorenzo/models-combination", "kernel_id": "2937395"}, {"ref": "kikexclusive/curiosity-didn-t-kill-the-cat-all-in-one", "kernel_id": "2502708"}, {"ref": "guilhermekodama/eda-petfinder-competition-catboost-baseline", "kernel_id": "2900843"}, {"ref": "carrie1/descriptive-stats-knn-w-petfinder-my-data", "kernel_id": "2544433"}, {"ref": "tunguz/annoying-ab-shreck-and-bluetooth", "kernel_id": "2505275"}, {"ref": "wizarddata/multiple-lgbm-tabular-data-only", "kernel_id": "2781652"}, {"ref": "francoisdubois/transform-sentiment-data-to-a-dataframe-with-r", "kernel_id": "2567803"}, {"ref": "francoisdubois/text-mining-on-description", "kernel_id": "2668730"}, {"ref": "francoisdubois/extract-image-features-prerained-nn-in-r", "kernel_id": "2752432"}, {"ref": "naveenasaithambi/optimizedrounder-improved", "kernel_id": "2701783"}, {"ref": "lakinsm/csu-team1", "kernel_id": "2795481"}, {"ref": "ksaaskil/feature-importance-exploration-and-baseline", "kernel_id": "2921010"}, {"ref": "sumitjha19/humanifyai-petfinder-automl-h2o-package", "kernel_id": "2502781"}, {"ref": "anhquan0412/build-nn-model-with-early-stopping-using-fastai", "kernel_id": "2937955"}, {"ref": "myltykritik/task1-nadya-anna", "kernel_id": "2785225"}, {"ref": "myltykritik/start", "kernel_id": "2625004"}, {"ref": "myltykritik/start3", "kernel_id": "2673527"}, {"ref": "myltykritik/task1", "kernel_id": "2682604"}, {"ref": "myltykritik/simple-lgbm-image-features", "kernel_id": "2901523"}, {"ref": "wrosinski/baselinemodeling", "kernel_id": "2936015"}, {"ref": "alhankeser/step-by-step-eda-and-score-improvements", "kernel_id": "2744884"}, {"ref": "wizmik12/take-more-photos-of-old-pets", "kernel_id": "2516887"}, {"ref": "chrisevans/playing-around-with-the-data", "kernel_id": "2795895"}, {"ref": "sunnymarkliu/cat-or-dog-finetune-nn-to-extract-image-features", "kernel_id": "2780087"}, {"ref": "rafaelleonhardt/petfinder-eda-focused-on-text-content", "kernel_id": "2638002"}, {"ref": "roarke/draft-first-look", "kernel_id": "2696405"}, {"ref": "matthewarthur/fastai-tabular-dataloader-api-tutorial", "kernel_id": "2951476"}, {"ref": "aditya1702/eda-of-all-24-variables", "kernel_id": "2561347"}, {"ref": "gaborvecsei/adoption-speed-from-images", "kernel_id": "2541087"}, {"ref": "artgor/exploration-of-data-step-by-step", "kernel_id": "2528816"}, {"ref": "moizzz/pet-adoption-eda-and-preliminary-model", "kernel_id": "2625254"}, {"ref": "amitrajan012/eda-and-lightgbm-only-train-data", "kernel_id": "2516851"}, {"ref": "weegee/analysis-of-adopt-my-pet-data", "kernel_id": "2876680"}, {"ref": "muchomaas/petfinder-simple-rf-with-bag-of-words-features", "kernel_id": "2499803"}, {"ref": "parmeet1992/logistic-regression-using-spark", "kernel_id": "2960394"}, {"ref": "parmeet1992/logistic-regression-using-sklearn", "kernel_id": "2960979"}, {"ref": "parmeet1992/logistic-regresssion", "kernel_id": "2961115"}, {"ref": "shogonagano/extremely-easy-and-quick-eda-for-beginner", "kernel_id": "2860242"}, {"ref": "lowecoryr/first-eda", "kernel_id": "2770468"}, {"ref": "lowecoryr/testing-sharing-kernels-so-only-the-team-can-see", "kernel_id": "2641794"}, {"ref": "takuok/word2vec", "kernel_id": "2697147"}, {"ref": "ashishpatel26/tensorflow-for-beginner-to-advance", "kernel_id": "2441886"}, {"ref": "ashishpatel26/black-white-to-color-image-using-dl", "kernel_id": "2593197"}, {"ref": "ashishpatel26/comprehensive-guide-of-object-detection-algorithms", "kernel_id": "2666175"}, {"ref": "ashishpatel26/model-tuning-with-lgbm", "kernel_id": "2834293"}, {"ref": "nicapotato/text-and-structured-data-lgbm", "kernel_id": "2494873"}, {"ref": "asdftoger/quick-and-dirty-random-forest-petfinder", "kernel_id": "2521057"}, {"ref": "plarmuseau/sack-knife-predict-cat-dog-do-we-need-a-cleanup", "kernel_id": "2595144"}, {"ref": "plarmuseau/nothing-interesting-here", "kernel_id": "2499226"}, {"ref": "bck513/petfinder-eda", "kernel_id": "2528818"}, {"ref": "teemingyi/petfinder-eda-lgb-model", "kernel_id": "2491804"}, {"ref": "teemingyi/lgb-model-with-image-statistics", "kernel_id": "2546510"}, {"ref": "teemingyi/image-statistics-for-petfinder", "kernel_id": "2540440"}, {"ref": "linhvn/petfinder", "kernel_id": "2731776"}, {"ref": "shahules/who-gets-adopted", "kernel_id": "2593512"}, {"ref": "gennadylaptev/qwk-loss-for-pytorch", "kernel_id": "2744416"}, {"ref": "gennadylaptev/petfinder-mlp-on-categorical-features", "kernel_id": "2730397"}, {"ref": "gennadylaptev/feature-extraction-with-pytorch-pretrained-models", "kernel_id": "2651082"}, {"ref": "amiron/task3", "kernel_id": "2767224"}, {"ref": "amiron/task1", "kernel_id": "2745720"}, {"ref": "geeknurse/petfinder-h2o-automl-combined", "kernel_id": "2513736"}, {"ref": "orange90/all-features-added-solution-of-petfinder-my", "kernel_id": "2618178"}, {"ref": "jaseziv83/an-extensive-eda-of-petfinder-my-data", "kernel_id": "2509852"}, {"ref": "longfin/kernela31ef89928", "kernel_id": "2731372"}, {"ref": "caoquan95/petfinder-gru-with-description", "kernel_id": "2927237"}, {"ref": "dczerniawko/petfinder-my-eda-with-map", "kernel_id": "2819720"}, {"ref": "hengzheng/densenet-pretrain-with-internet-blocked", "kernel_id": "2679074"}, {"ref": "dicksonchin93/pytorch-starter-all-features", "kernel_id": "2648314"}, {"ref": "wolfgangb33r/petfinder-simple-randomforest", "kernel_id": "2517861"}, {"ref": "kgeorge/tabular-data-pipeline", "kernel_id": "2709697"}, {"ref": "stephg2109/vanilla-classifiers-gridsearch-svm-dt-knn-rf", "kernel_id": "2933708"}, {"ref": "stephg2109/data-preprocessing-using-dummy-variables", "kernel_id": "2910067"}, {"ref": "joydeb28/pet-finder-with-lgb", "kernel_id": "2493315"}, {"ref": "wakamezake/petfinder-simple-lgbm-baseline", "kernel_id": "2655586"}, {"ref": "wakamezake/how-to-load-metadata-and-sentiment-data", "kernel_id": "2655631"}, {"ref": "timothycwillard/petfinder-simple-lgbm-model-baseline", "kernel_id": "2491115"}, {"ref": "timothycwillard/petfinder-eda", "kernel_id": "2492686"}, {"ref": "xitizzz/eda-lightgbm", "kernel_id": "2508175"}, {"ref": "hmchuong/simple-neural-network-approach", "kernel_id": "2708682"}, {"ref": "hsankesara/petfinder-exploring-everything", "kernel_id": "2528463"}, {"ref": "alexanderliao/vectorizing-english-sentences-by-infersent", "kernel_id": "2676389"}, {"ref": "mnagao/pytorch-hymenoptera", "kernel_id": "2655289"}, {"ref": "skooch/corrected-catboostregressor", "kernel_id": "2630549"}, {"ref": "skooch/petfinder-simple-lgbm-baseline", "kernel_id": "2517517"}, {"ref": "skooch/petfinder-simple-catboost-baseline", "kernel_id": "2573770"}, {"ref": "duckyforce/r-weighted-kappa-loss-function-for-keras", "kernel_id": "2969475"}, {"ref": "bashamsc/pet-adoption-prediction-using-gbc", "kernel_id": "2643272"}, {"ref": "christofhenkel/keras-baseline-only-train-csv", "kernel_id": "2494788"}, {"ref": "christofhenkel/extract-image-features-from-pretrained-nn", "kernel_id": "2543927"}, {"ref": "christofhenkel/weighted-kappa-loss-for-keras-tensorflow", "kernel_id": "2729914"}, {"ref": "tayyabali55/complete-pet-finder-analysis-with-lgbm-4-0", "kernel_id": "2718066"}, {"ref": "yfyangd/random-forest-with-pca", "kernel_id": "2665550"}, {"ref": "erikbruin/petfinder-my-detailed-eda-and-xgboost-baseline", "kernel_id": "2601247"}, {"ref": "gsreyan/simple-exploration-of-description-column", "kernel_id": "2525116"}, {"ref": "kawaiy/feature-engineering-and-model-ensemble", "kernel_id": "2809329"}, {"ref": "kawaiy/my-first-kernel-with-xgboost", "kernel_id": "2800334"}, {"ref": "dan3dewey/petfinder-eda-and-simple-predictions", "kernel_id": "2527223"}, {"ref": "dan3dewey/baseline-random-forest-with-get-class-bounds", "kernel_id": "2570519"}, {"ref": "rodasoares/tree-forest-xgboost-simple-densenn", "kernel_id": "2793428"}, {"ref": "rodasoares/neural-network-genetic-weigths-evolution", "kernel_id": "2825008"}, {"ref": "econdata/petfinder-lgbm", "kernel_id": "2676776"}, {"ref": "econdata/petfinderprediction", "kernel_id": "2680518"}, {"ref": "gagankarora/classifier-selection-learning-curves", "kernel_id": "2568838"}, {"ref": "ulissesdias/xgboost-all-data-hyperopt-parameter-tuning", "kernel_id": "2502908"}, {"ref": "ulissesdias/exploratory-data-analysis-and-decision-tree", "kernel_id": "2496311"}, {"ref": "dongwonl/petfinderpredictions-xgboost-and-random-forest", "kernel_id": "2712726"}, {"ref": "sushmitapandit184/eda-pet-finder-beginner", "kernel_id": "2708794"}, {"ref": "sushmitapandit184/kernel8886310314", "kernel_id": "2709997"}, {"ref": "harmverschuren/petfinder-part-1", "kernel_id": "2551531"}, {"ref": "ktm216/kathryn", "kernel_id": "2612241"}, {"ref": "ildara/petfinder-my-initial-eda", "kernel_id": "2713200"}, {"ref": "bravenoob/cas-pml-hs18-eda", "kernel_id": "2802807"}, {"ref": "djaym7/petfinder-lstm", "kernel_id": "2528322"}, {"ref": "narendrashu/pet-finder", "kernel_id": "2546860"}, {"ref": "waydegg/baseline-tabular-learner-with-fastai-v1", "kernel_id": "2740457"}, {"ref": "ludovicoristori/pets-adoption-simple-pandas-random-forest", "kernel_id": "2576110"}, {"ref": "ludovicoristori/pet-adoption-simple-part-ii-data-merge-lgbm", "kernel_id": "2608162"}, {"ref": "macespinoza/quadratic-kappa-metric-explicado-en-5-pasos", "kernel_id": "2610117"}, {"ref": "ashirahama/exploration-of-data-step-by-step", "kernel_id": "2726438"}, {"ref": "rahulpatel11315/simple-fast-eda-for-petfinder-my-adoption-in-5-min", "kernel_id": "2877658"}, {"ref": "rahulpatel11315/selecting-the-best-number-of-components-for-tsvd", "kernel_id": "2864231"}, {"ref": "go1dfish/simpleeda-petfinder", "kernel_id": "2493292"}, {"ref": "lpdataninja/data-science-glossary-12-eda-feature-engineering", "kernel_id": "2590465"}, {"ref": "carlolepelaars/eda-and-ensembling", "kernel_id": "2497824"}, {"ref": "braquino/images-autoencoder-wip", "kernel_id": "2929151"}, {"ref": "sungdoo/petfinder-my-practice", "kernel_id": "2968733"}, {"ref": "cjbecerr/linear-model-clustering", "kernel_id": "2650983"}, {"ref": "wallgren/petfinderusingrf", "kernel_id": "2503796"}, {"ref": "jeffreytanjx/condensed-pet-finder-eda-with-seaborn", "kernel_id": "2528291"}, {"ref": "mdtoufique/petfinder", "kernel_id": "2497944"}, {"ref": "aroraaman/quadratic-kappa-metric-explained-in-5-simple-steps", "kernel_id": "2508031"}, {"ref": "kaerunantoka/eda-confusion-matrix-visualization", "kernel_id": "2765021"}, {"ref": "kaerunantoka/extract-image-features", "kernel_id": "2983475"}, {"ref": "mukesh62/lgbm-with-catboost", "kernel_id": "2792223"}, {"ref": "beloruk1/baseline-random-forest", "kernel_id": "2504422"}, {"ref": "conradws/don-t-put-cats-and-dogs-in-the-same-teapot", "kernel_id": "2803079"}, {"ref": "dhc1995/data-exploration-with-raw-data", "kernel_id": "2676994"}, {"ref": "vaibhav2201/lgbm-with-catboost", "kernel_id": "2792222"}, {"ref": "dungeonmaster081/eda-petfinder", "kernel_id": "2495733"}, {"ref": "g6j3cl4/kernele1062873b4", "kernel_id": "2682947"}, {"ref": "joeycorea/petfinder-prediction-notebook", "kernel_id": "2714917"}, {"ref": "kristenbrown/csu-team-2", "kernel_id": "2795490"}, {"ref": "timsonrisa/petfinder-p-1-data-exploration", "kernel_id": "2500125"}, {"ref": "timsonrisa/pytorch-fully-connected-net-starter", "kernel_id": "2579090"}, {"ref": "mgreene02/random-forest-pet-adoption-speed-prediction", "kernel_id": "2543180"}, {"ref": "ashishkhuraishy/adoption-prediction-beginners-guide", "kernel_id": "2504117"}, {"ref": "dochad/pet-adoption-starter-kernel-tutorial", "kernel_id": "2505876"}, {"ref": "reginashay/petfinder-xgb", "kernel_id": "2587958"}, {"ref": "phongnguyen1906/simple-nn-model", "kernel_id": "2988649"}, {"ref": "mawuliadjei/random-forest-and-xgboost", "kernel_id": "2648407"}, {"ref": "s3rg388/kernel4337896d9e", "kernel_id": "2548323"}, {"ref": "xhlulu/keras-cnn-starter-petfinder", "kernel_id": "2497907"}, {"ref": "jazivxt/pound-puppies", "kernel_id": "2739578"}, {"ref": "sun4gh/one-hot-encoding-categorical-data-using-sklearn", "kernel_id": "2738770"}, {"ref": "cmougan/eda-easyrf", "kernel_id": "2499062"}, {"ref": "evaart/nlp-and-easy-ml", "kernel_id": "2509403"}, {"ref": "yetiag/the-most-beautiful-kernel", "kernel_id": "2791615"}, {"ref": "aniketkatyal/pet-adoption-analysis", "kernel_id": "2747385"}, {"ref": "jhonatansilva31415/step-by-step-guide-create-your-own-kernel", "kernel_id": "2494539"}, {"ref": "karunakars/petfinder", "kernel_id": "2527013"}, {"ref": "ranfea/pet-adoption-speed-prediction", "kernel_id": "2512502"}, {"ref": "cdhimmel/baselinemodel-segmented", "kernel_id": "2988686"}, {"ref": "abhineethmishra/using-a-nn", "kernel_id": "2719149"}, {"ref": "abhineethmishra/using-random-forest", "kernel_id": "2697930"}, {"ref": "mesutmutlu/exploratory-analysis-and-lgbm", "kernel_id": "2517524"}, {"ref": "thomasroy/test-petfinder", "kernel_id": "2711182"}, {"ref": "mitjasha/simple-blending-petfinder", "kernel_id": "2555616"}, {"ref": "yanransmiles/quadratic-kappa-metric-explained-in-5-simple-steps", "kernel_id": "2698929"}, {"ref": "cloverdharmendra/hard-lgb", "kernel_id": "2648655"}, {"ref": "raxnamosa/petfinder-analysis", "kernel_id": "2545152"}, {"ref": "harivilasreddy/kernel9e6b717301", "kernel_id": "2537603"}, {"ref": "wjburns/petfinder-correlation-matrix", "kernel_id": "2554926"}, {"ref": "enthusiasmcurbed/really-simple-fastai-tabular", "kernel_id": "2508199"}, {"ref": "vodacthe/petfinder-sklearn-test-prediction", "kernel_id": "2613618"}, {"ref": "brtobin/petfinder-grids", "kernel_id": "2496792"}, {"ref": "brtobin/kernelc101c87b72", "kernel_id": "2496745"}, {"ref": "brtobin/petfinder", "kernel_id": "2496513"}, {"ref": "brtobin/fork-of-petfinder-grids", "kernel_id": "2535328"}, {"ref": "patricknguyen/machine-learning-for-noobs", "kernel_id": "2627553"}, {"ref": "derderi/kernel3157e23d0f", "kernel_id": "2585688"}, {"ref": "derderi/fork-of-my-123job", "kernel_id": "2588180"}, {"ref": "matthewsparr/notebook-xgb-classifier", "kernel_id": "2587419"}, {"ref": "matthewsparr/random-forest-baseline", "kernel_id": "2552305"}, {"ref": "nandals/getting-started-using-adaboostclassifier", "kernel_id": "2727788"}, {"ref": "rlattanzi/first", "kernel_id": "2587236"}, {"ref": "rlattanzi/second", "kernel_id": "2587303"}, {"ref": "gulzhanut/partial-data-prediction-using-automl-google-cloud", "kernel_id": "2961049"}, {"ref": "laominghan/first-exploration", "kernel_id": "2573976"}, {"ref": "debkings/basic-python-prediction", "kernel_id": "2601905"}, {"ref": "debkings/exploration-of-data-step-by-step", "kernel_id": "2595539"}, {"ref": "harshc/image-metadata-data-analysis", "kernel_id": "2706278"}, {"ref": "deepbilal/using-fastai-tabular-on-petfinder", "kernel_id": "2895355"}, {"ref": "ericbae731/feature-importance-of-gradient-boosting-simple", "kernel_id": "2730880"}, {"ref": "datbos/scooby", "kernel_id": "2914305"}, {"ref": "kqkaggle/first-kernel-0adb76", "kernel_id": "2874594"}, {"ref": "zhangyang/why-is-this-allowed-to-submit", "kernel_id": "3108458"}, {"ref": "irischiba/kerneld311276057", "kernel_id": "3291573"}, {"ref": "dustinthewind/making-sense-of-mean-encoding", "kernel_id": "3276063"}, {"ref": "radhikesh/eda-petfinder", "kernel_id": "3635978"}, {"ref": "thomasseleck/kernel-ranked-108th-lb-0-464", "kernel_id": "3428611"}, {"ref": "alexfraze/public-ensemble-my-nlp-features", "kernel_id": "3413989"}, {"ref": "anlarro/mybestlgbm", "kernel_id": "3154192"}, {"ref": "tgibbons/project-4-second-try-ipynb", "kernel_id": "3213742"}, {"ref": "tgibbons/student-project-looking-for-feedback", "kernel_id": "3233198"}, {"ref": "jakubwasikowski/stratified-group-k-fold-cross-validation", "kernel_id": "3379254"}, {"ref": "artula/forest-and-gradient-boosting", "kernel_id": "3245148"}, {"ref": "artula/neural-network", "kernel_id": "3256941"}, {"ref": "mhyodo/extract-image-features-from-pretrained-nn-ver", "kernel_id": "3827533"}, {"ref": "jmyrberg/final-model-1-best-lb-31-lb", "kernel_id": "3303276"}, {"ref": "praxitelisk/petfinder-adoption-prediction-eda-xgboost", "kernel_id": "3258062"}, {"ref": "insaff/xgboost-blending-full-model", "kernel_id": "3367883"}, {"ref": "ksaaskil/pets-definitive-catboost-tuning", "kernel_id": "3074669"}, {"ref": "aerdem4/pf-f-lofo-importance-on-adversarial-validation", "kernel_id": "3278102"}, {"ref": "pronkin/baseline-petfinder-timewraping", "kernel_id": "3167152"}, {"ref": "corochann/13-th-place-solution-ensemble-of-5-models", "kernel_id": "3545702"}, {"ref": "boulahiat/petfinder-prediction", "kernel_id": "3130611"}, {"ref": "wrosinski/pretrained-cnn-albumentations", "kernel_id": "3017436"}, {"ref": "luudactam/darling-lgbm-v14", "kernel_id": "3321823"}, {"ref": "maoyinan/analysis-on-text-sentiment", "kernel_id": "3371750"}, {"ref": "zfreundt/initial-pet-exploratory-analysis", "kernel_id": "3552603"}, {"ref": "budiryan/32nd-place-solution", "kernel_id": "3573300"}, {"ref": "budiryan/32nd-solution-stacking-of-5-models", "kernel_id": "3354927"}, {"ref": "kumarajay/single-xgboost-model", "kernel_id": "3312804"}, {"ref": "kingychiu/avoid-overfitting-adversarial-validation", "kernel_id": "3261350"}, {"ref": "ranjoranjan/baselinemodeling-keown", "kernel_id": "3060337"}, {"ref": "ranjoranjan/single-xgboost-model", "kernel_id": "3164689"}, {"ref": "ranjoranjan/stacking-kernels-lb-0-442", "kernel_id": "3152799"}, {"ref": "ritik99/xgboost-basic", "kernel_id": "3443392"}, {"ref": "rafalpi/overview-of-prediction-algorithms-nad-text-mining", "kernel_id": "3179831"}, {"ref": "yeayates21/cnn-w-custom-image-augmentation-v2", "kernel_id": "3291152"}, {"ref": "adityaecdrid/simple-xlearn", "kernel_id": "3297809"}, {"ref": "adityaecdrid/8th-place-solution-code", "kernel_id": "3406989"}, {"ref": "bminixhofer/5th-place-solution-code", "kernel_id": "3541601"}, {"ref": "kishi001/xgboost-model-updated", "kernel_id": "3273685"}, {"ref": "axel81/ensemble-of-xgboost-lgbm-59th-place-solution", "kernel_id": "3170988"}, {"ref": "baomengjiao/fork-of-v5-fork-v4-change-gpu-add-name-feature", "kernel_id": "3375041"}, {"ref": "ryches/42nd-solution-nothing-special", "kernel_id": "3406352"}, {"ref": "naka2ka/stack-480-speedup-groupkfold-with-no-dict", "kernel_id": "3406025"}, {"ref": "tuanflash/petfinder-simple-xgb-with-magic-features", "kernel_id": "3065681"}, {"ref": "nichaoku/cat-and-dog-breeds-parameters-tabular", "kernel_id": "3295473"}, {"ref": "cgundlach/keras-text-cnn-densenet121-image-features", "kernel_id": "3116401"}, {"ref": "hengzheng/33rd-solution", "kernel_id": "3552470"}, {"ref": "hengzheng/lgb-bayesian-parameters-finding", "kernel_id": "3075568"}, {"ref": "ambujesh/improving-accuracy-lr", "kernel_id": "3104753"}, {"ref": "kgeorge/yolo-v3-object-detection-for-petfinder", "kernel_id": "3058611"}, {"ref": "wakamezake/lightgbm-image-features-etc", "kernel_id": "3165252"}, {"ref": "wuyhbb/final-small", "kernel_id": "3409277"}, {"ref": "ateplyuk/images-without-background", "kernel_id": "3211943"}, {"ref": "ateplyuk/keras-starter-images-only", "kernel_id": "3132650"}, {"ref": "cberrido/eda-rf-and-xgboost-modelling", "kernel_id": "3234895"}, {"ref": "yangxu1994/kernele581fb42c9", "kernel_id": "3615077"}, {"ref": "yangxu1994/kernel6c8fed4e33", "kernel_id": "3612976"}, {"ref": "yangxu1994/kernel080dfd8d76", "kernel_id": "3613028"}, {"ref": "vtanguturi3/4240-project", "kernel_id": "3211084"}, {"ref": "honglanlann/lan-base", "kernel_id": "3193689"}, {"ref": "edwardjross/neural-network-tabuler-vision-fastai-poc", "kernel_id": "3111063"}, {"ref": "harupy/detect-outliers", "kernel_id": "3071226"}, {"ref": "hidehisaarai1213/pet-category-embedding-image-size-te", "kernel_id": "3348838"}, {"ref": "hidehisaarai1213/petfinder-lots-of-images-delete-resc-coding", "kernel_id": "3409032"}, {"ref": "hidehisaarai1213/petfinder-lots-of-images-delete-resc-coding2", "kernel_id": "3546517"}, {"ref": "dan3dewey/petfinder-scikit-models-and-stacking", "kernel_id": "3486342"}, {"ref": "remisn/petfinder-fastai-ai", "kernel_id": "3436527"}, {"ref": "bibek777/light-check", "kernel_id": "3116610"}, {"ref": "chizhu2018/final-submit-two-10th-solution-private-0-442", "kernel_id": "3363174"}, {"ref": "alessandrosolbiati/test-your-human-score-at-classifying-pets", "kernel_id": "3267884"}, {"ref": "enisimsar/22nd-place-solution", "kernel_id": "3401140"}, {"ref": "qadfafasfafafafsafa/petfinder-simple-lgbm", "kernel_id": "3008818"}, {"ref": "strangemane/pet-adoption-speed-prediction-with-r-and-h2o", "kernel_id": "3375076"}, {"ref": "divyanshusharma1709/mykernel", "kernel_id": "3184899"}, {"ref": "reppy4620/xgboost", "kernel_id": "3163084"}, {"ref": "bravenoob/mas-data-science-working-book", "kernel_id": "3951970"}, {"ref": "bravenoob/cas-pml-hs18-final-model", "kernel_id": "3257031"}, {"ref": "bravenoob/cas-pml-hs18-modeling", "kernel_id": "3048021"}, {"ref": "akhileshrai003/baselinemodeling-keown-bfe279", "kernel_id": "3140706"}, {"ref": "bigswimatom/99th-ensemble-8-model", "kernel_id": "3546619"}, {"ref": "bigswimatom/ensemble-8-model", "kernel_id": "3404048"}, {"ref": "dwchen/loading-the-metadata-and-sentiment", "kernel_id": "3413052"}, {"ref": "rookzeno/ensemble-other-people-kernel", "kernel_id": "3333119"}, {"ref": "shikha130vv/pet-finder-using-pytorch-and-bert-api", "kernel_id": "3151030"}, {"ref": "hugoboum/petfinder-comp", "kernel_id": "3336970"}, {"ref": "nadare/xlearn-model-cv-42-lb", "kernel_id": "3444676"}, {"ref": "nadare/72nd-place-key-points", "kernel_id": "3559953"}, {"ref": "aruchomu/petfinder-my-adoption-prediction-solution", "kernel_id": "3655122"}, {"ref": "woshikafei/interesting-pair-of-pets", "kernel_id": "3230972"}, {"ref": "xiaolan666/find-images-feature", "kernel_id": "3163227"}, {"ref": "rabbitism/data-exploration-with-spark", "kernel_id": "3443085"}, {"ref": "appian/let-s-find-out-duplicate-images-with-imagehash", "kernel_id": "3210421"}, {"ref": "appian/implementing-image-feature-extraction-in-pytorch", "kernel_id": "3245834"}, {"ref": "matsuik/stratifiedgroupkfold-stratified-groupcv", "kernel_id": "3397768"}, {"ref": "kaerunantoka/extract-cute-binary-features-with-pytorch", "kernel_id": "3352973"}, {"ref": "akanumur/random-forest-r", "kernel_id": "3653671"}, {"ref": "akanumur/adoption-speed-based-on-non-image-data", "kernel_id": "3342592"}, {"ref": "lorevala/combination-lgbm-mlp", "kernel_id": "3057864"}, {"ref": "zaharch/fastai-simplest-tabular-model", "kernel_id": "3019030"}, {"ref": "zaharch/minimizing-qwk-directly-with-nn", "kernel_id": "3103005"}, {"ref": "joonasmaanonen/practice-rf-by-a-new-kaggler", "kernel_id": "3075454"}, {"ref": "s3rg388/fork-of-kernel4337896d9e", "kernel_id": "3034285"}, {"ref": "mgranada/a-look-at-the-pets-name-does-it-have-one", "kernel_id": "3177813"}, {"ref": "mgranada/study-of-age-in-the-prospect-of-animal-adoption", "kernel_id": "3114390"}, {"ref": "mohittripathi/catboost-v2", "kernel_id": "3024250"}, {"ref": "masterscrat/crash-course-what-you-need-to-know-to-compete", "kernel_id": "3373035"}, {"ref": "masterscrat/detect-if-notebook-is-running-interactively", "kernel_id": "3503434"}, {"ref": "masterscrat/monitoring-system-usage", "kernel_id": "3504202"}, {"ref": "zhoujcc/3-21-lgb", "kernel_id": "3013851"}, {"ref": "kunrui/hututu-lgbm-kernel-v2", "kernel_id": "3323156"}, {"ref": "kiaragitoto/simple-random-forest-try", "kernel_id": "3292496"}, {"ref": "szuhuas/vgg16", "kernel_id": "3326181"}, {"ref": "numarkevich/the-most-beautiful-kernel", "kernel_id": "3220256"}, {"ref": "raquelcl/testando-alguns-modelos", "kernel_id": "3643426"}, {"ref": "fowobajek/pet-finder-prediction-with-keras", "kernel_id": "3232876"}, {"ref": "ritvik169/petfinder-my", "kernel_id": "3110208"}, {"ref": "choina02/my-first-kaggle-using-xgboost", "kernel_id": "3589317"}, {"ref": "yanransmiles/kernelc7c6453b53", "kernel_id": "3108924"}, {"ref": "jshen97/petfinder-final-submission", "kernel_id": "3408604"}, {"ref": "jshen97/a-baseline-submission-with-random-forest-model", "kernel_id": "3251560"}, {"ref": "olivbau/petfinder-olivbau", "kernel_id": "3076355"}, {"ref": "kushpal/kernel73971049d2", "kernel_id": "3139359"}, {"ref": "jatindholakia/notebook", "kernel_id": "3358989"}, {"ref": "darkhorsecodes/simple-random-forest-classification-baseline", "kernel_id": "3000318"}, {"ref": "nawidsayed/efficient-sentiment-and-metadata-extractor", "kernel_id": "3333626"}, {"ref": "juliusmannes/just-mlip-things-final-kernel", "kernel_id": "3256632"}, {"ref": "brandonchan/bran-s", "kernel_id": "3154191"}, {"ref": "vineeladumpa/pet-finder-predictions", "kernel_id": "3165425"}, {"ref": "iviescar/petsdatamining", "kernel_id": "3302932"}, {"ref": "iviescar/exploratory-test-clustering-tree", "kernel_id": "3227713"}, {"ref": "iviescar/nn-svm", "kernel_id": "3662668"}, {"ref": "abbysova/updated-project-4", "kernel_id": "3293239"}, {"ref": "delta7564/regresi-n-logistica", "kernel_id": "3450900"}, {"ref": "delta7564/ht7-ann", "kernel_id": "3685652"}, {"ref": "delta7564/ht7-svm-radial-pol", "kernel_id": "3686279"}, {"ref": "alv16106/analisis-exploratorio", "kernel_id": "3212249"}, {"ref": "alv16106/regresion-lineal", "kernel_id": "3247459"}, {"ref": "alv16106/naive-bayes", "kernel_id": "3324350"}, {"ref": "pabloviana/ht-petfinder", "kernel_id": "3182130"}, {"ref": "dditucci/simpleeda-petfinder", "kernel_id": "3179802"}, {"ref": "javozuvg/pets-analysis", "kernel_id": "3190159"}, {"ref": "javozuvg/bayes", "kernel_id": "3302970"}, {"ref": "javozuvg/rna-svm", "kernel_id": "3662571"}, {"ref": "sergiomarchena/ht3-petfinder-675f86", "kernel_id": "3223556"}, {"ref": "alatortrix/practice-with-predictions", "kernel_id": "3199843"}, {"ref": "alatortrix/kernel79b1ad3487", "kernel_id": "3662640"}, {"ref": "horduzenko/test1", "kernel_id": "3221213"}, {"ref": "horduzenko/kernel177424b66f", "kernel_id": "3221454"}, {"ref": "men15002/petshopuvg15000", "kernel_id": "3228175"}, {"ref": "jky594176/justtrysth", "kernel_id": "3573605"}, {"ref": "lucamassaron/understanding-petfinder-my-solution", "kernel_id": "4119334"}, {"ref": "lucamassaron/exploration-of-data-step-by-step", "kernel_id": "4214116"}, {"ref": "donatastamosauskas/petfinder-vilnius-school-of-ai", "kernel_id": "4753058"}, {"ref": "vite99999/petfinder", "kernel_id": "4654084"}, {"ref": "bravenoob/mas-keras", "kernel_id": "4034400"}, {"ref": "bravenoob/mas-keras-kappa", "kernel_id": "4893347"}, {"ref": "bravenoob/mas-keras-dataframe", "kernel_id": "4703768"}, {"ref": "jesucristo/private-lb-simulation-i", "kernel_id": "4862037"}, {"ref": "belsdiniz/petfinder-rl-gbm-xgboost", "kernel_id": "4339570"}, {"ref": "lhd0430/pet-adoption-prediction", "kernel_id": "5797008"}, {"ref": "bravenoob/mas-image-segmentation", "kernel_id": "5299001"}, {"ref": "bravenoob/submit-mask-rcnn", "kernel_id": "5346232"}, {"ref": "bravenoob/mas-image-segmentation-rcnn", "kernel_id": "5368838"}, {"ref": "bravenoob/mas-image-segmentation-test-data", "kernel_id": "5368904"}, {"ref": "bravenoob/instance-segmentation-mmdetection", "kernel_id": "5384904"}, {"ref": "bravenoob/hu-moments-maskrcnn-benchmark", "kernel_id": "5397042"}, {"ref": "bravenoob/8th-place-solution-code", "kernel_id": "5433644"}, {"ref": "bravenoob/sentiment-analyse-mas-image-captioning", "kernel_id": "5524736"}, {"ref": "bravenoob/tfidf-mas-image-captioning", "kernel_id": "5503086"}, {"ref": "bravenoob/area-hu-moments-maskrcnn-benchmark", "kernel_id": "5459946"}, {"ref": "bravenoob/mas-image-captioning", "kernel_id": "5458321"}, {"ref": "vumichien/ml2-final-projects", "kernel_id": "5988472"}, {"ref": "suyee97/baselinemodeling", "kernel_id": "5973272"}, {"ref": "saranyashalya/eda-baseline-analysis", "kernel_id": "6481344"}, {"ref": "huikang/pbs-dataframe", "kernel_id": "6397538"}, {"ref": "vothikimanh/kernelaf4f21452c", "kernel_id": "6972267"}, {"ref": "jagannathrk/petfinder-baselinemodeling", "kernel_id": "7009846"}, {"ref": "bminixhofer/how-bestpetting-cheated", "kernel_id": "7471346"}, {"ref": "wakamezake/stratified-group-k-fold-cross-validation", "kernel_id": "7757139"}, {"ref": "vshakhray/dls-petfinder", "kernel_id": "7007784"}, {"ref": "macespinoza/pet-extraccion", "kernel_id": "7891737"}, {"ref": "myounus/petfinder-my-adoption-prediction", "kernel_id": "7492407"}, {"ref": "ntson1711/petfinder", "kernel_id": "7121397"}, {"ref": "vothikimanh/petfinder-dec2019", "kernel_id": "7037375"}, {"ref": "misakrug/dls-petfinder", "kernel_id": "7974341"}, {"ref": "chaerink/petadoption-v1", "kernel_id": "8132497"}, {"ref": "smirnovivan/pet-adoption", "kernel_id": "8324861"}, {"ref": "darwinwin/petfinder-h2o-automl-combined", "kernel_id": "8099303"}, {"ref": "darwinwin/humanifyai-petfinder-automl-h2o-package", "kernel_id": "8131013"}, {"ref": "willpeterson/kernel5d81b55568", "kernel_id": "8254059"}, {"ref": "reederickson/kernel63151c8e43", "kernel_id": "8314327"}, {"ref": "lcsalves1995/puc-mg-lcsalves", "kernel_id": "9710576"}, {"ref": "debskilukasz/petfinder-pet-adoption-prediction", "kernel_id": "9571303"}, {"ref": "christopherschroeder/unit-3", "kernel_id": "9978693"}, {"ref": "christopherschroeder/unit-3-3rd", "kernel_id": "9978482"}, {"ref": "abhilash21/pet-adoption-speed-prediction", "kernel_id": "10344505"}, {"ref": "alex478/petfinder", "kernel_id": "10092586"}, {"ref": "oswaldoo/petfinder", "kernel_id": "10907906"}, {"ref": "anthonyhansen/unit-3", "kernel_id": "10025695"}, {"ref": "shivamsouravjha/petfinder-using-ann", "kernel_id": "11065731"}, {"ref": "nickel/modelos-de-base", "kernel_id": "12636844"}, {"ref": "nickel/loop-de-b-squeda-de-hiperparametros", "kernel_id": "12789602"}, {"ref": "wakamezake/petfinder-sample-pipeline", "kernel_id": "12702032"}, {"ref": "wakamezake/petfinder-sample-1", "kernel_id": "12664706"}, {"ref": "wakamezake/petfinder-sample-2", "kernel_id": "12665654"}, {"ref": "wakamezake/extract-image-features-from-pretrained-nn", "kernel_id": "12699633"}, {"ref": "wakamezake/petfinder-sample-3", "kernel_id": "12686710"}, {"ref": "wakamezake/petfinder-sample-4", "kernel_id": "12686805"}, {"ref": "andressalinas/loop-de-busqueda", "kernel_id": "12789631"}, {"ref": "germankarpman/loop-b-squeda-de-hiperparametros", "kernel_id": "12652923"}, {"ref": "hamonk/let-s-find-out-duplicate-images-with-imagehash", "kernel_id": "13585880"}, {"ref": "ingrjhernandez/loop-de-b-squeda-de-hiperparametros", "kernel_id": "13090831"}, {"ref": "dipuchandra/cse499b", "kernel_id": "13339465"}, {"ref": "davidmora/tfg-pet-adoption-eda", "kernel_id": "14606648"}, {"ref": "tgibbons/tom-version-recorded", "kernel_id": "15642690"}, {"ref": "tiskutis/capstone3", "kernel_id": "15563427"}, {"ref": "davidmora/tfg-pet-adoption-fe-fss", "kernel_id": "15703260"}, {"ref": "nickuzmenkov/pp2021-duplicates-revealing", "kernel_id": "15688692"}, {"ref": "madisonlindquist/notebook618d661be1", "kernel_id": "15498587"}, {"ref": "rawan21/project-baselinemodeling", "kernel_id": "16964090"}, {"ref": "rawan21/tabular-text-sentimet-imgfeatures-svd-10", "kernel_id": "16994941"}, {"ref": "rawan21/notebook689a05ed78", "kernel_id": "16914495"}, {"ref": "mohamedtaha7/baselinemodeling-working-version", "kernel_id": "16723343"}, {"ref": "tiskutis/petfinder-adoption-prediction", "kernel_id": "16201528"}, {"ref": "faridsharaf/cnn-model", "kernel_id": "16956835"}, {"ref": "moemenalaa97/pet-finder-text", "kernel_id": "16833078"}, {"ref": "tototohpl/eda-petfinder", "kernel_id": "16937029"}, {"ref": "tototohpl/notebook8f5f0a39ed", "kernel_id": "16607151"}, {"ref": "tototohpl/notebook65501366cc", "kernel_id": "16607218"}, {"ref": "omarswelam/petfinder-tabular-and-setniment", "kernel_id": "16834663"}, {"ref": "bachhieu/petfinder", "kernel_id": "16606567"}, {"ref": "vanmanhpbc1998/petfinder-nguyen-van-manh", "kernel_id": "16606997"}, {"ref": "gteekaggle/petfinder-exploratory-data-analysis-train-data", "kernel_id": "17038386"}, {"ref": "stavcohen/petfinder-eda-xgbst-adabst-cnn-bert-insights", "kernel_id": "17372124"}, {"ref": "faridsharaf/tabular-and-sentiment-data-with-lgbm", "kernel_id": "17016126"}, {"ref": "moemenalaa97/petfinder", "kernel_id": "17017319"}, {"ref": "tototohpl/th-nghi-m", "kernel_id": "17294003"}, {"ref": "tototohpl/data-processing", "kernel_id": "17584710"}, {"ref": "tototohpl/train", "kernel_id": "17562205"}, {"ref": "nadaabosreea/petfinder-dl", "kernel_id": "17017407"}, {"ref": "victorwctsang/petfinder-logistic-regression", "kernel_id": "18631782"}, {"ref": "davidmora/tfg-pet-adoption-hpt-models", "kernel_id": "18035263"}, {"ref": "pabloa/pet-finder-script-inicial", "kernel_id": "20967050"}, {"ref": "nur988/pet-paw", "kernel_id": "20866738"}, {"ref": "nickel/pet-finder-primer-modelo", "kernel_id": "21181773"}, {"ref": "nickel/pet-finder-optimizacion-hyper-par-metros", "kernel_id": "21328828"}, {"ref": "ichen97/pet-adoption-analysis-lr-vs-nn", "kernel_id": "21037789"}, {"ref": "abebe9849/duplicate-images", "kernel_id": "21729949"}, {"ref": "smartsolutaris/pet-finder-analysis-and-model-evaluation", "kernel_id": "21396805"}, {"ref": "nullyousee/train-model-with-exeternal-datasets", "kernel_id": "21358576"}, {"ref": "alexvishnevskiy/breed-identification", "kernel_id": "21842352"}, {"ref": "maximilianobiga/pet-finder-eda", "kernel_id": "21438414"}, {"ref": "pabloa/consignas-de-entrega-tp-final", "kernel_id": "22523910"}, {"ref": "oadeclerk/con-sentiment-analysis", "kernel_id": "22780128"}, {"ref": "ttkagglett/petfinder-make-pseudolabel-dataset", "kernel_id": "22768934"}, {"ref": "lonnieqin/petfinder-adoption-speed-prediction-with-catboost", "kernel_id": "22672370"}, {"ref": "guillermoepszteyn/consignas-de-entrega-tp-final-2a7cdb", "kernel_id": "22728632"}, {"ref": "rafaguilarp/consignas-de-entrega-tp-final", "kernel_id": "22711418"}, {"ref": "matiasbalian/notebookd869a45ae3", "kernel_id": "22754550"}, {"ref": "matiasbalian/pet-finder-primer-modelo", "kernel_id": "22589163"}, {"ref": "ignaciodzanelli/consignas-de-entrega-tp-final", "kernel_id": "22524124"}, {"ref": "nicolsgentile/tp-final-labo-2", "kernel_id": "22540669"}, {"ref": "florfederico/consignas-de-entrega-tp-final", "kernel_id": "22524106"}, {"ref": "josignaciosegret/consignas-de-entrega-tp-final", "kernel_id": "22524358"}, {"ref": "tkm2261/ensembles-122", "kernel_id": "23034528"}, {"ref": "pokmppokmp/train-swin384-models", "kernel_id": "23509245"}, {"ref": "syhens/fork-cat-dog-try-ensemble-golden-method", "kernel_id": "23679150"}, {"ref": "syhens/fork-of-fork-cat-dog-try-ensemble-golden-me", "kernel_id": "23701968"}, {"ref": "ttkagglett/petfinder-cnn-semi-supervised-training-fastai", "kernel_id": "23351409"}, {"ref": "ktakita/0113-2nd-stage-gbdt-fixed-w-newmodels3", "kernel_id": "23849130"}, {"ref": "chumajin/play-with-image-embedding", "kernel_id": "24226629"}, {"ref": "fedemendezca/tp-final-laboratorio-de-implementaci-n-2-fmc-pm", "kernel_id": "24656375"}, {"ref": "mickwonjae/petfinder-adoption-speed-prediction-with-catboost", "kernel_id": "24447631"}, {"ref": "noxidrw/williamdixon", "kernel_id": "25416694"}, {"ref": "ryosukeyakura/lightgbm", "kernel_id": "25539898"}, {"ref": "johnwillcox/notebook7496488236", "kernel_id": "25999808"}, {"ref": "ayoubeddakhly/petfinder-simple-lgbm", "kernel_id": "25979939"}, {"ref": "daniellekramer/cis-6115-unit-3-mini-project", "kernel_id": "27828063"}, {"ref": "joannnadi1/cis-6115-pet-finder-jn", "kernel_id": "27861941"}, {"ref": "vadimosipov74/dls-petfinder", "kernel_id": "30199061"}, {"ref": "josebonadero/pet-finder-script-inicial", "kernel_id": "30907659"}, {"ref": "fernandoparodi/pet-finder-script-inicial", "kernel_id": "30907897"}, {"ref": "nickel/fork-of-pet-finder-primer-modelo", "kernel_id": "31402541"}, {"ref": "teresaboca/pet-finder-script-inicial-be889c", "kernel_id": "31104368"}, {"ref": "josebonadero/pet-finder-primer-modelo", "kernel_id": "31402199"}, {"ref": "josebonadero/fork-of-pet-finder-primer-modelo", "kernel_id": "31635657"}, {"ref": "fernandoparodi/fork-of-pet-finder-primer-modelo", "kernel_id": "31636379"}, {"ref": "fernandoparodi/pet-finder-primer-modelo", "kernel_id": "31402014"}, {"ref": "sebastinmuruaga/pet-finder-primer-modelo", "kernel_id": "31402090"}, {"ref": "muhammadgulraiz/random-forest-r", "kernel_id": "32603142"}, {"ref": "santiagodellachiesa/grupo-6", "kernel_id": "32973286"}, {"ref": "nickel/ex-men-lab-ii", "kernel_id": "33617911"}, {"ref": "nickel/ex-men-cema", "kernel_id": "33072189"}, {"ref": "santiagodellachiesa/test-labo-2", "kernel_id": "33119315"}, {"ref": "nickel/examen-lab-ii-preprocesado-texto", "kernel_id": "34175040"}, {"ref": "nickel/examen-lab-ii-preprocesado-img", "kernel_id": "34154798"}, {"ref": "emilianodorado/ex-men-lab-ii", "kernel_id": "35348649"}, {"ref": "alejandrochain/lab-ii-submission-chain", "kernel_id": "35515020"}, {"ref": "alejandrochain/lab-ii-img-preprocessing-hyperopt-chain", "kernel_id": "35384118"}, {"ref": "facundoazargonzlez/final-labo-ii-facundo-azar-gonzalez", "kernel_id": "35482419"}, {"ref": "sumanthsaadam/mywork", "kernel_id": "35922295"}, {"ref": "riyaelizashaju/beginner-feature-engineering-tensorflow", "kernel_id": "35728293"}, {"ref": "carleylunzerkerr/notebook4d3613db58", "kernel_id": "35475306"}, {"ref": "ananyasood02/petfinder-co", "kernel_id": "37380061"}, {"ref": "ananyasood02/petfinder-modelfitting", "kernel_id": "37387479"}, {"ref": "ananyasood02/petfinder-my-detailed-eda-and-xgboost-baseline", "kernel_id": "37386709"}, {"ref": "wadudambali/notebookfe9b21764a", "kernel_id": "39305982"}, {"ref": "lechuck666/laboratorio-2-pets-competition", "kernel_id": "40773761"}, {"ref": "suraj520/decisiontrees-know-fit-infer", "kernel_id": "40319274"}, {"ref": "matiasdgarcia/consignas-de-entrega-tp-final", "kernel_id": "40773121"}, {"ref": "fercoz/labo-ii-final-grupo-4", "kernel_id": "40773673"}, {"ref": "kaggleaustral/consignas-de-entrega-tp-final", "kernel_id": "40739116"}, {"ref": "lucascardenas/consignas-de-entrega-tp-final-210e63", "kernel_id": "41009959"}, {"ref": "mibassan/consignas-de-entrega-tp-final-mica", "kernel_id": "41002785"}, {"ref": "kaggleaustral/consignas-de-entrega-tp-final-grupo-3", "kernel_id": "41034252"}, {"ref": "gonzalezsn/ex-menlaboratorio2-modeladoprincipal-sng", "kernel_id": "42953488"}, {"ref": "nickel/labii2023", "kernel_id": "43925437"}, {"ref": "gonzalezsn/ex-menlaboratorio2-textprocessing-sng", "kernel_id": "43297114"}, {"ref": "gonzalezsn/ex-menlaboratorio2-imageprocessing-sng", "kernel_id": "43298001"}, {"ref": "bernaber/clase-1-modulo-4", "kernel_id": "43925523"}, {"ref": "jerkojose/grupo-2-diplomatura-austral-tp-1", "kernel_id": "44734160"}, {"ref": "vnduycao/xgb-neunet-lstm-petadoptionspeed", "kernel_id": "44559705"}, {"ref": "nickel/mcd-labii2023", "kernel_id": "46001257"}, {"ref": "wakamezake/petfinder-sample-pipeline2", "kernel_id": "46020559"}, {"ref": "facundomartinez/sentimiento-texto", "kernel_id": "46773087"}, {"ref": "facundomartinez/notebooke17ff17f94", "kernel_id": "46001320"}, {"ref": "juanpabloanselmo/01-creacion-dataset-2023-jamv", "kernel_id": "46404981"}, {"ref": "juanpabloanselmo/02-b-squeda-de-hiperparametros-2023-jamv", "kernel_id": "46803552"}, {"ref": "juanpabloanselmo/03-submit-2023-jamv", "kernel_id": "46807474"}, {"ref": "solbarbera/mcd-clase-7", "kernel_id": "46770236"}, {"ref": "solbarbera/clase-6-labii2023", "kernel_id": "46381588"}, {"ref": "hugocontreras82/ex-men-lab-ii", "kernel_id": "46772747"}, {"ref": "hugocontreras82/pet-finder-examen-v-01", "kernel_id": "46948831"}, {"ref": "facundomartinez/ex-men-lab-ii-benassi-martinez-rodriguez-urtubey", "kernel_id": "47168425"}, {"ref": "facundomartinez/mcd-labii2023-examen", "kernel_id": "47120186"}, {"ref": "facundomartinez/fe-pet-adoption", "kernel_id": "47371385"}, {"ref": "diegolopezchuello/ex-men-lab-ii-v-01", "kernel_id": "47429760"}, {"ref": "arielbaez/ex-men-lab-ii-c95f8f", "kernel_id": "47168400"}, {"ref": "vielmaj182/script-2-analisis-de-texto-img", "kernel_id": "47376158"}, {"ref": "hugocontreras82/ex-men-lab-ii-v-01", "kernel_id": "47325156"}, {"ref": "xiejiale/fork-of-0113-2nd-stage-gbdt-fixed-w-newmodels3", "kernel_id": "48051121"}, {"ref": "anushkagupta1331/black-white-to-color-image-using-dl", "kernel_id": "49025969"}, {"ref": "peterznw/ptw-cnn-pet-adoption", "kernel_id": "51086011"}, {"ref": "gee1818/notebookeb660a71d9", "kernel_id": "65475525"}, {"ref": "gee1818/laboii-images", "kernel_id": "65482813"}, {"ref": "gee1818/labo-ii-text", "kernel_id": "66215008"}, {"ref": "ivancelaye/notebook-competencia", "kernel_id": "68116422"}, {"ref": "biancanovaresse/petfinder-intento", "kernel_id": "68883499"}, {"ref": "milagrospalud/modulo-4", "kernel_id": "68444294"}, {"ref": "martincancelas/mcd-laboratorio-ii", "kernel_id": "68116415"}, {"ref": "nanogarciavildoza/notebook7357b77c2a", "kernel_id": "68444369"}, {"ref": "agustinamusuruana2/petadoption-v-clases", "kernel_id": "69191155"}, {"ref": "biancanovaresse/mcd-labii2023-bian", "kernel_id": "70135493"}, {"ref": "biancanovaresse/ex-men-lab-ii-bian", "kernel_id": "70135870"}, {"ref": "marianotaha/imagenes-labo2-landgrebe-soto-taha", "kernel_id": "71879621"}, {"ref": "marianotaha/texto-labo2-landgrebe-soto-taha", "kernel_id": "71871600"}, {"ref": "marianotaha/final-labo2-landgrebe-soto-taha", "kernel_id": "71935401"}, {"ref": "martincancelas/mcd-laboratorio-ii-preprocesamiento-img", "kernel_id": "71436006"}, {"ref": "martincancelas/mcd-laboratorio-ii-preprocesamiento-texto", "kernel_id": "71436053"}, {"ref": "juanmanuelfilipuzzi/mcd-austral-labo2-compilado", "kernel_id": "71635695"}, {"ref": "juanmanuelfilipuzzi/image-proces-clip", "kernel_id": "71639713"}, {"ref": "juanmanuelfilipuzzi/text-proces-embeding-bert", "kernel_id": "71695437"}, {"ref": "taimin/petfinder-regression-trial-2", "kernel_id": "72153216"}, {"ref": "taimin/petfinder-regression-xgb", "kernel_id": "72124537"}, {"ref": "amirsadrnia/petfinder", "kernel_id": "87866322"}, {"ref": "vladypopov/notebook51f794f4e8", "kernel_id": "88812264"}, {"ref": "dmitryvolovikov/petfinder-my-adoption-training", "kernel_id": "90541843"}, {"ref": "nickel/dcda-2025-2", "kernel_id": "95838100"}, {"ref": "monetneva/gwc-intro-to-ml-petfinder-adoption-speed", "kernel_id": "95865370"}, {"ref": "nickel/mdm-2025", "kernel_id": "96449654"}, {"ref": "phangyesheng/using-multimodal-embeddings-and-transformer", "kernel_id": "96462625"}, {"ref": "victoriarsseler/dcda-2025-2-b39ef5", "kernel_id": "96864786"}, {"ref": "florenciablanco/entrega-final-battaglia-blanco-y-reinoso", "kernel_id": "97166005"}, {"ref": "sergioromero24/dcda-2025-2", "kernel_id": "97891191"}, {"ref": "tomasnicanorguevara/examen-lab-ii-t-mejor-version", "kernel_id": "101814514"}, {"ref": "florenciablanco/notebook-pet-adoption", "kernel_id": "102819640"}, {"ref": "agustinafranco/ex-men-lab-ii-franco-fontan-nuevo", "kernel_id": "102817463"}, {"ref": "agustinafranco/examen-lab-ii-preprocesado-texto-franco-fontan", "kernel_id": "102822118"}, {"ref": "yasminemassoudi/finmypet", "kernel_id": "102976239"}, {"ref": "yasminemassoudi/03-similarity-search", "kernel_id": "102974422"}, {"ref": "yasminemassoudi/02-feature-extraction", "kernel_id": "102957240"}, {"ref": "yasminemassoudi/1-finmypet-dataset-exploration", "kernel_id": "102943900"}, {"ref": "nataliariera/procesamiento-text-nr", "kernel_id": "102260551"}, {"ref": "tomasnicanorguevara/examen-lab-2-tomas-preprocesamiento-text", "kernel_id": "102463352"}, {"ref": "tomasnicanorguevara/examen-lab-ii-tomas-preprocesamiento-img", "kernel_id": "102463268"}, {"ref": "tomasnicanorguevara/examen-lab-2-tomas", "kernel_id": "102466118"}, {"ref": "victorruiz67/examen-lab-ii-preprocesado-texto-entrega-final", "kernel_id": "102899516"}, {"ref": "victorruiz67/examen-lab-ii-preprocesado-img-entrega-final", "kernel_id": "102899552"}, {"ref": "victorruiz67/ex-men-lab-ii-entrega", "kernel_id": "102899564"}, {"ref": "gamzebabayigit/petfinder", "kernel_id": "102996180"}, {"ref": "agustinbattaglia/final-labo", "kernel_id": "102817277"}, {"ref": "emiliagarmendia/examen-lab-ii-emilia-preprocesado-img", "kernel_id": "102397353"}, {"ref": "sarahchalup/ex-men-lab-ii-entrega-v2", "kernel_id": "102921428"}, {"ref": "gaspargw/tp-final-lab2-2025", "kernel_id": "103182528"}, {"ref": "agustinafranco/examen-lab-ii-preprocesado-img-franco-fontan", "kernel_id": "103117673"}, {"ref": "agustinafranco/fork-of-ex-men-lab-ii-franco-fontan-nuevo", "kernel_id": "103507632"}, {"ref": "lucaspessagno/tp-lab2-2025-v4", "kernel_id": "103468743"}, {"ref": "giulianaalvaro/examen-final-labo-ii", "kernel_id": "103474434"}, {"ref": "giulianaalvaro/examen-labo-ii-sin-optimizar", "kernel_id": "103399704"}, {"ref": "tomasnicanorguevara/examen-lab-ii-guevara-bertolli", "kernel_id": "103072140"}, {"ref": "exequielherrera7/tp-final-lab-2-maestr-a-austral", "kernel_id": "103125396"}, {"ref": "exequielherrera7/tp-final-img-lab-2-maestr-a-austral", "kernel_id": "103016247"}, {"ref": "exequielherrera7/tp-final-texto-lab-2-maestr-a-austral", "kernel_id": "103021368"}, {"ref": "exequielherrera7/tp-final-gral-lab-2-maestr-a-austral", "kernel_id": "103500837"}, {"ref": "sarahchalup/examen-lab-ii-preprocesado-texto-entrega-final-v2", "kernel_id": "103386011"}, {"ref": "roxanavaninanatalino/ex-menfinallab-ii-mejoradop4-roxananatalino", "kernel_id": "103476585"}, {"ref": "sunshengyuu/notebook9369870adb", "kernel_id": "111323202"}, {"ref": "hazelkumomi/notebook-pet-adoption", "kernel_id": "111302984"}, {"ref": "oksanaborysenko/notebook37e67f60c9", "kernel_id": "118914447"}, {"ref": "axellarusert/notebookc059c65d22", "kernel_id": "120582894"}]}
{"competition_id": "10690", "kernels": []}
{"competition_id": "10694", "kernels": [{"ref": "rodrago/pmr3508-2018-0bd65dd5e3-spam", "kernel_id": "1817821"}, {"ref": "fehitasi/pmr-ex5", "kernel_id": "1817750"}, {"ref": "fernandokm/email-spam", "kernel_id": "1817172"}, {"ref": "otvmonteiro/d7465a13af", "kernel_id": "1798453"}, {"ref": "vjinsi/kernel4bb7c275cf", "kernel_id": "1816976"}, {"ref": "vjinsi/spambase-pmr3508-2018-888f957e99", "kernel_id": "1817044"}, {"ref": "pedrocarvalhaes/base-spambase-knn-e-naive-bayes", "kernel_id": "1816685"}, {"ref": "felipegdm/pmr3508-2018-tarefa2", "kernel_id": "1714315"}, {"ref": "rafaelafonso/pmr3508-2018-4c9fe55eab-spambase", "kernel_id": "1797701"}, {"ref": "rafabl/spam-ham-classifiers", "kernel_id": "1712547"}, {"ref": "indiagolf99/pmr3508-2018-2341c86e07", "kernel_id": "1786860"}, {"ref": "guilhermecmarques/classificador-na-ve-bayes", "kernel_id": "1766506"}, {"ref": "esdonto/pmr3508-2018-1165842557-tarefa-2", "kernel_id": "1817048"}, {"ref": "gustavof/pmr3508-2018-0f13d01361-tarefa-2", "kernel_id": "1811740"}, {"ref": "gustavof/pmr3508-2018-0f13d01361-tarefa-2-antispam", "kernel_id": "1811866"}, {"ref": "henriqueyda/pmr-5f518d7037", "kernel_id": "1760039"}, {"ref": "dueiras/spam-detector-pmr3508-2018-57d6882489", "kernel_id": "1815306"}, {"ref": "brundohisashimi/t2-pmr3508-2018-d6263791f1", "kernel_id": "1824314"}, {"ref": "marcelmk/pmr3508-2018-8849cd6c0e-spamham", "kernel_id": "1810367"}, {"ref": "mguinezi/pmr3508-2018-91dc8aec81", "kernel_id": "1817280"}, {"ref": "salesluiseduardo1/pmr-3508-spam-3c78111399", "kernel_id": "1814834"}, {"ref": "caiofreitas/pmr3508-2018-09361685a6", "kernel_id": "1803078"}, {"ref": "hilstfelipe/spam-pmr3508-2018-4c69ee14bd", "kernel_id": "1806541"}, {"ref": "rmagaldi/tarefa-2-b0013d9fad", "kernel_id": "1816656"}, {"ref": "rmagaldi/tarefa-2-spam-b0013d9fad", "kernel_id": "1816848"}, {"ref": "vmbenevides/pmr3508-2018-9ec6d2de6c-spam", "kernel_id": "1811227"}, {"ref": "thiago8989001/c71e30de50-spam", "kernel_id": "1779179"}, {"ref": "rodrigoep/naive-bayes-knn-comparison", "kernel_id": "1808511"}, {"ref": "pmr3508f20977e697/spam-or-ham-f20977e697", "kernel_id": "1786519"}, {"ref": "lucasangelis2/notebook-pmr3508-2018-3152cda59c", "kernel_id": "1781584"}, {"ref": "daquisu/pmr3508-f40090e12d", "kernel_id": "1798152"}, {"ref": "vhenrique21/pmr3508-tarefa-2-f4fcf75dda", "kernel_id": "1827718"}, {"ref": "luizffs2/tarefa-2-pmr3508-2018-5e0b8369fd", "kernel_id": "1817552"}, {"ref": "fetsai/pmr-naive", "kernel_id": "1815445"}, {"ref": "otaviomserra/spambase-knn-nb-2bc56bd2c1", "kernel_id": "1815745"}, {"ref": "rodrigonarita/pmr3508-atividade-2-c2f703046d", "kernel_id": "1817076"}, {"ref": "palopoli/pmr3508-2018-tarefa-2-f92c77d8dc", "kernel_id": "1808364"}, {"ref": "vinimiquelin/pmr3508-2018-799d425a63-tarefa-2-naive-bayes", "kernel_id": "1802550"}, {"ref": "rafagv/kernel5dc7eaabde", "kernel_id": "1816780"}, {"ref": "kinhasan/tarefa-2-pmr3508", "kernel_id": "1817589"}, {"ref": "renan8429/naive-bayes-58f37c3680", "kernel_id": "1810141"}, {"ref": "gunovello/pmr3508-2018-08dbd26023-spam", "kernel_id": "1811975"}, {"ref": "eduardota/pmr3508-2018-564a67b5fb", "kernel_id": "1793993"}, {"ref": "wssoares/spam-prediction-pmr3508", "kernel_id": "1805966"}, {"ref": "gtutia/pmr-3508-7b88ef8df7", "kernel_id": "1802464"}, {"ref": "fermalavasi/pmr3508-2018-0021b1a4a8-3", "kernel_id": "1816782"}, {"ref": "galopes/spambase-classifier", "kernel_id": "1816737"}, {"ref": "vkiguchi/notebook", "kernel_id": "1809883"}, {"ref": "adrianoarouck/naive-bayes-pmr3508-2018-8d5330733e", "kernel_id": "1817196"}, {"ref": "kikomaru/kernel224f5dc751", "kernel_id": "1726763"}, {"ref": "fabiookina/pmr3508-2018-25ff54ec4f-spam", "kernel_id": "1817300"}, {"ref": "gabrieloliva18/tarefa-2-f7551d72e4", "kernel_id": "1790849"}, {"ref": "pmrdisciplina/tarefa-2-pmr3508-d8c972cdfb", "kernel_id": "1810138"}, {"ref": "luangbbr/kernelb000c00666", "kernel_id": "1816639"}, {"ref": "alexandrehoppeinoue/kernel13d572a66e", "kernel_id": "1816892"}, {"ref": "monizearabadgi/pmr3508-2018-41b596d861", "kernel_id": "1738528"}, {"ref": "luisaheise/ham-spam-naive-bayes", "kernel_id": "1817626"}, {"ref": "miura99/pmr3508-t2-dfc4b955cd", "kernel_id": "1817104"}, {"ref": "rejaili/pmr3508-2018-e32fc8f41f-spamclassifier", "kernel_id": "1671658"}, {"ref": "jujuba01/spam-ou-ham-v4-0db8b4dac0-pmr3508", "kernel_id": "1774984"}, {"ref": "elkose/pmr3508-2018-58cdb1c0be-spam", "kernel_id": "1816392"}, {"ref": "vitorhdpmr/spambase-pmr3508-2018-9931744caa", "kernel_id": "1816109"}, {"ref": "gabrielbianchi/tarefa-spam-base", "kernel_id": "1810806"}, {"ref": "danieldiasfl/pmr-3508-2018-19e9f487b6-tarefa-2", "kernel_id": "1795751"}, {"ref": "pmr3508616894bf66/616894bf66", "kernel_id": "1817877"}, {"ref": "rodrigoobastos/detec-o-de-spam", "kernel_id": "1781286"}, {"ref": "alysonharo/pmr3508-2018-399c14ff12-2", "kernel_id": "1811963"}, {"ref": "alysonharo/kernelf5e312269d", "kernel_id": "1811855"}, {"ref": "aledenigres/pmr3508-trabalho-2-spambase", "kernel_id": "1816958"}, {"ref": "marcusfpavani/pmr3508-marcuspavani-spambase-csv", "kernel_id": "1796052"}, {"ref": "guilhermepaina/pmr3508-t2-identificador-de-spam", "kernel_id": "1817755"}, {"ref": "pedro2318/pmr3508-2018-66f39f7a58-tarefa2", "kernel_id": "1780308"}, {"ref": "lucaspenna00/classificador-de-spam", "kernel_id": "1708638"}, {"ref": "aezequieljr/pmr3508-2018-b3f8134e02-atv2", "kernel_id": "1810016"}, {"ref": "gyborges/kernel6bc25aa653", "kernel_id": "1816535"}, {"ref": "samuelmoncao/pmr3508-kernel07f3fa79b1-analise-spam", "kernel_id": "1816991"}, {"ref": "guimotaa/pmr3508-2018-ed59d147a5", "kernel_id": "1814566"}, {"ref": "akpmr3508/pmr3508-2018-6c890c4f4b-nb", "kernel_id": "1816402"}, {"ref": "ghriqueti/pmr3508-tarefa-2-9345554", "kernel_id": "2083640"}, {"ref": "ghriqueti/kernel47e0a8f0b5", "kernel_id": "2018226"}, {"ref": "diegorodrigues/rec-1-detector-de-spam", "kernel_id": "7423432"}]}
{"competition_id": "10700", "kernels": [{"ref": "liamsch/simple-2d-cnn-classifier-with-pytorch", "kernel_id": "3658757"}, {"ref": "titericz/giba-keras-2-folds-from-scratch-lb-0-501", "kernel_id": "3670962"}, {"ref": "titericz/lightgbm-lb-0-321", "kernel_id": "3615137"}, {"ref": "titericz/lightgbm-simple-solution-lb-0-203", "kernel_id": "3609209"}, {"ref": "inversion/naive-benchmark", "kernel_id": "3478442"}, {"ref": "christoffer/na-ve-label-based-baseline-curated-only", "kernel_id": "3770529"}, {"ref": "christoffer/lwlwrap", "kernel_id": "3768930"}, {"ref": "christoffer/lwlwrap-utility-script-test", "kernel_id": "3769020"}, {"ref": "riteshsinha/audio-data-analysis-and-convolutional-models", "kernel_id": "3630997"}, {"ref": "simongrest/nsfw-frost-my-cupcakes", "kernel_id": "3722911"}, {"ref": "duvallwh/data-visualizations-electric-guitar-vs-farts", "kernel_id": "3792366"}, {"ref": "cttsai/freesound-audio-tagging-bigru-w-attension", "kernel_id": "3608798"}, {"ref": "cttsai/freesound-audio-tagging-gru-w-attension-starter", "kernel_id": "3603347"}, {"ref": "voglinio/keras-2d-model-5-fold-log-specgram-curated-only", "kernel_id": "3497074"}, {"ref": "deveaup/peace-and-harmony", "kernel_id": "3651426"}, {"ref": "mhiro2/simple-2d-cnn-classifier-with-pytorch", "kernel_id": "3654152"}, {"ref": "tunguz/sample-submission", "kernel_id": "3489535"}, {"ref": "maxwell110/explore-multi-labeled-data", "kernel_id": "3517361"}, {"ref": "maxwell110/beginner-s-guide-to-audio-data-2", "kernel_id": "3490149"}, {"ref": "maxwell110/naive-experiment-on-lb-shakeup", "kernel_id": "3958930"}, {"ref": "shujian/keras-cnn-starter-curated-training-data-only", "kernel_id": "3490639"}, {"ref": "romul0212/freesound-predict-dataset", "kernel_id": "3773483"}, {"ref": "wrosinski/quick-clean-parallel-data-processing", "kernel_id": "3576940"}, {"ref": "wrosinski/custom-augmentations-for-audio-data", "kernel_id": "3708391"}, {"ref": "wrosinski/baseline-resnet-like-keras", "kernel_id": "3677461"}, {"ref": "mrugankakarte/freesound-audio-tagging-kernal-1", "kernel_id": "3643992"}, {"ref": "pluceroo/new-approach-wavelet-packet-decomposition-in-ml", "kernel_id": "3845617"}, {"ref": "davids1992/specaugment-quick-implementation", "kernel_id": "3692829"}, {"ref": "davids1992/audio-representation-what-it-s-all-about", "kernel_id": "3489902"}, {"ref": "davids1992/i-ve-listened-to-the-entire-test-set-bonus", "kernel_id": "3522745"}, {"ref": "peining/simple-cnn-classifier-with-pytorch", "kernel_id": "3693760"}, {"ref": "mryabinin/baseline-for-4", "kernel_id": "3683202"}, {"ref": "carlthome/preprocess-freesound-data-to-train-with-peltarion", "kernel_id": "3893847"}, {"ref": "carlthome/l-lrap-metric-for-tf-keras", "kernel_id": "3942223"}, {"ref": "ashishpatel26/feature-extraction-from-audio", "kernel_id": "3590992"}, {"ref": "rio114/keras-cnn-with-lwlrap-evaluation", "kernel_id": "3714482"}, {"ref": "piyush28/simple-cnn-freesound-audio-detection", "kernel_id": "3862129"}, {"ref": "jramcast/random-predictions-baseline", "kernel_id": "3890117"}, {"ref": "htopper/improving-on-baseline-with-bidirectional-model", "kernel_id": "3525043"}, {"ref": "pkmahan/understanding-lwlrap", "kernel_id": "3930818"}, {"ref": "sailorwei/01explorerdataanalysis", "kernel_id": "3696937"}, {"ref": "sailorwei/fat2019-2d-cnn-with-mixup-lb-0-673", "kernel_id": "3990131"}, {"ref": "baomengjiao/xgb-using-mfcc", "kernel_id": "3879274"}, {"ref": "osciiart/understanding-lwlrap-sorry-it-s-in-japanese", "kernel_id": "3633585"}, {"ref": "osciiart/resnet34-mel-ver3-log-multi-hardaug", "kernel_id": "3764711"}, {"ref": "osciiart/multilabel-stratifiedkfold-by-randomized-algorithm", "kernel_id": "3881709"}, {"ref": "daisukelab/verifying-cnn-models-with-cam-and-etc-fast-ai", "kernel_id": "3530618"}, {"ref": "daisukelab/cnn-2d-basic-solution-powered-by-fast-ai", "kernel_id": "3500121"}, {"ref": "daisukelab/cnn-2d-basic-2-preprocessed-dataset-noisy", "kernel_id": "3574401"}, {"ref": "daisukelab/creating-fat2019-preprocessed-data", "kernel_id": "3705169"}, {"ref": "daisukelab/cnn-2d-basic-3-using-simple-model", "kernel_id": "3676586"}, {"ref": "nathanh12/new-fastai-audio", "kernel_id": "3701302"}, {"ref": "anirudh257/understanding-audio-tag-eda", "kernel_id": "3755000"}, {"ref": "jeremy851004/fat-ncku-null", "kernel_id": "3948443"}, {"ref": "rftexas/converting-sounds-into-images-a-general-guide", "kernel_id": "3974353"}, {"ref": "vinayaks/simple-changes-significant-improvement-in-lb", "kernel_id": "3718271"}, {"ref": "steer70/kernel-convolution1d-naive", "kernel_id": "3699366"}, {"ref": "ratthachat/fat19-mixup-keras-on-preprocesseddata-lb632", "kernel_id": "3778103"}, {"ref": "akashravichandran/audiotag-eda", "kernel_id": "3495234"}, {"ref": "dude431/beginner-s-visualization-and-removing-uniformative", "kernel_id": "3490447"}, {"ref": "lonelygo/cnn-2d-basic-solution-powered-by-fast-ai", "kernel_id": "3760508"}, {"ref": "shubham505/fat19-keras-baseline-on-preprocesseddata-lb576", "kernel_id": "3881209"}, {"ref": "hariswidjaja/freesound-audio-tagging-mfcc-cnn-solution", "kernel_id": "3776983"}, {"ref": "chewzy/gru-w-attention-baseline-model-curated", "kernel_id": "3507540"}, {"ref": "hung96ad/restnet", "kernel_id": "3497759"}, {"ref": "hung96ad/naive-ensemble-model", "kernel_id": "3594454"}, {"ref": "ashirahama/simple-keras-cnn-with-mfcc", "kernel_id": "3490452"}, {"ref": "kbhartiya83/sound-recogniser-bidirectionallstm-attention", "kernel_id": "3574862"}, {"ref": "carlolepelaars/bidirectional-lstm-for-audio-labeling-with-keras", "kernel_id": "3534292"}, {"ref": "talmanr/cnn-with-pytorch-using-mel-features", "kernel_id": "3593246"}, {"ref": "starxcf/sample-submission-all-random", "kernel_id": "3580805"}, {"ref": "jmourad100/keras-eda-and-cnn-starter", "kernel_id": "3487546"}, {"ref": "jazivxt/bumblebee-s-radio", "kernel_id": "3491281"}, {"ref": "datta8899/kernel9520e9e6f4", "kernel_id": "3865819"}, {"ref": "argonalyst/exploring-audio", "kernel_id": "3489059"}, {"ref": "keaganai/just-smile-and-wav-boys-smile-and-wav", "kernel_id": "3782006"}, {"ref": "toldo171/fat-2019-beginner-guide-with-starter-code", "kernel_id": "3592780"}, {"ref": "stanislavblinov/keras-cnn-starter-0-128", "kernel_id": "3494728"}, {"ref": "mchen2412/sound-classification-with-1d-convolution", "kernel_id": "3931939"}, {"ref": "hugoamorim/how-to-read-the-wave-file-in-r", "kernel_id": "3557538"}, {"ref": "sreekanth123/kernel2d7051e849", "kernel_id": "3527004"}, {"ref": "sreekanth123/first-2-py", "kernel_id": "3526859"}, {"ref": "chandramani/sample-inference-submissionkernel", "kernel_id": "4185250"}, {"ref": "kunstmord/look-ma-no-deep-learning", "kernel_id": "4134335"}, {"ref": "simongrest/trainable-pcen-frontend-in-pytorch", "kernel_id": "4584469"}, {"ref": "deepaksinghrawat/in-depth-introduction-to-audio-for-beginners", "kernel_id": "4094884"}, {"ref": "sorokin/spectral-distortion-model", "kernel_id": "4297511"}, {"ref": "guoyang0601/fat19-kfolder-training-fastai-sample", "kernel_id": "4190286"}, {"ref": "tanlikesmath/2d-cnn-high-score", "kernel_id": "4021701"}, {"ref": "neonninja/fast-mfcc-rf-golf", "kernel_id": "4486569"}, {"ref": "ashishsinhaiitr/2d-dense-cnn", "kernel_id": "4223043"}, {"ref": "joelstan/lstm-with-custom-spectrograms", "kernel_id": "4202011"}, {"ref": "vandalko/creating-1ch-fat2019-preprocessed-data", "kernel_id": "4037004"}, {"ref": "vandalko/cnn-pytorch-kfold-mixup-lb0-644", "kernel_id": "4010530"}, {"ref": "vandalko/1ch-mobilenet-pytorch-kfold-mixup-specaug", "kernel_id": "4113643"}, {"ref": "osciiart/resnet34-multi1024", "kernel_id": "4180560"}, {"ref": "osciiart/make-final-submission1", "kernel_id": "4214635"}, {"ref": "osciiart/make-final-submission2", "kernel_id": "4214780"}, {"ref": "osciiart/resnet34multi-mixmatch", "kernel_id": "4069608"}, {"ref": "osciiart/freesound2019-presentation", "kernel_id": "4559806"}, {"ref": "ebouteillon/12th-public-lb-inference-kernel-using-fastai", "kernel_id": "4409763"}, {"ref": "verstand/audio-pytorch", "kernel_id": "4557279"}, {"ref": "vinayaks/2d-cnn-pytorch", "kernel_id": "4174022"}, {"ref": "vinayaks/2d-cnn-high-score", "kernel_id": "4070280"}, {"ref": "vinayaks/2d-cnn-high-score-fast-ai", "kernel_id": "4039513"}, {"ref": "hidehisaarai1213/convnet-noisy-all-pitch-pretraining", "kernel_id": "4006487"}, {"ref": "hidehisaarai1213/freesound-dameoshi-aug-fold12", "kernel_id": "4187793"}, {"ref": "hidehisaarai1213/freesound-dameoshi-aug-fold5", "kernel_id": "4188907"}, {"ref": "hidehisaarai1213/freesound-7th-place-solution", "kernel_id": "4274551"}, {"ref": "shubham505/simple-2d-cnn-pytorch", "kernel_id": "4183048"}, {"ref": "mithlesh14/sound-tagging", "kernel_id": "4875420"}, {"ref": "amirnasir/kernel1", "kernel_id": "4057461"}, {"ref": "amirnasir/kernel2", "kernel_id": "4171524"}, {"ref": "yangsaewon/final-submit", "kernel_id": "4206902"}, {"ref": "theoviel/9th-place-modeling-kernel", "kernel_id": "4281577"}, {"ref": "kaerunantoka/simple-cnn-image-size-299", "kernel_id": "4887483"}, {"ref": "kaerunantoka/distillation-implementation-with-freesound2", "kernel_id": "4887442"}, {"ref": "filipmulier/fit-and-pred-res34-224-ttam-noisy", "kernel_id": "4224222"}, {"ref": "filipmulier/freesound-audio-tagging-prediction-only-kernel", "kernel_id": "4186913"}, {"ref": "pednoi/seeing-and-listening-to-the-sounds-eda", "kernel_id": "4054124"}, {"ref": "toldo171/fat-2019-submit-curated-mixup-tta-kfold", "kernel_id": "4098499"}, {"ref": "sabamotto/fat19-fastai-mixup-multipreprodataset", "kernel_id": "4135579"}, {"ref": "egorsp/best-earthquake-features-and-simple-lgbm", "kernel_id": "4187857"}, {"ref": "vzaguskin/fat-2019-80-place-public-lb-solution-lwlrap-70-2", "kernel_id": "4387837"}, {"ref": "thegrigorian/freesound-code-with-r", "kernel_id": "4082732"}, {"ref": "hakkoomato/proyecto", "kernel_id": "4398070"}, {"ref": "thegrims/aidannotebook", "kernel_id": "6928122"}, {"ref": "adnanzaidi/beginner-s-guide-to-audio-data-2", "kernel_id": "6385494"}, {"ref": "wenzhezhao/beginner-s-guide-to-audio-data-2", "kernel_id": "8087255"}, {"ref": "brahma0545/librosa-test", "kernel_id": "9584878"}, {"ref": "sudarsanvs/free-sound-audio-tagging", "kernel_id": "9585639"}, {"ref": "obione26/data-exploration-and-modeling-with-librosa", "kernel_id": "11198226"}, {"ref": "obione26/fat2019-hdf5-how-to-create-this-dataset", "kernel_id": "11618739"}, {"ref": "obione26/freesound-audio-tagging-feature-extraction", "kernel_id": "11488561"}, {"ref": "onuragmaji2020/curated-without-aug-test", "kernel_id": "11511526"}, {"ref": "wpolatkan/new-fastai-audio", "kernel_id": "13431792"}, {"ref": "ramngulln/versi-n-buena", "kernel_id": "16059917"}, {"ref": "shreyasajal/audio-albumentations-torchaudio-audiomentations", "kernel_id": "17112339"}, {"ref": "zarizky77/submission-2-resnet50", "kernel_id": "21522003"}, {"ref": "goldlike693/plant", "kernel_id": "47401280"}, {"ref": "jtv199/cnn-2d-basic-solution-powered-by-fast-ai", "kernel_id": "94085547"}, {"ref": "evanoleary/alexandria-competition-freesound-audio-ta-319258", "kernel_id": "100794686"}]}
{"competition_id": "10721", "kernels": []}
{"competition_id": "10733", "kernels": [{"ref": "wcukierski/concorde-solver", "kernel_id": "2163156"}, {"ref": "ccccat/scoring-function-r", "kernel_id": "2332256"}, {"ref": "ydhiman/santa-probelm-meanshift-solver-solution", "kernel_id": "2187663"}, {"ref": "grammati/santa-s-leaderboard", "kernel_id": "2314142"}, {"ref": "lopezgd/farthest-insertion-tour-construction", "kernel_id": "2313443"}, {"ref": "ppershing/lkh-bootstrap-rust-fine-tuning", "kernel_id": "2352191"}, {"ref": "montecripto/fast-numpy-tour-evaluation-py", "kernel_id": "2396900"}, {"ref": "pochiblack/submission-test", "kernel_id": "2191153"}, {"ref": "zahedi/clustered-traveling", "kernel_id": "2435783"}, {"ref": "generaldesnouettes/lower-bound-and-path-performance-indicator", "kernel_id": "2570855"}, {"ref": "nagadomi/gpu-shuffle-numba-cuda", "kernel_id": "2381851"}, {"ref": "nagadomi/cpu-shuffle-numba", "kernel_id": "2343436"}, {"ref": "steubk/concorde-monitoring-batch", "kernel_id": "2280051"}, {"ref": "nakapoor/r-soln-as-simple-as-that", "kernel_id": "2266710"}, {"ref": "nakapoor/random-insertion-r-implementation", "kernel_id": "2279309"}, {"ref": "scottclowe/scoring-function-vectorised", "kernel_id": "2174515"}, {"ref": "kambarakun/baseline-simple-nearest-1812602-18", "kernel_id": "2155367"}, {"ref": "kambarakun/scoring-script", "kernel_id": "2157537"}, {"ref": "kambarakun/fast-score-function-script-numpy-vec-prime-list", "kernel_id": "2185453"}, {"ref": "dkozyr/min-circle-naive-approach-with-permutations", "kernel_id": "2287526"}, {"ref": "cocodrips/animation-paths", "kernel_id": "2223755"}, {"ref": "jpmiller/google-or-tools-w-clusters", "kernel_id": "2158674"}, {"ref": "nulldata/can-you-get-anymore-naive-santa-path", "kernel_id": "2170598"}, {"ref": "nickcanny/lost-santa", "kernel_id": "2239396"}, {"ref": "something4kag/travelling-santa-the-movie", "kernel_id": "2469429"}, {"ref": "zaburo/paint-a-tour-using-style-transfer-just-for-fun", "kernel_id": "2303209"}, {"ref": "zfturbo/concorde-for-5-hours", "kernel_id": "2232158"}, {"ref": "zfturbo/scoring-function", "kernel_id": "2156488"}, {"ref": "zfturbo/reversing-and-shifting", "kernel_id": "2604002"}, {"ref": "zfturbo/not-a-3-and-3-halves-opt", "kernel_id": "2470550"}, {"ref": "zfturbo/gpu-shuffle-numba-cuda", "kernel_id": "2402613"}, {"ref": "zfturbo/close-ends-chunks-optimization-aka-2-opt", "kernel_id": "2418188"}, {"ref": "zfturbo/not-a-5-and-5-halves-opt-0efc12", "kernel_id": "2556116"}, {"ref": "zfturbo/dp-shuffle", "kernel_id": "2553645"}, {"ref": "zfturbo/frunk-optimization", "kernel_id": "2600038"}, {"ref": "zfturbo/local-optimization-using-google-or-tool", "kernel_id": "2535372"}, {"ref": "sunhwan/cost-function-with-pytorch-tensor", "kernel_id": "2530194"}, {"ref": "sunhwan/exploration-and-naive-solution", "kernel_id": "2231565"}, {"ref": "mtodisco10/visualizing-the-prime-path", "kernel_id": "2155427"}, {"ref": "kirichenko17roman/visualization-optimal-path-for-santa", "kernel_id": "2608972"}, {"ref": "georsara1/numpy-pandas-only-no-optimization-libraries", "kernel_id": "2288300"}, {"ref": "robinintheuk/increasingly-fast-scoring", "kernel_id": "2308172"}, {"ref": "gilbar/batched-santa", "kernel_id": "2521864"}, {"ref": "wizmik12/are-prime-cities-important-greedy", "kernel_id": "2473820"}, {"ref": "wizmik12/visualization-santa-tsp-s-problem", "kernel_id": "2459154"}, {"ref": "alijs1/very-simple-sorting-one-liner-baseline", "kernel_id": "2155304"}, {"ref": "thexyzt/xyzt-s-visualizations-and-various-tsp-solvers", "kernel_id": "2165706"}, {"ref": "mpware/concorde-lkh-local-optimization-numba-9h", "kernel_id": "2599926"}, {"ref": "byfone/riffling-for-fine-selection", "kernel_id": "2267169"}, {"ref": "gpreda/concorde-solver-fork", "kernel_id": "2322845"}, {"ref": "nefesh/santas-competition-matrix-approach", "kernel_id": "2605137"}, {"ref": "therealroman/blending-public-kernels", "kernel_id": "2605109"}, {"ref": "ashishpatel26/travelling-santa-2018-using-tsp-solver-forked", "kernel_id": "2170794"}, {"ref": "ashishpatel26/genetic-algorithm-for-beginner-to-advance", "kernel_id": "2159938"}, {"ref": "sgorlick/simple-trial-using-only-numpy", "kernel_id": "2256205"}, {"ref": "arunkumarramanan/data-science-in-r-and-titanic-survival-prediction", "kernel_id": "2272949"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "ubarredo/k-opt-algorithm", "kernel_id": "2534429"}, {"ref": "naivelamb/sample-submission", "kernel_id": "2154711"}, {"ref": "matthewa313/flip-it", "kernel_id": "2296639"}, {"ref": "dewmalnilanka/fork-of-santa-path", "kernel_id": "2604620"}, {"ref": "seshadrikolluri/understanding-the-problem-and-some-sample-paths", "kernel_id": "2160105"}, {"ref": "marlesson/simple-genetic-algorithm", "kernel_id": "2165564"}, {"ref": "southman/concorde-tsp-solver", "kernel_id": "2298077"}, {"ref": "ricemath25/traveling-santa-setup-template", "kernel_id": "2191174"}, {"ref": "schlerp/genetic-reindeer-ftw", "kernel_id": "2157250"}, {"ref": "jaroslavburlii/colored-path-for-visual-exploring-of-path", "kernel_id": "2180367"}, {"ref": "miklgr500/simple-visualization", "kernel_id": "2154955"}, {"ref": "returnofsputnik/fork-of-judaism-v5", "kernel_id": "2158594"}, {"ref": "golubev/reversing-and-shifting", "kernel_id": "2600851"}, {"ref": "crisparada/gravity-falls-a-foolish-algorithm-but-fun", "kernel_id": "2498223"}, {"ref": "sharthz23/frunk-optimization", "kernel_id": "2596731"}, {"ref": "alexanderliao/penalty-visualization", "kernel_id": "2516425"}, {"ref": "alexanderliao/self-organizing-maps-pytorch-starter-kits", "kernel_id": "2158398"}, {"ref": "blacksix/dp-shuffle", "kernel_id": "2543459"}, {"ref": "blacksix/dp-shuffle-strikes-back", "kernel_id": "2604521"}, {"ref": "blacksix/concorde-solver-with-scaling", "kernel_id": "2211176"}, {"ref": "blacksix/concorde-for-5-hours", "kernel_id": "2218288"}, {"ref": "blacksix/concorde-for-5-min", "kernel_id": "2218123"}, {"ref": "blacksix/flip-n-roll-fast-python-scorer", "kernel_id": "2320726"}, {"ref": "jasonduncanwilson/exploring-nearest-neighbor-assignment-optimization", "kernel_id": "2199714"}, {"ref": "jasonduncanwilson/run-run-rudolph-tsp-solver-path-flip", "kernel_id": "2331447"}, {"ref": "yfyangd/genetic-algorithm-approach", "kernel_id": "2410189"}, {"ref": "katsuomi/santa", "kernel_id": "2348168"}, {"ref": "anoopnits/scoring-simple-and-optimized", "kernel_id": "2464589"}, {"ref": "anoopnits/rudolph-the-slightly-less-greedy-reindeer", "kernel_id": "2172270"}, {"ref": "dan3dewey/reindeer-rebellion-traveling-santa-2018", "kernel_id": "2246029"}, {"ref": "dan3dewey/all-the-carrots-traveling-santa-2018", "kernel_id": "2302918"}, {"ref": "dan3dewey/concorde-primes-only", "kernel_id": "2302710"}, {"ref": "maxmanko/concorde-tspsolver-with-coordinate-scaling", "kernel_id": "2222619"}, {"ref": "frkhit/google-or-tools-w-clusters-0cc2e2", "kernel_id": "2396316"}, {"ref": "frkhit/traveling-santa-2018-prime-paths", "kernel_id": "2395191"}, {"ref": "jangier/santa-s-mathematical-helpers", "kernel_id": "2237369"}, {"ref": "kostyaatarik/not-a-5-and-5-halves-opt", "kernel_id": "2534679"}, {"ref": "kostyaatarik/better-input-for-aka-2-opt", "kernel_id": "2476583"}, {"ref": "kostyaatarik/better-input-for-not-a-3-and-3-halves-opt", "kernel_id": "2482058"}, {"ref": "kostyaatarik/not-a-3-and-3-halves-opt", "kernel_id": "2464947"}, {"ref": "kostyaatarik/close-ends-chunks-optimization-aka-2-opt", "kernel_id": "2405513"}, {"ref": "kostyaatarik/concorde-solver-with-scaling-and-visualizations", "kernel_id": "2216242"}, {"ref": "kostyaatarik/fast-path-chunk-pure-scoring-functions-using-numba", "kernel_id": "2363213"}, {"ref": "andresionek/object-oriented-santa-s-route-concorde-solver", "kernel_id": "2165948"}, {"ref": "jsaguiar/pseudo-k-opt", "kernel_id": "2526943"}, {"ref": "jsaguiar/lkh-solver", "kernel_id": "2272763"}, {"ref": "jsaguiar/fast-2-opt-with-cython", "kernel_id": "2304593"}, {"ref": "talktocharles/a-couple-of-different-visualisations-with-r", "kernel_id": "2186626"}, {"ref": "hirune924/random-insertion-no-concord-solver-solution", "kernel_id": "2167716"}, {"ref": "nonreviad/rudolph-the-slightly-less-greedy-reindeer", "kernel_id": "2166075"}, {"ref": "nonreviad/reverse-best-first-search-and-simulated-annealing", "kernel_id": "2166785"}, {"ref": "zikazika/greedy-algorithm-approach", "kernel_id": "2167585"}, {"ref": "pavankumarkulkarni/traveling-santa-starter-code", "kernel_id": "2241265"}, {"ref": "khahuras/super-fast-cumsum-trick-8th-place-demo-solution", "kernel_id": "2606287"}, {"ref": "afgonczol/make-your-own-map", "kernel_id": "2165469"}, {"ref": "afgonczol/an-easter-egg-this-christmas", "kernel_id": "2154965"}, {"ref": "nadare/zigzag-initialization-random-swap", "kernel_id": "2154661"}, {"ref": "nadare/comparison-of-primality-test-s-speed", "kernel_id": "2157810"}, {"ref": "wouterlefever/concorde-solver", "kernel_id": "2169971"}, {"ref": "theoviel/from-public-kernels-to-bronze", "kernel_id": "2608619"}, {"ref": "theoviel/greedy-reindeer-starter-code", "kernel_id": "2162079"}, {"ref": "yukikubo123/how-to-calculate-the-score", "kernel_id": "2156469"}, {"ref": "vazibeiro/initial-steps-on-traveling-santa-r", "kernel_id": "2166277"}, {"ref": "amanpradhan123/kernel5b6bfdf263", "kernel_id": "2280205"}, {"ref": "timothyholmes/is-prime-count-prime-cities-and-graph", "kernel_id": "2155489"}, {"ref": "mitulshah97/titanic1", "kernel_id": "2474046"}, {"ref": "hblearn/local-optimization-using-google-or-tool", "kernel_id": "2520838"}, {"ref": "haightdj/helping-santa-eda-simple-solutions", "kernel_id": "2191274"}, {"ref": "ldm314/brute-force-santa-2018", "kernel_id": "2536027"}, {"ref": "rdpharr/traveling-santa-prob-ortools-concorde-n-neigh", "kernel_id": "2568622"}, {"ref": "rdboyes/generate-the-sample-submission-file", "kernel_id": "2154582"}, {"ref": "rdboyes/see-the-map", "kernel_id": "2155035"}, {"ref": "neodelphis/carrots-rule-compute-score", "kernel_id": "2189513"}, {"ref": "neodelphis/optimization-for-the-prime-twist", "kernel_id": "2441429"}, {"ref": "ekreutz/scoring-function-short-vectorized", "kernel_id": "2207633"}, {"ref": "ffabiociullo93/xmas-problem", "kernel_id": "2263790"}, {"ref": "ultragamza/compute-cost-accelerator-by-tensorflow-gpu", "kernel_id": "2193213"}, {"ref": "jazivxt/winter-avalanche-2", "kernel_id": "2307163"}, {"ref": "surfhigh/improving-greedy-path-with-genetic-algorithm", "kernel_id": "2334223"}, {"ref": "charliesolomon/visualizing-prime-cities", "kernel_id": "2167023"}, {"ref": "harfish/prime-reindeer", "kernel_id": "2176623"}, {"ref": "rajivaggarwal/logistics-travelling-santa-2018", "kernel_id": "2536452"}, {"ref": "absrage/prime-finder", "kernel_id": "2167483"}, {"ref": "bicotsp/pmtest1", "kernel_id": "2576913"}, {"ref": "elvenmonk/simplified-christofides-m-3-perfect-matching", "kernel_id": "2573794"}, {"ref": "drrona/test1", "kernel_id": "2468300"}, {"ref": "bivek2211/tsp-solver-greedy-and-concorde", "kernel_id": "3930967"}, {"ref": "saayan/travelling-santa-splitting-with-theta", "kernel_id": "3231118"}, {"ref": "jc429034/cp2410-assignment-1-by-eriq-tatti", "kernel_id": "3461027"}, {"ref": "vangorpem/cp2410-assignment-1-emily-van-gorp", "kernel_id": "3516199"}, {"ref": "bradlius/kernel1410ce72c8", "kernel_id": "3517078"}, {"ref": "topprono123/anhducdang-assigment1", "kernel_id": "3719034"}, {"ref": "huynhan/assignment-2", "kernel_id": "3949051"}, {"ref": "huynhan/assignment1-cp2410-giahuynhan-13392900", "kernel_id": "3736571"}, {"ref": "sushanliu/a2-santa-travelling", "kernel_id": "3827463"}, {"ref": "superyouyou/youssef-el-moukhtar-a1", "kernel_id": "3716743"}, {"ref": "lukesexton/cp2410-a2-algorithms-data-structures", "kernel_id": "4036531"}, {"ref": "alieshasmith/cp2410-assignment-2", "kernel_id": "4104700"}, {"ref": "genmasa98/assignment-2-genevievemasa", "kernel_id": "4118571"}, {"ref": "vangorpem/cp2410-assignment-2-emily-van-gorp", "kernel_id": "4105018"}, {"ref": "bradlius/travelling-santa-assignment-2", "kernel_id": "4094546"}, {"ref": "topprono123/anhducdang-assignment2", "kernel_id": "4025789"}, {"ref": "jtrotman/java-pdfbox-demo-santa-prime-paths", "kernel_id": "7787644"}, {"ref": "huangjianwei/assignment-1-submission", "kernel_id": "7143663"}, {"ref": "jiemao/kernel3352355478", "kernel_id": "7088481"}, {"ref": "chenmengying/a1-chenmengying", "kernel_id": "7146156"}, {"ref": "nyansoe/assignment-2", "kernel_id": "7164792"}, {"ref": "nyansoe/assignment-1", "kernel_id": "7064100"}, {"ref": "nicholaskhoo/cp2410-assignment-2-nicholas-ryan-khoo", "kernel_id": "7758393"}, {"ref": "themiz/ming-zhou-a1", "kernel_id": "7121289"}, {"ref": "luiserivaldolim/cp2410-assignment-luise-rivaldo-lim", "kernel_id": "7170415"}, {"ref": "cthierfelder/travelingsantaprime", "kernel_id": "10573108"}, {"ref": "tylerchenchen/greedy-tabu", "kernel_id": "13871111"}, {"ref": "tylerchenchen/understanding-the-problem-and-some-sample-paths", "kernel_id": "13889078"}, {"ref": "shaohey0930/santa-concorde", "kernel_id": "14050166"}, {"ref": "gabylp/greedy-optim-rtree", "kernel_id": "16304415"}, {"ref": "calebwebsterjcu/travelling-santa-solution-merge-sort-ll", "kernel_id": "16622461"}, {"ref": "benjaminnicholson/assignment-1", "kernel_id": "16941870"}, {"ref": "mkutlu/travelling-santa-pro-gezgin-sat-c-problemi-ga-knn", "kernel_id": "19204888"}, {"ref": "albertjamesrequilme/albert-james", "kernel_id": "114820926"}, {"ref": "onbitrn/notebookc10a3e1bd3", "kernel_id": "114839612"}, {"ref": "juelaili/juelai-li", "kernel_id": "115343097"}, {"ref": "sarahaliyah/cp2410-assessment-3", "kernel_id": "115371644"}, {"ref": "chenjunfei/cp2410-chen-junfei", "kernel_id": "115211902"}, {"ref": "natashacourtney/notebookaf47a657c7", "kernel_id": "129826375"}, {"ref": "zacwong1/cp2410-projectreport-zacwong", "kernel_id": "129850018"}, {"ref": "oxrick10/notebookae9e79d941", "kernel_id": "130322164"}, {"ref": "taitymrobinson/taitym-robinson-a3", "kernel_id": "130316911"}]}
{"competition_id": "10736", "kernels": []}
{"competition_id": "10737", "kernels": [{"ref": "tks0123456789/projection-meta-embedding-and-ema", "kernel_id": "2241059"}, {"ref": "tks0123456789/pme-ema-6-x-8-epochs", "kernel_id": "2796965"}, {"ref": "ishitori/what-if-we-could-finetune-bert-from-apache-mxnet", "kernel_id": "2653464"}, {"ref": "ishitori/using-convolution-encoder-with-apache-mxnet", "kernel_id": "2678054"}, {"ref": "gelanbou/automl-starter-from-others-prep", "kernel_id": "2309922"}, {"ref": "philippsinger/fast-gpu-word-similarity-from-embeddings", "kernel_id": "2369541"}, {"ref": "shravankoninti/simple-code-lstm-using-keras", "kernel_id": "2073519"}, {"ref": "shravankoninti/eda-only", "kernel_id": "2064507"}, {"ref": "anttip/mercari-mlp-without-embeddings", "kernel_id": "2560116"}, {"ref": "kaosmonkey/visualize-sincere-vs-insincere-words", "kernel_id": "2069701"}, {"ref": "mschumacher/adding-an-auxiliary-task", "kernel_id": "2050736"}, {"ref": "mschumacher/44th-place-add-all-the-randomness", "kernel_id": "2836021"}, {"ref": "ccatalfo/initial-eda", "kernel_id": "2558688"}, {"ref": "mohanrao/all-models-are-wrong-some-are-ok", "kernel_id": "2058185"}, {"ref": "dex314/simple-nlp-and-practice-v3", "kernel_id": "2436528"}, {"ref": "sudalairajkumar/a-look-at-different-embeddings", "kernel_id": "2043602"}, {"ref": "sudalairajkumar/simple-exploration-notebook-qiqc", "kernel_id": "2040878"}, {"ref": "adityajitta/pytorch-bilstm-selfattention-es10", "kernel_id": "2829516"}, {"ref": "kailex/r-eda-for-q-gru", "kernel_id": "2048367"}, {"ref": "bgeier/ltsm-capsule", "kernel_id": "2560687"}, {"ref": "mlwhiz/learning-text-classification-textcnn", "kernel_id": "2287701"}, {"ref": "mlwhiz/learning-text-classification-bidirectionalrnn", "kernel_id": "2352127"}, {"ref": "mlwhiz/learning-text-classification-attention", "kernel_id": "2357174"}, {"ref": "mlwhiz/deterministic-nn-pytorch-with-clr-and-save", "kernel_id": "2402154"}, {"ref": "mlwhiz/initializing-pytorch-layers-weight-with-kaiming", "kernel_id": "2511605"}, {"ref": "mlwhiz/adversarial-validation-and-lb-shakeup", "kernel_id": "2515959"}, {"ref": "mlwhiz/spell-checker-using-word2vec", "kernel_id": "2516099"}, {"ref": "mlwhiz/third-place-model-for-toxic-comments-in-pytorch", "kernel_id": "2565136"}, {"ref": "mlwhiz/multimodel-ensemble-clean-kernel", "kernel_id": "2823459"}, {"ref": "mlwhiz/third-place-model-for-toxic-spatial-dropout", "kernel_id": "2919747"}, {"ref": "mlwhiz/conventional-methods-for-quora-classification", "kernel_id": "2877014"}, {"ref": "danofer/different-embeddings-with-attention-fork", "kernel_id": "2081669"}, {"ref": "danofer/embeddings-baseline-65-lb", "kernel_id": "2042926"}, {"ref": "abosol/visualising-f1-with-respect-to-precision-recall", "kernel_id": "2100043"}, {"ref": "abosol/first-observations", "kernel_id": "2051244"}, {"ref": "timothylucas/optimising-your-model-for-qiqc-using-hyperopt", "kernel_id": "2656624"}, {"ref": "enigmadecoder/basic-model", "kernel_id": "2293672"}, {"ref": "s4sarath/0-7-in-4000-seconds", "kernel_id": "2789299"}, {"ref": "datatoknowl/fasttext", "kernel_id": "2668953"}, {"ref": "datatoknowl/quora-insincere-questions-dl-approaches", "kernel_id": "2553168"}, {"ref": "mchahhou/fork-of-quora-lb-no-cv-2", "kernel_id": "2840695"}, {"ref": "amitabhac/simple-lstm-attention-with-glove", "kernel_id": "2655672"}, {"ref": "amitabhac/rl-nlp-first-attempt", "kernel_id": "2702047"}, {"ref": "arunsankar/learning-ml-algorithms-with-quora-data", "kernel_id": "2405994"}, {"ref": "arunsankar/key-insights-from-quora-insincere-questions", "kernel_id": "2169088"}, {"ref": "red8012/gru-final", "kernel_id": "2547935"}, {"ref": "red8012/robustness-validation", "kernel_id": "2607136"}, {"ref": "red8012/unoptimized-model", "kernel_id": "2624063"}, {"ref": "red8012/gru-2-epochs", "kernel_id": "2627447"}, {"ref": "ryanzhang/tfidf-naivebayes-logreg-baseline", "kernel_id": "2070290"}, {"ref": "kashnitsky/how-to-download-submission-file-without-committing", "kernel_id": "2636077"}, {"ref": "kentaronakanishi/18th-place-solution", "kernel_id": "2831082"}, {"ref": "peterhurford/lgb-baseline", "kernel_id": "2038796"}, {"ref": "peterhurford/applying-mercari-state-of-the-art-mlp-to-quora", "kernel_id": "2050522"}, {"ref": "skathirmani/ml-with-word-embeddings", "kernel_id": "2350122"}, {"ref": "jlochter/insincere-embeddings-mgnc-cnn-and-mv-cnn", "kernel_id": "2052016"}, {"ref": "anuraggupta/quora-count-vectorizer-with-naive-bayes", "kernel_id": "2159052"}, {"ref": "lalitapatel/starter-without-nlp-frameworks", "kernel_id": "2491351"}, {"ref": "lalitapatel/scikitlearn-lr-on-histographic-features", "kernel_id": "2508442"}, {"ref": "rooshroosh/lightgmb-tfidf-benchmark", "kernel_id": "2044261"}, {"ref": "chuttipayanblr/quoraeda", "kernel_id": "2089048"}, {"ref": "hireme/fun-api-keras-f1-metric-cyclical-learning-rate", "kernel_id": "2053470"}, {"ref": "mihaskalic/have-you-tried-shallow-before-going-deep", "kernel_id": "2038535"}, {"ref": "mihaskalic/lstm-is-all-you-need-well-maybe-embeddings-also", "kernel_id": "2038977"}, {"ref": "mihaskalic/dynamic-lstm-pytorch-starter", "kernel_id": "2051936"}, {"ref": "ousou214738/logistic-regression-countvectorizer", "kernel_id": "2350054"}, {"ref": "ousou214738/logistic-regression-and-bag-of-embeddings", "kernel_id": "2813958"}, {"ref": "bninopaul/cudnngru-cnn-attention", "kernel_id": "2358245"}, {"ref": "bguberfain/embeddings-sample-tokens", "kernel_id": "2313177"}, {"ref": "nitinaggarwal008/basic-model", "kernel_id": "2141547"}, {"ref": "antklen/final-attempts", "kernel_id": "2813242"}, {"ref": "ayusov/find-quora-glove-50-vectors", "kernel_id": "2660916"}, {"ref": "ayusov/linear-methods-over-bag-of-words", "kernel_id": "2127882"}, {"ref": "kagsen/k-fold-on-a-single-model-vs-a-model-salad", "kernel_id": "2163783"}, {"ref": "abimannan/quora-q-a", "kernel_id": "2510987"}, {"ref": "chriskeown/01-warm-up", "kernel_id": "2383403"}, {"ref": "carloshuertas/quora-and-kaggle", "kernel_id": "2056445"}, {"ref": "labdmitriy/quora-eda-unicode-characters-distribution", "kernel_id": "2677696"}, {"ref": "jeevananne/basic-logistic-regression", "kernel_id": "2418866"}, {"ref": "dave50/quora-attention-lstm-svm", "kernel_id": "2069899"}, {"ref": "andraszsom/eda-sincere-questions-are-about-books-advice", "kernel_id": "2104580"}, {"ref": "nazzml/tfidf-naivebayes-logreg-baseline-forked-to-play", "kernel_id": "2291649"}, {"ref": "santhoshram/quora-insincere-classification", "kernel_id": "2858077"}, {"ref": "shubhinderrana/very-insincere", "kernel_id": "2538402"}, {"ref": "goldenstate/eda-and-preprocessing", "kernel_id": "2219089"}, {"ref": "someadityamandal/classifying-quora-questions-using-pytorch", "kernel_id": "2757077"}, {"ref": "azveryansky/not-only-tfidf-tfor-tfrf-tficf-for-blending", "kernel_id": "2532076"}, {"ref": "strideradu/word2vec-and-gensim-go-go-go", "kernel_id": "2057526"}, {"ref": "silverstone1903/gru-is-all-you-need-with-f1-opt-and-attention", "kernel_id": "2154378"}, {"ref": "geekman/two-minute-eda", "kernel_id": "2143548"}, {"ref": "ksayantani/quora-insincere-qa", "kernel_id": "2450178"}, {"ref": "ksayantani/utility-functions", "kernel_id": "2639318"}, {"ref": "ksayantani/insincere-questions-eda-understanding", "kernel_id": "2638692"}, {"ref": "strifonov/avg-cnn-predictions", "kernel_id": "2387193"}, {"ref": "strifonov/combined-embeddings", "kernel_id": "2356871"}, {"ref": "strifonov/combined-with-nlp", "kernel_id": "2204966"}, {"ref": "strifonov/some-eda", "kernel_id": "2259776"}, {"ref": "strifonov/avg-simple-rnn-with-attention-and-preprocessing", "kernel_id": "2674843"}, {"ref": "strifonov/stacked-cnn-predictions", "kernel_id": "2464753"}, {"ref": "strifonov/simple-rnn", "kernel_id": "2496011"}, {"ref": "strifonov/avg-on-embeddings-simple-rnn-with-attention", "kernel_id": "2568098"}, {"ref": "jpmiller/bonus-vectors-with-spacy", "kernel_id": "2113869"}, {"ref": "benharris247/keras-cnn-w-attention", "kernel_id": "2159859"}, {"ref": "jannen/reaching-0-7-fork-from-bilstm-attention-kfold", "kernel_id": "2672318"}, {"ref": "jannen/chinese-text", "kernel_id": "2747975"}, {"ref": "jannen/model-error-analysis", "kernel_id": "2736408"}, {"ref": "bhatvm/quora-quick-exploration-and-an-lr-model", "kernel_id": "2539353"}, {"ref": "lgaudette/histogram-features", "kernel_id": "2182683"}, {"ref": "slashtea/toxic-questions-classification", "kernel_id": "2379738"}, {"ref": "tunguz/lstm-gru-why-not-both", "kernel_id": "2040096"}, {"ref": "tunguz/sample-submission-starter", "kernel_id": "2038592"}, {"ref": "tunguz/lr-with-words-and-char-n-grams-baseline", "kernel_id": "2038699"}, {"ref": "tunguz/just-some-simple-eda", "kernel_id": "2038729"}, {"ref": "tunguz/quora-adversarial-validation", "kernel_id": "2085956"}, {"ref": "tunguz/how-toxic-are-quora-questions", "kernel_id": "2075586"}, {"ref": "tunguz/tensorflow-hub-sentence-embeddings", "kernel_id": "2054037"}, {"ref": "bobazooba/pytorch-deep-average-network-as-baseline", "kernel_id": "2142907"}, {"ref": "mitya8128/gru-capsule", "kernel_id": "2727475"}, {"ref": "praxitelisk/quora-insincere-questions-classification-dl", "kernel_id": "2787361"}, {"ref": "mabrek/simple-fasttext-pretrained", "kernel_id": "2673258"}, {"ref": "sh73ch/pytorch-torchtext-ignite-spacy", "kernel_id": "2198206"}, {"ref": "mattkierans/simply-deep-toxic-comments", "kernel_id": "2576970"}, {"ref": "wowfattie/3rd-place", "kernel_id": "2835818"}, {"ref": "zubrabubra/pytorch-starter", "kernel_id": "2608236"}, {"ref": "johnkyon/text-preprocessing", "kernel_id": "2470965"}, {"ref": "johnkyon/fork-from-bilstm-attention-kfold-0115-81a8d9", "kernel_id": "2688864"}, {"ref": "johnkyon/char-embeddings", "kernel_id": "2797476"}, {"ref": "johnkyon/fork-of-gamma-bianli-feature-1-1-i-16", "kernel_id": "2781130"}, {"ref": "miguelguer/embeddings-baseline-65-lb", "kernel_id": "2047431"}, {"ref": "marcocarnini/climbing-on-giant-s-shoulders", "kernel_id": "2310528"}, {"ref": "marcocarnini/a-minimalistic-approach", "kernel_id": "2326357"}, {"ref": "marcocarnini/improving-the-coverage", "kernel_id": "2349172"}, {"ref": "yashbhalgat/2d-cnn-with-processing", "kernel_id": "2148274"}, {"ref": "harshil10/augmented-data-with-wordnet", "kernel_id": "2359593"}, {"ref": "evanwang1028/baseline-needs-more-love-3", "kernel_id": "2281815"}, {"ref": "shujian/single-rnn-model-with-meta-features", "kernel_id": "2155255"}, {"ref": "shujian/single-rnn-with-5-folds", "kernel_id": "2158424"}, {"ref": "shujian/single-rnn-with-4-folds-clr", "kernel_id": "2183764"}, {"ref": "shujian/test-the-difficulty-of-this-classification-tasks", "kernel_id": "2184751"}, {"ref": "shujian/fake-some-positive-data-data-augmentation", "kernel_id": "2185669"}, {"ref": "shujian/single-rnn-with-5-folds-snapshot-ensemble", "kernel_id": "2174501"}, {"ref": "shujian/single-rnn-with-4-folds-v1-9", "kernel_id": "2176480"}, {"ref": "shujian/mix-of-nn-models-based-on-meta-embedding", "kernel_id": "2115791"}, {"ref": "shujian/transformer-with-lstm", "kernel_id": "2121765"}, {"ref": "shujian/play-with-qid-dangerous", "kernel_id": "2134357"}, {"ref": "shujian/fork-of-mix-of-nn-models", "kernel_id": "2137556"}, {"ref": "shujian/transformer-initial-attempt", "kernel_id": "2095915"}, {"ref": "shujian/blend-of-lstm-and-cnn-with-4-embeddings-1200d", "kernel_id": "2064717"}, {"ref": "shujian/different-embeddings-with-attention-fork-fork", "kernel_id": "2087840"}, {"ref": "krishnamadgula/hidden-findings-in-question-types-o", "kernel_id": "2076327"}, {"ref": "cicipoo/quora-first-pass", "kernel_id": "2723254"}, {"ref": "paulorzp/compressing-a-binary-submission-within-a-string", "kernel_id": "2649500"}, {"ref": "georsara1/some-stats-some-linguistics-some-ml", "kernel_id": "2082920"}, {"ref": "georsara1/no-fancy-stuff-just-a-bi-lstm", "kernel_id": "2060481"}, {"ref": "stacykurnikova/using-glove-embedding", "kernel_id": "2038851"}, {"ref": "danielcorreia/simple-embeddings-starter-text-classification", "kernel_id": "2094064"}, {"ref": "zeus75/quora-with-bilstm", "kernel_id": "2788821"}, {"ref": "applecer/use-f1-to-select-model-lstm-based", "kernel_id": "2040852"}, {"ref": "alber8295/bigru-w-attention-visualized-for-beginners", "kernel_id": "2051250"}, {"ref": "igauty/quora-eda-v01", "kernel_id": "2046178"}, {"ref": "lhohoz/quora-lstm-gru-pytorch", "kernel_id": "2470307"}, {"ref": "yokolet/quora-sentiment-analysis-by-pytorch", "kernel_id": "2237195"}, {"ref": "catris25/classifying-quora-qs-using-naive-bayes", "kernel_id": "2289619"}, {"ref": "hncuong/lstm-attention-baseline-0-652-lb", "kernel_id": "2126583"}, {"ref": "nanar69m/quora-insincere-1", "kernel_id": "2146665"}, {"ref": "springmanndaniel/25th-place-solution", "kernel_id": "2827483"}, {"ref": "springmanndaniel/combine-r-and-python-to-load-embeddings", "kernel_id": "2792269"}, {"ref": "springmanndaniel/preprocessing-in-r", "kernel_id": "2791816"}, {"ref": "chiragjn101/tensorflow-hub-u-s-e-large-keras-dense", "kernel_id": "2044322"}, {"ref": "manuelsh/ulmfit-from-fast-ai-pub", "kernel_id": "2531172"}, {"ref": "sunnymarkliu/latex-cannot-be-used-in-a-quora-question", "kernel_id": "2582632"}, {"ref": "sunnymarkliu/augment-insincere-questions-with-markov-chains", "kernel_id": "2591517"}, {"ref": "sunnymarkliu/word-char-tfidf-lightgbm-baseline", "kernel_id": "2779936"}, {"ref": "sunnymarkliu/more-text-cleaning-to-increase-word-coverage", "kernel_id": "2748778"}, {"ref": "bhargav5/bilstm-attention-lm", "kernel_id": "2695786"}, {"ref": "akrsrivastava/topic-modeling-lda-on-insincere-questions", "kernel_id": "2641099"}, {"ref": "johnfly/baseline-for-text-classification", "kernel_id": "2463141"}, {"ref": "sirsikarakshay/quora-neural-nets-for-checking-insincerity", "kernel_id": "2654701"}, {"ref": "arindamgot/insincereeda-sentimentanalysis-moodring-polarmelt", "kernel_id": "2050365"}, {"ref": "luudactam/final-sub", "kernel_id": "2831613"}, {"ref": "dongnanzhy/data-exploration", "kernel_id": "2241158"}, {"ref": "infinitylogesh/the-curious-case-of-siamese-twins", "kernel_id": "2794721"}, {"ref": "guillermolissa/quoranaivebayes", "kernel_id": "2209978"}, {"ref": "neopalmas/test-submit", "kernel_id": "2477722"}, {"ref": "frjo0083/super-secret-public-ensemble", "kernel_id": "2713119"}, {"ref": "aka7hs/insincere-analysis-tidytext-and-ggraph", "kernel_id": "2111636"}, {"ref": "shwksl101/baseline", "kernel_id": "2357531"}, {"ref": "noklamchan/starter-classic-linear-model-nb-logistic-3mins", "kernel_id": "2089085"}, {"ref": "darshanadiga/initial-understanding-of-data-distribution", "kernel_id": "2067070"}, {"ref": "darshanadiga/quora-lstm-v1", "kernel_id": "2102779"}, {"ref": "richarde/cnn-n-gram", "kernel_id": "2277418"}, {"ref": "richarde/easy-quora-challenge-tutorial", "kernel_id": "2294346"}, {"ref": "syhens/speed-up-your-preprocessing", "kernel_id": "2388515"}, {"ref": "muhammedfathi/improving-with-deep-cleaning-and-capsule", "kernel_id": "2880132"}, {"ref": "ratnesh88/predict-insincere-questions", "kernel_id": "2836491"}, {"ref": "jayashreesridhar/text-classification-lstm-cnn-glove-embeddings", "kernel_id": "2432477"}, {"ref": "peining/third-place-model-for-toxic-comments-in-pytorch", "kernel_id": "2684178"}, {"ref": "peining/fork-of-third-place-model-2th", "kernel_id": "2819743"}, {"ref": "peining/about-the-variance-and-the-cv-result", "kernel_id": "2724915"}, {"ref": "prabanch/quora-insincere-questions-classification", "kernel_id": "2435291"}, {"ref": "artgor/text-modelling-in-pytorch-v2", "kernel_id": "2736357"}, {"ref": "artgor/text-modelling-in-pytorch", "kernel_id": "2162061"}, {"ref": "artgor/eda-and-lstm-cnn", "kernel_id": "2041511"}, {"ref": "artgor/gru-model", "kernel_id": "2241598"}, {"ref": "arthurtok/target-visualization-t-sne-and-doc2vec", "kernel_id": "2078431"}, {"ref": "dmonga/neural-network", "kernel_id": "2146175"}, {"ref": "adritab/sub1-no-deep-learning-vanilla-tfidf-logreg-svm", "kernel_id": "2478895"}, {"ref": "tomras/quora-classification-with-ensemble", "kernel_id": "2234742"}, {"ref": "getsugatensho/initial", "kernel_id": "2843287"}, {"ref": "rajashri/inceptioncnn-with-flip", "kernel_id": "2067248"}, {"ref": "rajashri/beginner-nlp-notebook", "kernel_id": "2041536"}, {"ref": "xiaobai1123q/15th-place-solution", "kernel_id": "2942733"}, {"ref": "alhalimi/tokenization-and-word-embedding-compatibility", "kernel_id": "2152981"}, {"ref": "coronate/where-to-start", "kernel_id": "2039034"}, {"ref": "classtag/load-and-processing-data-set", "kernel_id": "2201803"}, {"ref": "classtag/rcnn-torch-v-0-1-0", "kernel_id": "2187916"}, {"ref": "raylee12/different-embeddings-with-attention-fork-fork", "kernel_id": "2498259"}, {"ref": "gpreda/baseline-using-embeddings-forked", "kernel_id": "2044422"}, {"ref": "savanmorya/first-approach-towards-understanding-the-data", "kernel_id": "2307845"}, {"ref": "lucasdellabella/quorainsincerequestionsldb", "kernel_id": "2265756"}, {"ref": "wangggong/quora-bilstm-attention-kfold-fork-jannen", "kernel_id": "2679622"}, {"ref": "wangggong/quora-prediction-by-lgb", "kernel_id": "2691756"}, {"ref": "jmoore1/multimodel-singlehead", "kernel_id": "2147535"}, {"ref": "seynog/fork-attention-with-changed-weights", "kernel_id": "2280111"}, {"ref": "ashishsinhaiitr/different-embeddings-with-attention-fork-fork", "kernel_id": "2094223"}, {"ref": "smasar/basicconcepts-preprocessing-evaluatoin-processing", "kernel_id": "2068047"}, {"ref": "tundraman/hierarchical-attention-network-cnn-on-qiqc", "kernel_id": "2430305"}, {"ref": "nicke1/bilstm-attention-2dcnn-kfold", "kernel_id": "2728060"}, {"ref": "nicke1/fine-text-preproc-concat-embedding-lstm-gru-att", "kernel_id": "2516760"}, {"ref": "younad/using-randomized-search-cv-with-keras", "kernel_id": "2310566"}, {"ref": "younad/data-exploration-and-topic-modeling-lsa-vs-lda", "kernel_id": "2121548"}, {"ref": "splacorn/better-embeddings", "kernel_id": "2553016"}, {"ref": "kuldeep7688/simple-rnn-using-glove-embeddings-in-pytorch", "kernel_id": "2072532"}, {"ref": "hyperc/quora-insincere-questions-eda-logreg-on-tfidf", "kernel_id": "2145099"}, {"ref": "anebzt/quora-preprocessing-model", "kernel_id": "2681757"}, {"ref": "anebzt/quora-eda", "kernel_id": "2067527"}, {"ref": "karangautam/toxic-comment-v1", "kernel_id": "2069261"}, {"ref": "mazdaryo/how-can-i-silence-the-tqdm-output", "kernel_id": "2550777"}, {"ref": "asquarek/from-scratch", "kernel_id": "2813284"}, {"ref": "asquarek/fork-of-word2vec-cnn", "kernel_id": "2124664"}, {"ref": "krithi07/learning-about-word-embeddings-i", "kernel_id": "2531809"}, {"ref": "ashishpatel26/attension-layer-basic-for-nlp", "kernel_id": "2547878"}, {"ref": "ashishpatel26/word-embedding-with-beginner-to-advance", "kernel_id": "2761917"}, {"ref": "ashishpatel26/bilstm-attension-layer-with-cv", "kernel_id": "2747906"}, {"ref": "ashishpatel26/nlp-text-analytics-solution-quora", "kernel_id": "2139331"}, {"ref": "ashishpatel26/deep-learning-nlp-quora-solutions", "kernel_id": "2046437"}, {"ref": "ashishpatel26/vowpal-wabbit-best-text-classification-fe", "kernel_id": "2048963"}, {"ref": "ashishpatel26/beginner-to-intermediate-nlp-tutorial", "kernel_id": "2261738"}, {"ref": "smokerx/test-others", "kernel_id": "2335212"}, {"ref": "ayush07/quora-insincere-questions-classifier-using-cnns", "kernel_id": "2521918"}, {"ref": "ayush07/quora-insincere-questions-classifier-using-rnns", "kernel_id": "2438358"}, {"ref": "manojasaithambi/simple-lstm-with-glove", "kernel_id": "2141435"}, {"ref": "nicapotato/eli5-shap-lgbm-lr-interpretable-ml", "kernel_id": "2038582"}, {"ref": "sumon23/cnn-lstm-lstm-dnn-ensamble", "kernel_id": "2231477"}, {"ref": "bminixhofer/a-validation-framework-impact-of-the-random-seed", "kernel_id": "2591826"}, {"ref": "bminixhofer/deterministic-neural-networks-using-pytorch", "kernel_id": "2352507"}, {"ref": "spirosrap/bilstm-attention-kfold-clr-extra-features-capsule", "kernel_id": "2437698"}, {"ref": "noordeen/sample", "kernel_id": "2052007"}, {"ref": "sheriytm/final-stage-1-public-lb-at-closing-up-to-654", "kernel_id": "2942345"}, {"ref": "brucedai003/no-cnn-no-rnn-pure-transformer-encoder", "kernel_id": "2268002"}, {"ref": "anu0012/fasttext-keras", "kernel_id": "2283131"}, {"ref": "taindow/simple-lstm-with-r", "kernel_id": "2041863"}, {"ref": "kristinehala/benchmark-predictions", "kernel_id": "2698141"}, {"ref": "plarmuseau/shitty-words", "kernel_id": "2098530"}, {"ref": "plarmuseau/transform-embedding", "kernel_id": "2114220"}, {"ref": "plarmuseau/tf-idf-approach-on-insincere-questions", "kernel_id": "2190027"}, {"ref": "yekenot/2dcnn-textclassifier", "kernel_id": "2043119"}, {"ref": "kamal2611/quora-insincere", "kernel_id": "2664548"}, {"ref": "amirkeren/bidirectional-lstm-with-dropout", "kernel_id": "2186079"}, {"ref": "shouvikdos/balancing-train-data", "kernel_id": "2418262"}, {"ref": "akshayt19nayak/pytorch-bi-lstm", "kernel_id": "2682794"}, {"ref": "arunkumarramanan/awesome-deep-learning-with-cnn-mnist-classifier", "kernel_id": "2272643"}, {"ref": "arunkumarramanan/awesome-ml-and-text-classification-movie-reviews", "kernel_id": "2272874"}, {"ref": "arunkumarramanan/data-science-python-fuel-efficiency-prediction", "kernel_id": "2272905"}, {"ref": "arunkumarramanan/data-science-in-r-and-titanic-survival-prediction", "kernel_id": "2272949"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "rayidura/basic-feature-engg-baseline-without-embedding", "kernel_id": "2244935"}, {"ref": "burhanusm/exp-notebook", "kernel_id": "2724980"}, {"ref": "abdul0807/unknown-words-to-english-words-mapping", "kernel_id": "2749393"}, {"ref": "abdul0807/ensemble-simple-ml-models-for-beginners", "kernel_id": "2649438"}, {"ref": "lemonwaffle/quora-pytorch-torchtext", "kernel_id": "2547731"}, {"ref": "zhangjb/stacking-with-simple-tf-idf-feature", "kernel_id": "2083654"}, {"ref": "baomengjiao/finetuning-pre-trained-lm-without-external-data", "kernel_id": "2763187"}, {"ref": "sammir/simple-eda-and-nlp", "kernel_id": "2382180"}, {"ref": "swatisinghal/understanding-data-quora-insincere-questions", "kernel_id": "2602553"}, {"ref": "yeshila/quora-54th-solution", "kernel_id": "2809059"}, {"ref": "stathisbranikas/test-submission", "kernel_id": "2764923"}, {"ref": "stathisbranikas/first", "kernel_id": "2814620"}, {"ref": "datanerd007/quora-insincere-question-classification", "kernel_id": "2072501"}, {"ref": "takaishikawa/how-to-decode-googlenews-vectors-negative300-bin", "kernel_id": "2058050"}, {"ref": "nikhilroxtomar/bilstm-with-kfold-and-data-cleaning-lb-0-684", "kernel_id": "2192764"}, {"ref": "nikhilroxtomar/tensorflow-bigru", "kernel_id": "2212758"}, {"ref": "nikhilroxtomar/mix-result-of-cnn-and-lstm-lb-0-690", "kernel_id": "2241301"}, {"ref": "nikhilroxtomar/gru-with-kfold-lb-0-689", "kernel_id": "2177169"}, {"ref": "nikhilroxtomar/single-model-with-embeddings", "kernel_id": "2109659"}, {"ref": "nikhilroxtomar/embeddings-cnn-lstm-models-lb-0-683", "kernel_id": "2098401"}, {"ref": "nikhilroxtomar/combine-embeddings-combine-results", "kernel_id": "2119057"}, {"ref": "nikhilroxtomar/lstm-cnn-1d-with-lstm-attention", "kernel_id": "2060210"}, {"ref": "nikhilroxtomar/playing-with-embeddings-using-lstm-and-cnn", "kernel_id": "2075691"}, {"ref": "nikhilroxtomar/simple-starter-code", "kernel_id": "2042581"}, {"ref": "matveich19/blending-with-linear-regression-0-688-lb", "kernel_id": "2187723"}, {"ref": "abhibisht89/pay-some-attention", "kernel_id": "2080597"}, {"ref": "abhibisht89/using-bi-directional-lstm-v1", "kernel_id": "2058445"}, {"ref": "genyuan/lstm-emsemble-deep-learning-pytorch", "kernel_id": "2591986"}, {"ref": "bishalthingom/preprocessing-for-insincere-quora-questions", "kernel_id": "2209586"}, {"ref": "demery/character-level-tfidf-logistic-regression", "kernel_id": "2053544"}, {"ref": "shohbek/kerneleabdc083f0", "kernel_id": "2955104"}, {"ref": "ryches/what-country-is-not-a-mosquito", "kernel_id": "2046566"}, {"ref": "ryches/parts-of-speech-disambiguation-error-analysis", "kernel_id": "2390257"}, {"ref": "ryches/22nd-place-solution-6-models-pos-tagging", "kernel_id": "2943301"}, {"ref": "amitdoda/quora-amit-doda", "kernel_id": "2412996"}, {"ref": "dakshmiglani/65-cudnn-gru", "kernel_id": "2371509"}, {"ref": "raziahmed/tfidf-with-full-fit-on-lgbm", "kernel_id": "2325148"}, {"ref": "joeytaj/gpu-randomness-exploration", "kernel_id": "2262787"}, {"ref": "rajatranjan/quora-simple-text-classification", "kernel_id": "2049855"}, {"ref": "justjun0321/no-more-insincere-questions-on-quora", "kernel_id": "2743275"}, {"ref": "jaseziv83/quora-questions-target-eda", "kernel_id": "2040104"}, {"ref": "raghav3490/bidirectional-gru-with-unweighted-mean-embeddings", "kernel_id": "2413892"}, {"ref": "karthik7395/ulmfit-language-model-state-of-the-art", "kernel_id": "2162439"}, {"ref": "karthik7395/attention-based-bidi-lstm-attention-is-needed", "kernel_id": "2054848"}, {"ref": "karthik7395/baseline-svc", "kernel_id": "2046280"}, {"ref": "highkaggle/qa-classify-with-several-features", "kernel_id": "2733974"}, {"ref": "konohayui/topic-modeling-on-quora-insincere-questions", "kernel_id": "2040949"}, {"ref": "konohayui/apply-lime-on-quora-insincere-questions", "kernel_id": "2057424"}, {"ref": "konohayui/cv-v-s-lb", "kernel_id": "2613038"}, {"ref": "muzaffar21/kernelbc89cfa558", "kernel_id": "2346767"}, {"ref": "kleikev/quora-project", "kernel_id": "2604116"}, {"ref": "kartikeyab/basic-lstm", "kernel_id": "2053490"}, {"ref": "yakolle/quora2-tnn-6", "kernel_id": "2683971"}, {"ref": "yakolle/quora2-tnn-7", "kernel_id": "2683980"}, {"ref": "yakolle/quora2-tnn-8", "kernel_id": "2683988"}, {"ref": "yakolle/quora2-tnn-9", "kernel_id": "2683990"}, {"ref": "yakolle/quora2-tnn-3", "kernel_id": "2683892"}, {"ref": "yakolle/quora2-tnn-4", "kernel_id": "2683943"}, {"ref": "yakolle/quora2-tnn-5", "kernel_id": "2683952"}, {"ref": "yakolle/quora2-tnn-2", "kernel_id": "2683842"}, {"ref": "yakolle/quora-tnn-10", "kernel_id": "2316742"}, {"ref": "yakolle/quora-tnn-11", "kernel_id": "2316743"}, {"ref": "yakolle/quora-lgb-tune-param-reboot", "kernel_id": "2306094"}, {"ref": "yakolle/quora-tnn-9", "kernel_id": "2302177"}, {"ref": "yakolle/quora-tnn-8", "kernel_id": "2302179"}, {"ref": "yakolle/quora-tnn-2", "kernel_id": "2299900"}, {"ref": "yakolle/quora-tnn-3", "kernel_id": "2300108"}, {"ref": "yakolle/quora-lgb-tune-param", "kernel_id": "2297480"}, {"ref": "yakolle/quora-basic-analysis", "kernel_id": "2289737"}, {"ref": "yakolle/quora-tnn-6", "kernel_id": "2289524"}, {"ref": "yakolle/quora-tnn-4", "kernel_id": "2289450"}, {"ref": "yakolle/quora-tnn-7", "kernel_id": "2292841"}, {"ref": "yakolle/quora-lgb-1", "kernel_id": "2292878"}, {"ref": "yakolle/quora-tnn-5", "kernel_id": "2292879"}, {"ref": "parthbkgadoya/quora-quick-eda", "kernel_id": "2707892"}, {"ref": "jinmiao/eda-and-lstm-cnn", "kernel_id": "2123152"}, {"ref": "alsaco/is-this-a-desirable-competition-format", "kernel_id": "2838713"}, {"ref": "kurupical/which-words-make-possibility-of-insincere-high", "kernel_id": "2052705"}, {"ref": "heathbar6392/ensemble-112218", "kernel_id": "2177869"}, {"ref": "heathbar6392/first-submission", "kernel_id": "2122142"}, {"ref": "jiangm/5th-place-solution", "kernel_id": "2953736"}, {"ref": "youhanlee/cnn-1d-also-can-read-sentences", "kernel_id": "2045085"}, {"ref": "youhanlee/cnn1d-lstm", "kernel_id": "2046751"}, {"ref": "youhanlee/avengers", "kernel_id": "2063644"}, {"ref": "kaggleczs/lgb-with-features-engineering", "kernel_id": "2179069"}, {"ref": "dannykliu/lstm-with-attention-clr-in-pytorch", "kernel_id": "2352815"}, {"ref": "hippskill/vowpal-wabbit-starter-pack", "kernel_id": "2044295"}, {"ref": "shaz13/deterministic-neural-networks-using-pytorch-re", "kernel_id": "2356456"}, {"ref": "shaz13/feature-engineering-for-nlp-classification", "kernel_id": "2316938"}, {"ref": "jf2333/how-should-we-validate-our-models", "kernel_id": "2589012"}, {"ref": "manrunning/advanced-deep-models-with-pretrained-embeddings", "kernel_id": "2116343"}, {"ref": "manrunning/attention-is-all-you-need-with-embeddings", "kernel_id": "2140126"}, {"ref": "manrunning/dnn-resisual-densenet-lstm-gru-with-doc2vec", "kernel_id": "2106508"}, {"ref": "bharatsingh213/quora-insincere-questions-classification", "kernel_id": "2785884"}, {"ref": "david26694/nb-svm-baseline-trigrams", "kernel_id": "2502126"}, {"ref": "jetouxu/bilstm-attention-kfold-clr-extra-features-bn", "kernel_id": "2621631"}, {"ref": "spurryag/beginner-attempt-at-nlp-workflow", "kernel_id": "2423035"}, {"ref": "louistian/quora", "kernel_id": "2745846"}, {"ref": "fareise/lstm-with-capsule", "kernel_id": "2123966"}, {"ref": "fareise/multi-head-self-attention-for-text-classification", "kernel_id": "2098531"}, {"ref": "donkeys/lda-feature-test", "kernel_id": "2111971"}, {"ref": "hengzheng/pytorch-starter", "kernel_id": "2365723"}, {"ref": "hengzheng/attention-capsule-why-not-both-lb-0-694", "kernel_id": "2346088"}, {"ref": "hengzheng/pytorch-kflod", "kernel_id": "2377148"}, {"ref": "hengzheng/extra-data-with-pos-tag-v3", "kernel_id": "2528595"}, {"ref": "dromosys/notebook-3rd-place", "kernel_id": "2952821"}, {"ref": "dromosys/fast-ai-imdb", "kernel_id": "2411582"}, {"ref": "dromosys/quora-insincere-questions-fast-ai-text-v2", "kernel_id": "2411899"}, {"ref": "dromosys/quora-insincere-qc-with-fastai", "kernel_id": "2828807"}, {"ref": "jayachandra1221/quora", "kernel_id": "2398235"}, {"ref": "dicksonchin93/kfold-tfidf-trial", "kernel_id": "2838955"}, {"ref": "bmmidei/a-simple-bidirectional-lstm-with-glove", "kernel_id": "2484004"}, {"ref": "bmmidei/using-convolution-for-nlp-text-classification", "kernel_id": "2536980"}, {"ref": "cuberti/quora-nlp-classification-problem", "kernel_id": "2271309"}, {"ref": "cuberti/quora-baseline-nbsvm-model", "kernel_id": "2360919"}, {"ref": "fesenkod/quora-3", "kernel_id": "2320456"}, {"ref": "ncsuahlusar/single-rnn-with-4-fold-cv-and-using-attention", "kernel_id": "2513242"}, {"ref": "ncsuahlusar/improve-your-score-with-text-preprocessing", "kernel_id": "2511773"}, {"ref": "beja96/beginner-rnn-with-keras-each-step-explained", "kernel_id": "2415664"}, {"ref": "diansheng/mimic-tensorflow-tutorial-f1-0-62", "kernel_id": "2282520"}, {"ref": "etinuz/fastai-starter-model-based-on-pytorch-starter", "kernel_id": "2695063"}, {"ref": "jialinzhang/text-cnn-quora-question", "kernel_id": "2638616"}, {"ref": "jialinzhang/xgboost-quora-question", "kernel_id": "2604000"}, {"ref": "jialinzhang/lightgbm-quora-question", "kernel_id": "2613588"}, {"ref": "jialinzhang/dnn-quora-question", "kernel_id": "2616817"}, {"ref": "n2cholas/preprocessing-and-cnn-attention-in-tensorflow", "kernel_id": "2646394"}, {"ref": "n2cholas/preprocessing-lstm-in-tensorflow", "kernel_id": "2466999"}, {"ref": "nishankmagoo/quora-insincere-questions-classification", "kernel_id": "2441325"}, {"ref": "hespozel/testing-platform-choose-and-run", "kernel_id": "2358993"}, {"ref": "jatina/quora-insincerity-prediction", "kernel_id": "2433309"}, {"ref": "jinudaniel/lstm-word-embeddings-and-cnn", "kernel_id": "2069316"}, {"ref": "rohandx1996/attention-in-my-class", "kernel_id": "2231861"}, {"ref": "rohandx1996/bad-text-out-of-my-class-rest-pls-pay-attention", "kernel_id": "2235201"}, {"ref": "rohandx1996/cnn-lstm-vs-lstm-vs-n-gram-cnn-vs-n-gram-lstm-cnn", "kernel_id": "2164615"}, {"ref": "joydeb28/regression-please-upvote", "kernel_id": "2053625"}, {"ref": "joydeb28/lstm-please-upvote", "kernel_id": "2140008"}, {"ref": "joydeb28/lstm-with-embedding-please-upvote", "kernel_id": "2376593"}, {"ref": "wakamezake/visualizing-word-vectors", "kernel_id": "2040843"}, {"ref": "pavelholubik/sliced-rnn-keras", "kernel_id": "2193907"}, {"ref": "pavelholubik/keras-srnn", "kernel_id": "2182591"}, {"ref": "pavelholubik/capsulenet", "kernel_id": "2556559"}, {"ref": "blackboards/singlemodel-tfidf-lr-or-lgb", "kernel_id": "2204206"}, {"ref": "hamishdickson/char-level-only-lb0-630", "kernel_id": "2733280"}, {"ref": "hamishdickson/single-rnn-with-4-folds-pca", "kernel_id": "2784235"}, {"ref": "hamishdickson/submission-distributions", "kernel_id": "2610177"}, {"ref": "hamishdickson/using-keras-oov-tokens", "kernel_id": "2668643"}, {"ref": "hsankesara/han-model-experiments", "kernel_id": "2360909"}, {"ref": "hsankesara/quora-embedding-analysis", "kernel_id": "2522722"}, {"ref": "denzo123/exploratory-data-analyis-quora-classification", "kernel_id": "2126432"}, {"ref": "stardust0/naive-bayes-and-logistic-regression-baseline", "kernel_id": "2041655"}, {"ref": "frngo3/quora-insecure-questions-predictions", "kernel_id": "2672772"}, {"ref": "crudelly/lab4-great-solution", "kernel_id": "2161702"}, {"ref": "crudelly/lab4-part2", "kernel_id": "2245887"}, {"ref": "ivtsygankov/fork-of-fork-of-try1-for-toxic", "kernel_id": "2197085"}, {"ref": "dmitriyvaletov/log-reg-on-word-tfidf", "kernel_id": "2577105"}, {"ref": "daobuliao/gru-capsule", "kernel_id": "2323809"}, {"ref": "daobuliao/beating-the-baseline-with-one-weird-trick-67fc1b", "kernel_id": "2307507"}, {"ref": "qlegrand/qiqc-data-preparation", "kernel_id": "2413742"}, {"ref": "alexanderliao/vectorizing-english-sentences-by-infersent", "kernel_id": "2676389"}, {"ref": "salonsai/simple-text-eda-and-lgbm-baseline-lb-0-62", "kernel_id": "2066093"}, {"ref": "alimbekovkz/i-love-clouds-donald-trump-on-top-of-the-world", "kernel_id": "2060227"}, {"ref": "zsn6034/gru-use-every-word-in-sentence-pytorch", "kernel_id": "2271452"}, {"ref": "zsn6034/2gru-2attention-v1", "kernel_id": "2590032"}, {"ref": "anurag16ph20003/quora-insincere-questions-classification", "kernel_id": "2349209"}, {"ref": "takeseven/yours-sincerely-core", "kernel_id": "2747980"}, {"ref": "taohoang/simple-lstm-that-does-the-job", "kernel_id": "2325923"}, {"ref": "mastermindbraveson/data-mining-project", "kernel_id": "2475452"}, {"ref": "tarunpaparaju/quora-attention-bigru-capsule-weightdrop-padam", "kernel_id": "2808639"}, {"ref": "zhengjxu/data-augmentation-with-markov-chain", "kernel_id": "2514886"}, {"ref": "kerch007/quora", "kernel_id": "2526345"}, {"ref": "ratthachat/handle-overfitting-error-analysis-of-glove-gru", "kernel_id": "2081616"}, {"ref": "venkateshradhakrish/xgb-with-dtm-babel-meta-features", "kernel_id": "2227874"}, {"ref": "venkateshradhakrish/3-embeddings-w-aux-feat-bi-lstm-gru-conv-2d", "kernel_id": "2360937"}, {"ref": "blacksix/quora-34th-place-bilstm-gru-single-model", "kernel_id": "2830102"}, {"ref": "viswajithkn/kernel86d7a35dff", "kernel_id": "2278577"}, {"ref": "viswajithkn/lstm-with-glove", "kernel_id": "2295744"}, {"ref": "infoabhitech/quora-submission-sequential-nn-tune-word-embed", "kernel_id": "2802695"}, {"ref": "keyit92/sentiment-cnn-rnn-atte-rnn-cnn-rnn-hiercnn", "kernel_id": "2731882"}, {"ref": "christofhenkel/temporal-convolutional-network", "kernel_id": "2278298"}, {"ref": "christofhenkel/gru-crf", "kernel_id": "2324703"}, {"ref": "christofhenkel/inceptioncnn-with-flip", "kernel_id": "2064329"}, {"ref": "christofhenkel/how-to-preprocessing-when-using-embeddings", "kernel_id": "2090187"}, {"ref": "christofhenkel/jeremys-nbsvm-baseline", "kernel_id": "2042438"}, {"ref": "christofhenkel/keras-starter", "kernel_id": "2038869"}, {"ref": "shramana23/kernel0195ab4e30", "kernel_id": "2764146"}, {"ref": "rasvob/let-s-try-clr-v3", "kernel_id": "2248142"}, {"ref": "ziliwang/pytorch-text-cnn", "kernel_id": "2548178"}, {"ref": "ziliwang/baseline-pytorch-bilstm", "kernel_id": "2159352"}, {"ref": "dineshramasamy/hashing-trick-applied-to-embeddings", "kernel_id": "2165303"}, {"ref": "dineshramasamy/simple-model", "kernel_id": "2137495"}, {"ref": "premvardhan/simple-lstm-model-on-quora-text", "kernel_id": "2823708"}, {"ref": "sergeykalutsky/introducing-bert-with-tensorflow", "kernel_id": "2071263"}, {"ref": "alecthekulak/quora-insincere-questions-basic-models", "kernel_id": "2092890"}, {"ref": "gmhost/different-cnn-units-based-on-kernel-size", "kernel_id": "2117500"}, {"ref": "gmhost/gru-capsule", "kernel_id": "2097410"}, {"ref": "mirodil/quora-insincere-qc-with-fastai", "kernel_id": "2785077"}, {"ref": "ghostiphate/capsule-net", "kernel_id": "2067546"}, {"ref": "thebrownviking20/n-gram-multichannel-bilstm-cnn-embed1", "kernel_id": "2068852"}, {"ref": "thebrownviking20/analyzing-quora-for-the-insinceres", "kernel_id": "2051269"}, {"ref": "zz2k17/simple-cnn-gru", "kernel_id": "2173019"}, {"ref": "tanreinama/insincere-sincere-insincere", "kernel_id": "2665473"}, {"ref": "tanreinama/finding-negative-words", "kernel_id": "2050091"}, {"ref": "bkkaggle/quora-check-coverage", "kernel_id": "2467056"}, {"ref": "bkkaggle/skip-rnn-meta-features-pseudo-labeling", "kernel_id": "2495420"}, {"ref": "bkkaggle/skip-rnn-meta-features-shakeup-prediction", "kernel_id": "2512055"}, {"ref": "bkkaggle/combined-shakeup-prediction", "kernel_id": "2530776"}, {"ref": "bkkaggle/skip-rnn-cv-meta-shakeup-seeds", "kernel_id": "2523025"}, {"ref": "bkkaggle/skip-rnn-cv-meta-shakeup-seeds-5-10", "kernel_id": "2523273"}, {"ref": "bkkaggle/skip-rnn-cv-meta-shakeup-10-15", "kernel_id": "2523274"}, {"ref": "bkkaggle/skip-rnn-cv-meta-shakeup-15-20", "kernel_id": "2523275"}, {"ref": "bkkaggle/shakeup-prediction-template", "kernel_id": "2543030"}, {"ref": "bkkaggle/pytorch-determinism-test", "kernel_id": "2208565"}, {"ref": "bkkaggle/fork-of-quora-other-attention-relu-95k-words-spacy", "kernel_id": "2182848"}, {"ref": "xsakix/all-embeddings-4", "kernel_id": "2274752"}, {"ref": "xsakix/all-embeddings-3", "kernel_id": "2263841"}, {"ref": "xsakix/all-embeddings-5", "kernel_id": "2277211"}, {"ref": "xsakix/all-embeddings-6", "kernel_id": "2282209"}, {"ref": "xsakix/all-embeddings-7", "kernel_id": "2288417"}, {"ref": "xsakix/all-embeddings", "kernel_id": "2247615"}, {"ref": "xsakix/all-embeddings-2", "kernel_id": "2259315"}, {"ref": "xsakix/fourth-try", "kernel_id": "2202240"}, {"ref": "xsakix/embeddings-with-word2vec", "kernel_id": "2217763"}, {"ref": "xsakix/embeddings-with-word2vec-3", "kernel_id": "2234562"}, {"ref": "xsakix/embeddings-with-word2vec-2", "kernel_id": "2232189"}, {"ref": "xsakix/cnn-base-classifier-pretrained-avg-att", "kernel_id": "2377870"}, {"ref": "xsakix/cnn-base-classifier-pretrained-att", "kernel_id": "2376591"}, {"ref": "xsakix/cnn-base-classifier-pretrained", "kernel_id": "2366953"}, {"ref": "xsakix/lstm-classifier-word2vec", "kernel_id": "2358239"}, {"ref": "xsakix/cnn-base-classifier-word2vec", "kernel_id": "2358939"}, {"ref": "xsakix/base-classifier-word2vec", "kernel_id": "2352370"}, {"ref": "xsakix/embeddings-lstm-simple", "kernel_id": "2336562"}, {"ref": "xsakix/all-embeddings-9", "kernel_id": "2289026"}, {"ref": "xsakix/cnn-word2vec", "kernel_id": "2291587"}, {"ref": "xsakix/torch-with-clr", "kernel_id": "2587578"}, {"ref": "xsakix/torch-with-validation-and-test", "kernel_id": "2582122"}, {"ref": "xsakix/torch-clr-train-pretrianed", "kernel_id": "2594434"}, {"ref": "xsakix/torch-clr-unfreeze", "kernel_id": "2592464"}, {"ref": "xsakix/torch-chaos-clr", "kernel_id": "2597070"}, {"ref": "xsakix/cnn-base-classifier-fold-meta-2", "kernel_id": "2552560"}, {"ref": "xsakix/cnn-base-classifier-fold-unfreeze-meta-v4", "kernel_id": "2549381"}, {"ref": "xsakix/bilstm-base-classifier-fold-unfreeze-meta-v2", "kernel_id": "2557075"}, {"ref": "xsakix/torch-first", "kernel_id": "2569495"}, {"ref": "xsakix/cnn-base-classifier-fold-meta-v3", "kernel_id": "2548163"}, {"ref": "xsakix/cnn-base-classifier-fold-meta", "kernel_id": "2545066"}, {"ref": "xsakix/cnn-base-classifier-fold-unfreeze-avg-weights", "kernel_id": "2545084"}, {"ref": "xsakix/cnn-base-classifier-fold-unfreeze-meta-v2", "kernel_id": "2545106"}, {"ref": "xsakix/cnn-base-classifier-fold-unfreeze-meta", "kernel_id": "2539372"}, {"ref": "xsakix/separable-cnn-base-classifier-fold-unfreeze", "kernel_id": "2534489"}, {"ref": "xsakix/base-classifier-fold", "kernel_id": "2522607"}, {"ref": "xsakix/bilstm-att-base-classifier-residua-word2vec", "kernel_id": "2517549"}, {"ref": "xsakix/base-classifier-fold-unfreeze", "kernel_id": "2530252"}, {"ref": "xsakix/bilstm-att-base-res-clr-unfreeze", "kernel_id": "2531345"}, {"ref": "xsakix/glove-base-fold-unfreeze", "kernel_id": "2532571"}, {"ref": "xsakix/cnn-base-classifier-fold-unfreeze", "kernel_id": "2532326"}, {"ref": "xsakix/bilstm-base-classifier-fold", "kernel_id": "2526421"}, {"ref": "xsakix/para-filter-bilstm-att", "kernel_id": "2465234"}, {"ref": "xsakix/wiki-filter-bilstm-att", "kernel_id": "2465235"}, {"ref": "xsakix/word2vec-filter-bilstm-att", "kernel_id": "2465221"}, {"ref": "xsakix/glove-filter-bilstm-att", "kernel_id": "2465225"}, {"ref": "xsakix/filter-bilstm-att-base", "kernel_id": "2464363"}, {"ref": "xsakix/lstm-baseline-spacy", "kernel_id": "2437580"}, {"ref": "xsakix/filter-bilstm-base-ntlk", "kernel_id": "2456798"}, {"ref": "xsakix/filter-bilstm-base", "kernel_id": "2456891"}, {"ref": "xsakix/filter-bilstm-base-spacy", "kernel_id": "2449610"}, {"ref": "xsakix/bilstm-att-base-classifier-all-emb-2-train-on-acc", "kernel_id": "2402226"}, {"ref": "xsakix/cnn-base-classifier-all-emb-vall-acc", "kernel_id": "2402261"}, {"ref": "xsakix/all-embeddings-f1", "kernel_id": "2403372"}, {"ref": "xsakix/bilstm-att-base-classifier-pretrained", "kernel_id": "2403890"}, {"ref": "xsakix/bilstm-att-base-classifier-word2vec", "kernel_id": "2403891"}, {"ref": "xsakix/bilstm-att-base-classifier-word2vec-f1", "kernel_id": "2412318"}, {"ref": "xsakix/cnn-word2vec-experiment", "kernel_id": "2413687"}, {"ref": "xsakix/cnn-baseline-spacy", "kernel_id": "2434233"}, {"ref": "xsakix/baseline-spacy", "kernel_id": "2432113"}, {"ref": "xsakix/baseline-2", "kernel_id": "2428789"}, {"ref": "xsakix/baseline", "kernel_id": "2418612"}, {"ref": "xsakix/torch-lstm-word2vec", "kernel_id": "2640775"}, {"ref": "xsakix/torch-lstm-glove-para-2", "kernel_id": "2634425"}, {"ref": "xsakix/torch-lstm-mean", "kernel_id": "2622573"}, {"ref": "xsakix/torch-lstm-2", "kernel_id": "2615665"}, {"ref": "xsakix/torch-lstm", "kernel_id": "2603275"}, {"ref": "xsakix/torch-train-pretrianed", "kernel_id": "2609097"}, {"ref": "xsakix/torch-lstm-train-pretrained", "kernel_id": "2609757"}, {"ref": "xsakix/torch-ensemble-in-one-model", "kernel_id": "2698898"}, {"ref": "xsakix/torch-lstm-att", "kernel_id": "2690638"}, {"ref": "xsakix/torch-ensemble", "kernel_id": "2672853"}, {"ref": "xsakix/torch-cnn-lstm", "kernel_id": "2674341"}, {"ref": "xsakix/bilstm-meta-v2", "kernel_id": "2748645"}, {"ref": "xsakix/pytorch-bilstm-meta-v2", "kernel_id": "2760636"}, {"ref": "jaguar00/xgboost-baseline", "kernel_id": "2216042"}, {"ref": "dhirus/improve-your-score-with-some-text-preprocessing", "kernel_id": "2403483"}, {"ref": "dhirus/quora-classification-challenge", "kernel_id": "2073235"}, {"ref": "danghle/pad-length-experiments", "kernel_id": "2619574"}, {"ref": "mnpinto/quora-fastai-v1-0-baseline", "kernel_id": "2479188"}, {"ref": "ammario/no-embedding", "kernel_id": "2279336"}, {"ref": "ajaymanwani/analysis-prediction-with-naive-bayes-classifier", "kernel_id": "2477678"}, {"ref": "econdata/quora5", "kernel_id": "2844323"}, {"ref": "econdata/quora-insincere-question-classification", "kernel_id": "2699759"}, {"ref": "econdata/quora3", "kernel_id": "2809029"}, {"ref": "econdata/quora-insincere-questions-sorting", "kernel_id": "2792536"}, {"ref": "tata1983/quora-insincere-fake-questions-naive-b", "kernel_id": "2189408"}, {"ref": "robindong/pooling-is-all-you-need", "kernel_id": "2724999"}, {"ref": "spomatthews/quora-intoxicated-and-out-of-control", "kernel_id": "2086558"}, {"ref": "ordosnb/ben-s-quora-insincere-questions-classification", "kernel_id": "2391050"}, {"ref": "suicaokhoailang/magic-numbers-is-all-you-need-0-692-lb", "kernel_id": "2211908"}, {"ref": "suicaokhoailang/lstm-attention-baseline-0-672-lb", "kernel_id": "2046388"}, {"ref": "suicaokhoailang/blending-with-linear-regression-0-688-lb", "kernel_id": "2120591"}, {"ref": "suicaokhoailang/beating-the-baseline-with-one-weird-trick-0-691", "kernel_id": "2156898"}, {"ref": "mikexia/kernela488168da3", "kernel_id": "2594361"}, {"ref": "thtonmoy/insincere-questions-gru-with-attention-mechanism", "kernel_id": "2505701"}, {"ref": "jihangz/lt-conc-g-f-lg-mean-g-p-light", "kernel_id": "2830135"}, {"ref": "jihangz/20th-solution-4-folds-2-models-mixed-loss", "kernel_id": "2951428"}, {"ref": "ericma/lstm-embeddings", "kernel_id": "2725247"}, {"ref": "eligijus/rnn-spell-checker", "kernel_id": "2525409"}, {"ref": "eligijus/k-fold-analysis-for-the-main-code", "kernel_id": "2581043"}, {"ref": "sunilcube/deal-with-text-data", "kernel_id": "2873802"}, {"ref": "leighplt/glove-wiki-gnews-full-set", "kernel_id": "2826540"}, {"ref": "chenshengabc/fork-bilstm-attention-kfold-clr-extra-features", "kernel_id": "2580001"}, {"ref": "emarkhauser/quora-insincere-prediction-naive-bayes", "kernel_id": "2191800"}, {"ref": "benedictldm/quora-comp", "kernel_id": "2621859"}, {"ref": "mlisovyi/vowpal-wabbit-linear-baseline", "kernel_id": "2042113"}, {"ref": "kanishk01234/a-look-at-different-embeddings", "kernel_id": "2096346"}, {"ref": "tri326/tri666", "kernel_id": "2449642"}, {"ref": "oysiyl/starter-notebook-with-simple-neural-networks", "kernel_id": "2164842"}, {"ref": "gordonbry/practice-kaggle", "kernel_id": "2518259"}, {"ref": "sundarshahi/eda-quora-insincere-question", "kernel_id": "2267791"}, {"ref": "zhaozhihao/pytorch-kfold-clr", "kernel_id": "2614313"}, {"ref": "zhaozhihao/i-like-run-script-kfold-clr-feat-thanks", "kernel_id": "2610026"}, {"ref": "alexandruuu/tfidf-tree-model", "kernel_id": "2395669"}, {"ref": "alexandruuu/glove-tree-model", "kernel_id": "2395941"}, {"ref": "alexandruuu/glove-xgboost", "kernel_id": "2396553"}, {"ref": "alexandruuu/preprocessing-bilstm", "kernel_id": "2805061"}, {"ref": "alexandruuu/spacy-preprocessing", "kernel_id": "2121057"}, {"ref": "alexandruuu/first-submission", "kernel_id": "2119109"}, {"ref": "alexandruuu/constant-submission", "kernel_id": "2120270"}, {"ref": "alexandruuu/glove-lr-cv", "kernel_id": "2347764"}, {"ref": "vectors/quoraversion-1", "kernel_id": "2625250"}, {"ref": "grmunjal/r-keras-0-673", "kernel_id": "2193102"}, {"ref": "mysterious123/lstm-gru-addfeatures-keras", "kernel_id": "2623463"}, {"ref": "hamzahkhan/firsttry", "kernel_id": "2050646"}, {"ref": "vinaychuri/first-kaggle-kernel-eda-and-then-predict", "kernel_id": "2048782"}, {"ref": "ymatioun/quora-lightgbm-v3", "kernel_id": "2056940"}, {"ref": "sid2073/quora-kaggle-competition", "kernel_id": "2335640"}, {"ref": "czk2014/textcnn", "kernel_id": "2573503"}, {"ref": "zengyao/cnn-lstm-atten-res", "kernel_id": "2458138"}, {"ref": "akhiljayaprakash/cnn-v1", "kernel_id": "2317323"}, {"ref": "zikazika/natural-language-processing-theory-and-practice", "kernel_id": "2388651"}, {"ref": "zikazika/predicting-sickness-with-weather-data", "kernel_id": "2416323"}, {"ref": "mgancita/logit-regression-detailed-building-of-lstm-model", "kernel_id": "2266587"}, {"ref": "yshubham/complex-model", "kernel_id": "2599717"}, {"ref": "yshubham/attention-on-bi-lstm-hidden-states-forked", "kernel_id": "2592247"}, {"ref": "ebbygorg/fork-of-gamma-bianli-feature-1-1-i-16", "kernel_id": "2840454"}, {"ref": "kiranvajrapu/try-ensemblevoteclassifier", "kernel_id": "2108215"}, {"ref": "kiranvajrapu/kernele02dea8fac", "kernel_id": "2069649"}, {"ref": "amokrane/eda-and-text-classification-with-scikit-learn", "kernel_id": "2092153"}, {"ref": "tejakallakuri1714/quora-classify-v1", "kernel_id": "2072892"}, {"ref": "akhileshrai003/quora-text-classification-class-imbalance-problem", "kernel_id": "2531810"}, {"ref": "akhileshrai003/quora-text-classification", "kernel_id": "2809878"}, {"ref": "chewzy/benchmark-exercise-using-naive-bayes-classifier", "kernel_id": "2193493"}, {"ref": "lyutry/textcnn-first", "kernel_id": "2548984"}, {"ref": "dilapsky/decrease-lr-local-f1-0-7432", "kernel_id": "2655599"}, {"ref": "hung96ad/pytorch-starter", "kernel_id": "2427074"}, {"ref": "hung96ad/magic-numbers-is-all-you-need-0-696-lb", "kernel_id": "2320010"}, {"ref": "sreshtha/quora-insincere-questions-classification", "kernel_id": "2708772"}, {"ref": "naraque/bilstm-with-timedistributed", "kernel_id": "2706928"}, {"ref": "darryldias/data-analysis-dd9", "kernel_id": "2050804"}, {"ref": "anweshasinha/lstm-is-all-you-need-well-maybe-embeddings-also", "kernel_id": "2393843"}, {"ref": "tboyle10/stacking-cnn-google-news-vectors", "kernel_id": "2545502"}, {"ref": "tboyle10/lstm-google-news-vectors", "kernel_id": "2599256"}, {"ref": "tboyle10/lstm-attention", "kernel_id": "2651722"}, {"ref": "tboyle10/cnn-google-news-vectors", "kernel_id": "2312072"}, {"ref": "tboyle10/baseline-models-with-upsampling", "kernel_id": "2255463"}, {"ref": "tboyle10/embedding-cnn", "kernel_id": "2258547"}, {"ref": "tboyle10/quora-questions-topic-modeling", "kernel_id": "2228011"}, {"ref": "tboyle10/baseline-models-with-downsampling", "kernel_id": "2231474"}, {"ref": "tboyle10/quora-insincere-questions-eda", "kernel_id": "2152853"}, {"ref": "amiryousefi1/third-model", "kernel_id": "2217448"}, {"ref": "takanobu0210/simple-eda", "kernel_id": "2250755"}, {"ref": "rajmehra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "2555556"}, {"ref": "tombury182/profanity-in-quora-questions", "kernel_id": "2511554"}, {"ref": "yesheng1984/pytorch-weightdroplstm", "kernel_id": "2431443"}, {"ref": "garydf/fork-from-bilstm-attention-kfold-0115", "kernel_id": "2637990"}, {"ref": "lpdataninja/data-science-glossary-8-naive-bayes", "kernel_id": "2542904"}, {"ref": "praburocking/text-prediction-nn", "kernel_id": "2313609"}, {"ref": "praburocking/text-preprocessing", "kernel_id": "2581211"}, {"ref": "praburocking/text-prediction-revisit", "kernel_id": "2479946"}, {"ref": "kbhartiya83/toxic-quora", "kernel_id": "2382693"}, {"ref": "kbhartiya83/sincere-quora", "kernel_id": "2376803"}, {"ref": "taranhundal/kernel8ebd6016b8", "kernel_id": "2142967"}, {"ref": "smitpatel/single-arch-no-threshold-v1", "kernel_id": "2327809"}, {"ref": "smitpatel/eda-v1", "kernel_id": "2307135"}, {"ref": "braquino/fusion-of-blended-models-in-one-need-help", "kernel_id": "2142908"}, {"ref": "eyobwg/eeze-s", "kernel_id": "2186718"}, {"ref": "tipith/word-embeddings-test", "kernel_id": "2136633"}, {"ref": "nrr1509/twitter-embeddings", "kernel_id": "2601038"}, {"ref": "r1cky7/101st-place-solution", "kernel_id": "2955373"}, {"ref": "satian/finding-insincerity-with-dpcnn-glove-embeddings", "kernel_id": "2106886"}, {"ref": "satian/a-look-at-different-embeddings-with-attention", "kernel_id": "2075204"}, {"ref": "navneetkr123/handwritten-digit-recognition-using-random-forest2", "kernel_id": "2273754"}, {"ref": "navneetkr123/quoratry1", "kernel_id": "2424688"}, {"ref": "shivamkushwaha/cnn-with-tanh-and-sigmoid", "kernel_id": "2839595"}, {"ref": "isikkuntay/keeping-it-insincere", "kernel_id": "2409525"}, {"ref": "isikkuntay/gru-with-attention", "kernel_id": "2913972"}, {"ref": "pratikmirani/quora-lstm", "kernel_id": "2050477"}, {"ref": "neha2456/cnn-for-insincere-analysis", "kernel_id": "2221497"}, {"ref": "neha2456/preprocessing-for-insincere-quora-questions", "kernel_id": "2199459"}, {"ref": "snanurag/simple-kernel-glove-and-lstm-only-0-688", "kernel_id": "2317779"}, {"ref": "chandanadiga/analysis-of-quora-insincere-questions-training-set", "kernel_id": "2378571"}, {"ref": "kalyankkr/quora-questions-insincere-words", "kernel_id": "2112505"}, {"ref": "hongyuers/textcnn-with-glove-baseline", "kernel_id": "2150401"}, {"ref": "siddhrath/kernelad91950b66", "kernel_id": "2752355"}, {"ref": "siddhrath/using-cnn", "kernel_id": "2752358"}, {"ref": "flubber/simple-text-classification", "kernel_id": "2282711"}, {"ref": "hrishighade/quora-hrishi", "kernel_id": "2088268"}, {"ref": "theoviel/improve-your-score-with-text-preprocessing-v2", "kernel_id": "2244703"}, {"ref": "theoviel/should-you-clean-your-data", "kernel_id": "2090924"}, {"ref": "theoviel/dealing-with-class-imbalance-with-smote", "kernel_id": "2100682"}, {"ref": "theoviel/using-word-embeddings-for-data-augmentation", "kernel_id": "2110051"}, {"ref": "theoviel/improve-your-score-with-some-text-preprocessing", "kernel_id": "2140800"}, {"ref": "theoviel/quora-final-submission", "kernel_id": "2829468"}, {"ref": "arretvice/dcq-with-attention-layer-stack-of-models", "kernel_id": "2163582"}, {"ref": "arretvice/detecting-caustic-questions-on-quora", "kernel_id": "2045361"}, {"ref": "shubham0101/simple-approch", "kernel_id": "2434617"}, {"ref": "shubham0101/a-basic-nlp-approch", "kernel_id": "2458728"}, {"ref": "shubham0101/using-nlp-basics", "kernel_id": "2317329"}, {"ref": "sdelecourt/simple-lstm-that-does-the-job", "kernel_id": "2055888"}, {"ref": "wasil11/cudnn-gru-f1-threshold", "kernel_id": "2827438"}, {"ref": "iamrahulcse/data-visualisation-technique", "kernel_id": "2993655"}, {"ref": "modmari/omg-this-eda-is-creazy", "kernel_id": "2288337"}, {"ref": "bhasha4995dushara/quora-insincere-questions-classification-beginner", "kernel_id": "2080023"}, {"ref": "matsuik/maxlen70-ensemble-w-o-lstm-para-elu-optuna", "kernel_id": "2807179"}, {"ref": "noamfrank/quora-classification-with-random-forest-model", "kernel_id": "2796334"}, {"ref": "reenashine/kerneld71be09c11", "kernel_id": "2170992"}, {"ref": "mohith7548/my-notebook-2", "kernel_id": "2200776"}, {"ref": "gn53720366/different-embeddings", "kernel_id": "2478871"}, {"ref": "gn53720366/test-quora", "kernel_id": "2435782"}, {"ref": "ufoo68/mix-of-nn-models-and-embeddings-preprocessing", "kernel_id": "2158901"}, {"ref": "fredma/glove-quora-insincere-model", "kernel_id": "2309757"}, {"ref": "fredma/comb-quora-insincere-model", "kernel_id": "2437207"}, {"ref": "kobynim/quora-questions-revealed-zbn-kn-nf-1-2019-v7", "kernel_id": "2561086"}, {"ref": "emberlilly/textanalytics-quora", "kernel_id": "2707411"}, {"ref": "abhishekmisra96/a-look-at-different-embeddings", "kernel_id": "2839129"}, {"ref": "walidbachri/final-predictions", "kernel_id": "2690279"}, {"ref": "wangcong95/qicq-final-kernel", "kernel_id": "2680812"}, {"ref": "vishalpentakota/simple-exploration-notebook-qiqc", "kernel_id": "2046620"}, {"ref": "jmourad100/fork-of-nlp-text-analytics-quora-insincere-quest", "kernel_id": "2636940"}, {"ref": "jmourad100/nlp-text-analytics-quora-insincere-questions", "kernel_id": "2620933"}, {"ref": "sedrak/quora-code", "kernel_id": "2762848"}, {"ref": "riblu123/quora-insincerity-prediction", "kernel_id": "2099542"}, {"ref": "eglyph/qiqc-the-sentiment-analysis-way", "kernel_id": "2047160"}, {"ref": "anamalf/kernelc4e0967fb8", "kernel_id": "2707475"}, {"ref": "anamalf/kernel36c3e325a9", "kernel_id": "2709263"}, {"ref": "anamalf/kernelf16e394d8b", "kernel_id": "2708915"}, {"ref": "anamalf/kernel8ae110303b", "kernel_id": "2981196"}, {"ref": "anaswaraelizabeth/word2-vec-assignment2", "kernel_id": "2708924"}, {"ref": "anaswaraelizabeth/insincere-data", "kernel_id": "2707489"}, {"ref": "srujanperam/basic-text-mining", "kernel_id": "2546938"}, {"ref": "abhilashganji/text-classification", "kernel_id": "2540508"}, {"ref": "dkmerona/dpcnn-try", "kernel_id": "2074649"}, {"ref": "dkmerona/simple-parallele-cnn-with-2-epoch", "kernel_id": "2063618"}, {"ref": "ruijiezheng2022/single-lstm", "kernel_id": "2731803"}, {"ref": "ruijiezheng2022/one-layer-lstm", "kernel_id": "2731049"}, {"ref": "ruijiezheng2022/single-layer-lstm", "kernel_id": "2707453"}, {"ref": "sreekarchidurala/text-classification-ml", "kernel_id": "2540174"}, {"ref": "hoangpham51/getting-start-with-nltk", "kernel_id": "2089495"}, {"ref": "kartik4949/fakenewsclassifierlstm", "kernel_id": "2413114"}, {"ref": "wajnryt/completely-lost-start-here-preprocessing-code", "kernel_id": "2073778"}, {"ref": "rishabhjain2764/quora-insincere-tfidf", "kernel_id": "2415388"}, {"ref": "rishabhjain2764/word-embeddings-with-glove", "kernel_id": "2655390"}, {"ref": "agtadarsh/tfidf-linearsvc-metafeatures", "kernel_id": "2470973"}, {"ref": "agtadarsh/kernel3a4631cfcd", "kernel_id": "2719263"}, {"ref": "agtadarsh/tfidf-linearsvm-1", "kernel_id": "2392512"}, {"ref": "abtexp/quora-qs", "kernel_id": "2058476"}, {"ref": "aigruszka/data-analysis-and-useful-functions", "kernel_id": "2056275"}, {"ref": "rockmanxdi/quora-toxic-comment-classification-challenge", "kernel_id": "2229521"}, {"ref": "sigmoide/eda01", "kernel_id": "2428528"}, {"ref": "alexfilippov/second", "kernel_id": "2316886"}, {"ref": "alexfilippov/first-commit", "kernel_id": "2314310"}, {"ref": "alexfilippov/quora-lda-model", "kernel_id": "2619347"}, {"ref": "kfujikawa/word2vec-fine-tuning", "kernel_id": "2987782"}, {"ref": "sfzero/fork-of-gamma-bianli-feature-1-1-i-16", "kernel_id": "2763861"}, {"ref": "sfzero/focal-loss-feature-0-99994", "kernel_id": "2746764"}, {"ref": "sfzero/focal-loss-holdout-gamma-0-99999", "kernel_id": "2746970"}, {"ref": "oaref92/quora-text-trial", "kernel_id": "2436842"}, {"ref": "frtgnn/beginner-s-stop-to-text-data-an-introduction", "kernel_id": "2050466"}, {"ref": "frtgnn/introduction-to-pytorch-a-very-gentle-start", "kernel_id": "2531357"}, {"ref": "deffro/text-pre-processing-techniques", "kernel_id": "2094400"}, {"ref": "mkariithi/eda-and-lstm-cnn", "kernel_id": "2090045"}, {"ref": "mkariithi/simple-exploration-notebook-qiqc-9d72ab", "kernel_id": "2059193"}, {"ref": "nawaz18069/lstm-test-embendings", "kernel_id": "2279019"}, {"ref": "shreyansh20/quora-answers-analyzed", "kernel_id": "2753260"}, {"ref": "jazivxt/where-d-you-get-the-beauty-scar-tough-guy", "kernel_id": "2085610"}, {"ref": "michelkouassi/quora-challenge", "kernel_id": "2817913"}, {"ref": "tankist88/rnn-gru-attention-ensemble-lr", "kernel_id": "2784613"}, {"ref": "tankist88/quora-insincere-questions-cnn-ensemble", "kernel_id": "2618043"}, {"ref": "helenshka/topics-modeling-with-gensim", "kernel_id": "2278891"}, {"ref": "stefanobromuri/smoted-but-it-did-not-work-very-well", "kernel_id": "2780353"}, {"ref": "zhangyuml/2018111721", "kernel_id": "2126239"}, {"ref": "cristianossd/tf-idf-approach-on-insincere-questions", "kernel_id": "2133426"}, {"ref": "cristianossd/lstm-without-word-embeddings", "kernel_id": "2256029"}, {"ref": "cristianossd/count-vectorizer-with-logistic-regression", "kernel_id": "2240051"}, {"ref": "lordskloore2/quora-compo", "kernel_id": "2613566"}, {"ref": "loktev/3x-gru-w-attn", "kernel_id": "2820934"}, {"ref": "grantsw82/simple-tfidf-without-stem-lem-token", "kernel_id": "2501414"}, {"ref": "argonalyst/simple-and-fast-approach-lb-0-61", "kernel_id": "2077093"}, {"ref": "maksad/quora-insincere-question-classif-with-fasttext", "kernel_id": "2785081"}, {"ref": "tgregory98/quora-notebook-glove-embedding-lstm", "kernel_id": "2403237"}, {"ref": "tgregory98/quora-notebook-naive-bayes-attempt", "kernel_id": "2503442"}, {"ref": "xiuligu/gru-for-insincere-analysis", "kernel_id": "2220173"}, {"ref": "kathy0603/sequence-model-with-embedding", "kernel_id": "2344676"}, {"ref": "kathy0603/quora-insincere-questions-classification", "kernel_id": "2153236"}, {"ref": "ilazarevsky/quora-baseline", "kernel_id": "2510905"}, {"ref": "nagarajanngl/quora-classification-by-using-ml", "kernel_id": "2355319"}, {"ref": "yufuin/subword-only-model", "kernel_id": "2858880"}, {"ref": "alaric81li215/eda-ml-for-beginners-by-a-beginner-bonus-on-qid", "kernel_id": "2094293"}, {"ref": "alaric81li215/insights-on-questions-id", "kernel_id": "2141407"}, {"ref": "evaart/nlp-with-ml", "kernel_id": "2093232"}, {"ref": "wil2210/nlp-with-machine-learning-mnb", "kernel_id": "2298914"}, {"ref": "wil2210/eda-nlp-ml", "kernel_id": "2102194"}, {"ref": "fredkron/let-s-begin-with-nlp-eda-ml", "kernel_id": "2099216"}, {"ref": "parvathich/lstm-with-pre-processed-inputs", "kernel_id": "2330518"}, {"ref": "stevexyu/fasttext-from-keras", "kernel_id": "2818414"}, {"ref": "academycalbastard/blending-with-linear-regression-0-688-lb-5d53c4", "kernel_id": "2308445"}, {"ref": "academycalbastard/magic-numbers-finder-no-cv-clr", "kernel_id": "2308308"}, {"ref": "magnusmcm/kenet", "kernel_id": "2402770"}, {"ref": "hariprasathkag/quora-insincere-questions", "kernel_id": "2746907"}, {"ref": "hariprasathkag/quora-insincere-word2vec", "kernel_id": "2748122"}, {"ref": "mnm813/lstm-test-embendings", "kernel_id": "2306601"}, {"ref": "reatank/linears", "kernel_id": "2590742"}, {"ref": "reatank/convnns", "kernel_id": "2582441"}, {"ref": "reatank/rnn-cnn", "kernel_id": "2583505"}, {"ref": "anjumanoj/project2", "kernel_id": "2362410"}, {"ref": "maguirebrian/kernel994a1c3216", "kernel_id": "2479542"}, {"ref": "markyu225/test3", "kernel_id": "2358174"}, {"ref": "moreaniani/thenotebookwithlaba", "kernel_id": "2161758"}, {"ref": "blanderbuss/quora-notebook", "kernel_id": "2160363"}, {"ref": "igormorenets/notebook-for-the-ml-university-class", "kernel_id": "2160375"}, {"ref": "penfriend/kernel6ef50a2a65", "kernel_id": "2160393"}, {"ref": "qhd0081/fork-of-gamma-bianli-feature-1-1-i-16", "kernel_id": "2820687"}, {"ref": "qhd0081/qhd-qiqc-final", "kernel_id": "2725387"}, {"ref": "skumar2007ctae/accuracy-of-different-models", "kernel_id": "2630703"}, {"ref": "sunmeier/scriptf", "kernel_id": "2195395"}, {"ref": "cchyun/qiqc-pytorch-2", "kernel_id": "2672548"}, {"ref": "qibajiu/nlpproject", "kernel_id": "2565330"}, {"ref": "chinmayzare/chinmay-mrinmayi-ee-258", "kernel_id": "2400322"}, {"ref": "robertke94/pytorch-bi-lstm-attention", "kernel_id": "2315932"}, {"ref": "robertke94/pytorch-bi-lstm", "kernel_id": "2297332"}, {"ref": "robertke94/pytorch-textcnn", "kernel_id": "2280251"}, {"ref": "robertke94/pytorch-textcnn-relu", "kernel_id": "2288206"}, {"ref": "tangyuemeng/just-trying", "kernel_id": "2570849"}, {"ref": "fachrozi/text-processing", "kernel_id": "2822301"}, {"ref": "katerinaptv/srnnwith4clr", "kernel_id": "2385859"}, {"ref": "sinkevichanastasiya/nastuhatashit", "kernel_id": "2329670"}, {"ref": "rostyslavrozhko/rostyslavrozhko", "kernel_id": "2347693"}, {"ref": "carrieisaacson/quora-step-1-clean-and-preprocess-documents", "kernel_id": "2572556"}, {"ref": "saiprp/simple-eda-for-qiqc-problem", "kernel_id": "2359445"}, {"ref": "damaoguo/quora-eda", "kernel_id": "2450801"}, {"ref": "dazhahao/pytorch-textcnn-starter-fork-fork", "kernel_id": "2471971"}, {"ref": "canming/ensemble-mean-iii-64-36", "kernel_id": "2780071"}, {"ref": "zwscuter/pytorch-starter", "kernel_id": "2542942"}, {"ref": "sameerdev7/quora-classification-cnn-lstm", "kernel_id": "2985458"}, {"ref": "moshizhiyinof401/moshi-s", "kernel_id": "2591111"}, {"ref": "mailyousufkhan/quora-insincere-questions-classification", "kernel_id": "2742417"}, {"ref": "cjatto99vtz/quoratimepass", "kernel_id": "2726229"}, {"ref": "shubhamkanodia/quora-diff-embeddings", "kernel_id": "2775220"}, {"ref": "lapolonio/introducing-bert-with-tensorflow", "kernel_id": "3052895"}, {"ref": "mlwhiz/parallelization-kernel", "kernel_id": "3769255"}, {"ref": "mlwhiz/textcnn-pytorch-and-keras", "kernel_id": "3175061"}, {"ref": "mlwhiz/attention-pytorch-and-keras", "kernel_id": "3188908"}, {"ref": "mlwhiz/bilstm-pytorch-and-keras", "kernel_id": "3184431"}, {"ref": "mlwhiz/ulmfit", "kernel_id": "3227211"}, {"ref": "skathirmani/tm-bng-may-2019", "kernel_id": "3973002"}, {"ref": "skathirmani/jigsaw-march-2019-2", "kernel_id": "3444542"}, {"ref": "bruno16/fork-from-bilstm-attention-kfold-0115-81a8d-a9d9b1", "kernel_id": "3356850"}, {"ref": "zeinabbanoo/textproc-keras", "kernel_id": "3110625"}, {"ref": "shilpiagrawal1/kernel11e8e4a898", "kernel_id": "3812988"}, {"ref": "shilpiagrawal1/kernelce525abffc", "kernel_id": "3802180"}, {"ref": "advaitsave/lstm-using-tensorflow-2-with-embeddings", "kernel_id": "3375100"}, {"ref": "leekltw1/transformer", "kernel_id": "3015263"}, {"ref": "saiadityag/imdb-sentiment-sai-aditya-garlapati", "kernel_id": "3245250"}, {"ref": "shubhanshugupta/quora-insincere-question-using-word-embeddings", "kernel_id": "3481835"}, {"ref": "shubhanshugupta/quora-insincere-question-classification", "kernel_id": "3421751"}, {"ref": "bharath25/quora-qt", "kernel_id": "3674804"}, {"ref": "glungu/lstm-embeddings-ensemble", "kernel_id": "3653925"}, {"ref": "glungu/quora-3-gram-benchmark", "kernel_id": "3440836"}, {"ref": "nicke1/text-classification-from-data-prep-perspective", "kernel_id": "3051293"}, {"ref": "yeayates21/stacknet-submission-alternative-method-public", "kernel_id": "3009006"}, {"ref": "abhishekavula/kernelfa11833d59", "kernel_id": "3972996"}, {"ref": "marykh/insincere-questions-classification-fastai-example", "kernel_id": "3194641"}, {"ref": "shrutimechlearn/nlp-bag-of-words-full-concept-with-quora", "kernel_id": "3584290"}, {"ref": "return19/kernela7fdf4ba3a", "kernel_id": "3518655"}, {"ref": "evgeneus/quara-rnn-baseline", "kernel_id": "3178034"}, {"ref": "mihaimihailescu/naive-bayes", "kernel_id": "3262799"}, {"ref": "cyy2427/quora-bilstm", "kernel_id": "3849064"}, {"ref": "lundet/baseclassifier-tfidf-svm", "kernel_id": "3389823"}, {"ref": "lundet/baseclassifier-neural-network", "kernel_id": "3382263"}, {"ref": "naka2ka/stack-480-speedup-groupkfold-with-no-dict", "kernel_id": "3406025"}, {"ref": "suchith0312/second-explore", "kernel_id": "3149442"}, {"ref": "shaz13/revised-base-models-in-pytorch-notebook", "kernel_id": "3974927"}, {"ref": "adarsh415/jigsaw-classification-problem", "kernel_id": "3608905"}, {"ref": "cuberti/2nd-try-at-quora-with-fastai-after-the-fact", "kernel_id": "3176575"}, {"ref": "mathorius/simple-insincere-text-classification", "kernel_id": "3506042"}, {"ref": "kavyarall/quora-text-classification-493662", "kernel_id": "3302046"}, {"ref": "kavyarall/imdb-sentiment-word2vec", "kernel_id": "3306413"}, {"ref": "kavyarall/quora", "kernel_id": "3307831"}, {"ref": "tarunpaparaju/jigsaw-competition-eda-and-modeling", "kernel_id": "3495165"}, {"ref": "ratthachat/workshop-text-classification-quora", "kernel_id": "3305531"}, {"ref": "aadilsrivastava01/data-exploration-base-line-model-qiqc", "kernel_id": "3552617"}, {"ref": "aadilsrivastava01/qiqc-preprocessing-for-dl-with-embeddings", "kernel_id": "3571156"}, {"ref": "xfffrank/tfidf-stemming", "kernel_id": "3357606"}, {"ref": "xfffrank/gru-with-preprocessed-embeddings", "kernel_id": "3569651"}, {"ref": "xfffrank/gru-noembeddings", "kernel_id": "3567576"}, {"ref": "xfffrank/fasttextclassification", "kernel_id": "3633607"}, {"ref": "amarnathreddy/word2vec-model", "kernel_id": "3244785"}, {"ref": "locnguyen14/naive-bayes", "kernel_id": "3411546"}, {"ref": "kbarun/yelp-reviews-word2vec-sentiment-analysis", "kernel_id": "3243794"}, {"ref": "gayathrireddy/text-classification-word2vec", "kernel_id": "3109796"}, {"ref": "leighplt/pytorch-torchtext-glove", "kernel_id": "3438091"}, {"ref": "oysiyl/107-place-solution-using-public-kernel", "kernel_id": "3029785"}, {"ref": "huikang/keras-tokeniser", "kernel_id": "3065616"}, {"ref": "vishwarrior/yelp-assignment", "kernel_id": "3198835"}, {"ref": "gangwareshita/assignment-2", "kernel_id": "3197026"}, {"ref": "wei213/cnn-with-googlenews", "kernel_id": "3495978"}, {"ref": "amokrane/quora-classification-with-logistic-regression", "kernel_id": "3026530"}, {"ref": "zwblank/lstm-cnn", "kernel_id": "3350646"}, {"ref": "adhamsuliman1993/nlp-with-cnn", "kernel_id": "3288000"}, {"ref": "andrelmfarias/simple-1-layer-gru", "kernel_id": "3265862"}, {"ref": "andrelmfarias/bi-gru-with-self-attention-and-statistical-feat", "kernel_id": "3279820"}, {"ref": "isikkuntay/simple-nlp", "kernel_id": "3145960"}, {"ref": "zessay/quaro", "kernel_id": "3046089"}, {"ref": "xelixer/kernel156ea603e9", "kernel_id": "3479512"}, {"ref": "rakeshm6295/qiqc-model-on-glove-embedding", "kernel_id": "3943000"}, {"ref": "emily2008/quora-insincere-questions", "kernel_id": "3180066"}, {"ref": "spadnan96/riverus-spandan-assignment", "kernel_id": "3747005"}, {"ref": "hemanthkumarmareedu/google-word2vec-example", "kernel_id": "3109825"}, {"ref": "iamrahulcse/data-visualisation-for-quora-framework", "kernel_id": "3019907"}, {"ref": "douglasl/exploring-pandas-string-functions", "kernel_id": "3001517"}, {"ref": "asifhashmi/quoraclassification", "kernel_id": "3746938"}, {"ref": "ankuraman1234/word-cloud-in-q", "kernel_id": "3073479"}, {"ref": "beloruk1/comparing-embeddings", "kernel_id": "3463173"}, {"ref": "aashi46/quora-yelp-word2vec", "kernel_id": "3198625"}, {"ref": "gourangamallick3/gouranga-18125760024-assignment-2", "kernel_id": "3244604"}, {"ref": "maxkleiner/textcnn-pytorch-and-keras", "kernel_id": "3966698"}, {"ref": "wangcong95/qicq-rewrite-after-competition", "kernel_id": "3003094"}, {"ref": "statseon/tfidf-epoch-2", "kernel_id": "3213529"}, {"ref": "statseon/gensim-final", "kernel_id": "3240560"}, {"ref": "statseon/gensim", "kernel_id": "3227347"}, {"ref": "statseon/tfidf-script", "kernel_id": "3228613"}, {"ref": "statseon/gensim-script", "kernel_id": "3229531"}, {"ref": "statseon/quora-gru-seon", "kernel_id": "3092371"}, {"ref": "oendric/yelp-sentiment-word2vec", "kernel_id": "3196208"}, {"ref": "sanjeevbiswas/word-2-vec", "kernel_id": "3246231"}, {"ref": "samarthsarin/tfid-attempt", "kernel_id": "3133435"}, {"ref": "samarthsarin/keras-gru-with-glove-embedding", "kernel_id": "3547037"}, {"ref": "samarthsarin/simple-guide-for-lstm-and-glove-embeddings", "kernel_id": "3547521"}, {"ref": "ashish981/quora-textmining", "kernel_id": "3972987"}, {"ref": "anamalf/word-to-vec", "kernel_id": "3197546"}, {"ref": "anamalf/word2vec-uda", "kernel_id": "3196690"}, {"ref": "anaswaraelizabeth/word2vec", "kernel_id": "3217935"}, {"ref": "sairam3795/google-s-word2vec-sentiment-adaboost-sairam", "kernel_id": "3184665"}, {"ref": "yasuo0/word2vec-yelp", "kernel_id": "3195479"}, {"ref": "kfujikawa/4th-place", "kernel_id": "3045628"}, {"ref": "derekhsu2000/preprocessed-word-count", "kernel_id": "3311739"}, {"ref": "jpark9119/kernel1712d5fdd1", "kernel_id": "3466362"}, {"ref": "deepanshgoyal/nlpquora", "kernel_id": "3458514"}, {"ref": "ilazarevsky/quora-experiments", "kernel_id": "3200145"}, {"ref": "vibhoreseth14/mine1234", "kernel_id": "3177153"}, {"ref": "yairh3/ltsm-gru-on-gpu-text-prep-avg-embedding", "kernel_id": "3542773"}, {"ref": "anshulmishra/quora-logistics", "kernel_id": "3302628"}, {"ref": "jialanz/kernel657b8edba7", "kernel_id": "3389835"}, {"ref": "apoorvaramu/text-classification-word2vec", "kernel_id": "3109871"}, {"ref": "lokeshbobbala/word2vec-quora-yelp", "kernel_id": "3196157"}, {"ref": "ravindravenkat/assignment2-uda", "kernel_id": "3178199"}, {"ref": "nagashyam/google-word-to-vec-nagashyam", "kernel_id": "3182819"}, {"ref": "tanaylko/yelp-reviews-sentiment-analysis", "kernel_id": "3194685"}, {"ref": "tanaylko/text-classification-using-word2vec-and-vader", "kernel_id": "3109784"}, {"ref": "manohar2303/google-word2vector-manohar", "kernel_id": "3184686"}, {"ref": "ananyabioinfo/text-classification-using-word2vec", "kernel_id": "3109809"}, {"ref": "embercs15/kaggle-quora-insincere-questions", "kernel_id": "3615715"}, {"ref": "vishakhnairj/quora-word2vec", "kernel_id": "3184546"}, {"ref": "manimeghala/quora-sentiment-yelp", "kernel_id": "3156431"}, {"ref": "ankitj03/kernel12f3ae755d", "kernel_id": "3751649"}, {"ref": "abbahaddou/quora-questions-sincere-or-insencere", "kernel_id": "3155325"}, {"ref": "cavishek/quora-insincere-questions-classification", "kernel_id": "3973007"}, {"ref": "cajorgen57/quora-insincere-questions-cjorg", "kernel_id": "3402525"}, {"ref": "yeknathmerwade31/quora-insincere-sentiment-analysis", "kernel_id": "3004507"}, {"ref": "hrush777/glove-cudnngru", "kernel_id": "3516258"}, {"ref": "hrush777/lstm-with-glove-embedding", "kernel_id": "3506301"}, {"ref": "saurabh69912162/fakenewsclassifierlstm", "kernel_id": "3584759"}, {"ref": "izubkov/quora-naive-bayes-primer", "kernel_id": "3065817"}, {"ref": "abhinavgaharwar/kernelfc7fb0b810", "kernel_id": "3035491"}, {"ref": "vishaldeshwal/kernela249f63124", "kernel_id": "3035533"}, {"ref": "vishaldeshwal/yelp-word2vec", "kernel_id": "3244613"}, {"ref": "bhavyalabishetty/quora-text-classification", "kernel_id": "3297182"}, {"ref": "vsagarvi/quora-competition", "kernel_id": "3004184"}, {"ref": "saipraneeth1996/tm-imdb-using-word2vec", "kernel_id": "3306399"}, {"ref": "darapanenihari/tm-hyd-mar11", "kernel_id": "3297342"}, {"ref": "krithika11/wod2vec-day2", "kernel_id": "3306427"}, {"ref": "krithika11/hotstar-reviews-sentiment-analysis", "kernel_id": "3307997"}, {"ref": "krithika11/quora-questions-classification", "kernel_id": "3305501"}, {"ref": "vlithinchowdary/kernel0497c826d8", "kernel_id": "3245127"}, {"ref": "wafadje/quora", "kernel_id": "3105338"}, {"ref": "bahabuha/submission01-py", "kernel_id": "3321489"}, {"ref": "phanireddy04/phani-quora", "kernel_id": "3297090"}, {"ref": "pranushach/hotstar-allreviews-text-sentiment-analysis", "kernel_id": "3307866"}, {"ref": "pranushach/imdb-word2vec", "kernel_id": "3306390"}, {"ref": "noexittv/embeddings-keras-v02", "kernel_id": "3246629"}, {"ref": "noexittv/minimalistic-pipeline", "kernel_id": "3187282"}, {"ref": "noexittv/embeddings-keras-v04", "kernel_id": "3301792"}, {"ref": "audreyaddison/dataminingfinalproject-addison-musick", "kernel_id": "3676288"}, {"ref": "ashisht08/logistic-regression-with-tfidf-vectorisation", "kernel_id": "3447979"}, {"ref": "gurucharanreddy/quora-gurucharan", "kernel_id": "3972994"}, {"ref": "ranjan2612/quora-insincere-questions-classification", "kernel_id": "3972964"}, {"ref": "swathiperuvaje/kerneld73e1265ac", "kernel_id": "3972999"}, {"ref": "soniyogesh/quora-insincere-mail", "kernel_id": "3972995"}, {"ref": "kefirchick/quora3", "kernel_id": "3543150"}, {"ref": "danofer/lstm-cnn-1d-with-lstm-attention", "kernel_id": "4658425"}, {"ref": "mchahhou/part1-optimizers", "kernel_id": "4347190"}, {"ref": "mchahhou/part2-transfer-learning", "kernel_id": "4347920"}, {"ref": "mchahhou/part3-preprocessing-and-finetuning", "kernel_id": "4355487"}, {"ref": "mchahhou/part4-meta-embeddings", "kernel_id": "4364162"}, {"ref": "mchahhou/part5-lab", "kernel_id": "4364646"}, {"ref": "julius6/keras-toxicity-model", "kernel_id": "4650018"}, {"ref": "tarunad/learning-text-classification-textcnn", "kernel_id": "4144069"}, {"ref": "sandhyagopchandani/quora-insincere-qs-preprocessing-classification", "kernel_id": "4161631"}, {"ref": "neelambuj717/quora-classification-torch-version", "kernel_id": "4990919"}, {"ref": "munavar/latent-semantic-analysis-topic-modelling", "kernel_id": "4296818"}, {"ref": "syednusrath/lstm-glove-and-keras", "kernel_id": "4410617"}, {"ref": "wanyizhu2017/quora-insincere", "kernel_id": "4778154"}, {"ref": "wanyizhu2017/quora-insincere-question-with-lightgbm", "kernel_id": "4963342"}, {"ref": "infoabhitech/jigsaw-toxic-classification-keras-nn", "kernel_id": "4266521"}, {"ref": "plasticgrammer/quora-insincere-questions-playground", "kernel_id": "4636104"}, {"ref": "mizotm/keras-tokenizer", "kernel_id": "4342598"}, {"ref": "ibrahimmukherjee/top-5-deep-learning-frameworks-tutorial", "kernel_id": "4924034"}, {"ref": "ibrahimmukherjee/nlp-preprocessing", "kernel_id": "4902824"}, {"ref": "turing228/different-embeddings-10-epochs-final", "kernel_id": "4060020"}, {"ref": "turing228/embedding-with-the-preprocessing", "kernel_id": "4090455"}, {"ref": "patelprashant/text-classification-using-uber-ludwig", "kernel_id": "4444530"}, {"ref": "divyanshrai/quora", "kernel_id": "4025527"}, {"ref": "statastrologer/detoxify-comments", "kernel_id": "4946438"}, {"ref": "akhileshrai003/jigsaw-toxic-comment-classification", "kernel_id": "4526843"}, {"ref": "rajathsingh/a-beginners-guide", "kernel_id": "4885675"}, {"ref": "neoyipeng2018/bert-fastai-v3", "kernel_id": "4917955"}, {"ref": "neoyipeng2018/bert-fastai-inc-error-analysis", "kernel_id": "4887945"}, {"ref": "neoyipeng2018/awd-lstm-cls-1", "kernel_id": "4801153"}, {"ref": "aeiyuni/quora-insincere-eda", "kernel_id": "4928691"}, {"ref": "aeiyuni/quora-insincere", "kernel_id": "4871889"}, {"ref": "hzk123/total-preprocess", "kernel_id": "4176382"}, {"ref": "surajdon46/kernelb3c9fde8f8", "kernel_id": "4880624"}, {"ref": "saqib96mobin/bilstm-clr-embedding-glove-paragram-in-keras", "kernel_id": "4669045"}, {"ref": "anupriyo/lstm-analysis-for-quora-insincere", "kernel_id": "4315067"}, {"ref": "virajbagal/eda-tsne-traditional-vs-neural-models-nlp", "kernel_id": "4469869"}, {"ref": "johnies/quora-insincere", "kernel_id": "4940430"}, {"ref": "atul0204/quora-insincere-using-nn", "kernel_id": "4764988"}, {"ref": "quasikris/question-classification-quora", "kernel_id": "4229926"}, {"ref": "quasikris/tf-idf", "kernel_id": "4462124"}, {"ref": "quasikris/fork-of-question-classification-quora-870bf0", "kernel_id": "4835572"}, {"ref": "alemvangrieken/proyecto-3-emergente-rnn-marcano-suarez-graterol", "kernel_id": "4662135"}, {"ref": "taziz437/tariqaziz", "kernel_id": "4552004"}, {"ref": "arturojose19/proyecto-3-quora", "kernel_id": "4682813"}, {"ref": "zoomelectrico/competicion-quora-emergente-p3", "kernel_id": "4707782"}, {"ref": "danielisanchez/computacionemergente-proyecto3", "kernel_id": "4627839"}, {"ref": "earama/proyecto-3-quora-arama-d-lacoste-de-castro", "kernel_id": "4703492"}, {"ref": "diabliyo12/proyecto-3", "kernel_id": "4757550"}, {"ref": "careforyourcandy/proyecto-3", "kernel_id": "4620403"}, {"ref": "abrahamchang/proyecto-3-emergente-chang-pinedo-velasquez", "kernel_id": "4735281"}, {"ref": "richardeascanio/lstm-p3", "kernel_id": "4666536"}, {"ref": "athiats/ptresvvc", "kernel_id": "4765455"}, {"ref": "wpan2019/questions-classification-in-pytorch", "kernel_id": "4078165"}, {"ref": "vmmq94/ptresvvc", "kernel_id": "4750068"}, {"ref": "cbiancaniello/compressing-a-binary-submission-within-a-s-86d75d", "kernel_id": "4147544"}, {"ref": "a2020s/quora-classification-test-script", "kernel_id": "4657113"}, {"ref": "abhishekbhole/kernel466d5f85ef", "kernel_id": "4475516"}, {"ref": "wangyanshy/kernelda32bfa7a1", "kernel_id": "4614447"}, {"ref": "mlwhiz/interpreting-text-classification-models-with-eli5", "kernel_id": "5904936"}, {"ref": "aayush26/fast-ai-ulmfit", "kernel_id": "5007420"}, {"ref": "adarshshift/quora-bilstm", "kernel_id": "5143549"}, {"ref": "habibmrad1983/natural-language-processing-theory-and-practice", "kernel_id": "5618511"}, {"ref": "therabiulawal/insincere-approach-2", "kernel_id": "5858349"}, {"ref": "therabiulawal/insincere-approach-1", "kernel_id": "5934730"}, {"ref": "therabiulawal/insincere-approach-3-1", "kernel_id": "5875301"}, {"ref": "hespozel/plataforma-pytorch-analise-de-sentimentos", "kernel_id": "5705988"}, {"ref": "garbamoussa/quora-competition", "kernel_id": "5556633"}, {"ref": "mmheydari97/gru-with-prep", "kernel_id": "5965377"}, {"ref": "vishalsoni242/toxic-comment-classification", "kernel_id": "5291040"}, {"ref": "abhisheksurana/kernel4d305f1b3d", "kernel_id": "5313358"}, {"ref": "aeiyuni/quora-eda-v3", "kernel_id": "5037590"}, {"ref": "ronaksvijay/qiqc-nn", "kernel_id": "5035193"}, {"ref": "shivayadav423/imdb-review-word2vector", "kernel_id": "5454017"}, {"ref": "tarun280896/quora-unstructure", "kernel_id": "5763067"}, {"ref": "vinaydoshi/text-preprocessing-load-embeddings-and-cnn-lstm", "kernel_id": "5466021"}, {"ref": "vinaydoshi/baseline-model", "kernel_id": "5427442"}, {"ref": "obrunet/quora-insincere-questions-classification", "kernel_id": "5789486"}, {"ref": "analystanand/text-classification-with-bert", "kernel_id": "6785136"}, {"ref": "mathiazhagan/toxic-classification-kernal", "kernel_id": "6521865"}, {"ref": "mathiazhagan/cycliclr-and-k-fold", "kernel_id": "6853582"}, {"ref": "mlanier/kernel77de89c276", "kernel_id": "6882580"}, {"ref": "dipta007/only-glove", "kernel_id": "6458859"}, {"ref": "dipta007/glove-para", "kernel_id": "6480653"}, {"ref": "jagannathrk/quora-insincere-questions-embeddings", "kernel_id": "6837951"}, {"ref": "peteradam/ass02", "kernel_id": "6308812"}, {"ref": "milanp/quora-insincere-questions-late-submission-script", "kernel_id": "6686717"}, {"ref": "saranyashalya/e2e-text-classification", "kernel_id": "6459236"}, {"ref": "tysonpatrick/final-model", "kernel_id": "6154612"}, {"ref": "aminns/kernel11111", "kernel_id": "6607786"}, {"ref": "abeerabuzayed/quora-insincere-questions-classification-visualiza", "kernel_id": "6421344"}, {"ref": "abhishekshambhu/or-610-quora-classification-using-embeddings", "kernel_id": "6857526"}, {"ref": "aaneloy/quora-sincere-final", "kernel_id": "6778558"}, {"ref": "saeedtqp/quora", "kernel_id": "6855337"}, {"ref": "saeedtqp/bilstm-attention-kfold-clr-extra-features-capsule", "kernel_id": "6951605"}, {"ref": "jsvishnuj/nlp-using-deep-learning-for-beginners", "kernel_id": "6057922"}, {"ref": "raqeeb/quora-wordembedding", "kernel_id": "6310573"}, {"ref": "tushartyagi80kaggle/twitter-sentiment-neural-network", "kernel_id": "6200812"}, {"ref": "arinaruck/kernel7d1c9fd560", "kernel_id": "6670487"}, {"ref": "arinaruck/kernel59ba24002e", "kernel_id": "6748521"}, {"ref": "arinaruck/gru-madness", "kernel_id": "6956451"}, {"ref": "arinaruck/fork-of-kernel7d1c9fd560-135ca4", "kernel_id": "6781032"}, {"ref": "pednoi/quora-bert-training", "kernel_id": "6618780"}, {"ref": "pednoi/quora-bert-submission", "kernel_id": "6598505"}, {"ref": "gaokun227/a-fast-solution-with-lstm-in-25min-using-gpu", "kernel_id": "6697614"}, {"ref": "vinaydoshi/google-q-a-rcnn", "kernel_id": "6836133"}, {"ref": "abyaadrafid/qiqc-final-submission", "kernel_id": "6531716"}, {"ref": "ixcheldelsol/proyecto-3-emergente", "kernel_id": "6811553"}, {"ref": "ranavrinda91/kernel51cb9f6943", "kernel_id": "6497125"}, {"ref": "stephenkyima/notebook-assignment-quroa-toxic-classify", "kernel_id": "6371317"}, {"ref": "apoorvaappz/quora-commen-text-mining-classification-case-study", "kernel_id": "6527345"}, {"ref": "juhi1994/quora-dataset-text-mining-method", "kernel_id": "6527354"}, {"ref": "amulyamanne/text-mining-quora-insincere-questions-classfn", "kernel_id": "6527337"}, {"ref": "tarunkoutharapu/quora-questions-sentiment-analysis", "kernel_id": "6527311"}, {"ref": "aksha17/quora-questions", "kernel_id": "6527297"}, {"ref": "yashnaik12/quora-questions", "kernel_id": "6550546"}, {"ref": "mariocatapano/proyecto-3-quora-rnn", "kernel_id": "6684483"}, {"ref": "fguzman32/proyecto3", "kernel_id": "6779902"}, {"ref": "ivanpbf/proyecto-3-montenegro-loscher", "kernel_id": "6783539"}, {"ref": "baharsp/pytorch-starter", "kernel_id": "6488457"}, {"ref": "gershond5/proyecto-3-emergente-bugallo-douek", "kernel_id": "6793617"}, {"ref": "luism1228/proyecto-3-ce-torres-eskenazi-nu-ez", "kernel_id": "6684164"}, {"ref": "ksotillo/proyecto-3-quora-insincere-questions", "kernel_id": "6809848"}, {"ref": "sebastianalcala/hep-py", "kernel_id": "6820920"}, {"ref": "majeedaskari/w2v-lstm", "kernel_id": "6489528"}, {"ref": "gurramkondasaicharan/quora", "kernel_id": "6527344"}, {"ref": "mafesantacoloma/proyecto-3", "kernel_id": "6793726"}, {"ref": "aminnasim/amin-nasim-saravi", "kernel_id": "6628175"}, {"ref": "manuelojeda432/p3-manuel-ojeda", "kernel_id": "6800400"}, {"ref": "nagarjunaraochakka/myprojectnameentityrecognition", "kernel_id": "6916874"}, {"ref": "danielalexandermesa/proyecto-rnn", "kernel_id": "6786067"}, {"ref": "koheimuramatsu/toxic-text-detection-using-bert-finetuning", "kernel_id": "7454184"}, {"ref": "miracle0/quora-insincere-question-classification", "kernel_id": "7518582"}, {"ref": "hassanamin/text-classification-lstm-cnn-glove-embeddings", "kernel_id": "7001612"}, {"ref": "akshayvaru103/amazon-fine-food-review-sentiment-analysis", "kernel_id": "7375128"}, {"ref": "arinaruck/gru-smaller-augmented-v2", "kernel_id": "7714168"}, {"ref": "arifali77/quora-nlp-using-deep-learning-for-beginners", "kernel_id": "7322780"}, {"ref": "arifali77/top-5-deep-learning-frameworks-tutorial", "kernel_id": "7453290"}, {"ref": "arifali77/a-data-science-framework-for-quora", "kernel_id": "7414622"}, {"ref": "slowlearnermack/quara-spam-prediction", "kernel_id": "7676258"}, {"ref": "alexejdrosdov/lb6nlp", "kernel_id": "7092599"}, {"ref": "alexejdrosdov/lb6nlp-2", "kernel_id": "7149377"}, {"ref": "vladislavmukhin/lb-nlp-submission2v2", "kernel_id": "7231129"}, {"ref": "vladislavmukhin/lb-nlp-submission", "kernel_id": "7161705"}, {"ref": "a6015a/kernel17f49e3279", "kernel_id": "7243712"}, {"ref": "yankarto/bidirectional-lstm-cnn-withembeddings", "kernel_id": "7413930"}, {"ref": "thisisyana/kernel6224785f16", "kernel_id": "7154594"}, {"ref": "jagjitshinde/kernel448ff7655d", "kernel_id": "7175503"}, {"ref": "mohammadfakhrani/kernel28fccaf313", "kernel_id": "7716285"}, {"ref": "mlwhiz/multiclass-text-classification-pytorch", "kernel_id": "8323771"}, {"ref": "jagannathrk/fasttext-word-vector-embedding", "kernel_id": "8945715"}, {"ref": "davidmsc/exploration", "kernel_id": "8001024"}, {"ref": "cslade/quora-insincere-questions", "kernel_id": "8817760"}, {"ref": "parthbatra/quora-insincere-questions", "kernel_id": "8182468"}, {"ref": "saikumarkorada/kernel46a9225952", "kernel_id": "8855915"}, {"ref": "panditdandgule/a-detailed-explanation-of-keras-embedding", "kernel_id": "8294164"}, {"ref": "wenkanw/8650datamining-new", "kernel_id": "8240672"}, {"ref": "yaoyuge1996/dove-week1", "kernel_id": "8035495"}, {"ref": "akhilvydyula/lstm-model", "kernel_id": "8308215"}, {"ref": "akhilvydyula/brief-introduction-of-l-s-t-m-and-neural-networks", "kernel_id": "8426458"}, {"ref": "rajaraman6195/lstm-embeddings", "kernel_id": "8222390"}, {"ref": "omkarcpatil/question-asked-on-quora-is-sincere-or-not", "kernel_id": "8366465"}, {"ref": "shivrajthutte/quora-insincere-questions-classification", "kernel_id": "8762576"}, {"ref": "nanthakumars/naive-bayes-for-quora", "kernel_id": "8843956"}, {"ref": "mooventhchiyan/multinominalnb-quora", "kernel_id": "8783644"}, {"ref": "samuelnatanael/fork-of-kernel3eaa69f65c-e1b50b", "kernel_id": "8182763"}, {"ref": "darwinwin/automl-starter-from-others-prep", "kernel_id": "8130805"}, {"ref": "canirudh/qisc-final", "kernel_id": "8920790"}, {"ref": "tarunpaparaju/quora-challenge-roberta-insincerity-predictor", "kernel_id": "9471552"}, {"ref": "siriusz/kernel457249d274", "kernel_id": "9323565"}, {"ref": "halftru/kernel5cd708ea59", "kernel_id": "9517992"}, {"ref": "halftru/kernel49eb0bd25f", "kernel_id": "9540844"}, {"ref": "xiu0714/logisticregression-base-model", "kernel_id": "9370121"}, {"ref": "xiu0714/ensemble-nb-lr-svm", "kernel_id": "9352386"}, {"ref": "xiu0714/quora-insincere-questions-smote", "kernel_id": "9674444"}, {"ref": "fredthered2/bi-dir-lstm-with-convolution-layer", "kernel_id": "9797062"}, {"ref": "yamini1896/kernel30137dfb28", "kernel_id": "9473860"}, {"ref": "adegladius/zindi-bnbr-text-preprocessing", "kernel_id": "9978476"}, {"ref": "ashutoshvarma/nlp-using-logistic-regression-93-accuracy", "kernel_id": "9466188"}, {"ref": "chandra03/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "9467551"}, {"ref": "aiwale/quora-nlp", "kernel_id": "9773522"}, {"ref": "vikashpratapsingh/kernela10716a3a7", "kernel_id": "9773172"}, {"ref": "prashanthbodduna/train-with-tensorflow", "kernel_id": "9549396"}, {"ref": "krishnayadav4321/kernel4e31a76417", "kernel_id": "9268627"}, {"ref": "benjamingeyer/kernel5cd708ea59", "kernel_id": "9518191"}, {"ref": "skathirmani/bfl-ta-july-session-2-part1", "kernel_id": "10721873"}, {"ref": "skathirmani/bfl-ta-july-session1-part2", "kernel_id": "10704056"}, {"ref": "skathirmani/bfl-dl-june-part-2-4", "kernel_id": "10235733"}, {"ref": "vermadev54/kernel4214c6837b", "kernel_id": "10456546"}, {"ref": "sumitm004/simple-bert-model-for-text-classification", "kernel_id": "10974826"}, {"ref": "palash97/quora-insincere-questions", "kernel_id": "10881903"}, {"ref": "raj26000/question-classification-randomizedsearchcv-used", "kernel_id": "10503430"}, {"ref": "mengjialyu/quora-classify-tf", "kernel_id": "10328065"}, {"ref": "vchauhanusf/95-8-test-accuracy-quora-insincere-questions", "kernel_id": "10840328"}, {"ref": "tasnimnishatislam/insincere-question-classification", "kernel_id": "10145218"}, {"ref": "junwenzheng1/quora-classification", "kernel_id": "10809527"}, {"ref": "maksimbahdanchyk/nlp-trial", "kernel_id": "10394602"}, {"ref": "nikhilp6/nik-quora", "kernel_id": "10186204"}, {"ref": "rohitr4307/quora", "kernel_id": "11281928"}, {"ref": "yogmoh/quora-insincere-nn", "kernel_id": "11503632"}, {"ref": "ajax0564/quora-questions-pairs", "kernel_id": "11536408"}, {"ref": "aqifilyaskhan/quora-toxic-cls-using-logistic-regression", "kernel_id": "11028782"}, {"ref": "maverickmonk94/qqic-ml-notebook", "kernel_id": "11873684"}, {"ref": "aryanparab/quora-insensitive", "kernel_id": "11078106"}, {"ref": "harshbansal3201/notebookbd5a631f82", "kernel_id": "11819529"}, {"ref": "shubham781/quora-tweets", "kernel_id": "12578270"}, {"ref": "abhilash1910/nlp-workshop-ml-india", "kernel_id": "12074923"}, {"ref": "abhilash1910/nlp-workshop-2-ml-india", "kernel_id": "12206731"}, {"ref": "nicholasjhana/tensorflow-binary-classification-on-text", "kernel_id": "12759038"}, {"ref": "maverickmonk94/qqic-dl-notebook", "kernel_id": "12191586"}, {"ref": "yosarawut/workshop-text-classification-quora", "kernel_id": "12315223"}, {"ref": "dkhos17/nlp-hw3", "kernel_id": "12940064"}, {"ref": "demetreuridia/notebookbf48eaf2f1", "kernel_id": "12952286"}, {"ref": "shivkumarganesh/quora-insincere-questions", "kernel_id": "12734276"}, {"ref": "shishirkumar/fasttext-classification", "kernel_id": "13188140"}, {"ref": "transtrades/quora-insincere-questions-notebook50bcc6d71e", "kernel_id": "13440213"}, {"ref": "transtrades/quora-insincere-questions-co-learning-prasadk", "kernel_id": "13430250"}, {"ref": "transtrades/quora-notebook208c3c0695", "kernel_id": "13894892"}, {"ref": "desaivaibhav1995/qiqc-intuition-eda-glove-beginner-s-code", "kernel_id": "13216176"}, {"ref": "trehansalil1/quora-insincere-classification-cll", "kernel_id": "13404066"}, {"ref": "bignottirom/insincereclassification", "kernel_id": "13020875"}, {"ref": "bignottirom/advanced-insincereclassification", "kernel_id": "13099633"}, {"ref": "rizdelhi/end-to-end-natural-language-processing-1", "kernel_id": "13449003"}, {"ref": "dpipi17/demetre-pipia", "kernel_id": "13177643"}, {"ref": "sunnydahiya/notebookbd1a9731f6", "kernel_id": "13522515"}, {"ref": "dianetuyizere/text-classification-lstm-cnn-glove-embeddings", "kernel_id": "13272047"}, {"ref": "gona26/quora-v1", "kernel_id": "13361912"}, {"ref": "gona26/quora-v2", "kernel_id": "13929265"}, {"ref": "caiqingyang/quroa-nlp", "kernel_id": "13621681"}, {"ref": "kasmithh/quora-insincere-question-data-view", "kernel_id": "14060879"}, {"ref": "rizdelhi/bilstm-model-for-sentence-classification", "kernel_id": "14567238"}, {"ref": "patriciacanton/using-word-embeddings-for-data-augmentation", "kernel_id": "14671832"}, {"ref": "omarelghorchi/groupe-7-quora", "kernel_id": "14284109"}, {"ref": "omarelghorchi/notebooke49d69b00c", "kernel_id": "14569084"}, {"ref": "nassimeel/notebooke49d69b00c", "kernel_id": "14580573"}, {"ref": "nassimeel/notebookac11dd56ce", "kernel_id": "14720052"}, {"ref": "tarikikoubaane/groupe-15", "kernel_id": "14578153"}, {"ref": "soufianeodf/notebook68c2d3a908", "kernel_id": "14680510"}, {"ref": "oumaimaizem/group8-notebook", "kernel_id": "14710725"}, {"ref": "abderahman/groupe-n-4", "kernel_id": "14774305"}, {"ref": "solaymannaji/quora-project", "kernel_id": "14739894"}, {"ref": "mohamadsuilah/quora-insincere-questions-classification", "kernel_id": "14287980"}, {"ref": "assiaserhrouchni/groupe-3", "kernel_id": "14550403"}, {"ref": "saadsebai/group-n-13-quora", "kernel_id": "14343875"}, {"ref": "saikumarkella/quora-insincere-questions-classification-lstm", "kernel_id": "14743010"}, {"ref": "saikumarkella/qiq-pretrained-embeddings-mlp-cnn", "kernel_id": "14400477"}, {"ref": "mohamedelkhayat/notebook1fe7a37f27", "kernel_id": "14757903"}, {"ref": "omarelghorchi2020/group-7", "kernel_id": "14589277"}, {"ref": "mohamedtfagha/notebook18049577m2", "kernel_id": "14802569"}, {"ref": "nassimeelrharbi/notebookcb3f84b3ba", "kernel_id": "14771353"}, {"ref": "ouyangwenguang/quora-insincere-questions-classification", "kernel_id": "15400264"}, {"ref": "saket7788/baseline-model-logistic-regression", "kernel_id": "15755101"}, {"ref": "zstcode/notebook6ae81bff29", "kernel_id": "15190263"}, {"ref": "ali313/quora-insincere-questions-classification-lstm", "kernel_id": "15347875"}, {"ref": "yanpapadakis/nlp-sentimentanalysis-using-keras", "kernel_id": "16356703"}, {"ref": "yanpapadakis/nlp-sentimentanalysis-using-bert", "kernel_id": "16379059"}, {"ref": "yanpapadakis/evaluation-of-nlp-models-eli5-shap", "kernel_id": "16401700"}, {"ref": "skathirmani/data-science-course-session-27-1-30-04-2021", "kernel_id": "16627154"}, {"ref": "finlay/qiqc-text-modelling-in-pytorch", "kernel_id": "16369955"}, {"ref": "aayushkubba/word2vec-and-gensim-go-go-go", "kernel_id": "16448002"}, {"ref": "aayushkubba/quora-with-different-embeddings", "kernel_id": "16448017"}, {"ref": "aayushkubba/using-glove-embedding", "kernel_id": "16448081"}, {"ref": "aayushkubba/simple-exploration-notebook-qiqc", "kernel_id": "16448049"}, {"ref": "ouyangwenguang/text-classification-using-transformers", "kernel_id": "16194020"}, {"ref": "hongpeiyi/training-a-model-using-pretrained-bert", "kernel_id": "16511316"}, {"ref": "cedricsvrn/baseline-model-with-logistic-regression", "kernel_id": "16358446"}, {"ref": "sidsaif/beginner-to-intermediate-nlp-tutorial", "kernel_id": "16647694"}, {"ref": "girijeshcse/a-detailed-explanation-of-keras-embedding-layer", "kernel_id": "16845475"}, {"ref": "kienle99/quora-group23-uet", "kernel_id": "16304552"}, {"ref": "nguyenmanhdung/quora-insincere-questions-classification", "kernel_id": "16776017"}, {"ref": "lukeshrek/classify-toxic-question", "kernel_id": "16340934"}, {"ref": "mrrob3t/quora1", "kernel_id": "16605564"}, {"ref": "mrrob3t/quora", "kernel_id": "16758402"}, {"ref": "mrrob3t/toxic-question", "kernel_id": "16928802"}, {"ref": "xerenite/questions-classification-logistic-regression", "kernel_id": "16776756"}, {"ref": "nguyenquockhanh/quora-insincere-and-sincere", "kernel_id": "16120839"}, {"ref": "bimdeptrai/ml-project", "kernel_id": "16613027"}, {"ref": "bimdeptrai/chuyen-de-cong-nghe-uet", "kernel_id": "16586658"}, {"ref": "jena0001/lethiphuong-18021027", "kernel_id": "16779541"}, {"ref": "hilongnguyn/threshold-moving", "kernel_id": "16297605"}, {"ref": "trgiang/notebook12aeaa3926", "kernel_id": "16318607"}, {"ref": "zznuazz/ml-final", "kernel_id": "16926444"}, {"ref": "helden/quora-insincere-ques-submit", "kernel_id": "16387219"}, {"ref": "stutisinghall/notebook2f46f3a38e", "kernel_id": "16859490"}, {"ref": "anhdmh/first-project", "kernel_id": "16557987"}, {"ref": "phnganhm/quora-insincere-questions-classification", "kernel_id": "16599810"}, {"ref": "nmt1612/quora-classify-toxic-questions", "kernel_id": "16971098"}, {"ref": "chunglh/machine-learning-v1", "kernel_id": "16372939"}, {"ref": "lequangnhat/toxic-question-logistic-regression", "kernel_id": "16582889"}, {"ref": "manhcuongcvp/19020511-ml", "kernel_id": "16600091"}, {"ref": "vanmanhpbc1998/nguyen-van-manh", "kernel_id": "16951009"}, {"ref": "vngngphm/final-ml-toxic-questions-ph-m-v-ng-ng", "kernel_id": "16606288"}, {"ref": "hieutran211/mid-term", "kernel_id": "16607342"}, {"ref": "kientrong/quora-insincere-questions-classification", "kernel_id": "16725245"}, {"ref": "thlongphm/question-classification", "kernel_id": "16928292"}, {"ref": "thlongphm/toxic-comment", "kernel_id": "16769894"}, {"ref": "thlongphm/classify-toxic-question", "kernel_id": "16772058"}, {"ref": "hieuphamjr/quora-insincere-question-classification", "kernel_id": "16763514"}, {"ref": "phungthikhanhlinh/notebook361e0bc9a2", "kernel_id": "16773148"}, {"ref": "annguynn/quora-insincere-question", "kernel_id": "16935558"}, {"ref": "mattkierans/kaggle-meetup-nlp-transformers", "kernel_id": "17172861"}, {"ref": "shravankumar147/text-classification-with-glove-embeddings", "kernel_id": "17251672"}, {"ref": "sandeepbhutani304/attention-mechanism-effect-on-model-training", "kernel_id": "17670468"}, {"ref": "huikang/quora-question-pair-dataset-visualisation", "kernel_id": "17570628"}, {"ref": "huikang/quora-question-pairs-for-information-retrieval", "kernel_id": "17405701"}, {"ref": "peterb123/disaster-tweets-nlp", "kernel_id": "17592792"}, {"ref": "au1206/fine-tuning-bert-text-classification", "kernel_id": "17508365"}, {"ref": "kwtzaugust/boolean-ir-model-r-precision", "kernel_id": "17748759"}, {"ref": "akashs2021/simple-exploration-notebook-qiqc", "kernel_id": "17451871"}, {"ref": "jaeminbest/notebook131ddf14d3", "kernel_id": "17625779"}, {"ref": "uday701/final-project", "kernel_id": "17323049"}, {"ref": "lukeshrek/notebookd4c58549ba", "kernel_id": "17590517"}, {"ref": "lukeshrek/classify-toxic-questions-v1-0-data-exploration", "kernel_id": "17492837"}, {"ref": "phamhaithang/18021139-final-submission-gru-kerax", "kernel_id": "17100062"}, {"ref": "chen7529/training-a-model-using-pretrained-bert", "kernel_id": "17575202"}, {"ref": "nguyenquockhanh/quora-questions", "kernel_id": "17614832"}, {"ref": "tuaaanminh/quora-insincere-classification", "kernel_id": "17180591"}, {"ref": "tuaaanminh/quora-insincere-classification-without-embeddings", "kernel_id": "17505598"}, {"ref": "nghuuloc/ml-18020779-nhl", "kernel_id": "17469823"}, {"ref": "priyabhowmick/quora-classification", "kernel_id": "17268734"}, {"ref": "trgiang/final", "kernel_id": "17052378"}, {"ref": "phanquanghung/quora-toxic-questions-classification", "kernel_id": "17636355"}, {"ref": "stutisinghall/quora-insincere-question-classification", "kernel_id": "17213629"}, {"ref": "phmtrungkin/final-notebook", "kernel_id": "17518927"}, {"ref": "lptachilles/projecta", "kernel_id": "17087051"}, {"ref": "phmvithong/machine-learning-nh-m-19", "kernel_id": "17165777"}, {"ref": "phuongbuiuet/ml-insincere-questions", "kernel_id": "17632462"}, {"ref": "quyennguyen1512/mlfinalproject", "kernel_id": "17644797"}, {"ref": "tndngvn/notebook-btl-ml", "kernel_id": "17578892"}, {"ref": "thlongphm/notebookb2800739f1", "kernel_id": "17225310"}, {"ref": "longhainguyen/nh-m-1-ml-best-score", "kernel_id": "17143087"}, {"ref": "longhainguyen/group-1-downsampling", "kernel_id": "17137947"}, {"ref": "longhainguyen/group-1-oversampling-full", "kernel_id": "17137953"}, {"ref": "vankhang/van-khang", "kernel_id": "17251418"}, {"ref": "tunguyenhrtech/quora-ml-eda-preprocessing", "kernel_id": "17284034"}, {"ref": "tunguyenhrtech/quora-ml-text-presentation-modeling", "kernel_id": "17583920"}, {"ref": "ngxuloc/quora-ml-submission", "kernel_id": "17643078"}, {"ref": "hnlong/last-ml-project", "kernel_id": "17333657"}, {"ref": "dimitriosspanakis/text-classification-using-word2vec", "kernel_id": "17266946"}, {"ref": "shyannwong/rnn-model", "kernel_id": "17778677"}, {"ref": "thdtt96/super-draft", "kernel_id": "17395934"}, {"ref": "huikang/ir-project-download-keyed-vectors", "kernel_id": "18589287"}, {"ref": "huikang/ir-project-supervised-model-data-preparation", "kernel_id": "18844119"}, {"ref": "neighmish/fork-of-quora-insincere-notebook", "kernel_id": "18798332"}, {"ref": "rahulrky/pre-processing-techniques-for-textual-data", "kernel_id": "18938608"}, {"ref": "mattjohn/commonlit", "kernel_id": "18808794"}, {"ref": "juliangarratt/comp9417-quora-insincere-classification", "kernel_id": "18392158"}, {"ref": "kaimashimo/notebookb8169ac226", "kernel_id": "18420130"}, {"ref": "stanleychennn/fork-of-xgboost-baseline", "kernel_id": "18533518"}, {"ref": "krishnac7/parallelization-kernel", "kernel_id": "19396190"}, {"ref": "nayefahmad/kaggle-meetup-nlp-transformers", "kernel_id": "19200109"}, {"ref": "nitishputrevu/fine-tune-bert-for-text-classification", "kernel_id": "19737069"}, {"ref": "nileshsuthar/quora-pretrained-bert", "kernel_id": "20988736"}, {"ref": "kamdem/text-classification-using-word2vec", "kernel_id": "20556560"}, {"ref": "niketanmoon/qiqc-lr-tfidf-with-cleaned-data", "kernel_id": "20396075"}, {"ref": "niketanmoon/models-qiqc", "kernel_id": "20425830"}, {"ref": "susant4learning/best-among-pretrained-embeddings", "kernel_id": "20478933"}, {"ref": "manasa0634/quora-insincere-question-classification", "kernel_id": "20348690"}, {"ref": "aleemsiddiqui029/cse362-project", "kernel_id": "20838326"}, {"ref": "jena0001/insincere-questions-classification", "kernel_id": "20106984"}, {"ref": "vsevolodkachan/notebook95f32d8a3d", "kernel_id": "20674480"}, {"ref": "nileshsuthar/a-look-at-different-embeddings", "kernel_id": "21231351"}, {"ref": "lucasvalentim/quora-insincere-questions-classification", "kernel_id": "21266044"}, {"ref": "geochatz/insincere-questions-binary-classification", "kernel_id": "21681698"}, {"ref": "uygarkk/starter-tensorflow-keras", "kernel_id": "21283248"}, {"ref": "singh2010nidhi/lstm-is-all-you-need-well-maybe-embeddings-also", "kernel_id": "21585861"}, {"ref": "victorvidals/quora-insincere-questions-classification-keras", "kernel_id": "21142224"}, {"ref": "ingopastl/nlp-i-guess-i-gotta-do-this-quora-edition", "kernel_id": "21266418"}, {"ref": "mateuslins/incinsere-questions-with-dnn-no-pretreined-embedds", "kernel_id": "21263863"}, {"ref": "diasdouglas/quora-insincere-questions", "kernel_id": "21266772"}, {"ref": "claudiofilho/qiqc-naive-bayes", "kernel_id": "21211527"}, {"ref": "skywolkher/quora-insincere-questions", "kernel_id": "21213244"}, {"ref": "brunosantacruz/quora-insincere-questions", "kernel_id": "21264986"}, {"ref": "radsebastian/insincere-questions-classification", "kernel_id": "22841621"}, {"ref": "johntelfeyan/nltk-quora-insincere-recreate-training", "kernel_id": "22952458"}, {"ref": "arinalogvinenko/notebook1d96c59580", "kernel_id": "22885684"}, {"ref": "moisscarlos/moises-questions-classification", "kernel_id": "22950369"}, {"ref": "anhtuannguyen1802/18021366-nguy-n-anh-tu-n", "kernel_id": "22858581"}, {"ref": "dzhakhongir/notebookefd75101aa", "kernel_id": "22818990"}, {"ref": "vuducvan20/toxic-question-211222", "kernel_id": "22992786"}, {"ref": "saidsp19/starter-fastai-transformers-lemm", "kernel_id": "23947457"}, {"ref": "hiunguynduy/nguyen-duy-hieu", "kernel_id": "23609469"}, {"ref": "traang/notebook0fb512efe6", "kernel_id": "23759771"}, {"ref": "kimlongl/lekimlong-18020852", "kernel_id": "23691307"}, {"ref": "xavy13/quora-insincere-questions-classification", "kernel_id": "23536257"}, {"ref": "huy1711/quora-text-classification-huy-ng-19021299", "kernel_id": "23015284"}, {"ref": "haianhphan/machine-learning", "kernel_id": "23641770"}, {"ref": "haianhphan/draft-b-o-c-o-b-i-t-p-l-n-m-n-h-c-m-y", "kernel_id": "23665206"}, {"ref": "haianhphan/b-o-c-o-b-i-t-p-l-n-m-n-h-c-m-y", "kernel_id": "23715797"}, {"ref": "crissan26/machine-learning-19021258", "kernel_id": "23601071"}, {"ref": "kiutuyn/quora-insincere-questions-classification", "kernel_id": "23367621"}, {"ref": "nguynmnhhng/b-o-c-o-b-i-t-p-l-n-cu-i-k", "kernel_id": "23552799"}, {"ref": "minhcao2509/machine-learning-21-22", "kernel_id": "23720850"}, {"ref": "minhcao2509/19020063", "kernel_id": "23470941"}, {"ref": "sumegarishion/quora-insincere-questions-classification", "kernel_id": "23639907"}, {"ref": "vitanhongc/machine-learning", "kernel_id": "23660109"}, {"ref": "hoanava/bert1", "kernel_id": "23577868"}, {"ref": "vngluvn/classification", "kernel_id": "23674129"}, {"ref": "phlt19/quora-question-classification-18020993", "kernel_id": "23609980"}, {"ref": "kakashigaya/toxic-question-isn-t-it", "kernel_id": "23450825"}, {"ref": "datntrong/bilstmmodel", "kernel_id": "23144549"}, {"ref": "datntrong/bilstm", "kernel_id": "23686410"}, {"ref": "datntrong/roberta-pytorchlighting", "kernel_id": "23709142"}, {"ref": "banhbao0/notebookea221d53ae", "kernel_id": "23720149"}, {"ref": "phmvnh/quora-question", "kernel_id": "23230425"}, {"ref": "hoangdangminh/notebook36a11316aa", "kernel_id": "23627823"}, {"ref": "rutabaga/notebook11e9870cf8", "kernel_id": "23262509"}, {"ref": "huynv175/huynv", "kernel_id": "23675024"}, {"ref": "sulborg/19021351", "kernel_id": "23642609"}, {"ref": "duyenle0516/ml-report", "kernel_id": "23567837"}, {"ref": "phuminhnhat/ml-final-project", "kernel_id": "23692680"}, {"ref": "nghviet/mlfinal", "kernel_id": "23607107"}, {"ref": "tnlngha/quora-toxic-questions-classification-18020949", "kernel_id": "23677481"}, {"ref": "nhttt21/18021185-nguy-n-h-u-th-nh", "kernel_id": "23675420"}, {"ref": "dinhvietahn19021217/toxic-quora-question", "kernel_id": "23564975"}, {"ref": "dinhvietahn19021217/more-preprocessing", "kernel_id": "23720222"}, {"ref": "dinhvietahn19021217/toxic-quora-question-19021217-dinhvietanh", "kernel_id": "23713729"}, {"ref": "sorahoang/19020034-tr-n-minh-ho-ng", "kernel_id": "23638167"}, {"ref": "hvit01/btl-ml", "kernel_id": "23699364"}, {"ref": "diepyen0903/18021455-nguy-n-di-p-y-n", "kernel_id": "23701845"}, {"ref": "diepyen0903/di-p-y-n", "kernel_id": "23633040"}, {"ref": "deeteecee/19021229-dangtrungcuong", "kernel_id": "23677280"}, {"ref": "nhungngc/quora-insincere-questions", "kernel_id": "23664556"}, {"ref": "ngogiang/classify-toxic-question-19021257", "kernel_id": "23613940"}, {"ref": "hngtrnngc/ml-questions-classification", "kernel_id": "23686079"}, {"ref": "phamngocdung18020378/dungpham", "kernel_id": "23676702"}, {"ref": "hieu18020481/18020481-nguyenminhhieu", "kernel_id": "23600977"}, {"ref": "vththuhng/18020623-v-th-thu-h-ng", "kernel_id": "23716412"}, {"ref": "hieuvunguyen/detect-toxic-question", "kernel_id": "23613271"}, {"ref": "haianh23102000/hoc-may", "kernel_id": "23611915"}, {"ref": "chanhneef/toxic-question", "kernel_id": "23635428"}, {"ref": "thinhpbp/ml2122-final", "kernel_id": "23640870"}, {"ref": "huuhung/quora-insincere-questions-final", "kernel_id": "23703857"}, {"ref": "duongdodang/18020391-ng-d-ng", "kernel_id": "23667388"}, {"ref": "cuongquoc103/insincere-questions", "kernel_id": "23659428"}, {"ref": "phannhohong/btl-h-c-m-y-18020562-phan-nho-ho-ng", "kernel_id": "23701186"}, {"ref": "thole17/insincere-questions", "kernel_id": "23693360"}, {"ref": "nguyentronghai/machine-learning", "kernel_id": "23701851"}, {"ref": "toancbg2509/19021372-b-i-v-n-to-n-ml-final-exam", "kernel_id": "23875612"}, {"ref": "alokevil/01-nlp-introduction", "kernel_id": "24984555"}, {"ref": "denizm9/subword-only-model", "kernel_id": "24155905"}, {"ref": "denizm9/4th-place", "kernel_id": "24112935"}, {"ref": "hoangthaotd123/quora-question-classifier-torch", "kernel_id": "24152089"}, {"ref": "yagyeshb/applying-basic-text-classification-approach", "kernel_id": "24514642"}, {"ref": "kodoorakiller/beginner-s-eda", "kernel_id": "24393067"}, {"ref": "sanyazaveri/ml-hardly-humans", "kernel_id": "25063649"}, {"ref": "justinian336/quora-insincere-questions-late-sub-lstm", "kernel_id": "26735673"}, {"ref": "ashik17cse/nlp-text-classification-by-trained-word2vec", "kernel_id": "26885170"}, {"ref": "besikikapanadze/freeuni-nlp-assigment-3", "kernel_id": "26529750"}, {"ref": "anuradhasaini/quora-insincere-que", "kernel_id": "27109248"}, {"ref": "akshatpathak/work-in-progress", "kernel_id": "27871387"}, {"ref": "huikang/quora-insincere-questions-explanation", "kernel_id": "28734711"}, {"ref": "aryanml007/quora-insincere-eda-lstm-gru-embeddings", "kernel_id": "28785667"}, {"ref": "jeffreykwan/quora-tests", "kernel_id": "28827155"}, {"ref": "danrosa10/comp-insincere-questions", "kernel_id": "29383326"}, {"ref": "jeffreykwan/transfer-learning-quora", "kernel_id": "29232625"}, {"ref": "akshatpattiwar/leaf-detection-classification", "kernel_id": "30301570"}, {"ref": "rahulappana/quora-classification-1", "kernel_id": "31017952"}, {"ref": "usmanhidral/lstm-with-capsule", "kernel_id": "32560230"}, {"ref": "vinitkp/quora-text-classification-vinitp", "kernel_id": "32414296"}, {"ref": "amirkonjkav/explanation-of-embedding-layer", "kernel_id": "32834351"}, {"ref": "lonnieqin/quora-text-classification-with-sklearn", "kernel_id": "32501943"}, {"ref": "dev523/text-classification-eda", "kernel_id": "32902113"}, {"ref": "paulcoo/fine-tuning-bert-text-classification", "kernel_id": "32948371"}, {"ref": "williamzhao196/notebookglovelstm", "kernel_id": "32413893"}, {"ref": "pranaypandey/classification-with-bag-of-words", "kernel_id": "33061399"}, {"ref": "aleemaparakatta/quora-insincere-questions-classification-nlp", "kernel_id": "34902387"}, {"ref": "rajsing/quora-text-classification", "kernel_id": "34590329"}, {"ref": "rcbhatt/quora-text-classification", "kernel_id": "34656742"}, {"ref": "shubhsehgal/quora-textclassification", "kernel_id": "34115871"}, {"ref": "edaaydinea/transfer-learning-for-nlp-with-tensorflow-hub", "kernel_id": "35849400"}, {"ref": "mdjohirulislam/nlp-text-classification-approach", "kernel_id": "35046602"}, {"ref": "ansh3101/text-classification-bow", "kernel_id": "35161571"}, {"ref": "krzysztofkepinski/quora-insincere", "kernel_id": "35140093"}, {"ref": "vijaykumarphy068/first-nlp-notebook-from-course", "kernel_id": "35562049"}, {"ref": "alejopaullier/detecting-noise-in-text-encoders", "kernel_id": "36071020"}, {"ref": "riteshj778/quora-text-classification", "kernel_id": "36506546"}, {"ref": "xiefei/how-to-preprocessing-when-using-embeddings", "kernel_id": "38519820"}, {"ref": "sundasshireen/capsule-net", "kernel_id": "38898381"}, {"ref": "suraj520/xlnet-know-train-infer", "kernel_id": "38929238"}, {"ref": "alawdisoft/quora-insincere-quesons", "kernel_id": "38450725"}, {"ref": "swapnilnarwade/quora-text-classification", "kernel_id": "39709815"}, {"ref": "madhurpant/quora-insincere-questions-bagofwords", "kernel_id": "39586588"}, {"ref": "baorbaor/using-glove-embedding", "kernel_id": "39582838"}, {"ref": "muhammadnaeem065/capsule-net", "kernel_id": "39076552"}, {"ref": "omershlomo/final-project-nlp", "kernel_id": "39196199"}, {"ref": "muntasirfahimniloy/simple-feed-forward-network-with-pytorch", "kernel_id": "39846639"}, {"ref": "eladshaked112/notebook6bce5f364e", "kernel_id": "39603356"}, {"ref": "aganguly/text-classification-bert", "kernel_id": "41812492"}, {"ref": "aganguly/peft-lora-finetuning", "kernel_id": "41828337"}, {"ref": "kamleshsahoo730/quora-nlp", "kernel_id": "41627664"}, {"ref": "dakshdadhania/quora-insincere", "kernel_id": "41366572"}, {"ref": "ryzhokhina/quora-insincere-questions-classification", "kernel_id": "42168235"}, {"ref": "muhammadhamzasabir/text-preproccesing-tf-idf", "kernel_id": "42675805"}, {"ref": "muhammadhamzasabir/basic-text-preprocessing", "kernel_id": "42503892"}, {"ref": "aganguly/cnn-nlp", "kernel_id": "42297689"}, {"ref": "aganguly/transformer-with-paragram-embedding", "kernel_id": "42483237"}, {"ref": "bhatnagardaksh/bert-powered-quora-questions-classification", "kernel_id": "42064946"}, {"ref": "kaushikkrsarma/quora-text-classification-nlp-simplest-explanation", "kernel_id": "42465150"}, {"ref": "muhammadhamzasabir/train-own-embeddings-using-word2vec", "kernel_id": "43422184"}, {"ref": "aganguly/transformer-with-glove-embedding-quora", "kernel_id": "43296395"}, {"ref": "kriangkraitan/scikit-llm-classification", "kernel_id": "43026289"}, {"ref": "areekuchvrakhde/text-processing-adv", "kernel_id": "44671337"}, {"ref": "tonikhilkumarreddy/quora", "kernel_id": "46369789"}, {"ref": "thisishusseinali/quora-insincere-questions-classification", "kernel_id": "47368776"}, {"ref": "usharengaraju/kerasnlp-quora-w-b", "kernel_id": "48294876"}, {"ref": "dhanyabahadur/text-data-an-introduction", "kernel_id": "48909864"}, {"ref": "mitchellodili/neural-networks-for-quora-classification", "kernel_id": "48366353"}, {"ref": "prayermafaune/use-of-lstm-cnn-embeddings-with-keras", "kernel_id": "49331270"}, {"ref": "chanchal24/quora-text-classification-using-nn", "kernel_id": "49944332"}, {"ref": "chanchal24/quora-text-classification", "kernel_id": "49785658"}, {"ref": "tooba10/clustering-using-sentence-transformers", "kernel_id": "50747190"}, {"ref": "jojoyin/ml-book-for-beginners-chapter7", "kernel_id": "50351858"}, {"ref": "ssrockss/nlpmy", "kernel_id": "50632798"}, {"ref": "priyamsaha17/fine-tuned-bert-for-questions-classification-2", "kernel_id": "51860757"}, {"ref": "priyamsaha17/fine-tuned-bert-for-questions-classification-1", "kernel_id": "51732282"}, {"ref": "ssrockss/notebook6aee67a598", "kernel_id": "54680016"}, {"ref": "ssrockss/notebook4e7f832f5d", "kernel_id": "55887734"}, {"ref": "nikolaidjenontin/quora-insincere-questions-nlp", "kernel_id": "55368023"}, {"ref": "agarwalvidhi/quora-text-classification", "kernel_id": "56967558"}, {"ref": "chien2003x/chien2", "kernel_id": "58159280"}, {"ref": "vladbudya/laboratorna-6", "kernel_id": "60685821"}, {"ref": "prashantpathak244/notebook240cb1cb2f", "kernel_id": "61336860"}, {"ref": "prajwallandge/neural-net-tutorial", "kernel_id": "61557619"}, {"ref": "prajwallandge/text-classification-bag-of-words", "kernel_id": "61557355"}, {"ref": "prashantpathak244/a-look-at-different-embeddings-in-pytorch", "kernel_id": "62156128"}, {"ref": "abdelazizsami/quora-insincere-questions-classification", "kernel_id": "62777979"}, {"ref": "kokeyehya/questions-classificationlstm-and-glove-embeddings", "kernel_id": "63968436"}, {"ref": "sanjvvs/bi-lstm-glove-300d", "kernel_id": "65489715"}, {"ref": "suvroo/how-ai-interprets-explainable-ai-lime-shap", "kernel_id": "66856309"}, {"ref": "twarner/quora-insincere-questions-classification", "kernel_id": "66338084"}, {"ref": "emangope/quora-insincere", "kernel_id": "67302686"}, {"ref": "awaken007/tf-idf-model-nlp", "kernel_id": "67230908"}, {"ref": "awaken007/quora-question-classification-nlp-a-try", "kernel_id": "67178250"}, {"ref": "madhuri55/quora", "kernel_id": "68030501"}, {"ref": "sofianechehboune/quora-text-classification", "kernel_id": "69943922"}, {"ref": "ghazouanihaythem/introducing-bert-with-tensorflow", "kernel_id": "71048091"}, {"ref": "olaelshiekh/lstm-forquoraclassification", "kernel_id": "72378355"}, {"ref": "tamernada/lstm-quora", "kernel_id": "72378370"}, {"ref": "ramiabdullah/14-quora-fake-question-detection-lstm", "kernel_id": "73139659"}, {"ref": "pavviaz/quora-lama-torch", "kernel_id": "74921278"}, {"ref": "phandai/quora-insincere-bert-hf-pipeline", "kernel_id": "75100623"}, {"ref": "aayushkubba/quora-simple-tf-idf-bert", "kernel_id": "76742320"}, {"ref": "debudey81/quora-text-classification-problem", "kernel_id": "76486090"}, {"ref": "gavinrobey/gavinrobey-and-coleolsen-submission", "kernel_id": "77077422"}, {"ref": "thareeshprabakaran/quora-questions-classification-with-finetuned-bert", "kernel_id": "77106727"}, {"ref": "maksudmalik/quora-question-classification", "kernel_id": "78835262"}, {"ref": "tranthanhtin/mang-xa-hoi", "kernel_id": "82298114"}, {"ref": "tranthanhtin/fork-of-mang-xa-hoi", "kernel_id": "82299854"}, {"ref": "hienk64bkhn/bert-classification-insincere", "kernel_id": "82730090"}, {"ref": "khoanguynquang/doanmxh", "kernel_id": "82592168"}, {"ref": "lolololo4488/quora-insincere", "kernel_id": "83925910"}, {"ref": "simimnnit/quora-text-classification-live", "kernel_id": "85494109"}, {"ref": "simimnnit/quora-classification-deep-learning-live", "kernel_id": "85589909"}, {"ref": "shinjansaha123/quora-question-classification", "kernel_id": "85181178"}, {"ref": "sukkart/bert-classification-train", "kernel_id": "86546947"}, {"ref": "dmitryvolovikov/quora-insincere-questions-classification", "kernel_id": "88216602"}, {"ref": "krishnayadav456wrsty/how-to-preprocessing-when-using-embeddings", "kernel_id": "88614785"}, {"ref": "njuspy/quora-insincere-questions-classification-1", "kernel_id": "90665942"}, {"ref": "aidensong123/bert-classification-train-2f41e4", "kernel_id": "93409451"}, {"ref": "ocwerfrancis/quora-text-classification", "kernel_id": "96295463"}, {"ref": "andreylee/nlp-lee-andrey", "kernel_id": "111669153"}, {"ref": "fakhretdinovarthur/notebooke955eaee3a", "kernel_id": "111309509"}, {"ref": "dtleminh/nlp-project-skeleton", "kernel_id": "111997670"}, {"ref": "dtleminh/nlp-project-h1", "kernel_id": "112022741"}, {"ref": "dtleminh/nlp-project-h0-1", "kernel_id": "112013073"}, {"ref": "cerxxxx/quora-insincere-questions-classification", "kernel_id": "112340323"}, {"ref": "hassaanwaheed/lstm-vs-gru", "kernel_id": "112123898"}, {"ref": "epoch404/quora-insincere-questions-classification", "kernel_id": "116159686"}, {"ref": "mdshafayeturrahman/quora-insincere-questions-nlp-classification", "kernel_id": "126695857"}]}
{"competition_id": "10738", "kernels": [{"ref": "xapulc/kernel4002924a27", "kernel_id": "3903485"}, {"ref": "klyushnik/rmse-is-top-baseline", "kernel_id": "91673687"}, {"ref": "lavandoviyruletik/rmse-is-top-baseline", "kernel_id": "107971133"}]}
{"competition_id": "10739", "kernels": [{"ref": "andrewolney/classification-example", "kernel_id": "1624101"}]}
{"competition_id": "10741", "kernels": []}
{"competition_id": "10747", "kernels": []}
{"competition_id": "10754", "kernels": [{"ref": "rodriguezcluis/stepwise-1", "kernel_id": "1747964"}]}
{"competition_id": "10755", "kernels": []}
{"competition_id": "10756", "kernels": []}
{"competition_id": "10757", "kernels": []}
{"competition_id": "10771", "kernels": [{"ref": "annabat/scoring-mlp", "kernel_id": "11956830"}, {"ref": "yeshanator/my-notebook", "kernel_id": "17433599"}, {"ref": "annbengardt/mljar-automl", "kernel_id": "45259496"}]}
{"competition_id": "10796", "kernels": []}
{"competition_id": "10823", "kernels": []}
{"competition_id": "10838", "kernels": []}
{"competition_id": "10851", "kernels": []}
{"competition_id": "10854", "kernels": [{"ref": "samiullah9/knn-training", "kernel_id": "124652409"}]}
{"competition_id": "10855", "kernels": []}
{"competition_id": "10856", "kernels": []}
{"competition_id": "10857", "kernels": []}
{"competition_id": "10858", "kernels": []}
{"competition_id": "10870", "kernels": []}
{"competition_id": "10874", "kernels": []}
{"competition_id": "10879", "kernels": []}
{"competition_id": "10888", "kernels": [{"ref": "caesarlupum/notebookbb56483c0e", "kernel_id": "15634839"}]}
{"competition_id": "10903", "kernels": [{"ref": "cacarelvas/example", "kernel_id": "1876683"}, {"ref": "fvermelho/submit-vermelho", "kernel_id": "1802533"}, {"ref": "valeriagomes/auc-0-76255-vegas-fia-third-submission", "kernel_id": "1881540"}, {"ref": "marcellechiriboga/credit-risk-analysis", "kernel_id": "7822454"}]}
{"competition_id": "10924", "kernels": []}
{"competition_id": "10948", "kernels": []}
{"competition_id": "10955", "kernels": []}
{"competition_id": "10956", "kernels": []}
{"competition_id": "10962", "kernels": []}
{"competition_id": "10971", "kernels": []}
{"competition_id": "10973", "kernels": []}
{"competition_id": "10992", "kernels": [{"ref": "znmean/brute-force-attack", "kernel_id": "1798893"}, {"ref": "tmheo74/1-titanic-eda-and-baseline-model", "kernel_id": "1775562"}, {"ref": "tmheo74/3-titanic-model-tuning-final", "kernel_id": "1811362"}, {"ref": "tmheo74/2-titanic-feature-engineering-v2", "kernel_id": "1819482"}, {"ref": "ronaldseoh/titanic", "kernel_id": "1808120"}, {"ref": "sabermetricsong/extreme-eda-and-simple-random-forest-model", "kernel_id": "1801563"}, {"ref": "wodlfrh/first-challenge", "kernel_id": "1770607"}]}
{"competition_id": "10994", "kernels": []}
{"competition_id": "10997", "kernels": []}
{"competition_id": "11000", "kernels": [{"ref": "longyunguo/cnn-with-a-squeeze-and-excitation-mechanism", "kernel_id": "874405"}, {"ref": "andrekos/basic-feature-benchmark-with-quantiles", "kernel_id": "2615048"}, {"ref": "behrad3d/a-template-for-vectorized-feature-extraction", "kernel_id": "2962404"}, {"ref": "inversion/basic-feature-benchmark", "kernel_id": "2605383"}, {"ref": "christoffer/quick-and-dirty-splitting-into-training-sequences", "kernel_id": "2611897"}, {"ref": "tanderton/hdf5-conversion-for-fast-data-loading", "kernel_id": "2844001"}, {"ref": "udaygurugubelli/tf-neuralnet", "kernel_id": "2707353"}, {"ref": "cartographic/quake-pipe-r", "kernel_id": "2718144"}, {"ref": "scirpus/is-downsampling-a-good-idea", "kernel_id": "2773865"}, {"ref": "scirpus/andrews-script-plus-a-genetic-program-model", "kernel_id": "2727089"}, {"ref": "scirpus/welch-gp", "kernel_id": "2665341"}, {"ref": "avloss/audio-analysis-with-animation", "kernel_id": "2852341"}, {"ref": "eigrad/wip-some-audio-digging", "kernel_id": "2645327"}, {"ref": "tsilveira/time-frequency-analysis-with-stft", "kernel_id": "2685401"}, {"ref": "srsteinkamp/quick-look-at-data-and-just-for-fun-analysis", "kernel_id": "2624886"}, {"ref": "allunia/shaking-earth", "kernel_id": "2608507"}, {"ref": "alinealmeida/basic-feature-benchmark-with-quantiles-augmenting", "kernel_id": "2635281"}, {"ref": "mmailloux22/i-m-quaking-in-my-boots", "kernel_id": "2816981"}, {"ref": "flaport/linear-regression-on-180-features", "kernel_id": "2706350"}, {"ref": "davids1992/watching-frequencies-in-the-data", "kernel_id": "2695118"}, {"ref": "davids1992/adversarial-validation", "kernel_id": "2912531"}, {"ref": "matthewarthur/earthquake-fastai-analytics-vidhya-base", "kernel_id": "2620253"}, {"ref": "matthewarthur/earthquake-preds", "kernel_id": "2619312"}, {"ref": "byfone/basic-feature-feat-catboost", "kernel_id": "2607951"}, {"ref": "byfone/neat-baseline-code-for-earthquake-prediction", "kernel_id": "2719237"}, {"ref": "artgor/seismic-data-eda-and-baseline", "kernel_id": "2607579"}, {"ref": "artgor/earthquakes-fe-more-features-and-samples", "kernel_id": "2621088"}, {"ref": "pankajb64/shake-it-up", "kernel_id": "2816697"}, {"ref": "gpreda/lanl-earthquake-eda-and-prediction", "kernel_id": "2619433"}, {"ref": "mayer79/rnn-starter-for-huge-time-series", "kernel_id": "2618984"}, {"ref": "mayer79/earthquake-forecast-with-random-forests", "kernel_id": "2798857"}, {"ref": "simonta/predict-time-of-earthquake-with-only-one-feature", "kernel_id": "2973650"}, {"ref": "jhasony/shaking-earth", "kernel_id": "2752685"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "ashishpatel26/updated-mix-model-with-mxtend-gp", "kernel_id": "2621086"}, {"ref": "ashishpatel26/lgb-xgb-kfold-genetic-programming", "kernel_id": "2657778"}, {"ref": "ashishpatel26/genetic-algorithm-for-beginner-to-advance", "kernel_id": "2159938"}, {"ref": "ashishpatel26/interpretability-of-ml-black-box-model-iml", "kernel_id": "2993104"}, {"ref": "braindeadcoder/understanding-and-preparing-seismic-data", "kernel_id": "2627504"}, {"ref": "sparshdutta/can-you-predict-the-next-earthquake", "kernel_id": "2881788"}, {"ref": "datark1/earthquakes-eda-understanding-data", "kernel_id": "2611794"}, {"ref": "sriram7777/earthquake-detection-baseline-with-fft", "kernel_id": "2803668"}, {"ref": "piumallick/earthquake-shivering-of-the-mother-earth", "kernel_id": "2631062"}, {"ref": "jpiyush3008/aftershock", "kernel_id": "2612710"}, {"ref": "jpiyush3008/basic-feature-benchmark-503e36", "kernel_id": "2651253"}, {"ref": "sereuk/modeling", "kernel_id": "2672247"}, {"ref": "tayyabali55/memory-issues-kernel-restarting-will-be-resolved", "kernel_id": "2657655"}, {"ref": "mgrapotte/finance-and-earthquakes", "kernel_id": "2709074"}, {"ref": "econdata/earthquakeprediction", "kernel_id": "2665769"}, {"ref": "jiazhuang/lstm-with-pytorch-for-beginners", "kernel_id": "2770844"}, {"ref": "jsaguiar/baseline-with-multiple-models", "kernel_id": "2638614"}, {"ref": "jsaguiar/seismic-data-exploration", "kernel_id": "2606506"}, {"ref": "mhviraf/a-few-thought-on-how-to-approach-this-problem", "kernel_id": "2612786"}, {"ref": "anuragsahoo/earthquake-prediction-new", "kernel_id": "2834562"}, {"ref": "nitingoyal09/lanl-earthquake-prediction-categorical-boosting", "kernel_id": "2888669"}, {"ref": "dumbo666/digit-recognizer-different-methods", "kernel_id": "2625112"}, {"ref": "saeedheydari/eda-data", "kernel_id": "2648560"}, {"ref": "saeedheydari/lanl-earthquake-eda-and-prediction", "kernel_id": "2648605"}, {"ref": "nikitagribov/analysis-function-for-seismic-signal-data", "kernel_id": "2623589"}, {"ref": "nikitagribov/seismic-signal-eda-analysis-function", "kernel_id": "2623662"}, {"ref": "zikazika/useful-new-features-and-a-optimised-model", "kernel_id": "2623873"}, {"ref": "zikazika/memory-problems", "kernel_id": "2622487"}, {"ref": "manyregression/lanl-earthquake-prediction-fastai-random-forest", "kernel_id": "2609967"}, {"ref": "nisargpatel/time-series-garch-ts-regression", "kernel_id": "2843348"}, {"ref": "wimwim/rolling-quantiles", "kernel_id": "2627879"}, {"ref": "wellingtonfsouza/lanl-earthquake-preliminary-data-analysis", "kernel_id": "2626431"}, {"ref": "roydatascience/microsoft-malware-solution-silver-medal", "kernel_id": "2476641"}, {"ref": "karanjakhar/neural-network-earthquake-time-to-failure", "kernel_id": "2675973"}, {"ref": "michael422/spectrogram-convolution", "kernel_id": "2960353"}, {"ref": "michael422/tf-lstm-on-acoustic-signals", "kernel_id": "2942451"}, {"ref": "tmunyanyi22/ey-making-features", "kernel_id": "2896322"}, {"ref": "kalyankkr/predicting-movement", "kernel_id": "2950648"}, {"ref": "kalyankkr/sesmic-signal", "kernel_id": "2884523"}, {"ref": "deepak525/ensemble", "kernel_id": "2988169"}, {"ref": "zzerozz/190711-seminar-nghiadt", "kernel_id": "2725861"}, {"ref": "harshitholmes/extra-trial", "kernel_id": "2970276"}, {"ref": "harshitholmes/testing-each-every-regressor-with-own-instances", "kernel_id": "2691150"}, {"ref": "rihadv/seismic-data-eda-and-baseline", "kernel_id": "2893969"}, {"ref": "rihadv/shaking-earth", "kernel_id": "2893032"}, {"ref": "vaibhav2201/earthquake-prediction-rnn-773103", "kernel_id": "2689272"}, {"ref": "johnnyd113/baseline-with-explanations-how-to-get-started", "kernel_id": "2715840"}, {"ref": "tahirmuslimscientist/lanl-earthquake-understanding", "kernel_id": "2740793"}, {"ref": "reginashay/earthquakes-explore-predict", "kernel_id": "2611954"}, {"ref": "jazivxt/aftershock", "kernel_id": "2607848"}, {"ref": "fanconic/earthquake-cnn", "kernel_id": "2642743"}, {"ref": "shobhit18th/earthquake-prediction", "kernel_id": "2887707"}, {"ref": "devilears/rnn-starter-kernel-with-notebook", "kernel_id": "2742783"}, {"ref": "frankkoehne/autocorrelation-perspective-r", "kernel_id": "2612209"}, {"ref": "elvenmonk/lanl-ttf-error", "kernel_id": "2769978"}, {"ref": "elvenmonk/lanl-regression", "kernel_id": "2715272"}, {"ref": "elvenmonk/lanl-feature-engineering", "kernel_id": "2715124"}, {"ref": "elvenmonk/lanl-feature-plots", "kernel_id": "2742625"}, {"ref": "elvenmonk/splitting-lanl-training-data-by-earthquakes", "kernel_id": "2617559"}, {"ref": "elvenmonk/lanl-extract-training-acoustic-data", "kernel_id": "2975476"}, {"ref": "aquaintel/earthquake-time-prediction-at-lab-scale", "kernel_id": "2679301"}, {"ref": "gayankuruppu/lets-predict-earthquakes", "kernel_id": "2614282"}, {"ref": "nikolaym/problem-with-big-size-of-train-csv", "kernel_id": "2642322"}, {"ref": "stevedelear/description-of-problem", "kernel_id": "2618869"}, {"ref": "johnjarmitage/forest-regression-using-lightgbm", "kernel_id": "2751278"}, {"ref": "hasanyildiz84/lanl-earthquake-prediction-hy-kernel", "kernel_id": "2999373"}, {"ref": "aperezhortal/eda-on-the-frequency-domain-fft", "kernel_id": "2941508"}, {"ref": "abhishek/quite-a-few-features-1-51", "kernel_id": "3649406"}, {"ref": "wjholst/lanl-earthquake-eda-and-ensemble-prediction", "kernel_id": "3448941"}, {"ref": "silence2/train-data-processing", "kernel_id": "3568393"}, {"ref": "scirpus/earthquake-gp-filter", "kernel_id": "3819160"}, {"ref": "scirpus/gp-teeny-tiny", "kernel_id": "3856283"}, {"ref": "scirpus/gp-probability-then-project-on-target", "kernel_id": "3729090"}, {"ref": "scirpus/earthquake-wood-for-the-trees", "kernel_id": "3727784"}, {"ref": "scirpus/mfcc-with-gp", "kernel_id": "3765706"}, {"ref": "scirpus/andrews-new-script-plus-a-genetic-program-model", "kernel_id": "3707333"}, {"ref": "scirpus/canadian-clustering", "kernel_id": "3650640"}, {"ref": "scirpus/unoriginal-lstm", "kernel_id": "3962420"}, {"ref": "fernandoramacciotti/weibull-time-to-failure", "kernel_id": "3654752"}, {"ref": "fernandoramacciotti/wavelet-features-xgb-bayesianopt", "kernel_id": "3647397"}, {"ref": "ragia11/kernele0c4596318", "kernel_id": "3875820"}, {"ref": "tunguz/lanl-earthquake-with-h2o-automl", "kernel_id": "3058055"}, {"ref": "tunguz/andrews-features-only", "kernel_id": "3020627"}, {"ref": "analyst8/benchmark-program-explained-for-newbies", "kernel_id": "3595887"}, {"ref": "ahmedengu/lanl-earthquake-with-h2o-automl", "kernel_id": "3101550"}, {"ref": "ahmedengu/lanl-earthquake-simple-svm", "kernel_id": "3025167"}, {"ref": "amitkumarjaiswal/lanl-earthquake-with-fastai", "kernel_id": "3659084"}, {"ref": "amitkumarjaiswal/feature-modeling-stuff", "kernel_id": "3868049"}, {"ref": "hsinwenchang/more-dense-layer", "kernel_id": "3543834"}, {"ref": "hsinwenchang/mfcc-randomforestregressor-catboostregressor", "kernel_id": "3634794"}, {"ref": "sorokin/discrete-time-to-failure", "kernel_id": "3604380"}, {"ref": "corochann/masters-final-project-eda", "kernel_id": "3787640"}, {"ref": "arkaung/earthquakes-over-feature-engineering-lightgbm", "kernel_id": "3214411"}, {"ref": "sandy1112/gabriel-s-kernel-with-updated-params-lb-1-50", "kernel_id": "3665805"}, {"ref": "asydorchuk/visualising-quakes-with-log-filter-banks", "kernel_id": "3390148"}, {"ref": "vettejeep/masters-final-project-eda", "kernel_id": "3774998"}, {"ref": "vettejeep/masters-final-project-model-lb-1-392", "kernel_id": "3775034"}, {"ref": "vettejeep/attempt-at-genetic-programming-with-gplearn", "kernel_id": "3788078"}, {"ref": "code1110/event-triggered-analysis-in-eda", "kernel_id": "3827197"}, {"ref": "isaranja/lanl-earthquake-statistical-features-with-lstm", "kernel_id": "3937644"}, {"ref": "isaranja/lanl-earthquake-simple-conv1d", "kernel_id": "3567150"}, {"ref": "robikscube/lanl-earthquake-melspectrogram-images-fastai-nn", "kernel_id": "3827708"}, {"ref": "prafulbhoyar/batch-processing-and-windowing-through-the-data", "kernel_id": "3346031"}, {"ref": "ranjoranjan/simple-blend", "kernel_id": "3181480"}, {"ref": "artgor/even-more-features", "kernel_id": "3678653"}, {"ref": "artgor/feature-selection-model-interpretation-and-more", "kernel_id": "3665996"}, {"ref": "maicon1981/lanl-earthquake-prediction", "kernel_id": "3994275"}, {"ref": "pankajb64/lanl-ep-rnn", "kernel_id": "3211176"}, {"ref": "zhanglic/earthquakes-fe-split-the-data-fft", "kernel_id": "3542991"}, {"ref": "gpreda/lanl-earthquake-new-approach-eda", "kernel_id": "3663174"}, {"ref": "gpreda/lanl-earthquake-prediction", "kernel_id": "3058326"}, {"ref": "darrellulm/earthquake-predictions-ensemble-neural-ne-1f04f4", "kernel_id": "3122908"}, {"ref": "darrellulm/earthquake-predictions-ensemble-neural-ne-bd9705", "kernel_id": "3122915"}, {"ref": "darrellulm/earthquake-predictions-ensemble-neural-networks", "kernel_id": "3122275"}, {"ref": "vasinkd/picturesfromsignal", "kernel_id": "3298226"}, {"ref": "pestipeti/signal-and-frequency-data-animation", "kernel_id": "3967710"}, {"ref": "ricarddelgado/lanl-sampling-schemes", "kernel_id": "3245504"}, {"ref": "tianyiy/svd-denoise", "kernel_id": "3930904"}, {"ref": "daisukelab/balancing-dataset-while-earthquake-is-happening", "kernel_id": "3503258"}, {"ref": "daisukelab/lanl-solution-by-mel-spectrogram-dataset-2", "kernel_id": "3574996"}, {"ref": "rafzy15/15-features-lgb-lb-1-483", "kernel_id": "3725795"}, {"ref": "attackgnome/basic-feature-benchmark-rfecv-xgboost", "kernel_id": "3637103"}, {"ref": "aritrase/earthquake-ver2-top35features", "kernel_id": "3139215"}, {"ref": "suraj4singh/fft-continue", "kernel_id": "3184526"}, {"ref": "daftintrovert/lanl-earthquake-prediction", "kernel_id": "3267402"}, {"ref": "miklgr500/fast-failure-detector", "kernel_id": "3583880"}, {"ref": "miklgr500/failure-state-detection", "kernel_id": "3950687"}, {"ref": "manish1998/neural-networks-using-keras", "kernel_id": "3619124"}, {"ref": "brianmo/apply-np-log-to-acoustic-data", "kernel_id": "3249578"}, {"ref": "returnofsputnik/lanl-tcn-starter-v5", "kernel_id": "3581680"}, {"ref": "sklasfeld/basic-feature-benchmark", "kernel_id": "3342244"}, {"ref": "latimerb/lanl-getting-started-mlp-rf-ensembles", "kernel_id": "3563079"}, {"ref": "tarunpaparaju/lanl-earthquake-prediction-new-features", "kernel_id": "3707272"}, {"ref": "tarunpaparaju/lanl-earthquake-prediction-signal-denoising", "kernel_id": "3681895"}, {"ref": "tarunpaparaju/lanl-earthquake-prediction-fresh-eda", "kernel_id": "3645415"}, {"ref": "amignan/baseline-rf-model-reproducing-the-2017-paper", "kernel_id": "3871945"}, {"ref": "mrganger/lanl-finding-l-estimators-via-pca", "kernel_id": "3539896"}, {"ref": "purehyd/lanl-mobilenet-trial2", "kernel_id": "3554135"}, {"ref": "purehyd/1dxeption-v2-non-cv-lr-0-0001-drop-0-05-l2-0-1", "kernel_id": "3622012"}, {"ref": "yahoyoungho/young-slanl", "kernel_id": "3260372"}, {"ref": "rahool214/signal-threshold-test", "kernel_id": "3427319"}, {"ref": "azoghbi/explore-lanl-earthquake-data", "kernel_id": "3629774"}, {"ref": "mgiraygokirmak/simple-baseline-with-xgboost", "kernel_id": "3482945"}, {"ref": "mrgodsay/fe-and-regression", "kernel_id": "3724649"}, {"ref": "dineshm2/lanl-earthquake-prediction", "kernel_id": "3482203"}, {"ref": "theupgrade/creating-breaks-as-start-ends-of-bins", "kernel_id": "3283750"}, {"ref": "bigironsphere/basic-data-augmentation-feature-reduction", "kernel_id": "3825152"}, {"ref": "bigironsphere/parameter-tuning-in-one-function-with-hyperopt", "kernel_id": "3661325"}, {"ref": "bigironsphere/a-new-approach-ttf-classifiers-for-fine-tuning", "kernel_id": "3598082"}, {"ref": "bigironsphere/rock-music-frequency-eda-fe-via-lomb-scargle", "kernel_id": "3259108"}, {"ref": "jsaguiar/predicting-earthquake-number", "kernel_id": "3661155"}, {"ref": "jsaguiar/feature-selection", "kernel_id": "3134375"}, {"ref": "delai50/segment-comparison-vpub", "kernel_id": "3210962"}, {"ref": "anuragshas/lanl-earthquake-prediction", "kernel_id": "3709374"}, {"ref": "isaacshannon/isaac-fast-ai-evo", "kernel_id": "3506440"}, {"ref": "leighplt/laboratory-ac-data-exp-p4581", "kernel_id": "3720163"}, {"ref": "taqanori/trying-mfcc-mel-frequency-cepstral-coefficients", "kernel_id": "3541235"}, {"ref": "dumbo666/fork-of-earthquake-prediction-2", "kernel_id": "3366865"}, {"ref": "shihyu/earthquake-competition-without-creating-data", "kernel_id": "3991178"}, {"ref": "shihyu/earthquake-prediction", "kernel_id": "3930796"}, {"ref": "gus666/script-try", "kernel_id": "3790255"}, {"ref": "gus666/basic-feature-benchmark", "kernel_id": "3667661"}, {"ref": "gus666/earth-quake-predict", "kernel_id": "3498012"}, {"ref": "buchan/transformer-network-with-1d-cnn-feature-extraction", "kernel_id": "3544189"}, {"ref": "jrspindola/earthquake-signals-separated", "kernel_id": "3993792"}, {"ref": "rahulvs94/earthquake-prediction", "kernel_id": "3025187"}, {"ref": "harshel7/earthquake-prediction-ensemble-nn", "kernel_id": "3102382"}, {"ref": "harshel7/earthquake-predictions-ensemble-neural-networks", "kernel_id": "3104717"}, {"ref": "peterkirschner/train-and-val-set-generator", "kernel_id": "3629175"}, {"ref": "zikazika/what-if-we-denoise-the-data", "kernel_id": "3642816"}, {"ref": "zikazika/how-to-score-high", "kernel_id": "3840707"}, {"ref": "manyregression/fastai-tabular-nn", "kernel_id": "3349017"}, {"ref": "manyregression/create-features-and-save-to-feather", "kernel_id": "3519006"}, {"ref": "arpitr07/lanl-earthquake-prediction-xgbregressor", "kernel_id": "3668221"}, {"ref": "maneshreyashs/lgbm-xgb", "kernel_id": "3630916"}, {"ref": "maneshreyashs/kernelcbb1e58da9", "kernel_id": "3596436"}, {"ref": "gideonvos/earthquake-prediction-with-xgboost-lb1-496", "kernel_id": "3852846"}, {"ref": "nisargpatel/time-to-failure-model", "kernel_id": "3279284"}, {"ref": "wimwim/wavenet-lstm", "kernel_id": "3827161"}, {"ref": "wimwim/stacked-raw-lstm", "kernel_id": "3462231"}, {"ref": "mg78838/all-features-mg", "kernel_id": "3987999"}, {"ref": "sdoria/eq-v1", "kernel_id": "3291358"}, {"ref": "sdoria/pytorch-version-of-rnn-starter", "kernel_id": "3190553"}, {"ref": "tandonarpit6/lanl-earthquake-prediction-fast-ai", "kernel_id": "3313431"}, {"ref": "pnussbaum/earthquake-pred-cnn-medical-analogy-v07", "kernel_id": "3662830"}, {"ref": "wangwangsuibinbin/lanl-tcn-trial2", "kernel_id": "3648938"}, {"ref": "yjc381818896/fork-of-earthquake-1-54", "kernel_id": "3750179"}, {"ref": "willbrazil/kernel58af5d2208", "kernel_id": "3155302"}, {"ref": "ochiwankenobi/conv1d-spectrogram", "kernel_id": "3379396"}, {"ref": "duansm/crnn-for-mnist", "kernel_id": "3137837"}, {"ref": "sj626591833/lanl-earthquake-eda-and-prediction", "kernel_id": "3892017"}, {"ref": "subham121singh/earthquake-shaking-earth", "kernel_id": "3645995"}, {"ref": "superluminal098/gplearn-runtime-management-and-regression", "kernel_id": "3836787"}, {"ref": "superluminal098/tsfresh-features-and-regression-blend", "kernel_id": "3730621"}, {"ref": "cjinny/cudnngru-with-stratifiedkfold", "kernel_id": "3674652"}, {"ref": "cjinny/lgb-feature-engineering-and-kfold", "kernel_id": "3705628"}, {"ref": "lorevala/1d-cnn-training1", "kernel_id": "3650345"}, {"ref": "lorevala/1d-cnn-testing1", "kernel_id": "3662545"}, {"ref": "candyke/eda-of-lanl-earthquake-prediction", "kernel_id": "3590344"}, {"ref": "edumotya/ssa-dimensionality-reduction-lanl-toy-example", "kernel_id": "3447969"}, {"ref": "mithila3/earthquake-prediction", "kernel_id": "3643726"}, {"ref": "wajnryt/andrews-new-script-plus-a-genetic-program-model", "kernel_id": "3820454"}, {"ref": "wajnryt/basic-feature-benchmark", "kernel_id": "3810010"}, {"ref": "gdoteof/fastai-tabular-nn", "kernel_id": "3661439"}, {"ref": "byilmaz/predict-the-unpredictable-with-kodlam-yoruz", "kernel_id": "3896300"}, {"ref": "benmarmar/feature-creation", "kernel_id": "3820440"}, {"ref": "benmarmar/feature-selection-projet", "kernel_id": "3642813"}, {"ref": "yhyukihama/first-kaggle-challenge-lanl-earthquake-prediction", "kernel_id": "3699642"}, {"ref": "ashking13th/kernel62457219c0", "kernel_id": "3753067"}, {"ref": "lavanyadml/lanl-earthquake-prediction", "kernel_id": "3230381"}, {"ref": "lavanyadml/lanl-earthquake-prediction-ls", "kernel_id": "3235801"}, {"ref": "lavanyadml/earthquakes-ls", "kernel_id": "3245440"}, {"ref": "pedrormarques/lanl-simple-v2", "kernel_id": "3558439"}, {"ref": "pedrormarques/fft-experiment", "kernel_id": "3602019"}, {"ref": "pedrormarques/fft-512-frequencies", "kernel_id": "3617076"}, {"ref": "pedrormarques/fft-exp-cv", "kernel_id": "3605164"}, {"ref": "pedrormarques/signal-convolution-v4", "kernel_id": "3895156"}, {"ref": "pedrormarques/signal-model-explain", "kernel_id": "3882008"}, {"ref": "pedrormarques/fft-visualize", "kernel_id": "3952388"}, {"ref": "devilears/siraj-s-steps-lstm", "kernel_id": "3079577"}, {"ref": "ashay10001/lanl-earthquake-prediction-in-svr", "kernel_id": "3043584"}, {"ref": "ashay10001/stacking-of-svr-and-catboost", "kernel_id": "3096328"}, {"ref": "itamart/jerusml-basic-features-benchmark", "kernel_id": "3824373"}, {"ref": "cevangelist/lab-seismic-waves-feature-exploration", "kernel_id": "3373953"}, {"ref": "friedchips/how-to-reduce-the-training-data-to-400mb", "kernel_id": "3063426"}, {"ref": "foramjavia/lanl-earthquake-prediction-all-models", "kernel_id": "3702872"}, {"ref": "elvenmonk/lanl-ttf-error-validation", "kernel_id": "3672938"}, {"ref": "elvenmonk/lanl-gp-regression", "kernel_id": "3759652"}, {"ref": "nmpiskin/earthquake-prediction-with-lstm", "kernel_id": "3136249"}, {"ref": "kanchannannavare/earthquake-prediction-lanl", "kernel_id": "3979256"}, {"ref": "oguzkoroglu/lanl-earthquake-prediction-catboost-optimizations", "kernel_id": "3730060"}, {"ref": "oguzkoroglu/random-forest-feature-selection", "kernel_id": "3768347"}, {"ref": "oguzkoroglu/lanl-catboost-feature-evaluation", "kernel_id": "3811151"}, {"ref": "oguzkoroglu/andrews-new-script-genetic-program-and-gplearn", "kernel_id": "3809471"}, {"ref": "oguzkoroglu/andrews-features-and-gplearn", "kernel_id": "3817610"}, {"ref": "oguzkoroglu/andrews-features-and-random-forest", "kernel_id": "3839672"}, {"ref": "rsaund/lanl-shap", "kernel_id": "3658344"}, {"ref": "gianfrancobarone/lanl-nn-starter", "kernel_id": "3590725"}, {"ref": "gianfrancobarone/lanl-nn-ensemble-starter2", "kernel_id": "3954942"}, {"ref": "shyam0905/kernel5796536570", "kernel_id": "3717399"}, {"ref": "subhamsharma96/earthquake-prediction-eda-featureengineering-svr", "kernel_id": "3047571"}, {"ref": "sudsyrutledge/quantile-knn-feature-model", "kernel_id": "3645698"}, {"ref": "matsumotoshintaro/so-simple-lightgbm-lightgbm", "kernel_id": "3862943"}, {"ref": "matsumotoshintaro/so-simple-xgboosting-xgboosting", "kernel_id": "3953137"}, {"ref": "matsumotoshintaro/so-simple-nn", "kernel_id": "3969902"}, {"ref": "matsumotoshintaro/so-simple-blend-model-new-ver", "kernel_id": "3970507"}, {"ref": "matsumotoshintaro/so-simple-blend-model", "kernel_id": "3965293"}, {"ref": "scaomath/lanl-earthquake-lightgbm-using-power-spectra", "kernel_id": "3674969"}, {"ref": "scaomath/lanl-earthquake-eda-spectral-analysis-using-fft", "kernel_id": "3609608"}, {"ref": "cemreefe/ep-eda-kernel-d-zg-n", "kernel_id": "3337297"}, {"ref": "cemreefe/model-kernel-dlai-trigger-word", "kernel_id": "3357472"}, {"ref": "cemreefe/killer-model-extra", "kernel_id": "3862413"}, {"ref": "cemreefe/killer-model-extra-trashplot", "kernel_id": "3876315"}, {"ref": "eylulyalcinkaya/exploratory-data-analysis", "kernel_id": "3347887"}, {"ref": "carolmay/earthquake-draft", "kernel_id": "3105537"}, {"ref": "manaan/svr-gridsearch", "kernel_id": "3959640"}, {"ref": "aperezhortal/cv-splitting-by-earthquake-id", "kernel_id": "3360427"}, {"ref": "juliusmannes/kernel792117c7bb", "kernel_id": "3309897"}, {"ref": "madadinga/model-tuning-rf", "kernel_id": "3885034"}, {"ref": "madadinga/model-tuning-adaboost", "kernel_id": "3892166"}, {"ref": "madadinga/feature-extraction", "kernel_id": "3894712"}, {"ref": "madadinga/data-analysis", "kernel_id": "3556338"}, {"ref": "madadinga/model-tuning-catboost", "kernel_id": "3961202"}, {"ref": "dobosp/lgbm-tunning-bayes-search", "kernel_id": "3813317"}, {"ref": "dobosp/more-features", "kernel_id": "3814678"}, {"ref": "sakagkaggle/only-3-features", "kernel_id": "3989851"}, {"ref": "edj17123/kernelaac857aa2d", "kernel_id": "3559573"}, {"ref": "wojteck/deep-learninig-reg", "kernel_id": "3943572"}, {"ref": "jayaprakashnayak/shaking-earth", "kernel_id": "3172936"}, {"ref": "adubitskiy/rnn-with-cnn-feature-extraction", "kernel_id": "3049618"}, {"ref": "hark99/lanl-earthquake-prediction", "kernel_id": "3837929"}, {"ref": "ficklemaverick/feature-generation-using-time-series-stats", "kernel_id": "3747967"}, {"ref": "rishabh456/earthquake-predict-cloudera", "kernel_id": "3350708"}, {"ref": "azc2019/seismic-data-eda-and-baseline", "kernel_id": "3647837"}, {"ref": "azc2019/kerneld7b72dcfcb", "kernel_id": "3653508"}, {"ref": "azc2019/earthquake-forecast-with-random-forests", "kernel_id": "3655441"}, {"ref": "azc2019/for-testing-only", "kernel_id": "3655304"}, {"ref": "rianwesley/earthquakes-fe-more-features-and-samples-8d9773", "kernel_id": "3877647"}, {"ref": "bunchofcoders/lanl-earth-quake-predicion", "kernel_id": "3773864"}, {"ref": "ashish11701521/lanl-earthquake-prediction-by-ashish-singh", "kernel_id": "3721551"}, {"ref": "thomaskhu/import-and-eda", "kernel_id": "3641796"}, {"ref": "eedave86/tuned-dense-dnn", "kernel_id": "3704327"}, {"ref": "idog90/lanl-competition-why-do-spectrograms-fail", "kernel_id": "3859199"}, {"ref": "talhazaidi/lanl-earthquake-eda-and-prediction", "kernel_id": "3645150"}, {"ref": "jkprudhomme/earthquake-testing", "kernel_id": "3703971"}, {"ref": "venkatakkinapalli/earthquake", "kernel_id": "3960067"}, {"ref": "kessido/fork-of-fork-of-lanl-earthquake-prediction-in-dl", "kernel_id": "3946533"}, {"ref": "kessido/ido-kess", "kernel_id": "3890457"}, {"ref": "senaas/earthquake-prediction-with-datalk", "kernel_id": "3931499"}, {"ref": "caglatoprak/guide-to-earthquake-prediction-by-pydep", "kernel_id": "3925895"}, {"ref": "titericz/top-1-lb-2-252-private", "kernel_id": "4147658"}, {"ref": "trentb/one-feature-no-ml-gold-medal-range", "kernel_id": "4180314"}, {"ref": "user164919/earthquakes-fe-more-features-and-samples", "kernel_id": "4011529"}, {"ref": "amjad85/10th-place-feature-engineering", "kernel_id": "4147849"}, {"ref": "alexsemenov/130th-private-lb-ideas-35th-on-public-lb", "kernel_id": "4129395"}, {"ref": "tunguz/lanl-adversarial-validation-shakeup-is-coming", "kernel_id": "4046284"}, {"ref": "ahmedengu/lanl-master-s-features-autosklearn", "kernel_id": "4156078"}, {"ref": "ahmedengu/lanl-master-s-features-h2o-automl", "kernel_id": "4099027"}, {"ref": "ahmedengu/lanl-master-s-features-tpot", "kernel_id": "4117665"}, {"ref": "ahmedengu/lanl-catboost-mae-vs-rmse", "kernel_id": "4052330"}, {"ref": "stevensun/kernel5ad7213e2d", "kernel_id": "4387348"}, {"ref": "eivolkova/basic-feature-benchmark-d61545", "kernel_id": "4418717"}, {"ref": "eivolkova/basic-feature-benchmark", "kernel_id": "4419075"}, {"ref": "isaranja/lanl-earthquake-conv1d-series", "kernel_id": "4028460"}, {"ref": "robikscube/the-race-for-lanl", "kernel_id": "4088731"}, {"ref": "robikscube/lanl-simulating-the-test-set", "kernel_id": "4121480"}, {"ref": "mks2192/lanl-shake-up-report", "kernel_id": "4149203"}, {"ref": "returnofsputnik/understanding-the-mean-med-ttf-of-our-datasets", "kernel_id": "4091390"}, {"ref": "cuteliudong/rolling-rnn", "kernel_id": "4052652"}, {"ref": "vinayaks/feature-selection-simplified", "kernel_id": "4053188"}, {"ref": "mooson/eda-waveletpackage", "kernel_id": "4019256"}, {"ref": "vaibhavmathur96/best-lanl-earthquake-prediction-model-lb-1-392", "kernel_id": "4028821"}, {"ref": "vaibhavmathur96/fork-of-masters-final-project-model-lb-1-392", "kernel_id": "4028846"}, {"ref": "vaibhavmathur96/how-to-score-high", "kernel_id": "4028865"}, {"ref": "vaibhavmathur96/fork-of-fork-of-masters-final-project-model-lb", "kernel_id": "4028917"}, {"ref": "dkaraflos/1-geomean-nn-and-6featlgbm-2-259-private-lb", "kernel_id": "4184367"}, {"ref": "tomohiro05/earthquake-occurs-0-32ttf-after-a-large-signal", "kernel_id": "4172398"}, {"ref": "teeyee314/rnn-earthquake-regression", "kernel_id": "4150281"}, {"ref": "mg78838/combined", "kernel_id": "4130396"}, {"ref": "mg78838/xgb-mg-all", "kernel_id": "4047402"}, {"ref": "roydatascience/lanl-lightgbm-and-keras-nn", "kernel_id": "4047385"}, {"ref": "chenxinye/how-dangerous-the-master-kernel-s-feature-is", "kernel_id": "4065424"}, {"ref": "pnussbaum/dwt-earthquake-w-lto-v0301", "kernel_id": "4112398"}, {"ref": "pnussbaum/dwt-earthquake-w-lto-v01", "kernel_id": "4092067"}, {"ref": "itamargr/recurrent", "kernel_id": "4003241"}, {"ref": "slashie/lanl-final", "kernel_id": "4129148"}, {"ref": "maximim/wavelet-transf-capsunet", "kernel_id": "4100339"}, {"ref": "zechengzhang/quake-final-2", "kernel_id": "4133997"}, {"ref": "felipefonte99/plotting-295-features-vs-time-to-failure", "kernel_id": "4074880"}, {"ref": "felipefonte99/cnn-on-images", "kernel_id": "4101793"}, {"ref": "felipefonte99/leave-one-out", "kernel_id": "4024001"}, {"ref": "wangjinjie722/kernelcc8f09c01c", "kernel_id": "4006205"}, {"ref": "jim5uz/lanl-abdumalik-s-kernel-simple-models", "kernel_id": "4026138"}, {"ref": "aakarkale/earthquake-prediction", "kernel_id": "4082512"}, {"ref": "pedrormarques/lanl-generator-py", "kernel_id": "4009462"}, {"ref": "pedrormarques/signal-convolution-v6", "kernel_id": "4010019"}, {"ref": "pedrormarques/selected-features", "kernel_id": "4056319"}, {"ref": "friedchips/simple-cnn-would-have-been-top-25", "kernel_id": "4145963"}, {"ref": "ilu000/1-private-lb-kernel-lanl-lgbm", "kernel_id": "4142388"}, {"ref": "tavoglc/a-light-weight-time-to-event-regression", "kernel_id": "4093327"}, {"ref": "scaomath/lanl-lgb-selective-data-augmentation", "kernel_id": "4103180"}, {"ref": "scaomath/lanl-earthquake-rnn-with-multiple-target-values", "kernel_id": "4027662"}, {"ref": "scaomath/lanl-earthquake-lgb-customized-loss-bootstrapping", "kernel_id": "4017500"}, {"ref": "dobosp/tunning-bayes-search-catmodel", "kernel_id": "4123892"}, {"ref": "vipul97/lanl-earthquake-prediction-model", "kernel_id": "4071046"}, {"ref": "o93333/lanl-earthquake", "kernel_id": "4384237"}, {"ref": "hark99/best-lanl", "kernel_id": "4136827"}, {"ref": "hark99/lanlep", "kernel_id": "4048539"}, {"ref": "cancerian/finalproject", "kernel_id": "4056764"}, {"ref": "leonshangguan/new-earthquake-30fe-lgbm-nn-catboost-xgb", "kernel_id": "4081604"}, {"ref": "bentozord/analiza-i-eksploracja-danych", "kernel_id": "4033144"}, {"ref": "talhazaidi/cnn-lstm-with-less-features", "kernel_id": "4328592"}, {"ref": "talhazaidi/kernelbeb4c2946d", "kernel_id": "4341873"}, {"ref": "talhazaidi/featured-analysis-new-approachs", "kernel_id": "4272350"}, {"ref": "talhazaidi/model-4-more-features", "kernel_id": "4224261"}, {"ref": "talhazaidi/wavenet-lstm", "kernel_id": "4131422"}, {"ref": "vanquan/lanl-earthquake-catboostregressor", "kernel_id": "4410746"}, {"ref": "ikedak2/lanl-vettejeep-split-2", "kernel_id": "4021207"}, {"ref": "ikedak2/lanl-vettejeep-split-1", "kernel_id": "4020546"}, {"ref": "ikedak2/lanl-vettejeep-modeling-lgb", "kernel_id": "4029097"}, {"ref": "ikedak2/lanl-vettejeep-join", "kernel_id": "4027380"}, {"ref": "silentka/earthquakes-fe-more-features-and-samples", "kernel_id": "4336193"}, {"ref": "bigateship/code1", "kernel_id": "4057048"}, {"ref": "bigateship/code0", "kernel_id": "4045051"}, {"ref": "carpediemamigo/lanl-xgb", "kernel_id": "4642994"}, {"ref": "anuraglahon/earthquake", "kernel_id": "5159312"}, {"ref": "akseersafdar/earth-quake-pred-using-catboost-svm-nn-xgboost", "kernel_id": "5161205"}, {"ref": "captainkore/lanl-earthquake-prediction-freq-domain-analysis", "kernel_id": "5235123"}, {"ref": "jagannathrk/lanl-earthquake-prediction-xgb", "kernel_id": "6836920"}, {"ref": "lovedm/basic-feature-benchmark-20191124", "kernel_id": "6743326"}, {"ref": "wakamezake/lanl-earthquake-prediction-lb-probing", "kernel_id": "6933806"}, {"ref": "agastya124/seismic-data-eda", "kernel_id": "6219830"}, {"ref": "hostil/lanl-2019-feature-generation-basicr-vs-data-table", "kernel_id": "6251655"}, {"ref": "morenovanton/kernel36bdc80f3d", "kernel_id": "6704084"}, {"ref": "gmtw25/limpieza-lanl", "kernel_id": "7837960"}, {"ref": "slashie/lanl-review", "kernel_id": "7893633"}, {"ref": "slashie/lanl-udf", "kernel_id": "7953503"}, {"ref": "hostil/lanl-2019-features-keras-lightgbm", "kernel_id": "7596156"}, {"ref": "hanjoonchoe/wavenet-lstm-pytorch-ignite-ver", "kernel_id": "7724055"}, {"ref": "joelpires/earthquake-prediction", "kernel_id": "7193188"}, {"ref": "fredmarlton/lanl-earthquake", "kernel_id": "7048858"}, {"ref": "talhazaidi1313/lanl-earthquake-eda-and-prediction", "kernel_id": "7325671"}, {"ref": "suraj4singh/gradient-boosting-with-statistical-features", "kernel_id": "8305466"}, {"ref": "darwinwin/lanl-earthquake-with-h2o-automl", "kernel_id": "8099102"}, {"ref": "darwinwin/lanl-master-s-features-h2o-automl", "kernel_id": "8099176"}, {"ref": "gamzef/kernele23a4f96ae", "kernel_id": "10820959"}, {"ref": "chandrimad31/time-series-feature-engineering-lanl-eq-data", "kernel_id": "12732870"}, {"ref": "deniskazakov/1-geomean-nn-and-6featlgbm", "kernel_id": "12460042"}, {"ref": "anudevskumar/notebookc183335c9a", "kernel_id": "13384435"}, {"ref": "abhishektyagi001/lanl-earthquake-prediction", "kernel_id": "15427680"}, {"ref": "abhishektyagi001/lanl-earthquake-data-analysis", "kernel_id": "15431288"}, {"ref": "firozk/rnn-earthquake-prediction", "kernel_id": "15638908"}, {"ref": "tustunkok/an-introductory-notebook-for-ml", "kernel_id": "16146707"}, {"ref": "hotuanlong/lanl-earthquake-prediction", "kernel_id": "16917766"}, {"ref": "thangd/lanl-earthquake-prediction-baggingsvr", "kernel_id": "16553824"}, {"ref": "gizemkeskin/catboost-ile-deprem-tahmini", "kernel_id": "16971826"}, {"ref": "afsanehm/lanl-earthquake-prediction", "kernel_id": "16111730"}, {"ref": "at3191/restaurant-revenue-prediction-trial-1", "kernel_id": "21332080"}, {"ref": "nqvinh00/lanl-earthquake-prediction", "kernel_id": "22649531"}, {"ref": "ngodang/int3405e-20-m-t-eda", "kernel_id": "22888524"}, {"ref": "ngodang/int3405e-20-lanl-feature-importance", "kernel_id": "23361891"}, {"ref": "ngodang/int3405e-20-lanl-feature-engineering-v-l-u", "kernel_id": "23406349"}, {"ref": "ngodang/int3405e-20-lanl-th-c-nghi-m-c-n-b-ng-d-li-u", "kernel_id": "23714903"}, {"ref": "ngodang/int3405e-20-lanl-th-c-nghi-m-v-k-t-qu", "kernel_id": "23697452"}, {"ref": "conhphung/notebook117b24fd0b", "kernel_id": "23634661"}, {"ref": "conhphung/fork-of-notebook117b24fd0b", "kernel_id": "23730940"}, {"ref": "ahemateja19bec1025/data-visualisation-earthquake-prediction-19bec1025", "kernel_id": "26028683"}, {"ref": "ahemateja19bec1025/data-visualization-earthquake-review3-19bec1025", "kernel_id": "26640191"}, {"ref": "michledoliget/projet-idl-nem", "kernel_id": "26235252"}, {"ref": "matthieudagommer/earthquake-prediction-cnn1d", "kernel_id": "27485356"}, {"ref": "matthieudagommer/earthquake-prediction-lstm", "kernel_id": "27487169"}, {"ref": "riccardoforzan/catboost-basic-features", "kernel_id": "27084450"}, {"ref": "gitanjali1425/synthetic-earthquake-prediction", "kernel_id": "31461281"}, {"ref": "moonseungjae/1-private-lb-kernel-lanl-lgbm-moon-basic-fft", "kernel_id": "32557497"}, {"ref": "imbeen/plz-last", "kernel_id": "33177465"}, {"ref": "moonseungjae/shaking-earth-moon", "kernel_id": "33060122"}, {"ref": "moonseungjae/moon-seismic-data-eda-and-baseline", "kernel_id": "33079153"}, {"ref": "dkachhawa/gru-and-bilstm", "kernel_id": "35873306"}, {"ref": "dkachhawa/lanl-cb-lb-masters-experiments", "kernel_id": "35709549"}, {"ref": "dkachhawa/basic-feature-benchmark", "kernel_id": "35686306"}, {"ref": "hammadch/lanl-earthquake-using-lstm", "kernel_id": "36447773"}, {"ref": "rishikeshrajnair/future-earthquake-prediction-with-ttf-using-dnn-ql", "kernel_id": "36784144"}, {"ref": "julyhappy/fork-of-earthquake2-2578", "kernel_id": "36706455"}, {"ref": "jessteijn/ml23-week8", "kernel_id": "36877458"}, {"ref": "carmenxiuwenchen/carmjoe-earthquake-prediction", "kernel_id": "36883762"}, {"ref": "joshuairmf/shaking-earth", "kernel_id": "36891823"}, {"ref": "tjgeschiere/earthquake-prediction", "kernel_id": "36969161"}, {"ref": "joostjaspers/notebookb79aaef0bd", "kernel_id": "36926659"}, {"ref": "dennislandman99/ee2ml1-earthquake-prediction", "kernel_id": "36928774"}, {"ref": "ianvaningen/notebookbe0e47ad49", "kernel_id": "36981001"}, {"ref": "alecdaalman/ee2ml1-lanl-alecdaalman", "kernel_id": "36982764"}, {"ref": "ayushksingh28/lanl-earthquake-prediction", "kernel_id": "37122079"}, {"ref": "jackchenxj/earthquake-prediction", "kernel_id": "37005236"}, {"ref": "nouradeklerk/noura-hannah-earthquake", "kernel_id": "37706391"}, {"ref": "danilpaul/daniel-paul-week8", "kernel_id": "37154815"}, {"ref": "robbertbithray/ee2ml1-group44-2023", "kernel_id": "37155215"}, {"ref": "fynnvanderwal/davi-beltrao-fynn-vanderwal-week8-v2", "kernel_id": "37578548"}, {"ref": "coenbuitink/week8-project-ml23", "kernel_id": "37581687"}, {"ref": "jasonlee2432/mines-kaggle-project", "kernel_id": "40829540"}, {"ref": "gpreda/lanl-earthquake-data-exploration-and-baseline", "kernel_id": "41591654"}, {"ref": "sdledbetter/mines-kaggle-project", "kernel_id": "41248157"}, {"ref": "jordanbell2357/using-tsfresh-time-series-feature-engineering", "kernel_id": "43813991"}, {"ref": "sebastiangcn/teoinfo-project", "kernel_id": "46380235"}, {"ref": "marcogorelli/semi-anti-join-in-polars", "kernel_id": "47877698"}, {"ref": "omarallam22/baseline-with-multiple-models-41b472", "kernel_id": "48029993"}, {"ref": "congyuezhang/notebook261cc891c4", "kernel_id": "50802641"}, {"ref": "jessekoert/week8-ml23-jessekoert", "kernel_id": "53871743"}, {"ref": "feix2lin/ee2ml1-final-project", "kernel_id": "53898148"}, {"ref": "eojinlim/ee2ml1-final-project", "kernel_id": "54632570"}, {"ref": "seppedijkstra/machine-learning-week-8", "kernel_id": "54266701"}, {"ref": "sabitakalila/final-project-ee2ml1-sabita-gordon", "kernel_id": "54271044"}, {"ref": "ardgeuze/week8-project-ml23", "kernel_id": "54379232"}, {"ref": "olivierkd/week8-project-ml23", "kernel_id": "54402053"}, {"ref": "teunmertens/bram-teun-week8-project-ml23", "kernel_id": "55068903"}, {"ref": "tychobrouwer/ml-weekk8", "kernel_id": "55222361"}, {"ref": "vinitkp/squeeze-excitationnetwork-cnn", "kernel_id": "57211303"}, {"ref": "ankitvarshney02/lanl-earthquake-prediction-signal-denoising", "kernel_id": "64525166"}, {"ref": "bigsmallmediumpotato/seismic-event-countdown-prediction", "kernel_id": "70968722"}, {"ref": "theromantic/lab2-shmelev", "kernel_id": "71840550"}, {"ref": "satyajeetrai/ps5e4-analysis-and-modelbuilding", "kernel_id": "81003481"}, {"ref": "evanoleary/alexandria-competition-lanl-earthquake-pr-246431", "kernel_id": "100572229"}, {"ref": "nocarbonintelligence/earthquake-prediction", "kernel_id": "103287865"}, {"ref": "bketanraju/notebookae46da6302", "kernel_id": "105491728"}, {"ref": "kiriyabuta/notebookcdd38ac9c4", "kernel_id": "106921014"}, {"ref": "yamatomurata/notebook4-62418698", "kernel_id": "106849858"}, {"ref": "coderiderai/lanl-logic-based-lb-1-72", "kernel_id": "109049420"}, {"ref": "serdaronal/lanl-earthquake-prediction", "kernel_id": "118981733"}, {"ref": "yujiyyy/lanl-earthquake-signal-eda", "kernel_id": "122599336"}, {"ref": "pypiahmad/lanl-earthquake-prediction-leakage-aware-ensemble", "kernel_id": "122730769"}, {"ref": "pypiahmad/lanl-earthquake-submission-baseline", "kernel_id": "122736745"}, {"ref": "akramabdulkhakimov/seismic-tsunami-data-anomaly-detection", "kernel_id": "132038232"}]}
{"competition_id": "11029", "kernels": []}
{"competition_id": "11036", "kernels": [{"ref": "phoenix120/pymorphy2-baseline", "kernel_id": "1776329"}, {"ref": "phoenix120/random-forest-benchmark", "kernel_id": "1776368"}]}
{"competition_id": "11053", "kernels": []}
{"competition_id": "11055", "kernels": []}
{"competition_id": "11056", "kernels": []}
{"competition_id": "11058", "kernels": []}
{"competition_id": "11059", "kernels": []}
{"competition_id": "11064", "kernels": []}
{"competition_id": "11068", "kernels": []}
{"competition_id": "11070", "kernels": []}
{"competition_id": "11073", "kernels": []}
{"competition_id": "11074", "kernels": []}
{"competition_id": "11079", "kernels": []}
{"competition_id": "11081", "kernels": []}
{"competition_id": "11083", "kernels": []}
{"competition_id": "11094", "kernels": [{"ref": "bgreenwell/default-random-forest", "kernel_id": "1979664"}]}
{"competition_id": "11098", "kernels": []}
{"competition_id": "11102", "kernels": []}
{"competition_id": "11109", "kernels": []}
{"competition_id": "11116", "kernels": []}
{"competition_id": "11121", "kernels": []}
{"competition_id": "11132", "kernels": []}
{"competition_id": "11139", "kernels": [{"ref": "thenush07/synthessence-2k18", "kernel_id": "1867130"}, {"ref": "notabot000/attention-gru-with-sentiment-embeddings", "kernel_id": "1871595"}]}
{"competition_id": "11156", "kernels": []}
{"competition_id": "11161", "kernels": []}
{"competition_id": "11167", "kernels": [{"ref": "swamysriharsha/employee-promotion-with-one-hot-encoding", "kernel_id": "1867398"}, {"ref": "faridrizqis/data-analytics-challenge-prodigy-18", "kernel_id": "22637600"}]}
{"competition_id": "11174", "kernels": []}
{"competition_id": "11176", "kernels": [{"ref": "olegzholobov/zholobov", "kernel_id": "84277973"}]}
{"competition_id": "11185", "kernels": []}
{"competition_id": "11189", "kernels": []}
{"competition_id": "11190", "kernels": []}
{"competition_id": "11201", "kernels": []}
{"competition_id": "11223", "kernels": []}
{"competition_id": "11224", "kernels": []}
{"competition_id": "11225", "kernels": []}
{"competition_id": "11239", "kernels": [{"ref": "pausempere/eda-kaggle-competition-sql-saturday", "kernel_id": "1928565"}, {"ref": "pausempere/preprocess-and-feat-engineering", "kernel_id": "1928609"}, {"ref": "pmargom/first-prediction", "kernel_id": "1913149"}, {"ref": "crisfj/sqlsaturday2018", "kernel_id": "1913188"}]}
{"competition_id": "11243", "kernels": []}
{"competition_id": "11244", "kernels": []}
{"competition_id": "11260", "kernels": []}
{"competition_id": "11261", "kernels": []}
{"competition_id": "11264", "kernels": []}
{"competition_id": "11286", "kernels": []}
{"competition_id": "11290", "kernels": [{"ref": "qwetyui/pandas-and-catboost-baseline-0-794", "kernel_id": "1910354"}, {"ref": "qwetyui/baseline-for-hse-lyceum-titanic-0-804", "kernel_id": "1909851"}, {"ref": "mksaad/hse-lyceum-keras-dnn-classifier", "kernel_id": "10698597"}, {"ref": "mksaad/hse-lyceum-titanic", "kernel_id": "10709590"}]}
{"competition_id": "11293", "kernels": []}
{"competition_id": "11295", "kernels": []}
{"competition_id": "11297", "kernels": []}
{"competition_id": "11311", "kernels": []}
{"competition_id": "11317", "kernels": []}
{"competition_id": "11321", "kernels": []}
{"competition_id": "11325", "kernels": []}
{"competition_id": "11332", "kernels": []}
{"competition_id": "11346", "kernels": []}
{"competition_id": "11354", "kernels": []}
{"competition_id": "11355", "kernels": []}
{"competition_id": "11356", "kernels": []}
{"competition_id": "11369", "kernels": []}
{"competition_id": "11372", "kernels": []}
{"competition_id": "11374", "kernels": [{"ref": "sreeram1234/ensemble-cnn-with-augmentation", "kernel_id": "2091774"}, {"ref": "mksaad/nicht-mnist-cnn-d00a2e", "kernel_id": "10862101"}, {"ref": "mksaad/nicht-mnist-keras", "kernel_id": "10709703"}, {"ref": "mksaad/nicht-mnist-cnn", "kernel_id": "10718445"}, {"ref": "israakhalil/nicht-mnist-cnn-classification", "kernel_id": "10865686"}, {"ref": "hadiasami/nicht-mnist-with-keras", "kernel_id": "10844492"}, {"ref": "ahmedalghaliz/nicht-mnist-cnn", "kernel_id": "10825790"}, {"ref": "aseelalshorafa/nichtmnistcompetetioncnn-ipynb", "kernel_id": "10841009"}, {"ref": "fatimaafifi/nicht-mnist", "kernel_id": "10867907"}, {"ref": "nihalhaboush/nich-minist", "kernel_id": "10878756"}, {"ref": "nihalhaboush/nicht-mnist", "kernel_id": "10855117"}, {"ref": "doaajaber/nicht-mnist", "kernel_id": "10802026"}, {"ref": "doaajaber/ensemble-cnn-with-augmentation", "kernel_id": "10803169"}, {"ref": "doaajaber/kernel7fa9b0ad3c", "kernel_id": "10830818"}, {"ref": "fayrouzfarra/nitch-mnist-cnn", "kernel_id": "10879294"}, {"ref": "nahedalsharif/nicht-mnist", "kernel_id": "10896522"}, {"ref": "nahedalsharif/nitch-mnist-cnn", "kernel_id": "10893054"}, {"ref": "razanabudagen/mnist-classification", "kernel_id": "10822269"}, {"ref": "asiaahmedabushawish/nicht-mnist", "kernel_id": "10877510"}, {"ref": "abdalazez/nicht-mnist-cnn-keras", "kernel_id": "10839542"}, {"ref": "mahmoudalhallaq/nicht-mnist-mahmoud", "kernel_id": "10908621"}, {"ref": "islammohaisen/nicht-mnist-cnn", "kernel_id": "10831864"}, {"ref": "raghadjaber/mnist-images-classification-with-keras", "kernel_id": "10922067"}, {"ref": "ahmedmurad1990/nicht-mnist", "kernel_id": "10864106"}, {"ref": "engnadersarsour/nicht-mnist-competition", "kernel_id": "10887941"}, {"ref": "engnadersarsour/cnn-to-fashion-mnist", "kernel_id": "10902315"}, {"ref": "maimahdi/nichtminstcnndata", "kernel_id": "10852642"}, {"ref": "maimahdi/cnn-nichtmnist", "kernel_id": "10881708"}, {"ref": "fathialasali/nicht-mnist-comp", "kernel_id": "11132568"}, {"ref": "kareemaburejila/nicht-mnist-competition-with-cnn", "kernel_id": "11181304"}, {"ref": "raghadjaber/nicht-mnist-cnn", "kernel_id": "11199185"}, {"ref": "mohammedkuheil/nicht-mnist-cnn", "kernel_id": "11355613"}, {"ref": "kemalfarukbaaran/nicht-mnist", "kernel_id": "29847055"}]}
{"competition_id": "11376", "kernels": []}
{"competition_id": "11379", "kernels": []}
{"competition_id": "11383", "kernels": []}
{"competition_id": "11384", "kernels": []}
{"competition_id": "11392", "kernels": []}
{"competition_id": "11401", "kernels": []}
{"competition_id": "11405", "kernels": [{"ref": "artgor/malicious-intent-detection-eda-and-models", "kernel_id": "2120952"}, {"ref": "unplayered/cs-assignment-question-4", "kernel_id": "11728323"}]}
{"competition_id": "11422", "kernels": [{"ref": "qwetyui/baseline", "kernel_id": "1948522"}]}
{"competition_id": "11433", "kernels": []}
{"competition_id": "11435", "kernels": []}
{"competition_id": "11438", "kernels": []}
{"competition_id": "11451", "kernels": []}
{"competition_id": "11454", "kernels": [{"ref": "singh001avinash/restaurants-order-prediction-model-predection", "kernel_id": "1956974"}]}
{"competition_id": "11463", "kernels": []}
{"competition_id": "11466", "kernels": []}
{"competition_id": "11468", "kernels": []}
{"competition_id": "11469", "kernels": []}
{"competition_id": "11473", "kernels": [{"ref": "matefh/first-attempt", "kernel_id": "2092339"}, {"ref": "matefh/dbscan", "kernel_id": "2092451"}, {"ref": "emctwoo/feature-eda", "kernel_id": "2093620"}]}
{"competition_id": "11475", "kernels": []}
{"competition_id": "11478", "kernels": []}
{"competition_id": "11487", "kernels": []}
{"competition_id": "11493", "kernels": []}
{"competition_id": "11494", "kernels": []}
{"competition_id": "11498", "kernels": []}
{"competition_id": "11501", "kernels": []}
{"competition_id": "11510", "kernels": []}
{"competition_id": "11521", "kernels": []}
{"competition_id": "11532", "kernels": []}
{"competition_id": "11533", "kernels": []}
{"competition_id": "11541", "kernels": []}
{"competition_id": "11542", "kernels": []}
{"competition_id": "11547", "kernels": []}
{"competition_id": "11553", "kernels": []}
{"competition_id": "11554", "kernels": []}
{"competition_id": "11556", "kernels": []}
{"competition_id": "11562", "kernels": []}
{"competition_id": "11570", "kernels": []}
{"competition_id": "11574", "kernels": []}
{"competition_id": "11585", "kernels": []}
{"competition_id": "11587", "kernels": []}
{"competition_id": "11588", "kernels": [{"ref": "kmader/texture-analysis-submission-overview", "kernel_id": "2108474"}, {"ref": "kmader/texture-analysis-model-overview", "kernel_id": "2095777"}, {"ref": "kmader/applying-simple-model-to-the-real-competition", "kernel_id": "2099735"}, {"ref": "kmader/classifying-opacity-tiles-using-conx", "kernel_id": "2220256"}, {"ref": "kmader/classifying-opacity-tiles-using-conx-gpu", "kernel_id": "2226576"}, {"ref": "kmader/from-refresher-course-to-a-real-competition", "kernel_id": "2205708"}]}
{"competition_id": "11601", "kernels": []}
{"competition_id": "11614", "kernels": [{"ref": "asheeshvish/bike-sharing-demand-prediction", "kernel_id": "2212888"}]}
{"competition_id": "11625", "kernels": [{"ref": "vasusharma7/pwaic-knn", "kernel_id": "4544121"}]}
{"competition_id": "11636", "kernels": []}
{"competition_id": "11643", "kernels": []}
{"competition_id": "11649", "kernels": []}
{"competition_id": "11673", "kernels": []}
{"competition_id": "11674", "kernels": [{"ref": "pavancs/explore-models", "kernel_id": "2083344"}, {"ref": "satyakaggle/report", "kernel_id": "2080513"}, {"ref": "ashishddsouza/top-3-efficient-boosting-model-for-tech-weekend", "kernel_id": "12874463"}]}
{"competition_id": "11679", "kernels": []}
{"competition_id": "11680", "kernels": []}
{"competition_id": "11681", "kernels": []}
{"competition_id": "11684", "kernels": []}
{"competition_id": "11708", "kernels": []}
{"competition_id": "11712", "kernels": []}
{"competition_id": "11714", "kernels": []}
{"competition_id": "11727", "kernels": [{"ref": "zhangjq/data-distribution-on-publiclb-privatelb", "kernel_id": "2400474"}, {"ref": "bbqlp33/bert-huggingface-pytorch-pretrained-bert", "kernel_id": "2877779"}, {"ref": "bbqlp33/basic-siamese-network-lstm", "kernel_id": "2466547"}, {"ref": "mohamedhanyyy/fake-news-classification-using-lstm-nlp", "kernel_id": "26337617"}, {"ref": "elvisyananlin/identify-fake-news-with-bert", "kernel_id": "50067765"}, {"ref": "pmirandaho/fnc-with-lstm", "kernel_id": "57485736"}, {"ref": "ddoreen/fake-news-classfifier", "kernel_id": "59682056"}, {"ref": "jiangshuming/bert-mlp", "kernel_id": "59676989"}]}
{"competition_id": "11738", "kernels": []}
{"competition_id": "11745", "kernels": []}
{"competition_id": "11746", "kernels": []}
{"competition_id": "11748", "kernels": []}
{"competition_id": "11749", "kernels": [{"ref": "kanav0183/how-to-use-kaggle-kernel-starter-code", "kernel_id": "2058516"}]}
{"competition_id": "11750", "kernels": [{"ref": "alphajuliet/xgboost-in-r", "kernel_id": "2132182"}, {"ref": "alphajuliet/exploratory-data-analysis-in-r", "kernel_id": "2056620"}, {"ref": "geoffpidcock/data-prep-pipeline-construction", "kernel_id": "2115398"}, {"ref": "geoffpidcock/tpot-model-prediction", "kernel_id": "2130210"}, {"ref": "geoffpidcock/example-submission", "kernel_id": "2057027"}, {"ref": "geoffpidcock/charity-data-exploratory-data-analysis", "kernel_id": "2056485"}]}
{"competition_id": "11754", "kernels": []}
{"competition_id": "11770", "kernels": []}
{"competition_id": "11774", "kernels": []}
{"competition_id": "11782", "kernels": []}
{"competition_id": "11785", "kernels": []}
{"competition_id": "11786", "kernels": []}
{"competition_id": "11787", "kernels": []}
{"competition_id": "11788", "kernels": []}
{"competition_id": "11789", "kernels": []}
{"competition_id": "11790", "kernels": []}
{"competition_id": "11792", "kernels": []}
{"competition_id": "11794", "kernels": []}
{"competition_id": "11802", "kernels": [{"ref": "saurabh1411/mnist-fashion-dataset", "kernel_id": "9460538"}]}
{"competition_id": "11803", "kernels": [{"ref": "shaygeller/assignment-2-ml-course-lior-rokach", "kernel_id": "2512030"}, {"ref": "laadan/ml101-f68c43-527082", "kernel_id": "2373170"}, {"ref": "itayro/kerneltpot", "kernel_id": "2472447"}, {"ref": "orsymonitz/kagglescript-9b31cd", "kernel_id": "2493696"}, {"ref": "omerh18/firstscript", "kernel_id": "2414668"}, {"ref": "yaelhoc/yael-drorr", "kernel_id": "2525327"}, {"ref": "akontoro/kernel8dfed0bb00", "kernel_id": "2524009"}]}
{"competition_id": "11806", "kernels": []}
{"competition_id": "11835", "kernels": [{"ref": "danofer/getting-started-baseline", "kernel_id": "2435381"}, {"ref": "ashishpatel26/smote-with-model-lightgbm", "kernel_id": "2476637"}, {"ref": "ashishpatel26/ensemble-learning-for-beginner-to-advance", "kernel_id": "2484600"}, {"ref": "plarmuseau/aviation-cnn-trick", "kernel_id": "2730376"}, {"ref": "plarmuseau/aviation-second-tempt", "kernel_id": "2477458"}, {"ref": "plarmuseau/fork-of-aviation-second-tempt", "kernel_id": "2480404"}, {"ref": "plarmuseau/aviation-intro", "kernel_id": "2466464"}, {"ref": "teemingyi/plots-of-experiments", "kernel_id": "2475847"}, {"ref": "vbookshelf/baseline-best-constant-to-predict-for-logloss", "kernel_id": "2446347"}, {"ref": "docxian/first-look-preparation-save-as-rdata", "kernel_id": "2432184"}, {"ref": "yfyangd/lightgbm-with-pca", "kernel_id": "2758580"}, {"ref": "samridhi2345/testa", "kernel_id": "2511154"}, {"ref": "sarmat/imbalance-learning-examples", "kernel_id": "2649128"}, {"ref": "sarmat/sklearn-lgbm-ensemble-baseline", "kernel_id": "2589415"}, {"ref": "econdata/allenaviationslgbm0-37", "kernel_id": "2922094"}, {"ref": "econdata/reducing-commercial-aviation-fatalities", "kernel_id": "2761735"}, {"ref": "mahmoud86/eda-rdf-boosting-kn", "kernel_id": "2662385"}, {"ref": "opoliakova/data-analysis-and-manipulation-sklearn-modeling", "kernel_id": "2862652"}, {"ref": "alexquach/aviation-pso", "kernel_id": "2743282"}, {"ref": "jaytalati87/ensemble-techniques", "kernel_id": "2781453"}, {"ref": "theryan/competition-kernel-for-rcaf", "kernel_id": "2569053"}, {"ref": "theoviel/starter-code-eda-and-lgbm-baseline", "kernel_id": "2434730"}, {"ref": "jayesh4520/reducingcommercialaviation-privatescore-0-51351", "kernel_id": "2565000"}, {"ref": "mukesh62/ensemble-techniques", "kernel_id": "2781460"}, {"ref": "kamalchhirang/forgot-to-shuffle-the-data-while-splitting-boom", "kernel_id": "2833053"}, {"ref": "shmilyms/simonstrong-analysis-summary-12th", "kernel_id": "2999355"}, {"ref": "brunoguilhermeg/eda-and-simple-unsupervised-analysis-1", "kernel_id": "2850216"}, {"ref": "adamdc/classifiers-competition-for-unbalanced-data", "kernel_id": "2568374"}, {"ref": "mrbruce/aviation-fatalities-data-insight", "kernel_id": "2503026"}, {"ref": "stuartbman/introduction-to-physiological-data", "kernel_id": "2668171"}, {"ref": "validated/aviation-randomforest-feature-engg", "kernel_id": "2801331"}, {"ref": "validated/analysis-of-interactions", "kernel_id": "2750245"}, {"ref": "validated/a-simple-prediction", "kernel_id": "2744329"}, {"ref": "stevennicolaou/extra-trees", "kernel_id": "3180910"}, {"ref": "jinudaniel/reducing-fatalities-nn-approach-with-pytorch", "kernel_id": "3122558"}, {"ref": "guillaumelabs/reducing-commercial-aviation-fatalities", "kernel_id": "3409934"}, {"ref": "guillaumelabs/kernela69fbacf54", "kernel_id": "3544999"}, {"ref": "aditya100/reducing-commercial-aviation-fatalities", "kernel_id": "3164853"}, {"ref": "shahaffind/reducing-commercial-aviation-fatalities-11th", "kernel_id": "3038647"}, {"ref": "maliabbas/inthiskernal", "kernel_id": "4485840"}, {"ref": "ujwalv/kernel-aviation", "kernel_id": "5151447"}, {"ref": "ujjal02/project", "kernel_id": "5261096"}, {"ref": "avk256/aviation-fatalities-4models", "kernel_id": "6534989"}, {"ref": "saeedtqp/reducing-commercial-aviation-fatalities", "kernel_id": "7487662"}, {"ref": "ujjal02/reducing-commercial-aviation-fatalities", "kernel_id": "7206212"}, {"ref": "jeffdougherty/data-analysis-and-manipulation-sklearn-modeling", "kernel_id": "7035508"}, {"ref": "whitebeard71/manas-aggrawal-final", "kernel_id": "8920009"}, {"ref": "robbiebeane/commercial-aviation-v01", "kernel_id": "8849710"}, {"ref": "paulorenatocastro/commercial-aviation-proj-01", "kernel_id": "8960817"}, {"ref": "sleepybatman42/commercial-aviation", "kernel_id": "9037335"}, {"ref": "hanhdao123/reducing-aviation-fatalities", "kernel_id": "9330956"}, {"ref": "thanhhungnguyen/reducing-aviation-fatalities-ver-1", "kernel_id": "9014324"}, {"ref": "drbeane/commercial-aviation-v02", "kernel_id": "15050927"}, {"ref": "skk2106/reducing-aircraft-fatalities-risk", "kernel_id": "16080771"}, {"ref": "mallorycw/mcw-aviation-modeling-process", "kernel_id": "24715474"}, {"ref": "mallorycw/eda-reducing-commercial-aviation-fatalities", "kernel_id": "24576064"}, {"ref": "marekninja/lstm-pytorch", "kernel_id": "25906851"}, {"ref": "mallorycw/mcw-decision-tree-model-reducing-aviation", "kernel_id": "25838785"}, {"ref": "mallorycw/mcw-aviation-dt-model-w-optuna", "kernel_id": "25839241"}, {"ref": "mallorycw/mcw-aviation-rf-model", "kernel_id": "25911137"}, {"ref": "mallorycw/mcw-aviation-lightgbm", "kernel_id": "25911269"}, {"ref": "mallorycw/mcw-aviation-submission-3-9-22", "kernel_id": "25240101"}, {"ref": "mallorycw/mcw-aviation-feature-engineering", "kernel_id": "26033319"}, {"ref": "mallorycw/mcw-rf-submission-w-optuna", "kernel_id": "26033891"}, {"ref": "mallorycw/mcw-rf-submission", "kernel_id": "26032845"}, {"ref": "mallorycw/mcw-dt-submission-w-optuna", "kernel_id": "26033097"}, {"ref": "mallorycw/mcw-lgbm-submission-w-optuna", "kernel_id": "26033107"}, {"ref": "mallorycw/mcw-extra-random-trees-aviation", "kernel_id": "26088156"}, {"ref": "mallorycw/mcw-extra-random-trees-submission", "kernel_id": "26090326"}, {"ref": "mallorycw/mcw-rf-submission-version2-w-optuna", "kernel_id": "26080093"}, {"ref": "mallorycw/mcw-1-ert-submission-w-feature-engineering", "kernel_id": "26269278"}, {"ref": "mallorycw/mcw-ert-w-features-montage-1-and-3", "kernel_id": "26269473"}, {"ref": "mallorycw/mcw-extra-random-trees-w-feature-engineering", "kernel_id": "26265734"}, {"ref": "mallorycw/mcw-rf-submission-version3-w-optuna", "kernel_id": "26194887"}, {"ref": "mallorycw/mcw-aviation-rf-optuna-w-feature-engineering", "kernel_id": "26210753"}, {"ref": "mallorycw/mcw-rf-submission-w-feature-engineering", "kernel_id": "26210719"}, {"ref": "mallorycw/mcw-aviation-rf-model-w-feature-engineering", "kernel_id": "26217709"}, {"ref": "mallorycw/mcw-submission-ert-w-features-montage-1-and-3", "kernel_id": "26369035"}, {"ref": "mallorycw/mcw-data-visualization-aviation", "kernel_id": "26435378"}, {"ref": "mallorycw/mcw-2-submission-ert-w-features-montage-1", "kernel_id": "26401578"}, {"ref": "mallorycw/portfolio-reducing-commercial-aviation-fatalities", "kernel_id": "26589852"}, {"ref": "mallorycw/best-model-accuracy", "kernel_id": "26771962"}, {"ref": "mallorycw/best-model-accuracy-2", "kernel_id": "26792370"}, {"ref": "zarghamziauddin/zz-commercial-airline-fatalities-baseline-model", "kernel_id": "69962285"}, {"ref": "brandonyu1/by-randomforest-baseline", "kernel_id": "70221590"}, {"ref": "jasonhull/jrh-aviation-v01", "kernel_id": "70183613"}, {"ref": "jasonhull/jrh-aviation-svm-v2-submission", "kernel_id": "70219114"}, {"ref": "jasonhull/jrh-aviation-svm-v2", "kernel_id": "70217137"}, {"ref": "jasonhull/jrh-aviation-svm-v01", "kernel_id": "70198506"}, {"ref": "jasonhull/zzxjrh-comm-airline-fatalities-baseline-v2", "kernel_id": "70303580"}, {"ref": "jasonhull/zzxjrh-aviation-lr-v2-submission", "kernel_id": "70353930"}, {"ref": "jasonhull/aviation-pytorch-v3", "kernel_id": "70753640"}, {"ref": "jasonhull/jrh-aviation-pytorch-v2-submission", "kernel_id": "70752438"}, {"ref": "jasonhull/aviation-pytorch-v2", "kernel_id": "70751263"}, {"ref": "jasonhull/jrh-aviation-pytorch-v1-submission", "kernel_id": "70737062"}, {"ref": "jasonhull/jrh-aviation-pytorch-v1", "kernel_id": "70636687"}, {"ref": "jasonhull/jrh-aviation-pytorch-v4-1", "kernel_id": "70912981"}, {"ref": "jasonhull/jrh-aviation-pytorch-v4-2-submission", "kernel_id": "70921631"}, {"ref": "jasonhull/jrh-aviation-pytorch-v4-2", "kernel_id": "70917295"}, {"ref": "jasonhull/jrh-forked-introduction-to-physiological-data", "kernel_id": "70967438"}, {"ref": "jasonhull/jrh-aviation-pytorch-v4-3", "kernel_id": "70962733"}, {"ref": "jasonhull/aviation-pytorch-v4", "kernel_id": "70828620"}, {"ref": "jasonhull/jrh-aviation-pytorch-v3-5", "kernel_id": "70850055"}, {"ref": "zarghamziauddin/zz-airline-fatalities-baseline-model-submission", "kernel_id": "71107314"}, {"ref": "zarghamziauddin/zz-airline-fatalities-neural-network", "kernel_id": "71942954"}, {"ref": "jasonhull/jrh-aviation-pytorch-v5-1", "kernel_id": "71552396"}, {"ref": "jasonhull/jrh-aviation-pytorch-v5-0", "kernel_id": "71432812"}, {"ref": "jasonhull/jrh-aviation-pytorch-v5-1-submission", "kernel_id": "71851787"}, {"ref": "jasonhull/jrh-aviation-v02", "kernel_id": "71995164"}, {"ref": "zyh1104/045-reducing-commercial-aviation-fatalities", "kernel_id": "71876716"}, {"ref": "brandonyu1/by-aviation-xgboost-v1", "kernel_id": "72074079"}, {"ref": "brandonyu1/by-aviation-xgboost-submission", "kernel_id": "72533219"}, {"ref": "jasonhull/jrh-aviation-training-prep-v6-1a", "kernel_id": "72407267"}, {"ref": "jasonhull/jrh-aviation-pytorch-v8-0-submission", "kernel_id": "72511804"}, {"ref": "jasonhull/jrh-aviation-training-prep-v7-0", "kernel_id": "72457387"}, {"ref": "jasonhull/jrh-aviation-test-prep-v7-0", "kernel_id": "72458212"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v7-0", "kernel_id": "72461660"}, {"ref": "jasonhull/jrh-aviation-training-prep-with-pca-v6-3", "kernel_id": "72452978"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v7-1", "kernel_id": "72523351"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v7-2", "kernel_id": "72525965"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v7-3", "kernel_id": "72588274"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v7-4", "kernel_id": "72627049"}, {"ref": "jasonhull/jrh-aviation-v03", "kernel_id": "72038421"}, {"ref": "jasonhull/byxjrhxzz-aviation-final-notebook", "kernel_id": "72732930"}, {"ref": "jasonhull/jrh-aviation-data-balancing-v8-0", "kernel_id": "72732043"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v8-0", "kernel_id": "72731256"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v7-5a", "kernel_id": "72661768"}, {"ref": "jasonhull/byxjrhxzz-aviation-pytorch-rnn-v7-6", "kernel_id": "72659094"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v7-5", "kernel_id": "72637227"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v8-1", "kernel_id": "72932524"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v8-2", "kernel_id": "72938871"}, {"ref": "jasonhull/jrh-aviation-pytorch-rnn-v8-3", "kernel_id": "72951006"}, {"ref": "jasonhull/jrh-aviation-pytorch-v8-3-submission", "kernel_id": "72988861"}, {"ref": "jasonhull/jrh-aviation-pytorch-v8-2-submission", "kernel_id": "72982243"}, {"ref": "brandonyu1/by-aviation-random-forest", "kernel_id": "73005924"}, {"ref": "derickndzi/dn-aviation-pytorch-v8-2-submission", "kernel_id": "88032403"}]}
{"competition_id": "11836", "kernels": [{"ref": "sermakarevich/download-resize-clean-12-hours-44gb", "kernel_id": "3875004"}, {"ref": "mayukh18/dataset-exploration-and-simple-on-the-fly-training", "kernel_id": "3574941"}, {"ref": "paulorzp/train-set-landmark-exploratory-analysis", "kernel_id": "3693107"}, {"ref": "yaxi1031/merge-500-downloaded-train-folders-into-one-folder", "kernel_id": "3542035"}, {"ref": "aloisiodn/training-dowload-plus-tar-command", "kernel_id": "3551175"}, {"ref": "aloisiodn/kernelfb7cfb840b", "kernel_id": "3564021"}, {"ref": "aloisiodn/test-set-download-script-with-bad-url-tracking", "kernel_id": "3564033"}, {"ref": "archaeocharlie/dl-and-untar-training-data-with-progress-bars", "kernel_id": "3570853"}, {"ref": "anhnamxtanh/download-resize-dataset-by-google-colab", "kernel_id": "3862699"}, {"ref": "pcjimmmy/download-500-tar-training-dataset", "kernel_id": "3538826"}, {"ref": "rsmits/keras-landmark-or-non-landmark-identification", "kernel_id": "3783748"}, {"ref": "anisayari/download-images-dataset-py3-log-progressbar", "kernel_id": "3616285"}, {"ref": "surajdidwania/dataset-download", "kernel_id": "3536076"}, {"ref": "artyomp/resnet50-baseline", "kernel_id": "3886167"}, {"ref": "deepak525/dataset-downloader", "kernel_id": "3529133"}, {"ref": "appian/landmark-async-downloader-with-detailed-progress", "kernel_id": "3531447"}, {"ref": "akashintsev/train-data-landmarks-qty-distribution", "kernel_id": "3829724"}, {"ref": "rparashar/download-the-tar-dataset-directly-on-kaggle-disk", "kernel_id": "3984891"}, {"ref": "arteam/extract-a-tar-file", "kernel_id": "3537743"}, {"ref": "arteam/download-and-extract-500-tar-training-data", "kernel_id": "3547588"}, {"ref": "arteam/download-and-extract-tar-files-train-data-script", "kernel_id": "3549080"}, {"ref": "shyam0905/kernelde1d750196", "kernel_id": "3717513"}, {"ref": "sramana/download-test-images", "kernel_id": "3950280"}, {"ref": "zhengzhangjasonphd/download-train-data", "kernel_id": "3548599"}, {"ref": "immune/sklearn-w-google-landmarks-2019", "kernel_id": "4051300"}, {"ref": "silvercloud7/dataset-exploration-and-simple-on-the-fly-training", "kernel_id": "4573856"}, {"ref": "huangxiaoquan/google-landmarks-v2-exploratory-data-analysis-eda", "kernel_id": "4305845"}, {"ref": "hli2020/resnet50-baseline-julyonline", "kernel_id": "5343222"}, {"ref": "chetankukreja/keras-landmark-or-non-landmark-identification", "kernel_id": "74763721"}]}
{"competition_id": "11838", "kernels": [{"ref": "automatichourglass/create-a-subset-of-training-dataset", "kernel_id": "3560137"}, {"ref": "grapestone5321/exploration-of-the-dataset", "kernel_id": "3679159"}, {"ref": "anisayari/download-images-dataset-python3-log-progressbar", "kernel_id": "3584111"}, {"ref": "sudeeppandey/landmark-retrieval", "kernel_id": "3926782"}, {"ref": "xiuchengwang/python-dataset-download", "kernel_id": "3531156"}, {"ref": "confirm/cleaned-vs-original", "kernel_id": "4488548"}, {"ref": "pankajgiri/resnet-feature-extraction-pytorch", "kernel_id": "4686293"}, {"ref": "huangxiaoquan/google-landmarks-v2-exploratory-data-analysis-eda", "kernel_id": "4305845"}, {"ref": "tinachin/reserve-image-search-with-resnet50", "kernel_id": "26741607"}]}
{"competition_id": "11842", "kernels": []}
{"competition_id": "11848", "kernels": [{"ref": "arrow72/r-keras-baseline-resnet50", "kernel_id": "2139861"}, {"ref": "rsk2327/densenet-imaug", "kernel_id": "2534931"}, {"ref": "rsk2327/densenet-script", "kernel_id": "2520551"}, {"ref": "rsk2327/nasnet-imgaug", "kernel_id": "2635393"}, {"ref": "erikgaasedelen/vhl-starter-code", "kernel_id": "2752707"}, {"ref": "erikgaasedelen/vhl-starter-code-simple", "kernel_id": "2844432"}, {"ref": "mrgraeme/histopathologic-keras-conv-v1", "kernel_id": "2442887"}, {"ref": "CVxTz/cnn-starter-nasnet-mobile-0-9709-lb", "kernel_id": "2126994"}, {"ref": "tunguz/cnn-starter-mobilenet2", "kernel_id": "2146792"}, {"ref": "souravsingh/umap-representation-plot-of-the-dataset", "kernel_id": "2188979"}, {"ref": "ogurtsov/r-keras-baseline-resnet50", "kernel_id": "2134682"}, {"ref": "dmitrypukhov/cnn-with-imagedatagenerator-flow-from-dataframe", "kernel_id": "2430869"}, {"ref": "irrwitz/exploration", "kernel_id": "2207737"}, {"ref": "artgor/simple-eda-and-model-in-pytorch", "kernel_id": "2121242"}, {"ref": "hrmello/base-cnn-classification-from-scratch", "kernel_id": "2127070"}, {"ref": "krishanudb/cancer-detection-deep-learning-model-using-pytorch", "kernel_id": "2211135"}, {"ref": "fadhli/starter-code-keras-resnet50-0-9275-lb", "kernel_id": "2205127"}, {"ref": "vghorakavi/kernel7ead11dde3", "kernel_id": "2146813"}, {"ref": "fmarazzi/baseline-keras-cnn-roc-fast-10min-0-925-lb", "kernel_id": "2141224"}, {"ref": "shree77/learn-image-classification", "kernel_id": "2858921"}, {"ref": "obischenko/nasnetmobile-fully-convolutional-network", "kernel_id": "2643806"}, {"ref": "ashishpatel26/densenet-169-is-best-as-per-research-article", "kernel_id": "2297599"}, {"ref": "ashishpatel26/hc-detection-using-pytorch-resnet-101", "kernel_id": "2287525"}, {"ref": "nikhilpandey360/eda-transferlearning", "kernel_id": "2267961"}, {"ref": "arunkumarramanan/awesome-cv-with-fashion-mnist-classification", "kernel_id": "2299904"}, {"ref": "sparshdutta/can-you-detect-histopathologic-cancer", "kernel_id": "2934339"}, {"ref": "rohitag13/where-does-your-model-look-at", "kernel_id": "2422393"}, {"ref": "ingbiodanielh/cancer-detection-with-fastai-v2", "kernel_id": "2537614"}, {"ref": "gxkok21/resnet50-with-pytorch", "kernel_id": "2152233"}, {"ref": "byrachonok/cancer-detection-show-data", "kernel_id": "2128466"}, {"ref": "kaimingk/tumor-detection-with-keras-cnn", "kernel_id": "2762829"}, {"ref": "vbookshelf/part-2-breast-cancer-analyzer-web-app", "kernel_id": "2271250"}, {"ref": "vbookshelf/cnn-how-to-use-160-000-images-without-crashing", "kernel_id": "2173099"}, {"ref": "pratik2901/densenet-121-fastai", "kernel_id": "2293556"}, {"ref": "dromosys/fastai-v1-densenet201", "kernel_id": "2952699"}, {"ref": "rjoy98/cnn-starter-nasnet-mobile-72757d", "kernel_id": "2292850"}, {"ref": "chestnut111/data-eda", "kernel_id": "2581826"}, {"ref": "esuchards/keras-cancer-3", "kernel_id": "2559893"}, {"ref": "tjay4798/histopathologic-cancer-detection-2", "kernel_id": "2672586"}, {"ref": "tjay4798/histopathologic-cancer-detection", "kernel_id": "2601153"}, {"ref": "tbass134/fastai-demo", "kernel_id": "2958209"}, {"ref": "rpa216/histopathological-cancer-detection-implementation", "kernel_id": "2839668"}, {"ref": "jpiyush3008/cnn-starter-nasnet-mobile", "kernel_id": "2612774"}, {"ref": "toshikazuwatanabe/histopathologic-cancer-detection", "kernel_id": "2607633"}, {"ref": "guntherthepenguin/fastai-v1-densenet169", "kernel_id": "2156068"}, {"ref": "guntherthepenguin/fastai-v1-group-equivariate-cnns", "kernel_id": "2534322"}, {"ref": "suicaokhoailang/wip-densenet121-baseline-with-fastai", "kernel_id": "2121342"}, {"ref": "gomezp/training-vs-test-images", "kernel_id": "2753492"}, {"ref": "gomezp/complete-beginner-s-guide-eda-keras-lb-0-93", "kernel_id": "2712215"}, {"ref": "qitvision/a-complete-ml-pipeline-fast-ai", "kernel_id": "2201083"}, {"ref": "mentalwanderer/image-classification-workflow-with-fast-ai", "kernel_id": "2876010"}, {"ref": "ritabratamaiti/design-methodology-for-46th-place", "kernel_id": "2966214"}, {"ref": "omkarsabnis/cnn-approaches-for-histopathological-analysis", "kernel_id": "2896806"}, {"ref": "mihaipop/resnet-using-pytorch", "kernel_id": "2464411"}, {"ref": "winstonvan/python-keras-resnet50-for-cancer", "kernel_id": "2206014"}, {"ref": "userdxz/res34-with-pytorch", "kernel_id": "2140141"}, {"ref": "twhitehurst3/cancer-detect-keras-92-acc", "kernel_id": "2802058"}, {"ref": "chanhu/residual-attention-network-pytorch", "kernel_id": "2929726"}, {"ref": "sdelecourt/cnn-with-keras", "kernel_id": "2382552"}, {"ref": "wangze3/cancer-detection-with-deep-cnn", "kernel_id": "2263721"}, {"ref": "omniscientist99/metastatic-cancer-in-lymph-nodes-fastai-resnet50", "kernel_id": "2959971"}, {"ref": "soumya044/histopathologic-cancer-detection", "kernel_id": "2741347"}, {"ref": "vinlor/resnet-and-flow-from-dataframe-notebook", "kernel_id": "2740571"}, {"ref": "anycode/show-tiff-files-as-gray-images", "kernel_id": "2123639"}, {"ref": "puneet6060/image-scene-classification", "kernel_id": "2758706"}, {"ref": "chachichachi/stripped-down-fast-ai-submission", "kernel_id": "2976318"}, {"ref": "aimdata/cancer-detection-using-cnn", "kernel_id": "2416400"}, {"ref": "greg115/histopathologic-cancer-detector-lb-0-958", "kernel_id": "2193227"}, {"ref": "shreyashjiondian2/kernelf8e60a04a1", "kernel_id": "2818933"}, {"ref": "phekima/covnet-review-beginner-lb-0-94", "kernel_id": "2962396"}, {"ref": "phekima/covnet-beginner-lb-0-93", "kernel_id": "2910225"}, {"ref": "sdeagggg/densenet121-with-fast-ai-v1", "kernel_id": "2846440"}, {"ref": "devilsknight/histopathologic-cancer-detection", "kernel_id": "2593439"}, {"ref": "dariwala3/cancer-detection-with-vgg16", "kernel_id": "2640724"}, {"ref": "dariwala3/nasnet-again", "kernel_id": "2802483"}, {"ref": "maxlenormand/my-very-first-cnn", "kernel_id": "2852710"}, {"ref": "maxlenormand/new-cnn-architecture", "kernel_id": "2977907"}, {"ref": "stone0338/lei-s-model", "kernel_id": "2925063"}, {"ref": "tyc812015941/cnn-with-keras-adam", "kernel_id": "2999456"}, {"ref": "zhing001/jorge-zs-vhl", "kernel_id": "2915570"}, {"ref": "sermakarevich/complete-handcrafted-pipeline-in-pytorch-resnet9", "kernel_id": "3005278"}, {"ref": "chiyuancheng/histopathologic-cancer-detection", "kernel_id": "3072224"}, {"ref": "rpeer333/can-you-identify-cancer-cells", "kernel_id": "3709948"}, {"ref": "praxitelisk/histopathologic-cancer-detection-keras", "kernel_id": "3412487"}, {"ref": "artgol/cancer-detection-with-resnet34-in-fastai-v1", "kernel_id": "3074987"}, {"ref": "artgor/cancer-detection-with-kekas", "kernel_id": "3046443"}, {"ref": "seefun/ensemble-top-3-models-in-public-kernels-0-9781", "kernel_id": "3397710"}, {"ref": "seefun/a-pytorch-pipeline-from-team-seed-323", "kernel_id": "3271101"}, {"ref": "seefun/you-really-need-attention-pytorch", "kernel_id": "3275537"}, {"ref": "sayantandas30011998/densenet121", "kernel_id": "3059116"}, {"ref": "sayantandas30011998/fastai-v1-densenet201", "kernel_id": "3079817"}, {"ref": "sayantandas30011998/fastai-v1-densenet121", "kernel_id": "3101065"}, {"ref": "sudharkj/histopathologic-cancer-detection-ensemble", "kernel_id": "3351873"}, {"ref": "sudharkj/histopathologic-cancer-detection", "kernel_id": "3315848"}, {"ref": "benjibb/densenet-resnet-ensemble", "kernel_id": "3352210"}, {"ref": "timk111/competition", "kernel_id": "3152283"}, {"ref": "sumanthmeenan/cancer-detection-using-cnn", "kernel_id": "3934439"}, {"ref": "serg132003/simple-convolut-nn-for-beginner", "kernel_id": "3022495"}, {"ref": "abhijit96/histopathologic-cancer-detection", "kernel_id": "3344153"}, {"ref": "jionie/tta-power-densenet169", "kernel_id": "3253784"}, {"ref": "dromosys/fastai-v1-densenet201-heatmap", "kernel_id": "3306362"}, {"ref": "jerrinv/classify-cancer-cells-using-keras", "kernel_id": "3049678"}, {"ref": "mohanamurali/keras-cnn-stratified-k-fold-optimal-lr", "kernel_id": "3185776"}, {"ref": "iris0508/yarou-simple-cnn", "kernel_id": "3713500"}, {"ref": "iris0508/yarou-multiscale-cnn", "kernel_id": "3698200"}, {"ref": "infoabhitech/cancer-detection-cnn-215k-images-no-crash", "kernel_id": "3018859"}, {"ref": "infoabhitech/cancer-detection-cnn-215k-images-no-crash-2", "kernel_id": "3035042"}, {"ref": "guntherthepenguin/densenet169-with-wsi-split-and-focalloss", "kernel_id": "3256616"}, {"ref": "kokecacao/generating-cancer-jigsaw", "kernel_id": "3342042"}, {"ref": "kokecacao/how-to-get-1-000-lb-1-000", "kernel_id": "3360454"}, {"ref": "mpalermo/keras-pipeline-custom-generator-imgaug", "kernel_id": "3801398"}, {"ref": "rohitgr/fastaiv1-with-densenet121-and-focal-loss", "kernel_id": "3125301"}, {"ref": "riccocruz/custom-cnn-based-off-vgg-16-with-pytorch", "kernel_id": "3296298"}, {"ref": "liaobencheng/transfer-learning", "kernel_id": "3918371"}, {"ref": "liaobencheng/course-design-final", "kernel_id": "3933847"}, {"ref": "pascalnoble/fastai-v1-densenet201-488de9", "kernel_id": "3352355"}, {"ref": "wbtoms74/histopathologic-cancer-detection-with-cnn", "kernel_id": "3028085"}, {"ref": "natwave2/newbees", "kernel_id": "3435279"}, {"ref": "gksthf3178/kerneld947e53faa", "kernel_id": "3183253"}, {"ref": "aadharsh0428/hc-detection-using-pytorch", "kernel_id": "3444122"}, {"ref": "adhamsuliman1993/machine-learning-image-classification-project1", "kernel_id": "3178939"}, {"ref": "aminejait/hplc-set", "kernel_id": "3020379"}, {"ref": "enespolat/histopatolojik-kanser-tespiti", "kernel_id": "3854170"}, {"ref": "edhenrivi/testing-for-image-classification", "kernel_id": "3292432"}, {"ref": "aditya100/histopathologic-cancer-detection", "kernel_id": "3524990"}, {"ref": "samarthsarin/detecting-cancer-with-convolution", "kernel_id": "3908298"}, {"ref": "aaryapatel98/densenet169", "kernel_id": "3571461"}, {"ref": "aaryapatel98/octaveconv-histopathological-image-classification", "kernel_id": "3635846"}, {"ref": "akemiyamashit/starter-densenet-epoch5", "kernel_id": "3206096"}, {"ref": "jtmurkz/keras-resnet50-0-96lb", "kernel_id": "3173512"}, {"ref": "frauscoo/keras-cancerdetection", "kernel_id": "3182509"}, {"ref": "phekima/image-data-gen-test-2", "kernel_id": "3084034"}, {"ref": "eiffelwong1/basic-cnn-for-cancer-detection-pytorch", "kernel_id": "3135014"}, {"ref": "robotdreams/pipeline-for-stain-normilized-training-keras", "kernel_id": "3466194"}, {"ref": "robotdreams/one-cycle-policy-with-keras", "kernel_id": "3425977"}, {"ref": "robotdreams/stain-normalization", "kernel_id": "3297820"}, {"ref": "maxlenormand/tranfer-learning-model-comparaison-w-tensorboard", "kernel_id": "3442728"}, {"ref": "maxlenormand/vgg19-with-180k-images-public-lb-0-968", "kernel_id": "3300862"}, {"ref": "leeking/cnn-conv2d-separableconv2d-keras-new-model-1", "kernel_id": "3630399"}, {"ref": "jaumecloquellcapo/cnn-0-93", "kernel_id": "3755450"}, {"ref": "tyc812015941/image-classification-workflow-with-fast-ai-ca033c", "kernel_id": "3057978"}, {"ref": "tyc812015941/fine-tuning-of-vgg16-3", "kernel_id": "3058256"}, {"ref": "tyc812015941/resnet-and-flow-from-dataframe-notebook", "kernel_id": "3058641"}, {"ref": "tyc812015941/cnn-with-keras-sgd", "kernel_id": "3073295"}, {"ref": "tyc812015941/cnn-with-keras-rmsprop", "kernel_id": "3073572"}, {"ref": "vishal22/histo", "kernel_id": "3845070"}, {"ref": "bonhart/pytorch-cnn-from-scratch", "kernel_id": "3220611"}, {"ref": "jliu104/histopathologic-cancer-detector-lb-0-958", "kernel_id": "3928867"}, {"ref": "sdoctor86/kernel68f688de06", "kernel_id": "3827471"}, {"ref": "rohan500/major-project", "kernel_id": "3349493"}, {"ref": "prajwalkkumar/ml-svm", "kernel_id": "3644331"}, {"ref": "frlemarchand/transfer-learning-for-cancer-detection-keras", "kernel_id": "3722372"}, {"ref": "cagiriozden/logistic-regression-breast-cancer-wisconsin", "kernel_id": "3491994"}, {"ref": "helenkth/a-pytorch-pipeline-from-team-seed-323-df6f45", "kernel_id": "3315464"}, {"ref": "yujiemao1995/cpe695-final-sourcecode", "kernel_id": "3876518"}, {"ref": "grzegorz314/resnet-50-from-scratch", "kernel_id": "3830474"}, {"ref": "dhruviljoshi/cnn-keras", "kernel_id": "3946186"}, {"ref": "rpeer333/pytorch-densenet-for-cancer-detection", "kernel_id": "4441937"}, {"ref": "shangxue/running-kaggle-kernels-with-a-gpu-1c3018", "kernel_id": "4081294"}, {"ref": "rhodiumbeng/histopathologic-cancer-detection-using-cnn", "kernel_id": "4469558"}, {"ref": "sanchit2843/pytorchdensenet201", "kernel_id": "4240126"}, {"ref": "xcutioners/histopathologic-cancer-detection", "kernel_id": "4884229"}, {"ref": "spichon/cancerdetectionja", "kernel_id": "4058735"}, {"ref": "mobassir/hello-world-of-neural-network-for-dummies", "kernel_id": "4135389"}, {"ref": "abhinand05/histopathologic-cancer-detection-using-cnns", "kernel_id": "4428681"}, {"ref": "shahkan/histopathology-cancer-detection-with-accuracy-97", "kernel_id": "4663563"}, {"ref": "vishal22/hist1", "kernel_id": "4118100"}, {"ref": "vishal22/histopathology", "kernel_id": "4176949"}, {"ref": "mohamedkandil/kernelf7e6369c73", "kernel_id": "4198665"}, {"ref": "mohamedkandil/kernelf9d759309b", "kernel_id": "4203225"}, {"ref": "msteger93/best-swagoverflowkernel-clr", "kernel_id": "4560086"}, {"ref": "spica123456/histopathologic-cancer-detection", "kernel_id": "4518331"}, {"ref": "junior100/fork-of-huanglvqicnn", "kernel_id": "4644115"}, {"ref": "feltonvon1019/cancer-cnn", "kernel_id": "4548234"}, {"ref": "realdeo/resnet", "kernel_id": "5300790"}, {"ref": "realdeo/squeeze", "kernel_id": "5252020"}, {"ref": "realdeo/kernel52f71864cd", "kernel_id": "5041544"}, {"ref": "pkzilli/simple-cancer-image-classifier", "kernel_id": "5786431"}, {"ref": "diskandar69/histopathologic-cancer-detection-with-fastai", "kernel_id": "5952751"}, {"ref": "amadorrl2018/cancer-image-detection-fai", "kernel_id": "5287556"}, {"ref": "dachawar/histopathologic-cancer-detector-lb-0-958", "kernel_id": "5235920"}, {"ref": "fengqianpang/a-complete-ml-pipeline-fast-ai", "kernel_id": "6665222"}, {"ref": "lastgeek/canser-cnn", "kernel_id": "6471454"}, {"ref": "aaryapatel98/gradcam-histopathology", "kernel_id": "6118338"}, {"ref": "dariapawlak/projekt-tensorflow", "kernel_id": "6753935"}, {"ref": "yixinchen1/pytorch-image2class", "kernel_id": "6553851"}, {"ref": "alexeybubenets/a-complete-ml-pipeline-fast-ai", "kernel_id": "6702056"}, {"ref": "purushottamsahu/breastcancer", "kernel_id": "6846419"}, {"ref": "mehulkumar99/keras-simple-cnn-cancer-detection", "kernel_id": "7221009"}, {"ref": "ak9969/kernel3665108b3b", "kernel_id": "7385735"}, {"ref": "sadilkhan786/cancer-detection-occlusion-analysis", "kernel_id": "7590492"}, {"ref": "danilaot/pytorch-cnn-from-scratch", "kernel_id": "7001972"}, {"ref": "ahmetyblgn/kanserli-doku-tespiti", "kernel_id": "7030242"}, {"ref": "hanjoonchoe/histopathologic-quick-resnet32-pytorch-no-gpu", "kernel_id": "7045991"}, {"ref": "simhadrig7991/residual-attention-network-pytorch", "kernel_id": "7010647"}, {"ref": "tomaszgil/image-classification-with-densenet", "kernel_id": "7697287"}, {"ref": "leeyell/pytorch-resnet50", "kernel_id": "7074124"}, {"ref": "skye000/cancer-result", "kernel_id": "7763647"}, {"ref": "wish1234/pytorch-cnn", "kernel_id": "7051593"}, {"ref": "batgan/kmuai-wasans", "kernel_id": "7071948"}, {"ref": "kmuaimolayo/kmuai-molayo", "kernel_id": "7120058"}, {"ref": "rorygold/cancer-detection-cnn-with-pooling", "kernel_id": "7437461"}, {"ref": "kamilsladowski/basic-cnn-for-cancer-detection-pytorch", "kernel_id": "7485736"}, {"ref": "alexanderzv/gpu-notebook", "kernel_id": "8597288"}, {"ref": "alexanderzv/intro-into-cv-1-lesson", "kernel_id": "8353247"}, {"ref": "schr0dinger/histopathologic-cancer-detection-model-1", "kernel_id": "8173463"}, {"ref": "deachintiaputri/histopathological-cancer-detection", "kernel_id": "8219007"}, {"ref": "sleepybatman42/cancer-detection-v01", "kernel_id": "8999899"}, {"ref": "sleepybatman42/cancer-detection", "kernel_id": "8999662"}, {"ref": "srose1/cnn-cancer-detection-with-pytorch", "kernel_id": "8969872"}, {"ref": "sp1667/path-data-pytorch", "kernel_id": "8272532"}, {"ref": "mercury9181/rahat-version", "kernel_id": "8699756"}, {"ref": "ssshhhubh/pytorch-beginner", "kernel_id": "8863464"}, {"ref": "marijazzz/kernel1d725f6572", "kernel_id": "8717780"}, {"ref": "philieseg/keras-cnn-cancer-detection", "kernel_id": "8192562"}, {"ref": "giniya/hist-cap2-3", "kernel_id": "8638755"}, {"ref": "smithstrivedi17it/mini-project-cancer-detection", "kernel_id": "8272629"}, {"ref": "robbiebeane/cancer-detection-v01", "kernel_id": "8898625"}, {"ref": "paulorenatocastro/cancer-detect-proj-01", "kernel_id": "8329556"}, {"ref": "wakanlolz/exploring-cnn-enhancements-for-binary-classificati", "kernel_id": "8624343"}, {"ref": "wahyuwiratama/histopathologic-cancer-detection", "kernel_id": "8260709"}, {"ref": "jaykchen/binary-long", "kernel_id": "8864848"}, {"ref": "andreykravets/cancer-analysis", "kernel_id": "8786812"}, {"ref": "natalianenasheva/gpu-hcd-submission-nenasheva", "kernel_id": "8598488"}, {"ref": "sarkisyanaram/polietilen-mo", "kernel_id": "8752556"}, {"ref": "masha1998/prepare-1", "kernel_id": "8771783"}, {"ref": "lizakozlova/gpu-notebook", "kernel_id": "8783875"}, {"ref": "aaryapatel/gradcam-hemorrhage", "kernel_id": "9317177"}, {"ref": "furkaya44/kernel4d2a20c939", "kernel_id": "9688842"}, {"ref": "wtfjyx/se-resnext50-32x4d-with-tta-lb0-9775-0-9780", "kernel_id": "9603186"}, {"ref": "souro12/breast-cancer-cnn", "kernel_id": "9982504"}, {"ref": "vamshikanderao/deep-learning-final-project", "kernel_id": "9175728"}, {"ref": "janprzybyszewski/histopathologic-cancer-detection-using-tensorflow", "kernel_id": "9051560"}, {"ref": "vernondsouza123/beginner-transfer-learning", "kernel_id": "9821144"}, {"ref": "avijeetkgupta/r-d-research-paper", "kernel_id": "9585524"}, {"ref": "shachi01/complete-productionized-fastai-model", "kernel_id": "10155168"}, {"ref": "ahmedelsaied3210/part-2-breast-cancer-analyzer-web-app", "kernel_id": "10451278"}, {"ref": "bekkar/histopathologic-cancer-detection", "kernel_id": "10840947"}, {"ref": "plabannayak/histopathological-cancer-detection-fastai", "kernel_id": "11221061"}, {"ref": "kadhatu/cancer-detection", "kernel_id": "11078058"}, {"ref": "rahmanidriss/deep-learning-computer-vision-cnn-roc", "kernel_id": "11461866"}, {"ref": "ligtfeather/eda-and-cnn-for-image-classification", "kernel_id": "11037894"}, {"ref": "tony1584/resnet-and-flow-from-dataframe-notebook", "kernel_id": "11825720"}, {"ref": "iretundeakinsola/notebook2fcffa4eb9", "kernel_id": "11426148"}, {"ref": "akarshu121/cancer-detection-with-cnn-for-beginners", "kernel_id": "11870050"}, {"ref": "fanbyprinciple/histopathologic-cancer-data-with-fastai-v2", "kernel_id": "12123798"}, {"ref": "emackie/histopathologic-cancer-detection-model-2", "kernel_id": "12287593"}, {"ref": "shreyas13/histopathological-cancer-ieee", "kernel_id": "12123238"}, {"ref": "hiutrnc/a-complete-ml-pipeline-fast-ai-e37094", "kernel_id": "12658617"}, {"ref": "akshatdevve/cancer-detect", "kernel_id": "12571931"}, {"ref": "thangld97/a-complete-ml-pipeline-fast-ai", "kernel_id": "12659305"}, {"ref": "mducducd9999/a-complete-ml-pipeline-fast-ai", "kernel_id": "12664165"}, {"ref": "mahmoudalhussinei/simple-cnn-classification-draft", "kernel_id": "13407249"}, {"ref": "ashiktcy/cnn-starter-nasnet-mobile", "kernel_id": "13060150"}, {"ref": "cailyncraven/anntocnn", "kernel_id": "13185637"}, {"ref": "deepikasuyal/vgg16-100", "kernel_id": "13848626"}, {"ref": "deepikasuyal/vgg16-1000", "kernel_id": "13850322"}, {"ref": "homayoonkhadivi/medical-diagnosis-histopathologic-cancer-cnn", "kernel_id": "13795590"}, {"ref": "sloshdevelopers/cancer-detection-cnn", "kernel_id": "13412907"}, {"ref": "monicab13/ai-project2", "kernel_id": "13069541"}, {"ref": "charlesphilip/histopahologic-cancer-keras", "kernel_id": "13351160"}, {"ref": "lakshminarayanan2318/histopathologic-cancer-detector-lb-0-958-68b6c0", "kernel_id": "13253790"}, {"ref": "lakshminarayanan2318/histopathologic-cancer-detector-lb-0-958", "kernel_id": "13246048"}, {"ref": "etproject/visualisation", "kernel_id": "13623762"}, {"ref": "etproject/res1000", "kernel_id": "13623986"}, {"ref": "etproject/cnnb100", "kernel_id": "13815338"}, {"ref": "etproject/cnnu1000", "kernel_id": "13824303"}, {"ref": "etproject/cnnb500", "kernel_id": "13815817"}, {"ref": "etproject/cnnb1000", "kernel_id": "13816052"}, {"ref": "etproject/cnnu500", "kernel_id": "13816161"}, {"ref": "etproject/res100", "kernel_id": "13626232"}, {"ref": "etproject/res500", "kernel_id": "13625792"}, {"ref": "etproject/resu500", "kernel_id": "13627531"}, {"ref": "etproject/resu1000", "kernel_id": "13627145"}, {"ref": "etproject/compare", "kernel_id": "13334024"}, {"ref": "chahatgarg06/vgg16-u1000", "kernel_id": "13852121"}, {"ref": "chahatgarg06/vgg16-500", "kernel_id": "13852987"}, {"ref": "chahatgarg06/vgg16-u500", "kernel_id": "13853415"}, {"ref": "dapperduck/cancerdetectiondatasetkerascnnevaluation", "kernel_id": "14374508"}, {"ref": "shtrausslearning/pytorch-cnn-binary-image-classification", "kernel_id": "14568264"}, {"ref": "aleksandrawirecka/notebookf68a61690f", "kernel_id": "14478433"}, {"ref": "habibmrad1983/a-complete-ml-pipeline-fast-ai", "kernel_id": "15784169"}, {"ref": "habibmrad1983/cnn-starter-nasnet-mobile", "kernel_id": "15807378"}, {"ref": "allgoodnamesrgone/cancer-detection-testing-on-2-dataset", "kernel_id": "15690186"}, {"ref": "mcambush/medical-diagnosis-histopathologic-cancer-cnn", "kernel_id": "15560022"}, {"ref": "seifmohmed/metastatic-cancer-detection-pytorch", "kernel_id": "15558672"}, {"ref": "kulsoomnahid/vgg16-u1000", "kernel_id": "15936396"}, {"ref": "aman1701/kaggle-capsnet", "kernel_id": "15362926"}, {"ref": "kapilrathor18/histopathologic-cancer-detection-using-cnns", "kernel_id": "15976986"}, {"ref": "chjinny/eng-simple-flow", "kernel_id": "15906341"}, {"ref": "syedaar/histopathologic-cancer-detector-lb-0-958", "kernel_id": "15836025"}, {"ref": "syedaar/histopathologic-cancer-detector-lb-0-958-0ce214", "kernel_id": "15910542"}, {"ref": "syedaar/histopathologic-cancer-detection-using-tensorflow", "kernel_id": "15918363"}, {"ref": "preritatalwar/cancer-detection-testing-on-2-dataset", "kernel_id": "15987025"}, {"ref": "rogeryau/used-restnet50-trained-on-cpu-still-wip", "kernel_id": "16934826"}, {"ref": "prasunagarwal/binary-image-classification", "kernel_id": "16231750"}, {"ref": "alxthms/keras", "kernel_id": "16275989"}, {"ref": "harikabv/hcd-swav-simclr", "kernel_id": "17791410"}, {"ref": "allanyiinai/histopathologic-cancer-detection-revised1", "kernel_id": "17883257"}, {"ref": "allanyiinai/histopathologic-cancer-detection", "kernel_id": "17661461"}, {"ref": "koharudinmahid/notebook281a408809", "kernel_id": "17879547"}, {"ref": "guppykitty/using-cnn-to-classify-images-w-pytorch", "kernel_id": "17087977"}, {"ref": "guppykitty/kaggle-ml", "kernel_id": "17251950"}, {"ref": "chenghsuntseng/kaggle-trident-20210624", "kernel_id": "17924307"}, {"ref": "funkyfog/notebook-c-ncer", "kernel_id": "18559491"}, {"ref": "igorslima/resnet50-cancer", "kernel_id": "18911203"}, {"ref": "walia20/histopathologic-cancer-detection-using-cnns", "kernel_id": "18012908"}, {"ref": "chamaramadhushan/model-1", "kernel_id": "18466914"}, {"ref": "chamaramadhushan/dataset-analysis", "kernel_id": "18605417"}, {"ref": "chamaramadhushan/notebook09f64ad9db", "kernel_id": "18610887"}, {"ref": "camilabaezmenendez/cnn-notebook-c-ncer", "kernel_id": "18806010"}, {"ref": "mkhizerali/notebook181bbe72d8", "kernel_id": "18703057"}, {"ref": "mkhizerali/notebook181bbe72d8-b373c9", "kernel_id": "18710665"}, {"ref": "igorslima/xgboost", "kernel_id": "19821270"}, {"ref": "davidrestrepo/histopahologic-cancer-resnet50", "kernel_id": "20375270"}, {"ref": "myvnotseng/notebookf32fedad53", "kernel_id": "20298595"}, {"ref": "hossamfakher/cancer", "kernel_id": "20784813"}, {"ref": "allanyiin/histopathologic-cancer-detection-revised1", "kernel_id": "21937281"}, {"ref": "allanyiin/histopathologic-cancer-detection", "kernel_id": "21935234"}, {"ref": "jennaward6/jw-cancerdetection-v01-with-visualizations", "kernel_id": "21971463"}, {"ref": "jennaward6/team-4-cancer-detection-submit-jw-edit", "kernel_id": "21922202"}, {"ref": "jennaward6/team-4-histopathologic-cancer-detection-jw-edit", "kernel_id": "21920780"}, {"ref": "jennaward6/jw-final-project-v1", "kernel_id": "21725249"}, {"ref": "sarthaksshukla/histopathologic-cancer-inception-resnets-92-3", "kernel_id": "21640759"}, {"ref": "codewithdaniel1/daniel-cancer-detection-eda", "kernel_id": "21746392"}, {"ref": "amythecoolest/ww-cancer-detection-submission-v02", "kernel_id": "21968946"}, {"ref": "amythecoolest/ww-cancer-detection-submission-crop-v02", "kernel_id": "21973380"}, {"ref": "amythecoolest/ww-cancer-detection-v02", "kernel_id": "21944659"}, {"ref": "amythecoolest/ww-cancer-detection-submission", "kernel_id": "21834074"}, {"ref": "amythecoolest/ww-cancer-detection-eda-v02", "kernel_id": "21886949"}, {"ref": "amythecoolest/ww-cancer-detection-v01", "kernel_id": "21740347"}, {"ref": "mitchellhenderson/cspb3202-hw5-histopathologic-cancer-testmhenderson", "kernel_id": "21712624"}, {"ref": "drewstanowski/training-cancer", "kernel_id": "21817089"}, {"ref": "drewstanowski/as-cancer-detection-submission", "kernel_id": "21968622"}, {"ref": "leopoldtchomgwi/lt-cancerdetection-v01-with-balanced-target-dist", "kernel_id": "21758183"}, {"ref": "leopoldtchomgwi/lt-cancerdetection-submission-with-bal-target-di", "kernel_id": "21825022"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-v02", "kernel_id": "21912561"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-with-cropped-imaged", "kernel_id": "21971651"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-with-cropping-layers", "kernel_id": "21972369"}, {"ref": "leopoldtchomgwi/lt-cancerdetection-imaaug-sub", "kernel_id": "21969146"}, {"ref": "gauravsamudra/gs-cancerdetection-v01", "kernel_id": "21765886"}, {"ref": "gauravsamudra/gs-cancersubmission-v1", "kernel_id": "21947507"}, {"ref": "gauravsamudra/gs-cancerdetection-poc01", "kernel_id": "21833916"}, {"ref": "meherajhossain/cancer-detection-baseline-pytorch", "kernel_id": "21106768"}, {"ref": "jennaward6/team-4-report-notebook", "kernel_id": "22500112"}, {"ref": "robbiebeane/dsci-598-fa21-team-5-eda", "kernel_id": "22845279"}, {"ref": "codewithdaniel1/daniel-cancer-detection-class-activation-maps", "kernel_id": "22627187"}, {"ref": "codewithdaniel1/daniel-cancer-detection-submission", "kernel_id": "22146005"}, {"ref": "amythecoolest/ww-cancer-detection-submission-v05-ensem", "kernel_id": "22562887"}, {"ref": "amythecoolest/ww-cancer-detection-submission-v04-ensem", "kernel_id": "22520881"}, {"ref": "amythecoolest/ww-cancer-detection-visualizations", "kernel_id": "22660152"}, {"ref": "amythecoolest/final-project-cancer-detection-team-5", "kernel_id": "22822424"}, {"ref": "amythecoolest/cancer-detection-v05", "kernel_id": "22415272"}, {"ref": "amythecoolest/ww-cancer-detection-submission-v03", "kernel_id": "22440390"}, {"ref": "amythecoolest/ww-cancer-detection-v04", "kernel_id": "22245767"}, {"ref": "amythecoolest/cancer-detection-v03", "kernel_id": "22153117"}, {"ref": "leopoldtchomgwi/cancerdetection-filter-visualization", "kernel_id": "22395107"}, {"ref": "leopoldtchomgwi/cancerdetection-visualize-activations", "kernel_id": "22390450"}, {"ref": "leopoldtchomgwi/cancerdetection-submission-final2", "kernel_id": "22389913"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-final", "kernel_id": "22365266"}, {"ref": "leopoldtchomgwi/cancerdetection-tl-submission", "kernel_id": "22320571"}, {"ref": "leopoldtchomgwi/cancerdetection-tlv2-submission", "kernel_id": "22345222"}, {"ref": "leopoldtchomgwi/lt-cancer-dection-transferlearning", "kernel_id": "22191800"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-v01-submission-revised", "kernel_id": "22014974"}, {"ref": "leopoldtchomgwi/lt-cancerdetection-final1", "kernel_id": "22025656"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-cropping-layers-submission", "kernel_id": "22000364"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-cropped-images-submission", "kernel_id": "22000205"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-v03-submission", "kernel_id": "22062917"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-tl-3", "kernel_id": "22743266"}, {"ref": "leopoldtchomgwi/lt-hcd-cnn-tl-model-v2", "kernel_id": "22512101"}, {"ref": "leopoldtchomgwi/lt-cancer-detection-images-visualization", "kernel_id": "22505943"}, {"ref": "gauravsamudra/gs-cancerdetection-v02", "kernel_id": "22242519"}, {"ref": "gauravsamudra/team-4-final-model-evaluation-notebook", "kernel_id": "22538179"}, {"ref": "gauravsamudra/gs-cancer-detection-visualizations", "kernel_id": "22544605"}, {"ref": "gauravsamudra/team-4-training-overview-notebook", "kernel_id": "22675461"}, {"ref": "deepthiduggampudi/dsp-project-1", "kernel_id": "22053643"}, {"ref": "lokanathpatro/team-4-final-model-evaluation-notebook", "kernel_id": "22684925"}, {"ref": "katherineleeker/kl-cancer-training", "kernel_id": "22141111"}, {"ref": "katherineleeker/kl-cancer-submission", "kernel_id": "22143353"}, {"ref": "katherineleeker/kl-class-activation-maps", "kernel_id": "22539448"}, {"ref": "skloveyyp/fastai-v1-densenet169", "kernel_id": "23947704"}, {"ref": "parikshitsharma2001/histopathologic-cancer-detection-using-cnns", "kernel_id": "23407320"}, {"ref": "pidocca/asubprojekt", "kernel_id": "23414359"}, {"ref": "klmsathishkumar/cnn-how-to-use-160-000-images-without-crashing", "kernel_id": "24328215"}, {"ref": "oknashar/histopathologic-cancer-detection-using-pytorch", "kernel_id": "24906049"}, {"ref": "georgesaavedra/best-cnn-histopathologic-cancer-classifier", "kernel_id": "24035951"}, {"ref": "hossamfakher/cancer-classification", "kernel_id": "24815174"}, {"ref": "sanjana11147/histopathologic-cancer-detection-using-cnn", "kernel_id": "24088498"}, {"ref": "taylorkern/hcd-submission", "kernel_id": "24865124"}, {"ref": "taylorkern/tk-hcd-vgg16-v01", "kernel_id": "24576310"}, {"ref": "shir0mani/stain-transfer-w-pix2pix-pytorch-lightning", "kernel_id": "25795988"}, {"ref": "utkarshshri1016/histopathologic-cancer-detection-using-cnns", "kernel_id": "25889547"}, {"ref": "utkarshshri1016/histopathological-cancer-detection", "kernel_id": "25240073"}, {"ref": "taylorkern/tk-hcd-v011", "kernel_id": "25813963"}, {"ref": "taylorkern/tk-hcd-v022", "kernel_id": "25436677"}, {"ref": "taylorkern/tk-hcd-v033", "kernel_id": "25436721"}, {"ref": "taylorkern/tk-hcd-v055-96x96", "kernel_id": "25436744"}, {"ref": "taylorkern/tk-hcd-v044", "kernel_id": "25436765"}, {"ref": "taylorkern/tk-hcd-v0055", "kernel_id": "25436766"}, {"ref": "wolfwood0627/cancer-detection-pytorch-cnn", "kernel_id": "25713971"}, {"ref": "luizmartinez/histopathologic-cancer-detection-image-classific", "kernel_id": "26751832"}, {"ref": "huynhthaihoa1995/pytorch-cnn-binary-image-classification", "kernel_id": "26731051"}, {"ref": "taylorkern/original-hcd", "kernel_id": "26410270"}, {"ref": "taylorkern/summary-notebook-portfolio-pt-1", "kernel_id": "26589791"}, {"ref": "taylorkern/tk-hcd-resnet50-v01", "kernel_id": "26033584"}, {"ref": "taylorkern/tk-hcd-vgg19", "kernel_id": "26012956"}, {"ref": "taylorkern/tk-efficientnet", "kernel_id": "26070199"}, {"ref": "taylorkern/eda-tk-hcd-resnet50-v01", "kernel_id": "26775231"}, {"ref": "etm032/cancer-detection", "kernel_id": "26227486"}, {"ref": "skloveyyp/keras-resnet50", "kernel_id": "27249730"}, {"ref": "dayivy/cnn-cancer-detection-kaggle-mini-project", "kernel_id": "27223580"}, {"ref": "aloisshtain/week3", "kernel_id": "27081449"}, {"ref": "alexanderyyy/process-dataset-wsi-noduplicates-fastai-ready", "kernel_id": "27264921"}, {"ref": "alexanderyyy/fastai2-albumentations-focalloss-balancedaccuracy", "kernel_id": "27347666"}, {"ref": "alexanderyyy/pure-fastai2-focalloss-balancedaccuracy", "kernel_id": "27383395"}, {"ref": "ripon107/histopathologic-cancer-detection", "kernel_id": "28555335"}, {"ref": "guymcguy/arj-cnn-cancerdetection", "kernel_id": "28679398"}, {"ref": "daoudmohd/python-keras-resnet50-for-cancer", "kernel_id": "29959322"}, {"ref": "dinethmudalige1997/notebooka90f02b0ce", "kernel_id": "29212289"}, {"ref": "animitasaha05/notebook6efd7c1323", "kernel_id": "29952642"}, {"ref": "mattison/cancer-cnn-detection", "kernel_id": "30047057"}, {"ref": "buffyhridoy/metastesis", "kernel_id": "31774051"}, {"ref": "abdelkareem/pytorch-lightning-cnn-model", "kernel_id": "31664754"}, {"ref": "qodrinzo/histopathologic-cancer-detection-fastai-v2-7-9", "kernel_id": "31592682"}, {"ref": "eiue6866/pure-fastai2-focalloss-balancedaccuracy", "kernel_id": "31517030"}, {"ref": "co19344parnitkaur/notebook9cca3e3d78", "kernel_id": "31420893"}, {"ref": "ivanchukhran/histopathologic-cancer-detection", "kernel_id": "31511631"}, {"ref": "ivanchukhran/pytorch-cnn-binary-image-classification", "kernel_id": "31583353"}, {"ref": "vithngphm/mini-project-ie0005", "kernel_id": "31977344"}, {"ref": "gabolato/notebooked20592e76", "kernel_id": "32716542"}, {"ref": "gabolato/notebookc5a3e41164", "kernel_id": "32140780"}, {"ref": "johannemedina/hcd-eda", "kernel_id": "32119177"}, {"ref": "jwill92/histopathologic-cancer-detection-using-cnn", "kernel_id": "32613508"}, {"ref": "alexandrelangds/cnn-binary-classification-with-pytorch", "kernel_id": "32507716"}, {"ref": "berkealtiparmak/mini-project-ie0005", "kernel_id": "32437098"}, {"ref": "berkealtiparmak/utmist-workshop-3", "kernel_id": "32485532"}, {"ref": "joehardin369/introduction-to-deep-learning-week-3", "kernel_id": "32168428"}, {"ref": "fapifiuba/tecnologias-emergentes-detecci-n-de-c-ncer", "kernel_id": "32814668"}, {"ref": "lindyz/utmist-workshop-3", "kernel_id": "32489695"}, {"ref": "ahmadmahdy/cancer-detection-with-pytorch", "kernel_id": "33853914"}, {"ref": "abdelmoneimmostafa/cnn-cancer-detection-project", "kernel_id": "33556570"}, {"ref": "etm032/tarun-032", "kernel_id": "33535019"}, {"ref": "ameerhamza157/a-rauf-ml-project2224hrs", "kernel_id": "34254970"}, {"ref": "shriyutha/cancer-detection-cnn", "kernel_id": "34728714"}, {"ref": "mdreyadhossainnsu/python-keras-resnet50-for-cancer", "kernel_id": "34340181"}, {"ref": "alirezasoltanikh/binary-image-classification", "kernel_id": "34151925"}, {"ref": "thuylinh225/histopathologic-cancer-detection", "kernel_id": "34449027"}, {"ref": "tunminhv/cancer-cell-detection", "kernel_id": "34716130"}, {"ref": "alielhenidy/cancer-detection-with-pytorch", "kernel_id": "35905495"}, {"ref": "lorbybi/cnn-histopathologic-cancer-detection", "kernel_id": "35175452"}, {"ref": "chli3841/histopathologic-cancer-detection-with-cnn-tf", "kernel_id": "35169672"}, {"ref": "sandipanumbc/cancer-detection-with-vgg16-19-resnet50", "kernel_id": "36380020"}, {"ref": "wrecked22/cancer-detection-using-transfer-learning", "kernel_id": "36867112"}, {"ref": "kitai11/cnn-cancer-detection-ntbk", "kernel_id": "36141176"}, {"ref": "keithrek/cnn-cancer-detection", "kernel_id": "36060231"}, {"ref": "hidetaketakahashi/report-cancerdetection", "kernel_id": "37930474"}, {"ref": "hidetaketakahashi/cancerdetection-cnn2", "kernel_id": "37912769"}, {"ref": "hidetaketakahashi/cancerdetection-cnn2-relu", "kernel_id": "37945632"}, {"ref": "hidetaketakahashi/read-file-for-cancer-detection", "kernel_id": "37285356"}, {"ref": "akitsuyoshi/cnn-using-transfer-learning-in-keras", "kernel_id": "37102791"}, {"ref": "jonghyunlee1993/cancer-detection-with-pytorch", "kernel_id": "37064202"}, {"ref": "y5cy5c/histopathologic-cancer-detection", "kernel_id": "37268812"}, {"ref": "yunxuansheng2000/residual-attention-network-pytorch-61597c", "kernel_id": "37294957"}, {"ref": "tirendazacademy/cancer-detection-using-lightning-comet-ml", "kernel_id": "38345525"}, {"ref": "endpoem/notebookd385ab217f", "kernel_id": "38086151"}, {"ref": "krist0phersmith/build-custom-cnn-for-cancer-detection", "kernel_id": "38820116"}, {"ref": "ayatarekshalata/nasnet-mobile-for-sarcoma-detection", "kernel_id": "38545853"}, {"ref": "fadhilmuh/cv-histopathologic-cancer-detection", "kernel_id": "38632284"}, {"ref": "vyawaharea/41469-seminar-honors", "kernel_id": "38649359"}, {"ref": "alejandroborbolla/histopathologic-cancer-detection", "kernel_id": "38252437"}, {"ref": "metropheonix/classification-of-histopathologic-breast-cancer-im", "kernel_id": "39737537"}, {"ref": "dyogaharshitha/cancer-detection-using-convnet", "kernel_id": "39246897"}, {"ref": "pranavsaigarlapati/histopathologic-cancer-detection-using-cnn", "kernel_id": "40623751"}, {"ref": "premdevb22bb047/iml-project", "kernel_id": "40419858"}, {"ref": "xreina8/attempt-2", "kernel_id": "40629312"}, {"ref": "mrinaljaiswal/cancer-cnn-project", "kernel_id": "40068703"}, {"ref": "robinlutter/cnn-cancer-detection", "kernel_id": "41637144"}, {"ref": "conradkleykamp/histopathologic-cancer-detection-cnn", "kernel_id": "41158799"}, {"ref": "kennethmccarthy/cancer-detection-with-cnn", "kernel_id": "41832520"}, {"ref": "hugheslangstonyabo/histopathologic-cancer-detection", "kernel_id": "41358347"}, {"ref": "anubhav012/resnet50-val-acc-0-9476", "kernel_id": "42261142"}, {"ref": "xreina8/histopath-79-44-accurate-ai-cancer-detection", "kernel_id": "42025372"}, {"ref": "anthonypullano/en-625-742-pytorch", "kernel_id": "42103307"}, {"ref": "nichorose/histopathologic-cancer-detection-using-cnns", "kernel_id": "42631616"}, {"ref": "anthonyylee/cnn-histopathologic-classification-using-pytorch", "kernel_id": "43684211"}, {"ref": "flaviabarcellos/histopathologic-cancer-detection", "kernel_id": "43154356"}, {"ref": "flaviabarcellos/notebook02db157dac", "kernel_id": "43152622"}, {"ref": "jaymanvirk/model-designs-impact-on-cnn", "kernel_id": "44218087"}, {"ref": "svendegroeve/vib-pcam-starter", "kernel_id": "45065169"}, {"ref": "amritrajmisra/breast-cancer-detection-capstone-project", "kernel_id": "45563924"}, {"ref": "editama/cnn-histopathology-inline", "kernel_id": "45103835"}, {"ref": "yashupadhyay0001/exp10-cnn-binary-image-classificationxp", "kernel_id": "45319664"}, {"ref": "sarabronson/seab-take-1-hcd", "kernel_id": "45901251"}, {"ref": "rodrigolealtarrago/notebook2ea1998649", "kernel_id": "45660140"}, {"ref": "devgurjar/cnn-histopathologic-classification-using-pytorch", "kernel_id": "45022483"}, {"ref": "jefferyboczkaja/test-notebook", "kernel_id": "45960431"}, {"ref": "daisy1020/histopathologic-cancer-detection", "kernel_id": "46262827"}, {"ref": "hari0409/histopathological-cancer-detection", "kernel_id": "46304647"}, {"ref": "laiagdla/cancer-vit-image-classification-with-transformers", "kernel_id": "46992049"}, {"ref": "sandeephalkatti/sdp-histopathologic-cancer-detection-using-cnns", "kernel_id": "46506275"}, {"ref": "sarabronson/seab-take-1-hcdx", "kernel_id": "46108709"}, {"ref": "sarabronson/seab-take-1-hcd-bf3be1", "kernel_id": "46090998"}, {"ref": "sarabronson/hcd-tf", "kernel_id": "46164913"}, {"ref": "sarabronson/hcd-pytorch-take1", "kernel_id": "46542853"}, {"ref": "sarabronson/hcd-tf-3", "kernel_id": "46386096"}, {"ref": "sarabronson/sb-hcd-kt-sub", "kernel_id": "46484916"}, {"ref": "sarabronson/hcd-sb-6", "kernel_id": "46462265"}, {"ref": "sarabronson/hcd-pytorch-take2", "kernel_id": "46766493"}, {"ref": "shayjohnson/hcd-test-3", "kernel_id": "46279400"}, {"ref": "shayjohnson/hcd-take-2", "kernel_id": "46219012"}, {"ref": "shayjohnson/hcd-test-submission", "kernel_id": "46435346"}, {"ref": "devgurjar/final-submission", "kernel_id": "46504774"}, {"ref": "devgurjar/custom-cnn", "kernel_id": "46527324"}, {"ref": "jefferyboczkaja/test-submission", "kernel_id": "46106475"}, {"ref": "jefferyboczkaja/seab-take-1-hcd-bf3be1", "kernel_id": "46101749"}, {"ref": "jefferyboczkaja/hcd-pytorch-submission", "kernel_id": "46835047"}, {"ref": "lewiscooper10042392/histopathologic-cancer-detection-cnn-model", "kernel_id": "46723271"}, {"ref": "grapeseed/cnn-cancer-detection", "kernel_id": "47586398"}, {"ref": "arcotgautham/msds-histopathologic-cancer-detection-cnn-model", "kernel_id": "47893041"}, {"ref": "sarabronson/hcd-model-testx", "kernel_id": "47609701"}, {"ref": "shayjohnson/hcd-sb-6-1", "kernel_id": "47951209"}, {"ref": "shayjohnson/hcd-sb-6", "kernel_id": "47983500"}, {"ref": "shayjohnson/sb-hcd-kt-sub", "kernel_id": "47990670"}, {"ref": "shayjohnson/fork-of-hcd-sb-6", "kernel_id": "47470312"}, {"ref": "shayjohnson/hcd-submision-1", "kernel_id": "47565228"}, {"ref": "shayjohnson/hcd-sb-6-test", "kernel_id": "47562272"}, {"ref": "sgjustino/cnn-final-modeling", "kernel_id": "47598555"}, {"ref": "abdulmoeedbabar/histopathologic-cancer-detection-using-cnns", "kernel_id": "47002557"}, {"ref": "shaantel/hcd-model-test", "kernel_id": "47592356"}, {"ref": "shaantel/hcd-test", "kernel_id": "47483731"}, {"ref": "mrjustpeachy/cnn-histopathologic-cancer-detection", "kernel_id": "48307469"}, {"ref": "markmechail/brain-tumor-classification-using-resnet50", "kernel_id": "48414935"}, {"ref": "favadhassanjaskani/wajeeh-final-code-01-02-2024", "kernel_id": "49568985"}, {"ref": "toddgardiner/binary-cancer-classifier-s-tf-tpu", "kernel_id": "49335108"}, {"ref": "georgiosbaris/pytorch-cnn-binary-image-classification", "kernel_id": "49741369"}, {"ref": "maneeshababburi/21bai1662-babburi-maneesha", "kernel_id": "49592214"}, {"ref": "jedhelmers/notebook126561dbb2", "kernel_id": "50887279"}, {"ref": "srujanapalli/histopathologic-cancer-detection-cnn", "kernel_id": "50686325"}, {"ref": "jieshends2020/cnn-cancer-detection-inceptiontransferlearning", "kernel_id": "50185168"}, {"ref": "chiuchiyin/histopathologic-cancer-detection-with-cnn", "kernel_id": "50201724"}, {"ref": "anupmsingh12/histopathologic-cancer-detection-cnn", "kernel_id": "51753169"}, {"ref": "isabellafigueroa/histopathologic-cancer-detection", "kernel_id": "51142101"}, {"ref": "naveenkumarravella/histopathologic-cancer-detection-by-team", "kernel_id": "51878214"}, {"ref": "at1and/pytorch-oop-cnn", "kernel_id": "51564918"}, {"ref": "aleksandrmorozov123/computer-vision-with-pytorch", "kernel_id": "53575924"}, {"ref": "svendegroeve/d012554-lr-cnn", "kernel_id": "54567338"}, {"ref": "jeisonpham/notebook9cf0e0ad7b", "kernel_id": "54689505"}, {"ref": "isaacbinlin/deep-learning-for-histopathologic-cancer-diagnosis", "kernel_id": "54537066"}, {"ref": "codydeee/notebookc7a95ca4ec", "kernel_id": "54461469"}, {"ref": "naveenkumarravella/histopathologic-cancer-detection", "kernel_id": "55908063"}, {"ref": "satishamim/histopathologic-cancer-detection", "kernel_id": "56639086"}, {"ref": "vquilon/b09-lec05-ex-histopathologic-classification", "kernel_id": "57563732"}, {"ref": "abdulbasit31/cnn-sb", "kernel_id": "57111134"}, {"ref": "bigdickfuck/histopathologic-cancer-detection-using-pytorch", "kernel_id": "57824842"}, {"ref": "loyumbamoirangthem/cancer-detection-with-pytorch", "kernel_id": "58983663"}, {"ref": "mdmahedihasanjoy/notebook683b7c697e", "kernel_id": "58731298"}, {"ref": "ismsahin/cancer-detection-with-cnn-for-beginners", "kernel_id": "58800738"}, {"ref": "farhanpatel20/tk-hcd-vgg19", "kernel_id": "58515686"}, {"ref": "mbmlearner/hcd-using-cnns", "kernel_id": "60369358"}, {"ref": "vatistakachroo/cancer-detection-cnn", "kernel_id": "60436364"}, {"ref": "christina0626/cnn-histopatholgical-cancer-prediction", "kernel_id": "61302597"}, {"ref": "chideraobiezue/histopatologic-cancer-detection", "kernel_id": "61532922"}, {"ref": "shaunyoon/cancer-detection", "kernel_id": "62492015"}, {"ref": "osamaabobakr/camelyon17-os-lr-0-0001", "kernel_id": "62613854"}, {"ref": "melissaroush/mr-cancer-detection-submission-v10", "kernel_id": "62984242"}, {"ref": "melissaroush/mr-hcd-eda", "kernel_id": "62243626"}, {"ref": "melissaroush/mr-histopath-cancer-det-v01", "kernel_id": "62312711"}, {"ref": "melissaroush/mr-histopathologic-cancer-detection-submission-v1", "kernel_id": "62410739"}, {"ref": "melissaroush/mr-cancer-detection-submission-v2", "kernel_id": "62770485"}, {"ref": "melissaroush/mr-histopath-cancer-det-v10", "kernel_id": "62597833"}, {"ref": "recluseturtle/histopathologic-cancer-detection-jr", "kernel_id": "62500534"}, {"ref": "amirtavakkoli13/histopathologic-cancer-detection", "kernel_id": "62414123"}, {"ref": "princeaman/cancer-detection", "kernel_id": "63474028"}, {"ref": "mohammedhamzamoawad/histopathologic-cancer-detection", "kernel_id": "63377279"}, {"ref": "melissaroush/mr-histopath-cancer-det-v13", "kernel_id": "63594720"}, {"ref": "melissaroush/mr-cd-submission-v13", "kernel_id": "63634431"}, {"ref": "melissaroush/mr-cd-submission-v12-1", "kernel_id": "63429549"}, {"ref": "melissaroush/mr-histopath-cancer-det-v12", "kernel_id": "63421948"}, {"ref": "warumponp/histopathologic-cancer-detection", "kernel_id": "64320343"}, {"ref": "melissaroush/mr-hcd-final", "kernel_id": "64727253"}, {"ref": "melissaroush/histopath-cd-v25", "kernel_id": "64691752"}, {"ref": "dazhengzhu/histopathologic-cancer-detection", "kernel_id": "64163538"}, {"ref": "vinitkp/histopathology-image-classification", "kernel_id": "65707818"}, {"ref": "faramarzkowsari/cnn-histopathologic-cancer-detection-colorado", "kernel_id": "65193157"}, {"ref": "mdziyamubeenahmed/swintransformer-model", "kernel_id": "65150193"}, {"ref": "samanenajarian/pytorch-cnn-binary-image-classification", "kernel_id": "65670428"}, {"ref": "galandatasci/detector-histopatol-gico-con-pytorch", "kernel_id": "65397894"}, {"ref": "akkefa/histopathologic-cancer-detection-cnn", "kernel_id": "66007220"}, {"ref": "migueljimenez09/cnn-pytorch-histopathologic-cancer-detection", "kernel_id": "66103382"}, {"ref": "mdziyamubeenahmed/data-preprocessing", "kernel_id": "66464366"}, {"ref": "prince1947/cnn-based-diseased-tissue-detection", "kernel_id": "66256517"}, {"ref": "grainier/histopathologic-cancer-detection-using-cnn", "kernel_id": "66182071"}, {"ref": "tomasbebra/resnet50-with-pytorch", "kernel_id": "67095015"}, {"ref": "rohitveligetix/cancer-detection-ws", "kernel_id": "68748857"}, {"ref": "zrelliiheb/pytorch-cnn-binary-image-classification", "kernel_id": "68004117"}, {"ref": "pabramber01/histopathologic-cancer-detection", "kernel_id": "68548145"}, {"ref": "billtruelove/cancerdetection", "kernel_id": "69958677"}, {"ref": "sakshamkurai/notebookff6c489e74", "kernel_id": "69053548"}, {"ref": "kodaifukuda0311/histopathologic-cancer-detection-with-cnn", "kernel_id": "69048034"}, {"ref": "ameer214/am-histopathologic-cancer-detection-v01", "kernel_id": "70297007"}, {"ref": "ameer214/am-histopathologic-cancer-detection-submission", "kernel_id": "70297094"}, {"ref": "sabbym/sjm-histopathologic-cancer", "kernel_id": "70297753"}, {"ref": "astoreyai/as-week-7-baseline-cnn-training", "kernel_id": "70033427"}, {"ref": "astoreyai/as-week-7-baseline-cnn-testing-submission", "kernel_id": "70037750"}, {"ref": "terripietka/tap-week-2nd-submission", "kernel_id": "70788952"}, {"ref": "terripietka/tap-week-4-second-cnn-model", "kernel_id": "70595456"}, {"ref": "shantanurajurkar25/fork-of-edai-final", "kernel_id": "70842367"}, {"ref": "sabbym/sjm-histopathologic-cancer-submission", "kernel_id": "71008394"}, {"ref": "terripietka/tap-120924v2-submission", "kernel_id": "71844999"}, {"ref": "terripietka/tap-cbam-submission-v3", "kernel_id": "71424826"}, {"ref": "benshakiba/bs-sm-tp-histopathologic-cancer-detection", "kernel_id": "71569666"}, {"ref": "tolarteh/hc-with-huggingface", "kernel_id": "72145684"}, {"ref": "astoreyai/as-histopathologic-cancer-summary-workbook", "kernel_id": "72609415"}, {"ref": "astoreyai/as-histopathologic-cancer-03-testing", "kernel_id": "72605274"}, {"ref": "astoreyai/as-histopathologic-cancer-01-eda", "kernel_id": "72582413"}, {"ref": "astoreyai/as-histopathologic-cancer-02-training", "kernel_id": "72591124"}, {"ref": "terripietka/bs-sm-tp-121424-final-submission", "kernel_id": "72851538"}, {"ref": "terripietka/bs-sm-tp-hcd-final-project", "kernel_id": "72882121"}, {"ref": "terripietka/tap-120924v2-submission-with-class-weighting", "kernel_id": "72665330"}, {"ref": "terripietka/bs-sm-tp-121424-final-model", "kernel_id": "72472833"}, {"ref": "terripietka/bs-sm-tp-hcd-visualizations", "kernel_id": "72067142"}, {"ref": "raj3006/a-complete-ml-pipeline-fast-ai-6c87cf", "kernel_id": "72556405"}, {"ref": "tanishjain1403/resnet-problem", "kernel_id": "73762884"}, {"ref": "sepehrkh/use-gpu-t4x2-two-gpus-on-histopathologic-images", "kernel_id": "76316834"}, {"ref": "ivandavidruizangel/ivandruiza-histological-classifier-cnn", "kernel_id": "76535378"}, {"ref": "lorenzomaiuri/cancer-image-detection-with-pytorch", "kernel_id": "76963558"}, {"ref": "akashkatukojvala/pytorch-cnn-binary-image-classification", "kernel_id": "77298897"}, {"ref": "phmthanhphc/cnn-image-classification-32fed9", "kernel_id": "77932443"}, {"ref": "chinmayeebdalai/notebook2ac6ec3e94", "kernel_id": "78611276"}, {"ref": "vikkach/cancer-detection-cnn", "kernel_id": "79466797"}, {"ref": "abirdas21/sufflenet-lung-cancer-detection", "kernel_id": "79938693"}, {"ref": "robertoxley/cancer-detection-via-cnns", "kernel_id": "79232204"}, {"ref": "sushmachilakala/cnn-cancer-detection", "kernel_id": "79771214"}, {"ref": "erikanderson1/cancer-detection-with-keras", "kernel_id": "80370080"}, {"ref": "bdtinsley/cancer-detection", "kernel_id": "80938911"}, {"ref": "carlosmatherson/cnn-architecture-comparison-for-histopathology", "kernel_id": "80859882"}, {"ref": "ccozad/week-3-cnn-cancer-detection-mini-project", "kernel_id": "81062094"}, {"ref": "bs5116sa/histopathologic-cancer-detection-using-cnns", "kernel_id": "81606474"}, {"ref": "arpit1bansal/histopath-cancer-preprocess", "kernel_id": "81930773"}, {"ref": "stephenlajuwomi/neural-network-assignmet", "kernel_id": "81127342"}, {"ref": "androgermisashvili/histopathologic-cancer-detection", "kernel_id": "81273176"}, {"ref": "pyuansong/final-project", "kernel_id": "81781439"}, {"ref": "kakarot17/cnn-cancer-detection-inceptiontransferlearning", "kernel_id": "82151876"}, {"ref": "alexandermaitken/cnn-cancer-detection", "kernel_id": "82046224"}, {"ref": "thewaler/cnn-cancer-detection-kaggle-mini-project", "kernel_id": "83450210"}, {"ref": "soccerguy282/cnncancerdetect", "kernel_id": "83186466"}, {"ref": "fathimathsoofiyaen/histopathological-cnn-model", "kernel_id": "83811175"}, {"ref": "fathimathsoofiyaen/histopathological-cnn-3", "kernel_id": "83682630"}, {"ref": "michport/cancer-detection-project", "kernel_id": "83716902"}, {"ref": "codesniper0001/cancer-detection-project", "kernel_id": "83932268"}, {"ref": "fathimathsoofiya/histopathological-cnn-1", "kernel_id": "83628735"}, {"ref": "soccerguy282/cnncancerdetect-mobilenet", "kernel_id": "84104226"}, {"ref": "michaelgrybko/cnn-cancer-detection", "kernel_id": "84320682"}, {"ref": "subhashbs36/pcam-dinov2-classification", "kernel_id": "84710288"}, {"ref": "asama060/pcam-dinov2-classification", "kernel_id": "84725459"}, {"ref": "ameau01/histopathologeic-cancer-detection", "kernel_id": "84075746"}, {"ref": "jonchernoch/cancer-detection-with-cnn-869-auc", "kernel_id": "84827807"}, {"ref": "maritatrammell/histopathologic-cancer-detection", "kernel_id": "84157221"}, {"ref": "bilaljk/cancer5011", "kernel_id": "85170191"}, {"ref": "janmejayburanpuri/histopathologic-cancer-detection-miniproject", "kernel_id": "85292165"}, {"ref": "mertcanduran/histopathologeic-cancer-detection", "kernel_id": "85103736"}, {"ref": "eloisedai/pcam-tumor-detection-full-pytorch-pipeline", "kernel_id": "85461281"}, {"ref": "davidlord123/cancer-detection-using-tensorflow-and-cnn", "kernel_id": "86500807"}, {"ref": "mattvierheller/mwv-final-project-training-model-1", "kernel_id": "86992108"}, {"ref": "mattvierheller/mwv-final-project-training-model-2", "kernel_id": "86992195"}, {"ref": "mattvierheller/mwv-final-project-training-model-3", "kernel_id": "86992226"}, {"ref": "anhuinn/histopathologic-cancer-detection-cnn-pytorch", "kernel_id": "86745777"}, {"ref": "taylorikner/histopathologic-cancer-detection-kaggle-ti", "kernel_id": "86828471"}, {"ref": "mattvierheller/mwv-cancer-detection-submission", "kernel_id": "87438591"}, {"ref": "mattvierheller/mwv-cancer-detection-submission-2", "kernel_id": "87541937"}, {"ref": "mattvierheller/mwv-final-project-training-model-4", "kernel_id": "87858220"}, {"ref": "hermanjustino/histopathologic-cancer-detection-deep-learning-p", "kernel_id": "88128476"}, {"ref": "yupeiwork/pytorch-cnn-binary-image-classification", "kernel_id": "88025613"}, {"ref": "mattvierheller/mwv-final-project-submission-ensemble", "kernel_id": "88605209"}, {"ref": "mattvierheller/mwv-final-project-training-model-5", "kernel_id": "88006861"}, {"ref": "mattvierheller/mwv-final-project-submission-efficientnet", "kernel_id": "88149691"}, {"ref": "tinatally/histopathologic-cancer-detection", "kernel_id": "91657489"}, {"ref": "rozyshindra/breast-cancer-cells-detection-in-histopathology", "kernel_id": "91004022"}, {"ref": "brandonjknight/histopathologic-cancer-detection", "kernel_id": "92652283"}, {"ref": "pasoidorami/notebook3b11f2b77c", "kernel_id": "92699535"}, {"ref": "ramachandrareddy09/cancer-detection-with-cnn-for-beginners", "kernel_id": "92166874"}, {"ref": "anthonytherrien/histopathologic-cancer-detection-complete", "kernel_id": "93605287"}, {"ref": "lmminhquang/histopathologic-read-code", "kernel_id": "93723145"}, {"ref": "thnquangvinh/histopathologic-cancer-detection", "kernel_id": "93703651"}, {"ref": "thnquangvinh/histopathologic-cancer-detection-2", "kernel_id": "93930700"}, {"ref": "qvinhiuqh/histopathologic-cancer-detection", "kernel_id": "93901294"}, {"ref": "lmminhquang/histopathologic-fast-ai", "kernel_id": "94025649"}, {"ref": "thnquangvinh/histopathologic-cancer-detection-vit-small-16", "kernel_id": "94011303"}, {"ref": "salvadorbarcenasvall/pytorch-optuna-and-different-architectures", "kernel_id": "95653110"}, {"ref": "sudetekinkoca/lenf-kanseri-dogruluk-82-epochs-1", "kernel_id": "95369994"}, {"ref": "sudetekinkoca/lenf-kanseri-81-dogruluk", "kernel_id": "95243097"}, {"ref": "sivanarutselvi/cnn-model", "kernel_id": "96960290"}, {"ref": "danielkenney99/notebook14bad50afe", "kernel_id": "96110208"}, {"ref": "johnogilvie/jwo-histocancerdetect-best2-select-v1", "kernel_id": "97828690"}, {"ref": "johnogilvie/jwo-histocancerdetect-best-select-v1", "kernel_id": "97714443"}, {"ref": "johnogilvie/jwo-histocancerdetect-layers-select-v1", "kernel_id": "97697116"}, {"ref": "johnogilvie/jwo-histocancerdetect-best-submission", "kernel_id": "97707339"}, {"ref": "johnogilvie/jwo-histocancerdetect-eda-select-v1", "kernel_id": "97281314"}, {"ref": "johnogilvie/jwo-histocancerdetect-submission", "kernel_id": "97303432"}, {"ref": "johnogilvie/jwo-histocancerdetect-transfer-select-v1", "kernel_id": "97576551"}, {"ref": "johnogilvie/jwo-histocancerdetect-data-augs-select-v1", "kernel_id": "97470398"}, {"ref": "johnogilvie/jwo-histocancerdetect-img-sizes-select-v1", "kernel_id": "97445607"}, {"ref": "royalalbert/deep-learning-project-2-notebook", "kernel_id": "98206481"}, {"ref": "efeeroglu/histopathologic-cancer-detection", "kernel_id": "98491343"}, {"ref": "blackseadolphins/cnn-cancer-detection-kaggle-mini-project", "kernel_id": "98085246"}, {"ref": "royalalbert/project2-team-nanochat", "kernel_id": "99744568"}, {"ref": "willowens/deep-learning-week-3", "kernel_id": "102274732"}, {"ref": "sajnashoukath/histopatho1-pro", "kernel_id": "102955081"}, {"ref": "lawrenceganesh/lg-dl-cancerhisto-v2-0", "kernel_id": "103133910"}, {"ref": "angelapalomer/cnn-cancer-detection", "kernel_id": "103197727"}, {"ref": "sajnatasneem/final-pro2", "kernel_id": "103196778"}, {"ref": "sajnatasneem/histo-final-project", "kernel_id": "103122217"}, {"ref": "sajnatasneem/project1-new", "kernel_id": "103131666"}, {"ref": "walmsleylab/cancer-detection-with-cnn-and-refined-models", "kernel_id": "103521212"}, {"ref": "moezahsan1/histopathologic-cancer-detection-using-cnn", "kernel_id": "104420749"}, {"ref": "scf66611/notebook8594f37c9d", "kernel_id": "104831219"}, {"ref": "sc0v1n0/exercise-cancer-image-detection-with-pytorch", "kernel_id": "105056581"}, {"ref": "osamaashrafeid2004/cancer-detection", "kernel_id": "105416840"}, {"ref": "harikareddy9595/histopathologic-cancer-prediction", "kernel_id": "105896393"}, {"ref": "abramgamalboulos/histopathologic", "kernel_id": "105416711"}, {"ref": "abhi9737/histopathological-camelyon16-detection", "kernel_id": "107976933"}, {"ref": "tealaconcepcion/teala-concepcion-histopathologic-cancer-detection", "kernel_id": "108002063"}, {"ref": "alexandermeau/histopathologeic-cancer-detection", "kernel_id": "109979127"}, {"ref": "abhi9737/ubc-dataset-results", "kernel_id": "111462339"}, {"ref": "siraathussein/image-classification-workflow-with-fast-ai", "kernel_id": "112285732"}, {"ref": "amr2054/histopathologic-cancer-detection-ml-approach", "kernel_id": "112438841"}, {"ref": "samarboray/histopathologiccancerdetection-e54ea5", "kernel_id": "112975179"}, {"ref": "sudenazozen/model-notebook789dc59913", "kernel_id": "112429420"}, {"ref": "subhrashefalisahoo/quantum-cnn-on-histopathologic-cancer", "kernel_id": "113966651"}, {"ref": "sudenazozen/fork-of-model-notebook789dc59913", "kernel_id": "114420694"}, {"ref": "sudenazozen/fork-of-d-epoch15", "kernel_id": "114927141"}, {"ref": "sudenazozen/d-epoch10", "kernel_id": "114913718"}, {"ref": "sudenazozen/sunum-d-epoch15", "kernel_id": "114980544"}, {"ref": "saatvikrajvanshi/cancer-detection", "kernel_id": "115409548"}, {"ref": "javierfernndezramos/project-cad", "kernel_id": "116574659"}, {"ref": "amr2054/feature-extraction", "kernel_id": "116940257"}, {"ref": "qaiser7/skin-cancer-detection-using-cnn", "kernel_id": "116672752"}, {"ref": "marsh04/test-histo", "kernel_id": "117618440"}, {"ref": "marsh04/histopathologic-eda", "kernel_id": "117429078"}, {"ref": "marsh04/train0", "kernel_id": "117498015"}, {"ref": "samarboray/test-histo-5aa9cc", "kernel_id": "117789383"}, {"ref": "sudenazozen/bilimsel-proje", "kernel_id": "117048687"}, {"ref": "sepehrkh/ai-fastapi-histo-cancer-classification", "kernel_id": "118063538"}, {"ref": "abdelhaqouzerda/cancer-detection", "kernel_id": "126145985"}, {"ref": "aayushveerabhadran/cnn-architecture-comparison-for-histopathology", "kernel_id": "128621503"}, {"ref": "oroaah/cnn-cancer-detection", "kernel_id": "129138665"}, {"ref": "matthewcasazza/csci-3202-hw5", "kernel_id": "129202470"}, {"ref": "phuongtheson/resnet18-torchlightning-cancer-detection", "kernel_id": "131607107"}, {"ref": "melissamayer24/pcam-dataset-expansion", "kernel_id": "132469924"}, {"ref": "pavlozelinskiy/hcd-convnext-tiny-submit-v1", "kernel_id": "133747787"}, {"ref": "pavlozelinskiy/hcd-convnext-tiny-train-v1", "kernel_id": "134180001"}, {"ref": "nguyenphucduyy/histopathologic-cancer-detection", "kernel_id": "134613375"}, {"ref": "quockhanh295/histopathologic-cancer-detection", "kernel_id": "135483946"}, {"ref": "quockhanh295/convnext-base", "kernel_id": "136348634"}]}
{"competition_id": "11851", "kernels": []}
{"competition_id": "11880", "kernels": [{"ref": "mkowoods/stacked-bidirectional-lstm-test-acc-95", "kernel_id": "2162997"}, {"ref": "mkowoods/stacked-bid-lstm-w-attention-lb-0-989", "kernel_id": "2163452"}, {"ref": "ceshine/pytorch-temporal-convolutional-networks", "kernel_id": "2188513"}, {"ref": "ceshine/pytorch-multilayer-perceptron-mlp-baseline", "kernel_id": "2193024"}, {"ref": "emilyst/training-a-basic-neural-network", "kernel_id": "2192337"}, {"ref": "rooshroosh/top4-lb-0-991-score-actually-gru-lstm", "kernel_id": "2173356"}, {"ref": "moghazy/exploratory-data-analysis", "kernel_id": "2155626"}, {"ref": "ashishsinhaiitr/bi-lstm-and-attention", "kernel_id": "2162285"}, {"ref": "anikishaev/turkey-competition", "kernel_id": "2155546"}, {"ref": "ashishpatel26/updated-cuda-dnn-lstm-stacked-model-99", "kernel_id": "2159038"}, {"ref": "ankurshukla03/turkey-calling-happy-thanksgiving", "kernel_id": "2160652"}, {"ref": "teemingyi/turkey-competition", "kernel_id": "2158546"}, {"ref": "takaishikawa/turkey-or-not-turkey-that-is-the-question-0-987", "kernel_id": "2156868"}, {"ref": "takaishikawa/thanks-kaggling-lb-0-990", "kernel_id": "2158828"}, {"ref": "takaishikawa/this-is-a-real-turkey", "kernel_id": "2177007"}, {"ref": "msafi04/gobble-gobble", "kernel_id": "2158094"}, {"ref": "karthik7395/exploratory-data-analysis", "kernel_id": "2164621"}, {"ref": "tauranis/tensorflow-estimator-approach-0-982", "kernel_id": "2182923"}, {"ref": "michaelapers/lstm-starter-notebook", "kernel_id": "2122538"}, {"ref": "smy20011/turkey-sandwich", "kernel_id": "2158824"}, {"ref": "ishootlaser/turkey-is-found", "kernel_id": "2157041"}, {"ref": "edhowler/a-choir-of-turkeys-all-turkeys-mixed-together", "kernel_id": "2168850"}, {"ref": "mirodil/cnn-lb-90", "kernel_id": "2162860"}, {"ref": "kartiksharma522/turkey-spectogram-approach", "kernel_id": "2158800"}, {"ref": "suicaokhoailang/10-fold-lstm-with-attention-0-991-lb", "kernel_id": "2157212"}, {"ref": "joanzaldivar/no-frills-turkey", "kernel_id": "2198478"}, {"ref": "truocpham/oob-cuda-gru-attention", "kernel_id": "2223065"}, {"ref": "nonreviad/some-unfunny-pun-about-thanksgiving-foods", "kernel_id": "2161682"}, {"ref": "nonreviad/gobbling-recurrent-unit", "kernel_id": "2157125"}, {"ref": "fmiyca/hey-that-sounded-like-if-it-was-my-dinner", "kernel_id": "2184869"}, {"ref": "sanket30/cudnnlstm-lstm-99-accuracy", "kernel_id": "2160277"}, {"ref": "winstonvan/let-s-try-transfer-learning-resnet50", "kernel_id": "2192747"}, {"ref": "winstonvan/van-plan-for-kaggle-swaggle", "kernel_id": "2155769"}, {"ref": "theoviel/winner-winner-turkey-dinner-lb-0-990", "kernel_id": "2155540"}, {"ref": "pankajsoni12/turkey-sound-prediction", "kernel_id": "2728449"}, {"ref": "diogomiguelribeiro/2layer-basic-turkeyflow", "kernel_id": "2190146"}, {"ref": "frtgnn/yam-potatoes-thanksgiving-2018", "kernel_id": "2159904"}, {"ref": "deffro/creating-an-extended-dataset-using-youtube-api", "kernel_id": "2156816"}, {"ref": "peterboos/chicken-v2-early-stopping-with-decreasing-lr", "kernel_id": "2161734"}, {"ref": "rishabh1294/turkey", "kernel_id": "2168814"}, {"ref": "dogacandu/identifying-turkey-and-visualizing-via-pca", "kernel_id": "2282785"}, {"ref": "ranfea/turkey-jerky", "kernel_id": "2175946"}, {"ref": "return19/turkey-kernel", "kernel_id": "3709151"}, {"ref": "hafizurrahman/rnn-gru", "kernel_id": "3025848"}, {"ref": "jatinmittal0001/lstm-attention-layer-cross-validation", "kernel_id": "3171408"}, {"ref": "vinaydoshi/calling-turkeys", "kernel_id": "4440214"}, {"ref": "usama88333/finalusama", "kernel_id": "4571022"}, {"ref": "usama88333/winner-winner-turkey-dinner-lb-0-990", "kernel_id": "4485854"}, {"ref": "usama88333/usama", "kernel_id": "4485951"}, {"ref": "waseeqshiekh/finalwaseeq", "kernel_id": "4688500"}, {"ref": "gmtw25/turkey", "kernel_id": "6782260"}, {"ref": "gojiteji/don-t-call-me-turkey", "kernel_id": "7382899"}, {"ref": "chitramdasgupta/turkey-or-not", "kernel_id": "12075279"}, {"ref": "alisapetrova/pytorch-bilstm-turkey-competition", "kernel_id": "49975752"}]}
{"competition_id": "11914", "kernels": []}
{"competition_id": "11947", "kernels": [{"ref": "maxinexiong1212/credit-card-default-prediction-sklearn-xgboost", "kernel_id": "64115057"}]}
{"competition_id": "11951", "kernels": []}
{"competition_id": "11955", "kernels": []}
{"competition_id": "11960", "kernels": []}
{"competition_id": "11972", "kernels": []}
{"competition_id": "11981", "kernels": []}
{"competition_id": "11982", "kernels": [{"ref": "pablomartinezm/ub-politician-tweets-visualization", "kernel_id": "2145215"}, {"ref": "pablomartinezm/ub-politician-tweets-baseline", "kernel_id": "2144806"}]}
{"competition_id": "11988", "kernels": []}
{"competition_id": "11992", "kernels": []}
{"competition_id": "11993", "kernels": []}
{"competition_id": "11994", "kernels": []}
{"competition_id": "11999", "kernels": [{"ref": "aashita/feature-engineering-for-march-madness", "kernel_id": "773118"}, {"ref": "siddharthasharan/eda-and-initial-models", "kernel_id": "2988379"}, {"ref": "duvallwh/ncaa-2k19-starter-kernel-with-graphical-eda", "kernel_id": "2985106"}, {"ref": "raddar/team-power-rankings", "kernel_id": "2960958"}, {"ref": "mtodisco10/a-decade-of-championship-rankings-animated", "kernel_id": "2960730"}, {"ref": "artgor/ncaa-men-s-eda-and-models", "kernel_id": "2956448"}, {"ref": "ashishpatel26/interpretability-of-ml-black-box-model-iml", "kernel_id": "2993104"}, {"ref": "jaseziv83/a-recent-deep-look-at-the-men-s-ncaab", "kernel_id": "2954743"}, {"ref": "jaseziv83/functions-to-tidy-detailed-stats", "kernel_id": "2953831"}, {"ref": "jaseziv83/starter-random-forrest", "kernel_id": "2955119"}, {"ref": "addisonhoward/basic-starter-kernel-ncaa-men-s-dataset-2019", "kernel_id": "2959670"}, {"ref": "addisonhoward/basic-starter-kernel-ncaa-women-s-dataset-2019", "kernel_id": "2959852"}, {"ref": "twdickey43/ncaa-19-tabular", "kernel_id": "2955343"}, {"ref": "ateplyuk/lgbm-str", "kernel_id": "2972170"}, {"ref": "harupy/eda-ncaa-men-s-basketball-stats", "kernel_id": "2999280"}, {"ref": "abhijitbrahme/embedding-ncaa-model", "kernel_id": "2987467"}, {"ref": "jazivxt/courtside-seat-2019m-competitiveness", "kernel_id": "2954746"}, {"ref": "albert2000/march-madness-competition-collect-data", "kernel_id": "2987662"}, {"ref": "gkoundry/rating-teams-using-microsoft-s-trueskill-algorithm", "kernel_id": "3334252"}, {"ref": "joseleiva/massey-s-ordinal-s-ordinals", "kernel_id": "3078152"}, {"ref": "paulreiners/basketball-statistics-101-the-four-factor-model", "kernel_id": "3048155"}, {"ref": "sstrong/createrandombracket", "kernel_id": "3375947"}, {"ref": "dbrout/simulate-tourney-to-optimize-espn-com-submission", "kernel_id": "3104657"}, {"ref": "goodspellr/how-to-score-your-own-predictions-and-more", "kernel_id": "3191520"}, {"ref": "jumenta/maher-v02-prepped-data-modeling-kernel", "kernel_id": "3331188"}, {"ref": "jumenta/maher-march-madness-step-by-step-starter-kernel", "kernel_id": "3259335"}, {"ref": "scirpus/post-facto-mens", "kernel_id": "3557487"}, {"ref": "omniactio/basic-logistic-regression-with-cross-validation", "kernel_id": "3023156"}, {"ref": "pozz13/ncaa-2k19-eda-zion-s-kingdom", "kernel_id": "3008893"}, {"ref": "anose001/2019-march-madness-tournament-predictions", "kernel_id": "3529683"}, {"ref": "erwarner/team-16th-seed", "kernel_id": "3315339"}, {"ref": "sahaydebesh/basic-starter-kernel-ncaa-men-s-dataset-2-e31c6a", "kernel_id": "3054880"}, {"ref": "randomnumb/retrieve-kenpom-ratings-and-match-to-ncaa-data", "kernel_id": "3280108"}, {"ref": "harmeggels/minutes-played-by-player", "kernel_id": "3082689"}, {"ref": "brendanahart/blk-winning-ncaa-2019-basketball-tournament-model", "kernel_id": "3611171"}, {"ref": "akash14/google-march-madness-men-s", "kernel_id": "3327694"}, {"ref": "marginalreturns/ncaam19-create-training-set", "kernel_id": "3232729"}, {"ref": "marginalreturns/logistic-regression-with-elo-ranking-metric", "kernel_id": "3334603"}, {"ref": "utresearch/seeding-strategies-time-for-a-change", "kernel_id": "3257905"}, {"ref": "daswan/simple-glm-and-rf-model-prediction", "kernel_id": "3337054"}, {"ref": "twdickey43/ncaa-19-dataprep", "kernel_id": "3071134"}, {"ref": "alexkaechele/march-madness-2019-predictions", "kernel_id": "3486784"}, {"ref": "travisbuhrow/elo-scenarios-simulator-mens", "kernel_id": "3126504"}, {"ref": "travisbuhrow/elo-scenarios-simulator-womens", "kernel_id": "3126793"}, {"ref": "jmocko/julie-march-madness-notebook", "kernel_id": "3051274"}, {"ref": "jaylew/ncaa2019-mbb", "kernel_id": "3278541"}, {"ref": "bshyammm/starter-seed-analysis-using-plotly", "kernel_id": "3116757"}, {"ref": "bshyammm/starter-advanced-features-model-tune-using-fastai", "kernel_id": "3060146"}, {"ref": "kimnguyenwork/play-by-play-crunch-time-analysis", "kernel_id": "3097052"}, {"ref": "murphydan/conference-realignment-and-tourny-winners", "kernel_id": "3107910"}, {"ref": "hamidhaghshenas/public-score-0-00000", "kernel_id": "3306205"}, {"ref": "matanfreedman/create-average-team-stats", "kernel_id": "3050001"}, {"ref": "njbultman/basketball-for-fantasy-football", "kernel_id": "3000518"}, {"ref": "redfoongus/ncaa-randomforest", "kernel_id": "3073700"}, {"ref": "redfoongus/logistic-regression-using-mean-massey", "kernel_id": "3225771"}, {"ref": "jamesyun17/kernelc275b2ea7b", "kernel_id": "3337832"}, {"ref": "codedchai/seed-score-keras-action", "kernel_id": "3198239"}, {"ref": "adamlouisky/predict-the-next-ncaa-winner-using-svm", "kernel_id": "3207803"}, {"ref": "amank2/ncaa-drafter-ml", "kernel_id": "3296799"}, {"ref": "jonbown/creating-sequential-data-for-random-forest-in-r", "kernel_id": "6799196"}, {"ref": "ngmpala/basic-logistic-regression-with-cross-validation", "kernel_id": "6663644"}, {"ref": "kyrieguo/basic-logistic-regression-with-cross-validation", "kernel_id": "6339048"}, {"ref": "wesleyprestonkrafft/2019-tourney-reexamined", "kernel_id": "9274293"}, {"ref": "santhiyar/day-25", "kernel_id": "20111287"}, {"ref": "selvadharani/day-24", "kernel_id": "20180644"}]}
{"competition_id": "12000", "kernels": [{"ref": "ashishpatel26/interpretability-of-ml-black-box-model-iml", "kernel_id": "2993104"}, {"ref": "addisonhoward/basic-starter-kernel-ncaa-women-s-dataset-2019", "kernel_id": "2959852"}, {"ref": "ateplyuk/lgbm-str-w", "kernel_id": "2972059"}, {"ref": "jazivxt/courtside-seat-2019w-competitiveness", "kernel_id": "2954254"}, {"ref": "thawatt/get-tourney-round", "kernel_id": "3315251"}, {"ref": "scirpus/post-facto", "kernel_id": "3557430"}, {"ref": "hsinwenchang/lgbm-parameter-tuning", "kernel_id": "3111971"}, {"ref": "peacefultransfer/simulate-the-tournament-based-on-your-predictions", "kernel_id": "3347537"}, {"ref": "akash14/google-march-madness", "kernel_id": "3327522"}, {"ref": "akash14/google-cloud-ncaa-ml-competition-2019-women-s", "kernel_id": "3125588"}, {"ref": "jleecook/1st-place-regression-to-projected-mov", "kernel_id": "3561246"}, {"ref": "takaishikawa/no-ml-modeling", "kernel_id": "3525312"}, {"ref": "zachliu/ncaa-2019-menswomenslb", "kernel_id": "3535197"}, {"ref": "jaseziv83/a-very-deep-look-at-the-women-s-ncaa", "kernel_id": "3053499"}, {"ref": "littlesmart/elo-rating-system-for-ncaa-predictions", "kernel_id": "3404505"}, {"ref": "travisbuhrow/elo-scenarios-simulator-womens", "kernel_id": "3126793"}, {"ref": "mshaked/women-ballers", "kernel_id": "3144136"}, {"ref": "mattjburrill/home-court-advantage-weighted-4-factors", "kernel_id": "3388847"}, {"ref": "duketemon/random-forest", "kernel_id": "3030999"}, {"ref": "hamidhaghshenas/public-score-0-000000", "kernel_id": "3317893"}, {"ref": "hamidhaghshenas/adaboostclassifier", "kernel_id": "3089040"}, {"ref": "lavanyadml/google-cloud-ncaa-ml-competition-2019-women-s", "kernel_id": "3231074"}, {"ref": "lavanyadml/google-cloud-ncaa-ml-competition", "kernel_id": "3349098"}, {"ref": "kerimerarslan/kernelfa080fa7d4", "kernel_id": "3264619"}, {"ref": "jupaoqq/ncaaw-prelim", "kernel_id": "3306711"}, {"ref": "wangab/courtside-seat-2019w-competitiveness", "kernel_id": "3332780"}, {"ref": "santhiyar/day-23-task", "kernel_id": "20087101"}]}
{"competition_id": "12007", "kernels": []}
{"competition_id": "12009", "kernels": [{"ref": "narek1110/lightgbm-example", "kernel_id": "3237132"}]}
{"competition_id": "12016", "kernels": [{"ref": "abhishekravi/kernel79fabdc65f", "kernel_id": "10203345"}, {"ref": "lephuankhang/khang-imdb", "kernel_id": "56411138"}, {"ref": "trgthuhg/evaluate-film", "kernel_id": "56335165"}, {"ref": "nguyenduccong301020/notebook9af725148b", "kernel_id": "56420581"}, {"ref": "dotienoanh/oanh-07", "kernel_id": "56308285"}, {"ref": "haimynguyen/notebook77df9f8da6", "kernel_id": "56424570"}, {"ref": "anonminhkhnh/imdb-ankhanh", "kernel_id": "56432926"}, {"ref": "annguyen28/fork-of-notebook86f28612e1", "kernel_id": "56415416"}, {"ref": "annguyen28/notebook86f28612e1", "kernel_id": "56386712"}, {"ref": "vdiuthy/kernel79fabdc65f", "kernel_id": "56283094"}, {"ref": "dungnhi/dungnhi", "kernel_id": "56432877"}, {"ref": "ngoduy1811/imdb-mduy", "kernel_id": "56421646"}, {"ref": "haiyen03/notebook86f28612e1", "kernel_id": "56414446"}, {"ref": "xxelxt/imdb-review", "kernel_id": "56155127"}, {"ref": "ynvytrn/review-classification", "kernel_id": "56324559"}, {"ref": "phmvnt1/notebook128cf1763a", "kernel_id": "56373328"}, {"ref": "phunght03/imdb-review-nphung", "kernel_id": "56321652"}, {"ref": "phmthtuyn/notebook449eca8ffe-u", "kernel_id": "56397151"}, {"ref": "nqmduc/notebook2d321760c9", "kernel_id": "56429205"}, {"ref": "hoangtrungvan/btvn-buoi10", "kernel_id": "56419117"}, {"ref": "phamtramy153/35-ptm-03", "kernel_id": "56396812"}, {"ref": "nhtrnhthlan/imdb-lananh-0-8583", "kernel_id": "56391765"}]}
{"competition_id": "12018", "kernels": []}
{"competition_id": "12020", "kernels": [{"ref": "sodyke/pretrained-model", "kernel_id": "2199968"}, {"ref": "hakymulla/fork-of-hackexpo2018", "kernel_id": "2852736"}]}
{"competition_id": "12040", "kernels": []}
{"competition_id": "12048", "kernels": []}
{"competition_id": "12054", "kernels": []}
{"competition_id": "12061", "kernels": []}
{"competition_id": "12065", "kernels": []}
{"competition_id": "12073", "kernels": [{"ref": "zhouzhuolin/c-randomforest", "kernel_id": "2465873"}, {"ref": "zhouzhuolin/c-tree-py", "kernel_id": "2465895"}, {"ref": "zhouzhuolin/randomforest", "kernel_id": "2465978"}, {"ref": "zhangguobin/zgb-by-randomforestclassifier", "kernel_id": "2472786"}]}
{"competition_id": "12074", "kernels": []}
{"competition_id": "12078", "kernels": [{"ref": "divyabairavarasu/fuga-churn-rate", "kernel_id": "2391357"}, {"ref": "dinamiko/logistic-regression-and-random-forest", "kernel_id": "2407784"}]}
{"competition_id": "12081", "kernels": []}
{"competition_id": "12082", "kernels": []}
{"competition_id": "12083", "kernels": []}
{"competition_id": "12085", "kernels": []}
{"competition_id": "12088", "kernels": []}
{"competition_id": "12089", "kernels": []}
{"competition_id": "12093", "kernels": [{"ref": "brucechen10601053/one-plus-one", "kernel_id": "2225129"}]}
{"competition_id": "12094", "kernels": []}
{"competition_id": "12098", "kernels": []}
{"competition_id": "12102", "kernels": []}
{"competition_id": "12110", "kernels": []}
{"competition_id": "12112", "kernels": []}
{"competition_id": "12114", "kernels": []}
{"competition_id": "12122", "kernels": []}
{"competition_id": "12125", "kernels": [{"ref": "carlineng/nfl-punt-analysis", "kernel_id": "2454943"}, {"ref": "gaborfodor/nfl-rules-wordcloud", "kernel_id": "2340736"}, {"ref": "gaborfodor/don-t-forget-to-watch-the-games", "kernel_id": "2387163"}, {"ref": "gaborfodor/next-gen-stats-by-play", "kernel_id": "2522422"}, {"ref": "gaborfodor/the-speed-the-acceleration-and-the-collision", "kernel_id": "2556551"}, {"ref": "gaborfodor/summary-budapest-pythons", "kernel_id": "2579151"}, {"ref": "hallayang/nfl-punt-analytics-proposal", "kernel_id": "2580810"}, {"ref": "bermudacap/nfl-punt-data-sql-and-vfp-code", "kernel_id": "2553507"}, {"ref": "bermudacap/sql-tables", "kernel_id": "2519134"}, {"ref": "mikeskim/whose-turf-reigns-supreme", "kernel_id": "2561513"}, {"ref": "kmader/previewing-the-games", "kernel_id": "2284690"}, {"ref": "kmader/convert-to-feather-for-use-in-other-kernels", "kernel_id": "2288415"}, {"ref": "predact/nfl-punts-analytics-wait-and-barrier", "kernel_id": "2558877"}, {"ref": "predact/nfl-punts-pv-diagrams-ngs-2016-pre", "kernel_id": "2590418"}, {"ref": "predact/nfl-punts-pv-diagrams-ngs-2016-1-6", "kernel_id": "2594876"}, {"ref": "predact/nfl-punts-position-and-velocity-charts-ngs-7-12", "kernel_id": "2615142"}, {"ref": "youkowhomma/3-punt-play-recommendations", "kernel_id": "2581473"}, {"ref": "chrisadams/punt2-r", "kernel_id": "2446895"}, {"ref": "miguelpm/safer-nfl-information-value-weight-of-evidence", "kernel_id": "2585093"}, {"ref": "ericfreeman/evaluation-of-proposed-punt-rules", "kernel_id": "2587080"}, {"ref": "hamelg/nfl-punt-safety-the-return-safe-zone", "kernel_id": "2369992"}, {"ref": "mcgovey/nfl-punt-analysis-data-output", "kernel_id": "2428329"}, {"ref": "mcgovey/nfl-punt-safety-mcgovern-steussie", "kernel_id": "2428366"}, {"ref": "dave1216/nfl-punt-return-head-injuries", "kernel_id": "2427794"}, {"ref": "bryan18/simple-solutions-to-a-complicated-problem", "kernel_id": "2554678"}, {"ref": "crained/analyzing-nfl-punt-data", "kernel_id": "2314192"}, {"ref": "dandelion1/nfl-punt-analysis", "kernel_id": "2545318"}, {"ref": "jesusdacumajr/nfl-punt-analytics", "kernel_id": "2589804"}, {"ref": "ryurko21/the-yinzers-win-probability-impact-of-rules", "kernel_id": "2590624"}, {"ref": "ryurko21/the-yinzers-directional-analysis", "kernel_id": "2595513"}, {"ref": "oilgorim/nfl-punt-analysis", "kernel_id": "2551924"}, {"ref": "marc28/nfl-punt-analytics-mandate-formation-balance", "kernel_id": "2589909"}, {"ref": "chemicaltoilet/suggestions-to-limit-concussions-on-punts", "kernel_id": "2596373"}, {"ref": "someadityamandal/nfl-data-analysis", "kernel_id": "2348436"}, {"ref": "jpmiller/nfl-data-preparation", "kernel_id": "2532878"}, {"ref": "jpmiller/nfl-punt-play-animation", "kernel_id": "2563701"}, {"ref": "jpmiller/nfl-punt-analytics", "kernel_id": "2561069"}, {"ref": "cbelina/nfl-competition", "kernel_id": "2468196"}, {"ref": "nulldata/whats-with-the-nfl-concussion", "kernel_id": "2340634"}, {"ref": "ktpazder/nfl-punt-competition", "kernel_id": "2570678"}, {"ref": "analyst8/xxxxx", "kernel_id": "2589455"}, {"ref": "analyst8/ss-kaggle-nfl-submission", "kernel_id": "2595901"}, {"ref": "cbonfield/nfl-punt-analytics-competition-cbonfield", "kernel_id": "2535162"}, {"ref": "crawford/nfl-punt-analytics-starter-kernel", "kernel_id": "2283698"}, {"ref": "r2j1d2/nfl-punt-contest-submission", "kernel_id": "2585945"}, {"ref": "mtodisco10/nfl-punt-analytics-gunners-touchbacks", "kernel_id": "2519974"}, {"ref": "mtodisco10/punt-hang-times", "kernel_id": "2427421"}, {"ref": "mtodisco10/speedy-speed-mph-functions", "kernel_id": "2313320"}, {"ref": "madhatter13/punt-rule-change-analysis-touchback-location", "kernel_id": "2553416"}, {"ref": "jessefis/nfl-punt-rule-change-proposal", "kernel_id": "2582329"}, {"ref": "jimkloet/make-animated-plays", "kernel_id": "2446993"}, {"ref": "jimkloet/nfl-punt-analytics-entry-kernel", "kernel_id": "2596082"}, {"ref": "colin33/incentivizing-fair-catches-for-routine-punt-plays", "kernel_id": "2587883"}, {"ref": "robikscube/eda-visualizing-all-concussion-plays", "kernel_id": "2617137"}, {"ref": "robikscube/evolving-the-punt-play-nfl-data-formal-report", "kernel_id": "2404571"}, {"ref": "robikscube/nfl-punt-data-preprocessing-part-1", "kernel_id": "2542253"}, {"ref": "robikscube/nfl-punt-data-preprocessing-ngs-by-event", "kernel_id": "2544800"}, {"ref": "robikscube/nfl-punt-data-preprocessing-ngs-injury-plays", "kernel_id": "2545024"}, {"ref": "robikscube/nfl-punt-data-preprocessing-pos-at-rec", "kernel_id": "2546391"}, {"ref": "robikscube/nfl-punt-data-preprocessing-momentum-risk", "kernel_id": "2553208"}, {"ref": "robikscube/analyzing-nfl-punt-data-starter-notebook-and-eda", "kernel_id": "2286845"}, {"ref": "robikscube/nfl-punt-data-interactive-plots-using-bokeh", "kernel_id": "2381412"}, {"ref": "kpelechrinis/the-yinzers-description", "kernel_id": "2596123"}, {"ref": "kpelechrinis/the-yinzers-base", "kernel_id": "2575859"}, {"ref": "hugo1005/modifying-definition-of-defenceless-players-part-2", "kernel_id": "2568522"}, {"ref": "hugo1005/modifying-definition-of-defenceless-players-part-1", "kernel_id": "2565763"}, {"ref": "svinayak1031/nfl-punt-rule-suggestion-limit-jammers", "kernel_id": "2571484"}, {"ref": "manjeetsingh/awesome-data-science-with-nfl-punt-analytics", "kernel_id": "2486065"}, {"ref": "hoff24/nfl-punt-analytics", "kernel_id": "2590904"}, {"ref": "kkillion43/nfl-punt-analytics-spectral-clustering", "kernel_id": "2599293"}, {"ref": "adam1brownell/punt-concussions", "kernel_id": "2429957"}, {"ref": "jeffspov/nfl-punt-analytics", "kernel_id": "2590294"}, {"ref": "akosciansky/how-to-import-large-csv-files-and-save-efficiently", "kernel_id": "2284389"}, {"ref": "arunkumarramanan/ds-and-ml-cheatsheets-with-iris-classification", "kernel_id": "2480573"}, {"ref": "daniellim2016/nfl-punt-analysis-animated-play-graphs-with-speed", "kernel_id": "2584155"}, {"ref": "wstewart3/nfl-punt-analytics-eliminate-peel-back-blocks", "kernel_id": "2571260"}, {"ref": "awainger/analysis", "kernel_id": "2592515"}, {"ref": "awainger/preprocessing", "kernel_id": "2580746"}, {"ref": "takaishikawa/proposal-note-by-tak", "kernel_id": "2594484"}, {"ref": "fengjianshi/nfl-punt-plays-analytics-injury-risk-factors", "kernel_id": "2576305"}, {"ref": "jmbishop/penalize-all-blindside-blocks", "kernel_id": "2526139"}, {"ref": "mathfour/nfl-game-data-dictionary-creation-code", "kernel_id": "2438578"}, {"ref": "bgonth1/nfl-punt-analytics-bgonth-1-9-submission-7", "kernel_id": "2597381"}, {"ref": "tamthdo/less-returns-less-concussions", "kernel_id": "2597547"}, {"ref": "cuberti/nfl-punt-analytics-in-r", "kernel_id": "2323112"}, {"ref": "returnofsputnik/corey-eda", "kernel_id": "2285063"}, {"ref": "returnofsputnik/variables-that-are-correlated-with-concussions", "kernel_id": "2285334"}, {"ref": "returnofsputnik/what-s-the-difference-between-the-3-video-csv-s", "kernel_id": "2302240"}, {"ref": "cesarjaitmanlabaton/nfl-punt-analysis", "kernel_id": "2693034"}, {"ref": "mccarthypm/fair-catch-incentive-based-on-punt-location", "kernel_id": "2597681"}, {"ref": "andrewr0498/nfl-punt-analytics-competition", "kernel_id": "2590224"}, {"ref": "felipemartinezs/play-details-as-a-function-of-time-during-the-play", "kernel_id": "2545748"}, {"ref": "jsaltz/nfl-analysis-punting", "kernel_id": "2536360"}, {"ref": "nceneviva/concussion-on-punts-analysis", "kernel_id": "2597586"}, {"ref": "jdemeo/nfl-punt-return-analysis", "kernel_id": "2514442"}, {"ref": "jdemeo/ngs-animations", "kernel_id": "2546022"}, {"ref": "jdemeo/analysis-concussions", "kernel_id": "2587007"}, {"ref": "jdemeo/analysis-fair-catches", "kernel_id": "2578779"}, {"ref": "jdemeo/analysis-punt-returns", "kernel_id": "2579096"}, {"ref": "jdemeo/preprocessing-punt-play", "kernel_id": "2577581"}, {"ref": "jdemeo/preprocessing-ngs", "kernel_id": "2577489"}, {"ref": "jdemeo/analysis-uncalled-penalties", "kernel_id": "2573449"}, {"ref": "jdemeo/nfl-concussion-video-analysis", "kernel_id": "2484764"}, {"ref": "csmith48/extracting-data-from-play-description", "kernel_id": "2554956"}, {"ref": "gregalytics/minimizing-concussions-on-punt-blocks", "kernel_id": "2581036"}, {"ref": "gregalytics/using-gganimate-and-ggplot-to-evaluate-concussions", "kernel_id": "2597277"}, {"ref": "garlsham/nfl-punt-rule-changes-interactive-plots", "kernel_id": "2429829"}, {"ref": "rishpande/nfl-punt-data-analysis", "kernel_id": "2303202"}, {"ref": "sp007c/sergei-s-proposal-for-nfl-rule-change", "kernel_id": "2578945"}, {"ref": "cedricdamien/nfl-competition", "kernel_id": "2559997"}, {"ref": "travisbuhrow/the-fair-catch-advancement-rule", "kernel_id": "2383929"}, {"ref": "mzaret2000/nfl-punt-rmarkdown", "kernel_id": "2590679"}, {"ref": "slamer/reducing-memory-usage-of-large-csv-data", "kernel_id": "2361977"}, {"ref": "slamer/speed-calculation-quick", "kernel_id": "2372818"}, {"ref": "matthewlandes/nfl-punt-contest-january-2019", "kernel_id": "2596520"}, {"ref": "econdata/nfl-punt-analytics", "kernel_id": "2674346"}, {"ref": "econdata/nfl-punt-analytics-6828be", "kernel_id": "2674458"}, {"ref": "econdata/nfl-punt-analytics-proposal", "kernel_id": "2674483"}, {"ref": "econdata/nfl-punt-analytics-competition-2018", "kernel_id": "2596375"}, {"ref": "juliqchen/nfl-punt-analytics-competition-kernel-submission", "kernel_id": "2560833"}, {"ref": "pohetsn/blocking-direction-that-leads-to-concussion", "kernel_id": "2583396"}, {"ref": "pohetsn/increase-fair-catch-to-reduce-concussion", "kernel_id": "2578528"}, {"ref": "strangemane/nfl-punt-analytics-and-rule-change-recommendations", "kernel_id": "2597721"}, {"ref": "dannyk2018/nfl-analysis-final", "kernel_id": "2595660"}, {"ref": "ijperron/nfl-punt-analytics-perron-jones", "kernel_id": "2590485"}, {"ref": "gibsonem27/making-simple-gifs-of-each-play-lower-memory", "kernel_id": "2596384"}, {"ref": "sureshsuri/kickoff-analysis", "kernel_id": "2584159"}, {"ref": "kasmithh/nfl-punt-eda", "kernel_id": "2371020"}, {"ref": "oppenhe/location", "kernel_id": "2406372"}, {"ref": "wc8511/punt-wc8511-eda", "kernel_id": "2453700"}, {"ref": "plumeria/analysis-of-nfl", "kernel_id": "2579941"}, {"ref": "liamdcollins/slower-defenders-make-safer-plays", "kernel_id": "2596311"}, {"ref": "liamdcollins/get-player-speeds", "kernel_id": "2562963"}, {"ref": "piyush1912/an-indian-analysing-american-football", "kernel_id": "2344048"}, {"ref": "divyeshardeshana/nfl-punt-player-data-analysis-with-graphs-table", "kernel_id": "2467435"}, {"ref": "legalbiguy/nfl-punt-concussion-approximate-entropy-analysis", "kernel_id": "2543048"}, {"ref": "gvarbex/nfl-punt-analytics-competition", "kernel_id": "2594850"}, {"ref": "tmunyanyi22/nfl-punt-analytics-data-exploration-part-2", "kernel_id": "2477156"}, {"ref": "tmunyanyi22/starting-the-nfl-punt-analytics-comp", "kernel_id": "2368237"}, {"ref": "mwest500/x-y-data-for-players-at-the-snap", "kernel_id": "2538088"}, {"ref": "nateweller/nfl-analytics-punt-rule-changes-proposal", "kernel_id": "2552786"}, {"ref": "cjbecerr/nfl-punt-play-concussion-analysis", "kernel_id": "2546505"}, {"ref": "nigro97/nfl-punt-concussion-analytics-returnteamformation", "kernel_id": "2590697"}, {"ref": "philwe/nfl-punt-analytics-competition", "kernel_id": "2595574"}, {"ref": "peterkransz/nfl-analysis-known-injuries", "kernel_id": "2497091"}, {"ref": "peterkransz/nfl-analysis-control-plays", "kernel_id": "2504168"}, {"ref": "pattyt23/nfl-punt-analytics-competition", "kernel_id": "2583891"}, {"ref": "pnxenopoulos/nyu-submission", "kernel_id": "2597136"}, {"ref": "pluto1717/nfl-punt-analytics-starter-kernel", "kernel_id": "2554238"}, {"ref": "kenjirot/nfl-punt-analysis", "kernel_id": "2562924"}, {"ref": "premagash/analysis-of-nfl-game", "kernel_id": "2574416"}, {"ref": "rmmonk/nfl-punt-analytics-submission-user-rmmonk", "kernel_id": "2418095"}, {"ref": "s903124/nfl-punt-analytic-with-suggested-rule-change", "kernel_id": "2458636"}, {"ref": "s903124/effect-of-box-defender-and-overload-defender", "kernel_id": "2462550"}, {"ref": "s903124/manually-logging-time-of-concussion", "kernel_id": "2296201"}, {"ref": "mdolres/nfl-rule-change-competition-mdolr", "kernel_id": "2460278"}, {"ref": "mellamomark/nflpuntanalytics-datacleaning", "kernel_id": "2514823"}, {"ref": "mellamomark/nfl-punt-analytics-combining-ngs-datasets", "kernel_id": "2514120"}, {"ref": "mellamomark/nfl-punt-analytics-analysis-code-r", "kernel_id": "2591164"}, {"ref": "mellamomark/nfl-punt-analytics-fair-catch-or-it-s-a-wrap", "kernel_id": "2582308"}, {"ref": "mellamomark/nfl-punt-analytics-data-analysis-plan", "kernel_id": "2582872"}, {"ref": "rachelanddata/nfl-punt-returns-concussions", "kernel_id": "2589401"}, {"ref": "favitor/a-brief-and-not-so-good-kernel", "kernel_id": "2587924"}, {"ref": "danielpmcmaster/nfl-punt-analysis-mcmaster", "kernel_id": "2595747"}, {"ref": "tombliss/preprocessing", "kernel_id": "2322996"}, {"ref": "zimzimzimmerman/newbie-with-play-formation-insights", "kernel_id": "2455471"}, {"ref": "thekramer2000/a-detailed-look-at-nfl-punts-and-player-safety", "kernel_id": "2597050"}, {"ref": "rklobus/the-sherwood-rule", "kernel_id": "2577836"}, {"ref": "rkkamp/nfl-challenge-analysis", "kernel_id": "2546014"}, {"ref": "coakeson/watch-the-videos-showing-injury", "kernel_id": "2331299"}, {"ref": "brainjohnson/nfl-punt-analytics-competition", "kernel_id": "2446241"}, {"ref": "pgiles/kernel17d254e78b", "kernel_id": "2579862"}, {"ref": "mcho12/example-punt-play-with-delayed-gunner-start", "kernel_id": "2597520"}, {"ref": "mcho12/exploratory-data-analysis", "kernel_id": "2597361"}, {"ref": "sydwhite/nfl-punt-analytics", "kernel_id": "2536466"}, {"ref": "alexislyons/weighing-in-to-scale-back-concussions", "kernel_id": "2596947"}, {"ref": "swagdude2/illegal-punt-formation-rule-enhancements-defense", "kernel_id": "2597607"}, {"ref": "alexgs8/my-punt-analysis", "kernel_id": "2475807"}, {"ref": "ffrog12/reduce-the-punt-as-concussions-are-hard-to-predict", "kernel_id": "2596200"}, {"ref": "doraflara/nfl-simplistic-analysis", "kernel_id": "2578441"}, {"ref": "awelsh/nfl-punts-we-be-jammin-a-little-less", "kernel_id": "2597133"}, {"ref": "seenconnors/nfl-punt-analytics-competition-practice", "kernel_id": "2555494"}, {"ref": "ceckersley17/a-concussion-researcher-s-perspective", "kernel_id": "2586029"}, {"ref": "jakeonkaggle/improving-player-safety-v2", "kernel_id": "2597388"}, {"ref": "lhd0430/dsfg-nfl-punt-analytics", "kernel_id": "5676878"}, {"ref": "s903124/puntcnn", "kernel_id": "7234897"}, {"ref": "alexcunningham1991/punt-analysis", "kernel_id": "11355587"}, {"ref": "sayyazahmad/nfl-punt-analysis", "kernel_id": "16187755"}, {"ref": "jdruzzi/generating-detailed-punt-positions", "kernel_id": "22823101"}, {"ref": "maartenmagchiels/evolving-the-punt-play-nfl-data-formal-report", "kernel_id": "34831476"}, {"ref": "shivamsakolia/data-visualization-of-nfl-game-data", "kernel_id": "55800846"}]}
{"competition_id": "12133", "kernels": [{"ref": "opanichev/lightgbm-and-simple-features", "kernel_id": "2384020"}, {"ref": "mithrillion/enigma-was-gimped-by-weather-reports", "kernel_id": "2411125"}, {"ref": "lbronchal/don-t-waste-your-time-decrypting-the-texts", "kernel_id": "2414147"}, {"ref": "lbronchal/without-breaking-ciphers-0-48-lb", "kernel_id": "2429845"}, {"ref": "delayedkarma/some-basic-explorations-lgb-baseline", "kernel_id": "2389320"}, {"ref": "rahulvks/logistic-regression-word-char", "kernel_id": "2418216"}, {"ref": "sunhwan/google-sentencepiece", "kernel_id": "2620175"}, {"ref": "georsara1/no-meta-data-only-an-lstm-on-ciphertext", "kernel_id": "2414768"}, {"ref": "rturley/a-first-crack-tools-tips-3-cipher-solutions", "kernel_id": "2418498"}, {"ref": "a45632/classification-tfidf-svm-2-0", "kernel_id": "2478554"}, {"ref": "ashishpatel26/ensemble-learning-for-beginner-to-advance", "kernel_id": "2484600"}, {"ref": "ashishpatel26/everything-you-want-to-know-about-20-ngctc", "kernel_id": "2462471"}, {"ref": "ashishpatel26/stratified-kfold-hyperparameter-tuning", "kernel_id": "2424509"}, {"ref": "ashishpatel26/attension-layer-basic-for-nlp", "kernel_id": "2547878"}, {"ref": "ashishpatel26/beginner-to-intermediate-nlp-tutorial", "kernel_id": "2261738"}, {"ref": "anermakov/4-logits-for-different-difficulties-on-tf-idf", "kernel_id": "2644494"}, {"ref": "ajithvallabai/without-breaking-ciphers-0-48-lb", "kernel_id": "2448721"}, {"ref": "ajithvallabai/cipher-text-challange", "kernel_id": "2448209"}, {"ref": "returnofsputnik/cipher-template-kernel-r", "kernel_id": "2408640"}, {"ref": "hamishdickson/first-attempt", "kernel_id": "2407843"}, {"ref": "ananthu017/classification-tfidf-logistic", "kernel_id": "2389433"}, {"ref": "suicaokhoailang/one-model-for-each-difficulty-0-3691-lb", "kernel_id": "2401057"}, {"ref": "leflal/cipher-4-solution", "kernel_id": "2533348"}, {"ref": "leflal/you-cannot-avoid-multiple-targets", "kernel_id": "2505535"}, {"ref": "leflal/cipher-1-2-3-exact-matching-targets", "kernel_id": "2512596"}, {"ref": "leflal/cipher-3-solution", "kernel_id": "2489829"}, {"ref": "leflal/cipher-1-cipher-2-full-solutions", "kernel_id": "2418541"}, {"ref": "interneuron/difficulty-1-deciphering-wip", "kernel_id": "2391440"}, {"ref": "kaggleuser58/1-char-decryption-in-level-1-2-and-3-gives-98-85", "kernel_id": "2578353"}, {"ref": "jazivxt/enigma-layers-template", "kernel_id": "2385044"}, {"ref": "amansohane/level-3-with-partial-deciphering-0-94-level-3", "kernel_id": "2456410"}, {"ref": "acauveri/encryption-nlp", "kernel_id": "3216877"}, {"ref": "gipark2001/one-model-for-each-difficulty", "kernel_id": "5184722"}, {"ref": "n0rm41/let-s-have-fun", "kernel_id": "14297524"}, {"ref": "sidsaif/beginner-to-intermediate-nlp-tutorial", "kernel_id": "16647694"}]}
{"competition_id": "12142", "kernels": []}
{"competition_id": "12146", "kernels": []}
{"competition_id": "12152", "kernels": []}
{"competition_id": "12167", "kernels": [{"ref": "nwkerr/kernel099dd4ada0", "kernel_id": "2328416"}]}
{"competition_id": "12168", "kernels": [{"ref": "fgjiutx/introduction", "kernel_id": "2261533"}]}
{"competition_id": "12171", "kernels": []}
{"competition_id": "12176", "kernels": [{"ref": "imron1/mlcourse-ai-assignment10-flight-delays", "kernel_id": "2394968"}, {"ref": "jaykumar/flightdelays-visual-exploration-using-plotly", "kernel_id": "3585251"}, {"ref": "rohitgr/lgbm-bayesianoptimization-eda", "kernel_id": "3399984"}, {"ref": "kozlowladimir/flight-delay", "kernel_id": "3324182"}, {"ref": "kashnitsky/mlcourse-ai-fall-2019-catboost-starter", "kernel_id": "5704350"}, {"ref": "wagenod2017/mlcourse-ai-fall-2019-catboost-starter", "kernel_id": "5946734"}, {"ref": "romanrush/mlcourse-ai-fall-2019-catboost-starter", "kernel_id": "5921255"}, {"ref": "nogayev/mlcourse-ai-fall-2019-catboost-starter", "kernel_id": "5861761"}, {"ref": "kashnitsky/mlcourse-ai-fall-2019-catboost-starter-with-gpu", "kernel_id": "6074718"}, {"ref": "santhoshram/mlcourse-ai-fall-2019-catboost-starter-santhos", "kernel_id": "6056310"}, {"ref": "hoangtrungnghiabn/mlcourse-ai-fall-2019-catboost-nghia-draft2", "kernel_id": "6076379"}, {"ref": "purplejester/simplified-data-pipeline-and-parameters-tuning", "kernel_id": "6126716"}, {"ref": "emstrakhov/mlcourse-ai-fall-2019-catboost-starter", "kernel_id": "6005085"}, {"ref": "sindhhuu/mlcourse-ai-fall-2019-catboost-starter", "kernel_id": "6065676"}, {"ref": "govindsavara/mlcourse-ai-fall-2019-catboost-starter", "kernel_id": "6112139"}, {"ref": "kirill21005/mlcourse-ai-fall-2019-catboost-starter", "kernel_id": "6073506"}, {"ref": "mobelahcen/flight-delay", "kernel_id": "8015978"}, {"ref": "sohommajumder21/flight-delay-using-catboost-beginner-friendly", "kernel_id": "9365336"}, {"ref": "ainurmakhmet/fork-of-mlcourse-ai-fall-2019-catboost-starter", "kernel_id": "11179169"}, {"ref": "charlesaverill/keras-implementation", "kernel_id": "11264194"}, {"ref": "ahmedomar42/flight-delays-eda", "kernel_id": "11002950"}, {"ref": "alexcei/baseline-with-catboost", "kernel_id": "12090675"}, {"ref": "sgdread/mlcourse-ai-fall-2019-autogluon-starter", "kernel_id": "13370910"}, {"ref": "mustang007/ai-flight-delay", "kernel_id": "13468636"}, {"ref": "haithemlamri/flight-delays", "kernel_id": "19584831"}, {"ref": "karelvandendriessche/flight-delays-with-cobra", "kernel_id": "23384032"}, {"ref": "dosidhruv/deep-learning-implementation-with-keras", "kernel_id": "43000612"}, {"ref": "kanchannaval/flight-delays-notebook", "kernel_id": "59257154"}, {"ref": "ankandebnath/mlcourse-ai-flight-delays", "kernel_id": "61303857"}, {"ref": "chrisstarsky/flight-forecast", "kernel_id": "62729163"}, {"ref": "nafras/notebookdbd739ae24", "kernel_id": "63496717"}, {"ref": "nafras/notebook7624f186ed", "kernel_id": "63495168"}, {"ref": "nafras/notebookd11c5208e3", "kernel_id": "63498234"}, {"ref": "vishnupriyagarige/flight-delays-classification", "kernel_id": "63605298"}, {"ref": "akmalyaasir/flight-delays", "kernel_id": "63502222"}, {"ref": "albertadiwangsyah/mlcourse-ai-flight-delay-prediction", "kernel_id": "63137258"}, {"ref": "ouside/based-on-xgboost-lightgbm-flight-delays", "kernel_id": "63016287"}, {"ref": "uom23mlmsc239312k/flight-delay-prediction", "kernel_id": "63989433"}, {"ref": "jsultanah/flight-delays", "kernel_id": "64922501"}, {"ref": "madushankarunarathna/flightdelay-uom23mlmsc209342a", "kernel_id": "64343602"}, {"ref": "sameeramadumal/mini-project-flights-delay-sam", "kernel_id": "64262014"}, {"ref": "sirajmsm/239338u-mini-project-ml", "kernel_id": "64185272"}, {"ref": "uom23mlmsc239323u/notebook68143c1be3", "kernel_id": "64151923"}, {"ref": "uom24mlmsc248213j/code01", "kernel_id": "64215671"}, {"ref": "uom24mlmsc248213j/code-eda", "kernel_id": "64216284"}, {"ref": "uom23mlmsc248269j/miniproject-cs5621", "kernel_id": "64196530"}, {"ref": "uom23mlmsc248271h/uom23mlmsc248271h-flightdelay", "kernel_id": "64191029"}, {"ref": "jankuper192/flight-delay", "kernel_id": "65739579"}, {"ref": "anmatngu/flight-delays", "kernel_id": "65031941"}, {"ref": "kimhoogenboom/will-airline-ruin-life-today", "kernel_id": "67068861"}, {"ref": "antipenkosergey/notebook3e5344241c", "kernel_id": "67338303"}, {"ref": "ashioyajotham/flight-delays-2018", "kernel_id": "71715660"}, {"ref": "onesinustamba/mlcourse-ai-flight-delays-ones", "kernel_id": "71451953"}, {"ref": "timaev/flightdelaystim-v3-0-0", "kernel_id": "71845607"}, {"ref": "k4ilham/flight-delays-machine-learning", "kernel_id": "74670828"}, {"ref": "yongjun04/predict-flights-delay", "kernel_id": "76886135"}, {"ref": "vnniciusgabriel/flight-delay-classification", "kernel_id": "76793073"}, {"ref": "hanzeruiooo/special-encoding-method-0-72527", "kernel_id": "77111346"}, {"ref": "luiscrmartins/flight-delay-prediction-using-random-forest", "kernel_id": "78307032"}, {"ref": "luiscrmartins/flight-delay-prediction-using-xgboost", "kernel_id": "78447610"}, {"ref": "luiscrmartins/flight-delay-prediction-using-logistic-regression", "kernel_id": "78399906"}, {"ref": "luiscrmartins/flight-delay-prediction-using-lightgbm", "kernel_id": "78582326"}, {"ref": "adasken/autogluon-flight-delay", "kernel_id": "78860515"}, {"ref": "abdullahtauseef2003/mlcourse-ai-flight-delays-81-7-lightgbm", "kernel_id": "79415944"}, {"ref": "lele25811/mlcourse-ai-flight-delays", "kernel_id": "83398016"}, {"ref": "qifeihhh666/flight-delays-xgboost", "kernel_id": "85884124"}, {"ref": "taylorsamarel/flight-delay-2-0-remix", "kernel_id": "93054338"}, {"ref": "yogendrabs/flight-delays", "kernel_id": "105945105"}, {"ref": "hmnshudhmn24/mlcourse-ai-flight-delays-score-0-73747", "kernel_id": "105750975"}, {"ref": "ivanlyjin/notebookab972d35310", "kernel_id": "124627495"}, {"ref": "mrlokit/flight-delays", "kernel_id": "124507245"}, {"ref": "frogabsolute/notebook5f69395499", "kernel_id": "124691585"}, {"ref": "flipoper0/notebook68c3fd8a1c", "kernel_id": "124551772"}, {"ref": "nuanuo/notebook691db34945", "kernel_id": "124697240"}, {"ref": "wwssaa2007/notebookb7e839c1b7", "kernel_id": "124762563"}, {"ref": "okarin987/notebook28de9a82b3", "kernel_id": "124802820"}, {"ref": "rahatskiyyy/notebook828916769a", "kernel_id": "124672256"}, {"ref": "danilromanov00/notebook25e7889d9c", "kernel_id": "124683942"}, {"ref": "drromanjiooo/notebook07213c0aaa", "kernel_id": "124788905"}, {"ref": "ramilgaianov/notebookbd4c5d9fd7", "kernel_id": "124690602"}, {"ref": "wexwexwexexe/notebook25fcffabb4", "kernel_id": "124776899"}, {"ref": "skulkovdaniil/mmz-practice-skulkov-daniil", "kernel_id": "124758956"}, {"ref": "knaklzzz/notebook8d258ce4f4", "kernel_id": "124822932"}, {"ref": "sabsder/notebook470edc61f4", "kernel_id": "124883486"}, {"ref": "hzerooo/mmz-practica-bogdanov-stanislav", "kernel_id": "124885515"}, {"ref": "dmitriychernyakov/notebookb53d483d6a", "kernel_id": "124886562"}, {"ref": "kobesito/notebookfe66c1e996", "kernel_id": "124909068"}, {"ref": "nikitakorjavin/mmz-practice-korjavin-nikita", "kernel_id": "124943192"}, {"ref": "edvardtorch/kka-mmz-ultramegapractica", "kernel_id": "124950424"}, {"ref": "kalepkiroton/hmelevvladimirpracticemmz", "kernel_id": "125306204"}, {"ref": "scrap263/notebookbe71384323", "kernel_id": "125172530"}, {"ref": "fofanovandrei/flight-delays-fall-2018", "kernel_id": "125353905"}, {"ref": "wextnii/flightdelays", "kernel_id": "125022164"}, {"ref": "alevirex/mmz-practice-ivanov-alexander", "kernel_id": "125059948"}, {"ref": "windsad/practice-miheev-sergey", "kernel_id": "125151197"}, {"ref": "vovaniy/notebookcc359612ad", "kernel_id": "125154409"}, {"ref": "vampir133/notebook6eb26399d9", "kernel_id": "125168717"}, {"ref": "gotchi1/mmz-ivanova-glazunova", "kernel_id": "125169032"}, {"ref": "kseniapoltaeva/notebook6d80ff478f", "kernel_id": "125174834"}, {"ref": "leskp123/notebook045791d0f7", "kernel_id": "125182034"}, {"ref": "loading0/notebook9f1cc3f97b", "kernel_id": "125184408"}, {"ref": "nailkhairullin/mmz-nail-khairullin", "kernel_id": "125197142"}, {"ref": "kirille1/notebook324d4eabe5", "kernel_id": "125215760"}, {"ref": "kirillkozlov633/notebook80237f2ca2", "kernel_id": "125318988"}, {"ref": "timofeykrylov1/notebook1c3bca6ff3", "kernel_id": "125306442"}, {"ref": "mrforcerblack/notebookd1645a2b56", "kernel_id": "125316401"}, {"ref": "zuncun/mmz-practice-novoselov-alexandr", "kernel_id": "125421649"}]}
{"competition_id": "12178", "kernels": []}
{"competition_id": "12187", "kernels": []}
{"competition_id": "12208", "kernels": []}
{"competition_id": "12223", "kernels": [{"ref": "ducklover/int-einfache-klassifikation", "kernel_id": "2395950"}, {"ref": "gsenkowski/simple-classifier", "kernel_id": "2338005"}, {"ref": "horizonaut/einfache-klassifikation", "kernel_id": "2347659"}, {"ref": "agwn1819/agwn-ki-whs-ws18", "kernel_id": "2347734"}, {"ref": "tatlju/int18-whs-classify-simple-data-lju", "kernel_id": "2336278"}, {"ref": "nonose/int-klassifizieren-mit-knn-ws18", "kernel_id": "2325884"}, {"ref": "yunisu/linear-svc-aufgabe-3", "kernel_id": "2359248"}, {"ref": "phoihoanguyen/int-aufgabe-3-4-klassifizierung-mit-knn", "kernel_id": "2397636"}, {"ref": "th0sch/int-whs-classification", "kernel_id": "2341420"}, {"ref": "lexyschmitz/decision-tree", "kernel_id": "2347810"}, {"ref": "pwuerz/int-praktikum-04", "kernel_id": "2427605"}, {"ref": "felixsatt/int-simple-knn-from-scratch", "kernel_id": "2348223"}, {"ref": "lenavolbach/int18-einfache-klassifikation", "kernel_id": "2347287"}, {"ref": "jennifera/einfache-punktklassifikation-mit-svm-int18", "kernel_id": "2318321"}, {"ref": "maasda/int-klassifizieren-mit-knn-ws18", "kernel_id": "2329314"}, {"ref": "karmikaramell/point-classification-in-class", "kernel_id": "2336300"}, {"ref": "dominik10041991/fork-of-int-prak-3", "kernel_id": "2347255"}, {"ref": "nildarr/problem-2-forest-visualization", "kernel_id": "2389787"}, {"ref": "nildarr/problem-1-forest-visualization", "kernel_id": "2387041"}, {"ref": "toegelmachine/int-klassifizieren-mit-knn", "kernel_id": "2361186"}, {"ref": "kaisab/int-klassifizieren-mit-knn-ws18", "kernel_id": "2347268"}, {"ref": "arturl/int-klassifizieren-betrag", "kernel_id": "2347779"}, {"ref": "arturl/int-klassifizieren-centroid-ws18", "kernel_id": "2341242"}, {"ref": "spiderschein/int-classification", "kernel_id": "2340371"}, {"ref": "ne75680/int-knn-klassifizierung-aufgabe-3", "kernel_id": "2347322"}]}
{"competition_id": "12232", "kernels": [{"ref": "kowaalczyk/catboost", "kernel_id": "2444974"}, {"ref": "mkfilipiuk/final-submission", "kernel_id": "2419590"}]}
{"competition_id": "12233", "kernels": []}
{"competition_id": "12234", "kernels": []}
{"competition_id": "12236", "kernels": []}
{"competition_id": "12245", "kernels": [{"ref": "umairalam/a-walk-through-to-pytorch-lenet-5-classification", "kernel_id": "21102745"}]}
{"competition_id": "12270", "kernels": []}
{"competition_id": "12292", "kernels": []}
{"competition_id": "12305", "kernels": []}
{"competition_id": "12307", "kernels": []}
{"competition_id": "12313", "kernels": []}
{"competition_id": "12327", "kernels": []}
{"competition_id": "12329", "kernels": [{"ref": "georgepar/data-loading", "kernel_id": "2378458"}, {"ref": "georgepar/pretraining-spectrogram-cnn-on-imagenet", "kernel_id": "3077077"}, {"ref": "harshvardhan26/pretraining-spectrogram-cnn-on-imagenet", "kernel_id": "26247088"}]}
{"competition_id": "12335", "kernels": [{"ref": "kweningj/densenet161-model", "kernel_id": "2382997"}, {"ref": "amir22010/testing-a-flower-classifier", "kernel_id": "2586275"}, {"ref": "shaam92/testing-a-flower-classifier-03c60f", "kernel_id": "2619548"}, {"ref": "shaam92/kernel99e900666a", "kernel_id": "2635013"}, {"ref": "kuzand/testing-a-flower-classifier", "kernel_id": "2570125"}, {"ref": "timsonrisa/flower-classifier-testing-the-trained-model", "kernel_id": "2541726"}, {"ref": "knrd11/submission-kernel-for-oxford-102-flower", "kernel_id": "2936052"}, {"ref": "nachiket273/flower-classification-lookahead-radam", "kernel_id": "4885744"}, {"ref": "dipuk0506/pytorch-transfer-learning-oxford-102", "kernel_id": "12465269"}, {"ref": "dipuk0506/pytorch-transfer-learning-oxford-102-2-layer-fc", "kernel_id": "13296604"}, {"ref": "chiakiphan/fork-of-notebook94952957c4", "kernel_id": "32838985"}, {"ref": "shadowhat/exercise-flower-classification-with-efnet-gpu", "kernel_id": "32517698"}, {"ref": "daeseung/pytorch-model-not-good", "kernel_id": "36504045"}, {"ref": "atrlkwqr/exercise-oxford-102-flower", "kernel_id": "36748326"}, {"ref": "dipuk0506/oxford102-with-background", "kernel_id": "38749576"}, {"ref": "todisoanirinamickael/pytorch-transfer-learning-oxford-102-2-layer-fc", "kernel_id": "48086905"}, {"ref": "viathorr/pytorch-resnet-50-transfer-learning-flowers", "kernel_id": "74091571"}, {"ref": "davidmonroe/pytorch-resnet-50-transfer-learning-flowers", "kernel_id": "79442783"}, {"ref": "timothylovett/flower-102-tinyml-70k-params", "kernel_id": "91734586"}]}
{"competition_id": "12343", "kernels": []}
{"competition_id": "12349", "kernels": [{"ref": "psystat/titanic-lightgbm-modeling-with-r", "kernel_id": "2876691"}, {"ref": "lifesailor/xgboost", "kernel_id": "2710951"}, {"ref": "unerue/genetic-programming", "kernel_id": "2782430"}, {"ref": "toastls93/use-tomek-in-r", "kernel_id": "2628965"}, {"ref": "pvalueauckland/logistic-regression-xgboost-and-random-forest-r", "kernel_id": "2398636"}, {"ref": "youhanlee/youhan-s-baseline", "kernel_id": "2379390"}, {"ref": "sukhyun9673/oof-voting-ensemble", "kernel_id": "2672140"}, {"ref": "sukhyun9673/kernal-1-simple-modeling-from-scratch", "kernel_id": "2548296"}, {"ref": "choonje/simple-model-works-fine", "kernel_id": "2530685"}, {"ref": "peteryoo/data-pre-processing", "kernel_id": "2895740"}, {"ref": "yoom325/stacked-ensemble-with-k-fold-cross-validation", "kernel_id": "2582398"}, {"ref": "yoom325/convolutional-neural-network-1d-by-dummy", "kernel_id": "2607242"}, {"ref": "yoom325/neural-network-with-r-keras", "kernel_id": "2608566"}, {"ref": "kwonyoung234/tie-tanic", "kernel_id": "2616398"}, {"ref": "taeyoukim/tae-s-eda-for-fun", "kernel_id": "2886063"}, {"ref": "lsjsj92/kaggle-titanic-for-beginners-like-me", "kernel_id": "2516877"}, {"ref": "easter3163/i-love-ensemble", "kernel_id": "2779387"}, {"ref": "daehungwak/guide-kor-dg", "kernel_id": "2610846"}, {"ref": "jcruxsu/kakr-2019-1st-changwon-titanic-competition", "kernel_id": "2524326"}, {"ref": "janged/kerasclassifier", "kernel_id": "2638666"}, {"ref": "uiandwe/uiandwe-2019-01-25", "kernel_id": "2720751"}, {"ref": "leeyj0511/stevelee-2nd-commit", "kernel_id": "2938145"}, {"ref": "leeyj0511/1st-test-yj", "kernel_id": "2590464"}, {"ref": "redhorse93/r-titanic-data", "kernel_id": "2842953"}, {"ref": "rightstone/test1", "kernel_id": "2590863"}, {"ref": "pearljamlove/xgboost-mlp", "kernel_id": "2763630"}, {"ref": "whoareyou420/titanic-ml-trial01", "kernel_id": "2602280"}, {"ref": "everystep/keras", "kernel_id": "2533676"}, {"ref": "tompx7564/pytorch", "kernel_id": "2911977"}, {"ref": "maestroyi/kako-titanic-data-0312", "kernel_id": "2918198"}, {"ref": "leeheesuck/1st-test-lhs", "kernel_id": "2933759"}, {"ref": "karell/kakr-1st-titanic-gender-model-with-blending", "kernel_id": "3004523"}, {"ref": "ho2708/titanic-survivor-prediction", "kernel_id": "3876683"}, {"ref": "kcs93023/public-test-kernel", "kernel_id": "3052937"}, {"ref": "elwlslek/titanic-roc-curve", "kernel_id": "3285162"}, {"ref": "nmoonma7/eda-xgboost", "kernel_id": "3183053"}, {"ref": "pyy0715/titanic-data-analysis-with-r", "kernel_id": "3375740"}, {"ref": "whoareyou420/titanic-ml-trial02", "kernel_id": "3091068"}, {"ref": "kyungsupgo/1st-titanic-with-kakr", "kernel_id": "3153182"}, {"ref": "chanhyeok/kernel3a256031b4", "kernel_id": "3850752"}, {"ref": "hyeonjoon/1stml", "kernel_id": "4536155"}, {"ref": "jeonghawoo/titanic-practice", "kernel_id": "5165839"}, {"ref": "jindragon83/kernel-jindragon", "kernel_id": "5050904"}, {"ref": "kimkyeongmin/guide-kor-dg", "kernel_id": "6427418"}, {"ref": "shinbg/binary-classification-study", "kernel_id": "8494391"}, {"ref": "dgjung/titanic-first-kaggle-code-for-study", "kernel_id": "9466666"}, {"ref": "jaewoo98/notebook1a6f1b3cad", "kernel_id": "11494750"}, {"ref": "chlcksgml/201118-study", "kernel_id": "12949499"}, {"ref": "pejepej/kaggle-tutorial", "kernel_id": "13788114"}, {"ref": "bakhyunchan/simple-model-works-fine", "kernel_id": "38883150"}, {"ref": "newhwan/titanic-survival-predictions-for-tutorial", "kernel_id": "60924583"}]}
{"competition_id": "12354", "kernels": [{"ref": "kevingeorgejoe/victory-royale", "kernel_id": "2457293"}]}
{"competition_id": "12357", "kernels": []}
{"competition_id": "12358", "kernels": []}
{"competition_id": "12359", "kernels": []}
{"competition_id": "12363", "kernels": []}
{"competition_id": "12366", "kernels": []}
{"competition_id": "12367", "kernels": []}
{"competition_id": "12371", "kernels": []}
{"competition_id": "12374", "kernels": []}
{"competition_id": "12379", "kernels": []}
{"competition_id": "12386", "kernels": []}
{"competition_id": "12399", "kernels": []}
{"competition_id": "12401", "kernels": []}
{"competition_id": "12417", "kernels": []}
{"competition_id": "12427", "kernels": []}
{"competition_id": "12428", "kernels": []}
{"competition_id": "12432", "kernels": [{"ref": "gotocoding/simplecnn", "kernel_id": "2594810"}, {"ref": "raccooncoder/special-delivery-for-pavel-zakharov", "kernel_id": "2654685"}]}
{"competition_id": "12437", "kernels": []}
{"competition_id": "12441", "kernels": []}
{"competition_id": "12442", "kernels": []}
{"competition_id": "12459", "kernels": []}
{"competition_id": "12464", "kernels": [{"ref": "deanp3/uw-neural-data-challenge-intro", "kernel_id": "2527458"}, {"ref": "deanp3/raw-spike-data-upper-limit-on-performance", "kernel_id": "2612259"}, {"ref": "buildtop/simple-feature-extraction", "kernel_id": "3189143"}]}
{"competition_id": "12483", "kernels": []}
{"competition_id": "12488", "kernels": [{"ref": "aerohack/statistical-benchmark-i", "kernel_id": "2557336"}, {"ref": "spsanps/the-lazy-man-s-ml-in-5-easy-steps", "kernel_id": "2557462"}, {"ref": "amlanpraharaj/generate-sample-submission", "kernel_id": "2555887"}]}
{"competition_id": "12495", "kernels": [{"ref": "vlasoff/data-explanation", "kernel_id": "2559779"}]}
{"competition_id": "12496", "kernels": []}
{"competition_id": "12500", "kernels": [{"ref": "abhishek/convert-lines-faster-for-bert", "kernel_id": "3885989"}, {"ref": "abhishek/pytorch-bert-inference", "kernel_id": "3933961"}, {"ref": "albahnsen/p3-samplesolution", "kernel_id": "3786637"}, {"ref": "maxl28618/toxic-comments-lstm-in-pytorch-with-torchtext", "kernel_id": "3717325"}, {"ref": "maxl28618/toxic-comments-baseline-model", "kernel_id": "3651165"}, {"ref": "maxl28618/toxic-comments-eda", "kernel_id": "3618996"}, {"ref": "kishore6157/jigsaw-toxicity-classification", "kernel_id": "3990164"}, {"ref": "ravikondadadi/loading-bert-using-pytorch-with-tokenizer-apex", "kernel_id": "3982347"}, {"ref": "mlwhiz/parallelization-kernel", "kernel_id": "3769255"}, {"ref": "danofer/jigsaw-bias-joint-protected-categories", "kernel_id": "3523917"}, {"ref": "antondergunov/basic-exploratory-analysis", "kernel_id": "3515969"}, {"ref": "neel783d/keras-lstm-model-without-pretrained-embedding", "kernel_id": "3742684"}, {"ref": "xffjlg/wrap-submetricsauc-class", "kernel_id": "3515886"}, {"ref": "abimannan/lstm-with-parameters", "kernel_id": "3906966"}, {"ref": "abimannan/jigsaw-text-classify", "kernel_id": "3660213"}, {"ref": "chriskeown/lstm-2-64-pool-max-avg-dense-256-closs-fnl", "kernel_id": "3868747"}, {"ref": "chriskeown/lstm-64-pool-max-avg-dense-256-custom-cost", "kernel_id": "3857355"}, {"ref": "chriskeown/bilstm-2-128-pool-max-avg-dense-512", "kernel_id": "3822908"}, {"ref": "chriskeown/lstm-64-pool-max-avg-dense-256", "kernel_id": "3823041"}, {"ref": "labdmitriy/jigsaw-linearsvc-tfidf-nb-features", "kernel_id": "3609334"}, {"ref": "cttsai/jigsaw-fast-compact-solution-with-gru", "kernel_id": "3530401"}, {"ref": "protan/lstm-cnn-torchtext-with-ignite", "kernel_id": "3836247"}, {"ref": "tofutiger/kernel2ac29febc6", "kernel_id": "3924522"}, {"ref": "jkfirst/jigsaw-submission", "kernel_id": "3485062"}, {"ref": "rahulvks/lstm-attention-keras", "kernel_id": "3437424"}, {"ref": "elias8888/bert-baseline-score-0-91", "kernel_id": "3502601"}, {"ref": "francoisdubois/build-your-word-embedding-from-scratch", "kernel_id": "3600602"}, {"ref": "francoisdubois/build-a-word-embedding-with-glove-matrix", "kernel_id": "3612557"}, {"ref": "francoisdubois/build-an-embedding-based-on-fasttext", "kernel_id": "3615338"}, {"ref": "francoisdubois/add-a-gru-layer", "kernel_id": "3635499"}, {"ref": "francoisdubois/add-a-lstm-layer", "kernel_id": "3633857"}, {"ref": "praxitelisk/jigsaw-toxicity-classification-eda-dl-keras-lstm", "kernel_id": "3899259"}, {"ref": "ekhtiar/unintended-eda-with-tutorial-notes", "kernel_id": "3783393"}, {"ref": "georsara1/reducing-bias-not-all-spicy-words-are-toxic", "kernel_id": "3456021"}, {"ref": "mvpvalues/auc-calculations-with-rounding-at-beginning", "kernel_id": "3704586"}, {"ref": "mvpvalues/4-outputs-no-rounding", "kernel_id": "3655495"}, {"ref": "mvpvalues/jigsaw-unintended-bias-kernel", "kernel_id": "3588494"}, {"ref": "alber8295/nb-svm-linear-baseline", "kernel_id": "3465673"}, {"ref": "springmanndaniel/baseline-in-r-lstm-cnns", "kernel_id": "3889952"}, {"ref": "mrugankakarte/jigsaw-unintended-bias-playbook", "kernel_id": "3535133"}, {"ref": "currie32/ulmfit-fastai", "kernel_id": "3813799"}, {"ref": "saurabhrathor/toxicity-check", "kernel_id": "3643285"}, {"ref": "prabanch/jigsaw-unintended-bias-in-toxicity-classification", "kernel_id": "3463675"}, {"ref": "artgor/pytorch-text-processing-and-other-things", "kernel_id": "3795681"}, {"ref": "artgor/pytorch-text-processing-and-other-things-old", "kernel_id": "3765668"}, {"ref": "artgor/comparing-architectures-and-embeddings", "kernel_id": "3427871"}, {"ref": "artgor/toxicity-eda-logreg-and-nn-interpretation", "kernel_id": "3428089"}, {"ref": "artgor/cnn-in-keras-on-folds", "kernel_id": "3428090"}, {"ref": "liaojh1998/toxic-broccoli-lstm-with-preprocessing", "kernel_id": "3867669"}, {"ref": "tyagit3/logistic-regression-with-tfidf-word-level", "kernel_id": "3572804"}, {"ref": "tyagit3/training-speed-bucketing-variable-len-padding", "kernel_id": "3595216"}, {"ref": "beautifulsoup4/bilstm-0-6lrsched-identity-customloss", "kernel_id": "3820170"}, {"ref": "otaviocv/fast-logistic-regression", "kernel_id": "3630519"}, {"ref": "gpreda/jigsaw-eda", "kernel_id": "3608940"}, {"ref": "gpreda/jigsaw-fast-compact-solution", "kernel_id": "3473035"}, {"ref": "jomaxx/jigsaw-toxicity-1-eda-of-tokens", "kernel_id": "3632790"}, {"ref": "sandeepkumar121995/keras-bi-gru-lstm-attention-fasttext", "kernel_id": "3456137"}, {"ref": "krishanudb/data-exploration-and-simple-model-building", "kernel_id": "3634424"}, {"ref": "yeayates21/jigsaw-vae-v2", "kernel_id": "3867880"}, {"ref": "yeayates21/jigsaw-simple-text-features-and-h2o-v4", "kernel_id": "3671648"}, {"ref": "adityaecdrid/regex-primer-annoying-artgor-xd", "kernel_id": "3438651"}, {"ref": "adityaecdrid/public-version-text-cleaning-vocab-65", "kernel_id": "3494330"}, {"ref": "al1020964/toxicity-competition", "kernel_id": "3653578"}, {"ref": "harsh306/keval1", "kernel_id": "3471301"}, {"ref": "bminixhofer/speed-up-your-rnn-with-sequence-bucketing", "kernel_id": "3654211"}, {"ref": "bminixhofer/simple-lstm-pytorch-version", "kernel_id": "3522342"}, {"ref": "kumarmanish/jigsaw-fast-compact-solution", "kernel_id": "3711993"}, {"ref": "tatianass/jigsaw-dataframe-with-new-categories", "kernel_id": "3518432"}, {"ref": "tp2422/jigsaw-v1", "kernel_id": "3439482"}, {"ref": "taindow/simple-cudnngru-python-keras", "kernel_id": "3438141"}, {"ref": "taindow/bert-a-fine-tuning-example", "kernel_id": "3518006"}, {"ref": "authman/simple-lstm-pytorch-with-batch-loading", "kernel_id": "3629888"}, {"ref": "authman/word-embedding-penalty", "kernel_id": "3630130"}, {"ref": "gjeffroy/simple-model-naive-bayes-and-logistic-reg", "kernel_id": "3894809"}, {"ref": "muonneutrino/lightgbm-starter-kernel", "kernel_id": "3481591"}, {"ref": "thousandvoices/simple-lstm", "kernel_id": "3478400"}, {"ref": "quincyqiang/01-tfidf-lr-0-89259", "kernel_id": "3642262"}, {"ref": "anubhav1302/j-toxicity-code", "kernel_id": "3471634"}, {"ref": "vaslem/test-on-toy-jigsaw", "kernel_id": "3893106"}, {"ref": "vaslem/test-on-toy-jigsaw-with-entangledbilstm", "kernel_id": "3912725"}, {"ref": "vaslem/test-on-toy-jigsaw-with-1-entangledbilstm", "kernel_id": "3913620"}, {"ref": "nikhilroxtomar/simple-keras-lstm", "kernel_id": "3582751"}, {"ref": "justjun0321/simple-sklearn-models", "kernel_id": "3433791"}, {"ref": "sorzhe/pytorch-toxic-detection-with-callbacks", "kernel_id": "3523263"}, {"ref": "prakhar21god/toxic-classification-bias-visualization", "kernel_id": "3875431"}, {"ref": "suchith0312/pytorch-dataloader-testing", "kernel_id": "3962529"}, {"ref": "ashukr/curating-a-subset", "kernel_id": "3461601"}, {"ref": "ashukr/naive-bayes", "kernel_id": "3532196"}, {"ref": "dimitreoliveira/toxicity-bias-extensive-eda-and-bi-lstm", "kernel_id": "3580777"}, {"ref": "jaehyeongan/jigsaw-toxicity-very-simple-embedding-lstm", "kernel_id": "3729226"}, {"ref": "fafiab/kernelb5f3536e06", "kernel_id": "3668376"}, {"ref": "adarsh415/jigsaw-classification-problem", "kernel_id": "3608905"}, {"ref": "lachonman/fastai-lm-on-extended-dataset-cv-regression", "kernel_id": "3826105"}, {"ref": "evilpsycho42/pytorch-batch-dynamic-padding-sort-pack", "kernel_id": "3601829"}, {"ref": "nevermoi/jigsaw-toxic-prediction-by-simple-linearsvr-tfidf", "kernel_id": "3446051"}, {"ref": "chakkarapani/kernel-chakra-toxicity", "kernel_id": "3470812"}, {"ref": "sklasfeld/beginner-modeling", "kernel_id": "3696075"}, {"ref": "sklasfeld/basic-exploratory-analysis", "kernel_id": "3695693"}, {"ref": "sklasfeld/simple-lstm-annotated-v2", "kernel_id": "3781385"}, {"ref": "sklasfeld/predict-toxicity-v1", "kernel_id": "3769297"}, {"ref": "xiespeng/kernel4b01d755dd", "kernel_id": "3838794"}, {"ref": "hamishdickson/train-w2v-gensim", "kernel_id": "3584033"}, {"ref": "hamishdickson/previous-competition-data-match", "kernel_id": "3518652"}, {"ref": "occuromist/occuromist-pub", "kernel_id": "3724551"}, {"ref": "lenapiter/basic-approach-with-spacy-and-gensim", "kernel_id": "3793573"}, {"ref": "mohanamurali/bgow-tf-idf-lr-w2v-lgb-bayesopt", "kernel_id": "3464232"}, {"ref": "alexanderliao/insight-eda-distributions", "kernel_id": "3804734"}, {"ref": "taohoang/simple-lstm", "kernel_id": "3566656"}, {"ref": "tarunpaparaju/jigsaw-competition-more-text-cleaning", "kernel_id": "3828275"}, {"ref": "tarunpaparaju/jigsaw-competition-part-of-speech-tagging", "kernel_id": "3666553"}, {"ref": "tarunpaparaju/jigsaw-competition-google-perspective-api", "kernel_id": "3677247"}, {"ref": "tarunpaparaju/jigsaw-competition-eda-and-modeling", "kernel_id": "3495165"}, {"ref": "ichabuddaeta/fun-times-with-r-and-toxicity", "kernel_id": "3471284"}, {"ref": "shishu1421/simple-lstm-with-identity-parameters-fastai", "kernel_id": "3543397"}, {"ref": "peterjaq/bigru-demo", "kernel_id": "3770795"}, {"ref": "christofhenkel/bert-embeddings-lstm", "kernel_id": "3611078"}, {"ref": "christofhenkel/temporal-cnn", "kernel_id": "3697284"}, {"ref": "christofhenkel/how-to-preprocessing-for-glove-part2-usage", "kernel_id": "3890344"}, {"ref": "christofhenkel/how-to-preprocessing-for-glove-part1-eda", "kernel_id": "3885292"}, {"ref": "christofhenkel/ulmfit-fast-ai-starter", "kernel_id": "3450916"}, {"ref": "christofhenkel/keras-baseline-lstm-attention-5-fold", "kernel_id": "3444639"}, {"ref": "christofhenkel/loading-bert-using-pytorch-with-tokenizer-apex", "kernel_id": "3443636"}, {"ref": "jingw222/jigsaw", "kernel_id": "3708176"}, {"ref": "maxjeblick/text-augmentation", "kernel_id": "3832182"}, {"ref": "maxjeblick/keras-lstm-with-competition-metric-callback", "kernel_id": "3602545"}, {"ref": "gsreyan/simple-exploration-notebook", "kernel_id": "3435566"}, {"ref": "plasticgrammer/jigsaw-toxicity-classification-playground", "kernel_id": "3460027"}, {"ref": "dtprksh50/toxic-challenge-v2", "kernel_id": "3567709"}, {"ref": "sarvajna/jigsaw-toxicity-eda", "kernel_id": "3706515"}, {"ref": "sergeykalutsky/searching-for-balance", "kernel_id": "3463716"}, {"ref": "sergeykalutsky/pytorch-starter", "kernel_id": "3454849"}, {"ref": "sergeykalutsky/augmenting-and-parsing-more-data", "kernel_id": "3507278"}, {"ref": "hiromoon166/save-bert-fine-tuning-model", "kernel_id": "3883556"}, {"ref": "hiromoon166/load-bert-fine-tuning-model", "kernel_id": "3883616"}, {"ref": "tanreinama/simple-lstm-using-identity-parameters-solution", "kernel_id": "3531690"}, {"ref": "bkkaggle/allennlp-starter-kit", "kernel_id": "3509373"}, {"ref": "bkkaggle/jigsaw-allennlp", "kernel_id": "3480321"}, {"ref": "iavinas/toxicity-bias-tfidfvectorizer", "kernel_id": "3812760"}, {"ref": "abhigupta4981/pytorch-train-with-callbacks", "kernel_id": "3498799"}, {"ref": "avis1102/lstm-pytorch-model", "kernel_id": "3558084"}, {"ref": "timidli0n/defaultlstm", "kernel_id": "3985727"}, {"ref": "mshaked/666-666", "kernel_id": "3811727"}, {"ref": "manmohan123/kernel97688d5835", "kernel_id": "3935020"}, {"ref": "yuval6967/toxic-bert-plain-vanila", "kernel_id": "3924879"}, {"ref": "shubham505/apply-by-simple-bilstm", "kernel_id": "3892867"}, {"ref": "dnik007/jigsaw-challenge-data-pre-processing-and-keras", "kernel_id": "3524962"}, {"ref": "coolcoder22/lightgbm-fast-compact-solution", "kernel_id": "3634251"}, {"ref": "coolcoder22/simple-logisticregression", "kernel_id": "3487596"}, {"ref": "coolcoder22/colab-to-fine-tune-bert", "kernel_id": "3666438"}, {"ref": "leighplt/pytorch-torchtext-glove", "kernel_id": "3438091"}, {"ref": "guillemkami/compact-simple-solution-gru-layers", "kernel_id": "3624295"}, {"ref": "julianoliveira/blend-the-blend", "kernel_id": "3637086"}, {"ref": "fnugget/eda-comment-lengths-and-punctuation-emoji-use", "kernel_id": "3642534"}, {"ref": "iluxave/cnn-using-identity-parameters-solution", "kernel_id": "3560170"}, {"ref": "firstanton/nlp-func-for-determining-dictionary-coverage", "kernel_id": "3673843"}, {"ref": "firstanton/nlp-build-embedding-matrix-without-full-pre-load", "kernel_id": "3869736"}, {"ref": "nklinzhiming/pytorch-base-model-99c811", "kernel_id": "3698117"}, {"ref": "dkalev/generate-embeddings-matrix", "kernel_id": "3649497"}, {"ref": "ajaykgp12/can-model-learn-its-word-embeddings-keras-and-gru", "kernel_id": "3504969"}, {"ref": "farjadk/kernelb013a8a11e", "kernel_id": "3809559"}, {"ref": "farjadk/nlp-hatespeach-target-type-identification", "kernel_id": "3854337"}, {"ref": "chewzy/eda-toxicity-of-identities-updated-29-4", "kernel_id": "3439283"}, {"ref": "jingwhale/pre-process-data", "kernel_id": "3619435"}, {"ref": "hung96ad/gru-lstm", "kernel_id": "3485750"}, {"ref": "gilads/dnn1-gilad", "kernel_id": "3738973"}, {"ref": "hydrilla/kerneld016f7f293", "kernel_id": "3796056"}, {"ref": "rohankumar0002/using-gensim-and-keras-lstm", "kernel_id": "3534141"}, {"ref": "rohankumar0002/jigsaw-nb", "kernel_id": "3622611"}, {"ref": "powercode/bilstm-gru-caps", "kernel_id": "3476485"}, {"ref": "uysimty/simple-toxicity-classification", "kernel_id": "3570245"}, {"ref": "sukpyohong/lstm1st", "kernel_id": "3943093"}, {"ref": "adrianoavelar/lstm-eda-solution-for-jigsaw-toxicity", "kernel_id": "3751592"}, {"ref": "takafumif/simple-lgbm", "kernel_id": "3480384"}, {"ref": "takafumif/lstm-model", "kernel_id": "3769984"}, {"ref": "kunwar31/simple-lstm-with-identity-parameters-fastai", "kernel_id": "3539218"}, {"ref": "kunwar31/simple-lstm-fastai", "kernel_id": "3533248"}, {"ref": "kunwar31/pytorch-pad-sequences-per-batch", "kernel_id": "3591431"}, {"ref": "nholloway/the-effect-of-word-embeddings-on-bias", "kernel_id": "3573706"}, {"ref": "nholloway/insights-from-jigsaw-publications", "kernel_id": "3630041"}, {"ref": "pnussbaum/benchmark-kernel-and-aaa19-v06", "kernel_id": "3779889"}, {"ref": "jacobgreen4477/dms-korea-clean-text-glove-fasttext-keras", "kernel_id": "3947595"}, {"ref": "jacobgreen4477/dms-korea-simple-eda", "kernel_id": "3951129"}, {"ref": "buntyshah/jigsaw-classification-lstm", "kernel_id": "3547377"}, {"ref": "buntyshah/jigsaw-memory-optimization-upto-40", "kernel_id": "3682403"}, {"ref": "shakespere/keras-baseline-lstm-att-5-fold-bn-dp-2embedding-l", "kernel_id": "3460617"}, {"ref": "lsjsj92/toxic-simple-eda-and-modeling-with-lstm", "kernel_id": "3446033"}, {"ref": "ddw02141/simple-lstm-attention", "kernel_id": "3943274"}, {"ref": "swarnim97/jigsaw-toxicity-using-cnn1d-and-cudnnlstm", "kernel_id": "3501948"}, {"ref": "matsuik/subgroup-negative-weighting", "kernel_id": "3626642"}, {"ref": "matsuik/pytorch-pretrained-bert-from-source-in-dataset", "kernel_id": "3614862"}, {"ref": "ankuraman1234/toxic-classification-in-r-use-glm-to-predict", "kernel_id": "3928561"}, {"ref": "sakami/pytorch-base-model", "kernel_id": "3462474"}, {"ref": "beloruk1/comparing-embeddings", "kernel_id": "3463173"}, {"ref": "cristinasierra/pretext-lstm-tuning-v3", "kernel_id": "3963668"}, {"ref": "tomkpace/simple-nn-starter-kernel", "kernel_id": "3877729"}, {"ref": "dborkan/benchmark-kernel", "kernel_id": "3413278"}, {"ref": "rx74tsns/tf-idf-vectorizer-and-logistic-regression", "kernel_id": "3647730"}, {"ref": "samarthsarin/lstm-with-text-cleaning", "kernel_id": "3753969"}, {"ref": "samarthsarin/ensemble-network-with-keras-and-embeddings", "kernel_id": "3596493"}, {"ref": "fortizs/simple-lstm-with-identity-parameters-fastai", "kernel_id": "3956734"}, {"ref": "acstream/multilayer-cudnnlstm-cudnngru", "kernel_id": "3447450"}, {"ref": "masterscrat/lsa-lgbm-baseline-w-system-monitoring", "kernel_id": "3441287"}, {"ref": "jazivxt/ontological-paradox-civil-bias", "kernel_id": "3429371"}, {"ref": "nikhilsharma00/clean-data-keras-embbedings-cudnn-predict", "kernel_id": "3508823"}, {"ref": "kenkrige/bert-inference-for-upload", "kernel_id": "3720682"}, {"ref": "kenkrige/subgroup-analysis", "kernel_id": "3790122"}, {"ref": "pedrormarques/jigsaw-gru-classes", "kernel_id": "3488980"}, {"ref": "xjie123456/kernel3f7f09718c", "kernel_id": "3717542"}, {"ref": "rafay12/jigsaw-competition-12", "kernel_id": "3985544"}, {"ref": "duykhanh99/bidirectional-lstm-and-attention", "kernel_id": "3812017"}, {"ref": "duykhanh99/bidirectional-lstm-attention", "kernel_id": "3799338"}, {"ref": "duykhanh99/lstm-fast-ai-tuning", "kernel_id": "3909954"}, {"ref": "duykhanh99/introduction-to-nlp-hust", "kernel_id": "3894959"}, {"ref": "duykhanh99/nlp-basic", "kernel_id": "3709727"}, {"ref": "sinchir0/simple-eda-for-jigsaw", "kernel_id": "3815095"}, {"ref": "aming9527/embed-lstm-attention", "kernel_id": "3515740"}, {"ref": "aming9527/kernel-pytorch-base-model-cp", "kernel_id": "3493534"}, {"ref": "skumar2007ctae/text-pre-processing-applied-simple-lstm", "kernel_id": "3687471"}, {"ref": "elcaiseri/toxicity-bias-logistic-regression-tfidfvectorizer", "kernel_id": "3630539"}, {"ref": "arcisad/keras-bidirectional-lstm-self-attention", "kernel_id": "3936150"}, {"ref": "cevangelist/a-little-more-detailed-eda-and-simple-lstm", "kernel_id": "3481137"}, {"ref": "matthew886/jigsaw-fast-compact-solution", "kernel_id": "3482358"}, {"ref": "guiyihan/text-classification", "kernel_id": "3975631"}, {"ref": "sameerdev7/90-accuracy-using-double-lstm", "kernel_id": "3999002"}, {"ref": "thinhn/data-sci-embedding-bidirectional-lstm", "kernel_id": "3878525"}, {"ref": "felipemello/there-is-no-medal-without-eda-comment-s-toxicity", "kernel_id": "3437172"}, {"ref": "rashikds/hate-speach-identifying-hate-group", "kernel_id": "3872454"}, {"ref": "rolikasi/keras-lstm", "kernel_id": "3473583"}, {"ref": "httpwwwfszyc/bert-keras-with-warmup-and-excluding-wd-parameters", "kernel_id": "3525138"}, {"ref": "matsumotoshintaro/kernel0cc2a9145d", "kernel_id": "3660037"}, {"ref": "cibi075/kernal-cb-t", "kernel_id": "3671641"}, {"ref": "cantinier/kernel6c33af44d9", "kernel_id": "3939223"}, {"ref": "nevs1973/newbie-tutorial-jigsaw-unintended-bias-basic-eda", "kernel_id": "3852204"}, {"ref": "hvjaime/kernel2d3a6ba71d", "kernel_id": "3958747"}, {"ref": "afmartinezt/miia-submit-2", "kernel_id": "3956181"}, {"ref": "afmartinezt/miia-submit-1", "kernel_id": "3945621"}, {"ref": "cabarajasb2019/second", "kernel_id": "3946950"}, {"ref": "rangaritab/kernelb79e9290dc", "kernel_id": "3965696"}, {"ref": "rangaritab/p3-team12-v3", "kernel_id": "3899849"}, {"ref": "woainilin/kernel2221a225b3", "kernel_id": "3839473"}, {"ref": "darestrepov/model1-naive-bayes-with-logreg", "kernel_id": "3914635"}, {"ref": "stanislavblinov/sweet-bi-lstm-attentionwithcontext", "kernel_id": "3473051"}, {"ref": "proyectomineria2019/kernel9b764d76f5", "kernel_id": "3966606"}, {"ref": "gali1eo/pytorch-augmented-benchmark-kernel", "kernel_id": "3882972"}, {"ref": "gali1eo/pytorch-bert-inference", "kernel_id": "3943062"}, {"ref": "vivaroma/simple-lstm-with-learn-rate-tuned", "kernel_id": "3588345"}, {"ref": "suryamr/toxic-comments-classifier-random-forest-acc-100", "kernel_id": "3457631"}, {"ref": "lfrincon90/kernel3b4efc9320", "kernel_id": "3888425"}, {"ref": "nz0722/simple-eda-text-preprocessing-jigsaw", "kernel_id": "3499080"}, {"ref": "nz0722/reasoning-some-text-clean-not-work", "kernel_id": "3858909"}, {"ref": "gaguerrerora/miia-p3", "kernel_id": "3946530"}, {"ref": "shilowu/bert-toxicityclassification2", "kernel_id": "3585510"}, {"ref": "shilowu/testsubmission", "kernel_id": "3589807"}, {"ref": "shilowu/weightedforsubmetric", "kernel_id": "3669587"}, {"ref": "xiicwo/simple-lstm-with-r", "kernel_id": "3718451"}, {"ref": "ivansv/text-mining-toxicity", "kernel_id": "3727902"}, {"ref": "warcontroll/kernel0dde1bc223", "kernel_id": "3609108"}, {"ref": "vladtaranchuk/124567", "kernel_id": "3619102"}, {"ref": "luisk1504/kernel8b0f797879-2", "kernel_id": "3965048"}, {"ref": "luisk1504/kernel0f620054e3", "kernel_id": "3963412"}, {"ref": "andaoba1/ensayo-p3", "kernel_id": "3915533"}, {"ref": "andaoba1/preproccesing-and-cudnnlstm", "kernel_id": "3953497"}, {"ref": "godeye/kernelf66a675087", "kernel_id": "3982502"}, {"ref": "mashhoori/a-loss-function-for-the-jigsaw-competition", "kernel_id": "4538286"}, {"ref": "ruhong/jigsaw-unintended-bias-bert-pytorch", "kernel_id": "4136242"}, {"ref": "ruhong/jigsaw-unintended-bias-simple-lstm", "kernel_id": "4136954"}, {"ref": "ruhong/jigsaw-unintended-bias-simple-lstm-pytorch", "kernel_id": "4137347"}, {"ref": "ruhong/jigsaw-unintended-bias-baseline-cnn", "kernel_id": "4080142"}, {"ref": "soulmachine/jigsaw-pytorch-bert", "kernel_id": "4052902"}, {"ref": "soulmachine/jigsaw-utils", "kernel_id": "4163754"}, {"ref": "soulmachine/jigsaw-utils-kaggle", "kernel_id": "4494654"}, {"ref": "kishore6157/jigsaw-toxicity-classification-lstm-v4", "kernel_id": "4012253"}, {"ref": "ceshine/bert-finetuning-public", "kernel_id": "4905499"}, {"ref": "ceshine/toxic-2019-simple-ensemble-public", "kernel_id": "4919013"}, {"ref": "pappukrjha/know-your-data", "kernel_id": "4687356"}, {"ref": "iezepov/wombat-inference-kernel", "kernel_id": "4429425"}, {"ref": "chriscc/jigsaw-starter-blend", "kernel_id": "4201811"}, {"ref": "chriscc/jigsaw-starter", "kernel_id": "4105761"}, {"ref": "chechir/bert-lstm-rank-blender", "kernel_id": "4154746"}, {"ref": "saurabh7/bert-1050000-large", "kernel_id": "4206152"}, {"ref": "saileshmohanty/b-l-25-75", "kernel_id": "4486392"}, {"ref": "saileshmohanty/bert-trial", "kernel_id": "4360108"}, {"ref": "saileshmohanty/lstm-1", "kernel_id": "4361553"}, {"ref": "surbhibhardwaj/kernelb3c83b7be2", "kernel_id": "4043458"}, {"ref": "praritlamba/simple-lstm-v2-max-len-300", "kernel_id": "4001815"}, {"ref": "haqishen/jigsaw-predict", "kernel_id": "4321942"}, {"ref": "marctorsoc/jigsaw-torchtext", "kernel_id": "4592917"}, {"ref": "yosefardhito/pytorch-lstm-end-to-end-walkthrough", "kernel_id": "4791572"}, {"ref": "yosefardhito/eda-annotations-lexical-and-bag-of-words", "kernel_id": "4489559"}, {"ref": "sanjeeth/logreg-nb-text-classification", "kernel_id": "4288786"}, {"ref": "yetman/simple-gru-bert", "kernel_id": "4528949"}, {"ref": "timon88/bert-lstm-simple-blender-0-93844-lb", "kernel_id": "4085485"}, {"ref": "anjing/nlp-preprocessor-and-ida", "kernel_id": "4268291"}, {"ref": "shivamkotwalia/jigsaw-unintended-bias-in-toxicity", "kernel_id": "4130654"}, {"ref": "prabanch/simple-lstm", "kernel_id": "4370454"}, {"ref": "prabanch/jigsaw-unintended-bias-prediction", "kernel_id": "4372069"}, {"ref": "blackitten13/bilstm-numberbatch-0-train-val", "kernel_id": "4446369"}, {"ref": "blackitten13/bilstm-twitter-1-train-val", "kernel_id": "4454740"}, {"ref": "blackitten13/lstm-cp-clip-nb-tw-tfidf-berts-gpt-val2-best-r", "kernel_id": "4528318"}, {"ref": "blackitten13/lstm-cp-clip-nb-tw-tfidf-bert4x-gpt-test-best", "kernel_id": "4532529"}, {"ref": "blackitten13/bilstm-crawl-paragram-6-ep-0-train", "kernel_id": "4338053"}, {"ref": "blackitten13/fork-of-train-preprocessing-for-tf-idf", "kernel_id": "4389162"}, {"ref": "blackitten13/my-validation", "kernel_id": "4365363"}, {"ref": "blackitten13/bilstm-c-p-target-clip-0-05-5-ep-0-train-val", "kernel_id": "4430869"}, {"ref": "blackitten13/simple-tf-idf-models-train-val", "kernel_id": "4411655"}, {"ref": "rodgomrod/simple-lightgbm-stacker-identity-public-0-902", "kernel_id": "4463741"}, {"ref": "yaroshevskiy/bert-base-2-epochs", "kernel_id": "4374851"}, {"ref": "yeayates21/threshold-eda-then-following-the-rabbit", "kernel_id": "4025924"}, {"ref": "yeayates21/bert-v6", "kernel_id": "4332030"}, {"ref": "splacorn/submission1-inference-4-360-1-220", "kernel_id": "4515781"}, {"ref": "jasonjensen/remove-identity-words-simple-lstm", "kernel_id": "4209934"}, {"ref": "jasonjensen/tensorflow-bert", "kernel_id": "4297249"}, {"ref": "osciiart/character-level-cnn", "kernel_id": "4525206"}, {"ref": "vaslem/fixed-preprocessing", "kernel_id": "4077293"}, {"ref": "nikhilroxtomar/usel-3-keras-lstm", "kernel_id": "4326965"}, {"ref": "nikhilroxtomar/bi-gru-lstm-cnn-fasttext", "kernel_id": "4286506"}, {"ref": "ryches/leaderboard-analysis-with-4-days-left", "kernel_id": "4444766"}, {"ref": "niel96/simple-classification-algorithm", "kernel_id": "4132571"}, {"ref": "gauravs90/keras-bert-toxic-model-bert-fine-tuning-with-keras", "kernel_id": "4438220"}, {"ref": "vendredi218/lstm-v1", "kernel_id": "4287665"}, {"ref": "alexgeiger/train-bert-model-7-input", "kernel_id": "4210406"}, {"ref": "kabure/simple-eda-hard-views-w-easy-code", "kernel_id": "4032644"}, {"ref": "aussie84/basic-lstm-explanatory-walkthrough", "kernel_id": "4253959"}, {"ref": "yuooka/jigsaw-bert-demo-190719", "kernel_id": "4817754"}, {"ref": "codeastar/save-keras-rnn-model", "kernel_id": "4366422"}, {"ref": "codeastar/load-keras-rnn-model", "kernel_id": "4424501"}, {"ref": "chengjingye/lstm-cnn-3layer2d-bn", "kernel_id": "4529721"}, {"ref": "jaehyeongan/jigsaw-toxicity-basic-embedding-lstm", "kernel_id": "4637347"}, {"ref": "andyandy/text-classification-lstm-glove-vector", "kernel_id": "4737266"}, {"ref": "k123321141/bert-baseline", "kernel_id": "4279100"}, {"ref": "sklasfeld/simple-lstm-skeleton-sk-v1", "kernel_id": "4277928"}, {"ref": "sarveshsinghsvn/kernel451498e34a", "kernel_id": "4327831"}, {"ref": "hatunina/lstm-with-normal-features-base-on-dieter", "kernel_id": "4210159"}, {"ref": "chetnapannu/toxicity-classification-eda", "kernel_id": "4161536"}, {"ref": "hhzzxx957/fork-of-toxic-bert-plain-vanila", "kernel_id": "4136351"}, {"ref": "infoabhitech/jigsaw-toxic-classification-keras-nn", "kernel_id": "4266521"}, {"ref": "maxjeblick/replacing-oov-words-with-bert", "kernel_id": "4299015"}, {"ref": "tanreinama/pretext-lstm-tuning-v3-with-ensemble-tune", "kernel_id": "4051445"}, {"ref": "tanreinama/fastai-file-stream-training", "kernel_id": "4092455"}, {"ref": "bkkaggle/jigsaw-preprocessing-gpt2-1", "kernel_id": "4328124"}, {"ref": "bkkaggle/converting-whole-word-masking-bert-to-pytorch", "kernel_id": "4260290"}, {"ref": "tenffe/jigsaw-embedding-by-bert", "kernel_id": "4467842"}, {"ref": "tenffe/fastai-bert-inference-with-9-epoch", "kernel_id": "4350410"}, {"ref": "tenffe/fastai-bert-train-baseline-10-epoch", "kernel_id": "4351059"}, {"ref": "tenffe/transform-tf-bert-to-pytorch-bert", "kernel_id": "4352960"}, {"ref": "tenffe/xlnet", "kernel_id": "4430907"}, {"ref": "w835332003/jigsawv8", "kernel_id": "4201319"}, {"ref": "ayush99rox/bert-lstm-blend", "kernel_id": "4367679"}, {"ref": "yuval6967/toxic-train-bert-base-pytorch", "kernel_id": "4540529"}, {"ref": "elyliu/pytorch-bert-inference-63d1e5", "kernel_id": "4194264"}, {"ref": "shubham505/keras-lstm-5-fold", "kernel_id": "4290378"}, {"ref": "shubham505/simple-lstm-for-high-score", "kernel_id": "4387755"}, {"ref": "sanjayroberts1/sklearn-algorithms-toxic-comments", "kernel_id": "4036393"}, {"ref": "sanjayroberts1/lstm-toxic-comments", "kernel_id": "4061895"}, {"ref": "zhangmw/toxic-bert-plain-vanila", "kernel_id": "4892695"}, {"ref": "phseidl/pytorch-bert-fast-bucket-inference-blend-individ", "kernel_id": "4061876"}, {"ref": "mayvid/jigsaw", "kernel_id": "4770060"}, {"ref": "vaibhavmathur96/jigsaw-starter-blend", "kernel_id": "4309220"}, {"ref": "vaibhavmathur96/simple-lstm", "kernel_id": "4760372"}, {"ref": "jt0321/fine-tuning-bert-with-mxnet-gluon", "kernel_id": "4317730"}, {"ref": "sharibkhan/my-first-semantic-analysis-problem-in-nlp", "kernel_id": "4362738"}, {"ref": "akhileshrai003/jigsaw-toxic-comment-classification", "kernel_id": "4526843"}, {"ref": "tomohiro05/polyglot-and-sklearn", "kernel_id": "4677440"}, {"ref": "uysimty/simple-toxicity-classification-submission", "kernel_id": "4023159"}, {"ref": "weilinwuweilinwu/bidirectional-lstm-with-weighted-samples", "kernel_id": "4432150"}, {"ref": "jacobgreen4477/optimize-lstm-easy-cut", "kernel_id": "4467228"}, {"ref": "hanyaopeng/single-bert-base-with-0-94376", "kernel_id": "4541647"}, {"ref": "isikkuntay/glove-n-bert-test", "kernel_id": "4189676"}, {"ref": "aialba/lstm-w-pytorch", "kernel_id": "4192486"}, {"ref": "snakayama/fork-of-first-bert-model", "kernel_id": "4536838"}, {"ref": "snakayama/first-bert-model-yeahhhh", "kernel_id": "4503550"}, {"ref": "fulrose/inference-baseline-it-s-done", "kernel_id": "4535833"}, {"ref": "yangsaewon/lstm-kfold-training", "kernel_id": "4170421"}, {"ref": "yangsaewon/bert-lstm-inference", "kernel_id": "4168389"}, {"ref": "siddhrath/first-model-lstm", "kernel_id": "4136243"}, {"ref": "siddhrath/all-zero", "kernel_id": "4148903"}, {"ref": "siddhrath/double-model", "kernel_id": "4148570"}, {"ref": "polarbearzyx/prj3-for-ai-cookbook-tensorflow", "kernel_id": "4425888"}, {"ref": "polarbearzyx/ai-prj3", "kernel_id": "4374063"}, {"ref": "polarbearzyx/project3-code", "kernel_id": "4369523"}, {"ref": "polarbearzyx/filter-the-data", "kernel_id": "4436081"}, {"ref": "polarbearzyx/prj4ai-tersorflow-py", "kernel_id": "4436149"}, {"ref": "aminejait/jigsaw-bert", "kernel_id": "4101479"}, {"ref": "sriharipramod/simple-lstm", "kernel_id": "4846210"}, {"ref": "matsuik/convert-embedding-dictionary-to-gensim-w2v-format", "kernel_id": "4158544"}, {"ref": "matsuik/fork-of-pred-lstm-gpt2-bu12c45-lu0c1-ftpe18-7c1c82", "kernel_id": "4527865"}, {"ref": "rutvik04/jigsaw-unintended-bias-toxicity-classification", "kernel_id": "4040009"}, {"ref": "sakami/single-lstm-3rd-place", "kernel_id": "4502115"}, {"ref": "prithvi1029/unprocessed-comments-worked-well", "kernel_id": "4357425"}, {"ref": "tomkpace/bow-svd-knn-as-a-weak-learner", "kernel_id": "4214426"}, {"ref": "animeshsinha1309/simple-lstm-for-toxicity-classification", "kernel_id": "4797386"}, {"ref": "ankitscience/elmo-with-attention-bilstm-including-id-parameter", "kernel_id": "4098661"}, {"ref": "gauripradhan/toxicity-detection-using-bert-embeddings", "kernel_id": "4890138"}, {"ref": "dalip98/simple-lstm-keras", "kernel_id": "4118500"}, {"ref": "hzk123/total-preprocess", "kernel_id": "4176382"}, {"ref": "vkurma/using-pretrained-models", "kernel_id": "4399029"}, {"ref": "bernalca/exploration-jigsaw-toxicity-classification", "kernel_id": "4146984"}, {"ref": "kyakovlev/preprocessing-bert-public", "kernel_id": "4549333"}, {"ref": "kyakovlev/jigsaw-general-helper-public", "kernel_id": "4549190"}, {"ref": "kyakovlev/internal-eda-public", "kernel_id": "4546850"}, {"ref": "tides94/word-rank-kernel", "kernel_id": "4109227"}, {"ref": "freddo1one/simple-logistic-regresssion", "kernel_id": "4239399"}, {"ref": "shushanxingzhe/bert-a-fine-tuning-example", "kernel_id": "4951567"}, {"ref": "qhd0081/test-bert", "kernel_id": "4054360"}, {"ref": "liyushihaoren2/gpt2-0-uncased", "kernel_id": "4266335"}, {"ref": "johnmollas/kernelff5eaed6ec", "kernel_id": "4030851"}, {"ref": "annekel/fastpreprocess-14min-99-7-coverage-gl-ov", "kernel_id": "4395172"}, {"ref": "luischreiter/look-into-embedding-vectors-glove-fasttext-google", "kernel_id": "4425509"}, {"ref": "s7anmerk/lean-import-to-save-ram-and-eda", "kernel_id": "4116906"}, {"ref": "shilparpns/jigsaw-starter-blend", "kernel_id": "4523300"}, {"ref": "t4tapasroy/kernel6f7658cce3", "kernel_id": "4370809"}, {"ref": "dyyalex/jigsaw-starter-blend-with-bert-config", "kernel_id": "4350140"}, {"ref": "rashikds/hate-speach-identifying-hate-group-v2-svm", "kernel_id": "4367224"}, {"ref": "httpwwwfszyc/keras-models-inference", "kernel_id": "4958771"}, {"ref": "kenil020/sentiment-analysis-for-toxicity-in-a-statement", "kernel_id": "4881289"}, {"ref": "ostamand/submission-2-bert-gpt2", "kernel_id": "4526094"}, {"ref": "marinan67/kernel-kerasregressor-tfidf", "kernel_id": "4351581"}, {"ref": "gphilmod/hello-world", "kernel_id": "4419089"}, {"ref": "payert/jigsaw-model-comparison", "kernel_id": "4785164"}, {"ref": "juliakt/bert-model-prediction-maybe", "kernel_id": "4428191"}, {"ref": "kdgyun425/a-variant-of-transformer", "kernel_id": "4033606"}, {"ref": "arcticmarmot/using-conv1d-and-gru", "kernel_id": "4032066"}, {"ref": "abdelrahmangamil/toxic-spark", "kernel_id": "4432415"}, {"ref": "takumiito/commented-bert-a-fine-tuning-example", "kernel_id": "4839565"}, {"ref": "takumiito/bert-lstm-rank-blender-commented", "kernel_id": "4283852"}, {"ref": "carrot6869/lstm-preprocess", "kernel_id": "4143497"}, {"ref": "fanluwu/nb-jigsaw", "kernel_id": "4333863"}, {"ref": "jaharrin/logistic-regression-with-tf-idf", "kernel_id": "4238852"}, {"ref": "levysouza/amkernelproject", "kernel_id": "4059969"}, {"ref": "spell0/jigsaw-toxicity", "kernel_id": "4163846"}, {"ref": "jigsawclassification/seoyounglstm", "kernel_id": "4405083"}, {"ref": "cuijinghuan/kernel8c6d4caaf4", "kernel_id": "4208261"}, {"ref": "cuijinghuan/kernel9dd7d93aaf", "kernel_id": "4206928"}, {"ref": "cuijinghuan/kernel84a86254a8", "kernel_id": "4198289"}, {"ref": "danich329/simple-lstm-skeleton", "kernel_id": "4190628"}, {"ref": "penpen86/pytorch-bert-inference-22ec03", "kernel_id": "4250828"}, {"ref": "pochineni/base-model-lstm-model-without-pretrained-embedding", "kernel_id": "4915706"}, {"ref": "pochineni/feature-engineering", "kernel_id": "4934895"}, {"ref": "kalashnimov/attention-with-fold", "kernel_id": "5030121"}, {"ref": "xooca1/bert-sentiment-analysis-pytorch", "kernel_id": "5252991"}, {"ref": "ilyamironov/jigsaw-toxicity-classification-lstm-v4", "kernel_id": "5617375"}, {"ref": "souravdas4/jigsaw-unintended-bias-in-toxicity-classification", "kernel_id": "5979479"}, {"ref": "heshamasem/toxic-text-classification", "kernel_id": "5641528"}, {"ref": "harendrap/fastai-ulmfit-tutorial", "kernel_id": "5882261"}, {"ref": "nikkisharma/spacy-explored-toxic-texts", "kernel_id": "5704797"}, {"ref": "shivangchopra11/save-bert-fine-tuning-model", "kernel_id": "5009390"}, {"ref": "sid321axn/spacy-explored-toxic-texts", "kernel_id": "5688923"}, {"ref": "charan977/kernel3acf2f2a3f", "kernel_id": "5791352"}, {"ref": "charan977/kernel1b4bc2091a", "kernel_id": "5792677"}, {"ref": "charan977/kernele23e0ff4f8", "kernel_id": "5790632"}, {"ref": "charan977/kernel20c4cd278d", "kernel_id": "5792038"}, {"ref": "charan977/kernel7b611e177b", "kernel_id": "5798046"}, {"ref": "curiousprogrammer/xlnet-finetuning-tensorflow", "kernel_id": "5085637"}, {"ref": "curiousprogrammer/xlnet-with-imdb-classifier-base-model", "kernel_id": "5073162"}, {"ref": "nihal24/toxicity-with-simple-single-gru-layer", "kernel_id": "5471882"}, {"ref": "s8a496b/char-model-test", "kernel_id": "5612390"}, {"ref": "sanilsingh/kernelfda3a6d278", "kernel_id": "5999284"}, {"ref": "sonali0103/kernel5f6932067d", "kernel_id": "5704368"}, {"ref": "sorenj/contextmatters", "kernel_id": "5373311"}, {"ref": "gsailalitha/kerneld019288abf", "kernel_id": "5006981"}, {"ref": "takumiito/bertimplements", "kernel_id": "5265537"}, {"ref": "mastreips/pytorch-bert-inference", "kernel_id": "5981727"}, {"ref": "pochineni/prediction-submission-glove", "kernel_id": "5012912"}, {"ref": "austvan/data-exploration", "kernel_id": "5785598"}, {"ref": "bhuvan93/simple-lstm-pytorch-version", "kernel_id": "6801713"}, {"ref": "saranyashalya/pytorch-bert-sequence-classification", "kernel_id": "6677599"}, {"ref": "bparesh/jigsaw-nbsvm", "kernel_id": "6825224"}, {"ref": "khyeh0719/kaggle-days-workshop-toxic-bert", "kernel_id": "6041596"}, {"ref": "sishihara/translate-en-ja", "kernel_id": "6642728"}, {"ref": "jasmeetkaur/jigsaw-toxic-classification-with-lstm-attention", "kernel_id": "6926299"}, {"ref": "usgzjzj17273/kernel194010926a", "kernel_id": "6402593"}, {"ref": "patricia92fa/jigsaw-competition-part-i-exploratory-analysis", "kernel_id": "6926943"}, {"ref": "eskender/bert-lstm-rank-blender-4edc9f", "kernel_id": "6118380"}, {"ref": "eskender/tin-part-1", "kernel_id": "6109830"}, {"ref": "isikkuntay/bert-and-bidaf", "kernel_id": "6963276"}, {"ref": "cjinny/bert-eda", "kernel_id": "6268620"}, {"ref": "jmourad100/toxicity-detection-using-bert-embeddings", "kernel_id": "6934804"}, {"ref": "skilleen/machine-learning-lab-iwd", "kernel_id": "6809172"}, {"ref": "twrobel/simple-lstm", "kernel_id": "6389214"}, {"ref": "twrobel/lab-draft", "kernel_id": "6390044"}, {"ref": "johnlau/jigsaw-convulotional-lstm", "kernel_id": "6850926"}, {"ref": "jedemdasseine/tinkoff-bert", "kernel_id": "6130888"}, {"ref": "felipemello/jigsaw", "kernel_id": "6022580"}, {"ref": "irvingzqy/kernel66d2937e6e", "kernel_id": "6840715"}, {"ref": "irvingzqy/simple-lstm-c47b65", "kernel_id": "6796134"}, {"ref": "austvan/research", "kernel_id": "6408318"}, {"ref": "karan100194/kernel7c52d4d57a", "kernel_id": "6741493"}, {"ref": "testaccount93/mypersonality", "kernel_id": "6022815"}, {"ref": "bparesh/bilstm-jigsaw", "kernel_id": "7321883"}, {"ref": "bparesh/cnn-5fold", "kernel_id": "7340457"}, {"ref": "doomdiskday/fulltutorial-from-eda-to-ensembles-all-you-need", "kernel_id": "7660456"}, {"ref": "singhaditya5842/stacked-model", "kernel_id": "7161791"}, {"ref": "singhaditya5842/with-gbdt-model", "kernel_id": "7061520"}, {"ref": "saitakli/lstm-working", "kernel_id": "7483439"}, {"ref": "mojtylor/simple-lstm", "kernel_id": "7493069"}, {"ref": "mingolovestime/kernel276501e036", "kernel_id": "7862756"}, {"ref": "sorenj/toxictransitions", "kernel_id": "7290475"}, {"ref": "hostil/jigsaw-2019-generalized-linear-model-on-bigrams", "kernel_id": "7583758"}, {"ref": "jtdsouza/bert-inference-jds", "kernel_id": "7882517"}, {"ref": "fulrose/fkms-eda", "kernel_id": "8735034"}, {"ref": "fulrose/fkms-bert-training", "kernel_id": "8762583"}, {"ref": "fulrose/fkms-data-generation", "kernel_id": "8801527"}, {"ref": "ahoo1260/ocr-post-correction-using-nlp-bert", "kernel_id": "8506912"}, {"ref": "dergel/jigsaw-toxicity-lstm-big-bert", "kernel_id": "8777002"}, {"ref": "reukki/lstm-study", "kernel_id": "8681892"}, {"ref": "mittamaria/toxic-comments-pytorch-lstm", "kernel_id": "8959972"}, {"ref": "tozzig/pytorch-bert-inference", "kernel_id": "9980013"}, {"ref": "ankushjain2001/the-effect-of-word-embeddings-on-bias", "kernel_id": "9381763"}, {"ref": "buntyshah/jigsaw-classification-lstm-content-moderation", "kernel_id": "9415213"}, {"ref": "erikhou/pytorch-bert-inference", "kernel_id": "9980523"}, {"ref": "alincijov/nlp-starter-continuous-bag-of-words-cbow", "kernel_id": "9415350"}, {"ref": "fatmaelzhraa/toxicity-classification", "kernel_id": "10587779"}, {"ref": "glorythesky/submit-test", "kernel_id": "10515619"}, {"ref": "fulrose/fkms-inference", "kernel_id": "10932780"}, {"ref": "saitakli/basic-biderectional-lstm-jigsaw", "kernel_id": "10608865"}, {"ref": "shubham10i/toxicity-classification-using-rnn", "kernel_id": "10796434"}, {"ref": "omarkhald/toxicity-classification-ipynb", "kernel_id": "10781102"}, {"ref": "fredericods/cpe882-feature-based-model-2-gram", "kernel_id": "11446659"}, {"ref": "fredericods/cpe882-feature-based-model-1-gram", "kernel_id": "11408394"}, {"ref": "reyadmorshed/toxic-bert-plain-vanila", "kernel_id": "11436100"}, {"ref": "realdeo/notebook518e81e276", "kernel_id": "12774496"}, {"ref": "fulrose/kakr-4th-seminar-feature-engineering", "kernel_id": "12608004"}, {"ref": "kagglebrun/lstm-using-glove", "kernel_id": "12110639"}, {"ref": "muhammadrehan444/toxicity-classification-step-by-step", "kernel_id": "12503055"}, {"ref": "emmamichael101/toxicity-bias-logistic-regression-tfidfvectorizer", "kernel_id": "13877116"}, {"ref": "naim99/tunizi-using-bert-embeddings", "kernel_id": "13947892"}, {"ref": "mayukhdutta/pytorch-bert-inference", "kernel_id": "14887075"}, {"ref": "kasmithh/unintended-bias-in-toxicity-data-view", "kernel_id": "14060493"}, {"ref": "amrutiashivani/nlp-toxicity-classification", "kernel_id": "14302930"}, {"ref": "prabhnoor0212/bert-pre-train", "kernel_id": "15126540"}, {"ref": "alexisbcook/exercise-identifying-bias-in-ai", "kernel_id": "15622654"}, {"ref": "hsinwenchang/kaggle-bipoc-grant-talk", "kernel_id": "16170342"}, {"ref": "georgezoto/intro-to-ai-ethics-identifying-bias-in-ai", "kernel_id": "16335794"}, {"ref": "vijendersingh412/the-effect-use-of-word-embeddings", "kernel_id": "16718972"}, {"ref": "abdokamr/starter-eda-baseline-tf-idf-lr", "kernel_id": "16975920"}, {"ref": "naim99/toxic-bert-plain-vanila", "kernel_id": "16158178"}, {"ref": "faridsharaf/jigwas-toxic-classification", "kernel_id": "16999427"}, {"ref": "dennisho/exercise-identifying-bias-in-ai", "kernel_id": "16360063"}, {"ref": "tsarikamurty2037059/exercise-identifying-bias-in-ai", "kernel_id": "16109447"}, {"ref": "swetko/cse416-identifying-bias-in-ai", "kernel_id": "16359680"}, {"ref": "mohamedtaha7/toxicity-from-text-gru-lstm", "kernel_id": "17016373"}, {"ref": "makatronium/toxicity-detection-and-minimizing-bias", "kernel_id": "17914152"}, {"ref": "moemenalaa97/assignment7", "kernel_id": "17014139"}, {"ref": "fahimmahmood/rnn-lstm", "kernel_id": "17979551"}, {"ref": "fahimmahmood/jigsaw-toxic-comment-detection", "kernel_id": "17850916"}, {"ref": "amiraabdelalim/notebook87071737e8", "kernel_id": "17011834"}, {"ref": "rajeshsundaram/exercise-identifying-bias-in-ai", "kernel_id": "17858977"}, {"ref": "nancyhassantaya/finalbert", "kernel_id": "17951020"}, {"ref": "spotbox/exercise-identifying-bias-in-ai", "kernel_id": "17004620"}, {"ref": "fulrose/ds-0722-problem-02", "kernel_id": "18744709"}, {"ref": "kroha5/toxicity-logreg", "kernel_id": "18483514"}, {"ref": "raisulju/jigsaw-unintended-bias-eda-preprocessing", "kernel_id": "18125405"}, {"ref": "gayatriilan/xlnet-finetuning-tensorflow", "kernel_id": "18953137"}, {"ref": "homiarafarhana/jigsaw-sgd", "kernel_id": "18052993"}, {"ref": "homiarafarhana/jigsaw-lstm", "kernel_id": "18052343"}, {"ref": "homiarafarhana/jigsaw-cnn", "kernel_id": "18052393"}, {"ref": "homiarafarhana/identifying-bias-and-possible-reason", "kernel_id": "18050805"}, {"ref": "vishweshsalodkar/jigsaw", "kernel_id": "18505797"}, {"ref": "fahimmahmood/bert-submission", "kernel_id": "18016639"}, {"ref": "afrinjubaida/toxicity", "kernel_id": "18051586"}, {"ref": "shohrabhossenniaz/toxicity-classification", "kernel_id": "18120784"}, {"ref": "aamartesu/ai4code-train-tfrankencoder", "kernel_id": "18840308"}, {"ref": "ameythakur20/exercise-identifying-bias-in-ai", "kernel_id": "18761640"}, {"ref": "sandynigs/jigsaw-cnn-model", "kernel_id": "20990555"}, {"ref": "sandynigs/ensemble-models-jigsaw", "kernel_id": "21111009"}, {"ref": "sandynigs/jigsaw-bidirectional-gru-model", "kernel_id": "21025880"}, {"ref": "minhazreza/toxicity-detection-with-four-preliminary-models", "kernel_id": "21996023"}, {"ref": "minhazreza/toxicity-classification-gru-lstm", "kernel_id": "21674612"}, {"ref": "junior10/j-toxicity-code", "kernel_id": "21870579"}, {"ref": "gauravbrills/jigsaw-luke-train-with-torch-xla", "kernel_id": "22093864"}, {"ref": "vspiral/notebook13528d02fb", "kernel_id": "22758948"}, {"ref": "yasufuminakama/jigsaw4-luke-base-starter-train", "kernel_id": "22071684"}, {"ref": "get2jawa/nlp-basic-eda-cleaning-lstm-lb-0-79", "kernel_id": "22076659"}, {"ref": "adldotori/all-in-one-dataset", "kernel_id": "22457529"}, {"ref": "seraphwedd18/jigsaw-toxic-severity-lightgbm-training", "kernel_id": "22098766"}, {"ref": "seraphwedd18/jigsaw-toxic-severity-word-usage-scoring", "kernel_id": "22226359"}, {"ref": "je0102/toxic-comment-detection-30e44f", "kernel_id": "22008534"}, {"ref": "dooneen/notebook585d78e2db", "kernel_id": "22772910"}, {"ref": "mst8823/roberta-base-with-jigsaw-toxic-comment-infer", "kernel_id": "22080361"}, {"ref": "mst8823/roberta-base-with-jigsaw-toxic-comment-train", "kernel_id": "22080309"}, {"ref": "yifanmikeyu/notebook513ea1233b", "kernel_id": "22568665"}, {"ref": "yifanmikeyu/simple-gru-bert", "kernel_id": "22599982"}, {"ref": "taoufikelkhaouja/toxic-comments-bert", "kernel_id": "22491902"}, {"ref": "huntergregory/ranking-toxicity-of-wikipedia-comments", "kernel_id": "22601516"}, {"ref": "masatomurakawamm/jigsaw-tftransformers-regressor-with-attention", "kernel_id": "22526189"}, {"ref": "masatomurakawamm/jigsaw-bert-tftransformers-baseline", "kernel_id": "22502790"}, {"ref": "zsofislosar/my-first-submission", "kernel_id": "22437217"}, {"ref": "shravankumar147/2-toxic-comment-data-preperation", "kernel_id": "23878289"}, {"ref": "kaerunantoka/jigsaw4-previous-data-preprocessing", "kernel_id": "23944044"}, {"ref": "hidebu/luke-base-add-datasets-private-0-8011", "kernel_id": "23820401"}, {"ref": "huntergregory/ranking-toxicity-of-wikipedia-comments-eda", "kernel_id": "23780414"}, {"ref": "preethgunasekaran/toxicity-eda-preprocessing", "kernel_id": "23801609"}, {"ref": "athirakaladharan/toxic-comment-classification-logreg-distilbert", "kernel_id": "23910880"}, {"ref": "zsofislosar/toxicity-data-prep", "kernel_id": "23775521"}, {"ref": "coreacasa/jigsaw4-luke-large-training-tito-cv-strategy", "kernel_id": "24434176"}, {"ref": "coreacasa/jigsaw4-luke-base-training-tito-cv-strategy", "kernel_id": "24433726"}, {"ref": "kaerunantoka/jigsaw4-create-additional-pair-w-jigsaw1", "kernel_id": "24449779"}, {"ref": "ilosvigil/jigsaw-train-debertav3-pytorch-lightning", "kernel_id": "24381771"}, {"ref": "dhainiksuthar/toxic-comment", "kernel_id": "24406367"}, {"ref": "dhainiksuthar/toxic-comment-classification", "kernel_id": "24449449"}, {"ref": "mfsher/mxfsher-kaggle-competition", "kernel_id": "24561967"}, {"ref": "lipech123/harmful-bias-data", "kernel_id": "24655084"}, {"ref": "viethoang97/sc203", "kernel_id": "25448872"}, {"ref": "minhazreza/target-community-identification", "kernel_id": "26148870"}, {"ref": "youin10uosai/wombat-inference-kernel", "kernel_id": "26653658"}, {"ref": "omarkhald/04-word-embeddings-ngrams-using-cnn", "kernel_id": "27545614"}, {"ref": "omarkhald/05-word-embeddings-lstm", "kernel_id": "27550796"}, {"ref": "omarkhald/01-classic-nlp-solution", "kernel_id": "27509413"}, {"ref": "omarkhald/02-classic-nlp-solution", "kernel_id": "27511727"}, {"ref": "omarkhald/03-simple-word-embeddings-solution", "kernel_id": "27516442"}, {"ref": "omarkhald/06-use-transformer-and-simple-nn", "kernel_id": "27603399"}, {"ref": "shaleenkalsi/bi-lstm-for-ner", "kernel_id": "28399331"}, {"ref": "mohammadaflahkhan/dataset-processing-for-targets", "kernel_id": "29548995"}, {"ref": "abdalrahmanshahrour/toxic-text-classification", "kernel_id": "29615608"}, {"ref": "akshatpattiwar/leaf-detection-classification", "kernel_id": "30301570"}, {"ref": "jarvis11/toxic-comment-classification-with-tuning", "kernel_id": "30197352"}, {"ref": "vinay2003/notebook9a821cb9a5", "kernel_id": "31565709"}, {"ref": "fulrose/fkms-preprocessing", "kernel_id": "32256359"}, {"ref": "gazu468/all-about-bert-you-need-to-know", "kernel_id": "32665951"}, {"ref": "matthewmazzaccaro/notebook4629e521b3", "kernel_id": "32449317"}, {"ref": "kiraigo/simple-lstm-pytorch-version", "kernel_id": "33643420"}, {"ref": "micheldc55/tutorial-eda-for-nlp-how-to-build-a-vocabulary", "kernel_id": "33423042"}, {"ref": "mayingning/assignment3", "kernel_id": "33361552"}, {"ref": "trngtrunghiu/519h0107-519h0164-so-7-bai-2-lr", "kernel_id": "33270643"}, {"ref": "trngtrunghiu/519h0107-519h0164-so-7-bai-2-rnn", "kernel_id": "33267158"}, {"ref": "anantpandey29/jubtc-complete-classification-approach", "kernel_id": "36012398"}, {"ref": "aceofspades4171/kaggle-project", "kernel_id": "36250703"}, {"ref": "mikhillal/toxic-comment-classification-lr-cnn-lstm", "kernel_id": "36938480"}, {"ref": "yahiamohamed/toxicity-classification", "kernel_id": "37382624"}, {"ref": "gpreda/jigsaw-comments-text-exploration", "kernel_id": "39607412"}, {"ref": "gpreda/jigsaw-predict-bert-small", "kernel_id": "39563418"}, {"ref": "gpreda/jigsaw-predict-bert-large", "kernel_id": "39564469"}, {"ref": "cthulhucoder/simple-lstm-gensim", "kernel_id": "39941786"}, {"ref": "gpreda/jigsaw-simple-baseline", "kernel_id": "40134269"}, {"ref": "suraj520/longformer-know-train-infer", "kernel_id": "40268937"}, {"ref": "metehanpolat1705/toxicdata", "kernel_id": "40660354"}, {"ref": "maksaiza/main-model", "kernel_id": "40244331"}, {"ref": "cthulhucoder/simple-lstm-pytorch-version", "kernel_id": "40030723"}, {"ref": "l048596/sarcasm-bert-tensorflow-79-39", "kernel_id": "41746811"}, {"ref": "sajudhamza/project", "kernel_id": "47812179"}, {"ref": "dhruvjoshi892/sajud-research-1", "kernel_id": "47281400"}, {"ref": "dhruvjoshi892/submitt", "kernel_id": "47811399"}, {"ref": "hodinhtrieu/keras-baseline-lstm-attention-5-fold", "kernel_id": "54330362"}, {"ref": "hk3820/jigsaw-bert-inference-dsga1017", "kernel_id": "54459978"}, {"ref": "cooperkaggle/unintended-bias-in-toxicity-classification", "kernel_id": "57145907"}, {"ref": "mahmoudelkarargy/toxiccommentclassification", "kernel_id": "58590849"}, {"ref": "mvvppp/l9-m3", "kernel_id": "61190111"}, {"ref": "hmmhmmh/jigsaw-dataset", "kernel_id": "61124624"}, {"ref": "hmmhmmh/jigsaw-2nd", "kernel_id": "61218608"}, {"ref": "irdeal/tfrecord-data-generation", "kernel_id": "61289489"}, {"ref": "alexanderkireev/04-ml-trainings-nlp", "kernel_id": "70487269"}, {"ref": "minihihihaha/jigsaw-bert-tftransformers-baseline", "kernel_id": "73449924"}, {"ref": "kienmaitrung/datacrawlingtesting", "kernel_id": "78337399"}, {"ref": "pengyili29/single-lstm-fan-xuanping-spbu", "kernel_id": "81853270"}, {"ref": "huxuebing/simple-lstm", "kernel_id": "83765845"}, {"ref": "hugomojicaangarita/datatoxicity", "kernel_id": "86900383"}, {"ref": "jazivxt/silence-of-the-sheeps-the-antisheple-puzzle", "kernel_id": "87815258"}, {"ref": "gayathrevaidya/open-lab3", "kernel_id": "92263575"}, {"ref": "yasmeenasaad/baseline-for-toxicity-classification", "kernel_id": "101489130"}, {"ref": "beghouraasma/final-version-pro-2", "kernel_id": "101795199"}, {"ref": "insunghw/jigsaw-gpt2-training", "kernel_id": "103427348"}, {"ref": "insunghw/jigsaw-gpt2-weighted-submission", "kernel_id": "103868738"}, {"ref": "robifr/notebooke00ba45380", "kernel_id": "103865577"}, {"ref": "vaaven/jigsaw-toxicity-nlp", "kernel_id": "112002063"}, {"ref": "sreerammaguluri/notebookc1b636d96f", "kernel_id": "113981577"}, {"ref": "sudhikshavalluru/notebookc87fedac39", "kernel_id": "113343152"}, {"ref": "ducalhp3/notebook2c95d15a32", "kernel_id": "116403807"}, {"ref": "dongtv1302/codetrenghub", "kernel_id": "117677271"}, {"ref": "mohdhamd/notebookc5460a54cf", "kernel_id": "118087426"}, {"ref": "nardeenezzzarif/bag-of-words-task", "kernel_id": "124261496"}, {"ref": "hishmaizamy/bias-aware-harmful-content-detection-2541880", "kernel_id": "128543933"}, {"ref": "saida889/atam-fet-notebook2b0707d227", "kernel_id": "129801524"}, {"ref": "aroy40001/atam-fet-enhanced-ipynb", "kernel_id": "131832288"}]}
{"competition_id": "12506", "kernels": []}
{"competition_id": "12512", "kernels": []}
{"competition_id": "12543", "kernels": [{"ref": "floppyapple123/baseline", "kernel_id": "2594983"}]}
{"competition_id": "12546", "kernels": [{"ref": "fongwith87592/team1", "kernel_id": "2909773"}]}
{"competition_id": "12552", "kernels": []}
{"competition_id": "12558", "kernels": [{"ref": "gregory711/wids19-line-counts-on-images-with-cv2", "kernel_id": "2971817"}, {"ref": "tcapelle/fastai-starter", "kernel_id": "2796615"}, {"ref": "jayjay75/analyse-submission", "kernel_id": "3079688"}, {"ref": "jayjay75/first-place-solution", "kernel_id": "3109892"}, {"ref": "shantanuo/fastai-starter", "kernel_id": "3699888"}, {"ref": "jiaqit5/widata-cv", "kernel_id": "3061381"}, {"ref": "hanzh0420/image-augmentation-with-opencv", "kernel_id": "3043551"}, {"ref": "hminhp/kernel9fe8e49101", "kernel_id": "3034380"}, {"ref": "svgglc/wids-cnn", "kernel_id": "3468577"}, {"ref": "elenalestini/elena-pytorch-1", "kernel_id": "3060037"}, {"ref": "csumontro/forked-ai", "kernel_id": "3065904"}, {"ref": "varsha300/fastai-starter", "kernel_id": "3066664"}, {"ref": "chopinforest/learning-deep-fastai-01-auc-0-993-20190714", "kernel_id": "4807961"}, {"ref": "samarthsarin/wids-model", "kernel_id": "5014907"}]}
{"competition_id": "12572", "kernels": []}
{"competition_id": "12573", "kernels": []}
{"competition_id": "12594", "kernels": []}
{"competition_id": "12598", "kernels": []}
{"competition_id": "12611", "kernels": [{"ref": "maniak/cat-dog-cnn", "kernel_id": "2960327"}]}
{"competition_id": "12631", "kernels": [{"ref": "dadiamond/notebookc4806e865c", "kernel_id": "16208716"}, {"ref": "angyalfold/fastai-imgmultilblclass-dseg660-step-by-step", "kernel_id": "21774166"}, {"ref": "pawito236/fastai-imgmultilblclass-dseg660-step-by-step", "kernel_id": "25344577"}, {"ref": "todisoanirinamickael/m1-multi-label-classification", "kernel_id": "49814455"}, {"ref": "xuandat7/fastai-imgmultilblclass-dseg660-step-by-step", "kernel_id": "70181253"}, {"ref": "conghuaan/fastai-imgmultilblclass-dseg660-step-b-216a3e", "kernel_id": "70191264"}]}
{"competition_id": "12633", "kernels": [{"ref": "azimahmadzadeh/getting-started", "kernel_id": "3586427"}, {"ref": "plarmuseau/getting-started", "kernel_id": "5150538"}]}
{"competition_id": "12638", "kernels": []}
{"competition_id": "12649", "kernels": []}
{"competition_id": "12652", "kernels": [{"ref": "earthshaker/diabetes", "kernel_id": "2858051"}, {"ref": "skyscraper25/how-i-got-77-27-acuuracy-on-pima-diabetes-dataset", "kernel_id": "2689792"}, {"ref": "jagdish2386/understanding-confusion-matrix", "kernel_id": "2779902"}, {"ref": "sreemae/diabetes", "kernel_id": "2673313"}, {"ref": "yuankang731/diabetes-classification", "kernel_id": "14711543"}, {"ref": "jurk06/xgboost-classification-lr-xgb-rf", "kernel_id": "16284138"}, {"ref": "rozerksh/diabetics", "kernel_id": "17574198"}, {"ref": "ajinkya03raut/diabetes", "kernel_id": "31455610"}, {"ref": "kruthi2112/understanding-confusion-matrix", "kernel_id": "44259468"}, {"ref": "laydadinklah/ece567-term-project", "kernel_id": "121809792"}]}
{"competition_id": "12653", "kernels": []}
{"competition_id": "12654", "kernels": []}
{"competition_id": "12655", "kernels": []}
{"competition_id": "12659", "kernels": []}
{"competition_id": "12666", "kernels": []}
{"competition_id": "12681", "kernels": [{"ref": "abhatia/kernel04ac4ba586", "kernel_id": "3782469"}, {"ref": "ashishg21/1-4th-labs-contest-1-2-level-2", "kernel_id": "3263879"}, {"ref": "ranasinghiitkgp/padhai-text-non-text-classification-level-2", "kernel_id": "3350124"}, {"ref": "shiva1210064/first", "kernel_id": "3173088"}, {"ref": "shwetagoyal4/level-2-contest", "kernel_id": "3173491"}, {"ref": "cynosuremishra01/text-no-text-level-2", "kernel_id": "3217116"}, {"ref": "ahunk90/sigmoidlevel2", "kernel_id": "3285765"}, {"ref": "vaibhavkumar049/first-version-vaibhav", "kernel_id": "3218853"}, {"ref": "darpraithatha/text-not-text-sn", "kernel_id": "3189970"}, {"ref": "ankitog/padhai-text-non-text-classification-level-2", "kernel_id": "3256988"}, {"ref": "shubham57/sigmoid-module-1-level-2", "kernel_id": "3210230"}, {"ref": "hemanthv55/text-no-text-level2", "kernel_id": "3204047"}, {"ref": "mudasarmakandar/first-level-2", "kernel_id": "3257376"}, {"ref": "mudasarmakandar/fork-of-first-level-2", "kernel_id": "3350032"}, {"ref": "ritwikdalmia/text-prediction-level-2", "kernel_id": "3275720"}, {"ref": "sheebaer/text-no-text-level-2", "kernel_id": "3283431"}, {"ref": "dnmanveet/text-or-no-text-level-2", "kernel_id": "3220164"}, {"ref": "manojkamat/textnotext2", "kernel_id": "3215082"}, {"ref": "ariharanv/first-version-with-changed-learning-rate", "kernel_id": "3216046"}, {"ref": "kabdulbasith/signeuron-text-notext-contest1-2-2", "kernel_id": "3265549"}, {"ref": "navneetsajwan/text-no-text-classifier-made-from-sigmoid-neuron", "kernel_id": "4847183"}, {"ref": "aditi81k/binary-classification-level-2", "kernel_id": "8200277"}, {"ref": "aakashkr/aakn-level-2", "kernel_id": "9994824"}]}
{"competition_id": "12686", "kernels": []}
{"competition_id": "12705", "kernels": []}
{"competition_id": "12708", "kernels": []}
{"competition_id": "12716", "kernels": [{"ref": "inversion/starter-kernel-yt8m-2019-sample-data", "kernel_id": "4529558"}, {"ref": "tbmoon/how-to-save-tfrecord-into-npy-too-slow", "kernel_id": "4686868"}, {"ref": "ayoubchebbi/the-3rd-youtube-8m-video-understanding-challenge", "kernel_id": "4635390"}, {"ref": "isikkuntay/vid-to-seg-predictions", "kernel_id": "4960840"}, {"ref": "isikkuntay/train-set-for-nn-under-construction", "kernel_id": "4720837"}, {"ref": "jesucristo/analysis-youtube8m-2019", "kernel_id": "4552165"}, {"ref": "aqeelnawaz44/analyse-kernal", "kernel_id": "4559475"}, {"ref": "frostxu/annotation-analysis-help-to-understand", "kernel_id": "4644330"}, {"ref": "senorcampos/the-peak-muffin-moment", "kernel_id": "5165549"}, {"ref": "sinchanbhattacharya/eda-word-cloud", "kernel_id": "5087079"}, {"ref": "sumanthmeenan/video-understanding", "kernel_id": "5645875"}, {"ref": "anshuljdhingra/analysis-youtube8m-2019", "kernel_id": "5295272"}, {"ref": "anshuljdhingra/3rd-youtube-video-understanding", "kernel_id": "5295275"}, {"ref": "plengnakdee/draft-1", "kernel_id": "5482363"}, {"ref": "pavanchalla/analysis-youtube8m-2019", "kernel_id": "5699851"}, {"ref": "thehandler/kernel3a0d441f2e", "kernel_id": "5893736"}, {"ref": "lixiawei15/hotpot-discuss", "kernel_id": "5642658"}, {"ref": "sekrier/bronze-with-last-year-sub-and-video-length", "kernel_id": "6193186"}, {"ref": "jagannathrk/analysis-youtube8m-2019", "kernel_id": "6979402"}, {"ref": "artyomp/stronger-baseline-with-pytorch", "kernel_id": "6182030"}, {"ref": "psnonis/pytorch-baseline", "kernel_id": "7707806"}, {"ref": "lasyaedunuri/starter-kernel-yt8m-2019-sample-data", "kernel_id": "72135330"}]}
{"competition_id": "12717", "kernels": []}
{"competition_id": "12718", "kernels": []}
{"competition_id": "12719", "kernels": []}
{"competition_id": "12720", "kernels": []}
{"competition_id": "12722", "kernels": []}
{"competition_id": "12724", "kernels": []}
{"competition_id": "12727", "kernels": []}
{"competition_id": "12731", "kernels": []}
{"competition_id": "12733", "kernels": []}
{"competition_id": "12739", "kernels": []}
{"competition_id": "12742", "kernels": []}
{"competition_id": "12743", "kernels": [{"ref": "stefankupers/kernel4e5027a74e", "kernel_id": "2736319"}]}
{"competition_id": "12750", "kernels": []}
{"competition_id": "12758", "kernels": []}
{"competition_id": "12760", "kernels": []}
{"competition_id": "12797", "kernels": [{"ref": "fschilder/simple-wiki-title-baseline", "kernel_id": "2843645"}, {"ref": "fschilder/simple-baseline-based-on-prior-distribution", "kernel_id": "2895967"}, {"ref": "bguberfain/sentences-with-highlight", "kernel_id": "2865741"}, {"ref": "tminima/genedered-pronoun-resolution-eda", "kernel_id": "2896803"}, {"ref": "sattree/1-coref-visualization-jupyter-allenlp-stanford", "kernel_id": "2988306"}, {"ref": "sattree/2-reproducing-gap-results", "kernel_id": "2999422"}, {"ref": "mamamot/resolving-coreference-with-neuralcoref", "kernel_id": "2901363"}, {"ref": "shujian/ml-model-example-with-train-test", "kernel_id": "2896544"}, {"ref": "paulorzp/perfect-score-in-one-line", "kernel_id": "2872503"}, {"ref": "ruchibahl18/some-dumb-formula", "kernel_id": "2891961"}, {"ref": "semack/quick-gap-exploration", "kernel_id": "2846199"}, {"ref": "kjeanclaude/the-required-dataset-transformation", "kernel_id": "2880295"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "ashishpatel26/word-embedding-with-beginner-to-advance", "kernel_id": "2761917"}, {"ref": "ashishpatel26/research-summary-with-co-reference-resolutions", "kernel_id": "2858395"}, {"ref": "jseijas/extracting-some-information-with-spacy", "kernel_id": "2865094"}, {"ref": "ryches/applying-spacy-coreference-but-nothing-goes-right", "kernel_id": "2866225"}, {"ref": "eoveson/ml-model-with-spacy-coref-feature", "kernel_id": "2942474"}, {"ref": "eliseygusev/perfect-lb-score-in-5-lines-of-code-1", "kernel_id": "2846432"}, {"ref": "keyit92/coref-by-mlp-cnn-coattention", "kernel_id": "2895649"}, {"ref": "tanreinama/using-maltparser", "kernel_id": "2871926"}, {"ref": "yukinkgwa/lightgbm-cv-example-with-train-test", "kernel_id": "2897818"}, {"ref": "sunilcube/text-data-gendered-pronoun-resolution", "kernel_id": "2929030"}, {"ref": "isikkuntay/gru-with-attention", "kernel_id": "2913972"}, {"ref": "jazivxt/pro-noun-pro-gram", "kernel_id": "2844661"}, {"ref": "jazivxt/ml-model-example-with-train-test", "kernel_id": "2894439"}, {"ref": "bayethierno/adds-the-none-column-in-the-3-data-sets", "kernel_id": "2899317"}, {"ref": "cloverdharmendra/one-line-code-simple", "kernel_id": "2874738"}, {"ref": "tks0123456789/one-example-caused-error-during-preprecessing", "kernel_id": "3620614"}, {"ref": "tks0123456789/offsets-model", "kernel_id": "3577796"}, {"ref": "tks0123456789/nli-by-bert-pytorch", "kernel_id": "3405593"}, {"ref": "lapolonio/bert-squad-forked-from-sergeykalutsky", "kernel_id": "3052911"}, {"ref": "ceshine/pytorch-bert-baseline-public-score-0-54", "kernel_id": "3151115"}, {"ref": "ceshine/pytorch-bert-selfattentivespanextractor", "kernel_id": "3295261"}, {"ref": "ceshine/pytorch-bert-endpointspanextractor-kfold", "kernel_id": "3309888"}, {"ref": "ceshine/pytorch-using-deterministic-bert-features", "kernel_id": "3424825"}, {"ref": "ceshine/pytorch-bert-simplified-score-layer", "kernel_id": "3443063"}, {"ref": "kashnitsky/simple-logistic-regression-bert-0-27-lb", "kernel_id": "3548243"}, {"ref": "abevieiramota/001-avm-exploratory-data-analysis", "kernel_id": "3127294"}, {"ref": "abevieiramota/analyzing-possible-mislabeled-data", "kernel_id": "3244546"}, {"ref": "sattree/3-a-better-baseline", "kernel_id": "3123978"}, {"ref": "amitkumarjaiswal/stage-2", "kernel_id": "3609297"}, {"ref": "mamamot/catching-up-with-bert-stacking-public-solutions", "kernel_id": "3124921"}, {"ref": "mamamot/fastai-awd-lstm-solution-0-71-lb", "kernel_id": "3065122"}, {"ref": "wrosinski/lstm-attention-clean-baseline", "kernel_id": "3264696"}, {"ref": "sdgjalkfjasa/feature-highlight-py", "kernel_id": "3223373"}, {"ref": "joeytaj/bert-embeddings-for-spacy", "kernel_id": "3200368"}, {"ref": "wochidadonggua/elmo-baseline", "kernel_id": "3307187"}, {"ref": "wochidadonggua/bert-finetuning-classifier", "kernel_id": "3485073"}, {"ref": "wochidadonggua/bert-using-fine-tuning-model", "kernel_id": "3485945"}, {"ref": "dmytrobabenko/simple-ml-model", "kernel_id": "3681788"}, {"ref": "ichabuddaeta/pronoun-subject-distances", "kernel_id": "3564210"}, {"ref": "keyit92/end2end-coref-resolution-by-attention-rnn", "kernel_id": "3032869"}, {"ref": "ziliwang/fork-of-fine-tuning-with-attention", "kernel_id": "3893695"}, {"ref": "ziliwang/fine-tuning-with-attention", "kernel_id": "3763353"}, {"ref": "ziliwang/feature-based-approach-with-attention", "kernel_id": "3752463"}, {"ref": "ziliwang/feature-based-approach-with-meanpooling", "kernel_id": "3745915"}, {"ref": "negedng/extracting-features-from-spacy-dependency", "kernel_id": "3338077"}, {"ref": "ming666/a-simple-visual-tree-for-the-two-candidates", "kernel_id": "3471079"}, {"ref": "rocki37/gendered-pronoun-framework", "kernel_id": "3068023"}, {"ref": "xzt12345/top-3-nlp-libraries-tutorial-nltk-spacy-gensim", "kernel_id": "3239024"}, {"ref": "victorhz/submission-densenet", "kernel_id": "3663832"}, {"ref": "victorhz/fork-of-fork-of-densenet201", "kernel_id": "3640648"}, {"ref": "omarqasim/end2end-gap", "kernel_id": "3837117"}, {"ref": "omarqasim/g-a-p", "kernel_id": "3625606"}, {"ref": "isikkuntay/bert-feature", "kernel_id": "3308267"}, {"ref": "isikkuntay/generalizing-names", "kernel_id": "3445445"}, {"ref": "isikkuntay/simple-nlp", "kernel_id": "3145960"}, {"ref": "isikkuntay/fast-n-e-z", "kernel_id": "3001116"}, {"ref": "chanhu/bert-score-layer-kfold-weightdecay-0-486", "kernel_id": "3423827"}, {"ref": "chanhu/bert-score-layer-lb-0-475", "kernel_id": "3380326"}, {"ref": "harshitholmes/final-shot", "kernel_id": "3652506"}, {"ref": "gdoteof/kernel55afed7533", "kernel_id": "3603363"}, {"ref": "gdoteof/pytorch-bert-baseline-wd-epochs-cnn-lstm", "kernel_id": "3412975"}, {"ref": "ajrinfosytems/learning-the-approach", "kernel_id": "3296926"}, {"ref": "sharmilaupadhyaya/kernelc7d1be8af7", "kernel_id": "3544896"}, {"ref": "jazivxt/fork-of-ml-model-example-with-train-test", "kernel_id": "3640289"}, {"ref": "kenkrige/bert-example-prep", "kernel_id": "3671749"}, {"ref": "hnleolee/taming-the-bert-a-baseline", "kernel_id": "3205703"}, {"ref": "hnleolee/top-3-nlp-libraries-tutorial-nltk-spacy-gensim", "kernel_id": "3118247"}, {"ref": "mateiionita/visualizing-bert-embeddings-with-t-sne", "kernel_id": "3653386"}, {"ref": "mateiionita/taming-the-bert-a-baseline", "kernel_id": "3155308"}, {"ref": "mateiionita/visualizing-bert-plus-an-unsupervised-solution", "kernel_id": "3211534"}, {"ref": "atsushi015/mbti-prediction-with-forked-bert-classifier", "kernel_id": "3642458"}, {"ref": "dummydevacc/gap-submission-2", "kernel_id": "3371475"}, {"ref": "pheell/look-ma-no-embeddings", "kernel_id": "3527760"}, {"ref": "wang540792740/improving-with-kford", "kernel_id": "3596076"}, {"ref": "sclczk/gender-pronoun-resolution", "kernel_id": "4524105"}, {"ref": "ibrahimmukherjee/top-3-nlp-libraries-tutorial-nltk-spacy-gensim", "kernel_id": "4902825"}, {"ref": "daladiersampaio/trabalho-machine-learning", "kernel_id": "4063523"}, {"ref": "schorsi/gendered-pronoun-eda", "kernel_id": "6280110"}, {"ref": "amoghmulge1/bert-score-layer-lb-0-475", "kernel_id": "6902718"}, {"ref": "jagannathrk/top-3-nlp-libraries-tutorial-nltk-spacy-gensim", "kernel_id": "7009838"}, {"ref": "arifali77/simple-logistic-regression-bert-gender-pronoun", "kernel_id": "7541310"}, {"ref": "arifali77/top-3-nlp-libraries-tutorial-nltk-spacy-gensim", "kernel_id": "7414329"}, {"ref": "arifali77/gender-pronoun-resolution-bert", "kernel_id": "7355346"}, {"ref": "busra88/resolving-coreference-with-neuralcoref", "kernel_id": "8630967"}, {"ref": "mj9239/bert-some-features", "kernel_id": "10776562"}, {"ref": "hhhhhhhhhhhhhj/taming-the-bert-a-baseline", "kernel_id": "11539215"}, {"ref": "ayushkumar0801/a-simple-bert-model", "kernel_id": "11400829"}, {"ref": "pkc257/gprwithbert-logisticregression", "kernel_id": "11426925"}, {"ref": "adithyakag/taming-the-bert-a-baseline", "kernel_id": "12805812"}, {"ref": "nimishapundir/nimisha-321", "kernel_id": "12994616"}, {"ref": "nimishapundir/ml-model-example-with-train-test", "kernel_id": "13131782"}, {"ref": "atsushi015/fork-of-bert-finetuning-classifier-2f3b72", "kernel_id": "16928843"}, {"ref": "surajshiwal/visualizing-text-bbc-news", "kernel_id": "28365963"}, {"ref": "nguyentrongmanh/coreferent-vn", "kernel_id": "39005764"}]}
{"competition_id": "12801", "kernels": []}
{"competition_id": "12805", "kernels": [{"ref": "ananaymital/car-prob", "kernel_id": "2829721"}]}
{"competition_id": "12814", "kernels": [{"ref": "mikeskim/fastknn-1nn", "kernel_id": "3648318"}, {"ref": "ofentswe/careervillage-recommendations-from-professionals", "kernel_id": "3664705"}, {"ref": "ceshine/an-attemplt-to-visualize-topic-model-lda", "kernel_id": "3554952"}, {"ref": "ceshine/remove-html-tags-using-beautifulsoup", "kernel_id": "3543805"}, {"ref": "ceshine/tag-visualization-with-universal-sentence-encoder", "kernel_id": "3590000"}, {"ref": "ambarish/career-village-contentbased-recommender", "kernel_id": "3145664"}, {"ref": "ambarish/careervillage-collaborativefiltering", "kernel_id": "3134566"}, {"ref": "ambarish/data-insights-career-village", "kernel_id": "3652395"}, {"ref": "arunsankar/key-insights-from-career-village-data", "kernel_id": "3097288"}, {"ref": "ogakulov/eda-and-erd-for-careervillage-challenge", "kernel_id": "3085316"}, {"ref": "maheshdadhich/recommendation-engine", "kernel_id": "3673209"}, {"ref": "mytymohan/ds-for-good-careervillage-org-fun-with-eda", "kernel_id": "3093620"}, {"ref": "crawford/starter-kernel", "kernel_id": "3080575"}, {"ref": "stahh007/eda-visualization-kmeans-clustering", "kernel_id": "3201050"}, {"ref": "farazrahman/careervillage-initial-analysis", "kernel_id": "3085565"}, {"ref": "farazrahman/cv-binarymatrix-collaborative-filtering-method", "kernel_id": "3621862"}, {"ref": "ankur310794/ressys-cb-cf-hybrid-bert", "kernel_id": "3666321"}, {"ref": "ferdzso/knowledge-graph-analysis-with-node2vec", "kernel_id": "3372812"}, {"ref": "deka108/initial-data-analysis", "kernel_id": "3085078"}, {"ref": "shparki/dsfg-a-tag-oriented-approach-part-i-wip", "kernel_id": "3106597"}, {"ref": "heena34/what-s-the-profession-of-volunteers", "kernel_id": "3087858"}, {"ref": "harmeggels/question-embeddings-for-careervillage-org", "kernel_id": "3379019"}, {"ref": "fkosmowski/part-1-careervillage-org-solution-overview", "kernel_id": "3635511"}, {"ref": "fkosmowski/part-2-student-to-professional-affinities", "kernel_id": "3635274"}, {"ref": "fkosmowski/part-3-content-based-domain-knowledge", "kernel_id": "3635496"}, {"ref": "fkosmowski/part-4-content-based-questions-similarities", "kernel_id": "3635780"}, {"ref": "fkosmowski/final-recommender-optimized-with-previous-answers", "kernel_id": "3635808"}, {"ref": "savanmorya/different-angle-at-thecareervillage-ip", "kernel_id": "3165962"}, {"ref": "teenutarcis/careervillage-recommendation-system", "kernel_id": "3162905"}, {"ref": "ioohooi/eda-with-some-insights-data-er-diagram", "kernel_id": "3102335"}, {"ref": "hamzael1/epsilon-greedy-latent-recommender", "kernel_id": "3384776"}, {"ref": "hamzael1/an-extensive-eda-for-careervillage", "kernel_id": "3186765"}, {"ref": "anu0012/quick-start-eda-careervillage-org", "kernel_id": "3095998"}, {"ref": "koki25ando/lda-topic-modeling-careervillage-org-data", "kernel_id": "3240100"}, {"ref": "parselt/career-village", "kernel_id": "3638613"}, {"ref": "arjundas/eda-and-recommendation-careervillage", "kernel_id": "3556360"}, {"ref": "arjundas/when-i-grow-up-i-want-to-be", "kernel_id": "3261465"}, {"ref": "plarmuseau/design-train-test", "kernel_id": "3162279"}, {"ref": "plarmuseau/match-question-answers", "kernel_id": "3207271"}, {"ref": "akshayt19nayak/part-i-yet-another-eda-strategy-useful-links", "kernel_id": "3462570"}, {"ref": "akshayt19nayak/part-ii-tag-recsys-cosine-levenshtein-dist", "kernel_id": "3579573"}, {"ref": "akshayt19nayak/part-iii-nlp-word-mover-distance", "kernel_id": "3657118"}, {"ref": "sekhar2017/careervillage-recommendation-system-d5dae4", "kernel_id": "3672941"}, {"ref": "vbookshelf/data-prep-for-career-village-recsys", "kernel_id": "3421012"}, {"ref": "vbookshelf/a-quick-and-simple-solution", "kernel_id": "3101892"}, {"ref": "vbookshelf/ikigai-a-career-village-recsys", "kernel_id": "3521534"}, {"ref": "niyamatalmass/lightfm-hybrid-recommendation-system", "kernel_id": "3475376"}, {"ref": "mchatham/eda-careervillage", "kernel_id": "3085801"}, {"ref": "bharatsingh213/career-recommendation", "kernel_id": "3210275"}, {"ref": "spurryag/eda-n-gram-text-cleaning", "kernel_id": "3088347"}, {"ref": "jchar217/updated-eda-assignment-problem-solution", "kernel_id": "3115817"}, {"ref": "wjshenggggg/career-village-9", "kernel_id": "3442547"}, {"ref": "wjshenggggg/update-5-text-processing", "kernel_id": "3098120"}, {"ref": "jeremydai/using-similarity-to-recommend-professionals", "kernel_id": "3488760"}, {"ref": "erikbruin/careervillage-org-data-exploration", "kernel_id": "3141100"}, {"ref": "siweiluo/variational-autoencoder-vae-recommendation", "kernel_id": "3612018"}, {"ref": "jlardieri5/simple-eda", "kernel_id": "3084713"}, {"ref": "bshyammm/career-village-dual-recommendation-system", "kernel_id": "3662214"}, {"ref": "dsurrao/fasttext-nlp-classification-to-generate-tags", "kernel_id": "3350928"}, {"ref": "nasirislamsujan/eda-data-science-for-good", "kernel_id": "3086050"}, {"ref": "mshaked/it-takes-a-village-and-a-markov-model", "kernel_id": "3156695"}, {"ref": "fairlady12315/eda-careervillage-text-analysis", "kernel_id": "3392955"}, {"ref": "ankitjaadoo/eda-data-science-for-good", "kernel_id": "3087255"}, {"ref": "heidihxm/careervillage-general-analysis", "kernel_id": "3639042"}, {"ref": "brendanhasz/career-village-question-recommender", "kernel_id": "3587545"}, {"ref": "brendanhasz/bert-in-kernels", "kernel_id": "3580107"}, {"ref": "sachingg/carrervillage-dataview", "kernel_id": "3604288"}, {"ref": "elli678/complex-solution-to-careervillage-org", "kernel_id": "3653048"}, {"ref": "willbrazil/kernel58af5d2208", "kernel_id": "3155302"}, {"ref": "infocusp/deepdive-into-careervillage", "kernel_id": "3178324"}, {"ref": "silvertop/select-author-cv", "kernel_id": "3541457"}, {"ref": "danielbecker/careervillage-org-recommendation-engine", "kernel_id": "3105756"}, {"ref": "tagboola/recommendations-with-collaborative-filtering", "kernel_id": "3105083"}, {"ref": "ironben/networkbased-eda-nlp-rec-engine", "kernel_id": "3216674"}, {"ref": "ironben/rdbs-to-graphdb-neo4j-network-approach", "kernel_id": "3118895"}, {"ref": "sobrinomario/a-tag-based-recommender-system-for-careervillage", "kernel_id": "3669330"}, {"ref": "prthmsh/eda-data-starter", "kernel_id": "3086031"}, {"ref": "ashirwadsangwan/some-cool-visualizations", "kernel_id": "3096024"}, {"ref": "frissontek/recommendation-engine-for-career-village", "kernel_id": "3465801"}, {"ref": "dorothymantooth707/kernel48aeec170d", "kernel_id": "3084184"}, {"ref": "wokaadita/recommended-question-for-professionals-woka", "kernel_id": "3664220"}, {"ref": "wokaadita/recommended-question-for-professional-woka-aditama", "kernel_id": "3650459"}, {"ref": "alexbonella/careervillage-eda-data-cleaning-text-analysis", "kernel_id": "3146750"}, {"ref": "rdhnw1/triage-recommender-with-cold-start", "kernel_id": "3119820"}, {"ref": "arlen444/efficient-analysis-with-performance-plan", "kernel_id": "3096005"}, {"ref": "tavoglc/autoencoder-recommendation-system", "kernel_id": "3620061"}, {"ref": "ydamoiseau/eda-questions-answers-and-tags", "kernel_id": "3134665"}, {"ref": "mbaqer/careervillage-data-exploration", "kernel_id": "3221732"}, {"ref": "jeeudev/report-careervilage-jeeu", "kernel_id": "3650539"}, {"ref": "yangcode/separation-cleaning-reprocessing-visualization", "kernel_id": "3100466"}, {"ref": "reejungkim/career-village-data-exploration", "kernel_id": "3244900"}, {"ref": "kyran0255/predict-professional-s-industry-for-careervilage", "kernel_id": "3659000"}, {"ref": "aseeph/good-career-village-a-fast-and-quick-look", "kernel_id": "3204095"}, {"ref": "ainseiler/general-performance-indikator-for-a-professional", "kernel_id": "3116428"}, {"ref": "moladan123/career-village-pro-matching-using-clustering", "kernel_id": "3468720"}, {"ref": "gehadmohsen95/carrervillage-recommender", "kernel_id": "3254969"}, {"ref": "ididur/nn-based-recommender-engine", "kernel_id": "3663122"}, {"ref": "ibrahimmukherjee/nn-based-recommender-engine", "kernel_id": "4884854"}, {"ref": "ridhimashinde23/careervillagedata", "kernel_id": "4926965"}, {"ref": "aqsa2777/aqsa-cv", "kernel_id": "4752876"}, {"ref": "moresushil/starter-kernel-wsushil", "kernel_id": "4992552"}, {"ref": "smrutiranjan/careervillage-org-recommendation-engine", "kernel_id": "5805802"}, {"ref": "lhd0430/dsfg-careervillage", "kernel_id": "5359501"}, {"ref": "adheep/global-terrorism", "kernel_id": "5421230"}, {"ref": "gayathrys/lda-recommend", "kernel_id": "6709590"}, {"ref": "memioglum/careervillage-org-topic-modeling-with-nmf", "kernel_id": "6000314"}, {"ref": "asrsaiteja/career-village-rec-sys-data-preprocess", "kernel_id": "7074711"}, {"ref": "arifali77/nn-based-recommender-engine-carreervillage", "kernel_id": "7215840"}, {"ref": "arifali77/careervillage-org-recommendation-engine", "kernel_id": "7138532"}, {"ref": "reemasebi/search-engine", "kernel_id": "9509284"}, {"ref": "harshkothari21/beginners-notebook-with-eda", "kernel_id": "9001124"}, {"ref": "cuan1407/career-recomendation", "kernel_id": "18722224"}, {"ref": "taxberg/sentence-encoder-x-collaborative-filtering", "kernel_id": "20723277"}, {"ref": "imanmkhamis/knowledge-graph-analysis-with-node2vec", "kernel_id": "24808064"}, {"ref": "ityt26/h-khuy-n-ngh-lightfm", "kernel_id": "25649403"}, {"ref": "ityt26/chuy-n-6-1-h-khuy-n-ngh-lightfm", "kernel_id": "26842893"}, {"ref": "hitarthagarwal/basic-eda-on-the-dataset", "kernel_id": "28190107"}, {"ref": "mashodrana/recommendation-based-on-tags", "kernel_id": "32902087"}, {"ref": "paritoshtripathi/ressys-cb-cf-hybrid-bert", "kernel_id": "32489987"}, {"ref": "shauryapanwar/ressys-cb-cf-hybrid-bert", "kernel_id": "32490758"}, {"ref": "wairegibetty/nlp-recommendation-model", "kernel_id": "33482606"}, {"ref": "tariquepce/lightfm-hybrid-recommendation-system", "kernel_id": "55008161"}, {"ref": "yukyoungchoi/lightfm-hybrid-recommendation-system", "kernel_id": "78295293"}, {"ref": "gourikhan/ikigai-a-career-recommendation-engine", "kernel_id": "79228214"}]}
{"competition_id": "12840", "kernels": []}
{"competition_id": "12844", "kernels": [{"ref": "andreisaw/linearreg-primitive-without-date", "kernel_id": "2915496"}, {"ref": "litekiwiyoghurt/randomsubmissionwhodis", "kernel_id": "2788462"}]}
{"competition_id": "12845", "kernels": []}
{"competition_id": "12851", "kernels": []}
{"competition_id": "12863", "kernels": [{"ref": "mistyn/qa-tf2-eda-of-input-and-training-set-response-data", "kernel_id": "6508451"}, {"ref": "ceshine/tfqa-inference", "kernel_id": "6973312"}, {"ref": "philculliton/tf2-0-baseline-w-bert", "kernel_id": "6390205"}, {"ref": "philculliton/using-tensorflow-2-0-w-bert-on-nq", "kernel_id": "6391865"}, {"ref": "kashnitsky/one-bit-at-a-time-lb-probing", "kernel_id": "6639702"}, {"ref": "kentaronakanishi/eda-question-text-and-annotations-wip", "kernel_id": "6445459"}, {"ref": "petrov/first-long-paragraph", "kernel_id": "6626294"}, {"ref": "rooshroosh/tf2-0-qa-binary-classification-baseline", "kernel_id": "6472511"}, {"ref": "opanichev/tf2-0-qa-feature-extraction", "kernel_id": "6515835"}, {"ref": "opanichev/tf2-0-qa-binary-classification-baseline", "kernel_id": "6442458"}, {"ref": "opanichev/text-similarity-baseline", "kernel_id": "6431432"}, {"ref": "skylord/first-long-paragraph", "kernel_id": "6859224"}, {"ref": "ymcdull/tensorflow-2-0-edited", "kernel_id": "6783412"}, {"ref": "akashram/document-question-clustering", "kernel_id": "6441718"}, {"ref": "ash16win/exploratory-text-analysis-and-feature-addition", "kernel_id": "6841154"}, {"ref": "tnbalankura/sklearn-tf-idf-ranking", "kernel_id": "6604665"}, {"ref": "tnbalankura/reading-the-training-data", "kernel_id": "6577666"}, {"ref": "prokaj/bert-preprocess-notebook", "kernel_id": "6695206"}, {"ref": "prokaj/bert-joint-baseline-notebook", "kernel_id": "6657035"}, {"ref": "jagannathrk/tf-2-0-bert-on-nq", "kernel_id": "6747646"}, {"ref": "jagannathrk/tf2-0-baseline-w-bert-translated-to-tf2-0", "kernel_id": "6744522"}, {"ref": "tyagit3/tfqa-visualise-qa", "kernel_id": "6429365"}, {"ref": "seshurajup/yes-question-analysis-word2vec-tsne", "kernel_id": "6477390"}, {"ref": "burhankhan/bert-for-humans-tutorial-baseline", "kernel_id": "6960718"}, {"ref": "axel81/hugging-face-transformers-pytorch-setup", "kernel_id": "6654556"}, {"ref": "plarmuseau/kernel5e5eeac4da", "kernel_id": "6533246"}, {"ref": "arvindpdmn/basic-submission", "kernel_id": "6815631"}, {"ref": "dimitreoliveira/using-tf-2-0-w-bert-on-nq-translated-to-tf2-0", "kernel_id": "6423260"}, {"ref": "dimitreoliveira/tf2-0-baseline-w-bert-translated-to-tf2-0", "kernel_id": "6450863"}, {"ref": "ragnar123/exploratory-data-analysis-and-baseline", "kernel_id": "6435068"}, {"ref": "sanikamal/question-answering-eda", "kernel_id": "6467455"}, {"ref": "kishan94/tf2-0-qa-json-answers-extractor-to-pandas", "kernel_id": "6471159"}, {"ref": "negedng/bert-embeddings-with-tensorflow-2-0-example", "kernel_id": "6443214"}, {"ref": "yihdarshieh/my-training", "kernel_id": "6857772"}, {"ref": "feanorpk/create-dataframe-and-save-it-as-a-dataset", "kernel_id": "6599710"}, {"ref": "hamditarek/topic-modeling-lsa-and-lda", "kernel_id": "6594912"}, {"ref": "khairulislam/intro-to-dataset", "kernel_id": "6434505"}, {"ref": "snovaisg/just-another-exploratory-data-analysis", "kernel_id": "6501686"}, {"ref": "snovaisg/text-similarity-baseline", "kernel_id": "6595375"}, {"ref": "snovaisg/tfutils-py", "kernel_id": "6563513"}, {"ref": "kuroko1t/bert-for-humans-tutorial-baseline", "kernel_id": "6998635"}, {"ref": "isikkuntay/bert-and-bidaf", "kernel_id": "6963276"}, {"ref": "isikkuntay/eda-and-baseline-cover", "kernel_id": "6570534"}, {"ref": "yutanakamura/nlp-express-0-data-loading-visualization", "kernel_id": "6421711"}, {"ref": "sakami/tfqa-pytorch-baseline", "kernel_id": "6762737"}, {"ref": "siriuself/tf-qa-wwm-verifier-forked", "kernel_id": "6578506"}, {"ref": "alexxxtyurin/kernel6682ac6c56", "kernel_id": "6488338"}, {"ref": "higepon/how-to-get-public-score-quickly", "kernel_id": "6905672"}, {"ref": "xhlulu/tf2-qa-lstm-inference-kernel", "kernel_id": "6473174"}, {"ref": "xhlulu/tf2-qa-lstm-for-long-answers-predictions", "kernel_id": "6463869"}, {"ref": "xhlulu/tf-qa-jsonl-to-dataframe", "kernel_id": "6438477"}, {"ref": "jazivxt/on-the-professor-and-the-madman", "kernel_id": "6592576"}, {"ref": "shihono/analyze-very-long-answer", "kernel_id": "6550279"}, {"ref": "lozoronca/nlp-express-0-data-loading-visualization", "kernel_id": "6436660"}, {"ref": "umegummy/kernel11d39c5a30", "kernel_id": "6614528"}, {"ref": "lyyanlely/tf2-0-baseline-w-bert", "kernel_id": "6767994"}, {"ref": "mmmarchetti/basic-tools-for-text-processing", "kernel_id": "6522872"}, {"ref": "mmmarchetti/tensorflow-2-0-bert-yes-no-answers", "kernel_id": "6668448"}, {"ref": "mmmarchetti/jigsaw-google-q-a-eda-iii", "kernel_id": "6658132"}, {"ref": "mmmarchetti/tensorflow-2-0-bert", "kernel_id": "6995745"}, {"ref": "jonathandickson/my-submission-code", "kernel_id": "6993857"}, {"ref": "ruhong/tensorflow2-question-answering", "kernel_id": "7637880"}, {"ref": "jiweiliu/jb-tf-2-0", "kernel_id": "7407952"}, {"ref": "kashnitsky/solid-bert-joint-baseline-0-65-0-66", "kernel_id": "7643681"}, {"ref": "user189546/tfqa-bert-train", "kernel_id": "7395292"}, {"ref": "kentaronakanishi/my-custom-dataloader-simplified", "kernel_id": "7620029"}, {"ref": "kentaronakanishi/tf2-0-way-to-accumulate-gradients-in-custom-loop", "kernel_id": "7581286"}, {"ref": "sachinprabhu/tf2-0-baseline-w-bert", "kernel_id": "7541444"}, {"ref": "skylord/on-the-professor-and-the-madman", "kernel_id": "7076406"}, {"ref": "amrabed/bert-baseline", "kernel_id": "7050651"}, {"ref": "hakeem/nain-submission", "kernel_id": "7609979"}, {"ref": "hisudha/tf-qa-v0", "kernel_id": "7865209"}, {"ref": "prokaj/fork-of-baseline-html-tokens-v5", "kernel_id": "7662632"}, {"ref": "manang/eda-v2", "kernel_id": "7224237"}, {"ref": "manang/eda-v1", "kernel_id": "7200741"}, {"ref": "seesee/submit-full", "kernel_id": "7237337"}, {"ref": "rohitagarwal/eda-of-target-variable", "kernel_id": "7063576"}, {"ref": "rohitagarwal/rank-93-solution-fork-of-bert-joint-14-changes-37", "kernel_id": "7631951"}, {"ref": "ejmejm/q-a-eda", "kernel_id": "7167437"}, {"ref": "kuldeep7688/bilstm-question-encoder-deepmoji-based-text-enc", "kernel_id": "7406080"}, {"ref": "kuldeep7688/attentive-bilstm-stanford-attentive-reader", "kernel_id": "7447955"}, {"ref": "axel81/inference-use-hugging-face-postprocess", "kernel_id": "7369300"}, {"ref": "alex0404/bert-for-humans-cosine-distance", "kernel_id": "7418374"}, {"ref": "boliu0/7th-place-submission", "kernel_id": "7689235"}, {"ref": "ankurgupta1985/randomly-selected", "kernel_id": "7244544"}, {"ref": "ankurgupta1985/alternative-io-read", "kernel_id": "7246965"}, {"ref": "yihdarshieh/tf2-training-on-gcp-tpu", "kernel_id": "7425269"}, {"ref": "yihdarshieh/inference-use-hugging-face-models", "kernel_id": "7068539"}, {"ref": "walterfly/use-hugging-face-s-tensorflow-2-transformer-models", "kernel_id": "7461221"}, {"ref": "vanle73/tensorflow-2-0-submodule", "kernel_id": "7324883"}, {"ref": "vanle73/rank68-the-simplest-idea-to-get-medal", "kernel_id": "7168301"}, {"ref": "isikkuntay/bert-fine-tuning-model", "kernel_id": "7393209"}, {"ref": "chihyuyeh/eda-for-google-qa", "kernel_id": "7349829"}, {"ref": "kenkrige/possible-evaluation-metric", "kernel_id": "7506614"}, {"ref": "kenkrige/dataset-conflict", "kernel_id": "7288028"}, {"ref": "kenkrige/nq-direct-submit", "kernel_id": "7271566"}, {"ref": "msheriey/empty-submission", "kernel_id": "7416975"}, {"ref": "wenbbing/tensorflow-2-0-bert-yes-no-answers", "kernel_id": "7504547"}, {"ref": "vaibhavsxn/tf2-0", "kernel_id": "7571842"}, {"ref": "vaibhavsxn/bert-baseline", "kernel_id": "7109231"}, {"ref": "shangeetha/tensorflow-question-answering", "kernel_id": "7532608"}, {"ref": "aaroha33/tensorflow-question-answering", "kernel_id": "7200602"}, {"ref": "shupletsovm/bert-for-humans-tutorial-baseline", "kernel_id": "7404476"}, {"ref": "khushmanvar/deep-learning-with-bert-tensorflow-2-0", "kernel_id": "7589667"}, {"ref": "kumakura/tensorflow-2-0-bert-yes-no-answers-18fdfa", "kernel_id": "7017213"}, {"ref": "mmmarchetti/bert-joint", "kernel_id": "7360641"}, {"ref": "takbull/bert-joint", "kernel_id": "7377439"}, {"ref": "ajaykrishnanselucca/tf-2-0-eda-and-basics", "kernel_id": "7360769"}, {"ref": "jonathandickson/submission2", "kernel_id": "7045715"}, {"ref": "baswitters/wip-albert-for-humans-tutorial-baseline", "kernel_id": "7549108"}, {"ref": "dinhnguyn/dinh-full", "kernel_id": "7683642"}, {"ref": "andrewgao/tensorflow-2-0-bert-yes-no-answers", "kernel_id": "7013270"}, {"ref": "xiaosilasliu/knn-algorithm-in-tensorflow", "kernel_id": "7597700"}, {"ref": "oleggribanov/kernel23ced05528", "kernel_id": "7508073"}, {"ref": "mukeshmithrakumar/bert-inference", "kernel_id": "8640140"}, {"ref": "mahmudds/best-model-accoracy-tensorflow-question-answering", "kernel_id": "8727485"}, {"ref": "kaicss/tfqa-bert-train", "kernel_id": "8989271"}, {"ref": "sameerpixelbot/bert-embeddings-with-tensorflow-2-0-example", "kernel_id": "9257947"}, {"ref": "dormann/data-analysis-for-tf-questions-answers-data-set-x2", "kernel_id": "10761158"}, {"ref": "mattbast/question-answering-starter-code", "kernel_id": "10311735"}, {"ref": "peterzhoubot/final-ensemble-e7ea95", "kernel_id": "10121754"}, {"ref": "sssssskkkkkkkk/ensemble-bert-albert-0-1-0-75w-a239f5", "kernel_id": "10114235"}, {"ref": "yerbatry/final-ensemble-clean-0-7", "kernel_id": "10122763"}, {"ref": "yerbatry/fork-of-final-ensemble-clean-0-65", "kernel_id": "10136118"}, {"ref": "arhouati/bert-predict-answers-from-article-and-question", "kernel_id": "11166930"}, {"ref": "kaicss/fork-of-tfqa-bert-train-363217", "kernel_id": "11371223"}, {"ref": "ahmadikia/anastasia-karpovich-notebook", "kernel_id": "17858211"}, {"ref": "ahmadikia/prvi-notebook", "kernel_id": "17858075"}, {"ref": "mohammedaiman/osama-mo-model", "kernel_id": "19992197"}, {"ref": "giangpham/tensorflownaturalquestionanswering", "kernel_id": "20346853"}, {"ref": "cuenta4384/tf-qa-flash", "kernel_id": "22772622"}, {"ref": "seannarenthiran2/td-qa-flash", "kernel_id": "22839463"}, {"ref": "chathurangi/question-answering", "kernel_id": "23696197"}, {"ref": "michaelyashchenko/question-answering-note", "kernel_id": "33524592"}, {"ref": "liucong12601/mlchapter6-explore-data", "kernel_id": "33018549"}, {"ref": "liucong12601/mlchapter6-chatbot", "kernel_id": "33018794"}, {"ref": "pxtri2156/bert-joint-baseline-notebook-tripx", "kernel_id": "41223332"}, {"ref": "shido49221/csc494-49-using-tensorflow-2-0-w-bert-on-nq", "kernel_id": "44798401"}, {"ref": "smocgeorge/trainnotebook", "kernel_id": "49520654"}, {"ref": "radustefanmihalache/evalnotebook", "kernel_id": "49151687"}, {"ref": "irinarebegea/atnn-question-answering", "kernel_id": "49201772"}, {"ref": "irinarebegea/atnn-qa-pretrained-glove", "kernel_id": "49453378"}, {"ref": "irinarebegea/atnn-question-answering-bert", "kernel_id": "49460817"}, {"ref": "sarahfikry/question-answering", "kernel_id": "55508311"}, {"ref": "eunjungham/tfqa-pytorch-baseline", "kernel_id": "61783512"}, {"ref": "eunjungham/bert-joint-baseline-notebook", "kernel_id": "61793292"}, {"ref": "martinocharo/bert-joint-baseline-notebook", "kernel_id": "65547739"}, {"ref": "justbeginning/tf-question-answering-2-0", "kernel_id": "102828494"}, {"ref": "nh0123/s6-notebook4697ccac48-999", "kernel_id": "103855639"}, {"ref": "justbeginning/tf-2-0-question-answering", "kernel_id": "105501965"}]}
{"competition_id": "12871", "kernels": []}
{"competition_id": "12872", "kernels": [{"ref": "ananaymital/2015b4a80598g", "kernel_id": "2861581"}, {"ref": "arkil1998/2016a7ps0665g-primary", "kernel_id": "2881959"}, {"ref": "f20160115/2016a3ps0115g-1", "kernel_id": "2875234"}, {"ref": "f20160115/2016a3ps0115g", "kernel_id": "2875261"}, {"ref": "f20160081/2016a7ps0081g", "kernel_id": "2912677"}, {"ref": "f20160181/2016a3ps0181g", "kernel_id": "2934879"}, {"ref": "f2016a7ps0027g/2016a7ps0027g-1", "kernel_id": "2893663"}, {"ref": "deepcyan/kernel-2", "kernel_id": "2879070"}, {"ref": "deepcyan/kernel-1", "kernel_id": "2878787"}, {"ref": "f20150749/2015b3a70749g", "kernel_id": "2898346"}, {"ref": "f20160059/2016a7ps0059g", "kernel_id": "2896804"}, {"ref": "r2016a7ps0015g/2016a7ps0015g", "kernel_id": "2937507"}, {"ref": "f20160154/2016a3ps0154g-1", "kernel_id": "2894017"}, {"ref": "f20160154/2016a3ps0154g-2", "kernel_id": "2894249"}, {"ref": "samarthrajeshgupta/f20150831", "kernel_id": "2888416"}, {"ref": "f20160488/2016a1ps0488g", "kernel_id": "2876650"}, {"ref": "f20160488/2016a1ps0488g-1", "kernel_id": "2876727"}, {"ref": "f2015b3a70405g/kernel-v2", "kernel_id": "2897381"}, {"ref": "f2015b3a70405g/kernel-v1", "kernel_id": "2897393"}, {"ref": "f2015b1a70742/2015b1a70742g-1", "kernel_id": "2908573"}, {"ref": "prajaktasd/2016a8ps0733g-2", "kernel_id": "2891410"}, {"ref": "prajaktasd/2016a8ps0733g", "kernel_id": "2890229"}, {"ref": "f20160497/shashank-mishra-2016a1ps0497g", "kernel_id": "2878521"}, {"ref": "vmdiwanji/2015a7ps0107g-kernel-1", "kernel_id": "2890079"}, {"ref": "vmdiwanji/2015a7ps0107g-kernel-2", "kernel_id": "2890193"}, {"ref": "f20160069/2016a7ps0069g-2", "kernel_id": "2924007"}, {"ref": "f20160069/2016a7ps0069g-1", "kernel_id": "2910271"}, {"ref": "deepanshukaushik/2015a3ps0193g-2", "kernel_id": "2893449"}, {"ref": "deepanshukaushik/2015a3ps0193g-1", "kernel_id": "2893369"}, {"ref": "jfd348/sub11-2016a7ps0282g", "kernel_id": "2875476"}, {"ref": "jfd348/sub12-2016a7ps0282g", "kernel_id": "2875388"}, {"ref": "f20160091/2016a7ps0091g", "kernel_id": "2936740"}, {"ref": "sinhasanyukta/2015b4a70556g", "kernel_id": "3037307"}]}
{"competition_id": "12874", "kernels": []}
{"competition_id": "12885", "kernels": []}
{"competition_id": "12895", "kernels": []}
{"competition_id": "12896", "kernels": [{"ref": "ashishpatel26/model-interpretation-with-voting-classifier-hard", "kernel_id": "1799835"}, {"ref": "huhulimaguli/exploring-covariance-shift", "kernel_id": "2904451"}, {"ref": "miroslavsabo/auc-0-844-in-11-loc", "kernel_id": "2883052"}, {"ref": "tomehta/underfitting-with-svc", "kernel_id": "2931637"}, {"ref": "tomehta/underfitting-with-rf-and-lgbm", "kernel_id": "2931783"}, {"ref": "tomehta/logistic-with-grid-search", "kernel_id": "2975424"}, {"ref": "tomehta/elastic-net-with-hyper-param-tuning-using-grid", "kernel_id": "2999593"}, {"ref": "tomehta/lasso-for-feature-selection-and-logreg", "kernel_id": "2986258"}, {"ref": "jahaziel/simple-model-glmnet", "kernel_id": "2878049"}, {"ref": "cyones77/glmnet-with-alpha-optimized", "kernel_id": "2893774"}, {"ref": "cyones77/t-sne-projection", "kernel_id": "2953952"}, {"ref": "tunguz/just-some-overfitting-eda", "kernel_id": "2938759"}, {"ref": "julio1397/don-t-overfit", "kernel_id": "2945862"}, {"ref": "toshinoue/feature-selection-by-aicc", "kernel_id": "2944728"}, {"ref": "anand0427/overfit-submission", "kernel_id": "2891033"}, {"ref": "lukebassett/do-2-corr-logistic-regression-experimentation", "kernel_id": "2875164"}, {"ref": "robikscube/don-t-overfit-ii-first-look-and-eda", "kernel_id": "2882788"}, {"ref": "shadabhussain/avoid-overfitting", "kernel_id": "2909654"}, {"ref": "artgor/how-to-not-overfit", "kernel_id": "2896952"}, {"ref": "ashishpatel26/dask-why-every-data-scientist-should-use-dask", "kernel_id": "2400412"}, {"ref": "ashishpatel26/genetic-algorithm-for-beginner-to-advance", "kernel_id": "2159938"}, {"ref": "ashishpatel26/which-model-is-best-check-out", "kernel_id": "2920686"}, {"ref": "ashishpatel26/starter-automl-don-t-overfit", "kernel_id": "2909058"}, {"ref": "ashishpatel26/interpretability-of-ml-black-box-model-iml", "kernel_id": "2993104"}, {"ref": "gravix/elastic-fit", "kernel_id": "2922286"}, {"ref": "zahaviguy/simple-feature-selection-with-r-auc-0-830", "kernel_id": "2914777"}, {"ref": "vincentlugat/logistic-regression-rfe", "kernel_id": "2910988"}, {"ref": "takaishikawa/experiment02-corr-select-logistic-reg", "kernel_id": "2880014"}, {"ref": "magf46/can-we-predict-if-the-data-is-from-train-or-test", "kernel_id": "2890550"}, {"ref": "wakamezake/my-first-submit", "kernel_id": "2872950"}, {"ref": "ahhjones/never-knowingly-overfitted", "kernel_id": "2972495"}, {"ref": "aatria/alemodel", "kernel_id": "2891792"}, {"ref": "rodasoares/correlation-matrix-randomforestregressor", "kernel_id": "2878391"}, {"ref": "xsakix/first-overfit", "kernel_id": "2909920"}, {"ref": "sjeetm/dont-overfit", "kernel_id": "2997252"}, {"ref": "suhail511/don-t-overfit", "kernel_id": "2887929"}, {"ref": "enricospada/plotly-is-good", "kernel_id": "2898516"}, {"ref": "ukkoa1/xgbdart-bayesian-optimization", "kernel_id": "2955327"}, {"ref": "ukkoa1/first-kernel-rf-w-boruta-selection-and-caret", "kernel_id": "2887200"}, {"ref": "jasperkoops/logistic-model-with-pipeline", "kernel_id": "2884521"}, {"ref": "gyodukoo/random-test", "kernel_id": "2991739"}, {"ref": "woshichendu/don-t-overfit-baseline", "kernel_id": "2897984"}, {"ref": "tboyle10/feature-selection", "kernel_id": "2913373"}, {"ref": "tboyle10/hyperparameter-tuning", "kernel_id": "2950601"}, {"ref": "bigkizd/lightgbm-with-cross-validation", "kernel_id": "2879973"}, {"ref": "nadare/simple-logistic-regression-with-l1-penalty", "kernel_id": "2878614"}, {"ref": "braquino/neural-net-experimentation", "kernel_id": "2924836"}, {"ref": "weiztoh/prelim", "kernel_id": "2886997"}, {"ref": "rishrk007/don-t-overfit-contest", "kernel_id": "2913595"}, {"ref": "pk5097/don-t-overfit", "kernel_id": "2937487"}, {"ref": "gaurav146/don-t-overfit", "kernel_id": "2878151"}, {"ref": "shashanksagarjha/feature-scaling-modelling-and-hyperparameter", "kernel_id": "2978692"}, {"ref": "somaktukai/72-roc-how-not-to-overfit", "kernel_id": "2971179"}, {"ref": "jazivxt/over-the-top-hawk-s-journey", "kernel_id": "2873278"}, {"ref": "karthikkannan/baseline", "kernel_id": "2903308"}, {"ref": "shahaffind/over-generalizing", "kernel_id": "2941405"}, {"ref": "alexandregeorges/glmnet-train-rfe-boruta-cv", "kernel_id": "2904475"}, {"ref": "pwyatt521/wyatthw3", "kernel_id": "2980335"}, {"ref": "sovchinnikov/logistic-regression", "kernel_id": "2891104"}, {"ref": "leopoldosprandel/don-t-overfit-ii-choosing-a-model", "kernel_id": "2997684"}, {"ref": "nategg/don-t-overfit", "kernel_id": "2980613"}, {"ref": "zachmayer/300-probed-aucs", "kernel_id": "3836384"}, {"ref": "zachmayer/first-place-solution", "kernel_id": "3836651"}, {"ref": "gkoundry/bayesian-logistic-regression-with-pystan", "kernel_id": "3126395"}, {"ref": "melondonkey/bayesian-spike-and-slab-in-pymc3", "kernel_id": "3246873"}, {"ref": "melondonkey/bayesian-workflow-with-leave-one-out-cv-in-r", "kernel_id": "3411987"}, {"ref": "zscansorted/baseline-model-logistic-regression", "kernel_id": "3745407"}, {"ref": "cyones77/are-variables-independent-trying-an-autoencoder", "kernel_id": "3023229"}, {"ref": "julianfrank1/don-t-overfit-i-try", "kernel_id": "3472861"}, {"ref": "kshitijs2014/main-model", "kernel_id": "3934545"}, {"ref": "ricardorios/logistic-regression-with-lasso-don-t-overfit", "kernel_id": "3536510"}, {"ref": "ricardorios/lasso-polynomial-features-don-t-overfit", "kernel_id": "3537478"}, {"ref": "ricardorios/lasso-don-t-overfit", "kernel_id": "3770576"}, {"ref": "ricardorios/univariate-exploratory-analysis", "kernel_id": "3116662"}, {"ref": "ricardorios/bivariate-exploratory-analysis", "kernel_id": "3158388"}, {"ref": "ricardorios/base-line-model-don-t-overfit", "kernel_id": "3259772"}, {"ref": "ricardorios/decision-trees-don-t-overfit", "kernel_id": "3279201"}, {"ref": "ricardorios/decision-trees-improved-don-t-overfit", "kernel_id": "3337184"}, {"ref": "ricardorios/linear-discriminant-analysis-i", "kernel_id": "3391028"}, {"ref": "ricardorios/random-forests-don-t-overfit", "kernel_id": "3367189"}, {"ref": "ricardorios/linear-discriminant-analysis-ii", "kernel_id": "3433559"}, {"ref": "ricardorios/quadratic-discriminant-analysis", "kernel_id": "3434778"}, {"ref": "ricardorios/logistic-regression-model-don-t-overfit", "kernel_id": "3441935"}, {"ref": "gauravkjain/logistic-regression-with-winsorization", "kernel_id": "3250379"}, {"ref": "muxinghan/first-try-deepnet-but-failed", "kernel_id": "3319558"}, {"ref": "praxitelisk/don-t-overfit-ii-eda-ml", "kernel_id": "3539554"}, {"ref": "allunia/don-t-overfit-searching-true-distributions", "kernel_id": "3819440"}, {"ref": "sphaso/don-t-overfit-ii", "kernel_id": "3549692"}, {"ref": "tilii7/forward-feature-selection-with-linearsvc", "kernel_id": "3776972"}, {"ref": "tilii7/create-synthetic-data-with-similar-properties", "kernel_id": "3731630"}, {"ref": "springmanndaniel/no-probing-autoenc-mlp-ensembled", "kernel_id": "3884094"}, {"ref": "springmanndaniel/shadow-null-importance-feature-selection", "kernel_id": "3892732"}, {"ref": "psystat/don-t-overfit-elastic-net-with-caret", "kernel_id": "3492262"}, {"ref": "rafjaa/dealing-with-very-small-datasets", "kernel_id": "3124977"}, {"ref": "skotty971/kernel9ec4176339", "kernel_id": "3694103"}, {"ref": "hermesdt/synthetic-data", "kernel_id": "3136006"}, {"ref": "raimohaikari/penalizedlda", "kernel_id": "3721171"}, {"ref": "gpreda/overfitting-the-private-leaderboard", "kernel_id": "3009572"}, {"ref": "leesungreong/i-used-nn-and-bayesian-optimization", "kernel_id": "3274614"}, {"ref": "vovo4ka/example-of-using-rstan-for-posteriori-distribution", "kernel_id": "3596585"}, {"ref": "vovo4ka/example-of-different-regularizations", "kernel_id": "3473873"}, {"ref": "kishor1210/withoutoverfit", "kernel_id": "3607809"}, {"ref": "ishivinal/feature-importance-techniques", "kernel_id": "3056761"}, {"ref": "anermakov/fe-stability-selection-attempt", "kernel_id": "3175927"}, {"ref": "benjibb/automated-60-models-ensemble-h2o", "kernel_id": "3422089"}, {"ref": "benjibb/automated-gridsearch-ensemble-for-lazy-people", "kernel_id": "3407568"}, {"ref": "benjibb/genetic-algorithm-model-selection", "kernel_id": "3407193"}, {"ref": "wajihullahbaig/stacked-classifiers-cv0-889-pu0-865-pr0-881", "kernel_id": "3841318"}, {"ref": "nightwolfbrooks/hyper-parameter-tuned-svm-model", "kernel_id": "3693312"}, {"ref": "nightwolfbrooks/3-var-selection-methods-and-h2o-model", "kernel_id": "3385239"}, {"ref": "inmanenz/caret-not-overfitting", "kernel_id": "3579209"}, {"ref": "rogerthatroach/dont-overfit", "kernel_id": "3164217"}, {"ref": "ekholme/chord-diagram-don-t-overfit-glmnet-coefficients", "kernel_id": "3170397"}, {"ref": "vukglisovic/iterative-modelling", "kernel_id": "3055888"}, {"ref": "bharatsingh213/donotrepeat", "kernel_id": "3337470"}, {"ref": "wordroid/get-best-features-and-paramaters-at-the-same-time", "kernel_id": "3567316"}, {"ref": "wordroid/som-self-organizing-maps", "kernel_id": "3385545"}, {"ref": "srishilesh/don-t-overfit-solution", "kernel_id": "3760007"}, {"ref": "fehann/don-t-overfit-when-less-is-more-but-not-over", "kernel_id": "3274269"}, {"ref": "ateplyuk/dntoverfit-starter", "kernel_id": "3622796"}, {"ref": "levant/a-step-by-step-quest-to-solution", "kernel_id": "3028338"}, {"ref": "ichabuddaeta/i-tried-again", "kernel_id": "3796216"}, {"ref": "gdmacmillan/gp-logistic-regression", "kernel_id": "3815096"}, {"ref": "gdmacmillan/ensemble-lasso-cv", "kernel_id": "3403340"}, {"ref": "gdmacmillan/data-expo", "kernel_id": "3233326"}, {"ref": "demonplus/blending-of-the-best-solutions", "kernel_id": "3627722"}, {"ref": "plasticgrammer/don-t-overfit-i-try", "kernel_id": "3284587"}, {"ref": "pavelvpster/don-t-overfit-solution-2", "kernel_id": "3746870"}, {"ref": "pavelvpster/don-t-overfit-solution-3", "kernel_id": "3786483"}, {"ref": "iavinas/simple-short-solution-don-t-overfit-0-848", "kernel_id": "3363129"}, {"ref": "abhigupta4981/dont-overfit-test-with-someone-s-elasticnet", "kernel_id": "3235248"}, {"ref": "xsakix/third-overfit", "kernel_id": "3002671"}, {"ref": "alejandrocano/don-t-overfit-tpot", "kernel_id": "3782461"}, {"ref": "siddhesh25/classification-using-xgbclassifier", "kernel_id": "3058299"}, {"ref": "esjyemkg/how-over-do-you-fit", "kernel_id": "3353671"}, {"ref": "kumarvivek9097/simple-solution-for-beginner", "kernel_id": "3659239"}, {"ref": "shineloveyc/how-to-not-overfit", "kernel_id": "3211499"}, {"ref": "pidem2501/bayesian-approach-with-pymc3", "kernel_id": "3145579"}, {"ref": "cdeotte/fun-data-animation", "kernel_id": "3647129"}, {"ref": "cdeotte/can-we-trust-cv-and-lb", "kernel_id": "3791474"}, {"ref": "cdeotte/lb-probing-strategies-0-890-2nd-place", "kernel_id": "3826964"}, {"ref": "rishikoush/simple-eda-and-model", "kernel_id": "3621169"}, {"ref": "tattaka/don-t-over-fit-by-nn", "kernel_id": "3808231"}, {"ref": "mahmoud86/logistic-reg-vs-bagin-vs-rf-vs-boosting", "kernel_id": "3977423"}, {"ref": "shwetagoyal4/don-t-overfit-ii", "kernel_id": "3669690"}, {"ref": "aantonova/distribution-of-points-in-300d-space", "kernel_id": "3680816"}, {"ref": "aantonova/851-logistic-regression", "kernel_id": "3354252"}, {"ref": "samshipengs/why-it-s-overfitting", "kernel_id": "3092129"}, {"ref": "hirotaka0122/don-t-over-fit", "kernel_id": "3515290"}, {"ref": "plumeria/dont-overfit", "kernel_id": "3752780"}, {"ref": "kei96kag/randomrorest-and-lasso-regression-0-847", "kernel_id": "3056086"}, {"ref": "claymoreriful/claymoreriful-don-t-overfit-ii", "kernel_id": "3485552"}, {"ref": "himadri1998/don-t-overfit-tryout", "kernel_id": "3577404"}, {"ref": "titan23/logistic-regression", "kernel_id": "3485319"}, {"ref": "youngzn/a-easy-way-to-0-846-dont-overfit-ii", "kernel_id": "3209865"}, {"ref": "swarnim97/logistic-regression-with-grid-searchcv", "kernel_id": "3139721"}, {"ref": "shashanksai/dont-overfit", "kernel_id": "3296883"}, {"ref": "savannahar/feature-importance-reducing-overfitting", "kernel_id": "3118557"}, {"ref": "monthepp/don-t-overfit-ii", "kernel_id": "3959954"}, {"ref": "vkt706/don-t-over-fit", "kernel_id": "3823514"}, {"ref": "niteshx2/kernel41b644f80d", "kernel_id": "3188389"}, {"ref": "anejad/how-not-to-over-fit-v1", "kernel_id": "3737176"}, {"ref": "pierresylvain/xgboost-lr-rfe", "kernel_id": "3808285"}, {"ref": "dasilvacn/openkernel", "kernel_id": "3243273"}, {"ref": "derekpowll/bayesian-lr-w-cauchy-prior-in-pymc3", "kernel_id": "3693408"}, {"ref": "feichin/svm-vs-logisticregression-feedback-welcome", "kernel_id": "3207733"}, {"ref": "amundov/don-t-overfit-lgbm-xgboost", "kernel_id": "3730551"}, {"ref": "mriganksingh/dont-overfit-try", "kernel_id": "3584108"}, {"ref": "shivamsarawagi/overfit", "kernel_id": "3353187"}, {"ref": "shivamsarawagi/overfitwithrandomforrest", "kernel_id": "3353238"}, {"ref": "dawood619/logisticregression-with-lasso-rfe", "kernel_id": "3574846"}, {"ref": "vimlord/pca-w-logistic-regression", "kernel_id": "3160040"}, {"ref": "mitjasha/pca-tsne-and-other-things", "kernel_id": "3356755"}, {"ref": "mitjasha/don-t-overfit-2-linear-models-with-hyperopt", "kernel_id": "3273431"}, {"ref": "aakankshaws/kernelee3337c0c7", "kernel_id": "3852766"}, {"ref": "karthickkrishna/don-t-overfit", "kernel_id": "3296861"}, {"ref": "desareca/transformation-of-variables-glm-search", "kernel_id": "3667232"}, {"ref": "ayang98/tutorial-on-ensemble-learning-don-t-overfit", "kernel_id": "3806565"}, {"ref": "octour/search-for-the-correlation-between-lb-and-cv", "kernel_id": "3874766"}, {"ref": "jamesdonconley/clustering-improves-logistic-regression", "kernel_id": "3752619"}, {"ref": "jamesdonconley/logistic-regression-and-rfe-pca", "kernel_id": "3723499"}, {"ref": "jamesdonconley/pca-and-random-forests", "kernel_id": "3723039"}, {"ref": "sameerdev7/84-9-simplest-solution-to-not-overfit", "kernel_id": "3996079"}, {"ref": "trolukovich/keep-calm-and-make-it-simple-easy-0-847", "kernel_id": "3668243"}, {"ref": "athinkingneal/please-don-t-overfit", "kernel_id": "3363829"}, {"ref": "pradyumnakr/don-t-overfit", "kernel_id": "3756772"}, {"ref": "oluwaody/the-parameter-measurement", "kernel_id": "3342580"}, {"ref": "plehmann999/lightgbm-with-regularization", "kernel_id": "3780539"}, {"ref": "longang/no-overfitting-elasticnet-auc-0-831", "kernel_id": "3232524"}, {"ref": "featureblind/robust-patches-with-rfe-gs-and-logreg", "kernel_id": "3833390"}, {"ref": "featureblind/robust-lasso-patches-with-rfe-gs", "kernel_id": "3263646"}, {"ref": "adikeshri/logisticregression-dont-overfit-0-849", "kernel_id": "3767532"}, {"ref": "vivaroma/overfit-with-deep-learning-cv-vs-lb", "kernel_id": "3725378"}, {"ref": "vivaroma/simple-logistic-regression-0-862-122nd-place", "kernel_id": "3837637"}, {"ref": "qy2205/baseline-logistic-binning-feature-selection", "kernel_id": "3673965"}, {"ref": "gangotrinvents/kernel7a64ec6b6e", "kernel_id": "3440117"}, {"ref": "tmkggl/don-t-overfit-ii", "kernel_id": "3691739"}, {"ref": "asura93/how-to-not-overfit", "kernel_id": "3626046"}, {"ref": "andyjza/kerneld4839ff1e1", "kernel_id": "3552966"}, {"ref": "ramiiii/svm-logistic-regression", "kernel_id": "3694688"}, {"ref": "satyamsanu/don-t-overfit", "kernel_id": "3544988"}, {"ref": "gabrielmv/dont-overfit-ii-neural-network", "kernel_id": "3571169"}, {"ref": "ashish11701521/don-t-overfit2", "kernel_id": "3742658"}, {"ref": "masayakondo/trying-don-t-overfit-ii", "kernel_id": "3483439"}, {"ref": "biswajitbanerjee/trying-to-overfit", "kernel_id": "4739694"}, {"ref": "maukag/don-t-overfit-script", "kernel_id": "4056132"}, {"ref": "ashishchauhan009/kernel9352a3085e", "kernel_id": "4760160"}, {"ref": "agrover112/i-overfitted", "kernel_id": "4690297"}, {"ref": "dalip98/dont-overfit", "kernel_id": "4561415"}, {"ref": "lifehacker2601/data-ml", "kernel_id": "4526965"}, {"ref": "sheik0/logistic-regression", "kernel_id": "4252273"}, {"ref": "zhangwx95/add-noise-and-use-rfe", "kernel_id": "4840440"}, {"ref": "sakaguti1211/lastone", "kernel_id": "4623457"}, {"ref": "sakaguti1211/kernel3956095972", "kernel_id": "4656469"}, {"ref": "ssomers/maybe-overfit-ii", "kernel_id": "4885843"}, {"ref": "saoodmohd/don-t-over-fit-starter", "kernel_id": "5097319"}, {"ref": "siddhi17/kernel2850d82806", "kernel_id": "5125533"}, {"ref": "raghuvaranm/kernel22aa9f1cae", "kernel_id": "5238493"}, {"ref": "coffeeman123/overfittus-maximus", "kernel_id": "5390785"}, {"ref": "tamyiuchau/dntoverfit-starter", "kernel_id": "5688115"}, {"ref": "gokhangerdan/how-to-avoid-overfitting-for-beginners-keras", "kernel_id": "6958191"}, {"ref": "ujjwalxgarg/dont-overfit", "kernel_id": "6322729"}, {"ref": "lukemonington/don-t-overfit-ii-gridsearch", "kernel_id": "6380676"}, {"ref": "lukemonington/don-t-overfit-ii-my-attempt", "kernel_id": "6218766"}, {"ref": "yahengwu/don-t-overfit", "kernel_id": "6579089"}, {"ref": "shubhamgupta2/don-t-overfit-2-eda", "kernel_id": "7909779"}, {"ref": "rajibstats/don-t-overfit-rajibstats", "kernel_id": "7538584"}, {"ref": "karnakarthoorpu/robust-to-overfit-using-dnn", "kernel_id": "7248164"}, {"ref": "arifali77/tutorial-on-ensemble-learning-don-t-overfit", "kernel_id": "7445269"}, {"ref": "danielalexander17/don-t-overfit-2", "kernel_id": "8643822"}, {"ref": "sidagar/don-t-overfit-using-xgboost", "kernel_id": "8880739"}, {"ref": "darwinwin/starter-automl-don-t-overfit", "kernel_id": "8131016"}, {"ref": "gustavorauscher/simple-logistic", "kernel_id": "8655418"}, {"ref": "rahuldevyadav/kernel56834b154a", "kernel_id": "9474764"}, {"ref": "rahuldevyadav/kernel6ca06dee12", "kernel_id": "9550356"}, {"ref": "ashishnnnnn/knnn-2", "kernel_id": "9141481"}, {"ref": "joshuajhchoi/don-t-overfit-ii-2020", "kernel_id": "9984229"}, {"ref": "tappeikawasaki/kernel4646a17f6b", "kernel_id": "10530554"}, {"ref": "snehashis1997/don-t-over-fit-part-2", "kernel_id": "10347520"}, {"ref": "darisdzakwanhoesien2/don-t-overfit-ii", "kernel_id": "10944700"}, {"ref": "mrinath/pytorch-cnn", "kernel_id": "11892461"}, {"ref": "shreyatiwari/mse-rmse", "kernel_id": "11360886"}, {"ref": "danielpearson7/basic-attempt-at-don-t-overfit-2", "kernel_id": "11844825"}, {"ref": "abdullahzaid/kernelca36454739", "kernel_id": "11028769"}, {"ref": "abdullahzaid/kernele2507ae491", "kernel_id": "11107032"}, {"ref": "rishabh279/don-t-overfit", "kernel_id": "12874393"}, {"ref": "jonpeters3/overfitting", "kernel_id": "12384106"}, {"ref": "hiro1005/don-t-overfit-ii", "kernel_id": "12052354"}, {"ref": "kholoudsayed/don-t-overfit", "kernel_id": "13755675"}, {"ref": "adamabidi/eda-not-overfit", "kernel_id": "13777069"}, {"ref": "ljcjcjc/ljcljc-don-t-overfit", "kernel_id": "13730918"}, {"ref": "deepakdodi/dont-overfit-dodi-research", "kernel_id": "15043872"}, {"ref": "yjunwoo14/don-t-overfit-assessment-pvt-0-834-pub-0-844", "kernel_id": "15586763"}, {"ref": "gregzi/notebookf51a0eea37", "kernel_id": "15888103"}, {"ref": "victorduch/don-t-overfit-ii-vicduch", "kernel_id": "15745490"}, {"ref": "yasserhessein/don-t-overfit-eda-svm-knn-xgb", "kernel_id": "16817203"}, {"ref": "thebes/notebook0b9035c542", "kernel_id": "16841405"}, {"ref": "mbmlearner/bayesian-lr-w-cauchy-prior-in-pymc3", "kernel_id": "17757043"}, {"ref": "mohamedsalah5369/dnofkc", "kernel_id": "18979592"}, {"ref": "danilopaula/logistic-regression-for-dont-overfit-ii", "kernel_id": "18513791"}, {"ref": "danilopaula/lightgbm-w-regularization-for-dont-overfit-ii", "kernel_id": "18492150"}, {"ref": "ahmedmagdy96/handle-overfitting", "kernel_id": "18944880"}, {"ref": "tokaghaly/donot-overfit", "kernel_id": "18970213"}, {"ref": "tasneemmohamedsaad/don-t-overfit", "kernel_id": "18942905"}, {"ref": "sarahesham/don-t-overfit", "kernel_id": "19701880"}, {"ref": "pro1amr/don-t-overfit", "kernel_id": "19738755"}, {"ref": "omarwael/don-toverfitwithsmoteoversampling", "kernel_id": "19805414"}, {"ref": "amalabdallah/don-toverfit", "kernel_id": "19871570"}, {"ref": "mohamedmostafa335/don-t-overfit", "kernel_id": "19667492"}, {"ref": "rehameltagoury/don-toverfit", "kernel_id": "19037759"}, {"ref": "azizmousa/donot-overfit", "kernel_id": "19527066"}, {"ref": "hazemhosny/don-t-overfit-ii", "kernel_id": "19802479"}, {"ref": "ahmedhagras/don-t-over-fit", "kernel_id": "19745241"}, {"ref": "habibahafez/don-t-overfit", "kernel_id": "19731002"}, {"ref": "mahmoudtaha3/notebooka67327f8c0", "kernel_id": "19692743"}, {"ref": "ahmedabuaba/don-t-overfit", "kernel_id": "19128719"}, {"ref": "suhaibalihassan/don-t-overfit", "kernel_id": "19856579"}, {"ref": "wssamhassan/notebook91cb377708", "kernel_id": "19889870"}, {"ref": "mostafaemam0/dun-overfit-ii", "kernel_id": "19853942"}, {"ref": "hebawaelr/don-t-overfit-1", "kernel_id": "19484783"}, {"ref": "mohammedabdulnaser/dof-mo", "kernel_id": "19792728"}, {"ref": "mohamedkamalali/don-t-overfit", "kernel_id": "19886275"}, {"ref": "mohammadjhanafy/don-t-overfit-mh", "kernel_id": "19813451"}, {"ref": "nayrouzhamdy/trial-9", "kernel_id": "19684684"}, {"ref": "nayrouzhamdy/trial-10", "kernel_id": "19688349"}, {"ref": "amiramosa99/don-t-over-fit", "kernel_id": "19745733"}, {"ref": "mohamedalkasaby/don-t-overfit-1", "kernel_id": "19626223"}, {"ref": "ayadayem/dont-overfit", "kernel_id": "19519401"}, {"ref": "smita09/beginner-don-t-overfit", "kernel_id": "20464959"}, {"ref": "meenakshi28/imbalanced-dataset", "kernel_id": "21685181"}, {"ref": "inf1delis/how-to-not-overfit", "kernel_id": "22966767"}, {"ref": "yclaw0/overfit", "kernel_id": "25750091"}, {"ref": "georgyzubkov/dont-overfit-top-10-cor-params-and-pytorch", "kernel_id": "26258116"}, {"ref": "chenxiyintom/notebookf7c99c3082", "kernel_id": "26130467"}, {"ref": "develofun/week8-don-t-overfit-quiz", "kernel_id": "33845359"}, {"ref": "ericcclee/don-t-overfit-chapter-5-7-quiz", "kernel_id": "34042481"}, {"ref": "milanbhadja/overfitting-for-beginer", "kernel_id": "35539678"}, {"ref": "sabahesaraki/don-t-overfit", "kernel_id": "35668813"}, {"ref": "choigawoon/cgw-quiz-don-t-overfit-ii", "kernel_id": "36945250"}, {"ref": "choigawoon/cgw-quiz-don-t-overfit-ii-answer", "kernel_id": "36949626"}, {"ref": "tzekenmatthewfung/20023726d-project", "kernel_id": "36141735"}, {"ref": "albertjacobsz/20074246d-code", "kernel_id": "36451949"}, {"ref": "jerrywzy/20103686d-lasso", "kernel_id": "36447161"}, {"ref": "alexlamyiu/20042573d-don-t-overfit-ii", "kernel_id": "36463650"}, {"ref": "is44c22/ensemble-lr-21019489d", "kernel_id": "36468917"}, {"ref": "ngggggggggggggggg/final-version-svc", "kernel_id": "36444845"}, {"ref": "richardchenyanyu/chen-yanyu-20076721d", "kernel_id": "36465038"}, {"ref": "abbeyleeeeee/final-try-asm", "kernel_id": "36296594"}, {"ref": "kumaxiong/don-t-overfit-ii", "kernel_id": "36275933"}, {"ref": "casparfhm/notebookc94c4d9735", "kernel_id": "36435703"}, {"ref": "mocaaoba/don-t-overfit-ii-summary-ch7-ch9", "kernel_id": "37213298"}, {"ref": "abhinavvvvvvvvvv/don-t-overfit", "kernel_id": "50545079"}, {"ref": "mengguanlin/20099185d", "kernel_id": "53618932"}, {"ref": "taiiqzhou/final-model", "kernel_id": "53661710"}, {"ref": "iok1corn/dun-overfit-w-feature-selection", "kernel_id": "53502173"}, {"ref": "tianjhuang/fork-of-fork-of-don-t-overfit-htj-fde30e", "kernel_id": "53399765"}, {"ref": "zhengpeter/21097982d-don-t-overfit-2", "kernel_id": "53638729"}, {"ref": "chanyatchun/21083659d", "kernel_id": "53607074"}, {"ref": "lamyoyo/22067588d-assignment", "kernel_id": "53490217"}, {"ref": "benhoo/21097701d-assignment", "kernel_id": "53568188"}, {"ref": "jammiechan/21087831d-don-t-overfit-ii", "kernel_id": "53609215"}, {"ref": "pulkittarora/don-t-overfit-logistic-regression-rfe", "kernel_id": "54653929"}, {"ref": "metinhsimimi/do-not-overfit-kneighbors-pca-and-deepl", "kernel_id": "65361245"}, {"ref": "tungkakiu/22109403d", "kernel_id": "68140888"}, {"ref": "p7tat7/21093596d", "kernel_id": "69639427"}, {"ref": "qinyezhang/22098835d-test-v2", "kernel_id": "69725467"}, {"ref": "nataouo/don-t-overfitting-23021285d", "kernel_id": "69725656"}, {"ref": "siyuuzoeyzhou/comp4432-dont-overfit-ii", "kernel_id": "69508676"}, {"ref": "alperugurca/dont-overfit-ii", "kernel_id": "69534643"}, {"ref": "lespan/20039679d-t1", "kernel_id": "69736891"}, {"ref": "carter02ovo/chao-model", "kernel_id": "69205591"}, {"ref": "tommersouir/23026631d", "kernel_id": "69008303"}, {"ref": "nathantsui0410/23029113d", "kernel_id": "69228358"}, {"ref": "tonytsuki/final-version", "kernel_id": "69382284"}, {"ref": "danielyeungpolyu/don-t-overfit-using-random-forest-model", "kernel_id": "69486589"}, {"ref": "caffine/learn-from-comp4432-project", "kernel_id": "69400724"}, {"ref": "kiwich/comp4432-final-notebook", "kernel_id": "70363209"}, {"ref": "qinyezhang/22098835d-rf", "kernel_id": "70452952"}, {"ref": "qinyezhang/22098835d-xgboost", "kernel_id": "70456290"}, {"ref": "qinyezhang/22098835d-lasso", "kernel_id": "70572313"}, {"ref": "qinyezhang/22098835d-lr-v1-0", "kernel_id": "70191869"}, {"ref": "qinyezhang/22098835d-dt-v1-0", "kernel_id": "70376992"}, {"ref": "qinyezhang/22098835d-svm-v1-0", "kernel_id": "70374020"}, {"ref": "hugo2560/don-t-overfit-ii-23020364d", "kernel_id": "70436584"}, {"ref": "lausiuhin/21103296d-real-submission", "kernel_id": "70594629"}, {"ref": "shenziqi21099078d/21099078d", "kernel_id": "70586326"}, {"ref": "autumnwhisper/22104103d", "kernel_id": "70382908"}, {"ref": "dlanorol/22083992d", "kernel_id": "70587097"}, {"ref": "danielwong0612/comp4432-23035686d-ml", "kernel_id": "70419730"}, {"ref": "cheungtszkwan/don-t-overfit-ii", "kernel_id": "70537198"}, {"ref": "huberyl/21102658d", "kernel_id": "70240105"}, {"ref": "bingyuihon/comp4432-individual-project", "kernel_id": "70227571"}, {"ref": "marcoyue/23027011d-don-t-overfit-ii-asm", "kernel_id": "70252261"}, {"ref": "chanyikchun/pla-rfe-21072716d", "kernel_id": "70484732"}, {"ref": "caiuslee1/20069386d", "kernel_id": "70191650"}, {"ref": "lukeliudong/21102497d-comp4432-dontoverfit", "kernel_id": "70588366"}, {"ref": "lukeliudong/21102497d-comp4432-dontoverfit-finalver", "kernel_id": "70595050"}, {"ref": "darrylyunussulistyan/dontoverfit2-anova-mutual-information", "kernel_id": "75347185"}, {"ref": "arunvs/dealing-with-very-small-datasets", "kernel_id": "94511223"}, {"ref": "tszkeichen/22042221d", "kernel_id": "96912388"}, {"ref": "wwwittt/nn-blendmodel", "kernel_id": "96693884"}, {"ref": "timc610610/23097881d-lassomethod-version", "kernel_id": "96876034"}, {"ref": "yiinrx/23100897d", "kernel_id": "97456174"}, {"ref": "timc610610/23097881d-feature-selection-version", "kernel_id": "97034772"}, {"ref": "yangqing0613/ml-individual-project", "kernel_id": "97196311"}, {"ref": "jiavivian/don-t-overfit", "kernel_id": "98297534"}, {"ref": "anphngthnh/fix-overfit", "kernel_id": "128130551"}]}
{"competition_id": "12904", "kernels": []}
{"competition_id": "12906", "kernels": []}
{"competition_id": "12909", "kernels": []}
{"competition_id": "12911", "kernels": [{"ref": "khandalaryan/base-line-code", "kernel_id": "2842103"}]}
{"competition_id": "12915", "kernels": []}
{"competition_id": "12919", "kernels": []}
{"competition_id": "12920", "kernels": []}
{"competition_id": "12927", "kernels": []}
{"competition_id": "12930", "kernels": []}
{"competition_id": "12940", "kernels": [{"ref": "ahmedhamad00/movies-genre-classifier", "kernel_id": "58186023"}]}
{"competition_id": "12941", "kernels": []}
{"competition_id": "12943", "kernels": []}
{"competition_id": "12944", "kernels": []}
{"competition_id": "12952", "kernels": []}
{"competition_id": "12953", "kernels": [{"ref": "korjmorj/beer-and-eda", "kernel_id": "15324554"}]}
{"competition_id": "12954", "kernels": []}
{"competition_id": "12961", "kernels": [{"ref": "sofyafenicheva/kernele92a7946e4", "kernel_id": "3950537"}, {"ref": "tanlikesmath/fastai-starter-iwildcam-2019", "kernel_id": "3471173"}, {"ref": "artgor/iwildcam-basic-eda", "kernel_id": "3381525"}, {"ref": "gpreda/iwildcam-2019-eda-and-prediction", "kernel_id": "3391563"}, {"ref": "a45632/eda-iwildcam-2019-v1-1", "kernel_id": "3388383"}, {"ref": "madisonchung/fri19apr-qrm-imgconversion-tfrecord", "kernel_id": "3632014"}, {"ref": "madisonchung/fri12apr-qrm", "kernel_id": "3565823"}, {"ref": "autuanliuyc/iwildcam-2019-densenet-se-resnet152", "kernel_id": "3810836"}, {"ref": "seriousran/image-pre-processing-for-wild-images", "kernel_id": "3392288"}, {"ref": "joocheol/train-on-pretrained-model", "kernel_id": "3684237"}, {"ref": "joocheol/let-s-make-tfrecord-simple-version", "kernel_id": "3640134"}, {"ref": "joocheol/tfrecord", "kernel_id": "3596124"}, {"ref": "joocheol/tfrecord-from-scratch", "kernel_id": "3565832"}, {"ref": "jy199412/fe-13th-april-yonsei", "kernel_id": "3573969"}, {"ref": "ateplyuk/iwildcam2019-keras-efficientnet", "kernel_id": "3393059"}, {"ref": "ateplyuk/iwildcam2019-pytorch-starter", "kernel_id": "3528612"}, {"ref": "kokecacao/a-brief-data-exploration-for-iwildcam", "kernel_id": "3377977"}, {"ref": "overload10/fastai", "kernel_id": "3854318"}, {"ref": "rbarman/iwildcam-2019-inat-idaho-resized", "kernel_id": "3449518"}, {"ref": "kumar1541/wildcam-classification", "kernel_id": "3504079"}, {"ref": "kumar1541/resnet-in-keras", "kernel_id": "3541415"}, {"ref": "cedriclacrambe/autokeras-iwildcvam", "kernel_id": "3882922"}, {"ref": "twhitehurst3/keras-transfer-learning-iwildcam-2019", "kernel_id": "3480019"}, {"ref": "henupark/park-of-yonsei", "kernel_id": "3445926"}, {"ref": "xhlulu/reducing-image-sizes-to-32x32", "kernel_id": "3392642"}, {"ref": "xhlulu/cnn-baseline-iwildcam-2019", "kernel_id": "3399907"}, {"ref": "xhlulu/densenet-transfer-learning-iwildcam-2019", "kernel_id": "3401239"}, {"ref": "hrush777/data-processing-iwildcam-2019", "kernel_id": "3507097"}, {"ref": "hrush777/densenet121-transfer-learning", "kernel_id": "3508271"}, {"ref": "khiwila/kernelb5c64454eb", "kernel_id": "3905749"}, {"ref": "bonhart/pytorch-eda-and-resnet", "kernel_id": "3775898"}, {"ref": "ashyy1552/4-12-class-notes-with-competition-data", "kernel_id": "3565833"}, {"ref": "akumaldo/resnet-from-scratch-keras", "kernel_id": "3924253"}, {"ref": "bostoncp/kernel228a58319c", "kernel_id": "3500420"}, {"ref": "aarthira/iwildcam-image-classification", "kernel_id": "3963477"}, {"ref": "benjibb/fastai-with-senet154", "kernel_id": "4108679"}, {"ref": "hedibendaoud/keras-vgg-face-recognizer", "kernel_id": "4174109"}, {"ref": "aditya100/iwildcam-2019", "kernel_id": "4714751"}, {"ref": "qaqwsw123/fastai-starter-iwildcam-2019-ad561b", "kernel_id": "4570315"}, {"ref": "shahkan/classification-of-wild-animals", "kernel_id": "4388931"}, {"ref": "s3chwartz/iwildcam-2019", "kernel_id": "4109956"}, {"ref": "rudegs/competition-image-test", "kernel_id": "5272353"}, {"ref": "a03102030/simple-cnn-for-top-10000-data", "kernel_id": "5891901"}, {"ref": "adiletmuk123/iwildcam2019", "kernel_id": "9268537"}, {"ref": "shelvia/deeper-tl-iwildcam2019-effnetlite-b0", "kernel_id": "10251173"}, {"ref": "likhil43/wild-animals-classification", "kernel_id": "11336333"}, {"ref": "cptfoobar/eda-iwc19", "kernel_id": "14425820"}, {"ref": "huyquoctrinh/densenet-transfer-learning-iwildcam-2019", "kernel_id": "21933330"}, {"ref": "esheda/eshed-iwild-model", "kernel_id": "35531178"}, {"ref": "alonfeldinger/first-try-alon-yarin", "kernel_id": "35398641"}]}
{"competition_id": "12964", "kernels": []}
{"competition_id": "12968", "kernels": []}
{"competition_id": "12971", "kernels": []}
{"competition_id": "12974", "kernels": [{"ref": "noswear/movies-genre-prediction", "kernel_id": "2992907"}]}
{"competition_id": "12979", "kernels": []}
{"competition_id": "12987", "kernels": []}
{"competition_id": "13000", "kernels": [{"ref": "ruchibahl18/basic-tutorial-logistic-regression-lb-0-72615", "kernel_id": "2959289"}, {"ref": "deepu2005/notebookb18488c169", "kernel_id": "98897259"}]}
{"competition_id": "13005", "kernels": []}
{"competition_id": "13009", "kernels": []}
{"competition_id": "13012", "kernels": [{"ref": "amanmalali/starter-logistic-regression", "kernel_id": "2931222"}]}
{"competition_id": "13020", "kernels": []}
{"competition_id": "13030", "kernels": [{"ref": "juhumbertaf/tutorial", "kernel_id": "2945716"}, {"ref": "irismaglia/tutorial-iris", "kernel_id": "7742395"}, {"ref": "julesd/td-athens", "kernel_id": "12776696"}, {"ref": "nskesav/tutorial", "kernel_id": "12505592"}, {"ref": "jobar31/my-notebook", "kernel_id": "15258810"}, {"ref": "perryxiao/predictivemaintenancetutorial", "kernel_id": "15945032"}, {"ref": "gwaldy/td-athens-2021", "kernel_id": "22088518"}, {"ref": "teresapi/td-athens-2023", "kernel_id": "35080504"}, {"ref": "teresapi/td-marseille-2023", "kernel_id": "36585104"}, {"ref": "amithm3/predictive-maintenance-pa", "kernel_id": "74219650"}]}
{"competition_id": "13032", "kernels": [{"ref": "latticetower/eda-supercategories-attributes-correctness", "kernel_id": "3805711"}, {"ref": "alexdlikman/imaterials", "kernel_id": "3966488"}, {"ref": "solpaul/fastai-factory-approach-using-mask-images", "kernel_id": "3972248"}, {"ref": "aerdem4/fashion-some-short-sanity-checks", "kernel_id": "3700742"}, {"ref": "mariammohamed/image-resizing-without-losing-the-thin-edges", "kernel_id": "3712670"}, {"ref": "mariammohamed/eda-imaterial", "kernel_id": "3695202"}, {"ref": "thedocs/unet-pytorch-alternate-approach", "kernel_id": "3901408"}, {"ref": "hyeonho/imaterialist-fashion-2019-at-fgvc6-eda", "kernel_id": "3737024"}, {"ref": "interneuron/fastai-custom-rle", "kernel_id": "3766025"}, {"ref": "interneuron/fork-of-fashion-donts", "kernel_id": "3717532"}, {"ref": "interneuron/segmentation-models-pytorch-catalyst", "kernel_id": "3804589"}, {"ref": "go1dfish/u-net-baseline-by-pytorch-in-fgvc6-resize", "kernel_id": "3757257"}, {"ref": "go1dfish/updated4-29-fgvc6-simple-eda", "kernel_id": "3692265"}, {"ref": "jmourad100/eda-imaterialist-fashion-2019-at-fgvc6", "kernel_id": "3693554"}, {"ref": "kimwoojeong/simple-eda-imaterialist-fashion-2019-at-fgvc6", "kernel_id": "3851696"}, {"ref": "pednoi/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "3989695"}, {"ref": "abhishek/mask-rcnn-using-torchvision-0-17", "kernel_id": "4218957"}, {"ref": "nikhilikhar/with-fastai", "kernel_id": "4168264"}, {"ref": "nikhilikhar/fastai-imaterialist-multi-label-data", "kernel_id": "4206498"}, {"ref": "nikhilikhar/fastai-imaterialist-multilabel-segmentation", "kernel_id": "4190588"}, {"ref": "nikhilikhar/fastai-imaterialist-224", "kernel_id": "4038905"}, {"ref": "nikhilikhar/fastai-imaterialist-multilabel-classificat", "kernel_id": "4039155"}, {"ref": "nikhilikhar/fastai-imaterialist-512", "kernel_id": "4041712"}, {"ref": "pednoi/image-segmentation", "kernel_id": "4216673"}, {"ref": "nikhilikhar/u-net-baseline-by-pytorch-steel", "kernel_id": "5162213"}, {"ref": "chadwickcasper/matterport-mask-r-cnn", "kernel_id": "5610299"}, {"ref": "drobchak1988/imaterialist-fashion-2019-fgvc6", "kernel_id": "5465801"}, {"ref": "lhd0430/imaterialist-2019-at-fgvc6", "kernel_id": "6872949"}, {"ref": "praveenniyogi/imaterialist-fashion-2019-fgvc6-m", "kernel_id": "7754683"}, {"ref": "vladimirsydor/nach-otvet-bestu", "kernel_id": "7706968"}, {"ref": "vladimirsydor/best-twohead-unet", "kernel_id": "7705168"}, {"ref": "vladimirsydor/two-head-inference-best", "kernel_id": "7713731"}, {"ref": "vladimirsydor/best-maskrcnn", "kernel_id": "7754918"}, {"ref": "vladimirsydor/best-maskrcnn-inference", "kernel_id": "7766354"}, {"ref": "vladimirsydor/train-unet-mobilenet", "kernel_id": "7602186"}, {"ref": "tupoylogin/imaterialist-test", "kernel_id": "7056560"}, {"ref": "stdntlfe/training-mask-r-cnn", "kernel_id": "8814396"}, {"ref": "adityamehndiratta/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "8981496"}, {"ref": "vishnu2799/final-ai-project", "kernel_id": "9888409"}, {"ref": "vanadhiramadass/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "9295546"}, {"ref": "nipun98/fastai-factory-approach-using-mask-images", "kernel_id": "10368014"}, {"ref": "prabhavsingh/training-mask-r-cnn-to-be-a-fashionista-lb-dfc5f0", "kernel_id": "10897650"}, {"ref": "ramswaroopbhakar14/training-inception-v3-for-fashion-attributes", "kernel_id": "11724995"}, {"ref": "satyamsharma/mask-rcnn-attribute-prediction", "kernel_id": "11222751"}, {"ref": "nirupamkumar/rcnn-model", "kernel_id": "11422060"}, {"ref": "kedarvaidya05/training-inception-v3-for-fashion-attribute-5fa831", "kernel_id": "12553934"}, {"ref": "prashantvaidya/training-inception-v3-for-fashion-attribute-5fa831", "kernel_id": "12889879"}, {"ref": "bornnoob/mainmaterialistic", "kernel_id": "14703451"}, {"ref": "mcampironi/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "15808543"}, {"ref": "bornnoob/training-inception-v3-for-fashion-attributes", "kernel_id": "15272753"}, {"ref": "yeonsunkim/u-net", "kernel_id": "17515381"}, {"ref": "yeonsunkim/fashion-deeplabv3", "kernel_id": "17501578"}, {"ref": "josutk/show-segmentation", "kernel_id": "18887423"}, {"ref": "joslefaure/clothesitemsegmentation", "kernel_id": "19014188"}, {"ref": "learning4me/ml-project-final-version-anyyy-unet-fastai", "kernel_id": "19733031"}, {"ref": "learning4me/eda-fashion-1", "kernel_id": "19376706"}, {"ref": "learning4me/training-mask-r-cnn-to-be-a-fashionista-try-final", "kernel_id": "19374202"}, {"ref": "orkunayl/yeni-model", "kernel_id": "19904682"}, {"ref": "orkunsaylig123/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "19363056"}, {"ref": "cobanbey/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "19479681"}, {"ref": "orkunbaba/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "19612283"}, {"ref": "julian3833/sartorius-starter-torch-mask-r-cnn-lb-0-273", "kernel_id": "21348305"}, {"ref": "anilkrsah/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "25219562"}, {"ref": "kanakraj/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "25398745"}, {"ref": "salonichoubey/mask-rcnn-on-imaterialist-dataset", "kernel_id": "25676911"}, {"ref": "lnc2244/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "25625032"}, {"ref": "lahbibfedi/notebook013ed6d69e", "kernel_id": "26205848"}, {"ref": "klamtis/imat-new", "kernel_id": "34444640"}, {"ref": "thusharanair/instance-segmentation-maskrcnn-with-resnet50", "kernel_id": "42355132"}, {"ref": "angiecastillo0907/training-mask-r-cnn-to-be-a-fashionista-lb-924f68", "kernel_id": "49613020"}, {"ref": "nhnlquang/food-segmentation-mask-rcnn-tf2", "kernel_id": "55484423"}, {"ref": "ylmazcanyldzbayrak/mainmaterialistic", "kernel_id": "55397306"}, {"ref": "ylmazcanyldzbayrak/show-segmentation", "kernel_id": "55379499"}, {"ref": "nhphucqt/cloth-segm-v2", "kernel_id": "57447268"}, {"ref": "nhphucqt/clothsegm-u2net", "kernel_id": "57432347"}, {"ref": "datianqi/my-training-mask-r-cnn-lb-0-07", "kernel_id": "58969491"}, {"ref": "tristanjiahao/the-grand-final", "kernel_id": "59043896"}, {"ref": "hasancanzkan/visualize-images", "kernel_id": "72856575"}, {"ref": "arslankhalilov23/training-mask-r-cnn-deepfashion2", "kernel_id": "83229856"}, {"ref": "khattab1412/training-mask-r-cnn-deepfashion2", "kernel_id": "84398684"}, {"ref": "mariemossamahussien/train-maskrcnn", "kernel_id": "129295208"}, {"ref": "mariemossamahussien/data-prep-and-remap", "kernel_id": "129268205"}]}
{"competition_id": "13034", "kernels": [{"ref": "itslek/baseline-mnist-cnn-keras", "kernel_id": "3001996"}]}
{"competition_id": "13036", "kernels": []}
{"competition_id": "13037", "kernels": []}
{"competition_id": "13044", "kernels": [{"ref": "kashnitsky/dota-2-win-prediction-random-forest-starter", "kernel_id": "2959111"}, {"ref": "kashnitsky/dota-2-adversarial-validation-and-shake-up", "kernel_id": "3391561"}, {"ref": "clair14/gold-is-the-reason-teams-and-bayes-for-lightgbm", "kernel_id": "3496169"}, {"ref": "artgor/dota-eda-fe-and-models", "kernel_id": "3482521"}, {"ref": "grazder/hero-items-guide", "kernel_id": "3518323"}, {"ref": "utapyngo/fast-feature-extraction-from-jsonl-files", "kernel_id": "3517573"}, {"ref": "dromosys/lightgbm-starter-code-simple-opt", "kernel_id": "3391289"}, {"ref": "dromosys/lightgbm-starter-code-opt-early-stop", "kernel_id": "3414152"}, {"ref": "dromosys/dota-fastai-starter-code", "kernel_id": "3329018"}, {"ref": "dromosys/lightgbm-starter-code-bayessearch", "kernel_id": "3469300"}, {"ref": "dromosys/lightgbm-starter-bayesianoptimization", "kernel_id": "3469493"}, {"ref": "kandid/more-data-for-dota", "kernel_id": "3486483"}, {"ref": "vchulski/dota-2-eda-and-simple-models-comparing", "kernel_id": "3315659"}, {"ref": "vchulski/dota-2-catboost-and-shap-explainer", "kernel_id": "3347804"}, {"ref": "shivampanwar/catboost-and-hyperparameter-tuning-using-bayes", "kernel_id": "3464002"}, {"ref": "looterlex/understanding-features-from-json-and-some-ideas", "kernel_id": "3494448"}, {"ref": "olegkochetkov/simple-weighted-average-to-advance-on-leaderboard", "kernel_id": "3710969"}, {"ref": "shokhan/neural-network-to-predict-dota-2-winner", "kernel_id": "3473856"}, {"ref": "shokhan/lightgbm-starter-code", "kernel_id": "3322253"}, {"ref": "kuzand/dota-2-winner-prediction-multilayer-nn-pytorch", "kernel_id": "3394789"}, {"ref": "kuzand/bag-of-heroes-logistic-regression", "kernel_id": "3452468"}, {"ref": "kuzand/dota-2-hero-roles", "kernel_id": "3514048"}, {"ref": "daemonis/combine-hero-features-into-team-ones-basic", "kernel_id": "3401687"}, {"ref": "akensin/two-tricks-that-do-your-work-more-pleasant", "kernel_id": "3426340"}, {"ref": "omargurashi1/fork-of-dota-eda-fe-and-models", "kernel_id": "3615091"}, {"ref": "kirreall/dota-2-joining-hero-statistics-to-our-dataset", "kernel_id": "3494253"}, {"ref": "pursh2002/dota-eda-fe-and-models", "kernel_id": "6667364"}, {"ref": "smsrikanthreddy/dota-2-win-prediction-logistic-regression", "kernel_id": "6533380"}, {"ref": "marketneutral/dota-2-coordinates-eda-animated", "kernel_id": "6701115"}, {"ref": "alexey1s/get-12-on-dota-lb-with-a-magic-mirror", "kernel_id": "6706279"}, {"ref": "ganusyak/dota-2-basic-workflow-upsampling", "kernel_id": "6696031"}, {"ref": "chetvertakov/dota-2-engineering-coordinates-features", "kernel_id": "6776397"}, {"ref": "chetvertakov/little-addition-to-hero-items-guide", "kernel_id": "6696457"}, {"ref": "andapka/dota-2-with-time", "kernel_id": "6660803"}, {"ref": "karthur10/data-extraction-from-json-additional-features", "kernel_id": "6679794"}, {"ref": "karthur10/eda-with-gini-coefficient-fe-on-extended-dataset", "kernel_id": "6681269"}, {"ref": "morisdibil/mlcourse-ai-fall2019-team-id683", "kernel_id": "6649719"}, {"ref": "puffofsmoke/dota-dataset-upsampling", "kernel_id": "6695155"}, {"ref": "lml1013/dota-models", "kernel_id": "6220966"}, {"ref": "koshiu/heroes-winrates", "kernel_id": "6699120"}, {"ref": "ponomarevav/obtaining-a-team-solution-with-stacking-and-more", "kernel_id": "6710750"}, {"ref": "lancengck/learning-journey-3-predicting-dota-winners", "kernel_id": "10012193"}, {"ref": "valeriiazheleznova/dota2-prediction-ml-rgr", "kernel_id": "17349596"}, {"ref": "kapakudaibergenov/dota2-gb-and-logregression-prediction", "kernel_id": "22218210"}, {"ref": "tangtunyu/10botics-dota-2-prediction", "kernel_id": "28739065"}, {"ref": "tingwailo/10botics-dota-2-prediction", "kernel_id": "28792576"}, {"ref": "hwhc777/10botics-dota-2-prediction", "kernel_id": "28792629"}, {"ref": "akmanovaliza/notebookc506ca1121", "kernel_id": "38074216"}, {"ref": "javohirsultonov/dotaradiantwinpredict", "kernel_id": "71231471"}, {"ref": "georgiydedov/dota-2-prediction", "kernel_id": "71233437"}, {"ref": "nixk1ziby/boosting-optuna", "kernel_id": "83462606"}, {"ref": "vincenthwq/dota2-win-prediction", "kernel_id": "130908072"}]}
{"competition_id": "13050", "kernels": []}
{"competition_id": "13058", "kernels": [{"ref": "utapyngo/hot-dog-recognition-with-fast-ai", "kernel_id": "4094961"}, {"ref": "iljailya/kernel6fb4656495", "kernel_id": "9563751"}, {"ref": "guineverechan/hot-dog-recognition-with-fastai2", "kernel_id": "18501147"}, {"ref": "romanrybalko/resnet-color-tolerance", "kernel_id": "38982515"}, {"ref": "bilgingunes/hot-dog-recognition", "kernel_id": "84831214"}]}
{"competition_id": "13077", "kernels": []}
{"competition_id": "13078", "kernels": []}
{"competition_id": "13079", "kernels": []}
{"competition_id": "13082", "kernels": [{"ref": "kevenfc/evaluation-staticalfords-f01-private-lb-0-81671", "kernel_id": "3052809"}, {"ref": "alexisalvarez/testing-logistic-regression", "kernel_id": "3011747"}, {"ref": "kvdatadragon/an-lisis-de-variables", "kernel_id": "3009163"}, {"ref": "danielrodrigueztr/trabajo-examen-modulo-supervised-learning", "kernel_id": "12618036"}]}
{"competition_id": "13084", "kernels": []}
{"competition_id": "13091", "kernels": []}
{"competition_id": "13092", "kernels": []}
{"competition_id": "13093", "kernels": []}
{"competition_id": "13098", "kernels": []}
{"competition_id": "13100", "kernels": []}
{"competition_id": "13101", "kernels": [{"ref": "halfbloodprince16/nju2019", "kernel_id": "3006840"}]}
{"competition_id": "13121", "kernels": [{"ref": "ajahirhu/kernelcc503c8d35", "kernel_id": "3067017"}]}
{"competition_id": "13122", "kernels": []}
{"competition_id": "13124", "kernels": []}
{"competition_id": "13125", "kernels": []}
{"competition_id": "13137", "kernels": []}
{"competition_id": "13157", "kernels": [{"ref": "seefun/simple-eda-of-fieldguide-challenge", "kernel_id": "3451511"}]}
{"competition_id": "13162", "kernels": []}
{"competition_id": "13172", "kernels": []}
{"competition_id": "13177", "kernels": []}
{"competition_id": "13180", "kernels": []}
{"competition_id": "13204", "kernels": []}
{"competition_id": "13211", "kernels": [{"ref": "xueruiwu/function-score", "kernel_id": "3638939"}]}
{"competition_id": "13212", "kernels": []}
{"competition_id": "13215", "kernels": []}
{"competition_id": "13216", "kernels": []}
{"competition_id": "13221", "kernels": []}
{"competition_id": "13222", "kernels": [{"ref": "fermion/baseline", "kernel_id": "3097893"}]}
{"competition_id": "13226", "kernels": [{"ref": "gauris/baseline-kernel", "kernel_id": "3066837"}]}
{"competition_id": "13232", "kernels": []}
{"competition_id": "13236", "kernels": []}
{"competition_id": "13242", "kernels": [{"ref": "adilbek/svm-with-minimal-data-preprocessing", "kernel_id": "3369701"}, {"ref": "maxl28618/first-baseline", "kernel_id": "3290204"}, {"ref": "maxl28618/initial-eda", "kernel_id": "3278995"}, {"ref": "maxl28618/lstm-in-pytorch", "kernel_id": "3311436"}, {"ref": "christoffer/establishing-sampling-frequency", "kernel_id": "3348628"}, {"ref": "maximostapenko/careercon2019-data-visualization", "kernel_id": "3440170"}, {"ref": "rjmishra/simple-eda-and-naive-approach", "kernel_id": "3354429"}, {"ref": "devinanzelmo/cv-method-v1", "kernel_id": "3447818"}, {"ref": "antriksh5235/careercon-first-attempt", "kernel_id": "3426333"}, {"ref": "sivakumard/kaggle-challenge-xgboost", "kernel_id": "3295916"}, {"ref": "cyones77/cnn-with-residual-connections-25th-private", "kernel_id": "3675413"}, {"ref": "amsharm2/myfirst-careercon-2019", "kernel_id": "3522757"}, {"ref": "weedjy/probing-different-classifiers", "kernel_id": "3398253"}, {"ref": "anki54/tiptaptoe", "kernel_id": "3359965"}, {"ref": "galloshibayo/eda-and-submitting-simple-model", "kernel_id": "3267110"}, {"ref": "prith189/starter-code-for-3rd-place-solution", "kernel_id": "3564364"}, {"ref": "guilhermekodama/carrercon-rf-baseline-and-simple-features", "kernel_id": "3562455"}, {"ref": "anjum48/leakage-within-the-train-dataset", "kernel_id": "3505506"}, {"ref": "alexgomes3/careercon2019-data-visualization", "kernel_id": "3379578"}, {"ref": "hsinwenchang/randomforestclassifier", "kernel_id": "3280403"}, {"ref": "hsinwenchang/more-bidirectional-cudnnlstm-layer", "kernel_id": "3259430"}, {"ref": "ajnovice/random-forest-with-sfolds", "kernel_id": "3488593"}, {"ref": "farazrahman/help-thy-robots-eda", "kernel_id": "3308850"}, {"ref": "yaswanthkumar/robots", "kernel_id": "3563108"}, {"ref": "dogugun/mykernel", "kernel_id": "3368728"}, {"ref": "vishesh17/lgb-starter", "kernel_id": "3258618"}, {"ref": "hcmarchezi/robot-navigation-data-exploration-r", "kernel_id": "3377100"}, {"ref": "pluceroo/new-features-lgbm-and-simple-rf", "kernel_id": "3270541"}, {"ref": "robikscube/navigate-robots-first-look-and-eda", "kernel_id": "3258190"}, {"ref": "ruslanjan/basic-svm-for-multi-classification-0-39-score", "kernel_id": "3250593"}, {"ref": "nikitpatel/bidirectional-cudnnlstm-feature-with-ml", "kernel_id": "3346381"}, {"ref": "nikitpatel/deep-learning-machine-learning-rf-lgbm-dt-knn-ada", "kernel_id": "3309694"}, {"ref": "nikitpatel/keras-lstm-with-sequences-window-length", "kernel_id": "3254799"}, {"ref": "nikitpatel/lstm-nn-nn-gru-deep-learning", "kernel_id": "3296401"}, {"ref": "danisamba/new-in-kaggle-eda-step-by-step", "kernel_id": "3270229"}, {"ref": "ionutmironica/career-con", "kernel_id": "3812582"}, {"ref": "mohi549/lgb-carrercon", "kernel_id": "3524180"}, {"ref": "ykhatami/robots-in-wilderness", "kernel_id": "3379626"}, {"ref": "purplejester/quaterni-what", "kernel_id": "3261988"}, {"ref": "purplejester/a-simple-lstm-based-time-series-classifier", "kernel_id": "3542409"}, {"ref": "purplejester/the-best-friend-of-an-alchemist", "kernel_id": "3534218"}, {"ref": "purplejester/pytorch-deep-time-series-classification", "kernel_id": "3615264"}, {"ref": "manishym/importance-of-group-id", "kernel_id": "3495157"}, {"ref": "artgor/basic-pytorch-lstm", "kernel_id": "3261499"}, {"ref": "artgor/bayesian-optimization-for-robots", "kernel_id": "3262144"}, {"ref": "artgor/where-do-the-robots-drive", "kernel_id": "3255308"}, {"ref": "hermesdt/pytorch-cnns", "kernel_id": "3256284"}, {"ref": "gpreda/robots-need-help", "kernel_id": "3284934"}, {"ref": "ishivinal/hyperparamters-optimization-gs-rs-boa-tpe-hb-ga", "kernel_id": "3334577"}, {"ref": "ashishpatel26/simple-lightgbm-starter", "kernel_id": "3383254"}, {"ref": "ashishpatel26/best-model-checking-extratree-classifier", "kernel_id": "3382657"}, {"ref": "ggopalan/spectral-analysis-with-lightgbm-v1", "kernel_id": "3510312"}, {"ref": "axel81/help-humanity-by-helping-robots-fastai", "kernel_id": "3354440"}, {"ref": "tatianass/eda-types-of-surface-and-movement-behavior", "kernel_id": "3277700"}, {"ref": "sgorlick/starter-code-for-careercon2019", "kernel_id": "3287943"}, {"ref": "kumarhalake/peaks-exploration-in-data", "kernel_id": "3527315"}, {"ref": "seshadrikolluri/careercon-2019-sample-rnn-approach", "kernel_id": "3294889"}, {"ref": "arpanag/robot-walker-help", "kernel_id": "3346895"}, {"ref": "prabhatkumarsahu/helping-robots-career-con", "kernel_id": "3561762"}, {"ref": "jesprite14/starter-code", "kernel_id": "3326804"}, {"ref": "ankita19/carrercon-2019-where-is-a-robot-standing-eda", "kernel_id": "3466617"}, {"ref": "kepure/1d-cnn-lstm", "kernel_id": "3537827"}, {"ref": "serg132003/lgb-plus-euler", "kernel_id": "3309750"}, {"ref": "shaz13/code-snippet-for-visualizing-series-id", "kernel_id": "3444024"}, {"ref": "holar9/catboost-starter", "kernel_id": "3290357"}, {"ref": "itsmesunil/robot-sensor-data-analysis", "kernel_id": "3312458"}, {"ref": "rijboy/help-robot-navigate-random-forest-fastai", "kernel_id": "3708136"}, {"ref": "dimitreoliveira/deep-learning-helping-navigate-robots", "kernel_id": "3268829"}, {"ref": "donkeys/distribution-hack", "kernel_id": "3342084"}, {"ref": "donkeys/my-little-eda-with-random-forest", "kernel_id": "3369413"}, {"ref": "daftintrovert/help-humanity-by-helping-robots", "kernel_id": "3325931"}, {"ref": "jerrinrajan/1-smart-robots-most-complete-notebook", "kernel_id": "3598620"}, {"ref": "algorrt/highest-scoring-public-kernel-starter-sol-29", "kernel_id": "3569017"}, {"ref": "prashantkikani/help-humanity-by-helping-robots", "kernel_id": "3265281"}, {"ref": "victororlov/career-con-2019-simple-cnn-rnn-solutuion", "kernel_id": "3401810"}, {"ref": "mythili895/careercon", "kernel_id": "3609910"}, {"ref": "marcushorn/random-forest-ensemble-w-smote", "kernel_id": "3539758"}, {"ref": "bhaveshbadjatya/3-bayesian-optimization", "kernel_id": "3301033"}, {"ref": "whoiskk/validation-strategy-randomforest-0-71", "kernel_id": "3342350"}, {"ref": "whoiskk/15-solution-private-0-77", "kernel_id": "3560929"}, {"ref": "mohanamurali/conv1d-keras", "kernel_id": "3262369"}, {"ref": "mehranrafiee/robots-of-future-career", "kernel_id": "3258277"}, {"ref": "deisler/navigate-robots", "kernel_id": "3329690"}, {"ref": "ilhamfp31/fast-fourier-transform-denoising", "kernel_id": "3491706"}, {"ref": "ilhamfp31/16-solution-private-0-76", "kernel_id": "3564072"}, {"ref": "ab971631/careercon-lightgbm", "kernel_id": "3261197"}, {"ref": "skondrash/nn-lstm-fft-features", "kernel_id": "3541598"}, {"ref": "premvardhan/identify-robot-surface-careercon2019", "kernel_id": "3261400"}, {"ref": "guntherthepenguin/fastai-lstm", "kernel_id": "3303632"}, {"ref": "guntherthepenguin/adversarial-validation", "kernel_id": "3312906"}, {"ref": "guntherthepenguin/fastai-cnn-approach", "kernel_id": "3264266"}, {"ref": "chanuran/tsfresh-feature", "kernel_id": "3331877"}, {"ref": "adarbha/pmm-3", "kernel_id": "3399455"}, {"ref": "sarmat/baseline-cnn-for-signal-prediction", "kernel_id": "3413051"}, {"ref": "agrawalparidhi09/random-forest-model", "kernel_id": "3348365"}, {"ref": "nikitagrec/feature-engineering-random-forest", "kernel_id": "3274464"}, {"ref": "jsaguiar/surface-recognition-baseline", "kernel_id": "3258009"}, {"ref": "anuragshas/carrercon2019", "kernel_id": "3332332"}, {"ref": "rahulkiran94/rahul-kiran-surface-prediction", "kernel_id": "3549659"}, {"ref": "overload10/xgboost-and-rf", "kernel_id": "3531252"}, {"ref": "overload10/surface-prediction-feature-engineering", "kernel_id": "3286640"}, {"ref": "pswaldia1/help-navigate-robot-random-forest", "kernel_id": "3288424"}, {"ref": "ammar111/help-navigate-robots-65th-place-solution", "kernel_id": "3575094"}, {"ref": "tatianaskv/robot-surfaces-rf", "kernel_id": "3550067"}, {"ref": "abefetterman/pytorch-starter", "kernel_id": "3259045"}, {"ref": "narendrashu/k-fold-rf-gbm", "kernel_id": "3530510"}, {"ref": "narendrashu/baseline-rf", "kernel_id": "3270699"}, {"ref": "jackg0/multi-input-deep-learning-model-baseline", "kernel_id": "3311492"}, {"ref": "ludovicoristori/scratching-the-surface", "kernel_id": "3302359"}, {"ref": "sureshsuri/robot-moving-direction", "kernel_id": "3522066"}, {"ref": "darryldias/simple-submission-analysis-dd17", "kernel_id": "3304735"}, {"ref": "priyagudwani/learner-robot", "kernel_id": "3344196"}, {"ref": "beamers/where-do-the-robots-drive", "kernel_id": "3295773"}, {"ref": "wolfy73/robots-need-help", "kernel_id": "3319167"}, {"ref": "kbhartiya83/svm-classifer", "kernel_id": "3256345"}, {"ref": "taigokuriyama/data-overview-with-pandas-profiling", "kernel_id": "3284880"}, {"ref": "taigokuriyama/k-nn-feature-extraction", "kernel_id": "3503701"}, {"ref": "taigokuriyama/random-forest-baseline", "kernel_id": "3486645"}, {"ref": "kageyama/predict-by-lightgbm", "kernel_id": "3282728"}, {"ref": "pnussbaum/cnn-v03q1", "kernel_id": "3538495"}, {"ref": "askanio/rf-0-67-eulers-viz", "kernel_id": "3402810"}, {"ref": "ngttue/frequency-analysis-as-features-no-time-series", "kernel_id": "3564205"}, {"ref": "gdaniels/kernel2c55a73c86", "kernel_id": "3562453"}, {"ref": "theoviel/deep-learning-starter", "kernel_id": "3254037"}, {"ref": "nitishkulkarni1006/feature-engineering-random-forest-classifier", "kernel_id": "3794125"}, {"ref": "rstogi896/deep-learning-randomforest-lightgbm-k-fold", "kernel_id": "3305761"}, {"ref": "jaisanant/kernel6df3f5e7c4", "kernel_id": "3258239"}, {"ref": "mayank1261998/a-novice-is-learning-right-now", "kernel_id": "3372390"}, {"ref": "venky73/analyzing-and-predicting-surfaces", "kernel_id": "3256208"}, {"ref": "lockeza/careercon-convneuralnet-starter", "kernel_id": "3397022"}, {"ref": "dkmerona/multi-input-rnn-cnn-wavelet", "kernel_id": "3538419"}, {"ref": "dkmerona/multi-input-rnn-cnn", "kernel_id": "3578421"}, {"ref": "nolanhoney/working-random-forest-addition", "kernel_id": "3455899"}, {"ref": "ihawks/kernele69c850bd3", "kernel_id": "3276223"}, {"ref": "mdvmeijer/data-exploration", "kernel_id": "3333919"}, {"ref": "sanupsunny/make-your-move-help-robots-reach-surface", "kernel_id": "3330414"}, {"ref": "feichin/helping-robots-with-anova", "kernel_id": "3372316"}, {"ref": "jazivxt/random-forest-testing", "kernel_id": "3371924"}, {"ref": "jazivxt/line-of-sight", "kernel_id": "3249500"}, {"ref": "faezakamran/careercon-2019-robot-navigation", "kernel_id": "3557070"}, {"ref": "asauve/features-engineering-with-nn", "kernel_id": "3528618"}, {"ref": "asauve/smart-robots-with-wavelets", "kernel_id": "3474191"}, {"ref": "asauve/wavelet-transform-of-chained-series", "kernel_id": "3583068"}, {"ref": "navarro380/cnn-doesn-t-work", "kernel_id": "3493392"}, {"ref": "lavanyadml/careercon-2019-eda", "kernel_id": "3266530"}, {"ref": "pjofrelora/hybrid-classifier-solution-11th-place", "kernel_id": "3652094"}, {"ref": "devastatingdj/prelim-competition", "kernel_id": "3326158"}, {"ref": "abdurrafae/using-group-id-s-the-right-way", "kernel_id": "3532520"}, {"ref": "sohamgurjar23/finding-the-base-random-forest-with-0-66-on-lb", "kernel_id": "3364274"}, {"ref": "friedchips/the-missing-link", "kernel_id": "3531585"}, {"ref": "ojashreebhandare/random-forest-classifier-with-feature-engineering", "kernel_id": "3797957"}, {"ref": "deepdreamx/eda-robot", "kernel_id": "3275334"}, {"ref": "fk0728/weasel-muse-method-for-classifying-robot-readings", "kernel_id": "3934402"}, {"ref": "shinjinibasu/helping-robots-full", "kernel_id": "3565755"}, {"ref": "subhamsharma96/careercon-eda-fe-rf", "kernel_id": "3301893"}, {"ref": "arlen444/simple-and-quick-tensorflow-dnnclassifier", "kernel_id": "3313963"}, {"ref": "soysouce/a-beginner-s-solution-33-0-73", "kernel_id": "3564845"}, {"ref": "msantos12/analasis-with-keras-and-pandas", "kernel_id": "3289777"}, {"ref": "oluwaody/the-humanoid-tier-recognition-with-kfold-nn", "kernel_id": "3262870"}, {"ref": "myoung859/3809-samples-vs-one-inexperienced-boi", "kernel_id": "3325904"}, {"ref": "yutewang/yt-multi-headed-convolutional-neural-network", "kernel_id": "3282616"}, {"ref": "jesucristo/1-smart-robots-most-complete-notebook", "kernel_id": "3337689"}, {"ref": "jesucristo/1-smart-robots-complete-compilation", "kernel_id": "3484267"}, {"ref": "palend/basemodel-rnn", "kernel_id": "3252195"}, {"ref": "chrisliuxiqiao/help-robots-distinct-surface-types", "kernel_id": "3553418"}, {"ref": "andrewzolotarev/cc-2019", "kernel_id": "3364132"}, {"ref": "trohwer64/split-training-validation-by-complete-group", "kernel_id": "3428933"}, {"ref": "trohwer64/simple-fourier-analysis", "kernel_id": "3349846"}, {"ref": "trohwer64/submission-fourier-neighbour-detection-svm", "kernel_id": "3567937"}, {"ref": "indranilkhedkar/careercon2019-ik", "kernel_id": "3387981"}, {"ref": "drrdrem/cnn-lenet5-two-input", "kernel_id": "3402873"}, {"ref": "drrdrem/gmmhmm", "kernel_id": "3410040"}, {"ref": "suryamr/multilabel-onevsrest-linearsvc-classifier", "kernel_id": "3271128"}, {"ref": "suryamr/multilabel-onevs-rest-classifier-lda", "kernel_id": "3294610"}, {"ref": "pierretilak/from-grip-and-flatness", "kernel_id": "3263827"}, {"ref": "pierretilak/kiss-surface-classifier", "kernel_id": "3398466"}, {"ref": "acbutakov/automatically-check-missing-values-in-dataset", "kernel_id": "3583787"}, {"ref": "acbutakov/pro-plotting-in-python-with-plotly", "kernel_id": "3943918"}, {"ref": "acbutakov/stock-prices-prediction-xgboost-moex", "kernel_id": "3944449"}, {"ref": "kbosko/robot-navigation-pca", "kernel_id": "3563972"}, {"ref": "atulmangla/helping-robot-random-forest", "kernel_id": "3586279"}, {"ref": "sudeepto22/kernelbb7a9eef90", "kernel_id": "4625193"}, {"ref": "lhd0430/2019careercon-help-navigate-robot", "kernel_id": "5042582"}, {"ref": "zhangguoxiao/smid-ca", "kernel_id": "6525928"}, {"ref": "darshan9/condata2019-competition", "kernel_id": "7878323"}, {"ref": "samasth/ai-project-1", "kernel_id": "8048808"}, {"ref": "egoist/ai-project-1", "kernel_id": "8049172"}, {"ref": "haoranzhux/hz1922-haoranzhu-nyu-cs-gy-6613-kernel", "kernel_id": "8049381"}, {"ref": "leelightman/surface-type-classification", "kernel_id": "8049277"}, {"ref": "haneenalsuradi/project-1-ai-course", "kernel_id": "8095061"}, {"ref": "zetedai/kaggle-careercon-2019-help-navigate-robots", "kernel_id": "8195964"}, {"ref": "aishwaryakore/kernel26fa200b6e", "kernel_id": "8209100"}, {"ref": "jonathanglaser/ai-project-1", "kernel_id": "8016955"}, {"ref": "richanshujha/surface-type-classification", "kernel_id": "8067797"}, {"ref": "abhishektyagi001/robot-navigation-help", "kernel_id": "11876597"}, {"ref": "charithreddy1o1/ads-experiential-learning", "kernel_id": "12180097"}, {"ref": "kanisha04/assignment-2", "kernel_id": "12523073"}, {"ref": "lawrencehe/robots-floor-surface-lstm", "kernel_id": "14950100"}, {"ref": "jean97/deep-learning-sleep-stage-classification", "kernel_id": "23421116"}, {"ref": "pankajvaluence/lstm-based-time-series-classifier", "kernel_id": "27954570"}, {"ref": "danilopaula/cross-val-comparison-for-help-navigate-robots", "kernel_id": "28053468"}, {"ref": "yagli18/tmdb-box-office-prediction", "kernel_id": "29864744"}, {"ref": "saymanshariff/pytorch-deep-time-series-classification-j", "kernel_id": "30551301"}, {"ref": "peterilberg/notebook062c919140", "kernel_id": "32238114"}, {"ref": "mariomarquezpaz/robot-sensor-eda-fe-and-prediction-improvement", "kernel_id": "36349149"}, {"ref": "kwach00/a-simple-lstm-based-time-series-classifier", "kernel_id": "44950040"}, {"ref": "olgaparfenova/help-navigate-robots", "kernel_id": "69609766"}, {"ref": "lunofercrantz/solutuicareercon2019", "kernel_id": "72715947"}]}
{"competition_id": "13244", "kernels": [{"ref": "gauris/baseline-kernel-v1", "kernel_id": "3081251"}, {"ref": "rajeevreddyilavala/baseline-kernel-v1", "kernel_id": "3106852"}]}
{"competition_id": "13248", "kernels": []}
{"competition_id": "13250", "kernels": [{"ref": "miatran0/nlp-classification", "kernel_id": "9851782"}, {"ref": "andreylipin/medrecord-classification", "kernel_id": "97458662"}]}
{"competition_id": "13251", "kernels": [{"ref": "konradb/really-ugly-clone", "kernel_id": "3488063"}, {"ref": "lopuhin/imet-2019-submission", "kernel_id": "3441522"}, {"ref": "mpsampat/fastai-resnet50-imet-v4-2", "kernel_id": "3732099"}, {"ref": "kenmatsu4/f2-score-for-keras", "kernel_id": "3440426"}, {"ref": "kenmatsu4/first-eda-label-coocurrence-matrix", "kernel_id": "3427451"}, {"ref": "ttahara/imet2019-chainer-starter-seresnet152-focalloss", "kernel_id": "3548660"}, {"ref": "ttahara/eda-compare-number-of-culture-and-tag-attributes", "kernel_id": "3457842"}, {"ref": "mariammohamed/imet-eda", "kernel_id": "3645602"}, {"ref": "kimukimu/aspect-ratio-histogram", "kernel_id": "3516471"}, {"ref": "seefun/imet-get-aspect-ratio", "kernel_id": "3605225"}, {"ref": "ren4yu/eda-culture-and-tag-cooccurrence", "kernel_id": "3422270"}, {"ref": "nubatama/eda-imet", "kernel_id": "3442603"}, {"ref": "vonneumann/eda-compare-number-of-culture-and-tag-attributes", "kernel_id": "3587562"}, {"ref": "axel81/imet-fastai-starter-resnet152-focal-loss", "kernel_id": "3467362"}, {"ref": "axel81/eda-imet-collection", "kernel_id": "3717613"}, {"ref": "stalkermustang/pytorch-resnet18-pretraied-test", "kernel_id": "3414659"}, {"ref": "mathormad/resnet50-v2-keras-focal-loss-mix-up", "kernel_id": "3435600"}, {"ref": "kiurtis/a-step-by-step-eda", "kernel_id": "3528740"}, {"ref": "autuanliuyc/imet-densenet-se-resnext101-32x4d", "kernel_id": "3871791"}, {"ref": "jionie/eda-classes-most-frequent-and-least-frequent", "kernel_id": "3629848"}, {"ref": "dimitreoliveira/imet-collection-2019-eda-keras", "kernel_id": "3414874"}, {"ref": "dimitreoliveira/imet-keras-pretrained-model-as-feature-extractor", "kernel_id": "3653784"}, {"ref": "hengzheng/imet-first-try", "kernel_id": "3424180"}, {"ref": "hengzheng/imet-densenet-and-two-weighted-outputs-model", "kernel_id": "3444216"}, {"ref": "itwice/kernel266d1c7f1f", "kernel_id": "3789949"}, {"ref": "go5kuramubon/eda-a-lot-of-labels-have-few-images", "kernel_id": "3425816"}, {"ref": "ateplyuk/keras-starter", "kernel_id": "3413391"}, {"ref": "ateplyuk/remove-background", "kernel_id": "3651560"}, {"ref": "namgalielei/imet-tensorflow", "kernel_id": "3990484"}, {"ref": "tarunpaparaju/imet-competition-cultural-eda", "kernel_id": "3711192"}, {"ref": "ratthachat/imet-resnet50-keras-starter", "kernel_id": "3474574"}, {"ref": "demonplus/fastai-resnet152-imet", "kernel_id": "3593954"}, {"ref": "yfyangd/imet-eda", "kernel_id": "3994404"}, {"ref": "sujoykg/xception-keras-imet", "kernel_id": "3607428"}, {"ref": "takamichitoda/attribute-name-s-word-vector", "kernel_id": "3492738"}, {"ref": "takamichitoda/fine-tuning-vgg16", "kernel_id": "3422255"}, {"ref": "hidehisaarai1213/imet-pytorch-starter", "kernel_id": "3426571"}, {"ref": "mnpinto/imet-fastai-starter", "kernel_id": "3440340"}, {"ref": "parmarsuraj99/pytorch-starter", "kernel_id": "3770258"}, {"ref": "shubham505/best-submission", "kernel_id": "3891180"}, {"ref": "kokecacao/imet-word-embedding", "kernel_id": "3652836"}, {"ref": "lorenzomnto/imet-separate-culture-tag-models", "kernel_id": "3718622"}, {"ref": "narendrashu/imet-fastai", "kernel_id": "3616339"}, {"ref": "gskdhiman/public-version-pytorch-resnet50-starter-v2", "kernel_id": "3953046"}, {"ref": "chewzy/train-file-with-labels-and-meta-data", "kernel_id": "3644312"}, {"ref": "chewzy/eda-weird-images-with-new-updates", "kernel_id": "3473553"}, {"ref": "bigswimatom/exploration-of-data-of-imet-step-by-step", "kernel_id": "3422800"}, {"ref": "dilapsky/image-padding", "kernel_id": "3686827"}, {"ref": "dilapsky/easy-71st-0-626-7fold-fastai-incepresv2-resnet50", "kernel_id": "3994821"}, {"ref": "interneuron/wormnet", "kernel_id": "3687217"}, {"ref": "interneuron/randomwire", "kernel_id": "3639281"}, {"ref": "go1dfish/eda-on-imet-collection-2019", "kernel_id": "3426032"}, {"ref": "backaggle/imet-fastai-starter-focal-and-fbeta-loss", "kernel_id": "3461141"}, {"ref": "bejeweled/fast-and-simple-eda-sample-sub-0-00053", "kernel_id": "3412219"}, {"ref": "kenakai16/training", "kernel_id": "3903434"}, {"ref": "tony92151/pytorch-densenet161-resnet18", "kernel_id": "3964665"}, {"ref": "tony92151/kernel-dsaifinal4", "kernel_id": "3960755"}, {"ref": "itslek/fastai-resnet50-imet-v4-2", "kernel_id": "3556400"}, {"ref": "maxlenormand/eda-look-into-image-size", "kernel_id": "3557162"}, {"ref": "jshen97/label-exploration-and-clustering", "kernel_id": "3779774"}, {"ref": "xiuchengwang/keras-xception-fine-turning-facol-loss", "kernel_id": "3472408"}, {"ref": "xiuchengwang/cnn-keras-starter-senet-50", "kernel_id": "3422492"}, {"ref": "ji648513181/imet-data-analysis-all", "kernel_id": "3578193"}, {"ref": "eseymour/sklearn-dummy-baseline", "kernel_id": "3734837"}, {"ref": "saladjay/densetnet-mixup-focalloss-v11", "kernel_id": "3892742"}, {"ref": "poorcow/imet-densenet201", "kernel_id": "3879628"}, {"ref": "arailly/multi-label-f-beta-score", "kernel_id": "3460794"}, {"ref": "hanmingliu/eda-on-frequent-labels", "kernel_id": "3787674"}, {"ref": "ceshine/imet-trainer", "kernel_id": "4320250"}, {"ref": "ceshine/imet-inference-kernel-public", "kernel_id": "4320468"}, {"ref": "ceshine/imet-validation-kernel-public", "kernel_id": "4638055"}, {"ref": "ashishsinhaiitr/nasnet", "kernel_id": "4031439"}, {"ref": "h4211819/leaderboard-analysis", "kernel_id": "4390822"}, {"ref": "luyujia/fast-5-times-test-data-generator", "kernel_id": "4066214"}, {"ref": "luyujia/pytorch-my-tta-function-easy-to-understand", "kernel_id": "4064539"}, {"ref": "axel81/ensembling-imet", "kernel_id": "4118850"}, {"ref": "byrachonok/sigmoid-and-softmax-output-mix-pytorch-resnet18", "kernel_id": "4030122"}, {"ref": "wx284260582/dataking-kernal", "kernel_id": "4065390"}, {"ref": "jionie/training-fold-0-ibnresnext101-lovasz-focal", "kernel_id": "4134644"}, {"ref": "ateplyuk/efficientnet-keras-s75-b200-e20", "kernel_id": "4109063"}, {"ref": "alexanderliao/leaderboard-analysis-with-t-test-for-slope", "kernel_id": "4431088"}, {"ref": "calemolech/mid-checkpoint-fastai-resnet50", "kernel_id": "4003682"}, {"ref": "arjunrao2000/resnet50-pretrained-keras", "kernel_id": "4128981"}, {"ref": "blondinka/predict-submit-seresnext101", "kernel_id": "4110218"}, {"ref": "buaazijian/tta-submit", "kernel_id": "4051914"}, {"ref": "tony92151/pytorch-seresnext101-32x4d-kfold-focal-loss-v3-0", "kernel_id": "4111778"}, {"ref": "maxlenormand/act-softmax-incresnetv2", "kernel_id": "4115924"}, {"ref": "maxlenormand/change-model-act-softmax-incresnetv2", "kernel_id": "4125246"}, {"ref": "saladjay/eda-imet", "kernel_id": "4093326"}, {"ref": "koushikcon/using-pytorch-and-vgg", "kernel_id": "4052579"}, {"ref": "yufeng8607/imet-baseline", "kernel_id": "4780532"}, {"ref": "pednoi/deep-learning-imet-collection-2019", "kernel_id": "5709166"}, {"ref": "goodyuyu/kernel188e34e372", "kernel_id": "6976265"}, {"ref": "shortcake7/kernel7a6785c220", "kernel_id": "6971801"}, {"ref": "shortcake7/kernel58f095413a", "kernel_id": "6998244"}, {"ref": "nitinguptadu0621/kernel1b7d80fe78", "kernel_id": "7728766"}, {"ref": "nctuvrdl/kernel32cac2a037", "kernel_id": "7022375"}, {"ref": "aetheraijimmy/kernel732407a477", "kernel_id": "7021894"}, {"ref": "jesucristo/imet2020-visualization", "kernel_id": "8617025"}, {"ref": "kirillvillachev/viz-resnet50", "kernel_id": "15132902"}, {"ref": "miguelsimoes35/vcom-cnn", "kernel_id": "17640604"}, {"ref": "bohanshi/keras-starter", "kernel_id": "29981583"}]}
{"competition_id": "13252", "kernels": []}
{"competition_id": "13255", "kernels": []}
{"competition_id": "13256", "kernels": []}
{"competition_id": "13257", "kernels": []}
{"competition_id": "13259", "kernels": []}
{"competition_id": "13261", "kernels": []}
{"competition_id": "13265", "kernels": []}
{"competition_id": "13269", "kernels": []}
{"competition_id": "13270", "kernels": []}
{"competition_id": "13275", "kernels": [{"ref": "shrut1996/2015a7ps0032g-dm1", "kernel_id": "3110419"}, {"ref": "f20150094/2015a7ts0094g", "kernel_id": "3164711"}, {"ref": "f20150031/2015a7ps0031g", "kernel_id": "3114352"}, {"ref": "ar0626/2016a7ps0675g", "kernel_id": "3167412"}, {"ref": "srikarreddym/2016a7ps0674g", "kernel_id": "3165583"}, {"ref": "adityalahiri/2016a7ps0062g", "kernel_id": "3162139"}, {"ref": "rishibm1310/2015b3a70544g", "kernel_id": "3166107"}, {"ref": "gchhablani/2016a7ps0022g", "kernel_id": "3162221"}, {"ref": "snnithya98/2016a7ps0670g", "kernel_id": "3162828"}, {"ref": "warlockz/2015b4a70481g", "kernel_id": "3164437"}, {"ref": "ishaan0041/2016a7ps0041g", "kernel_id": "3166037"}, {"ref": "akashv9712/2015b4a70706g", "kernel_id": "3165419"}, {"ref": "f20150469/2015b4a70469g", "kernel_id": "3165932"}, {"ref": "raghavgoyalrg/2015b3a70382g", "kernel_id": "3161788"}, {"ref": "priyanshu3112/2015b4a70379g", "kernel_id": "3163015"}, {"ref": "manishapatra/2016a7ps0672", "kernel_id": "3167608"}, {"ref": "f2015b3a70352g/2015b3a70352g", "kernel_id": "3163624"}, {"ref": "aaddt10/2015b3a70400g", "kernel_id": "3163200"}, {"ref": "f20150477/2015b3a70477g", "kernel_id": "3161989"}, {"ref": "f2015b3a70403g/2015b3a704030g", "kernel_id": "3164717"}, {"ref": "f20150159/2015b3a70159g", "kernel_id": "3162873"}, {"ref": "f20150626/2015b5a70626g", "kernel_id": "3164918"}, {"ref": "f20150348/2015b3a70348g-dm1", "kernel_id": "3676053"}, {"ref": "y15b3a70535g/2015b3a70535g-3", "kernel_id": "3166098"}, {"ref": "y15b3a70535g/2015b3a70535g-1", "kernel_id": "3165643"}, {"ref": "f20150650/2015b2a70650g", "kernel_id": "3159360"}, {"ref": "shreya333/2015b3a70546g", "kernel_id": "3166848"}, {"ref": "manusingh8/2015b4a70708g", "kernel_id": "3162586"}, {"ref": "anirudhmehra/2016a7ps0033g", "kernel_id": "3164234"}, {"ref": "rajasaurus/2016a7ps0045g", "kernel_id": "3165391"}, {"ref": "f20160080/2016a7ps0080g", "kernel_id": "3168423"}, {"ref": "sourabhbits/2015a7ps0078g", "kernel_id": "3164515"}, {"ref": "nayana147/2015b5a70600g", "kernel_id": "3162449"}, {"ref": "mukul0046/2016a7ps0046g", "kernel_id": "3163198"}, {"ref": "f20150395/2015b3a70395g", "kernel_id": "3163480"}, {"ref": "deveshpd18/2015a7ps0102g", "kernel_id": "3163055"}, {"ref": "hsandu/2016a7ps0668g", "kernel_id": "3165707"}, {"ref": "ishan0407/2016a7ps0066g-dm-1", "kernel_id": "3167604"}, {"ref": "pruthviduvva/2016a7ps0084g", "kernel_id": "3163529"}, {"ref": "kunalambardekar/2016a7ps0098g", "kernel_id": "3167413"}, {"ref": "f20150317/2015b4a70317g", "kernel_id": "3162032"}, {"ref": "jagsifat/2016a7ps0072g", "kernel_id": "3166240"}, {"ref": "satyajeetjena/2016a7ps0054g", "kernel_id": "3163001"}, {"ref": "ayushupadhyaya/2015a7ps0027g", "kernel_id": "3165826"}, {"ref": "erenkonta/dl-clustering-ile-veri-madencili-i", "kernel_id": "68894902"}]}
{"competition_id": "13276", "kernels": []}
{"competition_id": "13277", "kernels": [{"ref": "ambarish/icassava-2019-data-analysis-dropout-params", "kernel_id": "3816911"}, {"ref": "pmwaniki/using-pre-trained-models", "kernel_id": "3806685"}, {"ref": "emmarex/cassava-disease-classification-2", "kernel_id": "3813449"}, {"ref": "amrokamal/cassava-disease", "kernel_id": "3994016"}, {"ref": "ambarish/icassava-2019-cadene-models-2", "kernel_id": "4190302"}, {"ref": "ambarish/icassava-2019-cadene-models", "kernel_id": "4126468"}, {"ref": "ranjana1/cassava-disease-classify-mobilenetv2-with-imagenet", "kernel_id": "4095574"}, {"ref": "ranjana1/cassava-classification", "kernel_id": "4031125"}, {"ref": "davidrpugh/cassava-disease-classification", "kernel_id": "4628015"}, {"ref": "davidrpugh/cassava-disease-classification-with-pseudo-labels", "kernel_id": "4654395"}, {"ref": "fuxungao/cassava-disease-classification-baseline", "kernel_id": "4335106"}, {"ref": "makoike/cassava-classification-with-label-propagation", "kernel_id": "4089232"}, {"ref": "mubasharnazarawan/keras-cnn", "kernel_id": "4035080"}, {"ref": "davis123/kernel3993f9ee31", "kernel_id": "9530170"}, {"ref": "orthonormalize/200724-cassava-dla", "kernel_id": "10834749"}, {"ref": "ambarish/icassava-3", "kernel_id": "11646192"}, {"ref": "airborne4769/cassava-disease-classification-65-cnn-img-aug", "kernel_id": "12961507"}, {"ref": "kozodoi/merge-and-zip-2019-2020-data", "kernel_id": "13487512"}, {"ref": "keremt/cassava-eda-imagehash-cnn-dedup-old-and-new-data", "kernel_id": "13120476"}, {"ref": "wakamezake/cassava-inclass-eda", "kernel_id": "13034047"}, {"ref": "zzy990106/merge-images-in-two-competitions", "kernel_id": "13163199"}, {"ref": "zzy990106/duplicate-images-in-two-competitions", "kernel_id": "13126697"}, {"ref": "apoorvyadav/cassava-disease", "kernel_id": "13246627"}, {"ref": "iamprateek/darknet-opencv-cassava", "kernel_id": "14155840"}, {"ref": "imogenxingren/merge-images-std-mean", "kernel_id": "14670908"}, {"ref": "whitegg/icassava-2019-cadene-models", "kernel_id": "14558901"}, {"ref": "yardencohenbgu/almog", "kernel_id": "14858785"}, {"ref": "yardencohenbgu/yarden", "kernel_id": "14859158"}, {"ref": "yardencohenbgu/merged-almog-yarden", "kernel_id": "14859177"}, {"ref": "harshiniaiyyer/my-cassava-notebook", "kernel_id": "24855343"}, {"ref": "cbdsigmas/cassava-ver3-sub", "kernel_id": "106625498"}]}
{"competition_id": "13280", "kernels": []}
{"competition_id": "13284", "kernels": [{"ref": "jopepato/kernel-principal", "kernel_id": "3357978"}, {"ref": "pabloleo96/data-load-test", "kernel_id": "3188175"}]}
{"competition_id": "13287", "kernels": []}
{"competition_id": "13292", "kernels": [{"ref": "luckeciano/nn-with-tabular-data-baseline", "kernel_id": "3664070"}]}
{"competition_id": "13296", "kernels": [{"ref": "agungor2/baseline-methods-mesh-indexer", "kernel_id": "3188667"}]}
{"competition_id": "13307", "kernels": []}
{"competition_id": "13310", "kernels": []}
{"competition_id": "13319", "kernels": []}
{"competition_id": "13320", "kernels": []}
{"competition_id": "13322", "kernels": []}
{"competition_id": "13333", "kernels": [{"ref": "gauravtaneja/cloudsourcestarter", "kernel_id": "5846029"}, {"ref": "inversion/run-length-decoding-and-flower-submission", "kernel_id": "5319707"}, {"ref": "avinashrai/cloud-classifier-for-post-processing-inference", "kernel_id": "5920350"}, {"ref": "janlauge/cloud-eda-and-single-class-prediction-baseline", "kernel_id": "5806936"}, {"ref": "ekhtiar/eda-find-me-in-the-clouds", "kernel_id": "5374269"}, {"ref": "samusram/gradcam-extracting-masks-from-classifier", "kernel_id": "5752343"}, {"ref": "samusram/exploring-challenging-images", "kernel_id": "5783630"}, {"ref": "samusram/cloud-classifier-for-post-processing", "kernel_id": "5715541"}, {"ref": "aakashnain/too-lazy", "kernel_id": "5355694"}, {"ref": "saneryee/understanding-clouds-keras-unet", "kernel_id": "5414986"}, {"ref": "artgor/segmentation-in-pytorch-using-convenient-tools", "kernel_id": "5355006"}, {"ref": "guglielmocamporese/rle-functions-run-lenght-encode-decode", "kernel_id": "5828409"}, {"ref": "daasshukla/basic-exploratory-analysis", "kernel_id": "5921172"}, {"ref": "volody/demo-run", "kernel_id": "5649046"}, {"ref": "anubhav1302/simple-clouds-masking-unet", "kernel_id": "5858107"}, {"ref": "shahules/understanding-clounds-with-keras-unet", "kernel_id": "5364275"}, {"ref": "ryches/turbo-charging-andrew-s-pytorch", "kernel_id": "5581710"}, {"ref": "sumanthmeenan/clouds-from-satellites", "kernel_id": "5645795"}, {"ref": "dimitreoliveira/understanding-clouds-eda-and-keras-u-net", "kernel_id": "5374704"}, {"ref": "ateplyuk/satelite-easy-starter-keras", "kernel_id": "5412755"}, {"ref": "mrganger/clouds-a-topological-approach", "kernel_id": "5754471"}, {"ref": "ratthachat/cloud-convexhull-polygon-postprocessing-no-gpu", "kernel_id": "5902642"}, {"ref": "prazhant/an-exploratory-journey-into-the-clouds", "kernel_id": "5378460"}, {"ref": "thanatoz/basic-eda-of-satellite-clouds-dataset", "kernel_id": "5367910"}, {"ref": "aleksandradeis/understanding-clouds-eda", "kernel_id": "5734834"}, {"ref": "hung96ad/fine-turning-model-with-adabound", "kernel_id": "5589313"}, {"ref": "mukul1904/in-the-clouds-eda-and-first-submission", "kernel_id": "5487454"}, {"ref": "a573024071/efficient-net-b4-unet-clouds", "kernel_id": "5866089"}, {"ref": "mobassir/inceptionresnetv2-for-cloud-classifier", "kernel_id": "5738776"}, {"ref": "mobassir/keras-efficientnetb2-for-classifying-cloud", "kernel_id": "5862707"}, {"ref": "chandyalex/dump-cloud-simple-experiment", "kernel_id": "5398681"}, {"ref": "jrw2200/satellite-cloud-image-segmentation-with-fast-ai", "kernel_id": "5578437"}, {"ref": "pocketmad/u-net-model", "kernel_id": "5463971"}, {"ref": "dhananjay3/image-segmentation-from-scratch-in-pytorch", "kernel_id": "5901256"}, {"ref": "jmourad100/understanding-clouds-from-satellite-images", "kernel_id": "5357452"}, {"ref": "xhlulu/satellite-clouds-u-net-with-resnet-encoder", "kernel_id": "5361357"}, {"ref": "fmscole/convert-dataset-to-coco-format-tools", "kernel_id": "5861039"}, {"ref": "drobchak1988/understanding-cloudsf-rom-satellite-images", "kernel_id": "5980273"}, {"ref": "maxlenormand/basic-eda-successful-mask-plotting", "kernel_id": "5405610"}, {"ref": "kanchannannavare/understanding-clouds", "kernel_id": "5603517"}, {"ref": "martin1234567890/basic-mask-plotting", "kernel_id": "5745049"}, {"ref": "jpbremer/efficient-net-b4-unet-clouds", "kernel_id": "5815864"}, {"ref": "nandreyn/regiondecoding", "kernel_id": "5374023"}, {"ref": "frlemarchand/maskrcnn-for-cloud-classification-keras", "kernel_id": "5435522"}, {"ref": "leonshangguan/eda-cloud-data-analysis", "kernel_id": "5684347"}, {"ref": "alt250/multi-label-segmentation-using-fastai", "kernel_id": "5827476"}, {"ref": "manohar676/an-exploratory-journey-into-the-clouds", "kernel_id": "5568268"}, {"ref": "gogo827jz/resunet-keras-with-some-new-ideas", "kernel_id": "5644971"}, {"ref": "andreagarritano/simple-data-augmentation-with-imgaug", "kernel_id": "5902847"}, {"ref": "iamyoginth/understanding-clouds-from-satellite-images", "kernel_id": "5781646"}, {"ref": "alekseynp/strange-single-pixel-holes-in-masks", "kernel_id": "6448467"}, {"ref": "alekseynp/average-masks", "kernel_id": "6460579"}, {"ref": "datachampion/keras-efficientnetb4", "kernel_id": "6145495"}, {"ref": "sramirez/cloud-segmentation-with-fast-ai-post-processing", "kernel_id": "6488345"}, {"ref": "avinashrai/effnet-unet", "kernel_id": "6431955"}, {"ref": "michal20/rsna-train", "kernel_id": "6539858"}, {"ref": "wordsforthewise/understanding-clouds-eda", "kernel_id": "6366974"}, {"ref": "ekhtiar/tf-tutorial-semantic-segmentation-with-u-net", "kernel_id": "6037026"}, {"ref": "code1110/cloud-classifier-for-adversarial-validation", "kernel_id": "6392126"}, {"ref": "cnheider/mysubmission", "kernel_id": "6797714"}, {"ref": "jagannathrk/cloud-classifier-for-post-processing", "kernel_id": "6830010"}, {"ref": "artgor/classification-in-catalyst-with-utility-scripts", "kernel_id": "6076977"}, {"ref": "sankarshan7/cloud-detection-visualization-and-eda", "kernel_id": "6183328"}, {"ref": "axel81/clouds-segmentation-ensemble-voting-average", "kernel_id": "6619221"}, {"ref": "naivelamb/cloud-race", "kernel_id": "6437379"}, {"ref": "dimitreoliveira/cloud-segmentation-with-utility-scripts-and-keras", "kernel_id": "6096333"}, {"ref": "brandon0/cloud-segmentation", "kernel_id": "6707146"}, {"ref": "stephensisk/my-new-kernel-2", "kernel_id": "6061780"}, {"ref": "iru538/stratified-group-k-fold", "kernel_id": "6818855"}, {"ref": "bibek777/5fold-stratified-split", "kernel_id": "6396164"}, {"ref": "nikitagrec/nn-detection-architecture-with-pytorch", "kernel_id": "6338109"}, {"ref": "parmarsuraj99/fastai-unet", "kernel_id": "6382640"}, {"ref": "marcogorelli/submitting-chris-unsupervised-masks-cv-0-60", "kernel_id": "6646776"}, {"ref": "cdeotte/without-ensemble-lb-0-665", "kernel_id": "6632007"}, {"ref": "cdeotte/unsupervised-masks-cv-0-60", "kernel_id": "6519831"}, {"ref": "cdeotte/train-with-crops-lb-0-63", "kernel_id": "6446539"}, {"ref": "cdeotte/cloud-bounding-boxes-lb-0-61", "kernel_id": "6431477"}, {"ref": "phunghieu/cloud-mean-std-calculation", "kernel_id": "6537739"}, {"ref": "phunghieu/dataset-preparation-for-segmentation-task", "kernel_id": "6401457"}, {"ref": "phunghieu/dataset-preparation-resize-images", "kernel_id": "6530460"}, {"ref": "phunghieu/dataset-preparation-for-classification-task", "kernel_id": "6243446"}, {"ref": "snakayama/equalize-clouds-from-satellite-images", "kernel_id": "6457649"}, {"ref": "mobassir/deeplabv3-with-mobilenetv2", "kernel_id": "6426686"}, {"ref": "mobassir/mxnet-gluon-for-cloud-classification", "kernel_id": "6593210"}, {"ref": "christianwallenwein/open-masks-with-fast-ai", "kernel_id": "6348126"}, {"ref": "timetraveller98/creating-and-testing-fast-dataloaders", "kernel_id": "6201947"}, {"ref": "juliusgrassme/miniproject-cloud-type-segmentation-evaluation", "kernel_id": "6593850"}, {"ref": "juliusgrassme/datagen-cloud-segmentation", "kernel_id": "6572542"}, {"ref": "juliusgrassme/miniproject-cloud-type-segmentation-training", "kernel_id": "6437167"}, {"ref": "nitinpatel17hs/kernel39ab17c053", "kernel_id": "6371335"}, {"ref": "nemethpeti/ensemble", "kernel_id": "6636264"}, {"ref": "utsavpatel51/understanding-clouds-from-satellite-images", "kernel_id": "6575933"}, {"ref": "kenanajk/classifying-clouds-u-net-with-resnet-34-encoder", "kernel_id": "6607118"}, {"ref": "brijesh41/cloud-notebook-dl", "kernel_id": "6338895"}, {"ref": "mojinori/satellite-clouds", "kernel_id": "6572572"}, {"ref": "gogo827jz/blending-submissions-using-np-logical-or", "kernel_id": "6685432"}, {"ref": "profawx/cloudy-copy-bharath", "kernel_id": "6826143"}, {"ref": "l0new0lf/cloud-classification", "kernel_id": "6780714"}, {"ref": "adamg333/learning-computer-vision-with-clouds", "kernel_id": "6398514"}, {"ref": "khaledmgamal/keras-resnet-understanding-clouds", "kernel_id": "6479929"}, {"ref": "divyaph01/understanding-clouds-from-satellite-images", "kernel_id": "6488707"}, {"ref": "qkrwlsdn96/cloud-images-segmentation-utillity-script3", "kernel_id": "6636630"}, {"ref": "qkrwlsdn96/utilll", "kernel_id": "6636711"}, {"ref": "qkrwlsdn96/kernel4a2d06485a", "kernel_id": "6654012"}, {"ref": "laumonfe/cloud-classification", "kernel_id": "6217210"}, {"ref": "arorashu/understanding-cloud-data-and-format", "kernel_id": "6251790"}, {"ref": "kaivan29/understanding-clouds", "kernel_id": "6602079"}, {"ref": "kaivan29/maskrcnn-for-cloud-classification-keras", "kernel_id": "6640837"}, {"ref": "ayushyajnik/understanding-clouds-through-learning", "kernel_id": "6616719"}, {"ref": "chrps19/experimenting-with-u-net", "kernel_id": "6441975"}, {"ref": "aiiqams/fork-of-clouds-13", "kernel_id": "6506170"}, {"ref": "pateljaydutt/kernel22887d9322", "kernel_id": "6654446"}, {"ref": "vladvdv/efficientnet-clouds-segmentation-model-in-pytorch", "kernel_id": "6563092"}, {"ref": "lxheqiao/turbo-charging-andrew-s-pytorch", "kernel_id": "6962122"}, {"ref": "andersfrgemand/satellite-clouds-u-net-with-resnet-encoder-a-ver", "kernel_id": "6924457"}, {"ref": "vinayakasandilya/segmentation-using-fast-ai", "kernel_id": "6775764"}, {"ref": "carlosgomezcubero/exercise-3-part-1", "kernel_id": "6791070"}, {"ref": "cansleepless/keras-efficientnetb7", "kernel_id": "6796936"}, {"ref": "leslie633/turbo-charging-andrew-s-pytorch", "kernel_id": "7014081"}, {"ref": "archerwangjc/final-classification-code", "kernel_id": "7935867"}, {"ref": "carlosgomezcubero/ownunet", "kernel_id": "7022452"}, {"ref": "carlosgomezcubero/unet-final", "kernel_id": "7048217"}, {"ref": "carlosgomezcubero/unet-checking-hyper-paremeters-and-augemntation", "kernel_id": "7044300"}, {"ref": "laura93257/cloudy", "kernel_id": "7434897"}, {"ref": "keyurparalkar/understanding-cloud-segmentation-part-2", "kernel_id": "8407257"}, {"ref": "vhrbhakta/cs4662-project", "kernel_id": "8401143"}, {"ref": "aaa135/unet-clouds", "kernel_id": "8178073"}, {"ref": "bmfs22/tarefa-3-stefanini", "kernel_id": "8018236"}, {"ref": "nameno199/cloud-segmentation-with-keras-and-efficientnetb4", "kernel_id": "9226108"}, {"ref": "yyy135/cloud-classifier-for-post-processing", "kernel_id": "9608761"}, {"ref": "ruizeneko/eneko-tfg", "kernel_id": "11100234"}, {"ref": "logos78/clouds-segmentation", "kernel_id": "11839406"}, {"ref": "swagatambiswas/understanding-clouds-eda-prediction", "kernel_id": "12037396"}, {"ref": "danhieule/cloud", "kernel_id": "12330313"}, {"ref": "nobletp/segmentation-in-pytorch-using-convenient-tools", "kernel_id": "13745360"}, {"ref": "ludovicchangeon/mask-over-image", "kernel_id": "16923408"}, {"ref": "aayushkubba/maskrcnn-for-cloud-classification-keras", "kernel_id": "17133811"}, {"ref": "mmichelli/basic-setup-understanding-clouds-from-satellite", "kernel_id": "17849657"}, {"ref": "charlierc/segmentation-in-pytorch-using-convenient-tools", "kernel_id": "17343730"}, {"ref": "tsalama/notebookd63848a352", "kernel_id": "18001351"}, {"ref": "mansur2018020162/image-segmentation-from-scratch-in-pytorch", "kernel_id": "18374272"}, {"ref": "rujutavaidya/satelite-easy-starter-keras", "kernel_id": "20928019"}, {"ref": "rujutavaidya/understanding-cloudsf-rom-satellite-images", "kernel_id": "20985140"}, {"ref": "abdohendawy/understanding-clouds-from-satellite-images", "kernel_id": "20664734"}, {"ref": "abdohendawy/trial-1", "kernel_id": "20149910"}, {"ref": "abdohendawy/data-clouds", "kernel_id": "20130871"}, {"ref": "mlhacker1729/cloud-segmentation-in-pytorch-with-convenient-tool", "kernel_id": "21904614"}, {"ref": "amalrda/imagesegmentation", "kernel_id": "21247271"}, {"ref": "cinnamonpalette/notebookf75a957689", "kernel_id": "22493257"}, {"ref": "kurmapuhymavathi/understanding-clouds-from-satellite-images", "kernel_id": "24458964"}, {"ref": "malipeddihanisha/maskrcnn-for-cloud-classification-keras", "kernel_id": "24386271"}, {"ref": "tarasirosh/yolov4-for-cloud-classification", "kernel_id": "25313559"}, {"ref": "preethikorukuri/understanding-clouds-from-satellite-images", "kernel_id": "25064140"}, {"ref": "anirudh257/cloud-cover-classification-project", "kernel_id": "32923001"}, {"ref": "dipuk0506/background-image-data", "kernel_id": "33136514"}, {"ref": "snehasingh3013/celestial-biscuit", "kernel_id": "33545509"}, {"ref": "janajuro/understanding-clouds-from-satellite-images", "kernel_id": "33909813"}, {"ref": "ganeshbachu/train-images-denoise-speckle-0-1", "kernel_id": "37612639"}, {"ref": "otakukimo/transform", "kernel_id": "38630977"}, {"ref": "umgbhalla/notebookb35e46f232", "kernel_id": "38501088"}, {"ref": "umgbhalla/eda-utils-uco", "kernel_id": "38371024"}, {"ref": "abdullahsaihan/mesoscale-cloud-pattern-segmentation-tensorflow", "kernel_id": "39156829"}, {"ref": "abdullahsaihan/cloud-segmentation-visualization", "kernel_id": "40819467"}, {"ref": "maziwamala/segmentation-in-pytorch-using-convenient-tools", "kernel_id": "40599616"}, {"ref": "maziwamala/latest-version", "kernel_id": "40630225"}, {"ref": "abdullahsaihan/mesoscale-cloud-pattern-segmentation-pytorch", "kernel_id": "41903030"}, {"ref": "zeynepazl/understanding-clouds-eda", "kernel_id": "43618285"}, {"ref": "shimaazizi/understanding-clouds-from-satellite-images", "kernel_id": "45175082"}, {"ref": "kartikagarwala/notebook4433ed91bf", "kernel_id": "47370116"}, {"ref": "nipunrajput/notebook323cfb945dddc", "kernel_id": "47371426"}, {"ref": "solmazmohammadi/cloud-segmentation", "kernel_id": "51759155"}, {"ref": "nadeenhusseinmoh03/segmentation-in-pytorch-using-convenient-tools", "kernel_id": "60531214"}, {"ref": "dipuk0506/background-dataset-for-cifar-100", "kernel_id": "62737897"}, {"ref": "volkanastasia/understanding-clouds-creating-the-mask", "kernel_id": "65052630"}, {"ref": "zyh1104/020-understanding-clouds-from-satellite-images", "kernel_id": "71478354"}, {"ref": "utkuefeakdoan/intro-to-cloud-segmentation-full-notebook", "kernel_id": "71271741"}, {"ref": "chithongoc/unet-adtgsabd", "kernel_id": "74614002"}, {"ref": "nazishssss/deep-learning-base-model-cloud-classification", "kernel_id": "80997259"}, {"ref": "smrithibanala/cloud-segmentation", "kernel_id": "81518129"}, {"ref": "hanusharma/cloud-segmentation", "kernel_id": "86110003"}, {"ref": "xymdzh/resnet18-unet", "kernel_id": "118246011"}, {"ref": "vishnu537261/vigyaan", "kernel_id": "132224443"}]}
{"competition_id": "13334", "kernels": []}
{"competition_id": "13336", "kernels": [{"ref": "ipul23/default-kernel", "kernel_id": "3116680"}]}
{"competition_id": "13337", "kernels": [{"ref": "ipul23/default-kernel-2", "kernel_id": "3117101"}]}
{"competition_id": "13338", "kernels": [{"ref": "ipul23/default-kernel1", "kernel_id": "3117043"}, {"ref": "kenzilamberto/coba-coba", "kernel_id": "3117770"}]}
{"competition_id": "13339", "kernels": [{"ref": "dayou511/kerneldc149ad255", "kernel_id": "3633418"}, {"ref": "oliverfy/cnn-fer2013", "kernel_id": "7941269"}]}
{"competition_id": "13346", "kernels": []}
{"competition_id": "13351", "kernels": [{"ref": "dstomcray/classifica-o-de-documentos-com-doc2vec", "kernel_id": "3359090"}, {"ref": "bbose71/bbc-sample-solution-spring-intermediate-2019", "kernel_id": "3126488"}, {"ref": "reese51/bbc-news-classification-justin-pong", "kernel_id": "3278274"}, {"ref": "acredy16/bbc-news-classification-comp", "kernel_id": "3126637"}, {"ref": "rkrishnan917/bbc-classification", "kernel_id": "3278383"}, {"ref": "aryankaul31/aryan-bbc-news-classification", "kernel_id": "3199633"}, {"ref": "kiranshirish/bbc-classification-kiran-shirish", "kernel_id": "3126474"}, {"ref": "heyvivek/vivek-bbc-news-classification-not-started", "kernel_id": "3278289"}, {"ref": "visheshkg/vishesh-bbc-classification", "kernel_id": "3126483"}, {"ref": "saty101/collab-kernel4", "kernel_id": "10265564"}, {"ref": "saty101/collab-kernel5", "kernel_id": "10273608"}, {"ref": "dorakaalba/aryan-bbc-news-classification", "kernel_id": "16869547"}, {"ref": "shenurisumanasekara/bbc-news-classification", "kernel_id": "20190143"}, {"ref": "cshreya87/bbctextclassifier", "kernel_id": "20866023"}, {"ref": "abhishek/autonlp-bbc-news-classification", "kernel_id": "22433502"}, {"ref": "ahmedabdulhamid/bbc-sentimentclassification-ml-bert", "kernel_id": "23843982"}, {"ref": "akashbangalkar3/bbc-news-classification", "kernel_id": "23586095"}, {"ref": "pallavrajsahoo/bbc-news-classification", "kernel_id": "25717236"}, {"ref": "eiue6866/nmf-tutorials", "kernel_id": "26488358"}, {"ref": "mohamedbakrey/make-a-classification-for-bbc-news-by-lstm", "kernel_id": "28364129"}, {"ref": "mattison/unsupervised-matrix-factorization", "kernel_id": "28175700"}, {"ref": "dipakvmurkute/bbc-news-classification", "kernel_id": "28358511"}, {"ref": "frugalister/unsupervised-matrix-factorization", "kernel_id": "29846210"}, {"ref": "jaimegarbanzo/unsupervised-tf-idf-approach-bbc-news-class", "kernel_id": "29223570"}, {"ref": "taylorpr/week-4-matrix-factorization", "kernel_id": "29370451"}, {"ref": "mikeliux/nmf-topic-detection-on-bbc-news-97-accuracy", "kernel_id": "30761200"}, {"ref": "joehardin369/bbc-news-articles-classification", "kernel_id": "31565024"}, {"ref": "vinothmdev/notebook314889d38f", "kernel_id": "32280610"}, {"ref": "shaochiehlin/bbc-text-classification", "kernel_id": "33934014"}, {"ref": "akitsuyoshi/text-classification-in-supervised-and-unsupervised", "kernel_id": "36414275"}, {"ref": "robinlutter/bbc-news-classification-nmf-vs-supervised", "kernel_id": "39096414"}, {"ref": "mrinaljaiswal/bbc-news-classification", "kernel_id": "39441855"}, {"ref": "dyogaharshitha/news-classification", "kernel_id": "39570486"}, {"ref": "scrambledgabs/bbc-article-classification", "kernel_id": "39881784"}, {"ref": "conradkleykamp/bbc-news-classification", "kernel_id": "40202763"}, {"ref": "kennethmccarthy/unsupervised-bbc-news-classification", "kernel_id": "40133109"}, {"ref": "talhaasghar/c3w2-bbc-news-classification", "kernel_id": "41511506"}, {"ref": "mazovi/bbc-news-classification", "kernel_id": "42278379"}, {"ref": "willianpina/bbc-news-classification-project-cu-boulder-msds", "kernel_id": "43276258"}, {"ref": "leonidemelyanenko/news-classification", "kernel_id": "43717091"}, {"ref": "lianpeng86/unsupervised-learning-project-nmf-vs-kmeans-vs-rf", "kernel_id": "43292395"}, {"ref": "v3rteego/bbc-svm", "kernel_id": "44805926"}, {"ref": "ujjwalkar/use-ml-algos-for-natural-language-classifications", "kernel_id": "44179541"}, {"ref": "venkatabotta/bbc-news-classification", "kernel_id": "44893532"}, {"ref": "jaymanvirk/matrix-factorization-nmf-vs-supervised-learning", "kernel_id": "44082908"}, {"ref": "jorgetaucare/nmf-vs-supervised", "kernel_id": "44436945"}, {"ref": "sethegolfcu/notebook3408591d09", "kernel_id": "44618922"}, {"ref": "grapeseed/nmf-vs-supervised-models", "kernel_id": "45643539"}, {"ref": "sgjustino/bbc-news-classification", "kernel_id": "45257948"}, {"ref": "toddgardiner/bbc-topic-modeling-nmf-vs-kmeans-vs-rf-vs-ktrain", "kernel_id": "46019433"}, {"ref": "asthasinha56/bbc-news-classification", "kernel_id": "46568567"}, {"ref": "jieshends2020/matrix-factorization-97-acc-with-1-labels", "kernel_id": "49120996"}, {"ref": "cjtayl31772/mini-project-part-1", "kernel_id": "49993475"}, {"ref": "wellyw/unsupervised-and-supervised-classification", "kernel_id": "50265270"}, {"ref": "myselfsrikantht/bbc-news-classification-using-dke", "kernel_id": "52831962"}, {"ref": "hishamsharaf/sequential-model-for-bbc-news", "kernel_id": "53878839"}, {"ref": "edifonjimmy/bbc-news-classification-xgboost-lstm-bert", "kernel_id": "62463965"}, {"ref": "dazhengzhu/bbc-news-classification", "kernel_id": "62645876"}, {"ref": "kikugo/bbc-news-classification", "kernel_id": "64355591"}, {"ref": "yu1111/tfidf-and-nmf-news-classification", "kernel_id": "65039225"}, {"ref": "asserhassan/bbc-news-classification", "kernel_id": "65903757"}, {"ref": "gbangban/notebook0fe47c8504", "kernel_id": "71181144"}, {"ref": "leonidbabich/text-classification-nmf-vs-logistic-regression", "kernel_id": "71200897"}, {"ref": "kyleakepanidtaworn/dtsa-5510-bbc-news-classification", "kernel_id": "71705784"}, {"ref": "ksmooi/text-classification-multi-models", "kernel_id": "71121505"}, {"ref": "syednaqiabbas/text-classification-multi-models", "kernel_id": "71186925"}, {"ref": "jinghuawu/bbc-news-classification", "kernel_id": "72934296"}, {"ref": "vikkach/matrix-factorization-or-svc-news-classification", "kernel_id": "74600458"}, {"ref": "dorisqzchen/news-classification-svc-98-5-nmf-97-3-acc", "kernel_id": "75374674"}, {"ref": "erikanderson1/bbc-news-classification-using-matrix-factorization", "kernel_id": "76534100"}, {"ref": "ivandavidruizangel/ivandruiza-bbc-news-clasifier", "kernel_id": "76991899"}, {"ref": "thareeshprabakaran/bbc-news-classification-with-bert", "kernel_id": "76955275"}, {"ref": "ibrahimnibrahim/bbc-classification-tensorflow-with-96-score", "kernel_id": "77953551"}, {"ref": "carlosmatherson/bbc-news-classification-truncated-svd-vs-rf", "kernel_id": "78539291"}, {"ref": "jonchernoch/text-classification-with-nmf-96-1-and-svc-98-6", "kernel_id": "80992549"}, {"ref": "sushmachilakala/bbc-news-classification-with-matrix-factorization", "kernel_id": "80934425"}, {"ref": "alexandermaitken/week-4-part-1-bbc-news-classification", "kernel_id": "81353841"}, {"ref": "lukas2010/weke-4-ms-cs-unsupervised-learning", "kernel_id": "82864999"}, {"ref": "davidlord123/bbc-news-classification", "kernel_id": "84736233"}, {"ref": "devmarkpro/bbc-news-classification-cuboulder", "kernel_id": "86690017"}, {"ref": "jamesfroggatt/bbc-news-classification-with-nmf", "kernel_id": "88319415"}, {"ref": "tinatally/bbc-news-classification", "kernel_id": "89777353"}, {"ref": "farzat/bbc-news-classification-kaggle-mini-project", "kernel_id": "90593896"}, {"ref": "alfogtz95/bbc-news-classification-exercise", "kernel_id": "90831896"}, {"ref": "sivanarutselvi/matrix-factorization", "kernel_id": "91350635"}, {"ref": "desireedisco/bbc-category-project-wk4", "kernel_id": "92408170"}, {"ref": "khalidsyed/news-category-classification", "kernel_id": "93462568"}, {"ref": "petarivacic/unsupervised-bbc-news-classification", "kernel_id": "93945100"}, {"ref": "alonsofreire/notebook7d18ecad6c", "kernel_id": "103913693"}, {"ref": "nicolemusara/bbc-news-3-class-text-classification-model", "kernel_id": "106059894"}, {"ref": "alexandermeau/bbc-news-classification", "kernel_id": "109438201"}, {"ref": "ujjwalkar/distilbert-news-article-classification", "kernel_id": "109322810"}, {"ref": "ujjwalkar/lstm-news-article-classification", "kernel_id": "109332787"}, {"ref": "phnguyencs/bbc-news-v1", "kernel_id": "126096429"}, {"ref": "shadab80k/retrieval-augmented-generation-rag-chatbot", "kernel_id": "130051520"}, {"ref": "ahmedmustafax/ahmed-s-news-classification-using-naive-bayes", "kernel_id": "134452964"}]}
{"competition_id": "13353", "kernels": []}
{"competition_id": "13357", "kernels": []}
{"competition_id": "13362", "kernels": [{"ref": "fermion/select-urls-by-keywords", "kernel_id": "3135733"}]}
{"competition_id": "13363", "kernels": []}
{"competition_id": "13375", "kernels": []}
{"competition_id": "13383", "kernels": []}
{"competition_id": "13384", "kernels": []}
{"competition_id": "13399", "kernels": []}
{"competition_id": "13406", "kernels": []}
{"competition_id": "13407", "kernels": []}
{"competition_id": "13432", "kernels": []}
{"competition_id": "13434", "kernels": []}
{"competition_id": "13435", "kernels": [{"ref": "navneeth/feedforward-cnn-fastai", "kernel_id": "3553846"}, {"ref": "vladminzatu/cactus-detection-with-tensorflow-2-0", "kernel_id": "3437580"}, {"ref": "lukaszkoziol/kernelfe9a0d1342", "kernel_id": "3624425"}, {"ref": "swapnilpote/aerial-cactus-identification", "kernel_id": "3632482"}, {"ref": "cheyuriy/yet-another-keras-example-densenet", "kernel_id": "3617730"}, {"ref": "alainminda/kernelf9581109fe", "kernel_id": "3821266"}, {"ref": "pippop/sub-pippo-1", "kernel_id": "3604671"}, {"ref": "gabrielfior/simple-fast-ai-v3-kernel", "kernel_id": "3967219"}, {"ref": "mariammohamed/simple-cnn", "kernel_id": "3264640"}, {"ref": "mariammohamed/simple-ensemble", "kernel_id": "3331670"}, {"ref": "ivanwang2016/baseline", "kernel_id": "3250549"}, {"ref": "tomtum/computational-impact-of-various-models", "kernel_id": "3199625"}, {"ref": "rolandkopka/aerial-cactus-identification", "kernel_id": "3786377"}, {"ref": "muhammedfathi/aerial-cactus-with-keras", "kernel_id": "3275412"}, {"ref": "ratnesh88/predict-presence-of-cactus", "kernel_id": "3599227"}, {"ref": "mnk812/aerial-keras-baseline", "kernel_id": "3365391"}, {"ref": "artgor/cactalyst", "kernel_id": "3461932"}, {"ref": "artgor/detecting-cactus-with-kekas", "kernel_id": "3190861"}, {"ref": "aminta/areial-cactus-tensoflow-cs230-stanford-method", "kernel_id": "3643890"}, {"ref": "labcoat/kernel4e7436a182", "kernel_id": "3469285"}, {"ref": "spsayakpaul/aerial-cactus-identification-using-fastai", "kernel_id": "3800912"}, {"ref": "aakaashjois/has-cactus-with-fastai", "kernel_id": "3646674"}, {"ref": "muhamamdasim/cactusnet-in-tensorflow-with-augmentor", "kernel_id": "3438952"}, {"ref": "govoruha/cnn-with-r", "kernel_id": "3813382"}, {"ref": "shahules/getting-started-with-cnn-and-vgg16", "kernel_id": "3578171"}, {"ref": "rnepal2/aerial-cactus-identification", "kernel_id": "3849764"}, {"ref": "autuanliuyc/aerial-cactus-identification", "kernel_id": "3691490"}, {"ref": "swwintels/aerial-cactus-identification-with-resnet50", "kernel_id": "3228641"}, {"ref": "abhijit96/detect-cactus-keras", "kernel_id": "3319541"}, {"ref": "nathanh12/fastai-1-0lb-300s", "kernel_id": "3373429"}, {"ref": "zhengze94/multiple-instance-learning-as-pooling-layer-in-cnn", "kernel_id": "3672389"}, {"ref": "alperkoc/cactus-identification-with-lgbm", "kernel_id": "3263937"}, {"ref": "alperkoc/data-augmentation-with-gan", "kernel_id": "3344253"}, {"ref": "alperkoc/data-augmentation-vgg16-cnn", "kernel_id": "3330515"}, {"ref": "prateek28/kernelf43ed5ff90", "kernel_id": "3552560"}, {"ref": "pdx250697/my-cnn-submisison", "kernel_id": "3986787"}, {"ref": "pdx250697/simple-cnn-with-keras", "kernel_id": "3985517"}, {"ref": "pdx250697/corrected-cnn", "kernel_id": "3999682"}, {"ref": "parikshit14074/linear-svm", "kernel_id": "3504588"}, {"ref": "rohandx1996/pca-mlp-vs-pca-cnn-focal-loss-resnet50-vs-vgg16", "kernel_id": "3281556"}, {"ref": "khursani8/fastai-effnetb3", "kernel_id": "3445752"}, {"ref": "ateplyuk/keras-transfer-densenet121", "kernel_id": "3190139"}, {"ref": "ateplyuk/keras-transfer-vgg16", "kernel_id": "3189424"}, {"ref": "yashkumaratri/kernel7ad29c0e12", "kernel_id": "3381558"}, {"ref": "kurianbenoy/solving-aerial-cactus-challenge-using-fast-ai", "kernel_id": "3601634"}, {"ref": "mohanamurali/fast-ai", "kernel_id": "3222673"}, {"ref": "toobadimnotgood/cactus-identification-cnn", "kernel_id": "3590261"}, {"ref": "tarunpaparaju/cactus-identifier-vgg16-imgdatagen", "kernel_id": "3203266"}, {"ref": "ananthu017/columnar-cactus-identification", "kernel_id": "3240160"}, {"ref": "grecs2001/cactus-identification-keras-cnn", "kernel_id": "3810767"}, {"ref": "sujoykg/keras-cnn-with-grayscale-images", "kernel_id": "3283695"}, {"ref": "chitra14/simple-cnn-implementation-fit-generator", "kernel_id": "3849216"}, {"ref": "anndd3/ariel-cactus", "kernel_id": "3709172"}, {"ref": "gaurav2796/detailed-approach-with-fastai", "kernel_id": "3931478"}, {"ref": "souvikchanda/aerial-cactus-identification-using-fastai", "kernel_id": "3487499"}, {"ref": "iavinas/simple-fastai-aerial-cactus-identification", "kernel_id": "3861382"}, {"ref": "abhigupta4981/just-a-random-fast-ai-notebook-flying-by", "kernel_id": "3224012"}, {"ref": "adityajn105/aerial-cactus-identification-0-9989-lb", "kernel_id": "3890495"}, {"ref": "mnpinto/cactus-identification-fastai-v1-0-46-ensemble", "kernel_id": "3189572"}, {"ref": "atrisaxena/pytorch-simple-model-iscactus-classification", "kernel_id": "3872741"}, {"ref": "parmarsuraj99/cnn-pytorch", "kernel_id": "3652105"}, {"ref": "gauravadhikari/playing-with-the-cactus-dataset", "kernel_id": "3368472"}, {"ref": "anuragshas/densenet-fastai", "kernel_id": "3302556"}, {"ref": "luisda2994/densenet169-transfer-learning", "kernel_id": "3867612"}, {"ref": "vvijaybabu/2-class-classification-resnet-18-kernel", "kernel_id": "3819362"}, {"ref": "danielmakc/cactus", "kernel_id": "3935716"}, {"ref": "rabbitmai87/cnn-model-on-cactus-detections", "kernel_id": "3876224"}, {"ref": "yanggu/cactus-identification-fastai-v1-0-46-baseline", "kernel_id": "3190088"}, {"ref": "aniruddhas435/kernel17f23aed87", "kernel_id": "3485658"}, {"ref": "aniruddhas435/fastai-densenet161", "kernel_id": "3990638"}, {"ref": "harshel7/cactus-identification-ensemble-transfer-learning", "kernel_id": "3192498"}, {"ref": "nelsongriffiths/mish-activation-and-transfer-learning-pytorch", "kernel_id": "3267155"}, {"ref": "narendrashu/cactus-identification-fastai", "kernel_id": "3611654"}, {"ref": "njelicic/resnet-transfer-learning", "kernel_id": "3235970"}, {"ref": "vovaekb90/aerial-cactus-simple-vgg-like-cnn", "kernel_id": "3209761"}, {"ref": "ayush9398/aerial-cactus", "kernel_id": "3868073"}, {"ref": "interneuron/fast-fastai-with-condensenet", "kernel_id": "3370001"}, {"ref": "divyam17/aerial-cactus-detection-using-cnns", "kernel_id": "3950731"}, {"ref": "vermaavi/aerial-cactus-identification", "kernel_id": "3534898"}, {"ref": "vermaavi/aerial-cactus-idf-trfr-lrng", "kernel_id": "3608223"}, {"ref": "emand2pac/simple-cnn-pytorch-for-beginner", "kernel_id": "3453685"}, {"ref": "zhuhai/imagegenerator", "kernel_id": "3503175"}, {"ref": "zhuhai/vgg19-imagegenerator", "kernel_id": "3503299"}, {"ref": "zhuhai/resnet-imagegenerator", "kernel_id": "3503862"}, {"ref": "rivesunder/headless-densenet-with-keras", "kernel_id": "3798600"}, {"ref": "anirudhchak/cnn-using-keras", "kernel_id": "3938929"}, {"ref": "twhitehurst3/aerial-cactus-identification-keras-cnn-comp", "kernel_id": "3441173"}, {"ref": "debanjan02/kernela1d744c1c6", "kernel_id": "3438280"}, {"ref": "abhaysidhwani/kernelda16ec6028", "kernel_id": "3617831"}, {"ref": "jacky5112/aerial-cactus-identification-v1", "kernel_id": "3267749"}, {"ref": "adityagarimella/aerial-cactus-identification-using-keras-cnn", "kernel_id": "3957153"}, {"ref": "cikbok/first-try-cnn", "kernel_id": "3628406"}, {"ref": "yeboda96/codehygy", "kernel_id": "3573775"}, {"ref": "gbellport/pre-trained-densenet", "kernel_id": "3529314"}, {"ref": "williampoch42/test1", "kernel_id": "3830762"}, {"ref": "patsap8/cactus-identification-with-lgbm", "kernel_id": "3651008"}, {"ref": "campcmp/simple-solution", "kernel_id": "3830251"}, {"ref": "dcahn12/cuctus-kaggle", "kernel_id": "3765191"}, {"ref": "jonmacpherson/cactus-jack-binary-classifier-with-keras", "kernel_id": "3223994"}, {"ref": "elvinmirze/simple-deep-cnn-different-batch-size-and-epochs", "kernel_id": "3262419"}, {"ref": "elvinmirze/fork-of-simple-deep-cnn-different-batch-size-and-e", "kernel_id": "3376183"}, {"ref": "umangjpatel/aerial-cactus-cnn", "kernel_id": "3973533"}, {"ref": "samarthsarin/simple-cnn-in-keras-from-scratch", "kernel_id": "3885966"}, {"ref": "yizhezx/aerial-cactus", "kernel_id": "3330460"}, {"ref": "bachrr/cactus-identification-with-fastai-resnet-34", "kernel_id": "3273853"}, {"ref": "yinghaoli/kerneldb1aac1886", "kernel_id": "3285015"}, {"ref": "mohammedsunasra/cactus-pytorch-no-cv", "kernel_id": "3472548"}, {"ref": "commandercool/cactus-identify", "kernel_id": "3792211"}, {"ref": "iambadcoder/aerial-cactus-recognition", "kernel_id": "3559023"}, {"ref": "vimlord/cnn-cactus-classifier-c3", "kernel_id": "3468349"}, {"ref": "thorgas1988/ensemble-of-3-fastai-models", "kernel_id": "3235867"}, {"ref": "ayang98/cacti-yeet", "kernel_id": "3828859"}, {"ref": "andreiv4/cnn-cells-image-classification-32x32x3", "kernel_id": "3255751"}, {"ref": "ganweifa123/simple-fastai-exercise-6500ee", "kernel_id": "3905669"}, {"ref": "yeekit24/detecting-cactus-with-kekas", "kernel_id": "3395207"}, {"ref": "leedaydayup/kernela2655957a4", "kernel_id": "3525985"}, {"ref": "corymaklin/kernel6dd549dab1", "kernel_id": "3951731"}, {"ref": "jiajunc/aerial-cactus-identification-v12", "kernel_id": "3269529"}, {"ref": "jiajunc/aerial-cactus-identification-pytorch", "kernel_id": "3239101"}, {"ref": "qq1065507891/prediction-with-keras-vgg16", "kernel_id": "3566763"}, {"ref": "ralhadeff/keras-cnn-cactus-identification", "kernel_id": "3618182"}, {"ref": "thepaperfish/a-simple-load-n-run", "kernel_id": "3481398"}, {"ref": "cibi075/kernel-cb-i", "kernel_id": "3614756"}, {"ref": "khiwila/kernel9871eaa9f8", "kernel_id": "3684914"}, {"ref": "marinan67/kernel-vgg", "kernel_id": "3354072"}, {"ref": "bonhart/simple-cnn-on-pytorch-for-beginers", "kernel_id": "3253921"}, {"ref": "elvares/first-kernel", "kernel_id": "3458063"}, {"ref": "yukiuto/kernel7943a3cba0", "kernel_id": "3560625"}, {"ref": "iluvmahheart/simple-beginner-cactus-identification", "kernel_id": "3809084"}, {"ref": "iluvmahheart/simple-beginner-digit-recognisation", "kernel_id": "3934610"}, {"ref": "sdoctor86/simple-keras-cnn", "kernel_id": "3801445"}, {"ref": "sdoctor86/fast-ai-densenet", "kernel_id": "3815027"}, {"ref": "navinrow/final-project", "kernel_id": "3818383"}, {"ref": "masonblier/aerial-cactus-simple-cnn", "kernel_id": "3202295"}, {"ref": "hnt4499/data-augmentation-model-benchmark", "kernel_id": "3337789"}, {"ref": "koushikcon/using-pytorch", "kernel_id": "3987704"}, {"ref": "huang27c/final-project", "kernel_id": "3620730"}, {"ref": "kenseitrg/simple-fastai-exercise", "kernel_id": "3189811"}, {"ref": "frlemarchand/simple-cnn-using-keras", "kernel_id": "3695994"}, {"ref": "shotaho/kernel4265908402", "kernel_id": "3501002"}, {"ref": "shivam2811/aerial-cactus-identification-98-63", "kernel_id": "3748408"}, {"ref": "asura93/simple-cnn-keras", "kernel_id": "3385601"}, {"ref": "asura93/simple-fastai-exercise", "kernel_id": "3456626"}, {"ref": "arcticmarmot/using-vgg16", "kernel_id": "3973066"}, {"ref": "amanooo/step-ttaining-of-vgg16", "kernel_id": "3780517"}, {"ref": "gabrielmv/aerial-cactus-identification-keras", "kernel_id": "3527682"}, {"ref": "dequanzhu/kernel7011e5647f", "kernel_id": "3455550"}, {"ref": "dequanzhu/kernel4ea5bece05", "kernel_id": "3450745"}, {"ref": "ahmeddarwish/aerial-cactus-identification-simple-model", "kernel_id": "3951399"}, {"ref": "nathanielbo/cactus-identification", "kernel_id": "3816514"}, {"ref": "benjaminwarner/aerial-cactus-prediction-using-fast-ai-resnet-34", "kernel_id": "3816111"}, {"ref": "petersonkt23/fastai-densetnet", "kernel_id": "3594030"}, {"ref": "walus17/kernelffd4c225aa", "kernel_id": "3963992"}, {"ref": "visor123/aerial-cactus-identification-cnn-keras", "kernel_id": "3893274"}, {"ref": "ramkripal/cactus-classification-with-fastai", "kernel_id": "3964497"}, {"ref": "anilcr/simple-cnn-augmentation", "kernel_id": "4079813"}, {"ref": "aninda/cactus-fastai", "kernel_id": "4798037"}, {"ref": "priteshshrivastava/cactus-identification-using-cnn-resnet34", "kernel_id": "4306469"}, {"ref": "kirankunapuli/fastai-efficientnet-b3", "kernel_id": "4336099"}, {"ref": "djonafegnem/gpu-friendly-training", "kernel_id": "4482801"}, {"ref": "aayush26/getting-started-fast-ai-transferlearning-resnet18", "kernel_id": "4569147"}, {"ref": "tataganesh/cactus-classification-vanilla-tensorflow", "kernel_id": "4047575"}, {"ref": "rbales/cactus-detection-fastai", "kernel_id": "4079168"}, {"ref": "hutmacher303/convnet-without-pretrained-network", "kernel_id": "4142204"}, {"ref": "hyacinth/model2-vgg", "kernel_id": "4794612"}, {"ref": "prabanch/aerial-cactus-identification-using-cnn", "kernel_id": "4295715"}, {"ref": "pieterblomme/cactus-v2", "kernel_id": "4119033"}, {"ref": "bhabani2077/aerial-cactus-tensorflow-keras", "kernel_id": "4244177"}, {"ref": "vijayabhaskar96/aerial-cactus-with-transfer-learning", "kernel_id": "4156059"}, {"ref": "sandeepkumar121995/fastai-densenet161-roc-1-00", "kernel_id": "4169800"}, {"ref": "shrutimechlearn/learn-fast-ai-from-zero", "kernel_id": "4366989"}, {"ref": "jabertuhin/aerial-cactus-identification-with-pytorch", "kernel_id": "4516817"}, {"ref": "bharat2905/simple-keras-cnn", "kernel_id": "4710757"}, {"ref": "etozhepivka/kernel6b06ead420", "kernel_id": "4797815"}, {"ref": "piyush28/first-rodeo-with-fastai", "kernel_id": "4545209"}, {"ref": "kocayinana/cactus-id-with-resnet-and-two-plain-cnn", "kernel_id": "4484386"}, {"ref": "akhileshk1/fastai-vision", "kernel_id": "4721251"}, {"ref": "akhileshk1/aercactus", "kernel_id": "4045087"}, {"ref": "ankschoubey/fastai-resnet50", "kernel_id": "4395602"}, {"ref": "muhamamdasim/fed-up-with-model-tuning-autokeras-to-the-rescue", "kernel_id": "4639654"}, {"ref": "akashdeepjassal/solving-aerial-cactus-challenge-using-fast-ai", "kernel_id": "4108379"}, {"ref": "sflamel/starter-pytorch", "kernel_id": "4841435"}, {"ref": "nazmulshuvo03/aerial-cactus-identification", "kernel_id": "4649023"}, {"ref": "adkarhe/cactus-identification", "kernel_id": "4425898"}, {"ref": "pheaboo/simple-cnn-trained-from-scratch", "kernel_id": "4626339"}, {"ref": "sarzhan/cactus-pytorch-implementation", "kernel_id": "4673345"}, {"ref": "rhodiumbeng/aerial-cactus-identification-using-cnn", "kernel_id": "4241566"}, {"ref": "dgoldman/practice-densenet", "kernel_id": "4073807"}, {"ref": "andyandy/cactus-classifier", "kernel_id": "4749999"}, {"ref": "aanubhav/cactus-data-analysis", "kernel_id": "4721881"}, {"ref": "kenho211/kactus", "kernel_id": "4525141"}, {"ref": "elgatodelbosque/aerial-cactus-keras", "kernel_id": "4576916"}, {"ref": "elgatodelbosque/aerial-cactus-svm-sklearn", "kernel_id": "4193484"}, {"ref": "ateplyuk/pytorch-efficientnet", "kernel_id": "4315344"}, {"ref": "ateplyuk/starter-pytorch", "kernel_id": "4291439"}, {"ref": "ateplyuk/keras-starter-efficientnet", "kernel_id": "4110329"}, {"ref": "rhtsingh/fast-ai-cactus-identification-100", "kernel_id": "4290402"}, {"ref": "neeraj17/fastai-cactus", "kernel_id": "4615958"}, {"ref": "ytzmlll/cactus", "kernel_id": "4894536"}, {"ref": "geoffreygeo/aerial-cactus-identification", "kernel_id": "4396927"}, {"ref": "snehashis1997/aerial-cactus-custom", "kernel_id": "4695411"}, {"ref": "rahool214/aerial-cactus-identification-keras-3c3d", "kernel_id": "4031204"}, {"ref": "vpkprasanna/aerial-cactus-identification", "kernel_id": "4059711"}, {"ref": "kalikichandu/cactus-identification-fastai", "kernel_id": "4573305"}, {"ref": "kalikichandu/aerial-cactus-identification", "kernel_id": "4252989"}, {"ref": "thanatoz/aerial-cactus-perfection-with-fastai", "kernel_id": "4341133"}, {"ref": "ajitesh0202/aerial-cactus-identification", "kernel_id": "4850468"}, {"ref": "tenffe/baseline-cactus-detection", "kernel_id": "4013407"}, {"ref": "aleksandradeis/arial-cactus-identification-with-pytorch-and-vgg16", "kernel_id": "4146830"}, {"ref": "visali/cactus-classification-using-fastai", "kernel_id": "4607861"}, {"ref": "ianthaml/aerial-cactus-classification-using-pytorch", "kernel_id": "4432037"}, {"ref": "mlneo07/keras-cnn", "kernel_id": "4272088"}, {"ref": "ratan123/in-depth-guide-to-different-cnn-architectures", "kernel_id": "4607885"}, {"ref": "anshuljdhingra/aerial-cactus-identification", "kernel_id": "4726613"}, {"ref": "barbetpsg/convnet-with-lr-reduction", "kernel_id": "4512708"}, {"ref": "siddheshsathe/aerial-cactus-identification-using-vgg16", "kernel_id": "4177677"}, {"ref": "kabilan45/aerial-cactus-classification", "kernel_id": "4335164"}, {"ref": "shwetagoyal4/identification-of-cactus-keras-vgg16", "kernel_id": "4712426"}, {"ref": "jessicasalazar/kernel-para-identificar-cactus-con-machinelearning", "kernel_id": "4215373"}, {"ref": "kakooyang/kerneld87ba2b3f5", "kernel_id": "4666566"}, {"ref": "arjunrao2000/beginners-guide-efficientnet-with-keras", "kernel_id": "4172324"}, {"ref": "mkl62unh/keras-classifier-for-32x32-grayscale-images", "kernel_id": "4202027"}, {"ref": "ahkhalwai55/simple-fastai-exercise-densenet201", "kernel_id": "4721961"}, {"ref": "mohabdiab/aeriel-cactus", "kernel_id": "4388600"}, {"ref": "divyanshshekhar/aerial-cactus-identification-by-cnn-tensorflow", "kernel_id": "4085137"}, {"ref": "truematrix/true-kernel-aci", "kernel_id": "4557360"}, {"ref": "snaily16/cactus-identification-keras", "kernel_id": "4043095"}, {"ref": "christianwallenwein/fastai-baseline-model-aerial-cactus", "kernel_id": "4245712"}, {"ref": "googlemkunthe/predicting-presence-of-cactus-using-adam-optimizer", "kernel_id": "4710292"}, {"ref": "kesha18/cactus-classification-keras", "kernel_id": "4543493"}, {"ref": "apresswala52/aerial-cactus-identification", "kernel_id": "4698755"}, {"ref": "maliabbas/pretrainedresnet101fastai", "kernel_id": "4355034"}, {"ref": "akseersafdar/aerial-cactus-challenge", "kernel_id": "4745158"}, {"ref": "princetyagi193/cactus-recognition-cnn-with-keras", "kernel_id": "4382992"}, {"ref": "jaquelineduarte/kernel-mobilenetv2-mandacaru-2", "kernel_id": "4561186"}, {"ref": "jaquelineduarte/kernel-mobilenetv2-mandacaru-2f", "kernel_id": "4567731"}, {"ref": "aditya100/aerial-cactus-identification-cnn-with-keras", "kernel_id": "4055899"}, {"ref": "gstvolvr/aerial-cactus-identification-exploring-pytorch", "kernel_id": "4429080"}, {"ref": "fycher/aerial-cactus-recognition-with-keras-and-vgg16", "kernel_id": "4006542"}, {"ref": "phoenix9032/cactus-identification-with-keras-cnn-ensemble", "kernel_id": "4327671"}, {"ref": "phoenix9032/fastai-ensemble-tutorial-aerial-cactus", "kernel_id": "4566166"}, {"ref": "sarthakbatra/fastai-tutorial", "kernel_id": "4040294"}, {"ref": "srisravya484/aerial-cactus-identification-using-resnet50", "kernel_id": "4305761"}, {"ref": "stutig29/image-classification-using-3-layer-cnn", "kernel_id": "4030693"}, {"ref": "pablocarrera/aerialcactusidentification", "kernel_id": "4447135"}, {"ref": "pablocarrera/cactusscript", "kernel_id": "4735529"}, {"ref": "marcelonepo/cnn-augment-vgg16", "kernel_id": "4445933"}, {"ref": "shaianne/cactus-identifier-using-cnn-c76df5", "kernel_id": "4555743"}, {"ref": "yoonacha/kernel8977786447", "kernel_id": "4566827"}, {"ref": "larawusl123/cactus-practice-predictions", "kernel_id": "4031541"}, {"ref": "bgmello/transfer-learning-with-keras", "kernel_id": "4104515"}, {"ref": "silvioakempf/boateazul-dama-de-vermelho", "kernel_id": "4375031"}, {"ref": "theivaprakasham/fastai-resnet152-kernal", "kernel_id": "4429660"}, {"ref": "filipmg/cactus-identification-densenet", "kernel_id": "4025894"}, {"ref": "sohaibanwaar1203/pre-trained-resnet-py-torch", "kernel_id": "4688994"}, {"ref": "sohaibanwaar1203/dense-net-image-classification", "kernel_id": "4454963"}, {"ref": "semlan/cactus-kernel", "kernel_id": "4562899"}, {"ref": "anshu1man/aerial-cactus", "kernel_id": "4572918"}, {"ref": "droid021/cactus", "kernel_id": "4635576"}, {"ref": "zhangzhch/kernel7128fee394", "kernel_id": "4773813"}, {"ref": "abhinand05/in-depth-guide-to-convolutional-neural-networks", "kernel_id": "4327776"}, {"ref": "fmak95/aerialcactus", "kernel_id": "4853478"}, {"ref": "louplus/aerial-cactus-identification-used-auto-keras", "kernel_id": "4857710"}, {"ref": "arqtty/make-it-cactusy", "kernel_id": "4849021"}, {"ref": "owiz21/kernelf6416c42b7", "kernel_id": "4094573"}, {"ref": "elmehdiamine/easy-fastai-with-resnet50", "kernel_id": "4768734"}, {"ref": "nikhiltheallknowing/ariel-cactus-identification", "kernel_id": "4429213"}, {"ref": "honglou/kernel57a7dc59b3", "kernel_id": "4675019"}, {"ref": "akhileshrai/viz-agg-clustering-qda-lda-cnn", "kernel_id": "4573863"}, {"ref": "flowy98/cactus-cnn", "kernel_id": "4722040"}, {"ref": "okeaditya/tutorial-on-transfer-learning-cnn-with-keras", "kernel_id": "4623359"}, {"ref": "okeaditya/aerial-cactus-keras-cnn", "kernel_id": "4565445"}, {"ref": "supratikoley/aerial-cactus-identification", "kernel_id": "4030050"}, {"ref": "shahkan/cnn-classification-of-cactus-with-98-accuracy", "kernel_id": "4333405"}, {"ref": "s3chwartz/aerial-cactus-identification", "kernel_id": "4111939"}, {"ref": "calder10/aerial-cactus-identification-using-cnn", "kernel_id": "4378912"}, {"ref": "parvez218/pytorchdensenet-539843", "kernel_id": "4321941"}, {"ref": "samshenvi/cactus-detection-using-fastai-resnet34", "kernel_id": "4159410"}, {"ref": "lijeshshetty/aerial-cactus-lijesh-shetty", "kernel_id": "4299194"}, {"ref": "albertsheldon/test-m1", "kernel_id": "4743759"}, {"ref": "albertsheldon/test-m2", "kernel_id": "4744051"}, {"ref": "albertsheldon/test-resnet", "kernel_id": "4744082"}, {"ref": "umemiyaumeume/simple-cnn", "kernel_id": "4141242"}, {"ref": "vchacham/cactus-kernel", "kernel_id": "4994845"}, {"ref": "seedlite/aerial-cactus-identification-using-keras", "kernel_id": "4010162"}, {"ref": "valleyzw/easy-keras-cnn", "kernel_id": "4575831"}, {"ref": "rezapci/detecting-cactus-with-kekas", "kernel_id": "4465508"}, {"ref": "akumaldo/resnet-5-layers-keras-0-95lb-for-fun", "kernel_id": "4050358"}, {"ref": "benjaminassel/a-simple-cnn-model", "kernel_id": "4173015"}, {"ref": "saripudin/aerial-cactus-identification-densenet-201", "kernel_id": "4404912"}, {"ref": "abyaadrafid/cactus-finder-perfect-score-with-fastai-vision", "kernel_id": "4111909"}, {"ref": "kcirtap1324/kernel307d9a2ade", "kernel_id": "4178726"}, {"ref": "gramgram123/aerial-cactus-keras-resnet50", "kernel_id": "4129682"}, {"ref": "njwangyuting/kernel5065e63c60", "kernel_id": "4167857"}, {"ref": "sajaldeb25/cactus-identification", "kernel_id": "4637940"}, {"ref": "darthgera/transfer-learning-with-densenet-and-fastai", "kernel_id": "4611530"}, {"ref": "yuriao/basic-cnn-classifier", "kernel_id": "4405683"}, {"ref": "kasumil5x/kernelba61e95ea2", "kernel_id": "4829265"}, {"ref": "hungtp/kernel-1", "kernel_id": "4143001"}, {"ref": "michaelharrison87/aerial-cactus-identification-vgg16", "kernel_id": "4050255"}, {"ref": "niranjankumarc/aerialcactusclassification-pytorch-vgg-imagenet", "kernel_id": "4205107"}, {"ref": "vishal03092000/aerial-cactus-identi-vgg16", "kernel_id": "4335296"}, {"ref": "aswinharitharan/aerial-cactus-inception", "kernel_id": "4132554"}, {"ref": "kotlanikhil222/kernel95b45cc5ce", "kernel_id": "4144849"}, {"ref": "rodrigoga/kernel4833e980f9", "kernel_id": "4266611"}, {"ref": "mouri11/identify-columnar-cactus-using-deep-learning", "kernel_id": "4350430"}, {"ref": "zanderpease/rc-cactus", "kernel_id": "4279836"}, {"ref": "aplayer98/cactus-recognizer-with-predict-generator", "kernel_id": "4205988"}, {"ref": "saintjinhog/kernel8cb19eab65", "kernel_id": "4303839"}, {"ref": "taejunwang/py-beginner-cactus", "kernel_id": "4304485"}, {"ref": "salmae/cnn-for-aerial-cactus-identification", "kernel_id": "4551201"}, {"ref": "aurelienmontmejat/cactus-personal-model", "kernel_id": "4781335"}, {"ref": "maxwellshannonlevin/aerial-cactus-identification-with-keras", "kernel_id": "4599898"}, {"ref": "cyannani123/tiny-keras-cnn-for-aerial-cactus-identification", "kernel_id": "4553017"}, {"ref": "sahilchoudhary/cactus-detection-tensorflow-2-0-gpu-beta", "kernel_id": "4763053"}, {"ref": "kimlabiee/kernel650d1a413d", "kernel_id": "4666545"}, {"ref": "ilyapunov/kernel-aci", "kernel_id": "4703964"}, {"ref": "ibraheemmoosa/cactus-pytorch-resnet18-arcface", "kernel_id": "5205734"}, {"ref": "nuldiego/baseline-cactus-cnn-with-keras", "kernel_id": "5211968"}, {"ref": "eiosifov/aerial-cactus-identification", "kernel_id": "5703488"}, {"ref": "spsayakpaul/aerial-cactus-identification-using-tfhub", "kernel_id": "5256373"}, {"ref": "spandan28/vggnet-based-transfer-learning", "kernel_id": "5764674"}, {"ref": "shubhams9k96/cactus-baseline", "kernel_id": "5565611"}, {"ref": "dishingoyani/train-cnn-network-pytorch-beginner", "kernel_id": "5355349"}, {"ref": "alexanderdbooth/transfer-learn-identify-a-cactus-w-deep-learning", "kernel_id": "5772261"}, {"ref": "alexanderdbooth/identify-a-cactus-w-deep-learning", "kernel_id": "5761035"}, {"ref": "horohoro/aerial-cactus-identification-simplecnn", "kernel_id": "5144562"}, {"ref": "sajjadmanal/kernel19546b3b89", "kernel_id": "5094933"}, {"ref": "sadilkhan786/aerial-cactus-classification-using-pytorch", "kernel_id": "5205249"}, {"ref": "johnnyparafango/transfer-learning-with-keras-vgg19", "kernel_id": "5672723"}, {"ref": "nvinayvarma189/cactus-identification", "kernel_id": "5240940"}, {"ref": "howlingwolfs1989/aerial-cactus-identification-beginner", "kernel_id": "5745453"}, {"ref": "theainerd/the-hitchiker-s-guide-to-cnn-with-fine-tuning", "kernel_id": "5099920"}, {"ref": "bhabie/cactusnotebook", "kernel_id": "5457349"}, {"ref": "bhabie/cactusnotebooksubmission", "kernel_id": "5860577"}, {"ref": "sriramyakannepalli/keras-vgg16-transfer-learning-with-auc-roc-plot", "kernel_id": "5201563"}, {"ref": "zhudongxiao/cnn-soluation", "kernel_id": "5234336"}, {"ref": "sergei416/cactus-cnn", "kernel_id": "5576217"}, {"ref": "antimony18/pytorch-cnn-model", "kernel_id": "5801854"}, {"ref": "montimirko/cactus-recognition-resnet50-transfer-learning", "kernel_id": "5270795"}, {"ref": "harshitt21/playing-with-cnns", "kernel_id": "5570827"}, {"ref": "drcapa/aerial-cactus-identification-vgg16-cnn", "kernel_id": "5686755"}, {"ref": "yukinao/aerial-cactus-identification-keras-efficientnet-b3", "kernel_id": "5367241"}, {"ref": "rajuyadav7532/arial-cactus-identification-using-keras", "kernel_id": "5272141"}, {"ref": "gpranav/kernel1c3f8eba47", "kernel_id": "5572430"}, {"ref": "faizu07/aerial-cactus-identifier", "kernel_id": "5455920"}, {"ref": "jarrous/aerial-cactus-identification", "kernel_id": "5609324"}, {"ref": "nazarii/aerial-cactus-identification", "kernel_id": "6648033"}, {"ref": "eddididi/gonnasting-with-one-inception-layer", "kernel_id": "6153465"}, {"ref": "sajjadmanal/lunarr", "kernel_id": "6023127"}, {"ref": "renatovaladares/kernel13d8e6f04f", "kernel_id": "6915183"}, {"ref": "renatovaladares/kernel516e9c8962", "kernel_id": "6855340"}, {"ref": "d94niel/2019-10-04-cactus-detection", "kernel_id": "6061912"}, {"ref": "aubinp/kernel59fd818d1b", "kernel_id": "6621201"}, {"ref": "poltigo/aerial-cactus-with-fastai-resnet50-model", "kernel_id": "6129739"}, {"ref": "aroonkp/arial-cactus", "kernel_id": "6008778"}, {"ref": "alexrios/jat-team-vers-o-final-cactus", "kernel_id": "6916681"}, {"ref": "marcelorbsousa/kernel6062d6a639", "kernel_id": "6967699"}, {"ref": "marcelorbsousa/kernel7b6a84a711", "kernel_id": "6927693"}, {"ref": "japanese910/aerial-cactus-identification", "kernel_id": "6932813"}, {"ref": "chirodiplodh/cactus-challenge-by-chirodip", "kernel_id": "6161138"}, {"ref": "hk0904085/kernel1694f9b375", "kernel_id": "6931494"}, {"ref": "stopmosk/cactus-pytorch-baseline", "kernel_id": "6470752"}, {"ref": "aabhi202/experiment-by-switching-optimizers-using-monk", "kernel_id": "6612553"}, {"ref": "rammsesprateat/cactus-aprendizado", "kernel_id": "6830872"}, {"ref": "marcosbritobda/bda-2020", "kernel_id": "6831388"}, {"ref": "jusikyun/kaggle-cactus-ex", "kernel_id": "6863681"}, {"ref": "abhishek4273/classification-using-monk-design-a-custom-network", "kernel_id": "7618288"}, {"ref": "monafrommert/kernel6574ac7a7b", "kernel_id": "7706775"}, {"ref": "odyssey33/aerial-cactus-competition-cnn-pytorch", "kernel_id": "7364559"}, {"ref": "lagmoellertim/aerial-cactus-identification-using-fastai", "kernel_id": "7231007"}, {"ref": "goutham4561/kernelf7245ef61f", "kernel_id": "7485327"}, {"ref": "alekseykobylin/aerialcactusidentification", "kernel_id": "7604856"}, {"ref": "viewside/fork-of-kernel69349e981c", "kernel_id": "7978715"}, {"ref": "xaviersulkowski/aerial-cactus-identification-basics-with-keras", "kernel_id": "7627112"}, {"ref": "rajdeepdutta99/cactus-identification", "kernel_id": "7897649"}, {"ref": "marcelorbsousa/kernel4f62727778", "kernel_id": "7059593"}, {"ref": "arshtangri2/cactus-vgg16", "kernel_id": "7564734"}, {"ref": "gokulramesh125/kernel7cecdb97ac", "kernel_id": "7416175"}, {"ref": "tonytonyl/cactus-preprocessed", "kernel_id": "7973270"}, {"ref": "sahilafaq/getting-started-with-cnn-and-vgg16", "kernel_id": "7062107"}, {"ref": "szyjak/cactus-done-right", "kernel_id": "7604943"}, {"ref": "jugglingsnakeboarder/cactusidentificationcnn", "kernel_id": "7984661"}, {"ref": "andrewross3/cactus-prediction-fastai-ens", "kernel_id": "8794828"}, {"ref": "nachiket273/cactus-prediction-fastaiv2", "kernel_id": "8785709"}, {"ref": "sleepybatman42/aerial-cactus-id-with-cnn", "kernel_id": "8275556"}, {"ref": "sleepybatman42/aerial-cactus-2", "kernel_id": "8419169"}, {"ref": "sleepybatman42/aerial-cactus-3", "kernel_id": "8554078"}, {"ref": "casfranco/cactus-classification-kerasfinetunning", "kernel_id": "8058551"}, {"ref": "hadayo/finalcactustron", "kernel_id": "8872358"}, {"ref": "giniya/cactus-identification-share", "kernel_id": "8743555"}, {"ref": "robbiebeane/cactus-identification-v01", "kernel_id": "8614643"}, {"ref": "robbiebeane/cactus-identification-share", "kernel_id": "8725629"}, {"ref": "hanhdao123/cactus-identification", "kernel_id": "8848389"}, {"ref": "varunagrawal123/aerial-cactus2", "kernel_id": "8199601"}, {"ref": "paulorenatocastro/cactus-proj-01", "kernel_id": "8640653"}, {"ref": "spanda2/cactus-identification-share", "kernel_id": "8790777"}, {"ref": "williamdahan/kernel7e8e86686d", "kernel_id": "8413985"}, {"ref": "thanhhungnguyen/cactus-identification-ver-1", "kernel_id": "9080361"}, {"ref": "visali/non-emergency-using-efficientnet", "kernel_id": "10208028"}, {"ref": "rahulbana/aerial-cactus-identification", "kernel_id": "10958834"}, {"ref": "thanhdatnv2712/aerial-cactus-identification-pytorch", "kernel_id": "10482482"}, {"ref": "ljh415/200617", "kernel_id": "10171228"}, {"ref": "sumeetsawant/cactus-recognition-using-fastai", "kernel_id": "10045007"}, {"ref": "moisesamadojr/cnn-vgg16-senac-2020", "kernel_id": "10416820"}, {"ref": "moisesamadojr/cnn-senac-2020", "kernel_id": "10480893"}, {"ref": "luisfelipeseabra/cnn-vgg16", "kernel_id": "10369295"}, {"ref": "ayeongjeong/detecting-cactus-using-keras", "kernel_id": "10445132"}, {"ref": "danielqdm/cnns-exerc-cio", "kernel_id": "10298363"}, {"ref": "youngchuchu/200617-kaggle-classification-cactus-alexnet-yk", "kernel_id": "10161047"}, {"ref": "robertorajunior/cnn-vgg16", "kernel_id": "10416851"}, {"ref": "nandeirviana/kernel2f764a0c4d", "kernel_id": "10338057"}, {"ref": "jorgecarvalho/cnn-senac-2020-jorge", "kernel_id": "10480783"}, {"ref": "guilhermegomesalves/cnn-cactus-exerc-cio", "kernel_id": "10417075"}, {"ref": "clesiosantos/senac-2020-team-cv", "kernel_id": "10402982"}, {"ref": "yanggongbudui/kernel911884725b", "kernel_id": "10463719"}, {"ref": "xujiazhang/kernel7610cb9c69", "kernel_id": "10978202"}, {"ref": "aravindram11/cactus-identification-with-resnet50-99-accuracy", "kernel_id": "11030662"}, {"ref": "shivamkotwalia/initial-run-with-transfer-learninig-vgg-keras", "kernel_id": "11571262"}, {"ref": "awaawa/simple-starter-kit-with-tensorflow2-0", "kernel_id": "11457447"}, {"ref": "jinyongnan/review-of-cactus-recognition-basic-cnn", "kernel_id": "11775023"}, {"ref": "ljh415/20200908", "kernel_id": "11595487"}, {"ref": "ljh415/notebook543c6b8ad9", "kernel_id": "11608091"}, {"ref": "pascalesteves/notebook9666a66375", "kernel_id": "11484389"}, {"ref": "royceda/aerial-cactus-less-is-better-sometimes", "kernel_id": "12415979"}, {"ref": "adamdavis99/fastai-2-notebook", "kernel_id": "12585667"}, {"ref": "mh960110/pytorchcnn", "kernel_id": "12108734"}, {"ref": "gusjohnson/cactus", "kernel_id": "12685151"}, {"ref": "yohanseo/1116-cactus-test", "kernel_id": "12903455"}, {"ref": "heeyun19/notebookd19805b8a8", "kernel_id": "12903149"}, {"ref": "nagsdata/cactus-or-not", "kernel_id": "13795749"}, {"ref": "danielverdu/aerial-cactus-identification-pytorch", "kernel_id": "13482548"}, {"ref": "clmentdauvilliers/cactus-notebook-2", "kernel_id": "13311292"}, {"ref": "abdelrahmanhelaly/vgg-16-transferlearning", "kernel_id": "13432757"}, {"ref": "imseongyong/notebook7a7685fb98", "kernel_id": "13939962"}, {"ref": "marselaaliaj/aliaj-cactus-identification-v01", "kernel_id": "14876450"}, {"ref": "kasevgen/pytorch-binary-classification", "kernel_id": "14798014"}, {"ref": "jacobmorrison213/simple-cnn-using-keras", "kernel_id": "14229079"}, {"ref": "dev7708111662/aerial-cactus-identification-pytorch", "kernel_id": "14008320"}, {"ref": "baehyunchul/notebook6d3210a951", "kernel_id": "14349856"}, {"ref": "baehyunchul/aerial-cactus-identification-by-trajanus", "kernel_id": "14302663"}, {"ref": "s109321519/sadcactusforsvc", "kernel_id": "14019699"}, {"ref": "maximenemo/autre-essais", "kernel_id": "14421714"}, {"ref": "gianghus/pytorch-cnn-simple", "kernel_id": "14219593"}, {"ref": "spaghettiidawg666/cactus-jack", "kernel_id": "15576024"}, {"ref": "nmarroni/aerial-cactus-identification-cnn", "kernel_id": "15678168"}, {"ref": "yasserhessein/aerial-cactus-identification-with-inceptionv3", "kernel_id": "16758479"}, {"ref": "werooring/roc-auc-0-9999-simple-cnn-model", "kernel_id": "17365913"}, {"ref": "sa2zoi/dl-cactus-classification-vgg16", "kernel_id": "17547545"}, {"ref": "rahulanand0070/all-you-need-to-know-about-transfer-learning-cnn", "kernel_id": "18903801"}, {"ref": "mma520/aerial-cactus-identification", "kernel_id": "18911663"}, {"ref": "sevvalbicer/dense-net-dog-image-classification", "kernel_id": "18762891"}, {"ref": "yash0330/notebook89ef43434b", "kernel_id": "19345259"}, {"ref": "werooring/ch11-baseline", "kernel_id": "20612681"}, {"ref": "werooring/ch11-modeling", "kernel_id": "20465224"}, {"ref": "werooring/ch11-eda", "kernel_id": "20465301"}, {"ref": "werooring/ch11-modeling2", "kernel_id": "20464368"}, {"ref": "otivedani/aerialcactusidentification", "kernel_id": "21466841"}, {"ref": "drbeane/aerial-cactus-identification", "kernel_id": "21433845"}, {"ref": "drbeane/aerial-cactus-identification-submission", "kernel_id": "21435869"}, {"ref": "werooring/ch11-notebook", "kernel_id": "22241550"}, {"ref": "helmiaziz/aerial-cactus-identification-pytorch", "kernel_id": "22639248"}, {"ref": "drbeane/class-activation-maps-cactus", "kernel_id": "22118824"}, {"ref": "drbeane/visualize-activations-cactus", "kernel_id": "22118064"}, {"ref": "drbeane/filter-visualization-cactus", "kernel_id": "22116762"}, {"ref": "drbeane/transfer-learning-cactus", "kernel_id": "22127145"}, {"ref": "hwangchanghyun/renew-2022-simple-pytorch-starter", "kernel_id": "23765348"}, {"ref": "mekonnen/aerial-cactus-identification-pytorch", "kernel_id": "24989712"}, {"ref": "drbeane/efficientnet-example-cactus", "kernel_id": "26061126"}, {"ref": "faridamoussa/inceptionv3", "kernel_id": "27232376"}, {"ref": "dhanyabahadur/aerial-cactus-identification", "kernel_id": "29244423"}, {"ref": "edutechalexlee/must-have-ch-11-2-1", "kernel_id": "29827964"}, {"ref": "edutechalexlee/must-have-ch-11-1-baseline", "kernel_id": "29827308"}, {"ref": "luxleo/aerial-cactus-identification-tensorflow-version", "kernel_id": "29998659"}, {"ref": "eunflash/chater11", "kernel_id": "31148736"}, {"ref": "porthossaint/aerial-cactus-eda", "kernel_id": "31764020"}, {"ref": "shindm/notebooke7a85155bc", "kernel_id": "31986036"}, {"ref": "kbs130302/chapter11", "kernel_id": "31986010"}, {"ref": "kouppm/chapter11", "kernel_id": "31986296"}, {"ref": "kimdohyung111/chater11", "kernel_id": "32377229"}, {"ref": "qet0826/ch11-notebook", "kernel_id": "32347466"}, {"ref": "leevs5/aerial-cactus-identification", "kernel_id": "33487208"}, {"ref": "vijivijay/aerial-cactus-acc-99", "kernel_id": "34910960"}, {"ref": "youngilha/aerial-cactus-identification-eda-baseline-model", "kernel_id": "34646024"}, {"ref": "anoopkrishan/aerial-cactus-cnn", "kernel_id": "34558205"}, {"ref": "younginit/my-cactus", "kernel_id": "34059522"}, {"ref": "surihh/must-have-part02-11-copied", "kernel_id": "35263883"}, {"ref": "hyelimjang/notebookc3250ef626", "kernel_id": "36356248"}, {"ref": "cocoyachi/cactus-lookaround", "kernel_id": "36310813"}, {"ref": "cocoyachi/cactus-simplecnn-pytorch", "kernel_id": "36528680"}, {"ref": "cocoyachi/cactus-improvecnn-pytorch", "kernel_id": "36567793"}, {"ref": "wonheeejeong/ch11-baseline", "kernel_id": "37505414"}, {"ref": "wonheeejeong/aerial-cactus-eda", "kernel_id": "37505207"}, {"ref": "anantpandey29/pytorch-implementation-of-efficientnet", "kernel_id": "38947754"}, {"ref": "al3xrods/99-accuracy-on-cactus-removing-duplicates", "kernel_id": "38903616"}, {"ref": "ccandtt/final-work", "kernel_id": "40657816"}, {"ref": "vermaavi/fork-of-aerial-cactus-idf-trfr-lrng", "kernel_id": "41693005"}, {"ref": "anugyamaurya/aerialcactus-cnn", "kernel_id": "41226546"}, {"ref": "rohanzade16/cnn-imageaug", "kernel_id": "41463455"}, {"ref": "nikhil6991/cactus-cnn-model", "kernel_id": "41116732"}, {"ref": "leemoodong/ch11-eda", "kernel_id": "41898701"}, {"ref": "leemoodong/ch11-modeling", "kernel_id": "41990394"}, {"ref": "leemoodong/ch11-baseline", "kernel_id": "41984904"}, {"ref": "leemoodong/ch11-modeling2", "kernel_id": "41993490"}, {"ref": "ashuprajapati/aerial-cactus", "kernel_id": "41232319"}, {"ref": "leemoodong/ch11-notebook", "kernel_id": "42023134"}, {"ref": "beomsulee/aerial-cactus-identification-with-cnn", "kernel_id": "42944021"}, {"ref": "ahmeddheyaa/densenet-layers", "kernel_id": "43551033"}, {"ref": "scottxchoo/cactus-3-improve-performance-submission", "kernel_id": "43791721"}, {"ref": "scottxchoo/cactus-2-baseline-model", "kernel_id": "43752103"}, {"ref": "scottxchoo/cactus-1-eda-for-beginner", "kernel_id": "43748095"}, {"ref": "junlee21/juniya-11-3", "kernel_id": "44995601"}, {"ref": "woohyeokkang/ch-11", "kernel_id": "44915583"}, {"ref": "actafool/js-chapter11", "kernel_id": "44961857"}, {"ref": "fkjh98/20003326-ch11", "kernel_id": "44809229"}, {"ref": "polljjaks/cactus-own", "kernel_id": "44701712"}, {"ref": "polljjaks/cactus-study", "kernel_id": "44739071"}, {"ref": "inzilele/notebookcdb8b5bde2", "kernel_id": "44398874"}, {"ref": "inzilele/notebook3142c0de84", "kernel_id": "44267958"}, {"ref": "junbokoh/ch11-ridi-04-modeling-further-cactus-aerial", "kernel_id": "45412237"}, {"ref": "woohyeokkang/ch-11-model", "kernel_id": "45256769"}, {"ref": "matthewratterree/mr-aerial-cactus-identification", "kernel_id": "45764735"}, {"ref": "surihh/must-have-part02-11-copied-2", "kernel_id": "45361901"}, {"ref": "polljjaks/fork-of-cactus-own", "kernel_id": "45057993"}, {"ref": "fl0a1e/cactus-cnn-0-9955", "kernel_id": "45971264"}, {"ref": "fkjh98/2003326-ch11", "kernel_id": "46482179"}, {"ref": "junghyukchoi/data-science-report", "kernel_id": "46243522"}, {"ref": "kevsernal/yapayzeka-11", "kernel_id": "48601408"}, {"ref": "puneetgupta24/aerial-cactus-identification", "kernel_id": "52436420"}, {"ref": "segnidessalegn/draft-ii-computer-vision-assignment-ii", "kernel_id": "56012426"}, {"ref": "jeongsuppark/aerial-cactus-identification", "kernel_id": "59930990"}, {"ref": "yutaroshimizu/quick-cnn-solution", "kernel_id": "65399044"}, {"ref": "jungfeelmoon/notebook5c94af7139", "kernel_id": "65151245"}, {"ref": "ppr500t/mycactus", "kernel_id": "65150959"}, {"ref": "trispark/aerial-cactus-identification-eda", "kernel_id": "65467559"}, {"ref": "trispark/aerial-cactus-identification-baseline", "kernel_id": "65468952"}, {"ref": "trispark/aerial-cactus-identification-modeling-2", "kernel_id": "65512189"}, {"ref": "trispark/aerial-cactus-identification-modeling", "kernel_id": "65508448"}, {"ref": "sawahiro1129/20241002", "kernel_id": "66797702"}, {"ref": "guebinchoi/notebook3ad795b33c", "kernel_id": "71809893"}, {"ref": "beomseongkim/cnn-model-0-9998", "kernel_id": "73553493"}, {"ref": "beomseongkim/cnn-model", "kernel_id": "73552962"}, {"ref": "duongvanhiepk18hl/getting-started-with-cnn-and-vgg16", "kernel_id": "75980673"}, {"ref": "eduardolezama/newbie-using-fastai-to-classify-if-img-has-cactus", "kernel_id": "78255676"}, {"ref": "rojzen/pytorch-implementation-of-efficientnet", "kernel_id": "81103729"}, {"ref": "carlosmatherson/cactus-identification-resnet-transfer-learning", "kernel_id": "81322244"}, {"ref": "primefactor11927/notebook75741a1bea", "kernel_id": "86387463"}, {"ref": "togawashota/notebookf8df456e63", "kernel_id": "86846693"}, {"ref": "shikinomegumi/notebook6b5f211326", "kernel_id": "86387487"}, {"ref": "segu20020712/notebook71bd45aaff", "kernel_id": "86387466"}, {"ref": "azu622/notebook93bce3ab25", "kernel_id": "86387459"}, {"ref": "sohahuss/notebook329e0ead8d", "kernel_id": "86859198"}, {"ref": "ezzatt/cactus-competition-cnn", "kernel_id": "87446696"}, {"ref": "segu20020712/notebook815526c398", "kernel_id": "87336928"}, {"ref": "donghyun29/simplecnn-auroc0-9997", "kernel_id": "98979097"}, {"ref": "evanoleary/alexandria-competition-aerial-cactus-iden-246798", "kernel_id": "100572972"}, {"ref": "evanoleary/alexandria-competition-aerial-cactus-iden-247373", "kernel_id": "100574113"}, {"ref": "evanolearyemenate/alexandria-competition-aerial-cactus-iden-210068", "kernel_id": "100465486"}, {"ref": "evanolearyemenate/alexandria-competition-aerial-cactus-iden-251519", "kernel_id": "100582266"}, {"ref": "handeharmankaya/aerial-cactus-identification", "kernel_id": "102768112"}, {"ref": "eskella/cactus-id-improved-model", "kernel_id": "107947286"}, {"ref": "eskella/cactus-id-baseline", "kernel_id": "107932811"}, {"ref": "leyuzakoksoken/cactusvision-efficientnetb3-baseline", "kernel_id": "108184355"}, {"ref": "mugishapacifique/cactus-challenge-fastai-resnet50-with-tta", "kernel_id": "115417083"}, {"ref": "mizeroluckygall/aerial-cactus-identification", "kernel_id": "115454412"}, {"ref": "promesser/bestcactusid-1-00000", "kernel_id": "115432560"}, {"ref": "gikundirouwasebelyse/pytorch-efficientnet", "kernel_id": "115452161"}, {"ref": "jnlouis/arial-cactus-identification", "kernel_id": "115638642"}, {"ref": "jnlouis/aerial-cactus-identification-by-louis", "kernel_id": "115455021"}, {"ref": "abayobenitha/submission-4-cvs", "kernel_id": "115442784"}, {"ref": "iteteronikita/aerial-cactus-identification-n", "kernel_id": "115491310"}, {"ref": "iteteronikita/aerial-cactus-identification-baseline", "kernel_id": "115459521"}, {"ref": "iteteronikita/aerial-cactus-challenge-identification", "kernel_id": "115455356"}, {"ref": "iteteronikita/aerial-cactus-identification-nn", "kernel_id": "115552048"}, {"ref": "ntwarismithodrick/aerial-cactus-notebook", "kernel_id": "115560158"}, {"ref": "liamislazy/aerial-cactus-identification", "kernel_id": "124502473"}, {"ref": "parinranjan/aerialcactus", "kernel_id": "124481978"}, {"ref": "jimmyedward2/je-aerial-cactus-identification", "kernel_id": "130261505"}]}
{"competition_id": "13439", "kernels": []}
{"competition_id": "13441", "kernels": [{"ref": "kstarxin/kernel8b317c23eb", "kernel_id": "3582549"}]}
{"competition_id": "13449", "kernels": []}
{"competition_id": "13451", "kernels": [{"ref": "omission/eda-view-dicom-images-with-correct-windowing", "kernel_id": "5870305"}, {"ref": "jordidelatorre/dicom-to-jpeg-converter", "kernel_id": "5871159"}, {"ref": "tonyyy/corrupted-pixeldata-in-id-6431af929-dcm", "kernel_id": "5879117"}, {"ref": "erikgaasedelen/pandas-tricks-with-averaged-baseline", "kernel_id": "5881224"}, {"ref": "kambarakun/verify-downloaded-files-not-broken-rsna-ich-d", "kernel_id": "5862518"}, {"ref": "kambarakun/maybe-any-weight-is-x2-of-others", "kernel_id": "5878123"}, {"ref": "kambarakun/lb-probe-weights-n-of-positives-scoring", "kernel_id": "5981509"}, {"ref": "srsteinkamp/intuitions-ideas-basic-preprocessing", "kernel_id": "5863834"}, {"ref": "srsteinkamp/using-hu-sino-histograms-for-classification", "kernel_id": "5958681"}, {"ref": "allunia/rsna-ih-detection-eda", "kernel_id": "5885113"}, {"ref": "samusram/discovering-windowing-make-brain-visible", "kernel_id": "5854826"}, {"ref": "oneraghavan/simple-eda", "kernel_id": "5896061"}, {"ref": "guiferviz/prepare-dataset-resizing-and-saving-as-png", "kernel_id": "5905513"}, {"ref": "guiferviz/dicom-metadata-to-csv", "kernel_id": "5958029"}, {"ref": "seshurajup/eda-rsna-intracranial-hemorrhage-detection", "kernel_id": "5854975"}, {"ref": "ksooklall/simple-eda-inception-v3", "kernel_id": "5866452"}, {"ref": "robinchao/just-visualizing-images", "kernel_id": "5853514"}, {"ref": "taindow/pytorch-efficientnet-b0-benchmark", "kernel_id": "5900157"}, {"ref": "taindow/pytorch-resnext-101-32x8d-benchmark", "kernel_id": "5984287"}, {"ref": "nawazahmad20/using-fast-ai-for-intracranial-hemorrhage-detectio", "kernel_id": "5889178"}, {"ref": "currypurin/simple-eda", "kernel_id": "5858868"}, {"ref": "wfwiggins203/eda-dicom-tags-windowing-head-cts", "kernel_id": "5860860"}, {"ref": "frankkloster/hemorrhage-images-eda", "kernel_id": "5875366"}, {"ref": "juanrami/rsna-intracranial-hemorrhage-detection", "kernel_id": "5887490"}, {"ref": "kenho211/quick-eda-ich", "kernel_id": "5928692"}, {"ref": "wakamezake/find-duplicate-ids", "kernel_id": "5866832"}, {"ref": "alimbekovkz/basic-eda-albumentations-augs", "kernel_id": "5852239"}, {"ref": "kwisatzhaderach/dicom-generator", "kernel_id": "5854049"}, {"ref": "akashravichandran/basic-eda-rsna-intracranial-hemorrhage-detection", "kernel_id": "5853119"}, {"ref": "ollieperree/fastai", "kernel_id": "5864323"}, {"ref": "dhruv8680/rsna-eda-based-on-bone-vs-brain-windowing", "kernel_id": "5902380"}, {"ref": "amelnozieres/understand-the-challenge-and-explore-the-data", "kernel_id": "5883262"}, {"ref": "natsakol/images-and-ratio-of-single-subtype-positive", "kernel_id": "5914195"}, {"ref": "carlolepelaars/converting-dicom-metadata-to-csv-rsna-ihd-2019", "kernel_id": "5930484"}, {"ref": "braquino/correct-images-sequece", "kernel_id": "5958732"}, {"ref": "jaideepvalani/save-jpg", "kernel_id": "5158832"}, {"ref": "mobassir/keras-efficientnetb4-for-intracranial-hemorrhage", "kernel_id": "5931484"}, {"ref": "akashshastri/training-rsna", "kernel_id": "5945306"}, {"ref": "akensert/rsna-inceptionv3-keras-tf1-14-0", "kernel_id": "5906113"}, {"ref": "xhlulu/rsna-intracranial-simple-densenet-in-keras", "kernel_id": "5865599"}, {"ref": "alexandregeorges/rsna-with-r", "kernel_id": "5877576"}, {"ref": "jesucristo/rsna-introduction-eda-models", "kernel_id": "5864172"}, {"ref": "mrfrancois/setting-up-data-generator-and-cnn-in-r", "kernel_id": "5989810"}, {"ref": "drcapa/hemorrhage-imagegenerator-resnet50", "kernel_id": "5989729"}, {"ref": "lkz999/visualization-information-extraction", "kernel_id": "5853309"}, {"ref": "dcstang/see-like-a-radiologist-with-systematic-windowing", "kernel_id": "5875579"}, {"ref": "marcovasquez/basic-eda-data-visualization", "kernel_id": "5852984"}, {"ref": "kldsrf/rsna-intracranial-simple-densenet-in-keras", "kernel_id": "5993380"}, {"ref": "jhoward/creating-a-metadata-dataframe-fastai", "kernel_id": "6128539"}, {"ref": "jhoward/some-dicom-gotchas-to-be-aware-of-fastai", "kernel_id": "6150982"}, {"ref": "jhoward/don-t-see-like-a-radiologist-fastai", "kernel_id": "6212307"}, {"ref": "jhoward/cleaning-the-data-for-rapid-prototyping-fastai", "kernel_id": "6279673"}, {"ref": "jhoward/from-prototyping-to-submission-fastai", "kernel_id": "6280974"}, {"ref": "radek1/fastai-starter-pack-train-basic-model-and-submit", "kernel_id": "6026913"}, {"ref": "egolinko/cnn-in-r", "kernel_id": "6087175"}, {"ref": "kambarakun/was-lb-probe-correct", "kernel_id": "6520714"}, {"ref": "michal20/rsna-train", "kernel_id": "6539858"}, {"ref": "nanditab35/rsna-keras-resnet-model", "kernel_id": "6160003"}, {"ref": "anjum48/reconstructing-3d-volumes-from-metadata", "kernel_id": "6081894"}, {"ref": "anjum48/5th-preprocessing-adjacent-images-and-cropping", "kernel_id": "6618437"}, {"ref": "allunia/rsna-ih-detection-baseline", "kernel_id": "6041997"}, {"ref": "cogitae/cleaning-the-data-for-rapid-prototyping-fastai", "kernel_id": "6293747"}, {"ref": "sneddy/postprocessing-approach", "kernel_id": "6616744"}, {"ref": "bhavesh09/kernel424f701412", "kernel_id": "6091491"}, {"ref": "vinay2020/ml-academy-hackathon", "kernel_id": "6292865"}, {"ref": "writetoneeraj/faster-numpy-version-of-multi-label-focal-loss", "kernel_id": "6690881"}, {"ref": "dskswu/stage2-find-duplicate-ids", "kernel_id": "6511661"}, {"ref": "mingchen0919/get-small-subset-of-original-dataset", "kernel_id": "6798470"}, {"ref": "pestipeti/custom-albumentation-dicomwindowshift", "kernel_id": "6340362"}, {"ref": "jasonjensen/what-are-dicoms", "kernel_id": "6283778"}, {"ref": "anubhav1302/rsna-simple-notebook", "kernel_id": "6022803"}, {"ref": "mathormad/5th-place-solution-stacking-pipeline", "kernel_id": "6618083"}, {"ref": "rsmits/keras-efficientnet-b2-starter-code", "kernel_id": "6287228"}, {"ref": "saquibhashmi/efficientnetb2-keras-baseline-model", "kernel_id": "6318049"}, {"ref": "reppic/gradient-sigmoid-windowing", "kernel_id": "6145543"}, {"ref": "viswajithkn/intracranial-hemorrhage", "kernel_id": "6076837"}, {"ref": "bdubreu/finding-screwed-images-some-data-statistics", "kernel_id": "6246754"}, {"ref": "bdubreu/investigating-outlier-pixels-dicom-gotchas", "kernel_id": "6241648"}, {"ref": "srinesh/baseline-vggnet", "kernel_id": "6082396"}, {"ref": "srinesh/baseline-resnext50", "kernel_id": "6292664"}, {"ref": "hocop1/rsna-the-worst-cases", "kernel_id": "6018187"}, {"ref": "micpie/fastai-v1-dicom-databunch-with-visualization", "kernel_id": "6279259"}, {"ref": "gopalsingh5/fastai-rsna-with-mixed-precision", "kernel_id": "6191901"}, {"ref": "amelnozieres/final-cnn-kernel", "kernel_id": "6540532"}, {"ref": "leaverij/kernel6280702035", "kernel_id": "6606866"}, {"ref": "ansojin/rsna-intracranial-hemorrhage-data-exploration", "kernel_id": "6425504"}, {"ref": "ansojin/clean-data", "kernel_id": "6600667"}, {"ref": "yusukekawata/train-csv-preprocessing-for-training-model", "kernel_id": "6027938"}, {"ref": "carlolepelaars/preprocessing-csv-s-for-training-rsna-ih-2019", "kernel_id": "6002640"}, {"ref": "braquino/pytorch-resnext-32x8d-centercrop", "kernel_id": "6094371"}, {"ref": "smit2300/hemorrhage-eda-encoding-dicom-introduction", "kernel_id": "6139811"}, {"ref": "smit2300/dicom-patient-analysis", "kernel_id": "6167214"}, {"ref": "smit2300/image-segmentation-with-scikit-image", "kernel_id": "6169758"}, {"ref": "smit2300/hemorrhage-medical-introduction", "kernel_id": "6155587"}, {"ref": "nikperi/image-orientation", "kernel_id": "6141670"}, {"ref": "niteshx2/keras-efficientnet-b2-from-start-to-output", "kernel_id": "6564544"}, {"ref": "rx74tsns/rsna-keras-densenet", "kernel_id": "6282646"}, {"ref": "suryaparsa/rsna-basic-eda-part-1", "kernel_id": "6266788"}, {"ref": "c7934597/rsna-inceptionv3-keras-tf1-14-0", "kernel_id": "6790059"}, {"ref": "xhlulu/rsna-generate-metadata-csvs", "kernel_id": "6051410"}, {"ref": "fanconic/windowing-inceptionv3-keras", "kernel_id": "6474289"}, {"ref": "fanconic/ensembling-of-models", "kernel_id": "6468190"}, {"ref": "fanconic/keras-efficientnet-b3-starter-code", "kernel_id": "6309611"}, {"ref": "fanconic/windowing-efficientnet-keras", "kernel_id": "6396116"}, {"ref": "fanconic/ensembling-of-submission-files", "kernel_id": "6588747"}, {"ref": "richhaporia/rsna-intracranial-hemorrhage-detection-rustom", "kernel_id": "6195565"}, {"ref": "phantomakame/pytorch-fast-ai-top-1-or-good-results", "kernel_id": "6203008"}, {"ref": "heye0507/fastai-v1-radiologist-windowing-starter", "kernel_id": "6438878"}, {"ref": "abh999/stage2-id-6431af929-is-corrupted", "kernel_id": "6517105"}, {"ref": "arachauhan/resnet50-rsna", "kernel_id": "6126900"}, {"ref": "bonhart/rsna-ihd-eda-video-reation", "kernel_id": "6268535"}, {"ref": "iluvmahheart/all-about-brain", "kernel_id": "6019175"}, {"ref": "joshuacronin/rsna-ih-detection", "kernel_id": "6040217"}, {"ref": "lluissalord/rsna-dicom-normalization-by-metadata-groups", "kernel_id": "6230701"}, {"ref": "lluissalord/rsna-keras-efficientnet-with-image-aumentation", "kernel_id": "6506432"}, {"ref": "niranjankumarc/rsna-fastai-baseline-model", "kernel_id": "6411290"}, {"ref": "purnarao/kernel5081981310", "kernel_id": "6212113"}, {"ref": "purnarao/rsna-eda", "kernel_id": "6065639"}, {"ref": "luisrex15/finalproject-alonso-gs-lct", "kernel_id": "6928363"}, {"ref": "laorsp/rsna-1", "kernel_id": "6057515"}, {"ref": "anibanyal/kaggle-hemorrhage", "kernel_id": "6803791"}, {"ref": "zmnako/eda-extract-metadata-from-the-dicoms", "kernel_id": "6106870"}, {"ref": "sunnyguha/basic-cnn-starter", "kernel_id": "6019720"}, {"ref": "tomooinubushi/image-position-in-dicom-has-predictive-information", "kernel_id": "6052520"}, {"ref": "jatin3009/gradient-sigmoid-windowing", "kernel_id": "6721174"}, {"ref": "simbasaccount/rsna-effficientnet-fastai", "kernel_id": "6228250"}, {"ref": "grenzsprung/hemorrhage-detection-revisited-tuning-a-resnet50", "kernel_id": "6768260"}, {"ref": "grenzsprung/simple-nn-on-hemorrhage-jpgs", "kernel_id": "6860881"}, {"ref": "grenzsprung/cnn-on-hemorrhage-jpgs", "kernel_id": "6924677"}, {"ref": "grenzsprung/resnet-on-hemorrhage-jpgs", "kernel_id": "6926685"}, {"ref": "grenzsprung/simple-nn-on-hemorrhage-jpgs-v2", "kernel_id": "6910282"}, {"ref": "grenzsprung/resnet-array-problem", "kernel_id": "6977708"}, {"ref": "matteodibernardo/from-prototyping-to-submission-fastai-matteo", "kernel_id": "6852515"}, {"ref": "writetoneeraj/rsna-preprocess", "kernel_id": "7711579"}, {"ref": "ratthachat/workshop-keras-rsna", "kernel_id": "7476963"}, {"ref": "shashank9830/deep-rnn-notebook-1", "kernel_id": "7512579"}, {"ref": "shashank9830/rsna-ich-detection", "kernel_id": "7415893"}, {"ref": "sbcool/kernel502b8aa07a", "kernel_id": "7509781"}, {"ref": "aayush29071996/intracranial-hemorrhage", "kernel_id": "8856875"}, {"ref": "giuseppemerendino/from-prototyping-to-submission-fastai-v2", "kernel_id": "8296817"}, {"ref": "aminejait/making-png", "kernel_id": "8999080"}, {"ref": "gowtham210/hemorrhage", "kernel_id": "8222362"}, {"ref": "tasnimfatima/inceptionv3", "kernel_id": "8459563"}, {"ref": "sbcool/kernel26cd469334", "kernel_id": "8608040"}, {"ref": "aaryapatel/gradcam-hemorrhage", "kernel_id": "9317177"}, {"ref": "shalini20/keras-efficientnet-b2", "kernel_id": "9337070"}, {"ref": "shalini20/keras-efficientnet-b4", "kernel_id": "9340124"}, {"ref": "jokiro/training-model-on-sample-dataset", "kernel_id": "9430736"}, {"ref": "jaymin71/keras-densenet169", "kernel_id": "9338236"}, {"ref": "afsan123/keras-resnext50-holdout-split", "kernel_id": "9410813"}, {"ref": "afsan123/keras-xception-holdout-split", "kernel_id": "9411135"}, {"ref": "raakesh96/preprocessing-csv-rsna-ih-2019-19023", "kernel_id": "9965719"}, {"ref": "raakesh96/conv-dicom-to-csv-rsna-ihd-2019-19023", "kernel_id": "9965723"}, {"ref": "adeshwar/keras-seresnet50-holdout-split", "kernel_id": "9410431"}, {"ref": "adeshwar/keras-inceptionv3", "kernel_id": "9356683"}, {"ref": "aaryapatel1998/keras-seresnext50-hold-out-split", "kernel_id": "9409559"}, {"ref": "aaryapatel1998/keras-resnet50-holdout-split", "kernel_id": "9410057"}, {"ref": "victorgfb/pre-processing", "kernel_id": "11920553"}, {"ref": "bharatchoudhary/vgg19", "kernel_id": "11289999"}, {"ref": "bharatchoudhary/preprocessing", "kernel_id": "11300185"}, {"ref": "dullaz/ich-submitter", "kernel_id": "11447135"}, {"ref": "dullaz/ich-final-model", "kernel_id": "11450424"}, {"ref": "dullaz/fork-of-ich-training-metrics", "kernel_id": "11372559"}, {"ref": "dullaz/ich-training-backbones", "kernel_id": "11337268"}, {"ref": "dullaz/eda-and-graphing", "kernel_id": "11000598"}, {"ref": "dullaz/ich-training-windows", "kernel_id": "11284039"}, {"ref": "dullaz/haemorrhages-eda", "kernel_id": "11179001"}, {"ref": "alecalameddine/intracranial-hemorrhage-detection-classification", "kernel_id": "11292814"}, {"ref": "nohanomier/hemorrhage-detection-project", "kernel_id": "11975410"}, {"ref": "moeinshariatnia/segmenting-the-right-part-of-the-ct-with-opencv", "kernel_id": "12760426"}, {"ref": "yanghongzheng/prepare-dataset-resizing-and-saving-as-png", "kernel_id": "14660595"}, {"ref": "wasinphand/gan-practice", "kernel_id": "14075537"}, {"ref": "sirapassornjunpong/gan-practice", "kernel_id": "14712119"}, {"ref": "parinphatw/gan-practice", "kernel_id": "14081994"}, {"ref": "codeer/rsna-intracranial-inceptionv3", "kernel_id": "15056926"}, {"ref": "kiwipirate/loader-for-rsna-224", "kernel_id": "15768320"}, {"ref": "tinumaryrajan/resnet", "kernel_id": "15300764"}, {"ref": "talentedneha/inception-v3", "kernel_id": "15300352"}, {"ref": "talentedneha/rsna-ich", "kernel_id": "15270831"}, {"ref": "adimallya99/phase-ii-rsna-intracranial-haemorrhage-detection", "kernel_id": "16569250"}, {"ref": "jesdin/find-blank-images-in-dataset", "kernel_id": "16644061"}, {"ref": "stanbergey/capstone-full-model", "kernel_id": "16722530"}, {"ref": "kiwipirate/omvision-create-jpegs", "kernel_id": "16132437"}, {"ref": "zgrcemta/submitter-cem", "kernel_id": "16903869"}, {"ref": "zgrcemta/loader-for-rsna-65238b", "kernel_id": "16860776"}, {"ref": "huctrng/notebook56d83ba992", "kernel_id": "16680768"}, {"ref": "siddarthsuvarna/final-year-project", "kernel_id": "17918682"}, {"ref": "bcghost/prepare-dataset-resizing-and-saving-as-png", "kernel_id": "17044921"}, {"ref": "chjinny/rsna2019", "kernel_id": "17469906"}, {"ref": "mehdiyousefzadeh/intracranial-hemorrhage-efficientnetb2-keras", "kernel_id": "18325806"}, {"ref": "mehdiyousefzadeh/intracranial-hemorrhage-efficientnetb2-keras-v2", "kernel_id": "19104446"}, {"ref": "erikbiswas/rsna-3d", "kernel_id": "19630838"}, {"ref": "aftabhussaincui/ich-and-subtypes-detection-hybrid-resnet152v2", "kernel_id": "19721937"}, {"ref": "mahdiyu/usef-hemorrhage-effnetb2-abnor-v1", "kernel_id": "20672696"}, {"ref": "mahdiyu/intracranial-hemorrhage-efficientnetb2-keras-v3", "kernel_id": "20318440"}, {"ref": "mehdiyousefzadeh/intracranial-hemorrhage-efficientnetb2-v2-v2", "kernel_id": "20324863"}, {"ref": "mehdiyousefzadeh/intracranial-hemorrhage-seresnext50-v2", "kernel_id": "20300999"}, {"ref": "mehdiyousefzadeh/hemorrhage-effnetb2-abnor", "kernel_id": "20665125"}, {"ref": "fereshtej/rsna-abnormal-data-extraction", "kernel_id": "20785592"}, {"ref": "m123474/intracranial-hemorrhage-efficientnetb2-keras-v4", "kernel_id": "20319101"}, {"ref": "m123474/predict-hemorrhage-effnetb2-abnor", "kernel_id": "20714021"}, {"ref": "aftabhussaincui/dbxa-for-ich-detection", "kernel_id": "20191257"}, {"ref": "ctrlintelligencrcui/notebook634b8e5c27", "kernel_id": "20499493"}, {"ref": "blank13/ich-phase-3", "kernel_id": "21072933"}, {"ref": "fereshtej/stroke-normal-abnormal-binary-classification", "kernel_id": "21114935"}, {"ref": "fatemehghanadi/stroke-mobilenet-multi-classification", "kernel_id": "21832523"}, {"ref": "fatemehghanadi/stroke-mobilenet-binary-classification", "kernel_id": "21824592"}, {"ref": "fatemehghanadi/stroke-resnet18-binary-classification", "kernel_id": "21842380"}, {"ref": "fatemehghanadi/stroke-densenet121-binary-classification", "kernel_id": "21845432"}, {"ref": "fatemehghanadi/stroke-mobilenet-all-classes", "kernel_id": "21848332"}, {"ref": "kaidamti/phase-ii-rsna-intracranial-haemorrhage-detection", "kernel_id": "21442653"}, {"ref": "fatemehghanadi99/stroke-densenet121-all-classes-cq500", "kernel_id": "21956770"}, {"ref": "noussaons/multi-label-densenet169", "kernel_id": "22537196"}, {"ref": "noussaons/retraining-all-for-binary-model-resnet152v2", "kernel_id": "22370636"}, {"ref": "alshidhani/combined-model", "kernel_id": "22477127"}, {"ref": "aftabhussaincui/prepare-dataset-resizing-and-saving-as-png", "kernel_id": "22108966"}, {"ref": "computist/notebook0eb99b8223", "kernel_id": "22080354"}, {"ref": "naeem7789/single-branch", "kernel_id": "22641523"}, {"ref": "sleuth/meduni-ich-labeling", "kernel_id": "25327144"}, {"ref": "sleuth/meduni-ich-training", "kernel_id": "25331672"}, {"ref": "adimallya99/work-with-only-10k", "kernel_id": "26032135"}, {"ref": "adimallya99/phase-iii-rsna-intracranial-haemorrhage-detection", "kernel_id": "26738404"}, {"ref": "samanesharifi/phase-iii-rsna-intracranial-haemorrhage-detection", "kernel_id": "26940283"}, {"ref": "pedroamaro/smaller-ds", "kernel_id": "26615881"}, {"ref": "blank13/testing-epoch", "kernel_id": "27237991"}, {"ref": "atamazian/kaggle-rsna-ihd-usage-example-training", "kernel_id": "28580972"}, {"ref": "blank13/final-testing-rsna-intracranial-haemorrhage", "kernel_id": "28249284"}, {"ref": "adimallya99/final-testing-rsna-intracranial-haemorrhage", "kernel_id": "28127970"}, {"ref": "wubiaowindy/see-like-a-radiologist-with-systematic-windowing", "kernel_id": "29644057"}, {"ref": "krish45732/rsna-transfer-learning", "kernel_id": "30103063"}, {"ref": "samanesharifi/eda-view-dicom-images-with-correct-windowing", "kernel_id": "31628091"}, {"ref": "aftabhussaincui/work-with-only-10k", "kernel_id": "31962749"}, {"ref": "dursunipek/hemorrhage-detection-eda", "kernel_id": "31320220"}, {"ref": "dursunipek/exploring-dicom", "kernel_id": "31941993"}, {"ref": "samanesharifi/rsna-ih-detection-baseline", "kernel_id": "32941791"}, {"ref": "sauravsingh243/v9-original-file-ichcnn-svm-rf-base-paper", "kernel_id": "32528198"}, {"ref": "rafiaaa/eda-data-viz-rsna-intracranial-hemorrhage", "kernel_id": "32867858"}, {"ref": "josejose55/preprocesamiento-de-im-genes", "kernel_id": "32557643"}, {"ref": "samanesharifi/rsna-intracranial-brain-hemorrhage-using-deep-lear", "kernel_id": "33033578"}, {"ref": "samanesharifi/basic-eda-data-visualization", "kernel_id": "33032332"}, {"ref": "thutnguynhu/5th-place-solution-stacking-pipeline", "kernel_id": "33232843"}, {"ref": "pradeepkumar7661/phase-ii-rsna-intracranial-haemorrhage-detection", "kernel_id": "33668104"}, {"ref": "financekim/evaluation-of-ich-detection-model-from-scratch", "kernel_id": "33043899"}, {"ref": "dursunipek/hemorrhage-inceptionv3-prediction", "kernel_id": "33460276"}, {"ref": "imrantaurus2003/notebook1d7dba7905", "kernel_id": "34076226"}, {"ref": "psyiantist/intracranial-hemorrhage-detection-eda-resnet50", "kernel_id": "36792601"}, {"ref": "louisgv/rsna-intracranial-hemorrhage-eda-base-resnet50", "kernel_id": "36074797"}, {"ref": "sahildhiman1013/intracranial-hemorrhage-detection-eda-resnet50", "kernel_id": "38796122"}, {"ref": "anisarahmalina/bip-intracranial-hemorrhage-detection", "kernel_id": "40269546"}, {"ref": "anisarahmalina/bip-identification-of-intracranial-hemorrhage", "kernel_id": "40287937"}, {"ref": "derekxue/rsna-metadatafastai", "kernel_id": "41160430"}, {"ref": "ahmtdmr/syz-v1", "kernel_id": "42814831"}, {"ref": "abdullahtanzeel/store-dicom-images-directly-to-gcp-storage-bucket", "kernel_id": "42817822"}, {"ref": "amancodes/basic-eda-data-visualization", "kernel_id": "45306987"}, {"ref": "shahdhashim/detecting-ih", "kernel_id": "45976486"}, {"ref": "shahdhashim/ih-detection", "kernel_id": "45519389"}, {"ref": "melisaarukgoda/no5-5-11am", "kernel_id": "45671986"}, {"ref": "chamodshyamal/notebook1fd91bde86", "kernel_id": "45102280"}, {"ref": "rushenhansana/brain-haemoragenew", "kernel_id": "45126087"}, {"ref": "drnykterstein0/get-small-subset-of-original-dataset", "kernel_id": "46085333"}, {"ref": "yujiaxing/my-work-in-head-ct", "kernel_id": "46604597"}, {"ref": "drnykterstein0/training-try-291073", "kernel_id": "47600300"}, {"ref": "siddhantbhatta/major-project", "kernel_id": "48671995"}, {"ref": "mohmujeeb/rsna-intracranial-hemorrhage-detection", "kernel_id": "49056854"}, {"ref": "rabindrajoshi/major-project-ich-classification-me", "kernel_id": "50154117"}, {"ref": "rabindrajoshi/new-major", "kernel_id": "50017486"}, {"ref": "rabindrajoshi/gradcam-hemorrhage", "kernel_id": "50140735"}, {"ref": "zoibazia/ensemble-learning-for-ich", "kernel_id": "50614862"}, {"ref": "anavan/dataloading-tutorial", "kernel_id": "51922024"}, {"ref": "mukulmisra/inception", "kernel_id": "51162293"}, {"ref": "amirmohammadparvizi/identify-acute-intracranial-hemorrhage", "kernel_id": "51486463"}, {"ref": "mukulmisra/res-inceptionv1", "kernel_id": "52306800"}, {"ref": "mukulmisra/res-inceptionv2", "kernel_id": "52345513"}, {"ref": "umeshbilagi/aster-ich", "kernel_id": "52099082"}, {"ref": "amancodes/pretrained-models", "kernel_id": "55885770"}, {"ref": "anoopat/cnn-intracranial-hemorrhage-detection", "kernel_id": "56704984"}, {"ref": "andreemungi/tesis-listo", "kernel_id": "62325669"}, {"ref": "manoshschoudhury/ich-enhancement-rsna", "kernel_id": "65754914"}, {"ref": "charishmaseera/bip-identification-of-intracranial-hemorrhage", "kernel_id": "68871292"}, {"ref": "charishmaseera/rsna-inth", "kernel_id": "72540559"}, {"ref": "barisbgl/notebookf118015445", "kernel_id": "72451897"}, {"ref": "zhangbuud/sushen-bert4keras-py36-tf1-14-keras2-3-1", "kernel_id": "73402807"}, {"ref": "vyacheslavshen/rsna-2019-eda-preparing-3d-datasets", "kernel_id": "74148645"}, {"ref": "gokulgopakumarsnair/fl-iomt", "kernel_id": "77922625"}, {"ref": "theghost963/rsna-introduction-eda-models", "kernel_id": "77333417"}, {"ref": "gokulgopakumarsnair/21ug152", "kernel_id": "78186960"}, {"ref": "ahmedsaidkl/rsna-intracranial-hemorrhage-detection-edit", "kernel_id": "78862332"}, {"ref": "wym1123/multi-label-classification", "kernel_id": "81774490"}, {"ref": "kyle1628/multi-label-classification", "kernel_id": "81699980"}, {"ref": "tamashalasi/create-cropped-image-dataset", "kernel_id": "81837389"}, {"ref": "samanesharifi/freezeresnet-preprocessing", "kernel_id": "84874513"}, {"ref": "geleshchrist/savebrainwindow", "kernel_id": "87411703"}, {"ref": "babydriver1233/brain-diagnosis-using-dinov3-sam2", "kernel_id": "91482218"}, {"ref": "fatemahalipour/rsna-try1", "kernel_id": "92079278"}, {"ref": "namandesai/3d-rsna-dataset-creator", "kernel_id": "94020596"}, {"ref": "khangtun12/rsna-hermorrhage", "kernel_id": "94713627"}, {"ref": "muhammedkeremdemir/rsna-veri-cekme", "kernel_id": "94467098"}, {"ref": "mrunalikareddyp/braingnn-kg-latest-2", "kernel_id": "101553060"}, {"ref": "mrunalikareddyp/hi-gcn-kg-latest", "kernel_id": "101549568"}, {"ref": "learningcoder/test-by-dcm", "kernel_id": "101279136"}, {"ref": "mrunalikareddyp/dgcn-kg-latest-2", "kernel_id": "103520647"}, {"ref": "mrunalikareddyp/gate-kg", "kernel_id": "103522266"}, {"ref": "nirmalgaud/multi-label-classification-rsna-1", "kernel_id": "104755323"}, {"ref": "nirmalgaud/multi-label-classification-rsna", "kernel_id": "104638462"}, {"ref": "mrunalikareddyp/gcn-model", "kernel_id": "104163807"}, {"ref": "mrunalikareddyp/dgat-kg", "kernel_id": "104291509"}, {"ref": "mrunalikareddyp/datnet-kg", "kernel_id": "104057582"}, {"ref": "mrunalikareddyp/dgpmil-model", "kernel_id": "104101017"}, {"ref": "mrunalikareddyp/dksage-net", "kernel_id": "104295674"}, {"ref": "mrunalikareddyp/agcl-model-final", "kernel_id": "104306744"}, {"ref": "qkrxodms/keras-efficientnetb4-for-intracranial-hemor-a59743", "kernel_id": "104287851"}, {"ref": "nirmalgaud/multi-label-classification-rsna-2", "kernel_id": "105106532"}, {"ref": "tsaipradyumna/automated-hemorrhage-triage", "kernel_id": "105549987"}, {"ref": "brianhenricus/notebook38cb050240", "kernel_id": "106002761"}, {"ref": "tomaszslapczynski/1medgemma-agent-autonomous-radiology-fhir-int", "kernel_id": "107208371"}, {"ref": "raghavgarg000/sharma-payal-ka-pyaar", "kernel_id": "109332892"}, {"ref": "harshitghosh/03nbeda", "kernel_id": "109981997"}, {"ref": "harshitghosh/04neba", "kernel_id": "109990856"}, {"ref": "harshitghosh/01eda", "kernel_id": "109959027"}, {"ref": "harshitghosh/nb02eda", "kernel_id": "109971159"}, {"ref": "tomaszslapczynski/2medgemma-agent-autonomous-radiology-f", "kernel_id": "109833946"}, {"ref": "harshitghosh/07-report", "kernel_id": "110111217"}, {"ref": "harshitghosh/06-calibration", "kernel_id": "110062830"}, {"ref": "harshitghosh/05-gradcam", "kernel_id": "110058137"}, {"ref": "haithamalshari/build-hemseg-500-dataset", "kernel_id": "111573735"}, {"ref": "obaidullahmiakhil/deep-learning-project-ich", "kernel_id": "111205389"}, {"ref": "tanyachopra28/multi-label-densenet169", "kernel_id": "111635407"}, {"ref": "tanyachopra28/multi-label-classification-rsna-1-bf17f1", "kernel_id": "111957391"}, {"ref": "ekechukwudi/neurograd-prototype", "kernel_id": "113061811"}, {"ref": "ahmedhamadasasda/project", "kernel_id": "114514103"}, {"ref": "omarshwareb/project", "kernel_id": "115290488"}, {"ref": "hiziakherroubi/notebookd5d32e1c0c", "kernel_id": "115162087"}, {"ref": "exhume/brainaudit", "kernel_id": "115564262"}, {"ref": "haithamalshari/rsna-derived-normal-ct-masks", "kernel_id": "116183721"}, {"ref": "xgilleroyunzaman/notebook6374df4eb8", "kernel_id": "116500111"}, {"ref": "ganavike/vautopsy", "kernel_id": "118618912"}, {"ref": "nikhithars/vautopsy", "kernel_id": "118774149"}, {"ref": "ren4gg/rsna2019-intracranial-hemorrhage-detection", "kernel_id": "118461643"}, {"ref": "anushakirand/vautopsy", "kernel_id": "118898515"}, {"ref": "anushakirand/rsna-intracranial-resnet", "kernel_id": "118936520"}, {"ref": "hamzazaroual11/notebook-hamza-zaroual-pm-tpa", "kernel_id": "125115535"}, {"ref": "anushakirand/pleasework", "kernel_id": "126952016"}, {"ref": "anushakirand/naegative", "kernel_id": "127284542"}, {"ref": "anushakirand/resnet", "kernel_id": "127877921"}, {"ref": "ganavike/v-i-t", "kernel_id": "128445014"}, {"ref": "anushakirand/resmnetplease", "kernel_id": "128080792"}, {"ref": "anushakirand/vitaplease", "kernel_id": "128476764"}, {"ref": "anushakirand/convnextpleasee", "kernel_id": "128885014"}, {"ref": "hahammad01/notebookdf28298c7d", "kernel_id": "129604034"}, {"ref": "leenanoor/notebookdf28298c7d", "kernel_id": "130612660"}, {"ref": "mohim19/brain-stroke-v6", "kernel_id": "134008627"}, {"ref": "metehankayaaaa/notebook690d39a4e4", "kernel_id": "134473957"}, {"ref": "arfanadeem123/brain-hemorrhage", "kernel_id": "136410904"}]}
{"competition_id": "13457", "kernels": [{"ref": "sandeeppat/samudra-manthan-submission", "kernel_id": "3264046"}, {"ref": "kdagiitkgp/starter-code", "kernel_id": "3193631"}]}
{"competition_id": "13458", "kernels": []}
{"competition_id": "13471", "kernels": []}
{"competition_id": "13481", "kernels": []}
{"competition_id": "13482", "kernels": []}
{"competition_id": "13485", "kernels": []}
{"competition_id": "13498", "kernels": []}
{"competition_id": "13503", "kernels": [{"ref": "lemonkoala/cipher-difficulty-1-solution", "kernel_id": "3653811"}, {"ref": "group16/cracking-the-code-difficulty-1", "kernel_id": "3487333"}, {"ref": "group16/cracking-the-code-difficulty-3", "kernel_id": "3534506"}, {"ref": "bsteenwi/cracking-the-code-difficulty-2", "kernel_id": "3533640"}, {"ref": "junkoda/finding-a-pattern-in-difficulty-2", "kernel_id": "3465510"}, {"ref": "kaggleuser58/how-to-get-started-with-level-4", "kernel_id": "3477479"}, {"ref": "maxlincoln/circuitos-digitais-2", "kernel_id": "3675203"}, {"ref": "jazivxt/difficulty-2", "kernel_id": "3441299"}, {"ref": "jazivxt/the-crypto-keeper", "kernel_id": "3405784"}, {"ref": "jshen97/a-glance-to-ciphertext-level-4", "kernel_id": "3405825"}, {"ref": "qaziahmed/qaziahmedpaper", "kernel_id": "4473332"}, {"ref": "qaziahmed/the-crypto-keeper", "kernel_id": "4475385"}, {"ref": "ahmedehsan1993/aiproject", "kernel_id": "4652012"}, {"ref": "shrushtijoshi/cipher-text-difficulty-1", "kernel_id": "57305106"}]}
{"competition_id": "13512", "kernels": [{"ref": "guitaricet/neural-network-baseline", "kernel_id": "3233444"}, {"ref": "guitaricet/linear-models-baseline", "kernel_id": "3233122"}]}
{"competition_id": "13518", "kernels": [{"ref": "kwaito/heartdiseaseprediction", "kernel_id": "18654574"}]}
{"competition_id": "13531", "kernels": [{"ref": "michiexile/teacher-version", "kernel_id": "3302816"}]}
{"competition_id": "13549", "kernels": [{"ref": "dromosys/movie-review-classify-baseline", "kernel_id": "3249769"}]}
{"competition_id": "13552", "kernels": [{"ref": "alpamys/example-of-how-to-do", "kernel_id": "3255298"}, {"ref": "kusbek1994/bekarys-kuspan-solution", "kernel_id": "3264817"}, {"ref": "einerr/anargul-kuanysh-solution", "kernel_id": "3363116"}]}
{"competition_id": "13558", "kernels": []}
{"competition_id": "13562", "kernels": []}
{"competition_id": "13565", "kernels": []}
{"competition_id": "13566", "kernels": [{"ref": "rahulpawade/fair-classification-by-xgboost", "kernel_id": "11369126"}]}
{"competition_id": "13567", "kernels": []}
{"competition_id": "13574", "kernels": [{"ref": "fogside/baseline-solution", "kernel_id": "3342264"}]}
{"competition_id": "13576", "kernels": [{"ref": "garipov/sample", "kernel_id": "3270843"}, {"ref": "blackdar/kostin-soloveva-davletshina-1", "kernel_id": "3270974"}, {"ref": "ke1604siv75/semenov-lab1", "kernel_id": "3861601"}]}
{"competition_id": "13578", "kernels": [{"ref": "anokas/kuzushiji-visualisation", "kernel_id": "4882063"}, {"ref": "anokas/kuzushiji-modified-f-1-score", "kernel_id": "4888248"}, {"ref": "nubatama/show-and-check-image-data-simple-impression", "kernel_id": "4914969"}, {"ref": "rio114/extraction-each-character", "kernel_id": "4932026"}, {"ref": "arisjayandrana/re-structure-the-training-set", "kernel_id": "4915650"}, {"ref": "vbookshelf/quick-viewer", "kernel_id": "4999610"}, {"ref": "seriousran/try-to-break-0", "kernel_id": "4911454"}, {"ref": "cedna198/kuzushiji-recognition", "kernel_id": "4903237"}, {"ref": "wakamezake/kuzushiji-eda", "kernel_id": "4909601"}, {"ref": "wakamezake/kuzushiji-pytorch-data-preprocessing", "kernel_id": "4888802"}, {"ref": "rupeshs/eda-starter", "kernel_id": "4894453"}, {"ref": "basu369victor/kuzushiji-recognition-just-like-digit-recognition", "kernel_id": "4926271"}, {"ref": "kaeldric/kuzushiji-images-just-for-fun", "kernel_id": "4954699"}, {"ref": "christianwallenwein/visualization-useful-functions-small-eda", "kernel_id": "4964130"}, {"ref": "hedibendaoud/data-exploration", "kernel_id": "4894240"}, {"ref": "chizuchizu/japanese-take-characters-from-an-image", "kernel_id": "4936461"}, {"ref": "gtownfoster/keras-preprocessing", "kernel_id": "4936416"}, {"ref": "jesucristo/kuzushiji-recognition-complete-guide", "kernel_id": "4912407"}, {"ref": "banzaibanzer/applying-ben-s-preprocessing", "kernel_id": "4946217"}, {"ref": "marvin42/clean-images", "kernel_id": "5046242"}, {"ref": "rio114/order-charactors-by-clustering-columns", "kernel_id": "5254624"}, {"ref": "sumanthmeenan/kuzushiji-recognition", "kernel_id": "5645828"}, {"ref": "latimerb/kuzushiji-visualization-masking", "kernel_id": "5109318"}, {"ref": "namgalielei/kuzushiji-data-analysis", "kernel_id": "5014676"}, {"ref": "henry32144/kuzushiji-cropimage", "kernel_id": "5984394"}, {"ref": "kenichisasaki/anotation-visualization", "kernel_id": "5747177"}, {"ref": "diamondsnake/kuzushiji-recognition-faster-r-cnn", "kernel_id": "5899487"}, {"ref": "hocop1/unet-character-detector", "kernel_id": "5699265"}, {"ref": "guillermoch/kuzuhiji-visualization-and-eda", "kernel_id": "5660230"}, {"ref": "basu369victor/submission-for-kuzushiji-recognition", "kernel_id": "5341271"}, {"ref": "misterion777/kuzusuhiji", "kernel_id": "5244173"}, {"ref": "talmanr/pytorch-yolo-like-net", "kernel_id": "5527309"}, {"ref": "christianwallenwein/fastest-way-to-crop-all-images", "kernel_id": "5309722"}, {"ref": "jute0311/kuzushiji-visualisation-and-feature-engineering", "kernel_id": "5220221"}, {"ref": "adin726/data-visualization-and-eda", "kernel_id": "5796117"}, {"ref": "koushikcon/kuzushiji-recognition-using-deep-learning", "kernel_id": "5961133"}, {"ref": "frlemarchand/kuzushiji-page-generator", "kernel_id": "5760940"}, {"ref": "frlemarchand/keras-maskrcnn-kuzushiji-recognition", "kernel_id": "5029482"}, {"ref": "kmat2019/centernet-keypoint-detector", "kernel_id": "5157970"}, {"ref": "sidhanthholalkere/how-to-create-yolo-labels", "kernel_id": "5049982"}, {"ref": "infhyroyage/create-pytorch-dataset-for-classifying-characters", "kernel_id": "5430949"}, {"ref": "hanmingliu/denoising-ben-s-preprocessing-better-clarity", "kernel_id": "5106262"}, {"ref": "pr1c3f1eld/data-cleaning-and-pre-processing", "kernel_id": "5652027"}, {"ref": "walidslim/kuzushiji", "kernel_id": "5042720"}, {"ref": "robolamp/kuzushiji-2-bw-images", "kernel_id": "6408242"}, {"ref": "hatemalamir/kuzushiji-recognition-cnn", "kernel_id": "6083717"}, {"ref": "kozkiuay/centernet-step2", "kernel_id": "6080386"}, {"ref": "shingo405/kuzushizi-recog-sample", "kernel_id": "7980730"}, {"ref": "marianglibeltran/proyecto-1-mariangli-b-diego-s-compem", "kernel_id": "12769419"}, {"ref": "enforcer007/fast-ai-comp", "kernel_id": "13072656"}, {"ref": "trnguynvit/centernet-keypoint-detector", "kernel_id": "17749605"}, {"ref": "ashest/notebookf88d69432f", "kernel_id": "31433150"}, {"ref": "yichenyuerchen/centernet-keypoint-detector", "kernel_id": "54667595"}, {"ref": "engamohammed/kuzushiji-recognition-using-yolo", "kernel_id": "56619911"}, {"ref": "darshanpatel11/notebookd68ad56c6c", "kernel_id": "94802630"}]}
{"competition_id": "13579", "kernels": []}
{"competition_id": "13599", "kernels": []}
{"competition_id": "13601", "kernels": []}
{"competition_id": "13604", "kernels": [{"ref": "joheras/env-o", "kernel_id": "3286363"}]}
{"competition_id": "13606", "kernels": [{"ref": "vlasoff/understanding-data", "kernel_id": "3284967"}, {"ref": "keleas/baseline", "kernel_id": "3286187"}, {"ref": "kpotoh/keras-for-binary-classification", "kernel_id": "4172389"}]}
{"competition_id": "13610", "kernels": []}
{"competition_id": "13611", "kernels": []}
{"competition_id": "13620", "kernels": []}
{"competition_id": "13621", "kernels": []}
{"competition_id": "13634", "kernels": []}
{"competition_id": "13639", "kernels": []}
{"competition_id": "13640", "kernels": [{"ref": "liuxiaomin/dpnnet", "kernel_id": "3592800"}]}
{"competition_id": "13646", "kernels": []}
{"competition_id": "13658", "kernels": []}
{"competition_id": "13660", "kernels": []}
{"competition_id": "13662", "kernels": []}
{"competition_id": "13663", "kernels": [{"ref": "tahsin/ifood-2019-fast-ai-implementation", "kernel_id": "4462704"}, {"ref": "marlesson/autoencoder-embedding-for-food", "kernel_id": "4018279"}, {"ref": "joelfelipe/ifood-exploration-data", "kernel_id": "23806049"}, {"ref": "iambashar/food-250-inception-v3", "kernel_id": "30140520"}, {"ref": "mdwasiffuadkhan/capstone", "kernel_id": "35100135"}, {"ref": "mdwasiffuadkhan/foodx-251-trained-with-resnet", "kernel_id": "35906385"}, {"ref": "ikratasnimrimi/final-inceptionv3", "kernel_id": "35057172"}, {"ref": "soydanm/image-classification", "kernel_id": "58496159"}, {"ref": "buse98/supervised-food", "kernel_id": "59908474"}, {"ref": "simonazlatanova/notebook2f55fdf770", "kernel_id": "85282010"}]}
{"competition_id": "13669", "kernels": []}
{"competition_id": "13670", "kernels": [{"ref": "jfcifuentesg/exploraci-n-b-sica-de-los-datos-y-modelo-stepwise", "kernel_id": "3420967"}]}
{"competition_id": "13671", "kernels": [{"ref": "kamaljitgrewal/cnn-image-classifier-for-fashion-authenticity", "kernel_id": "47369945"}]}
{"competition_id": "13675", "kernels": [{"ref": "vingkan/demo-notebook", "kernel_id": "3339266"}, {"ref": "rfelizomni/baseline", "kernel_id": "3367243"}, {"ref": "rfelizomni/association-rule-mining", "kernel_id": "3360572"}, {"ref": "rfelizomni/singular-value-decomposition", "kernel_id": "3358512"}]}
{"competition_id": "13676", "kernels": [{"ref": "paulmd95/kernel864eadc300", "kernel_id": "3344309"}]}
{"competition_id": "13690", "kernels": []}
{"competition_id": "13691", "kernels": [{"ref": "kashnitsky/clickbait-news-detection-ulmfit-starter", "kernel_id": "3658219"}, {"ref": "kashnitsky/eda-logit-tf-idf-starter", "kernel_id": "3653417"}, {"ref": "protan/ignite-example", "kernel_id": "3687657"}, {"ref": "guitaricet/cnn-baseline", "kernel_id": "3642582"}, {"ref": "mamamot/ulmfit-the-first-place-solution", "kernel_id": "3653410"}, {"ref": "xie186/ulmfit-the-first-place-solution", "kernel_id": "3747162"}]}
{"competition_id": "13717", "kernels": [{"ref": "navya104/kernel312318e9c7", "kernel_id": "3363037"}]}
{"competition_id": "13720", "kernels": []}
{"competition_id": "13722", "kernels": []}
{"competition_id": "13733", "kernels": []}
{"competition_id": "13741", "kernels": []}
{"competition_id": "13746", "kernels": []}
{"competition_id": "13747", "kernels": [{"ref": "macaodha/basic-inat2019-data-exploration", "kernel_id": "3460080"}, {"ref": "alainminda/kernel11ab6576ac", "kernel_id": "3891495"}, {"ref": "hsinwenchang/keras-data-augmentation-visualize", "kernel_id": "3776481"}, {"ref": "hsinwenchang/keras-mobilenet-data-augmentation-visualize", "kernel_id": "3828434"}, {"ref": "chrisevans/kernelfea8793d3e", "kernel_id": "3867828"}, {"ref": "lowecoryr/learn-from-other-kernels-fork-from-me", "kernel_id": "3792656"}, {"ref": "khursani8/fast-ai-ootb-cutout-efficientnet", "kernel_id": "3844015"}, {"ref": "ateplyuk/inat2019-starter-keras-efficientnet", "kernel_id": "3507526"}, {"ref": "sujoykg/xception-keras", "kernel_id": "3600727"}, {"ref": "interneuron/previous-benchmark-in-a-kernel-v0-0-0", "kernel_id": "3457175"}, {"ref": "cedriclacrambe/inaturalist-xception-512", "kernel_id": "3544535"}, {"ref": "feichin/inception3-last-years-baseline", "kernel_id": "3521453"}, {"ref": "praxitelisk/inaturalist-2019-eda-dl", "kernel_id": "4027008"}, {"ref": "jas10022/cnn-hypernetwork", "kernel_id": "4214611"}, {"ref": "hedibendaoud/efficientnet-keras", "kernel_id": "4353077"}, {"ref": "s3chwartz/aerial-cactus-identification", "kernel_id": "4111939"}, {"ref": "s3chwartz/inaturalist-2019-at-fgvc6", "kernel_id": "4117915"}, {"ref": "byhwdy/inat-utils", "kernel_id": "5612890"}, {"ref": "quangthebeast/train-model", "kernel_id": "85432450"}, {"ref": "mnhlfuch/computer-vision-midtern-yolov8", "kernel_id": "114444927"}]}
{"competition_id": "13751", "kernels": []}
{"competition_id": "13767", "kernels": []}
{"competition_id": "13769", "kernels": []}
{"competition_id": "13770", "kernels": []}
{"competition_id": "13771", "kernels": [{"ref": "woxiangshangtian/starter-notebook", "kernel_id": "3391956"}, {"ref": "vingkan/starter-notebook", "kernel_id": "3390764"}, {"ref": "vjstark/starter-notebook", "kernel_id": "3392226"}, {"ref": "chintanpatel2634/starter-notebook", "kernel_id": "3392376"}, {"ref": "nabaci/starter-notebook-bdedc1", "kernel_id": "3392766"}, {"ref": "devyanigauri/starter-notebook-481928", "kernel_id": "3392818"}, {"ref": "divyanshukalola/starter-notebook", "kernel_id": "3392080"}, {"ref": "sunnymodi21/starter-notebook", "kernel_id": "3391996"}, {"ref": "jialiangwu/starter-notebook", "kernel_id": "3392016"}, {"ref": "aesiely/starter-notebook", "kernel_id": "3392375"}]}
{"competition_id": "13772", "kernels": []}
{"competition_id": "13773", "kernels": [{"ref": "ll490187880/download-dataset-from-json-py3", "kernel_id": "3462449"}, {"ref": "reacherone/download-dataset-from-json-py3", "kernel_id": "3469378"}, {"ref": "visualcomments/webinar-07-cv", "kernel_id": "117965101"}]}
{"competition_id": "13781", "kernels": []}
{"competition_id": "13785", "kernels": [{"ref": "jfcifuentesg/cargue-archivos-y-balanceo", "kernel_id": "3520329"}]}
{"competition_id": "13786", "kernels": [{"ref": "hlbgds/prueba", "kernel_id": "3403943"}, {"ref": "hlbgds/fork-of-prueba", "kernel_id": "3403979"}]}
{"competition_id": "13788", "kernels": []}
{"competition_id": "13795", "kernels": []}
{"competition_id": "13800", "kernels": []}
{"competition_id": "13801", "kernels": [{"ref": "snu5mumr1k/visit-s-day-of-week-prediction", "kernel_id": "3711797"}, {"ref": "shoroh/gru-model", "kernel_id": "3592507"}, {"ref": "trubor/max-probability-of-first-appearance-in-the-week", "kernel_id": "3624998"}, {"ref": "solesensei/dayofweek", "kernel_id": "3615531"}, {"ref": "zamony/pubkernel", "kernel_id": "3628342"}, {"ref": "hiddenw/solution-weighted-scheme-with-recalculation", "kernel_id": "3600253"}, {"ref": "gmoryes/kernel7b64fbe2a4", "kernel_id": "3618395"}, {"ref": "alexbuchkin/probabilities-product", "kernel_id": "3619809"}, {"ref": "trifonov97/basic-conditional-predictions", "kernel_id": "3614574"}, {"ref": "semakvlad/kernel", "kernel_id": "3619999"}, {"ref": "aaaram/visit-kernel", "kernel_id": "3638951"}, {"ref": "heathherxx/task2", "kernel_id": "3628115"}, {"ref": "stepanovaev/kernel597ae03d59", "kernel_id": "3632984"}, {"ref": "stepanovaev/kernel910716c86c", "kernel_id": "3645784"}, {"ref": "anyabelle/kernel958d81a36d", "kernel_id": "3650171"}, {"ref": "anyabelle/kerneleab64919ad", "kernel_id": "3650090"}, {"ref": "alexkh/solution", "kernel_id": "3624486"}, {"ref": "alvadia/publickernel-vzs", "kernel_id": "3544672"}, {"ref": "asnatss/homework", "kernel_id": "3507966"}, {"ref": "bolotnikov/almost-weighted-mode", "kernel_id": "3618746"}, {"ref": "fedorniskov/kernel31660446e2", "kernel_id": "3629946"}, {"ref": "nagvv0/kernelc0b6e13be5", "kernel_id": "3624378"}, {"ref": "forestbear/mode-visits-prediction", "kernel_id": "3630119"}, {"ref": "adavletov/public-kernel-daa", "kernel_id": "3627749"}, {"ref": "alexhonor/homework2", "kernel_id": "3628486"}, {"ref": "yuliavslv/publickernel-visits", "kernel_id": "3620320"}, {"ref": "mayaglushchenko/daypred", "kernel_id": "3628588"}, {"ref": "amiriya/test-kernel-py", "kernel_id": "3628165"}, {"ref": "tutushkinart/homework5", "kernel_id": "3644643"}, {"ref": "mpodos/kernelf51498cf91", "kernel_id": "3630064"}, {"ref": "max101101/publickernel-smu", "kernel_id": "3601876"}, {"ref": "blazzen/kernel6c25083c48", "kernel_id": "3617906"}, {"ref": "fedorivachev/last-pred", "kernel_id": "3629793"}, {"ref": "qeqerr/actually-not-cool-kernel", "kernel_id": "3633033"}, {"ref": "alasendel/visits-day", "kernel_id": "3642555"}, {"ref": "sokks1/weighted-with-powers", "kernel_id": "3619876"}, {"ref": "vkingoff/last-vizit-day-fin", "kernel_id": "3601544"}, {"ref": "woolfi/kernele419bbd89e", "kernel_id": "3622821"}, {"ref": "sergeyborzov/weightequalsweeknumberplusrecalculation", "kernel_id": "3619015"}, {"ref": "psyrbin/kernelc15a2089d4", "kernel_id": "3636995"}, {"ref": "marinasin19/kernelfb8ee161d1", "kernel_id": "3646573"}, {"ref": "masstran/mldb-solution-bad", "kernel_id": "3627572"}, {"ref": "masstran/this-was-supposed-to-be-a-notebook", "kernel_id": "3627187"}, {"ref": "masstran/mldb-solution", "kernel_id": "3627473"}, {"ref": "lexsus/simple-code", "kernel_id": "3629609"}, {"ref": "alla13dorofeeva/visit-day", "kernel_id": "3641734"}, {"ref": "dkrasichkova/publickernel-kds", "kernel_id": "3652961"}, {"ref": "dkrasichkova/kernel93b64b5932", "kernel_id": "3652878"}, {"ref": "user1722/kernel39a5c1ab5f", "kernel_id": "3661136"}, {"ref": "asukhova8/visits-kaggle2", "kernel_id": "3649677"}, {"ref": "serggor98/kernela94039ef52", "kernel_id": "3606931"}, {"ref": "akhmadeevildar/kernel-aii-py", "kernel_id": "3629765"}, {"ref": "pvlkhn/mldm-task2", "kernel_id": "3624935"}, {"ref": "vkurilin/kernelea1874f4e6", "kernel_id": "3643238"}, {"ref": "vkurilin/lol-kek-jsoncheg", "kernel_id": "3629902"}, {"ref": "vkurilin/kernel6d9ca2b066", "kernel_id": "3630262"}, {"ref": "elizabetta/kernel949a103f80", "kernel_id": "3643319"}, {"ref": "mourvan/mykern", "kernel_id": "3650984"}, {"ref": "qrnkorneeva/visit", "kernel_id": "3629325"}, {"ref": "kapant/my-script", "kernel_id": "3596328"}]}
{"competition_id": "13807", "kernels": []}
{"competition_id": "13811", "kernels": [{"ref": "annasholokhova/spam-tweets-detection", "kernel_id": "37086564"}, {"ref": "samrat12/ukti-tweet", "kernel_id": "56317874"}]}
{"competition_id": "13814", "kernels": []}
{"competition_id": "13815", "kernels": []}
{"competition_id": "13826", "kernels": []}
{"competition_id": "13827", "kernels": []}
{"competition_id": "13836", "kernels": [{"ref": "reighns/tutorial-on-machine-learning-metrics", "kernel_id": "7073396"}, {"ref": "keithhaha/test01", "kernel_id": "7857397"}, {"ref": "elvinagammed/tpu-flower-classification-resnet", "kernel_id": "11448113"}, {"ref": "konradb/resized-images", "kernel_id": "12984878"}, {"ref": "krishnakalyan3/cassava-leaf-disease-classification-fastai-2-0", "kernel_id": "12998753"}, {"ref": "prakashpvss/pytorch-lightning-inf", "kernel_id": "12995571"}, {"ref": "praveengovi/cassava-disease-classification-eda-b-model", "kernel_id": "12986595"}, {"ref": "nakajima/duplicate-train-images", "kernel_id": "12990238"}, {"ref": "aayush26/autogluon-starter-cassava-leaf-classification", "kernel_id": "12998951"}, {"ref": "sandy1112/one-leaf-at-a-time-eda-and-baseline-submission", "kernel_id": "12987848"}, {"ref": "vfomenko/keras-baseline", "kernel_id": "12998229"}, {"ref": "tanlikesmath/cassava-classification-eda-fastai-starter", "kernel_id": "12985935"}, {"ref": "tiandaye/cldc-pytorch-lightning-baseline-trian", "kernel_id": "12991200"}, {"ref": "aneeshaaschowdhry/fastai-solution-by-a-noob", "kernel_id": "12989692"}, {"ref": "isaienkov/cassava-leaf-disease-classification-data-analysis", "kernel_id": "12984724"}, {"ref": "lwendo/very-simple-notebook-keras-densenet-gpu", "kernel_id": "12985644"}, {"ref": "arunjayan/cassava-dataset-eda", "kernel_id": "12987227"}, {"ref": "pestipeti/cassava-pytorch-starter-train", "kernel_id": "12990224"}, {"ref": "pestipeti/cassava-pytorch-starter-inference", "kernel_id": "12994659"}, {"ref": "pestipeti/eda-cassava-leaf-disease-classification", "kernel_id": "12991662"}, {"ref": "anubhav1302/plantdisease-efn", "kernel_id": "12989171"}, {"ref": "tahsin/leaf-disease-classification-with-resnet34-train", "kernel_id": "12992637"}, {"ref": "josephsha/cassava-leaf-disease-classification-tf", "kernel_id": "12993080"}, {"ref": "khyeh0719/pytorch-efficientnet-baseline-inference-tta", "kernel_id": "12991733"}, {"ref": "khyeh0719/pytorch-efficientnet-baseline-train-amp-aug", "kernel_id": "12986471"}, {"ref": "ihelon/cassava-leaf-disease-exploratory-data-analysis", "kernel_id": "12984461"}, {"ref": "thedrcat/cassava-fastai-starter", "kernel_id": "12988162"}, {"ref": "aleksandradeis/cassava-leaf-disease-classification-eda", "kernel_id": "12990436"}, {"ref": "yasufuminakama/cassava-resnext50-32x4d-starter-training", "kernel_id": "12992314"}, {"ref": "yasufuminakama/cassava-resnext50-32x4d-starter-inference", "kernel_id": "12996419"}, {"ref": "fanbyprinciple/fastai-v4-pipeline", "kernel_id": "12988196"}, {"ref": "bjoernjostein/cassava-leaf-disease-classification-using-tf", "kernel_id": "12991479"}, {"ref": "zzy990106/pytorch-efficientnet-baseline", "kernel_id": "12989301"}, {"ref": "itsuki9180/efficientnet-and-cutmixup-with-tpu-train-phase", "kernel_id": "12990204"}, {"ref": "muellerzr/cassava-fastai-starter", "kernel_id": "12998967"}, {"ref": "fireheart7/cassava-metadata-preparation", "kernel_id": "12992347"}, {"ref": "fireheart7/nosedive-eda-cum-image-processing", "kernel_id": "12988482"}, {"ref": "ameya98/cassava-leaf-disease", "kernel_id": "12987469"}, {"ref": "spidermandance/resize-tfrecords-and-jpeg", "kernel_id": "12995220"}, {"ref": "frlemarchand/efficientnet-aug-tf-keras-for-cassava-diseases", "kernel_id": "12984721"}, {"ref": "kmat2019/cycle-gan-to-enlarge-training-data", "kernel_id": "12995637"}, {"ref": "redwankarimsony/cassava-leaf-disease-classification-tpu-train", "kernel_id": "12988281"}, {"ref": "vanvalkenberg/cassava-leaf-disease-classification-v16", "kernel_id": "12997503"}, {"ref": "nicholasjhana/cassava-leaf-disease-eda-training", "kernel_id": "12999872"}, {"ref": "drcapa/cassava-leaf-disease-classification-starter-keras", "kernel_id": "12984353"}, {"ref": "zaber666/efficientnet-b4-with-mixup-train-baseline", "kernel_id": "12999951"}, {"ref": "shivanandmn/cassava-leaf-disease-clf-understanding-dataset", "kernel_id": "12986084"}, {"ref": "shivanandmn/cnn-pytorch-lightning-beginners-model", "kernel_id": "12999257"}, {"ref": "reighns/tutorial-pytorch-saving-and-loading-inference", "kernel_id": "12994238"}, {"ref": "deepakat002/cassava-eda-xception-inceptionres-training", "kernel_id": "12997059"}, {"ref": "tejesh123/leaf-diseasease1", "kernel_id": "12997423"}, {"ref": "arunmohan003/exploratory-data-analysis", "kernel_id": "12987851"}, {"ref": "sandhiwangiyana/cassava-leaf-eda-with-image-statistics", "kernel_id": "12992622"}, {"ref": "oldpeter/cassava-leaf-disease-classification-tf2", "kernel_id": "12990548"}, {"ref": "jessemostipak/getting-started-tpus-cassava-leaf-disease", "kernel_id": "12942088"}, {"ref": "kylecloud/cassava-leaf-disease-top11percent", "kernel_id": "12987802"}, {"ref": "jinssaa/write-and-build-tfrecords", "kernel_id": "12993341"}, {"ref": "foolofatook/starter-eda-cassava-leaf-disease", "kernel_id": "12986829"}, {"ref": "ricardoaraujo/cassava-submission-template", "kernel_id": "13659105"}, {"ref": "abhishek/tez-faster-and-easier-training-for-leaf-detection", "kernel_id": "13018120"}, {"ref": "abhishek/leaf-disease-inference-using-tez", "kernel_id": "13021276"}, {"ref": "abhishek/using-tez-in-leaf-disease-classification", "kernel_id": "13034136"}, {"ref": "richardepstein/efficientnet-commit-inference-old-docker", "kernel_id": "13205463"}, {"ref": "richardepstein/check-tfrecords", "kernel_id": "13043625"}, {"ref": "rijuvaish/leaf-disease-classification-using-residual-network", "kernel_id": "13945558"}, {"ref": "npan1990/simple-eda-inception", "kernel_id": "13102738"}, {"ref": "npan1990/cassava-leafs-simple-eda-baseline-model", "kernel_id": "13085116"}, {"ref": "kailex/leaf-doctor-r-eda-with-torch", "kernel_id": "13537847"}, {"ref": "lrmeulman/cassava-notebook", "kernel_id": "13450338"}, {"ref": "hengck23/notebook6262cd4cd3", "kernel_id": "13093356"}, {"ref": "shash152543/casava-training-code", "kernel_id": "13220004"}, {"ref": "vishnus/cassava-pytorch-lightning-starter-notebook-0-895", "kernel_id": "13625059"}, {"ref": "aninda/fastai-leaf", "kernel_id": "13334263"}, {"ref": "aninda/cassanva-leaf-lightning", "kernel_id": "13395710"}, {"ref": "sachinprabhu/pytorch-resnet50-snapmix-train-pipeline", "kernel_id": "13724799"}, {"ref": "alecgunny/cassava-pipeline", "kernel_id": "13930920"}, {"ref": "shrutisaxena/resnet50-e10", "kernel_id": "13323125"}, {"ref": "aarontrefler/at-cassava-leaf-disease-fastai", "kernel_id": "13085841"}, {"ref": "jsmithperera/efficientnetb3", "kernel_id": "13350321"}, {"ref": "jsmithperera/cassava-inference", "kernel_id": "13293580"}, {"ref": "jsmithperera/tpus-cassava-leaf-disease", "kernel_id": "13252177"}, {"ref": "junnanlu/cassava-model-submission", "kernel_id": "13236352"}, {"ref": "shaolihuang/training-with-snapmix", "kernel_id": "13724678"}, {"ref": "thanish/a-newbie-s-resnet50", "kernel_id": "13276505"}, {"ref": "thanish/my-efficientnet-needs-your-help", "kernel_id": "13933754"}, {"ref": "tolgadincer/cldc-efficientnet-features", "kernel_id": "13362553"}, {"ref": "tolgadincer/cldc-tsne", "kernel_id": "13363470"}, {"ref": "zoupet/first-model", "kernel_id": "13011933"}, {"ref": "manojprabhaakr/leaf-classification-resnext-50-32-4d", "kernel_id": "13039151"}, {"ref": "haqishen/baseline-modified-from-previous-competition", "kernel_id": "13420083"}, {"ref": "alekseyeliseev/cassava-disease-efficientnet-training", "kernel_id": "13182789"}, {"ref": "alekseyeliseev/cassava-disease-efficientnet-tf-inference", "kernel_id": "13978606"}, {"ref": "bjoernholzhauer/cassava-leaf-disease-classif-eda-cv-strategy", "kernel_id": "13322999"}, {"ref": "dhanyasabari/cassava-leaf-disease-gpu-version", "kernel_id": "13488744"}, {"ref": "ravitejam/fastai-after-lesson-2", "kernel_id": "13066608"}, {"ref": "rishav123/disease-prediction", "kernel_id": "13199734"}, {"ref": "kozodoi/merge-and-zip-2019-2020-data", "kernel_id": "13487512"}, {"ref": "keremt/progressive-label-correction-paper-implementation", "kernel_id": "13491977"}, {"ref": "keremt/cassava-eda-part2-cnn-dedup-with-rapids", "kernel_id": "13141471"}, {"ref": "keremt/cassava-eda-imagehash-cnn-dedup-old-and-new-data", "kernel_id": "13120476"}, {"ref": "uozcan12/resize-tfrecords-and-jpeggg", "kernel_id": "13041469"}, {"ref": "tanlikesmath/cassava-pytorch-xla-tpu-starter-training", "kernel_id": "13114406"}, {"ref": "daveccampbell/cassava-bitempered-logistic-loss-save-model", "kernel_id": "13931397"}, {"ref": "kanruwang/ensemble-efficientnet-and-resnext-inference", "kernel_id": "13499132"}, {"ref": "ramkicse/pytorch-efficientnet-baseline", "kernel_id": "13030363"}, {"ref": "kuc2477/cassava-classification-lg-cv-2021-train", "kernel_id": "13294171"}, {"ref": "kuc2477/notebook143ab49607-04843c", "kernel_id": "13278674"}, {"ref": "datasciencemrigank/base-resnet-model", "kernel_id": "13318845"}, {"ref": "herwinvw/evaluate-py", "kernel_id": "13039935"}, {"ref": "artgor/cassava-disease-identification-with-lightning", "kernel_id": "13029975"}, {"ref": "mrzerehpoosh/cassava-possible-duplicated-images", "kernel_id": "13998659"}, {"ref": "dinesh19aug/casava-eda", "kernel_id": "13436072"}, {"ref": "dinesh19aug/notebook-bnet0-trained", "kernel_id": "13946374"}, {"ref": "nachiket273/vit-gpu", "kernel_id": "13211577"}, {"ref": "ajaybyanjankar/leaf-disease-classification", "kernel_id": "13897422"}, {"ref": "andreaschandra/exploration", "kernel_id": "13276151"}, {"ref": "iftiyar500/cassava-leaf-disease", "kernel_id": "13001724"}, {"ref": "iraqai/dataefficient-image-transformers-training-lb-0-84", "kernel_id": "13925554"}, {"ref": "shubham219/model-ensembling-with-k-fold", "kernel_id": "13853634"}, {"ref": "shubham219/experiment-with-models-in-keras-inference", "kernel_id": "13628842"}, {"ref": "skadiran/cassava-leaf-disease-tpu-tf-keras-efficientnet", "kernel_id": "13339062"}, {"ref": "narendra/cassava-leaf-disease-analysis", "kernel_id": "13176409"}, {"ref": "benjibb/resnet50-pretrained-fastai", "kernel_id": "13437860"}, {"ref": "benjibb/xse-resnext50-and-ranger", "kernel_id": "13295176"}, {"ref": "bootiu/cassava-baseline", "kernel_id": "13048268"}, {"ref": "vikasvikkyd/cassava-desease-cls", "kernel_id": "13717214"}, {"ref": "tahsin/leaf-disease-classification-starter-code-train", "kernel_id": "13451769"}, {"ref": "ababino/cutmix-with-fastai-and-efficientnet", "kernel_id": "13071149"}, {"ref": "ashwanikumar04/image-aug-keras-random-cutout-preprocessing-layer", "kernel_id": "13938812"}, {"ref": "shariarriday/keras-efficientnet-cnn-with-k-fold", "kernel_id": "13314900"}, {"ref": "qinhui1999/pytorch-tpu-training-v1", "kernel_id": "13897077"}, {"ref": "qinhui1999/pytorch-tpu-infer-v1-lb-0-851", "kernel_id": "13912009"}, {"ref": "senkmp/simple-eda-using-tf-records", "kernel_id": "13869247"}, {"ref": "senkmp/simple-tpu-training-and-inference-using-tf-records", "kernel_id": "13872741"}, {"ref": "ranabanerjee/cassava-eda-and-upsampling", "kernel_id": "13187915"}, {"ref": "snnclsr/cassava-image-eda", "kernel_id": "13003331"}, {"ref": "spawnboo/comp-test", "kernel_id": "13498452"}, {"ref": "krisho007/kfold-parallel-pytorch-lightning", "kernel_id": "13424122"}, {"ref": "sachinichake/cassava-leaf-disease-eda-aug-pytorch", "kernel_id": "13052528"}, {"ref": "buctl2013014093/train-leaf-classify", "kernel_id": "13351564"}, {"ref": "dimitreoliveira/cassava-leaf-disease-cyclegan-data-augmentation", "kernel_id": "13160988"}, {"ref": "dimitreoliveira/cassava-leaf-disease-tpu-tensorflow-training", "kernel_id": "13015017"}, {"ref": "dimitreoliveira/cassava-leaf-disease-tpu-tensorflow-inference", "kernel_id": "13022518"}, {"ref": "dimitreoliveira/cassava-leaf-disease-stratified-tfrecords-256x256", "kernel_id": "13039417"}, {"ref": "dimitreoliveira/cassava-leaf-disease-tpu-v2-pods-inference", "kernel_id": "13273599"}, {"ref": "dimitreoliveira/cassava-leaf-disease-training-with-tpu-v2-pods", "kernel_id": "13252783"}, {"ref": "dimitreoliveira/cassava-supervised-contrastive-learning-inference", "kernel_id": "13685132"}, {"ref": "dimitreoliveira/cassava-leaf-supervised-contrastive-learning", "kernel_id": "13495159"}, {"ref": "pawan28a95/fastai-baseline", "kernel_id": "13345799"}, {"ref": "ar2017/pytorch-efficientnet-train-aug-cutmix-fmix", "kernel_id": "13334045"}, {"ref": "ar2017/pytorch-resnet200d-train-cutmix-fmix", "kernel_id": "13018502"}, {"ref": "ar2017/visualizing-augmentations", "kernel_id": "13806862"}, {"ref": "khyeh0719/cutmix-v-s-fmix-with-visualization", "kernel_id": "13026851"}, {"ref": "sanikamal/cassava-leaf-disease-cnn-prediction", "kernel_id": "13080968"}, {"ref": "sanikamal/cassava-leaf-disease-cnn-starter", "kernel_id": "13077891"}, {"ref": "thewillmundy/cassava-leaf-classification-with-pytorch-lightning", "kernel_id": "13525190"}, {"ref": "harveenchadha/efficientnetb3-baseline-inference-keras-tf2-tta", "kernel_id": "13345010"}, {"ref": "harveenchadha/efficientnetb3-keras-tf2-baseline-training", "kernel_id": "13327168"}, {"ref": "harveenchadha/effnetb4-tf-data-gpu-aug-5x-speedup-tta", "kernel_id": "13453615"}, {"ref": "gustavomodelli/model-keras-conv2d", "kernel_id": "13328383"}, {"ref": "ludovick/baseline-tpu-tf-efficientnet-kfold-gpu-inference", "kernel_id": "13025119"}, {"ref": "ludovick/baseline-tf-tpu-efficientnet-kfold-training", "kernel_id": "13025208"}, {"ref": "ateplyuk/simplest-starting-code-cassava-leaf-pytorch", "kernel_id": "13898823"}, {"ref": "arbazkhan971/cassava-leaf-disease-eda-fastai-baseline", "kernel_id": "13041967"}, {"ref": "alvikhan/custom-neural-network", "kernel_id": "13398802"}, {"ref": "mohneesh7/submission-notebook-for-cassava", "kernel_id": "13988594"}, {"ref": "mohneesh7/cassava-leaf-disease-detection-keras", "kernel_id": "13914569"}, {"ref": "viswajithkn/diseaseclassification", "kernel_id": "13092477"}, {"ref": "electro/keras-baseline-0-88-quickstart-i-training-saving", "kernel_id": "13872117"}, {"ref": "electro/keras-baseline-0-88-quickstart-ii-submission", "kernel_id": "13953114"}, {"ref": "btseytlin/interactive-visualization-with-umap-and-bokeh", "kernel_id": "13898085"}, {"ref": "ravikiranbhonagiri/cassava-leaf-disease", "kernel_id": "13080737"}, {"ref": "vpkprasanna/different-augmentations-on-albumentations", "kernel_id": "13424039"}, {"ref": "shashwatwork/cassava-classification-a-layman-s-approach", "kernel_id": "13051116"}, {"ref": "muralidhar972/cassava-leaf-disease-eff-b7", "kernel_id": "13966397"}, {"ref": "izotov/getting-started-tpus-cassava-leaf-disease", "kernel_id": "13685261"}, {"ref": "thanhtinqn97/resnet50-keras", "kernel_id": "13103573"}, {"ref": "durbin164/efficientnetb4-starting-training-score-86", "kernel_id": "13514123"}, {"ref": "durbin164/tpu-bitempered-logistic-loss-keras-tensorflow", "kernel_id": "13975401"}, {"ref": "chekoduadarsh/starter-code-cassava-leaf-disease-cam", "kernel_id": "13032283"}, {"ref": "volcanoflash/cassava-leaf-disease-classification-fast-ai", "kernel_id": "13022126"}, {"ref": "nvnvashisth/cassava-leaf-resizing", "kernel_id": "13271916"}, {"ref": "nabeelhasan/cassava-tensorflow", "kernel_id": "13220766"}, {"ref": "prvnkmr/efficientnet-simple-baseline-implementation", "kernel_id": "13906362"}, {"ref": "prvnkmr/cassava-leave-disease-pytorch-implementation", "kernel_id": "13901216"}, {"ref": "bluesky314/cassavasubmission", "kernel_id": "13976137"}, {"ref": "bluesky314/cassavaplantclassificationeda-basictrain", "kernel_id": "13938158"}, {"ref": "binodsuman/cassava-leaf-disease-step-by-step-solution", "kernel_id": "13792470"}, {"ref": "jcesquiveld/cassava-visually-inspecting-images", "kernel_id": "13943296"}, {"ref": "gopalsingh5/eda-with-cassava-plants", "kernel_id": "13287316"}, {"ref": "anonamename/swav-tf", "kernel_id": "13502176"}, {"ref": "nroman/cassa-leaf-with-pytorch", "kernel_id": "13039974"}, {"ref": "leewhieldon/cassava-leaf-keras-efficientnetb-prediction", "kernel_id": "13427958"}, {"ref": "khoongweihao/insect-augmentation-et-al", "kernel_id": "13872051"}, {"ref": "henry090/work-with-fast-ai-from-r", "kernel_id": "13500241"}, {"ref": "cdk292/xse-resnext18-with-r-and-fastai", "kernel_id": "13777075"}, {"ref": "cdk292/efficientnet-b0-predict-w1th0ut-internet", "kernel_id": "13419501"}, {"ref": "cdk292/xresnet-with-r-and-fastai", "kernel_id": "13480592"}, {"ref": "cdk292/learning-rate-finder-for-efficientnetb0-with-r", "kernel_id": "13354793"}, {"ref": "cdk292/missclassified-pictures-and-bias-efficientnet-b0", "kernel_id": "13363845"}, {"ref": "cdk292/efficientnetb0-with-r-and-tf2-cyclic-lr", "kernel_id": "13034923"}, {"ref": "zhangeng/make-tfreords", "kernel_id": "13030600"}, {"ref": "yingpengchen/pytorch-cldc-train-with-vit", "kernel_id": "13788793"}, {"ref": "deadelous/eda-cnn-of-cassava-leaf-detection", "kernel_id": "13125640"}, {"ref": "daneilzheng/pytorch-efficientnet-with-tta-training", "kernel_id": "13396228"}, {"ref": "kandosa/leaf-eda", "kernel_id": "13449121"}, {"ref": "adrianromano/c-l-assava-y-leaf-diseases-with-cnn-keras", "kernel_id": "13061780"}, {"ref": "masatosampei/eda-cassava-leaf-disease", "kernel_id": "13369890"}, {"ref": "corrrado/cassava-xception-part1", "kernel_id": "13680985"}, {"ref": "mohanavel/cassava-leaf-disease-classification-with-resnet34", "kernel_id": "13233696"}, {"ref": "biswadeep20/vgg-transfer-learning-starter-keras", "kernel_id": "13010447"}, {"ref": "sharansmenon/pytorch-cassava-disease-classification-training-nb", "kernel_id": "13639760"}, {"ref": "razatabish/inceptionresnetv2-leaf-disease-classification", "kernel_id": "13419862"}, {"ref": "razatabish/cassava-leaf-disease-classification", "kernel_id": "13260672"}, {"ref": "dunklerwald/pytorch-efficientnet-with-tta-training", "kernel_id": "13080461"}, {"ref": "dunklerwald/pytorch-efficientnet-with-tta-inference", "kernel_id": "13080105"}, {"ref": "zzy990106/merge-images-in-two-competitions", "kernel_id": "13163199"}, {"ref": "zzy990106/duplicate-images-in-two-competitions", "kernel_id": "13126697"}, {"ref": "kei96kag/cassava-study-augmentation-and-cnn", "kernel_id": "13997153"}, {"ref": "ipythonx/tf-keras-cassava-advanced-training-mechanism", "kernel_id": "13469610"}, {"ref": "ipythonx/keras-image-augmentations", "kernel_id": "13400147"}, {"ref": "slm37102/cassava-leaf-disease-classification-fastai", "kernel_id": "13014695"}, {"ref": "rajanlagah/noob-programmer-s-code", "kernel_id": "13978536"}, {"ref": "wuliaokaola/something-wrong-with-official-tfrecords", "kernel_id": "13014460"}, {"ref": "wuliaokaola/tensorflow-resnet50-train-with-new-tfrecords", "kernel_id": "13015290"}, {"ref": "wuliaokaola/getting-started-tpus-new-tfrecords", "kernel_id": "13010858"}, {"ref": "khairoo/cassava-leaf-disease-simple-exploratory", "kernel_id": "13137494"}, {"ref": "anhtu96/cassava-resnet50", "kernel_id": "13057009"}, {"ref": "anhtu96/cassava-inference", "kernel_id": "13427473"}, {"ref": "aziz69/all-in-one-cassava-inference", "kernel_id": "13213584"}, {"ref": "aziz69/all-in-one-casava-training", "kernel_id": "13239870"}, {"ref": "sayedathar11/cassava-leaf-disease-stratified-tfrecords-256x256", "kernel_id": "13236108"}, {"ref": "sayedathar11/effnet-augs-with-tpu-blazing-fast-cv-0-84", "kernel_id": "13234499"}, {"ref": "sayedathar11/cassava-eda-augmentations-vgg16-baseline", "kernel_id": "13071584"}, {"ref": "pranavuikey/fastai-training-inference", "kernel_id": "13256167"}, {"ref": "rsingh99/facebook-s-data-efficient-image-transformers", "kernel_id": "13794363"}, {"ref": "kami2suukyi/pytorch-efficientnet-train-infer-easy-to-improve", "kernel_id": "13337205"}, {"ref": "peterpetrov826/we-need-to-go-deeper-to-save-cassava", "kernel_id": "13234393"}, {"ref": "tejasharitsavk/fork-of-fork-of-fork-of-cassava-leaf-disease-class", "kernel_id": "13625307"}, {"ref": "fuxungao/ensemble", "kernel_id": "13792028"}, {"ref": "kunalgaurav18/version-3", "kernel_id": "13840366"}, {"ref": "jagdmir/eda-training-powered-by-tpu", "kernel_id": "13107646"}, {"ref": "prashantarorat/starter-notebook-simple-eda", "kernel_id": "13319682"}, {"ref": "dliend/starter-fastai-pretrained-model-weights-offline", "kernel_id": "13161001"}, {"ref": "dliend/custom-image-transforms-in-fastai", "kernel_id": "13931247"}, {"ref": "lordaxy/eda-preprocessing", "kernel_id": "13557945"}, {"ref": "arka1993/ab-cassava-leaf-disease-classification", "kernel_id": "13139779"}, {"ref": "ta9ryu/ssl-cassava", "kernel_id": "13353448"}, {"ref": "kabhinay/pretrained-xception-model", "kernel_id": "13315645"}, {"ref": "kabhinay/cassava-bitempered-loss", "kernel_id": "13496780"}, {"ref": "kabhinay/cassava-inference", "kernel_id": "13461038"}, {"ref": "kabhinay/cassava-inference-v2", "kernel_id": "13994158"}, {"ref": "darshanpatel11/cassava-classification-pytorch-training-vision", "kernel_id": "13402708"}, {"ref": "huyuanzheng/cassva-classification-tf2", "kernel_id": "13119194"}, {"ref": "harsh2040/cassava-leaf-classification-using-pretrained-model", "kernel_id": "13468392"}, {"ref": "ssarkar445/cassava-leaf-disease-efficientnetb7-tfrec-tpu", "kernel_id": "13754988"}, {"ref": "ssarkar445/cassava-leaf-disease-tr-baseline", "kernel_id": "13786551"}, {"ref": "pranavraikokte/eda-basic-image-augmentations", "kernel_id": "13284583"}, {"ref": "pranavraikokte/baseline-cnn", "kernel_id": "13488080"}, {"ref": "kunaldhotre99/zoro-s-training-kernel", "kernel_id": "13848594"}, {"ref": "itsuki9180/efficientnet-and-cutmixup-with-tpu-predict-phase", "kernel_id": "13011840"}, {"ref": "itsuki9180/recreate-stratificated-tfrecords", "kernel_id": "13009340"}, {"ref": "ramjib/cassava-leaf-disease-eda-and-outliers", "kernel_id": "13657663"}, {"ref": "aravindnaidu/leaf-classification-xception", "kernel_id": "13733391"}, {"ref": "pranav10000/efficientnetb3-resnet50-cassavadisease-tpu", "kernel_id": "13328112"}, {"ref": "xhlulu/cassava-efficientnet-submission", "kernel_id": "13047783"}, {"ref": "xhlulu/cassava-train-efficientnet-on-tpu-in-100-lines", "kernel_id": "13025766"}, {"ref": "athiqahmed/casavaleafdisease-pre-trained-models", "kernel_id": "13394499"}, {"ref": "anukool89/efficientnet-with-pytorch-lightning-train-infer", "kernel_id": "13300987"}, {"ref": "anukool89/modelling-and-inference-with-pytorch-resnext", "kernel_id": "13049375"}, {"ref": "noelmat/casava-starter", "kernel_id": "13561107"}, {"ref": "noelmat/tta-submission-kernel-resnet18-0-866-public", "kernel_id": "13620114"}, {"ref": "ahmedy1993/tta-submission-kernel-resnet18-0-866-public", "kernel_id": "13644092"}, {"ref": "renjithrrkj/cassava-disease-prediction-tfrecords-xception", "kernel_id": "13214534"}, {"ref": "dhruvmak/cassava-leaf-disease-exploratory-data-analysis", "kernel_id": "13058418"}, {"ref": "pknayak/cassava-leaf-detection", "kernel_id": "13257865"}, {"ref": "handsdirty/detectron-2-compare-models-augmentation", "kernel_id": "13078277"}, {"ref": "shyambhu/copy-of-effnetb4-tf-data-gpu-aug-5x-speedup-tta", "kernel_id": "13792453"}, {"ref": "muellerzr/submission-notebook", "kernel_id": "13019702"}, {"ref": "muellerzr/fastai-efficientnet-b3-with-ranger-83-5", "kernel_id": "13028496"}, {"ref": "muellerzr/recreating-abhishek-s-tez-with-fastai", "kernel_id": "13156950"}, {"ref": "muellerzr/fastai-abhishek-inference", "kernel_id": "13157373"}, {"ref": "houssemayed/cnn-inceptionnet-model", "kernel_id": "13901109"}, {"ref": "lkatran/cassava-leaf-disease-training-models", "kernel_id": "13792819"}, {"ref": "lkatran/cassava-leaf-disease-submission-kernel", "kernel_id": "13792786"}, {"ref": "khotijahs1/image-preprocessing-for-cassava-leaf-disease", "kernel_id": "13373252"}, {"ref": "shirmani/eda-cassava-leaf", "kernel_id": "13346175"}, {"ref": "shirmani/data-expansion-cassava-leaf", "kernel_id": "13385273"}, {"ref": "abhinand05/vision-transformer-vit-tutorial-baseline", "kernel_id": "13174089"}, {"ref": "fireheart7/cassava-create-tfrecords", "kernel_id": "13131904"}, {"ref": "santhoshkumarv/visualize-cassava-leaf-augmentations", "kernel_id": "13920232"}, {"ref": "harininarasimhan/vgg19-salience-mapping-visualization-pytorch", "kernel_id": "13482770"}, {"ref": "harininarasimhan/why-not-to-trust-public-lb-visualization", "kernel_id": "13804798"}, {"ref": "ekshusingh/torch-se", "kernel_id": "13722010"}, {"ref": "tpmeli/cassava-r-and-python-eda", "kernel_id": "13005739"}, {"ref": "ednelcha/notebook4f7f962c21", "kernel_id": "13660838"}, {"ref": "eddie93166/cassava-densenet121-softtarget", "kernel_id": "13532580"}, {"ref": "negeek/fastai-xresnet18-mixup", "kernel_id": "13368254"}, {"ref": "qq1623620766/pytorch-efficientnet-baseline-no-tta", "kernel_id": "13460607"}, {"ref": "orion29/cassava-leaves-inference", "kernel_id": "13947825"}, {"ref": "bemorekgg/data-science-imagesfoldernames-to-train-csv-file", "kernel_id": "13784014"}, {"ref": "bemorekgg/train-plaidml-for-image-classification-in-amdgpu", "kernel_id": "13782212"}, {"ref": "rudraksh25/pytorch-efficientnet-baseline-inference-tta", "kernel_id": "13866490"}, {"ref": "tanulsingh077/rethinking-cv-strategy-with-visualizations", "kernel_id": "13300095"}, {"ref": "tanulsingh077/how-to-become-leaf-doctor-with-deep-learning", "kernel_id": "13148202"}, {"ref": "soumochatterjee/cutblur-leaf-disease-classification", "kernel_id": "13154582"}, {"ref": "soumochatterjee/fmix-cassava-leaf-disease-classification", "kernel_id": "13002501"}, {"ref": "soumochatterjee/inference-cassava-leaf-detection", "kernel_id": "13197588"}, {"ref": "chuka19952/cassava-disease-detection", "kernel_id": "13955294"}, {"ref": "javierespinozat/cassava-v0", "kernel_id": "13689326"}, {"ref": "user123454321/pytorch-densenet121-starter-inference", "kernel_id": "13840280"}, {"ref": "user123454321/pytorch-densenet121-starter", "kernel_id": "13839783"}, {"ref": "spidermandance/tfrecords-is-wrong", "kernel_id": "13012725"}, {"ref": "iluvmahheart/simple-beginner-disease-classificastion", "kernel_id": "13921344"}, {"ref": "kicjowketrab/casava-with-pytorch-lightning", "kernel_id": "13907904"}, {"ref": "nasirkhalid24/loss-functions-to-help-with-noisy-labelled-data", "kernel_id": "13709653"}, {"ref": "mudasserafzal/leaves", "kernel_id": "13004685"}, {"ref": "clatonhendricks/cassava-leaf-disease-keras-and-efficientnetb4", "kernel_id": "13083880"}, {"ref": "nibinv23/cassava-leaf-disease-classification", "kernel_id": "13638343"}, {"ref": "starktony45/eda-of-leaf-disease", "kernel_id": "13061142"}, {"ref": "pratt3000/cassava-submission-notebook", "kernel_id": "13873884"}, {"ref": "pratt3000/cassava-leaf-disease-detection-efficientnet-b5", "kernel_id": "13850505"}, {"ref": "frlemarchand/cassava-leaf-segmentation-using-vegetation-indices", "kernel_id": "13666203"}, {"ref": "sd4321/latest-fastai-training-inference-prediction", "kernel_id": "13236547"}, {"ref": "khlevnov/imagedatagenerator-and-albumentations-without-pain", "kernel_id": "13140156"}, {"ref": "khlevnov/efficientnetb0-training", "kernel_id": "13044945"}, {"ref": "domizianostingi/cnn-keras-model", "kernel_id": "13000405"}, {"ref": "viroviro/leaf-desease-classification", "kernel_id": "13527704"}, {"ref": "pksx01/cassava-keras-resnet50-training", "kernel_id": "13186229"}, {"ref": "pksx01/cassava-leaf-disease-classification-fastai", "kernel_id": "13059579"}, {"ref": "anashashem/project-v2", "kernel_id": "13732235"}, {"ref": "akshat0007/cassavaleaf-densenet121-tensorflow", "kernel_id": "13934305"}, {"ref": "keimoriyama/my-baseline", "kernel_id": "13446743"}, {"ref": "shonyacid/cassava-leaf-disease-classification-tf-tl-dnn", "kernel_id": "13041382"}, {"ref": "pratibha9/cassava-leaf-disease", "kernel_id": "13986389"}, {"ref": "ltxltx/train-with-kaggle", "kernel_id": "13764633"}, {"ref": "jitshil143/cassava-leaf-analysis-python", "kernel_id": "13894393"}, {"ref": "marto24/keras-model-89-tta", "kernel_id": "13677358"}, {"ref": "jaisenbe58r/tpu-kfold-cassava-leaf-disease-classification", "kernel_id": "13656918"}, {"ref": "syoifczeri/the-concept-network-to-utilize-full-size-image2", "kernel_id": "13656556"}, {"ref": "kamleshshimpi78/easy-cassava-leaf-disease-detection-in-keras", "kernel_id": "13077369"}, {"ref": "vineeth1999/pytorch-efficientnet-baseline-train-amp-aug", "kernel_id": "13019092"}, {"ref": "vineeth1999/pytorch-efficientnet-baseline-inference-tta", "kernel_id": "13019143"}, {"ref": "danilofc/cassava-project", "kernel_id": "13858447"}, {"ref": "marcelosanchezortega/pytorch-efficientnet-multiple-tta", "kernel_id": "13020876"}, {"ref": "marcelosanchezortega/pytorch-efficientnet-baseline-train-amp-aug", "kernel_id": "13014753"}, {"ref": "venkat555/cassava-leaf-disease-tpu-tensorflow-inference", "kernel_id": "13209362"}, {"ref": "venkat555/cassava-classification-with-densenet-and-cutmix", "kernel_id": "13043035"}, {"ref": "szuzhangzhi/pytorch-efficientnet-baseline-train-amp-aug", "kernel_id": "13303376"}, {"ref": "szuzhangzhi/vision-transformer-vit-cuda-as-usual", "kernel_id": "13280913"}, {"ref": "szuzhangzhi/vit-cuda-as-usual-ensemble-inference", "kernel_id": "13284813"}, {"ref": "drcapa/cassava-leaf-disease-classification-tpu-tutorial", "kernel_id": "13379318"}, {"ref": "kevinscaria/cassava-leaf-disease-eda-modelling", "kernel_id": "13028590"}, {"ref": "emreulgac/cassava-leaf-disease-classification", "kernel_id": "13117879"}, {"ref": "digish/notebook-rendering-issues", "kernel_id": "13655636"}, {"ref": "muhammad4hmed/leafs-need-attention", "kernel_id": "13782331"}, {"ref": "sudosudh/cassava-multiclass-problem", "kernel_id": "13219756"}, {"ref": "sudosudh/cassava-leaf-disease-submission", "kernel_id": "13264346"}, {"ref": "anku5hk/baseline-cassva-leaf-diseases", "kernel_id": "13255618"}, {"ref": "balakrishcodes/eda-tr-inf-pytorch-multi-model-classifier", "kernel_id": "13048965"}, {"ref": "balakrishcodes/inf-pytorch-efficient-net-classifie", "kernel_id": "13052885"}, {"ref": "ayushn2000/cassava-leaf-disease-inference", "kernel_id": "13431242"}, {"ref": "epochs19/superbeginner-training-notebook", "kernel_id": "13359611"}, {"ref": "usama000/leaves-disease-usama", "kernel_id": "13004686"}, {"ref": "whutddmm/seresnext", "kernel_id": "13354590"}, {"ref": "shivanandmn/vitransformer-gpu", "kernel_id": "13227069"}, {"ref": "shivanandmn/efficientnet-pytorch-lightning-train-inference", "kernel_id": "13161954"}, {"ref": "reighns/complete-and-reusable-pytorch-pipeline", "kernel_id": "13727206"}, {"ref": "deepakat002/efficientnetb3-inference-0-860", "kernel_id": "13524177"}, {"ref": "deepakat002/effficientnetb3-cassava", "kernel_id": "13484689"}, {"ref": "piantic/no-tta-cassava-resnext50-32x4d-inference-lb0-903", "kernel_id": "13247858"}, {"ref": "piantic/vision-transformer-vit-visualize-attention-map", "kernel_id": "13326109"}, {"ref": "piantic/train-cassava-starter-using-various-loss-funcs", "kernel_id": "13489221"}, {"ref": "salmaneunus/cassava-leaf-classification-3", "kernel_id": "13310158"}, {"ref": "salmaneunus/cassava-leaf-disease-classification-2", "kernel_id": "13081575"}, {"ref": "kushagrgoyal/cassava-leaf-disease-classification", "kernel_id": "13023207"}, {"ref": "kyoshioka47/psuedo-labeling-with-efficientnet", "kernel_id": "13057068"}, {"ref": "dmikar/keras-resnet50-ra-test", "kernel_id": "13000393"}, {"ref": "benihime91/fastai-timm-efficientnet-train-fold-0", "kernel_id": "13316050"}, {"ref": "capiru/custom-augment-train-pipeline", "kernel_id": "13231878"}, {"ref": "daenys2000/cassava-leaf-disease-classification-eda", "kernel_id": "13002587"}, {"ref": "sinamhd9/keras-available-models-part-2-inference", "kernel_id": "13051670"}, {"ref": "sinamhd9/keras-available-models-part-1-training", "kernel_id": "13051599"}, {"ref": "azhura/base-model-inference-cnn", "kernel_id": "13432473"}, {"ref": "azhura/building-a-cnn-base-model-with-keras-gpu", "kernel_id": "13407871"}, {"ref": "awsaf49/efficientnetb6-512-cutmixupdropout-tpu-train", "kernel_id": "13001962"}, {"ref": "awsaf49/cassava-starter-keras-gpu-efficientnetb0", "kernel_id": "13007949"}, {"ref": "vigneshwarac/cassava-leaf-disease-classification-try-1", "kernel_id": "13248328"}, {"ref": "jkstar/version-test", "kernel_id": "13188808"}, {"ref": "mohamedhanyyy/cassava-leaf-dc-using-cnn", "kernel_id": "13183814"}, {"ref": "abhinay71/cassava-leaf-disease-prediction", "kernel_id": "13697112"}, {"ref": "gokulnath31/cassava-leaf-disease-baseline-train", "kernel_id": "13095638"}, {"ref": "gokulnath31/cassavaleafdiseaseclassificationmobilenetinference", "kernel_id": "13012425"}, {"ref": "songyi1999/classificat-leaf", "kernel_id": "13187843"}, {"ref": "sikanderglamt18/classification-with-resnet50", "kernel_id": "13259885"}, {"ref": "cjpjg007/cassava-leaf-disease-classification", "kernel_id": "13497492"}, {"ref": "ajaykumar7778/tpu-train-effnets", "kernel_id": "13261715"}, {"ref": "ajaykumar7778/tpu-inference-effnets", "kernel_id": "13265858"}, {"ref": "ajaykumar7778/efficientnet-and-cutmixup-with-tpu-train-phase", "kernel_id": "13073277"}, {"ref": "ajaykumar7778/efficientnet-and-cutmixup-with-tpu-predict-phase", "kernel_id": "13073186"}, {"ref": "ajaykumar7778/vision-transformer-vit-cuda-as-usual", "kernel_id": "13541362"}, {"ref": "ritik2209/cassava-b3", "kernel_id": "13172838"}, {"ref": "ritik2209/inference", "kernel_id": "13179335"}, {"ref": "pndeepak/cassava-predict", "kernel_id": "13376525"}, {"ref": "pndeepak/cassava-xception-baseline", "kernel_id": "13403645"}, {"ref": "shidqiet/cassava-leaf-disease", "kernel_id": "13304061"}, {"ref": "backup1123/pytorch-k-fold-cross-validation-dataloader", "kernel_id": "13340776"}, {"ref": "tarunbisht11/cassava-leaf-disease-starter-notebook-tf", "kernel_id": "13052250"}, {"ref": "makawamevy/cassava-disease-classification-first-attempt", "kernel_id": "13837878"}, {"ref": "ankitkumarsaini/casava-leaf-disease-classification", "kernel_id": "13096021"}, {"ref": "wagnerloch/notebook0ab49faa31", "kernel_id": "13541756"}, {"ref": "lavanyask/cassava-leaf-disease-inference", "kernel_id": "13148319"}, {"ref": "lavanyask/cassava-leaf-disease-starter-notebook", "kernel_id": "13106773"}, {"ref": "codenamekash/cassava-leaf-disease-classification", "kernel_id": "13277235"}, {"ref": "morenovanton/tta-inceptionv3-leaf-disease-classification", "kernel_id": "13061963"}, {"ref": "anandsm7/starter-code-pytorch-efficientnetb4-0-87", "kernel_id": "13000336"}, {"ref": "bibhash123/cassava-classification-simple-overview-tf-keras", "kernel_id": "13008265"}, {"ref": "ashwinrachha1/resnet152-with-fastai", "kernel_id": "13701826"}, {"ref": "ashwinrachha1/efficientnetb4-with-keras", "kernel_id": "13057847"}, {"ref": "suriyaks/cassava-disease-classification-normal", "kernel_id": "13318788"}, {"ref": "sidharkal/cassava-efficientnet-baseline", "kernel_id": "13822465"}, {"ref": "maksymshkliarevskyi/cassava-leaf-disease-keras-cnn-baseline", "kernel_id": "13004953"}, {"ref": "maksymshkliarevskyi/cassava-leaf-disease-keras-cnn-prediction", "kernel_id": "13059864"}, {"ref": "maksymshkliarevskyi/cassava-leaf-disease-best-keras-cnn", "kernel_id": "13224341"}, {"ref": "elvinagammed/vgg-keras-baseline", "kernel_id": "13038496"}, {"ref": "elvinagammed/pca-t-sne-3d", "kernel_id": "13049000"}, {"ref": "elvinagammed/custom-cnn-vs-densenet", "kernel_id": "13054359"}, {"ref": "chuyunxinlan/cassava-rfb-train", "kernel_id": "13914737"}, {"ref": "genialgokul1099/multistream-cnn-with-efficientnetb0-b1-73valacc", "kernel_id": "13151648"}, {"ref": "genialgokul1099/multi-input-cnn-with-xception-acc-0-90val-acc-0-90", "kernel_id": "13188226"}, {"ref": "bitunsen/cassava-leaf-disease-pretrainined-model", "kernel_id": "13461755"}, {"ref": "nikhiljohnk/cassava-stratified-nick", "kernel_id": "13071812"}, {"ref": "saimanojakondi/selfsupervision-cassava", "kernel_id": "13470982"}, {"ref": "saimanojakondi/the-cassava", "kernel_id": "13798841"}, {"ref": "eriklarsen/1-exploratory-data-analysis", "kernel_id": "13372021"}, {"ref": "niksapraljak/baseline-cams-train-keras", "kernel_id": "13096716"}, {"ref": "nurkasimov/cassava-leaf-disease-submission", "kernel_id": "13684511"}, {"ref": "junichiromorita/exploratory-data-analysis-japanese-translation", "kernel_id": "13016585"}, {"ref": "nur988/cassava-pytorch-lightning", "kernel_id": "13211047"}, {"ref": "ggyuki/pytorch-efficientnet-baseline-inference-tta", "kernel_id": "13556030"}, {"ref": "shubham108/cassava-ensemble-efnetb3-resnet50", "kernel_id": "13773813"}, {"ref": "shubham108/ensemble-effecientnet-resnet-pytorch-tf2", "kernel_id": "13755992"}, {"ref": "shubham108/vision-transformer-tta", "kernel_id": "13906147"}, {"ref": "miatsu/notebookba9c18d9d5", "kernel_id": "13382435"}, {"ref": "rakkaalhazimi/leaf-disease", "kernel_id": "13181854"}, {"ref": "kabiraaitouadil/cassava-diseases-classification", "kernel_id": "13978971"}, {"ref": "wumumu/notebookfc5c3a6220", "kernel_id": "13480186"}, {"ref": "dhanyajayan/cassava-leaf-disease-classification", "kernel_id": "13898084"}, {"ref": "surayuthpintawong/inference-cassava", "kernel_id": "13550912"}, {"ref": "surayuthpintawong/training-cassava", "kernel_id": "13549991"}, {"ref": "frankmollard/xceptionnet-leaf-disease", "kernel_id": "13339322"}, {"ref": "frankmollard/crossfade-mixup-augmented-imgs", "kernel_id": "13541391"}, {"ref": "maifeeulasad/cassava-leaf-disease-vgg", "kernel_id": "13646748"}, {"ref": "yasserhessein/cassava-leaf-disease-classifica-mobilenet-vgg19", "kernel_id": "13263999"}, {"ref": "samyakuttam/efficientnet-leaf-disease-classification-train", "kernel_id": "13424034"}, {"ref": "danurahul/data-cleaning-model-training-inference-using-tez", "kernel_id": "13936057"}, {"ref": "karan23258/cassava-leaf", "kernel_id": "13268175"}, {"ref": "nikitasuharev/train-model-cassava", "kernel_id": "13483700"}, {"ref": "nikitasuharev/cassava-predict", "kernel_id": "13484450"}, {"ref": "tuckerarrants/cassava-rapids-knn", "kernel_id": "13628296"}, {"ref": "tuckerarrants/cassava-tensorflow-starter-training", "kernel_id": "13314474"}, {"ref": "a10kyadav/parallel-ensembling1", "kernel_id": "13999883"}, {"ref": "akhilkasare/cassava-leaf-disease-eda-prediction", "kernel_id": "13760837"}, {"ref": "damoonshahhosseini/image-augmentation", "kernel_id": "13799899"}, {"ref": "carloseduardosilvabh/cassava-transfer-learning-tensorflow-predict", "kernel_id": "13089738"}, {"ref": "zekun98/vit-cuda-as-usual-ensemble-inference", "kernel_id": "13584398"}, {"ref": "zekun98/pytorch-efficientnet-baseline-inference-tta", "kernel_id": "13417467"}, {"ref": "zekun98/notta-pytorch-efficientnet-baseline", "kernel_id": "13418167"}, {"ref": "zekun98/vision-single-vit-cuda-as-usual", "kernel_id": "13812097"}, {"ref": "dmitrynokhrin/cassava-predict", "kernel_id": "13880662"}, {"ref": "abhi8923shriv/dr-arborist-a-doctor-of-leaves", "kernel_id": "13287365"}, {"ref": "vinayharyan/learner", "kernel_id": "13855863"}, {"ref": "makarbaderko/cassava-modelling", "kernel_id": "13406562"}, {"ref": "datafan07/getting-the-best-out-of-tpus-efficientnet-eda", "kernel_id": "13017279"}, {"ref": "simpleaccount/prediction", "kernel_id": "13083716"}, {"ref": "simpleaccount/trainmodel", "kernel_id": "13035095"}, {"ref": "yerramvarun/cassava-taylorce-loss-label-smoothing-combo", "kernel_id": "13875520"}, {"ref": "yerramvarun/pytorch-efficientnetb4-svm-top-train", "kernel_id": "13900039"}, {"ref": "yerramvarun/pytorch-efficientnetb4-svm-top-inference", "kernel_id": "13903056"}, {"ref": "aliabdin1/calculate-mean-std-of-images", "kernel_id": "13204002"}, {"ref": "aliabdin1/find-similar-images-with-cosine-similarity", "kernel_id": "13057849"}, {"ref": "petermaiervictoria/efficientnet", "kernel_id": "13968923"}, {"ref": "bilibi/retrievalsubmission", "kernel_id": "13435582"}, {"ref": "digvijayyadav/tensorflow-vit-and-image-pre-processing", "kernel_id": "13395526"}, {"ref": "haashaatif/starter-for-beginners-pytorch", "kernel_id": "13791789"}, {"ref": "blueturtle/cassava-training-resnet50", "kernel_id": "13869698"}, {"ref": "blueturtle/cassava-inference-2", "kernel_id": "13897540"}, {"ref": "michalpitr/cassava-cnn", "kernel_id": "13836304"}, {"ref": "moeinshariatnia/pytorch-better-normalization-onecycle-lr-train", "kernel_id": "13022174"}, {"ref": "moeinshariatnia/pytorch-better-normalization-onecycle-lr-inference", "kernel_id": "13055692"}, {"ref": "jonahikaplan/pytorch-quick-experimentation-framework", "kernel_id": "13085400"}, {"ref": "akshatdevve/notebook21f870c98e", "kernel_id": "13254671"}, {"ref": "assafh7/cassava-notebook", "kernel_id": "13940660"}, {"ref": "spacefighter/v0-1-cassava-efficientnet-training", "kernel_id": "13499965"}, {"ref": "dennisdominicdiego/cassava-data-augmentation", "kernel_id": "13701976"}, {"ref": "rancychepchirchir/cassava-runc", "kernel_id": "13269763"}, {"ref": "hamedpouriayevali/resampled-tfrecords-800x600", "kernel_id": "13774048"}, {"ref": "louisheublein/cassava-leaf-disease-classification-eda-pytorch", "kernel_id": "13178735"}, {"ref": "shayantaherian/cassava-leaf-disease-classification-keras", "kernel_id": "13886154"}, {"ref": "debarshichanda/cassava-bitempered-logistic-loss", "kernel_id": "13758262"}, {"ref": "docphilipp/leaf-classification-train", "kernel_id": "13469734"}, {"ref": "pushpakbhoge/comparing-peformance-of-tf-pretrained-models", "kernel_id": "13125906"}, {"ref": "aeryss/cassanva-vision-transformer", "kernel_id": "13011861"}, {"ref": "grantwiersum/cassava-disease-tfrecord-training", "kernel_id": "13711114"}, {"ref": "gayathrirprog/work-with-fast-ai-from-r-0ed6a9", "kernel_id": "13924967"}, {"ref": "vipinochiramani/notebookd85f14d0d9", "kernel_id": "13928714"}, {"ref": "dwarkeshpatel/cassava-leaf", "kernel_id": "13891580"}, {"ref": "selivanovalexander/notebook54e950f9d8", "kernel_id": "13907686"}, {"ref": "hamzaboulahia/cassava-leaf-disease-eda", "kernel_id": "13290691"}, {"ref": "vadimtimakin/fast-automated-clean-pytorch-pipeline-inference", "kernel_id": "13453413"}, {"ref": "vadimtimakin/fast-automated-clean-pytorch-pipeline-train", "kernel_id": "13453364"}, {"ref": "eceifter/xception-cassava-leaf-disease-classification", "kernel_id": "13329699"}, {"ref": "tpothjuan/efficientnet-xception-k-transferring-tensorflow", "kernel_id": "13153003"}, {"ref": "caicaicaicaicai/albumentations-show", "kernel_id": "13401529"}, {"ref": "mohamedbouabidi/casava-second-run", "kernel_id": "13677853"}, {"ref": "mohamedbouabidi/casava-first-run", "kernel_id": "13465920"}, {"ref": "suryaaseran/simple-ensemble-model-template", "kernel_id": "13745383"}, {"ref": "suryaaseran/cassava-leaf-disease", "kernel_id": "13297916"}, {"ref": "satyabansahoo/cassava-leaf-disease-eda-and-model-using-keras", "kernel_id": "13009702"}, {"ref": "darshanramesh/inference-lightning", "kernel_id": "13712446"}, {"ref": "darshanramesh/cassava-leaf-classification-lightning", "kernel_id": "13709042"}, {"ref": "darshanramesh/casava-leaf-disease-classification-pytorch", "kernel_id": "13201354"}, {"ref": "maunilshah/leaf-disease-prediction", "kernel_id": "13975174"}, {"ref": "retal95/verygood2", "kernel_id": "13537726"}, {"ref": "manjeetsingh06/cassava1", "kernel_id": "13661419"}, {"ref": "shubhamagnihotri02/altered-neuron", "kernel_id": "13121781"}, {"ref": "underwearfitting/clean-inference-kernel-8xtta-lb902", "kernel_id": "13195577"}, {"ref": "vkehfdl1/cassava-leaf-dataset-image-converting-function", "kernel_id": "13856214"}, {"ref": "vkehfdl1/for-korean-lb-0-895-effnetb4-train", "kernel_id": "13808915"}, {"ref": "ulhaqi12/cassava-leaf-disease-data-analysis", "kernel_id": "13083427"}, {"ref": "danielwijaya/cassava-v1", "kernel_id": "13610341"}, {"ref": "danielwijaya/cassava-submission-notebook", "kernel_id": "13786497"}, {"ref": "vyombhatia/tutorial-a-few-lines-of-code", "kernel_id": "13231302"}, {"ref": "tiangong/data-analysis-detail", "kernel_id": "13935612"}, {"ref": "naoyatakei/notebookd52690ae56", "kernel_id": "13318013"}, {"ref": "shivangigarg160997/cassava-eda-bestscore-resnet-efficientnet", "kernel_id": "13811026"}, {"ref": "graemeholliday/inference", "kernel_id": "13621985"}, {"ref": "graemeholliday/resnext-baseline", "kernel_id": "13716597"}, {"ref": "raunakingcoder/cavlead-classification-data-preproccesing", "kernel_id": "13455971"}, {"ref": "sukanyabag/cassava-leaf-disease-classification", "kernel_id": "13123067"}, {"ref": "kaustabhkumarpatel/leaf-disease-classify", "kernel_id": "13923047"}, {"ref": "tianyu5/tpus-cassava-leaf-disease-infer", "kernel_id": "13464807"}, {"ref": "tianyu5/tpus-cassava-leaf-disease", "kernel_id": "13526931"}, {"ref": "logan0526/cassava-leaf-efficientnetb4-2", "kernel_id": "13282528"}, {"ref": "shanmukh05/cassave-leaf-diseases-tpu-training", "kernel_id": "13692069"}, {"ref": "shanmukh05/cassava-leaf-diseases-tpu-submission", "kernel_id": "13692785"}, {"ref": "shanmukh05/cassava-leaf-diseases", "kernel_id": "13274520"}, {"ref": "sjtuyxc/efficientnet-with-cutmix-based-on-openbayes", "kernel_id": "13415674"}, {"ref": "jeshanis/quick-custom-datagenerator", "kernel_id": "13167380"}, {"ref": "virajkadam/notebook841c84bbfb", "kernel_id": "13536387"}, {"ref": "zekunn/blend-tf2-efficientnet", "kernel_id": "13552653"}, {"ref": "zekunn/plant-class-efficientnetb2-tune", "kernel_id": "13714183"}, {"ref": "zekunn/plant-class-efficientnetb2-tune-splitfold", "kernel_id": "13993475"}, {"ref": "hinamimi/efficientnet-baseline-inference-tta", "kernel_id": "13753285"}, {"ref": "hinamimi/efficientnet-baseline-train-amp-aug", "kernel_id": "13751613"}, {"ref": "siddarthdayasagar/cassava-leaf-disease-detection", "kernel_id": "13028838"}, {"ref": "lukachkhetiani/se-resnext-101-efficientnet-b5-ensemble", "kernel_id": "13061614"}, {"ref": "gudlaarunkumar/cassava-leaf-disease-classification", "kernel_id": "13166798"}, {"ref": "zainahmedsharif/cassanava22efficientnetb3", "kernel_id": "13532680"}, {"ref": "andrcaruso/resnet-dataug-undersampling", "kernel_id": "13712707"}, {"ref": "andrcaruso/exp-efficientnet-train", "kernel_id": "13675204"}, {"ref": "andrcaruso/experimento-resnet50", "kernel_id": "13600500"}, {"ref": "andrcaruso/vgg11-bn-primeira", "kernel_id": "13615431"}, {"ref": "madelinecaples/cassava-model-with-fastai-on-full-dataset", "kernel_id": "13689579"}, {"ref": "sayooj98/cassava-leaf-classification-simple-cnn", "kernel_id": "13555023"}, {"ref": "sunjbs98/cassava-leaf-disease-classification", "kernel_id": "13750906"}, {"ref": "timilehinoladejo/cassava-leaf-disease-classification", "kernel_id": "13136078"}, {"ref": "ysunnyc/cassava-torchxla", "kernel_id": "13913808"}, {"ref": "ysunnyc/cassava-torchxla2", "kernel_id": "13970381"}, {"ref": "ysunnyc/cassava-torchxla2-inf", "kernel_id": "13975541"}, {"ref": "jeevanbhoot/cassava-classification-fastai", "kernel_id": "13567367"}, {"ref": "maximkalinin/cassava-leaf-disease-submission-kernel", "kernel_id": "13863118"}, {"ref": "maximkalinin/cassava-leaf-disease-training-models", "kernel_id": "13863096"}, {"ref": "sneky369/cassava-leaf-disease-tpu-tensorflow-training", "kernel_id": "13834282"}, {"ref": "sneky369/cassava-leaf-disease-training-with-tpu-v2-pods", "kernel_id": "13834309"}, {"ref": "sneky369/cassava-leaf-disease-tpu-tensorflow-inference", "kernel_id": "13703884"}, {"ref": "sneky369/cassava-notebook", "kernel_id": "13508916"}, {"ref": "sneky369/start-with-ensemble-v2-117b7e", "kernel_id": "13081600"}, {"ref": "smirnyaginandr/notebooke180f47a7c", "kernel_id": "13682166"}, {"ref": "varlou23/how-to-become-leaf-doctor-with-deep-learning", "kernel_id": "13377745"}, {"ref": "matveevayulia/cassava-leaf-disease-gpu", "kernel_id": "13592835"}, {"ref": "denismetelev/cassava-leaf-disease-training-with-tpu-v2-pods", "kernel_id": "13987869"}, {"ref": "anantgupt/cassava-leaf-doctor-submission", "kernel_id": "13867500"}, {"ref": "anantgupt/cassava-leaf-doctor-eda-keras", "kernel_id": "13217724"}, {"ref": "medvedevlev/cassava-leaf-disease-tpu-v2-pods-inference", "kernel_id": "13628995"}, {"ref": "medvedevlev/cassava-leaf-disease-training-with-tpu-v2-pods", "kernel_id": "13701863"}, {"ref": "robertlangdonvinci/fastai-efficientnetb4-mixup", "kernel_id": "13035038"}, {"ref": "robertlangdonvinci/tez-with-resnest50", "kernel_id": "13279582"}, {"ref": "ekaterinazhuikova/xception-cassava-leaf-disease-classification", "kernel_id": "13670357"}, {"ref": "ekaterinazhuikova/cassava-leaf-disease-classification-cnn", "kernel_id": "13630445"}, {"ref": "ekaterinazhuikova/xception-cassava-leaf-disease-classification-2", "kernel_id": "13694227"}, {"ref": "dongyingwang/cassava-leaf-disease-classification-predictions", "kernel_id": "13296423"}, {"ref": "ramyapravallika/cassava-leaf-disease-classification", "kernel_id": "13345266"}, {"ref": "junyingsg/end-to-end-cassava-disease-classification-in-keras", "kernel_id": "13437390"}, {"ref": "bardankhadka/cassava-leaf-disease-effiecientnet-pytorch", "kernel_id": "13343798"}, {"ref": "sandeepganesh049/model7-v3", "kernel_id": "13806864"}, {"ref": "sandeepganesh049/submission-basic", "kernel_id": "13719141"}, {"ref": "sandeepganesh049/tfrecord-model1", "kernel_id": "13699182"}, {"ref": "sandeepreddie7/cassavaleafdiseasedetection-keras", "kernel_id": "13975712"}, {"ref": "krashennikovalexandr/cassava-leaf-disease-tpu-tensorflow-inference", "kernel_id": "13857194"}, {"ref": "krashennikovalexandr/cassava-resnet50", "kernel_id": "13755017"}, {"ref": "krashennikovalexandr/cassava-leaf-disease-classification-resnet50", "kernel_id": "13753455"}, {"ref": "grudindmitry/notebookaa90f1198e", "kernel_id": "13717048"}, {"ref": "grudindmitry/sportanaliz", "kernel_id": "13722319"}, {"ref": "antoniovalbuena/av-cassava-challenge", "kernel_id": "13280543"}, {"ref": "tomoakiishii/cassava-eda-and-baseline-with-keras-cnn", "kernel_id": "13334123"}, {"ref": "saztorralba/leafdiseaseclassification-residualcnn-pyt", "kernel_id": "13223302"}, {"ref": "grigorelucian/classic-cnn-cassava-leaf-disease", "kernel_id": "13060347"}, {"ref": "grigorelucian/efficientnet-cassava-leaf-disease", "kernel_id": "13102519"}, {"ref": "grigorelucian/simple-eda-cassava-leaf-disease", "kernel_id": "13102290"}, {"ref": "meraywang/leafdiseaseclassi-with-tez", "kernel_id": "13357418"}, {"ref": "daniyalshaiq/cassava-leaf-classification", "kernel_id": "13138302"}, {"ref": "nozarchos/the-shortest-way-to-tensorflow-baseline", "kernel_id": "13875603"}, {"ref": "mittsommer/cassav-submission", "kernel_id": "13468551"}, {"ref": "jangwonoh/pytorch-efficientnet-baseline-inference-tta", "kernel_id": "13953970"}, {"ref": "jangwonoh/pytorch-efficientnet-baseline-train-amp-aug", "kernel_id": "13952002"}, {"ref": "ysthehurricane/cassava-leaf-disease-classification", "kernel_id": "13549582"}, {"ref": "emorkrin/keras-baseline", "kernel_id": "13022549"}, {"ref": "marcosoliveirajr/nb-cassava-marcos", "kernel_id": "13568065"}, {"ref": "marcosoliveirajr/nb-cassava-marcos-submission", "kernel_id": "13571499"}, {"ref": "changgihong/notebook-sample", "kernel_id": "13282430"}, {"ref": "abdulhadialshareef/effecientnet-b5", "kernel_id": "13609476"}, {"ref": "andrecaruso/experimento-resnet34", "kernel_id": "13663270"}, {"ref": "andrecaruso/multiclass", "kernel_id": "13411742"}, {"ref": "miriampizzattocolpo/notebook-submissao", "kernel_id": "13249143"}, {"ref": "miriampizzattocolpo/cassava-solu-o-modelo-final", "kernel_id": "13152290"}, {"ref": "garibaldisilveira/cassava-garibaldd", "kernel_id": "13515105"}, {"ref": "leandrocamargo/cassava-leaf-classification", "kernel_id": "13467168"}, {"ref": "bruno2siqueira/notebook0557b79a42", "kernel_id": "13540920"}, {"ref": "nguyenthanhnghi/color-filter-tool", "kernel_id": "13285749"}, {"ref": "wangyuf/notebook7b31fc3dbf", "kernel_id": "13629501"}, {"ref": "rahulmumbai/image-preprocessing-for-cassava-leaf-disease", "kernel_id": "13380479"}, {"ref": "liustrong/efficientnet-model-ensemble-single-tta-inference", "kernel_id": "13958924"}, {"ref": "upmer11/submit", "kernel_id": "13665231"}, {"ref": "karlisesoares/cassava", "kernel_id": "13512194"}, {"ref": "imajoc/cnn-base", "kernel_id": "13673879"}, {"ref": "vinciusalveshax/cassava-submission-template", "kernel_id": "13670385"}, {"ref": "talonolasco/notebookae18fe1df1", "kernel_id": "13587519"}, {"ref": "paulorblima/notebook80a7b1d2d3", "kernel_id": "13603554"}, {"ref": "paulorblima/notebookeb6fed02ad", "kernel_id": "13573389"}, {"ref": "paulorblima/notebook63977becc3", "kernel_id": "13643882"}, {"ref": "bruno2s/notebook-20201912-v0", "kernel_id": "13587861"}, {"ref": "garibalddd/cassava-garibaldd", "kernel_id": "13602318"}, {"ref": "nelsontraversi/colabresnet50", "kernel_id": "13652220"}, {"ref": "matheusgelsdorf1/inference-notebook", "kernel_id": "13619163"}, {"ref": "ollievander/cassava-notebook-keras-multiple-pretrained-models", "kernel_id": "13903651"}, {"ref": "divya8shakti/casava-starter", "kernel_id": "13873418"}, {"ref": "funky15/tpus-resnet101-with-5-fold", "kernel_id": "14058480"}, {"ref": "funky15/5-fold-tpu-inference-res50-res101-effb4", "kernel_id": "14006248"}, {"ref": "shash152543/cassava-inference-code", "kernel_id": "14186202"}, {"ref": "shash152543/cassava-inference-code-resnext-efficenetnet", "kernel_id": "14260338"}, {"ref": "ibraheemmoosa/simple-attempt-with-fast-ai", "kernel_id": "14650436"}, {"ref": "shovkun/tfrecords-2020-generator", "kernel_id": "14473903"}, {"ref": "junnanlu/pretrained-cassava-model", "kernel_id": "14234905"}, {"ref": "luonganhtuan93/ensemble-resnext50-32x4d-efficientnet", "kernel_id": "14756482"}, {"ref": "enricogrisan/golds-vit-submission", "kernel_id": "14109551"}, {"ref": "saurabh2mishra/cassava-leaf-disease-inference-label-smoothing", "kernel_id": "14015712"}, {"ref": "janaushad98/cassava-eda", "kernel_id": "14676411"}, {"ref": "tunguz/ensemble-resnext50-32x4d-efficientnet-0903", "kernel_id": "14949467"}, {"ref": "alekseyeliseev/pytorch-efficientnet-baseline-inference-tta", "kernel_id": "14112617"}, {"ref": "alekseyeliseev/pytorch-vit-baseline-inference-tta", "kernel_id": "14520819"}, {"ref": "geraldk/cassava-leaf-disease-classification", "kernel_id": "14312931"}, {"ref": "ttahara/infer-cassava-ens09", "kernel_id": "14980072"}, {"ref": "ttahara/infer-cassava-ens10", "kernel_id": "14995828"}, {"ref": "stahh007/train-tfhub-models-on-tpu-tensorflow", "kernel_id": "14262770"}, {"ref": "anmolkapoor/tf-efficientnetb4-mixup-cutmix-gridmask-cv-0-90", "kernel_id": "14813555"}, {"ref": "ldmtwo/misc-pretrainedmodels", "kernel_id": "14728461"}, {"ref": "usmanr149/create-tfrecords-output", "kernel_id": "14586435"}, {"ref": "tanlikesmath/cassava-pytorch-xla-tpu-starter-gpu-inference", "kernel_id": "14022684"}, {"ref": "tanlikesmath/cassava-classification-eda-fastai-plc", "kernel_id": "14113364"}, {"ref": "daveccampbell/cassava-bitempered-logistic-loss-inference", "kernel_id": "14044490"}, {"ref": "tiandaye/infer-cspresnext50-512-5folds", "kernel_id": "14259667"}, {"ref": "kanruwang/cassava-ensemble-efficientnet-resnext-private0-901", "kernel_id": "14887844"}, {"ref": "plabannayak/cassava-classification-fastai2", "kernel_id": "14135871"}, {"ref": "kailassrt/leaf-training-folds", "kernel_id": "14465262"}, {"ref": "andreeasandu/leaf-disease-classification", "kernel_id": "14534478"}, {"ref": "jabertuhin/classification-with-pytorchlightning-using-tpu", "kernel_id": "14261709"}, {"ref": "iraqai/resnext-network-wightedsampling-aug-train-0-81", "kernel_id": "14587079"}, {"ref": "iraqai/keras-efficientnet7-aug-tpu-training-88", "kernel_id": "14669892"}, {"ref": "iraqai/dataefficient-image-transformers-84-inferance", "kernel_id": "14060830"}, {"ref": "quarkspark/cassava-final-1", "kernel_id": "14978509"}, {"ref": "srjm111/visualize-aug-images-from-imagedatagenerator", "kernel_id": "14345060"}, {"ref": "shubham219/cassava-down-sampled-512-512-records", "kernel_id": "14103652"}, {"ref": "shubham219/combining-old-and-new-cassava-data", "kernel_id": "14522922"}, {"ref": "narendra/cassava-pytorch-baseline-resnxt", "kernel_id": "14122405"}, {"ref": "narendra/cassava-efficientnet-submision", "kernel_id": "14165951"}, {"ref": "soumadiptya/cassava-disease-classification-introductory", "kernel_id": "14747487"}, {"ref": "srgrace/cassava-leaf-desease-classification-fastai", "kernel_id": "14362807"}, {"ref": "masterstar/how-to-get-input-gcs-bucket", "kernel_id": "14619761"}, {"ref": "masterstar/get-gcs-cassava-leaf-disease-classification", "kernel_id": "14639084"}, {"ref": "trushk/a-pytorch-template-for-experimentation", "kernel_id": "14786863"}, {"ref": "trushk/model-validation-learning-rate-monitoring", "kernel_id": "14899889"}, {"ref": "trushk/leaf-detection-using-opencv", "kernel_id": "14718293"}, {"ref": "trushk/eda-leaf-disease", "kernel_id": "14433226"}, {"ref": "kozistr/valid-optimize-cv", "kernel_id": "14517001"}, {"ref": "kozistr/inference-rns50-effnet-b4", "kernel_id": "14460402"}, {"ref": "chickck/cassava-ensemble-tta", "kernel_id": "14143335"}, {"ref": "shumpf/first", "kernel_id": "14802322"}, {"ref": "shumpf/first-3", "kernel_id": "14956931"}, {"ref": "jjmachan/casava-classification-eda", "kernel_id": "14120292"}, {"ref": "sanjitschouhan/cassava-snapmix", "kernel_id": "14842368"}, {"ref": "sanjitschouhan/cassava", "kernel_id": "14297448"}, {"ref": "sanjitschouhan/cassava-leaf-disease-generator-kfold", "kernel_id": "14190007"}, {"ref": "krisho007/simple-gpu-pytorch-lightning-training", "kernel_id": "14226722"}, {"ref": "krisho007/simple-pytorch-lightning-inference", "kernel_id": "14281984"}, {"ref": "iamprateek/darknet-cassava", "kernel_id": "14182656"}, {"ref": "iamprateek/cassava-tpu-inference", "kernel_id": "14802937"}, {"ref": "iamprateek/cassava-tpu", "kernel_id": "14793243"}, {"ref": "iamprateek/cassava-keras-tf", "kernel_id": "14644890"}, {"ref": "seriousran/adam-vs-adamp-iclr-2021", "kernel_id": "14317038"}, {"ref": "rosewambui/use-customdata-folds-2019", "kernel_id": "14620688"}, {"ref": "tensorflow85/train-model-cassava-leaf-disease-classification", "kernel_id": "14754423"}, {"ref": "anmol4210/trainefficientnet", "kernel_id": "14292255"}, {"ref": "ragnar123/effb5-cv-0-9007-single-model-tf", "kernel_id": "14527205"}, {"ref": "vkrathi03/cassava-classification-with-cnn", "kernel_id": "14841102"}, {"ref": "bununtadiresmenmor/submission-starter-keras-efficientnet", "kernel_id": "14091829"}, {"ref": "bununtadiresmenmor/starter-keras-efficientnet", "kernel_id": "14083849"}, {"ref": "kpriyanshu256/leaf-inference-en-b4-b4-vit-resnext", "kernel_id": "14963568"}, {"ref": "mohneesh7/what-happens-if-i-predict-the-majority-class", "kernel_id": "14554310"}, {"ref": "mohneesh7/new-submission-notebook-cassava", "kernel_id": "14637575"}, {"ref": "mohneesh7/cassava-2020-case-study-full-progress-keras-gpu", "kernel_id": "14626176"}, {"ref": "srg9000/autoencder-pretraining-with-merged-dataset", "kernel_id": "14585899"}, {"ref": "srg9000/tf-keras-tfrecords-on-tpu-with-augmentation", "kernel_id": "14351852"}, {"ref": "telljoy/noisy-label-eda-with-cleanlab", "kernel_id": "14477820"}, {"ref": "electro/pseudo-labeling-extra-images-from-2019", "kernel_id": "14343089"}, {"ref": "electro/0-88-model-is-actually-not-bad-error-analysis", "kernel_id": "14439704"}, {"ref": "mnavaidd/casava-leaf-disease-classification", "kernel_id": "14587969"}, {"ref": "mnavaidd/casava-leaf-disease-classification-with-keras", "kernel_id": "14525104"}, {"ref": "sm00ther/cassava-keras-test", "kernel_id": "14388801"}, {"ref": "sushant097/simple-transfer-learning-with-xception", "kernel_id": "14628622"}, {"ref": "xiyuanliu/notebookd895a47bc2", "kernel_id": "14299529"}, {"ref": "lavrikovav/cassava-pytorch-lightning-inference18", "kernel_id": "14345629"}, {"ref": "graf10a/cldc-image-duplicates-with-dbscan", "kernel_id": "14174921"}, {"ref": "muralidhar972/notebookbc0d857457", "kernel_id": "14537874"}, {"ref": "durbin164/tpu-bitempered-logistic-loss-inferance", "kernel_id": "14111611"}, {"ref": "durbin164/tpu-visual-transformer-vit-keras-tf-inferance", "kernel_id": "14353935"}, {"ref": "durbin164/tpu-visual-transformer-vit-keras-tf", "kernel_id": "14308864"}, {"ref": "vinayakkunder/cassava-leaf-classification", "kernel_id": "14109936"}, {"ref": "prashant2301/cassava-efficientnet", "kernel_id": "14060358"}, {"ref": "raipachi0704/22i-efficientnet-b4-cutmix-tta", "kernel_id": "14439576"}, {"ref": "raipachi0704/20i-efficientnet-b3-later-cutmix-tta", "kernel_id": "14398182"}, {"ref": "raipachi0704/train-weights-optimization", "kernel_id": "14483596"}, {"ref": "raipachi0704/inference-weights-optimization", "kernel_id": "14485909"}, {"ref": "raipachi0704/inference-stacking-2dcnn-ver3", "kernel_id": "14958372"}, {"ref": "raipachi0704/train-stacking-2dcnn-ver3", "kernel_id": "14957339"}, {"ref": "raipachi0704/33i-seresnext50", "kernel_id": "14946209"}, {"ref": "raipachi0704/34i-efficientnet-b5", "kernel_id": "14936360"}, {"ref": "raipachi0704/35i-vit16", "kernel_id": "14936481"}, {"ref": "raipachi0704/inference-blending-2dcnn-ver3-weights", "kernel_id": "14973010"}, {"ref": "hondykuma/cassava-resnext50-32x4d-starter-training", "kernel_id": "14728127"}, {"ref": "hondykuma/cassava-resnext50-32x4d-starter-inference", "kernel_id": "14728160"}, {"ref": "hondykuma/ensemble-resnext50-32x4d-efficientnet", "kernel_id": "14516116"}, {"ref": "hondykuma/pytorch-efficientnet-baseline-train-amp-aug2", "kernel_id": "14256466"}, {"ref": "hondykuma/cassava-leaf-disease-exploratory-data-analysis", "kernel_id": "14115087"}, {"ref": "chocozzz/sub4-effx3-regx3-tta-3", "kernel_id": "14983204"}, {"ref": "anonamename/cassava-emsemble-v2-stacking", "kernel_id": "14765225"}, {"ref": "shemskurtoglu/cassava-001", "kernel_id": "14205203"}, {"ref": "minhhoai1001/pytorch-efficientnet-and-visualization-tta", "kernel_id": "14158600"}, {"ref": "shantanu778/casava-efficient-pytorch", "kernel_id": "14444489"}, {"ref": "legendsplay/vgg16-transfer-learning", "kernel_id": "14105840"}, {"ref": "cdk292/efficientnet-b7-optimising-tta-with-r-and-keras", "kernel_id": "14103044"}, {"ref": "cdk292/knowledge-distillation-with-r-and-keras-tf", "kernel_id": "14710448"}, {"ref": "cdk292/efficientnet-noisy-student-with-r-and-keras", "kernel_id": "14471988"}, {"ref": "syxuming/multmodel-inference-baseline", "kernel_id": "14644507"}, {"ref": "syxuming/b4-resnest-ensemble", "kernel_id": "14887796"}, {"ref": "antimatter7/quick-introduction-to-fastai-beginner-tutorial", "kernel_id": "14275017"}, {"ref": "fyuta24/cassava-simple-visualization", "kernel_id": "14339967"}, {"ref": "vijendersingh412/leaf-disease-classification-using-pytorch-with-res", "kernel_id": "14074869"}, {"ref": "nageshsingh/cassava-leaf-disease-classification-efficientnetb4", "kernel_id": "14087696"}, {"ref": "cedricmanouan11/cldp-pytorch-lightning-train", "kernel_id": "14633384"}, {"ref": "woshifym/upload-gcp-jupyterlab-data-to-kaggle-dataset", "kernel_id": "14394365"}, {"ref": "woshifym/cassava-mean-std-calculation", "kernel_id": "14239392"}, {"ref": "anhtu96/cassava-centercrop-resize-oversample", "kernel_id": "14366442"}, {"ref": "anhtu96/cassava-oversample-create-tfrecords", "kernel_id": "14208990"}, {"ref": "aaroswings/ensemble-inference-notebook", "kernel_id": "14485564"}, {"ref": "ttkagglett/cassava-byol-training", "kernel_id": "14282891"}, {"ref": "ttkagglett/cassava-cnn-training-with-pre-trained-weights", "kernel_id": "14343948"}, {"ref": "ttkagglett/cassava-cnn-training-with-noise-labels", "kernel_id": "14531430"}, {"ref": "jaideepvalani/with-b4-pytorch-efficientnet-baseline", "kernel_id": "14771514"}, {"ref": "mobassir/vit-pytorch-xla-tpu-for-leaf-disease", "kernel_id": "14090474"}, {"ref": "mobassir/faster-pytorch-tpu-baseline-for-cld-cv-0-9", "kernel_id": "14105727"}, {"ref": "rahuldshetty/cassava-leaf-disease-w-data-augmentation", "kernel_id": "14819527"}, {"ref": "varungadre0910/cassava-trainin-distillation-final", "kernel_id": "14824963"}, {"ref": "aritrag/hyperparameter-optimization-with-w-b-sweeps", "kernel_id": "14386188"}, {"ref": "alizkzm/deepsharif", "kernel_id": "14633025"}, {"ref": "peterpetrov826/saving-cassava-with-fastai", "kernel_id": "14219767"}, {"ref": "shamsulalam2918/cassava-leaf-disease", "kernel_id": "14993996"}, {"ref": "brianstumph846/efficientnet-b4-with-frozen-batchnorm2d-btll", "kernel_id": "14074140"}, {"ref": "brianstumph846/effnet-b4-with-frozen-bn2d-btll-inference", "kernel_id": "14938817"}, {"ref": "dliend/rapid-iteration-and-experiment-tracking-with-wandb", "kernel_id": "14608319"}, {"ref": "ajayganti/keras-efficientnet-b4", "kernel_id": "14268594"}, {"ref": "flyman/se50-renext", "kernel_id": "14743221"}, {"ref": "ayuraj/cassava-2019-2020-dataset-prep-versioning-w-w-b", "kernel_id": "14644899"}, {"ref": "ayuraj/efficientnet-mixup-k-fold-using-tf-and-wandb", "kernel_id": "14212863"}, {"ref": "ayuraj/tensorflow-inference-no-tta", "kernel_id": "14234035"}, {"ref": "sj161199/snapshot-training", "kernel_id": "14554010"}, {"ref": "sj161199/cassava-custom-training-2019-2020", "kernel_id": "14943957"}, {"ref": "imogenxingren/merge-images-std-mean", "kernel_id": "14670908"}, {"ref": "pranavraikokte/efficientnet-baseline-tpu", "kernel_id": "14188023"}, {"ref": "ramjib/cassava-leaf-disease-classification-model", "kernel_id": "14073077"}, {"ref": "nanguyen/cassava-simple-baseline", "kernel_id": "14158315"}, {"ref": "c7934597/no-tta-cassava-resnext50-32x4d-inference-lb0-903", "kernel_id": "14010853"}, {"ref": "ashikshafi/cassava-leaf-disease-classification-fastai", "kernel_id": "14835491"}, {"ref": "raphbeligs/cassava-leaf-disease-classif-pre-trained-model", "kernel_id": "14289905"}, {"ref": "tiboas/summary-cassava-trans-learn-stratified-kfold", "kernel_id": "14966750"}, {"ref": "noelmat/cassava-with-tf-2-4-1-and-effnet-1-tpus", "kernel_id": "14933165"}, {"ref": "noelmat/stratified-k-fold-tfrecords", "kernel_id": "14618681"}, {"ref": "black9t/cassava-classification-program", "kernel_id": "14414470"}, {"ref": "kkmax1015/keras-cassava-efficientnetb4-for-beginner", "kernel_id": "14156348"}, {"ref": "kunals726/cassava-leaf-disease-classification", "kernel_id": "14533830"}, {"ref": "houssemayed/exploring-images-augmentation-techniques", "kernel_id": "14120638"}, {"ref": "jamsilkaggle/denoising-the-dataset-pytorch", "kernel_id": "14576940"}, {"ref": "jamsilkaggle/efficientnet-results-analysis", "kernel_id": "14285598"}, {"ref": "kkonge15/second-part-of-sds-m4-project-final", "kernel_id": "14054130"}, {"ref": "kkonge15/first-part-of-sds-m4-project-final", "kernel_id": "14054320"}, {"ref": "siddhantsadangi/logreg-baseline-for-beginners", "kernel_id": "14005807"}, {"ref": "imeintanis/cassava-shake-up-report", "kernel_id": "14990891"}, {"ref": "lys620/cassava-leaf-disease-simplecnn", "kernel_id": "14845118"}, {"ref": "godzill22/casava-leaves-comp-first-cnn", "kernel_id": "14879009"}, {"ref": "baap42/cassava-2", "kernel_id": "14201605"}, {"ref": "aikhmelnytskyy/cld-training-with-tpu-on-both-colab-and-kaggle", "kernel_id": "14357354"}, {"ref": "abhhii/getting-started-tpus-cassava-leaf-disease", "kernel_id": "14110203"}, {"ref": "heenakumari/cassava-leaf-disease-classification-dataset-eda", "kernel_id": "14470974"}, {"ref": "dhavalkumar/notebook0a0f16fe57", "kernel_id": "14302451"}, {"ref": "muhammetcepi/resnet18-classification", "kernel_id": "14091033"}, {"ref": "tanulsingh077/cassava-general-model-gpu", "kernel_id": "14630359"}, {"ref": "codeitnow/notebook96049f24fb", "kernel_id": "14930110"}, {"ref": "ashery/cassava-leaf-disease-classification", "kernel_id": "14123252"}, {"ref": "nevret93/cassava-vit-cuda-train", "kernel_id": "14686104"}, {"ref": "nevret93/cassava-vit-cuda-inference", "kernel_id": "14768310"}, {"ref": "user123454321/pytorch-resnet101-starter-inference", "kernel_id": "14064633"}, {"ref": "sapthrishi007/fastai-vit-base-patch32-384-taylorcrossentropyloss", "kernel_id": "14793432"}, {"ref": "stenzr/beginner-eda", "kernel_id": "14129832"}, {"ref": "krev180/start", "kernel_id": "14191814"}, {"ref": "krev180/codiceia", "kernel_id": "14191969"}, {"ref": "anastasiyamakarova/notebookb2d7befbd0", "kernel_id": "14706960"}, {"ref": "anastasiyamakarova/notebook30f4cfa666", "kernel_id": "14444950"}, {"ref": "leonshangguan/inference-test", "kernel_id": "14462070"}, {"ref": "sd4321/fastai-baseline-model", "kernel_id": "14047923"}, {"ref": "muhammadmasdar/simple-dl-detection-of-plant-diseases-guide", "kernel_id": "14314854"}, {"ref": "pplrayang/cassava-leaf-disease-train-rm-c3", "kernel_id": "14563223"}, {"ref": "sawantvishwajeet729/cassava-leaf-with-tpu-resnet-densenet-inception", "kernel_id": "14173001"}, {"ref": "sawantvishwajeet729/casava-submission", "kernel_id": "14395525"}, {"ref": "gengzll/pytorch-efficientnet-baseline-train-amp-aug", "kernel_id": "14181177"}, {"ref": "jakwisn/cassava", "kernel_id": "14968499"}, {"ref": "jitshil143/keras-model", "kernel_id": "14630714"}, {"ref": "jitshil143/cassava-tensorflow-keras-model", "kernel_id": "14298662"}, {"ref": "deliciousd/plant-disease-model", "kernel_id": "14192643"}, {"ref": "wonjunpark/multi-scale-resnext50-32x4d-efficientnet", "kernel_id": "14825329"}, {"ref": "lucca9211/cassava-leaf-disease-tensorflow-inference", "kernel_id": "14015426"}, {"ref": "kjkr73/private-114-public-950-silver-medal-inference", "kernel_id": "14960694"}, {"ref": "songtoan272/resnet", "kernel_id": "14306664"}, {"ref": "martinkolb25/cassava-eda-dataprep", "kernel_id": "14909442"}, {"ref": "martinkolb25/cassava-training", "kernel_id": "14385623"}, {"ref": "martinkolb25/cassava-utils", "kernel_id": "14385630"}, {"ref": "martinkolb25/cassava-inference", "kernel_id": "14385796"}, {"ref": "prasannakumarcr7/notebookc730e11bd5", "kernel_id": "14821849"}, {"ref": "alandata666/cassava-leaf-disease-classification-kears-cnn", "kernel_id": "14379647"}, {"ref": "accountstatus/solt-image-augmentation-on-cassava", "kernel_id": "14574962"}, {"ref": "accountstatus/cnn-model-training-using-masking", "kernel_id": "14900901"}, {"ref": "tailtq/greenlabs-test-3", "kernel_id": "14634733"}, {"ref": "krutpatel2257/cassava-leaf-disease-classification", "kernel_id": "14636848"}, {"ref": "krutpatel2257/cassava-leaf-disease-classification-k-fold", "kernel_id": "14700725"}, {"ref": "krutpatel2257/cassava-leaf-disease-classification-submission", "kernel_id": "14658719"}, {"ref": "krutpatel2257/cassava-leaf-disease-classification-ensemble-sub", "kernel_id": "14976642"}, {"ref": "zlanan/fork-of-b5-89-58-fine-tune", "kernel_id": "14829730"}, {"ref": "zlanan/tf-efficientnetb4-mixup-cutmix-gridmask-cv-0-90", "kernel_id": "14965849"}, {"ref": "shahzad3630/cassava-data-analysis", "kernel_id": "14091098"}, {"ref": "siddalore/cassava-working-with-tfrecords", "kernel_id": "14246021"}, {"ref": "heyytanay/torch-multi-model-trainer-amp-augmentations", "kernel_id": "14420138"}, {"ref": "shashitripurari/enb7-cv-0-901-accuracy", "kernel_id": "14950079"}, {"ref": "suryajrrafl/cassava-cv2-npy-comparison", "kernel_id": "14319836"}, {"ref": "suryajrrafl/metaclassifier-ensembling-using-nns", "kernel_id": "14486985"}, {"ref": "piantic/learning-with-noisy-labels-pytorch-xla-tpu", "kernel_id": "14244032"}, {"ref": "piantic/how-to-finetuning-models-pytorch-xla-tpu", "kernel_id": "14271262"}, {"ref": "piantic/cnn-or-transformer-pytorch-xla-tpu-for-cassava", "kernel_id": "14135809"}, {"ref": "salmaneunus/cassava-classification-7", "kernel_id": "14313153"}, {"ref": "salmaneunus/cassava-classification-6", "kernel_id": "14309110"}, {"ref": "salmaneunus/cassava-classification-9", "kernel_id": "14367662"}, {"ref": "salmaneunus/cassava-classification-10", "kernel_id": "14494469"}, {"ref": "dshekhar/keras-efficentnetb3", "kernel_id": "14502390"}, {"ref": "andreshg/cassava-disease-keras-tf-efficentnet-90", "kernel_id": "14549530"}, {"ref": "andreshg/automatic-eda-libraries-comparisson", "kernel_id": "14537721"}, {"ref": "andreshg/xgboost-optuna-hyperparameter-tunning", "kernel_id": "14445592"}, {"ref": "mb1473/pytorch-lightning-with-efficientnet", "kernel_id": "14477437"}, {"ref": "kyoshioka47/analyze-your-model-performance-by-confusion-matrix", "kernel_id": "14294103"}, {"ref": "marutama/all-train-image-viewer-english", "kernel_id": "14312418"}, {"ref": "marutama/cassava-image-with-thumbnails", "kernel_id": "14327151"}, {"ref": "marutama/optuna-tuning-resnext50-blending-inference", "kernel_id": "14463276"}, {"ref": "marutama/eda-of-resnext-and-efficientnet-inference", "kernel_id": "14574657"}, {"ref": "debasish05/eda-using-computer-vision-tools-and-albumentations", "kernel_id": "14134752"}, {"ref": "capiru/effnetb4-autoaugment-lossfns-ranger-easy-to-start", "kernel_id": "14208846"}, {"ref": "capiru/cassavanet-starter-easy-gpu-tpu-cv-0-9", "kernel_id": "14413374"}, {"ref": "capiru/cassavanet-inference-tta-easy-submission", "kernel_id": "14476793"}, {"ref": "capiru/cassavanet-cutmix-implementation-cv-0-9", "kernel_id": "14591858"}, {"ref": "rajasekar312357/cassava-leaf-detection", "kernel_id": "14589878"}, {"ref": "lifeastuesday/getting-started-tpus-cassava-leaf-disease", "kernel_id": "14649409"}, {"ref": "hhyun2/efficientnet-b3-resnext50-32x4d-cutmix-train", "kernel_id": "14666384"}, {"ref": "hhyun2/hi-efficientnet-b3-resnext50-32x4d-train", "kernel_id": "14355389"}, {"ref": "dawy94/cassava-leaf-disease-classification", "kernel_id": "14304064"}, {"ref": "gpiyama2119/cassava-train-with-pseudo-labeled-plants", "kernel_id": "14795761"}, {"ref": "gpiyama2119/cassava-pseudo-labeling-of-plants-disease", "kernel_id": "14775176"}, {"ref": "rashmiranu/cassava-leaf-disease-classification", "kernel_id": "14627863"}, {"ref": "ankitkumarsaini/efficientnetb0", "kernel_id": "14247768"}, {"ref": "ankitkumarsaini/casava-inference", "kernel_id": "14966457"}, {"ref": "sergeynesteruk/step-by-step-guide-to-denoising-your-labels", "kernel_id": "14479424"}, {"ref": "carlwuuu/test-with-trained-model-weights-for-submission", "kernel_id": "14031592"}, {"ref": "matakaggle/read-tfrec-files", "kernel_id": "14347237"}, {"ref": "sajalvasal/cassava-leaf-disease-classification-using-cnn", "kernel_id": "14731917"}, {"ref": "ritesh2000/tez-on-leaf-disease-classification", "kernel_id": "14191617"}, {"ref": "jingweiqiu/notebook10e8bb8570", "kernel_id": "14238718"}, {"ref": "alankarkharbadikar/efficientnet-keras-starter", "kernel_id": "14103294"}, {"ref": "lokeshduvvuru/squeeze-for-leaves", "kernel_id": "14308121"}, {"ref": "lokeshduvvuru/nasa-netfor-leaves", "kernel_id": "14260488"}, {"ref": "anaselmasry/cassava-leaf-disease-classification", "kernel_id": "14338107"}, {"ref": "anaselmasry/cassava-leaf-disease-classification-v1", "kernel_id": "14341971"}, {"ref": "anaselmasry/modulation-classification-model", "kernel_id": "14496977"}, {"ref": "boscho/snapmix-resnet50-kfolds", "kernel_id": "14755210"}, {"ref": "swarnavasarkar/efficientnet-89-5-tta-n-fold-cross", "kernel_id": "14645019"}, {"ref": "adityavats/efficientnetb7-data-aug-swish", "kernel_id": "14829184"}, {"ref": "omkarkawatgi/cassavaclassifier", "kernel_id": "14211719"}, {"ref": "krishnavaghosh/leaf-shared", "kernel_id": "14450331"}, {"ref": "krishnavaghosh/final-sub", "kernel_id": "14963038"}, {"ref": "saimanojakondi/inference", "kernel_id": "14524465"}, {"ref": "saimanojakondi/knowledge-distillation", "kernel_id": "14650287"}, {"ref": "saimanojakondi/efficientnetb5", "kernel_id": "14203602"}, {"ref": "saimanojakondi/explore-the-rep", "kernel_id": "14110405"}, {"ref": "saimanojakondi/simsaim", "kernel_id": "14009734"}, {"ref": "aayushmishra1512/cassava-leaf-disease-69-acc-simple-cnn-approach", "kernel_id": "14936134"}, {"ref": "izabellaleroy/cassava-leaf-disease-classification-model", "kernel_id": "14750092"}, {"ref": "solosquad1999/vinbigdata-inference-efficientnet-2-classes", "kernel_id": "14165481"}, {"ref": "khanrahim/cassava-efficientnetb3-beginner-88", "kernel_id": "14661608"}, {"ref": "yuvalnavot/cassava-leaf-disease", "kernel_id": "14051403"}, {"ref": "shubham108/ensemble-visiontransformet-vit-efficientnet-5f", "kernel_id": "14392638"}, {"ref": "subhomajumder/cassava-classifier", "kernel_id": "14667566"}, {"ref": "saijananiswaminathan/notebooke4a4562862", "kernel_id": "14821355"}, {"ref": "andrewtomich/cldc-resnet50-fastai", "kernel_id": "14012642"}, {"ref": "pierreballesta/cassava-leaf-disease-histograms", "kernel_id": "14140193"}, {"ref": "pierreballesta/fork-cassava-leaf-disease-efficientnet7", "kernel_id": "14386156"}, {"ref": "pierreballesta/cassava-leaf-disease-efficientnet5-optimisation", "kernel_id": "14986862"}, {"ref": "a10kyadav/cassava-ensemble-inference", "kernel_id": "14876270"}, {"ref": "damoonshahhosseini/kfold-neural-networks", "kernel_id": "14138743"}, {"ref": "damoonshahhosseini/casssavva", "kernel_id": "14472859"}, {"ref": "kashish8610/casava-leaf-disease-detection-83-accuracy", "kernel_id": "14822494"}, {"ref": "kashish8610/keras-tensorflow-efficientnetb3-85", "kernel_id": "14834053"}, {"ref": "markwijkhuizen/cassava-leaf-disease-jpeg-tfrecords-generation", "kernel_id": "14754484"}, {"ref": "markwijkhuizen/cassava-leaf-disease-inference-5-fold", "kernel_id": "14754145"}, {"ref": "markwijkhuizen/tf-efficientnetb4-mixup-cutmix-gridmask-cv-0-90", "kernel_id": "14694463"}, {"ref": "anaibarra/oc-p8-cassava", "kernel_id": "14473612"}, {"ref": "zekun98/xla-vision-transformer-vit", "kernel_id": "14155884"}, {"ref": "sajidhussain3/beginners-take-on-cassava-kfold-augment-keras", "kernel_id": "14288422"}, {"ref": "akataev96/cassava-predict", "kernel_id": "14162753"}, {"ref": "atsushiiwasaki/pytorch-cassava-baseline-efficientnet-b0", "kernel_id": "14040094"}, {"ref": "tunhunhminh/seresnext50-snapmix", "kernel_id": "14404350"}, {"ref": "albertozorzetto/leaf-disease-xception-fine-tuning-strat-k-fold", "kernel_id": "14189863"}, {"ref": "yerramvarun/learnable-histograms-implementation", "kernel_id": "14594193"}, {"ref": "wenlia/pytorch-baseline-train-arcface-amp-aug", "kernel_id": "14080434"}, {"ref": "wenlia/pytorch-baseline-inference-arcface-amp-aug", "kernel_id": "14049836"}, {"ref": "udbhavprasad1/cnn-with-pytorch", "kernel_id": "14644546"}, {"ref": "okawatsubasa/how-to-become-leaf-doctor-with-deep-learning", "kernel_id": "14276109"}, {"ref": "okawatsubasa/vision-transformer-vit-tutorial-baseline", "kernel_id": "14552335"}, {"ref": "saratchendra/cassava-leaf-disease-classification-easy-approach", "kernel_id": "14135013"}, {"ref": "imokuri/cassava-inference", "kernel_id": "14264662"}, {"ref": "houstonasantos/cassavaleafdisease", "kernel_id": "14917814"}, {"ref": "munmun2004/kaggle", "kernel_id": "14689988"}, {"ref": "munmun2004/casava-leaf-disease-classification", "kernel_id": "14685447"}, {"ref": "elysium1436/tpu-bitempered-radam-cutmix-cv5-tf-data-tfrec", "kernel_id": "14413079"}, {"ref": "negreaclaudiu/generate-new-images-using-cutmix-a-beginner-guide", "kernel_id": "14126487"}, {"ref": "jagadish13/resnet200d-reliable-pub-private-lb-and-cv", "kernel_id": "14840092"}, {"ref": "kutaykutlu/tpus-leaf-disease-simple-inference", "kernel_id": "14029574"}, {"ref": "kutaykutlu/tpus-resnet50-leaf-disease", "kernel_id": "14022076"}, {"ref": "kutaykutlu/efficientnet-b7-clear-tpu-0-86-0-9", "kernel_id": "14333778"}, {"ref": "kutaykutlu/efficient7-simple-inference", "kernel_id": "14292479"}, {"ref": "dengjunli/djl2-epoch20-eff", "kernel_id": "14569112"}, {"ref": "dengjunli/notebookb0f4aa2f9c", "kernel_id": "14448005"}, {"ref": "dengjunli/djl2-epoch20-eff-4aad58", "kernel_id": "14810406"}, {"ref": "gauravsahani/starter-approach-to-cassava-leaf-detection", "kernel_id": "14558701"}, {"ref": "hamorahadi/notebook37e2e06ffe", "kernel_id": "14460770"}, {"ref": "jinssaa/pytorch-efficientnet-baseline-with-sam-optimizer", "kernel_id": "14179882"}, {"ref": "louisheublein/cassava-abstract-notebook", "kernel_id": "14110624"}, {"ref": "namantuli/ensemble-inferencev2-1-889683", "kernel_id": "14978093"}, {"ref": "aidtaleb/compete", "kernel_id": "14628301"}, {"ref": "hanson0910/pseudo-label", "kernel_id": "14062616"}, {"ref": "debarshichanda/gradcam-visualize-your-cnn", "kernel_id": "14486840"}, {"ref": "debarshichanda/seresnext50-but-with-attention", "kernel_id": "14997696"}, {"ref": "omaimaelamrani/notebook97e3e98604", "kernel_id": "14455428"}, {"ref": "akashsdas/cassava-leaf-disease-classification-old-submission", "kernel_id": "14164861"}, {"ref": "wajidlinux/using-cnn", "kernel_id": "14989235"}, {"ref": "mohamedelwaghf/transformers-leaf-classification", "kernel_id": "14431833"}, {"ref": "raufmomin/vision-transformer-vit-from-scratch", "kernel_id": "14819178"}, {"ref": "raufmomin/vision-transformer-vit-fine-tuning", "kernel_id": "14820090"}, {"ref": "akimball002/cassava-submission-88-6-lb", "kernel_id": "14990078"}, {"ref": "hassanikram/efficientnet-cassava-leaf-disease-notebook", "kernel_id": "14079598"}, {"ref": "sanchitvj/stratified-k-fold-and-multiple-configs", "kernel_id": "14684122"}, {"ref": "gayathrirprog/cassava-comp-keras-image-processing-conv-2d", "kernel_id": "14306352"}, {"ref": "nosanmark/newensemble-cassava", "kernel_id": "14794444"}, {"ref": "cpfulwani/notebook1f1f90175a", "kernel_id": "14101937"}, {"ref": "mikelfernandes/cassava-leaf-disease-eda", "kernel_id": "14002352"}, {"ref": "nelsonwongisme/for-dummies-tf-keras-data-augmentation", "kernel_id": "14573474"}, {"ref": "nelsonwongisme/cassava-plant-disease-classification", "kernel_id": "14702334"}, {"ref": "tmhrkt/cassava-cleanlab-with-efficientnet-b0", "kernel_id": "14141664"}, {"ref": "sanjayarvind/submit", "kernel_id": "14521260"}, {"ref": "srisuvethacs/cassava-leaf-detection-suvetha", "kernel_id": "14718170"}, {"ref": "ketarajusurya/cassava-leaf-disease", "kernel_id": "14007689"}, {"ref": "tt0721/efficientnet-baseline-by-pytorch", "kernel_id": "14599583"}, {"ref": "tt0721/cassava-pytorch-baseline", "kernel_id": "14122175"}, {"ref": "homiarafarhana/cassava-2nd", "kernel_id": "14543601"}, {"ref": "masmask/notebook1533f06f1d", "kernel_id": "14991532"}, {"ref": "munjaldesai/cassava-leaf-tpu", "kernel_id": "14061837"}, {"ref": "luizhemerly/cassavasub", "kernel_id": "14069960"}, {"ref": "sarangbhatnagar/easy-code-efficientnetb3-submission", "kernel_id": "14184027"}, {"ref": "sarangbhatnagar/leaf-efficientnet-84-5-percent-accuracy", "kernel_id": "14110029"}, {"ref": "manojkumars00/cassava-leaf-disease-healthy-unhealthy", "kernel_id": "14563027"}, {"ref": "manojkumars00/casava-leaf-disease-unhealthy-leaf-classification", "kernel_id": "14579105"}, {"ref": "manojkumars00/casava-leaf-disease-simple-classification", "kernel_id": "14429092"}, {"ref": "hotsonhonet/loading-and-uploading-submissions", "kernel_id": "14073149"}, {"ref": "underwearfitting/13models-soft-sin-sheep-chen-stacking", "kernel_id": "14980907"}, {"ref": "vkehfdl1/for-korean-cassava", "kernel_id": "14302184"}, {"ref": "vkehfdl1/cassava-baseline-with-detailed-explanation", "kernel_id": "14369807"}, {"ref": "chengsiyuan1019/res-snapmix-fold012-multi", "kernel_id": "14667401"}, {"ref": "abhinavshinow/casava-vgg", "kernel_id": "14814119"}, {"ref": "noobzik/tpu-81-9", "kernel_id": "14737750"}, {"ref": "ryohatano/efficientnet-and-bi-tempered-w-pytorch-lightning", "kernel_id": "14101482"}, {"ref": "davidvazquezcic/ensamble-effnb2-resnet50", "kernel_id": "14610241"}, {"ref": "vyombhatia/repvgg-easy-training", "kernel_id": "14418110"}, {"ref": "vyombhatia/vision-transformers-are-easy", "kernel_id": "14100589"}, {"ref": "ikohere/without-balance-e", "kernel_id": "14990894"}, {"ref": "sergiocalo/model-ensemble", "kernel_id": "14038024"}, {"ref": "vickygoyal/training", "kernel_id": "14632252"}, {"ref": "vickygoyal/inference", "kernel_id": "14632310"}, {"ref": "vrpirates/making-fold", "kernel_id": "14109366"}, {"ref": "colinflueck/simple-leaf-classification", "kernel_id": "14528257"}, {"ref": "darknesszx/darknesszxzxx", "kernel_id": "14240018"}, {"ref": "darknesszx/just-a-normal-start", "kernel_id": "14156126"}, {"ref": "japandata509/ensemble-resnext50-32x4d-efficientnet-0-903", "kernel_id": "14216398"}, {"ref": "japandata509/how-to-analyze-leaderboard-easily", "kernel_id": "14437027"}, {"ref": "vivekprajapati2048/tpus-cassava-leaf-disease", "kernel_id": "14005112"}, {"ref": "vivekprajapati2048/fork-of-tpus-cassava-leaf-disease-inceptionv3-2", "kernel_id": "14964610"}, {"ref": "spoon69/spoon-cassava-resize-384", "kernel_id": "14841218"}, {"ref": "alexyg/training-models", "kernel_id": "14697699"}, {"ref": "alexyg/submit", "kernel_id": "14782795"}, {"ref": "pupilshuo/cassava-leaf-disease-baseline", "kernel_id": "14321589"}, {"ref": "pupilshuo/efficientb4-baseline", "kernel_id": "14814065"}, {"ref": "pupilshuo/cassavanet-inference-tta-easy-submission", "kernel_id": "14493139"}, {"ref": "rajeev064/cnn-for-cassava-leaf-using-efficientnet", "kernel_id": "14319149"}, {"ref": "jianghhhh/yzy-vit-inference", "kernel_id": "14489497"}, {"ref": "jianghhhh/yzy-inference-demo", "kernel_id": "14976047"}, {"ref": "kasevgen/cassava-leaf-classification-with-keras", "kernel_id": "14288256"}, {"ref": "hideyauehara/ensemble", "kernel_id": "14598690"}, {"ref": "devonstanfield/cassava-train", "kernel_id": "14807493"}, {"ref": "devonstanfield/cassava-infer", "kernel_id": "14970520"}, {"ref": "kerrfitzgerald/wolf359", "kernel_id": "14949568"}, {"ref": "adityakane/issue-46871-solution", "kernel_id": "14645919"}, {"ref": "adityakane/cassava-stratified-k-folds-tfrecords-maker", "kernel_id": "14537066"}, {"ref": "adityakane/inference", "kernel_id": "14297923"}, {"ref": "adityakane/tfdata-efficientnet", "kernel_id": "14219557"}, {"ref": "sanskarram/eda-cassava-begineer", "kernel_id": "14408893"}, {"ref": "sanskarram/bitsindri", "kernel_id": "14327439"}, {"ref": "sanskarram/cassava-tta-inference", "kernel_id": "14660386"}, {"ref": "sanskarram/cassava-leaf-using-fouriermix", "kernel_id": "14476814"}, {"ref": "virajkadam/cassava-leaf-disease-classification-tpu", "kernel_id": "14102111"}, {"ref": "scarecrow2020/efficientnetb5-optuna", "kernel_id": "14777612"}, {"ref": "scarecrow2020/assembly-tta-efnb0-b5-xception-cutmix-augm", "kernel_id": "14660895"}, {"ref": "scarecrow2020/how-to-create-tfrecord-cassava-leaf", "kernel_id": "14692930"}, {"ref": "gzl0506/pytorch-effb5-baseline-train-fold4", "kernel_id": "14845794"}, {"ref": "gzl0506/pytorch-effb5-baseline-train-fold1", "kernel_id": "14837567"}, {"ref": "gzl0506/pytorch-effb5-baseline-train-fold0", "kernel_id": "14837593"}, {"ref": "gzl0506/pytorch-effb5-baseline-train-fold2", "kernel_id": "14841042"}, {"ref": "gzl0506/pytorch-effb5-baseline-train-fold3", "kernel_id": "14841061"}, {"ref": "gzl0506/pytorch-effb2-baseline-train-fold0", "kernel_id": "14798237"}, {"ref": "gzl0506/pytorch-effb2-baseline-train-fold1", "kernel_id": "14798263"}, {"ref": "gzl0506/pytorch-effb2-baseline-train-fold2", "kernel_id": "14800826"}, {"ref": "gzl0506/pytorch-effb2-baseline-train-fold3", "kernel_id": "14800835"}, {"ref": "gzl0506/pytorch-effb2-baseline-train-fold4", "kernel_id": "14811287"}, {"ref": "vishnupraneeth/leaf-disease-efficientnet-svm", "kernel_id": "14105071"}, {"ref": "yindachen/vit-ensemble-cyd", "kernel_id": "14662522"}, {"ref": "firechief/zyhcostsensitive", "kernel_id": "14700594"}, {"ref": "firechief/notebook30ea8fa69f", "kernel_id": "14734604"}, {"ref": "firechief/zyhresnet2", "kernel_id": "14726240"}, {"ref": "firechief/zyhresnet", "kernel_id": "14720265"}, {"ref": "sihyunlee/efficientnet", "kernel_id": "14302667"}, {"ref": "tornikeonoprishvili/extra-notebook", "kernel_id": "14344766"}, {"ref": "abhimanyukarshni/train-cassava-starter-fold-0-1-nf-net", "kernel_id": "14941941"}, {"ref": "devanshusingh/notebook7a30253b3d", "kernel_id": "14531501"}, {"ref": "andyjianzhou/cassava-inferencing-efficientnetb4-resnext50", "kernel_id": "14916530"}, {"ref": "ysunnyc/cassava-torchxla-secondbase", "kernel_id": "14360543"}, {"ref": "ysunnyc/cassava-torchxla-base", "kernel_id": "14095691"}, {"ref": "anhnglinh/cassava-leafdisease", "kernel_id": "14591569"}, {"ref": "smirnyaginandr/cassava-leaf-disease-tpu-v2-pods-inference", "kernel_id": "14089437"}, {"ref": "varlou23/cassava-leaf-disease-tpu-v2-pods-inference", "kernel_id": "14155438"}, {"ref": "varlou23/cassava-leaf-disease-training-with-tpu-v2-pods", "kernel_id": "14155465"}, {"ref": "matveevayulia/cassava-leaf-disease-training-with-tpu", "kernel_id": "14082188"}, {"ref": "julessharova/efficientnetb4-cassava-leaf", "kernel_id": "14103101"}, {"ref": "denismetelev/cassava-leaf-disease-tpu-v2-pods-inferece", "kernel_id": "14012257"}, {"ref": "denismetelev/cassava-leaf-disease-tpu-tensorflow-training", "kernel_id": "14015226"}, {"ref": "eguru0331/pytorch-efficientnet-baseline-inference-tta", "kernel_id": "14404776"}, {"ref": "drawntogetha/re-exam-vgis", "kernel_id": "14449543"}, {"ref": "anantgupt/cassava-leaf-doctor-inference", "kernel_id": "14895944"}, {"ref": "matsumuranaoki/quick-step-to-83-on-leaf-disease-classification", "kernel_id": "14719533"}, {"ref": "matsumuranaoki/contrast-adjust-efficientnetb3-88-10epochs", "kernel_id": "14914842"}, {"ref": "ekaterinazhuikova/notebook454e103ae7", "kernel_id": "14122801"}, {"ref": "kirolcheng/noisy-label-eda-with-cleanlab", "kernel_id": "14562043"}, {"ref": "safonenkomax/cassava-leaf-disease-tpu-v2-pods-inference", "kernel_id": "14035136"}, {"ref": "safonenkomax/cassava-leaf-disease-training-with-tpu-v2-pods", "kernel_id": "14013924"}, {"ref": "mohdsohelqureshi/keras-model-for-casava-leaf-disease-classification", "kernel_id": "14525968"}, {"ref": "mohdsohelqureshi/cassava-leaf-disease-keras-cnn-model", "kernel_id": "14630694"}, {"ref": "ihsanhadi/singkong-mania", "kernel_id": "14110315"}, {"ref": "junyingsg/step-by-step-guide-to-denoising-your-labels", "kernel_id": "14283055"}, {"ref": "junyingsg/tf-data-pipeline-with-albumentation-cutmix-up", "kernel_id": "14389329"}, {"ref": "noraydansiemo/cassavaleafdisease", "kernel_id": "14148706"}, {"ref": "iamyajat/cassava-leaf-disease-inceptionresnetv2", "kernel_id": "14431628"}, {"ref": "mrtonhavasi/rvgis-mh", "kernel_id": "14799874"}, {"ref": "sandeepreddie7/cassavaleafdiseasedetection", "kernel_id": "14540066"}, {"ref": "wangwenxii/cassava-baseline", "kernel_id": "14702789"}, {"ref": "muslimxudoyberdiyev/cassava-leaf-disease-classification-with-tf", "kernel_id": "14711187"}, {"ref": "svyatoslavsokolov/cassava-leaf-pytorch", "kernel_id": "14588038"}, {"ref": "ammarnassanalhajali/cassava-leaf-pytorch-trainining", "kernel_id": "14063657"}, {"ref": "patrickseminatore/cassava-leaf-virus-classification-with-keras", "kernel_id": "14173955"}, {"ref": "nguyentienduy/notebookaf81ff860e", "kernel_id": "14370952"}, {"ref": "hungkhoi/baseline-inference", "kernel_id": "14639662"}, {"ref": "yujianxue/leafd", "kernel_id": "14340477"}, {"ref": "fadillahadamsyah/splitimages", "kernel_id": "14367544"}, {"ref": "igorspannenberger/different-augmentations-on-albumentations", "kernel_id": "14405326"}, {"ref": "kutsenkodmitriy/my-5-resnext-inference", "kernel_id": "14796768"}, {"ref": "dipeshkurasau/cassava-leaf-disease-classification", "kernel_id": "14686047"}, {"ref": "hubertwojewoda/fastai-cassava-leaves-inference", "kernel_id": "14952688"}, {"ref": "carmelariel/bestmodelever", "kernel_id": "14729804"}, {"ref": "minseokkim34/cassava-disease-resnet50-on-pytorch", "kernel_id": "14706551"}, {"ref": "psb2024/cassavapytorcheffnettrain", "kernel_id": "14245967"}, {"ref": "rasinkatta/cassava-leaf-pytorch-training", "kernel_id": "14179094"}, {"ref": "hoorayyliu/cassavanet-inference-tta", "kernel_id": "14749560"}, {"ref": "baehyunchul/cassava-leaf-disease-classification-by-trajanus", "kernel_id": "14461357"}, {"ref": "kaggledis/cnn-casava-v1", "kernel_id": "14199776"}, {"ref": "emorkrin/resnet101", "kernel_id": "14251618"}, {"ref": "cuimdi/eff-b5-tta-3", "kernel_id": "14562509"}, {"ref": "drcodikpollonny/cassava-leaf-efficientnetb4-ns", "kernel_id": "14404719"}, {"ref": "jianxinhu/efficientnet-5-fold-train-mian-baseline-add-tpu", "kernel_id": "14558820"}, {"ref": "wiwiteria/getting-started-tpus-cassava-leaf-disease", "kernel_id": "14645891"}, {"ref": "alexanderriedel/cassava-resnext50-32x4d-sam-train", "kernel_id": "14203339"}, {"ref": "philippscholl/resnext-baseline", "kernel_id": "14695240"}, {"ref": "xjingd/my-copy-pytorch-efficientnet-inference-tta", "kernel_id": "14319661"}, {"ref": "xjingd/my-train-code", "kernel_id": "14358942"}, {"ref": "researchbntz/xceptionstack-newaug", "kernel_id": "14378658"}, {"ref": "mohammadhosseina/tpu-eff", "kernel_id": "14710147"}, {"ref": "catchbelif/fork-of-model-2-3-fold5", "kernel_id": "14685935"}, {"ref": "catchbelif/model-2-4", "kernel_id": "14666903"}, {"ref": "catchbelif/model-f1-469-f9-568-f4-7-f2-68", "kernel_id": "14648510"}, {"ref": "nioushahashemi/notebook77bec0628a", "kernel_id": "14671085"}, {"ref": "thomasmignot63/xception-rmsprop-8epochs-cassave", "kernel_id": "14548563"}, {"ref": "gurharkhalsa/beginer-fastai-progressive-resize", "kernel_id": "14049170"}, {"ref": "gurharkhalsa/beginner-albumentations-torch-baseline", "kernel_id": "14341554"}, {"ref": "gurharkhalsa/alb-torch-rnd-2", "kernel_id": "14551136"}, {"ref": "ayannareda/classification-using-fastai2", "kernel_id": "14495684"}, {"ref": "abduljabbar110/sequential-cnn-model", "kernel_id": "14372770"}, {"ref": "abduljabbar110/efficientnetb0-model", "kernel_id": "14352125"}, {"ref": "ayscelik/michau-s-pure", "kernel_id": "14224571"}, {"ref": "tournevis/submission-cassava-from-preregistered-leaf", "kernel_id": "14365521"}, {"ref": "zakariaelamim/cassava-leaf-disease-enb0", "kernel_id": "14709342"}, {"ref": "zakariaelamim/cassava-leaf-disease-en-b3", "kernel_id": "14709557"}, {"ref": "zakariaelamim/cassava-leaf-disease-en-b1", "kernel_id": "14547837"}, {"ref": "zakariaelamim/cassava-leaf-disease-starter-notebook", "kernel_id": "14527870"}, {"ref": "hazem9806/cassava-model-vgg19", "kernel_id": "14042172"}, {"ref": "sebastiangnther/cassava-leaf-disease-vit-tpu-training", "kernel_id": "14956706"}, {"ref": "itsadel/cassava-notebook-adel", "kernel_id": "14923414"}, {"ref": "michakalbarczyk/training-notebook", "kernel_id": "14104878"}, {"ref": "stevenciobanita/testgpu-effnet", "kernel_id": "14609589"}, {"ref": "stevenciobanita/cassava-steven", "kernel_id": "14479901"}, {"ref": "yashaswitasingh/cassava-xception", "kernel_id": "14091494"}, {"ref": "charleslenx/augmentation-ai", "kernel_id": "14222947"}, {"ref": "changhengli/1920-light-effnet5-01-train-94", "kernel_id": "14875902"}, {"ref": "changhengli/tta-pytorch-vit-ef-infer-94", "kernel_id": "14916409"}, {"ref": "nobatgeldi/cld-training-with-tpu-on-both-colab-and-kaggle", "kernel_id": "14808204"}, {"ref": "nobatgeldi/cassava-leaf-disease-tpu-v2-pods-inference", "kernel_id": "14807017"}, {"ref": "nobatgeldi/cassava-disease-detection-nasnetlarge", "kernel_id": "14170959"}, {"ref": "nobatgeldi/cassava-leaf-disease-tl-binarycrossentropy", "kernel_id": "14321165"}, {"ref": "nobatgeldi/cld-transfer-learning-gpu-oom", "kernel_id": "14291741"}, {"ref": "nobatgeldi/getting-started-tpus-cassava-leaf-disease", "kernel_id": "14275484"}, {"ref": "nobatgeldi/cassava-leaf-tfrecords-on-tpu", "kernel_id": "14216174"}, {"ref": "nobatgeldi/cassava-leaf-supervised-contrastive-learning", "kernel_id": "14220041"}, {"ref": "nobatgeldi/cld-training-on-gpu-b3", "kernel_id": "14255900"}, {"ref": "wineplanetary/bi-tempered-and-taylor-logistic-loss-for-keras-tf", "kernel_id": "14508798"}, {"ref": "hackspyder/training-with-tez-a-simple-pytorch-trainer", "kernel_id": "14074923"}, {"ref": "kimse0ha/cassava-leaf-disease-classification-eda", "kernel_id": "14318149"}, {"ref": "kimse0ha/efficientnet-train-amp-focal-loss-fmix", "kernel_id": "14816274"}, {"ref": "kimse0ha/efn-resnext-vit-ensemble-inference", "kernel_id": "14865102"}, {"ref": "kimse0ha/vit-pytorch-train-baseline-amp-kfolds-earlystop", "kernel_id": "14663457"}, {"ref": "oimosan/cassava-leaf-disease-r5", "kernel_id": "14506831"}, {"ref": "bapakkau/notebookbf1ddf5a9a", "kernel_id": "14615102"}, {"ref": "amelara/notebook53ff30c135", "kernel_id": "14520784"}, {"ref": "yhkim94/cassava-resnext50-32x4d-starter-training", "kernel_id": "14574530"}, {"ref": "gianghus/pytorch-augmentation-vit", "kernel_id": "14473273"}, {"ref": "houdahouda/cassava-leaf-disease-starter-notebook", "kernel_id": "14528621"}, {"ref": "gauravsethia/xception-v1", "kernel_id": "14178336"}, {"ref": "gauravsethia/clustering-train-baseline", "kernel_id": "14747587"}, {"ref": "amukebab/loss-function", "kernel_id": "14214628"}, {"ref": "xinhahahaha/pytorch-efficientnet-baseline-2020-clean-data", "kernel_id": "14326813"}, {"ref": "lifeifei0/efficientnet-all-data-initial-augmentation", "kernel_id": "14381288"}, {"ref": "lifeifei0/pytorch-efficientnet-baseline-fold0", "kernel_id": "14381192"}, {"ref": "lifeifei0/efficientnet-baseline-train-all-images", "kernel_id": "14329786"}, {"ref": "ninotomo/notebook-cassava-cnn", "kernel_id": "14660562"}, {"ref": "ninotomo/notebook-cassava-resnet", "kernel_id": "14763086"}, {"ref": "ninotomo/notebook-cassava-vgg16-0-25", "kernel_id": "14796964"}, {"ref": "zhuangyh/testzhs001", "kernel_id": "14391811"}, {"ref": "qiuhanji/resnet50", "kernel_id": "14662355"}, {"ref": "qiuhanji/cassava-cla", "kernel_id": "14590221"}, {"ref": "chjinny/korean-simple-flow", "kernel_id": "14721573"}, {"ref": "rodrigocastanonm/submission-test", "kernel_id": "14916618"}, {"ref": "goodwary/b4-vold0", "kernel_id": "14529398"}, {"ref": "goodwary/b4-vold3", "kernel_id": "14929227"}, {"ref": "goodwary/b4-vold4", "kernel_id": "14932583"}, {"ref": "goodwary/b4-vold2", "kernel_id": "14926124"}, {"ref": "goodwary/b4-vold1", "kernel_id": "14923434"}, {"ref": "imcdjl2020/djl2-epoch20-eff", "kernel_id": "14546682"}, {"ref": "imcdjl2020/notebookb0f4aa2f9c", "kernel_id": "14810584"}, {"ref": "imcdjl2020/djl2-epoch30-eff2", "kernel_id": "14791490"}, {"ref": "amirarabi/first-cassava", "kernel_id": "14735045"}, {"ref": "amirarabi/cvae-cassava", "kernel_id": "14805379"}, {"ref": "amirarabi/gan-cassava", "kernel_id": "14809393"}, {"ref": "charlesrongione/fork-of-cassava", "kernel_id": "14829805"}, {"ref": "mohammadhosseinash/network", "kernel_id": "14758097"}, {"ref": "hiarsl/cassava-leaf-disease-resnext50", "kernel_id": "15112352"}, {"ref": "jannish/cassava-leaf-disease-efficientnetb4-tpu", "kernel_id": "15040346"}, {"ref": "jannish/final-version-inference", "kernel_id": "15012927"}, {"ref": "janaushad98/cassava-mobilenetv2-training-validation", "kernel_id": "15248667"}, {"ref": "janaushad98/cassava-simple-inference", "kernel_id": "15318418"}, {"ref": "janaushad98/cassava-inference-with-tta", "kernel_id": "15354515"}, {"ref": "kozodoi/14th-place-solution-stack-them-all", "kernel_id": "15011117"}, {"ref": "kuc2477/cassava-classification-lg-cv-2021-test", "kernel_id": "15131539"}, {"ref": "shivarama/leaf-disease1", "kernel_id": "15467622"}, {"ref": "gpamoukoff/private-lb-0-902-blend-effnet-b3-b4-vit-resnext50", "kernel_id": "15011103"}, {"ref": "kozistr/cassava-leaf-disease-experiments", "kernel_id": "15002679"}, {"ref": "rkuo2000/repvgg-cassava", "kernel_id": "15319998"}, {"ref": "izotov/public-lb-score-0-901-priate-0-900-101st-place", "kernel_id": "15011348"}, {"ref": "galois95/notebook4b057f2d0e", "kernel_id": "15233597"}, {"ref": "moaztaha/leaf-disease-inference", "kernel_id": "15966333"}, {"ref": "moaztaha/leaf-disease-training", "kernel_id": "15961759"}, {"ref": "yshendye/notebook94ae523b1d", "kernel_id": "15910822"}, {"ref": "woshifym/cld-class-activation-mapping-cam-wip", "kernel_id": "15028656"}, {"ref": "ttkagglett/two-repvgg-with-clean-and-noise-score-0-8977", "kernel_id": "15002763"}, {"ref": "xushun/test-2", "kernel_id": "15989128"}, {"ref": "alswang18/borealis-ai-quantization-notebook", "kernel_id": "15990448"}, {"ref": "pier994/how-to-build-a-simple-cnn-for-image-recognition", "kernel_id": "15118406"}, {"ref": "projdev/base-notebook-cassava-leaf-disease-classification", "kernel_id": "15011239"}, {"ref": "vanvalkenberg/fastai-cassava-classification", "kernel_id": "15178443"}, {"ref": "takuyatone/cassava-keras-tf-baseline-inference", "kernel_id": "15947575"}, {"ref": "takuyatone/cassava-keras-tf-baseline-training", "kernel_id": "15898638"}, {"ref": "accountstatus/capsule-network", "kernel_id": "15053484"}, {"ref": "siddalore/multiple-models-with-cutmix-mixup-gridmask", "kernel_id": "15779536"}, {"ref": "siddalore/tf-efficientnetb4-mixup-cutmix-gridmask-cv-0-90", "kernel_id": "15742323"}, {"ref": "siddalore/cassava-efficientnetb7", "kernel_id": "15205831"}, {"ref": "ligtfeather/deit-is-a-state-of-the-art-image-classifier", "kernel_id": "15375879"}, {"ref": "ligtfeather/genet-gpu-efficient-network-albumentations", "kernel_id": "15378677"}, {"ref": "acidball/cassava-classification-lg-cv-2021-train", "kernel_id": "15141930"}, {"ref": "hihunjin/cassava-leaderboard-regression", "kernel_id": "15101333"}, {"ref": "aleena3198/efficientnetb6-augmentation", "kernel_id": "15064586"}, {"ref": "keroro213/cassava-classification-lg-cv-2021-train", "kernel_id": "15141914"}, {"ref": "boscho/cassava-pytorch", "kernel_id": "15925813"}, {"ref": "yongminghan/class-3", "kernel_id": "15667117"}, {"ref": "yongminghan/class-1", "kernel_id": "15667029"}, {"ref": "yongminghan/class-2", "kernel_id": "15667095"}, {"ref": "yongminghan/ensemblinginceptionresneteff", "kernel_id": "15684472"}, {"ref": "yongminghan/cassava-keras-resnet50-training-simple-no-changes", "kernel_id": "15627062"}, {"ref": "seokjinyun/cassava-classification-lg-cv-2021-train-b1", "kernel_id": "15141902"}, {"ref": "bessenyeiszilrd/final-submission-private-lb-0-901", "kernel_id": "15007591"}, {"ref": "espsiyam/cassava-leaf-disease-transfer-learning", "kernel_id": "15018519"}, {"ref": "danpotter/blind-monkey-submission-example-data2040-sp21", "kernel_id": "15000765"}, {"ref": "gamebo11/opencv-practice-part-1", "kernel_id": "15036760"}, {"ref": "tashinahamed/cassava-inference", "kernel_id": "15021007"}, {"ref": "tomyanabe/cassava-leaf-disease-classification", "kernel_id": "15060568"}, {"ref": "witalia/cassava-dealing-with-memory-exceeded", "kernel_id": "15263800"}, {"ref": "peretzcohen/tpu-based-model-for-cassava", "kernel_id": "15393031"}, {"ref": "prashansdixit/cassava-leaf-disease-classification-using-tez", "kernel_id": "15038173"}, {"ref": "shakydjslu/ori-models-for-cassava-leaf-disease-classification", "kernel_id": "15100721"}, {"ref": "andyjianzhou/cassava-training-fastai-efficnetnet-distill", "kernel_id": "15000412"}, {"ref": "davidwang3/cassava-leaf-disease-transfer-learning", "kernel_id": "15072597"}, {"ref": "romacoffin/notebook2e463be2fb", "kernel_id": "15548738"}, {"ref": "siyushen63/cassava-infer", "kernel_id": "15599400"}, {"ref": "siyushen63/data2040-submission", "kernel_id": "15058072"}, {"ref": "cameronwebster/classy-classifiers-baseline", "kernel_id": "15091631"}, {"ref": "szhan192/real-submission", "kernel_id": "15680353"}, {"ref": "tomoakiishii/cassava-keras-resnet-efficientnet-ensemble-0-877", "kernel_id": "15934547"}, {"ref": "hubertwojewoda/cassava-efficientnet-b3", "kernel_id": "15168290"}, {"ref": "alexzimbalist/zimbalist-and-cotler-final-submission", "kernel_id": "15707439"}, {"ref": "mohitkeshwanii/inference-ensemble-vgg16-densenet169", "kernel_id": "15306295"}, {"ref": "mohitkeshwanii/cassava-ensemble-vgg16-mobilenetv2-densenet169", "kernel_id": "15737934"}, {"ref": "yyuan94/transfer-learning", "kernel_id": "15301470"}, {"ref": "philippscholl/cassava-resnext101-32x8d-training", "kernel_id": "15324227"}, {"ref": "philippscholl/resnext-raytune", "kernel_id": "15392231"}, {"ref": "philippscholl/cassava-resnext50-32x4d-starter-training", "kernel_id": "15367441"}, {"ref": "kevintoner222/simsaim", "kernel_id": "15168790"}, {"ref": "yardencohenbgu/yarden-comp", "kernel_id": "15014228"}, {"ref": "yhkim94/my-cassava-notebook", "kernel_id": "15151970"}, {"ref": "yhkim94/cassava-resnext50-32x4d-starter-inferenc-217f74", "kernel_id": "15051152"}, {"ref": "yhkim94/notebook219e4c0676", "kernel_id": "15053466"}, {"ref": "yanyangu/cassava-classification", "kernel_id": "15025111"}, {"ref": "rogovanataliya/cycle-gan-to-enlarge-training-data", "kernel_id": "15270817"}, {"ref": "rogovanataliya/cassava-leaf-disease-cyclegan-data-augmentation", "kernel_id": "15274656"}, {"ref": "geraldofori/cassava-leaf3", "kernel_id": "15898602"}, {"ref": "hosseing75/vit-imp", "kernel_id": "15386243"}, {"ref": "daanishsharma/cassava", "kernel_id": "15592563"}, {"ref": "thanasisserntedakis/ml-project", "kernel_id": "15618626"}, {"ref": "bangxixiao/baseline-model", "kernel_id": "15070016"}, {"ref": "haodasong01/team-deep-divers-final-submission", "kernel_id": "15645673"}, {"ref": "haodasong01/cassava-leaf-for-brown-dsi", "kernel_id": "15070245"}, {"ref": "haodasong01/data2040-deep-divers", "kernel_id": "15093074"}, {"ref": "emmanuelpeters/notebookblogpost", "kernel_id": "15071743"}, {"ref": "yuewangpl/team1-part1", "kernel_id": "15052164"}, {"ref": "sa2zoi/simplified-cassava-leaf-classification", "kernel_id": "15222778"}, {"ref": "daxinniu122/model-version-1-tfrec-submission", "kernel_id": "15545161"}, {"ref": "ceshine/mixup-cutmix-and-snapmix-demo", "kernel_id": "16142613"}, {"ref": "tunguz/cassava-classification-9", "kernel_id": "16303094"}, {"ref": "karan96/train-cassava-starter-using-various-loss-funcs", "kernel_id": "16270455"}, {"ref": "pulkit69/pytorch-efficientnet", "kernel_id": "16281873"}, {"ref": "marioceron/fork-of-getting-started-tpus-cassava-leaf-disea", "kernel_id": "16764062"}, {"ref": "explainaaaaa/cassava-leaf-disease-vit-tpu-training", "kernel_id": "16446034"}, {"ref": "explainaaaaa/cassava-leaf-disease-efficientnetb4-tpu", "kernel_id": "16446170"}, {"ref": "explainaaaaa/cassava-leaf-disease-resnext50", "kernel_id": "16395376"}, {"ref": "sinnfashen/notebook16b1f35852", "kernel_id": "16558045"}, {"ref": "xushun/data-split", "kernel_id": "16120672"}, {"ref": "xushun/data-classbypath", "kernel_id": "16164968"}, {"ref": "abhhii/latest", "kernel_id": "16253684"}, {"ref": "abhhii/latest-2", "kernel_id": "16264034"}, {"ref": "abhhii/cassava-18-04", "kernel_id": "16305530"}, {"ref": "abhhii/cassava-efficientnet-with-gpu", "kernel_id": "16306644"}, {"ref": "abhhii/densenet-with-cutmix-mixup-gridmask", "kernel_id": "16236112"}, {"ref": "abhhii/resnet50-with-cutmix-mixup-gridmask", "kernel_id": "16215655"}, {"ref": "chetan8007/leaf-disease-classification-using-pytorch", "kernel_id": "16592076"}, {"ref": "chuka19952/smart-agric-project-modelling", "kernel_id": "16942389"}, {"ref": "siddalore/resnet50-with-cutmix-mixup-gridmask", "kernel_id": "16131409"}, {"ref": "siddalore/densenet-with-cutmix-mixup-gridmask", "kernel_id": "16229375"}, {"ref": "pratx557/getting-started-tpus-cassava-leaf-disease", "kernel_id": "16854660"}, {"ref": "parlads/leaf-classification-using-cnn", "kernel_id": "16273588"}, {"ref": "audriusnau/cassava-classification-fastai-start", "kernel_id": "16816120"}, {"ref": "audriusnau/cassava-leaf-classification", "kernel_id": "16251157"}, {"ref": "yasserhessein/cassava-leaf-disease-using-resnet50", "kernel_id": "16132125"}, {"ref": "davidihim/notebook393c9512b6", "kernel_id": "16864966"}, {"ref": "akashsdas/cassava-leaf-disease-classification", "kernel_id": "16299024"}, {"ref": "akashsdas/cassava-leaf-disease-classification-submission", "kernel_id": "16391713"}, {"ref": "amanambashta/cassava-alexnet", "kernel_id": "16282009"}, {"ref": "arnabs007/cassava-leaf-disease-classification-with-tpu", "kernel_id": "16366119"}, {"ref": "abhinavshinow/efficientnetb5-cassava", "kernel_id": "16090263"}, {"ref": "abhinavshinow/efficientnetb4-tpu", "kernel_id": "16991853"}, {"ref": "abhaychaudhary01/insect-augmentation-et-al", "kernel_id": "16079270"}, {"ref": "avadonsan/sam-knowledge-distillation", "kernel_id": "16712714"}, {"ref": "gauravsingh17467/cassava-alexnet", "kernel_id": "16447727"}, {"ref": "dongjai04/se-net-baseline-eesm5720-inf", "kernel_id": "16671160"}, {"ref": "parkgnyeong/pytorch-resnet34-cassava-leaf-disease-baseline", "kernel_id": "16436337"}, {"ref": "vatsalnanda/basic-cnn-model-2", "kernel_id": "16030595"}, {"ref": "akshaygiridhar/leaf-classification-using-cnn", "kernel_id": "16558815"}, {"ref": "akshaygiridhar/leaf-classification-using-cnn1", "kernel_id": "16605540"}, {"ref": "akshaygiridhar/cassava-resnext50-32x4d-starter-training", "kernel_id": "16727404"}, {"ref": "akshaygiridhar/cassava-keras-resnet-efficientnet-ensemble-0-877", "kernel_id": "16837117"}, {"ref": "nikitashilkov/keras-baseline", "kernel_id": "16792144"}, {"ref": "tanlikesmath/seti-pytorch-xla-tpu-starter", "kernel_id": "17362046"}, {"ref": "hicham1984/classification-resnet-pytorch", "kernel_id": "17863751"}, {"ref": "prabin96/leaf-disease-classification", "kernel_id": "17881042"}, {"ref": "ankit85jain/cassava-leaf-disease-classification", "kernel_id": "17396541"}, {"ref": "srinathsrinivasan1/cassava-leaf-disease-identification-xception", "kernel_id": "17450549"}, {"ref": "juhoonlee/cassava-vit", "kernel_id": "17182754"}, {"ref": "aryankolapkar/cassava-classification", "kernel_id": "17180471"}, {"ref": "surolee/notebookdb53715c88", "kernel_id": "17874027"}, {"ref": "shubhi991/basic-cnn", "kernel_id": "17776583"}, {"ref": "fayasmohamed/vision-transformer-vit-tutorial-baseline", "kernel_id": "17242618"}, {"ref": "shajiayu/notebook2be561d459", "kernel_id": "17311831"}, {"ref": "nevinhardy/ai-project", "kernel_id": "17017652"}, {"ref": "chaewonkimmm/cs376-team-3-cassava-leaf-training", "kernel_id": "17151036"}, {"ref": "chaewonkimmm/cs376-team-3-cassava-leaf-inference", "kernel_id": "17878942"}, {"ref": "audriussa/cassava-classification-detailed-models", "kernel_id": "17132757"}, {"ref": "sachin/cassava-classification-pytorch-lightning-w-b", "kernel_id": "18938595"}, {"ref": "sid321axn/cassava-leaf-disease-classification-efficientnet", "kernel_id": "18395282"}, {"ref": "ameliadeviputria/ameliadevipa-6025201008-fp-cassavaclassification", "kernel_id": "18117891"}, {"ref": "akashsingh00/cassava-leaf-training", "kernel_id": "18702427"}, {"ref": "jokerwwj/notebook5cf7b5c147", "kernel_id": "18785832"}, {"ref": "mylnikovnikolay/cassava-leaf-pytorch", "kernel_id": "18330351"}, {"ref": "oleggayduk/cassava", "kernel_id": "18372773"}, {"ref": "oleggayduk/cassava-new", "kernel_id": "18440862"}, {"ref": "oleggayduk/filters", "kernel_id": "18449184"}, {"ref": "oleggayduk/test-filters", "kernel_id": "18409363"}, {"ref": "oleggayduk/cassava-filters-compet6", "kernel_id": "18468932"}, {"ref": "oleggayduk/cassava-compet6", "kernel_id": "18484671"}, {"ref": "blackcultist/cassava-colab-mirror", "kernel_id": "18481455"}, {"ref": "annatopilina/notebooka5a4f88c62", "kernel_id": "18444314"}, {"ref": "shinigamikishi/cassava", "kernel_id": "18421496"}, {"ref": "srivatsan25297/cassava-fastai", "kernel_id": "19327863"}, {"ref": "roboserg/cassava-beginner-fastai-baseline-online", "kernel_id": "19536430"}, {"ref": "rizani/tpus-cassava-leaf-disease", "kernel_id": "19553371"}, {"ref": "kushalramaiya/cassava-inference-submission", "kernel_id": "19160240"}, {"ref": "aryannath/cassava", "kernel_id": "19915438"}, {"ref": "nizado/cassava-classification-with-tensorflow", "kernel_id": "19137556"}, {"ref": "kartikbhatnagar18/fastai-cassava-leaf-disease-classification", "kernel_id": "19099239"}, {"ref": "bailalim/save-tobe-local-model", "kernel_id": "19911963"}, {"ref": "bailalim/cassava-classification", "kernel_id": "19646293"}, {"ref": "konradb/ch10-images-classification", "kernel_id": "20751213"}, {"ref": "currypurin/cassava-displaying-images-with-ipyplot", "kernel_id": "20485415"}, {"ref": "abhilash1910/visiontransformer-recipes", "kernel_id": "20839945"}, {"ref": "faguiar/classifica-o-de-imagens-uea", "kernel_id": "20751779"}, {"ref": "raavi97/cassava-leaf-disease-inference-tez", "kernel_id": "20509108"}, {"ref": "raavi97/cassava-resnext50-32x4d-tez", "kernel_id": "20463186"}, {"ref": "amitgold/cassava-leaf-disease-tpu-tensorflow-training", "kernel_id": "20309789"}, {"ref": "suvoooo/cassava-classification", "kernel_id": "20018694"}, {"ref": "anirudhg15/cassava-classification-w-fastai", "kernel_id": "20950027"}, {"ref": "petersburg12/pytorch-efficientnet-baseline-train-amp-aug", "kernel_id": "20339975"}, {"ref": "aryannath/cassava-inference", "kernel_id": "20096802"}, {"ref": "leandrodacruzfarias/classificacao-imagens-uea", "kernel_id": "20777217"}, {"ref": "rajasreer/cassava-leaf-disease-classification", "kernel_id": "20720983"}, {"ref": "ramsegaurav/how-to-convert-tfrecord-to-jpg", "kernel_id": "20500540"}, {"ref": "binggibanggabongo/vision-transformer-vit-tutorial-baseline", "kernel_id": "20207832"}, {"ref": "bkanupam/cassava-experiments", "kernel_id": "21869986"}, {"ref": "rahulbhalley/classification-with-pytorchlightning-using-tpu", "kernel_id": "21059144"}, {"ref": "syafia/getting-started-tpus-cassava-leaf-disease", "kernel_id": "21227508"}, {"ref": "arvindbudh/getting-started-tpus-cassava-leaf-disease", "kernel_id": "21666463"}, {"ref": "sambonuruddeen/cassava-classification-omdena-school", "kernel_id": "21718737"}, {"ref": "daviddaytw/cassava-baseline", "kernel_id": "21246305"}, {"ref": "nipunwimukthi/cassava-leaf-disease-starter-notebook", "kernel_id": "21081903"}, {"ref": "nipunwimukthi/starter-keras-efficientnet", "kernel_id": "21081909"}, {"ref": "nipunwimukthi/ml-assignment", "kernel_id": "21104329"}, {"ref": "lalalalex/cldc-competetion-resnext50", "kernel_id": "21397683"}, {"ref": "moore0403/cfdc-competition", "kernel_id": "21424679"}, {"ref": "moore0403/cfdc-inference", "kernel_id": "21462468"}, {"ref": "amanjyotideka/leaf-disease-tensorflow", "kernel_id": "21820191"}, {"ref": "devraghuwanshi1/cassava-leaf-disease-classification-eda", "kernel_id": "21209591"}, {"ref": "beteix/cassava-resnext50-32x4d-starter-training", "kernel_id": "21142954"}, {"ref": "snuaimaster09/notebook1b72bd4045", "kernel_id": "21679274"}, {"ref": "prakharprasad/cassava-leaf-disease-classification-xception", "kernel_id": "22761130"}, {"ref": "marufi/vgg19tpu", "kernel_id": "22120155"}, {"ref": "shamindraparui/notebook03bc73cd02", "kernel_id": "22860320"}, {"ref": "asimple/inference-eff-splits-5-cassava-leaf-disease-clf", "kernel_id": "22789975"}, {"ref": "vincentfattorelli/notebook49d2aa8f14", "kernel_id": "22047865"}, {"ref": "fakerbaby/vision-transformer-vit-gpu", "kernel_id": "22838246"}, {"ref": "kikabanning/cassava-leaf-disease-working-version", "kernel_id": "22788276"}, {"ref": "kikabanning/cassava-leaf-disease-classification-kika-britt-2", "kernel_id": "22959903"}, {"ref": "brittgerritsen/cassava-leaf-disease-classification", "kernel_id": "22793274"}, {"ref": "aswintechguy/cassava-leaf-disease-detection-pytorch-tutorial", "kernel_id": "23478531"}, {"ref": "kroha5/nn-notebook-img", "kernel_id": "23567788"}, {"ref": "olegkomenchuk/cassava-leaf-disease-classification-eda", "kernel_id": "23764900"}, {"ref": "olegkomenchuk/cassava-leaf-disease-efficientnet-b0-fold-0", "kernel_id": "23766727"}, {"ref": "olegkomenchuk/cassava-leaf-disease-classification-k-fold-split", "kernel_id": "23765978"}, {"ref": "olegkomenchuk/cassava-leaf-disease-classification-submission", "kernel_id": "23817768"}, {"ref": "bhavinmoriya/cassava-leaf-disease-classification-xception", "kernel_id": "23129522"}, {"ref": "franktzheng/acm-ai-projects-kaggle-skeleton", "kernel_id": "23601061"}, {"ref": "asheniranga/leaf-disease-classifier", "kernel_id": "23407580"}, {"ref": "kikabanning/cassava-leaf-disease-classification-kika-britt-3", "kernel_id": "23046864"}, {"ref": "huynthh/pytorch-cassava", "kernel_id": "23912481"}, {"ref": "minhnguyenxc/cassava", "kernel_id": "23081178"}, {"ref": "nikolajhk/cassava-leaf-disease-synopsis", "kernel_id": "23870870"}, {"ref": "anhkhoaothin/ai-51800787-51704074", "kernel_id": "23104373"}, {"ref": "mustai/vision-transformer-vit-fine-tuning", "kernel_id": "23988729"}, {"ref": "xuhanhan0403/cassava-leaf-disease-classification-pytorch", "kernel_id": "23960801"}, {"ref": "msripooja/vit-cassava-disease-detection", "kernel_id": "24385117"}, {"ref": "xiasiwang/aiaa5023-demo-code", "kernel_id": "24939441"}, {"ref": "kirtichauhan11/cassava-disease-classification", "kernel_id": "24535171"}, {"ref": "blacksheep2105/gdsc-cassava-project", "kernel_id": "24690982"}, {"ref": "satyensubramaniam/acm-ai-projects-kaggle-skeleton-087b04", "kernel_id": "24324880"}, {"ref": "engineeringfellow/cassava-leaf-version-1", "kernel_id": "24897388"}, {"ref": "donggeonhan/notebook472516c786", "kernel_id": "24051343"}, {"ref": "sayansh001/cassava-disease-detection-using-efficientnet", "kernel_id": "24852886"}, {"ref": "sayansh001/cassava-disease-detection-using-vgg16", "kernel_id": "24785519"}, {"ref": "advitdeepak/leaf-us-alone", "kernel_id": "24554585"}, {"ref": "saidsp19/transfer-learning-efficientnet", "kernel_id": "25110686"}, {"ref": "abhimanyukarshni/train-cassava-template", "kernel_id": "25969903"}, {"ref": "abhimanyukarshni/no-tta-cassava-inference", "kernel_id": "25971866"}, {"ref": "keioooo/cassava-disease-classification-on-efficientnet", "kernel_id": "25163299"}, {"ref": "yzcres/3-14-v1", "kernel_id": "25340478"}, {"ref": "hrishikesh1kumar/cassava-leaf-disease-keras-cnn-prediction", "kernel_id": "25686036"}, {"ref": "prashanthacsq/cldc-r256slow-infer", "kernel_id": "25669098"}, {"ref": "prashanthacsq/cldc-r256slow", "kernel_id": "25660290"}, {"ref": "kevinleee/cassava-efficientnet", "kernel_id": "26205627"}, {"ref": "dongshengzuo/notebookf6a0389f0a", "kernel_id": "26408304"}, {"ref": "vikrantrajput/casseva-leaf-disease-classification-with-swin-t", "kernel_id": "26632441"}, {"ref": "jonathanchau/acm-ai-projects-kaggle-skeleton", "kernel_id": "26830983"}, {"ref": "shahadalbar/leaf-disease", "kernel_id": "26581229"}, {"ref": "artemygolovnev/testing", "kernel_id": "26973840"}, {"ref": "sriv2804/train-cassava-template-812f2a", "kernel_id": "26108125"}, {"ref": "maxdiazbattan/cassava-top-5-pytorch-lightning-dataparallel", "kernel_id": "26849128"}, {"ref": "yimseohyun/training", "kernel_id": "26809009"}, {"ref": "hrishikesh1kumar/4th-year-project", "kernel_id": "26048102"}, {"ref": "harshtech123/crop-disease-dl", "kernel_id": "26502953"}, {"ref": "amandawangg/89accuracy", "kernel_id": "26927781"}, {"ref": "artemparfenov/training", "kernel_id": "27801926"}, {"ref": "skotar/cassava-dis-classification", "kernel_id": "27929817"}, {"ref": "yakovenkodmitry/lab6-classification", "kernel_id": "27108735"}, {"ref": "saadaswad/inceptionresnetv2", "kernel_id": "27299346"}, {"ref": "bhuynguyn/final-training", "kernel_id": "27582408"}, {"ref": "nguyenbahuy/visualize-architecture", "kernel_id": "27451409"}, {"ref": "sonujha090/leaf-disease-classification", "kernel_id": "28375474"}, {"ref": "greendolphin/cassava-deeptrane", "kernel_id": "28937441"}, {"ref": "vikramsandu/efficientnet-from-scratch", "kernel_id": "28822816"}, {"ref": "teyosan1229/study-eda-plot-30days", "kernel_id": "28354471"}, {"ref": "pancreas/cassava-leaf-disease", "kernel_id": "28533354"}, {"ref": "hrishikesh1kumar/cassava-leaf-disease-detection", "kernel_id": "28131184"}, {"ref": "hrishikesh1kumar/bs-128-tta-8-4th-year-project-7ba10c", "kernel_id": "28036966"}, {"ref": "shubhamdivakar/cassava-leaf-disease-detection", "kernel_id": "29752320"}, {"ref": "vikramsandu/efficientnetv2-from-scratch", "kernel_id": "29176870"}, {"ref": "vikramsandu/vision-data-augmentations-from-scratch-in-pytorch", "kernel_id": "29571718"}, {"ref": "mixanyy/leaf-desease-classification-resnet", "kernel_id": "29201781"}, {"ref": "rajasreerajamohanan/cassava-leaf-disease-best-keras-cnn", "kernel_id": "29679364"}, {"ref": "jhaprashant079/extent-of-damage", "kernel_id": "29634509"}, {"ref": "siddharthmagadum16/vision-transformer-cassava", "kernel_id": "30606168"}, {"ref": "nandini2101/notebook1312589136", "kernel_id": "30573573"}, {"ref": "adityabajaj/cassava-leaf-disease", "kernel_id": "30370669"}, {"ref": "ashwinabrahamjohn/cassava-leaf-disease-classification", "kernel_id": "30695116"}, {"ref": "muhammadammarjamshed/dis-class", "kernel_id": "30451748"}, {"ref": "akshatpattiwar/leaf-detection-classification", "kernel_id": "30301570"}, {"ref": "cuuuuuuuuuuu/cassava-disease", "kernel_id": "30150307"}, {"ref": "kritinsai/cyclegan-on-tomato-leaf-from-plant-village", "kernel_id": "31074199"}, {"ref": "rainmaker29/vision-transformer-vit-tutorial-baseline", "kernel_id": "31511699"}, {"ref": "siddharthmagadum16/vit2-model-train", "kernel_id": "31089977"}, {"ref": "myominhtet/how-to-ensemble-efficientnets", "kernel_id": "31525018"}, {"ref": "jianghhhh/yzy-train-efficientnet", "kernel_id": "31858717"}, {"ref": "jianghhhh/yzy-train-visiontransformer", "kernel_id": "31858766"}, {"ref": "tzlw1931/transfer-learning-with-convnext", "kernel_id": "31792436"}, {"ref": "konradb/ch3-end-to-end-image-classification", "kernel_id": "32244020"}, {"ref": "dkdata/cassava-leaf-disease-fast-ai-implementation", "kernel_id": "32893228"}, {"ref": "fummicc1/fummicc1-cassava", "kernel_id": "32622598"}, {"ref": "myominhtet/cv-splits-and-oof", "kernel_id": "32019994"}, {"ref": "ouissalmifdal/plant-segmentation-with-unet", "kernel_id": "32502468"}, {"ref": "qwq1445/ensemble-inference", "kernel_id": "32394353"}, {"ref": "qwq1445/maxxvit-inference", "kernel_id": "32059316"}, {"ref": "atharvatirkhunde/leaf-desease-classification-resnet", "kernel_id": "32169010"}, {"ref": "pranavkathar/vision-transformer-vit-from-scratch", "kernel_id": "32101095"}, {"ref": "winterhuz/cassava-leaf-disease-detection-efficientnet-b5", "kernel_id": "32692175"}, {"ref": "nguyenbahuy/cassava-resnext50-32x4d-starter-training", "kernel_id": "32809054"}, {"ref": "santosh1233/fork-of-plant-disease-training", "kernel_id": "32370716"}, {"ref": "santosh1233/plant-disease-training", "kernel_id": "32226632"}, {"ref": "nashaatrjouda/vision-transformer-vit-fine-tuning-augmentat", "kernel_id": "33820419"}, {"ref": "qwq1445/cassa-train-demo-with-various-losses", "kernel_id": "33564578"}, {"ref": "medhedyezzine/cassava-leaf-disease-classification-efficientnet", "kernel_id": "33358092"}, {"ref": "huynhthanhduy/cassava-leaf-disease-classcification", "kernel_id": "33278364"}, {"ref": "huynhthanhduy/cassava-leaf-disease-exploratory-data-analysis", "kernel_id": "33281259"}, {"ref": "huynhthanhduy/cassava-leaf-disease-tpu-tensorflow-training", "kernel_id": "33285244"}, {"ref": "winkyx/stacking-inference", "kernel_id": "33642328"}, {"ref": "hetarthchopra/vision-transformers-workshop-mlds-2023", "kernel_id": "34286620"}, {"ref": "nnajioforemmanuel/cassava-leaf-disease-tpu-tensorflow-training", "kernel_id": "34551851"}, {"ref": "takuok/notebook0e8327c3db", "kernel_id": "35660873"}, {"ref": "imanjunathn/cassava-leaf-disease-classification-pytorch", "kernel_id": "35677635"}, {"ref": "sukanyabag/vision-transformers-pytorch-beats-cnns", "kernel_id": "35650324"}, {"ref": "abdallahwagih/cassava-leaf-diseases-detection-competition", "kernel_id": "35894376"}, {"ref": "shnakazawa/image-classification-with-pytorch-and-efficientnet", "kernel_id": "35790451"}, {"ref": "subhadeepmandal0506/vision-transformer-vit", "kernel_id": "35646335"}, {"ref": "lizhecheng/vision-transformer-vit-resnet-baseline", "kernel_id": "35829083"}, {"ref": "theprincipleman/cassava-leaf-disease-detection", "kernel_id": "35401376"}, {"ref": "tobyjiang/datasetvisualization", "kernel_id": "36913643"}, {"ref": "jocelyndumlao/getting-started-tpus-cassava-leaf-disease", "kernel_id": "36860535"}, {"ref": "nanamiyvonne/res50-effi-b8", "kernel_id": "36995271"}, {"ref": "nanamiyvonne/try-resnext50-32x4d-efficientnet-b8", "kernel_id": "36645899"}, {"ref": "zeshengliu/baselinemodel", "kernel_id": "36906380"}, {"ref": "zeshengliu/traditional-bcnn", "kernel_id": "36851336"}, {"ref": "piehtvh/10k-products-ep", "kernel_id": "36500613"}, {"ref": "csanskriti/cassava-leaf-disease-classification", "kernel_id": "36840195"}, {"ref": "melchenhello/resnet50", "kernel_id": "36826103"}, {"ref": "charisg/cassava-ensemble-vgg16-mobilenetv2-densenet169", "kernel_id": "36902335"}, {"ref": "charisg/vision-transformer-vit-cuda-as-usual", "kernel_id": "36872365"}, {"ref": "chenxiao112233/try-resnext50-32x4d-efficientnet-b8", "kernel_id": "36944928"}, {"ref": "xiefei/getting-started-tpus-cassava-leaf-disease", "kernel_id": "37349101"}, {"ref": "i7dbw13i/notebook160acc6aa2", "kernel_id": "37796697"}, {"ref": "pasineephommuangdee/project-ml2", "kernel_id": "37126191"}, {"ref": "panitasorathaworn/project-ml-cassava-leaf", "kernel_id": "37152008"}, {"ref": "panitasorathaworn/project-ml", "kernel_id": "37124267"}, {"ref": "chenxiao112233/fixed-res50-effi-b8-02eed7", "kernel_id": "37059118"}, {"ref": "echojwww/cnn-or-transformer-pytorch-xla-tpu-for-cassava", "kernel_id": "37393251"}, {"ref": "charisgao/cassava-ensemble-vgg16-mobilenetv2-densene-42eae7", "kernel_id": "37683112"}, {"ref": "galennie/cassava-leaf-disease-eda-efficientnet", "kernel_id": "38654390"}, {"ref": "kousikv22mcr055/kousikcassava", "kernel_id": "38790436"}, {"ref": "leduy1986/final-train", "kernel_id": "38201084"}, {"ref": "leduy1986/inference-final", "kernel_id": "38230438"}, {"ref": "pangestusan/project-cassava", "kernel_id": "38973050"}, {"ref": "yingkaixuan/efficientnet", "kernel_id": "39693253"}, {"ref": "shubham219/resnet50-trasnfer-learning-on-tpu", "kernel_id": "40498444"}, {"ref": "shubham219/computer-vision-starter", "kernel_id": "40745665"}, {"ref": "teyosan1229/image-class-lightning-wandb", "kernel_id": "40224199"}, {"ref": "kunalkumarsahoo/gradcam", "kernel_id": "40056702"}, {"ref": "ranirathore/cassava-leaf-disease-classification", "kernel_id": "41000149"}, {"ref": "jiaowoguanren/cassava-leaf-disease-clf-swin-transformer-auc-0-94", "kernel_id": "41261442"}, {"ref": "irfansadiqrahat/irfan", "kernel_id": "41866515"}, {"ref": "shota2022/notebookcf0283cf5d", "kernel_id": "41718667"}, {"ref": "ashuprajapati/cassava-leaf-disease-classification", "kernel_id": "41556418"}, {"ref": "hieuvu1407/cnn-500-images-per-class-classification", "kernel_id": "41557788"}, {"ref": "hieuvu1407/vit-500-images-per-class-classification", "kernel_id": "41885541"}, {"ref": "sushantpargaonkar/image-feature-extraction", "kernel_id": "42184228"}, {"ref": "anirudhkolluri/notebook16f26677cf", "kernel_id": "42523907"}, {"ref": "suraj1223/leaf-disease-inference-using-tez", "kernel_id": "42359925"}, {"ref": "rotemisraeli/leaf-download", "kernel_id": "42437939"}, {"ref": "godugupavankumar/getting-started-tpus-cassava-leaf-disease", "kernel_id": "42746120"}, {"ref": "dyaaaaako/ch3-end-to-end-image-classification", "kernel_id": "42411914"}, {"ref": "eswarsaibandi/420130-eswarsaibandi-computervision-tpu-assignment", "kernel_id": "42761357"}, {"ref": "cayala/semana-de-la-ia-fast-ai", "kernel_id": "43918116"}, {"ref": "vibhojoshi/leaf-detection-classification", "kernel_id": "43435042"}, {"ref": "noorsaeed/nlp-transformer-course-hugging-face-course", "kernel_id": "43899000"}, {"ref": "ritya26/efficientnet-aug-tf-keras-for-cassava-diseases", "kernel_id": "43963586"}, {"ref": "fredrickunderwood/0925ver", "kernel_id": "43659426"}, {"ref": "duplexmayer/image-classification-with-pytorch-and-efficientnet", "kernel_id": "44617286"}, {"ref": "isharanishendre/casses-leaf-model", "kernel_id": "44954709"}, {"ref": "fredrickunderwood/ver1022", "kernel_id": "44946805"}, {"ref": "harisuryacharanm/pytorch-cassava-data-with-resnet50-backbone-model", "kernel_id": "44027203"}, {"ref": "ahammedsulthan/vision-transformer", "kernel_id": "44953895"}, {"ref": "mdmojahidhussain/vision-transformer-vit-from-scratch", "kernel_id": "44890863"}, {"ref": "fredrickunderwood/ver1103-final-inference", "kernel_id": "45520570"}, {"ref": "purushoth00/cassava", "kernel_id": "45863356"}, {"ref": "kubarada/mpv-sp1", "kernel_id": "45160524"}, {"ref": "tolgatanrisever/transformer-and-v-t", "kernel_id": "46502391"}, {"ref": "anushkaajitd/cassava-leaf-disease-cyclegan-data-augmentation", "kernel_id": "46560693"}, {"ref": "imkashef/augmentation-with-imagedatagenerator-albumentation", "kernel_id": "46017255"}, {"ref": "janburian1999/mpv-term-paper-1", "kernel_id": "47652581"}, {"ref": "liudmilasbitneva/cassava-classification-lightautoml", "kernel_id": "48030263"}, {"ref": "nirmalsankalana/cassava-leaf-dataset-formatter", "kernel_id": "48213236"}, {"ref": "bromotdi/cassava-leaf-disease-classification", "kernel_id": "48923431"}, {"ref": "usaki7/resnet-for-cassava-leaf-classification", "kernel_id": "48996395"}, {"ref": "eladlavi/getting-started-tpus-cassava-leaf-disease", "kernel_id": "48965398"}, {"ref": "penggnep/leaf-disease-classification", "kernel_id": "49516067"}, {"ref": "arxhsgq/leaf-cls-demo", "kernel_id": "49254306"}, {"ref": "usaki7/reference-for-cassava", "kernel_id": "49094100"}, {"ref": "kianindeed/vit-with-pytorch", "kernel_id": "49727639"}, {"ref": "shroukmansour/visualizing-augmentations", "kernel_id": "50159472"}, {"ref": "owenpb/finetuned-resnet152-model-eda-and-training-1-2", "kernel_id": "50471534"}, {"ref": "owenpb/finetuned-resnet152-model-tta-and-inference-2-2", "kernel_id": "50747872"}, {"ref": "emilianopizaa/leaf-disease", "kernel_id": "50288670"}, {"ref": "foyzulhoque/vision-transformer-vit-from-scratch", "kernel_id": "50463801"}, {"ref": "vinaya25/vit-pretrained", "kernel_id": "51125704"}, {"ref": "anujjoshi3105/notebook10b2960cdc", "kernel_id": "51983488"}, {"ref": "anhnglinh/cv01-imageclassification", "kernel_id": "52101849"}, {"ref": "zeeshanyounas001/cassava-guardian", "kernel_id": "52608464"}, {"ref": "baloinguyen/cassava-resnext50-32x4d-starter-training", "kernel_id": "52213131"}, {"ref": "sanjaypramod02/cassavadiseaseclassifier", "kernel_id": "53989773"}, {"ref": "kuro98/cz4041-cassava-leaf", "kernel_id": "53840177"}, {"ref": "kohjunkai/ensemble-training", "kernel_id": "53654016"}, {"ref": "kuro98/original-submission", "kernel_id": "54247393"}, {"ref": "kuro98/ensemble-submission-notebook", "kernel_id": "54484567"}, {"ref": "anujpanthri/cassava-leaf-disease-classification-tensorflow", "kernel_id": "54920911"}, {"ref": "jaredheeralal/intelisys-tf-record-generator", "kernel_id": "54637892"}, {"ref": "zino777/intelisys-cropnet", "kernel_id": "54652241"}, {"ref": "akibhussain/disease-detection-in-plant-leaves-1", "kernel_id": "54342792"}, {"ref": "kohjunkai/submission-cassava", "kernel_id": "54770104"}, {"ref": "kousikv22mcr055/cassava-hybrid-of-resnet50-and-effecienet-v2", "kernel_id": "54725788"}, {"ref": "kousikv22mcr055/cassava-effecientnet-v3", "kernel_id": "54726445"}, {"ref": "haileyfritz/intelisys-resnext", "kernel_id": "54644927"}, {"ref": "jamessuryaputra/mission-leaf-possible", "kernel_id": "54999698"}, {"ref": "sanjaypramod02/final-inference", "kernel_id": "55516702"}, {"ref": "sanjaypramod02/inference", "kernel_id": "55462016"}, {"ref": "jaredheeralal/intelisys-final-efficientnet-b4-kfolds", "kernel_id": "55595843"}, {"ref": "jaredheeralal/intelisys-final-inference-workbook", "kernel_id": "55903495"}, {"ref": "jaijindal/inception-resnet-v2", "kernel_id": "55375360"}, {"ref": "jiashengie/edited", "kernel_id": "55250027"}, {"ref": "jiashengie/fork-of-edited-8e6b2c", "kernel_id": "55330404"}, {"ref": "jiashengie/iejialeaf", "kernel_id": "55284181"}, {"ref": "t0ra1107/pytorch-efficientnet-baseline-inference-tta", "kernel_id": "55980621"}, {"ref": "miketsvirkunov/cv-lr6-task-1", "kernel_id": "55903115"}, {"ref": "plugadapter3435/leaf-disease-classification-pytorch-vit", "kernel_id": "55348062"}, {"ref": "kushagraborse/crop-and-weed-vision-transformer-vit", "kernel_id": "55156830"}, {"ref": "beatricerizan/iioki", "kernel_id": "55168233"}, {"ref": "porktoyz/fork-of-edited-8e6b2c", "kernel_id": "55330604"}, {"ref": "porktoyz/jiashengleafs", "kernel_id": "55310579"}, {"ref": "zhongxinaa/cassava-submission", "kernel_id": "55484811"}, {"ref": "booleanwolf/cassava-classification-using-vit", "kernel_id": "57165682"}, {"ref": "booleanwolf/cassava-classification-using-resnet50-101-152", "kernel_id": "57258752"}, {"ref": "booleanwolf/cassava-classification-effecientnet-v3", "kernel_id": "57261099"}, {"ref": "ivanov666/notebook3e45ade810", "kernel_id": "57388915"}, {"ref": "flyver33/lab-6", "kernel_id": "57299947"}, {"ref": "artgmlg/cnn-image-classification-and-image-segmentation", "kernel_id": "57150033"}, {"ref": "pumpurumm/cassava-classification", "kernel_id": "57741539"}, {"ref": "malya56/lab-6", "kernel_id": "57831290"}, {"ref": "mikkagg/lab-7", "kernel_id": "57828734"}, {"ref": "aleksandraradionova/1-1-cnn", "kernel_id": "57840502"}, {"ref": "sayem333/cassava-classification-using-resnet50-101-152", "kernel_id": "57530574"}, {"ref": "rmizuta/exp-106-dual-10000", "kernel_id": "58503267"}, {"ref": "rooney2210/v6lab-final", "kernel_id": "58201975"}, {"ref": "huylystdtu/vision-transformer-vit-fine-tuning", "kernel_id": "58449825"}, {"ref": "jin0417/leaf-diease-classification-efnet-7-train", "kernel_id": "58810157"}, {"ref": "rhobith/cassava-image-classification", "kernel_id": "58913474"}, {"ref": "starry001/cassava-leaf-supervised-contrastive-learning", "kernel_id": "58411972"}, {"ref": "abdulabdul228/cv6-211", "kernel_id": "58382340"}, {"ref": "scarfx/my-first-pytorch-model", "kernel_id": "59439342"}, {"ref": "bishnutosh/assignment-week-1-gen-ai-internship", "kernel_id": "59945441"}, {"ref": "tushargandhi77/leaf-desease-detection", "kernel_id": "59933901"}, {"ref": "coolascool/cassava-leaf-disease-classification", "kernel_id": "59990641"}, {"ref": "jadshow/resnet-pytorch-model", "kernel_id": "60492414"}, {"ref": "animeshkr7/ann-assign", "kernel_id": "60078576"}, {"ref": "animeshkr7/logisticreg", "kernel_id": "60015429"}, {"ref": "animeshkr7/cnn-implementation", "kernel_id": "60105018"}, {"ref": "tushargandhi77/leaf-deases-detection-2", "kernel_id": "60280668"}, {"ref": "pranavparasar/leaf-desease-detection", "kernel_id": "60081161"}, {"ref": "snigdha78/notebook22dab76fa9", "kernel_id": "60105956"}, {"ref": "nikhilkhatri817/notebooka08eb99e2d", "kernel_id": "60106493"}, {"ref": "akankshak1509/leaf-disease", "kernel_id": "60078582"}, {"ref": "member09/leaf-disease-classification", "kernel_id": "61378581"}, {"ref": "scarfx/resnet-model-for-data-classification", "kernel_id": "61076905"}, {"ref": "amanverma547/vision-transformer-vit-visualize-attention-map", "kernel_id": "61661623"}, {"ref": "ilerioluwakiiye/cassava", "kernel_id": "62353821"}, {"ref": "dipit099/cassava-prediction-load-model", "kernel_id": "64299917"}, {"ref": "dipit099/cassava-leaf-disease-classification-save-model", "kernel_id": "64285640"}, {"ref": "pritiyaxshukla1/casava-diseases-classification-for-beginner", "kernel_id": "66640768"}, {"ref": "paradorn657/cassava-inferencee", "kernel_id": "67221658"}, {"ref": "zhengrongtao/sc4000-cassava-leaf-training", "kernel_id": "67962265"}, {"ref": "yeokayhong/submission", "kernel_id": "67842328"}, {"ref": "nguyennhatkhoa/vision-transformer-vit-visualize-attention-map", "kernel_id": "68010743"}, {"ref": "wtttommy/efficientnet", "kernel_id": "68166509"}, {"ref": "adityapugalia/resnet-model", "kernel_id": "68467368"}, {"ref": "mrhimanshusahu/cassavaleafclassification", "kernel_id": "68894881"}, {"ref": "whw132505/qqqqqq1", "kernel_id": "69760755"}, {"ref": "junhuigjh/notebookef36081527", "kernel_id": "69304227"}, {"ref": "nordicy/using-resnet", "kernel_id": "69308915"}, {"ref": "nordicy/ensemble", "kernel_id": "69559453"}, {"ref": "vimalathithan22i272/cassava-leaf-classification-project", "kernel_id": "69049045"}, {"ref": "likeabubble/cassava-getting-started-with-tpus-basic", "kernel_id": "69353780"}, {"ref": "likeabubble/cassava-prediction-part", "kernel_id": "69712941"}, {"ref": "leopoldfrieberger/my-inference-only-leaf-submission", "kernel_id": "69196192"}, {"ref": "anuwatthanakhamda/cassava-updated", "kernel_id": "69736988"}, {"ref": "syedafraz/cycle-gan", "kernel_id": "70248025"}, {"ref": "alicia564/ensemble-learning", "kernel_id": "70070039"}, {"ref": "alicia564/cropnet-feature-extraction", "kernel_id": "70023730"}, {"ref": "alicia564/vanilla-cropnet", "kernel_id": "70214485"}, {"ref": "alicia564/stacked-ensemble", "kernel_id": "70837079"}, {"ref": "anthonymoeder/dsci-598-cassava-ajm", "kernel_id": "70178902"}, {"ref": "anthonymoeder/dsci-598-cassava-ajm-prediction", "kernel_id": "70997537"}, {"ref": "thomasnelson/cassava-leaf-yolov8n-large-epoch", "kernel_id": "71290329"}, {"ref": "evansjh/ensemble-cassava", "kernel_id": "71216038"}, {"ref": "zyh1104/021-cassava-leaf-disease-classification", "kernel_id": "71479347"}, {"ref": "mushiburrahman/classify-cassava-leaf-disease-updated-vit", "kernel_id": "71714685"}, {"ref": "tmrjov/ml-submission", "kernel_id": "71352541"}, {"ref": "ksmooi/classify-cassava-leaf-disease-vit-tta", "kernel_id": "71394930"}, {"ref": "ksmooi/classify-cassava-leaf-disease-efficientnet-tta", "kernel_id": "71386895"}, {"ref": "eniyatamilarasan/c-gan-to-enlarge-training-data", "kernel_id": "72024607"}, {"ref": "abhi0108sharma/cassava-projectabhishek", "kernel_id": "72958965"}, {"ref": "pufanyi/sc4000-final-submission", "kernel_id": "73705943"}, {"ref": "lalithavenkat1405/vision-transformer-baseline", "kernel_id": "73474360"}, {"ref": "iqranaz240/vision-transformer-vit-from-scratch", "kernel_id": "74519139"}, {"ref": "atharvcode/cassava-leaf-deciease-pytorch", "kernel_id": "74376071"}, {"ref": "gabetonks/most-common", "kernel_id": "76682559"}, {"ref": "kevinroberts21/most-frequent-kevin-s", "kernel_id": "76871331"}, {"ref": "omkar334/maianet-cassava-leaf-disease", "kernel_id": "77057306"}, {"ref": "dwija68/vgg16-fine-tuning", "kernel_id": "77469874"}, {"ref": "senasudemir/cassava-leaf-disease-image-classification", "kernel_id": "77063747"}, {"ref": "josette12/cassava-leaf-disease-model-improved", "kernel_id": "77039203"}, {"ref": "yutoshibata/cassavasimplebaseline", "kernel_id": "78821701"}, {"ref": "rarearr/for-submitting-d7e954", "kernel_id": "78819648"}, {"ref": "t0ra1107/cassavasimplebaseline-inference", "kernel_id": "78855833"}, {"ref": "jugalmodipesurr/vision-transformer-vit", "kernel_id": "78253128"}, {"ref": "davinci2003/cassava-leaf-train-fork", "kernel_id": "78101138"}, {"ref": "abhineetk1234/cassava-kernel", "kernel_id": "78311128"}, {"ref": "kevinroberts21/getting-started-edited-kevin-s", "kernel_id": "78842609"}, {"ref": "meghaslekshmi/vision-transformer-vit-from-scratch", "kernel_id": "79014876"}, {"ref": "flosten/image-classification", "kernel_id": "79837378"}, {"ref": "flosten/image-preprocessing", "kernel_id": "79587524"}, {"ref": "flosten/baseline-model", "kernel_id": "79310315"}, {"ref": "dwija68/efficientnet-training", "kernel_id": "80711515"}, {"ref": "dwija68/vgg16-model-training-and-tuning", "kernel_id": "80710282"}, {"ref": "dwija68/vgg16", "kernel_id": "80724164"}, {"ref": "dwija68/efficient-net", "kernel_id": "80721958"}, {"ref": "lfytghhmdhfj/notebook24a013d56d", "kernel_id": "80558497"}, {"ref": "shajedur0/cassava-leaf-disease-best-keras-cnn", "kernel_id": "80510917"}, {"ref": "xuanfanlin/cld-classification-xuanfan-lin", "kernel_id": "80250020"}, {"ref": "kevinroberts21/random-forest-model", "kernel_id": "80449515"}, {"ref": "kevinroberts21/decision-tree-model", "kernel_id": "80252015"}, {"ref": "nocharon/cassava-efficientnet", "kernel_id": "80055118"}, {"ref": "nocharon/cropnet", "kernel_id": "80369202"}, {"ref": "vaibhavasutkar/cassava-leaf-disease-classification", "kernel_id": "81900239"}, {"ref": "swapnilshahapurkar/cycle-gan-to-enlarge-training-data", "kernel_id": "81701605"}, {"ref": "ugurcan95/leaf-disease", "kernel_id": "81321125"}, {"ref": "yutinglu0417/herb-5fold", "kernel_id": "82403641"}, {"ref": "dima123s/notebookf8760d18f6", "kernel_id": "83609141"}, {"ref": "tinglintwu/vrdl-dinov2", "kernel_id": "83704591"}, {"ref": "dilrabonu/cassava-leaf-disease-classification", "kernel_id": "83284823"}, {"ref": "itssleepysaad/cassava", "kernel_id": "83705742"}, {"ref": "rainsytwu/cassava-leaf-disease-classification", "kernel_id": "83645423"}, {"ref": "muntasirefaz574/insect-detection", "kernel_id": "83526682"}, {"ref": "ambarish/cassava-effnetb5", "kernel_id": "84515046"}, {"ref": "dynamo14324/enhanced-vit-tutorial-baseline-with-eda", "kernel_id": "84101024"}, {"ref": "abdelruhmanessam/exploring-the-cassava-disease", "kernel_id": "85662314"}, {"ref": "niuniu0101/resnet-dpfrv1", "kernel_id": "85665439"}, {"ref": "niuniu0101/resnet50baseline", "kernel_id": "85653437"}, {"ref": "atishshrma/cassava-leaf-disease-classification", "kernel_id": "85677487"}, {"ref": "phamhoang24/notebook9bb6df8772", "kernel_id": "85495475"}, {"ref": "kkniuniu/resnet50ccia", "kernel_id": "85655937"}, {"ref": "kkniuniu/asda-new", "kernel_id": "85678634"}, {"ref": "kkniuniu/dpfrnet", "kernel_id": "85704275"}, {"ref": "dk0120/disease-cnn", "kernel_id": "87013474"}, {"ref": "maham9/swin-transformer-for-cassava-leaf-disease-detecti", "kernel_id": "87484834"}, {"ref": "takshpal/multi-output-classification-regression", "kernel_id": "87418069"}, {"ref": "sezginkyle/cassava-leaf-disease-classification", "kernel_id": "87780672"}, {"ref": "ricardolopera/leaf-disease-classification", "kernel_id": "87125005"}, {"ref": "disha520/cassava-leaf-disease-classification-model", "kernel_id": "88408833"}, {"ref": "amirmohamadaskari/cassava-leaf-train-tpu-efficientnetb3-fine-tuning", "kernel_id": "88287149"}, {"ref": "sezginkyle/dl-cassava-leaf-disease-classification", "kernel_id": "88663161"}, {"ref": "vinayakdu10/cdd-mobilenet", "kernel_id": "89197164"}, {"ref": "vinayakdu10/cddnetmodel", "kernel_id": "89196146"}, {"ref": "amirmohamadaskari/cassava-leaf-inference-tta-with-loading-my-model", "kernel_id": "89616561"}, {"ref": "vinayakai/dense-net-cdd", "kernel_id": "89771609"}, {"ref": "osama12bin/notebook389ca7bfc0", "kernel_id": "91207757"}, {"ref": "dmitryvolovikov/cassava-leaf-disease-classification", "kernel_id": "93798004"}, {"ref": "govindbhatter/cassava-leaf-disease-classification", "kernel_id": "93987308"}, {"ref": "henryherrera007/cropnet", "kernel_id": "94834966"}, {"ref": "henryherrera007/cassava-cropnet", "kernel_id": "94849627"}, {"ref": "henryherrera007/cassava-efficientnet", "kernel_id": "94995844"}, {"ref": "tanvirarifsiddiqui/deep-data-discovery-research-mapping", "kernel_id": "94426010"}, {"ref": "hoangthaiduongk18hl/cassava-leaf-disease", "kernel_id": "94319269"}, {"ref": "dawitkassaw/a-hierarchical-deep-learning-framework-for-robust", "kernel_id": "94779615"}, {"ref": "quangnguynv/cassava-leaf-disease-classification-simple-cnn", "kernel_id": "95154848"}, {"ref": "trantuananhk18hl/dat-fpt-project-s", "kernel_id": "97017010"}, {"ref": "johnmgage/jmg-cassava-leaf-v01", "kernel_id": "98350171"}, {"ref": "devopsmasterpro/ea-cassava-leaf-disease-classification-sub", "kernel_id": "98225738"}, {"ref": "devopsmasterpro/ea-cassava-leaf-disease-classification-v1", "kernel_id": "98225675"}, {"ref": "hngphanasd/vision-transformer-vit-from-scratch", "kernel_id": "98248734"}, {"ref": "mehdiqanbari/cassava-leaf-disease-efficientnetb0-training", "kernel_id": "99737872"}, {"ref": "minhquang24/canva-leaf-disease", "kernel_id": "99069417"}, {"ref": "atiehakbari/ann-cassava-leaf-disease-classification", "kernel_id": "99947017"}, {"ref": "minhngnguynphc/cassava-leaf-all-in-1", "kernel_id": "100887322"}, {"ref": "letitiacowell/alexandria-competition-cassava-leaf-disea-297384", "kernel_id": "100714586"}, {"ref": "mehdiqanbari/cassava-leaf-disease-efficientnetb0-inference", "kernel_id": "101935379"}, {"ref": "sinamahallati/notebookeef157256f", "kernel_id": "101704828"}, {"ref": "sinamahallati/notebooke3f29ecd09", "kernel_id": "101806517"}, {"ref": "nahidmasoudian/notebookcassava", "kernel_id": "101263662"}, {"ref": "invalizare/cassava-gpu", "kernel_id": "101961099"}, {"ref": "littlesparklemahsa/notebook9b098b9c93", "kernel_id": "101855817"}, {"ref": "karamalhanatleh/smart-leaf-disease-detection-system", "kernel_id": "102249243"}, {"ref": "itzpraaanjal/2nd-vitb16", "kernel_id": "102863500"}, {"ref": "itzpraaanjal/swin-l4th", "kernel_id": "102923920"}, {"ref": "handeharmankaya/cassava-leaf-disease-classification", "kernel_id": "102873091"}, {"ref": "sajnashoukath/cassava-leaf-class1", "kernel_id": "102760177"}, {"ref": "skanisul/vision-transformer-vit-from-scratch", "kernel_id": "102451878"}, {"ref": "littlesparklemahsa/cassava-inference", "kernel_id": "102071296"}, {"ref": "janechrestella/assignment1-dl-jane", "kernel_id": "102085325"}, {"ref": "ahmedamrelhefnawy/cassava-leaf-disease-classification", "kernel_id": "103396850"}, {"ref": "mohamedeied/cassava-project-team-name", "kernel_id": "103884753"}, {"ref": "kushthapar/notebook216c9c5bd4", "kernel_id": "103067056"}, {"ref": "aryanvashishth01/notebook146aab3b16", "kernel_id": "103096652"}, {"ref": "buthainahalobaidli/dseg660-final-project-leaf-disease-classification", "kernel_id": "103634011"}, {"ref": "omarnagyafifi12/cassava-leaf-disease-classification-project", "kernel_id": "103812400"}, {"ref": "yuvika2312/completedlproject", "kernel_id": "103048064"}, {"ref": "analyticssg/notebook637e5fe270", "kernel_id": "103093774"}, {"ref": "rohit2809/notebook5583900fcf", "kernel_id": "103089202"}, {"ref": "habibaabdelmalik/notebookf12a2f3d97", "kernel_id": "103483124"}, {"ref": "henryherrera007/ensembing-cassava", "kernel_id": "104577348"}, {"ref": "henryherrera007/convnext-tiny-fl", "kernel_id": "104045341"}, {"ref": "johnmgage/jmg-cassava-leaf-final-model", "kernel_id": "104486535"}, {"ref": "samirm0hamed/cassava-leaf-disease-detection-final-project", "kernel_id": "104535451"}, {"ref": "sadmansakib006/my-notebook", "kernel_id": "104107647"}, {"ref": "nadaroshdy/cassava-leaf-disease-classification", "kernel_id": "104357940"}, {"ref": "omarnagyafifi12/final-project-cassava-leaf-disease-classification", "kernel_id": "104433070"}, {"ref": "aliashraf2003/final-project-cassava-leaf-disease-classification", "kernel_id": "104045779"}, {"ref": "habibaelsherkawy/nn-project", "kernel_id": "104966322"}, {"ref": "nganhduc2006/vision-transformer-vit-from-scratch", "kernel_id": "104851958"}, {"ref": "lamphamit1507/cvcuatv", "kernel_id": "104453105"}, {"ref": "omardawoud4/final-project", "kernel_id": "104087602"}, {"ref": "wasem2002/fork-of-notebook085c689dc2", "kernel_id": "104114865"}, {"ref": "maifarahat00/cassava-leaf-disease-classification-project", "kernel_id": "104979231"}, {"ref": "lishujin01/nn-final-project", "kernel_id": "105379663"}, {"ref": "ahmdeltoky/cassava-leaf-disease-classification-efficientnet", "kernel_id": "105001613"}, {"ref": "ahmedabuseta/notebook5b0c7db110", "kernel_id": "105013024"}, {"ref": "thuyvanne/cvcuatv-ehehehe", "kernel_id": "105285970"}, {"ref": "animesh0955/casava-leaf-disease-detection", "kernel_id": "105386488"}, {"ref": "faresmahmoud101/nn-final-project", "kernel_id": "105041732"}, {"ref": "thaotrangluukhac/2-transfer-learning", "kernel_id": "106685003"}, {"ref": "thaotrangluukhac/1-cnn-from-scratch-for-cassava-leaf-disease", "kernel_id": "106401701"}, {"ref": "cbdsigmas/cassava-ver3-sub", "kernel_id": "106625498"}, {"ref": "teudepdzai/offical-resnet-in-cassava-leaf-disease", "kernel_id": "106722898"}, {"ref": "teudepdzai/first-cv", "kernel_id": "106135383"}, {"ref": "mrdeptrai/nop-bai-cv-2", "kernel_id": "106545253"}, {"ref": "sodhariraghu/cassava-dataset-majorproject", "kernel_id": "106484022"}, {"ref": "rohitpanchariya/cassava-leaf-disease-classification", "kernel_id": "107532764"}, {"ref": "mrdeptrai/blend-resnet", "kernel_id": "107108011"}, {"ref": "lovepreetsharma/fedavg", "kernel_id": "108062930"}, {"ref": "qosainshah/cassva-leaf-disease-classfication", "kernel_id": "108521417"}, {"ref": "leyuzakoksoken/leafguard-cassava-disease-baseline", "kernel_id": "108202474"}, {"ref": "nearuandi/cassava-model-comparison-with-pytorch", "kernel_id": "109248596"}, {"ref": "taeyeon0102/cassava-leaf-disease-classification", "kernel_id": "110796116"}, {"ref": "kanokrossopitanont/cassava-leaf-disease-classification", "kernel_id": "111545593"}, {"ref": "play12/verd-model-training-with-provided-expanded-dataset", "kernel_id": "111839102"}, {"ref": "kemaldemirba/cassava-ai-efficientnet-fine-tuning", "kernel_id": "111487574"}, {"ref": "playjaehoon/aistudy-final", "kernel_id": "111747358"}, {"ref": "playjaehoon/ai-final2", "kernel_id": "111670501"}, {"ref": "hayqalsalmanazrian/notebooke4c02df34c", "kernel_id": "112488420"}, {"ref": "diegovivolo/proyecto-emergentes", "kernel_id": "112059470"}, {"ref": "umapathimudiraj/notebookb460ed1cf3", "kernel_id": "113894581"}, {"ref": "tauhidulislamtopu/cassava-leaf-disease-image-classifications", "kernel_id": "114357784"}, {"ref": "zynptkn06/cassava-leaf-disease", "kernel_id": "114810762"}, {"ref": "on108ga/week3-notebook", "kernel_id": "114324153"}, {"ref": "mugishapacifique/efficientnet-model-on-cassava-disease-prediction", "kernel_id": "115434722"}, {"ref": "mizeroluckygall/cassava-leaf-disease-classification", "kernel_id": "115453637"}, {"ref": "promesser/cnnbestcassavaleafdiseaseclassification", "kernel_id": "115417312"}, {"ref": "promesser/bestcassavaleaf-diseaseclassificationoptmised", "kernel_id": "115416015"}, {"ref": "abayobenitha/challange-2", "kernel_id": "115430328"}, {"ref": "iteteronikita/cassava-leaf-disease-classification", "kernel_id": "115454365"}, {"ref": "yychhh/final-project-1-0", "kernel_id": "117551622"}, {"ref": "skyed22/cassava-f", "kernel_id": "119914068"}, {"ref": "namchinhhoathanh/image-classification-3-voai-2026", "kernel_id": "119698830"}, {"ref": "skyed22/cassava-f-infer", "kernel_id": "120038517"}, {"ref": "farhanadityafauzi/xception-rebuild-unet", "kernel_id": "124026024"}, {"ref": "hoodrichpirobo/getting-started-tpus-cassava-leaf-disease", "kernel_id": "125073904"}, {"ref": "mohitkumarmahi0001/cassava-leaf-disease-classification", "kernel_id": "125504458"}, {"ref": "gbemara/ka-cassava-week3", "kernel_id": "127848513"}, {"ref": "gbemara/ka-cassava-leaf-week-4", "kernel_id": "128551734"}, {"ref": "allenernest72/cassava-disease-detection", "kernel_id": "128585070"}, {"ref": "gbemara/ka-cassava-week-5", "kernel_id": "129355772"}, {"ref": "gbemara/cassava-week-7-ka", "kernel_id": "130901779"}, {"ref": "gbemara/ka-cassava-week-6", "kernel_id": "130167522"}, {"ref": "gbemara/ka-cassava-week-8", "kernel_id": "131772011"}]}
{"competition_id": "13837", "kernels": []}
{"competition_id": "13848", "kernels": [{"ref": "ananaymital/stacking", "kernel_id": "3489770"}, {"ref": "yogeshdasgaonkar/2018phxp0415g-eval3", "kernel_id": "3495916"}, {"ref": "f20160488/2016a1ps0488gclassification", "kernel_id": "3524403"}, {"ref": "prajaktasd/2016a8ps0733", "kernel_id": "3517806"}, {"ref": "f20160497/kernel8dc8854370", "kernel_id": "3630193"}]}
{"competition_id": "13853", "kernels": []}
{"competition_id": "13857", "kernels": []}
{"competition_id": "13870", "kernels": []}
{"competition_id": "13876", "kernels": [{"ref": "l4morak/fashion-is-my-profession", "kernel_id": "3483852"}, {"ref": "mareevn/kernelabfdaaf641", "kernel_id": "3489735"}, {"ref": "tiurinea/kernel9c86fbb67f", "kernel_id": "3524149"}]}
{"competition_id": "13878", "kernels": []}
{"competition_id": "13881", "kernels": [{"ref": "sonalsavaliya/kernelf7e8b1fe2f", "kernel_id": "4089833"}]}
{"competition_id": "13896", "kernels": []}
{"competition_id": "13899", "kernels": [{"ref": "clairestevenson/kernelc21603fcaa", "kernel_id": "3526096"}]}
{"competition_id": "13903", "kernels": []}
{"competition_id": "13913", "kernels": []}
{"competition_id": "13928", "kernels": []}
{"competition_id": "13929", "kernels": []}
{"competition_id": "13937", "kernels": []}
{"competition_id": "13941", "kernels": []}
{"competition_id": "13942", "kernels": []}
{"competition_id": "13943", "kernels": [{"ref": "diciaccio/kernela84eedea3e", "kernel_id": "3596378"}]}
{"competition_id": "13952", "kernels": []}
{"competition_id": "13963", "kernels": []}
{"competition_id": "13971", "kernels": []}
{"competition_id": "13979", "kernels": []}
{"competition_id": "13984", "kernels": []}
{"competition_id": "13986", "kernels": [{"ref": "saurav9786/vehicle-identification", "kernel_id": "5919587"}, {"ref": "aloksahu7478/st4035-2019-assignment-1-logistic-regression-0-74", "kernel_id": "11746349"}, {"ref": "aloksahu7478/st4035-2019-assignment-1-svc-0-78-accuracy", "kernel_id": "11751209"}, {"ref": "aloksahu7478/st4035-2019-assignment-1-random-forest", "kernel_id": "11745390"}]}
{"competition_id": "13988", "kernels": [{"ref": "darbin/starter-kernel", "kernel_id": "3828227"}, {"ref": "sudalairajkumar/dsfg-exploration-of-jobs-at-la", "kernel_id": "3849963"}, {"ref": "silverfoxdss/city-of-la-readability-and-promotion-nudges", "kernel_id": "3837115"}, {"ref": "amibah/extract-explore-regex-tfidf-clustering", "kernel_id": "3935437"}, {"ref": "devinanzelmo/labelling-requirements-wip", "kernel_id": "3876357"}, {"ref": "devinanzelmo/exploring-problem-statement", "kernel_id": "3833862"}, {"ref": "devinanzelmo/starter-problem-with-simple-soln", "kernel_id": "3836928"}, {"ref": "ds5258557/building-data-for-analysis-of-cityofla-jobs", "kernel_id": "3875127"}, {"ref": "aiswaryaramachandran/extracting-and-cleaning-data", "kernel_id": "3839159"}, {"ref": "bbailey/data-science-for-good-city-of-la-starter-kernel", "kernel_id": "3759832"}, {"ref": "guptakhil12/game-of-jobs-all-features-must-confess", "kernel_id": "3912370"}, {"ref": "koalabearski/good-job-postings-start-with-language", "kernel_id": "3888171"}, {"ref": "koalabearski/list-of-data-columns-extracted-by-kernels", "kernel_id": "3877100"}, {"ref": "koalabearski/quality-check-of-unstructured-csv", "kernel_id": "3955989"}, {"ref": "sgovindu/starter-analysis", "kernel_id": "3863336"}, {"ref": "heena34/extracting-info-using-regex-and-text-processing", "kernel_id": "3851939"}, {"ref": "tserekh/parsing-and-some-exploration", "kernel_id": "3926029"}, {"ref": "karthickaravindan/preparing-dataset", "kernel_id": "3830957"}, {"ref": "tyagit3/starter-text-bulletins-to-dataframe", "kernel_id": "3837011"}, {"ref": "ranjana1/la-job-bulletins", "kernel_id": "3862291"}, {"ref": "dkhachatrian/city-of-la-jobs-how-to-improve-diversity", "kernel_id": "3868215"}, {"ref": "samomullane/dataset-exploration", "kernel_id": "3833345"}, {"ref": "shahules/discovering-opportunities-at-la", "kernel_id": "3839020"}, {"ref": "seshadrikolluri/la-job-postings-data-cleaning-analysis-suggestions", "kernel_id": "3888948"}, {"ref": "niyamatalmass/2-raw-job-bulletins-to-structured-csv", "kernel_id": "3878431"}, {"ref": "lucifer19/la-prophet", "kernel_id": "3835567"}, {"ref": "sanikamal/city-of-la-exploration-of-job-bulletins", "kernel_id": "3845487"}, {"ref": "paultimothymooney/explore-job-postings", "kernel_id": "3827566"}, {"ref": "ichabuddaeta/py-bagofwords-and-full-text", "kernel_id": "3877137"}, {"ref": "anirbank/datadictionary-job", "kernel_id": "3889691"}, {"ref": "anirbank/basic-eda", "kernel_id": "3851959"}, {"ref": "anirbank/datascience-cityofla", "kernel_id": "3953777"}, {"ref": "shivamanhar/los-angeles-analysis", "kernel_id": "3850240"}, {"ref": "sarmat/pretrained-sota-ner-parsing", "kernel_id": "3931374"}, {"ref": "shivamb/1-bulletin-structuring-engine-cola", "kernel_id": "3841623"}, {"ref": "engrjk111/city-of-la-starter-kernel-engrjk1", "kernel_id": "3846878"}, {"ref": "venuchalla/la-jobs-analysis", "kernel_id": "3928951"}, {"ref": "lkuen89/job-bulletin-simple-sentiment-analysis", "kernel_id": "3992641"}, {"ref": "roma2n/data-science-for-good-city-of-la-starter-kernel", "kernel_id": "3884939"}, {"ref": "danielbecker/l-a-jobs-data-exctraction-eda", "kernel_id": "3828960"}, {"ref": "sobrinomario/city-of-la-starter-kernel", "kernel_id": "3829837"}, {"ref": "bachrr/dsfg-jobs-at-la-eda", "kernel_id": "3868389"}, {"ref": "filthyilliterate/phrasing-improving-diversity-through-formatting", "kernel_id": "3923507"}, {"ref": "jazivxt/a-freakonomics-opportunity", "kernel_id": "3830421"}, {"ref": "paulocaldas/exploring-job-info-using-pandas", "kernel_id": "3993081"}, {"ref": "rdhnw1/la-jobs-explicit-links-diagrams", "kernel_id": "3833997"}, {"ref": "rdhnw1/la-job-data-explicit-links-and-language-analysis", "kernel_id": "3853418"}, {"ref": "ranimdewaib/city-of-la-job-bulletins", "kernel_id": "3883269"}, {"ref": "arlen444/comprehensive-fast-processing-using-asyncio", "kernel_id": "3885385"}, {"ref": "selfmade95/reading-data-from-txt-to-pandas", "kernel_id": "3835154"}, {"ref": "claurin1/building-a-structured-csv-file-data-dictionary", "kernel_id": "3886953"}, {"ref": "navi69629/data-science-for-good-city-of-los-angeles", "kernel_id": "4278701"}, {"ref": "ambarish/los-angeles-jobs-text-mining", "kernel_id": "4356535"}, {"ref": "ambarish/la-jobs-big-analysis", "kernel_id": "4246074"}, {"ref": "silverfoxdss/city-of-la-fun-with-job-graphs", "kernel_id": "4023796"}, {"ref": "stefangindl/data-science-for-good-los-angeles", "kernel_id": "4428287"}, {"ref": "koalabearski/how-la-uses-we-you-and-applicant-to-hire", "kernel_id": "4131729"}, {"ref": "heena34/unstructured-to-structured-data", "kernel_id": "4432193"}, {"ref": "ckinnen/better-late-than-never-inequitable-time-windows", "kernel_id": "4420668"}, {"ref": "tyagit3/dsfg-cityofla-biasedness-readability", "kernel_id": "4427039"}, {"ref": "tyagit3/dsfg-cityofla-analysis-and-solution-application-4", "kernel_id": "4415795"}, {"ref": "tyagit3/dsfg-cityofla-analysis-and-solution", "kernel_id": "4386527"}, {"ref": "moizzz/city-of-los-angeles-data-cleansing", "kernel_id": "4059401"}, {"ref": "gavinln/improve-diversity-of-la-job-applicants", "kernel_id": "4423616"}, {"ref": "benjams/submission", "kernel_id": "4401494"}, {"ref": "jianhong/discovering-opportunities-at-la", "kernel_id": "4389394"}, {"ref": "aparnavt/city-of-la-problem-text-to-csv", "kernel_id": "4219500"}, {"ref": "niyamatalmass/5-jobs-promotional-pathway", "kernel_id": "4332028"}, {"ref": "niyamatalmass/1-introduction-to-the-solution-of-dsg-city-of-la", "kernel_id": "4344162"}, {"ref": "niyamatalmass/4-improve-the-diversity-and-quality", "kernel_id": "4217796"}, {"ref": "niyamatalmass/3-identify-biased-language", "kernel_id": "4122210"}, {"ref": "ruifurtado/turning-los-angeles-into-job-angels", "kernel_id": "4055473"}, {"ref": "abhi3ichigo/job-la", "kernel_id": "4161040"}, {"ref": "ashrafzaidi/kernel2b6381cb6e", "kernel_id": "4345998"}, {"ref": "antonellobuccoliero/structured-csv-for-jobbullettin-lacity-with-tool", "kernel_id": "4431813"}, {"ref": "gowthamteja/job-opportunities-city-of-la", "kernel_id": "4247652"}, {"ref": "gowthamteja/exploring-job-bulletins", "kernel_id": "4380183"}, {"ref": "chrisnb/jobs-in-la-descriptions-and-career-paths", "kernel_id": "4312188"}, {"ref": "swapnilshinde367/la-jobs-data-analytics-kernel", "kernel_id": "4011686"}, {"ref": "shivamb/2-encourage-diversity-reduce-bias-cola", "kernel_id": "4008268"}, {"ref": "shivamb/4-promotional-pathway-discoverability-cola", "kernel_id": "4105003"}, {"ref": "shivamb/3-impact-of-ctl-content-tone-language-cola", "kernel_id": "4194384"}, {"ref": "shivamb/5-implicit-promotional-pathways-discoverability", "kernel_id": "4391702"}, {"ref": "jmartindelasierra/structuring-and-analyzing-job-descriptions", "kernel_id": "4421113"}, {"ref": "kuldeepdhadhwal/la-job-postings", "kernel_id": "4497754"}, {"ref": "akhatova/city-of-los-angeles-csv-eda", "kernel_id": "4397249"}, {"ref": "jamesomatic/other-jobs-you-may-be-interested-in", "kernel_id": "4120022"}, {"ref": "bingwu0/data-science-for-good", "kernel_id": "4430466"}, {"ref": "ajaldin/la-by-moodbit", "kernel_id": "4417525"}, {"ref": "vicely07/sentiment-analysis-of-city-of-la-job-postings", "kernel_id": "4049382"}, {"ref": "rdhnw1/la-job-data-analysis-and-recommendations", "kernel_id": "4377803"}, {"ref": "sandeepksb/la-latest", "kernel_id": "4158008"}, {"ref": "reetap/city-of-la-job-recommendation", "kernel_id": "4354717"}, {"ref": "alisondoucette/la-word-difficulty-gender-and-age-bias-take-two", "kernel_id": "4427901"}, {"ref": "alisondoucette/la-word-difficulty-gender-and-age-bias", "kernel_id": "4371216"}, {"ref": "timvdnbroucke/city-of-los-angeles-a-keyword-based-approach", "kernel_id": "4410604"}, {"ref": "learnshreya/kaggle-cityofla-competition", "kernel_id": "4149293"}, {"ref": "nheyheyhey/city-of-la-new", "kernel_id": "4286488"}, {"ref": "yunwang1220/analysis-of-job-bulletins", "kernel_id": "4319068"}, {"ref": "tomfranken/la-diversity-the-hard-way", "kernel_id": "4411610"}, {"ref": "gbwalker/la-jobs-precise-pathway-mapping-bias-analysis", "kernel_id": "4063146"}, {"ref": "niccc30/kernel-wv", "kernel_id": "4172334"}, {"ref": "nanmon/la-job-bulletin-analysis", "kernel_id": "4098315"}, {"ref": "claurin1/promotion-graphs-example-csv", "kernel_id": "4286168"}, {"ref": "claurin1/applicant-pool-diversity-v-bulletin-language-recs", "kernel_id": "4360260"}, {"ref": "eparkeriii/kernel0bacf75816", "kernel_id": "4401606"}, {"ref": "mohene1/kernelc824ac17fa", "kernel_id": "4331988"}, {"ref": "lhd0430/dsfg-cola", "kernel_id": "5213352"}, {"ref": "gargshriya/houseprices-advanced-regression-techniques", "kernel_id": "5441735"}, {"ref": "subhomajumder/la-jobs-big-analysis", "kernel_id": "7369637"}, {"ref": "omgl93/la-opportunities-data-extraction-and-analysis", "kernel_id": "10885470"}, {"ref": "rubaababneh/1-bulletin-structuring-engine-cola", "kernel_id": "34753137"}, {"ref": "abododeh/city-of-la-solution", "kernel_id": "35681932"}, {"ref": "vagfsantos/city-of-la-problem-text-to-csv", "kernel_id": "37550118"}, {"ref": "vagfsantos/la-job-applications", "kernel_id": "37550236"}, {"ref": "yousefalomari/city-of-la-job-applications", "kernel_id": "41850392"}, {"ref": "asmaekar2003/3-identify-biased-language", "kernel_id": "54698958"}, {"ref": "cardata/ds-for-good-la-city", "kernel_id": "56285512"}, {"ref": "yukyoungchoi/la-job-application-copywork-study", "kernel_id": "78486354"}]}
{"competition_id": "13990", "kernels": []}
{"competition_id": "13992", "kernels": []}
{"competition_id": "13993", "kernels": []}
{"competition_id": "13994", "kernels": []}
{"competition_id": "13998", "kernels": []}
{"competition_id": "13999", "kernels": []}
{"competition_id": "14013", "kernels": []}
{"competition_id": "14030", "kernels": [{"ref": "hamelg/dota-2-hero-win-rates", "kernel_id": "3745697"}, {"ref": "hamelg/dota2-eda", "kernel_id": "3627240"}]}
{"competition_id": "14036", "kernels": [{"ref": "kxvptev/linearsvc-tfidfvectorizer", "kernel_id": "6581772"}, {"ref": "aaazat/kernel2731a59312", "kernel_id": "6600739"}, {"ref": "nataliaballa/sentiment-linear-svc", "kernel_id": "12290382"}, {"ref": "evgenykorchagin/korchagines-simplesentiment", "kernel_id": "14360666"}, {"ref": "nofantasyno/sentiment-analysis", "kernel_id": "23390857"}]}
{"competition_id": "14037", "kernels": [{"ref": "nofantasyno/analysis", "kernel_id": "23409192"}]}
{"competition_id": "14038", "kernels": []}
{"competition_id": "14043", "kernels": []}
{"competition_id": "14047", "kernels": []}
{"competition_id": "14048", "kernels": []}
{"competition_id": "14054", "kernels": []}
{"competition_id": "14056", "kernels": []}
{"competition_id": "14065", "kernels": []}
{"competition_id": "14070", "kernels": []}
{"competition_id": "14073", "kernels": []}
{"competition_id": "14078", "kernels": []}
{"competition_id": "14079", "kernels": []}
{"competition_id": "14083", "kernels": [{"ref": "kacper1095/basic-processing", "kernel_id": "3551201"}]}
{"competition_id": "14086", "kernels": []}
{"competition_id": "14097", "kernels": []}
{"competition_id": "14101", "kernels": []}
{"competition_id": "14107", "kernels": []}
{"competition_id": "14108", "kernels": [{"ref": "shrut1996/2015a7ps0032g-dm2", "kernel_id": "3566507"}, {"ref": "f20150094/2015a7ts0094g-ass2", "kernel_id": "3621372"}, {"ref": "f20150098/2015a7ps0098g", "kernel_id": "3618471"}, {"ref": "ar0626/2016a7ps0675g-assignment2", "kernel_id": "3618252"}, {"ref": "ar0626/dma22016a7ps0675g", "kernel_id": "3619465"}, {"ref": "srikarreddym/dm2-2016a7ps0674g", "kernel_id": "3618687"}, {"ref": "adityalahiri/2016a7ps0062g-dm2", "kernel_id": "3594722"}, {"ref": "rishibm1310/kernelc6bda38ec7", "kernel_id": "3625988"}, {"ref": "gchhablani/2016a7ps0022g-dm2", "kernel_id": "3614715"}, {"ref": "warlockz/2015b4a70481g-dm2", "kernel_id": "3616611"}, {"ref": "ishaan0041/2016a7ps0041g-dm2", "kernel_id": "3616445"}, {"ref": "akashv9712/2015b4a70706g-dm2", "kernel_id": "3618062"}, {"ref": "f20150469/2015b4a70469g-dm-2", "kernel_id": "3614859"}, {"ref": "raghavgoyalrg/2015b3a70382g-dm2", "kernel_id": "3618387"}, {"ref": "priyanshu3112/2015b4a70379g-dm-2", "kernel_id": "3612169"}, {"ref": "manishapatra/dm-2016a7ps0672g", "kernel_id": "3618389"}, {"ref": "f2015b3a70352g/2015b3a70352g-dm2", "kernel_id": "3618547"}, {"ref": "aaddt10/2015b3a70400g-dm2", "kernel_id": "3614433"}, {"ref": "f20150477/2015b3a70477g-dm2", "kernel_id": "3618308"}, {"ref": "f2015b3a70403g/2015b3a70403g-dm2", "kernel_id": "3615574"}, {"ref": "f20150159/2015b3a70159g-dm2", "kernel_id": "3615184"}, {"ref": "f20150626/2015b5a70626-dm2", "kernel_id": "3619214"}, {"ref": "f20150348/2015b3a-0348g-dm2", "kernel_id": "3628487"}, {"ref": "f20150650/2015b2a70650g-dm2", "kernel_id": "3583330"}, {"ref": "f20160042/2016a7ps0042g-dm2", "kernel_id": "3614139"}, {"ref": "rajasaurus/2016a7ps0045g-dm2", "kernel_id": "3614395"}, {"ref": "f20160080/2016a7ps0080g-2", "kernel_id": "3617471"}, {"ref": "sourabhbits/2015a7ts0078g", "kernel_id": "3609379"}, {"ref": "nayana147/kernel3e77c83734", "kernel_id": "3621693"}, {"ref": "mukul0046/kernel20160046-2", "kernel_id": "3617657"}, {"ref": "f20150395/2015b3a70395g-dm2", "kernel_id": "3614268"}, {"ref": "deveshpd18/2015a7ps0102g-a2", "kernel_id": "3620949"}, {"ref": "hsandu/2016a7ps0668g-dm2", "kernel_id": "3618416"}, {"ref": "ishan0407/kernel-2016a7ps0066g", "kernel_id": "3618339"}, {"ref": "hasijaprakhar/2016a7ps0082g-dmassign2", "kernel_id": "3614785"}, {"ref": "dhruvkhetarpal/2016a7ps0021g-dm2", "kernel_id": "3616006"}, {"ref": "dhruvkhetarpal/2016a7ps0021g-dm-2", "kernel_id": "3618418"}, {"ref": "pruthviduvva/2016a7ps0084g-assignment2", "kernel_id": "3615475"}, {"ref": "kunalambardekar/2016a7ps0098g-dm-a2", "kernel_id": "3618784"}, {"ref": "f20150317/2015b4a70317g-2", "kernel_id": "3614170"}, {"ref": "jagsifat/2016a7ps0072g-dm2", "kernel_id": "3618606"}, {"ref": "satyajeetjena/2016a7ps0054g-dm-2", "kernel_id": "3617658"}, {"ref": "sandstorm2/2016a7ps0024g-dmassign2", "kernel_id": "3617008"}, {"ref": "sandstorm2/2016a7ps0024g-dm2", "kernel_id": "3617441"}, {"ref": "f20150030/2015a7ps0030g", "kernel_id": "3618566"}, {"ref": "f20150030/kernelf58ade3c07", "kernel_id": "3611680"}, {"ref": "banner25/kernel3b6fb5a8e9", "kernel_id": "3623497"}, {"ref": "dhruvinrsoni/2015a7ps0047g", "kernel_id": "3617905"}, {"ref": "f20150106/2015a7ps0106g", "kernel_id": "3618196"}]}
{"competition_id": "14112", "kernels": [{"ref": "lampubhutia/predicting-senator-from-house-votes", "kernel_id": "3725137"}]}
{"competition_id": "14117", "kernels": []}
{"competition_id": "14127", "kernels": []}
{"competition_id": "14128", "kernels": []}
{"competition_id": "14136", "kernels": []}
{"competition_id": "14139", "kernels": [{"ref": "hankchen/sample-code", "kernel_id": "3792876"}, {"ref": "hankchen/data-generator-demo", "kernel_id": "3765063"}, {"ref": "jungtingmath/sample", "kernel_id": "3622268"}]}
{"competition_id": "14140", "kernels": []}
{"competition_id": "14144", "kernels": []}
{"competition_id": "14145", "kernels": []}
{"competition_id": "14147", "kernels": []}
{"competition_id": "14151", "kernels": []}
{"competition_id": "14156", "kernels": []}
{"competition_id": "14159", "kernels": []}
{"competition_id": "14169", "kernels": []}
{"competition_id": "14182", "kernels": []}
{"competition_id": "14193", "kernels": []}
{"competition_id": "14195", "kernels": []}
{"competition_id": "14209", "kernels": []}
{"competition_id": "14212", "kernels": []}
{"competition_id": "14214", "kernels": []}
{"competition_id": "14219", "kernels": [{"ref": "markusschmitz/00-preparation", "kernel_id": "3661266"}, {"ref": "markusschmitz/03-worksession", "kernel_id": "3770098"}, {"ref": "markusschmitz/02-aufgaben", "kernel_id": "3756058"}, {"ref": "markusschmitz/01-kick-off", "kernel_id": "3755761"}, {"ref": "markusschmitz/04-aufgaben", "kernel_id": "3809288"}, {"ref": "markusschmitz/05-worksession", "kernel_id": "3840353"}, {"ref": "markusschmitz/06-template-g3", "kernel_id": "3996302"}, {"ref": "markusschmitz/06-template-g4", "kernel_id": "3996305"}, {"ref": "markusschmitz/06-template-g5", "kernel_id": "3996306"}, {"ref": "markusschmitz/06-template-g6", "kernel_id": "3996307"}, {"ref": "markusschmitz/06-template-g7", "kernel_id": "3996308"}, {"ref": "markusschmitz/06-template-g8", "kernel_id": "3996322"}, {"ref": "markusschmitz/06-template-g1", "kernel_id": "3991526"}, {"ref": "markusschmitz/06-template-g2", "kernel_id": "3996292"}]}
{"competition_id": "14233", "kernels": [{"ref": "sefficohen/starter", "kernel_id": "4071782"}]}
{"competition_id": "14237", "kernels": []}
{"competition_id": "14239", "kernels": [{"ref": "abhishek/beating-the-benchmark-neural-network", "kernel_id": "3936595"}, {"ref": "abhishek/neural-network-with-embedding-layer", "kernel_id": "3950871"}, {"ref": "atikur/instagrat-keras-stratifiedkfold", "kernel_id": "3970532"}, {"ref": "atikur/instant-gratification-fastai-starter", "kernel_id": "3940358"}, {"ref": "atikur/instant-gratification-keras-starter", "kernel_id": "3940973"}, {"ref": "siero5335/basic-eda", "kernel_id": "3949568"}, {"ref": "cttsai/instagrat-ftlr-starter", "kernel_id": "3946596"}, {"ref": "cttsai/instagrat-xgboost-gpu-starter", "kernel_id": "3946872"}, {"ref": "lsinev/ig-5fold-catboost-gpu-with-lr-meta", "kernel_id": "3950021"}, {"ref": "lsinev/instant-gratification-catboost-starter", "kernel_id": "3943113"}, {"ref": "tunguz/instant-h2o-automl", "kernel_id": "3941408"}, {"ref": "tunguz/instant-eda", "kernel_id": "3941479"}, {"ref": "allunia/instant-gratification-some-eda-to-go", "kernel_id": "3959956"}, {"ref": "sharaf/my-eda-journey", "kernel_id": "3945101"}, {"ref": "aerdem4/instantgratification-lofo-feature-importance", "kernel_id": "3975778"}, {"ref": "marcocarnini/instant-gratification-fastai-starter", "kernel_id": "3960805"}, {"ref": "marcocarnini/segmenting-and-building-models", "kernel_id": "3985057"}, {"ref": "marcocarnini/experimenting-with-a-feature-and-many-classifiers", "kernel_id": "3997273"}, {"ref": "laevatein/one-more-step-in-interconnection", "kernel_id": "3962939"}, {"ref": "paulorzp/lgb-starter", "kernel_id": "3936383"}, {"ref": "niyipop/eda-kernel", "kernel_id": "3989629"}, {"ref": "robikscube/eda-and-baseline-lgb-for-instant-gratification", "kernel_id": "3936774"}, {"ref": "senkin13/eda-starter", "kernel_id": "3937251"}, {"ref": "artgor/ig-eda-and-models", "kernel_id": "3938574"}, {"ref": "artgor/pytorch-model", "kernel_id": "3939413"}, {"ref": "qiaoshiji/512-knn-with-variance-feature-selection-copy", "kernel_id": "3982945"}, {"ref": "h4211819/adversarial-validation", "kernel_id": "3937875"}, {"ref": "pestipeti/ensemble-a-few-simple-model", "kernel_id": "3981147"}, {"ref": "yohanb/some-interactive-density-plots", "kernel_id": "3965443"}, {"ref": "subhamkapoor360/preprocessing-dataset", "kernel_id": "3980773"}, {"ref": "baomengjiao/5-kflod-lgbm-starter", "kernel_id": "3937474"}, {"ref": "baomengjiao/nn-with-reducelr", "kernel_id": "3937833"}, {"ref": "baomengjiao/5kflod-catboost-using-gpu", "kernel_id": "3937899"}, {"ref": "baomengjiao/trick-one-weird-thing-for-data", "kernel_id": "3938974"}, {"ref": "baomengjiao/nn-with-magic-1024", "kernel_id": "3946485"}, {"ref": "baomengjiao/512-nn", "kernel_id": "3963665"}, {"ref": "baomengjiao/something-interesting-about-magic", "kernel_id": "3960678"}, {"ref": "naivelamb/xgb-starter", "kernel_id": "3936393"}, {"ref": "seshadrikolluri/ig-various-approaches-why-and-how", "kernel_id": "3945426"}, {"ref": "dimitreoliveira/instant-gratification-deep-learning", "kernel_id": "3941917"}, {"ref": "sanikamal/instant-gratification-eda-to-xgb", "kernel_id": "3939098"}, {"ref": "imdevskp/is-there-any-way-to-get-instant-gratification", "kernel_id": "3938092"}, {"ref": "ichabuddaeta/my-attempt-at-instant-gratification", "kernel_id": "3947074"}, {"ref": "rakibilly/fastai-starter-instant-gratification", "kernel_id": "3946717"}, {"ref": "rakibilly/auto-ml-starter-in-r", "kernel_id": "3945962"}, {"ref": "ilhamfp31/eda-column-name", "kernel_id": "3940984"}, {"ref": "dude431/keras-cyclic-lr", "kernel_id": "3940351"}, {"ref": "iavinas/instant-gratification", "kernel_id": "3989198"}, {"ref": "bigironsphere/starter-lightgbm-with-some-fine-tuning", "kernel_id": "3941606"}, {"ref": "naushads/instant-gratification-2019", "kernel_id": "3997658"}, {"ref": "mhviraf/ig-data-augmentation", "kernel_id": "3970517"}, {"ref": "cdeotte/logistic-regression-0-800", "kernel_id": "3947313"}, {"ref": "cdeotte/support-vector-machine-0-925", "kernel_id": "3967470"}, {"ref": "cdeotte/private-lb-probing-0-950", "kernel_id": "3989008"}, {"ref": "hyeonho/lightgbm-starter", "kernel_id": "3953200"}, {"ref": "yukiyoshisato/instant-gratification-eda-by-bokeh-stats", "kernel_id": "3948350"}, {"ref": "astaroth88/kernel95ea11ea0a", "kernel_id": "3947369"}, {"ref": "speedwagon/neural-network-baseline", "kernel_id": "3951536"}, {"ref": "speedwagon/are-magics-interconnected", "kernel_id": "3949726"}, {"ref": "speedwagon/t-sne-visualisation", "kernel_id": "3983912"}, {"ref": "bejeweled/instant-gratification-eda", "kernel_id": "3938880"}, {"ref": "snakayama/lightgbm-using-optuna-optuna-lightgbm", "kernel_id": "3976835"}, {"ref": "wodlfrh/lightgbm-pure-starter", "kernel_id": "3942039"}, {"ref": "bachrr/ig-eda", "kernel_id": "3943688"}, {"ref": "pierpaolo28/instant-visualization", "kernel_id": "3993077"}, {"ref": "jazivxt/cognitive-conditioning", "kernel_id": "3938480"}, {"ref": "shivamsarawagi/instantgratification", "kernel_id": "3952542"}, {"ref": "nvnnghia/svm-knn-0-943", "kernel_id": "3985970"}, {"ref": "sameerdev7/90-using-svm-knn-in-instant-gratification", "kernel_id": "3995941"}, {"ref": "ilu000/instagrat-lgbm-baseline", "kernel_id": "3936864"}, {"ref": "sagau5999/512-knn-10-with-lgb-feature-selection-91-6-lb", "kernel_id": "3982106"}, {"ref": "donariumdebbie/explore-funny-column-names", "kernel_id": "3940031"}, {"ref": "gouzmi/512-lgb", "kernel_id": "3998468"}, {"ref": "luffyluffyluffy/clustering", "kernel_id": "3961870"}, {"ref": "yassertabandeh/ingr09", "kernel_id": "4395800"}, {"ref": "tks0123456789/gl-gm", "kernel_id": "4392432"}, {"ref": "tks0123456789/sc-gm", "kernel_id": "4401715"}, {"ref": "greg67915/faster-make-classification-loop", "kernel_id": "4177487"}, {"ref": "cashfeg/hoxosh-gaussian-mixture-6-clusters", "kernel_id": "4293200"}, {"ref": "cashfeg/gmm-unsupervised-pickle-hoxosh", "kernel_id": "4340531"}, {"ref": "cashfeg/maybe-3-cluster-for-each-hoxosh", "kernel_id": "4223945"}, {"ref": "philippsinger/bagging-ranking-leak", "kernel_id": "4427144"}, {"ref": "tobikaggle/flip-y-lb-0-9697", "kernel_id": "4184885"}, {"ref": "titericz/with-modif-private-0-97584", "kernel_id": "4380654"}, {"ref": "monkeyorman/simple-linear-regression-v1", "kernel_id": "4003915"}, {"ref": "cpmpml/fork-of-cpmp-017-2-stage-mean-precisision-76aa21", "kernel_id": "4420778"}, {"ref": "cpmpml/simple-avg", "kernel_id": "4399207"}, {"ref": "cpmpml/stratified-kfold-leak", "kernel_id": "4473089"}, {"ref": "cpmpml/bagging-ranking-leak", "kernel_id": "4474003"}, {"ref": "broach/exploratory-statistical-analysis", "kernel_id": "4150216"}, {"ref": "broach/silver-medal-r-solution-9742-cv-no-gmm", "kernel_id": "4445253"}, {"ref": "pietromarinelli/15th-private-38th-plublic-solution", "kernel_id": "4388308"}, {"ref": "valteresj/svm-lr-knn-ensemble-result-auc-95-78", "kernel_id": "4001895"}, {"ref": "rsakata/gmm-with-target-perfect-pred-random-shuffle", "kernel_id": "4346286"}, {"ref": "infinite/v2-all-gmm", "kernel_id": "4407517"}, {"ref": "vipito/simple-gmm-0-97599", "kernel_id": "4426259"}, {"ref": "scirpus/iso-tonic-with-lime", "kernel_id": "4271758"}, {"ref": "stocks/rebuilding-full-set-missing-a-seed", "kernel_id": "4537180"}, {"ref": "ggrizzly/model-gmm-v4-even-clusters", "kernel_id": "4396202"}, {"ref": "merkylove/10th-public-8th-private-solution", "kernel_id": "4315239"}, {"ref": "merkylove/best-conserative-unfair-cv-with-rf", "kernel_id": "4311731"}, {"ref": "chechir/mixture", "kernel_id": "4378269"}, {"ref": "ayushthakur/exploring", "kernel_id": "4384409"}, {"ref": "vkat72293/kernel29e1348872", "kernel_id": "4171282"}, {"ref": "sudevschiz/instantly-gratify-me", "kernel_id": "4813446"}, {"ref": "alexsemenov/simple-gmm", "kernel_id": "4410715"}, {"ref": "indranilbhattacharya/bojan-chris-cv", "kernel_id": "4017428"}, {"ref": "tunguz/pca-nusvc-knn", "kernel_id": "4013940"}, {"ref": "tunguz/ig-pca-nusvc-knn-qda-lr-stack", "kernel_id": "4097227"}, {"ref": "yypark/pca-qda-nusvc-svc-mlp1-mlp2", "kernel_id": "4399399"}, {"ref": "ine0429/sample-submission", "kernel_id": "4304517"}, {"ref": "jsdae1/ensemble1", "kernel_id": "4394358"}, {"ref": "ryomiyazaki/semi-supervised-multi-clustered-gmm-with-em", "kernel_id": "4542782"}, {"ref": "ryomiyazaki/semi-supervised-gaussian-mixture-model-with-em", "kernel_id": "4366726"}, {"ref": "ryomiyazaki/bayesian-modeling-by-pymc3", "kernel_id": "4323731"}, {"ref": "jinbao/instant-gratification-jinbao", "kernel_id": "4297119"}, {"ref": "tayorm/pl-lasso-gmm-pca-qda", "kernel_id": "4270029"}, {"ref": "tayorm/auto-ml-tpot-qda-pseudo-labelling", "kernel_id": "4318891"}, {"ref": "sggpls/singlethreaded-instantgratification", "kernel_id": "4394518"}, {"ref": "paulorzp/nusvc-qda-4-lines-0-96", "kernel_id": "4006635"}, {"ref": "paulorzp/nusvc-code-golf-len-313", "kernel_id": "4002142"}, {"ref": "code1110/which-classifier-to-use-in-the-stacking", "kernel_id": "4335154"}, {"ref": "code1110/best-parameter-s-for-qda", "kernel_id": "4286010"}, {"ref": "yizhitao/flip-y-lb-0-9697", "kernel_id": "4170847"}, {"ref": "safavieh/knn-lightgbm", "kernel_id": "4276204"}, {"ref": "rdekou/varying-the-feature-selection-threshold", "kernel_id": "4212841"}, {"ref": "rdekou/pseudo-labelling-with-pca-qda", "kernel_id": "4208612"}, {"ref": "mileta1976/dominance-analysis-instant-gratification", "kernel_id": "4200631"}, {"ref": "robikscube/comparing-vlad-s-public-test-predictions-vs-qda", "kernel_id": "4225370"}, {"ref": "robikscube/a-race-for-instant-gratification", "kernel_id": "4134676"}, {"ref": "robikscube/instantgrat-loading-pretrained-models", "kernel_id": "4164073"}, {"ref": "maruyama/qda-in-r", "kernel_id": "4332967"}, {"ref": "binilg/labelspreading-with-pseudo-labeling", "kernel_id": "4210738"}, {"ref": "binilg/nusvc-svc-knn-lr-8-lines", "kernel_id": "4015132"}, {"ref": "ratnesh88/gratification-using-py", "kernel_id": "4239990"}, {"ref": "jesicajones/instant-gratification-kernel-ankita", "kernel_id": "4143845"}, {"ref": "yeonmin/private-proving", "kernel_id": "4391058"}, {"ref": "neonninja/xgboost-magic", "kernel_id": "4402019"}, {"ref": "mks2192/ig-public-leader-board", "kernel_id": "4176773"}, {"ref": "mks2192/instant-gratification", "kernel_id": "4178871"}, {"ref": "sandeepkumar121995/ensemble-oftop-3-public-kernel", "kernel_id": "4365744"}, {"ref": "juminator/qda-baseline2-nusvc-baseline-qda-nusvc-blends", "kernel_id": "4129881"}, {"ref": "juminator/qda-baseline", "kernel_id": "4129322"}, {"ref": "juminator/instant-but-comprehensive-eda", "kernel_id": "4097171"}, {"ref": "qiaoshiji/asdfghjkl", "kernel_id": "4412100"}, {"ref": "joelstan/my-thought-process-svc", "kernel_id": "4217476"}, {"ref": "pkugoodspeed/knn-finetune-jenny", "kernel_id": "4330899"}, {"ref": "pkugoodspeed/single-svm-model", "kernel_id": "4319755"}, {"ref": "bootiu/ensemble-votingclassifier", "kernel_id": "4139076"}, {"ref": "bootiu/stacking-qda-nusvc-gmm", "kernel_id": "4526270"}, {"ref": "lovedm/yes-fork-it", "kernel_id": "4175402"}, {"ref": "lovedm/private-0-97603-kneighborsregressor", "kernel_id": "4409887"}, {"ref": "lovedm/fliy-label-and-gmm-v0-1-8-97480", "kernel_id": "4386706"}, {"ref": "andrilko/top-score-lb0976-with-qda-and-unsprvsd-g-b-mm", "kernel_id": "4424337"}, {"ref": "mvsfnig/learnmlwithko", "kernel_id": "4005296"}, {"ref": "merckel/label-propagation", "kernel_id": "4284238"}, {"ref": "merckel/bagging-qda", "kernel_id": "4137138"}, {"ref": "aritrase/gratification-kstratifiedfold-pytorchmodel", "kernel_id": "4085149"}, {"ref": "daishu/gmm-3-3-2", "kernel_id": "4389504"}, {"ref": "infinitewing/create-validation-datas-by-make-classification", "kernel_id": "4312875"}, {"ref": "deepaksaharan/quadratic-discriminant-analysis", "kernel_id": "4714728"}, {"ref": "jionie/shrunkcovariance-clusters-1-3-3-3-priviate-0-97576", "kernel_id": "4376622"}, {"ref": "rhodiumbeng/logistic-regression", "kernel_id": "4420322"}, {"ref": "dimitreoliveira/ensembling-and-evaluating-magic-models", "kernel_id": "4026039"}, {"ref": "prashantkikani/ig-pca-nusvc-knn-lr-stack", "kernel_id": "4039815"}, {"ref": "fisherra/lucky-qda", "kernel_id": "4401837"}, {"ref": "fisherra/kernelfbd57b4138", "kernel_id": "4381340"}, {"ref": "ateplyuk/starter", "kernel_id": "4274634"}, {"ref": "waylongo/5th-solution", "kernel_id": "4396481"}, {"ref": "visakh36/instant-gratification-experiments", "kernel_id": "4837159"}, {"ref": "ilhamfp31/flip-y-pseudo-labelling-with-pca-qda", "kernel_id": "4244813"}, {"ref": "christofhenkel/graphicallasso-gaussianmixture", "kernel_id": "4221700"}, {"ref": "christofhenkel/lets-implement-qda-by-ourself", "kernel_id": "4199247"}, {"ref": "funxexcel/instant-with-logistic-regression", "kernel_id": "4630154"}, {"ref": "plasticgrammer/instant-gratification-playground", "kernel_id": "4039320"}, {"ref": "graf10a/tuning-512-separate-qda-models", "kernel_id": "4090518"}, {"ref": "graf10a/single-qda-lb-0-96610-time-1-min", "kernel_id": "4086748"}, {"ref": "graf10a/ig-tuning-1", "kernel_id": "4340698"}, {"ref": "graf10a/the-right-number-of-clusters-per-class", "kernel_id": "4377040"}, {"ref": "graf10a/gmm-2-clusters-per-class", "kernel_id": "4418009"}, {"ref": "hashizu/useless-columns", "kernel_id": "4069883"}, {"ref": "raghaw/my-gratification-v2-10th-place-on-public-lb", "kernel_id": "4268385"}, {"ref": "raghaw/flip-y", "kernel_id": "4176713"}, {"ref": "jeetranjeet619/discriminant-analysis-in-r", "kernel_id": "4364656"}, {"ref": "pikamonique/my-first-gratification", "kernel_id": "4214379"}, {"ref": "tenffe/try-to-go-up", "kernel_id": "4326636"}, {"ref": "ozansabirlioglu/14-06-2019-v3", "kernel_id": "4311365"}, {"ref": "lokeshstat/simple-lightgbm", "kernel_id": "4057692"}, {"ref": "lokeshstat/simple-logistic-regression", "kernel_id": "4058057"}, {"ref": "shubham505/qda-gm-for-best-accuracy-private-scrore-0-97613", "kernel_id": "4424246"}, {"ref": "shubham505/flip-y-pseudo-labelling-with-pca-qda", "kernel_id": "4268684"}, {"ref": "shubham505/pca-knn-lr", "kernel_id": "4053295"}, {"ref": "delai50/instant-gratification-0-50002", "kernel_id": "4196190"}, {"ref": "mhviraf/synthetic-data-for-next-instant-gratification", "kernel_id": "4062604"}, {"ref": "mhviraf/there-is-predictive-power-in-the-useless-columns-2", "kernel_id": "4051425"}, {"ref": "mhviraf/there-is-predictive-power-in-the-useless-columns", "kernel_id": "4007637"}, {"ref": "mhviraf/example-of-how-to-avoid-your-kernel-running-twice", "kernel_id": "4193542"}, {"ref": "mhviraf/why-removing-outliers-should-work", "kernel_id": "4283599"}, {"ref": "mhviraf/mhviraf-s-best-submission-in-instant-gratification", "kernel_id": "4414389"}, {"ref": "mhviraf/instant-gratification-lb-score-0-974", "kernel_id": "4398242"}, {"ref": "kainsama/gmm-v0-2-6", "kernel_id": "4376897"}, {"ref": "vaibhavmathur96/instant-gratification-playground", "kernel_id": "4308791"}, {"ref": "chocozzz/hyun-stacking", "kernel_id": "4347277"}, {"ref": "basu369victor/lets-solve-instant-gratification-with-knn", "kernel_id": "4233448"}, {"ref": "nroman/i-m-overfitting-and-i-know-it", "kernel_id": "4142289"}, {"ref": "nroman/why-we-can-t-reach-auc-1-0", "kernel_id": "4129469"}, {"ref": "nroman/augmentation-explained", "kernel_id": "4170929"}, {"ref": "kongliangyu/public-first-place-and-private-60-place", "kernel_id": "4358848"}, {"ref": "liu123/i-think-there-is-not-overfitting-fork-from-roman", "kernel_id": "4153186"}, {"ref": "cdeotte/pseudo-labeling-qda-0-969", "kernel_id": "4152077"}, {"ref": "cdeotte/3-clusters-per-class-0-975", "kernel_id": "4350568"}, {"ref": "hyeonho/pca-nusvc-0-95985", "kernel_id": "4034501"}, {"ref": "hyeonho/32th-solution-public-0-97513-private-0-97565", "kernel_id": "4422448"}, {"ref": "yutafm/ig-lm-1", "kernel_id": "4332270"}, {"ref": "rinnqd/kmeans-4-clusters-per-label-gmm-33th-lb-9756", "kernel_id": "4415664"}, {"ref": "harangdev/instant-gratification-14th-solution", "kernel_id": "4411335"}, {"ref": "harangdev/possible-shakeups", "kernel_id": "4204257"}, {"ref": "dashnabanita/instant-gratification-randomforest", "kernel_id": "4131221"}, {"ref": "taksants/few-cluster-per-class-0-975", "kernel_id": "4426478"}, {"ref": "taigokuriyama/instant-gratification-several-models-ensembling", "kernel_id": "4318921"}, {"ref": "taigokuriyama/instant-gratification-logistic-regression", "kernel_id": "4143704"}, {"ref": "aruchomu/instant-gratification-118th-place-top-7-bronze", "kernel_id": "4570224"}, {"ref": "speedwagon/quadratic-discriminant-analysis", "kernel_id": "4080108"}, {"ref": "bejeweled/plsregression-instant-gratification", "kernel_id": "4327192"}, {"ref": "laymanbrother/qda-nusvc-ensamble", "kernel_id": "4116852"}, {"ref": "rohandeysarkar/instant-gratification-qda", "kernel_id": "4324396"}, {"ref": "kaedekato/neural-network-baseline-updated", "kernel_id": "4342951"}, {"ref": "nikhileshp12/using-lr-for-instant-gratification", "kernel_id": "4322699"}, {"ref": "nikhileshp12/gratification-through-discrimination", "kernel_id": "4311508"}, {"ref": "tourist55/fastai-tabular", "kernel_id": "4297568"}, {"ref": "wangcongying/kernel5cadcfa1cf", "kernel_id": "4172420"}, {"ref": "onslaught/pca-qda-nusvc-knn-0-96774", "kernel_id": "4091614"}, {"ref": "felipefonte99/ensemble", "kernel_id": "4397102"}, {"ref": "gstvolvr/instant-gratification-knn", "kernel_id": "4119956"}, {"ref": "gstvolvr/instant-gratification-focus-on-the-stragglers", "kernel_id": "4138707"}, {"ref": "gstvolvr/instant-gratification-eda", "kernel_id": "4090539"}, {"ref": "zaharch/instant-success-gmm-3th-place", "kernel_id": "4420205"}, {"ref": "zaharch/instant-success-gmm", "kernel_id": "4275635"}, {"ref": "asvskartheek/qda-beginner-s-attempt", "kernel_id": "4389017"}, {"ref": "rdewes/instant-gratification", "kernel_id": "4091370"}, {"ref": "jazivxt/tune-in-tune-out", "kernel_id": "4036916"}, {"ref": "jazivxt/pca-nusvc-2", "kernel_id": "4037098"}, {"ref": "jazivxt/code-golf-cognitive-illusion-ruler-check", "kernel_id": "4007753"}, {"ref": "jazivxt/bojan-chris-cv-2", "kernel_id": "4025589"}, {"ref": "fchmiel/low-variance-features-useless", "kernel_id": "4034710"}, {"ref": "hhiraguchi/scipy-multivariate-normal-pdf", "kernel_id": "4407454"}, {"ref": "bloodybananas/knn-qda", "kernel_id": "4181923"}, {"ref": "divbou/instant-gratification", "kernel_id": "4358772"}, {"ref": "quluyev/dunya", "kernel_id": "4043350"}, {"ref": "quluyev/instant-gratification-1", "kernel_id": "4029254"}, {"ref": "quluyev/qarabagli", "kernel_id": "4025627"}, {"ref": "quluyev/agdam-02", "kernel_id": "4023481"}, {"ref": "quluyev/qarabag", "kernel_id": "4013816"}, {"ref": "siavrez/selecting-best-clusters-no-0-97618", "kernel_id": "4417342"}, {"ref": "kvdatadragon/ordered-code-pca-log-knn-qda", "kernel_id": "4057711"}, {"ref": "jazmad/which-columns-are-important", "kernel_id": "4016893"}, {"ref": "isaacimagine/randomly-generated-parallel-model", "kernel_id": "4063784"}, {"ref": "kellehermhc/plain-old-pandas-and-numpy", "kernel_id": "4230818"}, {"ref": "tavoglc/instant-gratification-kl-divergence", "kernel_id": "4358141"}, {"ref": "tavoglc/instant-divergence", "kernel_id": "4405178"}, {"ref": "yoshiyukiohiwa/honmei-c3-rseed-max-nsplit11", "kernel_id": "4415711"}, {"ref": "matsumotoshintaro/simple-model-for-beginner", "kernel_id": "4219161"}, {"ref": "scaomath/insta-knn-numpy-from-scratch", "kernel_id": "4205310"}, {"ref": "gouzmi/pca-knn-svm-lgb-lr-mlp", "kernel_id": "4041854"}, {"ref": "sairakun/visualize-compare-nusvc-svc-qda-knn", "kernel_id": "4126024"}, {"ref": "arunkumishra/simple-lr-split-on-magic-2", "kernel_id": "4409179"}, {"ref": "billumillu/instant-gratification-practice-update-1", "kernel_id": "4680331"}, {"ref": "umemiyaumeume/k-means", "kernel_id": "4142798"}, {"ref": "qy2205/pca-variance-qda-knn-4-stacking", "kernel_id": "4304570"}, {"ref": "gaborotta/simple-logistic-regression", "kernel_id": "4348276"}, {"ref": "wanliyu/how-to-make-stacking-work-with-pseudo-labeling", "kernel_id": "4422563"}, {"ref": "ma7555/svm-radial-basis-function", "kernel_id": "4311308"}, {"ref": "vrooom/graphicallasso-gaussianmixture", "kernel_id": "4239340"}, {"ref": "meistermorxrc/0-97598-in-private-score", "kernel_id": "4406447"}, {"ref": "suuuuuu/qda-with-ls-feature", "kernel_id": "4323861"}, {"ref": "suuuuuu/flip-y-pl-qda-with-ls-feat", "kernel_id": "4339579"}, {"ref": "suuuuuu/gl-gmm-with-ls-feat", "kernel_id": "4341160"}, {"ref": "gogo827jz/pseudo-labelled-polylr-and-qda", "kernel_id": "4121252"}, {"ref": "gogo827jz/pseudo-labelling-4-models-stacked-with-lgbm", "kernel_id": "4197718"}, {"ref": "jade95/pl-lasso-gmm-pca-qda-aaa", "kernel_id": "4362670"}, {"ref": "bhavikbb/instant-gratification", "kernel_id": "4066850"}, {"ref": "avenkidur/nusvc-svc-knn-7-lines", "kernel_id": "4017403"}, {"ref": "avenkidur/code-golf-cognitive-illusion-ruler-check", "kernel_id": "4017078"}, {"ref": "avenkidur/exploratory-data-analysis-for-instantgratification", "kernel_id": "4285161"}, {"ref": "avenkidur/eda-going-further-with-wasserstein-distance", "kernel_id": "4288971"}, {"ref": "avenkidur/easy-notebook", "kernel_id": "4359013"}, {"ref": "triplelift/single-nn-score-0-94179", "kernel_id": "4042976"}, {"ref": "triplelift/make-classification-source-code", "kernel_id": "4119601"}, {"ref": "prysie/kerneldf3b6ac69f", "kernel_id": "4428670"}, {"ref": "bleach31/kernel8effbf0a64", "kernel_id": "4622999"}, {"ref": "a70070947/instant-gratification-script", "kernel_id": "4685939"}, {"ref": "cleston/instant-gratification-1", "kernel_id": "5836356"}, {"ref": "cleston/instant-gratification-3", "kernel_id": "5908640"}, {"ref": "yogeshkawadkar/seaborn-part1", "kernel_id": "5219385"}, {"ref": "jagannathrk/instant-gratification-analysis", "kernel_id": "6925372"}, {"ref": "cleston/instant-gratification-2", "kernel_id": "6000823"}, {"ref": "rutviklathiya/logistic-regression-0-800", "kernel_id": "6404727"}, {"ref": "mamo123/instant-gratification", "kernel_id": "7497589"}, {"ref": "darwinwin/instant-h2o-automl", "kernel_id": "8130803"}, {"ref": "yeonmin/solution", "kernel_id": "9296379"}, {"ref": "harryliuhanyao/kernel-pca-and-cluster", "kernel_id": "10122910"}, {"ref": "josephkibira/support-vector-machine-0-925", "kernel_id": "11010250"}, {"ref": "tunguz/instant-gratification-with-rapids", "kernel_id": "12851258"}, {"ref": "karanchhabra99/instant-gratification-competition", "kernel_id": "13842519"}, {"ref": "pavan1512/instant-gratification", "kernel_id": "13359183"}, {"ref": "ruslanlyulka/notebook367f9a7831", "kernel_id": "17254221"}, {"ref": "deniskuschevoy/notebook42cc5b2265", "kernel_id": "17272528"}, {"ref": "sindhuriaks/submission-csv", "kernel_id": "19082831"}, {"ref": "rohanpatnaik/instant-gratification-playground", "kernel_id": "20424110"}, {"ref": "lilsummer877/regression-diag", "kernel_id": "21653444"}, {"ref": "kalelpark/pseudo-labeling-for-korean", "kernel_id": "29977990"}, {"ref": "greenery4yan/instantgratification-varthreshold-qda-pseudolabel", "kernel_id": "32722206"}, {"ref": "sabahesaraki/instant-gratification", "kernel_id": "35658534"}, {"ref": "halilbrahimblge/notebook0c4bb536be", "kernel_id": "37245466"}, {"ref": "dbtmddn41/instant-gratification", "kernel_id": "42081482"}, {"ref": "beomsulee/instant-gratification-with-stacking", "kernel_id": "43495365"}, {"ref": "nina19000/semi-supervised-gaussian-mixture-model-with-em", "kernel_id": "47629651"}, {"ref": "darrylyunussulistyan/instant-gratification-voting-svc-qda", "kernel_id": "75694119"}, {"ref": "eskella/ig-gmm-lgbm-nn-v1", "kernel_id": "104101782"}]}
{"competition_id": "14240", "kernels": []}
{"competition_id": "14241", "kernels": [{"ref": "titericz/building-and-visualizing-masks", "kernel_id": "4992641"}, {"ref": "titericz/mask-average-benchmark-dice-metric", "kernel_id": "4993040"}, {"ref": "tunguz/sample-submission-benchmark", "kernel_id": "4992306"}, {"ref": "paulorzp/1-liner-benchmark-lb-0-85674", "kernel_id": "4994591"}, {"ref": "bencopeland/visualizing-differences-in-class-masks", "kernel_id": "4993355"}, {"ref": "tanlikesmath/severstal-basic-eda-converting-to-classification", "kernel_id": "4993392"}, {"ref": "rupeshs/basic-eda-submission", "kernel_id": "4995589"}, {"ref": "hamditarek/basic-eda-submission", "kernel_id": "4999731"}, {"ref": "bejeweled/severstal-superfast-eda", "kernel_id": "4993098"}, {"ref": "schwobr/severstal", "kernel_id": "4997661"}, {"ref": "vaishvik25/3-line-for-lb-0-85674", "kernel_id": "4997726"}, {"ref": "alekseynp/convert-pretrained-pytorch-rgb-to-single-channel", "kernel_id": "5132800"}, {"ref": "nikhilikhar/pytorch-u-net-steel-1-submission", "kernel_id": "5244400"}, {"ref": "nikhilikhar/steel-create-labels", "kernel_id": "5250443"}, {"ref": "nikhilikhar/fastai-steel-unet", "kernel_id": "5252314"}, {"ref": "nikhilikhar/u-net-baseline-by-pytorch-steel", "kernel_id": "5162213"}, {"ref": "nikhilikhar/rle-to-mask-to-rle", "kernel_id": "5168201"}, {"ref": "nikhilikhar/fastai-steel-unet-1-submission", "kernel_id": "5411436"}, {"ref": "kmader/jigsaw-pretraining-for-steel", "kernel_id": "5523434"}, {"ref": "kmader/qbi-illumination-correction", "kernel_id": "5205665"}, {"ref": "hengck23/efficientb0-unet-plus-v4-1", "kernel_id": "5628511"}, {"ref": "yassinealouini/learning-fastai-part-i", "kernel_id": "5720862"}, {"ref": "anantgupta/crackitup", "kernel_id": "5709389"}, {"ref": "anantgupta/predictallregions", "kernel_id": "5830252"}, {"ref": "srwalker101/mask-rcnn-model", "kernel_id": "5592782"}, {"ref": "bguberfain/naive-keras-starter", "kernel_id": "5003778"}, {"ref": "grafael/simple-mask", "kernel_id": "5070614"}, {"ref": "kenmatsu4/visualize-steel-defect", "kernel_id": "5567652"}, {"ref": "goelpravin/steeldefectfinder", "kernel_id": "5627111"}, {"ref": "dukhovnik/segmentation-models-pytorch-fpn-unet-inference", "kernel_id": "5849361"}, {"ref": "jiageng/mxnet-gluon-baseline", "kernel_id": "5837123"}, {"ref": "jiageng/mxnet-gluon-inference", "kernel_id": "5840246"}, {"ref": "ekhtiar/resunet-a-baseline-on-tensorflow", "kernel_id": "5043300"}, {"ref": "ekhtiar/defect-area-segments-eda-with-plotly-fp-mining", "kernel_id": "5159978"}, {"ref": "mayurkulkarni/fastai-simple-model-0-88-lb", "kernel_id": "5150736"}, {"ref": "laleh83/data-exploration-and-visualization", "kernel_id": "5614481"}, {"ref": "naresh31/severstal-steel-defect-detection-keras", "kernel_id": "5827499"}, {"ref": "naresh31/keras-starter-segmentation-submission", "kernel_id": "5839622"}, {"ref": "naresh31/severstal-steel-defect-detection", "kernel_id": "5744219"}, {"ref": "naresh31/xception-beseline-model-in-keras", "kernel_id": "5929465"}, {"ref": "paulorzp/eda-and-opencv-starter", "kernel_id": "5002527"}, {"ref": "paulorzp/rle-functions-run-lenght-encode-decode", "kernel_id": "5008152"}, {"ref": "wrosinski/torchvision-mrcnn-starter", "kernel_id": "5767261"}, {"ref": "wrosinski/torchvision-mrcnn-coco-style-evaluation", "kernel_id": "5904445"}, {"ref": "c14103/keras-starter-u-net-hypercolumn", "kernel_id": "5895089"}, {"ref": "c14103/keras-starter-u-net-with-pretrained", "kernel_id": "5613736"}, {"ref": "lightforever/severstal-mlcomp-catalyst-train-0-90672-offline", "kernel_id": "5308705"}, {"ref": "lightforever/severstal-mlcomp-catalyst-infer-0-90672", "kernel_id": "5983778"}, {"ref": "sangxia/image-brightness-per-row", "kernel_id": "5270985"}, {"ref": "tanlikesmath/severstal-fastai-starter", "kernel_id": "5019857"}, {"ref": "vojavocni/severstal-fastai-unet-baseline", "kernel_id": "5281543"}, {"ref": "rishabhiitbhu/unet-pytorch-inference-kernel", "kernel_id": "5219663"}, {"ref": "rishabhiitbhu/unet-starter-kernel-pytorch-lb-0-88", "kernel_id": "5208829"}, {"ref": "hryniewicz/kernel4323e88341", "kernel_id": "5742865"}, {"ref": "hryniewicz/steel-defect-visualization", "kernel_id": "5715952"}, {"ref": "ksooklall/severstal-steel-batching-inputs-256x256", "kernel_id": "5028898"}, {"ref": "tianhaoz95/will-this-work-question-mark", "kernel_id": "5071519"}, {"ref": "wh1tezzz/correct-dice-metrics-for-this-competition", "kernel_id": "5507064"}, {"ref": "amniskin/eda-basics", "kernel_id": "5646895"}, {"ref": "hotvar/res-unet-approach", "kernel_id": "5346923"}, {"ref": "yoshitaka1105/base-line-public-kernel-eda-keras", "kernel_id": "5020584"}, {"ref": "anubhav1302/steel-masking-unet", "kernel_id": "5550835"}, {"ref": "anubhav1302/steel-defect-masking-densenet", "kernel_id": "5651066"}, {"ref": "awater1223/unet-baseline-keras", "kernel_id": "5294955"}, {"ref": "asimandia/unet-pytorch-inference-kernel-radam", "kernel_id": "5315229"}, {"ref": "asimandia/unet-radam-kernel-pytorch-lb-0-88", "kernel_id": "5315236"}, {"ref": "daisukelab/detector-steels-with-texture-for-sure-by-fast-ai", "kernel_id": "5860622"}, {"ref": "orkatz2/keras-efficientnetb2-unet-tta-lb-0-88", "kernel_id": "5313498"}, {"ref": "sorzhe/severstal-focal-tversky-unet", "kernel_id": "5600506"}, {"ref": "sumanthmeenan/keras-unet-segmentation", "kernel_id": "5431974"}, {"ref": "elysii/severstal-detecting-black-borders", "kernel_id": "5731309"}, {"ref": "ashukr/help-needed", "kernel_id": "5329879"}, {"ref": "bharatsingh213/everytingisdata", "kernel_id": "5676102"}, {"ref": "mullerismail/steel-defect-understand-plot-with-r-novice", "kernel_id": "5950604"}, {"ref": "seriousran/xception-beseline-model-for-starter-in-keras", "kernel_id": "5009961"}, {"ref": "iafoss/severstal-fast-ai-256x256-crops-sub", "kernel_id": "5020822"}, {"ref": "iafoss/severstal-fast-ai-256x256-crops", "kernel_id": "5004164"}, {"ref": "iafoss/256x256-images-with-defects", "kernel_id": "5007396"}, {"ref": "ateplyuk/black-areas-eda-v2", "kernel_id": "5564673"}, {"ref": "ateplyuk/keras-starter-u-net", "kernel_id": "5012287"}, {"ref": "ateplyuk/keras-starter-segmentation", "kernel_id": "5008261"}, {"ref": "ateplyuk/pytorch-starter-u-net-resnet", "kernel_id": "5018380"}, {"ref": "ateplyuk/detector-steels-with-texture", "kernel_id": "5170943"}, {"ref": "josutk/textures-in-steel-surface", "kernel_id": "5594997"}, {"ref": "raghaw/install-offline-segmentation-models-pytorch-0-0-3", "kernel_id": "5933262"}, {"ref": "raghaw/install-segmentation-model-offline-in-infer-kernel", "kernel_id": "5767323"}, {"ref": "calintimbus/seversteel-defect-data-analysis-for-beginners", "kernel_id": "5383386"}, {"ref": "calintimbus/xception-beseline-model-for-starter-in-keras", "kernel_id": "5142180"}, {"ref": "ezcyber/extract-and-visualize-defects-only", "kernel_id": "5593966"}, {"ref": "bibek777/try-hrnet-semantic-segmentation", "kernel_id": "5692990"}, {"ref": "bibek777/heng-s-model-inference-kernel", "kernel_id": "5781378"}, {"ref": "aleksandradeis/steel-defect-detection-eda", "kernel_id": "5923791"}, {"ref": "saphirox/severstal-simple-2-step-pipeline", "kernel_id": "5206455"}, {"ref": "barnwellguy/inference-kernel-producing-a-successful-submission", "kernel_id": "5755467"}, {"ref": "saffetgokcensen/severstal-truncated-vgg16-encoder-unet", "kernel_id": "5790300"}, {"ref": "saffetgokcensen/severstal-steel-defect-binary-classification", "kernel_id": "5721648"}, {"ref": "bigironsphere/boost-your-score-with-pixel-counts-0-886-0-888", "kernel_id": "5816380"}, {"ref": "bigironsphere/loss-function-library-keras-pytorch", "kernel_id": "5718742"}, {"ref": "zirivis/visualizing-lbp-hog-features", "kernel_id": "5069067"}, {"ref": "kosdan/kernel757677003b", "kernel_id": "5412544"}, {"ref": "hirune924/nvidia-dali-the-fastest-data-loading", "kernel_id": "5874872"}, {"ref": "mtethan/steel-defect-detection-tl", "kernel_id": "5199324"}, {"ref": "harendrap/fastai-starter-unet", "kernel_id": "5486217"}, {"ref": "monikasingh123/kernel3059ef0f18", "kernel_id": "5872106"}, {"ref": "kuldeepdhadhwal/severstal-steel", "kernel_id": "5237497"}, {"ref": "watanabe2362/trainandtest", "kernel_id": "5781557"}, {"ref": "cdeotte/steel-adversarial-validation", "kernel_id": "5180734"}, {"ref": "cdeotte/keras-unet-with-eda", "kernel_id": "5214307"}, {"ref": "omershect/exploratory-data-analyzes", "kernel_id": "5740342"}, {"ref": "phunghieu/steel-defect-detection-multi-label-u-net", "kernel_id": "5643230"}, {"ref": "phunghieu/steel-defect-detection-multi-class-u-net", "kernel_id": "5666342"}, {"ref": "vovaekb90/xception-baseline-for-severstal-transfer-learning", "kernel_id": "5809998"}, {"ref": "samithahennayake/kernel2f84709411", "kernel_id": "5736623"}, {"ref": "lkuen89/inspect-images", "kernel_id": "5694174"}, {"ref": "lkuen89/steel-adversarial-validation-256-crops", "kernel_id": "5691982"}, {"ref": "go1dfish/clear-mask-visualization-and-simple-eda", "kernel_id": "5000247"}, {"ref": "bigkizd/se-resnext50-89", "kernel_id": "5520072"}, {"ref": "emattia/kernel56eb1e5810", "kernel_id": "5699188"}, {"ref": "robinteuwens/mask-rcnn-detailed-starter-code", "kernel_id": "5298926"}, {"ref": "jaideepvalani/save-jpg", "kernel_id": "5158832"}, {"ref": "mobassir/severstal-nested-unet-pytorch", "kernel_id": "5962783"}, {"ref": "santosh16k/steel-defect-detection", "kernel_id": "5970275"}, {"ref": "nguyenvantui/kernel6780cba117", "kernel_id": "5624329"}, {"ref": "harshavardhanbabu/trainunet", "kernel_id": "5162239"}, {"ref": "harshavardhanbabu/maskgenerator", "kernel_id": "5214615"}, {"ref": "tasnimfatima/steel-defect-eda", "kernel_id": "5858495"}, {"ref": "phoenix9032/fastai-progressive-resizing-resnet50-step-1", "kernel_id": "5005380"}, {"ref": "underfaywu/unet-starter-kernel-pytorch-lb-0-88", "kernel_id": "5877157"}, {"ref": "michaelliqx/severstal-baseline", "kernel_id": "5524756"}, {"ref": "gefanzhang/firstsub", "kernel_id": "5934303"}, {"ref": "gefanzhang/steelcls1", "kernel_id": "5879875"}, {"ref": "xhlulu/severstal-predict-missing-masks", "kernel_id": "5005814"}, {"ref": "xhlulu/severstal-simple-keras-u-net-boilerplate", "kernel_id": "5019289"}, {"ref": "xhlulu/severstal-simple-2-step-pipeline", "kernel_id": "5048529"}, {"ref": "xhlulu/severstal-efficient-u-net-inference", "kernel_id": "5255751"}, {"ref": "xhlulu/severstal-u-net-with-efficientnetb4", "kernel_id": "5199744"}, {"ref": "jazivxt/ballistic-report", "kernel_id": "5022545"}, {"ref": "nevermorefhq/severstal-simple-2-step-pipeline", "kernel_id": "5119521"}, {"ref": "duykhanh99/visualizing-mask-eda-unet-baseline", "kernel_id": "5078602"}, {"ref": "spetra/kernelec114a5ddb", "kernel_id": "5149791"}, {"ref": "joaorobson/dumb-predictions-notebook", "kernel_id": "5708530"}, {"ref": "joaorobson/u-net-notebook", "kernel_id": "5573776"}, {"ref": "siavrez/glcm-features-for-identifying-steel-defect-type", "kernel_id": "5029034"}, {"ref": "huynhtrungnghia/fast-scnn", "kernel_id": "5826697"}, {"ref": "avirald/clear-mask-visualization-and-simple-eda", "kernel_id": "5552990"}, {"ref": "fangxiang00/keras-u-net-pre-post-processing", "kernel_id": "5754304"}, {"ref": "virajbagal/severstal-predicting-missing-masks-efficientnetb3", "kernel_id": "5748629"}, {"ref": "virajbagal/severstal-unet-resnet18-in-keras", "kernel_id": "5776820"}, {"ref": "wafadje/detecting-steel-defects", "kernel_id": "5228680"}, {"ref": "shaygu/submission-error", "kernel_id": "5731059"}, {"ref": "ssyangguang/yangguang", "kernel_id": "5333558"}, {"ref": "lalithmovva/kernel6d7a88e911", "kernel_id": "5777333"}, {"ref": "vbogach/calculated-avg-mean-and-std-over-images", "kernel_id": "5017219"}, {"ref": "mannychm/unet-v1-no-data-augmentation-no-regularization", "kernel_id": "5299335"}, {"ref": "mannychm/unet-v2-data-augmentation-no-regulari", "kernel_id": "5472405"}, {"ref": "mannychm/sss-v2-model-training-data-augmentation-no-reg", "kernel_id": "5444503"}, {"ref": "mannychm/steel-semantic-segmentation-model-creation", "kernel_id": "5258244"}, {"ref": "mannychm/steel-defect-segmentation-model-creation", "kernel_id": "5605421"}, {"ref": "sanjusci/eda-steel", "kernel_id": "5012673"}, {"ref": "sanjusci/eda-steel-defect-detection", "kernel_id": "5038575"}, {"ref": "sanjusci/severstal-simple-2-step", "kernel_id": "5088834"}, {"ref": "shamaunalam/steel-defects-data-exploration", "kernel_id": "5969971"}, {"ref": "abhishek24021996/visualising-masks-copied", "kernel_id": "5852925"}, {"ref": "amanooo/defect-detection-starter-u-net", "kernel_id": "5057910"}, {"ref": "genvsdis/heng-s-model", "kernel_id": "5925156"}, {"ref": "arikmitra/steel-defects-exploration", "kernel_id": "5204131"}, {"ref": "traptrip/defect-detection-starter-u-net", "kernel_id": "5392648"}, {"ref": "jagamts1/eda-for-seversteal-datasets", "kernel_id": "5526254"}, {"ref": "haixingfengzi/unet-pytorch-inference-kernel", "kernel_id": "5626225"}, {"ref": "tovvelie/severstal-transfer-learning", "kernel_id": "5292327"}, {"ref": "jade95/try-k-means-dbscan", "kernel_id": "5802964"}, {"ref": "jade95/fork-of-try-word2vec-by-user-id", "kernel_id": "5861351"}, {"ref": "md5520/kernel48f4ee46b7", "kernel_id": "5836384"}, {"ref": "gontcharovd/r-data-table-imager-defect-plotting", "kernel_id": "5415716"}, {"ref": "gontcharovd/unet-pytorch-inference-kernel-extended-0-89648", "kernel_id": "5897449"}, {"ref": "sonsuki/model-test01", "kernel_id": "5737248"}, {"ref": "amilaha/identify-defect-type-and-area-amila-haputhanthri", "kernel_id": "5715855"}, {"ref": "quandapro/severstal-unet-inference", "kernel_id": "5815597"}, {"ref": "sharkfin/kernel3235c58815", "kernel_id": "5731536"}, {"ref": "joey5959/fork-of-severstal-simple-keras-m-net", "kernel_id": "5828874"}, {"ref": "anirudhreddy311296/visualization-defective-marking", "kernel_id": "5034166"}, {"ref": "wanko5452/severs", "kernel_id": "5682288"}, {"ref": "jackdeng666/kernel1d52a5a868", "kernel_id": "5655749"}, {"ref": "siddhary87/data-understanding-and-visualisation", "kernel_id": "5381398"}, {"ref": "siddhary87/custom-layers-post-pre-process", "kernel_id": "5824195"}, {"ref": "moorthysiva/kernel-steeldefectdetect", "kernel_id": "5742837"}, {"ref": "pvjagadeesh/severstal-resnet-segmentation-models-unet", "kernel_id": "5391583"}, {"ref": "jian1201/severstal-efficient-u-net-inference", "kernel_id": "5364900"}, {"ref": "evgenyshtepin/severstal-fast-ai-256x256-crops-sub-0-89318", "kernel_id": "5647745"}, {"ref": "xiejialun/seunet-with-comboloss-swish", "kernel_id": "5764137"}, {"ref": "xiejialun/keras-u-net-pre-post-processing", "kernel_id": "5508655"}, {"ref": "moctader/kernel29798b524c", "kernel_id": "5969778"}, {"ref": "moctader/kernel2d50975726", "kernel_id": "5954422"}, {"ref": "gracic/resunet-a-baseline-on-tensorflow", "kernel_id": "5689764"}, {"ref": "spicychiken/pytorch-defective-classifier", "kernel_id": "5684015"}, {"ref": "araj890105/mammogram", "kernel_id": "5769003"}, {"ref": "araj890105/sec-kernel-heng", "kernel_id": "5905940"}, {"ref": "lokkrish1/kernel281465c7d8", "kernel_id": "5817818"}, {"ref": "applefish/get-bboxes-from-segmentation-labels", "kernel_id": "5813447"}, {"ref": "hengck23/fork-of-efficientb5-mish-256x400crop-05", "kernel_id": "6380515"}, {"ref": "hengck23/efficientb5-mish-256x400crop-05", "kernel_id": "6340099"}, {"ref": "thomasseleck/final-submission-script", "kernel_id": "6359135"}, {"ref": "abimannan/steel-detection", "kernel_id": "6227335"}, {"ref": "dong5274462/pytorch-u-net-steel-1-submission", "kernel_id": "6035486"}, {"ref": "bearstrikesback/how-error-is-distributed", "kernel_id": "6234698"}, {"ref": "nulldata/duplicate-imagedetection-with-cnn-using-imagededup", "kernel_id": "6084698"}, {"ref": "jiageng/mxnet-gluon-classification", "kernel_id": "6213657"}, {"ref": "jiageng/segmentation-cls", "kernel_id": "6245130"}, {"ref": "jiageng/mxnet-gluon-classification-inference", "kernel_id": "6243303"}, {"ref": "shiron8bit/silver-frankenstein", "kernel_id": "6400644"}, {"ref": "vivekwisdom/severstal-mlcomp-catalyst-0-90726-observations", "kernel_id": "6176088"}, {"ref": "laleh83/fastai-image-segmentation-solution-part-1", "kernel_id": "6190851"}, {"ref": "naresh31/severstal-using-fast-ai", "kernel_id": "6215484"}, {"ref": "ripcurl/severstal-unet-with-efficientnetb4-keras", "kernel_id": "6223162"}, {"ref": "wrosinski/mrcnn-torchvision-extended", "kernel_id": "6014332"}, {"ref": "chesnokov/mlcomp-catalyst-infer-post-proc-fix-0-887-0-888", "kernel_id": "6386360"}, {"ref": "shreeshiv/deep-learning-assignment", "kernel_id": "6618092"}, {"ref": "robinreni/heng-s-pytorch-resnet34-classifier-training", "kernel_id": "6307923"}, {"ref": "robinreni/pytorch-segnet-deeplabv3-training", "kernel_id": "6322586"}, {"ref": "jagannathrk/steel-defect-detection", "kernel_id": "6247826"}, {"ref": "govind555/final-net", "kernel_id": "6079844"}, {"ref": "sheriytm/heng-s-model-unet-efficientnet-b5-with-submission", "kernel_id": "6203633"}, {"ref": "jessepinkman21/severstal-mlcomp-catalyst-heng-s-clf-refactored", "kernel_id": "6195006"}, {"ref": "naivelamb/severstal-steel-race", "kernel_id": "6282452"}, {"ref": "vipergo/pytorch-starter-u-net-resnet", "kernel_id": "6536815"}, {"ref": "shubham2306/severstal-steel-defect-u-net", "kernel_id": "6467186"}, {"ref": "zavareh89/segmentation-model22-mobile-cce-lovasz-draft-fold0", "kernel_id": "6310267"}, {"ref": "bhuwanbhatt/keras-unet-with-eda", "kernel_id": "6512786"}, {"ref": "jeongchanwoo/kernel16d21e1458", "kernel_id": "6271827"}, {"ref": "salilm23/std-catalyst-2fold-heng-effi2-phase-2-tta-2", "kernel_id": "6377599"}, {"ref": "momi64/submit-a-csv-file-created-offline", "kernel_id": "6286779"}, {"ref": "chukurimu0903/steel-defect-with-r", "kernel_id": "6079723"}, {"ref": "builderdavid/pubsegmodelinfer", "kernel_id": "6824717"}, {"ref": "nikhil04/defect-detection", "kernel_id": "6146204"}, {"ref": "lavrikovav/severstal-classification-pytorch", "kernel_id": "6214632"}, {"ref": "lavrikovav/severstal-classification-hog-svm-catboost", "kernel_id": "6205387"}, {"ref": "bibek777/heng-s-model-unet-efficientnet-b5", "kernel_id": "6116124"}, {"ref": "aleksandradeis/model-output-analysis", "kernel_id": "6283845"}, {"ref": "saffetgokcensen/severstal-truncated-vgg16-custom-dilated-residcon", "kernel_id": "6257633"}, {"ref": "edisonw/steel-eda-learning", "kernel_id": "6221823"}, {"ref": "hlerogeron/new-inferance-with-classifier", "kernel_id": "6012062"}, {"ref": "mczenitar/eda-defect-blobs-classification-on-its-geoms-1", "kernel_id": "6278775"}, {"ref": "hamditarek/severstal-preparing-dataset-for-classification", "kernel_id": "6153177"}, {"ref": "urajkumar/ece285-project-d", "kernel_id": "6926562"}, {"ref": "phunghieu/severstal-24-10-19-private-score-0-90348", "kernel_id": "6371450"}, {"ref": "phunghieu/preparing-dataset-for-classification-task", "kernel_id": "6144814"}, {"ref": "phunghieu/preparing-dataset-for-segmentation-task", "kernel_id": "6175512"}, {"ref": "phunghieu/splitting-dataset-and-creating-masks", "kernel_id": "6196378"}, {"ref": "syedrz/keras-unet-with-eda", "kernel_id": "6801172"}, {"ref": "marfoq96othmane/u-net-training", "kernel_id": "6026356"}, {"ref": "mobassir/deeplabv3-with-mobilenetv2", "kernel_id": "6426686"}, {"ref": "mobassir/severstal-unet-with-efficientnetb4-keras", "kernel_id": "6211989"}, {"ref": "mobassir/deeplabv3-resnet101-for-severstal-sdd", "kernel_id": "6195197"}, {"ref": "mobassir/mxnet-gluon-for-cloud-classification", "kernel_id": "6593210"}, {"ref": "shubhanshi8/dl-case-study", "kernel_id": "6473232"}, {"ref": "samrat77/severstal-mlcomp-catalyst-infer-0-90726", "kernel_id": "6256670"}, {"ref": "charan977/kernel2aa201a32c", "kernel_id": "6010406"}, {"ref": "renzestruiksma/severstal-mask-r-cnn-training-tutorial", "kernel_id": "6242721"}, {"ref": "anirbannath1612/unet-starter-kernel-pytorch-lb-0-88", "kernel_id": "6315767"}, {"ref": "khornlund/fork-of-sever-ensemble-3", "kernel_id": "6370558"}, {"ref": "khornlund/sever-ensemble-classification", "kernel_id": "6290114"}, {"ref": "thatbassguy/first-attempt-steel", "kernel_id": "6253525"}, {"ref": "thehemen/severstal-2-step-pipeline-with-u-net", "kernel_id": "6026438"}, {"ref": "phoenix9032/fpn-starter-kernel-focal-tversky-kfold", "kernel_id": "6266834"}, {"ref": "takanosuke/pytorch-severstal-steel-defect-detection", "kernel_id": "6144241"}, {"ref": "bimimi/steel-defect-eda-visualization", "kernel_id": "6019331"}, {"ref": "kamiyab123/kernel1f361f2f34", "kernel_id": "6658025"}, {"ref": "juliusgrassme/miniproject-cloud-type-segmentation-evaluation", "kernel_id": "6593850"}, {"ref": "juliusgrassme/miniproject-cloud-type-segmentation-training", "kernel_id": "6437167"}, {"ref": "qlasty/unet-tf2-dataset-channels-focal-tversky-loss", "kernel_id": "6390986"}, {"ref": "vh1981/severstal-steel-defect-detection", "kernel_id": "6024675"}, {"ref": "vh1981/severstal-steel-defect-detection-seg-only", "kernel_id": "6459450"}, {"ref": "vh1981/severstal-sdd-defect-classify-model", "kernel_id": "6289628"}, {"ref": "vh1981/severstal-steel-defect-detection-segonly-submit", "kernel_id": "6579839"}, {"ref": "kanchannannavare/severstal-steel-defect-detection", "kernel_id": "6371985"}, {"ref": "noname010/try-four-times", "kernel_id": "6081586"}, {"ref": "subinium/mask-visualization-managing-with-buttons", "kernel_id": "6216646"}, {"ref": "rsutaria/vgg-unet", "kernel_id": "6636340"}, {"ref": "negi009/fork-of-test-one-image-90-4", "kernel_id": "6298007"}, {"ref": "negi009/fork-of-test-one-image-835c91", "kernel_id": "6291179"}, {"ref": "nemethpeti/severstal-mlcomp-catalyst-improved-pb0-90147", "kernel_id": "6360497"}, {"ref": "genvsdis/kernel5db1659c50", "kernel_id": "6185878"}, {"ref": "thomasbrandon/severstalsubmission-tta", "kernel_id": "6376255"}, {"ref": "imnitishng/classification-model-training-heng-s-code", "kernel_id": "6161473"}, {"ref": "imnitishng/heng-s-code-for-training-segmentation-model-unet", "kernel_id": "6206019"}, {"ref": "jt120lz/unet-starter-kernel-pytorch-lb-0-88-add-fold", "kernel_id": "6254648"}, {"ref": "siriguna/severstal-simple-eda-to-validation", "kernel_id": "6575288"}, {"ref": "azctrazctr/mask-rcnn-detailed-starter-code", "kernel_id": "6662992"}, {"ref": "mohamedalhawi/modelbled4-2-2", "kernel_id": "6250977"}, {"ref": "abhinbt/exploratory-data-analysis", "kernel_id": "6393014"}, {"ref": "chuong98vt/jitsubmission", "kernel_id": "6370013"}, {"ref": "nomadix/1cl1sg", "kernel_id": "6211158"}, {"ref": "evgenyshtepin/severstal-mlcomp-catalyst-infer-0-90726", "kernel_id": "6011628"}, {"ref": "ohneda/severstal-mlcomp-catalyst-train-0-90672-offline", "kernel_id": "6369755"}, {"ref": "carnav0400/individual-models-normal-pytorch-main-600-6b2ed3", "kernel_id": "6317285"}, {"ref": "wangfengattutanota/kernel387e7beb44", "kernel_id": "6378686"}, {"ref": "mscaptain/dl-submission", "kernel_id": "6659123"}, {"ref": "mscaptain/unet-pretrained-98100", "kernel_id": "6606431"}, {"ref": "qkt1996/kernel492f719b2f", "kernel_id": "6165539"}, {"ref": "ni8hawk/submit-2", "kernel_id": "6659117"}, {"ref": "ni8hawk/16bit100-098-dl-submission", "kernel_id": "6609866"}, {"ref": "has64pitt/steel-defect-detection-eda-t01", "kernel_id": "6117743"}, {"ref": "mahaleshantanu4/steel-defect-detection", "kernel_id": "6405270"}, {"ref": "poojankhatri/kernelac4a837530", "kernel_id": "6642682"}, {"ref": "mrdaniilak/defect-area-segments-eda-with-plotly-fp-mining", "kernel_id": "6926663"}, {"ref": "prachidhingra/16bce119-112", "kernel_id": "6658388"}, {"ref": "prachidhingra/kernel7bf265f86f", "kernel_id": "6654346"}, {"ref": "activxx/mask-rcnn-detailed-starter-code", "kernel_id": "6666376"}, {"ref": "marquis08/restore-original-train-df", "kernel_id": "7956644"}, {"ref": "knightwisdom/13012020-sever-submission", "kernel_id": "7509790"}, {"ref": "knightwisdom/fork-of-13012020-sever-submission", "kernel_id": "7563551"}, {"ref": "knightwisdom/unet-pytorch-inference-kernel-58c83d", "kernel_id": "7563202"}, {"ref": "debanik123/steel-defect-image-processing", "kernel_id": "7436570"}, {"ref": "saisrinivasreddy/unet-pytorch-inference-kernel-58c83d", "kernel_id": "7471232"}, {"ref": "srinivasav22/severstal-simple-2-step-pipeline", "kernel_id": "7926943"}, {"ref": "japanese910/create-original-csvfiles", "kernel_id": "7824774"}, {"ref": "chingwenma/defect-area-segments-eda-with-plotly-fp-746df1", "kernel_id": "7915504"}, {"ref": "a03102030/practice-for-visualizing-mask-and-neural-network", "kernel_id": "8796524"}, {"ref": "leonisviridis/resnet34-unet", "kernel_id": "8382550"}, {"ref": "leonisviridis/unet-with-data-augmentation-0-82746", "kernel_id": "8257873"}, {"ref": "benedictlow/benedict-s-notebook", "kernel_id": "8007090"}, {"ref": "sagnikdev/steel-defect-detection-last", "kernel_id": "8292555"}, {"ref": "jaysmit/u-net", "kernel_id": "8984841"}, {"ref": "jaysmit/mask-rcnn", "kernel_id": "8078872"}, {"ref": "jhayescao/steel-detect", "kernel_id": "8704387"}, {"ref": "arjungoyal99/severstal-image-visualization-and-segmentation", "kernel_id": "8091289"}, {"ref": "eslamrizk/steel-defect-detection", "kernel_id": "8349865"}, {"ref": "sadikyetkin/steel-challenge", "kernel_id": "8845154"}, {"ref": "steveroberts/steel-submission", "kernel_id": "9155863"}, {"ref": "steveroberts/severstal-fast-ai-256x256-crops", "kernel_id": "9393458"}, {"ref": "steveroberts/severstal-fast-ai-256x256-crops-sub", "kernel_id": "9736982"}, {"ref": "gnaixuj/qbi-illumination-test-detrending", "kernel_id": "9206050"}, {"ref": "iurii8000/severstal-steel-defect-detection", "kernel_id": "9601871"}, {"ref": "pranav2103/keras-starter-u-net", "kernel_id": "9344400"}, {"ref": "arjungoyal99/severstal-classification-hog-svm-catboost", "kernel_id": "9324328"}, {"ref": "arjungoyal99/deeplabv3-resnet101-for-severstal-sdd", "kernel_id": "9344211"}, {"ref": "arjungoyal99/steel-defect-detection-fin", "kernel_id": "9401281"}, {"ref": "arjungoyal99/minor-2-combined", "kernel_id": "9480191"}, {"ref": "engmahmoudkhaled/steel-defect-detection-mk", "kernel_id": "9661814"}, {"ref": "engmahmoudkhaled/steel-defect-detection", "kernel_id": "9364123"}, {"ref": "sunlitung/assignment3", "kernel_id": "9455847"}, {"ref": "jeromiswa/severstal-step-1", "kernel_id": "9202079"}, {"ref": "uclh09/severstal-mlcomp-catalyst-infer-0-90672", "kernel_id": "10341698"}, {"ref": "didarul/defect-detection-starter-with-segnet", "kernel_id": "10034542"}, {"ref": "novikovmikhail/cnn-steel-defect-detection", "kernel_id": "10396354"}, {"ref": "koheimorishita/steel-defect-detection-by-u-net", "kernel_id": "10500457"}, {"ref": "uclh09/severstall-competition-single-model-with-2-heads", "kernel_id": "11079128"}, {"ref": "didarul/severstal-segnet-implementation", "kernel_id": "11497765"}, {"ref": "oseongchoi/postechai-studyb", "kernel_id": "11608012"}, {"ref": "khalidmohamed/fork-of-steel-defect-detection-05ca30", "kernel_id": "11114174"}, {"ref": "khalidmohamed/final-of-steel-defect-detection", "kernel_id": "11147239"}, {"ref": "khalidmohamed/fork-of-steel-defect-detection-05ca30-5f8dc9", "kernel_id": "11133096"}, {"ref": "khalidmohamed/steel-defect-detection-final-version", "kernel_id": "11164385"}, {"ref": "khalidmohamed/salah-notebook", "kernel_id": "11155515"}, {"ref": "islamhamed25/sdd-meduim", "kernel_id": "11138232"}, {"ref": "islamhamed25/fork-of-fork-of-steel-defect-detection-05ca-2c83b4", "kernel_id": "11151035"}, {"ref": "islamhamed25/salah-notebook", "kernel_id": "11156059"}, {"ref": "islamhamed25/stdd-notebook", "kernel_id": "11170045"}, {"ref": "eslamrizk/stdd-notebook", "kernel_id": "11165433"}, {"ref": "kushagras71/steel-defect-detection", "kernel_id": "11816942"}, {"ref": "thevenkat/u-net-model-3", "kernel_id": "11351076"}, {"ref": "riteshmanna/steel", "kernel_id": "11047047"}, {"ref": "maehama/steal", "kernel_id": "11049767"}, {"ref": "ahmedmurad1990/steel-defect-detection-normal-pytorch", "kernel_id": "11487398"}, {"ref": "eslamkhalaf/stdd-notebook", "kernel_id": "11182957"}, {"ref": "mamuadam/kernel271114f32d", "kernel_id": "11002488"}, {"ref": "sijiachen303/unet-pytorch-inference-kernel", "kernel_id": "11635169"}, {"ref": "sijiachen303/unet-starter-kernel-pytorch-lb-0-88", "kernel_id": "11624055"}, {"ref": "oseongchoi/postechai-studya2", "kernel_id": "12232540"}, {"ref": "volkandl/segmenator-unet-in-steel", "kernel_id": "12490547"}, {"ref": "amrkhaledaziz/notebook70b6b8d6f0", "kernel_id": "12298528"}, {"ref": "sandhiwangiyana/multilabel-binarizer-in-pandas", "kernel_id": "12876714"}, {"ref": "chinmaykabi/clear-mask-visualization-and-simple-eda", "kernel_id": "12552927"}, {"ref": "husthb/severstal-hrnet-1", "kernel_id": "13240928"}, {"ref": "cccpno/steel-defect-detection-statistics", "kernel_id": "13347344"}, {"ref": "b07502089shuwei/severstal-steel-defect-detection", "kernel_id": "13996247"}, {"ref": "b07902143/notebook20ab0a00c0", "kernel_id": "13695314"}, {"ref": "attischen/notebook20ab0a00c0", "kernel_id": "13241975"}, {"ref": "iceteamumu/notebook20ab0a00c0", "kernel_id": "13406023"}, {"ref": "ryutakitai/u-net-model-3-edited", "kernel_id": "13961651"}, {"ref": "ikaynov/resunet-tensorflow-training", "kernel_id": "14324350"}, {"ref": "ikaynov/severstal-eda", "kernel_id": "14247871"}, {"ref": "ikaynov/resunet-inference", "kernel_id": "14328157"}, {"ref": "akhilpenta/unet-resnet34-1-0", "kernel_id": "14879862"}, {"ref": "patriciagdri/mask-rcnn-detailed-starter-code", "kernel_id": "14374791"}, {"ref": "nithinkg/project-1-cnn-detecting-the-steel-defects", "kernel_id": "14590363"}, {"ref": "nithinkg/steel-defect-detection-vikesh-1", "kernel_id": "14882172"}, {"ref": "jianxinliu/severstal-submitxception2-20210312", "kernel_id": "15461552"}, {"ref": "jianxinliu/severstal-prediction-writexception2-20210312", "kernel_id": "15461257"}, {"ref": "akhilpenta/unet-tensorflow", "kernel_id": "15187847"}, {"ref": "haridev16/sheet-metal-eda", "kernel_id": "15244883"}, {"ref": "ratul6/steel-defect-detection-using-cnn", "kernel_id": "15881140"}, {"ref": "keyadeshmukh/severstal-eda", "kernel_id": "15298292"}, {"ref": "weslatimarwen/keras-model-acc-0-8", "kernel_id": "15614740"}, {"ref": "ammarnassanalhajali/steel-unet-experimental-results", "kernel_id": "15457391"}, {"ref": "qingfengmingyue2021/severstal-segmentation-unetwithaug-20210315", "kernel_id": "15536474"}, {"ref": "reyvaz/severstal-inference-submission", "kernel_id": "16095553"}, {"ref": "jadenqee/pytorch-severstal-steel-defect-detection", "kernel_id": "16103596"}, {"ref": "jadenqee/using-poly-yolo-for-steel-defect-detection", "kernel_id": "16142073"}, {"ref": "cystanford/boost-your-score-with-pixel-counts-0-886-0-888", "kernel_id": "16099413"}, {"ref": "yasserhessein/severstal-steel-defect-detection-with-xception", "kernel_id": "16507375"}, {"ref": "gogeta054/metal-surface-defect-detection", "kernel_id": "16082704"}, {"ref": "naratipboonbanyen/steel-defect-detection", "kernel_id": "16176054"}, {"ref": "bahti555/mask-rcnn-detailed-starter-code", "kernel_id": "16276152"}, {"ref": "ghitnine/mask-rcnn-detailed-starter-code", "kernel_id": "16367802"}, {"ref": "gilangfr/mask-rcnn-gilang-fadhillah-r-17-01-53-0083", "kernel_id": "16376693"}, {"ref": "rondiyanto/mask-rcnn-komputasi-cerdas-17-01-53-0056", "kernel_id": "16392921"}, {"ref": "fanjisetiawan/17-01-53-0061-rcnn-several-steel-defect-dection", "kernel_id": "16374721"}, {"ref": "farizsetiawan/mask-rcnn-fariz-setiawan-17-01-53-0001", "kernel_id": "16392998"}, {"ref": "ritwik002/severstal-steel-defect-detection-with-xception", "kernel_id": "17223212"}, {"ref": "traptrip/unet-starter-kernel-pytorch-lb-0-88", "kernel_id": "17187115"}, {"ref": "wanghaoyu26/resunet", "kernel_id": "17246919"}, {"ref": "jasonkung98/automatic-anomaly-detection-for-steel-defects", "kernel_id": "17846071"}, {"ref": "ljaewoo/u-net", "kernel_id": "17040353"}, {"ref": "yuanhuikai/resunet", "kernel_id": "17250042"}, {"ref": "finlay/unet-starter-kernel-pytorch-lb-0-88", "kernel_id": "18366050"}, {"ref": "finlay/clear-mask-visualization-and-simple-eda", "kernel_id": "18477768"}, {"ref": "khalidoublal/operation-small-yolo", "kernel_id": "19169354"}, {"ref": "mmsphnb/keras-unet-with-eda", "kernel_id": "19323651"}, {"ref": "nizamudma/mask-rcnn-model", "kernel_id": "20591113"}, {"ref": "yantingyu11/dl-practice-steel-defect-detection-cnn", "kernel_id": "20683241"}, {"ref": "pavelkochetov/severstal-inference", "kernel_id": "21848255"}, {"ref": "pavelkochetov/severstal", "kernel_id": "21830839"}, {"ref": "allanyiin/steeldefect", "kernel_id": "22304510"}, {"ref": "panupongsaejeong/project-ml-steel", "kernel_id": "22054808"}, {"ref": "panupongsaejeong/submission", "kernel_id": "22100267"}, {"ref": "coregang/severstal-test-task", "kernel_id": "23541512"}, {"ref": "hzouari/resunet-a-baseline-on-tensorflow", "kernel_id": "23727952"}, {"ref": "ictgroup/intelligent-quality-control-system-steel-defect", "kernel_id": "24598452"}, {"ref": "utains/diplom", "kernel_id": "24907104"}, {"ref": "jaychoumoon/resunet-a-baseline-on-tensorflow", "kernel_id": "24113168"}, {"ref": "team63/clear-mask-visualization-kaggle-rev-01", "kernel_id": "24750104"}, {"ref": "novikovmikhail/my-u-net-basline-detector", "kernel_id": "25067161"}, {"ref": "daring02/severstal-train", "kernel_id": "25994053"}, {"ref": "diaodehen/keras-unet-with-eda", "kernel_id": "25001981"}, {"ref": "longlxw/model-effect-visualization", "kernel_id": "27267694"}, {"ref": "longlxw/resunet-on-tensorflow-repeat-and-ppm", "kernel_id": "27131887"}, {"ref": "longxwork/deeper-resunet-on-tensorflow-repeat", "kernel_id": "27181711"}, {"ref": "longxwork/deeper-resunet-on-tensorflow-repeat-and-ppm", "kernel_id": "27282655"}, {"ref": "longxwork/model-effect-visualization-repeat", "kernel_id": "27268367"}, {"ref": "allanyiin/steeldefect-sgment", "kernel_id": "28175325"}, {"ref": "grahit27/steel-defect-detection-models-with-plots", "kernel_id": "28826155"}, {"ref": "grahit27/steel-defect-detection-with-multi-pipeline-model", "kernel_id": "28660205"}, {"ref": "googol007/combine", "kernel_id": "28818780"}, {"ref": "mortezaheidari/loss-function-library-keras-pytorch", "kernel_id": "28519604"}, {"ref": "hazemahmedmurshedi/steel-defects-mask-unet", "kernel_id": "28829069"}, {"ref": "rkuo2000/steel-defection", "kernel_id": "30593262"}, {"ref": "rkuo2000/steel-defect-detection", "kernel_id": "30593533"}, {"ref": "myominhtet/steel-defection", "kernel_id": "30418684"}, {"ref": "baolinchen132/resunet2-v4", "kernel_id": "30780974"}, {"ref": "blchen132/resunet2-v4", "kernel_id": "30820102"}, {"ref": "huangbohua/steel-defect-detection-inference", "kernel_id": "31910361"}, {"ref": "faizkads/u-net", "kernel_id": "32532758"}, {"ref": "faizkads/submission", "kernel_id": "32536104"}, {"ref": "rakgyunim/cv-tutorial-part-2-segmentation-u-net", "kernel_id": "32653199"}, {"ref": "jinsolkwon/steel-defect-detection-u-net-pytorch", "kernel_id": "32690885"}, {"ref": "buicuong414/hw4-resu-net-ver2", "kernel_id": "32592645"}, {"ref": "syzygee/classification-model", "kernel_id": "32965098"}, {"ref": "syzygee/u-net", "kernel_id": "32802047"}, {"ref": "nithunith/steel-defect-detection-u-net-pytorch", "kernel_id": "33806765"}, {"ref": "ysnyldrms/steel-v2-3", "kernel_id": "33628652"}, {"ref": "myroofs/severstal-steel-defect-detection-with-xception", "kernel_id": "33641039"}, {"ref": "gpiosenka/steel-defect-classification-f1score-86", "kernel_id": "34015735"}, {"ref": "vikashchand28/surface-crack-detection", "kernel_id": "34747689"}, {"ref": "adithkrishna/capstone-final-project", "kernel_id": "35948012"}, {"ref": "yaroslavsteshenko/steel-defect-detection", "kernel_id": "35374366"}, {"ref": "yaroslavsteshenko/steel-defect-detection-resnet18", "kernel_id": "36586639"}, {"ref": "ylikhithasatyasreeja/severstal-steel-defect-detection", "kernel_id": "36410040"}, {"ref": "theerathongsanitkarn/sverstal-steel-defect-detection", "kernel_id": "36557028"}, {"ref": "shreyarajanala/severstal-steel-defect-detection", "kernel_id": "36498646"}, {"ref": "yaroslavsteshenko123/steel-resnet101", "kernel_id": "36689180"}, {"ref": "adithkrishna/resnet101-thesis-trial-1-running", "kernel_id": "37334934"}, {"ref": "adithkrishna/small-yolo-thesis-try-running", "kernel_id": "37340686"}, {"ref": "adithkrishna/mask-rcnn-model-thesis-try-running", "kernel_id": "37340642"}, {"ref": "adithkrishna/xception-thesis-trial-running", "kernel_id": "37338773"}, {"ref": "hoanganhxt/ensemble-model", "kernel_id": "37142470"}, {"ref": "joseflosos/defect-detection-starter-u-net", "kernel_id": "37634016"}, {"ref": "charansaiyesh/notebook575aaf39f2", "kernel_id": "38236504"}, {"ref": "charansaiyesh/fork-of-notebook575aaf39f2", "kernel_id": "38319850"}, {"ref": "kaanukur/defect-detection", "kernel_id": "39492294"}, {"ref": "hoanganhxt/steel-defect-segmen-classiify", "kernel_id": "39882420"}, {"ref": "stpeteishii/steel-defect-unet", "kernel_id": "40817338"}, {"ref": "stpeteishii/steel-defect-encodedpixel-to-mask-image", "kernel_id": "40815924"}, {"ref": "dhirajpatra/steel-defect-detection", "kernel_id": "40396060"}, {"ref": "muhammedajasa/ensemble-model", "kernel_id": "40570875"}, {"ref": "aayamkhadka46/steel-defect-detection-u-net-pytorch", "kernel_id": "40201494"}, {"ref": "hungvipqt2k2/steel-defect-detection-using-cnn", "kernel_id": "41994268"}, {"ref": "jfli318/steel-defect-model1-pipe2", "kernel_id": "41579889"}, {"ref": "jfli318/steel-defect-model-integrated", "kernel_id": "41648660"}, {"ref": "humphrey00407/unet-starter-kernel-pytorch-lb-0-88-290479", "kernel_id": "42347010"}, {"ref": "bmduchust/cnn-using", "kernel_id": "42020333"}, {"ref": "hsw1212/steel-defect-detection-resnet18-norun", "kernel_id": "42058083"}, {"ref": "vinayak121/unet-img-seg", "kernel_id": "44961631"}, {"ref": "babeth974/unet-imt-starter", "kernel_id": "46242323"}, {"ref": "uraninjo/multi-class-segmentation-pytorch", "kernel_id": "47255308"}, {"ref": "grower/yolov8-seg-test", "kernel_id": "47787462"}, {"ref": "ysnyldrms/multilabeled-model-mobilenetv2", "kernel_id": "49003801"}, {"ref": "abdulwali55/steel-defect-detection-resnet18", "kernel_id": "49569174"}, {"ref": "sergeizelenin/severstal-steel-defect-detection-with-xception", "kernel_id": "50955040"}, {"ref": "allseen/severstal", "kernel_id": "51083746"}, {"ref": "zienabesam/defect-detection-using-yolov5", "kernel_id": "56530515"}, {"ref": "mahdiislam/loss-function-library-keras-pytorch", "kernel_id": "57240373"}, {"ref": "sreeharit990/notebook273d0b3faf", "kernel_id": "57461433"}, {"ref": "seoyunje/brain-mri-classification-tensorflow", "kernel_id": "59553489"}, {"ref": "igorastashov/1st-effnet-b7", "kernel_id": "60341654"}, {"ref": "seoyunje/keras-segmentation-unet-linknet", "kernel_id": "60387162"}, {"ref": "thermostatic/final-self-supervised", "kernel_id": "61911143"}, {"ref": "mahmoudhaytham/severstal-steel-defect", "kernel_id": "64141489"}, {"ref": "mahmoudhaytham/steel-defect-2", "kernel_id": "65285260"}, {"ref": "melodyxzzz/cv-11-10", "kernel_id": "70266015"}, {"ref": "xjq701229/gpu-env", "kernel_id": "72836315"}, {"ref": "sjtuxuejiaqi/train-fpn-2", "kernel_id": "72921102"}, {"ref": "sjtuxuejiaqi/train-fpn-3", "kernel_id": "72921156"}, {"ref": "sjtuxuejiaqi/train-fpn-1", "kernel_id": "72891935"}, {"ref": "sjtuxuejiaqi/train-fpn", "kernel_id": "72862522"}, {"ref": "antonmonakhov/steel-defect-detection", "kernel_id": "74082141"}, {"ref": "matthewtian/notebook45dd64994b", "kernel_id": "74753502"}, {"ref": "nelsonoscar/xz-train", "kernel_id": "74047072"}, {"ref": "nelsonoscar/xz-inference", "kernel_id": "74047142"}, {"ref": "oscarnelson/xz-train-nocolor", "kernel_id": "74515892"}, {"ref": "oscarnelson/xz-train-origin", "kernel_id": "74398077"}, {"ref": "oscarnelson/unet-starter-kernel-pytorch-lb-0-88", "kernel_id": "74674637"}, {"ref": "oscarnelson/unet-pytorch-inference-kernel", "kernel_id": "74674650"}, {"ref": "oscarnelson/xz-inference", "kernel_id": "74261746"}, {"ref": "oscarnelson/xz-train", "kernel_id": "74261764"}, {"ref": "oscarnelson/mergenet", "kernel_id": "74789876"}, {"ref": "oscarnelson/mergenet-inference", "kernel_id": "74844666"}, {"ref": "liyufeng816/notebook-lyf", "kernel_id": "74276941"}, {"ref": "chirtee/inference-fpn-739e23", "kernel_id": "74611341"}, {"ref": "cactussilver/mask-r-cnn-lb-0-273", "kernel_id": "74807408"}, {"ref": "zhao0056/notebookad7fc23e61", "kernel_id": "74815566"}, {"ref": "zhao0056/mask-rcnn-detailed-starter-code", "kernel_id": "74800208"}, {"ref": "sjtuxuejiaqi/finalsubmission", "kernel_id": "74851642"}, {"ref": "hubery11/finalsubmission", "kernel_id": "76065492"}, {"ref": "kuuhaku07/bcediceloss-resnet-18-u-net-training-val-0-65", "kernel_id": "77713848"}, {"ref": "zhenhanhu/steel-notebook", "kernel_id": "77017003"}, {"ref": "nguyenquangthinhus/resunet-tensorflow-training", "kernel_id": "77548088"}, {"ref": "mohitsapat/steel-defect-detection", "kernel_id": "78973052"}, {"ref": "ganihunglin/ganihung-nlp", "kernel_id": "78752930"}, {"ref": "oulcanakca/steeldefect-unet-efficientnetb4-training-0-83pub", "kernel_id": "82969321"}, {"ref": "oulcanakca/steeldefect-unet-efficientnetb4-inference-0-83pub", "kernel_id": "83018788"}, {"ref": "deniztopal01/my-inference-kernel", "kernel_id": "84777199"}, {"ref": "fadheliqbal/severstall-steel-sampling", "kernel_id": "84497054"}, {"ref": "vernondsouza123/segmentation-refresher-keras-unet", "kernel_id": "85028402"}, {"ref": "nikitask3/project-metal", "kernel_id": "85428765"}, {"ref": "nikto365/hullcheck-model", "kernel_id": "85461308"}, {"ref": "kaju1611/yolov8", "kernel_id": "93434814"}, {"ref": "erdalgm/notebookdab9ff221b", "kernel_id": "93175350"}, {"ref": "uwhuwh/steel-defect-segmentation-unet", "kernel_id": "93192015"}, {"ref": "shravyadsouza22/severstal-steel-defect-detection", "kernel_id": "95914889"}, {"ref": "oyforge/cv-project-pbl", "kernel_id": "97868005"}, {"ref": "cliuxcl/notebook2cd9df1047", "kernel_id": "98452015"}, {"ref": "amitkumargope/steel-defect-detection", "kernel_id": "102724044"}, {"ref": "steliosntoumas/defect-detection-on-steel-surfaces", "kernel_id": "103748437"}, {"ref": "michakorlatowicz/08-real-time-defect-detection-on-steel-surface", "kernel_id": "103548528"}, {"ref": "antonadonin/yolov8-seg-test", "kernel_id": "104758678"}, {"ref": "t09n0tch/segformer-b0", "kernel_id": "106449691"}, {"ref": "notrickhere/unet-radam-kernel-pytorch-lb-0-88", "kernel_id": "106349085"}, {"ref": "pukkinming/severstal-unet-baseline-infer-20260113", "kernel_id": "107044950"}, {"ref": "pukkinming/severstal-unet-baseline-knowledge-distillation", "kernel_id": "107202739"}, {"ref": "pukkinming/severstal-mobilenet-v2-kd-larger-bs-infer-20260117", "kernel_id": "107226408"}, {"ref": "pukkinming/severstal-unet-effb3-infer-20260117", "kernel_id": "107226781"}, {"ref": "arnavde/severstaldefectdetection", "kernel_id": "112175058"}, {"ref": "arpitmadhan/weld-defect", "kernel_id": "115361673"}, {"ref": "tanmay5757/notebook9885d8f458", "kernel_id": "116379174"}, {"ref": "vitcnginh/unet50-official", "kernel_id": "118948713"}, {"ref": "ukki123/u-net-efficientnet-b3-notebook123321mnq", "kernel_id": "118995943"}, {"ref": "phamhieuminhquan/steel-defect-detection-baseline-v3", "kernel_id": "118992027"}, {"ref": "aurthee/steel-defect-detection-pipeline-2026-hybrid-hier", "kernel_id": "119726175"}, {"ref": "ukki123/fpn-34-256x800", "kernel_id": "119954314"}, {"ref": "ukki123/unet50-256x800", "kernel_id": "119915999"}, {"ref": "ukki123/seg-fold4-unetb3", "kernel_id": "119582230"}, {"ref": "ukki123/fpn-b3-fold-1-notebookdb891b1250", "kernel_id": "119656922"}, {"ref": "ukki123/notebook1c6931c608", "kernel_id": "119232933"}, {"ref": "ukki123/fold1-notebook5e766e87f8", "kernel_id": "119255697"}, {"ref": "ukki123/fpn-efficientnet-b3-notebook123321abc", "kernel_id": "119205299"}, {"ref": "ukki123/u-net-se-resnext101-notebook123321kjq", "kernel_id": "119035447"}, {"ref": "ukki123/seg-fold0-unetb3", "kernel_id": "119466786"}, {"ref": "ukki123/fold-3-notebook7fadbd310e", "kernel_id": "119381359"}, {"ref": "ukki123/fold2-notebookdb4bf58790", "kernel_id": "119325102"}, {"ref": "vitcnginh/u-net-efficientnet-b3-256x800-seed92", "kernel_id": "120104598"}, {"ref": "kurobasgari/steel-defect-detection-v1", "kernel_id": "120704925"}, {"ref": "kurobasgari/steel-defect-detection", "kernel_id": "120596745"}, {"ref": "ukki123/fpnb3-seed122", "kernel_id": "120707357"}, {"ref": "ukki123/seed-132-u-net-efficientnet-b3", "kernel_id": "120938510"}, {"ref": "ukki123/256-800-fpnb3", "kernel_id": "120065588"}, {"ref": "ukki123/256x400-fpn-efficientnet-b3-seed101", "kernel_id": "120445261"}, {"ref": "aurthee/unet-efficientnet-b4-segmentation", "kernel_id": "121994783"}, {"ref": "echloeprice/yolov8-seg-scratch-detection-on-steel-surface", "kernel_id": "121367296"}, {"ref": "kurobasgari/steel-defect-detection-v2-1", "kernel_id": "121124975"}, {"ref": "ukki123/fpn-resnet50-256x800-seed62", "kernel_id": "121421039"}, {"ref": "vitcnginh/b-256x800-fpnb3", "kernel_id": "122870792"}, {"ref": "vitcnginh/ng-b-256x800-u-net-b3", "kernel_id": "122830563"}, {"ref": "vitcnginh/b-fpn-efficientnet-b3-256x1600", "kernel_id": "122827200"}, {"ref": "vitcnginh/b-u-net-efficientnet-b3-256x1600", "kernel_id": "122827512"}, {"ref": "vitcnginh/b-fpn-resnet50-full-image", "kernel_id": "122986087"}, {"ref": "vitcnginh/b-fpn-resnet50-256x800", "kernel_id": "122986440"}, {"ref": "vitcnginh/b-unet50-256x800", "kernel_id": "123021726"}, {"ref": "jianggeorge/unet-starter-kernel-pytorch-new2111", "kernel_id": "128449652"}, {"ref": "abdullahkhan161101/steel-defect-detection", "kernel_id": "130750044"}, {"ref": "koujiao/severstal-b5-se-resnext-weighted-inference", "kernel_id": "130609257"}, {"ref": "quanchich123/notebook6e8ff8be1f", "kernel_id": "131016028"}, {"ref": "khusipatra/steel-segmentation-1", "kernel_id": "133398741"}, {"ref": "alishbahmaryam/metadata-csv", "kernel_id": "134355741"}, {"ref": "juna1013/archive2-severstal-steel-defect-detection", "kernel_id": "135938491"}, {"ref": "juna1013/severstal-train", "kernel_id": "136404598"}]}
{"competition_id": "14242", "kernels": [{"ref": "konradb/can-we-beat-it", "kernel_id": "4831506"}, {"ref": "ab90hi/a-time-series-perspective-and-insights", "kernel_id": "4888341"}, {"ref": "inversion/ieee-simple-xgboost", "kernel_id": "4817508"}, {"ref": "dataraj/eda-and-decision-tree-with-data-imbalancetackling", "kernel_id": "4887685"}, {"ref": "mpearmain/extended-timeseriessplitter", "kernel_id": "4930311"}, {"ref": "danofer/ieee-fraud-features-xgboost-0-934-lb", "kernel_id": "4867140"}, {"ref": "danofer/ieee-fraud-new-features-export-0-94-lb", "kernel_id": "4882346"}, {"ref": "danofer/ieee-with-h2o-automl-fork", "kernel_id": "4859511"}, {"ref": "danofer/xgboost-using-optuna-fastauc-features", "kernel_id": "4953495"}, {"ref": "jakubczakon/how-to-add-experiment-management-to-your-kernels", "kernel_id": "4864300"}, {"ref": "jakubczakon/training-and-validation-schema", "kernel_id": "4902450"}, {"ref": "jakubczakon/features-v0", "kernel_id": "4907560"}, {"ref": "saurabh502/adversarial-validation-ieee", "kernel_id": "4873286"}, {"ref": "priteshshrivastava/ieee-cis-fraud-random-forest-0-90-lb", "kernel_id": "4845624"}, {"ref": "arnocandel/python-datatable", "kernel_id": "4871752"}, {"ref": "abimannan/ieee-fraud-detection", "kernel_id": "4857441"}, {"ref": "stocks/under-sample-with-multiple-runs", "kernel_id": "4890067"}, {"ref": "stocks/stacking-higher-and-higher", "kernel_id": "4940187"}, {"ref": "stocks/can-we-beat-it", "kernel_id": "4835515"}, {"ref": "terrypham/transactiondt-timeframe-deduction", "kernel_id": "4999701"}, {"ref": "silverstone1903/simple-xgboost-with-feature-interactions", "kernel_id": "4913010"}, {"ref": "ankittomar1/quick-insight-ieee", "kernel_id": "4868822"}, {"ref": "indranilbhattacharya/simple-eda-3d-plots", "kernel_id": "4842647"}, {"ref": "tunguz/standalone-train-and-test-preprocessing", "kernel_id": "4832055"}, {"ref": "tunguz/ieee-with-h2o-automl", "kernel_id": "4833297"}, {"ref": "tunguz/adversarial-ieee", "kernel_id": "4833423"}, {"ref": "krlitoos/ieee-fraud-simple-baseline-r", "kernel_id": "4930639"}, {"ref": "krlitoos/adversarial-ieee-r", "kernel_id": "4849947"}, {"ref": "sunghun/ieee-fraud-detection-eda-step1", "kernel_id": "4921141"}, {"ref": "om1042/lgb-xgb", "kernel_id": "4881126"}, {"ref": "om1042/ieee-lgb-bayesian-opt-pca", "kernel_id": "4874025"}, {"ref": "om1042/ieee-fraud-xgboost-with-gpu-pca", "kernel_id": "4859604"}, {"ref": "cemyusufayd/reconstructing-data-with-variational-autoencoder", "kernel_id": "4922869"}, {"ref": "robikscube/ieee-fraud-plotting-every-feature-by-date", "kernel_id": "4884265"}, {"ref": "robikscube/ieee-fraud-detection-first-look-and-eda", "kernel_id": "4831471"}, {"ref": "robikscube/baseline-catboost-feat-importance", "kernel_id": "4831760"}, {"ref": "robikscube/the-race-to-detect-fraud-final-lb", "kernel_id": "4849961"}, {"ref": "alijs1/ieee-transaction-columns-reference", "kernel_id": "4884993"}, {"ref": "psystat/ieee-extensive-eda-lgb-with-r", "kernel_id": "4834721"}, {"ref": "dcdh123/eda-ieee-fraud-data", "kernel_id": "4848822"}, {"ref": "artgor/eda-and-models", "kernel_id": "4836706"}, {"ref": "moizzz/idee-eda-transactiondt", "kernel_id": "4835363"}, {"ref": "acruve15/ieee-fraud-xgboost-with-kfold", "kernel_id": "4991658"}, {"ref": "burgalon/ieee-fraud-detection-fast-ai-deep-learning-nn", "kernel_id": "4940938"}, {"ref": "flachboard/ieee-with-r", "kernel_id": "4881512"}, {"ref": "pouryaayria/let-data-speak-quick-eda", "kernel_id": "4853460"}, {"ref": "pocketsuteado/adversarial-ieee-without-date", "kernel_id": "4835966"}, {"ref": "nicapotato/fraud-shap-xgboost", "kernel_id": "4985914"}, {"ref": "vincentlugat/ieee-catboost-gpu-baseline-5-kfold", "kernel_id": "4865344"}, {"ref": "vincentlugat/ieee-lgb-bayesian-opt", "kernel_id": "4846958"}, {"ref": "kevinbonnes/transactiondt-starting-at-2017-12-01", "kernel_id": "4842178"}, {"ref": "wajihullahbaig/grouped-feature-accuracy", "kernel_id": "4878406"}, {"ref": "takaishikawa/simple-sampling-approach", "kernel_id": "4855167"}, {"ref": "takaishikawa/adversarial-ieee-remove-transactiondt", "kernel_id": "4836814"}, {"ref": "shahules/tackling-class-imbalance", "kernel_id": "4854553"}, {"ref": "ryches/ieee-ensemble-xgboost-lgbm-w-earlystopping", "kernel_id": "4831485"}, {"ref": "ryches/trying-to-remove-toxic-features", "kernel_id": "4835886"}, {"ref": "kabure/baseline-fraud-detection-eda-interactive-views", "kernel_id": "4831924"}, {"ref": "kabure/extensive-eda-and-modeling-xgb-hyperopt", "kernel_id": "4836224"}, {"ref": "aussie84/eda-starter-wip", "kernel_id": "4861992"}, {"ref": "grroverpr/ieee-catboost-baseline", "kernel_id": "4983004"}, {"ref": "nagamanir/ieee-fraud-detection-eda", "kernel_id": "4861367"}, {"ref": "niteshhalai/first-look-ieee-fraud-detection", "kernel_id": "4940743"}, {"ref": "hallohj/fraud-detection-simple-eda", "kernel_id": "4838657"}, {"ref": "mastergogo/fraud-detection", "kernel_id": "4868158"}, {"ref": "yskn67/productcd-x-identfy-eda", "kernel_id": "4893763"}, {"ref": "cedna198/ieee-fraud-detection-from-customer-transactions", "kernel_id": "4833386"}, {"ref": "hatunina/ieee-fraud-detection-first-puzzle", "kernel_id": "4843805"}, {"ref": "cchadha/what-can-we-quickly-infer", "kernel_id": "4942892"}, {"ref": "vchulski/ieee-simple-models-comparison", "kernel_id": "4831798"}, {"ref": "shivamanhar/fraud-detection", "kernel_id": "4835928"}, {"ref": "prazhant/h2o-automl-tutorial-ieee-cis-fraud-detection", "kernel_id": "4974620"}, {"ref": "pavelvpster/ieee-fraud-eda-lightgbm-baseline", "kernel_id": "4919648"}, {"ref": "hamditarek/deep-learning-for-ieee-fraud-detection-problem", "kernel_id": "4851018"}, {"ref": "hamditarek/ensemble-0-9429", "kernel_id": "4936032"}, {"ref": "vaibhavmathur96/stacking-the-4-outputs-lb-score-0-9425", "kernel_id": "4930177"}, {"ref": "mahoto0523/ieee-cis-fraud-detection", "kernel_id": "4994357"}, {"ref": "nroman/eda-for-cis-fraud-detection", "kernel_id": "4955092"}, {"ref": "ahmadjordan/ieee-ensemble-xgboost-deeper-version", "kernel_id": "4836816"}, {"ref": "sarahxue/fraud-detection", "kernel_id": "4837121"}, {"ref": "ricardtrinchet/ieee-eda-random-forest-model", "kernel_id": "4839227"}, {"ref": "mjbahmani/reducing-memory-size-for-ieee", "kernel_id": "4837696"}, {"ref": "thaer2018/tpot-2nd-round", "kernel_id": "4967358"}, {"ref": "thaer2018/xgboost-ieee-vesta-frauds", "kernel_id": "4989194"}, {"ref": "thaer2018/automlclassifierforfrauds-usingtpot", "kernel_id": "4921309"}, {"ref": "alongigi/data-exploration", "kernel_id": "4987418"}, {"ref": "airplane2230/shc-ieee-toy", "kernel_id": "4918659"}, {"ref": "tboyle10/01-ieee-cis-fraud-detection-baseline-models", "kernel_id": "4956802"}, {"ref": "takanobu0210/ieee-visualization-and-xgboost-model", "kernel_id": "4837510"}, {"ref": "hassanamin/eda-for-cis-fraud-detection-solution", "kernel_id": "4909448"}, {"ref": "hassanamin/fraud-complete-eda", "kernel_id": "4910294"}, {"ref": "frizzles7/fraud-detection-preliminary-analysis", "kernel_id": "4853266"}, {"ref": "snakayama/xgboost-using-optuna", "kernel_id": "4883881"}, {"ref": "snakayama/ieee-eda-simple-logisticregression-cv-0-72091", "kernel_id": "4848241"}, {"ref": "ukveteran/starter-jma-ieee-cis-fraud-detection", "kernel_id": "4992073"}, {"ref": "tikedameu/ieee-fraud-detection-additional-graph", "kernel_id": "4921399"}, {"ref": "tikedameu/simple-visualization-via-t-sne-pca-tuncatedsvd", "kernel_id": "4920764"}, {"ref": "tikedameu/anomaly-detection-with-autoencoder-pytorch", "kernel_id": "4916505"}, {"ref": "rstogi896/lightgbmx", "kernel_id": "4840602"}, {"ref": "artkulak/ieee-fraud-simple-baseline-0-9383-lb", "kernel_id": "4839300"}, {"ref": "artkulak/use-only-5-of-0-labels-get-negligible-lb-drop", "kernel_id": "4880581"}, {"ref": "phoenix9032/ieee-fraud-my-first-ml-trial", "kernel_id": "4876300"}, {"ref": "phoenix9032/gensim-lda-for-creating-new-features-my-ml-trial", "kernel_id": "4991312"}, {"ref": "xhlulu/ieee-fraud-xgboost-with-gpu-fit-in-40s", "kernel_id": "4835353"}, {"ref": "xhlulu/ieee-fraud-efficient-grid-search-with-xgboost", "kernel_id": "4890492"}, {"ref": "jazivxt/safe-box", "kernel_id": "4839928"}, {"ref": "fchmiel/day-and-time-powerful-predictive-feature", "kernel_id": "4858463"}, {"ref": "fchmiel/eda-of-missing-data", "kernel_id": "4844133"}, {"ref": "sunilsj99/fraud-detection-ieee", "kernel_id": "4841257"}, {"ref": "chizuchizu/japanese-python-first-code", "kernel_id": "4873912"}, {"ref": "chizuchizu/japanese-extraction-of-importance", "kernel_id": "4969781"}, {"ref": "pabloinsente/ieee-fraud-detailed-exploration-plots-all-var", "kernel_id": "4836894"}, {"ref": "rajwardhanshinde/stackers-blend-top-4", "kernel_id": "4949133"}, {"ref": "rajwardhanshinde/stacking", "kernel_id": "4917732"}, {"ref": "vaishvik25/ensemble", "kernel_id": "4866496"}, {"ref": "vaishvik25/keras-nn-s-ieee", "kernel_id": "4949778"}, {"ref": "vaishvik25/nn-conv1d", "kernel_id": "4986651"}, {"ref": "lopost/ieee-fraud-analysis", "kernel_id": "4927370"}, {"ref": "redfoongus/ieee-simple-eda-and-lightgbm-r", "kernel_id": "4867988"}, {"ref": "trolukovich/univariate-eda-with-seaborn", "kernel_id": "4984259"}, {"ref": "virajbagal/feature-selection-using-null-importance", "kernel_id": "4997304"}, {"ref": "virajbagal/ieee-complete-eda-of-all-features", "kernel_id": "4836759"}, {"ref": "virajbagal/ieee-eda-dropping-cols-and-xgb-with-earlystopping", "kernel_id": "4855615"}, {"ref": "jesucristo/fraud-complete-eda", "kernel_id": "4832163"}, {"ref": "terminate9298/ieee-fraud-baseline", "kernel_id": "4878932"}, {"ref": "sanjusci/ieee-cis-fraud-detection", "kernel_id": "4985159"}, {"ref": "hbquoc29/eda-and-models-5e0d92", "kernel_id": "4932518"}, {"ref": "takedown/starter-code-fraud-detection", "kernel_id": "4847372"}, {"ref": "jogin213/fork-of-kernelf1af6ba42c-ac59aa", "kernel_id": "4990025"}, {"ref": "aaaanhnht/lazy-eda-isfraud-distributions", "kernel_id": "4965051"}, {"ref": "chocolapple/reducing-memory-function-explanation", "kernel_id": "4977978"}, {"ref": "makalesta2/fraud-detection-randomforest", "kernel_id": "4868332"}, {"ref": "a18974761777/kernel38a9909bae", "kernel_id": "4960679"}, {"ref": "smerllo/identify-unique-cards-id", "kernel_id": "4954307"}, {"ref": "smerllo/lgbm-baseline-features-importance", "kernel_id": "4831695"}, {"ref": "celestialbeing/ieee-fraud-detection-via-xgboost-remake", "kernel_id": "4979288"}, {"ref": "jolasa/stacking-higher-every-time-0-9427", "kernel_id": "4951943"}, {"ref": "firmai/firmai-20-of-data-used", "kernel_id": "4977256"}, {"ref": "aleksthegreat/keras-t-sne", "kernel_id": "5698646"}, {"ref": "jeongyoonlee/kaggler-s-autolgb", "kernel_id": "5169456"}, {"ref": "ruhong/ieee-fraud-detection-preprocess", "kernel_id": "5727436"}, {"ref": "ruhong/ieee-fraud-detection-keras", "kernel_id": "5864943"}, {"ref": "ruhong/ieee-fraud-detection-rf", "kernel_id": "5745276"}, {"ref": "ruhong/ieee-fraud-detection-blend", "kernel_id": "5748066"}, {"ref": "ruhong/ieee-fraud-detection-rf-leafwise", "kernel_id": "5748119"}, {"ref": "ruhong/ieee-fraud-detection-logistic", "kernel_id": "5742113"}, {"ref": "ruhong/ieee-fraud-detection-lgb", "kernel_id": "5734818"}, {"ref": "ruhong/ieee-fraud-detection-et", "kernel_id": "5754919"}, {"ref": "ruhong/ieee-fraud-detection-et-leafwise", "kernel_id": "5755109"}, {"ref": "ruhong/ieee-fraud-detection-adab", "kernel_id": "5755505"}, {"ref": "ruhong/ieee-fraud-detection-xgb", "kernel_id": "5756660"}, {"ref": "superant/categorical-map", "kernel_id": "5085130"}, {"ref": "superant/eda-loop", "kernel_id": "5132263"}, {"ref": "superant/color-of-fraud", "kernel_id": "5056320"}, {"ref": "superant/golden-tree-tune", "kernel_id": "5553825"}, {"ref": "abhikjha/ieee-fraud-detection-eda-fastai-models", "kernel_id": "5801587"}, {"ref": "ramasah/ieee-xgboost-hyperparameter-tuning", "kernel_id": "5033581"}, {"ref": "yosefrahimi/ieee-cis-fraud-detection-yosef", "kernel_id": "5865589"}, {"ref": "jakubczakon/run-repo-in-kernel", "kernel_id": "5075383"}, {"ref": "jakubczakon/running-code-from-github-in-kernels", "kernel_id": "5098048"}, {"ref": "wti200/xgboost-and-class-imbalance", "kernel_id": "5227105"}, {"ref": "wti200/xgboost-with-binning-and-imputaion", "kernel_id": "5037399"}, {"ref": "gauravdhama11/catboost-and-eda", "kernel_id": "5889383"}, {"ref": "priteshshrivastava/ieee-cis-blend", "kernel_id": "5604824"}, {"ref": "priteshshrivastava/ieee-pipeline-2-b-model-b-random-forest", "kernel_id": "5727007"}, {"ref": "priteshshrivastava/ieee-pipeline-2-c-model-c-xgboost", "kernel_id": "5729407"}, {"ref": "priteshshrivastava/ieee-pipeline-0-reduce-memory-size", "kernel_id": "5721373"}, {"ref": "priteshshrivastava/ieee-pipeline-2-a-model-a-catboost-feat-sel", "kernel_id": "5726178"}, {"ref": "priteshshrivastava/ieee-pipeline-3-stacking-with-meta-model", "kernel_id": "5726302"}, {"ref": "scirpus/50-features-with-target-encoding", "kernel_id": "5803113"}, {"ref": "scirpus/a-wee-bit-of-stats", "kernel_id": "5604127"}, {"ref": "scirpus/50-parameters-with-frequency-analysis", "kernel_id": "5871427"}, {"ref": "scirpus/what-happened", "kernel_id": "5589358"}, {"ref": "ayusov/lightgbm-native-cat-support", "kernel_id": "5608494"}, {"ref": "stocks/u2-can-be-a-winner", "kernel_id": "5024946"}, {"ref": "zahid1/lgbm-scale-pos-weight", "kernel_id": "5867504"}, {"ref": "chdhatri/cis-fraud-detection", "kernel_id": "5745220"}, {"ref": "nanditab35/ieee-fraud-detection-feature-reduction", "kernel_id": "5239790"}, {"ref": "nanditab35/ieee-fraud-detect-eda", "kernel_id": "5484010"}, {"ref": "nanditab35/ieee-fraud-combine-2models-regression", "kernel_id": "5968221"}, {"ref": "jtrotman/ieee-fraud-time-series-heatmaps", "kernel_id": "5594140"}, {"ref": "jtrotman/ieee-fraud-lgb-split-points", "kernel_id": "5865133"}, {"ref": "ys19931006/ieee-infernal-blend", "kernel_id": "5655264"}, {"ref": "kirankunapuli/ieee-fraud-lightgbm-with-gpu", "kernel_id": "5095465"}, {"ref": "kirankunapuli/ieee-fraud-stacknet-on-gpu-lgb-xgb-cb", "kernel_id": "5120257"}, {"ref": "abednadir/best-r-score", "kernel_id": "5535677"}, {"ref": "akasyanama13/eda-what-s-behind-d-features", "kernel_id": "5725051"}, {"ref": "raddar/adversarial-ieee", "kernel_id": "5923363"}, {"ref": "yoongkang/beginner-s-random-forest-example", "kernel_id": "5171279"}, {"ref": "yoongkang/beginner-memory-reduction-techniques", "kernel_id": "5166123"}, {"ref": "gautham11/catboost-xgboost-lightgbm-ensemble", "kernel_id": "5838723"}, {"ref": "alexgomes3/fraud-detection-dataprep", "kernel_id": "5897073"}, {"ref": "alexgomes3/fraud-detection-0-dataprep", "kernel_id": "5952043"}, {"ref": "whitebird/a-method-to-valid-offline-lb-9506", "kernel_id": "5823071"}, {"ref": "whitebird/ieee-internal-blend", "kernel_id": "5686525"}, {"ref": "marcocarnini/building-a-first-model", "kernel_id": "5125677"}, {"ref": "paulorzp/gmean-of-light-gbm-models-lb-0-951x", "kernel_id": "5372311"}, {"ref": "paulorzp/gmean-of-low-correlation-lb-0-952x", "kernel_id": "5695133"}, {"ref": "georsara1/d15-seems-important-remove-it", "kernel_id": "5293161"}, {"ref": "zeus75/easy-blending", "kernel_id": "5902447"}, {"ref": "cyberia/eda-logisticreg", "kernel_id": "5660394"}, {"ref": "cyberia/joined-id-tr", "kernel_id": "5757564"}, {"ref": "cyberia/heatmaps-contingency-tabs", "kernel_id": "5743043"}, {"ref": "igauty/gmean-of-light-gbm-models-lb-0-9484", "kernel_id": "5563055"}, {"ref": "tharug/ieee-fraud-detection", "kernel_id": "5612248"}, {"ref": "bhavesh09/by-product", "kernel_id": "5876536"}, {"ref": "med92amine/keras-ensure-class-balenced-batches-while-training", "kernel_id": "5454256"}, {"ref": "kamaljain77/cis-fraud-detection-gmean", "kernel_id": "5902867"}, {"ref": "kamaljain77/cis-fraud-detection-using-transaction-columns", "kernel_id": "5903229"}, {"ref": "mshahabi/ieee-fraud-randomforrest-eda", "kernel_id": "5478403"}, {"ref": "iggisv9t/search-data-hidden-structure-with-autoencoder", "kernel_id": "5830926"}, {"ref": "timon88/lgbm-baseline-small-fe-no-blend", "kernel_id": "5226084"}, {"ref": "dhakshiin1601/2-data-minifaction", "kernel_id": "5777040"}, {"ref": "purudataminer/let-s-predict-fraud-in-c-with-93-auc", "kernel_id": "5102198"}, {"ref": "kingychiu/adversarial-validation-on-ieee-fe-with-some-eda", "kernel_id": "5783815"}, {"ref": "somnambwl/automatic-adversarial-validation", "kernel_id": "5956910"}, {"ref": "somnambwl/ieee-the-most-basic-preprocessing", "kernel_id": "5956974"}, {"ref": "laurencelin/xgboost-and-eda", "kernel_id": "5273522"}, {"ref": "sijiahuang/ieee-cis-fraud-detection", "kernel_id": "5218096"}, {"ref": "haataa/complete-eda-with-background-knowledge", "kernel_id": "5475520"}, {"ref": "woaisxxd/keras-nn-starter-shuffle-split", "kernel_id": "5240378"}, {"ref": "gpreda/ieee-cis-fraud-detection-eda-model", "kernel_id": "5928374"}, {"ref": "naikparag/simple-xgb-fraud-detection", "kernel_id": "5814118"}, {"ref": "rodgomrod/very-simple-nn-in-pytorch-with-sparsetensor", "kernel_id": "5469108"}, {"ref": "robinchao/ensemble-lightgbm-xgboost", "kernel_id": "5837135"}, {"ref": "a45632/ieee-fastai-v4", "kernel_id": "5202609"}, {"ref": "ananthreddy/ensemble-algorithms", "kernel_id": "5914401"}, {"ref": "ananthreddy/catching-the-frauds-lgbm-smote", "kernel_id": "5909458"}, {"ref": "nicapotato/gpyopt-gpu-xgb", "kernel_id": "5286714"}, {"ref": "nicapotato/gpyopt-hyperparameter-optimisation-gpu-lgbm", "kernel_id": "5181148"}, {"ref": "nicapotato/tree-split-feature-selection-lgbm-gpu-earlystop", "kernel_id": "5042618"}, {"ref": "nicapotato/auc-performance-vs-training-size-gpu-catboost", "kernel_id": "5025045"}, {"ref": "ljjblackpig/3-steps-to-reduce-memory-size-for-the-dataset", "kernel_id": "5030891"}, {"ref": "ioohooi/eda-modeling-post-models-analysis-are-ongoing", "kernel_id": "5545252"}, {"ref": "karthikcs1/ieee-cis-fraud-detection", "kernel_id": "5793689"}, {"ref": "joaopcnogueira/rf-tscv-5-folds", "kernel_id": "5025116"}, {"ref": "inspi101/frauddetection", "kernel_id": "5702126"}, {"ref": "sheriytm/standalone-train-and-test-preprocessing", "kernel_id": "5938434"}, {"ref": "raulml1981/ieee-an-lisis-exploratorio", "kernel_id": "5044262"}, {"ref": "plarmuseau/what-if-we-focus-on-the-user", "kernel_id": "5733395"}, {"ref": "shubham219/basic-eda", "kernel_id": "5268940"}, {"ref": "gisbee/comparing-different-validation-split-strategies", "kernel_id": "5247668"}, {"ref": "grazder/filling-card-nans", "kernel_id": "5606374"}, {"ref": "wajihullahbaig/blockwisetimeseries", "kernel_id": "5158046"}, {"ref": "wajihullahbaig/up-sampling-on-every-hour", "kernel_id": "5054241"}, {"ref": "govoruha/only-data-from-train-transaction", "kernel_id": "5567540"}, {"ref": "govoruha/v-vars-dimension-reduction-and-no-identity", "kernel_id": "5731433"}, {"ref": "bootiu/eda-ieee-cis", "kernel_id": "5236631"}, {"ref": "bootiu/simple-lightgbm-ieee-cis", "kernel_id": "5225539"}, {"ref": "haylmg/periodicity-in-transactions", "kernel_id": "5966487"}, {"ref": "ryches/keras-nn-autoencoder", "kernel_id": "5480006"}, {"ref": "ryches/keras-nn-starter-w-time-series-split", "kernel_id": "5165903"}, {"ref": "ryches/keras-nn-starter-shuffle-split", "kernel_id": "5201533"}, {"ref": "ryches/forecasting-fraud-with-prophet", "kernel_id": "5605729"}, {"ref": "andrew60909/lgb-starter-r", "kernel_id": "5217266"}, {"ref": "daviddobr/fastai-2019-functional-tabular-template", "kernel_id": "5382036"}, {"ref": "rsmits/keras-cnn-1d-fraud-detector", "kernel_id": "5926374"}, {"ref": "alexgeiger/v-features", "kernel_id": "5643443"}, {"ref": "tony321/almost-all-devices-info-usage-with-web-scraping", "kernel_id": "5281994"}, {"ref": "kabure/almost-complete-feature-engineering-ieee-data", "kernel_id": "5107240"}, {"ref": "roshantanisha/simple-easy-features", "kernel_id": "5982935"}, {"ref": "jacksmengel/fraud-detection", "kernel_id": "5388159"}, {"ref": "kausik123/fraud-detection", "kernel_id": "5369224"}, {"ref": "pradeepmuniasamy/extensive-eda-fe-models-ieee-fraud-detection", "kernel_id": "5674952"}, {"ref": "aussie84/time-series-eda-of-fraud-variables", "kernel_id": "5601737"}, {"ref": "aussie84/quick-xgb-model-diagnostics", "kernel_id": "5656703"}, {"ref": "notayushxd/ieee-competition-kaggle", "kernel_id": "5056388"}, {"ref": "jiaofenx/ieee-cis-fraud-detection", "kernel_id": "5651037"}, {"ref": "tuttifrutti/creating-features-from-d-columns-guessing-userid", "kernel_id": "5890398"}, {"ref": "ebouteillon/dating-dataset-creation-with-a-browser", "kernel_id": "5683159"}, {"ref": "nicktg/an-intro-to-automunge", "kernel_id": "5649241"}, {"ref": "rajeshcv/unique-card-identifier-features-from-c-d-columns", "kernel_id": "5568018"}, {"ref": "rajeshcv/features-based-on-nulls-and-lgbm-model", "kernel_id": "5413740"}, {"ref": "rajeshcv/understanding-v-columns", "kernel_id": "5611980"}, {"ref": "jaehyeongan/ieee-fraud-detection-lightgbm-0-938", "kernel_id": "5880835"}, {"ref": "timdzh93/catboost-baseline-with-correlated-features-filter", "kernel_id": "5524800"}, {"ref": "luisfredgs/ieee-cis-fraud-detection-catboost", "kernel_id": "5274636"}, {"ref": "micmia/ieee-cis-fraud-detection-with-xgboost-in-r", "kernel_id": "5555241"}, {"ref": "ahmadnasereddin/frauddetectionprep", "kernel_id": "5951626"}, {"ref": "ragnar123/e-d-a-and-baseline-mix-lgbm", "kernel_id": "5795002"}, {"ref": "maherdeebcv/ml-navigator-standardizes-knowledge-exchange", "kernel_id": "5755111"}, {"ref": "mreeb2/ieee-python", "kernel_id": "5089910"}, {"ref": "returnofsputnik/fe-on-d-columns", "kernel_id": "5774002"}, {"ref": "toto07/modeling-xgb-hyperopt-submit-test", "kernel_id": "5220228"}, {"ref": "alexandrerays/simple-logistic-regression-baseline", "kernel_id": "5808962"}, {"ref": "sagar100rathod/ready-pickeled-data-set-of-reduced-size", "kernel_id": "5295317"}, {"ref": "marcushorn/sklearn-random-forest-visualizations", "kernel_id": "5772118"}, {"ref": "filemide/ieee-cv-options", "kernel_id": "5598988"}, {"ref": "filemide/parasitism-of-fraud-t-sne-pca", "kernel_id": "5862465"}, {"ref": "alexeykupershtokh/concat-dataframes", "kernel_id": "5837343"}, {"ref": "alexeykupershtokh/safe-memory-reduction", "kernel_id": "5837012"}, {"ref": "jasonbian/2-fold-lgb-with-extensive-fe", "kernel_id": "5326581"}, {"ref": "jasonbian/lgb-5-fold", "kernel_id": "5425081"}, {"ref": "gk5894/xgboost-with-optimized-parameters", "kernel_id": "5978673"}, {"ref": "hatunina/ieee-fraud-detection-v-columns-fe", "kernel_id": "5913155"}, {"ref": "tarunpaparaju/ieee-cis-competition-fresh-eda-and-modeling", "kernel_id": "5705301"}, {"ref": "tarunpaparaju/ieee-cis-competition-how-to-survive-the-shakeup", "kernel_id": "5828739"}, {"ref": "suoires1/fraud-detection-eda-and-modeling", "kernel_id": "5607961"}, {"ref": "suoires1/ieee-boruta-feature-elimination", "kernel_id": "5646021"}, {"ref": "anuraglal1/ieee-fraud-detection-1", "kernel_id": "5057266"}, {"ref": "viswajithkn/fraud-detection", "kernel_id": "5007479"}, {"ref": "prateek91/estimator", "kernel_id": "5220756"}, {"ref": "plasticgrammer/ieee-cis-fraud-detection-gbdt", "kernel_id": "5594359"}, {"ref": "plasticgrammer/ieee-cis-fraud-detection-eda", "kernel_id": "5185061"}, {"ref": "zollkron/lightgbm-fe-imps-3folds-exec-time-34-aprox-0-938", "kernel_id": "5919474"}, {"ref": "raghaw/ensemble-on-fire", "kernel_id": "5087706"}, {"ref": "pavelvpster/ieee-fraud-feature-aggregates", "kernel_id": "5474183"}, {"ref": "pavelvpster/ieee-fraud-feature-selection-rfecv", "kernel_id": "5268051"}, {"ref": "pavelvpster/ieee-fraud-features-interaction", "kernel_id": "5235447"}, {"ref": "anshulgupta96/kernel1c20173d51", "kernel_id": "5728218"}, {"ref": "kulsumsiddique/eda-ieee-cis", "kernel_id": "5650958"}, {"ref": "aliakay8/mixed-kernel-ieee-miss-val-fea-eng-base-models", "kernel_id": "5669243"}, {"ref": "sarmat/lgbm-permutation-importance", "kernel_id": "5809658"}, {"ref": "yyyzzzwww/recursive-feature-elimination", "kernel_id": "5306828"}, {"ref": "deeplearn1/logistic-learning", "kernel_id": "5823473"}, {"ref": "deeplearn1/logistic-kfold", "kernel_id": "5833026"}, {"ref": "madagasygirl/simple-xgboost-with-no-nas", "kernel_id": "5197538"}, {"ref": "xwxw2929/which-one-is-the-best", "kernel_id": "5805686"}, {"ref": "xwxw2929/lgb-kfold-newfeatures", "kernel_id": "5824311"}, {"ref": "xwxw2929/lgb-kfold", "kernel_id": "5788922"}, {"ref": "xwxw2929/xgb-kfold", "kernel_id": "5794691"}, {"ref": "xwxw2929/catboost-kfold", "kernel_id": "5795851"}, {"ref": "xwxw2929/data-preparation", "kernel_id": "5968190"}, {"ref": "xwxw2929/model-training", "kernel_id": "5989616"}, {"ref": "teresascholz/reduced-memory-pickles", "kernel_id": "5956422"}, {"ref": "nikhilbalwani/fraud-detection-xgb", "kernel_id": "5816131"}, {"ref": "patilsumeetv/ieee-fraud-detection-lightgbm-baseline", "kernel_id": "5160211"}, {"ref": "mhviraf/why-i-wouldn-t-use-reduce-mem-usage", "kernel_id": "5063944"}, {"ref": "mhviraf/reducing-memory-size-an-alternative", "kernel_id": "5061530"}, {"ref": "eligijus/lgb-boosting-using-a-custom-pipeline", "kernel_id": "5624008"}, {"ref": "pipboyguy/smooth-like-peanut-butter-ieee", "kernel_id": "5883468"}, {"ref": "pipboyguy/catboost-and-eda", "kernel_id": "5376087"}, {"ref": "yokotani/ieee-fraud-detection-feature-engineering", "kernel_id": "5916577"}, {"ref": "ratan123/lgb-data-augmentation-starter", "kernel_id": "5125964"}, {"ref": "mahoto0523/frauddetectionscript", "kernel_id": "5117441"}, {"ref": "orianao/kernel3b4ba15f54", "kernel_id": "5834749"}, {"ref": "nroman/tracking-experiments-with-neptune", "kernel_id": "5060731"}, {"ref": "nroman/recursive-feature-elimination", "kernel_id": "5124088"}, {"ref": "nroman/lgb-single-model-lb-0-9419", "kernel_id": "5098518"}, {"ref": "abazdyrev/keras-nn-focal-loss-experiments", "kernel_id": "5256675"}, {"ref": "venkig/ieee-step-by-step-implementation", "kernel_id": "5614342"}, {"ref": "dymodi/ieee-cis-fraud-detection", "kernel_id": "5700554"}, {"ref": "yottan/ieee-test", "kernel_id": "5547453"}, {"ref": "ajaykgp12/ieee-catboost", "kernel_id": "5207209"}, {"ref": "nikhilkasturi/lightgbm-top-features-94-38", "kernel_id": "5593306"}, {"ref": "lucasgiutavares/ieee-validation", "kernel_id": "5529955"}, {"ref": "zikazika/should-you-care-about-imputations", "kernel_id": "5372476"}, {"ref": "zikazika/could-we-predict-fraud-solely-based-on-nan", "kernel_id": "5563932"}, {"ref": "muhakabartay/ieee-push-0-9530-all-weighted", "kernel_id": "5854330"}, {"ref": "muhakabartay/g-mean-model-stacking", "kernel_id": "5781030"}, {"ref": "muhakabartay/0-8518-what-proper-weights-give-ieee-int-blend", "kernel_id": "5621252"}, {"ref": "a03102030/eda-for-train-data-and-lgbm-lr", "kernel_id": "5749368"}, {"ref": "ankitsharmas/cis-fraud-detection-in-r", "kernel_id": "5614223"}, {"ref": "knightwisdom/ieee-simple-eda", "kernel_id": "5196040"}, {"ref": "gyani78/top-10-question-s-answer-by-eda-ieee-fraud", "kernel_id": "5123375"}, {"ref": "fferrero/pondered-prediction-v3", "kernel_id": "5693883"}, {"ref": "tboyle10/00-ieee-cis-fraud-detection-eda", "kernel_id": "5724883"}, {"ref": "roydatascience/bayesian-optimization-for-tuning-hyper-parameters", "kernel_id": "5315840"}, {"ref": "roydatascience/ieee-fraud-detection-aggregating-lightgbm-models", "kernel_id": "5182119"}, {"ref": "roydatascience/light-gbm-with-complete-eda", "kernel_id": "5153294"}, {"ref": "kartikathale/fraud-detection-eda-basic-logistic-regression", "kernel_id": "5741302"}, {"ref": "themonologue/higher-aggregation-best-kernel-score-0-9471", "kernel_id": "5335643"}, {"ref": "zakrea/a-neural-network-approach-for-fraud-detection", "kernel_id": "5233257"}, {"ref": "carlolepelaars/ensembling-with-stacknet", "kernel_id": "5333769"}, {"ref": "swarupghad/kernel5baa1a445e", "kernel_id": "5487485"}, {"ref": "errolpereira/ieee-fraud-detection-eda", "kernel_id": "5817071"}, {"ref": "errolpereira/lgbm-blend", "kernel_id": "5803014"}, {"ref": "errolpereira/exploring-identity-dataset", "kernel_id": "5838976"}, {"ref": "peterbon/ieeecs", "kernel_id": "5169704"}, {"ref": "l16phill/final-submission", "kernel_id": "5427199"}, {"ref": "jacobgreen4477/9519-normal", "kernel_id": "5888697"}, {"ref": "navneetkr123/ieee-fraud-play-with-count-lightgbm", "kernel_id": "5892310"}, {"ref": "lviola/ieee-simple-xgboost-w-outliers-feature", "kernel_id": "5672529"}, {"ref": "jobzhf88/ieee-train", "kernel_id": "5666422"}, {"ref": "frabbisw/gmean-of-low-correlation-lb-0-9527", "kernel_id": "5861768"}, {"ref": "nickthegreek82/fraud-detection", "kernel_id": "5739650"}, {"ref": "mishra5001/improvise-fraud-detection", "kernel_id": "5036803"}, {"ref": "gordtwo/ieee-baseline", "kernel_id": "5490370"}, {"ref": "davidcairuz/feature-engineering-lightgbm", "kernel_id": "5247025"}, {"ref": "grantgasser/fraud-detection", "kernel_id": "5047201"}, {"ref": "pankajsoni12/ieee-cis-fraud-detection-notebook", "kernel_id": "5743299"}, {"ref": "zzerozz/folk-ieee-lgb-bayesian-opt", "kernel_id": "5171412"}, {"ref": "sundaramoorthyks/base-model-level-0", "kernel_id": "5668032"}, {"ref": "sundaramoorthyks/eda-feature-engineering", "kernel_id": "5349158"}, {"ref": "xwhuaduo/reduce-memory-usage-by-64-before-analysis", "kernel_id": "5576233"}, {"ref": "nolank/internal-blend-0-9525", "kernel_id": "5710528"}, {"ref": "jrw2200/ieee-cis-fraud-detection", "kernel_id": "5683419"}, {"ref": "cpicon/data-exp", "kernel_id": "5731262"}, {"ref": "steboss/flavour-of-autoencoder-0-0", "kernel_id": "5461598"}, {"ref": "steboss/keras-nn-autoencoder", "kernel_id": "5545422"}, {"ref": "darshanpatel11/iee-fraud-detection", "kernel_id": "5885025"}, {"ref": "augustinechang/ieee1", "kernel_id": "5659181"}, {"ref": "tolgahancepel/lightgbm-single-model-and-feature-engineering", "kernel_id": "5899155"}, {"ref": "dunaizhuan/no-fe-baseline", "kernel_id": "5735792"}, {"ref": "dunaizhuan/ieee-v-columns-pv", "kernel_id": "5841756"}, {"ref": "dunaizhuan/test-on-timesplit", "kernel_id": "5667054"}, {"ref": "dunaizhuan/myeda", "kernel_id": "5566489"}, {"ref": "wodlfrh/baseline-wt-useful-feature", "kernel_id": "5885426"}, {"ref": "vignesh1609/fraud-detection-model", "kernel_id": "5927321"}, {"ref": "drexpz/ieee-xgboost-baseline-feature-import-0-92x", "kernel_id": "5545872"}, {"ref": "shinpete/kernel397251a321", "kernel_id": "5924773"}, {"ref": "jonathanxlee/fraud-detection-kaggle", "kernel_id": "5270617"}, {"ref": "tanyildizderya/ieee-exploratory-data-analysis", "kernel_id": "5221036"}, {"ref": "ttunjic/eda-fraud-detection", "kernel_id": "5644513"}, {"ref": "yw6916/lgb-xgb-ensemble-stacking-based-on-fea-eng", "kernel_id": "5287572"}, {"ref": "fchmiel/fe-counting-duplicate-transactions", "kernel_id": "5451491"}, {"ref": "atikahamed/cis-fraud-detection", "kernel_id": "5749624"}, {"ref": "kimchiwoong/simple-eda-ensemble-for-xgboost-and-lgbm", "kernel_id": "5685240"}, {"ref": "kimchiwoong/simple-fast-check-xgboost-prediction-performance", "kernel_id": "5521251"}, {"ref": "rimon57/fraudster-with-light-gbm", "kernel_id": "5815668"}, {"ref": "kyakovlev/ieee-cv-options-with-gap", "kernel_id": "5480420"}, {"ref": "kyakovlev/ieee-experimental", "kernel_id": "5464235"}, {"ref": "kyakovlev/ieee-cv-options", "kernel_id": "5470928"}, {"ref": "kyakovlev/ieee-fe-with-some-eda", "kernel_id": "5547986"}, {"ref": "kyakovlev/ieee-internal-blend", "kernel_id": "5582867"}, {"ref": "kyakovlev/ieee-small-tricks", "kernel_id": "5586730"}, {"ref": "kyakovlev/ieee-fe-for-local-test", "kernel_id": "5572887"}, {"ref": "kyakovlev/ieee-simple-lgbm", "kernel_id": "5572180"}, {"ref": "kyakovlev/ieee-check-noise", "kernel_id": "5337513"}, {"ref": "kyakovlev/ieee-gb-2-make-amount-useful-again", "kernel_id": "5317504"}, {"ref": "kyakovlev/ieee-ground-baseline-make-amount-useful-again", "kernel_id": "5317263"}, {"ref": "kyakovlev/ieee-ground-baseline-deeper-learning", "kernel_id": "5316920"}, {"ref": "kyakovlev/ieee-ground-baseline", "kernel_id": "5316345"}, {"ref": "kyakovlev/ieee-data-minification", "kernel_id": "5314990"}, {"ref": "kyakovlev/ieee-hour-solo-feature", "kernel_id": "5777365"}, {"ref": "kyakovlev/ieee-v-columns-pv", "kernel_id": "5768080"}, {"ref": "kyakovlev/ieee-data-minification-private", "kernel_id": "5800222"}, {"ref": "kyakovlev/ieee-card1-card6", "kernel_id": "5796019"}, {"ref": "kyakovlev/ieee-columns-scaling", "kernel_id": "5653540"}, {"ref": "kyakovlev/ieee-catboost-baseline-with-groupkfold-cv", "kernel_id": "5618684"}, {"ref": "kyakovlev/ieee-lgbm-with-groupkfold-cv", "kernel_id": "5594631"}, {"ref": "yangam/kernel1a76f4bb95", "kernel_id": "5292134"}, {"ref": "musti12/fraud-analysis", "kernel_id": "5124881"}, {"ref": "rafay12/is-it-really-fraud", "kernel_id": "5841049"}, {"ref": "duykhanh99/lightgbm-feature-engineering-eda-with-r", "kernel_id": "5409083"}, {"ref": "duykhanh99/lightgbm-starter-with-r-0-9493-lb", "kernel_id": "5221462"}, {"ref": "duykhanh99/lgb-fe-0-9492-lb-newfeature-0-9496-lb", "kernel_id": "5237923"}, {"ref": "caprabianca/ieee-comp-identity-transaction-datasets", "kernel_id": "5349388"}, {"ref": "mohdsohaib/nn-for-beginners", "kernel_id": "5160565"}, {"ref": "coolsciguy/xgboost-randomizedsearch-with-gpu-a-tutorial", "kernel_id": "5318015"}, {"ref": "cnicault/ieee-fraud-detection-eda", "kernel_id": "5845956"}, {"ref": "caneiro/ieee-fraud-detection-eda-v1", "kernel_id": "5015206"}, {"ref": "baghirli/ieee-fraud-detection-fe-lightgbm-lb-0-929", "kernel_id": "5706030"}, {"ref": "moonlight314/baseline-model-of-ieee-cis-fraud-detection", "kernel_id": "5145432"}, {"ref": "jazmad/developing-an-understanding-of-the-data", "kernel_id": "5531653"}, {"ref": "denkimagic/remake-eda-and-models", "kernel_id": "5879132"}, {"ref": "denkimagic/kernel2320531053", "kernel_id": "5840206"}, {"ref": "possiblemanjr/making-cents", "kernel_id": "5905206"}, {"ref": "vaishvik25/ieee-exploratory-data-analysis", "kernel_id": "5158758"}, {"ref": "sandeepksb/ieee-cis-fraud-detection", "kernel_id": "5053038"}, {"ref": "holenwu/interesting-findings-in-the-d-features", "kernel_id": "5932018"}, {"ref": "nirite/need-help-with-tensorflow-kernel-public", "kernel_id": "5023295"}, {"ref": "himaoka/rough-data-cleaning-and-prediction", "kernel_id": "5802801"}, {"ref": "trolukovich/vxxx-features-eda", "kernel_id": "5265093"}, {"ref": "trolukovich/comprehensive-data-size-optimization-guide", "kernel_id": "5456975"}, {"ref": "slivka83/plotly-eda", "kernel_id": "5439316"}, {"ref": "imvignesh/ieee-fraud-attempt-with-tpot-automl-beginner-ds", "kernel_id": "5066399"}, {"ref": "plsjlq/ieee-cis-fraud-detection-test-a-no-fraud", "kernel_id": "5467574"}, {"ref": "silantev/vesta-does-0-s-in-cxx-features-mean-nan", "kernel_id": "5686223"}, {"ref": "gunesevitan/ieee-cis-fraud-detection-dependency-check", "kernel_id": "5945210"}, {"ref": "gunesevitan/ieee-cis-fraud-detection-lightgbm", "kernel_id": "5423072"}, {"ref": "adldotori/fraud-detection-eda", "kernel_id": "5298334"}, {"ref": "jaylaksh94/fraud-detection", "kernel_id": "5957997"}, {"ref": "virajbagal/distance-between-importances", "kernel_id": "5042619"}, {"ref": "hemantdata/trail-1", "kernel_id": "5877343"}, {"ref": "tanmayi/fraud1", "kernel_id": "5868839"}, {"ref": "misclassifi3d/starter-kernel", "kernel_id": "5108166"}, {"ref": "gerwynng/feature-selection-with-l1-l2-rff", "kernel_id": "5928670"}, {"ref": "abhishek9599/fraud", "kernel_id": "5873890"}, {"ref": "kimjihoo/all-in-one-for-ieee-cis-fraud-detection-korean", "kernel_id": "5603804"}, {"ref": "satyadhyan/simple-kernel-for-fraud-detection", "kernel_id": "5867363"}, {"ref": "yuxuanj320/review1-infrastructure", "kernel_id": "5812741"}, {"ref": "raxtemur/ieee-eda-time", "kernel_id": "5899872"}, {"ref": "raxtemur/ieee-eda-transactionamt", "kernel_id": "5922396"}, {"ref": "krishna8ds/ieee-fraud-detection-for-beginner-s", "kernel_id": "5727020"}, {"ref": "corbbb1111/a-basic-logistic-model-for-fraud-detection-comp", "kernel_id": "5421870"}, {"ref": "yuewangmoophy/fraud-detection-random-forest", "kernel_id": "5463797"}, {"ref": "yuewangmoophy/fraud-detection-xgboost", "kernel_id": "5469356"}, {"ref": "yuewangmoophy/fraud-detection-adaboost", "kernel_id": "5465840"}, {"ref": "yuewangmoophy/fraud-detection-majority-voting", "kernel_id": "5478723"}, {"ref": "pablocanovas/exploratory-analysis-tidyverse", "kernel_id": "5070791"}, {"ref": "mubasharnazarawan/cis-fraud-detection", "kernel_id": "5612619"}, {"ref": "osprangers/parallel-pandas-dataframe-memory-optimization", "kernel_id": "5455024"}, {"ref": "kaledata/fraud-detection", "kernel_id": "5653748"}, {"ref": "dinu1763/ieee-fraud-detection", "kernel_id": "5458986"}, {"ref": "amanacden/fraud-detection", "kernel_id": "5760161"}, {"ref": "ashleshaprix/kernel3ddf40385d", "kernel_id": "5714918"}, {"ref": "utiancarter/minimalist-lightgbm", "kernel_id": "5290440"}, {"ref": "utiancarter/feature-engineered-lightgbm", "kernel_id": "5802028"}, {"ref": "datajang/ieee-eda", "kernel_id": "5173555"}, {"ref": "syumei/fraud-detection-using-a-neural-autoencoder", "kernel_id": "5383275"}, {"ref": "gmannella/eda-focused-on-finding-correlation-with-isfraud", "kernel_id": "5553934"}, {"ref": "rohan9889/best-params-lightgbm-ieee-fraud", "kernel_id": "5951860"}, {"ref": "rohan9889/final-submission-ieee-fraud", "kernel_id": "5952274"}, {"ref": "rohan9889/minify-feature-engineering-ieee-fraud", "kernel_id": "5950770"}, {"ref": "jolly2136/fe-xgb", "kernel_id": "5244347"}, {"ref": "mohammadeslim/kernel48c73d1a3d", "kernel_id": "5677936"}, {"ref": "mohammadeslim/kernel634d9da253", "kernel_id": "5686559"}, {"ref": "mohammadeslim/kernel24ec824421", "kernel_id": "5730259"}, {"ref": "ramonboucas/ramon-pr-processamento-id", "kernel_id": "5351065"}, {"ref": "lluissalord/fraud-detection-catboost-and-bayesian-search", "kernel_id": "5914690"}, {"ref": "satyakapoor/ieee-fraud-detection-eda", "kernel_id": "5577975"}, {"ref": "harshitt21/ieee-cis-fraud-detection", "kernel_id": "5662673"}, {"ref": "krishonaveen/xtreme-boost-and-feature-engineering", "kernel_id": "5282513"}, {"ref": "jt120lz/simple-lr", "kernel_id": "5973793"}, {"ref": "jt120lz/vxxx-importance", "kernel_id": "5939150"}, {"ref": "kulkarnivishwanath/ieee-cis-fraud-detection", "kernel_id": "5755487"}, {"ref": "makin119/ieee-fraud-detection-novice", "kernel_id": "5775312"}, {"ref": "kjkr73/fraud-detection-light-gbm-and-visualizations", "kernel_id": "5726935"}, {"ref": "ggking/mixing-0-9519", "kernel_id": "5637601"}, {"ref": "himnashukumar199795/cis-fraud-detection", "kernel_id": "5343476"}, {"ref": "celibacochon/ieee-with-r", "kernel_id": "5344962"}, {"ref": "barindersingh/fraud-detection", "kernel_id": "5506934"}, {"ref": "iameleven/ieee-cis-fraud-detection-datareport-yao", "kernel_id": "5562536"}, {"ref": "bvenkatreddy/beeram", "kernel_id": "5279655"}, {"ref": "venkateshprabhug/fraud-detection", "kernel_id": "5275737"}, {"ref": "laleeth/kernel4b276dba21", "kernel_id": "5625037"}, {"ref": "frank518/install-mysql-for-eda", "kernel_id": "5779791"}, {"ref": "frank518/pre-compile-lgbm-to-save-gpu-quota", "kernel_id": "5893935"}, {"ref": "prasadkevin/extensive-eda-and-modeling-xgb-hyperopt", "kernel_id": "5349579"}, {"ref": "prasadkevin/ieee-fraud-detection", "kernel_id": "5978638"}, {"ref": "novuskazai/basic-data-analysis-kernel-for-cis-fraud-detection", "kernel_id": "5223637"}, {"ref": "ysjf13/cis-fraud-detection-visualize-feature-engineering", "kernel_id": "5250847"}, {"ref": "shadowfish/why-not-use-whether-has-identity-or-not-feature", "kernel_id": "5470388"}, {"ref": "rashmiranjan00/fraud-detection-with-xgboost", "kernel_id": "5881045"}, {"ref": "amirhmi/a-comperhensive-guide-to-fraud-detection", "kernel_id": "5563839"}, {"ref": "farzadhabibi/fraud-detection-feature-eng-selection-xgb-eda", "kernel_id": "5612879"}, {"ref": "sharkfin/kernel3235c58815", "kernel_id": "5731536"}, {"ref": "wrecked22/xgboost-tutorial", "kernel_id": "5521587"}, {"ref": "dcstang/ieee-lgbm-with-groupkfold-cv-2", "kernel_id": "5753416"}, {"ref": "jackdry/ieee-fraud-detection-exploratory-data-analysis", "kernel_id": "5316274"}, {"ref": "shalind/extensive-data-exploration-and-eda-using-sns-ieee", "kernel_id": "5611713"}, {"ref": "salahuddinemr/kernel3ce3b28d5a", "kernel_id": "5713890"}, {"ref": "ppicheta/anomaly-detection-with-autoencoders", "kernel_id": "5512632"}, {"ref": "ppicheta/ieee-fraud-category-encoders-benchmark", "kernel_id": "5586190"}, {"ref": "jzhangj/kernel5afa366333", "kernel_id": "5676715"}, {"ref": "brodzik/ieee-cis-fraud-detection", "kernel_id": "5641046"}, {"ref": "yasagure/classify-devices-device-info-usage", "kernel_id": "5264179"}, {"ref": "yasagure/id-31-data-usage-doubtful-chrome-user", "kernel_id": "5260946"}, {"ref": "yasagure/classify-country-of-addr2-addr2-usage", "kernel_id": "5275533"}, {"ref": "yasagure/fraud-makers-may-be-earnest-people-about-browser", "kernel_id": "5255100"}, {"ref": "yasagure/places-after-the-decimal-point-tell-us-a-lot", "kernel_id": "5219585"}, {"ref": "yasagure/how-do-we-treat-with-similar-columns-v319-v321", "kernel_id": "5322628"}, {"ref": "yasagure/contrive-usage-of-v-features-in-official-xgboost", "kernel_id": "5372495"}, {"ref": "realzhou/kernel7648fb513f", "kernel_id": "5994411"}, {"ref": "coolriver99/jun-test", "kernel_id": "5878794"}, {"ref": "dachawar/ieee-fraud-detection-first-look-and-e-35e79f", "kernel_id": "5235547"}, {"ref": "fluxqubit/ieee-fraud", "kernel_id": "5840952"}, {"ref": "alexishchenko/iee-cis-fraud-detection", "kernel_id": "5917286"}, {"ref": "golion/abhaygoyal-dsf", "kernel_id": "5912328"}, {"ref": "jingtying/assignment3", "kernel_id": "5890010"}, {"ref": "devonbergstrom/making-money-with-machine-learning-homework-week-3", "kernel_id": "5836608"}, {"ref": "philippsinger/blend-the-zoo-fraudsquad", "kernel_id": "6119430"}, {"ref": "philippsinger/simple-post-processing-trick-to-boost-score", "kernel_id": "6123954"}, {"ref": "dott1718/ieee-userid-proxy", "kernel_id": "6068500"}, {"ref": "mukunde/pdssc-lab-session-anomaly-detection", "kernel_id": "6333629"}, {"ref": "egolinko/dimension-reduction-and-xgboost-train", "kernel_id": "6059453"}, {"ref": "saurabh502/adversarial-validation-2019-data-science-bowl", "kernel_id": "6441928"}, {"ref": "madiyar/ieee-fraud-lightgbm-split-value-histogram", "kernel_id": "6004523"}, {"ref": "super13579/find-client-by-d1-and-card-leak-use-on-submit", "kernel_id": "6039975"}, {"ref": "akasyanama13/magic-that-worked-for-me", "kernel_id": "6064619"}, {"ref": "indranilbhattacharya/private-lb-be-like", "kernel_id": "6023684"}, {"ref": "alexanderzv/find-unique-clients", "kernel_id": "6028996"}, {"ref": "youwbpyr/ieee-catboost-9600-lb-solution", "kernel_id": "6064103"}, {"ref": "marquis08/permutation-importance-lgbm-kernel", "kernel_id": "6074974"}, {"ref": "barun2104/ieee-eda-lgb-with-r", "kernel_id": "6060336"}, {"ref": "seshurajup/leaderboard-shakeup-analysis", "kernel_id": "6063790"}, {"ref": "gpreda/ieee-cis-fraud-detection-model4", "kernel_id": "6050411"}, {"ref": "naikparag/multi-model-xgb-average-fraud-detection", "kernel_id": "6076985"}, {"ref": "keyurparalkar/ieee-cis-fraud-detection-with-fastai-submissions", "kernel_id": "6931536"}, {"ref": "govind555/ieee-eda-lgbm", "kernel_id": "6133923"}, {"ref": "sheriytm/find-client-by-d1-and-card-leak-use-on-submit", "kernel_id": "6081870"}, {"ref": "artmatician/script-for-finding-unique-card-transactions", "kernel_id": "6115963"}, {"ref": "weikai/data-preprocessing-random-forest-gbdt-xgboost", "kernel_id": "6699520"}, {"ref": "daishu/10th-submission-part-daishu", "kernel_id": "6252884"}, {"ref": "srishti280992/model-building-for-fraud-detection", "kernel_id": "6006176"}, {"ref": "kurupical/postprocess-19th-place-solution-team", "kernel_id": "6082223"}, {"ref": "tuttifrutti/find-users-multiple-cardids-from-the-same-user", "kernel_id": "6074429"}, {"ref": "tuttifrutti/isolating-a-cardid", "kernel_id": "6064487"}, {"ref": "thierryhjm/comprehensive-feature-engineering-learning", "kernel_id": "6159501"}, {"ref": "sukrullex/lightgbm-with-downsampling", "kernel_id": "6132771"}, {"ref": "jingobox/filling-nan-based-on-the-patterns", "kernel_id": "6050351"}, {"ref": "ssvitian/simpleieeehack", "kernel_id": "6198235"}, {"ref": "sishihara/ieee-decimal-point", "kernel_id": "6845450"}, {"ref": "kmezhoud/lgbm-dart-drop-75-na", "kernel_id": "6051146"}, {"ref": "oalvay/fun-feature-from-amt-and-dt", "kernel_id": "6066217"}, {"ref": "cdeotte/xgb-fraud-with-magic-0-9600", "kernel_id": "6087563"}, {"ref": "cdeotte/eda-for-columns-v-and-id", "kernel_id": "6076741"}, {"ref": "hassanamin/modelling-for-cis-fraud-detection", "kernel_id": "6859756"}, {"ref": "deepak1011/fraud-detection", "kernel_id": "6516764"}, {"ref": "hashtagkehl/kernel42b698e5e5", "kernel_id": "6321628"}, {"ref": "davidcairuz/data-1-1-the-power-of-feature-engineering", "kernel_id": "6411330"}, {"ref": "davidcairuz/data-1-2-the-power-of-feature-engineering", "kernel_id": "6443300"}, {"ref": "weifangai/a-top-100-2-solution-with-stacking-0-93", "kernel_id": "6483868"}, {"ref": "kyakovlev/ieee-uid-detection-v6", "kernel_id": "6073320"}, {"ref": "kyakovlev/ieee-basic-fe-part-1", "kernel_id": "6073766"}, {"ref": "durvesh1/kernel43376f6126", "kernel_id": "6468053"}, {"ref": "dhyeok1996/xgb-groupkfold", "kernel_id": "6022801"}, {"ref": "surananitish/tarp-neural-network", "kernel_id": "6515833"}, {"ref": "dyyalex/what-feature-we-should-create-maybe-pnn-can-do-it", "kernel_id": "6045464"}, {"ref": "nevret93/xgb-single-model-with-fe", "kernel_id": "6023314"}, {"ref": "nevret93/lgb-single-model-with-fe", "kernel_id": "6021645"}, {"ref": "yushg123/mostly-feature-selection", "kernel_id": "6055107"}, {"ref": "jirakst/ieee-fraud-detection", "kernel_id": "6120044"}, {"ref": "folderplus/some-features-and-eda-xgb-catboost-model-fyi", "kernel_id": "6023086"}, {"ref": "vishnupy/onlinetransfrauddetection-eda-hyperopt-lxgb-93-ac", "kernel_id": "6246097"}, {"ref": "zenelson/fraud-xgboost-v1", "kernel_id": "6523397"}, {"ref": "carpediemamigo/atboost-tuned-by-skopt-on-gpu-publ-0-9424", "kernel_id": "6056085"}, {"ref": "muke5hy/modeling-and-training-ieee-cis-fraud-detection", "kernel_id": "6148311"}, {"ref": "muke5hy/eda-ieee-cis-fraud-detection", "kernel_id": "6346450"}, {"ref": "titouanluciani/kernel446dd87018", "kernel_id": "6736207"}, {"ref": "anastasia484/ieee-cis-fraud-detection-first-model-w-o-eda", "kernel_id": "6094496"}, {"ref": "suecooper/tuned-xgboostclassifier", "kernel_id": "6016059"}, {"ref": "jcmiii/cc-fraud-one-hot-encoding", "kernel_id": "6470652"}, {"ref": "jcmiii/cc-fraud-email-one-hot", "kernel_id": "6612421"}, {"ref": "kleytontorikai/kaggle-fraud-detection", "kernel_id": "6864435"}, {"ref": "rikuogura/baseline-mix-lgbm-not-fillna-pos-w-27-58", "kernel_id": "6034499"}, {"ref": "rikuogura/adversarial-ieee", "kernel_id": "6038166"}, {"ref": "pramod44/fraud-detection-with-lightgbm", "kernel_id": "6530072"}, {"ref": "rebeccanbryant/fraud-detection-models", "kernel_id": "6060871"}, {"ref": "xzdatascience/eda-feature-engineering-prediction", "kernel_id": "6038494"}, {"ref": "rayan2015/ieee-fraud-feature-interactions", "kernel_id": "6018777"}, {"ref": "polmast/demin-av-eee-cis", "kernel_id": "6746392"}, {"ref": "danofer/automatic-adversarial-validation", "kernel_id": "7898898"}, {"ref": "shivamrai0/r-final-model-file", "kernel_id": "7092566"}, {"ref": "shivamrai0/r-code-team-prime", "kernel_id": "7093626"}, {"ref": "alessandrot/ml-challenge-day", "kernel_id": "7654317"}, {"ref": "keyurparalkar/fraud-detection-with-fastai-data-interpret-viz", "kernel_id": "7283624"}, {"ref": "homelesssandwich/ml-challenge-day", "kernel_id": "7652243"}, {"ref": "slatawa/first-model-submission-with-basic-eda", "kernel_id": "7971463"}, {"ref": "cdeotte/rapids-feature-engineering-fraud-0-96", "kernel_id": "7790199"}, {"ref": "ahmedehabessa/kernel-1", "kernel_id": "7340548"}, {"ref": "foodaholic/cis-fraud-detection-lightgbm", "kernel_id": "7962124"}, {"ref": "amukhoti/web-club-kaggle-session-3-eda", "kernel_id": "7756619"}, {"ref": "ednafernandes/ieee-cis-fraud-detection", "kernel_id": "7972017"}, {"ref": "rohith464/fraud-detection-rf-xgb-lightgbm", "kernel_id": "7132974"}, {"ref": "emasun/ieee-fraud-detection-eda-and-models", "kernel_id": "7062378"}, {"ref": "jackieair/xgb-fraud-with-magic-0-9600", "kernel_id": "7209978"}, {"ref": "antoniomontilla/antonio-proyecto-neoland", "kernel_id": "7945707"}, {"ref": "trouser/kernel4939a06af8", "kernel_id": "8330438"}, {"ref": "wakamezake/autogluon-tabular-for-ieeefraud", "kernel_id": "8453581"}, {"ref": "slatawa/basic-eda-and-catboost", "kernel_id": "8275429"}, {"ref": "slatawa/basic-data-cleaning-with-lgb-xgboost", "kernel_id": "8212412"}, {"ref": "santhoshdatasc/ysk-ieee-fraud-transaction", "kernel_id": "8963676"}, {"ref": "joshuajhchoi/ieee-cis-fraud-detection-2020", "kernel_id": "8328637"}, {"ref": "khotaka127/feature-engineering-lightgbm", "kernel_id": "8187393"}, {"ref": "khotaka127/eda-and-models", "kernel_id": "8187573"}, {"ref": "darwinwin/automlclassifierforfrauds-usingtpot", "kernel_id": "8130769"}, {"ref": "darwinwin/h2o-automl-tutorial-ieee-cis-fraud-detection", "kernel_id": "8131011"}, {"ref": "darwinwin/ieee-with-h2o-automls", "kernel_id": "8120994"}, {"ref": "darwinwin/ieee-with-h2o-automl", "kernel_id": "8120997"}, {"ref": "darwinwin/eda-and-models", "kernel_id": "8190841"}, {"ref": "darwinwin/adversarial-validation-on-ieee-fe-with-some-eda", "kernel_id": "8191658"}, {"ref": "aaron35/transaction-fraud-detection", "kernel_id": "9270489"}, {"ref": "marloz/sankey-diagrams", "kernel_id": "9354484"}, {"ref": "mervebdurna/ieee-fraud-detection-eda", "kernel_id": "9838710"}, {"ref": "mervebdurna/ieee-fraud-detection-model", "kernel_id": "9839461"}, {"ref": "halilhp/pred-fraud", "kernel_id": "9433321"}, {"ref": "halilhp/fraud-base", "kernel_id": "9433231"}, {"ref": "devchriscross/ieee-cis-fraud-detection", "kernel_id": "9440984"}, {"ref": "arjunmann73/tree-boosting-algorithms-lgbd-xgboost-cat", "kernel_id": "9140450"}, {"ref": "alex478/ieee-cis-fraud-detection", "kernel_id": "9793322"}, {"ref": "jafarib/ieee-cis-fraud-detection-good-score", "kernel_id": "9125013"}, {"ref": "sukruaras/fraud-detection-sukru01", "kernel_id": "9398965"}, {"ref": "soheilhosseini/fraud-eda-classification", "kernel_id": "9135885"}, {"ref": "ismailkaya83/catboost-gridsearch", "kernel_id": "9959976"}, {"ref": "ismailkaya83/catboost-gridsearch-kfold", "kernel_id": "9960019"}, {"ref": "ismailkaya83/lightgbm-gridsearch", "kernel_id": "9960059"}, {"ref": "ismailkaya83/lightgbm-gridsearch-kfold", "kernel_id": "9960070"}, {"ref": "ismailkaya83/xgboost-gridsearch", "kernel_id": "9960087"}, {"ref": "ismailkaya83/xgboost-gridsearch-kfold", "kernel_id": "9960106"}, {"ref": "mustafabozkurt/fraud-final", "kernel_id": "9552424"}, {"ref": "mustafabozkurt/fraud-corr", "kernel_id": "9517016"}, {"ref": "mustafabozkurt/fraud-pca", "kernel_id": "9461978"}, {"ref": "mustafabozkurt/fraud-base", "kernel_id": "9396942"}, {"ref": "homydata/fraud-detection-homy-agg", "kernel_id": "9127482"}, {"ref": "ozaninal/lgbmclassifier-predict-frauds", "kernel_id": "9931300"}, {"ref": "muhammetcimci/fraud-lightgbm-kfold-and-gridsearch", "kernel_id": "9965862"}, {"ref": "tuhinatta/eda-and-modeling-xgb", "kernel_id": "9479070"}, {"ref": "gustavkeppler/layer-wise-relevance-propagation-lrp-on-vgg16", "kernel_id": "9989954"}, {"ref": "vedato/cardfraud-fillna-ml", "kernel_id": "9456160"}, {"ref": "vedato/card-fraud", "kernel_id": "9600549"}, {"ref": "oddtrick/ieee-cis-fraud-detection", "kernel_id": "9280729"}, {"ref": "chemeng1/fraud-detection-with-xgboost", "kernel_id": "9851585"}, {"ref": "chemeng1/final-xgboost", "kernel_id": "9851529"}, {"ref": "mustafaalkan/final-catboost-gridsearch", "kernel_id": "9874304"}, {"ref": "chandrimad31/ieee-competition-predicting-fraud-with-lightgbm", "kernel_id": "9911001"}, {"ref": "leylatorlar/final-catboost-gridsearch-kfold", "kernel_id": "9896275"}, {"ref": "leylatorlar/final-catboost-gridsearch", "kernel_id": "9889875"}, {"ref": "vikramdutt/ieee-with-h2o-automl", "kernel_id": "10807363"}, {"ref": "loveall/fraud-detection-using-a-neural-autoencoder", "kernel_id": "10676846"}, {"ref": "nicklee/interview", "kernel_id": "10621673"}, {"ref": "ichijo/use-lightgbm", "kernel_id": "10929876"}, {"ref": "affanamin/is-it-fraud-transaction-eda-fe-and-lgb", "kernel_id": "10614297"}, {"ref": "rishabh279/iee-fraud-detection", "kernel_id": "10793905"}, {"ref": "possiblemanjr/anomaly-detection-unsupervised-learning", "kernel_id": "10909198"}, {"ref": "yashsaxena2003/basic-scikit-learn-fraud-detection", "kernel_id": "10978394"}, {"ref": "prathikkaundinya/ieee-fraud-detection-project", "kernel_id": "10300663"}, {"ref": "mohamedbadr8817/ieee-cis-fraud-detection", "kernel_id": "10869709"}, {"ref": "naimensucares/fraud", "kernel_id": "10001106"}, {"ref": "muhammetcimci/credit-card-fraud-lightgbm-with-gridsearch", "kernel_id": "10024267"}, {"ref": "thitiwat/keras-cnn", "kernel_id": "10301080"}, {"ref": "brijesh0808/ieee-eda-visualization", "kernel_id": "10000205"}, {"ref": "vernondsouza123/eda-feature-engineering-and-anomaly-detection", "kernel_id": "10092497"}, {"ref": "manishkc06/dealing-with-imbalanced-class", "kernel_id": "10684463"}, {"ref": "ersinsen/fraud-3-eda", "kernel_id": "10674835"}, {"ref": "fatiherik/ieee-fraud", "kernel_id": "10729112"}, {"ref": "vivekwadhwani/gradient-boosted-trees", "kernel_id": "10622458"}, {"ref": "vivekwadhwani/hyper-parameter-tuning-on-rfc", "kernel_id": "10619644"}, {"ref": "vivekwadhwani/complete-pipeline-on-ieee-fraud-data", "kernel_id": "10423107"}, {"ref": "vivekwadhwani/rfc-on-ieee-fraud-detection", "kernel_id": "10294640"}, {"ref": "yurimuniz/predicting-frauds-step-by-step", "kernel_id": "10548947"}, {"ref": "ivaneroshkin/eda-and-models", "kernel_id": "10744119"}, {"ref": "zombie97/fraud-detection", "kernel_id": "11512390"}, {"ref": "tusharkale/eda-and-models", "kernel_id": "11752801"}, {"ref": "bangoc/eda-2", "kernel_id": "11445988"}, {"ref": "prasri510/extensive-eda-and-modeling-xgb-hyperopt", "kernel_id": "11535852"}, {"ref": "kappilan/ieee-cis-fraud-detection-eda-and-model-building", "kernel_id": "11853919"}, {"ref": "gogo827jz/deep-learning-fraud-with-magic", "kernel_id": "11487328"}, {"ref": "sonannguyenngoc/fraud-detection-using-a-neural-autoencoder", "kernel_id": "11724130"}, {"ref": "aakashveera/kernel-sample", "kernel_id": "11633852"}, {"ref": "khannamohit/mohitkhanna-comp9417", "kernel_id": "11025913"}, {"ref": "manishkc06/model-optimization-with-random-forest", "kernel_id": "11231369"}, {"ref": "ersinsen/fraud-4-data-preprocessing", "kernel_id": "11144631"}, {"ref": "fatiherik/ieee-fraud-2", "kernel_id": "11319175"}, {"ref": "qincheng/baseline", "kernel_id": "11211043"}, {"ref": "danielpearson7/incomplete-bayesian-optimisation-lgbm-classifier", "kernel_id": "11859972"}, {"ref": "jonas0/ieee-fraud-detection-tutorial", "kernel_id": "11878954"}, {"ref": "divyadhamija/xgb-model", "kernel_id": "11630773"}, {"ref": "praveennmp/fraud-detection-sample", "kernel_id": "11746119"}, {"ref": "praveennmp/ieee-fraud-detection", "kernel_id": "11654918"}, {"ref": "ajaykgp12/ieee-cis-fraud-detection-lgb-with-fe", "kernel_id": "12153694"}, {"ref": "ajaykgp12/ieee-cis-fraud-detection-eda-lgb", "kernel_id": "12047173"}, {"ref": "fanbyprinciple/ieee-cis-fraud-fastai-v4", "kernel_id": "12873231"}, {"ref": "jirakst/ieee-cis-fraud-detection", "kernel_id": "12341182"}, {"ref": "mlpract/eda-ieee-fraud-detection", "kernel_id": "12515392"}, {"ref": "hardikmochi123/notebookaa52823f70", "kernel_id": "12488264"}, {"ref": "vaishnavkapil/ieee-cis-fraud-detection", "kernel_id": "12277439"}, {"ref": "esteinberg/secu-tp2", "kernel_id": "12126493"}, {"ref": "grishmamodi/fraud-prediction-eda", "kernel_id": "12431397"}, {"ref": "pavan1512/ieee-cis-fraud-detection", "kernel_id": "12704974"}, {"ref": "jonas0/reduce-memory-usage-tutorial", "kernel_id": "12258135"}, {"ref": "divyareddyyeruva/tabnet-fraud-detection", "kernel_id": "12952981"}, {"ref": "rz384365/sampling-methods-for-imbalanced-data", "kernel_id": "12027669"}, {"ref": "shafqaatahmad/ieee-cis-fraud-detection-lgb-with-fe", "kernel_id": "12647634"}, {"ref": "shafqaatahmad/ieee-cis-fraud-detection-eda-lgb", "kernel_id": "12647531"}, {"ref": "shafqaatahmad/ieee-cis-fraud-detection-random-forest", "kernel_id": "12647760"}, {"ref": "shafqaatahmad/ieee-cis-fraud-detection-xgboost", "kernel_id": "12647687"}, {"ref": "shreyauniyal19/ieee-cisfraud", "kernel_id": "12279422"}, {"ref": "arshizaidi/ieee-cis-fraud", "kernel_id": "12281892"}, {"ref": "mrizwansaeed/ieee-cis-fraud-detection-eda-and-models", "kernel_id": "13314351"}, {"ref": "shiva20/ieee-fraud-lgb-split-points", "kernel_id": "13345729"}, {"ref": "aakashveera/ieee-modelling", "kernel_id": "13468703"}, {"ref": "kickitlikeshika/fraud-detection-with-92-acc", "kernel_id": "13217034"}, {"ref": "thejravichandran/fraud-detection-v3-cleaning-and-rf", "kernel_id": "13836068"}, {"ref": "thejravichandran/fraud-detection-v4-small-data-experiments", "kernel_id": "13897114"}, {"ref": "juanjohernandez/1-fraud-detection-memory-reduction", "kernel_id": "13510650"}, {"ref": "juanjohernandez/2-1-fraud-detection-customer-detection", "kernel_id": "13380803"}, {"ref": "dorsaalh/using-identity-transaction", "kernel_id": "13773873"}, {"ref": "dorsaalh/using-transaction", "kernel_id": "13664857"}, {"ref": "pavitrasprabhu/eda-on-fraud-detection-dataset-in-python", "kernel_id": "14174563"}, {"ref": "pavitrasprabhu/ieee-cis-fraud-detection-extensive-eda-in-r", "kernel_id": "14128391"}, {"ref": "hyeonjin6/ieee-cis-fraud-detection", "kernel_id": "14952064"}, {"ref": "oleksiibernatskyi/git-fully-conected-nn-fraud", "kernel_id": "14886509"}, {"ref": "thejravichandran/fraud-detection-v16-new-pipleline-and-testing", "kernel_id": "14566831"}, {"ref": "thejravichandran/fraud-detection-v10-pipeline", "kernel_id": "14215414"}, {"ref": "youngminpark2559/eda-correlation-kolmogorov-smirov-relationship", "kernel_id": "14240007"}, {"ref": "trithuanngo/app-auto", "kernel_id": "14453024"}, {"ref": "jeongwonkim10516/ieee-cis-fraud-detection-eda", "kernel_id": "14961436"}, {"ref": "sergeysib/catboost-and-eda", "kernel_id": "15259191"}, {"ref": "kyakovlev/tps-mar-adversarial-validation", "kernel_id": "15251842"}, {"ref": "kyakovlev/tps-mar-predict-predict-proba", "kernel_id": "15265555"}, {"ref": "atszholi/ieee-fraud-detection-eda", "kernel_id": "15646525"}, {"ref": "trungkinng/ieee-cis-eda-and-models", "kernel_id": "15907449"}, {"ref": "maximmezhov/ieee-cis-fraud-detection-eda", "kernel_id": "15789102"}, {"ref": "barryc7/data-mining-pj", "kernel_id": "15905394"}, {"ref": "elifkaraktk/ieee-cis-fraud-detection-eda", "kernel_id": "15677994"}, {"ref": "mjasengmoon78/moon-final-ieee-cis-fraud-detection", "kernel_id": "15865952"}, {"ref": "ravel10/appauto", "kernel_id": "15345997"}, {"ref": "evgeniipavlusenko/model-for-project", "kernel_id": "15035504"}, {"ref": "anonyhost/ieee-fraud-detection-nh-m-8", "kernel_id": "16315932"}, {"ref": "anonyhost/ieee-eda-v-id", "kernel_id": "16321532"}, {"ref": "atszholi/ieee-fraud-detection-model", "kernel_id": "16140488"}, {"ref": "shihkailin/ieee-fraud-detection", "kernel_id": "16644592"}, {"ref": "akashmathur2212/comprehensive-ieee-cis-eda", "kernel_id": "16712592"}, {"ref": "ntdat0411/fraud-detection-decision-tree-random-forest", "kernel_id": "16547089"}, {"ref": "pyonemyatmaw/ieee-cis-xgb-lgb", "kernel_id": "16570828"}, {"ref": "adriancantu/fraud-detection-lightgbm", "kernel_id": "16789799"}, {"ref": "graykun/ieee-cis-fraud-detection-submission", "kernel_id": "16376563"}, {"ref": "mouli123/eda-bta", "kernel_id": "17548495"}, {"ref": "kunalgaurav18/fraud-detection", "kernel_id": "17147350"}, {"ref": "anonyhost/ieee-uid-exploration-nh-m-8", "kernel_id": "17155882"}, {"ref": "younggod/notebook487c8258b3", "kernel_id": "17370328"}, {"ref": "lima21bd/fraud-detection-with-92-95-accuracy", "kernel_id": "17868496"}, {"ref": "lima21bd/fraud-detection-with-93-64-accuracy", "kernel_id": "17856919"}, {"ref": "makatronium/fraud-detection-xgboost-with-gpu", "kernel_id": "17774883"}, {"ref": "tunnguynnhanh/ml-assignment-data-analysis", "kernel_id": "17630018"}, {"ref": "tunnguynnhanh/ml-assignment-modeling", "kernel_id": "17597279"}, {"ref": "raisulju/fraud-detection-with-catboost-lgb-5-fold-cv-94", "kernel_id": "17865446"}, {"ref": "mdabrarjahin/ieee-cis-fraud-detection", "kernel_id": "17373491"}, {"ref": "homiarafarhana/frud-detection-3", "kernel_id": "17421847"}, {"ref": "ntdat0411/fraud-detection-xgb-lgbm", "kernel_id": "17577885"}, {"ref": "ntdat0411/fraud-detection-data-exploration", "kernel_id": "17032880"}, {"ref": "alihashemi1376/notebook79e2bb2d29", "kernel_id": "17878418"}, {"ref": "graykun/notebook9a7f3eecbb", "kernel_id": "17166347"}, {"ref": "huysonnguyen/ieee-cis-fraud-detection-part-01", "kernel_id": "17593261"}, {"ref": "huysonnguyen/ieee-cis-fraud-detection-part-02", "kernel_id": "17624175"}, {"ref": "nqk18020710/ieee-baseline", "kernel_id": "17249802"}, {"ref": "haiduc/new-92", "kernel_id": "17789002"}, {"ref": "shashwatasamya/ieee-cis-fraud-detection", "kernel_id": "17675108"}, {"ref": "s903124/xgb-fraud-with-magic-0-9600", "kernel_id": "18809330"}, {"ref": "dahyun3422/kaggle-week1", "kernel_id": "18032005"}, {"ref": "skloveyyp/fraud-detection-xgb-lgbm", "kernel_id": "18458082"}, {"ref": "aydinrab/fraud-detection", "kernel_id": "19330603"}, {"ref": "burakaslann/fraud-detection-final", "kernel_id": "19967446"}, {"ref": "s903124/xgb-fraud-with-magic-training", "kernel_id": "20304579"}, {"ref": "shashankpy/fraud-detection-lightgbm-xgboost", "kernel_id": "20740622"}, {"ref": "ifakat/fraud-02", "kernel_id": "20115774"}, {"ref": "ifakat/fraud-04", "kernel_id": "20120778"}, {"ref": "ifakat/notebookea4450e9f4-d17afe", "kernel_id": "20103836"}, {"ref": "ifakat/notebookea4450e9f4", "kernel_id": "20083771"}, {"ref": "taewonkimzad/choice-2", "kernel_id": "20499186"}, {"ref": "zleyhaakr/notebookea4450e9f4-d17afe", "kernel_id": "20095526"}, {"ref": "kirshoff/fraud-detection-lightgbm-xgboost", "kernel_id": "20515572"}, {"ref": "gersonrabelo/initial-eda-for-fraud-detection", "kernel_id": "20937643"}, {"ref": "burakaslann/fraud", "kernel_id": "20096902"}, {"ref": "emrahnar/fraud-detection", "kernel_id": "20440742"}, {"ref": "imranozdemiryilmaz/fraud-detection", "kernel_id": "20230061"}, {"ref": "marcokang/fraud-detection-eda", "kernel_id": "20455744"}, {"ref": "datasoin/eda-team-o", "kernel_id": "20496537"}, {"ref": "ohseongyeon/ieee-hyperparmeter-tuning", "kernel_id": "20435342"}, {"ref": "ohseongyeon/notebook82013e18ef", "kernel_id": "20505039"}, {"ref": "ahnsehun/max-o-simple-lgbm", "kernel_id": "20501081"}, {"ref": "ym7079/notebook82013e18ef", "kernel_id": "20498313"}, {"ref": "felipebihaiek/ventilator-lightgbm-with-gpu", "kernel_id": "21046953"}, {"ref": "atenagm/ieee-fraud-detection-eda-ml", "kernel_id": "21905778"}, {"ref": "gutierrezmatias/tp3-2c2021-parte-i", "kernel_id": "21835586"}, {"ref": "microhello/anomaly-detection-with-autoencoders", "kernel_id": "21140328"}, {"ref": "chitwanmanchanda/fraud-detection-using-xgboost", "kernel_id": "21100022"}, {"ref": "chitwanmanchanda/fraud-detection-using-pca-and-xgboost", "kernel_id": "21100804"}, {"ref": "trangtrnhthuhuyn/ieee-catboost-baseline-with-groupkfold-cv", "kernel_id": "21013542"}, {"ref": "anqiwu85/eda-and-xgboost-on-fraud-detection", "kernel_id": "21816402"}, {"ref": "shashreddy/fraud-detection-sol", "kernel_id": "21809711"}, {"ref": "vedangw/feature-selection-and-engineering", "kernel_id": "22912006"}, {"ref": "vedangw/frauddetection-ieee-cis", "kernel_id": "22921979"}, {"ref": "gutierrezmatias/tp3-2c2021-keras", "kernel_id": "22385880"}, {"ref": "gutierrezmatias/tp3-2c2021-parte-iii-rf", "kernel_id": "22222626"}, {"ref": "gutierrezmatias/tp3-2c2021-parte-iii-xgb", "kernel_id": "22195009"}, {"ref": "gutierrezmatias/tp3-2c2021-parte-ii", "kernel_id": "22024199"}, {"ref": "antonsruberts/basic-preprocessing", "kernel_id": "22062227"}, {"ref": "s903124/xgb-fraud-with-magic-training-rf", "kernel_id": "22347395"}, {"ref": "s903124/xgb-fraud-with-magic-training-mlp", "kernel_id": "22347496"}, {"ref": "s903124/xgb-fraud-with-magic-training-untuned", "kernel_id": "22154805"}, {"ref": "s903124/xgb-fraud-with-magic-training-logistic", "kernel_id": "22155265"}, {"ref": "alejandro95/notebook646e8852c6", "kernel_id": "22498172"}, {"ref": "enesztrk/fraud-detection-with-machine-learning", "kernel_id": "22842686"}, {"ref": "sndngonbo/ieee-xgb", "kernel_id": "22465739"}, {"ref": "flafuji/fraud-detection-eda-model-top20-explained", "kernel_id": "22542933"}, {"ref": "flafuji/ieee-fraud-eda-visualization-model-explained", "kernel_id": "22649888"}, {"ref": "coraliaarguedasfeijo/notebook646e8852c6", "kernel_id": "22492790"}, {"ref": "coraliaarguedasfeijo/fraud-or-not", "kernel_id": "22501177"}, {"ref": "nhungng/ieee-xgb", "kernel_id": "22463650"}, {"ref": "nguyenmaicg/btl-notebook", "kernel_id": "22568971"}, {"ref": "yuki1920/kaggle", "kernel_id": "23840867"}, {"ref": "duongoku/train-fraud", "kernel_id": "23676907"}, {"ref": "duongoku/data-fraud", "kernel_id": "23696341"}, {"ref": "doananh020418/creditcardfrauddetection", "kernel_id": "23732835"}, {"ref": "thinlcl/19021324-xgboost", "kernel_id": "23716374"}, {"ref": "dungxtd/credit-card-fraud-detection", "kernel_id": "23727521"}, {"ref": "derrickmwiti/xgboost-classification-with-dask", "kernel_id": "24539315"}, {"ref": "s903124/xgb-fraud-with-magic-training-cnn", "kernel_id": "24263500"}, {"ref": "rocklen/final-ieee-cis-fraud-detection", "kernel_id": "24406149"}, {"ref": "arababudu/aba-ieee-cis-eda", "kernel_id": "24575291"}, {"ref": "durgeshrao9993/eda-exploratory-data-analysis-on-titanic", "kernel_id": "24245759"}, {"ref": "luckypen/credit-card-fraud-detection", "kernel_id": "24474814"}, {"ref": "hiroto1979/ieee-fraud-detection-baseline", "kernel_id": "24264472"}, {"ref": "purpler/notebookf0a9a37d10", "kernel_id": "24110160"}, {"ref": "adityaraj456/fraud-detection", "kernel_id": "24842971"}, {"ref": "gbecon/fraud-detection-ensemble", "kernel_id": "25283573"}, {"ref": "gbecon/beat-my-score", "kernel_id": "25164120"}, {"ref": "thitiwat/xgboost-with-smote-method", "kernel_id": "25751695"}, {"ref": "arababudu/aba-ieee-cis-submission", "kernel_id": "25191615"}, {"ref": "arababudu/aba-ieee-cis-lgbm-optuna-best-model-submission", "kernel_id": "25910548"}, {"ref": "arababudu/aba-ieee-cis-rf-optuna-best-model-submission", "kernel_id": "25909730"}, {"ref": "arababudu/aba-ieee-cis-dt-optuna-best-model-submission", "kernel_id": "25909257"}, {"ref": "jaquelinenoonan/autogluon-on-fraud-detection", "kernel_id": "25200691"}, {"ref": "asswin07/ensembling-with-stacknet", "kernel_id": "25338340"}, {"ref": "omerparlak/2-correlation-analysis-and-feature-importance", "kernel_id": "25071936"}, {"ref": "omerparlak/3-choose-base-model", "kernel_id": "25069894"}, {"ref": "omerparlak/6-different-scenarios-and-final-model", "kernel_id": "25146719"}, {"ref": "omerparlak/4-random-under-sampling-scores", "kernel_id": "25146505"}, {"ref": "omerparlak/1-fraud-detection-eda", "kernel_id": "25095753"}, {"ref": "omerparlak/5-different-scenarios", "kernel_id": "25080235"}, {"ref": "gamzebayir/fraud-detection-eda", "kernel_id": "25277823"}, {"ref": "gamzebayir/fraud-detection-random-under-sampling", "kernel_id": "25638423"}, {"ref": "gamzebayir/fraud-detection-different-scenarios-final-model", "kernel_id": "25639344"}, {"ref": "gamzebayir/fraud-detection-correlation-anly-and-feature-imp", "kernel_id": "25601008"}, {"ref": "gamzebayir/fraud-detection-choosing-base-model", "kernel_id": "25602271"}, {"ref": "arnaslaurinaviius/beat-my-score", "kernel_id": "25187130"}, {"ref": "chewziqing/fraud-detection", "kernel_id": "25726870"}, {"ref": "drbeane/ieee-fraud-feature-engineering", "kernel_id": "26083014"}, {"ref": "arababudu/aba-ieee-cis-feature-engineering-x-only", "kernel_id": "26268384"}, {"ref": "arababudu/aba-ieee-cis-feature-engineering-logamt-only", "kernel_id": "26268253"}, {"ref": "arababudu/aba-ieee-cis-feature-engineering-time-only", "kernel_id": "26268556"}, {"ref": "arababudu/aba-ieee-cis-feature-engineering-logamt", "kernel_id": "26268577"}, {"ref": "arababudu/aba-ieee-cis-feature-engineering-tramt-logamt", "kernel_id": "26268661"}, {"ref": "arababudu/aba-ieee-cis-feature-engineering-x", "kernel_id": "26268740"}, {"ref": "arababudu/aba-ieee-cis-feature-engineering-tramt-only", "kernel_id": "26217667"}, {"ref": "arababudu/aba-ieee-cis-feature-engineering-all", "kernel_id": "26217361"}, {"ref": "arababudu/aba-ieee-cis-feature-engineering-time", "kernel_id": "26217403"}, {"ref": "arababudu/aba-ieee-cis-lgbm-optuna-all-features", "kernel_id": "26030390"}, {"ref": "arababudu/ieee-fraud-feature-engineering", "kernel_id": "26086638"}, {"ref": "arababudu/aba-ieee-cis-feature-eng-imp-drop-bottom-40", "kernel_id": "26398795"}, {"ref": "arababudu/aba-ieee-cis-feature-eng-imp-drop-bottom-20", "kernel_id": "26397785"}, {"ref": "arababudu/aba-ieee-cis-project-summary", "kernel_id": "26753657"}, {"ref": "lint12/fraud-complete-eda", "kernel_id": "26458634"}, {"ref": "peretang/notebook317f8b1708", "kernel_id": "27954243"}, {"ref": "gamersblended/fraud-detection-with-rapids-hands-on", "kernel_id": "27237290"}, {"ref": "gamersblended/rapids-template", "kernel_id": "27477185"}, {"ref": "sulimanhaqqyarjan/eda-and-models", "kernel_id": "27606796"}, {"ref": "s903124/fraud-with-magic-training-cnn-pytorch", "kernel_id": "28407066"}, {"ref": "s903124/fraud-with-magic-training-cnn-flax", "kernel_id": "28406843"}, {"ref": "ujjwalchowdhury/ieee-preprocessing", "kernel_id": "28349275"}, {"ref": "s903124/xgb-speed-test", "kernel_id": "29190598"}, {"ref": "pradneshlachake/ieee-cis-fraud-detection-random-forest-classifier", "kernel_id": "29350943"}, {"ref": "abhimanyubhowmik/credit-card-fraud", "kernel_id": "29595921"}, {"ref": "nejatzileli/fraud-detection", "kernel_id": "29391517"}, {"ref": "ramdasubhaskar/fraud-detection", "kernel_id": "30105254"}, {"ref": "mdahmadjami/fraud-detection-eda", "kernel_id": "31587799"}, {"ref": "srikrishnasagar/de-dataset", "kernel_id": "32534858"}, {"ref": "patilharss/ieee-fraud-detection-first-look-and-eda", "kernel_id": "32767429"}, {"ref": "debanjanmani/q2-ieee-fraud-detection-first-look-and-eda", "kernel_id": "32646760"}, {"ref": "dylanarlen/xgb-fraud-with-magic-training", "kernel_id": "32963236"}, {"ref": "joesoefseptadiwijaya/xgb-fraud-with-magic-training-3221d4", "kernel_id": "32974306"}, {"ref": "joesoefseptadiwijaya/xgb-fraud-with-magic-training", "kernel_id": "32942309"}, {"ref": "humancalculator/ieee-fraud-detection-first-look-and-eda", "kernel_id": "33247482"}, {"ref": "aytacabdullayeva/data-mining-project-aytaj-nurlan-kamil", "kernel_id": "33297198"}, {"ref": "nicklitwinow/ieee-fraud-detection-eda-for-all-columns", "kernel_id": "33674696"}, {"ref": "nicklitwinow/ieee-fraud-detection-eda-for-all-columns-p1", "kernel_id": "33698343"}, {"ref": "nicklitwinow/ieee-fraud-detection-eda-for-all-columns-p2", "kernel_id": "33698384"}, {"ref": "rachelaurelliairawan/xgb-fraud-with-magic-training-3221d4", "kernel_id": "33046070"}, {"ref": "joesoefseptadiwijaya/xgb-fraud-with-magic-training-3221d4-3b084f", "kernel_id": "33248009"}, {"ref": "rafaellciomartins/trabalho-2-lp", "kernel_id": "33359208"}, {"ref": "sohappychoi/ml-nk-ieee-cis-fraud-detection", "kernel_id": "34436520"}, {"ref": "develofun/ml-fraud-detection-quiz", "kernel_id": "34646735"}, {"ref": "yangkenwu/ml-rapids-xgboost-feature-engineering-cis-fraud", "kernel_id": "35124908"}, {"ref": "shuddhendumishra/cis-fraud-detection", "kernel_id": "35452083"}, {"ref": "johnnytay/fraud-detection-with-vesta-dataset", "kernel_id": "35384489"}, {"ref": "trishanagarkatte/fraud-detection", "kernel_id": "35903882"}, {"ref": "mauricioparas/dataminingproject-mpl", "kernel_id": "35115763"}, {"ref": "danielahdz/dm-finalproject-dhz", "kernel_id": "35081228"}, {"ref": "nip222/xgb-fraud-with-magic-0-9600", "kernel_id": "36844699"}, {"ref": "hangyyyy/xgb-fraud-with-magic-training-3221d4", "kernel_id": "36737176"}, {"ref": "andrewsale/ieee-fraud-rgcn-with-dgl", "kernel_id": "36859632"}, {"ref": "zecyan/xgb-fraud-with-magic-training-3221d4", "kernel_id": "37141036"}, {"ref": "hangyyyy/xgb-fraud-with-magic-training-3221d4-c988ec", "kernel_id": "37181853"}, {"ref": "adritaparia/notebooke51faf3f0b", "kernel_id": "37457313"}, {"ref": "gonaomkarsairam/fraud-detection-with-vesta-dataset", "kernel_id": "37041908"}, {"ref": "sshrutiharma/notebook82a08d3890", "kernel_id": "37019652"}, {"ref": "parth099/ccfruad-randomforest", "kernel_id": "37632781"}, {"ref": "parth099/ccfruad-lgb", "kernel_id": "37556172"}, {"ref": "parth099/ccfruad-preprocessing", "kernel_id": "37307271"}, {"ref": "seanlog/chapter-11-ieee-cis-fraud-detection", "kernel_id": "38693951"}, {"ref": "aamall/ieee-card-fraud-detection", "kernel_id": "38825477"}, {"ref": "adritaparia/non-gnn", "kernel_id": "38863689"}, {"ref": "adritaparia/notebook06591156bd", "kernel_id": "38075651"}, {"ref": "adritaparia/fraud-detection-using-gnn-5-epochs", "kernel_id": "38250579"}, {"ref": "yuvannabawa/ieee-cis-fraud-detection", "kernel_id": "38050906"}, {"ref": "imm0bilize/ccfruad-lgb", "kernel_id": "38295828"}, {"ref": "cccbby/fraud-eda", "kernel_id": "38138683"}, {"ref": "davidylevy/david-ran", "kernel_id": "38970422"}, {"ref": "mriank/fraud-detection-using-gnn-5-epochs", "kernel_id": "38241137"}, {"ref": "mriank/fraud-detection-in-graph-neural-network", "kernel_id": "38067601"}, {"ref": "gonaomkarsairam/vesta-fraud-detection", "kernel_id": "38228635"}, {"ref": "cccbby/fraud-models", "kernel_id": "39015422"}, {"ref": "samyamaryal1/ieee-cis", "kernel_id": "39734765"}, {"ref": "upamamahato/fraud-detection-eda", "kernel_id": "39703125"}, {"ref": "davidylevy/fraud-detection-classification-project-model", "kernel_id": "39354892"}, {"ref": "thomasmeiner/simple-and-fast-ml-with-bluecast", "kernel_id": "40217554"}, {"ref": "thomasmeiner/simple-and-fast-ml-with-bluecast-advanced-usage", "kernel_id": "40234240"}, {"ref": "suraj520/k-means-via-rapidsml-cudf-know-fit-infer", "kernel_id": "40382161"}, {"ref": "skn443/he-ml-ieee-fraud-detection", "kernel_id": "40082600"}, {"ref": "soumyadeepsarkar3223/sumeetbook", "kernel_id": "41569390"}, {"ref": "naddamuhhamed/machine-learning-fraud-detection", "kernel_id": "42435251"}, {"ref": "marcosmillalbravo/transfer-arbeit-fraud-detection", "kernel_id": "42607016"}, {"ref": "beomsulee/ieee-cis-fraud-detection-with-lightgbm", "kernel_id": "43668582"}, {"ref": "ramonsoto77/rs-iee-fraud-detection-eda", "kernel_id": "45899412"}, {"ref": "deepakkaura/ieee-cis-a-story-of-fraud-detection", "kernel_id": "46177838"}, {"ref": "devangbabel/credit-card-fraud-detection", "kernel_id": "46569648"}, {"ref": "ramonsoto77/rs-final-project-submission-ieee-fraud-detection", "kernel_id": "47859278"}, {"ref": "ramonsoto77/training-model-ieee-fraud-detection", "kernel_id": "47911403"}, {"ref": "naimensucares/nan-waarden", "kernel_id": "47578264"}, {"ref": "tinatally/frauddetection-xgboost", "kernel_id": "47107390"}, {"ref": "upamapokh/up-ieee-detailed-eda", "kernel_id": "47676839"}, {"ref": "upamapokh/up-ieee-feature-engineering", "kernel_id": "47753187"}, {"ref": "upamapokh/up-ieee-hyper-parameter-tuning", "kernel_id": "47752448"}, {"ref": "upamapokh/up-ieee-final-modeling", "kernel_id": "47754026"}, {"ref": "upamapokh/up-ieee-fraud-detection-with-baseline-model", "kernel_id": "47531035"}, {"ref": "arnoldkazadi/finalproject-fraud-detection", "kernel_id": "47596986"}, {"ref": "eviltrtl/ieee-cis-fraud-detection", "kernel_id": "49469328"}, {"ref": "bowbowbow/ieee-fraud-detection-baseline", "kernel_id": "50766706"}, {"ref": "aniketsakharkar/using-logistic-regression", "kernel_id": "50661649"}, {"ref": "vvemana1/ifd-data-cleaning", "kernel_id": "50886172"}, {"ref": "pruthvibpt/capstone-final-project-ieee-fraud-detection", "kernel_id": "50796983"}, {"ref": "karimabdelhalim/cis-fraud-detection", "kernel_id": "51654010"}, {"ref": "lakshmikanth99/final-project", "kernel_id": "51081910"}, {"ref": "vvemana1/ieee-eda", "kernel_id": "51011194"}, {"ref": "vvemana1/ieee-fraud-project", "kernel_id": "51840461"}, {"ref": "rohitroh/credit-card-fraud-detection", "kernel_id": "52009217"}, {"ref": "csmohamedayman/ml-catg-ieee-cis-fraud-detection", "kernel_id": "53058760"}, {"ref": "kamilacasconi/kc-fraud-detection-submission-v3", "kernel_id": "53694301"}, {"ref": "kamilacasconi/cf-fraud-detection-v01", "kernel_id": "53530013"}, {"ref": "mikestvictor/msv-fraud-detection", "kernel_id": "53423381"}, {"ref": "chris5743/kc-fraud-detection-submission-v2", "kernel_id": "53698939"}, {"ref": "perotti/ieee-fraud-feature-selection-rfecv", "kernel_id": "54299188"}, {"ref": "peterzakharov/ieee-taf-best-increments", "kernel_id": "54946202"}, {"ref": "musahamidu/capstone-final-project-ieee-fraud-detection-5868b2", "kernel_id": "54347013"}, {"ref": "kamilacasconi/kc-fraud-detection-v04", "kernel_id": "54022302"}, {"ref": "mikestvictor/msv-fraud-detection-submission", "kernel_id": "54820559"}, {"ref": "chris5743/kc-fraud-detection-submission-v2-735b9c", "kernel_id": "54507392"}, {"ref": "chris5743/kc-fraud-detection-submission-v3", "kernel_id": "54702367"}, {"ref": "vvemana1/ieee-fraud-detection-final-project", "kernel_id": "54374234"}, {"ref": "vvemana1/ieee-fraud-eda", "kernel_id": "54864586"}, {"ref": "pruthvibpt/ieee-fraud-detection-pruthvi", "kernel_id": "54376653"}, {"ref": "kamilacasconi/kc-fraud-detection-submission-v4", "kernel_id": "55180133"}, {"ref": "kamilacasconi/kc-fraud-detection-v05", "kernel_id": "55496788"}, {"ref": "kamilacasconi/kc-fraud-detection-submission-v5", "kernel_id": "55527345"}, {"ref": "chakrounezzeddine/federated-quantum-machine-learning-for-fraud-detec", "kernel_id": "55862872"}, {"ref": "umamaheshwr/final-project", "kernel_id": "55768533"}, {"ref": "francesco883/fraud-detection", "kernel_id": "55098969"}, {"ref": "vvemana1/xgboost-model", "kernel_id": "55180218"}, {"ref": "vvemana1/ieee-final-report", "kernel_id": "55566741"}, {"ref": "kamilacasconi/kc-fraud-detection-v06", "kernel_id": "56275123"}, {"ref": "kamilacasconi/kc-fraud-detection-submission-v6", "kernel_id": "56321334"}, {"ref": "chakrounezzeddine/qfnn-using-qskit", "kernel_id": "56368431"}, {"ref": "mikestvictor/msv-fraud-detection-submission-v2", "kernel_id": "56167843"}, {"ref": "nguyennthuhuong/frauddetectionpj", "kernel_id": "56733297"}, {"ref": "sajibgta/bank-fruad-detection-by-imbalance-handling", "kernel_id": "56239965"}, {"ref": "maiabdelnabymahmoud/notebook3998baa1cb", "kernel_id": "56411486"}, {"ref": "tuliobastidas/c18-80-t-data-bi", "kernel_id": "58053734"}, {"ref": "sebastinazamaravils/ieee-fraud-detection", "kernel_id": "58405906"}, {"ref": "alejandrodueasruiz/regresionlogistica", "kernel_id": "58587637"}, {"ref": "anbinhbui/ieee-credit-card-fraud-detection-eda", "kernel_id": "59667652"}, {"ref": "anbinhbui/ieee-credit-card-fraud-detection-modelling", "kernel_id": "59698514"}, {"ref": "anbinhbui/ieee-credit-card-fraud-detection-classic-ml", "kernel_id": "59707700"}, {"ref": "ruzive/ieee-fraud-detection-eda-prediction", "kernel_id": "60602183"}, {"ref": "pperna/usp-icmc-mecai-aprendizado-de-m-quina", "kernel_id": "60231699"}, {"ref": "asmaaelsayedshaaban/gp-gnn", "kernel_id": "60431071"}, {"ref": "weiruhou/group-2-prob-4", "kernel_id": "60616986"}, {"ref": "maidolequynh/add-feature-xgboost-fraud-detection", "kernel_id": "61722813"}, {"ref": "maidolequynh/eda-fraud-detection", "kernel_id": "61619536"}, {"ref": "thanhhang2/reduceddata-lightgbm", "kernel_id": "61672795"}, {"ref": "thanhhang2/reduceddata-catboost", "kernel_id": "61663564"}, {"ref": "alxkng/ieee-fraud-lgb-split-points", "kernel_id": "61449386"}, {"ref": "thanhhang2204/datapj", "kernel_id": "61491842"}, {"ref": "thanhhang2204/frauddetectionwithna2", "kernel_id": "61597571"}, {"ref": "liornis/ieee-fd-eda", "kernel_id": "61678295"}, {"ref": "toobarahimnia/ieee-cis-fraud-detection-with-random-forest", "kernel_id": "62457768"}, {"ref": "sushantpargaonkar/rgcn-complete", "kernel_id": "62830450"}, {"ref": "kteka598/bb-ieee-fraud-detection-eda", "kernel_id": "62990538"}, {"ref": "georgiapanou/ieee-fraud-lgbm-0-9595", "kernel_id": "62448422"}, {"ref": "bbryantt1/bb-ieee-fraud-detection-eda", "kernel_id": "62320025"}, {"ref": "bbryantt1/bb-ieee-fraud-detection-project-portfolio", "kernel_id": "62995981"}, {"ref": "nnannakaluokoro/nko-ieeec-cis-model", "kernel_id": "62707233"}, {"ref": "fbasampaio/data-imbalance-solutions", "kernel_id": "63707619"}, {"ref": "fbasampaio/random-forest-fraud-prevention", "kernel_id": "64243309"}, {"ref": "fbasampaio/naive-bayes-fraud-prevention", "kernel_id": "64246653"}, {"ref": "fbasampaio/support-vector-machines-svm-fraud-prevention", "kernel_id": "64278563"}, {"ref": "fbasampaio/logistic-regression-fraud-prevention", "kernel_id": "64086901"}, {"ref": "fbasampaio/decision-tree-fraud-prevention", "kernel_id": "64028796"}, {"ref": "fbasampaio/linear-regression-fraud-prevention", "kernel_id": "64019208"}, {"ref": "dhananjaykumar4066/ieee-fraud-lgbm-0-9588", "kernel_id": "64462709"}, {"ref": "ahmedelbashir99/fraud-prevention-best-model", "kernel_id": "64935729"}, {"ref": "immuhammadumair/eda-and-models", "kernel_id": "65003943"}, {"ref": "mfaridfatchurrohmad/fraud-detection", "kernel_id": "65572969"}, {"ref": "avdhesh15/fraud-detection-model", "kernel_id": "65749941"}, {"ref": "varshithdupati/notebook2fb33298a7", "kernel_id": "66287884"}, {"ref": "pravallikau/ieee-cis-fraud-detection", "kernel_id": "68511243"}, {"ref": "ismetsemedov/fraud-detection", "kernel_id": "69218693"}, {"ref": "mariajunior/nt-ieee-fraud-detection-eda", "kernel_id": "69953480"}, {"ref": "s903124/xgb-fraud-with-magic-training-tabm", "kernel_id": "70549054"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v1-param-grid", "kernel_id": "70390469"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v03-eda", "kernel_id": "70757193"}, {"ref": "quello/vk-fraud-detection-v17", "kernel_id": "70113842"}, {"ref": "mariajunior/nt-updated-ieee-fraud-feature-engineer-lgbt", "kernel_id": "70558830"}, {"ref": "mariajunior/nt-ieee-decision-tree-feature-engineering-updated", "kernel_id": "70673085"}, {"ref": "mariajunior/fork-of-nt-ieee-feature-engineering-decision-tree", "kernel_id": "70673055"}, {"ref": "mariajunior/ieee-feature-engineering-random-forest", "kernel_id": "70192263"}, {"ref": "mariajunior/ieee-lightgbm-test-submission-v01", "kernel_id": "70155357"}, {"ref": "mariajunior/nt-ieee-fraud-detection-decision-tree-submission-1", "kernel_id": "70138008"}, {"ref": "mariajunior/ieee-decision-tree-best-hyperparameter-v01", "kernel_id": "70136730"}, {"ref": "mariajunior/ieee-decision-tree-model-v01", "kernel_id": "70130643"}, {"ref": "mariajunior/ieee-ensemble-model02", "kernel_id": "70134186"}, {"ref": "mariajunior/ieee-extra-random-trees-v01", "kernel_id": "70132605"}, {"ref": "mariajunior/ieee-ensemble-method-v01", "kernel_id": "70133872"}, {"ref": "mariajunior/nt-ieee-decision-tree-submission-v02", "kernel_id": "70150993"}, {"ref": "mariajunior/ieee-decision-tree-v02", "kernel_id": "70150924"}, {"ref": "mariajunior/nt-ieee-feature-engineering-decision-tree-v01", "kernel_id": "70294371"}, {"ref": "mariajunior/nt-ieee-feature-engineering-random-forest-v01", "kernel_id": "70293537"}, {"ref": "mariajunior/nt-ieee-feature-engineering-lgbm-forest", "kernel_id": "70292873"}, {"ref": "mariajunior/nt-ieee-feature-engineering-xgboost-v02", "kernel_id": "70259626"}, {"ref": "mariajunior/nt-ieee-xgboost-hyperparameter-v01", "kernel_id": "70221815"}, {"ref": "mariajunior/nt-ieee-random-forest-submission-01", "kernel_id": "70198893"}, {"ref": "l1yz00/ieee-fraud-detection", "kernel_id": "70986396"}, {"ref": "nguynlvithong/ieee-fraud-detection-2step", "kernel_id": "70074251"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v1-rf-auc-0-904", "kernel_id": "71009191"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v4-lgbm-auc-0-9581", "kernel_id": "71517909"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v5-lgbm-xgb-catb", "kernel_id": "71522328"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v4-1-lgbm-tuning", "kernel_id": "71576362"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v5-1-lgbm-xg-cat-op", "kernel_id": "71585796"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v5-1a-dtypes", "kernel_id": "71711571"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v5-2b-xgb-opt", "kernel_id": "71711576"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v5-2a-catb-opt", "kernel_id": "71711590"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v5-2a-lgbm-opt", "kernel_id": "71712481"}, {"ref": "mariajunior/nt-ieee-final-feature-modeling-rf-pp-v11", "kernel_id": "71958850"}, {"ref": "mariajunior/nt-ieee-final-feature-modeling-rf-v10", "kernel_id": "71957691"}, {"ref": "mariajunior/nt-project-summary-part-1", "kernel_id": "71996227"}, {"ref": "mariajunior/statistical-tests-based-on-categorical-data", "kernel_id": "71882087"}, {"ref": "mariajunior/nt-iee-final-feature-modeling-cc-v07", "kernel_id": "71879584"}, {"ref": "mariajunior/nt-iee-final-feature-modeling-cc-v09", "kernel_id": "71892978"}, {"ref": "mariajunior/nt-iee-final-feature-modeling-lgbt-v02", "kernel_id": "71788275"}, {"ref": "mariajunior/nt-iee-final-feature-modeling-cc-v03", "kernel_id": "71790990"}, {"ref": "mariajunior/nt-iee-final-test-submiss-feature-modeling-v02", "kernel_id": "71757253"}, {"ref": "mariajunior/nt-recommended-numerical-value-trial-run", "kernel_id": "71462273"}, {"ref": "mariajunior/nt-ieee-identifying-differences-between-train-test", "kernel_id": "71458229"}, {"ref": "zyh1104/030-ieee-cis-fraud-detection", "kernel_id": "71515214"}, {"ref": "ksmooi/transaction-fraud-prediction-xgb-classifier", "kernel_id": "71222391"}, {"ref": "edaysharmila/fraud-detection-financial-transaction-code", "kernel_id": "71930124"}, {"ref": "skilly/smk-ieee-cis-fd-v7-1b-xgb-feats-opt-cv-pipe", "kernel_id": "72087385"}, {"ref": "skilly/smk-ieee-cis-fd-v7-1a-xgb-feats-opt", "kernel_id": "72086347"}, {"ref": "skilly/smk-ieee-cis-fraud-detection-v5-3a-ensemble-opti", "kernel_id": "72072928"}, {"ref": "mariajunior/nt-ieee-fraud-detection-helper-function", "kernel_id": "72548138"}, {"ref": "mariajunior/nt-ieee-fe-lgbt-final-low-variance-part-2", "kernel_id": "72553060"}, {"ref": "mariajunior/nt-ieee-fe-lgbt-final-low-variance-imp", "kernel_id": "72552784"}, {"ref": "mariajunior/nt-ieee-fe-lgbt-final-low-variance", "kernel_id": "72545283"}, {"ref": "mariajunior/nt-ieee-fe-lgbt-final-low-variance-part-3", "kernel_id": "72629514"}, {"ref": "mariajunior/nt-project-summary-part-2", "kernel_id": "72466779"}, {"ref": "mariajunior/nt-ieee-final-magic-features", "kernel_id": "72286870"}, {"ref": "mariajunior/nt-numerical-values", "kernel_id": "72297429"}, {"ref": "mariajunior/nt-iee-final-feature-modeling-lgbt-v12", "kernel_id": "72130571"}, {"ref": "mariajunior/nt-ieee-final-feature-modeling-ensemble-v14", "kernel_id": "72142405"}, {"ref": "mariajunior/nt-ieee-final-feature-modeling-lgbt-v13", "kernel_id": "72143863"}, {"ref": "mariajunior/trying-to-improve-roc-auc-score", "kernel_id": "72951658"}, {"ref": "mariajunior/nt-low-variance-eda-test-submission", "kernel_id": "72947440"}, {"ref": "mariajunior/nt-ieee-fraud-detection-low-variance-eda", "kernel_id": "72936498"}, {"ref": "mariajunior/nt-ieee-fraud-detection-final-test-submission", "kernel_id": "72655967"}, {"ref": "mariajunior/nt-ieee-fraud-detection-capstone-final-model", "kernel_id": "72655721"}, {"ref": "mariajunior/nt-ieee-fraud-ensemble-low-variance-training", "kernel_id": "72655463"}, {"ref": "mariajunior/nt-project-summary-part-3", "kernel_id": "72999884"}, {"ref": "panhaojun/cis-one-hot-coding", "kernel_id": "72085857"}, {"ref": "vinaybasavaraddi/fraud-detection-in-siot-with-rgcn", "kernel_id": "72265796"}, {"ref": "magedaliahmed/notebookec17e6b49f", "kernel_id": "72622629"}, {"ref": "skilly/smk-ieee-cis-fd-v8-1b-xgb-pipeline", "kernel_id": "73008356"}, {"ref": "skilly/smk-ieee-cis-fd-final-main-v10x", "kernel_id": "73051535"}, {"ref": "skilly/smk-ieee-cis-fd-v8-2-xgb-pipeline", "kernel_id": "73049862"}, {"ref": "mi3mi3mi3/pca-12-25-2024", "kernel_id": "73564858"}, {"ref": "gurram46/fraud-detection-with-neural-network", "kernel_id": "73959377"}, {"ref": "jonmcentee/ieee-cis-fraud-detection", "kernel_id": "74952925"}, {"ref": "galacticor/1-eda", "kernel_id": "74212485"}, {"ref": "sheep00/ieee-fraud-lgbm-0-9595", "kernel_id": "74858449"}, {"ref": "touseefasif2/improvedfraudcarddetection", "kernel_id": "74793714"}, {"ref": "meliiisa/ieee-cis-fraud-detection-nn-rf", "kernel_id": "74213459"}, {"ref": "naveenn004/fraud-detect-boosting", "kernel_id": "76367287"}, {"ref": "truptisukale/datathon-starter-notebook", "kernel_id": "76960585"}, {"ref": "piyushsdas/notebook58a78f4571", "kernel_id": "76960109"}, {"ref": "khaloodsami/notebookd20e4ba972", "kernel_id": "76782081"}, {"ref": "csmohamedayman/eda-tab-ieee-cis-fraud-detection", "kernel_id": "77300281"}, {"ref": "jcvaldiviezom/notebook-frauddet-arnav-polygence", "kernel_id": "77003802"}, {"ref": "csmohamedayman/ml-catg-home-credit-default-risk", "kernel_id": "78746811"}, {"ref": "csmohamedayman/dl-catg-ieee-cis-fraud-detection", "kernel_id": "78508452"}, {"ref": "maicorebong/fraud-risk-detection-in-financial-transactions", "kernel_id": "78204183"}, {"ref": "ayushman72/xgboost-opt", "kernel_id": "78827967"}, {"ref": "ayushman72/catboost-opt", "kernel_id": "78827621"}, {"ref": "ayushman72/lgbm-opt", "kernel_id": "78828213"}, {"ref": "ayushman72/ensemble", "kernel_id": "78876433"}, {"ref": "dharunramesh/preprocessing-ieee-cis", "kernel_id": "79901999"}, {"ref": "minhboon/paper", "kernel_id": "79962734"}, {"ref": "anthonyappiani/aa-ieee-fraud-submission-v01", "kernel_id": "79635138"}, {"ref": "adityapandey122303/hacknuthon", "kernel_id": "79561579"}, {"ref": "jarends101/ja-ieee-fraud-detection-baseline", "kernel_id": "79400075"}, {"ref": "jarends101/ja-ieee-fraud-detection-2nd-model", "kernel_id": "79762070"}, {"ref": "ar33ba/ieee-xgboost-final", "kernel_id": "79094407"}, {"ref": "anthonyappiani/aa-ieee-fraud-eda-v5", "kernel_id": "80593807"}, {"ref": "anthonyappiani/aa-ieea-fraud-v4", "kernel_id": "80253885"}, {"ref": "anthonyappiani/aa-ieee-fraud-submission-v2", "kernel_id": "80054876"}, {"ref": "kailashh/ieee-cis-fraud-detection", "kernel_id": "80649955"}, {"ref": "jarends101/ja-ieee-fraud-detection-4th-model", "kernel_id": "80866334"}, {"ref": "jarends101/ja-ieee-fraud-detection-3rd-model", "kernel_id": "80631284"}, {"ref": "jarends101/ja-ieee-fraud-detection-2nd-model-tuning", "kernel_id": "80546407"}, {"ref": "utkarsh1005/smotedataset", "kernel_id": "81750615"}, {"ref": "relieq/ieee-fraud-detection", "kernel_id": "81090787"}, {"ref": "anthonyappiani/aa-ieee-fraud-v06", "kernel_id": "81483903"}, {"ref": "anthonyappiani/aa-ieee-fraud-final-submission", "kernel_id": "81847673"}, {"ref": "ramrajayad/fraud-detection-analysis", "kernel_id": "81958759"}, {"ref": "jarends101/ja-ieee-fraud-detection-5th-model", "kernel_id": "81804953"}, {"ref": "jarends101/ja-ieee-fraud-detection-data-exploration", "kernel_id": "81801787"}, {"ref": "krishbnsl/gen-banegi-ya-maregi", "kernel_id": "81032464"}, {"ref": "ar33ba/eda-challenge", "kernel_id": "81775414"}, {"ref": "ar33ba/ieee-challenege-3-models", "kernel_id": "81797808"}, {"ref": "asmarida/xgboost6-bestpara", "kernel_id": "81807091"}, {"ref": "asmarida/xgboost5-optuna", "kernel_id": "81806344"}, {"ref": "asmarida/final-project-trial", "kernel_id": "81690757"}, {"ref": "nikolayfilim/les-4-baseline", "kernel_id": "81489968"}, {"ref": "ctrnmbr/mfdp-antifraud", "kernel_id": "82760757"}, {"ref": "sergeypenkovsky/mfdp-fraud-detection", "kernel_id": "82162139"}, {"ref": "sergeypenkovsky/graph-fraud-detect", "kernel_id": "82954932"}, {"ref": "relieq/ieee-fraud-detection-cont", "kernel_id": "82036449"}, {"ref": "anthonyappiani/aa-ieee-fraud-v-reduction", "kernel_id": "82143933"}, {"ref": "liotcholcanic/ga-and-pso", "kernel_id": "82999771"}, {"ref": "jarends101/ja-main-model", "kernel_id": "82013517"}, {"ref": "sergeypenkovsky/mfdp-fraud-detection-modify", "kernel_id": "83620206"}, {"ref": "sergeypenkovsky/mfdp-fraud-detection-gnn", "kernel_id": "83663631"}, {"ref": "citslzm/meaf-net", "kernel_id": "83198933"}, {"ref": "ningshanmeng/kaggle-ieee-cis-fraud", "kernel_id": "83529760"}, {"ref": "ctrnmbr/mfdp-antifraud-baseline", "kernel_id": "84135269"}, {"ref": "ctrnmbr/gnnmfdp", "kernel_id": "84856335"}, {"ref": "mainguyen2902/lgbm-newfeatures", "kernel_id": "84404411"}, {"ref": "mainguyen2902/valid-xgboost-01", "kernel_id": "84643993"}, {"ref": "rishabhsri17/image-anamoly-and-fraud-detection", "kernel_id": "84264988"}, {"ref": "electroknight/fraud-detection-eda-preprocessing", "kernel_id": "85408701"}, {"ref": "ishanpatelml/frauddetection", "kernel_id": "85193437"}, {"ref": "shuobin/train-transaction-feat-selection-to-upgrade", "kernel_id": "85845860"}, {"ref": "shuobin/train-identity-feat-selection-to-upgrade", "kernel_id": "85871278"}, {"ref": "gigguh/ieee-cis-fraud-data-preparation", "kernel_id": "86542945"}, {"ref": "vigneshbalachander/fraud-detection-eda-preprossing-competation", "kernel_id": "86390956"}, {"ref": "iqraaziza/project-1-redo", "kernel_id": "86203302"}, {"ref": "jhdkjsdgssg/fraud-detection-xgboost", "kernel_id": "87135967"}, {"ref": "mayasamehsaied/fork-of-fraud-detection-p1", "kernel_id": "87351827"}, {"ref": "mayasamehsaied/fraud-detection-p1", "kernel_id": "87224178"}, {"ref": "malakmostafa121/fork-of-notebookaa78f3359c", "kernel_id": "87250045"}, {"ref": "melinaguergueb/notebook3586bf6085", "kernel_id": "88778334"}, {"ref": "hayaye/notebooke941e43774", "kernel_id": "89028656"}, {"ref": "msultanalhakim/1-eda", "kernel_id": "89028949"}, {"ref": "msultanalhakim/fraud-detection", "kernel_id": "89028727"}, {"ref": "mdevian/iee-cis-fraud-0-93", "kernel_id": "89079409"}, {"ref": "aheersrabon/fraud-detection-gnn-graph-aware-gan-ieee-cis", "kernel_id": "91466338"}, {"ref": "jamaltiska/notebook447f89d46c", "kernel_id": "91017853"}, {"ref": "khuzaimahassan/task-1", "kernel_id": "92015350"}, {"ref": "faisalshahidd/dl-task-01", "kernel_id": "92050673"}, {"ref": "syedhussainraza123/dl-task-1", "kernel_id": "92077747"}, {"ref": "carlmarco/fraud-detection", "kernel_id": "93753353"}, {"ref": "immaculeago/detection-fraud1", "kernel_id": "94288628"}, {"ref": "mkris09/notebook87c0fae6d8", "kernel_id": "94686841"}, {"ref": "immaculeago/detection-fraud", "kernel_id": "95056171"}, {"ref": "melcony/77777", "kernel_id": "96022085"}, {"ref": "truonglethanh/extensive-eda-and-modeling-xgb-hyperopt", "kernel_id": "96628135"}, {"ref": "vangphamhuu/xgb-fraud-with-magic", "kernel_id": "97556841"}, {"ref": "bijaybeezoe/ieee-fraud-detection", "kernel_id": "97126374"}, {"ref": "bijaybeezoe/ieee-cis-fraud-detection-train-multiple-classifier", "kernel_id": "97273089"}, {"ref": "bijaybeezoe/ieee-cis-fraud-detection-hyperparameter-tuned", "kernel_id": "97514536"}, {"ref": "bijaybeezoe/ieee-cis-fraud-detection-eda", "kernel_id": "100176820"}, {"ref": "keshabh/fraudtransactiondetection", "kernel_id": "102879263"}, {"ref": "shahdooz25/notebook99800c7e65", "kernel_id": "102480702"}, {"ref": "mdnaimislam165436/ieee-csi-fraud-detection", "kernel_id": "102689068"}, {"ref": "burneron124/light-gbm-with-complete-eda", "kernel_id": "102873146"}, {"ref": "vishalaaryan/online-payment-fraud-detection", "kernel_id": "102433476"}, {"ref": "huytrnduyc/btl-data-mining", "kernel_id": "102458223"}, {"ref": "madhavankonebaskaran/ieee-fraud-detection-first-look-and-eda", "kernel_id": "103726488"}, {"ref": "basmalagamal/data-science-fraud-detection", "kernel_id": "103107268"}, {"ref": "ayakhaled51/fraud-detection", "kernel_id": "103155610"}, {"ref": "ayakhaled15/fraud-detection", "kernel_id": "103217799"}, {"ref": "burneron124/lightgbm-for-ieee-cis-fraud-detection", "kernel_id": "103229590"}, {"ref": "ducthien4325/ieee-fraud-rgcn-with-dgl", "kernel_id": "103370300"}, {"ref": "vishalaaryan/fraud-detection-model", "kernel_id": "103192979"}, {"ref": "zeinablaith/notebook8e5946e620", "kernel_id": "104150445"}, {"ref": "daryanovikova/pract1", "kernel_id": "105301460"}, {"ref": "arunsworkspace/fraud-detection", "kernel_id": "105188031"}, {"ref": "ouafaeelmakoudi/final-fraud-detection-model", "kernel_id": "105517458"}, {"ref": "apoorvayerpude/real-time-fraud-detection-system-ieee-cis-dataset", "kernel_id": "106814479"}, {"ref": "thuuyeniiee/ieee-fraud-detection", "kernel_id": "106962860"}, {"ref": "lmanojsai/fraud-detection-pr-auc-optimized-xgboost-pipeline", "kernel_id": "106639915"}, {"ref": "evgendvorkin/ieee-cis-fraud-detection", "kernel_id": "106206972"}, {"ref": "firmanmulti/ieee-cis-fraud-detection", "kernel_id": "106849849"}, {"ref": "bindupautrajyotibrat/lightgbm-fraud-detection-submission", "kernel_id": "107155408"}, {"ref": "bindupautrajyotibrat/mlp-fraud-detection-submission", "kernel_id": "107143569"}, {"ref": "pushpkharat/pkboost-adaptive-gbdt-build-for-drift-resilience", "kernel_id": "107581541"}, {"ref": "wangyangyin/ieee-cis-fraud-detection-models", "kernel_id": "107962168"}, {"ref": "oosmansadiq/fraud-detection", "kernel_id": "107004354"}, {"ref": "ayushsolanki33/solanki-nb1", "kernel_id": "108507155"}, {"ref": "tensura3607/train-teacher-tab-d2ad-ieee-project", "kernel_id": "108847740"}, {"ref": "tensura3607/tab-d2ad-ieee-stage-0", "kernel_id": "108970973"}, {"ref": "nth2165/train-student-tab-d2ad-ieee-project", "kernel_id": "108886752"}, {"ref": "nth2165/train-teacher-tab-d2ad-ieee-project", "kernel_id": "108806291"}, {"ref": "nth2165/tab-d2ad-ieee-project", "kernel_id": "108732944"}, {"ref": "coderiderai/ieee-cis-logic-based-lb-0-587", "kernel_id": "108621397"}, {"ref": "tensura3607/tab-d2ad-ieee-stage-2", "kernel_id": "109808254"}, {"ref": "tensura3607/d2ad-ieee-stage-1-2", "kernel_id": "109010651"}, {"ref": "nth2165/tab-d2ad-ieee-stage-1", "kernel_id": "109177522"}, {"ref": "nth2165/tab-d2ad-ieee-stage-0", "kernel_id": "109059385"}, {"ref": "nth2165/tab-d2ad-ieee-evaluation", "kernel_id": "109574230"}, {"ref": "lat2k6/ieee-cis-eda", "kernel_id": "109140784"}, {"ref": "lat2k6/notebookbd7bc5ec27", "kernel_id": "109053298"}, {"ref": "aasimmalikin/ama-fraud-detection-notebook", "kernel_id": "109693627"}, {"ref": "souvikchattopadhay/fraud-detection", "kernel_id": "110534076"}, {"ref": "tensura3607/tab-d2ad-ieee-256-inference", "kernel_id": "110470105"}, {"ref": "tensura3607/tab-d2ad-ieee-stage-1", "kernel_id": "110070078"}, {"ref": "arthur2085/tab-d2ad-ieee-stage-2-256", "kernel_id": "110321178"}, {"ref": "arthur2085/tab-d2ad-ieee-stage-1-256", "kernel_id": "110313657"}, {"ref": "arthur2085/tab-d2ad-ieee-evaluation", "kernel_id": "110328176"}, {"ref": "shivamardeshna/drag-ieee-testing", "kernel_id": "111808601"}, {"ref": "nguynkimanh/eda-alijs-150-colum-first", "kernel_id": "111752040"}, {"ref": "ayushsolanki33/solanki-nb-2", "kernel_id": "111004735"}, {"ref": "aryant111/cis-multi-head-attn", "kernel_id": "111820074"}, {"ref": "justnothin/sc3021-notebook", "kernel_id": "111713280"}, {"ref": "jiahaozhangtoby/eda-and-models", "kernel_id": "111361926"}, {"ref": "nth2165/tab-d2ad-ieee-stage-1-256", "kernel_id": "111232935"}, {"ref": "nth2165/tab-d2ad-ieee-stage-2-256", "kernel_id": "111115504"}, {"ref": "nth2165/tab-d2ad-ieee-stage-0-256", "kernel_id": "111183149"}, {"ref": "kemaldemirba/end-to-end-advanced-financial-anomaly-engine-0-97", "kernel_id": "111242402"}, {"ref": "arthur2085/tab-d2ad-ieee-256-inference", "kernel_id": "111298229"}, {"ref": "arthur2085/tab-d2ad-ieee-stage-2-256-a0a69d", "kernel_id": "111260943"}, {"ref": "sinavali/frauddetectionwithgan", "kernel_id": "112915287"}, {"ref": "aryant111/eda-cis-lightgbm", "kernel_id": "112475768"}, {"ref": "ziadelbakary/project", "kernel_id": "112592474"}, {"ref": "rashijain2108/ieee-fraud-rgcn-with-dgl", "kernel_id": "112176731"}, {"ref": "gafranijaz/drag-ieee-contrastive-learning", "kernel_id": "112925818"}, {"ref": "luciushatherly/drag-tabular-smote-lucius-3-relations-5000", "kernel_id": "112750996"}, {"ref": "sonalikabisoyi/dataminingfinalproject", "kernel_id": "113404016"}, {"ref": "jenishsorathiya/eda-150-columns", "kernel_id": "113456213"}, {"ref": "sinavali/drag-graphgan-pipeline-250k", "kernel_id": "113994671"}, {"ref": "sinavali/drag-graphgan", "kernel_id": "113040216"}, {"ref": "garryyy10/tab-d2ad-ieee-256-inference", "kernel_id": "113388446"}, {"ref": "jisy736386/ai-fraud-radar-real-time-banking-security-system", "kernel_id": "113503609"}, {"ref": "nhatnguyenhcmusk24/ieee-cis-fraud-detection-solution", "kernel_id": "113558518"}, {"ref": "nhatnguyenhcmusk24/ieee-cis-fraud-detection-data-tracker", "kernel_id": "113464227"}, {"ref": "luciushatherly/drag-graphsmote-fe-5000-v2", "kernel_id": "113973568"}, {"ref": "luciushatherly/drag-tabular-smote-fe-full-dataset", "kernel_id": "113921256"}, {"ref": "luciushatherly/drag-tabular-smote-lucius-3-relations-50000", "kernel_id": "113055267"}, {"ref": "luciushatherly/drag-tabular-smote-lucius-3-relations-25000", "kernel_id": "113052245"}, {"ref": "luciushatherly/drag-tabular-smote-lucius-3-relations-30000", "kernel_id": "113053903"}, {"ref": "luciushatherly/drag-tabular-smote-lucius-3-relations-15000", "kernel_id": "113049017"}, {"ref": "sinavali/drag-gan-graphgan", "kernel_id": "114135265"}, {"ref": "sinavali/notebook9970934c7c", "kernel_id": "114799089"}, {"ref": "muratr7/ieee-fraud-target-encoding-graph-llm-ensemble", "kernel_id": "114169486"}, {"ref": "nth2165/tab-d2ad-ieee-stage-2", "kernel_id": "114727547"}, {"ref": "thanhthuy05/ctgan-augmented-lightgbm-with-bayesian-hyperparame", "kernel_id": "114837487"}, {"ref": "luciushatherly/drag-graphsmote-fe-entire-dataset-v2", "kernel_id": "114102212"}, {"ref": "luciushatherly/drag-graphsmote-fe-500000-v2", "kernel_id": "114101622"}, {"ref": "luciushatherly/drag-graphsmote-fe-400000-v2", "kernel_id": "114101106"}, {"ref": "luciushatherly/drag-graphsmote-fe-50000-v2", "kernel_id": "114098902"}, {"ref": "luciushatherly/drag-graphsmote-fe-100000-v2", "kernel_id": "114099944"}, {"ref": "luciushatherly/drag-graphsmote-fe-200000-v2", "kernel_id": "114100752"}, {"ref": "luciushatherly/drag-graphsmote-fe-5000-v3", "kernel_id": "114100906"}, {"ref": "yahyakemaluybadin/frauddetection", "kernel_id": "114083367"}, {"ref": "rupakganvir/notebookafa66e95a5", "kernel_id": "114480167"}, {"ref": "jhffmn/project-3-fraud-detection", "kernel_id": "114811965"}, {"ref": "kavinkannan2026/notebook555101a578", "kernel_id": "114791716"}, {"ref": "sarbjot88/ragllm-approach", "kernel_id": "114952003"}, {"ref": "jalkuwari/ieee-cis-fraud-detection-v8-presentable", "kernel_id": "115502605"}, {"ref": "alishahroor34060/final-version-data-science", "kernel_id": "115731184"}, {"ref": "visualcomments/webinar-03-classification-task-fraud", "kernel_id": "116662320"}, {"ref": "gallo33henrique/ieee-cis-fraud-detection-model-ml", "kernel_id": "116144028"}, {"ref": "uittdbt/eda-ieee", "kernel_id": "116079075"}, {"ref": "tim1234567890/fraud-detection-model-training", "kernel_id": "116950357"}, {"ref": "hermitsays/ieee-cis-fraud-detection", "kernel_id": "116939400"}, {"ref": "visualcomments/webinar-04-unsupervised-learning", "kernel_id": "117022770"}, {"ref": "sumeyyedemir/fraud-detection", "kernel_id": "117692658"}, {"ref": "jds110/proyecto-planifica-eda", "kernel_id": "117174209"}, {"ref": "davidt02/proyecto-planifica-eda", "kernel_id": "117700539"}, {"ref": "uittdbt/eda-for-columns-v", "kernel_id": "117327349"}, {"ref": "nth2165/ep01-tabd2ad-ieee-stage2", "kernel_id": "117729644"}, {"ref": "nth2165/ep01-tabd2ad-ieee-evaluation", "kernel_id": "117733493"}, {"ref": "nth2165/ep01-tabd2ad-ieee-stage1", "kernel_id": "117697778"}, {"ref": "nth2165/ep01-tabd2ad-ieee-stage0", "kernel_id": "117667977"}, {"ref": "waithakafrancis/data-pipeline-ieee", "kernel_id": "117159325"}, {"ref": "ossamaelhakk/ieee-cis-fraud-detection", "kernel_id": "118525759"}, {"ref": "jds110/proyecto-planifica-unido", "kernel_id": "118026568"}, {"ref": "wojswo/eda-czy", "kernel_id": "118460159"}, {"ref": "iamramank2/ieee-cis-fraud-detection-using-ml-deep-learning", "kernel_id": "119386536"}, {"ref": "elizabethatang/complete-preprocessing-pipeline-function-fraud-dat", "kernel_id": "119246225"}, {"ref": "elizabethatang/catching-financial-fraud-with-machine-learning-pt1", "kernel_id": "119013171"}, {"ref": "fatheism/fraud-transaction-xgboost", "kernel_id": "120875762"}, {"ref": "fatheism/logistic-regression", "kernel_id": "120176622"}, {"ref": "seyfeyza/oryantasyon", "kernel_id": "120009529"}, {"ref": "servetkara/credit-card-fraud-detection", "kernel_id": "120538686"}, {"ref": "ixluminous/fraud-transaction-xgboost", "kernel_id": "120940438"}, {"ref": "visheshaggarwal/phase3-2-gnnwithneighbourloader", "kernel_id": "121211598"}, {"ref": "trishanguddu/epcr-ai-log-5-fraud-digital-twin", "kernel_id": "121689008"}, {"ref": "shibomdas/real-time-fraud-detection-system", "kernel_id": "121149597"}, {"ref": "raissathahira/fraud-detection", "kernel_id": "122151362"}, {"ref": "poemn1212/olap-datamining", "kernel_id": "122205104"}, {"ref": "tensura3607/ep02-tabd2ad-ieee-stage2", "kernel_id": "123617840"}, {"ref": "tensura3607/ep02-tabd2ad-ieee-evaluation", "kernel_id": "123639103"}, {"ref": "tensura3607/ep02-tabd2ad-ieee-stage1", "kernel_id": "123441516"}, {"ref": "tensura3607/ep02-tabd2ad-ieee-stage0", "kernel_id": "123245770"}, {"ref": "tensura3607/ep02-tabd2ad-ieee-ml-baselines", "kernel_id": "123130271"}, {"ref": "lauramisakyan/ml-final-exam", "kernel_id": "123127172"}, {"ref": "madhavmittal23/paper-a-vulnerability-middle-gpu-experiment", "kernel_id": "125727744"}, {"ref": "jivanshc/fraud-detection", "kernel_id": "125926991"}, {"ref": "nth2165/ep03-tabd2ad-ieee-score-lab", "kernel_id": "125898011"}, {"ref": "nth2165/ep03-tabd2ad-ieee-baselines-silif", "kernel_id": "125906364"}, {"ref": "indrajithsudusinghe/ieee-cis-fraud-detection-enterprise-fraud-v2", "kernel_id": "125602474"}, {"ref": "aasutoshkumarsony/explainable-financial-fraud-risk-scoring-system", "kernel_id": "126179076"}, {"ref": "tensura3607/ep04-tabd2ad-ieee-stage1-multiscale", "kernel_id": "126887804"}, {"ref": "tensura3607/ep04-tabd2ad-ieee-stage2-residual-calibrator", "kernel_id": "127029064"}, {"ref": "furkanzmez/ieee-cis-fraud-detection-eda", "kernel_id": "127906368"}, {"ref": "brunoramosmartins/fraud-detection-in-dollars-not-auc", "kernel_id": "128243343"}, {"ref": "auraecosystem/project-pilot", "kernel_id": "129116478"}, {"ref": "nisadikmen/ieee-cis-fraud-detection-eda", "kernel_id": "129877380"}, {"ref": "visualcomments/webinar-04-unsupervised-learning-enhanced", "kernel_id": "130637259"}, {"ref": "watchaponwongapinya/ieee-cis-credit-card-fraud-detection", "kernel_id": "130827428"}, {"ref": "zahrainazahraina/merchant-risk-scoring-v2-ieee-cis-fraud-detectio", "kernel_id": "130451120"}, {"ref": "iemanihsan/ieee-cis-eda-leakage-audit", "kernel_id": "131481615"}, {"ref": "fagneroliv30/ieee-cis-fraud-detection-01", "kernel_id": "131122527"}, {"ref": "thedeveloper0007/financial-fraud-detection", "kernel_id": "132581242"}, {"ref": "pankajmaury/notebookc4b1090dc1", "kernel_id": "132047463"}, {"ref": "karthifde/notebookd612b11733", "kernel_id": "132575331"}, {"ref": "assemafanah/ieee-cis-temporal-gnn-annotated", "kernel_id": "133317245"}, {"ref": "wali0754/halo-entity-leakage-fraud-detection-results", "kernel_id": "133265997"}, {"ref": "fabryzziomezatorres/ieee-fraud-eda-riesgos", "kernel_id": "134523206"}, {"ref": "iemanihsan/stage-1-tabular-lightgbm-baseline", "kernel_id": "134097783"}, {"ref": "iemanihsan/stage-4-jointly-optimized-bgnn", "kernel_id": "134166017"}, {"ref": "iemanihsan/stage-3-frozen-two-stage-res-gnn", "kernel_id": "134162050"}, {"ref": "iemanihsan/stage-2-graph-augmented-gbdt", "kernel_id": "134138489"}, {"ref": "biancaaguinaga/p1-ieee-fraud-eda", "kernel_id": "134675526"}, {"ref": "biancaaguinaga/p1-ieee-fraud-v01b-full-baseline", "kernel_id": "134686689"}, {"ref": "biancaaguinaga/p1-ieee-fraud-v02-uid-features", "kernel_id": "134688028"}, {"ref": "biancaaguinaga/p1-ieee-fraud-v03-feature-audit", "kernel_id": "134689604"}, {"ref": "biancaaguinaga/p1-ieee-fraud-v01-baseline-temporal", "kernel_id": "134684236"}, {"ref": "biancaaguinaga/p1-ieee-fraud-v04-model-comparison", "kernel_id": "134745350"}, {"ref": "ayushkumar67/credit-card-fraud-detection-xgboost", "kernel_id": "134825865"}, {"ref": "nadaaaljaafari/sda-project-fraud-detection", "kernel_id": "134605484"}, {"ref": "jeffreyamc/ptdia-final-eda", "kernel_id": "135317712"}, {"ref": "jeffreyamc/ptdia-final-experimentacion", "kernel_id": "135319332"}, {"ref": "jeffreyamc/ptdia-final-monitoreo", "kernel_id": "135318501"}, {"ref": "jeffreyamc/ptdia-final-sistema-final", "kernel_id": "135324204"}, {"ref": "biancaaguinaga/p1-ieee-fraud-v07-mlp-benchmark", "kernel_id": "135039633"}, {"ref": "biancaaguinaga/p1-ieee-fraud-v05-policy-decision", "kernel_id": "135010278"}, {"ref": "biancaaguinaga/p1-ieee-fraud-v06-policy-robustness", "kernel_id": "135011262"}, {"ref": "oyehia/notebook-ieee-fraud-detection", "kernel_id": "135373241"}, {"ref": "duyton193/cis-fraud-detection-dataset", "kernel_id": "135490473"}, {"ref": "mujtabaabbasml/ieee-cis-fraud-detection-v1", "kernel_id": "135138548"}, {"ref": "senanuretin/ieee-cis-how-much-of-random-cv-auc-is-leakage", "kernel_id": "136455885"}]}
{"competition_id": "14245", "kernels": []}
{"competition_id": "14248", "kernels": []}
{"competition_id": "14253", "kernels": []}
{"competition_id": "14259", "kernels": []}
{"competition_id": "14267", "kernels": []}
{"competition_id": "14268", "kernels": []}
{"competition_id": "14276", "kernels": []}
{"competition_id": "14279", "kernels": []}
{"competition_id": "14282", "kernels": []}
{"competition_id": "14288", "kernels": []}
{"competition_id": "14294", "kernels": []}
{"competition_id": "14295", "kernels": []}
{"competition_id": "14312", "kernels": [{"ref": "kartik2112/keystroke-dynamics-analysis-and-prediction-w-xgb", "kernel_id": "10826311"}, {"ref": "arjunsingh88/keystroke-dynamics-with-random-forest", "kernel_id": "26076853"}, {"ref": "bambotims/keystroke", "kernel_id": "59753103"}]}
{"competition_id": "14313", "kernels": [{"ref": "alekseynp/answering-my-eda-questions", "kernel_id": "4164098"}, {"ref": "abhishek/competition-metric", "kernel_id": "4077812"}, {"ref": "tobikaggle/coulomb-interaction-parallelized-corrected", "kernel_id": "4362733"}, {"ref": "tobikaggle/coulomb-interaction", "kernel_id": "4288536"}, {"ref": "chrisslz/search-for-spurious-information-in-atom-indices", "kernel_id": "4568376"}, {"ref": "titericz/blend-or-not-to-blend-that-is-the-question", "kernel_id": "4722913"}, {"ref": "titericz/giba-r-data-table-simple-features-1-17-lb", "kernel_id": "4661659"}, {"ref": "inversion/atomic-distance-benchmark", "kernel_id": "4013591"}, {"ref": "cpmpml/even-faster-distance-computation", "kernel_id": "4715043"}, {"ref": "cpmpml/ultra-fast-distance-matrix-computation", "kernel_id": "4859815"}, {"ref": "robertburbidge/two-stage-lightgbm-with-hyperopt", "kernel_id": "4335651"}, {"ref": "robertburbidge/distance-features", "kernel_id": "4430469"}, {"ref": "robertburbidge/using-estimated-mulliken-charges", "kernel_id": "4443786"}, {"ref": "robertburbidge/imputing-magnetic-shielding-tensor", "kernel_id": "4447503"}, {"ref": "robertburbidge/evaluating-magnetic-shield-tensors", "kernel_id": "4448222"}, {"ref": "robertburbidge/atomic-properties", "kernel_id": "4448711"}, {"ref": "robertburbidge/imputing-molecular-features", "kernel_id": "4436320"}, {"ref": "robertburbidge/predicting-with-acsfs-cv-0-504", "kernel_id": "4567925"}, {"ref": "urmaspitsi/speed-up-distance-calc-even-more", "kernel_id": "4096051"}, {"ref": "danofer/fastai-tabular-starter-fork", "kernel_id": "4108882"}, {"ref": "danofer/bonds-from-structure-data", "kernel_id": "4109048"}, {"ref": "danofer/atomic-distances-with-h2o-automl", "kernel_id": "4083939"}, {"ref": "danofer/molecular-properties-starter-v2", "kernel_id": "4399243"}, {"ref": "danofer/molecular-starter", "kernel_id": "4398816"}, {"ref": "rohanrao/competition-metric-in-r", "kernel_id": "4439761"}, {"ref": "rohanrao/eda-features-models-starter-code-in-r", "kernel_id": "4447102"}, {"ref": "rohanrao/basic-dashboard-of-visualizations-in-r", "kernel_id": "4447153"}, {"ref": "brandenkmurray/coulomb-interaction-parallelized", "kernel_id": "4302649"}, {"ref": "yassinealouini/molecule-graphs-with-networkx", "kernel_id": "4458269"}, {"ref": "yassinealouini/giba-features", "kernel_id": "4700388"}, {"ref": "pappukrjha/know-data-using-pandas-and-seaborn", "kernel_id": "4547086"}, {"ref": "namesj/beating-benchmark-with-linear-regression", "kernel_id": "4329072"}, {"ref": "lalitapatel/use-all-property-files-for-molecular-properties", "kernel_id": "4726426"}, {"ref": "silence2/exploratorydataanalysis-no-modelling-here", "kernel_id": "4431129"}, {"ref": "tonyyy/schnet-qm9", "kernel_id": "4539826"}, {"ref": "tonyyy/schnet-champs", "kernel_id": "4557437"}, {"ref": "tonyyy/schnet-magnetic-shielding", "kernel_id": "4565061"}, {"ref": "tonyyy/schnet-mulliken-charges", "kernel_id": "4561857"}, {"ref": "scirpus/spatial-structure", "kernel_id": "4493383"}, {"ref": "scirpus/clustering-molecules", "kernel_id": "4296181"}, {"ref": "scirpus/divide-and-conquer", "kernel_id": "4096657"}, {"ref": "scirpus/stanislav-blinov", "kernel_id": "4563537"}, {"ref": "scirpus/angles-and-distances-and-partial-charges", "kernel_id": "4633630"}, {"ref": "scirpus/coulomb-matrix-representation", "kernel_id": "4691838"}, {"ref": "vicensgaitan/blazing-fast-coulomb-interaction-in-r", "kernel_id": "4413021"}, {"ref": "vicensgaitan/giba-r-data-table-simplefeat-cyv-interaction", "kernel_id": "4677319"}, {"ref": "stocks/giba-s-simple-features-download-v-8-lb-1-17", "kernel_id": "4802984"}, {"ref": "stocks/3d-molecule-visualization-with-coloring-hack", "kernel_id": "4814755"}, {"ref": "cttsai/champs-lgbm-agg-starter", "kernel_id": "4134406"}, {"ref": "cttsai/champs-lgbm-starter", "kernel_id": "4077977"}, {"ref": "rpeer333/molecular-properties-detailed-eda", "kernel_id": "4879188"}, {"ref": "rpeer333/champs-competition-baseline-trivial-predictions", "kernel_id": "4986066"}, {"ref": "kenmatsu4/3d-structure-plots", "kernel_id": "4190866"}, {"ref": "super13579/simple-eda-and-lightgbm", "kernel_id": "4079065"}, {"ref": "mmezni/linear-regression", "kernel_id": "4343017"}, {"ref": "enrique1500/predict-mulliken-charges-with-catboost", "kernel_id": "4616845"}, {"ref": "enrique1500/easy-potential-energy-prediction", "kernel_id": "4460430"}, {"ref": "chechir/molecular-eda-3d-plots", "kernel_id": "4460720"}, {"ref": "uberkinder/efficient-metric", "kernel_id": "4091708"}, {"ref": "ksayantani/starter-code", "kernel_id": "4187758"}, {"ref": "jpmiller/another-distance-calculation-gpu-superfast", "kernel_id": "4168016"}, {"ref": "saurabh7/compact-feature-engineering-lgbm-py-version", "kernel_id": "4727414"}, {"ref": "svrcek/atomic-distance-benchmark", "kernel_id": "4102172"}, {"ref": "manojprabhaakr/fast-eda-pandas-profiling", "kernel_id": "4474405"}, {"ref": "tunguz/atomic-distances-with-h2o-automl", "kernel_id": "4077747"}, {"ref": "mahadevv/graph-based-feature-generation", "kernel_id": "4776246"}, {"ref": "soerendip/calculate-angles-and-dihedrals-with-networkx", "kernel_id": "4756994"}, {"ref": "allunia/molecules-eda", "kernel_id": "4462301"}, {"ref": "marianeg/learning-a-bit-about-molecule-structures", "kernel_id": "4379267"}, {"ref": "amitkumarjaiswal/rdkit-chainer", "kernel_id": "4343264"}, {"ref": "corochann/visualize-molecules-with-rdkit", "kernel_id": "4208315"}, {"ref": "corochann/eda-and-graph-nn-baseline-modeling", "kernel_id": "4379483"}, {"ref": "hiteshsom/predicting-molecular-properties-first-kernel", "kernel_id": "4441781"}, {"ref": "kirichenko17roman/simple-lightgbm-in-r", "kernel_id": "4097749"}, {"ref": "cyberia/eda-set-theory-contingency-tables", "kernel_id": "4477558"}, {"ref": "stoney71/eda-in-r", "kernel_id": "4250859"}, {"ref": "ggeo79/j-coupling-lightbgm-gpu-dihedral-angle", "kernel_id": "4173288"}, {"ref": "code1110/additional-data-as-a-single-file", "kernel_id": "4546842"}, {"ref": "code1110/eda-for-additional-data-are-they-useful", "kernel_id": "4306040"}, {"ref": "bhavesh09/simple-submission", "kernel_id": "4086190"}, {"ref": "chrisevans/kagglekc-sample-submission", "kernel_id": "4586067"}, {"ref": "robikscube/baseline-lgb-script-molecular-properties", "kernel_id": "4086658"}, {"ref": "robikscube/exploring-the-target-scalar-coupling-constant", "kernel_id": "4086785"}, {"ref": "robikscube/the-race-to-predict-molecular-properties", "kernel_id": "4168131"}, {"ref": "hervind/speed-up-coulomb-interaction-56x-faster", "kernel_id": "4321632"}, {"ref": "hervind/distance-and-target-visualization", "kernel_id": "4082695"}, {"ref": "kingychiu/1-r-3", "kernel_id": "4587898"}, {"ref": "kingychiu/inverse-square-law", "kernel_id": "4557929"}, {"ref": "ersawant/kernel6d9dc44b13", "kernel_id": "4974199"}, {"ref": "sagheachraf/feature-engineering-physical-chemical-measurement", "kernel_id": "4983787"}, {"ref": "artgor/brute-force-feature-engineering", "kernel_id": "4134198"}, {"ref": "artgor/using-meta-features-to-improve-model", "kernel_id": "4162311"}, {"ref": "artgor/molecular-properties-eda-and-models", "kernel_id": "4080021"}, {"ref": "artgor/validation-feature-selection-interpretation-etc", "kernel_id": "4338378"}, {"ref": "rajaguru/data-validation-undestanding-tensorflow-tfx", "kernel_id": "4701686"}, {"ref": "hrmello/is-type-related-to-scalar-coupling", "kernel_id": "4078334"}, {"ref": "lpachuong/statstack", "kernel_id": "4758723"}, {"ref": "dspider/dataexplor", "kernel_id": "4077153"}, {"ref": "pestipeti/interactive-3d-molecule-structure", "kernel_id": "4077793"}, {"ref": "jpnewmenji/exploration", "kernel_id": "4603332"}, {"ref": "rio114/coulomb-interaction-speed-up", "kernel_id": "4189233"}, {"ref": "gunnyliu/explore-molecules", "kernel_id": "4714741"}, {"ref": "hotvar/regression-approach", "kernel_id": "4516983"}, {"ref": "rishabh155/simple-eda", "kernel_id": "4403191"}, {"ref": "educatedguessing/diy-atom-centered-symmetry-functions", "kernel_id": "4431195"}, {"ref": "vyordanov/molecular-xgboost-gpu", "kernel_id": "4106253"}, {"ref": "seshadrikolluri/simple-one-line-submission", "kernel_id": "4094223"}, {"ref": "seshadrikolluri/simple-atomic-pair-distance-based-model", "kernel_id": "4095586"}, {"ref": "jmtest/molecule-with-openbabel", "kernel_id": "4181962"}, {"ref": "kabure/lightgbm-full-pipeline-model", "kernel_id": "4092182"}, {"ref": "kabure/simple-eda-lightgbm-autotuning-w-hyperopt", "kernel_id": "4078146"}, {"ref": "kublakahn/another-simple-lightgbm-in-r", "kernel_id": "4104528"}, {"ref": "seriousran/just-speed-up-calculating-atomic-distances", "kernel_id": "4077683"}, {"ref": "kszczupak/feature-generator-basic-distance", "kernel_id": "4779263"}, {"ref": "makahana/pointnet", "kernel_id": "4975750"}, {"ref": "returnofsputnik/stop-using-distance-matrix-computation", "kernel_id": "4927144"}, {"ref": "latimerb/r-linear-regression-tutorial", "kernel_id": "4431487"}, {"ref": "joydeb28/ml-models", "kernel_id": "4083408"}, {"ref": "pridegoodmusic/cis-trans-isomerism-feature", "kernel_id": "4979805"}, {"ref": "marcelotamashiro/lgb-public-kernels-plus-more-features", "kernel_id": "4940122"}, {"ref": "maxkapsecker/principal-component-analysis-of-structure-files", "kernel_id": "4087180"}, {"ref": "tarunpaparaju/champs-competition-chemistry-background-and-eda", "kernel_id": "4323873"}, {"ref": "ustyk5/python-eda-1-scalar-coupling-exploration", "kernel_id": "4090112"}, {"ref": "rakibilly/fastai-tabular-starter", "kernel_id": "4086752"}, {"ref": "rakibilly/faster-distance-calculation-from-benchmark", "kernel_id": "4085856"}, {"ref": "shivamanhar/molecular-eda-ml", "kernel_id": "4281736"}, {"ref": "graf10a/pmp-basic-eda", "kernel_id": "4077626"}, {"ref": "linards/feature-generation-with-molmod-library", "kernel_id": "4423628"}, {"ref": "yi233333/feature-lmbtr", "kernel_id": "4680367"}, {"ref": "daijin12/coulomb-interaction-high-perf-no-loop-almost", "kernel_id": "4319804"}, {"ref": "bashir4909/intro-eda-part1-types", "kernel_id": "4285581"}, {"ref": "bigironsphere/molecular-geometry-feature-engineering-eda", "kernel_id": "4147590"}, {"ref": "surajpm/steal-like-an-atom", "kernel_id": "4752520"}, {"ref": "danmusetoiu/staking-and-stealing-like-a-molecule", "kernel_id": "4865402"}, {"ref": "pipboyguy/initial-eda-molecules", "kernel_id": "4206942"}, {"ref": "buchan/a-neural-network-approach", "kernel_id": "4210316"}, {"ref": "vaibhavmathur96/using-meta-features-to-improve-model", "kernel_id": "4245497"}, {"ref": "vaibhavmathur96/using-meta-features-to-improve-model-851b9f", "kernel_id": "4309396"}, {"ref": "vaibhavmathur96/blending-best-results-for-molecular-properties", "kernel_id": "4796911"}, {"ref": "vaibhavmathur96/molecular-properties-eda-and-models", "kernel_id": "4702245"}, {"ref": "rhortelanos/get-your-data-ready-to-eda-distances", "kernel_id": "4734491"}, {"ref": "harkirat155/someresourcesfyi-sharing-as-i-find-some", "kernel_id": "4941104"}, {"ref": "basu369victor/lets-try-out-regression-with-deep-learning", "kernel_id": "4638442"}, {"ref": "basu369victor/a-deep-dive-into-atoms-and-molecules", "kernel_id": "4426806"}, {"ref": "todnewman/keras-neural-net-for-champs", "kernel_id": "4608658"}, {"ref": "rohit97/lgb-with-data-exploartion", "kernel_id": "4823080"}, {"ref": "ricardtrinchet/exploratory-analysis-and-clustering-champs", "kernel_id": "4730702"}, {"ref": "fulowa/creating-smiles", "kernel_id": "4289671"}, {"ref": "fulowa/visualization", "kernel_id": "4102971"}, {"ref": "matheusfrota/implementing-model-with-catboost", "kernel_id": "4831265"}, {"ref": "conway/data-exploration-and-feature-engineering", "kernel_id": "4445109"}, {"ref": "gideonvos/r-lightgbm-1-580", "kernel_id": "4976841"}, {"ref": "lkuen89/feature-engineering-with-structures-file-and-lgb", "kernel_id": "4458969"}, {"ref": "roydatascience/predicting-molecular-properties-with-light-gbm", "kernel_id": "4087254"}, {"ref": "roydatascience/steal-like-an-electron", "kernel_id": "4902429"}, {"ref": "adrianoavelar/gridsearch-for-eachtype-lb-1-0", "kernel_id": "4669832"}, {"ref": "adrianoavelar/bond-calculaltion-lb-0-82", "kernel_id": "4326522"}, {"ref": "adrianoavelar/molecule-pred-feature-eng-lb-0-685", "kernel_id": "4302702"}, {"ref": "adrianoavelar/eachtype", "kernel_id": "4403188"}, {"ref": "adrianoavelar/bond-calculation-lb-0-82", "kernel_id": "4369930"}, {"ref": "borisdee/how-to-easy-visualization-of-molecules", "kernel_id": "4141808"}, {"ref": "borisdee/predicting-mulliken-charges-with-acsf-descriptors", "kernel_id": "4315856"}, {"ref": "speedwagon/permutation-importance", "kernel_id": "4481124"}, {"ref": "akashdhorajiya/predicting-molecular-properties-datamerging", "kernel_id": "4316712"}, {"ref": "akashdhorajiya/predicting-molecular-properties-featureengineering", "kernel_id": "4348036"}, {"ref": "siddhrath/lightgbm-full-pipeline-model", "kernel_id": "4183825"}, {"ref": "shuichiohtsuka/data-learning", "kernel_id": "4570251"}, {"ref": "googlemkunthe/trick-of-divided-for-loop", "kernel_id": "4732138"}, {"ref": "milkshakespeare/keras-neural-net-for-champs-e0a01c", "kernel_id": "4684507"}, {"ref": "milkshakespeare/using-meta-features-to-improve-model-e80ac7", "kernel_id": "4239920"}, {"ref": "gtteixeira/deepchem-using-additional-data-for-train-and-test", "kernel_id": "4708198"}, {"ref": "steboss/nnn-modelling-types-1", "kernel_id": "4975211"}, {"ref": "manasghosal/brnn-using-additional-dataset", "kernel_id": "4638610"}, {"ref": "dhananjay3/eda-all-you-need-to-know", "kernel_id": "4084155"}, {"ref": "geoman3/initial-data-foray", "kernel_id": "4125997"}, {"ref": "zaharch/quantum-machine-9-qm9", "kernel_id": "4184451"}, {"ref": "zaharch/lightgbm-full-pipeline-model-qm9", "kernel_id": "4198712"}, {"ref": "timsonrisa/starter-kernel", "kernel_id": "4082324"}, {"ref": "prashantmahamuni/measuringmagneticinteractions", "kernel_id": "4539091"}, {"ref": "prashantmahamuni/number-of-items-in-each-molecule", "kernel_id": "4444213"}, {"ref": "avivlevi815/eda-without-the-additional-data", "kernel_id": "4442696"}, {"ref": "tryssss123/kernel388de186ca", "kernel_id": "4105448"}, {"ref": "darkrai007/kernel68f2cb76f6", "kernel_id": "4093067"}, {"ref": "aqsa2777/getting-started", "kernel_id": "4162654"}, {"ref": "ummarda3/insight-in-data", "kernel_id": "4223264"}, {"ref": "jazivxt/all-this-over-a-dog", "kernel_id": "4082794"}, {"ref": "lvulliard/linear-regression-approach", "kernel_id": "4141764"}, {"ref": "lvulliard/regression-approach", "kernel_id": "4128038"}, {"ref": "asauve/comparison-of-acsf-built-charges-with-open-babel", "kernel_id": "4335276"}, {"ref": "asauve/v7-estimation-of-mulliken-charges-with-open-babel", "kernel_id": "4224367"}, {"ref": "asauve/dataset-with-number-of-bonds-between-atoms", "kernel_id": "4113017"}, {"ref": "asauve/training-set-molecule-visualization", "kernel_id": "4083328"}, {"ref": "underscrew/atomic-distance-initial-eda", "kernel_id": "4076936"}, {"ref": "lakshmi25npathi/molecular-properies", "kernel_id": "4334222"}, {"ref": "rajwardhanshinde/another-one", "kernel_id": "4951321"}, {"ref": "rajwardhanshinde/blend-of-blends", "kernel_id": "4916411"}, {"ref": "joatom/nearest-molecular-neighbors", "kernel_id": "4785452"}, {"ref": "aekoch95/bonds-from-structure-data", "kernel_id": "4081762"}, {"ref": "vaishvik25/keras-nn-s-ieee", "kernel_id": "4949778"}, {"ref": "vaishvik25/1-r-3-hyperpar-tuning", "kernel_id": "4607667"}, {"ref": "vaishvik25/blend", "kernel_id": "4769449"}, {"ref": "redfoongus/predicting-molecular-properties-lightgbm", "kernel_id": "4538830"}, {"ref": "lesamu/easily-extract-bond-information-with-openbabel", "kernel_id": "4350289"}, {"ref": "sameerdev7/simple-eda-lightgbm-catboost", "kernel_id": "4089918"}, {"ref": "edeanf/190621-predmolprop-exploration", "kernel_id": "4424620"}, {"ref": "slivka83/bokeh-eda", "kernel_id": "4624656"}, {"ref": "scaomath/pandas-slow-xyz-fast-parallel-geometry-features", "kernel_id": "4961517"}, {"ref": "scaomath/lb-2-0-features-dscribe-acsf-descriptors", "kernel_id": "4853876"}, {"ref": "scaomath/no-memory-reduction-workflow-for-each-type-lb-1-28", "kernel_id": "4754464"}, {"ref": "scaomath/lgb-giba-features-qm9-custom-objective-in-python", "kernel_id": "4739077"}, {"ref": "scaomath/parallelization-of-coulomb-yukawa-interaction", "kernel_id": "4684922"}, {"ref": "archaizzard/simple-basics-of-nmr", "kernel_id": "4681401"}, {"ref": "khiwila/kernel23577c2198", "kernel_id": "4931577"}, {"ref": "khiwila/kernel94fee73d73", "kernel_id": "4412159"}, {"ref": "roccomeli/easy-xyz-to-smiles-conversion", "kernel_id": "4444579"}, {"ref": "ramanchandra/predicting-molecualr-properties", "kernel_id": "4081339"}, {"ref": "mrfrancois/merging-data-frames-and-creating-simple-features", "kernel_id": "4118968"}, {"ref": "leonshangguan/molecule-eda-including-3d-public-version", "kernel_id": "4608731"}, {"ref": "kmat2019/neural-network-modeling-with-multiple-outputs", "kernel_id": "4143842"}, {"ref": "kmat2019/effective-feature", "kernel_id": "4174286"}, {"ref": "kmat2019/ring-structure-features", "kernel_id": "4275761"}, {"ref": "mykolazotko/3d-visualization-of-magnetic-interactions", "kernel_id": "4712079"}, {"ref": "mykolazotko/3d-visualization-of-molecules-with-plotly", "kernel_id": "4664615"}, {"ref": "clelong95/predicting-molecular-properties-random-forest", "kernel_id": "4076932"}, {"ref": "jjohnsumn/eda-champs", "kernel_id": "4898603"}, {"ref": "incals/kernel4d50314976", "kernel_id": "4112017"}, {"ref": "carpediemamigo/xgb-skopt-fs-tuning-training-per-molecule-type", "kernel_id": "4935232"}, {"ref": "marciodelima/predicaomolecular", "kernel_id": "4818806"}, {"ref": "gontcharovd/basic-feature-creation-made-easy-with-r-data-table", "kernel_id": "4850870"}, {"ref": "rangsiman/testing", "kernel_id": "4081129"}, {"ref": "yaochc/kerneleyaochc", "kernel_id": "4915906"}, {"ref": "danielchemie/convert-structures-useful-format", "kernel_id": "4751704"}, {"ref": "danielchemie/convert-structures-to-more-useful-format-original", "kernel_id": "4738231"}, {"ref": "plvicente/kernelaf28659e48", "kernel_id": "4552375"}, {"ref": "cedben/squid", "kernel_id": "4236484"}, {"ref": "gmzyakut/molecules", "kernel_id": "4548054"}, {"ref": "mittalh/predicting-mol-prop", "kernel_id": "4496680"}, {"ref": "ruhong/champs-scalar-coupling-lgb", "kernel_id": "5548244"}, {"ref": "ruhong/champs-scalar-coupling-blend", "kernel_id": "5548874"}, {"ref": "ruhong/keras-neural-net-for-champs", "kernel_id": "5554352"}, {"ref": "ruhong/champs-scalar-coupling-keras", "kernel_id": "5554360"}, {"ref": "ruhong/champs-scalar-coupling-eda-baseline", "kernel_id": "5507194"}, {"ref": "ruhong/champs-scalar-coupling-preprocess", "kernel_id": "5509680"}, {"ref": "ruhong/champs-scalar-coupling-lasso", "kernel_id": "5513316"}, {"ref": "ruhong/champs-scalar-coupling-rf", "kernel_id": "5514776"}, {"ref": "ruhong/champs-scalar-coupling-xgb", "kernel_id": "5518229"}, {"ref": "ruhong/champs-scalar-coupling-blend-median", "kernel_id": "5658103"}, {"ref": "chrisslz/makegraphinput", "kernel_id": "5258270"}, {"ref": "danofer/fork-estimation-of-charges-with-openbabel", "kernel_id": "5159403"}, {"ref": "roymurphy99/predicting-molecular-properties-eda-part-1", "kernel_id": "5108202"}, {"ref": "toshik/schnet-starter-kit", "kernel_id": "5366976"}, {"ref": "tonyyy/vanilla-schnet", "kernel_id": "5585562"}, {"ref": "priteshshrivastava/molecular-properties-blending-top-kernels", "kernel_id": "5255582"}, {"ref": "scirpus/convert-problem-to-finding-images", "kernel_id": "5012555"}, {"ref": "scirpus/a-bit-of-fun", "kernel_id": "5041770"}, {"ref": "scirpus/1-mpnn", "kernel_id": "5170592"}, {"ref": "stocks/schnet-by-j-type-helped-me-win-silver-57", "kernel_id": "5602023"}, {"ref": "rpeer333/pytorch-dgl-schnet-a-graph-convolutional-net", "kernel_id": "5473249"}, {"ref": "rpeer333/super-simple-10-nearest-atoms-features", "kernel_id": "5556444"}, {"ref": "rpeer333/only-distance-type-and-angle-of-10-nearest-atoms", "kernel_id": "5556515"}, {"ref": "fnands/mpnn-skip-2", "kernel_id": "5354605"}, {"ref": "fnands/1-mpnn", "kernel_id": "5016040"}, {"ref": "fnands/makegraphinput", "kernel_id": "5011581"}, {"ref": "fnands/internalmakegraphinput", "kernel_id": "5131332"}, {"ref": "chechir/champs-ensemble", "kernel_id": "5268486"}, {"ref": "chechir/nncont-seed-26", "kernel_id": "5563219"}, {"ref": "manojprabhaakr/base-model-molecular-properties-catboost", "kernel_id": "5263846"}, {"ref": "aerdem4/lightweight-version-of-2-65-custom-nn", "kernel_id": "5579937"}, {"ref": "laleh83/predicting-molecular-properties-modeling", "kernel_id": "5284104"}, {"ref": "rexhaif/metric-benchmark", "kernel_id": "5018077"}, {"ref": "tanlikesmath/the-race-to-prevent-blindness-aptos-2019", "kernel_id": "5260428"}, {"ref": "harshit92/fork-from-kernel-1-481", "kernel_id": "5250461"}, {"ref": "somnambwl/basicedgefeatures", "kernel_id": "5099636"}, {"ref": "somnambwl/competition-analysis-champs", "kernel_id": "5037093"}, {"ref": "somnambwl/eda-rings", "kernel_id": "5568138"}, {"ref": "somnambwl/1jhc-split", "kernel_id": "5468668"}, {"ref": "senkin13/15th-stacking", "kernel_id": "5578086"}, {"ref": "fabiendaniel/creating-bond-centered-2d-images", "kernel_id": "5374066"}, {"ref": "fabiendaniel/cnn-on-1jhn-2d-images", "kernel_id": "5374776"}, {"ref": "fabiendaniel/3jhn-model-1-fold0-mse", "kernel_id": "5330661"}, {"ref": "anermakov/rfs-with-distance-features-only-lb-1-57", "kernel_id": "5599813"}, {"ref": "thesinsay/schnet", "kernel_id": "5556483"}, {"ref": "prabhatkumarsahu/predicting-molecular-properties-prabhat", "kernel_id": "5204615"}, {"ref": "hhtun21/keras-dnn", "kernel_id": "5385838"}, {"ref": "jaehyeongan/molecular-prediction-basic-eda-and-lightgbm", "kernel_id": "5683529"}, {"ref": "filemide/keras-neural-net-and-distance-features", "kernel_id": "5514608"}, {"ref": "filemide/distance-criskiev-hyparam-cont-1-66", "kernel_id": "5379643"}, {"ref": "filemide/schnet-starter-kit", "kernel_id": "5390269"}, {"ref": "filemide/chemistry-of-best-models-1-801", "kernel_id": "5393442"}, {"ref": "infoabhitech/predicting-molecular-properties", "kernel_id": "5274334"}, {"ref": "xwxw2929/best-score-of-each-type-combination", "kernel_id": "5449836"}, {"ref": "xwxw2929/keras-nn-with-multi-output", "kernel_id": "5427310"}, {"ref": "xwxw2929/keras-neural-net-and-distance-features", "kernel_id": "5384601"}, {"ref": "nasere/predict-molecular", "kernel_id": "5097874"}, {"ref": "vaibhavmathur96/a-beginners-guide-to-blending", "kernel_id": "5253714"}, {"ref": "abazdyrev/nn-w-o-skew", "kernel_id": "5403124"}, {"ref": "marcogorelli/criskiev-s-distances-more-estimators-groupkfold", "kernel_id": "5282879"}, {"ref": "tawe141/extracting-data-from-qm9-xyz-files", "kernel_id": "5325418"}, {"ref": "wangyoucao1234/shiyan-train-learning-rate", "kernel_id": "5506829"}, {"ref": "cdeotte/molecule-animations", "kernel_id": "5421244"}, {"ref": "nicoliaraujo/link-prediction-using-gnn", "kernel_id": "5574945"}, {"ref": "vandalzzz/lgb-v3-5-lb-1-657", "kernel_id": "5445165"}, {"ref": "roydatascience/tuning-molecules-using-bayesian-optimization", "kernel_id": "5334485"}, {"ref": "roydatascience/chemistry-of-best-models-1-895", "kernel_id": "5287012"}, {"ref": "bejeweled/1jhc-t-sne-visualization", "kernel_id": "5502892"}, {"ref": "siddheshsingh/kernelce3d1bb3c8", "kernel_id": "5193202"}, {"ref": "ukveteran/starter-jma-32", "kernel_id": "5018095"}, {"ref": "criskiev/distance-is-all-you-need-lb-1-481", "kernel_id": "5202636"}, {"ref": "thehemen/predicting-by-adjacent-couplings-v2", "kernel_id": "5484665"}, {"ref": "tobimichigan/scalar-coupling", "kernel_id": "5575431"}, {"ref": "cerlymarco/feature-engineering-with-mol2vec", "kernel_id": "5081424"}, {"ref": "joshxsarah/custom-gcn-10th-place-solution", "kernel_id": "5586294"}, {"ref": "nikitinale/distance-criskiev-hyparam-cont-1-662", "kernel_id": "5400529"}, {"ref": "linhlpv/train1-kaggle", "kernel_id": "5661228"}, {"ref": "asauve/leaderbord-scores-and-models", "kernel_id": "5556505"}, {"ref": "petersk20/openbabel-kernel-error", "kernel_id": "5040338"}, {"ref": "petersk20/schnet-10th-place-solution", "kernel_id": "5362171"}, {"ref": "edeanf/predmolprop-modeling-xgboost", "kernel_id": "5431876"}, {"ref": "edeanf/predmolprop-featureengineering-slow", "kernel_id": "5342708"}, {"ref": "edeanf/predmolprop-featureengineering-finaltrain", "kernel_id": "5342839"}, {"ref": "hd2019/using-rdkit-and-pyg-for-graph-model-dataset", "kernel_id": "5164211"}, {"ref": "felipemello/nn-and-lgb-tricks-and-pipeline-for-top-5-lb", "kernel_id": "5588655"}, {"ref": "felipemello/features-for-top-5-lb-with-nn-or-lgb", "kernel_id": "5577045"}, {"ref": "phykn88/attention-example", "kernel_id": "5600481"}, {"ref": "scaomath/mpnn-fit-generator", "kernel_id": "5237163"}, {"ref": "scaomath/qm7-coulomb-matrix-eigenvalue-features", "kernel_id": "5303190"}, {"ref": "jesucristo/single-lgbm-2-242-top54", "kernel_id": "5581337"}, {"ref": "captainkore/predicting-molecular-properties-theory-eda", "kernel_id": "5234355"}, {"ref": "yushg123/arithmetic-operations-on-numerical-features", "kernel_id": "5618270"}, {"ref": "robin111/molecule-transformer-w-message-passing", "kernel_id": "5588039"}, {"ref": "alexandraalxva/kernel62a334d02a", "kernel_id": "5067560"}, {"ref": "mykolazotko/xyz2graph-xyz-file-to-molecular-graph", "kernel_id": "5647356"}, {"ref": "choihao/model-stacking", "kernel_id": "5584155"}, {"ref": "choihao/data-of-distance-qm9-giba", "kernel_id": "5581712"}, {"ref": "choihao/distance-qm9-giba", "kernel_id": "5581863"}, {"ref": "carpediemamigo/mulliken-ktensor-xgboost-prediction", "kernel_id": "5468186"}, {"ref": "harshitt21/predicting-molecular-properties-using-xgboost", "kernel_id": "5395826"}, {"ref": "kfurudate/first-kaggle", "kernel_id": "5403387"}, {"ref": "everyitfrombit/auto-champs-featuretools-borutapy", "kernel_id": "5076610"}, {"ref": "sai2020/predmolprop-modeling-xgboost-tuning", "kernel_id": "5534301"}, {"ref": "jian1201/fork-from-kernel-1-481", "kernel_id": "5364885"}, {"ref": "jagannathrk/keras-neural-net-for-champs", "kernel_id": "6764072"}, {"ref": "yyyzzzwww/permutation-importance", "kernel_id": "6812670"}, {"ref": "linhlpv/dual-mpnn", "kernel_id": "6766411"}, {"ref": "edeanf/predmolprop-modeling-dnn-keras-gpu", "kernel_id": "6765445"}, {"ref": "hostil/champs-data-table-features-and-top-4-correlations", "kernel_id": "6962509"}, {"ref": "sai2020/predmolprop-linearregression", "kernel_id": "6295015"}, {"ref": "hueahgase189/dual-mpnn", "kernel_id": "6794700"}, {"ref": "hueahgase189/mpnn-skip", "kernel_id": "6787557"}, {"ref": "hpc8899/mpnn-skip-2", "kernel_id": "6770603"}, {"ref": "hpc8899/dual-mpnn", "kernel_id": "6770577"}, {"ref": "hau8899/dual-mpnn", "kernel_id": "6776400"}, {"ref": "hau8899/pytorch-dgl-schnet-a-graph-convolutional-net", "kernel_id": "6274694"}, {"ref": "levanlinh/dual-mpnn", "kernel_id": "6803172"}, {"ref": "linhlpv/gen-mol-feats", "kernel_id": "7135792"}, {"ref": "linhlpv/vanilla-schnet-v1", "kernel_id": "7451016"}, {"ref": "hau8899/schnet-1", "kernel_id": "7048471"}, {"ref": "hau8899/mpnn-visualization", "kernel_id": "7368817"}, {"ref": "linh21122434/mpnn-visualization", "kernel_id": "7406316"}, {"ref": "dalwindr/movielens-recommendation-engine-dalwins001", "kernel_id": "8214620"}, {"ref": "narendra/eda-molecular-properties", "kernel_id": "16548448"}, {"ref": "zzb610/molecular-xgboost-gpu", "kernel_id": "16238711"}, {"ref": "puppakcheera/easy-cif-to-smiles-conversion", "kernel_id": "20916221"}, {"ref": "thevode/champs-scalar-test", "kernel_id": "26477660"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "joshuaokolo/predicting-molecular-properties", "kernel_id": "29878117"}, {"ref": "saibot99/easy-xyz-to-smiles-conversion", "kernel_id": "30974318"}, {"ref": "joshuaokolo/exploring-molecular-properties", "kernel_id": "30194750"}, {"ref": "joshuaokolo/3d-molecule-visualization", "kernel_id": "30311235"}, {"ref": "kazumakuroda/edited-schnet-starter-kit", "kernel_id": "30344342"}, {"ref": "mkakhil/notebook868151093a", "kernel_id": "32610221"}, {"ref": "princesharma10/r-dashboard", "kernel_id": "51235717"}, {"ref": "zgo2016/scalar-coupling", "kernel_id": "53576512"}, {"ref": "weikuoli/cnn-on-1jhn-2d-images", "kernel_id": "68992593"}, {"ref": "weikuoli/molecular-coupling-constant-data-preparation", "kernel_id": "69635103"}, {"ref": "aleksandrrevenko/10k-symmetry", "kernel_id": "70397510"}]}
{"competition_id": "14315", "kernels": [{"ref": "abhishek/training-fast-rcnn-using-torchvision", "kernel_id": "4520959"}, {"ref": "vikramtiwari/baseline-predictions-using-inception-resnet-v2", "kernel_id": "4162884"}, {"ref": "priteshshrivastava/imageai-resnet50-2018-kernel", "kernel_id": "4498874"}, {"ref": "cttsai/inference-script-with-pretrained-models-from-tfhub", "kernel_id": "4420686"}, {"ref": "manishrai/pre-trained-model-evaluation", "kernel_id": "4383716"}, {"ref": "manishrai/pre-trained-model-evaluation-v2", "kernel_id": "4334523"}, {"ref": "manishrai/data-pipelined", "kernel_id": "4168268"}, {"ref": "akashdeepjassal/tf-hub-inception-resnet", "kernel_id": "4886737"}, {"ref": "akashdeepjassal/inception-resnet-tf-hub-submission", "kernel_id": "4940917"}, {"ref": "noorkhokhar330gmailc/image-processing-of-object", "kernel_id": "4390789"}, {"ref": "gagandeep16/object-detection-script", "kernel_id": "4965068"}, {"ref": "bbchip/visualization-tutorial-let-s-make-a-wordcloud", "kernel_id": "4987937"}, {"ref": "bbchip/download-metadata-and-segmentation-images", "kernel_id": "4986613"}, {"ref": "tenffe/openimage-baseline-with-imageai", "kernel_id": "4434346"}, {"ref": "akashsuper2000/baseline-predictions-using-inception-resnet-v2", "kernel_id": "4335101"}, {"ref": "siddhrath/data-fetching-with-aws", "kernel_id": "4143799"}, {"ref": "bitumok/kernel-from-newbie-to-newbies", "kernel_id": "4583310"}, {"ref": "christianwallenwein/visualization-useful-functions-small-eda", "kernel_id": "4964130"}, {"ref": "omarsayed7/open-images-2019", "kernel_id": "4737171"}, {"ref": "nhlr21/tf-hub-bounding-boxes-coordinates-corrected", "kernel_id": "4825369"}, {"ref": "xhlulu/intro-to-tf-hub-for-object-detection", "kernel_id": "4236014"}, {"ref": "yw6916/my-yolo-v3", "kernel_id": "4473448"}, {"ref": "yw6916/how-to-build-yolo-v3", "kernel_id": "4781313"}, {"ref": "yw6916/generate-prediction-string", "kernel_id": "4755451"}, {"ref": "shilparpns/inference-script-with-pretrained-models-from-tfhub", "kernel_id": "4545013"}, {"ref": "nhokoi90/15th-place-2018", "kernel_id": "4837976"}, {"ref": "reejungkim/image-processing", "kernel_id": "4224701"}, {"ref": "shivasai7898/open-images-2019-object-detection", "kernel_id": "4860832"}, {"ref": "jundotluo/imageprocessing", "kernel_id": "4992254"}, {"ref": "dzspin/actual-competition-data-classes-hierarchy", "kernel_id": "5864816"}, {"ref": "immune/open-images-eda", "kernel_id": "5600766"}, {"ref": "akashdeepjassal/tensorflow-hub-inception-resnet-v2-submission", "kernel_id": "5186320"}, {"ref": "sumanthmeenan/open-images-obj-deection", "kernel_id": "5645859"}, {"ref": "thanatoz/understanding-open-image-v5-classes-hierarchy", "kernel_id": "5120607"}, {"ref": "aleksandradeis/data-augmentation-packages-overview", "kernel_id": "5018125"}, {"ref": "caoyihutang/open-images-2019-object-detection", "kernel_id": "5186197"}, {"ref": "winshare/coco-dataset-invertor", "kernel_id": "5123921"}, {"ref": "anshuljdhingra/intro-to-tf-hub-for-object-detection", "kernel_id": "5295263"}, {"ref": "harshitholmes/comp-4-od", "kernel_id": "5414953"}, {"ref": "gipark2001/intro-to-tf-hub-for-object-detection", "kernel_id": "5033103"}, {"ref": "gipark2001/baseline-predictions-using-inception-resnet-v2", "kernel_id": "5034426"}, {"ref": "wafadje/object-detection", "kernel_id": "5228586"}, {"ref": "userliu/kernel-for-credit-card-fraud", "kernel_id": "5204574"}, {"ref": "ashleshaprix/kernel1b745e215a", "kernel_id": "5788873"}, {"ref": "harsh45/understanding-open-image-v5-classes-hierarchy", "kernel_id": "5815135"}, {"ref": "jian1201/intro-to-tf-hub-for-object-detection", "kernel_id": "5364895"}, {"ref": "hli2020/training-fast-rcnn-using-torchvision", "kernel_id": "5333802"}, {"ref": "metathesis/yolo-image-eda", "kernel_id": "6746703"}, {"ref": "hoangho0162/intro-to-tf-hub-for-object-detection", "kernel_id": "6864778"}, {"ref": "doctorde/dection-system", "kernel_id": "6841508"}, {"ref": "doctorde/intro-to-tf-hub-for-object-detection", "kernel_id": "6841404"}, {"ref": "shivamanhar/computer-vision", "kernel_id": "7321084"}, {"ref": "raajparekh/object-detection-with-opencv-yolov3", "kernel_id": "7401952"}, {"ref": "belugazk/kernel-from-newbie-to-newbies", "kernel_id": "7951873"}, {"ref": "mulbajjasha/yolo-v3", "kernel_id": "7463589"}, {"ref": "anindabhattacharjee/ssd-googleimage-challenge2019", "kernel_id": "8304691"}, {"ref": "pranjalkandhari/kernel67edb7c64c", "kernel_id": "8846960"}, {"ref": "sharmayush/notebookc641aa03be", "kernel_id": "12372871"}, {"ref": "lvjunyu/intro-to-tf-hub-for-object-detection", "kernel_id": "14684396"}, {"ref": "riturajtalukdar12/object-det", "kernel_id": "20577249"}, {"ref": "andreimuresanu/doordetection", "kernel_id": "21135400"}, {"ref": "samyukthamobile/imageai-resnet50-2018-kernel", "kernel_id": "23665790"}, {"ref": "csmohamedayman/dl-cv-open-images-2019-object-detection", "kernel_id": "30794061"}, {"ref": "yash2203/object-detection", "kernel_id": "32360805"}, {"ref": "vafaknm/object-detection-using-tf2-efficientdet-d4-model", "kernel_id": "33777019"}, {"ref": "rani753/object-identify", "kernel_id": "35933073"}, {"ref": "karthiktarakasai/object-det", "kernel_id": "37626721"}, {"ref": "jocelyndumlao/ai-report-generative-ai", "kernel_id": "40221983"}, {"ref": "nghiaquang/ml-thesis", "kernel_id": "57227377"}, {"ref": "kristoferst/open-images-2019-object-detection", "kernel_id": "59439688"}, {"ref": "samadnajm/yolo-video-detection-caption-generation", "kernel_id": "67287171"}, {"ref": "mennaelsayed1/yolov8-segmentation-on-custom-dataset", "kernel_id": "73205828"}, {"ref": "aman8440/notebook85ea4eda89", "kernel_id": "76052452"}, {"ref": "anandasau/yolo-video-detection-caption-generation", "kernel_id": "79606588"}, {"ref": "rjayshree/open-images-2019-object-detection", "kernel_id": "90757444"}]}
{"competition_id": "14316", "kernels": [{"ref": "seriousran/googld-ai-visual-relationship-data-exploration", "kernel_id": "4172282"}, {"ref": "danish788/beat-the-lb", "kernel_id": "4520831"}, {"ref": "sumanthmeenan/open-images-visual-relationship", "kernel_id": "5645845"}, {"ref": "anshuljdhingra/visual-relationship", "kernel_id": "5295264"}, {"ref": "jian1201/revised-beat-the-benchmark", "kernel_id": "5364907"}, {"ref": "hli2020/googld-ai-visual-relationship-data-exploration", "kernel_id": "5334073"}]}
{"competition_id": "14318", "kernels": [{"ref": "ankushsoni/ankushsoni", "kernel_id": "3753222"}, {"ref": "f20150031/kernele536877bc8", "kernel_id": "3700497"}, {"ref": "f20150098/2015a7ps0098g-a3", "kernel_id": "3758244"}, {"ref": "gchhablani/2016a7ps0022g-dm3", "kernel_id": "3698293"}, {"ref": "warlockz/2015b4a70481-ada", "kernel_id": "3764609"}, {"ref": "f20150469/2015b4a70469g-dm3", "kernel_id": "3776061"}, {"ref": "priyanshu3112/2015b4a70379g-dm-3", "kernel_id": "3765806"}, {"ref": "aaddt10/2015b3a70400g-dm3", "kernel_id": "3776190"}, {"ref": "f20150348/2015b3a70348g-dma3", "kernel_id": "3793863"}, {"ref": "y15b3a70535g/2015b3a70535g-dm3", "kernel_id": "3778464"}, {"ref": "shreya333/2015b3a70546g-dm3", "kernel_id": "3759687"}, {"ref": "anirudhmehra/2016a7ps0033g-dm3", "kernel_id": "3764947"}, {"ref": "rajasaurus/2016a7ps0045g-dm3", "kernel_id": "3744092"}, {"ref": "sourabhbits/2015a7ts0078g-data-mining-assignment-3", "kernel_id": "3718962"}, {"ref": "f20150395/2015b3a70395g-dma3", "kernel_id": "3752763"}, {"ref": "hasijaprakhar/2016a7ps0082g-dm-ker3", "kernel_id": "3758610"}, {"ref": "dhruvkhetarpal/2016a7ps0021g-dm-3", "kernel_id": "3759299"}, {"ref": "f20150100/2015a7ps0100g", "kernel_id": "3756556"}, {"ref": "sandstorm2/2016a7ps0024g-dm3", "kernel_id": "3740728"}, {"ref": "f20150030/2015a7ps0030g-dm-3", "kernel_id": "3756332"}, {"ref": "banner25/kernel0cff3b7c42", "kernel_id": "3763889"}, {"ref": "banner25/kernel7defda409e", "kernel_id": "3750995"}, {"ref": "dhruvinrsoni/2015a7ps0047g-kernel2e59609f8b", "kernel_id": "3757154"}, {"ref": "f20150106/2015a7ps0106g-dm3", "kernel_id": "3761155"}]}
{"competition_id": "14325", "kernels": []}
{"competition_id": "14330", "kernels": []}
{"competition_id": "14331", "kernels": [{"ref": "cheimamezdour/tp5-semantic-textual-similarity", "kernel_id": "46641989"}]}
{"competition_id": "14333", "kernels": []}
{"competition_id": "14336", "kernels": [{"ref": "matthewpuch/kernelfd766737ba", "kernel_id": "3730056"}, {"ref": "albinaus/resnet50-10epochs", "kernel_id": "70009326"}]}
{"competition_id": "14341", "kernels": []}
{"competition_id": "14345", "kernels": [{"ref": "ananaymital/clustering", "kernel_id": "3705441"}, {"ref": "dmak21/kernel0d3d4a54a3", "kernel_id": "3726881"}, {"ref": "f20160081/kernele131c4dee6", "kernel_id": "3724470"}, {"ref": "f20160081/2016a7ps0081", "kernel_id": "3724517"}, {"ref": "yogeshdasgaonkar/2018phxp0415g-lab4", "kernel_id": "3723016"}, {"ref": "y15b3a70535g/2015b3a70535g-lab4", "kernel_id": "3742568"}, {"ref": "jfd348/2016a7ps0282g", "kernel_id": "3722995"}, {"ref": "hegab7/cluster", "kernel_id": "11619945"}]}
{"competition_id": "14350", "kernels": []}
{"competition_id": "14384", "kernels": [{"ref": "qadfafasfafafafsafa/imdb-predictor", "kernel_id": "3723701"}]}
{"competition_id": "14389", "kernels": []}
{"competition_id": "14405", "kernels": []}
{"competition_id": "14420", "kernels": [{"ref": "antgoldbloom/training-using-google-automl", "kernel_id": "4992238"}, {"ref": "mrosett/optimizing-data-loading-performance", "kernel_id": "4736323"}, {"ref": "mariakesa/incrementalpca", "kernel_id": "4742373"}, {"ref": "mariakesa/exploringwavelettransformswithwidgets", "kernel_id": "4674360"}, {"ref": "mariakesa/pcaforvisualizingbatcheffects", "kernel_id": "4667148"}, {"ref": "darraghdog/simple-experiment-view", "kernel_id": "4799379"}, {"ref": "chimael/08-recursion-positive-controls-per-exp", "kernel_id": "4742214"}, {"ref": "gidutz/starter-kernel-recursion-pharmaceuticals", "kernel_id": "4724090"}, {"ref": "gnomows/draft-recursion-cellular", "kernel_id": "4619106"}, {"ref": "hmendonca/sample-submission", "kernel_id": "4619270"}, {"ref": "ripcurl/visualization-and-submission", "kernel_id": "4705644"}, {"ref": "code1110/cell-image-eda-all-in-kernel", "kernel_id": "4623114"}, {"ref": "tanlikesmath/rcic-fastai-starter", "kernel_id": "4837800"}, {"ref": "yhn112/resnet18-baseline-pytorch-ignite", "kernel_id": "4868241"}, {"ref": "pheaboo/a-journey-through-the-experiment-design", "kernel_id": "4753444"}, {"ref": "apap950419/visualizing-batch-effects-with-t-sne", "kernel_id": "4761497"}, {"ref": "apap950419/visualizing-the-effect-of-sirna-treatment", "kernel_id": "4856418"}, {"ref": "leighplt/densenet121-pytorch", "kernel_id": "4564912"}, {"ref": "micpie/rcic-basic-eda", "kernel_id": "4564601"}, {"ref": "towardsentropy/save-rgb-image-pytorch", "kernel_id": "4586675"}, {"ref": "towardsentropy/controls-present-on-all-plates", "kernel_id": "4636009"}, {"ref": "sarques/recursion-2019-data-description-and-basic-eda", "kernel_id": "4762815"}, {"ref": "chandyalex/recursion-cellular-keras-densenet", "kernel_id": "4820812"}, {"ref": "alexanderkhar/transfer-learning-keras-starter-by-alex-khar", "kernel_id": "4561608"}, {"ref": "xhlulu/recursion-2-headed-efficientnet-2-stage-training", "kernel_id": "4975600"}, {"ref": "xhlulu/recursion-2019-load-resize-and-save-images", "kernel_id": "4638533"}, {"ref": "leighlin0511/using-saved-model-submission-0-129", "kernel_id": "4854065"}, {"ref": "jesucristo/quick-visualization-eda", "kernel_id": "4555103"}, {"ref": "zzh89982330/visualization-sirans-cell-types-stats", "kernel_id": "4776039"}, {"ref": "antgoldbloom/doing-inference-using-google-automl", "kernel_id": "5073160"}, {"ref": "anlthms/resnet18-baseline-pytorch-two-path-network", "kernel_id": "5820211"}, {"ref": "christopherberner/hungarian-algorithm-to-optimize-sirna-prediction", "kernel_id": "5714638"}, {"ref": "darraghdog/berkeley-mids-w251-week07-lab", "kernel_id": "5979999"}, {"ref": "ibraheemmoosa/domain-adaptation", "kernel_id": "5764236"}, {"ref": "ibraheemmoosa/recursion-fast-ai-per-cell-line-all", "kernel_id": "5256727"}, {"ref": "ibraheemmoosa/recursion-fast-ai-channel-1-2-3-4-5-6-resnet50", "kernel_id": "5235355"}, {"ref": "ibraheemmoosa/recursion-fast-ai-all-pred-cell-line", "kernel_id": "5261472"}, {"ref": "ibraheemmoosa/recursion-fast-ai-all-pred-site", "kernel_id": "5266781"}, {"ref": "ibraheemmoosa/recursion-fast-ai-channel-all", "kernel_id": "5428908"}, {"ref": "michelml/base-model-training-cross-validation", "kernel_id": "5149445"}, {"ref": "michelml/save-best-epoch-only-pytorch-ignite-cellsignal", "kernel_id": "5303064"}, {"ref": "michelml/save-best-epoch-only-pytorch-ignite-public", "kernel_id": "5316771"}, {"ref": "hmendonca/rcic-pytorch-utils", "kernel_id": "5002947"}, {"ref": "hmendonca/fold1h4r3-arcenetb4-2-256px-rcic-lb-0-9759", "kernel_id": "5937926"}, {"ref": "giuliasavorgnan/plates-leak-clear-visualization", "kernel_id": "5188251"}, {"ref": "purplejester/joining-channels-into-rgb-images-parallel", "kernel_id": "5487356"}, {"ref": "hasangoni/eda-and-fastai-implementation-effort-6-channels", "kernel_id": "5759357"}, {"ref": "junkoda/nuclei-detection-and-nuclei-brightness", "kernel_id": "5629797"}, {"ref": "immune/beginner-cellular-eda", "kernel_id": "5610688"}, {"ref": "evagian/preprocessing1-balanced-subsampling", "kernel_id": "5702235"}, {"ref": "evagian/resnet50", "kernel_id": "5688094"}, {"ref": "sumanthmeenan/recursion-cellular-image-classification", "kernel_id": "5645813"}, {"ref": "ymicky/pytorch-lightning-resnet34-baseline", "kernel_id": "5726908"}, {"ref": "apap950419/mapping-each-sirna-and-plate-to-groups", "kernel_id": "5185218"}, {"ref": "anthonyemeka12/cellularimages", "kernel_id": "5077275"}, {"ref": "anthonyemeka12/cellularclassificationwithtensorflow", "kernel_id": "5767100"}, {"ref": "clynie/cellular", "kernel_id": "5250842"}, {"ref": "roydatascience/cellular-stacking-1-5", "kernel_id": "5298188"}, {"ref": "rivesunder/recursion-2-headed-cnn-and-training-in-2-stages", "kernel_id": "5095790"}, {"ref": "d1348k/how-to-taking-over-the-kernel-for-long-training", "kernel_id": "5965379"}, {"ref": "christianwallenwein/beginners-guide-to-rcic-with-fast-ai", "kernel_id": "5612997"}, {"ref": "mingzhao03/the-race-to-classify-sirnas", "kernel_id": "5963674"}, {"ref": "zaharch/keras-model-boosted-with-plates-leak", "kernel_id": "5025042"}, {"ref": "cherring/rxrx-kerasapplications-starter", "kernel_id": "5158575"}, {"ref": "hitoidas/very-basic-training", "kernel_id": "5151638"}, {"ref": "elanrosen/celluar-stacking-modified", "kernel_id": "5464713"}, {"ref": "bonhart/eda-efficientnet-creating-video-pytorch", "kernel_id": "5178314"}, {"ref": "davidalami/mode-stacking-1-5-x", "kernel_id": "5947241"}, {"ref": "sergei416/cellular-image-classification-visualization-eda", "kernel_id": "5127490"}, {"ref": "cyannani123/keras-cellular-image-classification", "kernel_id": "5629183"}, {"ref": "pandarecluse/kernel756f972165", "kernel_id": "5928317"}, {"ref": "learningjia/recursion-cellucellular", "kernel_id": "5824737"}, {"ref": "darraghdog/berkeley-mids-w251-week7-lab", "kernel_id": "7986665"}, {"ref": "darwinwin/cellular-stacking-1-5", "kernel_id": "8098224"}, {"ref": "darwinwin/doing-inference-using-google-automl", "kernel_id": "8130802"}, {"ref": "renicorn/vaegan-rxrx-pytorch", "kernel_id": "9141977"}, {"ref": "sleymanemreik/kernel5ad183b61c", "kernel_id": "10959797"}, {"ref": "fanbyprinciple/rcic-fastai", "kernel_id": "11606349"}, {"ref": "abdullaalmansoori/recursion-autoencoders", "kernel_id": "11957819"}, {"ref": "elcaiseri/recursion-cellular-image-classification-pytorch", "kernel_id": "15545889"}, {"ref": "madhvendramishra/rcic-eda", "kernel_id": "17653230"}, {"ref": "thepetertowers/cellularimgclass-cnn", "kernel_id": "21326574"}, {"ref": "sarakeeble/torch-testing", "kernel_id": "21347494"}, {"ref": "rhythmcam/pytorch-basic-df-ds-loader", "kernel_id": "22845548"}, {"ref": "liucong12601/mlchapter3", "kernel_id": "32285902"}, {"ref": "kostaskonst8/notebookb53404d7e3", "kernel_id": "33131621"}, {"ref": "pronkin/tcvc-video-colorization", "kernel_id": "35149779"}, {"ref": "errrri/euna-recursion-cellular-image-classification", "kernel_id": "52322578"}, {"ref": "errrri/eutotoro-recursion-cellular-image-classification", "kernel_id": "52269474"}, {"ref": "errrri/keras-model-boosted-with-plates-leak", "kernel_id": "53373733"}, {"ref": "dhanishtajaggiiii/rcicproject", "kernel_id": "101688028"}, {"ref": "payal156/projectdl", "kernel_id": "101676536"}, {"ref": "harry890/notebook7c7507f377-cc37c2", "kernel_id": "102928002"}, {"ref": "wolverine33/dlproject", "kernel_id": "102483704"}, {"ref": "himanshusardana2/notebooke5f447a26f", "kernel_id": "117342797"}, {"ref": "rohanmalhotracodes/newfinalrunbest", "kernel_id": "117248405"}, {"ref": "prabhpreetsingh5/two-headed-efficientnet", "kernel_id": "117274597"}, {"ref": "manyagarg1105/deeplearning", "kernel_id": "117252957"}, {"ref": "sudo12111/notebook65cacd1c6a", "kernel_id": "117070861"}, {"ref": "maributa/rxrx1-train", "kernel_id": "133094679"}, {"ref": "maributa/predict", "kernel_id": "134266087"}]}
{"competition_id": "14422", "kernels": []}
{"competition_id": "14424", "kernels": []}
{"competition_id": "14429", "kernels": [{"ref": "dlschool/baseline-solution", "kernel_id": "3761179"}]}
{"competition_id": "14434", "kernels": []}
{"competition_id": "14440", "kernels": []}
{"competition_id": "14442", "kernels": []}
{"competition_id": "14445", "kernels": []}
{"competition_id": "14451", "kernels": []}
{"competition_id": "14453", "kernels": []}
{"competition_id": "14461", "kernels": []}
{"competition_id": "14469", "kernels": []}
{"competition_id": "14476", "kernels": []}
{"competition_id": "14481", "kernels": []}
{"competition_id": "14482", "kernels": []}
{"competition_id": "14486", "kernels": []}
{"competition_id": "14496", "kernels": []}
{"competition_id": "14497", "kernels": []}
{"competition_id": "14499", "kernels": [{"ref": "vquilon/conquerx-nlp-sentiment-analysis", "kernel_id": "66028093"}]}
{"competition_id": "14501", "kernels": [{"ref": "phaelpolicena/kernel67ddb3a491", "kernel_id": "3825046"}, {"ref": "diogojose/kernel0d36031c5e", "kernel_id": "3980928"}]}
{"competition_id": "14502", "kernels": []}
{"competition_id": "14507", "kernels": []}
{"competition_id": "14508", "kernels": []}
{"competition_id": "14520", "kernels": []}
{"competition_id": "14522", "kernels": []}
{"competition_id": "14539", "kernels": []}
{"competition_id": "14540", "kernels": []}
{"competition_id": "14541", "kernels": []}
{"competition_id": "14544", "kernels": [{"ref": "sorokin/spectral-distortion-model", "kernel_id": "4297511"}]}
{"competition_id": "14545", "kernels": []}
{"competition_id": "14549", "kernels": [{"ref": "diegoquinonez1/analisis-exploratorio-variables-likert", "kernel_id": "4072008"}]}
{"competition_id": "14556", "kernels": []}
{"competition_id": "14573", "kernels": [{"ref": "mathematician/easy-submition-from-cian", "kernel_id": "3859350"}, {"ref": "bobmoroshev/lin-submition", "kernel_id": "3862899"}, {"ref": "dmintry/feature-from-sky", "kernel_id": "3867587"}, {"ref": "vanchachanell/notebook576d31d5d5", "kernel_id": "30609792"}, {"ref": "vladiknt/cian-image-classification", "kernel_id": "44710109"}]}
{"competition_id": "14579", "kernels": []}
{"competition_id": "14595", "kernels": [{"ref": "himasha0421/doom-rl", "kernel_id": "11498299"}]}
{"competition_id": "14606", "kernels": [{"ref": "celniker/initial-eda-and-model", "kernel_id": "3881546"}, {"ref": "yuvalja/bertclassification-yuval", "kernel_id": "4252947"}, {"ref": "dudyzil/cp-ds-guild-nlp-challenge-bow-nb", "kernel_id": "4239964"}]}
{"competition_id": "14611", "kernels": []}
{"competition_id": "14612", "kernels": []}
{"competition_id": "14619", "kernels": [{"ref": "okhinko/kekas-cleaner", "kernel_id": "4003798"}, {"ref": "vels3113/kernel05c31c8db4", "kernel_id": "5294454"}]}
{"competition_id": "14627", "kernels": []}
{"competition_id": "14629", "kernels": []}
{"competition_id": "14642", "kernels": []}
{"competition_id": "14647", "kernels": []}
{"competition_id": "14652", "kernels": [{"ref": "abhishek/mask-rcnn-with-augmentation-and-multiple-masks", "kernel_id": "4564873"}, {"ref": "abhishek/move-all-dicom-images-to-train-and-test-folders", "kernel_id": "4506613"}, {"ref": "abhishek/convert-to-png-on-steroids-with-actual-data", "kernel_id": "4531102"}, {"ref": "abhishek/train-your-own-mask-rcnn", "kernel_id": "4533457"}, {"ref": "abhishek/inference-for-mask-rcnn", "kernel_id": "4534233"}, {"ref": "abhishek/png-images-in-flattened-format", "kernel_id": "4534827"}, {"ref": "abhishek/visualizing-submission-file", "kernel_id": "4536771"}, {"ref": "abhishek/image-mask-augmentations", "kernel_id": "4552217"}, {"ref": "soulmachine/siim-deeplabv3", "kernel_id": "4687973"}, {"ref": "soulmachine/convert-to-png-images", "kernel_id": "4571317"}, {"ref": "sakares/low-contrast-image-processing", "kernel_id": "4522292"}, {"ref": "leopiney/a-breathtaking-image-processing", "kernel_id": "4539380"}, {"ref": "rooshroosh/image-metadata-exploration", "kernel_id": "4567687"}, {"ref": "steubk/first-steps-with-siim-acr-pneumothorax-data", "kernel_id": "4573369"}, {"ref": "bguberfain/align-lung-images-using-pre-trained-model", "kernel_id": "4562119"}, {"ref": "swapnilpote/siim-acr-pneumothorax-segmentation-eda", "kernel_id": "4486817"}, {"ref": "thomasseleck/fastest-way-to-load-data-from-dicom-files", "kernel_id": "4514087"}, {"ref": "abimannan/siim-segmentation", "kernel_id": "4639860"}, {"ref": "raddar/better-sample-submission", "kernel_id": "4532477"}, {"ref": "raddar/sample-submission-leak", "kernel_id": "4836147"}, {"ref": "jiageng/eda-anchor-scales-and-ratio", "kernel_id": "4653655"}, {"ref": "freeman89/eda-can-you-see-the-pneumothorax", "kernel_id": "4487460"}, {"ref": "hmendonca/first-steps-with-siim-acr-hist-equalization", "kernel_id": "4575734"}, {"ref": "hmendonca/inference-for-mask-rcnn-filtered", "kernel_id": "4551155"}, {"ref": "hmendonca/mask-rcnn-and-medical-transfer-learning-siim-acr", "kernel_id": "4551485"}, {"ref": "giuliasavorgnan/pneumothorax-models-ensemble-average", "kernel_id": "4592092"}, {"ref": "ekhtiar/finding-pneumo-part-1-eda-and-unet", "kernel_id": "4584108"}, {"ref": "ekhtiar/lung-segmentation-cropping-resunet-tf-keras", "kernel_id": "4849421"}, {"ref": "maxwell110/dive-into-dicom-datasets", "kernel_id": "4488511"}, {"ref": "raghuiyer/keras-starter-128x128-unet-xception", "kernel_id": "4657997"}, {"ref": "aakashnain/dicom-to-jpg-png-on-steroids", "kernel_id": "4509488"}, {"ref": "dmitrysarov/correspondence-of-masks-in-annotations-and-cc", "kernel_id": "4544384"}, {"ref": "safavieh/playing-around-with-meta-data", "kernel_id": "4502645"}, {"ref": "safavieh/side-project-gender-predictor", "kernel_id": "4664480"}, {"ref": "juliaelliott/siim-reference-model", "kernel_id": "4431537"}, {"ref": "jonnoftw/siim-image-converter", "kernel_id": "4545160"}, {"ref": "seesee/full-dataset", "kernel_id": "4495284"}, {"ref": "dskswu/intro-nested-u-net-full-data-forked", "kernel_id": "4539245"}, {"ref": "retyidoro/eda-of-pneumothorax-dataset", "kernel_id": "4710404"}, {"ref": "adityaecdrid/extra-x-ray-dataset", "kernel_id": "4575624"}, {"ref": "akashdeepjassal/data-visualization", "kernel_id": "4489638"}, {"ref": "noorkhokhar330gmailc/x-ray-image-segmentation", "kernel_id": "4551831"}, {"ref": "msafi04/pneumothoraxseg-visualization", "kernel_id": "4538859"}, {"ref": "adkarhe/dicom-images", "kernel_id": "4486651"}, {"ref": "ryches/kaggle-magic-conch", "kernel_id": "4805738"}, {"ref": "jesperdramsch/intro-chest-xray-dicom-viz-u-nets-full-data", "kernel_id": "4483634"}, {"ref": "ar90ngas/pack-dicom-and-mask-into-single-jpeg-file", "kernel_id": "4576310"}, {"ref": "aussie84/pneumotorax-prediction", "kernel_id": "4735840"}, {"ref": "aussie84/eda-segmentation-from-convnet-autoencoder-vs-pca", "kernel_id": "4569566"}, {"ref": "sumanthmeenan/pneumothorax-segmentation", "kernel_id": "4856572"}, {"ref": "seriousran/image-pre-processing-for-chest-x-ray", "kernel_id": "4519426"}, {"ref": "soumikrakshit/pneumothorax-segmentation-using-unet-in-tensorflow", "kernel_id": "4548088"}, {"ref": "meaninglesslives/visualizing-train-set-masks", "kernel_id": "4484582"}, {"ref": "meaninglesslives/make-pneumothorax-classifer-data", "kernel_id": "4550898"}, {"ref": "meaninglesslives/unet-with-efficientnet-encoder-in-keras", "kernel_id": "4798230"}, {"ref": "meaninglesslives/unet-xception-keras-for-pneumothorax-segmentation", "kernel_id": "4614006"}, {"ref": "meaninglesslives/pneumothorax-classifier", "kernel_id": "4883862"}, {"ref": "meaninglesslives/nested-unet-with-efficientnet-encoder", "kernel_id": "4944241"}, {"ref": "iafoss/data-repack-and-image-statistics", "kernel_id": "4540399"}, {"ref": "iafoss/hypercolumns-pneumothorax-fastai-0-831-lb", "kernel_id": "4667692"}, {"ref": "iafoss/postprocessing-for-hypercolumns-kernel", "kernel_id": "4704361"}, {"ref": "iafoss/hard-negative-pneumothorax", "kernel_id": "4743152"}, {"ref": "abhi3ichigo/playing-with-the-data", "kernel_id": "4537371"}, {"ref": "anisayari/url-to-get-label-annotations-csv-file", "kernel_id": "4514003"}, {"ref": "anisayari/full-script-to-get-data-png-multiprocess-py3", "kernel_id": "4512353"}, {"ref": "anisayari/simple-data-augmentation-fastai", "kernel_id": "4573284"}, {"ref": "anisayari/generate-more-training-data-fastai", "kernel_id": "4601681"}, {"ref": "zxyu1995/data-repack-and-image-640", "kernel_id": "4983019"}, {"ref": "plasticgrammer/siim-pneumothorax-segmentation-playground", "kernel_id": "4556638"}, {"ref": "cdm9804/histogram-equalization-to-improve-contrast", "kernel_id": "4609702"}, {"ref": "tanreinama/tensorflow-baseline-using-u-net", "kernel_id": "4515172"}, {"ref": "sarmat/extract-metadata-from-dicom", "kernel_id": "4613195"}, {"ref": "mnpinto/pneumothorax-fastai-u-net", "kernel_id": "4537528"}, {"ref": "aleksandradeis/pneumothorax-submission-sanity-check", "kernel_id": "4997131"}, {"ref": "aleksandradeis/simple-pneumothorax-eda", "kernel_id": "4528663"}, {"ref": "shubham505/intoduction-to-concept-x-ray", "kernel_id": "4520466"}, {"ref": "ahmedwahdan/testing", "kernel_id": "4813453"}, {"ref": "zungmann/siim-acr-pneumothorax-write-images", "kernel_id": "4836125"}, {"ref": "zungmann/siim-acr-pneumothorax-write-mask", "kernel_id": "4707841"}, {"ref": "karanjakhar/starter-siim", "kernel_id": "4503312"}, {"ref": "mobassir/unet-with-efficientnet-encoder-in-keras-0-8375-lb", "kernel_id": "4913049"}, {"ref": "ppepijn/keras-data-generator-1024x1024-unet", "kernel_id": "4601364"}, {"ref": "zaharch/sample-submission-on-steroids", "kernel_id": "4553206"}, {"ref": "nevermorefhq/intro-chest-xray-dicom-viz-u-nets-full-data", "kernel_id": "4728805"}, {"ref": "antoinechoffrut/the-geometry-of-pneumothorax-siim-acr", "kernel_id": "4822122"}, {"ref": "bashturtle/siim-acr-sharing-jpeg-jp2-dcm2-data", "kernel_id": "4530576"}, {"ref": "vaishvik25/ensemble-v2", "kernel_id": "4814188"}, {"ref": "yonghan/training-set-with-siim-acr-pneumothorax", "kernel_id": "4559391"}, {"ref": "yonghan/analysis-of-pneumothorax-image", "kernel_id": "4532311"}, {"ref": "bajrangchapola/exploring-datasets", "kernel_id": "4533340"}, {"ref": "sinitame/classification-with-transfert-learning", "kernel_id": "4988342"}, {"ref": "plvicente/kernelbef9a48547", "kernel_id": "4511656"}, {"ref": "unvirtual/eda-of-training-test-data", "kernel_id": "4603696"}, {"ref": "onealbao/dicom-to-jpeg-conversion-kernel", "kernel_id": "4444044"}, {"ref": "smerllo/finding-pneumothorax-distribution", "kernel_id": "4633252"}, {"ref": "smerllo/download-the-dataset-directly-to-the-cloud", "kernel_id": "4586503"}, {"ref": "soonhwankwon/final-0-8729-hypercolumns-pneumothorax-fastai-1024", "kernel_id": "5410792"}, {"ref": "rishabhiitbhu/unet-with-resnet34-encoder-pytorch", "kernel_id": "5155883"}, {"ref": "aleksandradeis/data-augmentation-packages-overview", "kernel_id": "5018125"}, {"ref": "wuwei41/unet-plus-plus-with-efficientnet-encoder-256x256", "kernel_id": "5068577"}, {"ref": "kokecacao/siim-public-leaderboard-progression", "kernel_id": "5577306"}, {"ref": "harendrap/fastai-unet-resnet34", "kernel_id": "5483126"}, {"ref": "omershect/simple-classifier-augmentation", "kernel_id": "5187758"}, {"ref": "mobassir/unet-with-se-resnext50-32x4d-encoder-for-stage-2", "kernel_id": "5686553"}, {"ref": "mobassir/ensembling-top-2-kernels-lb-8433", "kernel_id": "5284890"}, {"ref": "creditor/create-train-rle", "kernel_id": "5614095"}, {"ref": "takafumis0911/intro-chest-xray-dicom-viz-u-nets-full-data", "kernel_id": "5264425"}, {"ref": "yangpeng1995/building-extraction-in-dl-training-and-inference", "kernel_id": "5351211"}, {"ref": "hannahdan/pneumothorax-segmentation", "kernel_id": "5062974"}, {"ref": "jian1201/unet-with-efficientnet-encoder-in-keras", "kernel_id": "5364827"}, {"ref": "tst008/unet-with-resnet34-encoder-pytorch", "kernel_id": "5807449"}, {"ref": "lhd0430/siim-acr-pneumothorax-segmentation", "kernel_id": "6766548"}, {"ref": "bioscience/dicom-to-jpeg-conversion-kernel-s", "kernel_id": "6006025"}, {"ref": "panda22/siim-stage2-working", "kernel_id": "7953735"}, {"ref": "volodymyrpivoshenko/unet-efficientnet", "kernel_id": "7674090"}, {"ref": "reemrashwan/saving-infected-images-and-masks-as-jpg", "kernel_id": "9369469"}, {"ref": "reemrashwan/u-net-to-predict-pneumothorax", "kernel_id": "9399378"}, {"ref": "nealys1049/siim-deeplabv3", "kernel_id": "9991731"}, {"ref": "omarsayed7/pret-train-seg", "kernel_id": "10024415"}, {"ref": "afsan123/unet-plus-plus-with-efficientnet-encoder", "kernel_id": "10989779"}, {"ref": "afsan123/unet-xception-keras-for-pneumothorax-segmentation", "kernel_id": "10990135"}, {"ref": "begoat/unet-with-resnet34-encoder-pytorch", "kernel_id": "11907219"}, {"ref": "flyingmuttus/mask-rcnn-and-medical-transfer-learning-siim-acr", "kernel_id": "11068053"}, {"ref": "makhanov/pneumothoraxdreamteam", "kernel_id": "11169978"}, {"ref": "rajaraman6195/xray-function", "kernel_id": "11781231"}, {"ref": "sabinkalalala/notebook18fc4cdc51", "kernel_id": "11176961"}, {"ref": "bryanb/vinbigdata-chest-x-ray-eda-fusing-boxes", "kernel_id": "14376111"}, {"ref": "reyvaz/siim-pneumothorax-tfrecs", "kernel_id": "14167455"}, {"ref": "anhxtc/train-unet-efficienet-for-segment-pneumothorax-512", "kernel_id": "14747671"}, {"ref": "anhxtc/eda-dataset-pneumothorax", "kernel_id": "14594618"}, {"ref": "anhxtc/train-model-unet-for-segment-pneumothorax", "kernel_id": "14616175"}, {"ref": "nguyenxtc/train-unet-resnet50-for-segment-pneumothorax-512", "kernel_id": "14692657"}, {"ref": "vivektalwar13071999/unet-plus-plus-with-efficientnet-encoder", "kernel_id": "15741498"}, {"ref": "swhan0329/kor-ver-lung-segmentation-cropping-resunet", "kernel_id": "15053845"}, {"ref": "skloveyyp/unet-plus-plus-with-efficientnet-encoder", "kernel_id": "15050513"}, {"ref": "reyvaz/pneumothorax-inference-submission", "kernel_id": "16095637"}, {"ref": "arunmohan003/extensive-eda-on-siim-pneumothorax", "kernel_id": "16868311"}, {"ref": "lancernik/superunet", "kernel_id": "17596803"}, {"ref": "kalinaxl/capnet-unet", "kernel_id": "17615122"}, {"ref": "stpeteishii/siim-acr-dicom-slide-show", "kernel_id": "18865175"}, {"ref": "minhngh/new-caps-21-7", "kernel_id": "18735023"}, {"ref": "mohamedk0emad/unet-with-resnet34-encoder-pytorch", "kernel_id": "20221203"}, {"ref": "lmyybh/pytorch-unet", "kernel_id": "20162536"}, {"ref": "xsodpx/data-repack-and-image-statistics", "kernel_id": "25578637"}, {"ref": "guyyanko/eda-of-pneumothorax-dataset", "kernel_id": "26795214"}, {"ref": "idabayevsky/ai-for-healthcare-ex2-image-segmentation", "kernel_id": "27035727"}, {"ref": "fouroy4/train-unet-resnet50-for-segment-pneumothorax-512", "kernel_id": "31142935"}, {"ref": "nayem163/unet-with-se-resnet50-stage-2", "kernel_id": "37337659"}, {"ref": "nayem163/unet-with-resne50", "kernel_id": "37181137"}, {"ref": "sin163/unet-with-se-resnet50-stage-2", "kernel_id": "37369545"}, {"ref": "liushixuan11/hypercolumns-pneumothorax-fastai-0-818-lb", "kernel_id": "39173325"}, {"ref": "soniathuluri/jack-siim-tensorflow2", "kernel_id": "43267132"}, {"ref": "dhruvshekhat/medical-image-segmentation", "kernel_id": "45167366"}, {"ref": "kartik09805/unet-plus-plus-with-efficientnet-encoder", "kernel_id": "48923783"}, {"ref": "neomaster1107/siim-acr", "kernel_id": "52643625"}, {"ref": "ahmedsouilmi/train-your-own-mask-rcnn", "kernel_id": "53243417"}, {"ref": "fareedmohamed/mask-rcnn-and-medical-transfer-learning-siim-acr", "kernel_id": "55231220"}, {"ref": "krishnaassish/mask-rcnn-and-medical-transfer-learning-siim-acr", "kernel_id": "65576814"}, {"ref": "jawhersadok01/jack-siim-tensorflow2", "kernel_id": "76163701"}, {"ref": "aryaray2005/unet-xception-keras-for-pneumothorax-segmentation", "kernel_id": "81364621"}, {"ref": "yashwanthsc/unet-plus-plus-with-efficientnet-encoder", "kernel_id": "90432085"}, {"ref": "wooooooyun/week9", "kernel_id": "97376741"}, {"ref": "malikasadriaz/mask-rcnn-with-augmentation-and-multiple-masks", "kernel_id": "97731460"}, {"ref": "evanolearyemenate/alexandria-competition-siim-acr-pneumotho-251710", "kernel_id": "100582669"}, {"ref": "raywu52000/notebook8325a7b0cc", "kernel_id": "104834730"}, {"ref": "accedd/notebook5131c5ce19", "kernel_id": "104835023"}, {"ref": "ruhul20/mask-rcnn-and-medical-transfer-learning-siim", "kernel_id": "105045703"}, {"ref": "sinafathi7/notebook5896de7384", "kernel_id": "124035346"}]}
{"competition_id": "14661", "kernels": []}
{"competition_id": "14666", "kernels": []}
{"competition_id": "14668", "kernels": []}
{"competition_id": "14672", "kernels": []}
{"competition_id": "14681", "kernels": []}
{"competition_id": "14682", "kernels": [{"ref": "ninamalyar/kinase-inhibition", "kernel_id": "57984338"}]}
{"competition_id": "14688", "kernels": []}
{"competition_id": "14689", "kernels": []}
{"competition_id": "14691", "kernels": []}
{"competition_id": "14697", "kernels": [{"ref": "gleicecosta/igm-maio-2019", "kernel_id": "3967929"}, {"ref": "fnardotto/iesb-aula-06-igm", "kernel_id": "3968105"}, {"ref": "medeiros1526/iesb-norte-aula-6-trabalho-medeiros-v2", "kernel_id": "3967972"}, {"ref": "rcbrock/roger-trabalho-1-miner-2", "kernel_id": "3967957"}, {"ref": "du1mart/previsao-matematica", "kernel_id": "3967933"}, {"ref": "evertoncosta/iesb-norte-igm-maio-2019", "kernel_id": "4049569"}, {"ref": "moniquebrant/trabalho-1-miner-2-nota-mat", "kernel_id": "4049546"}, {"ref": "lvanine/kernelda8baf116a", "kernel_id": "4049596"}]}
{"competition_id": "14698", "kernels": [{"ref": "rdewes/novokernel", "kernel_id": "3982088"}, {"ref": "wdiego/competi-o-iesb-miner-ii-nota-matem-tica", "kernel_id": "3980785"}, {"ref": "amarantevitor/iesb-competi-o-ml-ii", "kernel_id": "3980808"}, {"ref": "sidiclei/aula06-ml2-competi-o", "kernel_id": "3980807"}, {"ref": "jptavares/competi-o-iesb-nota-matematica", "kernel_id": "3980798"}, {"ref": "marcosfigueiredo/competi-o-iesb-sul-marcos", "kernel_id": "3980821"}, {"ref": "tiagopeliciari/competi-o", "kernel_id": "4038190"}, {"ref": "eduardokental/kental01", "kernel_id": "4056612"}, {"ref": "barroswilson2012/competi-o-carlos-w-g-barros", "kernel_id": "4508556"}, {"ref": "gustavo9101/gustavo-santos", "kernel_id": "4498684"}]}
{"competition_id": "14710", "kernels": [{"ref": "phaelpolicena/kernel403a23cc27", "kernel_id": "4060532"}]}
{"competition_id": "14711", "kernels": []}
{"competition_id": "14716", "kernels": []}
{"competition_id": "14720", "kernels": []}
{"competition_id": "14724", "kernels": [{"ref": "fulrose/3rd-ml-month-car-model-classification-baseline", "kernel_id": "3985935"}, {"ref": "jsdae1/3rd-ml-month-car-model-clf", "kernel_id": "4514954"}, {"ref": "tmheo74/a-race-for-2019-3rd-ml-month-with-kakr", "kernel_id": "4348008"}, {"ref": "tmheo74/3rd-ml-month-car-image-cropping-updated-7-10", "kernel_id": "4312157"}, {"ref": "kimtaegwan/3rd-ml-month-eda", "kernel_id": "4774921"}, {"ref": "kimtaegwan/14th-solution", "kernel_id": "4827469"}, {"ref": "kimtaegwan/compare-optimizer-of-efficientnet", "kernel_id": "4907367"}, {"ref": "ho2708/2019-3rd-ml-month-with-kakr-eda", "kernel_id": "4757186"}, {"ref": "seriousran/cutout-augmentation-on-keras-efficientnet", "kernel_id": "4856255"}, {"ref": "seriousran/what-0-95121-model-failed", "kernel_id": "4863085"}, {"ref": "hyeonho/2019-3rd-ml-month-with-kakr-eda", "kernel_id": "4310191"}, {"ref": "soongja/kernel88de9ba8dd", "kernel_id": "4361546"}, {"ref": "harangdev/let-s-iterate-faster-keras", "kernel_id": "4651334"}, {"ref": "harangdev/car-classification-inference", "kernel_id": "4696197"}, {"ref": "hominlee/ka-kr-sillim-autoaugmentation", "kernel_id": "4548032"}, {"ref": "hominlee/ka-kr-sillim-fast-ai-high-level-framework", "kernel_id": "4309699"}, {"ref": "hominlee/ka-kr-sillim-data-check", "kernel_id": "4305195"}, {"ref": "airplane2230/inference-8fold", "kernel_id": "4962535"}, {"ref": "airplane2230/competition-keras-for-starter", "kernel_id": "4905165"}, {"ref": "kimdonggyu/python-script-kernel", "kernel_id": "4707849"}, {"ref": "kimdonggyu/car-model-classification-keras-custom-generator", "kernel_id": "4344771"}, {"ref": "sungdoo/my-base-30th-crop-xception-efficientnet", "kernel_id": "4888493"}, {"ref": "yangsaewon/pytorch-baseline-updated-7-10", "kernel_id": "4305723"}, {"ref": "yangsaewon/how-to-split-folds-and-train", "kernel_id": "4348718"}, {"ref": "yangsaewon/want-to-see-my-augmentations-pytorch", "kernel_id": "4710141"}, {"ref": "yangsaewon/pytorch-inference-tta", "kernel_id": "4608210"}, {"ref": "yangsaewon/2nd-solution", "kernel_id": "4593249"}, {"ref": "easter3163/3rd-ml-month-keras-efficientnet", "kernel_id": "4546708"}, {"ref": "wodlfrh/baseline-copy-study", "kernel_id": "4755139"}, {"ref": "daehungwak/keras-how-to-use-pretrained-model", "kernel_id": "4349285"}, {"ref": "foonia/car-model-classification", "kernel_id": "4590463"}, {"ref": "cruiserx/3rd-ml-month-efficientnet-b3-4-5-ensemble-13th", "kernel_id": "4306243"}, {"ref": "dowaari/image-augmentation-examples", "kernel_id": "4538052"}, {"ref": "janged/3rd-ml-month-xception-stratifiedkfold-ensemble", "kernel_id": "4635733"}, {"ref": "janged/3rd-ml-month-car-model-classification-xception", "kernel_id": "4363942"}, {"ref": "janged/3rd-ml-month-car-model-classification-ensemble", "kernel_id": "4537823"}, {"ref": "vh1981/kakr-3rd-keras-xception", "kernel_id": "4996348"}, {"ref": "dlehddms1/gradcam", "kernel_id": "4423762"}, {"ref": "namepen/car-imageclassification-with-keras", "kernel_id": "4309499"}, {"ref": "namepen/image-hash", "kernel_id": "4669579"}, {"ref": "chanhyeok/3rd-ml-month-car-model-classification-baseline", "kernel_id": "4556298"}, {"ref": "meditech101/yai-baseline-for-various-transfer-learning", "kernel_id": "4763082"}, {"ref": "kummyong/3rd-ml-month-densenet201-xception", "kernel_id": "4725657"}, {"ref": "kummyong/3rd-ml-month-densenet201-inceptionv3", "kernel_id": "4724277"}, {"ref": "taehyungum/car-model-classification-with-ensemble-41th", "kernel_id": "4662560"}, {"ref": "alertjjm/kagglekr-ensemble", "kernel_id": "4658308"}, {"ref": "hjp845/try2-7-23", "kernel_id": "4891673"}, {"ref": "yseon99/18th-solution-public-0-952-private-0-952", "kernel_id": "5243662"}, {"ref": "deepdiver/kernel5f6ba97254", "kernel_id": "5238102"}, {"ref": "tmheo74/3rd-ml-month-12th-solution", "kernel_id": "5507421"}, {"ref": "kimtaegwan/keras-semi-supervised-learning", "kernel_id": "5181643"}, {"ref": "ho2708/3rd-ml-month-keras-xception-fold-ensemble", "kernel_id": "5335535"}, {"ref": "rvslight/inference-6th-solution", "kernel_id": "5485532"}, {"ref": "hics33/example-using-imgaug-keras", "kernel_id": "5374265"}, {"ref": "ikheeshin/3rd-ml-month-various-model-k-fold-1", "kernel_id": "5013704"}, {"ref": "ikheeshin/3rd-ml-month-models-ensemble-inference", "kernel_id": "5102464"}, {"ref": "ikheeshin/3rd-solution", "kernel_id": "5506850"}, {"ref": "damienpark/car-model-classification-baseline", "kernel_id": "5282223"}, {"ref": "dongjeong/kernel76b985c3dd", "kernel_id": "5220551"}, {"ref": "snorlax0523/xception-5-folds-47th", "kernel_id": "5401621"}, {"ref": "bluepinetree/3rd-ml-month-25th-solution", "kernel_id": "5467750"}, {"ref": "kimjunhwa/16th-solution", "kernel_id": "5410652"}, {"ref": "wodlfrh/ensamble-each-fold-models", "kernel_id": "5271232"}, {"ref": "cruiserx/3rd-ml-month-car-image-segmentation-crop", "kernel_id": "5232817"}, {"ref": "pyy0715/3rd-ml-month-baseline-part1", "kernel_id": "5947537"}, {"ref": "yangju0411/ensemble-xception-inception-densenet", "kernel_id": "5367375"}, {"ref": "dlehddms1/yai-merged-model-with-canny", "kernel_id": "5509777"}, {"ref": "namepen/3rd-ml-keras-efficientnet-tta-solution", "kernel_id": "5290006"}, {"ref": "chanhyeok/kernelfa6a3f18e9", "kernel_id": "5049884"}, {"ref": "nevret93/3rd-ml-month-xception-segmentation-crop", "kernel_id": "5530304"}, {"ref": "meditech101/kakr3rd-28th-solution-simplevoting", "kernel_id": "5020429"}, {"ref": "borings1004/xception-model-in-keras-for-car-classification", "kernel_id": "5014899"}, {"ref": "gocks8/inference-kernel", "kernel_id": "5412076"}, {"ref": "hjp845/orgin-images-crop-images-in-training", "kernel_id": "5298808"}, {"ref": "yoonsung91/idea-base-model-mobilenet", "kernel_id": "5188279"}, {"ref": "devbruce/kakr-2019-3rd-cutmix-ensemble-keras", "kernel_id": "5280082"}, {"ref": "devbruce/kakr-2019-3rd-eda-imageprep-mixup-cv-keras", "kernel_id": "5155188"}, {"ref": "thejacobkim/kaggle-kr-2", "kernel_id": "5265844"}, {"ref": "hama2386/kakr-3rd-23rd-inception-efficientnet", "kernel_id": "5487649"}, {"ref": "hama2386/kakr-3rd-23rd-inceptionv3-efficientnetb5", "kernel_id": "5466361"}, {"ref": "ho2708/car-model-study", "kernel_id": "6465240"}, {"ref": "jeonghawoo/studying-car-model", "kernel_id": "6453980"}, {"ref": "jindragon83/kernel16b54f4537", "kernel_id": "6465190"}, {"ref": "hanjoonchoe/car-classification-with-pytorch-beginner", "kernel_id": "7024543"}, {"ref": "larsien/kagglekorea3rdyolov3implementation", "kernel_id": "10288075"}]}
{"competition_id": "14728", "kernels": []}
{"competition_id": "14745", "kernels": [{"ref": "kashnitsky/logistic-regression-tf-idf-baseline", "kernel_id": "3989348"}, {"ref": "kashnitsky/amazon-pet-reviews-bert-pytorch-comments", "kernel_id": "4715638"}, {"ref": "kashnitsky/amazon-product-reviews-classification-with-ulmfit", "kernel_id": "4002116"}, {"ref": "kashnitsky/try-eda-augmentation-keras-rnn", "kernel_id": "4110378"}, {"ref": "kashnitsky/try-bert", "kernel_id": "4099784"}, {"ref": "igetii/bert-keras", "kernel_id": "4133157"}, {"ref": "jujunl/trying-fast-bert", "kernel_id": "4187316"}, {"ref": "shesss/fast-ai-bert", "kernel_id": "4768371"}, {"ref": "kashnitsky/distillbert-catalyst-amazon-product-reviews", "kernel_id": "6504193"}, {"ref": "michaelchao3000/bert-keras-tensorflow-1-13-1", "kernel_id": "10924599"}, {"ref": "rcmonteiro/simple-bow-vs-roberta", "kernel_id": "16138307"}, {"ref": "ronney21/tf-idf-logistic-reg", "kernel_id": "25394790"}, {"ref": "akshatcongress/notebook07ec7114cd", "kernel_id": "25352849"}, {"ref": "jagritnokwal/ds-lab-eval", "kernel_id": "25414665"}, {"ref": "rijul757/amazon-pet-review", "kernel_id": "25404829"}]}
{"competition_id": "14747", "kernels": [{"ref": "kashnitsky/clickbait-ulmfit-starter", "kernel_id": "3989836"}, {"ref": "kashnitsky/clickbait-logit-tf-idf-baseline", "kernel_id": "3989745"}, {"ref": "kashnitsky/clickbait-news-bert-pytorch", "kernel_id": "4715672"}, {"ref": "kashnitsky/bert-first-try", "kernel_id": "4109253"}, {"ref": "kashnitsky/clickbait-news-bert-pytorch-simple-seq-bucket", "kernel_id": "5352800"}, {"ref": "kashnitsky/distillbert-catalyst-detecting-clickbait-news", "kernel_id": "6487668"}, {"ref": "oo7kartik/distillbert-catalyst-detecting-clickbait-6d1cac", "kernel_id": "9336247"}, {"ref": "vikassingh1996/clickbait-detector-w-xlnet-pytorch-inference", "kernel_id": "9985363"}, {"ref": "dhruv2000/clickbait-logit-tf-idf-baseline", "kernel_id": "13099294"}, {"ref": "vrikodara/click-bait-detection", "kernel_id": "13300073"}, {"ref": "pravashpurkayastha/clickbait-detection", "kernel_id": "30651511"}, {"ref": "satoru90/clickbait-news-detection-nlp-text-classification", "kernel_id": "33644832"}, {"ref": "quackaddict7/what-kaggle-won-t-tell-you-about-your-notebooks", "kernel_id": "42888648"}]}
{"competition_id": "14749", "kernels": [{"ref": "dwayne99/diabetes-prediction", "kernel_id": "9248132"}]}
{"competition_id": "14750", "kernels": []}
{"competition_id": "14752", "kernels": [{"ref": "cmosquera/pca-svm", "kernel_id": "4134985"}]}
{"competition_id": "14754", "kernels": []}
{"competition_id": "14756", "kernels": []}
{"competition_id": "14762", "kernels": []}
{"competition_id": "14771", "kernels": []}
{"competition_id": "14774", "kernels": [{"ref": "konradb/adversarial-validation-quick-fast-ai-approach", "kernel_id": "4622940"}, {"ref": "abhishek/optimizer-for-quadratic-weighted-kappa", "kernel_id": "4558683"}, {"ref": "abhishek/pytorch-inference-kernel-lazy-tta", "kernel_id": "4560511"}, {"ref": "abhishek/very-simple-pytorch-training-0-59", "kernel_id": "4561371"}, {"ref": "lextoumbourou/blindness-detection-resnet34-ordinal-targets", "kernel_id": "4596681"}, {"ref": "hmnshu/fastai-kfold-densenet201-outperforms", "kernel_id": "4710233"}, {"ref": "kkondo/elementary-image-preprocessing-for-aptos", "kernel_id": "4818951"}, {"ref": "monkeyorman/bd-train-mean", "kernel_id": "4663674"}, {"ref": "kmader/attention-lr-inceptionv3-for-blindness", "kernel_id": "4933156"}, {"ref": "kmader/attention-inceptionv3-for-blindness", "kernel_id": "4896201"}, {"ref": "rahulm7/aptos-imagepipeline-with-tensorflow", "kernel_id": "4767334"}, {"ref": "user164919/aptos-cnn-solution", "kernel_id": "4567890"}, {"ref": "aninda/blindness-detection-fastai", "kernel_id": "4721418"}, {"ref": "ryanallen/keras-inception-resnet-v2", "kernel_id": "4972789"}, {"ref": "mbolaris/keras-efficientnet-trainer", "kernel_id": "4994822"}, {"ref": "ibraheemmoosa/aptos-densenet201-progressive-resizing", "kernel_id": "4733496"}, {"ref": "ibraheemmoosa/aptos-densenet121-with-full-rotation", "kernel_id": "4764351"}, {"ref": "smartsn123/aptos-submission-v1", "kernel_id": "4971731"}, {"ref": "vikasmalhotra08/aptos19-resnet-trained-with-old-and-new-data", "kernel_id": "4888153"}, {"ref": "vikasmalhotra08/aptos19-resnet50-old-and-new-data-inference", "kernel_id": "4888273"}, {"ref": "chinta/kfold-5epochs", "kernel_id": "4810107"}, {"ref": "hackstock/aptos-baseline-submission", "kernel_id": "4815311"}, {"ref": "mytymohan/blindness-detection-with-color-gradients", "kernel_id": "4632282"}, {"ref": "daytaa/finding-image-symptoms", "kernel_id": "4840838"}, {"ref": "xooca1/aptos-2", "kernel_id": "4613938"}, {"ref": "manojprabhaakr/vgg19-bn-base-model", "kernel_id": "4783961"}, {"ref": "manojprabhaakr/similar-duplicate-images-in-aptos-data", "kernel_id": "4700672"}, {"ref": "hmendonca/aptos19-regressor-fastai-oversampling-tta", "kernel_id": "4677483"}, {"ref": "hmendonca/multitask-efficientnetb4-ignite-amp-clr-aptos19", "kernel_id": "4566187"}, {"ref": "hmendonca/efficientnet-pytorch-ignite-aptos19-submission", "kernel_id": "4576851"}, {"ref": "hmendonca/efficientnetb4-fastai-blindness-detection", "kernel_id": "4595791"}, {"ref": "kbolaris/keras-diabetic-retinopathy-detector", "kernel_id": "4695625"}, {"ref": "maxwell110/duplicated-list-csv-file", "kernel_id": "4707471"}, {"ref": "ryomiyazaki/keras-simple-implementation-of-qwk-for-regressor", "kernel_id": "4685912"}, {"ref": "ryomiyazaki/keras-simple-implementation-of-qwk", "kernel_id": "4666325"}, {"ref": "jinbao/resnet50-baseline-submit-jinbao", "kernel_id": "4906333"}, {"ref": "dipam7/basic-train", "kernel_id": "4710580"}, {"ref": "dipam7/data-augmentations", "kernel_id": "4893673"}, {"ref": "dipam7/basic-exploration", "kernel_id": "4866847"}, {"ref": "lhohoz/aptos-fastai-resnet50-with-previous-data", "kernel_id": "4993634"}, {"ref": "code1110/are-there-clusters-pca-tsne-vae", "kernel_id": "4613645"}, {"ref": "gowrishankarin/resnet50-vs-inceptionv3-vs-xception-vs-nasnet", "kernel_id": "4646121"}, {"ref": "gowrishankarin/diabetic-retinopathy-explore-plotly-cv2", "kernel_id": "4571123"}, {"ref": "solomonk/duplicates-detection-faiss-imgdupes", "kernel_id": "4703692"}, {"ref": "solomonk/vgg-feature-extraction-gbm-classification-keras", "kernel_id": "4567656"}, {"ref": "solomonk/ensemble-8-x-tta-2-models-008", "kernel_id": "4912485"}, {"ref": "solomonk/pytorch-aptos-ensemble-8-x-tta-0-787", "kernel_id": "4983320"}, {"ref": "tanlikesmath/what-is-your-cnn-looking-at-aptos", "kernel_id": "4775280"}, {"ref": "tanlikesmath/training-on-previous-dataset-for-aptos", "kernel_id": "4622764"}, {"ref": "tanlikesmath/aptos-cv-inference", "kernel_id": "4607433"}, {"ref": "tanlikesmath/private-lb-probing-adversarial-validation", "kernel_id": "4892416"}, {"ref": "tanlikesmath/intro-aptos-diabetic-retinopathy-eda-starter", "kernel_id": "4556515"}, {"ref": "jagannathrk/pytorch-inference-kernel", "kernel_id": "4591736"}, {"ref": "artgor/basic-eda-and-baseline-pytorch-model", "kernel_id": "4556507"}, {"ref": "seefun/basic-eda-and-pytorch-resnext-model", "kernel_id": "4560016"}, {"ref": "jayasoo/baseline-keras-with-circle-crop-and-augmentation", "kernel_id": "4703239"}, {"ref": "sandeepkumar121995/fastai-starter-kernel-densenet161", "kernel_id": "4558073"}, {"ref": "esmaeil391/fast-ai-densenet201", "kernel_id": "4845852"}, {"ref": "yeayates21/autoencoder-v1", "kernel_id": "4926777"}, {"ref": "puremath86/visualization-starter", "kernel_id": "4556608"}, {"ref": "takuok/fork-of-submission-error", "kernel_id": "4607201"}, {"ref": "h4211819/image-size-eda", "kernel_id": "4613554"}, {"ref": "h4211819/more-information-about-duplicate", "kernel_id": "4864658"}, {"ref": "axel81/fastai-ensembler", "kernel_id": "4668525"}, {"ref": "yohalf/simple-resizing-script", "kernel_id": "4586392"}, {"ref": "yohalf/all-about-efficiency", "kernel_id": "4994508"}, {"ref": "taindow/instagram-to-aptos-resnext-101-32x8d", "kernel_id": "4831709"}, {"ref": "taindow/efficientnet-b5-w-pre-processing", "kernel_id": "4925809"}, {"ref": "taindow/pre-processing-train-and-test-images", "kernel_id": "4922000"}, {"ref": "taindow/be-careful-what-you-train-on", "kernel_id": "4918830"}, {"ref": "currypurin/image-shape-distribution-previous-and-present", "kernel_id": "4812892"}, {"ref": "drhabib/starter-kernel-for-0-79", "kernel_id": "4903170"}, {"ref": "osciiart/dr-submit", "kernel_id": "4734983"}, {"ref": "adkarhe/blindness-detection", "kernel_id": "4558534"}, {"ref": "mathormad/aptos-resnet50-baseline", "kernel_id": "4556402"}, {"ref": "dipeshpoudel/blindness-detection-using-cnn", "kernel_id": "4570903"}, {"ref": "mehtad/cnn-keras", "kernel_id": "4591745"}, {"ref": "mehtad/base-model", "kernel_id": "4574511"}, {"ref": "manimaranp/resnet101-progressive-resizing-trial", "kernel_id": "4920144"}, {"ref": "aritrase/aptos-pytorch-with-cohenkappaforearlystopping", "kernel_id": "4657175"}, {"ref": "aritrase/albumenationspytorch-createmoredata", "kernel_id": "4699092"}, {"ref": "vbookshelf/dr-mobilenet-binary-classifier-tfjs-web-app", "kernel_id": "4591737"}, {"ref": "orkatz2/diabetic-retinopathy-preprocess-rgba-update", "kernel_id": "4825467"}, {"ref": "shankarps/aptos-2019-begginer-pytorch-kernel-train", "kernel_id": "4943524"}, {"ref": "vbansal86/aptos-blindness-prediction", "kernel_id": "4777889"}, {"ref": "itsmuriuki/aptos-blindness-detection-2019-fastai-v1-0", "kernel_id": "4736435"}, {"ref": "nathanh12/aptos-2019-fastai-starter", "kernel_id": "4601410"}, {"ref": "bharatsingh213/keras-resnet-tta", "kernel_id": "4692976"}, {"ref": "dimitreoliveira/aptos-blindness-detection-eda-and-keras-resnet50", "kernel_id": "4586691"}, {"ref": "dimitreoliveira/diabetic-retinopathy-shap-model-explainability", "kernel_id": "4852363"}, {"ref": "wordroid/aptos2019-resize560x420-float16-train", "kernel_id": "4572661"}, {"ref": "wordroid/aptos2019-resize560x420-float16-test", "kernel_id": "4590865"}, {"ref": "wordroid/aptos2019-usage-of-resized-560x420-images", "kernel_id": "4591223"}, {"ref": "wordroid/aptos2019-resize320x240-float16-train", "kernel_id": "4955716"}, {"ref": "donkeys/looking-in-the-eyes-of-past-and-present", "kernel_id": "4568445"}, {"ref": "nileshvarshney1/blindness-detection", "kernel_id": "4557511"}, {"ref": "miklgr500/auto-encoder", "kernel_id": "4572609"}, {"ref": "miklgr500/leakage-detection-about-8-test-dataset", "kernel_id": "4694735"}, {"ref": "abhi3ichigo/playing-with-data-understanding-problems-aptos", "kernel_id": "4736857"}, {"ref": "alanchn31/aptos-beginner-s-eda-resnet-152", "kernel_id": "4571070"}, {"ref": "thedocs/fast-ai-starter-800x800", "kernel_id": "4556323"}, {"ref": "bohraboxer/image-classification", "kernel_id": "4808049"}, {"ref": "bohraboxer/image-classification-ai", "kernel_id": "4734409"}, {"ref": "khursani8/fast-ai-starter-resnet34", "kernel_id": "4556680"}, {"ref": "ateplyuk/aptos-pytorch-starter-rnet50", "kernel_id": "4563194"}, {"ref": "ateplyuk/aptos-keras-starter", "kernel_id": "4558626"}, {"ref": "ratthachat/aptos-eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "4606986"}, {"ref": "ratthachat/workshop-ai-for-eyes-1", "kernel_id": "4761508"}, {"ref": "ratthachat/aptos-augmentation-visualize-diabetic-retinopathy", "kernel_id": "4742561"}, {"ref": "snehashis1997/aptos-v2", "kernel_id": "4765711"}, {"ref": "avaish/kernelf70e6491da", "kernel_id": "4657919"}, {"ref": "demonplus/fast-ai-starter-with-resnet-152", "kernel_id": "4613857"}, {"ref": "demonplus/fast-ai-starter-with-resnet-50", "kernel_id": "4558445"}, {"ref": "runninglion/aptos-2019-efficientnet-keras-model-weights", "kernel_id": "4861730"}, {"ref": "kalikichandu/aptos-blindness-detection-fastai-starter-resnet152", "kernel_id": "4664345"}, {"ref": "takamichitoda/resnet50-with-ben-graham-s-preprocessing-fast-ai", "kernel_id": "4666504"}, {"ref": "rushal/blindness-detection-by-pytorch", "kernel_id": "4557704"}, {"ref": "rushal/kernel84558a2854", "kernel_id": "4673049"}, {"ref": "bibek777/adversarial-validation", "kernel_id": "4589782"}, {"ref": "dhirus/pytorch-inference-kernel-lazy-tta", "kernel_id": "4947123"}, {"ref": "tenffe/baseline-v1-0-aptos-2019-blindness-detection", "kernel_id": "4589674"}, {"ref": "aleksandradeis/aptos2019-blindness-detection-eda", "kernel_id": "4965665"}, {"ref": "shahad9544/aptos-take1-with-data-augment1", "kernel_id": "4798137"}, {"ref": "rupeshs/blindness-detection-cam", "kernel_id": "4813253"}, {"ref": "rupeshs/dr-ophthalmology", "kernel_id": "4798662"}, {"ref": "deeplearn1/aptos-pytorch-resnet152-learning", "kernel_id": "4981213"}, {"ref": "mlneo07/keras-resnet", "kernel_id": "4575786"}, {"ref": "naushads/aptos-2019-road-to-victory", "kernel_id": "4713560"}, {"ref": "debangshu16/eda-convnet-classification", "kernel_id": "4968269"}, {"ref": "aggrawal1897/vgg11-like-architecture", "kernel_id": "4617325"}, {"ref": "benoitcharmettant/basic-custom-cnn", "kernel_id": "4574346"}, {"ref": "benoitcharmettant/resnet50-attention-layer", "kernel_id": "4865849"}, {"ref": "hocop1/golden-sect-optimizer-for-quadratic-weighted-kappa", "kernel_id": "4810170"}, {"ref": "ratan123/aptos-2019-keras-baseline", "kernel_id": "4628058"}, {"ref": "ratan123/aptos-keras-efficientnet-with-attention-baseline", "kernel_id": "4881150"}, {"ref": "mohitduklan/info-and-visualization-of-aptos-2019-blindness-det", "kernel_id": "4590657"}, {"ref": "vaibhavmathur96/aptos-2019-densenet-keras-starter", "kernel_id": "4702438"}, {"ref": "karan07/begineers-tutorial-to-make-submission-inference", "kernel_id": "4653065"}, {"ref": "generalerror/aptos-inception-v3-training-submission-demo", "kernel_id": "4827779"}, {"ref": "muhakabartay/can-boost-to-0-798-with-starter-kernel-for-0-79", "kernel_id": "4908933"}, {"ref": "ashwan1/understanding-kappa-using-dummy-classifier", "kernel_id": "4558128"}, {"ref": "omershect/aptos-data-exploratory", "kernel_id": "4567031"}, {"ref": "arjunrao2000/baseline-keras-model", "kernel_id": "4564131"}, {"ref": "karanvijay64/aptos-blindness-detection", "kernel_id": "4844030"}, {"ref": "khayashima/pytorch-eda-and-augmentation-v1", "kernel_id": "4576559"}, {"ref": "khayashima/pytorch-eda-and-data-augmentation-v2", "kernel_id": "4660431"}, {"ref": "srinivas365/blindness-detection", "kernel_id": "4996635"}, {"ref": "hirotaka0122/feature-extraction-by-resnet", "kernel_id": "4944547"}, {"ref": "sriharsha1729/kernelb5514d0cb4", "kernel_id": "4726380"}, {"ref": "kageyama/fork-of-fastai-blindness-detection-resnet34", "kernel_id": "4569238"}, {"ref": "kageyama/keras-blindness-detection-simple-resnet50", "kernel_id": "4569213"}, {"ref": "kageyama/keras-blindness-detection-simple-cnn", "kernel_id": "4567989"}, {"ref": "kageyama/fastai-blindness-detection-resnet34", "kernel_id": "4559930"}, {"ref": "k4ni5h/cnn-model", "kernel_id": "4601855"}, {"ref": "ashishlepcha/aptos-blindness-detection", "kernel_id": "4639754"}, {"ref": "snakayama/vgg16-keras", "kernel_id": "4697415"}, {"ref": "snakayama/resnext50-pytorch", "kernel_id": "4969807"}, {"ref": "chanhu/eye-efficientnet-pytorch-lb-0-777", "kernel_id": "4799074"}, {"ref": "chanhu/eye-inference-num-class-1-ver3", "kernel_id": "4778001"}, {"ref": "yangsaewon/basic-eda-train-test-image-distribution-check", "kernel_id": "4797282"}, {"ref": "mayankkestwal10/diabetic-retinopathy-fast-ai", "kernel_id": "4884450"}, {"ref": "mayankkestwal10/fastai-aptos", "kernel_id": "4916947"}, {"ref": "mayankkestwal10/aptos-diabetic-retinopathy", "kernel_id": "4576737"}, {"ref": "joycechidi/aptos-blindness-detection-with-resnet50-pytorch", "kernel_id": "4576962"}, {"ref": "naumov1889/keras-cnn", "kernel_id": "4654359"}, {"ref": "googlemkunthe/art-of-divided-for-loop", "kernel_id": "4879873"}, {"ref": "akash2sharma/aptos-keras-starter-densenet", "kernel_id": "4700139"}, {"ref": "akash2sharma/aptos-keras-starter-resnet", "kernel_id": "4668973"}, {"ref": "necrobs/starter-code-0-5-with-resnet-50-keras", "kernel_id": "4642835"}, {"ref": "akashshastri/solutions-fastai", "kernel_id": "4939160"}, {"ref": "chandyalex/data-set-simple-visualization", "kernel_id": "4859145"}, {"ref": "rektmeister/aptos-2019-submission", "kernel_id": "4692559"}, {"ref": "harshavardhanbabu/kerasclassifierresnet50", "kernel_id": "4633408"}, {"ref": "sainadh086/using-keras-for-preprocessing", "kernel_id": "4630565"}, {"ref": "spaceman04/diabetic-retinopathy", "kernel_id": "4670197"}, {"ref": "pocketmad/efficientnet-b5-model", "kernel_id": "4926356"}, {"ref": "nabhanpv/beginner-s-guide-to-loading-data", "kernel_id": "4769091"}, {"ref": "higepon/basic-eda", "kernel_id": "4570566"}, {"ref": "darshanpatel11/aptos-2019-blindness-detection-transfer-learning", "kernel_id": "4588622"}, {"ref": "aditya100/aptos-2019-blindness-detection", "kernel_id": "4843517"}, {"ref": "mustaffxx/aptos-2019-keras-cnn", "kernel_id": "4564531"}, {"ref": "agayev169/aptos-2019-best", "kernel_id": "4941706"}, {"ref": "nzxwang/aptos2019-fastai-resnet50-starter", "kernel_id": "4869486"}, {"ref": "jtbontinck/cnn-features-extraction-xgb-submission", "kernel_id": "4736970"}, {"ref": "jtbontinck/cnn-features-extraction-xgb-baseline", "kernel_id": "4730215"}, {"ref": "jtbontinck/cnn-xgb-end-to-end-0-11", "kernel_id": "4752912"}, {"ref": "subhajitbarh/inference-model", "kernel_id": "4765437"}, {"ref": "subhajitbarh/aptos-color-tta-regrassion", "kernel_id": "4643661"}, {"ref": "dm591692335/modev3", "kernel_id": "4916949"}, {"ref": "xhlulu/training-mobilenet-v2-in-4-min", "kernel_id": "4634671"}, {"ref": "xhlulu/aptos-2019-densenet-keras-starter", "kernel_id": "4557844"}, {"ref": "sunilsj99/diabetic-retinopathy-resnet50", "kernel_id": "4626458"}, {"ref": "daskapieas/aptos-kernel", "kernel_id": "4618687"}, {"ref": "surfhigh/kernel-aptos-2019-models012", "kernel_id": "4980706"}, {"ref": "fanconic/efficientnetb3-train-keras", "kernel_id": "4862587"}, {"ref": "sohaibanwaar1203/drd-wihtout-outkiers", "kernel_id": "4583464"}, {"ref": "raimonds1993/aptos2019-image-super-resolution", "kernel_id": "4764381"}, {"ref": "raimonds1993/aptos19-inference-efficientnet-keras-regression", "kernel_id": "4971652"}, {"ref": "raimonds1993/aptos19-efficientnet-keras-regression-lb-0-75", "kernel_id": "4965700"}, {"ref": "raimonds1993/aptos19-densenet-trained-with-old-and-new-data", "kernel_id": "4826235"}, {"ref": "raimonds1993/aptos19-densenet-inference-old-new-data", "kernel_id": "4828750"}, {"ref": "hitoidas/my-pytorch-fastai-kernel-0-62-valid-accuracy", "kernel_id": "4709256"}, {"ref": "hitoidas/a-simple-fastai-ensemble-training-kernel-0-60", "kernel_id": "4970949"}, {"ref": "hitoidas/inference-kernel-pytorch", "kernel_id": "4962554"}, {"ref": "abhinand05/blindness-detection-complete-pytorch-training", "kernel_id": "4837452"}, {"ref": "hefestion77/kernel-aptos-resnet50", "kernel_id": "4841395"}, {"ref": "hefestion77/kernel-aptos-img-to-arrays-one-hot-and-split", "kernel_id": "4736279"}, {"ref": "aminyakubu/aptos-2019-blindness-detection-fast-ai", "kernel_id": "4830213"}, {"ref": "rushabhvasani24/resnet101-using-only-this-competition-s-data", "kernel_id": "4814952"}, {"ref": "drawon111111/kernel1f6c12e4e1", "kernel_id": "4839571"}, {"ref": "lifengnan/kernel1c22bb6303", "kernel_id": "4607952"}, {"ref": "joorarkesteijn/fast-cropping-preprocessing-and-augmentation", "kernel_id": "4735920"}, {"ref": "rahultp97/aptos-2019-blindness-detection-using-fastai", "kernel_id": "4632181"}, {"ref": "virajbagal/densenet-aptos-cropped", "kernel_id": "4930836"}, {"ref": "jayfaldu20/kernel7d4ea40643", "kernel_id": "4906984"}, {"ref": "amardeepganguly/fork-of-dense161-with-mixup-8e434e", "kernel_id": "4940037"}, {"ref": "amardeepganguly/resnet-fast-ai-starter", "kernel_id": "4796150"}, {"ref": "yonghan/aptos-blindness-detection-with-grad-cam", "kernel_id": "4669904"}, {"ref": "yonghan/aptos-keras-baseline-tta", "kernel_id": "4628712"}, {"ref": "yonghan/image-augmentation-and-visualization-with-keras", "kernel_id": "4729783"}, {"ref": "nomadista/large-training-speed-boost", "kernel_id": "4899805"}, {"ref": "mentalitet/how-to-understand-is-new-model-better", "kernel_id": "4840379"}, {"ref": "iluvmahheart/simple-beginner-blindness-detector", "kernel_id": "4560234"}, {"ref": "thematrixmaster/aptos-2019-cnn-resnet-model", "kernel_id": "4616464"}, {"ref": "mistag/image-classification-with-tensorflow-estimator-api", "kernel_id": "4973092"}, {"ref": "joshi98kishan/blindness-detection-fastai", "kernel_id": "4903653"}, {"ref": "samswarup/my-work", "kernel_id": "4565965"}, {"ref": "koushikcon/using-inception-and-pytorch", "kernel_id": "4910873"}, {"ref": "rahul845/blindness-aptos", "kernel_id": "4774959"}, {"ref": "juliakt/downloading-images-in-grayscale", "kernel_id": "4841959"}, {"ref": "davidtsaturyan/simple-pytorch-solution", "kernel_id": "4801453"}, {"ref": "njchenwei/simple-densenet", "kernel_id": "4709090"}, {"ref": "sidhanthholalkere/keras-vgg19-starter", "kernel_id": "4697074"}, {"ref": "yangfan556677/submit-resnet152", "kernel_id": "4698354"}, {"ref": "ssoni0924/kernel3fede292d2", "kernel_id": "4991098"}, {"ref": "yuhisoejima/aptos-augmentation-imgaug", "kernel_id": "4998093"}, {"ref": "ahoukang/aptos-vote", "kernel_id": "4862932"}, {"ref": "xcz12138/pytorch-vgg16-train", "kernel_id": "4613319"}, {"ref": "xcz12138/eff-atteintion-task-train", "kernel_id": "4818345"}, {"ref": "xujingzhao/select-similar-duplicate-images-in-aptos-data", "kernel_id": "4749173"}, {"ref": "uditsharmaai/blindness-detection", "kernel_id": "4802351"}, {"ref": "samlep/aptos-2019-blindness-detection-diabetic-retinopa", "kernel_id": "4739973"}, {"ref": "claurin1/data-cleaning-then-eda", "kernel_id": "4740003"}, {"ref": "claurin1/xgboost-attempt", "kernel_id": "4586789"}, {"ref": "claurin1/aptos-densenet-train-submit", "kernel_id": "4870432"}, {"ref": "claurin1/aptos-2019-submit", "kernel_id": "4974243"}, {"ref": "aqeelnawaz44/pytorch-inference-kernel", "kernel_id": "4563626"}, {"ref": "venkat555/aptos-pytorch-starter", "kernel_id": "4742757"}, {"ref": "sthuthyevangelinem/aptos19-fastai-vgg16-bn", "kernel_id": "4713836"}, {"ref": "sbolaris/keras-blindness-detector", "kernel_id": "4588271"}, {"ref": "williamqin/kernelae94df83f9", "kernel_id": "4617539"}, {"ref": "iwilldo/second-time-predict", "kernel_id": "4564103"}, {"ref": "chonan/aptos-blindness-detection-cnn", "kernel_id": "4875423"}, {"ref": "manishkumarnaik999/aptos-2019-manish-keras", "kernel_id": "4830420"}, {"ref": "ibansalankit/aptos-blindness-detection", "kernel_id": "4571749"}, {"ref": "brianwahome254/aptos-blindness-detection-kernel-0-76", "kernel_id": "4565367"}, {"ref": "amc9823/untest", "kernel_id": "4666313"}, {"ref": "maliang07/vesselclassfy2", "kernel_id": "4740907"}, {"ref": "venkateshprabhug/diabetic-retinopathy-classifier-starter", "kernel_id": "4565557"}, {"ref": "ibrahimpasha/blind-or-not-keras", "kernel_id": "4565612"}, {"ref": "waseeqshiekh/intro-aptos-diabetic-retinopathy-eda-starter", "kernel_id": "4693166"}, {"ref": "victoriasu/kernelfabd3da7f6", "kernel_id": "4743979"}, {"ref": "ge5288/kernel6b88de7674", "kernel_id": "4687586"}, {"ref": "rupakarnik/aptos-blindness-detection-cnn-adamax-k-folds", "kernel_id": "4842173"}, {"ref": "dliang7234/aptos-densenet121-trial", "kernel_id": "4944121"}, {"ref": "michael196453/beginner-analysis-using-keras", "kernel_id": "4998851"}, {"ref": "bear007/eye-efficientnet-pytorch-lb-0-777", "kernel_id": "4803788"}, {"ref": "inukaiko/kernel33e2064065", "kernel_id": "4814940"}, {"ref": "evandeng/aptos-vote", "kernel_id": "4994273"}, {"ref": "lextoumbourou/bd-densenet201-2015val-psu3-2019-val", "kernel_id": "5712165"}, {"ref": "lextoumbourou/2-x-b3-densenet201-blend-0-926-on-private-lb", "kernel_id": "5714329"}, {"ref": "lextoumbourou/bd-efficientnetb3-2015-val-sz-300", "kernel_id": "5705510"}, {"ref": "lextoumbourou/bd-efficientnetb3-2015-val-sz-256", "kernel_id": "5705968"}, {"ref": "chrisfs/vgg19-bn-base-model", "kernel_id": "5233592"}, {"ref": "chrisfs/new-data-fast-ai-starter-with-resnet-152", "kernel_id": "5407699"}, {"ref": "titericz/circle-to-rectagle-preprocessing-1", "kernel_id": "5731516"}, {"ref": "dataraj/aptos2019vgg", "kernel_id": "5185129"}, {"ref": "dataraj/aptosincepttionv3pretrained", "kernel_id": "5344221"}, {"ref": "dataraj/apotosrf1", "kernel_id": "5305047"}, {"ref": "kunstmord/resnet101-no-pre-processing", "kernel_id": "5490314"}, {"ref": "emsanqui/aptos-2019-class-full-mobilenetv2", "kernel_id": "5078456"}, {"ref": "danilds/fast-submission", "kernel_id": "5024287"}, {"ref": "mbolaris/keras-efficientnet-submitter", "kernel_id": "5008696"}, {"ref": "aaronbcj/aptos-v4", "kernel_id": "5285319"}, {"ref": "ibraheemmoosa/aptos-pytorch-arcface", "kernel_id": "5229441"}, {"ref": "ibraheemmoosa/aptos-pytorch-inference", "kernel_id": "5450318"}, {"ref": "ibraheemmoosa/aptos-pytorch", "kernel_id": "5308015"}, {"ref": "geekforever/densenet-121-b5-transfer-learning-adam", "kernel_id": "5386269"}, {"ref": "geekforever/densenet-169-b5-pre-process-aug-adamopt", "kernel_id": "5355531"}, {"ref": "abimannan/aravind-hospital-blindness-detection", "kernel_id": "5426770"}, {"ref": "syedusama/blindness-detection-kick-start-with-resnet-34", "kernel_id": "5732704"}, {"ref": "rpeer333/aptos-pre-processing-and-pytorch-efficientnet", "kernel_id": "5712669"}, {"ref": "rpeer333/can-you-recognise-diabetic-retinopathy", "kernel_id": "5687447"}, {"ref": "mmotoki/finetune-420-b5-4fold-3bag-v2-diffepochs", "kernel_id": "5375812"}, {"ref": "nanditab35/vgg-3", "kernel_id": "5163173"}, {"ref": "nanditab35/vgg19-with-under-sampling", "kernel_id": "5176853"}, {"ref": "nanditab35/diabetic-retinopathy-inception-network", "kernel_id": "5223624"}, {"ref": "nanditab35/diabetic-retinopathy-inception-v3", "kernel_id": "5250437"}, {"ref": "buntyke/efficientnet-submission", "kernel_id": "5267645"}, {"ref": "joddle/filter-method", "kernel_id": "5763474"}, {"ref": "yosefardhito/pb0-87-pytorch-ordinal-regression-w-spacecutter", "kernel_id": "5355662"}, {"ref": "anuragtr/eye-7-fastai", "kernel_id": "5244326"}, {"ref": "cocoboling/efficientnetb5-with-keras-aptos-2019", "kernel_id": "5815792"}, {"ref": "tanlikesmath/aptos-2019-previous-dr-efficientnetb3-single-model", "kernel_id": "5562549"}, {"ref": "tanlikesmath/the-race-to-prevent-blindness-aptos-2019", "kernel_id": "5260428"}, {"ref": "tanlikesmath/resnet50-model-frozen-not-working-with-ranger", "kernel_id": "5773687"}, {"ref": "baranwal/blindness-detection-5", "kernel_id": "5157160"}, {"ref": "jeru666/aptos-preprocessing-update-histogram-matching", "kernel_id": "5415433"}, {"ref": "ren4yu/aptos-2019-probing-private-test-image-sizes", "kernel_id": "5373696"}, {"ref": "jayasoo/keras-densenet121-tta", "kernel_id": "5241106"}, {"ref": "susant2016/aptosblindnessprediction-susant16", "kernel_id": "5704371"}, {"ref": "sharmin/kernel9ee307e696", "kernel_id": "5300613"}, {"ref": "mayank17/efficientnet-old-data", "kernel_id": "5540502"}, {"ref": "mayank17/efficientnetb5-o", "kernel_id": "5686462"}, {"ref": "spandan28/resnet-based-fine-tuning", "kernel_id": "5996947"}, {"ref": "yeayates21/densenet-customaug-v4", "kernel_id": "5017599"}, {"ref": "yeayates21/densenet-keras-starter-fork-v2", "kernel_id": "5666617"}, {"ref": "uiiurz1/aptos-2019-11th-place-solution", "kernel_id": "5743012"}, {"ref": "jakeforsey/kernel2354a4360a", "kernel_id": "5190281"}, {"ref": "ankurdimri/densenet201-fast-ai-ben-graham-s-preprocessing", "kernel_id": "5207647"}, {"ref": "taindow/resnext-101-32x16d-training-and-inference", "kernel_id": "5038737"}, {"ref": "jackie789/taking-it-to-the-next-level", "kernel_id": "5379761"}, {"ref": "naivelamb/process-test-images-parallelly", "kernel_id": "5376761"}, {"ref": "anubhav1302/aptos", "kernel_id": "5290472"}, {"ref": "kaimingk/preprocess-images", "kernel_id": "5686660"}, {"ref": "julienpascal/ensemble-cnn", "kernel_id": "5869053"}, {"ref": "mikelkl/43th-place-top2-solution-stacking-inference", "kernel_id": "5691518"}, {"ref": "ryches/brainstorming-the-preprocessing-phase", "kernel_id": "5726319"}, {"ref": "conjuringjha/cnnvisualization-the-easy-way", "kernel_id": "5831099"}, {"ref": "itsshubham/blindness-detection", "kernel_id": "5017226"}, {"ref": "noth99y/first-submission-resnet50", "kernel_id": "5355364"}, {"ref": "serengil/blindness-prediction-automl", "kernel_id": "5586744"}, {"ref": "bhargav5040/aptos-fastai-0p713", "kernel_id": "5613377"}, {"ref": "bhargav5040/aptos-fastai-0p681", "kernel_id": "5482056"}, {"ref": "salilm23/effi-b0-1-2-3-5-6-aptos-2019-regression-avg", "kernel_id": "5659125"}, {"ref": "dimitreoliveira/175th-place-5-fold-efficientnetb5", "kernel_id": "5731894"}, {"ref": "i7p9h9/qwk-loss-keras-implementation", "kernel_id": "5046467"}, {"ref": "rane111/kernel-csv-kernal-subission", "kernel_id": "5837527"}, {"ref": "andyandy/aptos-inception-v4", "kernel_id": "5697155"}, {"ref": "andyandy/vgg19-batch-train-baseline", "kernel_id": "5088174"}, {"ref": "diskandar69/diabetic-retinopathy-prediction-fastal", "kernel_id": "5774189"}, {"ref": "shujunge/aptos-2019-blindness-detection", "kernel_id": "5703482"}, {"ref": "marcushorn/pytorch-resnet50-old-new-data", "kernel_id": "5713381"}, {"ref": "filemide/branched-of-aptos-vote", "kernel_id": "5293148"}, {"ref": "nwzish/aptos-submission-kernel", "kernel_id": "5474364"}, {"ref": "mehranrafiee/blindness-detection-resnet150", "kernel_id": "5691408"}, {"ref": "kiryteo/efficientnet-b6-with-fastai", "kernel_id": "5631202"}, {"ref": "ratthachat/workshop-augmentation-image-ai-for-eyes-2", "kernel_id": "5118781"}, {"ref": "srg9000/aptos-resnet50-3", "kernel_id": "5646119"}, {"ref": "atmadeepb/best-submission", "kernel_id": "5655675"}, {"ref": "infoabhitech/detect-diabetic-retinopathy-keras-load-resnet", "kernel_id": "5202320"}, {"ref": "xiewen112/remove-blurry-image-from-the-dataset", "kernel_id": "5079215"}, {"ref": "zxyu1995/garbageeifficientnet", "kernel_id": "5525275"}, {"ref": "kcaravapalli/blindness-detection-resnet34", "kernel_id": "5204458"}, {"ref": "mgiraygokirmak/mobilenetv2", "kernel_id": "5675267"}, {"ref": "ezzzio/retinascan", "kernel_id": "5147968"}, {"ref": "anndd3/resnet50-v5-trained-on-local", "kernel_id": "5154786"}, {"ref": "jclchan/classify-diabetic-retinopathy-img-using-fd-tda", "kernel_id": "5599875"}, {"ref": "maxmanko/quadratic-weighted-kappa-metric-in-keras", "kernel_id": "5125908"}, {"ref": "rajnishe/aptos-resnxt101", "kernel_id": "5635382"}, {"ref": "rajnishe/efficenet-b5", "kernel_id": "5576974"}, {"ref": "tenffe/efficientnet-pytorch-training-for-aptos-2019", "kernel_id": "5540018"}, {"ref": "tenffe/stacking-inference-for-aptos-2019", "kernel_id": "5540632"}, {"ref": "deeplearn1/aptos-resnet101-pytorch", "kernel_id": "5259397"}, {"ref": "xwxw2929/starter-kernel-for-0-79", "kernel_id": "5431919"}, {"ref": "debangshu16/densenet-class-weights-tta", "kernel_id": "5012488"}, {"ref": "jmartindelasierra/dr-diagnosis-from-retinal-texture-descriptors", "kernel_id": "5755202"}, {"ref": "hirune924/efficientnet", "kernel_id": "5031488"}, {"ref": "ashwindasr/fork-of-aptos-2", "kernel_id": "5033117"}, {"ref": "harendrap/fastai-densenet", "kernel_id": "5244178"}, {"ref": "harendrap/fastai-resnet", "kernel_id": "5415935"}, {"ref": "pipiking/grad-cam-keras", "kernel_id": "5823363"}, {"ref": "josejavierjo/laboratorio-4-data-science", "kernel_id": "5952054"}, {"ref": "marcogorelli/from-pytorch-transfer-learning-tutorial", "kernel_id": "5012536"}, {"ref": "adnanzaidi/starter-kernel-for-0-79", "kernel_id": "5833999"}, {"ref": "muhakabartay/bump-to-0-800-e-2ln-more-efficient", "kernel_id": "5627068"}, {"ref": "morganzhou/image-clean-and-randomforestclassifier", "kernel_id": "5554813"}, {"ref": "vinayak123tyagi/blindness-detection", "kernel_id": "5607294"}, {"ref": "sarkarpranab66/drishti-daan-keras-master", "kernel_id": "5023864"}, {"ref": "rishabha/aptos-blindness", "kernel_id": "5057167"}, {"ref": "nnezhxw/ensemble-models-by-vote", "kernel_id": "5522311"}, {"ref": "ttya16/re-aptos2019datapreprocessing-efficientnet-exdata", "kernel_id": "5261374"}, {"ref": "modojj/keras-efficientnetb3-tta", "kernel_id": "5726738"}, {"ref": "modojj/densenet121-and-cropping-aptos-2019", "kernel_id": "5028690"}, {"ref": "carlolepelaars/efficientnetb5-with-keras-aptos-2019", "kernel_id": "5240720"}, {"ref": "sarkriplau/taamfp-aptos-2019-challenge", "kernel_id": "5593751"}, {"ref": "haydenmuscat/full-eye-cropping-and-a-true-colour-ben-s-algo", "kernel_id": "5579255"}, {"ref": "haydenmuscat/dense-submission", "kernel_id": "5288539"}, {"ref": "jaideepvalani/save-jpg", "kernel_id": "5158832"}, {"ref": "mayankkestwal10/fastai-model-preparation", "kernel_id": "5384866"}, {"ref": "mayankkestwal10/fast-ai-model-training", "kernel_id": "5056954"}, {"ref": "sanninjiraya/efficient-net", "kernel_id": "5267194"}, {"ref": "rsinda/enb52", "kernel_id": "5654058"}, {"ref": "yangtaoshu/efficientnet", "kernel_id": "5546060"}, {"ref": "adisurana1/aptos-blind-detection", "kernel_id": "5615297"}, {"ref": "quickhawk/junoo", "kernel_id": "5362687"}, {"ref": "govindasawa/dataaug", "kernel_id": "5261910"}, {"ref": "gauripradhan/aptos-19-tta-tl-dnn", "kernel_id": "5721356"}, {"ref": "sarthakbatra/blindness-detection-fastai", "kernel_id": "5094271"}, {"ref": "samarthsarin/resnet-50-pytorch", "kernel_id": "5037576"}, {"ref": "ratikvig/kernelcc5ae3f115", "kernel_id": "5431943"}, {"ref": "adityakumar01/classifier", "kernel_id": "5025312"}, {"ref": "ramjib/aptos-blindness-detection", "kernel_id": "5714678"}, {"ref": "jtbontinck/cnn-xgb-end-to-end-1-54", "kernel_id": "5214059"}, {"ref": "tommzzhou/eda-and-preprocessing", "kernel_id": "5617306"}, {"ref": "navneetsajwan/resnet50-training-accuracy-84", "kernel_id": "5683669"}, {"ref": "loaiabdalslam/vgg16-layers-visualization-tutorial", "kernel_id": "5247581"}, {"ref": "fanconic/efficientnetb3-regression-keras", "kernel_id": "5514903"}, {"ref": "fanconic/efficientnetb3-regression-single-inference", "kernel_id": "5534787"}, {"ref": "fanconic/blending-kernel-top3-model-2-public-gm", "kernel_id": "5697153"}, {"ref": "fanconic/efficientnetb3-regression-model-1", "kernel_id": "5746677"}, {"ref": "fanconic/efficientnetb3-regression-model-2", "kernel_id": "5746752"}, {"ref": "fanconic/efficientnetb3-multilabel-model-3", "kernel_id": "5746825"}, {"ref": "sohaibanwaar1203/remove-blurry-image-from-the-dataset", "kernel_id": "5158498"}, {"ref": "agscin/polar-unrolling-preprocessing-78th-place", "kernel_id": "5725227"}, {"ref": "lchkhetiani/kernel7f9fff437a", "kernel_id": "5548487"}, {"ref": "lchkhetiani/kernel4298cb4b4a", "kernel_id": "5546414"}, {"ref": "lchkhetiani/kernel6c5dc530d3", "kernel_id": "5567829"}, {"ref": "nevermorefhq/aptos-eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "5751921"}, {"ref": "hirate12345/densenet-keras-wj", "kernel_id": "5083507"}, {"ref": "rakshithramagiri/parallel-preprocessing-with-popular-techniques", "kernel_id": "5143921"}, {"ref": "vh1981/aptos-2019-blindness-detection-2019-data-only", "kernel_id": "5623158"}, {"ref": "harsh1999/blindness-detection", "kernel_id": "5263365"}, {"ref": "phantomakame/efficient-net-3-models-keras-radam-tta", "kernel_id": "5587929"}, {"ref": "phantomakame/mobilenet-and-vgg16-keras-lrfinder", "kernel_id": "5190500"}, {"ref": "phantomakame/mobilenet-and-nasnet", "kernel_id": "5250080"}, {"ref": "vishalsinghtomar/vgg16-bottleneck-features", "kernel_id": "5600143"}, {"ref": "yougensei/alexnet-for-aptos-2019", "kernel_id": "5013722"}, {"ref": "filipmulier/ensemble-hetero-bayes", "kernel_id": "5721825"}, {"ref": "filipmulier/ensemble-hetero", "kernel_id": "5717724"}, {"ref": "iusami/hog-classifier", "kernel_id": "5545811"}, {"ref": "iusami/preprocess-iu", "kernel_id": "5186565"}, {"ref": "kimsunghun00/detect-diabetic-retinopathy", "kernel_id": "5279246"}, {"ref": "azupero/efficientnet-b6-inference-0901-1", "kernel_id": "5617830"}, {"ref": "amqdnguyen/keras-training-example", "kernel_id": "5711286"}, {"ref": "amqdnguyen/fast-ai-training-example", "kernel_id": "5711429"}, {"ref": "drawon111111/kernel1da1fbc091", "kernel_id": "5010273"}, {"ref": "drawon111111/keras-inception-v3-baseline", "kernel_id": "5073648"}, {"ref": "namepen/micro-tip-control-weight-save-custom-callback", "kernel_id": "5426171"}, {"ref": "caiyutiansg/efficientnetb5-keras-added-preproc-aptos-2019", "kernel_id": "5453591"}, {"ref": "virajbagal/aptos-clahe-efficiennetb5", "kernel_id": "5354213"}, {"ref": "supportvectordevin/fast-ai-starter-with-resnet-50", "kernel_id": "5560169"}, {"ref": "chopinforest/efficientnetb4-fastai-blindness-detection", "kernel_id": "5438653"}, {"ref": "chopinforest/mobilenet-olddata-20190731", "kernel_id": "5073460"}, {"ref": "chopinforest/learning-pytorch-20190729", "kernel_id": "5032109"}, {"ref": "artikwh/aptos-resnet18-model-pytorch", "kernel_id": "5299496"}, {"ref": "daisuke0209/densenet-random-forest-keras", "kernel_id": "5100723"}, {"ref": "marinan67/kernel-densenet", "kernel_id": "5614860"}, {"ref": "marinan67/kernel-optos0109", "kernel_id": "5630061"}, {"ref": "pltibles/aptos-2019-blindness-detection-v2", "kernel_id": "5786940"}, {"ref": "dannymac180/aptos-blindness-2", "kernel_id": "5336205"}, {"ref": "bonhart/inceptionv3-tta-grad-cam-pytorch", "kernel_id": "5023411"}, {"ref": "ramanchandra/aptos-blindness-detection-knn", "kernel_id": "5014611"}, {"ref": "mannychm/starter-eda-augmentation-convnet-using-tensorflow", "kernel_id": "5577242"}, {"ref": "mannychm/eda-data-augmentation-dropout-using-pytorch", "kernel_id": "5512292"}, {"ref": "mentalitet/fork-of-efficient-net-regression-folds", "kernel_id": "5028842"}, {"ref": "maureenliu/densenet-aug-external", "kernel_id": "5094572"}, {"ref": "fliske/resnet50-on-aptos", "kernel_id": "5606493"}, {"ref": "hritikrao/diabetic-retinopath-detection", "kernel_id": "5853193"}, {"ref": "climbingmountains/fork-of-kernel6bfb5c6611", "kernel_id": "5594247"}, {"ref": "climbingmountains/kernel6bfb5c6611", "kernel_id": "5576900"}, {"ref": "delta7564/ds-image-recognition", "kernel_id": "5939389"}, {"ref": "yasmin1/reconocimiento-de-im-genes", "kernel_id": "5862846"}, {"ref": "javozuvg/laboratorio-4", "kernel_id": "5862737"}, {"ref": "arr16774/kernel40d320ee76", "kernel_id": "5922458"}, {"ref": "winterchroma/fast-ai-resnet152-with-progressive-resizing", "kernel_id": "5541930"}, {"ref": "abhishek24021996/aptos-keras-dataugmentation", "kernel_id": "5195880"}, {"ref": "abhishek24021996/aptos-blindness-cb-6-1", "kernel_id": "5296602"}, {"ref": "nemethpeti/keras-implementation-for-0-829-0-916", "kernel_id": "5726932"}, {"ref": "sergei416/x-ray-data-resnet", "kernel_id": "5269621"}, {"ref": "karlo11/aptos-2019-efficientnet-b3-keras", "kernel_id": "5370447"}, {"ref": "welcometohellv/experimental-file", "kernel_id": "5939991"}, {"ref": "welcometohellv/basic-aptos-classifier", "kernel_id": "5254727"}, {"ref": "rmuthiah/aptos-2019-keras-v2-6-private-lb-0-899", "kernel_id": "5726450"}, {"ref": "anveshvankayala/tf-aptos-v1", "kernel_id": "5503267"}, {"ref": "kakirastern/kstern-aptos-2019", "kernel_id": "5440759"}, {"ref": "tgorlenko/project-22", "kernel_id": "5906421"}, {"ref": "priyask/rectangle-draw", "kernel_id": "5747839"}, {"ref": "kunal281187/aptos-fastai-resnet152", "kernel_id": "5429710"}, {"ref": "tufail999/blindness-detection-3", "kernel_id": "5963650"}, {"ref": "claurin1/aptos-2019-lime", "kernel_id": "5404210"}, {"ref": "raghavgupta5/kernelf656d1ecce", "kernel_id": "5241819"}, {"ref": "drcapa/aptos-2019-blindness-image-engineering-vgg19", "kernel_id": "5510349"}, {"ref": "mestafs/resnet", "kernel_id": "5844111"}, {"ref": "rajuyadav7532/eyes-diseases-problems", "kernel_id": "5216574"}, {"ref": "krammerg/submission-11-old-new-data-l-strat-augment", "kernel_id": "5274453"}, {"ref": "picartap/train-test-split-binary-model", "kernel_id": "5475363"}, {"ref": "mangesh14/blindness-test", "kernel_id": "5483638"}, {"ref": "darshan5206/aptos-blindeness-detection-cnn", "kernel_id": "5558130"}, {"ref": "fhopfmueller/removing-unwanted-correlations-in-training-public", "kernel_id": "5283715"}, {"ref": "mjurewicz3/aptos2019-blindness-detection", "kernel_id": "5558127"}, {"ref": "haowumelbourne/resnet50-starter", "kernel_id": "5261190"}, {"ref": "haowumelbourne/assemble0", "kernel_id": "5295522"}, {"ref": "quandapro/aptos-2019-submission", "kernel_id": "5665440"}, {"ref": "quandapro/aptos-efficientnetb3", "kernel_id": "5692577"}, {"ref": "pai777/diabetic-retinopathy-using-vgg16", "kernel_id": "5381358"}, {"ref": "onu6024/keras-resnet-test-time-augmentation", "kernel_id": "5172149"}, {"ref": "sherryhesysu/reproduction", "kernel_id": "5072492"}, {"ref": "a1pacaz/fastai-efficientnet-b5-preprocessing", "kernel_id": "5543364"}, {"ref": "amishsethi/more-efficient-efficientnet-for-0-792", "kernel_id": "5621180"}, {"ref": "karan1210/blood-retinopathy", "kernel_id": "5623982"}, {"ref": "chopinforest1986/efficientnetb6-noweights-before-20200310", "kernel_id": "5616638"}, {"ref": "chopinforest1986/efficientnetb6-20190905", "kernel_id": "5667189"}, {"ref": "johnneyr/kernel485ed7573b", "kernel_id": "5350496"}, {"ref": "pkhosravi/aptos-2019-diabetes-retinopothy-detection", "kernel_id": "5091626"}, {"ref": "skslater/aptos-2-classification", "kernel_id": "5530488"}, {"ref": "skslater/kernel2c9b3e693a", "kernel_id": "5603887"}, {"ref": "yasagure/contrive-usage-of-v-features-in-official-xgboost", "kernel_id": "5372495"}, {"ref": "geofflee01/ok-kernel", "kernel_id": "5393972"}, {"ref": "geofflee01/goodkernel", "kernel_id": "5555987"}, {"ref": "moorthysiva/kernel-aptos", "kernel_id": "5792190"}, {"ref": "aayushkt/xceptionnet", "kernel_id": "5236837"}, {"ref": "jian1201/eye-inference-num-class-1-ver3", "kernel_id": "5364705"}, {"ref": "est161038/lab4-1", "kernel_id": "5940788"}, {"ref": "mar17889/kernel62a7eb826f", "kernel_id": "5863114"}, {"ref": "yuechenwu0120/classification-baseline-c27dfe", "kernel_id": "5721548"}, {"ref": "samirshad/kernel29315a1717", "kernel_id": "5892560"}, {"ref": "ivettemar16020/l4ds-image-recognition", "kernel_id": "5863106"}, {"ref": "analuciadiazleppe/lab4-pruebapython", "kernel_id": "5926415"}, {"ref": "danielgarciagiron/kernel6ac1a8776b", "kernel_id": "5923858"}, {"ref": "jagannathrk/eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "6763897"}, {"ref": "zhutianyucs/kernel3364a6675f", "kernel_id": "6118102"}, {"ref": "saranyashalya/pytorch-torchvision", "kernel_id": "6594506"}, {"ref": "saranyashalya/pytorch-pretrained-model-tta", "kernel_id": "6609961"}, {"ref": "prazhant/detect-diabetic-retinopathy-fastai-tutorial", "kernel_id": "6014821"}, {"ref": "nnick14/aptos-submissions-cv", "kernel_id": "6648933"}, {"ref": "coder98/aptos-resnet50-baseline", "kernel_id": "6643471"}, {"ref": "justinaskazanavicius/cappgle2-0", "kernel_id": "6776871"}, {"ref": "hank60033/resnet50", "kernel_id": "6552573"}, {"ref": "hank60033/efficientnetb5-cs583", "kernel_id": "6569906"}, {"ref": "rohithp0304/densenet", "kernel_id": "6246293"}, {"ref": "pawankpathak/kernel2b3a78121a", "kernel_id": "6193269"}, {"ref": "aielawady/horaira-exmaple", "kernel_id": "6290239"}, {"ref": "rohith464/fast-ai-first-project-to-detect-blindness", "kernel_id": "6757261"}, {"ref": "flyingmuttus/fast-ai-fundus-eye", "kernel_id": "6594802"}, {"ref": "tgorlenko/project-3", "kernel_id": "6370391"}, {"ref": "mittalh/aptos-2019-blindness-detection", "kernel_id": "6132443"}, {"ref": "hieunpd/fork-of-fork-of-fork-of-fork-of-kernel6519ae0776", "kernel_id": "6488852"}, {"ref": "pranav2103/minor-final-with-cnn", "kernel_id": "6049884"}, {"ref": "jamescribb/model-visualiser-notebook", "kernel_id": "6129852"}, {"ref": "anibanyal/kaggle-blindness", "kernel_id": "6823777"}, {"ref": "karishmachichria/diabetes", "kernel_id": "6119955"}, {"ref": "braindeadtheory/resnetpretrainedensemble", "kernel_id": "6799381"}, {"ref": "mernaadell/blindness-detection", "kernel_id": "6819748"}, {"ref": "ctrasd123/kernel5915277570", "kernel_id": "6929005"}, {"ref": "dennispynadath/image-processing-densenet-blindness-detection", "kernel_id": "6319236"}, {"ref": "rohitdurbha/sih-eye", "kernel_id": "6816499"}, {"ref": "shashwatwork/dymystifying-diabetic-retinopathy-cnn", "kernel_id": "7988200"}, {"ref": "mika30/efficientnets-for-diabetic-retinopathy-detection", "kernel_id": "7291933"}, {"ref": "mehul301/aptos-blindness", "kernel_id": "7151692"}, {"ref": "hashem039/hm-dr-aptos", "kernel_id": "7463210"}, {"ref": "nids24/from-resnet-and-cropping", "kernel_id": "7932848"}, {"ref": "grohith/aptos-eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "7332969"}, {"ref": "hanjoonchoe/aptos-quick-resnet101-pytorch", "kernel_id": "7087706"}, {"ref": "naveens123/ongoing", "kernel_id": "7480860"}, {"ref": "alanlands23/kernal1-1", "kernel_id": "7638204"}, {"ref": "kamlesh1102/diabetic-retinopathy-detector", "kernel_id": "7359286"}, {"ref": "karishmachichria/diabetes2", "kernel_id": "7061631"}, {"ref": "jefffro/jc-sr-project-retinopathy", "kernel_id": "7249071"}, {"ref": "m0nika/early-blindness", "kernel_id": "7652022"}, {"ref": "smohit067/aptos-blindness-detection-2019-2020", "kernel_id": "7174893"}, {"ref": "abdulrahmanmohammed/blindness-detection", "kernel_id": "7035035"}, {"ref": "yassermohamed/keras-resnet-tta", "kernel_id": "7988140"}, {"ref": "rubensteendam/aptos-resnet-vs-inception2", "kernel_id": "7874636"}, {"ref": "rubensteendam/aptos-resnet-vs-inception", "kernel_id": "7918851"}, {"ref": "xrobot/aptos-classification-training-pytorch", "kernel_id": "8419371"}, {"ref": "desubhan/kernel697ae5a714", "kernel_id": "8425433"}, {"ref": "yogendrayatnalkar/aptos-with-nn", "kernel_id": "8393168"}, {"ref": "yogendrayatnalkar/m1-effnetb5-using-ram-fork1", "kernel_id": "8663778"}, {"ref": "yogendrayatnalkar/fork-of-aptos-submission", "kernel_id": "8716816"}, {"ref": "pankssuthar/diabeticretinopathy", "kernel_id": "8278617"}, {"ref": "hanozd1234/aptos-fork2", "kernel_id": "8490630"}, {"ref": "hanozd1234/aptos-with-nn-fork1", "kernel_id": "8494696"}, {"ref": "niranjanvadla1609/aptos-blindness-detection-augmentation", "kernel_id": "8558510"}, {"ref": "ryancburke/blindness-detection", "kernel_id": "8797302"}, {"ref": "ikyathvarma/diabetic-retinopathy-model-2", "kernel_id": "8503226"}, {"ref": "jorgediego27/kernel5f1a1cb21f", "kernel_id": "8713932"}, {"ref": "jorgediego27/kernel3f92a5e025", "kernel_id": "8712959"}, {"ref": "memelvin/kernal1-1-16881b", "kernel_id": "8515737"}, {"ref": "pop2005check/aptos-2019-blindness-detection", "kernel_id": "8155998"}, {"ref": "darwinwin/blindness-prediction-automl", "kernel_id": "8098225"}, {"ref": "himanishahilan/diabetic-rectiopathy-detector-5a2217", "kernel_id": "8232984"}, {"ref": "easyaistudy/ultra-process-efb5-20200311", "kernel_id": "8344796"}, {"ref": "womeigaibian/aptos-2019-densenet-keras-starter", "kernel_id": "8573402"}, {"ref": "overload10/simple-model-using-pytorch", "kernel_id": "9984513"}, {"ref": "grohith/aptos-blindness-detection-eda-and-keras-resnet50", "kernel_id": "9647763"}, {"ref": "quas4r/seresnext50-albumentations", "kernel_id": "9567269"}, {"ref": "quas4r/inference-new", "kernel_id": "9807745"}, {"ref": "mehmetbicici/diabetic-retinopathy-research-and-detection", "kernel_id": "9432890"}, {"ref": "abdelkrimbeg/diabetic-retinopathy-to-stop-blindness", "kernel_id": "9559043"}, {"ref": "theo29/diplomav3", "kernel_id": "9920787"}, {"ref": "pkchowdhury/dreff5fold", "kernel_id": "9703986"}, {"ref": "alinusik/fork-of-fork-of-aiproject0-1", "kernel_id": "9647903"}, {"ref": "alinusik/fork-of-aiproject0-1", "kernel_id": "9631989"}, {"ref": "womeigaibian/efficientnetb5-with-keras-aptos-2019", "kernel_id": "9169021"}, {"ref": "womeigaibian/this-is-efficientnet", "kernel_id": "9316254"}, {"ref": "gautamgottipati/kernel6a35809a2f", "kernel_id": "10454801"}, {"ref": "dataffolter/diabetic-kappa-floss-kfold-densenet202", "kernel_id": "10546262"}, {"ref": "system32/using-inception-v3-aptos", "kernel_id": "10645953"}, {"ref": "system32/effnet-preprocessed", "kernel_id": "10875784"}, {"ref": "system32/densenet121-aptos-preprocess", "kernel_id": "10809642"}, {"ref": "shidqiet/non-linear-model", "kernel_id": "10242425"}, {"ref": "chenchoungpeng/resnet34", "kernel_id": "10593770"}, {"ref": "shaunakjoshi1407/blindness-detection-complete-pytorch-training", "kernel_id": "10362707"}, {"ref": "aitezazakhtar/efficientnetb3-multilabel-model-3-70c24c", "kernel_id": "10206874"}, {"ref": "givral/baseline-keras-with-circle-crop-and-augmentation", "kernel_id": "10870361"}, {"ref": "gvsgoutham/course-project-blindness-detection", "kernel_id": "10313996"}, {"ref": "shidqie/cross-validation-8", "kernel_id": "10280326"}, {"ref": "shidqie/cv-8-roc-auc", "kernel_id": "10304021"}, {"ref": "saujanyatiwari/aptos-preprocess", "kernel_id": "10937609"}, {"ref": "saujanyatiwari/all-nets-aptos", "kernel_id": "10952726"}, {"ref": "saujanyatiwari/ensemble-aptos", "kernel_id": "10965592"}, {"ref": "junhengtan/blindness-detection", "kernel_id": "10902505"}, {"ref": "anirbanbhowmick/aptos-resnet50-baseline", "kernel_id": "11147123"}, {"ref": "anwoy97/final-sub", "kernel_id": "11880304"}, {"ref": "ayuraj/aptos-blindness-detection-eda-and-keras-resnet50", "kernel_id": "11515230"}, {"ref": "system32/kernel1e507a1952", "kernel_id": "11086432"}, {"ref": "prasundatta/aptosblindness1", "kernel_id": "11523182"}, {"ref": "gurdeepsinghbhatia/notebook6a731f9674", "kernel_id": "11822119"}, {"ref": "rupeish26/aptos-from-scratch01", "kernel_id": "11878505"}, {"ref": "rajjousoha/diabetic-retinopathy-pred-model-explain", "kernel_id": "11225277"}, {"ref": "jaipatel02/diabetic-retinopathy", "kernel_id": "11311541"}, {"ref": "jaipatel02/diabetic-retinopathy-inception-v3", "kernel_id": "11432167"}, {"ref": "paulbelches/notebooka082814196", "kernel_id": "11187666"}, {"ref": "dhruvinshah617/blindness-detection", "kernel_id": "11199240"}, {"ref": "javiercarpio57/redes-neuronales-lab-3", "kernel_id": "11277779"}, {"ref": "adnankhan161/fyp-dense-net", "kernel_id": "11746159"}, {"ref": "avinashbeck/aptos-2019-fastai-v2-starter-kernel", "kernel_id": "12528463"}, {"ref": "sumitv29/diabeticretinopathy", "kernel_id": "12155655"}, {"ref": "gphilmod/memory-metric", "kernel_id": "12444714"}, {"ref": "saurabhmaydeo/notebookbb2d7fdd17", "kernel_id": "12441801"}, {"ref": "rupeish26/aptos2019-eda", "kernel_id": "12006279"}, {"ref": "shidqiet/diabetic-retinopathy-mobilenetv2", "kernel_id": "12331267"}, {"ref": "shidqiet/diabetic-retinopathy-mobilenetv2-svm", "kernel_id": "12331269"}, {"ref": "juanwidyaya/aptos2019-graham-s-preprocessing", "kernel_id": "12386205"}, {"ref": "onurakkse/implementing-with-vgg16", "kernel_id": "12844424"}, {"ref": "jacobjebarajv/dsp-retinopathy-edited", "kernel_id": "12146144"}, {"ref": "harugumo/resnet-dr", "kernel_id": "12234614"}, {"ref": "robert780612/deeplearner", "kernel_id": "13496334"}, {"ref": "ggg999bbb666/notebook8cb8dbb420", "kernel_id": "13523968"}, {"ref": "amr009/fast-prototyping-image-classification-with-tez", "kernel_id": "13950213"}, {"ref": "wmloh98/notebooka0eeed4bad", "kernel_id": "13296055"}, {"ref": "wmloh98/notebook59b83e7ebf", "kernel_id": "13289508"}, {"ref": "rushali2406/dense121-or-169", "kernel_id": "13966489"}, {"ref": "ipythonx/keras-image-augmentations", "kernel_id": "13400147"}, {"ref": "varjatin/notebookecfbe9f68f", "kernel_id": "13403125"}, {"ref": "nctuvrdl/notebook318fe13da6", "kernel_id": "13496444"}, {"ref": "deniskondov/notebookfa49318fe9", "kernel_id": "13338278"}, {"ref": "akshaygovardhan/final-year-project", "kernel_id": "13467108"}, {"ref": "shidqie/fork-of-diabetic-retinopathy-mobilenetv2-402b11", "kernel_id": "13790546"}, {"ref": "ishangirgaonkar/edi2020", "kernel_id": "13465399"}, {"ref": "karticamodi/drgrading", "kernel_id": "13404811"}, {"ref": "csdarklanx/nctu-cs-t0828-final-aptos-2019-0856152", "kernel_id": "13699994"}, {"ref": "crystalhuang0523/try111", "kernel_id": "13604356"}, {"ref": "stormdiv/nctu-cs-t0828-final-aptos-2019-0856152", "kernel_id": "13459198"}, {"ref": "jyruan/notebook0f0f494ac4", "kernel_id": "13385716"}, {"ref": "harugumorbq/notebookf726168f4a", "kernel_id": "13186709"}, {"ref": "bohau0856095/notebooka4cf7f3c4d", "kernel_id": "13336875"}, {"ref": "jerry00914/notebook6ce33caed9", "kernel_id": "13726142"}, {"ref": "shidqiet/diabetic-retinopathy-mobilenetv2-messidor", "kernel_id": "14209174"}, {"ref": "shidqiet/diabetic-retinopathy-mobilenetv2-idrid", "kernel_id": "14182289"}, {"ref": "ammarchalifah/baseline-study-efficientnetb6", "kernel_id": "14836614"}, {"ref": "ammarchalifah/baseline-study-efficientnetb0", "kernel_id": "14814362"}, {"ref": "ammarchalifah/baseline-study-efficientnetb1", "kernel_id": "14831641"}, {"ref": "ammarchalifah/baseline-study-efficientnetb2", "kernel_id": "14831844"}, {"ref": "ammarchalifah/baseline-study-efficientnetb3", "kernel_id": "14833111"}, {"ref": "ammarchalifah/baseline-study-efficientnetb4", "kernel_id": "14833975"}, {"ref": "ammarchalifah/baseline-study-efficientnetb5", "kernel_id": "14834491"}, {"ref": "kirtimaangogna/notebook8044c5e906", "kernel_id": "14287247"}, {"ref": "mehmetokuyar/efficientnet-blindness-detection", "kernel_id": "14369671"}, {"ref": "givral/giabach", "kernel_id": "14647987"}, {"ref": "akshaygovardhan/automatic-detection-of-diabetic-retinopathy", "kernel_id": "14663517"}, {"ref": "bachaboos/fork-of-n-vs-c-vs-g-vs-m-vs-h-a-aeb5d5", "kernel_id": "14635343"}, {"ref": "jayadevvasudevan/diabetic-retinopathy-shap-model-explainability", "kernel_id": "14381908"}, {"ref": "abhishekdeshpande11/diabetic-retinopathy", "kernel_id": "14735263"}, {"ref": "harugumo/effnet", "kernel_id": "14218089"}, {"ref": "shahlanaseri/optica1-0", "kernel_id": "14229140"}, {"ref": "yizhoumaxzhang/practicelearning-yzhang", "kernel_id": "14310493"}, {"ref": "janaushad98/aptos-2019-eda", "kernel_id": "15781219"}, {"ref": "habibmrad1983/intro-aptos-diabetic-retinopathy-eda-starter", "kernel_id": "15700823"}, {"ref": "habibmrad1983/aptos-eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "15616132"}, {"ref": "egerv256/notebookbb952d3786", "kernel_id": "15684584"}, {"ref": "egerv256/notebook559a9ee3c2", "kernel_id": "15686095"}, {"ref": "varjatin/drgrading", "kernel_id": "15670534"}, {"ref": "ammarchalifah/iter-1-efficientnetb1", "kernel_id": "15031224"}, {"ref": "dk9989/codrfiipdl-minorproject-review1", "kernel_id": "15073978"}, {"ref": "metehankeskn/aptos", "kernel_id": "15218944"}, {"ref": "shreenafromina/retrieval", "kernel_id": "15957775"}, {"ref": "dumbinternet/aptos-2019-densenet-keras-starter", "kernel_id": "15689536"}, {"ref": "deepakhiremat/detection-of-diabetic-retinopathy-using-densenet", "kernel_id": "15830744"}, {"ref": "shubhamgajbhiye/aptos-blindness-detection-eda-and-keras-resnet50", "kernel_id": "16285599"}, {"ref": "okeaditya/train-robust-model", "kernel_id": "16996885"}, {"ref": "okeaditya/train-baseline-model", "kernel_id": "16036391"}, {"ref": "yashasvi25/notebook9241234194", "kernel_id": "16700761"}, {"ref": "yasserhessein/aptos-blindness-detection-with-resnet152v2", "kernel_id": "16958074"}, {"ref": "arunaakula/aptos-eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "16032452"}, {"ref": "arunaakula/aptos-blindness-detection-eda-and-keras-resnet50", "kernel_id": "16239807"}, {"ref": "arunaakula/aptos-cnn", "kernel_id": "16221617"}, {"ref": "tejask15/aptos-blindn", "kernel_id": "16966708"}, {"ref": "swathisingh2001/dbdla", "kernel_id": "16948129"}, {"ref": "abhimalyachowdhury/aptos-testing-abhimalya", "kernel_id": "16044835"}, {"ref": "parikshithsingh/sub-nb", "kernel_id": "16363438"}, {"ref": "ambarish/aptos-resnet-101", "kernel_id": "17630340"}, {"ref": "ipythonx/efficientnet-with-keras-aptos-2019", "kernel_id": "17334368"}, {"ref": "stpeteishii/apros2019-blindness-detection-densenet201", "kernel_id": "17179589"}, {"ref": "creecsh/dr-git-copy", "kernel_id": "17164975"}, {"ref": "creecsh/preprocess-nb", "kernel_id": "17213136"}, {"ref": "mehmetsametdurgun/aptos-and-eyepacks-aptos-4", "kernel_id": "17370921"}, {"ref": "khadiimejhumka/aptos-blindness-detection-resnet", "kernel_id": "17790648"}, {"ref": "tejask15/imgproc", "kernel_id": "17756607"}, {"ref": "ratul6/aptos-blindness-detection-with-resnet152v2", "kernel_id": "17260247"}, {"ref": "ismailkayaa/sma-l-kaya-dr-tesp-t", "kernel_id": "17357905"}, {"ref": "ruturajghodke/lp3-ml-diabeticretinopathy", "kernel_id": "17215758"}, {"ref": "samuel0323/06-06", "kernel_id": "17503051"}, {"ref": "samuel0323/06-12", "kernel_id": "17690488"}, {"ref": "ozkayaercan/diyabetik-retinopati-eff5", "kernel_id": "17656419"}, {"ref": "anmoljhanwar/notebookf290712e6e", "kernel_id": "17161164"}, {"ref": "abdelkhalekibrahim/pickle-dataset1", "kernel_id": "17114811"}, {"ref": "akshil399/dr-detection-using-dcnn", "kernel_id": "17254699"}, {"ref": "deepakhiremat/detection-of-diabetic-retinopathy-using-vgg16", "kernel_id": "17284071"}, {"ref": "parikshithsingh/dr-recognition", "kernel_id": "17215453"}, {"ref": "mittevenkatesh/detection-of-diabetic-retinopathy-using-vgg16", "kernel_id": "17282784"}, {"ref": "mittevenkatesh/detection-of-diabetic-retinopathy-using-resent50", "kernel_id": "17284031"}, {"ref": "yangsoyun/data-preprocessing", "kernel_id": "17330134"}, {"ref": "yangsoyun/multi-class-classification-with-all-data", "kernel_id": "17910682"}, {"ref": "yangsoyun/down-sampling-multi-class-classification", "kernel_id": "17910593"}, {"ref": "notmekagglenoob/diabetic-retinopathy-using-res-net", "kernel_id": "17139069"}, {"ref": "notmekagglenoob/detection-of-diabetic-retinopathy", "kernel_id": "17215664"}, {"ref": "tejask15/b5-efnet-img-proc", "kernel_id": "18291031"}, {"ref": "tejask15/b5-enet", "kernel_id": "18286575"}, {"ref": "architdehloo/data-preprocess", "kernel_id": "18241386"}, {"ref": "banggeonwoo/cmd-blindness-detection", "kernel_id": "18826816"}, {"ref": "swathisingh2001/major-project", "kernel_id": "18282809"}, {"ref": "chaiitraahegde/b4-enet", "kernel_id": "18286546"}, {"ref": "chaiitraahegde/b3-efnet-img-proc", "kernel_id": "18290254"}, {"ref": "yuvrajsinhachowdhury/notebook4025f009da", "kernel_id": "18760182"}, {"ref": "yuvrajsinhachowdhury/apros2019-blindness-detection-yuv", "kernel_id": "18997448"}, {"ref": "swagataboruah2/baseline-study-efficientnetb4", "kernel_id": "18382340"}, {"ref": "swagataboruah2/copy-2", "kernel_id": "18381383"}, {"ref": "dmahaja/eda-images", "kernel_id": "18842742"}, {"ref": "nimodk/cmd-blindness-detection", "kernel_id": "18902370"}, {"ref": "helpau/fork-of-notebookf4eac8db37", "kernel_id": "19467474"}, {"ref": "fatimaz2703/aptos-2019-blindness-detection-using-resnet50", "kernel_id": "19351284"}, {"ref": "balajiai/diabetic-retinopathy-detection-using-pytorch", "kernel_id": "19647300"}, {"ref": "vinayakchaudhary/b5-enet", "kernel_id": "19568012"}, {"ref": "vinayakchaudhary/notebookf30568c6d4", "kernel_id": "19881835"}, {"ref": "rohinths/notebookedceea39c9", "kernel_id": "20992050"}, {"ref": "supreethrao/vision-transformers-are-for-vision", "kernel_id": "20967446"}, {"ref": "murugeshkrish/vgg-blind-detection-model", "kernel_id": "20275738"}, {"ref": "ahmeddosama/aptos-sequential", "kernel_id": "20723081"}, {"ref": "maheshwarikrishnan/densenet-eye", "kernel_id": "20291390"}, {"ref": "mahesh006/efficientnetb3", "kernel_id": "21638380"}, {"ref": "rohinths/notebook6488796718", "kernel_id": "21682407"}, {"ref": "eberthfelipe/trabalho-2-m-dulo-11-deep-learning", "kernel_id": "21522754"}, {"ref": "aristarhbfg/blindness-dataset", "kernel_id": "21396964"}, {"ref": "rashmikiragi/notebook-shap", "kernel_id": "21944035"}, {"ref": "vinayakchaudhary/fork-of-notebook29131e35b5", "kernel_id": "21914352"}, {"ref": "vinayakchaudhary/notebook540950b0f0", "kernel_id": "21079738"}, {"ref": "sindhupriyak/b5-efficientcnn", "kernel_id": "21205015"}, {"ref": "cs03sindhupriyak/densenet", "kernel_id": "21686492"}, {"ref": "naveenganesh2001/normalization", "kernel_id": "21103661"}, {"ref": "anamulhasandhusor/4-2aptos", "kernel_id": "22086570"}, {"ref": "anujagrawal30/diabetic-retinopathy-detection-using-pytorch", "kernel_id": "22303495"}, {"ref": "joannracheljacob/notebook65dc046c42", "kernel_id": "22632175"}, {"ref": "pineapplepencil/first-models", "kernel_id": "22148610"}, {"ref": "pineapplepencil/vit-models", "kernel_id": "22444326"}, {"ref": "mdmahmudulhasanmubin/efficientnetb5-with-keras-aptos-2019", "kernel_id": "22640170"}, {"ref": "msagmj/using-densenet121", "kernel_id": "22510115"}, {"ref": "sreekrishnas/notebook", "kernel_id": "22631648"}, {"ref": "dexterz22/dickhead-proyect", "kernel_id": "22054180"}, {"ref": "abderaoufmoustari/preprocessing", "kernel_id": "22583774"}, {"ref": "rashmikiragi/notebookshapheatmap", "kernel_id": "22846248"}, {"ref": "sindhupriyak/ed-code", "kernel_id": "22154434"}, {"ref": "manasakrishnan26/notebookf30568c6d4", "kernel_id": "22690531"}, {"ref": "anamuldhusor/4-2aptos", "kernel_id": "22421092"}, {"ref": "rajjousoha/diabetic-retinopathy-shap-model-explainability", "kernel_id": "23724561"}, {"ref": "rajjousoha/diabetic-retinopathy-shap-model-explainab-14bf35", "kernel_id": "23724605"}, {"ref": "rohinths/dr-ga", "kernel_id": "23821308"}, {"ref": "abderaoufmoustari/fork-of-preprocessing", "kernel_id": "23076131"}, {"ref": "asensabuncu/diabetic-retino-sukranyaman-2", "kernel_id": "23044108"}, {"ref": "asensabuncu/aptos-veri-islem-sukranyaman-1", "kernel_id": "23044919"}, {"ref": "icejmzhang/aptos2019", "kernel_id": "24072622"}, {"ref": "ektubesh/downloading-images", "kernel_id": "24123729"}, {"ref": "raghulsenthilkumar/notebook48e9f5327d", "kernel_id": "24939703"}, {"ref": "raghulsenthilkumar/blindness-detection", "kernel_id": "24923649"}, {"ref": "abderaoufmoustari/notebookfa548e6cbe", "kernel_id": "24652129"}, {"ref": "abderaoufmoustari/heatmap", "kernel_id": "24340288"}, {"ref": "eason16888/aptos2019", "kernel_id": "24493555"}, {"ref": "abdelrhmanragab/diabetic-retinopathy-detection", "kernel_id": "24568667"}, {"ref": "sindhupriyak/efficient-cnn", "kernel_id": "24257439"}, {"ref": "omarkillbi/r-tinopathie-diab-tique-resnetv2-vgg16", "kernel_id": "24756087"}, {"ref": "easara/devoxxma22-inspect-your-model", "kernel_id": "25547386"}, {"ref": "yashjain2108/inception-resnet-v2", "kernel_id": "25091467"}, {"ref": "abdoahmed0909/aptos19-densenet-trained-with-old-and-new-6f2bdf", "kernel_id": "25046713"}, {"ref": "abdoahmed0909/aptos19-densenet-trained-with-old-and-new-6019a9", "kernel_id": "25048796"}, {"ref": "anushkaanthony/classify-diabetic-retinopathy-ensemble", "kernel_id": "25890772"}, {"ref": "zhzhhbr/aptos-vit", "kernel_id": "25669719"}, {"ref": "darrengreenhand/diabetic-retinopathy-detection-using-pytorch", "kernel_id": "25042675"}, {"ref": "sarahali232/gp-densenet-trained-with-old-abdul", "kernel_id": "25144162"}, {"ref": "radhikasethi/densenet121", "kernel_id": "26553212"}, {"ref": "gowthumraj/resnet50ver1", "kernel_id": "26567251"}, {"ref": "gowthumraj/rough-draft-1", "kernel_id": "26409346"}, {"ref": "mayankrajpurohit/retinal-diabetes-submission", "kernel_id": "26642199"}, {"ref": "amryasser22/aptos-blindness-detection-eda-and-keras-resnet50", "kernel_id": "26379344"}, {"ref": "zhzhhbr/aptos-cvt", "kernel_id": "26232741"}, {"ref": "zhzhhbr/aptos-cnn", "kernel_id": "26156274"}, {"ref": "matheusutino/classification-diabetic-retinopathy", "kernel_id": "26427343"}, {"ref": "abderaoufmoustari/fork-of-multiclass-local-t-0-3-95-96", "kernel_id": "26689997"}, {"ref": "xiaobeixiaobei/aptos-resnet50-baseline", "kernel_id": "26811231"}, {"ref": "jayasaikotamsetti/diabetic-retinopathy-detection-e16976", "kernel_id": "26368474"}, {"ref": "ambikachanagond/dsp-retinopathy-edited", "kernel_id": "26798578"}, {"ref": "jerofad/pre-train-vits-aptos", "kernel_id": "27561508"}, {"ref": "mmraza/keras-densenet-aptos", "kernel_id": "27777512"}, {"ref": "ajithsamraj/dr-detection", "kernel_id": "27167658"}, {"ref": "mob3dr/kernal1-1", "kernel_id": "27507055"}, {"ref": "saivyagulati/xception-0-2", "kernel_id": "27349142"}, {"ref": "asensabuncu/dr-shap-kran-yaman", "kernel_id": "27622862"}, {"ref": "nadaalikeshk/kernal1-1", "kernel_id": "27471690"}, {"ref": "saivyagulati18/newres50", "kernel_id": "27333350"}, {"ref": "saivyagulati18/densenet121", "kernel_id": "27327781"}, {"ref": "kamaleshtk/keras-densenet-aptos", "kernel_id": "27127291"}, {"ref": "prakultiwari/diabetic-retinopathy-detection", "kernel_id": "27167675"}, {"ref": "saivya/newdense121-0-2split-binary-bn", "kernel_id": "27354347"}, {"ref": "saivya/resnet-preprocessed", "kernel_id": "27422258"}, {"ref": "utkarshgulati/res50-preprocessed", "kernel_id": "27436462"}, {"ref": "utkarshgulati/vgg16", "kernel_id": "27733360"}, {"ref": "utkarshgulati/densenet", "kernel_id": "27733667"}, {"ref": "larry0607/restnet50-dr", "kernel_id": "27866678"}, {"ref": "xuejiaqi/diabetic-retinopathy-data", "kernel_id": "28535482"}, {"ref": "girish17019/aptos", "kernel_id": "28469720"}, {"ref": "qpochlabs/efficientnetb3-multilabel-model-3", "kernel_id": "28233318"}, {"ref": "medapatisuma/aptos", "kernel_id": "28843885"}, {"ref": "bilalboukerma/vision-transformers-are-for-vision", "kernel_id": "28109302"}, {"ref": "maihussein2/efficientnet-densenet", "kernel_id": "28018827"}, {"ref": "maihussein2/final1", "kernel_id": "28256079"}, {"ref": "maihussein2/fork-of-final1-0b8fcb", "kernel_id": "28288744"}, {"ref": "nadaalikeshk/fork-of-final1-0b8fcb", "kernel_id": "28287457"}, {"ref": "abdulrehmankaggle/efficientnet", "kernel_id": "28354883"}, {"ref": "hazemahmedmurshedi/diabetic-retinopathy-detection-by-resnet18", "kernel_id": "28755328"}, {"ref": "dhruvsangal/dai-ret-training", "kernel_id": "29635119"}, {"ref": "girish17019/aptos-submission", "kernel_id": "29239190"}, {"ref": "girish17019/aptos-regression", "kernel_id": "29470912"}, {"ref": "aravindanr22052001/aptos", "kernel_id": "29980075"}, {"ref": "yahyahajlaoui/aptos-2019-blindness-detection-using-resnet50", "kernel_id": "29821288"}, {"ref": "vaishak1232/vgg16-layers-visualization-tutorial", "kernel_id": "30740279"}, {"ref": "meddhiaeddinedabbech/lump-detection", "kernel_id": "30365040"}, {"ref": "muhammadhassan1000/dr-classification", "kernel_id": "30759140"}, {"ref": "rahuldebmohalder/efficient-cnn", "kernel_id": "30038007"}, {"ref": "rahuldebmohalder/l-inception-resnet-v2-resnet101v2", "kernel_id": "30038508"}, {"ref": "rahuldebmohalder/laboni-v1-efficientnetb3-multilabel-model-3", "kernel_id": "30038419"}, {"ref": "abderaoufmoustari/article-code-execution-onlyclahe", "kernel_id": "30177451"}, {"ref": "aashir2180/diabetic-retinopathy-detection-using-pytorch", "kernel_id": "30561155"}, {"ref": "priyadharshika33/train", "kernel_id": "30523172"}, {"ref": "easara/dr-grade-classification-with-vit-grad-cam", "kernel_id": "31141682"}, {"ref": "drsubhrenduguhaneogi/sgn-eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "31524904"}, {"ref": "rahuldebmohalder/l-densenet201", "kernel_id": "31516475"}, {"ref": "rahuldebmohalder/l-keras-efficientnet", "kernel_id": "31119533"}, {"ref": "rekhav19bce1871/cnn-model", "kernel_id": "31578119"}, {"ref": "ehasan40/retina", "kernel_id": "31831828"}, {"ref": "adwaithj/sample-code-6-on-aptos", "kernel_id": "31448442"}, {"ref": "rahul110228/l-efficientnetb5-b7", "kernel_id": "31516875"}, {"ref": "lsairevanth/dbr-final", "kernel_id": "31882760"}, {"ref": "keerthisainni/detection-of-diabetic-retinopathy-using-densenet", "kernel_id": "31989180"}, {"ref": "msishratkhan/diabetic-retinopathy-classification", "kernel_id": "31457006"}, {"ref": "maitysandip/diabetic-retinopathy-detection", "kernel_id": "32567139"}, {"ref": "muhammad74/diabetic-retinopathy-detection-2-classes", "kernel_id": "32920251"}, {"ref": "sayedmahmoud/diabetic-retinopathy-detection", "kernel_id": "32736287"}, {"ref": "olafarid/cnn-model", "kernel_id": "32226296"}, {"ref": "aniketbhalekar/diabetic-retinopathy-detection", "kernel_id": "32057400"}, {"ref": "shahad9544/aptos-custom-cnn-take-1", "kernel_id": "33944850"}, {"ref": "quangphammessi/notebook7d48d82af1", "kernel_id": "33193274"}, {"ref": "tasneemkhaledfahmy/final", "kernel_id": "33407769"}, {"ref": "vinhphamngocquang/notebook7d48d82af1", "kernel_id": "33140688"}, {"ref": "abdallahwagih/effecientnetb5-blindness-detection-84-7", "kernel_id": "33207342"}, {"ref": "ikbalkrdl/g-z-datas-ile-te-his", "kernel_id": "33303331"}, {"ref": "harikeshpratapsingh7/aptos-eda", "kernel_id": "33920963"}, {"ref": "olafarid/notebookd1caad10c3", "kernel_id": "33216010"}, {"ref": "olafarid/notebook80b43248d9", "kernel_id": "33059307"}, {"ref": "adwaithj/tensorflow-gpu-2blindness-detection", "kernel_id": "33773071"}, {"ref": "hillaryhtet/diabetics-retinal-detection-cnn-and-mobilenet-v2", "kernel_id": "34763687"}, {"ref": "kaustubhratna/binary-aptos", "kernel_id": "34814013"}, {"ref": "kaustubhratna/binary-aptos-resnet", "kernel_id": "34827482"}, {"ref": "harikeshpratapsingh7/aptos-postprocessing", "kernel_id": "34171841"}, {"ref": "harikeshpratapsingh7/aptos-models", "kernel_id": "34035037"}, {"ref": "olafarid/notebook0cdd72781f", "kernel_id": "34021740"}, {"ref": "vishaiqbal/dr-grade-classification-by-fine-tuning-vit", "kernel_id": "34548809"}, {"ref": "parulmudaliar018/diabetic-retinopathy-detection", "kernel_id": "34566538"}, {"ref": "lalumutawalli/resnet-rtdbts", "kernel_id": "35629925"}, {"ref": "natdhanaijob/65076018", "kernel_id": "35599748"}, {"ref": "abeerelmorshedy/blindness-detection", "kernel_id": "35682921"}, {"ref": "busrakuzu/diyabatik", "kernel_id": "35292255"}, {"ref": "firaszaier/efficientnetb5-trained-on-aptos19-eyepacs", "kernel_id": "35679070"}, {"ref": "firaszaier/inception-v3-trained-on-aptos19-eyepacs15", "kernel_id": "35740893"}, {"ref": "firaszaier/resnet50-trained-on-aptos19-eyepacs15-messidor-2", "kernel_id": "35777249"}, {"ref": "firaszaier/densenet121-trained-on-aptos19-eyepacs15", "kernel_id": "35513860"}, {"ref": "khalidsakr/efficientnetb3-multilabel-model-3", "kernel_id": "35380414"}, {"ref": "eng19cs0116/efficientnetb3-multilabel-model-3", "kernel_id": "35902273"}, {"ref": "eng19cs0116/notebook796c3af797", "kernel_id": "35694591"}, {"ref": "aar122/dr-detection-capstone", "kernel_id": "35681596"}, {"ref": "daviedai/aptos-2019-blindness-detection", "kernel_id": "35925254"}, {"ref": "kanitthong/notebook95a94a858f", "kernel_id": "35667640"}, {"ref": "tawanyaisawang/notebook805e2eeeba", "kernel_id": "35665350"}, {"ref": "padmanabhan1139/diabetic-retinopathy-nasnetlarge", "kernel_id": "36881270"}, {"ref": "firaszaier/efficientnetv2b0", "kernel_id": "36435219"}, {"ref": "dungtuan/tienxuly", "kernel_id": "36781389"}, {"ref": "vijayananth123/with-v3-gradcam", "kernel_id": "36891630"}, {"ref": "thngnht/mat-model-handmade", "kernel_id": "36936535"}, {"ref": "ruthranb/diabetic-retinopathy-aptos-dataset", "kernel_id": "36037020"}, {"ref": "nithiyashreemg/dr-effnet-fyp", "kernel_id": "37867861"}, {"ref": "nithiyashreemg/dr-resnet50", "kernel_id": "37943748"}, {"ref": "mahmoudnoor/diabetic-retinopathy-final", "kernel_id": "37592685"}, {"ref": "laalasakrishna/dv-project", "kernel_id": "37198943"}, {"ref": "dungtuan/final-version-2", "kernel_id": "37479761"}, {"ref": "asiyadurani/cnn-model-with-grad-cam", "kernel_id": "37487848"}, {"ref": "frasieranthony/diabetic-retinopathy-detection-using-pytorch", "kernel_id": "37909477"}, {"ref": "risha52/eda-of-aptos-2019", "kernel_id": "37267345"}, {"ref": "thngnht/model-densenet121", "kernel_id": "37002495"}, {"ref": "thngnht/final-version-2-ca954f", "kernel_id": "37823231"}, {"ref": "johnmarkowsky/retinoguard-v1", "kernel_id": "37848605"}, {"ref": "romazbj/aptos2019-image-super-resolution", "kernel_id": "37546711"}, {"ref": "malehanaaz/notebook4d4c68e07c", "kernel_id": "37231851"}, {"ref": "osamam0/diabetic-retinopathy", "kernel_id": "37737723"}, {"ref": "ramaalsheikh/diabetic-retinopathy-detection", "kernel_id": "37140300"}, {"ref": "soharamd/ss666", "kernel_id": "37897906"}, {"ref": "soharamd/minnnnnnnnnnnn2", "kernel_id": "37197208"}, {"ref": "soharamd/balanced-v2b3-1", "kernel_id": "37403411"}, {"ref": "jithendharreddy123/aptos-eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "37578561"}, {"ref": "arnassuyee/b7test1", "kernel_id": "37111907"}, {"ref": "arnassuyee/b7test3", "kernel_id": "37201017"}, {"ref": "tanusrinimmadala/fork-of-notebookd9739b54b1", "kernel_id": "37125938"}, {"ref": "tanusrinimmadala/detection-of-diabetic-retinopathy-using-dnesnet", "kernel_id": "37120628"}, {"ref": "suyeearnas/testfinal", "kernel_id": "37625992"}, {"ref": "kashyapsreeramagiri/pranathi-drd-eda", "kernel_id": "38809946"}, {"ref": "arunaakula/blindness-detection-with-color-gradients", "kernel_id": "38480945"}, {"ref": "nithiyashreemg/dr-efficientnet", "kernel_id": "38407803"}, {"ref": "nithiyashreemg/dr-vgg16", "kernel_id": "38408282"}, {"ref": "nithiyashreemg/dr-inception-resnet-v2", "kernel_id": "38408332"}, {"ref": "nithiyashreemg/dr-effnet", "kernel_id": "38117896"}, {"ref": "nithiyashreemg/dr-cnn", "kernel_id": "38137474"}, {"ref": "mohamedtiouti/transfer-learning-diabetic-retinopathyc-detection", "kernel_id": "38056577"}, {"ref": "nourelhoudabenazzoug/resnet-50", "kernel_id": "38066214"}, {"ref": "marollasedkey/aptos-final-project", "kernel_id": "38527204"}, {"ref": "marollasedkey/notebook1b7a33d11d", "kernel_id": "38851721"}, {"ref": "maiiihassanfarag/graduation1", "kernel_id": "38478564"}, {"ref": "maiiihassanfarag/fork-of-graduation1", "kernel_id": "38966863"}, {"ref": "arnassuyee/epoch-15-5", "kernel_id": "38009863"}, {"ref": "suyeearnas/notebook3e8e8313d5", "kernel_id": "38059105"}, {"ref": "sominq/mintest1", "kernel_id": "38007231"}, {"ref": "chaimaahmedgaid/eyepacs-aptos-ddr", "kernel_id": "39230970"}, {"ref": "akashrayhan/knowledge-distillation-approach", "kernel_id": "39591535"}, {"ref": "mostafatarek00/eyeeye", "kernel_id": "39345103"}, {"ref": "vikranthmadala/dr-detection", "kernel_id": "39188708"}, {"ref": "adrianglez/tfm-diabeticretinopathy", "kernel_id": "39011773"}, {"ref": "vishaiqbal/brain-tumor-detection-using-cnn-vit", "kernel_id": "39696372"}, {"ref": "nadinejackson1/blindness-detection", "kernel_id": "39469958"}, {"ref": "vduytn/retinopathy-detection", "kernel_id": "39146541"}, {"ref": "lijiaoyang1/2023-5-29", "kernel_id": "39267079"}, {"ref": "hadbaahashem/notebookef12ebeb05", "kernel_id": "39831851"}, {"ref": "pratyushraj07/train", "kernel_id": "40415571"}, {"ref": "pratyushraj07/process", "kernel_id": "40414599"}, {"ref": "simrahikram/diabetic-retinopathy-detection-efficientnetb5", "kernel_id": "40555137"}, {"ref": "simrahikram/diabetic-retinopathy-detection-shap", "kernel_id": "40491546"}, {"ref": "simrahikram/diabetic-retinopathy-detection-resnet50", "kernel_id": "40486988"}, {"ref": "simrahikram/diabetic-retinopathy-detection-using-deep-learning", "kernel_id": "40406174"}, {"ref": "snekhas/classification-of-diabetic-retinopathy", "kernel_id": "41732513"}, {"ref": "johnmarkowsky/aptos-vgg19-inception-xception-tta", "kernel_id": "41485167"}, {"ref": "tuanphong27/retinopathy-detection-2487c6", "kernel_id": "41537251"}, {"ref": "datlee11/retinopathy-detection-2487c6", "kernel_id": "41519595"}, {"ref": "davidbailonbustos/diabetic-retinopathy-classifier-v1", "kernel_id": "41508333"}, {"ref": "davidbailonbustos/image-processing", "kernel_id": "41578551"}, {"ref": "vasanth03/image-classification-aptos-final", "kernel_id": "42416182"}, {"ref": "umangtri/dr-multiclass-classification-aptos", "kernel_id": "42290537"}, {"ref": "krishnajunl/notebook543bdeb2a3", "kernel_id": "42499437"}, {"ref": "vishaiqbal/dr-grade-classification-using-vit-pytorch", "kernel_id": "42976670"}, {"ref": "vishaiqbal/dr-grade-classification-with-cct-grad-cam", "kernel_id": "42974879"}, {"ref": "iamarun5602/resnet-aptos", "kernel_id": "42919672"}, {"ref": "vishaiqbal/fork-of-dr-grade-classification-by-fine-tuning-vit", "kernel_id": "43286824"}, {"ref": "wendwossendufera/diabetic-retinopathy", "kernel_id": "43445071"}, {"ref": "tylerpoore/diabetic-retinopathy-shap-model-explainability", "kernel_id": "44929075"}, {"ref": "rishika05/notebook4ab8e17065", "kernel_id": "44647630"}, {"ref": "rishika05/notebook018b51ad23", "kernel_id": "44593250"}, {"ref": "faizankhan77/unet-e-d-detection-of-retinography", "kernel_id": "44549291"}, {"ref": "iamarun5602/copynas", "kernel_id": "44216719"}, {"ref": "seyitaliyorun/diabetic-retinopathy-research-and-detection", "kernel_id": "44121060"}, {"ref": "aayushgala15/diabetic-retinopathy-mobilenetv2-svm", "kernel_id": "44767855"}, {"ref": "wendwossendufera/distinguish-btn-skin-lesion-retina-and-other", "kernel_id": "44668583"}, {"ref": "chehaljayasuriya/image-project-omicron", "kernel_id": "44718403"}, {"ref": "kitsanakhokthomchai/aptos-keras-baseline-tta", "kernel_id": "45777303"}, {"ref": "kitsanakhokthomchai/inception-resnet-v2", "kernel_id": "45725052"}, {"ref": "kitsanakhokthomchai/aptos-pytorch-starter-rnet50", "kernel_id": "45713920"}, {"ref": "raviiloveyou/seblock-mastery-diabetic-vision", "kernel_id": "45969980"}, {"ref": "sasiniwanigathunga/final-1", "kernel_id": "45195312"}, {"ref": "aadivikram/ensemble-byvote", "kernel_id": "45651230"}, {"ref": "abdullahmtk/task-1", "kernel_id": "45773698"}, {"ref": "ak02kr/diabetic-retinopathy-research-and-detection", "kernel_id": "45398058"}, {"ref": "iamarun5602/efficient", "kernel_id": "45103783"}, {"ref": "thansaponkeumrum/myf-diabetic-retinopathy-detection-efficientnetb5", "kernel_id": "45773098"}, {"ref": "udaniadikari/new-ml", "kernel_id": "45402691"}, {"ref": "udaniadikari/improvedben-train", "kernel_id": "45103180"}, {"ref": "hnisalbim/initial-resnet50-code", "kernel_id": "45402502"}, {"ref": "hnisalbim/ml-project-1", "kernel_id": "45585681"}, {"ref": "anirudhkandwal/keras-densenet-aptos-c279e7", "kernel_id": "45600068"}, {"ref": "mohidalikhanpathan/notebook633cdaa4ca", "kernel_id": "46790605"}, {"ref": "adityabajaj03/diabetic-retinopathy-detection-using-pytorch", "kernel_id": "46502923"}, {"ref": "adityabajaj03/keras-densenet-aptos", "kernel_id": "46500658"}, {"ref": "hnisalbim/the-final", "kernel_id": "46613761"}, {"ref": "andreivann/gans-224-pathological-myopia-perception-loss", "kernel_id": "46666841"}, {"ref": "sathwikkuppam/mini-project", "kernel_id": "47038848"}, {"ref": "ayushnauriyal/notebookcd67a04098", "kernel_id": "47895835"}, {"ref": "aryansharma5669/notebookcd67a04098", "kernel_id": "47912600"}, {"ref": "arnassuyee/epoch-4-4", "kernel_id": "47920260"}, {"ref": "arnassuyee/epoch-12-4", "kernel_id": "47948113"}, {"ref": "tomcong/eyes-plus20216459", "kernel_id": "47622269"}, {"ref": "naufalhawarinor/diareti", "kernel_id": "47088230"}, {"ref": "nathanaelpardamean/eda-1", "kernel_id": "47282908"}, {"ref": "nathanaelpardamean/prepro-2", "kernel_id": "47284938"}, {"ref": "nathanaelpardamean/resnet50-3", "kernel_id": "47435155"}, {"ref": "primboonpherm/plim16paddddd", "kernel_id": "47838443"}, {"ref": "khushishah28k/blindness-detection-1", "kernel_id": "48722163"}, {"ref": "arnassuyee/longdata", "kernel_id": "48582715"}, {"ref": "arnassuyee/new-12-4", "kernel_id": "48310121"}, {"ref": "arnassuyee/new-20-4", "kernel_id": "48318899"}, {"ref": "arnassuyee/new-epoch-4-4", "kernel_id": "48058971"}, {"ref": "andreivann17/inferencia-modelo-andre-4-clases", "kernel_id": "48113672"}, {"ref": "primboonpherm/prim24", "kernel_id": "48073316"}, {"ref": "primboonpherm/prim16", "kernel_id": "48016085"}, {"ref": "santhosh13kumar13/capstone-20bce1184", "kernel_id": "49872980"}, {"ref": "soharamd/eyes3", "kernel_id": "49442213"}, {"ref": "necatialperen/necati-alperen-isik", "kernel_id": "49068168"}, {"ref": "paraskhilosiya/image-preprocessing", "kernel_id": "50020335"}, {"ref": "samarfarhani/diabetic-retinopathy", "kernel_id": "50663693"}, {"ref": "ivinjoelabraham/research-paper-implementation-f8f900", "kernel_id": "50353604"}, {"ref": "satvshr/ensemble-resnet-101-efficientnet-and-inceptionv3", "kernel_id": "50224926"}, {"ref": "imdadulhaquesourav/diabetic-retinopathy-shap-model-explainability", "kernel_id": "50641378"}, {"ref": "sathwikramisetty/final-project-dr-detection", "kernel_id": "51686186"}, {"ref": "srideepthivalavala/blindness", "kernel_id": "51687919"}, {"ref": "div247/batch-7", "kernel_id": "51639105"}, {"ref": "esherlysusan/minor-2-batch-7", "kernel_id": "51773792"}, {"ref": "dursunipek/notebookf26afe769a", "kernel_id": "52987625"}, {"ref": "paraskhilosiya/ensembledmodel", "kernel_id": "52517732"}, {"ref": "samkit5/final-project-dr-detection-existing-models", "kernel_id": "52296454"}, {"ref": "sohansingh01/densenet-keras-starter", "kernel_id": "52275230"}, {"ref": "gouravkesharwani/notebook292efbe043", "kernel_id": "53300359"}, {"ref": "suhas1901/diabetic-retinopathy-severity-classifier", "kernel_id": "53594590"}, {"ref": "suhas1901/diabetic-retinopathy-classifier", "kernel_id": "53773081"}, {"ref": "basobpaulbrinta/diabetic-retinopathy-classification", "kernel_id": "53118120"}, {"ref": "gouravkesharwani2001/dense-mobile", "kernel_id": "53375987"}, {"ref": "ivanxu/aptos2019-t1-para", "kernel_id": "54074056"}, {"ref": "jashgopani/projectf3-group36", "kernel_id": "54240745"}, {"ref": "tranminh05/d1-project", "kernel_id": "54800978"}, {"ref": "vatsalpalan99/proj-f3", "kernel_id": "54240558"}, {"ref": "vatsalpalan99/notebook30bd52db9f", "kernel_id": "54239467"}, {"ref": "xenziyor/eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "54690521"}, {"ref": "simonma95/aptos19-densenet-trained-with-old-and-new-data", "kernel_id": "55211296"}, {"ref": "gautomagarwal/aptos-2019-without-preprocessing", "kernel_id": "55885257"}, {"ref": "phongnt0608/fold1", "kernel_id": "55896711"}, {"ref": "iamarun5602/notebook0e10445b91", "kernel_id": "55434915"}, {"ref": "babbar28/research-paper-implementation-e63afc", "kernel_id": "55282891"}, {"ref": "arjungsanal/efficent-net-using-aptos", "kernel_id": "55082948"}, {"ref": "minhtran1234/dr-project", "kernel_id": "55889856"}, {"ref": "hossamfarrag21/diabetic-retinopathy-classification-model-final", "kernel_id": "55088011"}, {"ref": "vafelkaoverhere/notebookc96d0268a9", "kernel_id": "56763795"}, {"ref": "minhtran221/dr-project", "kernel_id": "56111268"}, {"ref": "faizankhan77/vit-detection-of-retinography", "kernel_id": "57153028"}, {"ref": "yassernamez/segmentation-models", "kernel_id": "57233888"}, {"ref": "babbar28/research-paper-implementation-2", "kernel_id": "57228736"}, {"ref": "scholess/notebook1aea8456b4", "kernel_id": "57239040"}, {"ref": "tarekalkhoreby/dr-ai-preprocessing", "kernel_id": "57111541"}, {"ref": "tarekalkhoreby/dr-ai-model", "kernel_id": "57367809"}, {"ref": "tranminh05/project-main", "kernel_id": "58858872"}, {"ref": "josemauriciodelgado/proliferative-retinopathy", "kernel_id": "58200405"}, {"ref": "minhtran1234/project-main", "kernel_id": "58824226"}, {"ref": "derektai/ai-final-project-team-33-stage-2", "kernel_id": "59455630"}, {"ref": "derektai/ai-final-project-stage-1", "kernel_id": "59428362"}, {"ref": "azizahn/aptos-inception-v4-clahe-grayscale", "kernel_id": "59716531"}, {"ref": "yakubuumarsanda/diabetic-retinopathy-thesis", "kernel_id": "59143102"}, {"ref": "azizahnmain/aptos-inception-v4-clahe-grayscale-param-clah", "kernel_id": "60706949"}, {"ref": "huangchien/vgg19-visualization-survey", "kernel_id": "61005507"}, {"ref": "smabdulahad/aptos-submission-ensamble", "kernel_id": "61304197"}, {"ref": "zaafirulhasan/assignment-3-ai4med", "kernel_id": "61064822"}, {"ref": "muhammadasifwazir/competetion-blindness-detection", "kernel_id": "62578193"}, {"ref": "nguyenquangthinhus/notebook3bf5a1abc4", "kernel_id": "62679227"}, {"ref": "danlesnar/efficientnetb5-with-keras", "kernel_id": "63360441"}, {"ref": "andreivann17/vit-multilabel", "kernel_id": "63569056"}, {"ref": "tanishq165/notebook76b883e2d9", "kernel_id": "63125371"}, {"ref": "bappine/aptos-resnet50-baseline-learning", "kernel_id": "63168130"}, {"ref": "adeebnawaz90/intro-aptos-diabetic-retinopathy-eda-starter", "kernel_id": "64961133"}, {"ref": "tanishq165/diabetic-retinopathy", "kernel_id": "64142542"}, {"ref": "rubyspeedy/dr-multiclass", "kernel_id": "64562755"}, {"ref": "rubyspeedy/dr-binary", "kernel_id": "64071146"}, {"ref": "phu8301/quynhtea", "kernel_id": "65636902"}, {"ref": "skylover/blindness", "kernel_id": "65886892"}, {"ref": "johandematan/blindness-detection", "kernel_id": "65187071"}, {"ref": "srisairamgautamb/team-10", "kernel_id": "65401493"}, {"ref": "hritdas/retinopathy-detection", "kernel_id": "65733332"}, {"ref": "shashidhartatavarthy/aptos-blindness-detection-eda-and-keras-resnet50", "kernel_id": "65805705"}, {"ref": "quynhtea/quynhtea", "kernel_id": "65357757"}, {"ref": "mothanajasem/data-2-b7", "kernel_id": "66600486"}, {"ref": "saffanahelminafisah/deteksi-penyakit", "kernel_id": "66268379"}, {"ref": "srisairamgautamb/cnn-2", "kernel_id": "66976463"}, {"ref": "janeniej/5mib-knowledge-distillation-densenet-201-on-aptos", "kernel_id": "66977935"}, {"ref": "anettvarghese/blindness-svm", "kernel_id": "66821535"}, {"ref": "sahankatpally/keras-densenet-aptos", "kernel_id": "67194004"}, {"ref": "arjthehacker/vit-detection-of-retinography", "kernel_id": "67941678"}, {"ref": "walker53108/aptos-2210", "kernel_id": "68496381"}, {"ref": "shouryatyagi/diabetic-retinopathy-resnet", "kernel_id": "68372196"}, {"ref": "neetuaashi/cmi-classification-20-0-24", "kernel_id": "68147403"}, {"ref": "sunilkumaradapa/multi-class-dr-efficient-b0-ml-efficient", "kernel_id": "68372386"}, {"ref": "aryananand18/diabetic-retinopathy-vit", "kernel_id": "68866454"}, {"ref": "drnusratsharmin/diabetic-retinopathy-shap-model-explainability", "kernel_id": "69773488"}, {"ref": "naifasiri/dens-aptos-2019", "kernel_id": "69412715"}, {"ref": "sarvinozanvarova/diabetic-retinopathy-detection", "kernel_id": "69756009"}, {"ref": "walker53108/5-fold-efficientnetb5-aptos1811", "kernel_id": "70983794"}, {"ref": "khyathikotipalli/diabetic-retinopathy", "kernel_id": "70284254"}, {"ref": "srisairamgautamb/anan-1", "kernel_id": "70424182"}, {"ref": "anettvarghese/blindness-anan", "kernel_id": "70419846"}, {"ref": "anettvarghese/blindness-mainmodel", "kernel_id": "70950466"}, {"ref": "harshithreddykasarla/poly-harshith-a8-q2", "kernel_id": "70965695"}, {"ref": "polymaharshipandya/homework-8-part-2", "kernel_id": "70916960"}, {"ref": "polymaharshipandya/hw-8-part-1-question-1", "kernel_id": "70984653"}, {"ref": "pritepak/blindness-detection-diabetic", "kernel_id": "71180186"}, {"ref": "vaibhav119/dr-multiclass-1fa1f3", "kernel_id": "71271129"}, {"ref": "srisairamgautamb/blindness-realtime", "kernel_id": "71622825"}, {"ref": "zyh1104/017-aptos-2019-blindness-detection", "kernel_id": "71443717"}, {"ref": "codeshelly/dr-multiclass", "kernel_id": "71660764"}, {"ref": "siddharthk7704/blindness-svm", "kernel_id": "71268109"}, {"ref": "anettvarghese/blindness-realtime", "kernel_id": "71212452"}, {"ref": "youssefhassan1234/aptos-diabteic-detection-merged", "kernel_id": "72862239"}, {"ref": "youssefhassan1234/diabetic-retinopathy-detection-deit", "kernel_id": "72979066"}, {"ref": "youssefhassan1234/fastvit-model", "kernel_id": "72546087"}, {"ref": "youssefhassan1234/swinv2-small-window16-256", "kernel_id": "72555803"}, {"ref": "youssefhassan1234/pit-with-aptos-data", "kernel_id": "72468421"}, {"ref": "ahmednoorim/aptos-resnet50-dr-multi-clahe", "kernel_id": "72985387"}, {"ref": "jiangnan0501/aaaaa", "kernel_id": "72658631"}, {"ref": "randahamada90/transformers-models", "kernel_id": "72467623"}, {"ref": "mayxxxx/diabetic-retinopathy-detection-transformers", "kernel_id": "72520879"}, {"ref": "bellamaa/final-project", "kernel_id": "72090308"}, {"ref": "randaelnagar/diabetic-retinopathy-using-swin", "kernel_id": "72914163"}, {"ref": "randaelnagar/notebook5f6b10bf73", "kernel_id": "72971652"}, {"ref": "ahmednoorim/aptos19-densenet-trained-with-old-and-new-data", "kernel_id": "73818115"}, {"ref": "ahmednoorim/99-f1-shrunken-vit-model", "kernel_id": "73819097"}, {"ref": "rajveer37/aptos-ensemble", "kernel_id": "73334728"}, {"ref": "pranithganne/aptos-dataset", "kernel_id": "74681111"}, {"ref": "bioshnue/notebook269d4274cd", "kernel_id": "74666945"}, {"ref": "bioshnue/densenet169aa", "kernel_id": "74765556"}, {"ref": "duttrnvn/duane-blindness-detection", "kernel_id": "75064881"}, {"ref": "duttrnvn/duane-aptos2019-5c46ed", "kernel_id": "75033911"}, {"ref": "karrajayanth/major-project-3", "kernel_id": "75988740"}, {"ref": "godwink14/daibetic-retinopathy", "kernel_id": "75197952"}, {"ref": "prodbymtan/aptos-2019-densenet-keras-starter", "kernel_id": "75375247"}, {"ref": "emircanahan/diyabetik-retinopati-te-hisi", "kernel_id": "75865439"}, {"ref": "sachinkumar1007/notebook89dbe7f558", "kernel_id": "75468673"}, {"ref": "bioshnue/duane-aptos2019-5c46ed", "kernel_id": "75011978"}, {"ref": "bioshnue/duane-aptos19071591", "kernel_id": "75033939"}, {"ref": "karrajayanth/third", "kernel_id": "76085731"}, {"ref": "karrajayanth/fourth", "kernel_id": "76147661"}, {"ref": "ayangokul/aptos-blindness-detection-eda-and-keras-resnet50", "kernel_id": "76094529"}, {"ref": "vishalbangaru/mydcgan2", "kernel_id": "76296236"}, {"ref": "vishalbangaru/my-keras-densenet-aptos", "kernel_id": "76725958"}, {"ref": "shyamsundergouda/diabetic-retinopathy-using-swin-kd", "kernel_id": "76909006"}, {"ref": "randahamada90/deit-mobilenet-lamb", "kernel_id": "76310943"}, {"ref": "pranayanandbabuobla/blindness-detection-80-20-split", "kernel_id": "76690942"}, {"ref": "pranayanandbabuobla/blindness-inceptionresnet", "kernel_id": "76082000"}, {"ref": "malindaratnaduhita/convnext-v2-skenario", "kernel_id": "77772834"}, {"ref": "dakshm/qcnn-dr", "kernel_id": "77880969"}, {"ref": "mdafaaldian/aptos-skripsi", "kernel_id": "77384740"}, {"ref": "gq2023/notebooka2342c41a4", "kernel_id": "77709854"}, {"ref": "salmaashraf12/diabetic-retinopathy-using-opencv-and-vit", "kernel_id": "77339354"}, {"ref": "salmaashraf12/blindness-detection", "kernel_id": "77532342"}, {"ref": "vermashaurya/blindness-metrics-v2", "kernel_id": "77789682"}, {"ref": "vermashaurya/4-march-ver", "kernel_id": "77796510"}, {"ref": "sriram61604/project", "kernel_id": "77083731"}, {"ref": "minaremon39/blindness-detection-using-keras-tensorflow", "kernel_id": "77483819"}, {"ref": "ajiteshsingh8673/dr-resnet-final", "kernel_id": "77664463"}, {"ref": "ahmed3991/evaluation-of-saved-model-efficientnetmodel-resnet", "kernel_id": "78649209"}, {"ref": "ahmed3991/evaluation-of-saved-model", "kernel_id": "78258265"}, {"ref": "arfaahmed/arfa-segmentation-models-copy-unet", "kernel_id": "78870275"}, {"ref": "shabanyakishore/aptos-resnet50-baseline-try", "kernel_id": "78281455"}, {"ref": "abdelbadieabid/evaluation-of-saved-model-efficientnetmodel-resnet", "kernel_id": "78260819"}, {"ref": "abdelbadieabid/evaluation-of-saved-model-efficientnetmodel-998609", "kernel_id": "78716907"}, {"ref": "dwarkesh26/dr-research-version-2-0", "kernel_id": "78220493"}, {"ref": "vishalbangaru/my-vgg16", "kernel_id": "78666279"}, {"ref": "aqeelmemon1436/unet-multiclass-segmentation", "kernel_id": "78354553"}, {"ref": "randahamada90/pit-lamb", "kernel_id": "78567063"}, {"ref": "randahamada90/pit-adam-optimizer", "kernel_id": "78568816"}, {"ref": "randahamada90/pit-adam", "kernel_id": "78563583"}, {"ref": "mennamehelib/aptos-2019-densenet-keras-starter", "kernel_id": "78119256"}, {"ref": "lalithsrinivasvelaga/lalith", "kernel_id": "78382348"}, {"ref": "fylxont/complete-notebook", "kernel_id": "78745058"}, {"ref": "huangyanjing/aptos", "kernel_id": "78744747"}, {"ref": "ahmed3991/evaluation-of-saved-model-efficientnetmodel-998609", "kernel_id": "79121620"}, {"ref": "arkanadli/tugas-akhir", "kernel_id": "79026720"}, {"ref": "arfaahmed/ma-detection-03", "kernel_id": "79328118"}, {"ref": "durga15/blind-detection-mobilenet-model", "kernel_id": "79419099"}, {"ref": "durga15/blind-detection-vgg19-model", "kernel_id": "79382217"}, {"ref": "durga15/blindness-detection-training-model", "kernel_id": "79169164"}, {"ref": "vishalbangaru/myresnet50", "kernel_id": "79439114"}, {"ref": "anikabushrah5242/blindness-detection", "kernel_id": "79931232"}, {"ref": "vamsivarshith/kaggle-major", "kernel_id": "79773566"}, {"ref": "hhshatna/demofirst", "kernel_id": "79129579"}, {"ref": "abdelbadieabid/multi-class-eval", "kernel_id": "80574118"}, {"ref": "amanp143/diabetic-retinopathy-detection", "kernel_id": "80199923"}, {"ref": "vaisaavi/efficient-dr", "kernel_id": "80381375"}, {"ref": "vaisaavii/dr-densenet", "kernel_id": "80308222"}, {"ref": "devanshgoyal004/aptos19-resnet-trained-with-old-and-new-data", "kernel_id": "80380592"}, {"ref": "appajisreedharma/efficientnetb5-trained-on-aptos19-eyepacs-d0bd14", "kernel_id": "80244554"}, {"ref": "appajisreedharma/notebook7ab0186dda", "kernel_id": "80244957"}, {"ref": "chirag108200/dr-prediction", "kernel_id": "80997770"}, {"ref": "chirag108200/dabietic-retinopathy-prediction", "kernel_id": "80701694"}, {"ref": "chirag108200/notebook1e12482f8c", "kernel_id": "80601316"}, {"ref": "hiroshima67/dr-efficientnetb5-aptos-2019", "kernel_id": "80656390"}, {"ref": "abdelbadieabid/evaluation-thetowmodels-aptos", "kernel_id": "81291403"}, {"ref": "vermashaurya/efficientnet", "kernel_id": "81175650"}, {"ref": "vaisaavii/dr-efficient", "kernel_id": "81113541"}, {"ref": "vaisaavii/aptos-2019-densenet-keras-starter", "kernel_id": "81980587"}, {"ref": "umerqazi3344/diabetic-retinopathy-ddrdataset-version-orignal", "kernel_id": "81537113"}, {"ref": "shafi4/updated", "kernel_id": "81929105"}, {"ref": "shafi4/newly-changed-in-a-code", "kernel_id": "81076131"}, {"ref": "yashankush/final-project", "kernel_id": "81059599"}, {"ref": "randahamada90/deit-with-mobilenetv2-using-adam-optimizer", "kernel_id": "81521893"}, {"ref": "randahamada90/pit-base-224-with-mobilenet-v2-using-lamb-optimize", "kernel_id": "81580474"}, {"ref": "anikabushrah5242/notebook6e5134a196", "kernel_id": "81003909"}, {"ref": "mayxxxx/deit-with-mobilenetv2-using-adam-optimizer", "kernel_id": "81592265"}, {"ref": "francoismukama/retinopathy-detection", "kernel_id": "81415099"}, {"ref": "mukamafrancois/retinopathy-baseline-smalldataset", "kernel_id": "81256568"}, {"ref": "polyfazz/diabeticretinopathy", "kernel_id": "81270078"}, {"ref": "hhyyyh/alexnet", "kernel_id": "81586561"}, {"ref": "yassminahmedd/ourbiomedicalproject", "kernel_id": "81927892"}, {"ref": "shafi111/working", "kernel_id": "81730334"}, {"ref": "shafi111/fork-of-dr-gans", "kernel_id": "81541007"}, {"ref": "shafi111/fork-of-feature-based", "kernel_id": "81850998"}, {"ref": "josephjesuraja/aptos-2019-v1", "kernel_id": "82315305"}, {"ref": "ghost9879/eda-analysis-aptos-2019", "kernel_id": "82092110"}, {"ref": "aadijoshi19/diabetic-retinopathy-final", "kernel_id": "82909990"}, {"ref": "yassminahmedd/mymds-project", "kernel_id": "82076029"}, {"ref": "zeyneppolat/diabeticretinopathydetectionv2", "kernel_id": "83810373"}, {"ref": "malekbennabi/visualisation-dataset", "kernel_id": "83237084"}, {"ref": "tubaclc/blindness-detection-using-keras-tensorflow", "kernel_id": "83598686"}, {"ref": "aadijoshi19/diabetic-retinopathy-conference-draft", "kernel_id": "83716399"}, {"ref": "mohanmahi6720/diabetic-final", "kernel_id": "84697804"}, {"ref": "mohanmahi6720/diabeticretinopathydetectionv2", "kernel_id": "84822575"}, {"ref": "mohanmahi6720/diabetic-2-hr", "kernel_id": "84824371"}, {"ref": "shoose80/retinopathy", "kernel_id": "84453110"}, {"ref": "abhishekmane19/notebook61b5b81984", "kernel_id": "84268298"}, {"ref": "chothnh/cnn-xgboost", "kernel_id": "84600118"}, {"ref": "kaytlinhuynh/xception", "kernel_id": "84415940"}, {"ref": "mohanmahi6720/github-code-balaji-updated", "kernel_id": "85767109"}, {"ref": "mohanmahi6720/mohan-aptos-diabetic-detection-97-98-accuracy", "kernel_id": "85883054"}, {"ref": "mohanmahi6720/aptos-diabetic-detection-97-98-accuracy-28-06", "kernel_id": "85415888"}, {"ref": "huynhngocvy/effnetb3-qwk", "kernel_id": "85709710"}, {"ref": "huynhngocvy/effnetb3-1519", "kernel_id": "85510023"}, {"ref": "malindard/convnextv2-4-experiment", "kernel_id": "85361804"}, {"ref": "myversion/new-vary-batchsize-nonlinear", "kernel_id": "85724515"}, {"ref": "andreivann17/inferencia-multilabel", "kernel_id": "86746175"}, {"ref": "willycahyadi25/alternatif-ta", "kernel_id": "86855848"}, {"ref": "vivekattri/keras-densenet", "kernel_id": "86092688"}, {"ref": "ishaanahuja/dr-notebook", "kernel_id": "86853385"}, {"ref": "pandeygirish/new-vit-notebook81f8bff9b9", "kernel_id": "86743376"}, {"ref": "pandeygirish/latest-vitnotebook7158ae8154", "kernel_id": "86768702"}, {"ref": "sowmyatejaswini/retino2", "kernel_id": "86243411"}, {"ref": "mohanmysore/retinopathy-28-06-25", "kernel_id": "86021348"}, {"ref": "abdulkabir/diabetic-retinopathy-detection-full-model", "kernel_id": "87174743"}, {"ref": "abdulkabir/updated-retinal-code-final-version", "kernel_id": "87079309"}, {"ref": "andreivann/vit-multilabel-032eb0", "kernel_id": "87091069"}, {"ref": "suchikaraturi/myproject", "kernel_id": "87477019"}, {"ref": "ziadmouad/keras-diabetic-retinopathy-detector-77b41f", "kernel_id": "87440783"}, {"ref": "zakiazafarzafar/keras-diabetic-retinopathy-detector", "kernel_id": "87290332"}, {"ref": "anouaradel/visionguard-ai-for-diabetic-retinopathy-detection", "kernel_id": "88064831"}, {"ref": "heshanimn/aai-assignment", "kernel_id": "88361567"}, {"ref": "lionisha/restnet50-vgg19-modals", "kernel_id": "88071692"}, {"ref": "weiluy/aptos-efficient-net", "kernel_id": "88967760"}, {"ref": "weiluy/efficientnetb6", "kernel_id": "89060145"}, {"ref": "weiluy/efficient-net-b6-baseline", "kernel_id": "89508900"}, {"ref": "weiluy/efficientnetb6-newdata", "kernel_id": "89587306"}, {"ref": "sanjeevnikumari/aptos-2019-densenet-keras-starter", "kernel_id": "89585787"}, {"ref": "kaytlinhuynh/effnetb3-qwk", "kernel_id": "89256785"}, {"ref": "wlyyyyy/fork-of-efficientnetb6-newdataset", "kernel_id": "89540123"}, {"ref": "wlyyyyy/efficientnetb4-newdataset", "kernel_id": "89528710"}, {"ref": "wlyyyyy/efficientnetb6-new", "kernel_id": "89588176"}, {"ref": "wlyyyyy/eff-b6", "kernel_id": "89217954"}, {"ref": "wlyyyyy/efficient-net-b6", "kernel_id": "89237750"}, {"ref": "abdhrubo/latest-compatible-dc", "kernel_id": "90536799"}, {"ref": "abdhrubo/aptos-2019-densenet-keras-starter", "kernel_id": "90193911"}, {"ref": "leeladhardewangan/blindnessdetection", "kernel_id": "90688589"}, {"ref": "realammar/diabeties-detection-by-eye-retina", "kernel_id": "90994869"}, {"ref": "mohammedyassinn/aptos-final", "kernel_id": "90730266"}, {"ref": "shahrinhossain173/aptos-2019-densenet-keras-starter", "kernel_id": "90404941"}, {"ref": "sameh18/aptos-blindness-detection", "kernel_id": "91434808"}, {"ref": "mahaanushuyas/aptos-2019-densenet-keras-starter", "kernel_id": "91608916"}, {"ref": "begadmohamedhamdy/efficientnet", "kernel_id": "91289462"}, {"ref": "youssefkhaled04/vessel-segmentation-u-net-b5-model", "kernel_id": "91943745"}, {"ref": "prathameshkumar112/transfer-with-densenet", "kernel_id": "92155716"}, {"ref": "sahilkachhap/thesis-codebase-resnet50", "kernel_id": "93396488"}, {"ref": "marlenejusup/diabetic-retinopathy-using-swin", "kernel_id": "93600560"}, {"ref": "javierjustin/unsharpmasking-gaussianblur", "kernel_id": "93976033"}, {"ref": "judicaelseitcha/dr-and-glaucome-detection-eda", "kernel_id": "93480913"}, {"ref": "akashb22bai1018/notebook0afdfcfad4", "kernel_id": "93987347"}, {"ref": "aadijoshi19/drt-ablation", "kernel_id": "93429324"}, {"ref": "aadijoshi19/drt-2909", "kernel_id": "93400622"}, {"ref": "ritesh2177/notebookc418c0f7e3", "kernel_id": "93901589"}, {"ref": "hamzashakil123/daibetic-retinopathy", "kernel_id": "93164380"}, {"ref": "ebraheemalrawi/diabetic-retinopathy", "kernel_id": "94406625"}, {"ref": "shulinagarwal/notebook9c6dc9b694", "kernel_id": "94018206"}, {"ref": "yashyewale19/retiopathy-efficientnet", "kernel_id": "94369004"}, {"ref": "dsjfda/diabetic-retinopathy-includes-all-models", "kernel_id": "95583222"}, {"ref": "abhirajsingh2003/efficientnetb3", "kernel_id": "95291577"}, {"ref": "abhirajsingh2003/densenet-dr-detection", "kernel_id": "95524271"}, {"ref": "akashb22bai1018/notebook9a9bdcfe2f", "kernel_id": "95682316"}, {"ref": "akashb22bai1018/convnext", "kernel_id": "95155570"}, {"ref": "akashb22bai1018/convnext-ddr", "kernel_id": "95126861"}, {"ref": "yashyewale19/finalapp-dibeticretinopathy", "kernel_id": "95584748"}, {"ref": "psathyasaiaditya/daibetic-retinopathy", "kernel_id": "96374109"}, {"ref": "mohammedyassinn/aptos-updated", "kernel_id": "96443762"}, {"ref": "praptipriyaph/notebookd7e0eaad82", "kernel_id": "97531454"}, {"ref": "aryan1078/notebook25989ffba8", "kernel_id": "97514157"}, {"ref": "zchans7/microprocessor-interfacing-project", "kernel_id": "97883424"}, {"ref": "abhirajsingh2003/vgg16-dr-detection", "kernel_id": "98156402"}, {"ref": "abhirajsingh2003/inceptionv3-dr-detection", "kernel_id": "98308721"}, {"ref": "krittapakpimjula/blind-detection-mobilenet-model", "kernel_id": "98272836"}, {"ref": "prat1kjha/resnet50-dr", "kernel_id": "98996496"}, {"ref": "sailokeshgrandhisila/privacy-implementation-1", "kernel_id": "98777043"}, {"ref": "suman1234ghosh/notebook8deb5f4c89", "kernel_id": "98019892"}, {"ref": "catrat/resnet-model-training-using-cbam", "kernel_id": "99625079"}, {"ref": "prat1kjha/notebook1c01c6c4e3", "kernel_id": "99220593"}, {"ref": "prat1kjha/inceptionv3", "kernel_id": "99115284"}, {"ref": "prat1kjha/vgg16-dr", "kernel_id": "99208696"}, {"ref": "prat1kjha/dr-efficientnetb3", "kernel_id": "99071940"}, {"ref": "narendrandev/daibetic-retinopathy", "kernel_id": "99605803"}, {"ref": "alphanso123/resnet50-baseline", "kernel_id": "99428204"}, {"ref": "alphanso123/resnet50-trained", "kernel_id": "99572452"}, {"ref": "narayan27/resnet-final-3", "kernel_id": "100443989"}, {"ref": "narayan27/densnet121-final-4", "kernel_id": "100637172"}, {"ref": "anirudhkaushik8760/diabetic-retinopathy", "kernel_id": "100146349"}, {"ref": "minhajulabedinriyadh/diabetic-retinopathy-efnetb0-rsnet50", "kernel_id": "101402103"}, {"ref": "aashirasad/daibetic-retinopathy-aeacf9", "kernel_id": "101448453"}, {"ref": "suman1234ghosh/eyes123", "kernel_id": "101458629"}, {"ref": "afafrafat/b5-tommorow", "kernel_id": "102079346"}, {"ref": "haghighatmohammad/a-hybrid-neural-network-approach-for-classifying-d", "kernel_id": "102903751"}, {"ref": "shreyasee25/hw8-n2-by-shreyasee", "kernel_id": "102840546"}, {"ref": "shreyasee25/ml-hw8-n1-by-shreya", "kernel_id": "102824137"}, {"ref": "yashyewale19/retinopathy-densenet", "kernel_id": "102715357"}, {"ref": "yashyewale19/retinopathy-resnet", "kernel_id": "102613465"}, {"ref": "ziadbass/aptos-2019-densenet-keras-starter-7a1e3f", "kernel_id": "102693632"}, {"ref": "codesnz/diabetic-retinopathy-detection", "kernel_id": "102557644"}, {"ref": "chenruiwangcherry/pytorch", "kernel_id": "102933738"}, {"ref": "boumedienebelarbi/projet-m2", "kernel_id": "102374461"}, {"ref": "ananditadhal23/dr-fractal-project-updated", "kernel_id": "103871629"}, {"ref": "leviyoder/ml2-capstone-project", "kernel_id": "103111007"}, {"ref": "kishorekumar572004/swinv2-small-window16-256", "kernel_id": "103345556"}, {"ref": "vishnubalineni/miniproject-sem", "kernel_id": "103297777"}, {"ref": "haribabumallekedi/question-1", "kernel_id": "103589307"}, {"ref": "chenruiwangcherry/data-preprocess-code", "kernel_id": "103333376"}, {"ref": "chenruiwangcherry/principle-of-ai-group-8-optimal-final-code", "kernel_id": "103478549"}, {"ref": "mmzz22/dr-retinopathy", "kernel_id": "103360270"}, {"ref": "ohmygodhaha/group-8-robustness-tests", "kernel_id": "103529093"}, {"ref": "debajitmandal06/debu-collage-project", "kernel_id": "103255147"}, {"ref": "shashankpadamati/daibetic-retinopathy", "kernel_id": "103736445"}, {"ref": "ggflex/eye-detection-model", "kernel_id": "104651216"}, {"ref": "coderak/dr-detection-model", "kernel_id": "104940151"}, {"ref": "mohammedyassinn/aptos-lastet", "kernel_id": "104666236"}, {"ref": "rashikanegi/retinopathy", "kernel_id": "104768549"}, {"ref": "haribabumallekedi/module8-homework-1-q2", "kernel_id": "104265848"}, {"ref": "ziadbassem/the-dr-model-who-lived", "kernel_id": "104862171"}, {"ref": "benarfayakdhane/hybride-2", "kernel_id": "104460698"}, {"ref": "milad98/dr-thesis-msc-base3-test7-by-mk", "kernel_id": "104550709"}, {"ref": "afshantuwaiq/robust-diabetic-retinopathy-grading-using-dual-res", "kernel_id": "104078181"}, {"ref": "erickayoumbi/project-ml", "kernel_id": "104922437"}, {"ref": "kusumagangasneha/epochs-10-model", "kernel_id": "104423150"}, {"ref": "kusumagangasneha/b0-model", "kernel_id": "104362226"}, {"ref": "kusumagangasneha/b3-model", "kernel_id": "104343087"}, {"ref": "kusumagangasneha/b2-model", "kernel_id": "104348689"}, {"ref": "kusumagangasneha/b1-model", "kernel_id": "104357182"}, {"ref": "kusumagangasneha/notebook36b0c637af", "kernel_id": "105831081"}, {"ref": "joanaowusuappiah/efficient-net-b6", "kernel_id": "106650072"}, {"ref": "abhishekj15/fundus-notebook", "kernel_id": "106139705"}, {"ref": "shreyasbharadwajhi/ann-el-final", "kernel_id": "106157066"}, {"ref": "tiwaribhaii/diabetic-retinopathy-detection-v1", "kernel_id": "106007989"}, {"ref": "tiwaribhaii/dr-detection-v2", "kernel_id": "106021101"}, {"ref": "tiwaribhaii/dr-detection-v3", "kernel_id": "106133178"}, {"ref": "vaibhavraj007/dr-detection-v2", "kernel_id": "106164633"}, {"ref": "vaibhavraj007/dr-detection-new-v1-this-is-the-one", "kernel_id": "106150804"}, {"ref": "nishat210605/diabetic-retinopathy", "kernel_id": "106856006"}, {"ref": "abhirup2005/aptos-2019", "kernel_id": "107743261"}, {"ref": "deveshgautam10/notebookeda0d4a0fc", "kernel_id": "107260692"}, {"ref": "boumedienebelarbi/simclr-v2", "kernel_id": "107768738"}, {"ref": "boumedienebelarbi/simclr", "kernel_id": "107727419"}, {"ref": "akshayaputti/diabetic-retinopathy-detection", "kernel_id": "108296242"}, {"ref": "rajdeepsahu05/dl-lab-project", "kernel_id": "108457995"}, {"ref": "andimuhammadnaufall/vit-hybrid-cnn", "kernel_id": "108516677"}, {"ref": "benarfayakdhane/charger-le-modele-hybride", "kernel_id": "108363397"}, {"ref": "abhisheksinghyfugukg/notebookf976de9e57", "kernel_id": "108332584"}, {"ref": "abhisheksinghyfugukg/final", "kernel_id": "108330904"}, {"ref": "abhisheksinghyfugukg/notebook2bb876fa46", "kernel_id": "108277597"}, {"ref": "abhisheksinghyfugukg/abhishek555", "kernel_id": "108480617"}, {"ref": "abhisheksinghyfugukg/notebookc2d2bb3325", "kernel_id": "108509857"}, {"ref": "longvu1611/modelpbl4-2", "kernel_id": "108034916"}, {"ref": "yeshwanthmathavan/notebooka85ad8e8ac", "kernel_id": "108029449"}, {"ref": "amnabadeen2022/amnabadeenaptos2019", "kernel_id": "109070556"}, {"ref": "debanjanmaji/deep-course-2", "kernel_id": "109716209"}, {"ref": "ankitabiradar29/dr-efficientnet", "kernel_id": "109630975"}, {"ref": "benarfayakdhane/federated-learning", "kernel_id": "109137473"}, {"ref": "mmzz22/cnn-26", "kernel_id": "109971738"}, {"ref": "rania2026/federated-learning-1", "kernel_id": "109792075"}, {"ref": "amnabadeen2022/notebook40f54afea0", "kernel_id": "110078374"}, {"ref": "satyansinha1/diabetic-retinopathy-detection-using-machine-learn", "kernel_id": "110746556"}, {"ref": "ankitabiradar29/dr-densenet", "kernel_id": "110329754"}, {"ref": "naykwak/notebook13fb0c92d1", "kernel_id": "110940558"}, {"ref": "laimochuy/g-ali-et-al", "kernel_id": "110893978"}, {"ref": "mmzz22/efficientnetb3", "kernel_id": "110776412"}, {"ref": "mmzz22/efficinetb4", "kernel_id": "110521813"}, {"ref": "mmzz22/densnet-121", "kernel_id": "110987574"}, {"ref": "mshahadath/mamba-based-retinal-disease-diagnosis", "kernel_id": "110256449"}, {"ref": "catrat/aptos-bindness-objective-2", "kernel_id": "111552165"}, {"ref": "ganledrrr/aptos-retinopathy-efficientnet-b0", "kernel_id": "111742854"}, {"ref": "monowarislamshishir/notebookf47bdcdcc4", "kernel_id": "111448283"}, {"ref": "smsadmansakibsayor/fuad-vai-tdk", "kernel_id": "111346384"}, {"ref": "vabdoamr/diabetic-retinopathy-classification-with-tta-ens", "kernel_id": "111324050"}, {"ref": "mohamedamineboudj/aptos-balanced", "kernel_id": "111925949"}, {"ref": "akiraaghanugroho/dr-federated-learning-cnn-with-dann", "kernel_id": "111670863"}, {"ref": "pbty1234/combine-and-preprocess-and-augment", "kernel_id": "111685193"}, {"ref": "pbty1234/resnet-v2", "kernel_id": "111872146"}, {"ref": "aboalgasim/kaggle-dr-v3-ultimate", "kernel_id": "111607816"}, {"ref": "anubhabdg/rbdras", "kernel_id": "111741129"}, {"ref": "mmzz22/diabetic-retinopathy-mobilenetv2", "kernel_id": "111776453"}, {"ref": "mmzz22/diabetic-retinopathy-mobilenetv2-137c64", "kernel_id": "111776494"}, {"ref": "mshahadath/fork-of-mamba-based-retinal-disease-diagnosis", "kernel_id": "111636352"}, {"ref": "michelle0417/fundus-diabetic-retinopathy-classification", "kernel_id": "112793225"}, {"ref": "shantanumaity/notebook90ad873497", "kernel_id": "112411888"}, {"ref": "shantanumaity/airetino-efficientb4", "kernel_id": "112517129"}, {"ref": "suryapratapsingh3/final-model", "kernel_id": "112714425"}, {"ref": "salonideshmukh8/dr-v1", "kernel_id": "112168740"}, {"ref": "anweshasingha005/notebook400aff3aa5", "kernel_id": "112193590"}, {"ref": "pbty1234/efiifentnet-cl3", "kernel_id": "112562964"}, {"ref": "pbty1234/resnet-fd-3-cl", "kernel_id": "112509840"}, {"ref": "pbty1234/efficienet-net-90-percent", "kernel_id": "112210341"}, {"ref": "miniredtrout/blindnessdetection-resnet50", "kernel_id": "112566458"}, {"ref": "abhisheksinghyfugukg/project-final-sem", "kernel_id": "112178579"}, {"ref": "abhisheksinghyfugukg/notebook0352ef79b6", "kernel_id": "112177687"}, {"ref": "giyu09/new-base-notebook", "kernel_id": "112289906"}, {"ref": "mmzz22/mobile2", "kernel_id": "112359236"}, {"ref": "abakarpoijsdw837290/fy-project", "kernel_id": "112028871"}, {"ref": "aniketdiyewarr/dr-detection-efficientnet", "kernel_id": "112116868"}, {"ref": "nitishkumarbiswalnkb/diabetic", "kernel_id": "112571801"}, {"ref": "ayanmaity13/notebook70b101cda8", "kernel_id": "112701390"}, {"ref": "dahalkgbasumatary/densnet-121", "kernel_id": "112569378"}, {"ref": "atasmsaid/5-fold-cv-hybrid-dual-head-mobilenetv3", "kernel_id": "113892088"}, {"ref": "justbhu1/prnn-a2", "kernel_id": "113681551"}, {"ref": "sriomdash/retinopathy-detection-anp", "kernel_id": "113256726"}, {"ref": "alihsakour/eye-class", "kernel_id": "113825013"}, {"ref": "madhuvanthi2329/notebookf069908d8b", "kernel_id": "113108107"}, {"ref": "shruz880/notebook5133d30c2e", "kernel_id": "113883359"}, {"ref": "ayanmaity13/resnet-final", "kernel_id": "113096937"}, {"ref": "syedashanefatima/notebookffa78039b1", "kernel_id": "113638534"}, {"ref": "zeynepnurata/mobilenetv3-kan-5-fold-cv", "kernel_id": "113942466"}, {"ref": "ducbui257/cuoiki", "kernel_id": "114382335"}, {"ref": "gokulakkrishna/dl-proj-final", "kernel_id": "114997481"}, {"ref": "mohamedamineboudj/2-new-amca-vit", "kernel_id": "114597845"}, {"ref": "mohamedamineboudj/006-amca-vgg19-aptos-2019", "kernel_id": "114709670"}, {"ref": "mohamedamineboudj/004-new-amca-vgg16-aptos2019", "kernel_id": "114708452"}, {"ref": "pvrkaushik/efficientnetb5", "kernel_id": "114895834"}, {"ref": "hibatrabelssi/retina", "kernel_id": "114398201"}, {"ref": "longvu1611/model-new", "kernel_id": "114838667"}, {"ref": "amitsolanki2/dr-densenet121", "kernel_id": "114182657"}, {"ref": "shivachandan123/coatnet", "kernel_id": "114897681"}, {"ref": "imanshu/blindness-detection", "kernel_id": "115394215"}, {"ref": "kaushikphaniharam/enb5-op1", "kernel_id": "115140806"}, {"ref": "ketaki818/diabeticretinopathy-cnn", "kernel_id": "115771286"}, {"ref": "ketaki818/dr-cnn-new", "kernel_id": "115923736"}, {"ref": "omarahmed014/msma-testing", "kernel_id": "115315149"}, {"ref": "misbakarim/final-implementation", "kernel_id": "115112846"}, {"ref": "shivachandan123/maxvit-1st", "kernel_id": "115921717"}, {"ref": "faysalzegumouni/bench1-aptos-vit", "kernel_id": "116124249"}, {"ref": "abderrahmanegamga/dr-hackathon", "kernel_id": "116701271"}, {"ref": "simransajan/marker-notebook", "kernel_id": "116489844"}, {"ref": "mohamedamineboudj/501-resnet-50-mod-amca-aptos-19", "kernel_id": "116149423"}, {"ref": "mohamedboudjemaa/1-stage-1-complete-pipeline", "kernel_id": "116581346"}, {"ref": "abdallahhafsa/newpfeproject", "kernel_id": "116945398"}, {"ref": "nagasaivamsi/question-1", "kernel_id": "116208337"}, {"ref": "sudhaxettri/aptos-blindness-detection", "kernel_id": "116429409"}, {"ref": "rawanalimm/efficientnets-for-diabetic-retinopathy-detection", "kernel_id": "117325398"}, {"ref": "jannysultana/dr-detection-project", "kernel_id": "117485571"}, {"ref": "jannysultana/dr-detection-classification", "kernel_id": "117525961"}, {"ref": "thifal27/diabetic-retinopathy", "kernel_id": "118379222"}, {"ref": "guhanbalachandran/ai-assignment", "kernel_id": "118081516"}, {"ref": "usamaazam9/resnet50", "kernel_id": "118019213"}, {"ref": "ozdemirbeyza/notebookcf0c0b2ea4", "kernel_id": "119977065"}, {"ref": "yuvarjparmar/notebookc58f7be9b1", "kernel_id": "119242529"}, {"ref": "tewoldegebreyesus/aptos-eye-preprocessing-in-diabetic-retinopathy", "kernel_id": "119282756"}, {"ref": "asyhputmi/pytorch-gpu", "kernel_id": "120563237"}, {"ref": "hibbanrdn/dr-classification-aptos-v8-fix", "kernel_id": "120282833"}, {"ref": "snehachalla73/notebookea6bfd6f0d", "kernel_id": "120771936"}, {"ref": "snehachalla73/notebookdr-b", "kernel_id": "120659575"}, {"ref": "abhisheksinghyfugukg/fork-of-project-final-sem", "kernel_id": "120409091"}, {"ref": "habiburrahmanhemel/dr-thesis-code-6", "kernel_id": "120960974"}, {"ref": "usamaazam9/efficientnet", "kernel_id": "120211653"}, {"ref": "saffanurap/offline-weight-export", "kernel_id": "120997208"}, {"ref": "talalmughal2000/convnext", "kernel_id": "120010474"}, {"ref": "talalmughal2000/convnext-tiny", "kernel_id": "120318277"}, {"ref": "funkysaint/diabetic-retinopathy-severity-grading-v01", "kernel_id": "121962472"}, {"ref": "egwusam/notebook54e98e628d", "kernel_id": "121836838"}, {"ref": "snehachalla73/notebook87b1fea7cf", "kernel_id": "121238436"}, {"ref": "snehachalla73/notebookfcb1f8b11c", "kernel_id": "121781621"}, {"ref": "pavankumarchoudari/notebookdrmobilenetfinal", "kernel_id": "121790418"}, {"ref": "pavankumarchoudari/notebook76d855a7e7", "kernel_id": "121879139"}, {"ref": "pavankumarchoudari/notebookdrfinal", "kernel_id": "121625334"}, {"ref": "pavankumarchoudari/notebook87b1fea7cf", "kernel_id": "121285025"}, {"ref": "mshahadath/vimdr-train-vimdr-fold-0", "kernel_id": "121371935"}, {"ref": "mshahadath/vimdr-model-kaggle-py", "kernel_id": "121334185"}, {"ref": "mshahadath/fork-of-vimdr-train-vimdr-fold-1", "kernel_id": "121986944"}, {"ref": "khangcancode/efficientnetb4-deit-small", "kernel_id": "121055077"}, {"ref": "arafat120/vimdr-train-vimdr-fold-1", "kernel_id": "121989882"}, {"ref": "mohamedamineboudj/3-stage-1-mnv3large-amca", "kernel_id": "122438631"}, {"ref": "aotimbe/detect-diabetic-retinopathy", "kernel_id": "122830974"}, {"ref": "snehachalla73/notebooka5ae2660b6", "kernel_id": "122921129"}, {"ref": "akhmadrasyidalfarabi/tugas-akhir-2", "kernel_id": "122602871"}, {"ref": "asepshantikaramadhan/skripsi-dila", "kernel_id": "122034351"}, {"ref": "abdallahhafsaa/pfe-rd-project", "kernel_id": "122364571"}, {"ref": "arafat120/vimdr-train-vimdr-fold-2", "kernel_id": "122737266"}, {"ref": "arafat120/vimdr-train-vimdr-fold-2-1", "kernel_id": "122900575"}, {"ref": "khangcancode/15-6-2026-effnet-lid-downscalling", "kernel_id": "123066601"}, {"ref": "jaycejamesmayo/notebook3efad4a8a0", "kernel_id": "123785421"}, {"ref": "pratibimbswain/diabetic-retinopathy", "kernel_id": "124658789"}, {"ref": "hibbanrdn/02-xai-analysis-kaggle", "kernel_id": "124346508"}, {"ref": "nadjwatasyasafira/dr-tanpapre-processing-maxvit", "kernel_id": "124478806"}, {"ref": "nadjwatasyasafira/dr-convnextv2-nopreprocessing", "kernel_id": "124787458"}, {"ref": "nadjwatasyasafira/dr-convnextv2-withpreprocessing", "kernel_id": "124853686"}, {"ref": "ryuminhyuk/aptos-vit-baseline", "kernel_id": "124347318"}, {"ref": "laimochuy/hrijuta-datta", "kernel_id": "124157783"}, {"ref": "laimochuy/retrain-dr", "kernel_id": "124941407"}, {"ref": "slenterprises12/efficient-net-v2s", "kernel_id": "124559939"}, {"ref": "laingochuyen/retrain-dr", "kernel_id": "124946023"}, {"ref": "shiwangnathtripathi/multi-model-efficient-net-b4", "kernel_id": "124323764"}, {"ref": "shiwangnathtripathi/multi-model-efficient-net-b6", "kernel_id": "124353177"}, {"ref": "shiwangnathtripathi/multi-model-efficient-net-b0", "kernel_id": "124244307"}, {"ref": "ab0y04/diabetic-retinopathy", "kernel_id": "124402618"}, {"ref": "khangcancode/best-f1-model", "kernel_id": "124912229"}, {"ref": "ahmedfaruk07/retinopati-detection", "kernel_id": "125446556"}, {"ref": "ryuminhyuk/aptos-vit-attention-rollout", "kernel_id": "125139292"}, {"ref": "hakmesyo/master-reproducibility-v3", "kernel_id": "126276671"}, {"ref": "sarrachtioui/dr-final-continue", "kernel_id": "126841181"}, {"ref": "sinthujakan/notebook50e702dd27", "kernel_id": "126890459"}, {"ref": "mohamedchtioui/dr-journal-continue", "kernel_id": "126968010"}, {"ref": "sreecharithakadiri/fyp-review1", "kernel_id": "126594957"}, {"ref": "sreecharithakadiri/fyp35-model", "kernel_id": "126612834"}, {"ref": "sahithishiny/fyp-review1", "kernel_id": "126946366"}, {"ref": "sahithishiny/model-training-fyp35", "kernel_id": "126954463"}, {"ref": "hmimida/dr-final", "kernel_id": "126623305"}, {"ref": "nafiznoyon/dr-publication-part-3", "kernel_id": "127738508"}, {"ref": "qipchip31/diabetic-retinopathy-evaluation", "kernel_id": "128796733"}, {"ref": "fbtresent/aptos-2019-densenet-keras-starter", "kernel_id": "128350588"}, {"ref": "muhammadaqibali/resnet50-on-aptos", "kernel_id": "128770425"}, {"ref": "lakshyagoogleceo/final-btp-binary-vit", "kernel_id": "128785454"}, {"ref": "sahithishiny/prep-all-resize", "kernel_id": "128792312"}, {"ref": "asivakumarnair/diabetic-retinopathy-imagenet", "kernel_id": "128493229"}, {"ref": "ayush1k/preprocessed-aptos-2019-ben-graham-256x256", "kernel_id": "129908337"}, {"ref": "shawnazd/01-aptos-preprocess-folds", "kernel_id": "129750695"}, {"ref": "shruthiandra2004/minor-project-final", "kernel_id": "129286300"}, {"ref": "raviyadav43/dr-crossdataset-generalization", "kernel_id": "130220564"}, {"ref": "bhanuprakash463/retinal-resnet50-aptos-rep-v2", "kernel_id": "130638257"}, {"ref": "priyanshprasad1/dr-research-resnet-50-old-do-not-use", "kernel_id": "130237817"}, {"ref": "bhavyanjali732/dr-inceptionv3", "kernel_id": "131632134"}, {"ref": "bhavyanjali732/dr-densenet", "kernel_id": "131723270"}, {"ref": "naitik18/notebook0d5b0f11cd", "kernel_id": "131494132"}, {"ref": "aryajadmika/08-convnextmlp-mixer-hybrid-vers3", "kernel_id": "132074047"}, {"ref": "aryajadmika/09-convnext-poolformer-hybridvers3", "kernel_id": "132627721"}, {"ref": "raunakratan/notebookbe75bd89c2", "kernel_id": "132603578"}, {"ref": "dianggraaeni/eksplorasi-backbone-vgg16", "kernel_id": "132025695"}, {"ref": "ayushkumargore/notebook274eaff778", "kernel_id": "132587362"}, {"ref": "mahithazari/drsih", "kernel_id": "132526854"}, {"ref": "abhyanshumishra/notebookda35ac7ecc", "kernel_id": "132008141"}, {"ref": "abhyanshumishra/nwegt", "kernel_id": "132082406"}, {"ref": "priyanshu760/notebookfb6f5446a9", "kernel_id": "132991991"}, {"ref": "premkumar099/notebookfb6f5446a9", "kernel_id": "132978501"}, {"ref": "srijitamondal330/notebook274eaff778", "kernel_id": "132537653"}, {"ref": "shriatduyfuj/notebookfb220bec20", "kernel_id": "132482219"}, {"ref": "sohinihim/notebook274eaff778-a37e1c", "kernel_id": "132580775"}, {"ref": "sohinihim/notebook274eaff778-ebfb10", "kernel_id": "132579493"}, {"ref": "abdurraufbhirawa296/model-diabetic-retiopathy-by-apthos-idrid-eyepacs", "kernel_id": "132871304"}, {"ref": "sahityanerella/dr-dataset", "kernel_id": "133029717"}, {"ref": "souravmishra0987/retinopathy", "kernel_id": "133152383"}, {"ref": "shubhamagg07/notebook708819040f", "kernel_id": "133745446"}, {"ref": "pruthvirajkokate/sih-1st", "kernel_id": "133320622"}, {"ref": "wamanvasudhasuneel/btp-project", "kernel_id": "133945390"}, {"ref": "pourushjalan/notebookcf6080cfe3", "kernel_id": "133160761"}, {"ref": "shaikhayanmujahed/notebookd4002b5392", "kernel_id": "133007674"}, {"ref": "devv5574/notebookaae342f59c", "kernel_id": "133097694"}, {"ref": "shriatduyfuj/89-ka-try-v2", "kernel_id": "133357558"}, {"ref": "bhavikajainz/resnet50-training", "kernel_id": "133440081"}, {"ref": "bhavikajainz/notebook1545f18568", "kernel_id": "133425769"}, {"ref": "vishalramcs/notebookfd8713ddd0", "kernel_id": "133897929"}, {"ref": "navyssh/retina-blindness", "kernel_id": "134327727"}, {"ref": "zainulabaideen/notebook2f1977984c", "kernel_id": "134246660"}, {"ref": "naitik18/notebook6311facf89", "kernel_id": "134329539"}, {"ref": "vedikapangavhane/sih-1", "kernel_id": "134821024"}, {"ref": "rohith9990/notebookcb8b860efa", "kernel_id": "134971661"}, {"ref": "unkownguy/notebook7aa0318ebb", "kernel_id": "134567599"}, {"ref": "sreecharithakadiri/sept16-prep-all-size", "kernel_id": "134506013"}, {"ref": "quockhanh295/resnet50-training", "kernel_id": "134056634"}, {"ref": "shabdagyajha/notebookc5ebec0cbf", "kernel_id": "134517717"}, {"ref": "abdurraufbhirawa296/dr-ai-01-data-audit", "kernel_id": "134830517"}, {"ref": "sprova/diabetic-retinopathy", "kernel_id": "134105797"}, {"ref": "iqbalhossain25/kaggle-dinov2-federated-retinal-thesis-final-xai-f", "kernel_id": "135826567"}, {"ref": "kanganabatghare/drishtiai-efficientnet-training", "kernel_id": "135136646"}, {"ref": "amandadsouza20/explainable-lightweight-transfer-learning-models", "kernel_id": "135504173"}, {"ref": "madhursahay/synapse", "kernel_id": "135920874"}, {"ref": "kaisrhoma/midvision-processed-data", "kernel_id": "135700344"}, {"ref": "kaisrhoma/eda-group4-medvision", "kernel_id": "135403657"}, {"ref": "preethamvoorugonda/deepretina-qa", "kernel_id": "135325343"}, {"ref": "shmaw20345ss/orignal", "kernel_id": "135113300"}, {"ref": "karmaisabish/dr-practice", "kernel_id": "135375192"}, {"ref": "kevilk/diabetic-retinopathy-stage-detection", "kernel_id": "135962442"}, {"ref": "vedantbhamare007/dr-screening-step2-preprocessing", "kernel_id": "136399597"}, {"ref": "vedantbhamare007/dr-screening-step1-eda", "kernel_id": "136397168"}, {"ref": "zainulabaideen/notebook071cf9677b", "kernel_id": "136103351"}, {"ref": "malindichathumini/dr-stage-detection-ensemble-v4", "kernel_id": "136442986"}, {"ref": "malindichathumini/dr-stage-detection-ensemble-v3", "kernel_id": "136429729"}, {"ref": "malindichathumini/dr-stage-detection-experiments", "kernel_id": "136233389"}, {"ref": "malindichathumini/dr-stage-detection-final-results", "kernel_id": "136331781"}, {"ref": "senanuretin/aptos-three-predictions-i-wrote-before-the-data", "kernel_id": "136010686"}]}
{"competition_id": "14777", "kernels": []}
{"competition_id": "14778", "kernels": []}
{"competition_id": "14785", "kernels": []}
{"competition_id": "14787", "kernels": []}
{"competition_id": "14790", "kernels": []}
{"competition_id": "14793", "kernels": []}
{"competition_id": "14794", "kernels": []}
{"competition_id": "14804", "kernels": []}
{"competition_id": "14807", "kernels": []}
{"competition_id": "14809", "kernels": []}
{"competition_id": "14813", "kernels": []}
{"competition_id": "14820", "kernels": [{"ref": "namgalielei/simple-load-images-and-count-number-of-each-class", "kernel_id": "4064264"}, {"ref": "tranvietsh1/challenge-traffigns", "kernel_id": "4057713"}, {"ref": "bajrangchapola/german-traffic-sign-classification-challenge", "kernel_id": "4191822"}, {"ref": "daviddo74/dungdo-cnn", "kernel_id": "4073390"}, {"ref": "ahmedms/road-sign-detection-submitted", "kernel_id": "12102007"}, {"ref": "abdelrahman26/traffic-sign-final", "kernel_id": "12048890"}, {"ref": "karanjakhar/traffic-sign-siamese", "kernel_id": "15251957"}, {"ref": "nakulll/germanroadsigndet", "kernel_id": "15286405"}, {"ref": "abdelrahman26/german-traifc-v1", "kernel_id": "16386366"}, {"ref": "l0new0lf/ssl-clasification-data-generation", "kernel_id": "26074976"}]}
{"competition_id": "14828", "kernels": [{"ref": "worldsalt3/titanic-survival-prediction", "kernel_id": "4101410"}]}
{"competition_id": "14834", "kernels": []}
{"competition_id": "14836", "kernels": []}
{"competition_id": "14845", "kernels": []}
{"competition_id": "14852", "kernels": []}
{"competition_id": "14858", "kernels": [{"ref": "jganzabal/fashion-mnist-baseline-regresion-logistica", "kernel_id": "4189659"}, {"ref": "jschwindt/stratifiedkfold-ejemplo-con-fashion-mnist", "kernel_id": "4553113"}, {"ref": "jschwindt/cyclic-lr-ejemplo-con-fashion-mnist", "kernel_id": "4554634"}, {"ref": "jschwindt/plot-losses", "kernel_id": "4345450"}, {"ref": "jschwindt/cyclic-lr", "kernel_id": "4376290"}, {"ref": "kuanyshoteu/fashion-mnist", "kernel_id": "80845936"}, {"ref": "yerassylabylkassym/fashionmnistcnn", "kernel_id": "85716186"}, {"ref": "aithbb/fashion-mnist-cnn-practice", "kernel_id": "85716408"}, {"ref": "batyrpro/fashion-mnist-day-2", "kernel_id": "85716500"}]}
{"competition_id": "14859", "kernels": [{"ref": "danofer/basic-features-geotab-intersections", "kernel_id": "5826677"}, {"ref": "danofer/baseline-feature-engineering-geotab-69-5-lb", "kernel_id": "5827212"}, {"ref": "harisyammnv/initial-eda-with-maps", "kernel_id": "5793355"}, {"ref": "jpmiller/eda-to-break-through-rmse-68", "kernel_id": "5847585"}, {"ref": "tunguz/geotab-with-h2o-automl-for-totaltimestopped-p20", "kernel_id": "5846091"}, {"ref": "tunguz/geotab-with-h2o-automl-for-totaltimestopped-p50", "kernel_id": "5846496"}, {"ref": "tunguz/geotab-with-h2o-automl-for-totaltimestopped-p80", "kernel_id": "5846500"}, {"ref": "tunguz/geotab-with-h2o-automl-for-distancetofirststop-p20", "kernel_id": "5846516"}, {"ref": "tunguz/geotab-with-h2o-automl-for-distancetofirststop-p50", "kernel_id": "5846535"}, {"ref": "tunguz/geotab-with-h2o-automl-for-distancetofirststop-p80", "kernel_id": "5846546"}, {"ref": "tunguz/geotab-with-h2o-automl", "kernel_id": "5846816"}, {"ref": "tunguz/adversarial-geotab", "kernel_id": "5843409"}, {"ref": "janlauge/intersection-congestion-eda", "kernel_id": "5796805"}, {"ref": "snugyun01/bigqueryml-starter-code", "kernel_id": "5805788"}, {"ref": "rohitpatil/geotab-catboost", "kernel_id": "5796750"}, {"ref": "schrammsm/baseline-model-mean-of-targets", "kernel_id": "5888496"}, {"ref": "immune/bigquery-geotab-eda", "kernel_id": "5796826"}, {"ref": "govoruha/r-eda-bigquery-geotab-intersection-congestion", "kernel_id": "5815725"}, {"ref": "dcaichara/feature-engineering-and-lightgbm", "kernel_id": "5927056"}, {"ref": "kabure/insightful-eda-modeling-lgbm-hyperopt", "kernel_id": "5795886"}, {"ref": "pradeepmuniasamy/extensive-eda-and-modelling-geotab-inertsection", "kernel_id": "5794005"}, {"ref": "pradeepmuniasamy/comparative-study-of-models-geotab-inertsection", "kernel_id": "5801290"}, {"ref": "kartikeyash/eda-forward-feature-selection", "kernel_id": "5989048"}, {"ref": "luisfredgs/bigquery-geotab-fe-xgboost", "kernel_id": "5920469"}, {"ref": "klaus82/initial-eda", "kernel_id": "5811609"}, {"ref": "sirtorry/bigquery-ml-template-intersection-congestion", "kernel_id": "5535228"}, {"ref": "sanikamal/bqml-predict-wait-times", "kernel_id": "5808105"}, {"ref": "anshuls235/google-big-query-bokeh-visualizations", "kernel_id": "5836027"}, {"ref": "prazhant/predicting-wait-times-at-intersections", "kernel_id": "5813990"}, {"ref": "dan3dewey/bbq-intersection-congestion", "kernel_id": "5817431"}, {"ref": "fatihbilgin/data-visualization-and-eda-for-geotab-bigquery", "kernel_id": "5952437"}, {"ref": "bgmello/how-one-percentile-affect-the-others", "kernel_id": "5820192"}, {"ref": "joatom/bqml-incl-intersection-clusters", "kernel_id": "5818343"}, {"ref": "joatom/cluster-intersections-per-city-bq", "kernel_id": "5848498"}, {"ref": "amsavchuk/bigquery-ml-template-intersection-congestion", "kernel_id": "5796836"}, {"ref": "pulkitmehtawork1985/beating-benchmark", "kernel_id": "5791871"}, {"ref": "vikassingh1996/thoughtful-eda-feature-engineering-and-lightgbm", "kernel_id": "5954676"}, {"ref": "gaborfodor/2-validation-strategy", "kernel_id": "6232193"}, {"ref": "gaborfodor/3-xgboost-overfitting", "kernel_id": "6232922"}, {"ref": "gaborfodor/4-xgboost-general", "kernel_id": "6232994"}, {"ref": "gaborfodor/5-combine-models", "kernel_id": "6233144"}, {"ref": "gaborfodor/1-xgboost-baseline", "kernel_id": "6178198"}, {"ref": "gaborfodor/0-feature-extraction", "kernel_id": "6083405"}, {"ref": "roymurphy99/engineering-a-new-feature-for-geotab", "kernel_id": "6767029"}, {"ref": "renewang/bigqueryml-vanilla-linear-regression", "kernel_id": "6314664"}, {"ref": "exocert/a-better-baseline-with-the-median", "kernel_id": "6109292"}, {"ref": "davideanastasia/from-latitude-longitude-to-geohash-feature", "kernel_id": "6083189"}, {"ref": "davideanastasia/hybrid-pytorch-hashing-embedding-linear", "kernel_id": "6810799"}, {"ref": "jagannathrk/geotab-intersection-insightful-eda", "kernel_id": "6749205"}, {"ref": "jagannathrk/geotab-intersection-eda", "kernel_id": "6795088"}, {"ref": "mpetyak/bigquery-ml-experimenting-with-template", "kernel_id": "6881319"}, {"ref": "ryches/sdml-branch-baseline-feature-engineering-geotab", "kernel_id": "6195528"}, {"ref": "whatust/geotab-congestion", "kernel_id": "6039733"}, {"ref": "ragnar123/eda-feature-engineer-and-baseline-lgbm", "kernel_id": "6192028"}, {"ref": "ragnar123/feature-engineering-and-forward-feature-selection", "kernel_id": "6247336"}, {"ref": "demon041/time-prediction", "kernel_id": "6238662"}, {"ref": "joatom/bqml-population-of-zip-code-per-intersection", "kernel_id": "6655710"}, {"ref": "joatom/bigquery-geotab-bqml", "kernel_id": "6981026"}, {"ref": "hanjoonchoe/eda-with-md-distance-and-impute-missings", "kernel_id": "6204761"}, {"ref": "hanjoonchoe/bigquery-gic-share-some-edas", "kernel_id": "6183496"}, {"ref": "hanjoonchoe/hour-to-hour-month-to-month-correlation", "kernel_id": "6340693"}, {"ref": "hanjoonchoe/eda-with-different-minkowski-distances", "kernel_id": "6284851"}, {"ref": "hartorn/sklearn-keras", "kernel_id": "6932321"}, {"ref": "corbbb1111/intersection-competition-eda", "kernel_id": "6196423"}, {"ref": "gorewa/bqml-geotab", "kernel_id": "6059684"}, {"ref": "meomeoowww/congestion-challeng-m6w6", "kernel_id": "6110456"}, {"ref": "kjmartin/intersection-ingestion", "kernel_id": "6726011"}, {"ref": "alexdefrutos/deeplearning-no-eda", "kernel_id": "6431398"}, {"ref": "kefahaied/bigquery-geotab-intersection-congestion", "kernel_id": "6125517"}, {"ref": "mohamed22369/kernel18e462ea67", "kernel_id": "6672383"}, {"ref": "jcsantiago/intersection-congestion-only-ml-bigquery", "kernel_id": "6998002"}, {"ref": "microfarads/descriptive-eda-visuals", "kernel_id": "6074094"}, {"ref": "susieliu1998/predicting-the-waiting-time-with-xgboost", "kernel_id": "6914791"}, {"ref": "mimorisoki/second-chalenge", "kernel_id": "6505262"}, {"ref": "chutongxiao/predicting-the-waiting-time-with-lasso-regression", "kernel_id": "6589395"}, {"ref": "ksanji/kernel70ddc7f43e", "kernel_id": "6656492"}, {"ref": "stefancurtress/geotab-eda-features-and-rf", "kernel_id": "6585433"}, {"ref": "dtamming/geotab-part-1-eda", "kernel_id": "8484616"}, {"ref": "dtamming/geotab-modelling", "kernel_id": "8484673"}, {"ref": "dtamming/geotab-exploration", "kernel_id": "8696345"}, {"ref": "omegaji/indepth-eda", "kernel_id": "8043489"}, {"ref": "keyongenesis/bq-ntu", "kernel_id": "8289339"}, {"ref": "darwinwin/geotab-with-h2o-automl", "kernel_id": "8098217"}, {"ref": "darwinwin/geotab-with-h2o-automl-744937", "kernel_id": "8098223"}, {"ref": "adithyakag/geo-congestion2", "kernel_id": "9619977"}, {"ref": "kelvinteheri/ntu-cz4041-project", "kernel_id": "9077275"}, {"ref": "ericssy/cs412-project", "kernel_id": "12344495"}, {"ref": "muxiaoxiong/feature-engineering-and-lightgbm", "kernel_id": "12703157"}, {"ref": "fayzaalmukharreq/traffic-congestion", "kernel_id": "18508611"}, {"ref": "jirahmarienavarro/ntu-cz4041-project", "kernel_id": "20721979"}, {"ref": "dievaghea/traffic-congestion", "kernel_id": "22636148"}, {"ref": "mnhtrncngtun/r-mining-hk2-2022", "kernel_id": "27301689"}, {"ref": "zyh1104/016-bigquery-geotab-intersection-congestion", "kernel_id": "71393676"}]}
{"competition_id": "14867", "kernels": [{"ref": "cmosquera/histology-baseline", "kernel_id": "4144409"}, {"ref": "cmosquera/guia-submission", "kernel_id": "4148124"}]}
{"competition_id": "14872", "kernels": [{"ref": "kirichenko17roman/lightgbm-grouped-cv-with-new-features", "kernel_id": "4157782"}, {"ref": "kirichenko17roman/knn-example", "kernel_id": "4146470"}, {"ref": "oyeryomenko/insta-likes-xgboost-kernel", "kernel_id": "4542197"}, {"ref": "yurilla/lgbm-xgb-ensemble", "kernel_id": "4311040"}, {"ref": "koskov/lightgbm-grouped-cv-with-new-features-edited", "kernel_id": "4506265"}]}
{"competition_id": "14876", "kernels": [{"ref": "phaelpolicena/kernelf7128c07ab", "kernel_id": "4148430"}]}
{"competition_id": "14887", "kernels": []}
{"competition_id": "14894", "kernels": []}
{"competition_id": "14897", "kernels": [{"ref": "sohier/getting-started-reading-the-data", "kernel_id": "6962931"}, {"ref": "lextoumbourou/self-supervised-pretraining-with-context-encoders", "kernel_id": "7691630"}, {"ref": "lextoumbourou/transfer-learning-with-context-encoders", "kernel_id": "7711226"}, {"ref": "ceshine/bengali-automl-baseline-inference", "kernel_id": "7966880"}, {"ref": "hengck23/kernel5be4586b59", "kernel_id": "7640371"}, {"ref": "uriushi/an-introduction-to-bengali-by-visualization", "kernel_id": "7768734"}, {"ref": "pukkinming/grapheme-fast-ai-starter-with-resnet18-inference", "kernel_id": "7279289"}, {"ref": "pukkinming/grapheme-fast-ai-starter-using-resnet18", "kernel_id": "7277550"}, {"ref": "amaity0/bengali-grapheme-third-try", "kernel_id": "7805796"}, {"ref": "amaity0/bengali-grapheme-third-inference", "kernel_id": "7821230"}, {"ref": "amaity0/bengali-grapheme-first-predict", "kernel_id": "7901404"}, {"ref": "amaity0/bengali-grapheme-first-try", "kernel_id": "7176647"}, {"ref": "ibraheemmoosa/bangla-handwritten-grapheme-uncertainty-weighted", "kernel_id": "7326501"}, {"ref": "ibraheemmoosa/bangla-handwritten-grapheme", "kernel_id": "7134198"}, {"ref": "ibraheemmoosa/bangla-handwritten-grapheme-inference-ensemble", "kernel_id": "7333766"}, {"ref": "ibraheemmoosa/fork-of-bangla-handwritten-grapheme-inference", "kernel_id": "7810764"}, {"ref": "chriscc/grapheme-fast-ai-inference-stacking", "kernel_id": "7893255"}, {"ref": "nulldata/getting-started-with-bengali-eda", "kernel_id": "7135539"}, {"ref": "tunguz/bengali-sample-submission-starter", "kernel_id": "7119806"}, {"ref": "haqishen/augmix-based-on-albumentations", "kernel_id": "7906911"}, {"ref": "haqishen/gridmask", "kernel_id": "7739892"}, {"ref": "bitthal/starterkernel-pytorch-resnet34", "kernel_id": "7404020"}, {"ref": "bitthal/bengali-dataset-eda", "kernel_id": "7135851"}, {"ref": "abhishek4273/first-submit-monk", "kernel_id": "7442564"}, {"ref": "reasat/evaluating-model-performance-on-the-test-set", "kernel_id": "7121704"}, {"ref": "reasat/loading-time-comparison", "kernel_id": "7157346"}, {"ref": "kottisasikanth/bengali-ai-dataset-eda", "kernel_id": "7251007"}, {"ref": "corochann/bengali-seresnext-training-with-pytorch", "kernel_id": "7249413"}, {"ref": "corochann/bengali-seresnext-prediction-with-pytorch", "kernel_id": "7244755"}, {"ref": "corochann/bangali-ai-super-fast-data-loading-with-feather", "kernel_id": "7140112"}, {"ref": "corochann/bengali-albumentations-data-augmentation-tutorial", "kernel_id": "7366275"}, {"ref": "hcmyds/modelv1", "kernel_id": "7207752"}, {"ref": "code1110/mixup-cutmix-in-keras", "kernel_id": "7722606"}, {"ref": "machinelp/pytorch-resnet50-inference-0-9412-lb", "kernel_id": "7200896"}, {"ref": "yiheng/iterative-stratification", "kernel_id": "7170714"}, {"ref": "rhythmcan/what-s-parquet-file", "kernel_id": "7778949"}, {"ref": "rhythmcan/what-s-test-data-and-submission-data", "kernel_id": "7781405"}, {"ref": "ren4yu/bengali-morphological-ops-as-image-augmentation", "kernel_id": "7743823"}, {"ref": "gpreda/bengali-ai-handwritten-grapheme-getting-started", "kernel_id": "7171770"}, {"ref": "guusvanderham/kernel6d6ad3233f", "kernel_id": "7926684"}, {"ref": "nubatama/extract-training-image", "kernel_id": "7163828"}, {"ref": "inhoii/how-to-get-score-of-0-98-with-one-gtx-1080ti", "kernel_id": "7892986"}, {"ref": "yeayates21/cant-submit-1s-whats-wrong-please-help", "kernel_id": "7934382"}, {"ref": "luhego/grapheme-keras-data-augmentation-from-folder", "kernel_id": "7451676"}, {"ref": "pestipeti/optimization-tips-faster-train-faster-inference", "kernel_id": "7525693"}, {"ref": "pestipeti/visualize-your-model-s-augmented-predictions", "kernel_id": "7559448"}, {"ref": "pestipeti/fast-ensemble-5-folds-20-minutes", "kernel_id": "7533965"}, {"ref": "pestipeti/bengali-quick-eda", "kernel_id": "7119797"}, {"ref": "pestipeti/simple-pytorch-training-lb-0-7654", "kernel_id": "7127856"}, {"ref": "pestipeti/simple-pytorch-inference", "kernel_id": "7133106"}, {"ref": "davlanigan/bengali-characters-simplenet", "kernel_id": "7594742"}, {"ref": "drhabib/generating-more-training-data", "kernel_id": "7731662"}, {"ref": "kdorichev/bengali-ai-handwritten-grapheme-classification", "kernel_id": "7222281"}, {"ref": "dyt811/explorative-quantitative-eda", "kernel_id": "7735900"}, {"ref": "rsmits/using-multiprocessing-for-image-preprocessing", "kernel_id": "7699991"}, {"ref": "grapestone5321/bengali-a-sample-submission", "kernel_id": "7119744"}, {"ref": "chandraroy/bengali-beginners-model-artifacts-0-87", "kernel_id": "7134691"}, {"ref": "jd81197/bengali-graphemes-starter-eda-multi-output-cnn", "kernel_id": "7977675"}, {"ref": "salazarslytherin/grapheme-001", "kernel_id": "7930006"}, {"ref": "seriousran/bengali-data-analysis-handwritten-classification", "kernel_id": "7119911"}, {"ref": "iafoss/image-preprocessing-128x128", "kernel_id": "7175641"}, {"ref": "iafoss/grapheme-fast-ai-starter-inference", "kernel_id": "7194113"}, {"ref": "iafoss/grapheme-fast-ai-starter-lb-0-964", "kernel_id": "7167587"}, {"ref": "wardenga/bengali-handwritten-graphemes-with-automl", "kernel_id": "7579764"}, {"ref": "wardenga/offline-predictions-with-automl-models-for-bengali", "kernel_id": "7785036"}, {"ref": "wakamezake/bengali-publicscore-check", "kernel_id": "7160852"}, {"ref": "wakamezake/bengali-handwritten-grapheme-classification-eda", "kernel_id": "7120695"}, {"ref": "bmk007/bengali-handwritten-grapheme", "kernel_id": "7795369"}, {"ref": "shawon10/bangla-graphemes-image-processing-deep-cnn", "kernel_id": "7301456"}, {"ref": "shawon10/noise-removing-cropping-and-roi-of-images", "kernel_id": "7453694"}, {"ref": "shawon10/transfer-learning-bengali-graphemes-classification", "kernel_id": "7718030"}, {"ref": "bergerda/bengaliai", "kernel_id": "7540903"}, {"ref": "anirbank/bengali-graphemes-multichannelcnn-with-dataaug", "kernel_id": "7682994"}, {"ref": "anirbank/bengali-graphemes-basic-eda", "kernel_id": "7766331"}, {"ref": "anirbank/bengali-graphemes-multichannelcnn-data-aug-2", "kernel_id": "7952730"}, {"ref": "anirbank/bengali-graphemes-prediction-from-saved-model", "kernel_id": "7573199"}, {"ref": "anirbank/bengali-graphemes-multichannelcnn-using-tf2", "kernel_id": "7398736"}, {"ref": "anirbank/bengali-graphemes-starter-eda-multi-channel-cnn", "kernel_id": "7469059"}, {"ref": "bsridatta/resnext-using-pytorch-lightning", "kernel_id": "7592779"}, {"ref": "sibmike/bengali-groupshufflesplit-validation", "kernel_id": "7735793"}, {"ref": "sibmike/pivots-hint-why-cutmix-works", "kernel_id": "7690944"}, {"ref": "bibek777/heng-s-starter-training-kernel", "kernel_id": "7467581"}, {"ref": "bibek777/heng-starter-inference-kernel", "kernel_id": "7301694"}, {"ref": "bibek777/augmentation-augmix", "kernel_id": "7321109"}, {"ref": "mnpinto/bengali-ai-fastai2-starter-lb0-9598", "kernel_id": "7512035"}, {"ref": "aleksandradeis/bengali-ai-eda", "kernel_id": "7352049"}, {"ref": "aleksandradeis/bengali-ai-efficientnet-pytorch-starter", "kernel_id": "7490162"}, {"ref": "chekoduadarsh/tutorial-design-your-own-cnn-layer-by-layer", "kernel_id": "7367521"}, {"ref": "chekoduadarsh/bengali-ai-understand-and-augment-eda", "kernel_id": "7457102"}, {"ref": "chekoduadarsh/design-train-multi-output-mono-output-cnn-models", "kernel_id": "7489825"}, {"ref": "faysalislam/bengali-data-analysis-handwritten-classification", "kernel_id": "7176189"}, {"ref": "jmartindelasierra/class-activation-mapping-in-handwritten-bengali", "kernel_id": "7467185"}, {"ref": "pabloberhauser/visualizing-inputs-by-grapheme-root", "kernel_id": "7184479"}, {"ref": "antchesnais/keras-cnn-recall-metric-tracking", "kernel_id": "7998546"}, {"ref": "sgalella/bengali-ai-grapheme-classification-preprocessing", "kernel_id": "7164335"}, {"ref": "nandhuelan/densernet-pytorch-bengali-v2", "kernel_id": "7173354"}, {"ref": "khoongweihao/bengali-ai-eda-deep-multi-output-cnn", "kernel_id": "7476428"}, {"ref": "khoongweihao/resnet-34-pytorch-starter-kit", "kernel_id": "7159814"}, {"ref": "kaushal2896/bengali-graphemes-starter-eda-multi-output-cnn", "kernel_id": "7140788"}, {"ref": "kaushal2896/bengali-graphemes-multi-output-resnet-50", "kernel_id": "7209869"}, {"ref": "kaushal2896/resize-and-load-with-feather-format-much-faster", "kernel_id": "7847985"}, {"ref": "kaushal2896/bengali-graphemes-simple-cnn-0-9596-lb", "kernel_id": "7864661"}, {"ref": "kaushal2896/bengali-graphemes-simple-cnn-with-cutmix", "kernel_id": "7734215"}, {"ref": "kaushal2896/resnet34-efficientnetb3-ensemble", "kernel_id": "7994600"}, {"ref": "bhaveshthaker/bengali-ai-handwritten-grapheme-classification", "kernel_id": "7333762"}, {"ref": "abraristiak39/starter-wide-resnet50-train-inference", "kernel_id": "7894825"}, {"ref": "backaggle/catalyst-baseline", "kernel_id": "7193233"}, {"ref": "roguekk007/another-stab", "kernel_id": "7587414"}, {"ref": "hirotaka0122/bengali-custom-albumentations-transforms", "kernel_id": "7757679"}, {"ref": "hirotaka0122/bengali-dataset-setup", "kernel_id": "7141856"}, {"ref": "ipythonx/keras-bengali-ai-grapheme-classification", "kernel_id": "7908208"}, {"ref": "pnussbaum/grapheme-mind-reader-panv00", "kernel_id": "7510289"}, {"ref": "pnussbaum/grapheme-mind-reader-panv12-nogpu", "kernel_id": "7512190"}, {"ref": "mightyrains/how-does-the-test-images-look", "kernel_id": "7433731"}, {"ref": "benayas/functions", "kernel_id": "7902787"}, {"ref": "naveen2961988/kernel6d7c349150", "kernel_id": "7822363"}, {"ref": "mobassir/se-resnext152-pytorch-baseline-for-bengali", "kernel_id": "7894341"}, {"ref": "mobassir/se-resnext50-pytorch-inference", "kernel_id": "7896705"}, {"ref": "mobassir/resized-rgb-images-for-faster-training", "kernel_id": "7984450"}, {"ref": "karthikvenktesh/bengali-ai-handwritten-started", "kernel_id": "7256474"}, {"ref": "ritssriram/bengali-graphemes-starter-eda-multi-output-cnn", "kernel_id": "7952033"}, {"ref": "gaur128/bengali-graphemems-model-inference", "kernel_id": "7607124"}, {"ref": "sundaramoorthyks/basic-cnn", "kernel_id": "7939120"}, {"ref": "kaerunantoka/pred-bengali-resnet18-exp5", "kernel_id": "7594918"}, {"ref": "kaerunantoka/get-classes-difficult-to-classify-for-your-model", "kernel_id": "7732315"}, {"ref": "nerobugger/bengali-ai-eda-base-cnn", "kernel_id": "7782033"}, {"ref": "hidetaketakahashi/bengali-image-cropping-function", "kernel_id": "7843422"}, {"ref": "hidetaketakahashi/bengali-visualization-of-cnn-20-layers", "kernel_id": "7868250"}, {"ref": "aishakhatun/initial-exploration", "kernel_id": "7867511"}, {"ref": "tahirmuslimscientist/bangali-grapheme-seresnext-0-9663", "kernel_id": "7816444"}, {"ref": "dhananjay3/model-error-analysis", "kernel_id": "7543510"}, {"ref": "phoenix9032/pytorch-efficientnet-starter-kernel", "kernel_id": "7235359"}, {"ref": "phoenix9032/pytorch-efficientnet-starter-code", "kernel_id": "7239979"}, {"ref": "phoenix9032/shake-shake-regularization-starter-code", "kernel_id": "7344242"}, {"ref": "thetrueharvey/handwritten-grapheme-classification", "kernel_id": "7528397"}, {"ref": "suryaparsa/bengaliai-resnet50", "kernel_id": "7361360"}, {"ref": "venky2506/fastai-inference-128x128-v2", "kernel_id": "7982420"}, {"ref": "xhlulu/bengali-ai-simple-densenet-in-keras", "kernel_id": "7137098"}, {"ref": "antonp23/kernel3324ec5e6d", "kernel_id": "7903230"}, {"ref": "lkatran/base-model-bengali-graphemes-keras", "kernel_id": "7966032"}, {"ref": "blaxkdolphin/simplecnnmultiheadclassifier", "kernel_id": "7933974"}, {"ref": "maxlenormand/investigating-multiple-pre-processing-methods", "kernel_id": "7601979"}, {"ref": "maxlenormand/cropping-to-character-resizing-images", "kernel_id": "7136554"}, {"ref": "maxlenormand/multi-class-activation-map-with-efficientnetb0", "kernel_id": "7925658"}, {"ref": "vincentyong97/256x256-kernel", "kernel_id": "7496173"}, {"ref": "vincentyong97/efficientnet-b7-inference", "kernel_id": "7198004"}, {"ref": "timaskr/memory-effective-multioutput-resnet", "kernel_id": "7453437"}, {"ref": "subinium/bengali-ai-interactive-heatmap", "kernel_id": "7752336"}, {"ref": "subediaarjun/resnet-pytorch", "kernel_id": "7165797"}, {"ref": "virajbagal/keras-resnet-bengali-ai-training", "kernel_id": "7131850"}, {"ref": "virajbagal/potential-6th-place-lb-magic-layers-pp", "kernel_id": "7692017"}, {"ref": "virajbagal/fast-ai-mixup-cutmix-augmix-and-gridmask-visuals", "kernel_id": "7906200"}, {"ref": "kausikn/bengaliai-fastai-inferencenotebook", "kernel_id": "7796128"}, {"ref": "julienbeaulieu/bengaliai-model-inference-02-jb", "kernel_id": "7899799"}, {"ref": "artikwh/bengali-ai-resnet-34-pytorch-model", "kernel_id": "7274076"}, {"ref": "artikwh/exploring-data-and-getting-images", "kernel_id": "7233182"}, {"ref": "anirbansen3027/kernel52940e0a49", "kernel_id": "7999579"}, {"ref": "hanjoonchoe/grapheme-resnet-18-naive-learning-4", "kernel_id": "7152724"}, {"ref": "hanjoonchoe/grapheme-resnet-18-n-l-inference-lb-0-9259", "kernel_id": "7156101"}, {"ref": "hanjoonchoe/grapheme-resnet-18-naive-learning-3", "kernel_id": "7139783"}, {"ref": "hanjoonchoe/grapheme-resnet-18-naive-learning-2", "kernel_id": "7139386"}, {"ref": "hanjoonchoe/grapheme-resnet-18-n-l-inference-lb-0-8566", "kernel_id": "7140282"}, {"ref": "hanjoonchoe/resize-and-load-with-feather-format-much-faster", "kernel_id": "7125952"}, {"ref": "hanjoonchoe/grapheme-resnet-18-naive-learning", "kernel_id": "7130440"}, {"ref": "hanjoonchoe/grapheme-modified-bornonet-naive-learning-1", "kernel_id": "7158428"}, {"ref": "hanjoonchoe/grapheme-modified-bornonet-naive-learning-2", "kernel_id": "7159511"}, {"ref": "hanjoonchoe/grapheme-modified-bornonet-naive-learning-3", "kernel_id": "7163428"}, {"ref": "hanjoonchoe/grapheme-resnet18-mixup-naive-learning-1", "kernel_id": "7169772"}, {"ref": "hanjoonchoe/grapheme-custom-macro-recall-score-speed-check", "kernel_id": "7233404"}, {"ref": "user123454321/resnet18-base-inference", "kernel_id": "7134050"}, {"ref": "amitdutta121/bengali-seresnext-training-with-pytorch", "kernel_id": "7801532"}, {"ref": "wfstoel/eda-class-frequencies", "kernel_id": "7844681"}, {"ref": "breathe825/inference-xiaoyu", "kernel_id": "7852905"}, {"ref": "amanooo/bengali-ai-multi-output-densenet-keras", "kernel_id": "7357663"}, {"ref": "amanooo/bengali-ai-multi-output-densenet121-keras", "kernel_id": "7418703"}, {"ref": "ajax0564/kernel7c9c3c386a", "kernel_id": "7973582"}, {"ref": "jeongjiheon/resnet34-dropout-radam", "kernel_id": "7796898"}, {"ref": "seraphwedd18/three-part-model-training-kernel-only-submission", "kernel_id": "7855456"}, {"ref": "anmspro/first-trial-submission", "kernel_id": "7125601"}, {"ref": "anmspro/bengali-graphemes-starter-eda-multi-output-cnn", "kernel_id": "7685987"}, {"ref": "liang23333/kernel397167931a", "kernel_id": "7399542"}, {"ref": "aryanshomray/fork-of-kernel33f49d2e20", "kernel_id": "7979644"}, {"ref": "vineeth1999/a-good-one", "kernel_id": "7863645"}, {"ref": "aaroha33/bengali-ai-handwritten-graphemes-open-cv", "kernel_id": "7405835"}, {"ref": "yuyuta/submission-error-solved", "kernel_id": "7910342"}, {"ref": "sadrultoaha/reading-the-data", "kernel_id": "7419535"}, {"ref": "linainversez/bengali-fast-ai-inference", "kernel_id": "7573242"}, {"ref": "shujun717/rebuilt-no-bn", "kernel_id": "7332468"}, {"ref": "p4rallax/bengali-ai-eda-visualization", "kernel_id": "7126213"}, {"ref": "abbasidaniyal/bengali-handwritting", "kernel_id": "7398358"}, {"ref": "amit9484/keras-cnn-saving-model-lb-score-89", "kernel_id": "7693083"}, {"ref": "starl1ght/simple-starter", "kernel_id": "7121615"}, {"ref": "rundun159/bengali-kernel-quick-eda-from-peter-s", "kernel_id": "7982858"}, {"ref": "rundun159/bengali-kernel-copied-from-kaushal-shah", "kernel_id": "7994025"}, {"ref": "anibanyal/bengali-kaggle", "kernel_id": "7160343"}, {"ref": "tangchengshun/bengali-seresnext-prediction-with-pytorch1-0", "kernel_id": "7447346"}, {"ref": "h030162/version1-0-9696", "kernel_id": "7840452"}, {"ref": "abebe9849/test-for", "kernel_id": "7921105"}, {"ref": "lenkast/bengali-graphemes-multioutput-resnet18-keras", "kernel_id": "7688624"}, {"ref": "deshwalmahesh/bengali-ai-complete-beginner-tutorial-95-acc", "kernel_id": "7456315"}, {"ref": "ankitagupta0199/text-classify-20news-glove", "kernel_id": "7753075"}, {"ref": "nathanpw/pp-resnext50-64", "kernel_id": "7897058"}, {"ref": "rohitsingh9990/starter-kit-bengali-ai-grapheme-classification", "kernel_id": "7171107"}, {"ref": "rohitsingh9990/bengaliai-starter-eda-multi-output-densenet", "kernel_id": "7383693"}, {"ref": "rohitsingh9990/bengaliai-multi-output-densenet-submission", "kernel_id": "7391438"}, {"ref": "anisrfd/bengali-handwritten-classification", "kernel_id": "7207770"}, {"ref": "taherhaggui/great-starter", "kernel_id": "7707401"}, {"ref": "apstars/seresnext50-based-on-pytorch", "kernel_id": "7997584"}, {"ref": "slayer007/model-kernel", "kernel_id": "7335698"}, {"ref": "slayer007/model-kernel141-root", "kernel_id": "7514929"}, {"ref": "a2hrfr/ashraffcnn", "kernel_id": "7427184"}, {"ref": "anirudhaghosh/kernel658196e280", "kernel_id": "7393623"}, {"ref": "larswigger/bengali-training", "kernel_id": "7956530"}, {"ref": "rodrigoignacioperez/initial-notebook", "kernel_id": "7926331"}, {"ref": "jasonkatz33/basic-nn", "kernel_id": "7890495"}, {"ref": "jasonkatz33/cnn-draft", "kernel_id": "7921094"}, {"ref": "lucamassaron/1-create-tfrecords", "kernel_id": "8357800"}, {"ref": "lextoumbourou/bengali-ai-curriculum-dropout-fastai", "kernel_id": "8095601"}, {"ref": "philippsinger/checking-r-c-v-scores", "kernel_id": "8444633"}, {"ref": "cpmpml/tpu-test", "kernel_id": "8363420"}, {"ref": "cpmpml/tpu-sub-bs256-full-train", "kernel_id": "8351890"}, {"ref": "ceshine/bengali-automl-baseline-ensemble-inference", "kernel_id": "8038186"}, {"ref": "vagrawal/ensemble-efficientnet-b3-densenet161", "kernel_id": "8398709"}, {"ref": "toshik/bng-nn-solution", "kernel_id": "8479136"}, {"ref": "vishal1310/efficientnet-b5-on-tpu", "kernel_id": "8353052"}, {"ref": "amaity0/bengali-grapheme-multioutput-inference", "kernel_id": "8017677"}, {"ref": "havingfun/bengali-ai-inference-from-abhishek-thakur-s-yt", "kernel_id": "8308868"}, {"ref": "criticalmaz/variational-autoencoder-bengali-ai-handwritten", "kernel_id": "8216482"}, {"ref": "jamesmcguigan/bengali-ai-multi-output-df-cnn", "kernel_id": "8375050"}, {"ref": "jamesmcguigan/reading-parquet-files-ram-cpu-optimization", "kernel_id": "8387185"}, {"ref": "jamesmcguigan/bengali-ai-cnn-data-pipeline-problem-solving", "kernel_id": "8424910"}, {"ref": "jamesmcguigan/bengali-ai-dataset-as-image-directory", "kernel_id": "8412972"}, {"ref": "jamesmcguigan/bengali-ai-eda-grapheme-combinations", "kernel_id": "8242783"}, {"ref": "jamesmcguigan/image-preprocessing", "kernel_id": "8312015"}, {"ref": "jamesmcguigan/unicode-visualization-of-the-bengali-alphabet", "kernel_id": "8297209"}, {"ref": "tunguz/bengali-2d-umap", "kernel_id": "8469029"}, {"ref": "haqishen/validation-with-unseen", "kernel_id": "8301438"}, {"ref": "haqishen/bengali-train-seen-model", "kernel_id": "8330469"}, {"ref": "haqishen/bengali-predict-with-seen-unseen-models", "kernel_id": "8409193"}, {"ref": "haqishen/bengali-train-unseen-model", "kernel_id": "8333808"}, {"ref": "ttahara/visualize-10th-place-model-where-sse-block-looks", "kernel_id": "8506713"}, {"ref": "seesee/1-create-tfrecords", "kernel_id": "8248386"}, {"ref": "seesee/3-submit", "kernel_id": "8267622"}, {"ref": "seesee/2-train", "kernel_id": "8263424"}, {"ref": "jagannathrk/efficientnet-b5-on-tpu", "kernel_id": "8389126"}, {"ref": "jagannathrk/bengali-ai-multi-output-densenet121", "kernel_id": "8405797"}, {"ref": "gwiheo/kernel88606ae708", "kernel_id": "8165964"}, {"ref": "mks2192/data-preparation", "kernel_id": "8191873"}, {"ref": "hemanth346/understanding-input", "kernel_id": "8064589"}, {"ref": "inhoii/kernel393cfa5247", "kernel_id": "8381160"}, {"ref": "bmabir17/bengali-ai-inference", "kernel_id": "8103255"}, {"ref": "nicapotato/bengali-etl", "kernel_id": "8192945"}, {"ref": "sheriytm/grapheme-fastai2-starter-inference", "kernel_id": "8086724"}, {"ref": "sheriytm/grapheme-fastai2-starter", "kernel_id": "8081690"}, {"ref": "rsmits/keras-efficientnet-b3-training-inference", "kernel_id": "8103650"}, {"ref": "ddhawan/bengali-char-recog2", "kernel_id": "8231025"}, {"ref": "urvishp80/efficientnet-tf-keras-augmix-cutmix-mixup-gridmask", "kernel_id": "8129428"}, {"ref": "jd81197/kernel2ecf7416bf", "kernel_id": "8275110"}, {"ref": "salazarslytherin/grapheme-keras-effnet-b3-training-inference", "kernel_id": "8302209"}, {"ref": "salazarslytherin/grapheme-tensorflow-submission-max-0-9728", "kernel_id": "8289380"}, {"ref": "anmol4210/submission-model", "kernel_id": "8349720"}, {"ref": "anmol4210/bengalicharacterultipleoutputlayers", "kernel_id": "8315712"}, {"ref": "harshpatel1692/all-combinations-168-x-11-x-7-edge-cases", "kernel_id": "8434808"}, {"ref": "harshpatel1692/bangla-predict", "kernel_id": "8083964"}, {"ref": "jonathanql/tests", "kernel_id": "8879580"}, {"ref": "mrcooperr/the-submission-notebook-of-team-daemencloudt", "kernel_id": "8292617"}, {"ref": "shawon10/deep-cnn-model-with-mixup-and-cutmix-augmentation", "kernel_id": "8302196"}, {"ref": "shawon10/efficientnetb3-inference", "kernel_id": "8336062"}, {"ref": "kurianbenoy/efficientnetb4-parameter-tweaks", "kernel_id": "8428578"}, {"ref": "mobasshir/bengali-graphemes-starter-eda-multi-output-cnn", "kernel_id": "8220715"}, {"ref": "anirbank/bengali-graphemes-resnet50-tpu", "kernel_id": "8130321"}, {"ref": "anirbank/bengali-graphemes-resnet50-2", "kernel_id": "8112986"}, {"ref": "anirbank/bengali-graphemes-prediction-from-three-models", "kernel_id": "8112703"}, {"ref": "anirbank/bengali-graphemes-resnet50", "kernel_id": "8041778"}, {"ref": "edwinwenink/team-rausnaus-mlip-final-training-notebook", "kernel_id": "8474442"}, {"ref": "ozdata/initial-eda-bengali-ai", "kernel_id": "8125102"}, {"ref": "dhirus/dhirus-keras", "kernel_id": "8300893"}, {"ref": "mohammadzunaed/efficientnet-b5-inference-kernel-pytorch", "kernel_id": "8993530"}, {"ref": "parmarsuraj99/bengaliai-resnext50-inference", "kernel_id": "8151765"}, {"ref": "bamps53/private0-9704-tpu-keras-metric-learning", "kernel_id": "8471070"}, {"ref": "sachingarg1998/3-multi-model-inference-tpu", "kernel_id": "8352982"}, {"ref": "aponted511/model-pipelines-submission", "kernel_id": "8282392"}, {"ref": "moximo13/spatial-transform-network-bengali", "kernel_id": "8507079"}, {"ref": "egm108/top15-kernel", "kernel_id": "8206998"}, {"ref": "nandhuelan/why-not-mobilenet-versions", "kernel_id": "8064396"}, {"ref": "shinsei66/pytorch-starter-efficientnet-train-inference", "kernel_id": "8403358"}, {"ref": "smivvla/stratification", "kernel_id": "8168200"}, {"ref": "kaushal2896/efficientnet-b1-with-gridmask-augmix", "kernel_id": "8060310"}, {"ref": "lightnezzofbeing/5-fold-average", "kernel_id": "8379542"}, {"ref": "shonenkov/ghostnet-densenet121-super-easy-inference", "kernel_id": "8309326"}, {"ref": "arturdatascientist/gridmask-dynamic-probability", "kernel_id": "8151586"}, {"ref": "prishat/bengali-handwriting-classification-1", "kernel_id": "8090260"}, {"ref": "ajinkyaindulkar/sub-mlip-model-noaug", "kernel_id": "8492241"}, {"ref": "ajinkyaindulkar/mlip-model-noaug", "kernel_id": "8474774"}, {"ref": "ipythonx/bengali-numeral-classification-in-capsule-network", "kernel_id": "8583758"}, {"ref": "ipythonx/keras-stratified-training-ensemble", "kernel_id": "8254570"}, {"ref": "santosh16k/inference-of-resnext50-bengali", "kernel_id": "8043733"}, {"ref": "gopidurgaprasad/resnet34-inference-by-abhishek-thakur", "kernel_id": "8128114"}, {"ref": "gopidurgaprasad/efficietnet3-pytorch-training-inference", "kernel_id": "8143596"}, {"ref": "leonisviridis/bengali-transfer-learning-model", "kernel_id": "8631312"}, {"ref": "leonisviridis/bengali-submission-2-0", "kernel_id": "8648569"}, {"ref": "leonisviridis/bengali-submission-3-0", "kernel_id": "8694569"}, {"ref": "saife245/handwritten-grapheme-classification-resnet-0-97", "kernel_id": "8233754"}, {"ref": "poojaarora014/using-ghostnet-and-densenet", "kernel_id": "8408452"}, {"ref": "axiostpc/bengali-fast-inference-single-model", "kernel_id": "8015385"}, {"ref": "pyy0715/bengali-pytorch-starter", "kernel_id": "8299034"}, {"ref": "sangyon/albubangalis", "kernel_id": "8611929"}, {"ref": "blaxkdolphin/simplecnn-resnet34-multihead-classifer", "kernel_id": "8016726"}, {"ref": "hunminyang/bengali-graphemes-starter-eda-multi-output-cnn", "kernel_id": "8024866"}, {"ref": "hunminyang/bengali-yang-training-v3-0", "kernel_id": "8395813"}, {"ref": "drobchak1988/bengali-grapheme-tpu-gpu-cpu-tensorflow-squeeze", "kernel_id": "8385603"}, {"ref": "drobchak1988/tfrecords-create-test", "kernel_id": "8137711"}, {"ref": "drobchak1988/bengali-grapheme-tpu-gpu-cpu-tensorflow", "kernel_id": "8192804"}, {"ref": "drobchak1988/bengali-grapheme-tfrecords-create", "kernel_id": "8087622"}, {"ref": "lakshit77/resnet34-pytorch", "kernel_id": "8147077"}, {"ref": "dlehddms1/submission-gpu", "kernel_id": "8300331"}, {"ref": "toruhasegawa/ocr-introduction-with-muti-output-cnn", "kernel_id": "8058933"}, {"ref": "plsjlq/image-resizing-trial-using-opencv", "kernel_id": "8250900"}, {"ref": "virajbagal/mixup-cutmix-fmix-visualisations", "kernel_id": "8646384"}, {"ref": "djzero/cnnbengali-train", "kernel_id": "8155978"}, {"ref": "julienbeaulieu/bengaliai-model-inference-mobilenet-v2", "kernel_id": "8242309"}, {"ref": "taro37/1-2-create-augmented-tfrecords", "kernel_id": "8374574"}, {"ref": "resurgent/dense169-implementation", "kernel_id": "8777459"}, {"ref": "dkebudi/basic-nn", "kernel_id": "8033487"}, {"ref": "srjony/densenet161-training-inference-no-aug-0-9334", "kernel_id": "8181584"}, {"ref": "pankajdubey223/bengali-handwritten-classification-using-keras-cnn", "kernel_id": "8249619"}, {"ref": "tanmaymaloo/fork-of-final-bengali-fe31e3", "kernel_id": "8189697"}, {"ref": "anmspro/ghostnet-densenet121-inference-first-layer", "kernel_id": "8428513"}, {"ref": "helloharo/resnet-fine-tuning", "kernel_id": "8303754"}, {"ref": "marcelosanchezortega/version1-0-9696", "kernel_id": "8123934"}, {"ref": "sadrultoaha/bai-sub", "kernel_id": "8373830"}, {"ref": "chrisbrown46/keras-example", "kernel_id": "8065967"}, {"ref": "max6296/keras-densenet121-fold-1", "kernel_id": "8225495"}, {"ref": "nd02110114/end-to-end-resnet50-training", "kernel_id": "8463743"}, {"ref": "oooyeeun/multioutput-cnn-ensemble", "kernel_id": "8230470"}, {"ref": "faressayah/digit-recognizer-using-anns-cnns", "kernel_id": "8946531"}, {"ref": "xarshila/grapheme-classification-inference", "kernel_id": "8250219"}, {"ref": "meysonua/simple-squeezenet", "kernel_id": "8355937"}, {"ref": "p4rallax/private-0-9557", "kernel_id": "8479625"}, {"ref": "anushakarthik1991/using-keras-efficientnet", "kernel_id": "8266984"}, {"ref": "luffy1105/bengali-text-recognition-using-pytorch", "kernel_id": "8421570"}, {"ref": "brodzik/bengali-ai-inference", "kernel_id": "8224012"}, {"ref": "rundun159/transfer-through-mnist-efficientnet-bengali", "kernel_id": "8235702"}, {"ref": "raininbox/1-create-tfrecords", "kernel_id": "8291962"}, {"ref": "ludongliang/version1-0-9696", "kernel_id": "8259480"}, {"ref": "garyongguanjie/resnet18public", "kernel_id": "8845725"}, {"ref": "shivyshiv/ensemble-of-all-weights", "kernel_id": "8304308"}, {"ref": "shivyshiv/inference-of-efficientnet-gridmask", "kernel_id": "8410228"}, {"ref": "shivyshiv/efficientnet-gridmask-training-pytorch", "kernel_id": "8409871"}, {"ref": "adarshsng/eda-d-cnn", "kernel_id": "8264112"}, {"ref": "rohitsingh9990/ensemble-efficientnet-b3-densenet161", "kernel_id": "8393379"}, {"ref": "andreyzotov/qubvel-classification-models-test", "kernel_id": "8030487"}, {"ref": "yaroslavyudinskikh/bengali-resnet18", "kernel_id": "8010718"}, {"ref": "yaroslavyudinskikh/begnali-data-to-feather", "kernel_id": "8421683"}, {"ref": "linshokaku/cyclegan-training", "kernel_id": "8495288"}, {"ref": "linshokaku/cyclegan-submission", "kernel_id": "8522903"}, {"ref": "linshokaku/cyclegan-classifier", "kernel_id": "8477761"}, {"ref": "jasonyikim/final", "kernel_id": "8426783"}, {"ref": "jasonyikim/data-augmentation-infogan", "kernel_id": "8186452"}, {"ref": "shythm/bengali-recognize", "kernel_id": "8004072"}, {"ref": "nxrprime/keras-efficientnet-b3-with-image-preprocessing", "kernel_id": "8235771"}, {"ref": "larswigger/pytorch-bengali-submission", "kernel_id": "8144440"}, {"ref": "larswigger/bengali-image-preprocessing", "kernel_id": "8088453"}, {"ref": "mrnastik/cnn-finally-implemented", "kernel_id": "8083371"}, {"ref": "fbergh/rgb-finetuning-resnet-50-tl-inference", "kernel_id": "8467438"}, {"ref": "jasonkatz33/transfer-cnn", "kernel_id": "8077892"}, {"ref": "mopu3263/keras-efficientnet-b3-with-image-preprocessing", "kernel_id": "8287220"}, {"ref": "stefanstanojevic/kernel2b55603361", "kernel_id": "8375217"}, {"ref": "haoche/nodrop-16-256-resnet-18", "kernel_id": "8396285"}, {"ref": "fakegeek1981105/firstmodel", "kernel_id": "8121863"}, {"ref": "fakegeek1981105/ensemble-average", "kernel_id": "8194900"}, {"ref": "fakegeek1981105/se-resnext", "kernel_id": "8197059"}, {"ref": "fakegeek1981105/resnet34-xh", "kernel_id": "8187067"}, {"ref": "koenbaarda/simple-cnn-actually-densenet", "kernel_id": "8320215"}, {"ref": "darwinwin/bengali-automl-baseline-ensemble-inference", "kernel_id": "8088961"}, {"ref": "darwinwin/bengali-automl-baseline-inference", "kernel_id": "8088909"}, {"ref": "wangqiyuan/bengali-automl-baseline-ensemble-inference", "kernel_id": "8112562"}, {"ref": "wangqiyuan/bengali-automl-baseline-inference", "kernel_id": "8112564"}, {"ref": "karishmakunder/validation-with-unseen", "kernel_id": "8307260"}, {"ref": "thepatel99/bengali-cnn", "kernel_id": "9477528"}, {"ref": "mashiat/googlenet-resnet", "kernel_id": "9826717"}, {"ref": "mashiat/conv-bengali-ai", "kernel_id": "9512365"}, {"ref": "aku0810/bengali-okkhor", "kernel_id": "9614914"}, {"ref": "mahisoni/bengali-ai-deep-learning", "kernel_id": "9472219"}, {"ref": "garyongguanjie/seresnext-50-inference", "kernel_id": "9231749"}, {"ref": "garyongguanjie/seresnext-50-train-public", "kernel_id": "9246750"}, {"ref": "garyongguanjie/seresnext-50-train", "kernel_id": "9223353"}, {"ref": "garyongguanjie/resnet34-ensemble", "kernel_id": "9019977"}, {"ref": "shanshanpeng/10th-another-try", "kernel_id": "9024735"}, {"ref": "shanshanpeng/pengshanshan99-10th", "kernel_id": "9019138"}, {"ref": "ovenkatasrikanth/bengali-ai-o-v-srikanth", "kernel_id": "9343210"}, {"ref": "abisheksrivastav/bengali-ai", "kernel_id": "10914334"}, {"ref": "holfyuen/minimalist-guide-to-reading-data-in-any-format", "kernel_id": "10813695"}, {"ref": "cdeotte/how-to-compete-with-gpus-workshop", "kernel_id": "10314553"}, {"ref": "heartbeat007/neural-net-impelmemtation-of-the-grapheme-data", "kernel_id": "10471450"}, {"ref": "shadmanrohan/resnet-34-pytorch", "kernel_id": "10810460"}, {"ref": "anmspro/bangla-grapheme-data-visualization", "kernel_id": "10781123"}, {"ref": "tasnimnishatislam/bengali-ai-abhishek-thakur-tutorial", "kernel_id": "10412715"}, {"ref": "sinfini8/bengali-ai-grapheme-classification", "kernel_id": "10922720"}, {"ref": "amanmishra4yearbtech/bengali-classification-basic-eda-implementation", "kernel_id": "10927942"}, {"ref": "amanmishra4yearbtech/bengali-classification-quick-implementation", "kernel_id": "10738321"}, {"ref": "jamesccc/bengali-single", "kernel_id": "13707263"}, {"ref": "jamesccc/bengali-multihead", "kernel_id": "13749711"}, {"ref": "jamesccc/bengali-fusion", "kernel_id": "13749257"}, {"ref": "swarupbarua/train-image-pickles", "kernel_id": "13458673"}, {"ref": "jia072/bengali-ai", "kernel_id": "13748116"}, {"ref": "boramsongrad/bengali", "kernel_id": "14557475"}, {"ref": "reasat/word2grapheme", "kernel_id": "15137958"}, {"ref": "reasat/synthetic-words", "kernel_id": "15125965"}, {"ref": "cedricmanouan11/bengali-graphemes-convert-parquet", "kernel_id": "15193390"}, {"ref": "shariarnurnahin/bengaliai", "kernel_id": "16087320"}, {"ref": "ngminhton/bengali-graphemes-starter-eda-multi-output-cnn", "kernel_id": "16056636"}, {"ref": "davidbroin/vpc2-tp-final-perusset-broin", "kernel_id": "19918247"}, {"ref": "pratibhagoudar/bengali-graphemes-starter-eda-multi-output-cnn", "kernel_id": "20396466"}, {"ref": "pratibhagoudar/notebook5-09-21", "kernel_id": "20315641"}, {"ref": "pratibhagoudar/notebooke7ef644650", "kernel_id": "20327107"}, {"ref": "pyjune/bengali-daniel-park-kor-eng", "kernel_id": "20986705"}, {"ref": "mdrobinmiah/bangla-graphemes-image-processing-deep-cnn", "kernel_id": "24437999"}, {"ref": "jabed100/bhr-full-data", "kernel_id": "26180958"}, {"ref": "phananhv/how-to-compete-with-gpus-workshop", "kernel_id": "27171913"}, {"ref": "trnlaiphc/51900831-nguyen-binh-thang-52000705-tran-lai", "kernel_id": "27347710"}, {"ref": "trnvnduy/52000751-tranvanduy-52000750-phanhuynhtoanduc-so7", "kernel_id": "27345214"}, {"ref": "imkaran23/bengali4-copy", "kernel_id": "31530461"}, {"ref": "imkaran23/bengali4", "kernel_id": "31012241"}, {"ref": "nafishatabassum/newnotbook", "kernel_id": "34423875"}, {"ref": "jabed100/bangla-graphemes-image-processing-deep-cnn", "kernel_id": "35174770"}, {"ref": "adwitasingh1711/grapheme-work", "kernel_id": "36414574"}, {"ref": "khan7715/bengali-grapheme-handwriting", "kernel_id": "37147232"}, {"ref": "nmsx2016006/cyclegan-classifier-5e3998", "kernel_id": "41193484"}, {"ref": "nuaadxs/cyclegan-submission-d", "kernel_id": "41218732"}, {"ref": "nuaadxs/cyclegan-classifier-d", "kernel_id": "41218775"}, {"ref": "nuaadxs/cyclegan-training-d", "kernel_id": "41218785"}, {"ref": "ipythonx/keras-distributed-high-level-to-low-level-training", "kernel_id": "42690165"}, {"ref": "shamswalisowmo/bangla-font-detection-thesis", "kernel_id": "55994881"}, {"ref": "sumitchavda/image-preprocessing", "kernel_id": "63454624"}, {"ref": "imthebaron/bengali-ai-grapheme-classification", "kernel_id": "66582140"}, {"ref": "saadqacif/bengali-graphemes-starter-eda-multi-output-cnn", "kernel_id": "74230826"}, {"ref": "theolee72/bengali-submit", "kernel_id": "75784092"}, {"ref": "theolee72/bengali-trial", "kernel_id": "75009355"}, {"ref": "davinci2003/bengali-submission", "kernel_id": "76728796"}, {"ref": "davinci2003/fork-of-fork-of-bengali-submission", "kernel_id": "77547392"}, {"ref": "sakeefhossain/notebook39d5b83535", "kernel_id": "134941062"}]}
{"competition_id": "14898", "kernels": []}
{"competition_id": "14909", "kernels": []}
{"competition_id": "14915", "kernels": [{"ref": "werty12121/starter-code-read-and-write", "kernel_id": "4181108"}, {"ref": "igorsieradzki/save-result", "kernel_id": "4160325"}]}
{"competition_id": "14938", "kernels": []}
{"competition_id": "14959", "kernels": []}
{"competition_id": "14967", "kernels": []}
{"competition_id": "14976", "kernels": []}
{"competition_id": "14982", "kernels": [{"ref": "sefficohen/starter-kernel", "kernel_id": "4259755"}, {"ref": "yotamsa/colombus-main-code", "kernel_id": "4280105"}, {"ref": "giladrubin/akathon-winning-kernel", "kernel_id": "4395690"}]}
{"competition_id": "14999", "kernels": [{"ref": "ccccat/r-glmnet", "kernel_id": "5552628"}, {"ref": "abhishek/entity-embeddings-to-handle-categories", "kernel_id": "5478318"}, {"ref": "ezamir/simple-scikit-pipeline", "kernel_id": "5950309"}, {"ref": "jeongyoonlee/embeddingencoder-autolgb-in-kaggler", "kernel_id": "5950729"}, {"ref": "jeongyoonlee/embeddingencoder-targetencoder-autolgb", "kernel_id": "5963154"}, {"ref": "inversion/simple-rf-starter", "kernel_id": "5473932"}, {"ref": "superant/cat-relations", "kernel_id": "5932911"}, {"ref": "superant/oh-my-cat", "kernel_id": "5942818"}, {"ref": "peterhurford/why-not-logistic-regression", "kernel_id": "5479275"}, {"ref": "egolinko/qgel-embed-lookup", "kernel_id": "5906645"}, {"ref": "ayusov/embedding-single-vs-multiple-cats", "kernel_id": "5772275"}, {"ref": "erykwalczak/using-r-for-eda-and-h2o-randomforest", "kernel_id": "5478622"}, {"ref": "tunguz/adversicat", "kernel_id": "5556740"}, {"ref": "rahulvks/gradient-boosting-with-catboost", "kernel_id": "5921715"}, {"ref": "praxitelisk/categorical-feature-encoding-challenge-eda-ml", "kernel_id": "5790726"}, {"ref": "robikscube/starter-eda-categorical-feature-challenge", "kernel_id": "5486777"}, {"ref": "artgor/exploring-categorical-encodings", "kernel_id": "5511901"}, {"ref": "arashnic/cats-vs-lgbm", "kernel_id": "5509688"}, {"ref": "neibyr/mean-target-encoding", "kernel_id": "5486406"}, {"ref": "deepshekhar/categorical-feature-encoding-challenge", "kernel_id": "5709724"}, {"ref": "plarmuseau/we-are-predicting-something-random", "kernel_id": "5703099"}, {"ref": "plarmuseau/logistic-regression", "kernel_id": "5695351"}, {"ref": "govoruha/r-simple-eda-model", "kernel_id": "5477019"}, {"ref": "govoruha/entity-embedding-with-r", "kernel_id": "5764231"}, {"ref": "shahules/an-overview-of-encoding-techniques", "kernel_id": "5486390"}, {"ref": "asimandia/let-s-try-some-feature-engineering", "kernel_id": "5548450"}, {"ref": "asimandia/cyclic-features-exploration", "kernel_id": "5601458"}, {"ref": "merckel/vtreat-glm", "kernel_id": "5841474"}, {"ref": "merckel/target-encoding-and-lightgbm", "kernel_id": "5834866"}, {"ref": "merckel/target-encoding", "kernel_id": "5809883"}, {"ref": "tosinbells/categorical-feature-encoding-challenge", "kernel_id": "5577407"}, {"ref": "kabure/eda-feat-engineering-encode-conquer", "kernel_id": "5476443"}, {"ref": "gsdeepakkumar/categorical-encoding-training", "kernel_id": "5508920"}, {"ref": "thirumani/categorical-feature-encoding-challenge", "kernel_id": "5629317"}, {"ref": "vegetasaiyanprince/kernel-cat-data", "kernel_id": "5714087"}, {"ref": "evgeniya1/eda-for-cat-in-dat", "kernel_id": "5888472"}, {"ref": "magreen/my-first-published-kernel", "kernel_id": "5647535"}, {"ref": "bhavikapanara/an-interesting-discovery", "kernel_id": "5559417"}, {"ref": "bhavikapanara/frequency-encoding", "kernel_id": "5560258"}, {"ref": "sugawarya/h2o-automl-30000sec", "kernel_id": "5476668"}, {"ref": "alexanderdbooth/fun-with-catboost", "kernel_id": "5774108"}, {"ref": "chiduralasunny/categorical-feature-encoding-challenge-sunny", "kernel_id": "5508797"}, {"ref": "ipg2014xxx/cat-in-the-dat-kernel", "kernel_id": "5837311"}, {"ref": "prazhant/a-detailed-guide-to-different-encoding-schemes", "kernel_id": "5484400"}, {"ref": "pavelvpster/cat-in-dat-stack", "kernel_id": "5705707"}, {"ref": "pavelvpster/cat-in-dat-le-ohe-te-fe-lgb-bo", "kernel_id": "5510433"}, {"ref": "heshamasem/is-there-a-cat-in-the-dat", "kernel_id": "5733614"}, {"ref": "heshamasem/is-there-a-cat-in-the-dat-kernel-2", "kernel_id": "5760400"}, {"ref": "bearing/improving-performance-for-one-hoc-encoding", "kernel_id": "5802402"}, {"ref": "hocop1/eda-and-a-neural-network", "kernel_id": "5665223"}, {"ref": "nandhuelan/catembed", "kernel_id": "5668887"}, {"ref": "martinab/categorical-features-encoding", "kernel_id": "5510698"}, {"ref": "a03102030/compare-logistic-lgbm", "kernel_id": "5685187"}, {"ref": "errolpereira/simple-data-exploration", "kernel_id": "5904662"}, {"ref": "errolpereira/catboost-model", "kernel_id": "5914586"}, {"ref": "errolpereira/logistic-regression", "kernel_id": "5916593"}, {"ref": "errolpereira/blending-with-logisitic", "kernel_id": "5955287"}, {"ref": "maramsofyan94/cat-in-dat", "kernel_id": "5605362"}, {"ref": "navneetkr123/eda-targetencoding-logistic", "kernel_id": "5909475"}, {"ref": "tapanpatro/let-s-do-some-binary-classification", "kernel_id": "5549430"}, {"ref": "yutanakamura/prml-4-2-3-probabilistic-generative-model", "kernel_id": "5872752"}, {"ref": "chetanambi/categorical-feature-encoding-challenge", "kernel_id": "5544039"}, {"ref": "sudipta10/cat-dat", "kernel_id": "5661288"}, {"ref": "jrw2200/adaboost-smoteboost-and-rusboost", "kernel_id": "5623255"}, {"ref": "tolgahancepel/applying-different-encoding-methods-and-eda", "kernel_id": "5944292"}, {"ref": "sks27199/categorical-feature-encoding-challenge", "kernel_id": "5824852"}, {"ref": "jazivxt/cat-encode", "kernel_id": "5503096"}, {"ref": "lipsita/naive-bayes", "kernel_id": "5983495"}, {"ref": "saikumar587/feature-encoding-and-scaling-xgbclassifier-dnn", "kernel_id": "5673523"}, {"ref": "iwanenko/why-not-catboost", "kernel_id": "5771450"}, {"ref": "ossinova/simple-catboost-0-8-auc-v2-0", "kernel_id": "5767391"}, {"ref": "stephenmugisha/labelencoder", "kernel_id": "5583487"}, {"ref": "martin1234567890/logistic-regression", "kernel_id": "5483130"}, {"ref": "subinium/eda-visualization-categorical-data", "kernel_id": "5939689"}, {"ref": "abhishek9599/not-using-one-hot-encoding", "kernel_id": "5777681"}, {"ref": "billynguyen/using-r-for-eda-modeling", "kernel_id": "5810481"}, {"ref": "atiko9876/mean-target-encoding", "kernel_id": "5715058"}, {"ref": "gogo827jz/catboost-baseline-with-feature-importance", "kernel_id": "5486240"}, {"ref": "kulkarnivishwanath/categorical-feature-encoding-challenge-eda-model", "kernel_id": "5871492"}, {"ref": "pr1c3f1eld/classification-with-xgboost-classifier", "kernel_id": "5637340"}, {"ref": "michaelwong2018/lightgbm-with-one-hot-encoder-for-beginner", "kernel_id": "5985283"}, {"ref": "vikassingh1996/handling-categorical-variables-encoding-modeling", "kernel_id": "5692659"}, {"ref": "prateek0x/feature-encoding-xgb", "kernel_id": "5482875"}, {"ref": "mxiaoyu/logistic-regression-is-strong", "kernel_id": "5955952"}, {"ref": "winterwind9/kernel3958712a1b", "kernel_id": "5836077"}, {"ref": "abhishek/entity-embeddings-to-handle-categories-using-mish", "kernel_id": "6230658"}, {"ref": "norm154845/kernel49510b5a77", "kernel_id": "6585650"}, {"ref": "scottolson/kernel58610bf71d", "kernel_id": "6551349"}, {"ref": "ayusov/knn-with-gower-distance", "kernel_id": "6221681"}, {"ref": "stocks/gm-secret-encoding", "kernel_id": "6559694"}, {"ref": "tezdhar/lr-v2", "kernel_id": "6860439"}, {"ref": "adaubas/2nd-place-solution-categorical-fe-callenge", "kernel_id": "6674049"}, {"ref": "radream/logistic-regression-for-cat", "kernel_id": "6905603"}, {"ref": "akgeni/combining-onehot-and-target-encoding-features", "kernel_id": "6675691"}, {"ref": "ruchibahl18/categorical-data-encoding-techniques", "kernel_id": "6666124"}, {"ref": "hari141v/glmnet-with-binary-onehot-count-encoding", "kernel_id": "6712193"}, {"ref": "jagannathrk/categorical-feature-entity-embeddings", "kernel_id": "6835361"}, {"ref": "jollibobert/cat-distribution-target-rate-eda", "kernel_id": "6166363"}, {"ref": "karnakarthoorpu/methods-to-analyze-categorical-data", "kernel_id": "6997851"}, {"ref": "lowecoryr/eda-first-pass", "kernel_id": "6028922"}, {"ref": "shrutimechlearn/all-about-cyclic-features-deep-dive", "kernel_id": "6198303"}, {"ref": "nicapotato/categorical-catboost-pool-cv-bayes-opt", "kernel_id": "6444517"}, {"ref": "valkenberg/cats-cat-cate-categories", "kernel_id": "6212755"}, {"ref": "kheroxelleon/categorical-feature-encoding-challenge", "kernel_id": "6685742"}, {"ref": "afajohn/lightgbm-nom-5-9-transformation", "kernel_id": "6370475"}, {"ref": "dkomyagin/cat-in-the-dat-0-80285-private-lb-solution", "kernel_id": "6977042"}, {"ref": "takaishikawa/catboost-starter-with-k-fold-no-fe", "kernel_id": "6039636"}, {"ref": "ajithvallabai/categorical-ecoding-cat-challange-solved", "kernel_id": "6371672"}, {"ref": "gsdeepakkumar/categorical-encoding", "kernel_id": "6484818"}, {"ref": "donkeys/simple-preprocessing", "kernel_id": "6026530"}, {"ref": "donkeys/scripting-pickled-catboost", "kernel_id": "6020002"}, {"ref": "evgeniya1/cat-in-dat-modeling", "kernel_id": "6381707"}, {"ref": "adarsh415/categorical-feature-encoding-challenge", "kernel_id": "6558211"}, {"ref": "chukurimu0903/lightgbm-in-r", "kernel_id": "6916543"}, {"ref": "ashkash247/categorical-feature-encoding", "kernel_id": "6381610"}, {"ref": "imdevskp/what-traditional-encoding-methods-would-give-you", "kernel_id": "6643254"}, {"ref": "lgmsantos/month-and-day-insights", "kernel_id": "6524823"}, {"ref": "srbestha/categorical-feature-encoding", "kernel_id": "6719253"}, {"ref": "grecs2001/categorical-feature-encoding-challenge", "kernel_id": "6002851"}, {"ref": "pavelvpster/cat-in-dat-ohe-logit", "kernel_id": "6527060"}, {"ref": "pavelvpster/cat-in-dat-ohe-vs-thermometer-logit", "kernel_id": "6489954"}, {"ref": "pavelvpster/cat-in-dat-solution-1", "kernel_id": "6043197"}, {"ref": "satishkundanagar/categorical-feature-encoding", "kernel_id": "6973774"}, {"ref": "mlisovyi/distribution-of-ordinal-frequencies", "kernel_id": "6023788"}, {"ref": "vladlee/categorical-feature-encoding-simple-xgb", "kernel_id": "6799971"}, {"ref": "vladlee/categorical-feature-encoding-ohe-nn", "kernel_id": "6192227"}, {"ref": "vladlee/categorical-feature-encoding-lgbm", "kernel_id": "6126052"}, {"ref": "mak4alex/categorical-feature-encoding-challenge", "kernel_id": "6109362"}, {"ref": "khoongweihao/categorical-feature-encoding-cat-in-dat-top-10", "kernel_id": "6742348"}, {"ref": "delimixx/boosting-model-check", "kernel_id": "6675140"}, {"ref": "vbmokin/cfec-fe-model-selection-xgb-lgbm-logr-linr", "kernel_id": "6842879"}, {"ref": "vbmokin/cfec-probability-calibration", "kernel_id": "6851632"}, {"ref": "vbmokin/logisticregressioncv", "kernel_id": "6895239"}, {"ref": "vbmokin/one-hot-stratified-logregress-with-my-tuning", "kernel_id": "6898291"}, {"ref": "delafields/a-thorough-guide-on-categorical-feature-encoding", "kernel_id": "6075191"}, {"ref": "robonimo86/disparity-in-values-of-test-and-training-set", "kernel_id": "6823532"}, {"ref": "kaushal2896/cat-in-the-dat-eda-fe-ensembling-stackig", "kernel_id": "6478500"}, {"ref": "kaushal2896/cat-in-the-dat-simple-logistic-regression", "kernel_id": "6573958"}, {"ref": "kei96kag/target-encoding-in-r", "kernel_id": "6571518"}, {"ref": "n2718281/qucik-eda-and-starter-pipeline", "kernel_id": "6589166"}, {"ref": "peterbon/cat-in-the-dat", "kernel_id": "6464619"}, {"ref": "q839651612/adversarial-validation-for-data-selection", "kernel_id": "6268274"}, {"ref": "cserajendra/deep-drive-into-encoding-tech-s", "kernel_id": "6496140"}, {"ref": "ravijoe/vanilla-logistic-regression", "kernel_id": "6830608"}, {"ref": "yutanakamura/45-line-model-of-lightgbm-optuna", "kernel_id": "6488478"}, {"ref": "yutanakamura/25-line-model-of-lightgbm", "kernel_id": "6486895"}, {"ref": "avishake/categorical-2", "kernel_id": "6698649"}, {"ref": "avishake/categorical-1", "kernel_id": "6694381"}, {"ref": "harshavardhanbabu/ensembleencoding-classifier", "kernel_id": "6091658"}, {"ref": "fycher/categorical-features-and-gbm", "kernel_id": "6191232"}, {"ref": "robgol/catsinthedat-trying-all", "kernel_id": "6766397"}, {"ref": "c7934597/on-hot-encoding-for-categorical-encoding", "kernel_id": "6749294"}, {"ref": "krsna540/categorical-feature-encoding", "kernel_id": "6858010"}, {"ref": "gukai1212/encoding-for-category-in-my-learning", "kernel_id": "6930608"}, {"ref": "gukai1212/encoding-for-category", "kernel_id": "6779063"}, {"ref": "subinium/interpretable-xgboost-lgbm-catboost", "kernel_id": "6523767"}, {"ref": "subinium/lightgbm-is-powerful", "kernel_id": "6096584"}, {"ref": "subinium/11-categorical-encoders-and-benchmark", "kernel_id": "6198645"}, {"ref": "teejmahal20/cat-comparing-logistic-regression-and-xgb", "kernel_id": "6435493"}, {"ref": "oguzhansahin/categorical-feature-encoding-challenge", "kernel_id": "6944472"}, {"ref": "jirakst/categorical-data-with-target-encoding", "kernel_id": "6233562"}, {"ref": "nicoisaverage/categorical-feature-encoding", "kernel_id": "6796662"}, {"ref": "ma7555/a-logit-and-a-sparse-matrix", "kernel_id": "6639786"}, {"ref": "bustam/one-hot-stratified-logistic-regression", "kernel_id": "6510345"}, {"ref": "drcapa/categorical-feature-engineering-xgb", "kernel_id": "6054505"}, {"ref": "niranjankumarc/categorical-feature-encoding-modeling", "kernel_id": "6737265"}, {"ref": "lukemonington/categorical-feature-encoding-challenge", "kernel_id": "6392063"}, {"ref": "faressayah/data-science-best-practices-with-pandas-part-1", "kernel_id": "6064038"}, {"ref": "todork/using-sample-weight-parameter-in-lr", "kernel_id": "6202334"}, {"ref": "viktorpopov/cat-in-data", "kernel_id": "6862122"}, {"ref": "purist1024/a-minimalist-baseline-19-lines-for-top-50", "kernel_id": "6097431"}, {"ref": "purist1024/minimalist-ohe-and-cv-blend-21-lines-for-top-20", "kernel_id": "6129475"}, {"ref": "cuijamm/simple-onehot-logisticregression-score-0-80801", "kernel_id": "6054110"}, {"ref": "dskagglemt/categorical-feature-encoding-challenge", "kernel_id": "6810145"}, {"ref": "dskagglemt/categorical-feature-encoding-challenge-2", "kernel_id": "6812601"}, {"ref": "williamsne2/using-multiple-encoding-methods-cat-in-dat2", "kernel_id": "6854409"}, {"ref": "caesarlupum/cat-h2o-ai-from-linear-models-to-deep-learning", "kernel_id": "6184685"}, {"ref": "caesarlupum/cat-with-null-importance-target-permutation", "kernel_id": "6206483"}, {"ref": "caesarlupum/catcomp-simple-target-encoding", "kernel_id": "6156056"}, {"ref": "caesarlupum/catcomp-split-test", "kernel_id": "6295119"}, {"ref": "cmcready/final-project", "kernel_id": "6882889"}, {"ref": "saibharath12/handling-categorical-variables-encoding-modeling", "kernel_id": "6597433"}, {"ref": "ejaz22/simple-xgboost-model", "kernel_id": "6849524"}, {"ref": "devkhant24/categorical-encoding-classification-prediction", "kernel_id": "6501725"}, {"ref": "lashch/cat-encoding-w-keras", "kernel_id": "6428450"}, {"ref": "nilenduprabhakar/kerneled7a9c670d", "kernel_id": "6293957"}, {"ref": "roshninaidu/feature-encoding-logistic-regression", "kernel_id": "6963592"}, {"ref": "songjiseop/let-s-try-some-feature-engineering", "kernel_id": "6049055"}, {"ref": "sureliu/oh-my-cat", "kernel_id": "6383545"}, {"ref": "pranaiyadav/categorical-encoding", "kernel_id": "6532656"}, {"ref": "evgeniipetukhov/logisticregression", "kernel_id": "6830211"}, {"ref": "sangyunkang/categorical-feature-encoding-challenge", "kernel_id": "6943845"}, {"ref": "ihorshypunov/kernel1fcd084e65", "kernel_id": "7295929"}, {"ref": "sourabhdattawad/vanilla-catboost-with-no-preprocessing-0-80451", "kernel_id": "7135060"}, {"ref": "shashank177064/categorical-feature-encoding-challenge", "kernel_id": "7826303"}, {"ref": "pdx250697/logistic-regression-solution", "kernel_id": "7855065"}, {"ref": "gustavomodelli/elastic-net-solution-with-h2o", "kernel_id": "7244334"}, {"ref": "krkirov/minimalist-code-0-80257-private-score", "kernel_id": "7003204"}, {"ref": "gheesung/ntu-assignment-2020", "kernel_id": "7700852"}, {"ref": "talk2ranjanktr/categorical-feature-encoding", "kernel_id": "7133646"}, {"ref": "alexandervc/just-lightgbm", "kernel_id": "7441797"}, {"ref": "ricopue/cramers-v-correlation-for-cat-i-cat-ii", "kernel_id": "7360466"}, {"ref": "faressayah/hyperparameter-optimization-for-machine-learning", "kernel_id": "7041987"}, {"ref": "faressayah/k-means-clustering-private-vs-public-universities", "kernel_id": "7359980"}, {"ref": "faressayah/knneighbors-private-vs-public-universities", "kernel_id": "7363536"}, {"ref": "tushvjti/cat-featureencoding2", "kernel_id": "7503587"}, {"ref": "adarsh415/entity-embedding-pytorch", "kernel_id": "8945118"}, {"ref": "adarsh415/entity-embedding-tf2-0", "kernel_id": "8914912"}, {"ref": "annananan/kernel3d3f712a1a", "kernel_id": "8768953"}, {"ref": "asgusev/cat-dat-test", "kernel_id": "8766933"}, {"ref": "yogeshkumarsingla/multi-column-labelencoder", "kernel_id": "8331018"}, {"ref": "darwinwin/h2o-automl-30000sec", "kernel_id": "8099182"}, {"ref": "jarodc/kernelf7e6080591", "kernel_id": "8302223"}, {"ref": "yertayzhiyenbayev/v3-robt407-categorical-feature-encoding-challenge", "kernel_id": "8742352"}, {"ref": "elpiloto/kernel703182c934", "kernel_id": "9508440"}, {"ref": "chuvik89/one-hot-encoding-on-raw-data", "kernel_id": "10078695"}, {"ref": "sarojbisi/categorical-feature-encoding-challenge-1", "kernel_id": "10505893"}, {"ref": "rahmanimohsen/feature-encoding-and-classification", "kernel_id": "10712399"}, {"ref": "hkalita/feature-encoding", "kernel_id": "11397096"}, {"ref": "diljotwadia/notebookd53bffcf48", "kernel_id": "11844834"}, {"ref": "diljotwadia/notebook66faab00c3", "kernel_id": "11840802"}, {"ref": "vkehfdl1/nom-advanced-analysis", "kernel_id": "11705897"}, {"ref": "vkehfdl1/new-advanced-analysis", "kernel_id": "11955421"}, {"ref": "chaejihan/thisisthetitle", "kernel_id": "11555869"}, {"ref": "sakshammangal/deep-learning-assignment-saksham-mangal", "kernel_id": "11887073"}, {"ref": "samhithavadlamani/categorical-encoding-challenge", "kernel_id": "11606791"}, {"ref": "namangoyal101883055/cat-in-the-dat-namangoyal", "kernel_id": "11886436"}, {"ref": "harneetkaurchahal26/cat-in-the-dat-harneet", "kernel_id": "11882729"}, {"ref": "harneetkaurchahal26/cat-in-the-dat-harneetchahal", "kernel_id": "11884087"}, {"ref": "archingupta/archin-gupta-101703094", "kernel_id": "11889003"}, {"ref": "aravindpadman/eda-and-baseline-model-with-learning-curve", "kernel_id": "12181011"}, {"ref": "tj0612/late-submit-just-enjoy", "kernel_id": "12839324"}, {"ref": "mahmoud1youssef/categorical-features-study", "kernel_id": "12576446"}, {"ref": "ritvik1909/entity-embeddings", "kernel_id": "12978889"}, {"ref": "kickitlikeshika/easy-76", "kernel_id": "13428543"}, {"ref": "santoshbothe/an-overview-of-encoding-techniques", "kernel_id": "14642996"}, {"ref": "werooring/top-1st-place-solution-on-private-lb", "kernel_id": "14519308"}, {"ref": "werooring/powerful-and-simple-eda-for-everyone", "kernel_id": "14318680"}, {"ref": "schorsi/decision-tree-training-accuracy-expirement", "kernel_id": "14767439"}, {"ref": "marselaaliaj/aliaj-categorical-feature-encoding-challenge-v01", "kernel_id": "14593451"}, {"ref": "funxexcel/baseline-sol-cat-encoding-logistic-regression", "kernel_id": "15808754"}, {"ref": "amitraj54/multiple-encoding-techniques-eda-modelling-77", "kernel_id": "15851564"}, {"ref": "werooring/a-1-feature-summary", "kernel_id": "15440601"}, {"ref": "antoreepjana/statistics-for-ml-data-analysis", "kernel_id": "15560344"}, {"ref": "arjunaacharya/baseline-soln-categorical-enc-logistic-regresion", "kernel_id": "15808765"}, {"ref": "ganiyuolalekan/precision-recall-trade-off", "kernel_id": "16112145"}, {"ref": "ganiyuolalekan/eda-on-the-various-categorical-data-0-80464", "kernel_id": "16074792"}, {"ref": "maximseveryn/categorical-feature-encoding-challenge", "kernel_id": "17329022"}, {"ref": "jiangtt/lightautoml-0-80599-private-lb", "kernel_id": "18572459"}, {"ref": "antoreepjana/deep-learning-approaches-for-tabular-datasets", "kernel_id": "18093301"}, {"ref": "karad1818/approaching-almost-any-machine-learning-problem", "kernel_id": "19230938"}, {"ref": "werooring/ch7-modeling2", "kernel_id": "20526444"}, {"ref": "werooring/ch7-eda", "kernel_id": "20526645"}, {"ref": "werooring/ch7-modeling", "kernel_id": "20526803"}, {"ref": "werooring/ch7-baseline", "kernel_id": "20527145"}, {"ref": "shivamkc3/auc-scores-with-folds-using-ml-algo", "kernel_id": "20051237"}, {"ref": "kedarnath07/cat-feature-encoding-prediction", "kernel_id": "20292333"}, {"ref": "werooring/ch7-notebook", "kernel_id": "22237448"}, {"ref": "anoldmaninthesea/an-overview-of-encoding-techniques", "kernel_id": "24536184"}, {"ref": "osamahaikal/deepleaeningcompetition", "kernel_id": "26761968"}, {"ref": "ayamohamadmoualem/categorical-feature-encoding-challenge", "kernel_id": "26713163"}, {"ref": "anasnofal/1st-place-solution", "kernel_id": "27135716"}, {"ref": "domafordarwin/ch7-notebook-my-test", "kernel_id": "27327733"}, {"ref": "merabetasma/cat-encoding-0-80286-in-private-lb", "kernel_id": "27331739"}, {"ref": "hongjopark/ch7-notebook", "kernel_id": "27905291"}, {"ref": "maksudaislamlima/categorical-feature-encoding-challenge", "kernel_id": "28025351"}, {"ref": "cocoyachi/dataanalystics-categorical-feature-encoding", "kernel_id": "28955151"}, {"ref": "doukanelik/categorical-to-numeric-encoding", "kernel_id": "28693690"}, {"ref": "osamahaikal/cross-deep-model-deepleaeningcompetition", "kernel_id": "28800474"}, {"ref": "haeuns/ch7-notebook-dalsoo", "kernel_id": "29122573"}, {"ref": "hyennykim/ch7-modeling2", "kernel_id": "29773088"}, {"ref": "cocoyachi/improvemodel-categorical-feature-encoding", "kernel_id": "29304022"}, {"ref": "cocoyachi/logisticmodeling-categorical-feature-encoding", "kernel_id": "29176830"}, {"ref": "moonssong/categorical-feature-encoding-must-have-chapter-7", "kernel_id": "29190626"}, {"ref": "woohyeokkang/categorical-modeling", "kernel_id": "29751115"}, {"ref": "woohyeokkang/categorical-data-eda", "kernel_id": "29751031"}, {"ref": "baik09/ch7-feature-engineering-test", "kernel_id": "29931241"}, {"ref": "jiaowoguanren/categorical-feature-encoding-challenge-tf-resmlp", "kernel_id": "29674190"}, {"ref": "edutechalexlee/must-have-ch-7-1", "kernel_id": "29033240"}, {"ref": "edutechalexlee/must-have-ch-7-2-1", "kernel_id": "29053477"}, {"ref": "shplee/220730-musthave-ch7-improve", "kernel_id": "29193625"}, {"ref": "surihh/must-have-part02-07-copied", "kernel_id": "29059785"}, {"ref": "actafool/ch7-js", "kernel_id": "29145516"}, {"ref": "luging/luging-ch7-0731-improved", "kernel_id": "29217955"}, {"ref": "luging/luging-ch7-0731", "kernel_id": "29214255"}, {"ref": "luging/luging-ch7-0730", "kernel_id": "29178614"}, {"ref": "cooljmlee/ch7-eda", "kernel_id": "29373319"}, {"ref": "cooljmlee/ch7-modeling", "kernel_id": "29381577"}, {"ref": "cooljmlee/ch7-modeling2", "kernel_id": "29381876"}, {"ref": "cooljmlee/ch7-baseline", "kernel_id": "29381489"}, {"ref": "gaejabong/categorical-feature-encoding-challenge-modeling", "kernel_id": "29123057"}, {"ref": "jirakst/entity-embeddings", "kernel_id": "31237223"}, {"ref": "bhardwajamiriyala/categorical-encoding-with-catboost", "kernel_id": "31841675"}, {"ref": "qet0826/ch7-18011736-eda", "kernel_id": "31214126"}, {"ref": "a10e7beta/ch7-baseline-3fe203", "kernel_id": "31060388"}, {"ref": "kaviga/one-hot-encoding-regression", "kernel_id": "32193137"}, {"ref": "hayoung021/ch7-categorical-feature-encoding-challenge", "kernel_id": "32531894"}, {"ref": "yunah0306/chapter7-8", "kernel_id": "32762062"}, {"ref": "hieyong0302/categoricalfeatureencodingchallenge-jeong", "kernel_id": "33841340"}, {"ref": "seojinpark2001/eda-feat-engineering-encode-conquer-seojin", "kernel_id": "34801824"}, {"ref": "yannansu/catch-the-cats-explore-feature-engineering", "kernel_id": "34559487"}, {"ref": "juliasuzuki/getting-started-with-categorical-encoders", "kernel_id": "35650458"}, {"ref": "polljjaks/categorical-feature-encoding-challenge-improvement", "kernel_id": "35192053"}, {"ref": "junbokoh/cat-feat-encoding-eda", "kernel_id": "38175270"}, {"ref": "junbokoh/cat-in-the-dat-modeling-ridi", "kernel_id": "38509195"}, {"ref": "woohyeokkang/ch7-categorical-eda", "kernel_id": "38060769"}, {"ref": "woohyeokkang/ch7-categorical-modeling", "kernel_id": "38313700"}, {"ref": "ahmedashrafahmed/categorical-feature-encoding-challenge", "kernel_id": "38782891"}, {"ref": "actafool/js-eda", "kernel_id": "38158082"}, {"ref": "luging/luging-ch7-230507", "kernel_id": "38215190"}, {"ref": "luging/luging-ch7-230511", "kernel_id": "38401165"}, {"ref": "polljjaks/categorical-features-modeling", "kernel_id": "38465419"}, {"ref": "polljjaks/categorical-eda", "kernel_id": "38064400"}, {"ref": "seodonggan/cat-in-the-dat-categorical-encoding-notebook", "kernel_id": "39293002"}, {"ref": "sehyun1/2-categorical-feature-encoding", "kernel_id": "39161508"}, {"ref": "sudaltokki/logistic-regression", "kernel_id": "39626422"}, {"ref": "madonion/ch7-kaggle-competition-binary-classification", "kernel_id": "40658420"}, {"ref": "leemoodong/ch7-eda", "kernel_id": "41762863"}, {"ref": "leemoodong/ch7-baseline", "kernel_id": "41763003"}, {"ref": "leemoodong/ch7-modeling", "kernel_id": "41763104"}, {"ref": "leemoodong/ch7-modeling2", "kernel_id": "41763619"}, {"ref": "leemoodong/ch7-notebook", "kernel_id": "41763941"}, {"ref": "shathaalturke/categorical-feature-encoding", "kernel_id": "41638780"}, {"ref": "arunjangir245/ordinal-and-label-encoding", "kernel_id": "42394874"}, {"ref": "eslamfouad/statistics-of-features-encoding", "kernel_id": "43798304"}, {"ref": "sooyoungher/categorical-feature-encoding-challenge-7", "kernel_id": "43853040"}, {"ref": "woninyoung/ch7-baseline", "kernel_id": "44859508"}, {"ref": "kmh990303/19011695-ch7-3", "kernel_id": "44738949"}, {"ref": "cheminlim/wskjlwehihwir", "kernel_id": "44628692"}, {"ref": "seunghason/cat-in-dart-classification-score-0-80276", "kernel_id": "46960107"}, {"ref": "silverstreamcho/20240124", "kernel_id": "49920304"}, {"ref": "eugenecheong99/neural-network-practice-score-0-76303", "kernel_id": "51398474"}, {"ref": "jinkwonskk/eda-categorical-feature-encoding-challenge", "kernel_id": "52823946"}, {"ref": "jinkwonskk/logistic1-categorical-feature-encoding-challenge", "kernel_id": "52824627"}, {"ref": "rickyhouse/categorical-feature-encoding", "kernel_id": "52775908"}, {"ref": "rickyhouse/categorical-feature-encoding-hyperparmeter-optimiz", "kernel_id": "52832116"}, {"ref": "wintergyul/categorical-feature-encoding-challenge-7", "kernel_id": "53723979"}, {"ref": "jykchoi/ch7-eda-baseline", "kernel_id": "54065608"}, {"ref": "jiyunn/categorical-feature", "kernel_id": "54213450"}, {"ref": "amanaayush/categorical-encoding", "kernel_id": "54212928"}, {"ref": "dadonggoo/notebookc2058220c0", "kernel_id": "54204789"}, {"ref": "eunjinjang0016/ch7-notebook", "kernel_id": "54030466"}, {"ref": "eungichoi/choi-eun-gi", "kernel_id": "54661797"}, {"ref": "mtalhak/statistics-for-ml-data-analysis", "kernel_id": "56469760"}, {"ref": "icon001/notebook4471a572b5", "kernel_id": "58506828"}, {"ref": "icon001/categorical-feature-encoding-challenge", "kernel_id": "58334250"}, {"ref": "yuyuan1208/classical-case3-private-vs-public-uni", "kernel_id": "64324122"}, {"ref": "yooohj/notebook09368546b2", "kernel_id": "64416633"}, {"ref": "clubgnlab/ch7-notebook", "kernel_id": "64406647"}, {"ref": "sujiq9707/categorical-feature-encoding", "kernel_id": "64420790"}, {"ref": "ppr500t/moreperformed", "kernel_id": "64409413"}, {"ref": "dukrimpark/ch7-modeling-1", "kernel_id": "64415550"}, {"ref": "snehalkhandewale/cats-cats-cats", "kernel_id": "65594592"}, {"ref": "trispark/categorical-feature-encoding-challenge-modeling", "kernel_id": "65285430"}, {"ref": "trispark/categorical-feature-encoding-challenge-baseline", "kernel_id": "65284005"}, {"ref": "trispark/categorical-feature-encoding-challenge-eda", "kernel_id": "65271584"}, {"ref": "snehalkhandewale/cat-encode", "kernel_id": "66501303"}, {"ref": "sjjung3377/ch7-notebook-7-3", "kernel_id": "69581676"}, {"ref": "sjjung3377/ch7-notebook-7-5", "kernel_id": "69584325"}, {"ref": "sjjung3377/ch7-notebook-7-4", "kernel_id": "69548072"}, {"ref": "jorgeabaron/tecnicas-de-codificacion", "kernel_id": "72684679"}, {"ref": "beomseongkim/logistic-regression-0-8027", "kernel_id": "73501484"}, {"ref": "hensikavar/categorical-encoding", "kernel_id": "74819248"}, {"ref": "asifsaad/ail-part-2", "kernel_id": "75782018"}, {"ref": "azizp123/categorical-feature-encoding-challenge-short", "kernel_id": "79359532"}, {"ref": "kmingseo/2-categorical-feature-encoding-challenge", "kernel_id": "79428122"}, {"ref": "yelowfungi/performance-enhanced-modeling-for-categorical-data", "kernel_id": "89105324"}, {"ref": "sangseoseo/categoricalfeatureencodingeda", "kernel_id": "92486187"}, {"ref": "sangseoseo/categoricalfeaturebinaryclassifybaselinemode", "kernel_id": "92623453"}, {"ref": "sravani1828/cat-encodingm2", "kernel_id": "131943634"}]}
{"competition_id": "15010", "kernels": []}
{"competition_id": "15020", "kernels": []}
{"competition_id": "15021", "kernels": []}
{"competition_id": "15024", "kernels": [{"ref": "rspadim/teste-fiap-bigdata", "kernel_id": "4326635"}]}
{"competition_id": "15033", "kernels": []}
{"competition_id": "15039", "kernels": []}
{"competition_id": "15043", "kernels": [{"ref": "gowrishankarin/basic-eda-with-plotly-and-images", "kernel_id": "4801170"}, {"ref": "shivamanhar/oi-image-segmentation", "kernel_id": "4776546"}, {"ref": "saravanakumar123/goolge-instance-segmentation-with-sample-intro", "kernel_id": "4827746"}, {"ref": "gipark2001/instance-segmentation-kyung-ik", "kernel_id": "4794388"}, {"ref": "gipark2001/kernel47a54e8363", "kernel_id": "4794294"}, {"ref": "drn01z3/mmdet-to-submit", "kernel_id": "5827638"}, {"ref": "volody/threshold-segmentation", "kernel_id": "5248023"}, {"ref": "sumanthmeenan/open-images-instance-segmentation", "kernel_id": "5645839"}, {"ref": "anshuljdhingra/instance-segmentation", "kernel_id": "5295265"}, {"ref": "ankitgupta04/how-to-submit-prediction", "kernel_id": "5899099"}, {"ref": "iiyamaiiyama/how-to-submit-prediction", "kernel_id": "5248655"}, {"ref": "drobchak1988/competitions-open-images2019-instance-segmentation", "kernel_id": "5460358"}, {"ref": "sagar744/segmentaion", "kernel_id": "5808358"}, {"ref": "tanreinama/training-fasterrnn-in-pytorch", "kernel_id": "6010823"}, {"ref": "abhishekjha64/competitions-open-images2019-instance-segmentation", "kernel_id": "6083106"}, {"ref": "abhishekjha64/threshold-segmentation", "kernel_id": "6137421"}, {"ref": "elvinagammed/segmentation-metrics-object-detection", "kernel_id": "11598386"}, {"ref": "hajikgustianhidayat/nomor-2-a-threshold-segmentation", "kernel_id": "34515296"}, {"ref": "sudoshivam/segment-anything-model-sam-instance-segmentation", "kernel_id": "42219512"}, {"ref": "satyasavith/instance-segmentation", "kernel_id": "58532106"}]}
{"competition_id": "15046", "kernels": []}
{"competition_id": "15050", "kernels": []}
{"competition_id": "15057", "kernels": []}
{"competition_id": "15062", "kernels": [{"ref": "wendykan/gan-dogs-starter", "kernel_id": "4435480"}, {"ref": "wendykan/demo-mifid-metric-for-dog-image-generation-comp", "kernel_id": "4512728"}, {"ref": "titericz/ralsgan-dogs-vladislav-bakhteev-kernel", "kernel_id": "4570947"}, {"ref": "titericz/imitation-of-imitation-game", "kernel_id": "4575989"}, {"ref": "selfishgene/gmm-in-convolutional-autoencoder-space", "kernel_id": "4791724"}, {"ref": "johannl/sn-dcgan", "kernel_id": "4752617"}, {"ref": "ddrbcn/counting-bounding-boxes", "kernel_id": "4634749"}, {"ref": "smartsn123/gans-for-dog", "kernel_id": "4988938"}, {"ref": "super13579/dcgan-with-dog-generation-gif", "kernel_id": "4566682"}, {"ref": "francoisdubois/dcgan-keras", "kernel_id": "4597853"}, {"ref": "francoisdubois/bidirectionnal-gan-keras", "kernel_id": "4573621"}, {"ref": "francoisdubois/biggan-aaronleong-64", "kernel_id": "4674226"}, {"ref": "francoisdubois/ralsgan-dogs-improved-parameters", "kernel_id": "4631311"}, {"ref": "bitthal/understanding-input-data-and-loading-with-pytorch", "kernel_id": "4759286"}, {"ref": "yk1598/c-sagan-ignite", "kernel_id": "4930791"}, {"ref": "a11rand0m/memorizer-v1", "kernel_id": "4674790"}, {"ref": "artpro/vae-gan-hd", "kernel_id": "4704682"}, {"ref": "paulorzp/show-annotations-and-breeds", "kernel_id": "4617287"}, {"ref": "wrosinski/gan-hacks-ralsgan-again", "kernel_id": "4778919"}, {"ref": "quangbk/stylegan-dog-pytorch", "kernel_id": "4875797"}, {"ref": "saneryee/tensorflow2-0-dcgan", "kernel_id": "4944822"}, {"ref": "haataa/dcgan-first-try", "kernel_id": "4727666"}, {"ref": "artgor/dcgan-baseline", "kernel_id": "4566404"}, {"ref": "neonninja/keras-dcgan", "kernel_id": "4604703"}, {"ref": "yonatanmedan/my-try-on-implementing-vq-vae", "kernel_id": "4686329"}, {"ref": "mandar1010/gan-dogs", "kernel_id": "4759725"}, {"ref": "katotetsuro/stylegan-private-89", "kernel_id": "4995388"}, {"ref": "brandonyongys/generative-dogs-images-dcgan-tensorflow", "kernel_id": "4818640"}, {"ref": "gnespatel/kernelee8ccd7fa5", "kernel_id": "4908634"}, {"ref": "dgmchao/michaelson-test-2", "kernel_id": "4989757"}, {"ref": "agatan/sagan-resnet-annots", "kernel_id": "4621881"}, {"ref": "merckel/from-digits-to-overly-stylized-dogs", "kernel_id": "4991736"}, {"ref": "rsmits/keras-dcgan-with-weight-normalization", "kernel_id": "4959833"}, {"ref": "qinhui1999/fork-of-vq-vae2-0-for-dog-image-generation", "kernel_id": "4945377"}, {"ref": "grapestone5321/dcgan-basic-using-svhn", "kernel_id": "4728012"}, {"ref": "grapestone5321/semi-supervised-gan", "kernel_id": "4732319"}, {"ref": "grapestone5321/gan-basic-using-mnist", "kernel_id": "4714034"}, {"ref": "whizzkid/dcgan-on-cropped-dog-images", "kernel_id": "4622471"}, {"ref": "whizzkid/crop-images-using-bounding-box", "kernel_id": "4621288"}, {"ref": "yashmaxnet/gan-dog-image-generation", "kernel_id": "4647197"}, {"ref": "rhodiumbeng/crop-dog-images", "kernel_id": "4624917"}, {"ref": "rhodiumbeng/prepare-load-and-save-dog-images", "kernel_id": "4716551"}, {"ref": "eddididi/very-basic-gan-in-tensorflow", "kernel_id": "4628863"}, {"ref": "kpriyanshu256/pytorch-rals-c-sagan", "kernel_id": "4928489"}, {"ref": "kpriyanshu256/dogdcgan", "kernel_id": "4812578"}, {"ref": "atomichighfive/dog-factory", "kernel_id": "4635324"}, {"ref": "guillaumedesforges/usable-complete-data-loading-utility", "kernel_id": "4640834"}, {"ref": "guillaumedesforges/loading-the-cropped-dogs-seamlessly-with-pytorch", "kernel_id": "4628428"}, {"ref": "neoares/dogan", "kernel_id": "4934059"}, {"ref": "toshikazuwatanabe/keras-generative-dog-images", "kernel_id": "4764915"}, {"ref": "thanatoz/generating-dogs-with-dcgan", "kernel_id": "4626145"}, {"ref": "tanreinama/dcgan", "kernel_id": "4701059"}, {"ref": "mnpinto/gan-dogs-starter", "kernel_id": "4566508"}, {"ref": "tenffe/acgan-for-generating-dog-images", "kernel_id": "4667746"}, {"ref": "tenffe/dcgan-with-tensorflow", "kernel_id": "4651382"}, {"ref": "tenffe/dcgan-with-crop-image-by-tensorflow", "kernel_id": "4641794"}, {"ref": "tenffe/vq-vae2-0-for-dog-image-generation", "kernel_id": "4793833"}, {"ref": "tenffe/vqvae-for-dog-image-generation", "kernel_id": "4716830"}, {"ref": "kostyaatarik/take-a-look-at-all-these-lovely-puppies", "kernel_id": "4771269"}, {"ref": "kostyaatarik/dcgan1", "kernel_id": "4663639"}, {"ref": "shubham505/imitation-game-2f436a", "kernel_id": "4691417"}, {"ref": "shubham505/supervised-generative-dog-net", "kernel_id": "4653186"}, {"ref": "shubham505/imitation-game-step-by-step", "kernel_id": "4610287"}, {"ref": "mpalermo/remove-grideffect-on-generated-images", "kernel_id": "4755333"}, {"ref": "mpalermo/pytorch-rals-c-sagan", "kernel_id": "4867926"}, {"ref": "mohitduklan/storing-bounding-box-image-and-labels", "kernel_id": "4639646"}, {"ref": "mohitduklan/airlinepassengers-rnn", "kernel_id": "4654072"}, {"ref": "vaibhavmathur96/dog-memorizer-gan", "kernel_id": "4760469"}, {"ref": "techytushar/dog-dcgan", "kernel_id": "4912126"}, {"ref": "cdeotte/dog-autoencoder", "kernel_id": "4612241"}, {"ref": "cdeotte/supervised-generative-dog-net", "kernel_id": "4643385"}, {"ref": "cdeotte/dog-memorizer-gan", "kernel_id": "4665673"}, {"ref": "cdeotte/dog-breed-acgan-lb-52", "kernel_id": "4769828"}, {"ref": "witold1/quick-data-explanation-and-eda", "kernel_id": "4571262"}, {"ref": "cafeal/cropping-dog-faces-using-opencv", "kernel_id": "4995153"}, {"ref": "cmalla94/dcgan-generating-dog-images-with-tensorflow", "kernel_id": "4650166"}, {"ref": "yukia18/opencv-vs-pil-speed-comparisons-for-pytorch-user", "kernel_id": "4744354"}, {"ref": "zning1994/generative-dog-learning-and-joining-the-contest", "kernel_id": "4684695"}, {"ref": "shwetagoyal4/dcgan-using-pytorch", "kernel_id": "4574315"}, {"ref": "gossan/ct-gan-with-pytorch", "kernel_id": "4960733"}, {"ref": "roydatascience/introduction-to-generative-adversarial-networks", "kernel_id": "4677705"}, {"ref": "speedwagon/ram-dataloader", "kernel_id": "4570856"}, {"ref": "speedwagon/variational-autoencoder-dogs-generation", "kernel_id": "4574863"}, {"ref": "speedwagon/ralsgan-dogs", "kernel_id": "4567661"}, {"ref": "snakayama/simple-keras-dcgan-v1", "kernel_id": "4645861"}, {"ref": "snakayama/beginer-dcgan-lesson-using-pytorch", "kernel_id": "4825351"}, {"ref": "jobzhf88/generative-dog-images-dcgan-1-commit", "kernel_id": "4688661"}, {"ref": "jobzhf88/generative-dog-images-memorizer-gan-commit", "kernel_id": "4806996"}, {"ref": "jadeblue/dog-generator-starter-eda-preprocessing", "kernel_id": "4908788"}, {"ref": "sakami/ralsgan-dogs-cropping-random", "kernel_id": "4912871"}, {"ref": "sakami/mifid-evaluator-local-validation-framework", "kernel_id": "4590287"}, {"ref": "benru89/dog-dcgan", "kernel_id": "4695714"}, {"ref": "tikerlade/dogs-gan", "kernel_id": "4815403"}, {"ref": "felipefonte99/dcgan-with-comments-lb-47", "kernel_id": "4633626"}, {"ref": "phoenix9032/fastai-wgan-for-dog-image-generation", "kernel_id": "4620836"}, {"ref": "phoenix9032/simple-pytorch-wgan-div-for-dog-images", "kernel_id": "4699383"}, {"ref": "phoenix9032/gan-dogs-starter-24-jul-custom-layers", "kernel_id": "4965618"}, {"ref": "timetraveller98/memorizer-cgan-pytorch-version", "kernel_id": "4893700"}, {"ref": "jazivxt/imitation-game", "kernel_id": "4665741"}, {"ref": "risperbevalyn/dcgan", "kernel_id": "4719049"}, {"ref": "rajwardhanshinde/simple-dcgan-pytorch", "kernel_id": "4904937"}, {"ref": "jmcslk/pytorch-dcgan-doggo-generator", "kernel_id": "4659535"}, {"ref": "ilu000/public-leaderboard-cleaned", "kernel_id": "4627485"}, {"ref": "akashs2021/pytorch-beginner-code", "kernel_id": "4643103"}, {"ref": "arkachakraborty/kernel9a2386c710", "kernel_id": "4973373"}, {"ref": "jesucristo/private-lb-simulation-i", "kernel_id": "4862037"}, {"ref": "jesucristo/memorizer-cgan-for-dummies", "kernel_id": "4673940"}, {"ref": "jesucristo/introducing-dcgan-dogs-images", "kernel_id": "4581795"}, {"ref": "jesucristo/gan-introduction", "kernel_id": "4567495"}, {"ref": "jesucristo/animation-gan-latent-walk", "kernel_id": "4695501"}, {"ref": "eroswang/edited-dcgan-dogs-images", "kernel_id": "4836802"}, {"ref": "amanooo/wgan-gp-keras", "kernel_id": "4825760"}, {"ref": "amanooo/is-memorizer-gan-a-gan", "kernel_id": "4967760"}, {"ref": "nelly43/gan-dogs", "kernel_id": "4616578"}, {"ref": "takumiito/commented-imitation-game", "kernel_id": "4575537"}, {"ref": "mohanaditya1074/gan-implementation", "kernel_id": "4710882"}, {"ref": "j98527852/dog-gan", "kernel_id": "4728884"}, {"ref": "peraktong/20190719-toy-model", "kernel_id": "4902697"}, {"ref": "ibansalankit/doggo-dcgan", "kernel_id": "4855739"}, {"ref": "timdarcet/translated-commented-imitation-game", "kernel_id": "4641114"}, {"ref": "bandyopadhyay/new-dogs", "kernel_id": "4954326"}, {"ref": "mjbrophy/kernel0c000e26a9", "kernel_id": "4765088"}, {"ref": "vamcochen/kernele9c54ff2a3", "kernel_id": "4809492"}, {"ref": "mikeskim/gan-dogs-starter", "kernel_id": "5290621"}, {"ref": "selfishgene/gmm-in-cnn-ae-space-with-latent-aux-classifier", "kernel_id": "5253050"}, {"ref": "tarachand/dog-img-gen-wgan", "kernel_id": "5317409"}, {"ref": "andreisun/gan-dogs-starter-24-jul-custom-layers", "kernel_id": "5247081"}, {"ref": "markpeng/small-stylegan-v6-higher-lr-v4-final", "kernel_id": "5306561"}, {"ref": "johannl/sn-dcgan-style", "kernel_id": "5087780"}, {"ref": "super13579/ralsgan-dogs-resnet-cbn", "kernel_id": "5222921"}, {"ref": "dranzer/gan-baseline-v2-v4", "kernel_id": "5307015"}, {"ref": "dranzer/pixelshuffle-ralsgan", "kernel_id": "5156747"}, {"ref": "osamaaref/dcgan-keras", "kernel_id": "5150886"}, {"ref": "bitthal/dogs-gan-pixel", "kernel_id": "5289624"}, {"ref": "bitthal/rasl-dogs-gan-pixel", "kernel_id": "5300935"}, {"ref": "prasunroy/generative-dog-images-dcgan-pytorch", "kernel_id": "5159643"}, {"ref": "a11rand0m/optimize-threshold", "kernel_id": "5020394"}, {"ref": "artpro/kernele7c9368470", "kernel_id": "5001006"}, {"ref": "wrosinski/combining-gans", "kernel_id": "5101242"}, {"ref": "saneryee/memorizer-cgan-pytorch-version", "kernel_id": "5293497"}, {"ref": "purplejester/gan-xx-pgan-attempt", "kernel_id": "5275275"}, {"ref": "purplejester/gan-20-dcgan-avg", "kernel_id": "5267276"}, {"ref": "purplejester/good-old-dcgan-with-simple-tricks-lb-58", "kernel_id": "5332043"}, {"ref": "bestfitting/i96-crop-mode3-dstep1-1e-4-6e-4-bs32", "kernel_id": "5228718"}, {"ref": "bestfitting/i96-1e-4-6e-4-bs32-195", "kernel_id": "5212639"}, {"ref": "blackitten13/best-gan-fork", "kernel_id": "5269291"}, {"ref": "jpdurham/tensorflow-dcgan", "kernel_id": "5303177"}, {"ref": "iiiklw/ragan", "kernel_id": "5284912"}, {"ref": "joelhanson/dcgan-with-spectralnorm-dropout-avgpool", "kernel_id": "5237107"}, {"ref": "sorzhe/gan-custom-layers", "kernel_id": "5055121"}, {"ref": "lognat0704/real-gan-dog-face", "kernel_id": "5252524"}, {"ref": "rhodiumbeng/dog-images-dcgan", "kernel_id": "5251556"}, {"ref": "kgeorge/gan-training-full", "kernel_id": "5287121"}, {"ref": "returnofsputnik/gan-dogs-starter-24-jul-custom-layers", "kernel_id": "5049990"}, {"ref": "returnofsputnik/fork-of-fork-of-fork-of-fork-of-fork-of-fork-of-ac", "kernel_id": "5281344"}, {"ref": "returnofsputnik/fork-of-fork-of-acgan-by-pytorch", "kernel_id": "5271627"}, {"ref": "momi64/kernel-standardgan", "kernel_id": "5283287"}, {"ref": "chukurimu0903/dcgan-generating-dog-images-with-tensorflow", "kernel_id": "5248588"}, {"ref": "javiermzll/gan-keras-dog-generator", "kernel_id": "5029215"}, {"ref": "joek47/supervised-generative-dog-net", "kernel_id": "5239607"}, {"ref": "joek47/introduction-to-generative-adversarial-networks", "kernel_id": "5283223"}, {"ref": "tenffe/gan-dogs-starter-24-jul-custom-layers", "kernel_id": "5216736"}, {"ref": "tikutiku/gan-dogs-starter-biggan", "kernel_id": "5095747"}, {"ref": "saikalyan9981/trick-to-decrease-fid-58-to-50", "kernel_id": "5285684"}, {"ref": "conformal/ralsgan", "kernel_id": "5162412"}, {"ref": "conformal/dcgan", "kernel_id": "5062325"}, {"ref": "hirune924/public-lb-38-92350-solution", "kernel_id": "5312744"}, {"ref": "hirune924/public-lb-5-17518-solution-memorizer-cgan", "kernel_id": "5147737"}, {"ref": "hirune924/handmade-dog-annotation", "kernel_id": "5194236"}, {"ref": "cdeotte/big-gan-128-lb-12", "kernel_id": "5318000"}, {"ref": "thomashuang2018/fork-of-kernel122785459c", "kernel_id": "5292859"}, {"ref": "vitlinsh/dog-gan-baseline5-faces-center-crop-dropsm-wnorm", "kernel_id": "5300753"}, {"ref": "yukia18/sub-rals-biggan-with-auxiliary-classifier", "kernel_id": "5272778"}, {"ref": "yukia18/sub-rals-ac-biggan-with-minibatchstddev", "kernel_id": "5289387"}, {"ref": "yukia18/reproduction-private-2nd-kernel", "kernel_id": "5709352"}, {"ref": "roydatascience/dcgan-with-weight-normalization-final-submission", "kernel_id": "5261608"}, {"ref": "mightyrains/patchdogs-2x2", "kernel_id": "5295331"}, {"ref": "snakayama/lsgan-using-pytorch", "kernel_id": "5153309"}, {"ref": "yutateranishi/gan-dog-only", "kernel_id": "5236993"}, {"ref": "jobzhf88/generative-dog-images-dcgan-pytorch-commit", "kernel_id": "5171899"}, {"ref": "manyfoldcv/fork-of-fork-of-gan-dogs-hflip", "kernel_id": "5287734"}, {"ref": "theoviel/conditional-progan-30-public", "kernel_id": "5254177"}, {"ref": "jadeblue/dcgans-and-techniques-to-optimize-them", "kernel_id": "5397242"}, {"ref": "jadeblue/dogdcgan-v7-ksize-dropout-sub", "kernel_id": "5292730"}, {"ref": "jadeblue/dogdcgan-v6-ksize", "kernel_id": "5238415"}, {"ref": "jadeblue/dogdeepdcgan-with-spectralnorm-tf-keras", "kernel_id": "5053716"}, {"ref": "rektmeister/dcgan", "kernel_id": "5169424"}, {"ref": "kshen3778/gan-57-crop-nz128-crop-randomapply", "kernel_id": "5254795"}, {"ref": "timetraveller98/cgan-with-historical-weight-averaging", "kernel_id": "5299687"}, {"ref": "alvaroma/dcgan-lb-30-65", "kernel_id": "5308883"}, {"ref": "tianyuz/fork-gan-introduction", "kernel_id": "5260209"}, {"ref": "gipark2001/gan-introduction", "kernel_id": "5144095"}, {"ref": "gipark2001/supervised-generative-dog-net", "kernel_id": "5167171"}, {"ref": "khalidnass/spectral-norm-generative-dog-image-standard", "kernel_id": "5179960"}, {"ref": "asd336655/best-baseline", "kernel_id": "5117999"}, {"ref": "drobchak1988/generative-dog-images", "kernel_id": "5204505"}, {"ref": "drobchak1988/competition-generative-dog-images", "kernel_id": "5093954"}, {"ref": "gsakabe/fork-of-gan-dogs-starter-24-jul-custom-lay-61fc12", "kernel_id": "5204473"}, {"ref": "gsakabe/fork-of-fork-61-02", "kernel_id": "5303776"}, {"ref": "kuto0633/acgan-by-pytorch", "kernel_id": "5101103"}, {"ref": "birdash/big-gan-256-lb-15", "kernel_id": "5336710"}, {"ref": "tavoglc/classic-dog-imaginarium", "kernel_id": "5301429"}, {"ref": "sylvlej/gan-first-model", "kernel_id": "5123137"}, {"ref": "ishanamlekar/gan-bcelogitloss", "kernel_id": "5214002"}, {"ref": "shaygu/dogs-gan-starter-organized", "kernel_id": "5074575"}, {"ref": "shaygu/t3h-d0g-mak3rz-public-43-fid", "kernel_id": "5312424"}, {"ref": "suryatejaachanta/kernel9a8f95f699", "kernel_id": "5262546"}, {"ref": "leonshangguan/dcgan-data-cleaning-sub-v1", "kernel_id": "5207318"}, {"ref": "leonshangguan/dcgan-data-cleaning-sub-v2", "kernel_id": "5147948"}, {"ref": "nassimyagoub/simple-gan-dog-images", "kernel_id": "5229382"}, {"ref": "pplrayang/dcgan-large-batch", "kernel_id": "5283301"}, {"ref": "jackybored/kernel7f5daae71a", "kernel_id": "5203155"}, {"ref": "dvorobiev/doggies-biggan-sub-data-aug-3", "kernel_id": "5163153"}, {"ref": "dvorobiev/doggies-biggan-sub-final", "kernel_id": "5291871"}, {"ref": "hchaps/let-s-make-some-doggies-ralsgan", "kernel_id": "5086757"}, {"ref": "maxgarber/dogs-gan-keras-mg-v3", "kernel_id": "5215486"}, {"ref": "maxgarber/dogs-gan-keras-mg", "kernel_id": "5064898"}, {"ref": "matthiaspilz/fork96-0-00015-of-new-doggans-keras-r", "kernel_id": "5292817"}, {"ref": "lilanluo/wgan-gp", "kernel_id": "5083087"}, {"ref": "roshanalexwelikala/kernel58104786d5", "kernel_id": "5315694"}, {"ref": "vamcochen/kernelbc004572a6", "kernel_id": "5141728"}, {"ref": "sanjayjalex/dog-generator", "kernel_id": "5253014"}, {"ref": "sanjayjalex/ralsgan-dogs", "kernel_id": "5276255"}, {"ref": "waifuai/dcgan", "kernel_id": "5287608"}, {"ref": "waifuai/dcgan-with-tensorflow", "kernel_id": "5290045"}, {"ref": "waifuai/dcgan-1", "kernel_id": "5304422"}, {"ref": "waifuai/fork-of-keras-dcgan-with-weight-normalization", "kernel_id": "5309630"}, {"ref": "waifuai/gan-dogs-starter-24-jul-custom-layers", "kernel_id": "5309975"}, {"ref": "waifuai/dcgan-with-weight-normalization-final-submission", "kernel_id": "5315363"}, {"ref": "eddididi/dogfaker1-cae", "kernel_id": "6049816"}, {"ref": "tobiasleenders/gan-dogs", "kernel_id": "6864179"}, {"ref": "massimodg/kernel6107301872", "kernel_id": "6459912"}, {"ref": "econdata/ganadv", "kernel_id": "7911305"}, {"ref": "harishvutukuri/dcgan-dogs", "kernel_id": "7284564"}, {"ref": "darthgera/ralsgan-dogs", "kernel_id": "8794529"}, {"ref": "jimmyjhickey/wgan-gp-keras", "kernel_id": "9120091"}, {"ref": "shams3049/introduction-to-generative-adversarial-networks", "kernel_id": "9828155"}, {"ref": "nkrishnanl/introducing-dcgan-dogs-images", "kernel_id": "10378156"}, {"ref": "digvijayyadav/pokemon-generator-gans", "kernel_id": "10847628"}, {"ref": "chrismattmann/my-dog-trainer", "kernel_id": "11645674"}, {"ref": "ssfailearning/animal-gan", "kernel_id": "11650774"}, {"ref": "houssad/doggies-biggan-sub-data-aug-3", "kernel_id": "11833058"}, {"ref": "sourav6633/ucs742-lab2-sourav", "kernel_id": "12998690"}, {"ref": "arshdeepkawatra/notebook7e4c41a1f2", "kernel_id": "12982243"}, {"ref": "bawarohan/rohanbawa-101883060-coe16", "kernel_id": "12988317"}, {"ref": "stevemama/bigan-demo", "kernel_id": "12577188"}, {"ref": "kashishgautam/gan-101883051", "kernel_id": "12889966"}, {"ref": "anukritigarg13/101703087-lab-eval-coe4", "kernel_id": "12956648"}, {"ref": "nishantgoel195/101703376-nishantgoel", "kernel_id": "12912447"}, {"ref": "tanayagarwal08111999/notebook1787eec81b", "kernel_id": "12962159"}, {"ref": "vkhanduja/notebook2f07d322a1", "kernel_id": "12971713"}, {"ref": "shivamdrgb/ucs742-lab2-shivam", "kernel_id": "13110631"}, {"ref": "kbansal17/notebookcd5130248f", "kernel_id": "13112098"}, {"ref": "diljotwadia/doggan", "kernel_id": "13106503"}, {"ref": "anishmathewdev/vae-dog-images", "kernel_id": "13318873"}, {"ref": "joshuasouter/gan-dogs-starter-fork-with-256x256-images", "kernel_id": "14803009"}, {"ref": "dmitrysokolevskiy/vae-keras-generate-new-faces", "kernel_id": "14796890"}, {"ref": "aligsaoud/dog-image-generator", "kernel_id": "15576532"}, {"ref": "kad99kev/selfattention-pytorch", "kernel_id": "16054786"}, {"ref": "szuwenjiehuang/landscape-gan-generator", "kernel_id": "16967989"}, {"ref": "zhuochengyao/general-adversarial-network", "kernel_id": "18741831"}, {"ref": "anshalsingh/generating-anime-faces", "kernel_id": "18838775"}, {"ref": "hanminghu/gan01", "kernel_id": "18693588"}, {"ref": "lmyybh/pytorch-wgan-gp", "kernel_id": "20301212"}, {"ref": "lmyybh/pytorch-dcgan", "kernel_id": "20109756"}, {"ref": "just4jcgeorge/pytorch-dcgan", "kernel_id": "21522831"}, {"ref": "parmarsuraj99/fastai-wgan-for-dog-image-generation", "kernel_id": "22472154"}, {"ref": "parmarsuraj99/gan-dogs-starter-biggan", "kernel_id": "22693654"}, {"ref": "longng0611/ev-gan-now", "kernel_id": "23329142"}, {"ref": "habibmrad1983/introduction-to-generative-adversarial-networks", "kernel_id": "24741761"}, {"ref": "programmerytt/7689551", "kernel_id": "24550497"}, {"ref": "vaishnaviasonawane/dcgan", "kernel_id": "27784285"}, {"ref": "jamesstu/gan-introduction", "kernel_id": "27753629"}, {"ref": "guymcguy/arj-gan", "kernel_id": "29340963"}, {"ref": "k00b404/wgan-gp-keras", "kernel_id": "30477250"}, {"ref": "mattison/dog-images-gan", "kernel_id": "30554276"}, {"ref": "eyadahmed/gan-dogs-starter-biggan", "kernel_id": "32553952"}, {"ref": "phatds15/gan-introduction", "kernel_id": "33465131"}, {"ref": "david5453/fgvc-memorizer-gan", "kernel_id": "33561490"}, {"ref": "ssmugdho/ralsgan-dogs", "kernel_id": "34970597"}, {"ref": "thanhb1909984/wgan-gp-keras-ver2", "kernel_id": "34062367"}, {"ref": "erbibekksingh/notebook10e2aee575", "kernel_id": "35264691"}, {"ref": "remtezcan/notebooknew", "kernel_id": "35197828"}, {"ref": "laiscalderado/gan-introduction-5080e6", "kernel_id": "36443481"}, {"ref": "ananyasdhar/introduction-to-generative-adversarial-networks", "kernel_id": "36349755"}, {"ref": "ananyasdhar/gan-introduction", "kernel_id": "36316336"}, {"ref": "k00b404/wgan-gp-keras-hotwheels", "kernel_id": "37184652"}, {"ref": "deeptanshu111/big-gan-128-lb-12", "kernel_id": "37590453"}, {"ref": "kptriescoding/gan-kaggle", "kernel_id": "40935465"}, {"ref": "wolnest/supervised-generative-dog-net", "kernel_id": "44282385"}, {"ref": "yangxuezhi/memorizer-cgan-pytorch-version", "kernel_id": "44296426"}, {"ref": "akshitsharma1/generative-adversarial-networks-gan-in-one-shot", "kernel_id": "45652311"}, {"ref": "dsidharth/generating-dog-images-using-autoencoders", "kernel_id": "47891783"}, {"ref": "tfailakawii/gan-introduction", "kernel_id": "47663603"}, {"ref": "tfailakawii/gan-talal", "kernel_id": "47742287"}, {"ref": "ninacocea/sharks-autoencoder", "kernel_id": "49824548"}, {"ref": "mduvt21932982389923/hw3-autoencoder-hamsters", "kernel_id": "49704601"}, {"ref": "ggaryypeng/dog-generate-wasserstein-gan-with-gradient-penal", "kernel_id": "51909764"}, {"ref": "moyinajayi/general-adversarial-networks-images", "kernel_id": "55747993"}, {"ref": "abdelfettahelaanba/tensorflow-dcgan-withdgen", "kernel_id": "61589244"}, {"ref": "mbmlearner/dog-woof-bark-bark-arf", "kernel_id": "62233510"}, {"ref": "gvking/generative-dog-images", "kernel_id": "63891089"}, {"ref": "pranaydeepkorada/dog-memorizer-gan", "kernel_id": "69850674"}, {"ref": "ahmedhassanibrahim/dcgan-using-pytorch", "kernel_id": "73345363"}, {"ref": "akhilpm1996/image-segmentation-u-net-implementation", "kernel_id": "73343221"}, {"ref": "lukadarsalia/generative-dog-images", "kernel_id": "74449173"}, {"ref": "kipshidze/modern-gan-introduction", "kernel_id": "74289186"}, {"ref": "siddhant1312/introducing-dcgan-dogs-images", "kernel_id": "82001357"}, {"ref": "chandomain/pytorch-dcgan-anime-faces", "kernel_id": "85569589"}, {"ref": "ruhul20/gan-dogs-generate-pytorch", "kernel_id": "98294369"}, {"ref": "ruhul20/gan-fake-dogs-generate-pytorch", "kernel_id": "98300252"}, {"ref": "shrivyas/gan-introduction", "kernel_id": "116966931"}, {"ref": "joymietalicuad/demo-mifid-metric-for-dog-image-generation-comp", "kernel_id": "131176750"}]}
{"competition_id": "15068", "kernels": [{"ref": "kmader/scan-overview", "kernel_id": "4424319"}, {"ref": "kmader/mri-radiomics-overview", "kernel_id": "4488500"}, {"ref": "kmader/mri-age-using-brightness", "kernel_id": "4481150"}, {"ref": "kmader/mri-age-using-intensity-distribution", "kernel_id": "4482732"}, {"ref": "kmader/mri-age-using-radiomics", "kernel_id": "4482941"}, {"ref": "kmader/introduction-to-texture-analysis", "kernel_id": "4545758"}, {"ref": "kmader/mri-age-using-3d-cnns", "kernel_id": "4545966"}, {"ref": "kmader/mri-age-using-threshold-volume", "kernel_id": "4548602"}, {"ref": "taylorcuffie/introduction-to-texture-analysis", "kernel_id": "47363352"}]}
{"competition_id": "15079", "kernels": []}
{"competition_id": "15082", "kernels": []}
{"competition_id": "15088", "kernels": [{"ref": "mountaga/job-salary-prediction-lkm", "kernel_id": "13563844"}]}
{"competition_id": "15089", "kernels": []}
{"competition_id": "15102", "kernels": []}
{"competition_id": "15105", "kernels": [{"ref": "andreytlt13/inventaledsteamsubscription", "kernel_id": "8567419"}, {"ref": "mlogrenci/term-deposit", "kernel_id": "32856434"}]}
{"competition_id": "15113", "kernels": []}
{"competition_id": "15120", "kernels": [{"ref": "chandanpanda2006/neural-network-example-session-11", "kernel_id": "4621940"}, {"ref": "chandanpanda2006/xgb-starter", "kernel_id": "4521864"}, {"ref": "bhandari10k/adversarial-validation", "kernel_id": "4590046"}, {"ref": "bhandari10k/neural-network-starter-code", "kernel_id": "4574084"}, {"ref": "ignotus09/house-price-prediction", "kernel_id": "4608303"}]}
{"competition_id": "15128", "kernels": [{"ref": "nickel/benchmark", "kernel_id": "4801302"}, {"ref": "pabloa/benchmark-comentado-tu-primera-presentaci-n", "kernel_id": "4864019"}, {"ref": "facundobravo/galicia-modelo", "kernel_id": "4872073"}, {"ref": "nickel/cv-benchmark", "kernel_id": "5257225"}, {"ref": "nickel/rnn-benchmark-2", "kernel_id": "5134753"}, {"ref": "nickel/rnn-benchmark", "kernel_id": "5131261"}, {"ref": "guidotrucco/approach-por-ventanas-de-tiempo", "kernel_id": "5836708"}, {"ref": "trujillorj/feature-selection", "kernel_id": "5374122"}, {"ref": "laionz/xgboost-ridge-regression-0-83", "kernel_id": "5245845"}, {"ref": "aaraneo/secuencia-embedding-convolucion", "kernel_id": "6008436"}, {"ref": "fabiancr/creacion-de-features-adicionales", "kernel_id": "7838187"}]}
{"competition_id": "15130", "kernels": []}
{"competition_id": "15142", "kernels": [{"ref": "rahulvarma9595/oracle-challenge", "kernel_id": "4613807"}]}
{"competition_id": "15153", "kernels": []}
{"competition_id": "15155", "kernels": []}
{"competition_id": "15157", "kernels": []}
{"competition_id": "15165", "kernels": [{"ref": "madibai/kernel828b482176", "kernel_id": "4673752"}, {"ref": "sifonsoul/pph-data", "kernel_id": "12900623"}]}
{"competition_id": "15171", "kernels": []}
{"competition_id": "15173", "kernels": [{"ref": "tonygu/5-fold-cv-for-lightgbm", "kernel_id": "5077885"}]}
{"competition_id": "15177", "kernels": []}
{"competition_id": "15178", "kernels": []}
{"competition_id": "15179", "kernels": []}
{"competition_id": "15183", "kernels": []}
{"competition_id": "15193", "kernels": []}
{"competition_id": "15207", "kernels": []}
{"competition_id": "15208", "kernels": []}
{"competition_id": "15209", "kernels": [{"ref": "infernop/simple-churn-prediction", "kernel_id": "4672916"}]}
{"competition_id": "15214", "kernels": []}
{"competition_id": "15217", "kernels": []}
{"competition_id": "15218", "kernels": []}
{"competition_id": "15234", "kernels": []}
{"competition_id": "15243", "kernels": []}
{"competition_id": "15274", "kernels": []}
{"competition_id": "15277", "kernels": []}
{"competition_id": "15279", "kernels": []}
{"competition_id": "15281", "kernels": []}
{"competition_id": "15282", "kernels": [{"ref": "yellowduck/baseline-in-pytorch", "kernel_id": "4783325"}, {"ref": "ateplyuk/keras-baseline", "kernel_id": "4827400"}, {"ref": "vbogach/no-training-at-all", "kernel_id": "4925738"}, {"ref": "davidmsu/baseline-in-pytorch", "kernel_id": "4808009"}, {"ref": "brendelvadim/true-keras-with-detected-plates", "kernel_id": "5176068"}, {"ref": "heyhey7/baseline-in-pytorch", "kernel_id": "5192677"}, {"ref": "col14m/mykeras", "kernel_id": "5155771"}, {"ref": "tvenke/baseline-in-pytorch", "kernel_id": "5897436"}, {"ref": "senya97/visualization", "kernel_id": "5173528"}, {"ref": "arnaud58/competition-plates", "kernel_id": "5825258"}, {"ref": "andrewkovalski/super-augmentation", "kernel_id": "5828752"}, {"ref": "hanjoonchoe/cleaned-dirty-binary-classification-with-pytorch", "kernel_id": "6927104"}, {"ref": "l1ttl3s1st3r/baseline-in-pytorch", "kernel_id": "6305553"}, {"ref": "alexandervinogradov/2019-11-02-examofoctober", "kernel_id": "6447975"}, {"ref": "yuriytammeoya/kernel2d848f9d7e", "kernel_id": "6477636"}, {"ref": "murat1957/baseline-in-pytorch", "kernel_id": "6918968"}, {"ref": "yefimzholobov/baseline-in-pytorch", "kernel_id": "6946190"}, {"ref": "firefly233/pytorch-albumentations-baseline", "kernel_id": "7669267"}, {"ref": "vanster/semi-supervised", "kernel_id": "7685916"}, {"ref": "misakrug/baseline-in-pytorch", "kernel_id": "7748556"}, {"ref": "mcrussianaa/baseline-in-pytorch", "kernel_id": "7706446"}, {"ref": "pialla86/keras-80", "kernel_id": "7392649"}, {"ref": "catherineskv/transfer-learning-using-pytorch-vgg16-0-913", "kernel_id": "8784834"}, {"ref": "vaibhavsxn/classification-using-tf2", "kernel_id": "8057498"}, {"ref": "alex478/baseline-in-pytorch", "kernel_id": "8134784"}, {"ref": "vladsamarov/prediction-analysis-cleaned-vs-dirty-v2", "kernel_id": "8197155"}, {"ref": "hornar/plates-in-pytorch", "kernel_id": "9850685"}, {"ref": "nvolkova/baseline-in-pytorch-b2cbc6", "kernel_id": "9337907"}, {"ref": "sergeiboltovskii/baseline-in-pytorch", "kernel_id": "9601626"}, {"ref": "nikitahummel/trying-into-plates", "kernel_id": "9959603"}, {"ref": "egorovalexeyd/own-full-trained-network", "kernel_id": "9417159"}, {"ref": "gazizsattarov/baseline-in-pytorch-d33fb6", "kernel_id": "9402976"}, {"ref": "natashajmailova/baseline-in-pytorch", "kernel_id": "9025963"}, {"ref": "mksaad/clean-vs-dirty-keras-data-augmentation", "kernel_id": "10833109"}, {"ref": "mksaad/plates-images-classification-cnn-keras", "kernel_id": "10811937"}, {"ref": "mksaad/fork-of-plates-images-classification-inceptionv3", "kernel_id": "10497500"}, {"ref": "mksaad/plates-images-classification-mobilenetv2", "kernel_id": "10475709"}, {"ref": "malahai/resnet34-90-epoch", "kernel_id": "10288939"}, {"ref": "israakhalil/cleaned-vs-dirty-cnn", "kernel_id": "10833079"}, {"ref": "ahmedalghaliz/clean-and-dirty-dishes", "kernel_id": "10844851"}, {"ref": "lenarsaitov/develop-vgg-13-cleaned-vs-dirty", "kernel_id": "10961715"}, {"ref": "theshadow0197/baseline-in-pytorch-6eb6fb", "kernel_id": "10360120"}, {"ref": "fatimaafifi/cleaned-vs-dirty-v2-with-pretrained-convnet", "kernel_id": "10886901"}, {"ref": "nihalhaboush/cleaned-vs-dirty-v2-pre-trained-mobilenet-v2", "kernel_id": "10898174"}, {"ref": "doaajaber/cleaned-vs-dirty-v2", "kernel_id": "10833054"}, {"ref": "doaajaber/plates-images-classification-mobilenetv2", "kernel_id": "10909958"}, {"ref": "fayrouzfarra/clean-vs-dirty-keras-data-augmentatio", "kernel_id": "10833096"}, {"ref": "fayrouzfarra/clean-vs-dirty-inceptionresnetv-pre-trained-mode", "kernel_id": "10907854"}, {"ref": "nahedalsharif/cleaned-vs-dirty-v2", "kernel_id": "10833105"}, {"ref": "razanabudagen/c-d-plates-mobilenetv2", "kernel_id": "10907658"}, {"ref": "asiaahmedabushawish/cleaned-vs-dirty-images-classification-mobilenetv2", "kernel_id": "10907319"}, {"ref": "asiaahmedabushawish/cleaned-vs-dirty-keras-data-augmentation", "kernel_id": "10833075"}, {"ref": "asiaahmedabushawish/kernel6fa36fee27", "kernel_id": "10915227"}, {"ref": "abdalazez/cleaned-vs-dirty-v2-keras", "kernel_id": "10841028"}, {"ref": "mahmoudalhallaq/cleaned-and-dirty-mahmoud", "kernel_id": "10908939"}, {"ref": "mohgsam/cleaned-vs-dirty-v2", "kernel_id": "10858516"}, {"ref": "ahmedmurad1990/baseline-in-pytorch", "kernel_id": "10852136"}, {"ref": "ahmedmurad1990/cleaned-vs-dirty-v2", "kernel_id": "10852138"}, {"ref": "ahmedmurad1990/true-keras-with-detected-plates", "kernel_id": "10863458"}, {"ref": "engnadersarsour/clean-vs-dirty-plate-competition", "kernel_id": "10856798"}, {"ref": "maimahdi/classifyingplates", "kernel_id": "10857792"}, {"ref": "maimahdi/cleanvsdirty", "kernel_id": "10908339"}, {"ref": "fathialasali/clean-vs-dirty-compe", "kernel_id": "11225953"}, {"ref": "nahedalsharif/clean-vs-dirty", "kernel_id": "11049650"}, {"ref": "nahedalsharif/clean-vs-dirty-ince-resnet-v2", "kernel_id": "11058524"}, {"ref": "nahedalsharif/clean-vs-dirty-keras-data-augmentation", "kernel_id": "11055208"}, {"ref": "kareemaburejila/clean-vs-dirty-with-cnn", "kernel_id": "11184455"}, {"ref": "raghadjaber/cleaned-vs-dirty", "kernel_id": "11212252"}, {"ref": "mohammedkuheil/clean-vs-dirty", "kernel_id": "11161332"}, {"ref": "mohammedkuheil/draft-cleaned-dirty", "kernel_id": "11207448"}, {"ref": "mohammedkuheil/cleaned-vs-dirty-with-keras", "kernel_id": "11211453"}, {"ref": "octoded/baseline-in-pytorch", "kernel_id": "11474682"}, {"ref": "xelav7/pytorch-lightning-resnet152", "kernel_id": "12117524"}, {"ref": "alexcei/baseline-in-fast-ai-cleaned-vs-dirty-v2", "kernel_id": "12686160"}, {"ref": "zhidkovala/baseline-in-pytorch", "kernel_id": "12662274"}, {"ref": "alexeyafanasev/baseline-res50-transforms-new-layers", "kernel_id": "12336407"}, {"ref": "varvaraabramova/notebook6ac3f0694f", "kernel_id": "12827467"}, {"ref": "lashamaev/cleanedplates", "kernel_id": "13441315"}, {"ref": "aleron751/strong-baseline-in-pytorch-with-vgg", "kernel_id": "13828895"}, {"ref": "bulatvakhitov/comparing-resnets-and-mobilenet-v2", "kernel_id": "13380009"}, {"ref": "svyatoslavsokolov/cleaned-vs-dirty", "kernel_id": "14160806"}, {"ref": "samandaryokubov/baseline-in-pytorch", "kernel_id": "14224942"}, {"ref": "kasatkinvl/pytorch-cleaned-vs-dirty", "kernel_id": "15232588"}, {"ref": "korjmorj/clean-plate-society-opencv-trick", "kernel_id": "15927168"}, {"ref": "alekseikaravaev/cleaned-and-dirty-v2", "kernel_id": "15361646"}, {"ref": "mikel124/baseline-in-pytorch-mikel124", "kernel_id": "15491485"}, {"ref": "nadezhdag/baseline-in-pytorch", "kernel_id": "16630568"}, {"ref": "sohas0/baseline-in-pytorch-sohas", "kernel_id": "16970271"}, {"ref": "jaremy/cleaned-vs-dirty", "kernel_id": "18002248"}, {"ref": "maximefremov/cleaned-and-dirty-acc-91", "kernel_id": "19235152"}, {"ref": "iwasou/cleaned-vs-dirty-v2-separate-data-score-0-934", "kernel_id": "20888935"}, {"ref": "iwasou/cleaned-vs-dirty-v2-score-0-932", "kernel_id": "20701521"}, {"ref": "aleron751/simple-baseline-in-pytorch", "kernel_id": "22875931"}, {"ref": "leo45890/tf-transferlearning-backgroundremoval-resnet152", "kernel_id": "22843256"}, {"ref": "antonmikhalev/baseline-in-pytorch", "kernel_id": "22702846"}, {"ref": "flezzer/baseline-in-pytorch", "kernel_id": "22654485"}, {"ref": "todoname/baseline-in-pytorch", "kernel_id": "22884713"}, {"ref": "gordey007/samsung-course-from-stepik", "kernel_id": "23094874"}, {"ref": "ivanburimskii/cmc-msu", "kernel_id": "23654632"}, {"ref": "emilgimranov/gimranov-e-i-cleaned-vs-dirty-v2-in-pytorch", "kernel_id": "23527327"}, {"ref": "maximsviridenko/plates-classification", "kernel_id": "23545029"}, {"ref": "jerattcmc/cmc241-plates", "kernel_id": "23877208"}, {"ref": "ravasiliev/baseline-in-pytorch", "kernel_id": "24005735"}, {"ref": "midnightranger/plates-classificator", "kernel_id": "24218357"}, {"ref": "safronovna/stepik", "kernel_id": "26156527"}, {"ref": "alexey95/dish-cleanliness-classifier-torch-resnet", "kernel_id": "27482419"}, {"ref": "tgslash/cleaned-vs-dirty-plates", "kernel_id": "28849080"}, {"ref": "timofeymoiseev/plates", "kernel_id": "28117871"}, {"ref": "neontoothpaste/plate-cropping-implementation", "kernel_id": "28365139"}, {"ref": "neontoothpaste/plate-cropping", "kernel_id": "28799189"}, {"ref": "jerry314/baseline-in-pytorch", "kernel_id": "29490851"}, {"ref": "mikhailkosov/cleaned-vs-dirty-pytorch-kosov", "kernel_id": "29777972"}, {"ref": "virusz88/cleaned-vs-dirty", "kernel_id": "29781902"}, {"ref": "nataliaerukhimova/plates", "kernel_id": "29022008"}, {"ref": "kuzinmaxim/cleanvsdirty", "kernel_id": "30412427"}, {"ref": "reisecat/clean-vs-dirty-simple-pipeline-score-0-95026", "kernel_id": "31566388"}, {"ref": "alekseyschukin/cleaned-dirty", "kernel_id": "31695333"}, {"ref": "art1st/clean-vs-dirty-simple-pipeline", "kernel_id": "32038069"}, {"ref": "dmitryer/aug-reg-resn18", "kernel_id": "32184755"}, {"ref": "gerberka/cleaned-vs-dirty-train", "kernel_id": "33586933"}, {"ref": "artemgordienko/cleaned-vs-dirty-v2", "kernel_id": "33977948"}, {"ref": "andreimalygin/notebook0e5281182d", "kernel_id": "33837070"}, {"ref": "shazy021/pytorch-lightning-baseline-data-without-bg", "kernel_id": "33477645"}, {"ref": "anslava/plates", "kernel_id": "33443815"}, {"ref": "kristinazavyalova/cleaned-vs-dirty-v2-5527a9", "kernel_id": "33776007"}, {"ref": "mikhailbarakovskiy/cleaned-vs-dirty-v2", "kernel_id": "34018958"}, {"ref": "strang1k/pytorch-lightning-rn26d-data-without-bg", "kernel_id": "34613041"}, {"ref": "anyyaaaiiii/cleaned-vs-dirty-v2-bd79e8", "kernel_id": "34147645"}, {"ref": "safreliy/safreliy-solution", "kernel_id": "37549798"}, {"ref": "alekseypyton2022/plates-vs-transforms", "kernel_id": "38833845"}, {"ref": "stepantikhonov/cleaned-vs-dirty-v2", "kernel_id": "40099275"}, {"ref": "chiamakachukwuka/8-9-2023", "kernel_id": "41941254"}, {"ref": "mikhailnaumov/clear-vs-dirty-image-classification", "kernel_id": "44823740"}, {"ref": "wladislovesergeenko/baseline-in-pytorch", "kernel_id": "45600260"}, {"ref": "maxise/classification-with-dinov2", "kernel_id": "46692121"}, {"ref": "qwerty29544/pytorch-baseline", "kernel_id": "46512595"}, {"ref": "sp3ch3/pytorch-baseline", "kernel_id": "46612332"}, {"ref": "egorbrazh/pytorch-baseline", "kernel_id": "46570525"}, {"ref": "sunzhongao/classification-with-dinov2", "kernel_id": "47605842"}, {"ref": "haideraqeeb/tensorflow-cleaned-vs-dirty", "kernel_id": "47337353"}, {"ref": "gonetsartem/transfer-learning", "kernel_id": "47890468"}, {"ref": "hollowcain/plates-classification", "kernel_id": "48450440"}, {"ref": "proxod3/hw2-cleaned-vs-dirty-v2", "kernel_id": "48216298"}, {"ref": "alexeyuseroptimum/cleaned-vs-dirty-train", "kernel_id": "49091014"}, {"ref": "alexeyuseroptimum/cleaned-vs-dirty-predict", "kernel_id": "49107313"}, {"ref": "tdanilv/cleaned-vs-dirty-train", "kernel_id": "49146650"}, {"ref": "kolinichenkoa/cleaned-vs-dirty-train", "kernel_id": "49478704"}, {"ref": "ninaprokopova/13-01-2024", "kernel_id": "49251220"}, {"ref": "stancer/plates-classification", "kernel_id": "52019843"}, {"ref": "wideino/cvd-plates", "kernel_id": "52039294"}, {"ref": "vladislavstein/cleanordirty-stepik", "kernel_id": "52051188"}, {"ref": "l112ku/cleaned-vs-dirty", "kernel_id": "54844560"}, {"ref": "matveevaanna/baseline-in-pytorch", "kernel_id": "54368439"}, {"ref": "ksnkhm/keras-resnet152-removed-bg", "kernel_id": "56257732"}, {"ref": "ksnkhm/pytorch-resnet152-removed-bg", "kernel_id": "56337020"}, {"ref": "sddmitri/resnet18", "kernel_id": "56157079"}, {"ref": "stpeteishii/dirty-plates-pytorch-lightning-cnn", "kernel_id": "58380159"}, {"ref": "abdullatifkaban/cleaned-vs-dirty-v2", "kernel_id": "58210693"}, {"ref": "engamohammed/clean-vs-dirty", "kernel_id": "58925145"}, {"ref": "tahirc1/yolo-classification-train-cleanvsdirtyv2", "kernel_id": "58888452"}, {"ref": "yuwen9899he/cleaned-vs-dirty-v2", "kernel_id": "58962049"}, {"ref": "ginoasuncion/clean-vs-dirty-resnet152", "kernel_id": "59263411"}, {"ref": "sutthikankritjanarat/baseline-in-pytorch", "kernel_id": "59370595"}, {"ref": "plukio/hingeloss-with-pair-of-images", "kernel_id": "59173861"}, {"ref": "himanshuydv11/clean-or-dirty-plates", "kernel_id": "59562810"}, {"ref": "vishalyginny/cleaned-vs-dirty-v2", "kernel_id": "59643453"}, {"ref": "asif10018/cleanvsdirtyasif", "kernel_id": "60427944"}, {"ref": "hikmetdevlet/7-cnn-cleaned-vs-dirty-v2", "kernel_id": "60792538"}, {"ref": "lucasza/resnet152", "kernel_id": "60260579"}, {"ref": "shreyassatre/cnn-clean-vs-dirty", "kernel_id": "60980727"}, {"ref": "shreyassatre/cleanvdirty-plates-classifier", "kernel_id": "60937042"}, {"ref": "ruchikarani/cleaned-vs-dirty-v2-classification", "kernel_id": "60295732"}, {"ref": "nilotpalmaitra/cleaned-vs-dirty-2", "kernel_id": "60981969"}, {"ref": "vimrek/vision-transformers-test", "kernel_id": "61890384"}, {"ref": "jansotysik/resnet-fine-tunning-using-flax", "kernel_id": "61906705"}, {"ref": "srisougandhika/classifying-dirty-and-clean-plates", "kernel_id": "61414320"}, {"ref": "jansotysik/zero-shot-prediction-using-vqa", "kernel_id": "62028951"}, {"ref": "muhammadmagistra/cleaned-vs-dirty-pytorch-with-resnet", "kernel_id": "62010149"}, {"ref": "albertadiwangsyah/clean-vs-dirty-prediction-v2", "kernel_id": "62565316"}, {"ref": "chrisstarsky/plate-classfy", "kernel_id": "62745272"}, {"ref": "kautilyakatariya/cleaned-vs-dirty", "kernel_id": "63162822"}, {"ref": "egorandreasyan/pytorch-cleaned-vs-dirty-v2", "kernel_id": "63423860"}, {"ref": "mariaaouani/cleanvsdirty-version-2", "kernel_id": "63960114"}, {"ref": "eslamyasser1/cleaned-vs-dirty-v2", "kernel_id": "64527549"}, {"ref": "eslamyasser1/cleaned-vs-dirty-v2-1", "kernel_id": "64525921"}, {"ref": "milicaradisavljevic/kaggle-competition-cleaned-vs-dirty-v2", "kernel_id": "64821400"}, {"ref": "fedorkaltiugin/cleaned-vs-dirty", "kernel_id": "64191888"}, {"ref": "sillankumar/clean-vs-dirty-plate-img-data", "kernel_id": "65473181"}, {"ref": "talhatursun/cleaned-vs-dirty-v2", "kernel_id": "67812504"}, {"ref": "anmatngu/clean-or-dirty-plate-classification-with-vgg-16", "kernel_id": "69855763"}, {"ref": "alokkumar175358/dirty-vs-clean-plates", "kernel_id": "69039617"}, {"ref": "sureshkumartram/notebook7c235ca732", "kernel_id": "70862556"}, {"ref": "trira64/cleaned-and-dirty-pytorch-traind-and-optimizing", "kernel_id": "71866602"}, {"ref": "bedirhanuygun/cleaned-and-dirty-pytorch-traind-and-optimizing", "kernel_id": "71269557"}, {"ref": "evgenypishnyuk/pytorch-lightning-resnet18", "kernel_id": "71203755"}, {"ref": "hirotakaabe/cleanvsdirty-yolov8", "kernel_id": "71364273"}, {"ref": "khushbukakdiya/cleaned-vs-dirty", "kernel_id": "71717386"}, {"ref": "salihanur/proje-11", "kernel_id": "71929373"}, {"ref": "nawazhaider/resnet50-cleaned-vs-dirty-v2", "kernel_id": "72115174"}, {"ref": "markovgerman/410809", "kernel_id": "72631854"}, {"ref": "olegerofeev/cleaned-vs-dirty-v2-pytorch-vit", "kernel_id": "72689508"}, {"ref": "santhankarnala/plates-1", "kernel_id": "72195485"}, {"ref": "sachin023/plates-dirty-vs-cleaned-cnn", "kernel_id": "72076095"}, {"ref": "felixwang1002/hw2-clean-vs-dirty", "kernel_id": "73758019"}, {"ref": "st418x/hugging-face-vit", "kernel_id": "73475980"}, {"ref": "vladislavshulgin/cleaned-vs-dirty", "kernel_id": "73195211"}, {"ref": "ian028/lab-cnn", "kernel_id": "73684855"}, {"ref": "dallenyu/113552020lab2", "kernel_id": "73849189"}, {"ref": "pneu910820/simple-cnn", "kernel_id": "73821914"}, {"ref": "amrshaarawy/cleaned-vs-dirty-classification-using-yolo11", "kernel_id": "74301456"}, {"ref": "marialisachenko/403-410809", "kernel_id": "74049868"}, {"ref": "marialisachenko/410809-cleanedvsdirty-predict", "kernel_id": "74238293"}, {"ref": "marialisachenko/cleaned-vs-dirty-train-9946e3", "kernel_id": "74233397"}, {"ref": "sinitsynalexander/cleaned-vs-dirty-train-v1", "kernel_id": "74523368"}, {"ref": "ivanovstas/cleaned-vs-dirty-train", "kernel_id": "74293291"}, {"ref": "fdavidsantillan/cleaned-vs-dirty-v2-submit", "kernel_id": "74278244"}, {"ref": "tegarharisdd/cleaned-vs-dirty-resnet50-and-svm", "kernel_id": "74460098"}, {"ref": "mxmbgl/baseline-in-pytorch", "kernel_id": "75474267"}, {"ref": "daidai0412/improving-image-classification-accuracy-with-data", "kernel_id": "75847578"}, {"ref": "manelderrouaz/cleaned-vs-dirty-dishs-classification-tensorflow", "kernel_id": "76839174"}, {"ref": "aniruddhmubayi/submission-csv", "kernel_id": "76991010"}, {"ref": "shuqipro/vgg16-clean-or-dirty", "kernel_id": "76262361"}, {"ref": "rajj01/wow-this-one-is-shining-huh-that-one-is-smudged", "kernel_id": "76648658"}, {"ref": "untitled2/dirty-clean-v2-torch-transfer-learning", "kernel_id": "77078796"}, {"ref": "mustafacivici/cleandirtyestimation-pytorch-resnet", "kernel_id": "77511760"}, {"ref": "urjjj0909/dinov2-classification", "kernel_id": "78610837"}, {"ref": "abdallaellaithy/99-9-accuracy-clean-vs-dirty-plates", "kernel_id": "78710331"}, {"ref": "yousefzaghloul/using-clib", "kernel_id": "78463888"}, {"ref": "ashishk1331/clean-and-dirty-dishes", "kernel_id": "78056838"}, {"ref": "abdallah11/platesense-clean-vs-dirty", "kernel_id": "78203996"}, {"ref": "sepehr21ar/cleaned-vs-dirty-v2", "kernel_id": "78732525"}, {"ref": "egorlihverov/dirty-plates-detector-test-data-leak", "kernel_id": "79215262"}, {"ref": "laicheukfung/dish-cleanliness-classifier-resnet18", "kernel_id": "79449134"}, {"ref": "alexandrskvorzov/urfu-datascience-plates", "kernel_id": "79983165"}, {"ref": "elchanalijev/notebook27ca3ce229", "kernel_id": "79376200"}, {"ref": "soleil31/cleaned-vs-dirty-v2", "kernel_id": "80431863"}, {"ref": "yurgenveb/dirty-vs-cleaned-with-yolo-detect-and-embedder", "kernel_id": "80783997"}, {"ref": "urjjj0909/dinov2-dense-matching", "kernel_id": "81679639"}, {"ref": "antonoof/cleaned-vs-dirty-pytorch-ssl", "kernel_id": "81064474"}, {"ref": "russianproger/notebookdcd1168402", "kernel_id": "81284119"}, {"ref": "dmitry1313/notebookd7a1662dcb", "kernel_id": "81440298"}, {"ref": "niharika0905/platesclassificationusingresnet18", "kernel_id": "81607930"}, {"ref": "stainlao/cleaned-vs-dirty", "kernel_id": "82418888"}, {"ref": "lele25811/cleaned-vs-dirty-v2", "kernel_id": "82771725"}, {"ref": "robertozanaboni/notebook8429023f18", "kernel_id": "83361185"}, {"ref": "pradeeplachireddy/clean-dirty-plates-classification", "kernel_id": "83640155"}, {"ref": "fadeevivan/notebook789b24643f", "kernel_id": "83171536"}, {"ref": "altemiromar/fine-tunning-resnet18-for-plates-classification", "kernel_id": "83879897"}, {"ref": "abduraaahim/cleaned-vs-dirty", "kernel_id": "83236005"}, {"ref": "lailacollege/notebookb1a41c12f3", "kernel_id": "83052711"}, {"ref": "rugbyrne/dirty-dishes", "kernel_id": "84046150"}, {"ref": "sabyrbazarymbetov/cleaner-than-dirty", "kernel_id": "84280588"}, {"ref": "shadesh/plates-classification-with-pytorch", "kernel_id": "84143433"}, {"ref": "shadesh/pytorch-uses-transfer-learning-resnet18", "kernel_id": "84142088"}, {"ref": "trngcngqucthi/classification-disk", "kernel_id": "84812676"}, {"ref": "lepidon/cleaned-vs-dirty-with-efficientnetb1", "kernel_id": "84565672"}, {"ref": "azatsagitov/vs-42-az", "kernel_id": "85599922"}, {"ref": "lenaamrzaghloul/notebookefdded8905", "kernel_id": "86052444"}, {"ref": "tirdadlajmouraki/deep-learning-into-the-transfer-learning", "kernel_id": "89016780"}, {"ref": "gaurovgiri/qwen2-vl-clean-or-dirty", "kernel_id": "92804976"}, {"ref": "mah20050/my-python-s-pytorch-1", "kernel_id": "92484240"}, {"ref": "luvlean/my-baseline", "kernel_id": "94532289"}, {"ref": "jacobchang1016/cleaned-and-dirty-jacob", "kernel_id": "99580499"}, {"ref": "tkazarin/pytorch-baseline-tmc-1", "kernel_id": "101219072"}, {"ref": "luvlean/fork-of-my-baseline", "kernel_id": "103508682"}, {"ref": "hmnshudhmn24/cleaned-vs-dirty-v2", "kernel_id": "105749214"}, {"ref": "d00bores/cleaned-vs-dirty", "kernel_id": "113579055"}, {"ref": "romaneyvazov/cv-for-plates-classification-pytorch", "kernel_id": "113344148"}]}
{"competition_id": "15286", "kernels": []}
{"competition_id": "15287", "kernels": [{"ref": "lextoumbourou/sic-resnet18-on-cpu", "kernel_id": "4995631"}, {"ref": "lextoumbourou/sic-efficientnet-b3", "kernel_id": "4986000"}, {"ref": "lextoumbourou/sic-efficientnet-b0", "kernel_id": "4977058"}, {"ref": "brookingcharlie/synthetic-image-classification-using-keras", "kernel_id": "5040156"}, {"ref": "juntaoq/shokunin-july-thoughtworks", "kernel_id": "5012307"}]}
{"competition_id": "15288", "kernels": []}
{"competition_id": "15292", "kernels": []}
{"competition_id": "15293", "kernels": [{"ref": "daniil915/kernel8f9564b388", "kernel_id": "4909057"}]}
{"competition_id": "15294", "kernels": []}
{"competition_id": "15306", "kernels": []}
{"competition_id": "15319", "kernels": []}
{"competition_id": "15331", "kernels": []}
{"competition_id": "15336", "kernels": []}
{"competition_id": "15339", "kernels": [{"ref": "amalphonse/senti-ana-rnn-anju", "kernel_id": "5008926"}, {"ref": "lalwaniabhishek/using-bert-for-binary-text-classification", "kernel_id": "5013637"}, {"ref": "nirupamait/kernel68b7f4a77b", "kernel_id": "5033260"}, {"ref": "ronitmankad/sentiment-analysis-eda-and-model-creation", "kernel_id": "5106161"}, {"ref": "ronitmankad/ronit-mankad-sentiment-analysis", "kernel_id": "5033120"}, {"ref": "bhadreshsavani/aarya-sentimentalanalysis", "kernel_id": "5024653"}, {"ref": "navinkhandeparkar/mongo-db", "kernel_id": "5022909"}, {"ref": "shubhangijena/nlp-hackathon-sentimento", "kernel_id": "5039384"}, {"ref": "jerlive/aarya-sentimentalanalysis", "kernel_id": "10991055"}, {"ref": "foghorn/sentimental-analysis", "kernel_id": "36829764"}, {"ref": "sivas1292/imdb-review-sentimental-analysis-pytorch", "kernel_id": "67091327"}]}
{"competition_id": "15347", "kernels": [{"ref": "shahanamogal/team-vengers-car-classification", "kernel_id": "4907910"}, {"ref": "lalwaniabhishek/automatic-submission-by-abhishek-lalwani", "kernel_id": "4920059"}, {"ref": "venkatarathnam/the-mufasa-hackathon-auto-matic", "kernel_id": "4907226"}, {"ref": "shivus/gladiators-car-classification", "kernel_id": "4925202"}, {"ref": "anitho2910/spai-racer-auto-hackathon", "kernel_id": "4921665"}, {"ref": "nirupamait/kernel5163c4e106", "kernel_id": "4913384"}, {"ref": "shubhendumishra/solo-cars-classification-using-vgg16-on-pytorch", "kernel_id": "4918009"}, {"ref": "ronitmankad/ronit-mankad-auto-matic", "kernel_id": "4903985"}, {"ref": "droid021/droid-droid", "kernel_id": "4915299"}, {"ref": "shuvam71/rice-classification", "kernel_id": "4905483"}, {"ref": "hitoidas/deep-learning-strike-team-cars", "kernel_id": "4925354"}, {"ref": "ikhushpatel/ignite-car-classification-ikhushpatel-khush", "kernel_id": "4912132"}, {"ref": "souravs17031999/newtech-covenant-auto-matic", "kernel_id": "4904452"}, {"ref": "pogayo/perez-ogayo-automatic", "kernel_id": "4930710"}, {"ref": "jauraseerat/kernele1b74238cd", "kernel_id": "4914753"}]}
{"competition_id": "15356", "kernels": []}
{"competition_id": "15372", "kernels": [{"ref": "vlasoff/data-understanding", "kernel_id": "4924147"}, {"ref": "daniil915/kernelc3c09d5820", "kernel_id": "4971526"}]}
{"competition_id": "15376", "kernels": []}
{"competition_id": "15383", "kernels": [{"ref": "bguberfain/lsd-let-s-see-the-data", "kernel_id": "5792737"}]}
{"competition_id": "15397", "kernels": []}
{"competition_id": "15414", "kernels": []}
{"competition_id": "15416", "kernels": []}
{"competition_id": "15418", "kernels": []}
{"competition_id": "15422", "kernels": []}
{"competition_id": "15439", "kernels": [{"ref": "johnzhang99/keras-resnet50", "kernel_id": "5021552"}]}
{"competition_id": "15447", "kernels": [{"ref": "dierickx3/ctiii-level-1", "kernel_id": "5269547"}, {"ref": "gullfaxi/a-few-exploration-on-difficulty-4", "kernel_id": "5283140"}, {"ref": "julianb/time-efficient-pairing", "kernel_id": "5267101"}, {"ref": "neonninja/let-s-decrypt", "kernel_id": "5233922"}, {"ref": "anuraglahon/ciferiii", "kernel_id": "5243976"}, {"ref": "vishnu44d/kernel5bc84b453f", "kernel_id": "5250494"}, {"ref": "jiaofenx/ciphertext-challenge-iii-simple-eda-and-cracking", "kernel_id": "5579366"}, {"ref": "seriousran/only-length-0-00000", "kernel_id": "5243113"}, {"ref": "sanikamal/ciphertext-challenge-iii", "kernel_id": "5231401"}, {"ref": "ayush10004/some-more-hints", "kernel_id": "5256993"}, {"ref": "tauffer/dumb-luck", "kernel_id": "5245720"}, {"ref": "tenffe/ciphertext-eda-and-baseline", "kernel_id": "5236443"}, {"ref": "pednt9/something-to-begin-with-a-first-hint", "kernel_id": "5254484"}, {"ref": "kaggleuser58/cipher-challenge-iii-level-1", "kernel_id": "5290972"}, {"ref": "chizuchizu/difficulty-1-visualization", "kernel_id": "5237705"}, {"ref": "elvenmonk/difficulty-1-reverse-engineering-no-ml", "kernel_id": "5271502"}, {"ref": "elvenmonk/difficulty-4-reverse-engineering", "kernel_id": "5374183"}, {"ref": "elvenmonk/ciphertext-challenge-iii-fast-level-1", "kernel_id": "5306642"}, {"ref": "elvenmonk/ciphertext-challenge-iii-fast-level-3", "kernel_id": "5340474"}, {"ref": "junheeshin/cipher3-level1", "kernel_id": "5456741"}, {"ref": "smlopezza/ciphertext-challenge-iii-v3", "kernel_id": "5267776"}, {"ref": "nbzee1/some-hints-for-levels-3-and-4-now-with-solutions", "kernel_id": "5479309"}, {"ref": "anermakov/ciphertext-decrypt-diff-2", "kernel_id": "6011949"}, {"ref": "adrianpaul/cipher-challenge-iii-level-1-adrian", "kernel_id": "7524766"}]}
{"competition_id": "15450", "kernels": []}
{"competition_id": "15451", "kernels": []}
{"competition_id": "15465", "kernels": []}
{"competition_id": "15470", "kernels": []}
{"competition_id": "15472", "kernels": []}
{"competition_id": "15474", "kernels": [{"ref": "brunostuyts/isfog-2020-linear-model-demo", "kernel_id": "5231131"}]}
{"competition_id": "15477", "kernels": []}
{"competition_id": "15479", "kernels": [{"ref": "braullie/xgboost", "kernel_id": "5092674"}]}
{"competition_id": "15482", "kernels": [{"ref": "grapestone5321/baby-monitor-forecast", "kernel_id": "5091285"}, {"ref": "grapestone5321/baby-monitor-forecast-eda", "kernel_id": "5091408"}]}
{"competition_id": "15483", "kernels": []}
{"competition_id": "15488", "kernels": []}
{"competition_id": "15492", "kernels": []}
{"competition_id": "15496", "kernels": []}
{"competition_id": "15500", "kernels": []}
{"competition_id": "15504", "kernels": [{"ref": "lalwaniabhishek/abhishek-lalwani-bits-twitter-text", "kernel_id": "5174534"}, {"ref": "nirupamait/kernel9d448c6ffb", "kernel_id": "5239851"}, {"ref": "ronitmankad/sentiment-analysis-bert-pytorch", "kernel_id": "5145795"}, {"ref": "aishakhatun/tanny411-sentimento-v2-2", "kernel_id": "5212964"}, {"ref": "aishakhatun/tanny411-sentimento-v2", "kernel_id": "5178124"}, {"ref": "jethrosammarcus/kernel17592c5f4d", "kernel_id": "5214827"}, {"ref": "anshukrish/anrick", "kernel_id": "5150239"}, {"ref": "bhadreshsavani/aarya-sentimentalanalysiswithtweets", "kernel_id": "5142420"}, {"ref": "navinkhandeparkar/kernel37bcaeb1a4", "kernel_id": "5156243"}]}
{"competition_id": "15515", "kernels": []}
{"competition_id": "15518", "kernels": []}
{"competition_id": "15523", "kernels": [{"ref": "deborareis/svd-nmf-modelagem-de-topicos", "kernel_id": "5473940"}, {"ref": "deborareis/o-que-nlp", "kernel_id": "5473604"}, {"ref": "deborareis/logreg-nb-e-imdb", "kernel_id": "5476617"}]}
{"competition_id": "15623", "kernels": []}
{"competition_id": "15624", "kernels": []}
{"competition_id": "15627", "kernels": []}
{"competition_id": "15643", "kernels": [{"ref": "yusueframadan/house-price-prediction", "kernel_id": "5551476"}, {"ref": "nihalhaboush/neolen-house-price-adv-reg-gsearchcv-xgb", "kernel_id": "10743069"}, {"ref": "ahmedmurad1990/house-price-prediction-8d8665", "kernel_id": "10889958"}, {"ref": "ahmedmurad1990/house-price-prediction", "kernel_id": "10675380"}, {"ref": "ajay0511/neolen-house-price-prediction", "kernel_id": "11092013"}, {"ref": "sarahesham/houseprice-prediction", "kernel_id": "18929784"}, {"ref": "pro1amr/house-price-prediction", "kernel_id": "18812193"}, {"ref": "ahmedmagdy96/house-price-prediction", "kernel_id": "18910236"}, {"ref": "amalabdallah/house-price-prediction-linear-regression", "kernel_id": "18809359"}, {"ref": "mohamedmostafa335/house-price-prediction", "kernel_id": "18873357"}, {"ref": "rehameltagoury/housepredictions", "kernel_id": "18928642"}, {"ref": "azizmousa/notebook19c7ed1c80", "kernel_id": "18895571"}, {"ref": "hazemhosny/house-price-prediction", "kernel_id": "18895718"}, {"ref": "ahmedhagras/notebookeda13466e7", "kernel_id": "18908139"}, {"ref": "habibahafez/notebookea2d09f19a", "kernel_id": "18911403"}, {"ref": "mahmoudtaha3/notebook40ab3966f8", "kernel_id": "18808799"}, {"ref": "tokaghaly/houseprediction-toka", "kernel_id": "18931456"}, {"ref": "ahmedabuaba/house-price", "kernel_id": "18925091"}, {"ref": "ahmedsheriif/house-price-prediction-linear-regression", "kernel_id": "18994578"}, {"ref": "suhaibalihassan/notebook324725205c", "kernel_id": "18807035"}, {"ref": "wssamhassan/house-price-prediction-wssam-hassan", "kernel_id": "18933325"}, {"ref": "mostafaemam0/house-pricing-linear-regression", "kernel_id": "18832907"}, {"ref": "hebawaelr/house-price-final", "kernel_id": "18868941"}, {"ref": "mohammedabdulnaser/predicting-house-price-mo", "kernel_id": "18886941"}, {"ref": "tasneemmohamedsaad/notebook953bbb26cf", "kernel_id": "18932328"}, {"ref": "mohammadjhanafy/house-predictions", "kernel_id": "18895464"}, {"ref": "nayrouzhamdy/final-editt", "kernel_id": "18932494"}, {"ref": "nayrouzhamdy/house-pricing-final", "kernel_id": "18886909"}, {"ref": "amiramosa99/notebook6fe297e341", "kernel_id": "18889547"}, {"ref": "mohamedalkasaby/neolen-house-price-prediction", "kernel_id": "18895579"}, {"ref": "ayadayem/notebook379bf47ffd", "kernel_id": "18944942"}, {"ref": "ftmozc/house-price-prediction-lineer-regression", "kernel_id": "20958213"}, {"ref": "subrahmanyajoshi/house-price-prediciton", "kernel_id": "21114075"}, {"ref": "mohamedmoghazy/implementing-pca-and-sgd-from-scratch", "kernel_id": "24766383"}, {"ref": "anrakhma/simple-statistical-analysis", "kernel_id": "32700776"}, {"ref": "osamayassen/notebook88193035a5", "kernel_id": "33691894"}, {"ref": "surbhitsharma/notebook4d26547578", "kernel_id": "34336345"}, {"ref": "ghulamemursaleen/notebook87a1f447bf", "kernel_id": "39921281"}, {"ref": "prehkeerio/notebook049b25969d", "kernel_id": "39920155"}, {"ref": "urwaiqbal/notebooke1aedbfd83", "kernel_id": "39920147"}, {"ref": "ducqhle/david-house-price-prediction", "kernel_id": "86723364"}, {"ref": "minhdu96/nhom6", "kernel_id": "86560542"}, {"ref": "tranngocnhuquynh/nhom12-house-price-prediction", "kernel_id": "113447222"}]}
{"competition_id": "15657", "kernels": []}
{"competition_id": "15670", "kernels": [{"ref": "adranale/flower-recognition-1st-try", "kernel_id": "5586912"}]}
{"competition_id": "15671", "kernels": []}
{"competition_id": "15678", "kernels": [{"ref": "aptx0218/test-model", "kernel_id": "5562793"}, {"ref": "boyuai/baseline", "kernel_id": "5299457"}]}
{"competition_id": "15689", "kernels": []}
{"competition_id": "15696", "kernels": [{"ref": "wcukierski/official-r-starter-notebook-nfl-big-data-bowl", "kernel_id": "6252118"}, {"ref": "gertjac/is-online-training-allowed", "kernel_id": "6449836"}, {"ref": "gertjac/just-to-show-why-i-wonder-about-online-learning", "kernel_id": "6450152"}, {"ref": "gertjac/regression-approach", "kernel_id": "6598740"}, {"ref": "aleksthegreat/lstm-final-working", "kernel_id": "6729895"}, {"ref": "aleksthegreat/tfp-gaussian-distribution-nn", "kernel_id": "6474851"}, {"ref": "sudalairajkumar/simple-exploration-notebook-nfl", "kernel_id": "6159428"}, {"ref": "cpmpml/graph-transfomer", "kernel_id": "6784355"}, {"ref": "cpmpml/save-test", "kernel_id": "6480975"}, {"ref": "cpmpml/initial-wrangling-voronoi-areas-in-python", "kernel_id": "6216184"}, {"ref": "abhikjha/cox-proportional-hazard-model", "kernel_id": "6480968"}, {"ref": "christoffer/random-walk-feature-selection", "kernel_id": "6609163"}, {"ref": "christoffer/how-good-are-our-predictions-really", "kernel_id": "6373862"}, {"ref": "ben519/understanding-x-y-dir-and-orientation", "kernel_id": "6421179"}, {"ref": "ben519/empirical-cdfs-benchmark", "kernel_id": "6263719"}, {"ref": "mconway/sarimax", "kernel_id": "6184736"}, {"ref": "freelancerfel/utility-nflcleaning", "kernel_id": "6317668"}, {"ref": "statsbymichaellopez/nfl-tracking-wrangling-voronoi-and-sonars", "kernel_id": "6172864"}, {"ref": "kashnitsky/nfl-median-baseline-0-01457", "kernel_id": "6195988"}, {"ref": "anandavati/ngboost-for-nfl", "kernel_id": "6634270"}, {"ref": "sryo188558/how-to-evaluate-nfl-player-s-contribution", "kernel_id": "6945940"}, {"ref": "sryo188558/cox-proportional-hazard-model", "kernel_id": "6265806"}, {"ref": "peterhurford/something-is-the-matter-with-orientation", "kernel_id": "6282555"}, {"ref": "rooshroosh/continue-tune-hybrid-gp-and-nn", "kernel_id": "6407081"}, {"ref": "rooshroosh/fork-of-neural-networks-different-architecture", "kernel_id": "6247215"}, {"ref": "steubk/simulate-iter-test-on-train", "kernel_id": "6292333"}, {"ref": "dmitriyguller/r-starter-notebook-with-15x-faster-prediction-loop", "kernel_id": "6312753"}, {"ref": "threecourse/initial-wrangling-voronoi-areas-in-python", "kernel_id": "6395332"}, {"ref": "scirpus/location-eda", "kernel_id": "6395603"}, {"ref": "scirpus/hybrid-gp-and-nn", "kernel_id": "6396023"}, {"ref": "scirpus/fork-of-hybrid-gp-and-nn", "kernel_id": "6470905"}, {"ref": "scirpus/gradbm11", "kernel_id": "6182361"}, {"ref": "scirpus/kullbach-leibler-genetic-programming-gubbins", "kernel_id": "6635814"}, {"ref": "scirpus/location-eda-8eb410-556827", "kernel_id": "6637331"}, {"ref": "rdizzl3/nfl-big-data-bowl-classification-perspective", "kernel_id": "6181868"}, {"ref": "kenmatsu4/nn-outputs-gaussian-distribution-directly", "kernel_id": "6432822"}, {"ref": "kenmatsu4/animation-of-field-data-player-position-yards", "kernel_id": "6281438"}, {"ref": "jtrotman/save-nfl-leaderboard", "kernel_id": "6963773"}, {"ref": "ksayantani/understanding-variables", "kernel_id": "6443189"}, {"ref": "jpmiller/simple-distribution", "kernel_id": "6194965"}, {"ref": "ankittomar1/nbl-pandas-profiling", "kernel_id": "6173683"}, {"ref": "chabir/eda-3-lines", "kernel_id": "6157963"}, {"ref": "manojprabhaakr/hybrid-gp-nn-with-feature-engineering", "kernel_id": "6417968"}, {"ref": "tunguz/adversarial-nfl", "kernel_id": "6206638"}, {"ref": "tnmasui/standardizing-s-by-seasons", "kernel_id": "6237062"}, {"ref": "tnmasui/nfl-eda-on-train-test-fe-correlation-anova", "kernel_id": "6198522"}, {"ref": "mlfurman/plotting-field-and-plays-in-r", "kernel_id": "6237754"}, {"ref": "arihantkumarjain/nfl-preprocesisng-eda", "kernel_id": "6427033"}, {"ref": "arihantkumarjain/nfl-fe", "kernel_id": "6571949"}, {"ref": "ekhtiar/features-features-features", "kernel_id": "6562896"}, {"ref": "aerdem4/nfl-lofo-importance", "kernel_id": "6310999"}, {"ref": "rajesh372/kernel-final", "kernel_id": "6559821"}, {"ref": "datahobbit/hybrid-gp-and-nn-slightly-tuned", "kernel_id": "6399087"}, {"ref": "mtodisco10/2019-big-data-bowl-submission", "kernel_id": "6649355"}, {"ref": "toshinoue/historical-public-lb-of-nfl-big-data-bowl", "kernel_id": "6993608"}, {"ref": "pashadude/catboost", "kernel_id": "6783122"}, {"ref": "enzoamp/location-eda-with-combined-rusher-features", "kernel_id": "6733107"}, {"ref": "enzoamp/nfl-lightgbm", "kernel_id": "6487349"}, {"ref": "jasonrockphelps/tracking-preprocessing-py", "kernel_id": "6507526"}, {"ref": "jasonrockphelps/convex-hull-feature-development", "kernel_id": "6450853"}, {"ref": "jasonrockphelps/best-etc-on-cdf-model", "kernel_id": "6610566"}, {"ref": "robertehshi/nfl-big-data-bowl-physics-model", "kernel_id": "6439066"}, {"ref": "pwendel3/generational-talent", "kernel_id": "6687439"}, {"ref": "code1110/let-s-ask-catboost-about-cat-s", "kernel_id": "6455901"}, {"ref": "code1110/eda-optimizing-lightgbm-hyperparameters", "kernel_id": "6157597"}, {"ref": "ryancaldwell/location-eda", "kernel_id": "6204649"}, {"ref": "youwbpyr/nfl-test-data-for-local-devlop", "kernel_id": "6331289"}, {"ref": "robikscube/nfl-big-data-bowl-plotting-player-position", "kernel_id": "6156489"}, {"ref": "robikscube/big-data-bowl-comprehensive-eda-with-pandas", "kernel_id": "6156815"}, {"ref": "robikscube/the-race-for-nfl-big-data-bowl-2020", "kernel_id": "6314394"}, {"ref": "robikscube/0-01348-stage-1-exploding-lightgbm-solution", "kernel_id": "6798810"}, {"ref": "adityakumarsinha/firstkernel", "kernel_id": "6686186"}, {"ref": "kingychiu/keras-nn-starter-crps-early-stopping", "kernel_id": "6197377"}, {"ref": "somnambwl/nfl-basic-player-information", "kernel_id": "6164287"}, {"ref": "somnambwl/nfl-2019-nn", "kernel_id": "6796971"}, {"ref": "jagannathrk/nfl-big-data-bowl-model-using-tf-lstm", "kernel_id": "6747265"}, {"ref": "jagannathrk/nfl-big-data-bowl-model-using-lightgbm", "kernel_id": "6746945"}, {"ref": "sakshi7896/next-gen-eda", "kernel_id": "6570427"}, {"ref": "ksooklall/nfl-bdb-eda", "kernel_id": "6156985"}, {"ref": "gpreda/accelerated-data-analytics-using-pandas-profiling", "kernel_id": "6333255"}, {"ref": "adale2016/nfl-big-data-bowl-official-starter-notebook", "kernel_id": "6300436"}, {"ref": "adale2016/nfl-1-0", "kernel_id": "6252864"}, {"ref": "ananthreddy/big-data-bowl", "kernel_id": "6345538"}, {"ref": "adam1brownell/visualizing-plays-and-a-simple-proximity-nn", "kernel_id": "6195605"}, {"ref": "nickyg/nfl-pytorch-fastai-one-cycle-policy-training", "kernel_id": "6629456"}, {"ref": "kyonaganuma/hierarchical-bayesian-modeling-using-pystan", "kernel_id": "6380746"}, {"ref": "carlossouza/model-by-runner", "kernel_id": "6205331"}, {"ref": "authman/nofe-final", "kernel_id": "6799333"}, {"ref": "authman/lgbbbbbb", "kernel_id": "6799409"}, {"ref": "tlegrand/end-to-end-sklearn-pipeline-with-feature-cleaning", "kernel_id": "6295115"}, {"ref": "govoruha/r-simple-lgb-starter", "kernel_id": "6305785"}, {"ref": "shubham2306/nfl-big-bowl-data-iteration-for-good-model", "kernel_id": "6455358"}, {"ref": "lovedm/fork-of-neural-networks-feature-luck-computer", "kernel_id": "6185891"}, {"ref": "takaishikawa/very-newbie-notebook", "kernel_id": "6271102"}, {"ref": "mrkmakr/neural-network-with-mae-objective-0-01381", "kernel_id": "6319549"}, {"ref": "mrkmakr/lgbm-multiple-classifier", "kernel_id": "6332915"}, {"ref": "shahules/how-about-some-nn-keras-starter", "kernel_id": "6173271"}, {"ref": "ryches/cnn-on-the-playing-field", "kernel_id": "6381023"}, {"ref": "ryches/nfl-feature-engineering-v2", "kernel_id": "6174531"}, {"ref": "ryches/model-free-benchmark", "kernel_id": "6175261"}, {"ref": "ryches/nfl-big-data-bowl-team-feature-simple-model", "kernel_id": "6158596"}, {"ref": "ekrembayar/nfl-big-data-bowl-formations-visualization", "kernel_id": "6175624"}, {"ref": "kunqi77/eda-all-columns", "kernel_id": "6187549"}, {"ref": "agenlu/r-starter-notebook-with-20x-faster-data-table", "kernel_id": "6322628"}, {"ref": "jaseziv83/comprehensive-cleaning-and-eda-of-all-variables", "kernel_id": "6179076"}, {"ref": "jaseziv83/identifying-data-issues-training-set", "kernel_id": "6157228"}, {"ref": "alexgeiger/the-official-nfl-solution", "kernel_id": "6654697"}, {"ref": "mervesarac/voronoi-plays", "kernel_id": "6469063"}, {"ref": "pradeepmuniasamy/extensive-eda-fe-models-on-nfl-big-data-bowl", "kernel_id": "6159631"}, {"ref": "tuttifrutti/voronoi-diagram-in-python", "kernel_id": "6457463"}, {"ref": "hukuda222/nfl-simple-evluation-trick", "kernel_id": "6173073"}, {"ref": "hukuda222/nfl-simple-model-using-lightgbm", "kernel_id": "6156819"}, {"ref": "donkeys/keras-multi-input", "kernel_id": "6250741"}, {"ref": "glenn123/glenn-16-10-2019", "kernel_id": "6241991"}, {"ref": "evazhang43/nfl-eda", "kernel_id": "6217129"}, {"ref": "joocheol/20191017", "kernel_id": "6240212"}, {"ref": "joocheol/fe20191019", "kernel_id": "6285502"}, {"ref": "joocheol/qrm20191030", "kernel_id": "6434870"}, {"ref": "joocheol/fe-lecture-20191109", "kernel_id": "6526303"}, {"ref": "miklgr500/tabular-data-image", "kernel_id": "6194389"}, {"ref": "miklgr500/fork-of-neural-networks-radam-repeatkfold", "kernel_id": "6192291"}, {"ref": "miklgr500/fork-neural-networks-adversarial-validation", "kernel_id": "6248333"}, {"ref": "oliveia/nfl-big-data-bowl-with-random-forests-k-fold", "kernel_id": "6735095"}, {"ref": "oliveia/nfl-big-data-bowl-with-nn-keras", "kernel_id": "6741182"}, {"ref": "oliveia/nfl-big-data-bowl-with-knn", "kernel_id": "6657777"}, {"ref": "oliveia/nfl-big-data-bowl-with-random-forests", "kernel_id": "6666028"}, {"ref": "lazyer/nfl-pipeline-v4", "kernel_id": "6773271"}, {"ref": "peacemaket/nfl-data-bowl", "kernel_id": "6552923"}, {"ref": "jy199412/18th-of-october", "kernel_id": "6273676"}, {"ref": "jpmary/lgbm-f", "kernel_id": "6598318"}, {"ref": "prashantkikani/nfl-starter-lgb-feature-engg", "kernel_id": "6172840"}, {"ref": "prashantkikani/nfl-starter-mlp-feature-engg", "kernel_id": "6198111"}, {"ref": "alexanderdbooth/nfl-big-data-bowl-wooooo", "kernel_id": "6184822"}, {"ref": "vensadk/next-gen-eda", "kernel_id": "6570384"}, {"ref": "go5kuramubon/nfl-mixturedensitynetworks-output-gmm-param-nn", "kernel_id": "6570302"}, {"ref": "hatunina/nfl-simple-pytorch-by-16-feats", "kernel_id": "6264138"}, {"ref": "tarunpaparaju/nfl-competition-eda-pytorch-cnn", "kernel_id": "6189041"}, {"ref": "nikhil04/nfl-big-data", "kernel_id": "6176024"}, {"ref": "shishu1421/nfl-bowl-with-location", "kernel_id": "6539862"}, {"ref": "truenikita/cleaning-of-the-stadium-feature", "kernel_id": "6251291"}, {"ref": "truenikita/very-newbie-notebook", "kernel_id": "6269579"}, {"ref": "truenikita/try-of-nfl-id-binarization", "kernel_id": "6265846"}, {"ref": "truenikita/gradbm11", "kernel_id": "6169335"}, {"ref": "truenikita/neural-networks-multiple-output-stadium-clean", "kernel_id": "6324522"}, {"ref": "btatkinson/corrected-orientation-dir-vectors-python", "kernel_id": "6180574"}, {"ref": "jonbown/improved-keras-nn", "kernel_id": "6770929"}, {"ref": "jonbown/simple-keras-nn", "kernel_id": "6559151"}, {"ref": "puneetgrover/ensembling-nns-and-lightgbm", "kernel_id": "6308148"}, {"ref": "jccampos/nfl-2020-winner-solution-the-zoo", "kernel_id": "6755191"}, {"ref": "xwxw2929/nn-kfold", "kernel_id": "6188586"}, {"ref": "blazejd/nfl-fixed-bugs", "kernel_id": "6607214"}, {"ref": "muxiaobai/my-npl-submit-demo", "kernel_id": "6210969"}, {"ref": "samtaylor54321/nfl-big-data-bowl-2019", "kernel_id": "6793079"}, {"ref": "coolcoder22/nfl-001-random-forest", "kernel_id": "6477450"}, {"ref": "coolcoder22/nfl-001-neural-network", "kernel_id": "6477619"}, {"ref": "coolcoder22/nfl-001-feature-selection", "kernel_id": "6488640"}, {"ref": "coolcoder22/nn-19-features", "kernel_id": "6488735"}, {"ref": "chichengzhang/gary-nfl-big-data-bowl", "kernel_id": "6686659"}, {"ref": "kusunokichihiro/description-in-japanese-and-first-model-example", "kernel_id": "6196730"}, {"ref": "tombresee/next-gen-eda", "kernel_id": "6507838"}, {"ref": "hamditarek/fork-of-neural-networks-feature-luck-computer", "kernel_id": "6201911"}, {"ref": "hamditarek/neural-networks-feature-engineering-for-the-win", "kernel_id": "6193495"}, {"ref": "hamditarek/eda-to-prediction-features-analysis-engineering", "kernel_id": "6156976"}, {"ref": "hamditarek/squad-visualization-xy-coordinate", "kernel_id": "6221009"}, {"ref": "nicodre/nfl-comp-v3", "kernel_id": "6385732"}, {"ref": "jmaslek/nflbowl-nearestdefender-myfirstnn", "kernel_id": "6378188"}, {"ref": "bensdm/eda-profile-report", "kernel_id": "6172967"}, {"ref": "shozendan/davis-ds-club-a-neural-network-approach", "kernel_id": "6704384"}, {"ref": "yutafm/nfl-ef", "kernel_id": "6670816"}, {"ref": "muhakabartay/update-of-hybrid-gp-and-nn", "kernel_id": "6401233"}, {"ref": "muhakabartay/update-on-nn-multiple-output-stadium-clean", "kernel_id": "6409125"}, {"ref": "vbmokin/nfl-feature-importance-xgb-lgbm-linreg", "kernel_id": "6837120"}, {"ref": "vbmokin/lgbm-multiple-classifier-with-max-depth-6", "kernel_id": "6480776"}, {"ref": "vbmokin/lgbm-multiple-classifier-with-max-depth-5", "kernel_id": "6492203"}, {"ref": "jastornaut/nfl-eda-ftw-lean-clean-and-astroturf-green", "kernel_id": "6157034"}, {"ref": "arindam235/andy-s-draft", "kernel_id": "6232013"}, {"ref": "abugim/nfl-gameplay-visualization", "kernel_id": "6564592"}, {"ref": "dster/nfl-big-data-bowl-official-starter-notebook", "kernel_id": "6156173"}, {"ref": "wimwim/nfl-transformer-final-run", "kernel_id": "6778727"}, {"ref": "kmtopel/kernel3555cf0128", "kernel_id": "6482425"}, {"ref": "kaushal2896/nfl-big-data-bowl-fe-catboost", "kernel_id": "6586200"}, {"ref": "yukomiya/komiya-nfl1", "kernel_id": "6380700"}, {"ref": "yukomiya/komiya-nfl1-class-submit", "kernel_id": "6464818"}, {"ref": "yukomiya/komiya-nfl-class3-submit", "kernel_id": "6525481"}, {"ref": "yukomiya/komiya-nfl-catboost", "kernel_id": "6706730"}, {"ref": "yukomiya/komiya-nfl-lgbm", "kernel_id": "6537552"}, {"ref": "manish25297/nfl-league", "kernel_id": "6339123"}, {"ref": "pednt9/vip-hint-coded", "kernel_id": "6343029"}, {"ref": "errolpereira/fork-of-starter-submission", "kernel_id": "6274763"}, {"ref": "snakayama/nfl-interactive-graph-using-bokeh", "kernel_id": "6208969"}, {"ref": "yangsaewon/pandas", "kernel_id": "6416122"}, {"ref": "frkfaiz/next-gen-eda", "kernel_id": "6570478"}, {"ref": "gopidurgaprasad/feature-by-feature-explained-in-detailed", "kernel_id": "6280235"}, {"ref": "hookbook/nfl-data-visualization-of-plays", "kernel_id": "6271279"}, {"ref": "hookbook/plays-visualization-with-pitch-control", "kernel_id": "6369821"}, {"ref": "davidcairuz/i-hope-eda-comes-with-practice", "kernel_id": "6568262"}, {"ref": "davidcairuz/nfl-neural-network-w-softmax", "kernel_id": "6215617"}, {"ref": "dmintry/catboost", "kernel_id": "6644832"}, {"ref": "dmintry/stack-rf-cb", "kernel_id": "6669370"}, {"ref": "antoniorivero/nfl-v2", "kernel_id": "6481933"}, {"ref": "harshitholmes/nfl-trial6", "kernel_id": "6528225"}, {"ref": "akashii99/nfl-analysis", "kernel_id": "6202192"}, {"ref": "nisheethjaiswal/nfl-eda-nn-analysis", "kernel_id": "6777263"}, {"ref": "fatihbilgin/nfl-big-data-visualization", "kernel_id": "6194929"}, {"ref": "thehemen/nn-feature-engineering-with-genetic-programming", "kernel_id": "6213396"}, {"ref": "yawata/voronoi-area-in-front-of-the-rusher", "kernel_id": "6816267"}, {"ref": "snehalsandri007/kernel1e0cf41817", "kernel_id": "6174923"}, {"ref": "sherkt1/final-hole-metric-features-v5-0", "kernel_id": "6770413"}, {"ref": "rx74tsns/simple-nn", "kernel_id": "6392522"}, {"ref": "dandrocec/location-eda-with-rusher-features", "kernel_id": "6679380"}, {"ref": "rdboyes/simple-voronoi-polygon-visualization-in-r", "kernel_id": "6230521"}, {"ref": "holoong9291/nfl-preprocessing-missing-value-and-outlier", "kernel_id": "6654308"}, {"ref": "holoong9291/nfl-tracking-wrangling-voronoi-and-sonars-python", "kernel_id": "6643245"}, {"ref": "holoong9291/nfl-big-data-bowl", "kernel_id": "6620470"}, {"ref": "bgmello/neural-networks-feature-engineering-for-the-win", "kernel_id": "6164308"}, {"ref": "s903124/ngboost-for-nfl-data", "kernel_id": "6201075"}, {"ref": "s903124/stability-of-running-back-performance", "kernel_id": "6818989"}, {"ref": "statnikmusic/establishing-the-visualization-of-the-run", "kernel_id": "6196486"}, {"ref": "charlessuhartanto/graph-transfomer-from-cpmp-s-kernel", "kernel_id": "6928106"}, {"ref": "charlessuhartanto/nfl-voronoi", "kernel_id": "6585887"}, {"ref": "matheuspush/rushin-to-the-top", "kernel_id": "6779783"}, {"ref": "sinchir0/nfl-simple-eda", "kernel_id": "6156715"}, {"ref": "adibpriatama/pipeline-design-simple", "kernel_id": "6161155"}, {"ref": "adibpriatama/nn-19-features", "kernel_id": "6490687"}, {"ref": "baghirli/nfl-big-data-bowl-keras-nn-pooling-resnet", "kernel_id": "6376942"}, {"ref": "bestpredict/location-eda-8eb410", "kernel_id": "6394137"}, {"ref": "heye0507/eda-demo", "kernel_id": "6309398"}, {"ref": "artemshramko/voronoi-pc-def-pos-nn", "kernel_id": "6794598"}, {"ref": "artemshramko/voronoi-play-control-fe", "kernel_id": "6768135"}, {"ref": "subinium/i-want-to-see-all-features-eda-visualization", "kernel_id": "6157276"}, {"ref": "gunesevitan/nfl-big-data-bowl-test-set", "kernel_id": "6164058"}, {"ref": "jesucristo/animated-visualization", "kernel_id": "6161798"}, {"ref": "gerwynng/nfl-bdb-starter-fe", "kernel_id": "6528145"}, {"ref": "mcurry1/neuralnet", "kernel_id": "6770601"}, {"ref": "etsc9287/nfl-2018-eda-and-feature-engineering", "kernel_id": "6198359"}, {"ref": "jjs2434/nfl-big-bowl-data-iteration-for-good-model", "kernel_id": "6480274"}, {"ref": "corbbb1111/nfl-yards-per-carry-eda", "kernel_id": "6783649"}, {"ref": "rodrigolima82/nfl-simple-eda", "kernel_id": "6444385"}, {"ref": "otzhora/nfl-big-data-bowl", "kernel_id": "6479754"}, {"ref": "aimlanalytics/kernel1bcd254968", "kernel_id": "6675262"}, {"ref": "gogo827jz/bayesian-hyperparameter-tuning-nn-rf", "kernel_id": "6674441"}, {"ref": "gogo827jz/blending-nn-and-lgbm-rf", "kernel_id": "6640962"}, {"ref": "iaarod/nfl-data-visualizing-acceleration", "kernel_id": "6193615"}, {"ref": "bbissey/nfl-big-data-bowl-official-starter-notebook", "kernel_id": "6171492"}, {"ref": "sanshengshi/lightgbm-clean-stadiumtype", "kernel_id": "6513499"}, {"ref": "krammerg/nfl-baseline-nn-v4", "kernel_id": "6757747"}, {"ref": "thecansin/eda-nfl-big-data-bowl", "kernel_id": "6656187"}, {"ref": "maxisoft/install-packed-package", "kernel_id": "6164025"}, {"ref": "jinangefrank/nfl-lgb-adjust-params-based-on-xingyuan", "kernel_id": "6751470"}, {"ref": "zmuscarella/visualization-directional-rushing", "kernel_id": "6172782"}, {"ref": "justinehrlichsyr/justin-r-nfl-big-data-bowl", "kernel_id": "6449145"}, {"ref": "makrovmf3/nfl-04", "kernel_id": "6431100"}, {"ref": "zlindsey/nfl-data-cleaning-and-regression", "kernel_id": "6281853"}, {"ref": "zlindsey/nfl-eda-1", "kernel_id": "6195617"}, {"ref": "williamsne2/nfl-big-data-nw-final", "kernel_id": "6557025"}, {"ref": "ajsteele/nfl-big-data-bowl-highlighting-line-of-scrimmage", "kernel_id": "6262953"}, {"ref": "l0lbeattango3/voronoi-diagram-on-football-field-using-scipy", "kernel_id": "6464835"}, {"ref": "apoorvaappz/next-gen-eda-sample", "kernel_id": "6570442"}, {"ref": "sharmistha96/next-gen-eda", "kernel_id": "6772777"}, {"ref": "juhi1994/next-gen-eda", "kernel_id": "6570360"}, {"ref": "axzhang/nn-no-player-specific-feature", "kernel_id": "6447549"}, {"ref": "amulyamanne/next-gen-eda-sample", "kernel_id": "6570435"}, {"ref": "rutviklathiya/nfl-starter-mlp-feature-engg", "kernel_id": "6355188"}, {"ref": "yuminson/neural-network-with-mae-objective-0-01385", "kernel_id": "6718852"}, {"ref": "fallen123/nfl-big-data-bowl", "kernel_id": "6388356"}, {"ref": "nuthisriram/next-gen-eda", "kernel_id": "6570355"}, {"ref": "sa0987/nfl-big-data-bowl-saman", "kernel_id": "6419927"}, {"ref": "sa0987/play-viz-modified-w-play-zoom-inset", "kernel_id": "6475369"}, {"ref": "enamkaggle/next-gen-eda", "kernel_id": "6570367"}, {"ref": "aksha17/next-gen-eda", "kernel_id": "6775253"}, {"ref": "s13658695/simple-xgb-simple-fe", "kernel_id": "6746986"}, {"ref": "s13658695/xgboost-earlystopping-no-cv", "kernel_id": "6626048"}, {"ref": "s13658695/nfl-xgboost-simple", "kernel_id": "6593158"}, {"ref": "miliman13/nfl-plotting-play-situation", "kernel_id": "6191368"}, {"ref": "econjt/first-submission", "kernel_id": "6241953"}, {"ref": "econjt/simple-regression-first-submission", "kernel_id": "6241406"}, {"ref": "pavitraaritas/next-gen-eda", "kernel_id": "6570411"}, {"ref": "nivanovi/nfl-lgbm", "kernel_id": "6265490"}, {"ref": "funaki/random-forest-classifier-of-funaki-nfl-3", "kernel_id": "6509485"}, {"ref": "funaki/random-forest-classifier-of-funaki-nfl-3-tuning", "kernel_id": "6523728"}, {"ref": "funaki/fork-of-fork-of-fork-of-funaki-nfl-3", "kernel_id": "6464807"}, {"ref": "funaki/fork-of-fork-of-funaki-nfl-3", "kernel_id": "6463949"}, {"ref": "funaki/fork-of-funaki-nfl-3", "kernel_id": "6453069"}, {"ref": "funaki/fork-of-funaki-nfl-2", "kernel_id": "6436880"}, {"ref": "funaki/funaki-nfl-3", "kernel_id": "6426392"}, {"ref": "funaki/funaki-nfl-2", "kernel_id": "6412387"}, {"ref": "funaki/funaki-nfl", "kernel_id": "6380682"}, {"ref": "funaki/cat-boost-regressor-of-funaki", "kernel_id": "6590089"}, {"ref": "funaki/random-forest-classifier-of-funaki-optuna", "kernel_id": "6616779"}, {"ref": "funaki/fork-of-random-forest-classifier-of-funaki-optuna", "kernel_id": "6702746"}, {"ref": "funaki/cat-boost-of-funaki-optuna", "kernel_id": "6756005"}, {"ref": "infinitevictory/next-gen-eda", "kernel_id": "6570393"}, {"ref": "donghoonoh/2018195017-qrm", "kernel_id": "6214790"}, {"ref": "kidrulit/nfl-big-data-feature-engineering-and-encoding", "kernel_id": "6549159"}, {"ref": "sylvainmichel/nfl202-swish", "kernel_id": "6765410"}, {"ref": "ivakat/replacing-rusher-characteristics-with-1-number", "kernel_id": "6480725"}, {"ref": "ivakat/mainn", "kernel_id": "6739102"}, {"ref": "hemanthkumarr/next-gen-eda", "kernel_id": "6570361"}, {"ref": "fattycat/nfl-big-data-bowl-official-starter-notebook", "kernel_id": "6329050"}, {"ref": "gdpsgdps/nfl-001-neural-network", "kernel_id": "6657080"}, {"ref": "gdpsgdps/location-eda-8eb410", "kernel_id": "6671177"}, {"ref": "yathishnv/next-gen-eda-66b064", "kernel_id": "6570332"}, {"ref": "zachanhalt/testtry", "kernel_id": "6670513"}, {"ref": "zachanhalt/work-kernel", "kernel_id": "6508163"}, {"ref": "mehrler/dataminingproject", "kernel_id": "6472728"}, {"ref": "adithyabalakumar/next-gen-eda", "kernel_id": "6570366"}, {"ref": "stefancurtress/nfl-simplified-v1", "kernel_id": "6686981"}, {"ref": "kamalbannuru/next-gen-eda", "kernel_id": "6570382"}, {"ref": "preethamms/next-gen-eda", "kernel_id": "6570348"}, {"ref": "dilipchaudhary/next-gen-eda", "kernel_id": "6570362"}, {"ref": "ashish1732/next-gen-eda", "kernel_id": "6570357"}, {"ref": "sahanabalappa/next-gen-eda", "kernel_id": "6570402"}, {"ref": "rakeshmariyaplar/next-gen-eda", "kernel_id": "6570381"}, {"ref": "sameerkashya/next-gen-eda", "kernel_id": "6570364"}, {"ref": "nikhilbhat06/next-gen-eda", "kernel_id": "6570372"}, {"ref": "pratikgarg02/next-gen-eda", "kernel_id": "6570377"}, {"ref": "arun051298/next-gen-eda", "kernel_id": "6570655"}, {"ref": "hrsh31/next-gen-eda", "kernel_id": "6570668"}, {"ref": "danoff/neural-networks-isaih-divya-charlie-version", "kernel_id": "6616900"}, {"ref": "jackruggiero/submission", "kernel_id": "6856516"}, {"ref": "cadeknox/model-and-explanation", "kernel_id": "6794515"}, {"ref": "gertjac/final-leaderboard-predictions", "kernel_id": "7006797"}, {"ref": "rishabhds/eda-nfl", "kernel_id": "7068432"}, {"ref": "jpmiller/nfl-1standfuture-report", "kernel_id": "7301726"}, {"ref": "sasrdw/zoo-keras", "kernel_id": "7030730"}, {"ref": "robertehshi/basics-of-nfl-expost", "kernel_id": "7475114"}, {"ref": "takuok/1st-place-reproduction-10feats-dev", "kernel_id": "7027601"}, {"ref": "nitindig/neural-networks-feature-engineering-for-the-win", "kernel_id": "7264341"}, {"ref": "nyanpn/pytorch-transformer-public-14th-private-22nd", "kernel_id": "7756862"}, {"ref": "ttya16/nfl-challenge-notebook-latesub", "kernel_id": "7723814"}, {"ref": "holoong9291/eda-for-nfl-have-fun", "kernel_id": "7793640"}, {"ref": "s903124/pytorch-fixed-random-synthesizer", "kernel_id": "7765387"}, {"ref": "mojopriest/running-back-vs-linebacker-a-practice-notebook", "kernel_id": "7863246"}, {"ref": "vaibhavsxn/the-talented", "kernel_id": "7633380"}, {"ref": "ekethio/nfl-rb-analysis", "kernel_id": "8777536"}, {"ref": "seanyman84/nfl-rush-prediction", "kernel_id": "8343717"}, {"ref": "s903124/fast-pitch-control", "kernel_id": "8946027"}, {"ref": "eitharalfatih/eda-and-model", "kernel_id": "8067871"}, {"ref": "itsmijo/kernel59b4d9463f", "kernel_id": "8916752"}, {"ref": "s903124/visualize-nfl-run-play-with-captum", "kernel_id": "9448385"}, {"ref": "s903124/fork-of-pytorch-transformer-public-14th-private", "kernel_id": "9643829"}, {"ref": "arrowheadanalytics/ethan-model", "kernel_id": "9269911"}, {"ref": "manuelreta/neural-networks-feature-engineering-for-the-win", "kernel_id": "10009517"}, {"ref": "elvinagammed/simple-automl-eda", "kernel_id": "11639603"}, {"ref": "gabrielpinheiropires/nfl-rushing-yards", "kernel_id": "11789648"}, {"ref": "srlee6/fork-of-neural-networks-different-2-comm", "kernel_id": "13741942"}, {"ref": "ionlights/projects-fa19-nfl-intro", "kernel_id": "14308645"}, {"ref": "ionlights/projects-fa19-nfl-deep-dive", "kernel_id": "14308650"}, {"ref": "s903124/bdb-model-10-feat-pytorch", "kernel_id": "14221879"}, {"ref": "pirogovskiy/course-project-nfl", "kernel_id": "16918553"}, {"ref": "linsistx/nfl-simple-model-using-lightgbm-from-scratch", "kernel_id": "17662497"}, {"ref": "linsistx/data-science-fa19-nfl-intro", "kernel_id": "17663455"}, {"ref": "linsistx/nfl-simplified-v1", "kernel_id": "17886799"}, {"ref": "pburke1977/nfl-big-data-bowl-plotting-player-position", "kernel_id": "17167721"}, {"ref": "righthandflag/nfl-simple-model-using-lightgbm", "kernel_id": "17906088"}, {"ref": "liueee/1nfl-simplified-v1-train", "kernel_id": "17549197"}, {"ref": "reef3152/nfl-big-data-bowl-notebook", "kernel_id": "22254730"}, {"ref": "s903124/bdb-model-10-feat-flax", "kernel_id": "28385430"}, {"ref": "connerevans/big-data-bowl-2023-linemen-metrics", "kernel_id": "33501219"}, {"ref": "athirah2012/quaterback-nfl-2023", "kernel_id": "33953819"}, {"ref": "ddhannah/nfl-big-data", "kernel_id": "33052939"}, {"ref": "colepeterman/predicting-nfl-offensive-formations", "kernel_id": "34980782"}, {"ref": "ahmettalhabektas/how-we-c-n-deal-w-th-mis-ing-data", "kernel_id": "34039351"}, {"ref": "theholycityweb/data-science-fa19-nfl-intro", "kernel_id": "36641963"}, {"ref": "codyjanderson/nfl-predictions", "kernel_id": "47608251"}, {"ref": "abowen/open-field-tackling-insights-for-nfl-coaches", "kernel_id": "49123059"}, {"ref": "ryanmailley/evaluating-tackles-by-level-of-defense", "kernel_id": "49025404"}, {"ref": "nackii/nfl-browl-2021-007chakraphat", "kernel_id": "53782277"}, {"ref": "ratchanonkocharat/036-ratchanon", "kernel_id": "53786063"}, {"ref": "thanawatmayures/nfl-big-data-bowl-028thanawat", "kernel_id": "53782759"}, {"ref": "wannapatice/039-icewannapat", "kernel_id": "53786145"}, {"ref": "chuanhnguyn/jamie-plotting-player-position", "kernel_id": "53952837"}, {"ref": "rishabhpathak/nfl-2020-big-data-bowl", "kernel_id": "65338162"}, {"ref": "thesnak/nfl-prediction-with-pyspark", "kernel_id": "65124729"}, {"ref": "fernandosr85/snap-insights-beyond-the-obvious", "kernel_id": "67735262"}, {"ref": "alexanderkireev/04-ml-trainings-nlp", "kernel_id": "70487269"}, {"ref": "humeyracimen/global-ai-hub-aygaz-veri-analizi-bootcamp", "kernel_id": "71157458"}, {"ref": "annettelianchiu/nfl-predictions-rc", "kernel_id": "72474988"}, {"ref": "animeshjoshi475/pass-utility-optimization-via-utility-functions", "kernel_id": "74191094"}, {"ref": "bakhtiyoralimov/dent-defensive-entropy-in-the-nfl", "kernel_id": "74108192"}, {"ref": "nehakotha/predicting-receiver-routes", "kernel_id": "74132306"}, {"ref": "calebbradberry/simple-voronoi-tesselations", "kernel_id": "74100990"}, {"ref": "segamega/nfl-big-data-bowl-official-starter-notebook", "kernel_id": "135516582"}]}
{"competition_id": "15711", "kernels": []}
{"competition_id": "15716", "kernels": []}
{"competition_id": "15717", "kernels": [{"ref": "alexanderpk/airbnb-priceprediction", "kernel_id": "5897308"}]}
{"competition_id": "15723", "kernels": []}
{"competition_id": "15733", "kernels": []}
{"competition_id": "15745", "kernels": []}
{"competition_id": "15746", "kernels": []}
{"competition_id": "15749", "kernels": []}
{"competition_id": "15768", "kernels": [{"ref": "gaborfodor/eda-3d-object-detection-challenge", "kernel_id": "5789856"}, {"ref": "lopuhin/lyft-3d-join-all-lidars-annotations-from-scratch", "kernel_id": "5814565"}, {"ref": "gzuidhof/reference-model", "kernel_id": "5797847"}, {"ref": "paliking/3d-points-labeled-by-bbox", "kernel_id": "5942252"}, {"ref": "fartuk1/3d-segmentation-approach", "kernel_id": "5843777"}, {"ref": "rishabhiitbhu/eda-understanding-the-dataset-with-3d-plots", "kernel_id": "5803406"}, {"ref": "seshurajup/starter-lyft-level-5-av-dataset-from-github", "kernel_id": "5787624"}, {"ref": "plarmuseau/lyft-3d-polars-and-3-d-visual", "kernel_id": "5826235"}, {"ref": "stalkermustang/getting-data-for-nn-dataset", "kernel_id": "5795189"}, {"ref": "meaninglesslives/lyft3d-inference-kernel", "kernel_id": "5870015"}, {"ref": "meaninglesslives/lyft3d-test-dataset", "kernel_id": "5883184"}, {"ref": "tarunpaparaju/lyft-competition-understanding-the-data", "kernel_id": "5787406"}, {"ref": "tricoffee/kernel157697dc4e", "kernel_id": "5861757"}, {"ref": "lavanyashukla01/yolov3-lyft-dataset", "kernel_id": "5938088"}, {"ref": "zikazika/what-is-object-detection-yolo", "kernel_id": "5789641"}, {"ref": "phunghieu/getting-started-with-3d-semantic-segmentation", "kernel_id": "5856649"}, {"ref": "quickhawk/keras-blueprint", "kernel_id": "5827801"}, {"ref": "xhlulu/lyft-eda-animations-generating-csvs", "kernel_id": "5787453"}, {"ref": "fanconic/yolov3-keras-image-object-detection", "kernel_id": "5786714"}, {"ref": "jesucristo/starter-devkit-lyft3d", "kernel_id": "5788614"}, {"ref": "lyt0527/kernel1313f85462", "kernel_id": "5966655"}, {"ref": "alexamadori/draft-torch-dataset-class-wip", "kernel_id": "5817666"}, {"ref": "lavanyaraman/lavzkernel6b93a11571", "kernel_id": "5788347"}, {"ref": "aknirala/extract-first-scene", "kernel_id": "6437828"}, {"ref": "aknirala/rendering-3d-point-cloud", "kernel_id": "6462731"}, {"ref": "rohanbapat/kernel7e20d19e16", "kernel_id": "6421586"}, {"ref": "jihongju/interactive-vis-n-of-instance-segmentation-labels", "kernel_id": "6099960"}, {"ref": "jagannathrk/lyft-object-recognition", "kernel_id": "6247931"}, {"ref": "rishabhiitbhu/visualizing-predictions", "kernel_id": "6247461"}, {"ref": "rustemiskuzhin/animal-evaluation", "kernel_id": "6372495"}, {"ref": "rustemiskuzhin/ego-pose-translations", "kernel_id": "6489637"}, {"ref": "rustemiskuzhin/voxelnet-train-evaluation", "kernel_id": "6454979"}, {"ref": "stalkermustang/converting-lyft-dataset-to-kitty-format", "kernel_id": "6162111"}, {"ref": "asimandia/lyft3d-inference-kernel", "kernel_id": "6214059"}, {"ref": "asimandia/reference-model", "kernel_id": "6212075"}, {"ref": "meaninglesslives/lyft3d-inference-prediction-visualization", "kernel_id": "6365622"}, {"ref": "elliotbriant/lyft-kernel", "kernel_id": "6217675"}, {"ref": "naina04/lyft-competition-understand-data-and-eda", "kernel_id": "6370139"}, {"ref": "engineno/explore-lidar", "kernel_id": "6416006"}, {"ref": "ysterin/kernel3890056712", "kernel_id": "6566438"}, {"ref": "saurabhkdm721/lidar-data-exploaration", "kernel_id": "6340595"}, {"ref": "rwosee/clustering-lyft-dataset", "kernel_id": "6964175"}, {"ref": "rwosee/sweep-3d-segmentation", "kernel_id": "6926927"}, {"ref": "makrovmf3/lyft3d-deeplabv3-xception", "kernel_id": "6469893"}, {"ref": "vidheeshnacode/inference-and-prediction-visualization", "kernel_id": "6478292"}, {"ref": "mpdroid/rendering-lidar-points-inside-a-bounding-box", "kernel_id": "6623110"}, {"ref": "mpdroid/clustering-approach-to-generate-object-proposals", "kernel_id": "6819059"}, {"ref": "mpdroid/question-on-ego-pose-translations", "kernel_id": "6484577"}, {"ref": "rshilliday/converting-lyft-dataset-to-kitty-format-c798e8", "kernel_id": "6434838"}, {"ref": "chaneol/yft-inferencing", "kernel_id": "6520370"}, {"ref": "lavanyashukla01/clustering-lyft", "kernel_id": "7360906"}, {"ref": "nicholasbardy/clustering-lyft", "kernel_id": "7440991"}, {"ref": "staceysvetlichnaya/3d-point-cloud-logging", "kernel_id": "7722729"}, {"ref": "staceysvetlichnaya/yolov3-lyft-dataset", "kernel_id": "7864748"}, {"ref": "kaushiksamba/reference-model", "kernel_id": "8821840"}, {"ref": "mahmoud1992/3d-object-detection-yolov3-keras", "kernel_id": "9009829"}, {"ref": "raakesh96/yolov3-keras-object-detection-19023", "kernel_id": "9672605"}, {"ref": "snehaas/autonomous-vehicle-detection", "kernel_id": "10971572"}, {"ref": "gledsonmelotti/ll5-crop-boundingbox-frame-pointcloud", "kernel_id": "12256733"}, {"ref": "sohan083/yolov3-keras-image-object-detection", "kernel_id": "12841994"}, {"ref": "shubhankartiwari/yolo-object-detection", "kernel_id": "12621068"}, {"ref": "senzheng93/reference-model", "kernel_id": "13249139"}, {"ref": "zrstupid01/reference-model", "kernel_id": "13250573"}, {"ref": "davidjacksonwandb/3d-point-cloud-logging", "kernel_id": "13455382"}, {"ref": "dupatipenchalaia/varshith-yolov3-keras-image-object-detection", "kernel_id": "15652452"}, {"ref": "garbamoussa/tp-courssignal", "kernel_id": "16999857"}, {"ref": "sahilchachra/convert-lyft-dataset-to-kitty", "kernel_id": "16058468"}, {"ref": "infernalzeus20/eda-understanding-the-dataset-with-3d-plots", "kernel_id": "16089675"}, {"ref": "infernalzeus20/yolo-object-detection", "kernel_id": "16089153"}, {"ref": "sanketdhuri/tryout2", "kernel_id": "20784820"}, {"ref": "sakshaymahna/lyft-3d-object-detection-eda", "kernel_id": "21802831"}, {"ref": "sakshaymahna/yolov3-keras-2d-object-detection", "kernel_id": "21908650"}, {"ref": "venkatapavan/minorproject-batch-107", "kernel_id": "21379342"}, {"ref": "ruchimittal/object-detection-automated-vehicle", "kernel_id": "26252436"}, {"ref": "samanemami/understanding-lidar-data", "kernel_id": "32123168"}, {"ref": "liucong12601/mlchapter4-explore-data", "kernel_id": "32764307"}, {"ref": "liucong12601/mlchapter4-yolov3", "kernel_id": "32779862"}, {"ref": "huphcl/yolov3-1", "kernel_id": "33605815"}, {"ref": "timothyalexjohn/yolov3-keras", "kernel_id": "34906585"}, {"ref": "srisiddhartha/reference-model", "kernel_id": "37370395"}, {"ref": "nouranhady21/yolov3-keras-2d-object-detection", "kernel_id": "39120004"}, {"ref": "chuyu99/d-ng-3d-point-cloud-c-vi-n-chi-n", "kernel_id": "39783507"}, {"ref": "tuytnhilmtgfg/m-h-nh-3d-lidar", "kernel_id": "39297391"}, {"ref": "tuytnhilmtgfg/3d-n-oooooooooooooooooooooo", "kernel_id": "39190042"}, {"ref": "tuytnhilmneh/m-h-nh-3d-lidar", "kernel_id": "39550784"}, {"ref": "tuytnhilmneh/3d-ch-nh", "kernel_id": "39777549"}, {"ref": "aupurbo392000/lyft-comp", "kernel_id": "40278104"}, {"ref": "ahmedmabdelrashied/yolov3-keras-image-object-detection", "kernel_id": "42389361"}, {"ref": "sudoshivam/yolov8-object-detection-for-autonomous-vehicles", "kernel_id": "42040043"}, {"ref": "sudoshivam/2d-car-detection-yolov3", "kernel_id": "42031572"}, {"ref": "hsw1212/yolov8-object-detection-for-autonomous-vehicles", "kernel_id": "42145079"}, {"ref": "shree911/lidar-object-det-lyft", "kernel_id": "43727417"}, {"ref": "rahmatullahmahin/3d-point-cloud-brain-tumor", "kernel_id": "44858521"}, {"ref": "khan1803115/lyftairin", "kernel_id": "47363741"}, {"ref": "maddipatirohith/yolov3-lyft-dataset", "kernel_id": "53280896"}, {"ref": "gunjankumarmishra/lyft-competition-understanding-the-data", "kernel_id": "55077701"}, {"ref": "anaskadi/3d-object-detection", "kernel_id": "58434809"}, {"ref": "manasamylavarapu/car-detection-yolo", "kernel_id": "64386901"}, {"ref": "sudhanshusuvasiya/lyft-comp", "kernel_id": "65540626"}, {"ref": "daksh786/yolov3-keras-image-object-detection", "kernel_id": "72084632"}, {"ref": "kundanaapilla/yolov3-keras-2d-object-detection", "kernel_id": "76637537"}, {"ref": "helloworld349759/autovision", "kernel_id": "78367303"}, {"ref": "sanjayprabhuk/autonomous-driving-lyft-competition-eda", "kernel_id": "95775383"}, {"ref": "johannmathew/jugaadi-v5", "kernel_id": "112072132"}, {"ref": "mansishukla04/ps26053", "kernel_id": "132688794"}]}
{"competition_id": "15778", "kernels": []}
{"competition_id": "15780", "kernels": []}
{"competition_id": "15786", "kernels": []}
{"competition_id": "15789", "kernels": []}
{"competition_id": "15793", "kernels": [{"ref": "abrahamoladeye/kernel4023099176", "kernel_id": "6558707"}, {"ref": "peterowoade/kernel50c7b55720", "kernel_id": "6558952"}, {"ref": "akinwaleogunkoya/kernel250f3163fa", "kernel_id": "6559058"}, {"ref": "lolaodedere/kernel5934264e4b", "kernel_id": "6559653"}, {"ref": "akinmadeoloyede/kernel52c5e54972", "kernel_id": "6559374"}, {"ref": "adedolapooguntayo/building-claims-challenge", "kernel_id": "6559165"}]}
{"competition_id": "15813", "kernels": []}
{"competition_id": "15836", "kernels": []}
{"competition_id": "15838", "kernels": [{"ref": "abhaykat78/find-the-fund", "kernel_id": "5898712"}]}
{"competition_id": "15845", "kernels": [{"ref": "claudiohfg/gallivanters-public-score-0-77609", "kernel_id": "5849655"}, {"ref": "abhaykat78/gallivanters-coin-recognition", "kernel_id": "5898824"}]}
{"competition_id": "15848", "kernels": [{"ref": "claudiohfg/chh-ola-xgboost-public-score-2-36512", "kernel_id": "5878601"}, {"ref": "tanweerulhaque/chh-ola-predict-fares", "kernel_id": "12487207"}, {"ref": "saieshhalshikar/chh-ola-xgboost-public-score-2-36512", "kernel_id": "36427895"}, {"ref": "shrikrishnapai/ola-dataset", "kernel_id": "43153247"}]}
{"competition_id": "15856", "kernels": []}
{"competition_id": "15865", "kernels": [{"ref": "datasniffer/quickstart-physical-activity-recognition-2019", "kernel_id": "5599467"}, {"ref": "maraamsterdam/run1group4", "kernel_id": "5932432"}, {"ref": "creatureclock/first-submission-ranran-vukasin", "kernel_id": "5932471"}, {"ref": "creatureclock/final-submission-ranran-vukasin", "kernel_id": "5945859"}, {"ref": "yelizabeth/group-3", "kernel_id": "5932397"}, {"ref": "khuthuva/amusement-notebook1", "kernel_id": "5929175"}, {"ref": "josefjaeger/team-7-notebook", "kernel_id": "5930202"}, {"ref": "josefjaeger/final-7-finally", "kernel_id": "5974460"}, {"ref": "thomasgimbrere/final-version-fst-group-2", "kernel_id": "5974211"}, {"ref": "irisuva/competition-2-anna-iris", "kernel_id": "5917386"}, {"ref": "francescoangileri/final-notebook-group-4", "kernel_id": "5974738"}, {"ref": "mdouva/competition2-thomasmichelle-secondversion", "kernel_id": "5956126"}, {"ref": "mdouva/competition2-thomasmichelle", "kernel_id": "5932564"}, {"ref": "bankjob/de-3j-s-jemke-group5", "kernel_id": "5933733"}, {"ref": "faireuneuf/assignment-ii-driej-s", "kernel_id": "5917639"}, {"ref": "fdetant/sft-notebook", "kernel_id": "5932426"}, {"ref": "yinguva/final-version-fst-group-2", "kernel_id": "11897893"}]}
{"competition_id": "15870", "kernels": []}
{"competition_id": "15909", "kernels": [{"ref": "bencrabbe/tp1-perceptron-point-de-d-part", "kernel_id": "5877554"}]}
{"competition_id": "15924", "kernels": [{"ref": "daquisu/utilizando-notebooks-no-kaggle", "kernel_id": "5836591"}, {"ref": "dylankheleno/kernel38d4af8233", "kernel_id": "5923535"}, {"ref": "aezequieljr/pmr3508-2019-2", "kernel_id": "5988861"}, {"ref": "denahys/pmr3508-2019-69-adult", "kernel_id": "5901653"}, {"ref": "mariogabrielg/notebook-pmr3508-adults-costa-rica", "kernel_id": "5898947"}, {"ref": "iltonandrew/pmr3508-2019-43-using-knn-predicator-on-the-adul", "kernel_id": "5861026"}, {"ref": "tmtutui/pmr3508-2019-86", "kernel_id": "5979590"}, {"ref": "lucasnseq97/pmr3508-2019-56-knn-adult", "kernel_id": "5811247"}, {"ref": "thomazpougy/pmr3508-84-exercise-1-adult-dataset-knn", "kernel_id": "5891848"}, {"ref": "rod1nho/pmr3508-2019-79", "kernel_id": "5983494"}, {"ref": "nathanmimoso/pmr3508-2019-71", "kernel_id": "5965698"}, {"ref": "marcosfsaito/pmr3508-59", "kernel_id": "5963980"}, {"ref": "higorsc/pmr3508-2019-42-knn-adult-e-household", "kernel_id": "5911850"}, {"ref": "fabioyono/kernel5d87e21931", "kernel_id": "5964735"}, {"ref": "joaopaulo1409/pme3508-2019-45-knn", "kernel_id": "5978277"}, {"ref": "gsatogas/pmr3508-2019-28-knn", "kernel_id": "5922934"}, {"ref": "ttmrtn/adulthousehold", "kernel_id": "5981755"}, {"ref": "adrianoa/pmr3508-2019-1", "kernel_id": "5980128"}, {"ref": "inaciobruno/pmr3508-2019-13-base-adult-knn", "kernel_id": "5932296"}, {"ref": "elytis08/pmr3508-2019-70-knn-classifier-on-adult-base", "kernel_id": "5835836"}, {"ref": "kojimisumi/pmr3508-2019-3", "kernel_id": "5965365"}, {"ref": "kenzodecker/pmr3508-2019-52", "kernel_id": "5982044"}, {"ref": "ryukio/pmr-3508-2019-80", "kernel_id": "5965042"}, {"ref": "tocoquinho/ep1-knn", "kernel_id": "5980643"}, {"ref": "karsion/base-adult-50", "kernel_id": "5809243"}, {"ref": "thigaroca/pmr3508-2019-82-tarefa1", "kernel_id": "5981167"}, {"ref": "lhsakurai/pmr3508-2019-55-adult", "kernel_id": "5934270"}, {"ref": "vitormorilha/pmr3508-2019-90", "kernel_id": "5981259"}, {"ref": "caiogc/pmr3508-2019-14", "kernel_id": "5953340"}, {"ref": "joaopdn/pmr-3508-2019-46adult-costarica", "kernel_id": "5951459"}, {"ref": "nataliathoma/pmr3508-2019-68", "kernel_id": "5965055"}, {"ref": "brusuzuki/pmr3508-2019-12", "kernel_id": "5981898"}, {"ref": "borbapugliese/pmr3508-2019-53-knn-adult", "kernel_id": "5976268"}, {"ref": "borbapugliese/kernel51dab30233", "kernel_id": "5962154"}, {"ref": "rmyamguchi/pmr3508-2019-77", "kernel_id": "5980869"}, {"ref": "danielsh11/pmr3508-2019-16-knn", "kernel_id": "5978321"}, {"ref": "lalanja/pmr-3508-2019-91", "kernel_id": "5850427"}, {"ref": "julianalopes/pmr3508-2019-47-base-adult", "kernel_id": "5899918"}, {"ref": "anzae2/pmr3508-2019-4", "kernel_id": "5982170"}, {"ref": "luidferreira/adult-knn-lui-ferreira", "kernel_id": "5965956"}, {"ref": "vitoram/pmr3508-2019-88", "kernel_id": "5981192"}, {"ref": "guilhermerussods/pmr3508-2019-35", "kernel_id": "5951098"}, {"ref": "guilhermerussods/pmr3508-2019-35-knn", "kernel_id": "5980876"}, {"ref": "caihud/base-adult", "kernel_id": "5993344"}, {"ref": "biancafsilva/pmr3508-2019-11", "kernel_id": "5977950"}, {"ref": "isadorarb/pmr3508-2019-44-adult-knn", "kernel_id": "5980789"}, {"ref": "giuliadc/pmr3508-2019-34-knn-adult-income", "kernel_id": "5952509"}, {"ref": "gugiardullo/pmr3508-2019-39-knn-adult", "kernel_id": "5938025"}, {"ref": "kaiotakase/pmr3508-2019-49", "kernel_id": "5925284"}, {"ref": "kaiotakase/pmr3508-2019-49-knn", "kernel_id": "5965946"}, {"ref": "paulovianna/trabalho-aprendizado-maquinas", "kernel_id": "5982050"}, {"ref": "biasantin/pmr3508-2019-10", "kernel_id": "5952149"}, {"ref": "gustavobisinotto/pmr3508-2019-38", "kernel_id": "5975035"}, {"ref": "danieltsutsumi/pmr3508-2019-17", "kernel_id": "5981275"}, {"ref": "mvroso/kernel477ca9b723", "kernel_id": "5980304"}, {"ref": "gabrielmarq55/pmr3508-2019-29", "kernel_id": "5981746"}, {"ref": "menonj/pmr-3508-61", "kernel_id": "5992796"}, {"ref": "diegorodrigues/pmr3508-2019-2-19", "kernel_id": "6951865"}, {"ref": "aezequieljr/pmr3508-2019-2-2", "kernel_id": "6949594"}, {"ref": "fernandovgmonteiro/pmr3508-2019-2-26", "kernel_id": "6979550"}, {"ref": "fernandovgmonteiro/kernelcb75221196", "kernel_id": "6080241"}, {"ref": "pedrohgian/pmr3508-2019-2-75", "kernel_id": "6948477"}, {"ref": "pedrohgian/pmr3508-2019-2-75-v2", "kernel_id": "6948688"}, {"ref": "denahys/pmr3508-2019-2-69", "kernel_id": "6928045"}, {"ref": "mmenonj/pmr3508-2019-2-61", "kernel_id": "6952719"}, {"ref": "iltonandrew/pmr3508-2-43-extra", "kernel_id": "6941797"}, {"ref": "tmtutui/pmr3508-2019-2-86", "kernel_id": "6943878"}, {"ref": "lucasnseq97/pmr3508-2019-2-56-adult-classifiers-extra", "kernel_id": "6829046"}, {"ref": "thomazpougy/pmr3508-2-2019-84", "kernel_id": "6950086"}, {"ref": "rod1nho/pmr3508-2019-2-79", "kernel_id": "6952466"}, {"ref": "nathanmimoso/pmr3508-2019-2-71", "kernel_id": "6940819"}, {"ref": "markblzao/pmr3508-2019-2-60", "kernel_id": "6673446"}, {"ref": "marcosfsaito/pmr3508-2019-2-59", "kernel_id": "6891925"}, {"ref": "higorsc/pmr3508-2019-2-42", "kernel_id": "6949036"}, {"ref": "joaopaulo1409/pmr3508-2019-2-45", "kernel_id": "6907390"}, {"ref": "gsatogas/pmr3508-2-28-extra", "kernel_id": "6951164"}, {"ref": "ttmrtn/pmr3508-2019-2-85", "kernel_id": "6951418"}, {"ref": "adrianoa/pmr3508-2019-2-1", "kernel_id": "6950728"}, {"ref": "inaciobruno/pmr3508-2019-2-13", "kernel_id": "6858348"}, {"ref": "elytis08/pmr3508-2019-2-70", "kernel_id": "6834367"}, {"ref": "kenzodecker/pmr3508-2019-2-52", "kernel_id": "6831538"}, {"ref": "ryukio/pmr3508-2019-2-80", "kernel_id": "6952497"}, {"ref": "tocoquinho/pmr3508-2019-2-33", "kernel_id": "6943093"}, {"ref": "karsion/pmr3508-2019-2-50", "kernel_id": "6683239"}, {"ref": "thigaroca/pmr3508-2019-2-82", "kernel_id": "6949643"}, {"ref": "lhsakurai/pmr3508-2019-2-55", "kernel_id": "6948644"}, {"ref": "ghirata10/pmr3508-2019-2-30", "kernel_id": "6942695"}, {"ref": "joaopdn/pmr3508-2019-2-46", "kernel_id": "6949429"}, {"ref": "nataliathoma/pmr3508-2019-2-68", "kernel_id": "6952317"}, {"ref": "brusuzuki/pmr3508-2019-2-12", "kernel_id": "6948585"}, {"ref": "borbapugliese/pmr3508-2019-2-53", "kernel_id": "6946364"}, {"ref": "montas013/pmr3508-2019-36", "kernel_id": "6933637"}, {"ref": "rmyamguchi/pmr3508-2019-2-77", "kernel_id": "6924108"}, {"ref": "fernandoz/pm3508-hash27", "kernel_id": "6952119"}, {"ref": "danielsh11/pmr3508-2019-2-16", "kernel_id": "6951989"}, {"ref": "lalanja/pmr3508-2019-91-2", "kernel_id": "6842467"}, {"ref": "thiagoyukio83/pmr3508-2019-83-adult", "kernel_id": "6755511"}, {"ref": "anzae2/pmr3508-2019-2-4", "kernel_id": "6953234"}, {"ref": "luidferreira/pmr3508-2019-2-57-californiahousing-extra", "kernel_id": "6940770"}, {"ref": "guilhermerussods/pmr3508-2019-35-2-extra", "kernel_id": "6961415"}, {"ref": "biancafsilva/pmr3508-2019-2-11", "kernel_id": "6947841"}, {"ref": "isadorarb/pmr3508-2019-2-44-extra", "kernel_id": "6949466"}, {"ref": "therealnetto/pmr3508-2020-21", "kernel_id": "6939276"}, {"ref": "giuliadc/pmr3508-2019-2-34-t2", "kernel_id": "6951498"}, {"ref": "gugiardullo/pmr3508-2019-2-39", "kernel_id": "6926214"}, {"ref": "kaiotakase/pmr3508-2019-2-49", "kernel_id": "6843599"}, {"ref": "paulovianna/pmr3508-2019-2-73", "kernel_id": "6952011"}, {"ref": "biasantin/pmr3508-2019-2-10", "kernel_id": "6916354"}, {"ref": "gustavobisinotto/pmr3508-2019-2-38", "kernel_id": "6917668"}, {"ref": "gabrielmarq55/pmr3508-2019-2-29", "kernel_id": "6951918"}, {"ref": "vitormorilhaduarte/pmr3508-2019-2-90", "kernel_id": "6939300"}, {"ref": "pmr35082019288/pmr3508-2019-2-88", "kernel_id": "6953871"}, {"ref": "vitorgt/pmr3508-adult-census-income-prediction", "kernel_id": "11817918"}, {"ref": "lopess/adult", "kernel_id": "11698720"}, {"ref": "ekantem/pmr3508-2020-60", "kernel_id": "11833377"}, {"ref": "guilhermesugahara/pmr3508-2020-20-tarefa-1", "kernel_id": "11832994"}, {"ref": "berbardo/pmr3508-2020-151-analise-e-predicao-adult", "kernel_id": "11506805"}, {"ref": "vitorcanineokomar/pmr3508-2020-161", "kernel_id": "11805082"}, {"ref": "samallis/pmr3508-2020-01", "kernel_id": "11831552"}, {"ref": "thiagoyukio83/pmr3508-2020-11", "kernel_id": "11831699"}, {"ref": "therealnetto/pmr3508-2020-1-21", "kernel_id": "11832626"}, {"ref": "joaoalexsb/pmr3508-2020-96", "kernel_id": "11527523"}, {"ref": "felipeteti/pmr-3508-2020-128", "kernel_id": "11811680"}, {"ref": "danielvitorp/pmr3508-2020-118", "kernel_id": "11662097"}, {"ref": "pmr3508201918/pmr3508-2020-8", "kernel_id": "11829530"}, {"ref": "sxcoder/pmr3508-2020-147", "kernel_id": "11779274"}, {"ref": "felipekenzomashuda/pmr3508-2020-72", "kernel_id": "11780256"}, {"ref": "enzobustos/pmr3508-2020-125", "kernel_id": "11696961"}, {"ref": "brunocaixetapiazza/pmr3508-2020-119", "kernel_id": "11834254"}, {"ref": "gustavonunesribeiro/pmr3508-2020-141", "kernel_id": "11814312"}, {"ref": "danielmaloufcozzubo/pmr3508-2020-31", "kernel_id": "11714132"}, {"ref": "anaclaramioto/pmr3508-2020-89", "kernel_id": "11837795"}, {"ref": "gilbertovilar/pmr3508-2020-13-adult-knn", "kernel_id": "11831906"}, {"ref": "marcelogug/pmr3508-2020-34-2", "kernel_id": "11830202"}, {"ref": "jrafaelrn/pmr3508-2020-180", "kernel_id": "11832920"}, {"ref": "eduardobaeninger/pmr3508-2020-166", "kernel_id": "11825763"}, {"ref": "gustavomsilva/pmr3508-2020-134", "kernel_id": "11832841"}, {"ref": "mariafernandarezende/pmr3508-adult", "kernel_id": "11791918"}, {"ref": "vitorthomazdacruz/pmr3508-2020-73", "kernel_id": "11844250"}, {"ref": "pmr35082019135/pmr3508-2020-135", "kernel_id": "11759336"}, {"ref": "gusolive/notebookfb8cae5ff3", "kernel_id": "11834157"}, {"ref": "gusolive/pmr3508-2020-54", "kernel_id": "11834850"}, {"ref": "pmr35082020149/pmr3508-2020-149", "kernel_id": "11832851"}, {"ref": "pmr3508202094/pmr3508-2020-94", "kernel_id": "11682260"}, {"ref": "pmr3508202042/pmr3508-2020-42", "kernel_id": "11817583"}, {"ref": "pmr3508202087/pmr3508-2020-87", "kernel_id": "11712243"}, {"ref": "pedromarzagao/pmr3508-2020-67", "kernel_id": "11832234"}, {"ref": "ltrschneider/pmr3508-ep1", "kernel_id": "11776209"}, {"ref": "gustavosatoborges/pmr3508-2020-55", "kernel_id": "11813447"}, {"ref": "pmr3508202027/pmr3508-2020-27", "kernel_id": "11832877"}, {"ref": "pmr3508202043/pmr3508-2020-43", "kernel_id": "11760455"}, {"ref": "isaaclucarellielias/pmr3508-adult-2020-145", "kernel_id": "11526121"}, {"ref": "arthuralvestasca/pmr3508-2020-17", "kernel_id": "11709629"}, {"ref": "rodrigoreis2002/pmr3508-2020-173", "kernel_id": "11642091"}, {"ref": "pmr35082020177/pmr3508-2020-177", "kernel_id": "11681857"}, {"ref": "pmr35082020165/pmr3508-2020-165", "kernel_id": "11832226"}, {"ref": "pmr35082020167/pmr3508-2020-167", "kernel_id": "11792216"}, {"ref": "pmr3508202071/pmr3508-2020-71", "kernel_id": "11828966"}, {"ref": "pmr3508202095/pmr3508-2020-95", "kernel_id": "11778002"}, {"ref": "pmr35082020148/pmr3508-2020-148", "kernel_id": "11662950"}, {"ref": "pmr35082020153/pmr3508-2019-153-knn-adult", "kernel_id": "11825127"}, {"ref": "muriloccdemoura/pmr3508-2020-99", "kernel_id": "11831037"}, {"ref": "jaquesbienmissrie/notebook06c5b10755", "kernel_id": "11564245"}, {"ref": "marcomatalani/pmr3508-2020-169", "kernel_id": "11833084"}, {"ref": "pmr3508202039/knn-adult", "kernel_id": "11741309"}, {"ref": "pmr35082020130/notebook-adult", "kernel_id": "11792818"}, {"ref": "pmr3508202036/pmr3508-2020-36", "kernel_id": "11599724"}, {"ref": "pmr3508202085/pmr3508-2020-85", "kernel_id": "11794186"}, {"ref": "pmr35082020144/pmr3508-2020-144-adult", "kernel_id": "11769620"}, {"ref": "pmr35082020226/pmr3508-2020-2-26", "kernel_id": "11758292"}, {"ref": "alvarora/adult-knn-pmr-3508-2020-5", "kernel_id": "11769434"}, {"ref": "pmr3508202012/pmr3508-2020-12", "kernel_id": "11796045"}, {"ref": "juliaemiivano/pmr3508-2020-156", "kernel_id": "11830369"}, {"ref": "pmr35082020127/pmr3508-2020-127", "kernel_id": "11745925"}, {"ref": "gabrielhmp/pmr3508-2020-121", "kernel_id": "11808098"}, {"ref": "pmr3508202063/pmr3508-2020-63", "kernel_id": "11901164"}, {"ref": "guilhermenalinmoraes/pmr3508-2020-137", "kernel_id": "11828491"}, {"ref": "julionagy/pmr3508-2020-163", "kernel_id": "11832731"}, {"ref": "lucascoffonimorrone/pmr3508-2020-168", "kernel_id": "11832657"}, {"ref": "pmr3508202029/pmr3508-2020-29-adult-1", "kernel_id": "11830835"}, {"ref": "pmr35082020101/pmr3508-2020-101", "kernel_id": "11795081"}, {"ref": "pmr3508202091/pmr3508-2020-91", "kernel_id": "11834177"}, {"ref": "pmr350820206/pmr3508-2020-6", "kernel_id": "11826707"}, {"ref": "jeancarlosmello/pmr3508-2020-114-adult", "kernel_id": "11756677"}, {"ref": "israelcubas/pmr3508-2020-104", "kernel_id": "11830117"}, {"ref": "pmr35082020120/pmr3508-2020-120-knn", "kernel_id": "11807413"}, {"ref": "henriquebarros/pmr3508-2020-129", "kernel_id": "11789144"}, {"ref": "pmr3508202082/pmr3508-2020-82", "kernel_id": "11832986"}, {"ref": "pmr3508202044/pmr3508-2020-44-adult", "kernel_id": "11812282"}, {"ref": "pmr3508202025/pmr3508-2020-25-tarefa01-knn", "kernel_id": "11828512"}, {"ref": "lucaszagobds/pmr3508-2020-160", "kernel_id": "11768827"}, {"ref": "pmr35082020142/pmr3508-2020-142", "kernel_id": "11679074"}, {"ref": "rlosker/pmr3508-2020-41-adult", "kernel_id": "11842162"}, {"ref": "rlosker/pmr3508-2020-41", "kernel_id": "11836607"}, {"ref": "pmr3508202014/pmr3508-2020-14-adult-knn", "kernel_id": "11832699"}, {"ref": "pmr35082020178/pmr3508-2020-178", "kernel_id": "11712250"}, {"ref": "pmr35082020157/pmr3508-2020-157-analise-e-predi-o-adult", "kernel_id": "11779867"}, {"ref": "pme3508202086/pmr3508-2020-86", "kernel_id": "11833994"}, {"ref": "viniciusdamin/pmr3508-2020-133", "kernel_id": "11794747"}, {"ref": "pmr3508202038/pmr3508-2020-38", "kernel_id": "11710613"}, {"ref": "pmr35082020100/pmr3508-2020-100", "kernel_id": "11836737"}, {"ref": "pmr3508202076/pmr3506-2020-76", "kernel_id": "11826830"}, {"ref": "pmr35082020132/pmr3508-2020-132", "kernel_id": "11831638"}, {"ref": "pmr35082020115/pmr3508-2020-115", "kernel_id": "11835852"}, {"ref": "kentsuzuki/pmr3508-2020-47-notebook", "kernel_id": "11766806"}, {"ref": "gustavofaia/pmr3508-2020-90-ep1", "kernel_id": "11814369"}, {"ref": "pmr3508202048/pmr3508-2020-48", "kernel_id": "11797117"}, {"ref": "pmr3508202050/pmr3508-2020-50-knn-para-o-dataset-adult", "kernel_id": "11724695"}, {"ref": "andrnagano/pmr3508-2020-138", "kernel_id": "11833544"}, {"ref": "pmr35082020116/pmr3508-2020-116", "kernel_id": "11814756"}, {"ref": "pmr35082020136/pmr3508-2020-136", "kernel_id": "11831989"}, {"ref": "franciscogaieski/pmr-3508-2020-32", "kernel_id": "11813795"}, {"ref": "pmr3508202061/pmr3508-2020-61", "kernel_id": "11832215"}, {"ref": "juliafrejat/pmr3508-2020-131-knn-adult", "kernel_id": "11806749"}, {"ref": "pmr3508202088/pmr3508-2020-88-knn-adult", "kernel_id": "11831964"}, {"ref": "pmr3508202056n/pmr3508-2020-56", "kernel_id": "11754404"}, {"ref": "pmr3508202062/pmr3508-2020-62", "kernel_id": "11833528"}, {"ref": "gabrielalencaar/pmr3508-2020-57-knn", "kernel_id": "11773840"}, {"ref": "gabrielcorteletti/pmr3508-2020-143", "kernel_id": "11828391"}, {"ref": "pmr35082020139/pmr3508-2020-139-knn", "kernel_id": "11835999"}, {"ref": "jooceccarelli/pmr3508-2020-16", "kernel_id": "11813531"}, {"ref": "gustavogarciafrozoni/pmr3508-2020-65", "kernel_id": "11834656"}, {"ref": "pmr35082020123/pmr-3508-2020-123", "kernel_id": "11810116"}, {"ref": "angeloby/pmr3508-2020-77", "kernel_id": "11834910"}, {"ref": "pmr350820207/pmr-3508-2020-7", "kernel_id": "11830825"}, {"ref": "paollafurquimdaud/adult-pmr3508-2020-23", "kernel_id": "11831833"}, {"ref": "pmr3508202059/pmr3508-2020-59", "kernel_id": "11828394"}, {"ref": "pmr3508202079/pmr3508-2020-79", "kernel_id": "11833380"}, {"ref": "pmr35082020154/pmr3508-2020-154", "kernel_id": "11796587"}, {"ref": "kaioogawa/pmr3508-2020-49", "kernel_id": "11835300"}, {"ref": "franciscommonteiro/pmr3508-2020-28", "kernel_id": "11830841"}, {"ref": "pmr35082020146/pmr3508-2020-146", "kernel_id": "11830239"}, {"ref": "pmr35082020158/classificadores-pmr3508-158", "kernel_id": "11828967"}, {"ref": "pmr35082020117/pmr3508-2020-117", "kernel_id": "11830308"}, {"ref": "pmr3508202040/notebookb43168ab2e", "kernel_id": "11829363"}, {"ref": "guilhermecampello/pmr3508-2020-81", "kernel_id": "11830289"}, {"ref": "pmr3508202093/pmr3508-2020-93", "kernel_id": "11835442"}, {"ref": "pmr35082020174/pmr3508-174-versao-antiga", "kernel_id": "11843508"}, {"ref": "pmr35082020112/pmr3508-2020-112", "kernel_id": "11832579"}, {"ref": "pmr3508202045/pmr3508-2020-45", "kernel_id": "11832809"}, {"ref": "pmr3508202046/pmr3508-2020-46", "kernel_id": "11833928"}, {"ref": "julianofonseca/pmr3508-2020-106", "kernel_id": "11829239"}, {"ref": "pmr3508202053/pmr3508-2020-53", "kernel_id": "11834919"}, {"ref": "pmr3508202053/notebookbb70ab9556", "kernel_id": "11833713"}, {"ref": "pmr3508202075/pmr3508-2020-75", "kernel_id": "11833389"}, {"ref": "pgalicia/pmr3508-2021-12-adult-knn", "kernel_id": "11831783"}, {"ref": "guilhermedeatorres/pmr3508-2020-105", "kernel_id": "11832784"}, {"ref": "andremreis/pmr3508-2020-122", "kernel_id": "11838357"}, {"ref": "pmr350820209349840/pmr3508-2020-22", "kernel_id": "11837669"}, {"ref": "pmr3508202015/notebook2500d77aad", "kernel_id": "11841072"}, {"ref": "murillooliveira/pmr3508-2020-33", "kernel_id": "11834518"}, {"ref": "vitorgt/pmr3508-adult-census-income-prediction-v2", "kernel_id": "13783766"}, {"ref": "lopess/pmr3508-2020-58-adult-2", "kernel_id": "13583182"}, {"ref": "ekantem/pmr3508-2020-60-ep4", "kernel_id": "13694589"}, {"ref": "guilhermesugahara/pmr3508-2020-20-adult-2", "kernel_id": "13677157"}, {"ref": "berbardo/pmr3508-2020-151-compara-o-de-classificadores", "kernel_id": "13471510"}, {"ref": "vitorcanineokomar/pmr3508-2020-161-2", "kernel_id": "13486830"}, {"ref": "thiagoyukio83/pmr3508-2020-11-adult-2", "kernel_id": "13687403"}, {"ref": "joaoalexsb/pmr3508-2020-96-2", "kernel_id": "13615249"}, {"ref": "felipeteti/pmr3508-128-2", "kernel_id": "13686734"}, {"ref": "danielvitorp/pmr3508-2020-118-2", "kernel_id": "13665972"}, {"ref": "pmr3508201918/pmr3508-2020-8-2", "kernel_id": "13684820"}, {"ref": "felipekenzomashuda/pmr3508-2020-72-ver2", "kernel_id": "13633341"}, {"ref": "brunocaixetapiazza/pmr3508-2020-119-2", "kernel_id": "13691517"}, {"ref": "henriqueigaiwang/pmr3508-2020-38-pt2", "kernel_id": "13583107"}, {"ref": "danielmaloufcozzubo/pmr3508-2020-31-comparisson", "kernel_id": "13676687"}, {"ref": "anaclaramioto/pmr3508-2020-project-4-89", "kernel_id": "13698244"}, {"ref": "gilbertovilar/pmr3508-2020-13-adult-2", "kernel_id": "13667354"}, {"ref": "caioasai/pmr3508-2020-37", "kernel_id": "13660380"}, {"ref": "eduardobaeninger/pmr3508-2020-166-2-comparando-classificadores", "kernel_id": "13680464"}, {"ref": "gustavomsilva/pmr3508-2020-134-v2-0", "kernel_id": "13696186"}, {"ref": "mariafernandarezende/pmr3508-175-2", "kernel_id": "13689502"}, {"ref": "pmr35082019135/pmr3508-2020-135-adult2", "kernel_id": "13643962"}, {"ref": "gusolive/pmr-2020-54-ep4", "kernel_id": "13729629"}, {"ref": "pmr3508202094/pmr3508-2020-94-adult-2", "kernel_id": "13493206"}, {"ref": "pmr3508202042/pmr3508-2020-42-2", "kernel_id": "13676611"}, {"ref": "pmr3508202087/pmr3508-2020-87-adult-comparison", "kernel_id": "13608051"}, {"ref": "pedromarzagao/pmr3508-2020-67-2", "kernel_id": "13689394"}, {"ref": "ltrschneider/pmr3505-2020-140-ep4", "kernel_id": "13587032"}, {"ref": "pmr3508202043/pmr3508-2020-43-parte2", "kernel_id": "13675506"}, {"ref": "arthuralvestasca/pmr3508-2020-17-multiple-models", "kernel_id": "13689796"}, {"ref": "rodrigoreis2002/pmr3508-2020-173-adult-2-new", "kernel_id": "13453055"}, {"ref": "pmr35082020177/pmr3508-2020-177-parte-2", "kernel_id": "13684869"}, {"ref": "pmr35082020165/pmr3508-2020-165-v2", "kernel_id": "13687329"}, {"ref": "pmr35082020167/pmr3508-2020-167-2", "kernel_id": "13658055"}, {"ref": "pmr3508202071/pmr3508-2020-71-02", "kernel_id": "13686005"}, {"ref": "pmr3508202095/pmr3508-2020-95-2", "kernel_id": "13664489"}, {"ref": "pmr35082020148/pmr3508-2020-148-parte-2", "kernel_id": "13660824"}, {"ref": "pmr35082020153/pmr3508-2020-153-vers-o-2", "kernel_id": "13684922"}, {"ref": "muriloccdemoura/pmr3508-2020-99-adult-pt-2", "kernel_id": "13685201"}, {"ref": "marcomatalani/pmr3508-2020-169-2", "kernel_id": "13687114"}, {"ref": "pmr3508202039/pmr3508-2020-39-adult-pt2", "kernel_id": "13498563"}, {"ref": "pmr35082020130/pmr3508-2020-130-vers-o-2", "kernel_id": "13641272"}, {"ref": "pmr3508202036/pmr3508-2020-36-p2", "kernel_id": "13570687"}, {"ref": "pmr3508202085/pmr3508-2020-85-2-entrega-final", "kernel_id": "13662799"}, {"ref": "pmr35082020144/ep4-144", "kernel_id": "13657224"}, {"ref": "pmr35082020226/pmr3508-2020-26-2", "kernel_id": "13681458"}, {"ref": "alvarora/pmr-3508-2020-5-adult-2", "kernel_id": "13637954"}, {"ref": "pmr3508202012/pmr3508-2020-12-comparacao-classificadores", "kernel_id": "13613192"}, {"ref": "juliaemiivano/pmr3508-2020-156-pt2", "kernel_id": "13603065"}, {"ref": "pmr3508202069/pmr3508-2020-69-2-classification-adult-pt2", "kernel_id": "13608455"}, {"ref": "pmr35082020127/pmr3508-2020-127-adult-novo", "kernel_id": "13629748"}, {"ref": "gabrielhmp/pmr3508-2020-121-2", "kernel_id": "13686359"}, {"ref": "pmr3508202063/pmr3508-2020-63-ep4", "kernel_id": "13687447"}, {"ref": "guilhermenalinmoraes/pmr3508-2020-137-v2", "kernel_id": "13686941"}, {"ref": "julionagy/pmr3508-2020-163-compara-o-de-classificadores", "kernel_id": "13688844"}, {"ref": "lucascoffonimorrone/pmr3508-2020-168-compara-o-dos-classificadores", "kernel_id": "13687135"}, {"ref": "pmr3508202029/pmr3508-2020-29-adult-2-classification", "kernel_id": "13665726"}, {"ref": "pmr35082020101/pmr3508-20202-101-2", "kernel_id": "13685954"}, {"ref": "pmr3508202091/pmr3508-2020-91-adult-2", "kernel_id": "13632491"}, {"ref": "pmr350820206/pmr3508-2020-6-adult-2-new", "kernel_id": "13229857"}, {"ref": "jeancarlosmello/pmr3508-2020-114-compara-o-de-classificadores", "kernel_id": "13584993"}, {"ref": "israelcubas/pmr3508-2020-104-2", "kernel_id": "13684387"}, {"ref": "pmr35082020120/pmr3508-2020-120-base-adult-2", "kernel_id": "13638260"}, {"ref": "henriquebarros/pmr3508-2020-129-classification-pt2", "kernel_id": "13610855"}, {"ref": "pmr3508202082/pmr3508-2020-82-2", "kernel_id": "13687453"}, {"ref": "pmr3508202044/pmr3508-2020-44-adult-part-2", "kernel_id": "13456111"}, {"ref": "pmr3508202025/pmr3508-2020-25-comparador", "kernel_id": "13690852"}, {"ref": "lucaszagobds/pmr3508-2020-160-adult-2", "kernel_id": "13600446"}, {"ref": "pmr35082020142/pmr3508-2020-142-adult-2", "kernel_id": "13660608"}, {"ref": "rlosker/pmr3508-2020-41-adult2", "kernel_id": "13682883"}, {"ref": "pmr35082020178/pmr3508-2020-178-adult-2", "kernel_id": "13637774"}, {"ref": "pmr35082020157/pmr3508-2020-157-classificadores-na-base-adult", "kernel_id": "13617947"}, {"ref": "viniciusdamin/pmr3508-2020-133-pt-2", "kernel_id": "13631176"}, {"ref": "pmr35082020100/pmr3508-2020-100-2", "kernel_id": "13685903"}, {"ref": "pmr3508202076/pmr3506-2020-76-ltimo-trabalho", "kernel_id": "13660393"}, {"ref": "pmr35082020132/pmr3508-2020-132-2", "kernel_id": "13657841"}, {"ref": "pmr35082020115/pmr3508-2020-115-classificadores-com-adult", "kernel_id": "13691423"}, {"ref": "gustavofaia/pmr3508-2020-90-ep4", "kernel_id": "13606859"}, {"ref": "pmr3508202048/pmr3508-2020-48-adult-pt-2", "kernel_id": "13434295"}, {"ref": "andrnagano/pmr3508-2020-138-2", "kernel_id": "13707960"}, {"ref": "pmr35082020116/pmr3508-2020-116-parte-2", "kernel_id": "13603879"}, {"ref": "pmr35082020136/pmr3508-2020-136-2-compara-o-classificadores", "kernel_id": "13640461"}, {"ref": "franciscogaieski/pmr3508-2020-32-ep4-classificadores", "kernel_id": "13687818"}, {"ref": "pmr3508202061/pmr3508-2020-61-2", "kernel_id": "13413420"}, {"ref": "juliafrejat/pmr3508-2020-131-classificadores-adult", "kernel_id": "13681010"}, {"ref": "pmr3508202088/pmr3508-2020-88-parte-2", "kernel_id": "13690039"}, {"ref": "pmr3508202056n/pmr3508-2020-56-adult-database-comparison", "kernel_id": "13684649"}, {"ref": "pmr3508202062/classification-adult-dataset", "kernel_id": "13691094"}, {"ref": "gabrielalencaar/pmr3508-2020-57-adult-dataset", "kernel_id": "13633815"}, {"ref": "gabrielcorteletti/pmr3508-2020-143-compara-o-de-classificadores", "kernel_id": "13629808"}, {"ref": "pmr35082020139/pmr3508-2020-139-2-classification", "kernel_id": "13696765"}, {"ref": "jooceccarelli/pmr3508-2020-16-2", "kernel_id": "13662521"}, {"ref": "gustavogarciafrozoni/pmr3508-2020-65-versao-2", "kernel_id": "13696544"}, {"ref": "pmr35082020123/pmr-3508-2020-123-parte-2", "kernel_id": "13660489"}, {"ref": "angeloby/pmr3508-2020-77-adult-2", "kernel_id": "13665863"}, {"ref": "yurilp/notebook4d7ba74d28", "kernel_id": "13710173"}, {"ref": "yurilp/notebook793a8ad4c7", "kernel_id": "13715355"}, {"ref": "pmr350820207/pmr3508-2020-7-trabalho-4", "kernel_id": "13705367"}, {"ref": "paollafurquimdaud/adult-pt2-pmr3508-23", "kernel_id": "13414201"}, {"ref": "pmr3508202059/pmr3508-2020-59-pt2", "kernel_id": "13633940"}, {"ref": "pmr3508202079/pmr3508-2020-79-2", "kernel_id": "13670736"}, {"ref": "pmr35082020154/pmr3508-2020-154-2", "kernel_id": "13679945"}, {"ref": "kaioogawa/pmr3508-2020-49-adult-pt2", "kernel_id": "13612724"}, {"ref": "franciscommonteiro/pmr3508-2020-28-2", "kernel_id": "13661287"}, {"ref": "pmr35082020146/pmr3508-2020-146-pt2", "kernel_id": "13608619"}, {"ref": "pmr3508202040/ep4-pmr3508-40", "kernel_id": "13664050"}, {"ref": "guilhermecampello/pmr3508-2020-81-2", "kernel_id": "13675298"}, {"ref": "pmr3508202093/pmr3508-2020-93-ep4", "kernel_id": "13475410"}, {"ref": "pmr35082020174/pmr3508-174-versao2", "kernel_id": "13519282"}, {"ref": "pmr3508202046/pmr3508-2020-46-2-entrega", "kernel_id": "13687640"}, {"ref": "pmr3508202053/pmr3508-2020-53-classification-with-adult-dataset", "kernel_id": "13693357"}, {"ref": "pmr3508202075/pmr3508-2020-75-compara-o-de-classificadores", "kernel_id": "13692292"}, {"ref": "pgalicia/pmr3508-2020-24-2-entrega", "kernel_id": "13691457"}, {"ref": "guilhermedeatorres/pmr3508-2020-105-classification", "kernel_id": "13677909"}, {"ref": "pmr350820209349840/pmr3508-2020-22-pt2", "kernel_id": "13644248"}, {"ref": "pmr3508202015/pmr3508-2020-15-adult-pt2", "kernel_id": "13322351"}, {"ref": "pmr3508202066/pmr3508-2020-66-adult-2", "kernel_id": "13679700"}, {"ref": "murillojaf/pmr3508-2020-33-2", "kernel_id": "13687985"}, {"ref": "juliapocciotti/pmr3508-2021-92-adult-knn", "kernel_id": "20822418"}, {"ref": "lucasokamura/pmr3508-2021-50-adult-knn", "kernel_id": "20610511"}, {"ref": "lucaskyoshimiyazaki/pmr3508-2021-28-adult-knn", "kernel_id": "20870425"}, {"ref": "user158657/pmr3508-2021-91-adultknn", "kernel_id": "20999589"}, {"ref": "pmr35082020174/teste", "kernel_id": "20794998"}, {"ref": "sergiocontente/pmr3508-2021-122", "kernel_id": "20608744"}, {"ref": "tomasolenscki/pmr3508-2021-120-adult-knn", "kernel_id": "20801168"}, {"ref": "brunomatutanisantos/pmr3508-2021-126-adult-knn", "kernel_id": "20781095"}, {"ref": "rafaelscaffgeraldes/pmr3508-2021-100", "kernel_id": "20996884"}, {"ref": "pmr35082021103/pmr508-2021-103-adult-knn", "kernel_id": "20941630"}, {"ref": "albierocezar/pmr3508-2021-162", "kernel_id": "20697604"}, {"ref": "vitorusp/pmr3508-2021-16-adult-knn", "kernel_id": "20680852"}, {"ref": "brendamoreira/pmr3508-2021-131-adultknn", "kernel_id": "20843125"}, {"ref": "pmr35082021141/pmr3508-2021-141", "kernel_id": "20587916"}, {"ref": "pmr35082021155/pmr3508-2021-155-adultknn", "kernel_id": "20837468"}, {"ref": "pmr3508202147/pmr3508-2021-47-adult-knn", "kernel_id": "20917273"}, {"ref": "gustavolopesoliveira/pmr3508-2021-52-adultknn", "kernel_id": "20871508"}, {"ref": "pmr35082021156/pmr-3508-2021-156-adult-knn", "kernel_id": "20794652"}, {"ref": "pmr35082020106/pmr3508-2021-106-adult-knn", "kernel_id": "20754615"}, {"ref": "augustotakash1/pmr3508-2021-37-adultknn", "kernel_id": "20885174"}, {"ref": "pmr35082021149usp/pmr3508-2021-149-adultknn", "kernel_id": "20819553"}, {"ref": "tiagovckrause/pmr3508-2021-20-adultknn", "kernel_id": "20920165"}, {"ref": "pmr3508202140/pmr3508-2021-40-adultknn", "kernel_id": "20818642"}, {"ref": "bernardomoredorocco/pmr3508-2021-66-adultknn", "kernel_id": "20976301"}, {"ref": "pmr35082021163/pmr3508-2021-163-adult-knn", "kernel_id": "20819353"}, {"ref": "eduardojubranpascual/pmr3508-2021-113-adul-knn", "kernel_id": "20848539"}, {"ref": "pmr3508202130/pmr3508-2021-30-adult-knn", "kernel_id": "20791159"}, {"ref": "lestsuji/pmr3508-2021-60", "kernel_id": "20777573"}, {"ref": "pmr3508202181/pmr3508-2021-81-adult-knn", "kernel_id": "20797375"}, {"ref": "luizguilhermezanini/pmr3508-2021-80-adult-knn", "kernel_id": "20811505"}, {"ref": "gabrielprodrigues/pmr3508-2021-78-adult-knn", "kernel_id": "20814444"}, {"ref": "pmr3508202153/pmr3508-2021-53-adultknn", "kernel_id": "20819786"}, {"ref": "pmr35082021135/pmr3508-2021-135-adult-knn", "kernel_id": "20816234"}, {"ref": "pmr3508202182/pmr3508-2021-2-82", "kernel_id": "20819614"}, {"ref": "pmr3508202179/pmr3508-2021-79-adultknn", "kernel_id": "20821719"}, {"ref": "pmr3508202142/pmr3508-2021-42", "kernel_id": "20846287"}, {"ref": "pmr3508202168/pmr3508-2021-68-adultknn", "kernel_id": "20975519"}, {"ref": "pmr3508202151/pmr3508-2021-51-adultknn", "kernel_id": "20883799"}, {"ref": "pmr3508202194/pmr3508-2021-94-adult-knn", "kernel_id": "20996494"}, {"ref": "pmr3508202170/pmr3508-2021-70-adult-knn", "kernel_id": "20977912"}, {"ref": "pmr35082021124/pmr3508-2021-124-adult-knn", "kernel_id": "20996725"}, {"ref": "iscmaia/pmr3508-2021-11-adultknn", "kernel_id": "21044924"}, {"ref": "victorvianaom/pmr3508-2021-116-adultknn", "kernel_id": "21001307"}, {"ref": "brunoscaglione/pmr3508-2021-59-adultknn", "kernel_id": "21067997"}, {"ref": "fill1903/pmr3508-2021-49-adult-knn", "kernel_id": "21034450"}, {"ref": "pmr3508201918/pmr3508-2021-4", "kernel_id": "21021613"}, {"ref": "lucasokamura/pmr3508-2021-50-adultknn-ex2", "kernel_id": "21951529"}, {"ref": "lucashattoricosta/pmr3508-2021-35-adult-knn", "kernel_id": "21068472"}, {"ref": "marcosvvicente/pmr3508-2021-36-adultknn", "kernel_id": "21068588"}, {"ref": "gabiul2/pmr3508-2021-44-adultknn", "kernel_id": "21066271"}, {"ref": "vitorthomazdacruz/pmr3508-2021-45-adult-knn", "kernel_id": "21061749"}, {"ref": "guilhermebalio/pmr3508-2021-73-adult-knn", "kernel_id": "21062615"}, {"ref": "robertalerinlovisi/pmr3508-2021-22-adult-knn", "kernel_id": "21057466"}, {"ref": "anayoon/pmr3508-2021-110-adult-knn", "kernel_id": "21042517"}, {"ref": "douglacardoso/pmr3508-2021-119-adult-knn", "kernel_id": "21023001"}, {"ref": "murilofab/pmr3508-2021-145-adult-knn", "kernel_id": "21018627"}, {"ref": "marianaserrao/pmr3508-2021-105-adultknn", "kernel_id": "21065709"}, {"ref": "pmr35082021123/pmr3508-2021-123", "kernel_id": "21047727"}, {"ref": "pmr350820218/pmr3508-2021-8", "kernel_id": "21065205"}, {"ref": "caioguimaa/pmr3508-2021-144-adult-knn", "kernel_id": "21067388"}, {"ref": "joaopedroricciborejo/pmr3508-2021-83-adultknn", "kernel_id": "21049434"}, {"ref": "vitorbrazdealmeida/pmr3508-2021-87-knn-adult", "kernel_id": "21067161"}, {"ref": "vitorbrazdealmeida/pmr3508-2021-87-adult-knn", "kernel_id": "21063324"}, {"ref": "machinelearningboi/pmr3508-2021-93-adult-knn", "kernel_id": "21032317"}, {"ref": "vbenito/pmr3508-2021-48-adultknn", "kernel_id": "21041237"}, {"ref": "zezinho97/notebookbfd6058cfe", "kernel_id": "21047426"}, {"ref": "pmr35082021127/pmr3508-2021-127-adultknn", "kernel_id": "21045263"}, {"ref": "pedrogds/pmr3508-2021-88", "kernel_id": "21065538"}, {"ref": "rosenfas/pmr3508-2021-32", "kernel_id": "21049322"}, {"ref": "pmr3508202199/pmr-3508-2021-99", "kernel_id": "21064427"}, {"ref": "frubelo/pmr3508-2021-27", "kernel_id": "21064705"}, {"ref": "pmr35082021157/pmr3508-2021-157-adult-knn", "kernel_id": "21000894"}, {"ref": "lolozim/pmr3508-2021-39", "kernel_id": "21040410"}, {"ref": "pmr3508202157/pmr3508-2021-57-knn", "kernel_id": "21058207"}, {"ref": "pmr3508202162/pmr3508-2021-62-adultknn", "kernel_id": "21040060"}, {"ref": "pmr3508202165/pmr3508-2021-65-adultknn", "kernel_id": "21057971"}, {"ref": "rahulcasanovas/pmr3508-2021-148-knnadult", "kernel_id": "21063058"}, {"ref": "pmr35082021107/pmr3508-2021-107-adultknn", "kernel_id": "21068433"}, {"ref": "gmenezes/pmr3508-2021-adult-knn", "kernel_id": "21063985"}, {"ref": "pmr35082021130/pmr3508-2021-130-adults-knn", "kernel_id": "21023250"}, {"ref": "pmr350820216/notebook-pmr3508-2021-6", "kernel_id": "21070894"}, {"ref": "thomasoshima/pmr3508-2021-24-adultknn", "kernel_id": "21064582"}, {"ref": "pmr350820217/pmr3508-2021-7-adultknn", "kernel_id": "21050643"}, {"ref": "paulopvpr/pmr3508-2021-97", "kernel_id": "21045525"}, {"ref": "pmr350820219/pmr3508-2021-9-adultknn", "kernel_id": "21068245"}, {"ref": "pmr3508202133/pmr3508-2021-33-adultknn", "kernel_id": "21067630"}, {"ref": "pmr3508202117/pmr3508-2021-17-adult-knn", "kernel_id": "21037653"}, {"ref": "pmr35082021136/pmr3508-2021-136-adult-knn", "kernel_id": "21041496"}, {"ref": "pmr3508202198/pmr3508-2021-98-adult-knn", "kernel_id": "21068295"}, {"ref": "pmr3508202146/pmr3508-2021-46-adultknn", "kernel_id": "21063484"}, {"ref": "jordangpbsantos/pmr3508-2021-23-adult-knn", "kernel_id": "21064010"}, {"ref": "pmr3508202174/pmr3508-2021-2-74", "kernel_id": "21045076"}, {"ref": "pmr3508202184/pmr3508-2021-84-adult-knn", "kernel_id": "21062511"}, {"ref": "pmr3508202109/pmr3508-2021-109", "kernel_id": "21068575"}, {"ref": "beatrizcastex/pmr3508-2021-71-adult-knn", "kernel_id": "21066115"}, {"ref": "gabrielaffanucchi/pmr3508-2021-77-adult-knn", "kernel_id": "21068066"}, {"ref": "pmr3508202155/pmr3508-2021-55", "kernel_id": "21065224"}, {"ref": "pmr35082021104/pmr3508-2021-104-adult-knn", "kernel_id": "21069303"}, {"ref": "pmr3508202176/pmr3508-2021-76-adultknn", "kernel_id": "21069548"}, {"ref": "kaggleexploit/dataset-exploit", "kernel_id": "21069461"}, {"ref": "mariogba/pmr3508-2021-2-15", "kernel_id": "22898800"}, {"ref": "iscmaia/pmr3508-2021-2-11-adultknn", "kernel_id": "22435237"}, {"ref": "victorvianaom/pmr3508-2021-2-116-adultknn", "kernel_id": "22566010"}, {"ref": "juliapocciotti/pmr3508-2021-2-92", "kernel_id": "22515961"}, {"ref": "brunoscaglione/pmr3508-2021-2-59-adult4classifiers", "kernel_id": "22414885"}, {"ref": "fill1903/pmr3508-2021-2-49", "kernel_id": "22597323"}, {"ref": "pmr3508201918/pmr3508-2021-2-4", "kernel_id": "22627030"}, {"ref": "lucashattoricosta/pmr3508-2021-2-35", "kernel_id": "22663801"}, {"ref": "lucaskyoshimiyazaki/pmr3508-2021-2-28", "kernel_id": "22543068"}, {"ref": "marcosvvicente/pmr3508-2021-2-36", "kernel_id": "22662327"}, {"ref": "vitorthomazdacruz/pmr3508-2021-2-45", "kernel_id": "22596087"}, {"ref": "user158657/pmr3508-2021-2-91", "kernel_id": "22649854"}, {"ref": "guilhermebalio/pmr3508-2021-2-73", "kernel_id": "22660007"}, {"ref": "pgalicia/pmr3508-2021-2-12", "kernel_id": "22665995"}, {"ref": "robertalerinlovisi/pmr3508-2021-2-22-adultknn", "kernel_id": "22645571"}, {"ref": "anayoon/pmr3508-2021-2-110", "kernel_id": "22566580"}, {"ref": "douglacardoso/pmr3058-2021-2-119", "kernel_id": "22664620"}, {"ref": "tomasolenscki/pmr3508-2021-2-120", "kernel_id": "22284417"}, {"ref": "murilofab/pmr3508-2021-2-145", "kernel_id": "22518171"}, {"ref": "marianaserrao/pmr3508-2021-2-105", "kernel_id": "22564168"}, {"ref": "brunomatutanisantos/pmr3508-2021-2-126", "kernel_id": "22548101"}, {"ref": "rafaelscaffgeraldes/pmr3508-2021-2-100", "kernel_id": "22661050"}, {"ref": "pmr35082021103/pmr3508-2021-2-103", "kernel_id": "22566013"}, {"ref": "albierocezar/pmr3508-2021-2-162", "kernel_id": "22123644"}, {"ref": "vitorusp/pmr3508-2021-2-16", "kernel_id": "22442578"}, {"ref": "pmr35082021123/pmr3508-2021-2-123", "kernel_id": "22516796"}, {"ref": "brendamoreira/pmr3508-2021-2-131", "kernel_id": "22520704"}, {"ref": "pmr35082021141/pmr3508-2021-2-141", "kernel_id": "22313511"}, {"ref": "pmr35082021155/pmr3508-2021-2-155", "kernel_id": "22414019"}, {"ref": "pmr3508202147/pmr3508-2021-2-47", "kernel_id": "22498976"}, {"ref": "gustavolopesoliveira/pmr3508-2021-2-52", "kernel_id": "22499281"}, {"ref": "pmr35082021156/pmr3508-2021-2-156", "kernel_id": "22536775"}, {"ref": "pmr35082020106/pmr3508-2021-2-106", "kernel_id": "22467468"}, {"ref": "augustotakash1/pmr3508-2021-2-37", "kernel_id": "22465891"}, {"ref": "pmr35082021149usp/pmr3508-2021-2-149", "kernel_id": "22665358"}, {"ref": "caioguimaa/pmr3508-2021-2-144", "kernel_id": "22660108"}, {"ref": "tiagovckrause/pmr3508-2021-2-20", "kernel_id": "22468535"}, {"ref": "pmr3508202140/pmr3508-2021-2-40", "kernel_id": "22448795"}, {"ref": "joaopedroricciborejo/pmr3508-2021-2-83", "kernel_id": "22659594"}, {"ref": "bernardomoredorocco/pmr3508-2021-2-66-adultknn", "kernel_id": "22567216"}, {"ref": "pmr35082021163/pmr3508-2021-2-163", "kernel_id": "22596336"}, {"ref": "vitorbrazdealmeida/pmr3508-2021-2-87", "kernel_id": "22631168"}, {"ref": "eduardojubranpascual/pmr3508-2021-2-113", "kernel_id": "22561269"}, {"ref": "machinelearningboi/pmr3508-2021-2-93", "kernel_id": "22660692"}, {"ref": "pmr3508202130/pmr3508-2021-2-30", "kernel_id": "22546989"}, {"ref": "lestsuji/pmr3508-2021-2-60", "kernel_id": "22213761"}, {"ref": "pmr3508202181/pmr3508-2021-2-81", "kernel_id": "22539333"}, {"ref": "vbenito/pmr3508-2021-2-48", "kernel_id": "22651565"}, {"ref": "luizguilhermezanini/pmr3508-2021-2-80", "kernel_id": "22382858"}, {"ref": "gabrielprodrigues/pmr3508-2021-2-78", "kernel_id": "22647335"}, {"ref": "pmr3508202153/pmr3508-2021-2-53", "kernel_id": "22659842"}, {"ref": "pmr35082021135/pmr3508-2021-2-135", "kernel_id": "22615358"}, {"ref": "pmr35082021127/pmr3508-2021-2-127", "kernel_id": "22660939"}, {"ref": "pedrogds/pmr3508-2021-2-88", "kernel_id": "22648027"}, {"ref": "pmr3508202179/pmr3508-2021-2-79-adultknn-with-4-classifiers", "kernel_id": "22446488"}, {"ref": "pmr350895/pmr3508-2021-2-95", "kernel_id": "22625569"}, {"ref": "pmr3508202199/pmr3508-2021-2-99", "kernel_id": "22521244"}, {"ref": "frubelo/pmr3508-2021-2-27", "kernel_id": "22651411"}, {"ref": "pmr3508202142/pmr3508-2021-2-42", "kernel_id": "22333430"}, {"ref": "pmr3508202168/pmr3508-2021-2-68", "kernel_id": "22663530"}, {"ref": "pmr35082021157/pmr3508-2021-2-157", "kernel_id": "22473045"}, {"ref": "pmr3508202157/pmr3508-2021-2-57", "kernel_id": "22873011"}, {"ref": "pmr3508202162/pmr3508-2021-2-62", "kernel_id": "22537128"}, {"ref": "pmr3508202165/pmr3508-2021-2-65", "kernel_id": "22660836"}, {"ref": "pmr3508202194/pmr3508-2021-2-94", "kernel_id": "22498020"}, {"ref": "pmr3508202170/pmr3508-2021-2-70", "kernel_id": "22588762"}, {"ref": "pmr35082021124/pmr3508-2021-2-124", "kernel_id": "22649427"}, {"ref": "rahulcasanovas/pmr3508-2021-2-148", "kernel_id": "22661252"}, {"ref": "pmr35082021107/pmr3508-2021-2-107", "kernel_id": "22663314"}, {"ref": "gmenezes/pmr3508-2021-2-134", "kernel_id": "22561966"}, {"ref": "pmr35082021130/pmr3508-2021-2-130", "kernel_id": "22663451"}, {"ref": "thomasoshima/pmr3508-2021-2-24", "kernel_id": "22418230"}, {"ref": "pmr350820217/pmr3508-2021-2-7", "kernel_id": "22599744"}, {"ref": "paulopvpr/pmr3508-2021-97-ep2", "kernel_id": "22663761"}, {"ref": "pmr350820219/pmr3508-2021-2-9", "kernel_id": "22652391"}, {"ref": "pmr3508202133/pmr3508-2021-2-33", "kernel_id": "22662420"}, {"ref": "pmr3508202117/pmr3508-2021-2-17", "kernel_id": "22642703"}, {"ref": "pmr35082021136/pmr3508-2021-2-136", "kernel_id": "22631363"}, {"ref": "pmr3508202198/pmr3508-2021-2-98", "kernel_id": "22664445"}, {"ref": "pmr3508202146/pmr3508-2021-2-46", "kernel_id": "22627548"}, {"ref": "jordangpbsantos/pmr3508-2021-2-23", "kernel_id": "22660008"}, {"ref": "pmr3508202184/pmr3508-2021-2-84", "kernel_id": "22663117"}, {"ref": "joaomldelgado/pmr3508-2021-2-109", "kernel_id": "22663657"}, {"ref": "beatrizcastex/pmr3508-2021-2-71", "kernel_id": "22663962"}, {"ref": "pmr3508202155/pmr3508-2021-2-55", "kernel_id": "22647654"}, {"ref": "pmr35082021104/pmr3508-2021-2-104", "kernel_id": "22643789"}, {"ref": "pmr3508202176/pmr3508-2021-2-76", "kernel_id": "22665493"}, {"ref": "pmr3508202141/pmr3508-2021-41-adultknn", "kernel_id": "22632012"}, {"ref": "vidalgon/pmr3508-2022-10773029", "kernel_id": "30568216"}, {"ref": "lucaskahanbomfim/pmr3508-2022-85", "kernel_id": "30934346"}, {"ref": "luckes/pmr3508-2022-45-adult-knn", "kernel_id": "31841578"}, {"ref": "lucadillenburg/notebookf7c8b724be", "kernel_id": "31849664"}, {"ref": "carloslucas/pmr3508-2022-47-adult-knn", "kernel_id": "31842098"}, {"ref": "juaolobo/pmr3508-2022-35", "kernel_id": "31829926"}, {"ref": "willianwang/pmr3508-2022-1-57", "kernel_id": "31785219"}, {"ref": "lucascremaschi/pmr3508-2022-69", "kernel_id": "31807575"}, {"ref": "deutscda/pmr3508-2022-21", "kernel_id": "31837691"}, {"ref": "mateusmarques01/pmr3508-2022-37-adult-knn", "kernel_id": "31841701"}, {"ref": "pablonabil/adult-pmr3508-2022-16", "kernel_id": "31841638"}, {"ref": "pedrosemcovici/pmr3508-2022-87-adult-knn", "kernel_id": "31812967"}, {"ref": "yagoprimerano/pmr3508-2022-84-adult-knn", "kernel_id": "31838212"}, {"ref": "pedrorodr/pmr3508-2022-64-adultknn", "kernel_id": "31844394"}, {"ref": "atmatos/pmr3508-2022-80-adult-knn", "kernel_id": "31813941"}, {"ref": "victorpepe/pmr3508-2022-88", "kernel_id": "31334212"}, {"ref": "costaleirbag/pmr3508-2022-55", "kernel_id": "31841444"}, {"ref": "josemayer/pmr3508-2022-1-75", "kernel_id": "31754792"}, {"ref": "rodrigomotta/pmr3508-2022-38-adult-knn", "kernel_id": "31842192"}, {"ref": "evandroueharaviaro/adult-pmr3508-2022-hashcode2", "kernel_id": "31804746"}, {"ref": "yaechoi/pmr3508-2022-5", "kernel_id": "31841948"}, {"ref": "samsantosra/pmr3508-2022-77", "kernel_id": "31855243"}, {"ref": "paulamarindeoliveira/pmr3508-2022-44-adult-knn", "kernel_id": "31744902"}, {"ref": "pmr3508202271/pmr3508-2022-1-71", "kernel_id": "31824407"}, {"ref": "pmr3508202222/pmr3508-2022-22", "kernel_id": "31296676"}, {"ref": "guscarvas/pmr3508-2022-20", "kernel_id": "31811406"}, {"ref": "vinicosta/pmr3508-2022-4-adult-knn", "kernel_id": "31896041"}, {"ref": "giovannibarboza/pmr3508-2022-49-adult-knn", "kernel_id": "31670954"}, {"ref": "pmr3508202219/pmr3508-2022-19", "kernel_id": "31308032"}, {"ref": "vsternlicht/pmr3508-2022-10-adultknn", "kernel_id": "31043789"}, {"ref": "pmr3508202250/pmr3508-2022-1-50", "kernel_id": "31770981"}, {"ref": "pmr3508202248/pmr3508-2022-48-aduktknn", "kernel_id": "31328078"}, {"ref": "leonardotvalente/pmr3508-2022-86", "kernel_id": "31830617"}, {"ref": "joaohenriusp/pmr3508-2022-61-adult-knn", "kernel_id": "31698347"}, {"ref": "pmr3508202241/pmr3508-2022-41-adult-knn", "kernel_id": "31843943"}, {"ref": "pmr3508202215/pmr3508-2022-15-adultknn", "kernel_id": "31663157"}, {"ref": "pmr3508202227/pmr3508-2022-27-adult-knn", "kernel_id": "31831910"}, {"ref": "pmr3508202225/pmr3508-2022-25", "kernel_id": "31596571"}, {"ref": "pmr3508202212/pmr3508-2022-12-adultknn", "kernel_id": "31838182"}, {"ref": "pmr3508202289/adult-assignment-pmr3508-2022-89", "kernel_id": "31834235"}, {"ref": "andrewcarvalhodesa/pmr3508-hash90", "kernel_id": "31865659"}, {"ref": "pmr3508202233/pmr3508-2022-33", "kernel_id": "31815422"}, {"ref": "pmr3508202272/pmr3508-2022-72-adult-knn", "kernel_id": "31839963"}, {"ref": "pmr3508202282/pmr3508-2022-82", "kernel_id": "31843625"}, {"ref": "pmr3508202239/pmr3508-2022-39-adultknn", "kernel_id": "31811858"}, {"ref": "pmr3508202217/notebook71a7936013", "kernel_id": "31836952"}, {"ref": "pmr3508202259/pmr3508-2022-59-adult-knn", "kernel_id": "31841886"}, {"ref": "lucasnascimentotulha/notebook3ebf9689d6", "kernel_id": "31868577"}, {"ref": "guilhermeyamashita/pmr3508-2022-67-adultknn", "kernel_id": "31811192"}, {"ref": "pmr3508202228/pmr3508-2022-28-adult-knn", "kernel_id": "31844140"}, {"ref": "giovanitavares/pmr3508-2022-32", "kernel_id": "31819358"}, {"ref": "mrgribel/pmr3508-2022-66-adult-knn", "kernel_id": "31843350"}, {"ref": "pmr3508202218/pmr3508-2022-18-adult-knn", "kernel_id": "31843346"}, {"ref": "vitortonetti/pmr3508-2022-51-adult-knn", "kernel_id": "31844021"}, {"ref": "steliorobusti/pmr3508-2022-63-adultknn", "kernel_id": "31844994"}, {"ref": "pmr3508202283/pmr3508-2022-83-adultknn", "kernel_id": "31843255"}, {"ref": "pmr3508202223/pmr3508-2022-23-adult-knn", "kernel_id": "31844207"}, {"ref": "pmr350840/pmr3508-2022-2-40", "kernel_id": "31860139"}, {"ref": "lucaskahanbomfim/pmr3508-2022-2-85", "kernel_id": "32882865"}, {"ref": "pmr3508202222/pmr3508-2022-2-22", "kernel_id": "32713592"}, {"ref": "pmr3508202219/pmr3508-2022-2-19", "kernel_id": "32894912"}, {"ref": "vsternlicht/pmr3508-2022-2-10", "kernel_id": "32764474"}, {"ref": "luckes/pmr3508-2022-2-45", "kernel_id": "33458755"}, {"ref": "lucadillenburg/pmr3508-2022-2-62", "kernel_id": "33365783"}, {"ref": "carloslucas/pmr3508-2022-2-47", "kernel_id": "33476018"}, {"ref": "juaolobo/pmr3508-2022-2-35", "kernel_id": "33376959"}, {"ref": "willianwang/pmr3508-2022-2-57", "kernel_id": "33444410"}, {"ref": "lucascremaschi/pmr3508-2022-2-69", "kernel_id": "33440220"}, {"ref": "deutscda/pmr3508-2022-2-21", "kernel_id": "33335907"}, {"ref": "mateusmarques01/pmr3508-2022-2-37", "kernel_id": "33445763"}, {"ref": "pedrobnogueira/pmr3508-2022-2-36", "kernel_id": "33471532"}, {"ref": "pablonabil/pmr3508-2022-2-16", "kernel_id": "33415006"}, {"ref": "pedrosemcovici/pmr3508-2022-2-87", "kernel_id": "33471615"}, {"ref": "yagoprimerano/pmr3508-2022-2-84", "kernel_id": "33433166"}, {"ref": "pedrorodr/pmr3508-2022-2-64", "kernel_id": "33476410"}, {"ref": "atmatos/pmr3508-2022-2-80", "kernel_id": "33474619"}, {"ref": "victorpepe/pmr3508-2022-2-88", "kernel_id": "33363072"}, {"ref": "costaleirbag/pmr3508-2022-2-55", "kernel_id": "33471085"}, {"ref": "rodrigomotta/pmr3508-2022-2-38", "kernel_id": "33426380"}, {"ref": "evandroueharaviaro/adult-pmr3508-2022-2-hashcode2", "kernel_id": "33460047"}, {"ref": "samsantosra/pmr3508-2022-2-77", "kernel_id": "33436986"}, {"ref": "paulamarindeoliveira/pmr3508-2022-2-44", "kernel_id": "33329585"}, {"ref": "pmr3508202271/pmr3508-2022-2-71", "kernel_id": "33473141"}, {"ref": "guscarvas/pmr3508-2022-2-20", "kernel_id": "33479442"}, {"ref": "vinicosta/pmr3508-2022-2-4", "kernel_id": "33465581"}, {"ref": "giovannibarboza/pmr3508-2022-2-49-adult-knn", "kernel_id": "33436525"}, {"ref": "pmr3508202250/pmr3508-2022-2-50", "kernel_id": "33330587"}, {"ref": "pmr3508202248/pmr3508-2022-2-48", "kernel_id": "33183858"}, {"ref": "leonardotvalente/pmr3508-2022-2-86", "kernel_id": "33470631"}, {"ref": "joaohenriusp/pmr3508-2022-2-61", "kernel_id": "33474849"}, {"ref": "pmr3508202241/pmr3508-2022-2-41", "kernel_id": "33467811"}, {"ref": "pmr3508202215/pmr3508-2022-2-15", "kernel_id": "33470599"}, {"ref": "pmr3508202227/pmr3508-2022-2-27", "kernel_id": "33459948"}, {"ref": "pmr3508202225/pmr3508-2022-4-25", "kernel_id": "33469543"}, {"ref": "pmr3508202225/pmr3508-2022-2-25", "kernel_id": "33471591"}, {"ref": "pmr3508202212/pmr3508-2022-2-12", "kernel_id": "33441761"}, {"ref": "andrewcarvalhodesa/pmr3508-2022-02-90", "kernel_id": "33437210"}, {"ref": "pmr3508202233/pmr3508-2022-2-33", "kernel_id": "33439358"}, {"ref": "pmr3508202282/pmr3508-2022-2-82", "kernel_id": "33473034"}, {"ref": "pmr3508202239/pmr3508-2022-2-39", "kernel_id": "33374761"}, {"ref": "pmr3508202217/pmr3508-2022-2-17", "kernel_id": "33473057"}, {"ref": "pmr3508202259/pmr3508-2022-2-59", "kernel_id": "33472696"}, {"ref": "lucasnascimentotulha/pmr3508-2022-02-30", "kernel_id": "33438557"}, {"ref": "guilhermeyamashita/pmr3508-2022-2-67", "kernel_id": "33471541"}, {"ref": "pmr3508202228/pmr3508-2022-2-28", "kernel_id": "33475281"}, {"ref": "giovanitavares/pmr3508-2022-2-32", "kernel_id": "33388239"}, {"ref": "mrgribel/pmr3508-2022-2-66", "kernel_id": "33474010"}, {"ref": "pmr3508202242/pmr3508-2022-2-42", "kernel_id": "33446048"}, {"ref": "pmr3508202218/pmr3508-2022-2-18", "kernel_id": "33472464"}, {"ref": "vitortonetti/pmr3508-2022-2-51", "kernel_id": "33474099"}, {"ref": "steliorobusti/pmr-2022-2-63", "kernel_id": "33472462"}, {"ref": "pmr3508202223/pmr3508-2022-2-23", "kernel_id": "33475972"}, {"ref": "pmr35082022100/pmr3508-2022-2-58", "kernel_id": "33472900"}, {"ref": "baaafaaa/pmr3508-2022-2-9", "kernel_id": "33554380"}, {"ref": "aluno75pmr3508/pmr3508-2022-2-75", "kernel_id": "33383688"}, {"ref": "otaviohenriquesouza/pmr3508-2022-2-81", "kernel_id": "33471042"}, {"ref": "gabrielshimadabelem/pmr3508-2023-18-adultknn", "kernel_id": "43955273"}, {"ref": "vitorsasakivenzel/pmr3508-2023-65", "kernel_id": "43953535"}, {"ref": "felipetest/pmr3508-2023-22-adultknn", "kernel_id": "43580942"}, {"ref": "pmr3508202311258141/pmr3508-2023-30-adult-knn", "kernel_id": "43601713"}, {"ref": "lhnds97/pmr3508-2023-43-adult-knn", "kernel_id": "44151552"}, {"ref": "ricardonicidakazama/pmr3508-2023-20-adult-knn", "kernel_id": "44003683"}, {"ref": "felipebenatti/pmr3508-2023-19-adult-knn", "kernel_id": "44975698"}, {"ref": "victorathanasio/pmr3508-2023-13-adult-knn", "kernel_id": "44471682"}, {"ref": "brunofernandesmaione/pmr3508-2023-17-adult-knn", "kernel_id": "44546001"}, {"ref": "rodrigosalesmarcolin/pmr3508-2023-46-adult-knn", "kernel_id": "44145334"}, {"ref": "davifelix/pmr3508-2023-59-adult-knn", "kernel_id": "44584960"}, {"ref": "npedrohh/pmr3508-2023-93-adult-knn", "kernel_id": "44041419"}, {"ref": "caichein/pmr3508-2023-79-adult-knn", "kernel_id": "44151536"}, {"ref": "pmr3508202211111111/pmr-2023-71", "kernel_id": "44977966"}, {"ref": "pmr350820232003/notebook-pmr-3508-2023-78", "kernel_id": "44982613"}, {"ref": "k0l1veira/pmr3508-2023-52-adult-knn", "kernel_id": "44531474"}, {"ref": "dubis44/pmr3508-2023-95", "kernel_id": "44541347"}, {"ref": "pedrodhack/pmr3508-2022-53-adult-knn", "kernel_id": "44982114"}, {"ref": "pmr3508202277/pmr3508-2023-77-adultknn", "kernel_id": "44143940"}, {"ref": "pmr3508202292/pmr-3508-2022-92", "kernel_id": "44581586"}, {"ref": "manusouza/pmr3508-2023-81-adultknn", "kernel_id": "44535065"}, {"ref": "enzoantonio/pmr3508-2023-84-adult-knn", "kernel_id": "44533219"}, {"ref": "caiocastrousp/notebook9d931ec520", "kernel_id": "44989063"}, {"ref": "caiocastrousp/pmr3508-2023-89-adult-knn", "kernel_id": "44989171"}, {"ref": "pmr3508202338/pmr3508-2023-38", "kernel_id": "44184037"}, {"ref": "pmr3508202315/pmr3508-2023-15-adult-knn", "kernel_id": "44148346"}, {"ref": "pmr3508202331/pmr3508-2023-31-adultknn", "kernel_id": "44246264"}, {"ref": "arthurferreirabanhos/pmr3508-2023-25-knn-adult-dataset", "kernel_id": "44976654"}, {"ref": "vflower/pmr3508-2023-87-adult-knn", "kernel_id": "44406107"}, {"ref": "pmr3508202322/pmr3508-2023-22-adultknn", "kernel_id": "44188922"}, {"ref": "vibsilva/pmr3508-2023-63-adult-knn", "kernel_id": "44532249"}, {"ref": "pmr3508202367/pmr3508-2023-67-adult-knn", "kernel_id": "44594604"}, {"ref": "pmr3508202385/pmr3508-2023-85-adultknn", "kernel_id": "44629107"}, {"ref": "pmr3508202339/pmr3508-2023-39-adultknn", "kernel_id": "44567555"}, {"ref": "pmr3508202364/pmr3508-2023-64", "kernel_id": "44775903"}, {"ref": "pmr3508202376/pmr3508-2023-76-adultknn", "kernel_id": "44941508"}, {"ref": "pmr3508202342/pmr3508-2023-42-adult-knn", "kernel_id": "44966088"}, {"ref": "pmr3508202316/pmr3508-2023-16-adult-knn", "kernel_id": "44933148"}, {"ref": "luasantos/pmr3508-2023-37", "kernel_id": "44981408"}, {"ref": "pmr3508202355/pmr3508-2023-55-adultknn", "kernel_id": "44972520"}, {"ref": "fernandocrz/pmr3508-2023-57-old", "kernel_id": "45034343"}, {"ref": "pedromiguelez/pmr3508-2023-96", "kernel_id": "45073946"}, {"ref": "luiznakazone/pmr3508-2023-56", "kernel_id": "45041006"}, {"ref": "gdvcamargo/pmr3508-2023-60-adultknn", "kernel_id": "45038158"}, {"ref": "gabrieleyumishimizu/pmr3508-2023-73-adult-knn", "kernel_id": "45038701"}, {"ref": "thiagokeishimasaki/pmr3508-2023-70-adultknn", "kernel_id": "45037781"}, {"ref": "brhti10/pmr3508-2023-80-adult-knn", "kernel_id": "45040946"}, {"ref": "pmr3508202351/notebook696324b4aa", "kernel_id": "45036904"}, {"ref": "pbpaes/pmr3508-2023-45-adult-knn", "kernel_id": "45035732"}, {"ref": "pmr3508202314/pmr3508-2023-14-adult-knn", "kernel_id": "45033297"}, {"ref": "melissaefreitas/pmr3508-2023-26-adult-knn", "kernel_id": "45050245"}, {"ref": "pmr3508202332/pmr3508-2023-32-analise-dos-dados-adult", "kernel_id": "45023803"}, {"ref": "pmr3508202358/pmr3508-2023-58-adult-knn", "kernel_id": "45028231"}, {"ref": "pmr3508202348/pmr3508-2023-48-adult-knn", "kernel_id": "45025047"}, {"ref": "pmr3508202391/pmr3508-2023-91-adult-knn", "kernel_id": "45014845"}, {"ref": "pmr3508202382/pmr3508-2023-82-adult-knn", "kernel_id": "45004309"}, {"ref": "pmr350820231/pmr3805-2023-1-adult-knn", "kernel_id": "45034647"}, {"ref": "pmr3508202341/pmr3508-2023-41", "kernel_id": "45082872"}, {"ref": "pmr3508202349/pmr3508-2023-49-adult-knn", "kernel_id": "45037548"}, {"ref": "rodrigosinato/pmr3508-2023-62-adult-knn", "kernel_id": "45053532"}, {"ref": "pmr3508202213683636/pmr3508-2023-75-adultknn", "kernel_id": "45042032"}, {"ref": "vitorsasakivenzel/pmr3508-2023-2-65", "kernel_id": "46956650"}, {"ref": "caichein/pmr3508-2023-2-79", "kernel_id": "46877477"}, {"ref": "enzoantonio/pmr3508-2023-2-84", "kernel_id": "46217553"}, {"ref": "pmr3508202331/pmr3508-2023-2-31", "kernel_id": "46464428"}, {"ref": "pmr3508202322/pmr3508-2023-2-22", "kernel_id": "46306965"}, {"ref": "lhnds97/pmr3508-2023-2-43", "kernel_id": "47940906"}, {"ref": "ricardonicidakazama/pmr3508-2023-2-20", "kernel_id": "47849134"}, {"ref": "felipebenatti/pmr3508-2023-2-19", "kernel_id": "47547329"}, {"ref": "victorathanasio/pmr3508-2023-2-13", "kernel_id": "47525967"}, {"ref": "brunofernandesmaione/pmr3508-2023-2-17", "kernel_id": "47758335"}, {"ref": "fernandocrz/pmr3508-2023-57", "kernel_id": "47979423"}, {"ref": "pedromiguelez/pmr3508-2023-2-96", "kernel_id": "47986845"}, {"ref": "luiznakazone/pmr3508-2023-2-56", "kernel_id": "47966410"}, {"ref": "davifelix/pmr3508-2023-2-59", "kernel_id": "47981651"}, {"ref": "yaechoi/pmr3508-2023-2-4", "kernel_id": "47985690"}, {"ref": "gabrielshimadabelem/pmr3508-2023-2-18", "kernel_id": "47804173"}, {"ref": "npedrohh/pmr3508-2023-2-93", "kernel_id": "47799339"}, {"ref": "gdvcamargo/pmr3508-2023-2-60", "kernel_id": "47992593"}, {"ref": "gabrieleyumishimizu/pmr3508-2023-73-2", "kernel_id": "47932919"}, {"ref": "pmr3508202211111111/pmr-2023-71-2", "kernel_id": "47887900"}, {"ref": "pmr3508202311258141/pmr3508-2023-2-30", "kernel_id": "47096434"}, {"ref": "thiagokeishimasaki/pmr3508-2023-2-70", "kernel_id": "47956925"}, {"ref": "leticiasatieito/pmr3508-2023-2-61", "kernel_id": "47568439"}, {"ref": "yurilimarocha/pmr3508-2023-2-74", "kernel_id": "47353215"}, {"ref": "pmr350820232003/pmr3508-2023-78", "kernel_id": "47988743"}, {"ref": "k0l1veira/pmr3508-2023-52", "kernel_id": "47969347"}, {"ref": "dubis44/pmr3508-2023-2-95", "kernel_id": "47210720"}, {"ref": "pedrodhack/pmr3508-2023-2-53", "kernel_id": "47989076"}, {"ref": "pmr3508202350/pmr3508-2023-2-50", "kernel_id": "47991443"}, {"ref": "pmr3508202277/pmr3508-2023-2-77", "kernel_id": "47990353"}, {"ref": "manusouza/pmr3508-2023-2-81", "kernel_id": "47747350"}, {"ref": "caiocastrousp/pmr3508-2023-2-89", "kernel_id": "47988420"}, {"ref": "pmr3508202315/pmr3508-2023-2-15", "kernel_id": "47609850"}, {"ref": "pmr3508202312/pmr3508-2023-2-12", "kernel_id": "47979195"}, {"ref": "arthurferreirabanhos/pmr3508-2023-2-25", "kernel_id": "47556067"}, {"ref": "vflower/pmr3508-2023-2-87", "kernel_id": "47981294"}, {"ref": "pmr3508202347/pmr3508-2023-2-47", "kernel_id": "47601438"}, {"ref": "vibsilva/pmr3508-2023-2-63", "kernel_id": "47203359"}, {"ref": "pmr3508202367/notebookd12a5e3744", "kernel_id": "47230960"}, {"ref": "pmr3508202336/pmr3508-2023-36-2", "kernel_id": "47884866"}, {"ref": "pmr3508202385/pmr3508-2023-2-85", "kernel_id": "47216078"}, {"ref": "pmr3508202339/pmr3508-2023-2-39", "kernel_id": "47311895"}, {"ref": "pmr3508202314/pmr3508-2023-2-14", "kernel_id": "47988087"}, {"ref": "pmr3508202364/pmr3508-2023-2-64", "kernel_id": "47993381"}, {"ref": "pmr3508202376/pmr3508-2023-2-76", "kernel_id": "47985931"}, {"ref": "melissaefreitas/pmr3508-2023-2-26-classifiers", "kernel_id": "47988988"}, {"ref": "pmr3508202332/pmr3508-2023-2-32", "kernel_id": "47982878"}, {"ref": "patrickbaptista/pmr3508-2023-2-27", "kernel_id": "47985291"}, {"ref": "pmr3508202342/pmr3508-2023-2-42", "kernel_id": "47993841"}, {"ref": "pmr3508202316/pmr3508-2023-2-16", "kernel_id": "47993526"}, {"ref": "luasantos/pmr3508-2023-2-37", "kernel_id": "47971866"}, {"ref": "pmr3508202358/pmr3508-2023-2-58", "kernel_id": "47989949"}, {"ref": "pmr3508202348/pmr3508-2023-2-48", "kernel_id": "47942133"}, {"ref": "pmr3508202355/pmr3508-2023-2-55", "kernel_id": "47895464"}, {"ref": "pmr3508202391/pmr3508-2023-2-91", "kernel_id": "47947757"}, {"ref": "pmr3508202382/pmr3508-2023-2-82", "kernel_id": "47991228"}, {"ref": "pmr350820231/pmr3508-2023-1", "kernel_id": "47095558"}, {"ref": "pmr3508202341/pmr3508-2023-2-41", "kernel_id": "47944446"}, {"ref": "pmr3508202349/pmr3508-2023-2-49", "kernel_id": "47987302"}, {"ref": "pmr3508202213683636/pmr3508-2023-2-75", "kernel_id": "47989658"}, {"ref": "vidalgonzalo97/pmr3508-2023-2-21", "kernel_id": "47990132"}, {"ref": "jorgegiglio/pmr3508-2023-2-29", "kernel_id": "47986841"}, {"ref": "pmr2380/pmr3508-2023-2-80", "kernel_id": "47988224"}, {"ref": "pmr3508202338/pmr3508-2023-2-38-v2", "kernel_id": "48082405"}, {"ref": "rodrigosinato/pmr3508-2023-2-62", "kernel_id": "48010071"}, {"ref": "lmugnaini/pcs5024-2024-10260351", "kernel_id": "54299066"}, {"ref": "jceoval/adult-eda", "kernel_id": "56842658"}, {"ref": "jceoval/eda-e-modelo", "kernel_id": "57132331"}, {"ref": "daquisu/notebook3660ee6f04", "kernel_id": "65773414"}, {"ref": "patricksampaio/pmr3508-2024-128-adult-knn", "kernel_id": "65829533"}, {"ref": "henriquegropelli/pmr3508-2024-123", "kernel_id": "65855060"}, {"ref": "bernardo1022/pmr3508-2024-2-51", "kernel_id": "65924950"}, {"ref": "gjperin/pmr3508-2024-87-adult-knn", "kernel_id": "65584812"}, {"ref": "od4irg/pmr3508-2024-83", "kernel_id": "65867842"}, {"ref": "pedropereiramoraes/pmr3508-2024-8-knn", "kernel_id": "65558327"}, {"ref": "pmr3508202412561642/pmr3508-2024-90-adult-knn", "kernel_id": "65024482"}, {"ref": "juliaachaves/pmr3508-2024-63-adult-knn", "kernel_id": "65082040"}, {"ref": "pmr3508202476/pmr3508-2024-76-adult-knn", "kernel_id": "65229242"}, {"ref": "pmr3508202473/pmr3508-2024-73-adultknn", "kernel_id": "65247153"}, {"ref": "pmr3508202472/pmr3508-2024-72-adult-knn", "kernel_id": "65828206"}, {"ref": "pmr3508202488/pmr3508-2024-88-adultknn", "kernel_id": "65973133"}, {"ref": "pmr3508202466/pmr3058-2024-66-adult-knn", "kernel_id": "65871085"}, {"ref": "pmr35082024119/pmr3508-2024-119-adultknn", "kernel_id": "65825854"}, {"ref": "pmr35082022132/pmr3508-2024-132-adultknn", "kernel_id": "65826426"}, {"ref": "pmr3508202458/pmr3508-2024-58-adult-knn", "kernel_id": "65831440"}, {"ref": "pmr3508202433/pmr3508-2024-33-ep01", "kernel_id": "65872547"}, {"ref": "pmr35082024130/pmr3508-2024-130-adultknn", "kernel_id": "65918748"}, {"ref": "vininardelli/pmr3508-2024-6-adultknn", "kernel_id": "66352528"}, {"ref": "olenscki/pmr3508-2024-2-129", "kernel_id": "66996276"}, {"ref": "caetanofilho/pmr3508-2024-57-adult-knn", "kernel_id": "66038349"}, {"ref": "joopedrofeitosa/pmr3508-2024-133-experimental", "kernel_id": "66357454"}, {"ref": "rdassiep/pmr3508-2024-25-adultknn", "kernel_id": "66117672"}, {"ref": "joovitordemelomorais/pmr3508-2024-69", "kernel_id": "66357758"}, {"ref": "heitorgamaribeiro/pmr3508-2024-43-adult-knn", "kernel_id": "66287565"}, {"ref": "mateusmazzoco/pmr3508-2024-107-adult-knn", "kernel_id": "66021020"}, {"ref": "caiopenayo/adult-dataset", "kernel_id": "66357650"}, {"ref": "luca7084/pmr3508-2024-135-adult-knn", "kernel_id": "66312220"}, {"ref": "ikrasnikovas/pmr3508-2024-41", "kernel_id": "66308648"}, {"ref": "mikhailfutorny/pmr3508-2024-9-adultknn", "kernel_id": "66685041"}, {"ref": "mikhailfutorny/ep1-pmr3508-2024-9-adultknn", "kernel_id": "66291649"}, {"ref": "ayanatanaka/pmr3508-2024-52-adult-knn", "kernel_id": "66286249"}, {"ref": "felipeanibal/pmr3508-2024-59-adult-knn", "kernel_id": "66236777"}, {"ref": "solanonascimento/pmr3508-2024-24-adult-knn", "kernel_id": "66300986"}, {"ref": "asaffeduarte/pmr3508-2024-53-adult-knn", "kernel_id": "66298877"}, {"ref": "llnycollasll/pmr3508-2024-18-adultknn", "kernel_id": "66143051"}, {"ref": "luantav/pmr3508-2024-97-adult-knn", "kernel_id": "66213446"}, {"ref": "pedroham/pmr3508-2024-5-adult-knn", "kernel_id": "66295218"}, {"ref": "cascalhofalho/pmr3508-2024-26-adult-knn", "kernel_id": "66297625"}, {"ref": "lucarvalho/pmr3508-2024-105-ep1", "kernel_id": "66240145"}, {"ref": "pmr3508202439/pmr3508-39-base-adult", "kernel_id": "66356544"}, {"ref": "pmr3508202470/pmr3508-2024-70-adultknn", "kernel_id": "66227481"}, {"ref": "daikiteruyainoue/pmr3508-2024-49", "kernel_id": "66286642"}, {"ref": "pmr3508202427/pmr3508-2024-27-adultknn", "kernel_id": "66315554"}, {"ref": "hvsguerra/pmr3508-2024-64", "kernel_id": "66355811"}, {"ref": "pmr35082024116/pmr3508-2024-116-adult-knn", "kernel_id": "66354553"}, {"ref": "marcoajgf/pmr3508-2024-121-adult-knn", "kernel_id": "66289043"}, {"ref": "carloskahashizume/pmr3508-2024-117-adult-knn", "kernel_id": "66342733"}, {"ref": "gustavochinen/pmr3508-2024-91-adultknn", "kernel_id": "66047438"}, {"ref": "pmr3508202432/pmr3508-2024-32-adult-knn", "kernel_id": "66216620"}, {"ref": "pmr35082024112/pmr3508-2024-112", "kernel_id": "66296658"}, {"ref": "pmr3508202467/pmr3508-2024-67-adult-knn", "kernel_id": "66287747"}, {"ref": "andlbbueno/pmr3508-2024-120-adult-knn", "kernel_id": "66285438"}, {"ref": "pmr3508202438/pmr3508-2024-38-adult-knn", "kernel_id": "66135678"}, {"ref": "victorefcaballero/pmr3508-2024-84", "kernel_id": "66344530"}, {"ref": "pmr3508202498/pmr3508-2024-98-adult-knn", "kernel_id": "66135044"}, {"ref": "marcosgabriel7/pmr3508-2024-137-knn-classifier", "kernel_id": "66354208"}, {"ref": "pmr3508202274/pmr3508-2024-74", "kernel_id": "66296645"}, {"ref": "pmr3508202428/pmr3508-2024-28", "kernel_id": "66285651"}, {"ref": "pmr35082024100/pmr3508-2024-100-adultknn", "kernel_id": "66218517"}, {"ref": "pmr3508202462/pmr3508-2024-62-adult-knn", "kernel_id": "66353828"}, {"ref": "pmr3508202450/pmr3508-2024-50", "kernel_id": "66322296"}, {"ref": "pmr3508202441/pmr3508-2024-41", "kernel_id": "66309059"}, {"ref": "pmr3508202485/pmr3508-2024-85-adult-knn", "kernel_id": "66352495"}, {"ref": "pmr3508202494/pmr-3508-2024-94-knn", "kernel_id": "66294338"}, {"ref": "pedrortfilho/pmr3508-2024-95-adult-knn", "kernel_id": "66343069"}, {"ref": "matheusspinardi/pmr3508-2024-115-adultknn", "kernel_id": "66353680"}, {"ref": "guilhermednabreu/pmr3508-2024-15", "kernel_id": "66337241"}, {"ref": "pmr3508202482/pmr3508-2024-82", "kernel_id": "66353098"}, {"ref": "diegopadilhatrach/pmr3508-2024-113-adultknn", "kernel_id": "66357238"}, {"ref": "jooperycittadella/pmr3508-2024-101-adultknnn", "kernel_id": "66284427"}, {"ref": "guilhermelpa/pmr3508-2024-44-adult-knn", "kernel_id": "66284246"}, {"ref": "pmr35082024125/pmr3508-2024-125-adult-knn", "kernel_id": "66269107"}, {"ref": "pmr3508202431/pmr3508-2024-31", "kernel_id": "66271100"}, {"ref": "vinilira/pmr3508-2024-79", "kernel_id": "66299643"}, {"ref": "arraisk/pmr3508-2024-96-adult-knn", "kernel_id": "66323036"}, {"ref": "andrerosen/pmr3508-2024-54", "kernel_id": "66355835"}, {"ref": "pmr350856/pmr0358-2024-56-adult-knn", "kernel_id": "66352800"}, {"ref": "pmr3508202481/pmr3508-2024-81", "kernel_id": "66287002"}, {"ref": "pmr3508202445/pmr3508-2024-45-adultknn", "kernel_id": "66296549"}, {"ref": "pmr3508202477/pmr3508-2024-77", "kernel_id": "66351944"}, {"ref": "pmr3508202455/pmr3508-2024-55-ep1", "kernel_id": "66292350"}, {"ref": "pmr35082024118/pmr3508-2024-118-adult-knn", "kernel_id": "66298585"}, {"ref": "runtabrkot/pmr3508-2024-10-adultknn", "kernel_id": "66356855"}, {"ref": "pmr35082022127/pmr3508-2024-127-adult-knn", "kernel_id": "66353403"}, {"ref": "vitorvacbitualves/pmr3508-2024-102-adult-knn", "kernel_id": "66352468"}, {"ref": "pmr3508202420/pmr3508-2024-20", "kernel_id": "66355701"}, {"ref": "enzofspinella/pmr3508-2024-48-adult-knn", "kernel_id": "66339150"}, {"ref": "pmr3508202234/pmr3508-2024-34", "kernel_id": "66356345"}, {"ref": "pmr35082024108/pmr3508-2024-108-adult-knn", "kernel_id": "66362339"}, {"ref": "victorzacariasusp/pmr3508-2024-22-adultknn", "kernel_id": "66348733"}, {"ref": "pmr35082024134/pmr3508-2024-134-adult-knn", "kernel_id": "66351591"}, {"ref": "pmr35082024110/pmr3508-2024-110", "kernel_id": "66357274"}, {"ref": "pmr3508202423/pmr3508-2024-23-adult-knn", "kernel_id": "66353856"}, {"ref": "tiagogiriofelice/pmr3508-2024-68", "kernel_id": "66357040"}, {"ref": "pmr3508202429/pmr3508-2024-29", "kernel_id": "66357787"}, {"ref": "leonardoguemont/pmr3058-2024-136-adult-knn", "kernel_id": "66792628"}, {"ref": "pmr35082022109/pmr-3508-2024-109-knn", "kernel_id": "68876477"}, {"ref": "skaduwee/pmr-3508-2024-106-knn", "kernel_id": "69158363"}, {"ref": "caiopenayo/pmr3508-2024-104", "kernel_id": "69546393"}, {"ref": "pmr350812/pmr3508-2024-12", "kernel_id": "69265186"}, {"ref": "luizfelipehinuy/pmr3508-2024-36-adult-knn", "kernel_id": "69366055"}, {"ref": "pmr3508202439/pmr3508-2024-2-39", "kernel_id": "70996944"}, {"ref": "pmr3508202488/pmr3508-2024-2-88", "kernel_id": "70899871"}, {"ref": "pmr3508202432/pmr3508-2024-2-32-reposta", "kernel_id": "70900205"}, {"ref": "mateusmazzoco/pmr3508-2024-2-107", "kernel_id": "71617356"}, {"ref": "luantav/pmr3508-2024-2-97", "kernel_id": "71399799"}, {"ref": "lucarvalho/pmr3508-2024-2-105", "kernel_id": "71195124"}, {"ref": "pmr3508202432/pmr3508-2024-2-32", "kernel_id": "71133800"}, {"ref": "ghmartinsoliveira/pmr3508-2024-2-1", "kernel_id": "72735470"}, {"ref": "vininardelli/pmr3508-2024-2-6", "kernel_id": "72685612"}, {"ref": "patricksampaio/pmr3508-2024-2-128", "kernel_id": "72460356"}, {"ref": "caetanofilho/pmr3508-2024-2-57", "kernel_id": "72654589"}, {"ref": "henriquegropelli/pmr3508-2024-2-123", "kernel_id": "72565918"}, {"ref": "joopedrofeitosa/pmr3508-2024-2-133", "kernel_id": "72411472"}, {"ref": "rdassiep/pmr3508-2024-2-25", "kernel_id": "72185687"}, {"ref": "gjperin/pmr3508-2024-2-87", "kernel_id": "72508227"}, {"ref": "od4irg/pmr3508-2024-2-83", "kernel_id": "72341200"}, {"ref": "joovitordemelomorais/pmr3508-2024-2-69", "kernel_id": "72724919"}, {"ref": "heitorgamaribeiro/pmr3508-2024-2-43", "kernel_id": "72715208"}, {"ref": "luca7084/pmr3508-2024-2-135", "kernel_id": "72696914"}, {"ref": "pedropereiramoraes/pmr3508-2024-2-8", "kernel_id": "72409338"}, {"ref": "ikrasnikovas/pmr3508-2024-2-41", "kernel_id": "72711229"}, {"ref": "mikhailfutorny/pmr3508-2024-2-9", "kernel_id": "72524363"}, {"ref": "ayanatanaka/pmr3508-2024-2-52", "kernel_id": "72731735"}, {"ref": "felipeanibal/pmr3508-02-59", "kernel_id": "72736138"}, {"ref": "felipeanibal/pmr3508-02-59-rascunho", "kernel_id": "72733740"}, {"ref": "solanonascimento/pmr3508-2024-2-24", "kernel_id": "72713204"}, {"ref": "asaffeduarte/pmr3508-2024-2-53", "kernel_id": "72539257"}, {"ref": "llnycollasll/pmr3508-2024-2-18", "kernel_id": "72614150"}, {"ref": "pmr3508202412561642/pmr3508-2024-2-90", "kernel_id": "72531316"}, {"ref": "juliaachaves/pmr3508-2024-2-63-ipynb", "kernel_id": "72340831"}, {"ref": "pmr3508202476/pmr3508-2024-2-76", "kernel_id": "72597468"}, {"ref": "pedroham/pmr3508-2024-2-5", "kernel_id": "72463796"}, {"ref": "pmr3508202473/pmr3508-2024-2-73", "kernel_id": "72532131"}, {"ref": "cascalhofalho/pmr3508-2024-2-26", "kernel_id": "72460609"}, {"ref": "pmr350812/pmr3508-2024-2-12", "kernel_id": "72610761"}, {"ref": "pmr3508202470/pmr3508-2024-2-70", "kernel_id": "72535064"}, {"ref": "daikiteruyainoue/pmr3508-2024-2-49", "kernel_id": "72131658"}, {"ref": "pmr3508202472/pmr3508-2024-2-72", "kernel_id": "72281336"}, {"ref": "pmr3508202427/pmr3508-2024-2-27", "kernel_id": "72729571"}, {"ref": "hvsguerra/pmr3508-2024-2-64", "kernel_id": "72401795"}, {"ref": "pmr3508202466/pmr3058-2024-2-66", "kernel_id": "72458214"}, {"ref": "pmr35082024116/pmr3508-2024-2-116", "kernel_id": "72726721"}, {"ref": "marcoajgf/pmr3508-2024-2-121", "kernel_id": "72725609"}, {"ref": "carloskahashizume/pmr3508-2024-2-117", "kernel_id": "72577500"}, {"ref": "gustavochinen/pmr3508-2024-2-91", "kernel_id": "72346351"}, {"ref": "pmr35082024112/pmr3508-2024-2-112", "kernel_id": "72469890"}, {"ref": "pmr3508202467/pmr3508-2024-2-67", "kernel_id": "72735016"}, {"ref": "pmr35082024119/pmr3508-2024-2-119", "kernel_id": "72658195"}, {"ref": "andlbbueno/pmr3508-2024-2-120", "kernel_id": "72545091"}, {"ref": "pmr3508202438/pmr3508-2024-2-38", "kernel_id": "72147753"}, {"ref": "pmr3508202437/pmr3508-2024-2-37", "kernel_id": "72728838"}, {"ref": "pmr3508202433/pmr3508-2024-2-33", "kernel_id": "72737138"}, {"ref": "victorefcaballero/pmr3508-2024-2-84", "kernel_id": "72208719"}, {"ref": "pmr3508202498/pmr3508-2024-2-98", "kernel_id": "72145565"}, {"ref": "marcosgabriel7/pmr3508-2024-2-137", "kernel_id": "72578770"}, {"ref": "pmr3508202274/many-classifiers", "kernel_id": "72470912"}, {"ref": "pmr3508202428/pmr3508-2024-2-28", "kernel_id": "72726116"}, {"ref": "pmr3508202462/pmr3508-2024-2-62", "kernel_id": "72339961"}, {"ref": "pedrobacelar/pmr3508-2024-2-126", "kernel_id": "72470340"}, {"ref": "pmr3508202450/pmr3508-2024-2-50", "kernel_id": "72725627"}, {"ref": "pmr3508202485/pmr3508-2024-2-85", "kernel_id": "72659099"}, {"ref": "pedrortfilho/adult-pmr-95-ep3", "kernel_id": "72412801"}, {"ref": "matheusspinardi/pmr3508-2024-2-115", "kernel_id": "72707722"}, {"ref": "guilhermednabreu/pmr3508-2024-2-15", "kernel_id": "72410664"}, {"ref": "pmr3508202482/pmr3508-2024-2-82", "kernel_id": "72738547"}, {"ref": "diegopadilhatrach/pmr3508-2024-2-113", "kernel_id": "72737353"}, {"ref": "pmr202442/pmr3508-2024-2-42", "kernel_id": "72643071"}, {"ref": "guilhermelpa/pmr3508-2024-2-44", "kernel_id": "72663807"}, {"ref": "pmr35082024125/pmr3508-2024-2-125", "kernel_id": "72620360"}, {"ref": "vinilira/pmr3508-2024-2-79", "kernel_id": "72718681"}, {"ref": "ulissespaixocordeiro/pmr3508-2024-2-23", "kernel_id": "72732761"}, {"ref": "andrerosen/pmr3508-2024-2-54", "kernel_id": "72735231"}, {"ref": "pmr35082024106/pmr3508-2024-2-106", "kernel_id": "72743011"}, {"ref": "pmr350856/pmr3508-2024-2-56", "kernel_id": "72720303"}, {"ref": "pmr3508202481/pmr3508-2024-2-81", "kernel_id": "72672054"}, {"ref": "pmr3508202445/pmr3508-2024-2-45", "kernel_id": "72721007"}, {"ref": "pmr3508202477/pmr3508-2024-2-77", "kernel_id": "72724993"}, {"ref": "pmr3508202455/pmr-3508-2024-2-55", "kernel_id": "72725885"}, {"ref": "pmr35082024118/pmr3508-2024-2-118", "kernel_id": "72706513"}, {"ref": "pmr35082024114/pmr3508-2024-2-114", "kernel_id": "72736120"}, {"ref": "runtabrkot/pmr3508-2024-2-10", "kernel_id": "72727713"}, {"ref": "pmr35082022127/pmr3508-2024-2-127", "kernel_id": "72730429"}, {"ref": "pmr3508202420/pmr3508-2024-2-20", "kernel_id": "72711869"}, {"ref": "enzofspinella/pmr3508-2024-2-48", "kernel_id": "72719673"}, {"ref": "pmr3508202234/pmr3508-2024-2-34", "kernel_id": "72672750"}, {"ref": "pmr3508202446/pmr3508-2024-2-46", "kernel_id": "72724424"}, {"ref": "pmr35082024108/pmr3508-2024-2-108", "kernel_id": "72738685"}, {"ref": "victorzacariasusp/pmr3508-2024-2-22", "kernel_id": "72736321"}, {"ref": "pmr35082022109/pmr3508-2024-2-109", "kernel_id": "72601478"}, {"ref": "pmr35082024134/pmr3508-2024-2-134", "kernel_id": "72696072"}, {"ref": "tiagogiriofelice/pmr3508-2024-2-68", "kernel_id": "72942503"}, {"ref": "pmr3508202429/pmr3508-2024-2-29", "kernel_id": "72732606"}, {"ref": "pmr3508202458mnist/pmr3508-2024-2-58", "kernel_id": "72061974"}, {"ref": "gabrielemidiosantos/pmr3508-2024-2-7", "kernel_id": "72737024"}, {"ref": "carloseduardocagna/exercicio", "kernel_id": "81199869"}, {"ref": "felipeazankdossantos/pmr3508-2025-2-8", "kernel_id": "93207267"}, {"ref": "pmr350843/pmr3508-2025-43-adult-knn", "kernel_id": "93417804"}, {"ref": "pmr350820252/pmr3508-2025-2-adultknn", "kernel_id": "93360923"}, {"ref": "robertotetsuohamaoka/pmr3508-2025-5-adult-knn", "kernel_id": "93416028"}, {"ref": "pmr3508202520/notebook7f690f60f0", "kernel_id": "93609480"}, {"ref": "vicenzocarlimdesousa/pmr3508-2025-25-adult-knn", "kernel_id": "94866423"}, {"ref": "rodrigoshenmoussalli/pmr3508-2025-41-adult-knn", "kernel_id": "94920383"}, {"ref": "eduardoparricuperman/pmr3508-2025-28-adult-knn", "kernel_id": "94756388"}, {"ref": "renzofilho/pmr3508-2025-40-adult-knn", "kernel_id": "94762554"}, {"ref": "jorgeassis28/pmr3508-2025-48-adult-knn", "kernel_id": "94840233"}, {"ref": "flaviomahfouz/pmr3508-2025-52-adult-knn", "kernel_id": "94851689"}, {"ref": "victorbelone/pmr3508-2025-21-adult-knn", "kernel_id": "94850193"}, {"ref": "pmr3508202549/pmr3508-2025-49", "kernel_id": "94263680"}, {"ref": "pmr3508202513/pmr3508-2025-13-adultknn", "kernel_id": "94830298"}, {"ref": "pmr3508202514/notebook377fc9b681", "kernel_id": "94070427"}, {"ref": "luizhmonteirojr/pmr3508-2025-10-adult-knn", "kernel_id": "94856912"}, {"ref": "pmr3508202546/nb-v1", "kernel_id": "94842829"}, {"ref": "pmr3508202546/adult", "kernel_id": "94750890"}, {"ref": "pmr3508202546/adult-v1", "kernel_id": "94626350"}, {"ref": "pmr3508202544/pmr3508-2025-44-adult-knn-2", "kernel_id": "94812012"}, {"ref": "pmr3508202527/pmr3508-2025-27-adult-knn", "kernel_id": "94524464"}, {"ref": "pmr3508202539/pmr3508-2025-39-adult-knn", "kernel_id": "94636378"}, {"ref": "pmr3508202523/pmr3508-2025-23-adult-knn", "kernel_id": "94390205"}, {"ref": "pmr3508202516/pmr3508-2025-16-adult-knn", "kernel_id": "94653489"}, {"ref": "felipecordeirocaram/pmr3508-2025-36-adultknn", "kernel_id": "94860538"}, {"ref": "mateusstano/pmr3508-2025-15-adult-knn", "kernel_id": "94772752"}, {"ref": "pmr3508202538/pmr3508-2025-38", "kernel_id": "94862871"}, {"ref": "lucasadloff/pmr3508-2025-6-adult-knn", "kernel_id": "94864023"}, {"ref": "pmr3508202530/pmr3508-2025-30-adult-knn", "kernel_id": "94836731"}, {"ref": "stephanynunessouza/pmr3508-2025-19-adult-knn", "kernel_id": "94848641"}, {"ref": "pmr350820259/pmr3508-2025-9", "kernel_id": "94862778"}, {"ref": "pmr3508202435/pmr3508-2025-35-adult-knn", "kernel_id": "94859442"}, {"ref": "pmr3508202518/pmr3508-2025-18-adult-knn", "kernel_id": "94865083"}, {"ref": "patzrodrich/pmr3508-2025-ep2-11", "kernel_id": "96110748"}, {"ref": "pmr3508202549/pmr3508-2025-2-49", "kernel_id": "99117575"}, {"ref": "pmr350843/pmr3508-2025-2-43", "kernel_id": "99717092"}, {"ref": "pmr350820252/pmr3508-2025-2-2", "kernel_id": "100784471"}, {"ref": "luizhmonteirojr/pmr3508-2025-2-10", "kernel_id": "100992711"}, {"ref": "felipeazankdossantos/pmr3508-2025-1-8-knnsubmission", "kernel_id": "102897857"}, {"ref": "jorgeassis28/pmr3508-2025-2-48-comparing-classifiers", "kernel_id": "102885262"}, {"ref": "pmr3508202520/pmr3508-2025-2-20", "kernel_id": "102267558"}, {"ref": "pmr350820259/pmr3508-2025-2-9", "kernel_id": "102920699"}, {"ref": "pmr3508202518/pmr3508-2025-2-18", "kernel_id": "102297621"}, {"ref": "rafifernandaaldin/adults-income-logistic-regression", "kernel_id": "103875479"}, {"ref": "vicenzocarlimdesousa/pmr3508-2025-2-25", "kernel_id": "103604474"}, {"ref": "kingmucus/pmr3508-2025-2-12", "kernel_id": "103311789"}, {"ref": "augustocastanheira/notebook71a7d33db4", "kernel_id": "103610752"}, {"ref": "eduardoparricuperman/pmr3508-2025-2-28", "kernel_id": "103471232"}, {"ref": "renzofilho/pmr3508-2025-2-40", "kernel_id": "103186913"}, {"ref": "flaviomahfouz/pmr3508-2025-2-52", "kernel_id": "103608011"}, {"ref": "victorbelone/pmr3508-2025-2-21", "kernel_id": "103438946"}, {"ref": "pmr3508202513/pmr3508-2025-2-13", "kernel_id": "103596577"}, {"ref": "robertotetsuohamaoka/pmr3508-2025-2-5", "kernel_id": "103510175"}, {"ref": "pmr3508202546/pmr3508-2025-2-46", "kernel_id": "103594882"}, {"ref": "pmr3508202544/pmr3508-2025-2-44", "kernel_id": "103498613"}, {"ref": "pmr3508202527/pmr3508-2025-2-27", "kernel_id": "103312478"}, {"ref": "pmr3508202539/pmr3508-2025-2-39", "kernel_id": "103313148"}, {"ref": "pmr3508202523/pmr3508-2025-2-23", "kernel_id": "103588280"}, {"ref": "pmr3508202516/pmr3508-2025-2-16", "kernel_id": "103611035"}, {"ref": "felipecordeirocaram/pmr3508-2025-2-36", "kernel_id": "103609224"}, {"ref": "mateusstano/pmr3508-2025-2-15", "kernel_id": "103415653"}, {"ref": "pmr3508202538/pmr3508-2025-2-38", "kernel_id": "103929858"}, {"ref": "lucasadloff/pmr3508-2025-2-6", "kernel_id": "103490694"}, {"ref": "stephanynunessouza/pmr3508-2025-2-19", "kernel_id": "103603356"}, {"ref": "pmr3508202435/pmr3508-2025-2-35", "kernel_id": "103712275"}, {"ref": "patzrodrich/pmr3508-2025-11-ep2", "kernel_id": "104316606"}, {"ref": "abhishekgupta56447/adult-pmr3508-score-0-87407", "kernel_id": "112336331"}, {"ref": "brunoealha/adult-pmr3508", "kernel_id": "116984752"}, {"ref": "dmirandax/notebook1944fe41b1", "kernel_id": "117157069"}, {"ref": "alexchilton/adult-pmr3508-catboost-target-encoding", "kernel_id": "132455078"}, {"ref": "felipedaikiemura/pmr3508-2026-25-adult-knn", "kernel_id": "136136807"}]}
{"competition_id": "15963", "kernels": []}
{"competition_id": "15965", "kernels": []}
{"competition_id": "15972", "kernels": []}
{"competition_id": "15975", "kernels": []}
{"competition_id": "15982", "kernels": []}
{"competition_id": "15984", "kernels": []}
{"competition_id": "16011", "kernels": []}
{"competition_id": "16017", "kernels": [{"ref": "danofer/pytorch-resnet34-starter-97-74-lb", "kernel_id": "5862695"}, {"ref": "parulpandey/kannada-mnist-with-h2o-deeplearning", "kernel_id": "5926403"}, {"ref": "tunguz/kannada-mnist-logistic-regression-baseline", "kernel_id": "5862691"}, {"ref": "tunguz/lightgbm-baseline", "kernel_id": "5906937"}, {"ref": "tunguz/pca-svm-baseline", "kernel_id": "5909658"}, {"ref": "tunguz/truncatedsvd-t-sne-and-decision-tree-baseline", "kernel_id": "5895430"}, {"ref": "tunguz/pca-nusvm-baseline", "kernel_id": "5962267"}, {"ref": "vaidyaprasad84/3-layer-cnn-simple-data-augmentation", "kernel_id": "5935315"}, {"ref": "vaidyaprasad84/simple-nn-no-cnn-very-basic-model", "kernel_id": "5878757"}, {"ref": "jinbao/kannada-mnist-baseline", "kernel_id": "5948110"}, {"ref": "gmonge/pytorch-resnet34-augmentation-starter", "kernel_id": "5860963"}, {"ref": "nubatama/trial-simple-model-with-gelu-and-relu-by-keras", "kernel_id": "5900309"}, {"ref": "pavanbagli/kannadamnist-with-lenet", "kernel_id": "5945724"}, {"ref": "gabmars/pytorch-lenet5", "kernel_id": "5993889"}, {"ref": "plarmuseau/mnist-test-script", "kernel_id": "5881755"}, {"ref": "plarmuseau/pca-svm-baseline", "kernel_id": "5944345"}, {"ref": "govoruha/r-keras-starter", "kernel_id": "5867678"}, {"ref": "govoruha/r-keras-cnn", "kernel_id": "5880727"}, {"ref": "shahules/indian-way-to-learn-cnn", "kernel_id": "5871835"}, {"ref": "heckinbamboozle/simple-capsule-net-ensemble", "kernel_id": "5935349"}, {"ref": "rhodiumbeng/kannada-mnist-convolutional-neural-network", "kernel_id": "5926694"}, {"ref": "robertopreste/kannada-mnist-with-keras-v1", "kernel_id": "5888213"}, {"ref": "wakamezake/kannada-mnist-efficientnet", "kernel_id": "5883926"}, {"ref": "revyung2017/kannada-mnist", "kernel_id": "5609840"}, {"ref": "kurianbenoy/solving-kannada-mnist-with-fastai", "kernel_id": "5908130"}, {"ref": "demonplus/kannada-mnist-with-fast-ai-and-resnet", "kernel_id": "5949515"}, {"ref": "grecs2001/kannada-mnist-keras-cnn", "kernel_id": "5875751"}, {"ref": "marcthalen/mnist-cnn-99-top-30-using-keras", "kernel_id": "5917068"}, {"ref": "mlneo07/kannada-mnist-linear-svm", "kernel_id": "5861011"}, {"ref": "leighplt/pytorch-arcmargin", "kernel_id": "5887794"}, {"ref": "arjunsinghrathod/trying-hands-on-cnn", "kernel_id": "5960755"}, {"ref": "hocop1/i-can-t-overfit", "kernel_id": "5903888"}, {"ref": "hocop1/manifold-mixup-using-pytorch", "kernel_id": "5872933"}, {"ref": "shaunthesheep/mnist-kannada", "kernel_id": "5984608"}, {"ref": "kaushal2896/kannada-mnist-using-cnn", "kernel_id": "5992890"}, {"ref": "josephvm/kannada-pytorch-visualizations", "kernel_id": "5862864"}, {"ref": "darkrubiks/kannada-mnist-keras-cnn-98", "kernel_id": "5958491"}, {"ref": "kshitijsutar/kernelbefbda66b7", "kernel_id": "5964223"}, {"ref": "iamsiddhant/kannada-mnist-data", "kernel_id": "5950698"}, {"ref": "aditya100/kannada-mnist-using-keras", "kernel_id": "5880628"}, {"ref": "gray98/kannada-pytorch", "kernel_id": "5953601"}, {"ref": "cantaoml/lightgbm", "kernel_id": "5915219"}, {"ref": "abhinand05/k-mnist-ensemble-of-4-models-lb-0-985-starterkit", "kernel_id": "5891570"}, {"ref": "trolukovich/simple-models-benchmark-keras", "kernel_id": "5947626"}, {"ref": "subinium/t-sne-viz-on-kannada-mnist", "kernel_id": "5939519"}, {"ref": "shaygu/kannada-mnist-simple-cnn", "kernel_id": "5869358"}, {"ref": "mtszkw/kannada-mnist-eda-visualization-and-resources", "kernel_id": "5942811"}, {"ref": "melissarajaram/simple-fastai-pytorch-example", "kernel_id": "5876561"}, {"ref": "melissarajaram/fastai-pytorch-with-best-original-mnist-arch", "kernel_id": "5888322"}, {"ref": "melissarajaram/fastai-pytorch-implementation-of-6-layer-convnet", "kernel_id": "5966744"}, {"ref": "billynguyen/k-nn-svm-cnn-with-keras-datageneration", "kernel_id": "5894327"}, {"ref": "pulkitmehtawork1985/simple-model-to-start", "kernel_id": "5862328"}, {"ref": "prtkmeh/kannada-mnist-with-keras-cnn", "kernel_id": "5948686"}, {"ref": "matheuseduardo/kannada-mnist-convnet", "kernel_id": "5890497"}, {"ref": "eeshsingh/mnist-with-keras-and-basic-cnn-lb-0-97", "kernel_id": "5871534"}, {"ref": "cdonohue/kannadamnist", "kernel_id": "5878847"}, {"ref": "chrisluo266/keras-for-kannada-mnist", "kernel_id": "5946673"}, {"ref": "rohan9889/kannada-mnist-cnn-keras", "kernel_id": "5872060"}, {"ref": "rohan9889/kannada-mnist-layers-visualization", "kernel_id": "5891325"}, {"ref": "anuragnegi/30-epochs", "kernel_id": "5954358"}, {"ref": "montimirko/kannada-mnist", "kernel_id": "5877512"}, {"ref": "anshumandec94/6-layer-conv-nn-using-adam", "kernel_id": "5897297"}, {"ref": "faizu07/kannada-mnist-with-fastai", "kernel_id": "5887722"}, {"ref": "vitorgamalemos/using-cnn-in-kannada-digits-resolution", "kernel_id": "5900308"}, {"ref": "abhishekhegde1998/kannada-mnist-v1-0", "kernel_id": "5927964"}, {"ref": "marcovasquez/basic-ml-logistic-dt-pca-xgboost", "kernel_id": "5866919"}, {"ref": "huangyifan/kernel3a15c9b2c1", "kernel_id": "5995136"}, {"ref": "zhizuijinmi/kannada-mnist-with-cnn", "kernel_id": "5911651"}, {"ref": "zhizuijinmi/kernel2", "kernel_id": "5883159"}, {"ref": "maximefr/mnist-cnn", "kernel_id": "6915241"}, {"ref": "priteshshrivastava/kannada-mnist-simple-cnn-using-fastai", "kernel_id": "6572073"}, {"ref": "scirpus/fork-of-basic-genetic-programming", "kernel_id": "6854207"}, {"ref": "scirpus/gp-clustering-with-knn-classifier", "kernel_id": "6804296"}, {"ref": "scirpus/basic-genetic-programming", "kernel_id": "6807392"}, {"ref": "scirpus/genetic-programming-with-whitening", "kernel_id": "6908419"}, {"ref": "nanditab35/kannada-mnist-pytorch", "kernel_id": "6480618"}, {"ref": "nulldata/kannada-mnist-h2o-automl-in-r", "kernel_id": "6042990"}, {"ref": "nulldata/umap-dim-reduction-viz-on-kannada-mnist", "kernel_id": "6061321"}, {"ref": "rhysie/cnn-ensemble-98-6", "kernel_id": "6242967"}, {"ref": "parulpandey/visualizing-kannada-mnist-with-t-sne", "kernel_id": "6051806"}, {"ref": "parulpandey/part1-visualizing-kannada-mnist-with-pca", "kernel_id": "6030470"}, {"ref": "parulpandey/part3-visualising-kannada-mnist-with-umap", "kernel_id": "6008722"}, {"ref": "tunguz/kannada-mnist-mlpclassifier-baseline", "kernel_id": "6728226"}, {"ref": "tunguz/kannada-mnist-histgradientboostingclassifier", "kernel_id": "6932864"}, {"ref": "tunguz/kannada-mnist-xgboost-baseline", "kernel_id": "6230953"}, {"ref": "radream/cnn-in-pytorch-fastai-for-kannada-digits", "kernel_id": "6886978"}, {"ref": "rugan01/fastai-resnet34and50", "kernel_id": "6801479"}, {"ref": "rugan01/fastai-resnet50", "kernel_id": "6952633"}, {"ref": "datahobbit/cnn-for-digit-recognition-in-the-kannada-script", "kernel_id": "6077287"}, {"ref": "datahobbit/grandmaster-solution-adapted-from-mnist", "kernel_id": "6566419"}, {"ref": "jjbuchanan/learning-rate-tuning-kannada-mnist", "kernel_id": "6692898"}, {"ref": "jjbuchanan/pretrained-on-full-data-kannada-mnist", "kernel_id": "6704339"}, {"ref": "jjbuchanan/full-dataset-training-kannada-mnist", "kernel_id": "6702854"}, {"ref": "zmey56/kannada-mnist-ver4-randomforestclassifier", "kernel_id": "6050619"}, {"ref": "pieterblomme/kannada-v0-3", "kernel_id": "6359617"}, {"ref": "pieterblomme/kannada-v0-1", "kernel_id": "6139528"}, {"ref": "ajayramesh/cnn-for-kannada-mnist", "kernel_id": "6534146"}, {"ref": "anastasiyaartsiom/kernel5279381f17", "kernel_id": "6657526"}, {"ref": "gtnikito/kannada-mnist-hw1", "kernel_id": "6656272"}, {"ref": "gtnikito/kannada-mnist-hw2-bestnet", "kernel_id": "6838284"}, {"ref": "r4rajaa/logistic-regression-with-different-solvers", "kernel_id": "6947155"}, {"ref": "eurismarpires/kannadamnist2", "kernel_id": "6262699"}, {"ref": "nachiket273/fastai-unfreeze", "kernel_id": "6242744"}, {"ref": "ananthreddy/kannada", "kernel_id": "6128202"}, {"ref": "nicapotato/pytorch-cnn-kanada", "kernel_id": "6204226"}, {"ref": "nicapotato/pytorch-resnet-kanada", "kernel_id": "6233369"}, {"ref": "nicapotato/dense-digit-classifier-kanada-simple-cpu-pytorch", "kernel_id": "6017867"}, {"ref": "gesamr/kannada-submissions", "kernel_id": "6094119"}, {"ref": "kocayinana/solution-with-resnet-50", "kernel_id": "6314629"}, {"ref": "plarmuseau/mnist-cossim", "kernel_id": "6259996"}, {"ref": "plarmuseau/simple-regression", "kernel_id": "6047922"}, {"ref": "partha1189/kannada-fastai-1", "kernel_id": "6881893"}, {"ref": "xiaohuangji/kaggledays-kannada-mnist", "kernel_id": "6298247"}, {"ref": "sanath123/easy-and-quick-keras-model-for-kannada-mnist", "kernel_id": "6023617"}, {"ref": "kdorichev/my-kannada-mnist", "kernel_id": "6457576"}, {"ref": "virajdattt/kannada-minst", "kernel_id": "6810829"}, {"ref": "slowlyfadinglight/ktzs-nn", "kernel_id": "6299130"}, {"ref": "zainmar/kannada-kaggle-days-china", "kernel_id": "6298456"}, {"ref": "econccb/kannada-cnn-w-keras", "kernel_id": "6715152"}, {"ref": "ajithvallabai/kaggle-kannada-mnist-made-simple", "kernel_id": "6353957"}, {"ref": "gsdeepakkumar/yet-another-mnist", "kernel_id": "6118588"}, {"ref": "chandraroy/vgg-16-mnist-classification", "kernel_id": "6693020"}, {"ref": "chandraroy/mnist-classification-cnn", "kernel_id": "6691721"}, {"ref": "ritzjain/kannada-digit-recognition", "kernel_id": "6761368"}, {"ref": "arishp/kernel70c8f3681a", "kernel_id": "6638716"}, {"ref": "yufengg/kannada-automl-csv-maker", "kernel_id": "6376232"}, {"ref": "martingorner/kannada-martin-keras-with-tf-data-augmentation", "kernel_id": "6521180"}, {"ref": "ragnar123/cnn-baseline-3-shuffle-folds", "kernel_id": "6078394"}, {"ref": "ragnar123/cnn-baseline-kfold", "kernel_id": "6076923"}, {"ref": "imdevskp/kannada-mnist-classifying-kannada-digits", "kernel_id": "6398630"}, {"ref": "rhtsingh/tensorflow-2-0-kannada-mnist", "kernel_id": "6373413"}, {"ref": "rincewind007/mnist-resnet-bigger-mish-in-shortcut-transforms", "kernel_id": "6194933"}, {"ref": "mrugeles/kannada-mnist", "kernel_id": "6295067"}, {"ref": "myasincifci/kernel4676acd02d", "kernel_id": "6105453"}, {"ref": "abhilashtensor/simple-cnn-rmsprop-learningratereduction", "kernel_id": "6704383"}, {"ref": "ngupta23/kannada-mnist-digit-recognition-using-fast-ai", "kernel_id": "6482081"}, {"ref": "joaoluizsouzatorres/kannada-mnist-v02", "kernel_id": "6195394"}, {"ref": "lgh7654/kannada-mnist-with-pytorch", "kernel_id": "6592227"}, {"ref": "lgh7654/kernel5700d56d55", "kernel_id": "6692761"}, {"ref": "toraveng/kernel632409fc29", "kernel_id": "6807338"}, {"ref": "iavinas/basics-of-cnn", "kernel_id": "6166997"}, {"ref": "parmarsuraj99/kannadamnist-with-lstms", "kernel_id": "6972579"}, {"ref": "kumarvivek9097/crnn-cnn-rnn", "kernel_id": "6435296"}, {"ref": "syamkakarla/kannada-mnist", "kernel_id": "6824110"}, {"ref": "larandaa/aryzhevich-nn-1", "kernel_id": "6650104"}, {"ref": "larandaa/aryzhevich-nn-2-lenet", "kernel_id": "6752724"}, {"ref": "rdenadai/kannada-mnist", "kernel_id": "6479905"}, {"ref": "welgum/kohonen-self-organizing-map-som-on-kannada-mnist", "kernel_id": "6469221"}, {"ref": "mak4alex/kannada-mnis-competition", "kernel_id": "6035880"}, {"ref": "khoongweihao/autokeras-kannada-mnist", "kernel_id": "6748062"}, {"ref": "ramanarvind/kannada-mnist", "kernel_id": "6116874"}, {"ref": "amneves/kannada-with-tensorflow-keras-83-7-dig", "kernel_id": "6582045"}, {"ref": "polyzer/hyperparameters-tuning-with-kerastuner-hyperresnet", "kernel_id": "6421213"}, {"ref": "polyzer/kerascnn", "kernel_id": "6408773"}, {"ref": "polyzer/very-easy-kannada-mnist-dense-net", "kernel_id": "6390712"}, {"ref": "marstebi/cnn-with-batch-normalization-and-data-augmentation", "kernel_id": "6622995"}, {"ref": "kabilan45/kannadamnist", "kernel_id": "6968116"}, {"ref": "al4win/kernel-kannada-01", "kernel_id": "6298117"}, {"ref": "qz701731tby/kannada-mnist-selfcnn-test", "kernel_id": "6457258"}, {"ref": "qz701731tby/improvement-of-kannada-mnist-made-simple", "kernel_id": "6514885"}, {"ref": "digantpatel/kernel6b4c433629", "kernel_id": "6919457"}, {"ref": "fyuta24/kannada-mnist-cnn-achived-0-988-private-score", "kernel_id": "6040840"}, {"ref": "kaushal2896/kannada-mnist-using-different-cnn-architectures", "kernel_id": "6027317"}, {"ref": "nnquangw/kannanda-mnist-how-i-get-to-9th-position", "kernel_id": "6870539"}, {"ref": "sharif485/the-more-you-teach-me-the-more-i-learn", "kernel_id": "6767604"}, {"ref": "cahein1371/simple-cnn-by-keras", "kernel_id": "6902403"}, {"ref": "jagdeesh1009/kannada-mnist-check", "kernel_id": "6929803"}, {"ref": "aniketmm98/kernel432b47a074", "kernel_id": "6166226"}, {"ref": "benanakca/kannada-mnist-cnn-tutorial-with-app-top-2", "kernel_id": "6647318"}, {"ref": "pseroul/cnn-on-kannada-mnist", "kernel_id": "6531447"}, {"ref": "jakelj/kannada-mnist-beginner-to", "kernel_id": "6113474"}, {"ref": "tippu89/kannada-mnist-keras-cnn-y-network", "kernel_id": "6836140"}, {"ref": "tippu89/kannada-mnist-keras-cnn-starter", "kernel_id": "6829070"}, {"ref": "tippu89/kannada-mnist-lgb", "kernel_id": "6310947"}, {"ref": "harshavardhanbabu/kannadamnist-catalyst-pytorch", "kernel_id": "6204020"}, {"ref": "julianli0220/kannada-mnist", "kernel_id": "6787362"}, {"ref": "sathkrith/cnn-for-digits", "kernel_id": "6042854"}, {"ref": "iamsiddhant/kannada-mnist-dataset", "kernel_id": "6094515"}, {"ref": "geochatz/kannada-mnist-recognizer-cnn", "kernel_id": "6213367"}, {"ref": "crysialucifer/kanada-mnist-tensorflow-keras", "kernel_id": "6695669"}, {"ref": "jsvishnuj/kannada-language-recognizer-deep-learning", "kernel_id": "6211956"}, {"ref": "utsavnandi/k-mnist-first-kernel", "kernel_id": "6649807"}, {"ref": "venky2506/kannadamnist", "kernel_id": "6003697"}, {"ref": "douglascamargo/kannada-mnist", "kernel_id": "6219218"}, {"ref": "valuimnee/simple-dnn", "kernel_id": "6783738"}, {"ref": "rspmodels/kernel67c2db6e62", "kernel_id": "6614159"}, {"ref": "c7934597/cnn-in-tensorflow-for-kannada-digits", "kernel_id": "6696644"}, {"ref": "darshaanjay/kannada-mnist-digit-recognize-99-75-accuracy", "kernel_id": "6046108"}, {"ref": "kristogj/basic-cnn-with-kannada-mnist", "kernel_id": "6496676"}, {"ref": "nikhil2381/kannadamnist-fast-ai", "kernel_id": "6466486"}, {"ref": "duvictorsc/transfer-learning", "kernel_id": "6219442"}, {"ref": "duvictorsc/kannada-mnist-convolutional-neural-network", "kernel_id": "6266310"}, {"ref": "duvictorsc/keras-load-model-with-learning-rate", "kernel_id": "6325546"}, {"ref": "airk0126/my-first-kaggle-kernels-only-competition-keras", "kernel_id": "6469869"}, {"ref": "airk0126/cnn-implementation-in-keras-for-beginners", "kernel_id": "6478093"}, {"ref": "yuki19940627/neural-nets-cnn", "kernel_id": "6675817"}, {"ref": "mateusz8005/kannada-digits-recognition-using-cnn-keras", "kernel_id": "6263838"}, {"ref": "manugondssg/kannada-mnist-with-custom-cnn-in-pytorch", "kernel_id": "6384470"}, {"ref": "chariots17/first-submit", "kernel_id": "6489493"}, {"ref": "chariots17/my-first-comptition", "kernel_id": "6440759"}, {"ref": "chariots17/try-again", "kernel_id": "6540146"}, {"ref": "five555/kernel2fa0f8591c", "kernel_id": "6847002"}, {"ref": "mswieton/2019-11-28-kannada-densenn", "kernel_id": "6673280"}, {"ref": "mswieton/2019-11-29-kannada-simple-cnn", "kernel_id": "6819462"}, {"ref": "adarshbiradar/kannada-mnist", "kernel_id": "6653262"}, {"ref": "joatom/kannada-mnist-speed-up-fastai-image-processing", "kernel_id": "6415424"}, {"ref": "joatom/kannada-mnist-inside-a-neural-net", "kernel_id": "6546400"}, {"ref": "ashwin89872/kannada-mnist-in-keras", "kernel_id": "6208427"}, {"ref": "ankur1401/kannada-digit-recognizer", "kernel_id": "6047540"}, {"ref": "humblefool786/mnistkannada", "kernel_id": "6428472"}, {"ref": "shinebalance/kannada-mnist-simple-cnn-with-chainer", "kernel_id": "6907219"}, {"ref": "subinium/pytorch-1-ann-simple-cnn", "kernel_id": "6557016"}, {"ref": "subinium/shap-deep-explainer-pytorch-ver", "kernel_id": "6684379"}, {"ref": "grvgtm/regression-keras-kanada-mnist-cnn", "kernel_id": "6749865"}, {"ref": "omerbeden/cnn-classifier", "kernel_id": "6057318"}, {"ref": "zeeeeey/pytorch-cnn-kanada", "kernel_id": "6677163"}, {"ref": "okeaditya/keras4kannada", "kernel_id": "6419853"}, {"ref": "hanjoonchoe/kannada-mnist-classification-with-cnn-pytorch", "kernel_id": "6676246"}, {"ref": "hanjoonchoe/some-explorations-in-outliers", "kernel_id": "6157191"}, {"ref": "hanjoonchoe/kannada-mnist-simple-neural-net", "kernel_id": "6051542"}, {"ref": "sofyantandungan/kannada-digit-classification-w-cnn-pytorch", "kernel_id": "6825409"}, {"ref": "ozgurdogan646/kannada-mnist-cnn", "kernel_id": "6932595"}, {"ref": "sagardeshmukh01/kannada-mnist-fastai-resnet30", "kernel_id": "6334072"}, {"ref": "msl007/kernel54cfb2863b", "kernel_id": "6050154"}, {"ref": "melissarajaram/model-ensembling-and-transfer-learning", "kernel_id": "6714708"}, {"ref": "melissarajaram/mixup-augmentation-tta-fastai", "kernel_id": "6128987"}, {"ref": "tiannnn/distributed-sklearn-with-sk-dist", "kernel_id": "6366812"}, {"ref": "tiannnn/keras-starter-kit-kanada-mnist", "kernel_id": "6239040"}, {"ref": "tiannnn/visualising-kanada-mnist", "kernel_id": "6238586"}, {"ref": "infhyroyage/investigation-about-dig-mnist-csv", "kernel_id": "6653743"}, {"ref": "billynguyen/begin-with-tensorflow-2", "kernel_id": "6708307"}, {"ref": "billynguyen/modeling-experiments", "kernel_id": "6136302"}, {"ref": "flyingmuttus/kannada-mnist-with-fastai", "kernel_id": "6624476"}, {"ref": "flyingmuttus/kannada", "kernel_id": "6619447"}, {"ref": "kenanajk/understanding-cnns-with-kannada-mnist", "kernel_id": "6520964"}, {"ref": "liaodi/pytorchlenet", "kernel_id": "6932443"}, {"ref": "randomoverlord2/kannada-mnist", "kernel_id": "6918567"}, {"ref": "polunwang/a-simple-model-with-10-layer-cnns", "kernel_id": "6014562"}, {"ref": "cuuuurry/let-s-try-some-dataaugumentation-on-kannada-mnist", "kernel_id": "6021051"}, {"ref": "bustam/cnn-in-keras-for-kannada-digits", "kernel_id": "6128843"}, {"ref": "drcapa/kannada-mnist-cnn", "kernel_id": "6045171"}, {"ref": "dingding123/kaggledays-china-novice-comp1", "kernel_id": "6298731"}, {"ref": "elgendy5576/using-image-data-generator", "kernel_id": "6645960"}, {"ref": "japanese910/kannnada-mnist", "kernel_id": "6080595"}, {"ref": "ashishbarvaliya/kannada-mnist-simple-cnn", "kernel_id": "6229808"}, {"ref": "faressayah/fashion-mnist-classification-using-cnns", "kernel_id": "6811764"}, {"ref": "vikassingh1996/simple-cnn-modeling-kannanda-mnist", "kernel_id": "6301034"}, {"ref": "mahmoudvaziri/kannadamnist", "kernel_id": "6513540"}, {"ref": "suneelpatel/indian-way-to-learn-cnn", "kernel_id": "6002433"}, {"ref": "luffy1105/kannada-mnist-by-kannadiga-using-pytorch", "kernel_id": "6845248"}, {"ref": "kxvptev/pytorch-cnn-with-spatial-transform-network", "kernel_id": "6281060"}, {"ref": "nicodem/kannada-mnist-by-cnn", "kernel_id": "6942339"}, {"ref": "bobforli/kernel74e059b74b", "kernel_id": "6175064"}, {"ref": "greatgamedota/kannada-mnist-cnn", "kernel_id": "6078277"}, {"ref": "amal19/kannada-mnist", "kernel_id": "6890597"}, {"ref": "nandor65/kmnist-trio", "kernel_id": "6732858"}, {"ref": "ahmedzeiri/kernel244a1c5670", "kernel_id": "6020280"}, {"ref": "ahmedzeiri/kernela851d83a3e", "kernel_id": "6025915"}, {"ref": "mengcius/pytorch-kanada-mnist", "kernel_id": "6426225"}, {"ref": "emilianogl/kannada-mnist-keras-cnn", "kernel_id": "6692341"}, {"ref": "simonthesidekick/a-grid-search-like-approach", "kernel_id": "6848146"}, {"ref": "xiejialun/deep-dive-in-kannadamnist-with-tfkeras", "kernel_id": "6777882"}, {"ref": "deepakdeepu8978/kannada-mnist-using-cnn-with-acc-98", "kernel_id": "6118256"}, {"ref": "thomasschafer97/keras-kannada-mnist", "kernel_id": "6220325"}, {"ref": "wojciech1103/kannada-mnist-activation-visualization", "kernel_id": "6024408"}, {"ref": "aabhi202/using-monk-low-code-transfer-learning-toolkit", "kernel_id": "6610833"}, {"ref": "aabhi202/only-submissions", "kernel_id": "6618813"}, {"ref": "natavidad/kaggle-day-1", "kernel_id": "6299598"}, {"ref": "yiranupup/kannada-mnist", "kernel_id": "6299122"}, {"ref": "niteshksingh/kannada-mnist-acc-0-97", "kernel_id": "6386019"}, {"ref": "zanin259/kannda-mnist", "kernel_id": "6655969"}, {"ref": "aleksimu/kannada", "kernel_id": "6243210"}, {"ref": "chmarco97/kannada-mnist", "kernel_id": "6492370"}, {"ref": "chenchanggen/kernel1a934f9e51", "kernel_id": "6887942"}, {"ref": "rubenscastro/kannada-mnist-beginner-by-rubens", "kernel_id": "6200898"}, {"ref": "gearlem/kannada-mnist-gear", "kernel_id": "6220163"}, {"ref": "alexkct/kannadamnist-fast-ai-alexkct", "kernel_id": "6534712"}, {"ref": "annaelshayeb/kannada-digit-recognition", "kernel_id": "6953366"}, {"ref": "lilydong/kannada-mnist-lilydong", "kernel_id": "6298764"}, {"ref": "kliu1892/kannada-digits-recognition-go-for-better-ranking", "kernel_id": "6300558"}, {"ref": "kashyapmehta/ee258-kannada-dataset", "kernel_id": "6798908"}, {"ref": "hanwenzhu/kannada-mnist", "kernel_id": "6906558"}, {"ref": "pranitbankar/keras-conv2d-kannada-digits", "kernel_id": "6481029"}, {"ref": "pranitbankar/keras-conv2d-kannada", "kernel_id": "6479968"}, {"ref": "shrishahs/kannadamnistbeginnerstry", "kernel_id": "6430258"}, {"ref": "zmiecerbyl/task-2", "kernel_id": "6805852"}, {"ref": "zmiecerbyl/zyanon-nash-kandydat", "kernel_id": "6504596"}, {"ref": "valeriyarudikova/kernel14c6d795d2", "kernel_id": "6854872"}, {"ref": "antoninavertinskaya/kernel281a8dfa55", "kernel_id": "6627260"}, {"ref": "nikitaatroshenko/kernel3fff1d0236", "kernel_id": "6626310"}, {"ref": "ehtishamkhan/kannada-mnist", "kernel_id": "6895278"}, {"ref": "yonminma/keras-easy-with-0-9892-score", "kernel_id": "6625675"}, {"ref": "aliakseidziadziuk/bsu-dziadziuk-aliaksei", "kernel_id": "6847816"}, {"ref": "alexanderzhidkov/kernel25b6f0c072", "kernel_id": "6682083"}, {"ref": "barabashkkka/kernel55d927b991", "kernel_id": "6686191"}, {"ref": "hankovich/kernel4b60a7b069", "kernel_id": "6686522"}, {"ref": "olegshamanin/kernel7c12d21063", "kernel_id": "6932505"}, {"ref": "nkuchenb/kernel3d8d56809a", "kernel_id": "6805401"}, {"ref": "cyzhou99/coincidance-lr", "kernel_id": "6843831"}, {"ref": "fkdplc/kannada-mnist-keras-cnn", "kernel_id": "6998491"}, {"ref": "bigcaij/lenet", "kernel_id": "6929939"}, {"ref": "ibraheemmoosa/kannada-mnist-fully-conv-with-dropout", "kernel_id": "7062637"}, {"ref": "alosat/kernel74f06a0753", "kernel_id": "7093186"}, {"ref": "scirpus/begin-with-tensorflow-2-but-use-dct", "kernel_id": "7359502"}, {"ref": "scirpus/begin-with-tensorflow-2-but-use-haar", "kernel_id": "7403126"}, {"ref": "blambert/quick-and-easy-keras-cnn", "kernel_id": "7045538"}, {"ref": "blambert/keras-functional-api-small-resnet", "kernel_id": "7055915"}, {"ref": "pikkupr/kannadamnist-cnn-with-hyperparameters-tuning", "kernel_id": "7050052"}, {"ref": "pikkupr/kannadamnist-cnn-dataaugmentation", "kernel_id": "7053648"}, {"ref": "dangerx/kernel255b69025c", "kernel_id": "7996246"}, {"ref": "abhishek4273/building-cnns-while-visualizing-with-monk", "kernel_id": "7376798"}, {"ref": "anjanatiha/kannada-mnist-classification-with-deep-learning", "kernel_id": "7804043"}, {"ref": "shravanc/kernel7de05e6660", "kernel_id": "7390448"}, {"ref": "anayad/baseline-cnn", "kernel_id": "7206620"}, {"ref": "r4rajaa/tensorflow2-simple-nn-models", "kernel_id": "7046498"}, {"ref": "mylee2009/kannada-building-some-noob-dnn-on-keras", "kernel_id": "7562636"}, {"ref": "ccchang801023/se-net-my-top1-baseline-model-with-pytorch", "kernel_id": "7027371"}, {"ref": "jd81197/capsule-kannad", "kernel_id": "7073325"}, {"ref": "fernandoeac/kannada-mnist", "kernel_id": "7099866"}, {"ref": "numan947/vggnet-13-with-train-digit-training", "kernel_id": "7077112"}, {"ref": "bmk007/kannada-mnist", "kernel_id": "7692471"}, {"ref": "asheng1067/alvin-slg", "kernel_id": "7758167"}, {"ref": "toraveng/kamyno-kannada", "kernel_id": "7077594"}, {"ref": "nathanbruzat/base-cnn-in-keras-for-kannada-digits", "kernel_id": "7523819"}, {"ref": "nitwmanish/kannada-mnist-simple-cnn-in-keras", "kernel_id": "7283795"}, {"ref": "nitwmanish/kannada-mnist-simple-densenet-in-keras", "kernel_id": "7302225"}, {"ref": "abbbhishekkk/kannadamnist", "kernel_id": "7929554"}, {"ref": "frolui/knnd-mnst", "kernel_id": "7032930"}, {"ref": "siddheshsathe/kannada-mnist", "kernel_id": "7923787"}, {"ref": "sharmaalok/kannada-mnist", "kernel_id": "7193573"}, {"ref": "jagdeesh1009/kannada-mnist-check-ebe6f1", "kernel_id": "7055495"}, {"ref": "kimeg7/kannada-mnist-data-recognizer", "kernel_id": "7821696"}, {"ref": "mchavoshi/rahnema-new-mnist", "kernel_id": "7863739"}, {"ref": "gundamb2/simple-eda-and-tf-keras-cnn", "kernel_id": "7749041"}, {"ref": "alpertemel/atemel-kannada-mnist-with-keras", "kernel_id": "7386094"}, {"ref": "peterpetrov826/kernel6ca0aa874d", "kernel_id": "7010600"}, {"ref": "rainmaker29/kannada-mnist-98", "kernel_id": "7558077"}, {"ref": "thetrueharvey/kannada-mnist", "kernel_id": "7436952"}, {"ref": "thetrueharvey/kannada-mnist-tensorflow", "kernel_id": "7559847"}, {"ref": "yettellasiva/kannada-mnist-cnn", "kernel_id": "7780610"}, {"ref": "lxd941213/kernel5bd9022c7c", "kernel_id": "7822388"}, {"ref": "mswieton/2019-12-12-kannada-cnn-with-augmentation", "kernel_id": "7007758"}, {"ref": "mswieton/2019-12-17-kannada-cnn-with-augmentation-lrr", "kernel_id": "7081113"}, {"ref": "parikshitbangde/kannad-mnist", "kernel_id": "7072546"}, {"ref": "nidhi12mishra/swiggy-ds", "kernel_id": "7051251"}, {"ref": "maguser/my-kannada-mnist", "kernel_id": "7031494"}, {"ref": "danielkurniadi/kannada-pytorch-with-cnn", "kernel_id": "7398380"}, {"ref": "cumhuralper/atemel-kannada-mnist-with-keras", "kernel_id": "7384966"}, {"ref": "alekseykobylin/pytorch-cnn-kannada-mnist", "kernel_id": "7001574"}, {"ref": "eugenesg/kannada-digits-kernel", "kernel_id": "7044621"}, {"ref": "tt195361/my-best-private-score-model-for-kannada-mnist", "kernel_id": "7136639"}, {"ref": "amitjslearn/transfer-learning-using-mnist-vgg-like", "kernel_id": "7051939"}, {"ref": "vahidsa/kaanada-pca-svc", "kernel_id": "7897208"}, {"ref": "sasa99/kernel1a9e717818", "kernel_id": "7878939"}, {"ref": "rahulharlalka/kannada-mnist", "kernel_id": "7203130"}, {"ref": "rahulharlalka/kannada-mnist-svm", "kernel_id": "7207050"}, {"ref": "dimafurs1337/kannada-mnist-cnn", "kernel_id": "7982996"}, {"ref": "cbarburescu/pytorch-ftw", "kernel_id": "7231126"}, {"ref": "infhyroyage/apply-stn-to-dig-mnist-csv", "kernel_id": "7159099"}, {"ref": "ajax0564/kernel7318a9713a", "kernel_id": "7483689"}, {"ref": "ricardoamferreira/tf-keras-cnn-with-kannada-mnist-top-9", "kernel_id": "7042242"}, {"ref": "xerous/weareready", "kernel_id": "7992400"}, {"ref": "bobbyscience/kannada-mnist-cnn-keras", "kernel_id": "7592424"}, {"ref": "toreleon/mnist-kannada-with-cnn", "kernel_id": "7666638"}, {"ref": "knnagele/first-competition-mnist", "kernel_id": "7225760"}, {"ref": "bilokin/kannada", "kernel_id": "7800476"}, {"ref": "faressayah/tensorflow-2-tutorial-get-started-in-deep-learning", "kernel_id": "7475896"}, {"ref": "venkateshprabhug/let-s-teach-kannada-to-the-machines", "kernel_id": "7979291"}, {"ref": "anku5hk/kannada-mnist", "kernel_id": "7922441"}, {"ref": "pallavisonagote/kernel36170b7657", "kernel_id": "7838811"}, {"ref": "nicodem/kannada-mnist-cnn-98-5", "kernel_id": "7068025"}, {"ref": "prashanthprao/linear-regression-to-kannada-minst", "kernel_id": "7484362"}, {"ref": "sabya40/cnn-image-classification-with-keras-beginner", "kernel_id": "7284331"}, {"ref": "sidasj/visualization-of-kanadda-digits", "kernel_id": "7014792"}, {"ref": "pratikchoudhari/kannada-mnist", "kernel_id": "7014505"}, {"ref": "nibba2018/kannada-mnist", "kernel_id": "7198676"}, {"ref": "namanj27/11th-place-solution-code", "kernel_id": "7037785"}, {"ref": "namanj27/score-0-99-public-score", "kernel_id": "7063214"}, {"ref": "arpithaananth/my-first-cnn-project-kannada-mnist", "kernel_id": "7861235"}, {"ref": "nickteim/kannada-mnist-1", "kernel_id": "7311154"}, {"ref": "joshuajhchoi/kannada-mnist-cnn-tutorial", "kernel_id": "7628345"}, {"ref": "anandsm7/basic-kannada-mnist-tensorflow-2-0-99", "kernel_id": "7541561"}, {"ref": "meymchen/cnn-with-mxnet-gluon-api", "kernel_id": "7073954"}, {"ref": "sureshkothakota/kanada-number-recognization", "kernel_id": "7824636"}, {"ref": "felipeapgarcia/kannada-mnist-classification", "kernel_id": "7241313"}, {"ref": "sophiasusanraju/kannadamnist-v3-team-niso", "kernel_id": "7040501"}, {"ref": "vladislavdzeikun/kannada-mnist-lab-2-cgan-dzeikun", "kernel_id": "7164035"}, {"ref": "liuyuanzhao/kernel22067ddf63", "kernel_id": "7339701"}, {"ref": "mlosthread/kernelsvm-hog", "kernel_id": "7336630"}, {"ref": "andrewgao/kannada-mnist-cnn-tutorial-with-app-top-2-17ff12", "kernel_id": "7015919"}, {"ref": "andrewgao/kannada-mnist", "kernel_id": "7045855"}, {"ref": "andrewgao/keras-easy-with-0-9892-score", "kernel_id": "7036521"}, {"ref": "andrewgao/kannada-mnist-cnn-tutorial-with-app-top-2-11a1f5", "kernel_id": "7039119"}, {"ref": "andrewgao/kannada-mnist-cnn-tutorial-with-app-top-2-cce7db", "kernel_id": "7080776"}, {"ref": "andrewgao/deep-dive-in-kannadamnist-with-tfkeras", "kernel_id": "7071669"}, {"ref": "andrewgao/0-9880-public-accuracy-pytorch", "kernel_id": "7071735"}, {"ref": "cyzhou99/coincidance-lr-lbp", "kernel_id": "7352830"}, {"ref": "cyzhou99/coincidance-xgboost", "kernel_id": "7353379"}, {"ref": "bigcaij/lengai", "kernel_id": "7060757"}, {"ref": "test19644/kernel7525df35e3", "kernel_id": "7053811"}, {"ref": "leonyangyu/kannada-mnist-leonyu", "kernel_id": "7072082"}, {"ref": "vivekvashista/kannada-mnist-check", "kernel_id": "7044675"}, {"ref": "sofiyacm/swiggyworkshop", "kernel_id": "7051280"}, {"ref": "rezedamindubaeva/kernel12cd3c885b", "kernel_id": "7079013"}, {"ref": "valerias/kernel608f2a4198", "kernel_id": "7077083"}, {"ref": "akashkumarmallick/kernel235306077e", "kernel_id": "7075190"}, {"ref": "viacheslavdedik/kernelcc708fd95f", "kernel_id": "7077884"}, {"ref": "denisow/excel-mnist", "kernel_id": "7136729"}, {"ref": "ngbihu/kernel1210d3ca2d", "kernel_id": "7278892"}, {"ref": "yazeenyuvvh/kannada-mnist", "kernel_id": "7822975"}, {"ref": "oliversoptq/kernel11f803ba74", "kernel_id": "7618697"}, {"ref": "zohaibmohd/kannada-mnist", "kernel_id": "7663191"}, {"ref": "tejaskhanna/tk-update", "kernel_id": "7941711"}, {"ref": "tadehalexani/kannada-mnist-using-pca", "kernel_id": "7868756"}, {"ref": "bhaveshpanchal13/kernel7d7ed6ec5c", "kernel_id": "7923374"}, {"ref": "eraldorfernandes/kannada-mnist-exemplo-de-submiss-o", "kernel_id": "8910015"}, {"ref": "tunguz/kannada-mnist-2d-t-sne", "kernel_id": "8484859"}, {"ref": "tunguz/kannada-mnist-2d-umap", "kernel_id": "8484913"}, {"ref": "tunguz/kannada-mnist-2d-umap-and-tsne-with-rapids", "kernel_id": "8499223"}, {"ref": "hsaeme/mnist-cnn", "kernel_id": "8018457"}, {"ref": "thetrueharvey/kannada-mnist-ensemble", "kernel_id": "8323402"}, {"ref": "nayaksowrabh/kannada-notebook", "kernel_id": "8707434"}, {"ref": "deeprajbasu/cnn-withkeras", "kernel_id": "8596532"}, {"ref": "abhisheksinghblr/kannada-mnist-using-fast-ai", "kernel_id": "8083460"}, {"ref": "faressayah/digit-recognizer-using-anns-cnns", "kernel_id": "8946531"}, {"ref": "gurujaing/kannada-mnist", "kernel_id": "8216790"}, {"ref": "srinathsrinivasan1/kannada-mnist", "kernel_id": "8774022"}, {"ref": "giniya/giniya-1", "kernel_id": "8301856"}, {"ref": "kojiiwase/kernel74c205f3f1", "kernel_id": "8129996"}, {"ref": "nguyncaoduy/kanada-mnist", "kernel_id": "8282582"}, {"ref": "jugglingsnakeboarder/kannadamnistwithcnnontpu", "kernel_id": "8045382"}, {"ref": "nishanthnrn/kannada-mnist", "kernel_id": "8925091"}, {"ref": "darwinwin/kannada-mnist-h2o-automl-in-r", "kernel_id": "8125979"}, {"ref": "nitinmahajan20/nm0326-1", "kernel_id": "8606830"}, {"ref": "saravananoppila/cnn-kannada-mnist", "kernel_id": "9174543"}, {"ref": "kondratyonok/1-homework", "kernel_id": "9146763"}, {"ref": "opalle/kernel10ecde5976", "kernel_id": "9331322"}, {"ref": "swatoplus/kernel330d0bfd5e", "kernel_id": "9347957"}, {"ref": "pradneshmhatre/kannada-mnist-cnn-with-keras", "kernel_id": "9495233"}, {"ref": "sneha5gsm/kannada-mnist", "kernel_id": "9243467"}, {"ref": "abnersuniga/trying-fast-ai", "kernel_id": "9743076"}, {"ref": "epdrumond/simple-cnn-classification", "kernel_id": "9798744"}, {"ref": "nannigalaxy/kannada-mnist-pytorch", "kernel_id": "9509904"}, {"ref": "aladdint/cnn-with-data-augmentation-and-lr-reduction", "kernel_id": "9031020"}, {"ref": "achyutsrivastava/toyresnet-svm", "kernel_id": "9151517"}, {"ref": "iljailya/kernel4cdacc46d4", "kernel_id": "9342253"}, {"ref": "sinchubhat/kannada-mnist-using-monk", "kernel_id": "9682112"}, {"ref": "kevinelong/kannada-mnist-mlpclassifier-baseline", "kernel_id": "9084890"}, {"ref": "ashishsinha29/keras-cnn", "kernel_id": "9480319"}, {"ref": "rahulkusuma99/kannada-mnist", "kernel_id": "9886083"}, {"ref": "gaponeo/kernel7b0330bf6e", "kernel_id": "9251673"}, {"ref": "dmitriybaranov/kernel42113ced1b", "kernel_id": "9348442"}, {"ref": "chinmaygopal/kernel2b45797b35", "kernel_id": "9501697"}, {"ref": "adhok93/submission-pytorch-simple-example", "kernel_id": "10240697"}, {"ref": "rahulbana/kannad-mnist", "kernel_id": "10652272"}, {"ref": "salmanhiro/efficientnet", "kernel_id": "10238116"}, {"ref": "barracoda/kannada-mnist", "kernel_id": "10389588"}, {"ref": "ajinkyaabhang/kannada-mnist-using-cnn-acc-98-5", "kernel_id": "10358180"}, {"ref": "muhhamedarslanishaq/kernel1303f86d76", "kernel_id": "10459677"}, {"ref": "muhhamedarslanishaq/kernel504743c51c", "kernel_id": "10458790"}, {"ref": "amanatman/kernel742737c8c4", "kernel_id": "10928003"}, {"ref": "ratul6/kannada-mnist-using-cnn-acc-98-5", "kernel_id": "10774785"}, {"ref": "alshautsou/shevsubmission", "kernel_id": "10036768"}, {"ref": "aishwaryshukla/kernel3952add23c", "kernel_id": "10825191"}, {"ref": "shengmincui/cnn-model", "kernel_id": "10007752"}, {"ref": "erickortegadn/proyecto-kannada-mnist", "kernel_id": "10183862"}, {"ref": "valeskadeponte/proyecto-kannada-mnist-adpo", "kernel_id": "10317217"}, {"ref": "ryomamitani/kernel3fe3241874", "kernel_id": "10809797"}, {"ref": "hideyukimimura/kernel5da7524d2a", "kernel_id": "10487180"}, {"ref": "tokuntokum/kernel67c5a2b3ed", "kernel_id": "10912405"}, {"ref": "thayashi02/kernel7748143715", "kernel_id": "10722425"}, {"ref": "thayashi02/kernel257817e430", "kernel_id": "10722643"}, {"ref": "thayashi02/kernel53353043d7", "kernel_id": "10730494"}, {"ref": "thayashi02/kernel42ced35c13", "kernel_id": "10746044"}, {"ref": "thayashi02/kernelbf26be97e2", "kernel_id": "10809380"}, {"ref": "thayashi02/kernel12142ea011", "kernel_id": "10843413"}, {"ref": "thayashi02/kernel45dbe365f1", "kernel_id": "10843244"}, {"ref": "adhok93/simple-cnn-using-numpy", "kernel_id": "11189419"}, {"ref": "mritunjaisingh/kannada-mnist", "kernel_id": "11493291"}, {"ref": "fanbyprinciple/kannada-mnist-fastai-pixel-to-image-conv", "kernel_id": "11731459"}, {"ref": "fluffyhamster/kannada-mnist", "kernel_id": "11320921"}, {"ref": "dongshengcheng/kannadamnistcnn", "kernel_id": "11426572"}, {"ref": "luantrinhthanh/mysolution", "kernel_id": "11766516"}, {"ref": "darthmanav/multilayer-perceptron-fine-tuning-pca-t-sne-mnist", "kernel_id": "11966042"}, {"ref": "canaldaciencia/otimizadores", "kernel_id": "11435675"}, {"ref": "cristianfat/kannada-digit-recogniser", "kernel_id": "12095622"}, {"ref": "biswadeep20/notebookb804f19c0b", "kernel_id": "12963248"}, {"ref": "gyengera/kannada-mnist", "kernel_id": "12475577"}, {"ref": "iamshl/transfer-learning", "kernel_id": "12766923"}, {"ref": "iamshl/cnn-datagen", "kernel_id": "12637454"}, {"ref": "iamshl/notebook3bb2278fb8", "kernel_id": "12493627"}, {"ref": "iamshl/notebook23d127ece1", "kernel_id": "12343984"}, {"ref": "aibeats/kannadamnist-cnn-funjavasf", "kernel_id": "12385551"}, {"ref": "aibeats/kannadamnist-knn-funjavasf", "kernel_id": "12292119"}, {"ref": "patrickcy/kannada-mnist-knn", "kernel_id": "12315344"}, {"ref": "patrickcy/kannadaminst-cnn", "kernel_id": "12469183"}, {"ref": "patrickcy/kannadaminst-transferlearning-mobilenet", "kernel_id": "12790538"}, {"ref": "yuemengzhang/cnn-version2", "kernel_id": "12492510"}, {"ref": "chitramdasgupta/desi-mnist", "kernel_id": "12073706"}, {"ref": "vineethvc/kannadadigits", "kernel_id": "12996616"}, {"ref": "sauravjoshi23/kannada-mnist-comparing-accuracy-of-various-models", "kernel_id": "12892714"}, {"ref": "qiruisun/kannada-digit-cnn", "kernel_id": "12461296"}, {"ref": "qiruisun/digit-knn", "kernel_id": "12296237"}, {"ref": "kaifengliu/jiawei-liu", "kernel_id": "12248523"}, {"ref": "mkgpgroup/kannada-mnist-accuracy-resent", "kernel_id": "12321839"}, {"ref": "nehakumarithakur/kannada-mnist", "kernel_id": "12313661"}, {"ref": "furiouscool/minist-dataset-using-cnn", "kernel_id": "12439656"}, {"ref": "razintailor/kannada-mnist-resnet34", "kernel_id": "13735026"}, {"ref": "mischva11/cnn-small-try-on-kannada-mnist", "kernel_id": "13710708"}, {"ref": "yusufsalcan/kannada-mnist-classifier", "kernel_id": "13388249"}, {"ref": "yuemengzhang/mobilenet2-2", "kernel_id": "13235428"}, {"ref": "nadezdascosyrskih/notebookbd02afb681", "kernel_id": "13779060"}, {"ref": "caiqingyang/201212mnist", "kernel_id": "13457136"}, {"ref": "gexueren/kannada", "kernel_id": "13551880"}, {"ref": "duygudulger/kannada-mnist", "kernel_id": "13628129"}, {"ref": "handerblue/kd-minist", "kernel_id": "14200694"}, {"ref": "alexisvannaire/kannada-mnist", "kernel_id": "14458703"}, {"ref": "hasanmoni/ml-dl-2", "kernel_id": "14865216"}, {"ref": "sajidhussain3/kanadamnist-beginners-model", "kernel_id": "14108843"}, {"ref": "praveenmaripeti/kannada-mnist-with-pytorch-accuracy-98-5", "kernel_id": "14513426"}, {"ref": "alincijov/kannada-unsupervised-learning-autoencoders", "kernel_id": "14680827"}, {"ref": "pingan001/kannada-mnist", "kernel_id": "14456974"}, {"ref": "minhquang2912/kannada-mnist-choosing-the-right-optimizer", "kernel_id": "15800541"}, {"ref": "adhok93/cnn-using-numpy-new-version", "kernel_id": "16829837"}, {"ref": "nudatanuts/nb-chunyin-chang", "kernel_id": "16596536"}, {"ref": "stpeteishii/kannada-mnist-conv2d", "kernel_id": "16435832"}, {"ref": "naokiokada/kannada-mnist", "kernel_id": "16519219"}, {"ref": "manjilkarki/digits-recognizer", "kernel_id": "16626965"}, {"ref": "elvanselvano/kannada-mnist", "kernel_id": "16418853"}, {"ref": "dongjai04/se-net-baseline-eesm5720-inf", "kernel_id": "16671160"}, {"ref": "ryanmburns93/randomforest2-wpca-kannada-mnist", "kernel_id": "16642004"}, {"ref": "ryanmburns93/randomforest1-kannada-mnist", "kernel_id": "16641263"}, {"ref": "taehyunje/notebook8ddb4c4785", "kernel_id": "16540687"}, {"ref": "virjakawade/digit-recognition-on-kannada-mnist-with-cnns", "kernel_id": "17736944"}, {"ref": "loiccoquerelle/kannada-recognition-mnist", "kernel_id": "17495207"}, {"ref": "burakerdoan/kannada-mnist", "kernel_id": "17962632"}, {"ref": "kaundanyachinmaya07/cnn-with-keras-it-is", "kernel_id": "18366701"}, {"ref": "abandonblue1015/2021-07-03-mnist", "kernel_id": "18300954"}, {"ref": "amritpal333/dataloaders-in-pytorch-image-data", "kernel_id": "18656048"}, {"ref": "dhanalakshmik24/kannada-mnist-random-forest", "kernel_id": "18277779"}, {"ref": "ochi0411arata/usingaveragepooling", "kernel_id": "18764905"}, {"ref": "imanmkhamis/randomforestwithpca", "kernel_id": "18989359"}, {"ref": "f23296/gan-kannada-mnist", "kernel_id": "19863418"}, {"ref": "imanmkhamis/kannada-mnist-neural-network", "kernel_id": "19352320"}, {"ref": "timothyharrington/week-7-nn-supervised", "kernel_id": "19057839"}, {"ref": "xiangyuhe2021/kannada-mnist-neural-network-5-hdl-and-20-neurons", "kernel_id": "19036424"}, {"ref": "raycnn/cnn-using-numpy-new-version", "kernel_id": "19257698"}, {"ref": "aayushkubba/tensorflow-2-tutorial-get-started-in-deep-learning", "kernel_id": "20287046"}, {"ref": "barejaa/kannada-mnist-colab", "kernel_id": "20748583"}, {"ref": "trngvnnguyn/hog-svm-for-kannada-mnist", "kernel_id": "20592723"}, {"ref": "tharunnayak14/tensorflow-cnn-kannada-digit-classifier", "kernel_id": "20569894"}, {"ref": "ganeshishwarpatil/kannada-mnist-with-randomforest-ann", "kernel_id": "20286442"}, {"ref": "xsh2021/notebook8556bb5e6b", "kernel_id": "21676013"}, {"ref": "madagasygirl/kannada-mnist-classification-using-keras-r", "kernel_id": "24394236"}, {"ref": "changfeng0012/notebook519acc47c5", "kernel_id": "24017931"}, {"ref": "kataibence/002-kannada-minst-boost", "kernel_id": "25750186"}, {"ref": "szigsoma/teszt-pretrained-nn2", "kernel_id": "25917477"}, {"ref": "szigsoma/teszt1", "kernel_id": "25817181"}, {"ref": "joonasyoon/kannada-mnist-classification", "kernel_id": "25764325"}, {"ref": "heggadal/kannada-mnist-eng-accuracy-98", "kernel_id": "25491771"}, {"ref": "marutcomp/geez-digit-handwritten", "kernel_id": "26272762"}, {"ref": "szbela87/xgb-v2", "kernel_id": "26050300"}, {"ref": "szbela87/cnn-final", "kernel_id": "26020649"}, {"ref": "szlsidvid/szd-boosting", "kernel_id": "26058952"}, {"ref": "szlsidvid/notebook5af3b08c3f", "kernel_id": "26060651"}, {"ref": "matkemscienov/notebook35a9b1ce9d", "kernel_id": "26061925"}, {"ref": "chengjianjun/full-version", "kernel_id": "26704423"}, {"ref": "ashentoo/full-version", "kernel_id": "26692473"}, {"ref": "tejasurya/kannada-character-recognition", "kernel_id": "27963571"}, {"ref": "alexanderyyy/kannada-mnist-fastai2", "kernel_id": "27953328"}, {"ref": "pythonkumar/simple-ml-acc-89", "kernel_id": "28735715"}, {"ref": "alexanderyyy/kannada-mnist-fastai2-trained", "kernel_id": "28773321"}, {"ref": "yagli18/kannada-mnist", "kernel_id": "29960198"}, {"ref": "akshatpattiwar/kannada-mnist-logistic-dt-pca-xgboost", "kernel_id": "29708665"}, {"ref": "kemalfarukbaaran/kannada", "kernel_id": "29923086"}, {"ref": "imbikramsaha/kannada-mnist-with-fast-ai-accuracy-99-63", "kernel_id": "29125488"}, {"ref": "lukasvenema/fork-of-msds422-assignment-6-v2", "kernel_id": "29205943"}, {"ref": "lukasvenema/msds422-assignment-6", "kernel_id": "29182791"}, {"ref": "markdunbar/kannadamnist-cnn", "kernel_id": "30978834"}, {"ref": "kapoork318/notebook5d6efd2cd8", "kernel_id": "31015317"}, {"ref": "julianwyatt/notebook4f05596435", "kernel_id": "31599092"}, {"ref": "adwayerambojun/notebook6e36cec732", "kernel_id": "31425430"}, {"ref": "adwayerambojun/submission", "kernel_id": "31527483"}, {"ref": "yichenzhou55/cnnfinal", "kernel_id": "31046741"}, {"ref": "thorin88/pytorch-cnns", "kernel_id": "31979493"}, {"ref": "antoniobrych/cnn-vs-mlp-with-gridsearchcv", "kernel_id": "32817763"}, {"ref": "uroosehar/filterbaseddistillation", "kernel_id": "32633850"}, {"ref": "oussamahammami/kannada-mnist-digit-classifier", "kernel_id": "32504547"}, {"ref": "pranavkoduru/cnn-practice", "kernel_id": "32080133"}, {"ref": "pranavkoduru/ann-practice", "kernel_id": "32157792"}, {"ref": "evilpsycho42/notebook1783371419", "kernel_id": "33259102"}, {"ref": "yasashkurukuti/kannada-mnist", "kernel_id": "33108238"}, {"ref": "s4108053024/kmnist", "kernel_id": "33867410"}, {"ref": "tuan124816/faictestmlver4", "kernel_id": "33903804"}, {"ref": "codingburger/kannada-result", "kernel_id": "33398257"}, {"ref": "lilkhanh/india-mnist", "kernel_id": "33878817"}, {"ref": "lyj863566/notebook4329b2934e", "kernel_id": "33107711"}, {"ref": "suzzyya/notebook1783371419", "kernel_id": "33246242"}, {"ref": "congtien/mach-nha", "kernel_id": "33919293"}, {"ref": "sarahhimeko/kannada-mnist-pj", "kernel_id": "33965421"}, {"ref": "sarahhimeko/kannada-mnist-pj-2-0", "kernel_id": "33981690"}, {"ref": "chrisbrandfig/kannada-mnist-bjj", "kernel_id": "34175547"}, {"ref": "sarahhimeko/kannada-pj-3-0", "kernel_id": "34026630"}, {"ref": "nhomnhom0/faic-machine-learning-using-pytorch", "kernel_id": "34073421"}, {"ref": "anjuwonololade/kannada-mnist", "kernel_id": "35410337"}, {"ref": "marckherzonbarrion/ece668m-mid-term-project-barrion", "kernel_id": "35795462"}, {"ref": "xzxxmu/notebookde550ecc88", "kernel_id": "35498722"}, {"ref": "starnight531/minist-vgg16", "kernel_id": "36957505"}, {"ref": "manuelsierramunoz/kannada-mnist-simple-cnn-0-982", "kernel_id": "36098132"}, {"ref": "martonberta/kannada-mnist", "kernel_id": "37780864"}, {"ref": "manuelsierramunoz/pytorch-autoencoder", "kernel_id": "37403103"}, {"ref": "deepika2677/fork-of-notebookf7031c0291", "kernel_id": "37402352"}, {"ref": "andreynesterov/kannada-mnist-cuml", "kernel_id": "37325591"}, {"ref": "mdsalmanshams/kannada-mnist-cnn-with-tensorflow-top-10", "kernel_id": "38889025"}, {"ref": "derikvo/ga-kaggle-hackathon-2023-05-12", "kernel_id": "38449642"}, {"ref": "sebastiengac/kannada-mnist-and-cnn", "kernel_id": "38117804"}, {"ref": "sebastiengac/kannada-mnist-and-mlp", "kernel_id": "38124761"}, {"ref": "aljazizturja/kannadamnist-in-pytorch", "kernel_id": "38651609"}, {"ref": "amiribrahimtaj/mnist-9-dimensionality-reduction-techniques-knn", "kernel_id": "40068112"}, {"ref": "hlllhl/demodemo", "kernel_id": "41151332"}, {"ref": "swaroopsrisailam/kminst-pca", "kernel_id": "42375718"}, {"ref": "swaroopsrisailam/kannadamnist", "kernel_id": "42141710"}, {"ref": "saidevasathvik/autoencoders-pca", "kernel_id": "42647908"}, {"ref": "saidevasathvik/kannada-mnist", "kernel_id": "42142447"}, {"ref": "raviusz/kannada-mnist", "kernel_id": "42224044"}, {"ref": "swaroopsrisailam/cnn-kannadamnist", "kernel_id": "43167585"}, {"ref": "mohamedzabady/kannada-mnist-with-cnn", "kernel_id": "43407538"}, {"ref": "trile678/kanada-mnist-perceptron-layer-ex1", "kernel_id": "43821117"}, {"ref": "khangvuongkyle/chankhang-b2-bt1-kannada-mnist", "kernel_id": "43782675"}, {"ref": "plephu/phamlephu-bai2-cau1-kannada-mnist", "kernel_id": "43889211"}, {"ref": "nightbarron/dangtuan-b2c1-kannada-mnist", "kernel_id": "43909568"}, {"ref": "tranthihang/lesson-2-excercise-1", "kernel_id": "43862252"}, {"ref": "theguardian11/pytorch-kannada-mnist", "kernel_id": "43885505"}, {"ref": "huygiang99/mlp-kannada", "kernel_id": "43896699"}, {"ref": "regnens/dqt-kannadamnist", "kernel_id": "43852753"}, {"ref": "singletonly/kaggle-mnist-from-hf", "kernel_id": "43788371"}, {"ref": "haly142/ex2-kannadamnist-lyh", "kernel_id": "43854434"}, {"ref": "aharneishabburu/22236-vae", "kernel_id": "44026649"}, {"ref": "tranducgeremma/notebook4da17cf2c1", "kernel_id": "44496584"}, {"ref": "phuongnguynn/nvmphuong-mlp-arabic-handwritten-digits-ipynb", "kernel_id": "44912681"}, {"ref": "trmnguyn611/tramnguyen-ex2-kannada-mnist", "kernel_id": "44730889"}, {"ref": "ltntin/letantien-ex2-cau1-kannada-mnist", "kernel_id": "44085467"}, {"ref": "akshitsharma1/kannada-mnist-0-97-easy-detailed-cnn-tutorial", "kernel_id": "46249122"}, {"ref": "katherinennpham/kannada-code", "kernel_id": "47346860"}, {"ref": "kghsdajhfj/kannada-mnist", "kernel_id": "47454700"}, {"ref": "hiltonnguyen6868/hilton-cv-kannada-hand-written", "kernel_id": "47434893"}, {"ref": "anle404/kannada-digits-excercise-1", "kernel_id": "47418409"}, {"ref": "ranto1304/kannada-mnist", "kernel_id": "47311648"}, {"ref": "aclenius/notebookb2ca2907fe", "kernel_id": "48081749"}, {"ref": "saliharanauzun/kannada-mnist", "kernel_id": "48279768"}, {"ref": "lavievy/pytorch-kannada-mnist", "kernel_id": "49314619"}, {"ref": "thanhlongnguyen266/bai-tap-buoi-2", "kernel_id": "49468007"}, {"ref": "cngluatmaihuynh/maihuynhcongluat-bai2", "kernel_id": "49297311"}, {"ref": "khoatran88/khoatran-kannada-cnn", "kernel_id": "49341575"}, {"ref": "khoatran88/khoatran-kannada-mnist", "kernel_id": "49342204"}, {"ref": "tranhanhtriet/kannada-mnist-011124-v10", "kernel_id": "49262846"}, {"ref": "ducthienluong/chap-2-kannada-mnist-luong-duc-thien", "kernel_id": "49523005"}, {"ref": "ginkim/kannada-gin10969", "kernel_id": "49776956"}, {"ref": "quangnguyen21080/quang-kannada-mnist", "kernel_id": "49687310"}, {"ref": "dangnguyenha/kannada-nguyenhadang-ver2", "kernel_id": "49564736"}, {"ref": "tuanthanhlu/pytorch-kannada-mnist", "kernel_id": "49292766"}, {"ref": "dylland/kannada-mnist", "kernel_id": "49293979"}, {"ref": "lethongnhut/nhut-kannadamnist", "kernel_id": "49346195"}, {"ref": "lethongnhut/nhut-kannada-cnn", "kernel_id": "49344343"}, {"ref": "thuytran102/thuytran-kannada-mnist", "kernel_id": "49323447"}, {"ref": "nguyenthanhvantrung/giaibt-buoi2", "kernel_id": "49466589"}, {"ref": "phantuyet/kannada-mnist-chapter02", "kernel_id": "49786897"}, {"ref": "tinphtbi/shynbui-mnist", "kernel_id": "50343946"}, {"ref": "notsau/tensorflow-with-kannada-mnist-data", "kernel_id": "50271736"}, {"ref": "trangtrieu/kannada-mnist-exercise2", "kernel_id": "50597504"}, {"ref": "jacky72503/kannadamnist", "kernel_id": "52736040"}, {"ref": "hasancanzkan/kannada-torch-resnet18", "kernel_id": "53337523"}, {"ref": "gopeshgopi/kannada-hand-written-recognition", "kernel_id": "54993292"}, {"ref": "alargumgassim/nn-v3-kannada", "kernel_id": "55573262"}, {"ref": "alargumgassim/catboost-kannada", "kernel_id": "55500175"}, {"ref": "testerjoese/notebook80fe959a49", "kernel_id": "55041043"}, {"ref": "meglepeteskukac/mldlcompetition3-k-rtv-lyespatrik-submission2", "kernel_id": "55401415"}, {"ref": "monikag7/fashionmnist", "kernel_id": "55640002"}, {"ref": "benedekvali/competition3-v2", "kernel_id": "55191461"}, {"ref": "gbrknds/notebook879172bf0d", "kernel_id": "55238742"}, {"ref": "jinxuanfeng/adaboost", "kernel_id": "55452289"}, {"ref": "usonbekiliasov/notebook76ab339974", "kernel_id": "55581163"}, {"ref": "ziheji/cvhomework", "kernel_id": "58642525"}, {"ref": "darrentanzhijie/kannada-mnist", "kernel_id": "59899346"}, {"ref": "nguynhukhoaminh/kannada-mnist", "kernel_id": "60699976"}, {"ref": "rakanl/notebookbb787de187", "kernel_id": "60275711"}, {"ref": "yosefibrahim/clip-for-diffusion", "kernel_id": "60430317"}, {"ref": "lqhphuc/kannada-mnist", "kernel_id": "60943345"}, {"ref": "sabrinaphan/ex-buoi-2-kannada-mnist", "kernel_id": "61766343"}, {"ref": "duy18102004/kannada-mnist-classification", "kernel_id": "61622276"}, {"ref": "kn0209/kannada-mnist", "kernel_id": "61041622"}, {"ref": "melikechan/fork-of-mnist-98-9-accuracy-using-cnn", "kernel_id": "62015909"}, {"ref": "kaushalsahu123/kannada-mnist-deeplearning", "kernel_id": "63232266"}, {"ref": "likeabubble/kannada-digit-recognition", "kernel_id": "68175289"}, {"ref": "nvvs773g/fashion", "kernel_id": "70699752"}, {"ref": "jianxinliu/kannada-mnist-basic-cnn", "kernel_id": "71763364"}, {"ref": "vongocminh/kannada-mnist-sample", "kernel_id": "71054411"}, {"ref": "manuelsierramunoz/neural-network-from-scratch", "kernel_id": "71828677"}, {"ref": "phamtuonghan/ex2-kannada-mnist", "kernel_id": "71517160"}, {"ref": "tuanquan123/md82-tuan-quan-kannada-mnist", "kernel_id": "71908771"}, {"ref": "nguyengiao/my-exercise-2", "kernel_id": "71381258"}, {"ref": "stellarcrumbs/kannada-mnist", "kernel_id": "71966378"}, {"ref": "anhvt106/vta-kanada-mnist", "kernel_id": "71551619"}, {"ref": "minhdunglqunh/pytorch-kannada-mnist", "kernel_id": "72081764"}, {"ref": "cntlmh/kannada-mnist-khtn", "kernel_id": "72072245"}, {"ref": "tuantruongtrananh/exercise-2-kanada-mnist", "kernel_id": "72308048"}, {"ref": "zoethao510/ex2-kanada-mnist", "kernel_id": "73324350"}, {"ref": "nicholasdragun/nd-march-2", "kernel_id": "77667557"}, {"ref": "minhdat2k4/kannadamnist", "kernel_id": "77303352"}, {"ref": "tiesinger/kannada-mnist", "kernel_id": "77229881"}, {"ref": "leduyquang1201/kannada-mnist-quang", "kernel_id": "77312192"}, {"ref": "lykimngannguyen/kannadamnist", "kernel_id": "77237862"}, {"ref": "namhoangtrinh/kannada-minist", "kernel_id": "78335583"}, {"ref": "annaponomarchuk/kannada-mnist", "kernel_id": "78594814"}, {"ref": "elizabethkabanova/backpropagation-mnist-dataset", "kernel_id": "78351956"}, {"ref": "szbela87/sub-1-sharifbek", "kernel_id": "82192151"}, {"ref": "alinadantonov/notebook3403d6d105", "kernel_id": "89976354"}, {"ref": "tinsuabdeta/neural-network-for-image-clasfn-tinsae-abdeta", "kernel_id": "91957889"}, {"ref": "osquerkkzlk/kannada-torch", "kernel_id": "91485691"}, {"ref": "phucddo/notebookceb0144737", "kernel_id": "101844662"}, {"ref": "dawudujamaa/ujamaaddds8150-1", "kernel_id": "103327811"}, {"ref": "ktaz56/fortunec-kannadaw1", "kernel_id": "104458913"}, {"ref": "fishhsu/orginal", "kernel_id": "114824941"}, {"ref": "aryahatta/fashion-mnist-classification-using-cnns", "kernel_id": "114719757"}, {"ref": "albinaikarim/kannada-mnist-version-1", "kernel_id": "114967783"}, {"ref": "horvathmate/2-project-work", "kernel_id": "115994606"}, {"ref": "whinton/notebook5f2486ab12", "kernel_id": "115317754"}, {"ref": "lokeshpuma/kannada-mnist", "kernel_id": "116615128"}, {"ref": "bheemasiddartha/notebookda6e62600e", "kernel_id": "117975883"}, {"ref": "lokeshmamillapalli/smai-project", "kernel_id": "118003959"}, {"ref": "lokeshmamillapalli/smaiproject", "kernel_id": "118005189"}, {"ref": "tedrosh/notebook1453d59b68", "kernel_id": "119513908"}, {"ref": "caoxiaojun/notebook34086be1fa", "kernel_id": "125540123"}, {"ref": "skanx7/a-simple-resnet-using-lightning-0-98560", "kernel_id": "125830511"}, {"ref": "scorpiods/k-mnist-logistic-regression-with-pytorch", "kernel_id": "134313673"}]}
{"competition_id": "16018", "kernels": [{"ref": "anonymousfive/kernal-imd", "kernel_id": "5855301"}, {"ref": "asithaindrajith/kernel-new", "kernel_id": "5892067"}, {"ref": "asithaindrajith/kernelv", "kernel_id": "5897981"}, {"ref": "asithaindrajith/kernel-final", "kernel_id": "5921404"}, {"ref": "asithaindrajith/kernel-kavinda", "kernel_id": "5857863"}, {"ref": "asithaindrajith/kernel-test", "kernel_id": "6047347"}, {"ref": "asithaindrajith/kernel-test2", "kernel_id": "6047642"}, {"ref": "ashishkumarpanigrahy/hacktest", "kernel_id": "9821154"}]}
{"competition_id": "16037", "kernels": [{"ref": "danofer/israel-election-anomalies-starter", "kernel_id": "5814115"}, {"ref": "danofer/netanyahu-deep-learning-anomalies-fork-0-73-lb", "kernel_id": "5829675"}, {"ref": "itamarmushkin/tf-idf-isolation-forest", "kernel_id": "5832513"}]}
{"competition_id": "16058", "kernels": []}
{"competition_id": "16074", "kernels": []}
{"competition_id": "16097", "kernels": []}
{"competition_id": "16103", "kernels": []}
{"competition_id": "16111", "kernels": [{"ref": "kirichenko17roman/lightgbm-basic-example", "kernel_id": "5819487"}]}
{"competition_id": "16116", "kernels": []}
{"competition_id": "16117", "kernels": []}
{"competition_id": "16122", "kernels": []}
{"competition_id": "16127", "kernels": [{"ref": "andresfelipelunac/exploraci-n-datos", "kernel_id": "6115605"}]}
{"competition_id": "16135", "kernels": []}
{"competition_id": "16160", "kernels": [{"ref": "liepieshov/how-to-get-0-000-on-public", "kernel_id": "5897021"}]}
{"competition_id": "16180", "kernels": [{"ref": "ilhamfp31/baseline-start-here", "kernel_id": "5876129"}, {"ref": "mpwolke/indonesian", "kernel_id": "6018838"}, {"ref": "salmanhiro/modelnya-cupu-maklum-gabut-malming", "kernel_id": "8192307"}, {"ref": "muhammadjafar/test-hmif", "kernel_id": "10089089"}, {"ref": "jiaowoguanren/pred-tf-acc-0-74", "kernel_id": "27390394"}, {"ref": "jiaowoguanren/pred-automl-tf-acc-0-69", "kernel_id": "27376702"}]}
{"competition_id": "16197", "kernels": []}
{"competition_id": "16198", "kernels": []}
{"competition_id": "16200", "kernels": []}
{"competition_id": "16203", "kernels": []}
{"competition_id": "16208", "kernels": [{"ref": "kuantinglai/kernel172124573b", "kernel_id": "5896429"}, {"ref": "adiastra/handwritten-digit-classification", "kernel_id": "10402606"}]}
{"competition_id": "16211", "kernels": [{"ref": "rajiao/data-preprocessing-dsn-staff-promotions-2019", "kernel_id": "6310555"}, {"ref": "ayanlola/my-hyperparameter-tuning-techniques-steps-for-xgb", "kernel_id": "6386778"}, {"ref": "kennyrich/dsn-ml-competition", "kernel_id": "6310804"}, {"ref": "warrienelly/light-gbm", "kernel_id": "6468923"}, {"ref": "xlassix/fork-of-fork-of-fork-of-promoted-v6", "kernel_id": "6251719"}, {"ref": "ibekingsley/dsn-prebootcamp2019-competition", "kernel_id": "6371424"}, {"ref": "nelsonchris1/kernel74d943686e", "kernel_id": "6307231"}, {"ref": "officialyuro/intercampusai2019", "kernel_id": "6264169"}]}
{"competition_id": "16213", "kernels": []}
{"competition_id": "16214", "kernels": []}
{"competition_id": "16216", "kernels": []}
{"competition_id": "16226", "kernels": []}
{"competition_id": "16229", "kernels": []}
{"competition_id": "16234", "kernels": []}
{"competition_id": "16236", "kernels": []}
{"competition_id": "16245", "kernels": [{"ref": "faressayah/fashion-mnist-classification-using-cnns", "kernel_id": "6811764"}, {"ref": "baruchespinosa/debugrapids", "kernel_id": "9211469"}, {"ref": "abosol/correlation-shown-with-mds", "kernel_id": "9393973"}, {"ref": "bbradt/loading-and-exploring-spatial-maps", "kernel_id": "9054354"}, {"ref": "cttsai/xgboost-on-trends-neuroimaging", "kernel_id": "9802375"}, {"ref": "amrabed/trends-neuro-imaging-multioutput-bayesianridge", "kernel_id": "9255470"}, {"ref": "amrabed/trends-chain", "kernel_id": "9348653"}, {"ref": "srsteinkamp/trends-eda", "kernel_id": "9154926"}, {"ref": "srsteinkamp/trends-data-extraction-sm-map-features", "kernel_id": "9263382"}, {"ref": "tunguz/adversarial-trends-site", "kernel_id": "9788247"}, {"ref": "tunguz/rapids-randomforest-on-trends-neuroimaging", "kernel_id": "9741973"}, {"ref": "tunguz/trends-with-histgradientboostingregressor", "kernel_id": "9512137"}, {"ref": "tunguz/adversarial-trends", "kernel_id": "9494881"}, {"ref": "tunguz/rapids-knn-on-trends-neuroimaging", "kernel_id": "9472681"}, {"ref": "tunguz/trends-ridge-2", "kernel_id": "9386083"}, {"ref": "tunguz/h2o-automl-aggregator-and-submission", "kernel_id": "9709568"}, {"ref": "tunguz/trends-h2o-automl-domain1-var1", "kernel_id": "9698648"}, {"ref": "tunguz/trends-h2o-automl-domain1-var2", "kernel_id": "9698660"}, {"ref": "tunguz/trends-h2o-automl-domain2-var1", "kernel_id": "9698698"}, {"ref": "tunguz/trends-h2o-automl-domain2-var2", "kernel_id": "9698715"}, {"ref": "tunguz/trends-h2o-automl-age", "kernel_id": "9698103"}, {"ref": "tunguz/trends-with-sklearn-mlpregressor", "kernel_id": "9548939"}, {"ref": "tunguz/trends-with-sklearn-nusvr", "kernel_id": "9549044"}, {"ref": "tunguz/trends-tsne-and-umap-embeddings-with-rapids", "kernel_id": "9549369"}, {"ref": "tunguz/rapids-ensemble-for-trends-neuroimaging", "kernel_id": "9533389"}, {"ref": "tunguz/trends-train-test-creator", "kernel_id": "9597352"}, {"ref": "datatechap/data-prep-for-gnn-using-3d-conv-auto-encoder", "kernel_id": "9873709"}, {"ref": "akurmukov/trends-ridge-0-160", "kernel_id": "9085572"}, {"ref": "subhasism/trends-eda", "kernel_id": "9114074"}, {"ref": "armenabnousi/site1-vs-site2-features-mat-files-datagen-4-gpu", "kernel_id": "9423952"}, {"ref": "aerdem4/rapids-svm-on-trends-neuroimaging", "kernel_id": "9169698"}, {"ref": "aerdem4/trends-lofo-feature-importance", "kernel_id": "9533244"}, {"ref": "ttahara/technique-for-converting-fnc-to-matrix", "kernel_id": "9190713"}, {"ref": "ttahara/trends-simple-nn-baseline", "kernel_id": "9084991"}, {"ref": "writetoneeraj/upload-huge-dataset-on-google-cloud-storage-bucket", "kernel_id": "9434166"}, {"ref": "gaborvecsei/tfrecord-creation-for-fmri-scans", "kernel_id": "9230426"}, {"ref": "arashnic/trends-lofo-feature-importance", "kernel_id": "9744134"}, {"ref": "mks2192/trends-cluster-sfnc-groups", "kernel_id": "9920013"}, {"ref": "mks2192/reading-matlab-mat-files-and-eda", "kernel_id": "9089359"}, {"ref": "currypurin/trends-lgb-custom-metric", "kernel_id": "9139993"}, {"ref": "hamzag95/site-1-vs-site-2-classification", "kernel_id": "9596348"}, {"ref": "hamzag95/svm-cpu-parallelization-using-dask", "kernel_id": "9555315"}, {"ref": "hamzag95/site-1-vs-site-2-unsupervised-learning", "kernel_id": "9791502"}, {"ref": "anshumoudgil/brain-s-network-activation-via-eda", "kernel_id": "9345077"}, {"ref": "obeckman/trends-data-exploration", "kernel_id": "9221957"}, {"ref": "carricky/ridgecpm", "kernel_id": "9101528"}, {"ref": "grapestone5321/trends-neuroimaging-sample-submission", "kernel_id": "9145593"}, {"ref": "andypenrose/baggingregressor-rapids-ensemble", "kernel_id": "9953638"}, {"ref": "rftexas/trends-eda-lightgbm-rapids-ai-svm", "kernel_id": "9116081"}, {"ref": "docxian/trends-neuro-explorations-mat-files", "kernel_id": "9195977"}, {"ref": "tarunpaparaju/trends-neuroimaging-2d-slice-resnet-pytorch", "kernel_id": "9113413"}, {"ref": "hamditarek/trends-neuroimaging-xgbregressor", "kernel_id": "9086798"}, {"ref": "hamditarek/trends-neuroimaging-blend", "kernel_id": "9718859"}, {"ref": "kuldeepdhadhwal/reading-a-mat-file", "kernel_id": "9110765"}, {"ref": "kuldeepdhadhwal/basenotebook-to-begin-trends", "kernel_id": "9148481"}, {"ref": "kuldeepdhadhwal/getting-started-with-trends-neuroimaging", "kernel_id": "9119473"}, {"ref": "yasufuminakama/trends-lgb-baseline", "kernel_id": "9086191"}, {"ref": "nizamuddin/trends-neuroimaging", "kernel_id": "9703787"}, {"ref": "prashant111/trends-insights-1st-submission", "kernel_id": "9131277"}, {"ref": "speedwagon/brain-3d-plotly-visualization", "kernel_id": "9099132"}, {"ref": "akashsuper2000/svm-on-trends-neuroimaging", "kernel_id": "9205106"}, {"ref": "mawanda/trends-pytorch-loss", "kernel_id": "9451975"}, {"ref": "mawanda/load-entire-dataset-with-pytorch-api", "kernel_id": "9326066"}, {"ref": "mawanda/fmri-3d-brain-images-dynamic-drawing", "kernel_id": "9208478"}, {"ref": "chrisfilo/model-comparison", "kernel_id": "9253453"}, {"ref": "chrisfilo/evaluating-site-effects", "kernel_id": "9294104"}, {"ref": "saife245/neuroimaging-in-depth-understanding-eda-model", "kernel_id": "9203637"}, {"ref": "fatihbilgin/trends-eda-and-data-visualization", "kernel_id": "9088329"}, {"ref": "phoenix9032/trends-google-tabnet-baseline", "kernel_id": "9727845"}, {"ref": "zacktack/data-scientist-journey-neuroimaging-lgbm", "kernel_id": "9098292"}, {"ref": "mercury01/pca-base-keras-nn-nae-metric", "kernel_id": "9107495"}, {"ref": "mercury01/draw-brain-3d", "kernel_id": "9105722"}, {"ref": "mercury01/3d-cnn", "kernel_id": "9144632"}, {"ref": "roshan03/svm-model", "kernel_id": "9418259"}, {"ref": "joatom/trends-exploring-tabular-augmentation", "kernel_id": "9557135"}, {"ref": "joatom/trends-cluster-sfnc-groups", "kernel_id": "9918621"}, {"ref": "joatom/trends-tabular-nn-0-159", "kernel_id": "9871943"}, {"ref": "joatom/trends-ensemble", "kernel_id": "9831751"}, {"ref": "gunesevitan/trends-neuroimaging-data-analysis-3d-features", "kernel_id": "9360792"}, {"ref": "gunesevitan/trends-neuroimaging-linear-model-ensemble", "kernel_id": "9487101"}, {"ref": "soham1024/visualization-using-nilearn", "kernel_id": "9085403"}, {"ref": "soham1024/rapids-sgd-on-trends-neuroimaging", "kernel_id": "9505816"}, {"ref": "tanulsingh077/achieving-sota-results-with-tabnet", "kernel_id": "9938589"}, {"ref": "yushg123/auto-score-based-blending", "kernel_id": "9382712"}, {"ref": "mckersting/fmri-assessment", "kernel_id": "9891851"}, {"ref": "doubiani/gplearn-genetic-algorithm-doubiani", "kernel_id": "9554511"}, {"ref": "doubiani/neuroimaging-in-depth-understanding-eda-doubiani", "kernel_id": "9536335"}, {"ref": "doubiani/trends-pycaret-training-inference-doubiani", "kernel_id": "9414949"}, {"ref": "yanastamenova/trends-neuroimaging-first-steps", "kernel_id": "9757708"}, {"ref": "jafarib/start-from-here-trends-eda-fe-submissions", "kernel_id": "9087335"}, {"ref": "jafarib/trends-eda-fe-submission", "kernel_id": "9143347"}, {"ref": "eswarchandt/nilearn-visualizations-and-nn-baseline", "kernel_id": "9089965"}, {"ref": "kmatsuyama/simple-nn-baseline-using-keras", "kernel_id": "9106572"}, {"ref": "debasish05/prediction-from-loading-files", "kernel_id": "9703075"}, {"ref": "aryaprince/greedy-approch-toward-feature-selection", "kernel_id": "9418508"}, {"ref": "julenarizaga/trends-dataset-investigation", "kernel_id": "9575157"}, {"ref": "hemavivekanandan/trends-eda-dnn-for-predicting-age", "kernel_id": "9723475"}, {"ref": "rohitsingh9990/trends-eda-visualization-simple-baseline", "kernel_id": "9086710"}, {"ref": "rohitsingh9990/trends-pycaret-training-inference", "kernel_id": "9195712"}, {"ref": "rohitsingh9990/trends-ensemble-all-public-kernels", "kernel_id": "9921918"}, {"ref": "nxrprime/trends-pca-and-dimensionality-reduction", "kernel_id": "9316483"}, {"ref": "teju4405/neuro-imaging", "kernel_id": "9090901"}, {"ref": "dhuang718/domain-explanation-visualization-modeling", "kernel_id": "9975159"}, {"ref": "digvijayyadav/neuroimag-trends-eda-fe-submissions", "kernel_id": "9090221"}, {"ref": "digvijayyadav/nn-using-keras-with-corr", "kernel_id": "9146974"}, {"ref": "nischaydnk/beginners-trends-neuroimaging-decent-score", "kernel_id": "9089558"}, {"ref": "solyoh21/beginners-trends-neuroimaging-decent-score", "kernel_id": "9146716"}, {"ref": "yoshimasaiwano/kernel218eb3bdb8", "kernel_id": "9704624"}, {"ref": "alexanderbaranchuk/kernel6b515d0014", "kernel_id": "9669707"}, {"ref": "sameer121/adversarial-trends", "kernel_id": "9809285"}, {"ref": "broach/trends-working-with-fmri-component-maps", "kernel_id": "10066418"}, {"ref": "yassinealouini/gif-brain", "kernel_id": "10384036"}, {"ref": "tunguz/rapids-ensemble-for-trends", "kernel_id": "10421214"}, {"ref": "amit5s3/trends-eda-lightgbm", "kernel_id": "10063774"}, {"ref": "hrfhgrthdyrd/baseline-cnn-with-keras-cut-2d-picture", "kernel_id": "10234957"}, {"ref": "hrfhgrthdyrd/3d-cnn-with-keras", "kernel_id": "10217959"}, {"ref": "avirdee/fastai2-experimental-starter", "kernel_id": "10109979"}, {"ref": "benjfisk/kernel31e58d2846", "kernel_id": "10077349"}, {"ref": "iamprateek/neuroimaging-trends", "kernel_id": "10179355"}, {"ref": "salazarslytherin/trends-multi-layer-model", "kernel_id": "10402485"}, {"ref": "kpriyanshu256/trends-image-features-53-100", "kernel_id": "10048367"}, {"ref": "kpriyanshu256/trends-gcn-tab-oof", "kernel_id": "10287024"}, {"ref": "linlinlu600/rapids-svm-on-trends-neuroimaging-v3", "kernel_id": "10355281"}, {"ref": "roydatascience/bronze-medal-solution-0-15925-on-private-lb", "kernel_id": "10228154"}, {"ref": "akashsuper2000/seutao-3d-resnet18-model-with-monai-augmentation", "kernel_id": "10350035"}, {"ref": "akashsuper2000/trends-neuroimaging-2d-slice-resnet-pytorch", "kernel_id": "10350770"}, {"ref": "akashsuper2000/neuroimage-lightgbm-scikit-learn", "kernel_id": "10359601"}, {"ref": "akashsuper2000/ensemble-notebook-trends", "kernel_id": "10305836"}, {"ref": "ks2019/site-classifier-35th-place", "kernel_id": "10220440"}, {"ref": "kaerunantoka/pred-3dresnet-pytorch", "kernel_id": "10148916"}, {"ref": "ngo1013/preparation-for-stacking-by-regression-8-model", "kernel_id": "10504138"}, {"ref": "ngo1013/svr-stacking", "kernel_id": "10527313"}, {"ref": "mahmudds/neuroimaging-analysis-visualization-modeling", "kernel_id": "10380296"}, {"ref": "phoenix9032/seutao-3d-resnet34-model-image-tabular-monai", "kernel_id": "10166345"}, {"ref": "joatom/trends-fnc-steady-states", "kernel_id": "10147393"}, {"ref": "prateekagnihotri/35th-place-stacked-ensemble", "kernel_id": "10383557"}, {"ref": "tanulsingh077/exploring-limits-of-meta-features-tabnet-lb-0-77", "kernel_id": "10250312"}, {"ref": "khanalkiran/neuro-imaging", "kernel_id": "10212749"}, {"ref": "aaroha33/trends-neuroimaging-using-rapids", "kernel_id": "10262763"}, {"ref": "aaroha33/trends-neuroimaging-easy-notebook", "kernel_id": "10235756"}, {"ref": "aaroha33/trends-neuroimaging-baggingregressor-rapids", "kernel_id": "10867220"}, {"ref": "geokocha/umap-rapids", "kernel_id": "10283026"}, {"ref": "miykael/multi-loss-neural-network-for-domain2-targets", "kernel_id": "10541462"}, {"ref": "miykael/trends-exploration-of-the-targets", "kernel_id": "10411784"}, {"ref": "miykael/trends-feature-exploration-engineering", "kernel_id": "10416018"}, {"ref": "miykael/trends-data-scaling-and-modeling", "kernel_id": "10442714"}, {"ref": "anan2626/kernel795736cf36", "kernel_id": "10241206"}, {"ref": "rohitsingh9990/36th-place-trends-ensemble", "kernel_id": "10384868"}, {"ref": "runeeikeland/simple-random-forest-age-psych-and-smb-fncpca", "kernel_id": "10133777"}, {"ref": "dhuang718/lasso-fnc-and-loading-as-predictors", "kernel_id": "10130437"}, {"ref": "dhuang718/svr-linear-loading-and-fnc-submission", "kernel_id": "10170650"}, {"ref": "dhuang718/huber-loading-df-only", "kernel_id": "10026489"}, {"ref": "saisandeep3123/trends-eda-using-pandas-profiling", "kernel_id": "10097843"}, {"ref": "kasiakazimierczak/rapids-svr-umap", "kernel_id": "10299290"}, {"ref": "robertenglert/pni-features-and-models", "kernel_id": "10438181"}, {"ref": "tabithapatcha/trends-eda-visualization-simple-baseline", "kernel_id": "10667179"}, {"ref": "cpmpml/scikit-learn-svm-on-trends-neuroimaging", "kernel_id": "11787482"}, {"ref": "cpmpml/rapids-svm-on-trends-neuroimaging", "kernel_id": "11786800"}, {"ref": "c7934597/rapids-ensemble-for-trends-neuroimaging", "kernel_id": "11252654"}, {"ref": "aerdem4/trends-on-cpu", "kernel_id": "12411926"}, {"ref": "aerdem4/trends-on-gpu-via-rapids", "kernel_id": "12411058"}, {"ref": "polomarco/visualizatio-3d-nifti-dicom-matlab-nrrd-files", "kernel_id": "12748612"}, {"ref": "hemanthhari/brain-analysis-eda-j-comp", "kernel_id": "15074518"}, {"ref": "idamayer/randomforestregressor-trends-neuroimaging", "kernel_id": "17267551"}, {"ref": "deepthyrosejose/exploratory-data-analysis-of-fmri-neuroimaging", "kernel_id": "17739691"}, {"ref": "anantaasim/trends-neuroimaging-eda-and-modeling", "kernel_id": "29868096"}, {"ref": "noshintasnia/neuroimaging-in-depth-understanding-eda-model", "kernel_id": "44594616"}, {"ref": "greatinnovations/2d-3d-pix2vox-2d-von", "kernel_id": "46239202"}, {"ref": "carlosmugruza/exploratory-data-analysis-of-fmri-neuroimaging", "kernel_id": "65596163"}]}
{"competition_id": "16246", "kernels": []}
{"competition_id": "16252", "kernels": []}
{"competition_id": "16253", "kernels": [{"ref": "ahkerrigan/alec-s-solution-wip", "kernel_id": "5940142"}]}
{"competition_id": "16270", "kernels": []}
{"competition_id": "16271", "kernels": []}
{"competition_id": "16273", "kernels": []}
{"competition_id": "16276", "kernels": [{"ref": "afkar337907/admin", "kernel_id": "5956144"}, {"ref": "afkar337907/eda-data-visualization", "kernel_id": "5943690"}, {"ref": "noorellg/noorellg-day-3-final-fix-banget-pliss-terakhir", "kernel_id": "5983679"}, {"ref": "noorellg/noorellg", "kernel_id": "5955329"}, {"ref": "srarief/day-3-final-fix-banget-pliss-terakhir", "kernel_id": "5981906"}, {"ref": "srarief/day-3-template-master-3-log", "kernel_id": "5980919"}, {"ref": "ptptptp/ptptpt", "kernel_id": "5955753"}, {"ref": "ptptptp/ptptok", "kernel_id": "5973352"}, {"ref": "delisabeths/damayanti-elisabeth", "kernel_id": "5955520"}, {"ref": "delisabeths/de-day-3-final-fix-banget-pliss-terakhir", "kernel_id": "5983674"}, {"ref": "delisabeths/de-time-series-forecasting", "kernel_id": "5973314"}, {"ref": "fadzaka12/kernel42c15cf37a", "kernel_id": "5973171"}, {"ref": "fadzaka12/time-series-forecasting", "kernel_id": "5971442"}, {"ref": "broaditya/jeffry-a", "kernel_id": "5955347"}, {"ref": "rahmaputri/time-series-forecasting-rahmawati-putrianasari", "kernel_id": "5973298"}, {"ref": "rahmaputri/day-3-final-rahmawatiputrianasari", "kernel_id": "5983656"}, {"ref": "rahmaputri/eda-data-visualization-rahmawati-putrianasari", "kernel_id": "5955369"}, {"ref": "ariana12/ariana-not-grande", "kernel_id": "5955376"}, {"ref": "ariana12/time-series-forecasting-ariana-not-grande", "kernel_id": "5973392"}, {"ref": "ariana12/day-3-ariana-not-grande", "kernel_id": "5983688"}, {"ref": "amelbodor/abcde", "kernel_id": "5955191"}, {"ref": "amelbodor/abcds", "kernel_id": "5973301"}, {"ref": "feraldolim/day-2-feraldo-lim", "kernel_id": "5973289"}, {"ref": "feraldolim/day-3-feraldo-lim", "kernel_id": "5983691"}, {"ref": "feraldolim/day-1-feraldo-lim", "kernel_id": "5958057"}, {"ref": "zhorifm/zhorif-maulana-a", "kernel_id": "5955560"}, {"ref": "zhorifm/zhorif-maulana-a-2", "kernel_id": "5983699"}, {"ref": "shafirahanif/hnfshrrr", "kernel_id": "5955482"}, {"ref": "adit9898/aditadit", "kernel_id": "5955564"}, {"ref": "baidhowilukman/abcdev", "kernel_id": "5955355"}, {"ref": "baidhowilukman/day-3-final-fix-banget-pliss-terakhir-aamiin", "kernel_id": "5983675"}, {"ref": "baidhowilukman/time-series-forecasting-abc-dev", "kernel_id": "5973299"}, {"ref": "alifahrc/time-series-forecasting-alifah-r", "kernel_id": "5973317"}, {"ref": "alifahrc/alifah-r-day-3-final-fix-banget-pliss-terakhir", "kernel_id": "5983733"}, {"ref": "alifahrc/eda-alifah-r-c", "kernel_id": "5955641"}, {"ref": "herikurnia/uyeay", "kernel_id": "5955332"}, {"ref": "risdaafriyani/belajar", "kernel_id": "5955512"}, {"ref": "syarifahdianapermai/syarifahdiana", "kernel_id": "5955373"}, {"ref": "syarifahdianapermai/diana", "kernel_id": "5961924"}, {"ref": "elvitaci/vicanjo-last", "kernel_id": "5983671"}, {"ref": "elvitaci/vicanjo", "kernel_id": "5973422"}, {"ref": "elvitaci/vicanjo1st", "kernel_id": "5970299"}, {"ref": "fiftitahra/bismillah", "kernel_id": "5955962"}]}
{"competition_id": "16277", "kernels": []}
{"competition_id": "16283", "kernels": []}
{"competition_id": "16285", "kernels": [{"ref": "mjxong/kernel53b167ca6e", "kernel_id": "5953723"}, {"ref": "rmfkxhxh/kernel795754da6a", "kernel_id": "5952956"}]}
{"competition_id": "16286", "kernels": []}
{"competition_id": "16287", "kernels": []}
{"competition_id": "16294", "kernels": []}
{"competition_id": "16295", "kernels": [{"ref": "faressayah/natural-language-processing-nlp-for-beginners", "kernel_id": "6127394"}, {"ref": "amoghjrules/nlp-intro-detect-realness-of-a-tweet-tensorflow", "kernel_id": "7203006"}, {"ref": "danevans/tweet-sentiment-analysis-v2-base-score", "kernel_id": "8865948"}, {"ref": "danevans/tweet-sentiment-analysis-v2-1", "kernel_id": "8885696"}, {"ref": "abhishek/utils", "kernel_id": "8756815"}, {"ref": "abhishek/bert-inference-5-folds", "kernel_id": "8749970"}, {"ref": "abhishek/tweet-text-extraction-roberta-infer", "kernel_id": "8639132"}, {"ref": "abhishek/text-extraction-using-bert-w-sentiment-inference", "kernel_id": "8613998"}, {"ref": "abhishek/bert-base-uncased-using-pytorch", "kernel_id": "8758093"}, {"ref": "abhishek/roberta-inference-5-folds", "kernel_id": "8766704"}, {"ref": "abhishek/roberta-on-steroids-pytorch-tpu-training", "kernel_id": "8958579"}, {"ref": "abhishek/super-duper-fast-pytorch-tpu-kernel", "kernel_id": "8963730"}, {"ref": "abhishek/roberta-inference-of-tpu-model-8-folds", "kernel_id": "8967354"}, {"ref": "shash152543/eda-twitter-sentiment", "kernel_id": "8614424"}, {"ref": "kurnianto/bert-base-uncased-using-pytorch", "kernel_id": "8767618"}, {"ref": "kilseungahn/sensitivity-score-based-classification", "kernel_id": "8676129"}, {"ref": "xooca1/pytorch-lightning-tweet-sentiment-extraction", "kernel_id": "8997669"}, {"ref": "parulpandey/eda-and-preprocessing-for-bert", "kernel_id": "8555839"}, {"ref": "rahulvks/key-term-s-extraction-using-nlp", "kernel_id": "8591257"}, {"ref": "aayush29071996/start-from-here-complete-eda-baseline-sub", "kernel_id": "8856754"}, {"ref": "aerdem4/tweet-sentiment-whole-text-baseline", "kernel_id": "8573414"}, {"ref": "hisudha/twitter-sentiment-eda-v1", "kernel_id": "8834480"}, {"ref": "dadolux/tweet-sentiment-extraction-eda", "kernel_id": "8561792"}, {"ref": "enzoamp/commented-bert-base-uncased-using-pytorch", "kernel_id": "8810818"}, {"ref": "keremt/tse-transformers-q-a-with-fastai-training", "kernel_id": "8827824"}, {"ref": "keremt/tse-transformers-q-a-with-fastai-inference", "kernel_id": "8876993"}, {"ref": "geethasaikrishna/jaccard-metric-vs-n-extra-n-less-words-prediction", "kernel_id": "8807856"}, {"ref": "abirpattnaik/sentiment-analysis-eda", "kernel_id": "8671929"}, {"ref": "jagannathrk/tweet-text-extraction-roberta-infer", "kernel_id": "8649177"}, {"ref": "jagannathrk/bert-base-uncased-using-pytorch", "kernel_id": "8778107"}, {"ref": "bryanb/tweet-sentiment-extraction-eda-wordclouds", "kernel_id": "8694699"}, {"ref": "jeinsong/html-text-segment-visualization", "kernel_id": "8713083"}, {"ref": "gpreda/tweet-sentiment-extraction-eda", "kernel_id": "8702341"}, {"ref": "manjeetsingh/sentiment-analysis-a-simple-lr-model", "kernel_id": "8951822"}, {"ref": "xanthate/eda-tweet-extraction", "kernel_id": "8965287"}, {"ref": "adityaecdrid/xtra-data-a-simple-sol-using-only-word-counts", "kernel_id": "8832547"}, {"ref": "adityaecdrid/text-extraction-using-bert-w-sentiment-inference", "kernel_id": "8716770"}, {"ref": "pestipeti/simple-eda-tweet-sentiment-extraction", "kernel_id": "8551580"}, {"ref": "nicapotato/sentiment-extraction-eda", "kernel_id": "8593248"}, {"ref": "schrammsm/tweets-simple-string-manipulation", "kernel_id": "8723604"}, {"ref": "plarmuseau/fork-of-kmeans-tfidf-clusters-for-prediction", "kernel_id": "8958393"}, {"ref": "bharathyramakrishnan/kernel57027e1129", "kernel_id": "8855401"}, {"ref": "wajihullahbaig/kmeans-tfidf-clusters-for-prediction", "kernel_id": "8616841"}, {"ref": "shahules/complete-eda-baseline-model-0-708-lb", "kernel_id": "8558878"}, {"ref": "jiteshpabla/sentiment-analysis", "kernel_id": "8811249"}, {"ref": "grapestone5321/tweet-sentiment-extraction-sample-submission", "kernel_id": "8554858"}, {"ref": "maxjon/robreta-large-with-tricks", "kernel_id": "8749866"}, {"ref": "prakhar21god/pickupmysentiment", "kernel_id": "8997735"}, {"ref": "rohitmidha23/tse-starter-kernel-eda-preprocessing", "kernel_id": "8589668"}, {"ref": "dimitreoliveira/tweet-sentiment-extraction-eda-and-baseline", "kernel_id": "8552280"}, {"ref": "mohamedkhamis/bi-lstm-glove-preprocessing-lb-0-605", "kernel_id": "8621579"}, {"ref": "gomes555/ngram-predict-with-xgboost-h2o-in-r", "kernel_id": "8878080"}, {"ref": "gomes555/baseline-random-ngram-in-parallel-with-r", "kernel_id": "8795754"}, {"ref": "gomes555/baseline-full-text-get-metadata-with-tidyverse-r", "kernel_id": "8742608"}, {"ref": "sandeepshaw/kernel5955694b36", "kernel_id": "8879842"}, {"ref": "sandeepshaw/st-nlp-v1", "kernel_id": "8983229"}, {"ref": "sandeepshaw/st-nlp-4", "kernel_id": "8973013"}, {"ref": "sandeepshaw/st-nlp-9", "kernel_id": "8988645"}, {"ref": "peacemaket/tweet-sentiment-extrctn-bert-tf2-1", "kernel_id": "8824699"}, {"ref": "peacemaket/tweet-sentiment-extraction", "kernel_id": "8608216"}, {"ref": "amoghjrules/twitter-entity-recognition-using-bilstms", "kernel_id": "8878907"}, {"ref": "maheswarareddyp/twittersentimentextraction", "kernel_id": "8885023"}, {"ref": "shawon10/tweet-sentiment-eda-pre-processing-extractor", "kernel_id": "8559843"}, {"ref": "imdevskp/tweet-sentiment-extraction", "kernel_id": "8987893"}, {"ref": "rhtsingh/twitter-sentiments-text-summarization-approach", "kernel_id": "8758239"}, {"ref": "antwerp/bert-lstm-document-classification-by-flair", "kernel_id": "8587415"}, {"ref": "docxian/tweet-basic-statistics-and-sentiment-analysis", "kernel_id": "8564644"}, {"ref": "vishrutjai/kernel38136b6866", "kernel_id": "8874022"}, {"ref": "viswajithkn/tweet-sentiment-analysis", "kernel_id": "8732296"}, {"ref": "harupy/visualize-distilbert-vectors-with-t-sne", "kernel_id": "8577337"}, {"ref": "harupy/simple-eda-on-tweets-containing", "kernel_id": "8884959"}, {"ref": "harupy/should-n-be-converted-into-n-t-it", "kernel_id": "8887029"}, {"ref": "harupy/eda-on-tweets-containing-url", "kernel_id": "8889445"}, {"ref": "harupy/how-to-highlight-selected-text", "kernel_id": "8884526"}, {"ref": "itkin16/sentiment-analysis-libraries-comparison-v0-1", "kernel_id": "8583779"}, {"ref": "takamichitoda/tweet-simplebaseline", "kernel_id": "8552167"}, {"ref": "raghaw/roberta-baseline-starter-test", "kernel_id": "8705907"}, {"ref": "parmarsuraj99/bert-qna", "kernel_id": "8601629"}, {"ref": "parmarsuraj99/tweetspan", "kernel_id": "8783956"}, {"ref": "parmarsuraj99/inference-of-tweetspan", "kernel_id": "8806297"}, {"ref": "hasnain2808/sentiment-extraction-understanding-metric-eda", "kernel_id": "8846310"}, {"ref": "hasnain2808/fork-of-sentiment-extraction-understanding-metric", "kernel_id": "8938996"}, {"ref": "sishihara/tweet-sentiment-jaccard-index-of-each-train-data", "kernel_id": "8581683"}, {"ref": "sishihara/tweet-sentiment-characteristics-words-by-tfidf", "kernel_id": "8579595"}, {"ref": "ratan123/sentiment-extraction-understanding-metric-eda", "kernel_id": "8560446"}, {"ref": "cdeotte/tensorflow-roberta-0-705", "kernel_id": "8916215"}, {"ref": "cdeotte/unsupervised-text-selection", "kernel_id": "8910524"}, {"ref": "nandhuelan/bert-pytorch-starter-v2", "kernel_id": "8596027"}, {"ref": "nandhuelan/tweet-extraction-simple-approaches", "kernel_id": "8556458"}, {"ref": "khoongweihao/feature-engineering-lightgbm-model-starter-kit", "kernel_id": "8563575"}, {"ref": "sitask/tweet", "kernel_id": "8853327"}, {"ref": "doomdiskday/full-tutorial-eda-to-dnns-all-you-need", "kernel_id": "8646643"}, {"ref": "shinsei66/xlnet-baseline-v1", "kernel_id": "8733808"}, {"ref": "gskdhiman/bert-baseline-starter-kernel-ner-approach", "kernel_id": "8590234"}, {"ref": "duhongjiang/tweet-sentiment-extraction-baseline", "kernel_id": "8989928"}, {"ref": "jonykarki/kernel333bf3821a", "kernel_id": "8868309"}, {"ref": "shankarjsharat/nlp-m3-j006-j025-j045-textblob", "kernel_id": "8877984"}, {"ref": "nkoprowicz/a-simple-solution-using-only-word-counts", "kernel_id": "8618917"}, {"ref": "zzy990106/single-roberta-large", "kernel_id": "8714622"}, {"ref": "zzy990106/tweet-sentiment-extraction-baseline", "kernel_id": "8554593"}, {"ref": "secretagent99/twitter-sentiment-extraction-eda", "kernel_id": "8826392"}, {"ref": "rishabhdhiman/sentiment-analysis-distilbert-squad-q-a-tech", "kernel_id": "8955751"}, {"ref": "rishabhdhiman/roberta-base-with-tensorflow", "kernel_id": "8998105"}, {"ref": "xu1993/bert-base-with-tf2-1-mixed-precision", "kernel_id": "8941299"}, {"ref": "akashsuper2000/fun-experiment-for-tweet-sentiment-analysis", "kernel_id": "8788584"}, {"ref": "akashsuper2000/tweet-sentiment-eda-pre-processing-extractor", "kernel_id": "8789148"}, {"ref": "akashsuper2000/bert-base-with-tf2-1-mixed-precision", "kernel_id": "8876620"}, {"ref": "yutanakamura/dear-pytorch-lovers-bert-transformers-lightning", "kernel_id": "8617592"}, {"ref": "fulrose/tweet-sentiment-extraction-simple-eda", "kernel_id": "8560367"}, {"ref": "goldenoctopus/tweetsentimentextractionplayground", "kernel_id": "8755754"}, {"ref": "parthplc/starter-code-for-bert", "kernel_id": "8582205"}, {"ref": "gaya33/nlp-m3-j007-j031-j046", "kernel_id": "8877635"}, {"ref": "gangakrish/keyword-extraction-from-tweets", "kernel_id": "8955340"}, {"ref": "sakshigehani/nlp-m3-j015-j037-j047", "kernel_id": "8893678"}, {"ref": "aadiharan99/nlpm3-j008-j014", "kernel_id": "8876922"}, {"ref": "harshg16/nlp-m3-j016-j017-final", "kernel_id": "8877951"}, {"ref": "nrutyad/j013-j021-j040", "kernel_id": "8878562"}, {"ref": "sidhsatam/j022-j042-j060", "kernel_id": "8875271"}, {"ref": "saurabh1999/j034-j059-nlp-m3", "kernel_id": "8869454"}, {"ref": "visheshtechie/sentiment-intensity-analyzer-nlp-m3-j018-32-33", "kernel_id": "8874432"}, {"ref": "hrithikashukla/nlp-m3-j043-j049-j050", "kernel_id": "8877287"}, {"ref": "jenil1237/tweet-sentiment-extraction-j061-j057", "kernel_id": "8864464"}, {"ref": "mangy007/data-exploration", "kernel_id": "8815471"}, {"ref": "bpkapkar/sentiment-extraction", "kernel_id": "8801108"}, {"ref": "akensert/tweet-bert-base-with-tf2-1-mixed-precision", "kernel_id": "8683551"}, {"ref": "dhananjay3/investigating-html", "kernel_id": "8733528"}, {"ref": "jmourad100/tweet-sentiment-extraction-baseline", "kernel_id": "8551335"}, {"ref": "samarthsarin/vader-sentiment-analysis-using-nltk", "kernel_id": "8610476"}, {"ref": "debanga/auto-hugging-face-to-the-rescue", "kernel_id": "8986917"}, {"ref": "debanga/huggingface-tokenizers-cheat-sheet", "kernel_id": "8827187"}, {"ref": "aryanshukla/kernel6325064838", "kernel_id": "8875117"}, {"ref": "avyactjain1/nlp-m3-j005-j019-j020", "kernel_id": "8873292"}, {"ref": "riddhimehta1409/final-code", "kernel_id": "8879721"}, {"ref": "jonathanbesomi/0-573-lb-score-in-10-lines-of-code", "kernel_id": "8617858"}, {"ref": "jonathanbesomi/question-answering-starter-pack", "kernel_id": "8638246"}, {"ref": "ramdayal51/nlp-m3-j039-j041", "kernel_id": "8875593"}, {"ref": "shihono/convert-iob-format-with-nltk", "kernel_id": "8902075"}, {"ref": "khulapkosv/baseline-sentiment", "kernel_id": "8577276"}, {"ref": "wilk258/tweeteda-good-and-bad-comment", "kernel_id": "8614607"}, {"ref": "vaishvik25/albert-train-infer", "kernel_id": "8572383"}, {"ref": "nzhongahtan/3-tweet-sentiment-extraction", "kernel_id": "8714209"}, {"ref": "himanshusaini/eda-pre-processing-tweet-sentiment-extraction", "kernel_id": "8645989"}, {"ref": "bendigallardo/kernel70fedbd463", "kernel_id": "8690096"}, {"ref": "anirbansen3027/tweet-sentiment-extraction-eda-beginner", "kernel_id": "8989759"}, {"ref": "tanulsingh077/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "8556989"}, {"ref": "khanalkiran/tweet-sentiment-extraction-kk1", "kernel_id": "8605919"}, {"ref": "sagarkolte/twsenext", "kernel_id": "8888328"}, {"ref": "aaryanjethva77/code-lad", "kernel_id": "8873836"}, {"ref": "ajinomoto132/starter-kernel-in-pytorch", "kernel_id": "8753638"}, {"ref": "manastokale/m3-nlp-ipynb", "kernel_id": "8879758"}, {"ref": "manastokale/kernel16c154bb62", "kernel_id": "8879918"}, {"ref": "vaibhavsxn/sentiment-classification", "kernel_id": "8553219"}, {"ref": "phearos/start-from-here-complete-eda-baseline-sub", "kernel_id": "8857082"}, {"ref": "phearos/question-answering-starter-pack", "kernel_id": "8857085"}, {"ref": "akshitsharma206/tweet-sentiment-extraction-starter-code-eda", "kernel_id": "8999688"}, {"ref": "satyamsanu/tweet-sentiment-analysis-eda", "kernel_id": "8724752"}, {"ref": "akshat0007/tweet-sentiment-analysis", "kernel_id": "8927026"}, {"ref": "skraiii/tweet-sentiment-adversarial-validation-use-lgbm", "kernel_id": "8667676"}, {"ref": "cheongwoongkang/distilbert-qa-starter-cross-validation", "kernel_id": "8749069"}, {"ref": "cheongwoongkang/roberta-baseline-starter-simple-postprocessing", "kernel_id": "8608169"}, {"ref": "cheongwoongkang/distilbert-qa-lm-finetuning", "kernel_id": "8891776"}, {"ref": "stoicstatic/twitter-sentiment-analysis-for-beginners", "kernel_id": "8666108"}, {"ref": "aaroha33/tweet-sentiment-visualization-and-evaluation", "kernel_id": "8844725"}, {"ref": "bunnyyy/distillbert-for-sentiment-analysis", "kernel_id": "8753451"}, {"ref": "bunnyyy/bert-example-of-q-a-from-chris-mccormick-blog", "kernel_id": "8629587"}, {"ref": "lain0431/simple-eda", "kernel_id": "8581191"}, {"ref": "eswarchandt/eda-sentiment-extraction-preprocessing", "kernel_id": "8564239"}, {"ref": "eswarchandt/eda-pos-neg-neutral-classification", "kernel_id": "8570906"}, {"ref": "sagaramu/tweets-eda-and-preprocessing", "kernel_id": "8583098"}, {"ref": "ebelll/kernel33f8ac4738", "kernel_id": "8813311"}, {"ref": "eliasgreen/fast-ai-language-model-classification", "kernel_id": "8808255"}, {"ref": "rajaram1988/ignored-stop-words-using-only-word-counts", "kernel_id": "8802347"}, {"ref": "vaishnavkapil/kapil-vaishnav", "kernel_id": "8636475"}, {"ref": "ayushtyagi10/tweet-sentiment-predictions", "kernel_id": "8964303"}, {"ref": "moneebarifbbs/kernel60f9794a29", "kernel_id": "8673253"}, {"ref": "datatattle/nlp-eda-bag-of-words-tf-idf-baseline-model", "kernel_id": "8744072"}, {"ref": "nelepie/v1-nltk", "kernel_id": "8963586"}, {"ref": "drhouse3/norm-mltsmpldrp", "kernel_id": "8964894"}, {"ref": "drhouse3/robertaonsteroids-finetuning", "kernel_id": "8888493"}, {"ref": "adarshsng/tweet-sentiment-extraction-analysis", "kernel_id": "8556557"}, {"ref": "rohitsingh9990/unsupervised-text-selection-pytorch-version", "kernel_id": "8922432"}, {"ref": "rohitsingh9990/tweetsentimentextraction-eda-fe-simplebaseline", "kernel_id": "8566291"}, {"ref": "rohitsingh9990/ner-inference-using-spacy-lb-0-628", "kernel_id": "8574083"}, {"ref": "rohitsingh9990/bert-training-with-sentiment-lb-0-636", "kernel_id": "8652102"}, {"ref": "rohitsingh9990/ner-training-using-spacy-ensemble", "kernel_id": "8611216"}, {"ref": "sofieneressifi/twitter-sentiment-extraction-eda-and-modeling", "kernel_id": "8704340"}, {"ref": "irfanmansuri/senti-ana-ext", "kernel_id": "8696498"}, {"ref": "zeeshanarif53/a-method-using-sentimentintensityanalyzer", "kernel_id": "8667781"}, {"ref": "narenrathore/kernela2cd255601", "kernel_id": "8564249"}, {"ref": "falak01/brocoder001", "kernel_id": "8910479"}, {"ref": "sahanandrii/first-tf", "kernel_id": "8945749"}, {"ref": "cairo43227/tweet-sentiment-with-roberta-and-tensorflow-2", "kernel_id": "9288832"}, {"ref": "kuberiitb/first-submission", "kernel_id": "9148164"}, {"ref": "vish2win/sentiment-phrase-extraction", "kernel_id": "9165855"}, {"ref": "yassinealouini/roberta-meets-tpus", "kernel_id": "9084365"}, {"ref": "yassinealouini/shifterator-vs-wordcloud", "kernel_id": "9672014"}, {"ref": "swapnilpote/twitter-sentiment-analysis-naive-bayes", "kernel_id": "9592480"}, {"ref": "drack3800/v0-0-5-bertweet", "kernel_id": "9672983"}, {"ref": "ivanl1/training-spacy-ner-with-early-stopping", "kernel_id": "9614294"}, {"ref": "casals90/data-cleaning-and-eda", "kernel_id": "9492860"}, {"ref": "viiids/dnn-v1", "kernel_id": "9698554"}, {"ref": "ragia11/kernel1c584e9e1e", "kernel_id": "9462288"}, {"ref": "meetashok/tweet-sentiment-extraction", "kernel_id": "9070204"}, {"ref": "aagundez/roberta-pytorch-pre-trained-models", "kernel_id": "9788612"}, {"ref": "laevatein/tweat-the-loss-function-a-bit", "kernel_id": "9226636"}, {"ref": "enzoamp/commented-roberta-training-with-pytorch", "kernel_id": "9004961"}, {"ref": "enzoamp/t5-q-a-inference-5-epochs-pytorch", "kernel_id": "9333158"}, {"ref": "enzoamp/t5-for-q-a-training-tutorial-pytorch", "kernel_id": "9619331"}, {"ref": "rajgupt/twitter-sentiment-model-1", "kernel_id": "9251329"}, {"ref": "sml0820/commented-roberta-training-with-pytorch", "kernel_id": "9070253"}, {"ref": "rahulpaul/kernel4f107e6847", "kernel_id": "9787415"}, {"ref": "eugeniematveeva/rnn-baseline-model", "kernel_id": "9397259"}, {"ref": "uranium235/tweet-sentiment-extraction", "kernel_id": "9534736"}, {"ref": "seesee/faster-2x-tf-roberta", "kernel_id": "9390988"}, {"ref": "nitishraj/twitter-sentiment-extraction", "kernel_id": "9391910"}, {"ref": "ankigupt/keyword-for-sentiment-analysis", "kernel_id": "9572215"}, {"ref": "prabanch/tweet-sentiment-extraction", "kernel_id": "9004878"}, {"ref": "prabanch/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "9738113"}, {"ref": "jeinsong/distance-loss", "kernel_id": "9247244"}, {"ref": "savanmorya/pure-pythonic-way-no-lstms-no-bert", "kernel_id": "9049670"}, {"ref": "mks2192/tweet-sentiment-extraction-data-agumentation", "kernel_id": "9482720"}, {"ref": "mks2192/tse-model-agnostic-ensemble", "kernel_id": "9658070"}, {"ref": "simonta/tensorflow-roberta-one-model-per-sentiment", "kernel_id": "9873544"}, {"ref": "siriuscorp/custom-ner-approach", "kernel_id": "9473054"}, {"ref": "volody/tse-roberta-v3", "kernel_id": "9769815"}, {"ref": "kishor1210/tensorflow-roberta-prediction", "kernel_id": "9438085"}, {"ref": "kishor1210/tse2020-roberta-cnn-random-seed-distribution", "kernel_id": "9659519"}, {"ref": "kishor1210/tse2020-roberta-with-cnn-head", "kernel_id": "9892190"}, {"ref": "ishivinal/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "9951194"}, {"ref": "anu0012/getting-started-textblob", "kernel_id": "9972698"}, {"ref": "nikhilroxtomar/simple-gru-with-pre-trained-embeddings", "kernel_id": "9496126"}, {"ref": "mahsaseifikar/tweet-sentiment-analysis", "kernel_id": "9473441"}, {"ref": "ryches/alternate-span-selection-dynamic-padding-apex", "kernel_id": "9695811"}, {"ref": "cascadinglight/electra-fastai-span-extraction", "kernel_id": "9982872"}, {"ref": "lilsummer877/gbm-shap-lime-to-extract-selected-text", "kernel_id": "9692186"}, {"ref": "rsmits/tensorflow-roberta-qa-model", "kernel_id": "9890219"}, {"ref": "mohannksr/tensorflow-roberta-cnn-head-lb-v2", "kernel_id": "9132915"}, {"ref": "iamprateek/sentiment-analysis-using-roberta", "kernel_id": "9567617"}, {"ref": "bharatsingh213/tweet-analysis", "kernel_id": "9533350"}, {"ref": "datasmnt/need-some-spacy", "kernel_id": "9824751"}, {"ref": "maldor1/kernel228ce1051c", "kernel_id": "9272585"}, {"ref": "adityakpranav/kernel-tweet-sentiment-extraction-3519", "kernel_id": "9258765"}, {"ref": "pavneettiwana/kernel2e4fd90a7c", "kernel_id": "9737361"}, {"ref": "pavneettiwana/kernel51be110773", "kernel_id": "9857704"}, {"ref": "abhi3ichigo/tweet-first-try", "kernel_id": "9914650"}, {"ref": "sarthak97/tse-eda-roberta-using-tf-lb-0-705", "kernel_id": "9224565"}, {"ref": "ranamahmud/tweet-sentiment-extraction-sentiment-analysis-in-r", "kernel_id": "9132720"}, {"ref": "hoverpan/kernel43d6b454b3", "kernel_id": "9850433"}, {"ref": "rftexas/roberta-with-tensorflow-on-tpu", "kernel_id": "9196412"}, {"ref": "rftexas/nlp-cheatsheet-master-nlp", "kernel_id": "9347010"}, {"ref": "garbamoussa/tweet-sentiment-extraction-0-594", "kernel_id": "9697618"}, {"ref": "taohoang/tensorflow-roberta", "kernel_id": "9799749"}, {"ref": "taohoang/lstm-tweet-model", "kernel_id": "9433343"}, {"ref": "taohoang/first-tweet-model", "kernel_id": "9358372"}, {"ref": "taohoang/tweetblob", "kernel_id": "9545100"}, {"ref": "taohoang/tweet-eda", "kernel_id": "9242318"}, {"ref": "tarunpaparaju/twitter-challenge-roberta-sentiment-predictor", "kernel_id": "9429032"}, {"ref": "nanto88/albert-base-pytorch", "kernel_id": "9218971"}, {"ref": "iammoreno/eda-text-clustering", "kernel_id": "9559865"}, {"ref": "mzjmzj/simple-eda-word-frequencies", "kernel_id": "9728946"}, {"ref": "vpkprasanna/text-analysis-eda-wordcloud-ngram", "kernel_id": "9890623"}, {"ref": "ab971631/tweet-sentiment-roberta-pytorch", "kernel_id": "9951532"}, {"ref": "ravve7/sentiment-analysis", "kernel_id": "9786825"}, {"ref": "sunnyville01/tensorflow-roberta-0-705", "kernel_id": "9835705"}, {"ref": "abhiex7/tweet-sentiment-extraction-roberta-base", "kernel_id": "9951020"}, {"ref": "vigneshmj1997/kernel2cacc44734", "kernel_id": "9382073"}, {"ref": "rajoriyas/tweet-sentiment-analysis", "kernel_id": "9563008"}, {"ref": "kennethrithvik/tweet-sentiment-key-sub-text-extraction", "kernel_id": "9659252"}, {"ref": "linjustin/pytorch-lightning-distilbert", "kernel_id": "9192910"}, {"ref": "saikalyan9981/roberta-multi-task-learning-ner-span-extraction", "kernel_id": "9971296"}, {"ref": "suicaokhoailang/final-sub-tweet", "kernel_id": "9983179"}, {"ref": "jetnew/fastai-nlp-bois", "kernel_id": "9932236"}, {"ref": "freddieb123/sentiment-classification-distilbert-beginner", "kernel_id": "9082170"}, {"ref": "rohitgr/roberta-with-pytorch-lightning-train-test-lb-0-710", "kernel_id": "9307690"}, {"ref": "jesusv/kernel7e5289cf60", "kernel_id": "9943580"}, {"ref": "koza4ukdmitrij/postprocess-start-end-case", "kernel_id": "9861705"}, {"ref": "koza4ukdmitrij/jaccard-expectation-loss", "kernel_id": "9756552"}, {"ref": "marcogorelli/inference-tweet-sentiment-roberta-pytorch", "kernel_id": "9993582"}, {"ref": "cseamaoo/albert-large-300", "kernel_id": "9045652"}, {"ref": "julianfortune/kernel6d5bb08f46", "kernel_id": "9924099"}, {"ref": "nandhuelan/bertweet-first-look", "kernel_id": "9649322"}, {"ref": "nandhuelan/attention-kagglers", "kernel_id": "9951105"}, {"ref": "khoongweihao/tse2020-roberta-cnn-random-seed-distribution", "kernel_id": "9580983"}, {"ref": "salmacmpeg/kernel-attention-with-convolution", "kernel_id": "9538677"}, {"ref": "vbmokin/tse2020-roberta-0-7175-prlb-outlier-analysis", "kernel_id": "9821455"}, {"ref": "jeevithadata/sentiment-analysis-for-tweets", "kernel_id": "9583788"}, {"ref": "haoxliu/ner-with-spacy", "kernel_id": "9426751"}, {"ref": "imransait/understanding-bert-tokenizers-starters", "kernel_id": "9751000"}, {"ref": "jonykarki/pseudo-labeled-data", "kernel_id": "9835468"}, {"ref": "takanobu0210/twitter-sentiment-eda-using-nlplot", "kernel_id": "9526299"}, {"ref": "bingxian/tweet-eda", "kernel_id": "9564728"}, {"ref": "zzy990106/truncate-errors", "kernel_id": "9862593"}, {"ref": "mightyrains/tweet-kidberta-let-s-learn-from-scratch", "kernel_id": "9837691"}, {"ref": "des137/tf-idf-based-approach", "kernel_id": "9764539"}, {"ref": "des137/roberta-inference-5-folds", "kernel_id": "9856200"}, {"ref": "ravijoe/beginner-s-guide-to-keras-embeddings", "kernel_id": "9398872"}, {"ref": "ravijoe/playing-with-word2vec-and-fasttext-embeddings", "kernel_id": "9176414"}, {"ref": "akashsuper2000/tensorflow-roberta", "kernel_id": "9059821"}, {"ref": "akashsuper2000/tensorflow-roberta-0-705", "kernel_id": "9239758"}, {"ref": "akashsuper2000/tweet-sentiment-roberta-pytorch", "kernel_id": "9629301"}, {"ref": "akashsuper2000/tf-roberta-cnn-head", "kernel_id": "9671064"}, {"ref": "akashsuper2000/tweet-sentiment-file-submission-kernel", "kernel_id": "9651541"}, {"ref": "akashsuper2000/tse2020-roberta-cnn-outlier-analysis", "kernel_id": "9891351"}, {"ref": "c97grosh/tweet-extraction-starter", "kernel_id": "9331190"}, {"ref": "parthplc/t5-fine-tuning-tutorial", "kernel_id": "9600100"}, {"ref": "kunduruanil/spacy-ner-model", "kernel_id": "9820306"}, {"ref": "gopidurgaprasad/tweet-roberta-pytorch-tpu", "kernel_id": "9785961"}, {"ref": "gopidurgaprasad/tweet-xlm-roberta-3fold-tpu", "kernel_id": "9622211"}, {"ref": "gopidurgaprasad/tweet-xml-roberta-base-inf", "kernel_id": "9631062"}, {"ref": "vikasvikkie/roberta-base-cnn-using-pytorch", "kernel_id": "9996024"}, {"ref": "elvictor/training-with-roberta-pretrained", "kernel_id": "9497304"}, {"ref": "deepakd14/eda-text-extraction-using-roberta", "kernel_id": "9975862"}, {"ref": "memegha22/twitter-sentiment-analysis-eda", "kernel_id": "9263185"}, {"ref": "darshanpatel11/fine-tuning-roberta", "kernel_id": "9989397"}, {"ref": "darshanpatel11/inference-code", "kernel_id": "9989117"}, {"ref": "darshanpatel11/inference-code-cnn", "kernel_id": "9997950"}, {"ref": "ameysharma/twitter-sentiment-prediction", "kernel_id": "9575178"}, {"ref": "tighu94/tensorflow-roberta-0-705", "kernel_id": "9251419"}, {"ref": "debanga/what-the-no-ise", "kernel_id": "9139926"}, {"ref": "davelo12/bertweet", "kernel_id": "9718973"}, {"ref": "pawan2905/twitter-extraction-with-eda-and-model", "kernel_id": "9213675"}, {"ref": "laluwalke/kernel571326273e", "kernel_id": "9578325"}, {"ref": "jonathanbesomi/private-test-not-that-private-afterall", "kernel_id": "9064864"}, {"ref": "dougtrajano/tweet-sentiment-extraction", "kernel_id": "9178961"}, {"ref": "anshu1man/tweet-sentiment-extraction-tryout", "kernel_id": "9283489"}, {"ref": "jarvispandey/bert-implementation", "kernel_id": "9469276"}, {"ref": "jarvispandey/kernel41bc745ce1", "kernel_id": "9591576"}, {"ref": "myh0307/keyword-using-roberta", "kernel_id": "9766682"}, {"ref": "neomatrix369/tse2020-roberta-cnn-rnd-seed-dist-tpu", "kernel_id": "9965359"}, {"ref": "neomatrix369/tse2020-bertweet-tpu-1-2", "kernel_id": "9967203"}, {"ref": "neomatrix369/tse2020-roberta-pytorch-multi-tpu-10-skfd-1-2", "kernel_id": "9967810"}, {"ref": "ashoksrinivas/roberta-with-iii-conv-layers", "kernel_id": "9874849"}, {"ref": "mtaczynski/tweet-sentiment-extraction", "kernel_id": "9394428"}, {"ref": "omegaji/simple-easypeasy-distilbert-qa-d", "kernel_id": "9020020"}, {"ref": "omegaji/distilbert-updated-score", "kernel_id": "9049702"}, {"ref": "cengc13/tf-roberta-single-run", "kernel_id": "9678093"}, {"ref": "pjt222/approach-using-edges-and-tf", "kernel_id": "9020995"}, {"ref": "born1114/tweet-sentiment-extraction-wenbo-cao", "kernel_id": "9290409"}, {"ref": "peterye/roberta-qa-baseline", "kernel_id": "9717411"}, {"ref": "rimzakhama/tweet-sentiment-extraction-validation", "kernel_id": "9366084"}, {"ref": "tcrammond/sentiment-phrases-eda-and-beginner-s-bert-model", "kernel_id": "9368307"}, {"ref": "sasharadeckiy/tse2020-outlier-analysis", "kernel_id": "9853905"}, {"ref": "pplrayang/kernel1d32063459", "kernel_id": "9834169"}, {"ref": "gragoganes/catboost-for-sentiment-prediction", "kernel_id": "9678294"}, {"ref": "ruchith696/albert", "kernel_id": "9889012"}, {"ref": "ajax0564/with-processing", "kernel_id": "9850287"}, {"ref": "kstatistics/test-submission", "kernel_id": "9758230"}, {"ref": "umang123456789/kernel1f84705d35", "kernel_id": "9755102"}, {"ref": "yassinehamdaoui1/tweet-sentiment-insight-eda", "kernel_id": "9536886"}, {"ref": "alexskrn/word-selector", "kernel_id": "9130580"}, {"ref": "alexskrn/simple-nn", "kernel_id": "9099708"}, {"ref": "alexskrn/random-forest-clf", "kernel_id": "9094819"}, {"ref": "mmthant03/kernel6381e87012", "kernel_id": "9431980"}, {"ref": "maya01/twitter-sentiment-extraction-using-spacy-ner", "kernel_id": "9360288"}, {"ref": "zerowith/tweet-sentiment-extraction", "kernel_id": "9878908"}, {"ref": "gontcharovd/split-pytorch-model-into-embedder-and-classifier", "kernel_id": "9886881"}, {"ref": "navesharma9/question-answer-distilbert", "kernel_id": "9184119"}, {"ref": "souravkgoyal/tweet-extraction-eda-simple-transformer-squad", "kernel_id": "9888662"}, {"ref": "kihunkim/first-nlp-analysis", "kernel_id": "9729739"}, {"ref": "bossdk/tweet-sentiment-extraction", "kernel_id": "9041032"}, {"ref": "lomen0857/robert", "kernel_id": "9444591"}, {"ref": "koushiksahu/question-answering-roberta-for-absolute-beginners", "kernel_id": "9569342"}, {"ref": "koushiksahu/roberta-extremely-verbosed-for-beginners", "kernel_id": "9642287"}, {"ref": "shubham9455999082/tweet-sentiment-extraction", "kernel_id": "9606518"}, {"ref": "xiu0714/silly-model", "kernel_id": "9607257"}, {"ref": "charan24/script-text-extraction-using-spacy", "kernel_id": "9731202"}, {"ref": "charan24/text-extraction-using-spacy", "kernel_id": "9682397"}, {"ref": "yashgoyal401/eda-with-ngrams", "kernel_id": "9149466"}, {"ref": "celestial233/bert-baseline233", "kernel_id": "9042551"}, {"ref": "vinaybhupalam/cycliclearningrate", "kernel_id": "9221679"}, {"ref": "josealways123/bertweet-from-colab-2", "kernel_id": "9794322"}, {"ref": "josealways123/bertweet-from-colab", "kernel_id": "9774437"}, {"ref": "josealways123/roberta-base", "kernel_id": "9957629"}, {"ref": "vishnukanduri/tweet-sentiment-extraction-with-tensorflow-roberta", "kernel_id": "9037877"}, {"ref": "louise2001/a-beginner-bag-of-words-approach-nltk", "kernel_id": "9282927"}, {"ref": "louise2001/roberta-cnn-data-augmentation", "kernel_id": "9710337"}, {"ref": "darkdebo/nlptask", "kernel_id": "9906090"}, {"ref": "ajaykumar7778/kernel7d2b239d26", "kernel_id": "9213607"}, {"ref": "ajaykumar7778/fast-ai-language-model-classification", "kernel_id": "9212863"}, {"ref": "ajaykumar7778/super-duper-fast-pytorch-tpu-kernel-d5b3ae", "kernel_id": "9399241"}, {"ref": "ajaykumar7778/tweet-sentiment-roberta-pytorch-2e376b", "kernel_id": "9947029"}, {"ref": "cwthompson/twitter-sentiment-main-model", "kernel_id": "9931553"}, {"ref": "cwthompson/twitter-sentiment-sentiment-mappings", "kernel_id": "9969870"}, {"ref": "anandsubbu007/robert-model-beginners", "kernel_id": "9042195"}, {"ref": "anandsubbu007/robert-model-beginners-nlp", "kernel_id": "9044749"}, {"ref": "akskshay007/sentiment-analysis", "kernel_id": "9803300"}, {"ref": "deskchairlamp/kernel372e24860a", "kernel_id": "9390656"}, {"ref": "harshcasper/exploratory-data-analysis-on-twitter-sentiment", "kernel_id": "9885032"}, {"ref": "hamiddd/first-test", "kernel_id": "9502935"}, {"ref": "somesh24/twitter-sentiment-analysis", "kernel_id": "9102651"}, {"ref": "rajratnpranesh/roberta-kim-cnn", "kernel_id": "9191580"}, {"ref": "garyongguanjie/error-analysis", "kernel_id": "9672659"}, {"ref": "garyongguanjie/roberta-error-analysis", "kernel_id": "9681684"}, {"ref": "meenakshiramaswamy/tweet-sentiment-roberta-tpu-inference", "kernel_id": "9994456"}, {"ref": "misakrug/kernel279a586412", "kernel_id": "9118844"}, {"ref": "ruichunzhang/kernel8a4cda216e", "kernel_id": "9530035"}, {"ref": "pyabdel/ner-model", "kernel_id": "9134959"}, {"ref": "mehdimabrouki/neutral-data-exploration-tweet", "kernel_id": "9955031"}, {"ref": "gyanendradas/tweet-sentiment-roberta-pytorch-pseudo-label", "kernel_id": "9627565"}, {"ref": "svadivazhagu/tf-bert-sentiment", "kernel_id": "9418734"}, {"ref": "adarshsng/tensorflow-roberta-cnn-head-lb-no-stop-word", "kernel_id": "9399402"}, {"ref": "rohitsingh9990/data-augmentation-by-synonym-replacement", "kernel_id": "9878200"}, {"ref": "ziedbaklouti/bow-logistic-regression-sklearn", "kernel_id": "9310326"}, {"ref": "gvsnikhilreddy/nlp-eda", "kernel_id": "9503067"}, {"ref": "swapnilagashe/tweet-sentiment-extraction-spacy-custom-ner-model", "kernel_id": "9872886"}, {"ref": "jvpasp/tweet-sentiment-extraction", "kernel_id": "9086092"}, {"ref": "avali21/tweet-bert", "kernel_id": "9407115"}, {"ref": "saimanojakondi/roberta-0-713", "kernel_id": "9633362"}, {"ref": "aman2000jaiswal/kernel4a949e9d46", "kernel_id": "9648411"}, {"ref": "agengsetyatutuko/tweet-sent-0-710-final", "kernel_id": "9350582"}, {"ref": "mdmashurshalehin/tweet-sentiment-insight-eda", "kernel_id": "9519189"}, {"ref": "nikkks/kernela1b6ed8538", "kernel_id": "9647967"}, {"ref": "ethernext/experimenting-with-sentiment-analysis", "kernel_id": "9242804"}, {"ref": "paperbaek/just-sentiment", "kernel_id": "9209471"}, {"ref": "victoruwaje/kernel14918c4b77", "kernel_id": "9378896"}, {"ref": "krishrana/kernel690c73997b", "kernel_id": "9241529"}, {"ref": "divya1gupta/text-mining-n-extraction-of-sentiment-phrase", "kernel_id": "9506877"}, {"ref": "vrro620/tweet-sentiment", "kernel_id": "9248538"}, {"ref": "sougata94/tensorflow-roberta-training", "kernel_id": "9816197"}, {"ref": "mukesh1171/kernel1b6a98ac20", "kernel_id": "9734901"}, {"ref": "rahulsattar/eda-and-ner-model", "kernel_id": "9511574"}, {"ref": "carlochen/kernel7017b41a78", "kernel_id": "9482899"}, {"ref": "carlochen/submission-notebook", "kernel_id": "9444482"}, {"ref": "heng98/twitter-sentiment-extraction-2", "kernel_id": "9523566"}, {"ref": "sajalgoyal/tensorflow-roberta-cnn-head-lb-v2", "kernel_id": "9226845"}, {"ref": "sajalgoyal/nlp-0-715", "kernel_id": "9675118"}, {"ref": "singhuday/tensorflow-for-sentiment-analysis", "kernel_id": "9931562"}, {"ref": "singhuday/first-submission-using-roberta-cnn", "kernel_id": "9928143"}, {"ref": "adithyansukumar/tweet-sentiment-bilstm", "kernel_id": "9846372"}, {"ref": "adithyansukumar/kernel39151b8ca7", "kernel_id": "9802164"}, {"ref": "josefelixramos/frankoceanfanclub", "kernel_id": "9944110"}, {"ref": "slavaz/spacy-ner-ensemble", "kernel_id": "9193615"}, {"ref": "tanyadayanand/tweet-sentiment-extraction-ner", "kernel_id": "9920472"}, {"ref": "anil4274/sentimental-analysis", "kernel_id": "9778477"}, {"ref": "technikimobo/word-cloud", "kernel_id": "9627012"}, {"ref": "subhashinimariappan/titanic-exploration", "kernel_id": "9110919"}, {"ref": "adioadebambotoheeb/tse-pytorch", "kernel_id": "9613061"}, {"ref": "nandankr/kerneld8dbf30141", "kernel_id": "9546638"}, {"ref": "rahulkumarpatro/mnist-digit-classification-using-pytorch", "kernel_id": "9221489"}, {"ref": "gyanaluckydas/w-o-neutral", "kernel_id": "9472698"}, {"ref": "gyanaluckydas/r-cleaning", "kernel_id": "9471941"}, {"ref": "gyanaluckydas/kernel768b78ae78", "kernel_id": "9475866"}, {"ref": "sunidhisingh/sentiment-analysis", "kernel_id": "9782328"}, {"ref": "jihunlorenzopark/pretrain-with-another-twitter-dataset", "kernel_id": "9074104"}, {"ref": "shubhamkumaragrawal/sentiment-analysis", "kernel_id": "9781838"}, {"ref": "freddyyj/roberta-text-selection", "kernel_id": "9883794"}, {"ref": "freddyyj/roberta-competition", "kernel_id": "9909779"}, {"ref": "freddyyj/tensorflow-roberta-compet", "kernel_id": "9966497"}, {"ref": "freddyyj/kernel64bcc79a79", "kernel_id": "9543420"}, {"ref": "freddyyj/bert-practice", "kernel_id": "9579411"}, {"ref": "mohammaddanisshaikh/tweet-sentimate-prediction", "kernel_id": "9416553"}, {"ref": "ChristianDenich/vocab-comparison-competition-walkthrough", "kernel_id": "9529044"}, {"ref": "schreiro/sch-ui", "kernel_id": "9675235"}, {"ref": "myho63/testing", "kernel_id": "9978176"}, {"ref": "michaelcicala/version-1", "kernel_id": "9978171"}, {"ref": "yashsharma9897/tensorflow-roberta-cnn-head-lb-v2", "kernel_id": "9345967"}, {"ref": "zhf520/kernel1cd6b6ab1a", "kernel_id": "9527208"}, {"ref": "ccw530/tensorflow-roberta", "kernel_id": "9493569"}, {"ref": "anasofiauzsoy/tweet-sentiment-extraction-1", "kernel_id": "9555190"}, {"ref": "anasofiauzsoy/tweet-sentiment-extraction-with-tf2-spanbert", "kernel_id": "9757535"}, {"ref": "xsslin/trybert1", "kernel_id": "9655741"}, {"ref": "pranaydate/latest", "kernel_id": "9829213"}, {"ref": "pranaydate/kernel4f66ef8f56", "kernel_id": "9565598"}, {"ref": "ramahanishagunda/kernel1d740b52f7", "kernel_id": "9632615"}, {"ref": "ramahanishagunda/kernel7926b3924d", "kernel_id": "9715821"}, {"ref": "ramahanishagunda/text-extraction-using-bert-w-sentiment-inference", "kernel_id": "9828718"}, {"ref": "ramahanishagunda/roberta-analysis", "kernel_id": "9951644"}, {"ref": "senritu/bert-pytorch-starter-v2", "kernel_id": "9951784"}, {"ref": "senritu/kernel430e151028", "kernel_id": "9822617"}, {"ref": "senritu/sentimental-analysis", "kernel_id": "9823198"}, {"ref": "senritu/twitter-sentiment-extaction-eda-and-model", "kernel_id": "9840101"}, {"ref": "senritu/text-extraction", "kernel_id": "9838715"}, {"ref": "senritu/kernel5c3ecbb16e", "kernel_id": "9814360"}, {"ref": "tonyjchen/group8", "kernel_id": "9894272"}, {"ref": "tonyjchen/group-8-refined-work", "kernel_id": "9960989"}, {"ref": "animeshnareda/tweet-sentiment-analysis", "kernel_id": "9815030"}, {"ref": "animeshnareda/submission", "kernel_id": "9815135"}, {"ref": "animeshnareda/tweet-sentimental-analysis", "kernel_id": "9815080"}, {"ref": "isaacpeters/messing-around-with-word-embeddings", "kernel_id": "9917609"}, {"ref": "jeffster/group8", "kernel_id": "9938880"}, {"ref": "chandrimad31/tweet-sentiment-extraction-using-roberta-5-fold", "kernel_id": "9987637"}, {"ref": "kimjinhyeon/kernel359407d2c8", "kernel_id": "9906843"}, {"ref": "ulisesz/rf-w-subset-probabilities", "kernel_id": "9999893"}, {"ref": "jasoncyue/word-embedding-tfidfembeddingvector", "kernel_id": "9982607"}, {"ref": "jiayilijayee/textsentimentextractionusingnlp-tfidf", "kernel_id": "9957698"}, {"ref": "zeyadtshureih/sentimentanalysis", "kernel_id": "9980089"}, {"ref": "freddyyj3/roberta-comp", "kernel_id": "9987471"}, {"ref": "abhishek/multiprocessing-roberta-1-fold-per-core", "kernel_id": "10949046"}, {"ref": "cpmpml/ensemble", "kernel_id": "10169427"}, {"ref": "samarthagarwal23/extract-sentiment-and-imp-words-roberta-tf-5fold", "kernel_id": "10682129"}, {"ref": "yassinealouini/model-inference-only", "kernel_id": "10097031"}, {"ref": "yassinealouini/fine-tuning-roberta", "kernel_id": "10023149"}, {"ref": "misfyre/predicting-sentiment-for-the-original-dataset", "kernel_id": "10021183"}, {"ref": "panthonies/roberta-ensemble-top-6", "kernel_id": "10441551"}, {"ref": "tkm2261/best-public-kernel-with-magic-pre-post-process", "kernel_id": "10187235"}, {"ref": "tkm2261/pre-postprosessing-guc", "kernel_id": "10114071"}, {"ref": "dhruvilkarani/eda-topic-modelling-baseline-diagnostics", "kernel_id": "10037759"}, {"ref": "manjeetsingh/a-very-simple-sentiment-analysis", "kernel_id": "10195089"}, {"ref": "xanthate/f5-roberta-conv-head", "kernel_id": "10073011"}, {"ref": "floevan/preprocessing-and-eda", "kernel_id": "10728660"}, {"ref": "davlanigan/bert-pytorch-qa2", "kernel_id": "10121348"}, {"ref": "mayurjain/tweet-sentiment-using-nmt", "kernel_id": "10380351"}, {"ref": "naivelamb/roberta-base-ensemble", "kernel_id": "10127348"}, {"ref": "pranavkasela/koalas-the-pandas-of-spark-and-text-mining", "kernel_id": "10356998"}, {"ref": "pranavkasela/bert-vs-spark-nlp-use-embeddings", "kernel_id": "10364674"}, {"ref": "maxjon/create-train-and-test", "kernel_id": "10172410"}, {"ref": "jionie/preprocessing-new-pipeline-pseudo-model-ensemble", "kernel_id": "10129902"}, {"ref": "a529261027/bert-base-uncased-using-pytorch", "kernel_id": "10993205"}, {"ref": "mohamedkhamis/tse-roberta-cnn", "kernel_id": "10158536"}, {"ref": "devipradeep/sentiment-extraction-with-bert-pytorch", "kernel_id": "10032279"}, {"ref": "gomes555/ngram-predict-with-xgboost-tidymodels-in-r", "kernel_id": "10004746"}, {"ref": "hamishdickson/fork-of-w-space-weighted2", "kernel_id": "10146195"}, {"ref": "hamishdickson/w-space-weighted2", "kernel_id": "10119838"}, {"ref": "wuyhbb/roberta-inference-ensemble-v10", "kernel_id": "10014759"}, {"ref": "futureboykid/2nd-place-post-processing", "kernel_id": "10179001"}, {"ref": "behcetsenturk/roberta-q-a-ner-in-s-e-char-level", "kernel_id": "10135427"}, {"ref": "behcetsenturk/data-augmentation-thesaurus-synonyms-w-cleaning", "kernel_id": "10035379"}, {"ref": "vpkprasanna/cheatsheet-text-helper-functions-and-viz", "kernel_id": "10041580"}, {"ref": "hiromoon166/inference-8models-seed100101-bucketing-2-ver2", "kernel_id": "10161074"}, {"ref": "abhiex7/tweet-sentiment-extraction-electra", "kernel_id": "10142961"}, {"ref": "suicaokhoailang/roberta-large-drop-head", "kernel_id": "10084836"}, {"ref": "suicaokhoailang/roberta-base-drop-head", "kernel_id": "10084694"}, {"ref": "suicaokhoailang/roberta-large-drop-head-2", "kernel_id": "10084986"}, {"ref": "suicaokhoailang/bart-drop-head", "kernel_id": "10084992"}, {"ref": "suicaokhoailang/bart-drop-head-2", "kernel_id": "10085012"}, {"ref": "koza4ukdmitrij/postprocess-jaccard-expectation-maximization-jem", "kernel_id": "10126378"}, {"ref": "piotrkukielka/distilbert-attempt-polish-assignment", "kernel_id": "10043828"}, {"ref": "salmacmpeg/lstm-with-attention", "kernel_id": "10335223"}, {"ref": "salmacmpeg/lstm-model", "kernel_id": "10335097"}, {"ref": "salmacmpeg/lstm-and-convolution", "kernel_id": "10317476"}, {"ref": "salmacmpeg/bert-with-lstm-classifier", "kernel_id": "10317519"}, {"ref": "salmacmpeg/bert-classifier", "kernel_id": "10260652"}, {"ref": "rahulsarkar906/tfrobertasentimentanalyser", "kernel_id": "10255983"}, {"ref": "rinnqd/is-this-a-leak-or-magic", "kernel_id": "10169911"}, {"ref": "norrsken/roberta-submission", "kernel_id": "10603895"}, {"ref": "norrsken/roberta-sentiment-extraction-with-albert-tokenizer", "kernel_id": "10629903"}, {"ref": "norrsken/roberta-sentiment-extraction", "kernel_id": "10373623"}, {"ref": "mystique56/kernel717c6fe37c", "kernel_id": "10126821"}, {"ref": "derrickpdj/kernel39d959ac21", "kernel_id": "10499470"}, {"ref": "milan400/sentiment-analysis-using-ml", "kernel_id": "10331803"}, {"ref": "aruchomu/no-sampler-ensemble-normal-sub-0-7363", "kernel_id": "10083031"}, {"ref": "aruchomu/no-sampler-ensemble-normal-sub-0-7365", "kernel_id": "10086412"}, {"ref": "akashsuper2000/tweet-sentiment-extraction", "kernel_id": "10139172"}, {"ref": "akashsuper2000/roberta-on-steroids-pytorch-tpu-training", "kernel_id": "10020116"}, {"ref": "dldydtlr93/kernel41ceaac986", "kernel_id": "10478796"}, {"ref": "theoviel/character-level-model-magic", "kernel_id": "10183065"}, {"ref": "emily2008/tweet-sentiment-extraction-2-stage-models", "kernel_id": "10732956"}, {"ref": "gangakrish/keyword-extraction-tweets", "kernel_id": "10141331"}, {"ref": "yannanoo/roberta-baseline-pp", "kernel_id": "10065770"}, {"ref": "ambityga/bert-base-with-tf2-1-mixed-precision", "kernel_id": "10535030"}, {"ref": "athirakarthe/sentiment-analysis", "kernel_id": "10449035"}, {"ref": "gabrielmilan/huggingface-s-tfrobertaforquestionanswering", "kernel_id": "10102714"}, {"ref": "darshanpatel11/roberta-multi-task-learning-ner-span-extraction", "kernel_id": "10049451"}, {"ref": "tanmaylaud/tweet-sentiment-extraction-with-tf2-spanbert", "kernel_id": "10430016"}, {"ref": "mahmudds/tweet-sentiment-extraction", "kernel_id": "10087904"}, {"ref": "a7xche/tweet-sentiment-extraction-eda", "kernel_id": "10067383"}, {"ref": "rootofarch/roberta-w-preprocessing", "kernel_id": "10167701"}, {"ref": "weipengfei/tweet-sentiment-extraction-using-roberta-pytorch-v", "kernel_id": "10025834"}, {"ref": "neomatrix369/tse2020-roberta-pytorch-multi-tpu-10-skfd-2-2", "kernel_id": "10124902"}, {"ref": "bacicnikola/final-submit-sessions", "kernel_id": "10062810"}, {"ref": "lasercho/kernel1f6cca0431", "kernel_id": "10071259"}, {"ref": "anishadatta/kernel681a554f4d", "kernel_id": "10097425"}, {"ref": "jeriks/tweet-sentiment-extraction-roberta", "kernel_id": "10048707"}, {"ref": "ajax0564/singlemodel-tf2-2-tfroberta", "kernel_id": "10179715"}, {"ref": "rahanapa/kernel4fd581ede2", "kernel_id": "10120247"}, {"ref": "ricafernandes/tweet-text-extraction-given-sentiment-roberta", "kernel_id": "10149554"}, {"ref": "ricafernandes/data-viz-masked-word-clouds", "kernel_id": "10750940"}, {"ref": "bikkumama/kernel5802e83f3a", "kernel_id": "10154021"}, {"ref": "charan24/roberta-pytorch-1", "kernel_id": "10005102"}, {"ref": "franktimmermans/roberta-datatreat-urlfiltering-tunelossfunc", "kernel_id": "10233030"}, {"ref": "doanquanvietnamca/t5-meets-tpu-on-pytorch", "kernel_id": "10271638"}, {"ref": "naimur978/pytorch-gpu-inference-5-fold", "kernel_id": "10862359"}, {"ref": "naimur978/pytorch-tpu-inference-8-fold", "kernel_id": "10868802"}, {"ref": "hgultekin/lexicon-based-sentiment-analysis-with-vader", "kernel_id": "10778746"}, {"ref": "ivince20x4/tweet-sentiment-extraction-project-vince", "kernel_id": "10163392"}, {"ref": "sagar7390/eda-2x-faster-roberta-52nd-rank", "kernel_id": "10006907"}, {"ref": "rajat2341/twitter-sentiment-extraction", "kernel_id": "10120405"}, {"ref": "mmamel/first-kernel", "kernel_id": "10045910"}, {"ref": "santoshroy1/sentiment-using-nearest-neighbour", "kernel_id": "10134840"}, {"ref": "riyajm/attari", "kernel_id": "10085454"}, {"ref": "dmitri9149/tweet-sentiment-extraction-word-counts-only", "kernel_id": "10142436"}, {"ref": "dmitri9149/tweet-sentiment-roberta-and-pytorch", "kernel_id": "10135107"}, {"ref": "mileypiao/ml-pos-neg", "kernel_id": "10353499"}, {"ref": "ignaciomcgallo/tweet-sentiment-competition", "kernel_id": "10162794"}, {"ref": "soooou/kernel4c531e0539", "kernel_id": "10090584"}, {"ref": "hassanelmenier/nnets-final-project-qa-distilbert-ep2", "kernel_id": "10528445"}, {"ref": "mehdimabrouki/the-magic", "kernel_id": "10128380"}, {"ref": "mehdimabrouki/roberta-multi-task-learning-10-folds", "kernel_id": "10062167"}, {"ref": "rohitsingh9990/preprocessing-that-worked", "kernel_id": "10171438"}, {"ref": "rohitsingh9990/roberta-prepost-0-726", "kernel_id": "10073549"}, {"ref": "zafercnby/tweet-sentiment-analysis-pycoders-project-b21d80", "kernel_id": "10331152"}, {"ref": "ziedbaklouti/bow-rnn", "kernel_id": "10145904"}, {"ref": "antongolubev5/is-full-best-matching", "kernel_id": "10125306"}, {"ref": "antongolubev5/marker-full-text", "kernel_id": "10129553"}, {"ref": "tbwfqk/cheatsheet-text-helper-functions", "kernel_id": "10996841"}, {"ref": "aman2000jaiswal/tweet-15-06-20", "kernel_id": "10131001"}, {"ref": "kvdprasad/tweet-sentiment-extraction", "kernel_id": "10340747"}, {"ref": "zeydustaoglu/tweet-sentiment-analysis-pycoders-project", "kernel_id": "10176860"}, {"ref": "samyakkala/kernel936efef638", "kernel_id": "10072568"}, {"ref": "samyakkala/tse-analysis-prediction", "kernel_id": "10073185"}, {"ref": "samyakkala/tse-visualization-prediction-tf-roberta", "kernel_id": "10075597"}, {"ref": "samyakkala/tweet-sentiment-extraction-analysis-prediction", "kernel_id": "10071458"}, {"ref": "nicholasgeorgekiddle/k-fold", "kernel_id": "10028810"}, {"ref": "nicholasgeorgekiddle/lemma", "kernel_id": "10028868"}, {"ref": "nicholasgeorgekiddle/boosting", "kernel_id": "10028258"}, {"ref": "nicholasgeorgekiddle/word-embedding", "kernel_id": "10029587"}, {"ref": "sony0125/roberta-3-cnn-layers", "kernel_id": "10388435"}, {"ref": "abfall/trainning-of-qa-dot-v1-dwq", "kernel_id": "10138392"}, {"ref": "jswxhd/extract-tweet-with-bert", "kernel_id": "10043234"}, {"ref": "tumul360/using-tfidf-only", "kernel_id": "10054166"}, {"ref": "asmaaabdelmegeed/kernel-reborta", "kernel_id": "10057245"}, {"ref": "imkrkannan/twitter-sentimental-extraction", "kernel_id": "10152272"}, {"ref": "natemare/eda-cnn-tsever-1", "kernel_id": "10370911"}, {"ref": "oneque/kernel76d8e04a6f", "kernel_id": "10057247"}, {"ref": "biswajitroy7890/tweet-sentiment-extraction", "kernel_id": "10775849"}, {"ref": "narimanelsamadony/pytorch-lightning-data-cleaning-8f5cce", "kernel_id": "10534628"}, {"ref": "narimanelsamadony/pytorch-lightning-data-cleaning", "kernel_id": "10451154"}, {"ref": "mohamedhany13/bi-lstm-glove-sentiment-separation-pre-post-proces", "kernel_id": "10299899"}, {"ref": "areegwael/pytorch-lightning-data-cleaning", "kernel_id": "10522464"}, {"ref": "srijamacherla/baymacs-nlp1", "kernel_id": "10153599"}, {"ref": "shinichiishida/kernel5ef081182c", "kernel_id": "10006260"}, {"ref": "myho63/test-version2", "kernel_id": "10020802"}, {"ref": "jamesyang3/kernel2d823646f0", "kernel_id": "10041353"}, {"ref": "pranaydate/improving-bert-model", "kernel_id": "10098862"}, {"ref": "pranaydate/roberta-tpu-increase-s-running-speed", "kernel_id": "10139960"}, {"ref": "pranaydate/text-extract", "kernel_id": "10016910"}, {"ref": "pranaydate/commented-bert-using-pytorch", "kernel_id": "10076969"}, {"ref": "senritu/tweet-sentiment-roberta-pytorch", "kernel_id": "10009467"}, {"ref": "senritu/roberta-inference-5-folds", "kernel_id": "10100493"}, {"ref": "ceyhunmamedzade/tweeter-me", "kernel_id": "10117385"}, {"ref": "nehomarcmioti/mioti-equipo-borja-laura-nehomar", "kernel_id": "10043485"}, {"ref": "hongjikim/hhh-result", "kernel_id": "10054726"}, {"ref": "rajnathpatel/tweet-sentiment-extraction-submission", "kernel_id": "10610238"}, {"ref": "rajnathpatel/tweet-sentiment-extraction", "kernel_id": "10606557"}, {"ref": "steveblomgren/sklearn-multinomialnb-and-svm", "kernel_id": "10004878"}, {"ref": "haewoncho1/kernel29a8e36a18", "kernel_id": "10050145"}, {"ref": "isaacpeters/notebook-word-embeddings", "kernel_id": "10027434"}, {"ref": "isaacpeters/word-embeddings-2", "kernel_id": "10025629"}, {"ref": "samanthalzeigler/naive-bayes-alteration", "kernel_id": "10025752"}, {"ref": "sevashasla/try-tweet-sentiment", "kernel_id": "10221669"}, {"ref": "trevjones/word-embedding-experiments", "kernel_id": "10017767"}, {"ref": "victor500/kernel-500", "kernel_id": "10451210"}, {"ref": "gankovl/tweetsentiment-w-linearsvc", "kernel_id": "10041974"}, {"ref": "jiayilijayee/wc-extraction", "kernel_id": "10046193"}, {"ref": "benl03/vader-2", "kernel_id": "10047915"}, {"ref": "benl03/combination-test", "kernel_id": "10048129"}, {"ref": "zeyadtshureih/final-submission", "kernel_id": "10050922"}, {"ref": "ghaithmshan/kernel2d015ca966", "kernel_id": "10050377"}, {"ref": "samanthaestrada/kernel6ac819e02f", "kernel_id": "10043211"}, {"ref": "justinparks/count-vectorizer-plus", "kernel_id": "10049702"}, {"ref": "alisonjones/kmeans-tfidf-clusters-for-prediction", "kernel_id": "10047776"}, {"ref": "jinheonbaek/pytorch", "kernel_id": "10387948"}, {"ref": "noobaitrainer/kernel75a2a12559", "kernel_id": "10912027"}, {"ref": "aamirhussain/cheatsheet-text-helper-functions", "kernel_id": "11434432"}, {"ref": "kiatweitan/tweet-phrase-extraction", "kernel_id": "11731059"}, {"ref": "dplutcho/tweet-sent-ext-eda", "kernel_id": "11861310"}, {"ref": "dplutcho/tweet-sent-ext-ner", "kernel_id": "11976013"}, {"ref": "shams1/nlp-disaster-tweets", "kernel_id": "11323136"}, {"ref": "longtng/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "11224718"}, {"ref": "antigravityimport/test-notebook", "kernel_id": "11730236"}, {"ref": "nishant483/simple-solution-with-tf-idf-scores", "kernel_id": "11851432"}, {"ref": "amananand32/question-answering-on-tweet-extraction", "kernel_id": "11315923"}, {"ref": "tusharkale/bert-base-uncased-using-pytorch", "kernel_id": "11712631"}, {"ref": "hazelkang/tweet-sentiment-preprocessing-v2", "kernel_id": "11582894"}, {"ref": "swarajshinde/eda-data-augmentation-techniques-for-text-nlp", "kernel_id": "11402210"}, {"ref": "lokkagle/tweet-sentiment-analysis", "kernel_id": "11193728"}, {"ref": "raycatcher/tweet-sentiment-insight-eda", "kernel_id": "11750299"}, {"ref": "raycatcher/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "11750232"}, {"ref": "omfuke123/bert-classification-pytorch", "kernel_id": "11182106"}, {"ref": "sigmag/t5-fine-tuning-on-my-dataset", "kernel_id": "11627538"}, {"ref": "ayano0412/roberta-inference", "kernel_id": "11128139"}, {"ref": "deepakat002/tweeter-sentiment-phrase-extraction-roberta", "kernel_id": "11428975"}, {"ref": "drnykterstein/twitter-sentiment-extaction-analysis-eda", "kernel_id": "11187112"}, {"ref": "nthoangcute/tweet-sentiment-extraction-vietbt-mle501", "kernel_id": "11180407"}, {"ref": "mhkn99/t5-fine-tuning-tutorial", "kernel_id": "11322304"}, {"ref": "abdulrahmanmohammed/tweet-sentiment-extraction", "kernel_id": "11822250"}, {"ref": "aman2000jaiswal/real-nlp-disaster-tweets", "kernel_id": "11314223"}, {"ref": "zebra69/sentiment-prediction-using-bert", "kernel_id": "11151010"}, {"ref": "ryanchan911/bert-baseline-model", "kernel_id": "11480472"}, {"ref": "ryanchan911/bert-model-saved", "kernel_id": "11527644"}, {"ref": "asamad06/sentiment-analysis", "kernel_id": "11083063"}, {"ref": "sourabhdharpure/media-bias-on-twitter-using-sentiment-analysis-be", "kernel_id": "11266249"}, {"ref": "quangdainguyen/tsd-eda-on-trial-dataset", "kernel_id": "11808992"}, {"ref": "ahmedmurad1990/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "11374948"}, {"ref": "dplutcho/tweet-sent-ext-spacy-ipynb", "kernel_id": "12813070"}, {"ref": "hisudha/tf-roberta", "kernel_id": "12348104"}, {"ref": "kanruwang/tweet-sentiment-roberta-pytorch-inference", "kernel_id": "12797839"}, {"ref": "kanruwang/tweet-sentiment-roberta-pytorch-train", "kernel_id": "12793937"}, {"ref": "tusharkale/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "12599923"}, {"ref": "bharath150/tse-nn-models", "kernel_id": "12286312"}, {"ref": "bharath150/tse-feature-selection", "kernel_id": "12236114"}, {"ref": "bharath150/tse-nn-concat-first", "kernel_id": "12621720"}, {"ref": "bharath150/nn-wordlevel", "kernel_id": "12596273"}, {"ref": "bharath150/learning-attention2", "kernel_id": "12758022"}, {"ref": "dwayne99/twitter-sentiment-analysis-eda-to-modeling", "kernel_id": "12976704"}, {"ref": "faressayah/toxic-tweet-classification-with-tensorflow", "kernel_id": "12167638"}, {"ref": "simonmeoni/bert-twitter-sentiment-extraction", "kernel_id": "12752583"}, {"ref": "andreispurim/challenge-data-science-andreis-e-eduarda", "kernel_id": "12423924"}, {"ref": "taritkandpal/taritkandpal-101703583", "kernel_id": "12973244"}, {"ref": "tanvithanekar/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "12476829"}, {"ref": "mansimeena/twitter-sentiment-analysis-using-spacy", "kernel_id": "12025749"}, {"ref": "umaojha/simple-sentiment-analysis", "kernel_id": "12394162"}, {"ref": "allenzhang20/tensorflow-roberta-0-705", "kernel_id": "12382421"}, {"ref": "harryvine/spacy-ner-no-neutral", "kernel_id": "12715918"}, {"ref": "ashutosh1229/notebook83bea4d89f", "kernel_id": "12978935"}, {"ref": "sniperline5/senti-analysis", "kernel_id": "12880599"}, {"ref": "aarushiwadhwa4/tweet-sentiment", "kernel_id": "12991341"}, {"ref": "eterna1demon/lstm-tweet-sentiment-extraction", "kernel_id": "12960580"}, {"ref": "nidhialipuria3369/nidhi-submission", "kernel_id": "12987934"}, {"ref": "aekamjotsingh/tweet-sentiment", "kernel_id": "12981435"}, {"ref": "nietzs96/monograf-a-introducci-n", "kernel_id": "12617967"}, {"ref": "nietzs96/glove-convolutional", "kernel_id": "12719424"}, {"ref": "nietzs96/monograf-a-distilbert", "kernel_id": "12719650"}, {"ref": "nietzs96/monograf-a-roberta", "kernel_id": "12866731"}, {"ref": "sais01/tse-712-folds", "kernel_id": "12566035"}, {"ref": "sais01/tse-bert", "kernel_id": "12492675"}, {"ref": "sais01/tse-roberta", "kernel_id": "12528529"}, {"ref": "gisbee/stripping-model-back", "kernel_id": "13804375"}, {"ref": "keenborder/transformer-token-classification-simple", "kernel_id": "13971862"}, {"ref": "neomatrix369/fastchai-tweet-sentiment-extraction-data-prep", "kernel_id": "13013781"}, {"ref": "neomatrix369/fastchai-tweet-sentiment-extraction-analysis", "kernel_id": "13312719"}, {"ref": "gouravagg77/twitter-sentiment-assignment", "kernel_id": "13029065"}, {"ref": "nitinberwal/notebooked5271d326", "kernel_id": "13105344"}, {"ref": "faressayah/amazon-reviews-sentiment-analysis-with-keras", "kernel_id": "13408829"}, {"ref": "oleksiibernatskyi/seq2seq-prot", "kernel_id": "13282542"}, {"ref": "sakshammangal/tweet-sentiment-extraction-saksham", "kernel_id": "13109369"}, {"ref": "vanshitagupta1607/vanshita-tweetsentimentanalysis", "kernel_id": "13060659"}, {"ref": "ethanol2611/t5-fine-tuning-tutorial", "kernel_id": "13624120"}, {"ref": "amitmehra04/sentiment-identification", "kernel_id": "13954401"}, {"ref": "lukeballantyne/tweets-1", "kernel_id": "13207190"}, {"ref": "jeevanbhoot/us-politician-tweets-nlp-with-fastai", "kernel_id": "13990161"}, {"ref": "ricardocantumartinez/twitter-sentiment-extaction-analysis-eda-an-cf755b", "kernel_id": "13393813"}, {"ref": "mariellacorrea/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "13435433"}, {"ref": "marialuisafuentes/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "13497441"}, {"ref": "harryvine/distilbert-ner", "kernel_id": "13223397"}, {"ref": "harryvine/distilbert-qa", "kernel_id": "13197815"}, {"ref": "aarushiwadhwa4/tweet-sentiment-rnn", "kernel_id": "13023118"}, {"ref": "lakshyapandey7/tweet-sentiment-extraction-by-lakshya", "kernel_id": "13099065"}, {"ref": "yogeshsingla1/notebook773bfa0ee3", "kernel_id": "13105638"}, {"ref": "rohitgargkk0/notebookbd4daef7e5", "kernel_id": "13110423"}, {"ref": "amittal1be17/notebookebe921b54f", "kernel_id": "13100956"}, {"ref": "harneetkaurchahal26/tweet-sentiment-harneetchahal-final", "kernel_id": "13076656"}, {"ref": "hunnygupta7/assignment2-sol", "kernel_id": "13189975"}, {"ref": "samirepili/tensorflow-roberta-final", "kernel_id": "13043661"}, {"ref": "samirepili/tensorflow-bert-final", "kernel_id": "13326517"}, {"ref": "aarushiwadhwa444/notebook12b7d60b99", "kernel_id": "13022615"}, {"ref": "ramsahu/simpletransformers-tweet-sentiment-extraction", "kernel_id": "14305711"}, {"ref": "pashupatigupta/transfer-learning-using-bert-in-depth", "kernel_id": "14556187"}, {"ref": "faressayah/nlp-with-spacy-nltk-gensim", "kernel_id": "14162239"}, {"ref": "faressayah/spacy-chapter-1-finding-words-phrases-names", "kernel_id": "14580921"}, {"ref": "faressayah/spacy-chapter-2-large-scale-data-analysis", "kernel_id": "14584147"}, {"ref": "faressayah/spacy-chapter-3-processing-pipelines", "kernel_id": "14588101"}, {"ref": "deshwalmahesh/rnn-you-ve-been-reading-it-the-wrong-way", "kernel_id": "14465441"}, {"ref": "sasidharturaga/eda-detailed-overview-easy-finetuning-roberta", "kernel_id": "14259492"}, {"ref": "rajgandhi/eda-tweet-extraction", "kernel_id": "14579871"}, {"ref": "ayoubsandali/twitter-sentiment-extraction", "kernel_id": "14064208"}, {"ref": "rahulkadam0909/tweet-sentiment-extraction", "kernel_id": "14934989"}, {"ref": "yoohyuck/tensorflow-roberta-koran-ver", "kernel_id": "14497733"}, {"ref": "yoohyuck/twitter-get-sentiment-korean-version", "kernel_id": "14295894"}, {"ref": "stormrix/sentiment-analysis-of-sars-cov-2-vaccination-tweet", "kernel_id": "15964398"}, {"ref": "jack3639570/tweet-sentiment-roberta-pytorch-2e376b", "kernel_id": "15547653"}, {"ref": "faressayah/text-analysis-topic-modeling-with-spacy-gensim", "kernel_id": "15619405"}, {"ref": "ejaz22/question-answering-using-simpletransformer", "kernel_id": "15422282"}, {"ref": "mdabrarjahin/ner-approach-twitter-sentiment-extaction", "kernel_id": "15428994"}, {"ref": "modalayaswanth/submission-1", "kernel_id": "15938540"}, {"ref": "bhaveshkumar2806/twitter-sentiment-extraction", "kernel_id": "15335468"}, {"ref": "puxuanguo/tensorflow-bert", "kernel_id": "15730280"}, {"ref": "orangeblack/tweet-sentiment-roberta-pytorch-2e376b", "kernel_id": "15502219"}, {"ref": "orangeblack/tweet-sentiment-roberta-pytorch-2e376b-b8b8e9", "kernel_id": "15603508"}, {"ref": "onesol/eda-bart", "kernel_id": "15244731"}, {"ref": "sifatmdabdullah/distilbert-base-uncased-pytorch-3-layers", "kernel_id": "16602822"}, {"ref": "sifatmdabdullah/distilbert-base-uncased-pytorch-1-layer", "kernel_id": "16599383"}, {"ref": "sifatmdabdullah/distilbert-base-uncased-pytorch-2-layers", "kernel_id": "16589354"}, {"ref": "sifatmdabdullah/bert-base-uncased-pytorch-5-layers", "kernel_id": "16412937"}, {"ref": "sifatmdabdullah/bert-base-uncased-pytorch-4-layers", "kernel_id": "16445611"}, {"ref": "sifatmdabdullah/bert-base-uncased-pytorch-1-layer", "kernel_id": "16339102"}, {"ref": "sourabh219/roberta-baseline-model", "kernel_id": "16937720"}, {"ref": "faressayah/transfer-learning-for-natural-language-processing", "kernel_id": "16597633"}, {"ref": "hyeonjin6/basic-eda-tweet-sentiment-extraction", "kernel_id": "16946220"}, {"ref": "anxusan/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "16307367"}, {"ref": "akashbhakat/18bce2320-twitter-sentiment-extraction", "kernel_id": "16934985"}, {"ref": "jerifate/tweet-sentiment-blue-visualization-with-bert", "kernel_id": "16948212"}, {"ref": "redwankhan055/exec-distilbert-base-uncased-pytorch-2-layers", "kernel_id": "16662891"}, {"ref": "redwankhan055/exec-distilbert-base-uncased-pytorch-3-layers", "kernel_id": "16662925"}, {"ref": "redwankhan055/exec-distilbert-base-uncased-pytorch-4-layers", "kernel_id": "16662974"}, {"ref": "redwankhan055/exec-distilbert-base-uncased-pytorch-5-layers", "kernel_id": "16662797"}, {"ref": "redwankhan055/exec-distilbert-base-uncased-pytorch-1-layer", "kernel_id": "16662819"}, {"ref": "matheuslopesvivas/tweet-sentiment-extraction", "kernel_id": "16051870"}, {"ref": "mufeichen/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "16300454"}, {"ref": "aditidutta/tweet-sentiment-extraction-pytorch", "kernel_id": "17020328"}, {"ref": "dipanshumodi/question-answering-starter-pack", "kernel_id": "17625634"}, {"ref": "jeongwonkim10516/eda-pred-using-roberta-emerald-color", "kernel_id": "17006598"}, {"ref": "thanmaireddyb/question-answering-starter-pack", "kernel_id": "17742844"}, {"ref": "djtere/tweet-sentiment-extraction", "kernel_id": "18752888"}, {"ref": "raryan/tweet-sentiment-extraction", "kernel_id": "18853055"}, {"ref": "snag1234/eda-data-augmentation-techniques-for-text-nlp-sn", "kernel_id": "18407132"}, {"ref": "vishaldeoprasad/text-analysis-topic-modelling-with-spacy-gensim", "kernel_id": "18329551"}, {"ref": "daominhkhanh/tweetsentimentextraction", "kernel_id": "18800569"}, {"ref": "abdelrhmanhosny/text-preprocessing-fittingwordembeddingstocorpus", "kernel_id": "18675084"}, {"ref": "dianakapatsyn/hackathon", "kernel_id": "18297885"}, {"ref": "mariiamarafiievych/cucumber", "kernel_id": "18338420"}, {"ref": "eien6cccll/tweet-sentiment-extraction", "kernel_id": "18482196"}, {"ref": "regnover/twitter-sentiment-extaction-analysis", "kernel_id": "18485904"}, {"ref": "regnover/tse2020-roberta", "kernel_id": "18460222"}, {"ref": "windowsillcat/tweet-sentiment-roberta-pytorch", "kernel_id": "18843138"}, {"ref": "himanshubhavnani/better-tweet-sentiment-analysis", "kernel_id": "18781722"}, {"ref": "himanshubhavnani/tweet-sentiment-analysis", "kernel_id": "18772752"}, {"ref": "abdokamr/eda-for-sentiment-analysis", "kernel_id": "19939477"}, {"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "crprpr/clasificaci-n-de-texto-tensorflow-transformers", "kernel_id": "20429762"}, {"ref": "afnanmousa/tweet-sentiment-extraction-using-roberta", "kernel_id": "20580257"}, {"ref": "sangeevs/tweet-sentiment-extraction", "kernel_id": "21127870"}, {"ref": "shrajsh/text-augmentation", "kernel_id": "21583396"}, {"ref": "simonmeoni/tse-submission", "kernel_id": "21534429"}, {"ref": "bhavinmoriya/natural-language-processing-nlp-for-beginners", "kernel_id": "21165217"}, {"ref": "junaidmahmud/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "21124517"}, {"ref": "segeymakarov/tweet-sentiment-extraction-lstm-makarov-s", "kernel_id": "21842208"}, {"ref": "segeymakarov/tweet-sentiment-extraction-roberta-makarov-s", "kernel_id": "21789340"}, {"ref": "juniorbueno/tweet-sentiment-extraction", "kernel_id": "21925050"}, {"ref": "zapricon/roberta-multi-task-learning-10-folds", "kernel_id": "21131873"}, {"ref": "segeymakarov/tweet-sentiment-extraction-eda-makarov-s", "kernel_id": "22008497"}, {"ref": "puranjaykwatra/minor-project2-analysis", "kernel_id": "22244810"}, {"ref": "jaspershih/dl-final", "kernel_id": "22947794"}, {"ref": "codingsayian/roberta-base", "kernel_id": "22536260"}, {"ref": "toygarr/contextual-model-and-crawling-for-real-tweets", "kernel_id": "22914249"}, {"ref": "toygarr/sentiment-aware-model-to-classify-data-in-realtime", "kernel_id": "22888020"}, {"ref": "ritvik1909/question-answering-rnn", "kernel_id": "23734896"}, {"ref": "ritvik1909/question-answering-attention", "kernel_id": "23737728"}, {"ref": "hayriyigit/basic-embedding-imp", "kernel_id": "23792311"}, {"ref": "george267/tweet-sentiment-lr", "kernel_id": "23530722"}, {"ref": "aasthavashist/lexicon-based-sentiment-analysis-with-vader", "kernel_id": "23750646"}, {"ref": "saburb/text-analysis-topic-modellingwith-spacy-gensim", "kernel_id": "24489771"}, {"ref": "mouezyazidi/tweets-disaster-classification-lstm", "kernel_id": "24730020"}, {"ref": "rohanbavishi/feature-engineering-lightgbm-model-starter-kit", "kernel_id": "25710951"}, {"ref": "vincentalainlaurent/mstm-jv-tweet-extraction", "kernel_id": "26659258"}, {"ref": "zegveld/natural-language-processing-nlp-for-beginners", "kernel_id": "26374868"}, {"ref": "aayushkubba/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "27414432"}, {"ref": "somehand/tensorflow-roberta-0-705", "kernel_id": "27625226"}, {"ref": "swan706/sms-spam-nlp", "kernel_id": "27470525"}, {"ref": "nguynqucminh/52000782-nguyen-quoc-minh-52000780-hoang-quoc-minh", "kernel_id": "27230292"}, {"ref": "scchuy/kaggle-book-sentiment-analysis", "kernel_id": "28556727"}, {"ref": "kanikar/tweet-sentiment-extraction", "kernel_id": "28287508"}, {"ref": "seunghyeokhong/eda-and-preprocessing-for-bert-ing", "kernel_id": "28978203"}, {"ref": "minhtamlenguyen/tensorflow-roberta-0-705", "kernel_id": "28085155"}, {"ref": "danghuuphuocvinh/report-of-sentiment-prediction-project", "kernel_id": "28271192"}, {"ref": "danghuuphuocvinh/tensorflow-roberta-0-705", "kernel_id": "28271288"}, {"ref": "ankitkumar111/tweet-sentiment-bert-and-eda", "kernel_id": "29677633"}, {"ref": "guedrioussema/tweet-sentiment", "kernel_id": "29123301"}, {"ref": "rajeevnair676/nlp-for-all-part-2", "kernel_id": "29964074"}, {"ref": "rajeevnair676/nlp-forall-part1", "kernel_id": "29712662"}, {"ref": "sagarikajadon/tweet-sentiment-extraction-debertav3-train", "kernel_id": "29923966"}, {"ref": "madwolf/rs1-text-sentiment-classsification-using-cnn", "kernel_id": "30024733"}, {"ref": "karineayrapetyants/data-cleaning-and-eda-for-beginners", "kernel_id": "30964717"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "sakethmattupalli/tweetsentiment-qa-nostride-stratkfold-tensorflow", "kernel_id": "31080731"}, {"ref": "vistokartika/eda-and-backtranslating", "kernel_id": "31153582"}, {"ref": "wodsonsilva/projeto", "kernel_id": "31110149"}, {"ref": "terranroger/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "31206989"}, {"ref": "ananyaroy1011/twitter-sentiment-extaction", "kernel_id": "32600298"}, {"ref": "ananyaroy1011/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "32600448"}, {"ref": "chetnapaikra/emn-c", "kernel_id": "32133412"}, {"ref": "sagarikajadon/tweet-sentiment-extraction-debertav3-infer", "kernel_id": "32675485"}, {"ref": "ujjwalchowdhury/improving-bert-model", "kernel_id": "32443002"}, {"ref": "pawankumargunjan/tweet-sentiment-extracton", "kernel_id": "32059926"}, {"ref": "hridaym25/clustering-labels-idea", "kernel_id": "32392591"}, {"ref": "ahmeturunveren/nlpforbegin", "kernel_id": "32239837"}, {"ref": "jivansingh1/tweet-sentiment-bert-and-eda-72bbe4", "kernel_id": "32060413"}, {"ref": "arushig/tweet-sentiment-extraction-ner", "kernel_id": "33817286"}, {"ref": "arushig/tse-roberta-0-714", "kernel_id": "33804962"}, {"ref": "kushal1506/tweet-sentiment-extraction-a-k-a-questionanswering", "kernel_id": "33420029"}, {"ref": "pierreleffe/tweet-sentiment-extraction-with-spacy", "kernel_id": "33818103"}, {"ref": "robirobii/nlp-3-tweetse2", "kernel_id": "33961158"}, {"ref": "buntyshah/twitter-sentiment-extraction-college-demo-1", "kernel_id": "34687970"}, {"ref": "ivootero/nlp-for-disaster-tweets-ivo-otero", "kernel_id": "34878923"}, {"ref": "zeeshanlatif/basic-text-preprocessing-tasks", "kernel_id": "34572906"}, {"ref": "baptistesauvecanne/inference-ner-using-spacy-lb-0-62519", "kernel_id": "34995625"}, {"ref": "papaji89989/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "34918209"}, {"ref": "senapatirajesh/twitter-sentiment-analysis-eda", "kernel_id": "34075724"}, {"ref": "adityatiwary/twitter-sentiment", "kernel_id": "34541110"}, {"ref": "almamun567/simple-naive-bayes-classifier", "kernel_id": "35084567"}, {"ref": "echoyang99/lstm-pytorch", "kernel_id": "35983833"}, {"ref": "manvilohia/tweet-sentiment-target-words-extraction-using-ner", "kernel_id": "35424077"}, {"ref": "haroonkhan0011/text-data-preprocessing", "kernel_id": "35229148"}, {"ref": "prosenjitgoswami/question-answering-starter-pack", "kernel_id": "35486196"}, {"ref": "chandradipbanerjee/tweet-sentiment-analysis-by-chandradip-banerjee", "kernel_id": "36295225"}, {"ref": "zeeshanlatif/countvectorizer-vs-tfidfvectorizer", "kernel_id": "36277444"}, {"ref": "shunsukeiwata2128668/tweet-bert", "kernel_id": "36030160"}, {"ref": "echoyang99/machine-learning-nlp", "kernel_id": "36934923"}, {"ref": "greyisbetter/twitter-sentiment-analysis-u-b-d-fs", "kernel_id": "36917330"}, {"ref": "echoyang99/glove-lstm", "kernel_id": "37504095"}, {"ref": "guanzongwu/tweet-sentiment-rnn", "kernel_id": "37251153"}, {"ref": "archiy/utils", "kernel_id": "37131009"}, {"ref": "haroonkhan0011/tfidf-vs-countvectorizer", "kernel_id": "37196458"}, {"ref": "fintechkaggle/lstm-pytorch", "kernel_id": "37853764"}, {"ref": "xiefei/chapter11-sentiment-extraction", "kernel_id": "38158676"}, {"ref": "xiefei/chapter11-nlp-augmentation1", "kernel_id": "38159024"}, {"ref": "gunnusravani/natural-language-processing-nlp-for-beginners", "kernel_id": "38515503"}, {"ref": "gunnusravani/twitter-nlp", "kernel_id": "38119327"}, {"ref": "alvoro/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "38747939"}, {"ref": "shreyas1bm20cs156/nlp-extraction-tokenization-and-vectorization", "kernel_id": "38276635"}, {"ref": "newdatascientist17/twitter-sentiment-analysis", "kernel_id": "38787287"}, {"ref": "fatmaqazaer/nlp-project-fatmaqazaer", "kernel_id": "39212497"}, {"ref": "pavan4679/tweet-sentiment", "kernel_id": "39178067"}, {"ref": "kenchungchung/report-0608", "kernel_id": "39562845"}, {"ref": "panzerottodiguerra/elmo-and-bilstm-with-crf", "kernel_id": "40792863"}, {"ref": "sameer1232018/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "40946232"}, {"ref": "rishavnathpati/twitter-sentiment-analysis-in-r", "kernel_id": "41812037"}, {"ref": "umarzeinardhisiregar/notebooknya-aqil", "kernel_id": "41749431"}, {"ref": "shahidulugvcse/natural-language-processing-nlp-for-beginners", "kernel_id": "41978344"}, {"ref": "adarshcgowda/comprehensive-sentiment-analysis-guide", "kernel_id": "41315073"}, {"ref": "maqilganhein/sentiment-analysis", "kernel_id": "41749478"}, {"ref": "sajjadhadi/tweet-sentiment-extraction-machine-learning", "kernel_id": "43704315"}, {"ref": "sajjadhadi/tweet-sentiment-analysis-w-deep-learning", "kernel_id": "43710792"}, {"ref": "yaossg/exploratory-data-analysis-on-twitter-sentiment", "kernel_id": "43795861"}, {"ref": "walterlv0/twitter-sentiment-analysis-lstm", "kernel_id": "44030238"}, {"ref": "shikimoe/character-level-model-magic", "kernel_id": "44026763"}, {"ref": "hassansyed/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "45290775"}, {"ref": "jeremynj/tweet-sentiment-extraction", "kernel_id": "45015917"}, {"ref": "sajjadhadi/tweet-sentiment-extraction-w-fine-tuning", "kernel_id": "45728209"}, {"ref": "qinyujiang/ssg-fans", "kernel_id": "45118451"}, {"ref": "krishpatel7890/customer-feedback-analysis-1", "kernel_id": "45935396"}, {"ref": "nourrouis/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "46838341"}, {"ref": "rrb8695/natural-language-processing-nlp-for-beginners", "kernel_id": "47655088"}, {"ref": "mredulneuralframe/twitter-sentiment-analysis-using-spacy", "kernel_id": "47790303"}, {"ref": "panosc/s6-nlp-example", "kernel_id": "49108341"}, {"ref": "jeremynj/bert-finetuning-for-tweet-sentiment-analysis", "kernel_id": "49052257"}, {"ref": "ixcora/aspect-based-sentiment-analysis-abas", "kernel_id": "49171279"}, {"ref": "harshvardhan7695/ner-training-using-spacy-on-twitter-sentiment", "kernel_id": "50956818"}, {"ref": "irttthenilap/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "50587124"}, {"ref": "lmikhell/natural-language-processing-nlp-for-beginners", "kernel_id": "50995886"}, {"ref": "sathyabalaji33/bert-base-uncased-using-pytorch", "kernel_id": "51993216"}, {"ref": "krunalkshirsagar523/natural-language-processing-nlp-for-beginners", "kernel_id": "51175263"}, {"ref": "vinitkp/bert-base-uncased-using-pytorch", "kernel_id": "52969579"}, {"ref": "chiangkhenghe/tm-commented-roberta-training-with-pytorch", "kernel_id": "52716245"}, {"ref": "chiangkhenghe/commented-roberta-training-with-pytorch", "kernel_id": "52266241"}, {"ref": "garipurv/label-sentiment-of-tweets", "kernel_id": "53648071"}, {"ref": "achmadshidiq/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "53292714"}, {"ref": "sandeepundurthi/notebook466122c7a8", "kernel_id": "53634789"}, {"ref": "sandeepundurthi/data-cleaning-and-eda-for-beginners", "kernel_id": "53630569"}, {"ref": "annguyen28/bert-base-uncased-using-pytorch", "kernel_id": "53442059"}, {"ref": "chiangkhenghe/tm-svm", "kernel_id": "53042626"}, {"ref": "salmayassin/sentiment-analysis-using-na-ve-bayes-classifier", "kernel_id": "55229333"}, {"ref": "gyanbardhan/attention-mechanism", "kernel_id": "55429747"}, {"ref": "abhijatt/nlp-sentiment-analysis", "kernel_id": "55565553"}, {"ref": "mohamedamgad2002/twitter-sentiment-analysis", "kernel_id": "56818014"}, {"ref": "kenken1234567/sentiment-analysis-cnn-dt", "kernel_id": "56958090"}, {"ref": "yuzq12/bertmodel1", "kernel_id": "56684110"}, {"ref": "leonalinlin/natural-language-processing-nlp-for-beginners", "kernel_id": "57010993"}, {"ref": "leonalinlin/nlp-cheatsheet-master-nlp", "kernel_id": "57010779"}, {"ref": "shubhsehgal/capstone-project-shubh", "kernel_id": "59526704"}, {"ref": "daniyaakhmedova/bert-model-akhmedovad", "kernel_id": "61654437"}, {"ref": "zeyadshahin/text-extraction-using-question-answering-model", "kernel_id": "61709522"}, {"ref": "ahmedemadeldeen/sentiment-analysis", "kernel_id": "62388785"}, {"ref": "notosusanto/twitter-sentiment-analysis", "kernel_id": "64440177"}, {"ref": "thanhikam/natural-language-processing-nlp-for-beginners", "kernel_id": "65389152"}, {"ref": "ahmedmostafadora/tweet-sentiment-classification-naive-bayes", "kernel_id": "66272004"}, {"ref": "omaramir2001/tweet-sentiment-analysis", "kernel_id": "66270932"}, {"ref": "yashhvardhan/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "66409353"}, {"ref": "tamirlansuyunshalin/praktika-3", "kernel_id": "67106131"}, {"ref": "patharapolpinthong/mlproject", "kernel_id": "67141280"}, {"ref": "preyanka/natural-language-processing-nlp-for-beginners", "kernel_id": "68645168"}, {"ref": "tunguz/tweet-sentiment-autotrain", "kernel_id": "69357465"}, {"ref": "rev2109/applying-machine-learning-to-enhance-the-accuracy", "kernel_id": "69110216"}, {"ref": "sudhanshu4497/sudhanshu", "kernel_id": "69564170"}, {"ref": "edwardombui/twitter-sentiment-extaction-analysis-eda-and-model", "kernel_id": "70549152"}, {"ref": "gauravghatuary/twitter-sentiment-analysis", "kernel_id": "70422664"}, {"ref": "iiiliryo/customer-segementation", "kernel_id": "71519225"}, {"ref": "systemroomprint16/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "72297143"}, {"ref": "ragulthiagarajan/roberta-emotion", "kernel_id": "72686071"}, {"ref": "ahz002/tensorflow-roberta-0-705", "kernel_id": "73275044"}, {"ref": "pveluri/bert-llm-twitter-sentiment-extraction", "kernel_id": "75978436"}, {"ref": "mahshidbahari/tweet-sentiment-extraction-dl-01-30", "kernel_id": "75559577"}, {"ref": "niketanmoon/tweet-sentiment-extraction", "kernel_id": "77856591"}, {"ref": "xqwang1717/natural-language-processing-nlp-for-beginners", "kernel_id": "77784386"}, {"ref": "sahithkumarsangi/nlp-cheatsheet-master-nlp", "kernel_id": "79339864"}, {"ref": "codelizard/richa-bert-base-uncased-using-pytorch", "kernel_id": "80938024"}, {"ref": "nqtus2/learn-nlp", "kernel_id": "80002544"}, {"ref": "vyacheslavoschepkov/tweet-sentiment-extraction-c-hugging-face", "kernel_id": "80097614"}, {"ref": "ibrahimabdelsattar10/twitter-sentiment-analysisafc017ac07", "kernel_id": "81113027"}, {"ref": "faith701/finalproject-tweet-sentiment-extraction", "kernel_id": "82445628"}, {"ref": "shachafemanoel/notebookf3338651de", "kernel_id": "83533599"}, {"ref": "ralphraout/bert-sentiment", "kernel_id": "85751116"}, {"ref": "rayvelg/sentiment-analysis-using-bi-directional-lstm", "kernel_id": "87578942"}, {"ref": "khalidyahya84/unsupervised-text-selection", "kernel_id": "89804287"}, {"ref": "alanmike/tweet-sentiment-extraction", "kernel_id": "90116648"}, {"ref": "sayedsalem/tweet-sentiment-extraction-using-distilbert-base", "kernel_id": "91245857"}, {"ref": "thaihien/notebook522d7f702f", "kernel_id": "94831428"}, {"ref": "thaihien/tk2-deep-learning", "kernel_id": "97858546"}, {"ref": "tranvannhan1911/tweet-sentiment-4-bilstm", "kernel_id": "97850415"}, {"ref": "artemkonukhov/tweet-sentiment-extraction", "kernel_id": "99701208"}, {"ref": "tanmayy29/fine-tuning-sentiment-analysis-using-roberta", "kernel_id": "99381045"}, {"ref": "evanolearyemenate/tweet-sentiment-fails-on-preprocessing", "kernel_id": "100582425"}, {"ref": "ajinga/notebookc06f84f5b8", "kernel_id": "102344800"}, {"ref": "handeharmankaya/sentiment-extraction-tweet", "kernel_id": "102699487"}, {"ref": "leziodio/notebook45f782813c", "kernel_id": "104610203"}, {"ref": "hussienwaleed/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "107156956"}, {"ref": "evgendvorkin/rule-based-sentiment-text-extractor", "kernel_id": "108157843"}, {"ref": "omarashraf312/notebookf0c697c5e4", "kernel_id": "108850411"}, {"ref": "ashmeet555/tweet-sentiment-extraction", "kernel_id": "108774798"}, {"ref": "ashmeet555/tweet-sentiment-extraction-2", "kernel_id": "108785948"}, {"ref": "kemaldemirba/tweet-sentiment-ml-vs-deeplearning", "kernel_id": "112389268"}, {"ref": "krishanusana19/twitter-sentiment-analysis", "kernel_id": "131887992"}, {"ref": "revananthony/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "135695851"}]}
{"competition_id": "16296", "kernels": []}
{"competition_id": "16297", "kernels": []}
{"competition_id": "16299", "kernels": []}
{"competition_id": "16300", "kernels": []}
{"competition_id": "16303", "kernels": []}
{"competition_id": "16311", "kernels": []}
{"competition_id": "16315", "kernels": []}
{"competition_id": "16317", "kernels": [{"ref": "jordanstarkey/tbdrl-money", "kernel_id": "6020755"}, {"ref": "jordanstarkey/tbdrl-money-copy", "kernel_id": "6063105"}, {"ref": "ahkerrigan/random-under-sampling-with-grade-only-prediction", "kernel_id": "6063148"}, {"ref": "bbissey/loandefault", "kernel_id": "6168297"}]}
{"competition_id": "16319", "kernels": []}
{"competition_id": "16337", "kernels": []}
{"competition_id": "16340", "kernels": []}
{"competition_id": "16345", "kernels": [{"ref": "tslsun/pre-test", "kernel_id": "6303644"}]}
{"competition_id": "16348", "kernels": []}
{"competition_id": "16351", "kernels": [{"ref": "antjefitzner/diabetes1", "kernel_id": "6016998"}]}
{"competition_id": "16361", "kernels": []}
{"competition_id": "16371", "kernels": [{"ref": "ucfaibot/core-fa19-nns", "kernel_id": "6039331"}]}
{"competition_id": "16375", "kernels": []}
{"competition_id": "16379", "kernels": [{"ref": "jowoen/hw-jo-won-p4", "kernel_id": "6572050"}, {"ref": "kjwdubu/hw-jiwonkim-2019-pr-midterm-imageclassification", "kernel_id": "6530202"}, {"ref": "namhyunho/hw-namhyunho", "kernel_id": "6579691"}, {"ref": "s2blue4687/hw-yonghochoi", "kernel_id": "6584783"}, {"ref": "youcheol95/hw-youcheol", "kernel_id": "6579729"}, {"ref": "antonio629/kernel49ccbe9320", "kernel_id": "6583013"}, {"ref": "antonio629/hw-nam-gyu", "kernel_id": "6584285"}, {"ref": "nhk9680/hw-namhun-kim", "kernel_id": "6581797"}, {"ref": "junghyunhwang/hw-junghyunhwang-p4", "kernel_id": "6570818"}, {"ref": "jaeung95/hw-jaeingjeong-p4", "kernel_id": "6583293"}, {"ref": "jaeung95/hw-jaeungjeong-p4", "kernel_id": "6583587"}, {"ref": "eksrud2587/hw-p4-dangyeong", "kernel_id": "6572748"}, {"ref": "sanh22/hw-sanhee-kang-image-classification", "kernel_id": "6525838"}, {"ref": "xown3197/hw-tae-joo-kim", "kernel_id": "6579778"}, {"ref": "baeksohyeon/hw-baek-sohyeon-p4", "kernel_id": "6585419"}, {"ref": "gysk97/hw-hyonayu-n4", "kernel_id": "6562225"}, {"ref": "daechanhan/dae-chan-han-p4", "kernel_id": "6579300"}, {"ref": "wsmin5925/hw4-seong-min-wi", "kernel_id": "6581912"}, {"ref": "phar14/hw-sung-bin", "kernel_id": "6604058"}]}
{"competition_id": "16385", "kernels": []}
{"competition_id": "16394", "kernels": [{"ref": "masumrumi/an-complete-analysis-of-kaggle-surveys-2017-2019", "kernel_id": "2102869"}, {"ref": "antgoldbloom/most-popular-data-science-ides", "kernel_id": "6632491"}, {"ref": "antgoldbloom/most-popular-machine-learning-frameworks", "kernel_id": "6664154"}, {"ref": "prabakaran0/nxtgen-awareness-on-data-science", "kernel_id": "6804404"}, {"ref": "dataraj/tools-and-tools", "kernel_id": "6804359"}, {"ref": "kailex/education-languages-and-salary", "kernel_id": "6590589"}, {"ref": "ofentswe/storytelling-with-qualification-on-data-scientists", "kernel_id": "6648804"}, {"ref": "mechallenge/understanding-data-science-work-beyond-designation", "kernel_id": "6845798"}, {"ref": "ambarish/guided-path-of-learning-ml-ds", "kernel_id": "6561604"}, {"ref": "js942106361/skill-sets-in-the-pre-pandas-and-pre-python-crowds", "kernel_id": "6822893"}, {"ref": "rohanrao/a-deep-learning-of-deep-learning", "kernel_id": "6673045"}, {"ref": "abdulwahabkabani/a-swot-analysis-of-the-world-of-data-science", "kernel_id": "6702782"}, {"ref": "kathakaliseth/state-of-data-science-in-2019-and-salary-it-offers", "kernel_id": "6705175"}, {"ref": "laxmsun/indian-juggernaut-in-waiting", "kernel_id": "6779773"}, {"ref": "sofiapignataro/time-travelling-with-kagglers-consumption-data", "kernel_id": "6853129"}, {"ref": "sofiapignataro/time-travelling-with-kagglers-consumption-data-rm", "kernel_id": "6871248"}, {"ref": "christinampoid/data-scientist-work-for-a-small-or-a-big-company", "kernel_id": "6588411"}, {"ref": "tsiaras/a-brief-profiling-of-data-professions", "kernel_id": "6828486"}, {"ref": "labdmitriy/kaggle-survey-2019-all-plots-2-lines-of-code", "kernel_id": "6650202"}, {"ref": "labdmitriy/kaggle-survey-2019-map-mini-dashboard-altair", "kernel_id": "6637582"}, {"ref": "karimouda/data-is-the-new-oil", "kernel_id": "6715160"}, {"ref": "robcamp/seasoned-enterprise-veterans", "kernel_id": "6589415"}, {"ref": "yokoono/ds-in-sea-are-there-enough-and-are-they-enough", "kernel_id": "6749683"}, {"ref": "balajisr/collective-voice-of-data-scientist", "kernel_id": "6653265"}, {"ref": "nissanthmittal/high-earning-data-science-professionals-in-india", "kernel_id": "6837430"}, {"ref": "veereshshringari/google-data-science-competency-and-salary", "kernel_id": "6738402"}, {"ref": "rehmanrafique/choosing-the-right-company", "kernel_id": "6832010"}, {"ref": "tentotheminus9/data-science-through-the-ages", "kernel_id": "6586111"}, {"ref": "nulldata/carving-out-the-automl-niche-from-kaggle-survey", "kernel_id": "6853976"}, {"ref": "kustin/more-than-a-fancy-job-title", "kernel_id": "6601407"}, {"ref": "parulpandey/geek-girls-rising-myth-or-reality", "kernel_id": "6559729"}, {"ref": "ranjeetjain3/aws-vs-gcp-vs-azure", "kernel_id": "6571684"}, {"ref": "ekhtiar/inspirations-for-your-kaggle-story", "kernel_id": "6573178"}, {"ref": "aerdem4/representation-learning-and-parallel-universes", "kernel_id": "6829005"}, {"ref": "crawford/data-engineers", "kernel_id": "6558916"}, {"ref": "farazrahman/most-engaged-countries-in-data-science", "kernel_id": "6587121"}, {"ref": "bijanf/2019kaggleml-dssurvey", "kernel_id": "6695910"}, {"ref": "gosh76/data-science-in-india", "kernel_id": "6836226"}, {"ref": "ireinstein/latin-america-salaries-and-other-stories", "kernel_id": "6844346"}, {"ref": "nehaboob/insights-into-the-nlp-community", "kernel_id": "6849190"}, {"ref": "code1110/looking-for-things-to-chat-in-kaggle-days-tokyo", "kernel_id": "6806011"}, {"ref": "rajamykaggle/ds-career-analysis-wrt-human-development-index", "kernel_id": "6763027"}, {"ref": "ashadrina/micro-and-corporations-from-ds-s-perspective", "kernel_id": "6625559"}, {"ref": "robikscube/5-findings-based-on-survey-response-time", "kernel_id": "6649059"}, {"ref": "juanmah/2019-survey-where-in-the-world", "kernel_id": "6652053"}, {"ref": "juanmah/2019-survey-where-in-the-world-interactive", "kernel_id": "6652054"}, {"ref": "juanmah/2019-survey-sankey-insights", "kernel_id": "6677602"}, {"ref": "juanmah/2019-survey-questions", "kernel_id": "6620109"}, {"ref": "juanmah/2019-survey-q-a-summary", "kernel_id": "6620110"}, {"ref": "tkubacka/a-story-told-through-a-heatmap", "kernel_id": "6855182"}, {"ref": "heena34/india-v-s-usa", "kernel_id": "6803410"}, {"ref": "purplejester/education-title-salary-how-are-they-related", "kernel_id": "6673108"}, {"ref": "jagannathrk/kaggle-ml-ds-survey-2019", "kernel_id": "6830170"}, {"ref": "artgor/a-look-at-russian-kagglers-over-time", "kernel_id": "6575517"}, {"ref": "artgor/a-look-at-cis-kagglers-over-time", "kernel_id": "6595576"}, {"ref": "makalaaneesh/perseverance", "kernel_id": "6645643"}, {"ref": "eraikako/q-a-for-aspiring-data-scientists-to-be-continued", "kernel_id": "6698790"}, {"ref": "orestxherija/the-status-of-ml-in-african-countries", "kernel_id": "6742614"}, {"ref": "bsteenwi/those-who-tell-the-stories-rule-the-world", "kernel_id": "6668093"}, {"ref": "clarice/african-youths-rising-us-please-take-a-seat", "kernel_id": "6600323"}, {"ref": "karnakarthoorpu/what-is-the-future-of-data-science", "kernel_id": "6830944"}, {"ref": "alexkeila/data-science-wars-episode-mmxix-youth-menace", "kernel_id": "6843020"}, {"ref": "piterfm/are-kagglers-want-questions-with-text-responses", "kernel_id": "6741807"}, {"ref": "piterfm/kaggle-ml-ds-survey-2019-who-are-kagglers", "kernel_id": "6558787"}, {"ref": "francescad/practical-model-evaluation-workshop-day-1", "kernel_id": "6876007"}, {"ref": "shramanap/kernelbcbcfb9208", "kernel_id": "6697084"}, {"ref": "jsalys/2019-kaggle-ml-ds-survey-all-q-sql-and-more", "kernel_id": "6658260"}, {"ref": "anuraglahon/ml-data-science-analysis", "kernel_id": "6590617"}, {"ref": "dineshzero/learning-earning-hiring-2019-survey-analysis", "kernel_id": "6662410"}, {"ref": "dineshzero/three-areas-of-survey", "kernel_id": "6685505"}, {"ref": "jatinbalodhi/tools-by-professionals", "kernel_id": "6605827"}, {"ref": "shreya2105/who-is-winning-college-degree-or-online-courses", "kernel_id": "6589647"}, {"ref": "lhavanya/kaggle-ml-ds-survey-goldenera-for-data-science", "kernel_id": "6654903"}, {"ref": "kabure/age-range-patterns-of-kagglers", "kernel_id": "6586152"}, {"ref": "grapestone5321/how-to-explore-the-2019-kaggle-survey-data", "kernel_id": "6618033"}, {"ref": "grapestone5321/vibrant-nigeria-data-science-nigeria-is-active", "kernel_id": "6584853"}, {"ref": "niyamatalmass/secrets-for-earning-high-salary-in-ds-ml-field", "kernel_id": "6569298"}, {"ref": "pradeepmuniasamy/ds-ml-young-minds-uprising", "kernel_id": "6592985"}, {"ref": "rtatman/rebeccaturner-data-prep-for-job-title-classification", "kernel_id": "6556975"}, {"ref": "rahullalu/2019-kaggle-ml-ds-survey-overview", "kernel_id": "6567191"}, {"ref": "dummyguycoder/trend-spotting-2019-kaggle-ml-ds-survey", "kernel_id": "6653358"}, {"ref": "rasyidstat/kaggler-r-users-around-the-world", "kernel_id": "6680452"}, {"ref": "rajeshcv/insights-into-use-of-ml-methods-in-organizations", "kernel_id": "6632973"}, {"ref": "donkeys/questions-and-answers", "kernel_id": "6587100"}, {"ref": "janetx/how-bachelor-degree-kagglers-ace-in-data-science", "kernel_id": "6591842"}, {"ref": "efehandanisman/state-of-turkish-and-rest-data-scientists", "kernel_id": "6587293"}, {"ref": "efehandanisman/la-cr-me-de-la-cr-me-how-to-make-6-figure-income", "kernel_id": "6714376"}, {"ref": "cedna198/comprehensive-understanding-of-females-in-ml-ds", "kernel_id": "6717806"}, {"ref": "returnofsputnik/have-you-heard-of-vim-or-emacs", "kernel_id": "6809545"}, {"ref": "don096/cloudonomics-usages-trends-in-cloud-computing", "kernel_id": "6639565"}, {"ref": "iacsddbda/gender-based-analysis", "kernel_id": "6616026"}, {"ref": "harveenchadha/the-ai-landscape-in-india-conversation-with-pm", "kernel_id": "6586616"}, {"ref": "taniaj/the-gap-between-rich-and-poor-in-the-ai-revolution", "kernel_id": "6810000"}, {"ref": "paultimothymooney/job-title-is-data-scientist-and-location-is-usa", "kernel_id": "6449598"}, {"ref": "paultimothymooney/every-response-to-every-question-no-data-filtering", "kernel_id": "6449664"}, {"ref": "paultimothymooney/how-to-explore-the-2019-kaggle-survey-data", "kernel_id": "6449414"}, {"ref": "mobasshir/geek-girls-rising-myth-or-reality", "kernel_id": "6611079"}, {"ref": "anshuls235/data-science-is-love", "kernel_id": "6678126"}, {"ref": "docxian/auto-ml-is-coming", "kernel_id": "6678498"}, {"ref": "docxian/ds-survey-2019-salary-evaluator", "kernel_id": "6576836"}, {"ref": "ananthu017/does-data-science-have-a-future", "kernel_id": "6670957"}, {"ref": "artvolgin/exploring-phd-community-with-network-analysis", "kernel_id": "6797854"}, {"ref": "vchulski/ml-ds-survey-2019-kaggler-s-education", "kernel_id": "6793319"}, {"ref": "thedatabeast/kaggle-ds-and-ml-survey-2019-data-cleaning", "kernel_id": "6564043"}, {"ref": "srbestha/kaggle-survey-2019-analysis", "kernel_id": "6632429"}, {"ref": "bidgoli/iran-israel-saudi-arabia", "kernel_id": "6628404"}, {"ref": "horsefield/skill-sets-requirement-for-the-data-scientist", "kernel_id": "6733968"}, {"ref": "kunaldakhane/comparison-of-indian-and-us-kagglers", "kernel_id": "6804399"}, {"ref": "nikitagrec/generate-text-interview", "kernel_id": "6761606"}, {"ref": "andresionek/is-there-any-job-out-there-kaggle-vs-glassdoor", "kernel_id": "6658752"}, {"ref": "madagasygirl/what-makes-the-choice-of-specialized-hardware", "kernel_id": "6626064"}, {"ref": "shivamb/spending-for-ms-in-data-science-worth-it", "kernel_id": "6560749"}, {"ref": "shahneelam/equality-is-not-an-option-it-is-a-choice", "kernel_id": "6613799"}, {"ref": "ibtesama/a-guide-for-aspiring-data-scientists", "kernel_id": "6594570"}, {"ref": "ryannanson/correlation-of-diversity-and-technology-trends", "kernel_id": "6599246"}, {"ref": "altprof/us-kaggle-survey-eda", "kernel_id": "6627162"}, {"ref": "altprof/slow-and-steady", "kernel_id": "6669535"}, {"ref": "maxvu12/data-scientists-vs-students", "kernel_id": "6715546"}, {"ref": "hamditarek/topic-modelling-lda-on-kaggle-survey-questions", "kernel_id": "6588545"}, {"ref": "sonmou/what-topics-from-where-to-learn-data-science", "kernel_id": "6768746"}, {"ref": "marioggil/kernel37f2746f77", "kernel_id": "6834802"}, {"ref": "eliud3/exploring-the-involvement-of-africans-in-ds-and-ml", "kernel_id": "6792132"}, {"ref": "strangemane/evolution-of-a-kaggler", "kernel_id": "6673160"}, {"ref": "delimixx/what-part-of-2019-has-changed", "kernel_id": "6631570"}, {"ref": "chikakotakigami/survey2019", "kernel_id": "6848459"}, {"ref": "lakshmipk/popular-cv-nlp-methods-find-more-in-the-field", "kernel_id": "6818401"}, {"ref": "knightwisdom/the-road-to-a-successful-career-in-ml-and-ds", "kernel_id": "6684495"}, {"ref": "knightwisdom/2019-indian-kagglers", "kernel_id": "6677304"}, {"ref": "knightwisdom/defining-a-machine-learning-model-incomplete", "kernel_id": "6669150"}, {"ref": "delafields/tinker-tailor-scientist-analyst", "kernel_id": "6625209"}, {"ref": "kaushal2896/2019-kaggle-ml-ds-survey-eda-deep-dive", "kernel_id": "6560939"}, {"ref": "bholaprasad/economic-inequality-good-bad-the-ugly-truths", "kernel_id": "6823014"}, {"ref": "nimisha21/2019-kaggle-ml-ds-survey", "kernel_id": "6609462"}, {"ref": "sid321axn/ml-ds-industry-deep-dive", "kernel_id": "6666029"}, {"ref": "deepak525/dss19-eda-visualization", "kernel_id": "6586095"}, {"ref": "janejh/interested-in-data-but-not-trained-in-university", "kernel_id": "6697330"}, {"ref": "theoviel/understanding-salaries-and-what-hides-behind-them", "kernel_id": "6565265"}, {"ref": "ladanova/companies-and-who-works-in-them", "kernel_id": "6795756"}, {"ref": "laiyipeng/data-science-in-developing-countries", "kernel_id": "6718958"}, {"ref": "michau96/kagglers-continent-battle-2019", "kernel_id": "6562474"}, {"ref": "stephkua/is-it-hard-to-become-a-data-scientist", "kernel_id": "6817893"}, {"ref": "kool777/indian-kagglers", "kernel_id": "6655367"}, {"ref": "felipefonte99/china-vs-usa-ai-war", "kernel_id": "6614177"}, {"ref": "fatihbilgin/2019-data-science-trends", "kernel_id": "6783846"}, {"ref": "shrinitha1/kernel4d98b15478", "kernel_id": "6813217"}, {"ref": "kaitai0820/big-co-or-small-startup-which-for-ds-to-choose", "kernel_id": "6831785"}, {"ref": "jaredsavage/interesting-point-on-user-numbers", "kernel_id": "6612172"}, {"ref": "shivashi11/why-india-on-rise", "kernel_id": "6963310"}, {"ref": "atsareva/women-from-russia-in-kaggle", "kernel_id": "6623862"}, {"ref": "fchmiel/who-will-your-analytics-story-be-about", "kernel_id": "6601293"}, {"ref": "fchmiel/brexit-bash-an-eu-vs-uk-analysis", "kernel_id": "6572343"}, {"ref": "fhzhao/media-choices-and-machine-learning-tools-usage", "kernel_id": "6824497"}, {"ref": "jonsyu/2019-is-the-year-to-destroy-the-patriarchy", "kernel_id": "6855936"}, {"ref": "dougtrajano/kaggle-2019-survey", "kernel_id": "6564233"}, {"ref": "xenohunter/strange-drop-in-the-number-of-us-kagglers", "kernel_id": "6698905"}, {"ref": "aldrickpaul/please-mind-the-gender-pay-gap", "kernel_id": "6565866"}, {"ref": "sr123sud12345/kernel40c2e00965", "kernel_id": "6852071"}, {"ref": "subinium/the-hitchhiker-s-guide-to-the-kaggle", "kernel_id": "6572514"}, {"ref": "isharam/toolkit-to-unlock-insights", "kernel_id": "6815331"}, {"ref": "sagau5999/data-science-in-canada", "kernel_id": "6725642"}, {"ref": "datasciencecat/data-science-uk-scene", "kernel_id": "6835845"}, {"ref": "ryunosukeishizaki/eda-visualization-2017-2019-kaggle-survey", "kernel_id": "6560970"}, {"ref": "tapaskd123/notebook-for-submission", "kernel_id": "6849390"}, {"ref": "marinan67/kernel-questions2", "kernel_id": "6817364"}, {"ref": "softhints/a-short-history-of-the-data-science", "kernel_id": "6678605"}, {"ref": "ramanchandra/young-indians-rocking-kaggle-survey", "kernel_id": "6566293"}, {"ref": "dinesh1627/india-vs-usa-kaggle-2019-survey", "kernel_id": "6855614"}, {"ref": "shwethamalnad/kaggle-eda", "kernel_id": "6773288"}, {"ref": "masoudmzb/iran-turkey-kagglers", "kernel_id": "6810037"}, {"ref": "etsc9287/python-vs-r-the-data-science-rivalry", "kernel_id": "6607566"}, {"ref": "srinwaynti/insight-of-india-population-in-data-science-field", "kernel_id": "6839202"}, {"ref": "gorewa/women-in-ds", "kernel_id": "6853313"}, {"ref": "dsbrillantes/data-science-without-borders", "kernel_id": "6795347"}, {"ref": "excellentprecious/how-to-explore-the-2019-kaggle-survey-data", "kernel_id": "6685824"}, {"ref": "billynguyen/survey-descriptive-analysis-full-34-questions", "kernel_id": "6582876"}, {"ref": "neotokio/macro-outlook-past-kaggle-survey-exploration", "kernel_id": "6843673"}, {"ref": "zinovadr/data-scientist-the-new-migration-profession-2019", "kernel_id": "6818310"}, {"ref": "mpwolke/we-re-all-kaggle-users", "kernel_id": "6623381"}, {"ref": "yusnardo/motivation-for-asean-data-enthusiast", "kernel_id": "6667392"}, {"ref": "saahmathworks/comparing-groups-for-statistical-differences", "kernel_id": "6595267"}, {"ref": "rotemgb/money-talks-gender-disparities-in-tech", "kernel_id": "6688089"}, {"ref": "s106061538/the-path-into-data-science-career", "kernel_id": "6838055"}, {"ref": "michaelkpotter/what-can-a-real-market-researcher-do-with-this", "kernel_id": "6843270"}, {"ref": "muazmaz/pakistan-s-rising-data-science-community", "kernel_id": "6842344"}, {"ref": "karvalo/kaggle-2019-survey-eda", "kernel_id": "6558472"}, {"ref": "karvalo/geo-analysis-of-kaggle-survey-2019-using-tableau", "kernel_id": "6563705"}, {"ref": "hamkamn90/an-essential-foundation-to-build-smart-nation", "kernel_id": "6772215"}, {"ref": "kushbhatnagar/india-s-untold-data-science-story", "kernel_id": "6644903"}, {"ref": "vijayapurani/kaggle-survey-2019", "kernel_id": "6851319"}, {"ref": "ezzaldin6/kaggle-survey-data-analysis", "kernel_id": "6654693"}, {"ref": "viswanathanc/overview-of-datascience-2019", "kernel_id": "6799268"}, {"ref": "abhijitd16/kaggle-survey-analysis-2018-vs-2019", "kernel_id": "6656433"}, {"ref": "lianakovalenko2019/how-to-use-shap-for-search-insides-in-data", "kernel_id": "6822726"}, {"ref": "cloudysky/kagglers-2019-how-experienced-are-we", "kernel_id": "6664142"}, {"ref": "shreyansh04/artificial-intelligence-and-data-science-in-india", "kernel_id": "6812961"}, {"ref": "sahib12/from-2018-to-2019-how-trends-have-changed", "kernel_id": "6653306"}, {"ref": "ceciliagil/my-first-public-notebook", "kernel_id": "6762920"}, {"ref": "franciscoescobar/2019-kaggle-ml-ds-survey", "kernel_id": "6586001"}, {"ref": "azhura/2019-survey-who-is-working-with-data", "kernel_id": "6597391"}, {"ref": "muzamil00231/graduates-and-none-both-have-same-opportunities", "kernel_id": "6814458"}, {"ref": "caesarlupum/digital-exclusion-in-brazilian-society", "kernel_id": "6685474"}, {"ref": "allyqin/glance-of-people-working-in-data-science-domain", "kernel_id": "6814994"}, {"ref": "scivini/when-our-models-to-go-production", "kernel_id": "6834236"}, {"ref": "geninhu/direction-toward-a-great-data-scientist", "kernel_id": "6703010"}, {"ref": "tarunkoutharapu/how-data-science-trending", "kernel_id": "6653079"}, {"ref": "sbastuff/kaggle-survey-2k19-story", "kernel_id": "6849876"}, {"ref": "s13658695/worldwide-data-science", "kernel_id": "6802549"}, {"ref": "kannanaikkal/does-data-science-empower-women-in-the-it-industry", "kernel_id": "6845577"}, {"ref": "sakthiks799/how-to-explore-the-2019-kaggle-survey-data", "kernel_id": "6705207"}, {"ref": "mpanfil/aspiring-data-scientist-guide-tools-products", "kernel_id": "6659831"}, {"ref": "dulapalli1910/kagglesurverypd", "kernel_id": "6568171"}, {"ref": "wyl4417/machine-learning-and-how-it-affects-you", "kernel_id": "6854364"}, {"ref": "iamleonie/japan-country-of-the-rising-women", "kernel_id": "6691968"}, {"ref": "hs999518/data-analysis", "kernel_id": "6978592"}, {"ref": "tracyyp0126/a-peek-into-artificial-intelligence-in-australasia", "kernel_id": "6623272"}, {"ref": "maximemarteau/a-student-who-wanted-to-work-as-data-scientist", "kernel_id": "6655814"}, {"ref": "aysheabdelhafez/a-complete-story-for-youth-kaggler-in-2019", "kernel_id": "6735654"}, {"ref": "rodriguekongnend/2019-ml-ds-survey", "kernel_id": "6768840"}, {"ref": "patrickprioletti/for-aspiring-data-scientists-where-to-start", "kernel_id": "6589287"}, {"ref": "laurakah/battleofthegiants", "kernel_id": "6820939"}, {"ref": "anthonyakinsida/hello-world-meet-the-middle-aged-data-scientists", "kernel_id": "6806279"}, {"ref": "hafizalie/what-is-it-like-to-be-a-data-scientist", "kernel_id": "6718894"}, {"ref": "destawubishet/kernel8f6942559a", "kernel_id": "6837856"}, {"ref": "christopherdzuwa/silicon-savannah", "kernel_id": "6736115"}, {"ref": "davekillough/helping-small-charities-thrive", "kernel_id": "6631010"}, {"ref": "shaunshibu/am-ai-on-the-right-path-towards-ai", "kernel_id": "6818399"}, {"ref": "lisawe/the-gender-gap-in-tech", "kernel_id": "6711611"}, {"ref": "sudhanaruna/recognizing-small-group-of-contributors", "kernel_id": "6666649"}, {"ref": "sangyunkang/2019-kaggle-ml-ds-survey-analysis", "kernel_id": "6857238"}, {"ref": "eddiekirkland/increasing-kaggle-revenue", "kernel_id": "6800952"}, {"ref": "paliashuk/child-mortality-data-science-and-short-stories", "kernel_id": "6855227"}, {"ref": "alanasri/ds-survey-who-what-product-is-dominant", "kernel_id": "6844865"}, {"ref": "marynagasanova/companies-of-different-sizes-what-they-are", "kernel_id": "6842834"}, {"ref": "mcmtrnt/top-paid-data-science-skills", "kernel_id": "6689767"}, {"ref": "arjumandfatima/from-unknown-unknowns-to-known-unknown", "kernel_id": "6853614"}, {"ref": "markoslijepcevic/ict-for-development", "kernel_id": "6851588"}, {"ref": "prabakaran0/nxtgen-awareness-on-data-science-v1", "kernel_id": "7112361"}, {"ref": "prabakaran0/nxtgen-awareness-on-data-science-vv", "kernel_id": "7076417"}, {"ref": "ubajakacj/kaggle-survey-2019", "kernel_id": "7713277"}, {"ref": "aashishbidap/data-analysis-ds-ml-survey-2019", "kernel_id": "7327813"}, {"ref": "andresionek/how-to-create-award-winning-data-visualizations", "kernel_id": "7007213"}, {"ref": "chitreshkr/eda-of-2019-kaggle-ml-ds-survey", "kernel_id": "7264412"}, {"ref": "vbmokin/ukrainian-top-kagglers-and-analytics-2017-2019", "kernel_id": "7002887"}, {"ref": "ravijoe/preprocessing-and-visualizations", "kernel_id": "7706962"}, {"ref": "joycechidi/here-s-what-we-know-about-canadian-data-scientists", "kernel_id": "7612606"}, {"ref": "maswath89/2019-kaggle-ml-ds-survey-analysis", "kernel_id": "7321591"}, {"ref": "tusharagrawal2/kernel46ec475340", "kernel_id": "7331399"}, {"ref": "subhomajumder/guided-path-of-learning-ml-ds", "kernel_id": "7369610"}, {"ref": "golion/comparison-of-survey-2018-and-2019", "kernel_id": "9501057"}, {"ref": "wangzhuwei19961016/china-analysis", "kernel_id": "9583011"}, {"ref": "mohammadariyan/data-science-2017-survey", "kernel_id": "9236431"}, {"ref": "nxrprime/analyzing-ctds-with-d3-js", "kernel_id": "10378960"}, {"ref": "nguyenhads/state-of-data-science-in-the-us-japan-and-vietnam", "kernel_id": "10767934"}, {"ref": "kasimecer/kaggle-survey-data-turkey", "kernel_id": "10284346"}, {"ref": "mpwolke/steady-slow-swot-2019", "kernel_id": "11087270"}, {"ref": "iamleonie/trends-in-2020-with-advice-from-top-kagglers", "kernel_id": "11713528"}, {"ref": "mittalgarima/patterns-and-clusters-in-2019-kaggle-ml-survey", "kernel_id": "11542124"}, {"ref": "rajathevar/understanding-salaries-and-what-hides-behind-them", "kernel_id": "12630679"}, {"ref": "arbazkhan971/indians-vs-world", "kernel_id": "12982978"}, {"ref": "vbmokin/kaggle-ml-ds-survey-world-and-ua-2017-2020", "kernel_id": "12984106"}, {"ref": "andradaolteanu/treasure-hunt-what-gives-to-be-really-good", "kernel_id": "12780142"}, {"ref": "maksymshkliarevskyi/kaggle-ml-ds-survey-relations-change-in-time", "kernel_id": "12981515"}, {"ref": "vivovinco/a-look-at-turkish-kagglers-over-time", "kernel_id": "12149049"}, {"ref": "pattudor/trends-in-the-roles-of-kagglers-2017-2020", "kernel_id": "13109854"}, {"ref": "harisyammnv/kaggle-survey-using-pyecharts", "kernel_id": "13354260"}, {"ref": "mmulchandani/r-prevalence-in-india-vis-a-vis-python", "kernel_id": "13854448"}, {"ref": "anujmenta/simple-data-cleaning-for-multiple-column-data", "kernel_id": "13868049"}, {"ref": "anujmenta/how-cloud-y-is-data-science", "kernel_id": "13863963"}, {"ref": "parulpandey/the-emergence-of-automl", "kernel_id": "13006226"}, {"ref": "datahobbit/eda-of-kaggle-data-science-survey-2020-by-country", "kernel_id": "13723099"}, {"ref": "farazrahman/kagglers-from-africa-for-africa", "kernel_id": "13770321"}, {"ref": "imuhammad/we-are-the-99-who-are-the-1", "kernel_id": "13083863"}, {"ref": "dhimananubhav/4-years-of-data-scientist-s-survey-in-germany", "kernel_id": "13019800"}, {"ref": "dianarusu/handling-ml-methods-kaggle-2020-survey", "kernel_id": "13265949"}, {"ref": "efehandanisman/which-kagglers-earn-more-than-average-citizens", "kernel_id": "13037403"}, {"ref": "harveenchadha/how-is-india-doing-in-ai-the-nation-wants-to-know", "kernel_id": "13181341"}, {"ref": "harveenchadha/merging-all-historical-survey-data-2017-2020", "kernel_id": "13402746"}, {"ref": "nitishabharathi/data-science-in-the-cloud-who-wins-the-cloud-war", "kernel_id": "13597958"}, {"ref": "ananthu017/is-data-science-still-in-demand", "kernel_id": "13109155"}, {"ref": "thedatabeast/the-rise-of-data-science-interest-in-india", "kernel_id": "13493044"}, {"ref": "andresionek/one-chart-many-answers-kaggle-surveys-in-slopes", "kernel_id": "13860086"}, {"ref": "chekoduadarsh/get-a-job-in-data-science-eda", "kernel_id": "13324610"}, {"ref": "madagasygirl/machine-learning-usage-by-research-scientists", "kernel_id": "13941028"}, {"ref": "dinasinclair/hot-trends-in-beginner-programming", "kernel_id": "13352838"}, {"ref": "sonmou/more-female-statisticians-than-males-code-trends", "kernel_id": "13379772"}, {"ref": "tusharkale/the-emergence-rise-of-automated-machine-learning", "kernel_id": "13884618"}, {"ref": "kathca/baby-boomers-of-kaggle", "kernel_id": "13855762"}, {"ref": "aagghh/animated-plots-and-kaggle-surveys", "kernel_id": "13793600"}, {"ref": "haakakak/tools-of-the-trade-a-short-history", "kernel_id": "13973413"}, {"ref": "haakakak/the-kaggler-s-toolkit-over-time", "kernel_id": "13311743"}, {"ref": "chandramanaha/kyc-know-your-community", "kernel_id": "13003498"}, {"ref": "neomatrix369/kaggle-machine-learning-data-science-data-prep", "kernel_id": "13948248"}, {"ref": "intandea/profiling-world-s-current-data-practitioners", "kernel_id": "13742775"}, {"ref": "intandea/so-you-want-to-work-with-data", "kernel_id": "13588491"}, {"ref": "mohitksharma/which-country-is-leading-the-data-science-race", "kernel_id": "13086153"}, {"ref": "drcapa/kaggle-ml-ds-survey-2017-2020-eda", "kernel_id": "13289181"}, {"ref": "hyunkic/south-korea-home-to-samsung-but-few-ai-experts", "kernel_id": "13933598"}, {"ref": "kavisekar/trust-the-magic-of-new-beginning", "kernel_id": "13305025"}, {"ref": "kavisekar/trust-the-magic-of-new-beginning-updated", "kernel_id": "13527448"}, {"ref": "monibalint/programmer-or-data-professional-what-comes-first", "kernel_id": "13411826"}, {"ref": "krishna1997gopal/do-you-feel-data-science-is-growing-2019-2020", "kernel_id": "13468825"}, {"ref": "zhandosainabek/university-degree-necessary-in-data-science", "kernel_id": "13977716"}, {"ref": "carloseduardosilvabh/kaggle-2020-ml-survey-analysis", "kernel_id": "13065692"}, {"ref": "zainahmad/data-science-in-india-part-2", "kernel_id": "13719253"}, {"ref": "zainahmad/data-science-in-india-part-1", "kernel_id": "13168946"}, {"ref": "baiyanren/how-about-working-with-data-after-completing-phd", "kernel_id": "13234715"}, {"ref": "hongsean/2020-kaggle-survey-global-vs-korea", "kernel_id": "13465337"}, {"ref": "aduaanuoluwapo/generational-impacts-in-ds-and-ml", "kernel_id": "13836785"}, {"ref": "padmanabhabanerjee/know-your-fellow-kagglers-2020-survey", "kernel_id": "13076931"}, {"ref": "orhankaramancode/interactive-visualization-of-ds-community-in-2020", "kernel_id": "13148167"}, {"ref": "julianusugaortiz/what-makes-you-use-the-technologies-you-use", "kernel_id": "13383513"}, {"ref": "raunakingcoder/today-the-underdogs-tomorrow-the-challengers", "kernel_id": "13229624"}, {"ref": "adityajha1504/kaggle-vs-colab-clash-of-brothers", "kernel_id": "13084014"}, {"ref": "japandata509/data-visualization-about-japanese-kagglers", "kernel_id": "13507198"}, {"ref": "ruichenyang/kaggle-survey-is-biased-but-what-we-learned", "kernel_id": "13608180"}, {"ref": "alexanderkhachikyan/amazing-adventure", "kernel_id": "13784031"}, {"ref": "kingabzpro/university-degree-necessary-in-data-science", "kernel_id": "13099740"}, {"ref": "sootersaalu/a-rising-tide-ds-and-ml-in-nigeria", "kernel_id": "13762805"}, {"ref": "brettlines/kaggle-ml-survey-2017-20-kyc-know-your-community", "kernel_id": "13529555"}, {"ref": "jazzyquark/animated-plots-and-kaggle-surveys", "kernel_id": "13799982"}, {"ref": "amnfirst/demographics-shift-in-kaggle-s-ds-community", "kernel_id": "14068210"}, {"ref": "shubham01/kaggle-survey-2020-covid-impact", "kernel_id": "14009902"}, {"ref": "unfinishedtales/the-chronicles-of-kaggle-survey", "kernel_id": "14054580"}, {"ref": "mhajabri/ml-and-kaggle-a-hardware-lottery", "kernel_id": "14055734"}, {"ref": "atinakarim/the-differences-between-various-data-roles", "kernel_id": "14040287"}, {"ref": "neomatrix369/kaggle-global-outreach-analysis", "kernel_id": "14030875"}, {"ref": "dazzpool/tenantless-time", "kernel_id": "14025631"}, {"ref": "christopherdzuwa/data-science-usage-in-africa", "kernel_id": "14067214"}, {"ref": "juandavidrincon/colombian-journey-through-data-science", "kernel_id": "14069878"}, {"ref": "janinekadar/who-excels-on-kaggle", "kernel_id": "14005098"}, {"ref": "jazzyquark/2020-kaggle-story-analysis", "kernel_id": "14065677"}, {"ref": "maraneane/data-science-usage-in-africa", "kernel_id": "19319462"}, {"ref": "steubk/kaggle-survey-2021-historical-snapshot", "kernel_id": "21250978"}, {"ref": "kesamet/2018-21-kaggle-ml-ds-survey", "kernel_id": "21360147"}, {"ref": "katokev/2021-kaggle-machine-learning-data-science-survey", "kernel_id": "21342451"}, {"ref": "clarice/is-egypt-the-emerging-techhub-in-africa", "kernel_id": "21381505"}, {"ref": "j2hoon85/plotly-tutorial-for-kaggle-survey-competitions", "kernel_id": "21873134"}, {"ref": "ashkash/simple-across-the-board-perspective-of-kaggle-net", "kernel_id": "21714889"}, {"ref": "katiej277/the-worsening-gender-pay-gap-in-data-science", "kernel_id": "21321781"}, {"ref": "paultimothymooney/2021-survey-data-scientists-in-india", "kernel_id": "21234031"}, {"ref": "paultimothymooney/2021-survey-data-scientists-in-the-usa", "kernel_id": "21234033"}, {"ref": "paultimothymooney/2021-survey-job-title-data-scientist", "kernel_id": "21234034"}, {"ref": "paultimothymooney/2021-kaggle-data-science-machine-learning-survey", "kernel_id": "21234035"}, {"ref": "shivamb/data-science-in-2021-adaptation-or-adoption", "kernel_id": "21253434"}, {"ref": "delafields/let-s-make-some-money-survey-2021", "kernel_id": "21722545"}, {"ref": "samir95/the-state-of-data-science-in-egypt", "kernel_id": "21729140"}, {"ref": "michau96/kaggle-s-popularity-in-your-country", "kernel_id": "21669704"}, {"ref": "yenbaeny/startups-or-big-companies", "kernel_id": "21483274"}, {"ref": "harshjhunjhunwala/comparative-dive-into-kaggle-users-india-vs-us", "kernel_id": "21478878"}, {"ref": "drcapa/kaggle-ds-survey-2017-2021-eda", "kernel_id": "21273523"}, {"ref": "hyunkic/2021-kaggle-data-science-machine-learning-survey", "kernel_id": "21877310"}, {"ref": "tulasiram574/kaggle-s-annual-machine-learning-and-data-science", "kernel_id": "21430685"}, {"ref": "iamleonie/head-in-the-clouds", "kernel_id": "21263850"}, {"ref": "duyguatasever/kaggle-survey-turkey-vs-world", "kernel_id": "21318091"}, {"ref": "mohammedshammeer/kaggle-professionals", "kernel_id": "21301114"}, {"ref": "maksymshkliarevskyi/kaggle-survey-2017-2021-main-insights-r", "kernel_id": "21807847"}, {"ref": "mkirankumar/2021-kaggle-machine-learning-data-science-survey", "kernel_id": "21581890"}, {"ref": "hiroshiotagaki/r-and-python", "kernel_id": "21735956"}, {"ref": "foolofatook/plumbers-of-data-science", "kernel_id": "21350408"}, {"ref": "desalegngeb/how-popular-is-kaggle-in-africa", "kernel_id": "21238339"}, {"ref": "danielebaldoni/kaggle-survey-italy", "kernel_id": "21237325"}, {"ref": "muhammadsabih56/ml-ds-trends-in-any-country-vs-rest-of-the-world", "kernel_id": "21432828"}, {"ref": "wildbenji/historic-view-graph-generator-widget-group-options", "kernel_id": "21720533"}, {"ref": "flaviocavalcante/analysis-of-the-last-3-kaggle-surveys", "kernel_id": "21360518"}, {"ref": "mohamedbakrey/statistics-of-kaggle-users-in-asia", "kernel_id": "21666220"}, {"ref": "dmitryuarov/data-science-life-2018-2021-eda", "kernel_id": "21343505"}, {"ref": "kishalmandal/kaggle-2021-india-vs-usa-comparative-study", "kernel_id": "21294099"}, {"ref": "gaganmaahi224/story-telling-kaggle-survey-2019-2021", "kernel_id": "21735769"}, {"ref": "renokan/kaggle-survey-2021-20-age-before-after-30-year", "kernel_id": "21854371"}, {"ref": "renokan/kaggle-survey-2018-2021-create-one-clean-dataset", "kernel_id": "21949075"}, {"ref": "renokan/kaggle-survey-2021-20-automatic-load-and-check", "kernel_id": "21791045"}, {"ref": "adeayosotayo/2021-kaggle-survey-a-focus-on-nigerian-kagglers", "kernel_id": "21972515"}, {"ref": "k589k589/kaggle-survey-taiwan", "kernel_id": "21365237"}, {"ref": "mostafaalaa123/how-age-affects-in-data-science", "kernel_id": "21709262"}, {"ref": "ankitmhaske/memoir-of-a-toddler-machine-learning-survey", "kernel_id": "21780305"}, {"ref": "lynnxy/a-deep-dive-into-the-kaggle-survey-from-2017-2021", "kernel_id": "21442064"}, {"ref": "djvivekj/kaggle-2021-community-bias-finding-most-popular", "kernel_id": "22268379"}, {"ref": "nitishabharathi/not-ai-hype-cycle-2021-kaggle-version", "kernel_id": "22143615"}, {"ref": "hyunkic/mlvsdl", "kernel_id": "22011243"}, {"ref": "hasanbasriakcay/difference-between-500-225-000-income-in-ds", "kernel_id": "22324602"}, {"ref": "anthonyakinsida/the-diversity-issue-in-data-science", "kernel_id": "22295585"}, {"ref": "christopherdzuwa/ai-is-the-future-but-where-are-women", "kernel_id": "22373866"}, {"ref": "katemelianova/early-career-kagglers-and-skills-development", "kernel_id": "22275253"}, {"ref": "howoojang/data-science-the-next-battle-ground", "kernel_id": "22299350"}, {"ref": "ejunichi/kaggle-survey-seen-from-the-outside", "kernel_id": "22373805"}, {"ref": "apachefranklin/kaggle-survey-2019-2020-2021", "kernel_id": "22275806"}, {"ref": "mohitludhiyani/two-kingdoms-one-prophecy", "kernel_id": "22376133"}, {"ref": "gavisr/it-s-a-man-s-world-in-the-uk", "kernel_id": "22248075"}, {"ref": "danielanewton/interestingtimes", "kernel_id": "22211187"}, {"ref": "welcomehere/kaggle-nigerians-in-data-science", "kernel_id": "22064538"}, {"ref": "kiranclement/eda-4-usa-and-cloud", "kernel_id": "22220726"}, {"ref": "carodias/data-heroines-saving-the-world-through-data", "kernel_id": "22317377"}, {"ref": "ahmedmsoliman/kaggle-survey", "kernel_id": "22122322"}, {"ref": "gaganmaahi224/marvel-theme-women-in-survey", "kernel_id": "22350378"}, {"ref": "hassanshahin/egyptian-endeavour-moment-of-truth", "kernel_id": "22211450"}, {"ref": "renokan/kaggle-survey-2018-2021-columns-diff-in-datasets", "kernel_id": "22067078"}, {"ref": "ishitabhatt/plotly-tutorial-for-kaggle-survey-competitions", "kernel_id": "22107597"}, {"ref": "sarahmashhood/the-success-story-compete-win-with-kaggle-data", "kernel_id": "22183740"}, {"ref": "aschamp/the-market-the-story-of-data-science-products", "kernel_id": "22371004"}, {"ref": "shubhamoulkar/time-is-a-mysterious-variable", "kernel_id": "22375467"}, {"ref": "zhuang58/tool-network-analysis-and-global-distribution", "kernel_id": "22324506"}, {"ref": "kwdoku145/the-latest-trends-in-east-asia-japan-and-china", "kernel_id": "22125530"}, {"ref": "yoonhwayam/newbies-as-a-data-scientist-in-east-asia", "kernel_id": "22252180"}, {"ref": "leeeyuuunjiii/notebook18e912220a", "kernel_id": "22077808"}, {"ref": "leeeyuuunjiii/notebookb65632169a", "kernel_id": "22041168"}, {"ref": "ezzaldin6/a-quick-look-at-2021-kaggle-survey", "kernel_id": "23928182"}, {"ref": "kamaljp/stories-of-kagglers-till-2021", "kernel_id": "23458206"}, {"ref": "kamaljp/stories-of-kagglers-2021-by-plotly", "kernel_id": "23720353"}, {"ref": "takahirokubo0/amazon-web-service-share-in-data-scientists", "kernel_id": "24238505"}, {"ref": "sibinthomas06/ml-ds-survey2021", "kernel_id": "24927275"}, {"ref": "j2hoon85/plotly-tutorial", "kernel_id": "25709992"}, {"ref": "nardtree/how-to-create-award-winning-data-visualizations", "kernel_id": "25687746"}, {"ref": "sleetet/plotly-tutorial", "kernel_id": "25710023"}, {"ref": "janessalim/pf1103-tutorial-2-group-4-project-1", "kernel_id": "25503319"}, {"ref": "blackjjw/plotly-tutotrial", "kernel_id": "25709994"}, {"ref": "kmk3593/plotly-tutorial", "kernel_id": "25710008"}, {"ref": "woobinhwang/plotly-tutorial", "kernel_id": "25709986"}, {"ref": "sirin1234/plotly-tutorial", "kernel_id": "25710000"}, {"ref": "yangseunghak/plotly-tutorial", "kernel_id": "25710005"}, {"ref": "rlalastjd782/plotly-tutorial", "kernel_id": "25709999"}, {"ref": "jeha100/plotly-tutorial-m", "kernel_id": "25709995"}, {"ref": "jiwonkng/plotly-tutorial", "kernel_id": "25709997"}, {"ref": "gayeongzero/plotly-tutorial", "kernel_id": "25709989"}, {"ref": "jiminkim00/plotly-tutorial", "kernel_id": "25709998"}, {"ref": "seyeon0815/potly-tutorial", "kernel_id": "25710012"}, {"ref": "seungeun5/plotly-tutorial", "kernel_id": "25709990"}, {"ref": "taehyeon0915/plotly-tutorial", "kernel_id": "25710006"}, {"ref": "wintersadh/numpy-tutorial", "kernel_id": "25709993"}, {"ref": "holfyuen/kaggle-survey-2017-2022", "kernel_id": "26531102"}, {"ref": "paultimothymooney/2021-survey-job-title-research-scientist", "kernel_id": "27223272"}, {"ref": "paultimothymooney/2021-survey-job-title-student", "kernel_id": "28541431"}, {"ref": "fajrikusuma/kaggle-survey-2019-2021-indonesia", "kernel_id": "29959796"}, {"ref": "paultimothymooney/kaggle-survey-2022-job-title-data-scientist", "kernel_id": "30964786"}, {"ref": "paultimothymooney/kaggle-survey-2022-all-results", "kernel_id": "30966266"}, {"ref": "paultimothymooney/kaggle-survey-2022-data-scientists-in-the-usa", "kernel_id": "30987895"}, {"ref": "satoshiss/making-data-for-tps-sep", "kernel_id": "30077868"}, {"ref": "steubk/kaggle-survey-2022-historical-snapshot", "kernel_id": "31130751"}, {"ref": "robikscube/2022-kaggle-survey-results-twitch-stream", "kernel_id": "31676096"}, {"ref": "siddhantsadangi/usage-of-experiment-management-tools-2020-2022", "kernel_id": "31130539"}, {"ref": "loredanagheorghe/zoom-on-gender-in-the-kaggle-world", "kernel_id": "31831994"}, {"ref": "samuelgyamfi/how-are-people-getting-into-kaggle", "kernel_id": "31650396"}, {"ref": "vinitshah0110/data-science-survey-insights-yoy-trend", "kernel_id": "31320918"}, {"ref": "ahmedhammad01/data-science-the-cloud-2020-2022", "kernel_id": "31120164"}, {"ref": "danielanewton/notebook-uncertainty", "kernel_id": "31239409"}, {"ref": "sakshatrao/kaggle-survey-supporting-eda", "kernel_id": "31861907"}, {"ref": "mohamedbenmaiza/the-evolution-of-a-data-scientist", "kernel_id": "31573443"}, {"ref": "xxxxyyyy80008/covid-19-and-gender-equality", "kernel_id": "31290713"}, {"ref": "francescocolicino/once-upon-a-time-a-kaggle-survey", "kernel_id": "31358731"}, {"ref": "renokan/compare-column-names-answers-in-2022-2018", "kernel_id": "31726108"}, {"ref": "azisanw19/trends-ml-ds-2019-to-2022", "kernel_id": "31830799"}, {"ref": "amarnathaditya/kaggle-survey-eda-2022", "kernel_id": "31247905"}, {"ref": "leoth9/survey2022-basic-strategy-with-pandas-and-seaborn", "kernel_id": "31303359"}, {"ref": "sarangunasekaran/eda-analysis-skm-2022", "kernel_id": "31568378"}, {"ref": "tompaulat/survey-data-follow-the-money", "kernel_id": "31629745"}, {"ref": "nitishabharathi/the-need-for-mlops", "kernel_id": "32051086"}, {"ref": "bhanuchanderu/things-you-should-know-aout-2022-kaggle-ml-survey", "kernel_id": "32382541"}, {"ref": "goldens/women-in-kaggle-by-age-range", "kernel_id": "32678148"}, {"ref": "haakakak/a-brief-history-of-kagglers-through-time", "kernel_id": "32694617"}, {"ref": "mmakiuchi/how-is-japan-doing", "kernel_id": "32559332"}, {"ref": "cuysaurus/ks2022-free-and-repressed-countries", "kernel_id": "32686673"}, {"ref": "bagasadiwaskita/kaggle-survey-2022-ds-ml-in-indonesia", "kernel_id": "32685675"}, {"ref": "wouldyoujustfocus/ladies-lean-in", "kernel_id": "32419117"}, {"ref": "sc6354/women-entering-and-women-in-the-ds-field-2022", "kernel_id": "32340628"}, {"ref": "nghihuynh/kaggle-2022-cloud-racing-ethical-ai-rising", "kernel_id": "32412156"}, {"ref": "syedabdulhaseebds/kaggle-survey-discovering-patterns-in-data", "kernel_id": "32494055"}, {"ref": "pranav941/trail-through-law-of-the-jungle", "kernel_id": "32306491"}, {"ref": "pranav941/kaggle-survey-make-your-data-analysis-a-breeze", "kernel_id": "32903434"}, {"ref": "renokan/compare-raw-clean-data-answers-in-2022-2018", "kernel_id": "32193382"}, {"ref": "renokan/eda-2022-2018-country-name-years-analysis", "kernel_id": "32077669"}, {"ref": "renokan/what-happened-in-industries-2022-2018", "kernel_id": "32273790"}, {"ref": "adeayosotayo/data-science-in-the-uk", "kernel_id": "32240276"}, {"ref": "dsshrashetty/kagglesurvey2022dataanalysis", "kernel_id": "32751501"}, {"ref": "cjeanpierre/datum-sapiens", "kernel_id": "32293571"}, {"ref": "jubei7/meet-the-holy-trinity-data-sci-ml-in-2022", "kernel_id": "32900556"}, {"ref": "jubei7/ds-and-ml-in-2022-an-intersectional-analysis", "kernel_id": "32774674"}, {"ref": "madhurpant/india-on-the-rise", "kernel_id": "32644599"}, {"ref": "takahirokubo0/cloud-service-usage-among-data-scientists", "kernel_id": "33310205"}, {"ref": "trancuong59196/how-is-vietnam-doing", "kernel_id": "33940417"}, {"ref": "olgabelitskaya/kaggle-ml-datascience-survey-part-1", "kernel_id": "38859328"}, {"ref": "tianmin/kaggle-survey-dataset-long-format-2017-2022-wip", "kernel_id": "40628007"}, {"ref": "lainguyn123/a-story-told-through-a-heatmap", "kernel_id": "42583381"}, {"ref": "mpwolke/gemma-keras-on-kaggle-survey", "kernel_id": "55369684"}, {"ref": "lainguyn123/fork-of-head-in-the-clouds", "kernel_id": "64269390"}, {"ref": "sakshitingre/1062233308-sakshi-tingre", "kernel_id": "70706024"}, {"ref": "vbmokin/ukrainian-top-kagglers", "kernel_id": "72025188"}, {"ref": "lainguyn123/data-science-in-2021-adaptation-or-adoption", "kernel_id": "81972462"}, {"ref": "priyharshgangwar/competitive-constellations-kaggle-s-kernels", "kernel_id": "87424917"}, {"ref": "elgazzar5/2021-kaggle-data-science-machine-learning-survey", "kernel_id": "95123973"}, {"ref": "tkgdayo/motiondiffusionmodel", "kernel_id": "110624806"}]}
{"competition_id": "16396", "kernels": []}
{"competition_id": "16398", "kernels": []}
{"competition_id": "16404", "kernels": []}
{"competition_id": "16431", "kernels": [{"ref": "vivekgpt/nyc-taxi-fare", "kernel_id": "6719719"}]}
{"competition_id": "16432", "kernels": []}
{"competition_id": "16433", "kernels": [{"ref": "dodiya14/kernel1c9b598614", "kernel_id": "6638415"}]}
{"competition_id": "16435", "kernels": []}
{"competition_id": "16443", "kernels": []}
{"competition_id": "16451", "kernels": []}
{"competition_id": "16461", "kernels": [{"ref": "shreyapawaskar/kernel5cda1f9c38", "kernel_id": "6106454"}, {"ref": "aaditreejaisswal/kernel777764652c", "kernel_id": "6099081"}]}
{"competition_id": "16463", "kernels": []}
{"competition_id": "16469", "kernels": []}
{"competition_id": "16476", "kernels": []}
{"competition_id": "16504", "kernels": []}
{"competition_id": "16520", "kernels": []}
{"competition_id": "16529", "kernels": []}
{"competition_id": "16531", "kernels": [{"ref": "bamps53/kernel-random10", "kernel_id": "2925801"}, {"ref": "mpekalski/pandas-group-by-category-vs-object", "kernel_id": "6521196"}, {"ref": "lextoumbourou/dsb-2019-lstm-with-embeddings-fast-ai", "kernel_id": "6940971"}, {"ref": "lextoumbourou/dsb-2019-eda-and-data-preparation", "kernel_id": "6888337"}, {"ref": "morenoh149/autoviml-quickstart", "kernel_id": "6925179"}, {"ref": "ruhong/dsbowl19-preprocess", "kernel_id": "6687869"}, {"ref": "superant/minify-data", "kernel_id": "6429050"}, {"ref": "cpmpml/ultra-fast-qwk-calc-method", "kernel_id": "6385612"}, {"ref": "christoffer/event-descriptions-per-code-type-and-event-id", "kernel_id": "6821930"}, {"ref": "jiweiliu/qwk-cupy-vs-numpy-vs-numba", "kernel_id": "6391269"}, {"ref": "danofer/dsb-2019-data-minification", "kernel_id": "6416562"}, {"ref": "yassinealouini/median-benchmark-model", "kernel_id": "6520004"}, {"ref": "yassinealouini/simple-features-engineering", "kernel_id": "6841333"}, {"ref": "yassinealouini/accuracy-group-computation", "kernel_id": "6574399"}, {"ref": "zscansorted/2019-dsb-baseline", "kernel_id": "6486757"}, {"ref": "adarshchavakula/no-machine-learning-baseline", "kernel_id": "6410945"}, {"ref": "rookie4/ds-bowl-2019-fourth-cut", "kernel_id": "6460877"}, {"ref": "olafmat/leaderboard-score-confidence-interval", "kernel_id": "6661394"}, {"ref": "saurabh502/adversarial-validation-2019-data-science-bowl", "kernel_id": "6441928"}, {"ref": "subbuvolvosekar/eda-visualization-story-dsb-2019", "kernel_id": "6903580"}, {"ref": "statistician71/data-bowl-in-r-2019", "kernel_id": "6891562"}, {"ref": "amitush/data-science-bowl-2019-eda-and-model-phase-1", "kernel_id": "6973972"}, {"ref": "kenmatsu4/structure-of-event-data-for-each-title", "kernel_id": "6642062"}, {"ref": "chriscc/bo-tuned", "kernel_id": "6927614"}, {"ref": "onodera/skip-1st-run", "kernel_id": "6653401"}, {"ref": "onodera/confusion-matrix", "kernel_id": "6593113"}, {"ref": "akashram/introduction-to-boosting-models", "kernel_id": "6466044"}, {"ref": "hakeem/comparison-of-different-algorithms", "kernel_id": "6396750"}, {"ref": "hakeem/comparison-of-different-algorithms-v1-0", "kernel_id": "6406001"}, {"ref": "vadimmalykh/bowl2019-simple-baseline", "kernel_id": "6752453"}, {"ref": "gurinderdev/deep-dive-exploratory-data-analysis-part-1", "kernel_id": "6548645"}, {"ref": "manojprabhaakr/feature-engineering-and-model-890-features", "kernel_id": "6699003"}, {"ref": "ranjeetjain3/introduction-to-2019-dsb", "kernel_id": "6894166"}, {"ref": "djkaffe123/full-xgb", "kernel_id": "6927427"}, {"ref": "ekhtiar/let-s-quickly-learn-the-data", "kernel_id": "6376385"}, {"ref": "vsesham/measure-up", "kernel_id": "6505610"}, {"ref": "corochann/2019-data-science-bowl-exploratory-data-analysis", "kernel_id": "6392545"}, {"ref": "karunamay15/lightgbmmv1", "kernel_id": "6595037"}, {"ref": "keremt/fastai-feature-engineering-part1-6160-features", "kernel_id": "6955171"}, {"ref": "frenzykryger/event-specifications", "kernel_id": "6378913"}, {"ref": "rsesha/autoviz-on-900-variables-feature-selection", "kernel_id": "6950598"}, {"ref": "rsesha/2019-data-science-bowl-via-autoviml", "kernel_id": "6926407"}, {"ref": "robikscube/2019-data-science-bowl-an-introduction", "kernel_id": "6377855"}, {"ref": "hxshine/still-confused-about-the-label", "kernel_id": "6417739"}, {"ref": "jagannathrk/data-science-bowl-2019", "kernel_id": "6746734"}, {"ref": "jagannathrk/data-science-bowl-lgbm", "kernel_id": "6828209"}, {"ref": "creatrol/let-s-see-what-attributes-in-event-data", "kernel_id": "6436721"}, {"ref": "artgor/oop-approach-to-fe-and-models", "kernel_id": "6374298"}, {"ref": "artgor/quick-and-dirty-regression", "kernel_id": "6704283"}, {"ref": "zgzjnbzl/visualizing-distraction-and-misclicking", "kernel_id": "6699236"}, {"ref": "rishabhiitbhu/dsb-2019-simple-eda", "kernel_id": "6373803"}, {"ref": "gpreda/2019-data-science-bowl-eda", "kernel_id": "6482293"}, {"ref": "gpreda/data-science-bowl-fast-compact-solution", "kernel_id": "6397313"}, {"ref": "gpreda/data-science-bowl-2019-public-leaderboard", "kernel_id": "6593509"}, {"ref": "neibyr/target-encoding-public-kernel", "kernel_id": "6386990"}, {"ref": "pestipeti/simple-feature-selection-techniques", "kernel_id": "6700379"}, {"ref": "pestipeti/memory-efficient-faster-way-to-extract-json-data", "kernel_id": "6796410"}, {"ref": "carlossouza/cleaning-useless-data-to-load-train-csv-faster", "kernel_id": "6399567"}, {"ref": "afajohn/quadratic-weighted-kappa-with-numpy-flavor", "kernel_id": "6373660"}, {"ref": "zahaviguy/how-to-calculate-accuracy-group-with-event-data", "kernel_id": "6463482"}, {"ref": "seifollahi/a-quick-exploration-and-feature-engineering", "kernel_id": "6845129"}, {"ref": "seifollahi/kernel68005bf951", "kernel_id": "6950084"}, {"ref": "anuraglahon/datasciencebowl-introduction", "kernel_id": "6393076"}, {"ref": "takaishikawa/qwk-calc-method-comparison", "kernel_id": "6380129"}, {"ref": "shahules/xgboost-feature-selection-dsbowl", "kernel_id": "6381213"}, {"ref": "jaseziv83/dsb-a-rrrare-r-notebook-and-baseline-model", "kernel_id": "6423184"}, {"ref": "jakeshi/dsb-eda-naive-baseline", "kernel_id": "6690243"}, {"ref": "chandraroy/data-understanding-cautionary-tale-from-my-mistake", "kernel_id": "6595962"}, {"ref": "pradeepmuniasamy/data-science-bowl-tricks-for-uncovering-the-data", "kernel_id": "6382875"}, {"ref": "paulkoer/2019-dsb-eda-exploring-game-sessions", "kernel_id": "6810622"}, {"ref": "sp1thas/dsb2019-catboost-lgbm-blending", "kernel_id": "6577130"}, {"ref": "hukuda222/very-simple-benchmark", "kernel_id": "6373614"}, {"ref": "seriousran/2019-data-science-bowl-eda-v1", "kernel_id": "6380505"}, {"ref": "hengzheng/bayesian-optimization-optimizedrounder", "kernel_id": "6757782"}, {"ref": "hengzheng/890-feature-bayesian-optimization-params", "kernel_id": "6710487"}, {"ref": "hengzheng/bayesian-optimization-seed-blending", "kernel_id": "6769756"}, {"ref": "ragnar123/simple-exploratory-data-analysis-and-model", "kernel_id": "6387035"}, {"ref": "ragnar123/deeper-feature-engineering-fr", "kernel_id": "6444777"}, {"ref": "ragnar123/lgbm-feature-selection", "kernel_id": "6423430"}, {"ref": "ragnar123/feature-engineering-v-1-0", "kernel_id": "6543397"}, {"ref": "ragnar123/adversarial-validation-and-model", "kernel_id": "6895039"}, {"ref": "paklong/ann-in-tf2-with-kappa-loss-as-loss-function", "kernel_id": "6630493"}, {"ref": "shishu1421/naive-approach", "kernel_id": "6377270"}, {"ref": "shishu1421/lightgbm-using-hyperopt", "kernel_id": "6382592"}, {"ref": "harupy/base-line-without-model2", "kernel_id": "6415701"}, {"ref": "harupy/lazy-base-line-without-model", "kernel_id": "6406836"}, {"ref": "harupy/lgbm-regression-with-assessment-attempts-features", "kernel_id": "6852061"}, {"ref": "harupy/train-labels-reconstruction", "kernel_id": "6574081"}, {"ref": "harupy/pretty-print-json-column", "kernel_id": "6575309"}, {"ref": "harupy/joint-confusion-matrix-plot", "kernel_id": "6595598"}, {"ref": "erikbruin/data-science-bowl-2019-eda-and-baseline", "kernel_id": "6683668"}, {"ref": "plasticgrammer/dsb2019-eda", "kernel_id": "6425341"}, {"ref": "ab971631/dsb2019-baseline-for-feature-engineering", "kernel_id": "6472258"}, {"ref": "hidehisaarai1213/dsb2019-baseline", "kernel_id": "6559004"}, {"ref": "hidehisaarai1213/be-cautious-on-some-features", "kernel_id": "6655622"}, {"ref": "tanreinama/ds-bowl-2019-simple-lgbm-aggregated-data-with-cv", "kernel_id": "6382760"}, {"ref": "tenffe/eda-starter", "kernel_id": "6374587"}, {"ref": "aleksandradeis/2019-ds-bowl-eda", "kernel_id": "6443812"}, {"ref": "nikitagrec/bowl-best-fitting-stacking", "kernel_id": "6486853"}, {"ref": "nikitagrec/bowl-lstm-prediction", "kernel_id": "6470079"}, {"ref": "nikitagrec/pbs-kids-product-analysis-eda", "kernel_id": "6383787"}, {"ref": "jake126/data-reshaping-and-rudimentary-models", "kernel_id": "6979484"}, {"ref": "damienpark/baseline-dnn-first", "kernel_id": "6888799"}, {"ref": "damienpark/baseline-dnn", "kernel_id": "6621100"}, {"ref": "barnwellguy/submit-assessment-mean-rounded", "kernel_id": "6752184"}, {"ref": "lukaspumas/start-baseline-01", "kernel_id": "6955598"}, {"ref": "ankitbhowmick1989/bowl-2019-mechie", "kernel_id": "6543809"}, {"ref": "vvijaybabu/dsb-gbclassifier-basic-features", "kernel_id": "6393501"}, {"ref": "mhviraf/a-baseline-for-dsb-2019", "kernel_id": "6379042"}, {"ref": "mhviraf/a-new-baseline-for-dsb-2019-catboost-model", "kernel_id": "6391188"}, {"ref": "kmezhoud/the-faster", "kernel_id": "6528378"}, {"ref": "kmezhoud/accuracy-group-3-with-game-time-0", "kernel_id": "6527998"}, {"ref": "kmezhoud/json-to-data-table", "kernel_id": "6502832"}, {"ref": "kmezhoud/mixed-test-labels-xgboost", "kernel_id": "6606788"}, {"ref": "kmezhoud/how-to-reproduce-train-labels-for-test-labels", "kernel_id": "6543540"}, {"ref": "kmezhoud/submission-scoring-error", "kernel_id": "6679264"}, {"ref": "hamditarek/playing-with-score", "kernel_id": "6377883"}, {"ref": "vaibhavmathur96/best-lgbm-score-using-aggregated-data", "kernel_id": "6382680"}, {"ref": "huikang/pbs-dsb-complete-starter-code", "kernel_id": "6407610"}, {"ref": "huikang/pbs-dataframe", "kernel_id": "6397538"}, {"ref": "yasufuminakama/public-dsb2019-lgbm-regression-sample", "kernel_id": "6421564"}, {"ref": "irfan805/data-bowl-in-r-2019", "kernel_id": "6892724"}, {"ref": "nandhuelan/dsbowl-v5-blending", "kernel_id": "6480610"}, {"ref": "khoongweihao/bayesian-opt-seed-blending-with-tuning-69", "kernel_id": "6977658"}, {"ref": "khairulislam/a-gentle-introduction-to-the-game", "kernel_id": "6377731"}, {"ref": "manyregression/fastai-2019-data-science-bowl", "kernel_id": "6891580"}, {"ref": "vbmokin/quick-and-dirty-regression-other-pred-coeffs", "kernel_id": "6837990"}, {"ref": "iprapas/dsb-2019-eda-goal-explanation", "kernel_id": "6410494"}, {"ref": "iprapas/visualizing-sequences-of-activities", "kernel_id": "6640941"}, {"ref": "lpdataninja/data-science-bowl-baseline", "kernel_id": "6497449"}, {"ref": "carlolepelaars/understanding-the-metric-quadratic-weighted-kappa", "kernel_id": "6685220"}, {"ref": "braquino/catboost-some-more-features", "kernel_id": "6504103"}, {"ref": "braquino/catboost-model-massoud-hosseinali-full-commented", "kernel_id": "6419807"}, {"ref": "braquino/890-features", "kernel_id": "6657682"}, {"ref": "braquino/convert-to-regression", "kernel_id": "6735476"}, {"ref": "pednt9/dsb-2019-data-minification", "kernel_id": "6384297"}, {"ref": "bibhasmondal96/2019-data-science-bowl", "kernel_id": "6393044"}, {"ref": "concise1451/kernel27fe03136c", "kernel_id": "6834582"}, {"ref": "declot/ds-bowl-study-initial-data", "kernel_id": "6608146"}, {"ref": "ajay19/base-model-with-xgboost", "kernel_id": "6386492"}, {"ref": "fatihbilgin/data-science-bowl-2019-data-visualization", "kernel_id": "6377827"}, {"ref": "yawata/visualzing-game-transition-by-networkx", "kernel_id": "6927225"}, {"ref": "arafathhossain/feature-engineering-made-easy", "kernel_id": "6472409"}, {"ref": "vigneshvittal/kernel46460b0f31", "kernel_id": "6813223"}, {"ref": "felcyjenolin/kernel7b484621de", "kernel_id": "6813250"}, {"ref": "satsaras/data-bowl-let-s-regress-now", "kernel_id": "6806388"}, {"ref": "ayush51379/a-star-is-born-with-this-idea", "kernel_id": "6685681"}, {"ref": "ayush51379/demo-simple-8", "kernel_id": "6492089"}, {"ref": "ayush51379/ds-short-ana5-feature-extraction", "kernel_id": "6468018"}, {"ref": "siyuansh/simple-feature-engineering-and-random-forest-model", "kernel_id": "6671532"}, {"ref": "xhlulu/dsb-2019-simple-lgbm-using-aggregated-data", "kernel_id": "6381299"}, {"ref": "daisy9197/2019-data-science", "kernel_id": "6929039"}, {"ref": "jackluu/jack-s-submission", "kernel_id": "6665894"}, {"ref": "jackluu/2019-data-science-bowl-it344-jack-and-isaac", "kernel_id": "6446306"}, {"ref": "chinmayejain0091/dsb-simple-eda", "kernel_id": "6784024"}, {"ref": "bluewizard/truncate-the-training-set-like-the-test-set", "kernel_id": "6565339"}, {"ref": "bluewizard/random-forest-with-performance-history", "kernel_id": "6573072"}, {"ref": "bluewizard/exploring-accuracy-on-games", "kernel_id": "6576466"}, {"ref": "bluewizard/basic-median-model", "kernel_id": "6493150"}, {"ref": "bluewizard/function-to-score-assessments-w-ground-truth-test", "kernel_id": "6509079"}, {"ref": "chizuchizu/features-selection-using-permutation-importance", "kernel_id": "6373999"}, {"ref": "vh1981/lgb-bayesian-blending", "kernel_id": "6870723"}, {"ref": "vh1981/2019-data-science-bowl-catboost", "kernel_id": "6667098"}, {"ref": "vipulgandhi/how-to-choose-right-metric-for-evaluating-ml-model", "kernel_id": "6223117"}, {"ref": "adibpriatama/deeper-feature-engineering-fr", "kernel_id": "6508697"}, {"ref": "adibpriatama/data-science-bowl-fast-compact-solution", "kernel_id": "6405203"}, {"ref": "veroderberg/kernel355bac0a27", "kernel_id": "6472345"}, {"ref": "rafallazinski/rafal-data-science-bowl", "kernel_id": "6924911"}, {"ref": "martin1234567890/data-reduction", "kernel_id": "6399734"}, {"ref": "subinium/little-faster-io-use-pickle-format", "kernel_id": "6386310"}, {"ref": "subinium/little-faster-io-use-pickle-format-2", "kernel_id": "6386494"}, {"ref": "prarit/initial-eda-data-science-bowl-2019", "kernel_id": "6575955"}, {"ref": "namepen/2019-dsb-eda-world-and-title-sequence", "kernel_id": "6540075"}, {"ref": "asahak/tutorial-dsb", "kernel_id": "6664939"}, {"ref": "oluwaody/albert-brain-in-kids", "kernel_id": "6680267"}, {"ref": "rha1234/kernel5c9cbcdb74", "kernel_id": "6945389"}, {"ref": "runthis/oh-this-is-public", "kernel_id": "6813086"}, {"ref": "johnxuu/cv0-94", "kernel_id": "6743168"}, {"ref": "leoclinton/myfirstkernell", "kernel_id": "6813213"}, {"ref": "binaicrai/dsb-v1-0", "kernel_id": "6398727"}, {"ref": "ted8080/another-way-of-parsing-json-file", "kernel_id": "6461380"}, {"ref": "irochka/bayesian-opt-seed-blending-with-tuning", "kernel_id": "6926874"}, {"ref": "palakurthidurga/eda-data-science-bowl-2019", "kernel_id": "6591118"}, {"ref": "amanooo/dsb-2019-catboost-with-voting", "kernel_id": "6647710"}, {"ref": "amanooo/dsb-2019-regressors-and-optimal-rounding", "kernel_id": "6923821"}, {"ref": "adambang/2019-data-science-bowl-for-baseline", "kernel_id": "6851366"}, {"ref": "adambang/model-and-predict-to-2019-data-science-bowl", "kernel_id": "6875959"}, {"ref": "rodrigolima82/using-neural-network", "kernel_id": "6895029"}, {"ref": "nadarsubash/data-sci-bowl-2019-basic-eda", "kernel_id": "6759811"}, {"ref": "baijayanti94/data-science-school-coding", "kernel_id": "6836896"}, {"ref": "seraphwedd18/2019-dsb-with-keras", "kernel_id": "6424734"}, {"ref": "ashleshaprix/kernel1204aef437", "kernel_id": "6690958"}, {"ref": "datajang/dsb-catboost", "kernel_id": "6882608"}, {"ref": "datajang/my-dsb-eda", "kernel_id": "6846392"}, {"ref": "vamsikalyan/data-science-bowl-compitition", "kernel_id": "6399728"}, {"ref": "ebobette/dsb-data-exploration", "kernel_id": "6667153"}, {"ref": "sarapena/sarapena-data-science-bowl-exploration", "kernel_id": "6764288"}, {"ref": "l0new0lf/data-science-bowl-2019", "kernel_id": "6799203"}, {"ref": "drcapa/2019-bowl-analysis-feature-engineering-xgb", "kernel_id": "6374378"}, {"ref": "niranjankumarc/ds-bowl-2019-boosting-shap-explanation", "kernel_id": "6441324"}, {"ref": "muke5hy/load-data-fast", "kernel_id": "6961160"}, {"ref": "zain1317/using-ann", "kernel_id": "6793578"}, {"ref": "jozefc/stacked-models", "kernel_id": "6777073"}, {"ref": "sagarsorout/kernel76b5f06a60", "kernel_id": "6671120"}, {"ref": "greenart/parsing-json-event-data", "kernel_id": "6434749"}, {"ref": "greenart/parsing-data-and-reducing-the-size-of-the-sets", "kernel_id": "6559116"}, {"ref": "eliasgreen/2019-data-science-bowl-competition", "kernel_id": "6853193"}, {"ref": "wuwenmin/dnn-and-effective-soft-quadratic-kappa-loss", "kernel_id": "6967714"}, {"ref": "caesarlupum/ds-bowl-start-here-a-gentle-introduction", "kernel_id": "6381677"}, {"ref": "williamhuybui/investigation-on-players-that-are-not-recorded", "kernel_id": "6783965"}, {"ref": "riadalmadani/eda-starter-e5eb65", "kernel_id": "6381880"}, {"ref": "rutviklathiya/catboos-datascience", "kernel_id": "6512005"}, {"ref": "eguegu/bowl-game", "kernel_id": "6743385"}, {"ref": "eguegu/lightgbm-model", "kernel_id": "6928431"}, {"ref": "sigma12345/dsb-2019-simple-lgbm-using-aggregated-data", "kernel_id": "6691447"}, {"ref": "shaileshcgautam/exercise-introduction", "kernel_id": "6678813"}, {"ref": "sankara1996/kernel1772224679", "kernel_id": "6733834"}, {"ref": "aksha17/2019-data-science-bowl-eda", "kernel_id": "6818432"}, {"ref": "s13658695/xgboost-no-cv", "kernel_id": "6591860"}, {"ref": "aspgvu/misclick-study", "kernel_id": "6781387"}, {"ref": "dayeonlee/kernelb0fb8b9268", "kernel_id": "6703509"}, {"ref": "stvbex/dsb2019-011-lightgbm-reg", "kernel_id": "6797219"}, {"ref": "morenovanton/kernel7828582544", "kernel_id": "6939003"}, {"ref": "tarandro/regression-with-less-overfitting", "kernel_id": "6735571"}, {"ref": "iamleonie/japan-country-of-the-rising-women", "kernel_id": "6691968"}, {"ref": "pandamia92/dsb-kernel-1", "kernel_id": "6734665"}, {"ref": "parksangheon/ensemble-of-xgboost-and-lgbm", "kernel_id": "6661669"}, {"ref": "olivermadsen/fast-and-stable-quadratic-kappa-r", "kernel_id": "6566853"}, {"ref": "adambanham/dsb-2019-feature-engineering", "kernel_id": "6476792"}, {"ref": "shivyshiv/lightgbm-regression-and-xgboost-regression", "kernel_id": "6643132"}, {"ref": "yathishnv/next-gen-eda-66b064", "kernel_id": "6570332"}, {"ref": "usfea12/kernel48215c3f55", "kernel_id": "6630080"}, {"ref": "dianepage/knn-means-model", "kernel_id": "6555669"}, {"ref": "priscilakubagawa/pknotebook", "kernel_id": "6585816"}, {"ref": "zaahirjabbar/kerneld40921d1a7", "kernel_id": "6805277"}, {"ref": "kotanishimura/quick-and-dirty-regression", "kernel_id": "6726010"}, {"ref": "hanjstest/hanjstest-notebook", "kernel_id": "6667776"}, {"ref": "jmorleywilkinson/understanding-quadratic-weighted-kappa-scoring", "kernel_id": "6680705"}, {"ref": "niveshathersa/kernel36f917ff83", "kernel_id": "6813236"}, {"ref": "philippsinger/lgb-catboost-17-10fold-15bag-3k-majority-rank-v4", "kernel_id": "7650545"}, {"ref": "shrutidwivedi/firstpythonkernel-15dec", "kernel_id": "7051239"}, {"ref": "izmaylov/silver-singlelgbm", "kernel_id": "7596358"}, {"ref": "sergeifironov/bowl-stabilize-coefs-cntrs-all5", "kernel_id": "7464370"}, {"ref": "superant/bowl19-state-transfers", "kernel_id": "7065386"}, {"ref": "rohinik/measureup-learning-analytics-part1", "kernel_id": "7915321"}, {"ref": "skeller/sprawling-cup", "kernel_id": "7428558"}, {"ref": "danofer/dsb19-baseline-catboost", "kernel_id": "7492121"}, {"ref": "irelav/keras-dnn-with-r", "kernel_id": "7097532"}, {"ref": "ghassent/cat-lgb1", "kernel_id": "7425459"}, {"ref": "toshik/37th-place-solution", "kernel_id": "7685623"}, {"ref": "steubk/dsb2019-bs-26-lgb-auc-xgb", "kernel_id": "7651595"}, {"ref": "dougforrest/gantt-charts", "kernel_id": "7612229"}, {"ref": "psmirnov0/regression-ranker", "kernel_id": "7546844"}, {"ref": "skylord/data-science-bowl-2019-regression-to-convert-lb", "kernel_id": "7520762"}, {"ref": "mikeholcomb/path-maximum-a-posteriori-dsb-2019", "kernel_id": "7300965"}, {"ref": "mikeholcomb/assessments-type-to-predict-dsb-2019", "kernel_id": "7277572"}, {"ref": "mikeholcomb/how-to-recreate-train-labels-dsb-2019", "kernel_id": "7259777"}, {"ref": "sunilmistri/dsc-regression", "kernel_id": "7644400"}, {"ref": "adamsaltz/preprocessor-for-data-bowl-2019", "kernel_id": "7080350"}, {"ref": "adamsaltz/models-for-data-science-bowl", "kernel_id": "7584562"}, {"ref": "adamsaltz/predictions-for-data-science-bowl-2019", "kernel_id": "7663371"}, {"ref": "onodera/publiclb-is-dummy-test", "kernel_id": "7197095"}, {"ref": "amineteffal/understanding-event-data", "kernel_id": "7174726"}, {"ref": "xubujie/yet-another-feature-aggregation-starter", "kernel_id": "7450374"}, {"ref": "lanzalibre/data-science-bowl", "kernel_id": "7222199"}, {"ref": "safikk/lstm-rnn-with-feature-engineering", "kernel_id": "7016776"}, {"ref": "ash16win/python-h2o-ensemble-xgb-rf-and-dl", "kernel_id": "7281628"}, {"ref": "ash16win/ensemble-gbm-xgb-rf-h2o", "kernel_id": "7253527"}, {"ref": "ash16win/python-feature-data-bowl", "kernel_id": "7252990"}, {"ref": "jyesawtellrickson/data-reduction-less", "kernel_id": "7048684"}, {"ref": "jyesawtellrickson/sessions-eda", "kernel_id": "7142181"}, {"ref": "jyesawtellrickson/drawing-pictures-with-coordinate-events", "kernel_id": "7250528"}, {"ref": "jyesawtellrickson/even-faster-submit", "kernel_id": "7239560"}, {"ref": "jyesawtellrickson/events-data-missing-values-analysis", "kernel_id": "7209226"}, {"ref": "artinn/minimalizm", "kernel_id": "7046794"}, {"ref": "srikarg/regression", "kernel_id": "7250478"}, {"ref": "keremt/fastai-feature-engineering-part2-46-features", "kernel_id": "7092303"}, {"ref": "keremt/fastai-model-part2-regression", "kernel_id": "7093572"}, {"ref": "keremt/fastai-model-part1-regression", "kernel_id": "7049541"}, {"ref": "keremt/fastai-model-part2-upgraded", "kernel_id": "7158524"}, {"ref": "keremt/fastai-lgbm-model-part3", "kernel_id": "7170056"}, {"ref": "code1110/dsb19-lgb-hyperparameter-tuning-optuna", "kernel_id": "7372343"}, {"ref": "simakov/fork-of-fork-of-fork-of-best-of-best-of-fast-data", "kernel_id": "7329348"}, {"ref": "hxshine/no-duration-submit", "kernel_id": "7021647"}, {"ref": "rpcsvm/fancy-few-features-3f", "kernel_id": "7556774"}, {"ref": "rpcsvm/3-ml-cnn-meta-prob", "kernel_id": "7492703"}, {"ref": "rpcsvm/xgr-gpc", "kernel_id": "7629927"}, {"ref": "rpcsvm/6-ml-meta-rf", "kernel_id": "7449064"}, {"ref": "rpcsvm/xboost-grid-search", "kernel_id": "7264334"}, {"ref": "somnambwl/bdb19", "kernel_id": "7608254"}, {"ref": "shengtanwusorc/classification-and-regression", "kernel_id": "7168424"}, {"ref": "iamwesleyclark/dsb-v1", "kernel_id": "7437384"}, {"ref": "karankrishna/xgboost-feature-selection-dsbowl", "kernel_id": "7630255"}, {"ref": "a763337092/3models-add-feat-clip-time", "kernel_id": "7612806"}, {"ref": "yuujinnai/kaggle-notebook", "kernel_id": "7553893"}, {"ref": "jimmy18/stacking", "kernel_id": "7400995"}, {"ref": "zgzjnbzl/dsb-mlp-216-feature", "kernel_id": "7675133"}, {"ref": "yeonmin/simple-get-event-data", "kernel_id": "7422540"}, {"ref": "mhaupt/pbs-kids-in-pyspark-part-1-exploration", "kernel_id": "7192774"}, {"ref": "mhaupt/pbs-kids-in-pyspark-part-2-feature-engineering", "kernel_id": "7809075"}, {"ref": "pestipeti/probing-private-lb", "kernel_id": "7054446"}, {"ref": "keyurparalkar/data-science-bowl-2019-prototype-1", "kernel_id": "7485540"}, {"ref": "sheriytm/fastai2-2019-data-science-bowl", "kernel_id": "7189899"}, {"ref": "badamnarendra/eda-dsb", "kernel_id": "7665351"}, {"ref": "joey234/catboost-model", "kernel_id": "7323525"}, {"ref": "artmatician/21st-place-solution", "kernel_id": "7685871"}, {"ref": "prasunmishra/multiclass-classification-nn-softmax-no-fe-agg", "kernel_id": "7363132"}, {"ref": "meanwesha/data-science-bowl-19-eda-and-bernoulli-naive-bayes", "kernel_id": "7631826"}, {"ref": "demetrius/data-science-bowl-2019-1-data-processing", "kernel_id": "7801897"}, {"ref": "grapestone5321/2019-data-science-sample-submission", "kernel_id": "7050649"}, {"ref": "ricardo13/fork-of-final-with-out-embedding-max-processing", "kernel_id": "7649478"}, {"ref": "imarevic/2019-dsb-data-tree-structure-visualization", "kernel_id": "7434502"}, {"ref": "yuooka/dsb2019-xgb-c08-01-adv-2", "kernel_id": "7602687"}, {"ref": "yuooka/dsb2019-xgb-c08-01-adv", "kernel_id": "7601350"}, {"ref": "tomgaava/dsb-leaking-overfitting-why", "kernel_id": "7256285"}, {"ref": "rokiso/dsb-kernel", "kernel_id": "7232441"}, {"ref": "shinogi/open-event-data", "kernel_id": "7383191"}, {"ref": "ohtpei/feature-engineering-lgbm", "kernel_id": "7326159"}, {"ref": "hotessy/trousers-bronzey-score-baseline-dsb-1", "kernel_id": "7606895"}, {"ref": "danvm90/ds-bowl-train", "kernel_id": "7227213"}, {"ref": "ragnar123/truncated-train-ensemble", "kernel_id": "7176631"}, {"ref": "ragnar123/truncated-val", "kernel_id": "7215240"}, {"ref": "yusuf287/mode-method-0-6-1-1-2-02-bagging-3", "kernel_id": "7600409"}, {"ref": "khaitov/a-different-way-of-processing-data", "kernel_id": "7668270"}, {"ref": "bhavikapanara/2019-data-science-bowl-some-interesting-features", "kernel_id": "7193769"}, {"ref": "bhavikapanara/2019-dsb-with-more-features-qwk-0-549", "kernel_id": "7302474"}, {"ref": "bhavikapanara/dsb-2019-single-lightgbm", "kernel_id": "7622286"}, {"ref": "yyll008/fork-of-datahack-amma-private-score-0-554", "kernel_id": "7664659"}, {"ref": "mnassrib/convert-to-regression-random-score", "kernel_id": "7509327"}, {"ref": "danbzl/event-data-engineering-and-function-parallelism", "kernel_id": "7471950"}, {"ref": "haojianqiao/starter-codes-without-parameter-tuning", "kernel_id": "7424817"}, {"ref": "harupy/scores-on-top-public-kernels", "kernel_id": "7492028"}, {"ref": "harupy/score-distribution-of-the-public-lb", "kernel_id": "7559554"}, {"ref": "plasticgrammer/dsb2019-lgbm-kfold-2-n", "kernel_id": "7502722"}, {"ref": "hidehisaarai1213/dsb2019-nn-ovr-reduce-90-val-60-percentile", "kernel_id": "7509897"}, {"ref": "kranthi9/convert-to-regression-bf75e3", "kernel_id": "7545835"}, {"ref": "xxbxyae/2-steps-regression-predict-to-accuracy", "kernel_id": "7234350"}, {"ref": "jake126/test-data-reshaping-and-model-testing", "kernel_id": "7062768"}, {"ref": "damienpark/glance-at-type", "kernel_id": "7073309"}, {"ref": "damienpark/refine-dataset", "kernel_id": "7590332"}, {"ref": "damienpark/lstm-for-bowl", "kernel_id": "7632480"}, {"ref": "barnwellguy/when-kids-play", "kernel_id": "7351293"}, {"ref": "barnwellguy/eye-candy-player-activity-sequence-visualization", "kernel_id": "7274898"}, {"ref": "omarmorsli/2019-data-science-bowl-data-viz", "kernel_id": "7641667"}, {"ref": "simpletonwang/full-code", "kernel_id": "7529685"}, {"ref": "ns8drw/append-world-to-media-sequence", "kernel_id": "7019795"}, {"ref": "limerobot/dsb2019-v77-tr-dt-aug0-5-3tta", "kernel_id": "7622493"}, {"ref": "marcogorelli/fork-of-quick-and-dirty-regression", "kernel_id": "7603827"}, {"ref": "tsmith26/lightgbm-custom-objective-for-weighted-kappa", "kernel_id": "7090024"}, {"ref": "shippeng/convert-to-regression-classification", "kernel_id": "7453276"}, {"ref": "khoongweihao/data-science-bowl-2019-regression-to-convert-lb", "kernel_id": "7430118"}, {"ref": "khoongweihao/top-5-pub-to-top-53-priv-convert-disaster", "kernel_id": "7598634"}, {"ref": "manyregression/private-fastai-2019-data-science-bowl", "kernel_id": "7115323"}, {"ref": "vbmokin/convert-to-regression-with-tuning", "kernel_id": "7475082"}, {"ref": "emekaboris/2019-data-science-bowl", "kernel_id": "7492177"}, {"ref": "khahuras/bowl-2201-a", "kernel_id": "7646924"}, {"ref": "khahuras/dsb2019-v77-tr-dt-aug0-5-3tta-8a1f46", "kernel_id": "7867856"}, {"ref": "llljjjyyy/fastai-2019-data-science-bowl", "kernel_id": "7098530"}, {"ref": "arindam235/catboost-dsbowl", "kernel_id": "7298374"}, {"ref": "servietsky/convert-to-regression-with-stacking", "kernel_id": "7592456"}, {"ref": "servietsky/xgb-simple-and-efficient", "kernel_id": "7087285"}, {"ref": "roydatascience/a-z-in-data-science-bowl-bayesian-elastic-net", "kernel_id": "7609971"}, {"ref": "roydatascience/data-science-bowl-data-minification", "kernel_id": "7300346"}, {"ref": "satya288/swiggy-workshop", "kernel_id": "7051254"}, {"ref": "zakopur0/dsb-classfication", "kernel_id": "7234406"}, {"ref": "brunotavares/making-plots-out-of-curiosity", "kernel_id": "7517488"}, {"ref": "benayas/cleaning-dataset", "kernel_id": "7475453"}, {"ref": "talexeyft/fork-of-f-fff-bo-0-15-to-0-10", "kernel_id": "7549298"}, {"ref": "snakayama/dsb-2019-ensemble-of-xgb-lgb", "kernel_id": "7561121"}, {"ref": "snakayama/dsb-2019-stratifiedkfold-lgb-xgb", "kernel_id": "7600437"}, {"ref": "saeedtqp/datascience-bowl", "kernel_id": "7260550"}, {"ref": "gopidurgaprasad/datahack-amma", "kernel_id": "7495391"}, {"ref": "gopidurgaprasad/fork-of-datahack-amma", "kernel_id": "7580183"}, {"ref": "necrobs/data-camp", "kernel_id": "7675688"}, {"ref": "talk2ranjanktr/2019-data-science-bowl", "kernel_id": "7130702"}, {"ref": "kaerunantoka/dsb-transformer-with-pytorch-cpu", "kernel_id": "7752097"}, {"ref": "vasar007/second-attempt", "kernel_id": "7404205"}, {"ref": "thehawkgriffith/let-s-vizualize-and-extract-features-2019-ds-bowl", "kernel_id": "7140585"}, {"ref": "danechen/dsb-2019-eda-fe-and-model", "kernel_id": "7722948"}, {"ref": "danechen/convert-to-regression-fe", "kernel_id": "7628211"}, {"ref": "yawata/regression-without-accumulate-feature", "kernel_id": "7432970"}, {"ref": "qbao96xb/dsb2019-after-process", "kernel_id": "7107128"}, {"ref": "shaswat1/base-model", "kernel_id": "7666952"}, {"ref": "arhink/going-for-simplicity", "kernel_id": "7021674"}, {"ref": "daisy9197/2019-data-science-second-try", "kernel_id": "7414858"}, {"ref": "icewind2/kernel20d3e9c87c", "kernel_id": "7319736"}, {"ref": "adisrinu/kernel62f3faa435", "kernel_id": "7319949"}, {"ref": "altimofeevm/datasciencebowl", "kernel_id": "7430999"}, {"ref": "sourabhchauhan/regression-with-event-data", "kernel_id": "7414482"}, {"ref": "pgalindo11322/data-science-bowl-k-nearest-neighbor", "kernel_id": "7419299"}, {"ref": "pgalindo11322/data-science-bowl-xgbregressor", "kernel_id": "7467411"}, {"ref": "pgalindo11322/data-science-bowl-v2", "kernel_id": "7337368"}, {"ref": "vh1981/catboost-bayesian-voting", "kernel_id": "7060328"}, {"ref": "vh1981/single-lgbm-model-with-bayesian-optimization", "kernel_id": "7518565"}, {"ref": "devchriscross/2019-data-science-bowl-phase-i", "kernel_id": "7307834"}, {"ref": "abhinand05/catboost-a-deeper-dive", "kernel_id": "7232828"}, {"ref": "kanchannannavare/kernel4c2a0fd51b", "kernel_id": "7343761"}, {"ref": "tpmeli/dsb-2019-finalizing", "kernel_id": "7424315"}, {"ref": "edeanf/2019datasciencebowl-xgb", "kernel_id": "7631780"}, {"ref": "edeanf/2019datasciencebowl-featureengineering-raw", "kernel_id": "7261076"}, {"ref": "edeanf/2019datasciencebowl-dataexploration", "kernel_id": "7158490"}, {"ref": "toruhasegawa/low-overfitting-single-model", "kernel_id": "7768575"}, {"ref": "guoyuechao/0-559-10fold-add-cat-feature-remove", "kernel_id": "7333337"}, {"ref": "namepen/some-logs-in-assessment-are-gone", "kernel_id": "7424543"}, {"ref": "ezlovelace/gbm-model-script", "kernel_id": "7658904"}, {"ref": "hanjoonchoe/dsb2019-baseline", "kernel_id": "7464156"}, {"ref": "hanjoonchoe/fork-of-fork-of-fork-of-convert-to-regression-ran", "kernel_id": "7625956"}, {"ref": "teejmahal20/dsb-lofo-importance", "kernel_id": "7005949"}, {"ref": "negi009/data-science-bowl-2019-team-lufoto", "kernel_id": "7671427"}, {"ref": "ignatovdv/pytorch-ensemble", "kernel_id": "7662808"}, {"ref": "lair0826/new-version-v0-0-2", "kernel_id": "7542543"}, {"ref": "mrhassanfadi/train-dist-and-test-dist-are-not-identical", "kernel_id": "7527521"}, {"ref": "mrhassanfadi/estimate-clip-duration", "kernel_id": "7541595"}, {"ref": "vzaguskin/never-trust-lb", "kernel_id": "7061276"}, {"ref": "rkjiwa/kernel773761685d", "kernel_id": "7080462"}, {"ref": "naive666/data-science-bowl-2019", "kernel_id": "7361981"}, {"ref": "mickykumar/2019-data-science-bowl", "kernel_id": "7154458"}, {"ref": "mickykumar/2019-data-science-bowl-data-cleaning", "kernel_id": "7593876"}, {"ref": "eligeti/catboost-01", "kernel_id": "7430834"}, {"ref": "eligeti/catboost-01-pretrained", "kernel_id": "7437409"}, {"ref": "yunishi0716/final-note", "kernel_id": "7658706"}, {"ref": "max6296/id-no-title-specific-dist-preds-rank-average", "kernel_id": "7592757"}, {"ref": "minhle1994/eda-data-science-bowl", "kernel_id": "7176586"}, {"ref": "manishkumarnaik999/manishfirst", "kernel_id": "7451734"}, {"ref": "krammerg/dsb19-baseline-catboost", "kernel_id": "7411511"}, {"ref": "justinmulli/fixup", "kernel_id": "7372163"}, {"ref": "defileroff/improving-winners-model", "kernel_id": "7751655"}, {"ref": "nickshow11/pbskid", "kernel_id": "7155296"}, {"ref": "kst6690/dsb2019-tuning-lightgbm-parameter-using-optuna", "kernel_id": "7042917"}, {"ref": "kst6690/make-your-xgboost-model-awesome-with-optuna", "kernel_id": "7676701"}, {"ref": "aitude/2019-data-science-bowl-out-of-box-eda", "kernel_id": "7074079"}, {"ref": "jozefc/voting-models", "kernel_id": "7035956"}, {"ref": "shiyongpang/python-pandas-data-reading-speed", "kernel_id": "7588116"}, {"ref": "shiyongpang/r-packages-data-reading-speed-comparison", "kernel_id": "7588027"}, {"ref": "abhijitd16/data-science-bowl-2019-v2", "kernel_id": "7208345"}, {"ref": "abhijitd16/data-science-bowl-2019-draft", "kernel_id": "7540838"}, {"ref": "applehph/kernel118a089f73", "kernel_id": "7298585"}, {"ref": "alamjane61/data-science-bowl", "kernel_id": "7115507"}, {"ref": "maxyar123/kernel7d11ade303", "kernel_id": "7661607"}, {"ref": "maxyar123/kernel22d3969a56", "kernel_id": "7647407"}, {"ref": "maxyar123/kernel7df39ce53f", "kernel_id": "7646585"}, {"ref": "maxyar123/kernel26f75eee6c", "kernel_id": "7628166"}, {"ref": "maxyar123/kernel49f76b9f54", "kernel_id": "7626077"}, {"ref": "maxyar123/kernel228f9b5b1e", "kernel_id": "7626630"}, {"ref": "lolaya/trunc-train", "kernel_id": "7023570"}, {"ref": "lolaya/fork-of-trunc-train-dcf361", "kernel_id": "7026756"}, {"ref": "lolaya/fork-of-fork-of-trunc-train-dcf361", "kernel_id": "7026827"}, {"ref": "lolaya/testtmp", "kernel_id": "7027120"}, {"ref": "lolaya/fork-of-fork-of-fork-of-trunc-train-dcf361", "kernel_id": "7033948"}, {"ref": "lolaya/fork-of-fork-of-fork-of-fork-of-trunc-train-dcf361", "kernel_id": "7033565"}, {"ref": "lolaya/kernel20f1b1ce66", "kernel_id": "7037140"}, {"ref": "lolaya/fork-of-fork-of-fork-of-fork-of-fork-of-fork-of-tr", "kernel_id": "7046609"}, {"ref": "lolaya/fork-of-fork-of-fork-of-fork-of-trunc-train-3a8d32", "kernel_id": "7045644"}, {"ref": "lolaya/fork-of-fork-of-fork-of-fork-of-fork-of-trunc-trai", "kernel_id": "7045697"}, {"ref": "qkrwlsdn96/0-599-0-4-0-2-0-2-0-2", "kernel_id": "7661304"}, {"ref": "mraghav/kernel1e3d28ed81", "kernel_id": "7051246"}, {"ref": "subhayo/ds-bowl-extensive-eda-draft", "kernel_id": "7115648"}, {"ref": "yankai19/convert-to-regression-f4585b", "kernel_id": "7339677"}, {"ref": "yankai19/convert-to-regression", "kernel_id": "7273818"}, {"ref": "muhammadurrehman/lgbm-regressor", "kernel_id": "7051695"}, {"ref": "vlpavlov/silver-medal-solution-for-2019-data-science-bowl", "kernel_id": "7629302"}, {"ref": "mansionkevin/kernel52fffbced5", "kernel_id": "7226486"}, {"ref": "jiachengyou/ml-final", "kernel_id": "7031657"}, {"ref": "jiachengyou/ml-final-v2", "kernel_id": "7054314"}, {"ref": "harikishanm96/swiggy-workshop", "kernel_id": "7051250"}, {"ref": "egor98/datasciencebowl", "kernel_id": "7463128"}, {"ref": "tarandro/threshold-visualization", "kernel_id": "7474370"}, {"ref": "tarandro/lda-k-means-logit-model", "kernel_id": "7221788"}, {"ref": "jaysoncunanan/wahhhhh", "kernel_id": "7419443"}, {"ref": "skotee/dsb-2019-firstdraw", "kernel_id": "7549608"}, {"ref": "genelee1/data-science-bowl", "kernel_id": "7645994"}, {"ref": "thotungnguyen/flying-eagles", "kernel_id": "7487131"}, {"ref": "jonnoklis/kernel5f1d4f9f2e", "kernel_id": "7017971"}, {"ref": "jonathanbaptiste/cc2020-project", "kernel_id": "7460910"}, {"ref": "superstraw/one-code-for-baseline-random", "kernel_id": "7077007"}, {"ref": "shubhampandey27/regclass", "kernel_id": "7394053"}, {"ref": "andrewgao/bayesian-optimization-seed-blending-897d0b", "kernel_id": "7014296"}, {"ref": "andrewgao/bayesian-opt-seed-blending-with-tuning-34e091", "kernel_id": "7013578"}, {"ref": "andrewgao/bayesian-opt-seed-blending-with-tuning", "kernel_id": "7011147"}, {"ref": "xiaosilasliu/data-science-bowl-public-result", "kernel_id": "7595959"}, {"ref": "gr8ergood/2019-data-science-bowl-a-possible-solution", "kernel_id": "7487416"}, {"ref": "shimizumasaki/lstm-time-series-of-sessions", "kernel_id": "7630634"}, {"ref": "tomokikmogura/lightgbm-classification-use-important-features", "kernel_id": "7623406"}, {"ref": "moiseenko/fork-of-fork-of-data-science-bowl-project", "kernel_id": "7771219"}, {"ref": "moiseenko/fork-of-data-science-bowl-project", "kernel_id": "7742764"}, {"ref": "reshmamohiyiddin/swiggyworkshop", "kernel_id": "7051244"}, {"ref": "niteshsethia/nitesh-notebook", "kernel_id": "7051258"}, {"ref": "deeptichourasia/myfirst-kernel", "kernel_id": "7051235"}, {"ref": "preesar/how-to-sink-more-ships", "kernel_id": "7051247"}, {"ref": "wyl1997/dsb-classfication", "kernel_id": "7246269"}, {"ref": "wyl1997/ngboost-for-convert-to-regression", "kernel_id": "7463814"}, {"ref": "annasavinova/kernel784e8fdf13lgb", "kernel_id": "7661468"}, {"ref": "xinruchen0724/my-analysis-about-data-science-bowl", "kernel_id": "7392772"}, {"ref": "greenpow/kernel-add-catboost", "kernel_id": "7309594"}, {"ref": "challenge1a3/convert-to-regression", "kernel_id": "7249414"}, {"ref": "vportnov/dsb19", "kernel_id": "7421256"}, {"ref": "kudryavtcev/kernel16c7c8ac39", "kernel_id": "7400766"}, {"ref": "fatsaltyfish/convert-to-regression-feature-test", "kernel_id": "7356795"}, {"ref": "revoltmoon/kernel608b588315", "kernel_id": "7415577"}, {"ref": "ddlddd/tezheng550", "kernel_id": "7386110"}, {"ref": "ekaterinabay/new-attempt", "kernel_id": "7406574"}, {"ref": "allen0417/kernel5fde70485e", "kernel_id": "7405756"}, {"ref": "nxrprime/simple", "kernel_id": "7512115"}, {"ref": "oleggribanov/kernel2a0967f8e6", "kernel_id": "7508019"}, {"ref": "skylerroh/feats-v2-4-10-ordinalregressor-ensemble", "kernel_id": "8361284"}, {"ref": "skylerroh/2019dsb-ordinalregression-ensemble", "kernel_id": "8947279"}, {"ref": "rohandeysarkar/data-science-bowl-2019-eda-feature-engineering", "kernel_id": "8334006"}, {"ref": "devchriscross/2019-data-science-bowl-phase-ii", "kernel_id": "8584272"}, {"ref": "devchriscross/2019-data-science-bowl-phase-iii", "kernel_id": "8733254"}, {"ref": "yunishi0716/dbs-my-solution", "kernel_id": "8067704"}, {"ref": "bookerd/2019-data-science-bowl-final", "kernel_id": "8066092"}, {"ref": "tomokikmogura/kaggler-meeting", "kernel_id": "8003278"}, {"ref": "brahma0545/test-bowl", "kernel_id": "9426305"}, {"ref": "declot/ds-bowl-2019-specs", "kernel_id": "9146689"}, {"ref": "niteshkumardew/testsubmission", "kernel_id": "9364409"}, {"ref": "niteshkumardew/quickxgbclassifier", "kernel_id": "9343920"}, {"ref": "niteshkumardew/submissionkernel", "kernel_id": "9459214"}, {"ref": "niteshkumardew/submission-14may", "kernel_id": "9476720"}, {"ref": "lzcabc123456/score-distribution-of-the-public-lb", "kernel_id": "9457214"}, {"ref": "akashram/intro-to-boosting-models-categorical-data-nlp", "kernel_id": "10447958"}, {"ref": "andriiluchko/convert-to-regression-with-tuning", "kernel_id": "10185192"}, {"ref": "uskcse/pbs-feature-engineering", "kernel_id": "10372440"}, {"ref": "jiianhui/kernel321a36183a", "kernel_id": "10262474"}, {"ref": "pawakapan/9-27-data-science-bowl-submission", "kernel_id": "11966822"}, {"ref": "wilderjoseth/clasification-datasciencebowl", "kernel_id": "11411213"}, {"ref": "kens3i/beginner-freindly-great-energy-predictor-with-lgbm", "kernel_id": "12484795"}, {"ref": "ionlights/projects-fa19-data-sci-bowl", "kernel_id": "14308656"}, {"ref": "ionlights/projects-fa19-data-sci-bowl-continued", "kernel_id": "14308660"}, {"ref": "yapayogrenme/how-to-choose-right-metric-for-evaluating-ml-model", "kernel_id": "26431576"}, {"ref": "xiefei/understanding-the-metric-quadratic-weighted-kappa", "kernel_id": "33208338"}, {"ref": "maximzaharov/coles-embs-ds-bowl", "kernel_id": "45533665"}, {"ref": "maximzaharov/coles-emb-s-demo-ds", "kernel_id": "45540160"}, {"ref": "devilbornfire/students-performance-prediction-model", "kernel_id": "47187274"}]}
{"competition_id": "16535", "kernels": []}
{"competition_id": "16536", "kernels": []}
{"competition_id": "16537", "kernels": [{"ref": "oakytree/core-fa19-applications-74ff95", "kernel_id": "6156445"}, {"ref": "ucfaibot/core-fa19-applications", "kernel_id": "6153671"}, {"ref": "ch1pless/core-fa19-applications-kyle", "kernel_id": "6156434"}]}
{"competition_id": "16539", "kernels": [{"ref": "feldlime/baseline", "kernel_id": "6292572"}, {"ref": "svitem/3-classifier", "kernel_id": "6294114"}, {"ref": "galinaz/lab-classification", "kernel_id": "6344189"}]}
{"competition_id": "16549", "kernels": []}
{"competition_id": "16560", "kernels": [{"ref": "mereyct/notebook7fd7e73c3d", "kernel_id": "80879717"}]}
{"competition_id": "16567", "kernels": [{"ref": "albeam/boosted-trees-tutorial", "kernel_id": "6234841"}, {"ref": "albeam/sentiment-prediction-with-the-lasso", "kernel_id": "6216766"}, {"ref": "albeam/hyperparameter-tuning-with-caret", "kernel_id": "6247733"}, {"ref": "albeam/movie-review-data-preprocessing-tutorial", "kernel_id": "6169207"}]}
{"competition_id": "16572", "kernels": []}
{"competition_id": "16573", "kernels": [{"ref": "paritoshharora/paritosh-101903069-ds-labevaluation", "kernel_id": "25394220"}, {"ref": "mohakmehta/mohakmehta-101903666", "kernel_id": "25407406"}, {"ref": "harshthakur178/lab-eval", "kernel_id": "25382125"}, {"ref": "manaswini25/402083005-manaswini-gupta", "kernel_id": "25398106"}]}
{"competition_id": "16576", "kernels": []}
{"competition_id": "16577", "kernels": [{"ref": "yohanesnuwara/gojek-fake-gps-detection", "kernel_id": "22601254"}, {"ref": "nhancv/gojek-fake-gps-detection", "kernel_id": "28566620"}]}
{"competition_id": "16583", "kernels": []}
{"competition_id": "16588", "kernels": []}
{"competition_id": "16592", "kernels": [{"ref": "plarmuseau/default-clusters", "kernel_id": "9229475"}, {"ref": "des137/probability-of-default", "kernel_id": "10065810"}, {"ref": "pushpumkrishna/loan-default-prediction", "kernel_id": "11905250"}, {"ref": "andreykorzhun/shap-feature-importance", "kernel_id": "14702769"}, {"ref": "arjun3154/loan-default-prediction", "kernel_id": "16056911"}, {"ref": "kaas2110/credit-default-solution", "kernel_id": "17980166"}, {"ref": "milangabriel/loan-default-probability-prediction", "kernel_id": "20015252"}, {"ref": "rakesh0929b/credit-default-prediction-model-buliding", "kernel_id": "22521152"}, {"ref": "redpen12/loan-default-prediction", "kernel_id": "33824969"}, {"ref": "kapturovalexander/kapturov-geekbrains-loan-default-prediction-comp", "kernel_id": "36436281"}, {"ref": "dolomone/loan-prediction", "kernel_id": "48786322"}, {"ref": "mrinmoym/loan-default-analysis-by-mrinmoy", "kernel_id": "53154616"}, {"ref": "kkimiraik/class-upg-3-no-outliners-ensemble", "kernel_id": "55670725"}, {"ref": "kaurgurpreet123/loandefaultpred-ipynb", "kernel_id": "78674027"}, {"ref": "imrun10/loan-default-prediction-submission", "kernel_id": "79166628"}, {"ref": "zxc0407/notebook5dbf86635b", "kernel_id": "85744548"}, {"ref": "zxc0407/notebookc16678ccad", "kernel_id": "85562976"}, {"ref": "trongkhang/loan-default-prediction", "kernel_id": "85778378"}, {"ref": "jacekkujawski/loan-default-prediction-by-several-methods", "kernel_id": "90500754"}, {"ref": "supriya21k/loan-default-prediction", "kernel_id": "94879519"}]}
{"competition_id": "16595", "kernels": [{"ref": "patrick0302/great-energy-predictor-shootout-i-lgbm-solution", "kernel_id": "7140426"}]}
{"competition_id": "16599", "kernels": []}
{"competition_id": "16600", "kernels": []}
{"competition_id": "16601", "kernels": []}
{"competition_id": "16604", "kernels": []}
{"competition_id": "16606", "kernels": [{"ref": "izmaylov/simple-solution-to-inclass-competition", "kernel_id": "6276280"}]}
{"competition_id": "16613", "kernels": []}
{"competition_id": "16616", "kernels": [{"ref": "boledadian/rdkit", "kernel_id": "6861467"}, {"ref": "chenhoushuang/cnn-demo", "kernel_id": "6367861"}]}
{"competition_id": "16634", "kernels": [{"ref": "anatolii/baseline", "kernel_id": "6214609"}]}
{"competition_id": "16639", "kernels": []}
{"competition_id": "16641", "kernels": []}
{"competition_id": "16642", "kernels": []}
{"competition_id": "16643", "kernels": []}
{"competition_id": "16647", "kernels": []}
{"competition_id": "16648", "kernels": []}
{"competition_id": "16650", "kernels": []}
{"competition_id": "16652", "kernels": []}
{"competition_id": "16656", "kernels": [{"ref": "vietleds/email-classification-multinomialnb", "kernel_id": "90708186"}]}
{"competition_id": "16660", "kernels": []}
{"competition_id": "16661", "kernels": [{"ref": "lizmisha/baseline", "kernel_id": "6225843"}]}
{"competition_id": "16668", "kernels": []}
{"competition_id": "16669", "kernels": []}
{"competition_id": "16674", "kernels": []}
{"competition_id": "16681", "kernels": []}
{"competition_id": "16687", "kernels": []}
{"competition_id": "16707", "kernels": []}
{"competition_id": "16710", "kernels": []}
{"competition_id": "16712", "kernels": []}
{"competition_id": "16718", "kernels": []}
{"competition_id": "16739", "kernels": []}
{"competition_id": "16740", "kernels": [{"ref": "kuantinglai/kernel6d4837c14c", "kernel_id": "6273953"}]}
{"competition_id": "16747", "kernels": []}
{"competition_id": "16748", "kernels": [{"ref": "jowoen/hw-jo-won-p5", "kernel_id": "6579468"}, {"ref": "kjwdubu/hw-jiwonkim-2019-pr-midterm-musicclassification", "kernel_id": "6496787"}, {"ref": "namhyunho/hw-5-namhyunho", "kernel_id": "6580767"}, {"ref": "s2blue4687/hw-yongho-choi-consideration-for-scaling", "kernel_id": "6579959"}, {"ref": "youcheol95/hw-youcheol-p5", "kernel_id": "6582137"}, {"ref": "antonio629/hw-namgu", "kernel_id": "6584564"}, {"ref": "nhk9680/hw-namhun-kim-q5", "kernel_id": "6582423"}, {"ref": "junghyunhwang/hw-junghyunhwang-p5", "kernel_id": "6570230"}, {"ref": "jaeung95/hw-jaeungjeong-p5", "kernel_id": "6583981"}, {"ref": "eksrud2587/hw-dangyeong", "kernel_id": "6572540"}, {"ref": "sanh22/hw-sanhee-kang-musicclassification", "kernel_id": "6572521"}, {"ref": "xown3197/kernel104c6e2737", "kernel_id": "6583090"}, {"ref": "baeksohyeon/hw-baek-sohyeon-p5", "kernel_id": "6585429"}, {"ref": "gysk97/hw-hyonayu", "kernel_id": "6562157"}, {"ref": "daechanhan/dae-chan-han", "kernel_id": "6579376"}, {"ref": "wsmin5925/hw-seong-min-wi", "kernel_id": "6581492"}]}
{"competition_id": "16759", "kernels": []}
{"competition_id": "16777", "kernels": []}
{"competition_id": "16778", "kernels": []}
{"competition_id": "16780", "kernels": [{"ref": "faridat/attrition", "kernel_id": "6409941"}, {"ref": "roadfoodr/ensemble-stacking", "kernel_id": "6486310"}, {"ref": "roadfoodr/attrition", "kernel_id": "6412733"}, {"ref": "roadfoodr/more-feature-exploration", "kernel_id": "6412811"}, {"ref": "roadfoodr/data-prep-pipeline", "kernel_id": "6447896"}, {"ref": "roadfoodr/feature-exploration-boruta", "kernel_id": "6452998"}, {"ref": "roadfoodr/model-exploration", "kernel_id": "6449643"}, {"ref": "roadfoodr/rebalance-classes", "kernel_id": "6439702"}, {"ref": "roadfoodr/feature-exploration", "kernel_id": "6330306"}, {"ref": "roadfoodr/logistic-regression", "kernel_id": "6361745"}, {"ref": "roadfoodr/randomforest-with-dummy-variables", "kernel_id": "6347003"}, {"ref": "roadfoodr/logistic-regression-f1-scoring", "kernel_id": "6402034"}, {"ref": "roadfoodr/logistic-regression-with-dummy-variables", "kernel_id": "6381042"}]}
{"competition_id": "16787", "kernels": []}
{"competition_id": "16788", "kernels": []}
{"competition_id": "16792", "kernels": []}
{"competition_id": "16794", "kernels": []}
{"competition_id": "16795", "kernels": []}
{"competition_id": "16797", "kernels": [{"ref": "ouwyukha/ucsd-fastfm", "kernel_id": "9163403"}, {"ref": "ouwyukha/pda-fastfm", "kernel_id": "9185570"}, {"ref": "ouwyukha/pda-surprise", "kernel_id": "9200608"}, {"ref": "ouwyukha/pda-turicreate-rankingfactorizationrecommender-pol", "kernel_id": "9208554"}]}
{"competition_id": "16799", "kernels": []}
{"competition_id": "16800", "kernels": []}
{"competition_id": "16801", "kernels": []}
{"competition_id": "16802", "kernels": []}
{"competition_id": "16804", "kernels": []}
{"competition_id": "16808", "kernels": [{"ref": "annbengardt/mljar-automl", "kernel_id": "45259496"}]}
{"competition_id": "16812", "kernels": []}
{"competition_id": "16814", "kernels": []}
{"competition_id": "16822", "kernels": [{"ref": "ceferra/kernel230df9052a", "kernel_id": "6323905"}]}
{"competition_id": "16824", "kernels": []}
{"competition_id": "16838", "kernels": []}
{"competition_id": "16847", "kernels": []}
{"competition_id": "16854", "kernels": [{"ref": "workstory/kernelc0bf602703", "kernel_id": "6397627"}]}
{"competition_id": "16856", "kernels": []}
{"competition_id": "16858", "kernels": []}
{"competition_id": "16864", "kernels": [{"ref": "arddhanaza/kernelarddhan", "kernel_id": "8281137"}, {"ref": "assulthoni/ton-notebook-example", "kernel_id": "8246800"}, {"ref": "jackzay/zay-s-notebook", "kernel_id": "8292979"}, {"ref": "achmadakbar/wc999", "kernel_id": "8256328"}, {"ref": "riarahmawati/predict-ria", "kernel_id": "8330280"}, {"ref": "zeeniye/updated-price-predict-house-king-county", "kernel_id": "8248588"}]}
{"competition_id": "16865", "kernels": []}
{"competition_id": "16867", "kernels": []}
{"competition_id": "16869", "kernels": [{"ref": "xlebnick/kernel322231b745", "kernel_id": "6375303"}]}
{"competition_id": "16880", "kernels": [{"ref": "vipulgandhi/how-to-develop-deep-learning-models-with-keras", "kernel_id": "6691235"}, {"ref": "rishabhds/eda-videos", "kernel_id": "7424637"}, {"ref": "user155897/video-tools", "kernel_id": "7417440"}, {"ref": "timesler/guide-to-mtcnn-in-facenet-pytorch", "kernel_id": "7344371"}, {"ref": "timesler/fast-mtcnn-detector-55-fps-at-full-resolution", "kernel_id": "7398331"}, {"ref": "timesler/comparison-of-face-detection-packages", "kernel_id": "7092315"}, {"ref": "timesler/facial-recognition-model-in-pytorch", "kernel_id": "7007261"}, {"ref": "skylord/deepfake-face-clusters-using-rapids", "kernel_id": "7940197"}, {"ref": "skylord/starter-kernel-for-inference-on-capsule-networks", "kernel_id": "7984492"}, {"ref": "skylord/face-clustering", "kernel_id": "7891244"}, {"ref": "adaubas/a-solution-to-submissions-csv-not-found", "kernel_id": "7531728"}, {"ref": "rhysie/deepfake-detection-with-simple-features-0-73", "kernel_id": "7219914"}, {"ref": "aknirala/singlevalue", "kernel_id": "7643850"}, {"ref": "brassmonkey381/a-quick-look-at-the-first-frame-of-each-video", "kernel_id": "7008665"}, {"ref": "wittmannf/detecting-faces-using-opencv-mtcnn-no-internet", "kernel_id": "7032848"}, {"ref": "mitya8128/cnn-lstm", "kernel_id": "7395504"}, {"ref": "hmendonca/proper-clustering-with-facenet-embeddings-eda", "kernel_id": "7494012"}, {"ref": "paulorzp/one-line-submission-lb-0-69314", "kernel_id": "7007820"}, {"ref": "humananalog/video-speed-test", "kernel_id": "7226170"}, {"ref": "humananalog/starter-blazeface-pytorch", "kernel_id": "7257327"}, {"ref": "humananalog/examine-mp4-files-with-python-only", "kernel_id": "7042372"}, {"ref": "humananalog/binary-image-classifier-training-demo", "kernel_id": "7704426"}, {"ref": "humananalog/inference-demo", "kernel_id": "7690202"}, {"ref": "edgarriba/kornia-data-augmentation", "kernel_id": "7696868"}, {"ref": "robikscube/kaggle-deepfake-detection-introduction", "kernel_id": "7008916"}, {"ref": "robikscube/faceforensics-baseline-dlib-no-internet", "kernel_id": "7054144"}, {"ref": "mpware/eda-faces-statistics", "kernel_id": "7287322"}, {"ref": "artgor/baseline", "kernel_id": "7006268"}, {"ref": "gpreda/deepfake-starter-kit", "kernel_id": "7017043"}, {"ref": "willblock/transform-data-image-classification", "kernel_id": "7934588"}, {"ref": "pankajshr/facial-recognition-model-in-pytorch", "kernel_id": "7435486"}, {"ref": "carlossouza/embeddings-grouping-similar-faces-automagically", "kernel_id": "7351369"}, {"ref": "carlossouza/face-detection-in-a-couple-of-lines-with-dlib", "kernel_id": "7054628"}, {"ref": "neiromantik/dfdc-dlib-based-fake-prediction-pipeline-using-cnn", "kernel_id": "7668213"}, {"ref": "bootiu/deepfake-trainer", "kernel_id": "7066193"}, {"ref": "devgru/submission-sample", "kernel_id": "7515853"}, {"ref": "climbest/facial-recognition-model-in-pytorch-change-bias", "kernel_id": "7469803"}, {"ref": "jesperdramsch/intro-to-deep-fakes-videos-and-metadata-eda", "kernel_id": "7012809"}, {"ref": "grapestone5321/deepfake-sample-submission", "kernel_id": "7015273"}, {"ref": "tonychenxyz/random-outputs-attempts", "kernel_id": "7035693"}, {"ref": "xiaofengmao/kernel4b3a78098b", "kernel_id": "7654194"}, {"ref": "atam55/kernel17b7aa7f13", "kernel_id": "7635360"}, {"ref": "feifeizaici/a-simple-method-to-install-packages-offline", "kernel_id": "7453295"}, {"ref": "shawon10/face-detection-by-haarcascade-for-deepfake-videos", "kernel_id": "7470488"}, {"ref": "rakibilly/extract-audio-starter", "kernel_id": "7033432"}, {"ref": "funxexcel/deepfake-basic-code-with-internet", "kernel_id": "7856148"}, {"ref": "aleksandradeis/deepfake-challenge-eda", "kernel_id": "7039178"}, {"ref": "naushads/deepfake-eda", "kernel_id": "7169982"}, {"ref": "tombresee/reality-vs-fakeality", "kernel_id": "7034003"}, {"ref": "hamditarek/deepfake-detection-challenge-kaggle", "kernel_id": "7008424"}, {"ref": "techytushar/frame-size-and-video-length-eda", "kernel_id": "7017011"}, {"ref": "xinyiding/deepfake-single-frame", "kernel_id": "7377018"}, {"ref": "khoongweihao/deepfake-keras-cnn-starter-epoch-lr-eda", "kernel_id": "7586071"}, {"ref": "khoongweihao/frames-per-video-viz", "kernel_id": "7808440"}, {"ref": "openmark/extract-frames-from-video-files", "kernel_id": "7035814"}, {"ref": "manyregression/fastai-inference", "kernel_id": "7878112"}, {"ref": "pathofdata/dpn50", "kernel_id": "7507437"}, {"ref": "sriharihumbarwadi/random-baseline", "kernel_id": "7007311"}, {"ref": "sriharihumbarwadi/resize-and-extract-frames", "kernel_id": "7016665"}, {"ref": "ankitsainiankit/fork-of-my-inference-9679ae", "kernel_id": "7996272"}, {"ref": "nizamuddin/fa-c-k-e-detector", "kernel_id": "7736225"}, {"ref": "phunghieu/deepfake-detection-inference-baseline", "kernel_id": "7736443"}, {"ref": "phunghieu/deepfake-detection-training-baseline", "kernel_id": "7729756"}, {"ref": "phunghieu/deepfake-detection-data-preparation-baseline", "kernel_id": "7728694"}, {"ref": "phunghieu/loading-merging-multiple-kaggle-datasets-demo", "kernel_id": "7853622"}, {"ref": "phunghieu/deepfake-detection-face-extractor", "kernel_id": "7783009"}, {"ref": "phunghieu/dfdc-multiface-inference", "kernel_id": "7985837"}, {"ref": "phunghieu/dfdc-multiface-training", "kernel_id": "7983623"}, {"ref": "samacker77k/submission", "kernel_id": "7015678"}, {"ref": "tatatatata/deepfake", "kernel_id": "7212216"}, {"ref": "teeyee314/deepfake-detection-quick-eda-sample", "kernel_id": "7008325"}, {"ref": "revanthrex/my-deep-fake-solution", "kernel_id": "7955513"}, {"ref": "minhtam/face-detection-dlib-face-recognition-no-internet", "kernel_id": "7072767"}, {"ref": "minhtam/mesonet-result", "kernel_id": "7058003"}, {"ref": "minhtam/face-detection-with-cv2-one-line-code", "kernel_id": "7058997"}, {"ref": "minhtam/fake-detect-basic", "kernel_id": "7015529"}, {"ref": "wuliaokaola/public-test-set-probe", "kernel_id": "7763068"}, {"ref": "jitendrapurohit/deepfake-detection-model", "kernel_id": "7356551"}, {"ref": "itamargr/first-look-on-the-data", "kernel_id": "7055609"}, {"ref": "itamargr/an-efficient-method-for-unzipping-the-full-data", "kernel_id": "7284407"}, {"ref": "itamargr/transform-learning", "kernel_id": "7816682"}, {"ref": "yinglv/deepfake-starter-kit", "kernel_id": "7245983"}, {"ref": "drjerk/detect-faces-using-yolo", "kernel_id": "7035304"}, {"ref": "phoenix9032/basic-densenet169-training-kernel", "kernel_id": "7996157"}, {"ref": "phoenix9032/yet-another-deepfake-starter", "kernel_id": "7031119"}, {"ref": "phoenix9032/fake-audio-detector", "kernel_id": "7062326"}, {"ref": "zaharch/data-leak-in-metadata", "kernel_id": "7174216"}, {"ref": "zaharch/looking-at-the-full-train-set-metadata", "kernel_id": "7273384"}, {"ref": "zaharch/public-test-errors", "kernel_id": "7743441"}, {"ref": "nxhong93/deep-fake", "kernel_id": "7463602"}, {"ref": "debanga/submission-with-externally-trained-keras-model", "kernel_id": "7217193"}, {"ref": "debanga/kernel-150-256x256", "kernel_id": "7355597"}, {"ref": "debanga/2-ways-to-read-a-single-video-frame", "kernel_id": "7334276"}, {"ref": "raqeeb/deepfake-starter-data-exploration-with-mtcnn", "kernel_id": "7596285"}, {"ref": "prondeau/kernel14c3f0e66b", "kernel_id": "7949122"}, {"ref": "loaiabdalslam/kernel67770947f6", "kernel_id": "7025633"}, {"ref": "akihirokkkkk/simple-ja", "kernel_id": "7668234"}, {"ref": "akihirokkkkk/picture-cut", "kernel_id": "7680575"}, {"ref": "akihirokkkkk/why-submission-score-is-17-269386", "kernel_id": "7711748"}, {"ref": "xhlulu/deepfake-pretrain-densenet-on-face-classification", "kernel_id": "7123084"}, {"ref": "jazivxt/mysteries-of-sight-and-sound", "kernel_id": "7125821"}, {"ref": "ims0rry/inference-demo", "kernel_id": "7694669"}, {"ref": "mattbuarque/finding-deepfake-manipulation-through-clusters", "kernel_id": "7190612"}, {"ref": "lchkhetiani/kernel124827dc35", "kernel_id": "7516526"}, {"ref": "basharallabadi/yolov2-vs-faced-vs-blazeface-vs-mtcnn", "kernel_id": "7262389"}, {"ref": "tothbalazs0920/sequence-based-model-demo", "kernel_id": "7388220"}, {"ref": "chariots17/model-predict", "kernel_id": "7619503"}, {"ref": "chariots17/transfer-learning", "kernel_id": "7717913"}, {"ref": "gtownfoster/deepfake-detection", "kernel_id": "7019670"}, {"ref": "wuvinwkl/inference-with-error", "kernel_id": "7967013"}, {"ref": "kaggleurroad/deepfake-starter-kit", "kernel_id": "7889352"}, {"ref": "dreimd/facial-recognition-model-in-pytorch", "kernel_id": "7169511"}, {"ref": "avishekmishra/deepfake", "kernel_id": "7285117"}, {"ref": "piteryo/kernel69f291971a", "kernel_id": "7675243"}, {"ref": "kueno55/need-to-locate-the-face", "kernel_id": "7204824"}, {"ref": "kueno55/prediction-and-score-dependency", "kernel_id": "7463024"}, {"ref": "kmat2019/easy-way-to-detect-face", "kernel_id": "7063922"}, {"ref": "hooong/easy-package-manager", "kernel_id": "7677786"}, {"ref": "hooong/how-to-tpu", "kernel_id": "7919850"}, {"ref": "asromhain/dfc-baseline", "kernel_id": "7281318"}, {"ref": "imad2b/face-tracking-with-opencv", "kernel_id": "7850805"}, {"ref": "cookiecs/resnext-audio-video", "kernel_id": "7837767"}, {"ref": "nk464529/kernel6c635b5658", "kernel_id": "7014407"}, {"ref": "varunyadav17/deepfakedetection-initialdraft", "kernel_id": "7171144"}, {"ref": "niranjankumarc/deepfake-detection-challenge-starterguide", "kernel_id": "7042244"}, {"ref": "everyitfrombit/facenet-pytorch-yet-another-face-detector", "kernel_id": "7656523"}, {"ref": "unkownhihi/guide-to-setup-a-vm", "kernel_id": "7461270"}, {"ref": "unkownhihi/starter-kernel-with-cnn-model", "kernel_id": "7044470"}, {"ref": "unkownhihi/preprocessing-baseline-with-face-detection-mtcnn", "kernel_id": "7025570"}, {"ref": "unkownhihi/starter-kernel-with-cnn-model-ll-lb-0-69235", "kernel_id": "7317768"}, {"ref": "mmmarchetti/deep-fake-chalenge", "kernel_id": "7025346"}, {"ref": "mmmarchetti/importing-and-basics", "kernel_id": "7006651"}, {"ref": "mmmarchetti/inference-demo-ii", "kernel_id": "7799054"}, {"ref": "imoisharma/deepfake-starter-kit", "kernel_id": "7710359"}, {"ref": "imoisharma/deep-fake-detection-challenge", "kernel_id": "7968486"}, {"ref": "greatgamedota/xception-classifier-w-ffhq-training-lb-537", "kernel_id": "7971641"}, {"ref": "greatgamedota/xception-binary-classifier-inference", "kernel_id": "7972294"}, {"ref": "marcovasquez/basic-eda-face-detection-split-video-and-roi", "kernel_id": "7010284"}, {"ref": "deshwalmahesh/beginner-tutorial-deep-fake-eda-keras", "kernel_id": "7603377"}, {"ref": "henriquepeixoto/facerec-henrique-victor", "kernel_id": "7646577"}, {"ref": "joshuajhchoi/kaggle-deepfake-detection-introduction", "kernel_id": "7654583"}, {"ref": "venser/submit", "kernel_id": "7833530"}, {"ref": "tooshilow/starter-kernel-with-cnn-ll-lb-0-69306-no-leak", "kernel_id": "7370407"}, {"ref": "tooshilow/kernel2cf39b7d27", "kernel_id": "7109480"}, {"ref": "diegojohnson/compute-lb-score-directly-data-leak", "kernel_id": "7194133"}, {"ref": "saraswatitiwari/kernel5a38d26316", "kernel_id": "7388308"}, {"ref": "andrewgao/one-line-submission-lb-0-69314", "kernel_id": "7009968"}, {"ref": "andrewgao/simple-submission-top-3", "kernel_id": "7047024"}, {"ref": "andrewgao/facial-recognition-model-in-pytorch", "kernel_id": "7073327"}, {"ref": "jasonseu/kernel69ac00e566", "kernel_id": "7331224"}, {"ref": "wangping2/fake-detect-basic", "kernel_id": "7072854"}, {"ref": "rafaelcobabruges/deepfake-eda-modified-from-aleksandradeis", "kernel_id": "7500515"}, {"ref": "donghwankwon/data-preprocessing-team", "kernel_id": "7633655"}, {"ref": "wangvincent/kernel2ac7df5e53", "kernel_id": "7786127"}, {"ref": "nxrprime/frames-per-video-the-ultimate-helper", "kernel_id": "7927752"}, {"ref": "nxrprime/fork-of-frames-per-video-the-ultimate-helper", "kernel_id": "7930779"}, {"ref": "oleggribanov/kernel15b0383c69", "kernel_id": "7508050"}, {"ref": "saanikagupta/preprocessing-using-keras-opencv", "kernel_id": "7960290"}, {"ref": "arielroyzin/kernel5bf3dee36c", "kernel_id": "7866080"}, {"ref": "csnort/kernel7d846f183c", "kernel_id": "7988046"}, {"ref": "anlthms/video-classification-with-3d-resnet", "kernel_id": "8222543"}, {"ref": "yatinece/fork-of-fork-of-fork-of-xception-resnext-ensembl", "kernel_id": "8201023"}, {"ref": "yatinece/fork-of-fork-of-xception-resnext-ensemble-infer", "kernel_id": "8125767"}, {"ref": "agni147878/kernel3391d9cda9", "kernel_id": "8468340"}, {"ref": "sheldonrobinson/deepfake-video-tools", "kernel_id": "8630460"}, {"ref": "yassinealouini/face-extraction", "kernel_id": "8304178"}, {"ref": "timesler/facenet-pytorch-decord-process-every-frame", "kernel_id": "8128955"}, {"ref": "timesler/face-sequence-ensemble-inference", "kernel_id": "8531644"}, {"ref": "kukanov/resnext-audio-video", "kernel_id": "8235105"}, {"ref": "skylord/grad-cam-on-resnext", "kernel_id": "8383931"}, {"ref": "ruiknemui/kernel2daff60b56", "kernel_id": "8135992"}, {"ref": "vaillant/dfdc-3d-2d-inc-cutmix-with-3d-model-fix", "kernel_id": "8670039"}, {"ref": "pankymathur/gcloud-ensembling-learning-learning-rates", "kernel_id": "8526543"}, {"ref": "pankymathur/xception-resnext-ensemble-inference-cleaner", "kernel_id": "8053853"}, {"ref": "maralski/fork-of-ensemble-of-5-networks", "kernel_id": "8677460"}, {"ref": "am1to2/fast-face-extraction-using-dlib-gpu-notebook", "kernel_id": "8039730"}, {"ref": "mrwynx/proper-clustering-with-facenet-embeddings-eda", "kernel_id": "8327380"}, {"ref": "sorokin/smoothing-face-tracker", "kernel_id": "8894006"}, {"ref": "keremt/deepfake-video-benchmarking-nvidia-dali", "kernel_id": "8258832"}, {"ref": "keremt/deepfake-retinaface-detection-decord-gpu-dali", "kernel_id": "8242437"}, {"ref": "keremt/deepfake-retinaface-and-faceforensics", "kernel_id": "8288137"}, {"ref": "keremt/deepfake-single-frame-inference", "kernel_id": "8474447"}, {"ref": "pwilkin246/transform-data-image-classification", "kernel_id": "8032346"}, {"ref": "sidharthkumar/xception-resnext-ensemble-inference-cleaner", "kernel_id": "8069381"}, {"ref": "mpware/videoreaders-benchmark", "kernel_id": "8286288"}, {"ref": "jagannathrk/frames-per-video-viz", "kernel_id": "8278395"}, {"ref": "jb13579/simple-submission-edited", "kernel_id": "8280093"}, {"ref": "jb13579/deepfake-compare-real-fake", "kernel_id": "8217336"}, {"ref": "adityaroyal/gann-model-complete-code-aws", "kernel_id": "8002685"}, {"ref": "adityaroyal/model-predictions-gann", "kernel_id": "8090153"}, {"ref": "sudokill/pretrained-xception-with-face-from-first-frame", "kernel_id": "8198416"}, {"ref": "calebeverett/tf-nightly-2-2-0-dev20200311", "kernel_id": "8370716"}, {"ref": "calebeverett/dfdc-novice-approach", "kernel_id": "8806183"}, {"ref": "willblock/faceforensics-baseline", "kernel_id": "8032628"}, {"ref": "bootiu/efficientnet-single-model", "kernel_id": "8342909"}, {"ref": "pollgorm1/deepfakedetect-lstm-of-cnn", "kernel_id": "8208616"}, {"ref": "adarsh415/deepfake-detection-challenge", "kernel_id": "8074535"}, {"ref": "cedna198/identify-videos-with-facial-or-voice-manipulations", "kernel_id": "8985106"}, {"ref": "knightcao/kernel250dcb4fb4", "kernel_id": "8676324"}, {"ref": "mobasshir/comparison-of-face-detection-packages", "kernel_id": "8158423"}, {"ref": "lovemyself/kernel2425bfc4be", "kernel_id": "8199851"}, {"ref": "haitham82/kernel3caa3e006c", "kernel_id": "8363591"}, {"ref": "pedromoya/a-euler-in-kaer-morhen", "kernel_id": "8375900"}, {"ref": "pedromoya/b-euler-in-kaer-morhen", "kernel_id": "8565535"}, {"ref": "pedromoya/good-bye-dfdc", "kernel_id": "8734854"}, {"ref": "diamondsnake/deepfake-detection", "kernel_id": "8025608"}, {"ref": "leighplt/decord-videoreader", "kernel_id": "8183885"}, {"ref": "khoongweihao/xception-resnext-ensemble-inference", "kernel_id": "8044856"}, {"ref": "khoongweihao/gcloud-ensembling-learning-learning-rates", "kernel_id": "8127756"}, {"ref": "apoorwanand/codelabs", "kernel_id": "8310035"}, {"ref": "apoorwanand/deepfake-starter-kit", "kernel_id": "8309823"}, {"ref": "vostankovich/efnet6-ensemble-5-clip-1e-15", "kernel_id": "8673533"}, {"ref": "manyregression/fastai-big-inference", "kernel_id": "8604393"}, {"ref": "khahuras/blackborder-inference", "kernel_id": "8522656"}, {"ref": "ankitsainiankit/simple-submission", "kernel_id": "8217095"}, {"ref": "ankitsainiankit/fork-of-fork-of-assemble", "kernel_id": "8678213"}, {"ref": "shonenkov/final-kfold-inference-effb2", "kernel_id": "8681162"}, {"ref": "mohammadhatoum/ensemble-xception-v2-efficientnetb1-resnext50-flip", "kernel_id": "8684188"}, {"ref": "carlolepelaars/efficientnet2xb5-b6200-b6finetuned-b4-2xres-01clip", "kernel_id": "8666237"}, {"ref": "revanthrex/xception-resnext-ensemble-for-deepfake-0-45", "kernel_id": "8083831"}, {"ref": "revanthrex/xception-resnext-ensemble-inference-cle-69fb4d", "kernel_id": "8119370"}, {"ref": "revanthrex/gcloud-ensembling-learning-learning-rates", "kernel_id": "8252685"}, {"ref": "dthrone/are-test-labels-wrong", "kernel_id": "8040512"}, {"ref": "gopidurgaprasad/retinaface-demo", "kernel_id": "8070880"}, {"ref": "rohandeysarkar/deepfake-detection-image-eda", "kernel_id": "8165148"}, {"ref": "chandyalex/implementation-of-convolution-lstm-beginners-level", "kernel_id": "8665797"}, {"ref": "sherkt1/fake-audio-model-no-leaderboard-score", "kernel_id": "8208717"}, {"ref": "mont3z/fork-of-deepfake-transformer-971986", "kernel_id": "8674433"}, {"ref": "zaharch/dfdc-sub", "kernel_id": "8073467"}, {"ref": "nxhong93/deep-fake-predict", "kernel_id": "8028460"}, {"ref": "debanga/analysis-of-deepfake-submission-csv", "kernel_id": "8418314"}, {"ref": "sohyeonnn/somac-shsh", "kernel_id": "8739829"}, {"ref": "unofloristo/roi-supported-face-detection", "kernel_id": "8239086"}, {"ref": "caffeinism/leaderboard-visualize", "kernel_id": "8191392"}, {"ref": "caffeinism/gpu-inference-demo", "kernel_id": "8005898"}, {"ref": "xuhua0907/start-from-megadata", "kernel_id": "8099385"}, {"ref": "mstrome/binary-image-classifier-training-demo", "kernel_id": "8692363"}, {"ref": "jnesbit6/asw-load", "kernel_id": "8603572"}, {"ref": "jnesbit6/multi-model-head-ensambler", "kernel_id": "8668504"}, {"ref": "gibalegg/mtcnn-nextvlad", "kernel_id": "8608224"}, {"ref": "prateekagnihotri/dfdc-lrcn-inference-kernel-1", "kernel_id": "8682100"}, {"ref": "amartyamathew/dfdwithcrypto", "kernel_id": "8725976"}, {"ref": "plaggy/cnnlstm", "kernel_id": "8383648"}, {"ref": "plaggy/xception", "kernel_id": "8469387"}, {"ref": "davidbaofu/dfdc-eda-audio-and-video", "kernel_id": "8431415"}, {"ref": "kueno55/choosing-the-right-eps", "kernel_id": "8678344"}, {"ref": "bingdong/xception-classifier-w-ffhq-training", "kernel_id": "8135961"}, {"ref": "bingdong/xception-binary-classifier-inference", "kernel_id": "8138725"}, {"ref": "yufeng8607/inference-demo", "kernel_id": "8212093"}, {"ref": "unkownhihi/dfdc-lrcn-inference", "kernel_id": "8414538"}, {"ref": "unkownhihi/dfdc-lrcn-training", "kernel_id": "8428123"}, {"ref": "unkownhihi/mobilenet-face-extractor-comparison", "kernel_id": "8054268"}, {"ref": "unkownhihi/mobilenet-face-extractor-helper-code", "kernel_id": "8143704"}, {"ref": "unkownhihi/a-ton-ensemble", "kernel_id": "8690296"}, {"ref": "ramanareddyeceb/kernel54151e7253", "kernel_id": "8153241"}, {"ref": "ds123456/0987654321-zone", "kernel_id": "8649838"}, {"ref": "maremoto/deepfakes-not-only-for-faces", "kernel_id": "8700720"}, {"ref": "prasadkevin/deep-fake-final-code", "kernel_id": "8427803"}, {"ref": "marutama/fast-fake-face-only-extractor", "kernel_id": "8650376"}, {"ref": "greatgamedota/69th-place-solution-mobilenet-inference", "kernel_id": "8236131"}, {"ref": "greatgamedota/deepfake-detection-full-data", "kernel_id": "8306784"}, {"ref": "nofreewill/video-set-billions-of-slightly-different-images", "kernel_id": "8326974"}, {"ref": "zzk7love/kernel5644918970", "kernel_id": "8538174"}, {"ref": "mpdroid/dfdc-fastai-odds-and-ends", "kernel_id": "8712327"}, {"ref": "mpdroid/dfdc-fastai-siamese-training", "kernel_id": "8777844"}, {"ref": "mpdroid/dfdc-fastai-triplet-training", "kernel_id": "8769038"}, {"ref": "mpdroid/dfdc-face-extractor", "kernel_id": "8768884"}, {"ref": "waltiar/deep-fake-python", "kernel_id": "8197095"}, {"ref": "shankytyagi/kernelae25f7177f", "kernel_id": "8280903"}, {"ref": "meckdahl/checksubmittable-utility-function", "kernel_id": "8021088"}, {"ref": "josecarmona/ffmpeg-python-example-to-extract-audio-from-mp4", "kernel_id": "8109891"}, {"ref": "dkdud2/xception-classifier-w-ffhq-training-lb-555", "kernel_id": "8274328"}, {"ref": "arseniimustafin/notebook-draft", "kernel_id": "8222848"}, {"ref": "arseniimustafin/kernel2b9b3ee224", "kernel_id": "8570440"}, {"ref": "namanmehta1/deepfake-resnext101-top-solution", "kernel_id": "8190249"}, {"ref": "shimizumasaki/fast-and-stable-generator-for-training-set", "kernel_id": "8321741"}, {"ref": "itsmellslikeml/mtcnn-tracker", "kernel_id": "8002809"}, {"ref": "kimyoh/deepfake-demo-20190217", "kernel_id": "8003261"}, {"ref": "kimyoh/deepfake-20200218", "kernel_id": "8029102"}, {"ref": "kimyoh/deepfake-pytorch-train", "kernel_id": "8017776"}, {"ref": "kimyoh/preprocess-inference-demo", "kernel_id": "8071536"}, {"ref": "kimyoh/deepfake-resnet34-momentum-frame64", "kernel_id": "8128770"}, {"ref": "kimyoh/deepfake-resnext-train-explain0303", "kernel_id": "8175296"}, {"ref": "kimyoh/xception-classifier-w-ffhq-training-lb-cea3d2", "kernel_id": "8374422"}, {"ref": "kimyoh/kernel1a2c5df377", "kernel_id": "8235794"}, {"ref": "kimyoh/xception-classifier-w-ffhq-training-lb-555", "kernel_id": "8258595"}, {"ref": "tathagatbanerjee/video-analytics-the-deep-fake", "kernel_id": "8883681"}, {"ref": "nxrprime/mixing-up-ensembles", "kernel_id": "8546370"}, {"ref": "nxrprime/mesoinception4-simple-baseline-submission", "kernel_id": "8460724"}, {"ref": "nxrprime/ensembler-dfdc", "kernel_id": "8206048"}, {"ref": "nicolasfournier/cs404-submission-cnn-lstm", "kernel_id": "8653754"}, {"ref": "gmimg9/200318-submit-mtcnn-300frame-video", "kernel_id": "8461662"}, {"ref": "rastinajim/deepfake-detection", "kernel_id": "8645279"}, {"ref": "saanikagupta/blazeface-face-detection-broken-down", "kernel_id": "8473308"}, {"ref": "helloaugertron/deepfake-video-tools-train-test", "kernel_id": "8691812"}, {"ref": "ustczhq/kernel6debdbe04c", "kernel_id": "8211490"}, {"ref": "trilabs/deepdetect", "kernel_id": "8441299"}, {"ref": "xayaphonesalinthone/deepfake2", "kernel_id": "8285669"}, {"ref": "liangsu/xception-classifier-w-ffhq-training-lb-555", "kernel_id": "8228455"}, {"ref": "nicobonne/43-rank-ispl-ensamble-10-model", "kernel_id": "9099163"}, {"ref": "cesb45/deepfake-detection-leaderboard-scores", "kernel_id": "9089111"}, {"ref": "joycevarg/deepfaek-detector", "kernel_id": "9479310"}, {"ref": "cuihaoleo/dfdc-private-lb-4th-place-submission", "kernel_id": "9183661"}, {"ref": "debanga/96th-rank-inference-19-model-ensemble", "kernel_id": "9095982"}, {"ref": "ims0rry/dfdc-inference-15-lb-private", "kernel_id": "9097143"}, {"ref": "imad2b/sample-submission", "kernel_id": "9313605"}, {"ref": "akashadesai/deepfake-challenge-starter", "kernel_id": "9073267"}, {"ref": "samuelepino/shap-icpr2020-selective-explanation-example", "kernel_id": "9727743"}, {"ref": "samuelepino/shap-icpr2020-3dseg-frame-pred-statistics", "kernel_id": "9683437"}, {"ref": "samuelepino/shap-icpr2020-3d-segmentation-frame-pred", "kernel_id": "9527572"}, {"ref": "samuelepino/shap-icrp2020-very-high-n-samples-experiments", "kernel_id": "9527735"}, {"ref": "samuelepino/shap-icpr2020-grid-segmentation-frame-pred", "kernel_id": "9565892"}, {"ref": "samuelepino/shap-icpr2020-batch-experiments-3d-segmentation", "kernel_id": "9362383"}, {"ref": "jabberwock1/facial-recognition-model-in-pytorch", "kernel_id": "10480296"}, {"ref": "leader2199/long20173242", "kernel_id": "10849104"}, {"ref": "rushikesh999/facial-recognition-model-in-pytorch", "kernel_id": "10292814"}, {"ref": "vedurumudipriyanka/kernel603b17fa42", "kernel_id": "10175541"}, {"ref": "ukveteran/high-resolution-jma", "kernel_id": "11990995"}, {"ref": "syedmahmoodneuron/guide-to-mtcnn-in-facenet-pytorch", "kernel_id": "11216694"}, {"ref": "uds5501/deepfake-detection", "kernel_id": "12988789"}, {"ref": "keremt/dfdc-3d-2d-inc-cutmix-with-3d-model-fix", "kernel_id": "13369653"}, {"ref": "keremt/deepfake-single-frame-inference-demo", "kernel_id": "13390014"}, {"ref": "jianingsunjs4770/deepfake-based-on-image-noise-pattern", "kernel_id": "13512089"}, {"ref": "gitanjalin/my-deep-fake-solution", "kernel_id": "14865049"}, {"ref": "fangxina/dfdc-yuming-yao", "kernel_id": "14106147"}, {"ref": "monil99/frames", "kernel_id": "15955856"}, {"ref": "monil99/model1", "kernel_id": "15974939"}, {"ref": "idaoluoch/deepfake-eda-modeling", "kernel_id": "15317002"}, {"ref": "aakritiaggarwal/deepfake-based-on-image-noise-pattern", "kernel_id": "15948070"}, {"ref": "dvenkatasaisrihari/dfdc-3d-2d-inc-cutmix-with-3d-model-fix", "kernel_id": "15094337"}, {"ref": "yanischamplin/efficientnet-single-model", "kernel_id": "15738145"}, {"ref": "srijonichakraborty/fake-detect-basic", "kernel_id": "15951846"}, {"ref": "fanbyprinciple/deep-fake-recognition-with-mesonet", "kernel_id": "16964818"}, {"ref": "aakritiaggarwal/xception-resnext-ensemble-inference", "kernel_id": "16498828"}, {"ref": "yanischamplin/deepfake-yo", "kernel_id": "16347159"}, {"ref": "kartiksingla/deepfakes-detection", "kernel_id": "16260649"}, {"ref": "uds5501/deepfake-detection-training-baseline", "kernel_id": "17118376"}, {"ref": "uds5501/deepfake-detection-inference-baseline", "kernel_id": "17118385"}, {"ref": "uds5501/deepfake-detection-data-preparation-baseline", "kernel_id": "17421530"}, {"ref": "shivamnegi8917/deepfake-detection-data-preparation-baseline", "kernel_id": "17439469"}, {"ref": "shivamnegi8917/deepfake-detection-training-baseline", "kernel_id": "17439484"}, {"ref": "prasadaman/deefakes-detection-mtccn", "kernel_id": "17178243"}, {"ref": "karthikpc/project", "kernel_id": "17260420"}, {"ref": "itsmekarthikpc/final-project", "kernel_id": "17304722"}, {"ref": "cspinheiro/deepfake-detection-iv", "kernel_id": "19624356"}, {"ref": "cspinheiro/deepfake-detection-iii", "kernel_id": "19609971"}, {"ref": "favadhassanjaskani/facenets-code", "kernel_id": "20045903"}, {"ref": "harshalgadhe/deep-fake-detection", "kernel_id": "20863955"}, {"ref": "rhythmcam/objectdetector-very-simple-usage", "kernel_id": "21208999"}, {"ref": "violintiger/deepfakes-yolov2", "kernel_id": "21389117"}, {"ref": "amanasati1/deepfake-analysis", "kernel_id": "21075372"}, {"ref": "anuragsaraswat/deepfake", "kernel_id": "22303202"}, {"ref": "tabarkarajab/deepvoice", "kernel_id": "22965969"}, {"ref": "krumpr/deepfake", "kernel_id": "22916364"}, {"ref": "piyush357/deepfake-detection", "kernel_id": "23831044"}, {"ref": "divyanshuyadav/finalyear-fdinet59", "kernel_id": "24292236"}, {"ref": "error404ntfound404/comparison-of-face-detection-packages", "kernel_id": "24924750"}, {"ref": "sanju182k01/deepfake-detection1", "kernel_id": "25534913"}, {"ref": "wantingchen/face-detection-hw6", "kernel_id": "25790689"}, {"ref": "ericamostovoy/deep-fake-recognition-with-mesonet", "kernel_id": "25463084"}, {"ref": "luwenn/detect-faces-using-yolo", "kernel_id": "25848898"}, {"ref": "hongtaowang/deep-fake-recognition-with-mesonet-74d745", "kernel_id": "25885306"}, {"ref": "lnc2244/detect-faces-using-yolo", "kernel_id": "25830901"}, {"ref": "leegary/detect-faces", "kernel_id": "25830866"}, {"ref": "lizhuhang/mtcnn-in-facenet-pytorch", "kernel_id": "25847627"}, {"ref": "gurutva10/dfdc-3d-2d-inc-cutmix-with-3d-model-fix", "kernel_id": "26991299"}, {"ref": "lucasmigliorindarosa/deepfake-detection", "kernel_id": "26178002"}, {"ref": "hongtaowang/deepfake-detection", "kernel_id": "26646991"}, {"ref": "matthewgitlin/deep-fake-recognition-with-mesonet-74d745", "kernel_id": "26802730"}, {"ref": "sssanfeng/guide-to-mtcnn-in-facenet-pytorch", "kernel_id": "26464381"}, {"ref": "sssanfeng/comparison-of-face-detection-packages", "kernel_id": "26464427"}, {"ref": "nownnown/deepfake-detection1-8c5464", "kernel_id": "26029235"}, {"ref": "nownnown/deepfake-efficientnet", "kernel_id": "26083387"}, {"ref": "mahoy00/dfdc-demo", "kernel_id": "27524755"}, {"ref": "sanju182k01/fork-of-deepfake-detection1", "kernel_id": "27221422"}, {"ref": "hong1819/fast-mtcnn-detector-52-fps-at-full-resolution", "kernel_id": "27863345"}, {"ref": "krooz0/deep-fake-detection-on-images-and-videos", "kernel_id": "28515603"}, {"ref": "haonancheng/dfdc-eda", "kernel_id": "28324105"}, {"ref": "muzammilahmadfastnu/deep-fake-detection-on-images-and-videos", "kernel_id": "29682175"}, {"ref": "joshuaokolo/deepfake-detection", "kernel_id": "29832032"}, {"ref": "shivangjay/deep-fake-detection-on-images-and-videos-22cda1", "kernel_id": "29173895"}, {"ref": "ebouteillon/d3fc0n-solutions-lb-0-894", "kernel_id": "30315965"}, {"ref": "nihaathahmad/deep-fake-detection-on-images-and-videos", "kernel_id": "30847493"}, {"ref": "haytamqadadri23/dataprot-lab-session-deepfake-detection", "kernel_id": "31416000"}, {"ref": "zory233/dfdc-3d-2d-inc-cutmix-with-3d-model-fix", "kernel_id": "31122200"}, {"ref": "aarony1n/deepfake-detection", "kernel_id": "33417796"}, {"ref": "gautam20bce1227/fake-detection-on-images", "kernel_id": "35303487"}, {"ref": "a1akashchauhan/deepfake-detection", "kernel_id": "35164578"}, {"ref": "ayushmehar7/fake-audio-detector-beta", "kernel_id": "36715267"}, {"ref": "kirteeprajapati/df-kirteev", "kernel_id": "36331827"}, {"ref": "gauravjshrivastava/deepfake-mesonet", "kernel_id": "36424696"}, {"ref": "gauravjshrivastava/deepfake-detection-mesonet", "kernel_id": "36253551"}, {"ref": "konicaranjan/fake-audio-detector", "kernel_id": "36371835"}, {"ref": "abdelfattahboulahia/deepfake-challenge-eda", "kernel_id": "36949367"}, {"ref": "besadaa/mobilenet-face-extractor-comparison", "kernel_id": "37420479"}, {"ref": "niloofarh/deep-fake-detection-on-images-and-videos", "kernel_id": "37837501"}, {"ref": "foreveralove/diplomadetectfaces", "kernel_id": "38567650"}, {"ref": "nanduncs/test-dfdc", "kernel_id": "38347181"}, {"ref": "sharkx9/deep-fake-detection-on-images-and-videos-shrk", "kernel_id": "38043159"}, {"ref": "abhilashsampath/faceforensics-baseline-dlib-no-internet", "kernel_id": "38715331"}, {"ref": "gyansuri/image-mi-learning1", "kernel_id": "39076489"}, {"ref": "rammcena/dfc-baseline-21msr006", "kernel_id": "39353023"}, {"ref": "abdelazizqarbal/deepfake-challenge-eda", "kernel_id": "40032911"}, {"ref": "ankitbhagasra1/deepfake-video-detection", "kernel_id": "40337894"}, {"ref": "sagarnailwal/deepfake-detection", "kernel_id": "42528886"}, {"ref": "emmanuelpintelas/convert-video-to-image-data", "kernel_id": "42094041"}, {"ref": "nunthapongvangtal/deep-fake-detection-on-images-and-videos", "kernel_id": "42726061"}, {"ref": "noppawatkraipitukkul/kernel4f8551d841", "kernel_id": "42725800"}, {"ref": "gpreda/deepfake-exploratory-data-analysis", "kernel_id": "43251569"}, {"ref": "tanay654321/deep-fake-video-classification-part1", "kernel_id": "43089529"}, {"ref": "sahilsheikh/deep-fake-detection-on-images-and-videos", "kernel_id": "45030104"}, {"ref": "vivekgotecha/deep-fake-detection-using-cnn-rnn", "kernel_id": "45369850"}, {"ref": "hng341/faceforensics-baseline", "kernel_id": "45609586"}, {"ref": "hng341/project-2-eda-detect-manipulated-facial", "kernel_id": "45866660"}, {"ref": "sangemjayaprakash/deepfake-detection", "kernel_id": "45267142"}, {"ref": "apuravsharma2702/deepfake-detection", "kernel_id": "45324271"}, {"ref": "kaitoune/deepfake-sc203", "kernel_id": "45632476"}, {"ref": "mohammedosamah/notebooka9832a65c0", "kernel_id": "46424577"}, {"ref": "lucifer9514/face-detection", "kernel_id": "46766260"}, {"ref": "nirmalgaud/deep-fake-classification", "kernel_id": "47914120"}, {"ref": "lornet/face-detection-approaches", "kernel_id": "47582428"}, {"ref": "sathvikvadarevu/cnn-rnn-based-fullcode", "kernel_id": "47435743"}, {"ref": "sathvikvadarevu/dfdc-cnn", "kernel_id": "47073809"}, {"ref": "nirmalgaud/google-vit", "kernel_id": "48005222"}, {"ref": "amanykaram/face-detaction", "kernel_id": "48277139"}, {"ref": "rifatmamayusupov/faceforensics-baseline-dlib-no-internet", "kernel_id": "48471499"}, {"ref": "omarashraf363/deep-fake-detection-on-images-and-videos", "kernel_id": "48458789"}, {"ref": "ubaydulloasatullaev/cnn-rnn-based-deepfake", "kernel_id": "49640415"}, {"ref": "ananthacauvery/deep-fake-classification", "kernel_id": "49578319"}, {"ref": "kareemturk/cnn-rnn-based-deepfake", "kernel_id": "50861462"}, {"ref": "karthik0009/guide-to-mtcnn-in-facenet-pytorch", "kernel_id": "50453894"}, {"ref": "hariomhsingh/notebook47b59284d5", "kernel_id": "50610684"}, {"ref": "klaussss/cnn-rnn-based-deepfake", "kernel_id": "50543965"}, {"ref": "jayati02/deepfake-detection-using-machine-learning", "kernel_id": "50506144"}, {"ref": "komalchavand/deep-fake-detection-on-images-and-videos", "kernel_id": "50938941"}, {"ref": "relpek/face-recognition-detection-in-facenet-pytorch", "kernel_id": "51266940"}, {"ref": "shreyanshmanavshukla/deepfake-detection-using-cnn-vision-transformer", "kernel_id": "51650047"}, {"ref": "kishanjesalpura/xception-resnext-ensemble-inference", "kernel_id": "51814494"}, {"ref": "pinkypp/deep-fake-detection-on-images-and-videos", "kernel_id": "51501554"}, {"ref": "kranthibandari/deep-fake-detection-on-images-and-videos", "kernel_id": "51445804"}, {"ref": "komalchavand/deepfake-detection-for-image-video-audio", "kernel_id": "51205048"}, {"ref": "ntntutorials/ntn-deep-fake-detection", "kernel_id": "51521867"}, {"ref": "ntntutorials/deepfake-detection-2", "kernel_id": "51278418"}, {"ref": "monikabattula/generative-ai-deepfake-detection", "kernel_id": "52172071"}, {"ref": "sandhitkarmakar/deepfake-sandhit-21bai1743", "kernel_id": "52722766"}, {"ref": "farithahamed/deep-fake-detection-on-images-and-videos", "kernel_id": "52349277"}, {"ref": "tabassumbristy/faceforensics-baseline-dlib-no-internet", "kernel_id": "52012240"}, {"ref": "jimmy98/faceforensics-baseline-dlib-no-interne-ba716f", "kernel_id": "52232754"}, {"ref": "debanjanmalakar1/deepfake-video-model", "kernel_id": "52166851"}, {"ref": "laksshaysehrawat/faceforensics-baseline-dlib-no-internet", "kernel_id": "53551569"}, {"ref": "prajwalkumarbhat/cnn-rnn-code", "kernel_id": "53566641"}, {"ref": "nithyasreej/deepfake-videomodel", "kernel_id": "53899728"}, {"ref": "satwikkishore/cnn-rnn-based-deepfake", "kernel_id": "53090218"}, {"ref": "krishnasharma7/dfdc-hackathon", "kernel_id": "53197129"}, {"ref": "advaitdongre/final-deepfake-video-detection", "kernel_id": "53017571"}, {"ref": "vijaymadaan7/deepfake-video-model", "kernel_id": "53176323"}, {"ref": "selmayyildiz/deep-fake-detection", "kernel_id": "53632898"}, {"ref": "shreyanshmanavshukla/deepfake-detection", "kernel_id": "54009131"}, {"ref": "rohaninamdar/deepfake-detection-using-cnn-rnn", "kernel_id": "54691513"}, {"ref": "mohdishaque86/aai-mini-prjt-deepfake-detection", "kernel_id": "54255562"}, {"ref": "acharyavarad/deep-fake-video-classification", "kernel_id": "54619546"}, {"ref": "venkatakeerthimatta/a-hybrid-gru-cnn-approach", "kernel_id": "54726437"}, {"ref": "vrbalaji/deep-fake-detection-on-images-and-videos-9df6cf", "kernel_id": "55899393"}, {"ref": "chihnita/deep-fake-image-detection", "kernel_id": "55268824"}, {"ref": "kuldeepprasadds321/fake-video-image-detection", "kernel_id": "55603515"}, {"ref": "venkatakeerthimatta/a-hybridgru-gru-approach", "kernel_id": "55134718"}, {"ref": "prathamg24/pg-df-inno", "kernel_id": "55451014"}, {"ref": "junjun213/cnn-rnn-based-deepfake", "kernel_id": "55070253"}, {"ref": "keerthi124/a-hybridgru-gru-approach", "kernel_id": "55248656"}, {"ref": "shivamsingh0204/fake-video-image-detection", "kernel_id": "55772113"}, {"ref": "youssefraafat1/dfdc-yuming-yao", "kernel_id": "56848735"}, {"ref": "samuvel2223/deepfake-detection-tryit", "kernel_id": "56054912"}, {"ref": "sreejanandyala/deep-fake-detection-on-images-and-videos", "kernel_id": "56023634"}, {"ref": "muhammadhusban/deepfake-detection", "kernel_id": "57670601"}, {"ref": "muhammadhusban/faaceswap", "kernel_id": "57686215"}, {"ref": "naman3007/efficientnet-single-model", "kernel_id": "57298493"}, {"ref": "rohitdrathod/deepfake", "kernel_id": "57269887"}, {"ref": "nddrgi/cv-final", "kernel_id": "58573860"}, {"ref": "malakkhashab/deepfake-starter-kit", "kernel_id": "58316950"}, {"ref": "saijahnavipasumarthi/notebook139318a58e", "kernel_id": "59206374"}, {"ref": "saijahnavipasumarthi/deep-fake-final", "kernel_id": "59249655"}, {"ref": "saijahnavipasumarthi/celeb-df", "kernel_id": "59070121"}, {"ref": "adi253/deepfakedetection-preprocessing", "kernel_id": "59197509"}, {"ref": "muthuramalakshmiki/deepfake-video-model-mrl", "kernel_id": "59884836"}, {"ref": "anikethreddy123998/heatmap-detection", "kernel_id": "60158664"}, {"ref": "jnithyasree/dfvideomodelvit", "kernel_id": "60925493"}, {"ref": "srinivasladi/deepfake-detection", "kernel_id": "61903957"}, {"ref": "vedantdeshmukh6913/guide-to-mtcnn-in-facenet-pytorch", "kernel_id": "61408729"}, {"ref": "chaitanyakodali/deep-fake-task", "kernel_id": "62596613"}, {"ref": "vishnubhattacharya/deepfake-detection", "kernel_id": "63085881"}, {"ref": "harshchinchakar9921/5-deepfake-model", "kernel_id": "63022588"}, {"ref": "gokul20mis0332/mohan-rajan", "kernel_id": "64776254"}, {"ref": "rishirih/deep-fake-detection-on-images-and-videos", "kernel_id": "64928663"}, {"ref": "rohitjakkam/deepfake-detection", "kernel_id": "64828951"}, {"ref": "aniketsa/deepfake-detection", "kernel_id": "64059755"}, {"ref": "adribhattacharjee02/deepfakedetectorpreprocessing", "kernel_id": "64619049"}, {"ref": "roguee56/deepfake-detection", "kernel_id": "64230201"}, {"ref": "kushagra1303/notebookfb50348935", "kernel_id": "64890938"}, {"ref": "vijaydevane/deepfakedetectiontraining", "kernel_id": "65362037"}, {"ref": "bhavay192/deepfake-detection", "kernel_id": "65139224"}, {"ref": "krisgamingtm/ensemble-deepstack", "kernel_id": "65178690"}, {"ref": "platinumj/kaggle-deepfake-detection", "kernel_id": "65714224"}, {"ref": "armanchaudhary/deepfake-detection-using-cnn", "kernel_id": "65802697"}, {"ref": "armanchaudhary/increasing-the-accuracy-of-the-model", "kernel_id": "65955631"}, {"ref": "armanchaudhary/prediction-xception5o", "kernel_id": "65984928"}, {"ref": "shivrajdeb/aai-mini-prjt-deepfake-detection", "kernel_id": "65446379"}, {"ref": "shivrajdeb/notebookfb50348935", "kernel_id": "65498167"}, {"ref": "adribhattacharjee02/frepnet", "kernel_id": "65271769"}, {"ref": "garvitcpp/ntn-deep-fake-detection", "kernel_id": "65079910"}, {"ref": "muskaandas/final-capsnet", "kernel_id": "65361871"}, {"ref": "agamrampal/sih-dfdc", "kernel_id": "65496075"}, {"ref": "arnavarora3/1stdeepfake", "kernel_id": "65910322"}, {"ref": "eshitvagoyal/deepfake-detection", "kernel_id": "65061679"}, {"ref": "moheshfyp/xception-classifier-w-ffhq-training-lb-555", "kernel_id": "65042547"}, {"ref": "moheshfyp/video-classification-with-3d-resnet", "kernel_id": "65075516"}, {"ref": "moheshfyp/deep-fake-detection-on-images-and-videos", "kernel_id": "65075253"}, {"ref": "mahafinalyearproject/xception-classifier-w-ffhq-training-lb-555", "kernel_id": "65043965"}, {"ref": "mahafinalyearproject/xception-binary-classifier-inference-54e3c2", "kernel_id": "65047850"}, {"ref": "vijay8376/deepfake-starter-kit", "kernel_id": "65160284"}, {"ref": "yohanavishke/deepfake-detection", "kernel_id": "66483880"}, {"ref": "bhavingami/deep-fake-classification", "kernel_id": "66969512"}, {"ref": "vishalvrk/deepfake-video-detection", "kernel_id": "66810513"}, {"ref": "yuvisolanki/notebook6ffce47b01", "kernel_id": "66057915"}, {"ref": "pandharkardeep/deepfake-detection-face-extractor", "kernel_id": "66722088"}, {"ref": "dcoder006/resnet50", "kernel_id": "66195489"}, {"ref": "rohitashvakumawat/deep-fake-classification", "kernel_id": "66989679"}, {"ref": "deepsupport/deep-fake-classification", "kernel_id": "66431317"}, {"ref": "adityants/defake-ai", "kernel_id": "66895286"}, {"ref": "olkooleh/hdf-fd-deepfake-training", "kernel_id": "67034456"}, {"ref": "olkooleh/hdf-fd", "kernel_id": "67473082"}, {"ref": "bhavingami/deep-fake-classification-cnn-rnn-based", "kernel_id": "67870957"}, {"ref": "zubenathineno/deepfake-detection-in-videos-using-mtcnn", "kernel_id": "67823794"}, {"ref": "zubenathineno/deepfake-detection-in-videos", "kernel_id": "67151180"}, {"ref": "buianh0803/deepfake-detection-challenge", "kernel_id": "67834032"}, {"ref": "abeldaison/notebookba2678e81b", "kernel_id": "68302851"}, {"ref": "mingyan111/guide-to-mtcnn-in-facenet-pytorch", "kernel_id": "68553014"}, {"ref": "yeagercai/guide-to-mtcnn-in-facenet-pytorch", "kernel_id": "68553124"}, {"ref": "albin221707/deepfake-projectt", "kernel_id": "68151250"}, {"ref": "pranaydeepkorada/deepfake-detection-using-cnn-rnn", "kernel_id": "69988305"}, {"ref": "syedowaisnawaz/deepfakedetection-60-frame-3", "kernel_id": "69656974"}, {"ref": "poojadeepak/fake-detection", "kernel_id": "69863418"}, {"ref": "ikrima123/project", "kernel_id": "69783525"}, {"ref": "vishalvrk/deepfake-video", "kernel_id": "70945018"}, {"ref": "vamsimohanbangale/deepfakedetection", "kernel_id": "70072243"}, {"ref": "srijitasaha/deepfake-detection", "kernel_id": "70893780"}, {"ref": "rohithaaiswarya/deep-fake-classification", "kernel_id": "70662418"}, {"ref": "rohithaaiswarya/deep-fake-classification-523068", "kernel_id": "70755566"}, {"ref": "rohithaaiswarya/deepfake-detection-using-cnn-rnn", "kernel_id": "70601973"}, {"ref": "mayankaggarwal2003/deepfakeimagevideo1-final", "kernel_id": "70922785"}, {"ref": "aayush4444/deep-fake-detection", "kernel_id": "70029920"}, {"ref": "trnvnht/deepfake", "kernel_id": "70380108"}, {"ref": "aniishdas/deep-fake-detection-on-images-and-videos", "kernel_id": "70950948"}, {"ref": "andriiivasechko/hdf-fd", "kernel_id": "70125772"}, {"ref": "pranaydeepkorad/deepfake-detection-using-cnn-rnn-63b287", "kernel_id": "70902924"}, {"ref": "rachitjaiswal03/deepfake-detection", "kernel_id": "70663980"}, {"ref": "mayankaggarwal2003/mydeppfake", "kernel_id": "71010987"}, {"ref": "seeerin/fork-of-notebook07fbff8c88", "kernel_id": "71782315"}, {"ref": "seeerin/notebook07fbff8c88", "kernel_id": "71625829"}, {"ref": "andriiivasechko/deepfake-0", "kernel_id": "71077550"}, {"ref": "lapenk0/lab4-definition-of-deepfake", "kernel_id": "71830699"}, {"ref": "yeonaaaaaaaa/notebook76d9b1b0c8", "kernel_id": "71909949"}, {"ref": "omarkouta/deepfakeass", "kernel_id": "72205161"}, {"ref": "vthanuja/combination", "kernel_id": "72506908"}, {"ref": "sandeepchintakayala/deepfake-detection", "kernel_id": "72384708"}, {"ref": "ngocanh78731312/deepfake-detection-finall", "kernel_id": "72479523"}, {"ref": "mayxxxx/deep-fake-detection-on-images-and-videos", "kernel_id": "72274245"}, {"ref": "ayarayan/deepfake-v2-chdata-alexnet", "kernel_id": "72277556"}, {"ref": "ayarayan/chda-50vid-300", "kernel_id": "72239656"}, {"ref": "mohamedrizk21/deep-fake-detection-challenge", "kernel_id": "72862032"}, {"ref": "chvnpravallika/deepfake-detection", "kernel_id": "72424280"}, {"ref": "ongchun/jia-jing-project", "kernel_id": "73985716"}, {"ref": "prithvi2000/deepfake-detection", "kernel_id": "73130203"}, {"ref": "abdelrahman257/notebook1f4667ed10", "kernel_id": "73675486"}, {"ref": "abdelrahman257/notebook23c1c313fa", "kernel_id": "73728325"}, {"ref": "adityaop/deepfake-starter-kit", "kernel_id": "73891574"}, {"ref": "irmajuanitawijayanti/final-project-irma-wijayanti", "kernel_id": "73351004"}, {"ref": "mohankirushnar007/deepfake-detection-in-videos-using-mtcnn", "kernel_id": "73297454"}, {"ref": "ahmeddd11/notebook4bbff727de", "kernel_id": "73744093"}, {"ref": "ahmeddd11/notebook23c1c313fa", "kernel_id": "73738325"}, {"ref": "zeynepkose/vitmodel", "kernel_id": "74231865"}, {"ref": "krishmavani/deepfake-22cs027", "kernel_id": "74199814"}, {"ref": "udaysaichalla/major-project", "kernel_id": "74857577"}, {"ref": "therealeye/deepfakedetectorpreprocessing2-o", "kernel_id": "74523580"}, {"ref": "bhavika78/deepfake", "kernel_id": "75717083"}, {"ref": "rohitjadhav2k5/deep-fake-detection-on-images-and-videos", "kernel_id": "76984129"}, {"ref": "ramvikassv/deep-fake-detection-videos-b1749f", "kernel_id": "77951223"}, {"ref": "mansisingh0510/deepfakedetection", "kernel_id": "77194142"}, {"ref": "abhiyanampally/deepfake", "kernel_id": "77884294"}, {"ref": "huongvothingoc/notebookabff438345", "kernel_id": "77658095"}, {"ref": "oksanka895/deepfake-0", "kernel_id": "77043415"}, {"ref": "hemangbansal27/deep-fake-detection-on-images", "kernel_id": "78639680"}, {"ref": "samrudhdhondi/deep-fake-detection", "kernel_id": "78692332"}, {"ref": "geetanshugarg28/deep-fake-detection-on-images", "kernel_id": "78638146"}, {"ref": "sayedrocky/deepfake-detection-using-machine-learning", "kernel_id": "78090074"}, {"ref": "sanikanareshbutle/deep-fake-classification", "kernel_id": "78485991"}, {"ref": "sovanbhakta/deep-fake-detection-on-images-and-videos-final", "kernel_id": "78907812"}, {"ref": "badarsoftwareeng/deep-fake-detection-on-images-and-videos", "kernel_id": "79078113"}, {"ref": "maravaman/deepfake-detection", "kernel_id": "79314394"}, {"ref": "sanikanareshbutle/deepfake-detection", "kernel_id": "79360187"}, {"ref": "birla007/deepfake-detection", "kernel_id": "79386102"}, {"ref": "oksanka895/deepfake-starter-kit", "kernel_id": "79321085"}, {"ref": "sachin1508/deepfake-detection", "kernel_id": "79386554"}, {"ref": "madhavdeshatwad/deepfake-detection", "kernel_id": "80585186"}, {"ref": "adi253/deepfake-novelty", "kernel_id": "80338073"}, {"ref": "shivshankareppa/deepfack", "kernel_id": "80758409"}, {"ref": "nirmalgaud/deep-fake-classification-new", "kernel_id": "81204095"}, {"ref": "sriyaguttikonda/extract-frames-from-video-files", "kernel_id": "81897390"}, {"ref": "vijayvkb98/training-deepfake-detection", "kernel_id": "81103982"}, {"ref": "utkarshgoel23/cnn-fe-for-future", "kernel_id": "81948015"}, {"ref": "utkarshgoel23/faceforensics-baseline-dlib-no-internet", "kernel_id": "81305024"}, {"ref": "shreyas200421/training-deepfake-detection", "kernel_id": "81784454"}, {"ref": "pragatik17/deep-fake-detection-on-images-and-videos", "kernel_id": "81043433"}, {"ref": "mukteshdey/ai-enabled-deepfake-detection-system", "kernel_id": "81092551"}, {"ref": "anurag519narula/deep-fake-detection-on-images", "kernel_id": "82796200"}, {"ref": "gokulnath05/deepfake-success-file", "kernel_id": "83147401"}, {"ref": "aseelhayajneh/deep-fake-detection-on-images", "kernel_id": "83823964"}, {"ref": "kimbbddrr/notebook68af008385", "kernel_id": "84432572"}, {"ref": "egoist/deepfake-detection-challenge-mle-notebook", "kernel_id": "84664381"}, {"ref": "rushikeshrrr/notebook3d9d246f1b", "kernel_id": "84480277"}, {"ref": "aryantomar001/notebook68af008385", "kernel_id": "85711316"}, {"ref": "sagartemp/resnet-efficientnet", "kernel_id": "86379271"}, {"ref": "chen115/deepfake-detection-challenge-mle-notebook-8c377d", "kernel_id": "86463807"}, {"ref": "karnamshyam/deepfake-cnn-final", "kernel_id": "87274558"}, {"ref": "karnamshyam/deepfake-convolstm-final", "kernel_id": "87277040"}, {"ref": "developersampad/deepfakedetcn-model-evaluation", "kernel_id": "87338223"}, {"ref": "nedaaalmansour/notebookddb4efc40f", "kernel_id": "88210692"}, {"ref": "anonnosingharay/efficientner-bilstm-temporalatten", "kernel_id": "88901805"}, {"ref": "satriarizki/deepfake-detect-xception-rnn", "kernel_id": "88809830"}, {"ref": "sanaalsmadi/notebookddb4efc40f", "kernel_id": "88194617"}, {"ref": "pranavahuja2005/deep-fake-detection-on-images-and-videos", "kernel_id": "89100945"}, {"ref": "rushikeshrr/notebook1b8b4362c4", "kernel_id": "90528511"}, {"ref": "kiahmonpara/lowquality", "kernel_id": "91404790"}, {"ref": "pallapusreenu/deepfake-starter-kit", "kernel_id": "91470363"}, {"ref": "tejuadedoyin/eda-exploration", "kernel_id": "92153445"}, {"ref": "seoyunje/what-is-important-in-face-cam-grad-cam", "kernel_id": "93378037"}, {"ref": "iemioxx/deep-fake-detection-on-images", "kernel_id": "93176588"}, {"ref": "milind23320/notebook8abf7ea527", "kernel_id": "93820640"}, {"ref": "debajyatidey/creating-dfdc-testing-dataset", "kernel_id": "94409886"}, {"ref": "prathmesh0kale/deepfake-test-maker", "kernel_id": "94210738"}, {"ref": "parthmongia/ml-project", "kernel_id": "95043261"}, {"ref": "mehvishbashir/notebookf61a33a48f", "kernel_id": "97993135"}, {"ref": "rinkam/eco-project-cnn", "kernel_id": "98467559"}, {"ref": "ihteshamkpc/deep-fake-detection-on-images", "kernel_id": "98885312"}, {"ref": "sarveshshimpi1/deepfake-convolstm-final", "kernel_id": "99326376"}, {"ref": "swarnabhr/xception-inference", "kernel_id": "100777083"}, {"ref": "deep0pandey/deepfake-detection", "kernel_id": "101307602"}, {"ref": "csakshi7/tier2-dfdc", "kernel_id": "102937658"}, {"ref": "navaneethkannanr/efficientner-bilstm-temporalatten-234", "kernel_id": "102978375"}, {"ref": "sissiflo/lipsync-v4-sisi", "kernel_id": "102865586"}, {"ref": "sissiflo/lipsync-v3-sisi", "kernel_id": "102847281"}, {"ref": "spicyramennoodles/lipsync-v3-sisi-2", "kernel_id": "103018877"}, {"ref": "samarthgupta04/notebook85bf12284d", "kernel_id": "103712998"}, {"ref": "sofianako/deepfake-detection", "kernel_id": "104594235"}, {"ref": "mogemy004/true-sight", "kernel_id": "104727572"}, {"ref": "gameryoulose/eraksha", "kernel_id": "106031608"}, {"ref": "deep0pandey/notebook05dfd73c9f", "kernel_id": "106759878"}, {"ref": "saivinayakula/deepfake", "kernel_id": "109691590"}, {"ref": "navaneethkannanr/concat-fusion-varshini", "kernel_id": "109965869"}, {"ref": "navaneethkannanr/gated-fusion-malavika", "kernel_id": "109963224"}, {"ref": "navaneethkannanr/attention-fusion-yogita", "kernel_id": "109963609"}, {"ref": "sohailasayedmohamed/deepfake-starter-kit", "kernel_id": "109092703"}, {"ref": "akshitrayal/deepfake-auditor-v1", "kernel_id": "110864756"}, {"ref": "alexanderkireev/08-ml-trainings-cv", "kernel_id": "113671238"}, {"ref": "saivinayakula/deep-fake-detection", "kernel_id": "113945656"}, {"ref": "shreyasmenon3008/notebook711fa0769f", "kernel_id": "113729762"}, {"ref": "kevinrizki/belajar-melatih-dataset", "kernel_id": "114094892"}, {"ref": "zziaaadd/deepfake-video-detection-vlast", "kernel_id": "115264678"}, {"ref": "takedax/notebook2b9b577153", "kernel_id": "115793680"}, {"ref": "aab6ss/notebook-9", "kernel_id": "118009172"}, {"ref": "benhafsiahouda/notebook-9", "kernel_id": "118006637"}, {"ref": "alisakour/notebook8e19260cc0", "kernel_id": "119729084"}, {"ref": "hiuphmc/notebook7d3562f9dd", "kernel_id": "119955713"}, {"ref": "kashifkhan63/kk189", "kernel_id": "122134880"}, {"ref": "jaikumarsuthar/deepshield-extract", "kernel_id": "125414891"}, {"ref": "raselahmed63840/faceforensics-baseline-dlib-no-internet", "kernel_id": "125992562"}, {"ref": "abderrahimbelaid2/mrs-bdai", "kernel_id": "126355726"}, {"ref": "mehedi23/deepfake-efficientnet-mehedi", "kernel_id": "129592010"}, {"ref": "shuvochakraborty35/full-final-2", "kernel_id": "130199179"}, {"ref": "brandonpian/deepfake-detection-notebook", "kernel_id": "130113217"}, {"ref": "brandonpian/deepfake-detection", "kernel_id": "130109237"}, {"ref": "astiksanjaypawar/deepfake-training", "kernel_id": "132309897"}, {"ref": "mertilovski/xdfdet-on-dfdc", "kernel_id": "135539390"}, {"ref": "mertilovski/xdfdet-quickstart", "kernel_id": "135542661"}, {"ref": "inhquc/kaggle-training", "kernel_id": "135321437"}, {"ref": "mehedi23/deepfake-merged-dataset", "kernel_id": "135991876"}, {"ref": "phngtrqun/deepfake", "kernel_id": "136221464"}, {"ref": "whissnguyen/notebook815b632f2e", "kernel_id": "136216499"}]}
{"competition_id": "16900", "kernels": []}
{"competition_id": "16901", "kernels": [{"ref": "cnpcshangbo/lab-2-part-2", "kernel_id": "60509101"}, {"ref": "abdulqadarmanasawala/pwaic-iris-flower-notebook", "kernel_id": "86684673"}]}
{"competition_id": "16902", "kernels": []}
{"competition_id": "16916", "kernels": [{"ref": "hanjoonchoe/flower-classification-with-pytorch", "kernel_id": "6972872"}]}
{"competition_id": "16927", "kernels": []}
{"competition_id": "16940", "kernels": []}
{"competition_id": "16952", "kernels": []}
{"competition_id": "16954", "kernels": [{"ref": "zlslrcs/fork-this-solution", "kernel_id": "6602458"}]}
{"competition_id": "16958", "kernels": []}
{"competition_id": "16960", "kernels": [{"ref": "onefourthlabs/dataloader-pytorch-code", "kernel_id": "6428995"}]}
{"competition_id": "16966", "kernels": []}
{"competition_id": "16967", "kernels": [{"ref": "onefourthlabs/dataloader-pytorch", "kernel_id": "6430174"}, {"ref": "babu916/vcmodel", "kernel_id": "11900291"}]}
{"competition_id": "16968", "kernels": []}
{"competition_id": "16972", "kernels": [{"ref": "linggarmaretva/frankfurt-hospital-diabetes-with-lgbmclassifier", "kernel_id": "17379665"}, {"ref": "suleakay/diabetes-classification", "kernel_id": "19034930"}, {"ref": "mohamedahmed2006/ass1-notebook", "kernel_id": "75948538"}]}
{"competition_id": "16981", "kernels": []}
{"competition_id": "16982", "kernels": [{"ref": "michaelhess17/introduction-to-kaggle-start-here", "kernel_id": "6438780"}]}
{"competition_id": "16990", "kernels": []}
{"competition_id": "17000", "kernels": [{"ref": "thirumani/categorical-feature-encoding-challenge", "kernel_id": "5629317"}, {"ref": "faressayah/data-science-best-practices-with-pandas-part-1", "kernel_id": "6064038"}, {"ref": "ccccat/let-s-overfit-some", "kernel_id": "7357778"}, {"ref": "abhishek/same-old-entity-embeddings", "kernel_id": "7337560"}, {"ref": "abhishek/clean-inference-kernel", "kernel_id": "7692887"}, {"ref": "lucamassaron/categorical-feature-encoding-with-tensorflow", "kernel_id": "7317387"}, {"ref": "lucamassaron/catboost-beats-auto-ml", "kernel_id": "7341918"}, {"ref": "lucamassaron/catboost-in-action-with-dnn", "kernel_id": "7368199"}, {"ref": "superant/oh-my-plain-logreg", "kernel_id": "7735005"}, {"ref": "scirpus/interesting-distribution", "kernel_id": "7988316"}, {"ref": "scirpus/categorical-done-the-right-way", "kernel_id": "7996863"}, {"ref": "scirpus/handle-missing-values-not", "kernel_id": "7899934"}, {"ref": "lsinev/catboost-with-bayes-opt", "kernel_id": "7624547"}, {"ref": "tunguz/cats-ii-with-rapids-ridge-regression", "kernel_id": "7744179"}, {"ref": "tunguz/cats-ii-with-h2o-automl", "kernel_id": "7695526"}, {"ref": "tunguz/cat-ii-with-rapids-knn", "kernel_id": "7704247"}, {"ref": "tunguz/cats-ii-t-sne-and-umap-embeddings-with-rapids", "kernel_id": "7875427"}, {"ref": "tunguz/cat-ii-rf-baseline-sklearn", "kernel_id": "7911336"}, {"ref": "tunguz/cat-ii-et-regressor-baseline-sklearn", "kernel_id": "7913720"}, {"ref": "tunguz/cat-ii-et-histgradientboostingreg-baseline-sklearn", "kernel_id": "7913790"}, {"ref": "tunguz/cat-ii-logistic-regression-baseline", "kernel_id": "7439376"}, {"ref": "tunguz/multi-cat-encodings", "kernel_id": "7345584"}, {"ref": "tunguz/adversicat-ii", "kernel_id": "7346909"}, {"ref": "tunguz/cat-ii-histgradientboostingclassifier-baseline", "kernel_id": "7412178"}, {"ref": "jinbao/embedding-dnn-ii", "kernel_id": "7525430"}, {"ref": "ogrellier/libffm-model", "kernel_id": "7886229"}, {"ref": "jeromeblanchet/visualize-the-level-of-randomness-in-random-forest", "kernel_id": "7390447"}, {"ref": "mcsweena/feature-importance-with-catboost-and-shap", "kernel_id": "7814730"}, {"ref": "springmanndaniel/keras-r-embeddings-baseline", "kernel_id": "7417186"}, {"ref": "shrutimechlearn/purrfect-start", "kernel_id": "7361564"}, {"ref": "nicapotato/cat-class-logistic-regression-stack", "kernel_id": "7456746"}, {"ref": "nicapotato/categorical-tabular-pytorch-classifier", "kernel_id": "7468352"}, {"ref": "nicapotato/whats-new-sklearn-0-22-1-cat-classifier-stack", "kernel_id": "7407695"}, {"ref": "nicapotato/categorical-ii-catboost-pool-cv-bayes-opt-gpu", "kernel_id": "7407918"}, {"ref": "vincentlugat/skf-lightgbm-target-encoding", "kernel_id": "7359707"}, {"ref": "kevingriest/logreg-te", "kernel_id": "7823066"}, {"ref": "ekholme/baseline-mean-model", "kernel_id": "7873566"}, {"ref": "grapestone5321/categorical-feature-sample-submission", "kernel_id": "7331068"}, {"ref": "nyk510/categorical-encoding-by-simple-target-encoding", "kernel_id": "7456554"}, {"ref": "fvcoppen/labelencoding-and", "kernel_id": "7888115"}, {"ref": "mullerismail/r-embed-them-all", "kernel_id": "7642364"}, {"ref": "aanubhav/almost-fastai-defaults-crossvalidation", "kernel_id": "7547024"}, {"ref": "pdx250697/cat-in-dat-2-mystack", "kernel_id": "7959040"}, {"ref": "amoghjrules/and-the-stacking-continues-oof-meta-modelling", "kernel_id": "7764872"}, {"ref": "amoghjrules/encode-like-there-s-no-tomorrow", "kernel_id": "7691827"}, {"ref": "amoghjrules/intro-to-stacking-averaging-base-models", "kernel_id": "7572745"}, {"ref": "gustavomodelli/elastic-net", "kernel_id": "7385032"}, {"ref": "gustavomodelli/elastic-net-r", "kernel_id": "7385122"}, {"ref": "hanifansari93/encoding-the-cats", "kernel_id": "7317340"}, {"ref": "vpkprasanna/categorical-encoding", "kernel_id": "7757446"}, {"ref": "santiviquez/simple-baseline-model-to-get-you-started", "kernel_id": "7736976"}, {"ref": "gheesung/ntu-assignment-2020", "kernel_id": "7700852"}, {"ref": "pavelvpster/cat-in-dat-2-stack", "kernel_id": "7951757"}, {"ref": "pavelvpster/cat-in-dat-2-embeddings-target-keras", "kernel_id": "7332909"}, {"ref": "pavelvpster/cat-in-dat-2-features-interaction", "kernel_id": "7634292"}, {"ref": "horohoro/categorical-feature-encoding2-eda-catboost-train", "kernel_id": "7381053"}, {"ref": "horohoro/categorical-feature-encoding2-logisticregression", "kernel_id": "7446812"}, {"ref": "horohoro/try-categoricalnb", "kernel_id": "7656618"}, {"ref": "shankarpendse/baseline-value-determination", "kernel_id": "7559655"}, {"ref": "ckanth090/cat-booost-the-data", "kernel_id": "7784974"}, {"ref": "nasere/catboost-magic-baseline", "kernel_id": "7347004"}, {"ref": "lavanyashukla01/practical-guide-to-finding-the-best-ml-model", "kernel_id": "7950910"}, {"ref": "laolingyeshao/eda-with-plotly-target-encoding", "kernel_id": "7957367"}, {"ref": "nandhuelan/let-s-tickle-the-cat-meow", "kernel_id": "7446046"}, {"ref": "atharvap329/catboost-baseline", "kernel_id": "7485829"}, {"ref": "vbmokin/cfec-ii-feature-importan-xgb-lgb-logr-linr", "kernel_id": "7726897"}, {"ref": "siimtarbe/testing-kaggle-out", "kernel_id": "7746840"}, {"ref": "kaushal2896/cat-in-dat-ii-simple-logistic-regression", "kernel_id": "7322001"}, {"ref": "zzy990106/fgcnn", "kernel_id": "7740713"}, {"ref": "ryanholbrook/eda-with-tableplots-and-upset-plots", "kernel_id": "7885650"}, {"ref": "sangeek/cats-ii-with-sklearn-ridge-regression", "kernel_id": "7983871"}, {"ref": "alexandervc/pure-lightgbm-with-tuned-params-0-78410", "kernel_id": "7435731"}, {"ref": "alexandervc/simple-catboost-trying-different-params", "kernel_id": "7514499"}, {"ref": "alexandervc/simple-catboost-cat-in-dat-ii", "kernel_id": "7531726"}, {"ref": "carlodnt/catboost-shap-fastai", "kernel_id": "7360375"}, {"ref": "khulapkosv/lightgbm-simple-starter", "kernel_id": "7328578"}, {"ref": "itsbitan/encode-categorical-variable", "kernel_id": "7731399"}, {"ref": "itsbitan/encode-categorical-features", "kernel_id": "7528989"}, {"ref": "srinivasav22/how-to-deal-with-categorical-features", "kernel_id": "7782818"}, {"ref": "bluewizard/logistic-regression-w-onehot-catboost-encoders", "kernel_id": "7494405"}, {"ref": "bluewizard/catboost-model-w-dummy-target-encoders", "kernel_id": "7623943"}, {"ref": "siavrez/comparing-imputation-for-ordinal-data", "kernel_id": "7714000"}, {"ref": "siavrez/deepfm-model", "kernel_id": "7706103"}, {"ref": "siavrez/auto-encoder-model", "kernel_id": "7871907"}, {"ref": "siavrez/singlelayerperceptron", "kernel_id": "7915822"}, {"ref": "siavrez/libffm-stratified-with-blend", "kernel_id": "7959225"}, {"ref": "cemsarier/preprocessing-filling-nan-and-logistic-regression", "kernel_id": "7424841"}, {"ref": "vadbeg/pytorch-nn-with-embeddings-and-catboost", "kernel_id": "7594732"}, {"ref": "kaggleurroad/cats-ii-with-rapids-ridge-regression", "kernel_id": "7890260"}, {"ref": "kaggleurroad/best-solution-for-categorical-feature-encoding", "kernel_id": "7806595"}, {"ref": "kaggleurroad/categorical", "kernel_id": "7914095"}, {"ref": "subinium/categorical-data-eda-visualization", "kernel_id": "7389602"}, {"ref": "ricopue/cramers-v-correlation-for-cat-i-cat-ii", "kernel_id": "7360466"}, {"ref": "drewheasman/missingness-analysis", "kernel_id": "7548097"}, {"ref": "teejmahal20/clustering-categorical-data-k-modes-cat-ii", "kernel_id": "7561088"}, {"ref": "vahidsa/simple-way-v2", "kernel_id": "7995631"}, {"ref": "vahidsa/simple-way-logisticregression-labelencoder", "kernel_id": "7971750"}, {"ref": "evale3/catdat", "kernel_id": "7960041"}, {"ref": "guidant/workflow-guide-pca-logistic-wide-and-deep-nn", "kernel_id": "7836738"}, {"ref": "mpwolke/fun-with-cris-cat-comp", "kernel_id": "7343965"}, {"ref": "mpwolke/meoh-katzen", "kernel_id": "7322194"}, {"ref": "drcapa/categorical-feature-engineering-2-xgb", "kernel_id": "7316820"}, {"ref": "kulkarnivishwanath/categorical-feature-encoding-challenge-ii", "kernel_id": "7333933"}, {"ref": "muhammad4hmed/easily-get-78-5-accuracy", "kernel_id": "7695955"}, {"ref": "faressayah/hyperparameter-optimization-for-machine-learning", "kernel_id": "7041987"}, {"ref": "faressayah/k-means-clustering-private-vs-public-universities", "kernel_id": "7359980"}, {"ref": "faressayah/knneighbors-private-vs-public-universities", "kernel_id": "7363536"}, {"ref": "vikassingh1996/don-t-underestimate-the-power-of-a-logistic-reg", "kernel_id": "7368035"}, {"ref": "cyannani123/kernel4c60139451", "kernel_id": "7473052"}, {"ref": "warkingleo2000/first-step-on-kaggle", "kernel_id": "7874928"}, {"ref": "eliasgreen/pure-start-notebook-challenge-2", "kernel_id": "7320739"}, {"ref": "marcovasquez/basic-eda-categoricals-values", "kernel_id": "7317035"}, {"ref": "caesarlupum/xgbclassifier-target-encoding-in-20-lines", "kernel_id": "7454614"}, {"ref": "caesarlupum/learn-logistic-regression-with-random-cats", "kernel_id": "7439704"}, {"ref": "caesarlupum/2020-20-lines-target-encoding", "kernel_id": "7338471"}, {"ref": "catadanna/categorical-encoding-my-solution", "kernel_id": "7970614"}, {"ref": "vovkaperm/simple-stacking-catboost", "kernel_id": "7988709"}, {"ref": "ganeshmundra/prediction-using-6-diff-model", "kernel_id": "7484744"}, {"ref": "davidbnn92/imputation-by-regression-of-woes", "kernel_id": "7863893"}, {"ref": "davidbnn92/weight-of-evidence-encoding", "kernel_id": "7832710"}, {"ref": "riyadmks/basic-model-rtk", "kernel_id": "7335334"}, {"ref": "esasiela/cat-in-the-dat-ii-grid-search", "kernel_id": "7875909"}, {"ref": "pjrenzov/categorical-encoding-ii", "kernel_id": "7561101"}, {"ref": "ryomakawata/embeddings", "kernel_id": "7389075"}, {"ref": "ryomakawata/skf-lightgbm", "kernel_id": "7391222"}, {"ref": "ryohgy/simply-drop-columns-with-high-cardinality", "kernel_id": "7339655"}, {"ref": "nayuts/cats-ii-xgboost-with-simple-encodings", "kernel_id": "7926822"}, {"ref": "manlunglo/78-acc-a-short-automl-categorical-classification", "kernel_id": "7792984"}, {"ref": "pradeepkc/categorical-data-classifier", "kernel_id": "7928553"}, {"ref": "fkdplc/ensembling-logisticregression-and-catboost", "kernel_id": "7481195"}, {"ref": "jaquelinelu/onehotencode-catboost-beginner-friendly", "kernel_id": "7895620"}, {"ref": "carsonlloyd/ohe-and-target-encoding-logreg", "kernel_id": "7568173"}, {"ref": "fireballbyedimyrnmom/cat-ii-simple", "kernel_id": "7709592"}, {"ref": "frankmollard/finding-the-optimal-weight-between-three-models", "kernel_id": "7652439"}, {"ref": "hiccykm/first-analysis-then-model", "kernel_id": "7949128"}, {"ref": "tadehalexani/cat-in-the-dat-ii-using-lr", "kernel_id": "7914552"}, {"ref": "egolinko/cat-deux", "kernel_id": "8635633"}, {"ref": "scirpus/ordinal-encoding", "kernel_id": "8011167"}, {"ref": "scirpus/complicated", "kernel_id": "8014133"}, {"ref": "davidsalazarv95/save-your-ram", "kernel_id": "8076020"}, {"ref": "rahulvks/pca-smote-xgbclassifier", "kernel_id": "8437195"}, {"ref": "aayush29071996/categorical-encoding-my-solution", "kernel_id": "8856885"}, {"ref": "gowrishankarin/learn-tensorflow2-feature-engg-metrics-0-7805", "kernel_id": "8773664"}, {"ref": "xanthate/categorical-encoding", "kernel_id": "8630111"}, {"ref": "gpamoukoff/using-knime-in-kernel-complete-pipeline-glm-lgb", "kernel_id": "8395192"}, {"ref": "worldkeeping/benchmark-lightgbm-model-feature-importance", "kernel_id": "8546984"}, {"ref": "worldkeeping/visualize-feature-dependency-pearson-s-chi-square", "kernel_id": "8528865"}, {"ref": "ekholme/initial-eda", "kernel_id": "8109327"}, {"ref": "hahmed747/stacking-model-fastai2-nn-xgb-rf-lr-knn", "kernel_id": "8578375"}, {"ref": "ajisamudra/experimenting-with-categorical-encoding", "kernel_id": "8524038"}, {"ref": "peacemaket/lgb-catboost-logreg-poli-logreg-and-stack-all", "kernel_id": "8318554"}, {"ref": "jg2017/cat-data-visualization", "kernel_id": "8284118"}, {"ref": "horohoro/cat-feat-encoding2-try-xlearn", "kernel_id": "8010054"}, {"ref": "laolingyeshao/ohe-logit-target-encoding-xgboost-hyperopt", "kernel_id": "8262981"}, {"ref": "hi2de5/cfec-random-state334", "kernel_id": "8595982"}, {"ref": "abhia1999/logistic-regression-notebook", "kernel_id": "8501638"}, {"ref": "aanjanika/kernel116bec4eda", "kernel_id": "8061012"}, {"ref": "tboyle10/categorical-encoding-techniques", "kernel_id": "8635533"}, {"ref": "gokalpumur/simple-pipeline-demo", "kernel_id": "8185336"}, {"ref": "robinmunier/categorical-feature-encoding-challenge-ii", "kernel_id": "8655845"}, {"ref": "niscreed/auc-74-outliers-4models", "kernel_id": "8825342"}, {"ref": "apocryphon/categoricl-encoding-challenge-quick-look", "kernel_id": "8387218"}, {"ref": "shubhamlekhwar/categorical-feature-encoding-challenge-ii", "kernel_id": "8355518"}, {"ref": "podsyp/catdata-eda-meanenc-logreg-l1-l2-enet", "kernel_id": "8524130"}, {"ref": "pchlq82/simple-entity-embeddings-with-pytorch", "kernel_id": "8483707"}, {"ref": "itsbitan/categorical-features-encoding", "kernel_id": "8314211"}, {"ref": "ricopue/keras-embedding-catboost", "kernel_id": "8495011"}, {"ref": "akshatj52/kernel6fa4c22e1b", "kernel_id": "8691529"}, {"ref": "roburadu/feature-interaction-rulefit", "kernel_id": "8032048"}, {"ref": "prayotter/beginner-model-stacking", "kernel_id": "8102052"}, {"ref": "lucca9211/categorical-feature-encoding-ii-xgboost", "kernel_id": "8112570"}, {"ref": "lucca9211/kernel13d29e4377", "kernel_id": "8190405"}, {"ref": "lucca9211/top-45-categorical", "kernel_id": "8200205"}, {"ref": "lucca9211/fork-of-categorical-feature-encoding-ii-xgboost", "kernel_id": "8136192"}, {"ref": "skattun122/kernel-cat2-resnet50", "kernel_id": "8405849"}, {"ref": "schorsi/fastai-tabular-for-cat-in-the-dat", "kernel_id": "8598339"}, {"ref": "aryansharma19/cat-int-the-dat-ii", "kernel_id": "8613642"}, {"ref": "sarang210/encod", "kernel_id": "8555669"}, {"ref": "devicharith/categorical-features-xgbclassifer-quicklook", "kernel_id": "8541103"}, {"ref": "aitikgupta/my-first-kaggle-notebook", "kernel_id": "8545829"}, {"ref": "achintyatripathi/categorical-feature-encoding-by-lr", "kernel_id": "8153802"}, {"ref": "msram91/categorical-feature-binary-variables-encoding", "kernel_id": "8395546"}, {"ref": "ebelll/categorical-feature-encoding-challenge-ii", "kernel_id": "8441770"}, {"ref": "dabawse/cat-in-dat-ii", "kernel_id": "8631090"}, {"ref": "dalsa17/comprehensive-feature-encoding-beginner", "kernel_id": "8583815"}, {"ref": "vovkaperm/simple-catboost-is-all-you-need", "kernel_id": "8012515"}, {"ref": "jpar225/cat-in-the-dat-ii", "kernel_id": "8066498"}, {"ref": "nickteim/simpel-model-for-cat", "kernel_id": "8088160"}, {"ref": "nickteim/covid19-1-model", "kernel_id": "8552936"}, {"ref": "nickteim/categorical-feature-ii-fastai-v3", "kernel_id": "8444927"}, {"ref": "raktim55/feature-test-101", "kernel_id": "8187953"}, {"ref": "raktim55/feature-encoding", "kernel_id": "8519965"}, {"ref": "adegladius/my-first-kernel-on-cat-ii-with-0-79377-accuracy", "kernel_id": "8674806"}, {"ref": "nwolpert/cfec-ii-ensemble-model", "kernel_id": "8177275"}, {"ref": "hotton/cat2te3", "kernel_id": "8149577"}, {"ref": "adarshsng/target-encoding-neural-network-easy-peasy", "kernel_id": "8160345"}, {"ref": "fkdplc/cat-2-target-snapshot-ensemble", "kernel_id": "8509310"}, {"ref": "tymurprorochenko/simplest-lr-12-lines", "kernel_id": "8687105"}, {"ref": "ryandgama/kernel557594c835", "kernel_id": "8607609"}, {"ref": "ryandgama/kernel3ad50dde59", "kernel_id": "8375674"}, {"ref": "thulaniboyboy/kernel26ccb4a9b2", "kernel_id": "8716916"}, {"ref": "alynmi18/kernel131abd511f", "kernel_id": "8183648"}, {"ref": "rajneeshkumar0509/cat-in-the-dat-ii-rajneesh", "kernel_id": "8810970"}, {"ref": "malenamorais/fgv-morales", "kernel_id": "8107714"}, {"ref": "darwinwin/cats-ii-with-h2o-automl", "kernel_id": "8120993"}, {"ref": "mansipriya/handling-cyclic-data", "kernel_id": "8426875"}, {"ref": "toshikinakashima/cat-dot", "kernel_id": "8631689"}, {"ref": "superant/oh-my-sklearn", "kernel_id": "9230943"}, {"ref": "amrutan/kernel253cb8dc2d", "kernel_id": "9944882"}, {"ref": "arpitr07/entity-embedding-for-categorical-features", "kernel_id": "9358261"}, {"ref": "shubhamdivakar/easily-get-78-5-accuracy", "kernel_id": "9525456"}, {"ref": "aku0810/categorical-features", "kernel_id": "9953097"}, {"ref": "anarthal/classification-using-categorical-variables", "kernel_id": "9111539"}, {"ref": "machinescientist/power-of-logistic-regression-78-4", "kernel_id": "9707265"}, {"ref": "abisheksrivastav/categorical-feature-encoding-challenge-ii", "kernel_id": "10308362"}, {"ref": "visiteur/lab-cats-log-regression-with-minmaxscaler", "kernel_id": "10023765"}, {"ref": "visiteur/lab-cats-gr-boosting", "kernel_id": "10082767"}, {"ref": "visiteur/lab-cats-gr-boosting-with-minmaxscaler", "kernel_id": "10082925"}, {"ref": "visiteur/lab-cats-log-regression", "kernel_id": "10083343"}, {"ref": "jagdmir/categorical-feature-encoding-challenge-ii-model", "kernel_id": "10919821"}, {"ref": "viktorpopov/cfec-ii", "kernel_id": "10899172"}, {"ref": "youweizou/categorical-feature-encoding-challenge", "kernel_id": "10402421"}, {"ref": "mansipriya/replicating-1st-solution-with-eda", "kernel_id": "10530461"}, {"ref": "frank95/univariate-k-score-filter-and-logistic-regression", "kernel_id": "10432506"}, {"ref": "qroshi/kernel74bd0d022a", "kernel_id": "10974133"}, {"ref": "ruhong/weight-of-evidence-encoding", "kernel_id": "11013277"}, {"ref": "jagdmir/feature-selection-label-encoding-techniques", "kernel_id": "11150265"}, {"ref": "pawan2905/categorical-variables", "kernel_id": "11086997"}, {"ref": "dmkravtsov/6-0-cats-challenge", "kernel_id": "11269476"}, {"ref": "anupamshah/beginner-categorical-encoding-techniques", "kernel_id": "12861191"}, {"ref": "hiro1005/categorical-feature-encoding-challenge-ii", "kernel_id": "12059518"}, {"ref": "hemanthhari/appraochingml-catvarhandling", "kernel_id": "12450404"}, {"ref": "sandyhanjaya/cat-in-the-dat-with-log-regression-r", "kernel_id": "13421417"}, {"ref": "juliuszslowacki/cat-dat", "kernel_id": "13304213"}, {"ref": "alandata666/learn-deepfm-model", "kernel_id": "14364582"}, {"ref": "nishantrock/av-jobathon-tensorflow-entiti-embeddings", "kernel_id": "15323982"}, {"ref": "naokiokada/categorical-feature-encoding-challenge-ii", "kernel_id": "16544502"}, {"ref": "yasserhessein/categorical-feature-classification-with-ml", "kernel_id": "16482332"}, {"ref": "jamesbond00700/auc-lbl-xgb", "kernel_id": "16310387"}, {"ref": "jamesbond00700/auc-ohe-rf", "kernel_id": "16282535"}, {"ref": "karad1818/approaching-almost-any-machine-learning-problem", "kernel_id": "19230938"}, {"ref": "karad1818/categorical-data-encoding-aaamlp", "kernel_id": "19499905"}, {"ref": "shefalishettyy/missing-values-constant-temp-feature-selection", "kernel_id": "20084792"}, {"ref": "hyunee98/210917-cat", "kernel_id": "20582188"}, {"ref": "amanjyotideka/categorical-embedding-2", "kernel_id": "21234239"}, {"ref": "kgxiao/xgboost-and-random-forest-model-fusion", "kernel_id": "22231094"}, {"ref": "deepak132/categorical-feature-encoding-challenge-ii", "kernel_id": "22132155"}, {"ref": "andreloureiro1809/approach-any-machl-problem-c5-8", "kernel_id": "26636743"}, {"ref": "sonheerak/categorical-feature-encoding-challenge-2-eda", "kernel_id": "27492967"}, {"ref": "sonheerak/categorical-feature-encoding-challenge-2-up", "kernel_id": "27495143"}, {"ref": "sonheerak/categorical-feature-encoding-challenge-2-sin", "kernel_id": "27496385"}, {"ref": "sonheerak/categorical-feature-encoding-challenge-2-up2", "kernel_id": "27497732"}, {"ref": "maryiaznak/dealing-with-categorical-data-logreg-rand-forest", "kernel_id": "28882551"}, {"ref": "maryiaznak/dealing-with-categorical-data-keras-embedding", "kernel_id": "29976082"}, {"ref": "abdelrahimabdelazim/cat-in-the-dat-label-encoding", "kernel_id": "29017189"}, {"ref": "edutechalexlee/must-have-ch-7-3-2", "kernel_id": "29092360"}, {"ref": "prievaragabriella/simple-logistis-regression", "kernel_id": "33226894"}, {"ref": "prievaragabriella/create-folds", "kernel_id": "33052214"}, {"ref": "polljjaks/categorical-feature-encoding-challenge2-improve", "kernel_id": "35432457"}, {"ref": "khageshorgiri/approaching-any-types-of-categorical-features", "kernel_id": "37416917"}, {"ref": "galivege/fork-of-cat-in-the-dat3", "kernel_id": "45293469"}, {"ref": "princess10/dealing-with-categorical-variables", "kernel_id": "53460114"}, {"ref": "yuyuan1208/classical-case3-private-vs-public-uni", "kernel_id": "64324122"}, {"ref": "snehalkhandewale/cat-ii-logistic", "kernel_id": "66329024"}, {"ref": "liyingiris90/entity-embeddings-for-categorical-variables", "kernel_id": "67726609"}, {"ref": "asifsaad/ail-part-2", "kernel_id": "75782018"}, {"ref": "azizp123/categorical-feature-encoding-challenge-ii", "kernel_id": "79361711"}, {"ref": "aryantuli/feature-engineering-basics", "kernel_id": "82280582"}, {"ref": "yashds007/dataset-for-all-categorical-feature-cat-in-a-dat", "kernel_id": "85938295"}, {"ref": "aboodalnimer/tiger", "kernel_id": "96194900"}, {"ref": "aboodalnimer/tigerr", "kernel_id": "96994854"}, {"ref": "aalliioo/codex", "kernel_id": "96194830"}, {"ref": "hanakallab/data-divas", "kernel_id": "96194989"}, {"ref": "samiabdullah01/sami-cat-in-the-dat-ii", "kernel_id": "96779370"}, {"ref": "abdulhadijoujou/advanced-categorical-encoding-classifier", "kernel_id": "96838186"}, {"ref": "mohammadkhaldun/matrix-ltuc", "kernel_id": "96195858"}, {"ref": "yazanalsaqqa/mindforge", "kernel_id": "96716102"}, {"ref": "yazanabualrub/categorical-feature-encoding-challenge-ii", "kernel_id": "96918023"}, {"ref": "duaabaniissa/mindforge", "kernel_id": "96196880"}, {"ref": "rafataymansafi/hala-team", "kernel_id": "96195682"}, {"ref": "ayhamsalameh/notebook37a9ebbdc3", "kernel_id": "96194877"}, {"ref": "mohammadalrabie1/mohammad-tareq", "kernel_id": "96194850"}, {"ref": "tareqoo/t-m00", "kernel_id": "96195442"}, {"ref": "aliaboquti/insight", "kernel_id": "96195391"}, {"ref": "khaledsaid/cat-in-the-dat-ii-ohe-logreg", "kernel_id": "97058527"}, {"ref": "wasanhaddad/cat-in-the-dat-ii", "kernel_id": "98193550"}, {"ref": "sravani1828/cat-encoding2-m2", "kernel_id": "131944354"}]}
{"competition_id": "17002", "kernels": []}
{"competition_id": "17004", "kernels": []}
{"competition_id": "17010", "kernels": []}
{"competition_id": "17013", "kernels": []}
{"competition_id": "17014", "kernels": [{"ref": "amanneo/model-selection-boosting-and-hypertuning", "kernel_id": "6864113"}, {"ref": "omprakashchauutala/warranty-claim-pridiction-model", "kernel_id": "6976061"}, {"ref": "ranjithkumarsamala/claims-prediction", "kernel_id": "6973276"}, {"ref": "sowmiya7/warranty-claims-prediction", "kernel_id": "6977211"}]}
{"competition_id": "17017", "kernels": []}
{"competition_id": "17018", "kernels": [{"ref": "aninda/vehicle-class-fastai", "kernel_id": "6637864"}, {"ref": "rishabhiitbhu/vehicle-recognition-simple-eda", "kernel_id": "6505423"}, {"ref": "adamlouly/resnet-fastai", "kernel_id": "6505867"}, {"ref": "adamlouly/vehicle-class-fastai", "kernel_id": "6820060"}, {"ref": "l0new0lf/vehicle-classification", "kernel_id": "7590396"}, {"ref": "emanuelhuber/eda-atividade-pr-tica", "kernel_id": "11006885"}, {"ref": "emanuelhuber/modelo-para-classifica-o-tau-dataset", "kernel_id": "11732930"}, {"ref": "brunorazeramoretti1/eda-atividade-pr-tica", "kernel_id": "11171091"}, {"ref": "l0new0lf/pretrained-models-5th-place-reproduce", "kernel_id": "12815865"}, {"ref": "prabhu2599/vechicles", "kernel_id": "15679723"}, {"ref": "jorgerodriguez/vehicle-type-recognition", "kernel_id": "26677543"}, {"ref": "vnglvn/vehicle-classification", "kernel_id": "28894129"}, {"ref": "girish172002/vehicle-classification", "kernel_id": "32205301"}, {"ref": "mokshpapneja/ae-vehicle", "kernel_id": "32346187"}, {"ref": "umarzeinardhisiregar/noteboooka", "kernel_id": "42863758"}, {"ref": "luthfillahakhtarf31/noteboooka", "kernel_id": "42811448"}, {"ref": "rydytm/pengolahan-data-klasifikasi-kendaraan", "kernel_id": "43054658"}, {"ref": "aritramondal2005/noteboooka-ac4365", "kernel_id": "64731907"}, {"ref": "sharathkotte/vehicle-recognition-simple-eda", "kernel_id": "71907142"}, {"ref": "jenniferpoling/vehicle-class", "kernel_id": "97585405"}]}
{"competition_id": "17024", "kernels": []}
{"competition_id": "17026", "kernels": [{"ref": "cselmo/kernel16dc36a257", "kernel_id": "6624106"}, {"ref": "stingher/kernel488cc51210", "kernel_id": "6754739"}]}
{"competition_id": "17028", "kernels": []}
{"competition_id": "17029", "kernels": []}
{"competition_id": "17030", "kernels": []}
{"competition_id": "17031", "kernels": []}
{"competition_id": "17034", "kernels": []}
{"competition_id": "17040", "kernels": [{"ref": "evangelostsogkas/gridsearchcv-random-forest-voting-ensemble", "kernel_id": "6951279"}]}
{"competition_id": "17051", "kernels": []}
{"competition_id": "17057", "kernels": []}
{"competition_id": "17063", "kernels": []}
{"competition_id": "17065", "kernels": [{"ref": "vlasoff/data-understanding-and-visualisation", "kernel_id": "6487782"}, {"ref": "stopmosk/tensorflow-baseline", "kernel_id": "6527405"}]}
{"competition_id": "17072", "kernels": []}
{"competition_id": "17077", "kernels": []}
{"competition_id": "17101", "kernels": []}
{"competition_id": "17104", "kernels": []}
{"competition_id": "17106", "kernels": []}
{"competition_id": "17108", "kernels": [{"ref": "jemiaymen/aymen-jemi", "kernel_id": "6600698"}, {"ref": "aymenjemi/kernel-dl50", "kernel_id": "6628455"}]}
{"competition_id": "17109", "kernels": [{"ref": "matheusfacure/sample-submission", "kernel_id": "6523495"}]}
{"competition_id": "17128", "kernels": []}
{"competition_id": "17129", "kernels": []}
{"competition_id": "17135", "kernels": []}
{"competition_id": "17136", "kernels": []}
{"competition_id": "17143", "kernels": []}
{"competition_id": "17145", "kernels": []}
{"competition_id": "17158", "kernels": []}
{"competition_id": "17160", "kernels": []}
{"competition_id": "17161", "kernels": []}
{"competition_id": "17162", "kernels": []}
{"competition_id": "17165", "kernels": []}
{"competition_id": "17167", "kernels": []}
{"competition_id": "17175", "kernels": []}
{"competition_id": "17177", "kernels": []}
{"competition_id": "17190", "kernels": []}
{"competition_id": "17193", "kernels": []}
{"competition_id": "17213", "kernels": []}
{"competition_id": "17216", "kernels": [{"ref": "simbarashemutyambizi/email-classification", "kernel_id": "64710165"}]}
{"competition_id": "17218", "kernels": [{"ref": "hamzaamine/notebook-projet-starcraft2", "kernel_id": "6715859"}, {"ref": "lisasilvestri/report-starcraft-competition", "kernel_id": "6839781"}, {"ref": "elghalibenchekroun/starcraft-2-player-prediction-challenge-2019", "kernel_id": "6593856"}]}
{"competition_id": "17221", "kernels": []}
{"competition_id": "17223", "kernels": []}
{"competition_id": "17224", "kernels": []}
{"competition_id": "17227", "kernels": []}
{"competition_id": "17233", "kernels": [{"ref": "lucamassaron/my-initial-solution-using-hungarian-algorithm", "kernel_id": "6941575"}, {"ref": "mihaild/lower-bound-on-preference-cost", "kernel_id": "6841450"}, {"ref": "inversion/santa-s-2019-starter-notebook", "kernel_id": "6768435"}, {"ref": "slobo777/pytorch-giant-gradient-bandit", "kernel_id": "6864894"}, {"ref": "vincentzoonekynd/plotting-a-solution-simple-descent-approach", "kernel_id": "6834524"}, {"ref": "kathakaliseth/santa-s-assistant-learning-lp-from-others", "kernel_id": "6942227"}, {"ref": "deyury/starter-notebook-greedy-initialization", "kernel_id": "6792920"}, {"ref": "vipito/santa-ip", "kernel_id": "6915535"}, {"ref": "pavelvod/pytorch-starter-solution", "kernel_id": "6842098"}, {"ref": "nickel/santa-s-2019-fast-pythonic-cost-23-s", "kernel_id": "6829336"}, {"ref": "nickel/250x-faster-cost-function-with-numba-jit", "kernel_id": "6811329"}, {"ref": "weeezy/santa-mip-ls", "kernel_id": "6942765"}, {"ref": "jhuopana/simulated-annealing-iterative-solution", "kernel_id": "6908759"}, {"ref": "brobear1995/santa-workshop-visualization", "kernel_id": "6979281"}, {"ref": "sunhwan/santa-s-2019-exploring-faster-cost-function", "kernel_id": "6811157"}, {"ref": "kopytok/santa-2019-the-local-search-journey", "kernel_id": "6915928"}, {"ref": "paulorzp/cost-matrix-low-memory-and-fast", "kernel_id": "6811588"}, {"ref": "sekrier/fast-scoring-using-c-42-usec", "kernel_id": "6810758"}, {"ref": "briancohan/santa-s-workshop-eda", "kernel_id": "6866413"}, {"ref": "loicge/santa-solution-viz-2d-and-3d", "kernel_id": "6893534"}, {"ref": "jagannathrk/santa-s-2019-cost-function", "kernel_id": "6828380"}, {"ref": "isaienkov/genetic-algorithm-basics", "kernel_id": "6818796"}, {"ref": "tohaspiridonov/lb-79222-in-673-sec-bonus", "kernel_id": "6901957"}, {"ref": "seshurajup/eda-family-choice", "kernel_id": "6785337"}, {"ref": "karnakarthoorpu/what-is-your-visiting-date", "kernel_id": "6934307"}, {"ref": "a45632/quick-eda-using-graph", "kernel_id": "6804631"}, {"ref": "shrutimechlearn/all-about-workshop-explorers", "kernel_id": "6804779"}, {"ref": "marlesson/genetic-algorithm-with-deap", "kernel_id": "6891809"}, {"ref": "jesperdramsch/intro-to-santa-s-2019-viz-costs-22-s-and-search", "kernel_id": "6843525"}, {"ref": "hengzheng/santa-s-seed-seeker", "kernel_id": "6920137"}, {"ref": "ghostskipper/visualising-results", "kernel_id": "6830503"}, {"ref": "jack0529/santa-s-2019-starter-notebook", "kernel_id": "6860535"}, {"ref": "ichabuddaeta/how-to-be-in-last-place-and-still-be-happy", "kernel_id": "6834604"}, {"ref": "ichabuddaeta/santa-2-the-return-of-the-last-place-hero", "kernel_id": "6902787"}, {"ref": "toshikazuwatanabe/santa-q-learning", "kernel_id": "6905779"}, {"ref": "dan3dewey/santa-s-simple-scheduler", "kernel_id": "6800691"}, {"ref": "ak1352/santa", "kernel_id": "6803349"}, {"ref": "chewzy/santa-finances-a-closer-look-at-the-costs", "kernel_id": "6795769"}, {"ref": "khahuras/the-elegant-prize", "kernel_id": "6971527"}, {"ref": "kaushal2896/random-assignment-benchmark", "kernel_id": "6795859"}, {"ref": "zzy990106/better-initialization-127711", "kernel_id": "6807917"}, {"ref": "holoong9291/santa-s-workshop-tour2019", "kernel_id": "6857278"}, {"ref": "weishanlee/santa2019", "kernel_id": "6952081"}, {"ref": "weishanlee/santa2019-compeitition", "kernel_id": "6955222"}, {"ref": "xhlulu/santa-s-2019-faster-cost-function-24-s", "kernel_id": "6795129"}, {"ref": "xhlulu/santa-s-2019-stochastic-product-search", "kernel_id": "6834170"}, {"ref": "jazivxt/using-a-baseline", "kernel_id": "6815963"}, {"ref": "noelmat/eda-of-santa-s-workshop-tour-2019-plotly", "kernel_id": "6788935"}, {"ref": "maximenkooo/santa-s-task", "kernel_id": "6803482"}, {"ref": "possiblemanjr/quick-simple-eda-with-pandas-profiling", "kernel_id": "6785589"}, {"ref": "trolukovich/penalty-function-analysis", "kernel_id": "6907738"}, {"ref": "ilu000/santa2019-leaderboard-progression", "kernel_id": "6840596"}, {"ref": "ilu000/greedy-dual-and-tripple-shuffle-with-fast-scoring", "kernel_id": "6820238"}, {"ref": "subinium/all-about-data-santa-workshop-tour-2019", "kernel_id": "6785762"}, {"ref": "ryancodrai/pythonic-cost-function-10-s", "kernel_id": "6809401"}, {"ref": "khlevnov/santa-s-2019-starter-notebook", "kernel_id": "6785702"}, {"ref": "pulkitmehtawork1985/fast-jonker-volgenant-algorithm", "kernel_id": "6825814"}, {"ref": "pulkitmehtawork1985/ho-ho-ho", "kernel_id": "6789598"}, {"ref": "pulkitmehtawork1985/fast-optimization-on-greedy-initialization", "kernel_id": "6797003"}, {"ref": "pulkitmehtawork1985/hungarian-algorithm-to-be-continued", "kernel_id": "6804568"}, {"ref": "mpwolke/competitions-are-rock-n-roll", "kernel_id": "6796659"}, {"ref": "aniketgoel1984/optimized-cost-function-in-r", "kernel_id": "6813133"}, {"ref": "varunyadav17/santafinance-eda-numba", "kernel_id": "6971959"}, {"ref": "gopalakrishna306/kernel41ab01153b", "kernel_id": "6795277"}, {"ref": "charlesaverill/brute-force-meta-optimization-attempt", "kernel_id": "6865933"}, {"ref": "prateek0x/data-visualization-for-beginners", "kernel_id": "6785505"}, {"ref": "capiru/santa-s-workshop-eda-sorting-visualization", "kernel_id": "6808071"}, {"ref": "marcossantanauff/santa-s-workshop-initial-kernel", "kernel_id": "6820516"}, {"ref": "hs999518/santa-analysis-visualization-machine-learning", "kernel_id": "6835902"}, {"ref": "wrrosa/starter-optimization", "kernel_id": "6810250"}, {"ref": "wrrosa/simple-starter-and-faster-cost-function", "kernel_id": "6797540"}, {"ref": "futbolanalysr/visiting-santa-s-workshop-in-r", "kernel_id": "6798446"}, {"ref": "linshokaku/santa-s-2019-gpu-accelerated-cost-function-12-s", "kernel_id": "6920756"}, {"ref": "lucamassaron/mixup-of-public-kernels-to-reach-69098-14", "kernel_id": "7231408"}, {"ref": "kwabenantim/heuristic-ensemble", "kernel_id": "7335818"}, {"ref": "nagadomi/hill-climbing", "kernel_id": "7016872"}, {"ref": "nagadomi/mipcl-example-only-preference", "kernel_id": "7351747"}, {"ref": "vipito/fork-of-santa-ip", "kernel_id": "7201233"}, {"ref": "chudak/another-pytorch-implementation", "kernel_id": "7087660"}, {"ref": "antekirt/faster-genetic-algorithm", "kernel_id": "7062211"}, {"ref": "kustin/leaderboard-and-high-scoring-submission-sharing", "kernel_id": "7374346"}, {"ref": "brobear1995/santa-workshop-a-beginner-s-approach", "kernel_id": "7003372"}, {"ref": "yasarc4/greedy-starter-public-250411", "kernel_id": "7221128"}, {"ref": "kopytok/the-local-search-journey-pt-2-going-feasible", "kernel_id": "7000954"}, {"ref": "robikscube/tracking-santas-little-helpers", "kernel_id": "7372604"}, {"ref": "shrutimechlearn/santa-returns-workshop-explorers-wave-1-vs-wave-2", "kernel_id": "7218391"}, {"ref": "orfork/minlp-model-for-santa-and-an-approximation", "kernel_id": "7022597"}, {"ref": "golubev/manual-to-improve-submissions", "kernel_id": "7226557"}, {"ref": "golubev/c-stochastic-product-search-65ns", "kernel_id": "7160080"}, {"ref": "golubev/benchmark-mip-solvers-draft", "kernel_id": "7306987"}, {"ref": "golubev/optimization-preference-cost-mincostflow", "kernel_id": "7249357"}, {"ref": "golubev/mip-optimization-preference-cost-santa2019revenge", "kernel_id": "7242344"}, {"ref": "golubev/mip-optimization-preference-cost", "kernel_id": "7238572"}, {"ref": "mdhyaksa/santa-workshop-tour-greedy-optimization", "kernel_id": "7371641"}, {"ref": "sm14159/numpy-and-pandas-wizardry-to-define-penalty", "kernel_id": "7089306"}, {"ref": "ichabuddaeta/looking-at-the-costs-using-random-walks", "kernel_id": "7047166"}, {"ref": "raghaw/mip-optimization-preference-cost", "kernel_id": "7389628"}, {"ref": "khoongweihao/santa-requires-more-time-to-find-bad-kids", "kernel_id": "7263782"}, {"ref": "nkoprowicz/only-calculate-changing-elements-of-cost", "kernel_id": "7280089"}, {"ref": "dmintry/heuristic-ensemble-c", "kernel_id": "7420756"}, {"ref": "dmintry/c-stochastic-product-search-in-few-threads", "kernel_id": "7163909"}, {"ref": "gogo827jz/sending-email-notification-with-attachment", "kernel_id": "7132836"}, {"ref": "gogo827jz/lucky-choice-search", "kernel_id": "7078845"}, {"ref": "drcapa/santas-tour-bazaar-optimization", "kernel_id": "7021414"}, {"ref": "jeugregg/santa-s-2019-original-genetic-algorithm-method", "kernel_id": "7429752"}, {"ref": "yotambraun124/santa-1", "kernel_id": "7358762"}, {"ref": "rtmmatrix/additional-optimization-for-starter", "kernel_id": "7000535"}, {"ref": "takbull/optimization-preference-cost-mincostflow", "kernel_id": "7263353"}, {"ref": "shikhabains/santa-workshop", "kernel_id": "7539171"}, {"ref": "wrrosa/mipcl-c-stochastic-or-tools-mip-69332-in-3-5h", "kernel_id": "7548781"}, {"ref": "wrrosa/mip-preference-semi-accounting-cost", "kernel_id": "7559734"}, {"ref": "wrrosa/optimal-solution-s", "kernel_id": "7597656"}, {"ref": "hollydail/2019-santa-eda-with-xarray", "kernel_id": "7070124"}, {"ref": "vinothkumarv/vinov-santaws-78244-in-723secs", "kernel_id": "7549651"}, {"ref": "nonagoninfinity/compare-r-cost-function-tibble-data-table", "kernel_id": "7070180"}, {"ref": "maxvanhaastrecht/santapulp", "kernel_id": "7022143"}, {"ref": "rengar12/kernel10a705a44f-b1a92a-50221a", "kernel_id": "7438539"}, {"ref": "dmitryezhov/santa-miqp-model", "kernel_id": "7307960"}, {"ref": "kniazevsergei/santa-s-workshop-attempt", "kernel_id": "7390929"}, {"ref": "lparker7/assignment-1", "kernel_id": "8811899"}, {"ref": "navinbarnwal/santa-mip-ls", "kernel_id": "9994523"}, {"ref": "toanhkhiemnguyen/cp2410-assignment2-toanhkhiemnguyen", "kernel_id": "9114922"}, {"ref": "oneonesixbravo/santaworkshop", "kernel_id": "11141546"}, {"ref": "alichtner/nordace-kaggle-optimization-notebook", "kernel_id": "13256329"}, {"ref": "meiyuntan/online-running-code-for-santa-lp-and-mip", "kernel_id": "13265352"}, {"ref": "rishabhchaturvedi1/competitions-are-rock-n-roll", "kernel_id": "16681489"}, {"ref": "aymanm419/santa-s-2019-starter-notebook", "kernel_id": "25356021"}, {"ref": "abdulakeemyusuf/santa-s-2019-starter-notebook", "kernel_id": "26599147"}, {"ref": "ubaydulloasatullaev/crowd-density-image-2019-10-env-p3-6", "kernel_id": "49917291"}, {"ref": "joshuahiller/genetic-algorithm-basics", "kernel_id": "74219835"}, {"ref": "alinahassan14/genetic-algorithm-basics", "kernel_id": "92922421"}, {"ref": "mathewsabu041123/genetic-algorithm-basics", "kernel_id": "93365909"}, {"ref": "casandralandrian/5a-genetic-algorithm-basics", "kernel_id": "93532862"}, {"ref": "carriesmithing/module-5a-smithing", "kernel_id": "93561618"}, {"ref": "adelphitonynguyen/genetic-algorithm-basics", "kernel_id": "93067219"}, {"ref": "jarrednavarro/genetic-algorithm-basics", "kernel_id": "93363580"}, {"ref": "justinseiter/genetic-algorithm-basics", "kernel_id": "93540289"}, {"ref": "leahmathew/genetic-algorithm-basics", "kernel_id": "93543219"}, {"ref": "kaaranraahuls/genetic-algorithm-basics", "kernel_id": "93531343"}, {"ref": "galuhramaditya/santa-s-workshop-tour-2019", "kernel_id": "116624583"}, {"ref": "ryanmaselli/genetic-algorithm-basics", "kernel_id": "135691930"}, {"ref": "arzoofatima1/module-5a-genetic-algorithm-basics-arzoofatima", "kernel_id": "136325824"}]}
{"competition_id": "17234", "kernels": []}
{"competition_id": "17235", "kernels": []}
{"competition_id": "17240", "kernels": []}
{"competition_id": "17255", "kernels": []}
{"competition_id": "17259", "kernels": [{"ref": "bobazooba/deep-average-network-submission-example", "kernel_id": "6622531"}, {"ref": "bobazooba/welcome", "kernel_id": "6607852"}]}
{"competition_id": "17271", "kernels": []}
{"competition_id": "17273", "kernels": []}
{"competition_id": "17286", "kernels": []}
{"competition_id": "17299", "kernels": []}
{"competition_id": "17301", "kernels": []}
{"competition_id": "17304", "kernels": []}
{"competition_id": "17313", "kernels": []}
{"competition_id": "17314", "kernels": [{"ref": "zalecayman/kernel346ea3e727", "kernel_id": "6665678"}]}
{"competition_id": "17321", "kernels": []}
{"competition_id": "17329", "kernels": [{"ref": "manhnd1105/tut-1", "kernel_id": "16146846"}]}
{"competition_id": "17330", "kernels": []}
{"competition_id": "17337", "kernels": []}
{"competition_id": "17339", "kernels": []}
{"competition_id": "17341", "kernels": []}
{"competition_id": "17343", "kernels": []}
{"competition_id": "17344", "kernels": []}
{"competition_id": "17347", "kernels": [{"ref": "sirotkin/kernel6627b5f22d", "kernel_id": "7495027"}, {"ref": "mahhets/stochastic-batch-gradient-boosting", "kernel_id": "15749064"}]}
{"competition_id": "17351", "kernels": []}
{"competition_id": "17359", "kernels": [{"ref": "vbmokin/bod-prediction-in-river-by-15-regression-models", "kernel_id": "6645081"}, {"ref": "hikkariprogrammer/bod-prediction-using-ensemble-learning-stacking", "kernel_id": "9184561"}, {"ref": "hikkariprogrammer/laboratory-work-1-4", "kernel_id": "32997872"}]}
{"competition_id": "17367", "kernels": []}
{"competition_id": "17369", "kernels": [{"ref": "clmentgassmannprince/brainstorming", "kernel_id": "6737872"}, {"ref": "clmentgassmannprince/scripting-test", "kernel_id": "6738059"}]}
{"competition_id": "17371", "kernels": [{"ref": "gautierd/sms-spam-classification", "kernel_id": "6737760"}]}
{"competition_id": "17372", "kernels": [{"ref": "gautierd/few-shots", "kernel_id": "6738809"}]}
{"competition_id": "17374", "kernels": []}
{"competition_id": "17378", "kernels": [{"ref": "shadymohammed7/raisa-competition", "kernel_id": "56055913"}]}
{"competition_id": "17379", "kernels": []}
{"competition_id": "17380", "kernels": []}
{"competition_id": "17381", "kernels": []}
{"competition_id": "17382", "kernels": []}
{"competition_id": "17383", "kernels": []}
{"competition_id": "17384", "kernels": []}
{"competition_id": "17385", "kernels": [{"ref": "andreylipin/exam-results-prediction-system", "kernel_id": "11959477"}, {"ref": "konstantinalbul/choose-tutors-baseline-randomforest", "kernel_id": "11754815"}, {"ref": "mahhets/standard-logistic-regression", "kernel_id": "15833000"}, {"ref": "i1dlmd/l8-choose-tutors", "kernel_id": "20219856"}, {"ref": "psyqidc39/notebooka8ca7f4d6f", "kernel_id": "124892818"}, {"ref": "shion131203/choose-tutors", "kernel_id": "125742120"}, {"ref": "ryoseioshita/choose-tutors", "kernel_id": "128449708"}, {"ref": "philfoden0306/notebookf44576b603", "kernel_id": "128450672"}, {"ref": "shion131203/notebookeabaf0b902", "kernel_id": "128451887"}, {"ref": "yokoo926/choose-tutors", "kernel_id": "128449700"}]}
{"competition_id": "17391", "kernels": [{"ref": "superml/kernel", "kernel_id": "6688474"}]}
{"competition_id": "17399", "kernels": []}
{"competition_id": "17408", "kernels": []}
{"competition_id": "17424", "kernels": []}
{"competition_id": "17425", "kernels": []}
{"competition_id": "17427", "kernels": []}
{"competition_id": "17428", "kernels": []}
{"competition_id": "17439", "kernels": []}
{"competition_id": "17450", "kernels": []}
{"competition_id": "17455", "kernels": [{"ref": "mastmustu/networkx-link-prediction", "kernel_id": "25197451"}]}
{"competition_id": "17458", "kernels": []}
{"competition_id": "17463", "kernels": [{"ref": "antonmakarenko/kernel581a02207f", "kernel_id": "7170833"}]}
{"competition_id": "17466", "kernels": []}
{"competition_id": "17472", "kernels": [{"ref": "nicolas318/kernel5237748a1d", "kernel_id": "6697131"}]}
{"competition_id": "17476", "kernels": []}
{"competition_id": "17483", "kernels": []}
{"competition_id": "17484", "kernels": [{"ref": "habbeda/contradictory-discovery-solved", "kernel_id": "6784174"}, {"ref": "klshang81/nfl-analysis", "kernel_id": "6798356"}, {"ref": "lplewa/ankle-injuries-exploration", "kernel_id": "6798927"}, {"ref": "jpmiller/how-to-adjust-orientation", "kernel_id": "6840904"}, {"ref": "djkaffe123/random-rexploration", "kernel_id": "6950826"}, {"ref": "robikscube/nfl-1st-and-future-analytics-intro", "kernel_id": "6769500"}, {"ref": "debanjanpaul/nfl-analytics-by-deb", "kernel_id": "6979646"}, {"ref": "abhisekdash/nfl-1st-and-future-analytics-explanation", "kernel_id": "6828327"}, {"ref": "jaseziv83/an-analysis-of-nfl-injuries", "kernel_id": "6783992"}, {"ref": "chandraroy/baseline-kernel", "kernel_id": "6889046"}, {"ref": "chandraroy/nfl-analytics", "kernel_id": "6902880"}, {"ref": "rasyidstat/nfl-ff-generate-date-from-playerday", "kernel_id": "6888439"}, {"ref": "docxian/nfl-data-journey-and-simple-model", "kernel_id": "6783079"}, {"ref": "vrhom90/injury-analysis-with-a-jerk", "kernel_id": "6805046"}, {"ref": "aleksandradeis/nfl-injury-analysis", "kernel_id": "6831651"}, {"ref": "shreesha3112/nfl-injury-analysis", "kernel_id": "6866201"}, {"ref": "chaneloberlin/nfl-1st-and-future-analytics-intro-w-dm", "kernel_id": "6770927"}, {"ref": "cabonfim10/eda-nfl-1st-and-future", "kernel_id": "6785244"}, {"ref": "jmaslek/nfl-1st-and-future-simple-hypothesis-test", "kernel_id": "6854695"}, {"ref": "piyush1912/a-better-nfl-analysis", "kernel_id": "6791610"}, {"ref": "pednt9/nfl-1st-and-future-express-comprehensive-eda", "kernel_id": "6780826"}, {"ref": "vipulgandhi/a-comprehensive-guide-to-ensemble-learning", "kernel_id": "6623145"}, {"ref": "lakshmiviswa/nflanalysis", "kernel_id": "6810669"}, {"ref": "bgpablo/visualization-of-player-movement-speed-accel", "kernel_id": "6835036"}, {"ref": "himanshukatarwar/first-analysis", "kernel_id": "6942764"}, {"ref": "vikassingh1996/nfl-analytics-statistical-analysis-feats-logit", "kernel_id": "6787438"}, {"ref": "ezzaldin6/eda-of-nfl-datasets", "kernel_id": "6796574"}, {"ref": "lauriandwu/nfl-comp", "kernel_id": "6976442"}, {"ref": "schnubiiii/nfl-1st-and-future", "kernel_id": "6839299"}, {"ref": "joshuajhchoi/nfl-1st-and-future-analytics-intro", "kernel_id": "6959770"}, {"ref": "erinpsajdl/exploratory-analysis-of-nfl-non-contact-injuries", "kernel_id": "6929637"}, {"ref": "alanasri/more-safety-more-sporty-fun", "kernel_id": "6931522"}, {"ref": "nersirion/nfl-eda-with-matplotlib-and-seaborn", "kernel_id": "6894041"}, {"ref": "arnaugiribetmarch/track-data-summary-metrics-brief-intro", "kernel_id": "6978334"}, {"ref": "claymcooper/nfl-injury-data-analysis", "kernel_id": "6893397"}, {"ref": "philippsinger/nfl-playing-surface-analytics-the-zoo", "kernel_id": "7344062"}, {"ref": "ericfreeman/breakaway-cleats-loading-track-data", "kernel_id": "7173898"}, {"ref": "ericfreeman/breakaway-cleats-analysis", "kernel_id": "7322840"}, {"ref": "ericfreeman/breakaway-cleats-lightgbm", "kernel_id": "7327879"}, {"ref": "ericfreeman/breakaway-cleats-lightgbm-weather", "kernel_id": "7332451"}, {"ref": "ericfreeman/breakaway-cleats-lightgbm-all-players", "kernel_id": "7332487"}, {"ref": "fabian5/nfl-1st-and-future-dbscan-with-lcs-distance", "kernel_id": "7325713"}, {"ref": "jianfupan/nfl-injury-analysis-synthetic-vs-natural-surface", "kernel_id": "7301059"}, {"ref": "datasj/nfl-injury-analysis-submission", "kernel_id": "7343390"}, {"ref": "jagelves/nfl-playing-surface-analytics", "kernel_id": "7260009"}, {"ref": "jpmiller/nfl-1standfuture-dataprep", "kernel_id": "7280613"}, {"ref": "jpmiller/nfl-1standfuture-report", "kernel_id": "7301726"}, {"ref": "jpmiller/using-track-data-with-small-memory", "kernel_id": "7047471"}, {"ref": "iamsumit/nfl-injury-analysis-recommendation", "kernel_id": "7199582"}, {"ref": "rahulaggarwal/kernel-master-nfl", "kernel_id": "7296808"}, {"ref": "rahulaggarwal/kernel-nfl", "kernel_id": "7372643"}, {"ref": "hamish76/kernel67aabf5fdf", "kernel_id": "7233178"}, {"ref": "jessefis/playing-surface-injury-fixed-effects-fingerprint", "kernel_id": "7259282"}, {"ref": "robikscube/1st-and-future-2019-playing-surface-analysis", "kernel_id": "7204836"}, {"ref": "rainasanjay99/nfl-1st-and-future-gzb-analytics", "kernel_id": "7335569"}, {"ref": "rozaki/nfl-analytics-basic", "kernel_id": "7220647"}, {"ref": "neha007/nfl-analytics-eda", "kernel_id": "7028251"}, {"ref": "sudharkj/nfl-surface-vs-injury-vs-performance", "kernel_id": "7132832"}, {"ref": "gulyvz/bokeh-101", "kernel_id": "7602582"}, {"ref": "dpwynne/maximum-speed-by-play-and-position", "kernel_id": "7332216"}, {"ref": "krishm/nfl-1st-and-future-analytics-simulation", "kernel_id": "7100612"}, {"ref": "dianarusu/nfl-play-surface-and-injury-risk-analysis", "kernel_id": "7200184"}, {"ref": "niyamatalmass/investigating-the-factors-for-injuries-in-nfl", "kernel_id": "7234819"}, {"ref": "dpakoh/nfl-analysis-genetic-algorithms-and-lime", "kernel_id": "7347136"}, {"ref": "dpakoh/fork-of-nfl-analysis-genetic-algorithms-and-lime", "kernel_id": "7347363"}, {"ref": "alexabe/explore-joins", "kernel_id": "7317141"}, {"ref": "gauravgulati9c/introduction-nfl-1st-future-analytics", "kernel_id": "7197283"}, {"ref": "jonbown/nfl-injuries-prediction-in-python", "kernel_id": "7008505"}, {"ref": "harnagpal/kernel4368f0a33a", "kernel_id": "7006082"}, {"ref": "mowlanica/nfl-1st-and-future-analysis", "kernel_id": "7218350"}, {"ref": "samextensibleenergy/nfl-injury-analytics", "kernel_id": "7328916"}, {"ref": "elijah24/nfl-injuries", "kernel_id": "7337408"}, {"ref": "lzx1126/nfl-eda-tracking-movement", "kernel_id": "7311831"}, {"ref": "ravijoe/injury-analysis", "kernel_id": "7021534"}, {"ref": "mikewm24/first-and-future", "kernel_id": "7348255"}, {"ref": "jagdeesh1009/nfl-1st-and-future-analytics-kernel21e29b1e4d", "kernel_id": "7135857"}, {"ref": "djblechn/nfl-injuries-analyzed", "kernel_id": "7341363"}, {"ref": "ianasta23/preprocessing-script", "kernel_id": "7245788"}, {"ref": "ianasta23/nfl-load-management", "kernel_id": "7234172"}, {"ref": "fmkt1994/nfl-injury", "kernel_id": "7330666"}, {"ref": "heneely3/kernel2cb7b2a02e", "kernel_id": "7336470"}, {"ref": "lehentschk/q3-deep-learning-for-injury-prediction", "kernel_id": "7331556"}, {"ref": "bonesliu10318/analytics-nfl-1st-and-future", "kernel_id": "7047499"}, {"ref": "cfl1ght/nfl-1st-future-chris-wright-and-josef-durand", "kernel_id": "7331040"}, {"ref": "dnyckees/kernel73265e2b3a", "kernel_id": "7361867"}, {"ref": "myh0307/nfl-analysis", "kernel_id": "7293157"}, {"ref": "garuna1234/nflsurfanalyticsbase", "kernel_id": "7259263"}, {"ref": "colonydrops/nfl-injuries-and-its-risk-factors", "kernel_id": "7256312"}, {"ref": "mojopriest/nflanalysis", "kernel_id": "7109294"}, {"ref": "zinovadr/nfl-injury-analysis-training-with-h2o-automl", "kernel_id": "7340644"}, {"ref": "zinovadr/nfl-tableau-analysis", "kernel_id": "7342173"}, {"ref": "hichamalpha/nfl-1st-and-future-maths-statisics", "kernel_id": "7003448"}, {"ref": "ericahuang0516/nfl-1st-and-future-injury-study", "kernel_id": "7343541"}, {"ref": "ericahuang0516/nfl-1st-and-future-nfl-injury-study", "kernel_id": "7340195"}, {"ref": "mustafameruyert/kernel2392da573d", "kernel_id": "7361341"}, {"ref": "derekxue/nfl-injury-analysis", "kernel_id": "7782005"}, {"ref": "zenterfield/mhp-nfl-lower-extremity-injuries-explored", "kernel_id": "7070276"}, {"ref": "mjiao2/nflanalysis-injury-movement", "kernel_id": "7260899"}, {"ref": "yotambraun124/nfl-yoti", "kernel_id": "7190341"}, {"ref": "ktl008/strides-towards-safety-nfl-1st-and-future-2019", "kernel_id": "7241170"}, {"ref": "ellisk1/movement-and-injury-in-the-nfl", "kernel_id": "7046856"}, {"ref": "ellisk1/movement-and-injury-in-the-nfl-data-cleaning", "kernel_id": "7204249"}, {"ref": "aysheabdelhafez/nfl-1st-and-future-analysis", "kernel_id": "7327686"}, {"ref": "monamaher/kernel11dada7a62", "kernel_id": "7327696"}, {"ref": "monamaher/fork-of-kernel11dada7a62", "kernel_id": "7327799"}, {"ref": "monamaher/kernel350670b178", "kernel_id": "7329552"}, {"ref": "monamaher/kernel33769d0924", "kernel_id": "7329825"}, {"ref": "monamaher/kernel27c0b9a01f", "kernel_id": "7329430"}, {"ref": "erinpsajdl/injury-risk-model-for-nfl-non-contact-injuries", "kernel_id": "7138285"}, {"ref": "erinpsajdl/player-movement-patterns", "kernel_id": "7158310"}, {"ref": "erinpsajdl/player-movement-effects", "kernel_id": "7234923"}, {"ref": "weslayton/nfl-surface-analytics", "kernel_id": "7069735"}, {"ref": "glebkum/nfl-submission", "kernel_id": "7347950"}, {"ref": "sreevenkatesh/nfl-injuries-factors-prediction", "kernel_id": "7323679"}, {"ref": "arnaugiribetmarch/movements-with-greater-risk-of-injury-part-1", "kernel_id": "7002072"}, {"ref": "christophethovex/probabilistic-causal-networks-for-nfl", "kernel_id": "7113805"}, {"ref": "david289/nfl-lower-limb-non-contact-injuries-analysis", "kernel_id": "7347274"}, {"ref": "benh20/q2-wr-movement", "kernel_id": "7345380"}, {"ref": "benh20/q1-cost-of-turf-field", "kernel_id": "7345768"}, {"ref": "benjenkins96/nfl-1st-and-future-analysis", "kernel_id": "7279965"}, {"ref": "rd10397/nfl-surface-analytics", "kernel_id": "7332712"}, {"ref": "nik129/cfe-and-dsps-new-metrics-for-predicting-injury", "kernel_id": "7347508"}, {"ref": "anilisk/my-first-kernel-to-analyse-nfl-injuries", "kernel_id": "8734837"}, {"ref": "kwnjh3424/nfl-1st-and-future-analytics-intro", "kernel_id": "9762829"}, {"ref": "divya1gupta/nfl-games-eda", "kernel_id": "9342333"}, {"ref": "alfarias/fewer-injuries-more-touchdowns-data-analytics", "kernel_id": "9001150"}, {"ref": "rodrimc/nfl-why-do-players-get-injured", "kernel_id": "9248640"}, {"ref": "kimsohyeons/20200608-kimsohyeon-nfl-injury-analysis", "kernel_id": "9987148"}, {"ref": "affanamin/nfl-1st-and-future-eda-injury-analysis", "kernel_id": "10845367"}, {"ref": "arielfbello/nfl-playing-surface-analytics-the-zoo", "kernel_id": "15349875"}, {"ref": "priankravichandar/nfl-playing-surface-data-analysis", "kernel_id": "20671410"}, {"ref": "jaytlinaskew/nfl-injuries", "kernel_id": "35824039"}, {"ref": "tejaspant2014/tacticoai-lower-limb-injury-prediction-in-the-nfl", "kernel_id": "113403101"}]}
{"competition_id": "17495", "kernels": []}
{"competition_id": "17498", "kernels": [{"ref": "yunsuxiaozi/pytorch-segmentation-u-net", "kernel_id": "41590294"}, {"ref": "majkelz/project-4-segmentation-from-opencv-course", "kernel_id": "42346757"}]}
{"competition_id": "17502", "kernels": []}
{"competition_id": "17509", "kernels": []}
{"competition_id": "17510", "kernels": []}
{"competition_id": "17514", "kernels": [{"ref": "benjamincabalonajr/decent-score-using-simpler-models", "kernel_id": "6719105"}]}
{"competition_id": "17530", "kernels": [{"ref": "mrartemevme/kernel24bd0807fe", "kernel_id": "6724870"}, {"ref": "margaretgreen/kernel7498881653", "kernel_id": "7136089"}]}
{"competition_id": "17535", "kernels": []}
{"competition_id": "17536", "kernels": []}
{"competition_id": "17538", "kernels": [{"ref": "ouwyukha/pda-fastfm", "kernel_id": "9185570"}, {"ref": "ouwyukha/pda-surprise", "kernel_id": "9200608"}, {"ref": "ouwyukha/pda-turicreate-rankingfactorizationrecommender-pol", "kernel_id": "9208554"}, {"ref": "drainvers/pda2019-benchmark-implicit", "kernel_id": "9293425"}, {"ref": "drainvers/content-based-benchmark-pda", "kernel_id": "9200373"}]}
{"competition_id": "17554", "kernels": []}
{"competition_id": "17557", "kernels": []}
{"competition_id": "17562", "kernels": []}
{"competition_id": "17572", "kernels": []}
{"competition_id": "17575", "kernels": []}
{"competition_id": "17578", "kernels": []}
{"competition_id": "17580", "kernels": []}
{"competition_id": "17585", "kernels": []}
{"competition_id": "17586", "kernels": []}
{"competition_id": "17588", "kernels": []}
{"competition_id": "17589", "kernels": [{"ref": "anastasiayanina/lstm-baseline", "kernel_id": "6798426"}, {"ref": "kashnitsky/arxiv-title-generation-dumb-baseline", "kernel_id": "8702628"}, {"ref": "jaremy/arxiv-title-generation-dumb-baseline", "kernel_id": "17901915"}, {"ref": "marucmp/dumber-baseline", "kernel_id": "19321851"}, {"ref": "mchernyshev/arxiv-title-generator-t5-small-fit", "kernel_id": "105143130"}]}
{"competition_id": "17590", "kernels": []}
{"competition_id": "17592", "kernels": [{"ref": "arjanso/reinforcement-learning-chess-1-policy-iteration", "kernel_id": "4119136"}, {"ref": "arjanso/reinforcement-learning-chess-2-model-free-methods", "kernel_id": "4200364"}, {"ref": "arjanso/reinforcement-learning-chess-3-q-networks", "kernel_id": "4225001"}, {"ref": "arjanso/reinforcement-learning-chess-4-policy-gradients", "kernel_id": "4700448"}, {"ref": "domcastro/connectx-heuristic-reward", "kernel_id": "7709734"}, {"ref": "domcastro/connectx-agent", "kernel_id": "7425151"}, {"ref": "domcastro/connectx-rule-based-easy-solution-or-negamax", "kernel_id": "7426993"}, {"ref": "celiksemih/connectx-heuristic-reward", "kernel_id": "7469741"}, {"ref": "kwabenantim/simple-agent-in-a-matrix", "kernel_id": "7515361"}, {"ref": "hubcity/a-more-useful-negamax-opponent-connectx", "kernel_id": "7734066"}, {"ref": "mikeholcomb/connectx-variants", "kernel_id": "7700057"}, {"ref": "gibrano/deep-neuroevolution-pytorch", "kernel_id": "7900772"}, {"ref": "kambarakun/random-agent-w-o-invalid-choice", "kernel_id": "7367604"}, {"ref": "groundhog/attacks", "kernel_id": "7921146"}, {"ref": "paulorzp/one-line-139-bytes-agent-1000", "kernel_id": "7420609"}, {"ref": "mpetyak/basic-agent-simplifying-submission", "kernel_id": "7364199"}, {"ref": "dysonlin/connectx-getting-started", "kernel_id": "7475099"}, {"ref": "agade09/connectx-with-minimax-dqn", "kernel_id": "7850516"}, {"ref": "aritrase/connectx-with-q-learning", "kernel_id": "7437402"}, {"ref": "aritrase/deepqlearning-pytorch-starter-wip", "kernel_id": "7473178"}, {"ref": "jesperdramsch/intro-to-connextx-env-and-minimax", "kernel_id": "7364585"}, {"ref": "grapestone5321/connectx-getting-started-submission", "kernel_id": "7365296"}, {"ref": "kongkanon/connect4-casino-style", "kernel_id": "7575933"}, {"ref": "stetelepta/connectx-rule-based-0-3", "kernel_id": "7567287"}, {"ref": "kongaevans/training-q-learning-agent-with-kaggle-environment", "kernel_id": "7591638"}, {"ref": "tanreinama/simple-game-tree-max-depth-4", "kernel_id": "7365693"}, {"ref": "alenic/serializing-q-table-into-submission-py", "kernel_id": "7388326"}, {"ref": "basu369victor/my-first-attempt-with-reinforcement-learning", "kernel_id": "7498396"}, {"ref": "ranggarppb/connectx-dengan-deep-q-learning", "kernel_id": "7686576"}, {"ref": "phunghieu/connectx-with-deep-q-learning-pytorch", "kernel_id": "7538383"}, {"ref": "phunghieu/connectx-with-q-learning", "kernel_id": "7373205"}, {"ref": "phunghieu/connectx-with-deep-q-learning", "kernel_id": "7401015"}, {"ref": "bibhasmondal96/connectx-using-deep-q-learning", "kernel_id": "7793627"}, {"ref": "cponge/connectx-basic-agent-which-spots-obvious-moves", "kernel_id": "7919348"}, {"ref": "nickulus/connectx-with-stable-baselines", "kernel_id": "7732819"}, {"ref": "tomo20180402/connectx-rule-based-easy-solution", "kernel_id": "7366129"}, {"ref": "ldm314/connectx-greedy-agent", "kernel_id": "7365311"}, {"ref": "nxhong93/deep-q-learning", "kernel_id": "7553049"}, {"ref": "jtbontinck/deep-q-network-w-o-package-inference-only", "kernel_id": "7390519"}, {"ref": "jazivxt/sportsman", "kernel_id": "7376434"}, {"ref": "ajeffries/connectx-getting-started", "kernel_id": "7362459"}, {"ref": "alexisbcook/exercise-play-the-game", "kernel_id": "7677818"}, {"ref": "alexisbcook/create-a-connectx-agent", "kernel_id": "7932671"}, {"ref": "wjburns/connectx-agent", "kernel_id": "7374382"}, {"ref": "sagau5999/simple-q-learning-example", "kernel_id": "7500699"}, {"ref": "mpwolke/disconnectx", "kernel_id": "7365004"}, {"ref": "aitude/connectx-hello-world-agent", "kernel_id": "7371928"}, {"ref": "imoisharma/connectx-variants", "kernel_id": "7706401"}, {"ref": "marcovasquez/how-to-play-with-computer-and-check-winner", "kernel_id": "7363231"}, {"ref": "ivanshchukin/connectx-keras-rl", "kernel_id": "7374496"}, {"ref": "kronossaurus/connectx-simple-rule-based-approach", "kernel_id": "7731551"}, {"ref": "kagglesilphf/connectx-replay", "kernel_id": "7924286"}, {"ref": "ivanpanfilov/connectx-getting-started", "kernel_id": "7417791"}, {"ref": "nikamrupesh/my-first-attempt-with-reinforcement-learning", "kernel_id": "7896301"}, {"ref": "hubcity/scraping-kaggle-for-submission-stats-connectx", "kernel_id": "8695558"}, {"ref": "yohanobadia/attention-connectx", "kernel_id": "8309757"}, {"ref": "sisayie/connectx-with-cross-entropy", "kernel_id": "8332310"}, {"ref": "jagannathrk/reinforcement-learning-chess-3-q-networks", "kernel_id": "8506551"}, {"ref": "jagannathrk/connectx-with-minimax-dqn", "kernel_id": "8505179"}, {"ref": "alex0404/markov-processes-rl-basics-theory", "kernel_id": "8399446"}, {"ref": "arateris/hard-check-2step-lookahead", "kernel_id": "8468473"}, {"ref": "arateris/2-step-lookahead", "kernel_id": "8458345"}, {"ref": "arateris/exercise-deep-reinforcement-learning", "kernel_id": "8458671"}, {"ref": "arateris/create-a-connectx-agent", "kernel_id": "8445780"}, {"ref": "jbj2505/submitting-more-than-one-python-file", "kernel_id": "8787099"}, {"ref": "leejohnthuan/connectx-with-deep-q-learning-pytorch", "kernel_id": "8114133"}, {"ref": "akashsuper2000/connectx-getting-started", "kernel_id": "8732007"}, {"ref": "yegorbiryukov/connectx-swarm-intelligence", "kernel_id": "8548163"}, {"ref": "yegorbiryukov/connectx-rule-based", "kernel_id": "8219235"}, {"ref": "alexisbcook/exercise-deep-reinforcement-learning", "kernel_id": "8222487"}, {"ref": "alexisbcook/play-the-game", "kernel_id": "8139453"}, {"ref": "alexisbcook/one-step-lookahead", "kernel_id": "8139641"}, {"ref": "alexisbcook/n-step-lookahead", "kernel_id": "8139643"}, {"ref": "alexisbcook/deep-reinforcement-learning", "kernel_id": "8139645"}, {"ref": "alexisbcook/exercise-one-step-lookahead", "kernel_id": "8139646"}, {"ref": "alexisbcook/exercise-n-step-lookahead", "kernel_id": "8139647"}, {"ref": "brendan45774/connectx-baseline", "kernel_id": "8738097"}, {"ref": "davidrodrod/exercise-play-the-game", "kernel_id": "8892664"}, {"ref": "dimka11/exercise-one-step-lookahead", "kernel_id": "8525174"}, {"ref": "shupletsovm/first-commit-non-rl-agent", "kernel_id": "8046858"}, {"ref": "kirtibg/exercise-one-step-lookahead", "kernel_id": "8746744"}, {"ref": "econjt/dqn-with-cnn-created-myagent-and-battled", "kernel_id": "8699826"}, {"ref": "junichiromorita/hard-to-lose", "kernel_id": "8665684"}, {"ref": "jamesdavey/exercise-n-step-lookahead", "kernel_id": "8890553"}, {"ref": "oskarfirlej/exercise-deep-reinforcement-learning", "kernel_id": "8775332"}, {"ref": "oskarfirlej/exercise-n-step-lookahead", "kernel_id": "8775287"}, {"ref": "oskarfirlej/exercise-one-step-lookahead", "kernel_id": "8775137"}, {"ref": "simeonlichtenstein/my-working-submission", "kernel_id": "8945018"}, {"ref": "ekzemplaro/connectx-mar27-2020", "kernel_id": "8588693"}, {"ref": "pierreguionnet/connectx-a-version", "kernel_id": "8347898"}, {"ref": "rodrigollanes/exercise-play-the-game", "kernel_id": "8458227"}, {"ref": "matant/pytorch-dqn-connectx", "kernel_id": "8695638"}, {"ref": "rutujarane1/exercise-n-step-lookahead", "kernel_id": "8553317"}, {"ref": "pablovallejo/exercise-play-the-game", "kernel_id": "8995124"}, {"ref": "ismailcanga/n-step-lookahead-weighted-randomnes-via-counter", "kernel_id": "8980367"}, {"ref": "jamesmcguigan/connectx-random-agent", "kernel_id": "9809219"}, {"ref": "jamesmcguigan/connectx-manually-coded-strategies", "kernel_id": "9810054"}, {"ref": "helloworld141/exercise-play-the-game", "kernel_id": "9040318"}, {"ref": "helloworld141/exercise-one-step-lookahead", "kernel_id": "9166914"}, {"ref": "timoboz/connectx-aotr-hackathon", "kernel_id": "9299867"}, {"ref": "timoboz/connectx-aotr-agent-timo", "kernel_id": "9294165"}, {"ref": "peijenlin/peijen-connectx", "kernel_id": "9310309"}, {"ref": "zanedurante/intelligent-monte-carlo", "kernel_id": "9140949"}, {"ref": "kintumiku/exercise-one-step-lookahead", "kernel_id": "9057282"}, {"ref": "nahumsa/alpha-beta-prunning", "kernel_id": "9763932"}, {"ref": "yegorbiryukov/cell-swarm", "kernel_id": "9361141"}, {"ref": "aakashg1999/exercise-one-step-lookahead", "kernel_id": "9131179"}, {"ref": "aakashg1999/exercise-play-the-game", "kernel_id": "9080951"}, {"ref": "mahirahmzh/connectx-getting-started", "kernel_id": "9294725"}, {"ref": "priteshraj10/play-game", "kernel_id": "9033161"}, {"ref": "indigosphinx/exercise-play-the-game", "kernel_id": "9441115"}, {"ref": "alexisbcook/getting-started-with-halite", "kernel_id": "9871527"}, {"ref": "kuyantsevvp/kernel7b1790d15c", "kernel_id": "9690341"}, {"ref": "mpwolke/exercise-play-the-game", "kernel_id": "9119648"}, {"ref": "mpwolke/exercise-one-step-lookahead", "kernel_id": "9119912"}, {"ref": "mpwolke/exercise-deep-reinforcement-learning", "kernel_id": "9212477"}, {"ref": "choithuthoi/negamax-approach", "kernel_id": "9391625"}, {"ref": "taiwokenny/exercise-one-step-lookahead", "kernel_id": "9778893"}, {"ref": "ssk4988/connectx-minimax-approach", "kernel_id": "9693985"}, {"ref": "ayushvarshnay/exercise-play-the-game", "kernel_id": "9758862"}, {"ref": "maxr43/connect-4", "kernel_id": "9896291"}, {"ref": "matant/monte-carlo-tree-search-connectx", "kernel_id": "9242093"}, {"ref": "abdullatiftopu/connectx-getting-started", "kernel_id": "9393851"}, {"ref": "roberthortonii/connectx-getting-started", "kernel_id": "9367020"}, {"ref": "babs28806/exercise-deep-reinforcement-learning", "kernel_id": "10804453"}, {"ref": "jesusfernandezrevelles/exercise-play-the-game", "kernel_id": "10222666"}, {"ref": "nakamichi/exercise-one-step-lookahead", "kernel_id": "10652830"}, {"ref": "jamesmcguigan/connectx-alphabeta-minimax", "kernel_id": "10069931"}, {"ref": "mhyodo/connectx-with-deep-q-learning-ver", "kernel_id": "10499150"}, {"ref": "athews/connectx-getting-started-with-game-ai", "kernel_id": "10754237"}, {"ref": "ashutosh111/exercise-play-the-game", "kernel_id": "10453503"}, {"ref": "shebinscaria/tutorial-connectx-minimax-pruning", "kernel_id": "10262610"}, {"ref": "sklasfeld/connect4game-without-reinforcement-learning", "kernel_id": "10190653"}, {"ref": "toshikazuwatanabe/connect4-make-submission-with-stable-baselines3", "kernel_id": "10681554"}, {"ref": "piyushmishra1999/ai-to-play-connect-4-better-than-me", "kernel_id": "10197072"}, {"ref": "ekikagg/connect-x-practise", "kernel_id": "10029212"}, {"ref": "fanbyprinciple/connectx-rule-based-easy-solution", "kernel_id": "10574612"}, {"ref": "jorgeavila1/create-a-connectx-agent", "kernel_id": "10177842"}, {"ref": "nlebang/connect-x-for-newbie", "kernel_id": "10246364"}, {"ref": "nlebang/revised-exercise-play-the-game", "kernel_id": "10253343"}, {"ref": "nlebang/revised-exercise-one-step-lookahead", "kernel_id": "10268754"}, {"ref": "nlebang/revised-exercise-n-step-lookahead", "kernel_id": "10270495"}, {"ref": "davidmis/connectx-beginner-tips-persistent-sate-timeouts", "kernel_id": "10425595"}, {"ref": "davidmis/connectx-monte-carlo-w-global-state", "kernel_id": "10463920"}, {"ref": "davidmis/connectx-monte-carlo", "kernel_id": "10316492"}, {"ref": "kosta324/exercise-deep-reinforcement-learning", "kernel_id": "10960275"}, {"ref": "c7934597/getting-started-with-connectx", "kernel_id": "10183316"}, {"ref": "vatch123/connectx-minimax", "kernel_id": "10268566"}, {"ref": "vatch123/exercise-one-step-lookahead", "kernel_id": "10248947"}, {"ref": "brandonnova/connect-x-v1", "kernel_id": "10541871"}, {"ref": "gordotron85/teaching-an-agent-to-play-connect-4", "kernel_id": "10830157"}, {"ref": "danich329/connect4game-with-reinforcement-learning", "kernel_id": "10566784"}, {"ref": "huhao05133/exercise-deep-reinforcement-learning", "kernel_id": "10349359"}, {"ref": "huhao05133/n-step-lookahead", "kernel_id": "10339367"}, {"ref": "huhao05133/play-the-game", "kernel_id": "10334546"}, {"ref": "huhao05133/one-step-lookahead", "kernel_id": "10335693"}, {"ref": "salmaneunus/one-step-lookahead-reinforcement-learning-1", "kernel_id": "10946129"}, {"ref": "metehankutlu/exercise-one-step-lookahead", "kernel_id": "10989864"}, {"ref": "metehankutlu/exercise-play-the-game", "kernel_id": "10705205"}, {"ref": "nitramj/double-q-learning-implementation", "kernel_id": "10023078"}, {"ref": "elasmotherium/up-to-11-step-lookahead-for-training", "kernel_id": "10757325"}, {"ref": "gyozzza/alphazero-like-combination-of-mcts-and-dnn", "kernel_id": "10081054"}, {"ref": "sagnikpatra/exercise-play-the-game", "kernel_id": "10709837"}, {"ref": "saraswatitiwari/kernel6d2e05b93b", "kernel_id": "10252372"}, {"ref": "saraswatitiwari/exercise-play-the-game", "kernel_id": "10454261"}, {"ref": "aman2000jaiswal/exercise-play-the-game", "kernel_id": "10294879"}, {"ref": "augustocorrea48/reinforcmentlearningtutorial", "kernel_id": "10209897"}, {"ref": "briansxu/connectx-w-pytorch-dqn", "kernel_id": "10001199"}, {"ref": "thiagobello/connectx-getting-started", "kernel_id": "10489975"}, {"ref": "ananyaroy1011/connect4", "kernel_id": "10660763"}, {"ref": "ananyaroy1011/exercise-play-the-game", "kernel_id": "10661111"}, {"ref": "yasunorisato/exercise-n-step-lookahead", "kernel_id": "10268013"}, {"ref": "yasunorisato/kernel3992c9f576", "kernel_id": "10279292"}, {"ref": "yasunorisato/minimax-alphabeta", "kernel_id": "10605157"}, {"ref": "cbackes000/exercise-play-the-game", "kernel_id": "10024430"}, {"ref": "cbackes000/exercise-one-step-lookahead", "kernel_id": "10024866"}, {"ref": "cbackes000/exercise-deep-reinforcement-learning", "kernel_id": "10044326"}, {"ref": "cbackes000/exercise-n-step-lookahead", "kernel_id": "10042143"}, {"ref": "aishwaryabala/exercise-play-the-game", "kernel_id": "10077023"}, {"ref": "ellertsmari/exercise-deep-reinforcement-learning", "kernel_id": "10292709"}, {"ref": "ellertsmari/exercise-n-step-lookahead", "kernel_id": "10211731"}, {"ref": "bkowshik/connect-four", "kernel_id": "10229832"}, {"ref": "connect4alphazero/alphazero-baseline-connectx", "kernel_id": "10005995"}, {"ref": "nakaokazuki/kernel55186e9127", "kernel_id": "10554990"}, {"ref": "naruho/kernel62d3793d3c", "kernel_id": "10517218"}, {"ref": "naruho/kernel3825133d63", "kernel_id": "10529420"}, {"ref": "kaitokawasaka/kernel4c5ca7c421", "kernel_id": "10467495"}, {"ref": "syoyanakajima0428/kernel2153fea94e", "kernel_id": "10720694"}, {"ref": "erdemerbaba/exercise-play-the-game", "kernel_id": "10741038"}, {"ref": "miteshkumar7/exercise-play-the-game", "kernel_id": "10528647"}, {"ref": "brownliuinnz/exercise-play-the-game", "kernel_id": "10949765"}, {"ref": "shadowtime2000/connectx", "kernel_id": "10960654"}, {"ref": "jamesmcguigan/connectx-mcts-bitboard-bitsquares-heuristic", "kernel_id": "11387780"}, {"ref": "jamesmcguigan/connectx-vectorized-bitshifting-tutorial", "kernel_id": "11471038"}, {"ref": "jamesmcguigan/connectx-implementing-functions-in-pytorch", "kernel_id": "11476202"}, {"ref": "jamesmcguigan/connectx-monty-carlo-tree-search", "kernel_id": "11028681"}, {"ref": "jamesmcguigan/connectx-numba-testcases", "kernel_id": "11057689"}, {"ref": "crazychild/connectx-agent-from-exercise-2", "kernel_id": "11489856"}, {"ref": "crazychild/connectx-agent-with-1-step-lookahead", "kernel_id": "11490664"}, {"ref": "louis925/connectx-with-q-learning", "kernel_id": "11605542"}, {"ref": "ikechan/connectx-getting-started", "kernel_id": "11986763"}, {"ref": "mkahraman19/play-the-game", "kernel_id": "11815517"}, {"ref": "metehankutlu/exercise-deep-reinforcement-learning", "kernel_id": "11443911"}, {"ref": "metehankutlu/exercise-n-step-lookahead", "kernel_id": "11102593"}, {"ref": "sidagar/making-minimax-20x-faster", "kernel_id": "11894449"}, {"ref": "sidagar/getting-1000-score-using-only-minimax", "kernel_id": "11004476"}, {"ref": "joerakhimov/connectx-3", "kernel_id": "11880085"}, {"ref": "fauh45/connect-x-with-q-learning", "kernel_id": "11611004"}, {"ref": "garyongguanjie/numba-speedtest", "kernel_id": "11254016"}, {"ref": "garyongguanjie/alphazeroconnect4", "kernel_id": "11220925"}, {"ref": "garyongguanjie/minimax-alphabeta-playable", "kernel_id": "11511865"}, {"ref": "garyongguanjie/mini-max-alpha-beta-no-np", "kernel_id": "11331995"}, {"ref": "velenos14/exercise-n-step-lookahead", "kernel_id": "11333185"}, {"ref": "sagnikpatra/exercise-n-step-lookahead", "kernel_id": "11007747"}, {"ref": "sagnikpatra/exercise-one-step-lookahead", "kernel_id": "11007369"}, {"ref": "dongshengcheng/connectx-with-q-learning", "kernel_id": "11090423"}, {"ref": "sadmanaraf/starter-connect-x", "kernel_id": "11523644"}, {"ref": "sadmanaraf/connect-x-starter", "kernel_id": "11523420"}, {"ref": "jwilliamhughdore/fastest-n-step-lookahead-minimax-agent-with-cython", "kernel_id": "11936425"}, {"ref": "jwilliamhughdore/tactical-varying-step-minimax-gets-1065", "kernel_id": "11942241"}, {"ref": "glazed/monte-carlo-w-adaptive-playouts", "kernel_id": "12403550"}, {"ref": "koutetsu/connectx-multi-agent-reinforcement-learning-2", "kernel_id": "12762311"}, {"ref": "koutetsu/connectx-multi-agent-reinforcement-learning-1", "kernel_id": "12623350"}, {"ref": "mrgeislinger/connectx-getting-started-variant", "kernel_id": "12600552"}, {"ref": "lbarbosa/connectx-deep-reinforcement-learning", "kernel_id": "12884413"}, {"ref": "anweshasinha/exercise-deep-reinforcement-learning", "kernel_id": "12093471"}, {"ref": "anweshasinha/exercise-n-step-lookahead", "kernel_id": "12093379"}, {"ref": "anweshasinha/exercise-one-step-lookahead", "kernel_id": "12093256"}, {"ref": "anweshasinha/exercise-play-the-game", "kernel_id": "12092821"}, {"ref": "suegreen/exercise-play-the-game", "kernel_id": "12778352"}, {"ref": "higepon/interesting-side-effect-of-env-step-when-self-play", "kernel_id": "12088921"}, {"ref": "tobiasbueck/connectx", "kernel_id": "12083786"}, {"ref": "bakhshiyev/exercise-one-step-lookahead", "kernel_id": "12207631"}, {"ref": "bakhshiyev/exercise-n-step-lookahead", "kernel_id": "12240899"}, {"ref": "joerakhimov/connectx-11", "kernel_id": "12557574"}, {"ref": "joerakhimov/connectx-10", "kernel_id": "12391310"}, {"ref": "joerakhimov/connectx-6-custom-cnn", "kernel_id": "12128319"}, {"ref": "joerakhimov/connectx-9", "kernel_id": "12188433"}, {"ref": "tarunbisht11/get-started-with-kaggle-environment", "kernel_id": "12041484"}, {"ref": "moneebarifbbs/connectx-getting-started", "kernel_id": "12523716"}, {"ref": "gamebo11/agent-vinod", "kernel_id": "12728020"}, {"ref": "davidabelin/heuristic", "kernel_id": "12748439"}, {"ref": "davidabelin/learner-save-model", "kernel_id": "12634889"}, {"ref": "davidabelin/alphabeta-agent", "kernel_id": "12632355"}, {"ref": "davidabelin/given-deep-learner", "kernel_id": "12611433"}, {"ref": "davidabelin/n-step-agent", "kernel_id": "12600985"}, {"ref": "theuniversesd/exercise-n-step-lookahead", "kernel_id": "12122749"}, {"ref": "reinforcer/exercise-deep-reinforcement-learning", "kernel_id": "12046510"}, {"ref": "hak999/connect4-minmax-conventional-baseline", "kernel_id": "12940706"}, {"ref": "olivermoody/connectx-reinforcement-learning", "kernel_id": "12785138"}, {"ref": "ricardoalbertodata/exercise-deep-reinforcement-learning", "kernel_id": "13992112"}, {"ref": "masurte/deep-q-learning-implementation", "kernel_id": "13874284"}, {"ref": "masurte/deep-q-learning", "kernel_id": "13787601"}, {"ref": "masurte/dueling-double-dqn", "kernel_id": "13792281"}, {"ref": "masurte/ppo-algorithm", "kernel_id": "13826599"}, {"ref": "codenamekash/exercise-n-step-lookahead", "kernel_id": "13257521"}, {"ref": "kieranhobden/beginner-s-guide-to-connectx", "kernel_id": "13194538"}, {"ref": "kieranhobden/reinforcement-learning-in-connectx", "kernel_id": "13325247"}, {"ref": "upsidedowncookie/does-connectx-env-run-not-allow-print-statements", "kernel_id": "14288459"}, {"ref": "georgezoto/game-ai-and-reinforcement-learning-play-the-game", "kernel_id": "14211869"}, {"ref": "georgezoto/play-the-game", "kernel_id": "14212672"}, {"ref": "georgezoto/game-ai-and-rl-deep-reinforcement-learning", "kernel_id": "14873657"}, {"ref": "georgezoto/game-ai-and-rl-one-step-lookahead", "kernel_id": "14721463"}, {"ref": "georgezoto/game-ai-and-rl-n-step-lookahead", "kernel_id": "14721879"}, {"ref": "maffei2443/exercise-play-the-game", "kernel_id": "14329368"}, {"ref": "tkarahan/connectx-rl-experiment", "kernel_id": "14167635"}, {"ref": "jganjga/intro-to-game-ai-and-reinforcement-learning-1", "kernel_id": "14858484"}, {"ref": "riadalmadani/minimax-agnet-with-4-steps", "kernel_id": "14977320"}, {"ref": "kieranhobden/connectx-functions-explained", "kernel_id": "14543279"}, {"ref": "dennisho/exercise-deep-reinforcement-learning", "kernel_id": "14319608"}, {"ref": "dennisho/exercise-play-the-game", "kernel_id": "14315045"}, {"ref": "dennisho/exercise-n-step-lookahead", "kernel_id": "14317734"}, {"ref": "dennisho/exercise-one-step-lookahead", "kernel_id": "14316514"}, {"ref": "miguelbaigorri/exercise-play-the-game", "kernel_id": "14384099"}, {"ref": "miguelbaigorri/exercise-one-step-lookahead", "kernel_id": "14386316"}, {"ref": "miguelbaigorri/n-step-lookahead-with-alpha-beta-prunning", "kernel_id": "14443331"}, {"ref": "hendryr/exercise-deep-reinforcement-learning", "kernel_id": "14520861"}, {"ref": "stuartmcintosh/exercise-deep-reinforcement-learning", "kernel_id": "14989511"}, {"ref": "meghamgarg/exercise-play-the-game", "kernel_id": "15408508"}, {"ref": "jerinm/connectx-checkers-simulation", "kernel_id": "15614336"}, {"ref": "huangjiawei0824/exercise-n-step-lookahead", "kernel_id": "15140120"}, {"ref": "leonardoferigutti/minimax-algorithm-with-alpha-beta-prunning", "kernel_id": "15224553"}, {"ref": "wiwiteria/exercise-one-step-lookahead", "kernel_id": "15180057"}, {"ref": "wiwiteria/exercise-play-the-game", "kernel_id": "15154246"}, {"ref": "vishnuravi99/notebook814d4b7eeb", "kernel_id": "15425392"}, {"ref": "marcodepaolini/faster-alpha-beta-pruning-n-step-lookahead", "kernel_id": "15797990"}, {"ref": "habibmrad1983/exercise-deep-reinforcement-learning", "kernel_id": "16646998"}, {"ref": "gisletv/play-the-game", "kernel_id": "16704329"}, {"ref": "viznrvn/deep-q-learning-with-experience-replay-theory", "kernel_id": "16966432"}, {"ref": "lucabasa/a-shameless-journey-into-rl-from-scratch", "kernel_id": "16202495"}, {"ref": "diegoauad/connectx-rl-experiment", "kernel_id": "16447041"}, {"ref": "diegoauad/fork-of-connectx-with-stable-baselines", "kernel_id": "16436176"}, {"ref": "kishankartha/one-step-lookahead", "kernel_id": "16852184"}, {"ref": "lizkrema/exercise-one-step-lookahead", "kernel_id": "16251449"}, {"ref": "lalonuez/exercise-play-the-game", "kernel_id": "16116113"}, {"ref": "lalonuez/exercise-one-step-lookahead", "kernel_id": "16117244"}, {"ref": "ertugrulakay/improved-deep-reinforcement-learning", "kernel_id": "16680625"}, {"ref": "jennerbrandon/ml-batch-ms-connect", "kernel_id": "16606966"}, {"ref": "gyozzza/pozero-approach", "kernel_id": "17938307"}, {"ref": "robertmacwha/connextx-shared-notebook", "kernel_id": "17273636"}, {"ref": "mariah2020/exercise-deep-reinforcement-learning", "kernel_id": "17858010"}, {"ref": "kennych/exercise-one-step-lookahead", "kernel_id": "17976599"}, {"ref": "kennych/exercise-play-the-game", "kernel_id": "17976472"}, {"ref": "kennych/exercise-deep-reinforcement-learning", "kernel_id": "17989878"}, {"ref": "kennych/exercise-n-step-lookahead", "kernel_id": "17989716"}, {"ref": "rajeshsundaram/exercise-play-the-game", "kernel_id": "17828014"}, {"ref": "rajeshsundaram/exercise-n-step-lookahead", "kernel_id": "17851289"}, {"ref": "rajeshsundaram/exercise-deep-reinforcement-learning", "kernel_id": "17856329"}, {"ref": "burakerdoan/exercise-deep-reinforcement-learning", "kernel_id": "17277731"}, {"ref": "wuliuqii/notebook803f40770c", "kernel_id": "17399500"}, {"ref": "carlosesteves/exercise-deep-reinforcement-learning", "kernel_id": "17427671"}, {"ref": "ace147/connectx-practice-notebook1", "kernel_id": "18137133"}, {"ref": "ace147/exercise-play-the-game", "kernel_id": "18138174"}, {"ref": "ace147/exercise-one-step-lookahead", "kernel_id": "18211231"}, {"ref": "ace147/exercise-n-step-lookahead", "kernel_id": "18232419"}, {"ref": "viacheslavkucherenko/exercise-deep-reinforcement-learning", "kernel_id": "18534251"}, {"ref": "asadsabir2000/exercise-play-the-game", "kernel_id": "18892378"}, {"ref": "mickaelfayeulle/exercise-play-the-game", "kernel_id": "18032994"}, {"ref": "mickaelfayeulle/exercise-one-step-lookahead", "kernel_id": "18034876"}, {"ref": "mickaelfayeulle/exercise-n-step-lookahead", "kernel_id": "18035320"}, {"ref": "mickaelfayeulle/exercise-deep-reinforcement-learning", "kernel_id": "18035770"}, {"ref": "carlosmerino/exercise-play-the-game", "kernel_id": "18713561"}, {"ref": "mugicha999/notebookce9ad0f4cf", "kernel_id": "18941556"}, {"ref": "koheiyamamoto0531/q-learning01", "kernel_id": "18726782"}, {"ref": "kei456/notebookce9ad0f4cf", "kernel_id": "18826089"}, {"ref": "kagglesalmon/connect4", "kernel_id": "18941026"}, {"ref": "kawabatads/q-learning01-1", "kernel_id": "18730010"}, {"ref": "matsumoto1109/q-learning01", "kernel_id": "18856081"}, {"ref": "tadamasahayata/notebookce9ad0f4cf", "kernel_id": "18941432"}, {"ref": "asadsabir2000/exercise-n-step-lookahead", "kernel_id": "19898897"}, {"ref": "asadsabir2000/exercise-one-step-lookahead", "kernel_id": "19872369"}, {"ref": "arontha/n-1-lookahead-using-classes-starter-template", "kernel_id": "20611010"}, {"ref": "pacomeperez/projet-8-connectx", "kernel_id": "20089740"}, {"ref": "aminuabdusalam/bot-smart", "kernel_id": "20167047"}, {"ref": "thbalaji/day-29", "kernel_id": "20361942"}, {"ref": "asadsabir2000/exercise-deep-reinforcement-learning", "kernel_id": "20748893"}, {"ref": "tahaakr/exercise-play-the-game", "kernel_id": "20846932"}, {"ref": "cookingmath/ds-huddle-1-deep-reinforcement-learning", "kernel_id": "21238353"}, {"ref": "sorkun/5x-faster-heuristic", "kernel_id": "21378188"}, {"ref": "qlaudy/connect-x-heuristic", "kernel_id": "21327535"}, {"ref": "drzhuzhe/reinforcement-learning-chess-3-q-networks", "kernel_id": "21609230"}, {"ref": "drzhuzhe/reinforcement-learning-chess-1-policy-iteration", "kernel_id": "21555092"}, {"ref": "drzhuzhe/reinforcement-learning-chess-2-model-free-methods", "kernel_id": "21578772"}, {"ref": "oeyvindt/notebook3f60010bf4", "kernel_id": "21356404"}, {"ref": "filipinogambino/double-dqn", "kernel_id": "22978329"}, {"ref": "amanalisiddiqui/exercise-play-the-game", "kernel_id": "22795983"}, {"ref": "alossimon/exercise-n-step-lookahead", "kernel_id": "22588422"}, {"ref": "nourahmad57/deep-reinforcement-learning", "kernel_id": "23801058"}, {"ref": "martynovandrey/the-fast-mini-max-ii", "kernel_id": "23991178"}, {"ref": "brellsanwouo/exercise-n-step-lookahead", "kernel_id": "23755613"}, {"ref": "brellsanwouo/exercise-deep-reinforcement-learning", "kernel_id": "23756377"}, {"ref": "brellsanwouo/exercise-one-step-lookahead", "kernel_id": "23754862"}, {"ref": "brellsanwouo/brain-rinforcement-learning", "kernel_id": "23754206"}, {"ref": "briansalamone/keras-rl-dqn-connectx", "kernel_id": "23114947"}, {"ref": "alaaalawawdeh/deep-reinforcement-learning", "kernel_id": "23801829"}, {"ref": "chasset/game-ai-and-reinforcement-learning-play-the-game", "kernel_id": "24453458"}, {"ref": "chasset/connectx-getting-started", "kernel_id": "24454612"}, {"ref": "chasset/game-ai-and-reinforcement-learn-one-step-lookahead", "kernel_id": "24455182"}, {"ref": "chasset/game-ai-and-reinforcement-learnin-n-step-lookahead", "kernel_id": "24457169"}, {"ref": "chasset/game-ai-and-reinforcem-deep-reinforcement-learning", "kernel_id": "24458488"}, {"ref": "mohammedbuallay/cell-swarm", "kernel_id": "24536502"}, {"ref": "sgreiner/starter-fork", "kernel_id": "24135981"}, {"ref": "pierretihon/cnn-error-padding", "kernel_id": "24969088"}, {"ref": "lukemahan/exercise-n-step-lookahead", "kernel_id": "24771135"}, {"ref": "lukemahan/exercise-deep-reinforcement-learning", "kernel_id": "24771620"}, {"ref": "dsmeena/competition-rl-with-connectx", "kernel_id": "24024435"}, {"ref": "martynovandrey/the-fast-mini-max-iv", "kernel_id": "24012486"}, {"ref": "lovroselic/connect-4-ls", "kernel_id": "24327730"}, {"ref": "nikitakrasnytskyi/exercise-play-the-game", "kernel_id": "24492441"}, {"ref": "tracyporter/connectx-random", "kernel_id": "25121635"}, {"ref": "tracyporter/connectx-agent-blocker", "kernel_id": "25238689"}, {"ref": "tracyporter/minimax-algorithm-with-alpha-beta-prunning", "kernel_id": "25244573"}, {"ref": "tracyporter/connectx-random-centermost-col", "kernel_id": "25219795"}, {"ref": "tracyporter/connectx-beginner", "kernel_id": "25226989"}, {"ref": "opkaggle123/g-a-r-2-exercise-one-step-lookahead", "kernel_id": "25084561"}, {"ref": "opkaggle123/g-a-r-3-exercise-n-step-lookahead", "kernel_id": "25084656"}, {"ref": "opkaggle123/g-a-r-1-exercise-play-the-game", "kernel_id": "25083527"}, {"ref": "opkaggle123/g-a-r-4-exercise-deep-reinforcement-learning", "kernel_id": "25085732"}, {"ref": "truthhorizon/exercise-one-step-lookahead", "kernel_id": "25817222"}, {"ref": "jamilahfoucher/create-a-connectx-agent", "kernel_id": "25260018"}, {"ref": "dmitrylessy/connectx-minimax-ab-pruning-5-steps", "kernel_id": "25051656"}, {"ref": "pulljosh/connect-4-workshop", "kernel_id": "26089386"}, {"ref": "arti1117/connect-x", "kernel_id": "26063246"}, {"ref": "jiprud/connectx-agent", "kernel_id": "26871701"}, {"ref": "raj401/simple-baseline-connect-x", "kernel_id": "27541923"}, {"ref": "ngfkf1vv5ot6/connectx-alphazero-ab", "kernel_id": "28143582"}, {"ref": "mustafagull/connect-x-actor-critic", "kernel_id": "29301171"}, {"ref": "mayracondorilizarbe/exercise-play-the-game", "kernel_id": "29698030"}, {"ref": "mayracondorilizarbe/exercise-n-step-lookahead", "kernel_id": "29698039"}, {"ref": "mayracondorilizarbe/exercise-one-step-lookahead", "kernel_id": "29698040"}, {"ref": "js2599/002-q-learning-step-by-step-instruction", "kernel_id": "29425615"}, {"ref": "js2599/connectx-5", "kernel_id": "29484333"}, {"ref": "engnoura2/deep-reinforcement-learning", "kernel_id": "29782595"}, {"ref": "engnoura2/n-step-lookahead", "kernel_id": "29782422"}, {"ref": "engnoura2/play-the-game", "kernel_id": "29782258"}, {"ref": "engnoura2/one-step-lookahead", "kernel_id": "29782360"}, {"ref": "davidberghaus/connectx-using-the-deep-crossentropy-method", "kernel_id": "29683461"}, {"ref": "danielmiao1/connectx", "kernel_id": "29184692"}, {"ref": "fernandopomon/exercise-deep-reinforcement-learning", "kernel_id": "29465644"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "khashayarrahimi94/no-ml-just-statistical-analysis", "kernel_id": "30637667"}, {"ref": "dott1718/kdb-workshop", "kernel_id": "31458481"}, {"ref": "gyozzza/handyrl-connectx", "kernel_id": "31038477"}, {"ref": "amyhewitt/exercise-play-the-game", "kernel_id": "31858607"}, {"ref": "amyhewitt/exercise-n-step-lookahead", "kernel_id": "31890547"}, {"ref": "wowthecoder/exercise-deep-reinforcement-learning", "kernel_id": "31993765"}, {"ref": "arunmunagala/exercise-play-the-game", "kernel_id": "31796380"}, {"ref": "syanli/deep-reinforcement-learning", "kernel_id": "33418002"}, {"ref": "perfectnight123/game-ai-and-reinforcement-learning", "kernel_id": "33818958"}, {"ref": "perfectnight123/exercise-n-step-lookahead", "kernel_id": "33642040"}, {"ref": "perfectnight123/exercise-one-step-lookahead", "kernel_id": "33631704"}, {"ref": "perfectnight123/exercise-play-the-game", "kernel_id": "33613735"}, {"ref": "famapa/simulation-game-connect-checkers", "kernel_id": "33753809"}, {"ref": "sanandachowdhury/connect-x", "kernel_id": "33204949"}, {"ref": "percedal/exercise-play-the-game", "kernel_id": "33062779"}, {"ref": "percedal/exercise-one-step-lookahead", "kernel_id": "33064086"}, {"ref": "percedal/exercise-n-step-lookahead", "kernel_id": "33087578"}, {"ref": "petrkushnir/n-step-lookahead-alpha-beta-pruning", "kernel_id": "34937270"}, {"ref": "jaroslavlanger/connect-x-dqn", "kernel_id": "34557959"}, {"ref": "mwaseem75/exercise-deep-reinforcement-learning", "kernel_id": "34592996"}, {"ref": "mwaseem75/exercise-n-step-lookahead", "kernel_id": "34592730"}, {"ref": "mwaseem75/exercise-one-step-lookahead", "kernel_id": "34592373"}, {"ref": "mwaseem75/exercise-play-the-game", "kernel_id": "34591990"}, {"ref": "turabiyldrm/deep-q-learning-with-pytorch-for-connect-x", "kernel_id": "34628939"}, {"ref": "mhnewland/exercise-play-the-game", "kernel_id": "34106928"}, {"ref": "wrinkledtime/conv-deep-q-connectx", "kernel_id": "35990368"}, {"ref": "kennytanner/connect-x-alpha-beta-pruned-lookahead-singularity", "kernel_id": "35547303"}, {"ref": "rajanubhav/exercise-play-the-game", "kernel_id": "35407266"}, {"ref": "kothais/exercise-deep-reinforcement-learning", "kernel_id": "35469144"}, {"ref": "refried/exercise-play-the-game", "kernel_id": "35812268"}, {"ref": "wrinkledtime/actorcritic-connectx", "kernel_id": "36339179"}, {"ref": "tariqbashir/deep-reinforcement-learning", "kernel_id": "36440059"}, {"ref": "wrinkledtime/reinforce-rl", "kernel_id": "37431621"}, {"ref": "wrinkledtime/reinforce-with-critic-rl", "kernel_id": "37476263"}, {"ref": "abdulazizergashev/exercise-play-the-game", "kernel_id": "37027564"}, {"ref": "salmtcat/ppo-vs-a2c-vs-dqn-and-mlppolicy-vs-cnnpolicy", "kernel_id": "37045627"}, {"ref": "rifatmonzurpavel/connectx-with-deep-q-learning-c20995", "kernel_id": "37410170"}, {"ref": "bushrazaheralbusaidi/exercise-play-the-game", "kernel_id": "37399570"}, {"ref": "kheemchandra/exercise-one-step-lookahead", "kernel_id": "37210984"}, {"ref": "kheemchandra/exercise-play-the-game", "kernel_id": "37203821"}, {"ref": "kheemchandra/exercise-n-step-lookahead", "kernel_id": "37216342"}, {"ref": "xiefei/exercise-one-step-lookahead", "kernel_id": "38878220"}, {"ref": "xiefei/exercise-n-step-lookahead", "kernel_id": "38879398"}, {"ref": "xiefei/exercise-deep-reinforcement-learning", "kernel_id": "38880264"}, {"ref": "xiefei/exercise-play-the-game", "kernel_id": "38828475"}, {"ref": "xiefei/one-step-lookahead", "kernel_id": "38811938"}, {"ref": "xiefei/n-step-lookahead", "kernel_id": "38813012"}, {"ref": "xiefei/deep-reinforcement-learning", "kernel_id": "38813673"}, {"ref": "xiefei/play-the-game", "kernel_id": "38716395"}, {"ref": "ylogicmachine/play-the-game", "kernel_id": "38826761"}, {"ref": "miichaaeel/alphazero-connectx", "kernel_id": "38281765"}, {"ref": "jonasreinhardt/connect-x-exploring-reinforcement-learning-1", "kernel_id": "39758208"}, {"ref": "nawatix/alphazero-for-connect-4", "kernel_id": "40890541"}, {"ref": "pelinkeskin/deep-rl-with-stable-baseline3-and-gymnasium-ppo", "kernel_id": "40994410"}, {"ref": "chuongthi/exercise-n-step-lookahead", "kernel_id": "40717596"}, {"ref": "salehzeer/exercise-play-the-game", "kernel_id": "40333109"}, {"ref": "wigglejimmy/connectx-ac", "kernel_id": "40298387"}, {"ref": "wigglejimmy/connectx-q-learning", "kernel_id": "40284669"}, {"ref": "tendaishoko/exercise-play-the-game", "kernel_id": "41830785"}, {"ref": "giriprasad512/connect-x-inference-1", "kernel_id": "41114716"}, {"ref": "juhotuho10/connect-4-predicted-board-improved", "kernel_id": "42262923"}, {"ref": "kautilyakatariya/exercise-n-step-lookahead", "kernel_id": "42623896"}, {"ref": "derrekdevon/random-agent", "kernel_id": "42638533"}, {"ref": "anouartayi/connectx-agent", "kernel_id": "42946454"}, {"ref": "lukaszkorbanek/exercise-deep-reinforcement-learning", "kernel_id": "42909426"}, {"ref": "kenjif/exercise-play-the-game", "kernel_id": "43581968"}, {"ref": "kenjif/exercise-one-step-lookahead", "kernel_id": "43693861"}, {"ref": "chhelp/connectx-getting-started", "kernel_id": "43317337"}, {"ref": "kotataka28/pg-after-9-1", "kernel_id": "43025665"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "rauljorda/heuristic-connect-4-master", "kernel_id": "43140554"}, {"ref": "likitha44/gamebot", "kernel_id": "43874477"}, {"ref": "gopaltheboss/exercise-n-step-lookahead", "kernel_id": "43879556"}, {"ref": "gopaltheboss/exercise-play-the-game", "kernel_id": "43837938"}, {"ref": "gopaltheboss/exercise-one-step-lookahead", "kernel_id": "43845551"}, {"ref": "gopaltheboss/exercise-deep-reinforcement-learning", "kernel_id": "43914983"}, {"ref": "mnku2407/exercise-play-the-game", "kernel_id": "44688003"}, {"ref": "chhelp/exercise-play-the-game", "kernel_id": "45635724"}, {"ref": "marcpaulo/numpy-n-stepsla", "kernel_id": "46988624"}, {"ref": "indraneeldey/minimax-optimized-with-alpha-beta-pruning", "kernel_id": "46131515"}, {"ref": "yassintalssis/reinforcement-learning-chess-3-q-networks", "kernel_id": "46644199"}, {"ref": "chungchenjohnran/exercise-deep-reinforcement-learning", "kernel_id": "46773098"}, {"ref": "polifemus/gentle-introduction-to-q-learning", "kernel_id": "47843063"}, {"ref": "syedjarullahhisham/connectx-deep-rl-minimax-combined-side-by-side", "kernel_id": "47978645"}, {"ref": "muhammadwaqiazizi/exercise-play-the-game", "kernel_id": "47184357"}, {"ref": "chhelp/exercise-one-step-lookahead", "kernel_id": "47139145"}, {"ref": "chhelp/exercise-n-step-lookahead", "kernel_id": "47139403"}, {"ref": "chhelp/exercise-deep-reinforcement-learning", "kernel_id": "47139585"}, {"ref": "cvclark/connect-x-n-steps", "kernel_id": "47808407"}, {"ref": "arunodhayan/connectx-multi-agent-reinforcement-learning", "kernel_id": "48256179"}, {"ref": "svendaj/connect-x-exercise-deep-rl-submission", "kernel_id": "48324643"}, {"ref": "syedjarullahhisham/connectx-n-step-lookahead-minimax", "kernel_id": "48783401"}, {"ref": "larjeck/cell-swarm6", "kernel_id": "48910835"}, {"ref": "muhammadwaqiazizi/exercise-n-step-lookahead", "kernel_id": "48989685"}, {"ref": "muhammadwaqiazizi/exercise-deep-reinforcement-learning", "kernel_id": "48989707"}, {"ref": "bromotdi/exercise-play-the-game", "kernel_id": "48965951"}, {"ref": "mohamedelnashar/connect-four-play-the-game", "kernel_id": "49467454"}, {"ref": "avishekrauniyar/connect-four-game", "kernel_id": "49452696"}, {"ref": "bromotdi/exercise-deep-reinforcement-learning", "kernel_id": "49211277"}, {"ref": "bromotdi/exercise-n-step-lookahead", "kernel_id": "49162464"}, {"ref": "bromotdi/exercise-one-step-lookahead", "kernel_id": "49161250"}, {"ref": "svendaj/deep-rl-with-sb3-and-gymnasium-multithreaded", "kernel_id": "50711116"}, {"ref": "aaryanduggal/fork-of-connect-x", "kernel_id": "50811442"}, {"ref": "emilymarieahtnan/exercise-one-step-lookahead", "kernel_id": "50755491"}, {"ref": "samranahmed/cell-swarm6", "kernel_id": "50074142"}, {"ref": "adrianorampoldi/deep-reinforcement-learning-forza-4", "kernel_id": "50524035"}, {"ref": "ishanmathurkaggle28/basic-exercise", "kernel_id": "50948778"}, {"ref": "tarndeepsingh16/connect-x", "kernel_id": "50701637"}, {"ref": "minecraftnerd/activity-kaggle", "kernel_id": "50886564"}, {"ref": "minecraftnerd/look-one-step-ahead-step-2", "kernel_id": "50886911"}, {"ref": "atanumondal01/notebook60adc4bbe3", "kernel_id": "51406250"}, {"ref": "amirmohammadparvizi/agents-connect-x", "kernel_id": "51632130"}, {"ref": "shivamvermathapar/connectx", "kernel_id": "51020109"}, {"ref": "underdawg32/notebookbd2c3b1c09", "kernel_id": "52413929"}, {"ref": "klausfreitag/connectx-freitag-2110859005", "kernel_id": "52187924"}, {"ref": "fhbmarcon/connectx-getting-started", "kernel_id": "52601300"}, {"ref": "lukasproksch/project-connectx", "kernel_id": "52602305"}, {"ref": "lukasproksch/exercise-play-the-game", "kernel_id": "52120722"}, {"ref": "minecraftnerd/one-step-lookahead", "kernel_id": "52664398"}, {"ref": "zakmalik9/exercise-n-step-lookahead", "kernel_id": "52313246"}, {"ref": "erminalic1/connectx-bswe", "kernel_id": "52862964"}, {"ref": "svendaj/connect-x-exercise-deep-rl-submission-v1", "kernel_id": "53557691"}, {"ref": "rvadim/public-dfs-heuristic", "kernel_id": "53134925"}, {"ref": "yosefibrahim/exercise-deep-reinforcement-learning", "kernel_id": "53253823"}, {"ref": "maximilianolzinger/connectx-getting-started", "kernel_id": "53469288"}, {"ref": "sofrooo/exercise-deep-reinforcement-learning", "kernel_id": "53157178"}, {"ref": "christopherwildzeisz/connectx-wildzeisz-christopher", "kernel_id": "53281327"}, {"ref": "thomasforjan/connect-x-kaggle-competition-rl-h", "kernel_id": "53288359"}, {"ref": "jfeichtinger/connectx-getting-started", "kernel_id": "53284307"}, {"ref": "elishajanebalagulan/minimax-algorithm-in-connect-x", "kernel_id": "54772546"}, {"ref": "anikabasu/anika-basu-connect-4-ai-club-activity", "kernel_id": "54534185"}, {"ref": "mohamedayman12/alphaconnectx", "kernel_id": "54362364"}, {"ref": "samanvaysiddharth/connectx101", "kernel_id": "54819870"}, {"ref": "sivaprasanths/deep-reinforcement-learning", "kernel_id": "54972681"}, {"ref": "marekgp/exercise-n-step-lookahead", "kernel_id": "55811535"}, {"ref": "hadriencr/connectx-tree-searches-1200-elo", "kernel_id": "55263080"}, {"ref": "shadesh/connect-x", "kernel_id": "55225656"}, {"ref": "anikabasu/anika-basu-look-one-step-ahead", "kernel_id": "55240405"}, {"ref": "kyawswarhein/deep-rl-with-stable-baseline3-and-gymnasium-ppo", "kernel_id": "55006127"}, {"ref": "yusufhanerbas/exercise-play-the-game", "kernel_id": "56700103"}, {"ref": "namratapatel05/dqn-connect-x", "kernel_id": "56209081"}, {"ref": "anhhkiu/exercise-connect-x-play-the-game", "kernel_id": "57009139"}, {"ref": "shenoudasafwat/connect-xx", "kernel_id": "57374042"}, {"ref": "nickmacd/connectx-a2c-from-scratch-with-pytorch", "kernel_id": "60756692"}, {"ref": "deveshkumargola/exercise-one-step-lookahead", "kernel_id": "60665565"}, {"ref": "deveshkumargola/exercise-n-step-lookahead", "kernel_id": "60665643"}, {"ref": "deveshkumargola/exercise-deep-reinforcement-learning", "kernel_id": "60665710"}, {"ref": "mohdzia356/exercise-n-step-lookahead", "kernel_id": "60967615"}, {"ref": "jvthunder/connect-4-ai-agent-making", "kernel_id": "61676715"}, {"ref": "yunsuxiaozi/connect-x-beginner-lb-550", "kernel_id": "61967839"}, {"ref": "xinawang/week-1-2-hw-agents-and-environments", "kernel_id": "61518057"}, {"ref": "yunsuxiaozi/connect-x-ppo-algorithm-starter", "kernel_id": "62123655"}, {"ref": "nickmacd/ppo-using-sb3", "kernel_id": "62557590"}, {"ref": "sccollection/submission-high-accuracy", "kernel_id": "63340903"}, {"ref": "aditimundra/connect-4-agent", "kernel_id": "64541997"}, {"ref": "srijakatru/deep-reinforcement-learning", "kernel_id": "64644098"}, {"ref": "difallahhadjar/connect-x-using-monte-carlo-tree-search", "kernel_id": "64394984"}, {"ref": "guzefeng/connect-x", "kernel_id": "64892585"}, {"ref": "omikad/connectx-with-probs", "kernel_id": "65429085"}, {"ref": "viroopaksh/connectfour-primary-code", "kernel_id": "65401389"}, {"ref": "stemosamaghandour/exercise-play-the-game", "kernel_id": "65351306"}, {"ref": "leandroesvael/exercise-play-the-game", "kernel_id": "65016427"}, {"ref": "bebobob/connect-x-ppo-algorithm-starter", "kernel_id": "65608897"}, {"ref": "ismetsemedov/connect-x", "kernel_id": "66080117"}, {"ref": "recepbattal/exercise-n-step-lookahead", "kernel_id": "66821808"}, {"ref": "noahyn/exercise-play-the-game", "kernel_id": "67880118"}, {"ref": "moribin/exercise-play-the-game", "kernel_id": "67071318"}, {"ref": "jrberganzaunis/exercise-one-step-lookahead", "kernel_id": "68454619"}, {"ref": "jrberganzaunis/exercise-play-the-game", "kernel_id": "68453126"}, {"ref": "jrberganzaunis/exercise-deep-reinforcement-learning", "kernel_id": "68456938"}, {"ref": "jrberganzaunis/exercise-n-step-lookahead", "kernel_id": "68455700"}, {"ref": "haoyou2024/notebookb175331dc9", "kernel_id": "68448063"}, {"ref": "agebhard/gs-deliverable1-ai-prioritize-center", "kernel_id": "68742702"}, {"ref": "agebhard/notebookbad73fbeaa", "kernel_id": "68600953"}, {"ref": "agebhard/notebook1fec54a448", "kernel_id": "68594216"}, {"ref": "lucasply/project2-test", "kernel_id": "69876794"}, {"ref": "joeprogram/exercise-one-step-lookahead", "kernel_id": "70958214"}, {"ref": "joeprogram/exercise-play-the-game", "kernel_id": "70934756"}, {"ref": "octahedronbb/exercise-n-step-lookahead", "kernel_id": "70433719"}, {"ref": "ka1242/connectx-minimax", "kernel_id": "71508980"}, {"ref": "joeprogram/exercise-deep-reinforcement-learning", "kernel_id": "71473500"}, {"ref": "joeprogram/exercise-n-step-lookahead", "kernel_id": "71182070"}, {"ref": "t8101349/connect-x", "kernel_id": "71303651"}, {"ref": "micael95/connect-x-with-double-q-learning", "kernel_id": "71685794"}, {"ref": "stevesiddu/connectx-getting-started", "kernel_id": "72057658"}, {"ref": "pranitdilipmenkar/connect-x-using-actorcritic", "kernel_id": "72957057"}, {"ref": "t8101349/connect-x-rl-model", "kernel_id": "72267411"}, {"ref": "andrewcalcutt/connectx-agent-1200-rating", "kernel_id": "72528625"}, {"ref": "joaovitoroliveiradev/notebook912443c458", "kernel_id": "72768387"}, {"ref": "mithunpiriyan/x-connect", "kernel_id": "73715882"}, {"ref": "rauf111/3rd-try", "kernel_id": "73212036"}, {"ref": "marcelofrayha/connectx-minimax-strategy", "kernel_id": "73049413"}, {"ref": "raahimrizwan/exercise-play-the-game", "kernel_id": "74157258"}, {"ref": "drumilkotecha/play-the-game-first-commit", "kernel_id": "74748709"}, {"ref": "samarthpujari/connectx-competition-1", "kernel_id": "74260981"}, {"ref": "samarthpujari/connectx-competition", "kernel_id": "74259693"}, {"ref": "funkeymonkey/exercise-deep-reinforcement-learning", "kernel_id": "75257142"}, {"ref": "funkeymonkey/exercise-n-step-lookahead", "kernel_id": "75256371"}, {"ref": "funkeymonkey/exercise-one-step-lookahead", "kernel_id": "75255175"}, {"ref": "funkeymonkey/exercise-play-the-game", "kernel_id": "75253456"}, {"ref": "alexkalita/n-step-lookahead-minimax-agent-visualization", "kernel_id": "76013578"}, {"ref": "jasmainekhale/connectx-game", "kernel_id": "76344491"}, {"ref": "seifyasserahmed/exercise-n-step-lookahead", "kernel_id": "76343723"}, {"ref": "seifyasserahmed/exercise-play-the-game", "kernel_id": "76323644"}, {"ref": "seifyasserahmed/exercise-one-step-lookahead", "kernel_id": "76328059"}, {"ref": "haoyuliao14116/exercise-one-step-lookahead", "kernel_id": "76099861"}, {"ref": "haoyuliao14116/exercise-play-the-game", "kernel_id": "76094629"}, {"ref": "haoyuliao14116/exercise-n-step-lookahead", "kernel_id": "76121912"}, {"ref": "jasmainekhale/connectx-double-q-learning", "kernel_id": "77549887"}, {"ref": "chuk1123/connectx-getting-started", "kernel_id": "79252664"}, {"ref": "nvnhat04/connect4", "kernel_id": "79812887"}, {"ref": "llvarsll/connect-x-with-800-rating-feat-vars", "kernel_id": "79508629"}, {"ref": "dhaneshbb/exercise-play-the-game", "kernel_id": "80330819"}, {"ref": "dhaneshbb/exercise-one-step-lookahead", "kernel_id": "80330820"}, {"ref": "dhaneshbb/exercise-n-step-lookahead", "kernel_id": "80330821"}, {"ref": "dhaneshbb/exercise-deep-reinforcement-learning", "kernel_id": "80330825"}, {"ref": "yaquiramos/exercise-play-the-game", "kernel_id": "80997273"}, {"ref": "masashiyamada/notebook94035595aa", "kernel_id": "81892515"}, {"ref": "yaquiramos/exercise-one-step-lookahead", "kernel_id": "81128682"}, {"ref": "yaquiramos/exercise-deep-reinforcement-learning", "kernel_id": "81190890"}, {"ref": "michaelmichaels/exercise-deep-reinforcement-learning", "kernel_id": "81642665"}, {"ref": "gianlucarapaglia/exercise-play-the-game", "kernel_id": "81177743"}, {"ref": "haronkipkosgei/exercise-play-the-game", "kernel_id": "81152332"}, {"ref": "nina2025/agent-one-line-of-code", "kernel_id": "82407696"}, {"ref": "sisifeb/sisi-ex4", "kernel_id": "83892421"}, {"ref": "zerol0l/connectx", "kernel_id": "83053033"}, {"ref": "chandnipadia/exercise-play-the-game", "kernel_id": "83517602"}, {"ref": "chandnipadia/exercise-n-step-lookahead", "kernel_id": "83520999"}, {"ref": "mahdikratos/submission-tar-gz", "kernel_id": "83340300"}, {"ref": "martial/deep-reinforcement-learning", "kernel_id": "84760160"}, {"ref": "ishitabahamnia/exercise-play-the-game", "kernel_id": "84856482"}, {"ref": "nina2025/agent-3x3-one-line-of-code-vs-negamax", "kernel_id": "84041235"}, {"ref": "masashiyamada/notebook0a585ed4c2", "kernel_id": "85018743"}, {"ref": "neshumaev/connectx-with-q-learning", "kernel_id": "85670687"}, {"ref": "akhileshmondi/exercise-play-the-game", "kernel_id": "85946013"}, {"ref": "rahuljaisy/alphazero-self-play-reinforcement-agent", "kernel_id": "86063062"}, {"ref": "faizankhandeshmukh/exercise-deep-reinforcement-learning", "kernel_id": "86729442"}, {"ref": "faizankhandeshmukh/exercise-n-step-lookahead", "kernel_id": "86727673"}, {"ref": "faizankhandeshmukh/exercise-one-step-lookahead", "kernel_id": "86638872"}, {"ref": "faizankhandeshmukh/exercise-play-the-game", "kernel_id": "86365992"}, {"ref": "vartikajain0019/exercise-n-step-lookahead", "kernel_id": "86488942"}, {"ref": "nina2025/alphazero-self-play-reinforcement-agent-copy", "kernel_id": "87410927"}, {"ref": "abdulrehmanchatha/deep-reinforcement-learning", "kernel_id": "88600577"}, {"ref": "abdulrehmanchatha/one-step-lookahead", "kernel_id": "88465265"}, {"ref": "abdulrehmanchatha/n-step-lookahead", "kernel_id": "88523579"}, {"ref": "abdulrehmanchatha/play-the-game", "kernel_id": "88400370"}, {"ref": "hmnshudhmn24/exercise-play-the-game", "kernel_id": "88549777"}, {"ref": "hmnshudhmn24/exercise-one-step-lookahead", "kernel_id": "88550116"}, {"ref": "hmnshudhmn24/exercise-n-step-lookahead", "kernel_id": "88550400"}, {"ref": "antonglushko1/win-or-death", "kernel_id": "89039663"}, {"ref": "wasiqaliyasir/exercise-play-the-game-to-submit-agent", "kernel_id": "89051584"}, {"ref": "suhailab/connector-x-agent", "kernel_id": "91732403"}, {"ref": "ishitabahamnia/connectx-notebook1909a3f648", "kernel_id": "93658059"}, {"ref": "jeffborschowa/connector-x-agent", "kernel_id": "93379103"}, {"ref": "nocarbonintelligence/connect-x-negamax", "kernel_id": "94530349"}, {"ref": "nocarbonintelligence/connect-x-rl", "kernel_id": "94528012"}, {"ref": "dedquoc/connect-x-heuristic", "kernel_id": "95218369"}, {"ref": "lakhindarpal/connectx-simulation-agent", "kernel_id": "95034633"}, {"ref": "priyagedam/exercise-play-the-game", "kernel_id": "95605822"}, {"ref": "jsarathsanjay/exercise-play-the-game", "kernel_id": "95579635"}, {"ref": "lovroselic/connect-4-ls-fast-la-bitboard-op-book-par", "kernel_id": "96187324"}, {"ref": "leehyunji1208/2-exercise-one-step-lookahead", "kernel_id": "98112135"}, {"ref": "leehyunji1208/1-exercise-play-the-game", "kernel_id": "98110670"}, {"ref": "leehyunji1208/3-exercise-n-step-lookahead", "kernel_id": "98112506"}, {"ref": "leehyunji1208/4-exercise-deep-reinforcement-learning", "kernel_id": "98114378"}, {"ref": "reginaldoadasilva/exercise-play-the-game", "kernel_id": "98609920"}, {"ref": "umashankarkanaujiya/exercise-play-the-game", "kernel_id": "98959156"}, {"ref": "nagarajujj/exercise-play-the-game", "kernel_id": "99036088"}, {"ref": "leehyunji1208/2-4-exercise-deep-reinforcement-learning", "kernel_id": "100126294"}, {"ref": "leehyunji1208/2-4-exercise-deep-reinforcemene", "kernel_id": "100649988"}, {"ref": "wherethedataat/exercise-play-the-game", "kernel_id": "100457726"}, {"ref": "hithamohana/exercise-play-the-game", "kernel_id": "100542257"}, {"ref": "hithamohana/create-a-connectx-agent", "kernel_id": "100542867"}, {"ref": "hithamohana/exercise-one-step-lookahead", "kernel_id": "100543210"}, {"ref": "hithamohana/exercise-n-step-lookahead", "kernel_id": "100543360"}, {"ref": "hithamohana/exercise-deep-reinforcement-learning", "kernel_id": "100543496"}, {"ref": "chsggg/exercise-play-the-game", "kernel_id": "102457954"}, {"ref": "liamarden/connectxbot", "kernel_id": "102032790"}, {"ref": "entsarmagdey/tutorial-connectx-minimax-pruning", "kernel_id": "103068253"}, {"ref": "ankushnarwade/connectx-agent-using-q-learning-dqn", "kernel_id": "103294451"}, {"ref": "ethanrivera1/connectxbot", "kernel_id": "103008927"}, {"ref": "mariamibrahim6/tutorial-connectx-minimax-pruning", "kernel_id": "103097472"}, {"ref": "eman20saber/tutorial-connectx-minimax-pruning", "kernel_id": "103300031"}, {"ref": "hosseinbadrnezhad/connect-x-random-agent", "kernel_id": "105523635"}, {"ref": "wrinkledtime/test-random-connectx-agent", "kernel_id": "106912462"}, {"ref": "wrinkledtime/greedy-connectx-agent", "kernel_id": "106913940"}, {"ref": "chakrabhuanavdeva/connectzero-nakaliphitecus-1-5m", "kernel_id": "106679767"}, {"ref": "gerryweber/dueling-double-dqn-connectx", "kernel_id": "106648529"}, {"ref": "alexxxxxxa/create-a-connectx-agent", "kernel_id": "106900800"}, {"ref": "mahirsalahin/connect-x", "kernel_id": "106634469"}, {"ref": "personacarved/notebook8ea04f0b79", "kernel_id": "106601199"}, {"ref": "lakhindarpal/connectx-agent-reinforcement-learning", "kernel_id": "107340704"}, {"ref": "avikdas567/connect-x", "kernel_id": "107139701"}, {"ref": "wasiqaliyasir/exercise-one-step-lookahead", "kernel_id": "107851292"}, {"ref": "singhaniyasarthak/exercise-deep-reinforcement-learning", "kernel_id": "108313349"}, {"ref": "singhaniyasarthak/exercise-n-step-lookahead", "kernel_id": "108224216"}, {"ref": "singhaniyasarthak/exercise-one-step-lookahead", "kernel_id": "108152281"}, {"ref": "singhaniyasarthak/exercise-play-the-game", "kernel_id": "108044141"}, {"ref": "bipuladk60/bipul-adhikari-10171505-one-step-lockhead", "kernel_id": "110287661"}, {"ref": "jonathanharrison1/exercise-deep-reinforcement-learning", "kernel_id": "110696779"}, {"ref": "jonathanharrison1/exercise-play-the-game", "kernel_id": "110217203"}, {"ref": "mohankrishnathalla/connect-x", "kernel_id": "110637516"}, {"ref": "nguyendunn/connectx", "kernel_id": "110858016"}, {"ref": "neudheh/exercise-n-step-lookahead", "kernel_id": "110763190"}, {"ref": "neudheh/exercise-one-step-lookahead", "kernel_id": "110762969"}, {"ref": "neudheh/exercise-deep-reinforcement-learning", "kernel_id": "110763756"}, {"ref": "neudheh/exercise-play-the-game", "kernel_id": "110762085"}, {"ref": "ameythakur20/connectx-minimax-alpha-beta-agent", "kernel_id": "111370824"}, {"ref": "kemaldemirba/neural-decision-matrix", "kernel_id": "112400571"}, {"ref": "mohankrishnathalla/exercise-play-the-game", "kernel_id": "114068657"}, {"ref": "mohankrishnathalla/exercise-one-step-lookahead", "kernel_id": "114068872"}, {"ref": "mohankrishnathalla/exercise-n-step-lookahead", "kernel_id": "114068994"}, {"ref": "mohankrishnathalla/exercise-deep-reinforcement-learning", "kernel_id": "114069095"}, {"ref": "sohaibdevv/connect-x-basic-random-agent", "kernel_id": "115349957"}, {"ref": "t8101349/connect-x-ppo-self-play", "kernel_id": "116773733"}, {"ref": "akzhankalimatov/exercise-play-the-game", "kernel_id": "116865493"}, {"ref": "arezkimatougui/connectxqt", "kernel_id": "116348999"}, {"ref": "amatteurrwave/exercise-play-the-game", "kernel_id": "117276156"}, {"ref": "bunnoob2005/agent-q-learning", "kernel_id": "117985648"}, {"ref": "akzhankalimatov/exercise-n-step-lookahead", "kernel_id": "117084247"}, {"ref": "akzhankalimatov/exercise-one-step-lookahead", "kernel_id": "117084059"}, {"ref": "bunnoob2005/alpha-zero", "kernel_id": "118098828"}, {"ref": "alfredolau/connectx-agent", "kernel_id": "118892498"}, {"ref": "jek1wantaufik/connectx-minimax-alphabeta-agent", "kernel_id": "118477580"}, {"ref": "rastislavkollr/dm26-drl-project", "kernel_id": "118372330"}, {"ref": "avazaku/simple-minimax-alpha-beta-move-ordering-connectx", "kernel_id": "118949754"}, {"ref": "baisnabirout/exercise-one-step-lookahead", "kernel_id": "120056203"}, {"ref": "baisnabirout/exercise-play-the-game", "kernel_id": "120053756"}, {"ref": "baisnabirout/exercise-n-step-lookahead", "kernel_id": "120118914"}, {"ref": "exelero/v1-cell-swarm-starter", "kernel_id": "120101542"}, {"ref": "evgendvorkin/agentv1-600", "kernel_id": "120751417"}, {"ref": "sarveshchhetri/exercise-play-the-game", "kernel_id": "120968345"}, {"ref": "floriankoehl/dm26-drl-project", "kernel_id": "120757190"}, {"ref": "benjaminqinglinxie/wondertrash-connectx-main", "kernel_id": "120288473"}, {"ref": "arturvolkov67/dm26-drl-project", "kernel_id": "120855451"}, {"ref": "tylerasresearcher/exercise-minimax-with-deep-reinforcement-learning", "kernel_id": "121887694"}, {"ref": "wasiqaliyasir/exercise-n-step-lookahead", "kernel_id": "122782258"}, {"ref": "wasiqaliyasir/exercise-deep-reinforcement-learning", "kernel_id": "122783090"}, {"ref": "howardcui1/notebook813e51e050", "kernel_id": "122796652"}, {"ref": "shorooghahmadi/exercise-play-the-game", "kernel_id": "122834799"}, {"ref": "daniellemm/connectx-agent", "kernel_id": "123067481"}, {"ref": "viviennekam/vivienne-s-notebook", "kernel_id": "123811188"}, {"ref": "lyric121/notebook2714bc13af", "kernel_id": "124581005"}, {"ref": "oiercosmos/connectx-dqn", "kernel_id": "125289558"}, {"ref": "syedshaanhusain/vibe-coding-simulation", "kernel_id": "125658357"}, {"ref": "muneeb2405/rl-lesson-1-connect-x", "kernel_id": "128405504"}, {"ref": "muneeb2405/rl-lesson-4-dqn-self-play", "kernel_id": "128521348"}, {"ref": "muneeb2405/connectx-minimax-agent", "kernel_id": "128472246"}, {"ref": "suvahar/exercise-play-the-game", "kernel_id": "128492877"}, {"ref": "saitejabandaruin/connectx-minimax-grandmaster-agent", "kernel_id": "128633324"}, {"ref": "muneeb2405/rl-lesson-5-opponent-pool-convnet", "kernel_id": "129521352"}, {"ref": "muneeb2405/rl-lesson-6-search-over-learned-eval", "kernel_id": "129566391"}, {"ref": "muneeb2405/rl-lesson-7-mcts-self-play-alphazero", "kernel_id": "129701787"}, {"ref": "muneeb2405/rl-lesson-8-tree-reuse-and-gating", "kernel_id": "129769463"}, {"ref": "muneeb2405/rl-lesson-9-gate-fix-and-resignation", "kernel_id": "129834167"}, {"ref": "muneeb2405/connect-x-lesson-10-bitboard-alpha-beta-solver", "kernel_id": "129936407"}, {"ref": "sdeogade/connectx-dqn", "kernel_id": "129313726"}, {"ref": "teisnestech/notebookc77b4dcb46", "kernel_id": "129150786"}, {"ref": "archiechauhan/exercise-one-step-lookahead", "kernel_id": "129269688"}, {"ref": "vincenthwq/connectx-alpha-beta-agent", "kernel_id": "130826574"}, {"ref": "arseniyshutko/titanic-catboost-classification", "kernel_id": "131830031"}, {"ref": "dedquoc/connect-x-alpha-beta-minimax-agent-live-analytic", "kernel_id": "133700068"}, {"ref": "datascikhan/connectx-alpha-beta-minimax-agent", "kernel_id": "134851745"}]}
{"competition_id": "17593", "kernels": [{"ref": "kennethid/how-to-display-model-predictions", "kernel_id": "6971387"}]}
{"competition_id": "17596", "kernels": []}
{"competition_id": "17597", "kernels": []}
{"competition_id": "17599", "kernels": []}
{"competition_id": "17600", "kernels": []}
{"competition_id": "17601", "kernels": []}
{"competition_id": "17623", "kernels": []}
{"competition_id": "17628", "kernels": [{"ref": "bobazooba/neuro-baseline", "kernel_id": "6784254"}, {"ref": "bobazooba/lstm-and-cnn-for-nlp-task", "kernel_id": "6784519"}, {"ref": "bobazooba/attention-from-scratch", "kernel_id": "6784599"}, {"ref": "bobazooba/welcome-kernel", "kernel_id": "6784113"}]}
{"competition_id": "17635", "kernels": []}
{"competition_id": "17636", "kernels": []}
{"competition_id": "17639", "kernels": []}
{"competition_id": "17640", "kernels": []}
{"competition_id": "17644", "kernels": []}
{"competition_id": "17649", "kernels": []}
{"competition_id": "17660", "kernels": [{"ref": "davidalford/kenyan-food-13", "kernel_id": "10600652"}, {"ref": "silviudr/project2", "kernel_id": "11373729"}, {"ref": "bastilocke/project2-sb-2020", "kernel_id": "12686235"}, {"ref": "dnyandeobharambe/project2-classification", "kernel_id": "14295991"}]}
{"competition_id": "17674", "kernels": [{"ref": "raquibsiddiqui/qaz-kaggle", "kernel_id": "9011724"}]}
{"competition_id": "17681", "kernels": []}
{"competition_id": "17683", "kernels": []}
{"competition_id": "17684", "kernels": []}
{"competition_id": "17687", "kernels": []}
{"competition_id": "17689", "kernels": []}
{"competition_id": "17691", "kernels": []}
{"competition_id": "17692", "kernels": []}
{"competition_id": "17699", "kernels": []}
{"competition_id": "17702", "kernels": []}
{"competition_id": "17703", "kernels": []}
{"competition_id": "17705", "kernels": []}
{"competition_id": "17715", "kernels": []}
{"competition_id": "17719", "kernels": []}
{"competition_id": "17720", "kernels": []}
{"competition_id": "17722", "kernels": []}
{"competition_id": "17723", "kernels": []}
{"competition_id": "17724", "kernels": []}
{"competition_id": "17725", "kernels": []}
{"competition_id": "17729", "kernels": []}
{"competition_id": "17739", "kernels": []}
{"competition_id": "17742", "kernels": []}
{"competition_id": "17743", "kernels": []}
{"competition_id": "17744", "kernels": [{"ref": "nicolas318/iap202", "kernel_id": "6852230"}]}
{"competition_id": "17746", "kernels": []}
{"competition_id": "17751", "kernels": []}
{"competition_id": "17754", "kernels": []}
{"competition_id": "17756", "kernels": [{"ref": "aabhichaudhary/notebook34ae68ba88", "kernel_id": "30081607"}]}
{"competition_id": "17760", "kernels": [{"ref": "purelyvivid/sample-code", "kernel_id": "6996280"}]}
{"competition_id": "17762", "kernels": []}
{"competition_id": "17764", "kernels": [{"ref": "yuankang731/wine-classification", "kernel_id": "14766204"}, {"ref": "iinaam/growing-a-random-forest-from-scratch-acc-96", "kernel_id": "15150887"}, {"ref": "rahulkumar260902/wine-class-prediction", "kernel_id": "21012060"}, {"ref": "hardikjainn/wine-classification-98-accuracy", "kernel_id": "21011596"}, {"ref": "davicoutinho/wine-classification-98-accuracy", "kernel_id": "32643892"}]}
{"competition_id": "17773", "kernels": []}
{"competition_id": "17775", "kernels": []}
{"competition_id": "17777", "kernels": [{"ref": "pavansanagapati/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "1908308"}, {"ref": "apoorvyadav/disaster-tweet-validation", "kernel_id": "1210057"}, {"ref": "faressayah/natural-language-processing-nlp-for-beginners", "kernel_id": "6127394"}, {"ref": "dremovd/micro-challenge-vectorizers", "kernel_id": "7697684"}, {"ref": "leadbest/lightgbm4disastertweets", "kernel_id": "7205323"}, {"ref": "streamride/eda-twitter-disaster", "kernel_id": "7237638"}, {"ref": "prachichitnis/stack-tfidf-embedding-xgboost", "kernel_id": "7969428"}, {"ref": "philculliton/automlwrapper", "kernel_id": "7102015"}, {"ref": "philculliton/nlp-getting-started-tutorial", "kernel_id": "7115255"}, {"ref": "mkos/lsa-lda-naive-bayes-ensemble", "kernel_id": "7199561"}, {"ref": "aliakbars/eda-with-altair-umap-finding-important-keywords", "kernel_id": "7221185"}, {"ref": "sriramanathan/simple-exploratory-notebook", "kernel_id": "7354938"}, {"ref": "alosat/twitter-categorization", "kernel_id": "7353670"}, {"ref": "sreejiths0/efficient-tweet-preprocessing", "kernel_id": "7333312"}, {"ref": "jarbol/ron-tf-idf-logr-24s-to-0-79", "kernel_id": "7217766"}, {"ref": "gibrano/disaster-universal-sentences-encoder-svm", "kernel_id": "7748772"}, {"ref": "kumaresanmanickavelu/fasttext-based-disaster-tweets-classifier", "kernel_id": "7347326"}, {"ref": "sukumarburra/real-or-not-using-svc-gaussiannb-linear", "kernel_id": "7333569"}, {"ref": "priteshjain/eda-cleaning-and-lstm-model-with-no-pre-training", "kernel_id": "7926863"}, {"ref": "pavanalluri/disaster-tweets-naive-bayes-ovr-and-xgboost", "kernel_id": "7924002"}, {"ref": "solpaul/ulmfit-using-fastai-library", "kernel_id": "7346901"}, {"ref": "strifonov/very-basic-eda", "kernel_id": "7605698"}, {"ref": "anandsingh1011/nlp-exploring-disaster-tweets", "kernel_id": "7195639"}, {"ref": "saipkb86/disaster-tweets-logistic-naive", "kernel_id": "7204618"}, {"ref": "ankittomar1/classification-disaster-tweets", "kernel_id": "7334261"}, {"ref": "nulldata/nlp-on-disaster-tweets-eda-and-baseline-models", "kernel_id": "7200693"}, {"ref": "aksinghal/edaandcleanup", "kernel_id": "7949482"}, {"ref": "aksinghal/bowandnbsvm", "kernel_id": "7949543"}, {"ref": "parulpandey/getting-started-with-nlp-feature-vectors", "kernel_id": "7911374"}, {"ref": "parulpandey/useful-python-libraries-for-data-science", "kernel_id": "7838924"}, {"ref": "parulpandey/getting-started-with-nlp-a-general-intro", "kernel_id": "7694986"}, {"ref": "parulpandey/what-s-new-in-pandas-1-0-0", "kernel_id": "7337421"}, {"ref": "vybhavk/identifying-the-fake-news-with-automl", "kernel_id": "7866373"}, {"ref": "gauravkjain/comprehensive-eda-and-patterns", "kernel_id": "7692772"}, {"ref": "rahulvks/text-rank-sub-keyword-analysis-nlu", "kernel_id": "7993048"}, {"ref": "kingyiusuen/nlp-with-disaster-tweets", "kernel_id": "7301778"}, {"ref": "ramanalytics1/kernel791d450e48", "kernel_id": "7205564"}, {"ref": "rajeevsingh717/disaster-tweets-yes-no", "kernel_id": "7230236"}, {"ref": "avinashtum/distilbert-keyword-embedding-classifier", "kernel_id": "7422573"}, {"ref": "avinashtum/transformers-bert-all-you-need", "kernel_id": "7323855"}, {"ref": "mattut/kernel7e0a8ce675", "kernel_id": "7879297"}, {"ref": "hisudha/real-disastertweets-v0", "kernel_id": "7865365"}, {"ref": "amarpandey/real-or-not-nlp-with-disaster-tweets", "kernel_id": "7212747"}, {"ref": "akazuko/nlp-disaster-tweets-1", "kernel_id": "7544802"}, {"ref": "athews/disaster-tweet-prediction-bert", "kernel_id": "7480563"}, {"ref": "athews/disaster-tweets-pred-automl-tf-lstm-lightgbm", "kernel_id": "7207018"}, {"ref": "athews/start-from-here-tweets-eda", "kernel_id": "7300881"}, {"ref": "thoolihan/explore-the-data", "kernel_id": "7471140"}, {"ref": "thakursc1/attending-to-disaster", "kernel_id": "7963147"}, {"ref": "rexhaif/roberta-based-approach", "kernel_id": "7484390"}, {"ref": "catris25/basic-ml-classification-tutorial-nlp-for-disaster", "kernel_id": "7221937"}, {"ref": "catris25/simple-classification-svm", "kernel_id": "7334754"}, {"ref": "prashantsaikia/starter-notebook-logistic-regression", "kernel_id": "7193156"}, {"ref": "code1110/disaster-tweets-roberta-with-fastai", "kernel_id": "7232650"}, {"ref": "swarnabha/pytorch-text-classification-torchtext-lstm", "kernel_id": "7578744"}, {"ref": "lasmith/basic-nlp-using-spacy", "kernel_id": "7378385"}, {"ref": "denychaen/tweets-simple-baseline-tfembed-lgbm-hp", "kernel_id": "7232357"}, {"ref": "abirpattnaik/nlp-disaster-tweets-analysis", "kernel_id": "7986653"}, {"ref": "errearanhas/very-brief-eda-with-plotly", "kernel_id": "7853127"}, {"ref": "edumunozsala/introduction-to-nlp-with-fastai", "kernel_id": "7266762"}, {"ref": "barun2104/nlp-with-disaster-eda-dfm-svd-ensemble", "kernel_id": "7216836"}, {"ref": "chardo/top-5-winning-automl-submission", "kernel_id": "7250264"}, {"ref": "martinobernasconi/simple-ridge-0-81", "kernel_id": "7623258"}, {"ref": "anjanatiha/real-or-not-nlp-with-disaster-tweets", "kernel_id": "7242455"}, {"ref": "akarshb/disaster-identification", "kernel_id": "7381856"}, {"ref": "msondkar/disaster-tweets-classification-with-an-rnn", "kernel_id": "7711923"}, {"ref": "sourabhdattawad/huggingface-transformers-bert-for-beginners", "kernel_id": "7370573"}, {"ref": "frednavruzov/starter-graph-based-eda-and-baseline-v1", "kernel_id": "7322275"}, {"ref": "frednavruzov/be-careful-with-f1-score-shuffle-estimate", "kernel_id": "7371255"}, {"ref": "frednavruzov/starter-how-the-data-was-collected", "kernel_id": "7357532"}, {"ref": "prabanch/nlp-eda-bag-of-words-tf-idf-glove-rnn", "kernel_id": "7589174"}, {"ref": "artgor/micro-challenge-vectorizers-e6f87f", "kernel_id": "7749997"}, {"ref": "amrkeleg/automl-getting-started-notebook", "kernel_id": "7597717"}, {"ref": "r123456/n-gram-model-disaster-tweets", "kernel_id": "7225106"}, {"ref": "estepmax/real-or-not-disaster-tweet-classification", "kernel_id": "7505988"}, {"ref": "hrmello/part-of-speech-tagging", "kernel_id": "7419122"}, {"ref": "bombatkarvivek/tensorflow-2-0-tweet-classification-v1", "kernel_id": "7364609"}, {"ref": "mylee2009/disaster-tweets-with-lightgbm-googlenewsembedding", "kernel_id": "7433176"}, {"ref": "xanthate/real-or-not-disaster-tweets", "kernel_id": "7715039"}, {"ref": "xanthate/bert-real-or-not", "kernel_id": "7961200"}, {"ref": "shouvik19/nlp-tweets", "kernel_id": "7427392"}, {"ref": "kishor1210/nlp-hands-on-project-part-1-eda-and-preprocessing", "kernel_id": "7369322"}, {"ref": "shrutimechlearn/interrogating-the-tweet-data", "kernel_id": "7230571"}, {"ref": "ananthreddy/sentence-encoder-disaster-tweet-classification", "kernel_id": "7498734"}, {"ref": "ananthreddy/tweet-classification-for-diasters", "kernel_id": "7191575"}, {"ref": "ananthreddy/disaster-tweet-classification-bert", "kernel_id": "7833290"}, {"ref": "mandar1010/disaster-or-not", "kernel_id": "7847786"}, {"ref": "nicapotato/disaster-simple-lstm", "kernel_id": "7916583"}, {"ref": "nicapotato/lstm-disaster-text-numeric-embeddings", "kernel_id": "7915941"}, {"ref": "nicapotato/disaster-text-numeric-embeddings-densenet-cv", "kernel_id": "7671532"}, {"ref": "nicapotato/lgbm-baseline-disaster-text", "kernel_id": "7716484"}, {"ref": "shubham219/nlp-starter-with-different-models", "kernel_id": "7420435"}, {"ref": "mehulkumar99/disaster-tweets-minimal-word-level-vanilla-rnn", "kernel_id": "7737574"}, {"ref": "mehulkumar99/keras-word-embeddings-glove-lstms", "kernel_id": "7887789"}, {"ref": "apjansing/bow-for-disaster-detection", "kernel_id": "7802311"}, {"ref": "gogylogy/twitter-disaster-classification", "kernel_id": "7865281"}, {"ref": "dhruvrnaik/a-basic-fastai-text-classifier", "kernel_id": "7480478"}, {"ref": "mayurjain/binary-classification-using-nlp", "kernel_id": "7576514"}, {"ref": "anubhav1302/tweet-classification", "kernel_id": "7726668"}, {"ref": "srgrace/real-or-not-nlp-with-disaster-tweets", "kernel_id": "7408019"}, {"ref": "modoucair/disc-and-gen-models-for-disaster-tweets", "kernel_id": "7930399"}, {"ref": "virajdattt/niks-starter-pack", "kernel_id": "7284432"}, {"ref": "shahules/basic-eda-cleaning-and-glove", "kernel_id": "7192027"}, {"ref": "mvsfnig/beginner-bc-nlp-disaster-tweets", "kernel_id": "7859506"}, {"ref": "koheimuramatsu/nlp-for-disaster-detection", "kernel_id": "7309140"}, {"ref": "kcostya/micro-challenge-vectorizers-tfidf", "kernel_id": "7698026"}, {"ref": "abdoulsn/tweets-mining-eda-modeling", "kernel_id": "7201961"}, {"ref": "ekholme/disaster-tweet-eda-in-r", "kernel_id": "7428049"}, {"ref": "sanjitschouhan/nlp-with-disaster-tweets", "kernel_id": "7998051"}, {"ref": "gsdeepakkumar/real-or-not-nlp-modelling", "kernel_id": "7253222"}, {"ref": "gsdeepakkumar/simple-eda-real-or-not", "kernel_id": "7234077"}, {"ref": "grapestone5321/real-or-not-sample-submission", "kernel_id": "7191239"}, {"ref": "tabishm/nlp-disaster-with-attention-network-on-pytorch", "kernel_id": "7977255"}, {"ref": "ram510/tweet-classifier", "kernel_id": "7340960"}, {"ref": "pradeepmuniasamy/predicting-disaster-with-extensive-eda-and-fe", "kernel_id": "7449412"}, {"ref": "rerere/disaster-tweets-svm", "kernel_id": "7769837"}, {"ref": "kamalpangeni/disaster-tweets-with-lr-rf-dnn", "kernel_id": "7340959"}, {"ref": "atpspin/same-tweet-two-target-labels", "kernel_id": "7441816"}, {"ref": "pratik2901/nlp-using-nltk-textblob", "kernel_id": "7217728"}, {"ref": "iamprateek/real-or-fake-disaster-tweet", "kernel_id": "7715072"}, {"ref": "niteshhalai/count-of-words-nlp-with-disaster-tweets", "kernel_id": "7222337"}, {"ref": "niteshhalai/first-try-real-or-not-nlp-with-disaster-tweets", "kernel_id": "7202347"}, {"ref": "ashishbt08b004/svd-svc-eli5-tweet-disaster-prediction", "kernel_id": "7492503"}, {"ref": "israel777/universal-sentence-embedding-sentiment-analysis", "kernel_id": "7307903"}, {"ref": "rhodiumbeng/logistic-regression-baseline", "kernel_id": "7555333"}, {"ref": "yufengg/automl-getting-started-notebook", "kernel_id": "7115689"}, {"ref": "rajeshcv/stacking-cv-classifier-nlp", "kernel_id": "7368364"}, {"ref": "kamilpolak/nlp-eda-automated-stacking-bert", "kernel_id": "7593519"}, {"ref": "sunnynevarekar/disaster-tweets-starter-notebook", "kernel_id": "7794554"}, {"ref": "meenavyas/realornot-nlpwithdisastertweets", "kernel_id": "7305823"}, {"ref": "arpytanshu/bert-for-seq-classification", "kernel_id": "7979471"}, {"ref": "arpytanshu/utils", "kernel_id": "7971109"}, {"ref": "arpytanshu/real-or-not-disaster-tweets-xgb-0-77f1", "kernel_id": "7328421"}, {"ref": "sklasfeld/word-embeddings-and-pytorch-tutorial-sk-v1", "kernel_id": "7919258"}, {"ref": "sklasfeld/tensorflow-naive-bayes-classifier", "kernel_id": "7254861"}, {"ref": "sklasfeld/naive-bayes-classifier", "kernel_id": "7247058"}, {"ref": "amoghjrules/nlp-intro-detect-realness-of-a-tweet-tensorflow", "kernel_id": "7203006"}, {"ref": "ahhjones/disaster-tweet-recognition", "kernel_id": "7564490"}, {"ref": "yashobhan/disaster-eda-cleaning-classification", "kernel_id": "7915844"}, {"ref": "rftexas/text-only-bert-keras", "kernel_id": "7902392"}, {"ref": "imdevskp/exploring-disaster-tweets-eda-vis-class", "kernel_id": "7200751"}, {"ref": "ihelon/disaster-tweets-nlp-beginner", "kernel_id": "7197320"}, {"ref": "wldzia/tweets-nlp-in-r-using-keras", "kernel_id": "7539312"}, {"ref": "mrugeles/nlp-with-disaster-tweets", "kernel_id": "7733031"}, {"ref": "andrezio/nlp-using-others-models-and-numpy-array", "kernel_id": "7310823"}, {"ref": "kpriyanshu256/bert-fastai", "kernel_id": "7193189"}, {"ref": "bandits/using-keywords-for-prediction-improvement", "kernel_id": "7399924"}, {"ref": "borja042/freestyle-nlp", "kernel_id": "7729742"}, {"ref": "holfyuen/basic-nlp-on-disaster-tweets", "kernel_id": "7364503"}, {"ref": "shubhamborikar27/text-classification", "kernel_id": "7806489"}, {"ref": "shishu1421/nlp-with-fastai", "kernel_id": "7683883"}, {"ref": "fyycssx/first-try-lstm-with-glove-by-pytorch", "kernel_id": "7727600"}, {"ref": "vchulski/micro-challenge-vectorizers", "kernel_id": "7698854"}, {"ref": "funxexcel/keras-bert-using-tfhub-trial", "kernel_id": "7831009"}, {"ref": "funxexcel/basic-model-using-glove-and-data-cleaning", "kernel_id": "7830875"}, {"ref": "funxexcel/basic-starter-code-using-count-vectorizer", "kernel_id": "7906896"}, {"ref": "funxexcel/basic-starter-code-with-data-cleaning", "kernel_id": "7906987"}, {"ref": "vpkprasanna/twitter-tweet-analysis-and-classifier", "kernel_id": "7615007"}, {"ref": "emilvatai/nlp-getting-started-tutorial", "kernel_id": "7452105"}, {"ref": "anveshbaru/nlp-final-version-1", "kernel_id": "7656726"}, {"ref": "prashantkh19/disaster-tweets", "kernel_id": "7212100"}, {"ref": "kosovanolexandr/nlp-crash-test-more-than-20-approaches", "kernel_id": "7756550"}, {"ref": "iavinas/nlp-getting-started", "kernel_id": "7464996"}, {"ref": "iavinas/nlp-spacy-basics", "kernel_id": "7577377"}, {"ref": "ozdata/ensembles-with-disaster-tweets", "kernel_id": "7621283"}, {"ref": "ozdata/bert-huggingface-pytorch", "kernel_id": "7784637"}, {"ref": "sarmat/catalyst-simple-distillbert", "kernel_id": "7254174"}, {"ref": "bibek777/bert-baseline", "kernel_id": "7288700"}, {"ref": "bibek777/lstm-baseline", "kernel_id": "7193563"}, {"ref": "dellomoluca/notebook-101", "kernel_id": "7944547"}, {"ref": "rohitr4307/bert-real-or-not-nlp-with-diaster-tweets", "kernel_id": "7371124"}, {"ref": "deeplearn1/naive-bayes-learning", "kernel_id": "7755486"}, {"ref": "surajpm/nlp-using-pyspark-ml", "kernel_id": "7351544"}, {"ref": "mikeleske/disaster-with-bert", "kernel_id": "7409740"}, {"ref": "ningeen/micro-challenge-vectorizers", "kernel_id": "7707431"}, {"ref": "rsunil/version1", "kernel_id": "7634562"}, {"ref": "slatawa/simple-implementation-of-word2vec", "kernel_id": "7617779"}, {"ref": "slatawa/tfidf-implementation-to-get-80-accuracy", "kernel_id": "7435587"}, {"ref": "guillermoch/getting-started-baseline-model", "kernel_id": "7782160"}, {"ref": "guillermoch/baseline-neural-network", "kernel_id": "7816339"}, {"ref": "brcsnt/nlp-with-disaster-tweets-explore-the-tweets-vol1", "kernel_id": "7985909"}, {"ref": "ratan123/disaster-tweets-understanding-data-basic-model", "kernel_id": "7332848"}, {"ref": "ratan123/start-from-here-disaster-tweets-eda-basic-model", "kernel_id": "7200229"}, {"ref": "ratan123/in-depth-guide-to-google-s-bert", "kernel_id": "7636093"}, {"ref": "vladlee/disaster-tweets-glove-lstm-ensemble", "kernel_id": "7773703"}, {"ref": "vladlee/disaster-tweets-multi-sample-dropout", "kernel_id": "7961015"}, {"ref": "luilom90/real-or-not-disaster-nlp", "kernel_id": "7372300"}, {"ref": "hamditarek/fake-news-detection-on-twitter-eda", "kernel_id": "7190564"}, {"ref": "anmolstha/disaster-tweets-simple-rnn-implementation", "kernel_id": "7814747"}, {"ref": "deepak016/nlp-with-disaster-tweets", "kernel_id": "7780681"}, {"ref": "cabonfim10/basic-nlp-disaster-tweets", "kernel_id": "7500722"}, {"ref": "basu369victor/learning-bert-for-the-first-time", "kernel_id": "7384080"}, {"ref": "basu369victor/nlp-with-disaster-tweets-analysis-and-prediction", "kernel_id": "7249481"}, {"ref": "ezhdarya/micro-challenge-vectorizers", "kernel_id": "7707103"}, {"ref": "nandhuelan/let-s-not-complicate-the-tweets-v3", "kernel_id": "7324687"}, {"ref": "khoongweihao/disaster-nlp-deep-universal-sentence-encoder", "kernel_id": "7221007"}, {"ref": "cdk292/eda-with-r-wordclouds-dependency-parsing", "kernel_id": "7240305"}, {"ref": "doomdiskday/full-tutoria-eda-to-ensembles-embeddings-zoo", "kernel_id": "7590734"}, {"ref": "benfraser/simple-bag-of-words-classical-ml-solution", "kernel_id": "7984457"}, {"ref": "vbmokin/disaster-nlp-keras-bert-using-tfhub-tuning-pca", "kernel_id": "7471754"}, {"ref": "vbmokin/nlp-eda-bag-of-words-tf-idf-glove-bert", "kernel_id": "7212881"}, {"ref": "szelee/a-real-disaster-leaked-label", "kernel_id": "7274427"}, {"ref": "szelee/simpletransformers-hyperparam-tuning-k-fold-cv", "kernel_id": "7452952"}, {"ref": "sriharihumbarwadi/fine-tuning-bert-on-tpu", "kernel_id": "7202190"}, {"ref": "yukia18/bert-feature-based-experiments", "kernel_id": "7589091"}, {"ref": "njelicic/logreg-tweet-baseline", "kernel_id": "7948017"}, {"ref": "shwetagoyal4/simple-data-exploration", "kernel_id": "7199368"}, {"ref": "souren/real-or-fake-nlp-with-disaster-tweets", "kernel_id": "7219310"}, {"ref": "enomis92/real-or-not-nlp-with-disaster-tweets", "kernel_id": "7240416"}, {"ref": "wangweiyi/dt-ml-approach", "kernel_id": "7350690"}, {"ref": "wangweiyi/dt-bigram-with-keras-dense-cnn-lstm", "kernel_id": "7331966"}, {"ref": "uysimty/real-or-fake-disaster-tweet", "kernel_id": "7630456"}, {"ref": "ashwani2708/kernel49bef3eb37", "kernel_id": "7898961"}, {"ref": "nkoprowicz/a-very-simple-fine-tuned-bert-model", "kernel_id": "7698401"}, {"ref": "zzy990106/kernel1b98644a19", "kernel_id": "7714351"}, {"ref": "ykskks/comparison-of-naive-bayes-variants", "kernel_id": "7208247"}, {"ref": "ykskks/lightgbm-starter", "kernel_id": "7217258"}, {"ref": "hassanamin/bert-nlp-real-or-not", "kernel_id": "7984960"}, {"ref": "navneetkr123/nlp-feature-engineering-beginners", "kernel_id": "7451774"}, {"ref": "kalyankkr/preprocessing-and-eda", "kernel_id": "7295413"}, {"ref": "aziz69/nlp-bert-tpu-glove-0-83", "kernel_id": "7864319"}, {"ref": "siddhrath/kernel2e1b6d9476", "kernel_id": "7834024"}, {"ref": "saeedtqp/lstm-baseline-tweet-disaster", "kernel_id": "7204565"}, {"ref": "parthplc/practical-guide-to-nlp", "kernel_id": "7600042"}, {"ref": "jakelj/first-go-at-nlp-real-or-not-disaster-tweets", "kernel_id": "7596271"}, {"ref": "neelkamal692/tf-idf-from-scratch", "kernel_id": "7896133"}, {"ref": "alvaroibrain/a-visual-tweet-analysis-guide", "kernel_id": "7497439"}, {"ref": "alvaroibrain/xlnet-huggingface-transformers", "kernel_id": "7760491"}, {"ref": "pankajsoni12/predict-disaster-tweets", "kernel_id": "7215903"}, {"ref": "bcantt/nlp-disaster-tweets-basics", "kernel_id": "7434950"}, {"ref": "bcantt/new-method-nlp", "kernel_id": "7439323"}, {"ref": "bcantt/word-column-classifier", "kernel_id": "7591969"}, {"ref": "subratasarkar32/real-or-not-diaster-google-bert", "kernel_id": "7999777"}, {"ref": "fenglongyu/fenglongyu-eda-disaster", "kernel_id": "7613880"}, {"ref": "parikshitag/kernel6fbd7a6629", "kernel_id": "7766114"}, {"ref": "konerusudhir/disaster-nlp-train-bert", "kernel_id": "7245143"}, {"ref": "konerusudhir/disaster-nlp-train-a-universal-sentence-encoder", "kernel_id": "7229329"}, {"ref": "konerusudhir/real-or-not-tweets-cleaned-data", "kernel_id": "7213439"}, {"ref": "syednoumanhasany/disaster-tweets-basic-deep-learning-solution", "kernel_id": "7280887"}, {"ref": "lhideki/bert-with-kfold", "kernel_id": "7750946"}, {"ref": "ashmani999/bert-classification", "kernel_id": "7207889"}, {"ref": "tirthshah147/basics-solid-understanding-nlp-ml", "kernel_id": "7407469"}, {"ref": "viveknigam/vn-realornot", "kernel_id": "7854858"}, {"ref": "viveknigam/vn-disastertweets-automl", "kernel_id": "7928458"}, {"ref": "orion99/disaster-detection-from-tweets-using-lstm", "kernel_id": "7201466"}, {"ref": "adamlouly/simple-keras-lstm-for-warming-up", "kernel_id": "7196259"}, {"ref": "iamsiddhant/real-or-not", "kernel_id": "7593434"}, {"ref": "rainmaker29/tweets-nlp", "kernel_id": "7793738"}, {"ref": "werooring/short-and-basic-nlp-notebook", "kernel_id": "7911065"}, {"ref": "vinay1rana/kernel14e51e546c", "kernel_id": "7890335"}, {"ref": "aninajose/nlp-for-disaster-tweets", "kernel_id": "7554544"}, {"ref": "samarthsarin/bert-with-transformers", "kernel_id": "7253079"}, {"ref": "hermannliang/transfer-learning-with-fast-ai", "kernel_id": "7721090"}, {"ref": "utsavnandi/roberta-using-huggingface-tf-implementation", "kernel_id": "7591449"}, {"ref": "avyactjain1/kernel612ab9b972", "kernel_id": "7797821"}, {"ref": "sandeep545/0-80163-naive-bayes-with-feature-engineering", "kernel_id": "7282143"}, {"ref": "mariapushkareva/nlp-disaster-tweets-with-glove-and-lstm", "kernel_id": "7839398"}, {"ref": "salmanbaqri/word2vec-logistic-regression", "kernel_id": "7860717"}, {"ref": "mojtylor/nlp-with-disaster-tweets-eda-full-cleaning", "kernel_id": "7605624"}, {"ref": "xhlulu/disaster-nlp-distilbert-in-tf", "kernel_id": "7817598"}, {"ref": "xhlulu/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "7275319"}, {"ref": "xhlulu/disaster-nlp-train-a-universal-sentence-encoder", "kernel_id": "7213932"}, {"ref": "xceptions/text-classification-with-pytorch", "kernel_id": "7512727"}, {"ref": "fanconic/use-and-radam-optimizer", "kernel_id": "7240348"}, {"ref": "akshayextreme/bert-bi-lstm", "kernel_id": "7871174"}, {"ref": "tylerjthomas9/huggingface-tf2-roberta-base-class-weights", "kernel_id": "7647492"}, {"ref": "fedjkeee/keras-bert-tf-hub-svm", "kernel_id": "7827339"}, {"ref": "vatsalgosar/disaster-tweets", "kernel_id": "7829316"}, {"ref": "sanjanapatil96/nlp-with-disaster-tweets", "kernel_id": "7199275"}, {"ref": "houssemayed/ml-real-or-fake-tweets", "kernel_id": "7889097"}, {"ref": "kylezhaoxc/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "7602359"}, {"ref": "msheriey/fixed-kernel-twitter-by-sravankumarreddyskr", "kernel_id": "7388043"}, {"ref": "chariots17/using-bert-model-and-naive-bayes", "kernel_id": "7966020"}, {"ref": "reidtc/0-71-baseline-naive-bayes-on-keyword-only", "kernel_id": "7382552"}, {"ref": "elcaiseri/nlp-the-simplest-way", "kernel_id": "7612401"}, {"ref": "lkatran/disaster-tweets-svm", "kernel_id": "7928811"}, {"ref": "myh0307/beginer-s-nlp", "kernel_id": "7457314"}, {"ref": "abhikmeher/basic-nlp-example", "kernel_id": "7970186"}, {"ref": "desareca/nlp-getting-started-xgboost-tree", "kernel_id": "7734763"}, {"ref": "vadbeg/pytorch-lstm-with-disaster-tweets", "kernel_id": "7499128"}, {"ref": "fmak95/real-or-not", "kernel_id": "7819214"}, {"ref": "pradneshmhatre/disaster-tweets-real-not-real", "kernel_id": "7273184"}, {"ref": "ahmedsmara/real-or-not-nlp-with-disaster-tweets", "kernel_id": "7239019"}, {"ref": "ahmedsmara/real-or-not-lstm", "kernel_id": "7242577"}, {"ref": "ahmedsmara/visualizing-word-embedding-using-t-sne", "kernel_id": "7326497"}, {"ref": "keenborder/attention-mechanism-classifier", "kernel_id": "7420551"}, {"ref": "ashoksrinivas/nlp-with-tfidf-neural-networks", "kernel_id": "7321331"}, {"ref": "poonam291993/real-or-not", "kernel_id": "7786074"}, {"ref": "justinrobin/com-tweet", "kernel_id": "7477258"}, {"ref": "giaphattram/a-simple-end-to-end-applied-nlp-project", "kernel_id": "7609699"}, {"ref": "sunfax/real-or-not-disaster-management", "kernel_id": "7224615"}, {"ref": "kaggleurroad/basic-eda-cleaning-and-glove", "kernel_id": "7889291"}, {"ref": "voodoojanus/ec524-jan-17-20", "kernel_id": "7498584"}, {"ref": "gunesevitan/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "7241037"}, {"ref": "rakesh835/predicts-which-tweets-about-disaster", "kernel_id": "7452529"}, {"ref": "omfuke123/simple-prediction-with-logisticregression", "kernel_id": "7719307"}, {"ref": "darrence/real-or-not-disaster-tweets", "kernel_id": "7649950"}, {"ref": "himanshubajpai/real-or-not-nlp-with-disaster-tweets", "kernel_id": "7467392"}, {"ref": "artikwh/disaster-tweet-with-lgbmclassifier", "kernel_id": "7737851"}, {"ref": "durgasandeep/nlp-startpoint-for-beginners", "kernel_id": "7206526"}, {"ref": "pjain299/twitter-npl", "kernel_id": "7609249"}, {"ref": "hanjoonchoe/nlp-lstm-bert-pytorch", "kernel_id": "7750162"}, {"ref": "codehax41/real-or-not-nlp-disaster", "kernel_id": "7381611"}, {"ref": "user123454321/simple-eda-simple-tfidf-lr-model", "kernel_id": "7199997"}, {"ref": "user123454321/bert-starter", "kernel_id": "7254231"}, {"ref": "user123454321/bert-starter-inference", "kernel_id": "7254409"}, {"ref": "kbhatia1/beginner-then-get-started-with-this", "kernel_id": "7912799"}, {"ref": "usman4485/usmanembedding", "kernel_id": "7973081"}, {"ref": "pksx01/disaster-tweets-nlp-using-tensorflow-hub-version2", "kernel_id": "7708277"}, {"ref": "pksx01/disaster-tweets-nlp-using-tensorflow-hub", "kernel_id": "7670266"}, {"ref": "ayushiroully/kernel55712b0464", "kernel_id": "7753174"}, {"ref": "sravankumarreddyskr/twitter-tweets-analysis", "kernel_id": "7371537"}, {"ref": "theorist1/nlp-getting-started-tutorial", "kernel_id": "7693287"}, {"ref": "davidarcila93/nlp-word-embeddings-with-tensorflow", "kernel_id": "7229992"}, {"ref": "topsyan/disaster-nlp", "kernel_id": "7752727"}, {"ref": "abartonicek/shallow-learning-on-disaster-tweets-enet-rf-knn", "kernel_id": "7549171"}, {"ref": "girijeshcse/automl-getting-started-notebook", "kernel_id": "7264815"}, {"ref": "rinisett/nlp-twitter-real-or-not-getting-started", "kernel_id": "7636442"}, {"ref": "sachita21/kernelcd26eb64be", "kernel_id": "7541461"}, {"ref": "prschdt/a-first-glance-at-the-data", "kernel_id": "7205039"}, {"ref": "zfayfay/nlp-with-disaster-tweets-acc-0-996-ensemble", "kernel_id": "7920940"}, {"ref": "prasadpatil99/text-preprocessing-svc", "kernel_id": "7639315"}, {"ref": "leosuky/disaster-tweets-with-cloud-automl", "kernel_id": "7755916"}, {"ref": "bags8040/distilbertwithensemblefold", "kernel_id": "7282257"}, {"ref": "yashchenkoyurii/tensorflow-2-0", "kernel_id": "7201074"}, {"ref": "sawans/solution-using-nlp-and-naive-bayes", "kernel_id": "7247666"}, {"ref": "sinbycos/nlp-with-disaster-tweets", "kernel_id": "7689123"}, {"ref": "montimirko/prova-nlp-disaster-tensorflow-con-bert", "kernel_id": "7643093"}, {"ref": "anaidashaginian/getting-started-with-nlp", "kernel_id": "7574509"}, {"ref": "aaroha33/a-real-disaster-leaked-label", "kernel_id": "7524551"}, {"ref": "ryobamboo/disaster-tweets-implement-rnn-from-scratch", "kernel_id": "7879614"}, {"ref": "amypeniston/getting-started-basic-eda-with-seaborn-nltk", "kernel_id": "7597841"}, {"ref": "danishkhan18/kernel65206bff12", "kernel_id": "7789065"}, {"ref": "soumayan1/kernel30ed4f82bf", "kernel_id": "7519284"}, {"ref": "manojkumar9177341/nlp-disaster-analysis-tweets-basic", "kernel_id": "7563805"}, {"ref": "avramandrei96/short-and-simple-lstm-with-glove-embeddings", "kernel_id": "7574665"}, {"ref": "jesvinho/disaster-nlp", "kernel_id": "7811674"}, {"ref": "antonenanenas/kernel7390049738", "kernel_id": "7743302"}, {"ref": "danich329/word-embeddings-and-pytorch-tutorial", "kernel_id": "7661927"}, {"ref": "anandkenta/disaster-tweets-eda-tfidf-weightw2v-xgb", "kernel_id": "7284089"}, {"ref": "kushbhatnagar/disaster-tweets-eda-nlp-classifier-models", "kernel_id": "7375382"}, {"ref": "aliabbas110/tweet-classification-using-logistic-regression", "kernel_id": "7916864"}, {"ref": "shashi7341/disaster-tweet-nlp-real-or-not", "kernel_id": "7253161"}, {"ref": "devicharith/real-or-not", "kernel_id": "7200583"}, {"ref": "vikassingh1996/simple-model-feat-nlp-disaster-tweets-lb-0-80572", "kernel_id": "7958107"}, {"ref": "jdparsons/automl-cleaned-and-augmented-data", "kernel_id": "7191385"}, {"ref": "jdparsons/gpt-2-fake-real-disasters-data-augmentation", "kernel_id": "7204379"}, {"ref": "jdparsons/tweet-cleaner", "kernel_id": "7227970"}, {"ref": "jdparsons/use-lgb-grid-search-kfold-cv", "kernel_id": "7245187"}, {"ref": "cyannani123/identify-disasters-by-words-in-tweets-with-keras", "kernel_id": "7389035"}, {"ref": "ezzaldin6/eda-nlp-ml", "kernel_id": "7776988"}, {"ref": "guipodtouch/testing-min-frequency", "kernel_id": "7680889"}, {"ref": "sharkfin/kernel16915b8e72", "kernel_id": "7446979"}, {"ref": "kehindeajayi/real-or-not", "kernel_id": "7950988"}, {"ref": "mukeshmeena/real-or-not-nlp-with-disaster-tweets-0-79-publi", "kernel_id": "7725114"}, {"ref": "imoisharma/micro-challenge-vectorizers-tfidf", "kernel_id": "7710731"}, {"ref": "jindalnishant/applying-basic-bert-model", "kernel_id": "7899824"}, {"ref": "vidhi27/nlp-real-tweets-eda-glove", "kernel_id": "7778447"}, {"ref": "isunil/beginner-twitter-disaster-neural-network", "kernel_id": "7561020"}, {"ref": "odessing/disaster-tweets", "kernel_id": "7392632"}, {"ref": "shreyassoni/lstm-model", "kernel_id": "7276236"}, {"ref": "dmikar/cnn-and-lstm", "kernel_id": "7210649"}, {"ref": "dmikar/sgdclassifier-disaster", "kernel_id": "7198540"}, {"ref": "dmikar/multinomialnb-disaster", "kernel_id": "7199146"}, {"ref": "alex1204/real-or-not-voteclassifier", "kernel_id": "7523426"}, {"ref": "alex1204/tweet-classification-svm", "kernel_id": "7336820"}, {"ref": "spiiiii/real-or-not-svm", "kernel_id": "7563191"}, {"ref": "rahalrsh/predict-real-or-not-disaster-tweets", "kernel_id": "7992576"}, {"ref": "eliasgreen/simple-research-nlp", "kernel_id": "7275947"}, {"ref": "huzmorgoth/twittertweets-disaster-nlp-problem", "kernel_id": "7412183"}, {"ref": "marcovasquez/basic-nlp-with-tensorflow-and-wordcloud", "kernel_id": "7191399"}, {"ref": "priyansh8/disaster-tweets-detection", "kernel_id": "7495206"}, {"ref": "nmaguette/up-to-date-list-of-slangs-for-text-preprocessing", "kernel_id": "7815292"}, {"ref": "vemarav/nlp-getting-started", "kernel_id": "7826142"}, {"ref": "mohamedabdullah/disaster-tweets-solution", "kernel_id": "7218871"}, {"ref": "mjvakili/tokenizer-glove-convolution", "kernel_id": "7386169"}, {"ref": "mjvakili/glove-bidirectional-lstm", "kernel_id": "7581566"}, {"ref": "catadanna/simple-nlp-classification", "kernel_id": "7975555"}, {"ref": "ayushimishra2809/nlp-disaster-tweets-getting-started", "kernel_id": "7630771"}, {"ref": "arpan96787/getting-started-with-nlp-on-real-or-not", "kernel_id": "7195715"}, {"ref": "rashmigrp/real-fake-tweets-using-automl", "kernel_id": "7868163"}, {"ref": "cristophersfr/transformers-and-twitter-disaster-predictions", "kernel_id": "7511725"}, {"ref": "cristophersfr/twitter-disaster-problem-with-pytorch", "kernel_id": "7393117"}, {"ref": "ranxiaoyu/keras-first-ml", "kernel_id": "7208296"}, {"ref": "ranxiaoyu/keras-for-ml", "kernel_id": "7208566"}, {"ref": "kavinder31phogat/kernel2094040f6a", "kernel_id": "7202559"}, {"ref": "zichengliu0226/nlp-getting-started-bert", "kernel_id": "7898957"}, {"ref": "maobinfu1988/sentiment-analysis-with-tweets-data-and-lr-model", "kernel_id": "7449859"}, {"ref": "anandsubbu007/beginner-nlp-basics-tfidf-logreg", "kernel_id": "7744234"}, {"ref": "thomasschafer97/keras-nlp-tweets", "kernel_id": "7253352"}, {"ref": "fnguyen/a-tidytext-approach-to-nlp-modeling-for-beginners", "kernel_id": "7858444"}, {"ref": "fnguyen/experimenting-with-bert-on-identifying-fake-news", "kernel_id": "7872573"}, {"ref": "jyotigangwar29/nlp-ann", "kernel_id": "7404300"}, {"ref": "dmitri9149/svm-expm-v0", "kernel_id": "7699366"}, {"ref": "uurdeep/nlp-for-disaster-tweets", "kernel_id": "7529577"}, {"ref": "sbastuff/twitter-disaster-nlp-and-future-directions", "kernel_id": "7625809"}, {"ref": "armitaraz/nlp-tweet-disaster-using-fasttext", "kernel_id": "7606143"}, {"ref": "zarrie/beginner-friendly-sentence-embeddings", "kernel_id": "7455308"}, {"ref": "ankitkumarsaini/scikit-learn-pipelines", "kernel_id": "7229085"}, {"ref": "arpitkumaragarwal/real-or-not-tweet-project", "kernel_id": "7652502"}, {"ref": "ryomakawata/twitter", "kernel_id": "7388606"}, {"ref": "ryomakawata/twitter3", "kernel_id": "7303150"}, {"ref": "tarandro/word-frequency-and-cloud", "kernel_id": "7190415"}, {"ref": "denjustden/kernel180bac5149", "kernel_id": "7761794"}, {"ref": "utsavdm/real-or-not-nlp-with-disaster-tweets", "kernel_id": "7504257"}, {"ref": "stephenofarrell/beginner-nlp", "kernel_id": "7226709"}, {"ref": "ksrivarun7/real-or-not-using-tensorflow", "kernel_id": "7739542"}, {"ref": "mikiyaokuno/real-or-not-nlp-with-disaster-tweets", "kernel_id": "7191921"}, {"ref": "hs999518/naive-bayes-real-nlp-or-not", "kernel_id": "7351536"}, {"ref": "misakrug/kernel63aa630971", "kernel_id": "7749923"}, {"ref": "danieleduardofajardo/fake-tweets-linearsvc", "kernel_id": "7792197"}, {"ref": "vishal9839/basic-kernel-nlp-real-or-not", "kernel_id": "7723555"}, {"ref": "vishal9839/real-or-fake-nlp", "kernel_id": "7737339"}, {"ref": "vivek61/tweet-classifier", "kernel_id": "7201405"}, {"ref": "jaikiranpedadads/cleaning-the-data", "kernel_id": "7321999"}, {"ref": "alexandrucodrescu/tweet-nlp-sklearn", "kernel_id": "7901999"}, {"ref": "yoursakash/a-realornot", "kernel_id": "7744242"}, {"ref": "yoursakash/real-or-not", "kernel_id": "7757288"}, {"ref": "manlunglo/80-accuracy-apply-lstm-to-features-using-glove", "kernel_id": "7489486"}, {"ref": "manlunglo/81-accuracy-quick-short-nlp-model-using-bert", "kernel_id": "7824085"}, {"ref": "imvivek14/pre-processing-for-bert", "kernel_id": "7272311"}, {"ref": "sabnina/nlp-tweets-first-analysis", "kernel_id": "7438141"}, {"ref": "sabnina/real-or-not-nlp-tweets-analysis-and-predictions", "kernel_id": "7525468"}, {"ref": "wrrosa/nlp-getting-started-tutorial-in-r", "kernel_id": "7682898"}, {"ref": "wrrosa/keras-bert-using-tfhub-modified-train-data", "kernel_id": "7858359"}, {"ref": "muniahumaira/nlp-disaster-classification-from-tweets", "kernel_id": "7450434"}, {"ref": "rohitsingh9990/starter-kit-eda-real-or-not-nlp-with-disaster", "kernel_id": "7196270"}, {"ref": "sangyunkang/nlp-with-disaster-tweets", "kernel_id": "7807756"}, {"ref": "teyang/twitter-disaster-eda-clean-lstm", "kernel_id": "7990827"}, {"ref": "anki112279/identifying-disaster-by-tweets", "kernel_id": "7850338"}, {"ref": "neerjajhingan/nlp-tweet-disaster-for-beginners", "kernel_id": "7625699"}, {"ref": "mercychepkoech/kernel7b9bf7684e", "kernel_id": "7466993"}, {"ref": "arjumandfatima/k-means-classification-for-disaster-tweets", "kernel_id": "7840256"}, {"ref": "atripathi3675/applying-basic-bert-model", "kernel_id": "7899839"}, {"ref": "luukhofman/disaster-or-not-glove-embedded-cnn", "kernel_id": "7533815"}, {"ref": "luukhofman/disaster-or-not-simple-nn-baseline-model", "kernel_id": "7516521"}, {"ref": "fkdplc/disaster-tweets-bidirectional-lstm-glove", "kernel_id": "7339214"}, {"ref": "vitaliykoren/lstm-with-two-dimensional-max-pooling-with-pytorch", "kernel_id": "7495730"}, {"ref": "jeramyzsm/simple-eda", "kernel_id": "7191951"}, {"ref": "harpreetkaurmahant/nlp-getting-started-tutorial", "kernel_id": "7622970"}, {"ref": "harpreetkaurmahant/nlp-tweets", "kernel_id": "7625707"}, {"ref": "davidwalkup/learning-nlp", "kernel_id": "7961446"}, {"ref": "a2hrfr/realorfake", "kernel_id": "7489166"}, {"ref": "evelynchin/nlp-disaster-tweets", "kernel_id": "7700184"}, {"ref": "ryanchan911/prediction-on-disaster-tweets-using-lstm", "kernel_id": "7710914"}, {"ref": "jskimkorea/nlp-practice-sklearn-nltk", "kernel_id": "7738635"}, {"ref": "akihironomura/nlp-with-disaster-tweets-eda-nlp-xgboost", "kernel_id": "7679151"}, {"ref": "denukadharmaseelan/nlp-getting-started-tutorial", "kernel_id": "7211620"}, {"ref": "oleksiiluppa/rnn-for-nlp", "kernel_id": "7530259"}, {"ref": "amitthakare/basic-ml-classification-tutorial-nlp-for-disaster", "kernel_id": "7288046"}, {"ref": "cheturvedi/kernel5f14d8c965", "kernel_id": "7562873"}, {"ref": "royyutsai/real-or-not-nlp-with-disast-nlp-accumulate-string", "kernel_id": "7389045"}, {"ref": "royyutsai/real-or-not-nlp-with-disast-kersamlp", "kernel_id": "7390652"}, {"ref": "sharontlin/nlp-disaster-tweets", "kernel_id": "7489164"}, {"ref": "saifeddineghribi1/altegrad-nlp", "kernel_id": "7905441"}, {"ref": "chenlin2016/real-or-not", "kernel_id": "7873960"}, {"ref": "madhusrikanth/prediction-of-hazardous-tweets", "kernel_id": "7526813"}, {"ref": "qianghan/text-data-eda-cleaning", "kernel_id": "7754053"}, {"ref": "amruthjithrajvr/lgbm-xgb-abc", "kernel_id": "7592937"}, {"ref": "jessepwright/disaster-tweets", "kernel_id": "7762449"}, {"ref": "sergiouribe10/transferlearningulmfit-75-costly-20min", "kernel_id": "7954241"}, {"ref": "rahulsattar/real-or-not-disaster-tweet-prediction-using-lstm", "kernel_id": "7826698"}, {"ref": "shubhamai/predicting-disaster-tweet", "kernel_id": "7971078"}, {"ref": "alexandrepetrachini/nlp-simple-tweets-solution-svc", "kernel_id": "7894042"}, {"ref": "nikamrupesh/learning-nlp-with-disaster-tweets", "kernel_id": "7862295"}, {"ref": "wasimakram89/applying-basic-bert-model", "kernel_id": "7899831"}, {"ref": "ashokdas/applying-basic-bert-model", "kernel_id": "7899829"}, {"ref": "mohitsharma04dec/tweets-classification", "kernel_id": "7960548"}, {"ref": "chotch/adaptnlp-easier-bert-based-models", "kernel_id": "8328244"}, {"ref": "marcfiani/classification-using-fastai-v2", "kernel_id": "8913765"}, {"ref": "aninda/nlp-disaster-fastai", "kernel_id": "8527602"}, {"ref": "aninda/aninda-nlp-disaster", "kernel_id": "8498916"}, {"ref": "sauravghosh/fake-tweets-classification-without-dl", "kernel_id": "8192870"}, {"ref": "farmani60/automl-real-or-fake-tweets", "kernel_id": "8397715"}, {"ref": "grechut/real-or-not-nlp-with-disaster-tweets", "kernel_id": "8531164"}, {"ref": "highflyingbird/how-to-use-roberta-with-mean-and-max-pooling", "kernel_id": "8493694"}, {"ref": "kksienc/comprehensivenlp-tutorial-2-dl-prespective", "kernel_id": "8931449"}, {"ref": "kksienc/comprehensive-nlp-tutorial-1-ml-perspective", "kernel_id": "8914076"}, {"ref": "kksienc/comprehensive-nlp-tutorial-3-bert", "kernel_id": "8954952"}, {"ref": "adnaiksachin25/xgb-parameter-optimization", "kernel_id": "8444467"}, {"ref": "adnaiksachin25/gridsearchcv-logistic-regression", "kernel_id": "8437643"}, {"ref": "casals90/nlp-real-or-not-real-disaster", "kernel_id": "8965188"}, {"ref": "mikrohelen/twitter-nlp-disaster-analysis", "kernel_id": "8268368"}, {"ref": "sreesindhusruthi/fork-of-kernel611eb5614d", "kernel_id": "8103032"}, {"ref": "sreesindhusruthi/nlp-getting-started-tutorial", "kernel_id": "8088091"}, {"ref": "sreesindhusruthi/kernel611eb5614d", "kernel_id": "8088277"}, {"ref": "rahulvks/ernie-bert-s-best-friend-baseline-nb", "kernel_id": "8215555"}, {"ref": "mukulsingh/nlp-project-identifying-the-disaster-tweets", "kernel_id": "8879430"}, {"ref": "iosialectus/nlp-basics", "kernel_id": "8328914"}, {"ref": "lematmat/fake-tweet-disaster-detection-with-use", "kernel_id": "8615776"}, {"ref": "teka1216/nlp-analysis-in-r", "kernel_id": "8955979"}, {"ref": "mohitsital/0-80777-simplest-model-naive-bayes", "kernel_id": "8788357"}, {"ref": "mohitsital/eda-fe-logistic-reg-svm", "kernel_id": "8699431"}, {"ref": "tbhavnani/simple-feature-engineering-tfhub-and-ml", "kernel_id": "8203511"}, {"ref": "pcharambira/real-or-not-nlp-with-disaster-tweets", "kernel_id": "8518296"}, {"ref": "zzemadj/xgboost-testdrive", "kernel_id": "8347079"}, {"ref": "sushanth1995/text-classification-with-bert-xgboost", "kernel_id": "8853238"}, {"ref": "sushanth1995/extensive-preprocessing-for-bert", "kernel_id": "8852317"}, {"ref": "sushanth1995/xgboost-for-text-classification", "kernel_id": "8403941"}, {"ref": "muhammedfathi/fake-or-real-with-bert", "kernel_id": "8088727"}, {"ref": "jagannathrk/nlp-with-disaster-tweets-transformers", "kernel_id": "8275059"}, {"ref": "jagannathrk/facebook-google-nlp-sota", "kernel_id": "8327722"}, {"ref": "jagannathrk/lstm-vs-bert", "kernel_id": "8327795"}, {"ref": "stefanjo/getting-started-with-nlp-nb-lr-baseline", "kernel_id": "8073420"}, {"ref": "manjeetsingh/disaster-or-no-disaster", "kernel_id": "8243591"}, {"ref": "manjeetsingh/rnn-for-disaster-tweets", "kernel_id": "8402507"}, {"ref": "manjeetsingh/naive-bayes-for-disaster-tweets", "kernel_id": "8392363"}, {"ref": "nachiket273/huggingface-bert-uncased-tweet-classification", "kernel_id": "8757320"}, {"ref": "vissu27/disaster-detection-from-message-using-nlp", "kernel_id": "8310381"}, {"ref": "xanthate/text-preprocessing-real-or-not", "kernel_id": "8085025"}, {"ref": "yclaudel/disaster-tweets-tfidf-selectkbest-mlp", "kernel_id": "8161512"}, {"ref": "nicapotato/bert-oof-with-dense-features", "kernel_id": "8047104"}, {"ref": "tp2422/glove-lstm-v1", "kernel_id": "8471288"}, {"ref": "tp2422/twitter-lr-cv", "kernel_id": "8034814"}, {"ref": "tarika/basic-nlp-with-randomforest", "kernel_id": "8312168"}, {"ref": "vsevicky/real-or-fake-disaster-tweet", "kernel_id": "8101093"}, {"ref": "gabbygab/it-s-a-disastah", "kernel_id": "8572584"}, {"ref": "poornap/nlp-replicating-how-to-enter-kaggle-by-rebecca", "kernel_id": "8103486"}, {"ref": "definedennis/pretrained-bert-with-huggingface-tensorflow-2-1", "kernel_id": "8220113"}, {"ref": "shefaligoyal/basic-model-to-classify-real-or-fake-tweets", "kernel_id": "8145092"}, {"ref": "makslizok/tweet-disaster-with-use", "kernel_id": "8539106"}, {"ref": "datark1/disaster-tweets-eda-tokenisation-xgb-ensemble", "kernel_id": "8091095"}, {"ref": "microize/disaster-tweet-classification-beginner", "kernel_id": "8251518"}, {"ref": "sohanbadade/kernel5f85ad7413", "kernel_id": "8197003"}, {"ref": "ajisamudra/nlp-count-tf-idf-hashing-vectorizer", "kernel_id": "8427392"}, {"ref": "aakash90/real-or-not-twitter-sentiment-analysis", "kernel_id": "8223831"}, {"ref": "arpytanshu/grouped-keyword-bert-model", "kernel_id": "8282314"}, {"ref": "muhammadarham/practice-classifier-for-disaster-tweeets", "kernel_id": "8346127"}, {"ref": "peacemaket/real-or-not-nlp-with-tweets", "kernel_id": "8361892"}, {"ref": "vivekpandain/basic-lstm", "kernel_id": "8486687"}, {"ref": "dubeyji/disaster-prediction", "kernel_id": "8191554"}, {"ref": "gustavomodelli/predict-disaster-tweet", "kernel_id": "8713187"}, {"ref": "vudangthinh/nlp-with-disaster-tweets-lstm-kfold-pytorch", "kernel_id": "8476696"}, {"ref": "antwerp/bert-bpe-simple-implementation-with-flair", "kernel_id": "8188625"}, {"ref": "arturdzieciol/nlp-distaster-twitter-data-analysis", "kernel_id": "8426078"}, {"ref": "kpriyanshu256/bert-finetuning-fastai", "kernel_id": "8190313"}, {"ref": "arbazkhan971/tweets-classification-82-eda-cleaning-fastai", "kernel_id": "8656813"}, {"ref": "nanto88/eda-ml-deep-learning-with-sklearn-and-pytorch", "kernel_id": "8098759"}, {"ref": "ahmetdiril/introduction-to-nlp-by-analyzing-disaster-tweets", "kernel_id": "8235073"}, {"ref": "naiara/my-first-nlp", "kernel_id": "8528020"}, {"ref": "eyyeung/fake-or-real-nlp-classification-tf-embedding", "kernel_id": "8104490"}, {"ref": "lukasksiezak/real-or-not-nlp-with-disaster-tweets-tm-in-r", "kernel_id": "8585562"}, {"ref": "dellomoluca/kernel170ec89057", "kernel_id": "8147497"}, {"ref": "harshpat/project-1", "kernel_id": "8314684"}, {"ref": "matiasmgonzalez/kernel4be84df82d", "kernel_id": "8303315"}, {"ref": "jdesert/disaster-tweets-analysis-for-beginners-wip", "kernel_id": "8715242"}, {"ref": "jaydensun/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "8916911"}, {"ref": "zachary3141/disaster-nlp", "kernel_id": "8161865"}, {"ref": "sishihara/catboost-with-text-feature", "kernel_id": "8226699"}, {"ref": "sishihara/catboost-with-no-text-feature", "kernel_id": "8229138"}, {"ref": "guillemkami/getting-started-with-nlp-using-jax", "kernel_id": "8129626"}, {"ref": "nakatahello/speech-tagging-analysis-approach", "kernel_id": "8083355"}, {"ref": "abazdyrev/iasa-natural-language-processing-workshop-part-1", "kernel_id": "8210754"}, {"ref": "abazdyrev/iasa-natural-language-processing-workshop-part-2", "kernel_id": "8211244"}, {"ref": "rkritika1508/word2vec", "kernel_id": "8992391"}, {"ref": "egimenez/nlp-disaster-tweets-multiword-tokenization-bert", "kernel_id": "8084112"}, {"ref": "dawinkaggle/kernel5835a72677", "kernel_id": "8204220"}, {"ref": "duanx075/nlp-with-disaster-tweets-learning-bert", "kernel_id": "8546980"}, {"ref": "filipefilardi/cleaning-and-feature-extraction-from-tweets", "kernel_id": "8441746"}, {"ref": "benfraser/rnn-lstm-implementation", "kernel_id": "8634868"}, {"ref": "benfraser/classical-bag-of-words-with-extensive-cleaning", "kernel_id": "8766497"}, {"ref": "tulaycaglayan/nlp-getting-started-tutorial", "kernel_id": "8365684"}, {"ref": "oliverxu/simple-text-preprocessing-and-ml-models", "kernel_id": "8260900"}, {"ref": "oliverxu/word-cloud-for-nlp", "kernel_id": "8158191"}, {"ref": "roma0775/micro-challenge-vectorizers", "kernel_id": "8023825"}, {"ref": "kondapi/simple-model-with-data-editing-after-eda", "kernel_id": "8247259"}, {"ref": "liangqingyuan/the-secret-of-accuracy-rate-1", "kernel_id": "8263586"}, {"ref": "harshbijlani09/kernel707975e344", "kernel_id": "8198374"}, {"ref": "sawarn69/multilingual-encoder-support-vector-machine", "kernel_id": "8221073"}, {"ref": "sawarn69/keras-bert-using-tfhub-modified-train-data", "kernel_id": "8353436"}, {"ref": "sawarn69/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "8372259"}, {"ref": "sawarn69/edas-basic-models-and-lstms", "kernel_id": "8135775"}, {"ref": "dousresl/naive-bayes-xgboost-and-bert", "kernel_id": "8213274"}, {"ref": "rishabhdhiman/nlp-with-disaster-tweets-eda-glove-lstms-xgb", "kernel_id": "8895247"}, {"ref": "aaroswings/model-fitting-and-prediction", "kernel_id": "8313800"}, {"ref": "kalyankkr/simple-is-better-tfidf-cv", "kernel_id": "8080690"}, {"ref": "avishake/quite-heavy-pre-processing-score-0-80759", "kernel_id": "8097495"}, {"ref": "anyijonathan/real-or-not-nlp-with-disaster-tweets-main", "kernel_id": "8089665"}, {"ref": "parthplc/distill-bert-for-classification", "kernel_id": "8375514"}, {"ref": "parthplc/word2vec-tutorial", "kernel_id": "8163158"}, {"ref": "parthplc/glove-implementation", "kernel_id": "8132073"}, {"ref": "theyellowboots/real-or-not-nlp-with-disaster-tweets", "kernel_id": "8509662"}, {"ref": "samshen/true-disaster-with-tweets-bilstm-bert-trial", "kernel_id": "8532234"}, {"ref": "utsavporwal/real-or-not", "kernel_id": "8663420"}, {"ref": "sunxuanxuan/pytorch-bert", "kernel_id": "8071891"}, {"ref": "fergusmclellan/intro-to-nlp-with-disaster-tweets", "kernel_id": "8915288"}, {"ref": "grantgasser/eda-naive-bayes-bert-glove-fasttext-nn", "kernel_id": "8275051"}, {"ref": "muthu1698/real-or-not-nlp", "kernel_id": "8174151"}, {"ref": "vignesh1694/twitter-fault-sentiment-analysis", "kernel_id": "8051965"}, {"ref": "bcantt/new-method-2", "kernel_id": "8292179"}, {"ref": "jagdmir/tweet-analysis-ann-bert-cnn-n-gram-cnn", "kernel_id": "8341073"}, {"ref": "lajari/my-first-step-to-nlp", "kernel_id": "8791468"}, {"ref": "aykarekar/firstnotebook-nlp-twitter-analysis", "kernel_id": "8263293"}, {"ref": "bpkapkar/disasters-sentiments-improved", "kernel_id": "8368180"}, {"ref": "agrover112/simple-fasttext-disaster-tweets-classification", "kernel_id": "8477451"}, {"ref": "sagar1703/basic-eda-cleaning-vanilla-rnn-embedding-glove", "kernel_id": "8547372"}, {"ref": "nxhong93/tweet-predict1", "kernel_id": "8328692"}, {"ref": "shaswat1/kernel12e6cb053a", "kernel_id": "8372454"}, {"ref": "pradyu99914/disaster-tweets-lightgbm-tfidf", "kernel_id": "8996306"}, {"ref": "pranavraikokte/nlp-real-or-not", "kernel_id": "8465818"}, {"ref": "zarajamshaid/basic-nlp-on-disaster-tweets", "kernel_id": "8325963"}, {"ref": "lcorbucci/nlp-project", "kernel_id": "8997190"}, {"ref": "venky12347/nlp-disaster-tweets-data-preprocessing", "kernel_id": "8053913"}, {"ref": "salmanbaqri/improved", "kernel_id": "8268999"}, {"ref": "xhlulu/disasternlp-t-sne-with-tfhub-rapids-plotly", "kernel_id": "8003536"}, {"ref": "xceptions/twitter-text-classification-with-tensorflow", "kernel_id": "8664490"}, {"ref": "shubhamlekhwar/disater-tweets", "kernel_id": "8058473"}, {"ref": "sawrupesh04/nlp-getting-started", "kernel_id": "8524878"}, {"ref": "arefoestrada/nlp-classifying-disaster-tweets", "kernel_id": "8231926"}, {"ref": "podsyp/nlp-with-simple-eda-kfold-svd-tf-idf", "kernel_id": "8498864"}, {"ref": "zacktack/data-scientist-journey-twitter-disaster-nlp", "kernel_id": "8917759"}, {"ref": "yuhsuant1994/glove-yu-20200209", "kernel_id": "8081047"}, {"ref": "dojha00/disaster-tweet-1", "kernel_id": "8990075"}, {"ref": "itsbitan/nlpreal-or-not", "kernel_id": "8029550"}, {"ref": "lapidshay/bilstm-for-text-classification", "kernel_id": "8404920"}, {"ref": "namratakpatil/disaster-tweets-nlp", "kernel_id": "8250170"}, {"ref": "karthur10/skip-gram-implementation-with-pytorch-step-by-step", "kernel_id": "8704301"}, {"ref": "ahlemloulou/cnn-for-disaster-classification", "kernel_id": "8107624"}, {"ref": "bavalpreet26/nlp-with-disaster-tweets", "kernel_id": "8260343"}, {"ref": "jdjunior1029/disaster-tweet-sol", "kernel_id": "8977139"}, {"ref": "janvichokshi/disaster-tweets-cleaning-lstm-and-embedding", "kernel_id": "8424111"}, {"ref": "janvichokshi/real-or-not-nlp-with-bert-spacy-svm", "kernel_id": "8591963"}, {"ref": "pereirasteeven/kernel60c7e1d414", "kernel_id": "8142245"}, {"ref": "sidsaif/disaster-or-no-disaster", "kernel_id": "8303845"}, {"ref": "sidsaif/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "8390341"}, {"ref": "fzaplana/kernel5149f29040", "kernel_id": "8043628"}, {"ref": "s23deepak/nlp-disaster", "kernel_id": "8543569"}, {"ref": "nandini1999/fake-or-real-tweet-bert-nlp", "kernel_id": "8488120"}, {"ref": "maroberti/disaster-tweets-roberta-with-fastai", "kernel_id": "8121923"}, {"ref": "andyden/lstm-crawl-and-glove", "kernel_id": "8687032"}, {"ref": "sanwalsahil/text-classification-acc-80", "kernel_id": "8097479"}, {"ref": "sanwalsahil/basic-data-cleaning-with-keras-nltk-and-scikit", "kernel_id": "8071519"}, {"ref": "vijayjoyz/tweetnlp", "kernel_id": "8505285"}, {"ref": "shashankdeshpande/shashank-nlp", "kernel_id": "8245054"}, {"ref": "akshatj52/kernel71900be2a1", "kernel_id": "8717391"}, {"ref": "terminate9298/nlp-with-disaster-using-neural-network", "kernel_id": "8385135"}, {"ref": "terminate9298/nlp-with-disaster", "kernel_id": "8154730"}, {"ref": "binaicrai/weight-ngrams", "kernel_id": "8015525"}, {"ref": "badri07/a-beginner-nlp-tutorial-ml-approach", "kernel_id": "8946270"}, {"ref": "xzhang401/bert-test", "kernel_id": "8581650"}, {"ref": "alextowers123443/real-or-not-disaster-tweets-nlp", "kernel_id": "8363046"}, {"ref": "latong/lstm-vs-bert-train-data-from-scratch-huggingface", "kernel_id": "8062835"}, {"ref": "latong/when-facebook-confronts-google-nlp-sota", "kernel_id": "8278756"}, {"ref": "akashbb/nlp-disaster-tweets", "kernel_id": "8047246"}, {"ref": "raglandasir/disaster-tweets", "kernel_id": "8321476"}, {"ref": "kaiteli14/kaite-li-1001645704-practice", "kernel_id": "8187720"}, {"ref": "saga21/disaster-tweets-comp-introduction-to-nlp", "kernel_id": "8138071"}, {"ref": "serendipity09/real-or-not-comp-eda-cleaning-glove-model", "kernel_id": "8215571"}, {"ref": "akshitsharma206/nlp-disaster-competition-lstm-bert-xgboost", "kernel_id": "8915633"}, {"ref": "iamrahulr2k/nlp-with-disaster-tweets", "kernel_id": "8339569"}, {"ref": "khanheena69/disaster-tweets-nlp", "kernel_id": "8869830"}, {"ref": "jjnair/tweet-svm-bow-sentiment", "kernel_id": "8535600"}, {"ref": "guidant/disastersnlp-benchmarking-tfhub-bert-variations", "kernel_id": "8192299"}, {"ref": "guidant/nlpdisasters-benchmarking-ensembling-hfmodels", "kernel_id": "8269961"}, {"ref": "arifastics07/disaster-tweets-prediction-with-svm", "kernel_id": "8110441"}, {"ref": "nkovida/real-or-not-bert-model", "kernel_id": "8122746"}, {"ref": "yassinehamdaoui1/twitter-api-with-tweepy", "kernel_id": "8221382"}, {"ref": "yassinehamdaoui1/creating-tf-idf-model-from-scratch", "kernel_id": "8386963"}, {"ref": "vinaydoshi/disaster-tweet-nlp-baseline-logistic-regression", "kernel_id": "8143361"}, {"ref": "rinisett/disaster-tweets-using-word2vec", "kernel_id": "8011601"}, {"ref": "prakharb/eda-data-cleaning-glove-lstm", "kernel_id": "8000748"}, {"ref": "saurabhmaydeo/aml-svm", "kernel_id": "8804789"}, {"ref": "saurabhmaydeo/svm-aml", "kernel_id": "8790088"}, {"ref": "nileshnayyan/nlp-rf", "kernel_id": "8278874"}, {"ref": "varunyadav17/disaster-tweets", "kernel_id": "8752234"}, {"ref": "nunoferreira840/3-approaches", "kernel_id": "8741390"}, {"ref": "nunoferreira840/eda-tfidf-fasttext-shallow-network", "kernel_id": "8349236"}, {"ref": "nhoues1997/working-with-text-data-in-pandas", "kernel_id": "8529695"}, {"ref": "nhoues1997/bert-model-with-pytorch", "kernel_id": "8536043"}, {"ref": "yeonseokjeong/nlp-eda-a-to-z", "kernel_id": "8321528"}, {"ref": "yeonseokjeong/pytorch-tutorial-lstm", "kernel_id": "8320378"}, {"ref": "runorz/kernel79dc30567f", "kernel_id": "8672951"}, {"ref": "ahmed4fee/simple-kernel-for-nlp-with-disaster-tweets", "kernel_id": "8889944"}, {"ref": "nnandan15/nlp-disaster-tweets", "kernel_id": "8141920"}, {"ref": "nnandan15/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "8168596"}, {"ref": "vincsous/simple-npl-nn", "kernel_id": "8545358"}, {"ref": "mashiat/nlp-rnn", "kernel_id": "8577011"}, {"ref": "mashiat/nlp-lstm", "kernel_id": "8628971"}, {"ref": "aaroha33/disaster-tweets-evaluation-with-nlp", "kernel_id": "8013300"}, {"ref": "ramkripal/natural-language-processing-using-fastai-v2", "kernel_id": "8943612"}, {"ref": "lucca9211/real-or-not-nlp-with-disaster", "kernel_id": "8543887"}, {"ref": "lucca9211/nlp-disaster-bert", "kernel_id": "8557325"}, {"ref": "lucca9211/fork-of-nlp-disaster-bert", "kernel_id": "8582294"}, {"ref": "lucca9211/tweetanalysis-tf-hub", "kernel_id": "8743335"}, {"ref": "pritify/kernel6f2e87b071", "kernel_id": "8510454"}, {"ref": "drcapa/real-or-not-nlp-with-disaster-tweets-starter", "kernel_id": "8616808"}, {"ref": "vidyesh/lstm-with-glove", "kernel_id": "8236768"}, {"ref": "vidyesh/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "8235001"}, {"ref": "frankgn/back-translation-and-bert", "kernel_id": "8551921"}, {"ref": "bunnyyy/tweaking-the-tweets-with-word2vec", "kernel_id": "8061928"}, {"ref": "sjrsjr/200327-submission-v1-0", "kernel_id": "8455808"}, {"ref": "andreinovikov90/nlp-2", "kernel_id": "8333789"}, {"ref": "andreinovikov90/feature-extraction-and-embeddings-nlp-classify", "kernel_id": "8262529"}, {"ref": "awadhi123/real-or-not", "kernel_id": "8886416"}, {"ref": "iamsdt/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "8284262"}, {"ref": "sabyasachi10/nlp-for-disaster-tweets", "kernel_id": "8296806"}, {"ref": "vikassingh1996/different-approaches-to-nlp-problems", "kernel_id": "8289513"}, {"ref": "reukki/nlp-from-begginer-writer-using-bert-with-pytorch", "kernel_id": "8666158"}, {"ref": "gauthampughazh/disaster-or-not-plotly-use-tfidf-h2o-ai-automl", "kernel_id": "8136431"}, {"ref": "raviyadavmom/kernel29b867934e", "kernel_id": "8046486"}, {"ref": "yashrandive11/real-or-fake-disaster-tweets-eda-and-prediction", "kernel_id": "8577502"}, {"ref": "anushakarthik1991/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "8541936"}, {"ref": "anushakarthik1991/nlp-with-disaster-tweets-using-bert-starter-0-8372", "kernel_id": "8235285"}, {"ref": "irillit/trying-rnn", "kernel_id": "8404624"}, {"ref": "tarunaggarwal0101/real-or-not-disaster-tweet-using-simple-nlp", "kernel_id": "8896103"}, {"ref": "amackcrane/biterm-topic-model", "kernel_id": "8467405"}, {"ref": "amackcrane/svm-knn", "kernel_id": "8597596"}, {"ref": "amackcrane/spacy-vectors", "kernel_id": "8584585"}, {"ref": "amackcrane/comparing-topic-models-ensembles-messy", "kernel_id": "8561217"}, {"ref": "sahib12/nlp-starter-for-beginners", "kernel_id": "8187909"}, {"ref": "sahib12/document-embedding-techniques", "kernel_id": "8732973"}, {"ref": "bhaskarkishor/nlp-with-fastai", "kernel_id": "8642298"}, {"ref": "dewioktaviani9310/introduction-to-nlp-real-or-not-disaster-tweets", "kernel_id": "8157360"}, {"ref": "itsmeprasanna/nlp-tweet-disaster-getting-started-beginner", "kernel_id": "8659330"}, {"ref": "sagaramu/nlp-disaster-adding-features-and-visualization", "kernel_id": "8079088"}, {"ref": "sagaramu/nlp-using-nltk-voted-classifier", "kernel_id": "8112853"}, {"ref": "eliasgreen/pytorch-cnn-text", "kernel_id": "8089735"}, {"ref": "ellenoize/classification-with-catboost", "kernel_id": "8091866"}, {"ref": "kajolg/real-or-not-using-nlp", "kernel_id": "8878168"}, {"ref": "xucheng19991201/disaster-tweets-basic-naive-bayes-spacy", "kernel_id": "8464594"}, {"ref": "arpcode/naive-bayes-logreg", "kernel_id": "8047636"}, {"ref": "mithleshyadav/real-or-not-multinomialnb", "kernel_id": "8126797"}, {"ref": "somjang/make-wordcloud-with-pre-processing", "kernel_id": "8290949"}, {"ref": "rohanchopra3/real-or-not", "kernel_id": "8071014"}, {"ref": "santhilata/real-or-not-2nd", "kernel_id": "8205626"}, {"ref": "santhilata/simple-run", "kernel_id": "8196867"}, {"ref": "dmitri9149/multilingual-encoder-support-vector-machine", "kernel_id": "8094004"}, {"ref": "dmitri9149/transformer-simple-baseline-model-s", "kernel_id": "8177897"}, {"ref": "dmitri9149/transformer-svm-semantically-identical-tweets", "kernel_id": "8305247"}, {"ref": "idanova/real-or-not-nlp-with-disaster-tweets", "kernel_id": "8105116"}, {"ref": "vaishnavibv/disaster-tweet-classification-logistic-regression", "kernel_id": "8495744"}, {"ref": "nickteim/simpel-disaster-tweets-nlp", "kernel_id": "8331101"}, {"ref": "nickteim/disaster-tweets-nlp-with-fastai", "kernel_id": "8546522"}, {"ref": "aguynextdoor/confidence-analysis-with-elmo-and-bert-models", "kernel_id": "8315473"}, {"ref": "karanrajpal14/kernel35768c4922", "kernel_id": "8244466"}, {"ref": "uoneway/ka-kr-in-hapjeong-v19", "kernel_id": "8543886"}, {"ref": "uoneway/hello-automl", "kernel_id": "8318844"}, {"ref": "sangram185/my-first-nlp", "kernel_id": "8494037"}, {"ref": "preejababu/disaster-tweets-classification-into-real-and-fake", "kernel_id": "8546577"}, {"ref": "preejababu/real-or-not-nlp-with-disaster-tweets-preeja", "kernel_id": "8232373"}, {"ref": "subhashachutha/using-bag-of-words-and-rf", "kernel_id": "8669127"}, {"ref": "alexandrucodrescu/tweet-nlp-cnn", "kernel_id": "8217648"}, {"ref": "send2arijit/nlp-disaster-tweets-analysis-spacy-glove-tf-gru", "kernel_id": "8996837"}, {"ref": "bryankohyh/tweet-disasters", "kernel_id": "8201811"}, {"ref": "balajigupta/disaster-tweet-passive-aggressive-classifier-pca", "kernel_id": "8235254"}, {"ref": "balajigupta/kernel7dd4526252", "kernel_id": "8219450"}, {"ref": "sofieneressifi/nlp-with-disaster-tweets-complete-eda-and-bert", "kernel_id": "8722679"}, {"ref": "amitravikumar/future-sales-predictor", "kernel_id": "8314963"}, {"ref": "denojitnath/tweet-nlp", "kernel_id": "8294577"}, {"ref": "martinhaha/nlp-twitter-disaster", "kernel_id": "8257302"}, {"ref": "reniellechavez/tweets-disaster", "kernel_id": "8043581"}, {"ref": "jvpasp/real-or-not-nlp-with-disaster-tweets", "kernel_id": "8849088"}, {"ref": "roshanrane/nlp-disaster-non-disaster-tweets", "kernel_id": "8332538"}, {"ref": "rsblusd/tf2-0-tutorial0", "kernel_id": "8407773"}, {"ref": "kurtlamon/nlp-disaster-tweets-v2", "kernel_id": "8298826"}, {"ref": "parimalbhoyar25/eda-and-model-nlp", "kernel_id": "8382759"}, {"ref": "preetybhogal/disaster-tweets-classification-lr-and-nb", "kernel_id": "8522418"}, {"ref": "niharrout/kernel4f16cc32eb", "kernel_id": "8700386"}, {"ref": "kojiiwase/rnn-no-1", "kernel_id": "8231323"}, {"ref": "isaneawais/freezed-distillbert-pytorch", "kernel_id": "8352051"}, {"ref": "pratiknaha/kernel2d6bcef648", "kernel_id": "8524217"}, {"ref": "bmfs22/tarefa-3-stefanini", "kernel_id": "8018236"}, {"ref": "ayushsingh5941/tweet-disaster-or-not", "kernel_id": "8134854"}, {"ref": "qianghan/simple-connected-nn-sentiment-analysis", "kernel_id": "8009979"}, {"ref": "diggee/tweet-analysis-from-the-basics", "kernel_id": "8437028"}, {"ref": "arshanaabdullatheef/nlp-twitter-data-naive-bayes", "kernel_id": "8291184"}, {"ref": "sergiouribe10/evaluationofdifferentmodels-lr-k-n-svm", "kernel_id": "8100855"}, {"ref": "sergiouribe10/bert-appliedasgoogle-withoutvaliddata-80-costly", "kernel_id": "8073558"}, {"ref": "sergiouribe10/bert-appliedasgoogle-81-verycostly-3h", "kernel_id": "8048186"}, {"ref": "jugglingsnakeboarder/realornotnlp-bert-use-svm", "kernel_id": "8117354"}, {"ref": "pranitjaiswal4/kernel9d08eb2216", "kernel_id": "8225157"}, {"ref": "jet3spike/tweets-classification", "kernel_id": "8284373"}, {"ref": "magnusbalzer/disaster-tweets-randomforest", "kernel_id": "8280431"}, {"ref": "josevansetiaputra/nlp-tutorial-for-first-timer", "kernel_id": "8714528"}, {"ref": "sirishapelluri/disasters-on-social-media-with-op", "kernel_id": "8087007"}, {"ref": "jinyoungseol/real-or-not-nlp-with-disaster-tweets-v1", "kernel_id": "8172183"}, {"ref": "ruochenchang/kernel5ed82c5423", "kernel_id": "8138643"}, {"ref": "martinkk5575/nlpgettingstarted-naivebayes", "kernel_id": "8951237"}, {"ref": "kirilkuzmin/svm-with-words2vectors-mapping", "kernel_id": "8549087"}, {"ref": "jerodriguezro33/kernel45bc3bcc10", "kernel_id": "8191663"}, {"ref": "quentinsarrazin/bert-on-cleaned-tweets", "kernel_id": "8269168"}, {"ref": "quentinsarrazin/tweets-preprocessing", "kernel_id": "8273185"}, {"ref": "deepbipinbhaipatel/dm-submission-nlp-notebook", "kernel_id": "8241296"}, {"ref": "saeedjassani/data-mining-term-project-1", "kernel_id": "8210475"}, {"ref": "ishitakapur/nlp-real-or-not", "kernel_id": "8166969"}, {"ref": "elisontuscano/kernel4d2056ad65", "kernel_id": "8197000"}, {"ref": "grindsc/fake-nlp", "kernel_id": "8954834"}, {"ref": "darwinwin/disaster-tweets-roberta-with-fastai", "kernel_id": "8089750"}, {"ref": "darwinwin/prediction-automl-tf-lstm-lightgbm", "kernel_id": "8089699"}, {"ref": "sahishna/sahishna-kolluri-1001755147-disaster-tweets", "kernel_id": "8221529"}, {"ref": "abhishekmshinde3097/kernel4cfb893445", "kernel_id": "8196775"}, {"ref": "vadaparthiramani/text-classification-tf-idf-navie-bayes-logistic", "kernel_id": "8390680"}, {"ref": "singhshubhamrana/twitter-tweet-model-for-identifying-real-disaster", "kernel_id": "8385861"}, {"ref": "nguyenduytung/nlp-competition", "kernel_id": "8267972"}, {"ref": "thegreatest13/the-greatest", "kernel_id": "8138976"}, {"ref": "yichenyc/real-or-not-nlp-with-disaster-tweets", "kernel_id": "8183540"}, {"ref": "sushant0307/twitter", "kernel_id": "8278034"}, {"ref": "meet1809/twitter-sentiment-analysis", "kernel_id": "8242286"}, {"ref": "laalan/kernel3790ff9e10", "kernel_id": "8211151"}, {"ref": "manthankumarpatel/kernel6201516241", "kernel_id": "8241048"}, {"ref": "jugalpareshbhaipatel/kernel3082280776", "kernel_id": "8224235"}, {"ref": "deepikalingam/submission-notebook2", "kernel_id": "8241651"}, {"ref": "sameerpvs/wordcount", "kernel_id": "8199127"}, {"ref": "sameerpvs/using-random-forest", "kernel_id": "8243005"}, {"ref": "jobaidulalamboni/boni-nlpproject2", "kernel_id": "8228188"}, {"ref": "mintumiah/nlp-disaster-or-not-disaster", "kernel_id": "8213226"}, {"ref": "rezaetemadiidgahi/data-mining-practice-classifier", "kernel_id": "8172734"}, {"ref": "naveensn100/kernelab09993312", "kernel_id": "8198817"}, {"ref": "baiyu65711/nlp-with-disaster-tweets", "kernel_id": "8503504"}, {"ref": "baiyu65711/nlp-with-disaster-tweets-use-ensemble-and-stacking", "kernel_id": "8526129"}, {"ref": "mcseejee/kernel63bc2f637b", "kernel_id": "8244035"}, {"ref": "krparekh24/predict-twitter-comment-aalysis-using-nlp", "kernel_id": "8988128"}, {"ref": "ananyaroy1011/nlp-techniques-prediction", "kernel_id": "8473434"}, {"ref": "pierreantoinechavet/tweet-nlp-bert-and-keras-tfhub", "kernel_id": "8498771"}, {"ref": "vladzern/real-or-not-nlp", "kernel_id": "8702776"}, {"ref": "ngupta9/svm-aml", "kernel_id": "8729270"}, {"ref": "ioanmaracineanu/nlp-chats-hw", "kernel_id": "8907840"}, {"ref": "kckamojjala/first-nlp-disaster-prediction", "kernel_id": "8711436"}, {"ref": "yoshihikoseki/nlp-getting-started-tutorial", "kernel_id": "8779633"}, {"ref": "ipirez/svm-with-tf-idf", "kernel_id": "8965494"}, {"ref": "cairo43227/nlp-tensorflow-2-with-bert", "kernel_id": "9441735"}, {"ref": "cairo43227/nlp-lstm-with-tensorflow-2", "kernel_id": "9155689"}, {"ref": "raamav/useful-functions-for-text-processing-v2", "kernel_id": "9181914"}, {"ref": "casals90/data-cleaning-and-bert", "kernel_id": "9232064"}, {"ref": "casals90/data-cleaning-and-lda", "kernel_id": "9171130"}, {"ref": "casals90/data-cleaning-and-model-selection", "kernel_id": "9048242"}, {"ref": "rahulvks/knowledge-graphs-information-extraction", "kernel_id": "9257459"}, {"ref": "jaskaransingh/xlnet-fine-tuning-with-pytorch", "kernel_id": "9381886"}, {"ref": "jaskaransingh/bert-fine-tuning-with-pytorch", "kernel_id": "9474004"}, {"ref": "muveex/ist652-final-project", "kernel_id": "9268199"}, {"ref": "gautamv/initial-submission", "kernel_id": "9213434"}, {"ref": "rodsaldanha/tweet-classification", "kernel_id": "9133020"}, {"ref": "jjbuchanan/disaster-tweets-naive-bayes-models", "kernel_id": "9659103"}, {"ref": "jjbuchanan/disaster-tweets-linear-bag-of-words-models", "kernel_id": "9524533"}, {"ref": "jjbuchanan/disaster-tweets-dataset-exploration", "kernel_id": "9523585"}, {"ref": "takanorihasebe/text-cleaning-bert-and-transformer", "kernel_id": "9314873"}, {"ref": "barun2104/transfer-learning-using-tfhub", "kernel_id": "9132740"}, {"ref": "frankyd/tidymodels-with-nlp", "kernel_id": "9690208"}, {"ref": "pratsbhatt/keras-tuner-with-cnn-s-for-efficient-training", "kernel_id": "9874630"}, {"ref": "pratsbhatt/real-or-not-gru-s", "kernel_id": "9875076"}, {"ref": "ishivinal/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "9951194"}, {"ref": "stevengolo/text-classification-using-nn", "kernel_id": "9630150"}, {"ref": "ashutosh111/kernel14611854aa", "kernel_id": "9759936"}, {"ref": "djohn8/disaster-twitter-tweets-solution-modeling", "kernel_id": "9161095"}, {"ref": "alex094495/ist652-final-project", "kernel_id": "9175624"}, {"ref": "sourjatilak/nlp-20", "kernel_id": "9278134"}, {"ref": "sourjatilak/nlp20-1", "kernel_id": "9319470"}, {"ref": "mohamedberrimi/b-lstm-with-soft-attention", "kernel_id": "9876295"}, {"ref": "gomes555/voodoo-accuracy-1-in-r", "kernel_id": "9746252"}, {"ref": "shubh2014shiv/nlp-fake-or-real", "kernel_id": "9638178"}, {"ref": "harshabhat/disaster-tweets-eda", "kernel_id": "9108441"}, {"ref": "abhilash1910/tweet-analysis-eda-cleaning-tsne-glove-tf", "kernel_id": "9005347"}, {"ref": "rim304/first-attempt-at-step-by-step-nlp-model-building", "kernel_id": "9587272"}, {"ref": "vivekpandain/bert-base-uncased-0-8292", "kernel_id": "9614239"}, {"ref": "vivekpandain/bert-by-huggingface", "kernel_id": "9601988"}, {"ref": "vivekpandain/bert-uncased-pytorch-hf", "kernel_id": "9692321"}, {"ref": "vivekpandain/bert-large-uncased-pytorch-0-84969", "kernel_id": "9651932"}, {"ref": "mihirps18/nlp-disaster-tweets-easy-entry-into-bert", "kernel_id": "9138409"}, {"ref": "arbazkhan971/fork-of-skill-classifier-using-ulmfit", "kernel_id": "9353609"}, {"ref": "arbazkhan971/sentiment-analysis-for-beginner-93-accuracy", "kernel_id": "9117758"}, {"ref": "tzq573024071/nlp-eda-bag-of-words-tf-idf-glove-bert", "kernel_id": "9851367"}, {"ref": "tzq573024071/kernel1f71b92e2d", "kernel_id": "9787945"}, {"ref": "vaibhav2730/kernel7fe934e213", "kernel_id": "9469253"}, {"ref": "vaibhav2730/kernel56a7ec7693", "kernel_id": "9566233"}, {"ref": "vpkprasanna/base-bert-model-with-tesnsorflow-hub", "kernel_id": "9626174"}, {"ref": "vpkprasanna/tweet-classifier-bert-fastai", "kernel_id": "9353672"}, {"ref": "chihyanghsu/real-or-not-nlp-with-disaster-tweets", "kernel_id": "9369529"}, {"ref": "sunnyville01/real-or-not-tensorflow-with-glove", "kernel_id": "9076324"}, {"ref": "sunnyville01/real-or-not-sklearn-solution", "kernel_id": "9044805"}, {"ref": "sunnyville01/real-or-not-tensorflow-with-bert-2", "kernel_id": "9144664"}, {"ref": "benyaengineering/svm-for-nlp1", "kernel_id": "9307480"}, {"ref": "harshpat/getting-started-with-nlp-a-general-intro", "kernel_id": "9221309"}, {"ref": "rishabhgarg1023/nlp-with-disaster-tweets", "kernel_id": "9447545"}, {"ref": "henryascend/bert-henry", "kernel_id": "9103967"}, {"ref": "henryascend/shiba-innu-of-bert-henry", "kernel_id": "9121412"}, {"ref": "damianusdeni/p5-real-or-not-nlp-with-disaster-tweets", "kernel_id": "9660809"}, {"ref": "niduttnb/fake-tweet-bert", "kernel_id": "9124123"}, {"ref": "flygirl/real-or-not-tweets-sequence-model", "kernel_id": "9080476"}, {"ref": "starkking07/roberta-classifier", "kernel_id": "9251054"}, {"ref": "starkking07/superfast-tpu-training-and-inference", "kernel_id": "9381108"}, {"ref": "mastmustu/lstm-on-disaster-tweets", "kernel_id": "9183146"}, {"ref": "wood0pecker1/xlnet-huggingface-transformers", "kernel_id": "9343183"}, {"ref": "ravijoe/intro-to-keras-embeddings-using-tensorflow", "kernel_id": "9575776"}, {"ref": "timorf/multinominalnb-and-additional-features", "kernel_id": "9684681"}, {"ref": "narenvivek08/lstm-nlp-disaster", "kernel_id": "9727494"}, {"ref": "ambityga/disaster-tweets-bert-tf2-0", "kernel_id": "9267559"}, {"ref": "parikshitag/kernel1dbdd44747", "kernel_id": "9491697"}, {"ref": "ssaketh97/disaster-data-viz-and-predict-using-nlptechniques", "kernel_id": "9246071"}, {"ref": "littleraj30/how-to-train-your-bert-model-huggingface", "kernel_id": "9516555"}, {"ref": "deepakd14/all-models-compared-tf-id-glove-bert-tfhub", "kernel_id": "9642504"}, {"ref": "prayankkul/real-or-not-tweets-eda-visual-bert-base-uncase", "kernel_id": "9363714"}, {"ref": "aneeshkulkarni98/real-or-not-nlp-with-disaster-tweets", "kernel_id": "9081345"}, {"ref": "aashishpotnuru/disaster-tweets-nlp", "kernel_id": "9332907"}, {"ref": "pawan2905/real-or-not-nlp-disaster-tweets", "kernel_id": "9818559"}, {"ref": "jonathanbesomi/kaggle-nlp-datasets", "kernel_id": "9241045"}, {"ref": "adityagupta008/real-or-fake-disaster-analysis", "kernel_id": "9546557"}, {"ref": "yzou46/lstm-model", "kernel_id": "9159691"}, {"ref": "mattbast/rnn-and-nlp-detect-a-disaster-in-tweets", "kernel_id": "9193361"}, {"ref": "mercury01/twitter-catastrophe", "kernel_id": "9048386"}, {"ref": "karthikvkannan/basic-nlp-text-classification-using-ml", "kernel_id": "9565889"}, {"ref": "swannnn/predict-disasters-from-tweets", "kernel_id": "9883859"}, {"ref": "timgibson/moving-from-scikit-learn-to-transformers", "kernel_id": "9519732"}, {"ref": "vikrantrajput7/data-pre-processing-exploratory-data-analysis", "kernel_id": "9195060"}, {"ref": "herambrai/kernel-hr-nlp-disaster-tweet", "kernel_id": "9358390"}, {"ref": "ankitog/nlp-eda-tf-idf-basic-model", "kernel_id": "9231254"}, {"ref": "janvichokshi/bert-with-spacy", "kernel_id": "9190521"}, {"ref": "balogi85/real-or-not-lstm-keras", "kernel_id": "9427017"}, {"ref": "mtaczynski/why-scenario-2-better-than-scenario-1", "kernel_id": "9234029"}, {"ref": "soham1024/all-avaialable-visualizations", "kernel_id": "9351975"}, {"ref": "pettersoderlund/nltk-stemming-and-stopwords", "kernel_id": "9168429"}, {"ref": "valik17666/nlp-eda-bag-of-words-tf-idf-glove-bert", "kernel_id": "9490971"}, {"ref": "jaskarancr/word2vec-traditional-models", "kernel_id": "9632540"}, {"ref": "sasharadeckiy/nlp-eda-bag-of-words", "kernel_id": "9262244"}, {"ref": "ottosjhlm/aza-disaster-tweets", "kernel_id": "9155667"}, {"ref": "mikeaalv/bert-huggingface-pytorch", "kernel_id": "9141654"}, {"ref": "dwayne99/nlp-tweets", "kernel_id": "9152499"}, {"ref": "nigamarnav98/glove-implementation", "kernel_id": "9902328"}, {"ref": "andvor/bow-vs-tf-idf-with-simple-logistic-regression", "kernel_id": "9354941"}, {"ref": "gb00000/disaster-sklearn", "kernel_id": "9087560"}, {"ref": "gb00000/disaster-bert", "kernel_id": "9874991"}, {"ref": "valadares/predictions-tweets-real-disasters-or-not-real", "kernel_id": "9802584"}, {"ref": "soumyajit4419/identifying-real-or-not-using-disaster-tweet-nlp", "kernel_id": "9003572"}, {"ref": "anjanakummari/real-or-not-random-forest-model-with-grid-search", "kernel_id": "9613855"}, {"ref": "yadavhimanshu/prediction-nlp", "kernel_id": "9055606"}, {"ref": "iamsdt/nlp-eda-flair", "kernel_id": "9984035"}, {"ref": "souravkgoyal/nlp-eda-glove-bilstm-ngrams", "kernel_id": "9534064"}, {"ref": "kagglebrun/svm-with-tf-idf", "kernel_id": "9719334"}, {"ref": "kwatanwa/nlp-twitter", "kernel_id": "9975116"}, {"ref": "mehdislim01/simple-yet-efficient-spacy-lightgbm-combination", "kernel_id": "9575956"}, {"ref": "xiu0714/very-simple-svm-to-reach-0-82", "kernel_id": "9486167"}, {"ref": "xiu0714/keras-bert-blender-to-reach-0-84", "kernel_id": "9600885"}, {"ref": "imdevanshib17/disaster-tweets-detector-challenge", "kernel_id": "9645691"}, {"ref": "heyytanay/fake-tweet-classification-eda", "kernel_id": "9641083"}, {"ref": "chernandeznet/twitter-sentiment", "kernel_id": "9066965"}, {"ref": "cristache/prepocessing-tf-idf-svm", "kernel_id": "9030810"}, {"ref": "ahmedattia143/nlp-disaster-pytorch-bert-kfold", "kernel_id": "9423889"}, {"ref": "dhruv1234/pre-trained-glove", "kernel_id": "9155589"}, {"ref": "dhruv1234/huggingface-tfbertmodel", "kernel_id": "9543040"}, {"ref": "manasmohapatra1998/disaster-prediction-from-tweets-using-nlp", "kernel_id": "9055175"}, {"ref": "tabarkarajab/using-nlp-predict-the-real-or-not-disaster-tweets", "kernel_id": "9298815"}, {"ref": "jyotiprasadpal/nlp-getting-started-with-nlp-a-general-intro", "kernel_id": "9465653"}, {"ref": "jyotiprasadpal/nlp-getting-started-with-nlp-feature-vectors", "kernel_id": "9465663"}, {"ref": "fredthered2/real-or-not-nlp-with-disaster-tweets", "kernel_id": "9085111"}, {"ref": "fluxqubit/ron-nlp", "kernel_id": "9084089"}, {"ref": "sagar7390/nlp-on-disaster-tweets-eda-glove-bert-using-tfhub", "kernel_id": "9680871"}, {"ref": "bernardeai/nlp-multinomial-naive-bayes-with-lgbm", "kernel_id": "9542760"}, {"ref": "ankitraj06/kernel6cace0e53b", "kernel_id": "9720402"}, {"ref": "yotambraun124/use-nlp", "kernel_id": "9241203"}, {"ref": "vaishnavibv/tweet-classification", "kernel_id": "9751071"}, {"ref": "fmitchell259/disaster-tweets-naive-bayes-svm-rnn", "kernel_id": "9375682"}, {"ref": "layahaasini/nlp-disaster-detection-project", "kernel_id": "9447827"}, {"ref": "wangzhuwei19961016/simple-keras-nlp", "kernel_id": "9584493"}, {"ref": "preejababu/tweet-classification", "kernel_id": "9305567"}, {"ref": "sumitwizarddas/twitter-nlp-disaster-prediction", "kernel_id": "9625810"}, {"ref": "timothymulenga/twitter-nlp-fastai", "kernel_id": "9912842"}, {"ref": "mustapha1920/natural-language-processing-with-disaster-tweets", "kernel_id": "9578624"}, {"ref": "swapnilwagh061993/nlp-disaster-tweets", "kernel_id": "9211691"}, {"ref": "danoozy44/disaster-tweets-nlp-for-beginners", "kernel_id": "9869475"}, {"ref": "medhinishetty/nlp-beginner", "kernel_id": "9238453"}, {"ref": "saimanojakondi/roberta-for-fake-or-real-challenge", "kernel_id": "9643174"}, {"ref": "anshagrawal93/twitter-prediction", "kernel_id": "9171532"}, {"ref": "danielbilitewski/bag-of-words-and-naive-bayes", "kernel_id": "9572554"}, {"ref": "danielbilitewski/word2vec-and-logistic-regression", "kernel_id": "9591627"}, {"ref": "hammadalibaig/nlp-term-project", "kernel_id": "9365094"}, {"ref": "gershinenshanding/kernelb4c6a5645d", "kernel_id": "9234684"}, {"ref": "rakkaalhazimi/nlp-disaster-classification", "kernel_id": "9148670"}, {"ref": "urayukitaka/predict-classification-tweets-real-or-not", "kernel_id": "9467068"}, {"ref": "pranjal3230/nlp-disaster-tweets-tensorflow2-0", "kernel_id": "9081767"}, {"ref": "kategera06/comparing-countvectorizer-and-external-word2vec", "kernel_id": "9241753"}, {"ref": "saishreddykomalla/nlp-t1", "kernel_id": "9279403"}, {"ref": "srivastava09/realornottwitterdisasterprediction", "kernel_id": "9652745"}, {"ref": "pranaysalunke/real-or-not", "kernel_id": "9528034"}, {"ref": "owenbezick/predicting-disaster", "kernel_id": "9252852"}, {"ref": "dhruv36/real-or-not", "kernel_id": "9464482"}, {"ref": "jswxhd/keras-tensorflow-sklearn-bert", "kernel_id": "9998024"}, {"ref": "andreigor08/disastertweets-andreigor", "kernel_id": "9998705"}, {"ref": "lilstarboy/pig-budt758b-project-notebook", "kernel_id": "9281377"}, {"ref": "shivamburnwal/real-or-fake-disaster-for-newbie-s", "kernel_id": "9336239"}, {"ref": "fakhrezasoerono/disaster-tweets-nltk-and-keras", "kernel_id": "9166181"}, {"ref": "felixhaba/nlp-hello-world", "kernel_id": "9258819"}, {"ref": "nikithasrikanth/disaster-tweets-classification", "kernel_id": "9320835"}, {"ref": "ajjgabriel/nlp-disaster-prediction", "kernel_id": "9882869"}, {"ref": "surpraka/kernel7a74f33b77", "kernel_id": "9616011"}, {"ref": "selcukwashere/sel-uk-z-disaster-in-tweets-with-nlp", "kernel_id": "9288880"}, {"ref": "mustang007/npl-kaggle-competion", "kernel_id": "9987728"}, {"ref": "aishwaryapalit/nlp-with-eda-cleaning-bert", "kernel_id": "9889669"}, {"ref": "maximilianblacher/real-or-not-nlp-with-disaster-tweets", "kernel_id": "9408840"}, {"ref": "sachinssingh/real-of-fake-tweets-classification-bert", "kernel_id": "9077550"}, {"ref": "dilyanpenev/realdisaster", "kernel_id": "9169773"}, {"ref": "swatisk2702/disaster-prediction-using-tweets", "kernel_id": "9810305"}, {"ref": "siddhartamukherjee/disaster-prediction-real-or-not", "kernel_id": "9414833"}, {"ref": "alincijov/nlp-emergency-naive-bayes-numpy-from-scratch", "kernel_id": "9270394"}, {"ref": "alincijov/block-of-text-lstm-numpy-from-scratch", "kernel_id": "9467478"}, {"ref": "aadityasinghal/disaster-tweet-prediction-using-bidirectional-lstm", "kernel_id": "9281243"}, {"ref": "bryanafreeman/disaster-tweets-with-nlp", "kernel_id": "9715937"}, {"ref": "alexandretran74/kernel168730fb2e", "kernel_id": "9572147"}, {"ref": "alexandretran74/kernel229dccf2f5-a1fab3", "kernel_id": "9282586"}, {"ref": "colinnicotina/disaster-prediction", "kernel_id": "9872535"}, {"ref": "tanjuska/kernel5d11a52a51", "kernel_id": "9278665"}, {"ref": "ishananuranga/lowcodeml-tweet-classification-in-few-code-lines", "kernel_id": "9994462"}, {"ref": "abdullahhaxsh/nlp-for-text-classification", "kernel_id": "9540187"}, {"ref": "ginelledsouza/tweet-predictor", "kernel_id": "9819922"}, {"ref": "ankosk/3i0203-ui1-nlp-akovac", "kernel_id": "9477433"}, {"ref": "dhiachebbi33/kernel389aa65b26", "kernel_id": "9578797"}, {"ref": "cloud912/tweet", "kernel_id": "9932300"}, {"ref": "cloud912/tweaking-the-tweets-with-word2vec", "kernel_id": "9910708"}, {"ref": "utcarshagrawal/nlp-model-the-easiest-way", "kernel_id": "9991788"}, {"ref": "abhimanyusethi/disaster-tweets", "kernel_id": "9901967"}, {"ref": "abhilashynaik/spsml", "kernel_id": "9991281"}, {"ref": "joswin/bert-cross-validation", "kernel_id": "10870309"}, {"ref": "joswin/pytorch-models-try", "kernel_id": "10967380"}, {"ref": "joswin/bert-try", "kernel_id": "10773732"}, {"ref": "shrikantkulkarni/real-or-fake-tweets", "kernel_id": "10541799"}, {"ref": "zzaibis/nlp-for-disaster-tweets", "kernel_id": "10876356"}, {"ref": "goutham794/distill-bert-fine-tuning-huggingface-and-pytorch", "kernel_id": "10373224"}, {"ref": "paul91v/intro-to-nlp", "kernel_id": "10735276"}, {"ref": "skirmer/kernel7ddbd90662", "kernel_id": "10242827"}, {"ref": "herwinvw/explorativeanalysis", "kernel_id": "10925708"}, {"ref": "socathie/glove-embeddings-sentence-classification", "kernel_id": "10834226"}, {"ref": "wburchenal/nlp-disaster-tweet-prediction", "kernel_id": "10777292"}, {"ref": "manjeetsingh/how-to-start-with-natural-language-processing", "kernel_id": "10281703"}, {"ref": "ishivinal/bert-question-answer-pre-trained-model-with-tf", "kernel_id": "10385297"}, {"ref": "floevan/nlp-with-disaster-tweet", "kernel_id": "10706368"}, {"ref": "machinemonk/80-nlp-disastrous-tweet-detection-using-glove", "kernel_id": "10340126"}, {"ref": "aditya08/twitter-sentiment-bert-finetuning", "kernel_id": "10984305"}, {"ref": "aditya08/twittersentiment-nbsvm-optuna-hyperparam-tuning", "kernel_id": "10981838"}, {"ref": "pranavkasela/bert-vs-spark-nlp-use-embeddings", "kernel_id": "10364674"}, {"ref": "brandog/disaster-tweet-nlp-fastaiv1-wikitext-103", "kernel_id": "10181032"}, {"ref": "harish3110/introduction-to-nlp-using-fastai2-and-ulmfit", "kernel_id": "10377198"}, {"ref": "sambitmukherjee/lexicon-based-sentiment-analysis-without-ml", "kernel_id": "10469109"}, {"ref": "tbass134/sklearn-model", "kernel_id": "10440945"}, {"ref": "longtng/real-or-not-nlp-disaster-tweets-draft", "kernel_id": "10424705"}, {"ref": "iampraveeniyer/nlp-with-disaster-tweets-v1", "kernel_id": "10744243"}, {"ref": "funxexcel/using-text-hero-to-clean-tweets", "kernel_id": "10573472"}, {"ref": "vpkprasanna/bert-model-using-pytorch", "kernel_id": "10343634"}, {"ref": "akashkr/tf-keras-tutorial-bi-lstm-glove-gru-part-6", "kernel_id": "10622999"}, {"ref": "akashkr/tf-keras-tutorial-basics-of-nlp-part-5", "kernel_id": "10506067"}, {"ref": "atrisaxena/disaster-tweets-eda-tfidf-glove-bert", "kernel_id": "10997615"}, {"ref": "saraivaufc/real-or-not-using-lstm-for-disaster-tweets", "kernel_id": "10214391"}, {"ref": "vetka925/logreg-with-supervised-tf-idf-fnn-cnn-bert", "kernel_id": "10914346"}, {"ref": "damianusdeni/sentiment-analysis-indonesian-president-candidate", "kernel_id": "10293476"}, {"ref": "alphadraco/analysing-data", "kernel_id": "10870827"}, {"ref": "mohitduklan/step-by-step-nothing-else", "kernel_id": "10500810"}, {"ref": "shruticode/disaster-classification-tryout-different-models", "kernel_id": "10436776"}, {"ref": "nandhuelan/nlp-augmentation-bert", "kernel_id": "10682415"}, {"ref": "niwanshu29/real-or-not", "kernel_id": "10508504"}, {"ref": "kaushalk/real-and-fake-tweet-nlp-eda-bof-td-idf-glove", "kernel_id": "10193562"}, {"ref": "vbmokin/real-or-not-supershort-nlp-classification-nb", "kernel_id": "10879039"}, {"ref": "vbmokin/nlp-with-disaster-tweets-eda-and-cleaning-data", "kernel_id": "10633360"}, {"ref": "vbmokin/supershort-nlp-classification-notebook", "kernel_id": "10640552"}, {"ref": "vbmokin/nlp-with-dt-simple-transformers-research", "kernel_id": "10587768"}, {"ref": "srinivasat16/naive-bayes-classifier-1", "kernel_id": "10572364"}, {"ref": "ramitsharma1994/real-or-not-nlp-twitter-data", "kernel_id": "10145302"}, {"ref": "revs96/text-classification-without-data-cleaning", "kernel_id": "10448436"}, {"ref": "ghanender/nlp-eda-geoanalytics-reversegeocoding-textanalytic", "kernel_id": "10869674"}, {"ref": "shikhar1617/disaster-or-not", "kernel_id": "10987603"}, {"ref": "limyunjie1999/nlp-with-disaster-tweets", "kernel_id": "10689000"}, {"ref": "abhisingh1/nlp-disaster-prediction1", "kernel_id": "10645443"}, {"ref": "yingxuhe/identify-disaster-tweets", "kernel_id": "10242017"}, {"ref": "jaishanker/tweet-classification-using-cnn", "kernel_id": "10968045"}, {"ref": "jaishanker/fundamental-model-training", "kernel_id": "10835148"}, {"ref": "chetanambi/nlp-with-disaster-tweets-simple-transformers", "kernel_id": "10486275"}, {"ref": "tadiuz/real-or-not-universal-sentence-encoder", "kernel_id": "10784248"}, {"ref": "kshtijroy/real-or-fake", "kernel_id": "10456252"}, {"ref": "vstepanenko/guide-on-creating-a-custom-dataset-from-twitter", "kernel_id": "10475764"}, {"ref": "apresswala52/classifying-disaster-tweets-top-30", "kernel_id": "10751612"}, {"ref": "ambityga/disastrous-pytorch", "kernel_id": "10770172"}, {"ref": "ambityga/lets-go-traditional-booooooo-bert", "kernel_id": "10758120"}, {"ref": "pkseeg/tom-parker-nlp-disaster", "kernel_id": "10842529"}, {"ref": "hkubra/real-or-not", "kernel_id": "10504037"}, {"ref": "harshaggarwal7/disaster-tweet-eda-tfidf-bag-of-words", "kernel_id": "10573285"}, {"ref": "hoangpham51/text-classification-pytorch-torchtext-lstm", "kernel_id": "10157262"}, {"ref": "hoangpham51/attention-pytorch", "kernel_id": "10172026"}, {"ref": "pawan2905/real-or-not", "kernel_id": "10626746"}, {"ref": "ekta97/disaster-tweets-nlp", "kernel_id": "10265764"}, {"ref": "pablomarino/from-shallow-learning-to-2020-sota-gpt-2-roberta", "kernel_id": "10688434"}, {"ref": "renjithrrkj/real-or-not-nlp-a-beginers-approach", "kernel_id": "10791920"}, {"ref": "ijoydeepsil/my-nlp-with-disaster-tweets", "kernel_id": "10753277"}, {"ref": "vibeeshk/tweet-prediction-real-or-not-nlp-with-disaster", "kernel_id": "10325413"}, {"ref": "moezabid/disaster-tweets-nlp", "kernel_id": "10576636"}, {"ref": "desaivaibhav1995/nlp-with-disaster-tweets-mnb-rnn-lstm", "kernel_id": "10482732"}, {"ref": "davidkt2/twitter-nlp-eda-and-model-fit", "kernel_id": "10803155"}, {"ref": "abhishekch005/disaster-nlp-hustlers", "kernel_id": "10219697"}, {"ref": "kbrajwani/bert-classifier", "kernel_id": "10136165"}, {"ref": "kbambardekar/nlp-walkthrough", "kernel_id": "10722073"}, {"ref": "indronil2489/nlp-disaster", "kernel_id": "10542471"}, {"ref": "sokolheavy/multi-dropout-aug-oof", "kernel_id": "10817978"}, {"ref": "rahulharlalka/real-or-not-nlp-from-disaster", "kernel_id": "10018273"}, {"ref": "srjony/roberta-based-model-starting-kernel", "kernel_id": "10225902"}, {"ref": "sainathkrothapalli/nlp-visualisation-guide", "kernel_id": "10515065"}, {"ref": "sainathkrothapalli/beginners-approach-to-nlp-problems", "kernel_id": "10438313"}, {"ref": "gordotron85/nlp-text-classification-linear-models-vs-bert", "kernel_id": "10644856"}, {"ref": "daksh15/baseline-model-to-classify-tweets", "kernel_id": "10200140"}, {"ref": "jaygala24/sentiment-analysis-for-disaster-tweets-beginner", "kernel_id": "10979017"}, {"ref": "jagadeesh23/disaster-tweet-classifier", "kernel_id": "10807669"}, {"ref": "jaketuricchi/first-attempt-eda-mining-sentiments-prediction", "kernel_id": "10078691"}, {"ref": "kushagra2jindal/kernel77db1d6231", "kernel_id": "10864150"}, {"ref": "fstcap/twitter-transorfromer", "kernel_id": "10637925"}, {"ref": "maya01/disaster-tweets", "kernel_id": "10796315"}, {"ref": "matiasloiseau/nlp-getting-started-tutorial", "kernel_id": "10582791"}, {"ref": "matiasloiseau/cnn-and-lstm", "kernel_id": "10600698"}, {"ref": "arunima24/using-lstm-embedding-layer", "kernel_id": "10218294"}, {"ref": "erinfolami/real-or-not-nlp-with-disaster-tweets", "kernel_id": "10897356"}, {"ref": "sawans/simplest-nlp-data-cleaning-and-logistic-regression", "kernel_id": "10236399"}, {"ref": "sawans/nlp-for-disaster-tweets-with-lstm", "kernel_id": "10248251"}, {"ref": "sawans/disaster-tweets-using-bert", "kernel_id": "10329500"}, {"ref": "leblanc03/quick-look-disaster-tweets-simpletransformers", "kernel_id": "10517929"}, {"ref": "zaber666/getting-started-with-pytorch-roberta", "kernel_id": "10334439"}, {"ref": "zaber666/data-augmentation-with-nltk-data-cleaning", "kernel_id": "10331617"}, {"ref": "hiropi/kernel4fa05fbe4d", "kernel_id": "10878074"}, {"ref": "dks2000/disaster-tweets", "kernel_id": "10482510"}, {"ref": "shubham10i/real-or-not-nlp-with-disaster-tweets", "kernel_id": "10419723"}, {"ref": "saurah403/disaster-pred-infer-train-pipeline-bert-pytorch", "kernel_id": "10897601"}, {"ref": "udhhav/disasterornot", "kernel_id": "10177290"}, {"ref": "timurkurmangozhin/keras-lstm-acc-80", "kernel_id": "10590824"}, {"ref": "avigupta2612/sentiment-analysis-using-bert", "kernel_id": "10857169"}, {"ref": "iammanpreet/let-s-have-some-fun-comaprision-of-gru-lstm-conv", "kernel_id": "10519380"}, {"ref": "forwet/tensorflow-model-with-bidirectional-lstms", "kernel_id": "10055769"}, {"ref": "bhatvikas/nlp-disaster", "kernel_id": "10965453"}, {"ref": "deepakat002/lstm-and-gru-models", "kernel_id": "10705289"}, {"ref": "aniket7/disaster-classification-from-text-ml-algorithms", "kernel_id": "10678683"}, {"ref": "diasctiago/real-or-not-nlp-with-disaster-tweets-td", "kernel_id": "10453192"}, {"ref": "doanquanvietnamca/multi-dropout-kfold-with-roberta-on-gpu", "kernel_id": "10467786"}, {"ref": "doanquanvietnamca/nlp-with-multisample-dropout-t5-finetuning", "kernel_id": "10504123"}, {"ref": "doanquanvietnamca/transformer-to-get-1-lb", "kernel_id": "10544021"}, {"ref": "pradheeprio/nlp-using-bag-of-words-simple-way", "kernel_id": "10663426"}, {"ref": "apollo2506/nlp-first-draft", "kernel_id": "10581822"}, {"ref": "pratx557/nlp-on-distaster-dataset", "kernel_id": "10973914"}, {"ref": "thalesbruno/nlp-getting-started-tutorial-top-38", "kernel_id": "10740424"}, {"ref": "sebastianji/sentiment-analysis-bert", "kernel_id": "10136412"}, {"ref": "biowowow/bert-disaster-tweets", "kernel_id": "10243044"}, {"ref": "mitramir5/nlp-visualization-eda-glove", "kernel_id": "10251147"}, {"ref": "jmisra08/tensorflow-hub", "kernel_id": "10452503"}, {"ref": "raj26000/tweet-classification-with-bi-lstm", "kernel_id": "10105619"}, {"ref": "vchauhanusf/real-or-fake-disaster-tweets", "kernel_id": "10728893"}, {"ref": "chinmaymaganur/first-nlp-kaggle-tweet-disaster-79", "kernel_id": "10737409"}, {"ref": "ankitsingh21/nlp-using-bert-gpu", "kernel_id": "10427165"}, {"ref": "divyadevadas/nlp-tweet-bert-roberta-eda-tensorflow-pytorch", "kernel_id": "10751069"}, {"ref": "parkyounghun/kerneld708a284f3", "kernel_id": "10894948"}, {"ref": "antongolubev5/absa-bert-pair-model-nli", "kernel_id": "10194303"}, {"ref": "gneshkaggle/bag-of-words-and-glove", "kernel_id": "10785459"}, {"ref": "dereckjos/kernel6ddf70e45e", "kernel_id": "10560946"}, {"ref": "jianweitang/nlp-with-disaster-tweets-eda", "kernel_id": "10536449"}, {"ref": "rahulvv/bidirectional-lstm-glove200d", "kernel_id": "10252326"}, {"ref": "salls123/simple-lstm-binary-classification", "kernel_id": "10746174"}, {"ref": "alexandertesemnikov/bert-pytorch-pretrained-fine-tuning", "kernel_id": "10709840"}, {"ref": "anishghiya/disaster-bert", "kernel_id": "10983720"}, {"ref": "sinfini8/nlp-classification", "kernel_id": "10726776"}, {"ref": "jonwolgamott/tutut", "kernel_id": "10760267"}, {"ref": "imakaruamikurah/real-or-not-gru-lstm-glove-text-cleaning", "kernel_id": "10491856"}, {"ref": "mahmoodhoseini/nlp-spacy-stat-modeling", "kernel_id": "10859158"}, {"ref": "mahmoodhoseini/nlp-simple-text-classification-glove", "kernel_id": "10857033"}, {"ref": "oribein/ori-bein-nlp-real-or-not", "kernel_id": "10493746"}, {"ref": "rarityrings/disaster-tweets-classification", "kernel_id": "10745964"}, {"ref": "ananysharma/nlp-with-disaster-tweets", "kernel_id": "10485288"}, {"ref": "tuckerarrants/disaster-tweets-eda-glove-rnns-bert", "kernel_id": "10038839"}, {"ref": "tuckerarrants/bert-with-huggingface-transformers", "kernel_id": "10944529"}, {"ref": "akhilkasare/prediction-fake-or-not-nlp", "kernel_id": "10271792"}, {"ref": "muhammedabdulazeem/real-and-fake-tweets-with-maximum-f1-score", "kernel_id": "10177994"}, {"ref": "qilinchu/nlp-with-disaster-tweets-prediction-bert", "kernel_id": "10584535"}, {"ref": "rohan300557/disaster-real-fake", "kernel_id": "10522415"}, {"ref": "ankityadav98/real-or-not-tensorflow-lstm-glove", "kernel_id": "10574104"}, {"ref": "mohitnagarkoti/implemented-nnetwork-using-real-or-not-real-datase", "kernel_id": "10716860"}, {"ref": "dariarychkova/81-24-voting-clf", "kernel_id": "10831091"}, {"ref": "dibyapatra/kernel5544dfc373", "kernel_id": "10697933"}, {"ref": "shivleon/real-or-not-analysis", "kernel_id": "10592431"}, {"ref": "arthurdimitri/eda-cleaning-glove-dl-0-808-score", "kernel_id": "10060715"}, {"ref": "naureenmohammad/nlp-on-disaster-tweet-final", "kernel_id": "10886290"}, {"ref": "zeeniye/nlp-tweet-disaster", "kernel_id": "10262679"}, {"ref": "raghulsenthilkumar/kernel70a5be9121", "kernel_id": "10232749"}, {"ref": "datafan07/disaster-tweets-nlp-eda-bert-with-transformers", "kernel_id": "10087696"}, {"ref": "erenalar/lietw", "kernel_id": "10614872"}, {"ref": "jswxhd/ml-svm-nltk-preprocessing-keyword", "kernel_id": "10103840"}, {"ref": "singhabhiiitkgp/disaster-tweets", "kernel_id": "10486420"}, {"ref": "jinaghosh/comp-2", "kernel_id": "10756842"}, {"ref": "nidhaypancholi/real-disaster-or-not", "kernel_id": "10917599"}, {"ref": "davidblumenstiel/disaster-or-not-nlp", "kernel_id": "10922401"}, {"ref": "atharvaj77/beginner-s-disaster-classification-using-lstm", "kernel_id": "10967214"}, {"ref": "namansood/disaster-tweet-recognition-nlp", "kernel_id": "10374766"}, {"ref": "adarshsambare/nlp-with-disaster-tweets-nb-svc", "kernel_id": "10285530"}, {"ref": "oriroval/nlp-tweets-final", "kernel_id": "10419964"}, {"ref": "shirishsharma/nlp-from-embeddings-and-rnns-to-bert", "kernel_id": "10165272"}, {"ref": "sumittak/nlp-feature-modelling", "kernel_id": "10632852"}, {"ref": "makhloufsabir/nlp-disaster-tweets-bertforsequenceclassif", "kernel_id": "10381854"}, {"ref": "sporwal/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "10952237"}, {"ref": "tarit21/disastertweets-nlp", "kernel_id": "10435217"}, {"ref": "ratul6/nlp-80-accuracy", "kernel_id": "10947859"}, {"ref": "yashk07/bag-of-words-disaster-tweet-classifier", "kernel_id": "10993106"}, {"ref": "vishalvanpariya/nlp-for-beginners", "kernel_id": "10628367"}, {"ref": "ginamkee/nlp-and-prediction-real-or-not", "kernel_id": "10533675"}, {"ref": "jakelancaster/nlp-disaster-tweets-quick-tutorial", "kernel_id": "10475181"}, {"ref": "varshinithatiparthi/nlp-getting-started", "kernel_id": "10823766"}, {"ref": "varshinithatiparthi/nlp-team-project", "kernel_id": "10905205"}, {"ref": "joydebmondal/nlp-cheatsheet", "kernel_id": "10070010"}, {"ref": "sachinsharma1123/simple-nlp-model-using-svm", "kernel_id": "10744447"}, {"ref": "rohit0906/nlp-disaster", "kernel_id": "10536833"}, {"ref": "agustnleguizamn/tp2-pre-process-classifiers-stacking", "kernel_id": "10888779"}, {"ref": "mirmahathirmohammad/kaggle-disaster-tweet", "kernel_id": "10144932"}, {"ref": "anuragbantu/stacking-ensemble-learning-beginner-s-guide", "kernel_id": "10950809"}, {"ref": "razamh/basic-eda-cleaning-and-glove", "kernel_id": "10972154"}, {"ref": "jjioni/simple-nlp", "kernel_id": "10817248"}, {"ref": "maksimbahdanchyk/text-preprocessing-worth-or-not", "kernel_id": "10457372"}, {"ref": "stoneroggy/real-or-not-nlp-with-disaster-tweets", "kernel_id": "10684684"}, {"ref": "friskycodeur/nlp-with-disaster-tweets-bert-explained", "kernel_id": "10705123"}, {"ref": "friskycodeur/nlp-w-disaster-tweets-explained", "kernel_id": "10686495"}, {"ref": "lucrecesummer/bert-for-disaster-tweets-classification-kaggle", "kernel_id": "10299082"}, {"ref": "abhimanyubhadauria/tweetv2", "kernel_id": "10092260"}, {"ref": "dibyawantrivedi/first-nlp-project", "kernel_id": "10938026"}, {"ref": "yuritakaki/nlp-01", "kernel_id": "10362714"}, {"ref": "katchupalvarenga/nlp-disaster-tweets-sgdclassifier", "kernel_id": "10472387"}, {"ref": "onurakkse/a-simple-tutorial", "kernel_id": "10397900"}, {"ref": "deepachalapathi/nlp-disaster-tweets", "kernel_id": "10830323"}, {"ref": "deepachalapathi/lstms", "kernel_id": "10897260"}, {"ref": "jacobvoyles/real-or-fake-tweet-machine-learning", "kernel_id": "10669669"}, {"ref": "ruka1718/disaster-tweets-with-nlp", "kernel_id": "10129340"}, {"ref": "rajnathpatel/disaster-tweet-classification-using-bert-lm", "kernel_id": "10503596"}, {"ref": "dataexplore1/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "10445195"}, {"ref": "bulbulbhati/tweets-true-or-not", "kernel_id": "10243132"}, {"ref": "adarshkumarjha/disaster-tweets-real-or-not-a-beginners-approach", "kernel_id": "10929887"}, {"ref": "jiukeem/real-or-not-real", "kernel_id": "10852971"}, {"ref": "maximinjoshua/kernel2702608a49", "kernel_id": "10390092"}, {"ref": "adinishad/nlp-80-accuracy", "kernel_id": "10830110"}, {"ref": "kaggluserjp/kernelc5dbd4458c", "kernel_id": "10670092"}, {"ref": "masagokoji/kernel3edcd96c1b", "kernel_id": "10571336"}, {"ref": "bhaveshgupta3421/nlp-with-disaster-tweets", "kernel_id": "10709376"}, {"ref": "henrywu0718/real-or-not-02", "kernel_id": "10721589"}, {"ref": "baniyamabanio/kernel73b9e09235", "kernel_id": "10569776"}, {"ref": "baniyamabanio/kernel421bd84c13", "kernel_id": "10562175"}, {"ref": "baniyamabanio/kernel421bd84c12", "kernel_id": "10556663"}, {"ref": "yosukehasimoto/real-or-not", "kernel_id": "10589850"}, {"ref": "tatsu88/kernel25eeb93e15", "kernel_id": "10585866"}, {"ref": "canialugroamon/real-or-not-nlp-with-disaster-tweets", "kernel_id": "10726679"}, {"ref": "sodiumlz/real-or-not-02", "kernel_id": "10474150"}, {"ref": "sodiumlz/real-or-not-02-f29b07", "kernel_id": "10967856"}, {"ref": "hirotakakawachi/kernel1b9f62fb43", "kernel_id": "10721032"}, {"ref": "tokudata20g1/kernel2ef5758741", "kernel_id": "10532144"}, {"ref": "martineliaszz/kernel4c0d184d57", "kernel_id": "10345618"}, {"ref": "masudanaoki/kernel429643fd59", "kernel_id": "10589120"}, {"ref": "yumakomoto/kernel58fb589469", "kernel_id": "10554819"}, {"ref": "yumakomoto/fork-of-kernel62555b9134", "kernel_id": "10844129"}, {"ref": "yumakomoto/kernel62555b9134", "kernel_id": "10789191"}, {"ref": "g4team/kernel6452476a77", "kernel_id": "10591691"}, {"ref": "braddyhe/identify-disaster-tweets", "kernel_id": "10466695"}, {"ref": "odasatomi/kernel6f351c3133", "kernel_id": "10589295"}, {"ref": "rishimukunthant/linearsvc-disaster-tweets-classification", "kernel_id": "10844706"}, {"ref": "koreykube/real-or-not-submission", "kernel_id": "10965670"}, {"ref": "flyingboat/only-text", "kernel_id": "10723509"}, {"ref": "ahelmi365/tips-and-tricks-text-data", "kernel_id": "10951039"}, {"ref": "aamirhussain/cheatsheet-text-helper-functions", "kernel_id": "11434432"}, {"ref": "darbin/ka-tweets-nlp-final-7-2-simple-nn-ru", "kernel_id": "11895520"}, {"ref": "darbin/ka-tweets-nlp-final-7-regression-baies-ru", "kernel_id": "11742088"}, {"ref": "georgedittmar/huggingface-tf-2-0-example", "kernel_id": "11027505"}, {"ref": "rmitra/disaster-tweets-classification-using-bert", "kernel_id": "11092956"}, {"ref": "avloss/naive-umap-nearest-neighbour", "kernel_id": "11575483"}, {"ref": "suniljs/naivebayes-classifier-from-sratch-f1-score-78-6", "kernel_id": "11334322"}, {"ref": "usingtc/baseline-with-logisticregression", "kernel_id": "11515660"}, {"ref": "nagsdata/ensemble-of-ridgeregression-models-tfidf", "kernel_id": "11083243"}, {"ref": "shashaalam/text-classification-with-catboost", "kernel_id": "11544726"}, {"ref": "karthickaravindan/simple-text-classifications", "kernel_id": "11451914"}, {"ref": "adityasingh1/nlp-getting-started-tutorial", "kernel_id": "11233931"}, {"ref": "pratsbhatt/keras-tuner-with-bayesian-optimization", "kernel_id": "11199128"}, {"ref": "myonin/custom-word2vec-with-pytorch", "kernel_id": "11259879"}, {"ref": "myonin/custom-tfidf-and-logisticregression-with-pytorch", "kernel_id": "11060823"}, {"ref": "shams1/adkkhn-h-pytorch-baseline-bert", "kernel_id": "11323268"}, {"ref": "shams1/automl-getting-started-notebook", "kernel_id": "11323431"}, {"ref": "shams1/nlp-disaster-tweets", "kernel_id": "11323136"}, {"ref": "hiromi/notebook6aaaa19e50", "kernel_id": "11587672"}, {"ref": "spreusler/fast-ai-x-hugging-face-x-roberta", "kernel_id": "11435837"}, {"ref": "kroxigor/notebook834a8cc28a", "kernel_id": "11180069"}, {"ref": "jeeperscreepers/real-or-not-disaster-tweets", "kernel_id": "11286674"}, {"ref": "mehmettezcan/nlp-scratch", "kernel_id": "11079551"}, {"ref": "willyiamyu/disaster-word-embeddings-svm", "kernel_id": "11527263"}, {"ref": "taurusgourav/nlp-text-preprocessing-on-disaster-tweets", "kernel_id": "11960861"}, {"ref": "wamateusz/disaster-tweets-eda-and-bert-with-huggingface", "kernel_id": "11706589"}, {"ref": "kayademirs/nlp-lr-nb-rf-xgboots", "kernel_id": "11256523"}, {"ref": "raghuansh/twitter-real-or-not-svm-tfidf-76-accuracy", "kernel_id": "11246096"}, {"ref": "shireeshpyreddy/natural-language-processing-with-disaster-tweets", "kernel_id": "11032796"}, {"ref": "hachemsfar/real-or-not-data-clearning-preprocessing", "kernel_id": "11686231"}, {"ref": "malahai/lightgbm-tf-idf-baseline", "kernel_id": "11271397"}, {"ref": "longtng/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "11224718"}, {"ref": "tarun1807/tweets-classification", "kernel_id": "11985148"}, {"ref": "kaushiksuresh147/basic-nlp-approach-to-get-0-8050", "kernel_id": "11276724"}, {"ref": "josutk/ensemble-stack-eda", "kernel_id": "11223376"}, {"ref": "sunnyville01/glove-embeddings-solution-sklearn-custom-class", "kernel_id": "11586295"}, {"ref": "shashwats89/nlp-bert", "kernel_id": "11708530"}, {"ref": "jabernet/notebook264bcf13c1", "kernel_id": "11718636"}, {"ref": "shravanraikar/getting-started-with-nlp-with-tf", "kernel_id": "11077294"}, {"ref": "sachin93/nlp-disaster-prediction-ulmfit", "kernel_id": "11200399"}, {"ref": "sonyrajan/disastertweets", "kernel_id": "11472940"}, {"ref": "gabnaressi/basic-nltk-functions-for-nlp-sample-model", "kernel_id": "11342102"}, {"ref": "mosheziat/the-disasters", "kernel_id": "11015414"}, {"ref": "takanobu0210/baseline-keras-bi-lstm-plot-using-nlplot", "kernel_id": "11645329"}, {"ref": "mastmustu/bidirectional-lstm-with-embedding-layer", "kernel_id": "11741121"}, {"ref": "mastmustu/simple-bert-classification-model-using-torch", "kernel_id": "11852549"}, {"ref": "vithal2311/10-line-code-for-beginners-nlp-disaster-tweets", "kernel_id": "11576067"}, {"ref": "dhirajchandak04/start-with-nlp-bow", "kernel_id": "11983867"}, {"ref": "ssaketh97/prediction-with-pytorch-bilstm-gpu-glove", "kernel_id": "11000995"}, {"ref": "robinmunier/nlp-deep-eda-of-disaster-tweets", "kernel_id": "11545746"}, {"ref": "bercarucostin/nlp-disaster-tweets", "kernel_id": "11542344"}, {"ref": "tsutohan65/real-or-not-nlp-with-disaster-tweets-fastai2", "kernel_id": "11806548"}, {"ref": "pankajg24/prediction-with-basic-tfidf-and-svm-model", "kernel_id": "11131246"}, {"ref": "shaar08/real-or-not-tweet-classification", "kernel_id": "11985216"}, {"ref": "chengham/succinct-baseline", "kernel_id": "11324397"}, {"ref": "hamimshaikh/team-next-genius-submission-nlp-disasters", "kernel_id": "11766120"}, {"ref": "pawan2905/real-or-not-using-bert", "kernel_id": "11291818"}, {"ref": "ismailvanak/simple-logistic-regression-model-with-80-accuracy", "kernel_id": "11973502"}, {"ref": "navneetsajwan/understanding-text-classification-fastai2-ulmfit", "kernel_id": "11833505"}, {"ref": "irinaabdullaeva/tweets-fun-or-disaster-eda-roberta", "kernel_id": "11337021"}, {"ref": "sidart01/nlp-keras-based-model", "kernel_id": "11558574"}, {"ref": "shivam2312/kernel2db201905e", "kernel_id": "11027046"}, {"ref": "yangam/nlp-getting-started", "kernel_id": "11949130"}, {"ref": "sudevansujit/disaster-classifier", "kernel_id": "11919822"}, {"ref": "ozcan15/nlp-disaster-tweets-with-bert", "kernel_id": "11400571"}, {"ref": "ozcan15/nlp-disaster-tweets-with-electra-base", "kernel_id": "11400002"}, {"ref": "agileteam/data-preprocessing-feature-engineering-tutorial", "kernel_id": "11738732"}, {"ref": "srinivasav22/nlp-real-or-not-tweet-using-bert", "kernel_id": "11097986"}, {"ref": "srinivasav22/keras-mlp-real-tweet-or-not", "kernel_id": "11104730"}, {"ref": "srinivasav22/real-or-not-nlp-tweets-predictions", "kernel_id": "11065642"}, {"ref": "srinivasav22/text-preprocessing-and-advanced-functions", "kernel_id": "11491875"}, {"ref": "aryanfaghihi/real-or-not-fastai-2", "kernel_id": "11626635"}, {"ref": "doncovkonstantin/bayes-chooses-the-best-transformer-architecture", "kernel_id": "11309718"}, {"ref": "pawan300/catastrophe", "kernel_id": "11515273"}, {"ref": "hawkgiu/hatespeech-b-tcc", "kernel_id": "11959027"}, {"ref": "emmanuellaanggi/tweet-classification-fasttext-glove-word-embedding", "kernel_id": "11063485"}, {"ref": "mohanraj7/disastertweetclassification", "kernel_id": "11126405"}, {"ref": "averywu/disaster-200912", "kernel_id": "11680667"}, {"ref": "amarananth/gentle-intro-to-lda", "kernel_id": "11169456"}, {"ref": "zeintiz/nlp-bow-tf-idf-glove", "kernel_id": "11592395"}, {"ref": "scpitt/glove-and-bert-concise-and-easy-to-understand", "kernel_id": "11150492"}, {"ref": "georgezakharov/tweet-predictor", "kernel_id": "11469718"}, {"ref": "haripriya04raj/bert-try", "kernel_id": "11106514"}, {"ref": "haripriya04raj/bert-nlp", "kernel_id": "11235970"}, {"ref": "galvaowesley/basic-nlp-eda-tensorflow-real-or-fake-tweets", "kernel_id": "11127042"}, {"ref": "natsudragnoeel/disaster-tweet-real-or-not", "kernel_id": "11021483"}, {"ref": "ellaabung/real-disaster-or-not", "kernel_id": "11919381"}, {"ref": "lucaaslemee/notebook692c7350d1", "kernel_id": "11563241"}, {"ref": "mihirahuja01/logistic-regression-model-baseline-model", "kernel_id": "11293452"}, {"ref": "mihirahuja01/eda-data-cleaning-model", "kernel_id": "11260670"}, {"ref": "mihirahuja01/meta-feature-exploration", "kernel_id": "11259206"}, {"ref": "mihirahuja01/data-exploration", "kernel_id": "11243997"}, {"ref": "jaygala24/sentiment-analysis-using-tensorflow-keras", "kernel_id": "11026123"}, {"ref": "akshat0007/nlp-with-disaster-tweets-using-bert", "kernel_id": "11076985"}, {"ref": "masayakondo/tutorial-bert-classifier-using-pytorch", "kernel_id": "11266841"}, {"ref": "masayakondo/bert-classifier-using-the-last-4-layer-s-cls", "kernel_id": "11272823"}, {"ref": "vanvalkenberg/kernel9f588b9295", "kernel_id": "11125015"}, {"ref": "fstcap/bert-classical", "kernel_id": "11230962"}, {"ref": "abhikbr/lstmembedding", "kernel_id": "11056250"}, {"ref": "wongguoxuan/eda-tf-idf-voting-clfr-disaster-tweets", "kernel_id": "11092846"}, {"ref": "kagglebrun/qbert", "kernel_id": "11439014"}, {"ref": "sdhudan/nlp-disaster-tweets-naive-bayes-score-0-78976", "kernel_id": "11924359"}, {"ref": "vishynair/disaster-tweets-nlp-eda-lexical-tf-idf-bigram-ml", "kernel_id": "11143161"}, {"ref": "hs1592/adkkhn-krj-visualization-v1-0", "kernel_id": "11312990"}, {"ref": "ikechan/bert-with-pytorch-examples", "kernel_id": "11603268"}, {"ref": "pavan9065/nlp-disaster-tweets-with-electra-base", "kernel_id": "11792393"}, {"ref": "mkahraman19/getting-started", "kernel_id": "11892159"}, {"ref": "robbfo/bert-lstm-cnn-to-identify-real-disaster-tweets", "kernel_id": "11184293"}, {"ref": "mithleshyadav/real-or-not-word-embedding", "kernel_id": "11015726"}, {"ref": "drnykterstein/bert-with-tf-hub", "kernel_id": "11963265"}, {"ref": "maziprimareza/sentiment-analysis", "kernel_id": "11896480"}, {"ref": "capsangre/disaster-tweets-word2vec-and-linear-model", "kernel_id": "11831558"}, {"ref": "varunmurthymokarala/sentiment-analysis-on-twitter-data-for-beginners", "kernel_id": "11929350"}, {"ref": "saitej31/nlp-getting-started", "kernel_id": "11387901"}, {"ref": "viswanadthbolla/tweets-data-eda-analysis", "kernel_id": "11397734"}, {"ref": "naim99/disaster-tweets-classification-distilbert-bert", "kernel_id": "11430203"}, {"ref": "naim99/your-first-nlp-competition-submission", "kernel_id": "11178131"}, {"ref": "naim99/disaster-tweets-cnn", "kernel_id": "11240872"}, {"ref": "naim99/tweets-classification-multiples-methods", "kernel_id": "11262091"}, {"ref": "naim99/disaster-tweets-logistic-regression", "kernel_id": "11124139"}, {"ref": "naim99/tweet-classification-with-sgd", "kernel_id": "11102672"}, {"ref": "naim99/text-classificatio-ktrain-keras-bert", "kernel_id": "11951608"}, {"ref": "naim99/text-classification-tf-idf-vs-word2vec-vs-bert", "kernel_id": "11755824"}, {"ref": "mitramir5/simple-bert-with-video", "kernel_id": "11447202"}, {"ref": "musama619/conventional-nlp-steps", "kernel_id": "11554408"}, {"ref": "minhajuddin/nlp-getting", "kernel_id": "11759638"}, {"ref": "nikita171096/real-or-not-nlp-with-disaster-tweets-eda", "kernel_id": "11457387"}, {"ref": "kkhandekar/disaster-tweet-nlp-bi-gru", "kernel_id": "11869856"}, {"ref": "rahuldesai93/nlp-using-ml-and-nn-huggingface-bert-83-6-acc", "kernel_id": "11175189"}, {"ref": "svenjaf/mixed-input-model", "kernel_id": "11402561"}, {"ref": "pankhilprajapati/bert-disaster-classifier", "kernel_id": "11921164"}, {"ref": "pavel1988/disaster-tweets-nlp", "kernel_id": "11896517"}, {"ref": "rog007/nlp-disaster-tweets-using-tf-idf", "kernel_id": "11836764"}, {"ref": "zakaryarouzki/fastai-and-transformers-with-bert-implementation", "kernel_id": "11336555"}, {"ref": "pabloamc/draft-nlp-learning", "kernel_id": "11383714"}, {"ref": "elvinagammed/simple-nlp-keras-90", "kernel_id": "11469945"}, {"ref": "elvinagammed/nlp-eda-bag-of-words-tf-idf-glove-bert", "kernel_id": "11469670"}, {"ref": "akshaydeo/nlp-disaster-tweets", "kernel_id": "11446848"}, {"ref": "haijingli/easy-workflow-management-with-d6tflow", "kernel_id": "11186130"}, {"ref": "sachinkadlimatti/nlp-real-or-not-disaster-prediction", "kernel_id": "11210584"}, {"ref": "irfanmansuri/nlp-with-disaster-tweet", "kernel_id": "11203359"}, {"ref": "tusharkoley1/nlp-with-spacy-dr", "kernel_id": "11466039"}, {"ref": "prakashjiban/nlp-with-feature-engineering", "kernel_id": "11485075"}, {"ref": "prasannavijayakumar/nlp-tweet-classification", "kernel_id": "11200442"}, {"ref": "aman2000jaiswal/real-nlp-disaster-tweets", "kernel_id": "11314223"}, {"ref": "yusufgren/notebookf75d2ff892", "kernel_id": "11253260"}, {"ref": "marcuscheong/disaster-prediction-from-tweets", "kernel_id": "11264027"}, {"ref": "laytsw/nlp-with-keras-fasttext", "kernel_id": "11429820"}, {"ref": "ryanchan911/prediction-on-disaster-tweets-using-bert", "kernel_id": "11570067"}, {"ref": "mansimeena/twitter-disaster-tweets-check-real-or-not", "kernel_id": "11901081"}, {"ref": "princepatel9224/disaster-prediction-via-tweets-real-or-not", "kernel_id": "11275359"}, {"ref": "aczy156/nlp-with-disaster-tweets-eda-data-cleaning", "kernel_id": "11475474"}, {"ref": "aczy156/nlp-with-disaster-tweets-eda", "kernel_id": "11779162"}, {"ref": "maheshpatapalli/nlp-disaster-tweets", "kernel_id": "11750820"}, {"ref": "marktsvirko/spacy-simple-mlp-81-in-5-min", "kernel_id": "11679459"}, {"ref": "frankmollard/nlp-basics-tutorial", "kernel_id": "11162444"}, {"ref": "mohamedfarag96/dl-for-nlp", "kernel_id": "11771713"}, {"ref": "matthewtalia/disaster-tweet-submission", "kernel_id": "11346462"}, {"ref": "ahmetburabua/nlp-with-twitter", "kernel_id": "11277627"}, {"ref": "pranaykankariya/disaster-tweets-nlp-using-keras", "kernel_id": "11566828"}, {"ref": "shahad001/disaster-tweets-with-huggingface-s-bert", "kernel_id": "11091406"}, {"ref": "arunraj777/tweet-prediction-simple-eda-keras", "kernel_id": "11510786"}, {"ref": "sho123/nlp-pred", "kernel_id": "11587903"}, {"ref": "bilalahmedarain/bert-nlp-real-or-not", "kernel_id": "11300873"}, {"ref": "choubane/disaster-tweets-very-simple-lstm-model", "kernel_id": "11365515"}, {"ref": "josephalexander/real-or-not-nlp-with-disaster-tweets", "kernel_id": "11315817"}, {"ref": "iamrahulramesh/real-or-not-sample-learning", "kernel_id": "11610424"}, {"ref": "ujjwalsharma26/nlp-ml-tfidf-svc-and-dl-glove-bilstm-approach", "kernel_id": "11542808"}, {"ref": "ekzemplaro/real-or-not-sep07", "kernel_id": "11583455"}, {"ref": "rsrinivasaraghavan/notebook8fbff622d4", "kernel_id": "11414037"}, {"ref": "lucamoroni/first-nlp-comp", "kernel_id": "11255701"}, {"ref": "vivekpisal/notebookd61fad308b", "kernel_id": "11499630"}, {"ref": "soumyaranjannayak/nlp-rnn", "kernel_id": "11032124"}, {"ref": "lobodemonte/classifying-disaster-tweets", "kernel_id": "11311334"}, {"ref": "kirillklyukvin/fake-tweets-competition-2-0", "kernel_id": "11650837"}, {"ref": "kirillklyukvin/fake-tweets-competition", "kernel_id": "11054490"}, {"ref": "mochfadilr/notebook235916a026", "kernel_id": "11923849"}, {"ref": "sayakpaul/nlp-disaster-tweets-practice", "kernel_id": "11281493"}, {"ref": "thomaskonstantin/disaster-tweets-analysis-and-prediction", "kernel_id": "11957418"}, {"ref": "mayurgoyal/real-or-not", "kernel_id": "11531173"}, {"ref": "taliremennik/is-it-really-a-disaster-tweet-classification", "kernel_id": "11277154"}, {"ref": "amanmishra4yearbtech/getting-started-tweet-classification-xgb-svm", "kernel_id": "11037474"}, {"ref": "amanmishra4yearbtech/keras-bert-using-tfhub-trial", "kernel_id": "11236227"}, {"ref": "rajabhi1/data-analysis-using-pyspark", "kernel_id": "11931600"}, {"ref": "nishanthnarayanan/disaster-tweets-classification", "kernel_id": "11635468"}, {"ref": "kamalkhumar/disaster-tweets-classification-using-spacy", "kernel_id": "11612502"}, {"ref": "dmitryshkadarevich/fake-tweets-detection", "kernel_id": "11081117"}, {"ref": "tolgayakar/nlp-with-disaster-tweets", "kernel_id": "11223233"}, {"ref": "saanai/nlp-getting-started-tutorial", "kernel_id": "11360005"}, {"ref": "saanai/real-or-not-nlp-huggingface-bert-pytorch", "kernel_id": "11594163"}, {"ref": "jamestaylor46/disaster-tweets-nlp-first-attempt", "kernel_id": "11247383"}, {"ref": "raghebbenhamouda611/bert-model-with-pytorch", "kernel_id": "11144404"}, {"ref": "satishgunjal/introduction-to-nlp", "kernel_id": "11850934"}, {"ref": "satishgunjal/tokenization-in-nlp", "kernel_id": "11870210"}, {"ref": "agustnleguizamn/tp2-pre-process-xgboost", "kernel_id": "11057442"}, {"ref": "anuragbantu/target-encoding-beginner-s-guide", "kernel_id": "11048707"}, {"ref": "riverbok/bert-basemodel-with-transformers", "kernel_id": "11573489"}, {"ref": "wzhou007/nlp-with-disaster-tweets", "kernel_id": "11145295"}, {"ref": "alankritamishra/allinonefromlstmtobert", "kernel_id": "11574626"}, {"ref": "gorlevichdaniil/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "11181820"}, {"ref": "oneplustricks/bert-easy-clean-and-modeling-for-tweets", "kernel_id": "11353092"}, {"ref": "aravindka/nlp-getting-started", "kernel_id": "11542061"}, {"ref": "pranav0198/startingwithnlp", "kernel_id": "11194223"}, {"ref": "munjaldesai/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "11706049"}, {"ref": "alexs2020/bert-1024-and-distilbert-comparison", "kernel_id": "11612814"}, {"ref": "yurimuniz/classifying-tweets-step-by-step", "kernel_id": "11004523"}, {"ref": "apadhikari/real-or-not", "kernel_id": "11442247"}, {"ref": "lazrus/basics-of-nltk-and-neural-networks-nlp-on-tweets", "kernel_id": "11920198"}, {"ref": "aakritsinghal/nlp-disaster-relief", "kernel_id": "11324059"}, {"ref": "umaojha/identifying-realdisaster-tweets-r", "kernel_id": "11370275"}, {"ref": "yuehaopan/nlp-based-on-tensorflow-bert-model", "kernel_id": "11725928"}, {"ref": "chiragsidhdhapura/basic-eda-tf-idf-and-logistic-regression", "kernel_id": "11572776"}, {"ref": "tracyporter/identify-the-disaster-log-reg", "kernel_id": "11340760"}, {"ref": "wirachleelakiatiwong/wait-a-minute-is-this-for-real-nlp-with-tweets", "kernel_id": "11723756"}, {"ref": "varunsharma20/predicting-disaster-tweets", "kernel_id": "11829691"}, {"ref": "ahmedmurad1990/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "11374948"}, {"ref": "ahmedmurad1990/nlp-disaster-tweets-with-electra-base", "kernel_id": "11486803"}, {"ref": "jaipaldeora/naive-bayes-real-or-fake-disaster", "kernel_id": "11693519"}, {"ref": "jaipaldeora/simple-detection-of-real-disasters", "kernel_id": "11689381"}, {"ref": "ryojiimura/on4-ano", "kernel_id": "11028779"}, {"ref": "anandkumarsingh553/nlp-twitter", "kernel_id": "11174699"}, {"ref": "karthikai/nlp-naive-bayes-disaster-tweets-kaggle", "kernel_id": "11000535"}, {"ref": "taebaekhwang/bert-baseline", "kernel_id": "11377096"}, {"ref": "ibrahimnofal/nlp-text-classification-using-scikit-learn-python", "kernel_id": "11111164"}, {"ref": "ruandiassantana/disaster-tweets-competition", "kernel_id": "11372162"}, {"ref": "yutakuroiwa/nlp-introduction", "kernel_id": "11662850"}, {"ref": "hinamimi/adkkhn-h-pytorch-baseline-bert", "kernel_id": "11313188"}, {"ref": "hinamimi/adkkhn-h-nlp", "kernel_id": "11565903"}, {"ref": "hinamimi/nlp-with-disaster-tweets-searching-real-tweets", "kernel_id": "11399045"}, {"ref": "hinamimi/adkkhn-h-visualization-and-tfidf-baseline", "kernel_id": "11961584"}, {"ref": "hinamimi/adkkhn-h-nlp-v2", "kernel_id": "11699995"}, {"ref": "hinamimi/adkkhn-a-refactering", "kernel_id": "11834264"}, {"ref": "proribone/adkkhn-a-doc2vec-ver3", "kernel_id": "11939734"}, {"ref": "proribone/adkkhn-a-doc2vec-ver2", "kernel_id": "11938221"}, {"ref": "proribone/adkkhn-a-doc2vec", "kernel_id": "11911886"}, {"ref": "proribone/adkkhn-a-note200918", "kernel_id": "11801138"}, {"ref": "namraquasim/notebookf3d8820b55", "kernel_id": "11458523"}, {"ref": "naniwazu/basic-eda-cleaning-and-glove", "kernel_id": "11559912"}, {"ref": "sonaall/disaster-tweets-evaluation-with-nlp", "kernel_id": "11124572"}, {"ref": "hajimetch/nlp-bert", "kernel_id": "11723953"}, {"ref": "hajimetch/nlp-transformer", "kernel_id": "11929792"}, {"ref": "hajimetch/nlp-getting-started", "kernel_id": "11663707"}, {"ref": "kazumamorita/lstm-model", "kernel_id": "11393997"}, {"ref": "akshitrai/nlp-disaster-tweets", "kernel_id": "11250553"}, {"ref": "darthmanav/glove-lstm-sentiment-analysis-for-beginners", "kernel_id": "11126699"}, {"ref": "officialshivanandroy/xlnet-out-of-the-box-performance", "kernel_id": "11482738"}, {"ref": "krishanuadhikary/nlp-bert-squenceclassification-tutorial", "kernel_id": "11366461"}, {"ref": "fiaracauso/twitter-categorization", "kernel_id": "11263811"}, {"ref": "mikanorange4/nlp-notebook-2008", "kernel_id": "11394094"}, {"ref": "stanen/disaster-tweets", "kernel_id": "11460181"}, {"ref": "dipankarsrirag/logistic-regression-with-randomizedsearchcv-nlp", "kernel_id": "11810264"}, {"ref": "dipankarsrirag/competition-tweets-with-ensembling", "kernel_id": "11885260"}, {"ref": "kushsriv/notebookff6e5b94e7", "kernel_id": "11832331"}, {"ref": "saurabhprakashgiri/real-or-not-nlp-with-twitter-disaster-tweets", "kernel_id": "11979459"}, {"ref": "atharvyeolekar/nlp-with-disaster-tweets", "kernel_id": "11640091"}, {"ref": "nishsing/nlp-disaster-tweets-start", "kernel_id": "11989954"}, {"ref": "mbalazu/mb-00", "kernel_id": "11997600"}, {"ref": "darbin/ka-tweets-nlp-final-7-3-cnn-ru", "kernel_id": "12003751"}, {"ref": "alexallan1/how-far-can-you-get-with-auto-eda", "kernel_id": "12660958"}, {"ref": "vivekdixit009/real-or-not", "kernel_id": "12334760"}, {"ref": "vineshgamit/notebook124b5e6d23", "kernel_id": "12372973"}, {"ref": "pikkupr/a-new-way-to-bow-analysis-and-feature-engg", "kernel_id": "12135438"}, {"ref": "kampau/notebook01042a5546", "kernel_id": "12737517"}, {"ref": "paulpidou/nlp-with-disaster-tweets-naive-bayes-vs-bert", "kernel_id": "12374283"}, {"ref": "surbhi10/eda-feature-engineering-word2vec-xgboost", "kernel_id": "12620025"}, {"ref": "barthelemy/bert-nlp-augmentation-fastai-classification", "kernel_id": "12165368"}, {"ref": "rahulkumar13/notebook7e92285be1", "kernel_id": "12518971"}, {"ref": "thulesen/nlp-basic", "kernel_id": "12078411"}, {"ref": "infof4221wang/disasternlp-bert-model-using-keras", "kernel_id": "12182973"}, {"ref": "ripjaw/how-to-perform-real-eda-like-pro", "kernel_id": "12254304"}, {"ref": "andriikrupka/lazy-text-classification-with-no-efforts-via-use", "kernel_id": "12818688"}, {"ref": "elfouly/transfer-learning-with-bert-in-pytorch-lightning", "kernel_id": "12867344"}, {"ref": "saquibhashmi/counter-disaster-tweet-with-ai-from-head-to-toe", "kernel_id": "12002390"}, {"ref": "abhilash1910/miniclassifier-library", "kernel_id": "12604573"}, {"ref": "soham5896/basic-text-classification-with-logistic-regression", "kernel_id": "12013084"}, {"ref": "israakhalil/nlp-with-disaster-tweets", "kernel_id": "12797313"}, {"ref": "maiselfar/twitter-challenge", "kernel_id": "12653515"}, {"ref": "kiranjames6/project-cxlab-kj-grp6", "kernel_id": "12590388"}, {"ref": "shivamshukla12/nb-classifier-for-real-or-unreal-tweets", "kernel_id": "12056300"}, {"ref": "henry090/r-fastai-and-transformers", "kernel_id": "12957205"}, {"ref": "rcmonteiro/disaster-tweets-lstm-with-twitter-glove", "kernel_id": "12080485"}, {"ref": "dshubham777/nlp-disaster-tweets", "kernel_id": "12787126"}, {"ref": "hu18838965591/basic-eda-cleaning-and-glove", "kernel_id": "12182492"}, {"ref": "leodaniel/real-or-not-nlp-basic-solutions", "kernel_id": "12065083"}, {"ref": "cristianfat/looking-for-disasters-on-twitter", "kernel_id": "12081387"}, {"ref": "tz63467/real-or-not-predictions", "kernel_id": "12086235"}, {"ref": "trangdothuy/nlp-with-disaster-tweets-electra", "kernel_id": "12885398"}, {"ref": "trangdothuy/eda-trying", "kernel_id": "12756596"}, {"ref": "neerajmohan/nlp-bidirectional-lstm-using-tensorflow-2-0", "kernel_id": "12872883"}, {"ref": "lucasfdutra/nlp-with-disaster-tweets", "kernel_id": "12923127"}, {"ref": "snehaganesh23/disaster-tweets-nlp-eda-visualize-model-building", "kernel_id": "12193627"}, {"ref": "tizzoks/twitter-disaster-set-detecting-dishonesty", "kernel_id": "12537502"}, {"ref": "satyampd/tweets-analysing-using-nlp-real-or-not", "kernel_id": "12988377"}, {"ref": "krishnagk/successfulone-tweet-news-classification", "kernel_id": "12260242"}, {"ref": "pawan2905/nlp-disaster-tweets-eda-modelling", "kernel_id": "12198560"}, {"ref": "prakharprasad/nlp-disaster-tweets-simple-approach-to-80-score", "kernel_id": "12990220"}, {"ref": "xhlulu/disaster-nlp-train-bert-in-10-min-with-tpu", "kernel_id": "12731058"}, {"ref": "phamvandan/notebookf19769017a", "kernel_id": "12823497"}, {"ref": "moazashraf/disaster-or-not", "kernel_id": "12789318"}, {"ref": "desareca/glove-xgbtree-disasters-on-twitter", "kernel_id": "12924368"}, {"ref": "yaniv92648/yaniv-notebook-nlp", "kernel_id": "12471864"}, {"ref": "anujsoni/notebook924d20f201", "kernel_id": "12065076"}, {"ref": "soham1024/plotly-all-visualizations", "kernel_id": "12484299"}, {"ref": "soham1024/know-about-different-automl-frameworks", "kernel_id": "12022920"}, {"ref": "sapthrishi007/tweet-finetune-bert", "kernel_id": "12207047"}, {"ref": "schopenhacker75/eda-text-cleaning-glove", "kernel_id": "12846540"}, {"ref": "indranilbiswas7/torchtext-glove", "kernel_id": "12825686"}, {"ref": "samawel97/disaster-tweet-classification-with-l-regression", "kernel_id": "12353377"}, {"ref": "samawel97/predicting-disaster-tweets-logistic-regression", "kernel_id": "12092518"}, {"ref": "samawel97/disaster-tweets-logistic-regression-vs-svm", "kernel_id": "12112681"}, {"ref": "samawel97/nlp-with-disaster-tweets-svm", "kernel_id": "12050226"}, {"ref": "samawel97/twitter-sentiment-analysis-for-beginners-eda", "kernel_id": "12397213"}, {"ref": "tushardobhal273/nlp-tushar", "kernel_id": "12895997"}, {"ref": "sahilahuja27/lab-assignment-using-bert", "kernel_id": "12824102"}, {"ref": "hankarmostafa/predicting-disaster-tweets-with-naive-bayes", "kernel_id": "12787926"}, {"ref": "kamleshshimpi78/nlp-disaster-tweets-using-keras", "kernel_id": "12724253"}, {"ref": "abhishekpundir/disaster-tweets", "kernel_id": "12175118"}, {"ref": "sutartejas020/disaster-nlp", "kernel_id": "12729048"}, {"ref": "faressayah/toxic-tweet-classification-with-tensorflow", "kernel_id": "12167638"}, {"ref": "alicanolgen/predict-disaster-tweets-using-naive-bayes", "kernel_id": "12279403"}, {"ref": "deepakat002/bert-as-classifier-disaster-tweets", "kernel_id": "12109687"}, {"ref": "rajansust/nlp-with-disaster", "kernel_id": "12076177"}, {"ref": "sasukekpal/nlp-2", "kernel_id": "12743301"}, {"ref": "deepdude002/nlp-disaster-prediction", "kernel_id": "12818901"}, {"ref": "isurualagiyawanna/disaster-tweet-sentiment-analysis-with-lstm", "kernel_id": "12522149"}, {"ref": "vaishnavkapil/nlp-disaster-real-or-not", "kernel_id": "12233709"}, {"ref": "hiro1005/real-or-not-nlp-with-disaster-tweets", "kernel_id": "12062710"}, {"ref": "shehabhosny/solution-1", "kernel_id": "12016286"}, {"ref": "naim99/text-classification-grid-svm", "kernel_id": "12201236"}, {"ref": "naim99/lstm-rnn", "kernel_id": "12003387"}, {"ref": "rehamshouman/notebook3393b7b3b5", "kernel_id": "12023430"}, {"ref": "nattachanningnoi/kaggle-project-nlp-disaster-tweet-final", "kernel_id": "12981393"}, {"ref": "taherhaggui/tweets-detection-disaster", "kernel_id": "12892623"}, {"ref": "nikhiljohnk/powerful-glove-embeddings-bilstm-network", "kernel_id": "12565063"}, {"ref": "panagiotisgkanos/notebook07f67239f1", "kernel_id": "12761852"}, {"ref": "tanvithanekar/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "12476829"}, {"ref": "harrycheng5/nlp-fake-tweets-classification", "kernel_id": "12480237"}, {"ref": "rakkaalhazimi/concat-embedding-bilstm-and-maxpooling2d", "kernel_id": "12821181"}, {"ref": "monal007/real-fake-disaster-notebook", "kernel_id": "12063494"}, {"ref": "denisahinski/ensemble-rf-svm-logreg-bernoullinaivebayes", "kernel_id": "12513336"}, {"ref": "kashish8610/real-or-not-nlp-disaster-prediction-with-nltk", "kernel_id": "12668086"}, {"ref": "myasiny/tweety-fake-detection", "kernel_id": "12532059"}, {"ref": "javagarm/useful-python-libraries-for-data-science", "kernel_id": "12549577"}, {"ref": "egorpinkovskii/catboost-text-features-with-some-preprocessing", "kernel_id": "12486025"}, {"ref": "apretrue/pytorch-roberta-for-classify", "kernel_id": "12591551"}, {"ref": "kushagra180/nlp-disaster-tweet-using-nltk-and-ml", "kernel_id": "12669961"}, {"ref": "pramilajangid/disaster-tweets-play1", "kernel_id": "12360456"}, {"ref": "jayantawasthi/disaster-tweet-with-ml-and-keras", "kernel_id": "12276627"}, {"ref": "mratel/tweet-classifier", "kernel_id": "12530987"}, {"ref": "khaledyoung/disaster-tweets-svc-tf-idf", "kernel_id": "12960658"}, {"ref": "simonwambua/nlp-disaster-tweets", "kernel_id": "12666176"}, {"ref": "soujanyag/nlp-on-disaster-tweets-data", "kernel_id": "12485775"}, {"ref": "ezeanyi/nlp-cleaning-glove-lstm-bert", "kernel_id": "12490525"}, {"ref": "patipanrattanawin/disaster-tweet-text-classification-simplest-way", "kernel_id": "12952939"}, {"ref": "jishudey/nlp-with-disaster-analysis-using-machine-learning", "kernel_id": "12545805"}, {"ref": "chitramdasgupta/disaster-or-not", "kernel_id": "12002375"}, {"ref": "michawilkosz/just-try-nlp-eda-spacy-svm-lstm-bert", "kernel_id": "12280652"}, {"ref": "maleroy/keras-bert-with-text-and-location-preprocessing", "kernel_id": "12108082"}, {"ref": "esraamohsenelalphi/realornot", "kernel_id": "12000058"}, {"ref": "mayur7garg/nlp-for-disaster-tweets", "kernel_id": "12416933"}, {"ref": "shuditkumar/nlp-with-disaster-tweets", "kernel_id": "12244401"}, {"ref": "maunilshah/real-or-not", "kernel_id": "12487092"}, {"ref": "deepachalapathi/nlp-disaster-tweets-bert", "kernel_id": "12626612"}, {"ref": "davbyron/tf-idf-vs-word2vec-vs-transfer-learning", "kernel_id": "12632670"}, {"ref": "luvkhandelwal/adv-svm", "kernel_id": "12980510"}, {"ref": "maciejgronczynski/nlp-1-2", "kernel_id": "12047061"}, {"ref": "maciejgronczynski/nlp-1-1", "kernel_id": "12011815"}, {"ref": "vaishnavikhilari/nlp-with-disaster-tweets", "kernel_id": "12111666"}, {"ref": "tracyporter/identify-the-disaster-pipeline-linearsvc", "kernel_id": "12632035"}, {"ref": "tracyporter/identify-the-disaster-xgbc", "kernel_id": "12091655"}, {"ref": "samaamansour/third-submission", "kernel_id": "12022178"}, {"ref": "mahdimahdi55/nlp-disaster-tweets-with-electra-base", "kernel_id": "12882905"}, {"ref": "heeraldedhia/know-about-different-automl-frameworks", "kernel_id": "12037247"}, {"ref": "sviatoslavlavrinchuk/disaster-tweets", "kernel_id": "12357525"}, {"ref": "rathanansiriwan/real-or-not-dsi206", "kernel_id": "12910122"}, {"ref": "peeravichsinta/naive-bayes-text-classification-for-beginners", "kernel_id": "12874290"}, {"ref": "proribone/adkkhn-a-doc2vec-ver4", "kernel_id": "12087005"}, {"ref": "kormishin/model-3-pytorch-cnn-with-dropouts", "kernel_id": "12032644"}, {"ref": "kormishin/model-1-regression-and-naive-baies", "kernel_id": "12032059"}, {"ref": "kormishin/model-2-pytorch-simple-nn-with-dropuots", "kernel_id": "12032314"}, {"ref": "sarthakjain1234/readyornotdisasternotebook", "kernel_id": "12268589"}, {"ref": "rushitav/disaster-tweets", "kernel_id": "12143242"}, {"ref": "ashishsingh226/simple-model-for-beginners", "kernel_id": "12743315"}, {"ref": "laxmivishvkarma/notebook6e97103156", "kernel_id": "12180487"}, {"ref": "mehmetlaudatekman/nlp-competetion-tweet-classification-glove-gru", "kernel_id": "12691747"}, {"ref": "samirthapa10/disaster-tweet-classification", "kernel_id": "12784010"}, {"ref": "sridharjayadavan/realor-nor-nlp-with-disaster", "kernel_id": "12071382"}, {"ref": "naorhaba/my-first-nlp-project", "kernel_id": "12402023"}, {"ref": "bgsaul/nlp-getting-started", "kernel_id": "12571419"}, {"ref": "mlbikrant/bikrant-dl-project2", "kernel_id": "12890534"}, {"ref": "kaejercho/notebook601003dfd9", "kernel_id": "12291879"}, {"ref": "osxxcamp/basic-eda-cleaning-and-glove", "kernel_id": "12490293"}, {"ref": "raouljadhav/simple-data-cleaning-from-tweets", "kernel_id": "12721455"}, {"ref": "makhalil/notebook12233", "kernel_id": "12026152"}, {"ref": "mahirofukuda/tweet-prediction", "kernel_id": "12238444"}, {"ref": "funnyr4bbit/twitter-disaster-real-or-not-1st-attempt", "kernel_id": "12666200"}, {"ref": "ucchiii/uchi-notebook", "kernel_id": "12397021"}, {"ref": "hak999/tweetdistilbert", "kernel_id": "12289929"}, {"ref": "jamescorbin/nlp-disaster-tweets-with-bert-and-other-tf-models", "kernel_id": "12854901"}, {"ref": "aryansakhala/nlparyan", "kernel_id": "12739028"}, {"ref": "anvole/ee258-f20-anvo", "kernel_id": "12963615"}, {"ref": "saztorralba/disastertweets-lstmencoder", "kernel_id": "12644753"}, {"ref": "pradyumnainguva/notebooke6a770911c", "kernel_id": "12897376"}, {"ref": "elizabethhensley/twitter-project", "kernel_id": "12630887"}, {"ref": "manatsaweewutticharn/dsi206-beautifulgirls", "kernel_id": "12819935"}, {"ref": "yanisagam/basic-nlp", "kernel_id": "12863701"}, {"ref": "grjasewe/bert-only", "kernel_id": "13405321"}, {"ref": "user182795/practice-disaster-nlp", "kernel_id": "13868053"}, {"ref": "jamesmcguigan/nlp-logistic-regression", "kernel_id": "13972377"}, {"ref": "jamesmcguigan/nlp-tf-idf-classifier", "kernel_id": "13963160"}, {"ref": "jamesmcguigan/nlp-naive-bayes", "kernel_id": "13991627"}, {"ref": "erammunawwar/subword-tokenizer-with-lstm", "kernel_id": "13722188"}, {"ref": "qfang6/toxic-comment-classification-nb-svm-xgb", "kernel_id": "13863270"}, {"ref": "aadimator/disaster-prediction-pytorch", "kernel_id": "13718825"}, {"ref": "sohaelshafey/disaster-tweets-classification", "kernel_id": "13987154"}, {"ref": "ayushggarg/nlp-with-disaster-tweets-eda-bert", "kernel_id": "13985799"}, {"ref": "gisbee/stripping-model-back", "kernel_id": "13804375"}, {"ref": "skadiran/twitter-disaster-classifier", "kernel_id": "13290270"}, {"ref": "rahulkumar13/nlp-disaster-predict", "kernel_id": "13744243"}, {"ref": "somcool/bert-tf-hub-for-disaster-tweet", "kernel_id": "13420777"}, {"ref": "matevaradi/naive-bayes-doc2vec-rf-glove-lstm", "kernel_id": "13379206"}, {"ref": "chandrakanthlns/disaster-classfication-tweets", "kernel_id": "13810354"}, {"ref": "retoled/lstm-using-keras", "kernel_id": "13668300"}, {"ref": "fatmakursun/disaster-tweets-nlp-for-beginners", "kernel_id": "13834289"}, {"ref": "dwarika/disaster-tweets-classification-nlp", "kernel_id": "13827172"}, {"ref": "npatos01/glove-lstm-sentiment-analysis-for-beginners", "kernel_id": "13183551"}, {"ref": "guidosalimbeni/keras-lstm-for-sentiment-disaster-analysis", "kernel_id": "13923478"}, {"ref": "saurav044/notebook7cf934b6fb", "kernel_id": "13479931"}, {"ref": "craigmthomas/disaster-tweets-nlp-for-beginners-with-catboost", "kernel_id": "13842033"}, {"ref": "craigmthomas/catboost-fe", "kernel_id": "13805393"}, {"ref": "craigmthomas/simple-features-sgd-lightgbm", "kernel_id": "13769912"}, {"ref": "craigmthomas/logistic-regression-lightgbm-fe", "kernel_id": "13785461"}, {"ref": "craigmthomas/tfidf-with-support-vector-machines", "kernel_id": "13991134"}, {"ref": "yutoricstar/nlp-disaster-tweet-xgb", "kernel_id": "13524307"}, {"ref": "ambityga/use-tweets5k", "kernel_id": "13361227"}, {"ref": "remmy27/nlp-with-disaster-tweets", "kernel_id": "13583718"}, {"ref": "medi52/disaster-tweets-with-roberta", "kernel_id": "13904651"}, {"ref": "shyambhu/80-with-vector-embedding-feature-engineering", "kernel_id": "13746276"}, {"ref": "ekshusingh/bert-as-embedding", "kernel_id": "13284656"}, {"ref": "krsna540/disaster-tweet-or-not-bert-tpu", "kernel_id": "13421411"}, {"ref": "orion29/disaster-tweets-using-ulmfit", "kernel_id": "13908628"}, {"ref": "sbhat1996/real-or-not-disaster-with-nlp", "kernel_id": "13075011"}, {"ref": "riziko/bert-embedding-stacking-bayesian-opt", "kernel_id": "13338682"}, {"ref": "afridi10/disaster-tweet-01", "kernel_id": "13983655"}, {"ref": "mkudlick/real-or-not-nlp-with-disaster-tweets-notebook", "kernel_id": "13429207"}, {"ref": "salmanhiro/glove-baseline-lstm", "kernel_id": "13357597"}, {"ref": "salmanhiro/glove-baseline-bert", "kernel_id": "13379441"}, {"ref": "zekielkatmis/message-true-or-not", "kernel_id": "13983154"}, {"ref": "kursatkaragoz29/nlp-with-disaster-tweets", "kernel_id": "13362717"}, {"ref": "smagh777/natural-language-processing-with-disaster-tweets-3", "kernel_id": "13988138"}, {"ref": "faressayah/amazon-reviews-sentiment-analysis-with-keras", "kernel_id": "13408829"}, {"ref": "rihab147/xlnet-tunisian-sentiment-analysis", "kernel_id": "13542059"}, {"ref": "hamzaghanmi/sentiment-analysis-using-ml-80", "kernel_id": "13965787"}, {"ref": "nicodem/logisitic-regression-and-feature-extractions", "kernel_id": "13845370"}, {"ref": "ashwinrachha1/nlp-disaster-tweets", "kernel_id": "13168703"}, {"ref": "masoudfaramarzi/naive-bayes-and-eda", "kernel_id": "13765111"}, {"ref": "aadishagrawal/notebookf58f8for-9b5e8", "kernel_id": "13387999"}, {"ref": "siriratwichianpanya/realornot", "kernel_id": "13027244"}, {"ref": "teyang/tweet-backup", "kernel_id": "13689703"}, {"ref": "shrijeethsuresh/disaster-tweet-analysis", "kernel_id": "13569879"}, {"ref": "bamnichaporn/tweet", "kernel_id": "13060131"}, {"ref": "bamnichaporn/sentiment-twitter", "kernel_id": "13057822"}, {"ref": "bamnichaporn/real-or-not-disaster-tweets", "kernel_id": "13069909"}, {"ref": "martinhaha/fastai-approach", "kernel_id": "13045856"}, {"ref": "baakkzlay/disaster-tweets-analysis", "kernel_id": "13344972"}, {"ref": "looktarnsrp/basic-ml-classification", "kernel_id": "13011440"}, {"ref": "mansisaxena/svm-tweet-classification", "kernel_id": "13645910"}, {"ref": "tom99763/classify-by-naive-bayes-model", "kernel_id": "13629965"}, {"ref": "anubhav6864/nlp-distatertweets", "kernel_id": "13140523"}, {"ref": "dianetuyizere/dtuyizere-group-assignment-4", "kernel_id": "13183374"}, {"ref": "aadeshbaral/real-or-fake-disaster-tweets", "kernel_id": "13253158"}, {"ref": "ivanzverev/notebook8ef269c83d", "kernel_id": "13770263"}, {"ref": "chachiawacef/nlp-with-disaster-tweets-79-accuracy", "kernel_id": "13663614"}, {"ref": "rojinzandi/nlp-project", "kernel_id": "13136191"}, {"ref": "rojinzandi/nlp-project2", "kernel_id": "13493410"}, {"ref": "yanisasomchan/real-or-not-nlp-with-disaster-tweets-trinity", "kernel_id": "13150092"}, {"ref": "kalyanipande/simple-nlp", "kernel_id": "13956228"}, {"ref": "natjirachamusri/real-or-not-nlp-with-disaster-tweets-for-206", "kernel_id": "13115961"}, {"ref": "natjirachamusri/notebooke1fa31a1e9", "kernel_id": "13117480"}, {"ref": "kanthichajuntepa/dsi-real-or-not", "kernel_id": "13117768"}, {"ref": "kanthichajuntepa/dsi-206", "kernel_id": "13109417"}, {"ref": "fnumamta/datamining-termproject", "kernel_id": "13497463"}, {"ref": "paweeyaphumwanphen/notebooke094735eb4", "kernel_id": "13013100"}, {"ref": "paweeyaphumwanphen/notebook80bd1f1e02", "kernel_id": "13020315"}, {"ref": "paweeyaphumwanphen/notebookd735deb06d", "kernel_id": "13037893"}, {"ref": "paweeyaphumwanphen/disaster-tweets-ridge-regression", "kernel_id": "13088927"}, {"ref": "guptaaanchal/nlp-disaster-tweets", "kernel_id": "13826215"}, {"ref": "munjaldesai/disaster-tweets-fasttext-80acc", "kernel_id": "13953277"}, {"ref": "wiktorbrk/quick-nlp-with-disaster-tweets", "kernel_id": "13307828"}, {"ref": "mshivanshu10/disastertweetclassify", "kernel_id": "13481571"}, {"ref": "mohdkashifakhtar/notebook20cc87a764", "kernel_id": "13324323"}, {"ref": "besttudsichittana/project20", "kernel_id": "13101505"}, {"ref": "heeralal07/basics-of-nlp", "kernel_id": "13815779"}, {"ref": "prouserrr/nutchanon", "kernel_id": "13070164"}, {"ref": "ritheshsreenivasan/disastertweetv1", "kernel_id": "13807435"}, {"ref": "jibujohn/real-or-not-nlp-with-disaster-tweets", "kernel_id": "13897087"}, {"ref": "charanrajshetty/disaster-tweet-sentiment-analysis-lstm", "kernel_id": "13535235"}, {"ref": "rohitjoshi09/nlp-with-disaster-tweets-getting-started-80", "kernel_id": "13623493"}, {"ref": "raghavjha858/disaster-nlp-word2vec", "kernel_id": "13069315"}, {"ref": "sauravjoshi23/disaster-tweets-80-263-accuracy-using-svc", "kernel_id": "13983092"}, {"ref": "chalatsingangkura/nlp-with-disaster-tweets-group5", "kernel_id": "13044209"}, {"ref": "igot7lovegot7/real-or-not-on-twitter-dsi206", "kernel_id": "13107776"}, {"ref": "igot7lovegot7/real-or-not-on-twitter", "kernel_id": "13060864"}, {"ref": "peeravichsinta/naive-bayes-text-classification-for-beginne-b5cfc1", "kernel_id": "13133237"}, {"ref": "paulrohan2020/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "13518520"}, {"ref": "shutupandsquat/my-first-nlp", "kernel_id": "13808097"}, {"ref": "amritanshupandey/nlp-disaster", "kernel_id": "13648451"}, {"ref": "abhishektyagi001/real-or-not-nlp-with-disaster-tweets", "kernel_id": "13377175"}, {"ref": "bartoszpieniak/nlp-disaster-pred", "kernel_id": "13271052"}, {"ref": "chananchidapakkawut/naive-bayes-text-classification-for-beginners", "kernel_id": "13100383"}, {"ref": "chanakanwechatap/nlp-206", "kernel_id": "13075578"}, {"ref": "takumi4343/real-or-not-nlp-with-disaster-tweets-by-hashing", "kernel_id": "13106727"}, {"ref": "takumi4343/logitwithhash", "kernel_id": "13061365"}, {"ref": "hanseopark/nlp-prediction-for-disaster-using-tweet", "kernel_id": "13804494"}, {"ref": "mellebrouwer/nlp-bert-test", "kernel_id": "13537654"}, {"ref": "kingabzpro/simple-tweet-classification-for-beginners", "kernel_id": "13488431"}, {"ref": "bgsaul/nlp-disaster-tweets-1-17-21", "kernel_id": "13220759"}, {"ref": "xyf1222/tweets-disaster-prediction-using-rnns", "kernel_id": "13475937"}, {"ref": "hsanozanzkan/real-or-not-nlp-with-disaster-tweets", "kernel_id": "13197661"}, {"ref": "drsurabhithorat/predicting-disaster-tweets", "kernel_id": "13289051"}, {"ref": "qwantisheku/disaster-classifier", "kernel_id": "13013816"}, {"ref": "massinissaguendoul/nlp-disaster-tweet", "kernel_id": "13104084"}, {"ref": "muhammadalfian/nlp-test", "kernel_id": "13150017"}, {"ref": "nikhilprashar/nikhil-real-or-not", "kernel_id": "13189851"}, {"ref": "tanpatk/disaster-tweets-word-embedding-lstms", "kernel_id": "13109670"}, {"ref": "tanpatk/disaster-tweets-tf-idf", "kernel_id": "13051366"}, {"ref": "tanpatk/disaster-tweets-bagofwords", "kernel_id": "13058020"}, {"ref": "mungkornss/mung-bert-clean", "kernel_id": "13015782"}, {"ref": "nagakalyan2784/disaster-tweets-analysis", "kernel_id": "13194607"}, {"ref": "tuhinsubhrade/nlp-tweet-classification", "kernel_id": "13746178"}, {"ref": "daotan/tweet-analysis-using-lstm", "kernel_id": "13323223"}, {"ref": "omarouardighi/nlp-with-keraas", "kernel_id": "13429419"}, {"ref": "phitchayut/real-or-not-nlp-with-disaster-tweets", "kernel_id": "13033538"}, {"ref": "himanshutripathi/disaster-tweets-nlp-eda-cleaning-and-k-train", "kernel_id": "13442738"}, {"ref": "arochamorsin/nlp-with-disaster-tweet", "kernel_id": "13000974"}, {"ref": "sasimanimma/test-of-beginner", "kernel_id": "13013050"}, {"ref": "aumlou/lstmmodel", "kernel_id": "13033151"}, {"ref": "dada07sahassawadee/dsi206-project", "kernel_id": "13011974"}, {"ref": "ggsehun/real-or-not-nlp-with-disaster-tweets-dsi206", "kernel_id": "13081318"}, {"ref": "mollapankuabphimai/notebook0df71946e3", "kernel_id": "13058140"}, {"ref": "mollapankuabphimai/notebook8fb6cbf214", "kernel_id": "13060276"}, {"ref": "mollapankuabphimai/tweet", "kernel_id": "13060474"}, {"ref": "thanaphonsut/206-tweets-new", "kernel_id": "13062291"}, {"ref": "thanaphonsut/pro-206-tweets-thanaphon", "kernel_id": "13120126"}, {"ref": "babybamm61/notebookb7c2f2ff09", "kernel_id": "13119502"}, {"ref": "jessizora/notebooke1fa31a1e9", "kernel_id": "13150199"}, {"ref": "acadaiaca/tf-idf-word2vec-lr-bert", "kernel_id": "13252858"}, {"ref": "nacionenkoprulu/notebookcdee3ad4a9", "kernel_id": "13201660"}, {"ref": "phuasoongern/prediction-with-nlp-phua-sn", "kernel_id": "13917828"}, {"ref": "suryaprakashpathak/nlp-twitter-data", "kernel_id": "13429939"}, {"ref": "fleek12/disaster-tweet-classification-using-lstm-model", "kernel_id": "13951834"}, {"ref": "jianzlqiaoyy/nlp-pattern-recognition", "kernel_id": "13848380"}, {"ref": "dikshabhati2002/nlp-for-beginners", "kernel_id": "13951366"}, {"ref": "darbin/tweets-eda-map-nlp-tf-idf-cnn-on-pytorch-gpu", "kernel_id": "14106342"}, {"ref": "bisakharay/data-cleaning-glove-bidirectional-lstm", "kernel_id": "14632251"}, {"ref": "vivekam101/shallow-ml-approaches-for-text-classification", "kernel_id": "14534493"}, {"ref": "vivekam101/bert-model-lb-83-3-for-text-classification", "kernel_id": "14552282"}, {"ref": "vivekam101/eda-on-meta-information-in-tweets", "kernel_id": "14550422"}, {"ref": "jamesmcguigan/nlp-laser-embeddings-keras", "kernel_id": "14338625"}, {"ref": "mindyng/burnout-tweets-analysis", "kernel_id": "14044303"}, {"ref": "subpath/notebook7dff776913", "kernel_id": "14474789"}, {"ref": "aditagrawal/nlp-tweet-disaster-classifier-v1", "kernel_id": "14026350"}, {"ref": "yanxunus/0-806-learnings-from-twitter-disaster-pytorch", "kernel_id": "14698467"}, {"ref": "abyssjumper/notebookb1a18447d2", "kernel_id": "14032451"}, {"ref": "tima04/notebook327a34b5a2", "kernel_id": "14500214"}, {"ref": "deenukhan/disaster-tweets-log-regression", "kernel_id": "14271010"}, {"ref": "drscarlat/disaster-tweets-fastai-nlp", "kernel_id": "14545454"}, {"ref": "captainhindsight/notebookefda99f7c0", "kernel_id": "14058234"}, {"ref": "lucifervaibhav/bert-model", "kernel_id": "14057967"}, {"ref": "vishubandari/disaster-tweets", "kernel_id": "14123119"}, {"ref": "serg132003/fork-of-enzime-lstm", "kernel_id": "14611434"}, {"ref": "lmasca/disaster-tweets-using-bert-embeddings-and-lstm", "kernel_id": "14668853"}, {"ref": "vicioussong/tweet-nlp-benchmark-1-cnn-rnn-with-glove", "kernel_id": "14411143"}, {"ref": "vicioussong/tweet-nlp-benchmark-2-bert-family", "kernel_id": "14426199"}, {"ref": "jatinbabbar1696/disaster-tweets-rf", "kernel_id": "14846677"}, {"ref": "leomauro/nlp-detec-o-de-tweets-de-desastres", "kernel_id": "14784149"}, {"ref": "larsmadsen/tf-keras-starter-0-81-score-lstm-and-word-embeddi", "kernel_id": "14910610"}, {"ref": "mnavaidd/nlp-exploratory-data-analysis", "kernel_id": "14502738"}, {"ref": "pashupatigupta/transfer-learning-using-bert-in-depth", "kernel_id": "14556187"}, {"ref": "yas2702/disaster-tweet", "kernel_id": "14513135"}, {"ref": "kairavk/nlp-disastertweets-classification-new-to-kaggle", "kernel_id": "14373383"}, {"ref": "sonujha090/nlpgettingstarted", "kernel_id": "14366657"}, {"ref": "thegodchurch/bertmodel2", "kernel_id": "14407462"}, {"ref": "pawanbhandarkar/knn-vs-approximate-knn-what-s-the-difference", "kernel_id": "14120279"}, {"ref": "kasmithh/disaster-tweets-data-view", "kernel_id": "14061596"}, {"ref": "sharansmenon/disaster-tweet-sklearn", "kernel_id": "14759128"}, {"ref": "anjalia8/classifyingdisastertweets", "kernel_id": "14341103"}, {"ref": "anjalia8/classifyingdisastertweets-dnn", "kernel_id": "14450990"}, {"ref": "neerajmohan/nlp-text-classification-using-tf-idf-features", "kernel_id": "14047717"}, {"ref": "anith88/true-disasters", "kernel_id": "14202472"}, {"ref": "rutvik04/disaster-nlp", "kernel_id": "14168707"}, {"ref": "jagdmir/tweet-analysis-simplernn-lstm-gru", "kernel_id": "14846673"}, {"ref": "vladimir89/disaster-nlp-v2", "kernel_id": "14562762"}, {"ref": "kppetrov/fast-svc-using-scikit-learn-intelex-for-nlp", "kernel_id": "14864634"}, {"ref": "pradyu99914/nlp-classification", "kernel_id": "14373154"}, {"ref": "yogie25/text-classification-with-spacy", "kernel_id": "14175961"}, {"ref": "swimbeginner/simple-embedding-spacyvstensorflow", "kernel_id": "14217203"}, {"ref": "imabhilash/nlp-disaster-tweets", "kernel_id": "14622571"}, {"ref": "ashagutlapalli/nlp-101-with-nltk-and-spacy-text-analysis", "kernel_id": "14103128"}, {"ref": "jobinv12/disaster-tweets-nlp", "kernel_id": "14669595"}, {"ref": "smitan94/disaster-tweet-analysis-using-bert", "kernel_id": "14537918"}, {"ref": "viroviro/detecting-disaster-tweets-fine-tuning-bert", "kernel_id": "14567170"}, {"ref": "kictakimuhabirsincap/nlp-twitter", "kernel_id": "14059056"}, {"ref": "jmacak/notebook81ee283271", "kernel_id": "14938689"}, {"ref": "ccollado7/nlp-with-disaster-tweets-eda-espa-ol", "kernel_id": "14031591"}, {"ref": "ccollado7/nlp-with-disaster-tweets-score-0-78", "kernel_id": "14032051"}, {"ref": "faressayah/nlp-with-spacy-nltk-gensim", "kernel_id": "14162239"}, {"ref": "faressayah/spacy-chapter-1-finding-words-phrases-names", "kernel_id": "14580921"}, {"ref": "faressayah/spacy-chapter-2-large-scale-data-analysis", "kernel_id": "14584147"}, {"ref": "faressayah/spacy-chapter-3-processing-pipelines", "kernel_id": "14588101"}, {"ref": "lvalencia/bert-exposes-fake-tweets", "kernel_id": "14195195"}, {"ref": "nehakumar31/nlptweet-glove-lstm", "kernel_id": "14898383"}, {"ref": "nehakumar31/nlptweets-nltknaivebayes-spacylemma", "kernel_id": "14775614"}, {"ref": "nehakumar31/nlptweet-scikitnb", "kernel_id": "14775201"}, {"ref": "nehakumar31/nlptweets-berttransformer", "kernel_id": "14958171"}, {"ref": "nehakumar31/nlptweet-glove-lstm-2", "kernel_id": "14932505"}, {"ref": "andreshg/nlp-glove-bert-tf-idf-lstm-explained", "kernel_id": "14798720"}, {"ref": "harsh0823/sentiment-analysis-on-disaster-tweets-80-28", "kernel_id": "14076108"}, {"ref": "gauravdiwan/nlp-analysis-with-disaster-tweets", "kernel_id": "14615258"}, {"ref": "yrpang/nlp-beginer-with-bert-fine-tunning", "kernel_id": "14591530"}, {"ref": "arijzou/text-preprocessing-disaster-tweets", "kernel_id": "14784941"}, {"ref": "datadigger22/disaster-tweets-with-lstm", "kernel_id": "14041326"}, {"ref": "naim99/bert-as-embedding", "kernel_id": "14196498"}, {"ref": "sumeetsawant/disaster-tweet-prediction-using-bow-70-accuracy", "kernel_id": "14354789"}, {"ref": "espressodoppio/document-term-matrix-with-regression", "kernel_id": "14231051"}, {"ref": "teyang/transformer-is-all-you-need-for-disaster-tweets", "kernel_id": "14004433"}, {"ref": "taherhaggui/great-explorations-and-bert-implementation", "kernel_id": "14311680"}, {"ref": "firebee/glove-lstm", "kernel_id": "14565180"}, {"ref": "arpikr/lstm-nlp", "kernel_id": "14469002"}, {"ref": "iamabhishekdas/bert-in-pytorch-for-nlp-in-disaster-tweets", "kernel_id": "14922728"}, {"ref": "laurabatchelor/tf-idf-xgboost-76", "kernel_id": "14034240"}, {"ref": "operationalamplifier/nlp-laser-embeddings-keras", "kernel_id": "14684260"}, {"ref": "nibinjoseph/natural-language-processing-project", "kernel_id": "14300687"}, {"ref": "naveenmsd/mini-project-module-1-disaster-identification", "kernel_id": "14146377"}, {"ref": "naveenmsd/module-2-sentiment-analysis-model-building", "kernel_id": "14754498"}, {"ref": "raduciou/nlp-distastertweets", "kernel_id": "14383724"}, {"ref": "skydevour/natural-language-processing-with-disaster-tweets", "kernel_id": "14265982"}, {"ref": "midouazerty/sentiment-analysis-using-ml-85-competitions", "kernel_id": "14728498"}, {"ref": "leeaspitarte/visualize-hyperparameter-sweeps-with-xarray", "kernel_id": "14638718"}, {"ref": "parthnigam/first-handson-nlp", "kernel_id": "14076722"}, {"ref": "nicknosorogov/distweetrhinosceros", "kernel_id": "14113092"}, {"ref": "bumjunkoo/bert-pytorch-for-sentiment-classification", "kernel_id": "14012174"}, {"ref": "beherenowli/baseline-svc-79", "kernel_id": "14460505"}, {"ref": "sagarsinha/part-of-speech-tagging", "kernel_id": "14468383"}, {"ref": "sauravjoshi23/disaster-tweets-exploratory-data-analysis", "kernel_id": "14641751"}, {"ref": "mustafakusoglu/b-y-k-veri-dev", "kernel_id": "14113644"}, {"ref": "damienherv/nlp-disaster-tweets-bert", "kernel_id": "14129191"}, {"ref": "weslatimarwen/nlp-with-disaster-tweets-challenge", "kernel_id": "14427649"}, {"ref": "tornikeonoprishvili/dense-fig", "kernel_id": "14308769"}, {"ref": "rahulkadam0909/tweet-disaster-using-nlp", "kernel_id": "14875175"}, {"ref": "ianbraun/classifying-disaster-tweets-with-bilstm", "kernel_id": "14965397"}, {"ref": "upamanyumukherjee/nlp-disastertweetsnotebook", "kernel_id": "14751302"}, {"ref": "amlanmohanty1/nlp-disaster-tweets-classifier-beginner", "kernel_id": "14233077"}, {"ref": "nilaykhare/nlp-diastertweets-using-tf", "kernel_id": "14367546"}, {"ref": "ash112/nlp-disaster-tweets", "kernel_id": "14372746"}, {"ref": "ash112/nlp-disaster-tweets-text-preprocess-with-pipeline", "kernel_id": "14477422"}, {"ref": "joydattaraj/ktrain-bert-model", "kernel_id": "14287573"}, {"ref": "joolousada/nlp-disaster-tweets-tf-idf-linearsvc", "kernel_id": "14477169"}, {"ref": "aswinkumar0472/notebook06bdc531ab", "kernel_id": "14400624"}, {"ref": "baekseungyun/gpt-2-with-huggingface-pytorch", "kernel_id": "14361684"}, {"ref": "lewisdevereux/nlp-v2", "kernel_id": "14837379"}, {"ref": "lewisdevereux/fork-of-first-nlp-word-vectors", "kernel_id": "14467684"}, {"ref": "lewisdevereux/first-nlp", "kernel_id": "14376555"}, {"ref": "p77091122/nlp-bert-tf2-0-saved-model-v3", "kernel_id": "14201894"}, {"ref": "ukaszjasiski93/nlp-twitter", "kernel_id": "14127127"}, {"ref": "mariuszorbik/disaster-tweets-nlp", "kernel_id": "14011004"}, {"ref": "dipeshkurasau/tweet-disaster", "kernel_id": "14928296"}, {"ref": "itsbhups/nlp-disaster-tweets", "kernel_id": "14663489"}, {"ref": "zinebkhanjari/disaster-tweets-multiple-vectorizers-and-models", "kernel_id": "14068986"}, {"ref": "zinebkhanjari/disastertweets-1", "kernel_id": "14201110"}, {"ref": "zinebkhanjari/exploratory-data-analysis", "kernel_id": "14196109"}, {"ref": "yoohyuck/disaster-or-not-nlp-with-tweet-data", "kernel_id": "14104657"}, {"ref": "taniyasharma1207/nlp-for-twitter-fake-news", "kernel_id": "14497872"}, {"ref": "gurharkhalsa/backwards-forwards-ulmfit-ensemble", "kernel_id": "14111238"}, {"ref": "phatphamtruong/17133047", "kernel_id": "14257178"}, {"ref": "jianzlqiaoyy/nlp-pt", "kernel_id": "14155900"}, {"ref": "hackspyder/fine-tuning-bert-for-sentiment-analysis", "kernel_id": "14106395"}, {"ref": "emremutlu60/natural-language-processing-with-disaster-tweets", "kernel_id": "14114675"}, {"ref": "sudarshbuxyyes/nlp-disaster-tweets", "kernel_id": "14931383"}, {"ref": "wahabmalik/text-classification-with-tensorflow-keras", "kernel_id": "14953440"}, {"ref": "wahabmalik/text-classification-with-tensorflow-and-keras", "kernel_id": "14956142"}, {"ref": "anishkd/basic-eda", "kernel_id": "14266990"}, {"ref": "tanshuehmei/nlp-on-disaster-tweets", "kernel_id": "14596198"}, {"ref": "austinpack/nlp-practice-with-disaster-tweets", "kernel_id": "14834500"}, {"ref": "benjamnmachn/notebook2e40ef0184", "kernel_id": "14389165"}, {"ref": "lawrencio/wd-lstm-att", "kernel_id": "14932090"}, {"ref": "alexryzhkov/lightautoml-starter-nlp", "kernel_id": "15639884"}, {"ref": "thiago2/sentiment-analysis-and-other-engineering-features", "kernel_id": "15639125"}, {"ref": "celniker/nlp-twitter-tuned-lgbm-model-tfidf-bert", "kernel_id": "15593830"}, {"ref": "bhajnik/disaster-tweet-classification-using-bert", "kernel_id": "15030688"}, {"ref": "stautxie/nlp-getting-started-baseline", "kernel_id": "15802506"}, {"ref": "geraldk/classify-tweets-using-lstm-and-glove-embeddings", "kernel_id": "15092080"}, {"ref": "tqrahman/quick-basic-model-using-bert-in-tensorflow", "kernel_id": "15369431"}, {"ref": "tarunshah/nlp-eda-cleaning-bert", "kernel_id": "15995055"}, {"ref": "adewandaru/notebookdc34228f91", "kernel_id": "15294002"}, {"ref": "adewandaru/twitter-disaster-classification-using-lstm-glove", "kernel_id": "15302749"}, {"ref": "aneeshaaschowdhry/fastai-noob", "kernel_id": "15454331"}, {"ref": "sanketgandhi/disaster-tweets-prediction-ml-rnn-lstm-gru", "kernel_id": "15308160"}, {"ref": "somcool/disaster-tweet-classification-using-lstm-attention", "kernel_id": "15326914"}, {"ref": "areomoon/disaster-nlp-keras-bert-tfhub-cam-visualization", "kernel_id": "15538060"}, {"ref": "ronakc/lstm-with-auxiliary-input", "kernel_id": "15109663"}, {"ref": "serg132003/submission-averaging", "kernel_id": "15095875"}, {"ref": "lucabasa/a-shameless-journey-into-nlp-from-scratch", "kernel_id": "15833567"}, {"ref": "mnavaidd/tweet-classification-using-lstm-bert", "kernel_id": "15673019"}, {"ref": "aishwaryaallada/classification-of-disaster-tweets-pytorch", "kernel_id": "15089071"}, {"ref": "pashupatigupta/seq2seq-machine-translation-with-attention", "kernel_id": "15081052"}, {"ref": "pashupatigupta/project-statistical-auto-correct-system", "kernel_id": "15130344"}, {"ref": "mateus558/disaster-tweets-multinb-sgd-mlp-and-cnn", "kernel_id": "15556897"}, {"ref": "raozjuil/simple-bow-tfidf-vec-naive-bayes", "kernel_id": "15868818"}, {"ref": "anthonylauly/use-glove-embedding-weight-and-lstm-layer", "kernel_id": "15273528"}, {"ref": "anthonylauly/bert-model", "kernel_id": "15318234"}, {"ref": "tylerssssss/huggingface-transformer-and-pytorchlightning", "kernel_id": "15581428"}, {"ref": "ghaiyur/ensemble-models-versiong", "kernel_id": "15118972"}, {"ref": "yashan007/disaster-classification-in-nlp", "kernel_id": "15648359"}, {"ref": "humblescientist/nlp-disaster-tweets-classification", "kernel_id": "15175977"}, {"ref": "siddharth63/text-classification-using-roberta", "kernel_id": "15228720"}, {"ref": "eryash15/why-na-ve-bayes-is-favourite-wow", "kernel_id": "15305521"}, {"ref": "ghaithkhlifi/zindi-competition-ensemble-models-tweet-prediction", "kernel_id": "15218592"}, {"ref": "himakshi2110/using-bert", "kernel_id": "15585661"}, {"ref": "vinaykakara/h2o-automl-model-selection", "kernel_id": "15151476"}, {"ref": "lys620/nlp-simple-code-with-glove-0-78", "kernel_id": "15224976"}, {"ref": "starlordbala/tf-idf-disaster-tweets-xgboost", "kernel_id": "15347728"}, {"ref": "starlordbala/disaster-tweets-xgboost", "kernel_id": "15238281"}, {"ref": "faelk8/nlp-disaster-tweets-beginner-n-gram", "kernel_id": "15892357"}, {"ref": "ajayostawal/nlp-distaster-prediction", "kernel_id": "15917705"}, {"ref": "mohitranjan18/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "15949460"}, {"ref": "lalbabusah/natural-language-processing-with-disaster-tweets", "kernel_id": "15427694"}, {"ref": "andriik86/quick-and-simple-disaster-tweet-classification", "kernel_id": "15249248"}, {"ref": "andriik86/disaster-tweet-classification-with-hf-transformers", "kernel_id": "15158268"}, {"ref": "artemzapara/twitter-feeds-classification-with-glove-embeddings", "kernel_id": "15587647"}, {"ref": "leeminwoo/sklearn-logistic-regression-75-29", "kernel_id": "15630346"}, {"ref": "faressayah/text-analysis-topic-modeling-with-spacy-gensim", "kernel_id": "15619405"}, {"ref": "andreshg/nlp-disaster-tweets-glove-lstm", "kernel_id": "15203187"}, {"ref": "nicolewarinn/nlp-disaster-tweets-electra", "kernel_id": "15645913"}, {"ref": "hyeonjin6/eda-part-nlp-with-disaster-tweets", "kernel_id": "15552484"}, {"ref": "gayathrimoorthy/nlp-disaster-tweet-classifier", "kernel_id": "15493676"}, {"ref": "ryancburke/glove-elmo-bert-co", "kernel_id": "15387504"}, {"ref": "lucasmullers/nlp-tweets-bert", "kernel_id": "15644032"}, {"ref": "muhammadlawal/twitter-disaster-classifier-with-lstm", "kernel_id": "15644622"}, {"ref": "muhammadlawal/tweet-classification-using-cnn", "kernel_id": "15752698"}, {"ref": "raushan07/nlp-with-disaster-tweets", "kernel_id": "15734876"}, {"ref": "harshwalia/twitter-sentiment-analysis", "kernel_id": "15018239"}, {"ref": "kristofszucs/nlp-with-disaster-tweets-mnb-and-bert", "kernel_id": "15622472"}, {"ref": "jerinm/nlp-model-with-disaster-tweets", "kernel_id": "15587052"}, {"ref": "laosdata/tweets-nlp-with-keras", "kernel_id": "15943509"}, {"ref": "dharana23/distaster-prediction", "kernel_id": "15650882"}, {"ref": "zeeshanazad/notebook702602f7c0", "kernel_id": "15371687"}, {"ref": "valentinducros/tp-recherche-valentind", "kernel_id": "15154513"}, {"ref": "anthonyalcouffe/notebook9475705386", "kernel_id": "15298452"}, {"ref": "moeinshariatnia/simple-distilbert-fine-tuning-0-84-lb", "kernel_id": "15618877"}, {"ref": "simrangrewal/disaster-tweets-logistic-regression", "kernel_id": "15002724"}, {"ref": "ranjeetshrivastav/disaster-tweets-eda-glove", "kernel_id": "15938405"}, {"ref": "kaustavgayen/disaster-tweets-prediction-lda-eda", "kernel_id": "15014506"}, {"ref": "amankumar270295/natural-disaster-tweets", "kernel_id": "15688953"}, {"ref": "himanshukumarsharma/deep-neural-network-for-disaster-tweets-detection", "kernel_id": "15610727"}, {"ref": "blackmoffy/moffy-s-nlp-getting-started", "kernel_id": "15504564"}, {"ref": "tanviralamroni/nlp-with-disaster-tweets", "kernel_id": "15455818"}, {"ref": "mikhailkuzmenkov/word2vec-vs-doc2vec", "kernel_id": "15634761"}, {"ref": "mikhailkuzmenkov/analysis-of-the-connection-between-words", "kernel_id": "15643253"}, {"ref": "alievik/disaster-detection-with-bert", "kernel_id": "15353775"}, {"ref": "alievik/disaster-detection-with-lstm", "kernel_id": "15212595"}, {"ref": "tugcekiziltepe/disaster-tweets-naive-bayes-logistic-regression", "kernel_id": "15239666"}, {"ref": "mikanribu/twitter-disaster-eda", "kernel_id": "15717096"}, {"ref": "modalayaswanth/submission-1", "kernel_id": "15938540"}, {"ref": "joshuajansenvanvren/bert-disaster-tweet-classification", "kernel_id": "15627074"}, {"ref": "priyank0101/disaster-tweet-prediction-with-nlp-78-accuracy", "kernel_id": "15442910"}, {"ref": "bhaveshkumar2806/complete-eda-glove", "kernel_id": "15398022"}, {"ref": "jedbell/disaster-detection", "kernel_id": "15722111"}, {"ref": "vamsikrishna500466/nlp-twitter-disaster-v-1-0", "kernel_id": "15531251"}, {"ref": "kelde9/autokeras-tutorial-nlp-binary-classification", "kernel_id": "15752239"}, {"ref": "anik424/nlp-predict-tweets-about-real-disasters-82", "kernel_id": "15062309"}, {"ref": "ashrafulislamemon/natural-language-processing-with-disaster-tweets", "kernel_id": "15455647"}, {"ref": "franvaluch/easy-nlp-for-disaster-tweets-acc-78", "kernel_id": "15384854"}, {"ref": "chiragdo/notebooka50595f1a8", "kernel_id": "15044358"}, {"ref": "limxinnn/nlp-with-disaster-tweets", "kernel_id": "15804524"}, {"ref": "pratiyushmishra/nlp-eda-cleaning-lstm-and-simplified-bert", "kernel_id": "15176865"}, {"ref": "dmitrysokolevskiy/nlp-binary-classification", "kernel_id": "15058442"}, {"ref": "arpitvaghela9210/tweet-classification-using-pretrained-bert", "kernel_id": "15517697"}, {"ref": "yogeshlearn/disaster-lstm-dual-with-glove200d", "kernel_id": "15519506"}, {"ref": "raj5kumar5/disaster-tweets", "kernel_id": "15011678"}, {"ref": "hskbits/nlp-comp", "kernel_id": "15424265"}, {"ref": "adeldenert/adel-alex-f-lix", "kernel_id": "15300883"}, {"ref": "mustafarahimi/nlp-with-disaster-tweets-using-multinomial-nb", "kernel_id": "15519499"}, {"ref": "blackraven666/nlp-svm", "kernel_id": "15391632"}, {"ref": "yashayasha/notebookcc1f36dd40", "kernel_id": "15455976"}, {"ref": "bekzatomashev/notebooke245dd6b6d", "kernel_id": "15455017"}, {"ref": "kartoshe4ka/nlp-on-russian", "kernel_id": "15448435"}, {"ref": "daurentopanov/notebook40123922dd", "kernel_id": "15455715"}, {"ref": "mikhailsarapulov/nlp-uib", "kernel_id": "15455282"}, {"ref": "bkassem/disastor-tweets-cleaning", "kernel_id": "15970275"}, {"ref": "bkassem/disaster-tweets-eda", "kernel_id": "15651187"}, {"ref": "ybshankar010/nlp-basics-for-sentiment-analysis", "kernel_id": "16042408"}, {"ref": "barun2104/commonlit-readability-eda-svd-modeling", "kernel_id": "16774213"}, {"ref": "christianhritter/realornot-transformer-pipe-py", "kernel_id": "16865108"}, {"ref": "arin006/cleaning-the-data-and-predict-using-transformers", "kernel_id": "16238384"}, {"ref": "atamazian/nlp-getting-started-electra-pytorch-lightning", "kernel_id": "16244718"}, {"ref": "erickrf/nlp-for-tweets-from-bag-of-words-to-transformers", "kernel_id": "16002240"}, {"ref": "akarsh1/step-by-step-analysis-of-disaster-tweets", "kernel_id": "16572651"}, {"ref": "gamazic/transformer-with-nontext-features", "kernel_id": "16230903"}, {"ref": "matthiasbachfischer/disaster-tweets-bertweet", "kernel_id": "16680322"}, {"ref": "dikshaaswal/disaster-tweets", "kernel_id": "16515719"}, {"ref": "prawins/nlp-prediction", "kernel_id": "16677872"}, {"ref": "ankitp013/classifying-disaster-tweets-using-lstm", "kernel_id": "16904276"}, {"ref": "neerajmohan/fine-tuning-bert-for-text-classification", "kernel_id": "16615121"}, {"ref": "ketantalwar/nlp-firstdraft", "kernel_id": "16953116"}, {"ref": "saket7788/disaster-tweets-logistic-regression", "kernel_id": "16123348"}, {"ref": "hongpeiyi/roberta-with-pytorch-and-fastai", "kernel_id": "16515934"}, {"ref": "moseswmwong/electra-tweets-classifier", "kernel_id": "16705936"}, {"ref": "cedricsvrn/bert-classifier", "kernel_id": "16110732"}, {"ref": "starlordbala/fy-bilstm", "kernel_id": "16268839"}, {"ref": "mohamedtaha7/baseline-nlp", "kernel_id": "16993033"}, {"ref": "faelk8/nlp-lstm-beginner", "kernel_id": "16022618"}, {"ref": "shubh247/nlp-from-beginner-to-expert", "kernel_id": "16015451"}, {"ref": "tomteng/text-classification-with-bert-xgboost", "kernel_id": "16284122"}, {"ref": "gsasikiran/sbert-gaussian-nb-linear-svc-rbf-svc", "kernel_id": "16488941"}, {"ref": "naokiokada/natural-language-processing-with-disaster-tweets", "kernel_id": "16579327"}, {"ref": "plyger/notebook268f8a3109", "kernel_id": "16892868"}, {"ref": "razerspeed/eda-bert-pytorch-custom-output-layer", "kernel_id": "16446710"}, {"ref": "mohamedahmedae/nlp-with-disaster-tweets-v2", "kernel_id": "16255978"}, {"ref": "donmarch14/disaster-tweets-prediction-nlp-guide", "kernel_id": "16446145"}, {"ref": "yiehyuheng/disaster-tweets-glove-stacking-ann-lstm", "kernel_id": "16908563"}, {"ref": "marioeid/nlp-with-disaster-tweets-bag-of-words-model", "kernel_id": "16169938"}, {"ref": "faressayah/transfer-learning-for-natural-language-processing", "kernel_id": "16597633"}, {"ref": "prachi13/glove-embeddings-using-lstm", "kernel_id": "16374415"}, {"ref": "seungjo2/nlp-tweet-practice", "kernel_id": "16949337"}, {"ref": "rashmi016/disaster-tweets-classification-bow-tfidf-glove", "kernel_id": "16571212"}, {"ref": "songseungwon/nlp-quick-start-for-newbie-with-9steps", "kernel_id": "16724742"}, {"ref": "faridsharaf/disaster-tweets", "kernel_id": "16233916"}, {"ref": "ahmedtrifa/first-nlp-notebook", "kernel_id": "16654517"}, {"ref": "alifvianmarco/disaster-tweets-sentiment", "kernel_id": "16725838"}, {"ref": "anxusan/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "16307367"}, {"ref": "laosdata/lgbmclassifier-with-roberta", "kernel_id": "16538948"}, {"ref": "moemenalaa97/assignment6", "kernel_id": "16234623"}, {"ref": "lucapaffarini/multilingual-disaster-response-messages", "kernel_id": "16350306"}, {"ref": "hannaliavoshka/bert-with-disaster-tweets", "kernel_id": "16264787"}, {"ref": "jaiminm/disaster-tweet-nlp-eda-data-cleaning-bert", "kernel_id": "16279747"}, {"ref": "euginazhou/preprocessing", "kernel_id": "16554560"}, {"ref": "naveenmsd/module-3-extracting-negative-tweets", "kernel_id": "16338894"}, {"ref": "aishwarya2490/commonlit-readability-prize-eda-cleaning-data", "kernel_id": "16010623"}, {"ref": "saotome/classification-bert", "kernel_id": "16186337"}, {"ref": "ashok4kaggle/eda-and-tf-idf-wordembedding-word2vec-glove", "kernel_id": "16944916"}, {"ref": "anggidwifiani/simple-data-science-codes-to-tweets-prediction", "kernel_id": "16197712"}, {"ref": "wangyuren/prediction-of-disaster-tweets-by-bert", "kernel_id": "16262517"}, {"ref": "basilb2s/disaster-tweet-classification-with-lstm", "kernel_id": "16717681"}, {"ref": "stanbergey/nlp-project", "kernel_id": "16699561"}, {"ref": "kostasmar/nlp-disaster-tweets-text2emotion-vader", "kernel_id": "16062656"}, {"ref": "nikitaglazunov/disaster-tweets-challenge-high-accuracy", "kernel_id": "16281958"}, {"ref": "dqhdqmcttdqx/word2vec-skipgram-pytorch", "kernel_id": "16448789"}, {"ref": "jxm222/disaster-basic-code", "kernel_id": "16258682"}, {"ref": "amansingh027/disaster-tweets", "kernel_id": "16798161"}, {"ref": "foramkavathiya/nlp-disaster-tweets", "kernel_id": "16785771"}, {"ref": "omarswelam/disaster-predictions", "kernel_id": "16154328"}, {"ref": "indranisen06/countvectorizer-tfidf-for-disaster-tweets", "kernel_id": "16505067"}, {"ref": "urstrulysai/bow-tf-idf-models-with-basic-lr-0-80-score", "kernel_id": "16578543"}, {"ref": "shamaevmivt20/19-april-nlp-word2vec-tf-idf", "kernel_id": "16299025"}, {"ref": "pavlovaivt20/nlp-getting-started", "kernel_id": "16302634"}, {"ref": "kartikbandarwad/nlp-disaster-a-complete-guide-to-nlp-for-beginners", "kernel_id": "16805850"}, {"ref": "petrovegor/nlp-getting-started-fiit16-pe", "kernel_id": "16304220"}, {"ref": "dayankoo/nlp-getting-started", "kernel_id": "16314722"}, {"ref": "kiesik98/makarov-nlp-getting-started", "kernel_id": "16508705"}, {"ref": "baokar7/disaster-tweets-with-bag-of-n-grams-for-beginners", "kernel_id": "16819267"}, {"ref": "heonh0/2-1-disaster-tweet-clf-bi-lstm-conv-bert", "kernel_id": "16163878"}, {"ref": "maxreis/nlp-disaster-tweets-with-h2o-auto-ml", "kernel_id": "16160221"}, {"ref": "cancan077/kc-nlp-tweet-r-or-f", "kernel_id": "16225621"}, {"ref": "amiraabdelalim/notebook13f050e458", "kernel_id": "16961234"}, {"ref": "ashwinramachandran/nlp-bert", "kernel_id": "16916386"}, {"ref": "taylanmerttonka/rnn-nlp-disaster-tweet-detecter", "kernel_id": "16978671"}, {"ref": "gazalmatharu/basic-nlp-code-for-disaster-tweets", "kernel_id": "16753243"}, {"ref": "yossawadeepromwong/disaster-and-nondisaster-tweets", "kernel_id": "16594963"}, {"ref": "bkassem/disaster-tweet-bert", "kernel_id": "16026924"}, {"ref": "bkassem/neural-graph-learning-tweet-disaster", "kernel_id": "16618836"}, {"ref": "bkassem/adversarial-learning-tweets-disaster", "kernel_id": "16625995"}, {"ref": "mateussouza260/natural-language-processing-with-disaster-tweets", "kernel_id": "16052326"}, {"ref": "mufeichen/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "16300454"}, {"ref": "christopherschiefer/notebookf2a3bdae16", "kernel_id": "16268246"}, {"ref": "tttttomteng/multi-dropout-aug-oof-original", "kernel_id": "16340141"}, {"ref": "doctri/disaster-tweets-with-bag-of-words-tf-idf", "kernel_id": "16581194"}, {"ref": "iosifmazan/disaster-tweets-one-more-implementation", "kernel_id": "16616084"}, {"ref": "anupamaaggarwal/notebook9e41a4f0df", "kernel_id": "17399832"}, {"ref": "ntlawrence/notebook164c423310", "kernel_id": "17296843"}, {"ref": "puff1n/lstm-attention-layer-classification", "kernel_id": "17546066"}, {"ref": "adityabhat/disaster-tweets-naive-bayes-from-scratch", "kernel_id": "17249641"}, {"ref": "lilkaskitc/nlp-disaster-tweet", "kernel_id": "17978363"}, {"ref": "rsesha/disaster-nlp-tweets-with-swivel-84-accuracy", "kernel_id": "17471138"}, {"ref": "liebycardoso/nlp-with-disaster-tweets-tensorflow", "kernel_id": "17497660"}, {"ref": "shams1/nlp-o", "kernel_id": "17327201"}, {"ref": "mattiabona/notebook7d3f4a5057", "kernel_id": "17425446"}, {"ref": "abhishek1aa/svc-on-sentence-embeddings", "kernel_id": "17901510"}, {"ref": "dell4010/tweet-classification-with-viz-and-model-explainer", "kernel_id": "17585393"}, {"ref": "raozjuil/disaster-tweets-lstm-word-embeddings", "kernel_id": "17382052"}, {"ref": "sumedhdataaspirant/simple-count-linear-solution-0-80-score", "kernel_id": "17932600"}, {"ref": "shivam199/disastertweetclaassification-lstm-glove-embeddings", "kernel_id": "17119321"}, {"ref": "tej1234/nlp-disaster-basic-getting-started", "kernel_id": "17263912"}, {"ref": "tej1234/nlp-disaster-eda-and-pre-processing", "kernel_id": "17272533"}, {"ref": "peterb123/disaster-tweets-nlp", "kernel_id": "17592792"}, {"ref": "cassin4996/word2vec-fasttext-doc2vec-rnn-gru-lstm", "kernel_id": "17502213"}, {"ref": "natthasit/nlp-starter", "kernel_id": "17344333"}, {"ref": "arunkumar070/nlp-disaster-tweets", "kernel_id": "17773104"}, {"ref": "ms18a010/natural-language-processing", "kernel_id": "17121625"}, {"ref": "vishalkesti/bert-cnn-for-disaster-tweets", "kernel_id": "17310994"}, {"ref": "blossom1994/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "17500240"}, {"ref": "blossom1994/naderi-tweets", "kernel_id": "17711251"}, {"ref": "faelk8/bert-basic", "kernel_id": "17083254"}, {"ref": "pharamund/td-idf-test1", "kernel_id": "17401410"}, {"ref": "behdadkarimi/nlp-with-disaster-tweets-general", "kernel_id": "17382354"}, {"ref": "ludwigstumpp/tutorial-disaster-tweets-dataset", "kernel_id": "17263318"}, {"ref": "trancuong59196/cuongtm27-eda-bag-of-words-tf-idf", "kernel_id": "17628564"}, {"ref": "danielbeltran/tensorflow-bert-nlp-on-disaster-tweets", "kernel_id": "17985512"}, {"ref": "jl18pg052/disaster-prediction-using-bert", "kernel_id": "17876920"}, {"ref": "shubham0204/tweet-classification-with-mlp-mixers-tf-keras", "kernel_id": "17573784"}, {"ref": "virenm8577/virendra", "kernel_id": "17126031"}, {"ref": "the0electronic0guy/nlp-with-disaster-tweets", "kernel_id": "17741767"}, {"ref": "sherlockey/nlp-disaster-tweets", "kernel_id": "17963474"}, {"ref": "hugomuselli/disaster-tweets-prediction-using-nlp-2", "kernel_id": "17720929"}, {"ref": "alankarkharbadikar/disaster-tweets-bert-and-naive-bayes", "kernel_id": "17447041"}, {"ref": "stroudd/disaster-tweets", "kernel_id": "17174978"}, {"ref": "georrv/tarea-9-alvaro-retana-villalobos", "kernel_id": "17995801"}, {"ref": "bannourchaker/nlp-pro-pipe-eda-embedding-bow-ml-dl-confirmed", "kernel_id": "17498681"}, {"ref": "manjeetkumar7/nlp-with-disaster-tweet-using-knn", "kernel_id": "17927655"}, {"ref": "khosiyatsabirova/nlp-disaster-tweets", "kernel_id": "17818020"}, {"ref": "aryankolapkar/nlp-classification", "kernel_id": "17722332"}, {"ref": "jeandinco/disaster-prediction-xgboost", "kernel_id": "17685673"}, {"ref": "muskanmalviya/disaster-tweets", "kernel_id": "17026189"}, {"ref": "preatcher/tweets-classification-using-bert", "kernel_id": "17104365"}, {"ref": "bernardtieku/nyame-bekyere", "kernel_id": "17865505"}, {"ref": "pranchalgupta/disaster-tweet-classification-using-nlp-and-lstm", "kernel_id": "17587424"}, {"ref": "bumjunkoo/roberta-for-sentiment-classification", "kernel_id": "17363319"}, {"ref": "samiptimalsena/a-beginner-friendly-approach", "kernel_id": "17058760"}, {"ref": "hemanthkumarkarangi/logistic-model-disaster-tweet", "kernel_id": "17892896"}, {"ref": "benslijaya/project-nlp", "kernel_id": "17925590"}, {"ref": "sauravjoshi23/text-classification-using-siamesenet-glove", "kernel_id": "17310259"}, {"ref": "suhitasaha97/nlp-bert-contest", "kernel_id": "17089146"}, {"ref": "rahulsingla5209/disaster-tweet-classifier-randomforest-regression", "kernel_id": "17139935"}, {"ref": "theblackmamba31/nlp-with-disaster-tweet", "kernel_id": "17873758"}, {"ref": "riyadmorshedshoeb/using-tfidf-model-comparison", "kernel_id": "17365333"}, {"ref": "riyadmorshedshoeb/disaster-tweets-feature-extraction", "kernel_id": "17448823"}, {"ref": "ashishsingh226/disaster-tweet-classification-using-distil-bert", "kernel_id": "17543380"}, {"ref": "abhipise2704/nlp-using-roberta", "kernel_id": "17858233"}, {"ref": "urstrulysai/nlp-disaster-tweets-glove-word2vec-bilstm", "kernel_id": "17009333"}, {"ref": "urstrulysai/nlp-disaster-tweets-bert-using-tf-hub", "kernel_id": "17012020"}, {"ref": "anandhuh/word-cloud-in-python-for-beginners", "kernel_id": "17738425"}, {"ref": "danieldorosz/bert-feature-extraction-and-fine-tuning", "kernel_id": "17056491"}, {"ref": "xxanderr/disaster-tweets-bert-and-fastai", "kernel_id": "17379131"}, {"ref": "jerifate/disaster-tweet-tensorflow-with-glove", "kernel_id": "17351439"}, {"ref": "sandropalacios/naive-bayes-disaster-tweets", "kernel_id": "17074475"}, {"ref": "mohamedabdelghani/baseline-modeling", "kernel_id": "17499506"}, {"ref": "angyalfold/hugging-face-bert-with-custom-classifier-pytorch", "kernel_id": "17063327"}, {"ref": "raminbakhtiyari/natural-language-processing-with-disaster-tweets", "kernel_id": "17238807"}, {"ref": "pranjalchatterjee/word-vectors-svc-on-nlp-with-disaster-tweets", "kernel_id": "17996426"}, {"ref": "alexandratakov/predict-disasters-tweets-with-tfidf-and-logreg", "kernel_id": "17411728"}, {"ref": "taoye0527/nlp-with-disaster-tweets", "kernel_id": "17733566"}, {"ref": "purvitsharma/nlp-tweets-spacy", "kernel_id": "17356979"}, {"ref": "alainrouillon/disaster-tweets-classification-with-bert", "kernel_id": "17971414"}, {"ref": "aviral23/lr-model-disaster-tweets", "kernel_id": "17482948"}, {"ref": "bochrabenjaballah/nlp-with-disaster-tweets", "kernel_id": "17453023"}, {"ref": "samibenhsan/sbh-advanced-nlp-techniques", "kernel_id": "17338867"}, {"ref": "maherdissem/disaster-tweets-classification", "kernel_id": "17931625"}, {"ref": "andrewdrobovich/natural-language-processing-with-disaster-tweets", "kernel_id": "17056172"}, {"ref": "nicosolitana/classifying-disaster-tweets-using-lr-tf-idf", "kernel_id": "17515732"}, {"ref": "nicosolitana/classifying-disaster-tweets-using-lr-word2vec", "kernel_id": "17539520"}, {"ref": "drcrabkg/tweet-sentimental-ml-algo-nlp-beginner", "kernel_id": "17334684"}, {"ref": "mohitnirgulkar/disaster-tweets-classification-using-ml", "kernel_id": "17696399"}, {"ref": "mohitnirgulkar/disaster-tweets-classification-using-deep-learning", "kernel_id": "17691511"}, {"ref": "nayibsarmiento/nlp-disaster-tweets", "kernel_id": "17976036"}, {"ref": "helionmendanha/disaster-classification", "kernel_id": "17317142"}, {"ref": "clairepiquette/nlp-disaster-tweets-2-0", "kernel_id": "17293032"}, {"ref": "shivam017arora/disastrous-tweets-classification-w-deep-learning", "kernel_id": "17112313"}, {"ref": "vedantkadam996/disaster-tweet-classification", "kernel_id": "17018719"}, {"ref": "pinkaxe/bert-with-transformers-library", "kernel_id": "17507599"}, {"ref": "pinkaxe/pytorch-with-embeddingbag-layer", "kernel_id": "17298282"}, {"ref": "youngeunedenlee/nlp-disaster-tweets-glove-word2vec-bilstm", "kernel_id": "17031481"}, {"ref": "noritomowatanabe/nlp-laser-embeddings-keras", "kernel_id": "17582575"}, {"ref": "estevaocavalcanti/notebook0510bb065b", "kernel_id": "17424377"}, {"ref": "ankarsingh/disaster-tweet-classification-using-transformers", "kernel_id": "17772825"}, {"ref": "kmishmael/nlp-with-disaster-tweets", "kernel_id": "17666322"}, {"ref": "abhishek/notebook160a4ac0b8", "kernel_id": "18946719"}, {"ref": "ambarish/tweets-prediction-using-conv1d-and-word-embeddings", "kernel_id": "18588011"}, {"ref": "ambarish/tweets-prediction-using-lstm-and-word-embeddings", "kernel_id": "18592274"}, {"ref": "amanvirk/nlp-tutorial-disaster-tweet-prediction", "kernel_id": "18261414"}, {"ref": "prernahrmth/nlp-disastertweets-tfidf-lr", "kernel_id": "18965911"}, {"ref": "shivarama/twitter-disaster-nlp-eda", "kernel_id": "18094932"}, {"ref": "bhavesh302/bag-of-word-model-75-accuracy", "kernel_id": "18574903"}, {"ref": "julian3833/1-learning-out-of-the-box-bert-lb-0-8102", "kernel_id": "18279619"}, {"ref": "diwang137/notebooke922c1e276", "kernel_id": "18475416"}, {"ref": "roshanfande/classification-with-rf", "kernel_id": "18574165"}, {"ref": "mnavaidd/roberta-base-pytorch-for-tweet-classification", "kernel_id": "18339437"}, {"ref": "vocean/disaster-tweets-quick", "kernel_id": "18485723"}, {"ref": "anvesh1997/nlp-tweets", "kernel_id": "18533361"}, {"ref": "juandaniel/tarea-9", "kernel_id": "18127451"}, {"ref": "sid321axn/prediction-of-disaster-tweets-using-lstm", "kernel_id": "18284948"}, {"ref": "sid321axn/prediction-of-disaster-using-bert-model", "kernel_id": "18664542"}, {"ref": "echo9k/beat-the-base-model", "kernel_id": "18721167"}, {"ref": "apoorvsingh090/npl-disaster-tweets-bow-accuracy-0-79", "kernel_id": "18882042"}, {"ref": "ayhampar/natural-language-processing-with-disaster", "kernel_id": "18013533"}, {"ref": "vesuvius13/disaster-tweets-texthero-spacy-and-xgboost", "kernel_id": "18503540"}, {"ref": "ankursxn/nlp-with-glovew2v-lstm", "kernel_id": "18579845"}, {"ref": "vidit11/nlp-with-disaster-tweets", "kernel_id": "18342436"}, {"ref": "vishaldeoprasad/text-analysis-topic-modelling-with-spacy-gensim", "kernel_id": "18329551"}, {"ref": "kad99kev/disaster-tweets-using-bert", "kernel_id": "18115446"}, {"ref": "r17v1hasan/nlp-classification-with-lstm", "kernel_id": "18481952"}, {"ref": "ketangangal/tweets-classification", "kernel_id": "18798995"}, {"ref": "alirezaazadbakht/nn-homework-nlp", "kernel_id": "18358104"}, {"ref": "shweta2407/tweet-classification-using-machine-deep-learning", "kernel_id": "18259700"}, {"ref": "yashwanthm0330/nlp-glove-bert-tf-idf-lstm-explained", "kernel_id": "18948488"}, {"ref": "naim99/electra-tweets-classifier", "kernel_id": "18126416"}, {"ref": "wawa56/simplelogisticregresssio-tensorflow", "kernel_id": "18747938"}, {"ref": "datastrophy/disaster-tweet-distilbert", "kernel_id": "18368239"}, {"ref": "vaasudevans/transfer-learning-universal-sentence-encoder", "kernel_id": "18446125"}, {"ref": "emrearuk/rnn-model-tweets-sentiment-analysis", "kernel_id": "18006706"}, {"ref": "alifvianmarco/nlp-disaster-tweets-classification", "kernel_id": "18956013"}, {"ref": "mohinitambade/tweets-classification", "kernel_id": "18820260"}, {"ref": "frankmollard/nlp-a-gentle-introduction-lstm-word2vec-bert", "kernel_id": "18780899"}, {"ref": "prashantkumar12/nlp-with-disaster-tweets-dl", "kernel_id": "18014250"}, {"ref": "davidanimaddo/nlp-disaster-tweets-tensorflow-spacy-bert", "kernel_id": "18893131"}, {"ref": "praveenmaripeti/nlp-with-disaster-tweets-using-keras-0-80018", "kernel_id": "18395412"}, {"ref": "hiroshiotagaki/keras-mulitiple-inputs-with-glove-r", "kernel_id": "18739248"}, {"ref": "hiroshiotagaki/a-simple-xgboost-for-nlp", "kernel_id": "18288733"}, {"ref": "lonnieqin/text-classification-with-sklearn", "kernel_id": "18953094"}, {"ref": "jonysalgadofilho/bert-for-tweet-dissaster-prediction", "kernel_id": "18997432"}, {"ref": "jackc123/with-theory-fine-tuning-distilbert", "kernel_id": "18398566"}, {"ref": "deansher/dean-s-disaster-tweets", "kernel_id": "18050149"}, {"ref": "rohanlone4/disaster-tweets-nlp-with-tensorflow", "kernel_id": "18468892"}, {"ref": "namansood/nlp-xgboost-bert-glove-rnns-vectorizers", "kernel_id": "18754169"}, {"ref": "sameersanjaybhosale/classification-of-tweets-for-disaster-management", "kernel_id": "18486008"}, {"ref": "ashishdeshmukh123/nlp-for-tweeter-disaster-information", "kernel_id": "18902298"}, {"ref": "nitinkhandagale/disaster-tweets-classification", "kernel_id": "18939935"}, {"ref": "khushishahh/eda-and-simple-lstm", "kernel_id": "18789910"}, {"ref": "thomaspetry/tomp-disaster-tweets", "kernel_id": "18250974"}, {"ref": "mohitkarelia/nlp-on-tweets", "kernel_id": "18894915"}, {"ref": "rawaaelghali/real-or-not-nlp-with-disaster-tweets", "kernel_id": "18288660"}, {"ref": "shantanusoni/disaster-sentiment-analysis", "kernel_id": "18422266"}, {"ref": "krishnamore/complete-eda-glove-rnn-lstm-gru-birectional-bert", "kernel_id": "18103825"}, {"ref": "krishnamore/data-augmentation-in-nlp-using-nlpaug", "kernel_id": "18831384"}, {"ref": "dipankarmitra/notebookd8ab50dfd3", "kernel_id": "18135062"}, {"ref": "lerekoqholosha/tweets-classification", "kernel_id": "18472709"}, {"ref": "ankurkrypton/disaster", "kernel_id": "18341776"}, {"ref": "umangtank/natural-language-processing-with-disaster-tweets", "kernel_id": "18005759"}, {"ref": "zahrajai/nlp-visualization-eda-glove", "kernel_id": "18509186"}, {"ref": "israelcastilloh/bert-model-disaster-tweets", "kernel_id": "18885741"}, {"ref": "mhslearner/automl-for-nlp-autogluon", "kernel_id": "18409524"}, {"ref": "saiabhitejachepuri/diaster-tweets", "kernel_id": "18809493"}, {"ref": "nikosraftogiannis/predicting-disaster-with-neural-networks-lstm", "kernel_id": "18693320"}, {"ref": "vasavivaraganti/nlp-project", "kernel_id": "18712191"}, {"ref": "manojgadde/beginner-bert-fine-tuning-disaster-tweets", "kernel_id": "18289249"}, {"ref": "amartyanambiar/beginner-nltk-must-know-basics", "kernel_id": "18621151"}, {"ref": "anvithaaravinda/disaster-tweet-classification", "kernel_id": "18121365"}, {"ref": "atultyagi2000/disaster-tweets-prediction-with-bert-1", "kernel_id": "18721530"}, {"ref": "jagunn/nlp-simple-guide", "kernel_id": "18370998"}, {"ref": "nishidamunehumi/fork2-f26c1946c7", "kernel_id": "18610257"}, {"ref": "nishidamunehumi/fork1-f26c1946c7", "kernel_id": "18603468"}, {"ref": "nishidamunehumi/edit-notebook6594560f23", "kernel_id": "18774599"}, {"ref": "puppalapriyanka/priyanka-puppala-natural-language-processing-with", "kernel_id": "18226002"}, {"ref": "iamfahady/from-eda-to-inference-pytorch-roberta", "kernel_id": "18947366"}, {"ref": "sunnyraj94kaggle/twitter-disaster-tweet-classification", "kernel_id": "18106243"}, {"ref": "anshalsingh/disaster-tweet-analysis", "kernel_id": "18675085"}, {"ref": "elemento/nlp-disastertweets-ml", "kernel_id": "18905270"}, {"ref": "angelicasaenz/notebook86a36f0c68", "kernel_id": "18072514"}, {"ref": "jarden103/nlp-disaster-tweet-using-linear-regression", "kernel_id": "18261017"}, {"ref": "hitman4571817/real-or-not-nlp-with-disaster-tweets", "kernel_id": "18530119"}, {"ref": "fmakarem/disaster-tweets-above-81-accuracy", "kernel_id": "18807412"}, {"ref": "fanglidayan/4-nlp-disaster-tweets", "kernel_id": "18470243"}, {"ref": "orlandosols1294/o-solis-9", "kernel_id": "18128576"}, {"ref": "elianeth/nlp-tweets", "kernel_id": "18723591"}, {"ref": "xdxdydz/nlp-application-determination-of-disaster-tweets", "kernel_id": "18435136"}, {"ref": "guilhermegpinto/r-nlp-with-disaster-tweets", "kernel_id": "18043717"}, {"ref": "tttaaaggg/notebookf4aaa54b50", "kernel_id": "18457323"}, {"ref": "tttaaaggg/notebook6594560f23", "kernel_id": "18587325"}, {"ref": "balavashan/disaster-tweets-nlp", "kernel_id": "18987412"}, {"ref": "fernandobenavidesv/tweets-disaster", "kernel_id": "18104800"}, {"ref": "hyunhp/basic-eda-cleaning-and-glove-written-by-shahules", "kernel_id": "18774973"}, {"ref": "rizkykiky/disaster-tweets-nlp-with-bert-and-tensorflow", "kernel_id": "18818225"}, {"ref": "kodalli/nlp-disaster-tweets-random-forest", "kernel_id": "18645040"}, {"ref": "eadrngrrsnchz/notebook-nlp-disaster-tweet", "kernel_id": "18129345"}, {"ref": "gustavoliberado/nlptwitter", "kernel_id": "18110568"}, {"ref": "freddyguzman/notebook3cdd7deb05", "kernel_id": "18128306"}, {"ref": "moisespessoa/tarea-nlp", "kernel_id": "18125936"}, {"ref": "yugalkishore/disaster-tweets-eda-and-classification", "kernel_id": "18366425"}, {"ref": "ebarin/nlp-with-disaster-tweet-by-ds6", "kernel_id": "18593651"}, {"ref": "awajiphoto/notebookc3d667f338", "kernel_id": "18287837"}, {"ref": "satosatototototo/fork-of-nlp-getting-started2-1fd2ee", "kernel_id": "18370007"}, {"ref": "satosatototototo/nlp-getting-started2", "kernel_id": "18172500"}, {"ref": "ytaka0211/simple-classification-of-disaster-tweets", "kernel_id": "18494806"}, {"ref": "dogboark/notebook1a4c4697b1", "kernel_id": "18461489"}, {"ref": "ryt031/notebookcdeee821d1", "kernel_id": "18661439"}, {"ref": "santaf/notebook1glove", "kernel_id": "18287778"}, {"ref": "radantiitna/notebook821416e302", "kernel_id": "18394860"}, {"ref": "yuukimo/2021-07-24", "kernel_id": "18800274"}, {"ref": "yuukimo/bert-test", "kernel_id": "18507165"}, {"ref": "yuukimo/notebook9f2417bd09", "kernel_id": "18495759"}, {"ref": "yuukimo/bert-no-val", "kernel_id": "18535050"}, {"ref": "yuukimo/maeshori", "kernel_id": "18595141"}, {"ref": "kawanishik/notebookfaf652ef15", "kernel_id": "18462764"}, {"ref": "kawanishik/notebookf3b31bb6e5", "kernel_id": "18461875"}, {"ref": "takezawa/maeshori", "kernel_id": "18614006"}, {"ref": "shagio/class-data-science", "kernel_id": "18288193"}, {"ref": "kawasakimorio/notebookc3d667f338", "kernel_id": "18287958"}, {"ref": "areanullearn/notebookd67bdfa3c0", "kernel_id": "18287083"}, {"ref": "amitani1230/notebook70c23e3bde", "kernel_id": "18458551"}, {"ref": "hajimekishimoto/nlp-disaster-tweet", "kernel_id": "18643434"}, {"ref": "hajimekishimoto/disaster-tweets-827c4c", "kernel_id": "18651456"}, {"ref": "hajimekishimoto/notebook4899f6f22b", "kernel_id": "18459525"}, {"ref": "hajimekishimoto/disaster-tweet-analysis-random-forest", "kernel_id": "18679119"}, {"ref": "hajimekishimoto/nlptwitter", "kernel_id": "18968492"}, {"ref": "jnyfrtn/notebookba6150a40d", "kernel_id": "18037813"}, {"ref": "morijun0712/notebook7d73c18159", "kernel_id": "18134701"}, {"ref": "iwasin514gmailcom/simple-nlp", "kernel_id": "18612500"}, {"ref": "prakashkumark/nlp-diaster-tweet", "kernel_id": "18083231"}, {"ref": "rahupau/nlp-disaster-tweets", "kernel_id": "18906571"}, {"ref": "sharomeethan/disaster-tweet-classifier", "kernel_id": "18709537"}, {"ref": "keivanipchihagh/nlp-with-disaster-tweets-bilstm-bert", "kernel_id": "18973168"}, {"ref": "ragav208/disaster-pred-bert", "kernel_id": "19149556"}, {"ref": "bkanupam/disaster-tweets-prediction", "kernel_id": "19932865"}, {"ref": "mbalcerzak/rnn-lstm-classification-pytorch", "kernel_id": "19518264"}, {"ref": "sohaelshafey/finetune-bert-disaster-tweets-classification", "kernel_id": "19181160"}, {"ref": "palakjn/flair-for-classification", "kernel_id": "19902915"}, {"ref": "palakjn/preprocess-wordcloud-n-grams-textblob", "kernel_id": "19877968"}, {"ref": "shenurisumanasekara/disaster-tweets", "kernel_id": "19475939"}, {"ref": "nageshwari/nlp-disaster-tweets", "kernel_id": "19391443"}, {"ref": "shwetaramesh/basic-nlp-disaster-tweets", "kernel_id": "19277141"}, {"ref": "rahulrky/bag-of-words", "kernel_id": "19276979"}, {"ref": "deeshantk/twitter-dis", "kernel_id": "19986073"}, {"ref": "hassanrady/bert-tf-0-847", "kernel_id": "19697231"}, {"ref": "abdouaziz/bert-pytorch", "kernel_id": "19821082"}, {"ref": "asmohitt/disaster-tweet-prediction-project", "kernel_id": "19982965"}, {"ref": "chamecall/disastertweets-train", "kernel_id": "19147392"}, {"ref": "chamecall/disastertweets-sampling", "kernel_id": "19151042"}, {"ref": "chamecall/disastertweets-inference", "kernel_id": "19154331"}, {"ref": "megha143/nlp-disaster-tweets", "kernel_id": "19727048"}, {"ref": "saahilafaq/eda-tf-idf-classifier", "kernel_id": "19201603"}, {"ref": "andres6garzon/getting-started-nlp-classification-using-gpt-2", "kernel_id": "19017291"}, {"ref": "anasbot/natural-language-processing-with-disaster-tweets", "kernel_id": "19964444"}, {"ref": "manasvardhan/a-beginner-s-guide-to-sentiment-analysis", "kernel_id": "19594068"}, {"ref": "sumishog/eda-nlp-with-spacy", "kernel_id": "19253636"}, {"ref": "lonnieqin/disaster-tweets-classification-with-tfhub", "kernel_id": "19805798"}, {"ref": "nisarg3patel/disaster-tweets-predict-using-glove-wordvec-bert", "kernel_id": "19400238"}, {"ref": "gehadabdelghany/disastertweets", "kernel_id": "19972191"}, {"ref": "vernondsouza123/intro-into-nlp-tweet-sentiment-detection", "kernel_id": "19309192"}, {"ref": "dasinenisaideepthi/nlp-with-diaster-tweet", "kernel_id": "19975726"}, {"ref": "arnabs007/disaster-tweets-with-bert-on-tpu-using-keras", "kernel_id": "19079889"}, {"ref": "tausifiqbal10/nltk-spacy-with-bert", "kernel_id": "19954469"}, {"ref": "michaelwilder/disaster-tweets-as-an-introduction-to-nlp", "kernel_id": "19386539"}, {"ref": "xaviernuelgavald/nlp-disaster-tweets", "kernel_id": "19149209"}, {"ref": "digaamberdhamija/classification-using-roberta-based-on-f1-score", "kernel_id": "19206368"}, {"ref": "tylerrosacker/bertweet-transfer-learning", "kernel_id": "19958768"}, {"ref": "parvezsohail/tweets-disaster-using-transfer-learning", "kernel_id": "19545421"}, {"ref": "dawidcegielski/disaster-tweets-with-tensorflow-and-glove", "kernel_id": "19644607"}, {"ref": "nagarjuna2997/natural-language-processing", "kernel_id": "19901601"}, {"ref": "liuyixi/nlp-getting-started-tutorial", "kernel_id": "19012289"}, {"ref": "omarelbanaoui/nlp-for-tweet-disaster-bert-tfhub", "kernel_id": "19660637"}, {"ref": "ellaleee/nlp-disaster-tweet-glove-lstm-bert", "kernel_id": "19826647"}, {"ref": "anjalipujani/disaster-tweets-using-nlp", "kernel_id": "19016514"}, {"ref": "elemento/nlp-disastertweets-dl", "kernel_id": "19368245"}, {"ref": "kensjourney/baseline-model-naive-bayes-01", "kernel_id": "19975963"}, {"ref": "anuvagoyal/dnce-nlp-disaster-tweets", "kernel_id": "19848918"}, {"ref": "sahasourav17/74-accuracy-in-disaster-tweets", "kernel_id": "19269932"}, {"ref": "brandonbenton/nlp-with-disaster-tweets", "kernel_id": "19319328"}, {"ref": "yogeshwaranma/nlp-my-try-2", "kernel_id": "19560973"}, {"ref": "rizkykiky/bert-tensorflow-tpu-twitter", "kernel_id": "19733086"}, {"ref": "fadyelkbeer/nlp-getting-started", "kernel_id": "19654036"}, {"ref": "ilyessbenmessaoud/natural-language-processing-with-disaster-tweets", "kernel_id": "19959007"}, {"ref": "imanmkhamis/tweets-disaster-prediction-using-rnns", "kernel_id": "19907407"}, {"ref": "imanmkhamis/cnn-rnn-with-glove", "kernel_id": "19903778"}, {"ref": "timothyharrington/rnn-disaster-tweets", "kernel_id": "19973001"}, {"ref": "mitishaagarwal/nlp-tweets", "kernel_id": "19658917"}, {"ref": "halimeyesir/notebook0199765e6e", "kernel_id": "19463949"}, {"ref": "degrossihugo/bert-spacy-nlp-from-disaster-tweets", "kernel_id": "19529731"}, {"ref": "abhishekshimpi31/disaster-tweets-prediction", "kernel_id": "19961998"}, {"ref": "esratmaria/tweet-prediction-nlp-processing-data-cleaning", "kernel_id": "19823789"}, {"ref": "gaurav41/nlp-with-disaster-tweets-bert-fine-tune", "kernel_id": "20620698"}, {"ref": "ankittomar1/nlp-classification", "kernel_id": "20312450"}, {"ref": "sharmasalil/disaster-tweet", "kernel_id": "20715692"}, {"ref": "bkanupam/disaster-tweets-prediction-101", "kernel_id": "20173722"}, {"ref": "iraqai/tf-bert-tweet-classifaction-lb0-82", "kernel_id": "20113787"}, {"ref": "christodoulos/disaster-tweets-top-8-w-bert-transfer-learning", "kernel_id": "20346647"}, {"ref": "skiller/no-torch-bert-finetuning-tf-top-5", "kernel_id": "20331371"}, {"ref": "skiller/yes-torch-bert-finetuning-top-5", "kernel_id": "20456478"}, {"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "mathnery/nlp-natural-language-processing-with-disaster-tt", "kernel_id": "20247591"}, {"ref": "shubhamhegade26/nlp-with-deep-learning", "kernel_id": "20495896"}, {"ref": "fariha23/nlp-tweets", "kernel_id": "20170661"}, {"ref": "eneszvo/ner-named-entity-recognition-tutorial", "kernel_id": "20082957"}, {"ref": "izwauld/nlp-disaster-tweets-shallow-bilstm-w-attention", "kernel_id": "20676739"}, {"ref": "crprpr/clasificaci-n-de-texto-tensorflow-transformers", "kernel_id": "20429762"}, {"ref": "djagatiya/nlp-with-tweets", "kernel_id": "20585964"}, {"ref": "tolgayan/bert-disaster", "kernel_id": "20267711"}, {"ref": "dsk1812/nlp-notebook", "kernel_id": "20421418"}, {"ref": "agilesifaka/disaster-tweets-text-classification", "kernel_id": "20980363"}, {"ref": "phanttan/glove-lstm-gru-bi-directional", "kernel_id": "20233809"}, {"ref": "kaylani/ufrj-analytica-bert-tweets", "kernel_id": "20852388"}, {"ref": "nandakumar1966/pycaret-based-code", "kernel_id": "20033580"}, {"ref": "amitfr/nlp-natural-disasters", "kernel_id": "20639130"}, {"ref": "thinkman01/disastertweetornot", "kernel_id": "20083886"}, {"ref": "chaki18081999/tweet-classification-using-bidirectional-lstm", "kernel_id": "20972904"}, {"ref": "iamkhnjan18/natural-language-processing-with-disaster-tweets", "kernel_id": "20175539"}, {"ref": "kakone92/01-classify-tweets", "kernel_id": "20425482"}, {"ref": "naim99/products-bert-embeddings-and-lstm", "kernel_id": "20674512"}, {"ref": "rmcnribeiro/word-vectors-tf-idf-comparison", "kernel_id": "20851058"}, {"ref": "patrickb1912/classifying-disaster-tweets-with-naive-bayes", "kernel_id": "20927552"}, {"ref": "abdulrahmanmohamed/disaster-tweet-voting-ensemble", "kernel_id": "20918736"}, {"ref": "smartsolutaris/nlp-diseaster-tweets", "kernel_id": "20578817"}, {"ref": "aarthiramalingam/deep-learning", "kernel_id": "20758357"}, {"ref": "sharifashik/nlp-for-disaster-tweets", "kernel_id": "20625126"}, {"ref": "yashsehgal2/nlp-classification", "kernel_id": "20975596"}, {"ref": "henriqueosinski/first-time-doing-nlp", "kernel_id": "20540983"}, {"ref": "mehdisalim/nlp-desaster-tweets-with-tf", "kernel_id": "20626767"}, {"ref": "akashingoley/disaster-tweets-with-multinomialnb-and-bernoullinb", "kernel_id": "20983218"}, {"ref": "ragvendrapal/kaggle-disaster-quick-bert-fine-tuning-with-tpu", "kernel_id": "20344266"}, {"ref": "hamzamanssor/disaster-tweet-classification-using-lstm", "kernel_id": "20607264"}, {"ref": "tracyporter/identify-the-disaster-udemy", "kernel_id": "20132326"}, {"ref": "tracyporter/identify-the-disaster-spacy", "kernel_id": "20623842"}, {"ref": "tracyporter/identify-the-disaster-spacy-pytorch", "kernel_id": "20783501"}, {"ref": "imene0swaaaan/eda-classification-for-train-data", "kernel_id": "20872779"}, {"ref": "saurabhchandrarai/nlp-with-disaster-tweets", "kernel_id": "20258601"}, {"ref": "sidharthamohanty/getting-started-with-nlp", "kernel_id": "20139907"}, {"ref": "nandha13/beginners-nlp-preprocessing-nltk-regular-exp-tfidf", "kernel_id": "20889481"}, {"ref": "ingopastl/nlp-i-guess-i-gotta-do-this", "kernel_id": "20975378"}, {"ref": "crismolav/disaster-tweets", "kernel_id": "20618526"}, {"ref": "fernandapratama/nlp-disaster-tweets", "kernel_id": "20901722"}, {"ref": "furieux/simple-nlp-by-using-nltk-and-countvectorizer", "kernel_id": "20512379"}, {"ref": "thbalaji/day-30", "kernel_id": "20362041"}, {"ref": "avanishsingh007/nlp-with-disaster-tweets", "kernel_id": "20579290"}, {"ref": "ashishkapasiya/twitter-sentimental-analysis-with-basic-eda-ml", "kernel_id": "20053295"}, {"ref": "arthursgonzaga/nlp-study-predict-disasters", "kernel_id": "20677524"}, {"ref": "bfbarry/tweetdisasterrnn", "kernel_id": "20357496"}, {"ref": "boriskaras/first-steps-in-nlp-and-keras", "kernel_id": "20407508"}, {"ref": "sonukumari47/disaster-tweet-random-forest", "kernel_id": "20585141"}, {"ref": "hiteshsingh40/nlp-with-disater-tweet", "kernel_id": "20258605"}, {"ref": "sanoopps/samsung-m32-twitter-sentiment-transfer-learning", "kernel_id": "20337468"}, {"ref": "nagarjuna2997/natural-language-processing-with-disaster-tweets", "kernel_id": "20575062"}, {"ref": "rohit0481/nlp-for-disaster", "kernel_id": "20460070"}, {"ref": "vemunagasravani/sravani-natural-language-processing", "kernel_id": "20460263"}, {"ref": "tejareddyd/natural-language-processing-teja-30412", "kernel_id": "20460241"}, {"ref": "challapallimanoj/190030260-manoj-natural-languague", "kernel_id": "20619681"}, {"ref": "boddusairamakrishna/190030176-nlp", "kernel_id": "20460875"}, {"ref": "msvrao/tweet", "kernel_id": "20102776"}, {"ref": "claudiofilho/nlp-disaster-tweets-naive-bayes", "kernel_id": "20963648"}, {"ref": "kensjourney/transfer-learning-for-nlp-81", "kernel_id": "20037229"}, {"ref": "kishalmandal/disaster-tweet-bert", "kernel_id": "20927228"}, {"ref": "aradiajoanne/natural-language-processing-disaster-tweets", "kernel_id": "20871186"}, {"ref": "sampatkumar1/190030005-nlp-getting-started-tutorial", "kernel_id": "20618682"}, {"ref": "adriansaati/naive-bayes-vs-ridge-regression-cross-val-78", "kernel_id": "20811550"}, {"ref": "sandhyakrishnan02/nlp-with-disaster-tweets-using-lstm", "kernel_id": "20856209"}, {"ref": "prathameshmane3/predicting-disaster-tweets", "kernel_id": "20104139"}, {"ref": "ganeshishwarpatil/natural-language-processing-with-disaster-tweets", "kernel_id": "20597164"}, {"ref": "mlevytskyi/nlp-complement-naive-bayes-classifier", "kernel_id": "20647940"}, {"ref": "manithvazirani/transformers", "kernel_id": "20261652"}, {"ref": "satoshiss/nlp-with-disaster-tweets", "kernel_id": "20954666"}, {"ref": "mohamedsarwat/nlp-with-disaster-tweets", "kernel_id": "20205650"}, {"ref": "orenjonas/glove-and-lstm-model", "kernel_id": "20058405"}, {"ref": "k589k589/naturelanguageprocess-begin", "kernel_id": "20631760"}, {"ref": "riokanaizumi/nlp-glove-bert-tf-idf-lstm-explained", "kernel_id": "20499685"}, {"ref": "tahaakr/cleaning-texts-nlp", "kernel_id": "20974983"}, {"ref": "mohamedahmed10/tweets-disaster-classification-using-bert", "kernel_id": "20916208"}, {"ref": "cavfiumella/disaster-tweets-with-mlp", "kernel_id": "20905387"}, {"ref": "vickysen/nlp-disastrous-tweets", "kernel_id": "20922328"}, {"ref": "umeshkumar017/disaster-nlp-1", "kernel_id": "20259449"}, {"ref": "madhuridubey03/predicting-disaster-tweets1", "kernel_id": "20232006"}, {"ref": "anchal1999/predicting-disaster-tweet", "kernel_id": "20160583"}, {"ref": "jayantyadav2003/nlp-tweet", "kernel_id": "20735458"}, {"ref": "sumitkumar1976/identify-disaster-tweet-nlp", "kernel_id": "20714079"}, {"ref": "mathieulaiking/kaggle-disaster-tweet-bert", "kernel_id": "20344968"}, {"ref": "juangarciazep/graficas-de-loss-ann", "kernel_id": "20820592"}, {"ref": "juangarciazep/predicciones-con-ml", "kernel_id": "20958347"}, {"ref": "vsevolodkachan/nlp-twitter-cry", "kernel_id": "20663429"}, {"ref": "vsevolodkachan/notebook95f32d8a3d", "kernel_id": "20674480"}, {"ref": "evandrodinizphb/nlp-suicidal-pytorch-bert-kfold", "kernel_id": "20196007"}, {"ref": "pranitbhor/nlp-natural-disaster", "kernel_id": "20278268"}, {"ref": "franciscoxpena/nlp-evaluating-disaster-tweets", "kernel_id": "20351891"}, {"ref": "agatha123/kaggle-disaster-bert-fine-tuning-with-tpu-gpu", "kernel_id": "20365606"}, {"ref": "datarohitingole/disaster-tweet-classification-ridgeclassifiercv", "kernel_id": "20756732"}, {"ref": "slashtea/classification-with-countvectorizer-tf-idf-bert", "kernel_id": "21233628"}, {"ref": "shawxu/nlp-with-disaster-tweets-in-r", "kernel_id": "21215880"}, {"ref": "rumasinha/working-with-nlp-problem", "kernel_id": "21068327"}, {"ref": "j2hoon85/text-classification-ver01", "kernel_id": "21337523"}, {"ref": "rushi11/disaster-tweets-simple-lstm", "kernel_id": "21496820"}, {"ref": "brcsnt/nlp-disaster-tweets-analysis", "kernel_id": "21662697"}, {"ref": "lucasvalentim/nlp-getting-started", "kernel_id": "21267085"}, {"ref": "uniquekale/tweet-analysis-nlp-decisiontreeclassifier", "kernel_id": "21824227"}, {"ref": "pshukla1989/textclassficationnlp", "kernel_id": "21945349"}, {"ref": "dhruvgupta2801/nlp-using-lstm-rnn-gru", "kernel_id": "21498463"}, {"ref": "canamika27/disasater-tweet-classification", "kernel_id": "21927724"}, {"ref": "get2jawa/simple-tensorflow-implementation-for-beginners", "kernel_id": "21916128"}, {"ref": "vinaykakara/bert-model-using-tensorflow-hub", "kernel_id": "21936667"}, {"ref": "datauma/sentiment-analysis-on-twitter-data", "kernel_id": "21698656"}, {"ref": "phanttan/bert-distilbert-kerastuner", "kernel_id": "21478339"}, {"ref": "phanttan/bert-distilbert-fine-tune", "kernel_id": "21478700"}, {"ref": "phanttan/disastertweet-prepareddata", "kernel_id": "21730134"}, {"ref": "phanttan/bert-distilbert-logisticregression-gridsearch", "kernel_id": "21888197"}, {"ref": "s17elgho/tweet-classification-nltk-tfidf-xgb", "kernel_id": "21054503"}, {"ref": "pedroaxs/textminingpro", "kernel_id": "21145026"}, {"ref": "chaki18081999/tweet-classification-using-bert-explained", "kernel_id": "21301029"}, {"ref": "marioeid/nlp-with-disaster-tweet-freqs-array", "kernel_id": "21351698"}, {"ref": "kush1729/tf-idf-model", "kernel_id": "21540182"}, {"ref": "kush1729/nlp-exploratory-data-analysis", "kernel_id": "21705308"}, {"ref": "drgorasiya/nlp-on-tweets", "kernel_id": "21465895"}, {"ref": "a1248654/nlp-getting-started-1", "kernel_id": "21707029"}, {"ref": "a1248654/nlp-getting-started-0", "kernel_id": "21663342"}, {"ref": "hagerkhaled/notebookffb6f90fbb", "kernel_id": "21978788"}, {"ref": "tfukuda675/std-nlp-beginner-rnn-lstm-bert-transformer", "kernel_id": "21643111"}, {"ref": "rachitban/bert-model", "kernel_id": "21159729"}, {"ref": "ruhtraavlis/notebook093f4e6d9b", "kernel_id": "21264722"}, {"ref": "giovanni11/finetuning-bertweet-classification-score-85", "kernel_id": "21448746"}, {"ref": "perseger/twittermessagetfldf", "kernel_id": "21158158"}, {"ref": "perseger/disasterclassifierbert", "kernel_id": "21858193"}, {"ref": "omarmohamed22/bertweet-transfer-learning-newerversion", "kernel_id": "21089296"}, {"ref": "maximknyazev/disaster-tweets-word2vec-tf-idf-81-acc", "kernel_id": "21665962"}, {"ref": "ahmetemintek/tweet-classification-using-sparknlp-use", "kernel_id": "21201449"}, {"ref": "samyukthamobile/nlp-beginners-level-comments-review-submission", "kernel_id": "21992662"}, {"ref": "lonnieqin/disaster-tweets-classification-transformer", "kernel_id": "21070110"}, {"ref": "lonnieqin/disaster-tweets-classification-switch-transformer", "kernel_id": "21083840"}, {"ref": "nikhilchapre/basic-naive-byes-model", "kernel_id": "21225600"}, {"ref": "megr25/twitter-nlp-feature-engineer-deep-learning", "kernel_id": "21266937"}, {"ref": "victorvidals/nlp-with-disaster-tweets-sklearn", "kernel_id": "21109651"}, {"ref": "ahmedhassen779/nlp-disaster-fine-tuning-xgboost-bert-transformer", "kernel_id": "21056891"}, {"ref": "bhavinmoriya/natural-language-processing-nlp-for-beginners", "kernel_id": "21165217"}, {"ref": "astridlancreyjaval/notebookbad4a8f4d1", "kernel_id": "21942310"}, {"ref": "pyjune/nlp-with-disaster-tweets-daniel-park", "kernel_id": "21077623"}, {"ref": "bharathadapa/nlp-with-disaster-tweets-bharath-adapa", "kernel_id": "21398189"}, {"ref": "onuraydere/decisiontreeandbernoullinb", "kernel_id": "21987054"}, {"ref": "ashokkumargarain/notebook8cc58e8918", "kernel_id": "21254448"}, {"ref": "abdulbaseetzahir/nlp-with-disaster-tweets-keras", "kernel_id": "21237042"}, {"ref": "diasdouglas/nlp-disasters", "kernel_id": "21217041"}, {"ref": "sofiakostoglou/ml-lstm-disastertweets", "kernel_id": "21408634"}, {"ref": "sachink1729/text-classification-using-lstm-acc-0-99", "kernel_id": "21336849"}, {"ref": "khrystynakovalska/disaster-tweets", "kernel_id": "21598265"}, {"ref": "andreyshishkov/simple-solution-baseed-on-dense-nn", "kernel_id": "21282559"}, {"ref": "kundankumarmandal/nlp-with-disaster-tweets-78-accuracy", "kernel_id": "21076807"}, {"ref": "saniyaafzal/nlp-disaster-tweets-tensorflow-spacy-bert", "kernel_id": "21447095"}, {"ref": "syokouhioku/twitter-nlp", "kernel_id": "21365372"}, {"ref": "faisalmabood/text-classification-using-lstm-acc-0-99", "kernel_id": "21424783"}, {"ref": "officialsubhash/nlp-disaster-tweets-classification-with-bert", "kernel_id": "21004990"}, {"ref": "dawngupta/disaster-tweet", "kernel_id": "21476883"}, {"ref": "athirakaladharan/real-disaster-or-not-tweets-using-log-reg", "kernel_id": "21544255"}, {"ref": "ekashir/distilbert-logistic-regression-lightgbm", "kernel_id": "21201341"}, {"ref": "sugataghosh/natural-language-processing-with-disaster-tweets", "kernel_id": "21859677"}, {"ref": "sanasohail24724/tweet-classification-f884a4", "kernel_id": "21444985"}, {"ref": "sandeeppvn/learn-nlp", "kernel_id": "21544840"}, {"ref": "muskaanchopra/disaster-prediction", "kernel_id": "21959083"}, {"ref": "vidushibhatia/3-nlp-on-tweets", "kernel_id": "21968356"}, {"ref": "subhochowdhury/pretrained-bert-with-gru-text-classification", "kernel_id": "21325840"}, {"ref": "nafishamoin/nlp-disaster-tweets-using-decision-tree", "kernel_id": "21969798"}, {"ref": "gt00707/nlp-using-logistic-regression", "kernel_id": "21645748"}, {"ref": "kirillvronskiy/nlp-with-disaster-tweets-lightautoml", "kernel_id": "21820147"}, {"ref": "molvor/desastre-twitter", "kernel_id": "21617454"}, {"ref": "nethanael/nlp-tarea", "kernel_id": "21691963"}, {"ref": "cesarjimenezm/mla2-cjimenez-9", "kernel_id": "21601535"}, {"ref": "carlosperaltacoto/nlp-competition", "kernel_id": "21577722"}, {"ref": "qubeet/notebook1e5013e147", "kernel_id": "21902545"}, {"ref": "antoninabugayova/nlp-disaster-tweets-spacy", "kernel_id": "21619901"}, {"ref": "antoninabugayova/nlp-with-disaster-tweets-2", "kernel_id": "21619931"}, {"ref": "antoninabugayova/nlp-with-disaster-tweets-new-b", "kernel_id": "21637454"}, {"ref": "sergeyshevelev/nlp-with-disaster-tweets", "kernel_id": "21452576"}, {"ref": "diplodicus52/nlp-processing-disaster-tweets-baseline-model", "kernel_id": "21897481"}, {"ref": "diplodicus52/nlp-processing-disaster-tweets-data-analysis", "kernel_id": "21021986"}, {"ref": "pedrobandeiradarocha/mnb-code", "kernel_id": "21018653"}, {"ref": "csowmini/nlp-disaster-tweets", "kernel_id": "21060851"}, {"ref": "samalldritt/classifying-disaster-tweets-with-svm", "kernel_id": "21652355"}, {"ref": "akhmadthalibarrifqi/nlp-disaster-tweets", "kernel_id": "21484866"}, {"ref": "skywolkher/nlp-twitter-hugo-alves", "kernel_id": "21143193"}, {"ref": "brunosantacruz/nlp-disaster-tweets-spacy", "kernel_id": "21150278"}, {"ref": "vignesh011/nlp-disastertweets", "kernel_id": "21246522"}, {"ref": "inovatech/naturallanguageprocessing", "kernel_id": "21772315"}, {"ref": "adwik98/disaster-nlp-keras-bert-using-tfhub", "kernel_id": "21441246"}, {"ref": "satheeshans/nlp-tweet-mining", "kernel_id": "21965245"}, {"ref": "youjihun/notebook5532dbe154", "kernel_id": "21337527"}, {"ref": "jinhyunyang/kaggle-ver1", "kernel_id": "21338693"}, {"ref": "mingu9/text-classification-ver01", "kernel_id": "21337526"}, {"ref": "kimdeokyeol/notebook31d8581014", "kernel_id": "21338709"}, {"ref": "yelbuzz/disaster-tweets-rnn-bytepair-encoding", "kernel_id": "21585853"}, {"ref": "rokibox/notebooka20481fcee", "kernel_id": "21757727"}, {"ref": "umarfarooq45/text-classification-using-lstm-acc-0-99-1a8107", "kernel_id": "21492510"}, {"ref": "benwilliams16/nlp-assignment-1", "kernel_id": "21952415"}, {"ref": "aggarwalrahul/ml-automl-frameworks", "kernel_id": "22009332"}, {"ref": "prashanth12kaggle/comprehensive-nlp-tutorial-1-ml-perspective", "kernel_id": "22536499"}, {"ref": "inhoii/nlp-iea-example", "kernel_id": "22416508"}, {"ref": "rjconstable/nlp-starter-spacy-binary-text-classifier", "kernel_id": "22728893"}, {"ref": "upendrasingh49/disaster-tweets-using-bert-embeddings-and-l-163088", "kernel_id": "22614518"}, {"ref": "shenxiangyu/eda-disaster-tweets", "kernel_id": "22574905"}, {"ref": "sreecharan0311/disaster-prediction-using-tweets", "kernel_id": "22242147"}, {"ref": "casper06/essential-eda-for-competition-starters", "kernel_id": "22817415"}, {"ref": "phanttan/using-keywords-embedding-to-improve-bert-model", "kernel_id": "22263006"}, {"ref": "phanttan/bert-with-pytorch", "kernel_id": "22666831"}, {"ref": "viniciusmatias/tweets-disasters-the-basics", "kernel_id": "22804890"}, {"ref": "akiranoda/module-9-disaster-tweet-analyzer", "kernel_id": "22224950"}, {"ref": "jarretx/abnormal-distribution-disaster-tweets", "kernel_id": "22444005"}, {"ref": "hetarthchopra/why-byom-build-your-own-model", "kernel_id": "22065045"}, {"ref": "sumitkrsharma/reviewers-using-bert-embeddings-and-lstm", "kernel_id": "22613409"}, {"ref": "mohamedmostafa335/nlp-tokenization-embedding-lstm", "kernel_id": "22848179"}, {"ref": "lonnieqin/disaster-tweets-classification-tf-idf", "kernel_id": "22019344"}, {"ref": "lonnieqin/disaster-tweets-classification-with-autokeras", "kernel_id": "22736297"}, {"ref": "lonnieqin/disaster-tweets-classification-with-conv1d", "kernel_id": "22551366"}, {"ref": "irusland/disaster-nlp-urfu", "kernel_id": "22069241"}, {"ref": "architshinde/disaster-tweets-using-bert-embeddings-and-l-9640d6", "kernel_id": "22767585"}, {"ref": "nicknosorogov/berttweetevaluation", "kernel_id": "22516031"}, {"ref": "nkitgupta/text-representations", "kernel_id": "22459338"}, {"ref": "limweixuan1994/disaster-tweets-prediction-word-vectors", "kernel_id": "22210219"}, {"ref": "chantom/twitter-nlp-by-ridgeclassifier-xgb-bert", "kernel_id": "22692489"}, {"ref": "brendanartley/roberta-w-tensorflow-explained-0-844", "kernel_id": "22200665"}, {"ref": "shritech1404/natural-language-processing-with-disaster-tweets", "kernel_id": "22936233"}, {"ref": "muskan9698/bert-model-using-tensorflow-hub", "kernel_id": "22253676"}, {"ref": "dupeljan/roberta-w-tensorflow-explained", "kernel_id": "22909555"}, {"ref": "dupeljan/9-nlp-disaster-tweets-using-bert", "kernel_id": "22847521"}, {"ref": "drinkertea/bert-different-embeddings", "kernel_id": "22962381"}, {"ref": "drinkertea/roberta-bigger-model", "kernel_id": "22962440"}, {"ref": "ghazalkheyroddin/nlp-tweet-classification-beginner-friendly", "kernel_id": "22383900"}, {"ref": "mahmoudlimam/deep-bigru-with-embeddings", "kernel_id": "22383513"}, {"ref": "richez/tweets-disaster-glove-lstm", "kernel_id": "22463122"}, {"ref": "daotan/tweet-analysis-with-transformers-bert", "kernel_id": "22027910"}, {"ref": "gg8910/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "22292917"}, {"ref": "gprakhar579/disastertweetslstm", "kernel_id": "22735658"}, {"ref": "georgesaavedra/best-nlp-disaster-tweets-classifier", "kernel_id": "22851159"}, {"ref": "nistharaj/notebook5b24bceeae", "kernel_id": "22311075"}, {"ref": "lamcode/nlp-with-news-analytics", "kernel_id": "22391560"}, {"ref": "amandeeprana25/comparative-analysis-of-disaster-tweets-using-nlp", "kernel_id": "22165058"}, {"ref": "keremkosif/disaster-prediction-using-nlp", "kernel_id": "22589422"}, {"ref": "dineswarreddy/gs-nlp", "kernel_id": "22770964"}, {"ref": "yauhenichachukha/disaster-tweets-0-80386", "kernel_id": "22266588"}, {"ref": "fanglidayan/9-nlp-disaster-tweets-using-bert", "kernel_id": "22705755"}, {"ref": "punithrudrappa2/tweet-analysis-with-transformers-bert", "kernel_id": "22396415"}, {"ref": "satoshiss/disaster-tweets-with-bert", "kernel_id": "22597175"}, {"ref": "hugolearn/disaster-tweets-practice", "kernel_id": "22354634"}, {"ref": "marchenrysaintfelix/distilbert-for-sequenceclassification", "kernel_id": "22613979"}, {"ref": "aravindiisc/disaster-tweets-gru-selfattention-keras", "kernel_id": "22331220"}, {"ref": "aravindiisc/glove-lstm-self-attention", "kernel_id": "22161587"}, {"ref": "ladlisahu/part-of-speech-tagging", "kernel_id": "22821071"}, {"ref": "stst42/twitter-disaster", "kernel_id": "22182354"}, {"ref": "guruparanm/nlp-with-disaster-tweets", "kernel_id": "22563670"}, {"ref": "abdelrhmanelkhouly/text-representations", "kernel_id": "22704923"}, {"ref": "josuluna/disaster-tweets-spacy-keras", "kernel_id": "22250260"}, {"ref": "vishalkarangale/disaster-tweet-classification-with-distilbert-tf", "kernel_id": "22907290"}, {"ref": "alexziyatdinov/disaster-nlp-urfu", "kernel_id": "22259714"}, {"ref": "diplodicus52/nlp-processing-disaster-tweets-dml", "kernel_id": "22596776"}, {"ref": "moisscarlos/moises-natural-language-processing-tweets", "kernel_id": "22909578"}, {"ref": "valeriawillam/disaster-tweet", "kernel_id": "22007361"}, {"ref": "delete1903/nlp-project", "kernel_id": "22063623"}, {"ref": "sulimanhaqqyarjan/eda-of-real-disasters", "kernel_id": "22262728"}, {"ref": "landonhd/disaster-tweets-classification-with-bert", "kernel_id": "22226086"}, {"ref": "dylanyves/disaster-tweet-prediction-classification", "kernel_id": "22899712"}, {"ref": "chenac/bert-starting-with-transformer", "kernel_id": "22154577"}, {"ref": "semipro/nlp-disaster-tweets-tfidf-lr", "kernel_id": "22312048"}, {"ref": "donanana/notebookd834fc64f2", "kernel_id": "22993833"}, {"ref": "terrynlp/natural-language-processing-with-disaster-tweets", "kernel_id": "22135481"}, {"ref": "benhursantanadelim/notebook91bee759f2", "kernel_id": "22980185"}, {"ref": "cluelessds/logistic-regression-with-threshold-tuning", "kernel_id": "22336401"}, {"ref": "fionaluo7/text-representations", "kernel_id": "22727682"}, {"ref": "renraeldab/disaster-tweets", "kernel_id": "22956883"}, {"ref": "koan14/ktrain-disaster-tweet-model", "kernel_id": "23000148"}, {"ref": "bkanupam/tweet-classifier-spacy-svm", "kernel_id": "23820078"}, {"ref": "bkanupam/disaster-tweets-bilstm-fasttext", "kernel_id": "23721012"}, {"ref": "bkanupam/disaster-tweets-hugging-face-transformers", "kernel_id": "23945509"}, {"ref": "bkanupam/text-classification-bert-finetuning-with-pytorch", "kernel_id": "23971924"}, {"ref": "choureymanas/is-it-a-disaster", "kernel_id": "23688603"}, {"ref": "santiviquez/nlp-disasters-tweets-lb-0-80723", "kernel_id": "23586901"}, {"ref": "liberatoryohan/nlp-dis-tf-gru", "kernel_id": "23595488"}, {"ref": "rakshithanil/tweetsclassification-tensorflow-bert-lstm-gru", "kernel_id": "23588706"}, {"ref": "garyhsu29/svm-classifier", "kernel_id": "23938538"}, {"ref": "kratos2597/nlp-disaster-processing-tweets", "kernel_id": "23392922"}, {"ref": "prateek146/text-classification-feature-selection-tfidf", "kernel_id": "23745748"}, {"ref": "liza18/first-attempt", "kernel_id": "23603325"}, {"ref": "patrickjose/nlp-disaster-tweets-classification", "kernel_id": "23849920"}, {"ref": "sytuannguyen/nlp-with-bert", "kernel_id": "23121360"}, {"ref": "sytuannguyen/nlp-the-power-of-ensemble-method", "kernel_id": "23696122"}, {"ref": "hwangchanghyun/0-7635-fasttext-tutorial-code-with-me", "kernel_id": "23782685"}, {"ref": "saidsp19/starter-fastai-transformers-lemm", "kernel_id": "23947457"}, {"ref": "vijayshankar756/tweets-bidirectional", "kernel_id": "23235630"}, {"ref": "maunilshah/real-or-not-a-simple-bidirectional-rnn", "kernel_id": "23939720"}, {"ref": "sreebhattacharyya/disaster-tweets-3-featurization-x-7-models", "kernel_id": "23966520"}, {"ref": "enginegeli/deep-learning-for-nlp-guide-for-beginners", "kernel_id": "23581634"}, {"ref": "asimple/eda-preprocessing-baseline-disaster-tweets", "kernel_id": "23046244"}, {"ref": "mariacassese/disaster-competition-nlp", "kernel_id": "23032353"}, {"ref": "richiedagger2012/twitter-lstm", "kernel_id": "23658131"}, {"ref": "yudhaislamisulistya/ym77-nlp-with-disaster-tweets", "kernel_id": "23020189"}, {"ref": "jihenbelhoudi/intro-to-nlp-using-bert", "kernel_id": "23720370"}, {"ref": "arieleddie/notebook8f0f499ac4", "kernel_id": "23610058"}, {"ref": "alyalsamal/baseline-nlp-bert-score-0-82960", "kernel_id": "23120727"}, {"ref": "mohamedbakrey/make-a-processing-classification-for-tweets", "kernel_id": "23831086"}, {"ref": "georgesaavedra/disaster-tweets-classifier-transformers", "kernel_id": "23832685"}, {"ref": "paragonviolet/tweets-review", "kernel_id": "23419047"}, {"ref": "lomesh2000/disaster-tweet-analysis", "kernel_id": "23120057"}, {"ref": "baycelik/combination-2-kernel-4-nlp", "kernel_id": "23855782"}, {"ref": "hasanmahmood516/disaster-tweets-nlp", "kernel_id": "23297127"}, {"ref": "aditya01233/three-approaches-tfidf-lstm-and-bert", "kernel_id": "23585350"}, {"ref": "gulsanaduisenbek/notebook1", "kernel_id": "23078805"}, {"ref": "zhamshidbek/disaster-tweets-w-tf-keras", "kernel_id": "23355802"}, {"ref": "dsxavier/nlp-tweets-deep-analysis-tfdistilbert-n-grams", "kernel_id": "23881593"}, {"ref": "aichekhalid/disaster-tweets-sgdclassfier", "kernel_id": "23466133"}, {"ref": "himanshusirsat/simple-nlp", "kernel_id": "23973401"}, {"ref": "toygarr/contextual-model-pipeline-for-beginners-84-score", "kernel_id": "23965360"}, {"ref": "anshulmehtakaggl/intro-to-nlp-with-tensorflow", "kernel_id": "23526011"}, {"ref": "alyonairinina/natural", "kernel_id": "23661783"}, {"ref": "evgenypotapov/v111124", "kernel_id": "23935810"}, {"ref": "evgenypotapov/hyjdxx", "kernel_id": "23935980"}, {"ref": "maryragozina/notebook0d80f2079d", "kernel_id": "23921970"}, {"ref": "maryragozina/notebook9abcb027ff", "kernel_id": "23918071"}, {"ref": "maryragozina/notebook9dfa0a4be0", "kernel_id": "23918034"}, {"ref": "avtochakhnashvili/nlp-with-probabilities-and-nb", "kernel_id": "23870446"}, {"ref": "avtochakhnashvili/basic-nlp-using-spacy-and-sklearn", "kernel_id": "23403334"}, {"ref": "avtochakhnashvili/using-pos-neg-vectors", "kernel_id": "23609835"}, {"ref": "zhangchen123/notebooknlp-diaster-twiter", "kernel_id": "23093253"}, {"ref": "lovroselic/disaster-ls", "kernel_id": "23771517"}, {"ref": "vivianrodriguez/nlp-disaster-tweets-classification", "kernel_id": "23931959"}, {"ref": "donanana/nlp-new-version", "kernel_id": "23386095"}, {"ref": "cluelessds/ensemble", "kernel_id": "23869046"}, {"ref": "danielcwq/fast-ai-predict-disaster-tweets", "kernel_id": "23662597"}, {"ref": "philippfischer/simple-transformer-for-disaster-tweets", "kernel_id": "23895937"}, {"ref": "kardiadysti/disaster-tweet-classification", "kernel_id": "23455301"}, {"ref": "clmentfusil/nlp-agnes-fusil", "kernel_id": "23636180"}, {"ref": "mrbeer/high-score-baseline-with-huggingface-transformers", "kernel_id": "24405992"}, {"ref": "nirmalmaheshwari/tfidf-with-major-classifiers", "kernel_id": "24490442"}, {"ref": "saburb/text-analysis-topic-modellingwith-spacy-gensim", "kernel_id": "24489771"}, {"ref": "ferneutron/multinomialnaivebayes-disastertweets-nlp", "kernel_id": "24976503"}, {"ref": "magicfox94/cleaning-bidirectional-lstm", "kernel_id": "24561714"}, {"ref": "sharansmenon/sklearn-disaster-tweet", "kernel_id": "24054463"}, {"ref": "sharansmenon/transformers-disaster-tweet", "kernel_id": "24102703"}, {"ref": "dinelka/real-or-not-nlp", "kernel_id": "24767037"}, {"ref": "pravesh19/nlp-with-disaster-tweets", "kernel_id": "24307548"}, {"ref": "liock15/disaster-tweets-pipeline", "kernel_id": "24848855"}, {"ref": "sdysch/nlp-disaster-tweets", "kernel_id": "24624596"}, {"ref": "sdysch/lstm-model", "kernel_id": "24831207"}, {"ref": "lorddiablo74/keras-nlp-with-disaster-tweets", "kernel_id": "24353624"}, {"ref": "subodh29/disaster-prediction-using-tweets", "kernel_id": "24561228"}, {"ref": "p7476762/lstm-text-dnn-keyword-location-prediction", "kernel_id": "24613964"}, {"ref": "mouezyazidi/tweets-disaster-classification-lstm", "kernel_id": "24730020"}, {"ref": "vanguarde/semi-supervised-lda", "kernel_id": "24432141"}, {"ref": "micurazvan/disaster-nlp-train-bert-in-10-min-with-tpu", "kernel_id": "24006471"}, {"ref": "micurazvan/classifying-disaster-tweets-with-naive-bayes", "kernel_id": "24031551"}, {"ref": "massigarg/tweet-disaster-80-with-logistc-regression", "kernel_id": "24047761"}, {"ref": "weiyue01/bert-huggingface-pytorch", "kernel_id": "24056677"}, {"ref": "weiyue01/data-cleaning-autogluon", "kernel_id": "24866397"}, {"ref": "souravkrshukla/nlp-disastertweet", "kernel_id": "24783291"}, {"ref": "bhavinmoriya/prediction-of-tweets-using-bert-model", "kernel_id": "24644556"}, {"ref": "codelizard/sentence-bert", "kernel_id": "24481889"}, {"ref": "shaukathussain/basic-eda-cleaning-and-glove-of-tweet-dataset", "kernel_id": "24289605"}, {"ref": "ervishvanathmetkari/regular-expression", "kernel_id": "24978329"}, {"ref": "nobodysboredom/nlp-getting-started-tutorial", "kernel_id": "24833453"}, {"ref": "akashkirodiwal/disastertweetsprediction", "kernel_id": "24691054"}, {"ref": "mahmoudlimam/roberta-with-huggingface-pytorch", "kernel_id": "24904769"}, {"ref": "sagardas7/nlp-disaster-preprocessing-text-data", "kernel_id": "24862843"}, {"ref": "rodridb/simplistic-disaster-detection-nlp", "kernel_id": "24212044"}, {"ref": "phchen5/tweetsos-text-classification-w-bert-top-5", "kernel_id": "24515045"}, {"ref": "maxitype/7-simple-nlp-no-dl-eda-beginner", "kernel_id": "24885732"}, {"ref": "bhavikardeshna/nlp-with-disaster-tweets-data-preprocessing", "kernel_id": "24625544"}, {"ref": "bhavikardeshna/nlp-with-disaster-tweets-used", "kernel_id": "24645880"}, {"ref": "ninanovikova/disaster-tweets-classification-with-roberta", "kernel_id": "24312445"}, {"ref": "tomaszgrzybowski/bert-classification", "kernel_id": "24792858"}, {"ref": "tomaszgrzybowski/gpt2-classification", "kernel_id": "24812374"}, {"ref": "cyberblack0/nlp-getting-started-tutorial", "kernel_id": "24700986"}, {"ref": "growbigger/artificially-increasing-data-with-lstm-model", "kernel_id": "24323137"}, {"ref": "jamilahfoucher/classifying-twitter-tweets", "kernel_id": "24942283"}, {"ref": "sachinudgam/predicting-disaster-tweets-nlp-in-r-programming", "kernel_id": "24314214"}, {"ref": "taoo0316/disaster-tweets", "kernel_id": "24868003"}, {"ref": "hritikchaturvedi/disaster-prediction-roberta-large", "kernel_id": "24333093"}, {"ref": "imanmkhamis/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "24517848"}, {"ref": "aman11381/nlp-with-disaster-tweets", "kernel_id": "24929093"}, {"ref": "emre1k/nlp-with-nltk", "kernel_id": "24284942"}, {"ref": "adityasud/text-processing-cv-tfidf-prac2-3", "kernel_id": "24556428"}, {"ref": "valpot/5apmfsi-projet", "kernel_id": "24002739"}, {"ref": "zurlyn/disaster-tweets-pre-processing", "kernel_id": "24859849"}, {"ref": "gopalgoyal612002/nlp-count-vectorizer-tfidf-vectorizer", "kernel_id": "24774789"}, {"ref": "gopalgoyal612002/nlp-bert-keras-vectorizer-tfidf", "kernel_id": "24808769"}, {"ref": "sonik19/bert-disaster-tweets", "kernel_id": "24070363"}, {"ref": "alexveres/nlp-wether-disaster", "kernel_id": "24052503"}, {"ref": "vadimabronin/new-features-ideas-and-bert", "kernel_id": "24284755"}, {"ref": "davawalamanan/irs-lab-2", "kernel_id": "24502308"}, {"ref": "davawalamanan/irs-lab-3", "kernel_id": "24555848"}, {"ref": "priyankdl/let-us-start-with-text-processing", "kernel_id": "24207180"}, {"ref": "mateusjorge/predicting-disaster-nlp-using-ann-98-acc", "kernel_id": "24773896"}, {"ref": "rajnishkumar546/nlp-spam", "kernel_id": "24710816"}, {"ref": "rajnishkumar546/nlp-tfidf", "kernel_id": "24747349"}, {"ref": "aishwarya2210/prediction-of-tweets-using-bert-model", "kernel_id": "24501858"}, {"ref": "haoyanghan77/innovation-lab-monthly-forum-202201", "kernel_id": "24113624"}, {"ref": "priyalpalkhiwala/19bce214-irs-practical2", "kernel_id": "24582824"}, {"ref": "shailshah611/irs-prac2", "kernel_id": "24392301"}, {"ref": "shailshah611/irs-prac3", "kernel_id": "24582904"}, {"ref": "zoheirelhouari/disaster-tweets-analysis-using-cnn-neural-network", "kernel_id": "24518199"}, {"ref": "parvector/nlp-with-disaster-tweets-azat", "kernel_id": "24309436"}, {"ref": "wagnerikeda/gensubmission", "kernel_id": "25641828"}, {"ref": "praveeniitd/clean-up-bert-hugging-face-tensorflow", "kernel_id": "25638037"}, {"ref": "anayad/cleaning-tweets-simple-rnn", "kernel_id": "25259286"}, {"ref": "samjrrr/nlp-disaster-tweets-using-pytorch-hf-and-wandb", "kernel_id": "25295759"}, {"ref": "ferneutron/bi-lstm-pytorch", "kernel_id": "25169997"}, {"ref": "ferneutron/lstm-pytorch-version", "kernel_id": "25056630"}, {"ref": "pathofdata/simple-modeling-tf-idf-vs-word2vec-vs-bert", "kernel_id": "25372647"}, {"ref": "volodia/84-5-with-lstm-xlnet-bert-roberta-bagging", "kernel_id": "25911424"}, {"ref": "sweetydevassy/bootcamp-predicting-disaster-tweets", "kernel_id": "25198628"}, {"ref": "cheinting/bert-training-and-inference", "kernel_id": "25749671"}, {"ref": "omardomen/twitter-disaster", "kernel_id": "25429596"}, {"ref": "jillwang87/analyze-and-extract-features-with-spacy", "kernel_id": "25259187"}, {"ref": "kamaljp/tweets-nlp-classification", "kernel_id": "25158309"}, {"ref": "bhavesh0124/test-2", "kernel_id": "25685147"}, {"ref": "bhavesh0124/simple-glove-bert-fine-tune-tensorflow", "kernel_id": "25617852"}, {"ref": "sytuannguyen/nlp-with-transformers-for-beginners", "kernel_id": "25010613"}, {"ref": "sanjaylalwani/nlp-basics", "kernel_id": "25660598"}, {"ref": "renatojmsantos/nlp-with-disaster-tweets-svm-br-classification", "kernel_id": "25205070"}, {"ref": "suthema/nlpdisaster", "kernel_id": "25505038"}, {"ref": "hasitha93/disaster-tweets", "kernel_id": "25454469"}, {"ref": "natashakulkarni27/natasha", "kernel_id": "25220134"}, {"ref": "priyasubramaniyan/nlp-text-preprocessing-svm", "kernel_id": "25385056"}, {"ref": "ohseokkim/disaster-tweets-effective-eda-and-modeling", "kernel_id": "25675931"}, {"ref": "goen01/chapter7-exercise-nlp-tweet", "kernel_id": "25060729"}, {"ref": "sanketsonu/ml-models-with-multiple-setups", "kernel_id": "25900321"}, {"ref": "nimitjain09911/identify-the-disaster-xgbc", "kernel_id": "25838331"}, {"ref": "jainishsavalia/bert-disaster-tweets", "kernel_id": "25258599"}, {"ref": "shritech1404/regular-expression-using-python", "kernel_id": "25221027"}, {"ref": "shritech1404/disaster-tweets-classification", "kernel_id": "25178483"}, {"ref": "nobodysboredom/nlp-with-disaster-tweets-tree-model", "kernel_id": "25693245"}, {"ref": "nobodysboredom/nlp-with-disaster-tweets", "kernel_id": "25022694"}, {"ref": "paulkellar1997/nlp-natural-disaster", "kernel_id": "25129719"}, {"ref": "adamwurdits/nlp-disaster-tweets", "kernel_id": "25075015"}, {"ref": "xingluo157/text-classification", "kernel_id": "25226651"}, {"ref": "david55555/ai-dcm4", "kernel_id": "25233082"}, {"ref": "oishikg/lstm-based-disaster-tweet-classifier", "kernel_id": "25315495"}, {"ref": "oishikg/nlp-disaster-tweet-eda", "kernel_id": "25853387"}, {"ref": "srengrannemann/nlp-disaster-tweet-classification", "kernel_id": "25139650"}, {"ref": "yousseftarhri/disaster-tweets-with-nlp", "kernel_id": "25476008"}, {"ref": "chaitalithakkar/irs-text-preprocessing-prac2", "kernel_id": "25291767"}, {"ref": "rx2851/ucs663-natural-language-processing-with-disaster", "kernel_id": "25412167"}, {"ref": "cristianbran/nlp-with-disaster-tweets", "kernel_id": "25211218"}, {"ref": "jeeltttt/irs-prac2-19bce283", "kernel_id": "25083425"}, {"ref": "hengwdai/nlp-feature", "kernel_id": "25715691"}, {"ref": "humzakc9341/chaudhry-module9", "kernel_id": "25167411"}, {"ref": "pralabhpoudel/tweets-disaster-or-not", "kernel_id": "25416456"}, {"ref": "binfeng2021/nlp-with-disaster-tweets", "kernel_id": "25467163"}, {"ref": "kagglekkyn/eda-tf-idf-w2v-d2v-and-rnn", "kernel_id": "25030812"}, {"ref": "abdifatahahmedawaleh/notebook6e16e7d418", "kernel_id": "25402860"}, {"ref": "jimkaihuang/nlp-getting-started-word-embedding-comparision", "kernel_id": "25599291"}, {"ref": "ekarthjain/nlp-disaster-tweets", "kernel_id": "25367686"}, {"ref": "jatinchhabra21/tweet-disaster", "kernel_id": "25952885"}, {"ref": "yashika1801/disaster-tweet-classification", "kernel_id": "25404294"}, {"ref": "abhinav200151/bilstm-with-glove-embeddings", "kernel_id": "25387511"}, {"ref": "vishalkarangale/disaster-tweet-bert-pytorch", "kernel_id": "25232538"}, {"ref": "mfaroja/sklearn-logistic-regression", "kernel_id": "25339917"}, {"ref": "ajayjjjjj/assignment", "kernel_id": "25393520"}, {"ref": "chirayupurohit/chirayu-101903011", "kernel_id": "25395906"}, {"ref": "subrahmanyajoshi/cnn-lstm-disaster-tweet-classification", "kernel_id": "25831249"}, {"ref": "pranshushah176/text-processing", "kernel_id": "25267677"}, {"ref": "setthawutkulsrisuwan/nlp-with-disaster-tweets-01-tfidfvectorizer-ridg", "kernel_id": "25109915"}, {"ref": "dnyaneshwalwadkar/84-disaster-prediction-with-adv-nlp-adv-eda", "kernel_id": "25996834"}, {"ref": "lorenzosantangelo/nlp-with-disaster-tweets-using-spacy", "kernel_id": "25381961"}, {"ref": "llnovall/nlp-with-disaster-tweets-lstm-v2", "kernel_id": "25207687"}, {"ref": "llnovall/nlp-disaster-tweets-bert", "kernel_id": "25241134"}, {"ref": "masatoshikato/disaster-tweets-simple-nlp-tensorflow", "kernel_id": "25865082"}, {"ref": "poojandabhi/irs-practical-2", "kernel_id": "25285573"}, {"ref": "packinman/disaster-tweets-feature-engineering-and-svc", "kernel_id": "25990029"}, {"ref": "preet45/19bce192-irs-prac2", "kernel_id": "25292946"}, {"ref": "radadiyachirag/19bce215-prac2-irs", "kernel_id": "25282862"}, {"ref": "anshray/irs-prac-2", "kernel_id": "25293459"}, {"ref": "mayusharathod/irs-prac2", "kernel_id": "25285564"}, {"ref": "raviyavatsal/irs-prac2-textprocessing", "kernel_id": "25283040"}, {"ref": "shivam0105/practical-2-irs", "kernel_id": "25693595"}, {"ref": "rathodmayur3/19bce221-practical2-irs", "kernel_id": "25283762"}, {"ref": "rathodmayur3/19bce221-practical2-datasetsubmission", "kernel_id": "25269350"}, {"ref": "aayush349/practical2-irs-19bce245", "kernel_id": "25291345"}, {"ref": "pooja42/irs-practical-2-text-preprocessing-using-nltk", "kernel_id": "25316542"}, {"ref": "ansumansamal/disastertweetsornot", "kernel_id": "25531368"}, {"ref": "fxpenguin/notebook4c4d8ca280", "kernel_id": "25791812"}, {"ref": "dapin1490/disaster-tweets", "kernel_id": "25319313"}, {"ref": "minseokkk/disaster", "kernel_id": "25577875"}, {"ref": "qlexio123/nlp-tweets", "kernel_id": "25702640"}, {"ref": "penbos/disaster-1", "kernel_id": "26209199"}, {"ref": "windytsoi/nlp-with-logistic-regression-from-scratch", "kernel_id": "26130260"}, {"ref": "kanizz/nlp-getting-started-tutorial", "kernel_id": "26510171"}, {"ref": "luigisaetta/roberta-single-split-nb01", "kernel_id": "26660763"}, {"ref": "chuanyangj/basic-nlp", "kernel_id": "26781495"}, {"ref": "shaina2231/disaster-tweets-classification", "kernel_id": "26363317"}, {"ref": "leep22/disaster-tweets", "kernel_id": "26817776"}, {"ref": "titassaha/beginner-nlp-with-keras-wordcloud-visuals", "kernel_id": "26790063"}, {"ref": "figfiglol/disaster-classifying-with-nlp-nltk-tfidf-mlp", "kernel_id": "26008509"}, {"ref": "marutama/tweet-nlp-benchmark-1-cnn-rnn-with-glove-gt", "kernel_id": "26656773"}, {"ref": "marutama/tweet-nlp-benchmark-2-bert-family-gt", "kernel_id": "26657835"}, {"ref": "asmaamosa/nlp-getting-started", "kernel_id": "26114477"}, {"ref": "hpoddar2810/nlp-exploratory-data-analysis", "kernel_id": "26720447"}, {"ref": "jonibastian/nlp-disaster-classification", "kernel_id": "26856400"}, {"ref": "mxiaoyu/classification-fasttext", "kernel_id": "26194963"}, {"ref": "hkayesh/twitter-disaster-nlp-with-fine-tuned-distilbert", "kernel_id": "26257566"}, {"ref": "sajjaddehnoei/keras-tidytest-tm-stringr-etc-in-r-0-79926", "kernel_id": "26107467"}, {"ref": "sajjaddehnoei/basic-nlp-in-r", "kernel_id": "26088035"}, {"ref": "vaishantmakan/disaster-tweet-prediction", "kernel_id": "26925079"}, {"ref": "sanketsonu/bert-model-nlp-with-disaster-tweets", "kernel_id": "26151497"}, {"ref": "kumbaraci/logistic-regression-with-sgd", "kernel_id": "26947912"}, {"ref": "calebreigada/tensorflow-natural-language-processing-guide", "kernel_id": "26514764"}, {"ref": "rashid2048/nlp-with-disaster-tweets", "kernel_id": "26904857"}, {"ref": "mdruksharalam/rukshars-eda-with-disaster-tweets", "kernel_id": "26519483"}, {"ref": "ridhanyas/nlp-with-disaster-tweets-logistic-regression-80", "kernel_id": "26349529"}, {"ref": "yuliashevchenko137/nlp-with-disaster-tweets-eda", "kernel_id": "26765436"}, {"ref": "sisharaneranjana/nlp-with-disaster-tweets", "kernel_id": "26704379"}, {"ref": "elshangadimov/elshan-gadimov-sandsiv-model", "kernel_id": "26059952"}, {"ref": "elshangadimov/elshan-gadimov-sandsiv-eda", "kernel_id": "26052995"}, {"ref": "aswinpradeep/nlp-tweets-disaster-0-826", "kernel_id": "26865148"}, {"ref": "serpean/notebooke02f39cb7e", "kernel_id": "26427613"}, {"ref": "pchamoli191900/nlp-disaster-tweets-using-svc", "kernel_id": "26303552"}, {"ref": "pchamoli191900/nlp-disaster-tweets-using-deep-neural-network", "kernel_id": "26289748"}, {"ref": "guisira/nlp-disasters-lstm-conv1d-gru", "kernel_id": "26018183"}, {"ref": "guisira/nlp-with-disaster-tweets-by-using-lstm", "kernel_id": "26096464"}, {"ref": "kamyaedrine/sentiment-analysis", "kernel_id": "26764253"}, {"ref": "natsum11/basic-transfer-learning-nlp", "kernel_id": "26152368"}, {"ref": "ahmedmsoliman/82-accuracy", "kernel_id": "26563947"}, {"ref": "hykhhijk/base-tree-model-without-text-columns", "kernel_id": "26940370"}, {"ref": "ajayuser/nlp-with-disaster-tweets-sklearn", "kernel_id": "26865514"}, {"ref": "ajayuser/nlp-classif-tensorflow-logistic-regression", "kernel_id": "26932182"}, {"ref": "hengwdai/tweeter-h2o", "kernel_id": "26809359"}, {"ref": "hengwdai/tweeter-autox", "kernel_id": "26808946"}, {"ref": "hengwdai/tweeter-autogluon", "kernel_id": "26892952"}, {"ref": "rhythmcam/nlp-getting-started-using-berttokenizer", "kernel_id": "26868854"}, {"ref": "abdelrahmanesmat/nlp-project", "kernel_id": "26114104"}, {"ref": "abhirupghosh184098/natural-language-processing-with-disaster-tweets", "kernel_id": "26176820"}, {"ref": "eunhyeokpark/disaster-tweets", "kernel_id": "26831921"}, {"ref": "dariocioni/tf-idf", "kernel_id": "26100898"}, {"ref": "dariocioni/sentiment-analysis-with-rnns-disaster-tweets", "kernel_id": "26283792"}, {"ref": "rprkh15/nlp-eda-bert", "kernel_id": "26538277"}, {"ref": "animeshhalder/predict-which-tweets-are-about-real-disasters", "kernel_id": "26061279"}, {"ref": "saeedkhan01/nlp-with-disaster-tweets", "kernel_id": "26243323"}, {"ref": "stevenccoyne/sc-disaster-tweets-with-hf-bert", "kernel_id": "26727550"}, {"ref": "maryiaznak/disaster-tweets-classification-bow-vec-glove", "kernel_id": "26432909"}, {"ref": "hrishikeshjadhav/disaster-tweets", "kernel_id": "26053271"}, {"ref": "mohamedelgebaly/getting-started-with-nlp", "kernel_id": "26207287"}, {"ref": "jashanjotsinghbindra/disaster-tweets-ds-minor-project", "kernel_id": "26762302"}, {"ref": "dnyaneshwalwadkar/notebook0d6833e7ce", "kernel_id": "26012518"}, {"ref": "boshili/nlp-disaster-with-official-bert-model", "kernel_id": "26931888"}, {"ref": "boshili/textvectorization-bi-lstm", "kernel_id": "26831796"}, {"ref": "llnovall/nlp-disaster-tweets-logisticregression", "kernel_id": "26529351"}, {"ref": "llnovall/nlp-disaster-tweets-roberta", "kernel_id": "26551828"}, {"ref": "llnovall/nlp-disaster-tweets-na-ve-bayes", "kernel_id": "26554344"}, {"ref": "heggadal/tweetsclassification-lstm", "kernel_id": "26459123"}, {"ref": "masatoshikato/effective-eda-bert-in-nlp-bert-baseline", "kernel_id": "26806773"}, {"ref": "vk19bce099/irs-prac8-textclassi", "kernel_id": "26807781"}, {"ref": "reemaljaber/natural-lp-4", "kernel_id": "26286308"}, {"ref": "krittiwitkampradam/my-nlp", "kernel_id": "26601018"}, {"ref": "akshaypawar7/don-t-miss-what-s-happening", "kernel_id": "26502984"}, {"ref": "abdelrahmanohassan/getting-started-with-nlp", "kernel_id": "26193335"}, {"ref": "akashsdevbanshi/tensorflow-notebook-tweet-classification", "kernel_id": "26997376"}, {"ref": "zyaibi/sklearn-classify", "kernel_id": "26571165"}, {"ref": "zyaibi/pytorchwithbert", "kernel_id": "26467204"}, {"ref": "chaosee/nlp-bert-tweet", "kernel_id": "26609410"}, {"ref": "wamgisaac/tweet-prediction", "kernel_id": "26844572"}, {"ref": "reyhanehrigi/nlp-tweets", "kernel_id": "26251978"}, {"ref": "zegveld/natural-language-processing-nlp-for-beginners", "kernel_id": "26374868"}, {"ref": "palak1519/notebook0ea2e388a4", "kernel_id": "26913463"}, {"ref": "bkanupam/bilstm-with-attention", "kernel_id": "27430120"}, {"ref": "achoanilt/implementing-textblob-to-measure-severity", "kernel_id": "27454434"}, {"ref": "cfjfitzpatrick/notebookd8a5429894", "kernel_id": "27361953"}, {"ref": "hassanelgafif/disaster-tweets-with-lstm", "kernel_id": "27520122"}, {"ref": "vishwasgpai/a-simple-hugging-face-classifier", "kernel_id": "27971469"}, {"ref": "ajeetsingh17/tweet-prediction-using-pre-trained-glove-embedding", "kernel_id": "27874319"}, {"ref": "jugalkishore1232/tweet-classification", "kernel_id": "27260185"}, {"ref": "byeongz/smarcle-nlp-w4", "kernel_id": "27439928"}, {"ref": "byeongz/nlp-test", "kernel_id": "27497578"}, {"ref": "timetraveller98/berttttttt", "kernel_id": "27048426"}, {"ref": "dannymathew/3-nlp-classification", "kernel_id": "27781431"}, {"ref": "lkatran/keras-bert-tfhub", "kernel_id": "27594493"}, {"ref": "saidstar/tweet-disaster-classification", "kernel_id": "27549733"}, {"ref": "hark99/nlp-disaster-tweets-final", "kernel_id": "27840617"}, {"ref": "ajayraorao/naive-bayes-prediction", "kernel_id": "27442296"}, {"ref": "arnrob/disaster-tweets-and-the-winner-is-bert", "kernel_id": "27857899"}, {"ref": "jianzhangzhang/lecture-7-2", "kernel_id": "27028608"}, {"ref": "jaoferr/task-04-tweet-disaster-prediction-eda", "kernel_id": "27817218"}, {"ref": "jaoferr/task-04-tweet-disaster-prediction-bert-only", "kernel_id": "27915939"}, {"ref": "jaoferr/task-04-tweet-disaster-prediction-modeling", "kernel_id": "27900882"}, {"ref": "aminahnurrahmawati/twitter-nlp-tweet-disaster-classification", "kernel_id": "27949944"}, {"ref": "hykhhijk/soft-voting-using-lstm-and-random-forest", "kernel_id": "27691037"}, {"ref": "k0mp0t/nlp-getting-started", "kernel_id": "27193202"}, {"ref": "k0mp0t/nlp-getting-started-w-fasttext", "kernel_id": "27391348"}, {"ref": "kadircalkan/lstm-model-prediction-accu-98-62", "kernel_id": "27040600"}, {"ref": "aaa66666/nlp-final-project-disaster-prediction-for-tweet", "kernel_id": "27508884"}, {"ref": "formeforu/smarcle-w4-disaster-tweets", "kernel_id": "27358955"}, {"ref": "lucasgsalves/nlp-tweets", "kernel_id": "27882620"}, {"ref": "inyeongkang/nlp-beginners-eda-modeling", "kernel_id": "27490158"}, {"ref": "tahimakhatun/natural-language-processing-with-disaster-tweets", "kernel_id": "27030201"}, {"ref": "stuksed/my-nlp-tweets", "kernel_id": "27351605"}, {"ref": "mirhyun0508/basic-eda-cleaning-and-glove-copy", "kernel_id": "27510748"}, {"ref": "jiyajiwon/predict-disaster-tweet-with-nlp", "kernel_id": "27439918"}, {"ref": "dbgurwo/smc-basic-eda-cleaning-and-glove", "kernel_id": "27439021"}, {"ref": "appleturnovers/natural-language-processing-with-tensorflow", "kernel_id": "27399918"}, {"ref": "appleturnovers/nlp-intro", "kernel_id": "27376369"}, {"ref": "chanemo/sentiment-classification-using-transformers", "kernel_id": "27627633"}, {"ref": "song3song/smc-disaster-tweets-feat-nlp", "kernel_id": "27431629"}, {"ref": "pankajkumar2002/twitter-nlp-tensorflow-bert", "kernel_id": "27909808"}, {"ref": "nizarkarkar/nlp-bert", "kernel_id": "27579664"}, {"ref": "swan706/sms-spam-nlp", "kernel_id": "27470525"}, {"ref": "manudeep123/natural-language-processing-with-disaster-tweets", "kernel_id": "27240539"}, {"ref": "reemaljaber/bert-5", "kernel_id": "27078535"}, {"ref": "cwonseo/smarcle-kaggle-study-disaster-tweets", "kernel_id": "27413454"}, {"ref": "frankschindler1/disaster-tweets-classification-with-neural-network", "kernel_id": "27405346"}, {"ref": "amirhosainmahdiani/nlp-with-disaster", "kernel_id": "27540986"}, {"ref": "youneskhandouch/nlp-tweet-disaster-classification", "kernel_id": "27201182"}, {"ref": "muhannadmansour/nlp-for-disaster-tweets-classification", "kernel_id": "27122285"}, {"ref": "lievejilesen/nlp-getting-started-tutorial", "kernel_id": "27644892"}, {"ref": "flanishimura/pln-cdours", "kernel_id": "27729740"}, {"ref": "humanee/notebook4b1d16818b", "kernel_id": "27800601"}, {"ref": "ilyavoronin228/notebooka10d4b3cbe", "kernel_id": "27800549"}, {"ref": "alinaageichik/eda-bert-roberta-xlmroberta-and-ensembles", "kernel_id": "27574612"}, {"ref": "chetan723/tambad-assignment-9", "kernel_id": "27563719"}, {"ref": "danielkleeman/nlp-disaster-baseline", "kernel_id": "27859643"}, {"ref": "funnycharlie/my-nlp", "kernel_id": "27725383"}, {"ref": "wadjihbencheikh/nlp-tweets-disaster", "kernel_id": "27564071"}, {"ref": "programmerrdai/nlp-with-disaster-tweets-pytorch", "kernel_id": "27030911"}, {"ref": "programmerrdai/nlp-disaster-tweets-with-sklearn", "kernel_id": "27156339"}, {"ref": "ayushiag15/notebook5ba66ced14", "kernel_id": "27048327"}, {"ref": "lucasportodealmeida/0-79926-without-deep-learning", "kernel_id": "27781342"}, {"ref": "yeshodanarayanan/nlp-with-disaster-tweets-pytorch", "kernel_id": "27052741"}, {"ref": "akitomosato/disaster-bert", "kernel_id": "27298973"}, {"ref": "vkucla/transformers-submit", "kernel_id": "27092971"}, {"ref": "shivaprakashsj/predicting-disasters-by-using-a-voting-classifier", "kernel_id": "27296624"}, {"ref": "hakeemgadi/bertsmall-classifier-fine-tuned-to-disaster-tweets", "kernel_id": "27706392"}, {"ref": "tell1124/nlp-for-beginners", "kernel_id": "27808709"}, {"ref": "paragap/classify-disaster-tweets", "kernel_id": "28231300"}, {"ref": "paragap/bert-to-classify-disaster-related-tweets", "kernel_id": "28274882"}, {"ref": "sdaveds/nlp-getting-started-tutorial", "kernel_id": "28927116"}, {"ref": "krishnakumarpandit/ai03-trim-02-module-06-nlp-day03-disaster", "kernel_id": "28831389"}, {"ref": "soheiltehranipour/from-eda-to-training-nlp-tweets-transformers", "kernel_id": "28527182"}, {"ref": "tomleung1996/twitter-nlp-text-classification", "kernel_id": "28146394"}, {"ref": "hatemalamir/basic-embedding", "kernel_id": "28796013"}, {"ref": "imanjunathn/disaster-tweets-classification-with-dl-nlp", "kernel_id": "28543465"}, {"ref": "aroonima12/disaster-tweets-lstm", "kernel_id": "28269123"}, {"ref": "rakeshku1993/edadisastertweets", "kernel_id": "28376733"}, {"ref": "rakeshku1993/tfidf-naive-bayes-baselinemodel-80-f1-score", "kernel_id": "28376696"}, {"ref": "rakeshku1993/eda-preprocessing-emedding-model", "kernel_id": "28697518"}, {"ref": "seoyoungjeong/seo-young-jeong", "kernel_id": "28319894"}, {"ref": "jwk323/nlp-practice", "kernel_id": "28734281"}, {"ref": "guptadikshant/nlp-disaster-xgb-optuna", "kernel_id": "28331521"}, {"ref": "maxdanylewitch/nlp-with-disaster-tweets-eda-and-cleaning-data", "kernel_id": "28155620"}, {"ref": "saradahlandersen/ridge-vs-svc-vs-random-forest", "kernel_id": "28703218"}, {"ref": "rahmafarag/nlp-assigment4", "kernel_id": "28153069"}, {"ref": "owaiskhan9654/keyword-extraction-and-ner-tagging-spacy", "kernel_id": "28528974"}, {"ref": "sreeshbk/disaster-tweet-prediction", "kernel_id": "28140157"}, {"ref": "codebond/nlp-noobie", "kernel_id": "28824937"}, {"ref": "tracyporter/udemy-identify-the-disaster-spacy", "kernel_id": "28307998"}, {"ref": "tracyporter/nlp-nltk-1", "kernel_id": "28191405"}, {"ref": "tracyporter/udemy-identify-the-disaster-sklearn", "kernel_id": "28329142"}, {"ref": "alid3bs/lstm-vs-gru-vs-bidirectional", "kernel_id": "28485222"}, {"ref": "moatazbellahahmed/natural-language-processing-with-disaster-tweets", "kernel_id": "28361806"}, {"ref": "asmaamohy/dl-for-nlp", "kernel_id": "28188251"}, {"ref": "shreyasdhaware/getting-started-with-nlp", "kernel_id": "28594429"}, {"ref": "marwarabia/nlp-disaster-tweets", "kernel_id": "28189816"}, {"ref": "ryanbarretto/debertatrainingandinference-84-7", "kernel_id": "28409174"}, {"ref": "danilastepochkin/disaster-tweets-dl-with-lstm-and-language-model", "kernel_id": "28050306"}, {"ref": "danilastepochkin/disaster-tweets-eda-ensembling-classic-models", "kernel_id": "28026180"}, {"ref": "abdulaziz04/featureextraction-randomforestclassifier", "kernel_id": "28753605"}, {"ref": "alehandro35/word2vec-vs-glove-in-tweet-classification", "kernel_id": "28076548"}, {"ref": "danielcoloma/prueba-bert", "kernel_id": "28264022"}, {"ref": "danielcoloma/prueba-bayes", "kernel_id": "28280353"}, {"ref": "yadavravikant08/tweets", "kernel_id": "28292546"}, {"ref": "yadavravikant08/text-classification-using-bert", "kernel_id": "28956782"}, {"ref": "neoksei/bert-catboost", "kernel_id": "28265180"}, {"ref": "amirdhavarshinis/nlp-disaster-tweets-lstm", "kernel_id": "28245310"}, {"ref": "aya25hassan/disaster-nlp", "kernel_id": "28304695"}, {"ref": "yashpame/natural-language-processing-with-disaster-tweets", "kernel_id": "28899338"}, {"ref": "anubhavde/natural-language-processing-with-disaster-tweets", "kernel_id": "28114964"}, {"ref": "yoshidamotonobu/bert-tweetl", "kernel_id": "28592997"}, {"ref": "naresh87/best-nlp-disaster-tweets-classifier-59ca3c", "kernel_id": "28480122"}, {"ref": "akhiltulluri/learning-nlp", "kernel_id": "28197202"}, {"ref": "albertagungandika/nlp-beginner-for-disaster-tweet", "kernel_id": "28920991"}, {"ref": "asmaabdolahpoor/disaster-tweets-classification-nlp-bert", "kernel_id": "28808004"}, {"ref": "pankajkumar2002/twitter-sentiment-doc2vec", "kernel_id": "28588551"}, {"ref": "burhanuddinlatsaheb/transformer-model-comparision-for-disaster-tweet", "kernel_id": "28618507"}, {"ref": "veivel/nlp-disaster-tweets-with-naivebayes", "kernel_id": "28198759"}, {"ref": "paulmaitre/nlp-twitter-pm", "kernel_id": "28243892"}, {"ref": "renadn/mayhem-the-ship-is-going-down", "kernel_id": "28239542"}, {"ref": "ksavleen/nlp-disaster-tweets-naive-bayes-svm", "kernel_id": "28240180"}, {"ref": "rumbleftw/nlp-with-word-embeddings-in-tensorflow", "kernel_id": "28747182"}, {"ref": "sukhadadharangaonkar/classification-of-disaster-tweets", "kernel_id": "28246778"}, {"ref": "fatimamelsaadny/disaster-tweets", "kernel_id": "28343929"}, {"ref": "juanbadaldesportes/disaster-tweets-ceste-clasificadores", "kernel_id": "28281360"}, {"ref": "juanbadaldesportes/disaster-tweets-ceste-bert", "kernel_id": "28285136"}, {"ref": "dipakvmurkute/classify-of-disaster-tweet", "kernel_id": "28270777"}, {"ref": "jvkchaitanya410/nlp-with-disaster-tweets-tweet-tokenizer-tf-idf", "kernel_id": "28736907"}, {"ref": "x1akshay/tweets-analysis-eda", "kernel_id": "28387515"}, {"ref": "akashkotal/nlp-with-disaster-tweets-using-tensorflow", "kernel_id": "28757958"}, {"ref": "swetarajsinha/disaster-tweets", "kernel_id": "28249168"}, {"ref": "rijudhara/disaster-tweets-classification", "kernel_id": "28599355"}, {"ref": "saeidghomi/disaster-tweets-with-nlp", "kernel_id": "28527256"}, {"ref": "hadisanei/disaster-tweet-eda-nlp", "kernel_id": "28528133"}, {"ref": "ltrahul/disaster-tweets-by-using-bert-83-f1-score", "kernel_id": "28770796"}, {"ref": "ltrahul/nlp-disaster-tweets-prediction-with-nltk-and-lstm", "kernel_id": "28754951"}, {"ref": "ltrahul/twitter-disaster-prediction-by-using-bert-81-f1", "kernel_id": "28761130"}, {"ref": "samratabduljalil/basic-and-simple-nlp-code-clear", "kernel_id": "28313275"}, {"ref": "sarthmirashi07/the-bert-is-the-word-disaster-tweets", "kernel_id": "28327864"}, {"ref": "kinjalakpathak/notebookbf334b400c", "kernel_id": "28201836"}, {"ref": "kvinsebeves/notebookabba0d9b61", "kernel_id": "28145522"}, {"ref": "akuakawakami/data-science-submission-version", "kernel_id": "28563305"}, {"ref": "htether/notebook6d10ac94b7", "kernel_id": "28564652"}, {"ref": "arkgrape800/notebooke3a313a7d4", "kernel_id": "28751642"}, {"ref": "helloworldjp/nlp-dt", "kernel_id": "28496340"}, {"ref": "davidberghaus/tweet-disaster", "kernel_id": "28337770"}, {"ref": "teruendo/ds4-8c70bd6dd8", "kernel_id": "28693433"}, {"ref": "katomu/fork-of-notebook-bert1", "kernel_id": "28773776"}, {"ref": "tomokikikugawa/ds-competition", "kernel_id": "28510111"}, {"ref": "kaffee/notebook9b01be1f64", "kernel_id": "28772909"}, {"ref": "takahashikosuke/notebook9b01be1f64", "kernel_id": "28772872"}, {"ref": "takahashikosuke/notebookc25eff661e", "kernel_id": "28981016"}, {"ref": "yusukemoriaaa/notebook3ba1674586", "kernel_id": "28563731"}, {"ref": "kotonekubo/datascience1", "kernel_id": "28689995"}, {"ref": "yamashitasonoka/notebook40eb1455f9", "kernel_id": "28981793"}, {"ref": "snoguchi3540/notebook0a03b1e905", "kernel_id": "28735726"}, {"ref": "satohmichi/datascience6group", "kernel_id": "28766158"}, {"ref": "c612235003/ds-nlpwdt-keras", "kernel_id": "28687659"}, {"ref": "akiradeba/notebook9b01be1f64", "kernel_id": "28498373"}, {"ref": "ujsixletters/disaster-tweets", "kernel_id": "28489587"}, {"ref": "nabanitaroy/getting-started-with-distilbert", "kernel_id": "29903185"}, {"ref": "nabanitaroy/eda-and-tf-idf-prediction-model-with-80-accuracy", "kernel_id": "29899991"}, {"ref": "cyborg123/disaster-nlp-v1", "kernel_id": "29525253"}, {"ref": "oscarm524/nlp-on-tweets-fe-baseline-model-70-f1-score", "kernel_id": "29800358"}, {"ref": "hayman42/nlp-getting-started", "kernel_id": "29266869"}, {"ref": "hark99/disaster-tweets-with-transformer", "kernel_id": "29624183"}, {"ref": "tangtunyu/10botics-nlp", "kernel_id": "29364629"}, {"ref": "tmishinev/nlp-disaster-tweets-keras-lstm", "kernel_id": "29849037"}, {"ref": "tmishinev/nlp-d-tweets-keras-bert-0-83", "kernel_id": "29876925"}, {"ref": "yagli18/natural-language-processing-with-disaster-tweets", "kernel_id": "29894382"}, {"ref": "safaafathii/nlp-with-disaster-tweets-logistic-naive-bayes", "kernel_id": "29711846"}, {"ref": "shiladityabasu/disaster-tweet-analysis-classification", "kernel_id": "29297420"}, {"ref": "saumitgp/disaster-tweet-nlp-bag-of-words", "kernel_id": "29624591"}, {"ref": "saumitgp/disaster-tweet-nlp-prediction", "kernel_id": "29621959"}, {"ref": "tofunmiah/interpretive-multiplicity-disaster-tweets", "kernel_id": "29513766"}, {"ref": "siddhawan/nlp-disaster-prediction-with-bert", "kernel_id": "29579090"}, {"ref": "huangjingstark/detect-real-disaster-detail-explanation", "kernel_id": "29425996"}, {"ref": "khunnurjirao/nlp-with-disaster-tweets", "kernel_id": "29889254"}, {"ref": "sakayotoadoumsari/nlp-tweets-disaster", "kernel_id": "29537472"}, {"ref": "andreasstavrou/nlp-with-glove", "kernel_id": "29549646"}, {"ref": "istabraqalruhaili/natural-language-processing-with-disaster-tweets", "kernel_id": "29736452"}, {"ref": "prinjeshshah/nlp-classification-tf-idf-and-ridgeclassifier", "kernel_id": "29880604"}, {"ref": "prinjeshshah/nlp-classification-cleaning-glove-and-simplelstm", "kernel_id": "29708739"}, {"ref": "trhgquan/disaster-tweet-using-rnn-from-tensorflow-tutorial", "kernel_id": "29073075"}, {"ref": "bhardwajamiriyala/nlp-getting-started-with-tensorflow", "kernel_id": "29565479"}, {"ref": "cellanhall/spacy-cleaner", "kernel_id": "29943524"}, {"ref": "ahmedashraf123/nlp-for-disaster-tweets", "kernel_id": "29573078"}, {"ref": "tomasfilip/tweet-disaster-with-distilbert", "kernel_id": "29242140"}, {"ref": "ashokkumargarain/notebook5c623af447", "kernel_id": "29530260"}, {"ref": "rafanojek/almost-complete-eda", "kernel_id": "29160602"}, {"ref": "ayushrathi47/finding-disaster-tweets-using-tensorflow", "kernel_id": "29019084"}, {"ref": "jithinanievarghese/bertweet-pytorch-83-accuracy", "kernel_id": "29762500"}, {"ref": "pythonkumar/nlp-with-sklearn-svm", "kernel_id": "29803904"}, {"ref": "rishabh2007/78-acc-nlp-on-disaster-tweets", "kernel_id": "29727418"}, {"ref": "shibumohapatra/nlp-with-disaster-tweets", "kernel_id": "29434609"}, {"ref": "alexey95/nlp-classification-twitter-messages-bert", "kernel_id": "29738308"}, {"ref": "abdulkarimab/nlp-with-disaster-tweets", "kernel_id": "29379695"}, {"ref": "gabedossantos/killer-bert-tutorial", "kernel_id": "29828295"}, {"ref": "sayelabualigah/classical-ml-with-78-9-level-of-accuracy", "kernel_id": "29660328"}, {"ref": "odaymourad/detailed-and-full-solution-78-4-score", "kernel_id": "29632537"}, {"ref": "ajayuser/nlp-classif-tensorflow-bi-directional-lstm", "kernel_id": "29499783"}, {"ref": "ajayuser/nlp-classif-tensorflow-attention-model", "kernel_id": "29501498"}, {"ref": "hkhiroshima/nlp-disaster-tweets-eda", "kernel_id": "29611684"}, {"ref": "hasanatlodhi/nlp-twitter-disaster-with-lstm", "kernel_id": "29652105"}, {"ref": "danrosa10/comp-disaster-tweets", "kernel_id": "29383314"}, {"ref": "rajeevnair676/nlp-for-all-part-2", "kernel_id": "29964074"}, {"ref": "rajeevnair676/nlp-forall-part1", "kernel_id": "29712662"}, {"ref": "maverickss26/universal-sentence-encoder-xgboost", "kernel_id": "29901939"}, {"ref": "maverickss26/deep-learning-based-disaster-tweet-analysis", "kernel_id": "29787049"}, {"ref": "mahmoudftolba/natural-language-processing-with-disaster-tweets", "kernel_id": "29304425"}, {"ref": "astraz93/beginner-hashingvectorizer", "kernel_id": "29778941"}, {"ref": "satyaprakashshukl/nlp-eda-on-tweet-disaster-oneline", "kernel_id": "29496962"}, {"ref": "kemalfarukbaaran/natural-language-processing-with-disaster-tweets", "kernel_id": "29491025"}, {"ref": "sergeyyakovlev1312/nlp-svc", "kernel_id": "29446798"}, {"ref": "yoshidamotonobu/notebook66c34f45c6", "kernel_id": "29016828"}, {"ref": "mertkurttutan/bert-updated-tf-hub-api-ensemble", "kernel_id": "29654709"}, {"ref": "infamouscoder/nlp-for-disaster", "kernel_id": "29474640"}, {"ref": "lusfernandotorres/automl-getting-started-with-nlp-with-pycaret", "kernel_id": "29258095"}, {"ref": "edankinderman/nlp-disaster-tweets-eda-bert-explainability", "kernel_id": "29924442"}, {"ref": "julianowakowska/natural-language-processing-regression", "kernel_id": "29744068"}, {"ref": "abhismehra/randomforestclassifier-countvectorizer", "kernel_id": "29118747"}, {"ref": "hwan1park/gru-tutorial", "kernel_id": "29662813"}, {"ref": "mcantoni81/nlp-disaster-tweet-bow-classifier", "kernel_id": "29361836"}, {"ref": "mcantoni81/nlp-tools-01-token-stemming-and-lemmatization", "kernel_id": "29732576"}, {"ref": "maushamjha/disaster-tweets-nlp-80-naivebayes", "kernel_id": "29833727"}, {"ref": "hunghoanglong/nlp-with-disaster-tweets-using-tensorflow", "kernel_id": "29475395"}, {"ref": "atrijtalgery/nlpdistweets80-tweettok-tfidf-gridsearch", "kernel_id": "29981215"}, {"ref": "ryuyoon/nlp-getting-started", "kernel_id": "29271228"}, {"ref": "namelessfairy/transform-and-roll-out", "kernel_id": "29685926"}, {"ref": "amirhosainmahdiani/natural-language-processing-with-disaster-tweets", "kernel_id": "29365709"}, {"ref": "xixihaha318/disaster-tweets-processing-with-pytorch", "kernel_id": "29887284"}, {"ref": "ayushmaria/nlp-disaster-tweets", "kernel_id": "29187772"}, {"ref": "billalmokhtari/disaster-tweets", "kernel_id": "29763849"}, {"ref": "hardeybisey/nlp-eda-on-disaster-tweet", "kernel_id": "29781141"}, {"ref": "usamabalochhh/eda-full-logistic-regression-explanation", "kernel_id": "29356281"}, {"ref": "usamabalochhh/comparison-of-tree-based-models-with-explanation", "kernel_id": "29050750"}, {"ref": "eliotn/nlp-model", "kernel_id": "29396045"}, {"ref": "eliotn/bert-model-nlp", "kernel_id": "29807984"}, {"ref": "adangonzalez/natural-language-processing-with-disaster-tweets", "kernel_id": "29606539"}, {"ref": "avyayaperka/nlp-keras", "kernel_id": "29979602"}, {"ref": "corazon17/disaster-tweets-analysis-and-classification", "kernel_id": "29032163"}, {"ref": "kk0071/ds-nlpwdt-keras-4", "kernel_id": "29171158"}, {"ref": "tatsuyamiki/loc-gpe", "kernel_id": "29157629"}, {"ref": "hsiaolihao/notebook66c34f45c6", "kernel_id": "29118278"}, {"ref": "shintanimiwa/notebook555b8ee67c", "kernel_id": "29099415"}, {"ref": "sanketbodake/natural-language-processing-with-disaster-tweets", "kernel_id": "29264875"}, {"ref": "antdeniz/notebooke8b683ab34", "kernel_id": "29125788"}, {"ref": "kallefischer/nlp-disaster-bert", "kernel_id": "29579024"}, {"ref": "kallefischer/nlp-disaster-cleaning-feature-engineering-eda", "kernel_id": "29570509"}, {"ref": "themichaelchen/twitter-disaster-relief-competition", "kernel_id": "29289407"}, {"ref": "francescoliveras/nlp-dl-es-en", "kernel_id": "29684380"}, {"ref": "duyen21/nlp-twitter", "kernel_id": "29437413"}, {"ref": "danielmariz/notebooknlp-getting-started", "kernel_id": "29307377"}, {"ref": "lucianfox/pos-filtering-tfidf-and-count-vectorizer", "kernel_id": "29606488"}, {"ref": "lucianfox/disaster-tweets-embeddings-ann", "kernel_id": "29839611"}, {"ref": "lucianfox/nlp-tutorial-wordcloud-word2vec-optuna", "kernel_id": "29765136"}, {"ref": "pedrocjardim/intro-tf-idf-and-decision-tree", "kernel_id": "29968534"}, {"ref": "paragap/lstm-classifier-to-predict-disaster-tweet", "kernel_id": "30865311"}, {"ref": "gpreda/excerpt-from-the-dl4nlp-we-lstm", "kernel_id": "30014142"}, {"ref": "loka1282/beginner-svc-rbf", "kernel_id": "30573745"}, {"ref": "vijayendrad/finetuning-bert-for-tweet-sentiment-prediction", "kernel_id": "30586176"}, {"ref": "vijayendrad/nlp-with-disaster-tweets", "kernel_id": "30541268"}, {"ref": "div1996p/nlp-disaster-tweets-tf-idf", "kernel_id": "30227723"}, {"ref": "div1996p/nlp-disaster-tweets-word2vec-beginner", "kernel_id": "30197353"}, {"ref": "bwallyn/nlp-disaster-tweets-huggingface-model", "kernel_id": "30689043"}, {"ref": "vitalier/lstm-for-comments-conv1d-for-location-keyword", "kernel_id": "30998701"}, {"ref": "bilalbayrakdar/text-classification-with-pytorch", "kernel_id": "30980832"}, {"ref": "yy123123/rf-lr-nb", "kernel_id": "30725223"}, {"ref": "mrhaidara/83-accuracy-with-svm", "kernel_id": "30829236"}, {"ref": "kdecision/disaster-tweets", "kernel_id": "30954618"}, {"ref": "lillyschwarzenbach/disaster-tweets-with-distilbert", "kernel_id": "30335842"}, {"ref": "kskayalvizhi/excercise-nlp-with-disaster-tweets", "kernel_id": "30059486"}, {"ref": "arti1117/natural-language-processing-with-disaster-tweets", "kernel_id": "30995897"}, {"ref": "umegshamza/disaster-tweets-analysis-and-solution", "kernel_id": "30952694"}, {"ref": "denozavrus/nlp-base-pytorch-lightning", "kernel_id": "30456027"}, {"ref": "baubles/disaster-tweets-nlp", "kernel_id": "30286259"}, {"ref": "joshknize/nlp-feature-engineering", "kernel_id": "30269721"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-linear-regression", "kernel_id": "30877457"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "milanashhanukova/disaster-competition-text-classification", "kernel_id": "30425290"}, {"ref": "pranjalrathore/disaster-tweets-classification-using-blending", "kernel_id": "30385830"}, {"ref": "shivamshrivastava21/tweet-disaster", "kernel_id": "30886609"}, {"ref": "saifshahriar/disaster-prediction-with-logistic-regression", "kernel_id": "30532261"}, {"ref": "rafanojek/dashboard-models-f1-score-83-6", "kernel_id": "30106952"}, {"ref": "leodray/notebook-tweets-disaster", "kernel_id": "30123619"}, {"ref": "alsayedhamdy/disaster-tweets-analysis-and-solution", "kernel_id": "30876309"}, {"ref": "neesham/nlp-for-beginners", "kernel_id": "30979766"}, {"ref": "bobsideshow/my-feeble-attempt-at-ntp-2022-9-28", "kernel_id": "30763087"}, {"ref": "sarindasamarasinghe/assignment-2", "kernel_id": "30886866"}, {"ref": "sgonzalez138/notebookdec980539c", "kernel_id": "30690931"}, {"ref": "selvasubramanians/disaster-tweet-classification-with-bert", "kernel_id": "30942118"}, {"ref": "benjaminahlbrecht/nlp-with-disaster-tweets", "kernel_id": "30646048"}, {"ref": "ankit8467/twitter-disaster-analysis", "kernel_id": "30459489"}, {"ref": "muhammadmoinfaisal/bow-tfidf-tokenizer-naive-bayes-deci-tree-conv1d", "kernel_id": "30499739"}, {"ref": "mahendrasinghrajpoot/advancing-with-the-nlp", "kernel_id": "30579863"}, {"ref": "yazanabuawad/disaster-tweets-simple-approach", "kernel_id": "30979464"}, {"ref": "mattison/nlp-with-disaster-tweets", "kernel_id": "30144557"}, {"ref": "blackgaurd/nlp-preprocessing-fasttext", "kernel_id": "30882031"}, {"ref": "peremartramanonellas/guide-tweet-analysis-with-transfer-learning", "kernel_id": "30646934"}, {"ref": "peremartramanonellas/tutorial-tweet-analysis-with-logistic-regression", "kernel_id": "30480916"}, {"ref": "niggoo/nlp-disaster-tweets-classification", "kernel_id": "30104526"}, {"ref": "meln1337/nlp-with-disaster-countvectorizer-vs-tfidf", "kernel_id": "30175119"}, {"ref": "mohamedelsaadany/identify-disaster-tweets-ml", "kernel_id": "30266793"}, {"ref": "anantpandey29/disaster-tweets-analysis-classification", "kernel_id": "30351947"}, {"ref": "singal/nlp-with-disasters-tweets", "kernel_id": "30276135"}, {"ref": "parker27/nlp-lstm", "kernel_id": "30924306"}, {"ref": "hummmmm/using-distilbert-to-predit-disaster-tweets", "kernel_id": "30508141"}, {"ref": "abhismehra/bert-basic", "kernel_id": "30167769"}, {"ref": "prashantverma13/disaster-tweets-classification-using-lstm", "kernel_id": "30277719"}, {"ref": "aleemaparakatta/nlp-disaster-tweets", "kernel_id": "30303338"}, {"ref": "uom190649f/notebookfbe2b63cd9", "kernel_id": "30877600"}, {"ref": "rushikeshdhaigude/nlp-disaster-tweets", "kernel_id": "30477849"}, {"ref": "rutikachavan/text-processing-naive-bayes-method", "kernel_id": "30522809"}, {"ref": "rutikachavan/prediction-using-neural-network", "kernel_id": "30655882"}, {"ref": "godwinnwalozie/mazi-nlp-disaster-tweet-prediction", "kernel_id": "30775325"}, {"ref": "mateotfuentes/xgboost-and-lstm-for-disaster-tweets", "kernel_id": "30668444"}, {"ref": "karanchinchpure/nlp-pipeline-details-explained", "kernel_id": "30254523"}, {"ref": "subhadeepdebnath/nlp-disaster-tweets-lstm-complete-guide", "kernel_id": "30244094"}, {"ref": "rayenghali023/tf-distilbert-model-disaster-tweets-nlp", "kernel_id": "30205385"}, {"ref": "pariyawan02/sentiment-analysis", "kernel_id": "30512253"}, {"ref": "bellapisani/practice-bert-with-disaster-tweets", "kernel_id": "30279237"}, {"ref": "sujithmandala/disaster-tweets-sentiment-analysis-using-nlp", "kernel_id": "30859233"}, {"ref": "yashpaloswal/naive-bayes-tweet-classification", "kernel_id": "30643576"}, {"ref": "brandonlwillett/nlp-disaster-tweets", "kernel_id": "30433381"}, {"ref": "rizkia14/a-complete-guide-to-k-nearest-neighbours", "kernel_id": "30958103"}, {"ref": "shahrosek/disaster-tweet-classification", "kernel_id": "30819952"}, {"ref": "brianpychen/tweet-disaster", "kernel_id": "30813168"}, {"ref": "stautxie/nlp-twitter-disaster", "kernel_id": "31608023"}, {"ref": "tunguz/twitter-disaster-with-tf-idf-and-lr", "kernel_id": "31663945"}, {"ref": "capekn/simple-glove-vector-approach", "kernel_id": "31794610"}, {"ref": "donkeys/distilbert-xlnet-with-tf-and-huggingface", "kernel_id": "31556077"}, {"ref": "kirill94a/nlp-analytics-and-bert-on-tpu", "kernel_id": "31853886"}, {"ref": "tejasurya/guide-to-nlp-using-textblob-with-disaster-tweets", "kernel_id": "31304945"}, {"ref": "tejasurya/google-bert-tfhub-on-disaster-tweets", "kernel_id": "31796246"}, {"ref": "gargvg/nlp-disaster-tweets", "kernel_id": "31097925"}, {"ref": "harits/analysis-templates-for-text-classification", "kernel_id": "31403252"}, {"ref": "stpeteishii/disaster-tweet-bert-lgbm", "kernel_id": "31056934"}, {"ref": "flaviagg/competition1", "kernel_id": "31106802"}, {"ref": "tindnguyen/fine-tune-distillbert", "kernel_id": "31602597"}, {"ref": "afi1289/nlp-with-disaster-tweets-cleaning-tf-idf-and-bert", "kernel_id": "31537949"}, {"ref": "chepenkoroman/disastertweetsmodel", "kernel_id": "31745321"}, {"ref": "utkusado/nlp-with-disaster-tweets", "kernel_id": "31740985"}, {"ref": "mertbozkurt5/basic-disaster-tweet-classification", "kernel_id": "31055579"}, {"ref": "cielokim/natural-language-processing-with-disaster-tweets", "kernel_id": "31305815"}, {"ref": "tanknee/nlp-getting-started-with-bert-large", "kernel_id": "31721873"}, {"ref": "sukanyachinwicha/basic-eda-cleaning-and-glove", "kernel_id": "31655219"}, {"ref": "teowaihong/disaster-tweet-classification", "kernel_id": "31320473"}, {"ref": "polaternez/disaster-tweets-analysis-stackingclassifier", "kernel_id": "31796095"}, {"ref": "vangelistsiatouras/natural-disaster-detection-using-lr", "kernel_id": "31596614"}, {"ref": "farhanaliraza/text-classification-gpt2-elmo-distillbert", "kernel_id": "31476654"}, {"ref": "mahmoudsaeed01/nlp-with-disaster-tweets-eda-bert", "kernel_id": "31401658"}, {"ref": "juwonyeo/disaster-tweets-with-logistic-regression", "kernel_id": "31445753"}, {"ref": "yosefwalemneh/glove-embeddings-natural-disaster-classification", "kernel_id": "31750076"}, {"ref": "priyanagda/logistic-regression", "kernel_id": "31491962"}, {"ref": "priyanagda/fastai-transfer-learning", "kernel_id": "31563978"}, {"ref": "ahmedgamal12/tweeter-text-classifier", "kernel_id": "31033291"}, {"ref": "tarundalal/beginners-guide-for-text-classification-using-lstm", "kernel_id": "31829259"}, {"ref": "hari31416/disaster-tweets-models", "kernel_id": "31312173"}, {"ref": "hari31416/disaster-tweets-preprocessing", "kernel_id": "31501719"}, {"ref": "ohba0321/nlp-with-disaster-pytorch-lightning-and-bertweet", "kernel_id": "31851102"}, {"ref": "klyushnik/nlp-natural-language-processing-xgb-and-lstm", "kernel_id": "31996669"}, {"ref": "naoshigedoi/nlp-with-disaster-tweets", "kernel_id": "31121098"}, {"ref": "kyungheecha/tweets-cls-using-pre-trained-bert-with-pytorch", "kernel_id": "31905359"}, {"ref": "alessandrozanette/tweets-predictions-nlp-tfidfvectorizer-logreg-cv", "kernel_id": "31733162"}, {"ref": "zhuyuqiang/transformer-encoder-for-classification-in-pytorch", "kernel_id": "31679392"}, {"ref": "abrorshopulatov/simple-model-using-transformers-and-fastai", "kernel_id": "31713451"}, {"ref": "eiue6866/practice-bert-with-disaster-tweets", "kernel_id": "31518744"}, {"ref": "zhijiao/disaster-tweets-with-bert-base", "kernel_id": "31877480"}, {"ref": "jocker3/natural-language-processing-with-disaster-tweets", "kernel_id": "31909882"}, {"ref": "timurrashitov/nlp-xgb", "kernel_id": "31064458"}, {"ref": "sierra11/acada-mod6-capstone-project", "kernel_id": "31896644"}, {"ref": "gobals89/nlp-getting-started-tutorial", "kernel_id": "31521401"}, {"ref": "carlosvallejo01/fork-of-homework", "kernel_id": "31956035"}, {"ref": "carlosvallejo01/homework", "kernel_id": "31952159"}, {"ref": "rafiromolo/nlp-with-disaster-tweets-with-multinomialnb", "kernel_id": "31736553"}, {"ref": "ashx010/nlp-basic-tutorial", "kernel_id": "31556183"}, {"ref": "marcy123/nlp-v2022-83", "kernel_id": "31539945"}, {"ref": "tiansztianszs/english-text-classification", "kernel_id": "31847865"}, {"ref": "shahrosek/disaster-tweet-classification-v1", "kernel_id": "31085918"}, {"ref": "srk121221/disaster-tweet-classification", "kernel_id": "31041826"}, {"ref": "krishnakumarpeak/basic-eda-cleaning-and-glove", "kernel_id": "31126167"}, {"ref": "gabrielcamps/disaster-tweets-using-huggingface-transformers", "kernel_id": "31701123"}, {"ref": "runoharris/nlp-disaster-tweets-bert-model", "kernel_id": "31968119"}, {"ref": "alechanu/3-nlp-methods-for-disaster-tweets-analysis", "kernel_id": "31830730"}, {"ref": "mdfarzana/disaster-tweets-classification", "kernel_id": "32158428"}, {"ref": "vshantam/disaster-tweet-classification-best-accuracy-83", "kernel_id": "32790559"}, {"ref": "niedermayer/nlp-with-disaster-tweets-01", "kernel_id": "32737572"}, {"ref": "takamichitoda/disaster-tweets-deberta-v3-xsmall-awp", "kernel_id": "32927537"}, {"ref": "takamichitoda/disaster-tweets-deberta-v3-xsmall-fgm", "kernel_id": "32927315"}, {"ref": "takamichitoda/disaster-tweets-deberta-v3-xsmall-sift", "kernel_id": "32928122"}, {"ref": "takamichitoda/disaster-tweets-deberta-v3-xsmall-baseline", "kernel_id": "32578625"}, {"ref": "takamichitoda/disaster-tweets-setfit", "kernel_id": "32544215"}, {"ref": "morganch/fastai-and-transformers-with-bert", "kernel_id": "32860582"}, {"ref": "mohitduklan/bert-is-best", "kernel_id": "32700784"}, {"ref": "navaneeth4/transformers-huggingface-beginners-guide", "kernel_id": "32227955"}, {"ref": "darkcore/nlp-w-disaster-tweets", "kernel_id": "32478651"}, {"ref": "gazu468/all-about-bert-you-need-to-know", "kernel_id": "32665951"}, {"ref": "jrreda/disaster-tweets-nlp-using-sklearn-nltk", "kernel_id": "32351156"}, {"ref": "razhadas/nlp-eda-models", "kernel_id": "32310072"}, {"ref": "tmishinev/pre-trained-transformer-embeddings", "kernel_id": "32386896"}, {"ref": "khizarsultan/bert-text-classification-python", "kernel_id": "32785434"}, {"ref": "antoniobrych/the-unreasonable-effectiveness-of-data-na-vebayes", "kernel_id": "32376065"}, {"ref": "vijaydevane/disaster-tweets", "kernel_id": "32665456"}, {"ref": "ayushpatel111/disaster-tweets", "kernel_id": "32942848"}, {"ref": "karineayrapetyants/simple-tutorial-tf-idf-logistic-regression", "kernel_id": "32311079"}, {"ref": "karineayrapetyants/disastertweets-bert", "kernel_id": "32312375"}, {"ref": "johandedeyne123456/bert-for-binary-classification", "kernel_id": "32875424"}, {"ref": "johandedeyne123456/tokenizer-dense", "kernel_id": "32851340"}, {"ref": "patilharss/disaster-tweets-word2vec-tf-idf-81-acc", "kernel_id": "32739169"}, {"ref": "catmalark/compnlp-dl", "kernel_id": "32885946"}, {"ref": "polaternez/disaster-tweets-analysis-lstm", "kernel_id": "32034607"}, {"ref": "asimple/top-transformer-train-inference-clf-tweets", "kernel_id": "32981935"}, {"ref": "asimple/basic-ml-pipeline-clf-tweets", "kernel_id": "32981014"}, {"ref": "davidjohnmillard/csci-335-hw4-davidmillard", "kernel_id": "32100290"}, {"ref": "abdullahmahmod/predict-disaster-tweets-with-machine-learning", "kernel_id": "32099936"}, {"ref": "urkchar/determine-if-tweet-is-about-disaster", "kernel_id": "32223391"}, {"ref": "mustafamu/transfer-learning-nlp-disaster-tweets", "kernel_id": "32172466"}, {"ref": "luckychitundu/nlp-for-disaster", "kernel_id": "32955747"}, {"ref": "hiteshsuthar101/tweets-eda-preprocessing-modeling", "kernel_id": "32557738"}, {"ref": "leoth9/get-started-sentiment-analysis-with-transformers", "kernel_id": "32867974"}, {"ref": "johnnytay/nlp-twitter-using-lr", "kernel_id": "32162098"}, {"ref": "ahmetsaitkkinci/lstm-naive-bayes-gru-pre-trained-model", "kernel_id": "32415030"}, {"ref": "debanjanmani/q3-disaster-tweets-word2vec-tf-idf-81-acc", "kernel_id": "32846791"}, {"ref": "rohankaran/disaster-tweet-identification", "kernel_id": "32010301"}, {"ref": "ohba0321/nlp-with-disaster-tweets-naive-bayes", "kernel_id": "32220144"}, {"ref": "olgaianina/disastertweets-with-tfidf-sgd-classifier", "kernel_id": "32696365"}, {"ref": "pawankumargunjan/natural-language-processing-with-disaster-tweets", "kernel_id": "32218778"}, {"ref": "guojie89/acada6-boon-tee-koay-guo-jie-liu-kalfian-jo", "kernel_id": "32023312"}, {"ref": "michaelgartsbein/auto-data-cleanup-huggingface-transformers", "kernel_id": "32393789"}, {"ref": "peterkurkin/peter-kurkin", "kernel_id": "32828067"}, {"ref": "timurrashitov/bert-transfer-learning-sentiment-analysis", "kernel_id": "32297768"}, {"ref": "timurrashitov/bi-lstm-with-fastext-embeddings-0-81-f1-score", "kernel_id": "32286633"}, {"ref": "emilymsung/step-by-step-nlp-with-disaster-tweets", "kernel_id": "32683606"}, {"ref": "hridaym25/clustering-labels-idea", "kernel_id": "32392591"}, {"ref": "martez1999/siamesenet-training", "kernel_id": "32775075"}, {"ref": "shamikrana/nlp-with-disaster-tweets-using-bert", "kernel_id": "32117856"}, {"ref": "masayaeki/lstm-in-ja", "kernel_id": "32179423"}, {"ref": "ahmeturunveren/nlpforbegin", "kernel_id": "32239837"}, {"ref": "mdtanvitabsheem/ba-bm63015-twitter-disaster", "kernel_id": "32938832"}, {"ref": "chingkang/acada6-joan-jinjun-chingkang", "kernel_id": "32018887"}, {"ref": "belligraf/natural-language-processing-with-disaster-tweets", "kernel_id": "32601438"}, {"ref": "abhishekcrdsa7ds/the-unreasonable-effectiveness-of-data-na-vebayes", "kernel_id": "32714950"}, {"ref": "takatori/basic-eda-cleaning-and-glove", "kernel_id": "32090077"}, {"ref": "demetayazgun/measuring-the-accuracy-of-tweets-with-lr", "kernel_id": "32879133"}, {"ref": "alirezasepidbar/rnn-nlp-competition", "kernel_id": "32639466"}, {"ref": "adityamangal410/hugging-face-models", "kernel_id": "33363026"}, {"ref": "adityamangal410/standard-ml-algos", "kernel_id": "33361652"}, {"ref": "adityamangal410/hugging-face", "kernel_id": "33361873"}, {"ref": "kathiravan/tweets-disaster", "kernel_id": "33127857"}, {"ref": "ankitajaiwar/nlp-classify-disaster-tweets", "kernel_id": "33944637"}, {"ref": "rowanlaw/nlp-disaster-tweets-hugging-face", "kernel_id": "33336992"}, {"ref": "parncheung/disaster-tweets-prediction-using-tensorflow", "kernel_id": "33910502"}, {"ref": "mscgeorges/disaster-tweets-word-embeddings", "kernel_id": "33119335"}, {"ref": "takamichitoda/disaster-tweets-meta-pseudo-labeling", "kernel_id": "33900818"}, {"ref": "takamichitoda/disaster-tweets-mlm", "kernel_id": "33873662"}, {"ref": "takamichitoda/disaster-tweets-pseudo", "kernel_id": "33866055"}, {"ref": "takamichitoda/disaster-tweets-small-data", "kernel_id": "33859407"}, {"ref": "awgross/twitter-disaster-tweets", "kernel_id": "33852404"}, {"ref": "mjulianimsj75/disaster-tweet-v2", "kernel_id": "33890521"}, {"ref": "shindeshubham85/a-friendly-introduction-to-nlp", "kernel_id": "33923972"}, {"ref": "jrreda/intro-to-transformers", "kernel_id": "33953018"}, {"ref": "harshul23/ml-nn-embed-transformer", "kernel_id": "33372545"}, {"ref": "zeroday343/sentence-transformers-pytorch-text-classification", "kernel_id": "33508041"}, {"ref": "saahilafaq/pipelining-multiple-ml-models-using-gridsearch", "kernel_id": "33806848"}, {"ref": "saahilafaq/attention-bilstm", "kernel_id": "33898380"}, {"ref": "rudolfdebelak/nlp-tweets-draft", "kernel_id": "33880822"}, {"ref": "diegomachado/seqclass-1-simple-nn-0-56", "kernel_id": "33040466"}, {"ref": "diegomachado/seqclass-nn-embed-rnn-lstm-gru-bert-hf", "kernel_id": "33040148"}, {"ref": "diegomachado/seqclass-2-embeddings-0-797", "kernel_id": "33065115"}, {"ref": "diegomachado/seqclass-3-rnn-0-809", "kernel_id": "33131319"}, {"ref": "diegomachado/seqclass-5-mybestsolution-0-843", "kernel_id": "33188768"}, {"ref": "diegomachado/seqclass-4-bert-tensorflow-huggingface-0-824", "kernel_id": "33181519"}, {"ref": "lavagod/disaster-tweets-minimum-code-0-80232", "kernel_id": "33445447"}, {"ref": "christianwittmann/nlp-with-disaster-tweets-baseline", "kernel_id": "33448977"}, {"ref": "christianwittmann/nlp-with-disaster-tweets-january-2023", "kernel_id": "33774291"}, {"ref": "lonnieqin/text-classification-with-distilbert", "kernel_id": "33299704"}, {"ref": "sajalshovon/nlp-with-disaster-tweets", "kernel_id": "33302279"}, {"ref": "piotrjangazda/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "33884530"}, {"ref": "rishabhj28/bert-xgboost-with-detailed-eda", "kernel_id": "33570084"}, {"ref": "abhigyaverma/ml-models-tfidf-bow-autoencoder-models", "kernel_id": "33803640"}, {"ref": "johandedeyne123456/glove-lstm-combined-with-extra-features", "kernel_id": "33725583"}, {"ref": "johandedeyne123456/glove-lstm-v1", "kernel_id": "33717414"}, {"ref": "satishpb/simple-solution-without-using-machine-learning", "kernel_id": "33498374"}, {"ref": "ticitacashubham/nlp-with-disater-tweet-sklearn-pipeline", "kernel_id": "33757773"}, {"ref": "shailx/nlp-with-disaster-tweets", "kernel_id": "33634977"}, {"ref": "natchimuthun/natural-language-processing-disaster-tweets", "kernel_id": "33579621"}, {"ref": "kaushalkrishna2000/nlp-twitter-classification", "kernel_id": "33207026"}, {"ref": "sachink1729/transformers-based-electra-model-0-735-test-acc", "kernel_id": "33666543"}, {"ref": "behroozsohrabi/disaster-tweets-neuralnet-nlp-binary-classifier", "kernel_id": "33962703"}, {"ref": "behroozsohrabi/disaster-tweets-decision-tree-nlp-classifier", "kernel_id": "33960883"}, {"ref": "muhammadahmedansari/nlp-glove-bert-tf-idf-lstm-explained", "kernel_id": "33700418"}, {"ref": "muhammadahmedansari/nlp-a-complete-guide-for-starter", "kernel_id": "33700434"}, {"ref": "yuyafujikawa/nlp-disaster-tweets-classification-svc", "kernel_id": "33520758"}, {"ref": "kartikanagawadi/nlp-tweet", "kernel_id": "33789335"}, {"ref": "justininx/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "33729823"}, {"ref": "amish9/nlp-disaster-tweets", "kernel_id": "33286081"}, {"ref": "nadzmiagthomas/pytorch-nlp-bow-tfidf-glove", "kernel_id": "33590027"}, {"ref": "asemmustafa/disaster-tweet-classification-reaching-an-80-suc", "kernel_id": "33841464"}, {"ref": "hsuanyiwu/bert-final", "kernel_id": "33852591"}, {"ref": "masha260787/predicitions-using-tfidf-with-svm-score-0-81024", "kernel_id": "33766593"}, {"ref": "mattkatz/disaster-tweets", "kernel_id": "33906491"}, {"ref": "omololaokebiorun/natural-language-processing", "kernel_id": "33993593"}, {"ref": "theodosiospountridis/nlp-ml", "kernel_id": "33319943"}, {"ref": "tonychuang/tweet-for-disaster-inference", "kernel_id": "33741709"}, {"ref": "rab5786/step-by-step-nlp-with-disaster-tweets", "kernel_id": "33250779"}, {"ref": "georgyvladimirskiy/bert-catboost", "kernel_id": "33692978"}, {"ref": "famapa/predicting-disaster-nlp-with-tweets", "kernel_id": "33780558"}, {"ref": "ludwigsaux/disaster-tweets-nlp-using-sklearn-nltk-3433e9", "kernel_id": "33539589"}, {"ref": "kreeshrajani/nlp-disaster-tweets-bi-lstm-attention", "kernel_id": "33946024"}, {"ref": "danielalves123/lesson-4-fastai", "kernel_id": "33212227"}, {"ref": "sanandachowdhury/disaster-tweets", "kernel_id": "33166856"}, {"ref": "sfurkan20/natural-language-processing-with-disaster-tweets", "kernel_id": "33230424"}, {"ref": "alexandrelangds/distilbert-nlp-classification", "kernel_id": "33000121"}, {"ref": "jiyasahni/notebooked041d821b", "kernel_id": "33457318"}, {"ref": "manarelhadad/pre-entrained-model-manar-1910", "kernel_id": "33285866"}, {"ref": "abrorshopulatov/iterate-like-an-expert", "kernel_id": "33511417"}, {"ref": "thedesijuggad/nlp-disaster-tweets", "kernel_id": "33900875"}, {"ref": "nmbailey/simple-keras-tf-idf-logreg-nn", "kernel_id": "33533104"}, {"ref": "nmbailey/disaster-tweets-distilbert", "kernel_id": "33557280"}, {"ref": "sidiest/disaster-tweet-prediction-using-xgboost-model", "kernel_id": "33327624"}, {"ref": "sagar2168616/nlp-with-disaster-tweets-sentiment-analysis", "kernel_id": "33633287"}, {"ref": "catherinerasgaitis/disaster-tweets-predictions", "kernel_id": "33415836"}, {"ref": "riddhimanghatak/disaster-tweet-classification", "kernel_id": "33733053"}, {"ref": "badice/text-classification", "kernel_id": "33699630"}, {"ref": "azhardzkawan/fork-of-notebook6137ebc57e", "kernel_id": "33949622"}, {"ref": "johnybhiduri/disaster-tweets-classifier-svm", "kernel_id": "33560228"}, {"ref": "johnybhiduri/disaster-tweets-prediction-using-tensorflow", "kernel_id": "33557825"}, {"ref": "upendragosavi/disastertweets", "kernel_id": "33835800"}, {"ref": "ridheshgoti/natural-disaster-prediction-of-tweets", "kernel_id": "33587375"}, {"ref": "mahalakshmi2003/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "33921000"}, {"ref": "blakechiu/disastertweets-classification", "kernel_id": "33043261"}, {"ref": "kokousitsope/pre-entrained-model-nnlm-en-dim50", "kernel_id": "33249426"}, {"ref": "kokousitsope/disasters-tweet-competition", "kernel_id": "33158318"}, {"ref": "sanjanasatish68l/model-with-k-fold-cross-validation-and-analysis", "kernel_id": "33209421"}, {"ref": "aysenurayvaz/nlp-with-simple-keras", "kernel_id": "33554060"}, {"ref": "aysenurayvaz/data-processing-gradient-boosting-algorithms", "kernel_id": "33847669"}, {"ref": "iamnotashutosh/nlp-disaster-ann-tf", "kernel_id": "33629302"}, {"ref": "alawdisoft/disaster-tweets-simple-rnn-implementation", "kernel_id": "33915263"}, {"ref": "harrykr/nlp-tweet-disaster-using-tfidf", "kernel_id": "33322683"}, {"ref": "pedroblss/tweet-disaster-pred-huggingfacetfbert", "kernel_id": "33502539"}, {"ref": "dettaup/nlp-disaster-tweets", "kernel_id": "33392409"}, {"ref": "jordanhoskins/disaster-or-hyperbole", "kernel_id": "34499756"}, {"ref": "dpaul93/gpt-2-and-bert-for-irse-with-huggingface", "kernel_id": "34038479"}, {"ref": "shashaalam/natural-language-processing-disaster-tweets-fa", "kernel_id": "34576803"}, {"ref": "maddy392/universal-sentence-encoder", "kernel_id": "34535181"}, {"ref": "akkefa/eda-nlp-with-disaster-tweets", "kernel_id": "34335156"}, {"ref": "akkefa/fine-tuning-distilbert-nlp-with-disaster-tweet", "kernel_id": "34380178"}, {"ref": "vkoriukina/disaster-tweets-pytorch-bert-best-score-0-83971", "kernel_id": "34981627"}, {"ref": "ryzhokhina/natural-language-processing-with-disaster-tweets", "kernel_id": "34330761"}, {"ref": "ksarvakar/tokenization-in-nlp-introduction", "kernel_id": "34286029"}, {"ref": "devang007/80-accuracy-with-gbdt-and-naive-bayes-disastertw", "kernel_id": "34846287"}, {"ref": "tgubbe3/prediction-models-for-disaster-tweets", "kernel_id": "34817961"}, {"ref": "spanchen/nlp-getting-started-tutorial", "kernel_id": "34058590"}, {"ref": "leoartaza/0-80631-using-only-scikit-learn-scikit-optimize", "kernel_id": "34390968"}, {"ref": "shubhams652/disaster-classification", "kernel_id": "34827746"}, {"ref": "christianwittmann/nlp-with-disaster-tweets-january-2023-v2", "kernel_id": "34286455"}, {"ref": "rajatnagpal/attempt-1", "kernel_id": "34254199"}, {"ref": "hassangul/tweets-about-disaster", "kernel_id": "34333751"}, {"ref": "ivootero/nlp-for-disaster-tweets-ivo-otero", "kernel_id": "34878923"}, {"ref": "emranaljawarneh/nlp-with-disaster-tweets-using-lstm-model", "kernel_id": "34883786"}, {"ref": "mshaldzhiyan/top-100-distilbert-k-fold-ensemble", "kernel_id": "34401559"}, {"ref": "mshaldzhiyan/disaster-tweets-top-14-in-2-minutes", "kernel_id": "34339082"}, {"ref": "omaryassersalaheldin/disaster-prediction-from-tweets-naive-bayes", "kernel_id": "34623678"}, {"ref": "jayasreekandregula/solution-with-nlp-basics", "kernel_id": "34625225"}, {"ref": "bilalafzal255/disaster-tweets-classification-using-transformers", "kernel_id": "34602528"}, {"ref": "divyanshpandey101/nlp-disaster-prediction-with-tweets", "kernel_id": "34965520"}, {"ref": "shadowhat/exercise-tweet-disaster-classification", "kernel_id": "34006725"}, {"ref": "nadzmiagthomas/distilbert-fine-tuning", "kernel_id": "34740280"}, {"ref": "drsdeepalakshmi/nlp-pipeline", "kernel_id": "34316575"}, {"ref": "theprasenjeet/nlp-eda-bag-of-words-tf-idf-glove-bert", "kernel_id": "34907593"}, {"ref": "maheshnanavare/nlp-of-tweets-gridsearchcv-and-ml-pipeline", "kernel_id": "34949987"}, {"ref": "swathipriyachoppala/submissions-hawks", "kernel_id": "34246873"}, {"ref": "sadoubarry1/nlp-deasaster", "kernel_id": "34247379"}, {"ref": "shivam2111/nlp-lstm-attention", "kernel_id": "34194112"}, {"ref": "thuylinh225/disaster-tweets-classification-using-lstm-gru", "kernel_id": "34811320"}, {"ref": "zoyaansari/nlp-ml", "kernel_id": "34886071"}, {"ref": "zhuyuqiang/roberta-for-classification", "kernel_id": "34088008"}, {"ref": "zhuyuqiang/logisticclassifier-outperforms-transformer", "kernel_id": "34080744"}, {"ref": "baotranng/disaster-tweets-eda-logistic-regression", "kernel_id": "34676753"}, {"ref": "alioraji/disaster-tweets-classification-na-ve-bayes", "kernel_id": "34196097"}, {"ref": "oenvespa/nlp-of-disaster-tweets", "kernel_id": "34189763"}, {"ref": "sjmnkaggle/sa-nlp", "kernel_id": "34899314"}, {"ref": "majinx/nlp-eda-tfidf-wordcloud-lemmatization", "kernel_id": "34258681"}, {"ref": "abdelghaniaaba/nlp-disaster-tweets", "kernel_id": "34815046"}, {"ref": "tushirsahu/nlp-disaster-tweets-for-complete-beginner", "kernel_id": "34806822"}, {"ref": "syedaawaizashraf/text-classification-using-hugging-face", "kernel_id": "34612308"}, {"ref": "parvishkakarapalli/nlp-disastor-tweets", "kernel_id": "34240352"}, {"ref": "zakriasaad1/nlp-pre-processing-ml-and-hyper-parameter-tuning", "kernel_id": "34006353"}, {"ref": "rohan8771/tf-idf-glove-lstm-concise-explanations-0-807", "kernel_id": "34113381"}, {"ref": "rodsonzepekinio/notebookfd1fb2a17f", "kernel_id": "34288732"}, {"ref": "aletbm/nlp-with-disaster-tweets", "kernel_id": "34129825"}, {"ref": "sameremadhrab/nlp-sentiment", "kernel_id": "34623297"}, {"ref": "suruthi41/spam-classifier-using-tf-idf", "kernel_id": "34822813"}, {"ref": "ali1510/disasters-tweets-classification-using-bert", "kernel_id": "34876127"}, {"ref": "yuvarajharish/disaster-tweets-49-nlp", "kernel_id": "34838104"}, {"ref": "swethajenifers/fork-of-225229142-nlp-cia1", "kernel_id": "34823472"}, {"ref": "yogeshwarig/disaster-tweets-48", "kernel_id": "34825324"}, {"ref": "yogeshwarig/tweets-of-disaster-nlp-12", "kernel_id": "34825665"}, {"ref": "harishsekar12/nlp-disaster-tweets-12", "kernel_id": "34825851"}, {"ref": "viti16/notebook62a077146a", "kernel_id": "34560333"}, {"ref": "mihasoarajoelisolo/traitement-text", "kernel_id": "34288737"}, {"ref": "sohayldhibi/disaster-tweets-with-lstm-gru-and-bert", "kernel_id": "34744142"}, {"ref": "jakubwalczykowski/disaster-tweets", "kernel_id": "34920439"}, {"ref": "suryatejamacharla/tweet-dataset-nlp", "kernel_id": "34611458"}, {"ref": "suryatejamacharla/twitter-tweets-nlp-gloves", "kernel_id": "34766543"}, {"ref": "muaadhsh/nlp-for-disaster-tweets", "kernel_id": "34750530"}, {"ref": "faptimus420/twitter-disasters-nlp-with-multi-input-network", "kernel_id": "34021904"}, {"ref": "teerthpatel1701/tweet-disaster-competition", "kernel_id": "34587084"}, {"ref": "iamnotashutosh/lstm-with-bert-embeddings", "kernel_id": "34043664"}, {"ref": "shubhamchandrakar17/disaster-prediction-using-tweets-basic-nlp", "kernel_id": "34288151"}, {"ref": "esraagabr/using-lstm-and-svm", "kernel_id": "34419026"}, {"ref": "sovietbeast/notebookfb37a2c277", "kernel_id": "34240541"}, {"ref": "mastersniffer/nlp-classification-with-optuna-stacking", "kernel_id": "34074022"}, {"ref": "lidada990112/nlp-a-gentle-introduction-lstm-word2vec-bert", "kernel_id": "34578063"}, {"ref": "rushiwickramasooriya/disaster-tweets", "kernel_id": "34624450"}, {"ref": "newlinblessy/nlp-with-disaster-tweets-22", "kernel_id": "34824861"}, {"ref": "suyogubhare/natural-language-processing-with-disaster-tweets", "kernel_id": "34646145"}, {"ref": "thibault1024/tweet-disaster-discovery", "kernel_id": "34243479"}, {"ref": "sadeesha/newcode1", "kernel_id": "34624469"}, {"ref": "ulindulalanka/notebook331b3eb490", "kernel_id": "34636444"}, {"ref": "danofer/setfit-tweets", "kernel_id": "35972396"}, {"ref": "ayandasisi/transfer-learning", "kernel_id": "35136769"}, {"ref": "akkefa/fine-tuning-distilbert-nlp-with-disaster-tweets", "kernel_id": "35511956"}, {"ref": "shreyasm/disaster-classification-acm-data", "kernel_id": "35151251"}, {"ref": "mahluo/tf-keras-test-bi-lstm-gru", "kernel_id": "35829633"}, {"ref": "jarmos/getting-started-with-kaggle-nlp-project", "kernel_id": "35643532"}, {"ref": "vkoriukina/preprocessing-distilbert-fine-tuning", "kernel_id": "35045444"}, {"ref": "annazhengzhu/distilbert-and-tensorflow-81-accuracy", "kernel_id": "35043159"}, {"ref": "efrainp23/tensorflow-transfer-learning-81-50-accuracy", "kernel_id": "35056963"}, {"ref": "ved1104/natural-language-processing-with-disaster-tweets", "kernel_id": "35784840"}, {"ref": "ndeperrois/pytorch-roberta-tweet-classification", "kernel_id": "35399634"}, {"ref": "nukalavijaya/disaster-tweets-eda-text-preprocessing-models", "kernel_id": "35320175"}, {"ref": "refat094/nlp-with-disaster-tweets-stack-model", "kernel_id": "35005633"}, {"ref": "refat094/nlp-with-disaster-tweets-nn-solution-2", "kernel_id": "35122455"}, {"ref": "validmodel/two-approach-detecting-disaster-from-tweets", "kernel_id": "35878000"}, {"ref": "mikeliux/disaster-tweet-classificator-based-on-lstm-or-gru", "kernel_id": "35920506"}, {"ref": "dani19engineer/uas-kb-danihamdani-ok", "kernel_id": "35213018"}, {"ref": "khizarsultan/nlp-course", "kernel_id": "35527817"}, {"ref": "alenuska199/fasttext-classification", "kernel_id": "35570247"}, {"ref": "aonzahaha/nlp-with-disaster-tweets-keras-bert-lstm", "kernel_id": "35103063"}, {"ref": "lumierebatalong/ml-nlp-disaster-tweets", "kernel_id": "35311367"}, {"ref": "simonftwi/notebook5e9879f827", "kernel_id": "35355018"}, {"ref": "charunumesh/nlp-disaster-tweets-lstm-transformers", "kernel_id": "35159912"}, {"ref": "ishraqahmed/bow-assignment-4-nlp-on-disaster-tweets", "kernel_id": "35710292"}, {"ref": "ishraqahmed/lstm-assignment-4-nlp-on-disaster-tweets", "kernel_id": "35783445"}, {"ref": "ishraqahmed/gru-assignment-4-nlp-on-disaster", "kernel_id": "35785561"}, {"ref": "mikhaildonskoy/simple-pipeline-with-stong-model", "kernel_id": "35162499"}, {"ref": "aanyaraj/detecting-disasters-on-twitter-a-nlp-approach", "kernel_id": "35918533"}, {"ref": "tracyporter/identify-the-disaster-keras-tf", "kernel_id": "35808700"}, {"ref": "cyrillescolano/nlp-disaster-tweet-classification", "kernel_id": "35728792"}, {"ref": "shriyutha/nlp-disaster-tweets-lstm-gru", "kernel_id": "35154025"}, {"ref": "salmarn/disaster-tweet-with-nlp-top-1-pad-vs-tf-idv", "kernel_id": "35796105"}, {"ref": "megalino111/nlp-first-competition", "kernel_id": "35184370"}, {"ref": "mohamedbakrey/simple-manipulation-tools-in-nlp", "kernel_id": "35908141"}, {"ref": "olemagnushiback/sentiment-analysis", "kernel_id": "35402362"}, {"ref": "pavlyremon/nlp-with-disaster-tweets", "kernel_id": "35877981"}, {"ref": "divyanshpandey101/bert-classifier", "kernel_id": "35835965"}, {"ref": "davidjenkins13/a-study-in-natural-language-processing", "kernel_id": "35379784"}, {"ref": "pranavmanoj/disaster-tweets-prediction", "kernel_id": "35770561"}, {"ref": "shashankgupta02/shashank-gupta", "kernel_id": "35420009"}, {"ref": "ishaparanjpe/sentiment-analysis-disaster-recognition-twitter", "kernel_id": "35576030"}, {"ref": "sandragracenelson/disaster-tweets-prediction", "kernel_id": "35397306"}, {"ref": "chongzhenjie/disaster-tweets-basic-network-embeddings-bert", "kernel_id": "35456712"}, {"ref": "midhundasl/disaster-tweets-prediction-using-nlp", "kernel_id": "35705336"}, {"ref": "midhundasl/disaster-tweet-prediction-nlp", "kernel_id": "35705347"}, {"ref": "qiyin4703/get-started-1", "kernel_id": "35426060"}, {"ref": "preethipara/disaster-tweets-classification-nlp", "kernel_id": "35650894"}, {"ref": "abhishekrp1517/disaster-tweet-classification-using-nlp", "kernel_id": "35634226"}, {"ref": "serkanp/nlp-with-disaster-tweets-model-prediction", "kernel_id": "35473259"}, {"ref": "hebaatef/tweets-disaster-prediction-nlp", "kernel_id": "35977160"}, {"ref": "lizhecheng/bert-based-nlp-classification", "kernel_id": "35792721"}, {"ref": "lizhecheng/simple-nlp-xgb", "kernel_id": "35203647"}, {"ref": "tobiaslinke/notebook9317dd005f", "kernel_id": "35773602"}, {"ref": "altequal/bert-large-uncased-fake-news-comments-emotion", "kernel_id": "35094129"}, {"ref": "shubhamwani22/nlp-disaster-tweets", "kernel_id": "35645448"}, {"ref": "rudyrdx12/for-aditi", "kernel_id": "35506636"}, {"ref": "adityarahul/disaster-tweets-prediction-using-nlp", "kernel_id": "35684611"}, {"ref": "rospel/a-comparison-of-logistic-regression-and-naive-baye", "kernel_id": "35613610"}, {"ref": "tianyimasf/real-disaster-tweets-prediction-with-transformer", "kernel_id": "35668506"}, {"ref": "pranavchandrode/note-1-nlp-tweet-disaster", "kernel_id": "35042833"}, {"ref": "joewraga/disaster-tweets-first-attempt", "kernel_id": "35719718"}, {"ref": "lorbybi/nlp-disaster-tweets", "kernel_id": "35176022"}, {"ref": "ahmadalijamali/analysis-and-deep-nn-for-disastertweets", "kernel_id": "35578527"}, {"ref": "chanmuzi/disaster-tweets-with-bert-for-newbie", "kernel_id": "35576691"}, {"ref": "karnangopalakrishnan/notebook9bf41836de", "kernel_id": "35565326"}, {"ref": "lucaskrawctschuk/nlp-with-disaster-tweets-using-distilbert", "kernel_id": "35083078"}, {"ref": "jakubwalczykowski/compleate-disaster-lstm-gru-cnn-3", "kernel_id": "35065431"}, {"ref": "barborakudlov/nlp-disastertweets-bilstm-svm-rec-0-97", "kernel_id": "35270177"}, {"ref": "chli3841/nlp-w-disaster-tweets-lstm", "kernel_id": "35219313"}, {"ref": "investor55/nlp-disaster-tweets", "kernel_id": "35378947"}, {"ref": "faeghehghofrani/simple-cleaning-no-eda-ridge-classifier", "kernel_id": "35007538"}, {"ref": "raghavgovindjha/nlptweetanalysis", "kernel_id": "35764315"}, {"ref": "alleenlee/notebook9bf41836de", "kernel_id": "35730270"}, {"ref": "huthayfahodeb/nlp-with-disaster-tweets-prediction", "kernel_id": "35670705"}, {"ref": "nataljakorabljova/notebook3fd88ace1a", "kernel_id": "35976690"}, {"ref": "rishirajacharya/nlp-getting-started-tutorial", "kernel_id": "36994788"}, {"ref": "qumeric/nlp-with-disaster-tweets-basic-data-cleaning", "kernel_id": "36147458"}, {"ref": "ardakshalkarbayuli/notebook35b7b21585", "kernel_id": "36828247"}, {"ref": "amineteffal/helloworld-disaster", "kernel_id": "36155281"}, {"ref": "aadishchopra/predictingdisastertweets", "kernel_id": "36602440"}, {"ref": "zuhaalfaraj/nlp-with-disaster-tweets-xlm-roberta-vs-bert", "kernel_id": "36152024"}, {"ref": "siddharthkumarsah/nlp-with-disaster-tweets-solution", "kernel_id": "36491810"}, {"ref": "sandipanumbc/disaster-tweet-classification-with-bilstm-bert-use", "kernel_id": "36563383"}, {"ref": "suyashkhare/pos-tags-countvectorizer", "kernel_id": "36490605"}, {"ref": "hardikr23/basic-to-advance-nlp-techniques-and-bert", "kernel_id": "36316334"}, {"ref": "parisammm/glove-bilstm-self-attention", "kernel_id": "36941744"}, {"ref": "taranmarley/distilbert-and-eda-tutorial", "kernel_id": "36528192"}, {"ref": "dongkeunbak/pyspark-beginner-bert-with-pytorch", "kernel_id": "36269129"}, {"ref": "duongducnguyen/tweeter-disaster", "kernel_id": "36024138"}, {"ref": "ahmedsooft/dl-task4-part2-lstm-nlp-on-disaster-tweets", "kernel_id": "36081773"}, {"ref": "ahmedsooft/dl-task4-part1-bow-nlp-on-disaster-tweets", "kernel_id": "36082203"}, {"ref": "ahmedsooft/dl-task4-part3-gru-nlp-on-disaster", "kernel_id": "36081952"}, {"ref": "tracyporter/disaster-tweets-tf-rnn", "kernel_id": "36617606"}, {"ref": "tracyporter/disaster-tweets-tf-vectorizer", "kernel_id": "36553759"}, {"ref": "kimmik123/text-classification-pytorch", "kernel_id": "36230949"}, {"ref": "mahmoudeldebase/nlp-twitter", "kernel_id": "36866118"}, {"ref": "noir3747/classification-using-lstm", "kernel_id": "36663999"}, {"ref": "mosobhy/disaster-tweets", "kernel_id": "36978023"}, {"ref": "monikakusumanchi/lstm-on-disaster-tweet", "kernel_id": "36411338"}, {"ref": "pranyachandratre/disaster-or-not-tweet-classification", "kernel_id": "36602354"}, {"ref": "arnabchaki/predicting-disaster-tweets-using-bert", "kernel_id": "36272703"}, {"ref": "roniavesta/nlp-bert-tensorflow-keras", "kernel_id": "36207716"}, {"ref": "roniavesta/nlp-with-distaster-tweet-roberta-keras", "kernel_id": "36248209"}, {"ref": "roniavesta/nlp-with-disaster-tweet-using-roberta-torch", "kernel_id": "36011805"}, {"ref": "gautamimamidala/disaster-tweets", "kernel_id": "36420758"}, {"ref": "bhuvanagayathri/nlp-with-disaster-tweets", "kernel_id": "36424329"}, {"ref": "kitai11/nlp-disaster-tweets-using-lstm", "kernel_id": "36137753"}, {"ref": "universapphirelotus/clean-data", "kernel_id": "36143022"}, {"ref": "edwardhuangtw/nlp-with-disaster-tweets", "kernel_id": "36161071"}, {"ref": "aellee/cs344-final-model", "kernel_id": "36988311"}, {"ref": "mariajoshernndez/nlp-full-analysis", "kernel_id": "36344668"}, {"ref": "pulakhjain/eda-tweet-classification", "kernel_id": "36790961"}, {"ref": "omrigruman/using-sbert-embeddings-svm", "kernel_id": "36561805"}, {"ref": "mikolajhojda/vectorization-for-beginners-nlp", "kernel_id": "36896339"}, {"ref": "nithiin777/nltk-tweets", "kernel_id": "36413396"}, {"ref": "eyosiasteffera/disaster-tweet-prediction", "kernel_id": "36817971"}, {"ref": "yousifadel/notebook4e3ed6988b", "kernel_id": "36204770"}, {"ref": "anudaattanayake/nlp-disaster-tweets", "kernel_id": "36929756"}, {"ref": "leiwong/disaster-tweets-bert-baseline-beginner-friendly", "kernel_id": "36918634"}, {"ref": "tarang112/notebookfd6936253a", "kernel_id": "36665259"}, {"ref": "nadiaoukrich/step-by-step-explanation-nlp-tweets-disaster", "kernel_id": "36605961"}, {"ref": "nouranhady21/notebook", "kernel_id": "36188280"}, {"ref": "mamado161/first-nlp-project", "kernel_id": "36319561"}, {"ref": "elizathornton/wibd-team-square-roots", "kernel_id": "36452819"}, {"ref": "alexandershumilin/keras-bert-classification", "kernel_id": "36119288"}, {"ref": "adimulamshashank/natural-language-processing-with-disaster-tweets", "kernel_id": "36397638"}, {"ref": "tinfufans/notebookd325c6ae14", "kernel_id": "36659911"}, {"ref": "maksymkonevych/fine-tune-large-bert-with-pytorch", "kernel_id": "36861354"}, {"ref": "auxeno/transformers-from-scratch-dl", "kernel_id": "36720670"}, {"ref": "omardonia/tweets-disaster-classification", "kernel_id": "36362278"}, {"ref": "tashiget/nlp-disaster-tweet-119", "kernel_id": "36756296"}, {"ref": "ramanjaneyuluc/notebook06709a7cdc", "kernel_id": "36494032"}, {"ref": "pranavchandrode/tweet-disater-gru", "kernel_id": "36070985"}, {"ref": "mob2dr/nlp-on-disaster-tweets", "kernel_id": "36123087"}, {"ref": "yasirakyzl/disastertweetsclassification-lstm-glove-82", "kernel_id": "36509328"}, {"ref": "kondetisandeep/nlp-disaster-tweets", "kernel_id": "36425619"}, {"ref": "smithlai/simple-tweets-classification-with-keras-bert", "kernel_id": "36383861"}, {"ref": "fuzelshaikh/nlp-getting-started-tutorial", "kernel_id": "36276823"}, {"ref": "bennaserabdelmomen/nlp-disaster-tweets", "kernel_id": "36283669"}, {"ref": "bennaserabdelmomen/nlp-tweets-nn", "kernel_id": "36380684"}, {"ref": "faeghehghofrani/effect-of-cleaning-on-accuracy", "kernel_id": "36172731"}, {"ref": "hamsawahed98/row-lstm-gru", "kernel_id": "36120785"}, {"ref": "neupane9sujal/classification-with-eda-acc-0-83", "kernel_id": "36439645"}, {"ref": "avreymiasraf/basic-eda-cleaning-and-glove", "kernel_id": "36185613"}, {"ref": "wepasabyrow/natural-language-processing-with-disaster-tweets", "kernel_id": "36106753"}, {"ref": "jonathanradcliffe/4th-comp-nlp-disaster-tweets", "kernel_id": "36362226"}, {"ref": "d3stron/disaster-prediction-with-spacy-and-lstm", "kernel_id": "36680222"}, {"ref": "kaileighstopa/nlp-using-bert-roberta-and-metadata-model", "kernel_id": "36729863"}, {"ref": "darrenlau1628/nlp-emergency-tweets", "kernel_id": "36530329"}, {"ref": "manojkumarpentapalli/nlp-with-disaster-tweets", "kernel_id": "36406453"}, {"ref": "keithrek/rnn-lstm-disaster-tweets-nlp", "kernel_id": "36141618"}, {"ref": "joanlamprea/nlp-getting-started-tutorial-195e8d", "kernel_id": "36867409"}, {"ref": "butorinvasiliy/notebook-nlp-disaster-tweets-1", "kernel_id": "36586352"}, {"ref": "butorinvasiliy/notebook-1-nlp-disaster-tweets", "kernel_id": "36588104"}, {"ref": "drlexus/lstm-nlp-mk-i-acc-0-77-f1-submission-0-76", "kernel_id": "36014805"}, {"ref": "filipspetuhovs/first-machine-learning-experience", "kernel_id": "36014733"}, {"ref": "anoyan/label-errors", "kernel_id": "36143805"}, {"ref": "ajayrahulprasad/nlp-disaster-tweets-project", "kernel_id": "36392916"}, {"ref": "baireddypranayreddy/nlp-with-disaster-tweets", "kernel_id": "36402795"}, {"ref": "mlab00/notebookdc7a2573e8", "kernel_id": "36586185"}, {"ref": "seancase/finetune-roberta-disaster-class", "kernel_id": "37864700"}, {"ref": "sezan92/notebook963b277c82", "kernel_id": "37000593"}, {"ref": "xobr1995/disastertweets-bert-pytorch", "kernel_id": "37801278"}, {"ref": "priteshpatel25/beginners-nlp-disastertweetss", "kernel_id": "37170013"}, {"ref": "hidetaketakahashi/report-rnn-for-disastertweet", "kernel_id": "37991183"}, {"ref": "akitsuyoshi/transfer-learning-for-nlp", "kernel_id": "37287775"}, {"ref": "moemoemoe/disaster-tweets-minimal-solution", "kernel_id": "37206274"}, {"ref": "mbmmurad/how-does-chatgpt-perform-in-a-kaggle-competition", "kernel_id": "37594323"}, {"ref": "catadanna/gema-m2-nlp-pretraitement", "kernel_id": "37233868"}, {"ref": "lokeshrth4617/nlp-for-tweets-text-classification", "kernel_id": "37155736"}, {"ref": "lokeshrth4617/nlp-getting-started-tutorial", "kernel_id": "37418260"}, {"ref": "gabrielroger/nlp-tweets-disaster-practice", "kernel_id": "37266921"}, {"ref": "esraanafaa/text-classification-for-tweet-disaster-using-bert", "kernel_id": "37832725"}, {"ref": "esraanafaa/disaster-tweet-prediction-with-transfomers", "kernel_id": "37668522"}, {"ref": "esraanafaa/nlp-1", "kernel_id": "37589069"}, {"ref": "pasankavinda/nlp-disaster", "kernel_id": "37654811"}, {"ref": "gauridargar/tweets-disaster-by-gd", "kernel_id": "37287528"}, {"ref": "tracyporter/disaster-tweets-tf-bert", "kernel_id": "37120161"}, {"ref": "aitanamiraescoda/natural-language-processing-with-disaster-tweets", "kernel_id": "37501645"}, {"ref": "shreyashkawalkar/notebook23b5329262", "kernel_id": "37568543"}, {"ref": "oybekeraliev/nlp-friendly-tutorial-for-text-classification", "kernel_id": "37973131"}, {"ref": "bingliangli/debertatrainingandinference-84-7-bingliang-li", "kernel_id": "37575504"}, {"ref": "olemagnushiback/introduction-to-nlp-with-tensorflow-and-spacy", "kernel_id": "37495157"}, {"ref": "danb91/beginner-documented-eda-and-hf-transformer", "kernel_id": "37947911"}, {"ref": "dimm5x/diplom", "kernel_id": "37540290"}, {"ref": "bhuvanagayathri/nlp-with-disaster-tweets-using-logistic-regression", "kernel_id": "37788719"}, {"ref": "durgeshrao9993/nlp-with-tweets-eda-cleaning-bert-model", "kernel_id": "37605770"}, {"ref": "aellee/cs344-final-nb-model", "kernel_id": "37388878"}, {"ref": "aellee/twitter-model-training-script", "kernel_id": "37388884"}, {"ref": "davidbreinl/tweet-prediction-with-huggingface-transformers", "kernel_id": "37226222"}, {"ref": "yullieyang/pytorch-lstm-with-disaster-tweets", "kernel_id": "37995302"}, {"ref": "iniyatj/nlp-basic-tutorial-disaster-tweets-naivebayes", "kernel_id": "37414077"}, {"ref": "adebayoridwan/notebookfa10193df7", "kernel_id": "37360314"}, {"ref": "indraneeldey/disaster-tweets-for-beginners", "kernel_id": "37765050"}, {"ref": "carlososa/supervised-learning", "kernel_id": "37993149"}, {"ref": "eiue6866/notebook4171ef41f9", "kernel_id": "37564632"}, {"ref": "y5cy5c/nlp-with-disaster-tweets", "kernel_id": "37562168"}, {"ref": "parinzee/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "37814007"}, {"ref": "tinfufans/nlpsubmission", "kernel_id": "37911745"}, {"ref": "tinfufans/nlptrain", "kernel_id": "37902381"}, {"ref": "benitodelatorre/nlp-challenge-step-by-step", "kernel_id": "37788949"}, {"ref": "rohan8771/implementing-and-comparing-various-models", "kernel_id": "37131099"}, {"ref": "duanboomer/tweet-sentiment-classification", "kernel_id": "37280020"}, {"ref": "zeeshanahmed3155/nlp-for-beginners-with-spacy-and-tf-idf", "kernel_id": "37382733"}, {"ref": "utkrishtdutta/disaster-pred-with-tensorflow-accuracy-75", "kernel_id": "37996001"}, {"ref": "artemkhadris/nlp-tweets-tensorflow-2-ways", "kernel_id": "37861560"}, {"ref": "ayushishukla12/fake-news-detection-on-twitter-eda", "kernel_id": "37287914"}, {"ref": "fatimameddi/predict-tweets-accuracy-0-95-with-data-augmentati", "kernel_id": "37980028"}, {"ref": "fatimameddi/notebook65f61fdac7", "kernel_id": "37995365"}, {"ref": "hongmingfeng/tweets-disaster-detect", "kernel_id": "37950194"}, {"ref": "rounakkumbhakar/nlp-easy-to-understand-82-4-accuracy", "kernel_id": "37260561"}, {"ref": "unstoppablesk/tweetsdisaster", "kernel_id": "37159182"}, {"ref": "meetkevadiya037/project-2", "kernel_id": "37094773"}, {"ref": "ballcor/npl-disaster-tweets-competition", "kernel_id": "37505705"}, {"ref": "kushanbhagya/nlp-with-disaster-tweets", "kernel_id": "37489748"}, {"ref": "samfouad/natural-language-processing-with-disaster-tweets", "kernel_id": "37431561"}, {"ref": "alekhya14/nlp-with-fastai", "kernel_id": "38898646"}, {"ref": "xiefei/nlp-glove-bert-tf-idf-lstm-explained", "kernel_id": "38518300"}, {"ref": "xpehutta/sklearn-and-nltk-packages", "kernel_id": "38635949"}, {"ref": "bhupendrathore/disater-tweets", "kernel_id": "38940758"}, {"ref": "dilthoms/beginner-hugging-face-tutorial-using-more-options", "kernel_id": "38699307"}, {"ref": "dilthoms/beginner-code-using-huggingface-default-options", "kernel_id": "38673700"}, {"ref": "vaibhavkumbhar/disaster-tweets", "kernel_id": "38054453"}, {"ref": "catadanna/gema-m2-nlp-tfidfvectorizer", "kernel_id": "38688691"}, {"ref": "catadanna/gema-m2-nlp-countvectorizer", "kernel_id": "38543558"}, {"ref": "babiker/no-training-chat-gpt-prediction", "kernel_id": "38189834"}, {"ref": "clarissacx/disaster-tweets-prediction-bert-keras-0-80score", "kernel_id": "38713319"}, {"ref": "emxheena/disaster-tweets-nlp", "kernel_id": "38615914"}, {"ref": "sandunikah/identifying-disaster-tweets-begin-nlp", "kernel_id": "38334316"}, {"ref": "kaidduongcl/approach-using-randomforestclassifier", "kernel_id": "38778418"}, {"ref": "soupmonster/pytorch-transformer-simple-baseline", "kernel_id": "38516179"}, {"ref": "reesejoie/starter-with-count-vector-naive-bayes-and-lr", "kernel_id": "38030372"}, {"ref": "ar4ikov/disaster-tweets-with-bert-and-no-nlp-cleaning", "kernel_id": "38606264"}, {"ref": "acousticmusic/technical-ass-raise", "kernel_id": "38483982"}, {"ref": "ashishpandey3492/text-classification-with-pytorch", "kernel_id": "38553666"}, {"ref": "archilirobakidze/eda-cleaning-dnn-with-distilbert-embeddings", "kernel_id": "38481640"}, {"ref": "sanjibansantra/disastertweet", "kernel_id": "38964269"}, {"ref": "tinhtran2k/nlp-beginer", "kernel_id": "38459966"}, {"ref": "mehaksingal/twitter-sentiment-analysis-using-tensorflow", "kernel_id": "38772825"}, {"ref": "gunnusravani/natural-language-processing-nlp-for-beginners", "kernel_id": "38515503"}, {"ref": "suzzystranger/disaster-tweets-pt1-multinomialnb", "kernel_id": "38949847"}, {"ref": "suzzystranger/disaster-tweets-pt3-eda-n-gram-tf-idf", "kernel_id": "38992163"}, {"ref": "suzzystranger/disaster-tweets-pt2-ensemble-probabilistic-models", "kernel_id": "38990900"}, {"ref": "lclthnh/19120534-19120562-19120548", "kernel_id": "38287696"}, {"ref": "abbassiddiqui1/natural-language-processing-with-disaster-tweets", "kernel_id": "38579971"}, {"ref": "ardawrld/metin-s-n-fland-rma-pytorch", "kernel_id": "38952036"}, {"ref": "seuwenfei/identification-of-disaster-related-tweets-nlp", "kernel_id": "38104176"}, {"ref": "memoonazafar461/nlp-glove-bert-tf-idf-lstm-explained", "kernel_id": "38953614"}, {"ref": "sabahesaraki/nlp-disaster-tweets-challenge", "kernel_id": "38414641"}, {"ref": "sabahesaraki/natural-language-processing-with-disaster-tweets", "kernel_id": "38371626"}, {"ref": "josuehuaman/nat-language-pr-with-disaster-tweets-solution", "kernel_id": "38842819"}, {"ref": "shivideveshwar/nlp-with-disaster-tweets-multiple-models", "kernel_id": "38579302"}, {"ref": "yusuphmustaphaladi/gettting-started-with-nlp", "kernel_id": "38072362"}, {"ref": "greyisbetter/nlp-for-dummies-eda-embedding-and-encoder", "kernel_id": "38677816"}, {"ref": "pranavnadimpali/nlp-disaster-tweets-basic-rnn", "kernel_id": "38412760"}, {"ref": "vissapragadasandeep/disaster-tweets", "kernel_id": "38051337"}, {"ref": "tinfufans/tune-the-output-layer-caiyusheng", "kernel_id": "38638652"}, {"ref": "tinfufans/embed-texts-with-bert-caiyusheng", "kernel_id": "38316449"}, {"ref": "tinfufans/softvote-and-submit-caiyusheng", "kernel_id": "38352967"}, {"ref": "kepler296b/nlp-disaster-tweets", "kernel_id": "38147864"}, {"ref": "adityaraj1506/lstm-model-for-text-classification", "kernel_id": "38178657"}, {"ref": "krisztinboros/fine-tuning-bert-with-pytorch-and-polars", "kernel_id": "38334490"}, {"ref": "anushreek15/prediction-of-wild-blueberry", "kernel_id": "38337436"}, {"ref": "shreyas1bm20cs156/nlp-extraction-tokenization-and-vectorization", "kernel_id": "38276635"}, {"ref": "sedatakan/nlp-getting", "kernel_id": "38647930"}, {"ref": "chuanhsinwang/project-word2vec", "kernel_id": "38460421"}, {"ref": "chooyeanchan/natural-language-beginner-230523", "kernel_id": "38910922"}, {"ref": "minalijain/nlp-with-disaster-tweets", "kernel_id": "38734336"}, {"ref": "manassharma6367/natural-language-processing-with-disaster-tweets", "kernel_id": "38777513"}, {"ref": "manassharma6367/natural-language-processing-with-disaster-tweet", "kernel_id": "38809288"}, {"ref": "glunkad/tweet-analysis-with-transformers-deberta", "kernel_id": "38238381"}, {"ref": "vladimirgabaraev/notebooka26e550650", "kernel_id": "38678837"}, {"ref": "anjusukumaran4/natural-language-processing-with-disaster-tweets", "kernel_id": "38497605"}, {"ref": "niralipatel20/lstm-tweet-disaster", "kernel_id": "38021716"}, {"ref": "furduisorinoctavian/nlp-disasters-neural-networks", "kernel_id": "38552296"}, {"ref": "engrzulqarnain/nlp-disaster-tweets-sentiment-analysis-knn-85-a", "kernel_id": "38980773"}, {"ref": "trunghiu211/nlp-with-disaster-tweets", "kernel_id": "38939996"}, {"ref": "sujan0999/explained-nlp-for-disaster-tweets-easy-way", "kernel_id": "38815415"}, {"ref": "sujan0999/nlp-logistic-regression-simple-way", "kernel_id": "38857387"}, {"ref": "xuezeng/disaster-tweets-naive-bayes-baseline", "kernel_id": "38410462"}, {"ref": "xuezeng/disaster-tweets-bert", "kernel_id": "38671086"}, {"ref": "wenqianwang123/bigdata-project", "kernel_id": "38037007"}, {"ref": "cosmocat/notebook99878d00b1", "kernel_id": "38705754"}, {"ref": "nagendrads/disastertweets-nlp-tfidf-ml-lr-svc-nb-knn-xgb-rf", "kernel_id": "38902051"}, {"ref": "abdulrahmanatef/classification-using-sentence-transformer", "kernel_id": "38745114"}, {"ref": "bharathtoutireddy/word2vec-nlp-on-disaster-tweets", "kernel_id": "38476416"}, {"ref": "pi3d1415926535/natural-language-processing-with-disaster-tweets", "kernel_id": "38313095"}, {"ref": "luoying1022/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "38803960"}, {"ref": "ninogogoberishvili/nino-gogoberishvili", "kernel_id": "38768398"}, {"ref": "justinzhang/notebook6d97b5fec8", "kernel_id": "39188577"}, {"ref": "arielbar/nlp-demo", "kernel_id": "39343992"}, {"ref": "bendjedouattia/lstm-conv1d-with-tensorflow", "kernel_id": "39628929"}, {"ref": "bendjedouattia/first-time-using-bert", "kernel_id": "39686558"}, {"ref": "harshavardhanbabu/getting-started-with-huggingface-transformers", "kernel_id": "39180766"}, {"ref": "averma111/pytorch-lstm", "kernel_id": "39850382"}, {"ref": "mcpontiveros/nlp-getting-started-tutorial", "kernel_id": "39293774"}, {"ref": "reesejoie/glove-with-keras-cnn-lstm-0-76-ac", "kernel_id": "39796045"}, {"ref": "tracyporter/disaster-tweets-tf-rnn-1", "kernel_id": "39080051"}, {"ref": "mihirmathur22/predicting-disaster-tweets", "kernel_id": "39606826"}, {"ref": "jacksontangqunyao/disaster-tweet-nlp-prediction", "kernel_id": "39172615"}, {"ref": "evgeniionegin/twitterdisasternlp", "kernel_id": "39936989"}, {"ref": "satzil/disaster-tweets", "kernel_id": "39026086"}, {"ref": "flothedeveloper/nlp-on-disaster-tweets-sentiment-analysis", "kernel_id": "39595269"}, {"ref": "mayyakotyga/complex-eda-and-catboost-optuna", "kernel_id": "39231932"}, {"ref": "suzzystranger/disaster-tweets-part-4-blstm-glove", "kernel_id": "39580265"}, {"ref": "akshinguseinov/nlp-twitter-disaster", "kernel_id": "39052615"}, {"ref": "suraj520/albert-lb-0-8155-know-train-infer", "kernel_id": "39029765"}, {"ref": "payamamanat/tf-idf-countervec-classification-description", "kernel_id": "39055819"}, {"ref": "adiviihanyu/getting-started-with-nlp", "kernel_id": "39884883"}, {"ref": "kalethething/deep-learning-approach-using-pytorch", "kernel_id": "39154335"}, {"ref": "noobhocai/natural-language-processing-with-disaster-tweets", "kernel_id": "39732636"}, {"ref": "hanifalirsyad/keyword-extraction-and-ner-tagging-spacy", "kernel_id": "39922268"}, {"ref": "trangthieu/chancodetaolao", "kernel_id": "39780516"}, {"ref": "hitenmandaliya/nlp-with-disaster-tweets", "kernel_id": "39580639"}, {"ref": "fatmaqazaer/nlp-project-fatmaqazaer", "kernel_id": "39212497"}, {"ref": "joguiguma/tensorflow-ml-nlp-model", "kernel_id": "39933792"}, {"ref": "youssefabdelmottaleb/nlp-disaster-tweets-prediction-ml-dl", "kernel_id": "39107018"}, {"ref": "nickchudo/disaster-tweets-svm", "kernel_id": "39209682"}, {"ref": "ashishjagdishsharma/natural-language-processing-with-disaster-tweets", "kernel_id": "39501725"}, {"ref": "andreaskaufmann/distillbert-tweet-classification", "kernel_id": "39280882"}, {"ref": "anuarrr/disaster-nlp-prediction", "kernel_id": "39534798"}, {"ref": "jessicaval/disaster-tweets-prediction-logreg-embeddings", "kernel_id": "39438252"}, {"ref": "zakharsmirnoff/nlp-for-twitter-disaster-competition", "kernel_id": "39184372"}, {"ref": "divyanshnautiyal/disaster-tweets", "kernel_id": "39818544"}, {"ref": "eduardomarinho44/disaster-tweets-competition", "kernel_id": "39562669"}, {"ref": "quantumkaze/naive-bayes-classification", "kernel_id": "39861222"}, {"ref": "hcmusk20avengers/ptdl-tweet-disaster", "kernel_id": "39124556"}, {"ref": "rimshaovais/natural-language-processing-work-for-ds-project", "kernel_id": "39929627"}, {"ref": "ryuheitakanaka/tkn-nlp", "kernel_id": "39000472"}, {"ref": "ujjwalmalik/disaster-tweet-classification-using-roberta", "kernel_id": "39574215"}, {"ref": "slehal/twitter-project", "kernel_id": "39568942"}, {"ref": "tyam222/notebook6bcc898ce1", "kernel_id": "39485793"}, {"ref": "baonguyengia123/nlp-eda-bag-of-words-tf-idf-glove-bert", "kernel_id": "39162841"}, {"ref": "georgepullen/disaster-tweets-fine-tuning-solution", "kernel_id": "39823766"}, {"ref": "dyogaharshitha/twitter-tweets", "kernel_id": "39263126"}, {"ref": "cthulhucoder/notebook07b5654216", "kernel_id": "39858595"}, {"ref": "thimac/nlp-disaster-tweets-t5", "kernel_id": "40364379"}, {"ref": "mauri870/nlp-with-disaster-tweets", "kernel_id": "40298660"}, {"ref": "pratul007/bert-roberta-lstm-distilbert-cnn-bert-bert-pytorch", "kernel_id": "40315179"}, {"ref": "chuanbin/leggo-rotation-dl", "kernel_id": "40543071"}, {"ref": "chuanbin/leggo-rotation-ml", "kernel_id": "40501336"}, {"ref": "antoniocds/nlp-disaster-tweets-ann", "kernel_id": "40558002"}, {"ref": "tpezzin/disastertweets-exercicio", "kernel_id": "40560173"}, {"ref": "kefahaied/twitter-disaster-gpt2", "kernel_id": "40185648"}, {"ref": "ronfswanson/svc-disastertweets", "kernel_id": "40247248"}, {"ref": "abhishekpsingh/disaster-tweets-roberta", "kernel_id": "40609852"}, {"ref": "tanmaygupta123/nlp-twitter-disaster-using-simple-naive-bayes", "kernel_id": "40391165"}, {"ref": "ivanleomk/kaggle-nlp-approach-to-disaster-tweets", "kernel_id": "40243933"}, {"ref": "anoopjohny/nlp-getting-started", "kernel_id": "40830408"}, {"ref": "thierryneusius/working-with-text-data-with-only-sklearn", "kernel_id": "40803481"}, {"ref": "rustamakimov/bert-nlp-tweets-disaster", "kernel_id": "40994485"}, {"ref": "kevilacezario/tweet-verificacao-nb", "kernel_id": "40657620"}, {"ref": "fengyuansun/feng-nlp-challenge", "kernel_id": "40684500"}, {"ref": "renatostosp/disaster-tweets", "kernel_id": "40070612"}, {"ref": "renatostosp/fork-of-disaster-tweets", "kernel_id": "40525576"}, {"ref": "diogosantana/notebookde3dfc5a71", "kernel_id": "40172495"}, {"ref": "citipop/disastertweet-bilstm", "kernel_id": "40078110"}, {"ref": "krist0phersmith/build-a-custom-rnn-lstm-gru-bidirectional-oh-my", "kernel_id": "40069732"}, {"ref": "ersaaatmeh/natural-language-processing-with-disaster-tweets", "kernel_id": "40935395"}, {"ref": "suraj520/prophetnet-know-train-infer", "kernel_id": "40075546"}, {"ref": "suraj520/distilbert-know-train-infer", "kernel_id": "40203936"}, {"ref": "matheusinaciomatheus/atv4-disaster-tweets", "kernel_id": "40403796"}, {"ref": "andrevitoria/natural-language-processing-with-disaster-tweets", "kernel_id": "40510145"}, {"ref": "abdullahusmani86/disaster-tweets-analysis-beginner-friendly", "kernel_id": "40677285"}, {"ref": "raviiloveyou/distilbert-fine-tune", "kernel_id": "40315250"}, {"ref": "raviiloveyou/notebook46266c13fa", "kernel_id": "40356300"}, {"ref": "sourabhsingh03993493/notebook31873a9881", "kernel_id": "40865853"}, {"ref": "trishanudas/disaster-tweets-with-bert-with-val-accuracy-82", "kernel_id": "40421442"}, {"ref": "sathyanarayanrao89/introduction-to-nlp-using-disaster-tweet-dataset", "kernel_id": "40841544"}, {"ref": "rodrigofardin/nlp-with-disaster-tweet-with-transformer", "kernel_id": "40426770"}, {"ref": "venkatganesh98/disaster-tweets-classification-using-ml", "kernel_id": "40266986"}, {"ref": "takahisaiwaki/natural-language-processing-with-disaster-tweets", "kernel_id": "40783594"}, {"ref": "alinew/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "40643776"}, {"ref": "xeromorphing/notebook89637657cf", "kernel_id": "40838883"}, {"ref": "lucasbadaro/nlp-sub", "kernel_id": "40471985"}, {"ref": "jayantarsode/nlp-disaster-tweet-classification-naive-bayes", "kernel_id": "40713639"}, {"ref": "anindya2306/eda-comparative-studies-on-disaster-tweets", "kernel_id": "40711058"}, {"ref": "jovanchua/natural-disaster-twitter-nlp", "kernel_id": "40578678"}, {"ref": "phanxuanhoai/bert-natural-language", "kernel_id": "40461454"}, {"ref": "jonathanribeirosilva/nlp-disaster-tweet", "kernel_id": "40369163"}, {"ref": "frferreiravix/nlp-with-disaster-tweet-with-transformer", "kernel_id": "40574990"}, {"ref": "julianayuri/nlp-disaster-tweets", "kernel_id": "40402034"}, {"ref": "yousefelbaroudy/nlp-tweet-disaster-detection-ml", "kernel_id": "40806840"}, {"ref": "muhammadumairab/transformers-based-nlp-model", "kernel_id": "40946014"}, {"ref": "fraserwtt/nlp-disaster-tweet-classification", "kernel_id": "40569952"}, {"ref": "mitraghaznavi/basic-bert-nlp", "kernel_id": "40992153"}, {"ref": "ilyaign17/disaster-tweets-start-learning", "kernel_id": "40139809"}, {"ref": "alexkovrigin/notebook3e4ff92147", "kernel_id": "40503925"}, {"ref": "maryamsafiyah/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "40154401"}, {"ref": "abdullah7aled/nlp-w-disaster-tweets", "kernel_id": "40431439"}, {"ref": "abdullah7aled/nlp-w-bert", "kernel_id": "40547238"}, {"ref": "varrvinter/disaster-tweets-prediction", "kernel_id": "40377661"}, {"ref": "pillarammanoj/bert-model-nlp-dl", "kernel_id": "40849327"}, {"ref": "enricopiffer/nlp-with-huggingface", "kernel_id": "40659124"}, {"ref": "minannu/nlp-with-disaster-predicting", "kernel_id": "40121886"}, {"ref": "andreynesterov/disaster-tweets-berts-ensembling", "kernel_id": "40098891"}, {"ref": "abhiramprattipati/disaster-tweets-submission", "kernel_id": "40422332"}, {"ref": "francovivesstone/disaster-tweets-model-prediction-nlp", "kernel_id": "40175992"}, {"ref": "abdul786rasool/notebook8255a87484", "kernel_id": "40356292"}, {"ref": "bbbbbetty/notebookae2620e8c0", "kernel_id": "40554114"}, {"ref": "tbsarcinelli/notebook-thiago-nlp", "kernel_id": "40178159"}, {"ref": "mrinaljaiswal/disaster-tweet-project", "kernel_id": "40063328"}, {"ref": "nataliaxdd/2-natural-language-processing-with-disaster-tweet", "kernel_id": "40208603"}, {"ref": "yupuliu/natural-language-processing-with-disaster-tweets", "kernel_id": "40767142"}, {"ref": "niteshsahu99/urban-security", "kernel_id": "40184869"}, {"ref": "basirshah/basir-nlp", "kernel_id": "40130925"}, {"ref": "itouyoshiki/notebook1", "kernel_id": "40784094"}, {"ref": "nren21/data-science-natural-language", "kernel_id": "40568532"}, {"ref": "thlkaitlyn/nlp-with-disaster-tweets", "kernel_id": "40873771"}, {"ref": "shoaibahmed64922/notebook8bc9abf4da", "kernel_id": "40216587"}, {"ref": "yuitochikakiyo/natural-language-processing-with-disaster-tweets", "kernel_id": "40785254"}, {"ref": "mayunosaijo/notebooksaijo-disastertweets", "kernel_id": "40786224"}, {"ref": "saiharu/disaster-tweets", "kernel_id": "40782182"}, {"ref": "nypython11/natural-language-processing-with-disaster-tweets", "kernel_id": "40784319"}, {"ref": "hayamitihirotaka/disastertweet", "kernel_id": "40613894"}, {"ref": "shintarokomatsu/notebook0a03b1e905", "kernel_id": "40785056"}, {"ref": "nushida/notebookf3aeffac1b", "kernel_id": "40785894"}, {"ref": "akitoshinya/natural-language-processing-with-disaster-tweets", "kernel_id": "40784577"}, {"ref": "c612335021/ds-lastreport", "kernel_id": "40865138"}, {"ref": "matsubarayuki/notebookefaff8b523", "kernel_id": "40785342"}, {"ref": "bbss1818/notebooke1a2e0b7ec", "kernel_id": "40785722"}, {"ref": "c612335042/nlptweet", "kernel_id": "40746645"}, {"ref": "takuk777/notebookde02be5d6d", "kernel_id": "40566972"}, {"ref": "kassy11/gpt2-kashihara", "kernel_id": "40751300"}, {"ref": "alexia/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "41521609"}, {"ref": "dima806/distilbert-disaster-tweets-f1-0-79-at-huggingface", "kernel_id": "41586596"}, {"ref": "stenford23/gzip-classifier-parameter-free-model", "kernel_id": "41045256"}, {"ref": "takamichitoda/disaster-tweets-efficiency", "kernel_id": "41522345"}, {"ref": "franksunp/nlp-beginner-logistic-disaster-tweets-detection", "kernel_id": "41195582"}, {"ref": "franksunp/nlp-beginner-bayes-disaster-tweets-detection", "kernel_id": "41346379"}, {"ref": "akmalmir/embetter-get-started-in-minutes", "kernel_id": "41225441"}, {"ref": "mostafa979/nlp-models-with-sms-messages", "kernel_id": "41945631"}, {"ref": "gdataranger/disaster-tweet-classification-tensorflow", "kernel_id": "41246351"}, {"ref": "mshindoh/nlp-classification-disaster-tweet", "kernel_id": "41679432"}, {"ref": "samanemami/text-network-analysis-visualization", "kernel_id": "41543402"}, {"ref": "rohitdileep/ann-sentiment-analysis", "kernel_id": "41795104"}, {"ref": "leadujic/tweet-v2", "kernel_id": "41105088"}, {"ref": "dmitrybakanov/disaster-tweet-classification", "kernel_id": "41267276"}, {"ref": "habibirani/nlp-with-disaster-tweets", "kernel_id": "41766130"}, {"ref": "nitendradhakad/nlp-with-disaster-tweets-using-bert", "kernel_id": "41001054"}, {"ref": "nitendradhakad/nlp-with-disaster-tweets", "kernel_id": "41001398"}, {"ref": "blakelucey/natural-language-processing-intro", "kernel_id": "41634115"}, {"ref": "j13mehul/bert-fine-tuning-using-peft", "kernel_id": "41851414"}, {"ref": "utkarshtomar736/utkarsh-nlp-disastertweets", "kernel_id": "41728625"}, {"ref": "sanantonik/disaster-tweets-preproc-tf-idf-and-logisticreg", "kernel_id": "41228366"}, {"ref": "girishkalyan/disaster-tweets", "kernel_id": "41201618"}, {"ref": "deepaktripathiuk/eda-data-augment-predict-with-roberta-n-ctf-idf", "kernel_id": "41047219"}, {"ref": "oguzsaglam/twitter-fake-disaster-prediction", "kernel_id": "41199724"}, {"ref": "l048596/disaster-tweets-bert-tensorflow", "kernel_id": "41116478"}, {"ref": "l048596/disaster-tweets-bertweet-tensorflow", "kernel_id": "41440692"}, {"ref": "l048596/disaster-tweets-tensorflow-lstms", "kernel_id": "41434655"}, {"ref": "l048596/sarcasm-bert-tensorflow-79-39", "kernel_id": "41746811"}, {"ref": "l048596/disaster-tweets-distilbert-tf-82-26", "kernel_id": "41978308"}, {"ref": "l048596/disaster-tweets-bertweet-pytorch-i-81-67", "kernel_id": "41869766"}, {"ref": "l048596/disaster-tweets-bertweet-pytorch-ii-82-62", "kernel_id": "41873639"}, {"ref": "svetlanaku/disaster-tweets-sklearn-classification", "kernel_id": "41675758"}, {"ref": "dendyandra/disaster-tweet-classification-with-cnn", "kernel_id": "41143829"}, {"ref": "ayedbochra/nlp-twitter", "kernel_id": "41365198"}, {"ref": "sarashahin/bertnaturallanguageprocessing-with-disastertweets", "kernel_id": "41973974"}, {"ref": "meeraajayakumar/twitter-disaster-tweets-a-sentiment-analysis", "kernel_id": "41269690"}, {"ref": "minamoeini67/disaster-tweet-with-ml-models", "kernel_id": "41629059"}, {"ref": "conradkleykamp/disaster-tweets-classification-nlp-lstm", "kernel_id": "41196695"}, {"ref": "alexcaldarone/twitter-disaster-dataset", "kernel_id": "41007043"}, {"ref": "danielabosch/nlp-disaster-tweets", "kernel_id": "41714747"}, {"ref": "swathiunnikrishnan/tweet-classification-using-nlp", "kernel_id": "41459792"}, {"ref": "manishdit/twitter-disaster-tweets-a-sentiment-analysis", "kernel_id": "41349583"}, {"ref": "satoshishi/datascience-lastreport", "kernel_id": "41350423"}, {"ref": "richardalphonse/nlp-with-the-disaster-tweets", "kernel_id": "41412093"}, {"ref": "geromeandrewducduc/classifying-disaster-tweets-lstm", "kernel_id": "41973638"}, {"ref": "witoldnowogrski/tweets-classification-using-stacking-classifier", "kernel_id": "41922561"}, {"ref": "hamdy17298/your-first-nlp-model-submission", "kernel_id": "41152405"}, {"ref": "hudasaleh1/detect-disaster-tweets-using-bert", "kernel_id": "41560979"}, {"ref": "mohammadzamakhan/nlp-disaster-report", "kernel_id": "41169549"}, {"ref": "anyaborisyuk/bert-distilbert-nlp-base", "kernel_id": "41302838"}, {"ref": "thaddeusthomas/twitter-nlp-submission", "kernel_id": "41712241"}, {"ref": "thaddeusthomas/nlp-competition-submission", "kernel_id": "41543337"}, {"ref": "karthickarun/disaster-tweet-detection", "kernel_id": "41433202"}, {"ref": "cgallegoan/disaster-tweets-cgallegoan", "kernel_id": "41363244"}, {"ref": "programmerrdai/nlp-disaster-tweet-torchtext", "kernel_id": "41522291"}, {"ref": "deveshnegi/simple-nlp-with-disaster-tweets", "kernel_id": "41859111"}, {"ref": "shahidulugvcse/natural-language-processing-nlp-for-beginners", "kernel_id": "41978344"}, {"ref": "takahisaiwaki/natural-language-processing-with-disaster-t-ab488f", "kernel_id": "41059817"}, {"ref": "mufeed20/abb-ec20b1030", "kernel_id": "41475402"}, {"ref": "vaibhavjha49/nlp-disaster-identifier", "kernel_id": "41590330"}, {"ref": "shailjakanttiwari/nlp-with-disaster-tweets-transferlearning", "kernel_id": "41284799"}, {"ref": "yashikapriya/tweet-classification-machine-learning", "kernel_id": "41793947"}, {"ref": "saumil03/nlp-disaster-tweets", "kernel_id": "41206000"}, {"ref": "crownedhead06/disastrous-prediction", "kernel_id": "41363908"}, {"ref": "baorbaor/nlp-with-disaster-tweets", "kernel_id": "41293289"}, {"ref": "fadhilmuh/disaster-tweets-classification-using-bert", "kernel_id": "41183783"}, {"ref": "datawithshaurya/using-sentence-embedding-and-xgboost", "kernel_id": "41347895"}, {"ref": "muhammadumairab/transformers-based-nlp-model-3", "kernel_id": "41067903"}, {"ref": "muhammadumairab/transformers-based-nlp-model-2", "kernel_id": "41059749"}, {"ref": "nanditapore/tweet-disaster-prediction", "kernel_id": "41396086"}, {"ref": "yashsdholam/disaster-nlp-eda-cleaning-vectorization-lstm", "kernel_id": "41666306"}, {"ref": "tianxuegao/nlp-disaster-classification", "kernel_id": "41540933"}, {"ref": "hamzehalshibly/nlp-tweets", "kernel_id": "41816560"}, {"ref": "donottalk/very-simple-and-clean-code-with-f1-above-0-75", "kernel_id": "41901705"}, {"ref": "harshekbote/twitternlp", "kernel_id": "41560002"}, {"ref": "crxxom/nlp-beginner-series-part-2-1-word-embeddings", "kernel_id": "41956217"}, {"ref": "crxxom/nlp-beginner-series-part-3-case-study", "kernel_id": "41956734"}, {"ref": "crxxom/nlp-beginner-series-part-1-nlp-preprocessing", "kernel_id": "41954435"}, {"ref": "crxxom/nlp-beginner-series-part-2-2-embedding-models", "kernel_id": "41956522"}, {"ref": "crxxom/comprehensive-overview-on-nlp-for-beginners", "kernel_id": "41968656"}, {"ref": "shunyaohmoto/notebooka4e6a1199d", "kernel_id": "41056640"}, {"ref": "bhavyasreesunduru/natural-language-processing-with-disaster-tweets", "kernel_id": "41595946"}, {"ref": "wysex7/nlp-disaster-prediction-via-naive-bayes", "kernel_id": "41341881"}, {"ref": "moazeldsokyx/disaster-tweets-classification-nlp", "kernel_id": "41062394"}, {"ref": "ranadanish91/nlp-with-disastertweets-finetune-bert-model", "kernel_id": "41232144"}, {"ref": "harshpriye/disaster-text-analysis", "kernel_id": "41390910"}, {"ref": "derekwonghk/dw-nlp-draft-1", "kernel_id": "41824483"}, {"ref": "abhikalpsrivastava15/simple-kaggle-nlp-with-disaster-tweets", "kernel_id": "41906055"}, {"ref": "murtadhaalmakki/nlp-disaster-prediction-using-svm", "kernel_id": "41988798"}, {"ref": "salazhiev/for-beginners-0-80232", "kernel_id": "41097757"}, {"ref": "maharnabsaikia/natural-language-processing-disaster-tweets", "kernel_id": "41722162"}, {"ref": "seongyeopchoi/tweet-liar", "kernel_id": "41002952"}, {"ref": "nexusplus/nlp-uno", "kernel_id": "41723659"}, {"ref": "ranaimori/datascience-group3-ueke", "kernel_id": "41501666"}, {"ref": "tsuyoshishijiraya/notebook457861bc1f", "kernel_id": "41060570"}, {"ref": "atihsirom/notebookd25aacd8fb", "kernel_id": "41452913"}, {"ref": "nmkojj/notebook8f204c2b2e", "kernel_id": "41486140"}, {"ref": "yelenna23/notebook0d155996b8", "kernel_id": "41061227"}, {"ref": "mishimurausuke/notebooke-2023-5-mishimura", "kernel_id": "41486134"}, {"ref": "likelikecheese/disaster-tweets", "kernel_id": "41224021"}, {"ref": "likelikecheese/disaster-tweets2", "kernel_id": "41411203"}, {"ref": "inouetomoyaka/natural-language-processing-with-disaster-t-2e8e6f", "kernel_id": "41494148"}, {"ref": "yuzukikobayashi/natural-language-processing-with-disaster-t-22cab2", "kernel_id": "41444542"}, {"ref": "okazakitakuya/notebooke1126f6349", "kernel_id": "41490047"}, {"ref": "rikashibahara/notebooka4e6a1199d", "kernel_id": "41061125"}, {"ref": "huuname/notebook13f4df2348", "kernel_id": "41494490"}, {"ref": "huuname/notebookb47f19c1fa", "kernel_id": "41516596"}, {"ref": "minaym/notebook0b233404a9", "kernel_id": "41508902"}, {"ref": "wwwyer/notebooke7657a3e1a", "kernel_id": "41064188"}, {"ref": "inoue6123340375/disaster-tweets-inoue", "kernel_id": "41447171"}, {"ref": "watanabet/natural-language-processing-with-disaster-tweets", "kernel_id": "41060957"}, {"ref": "nakaihiroki3/notebook1f2f8404ec", "kernel_id": "41056507"}, {"ref": "akinonaitoh/notebooke729d09034", "kernel_id": "41295606"}, {"ref": "ky12144869/notebook00df749b69", "kernel_id": "41292856"}, {"ref": "sachinpatil1280/tweets-classification-deep-learning-score-0-7750", "kernel_id": "41624988"}, {"ref": "sachinpatil1280/tweet-classification-machine-learning", "kernel_id": "41580464"}, {"ref": "mutominoru/notebook896bb3ec9a", "kernel_id": "41519373"}, {"ref": "mikaimibs/notebooke1a2e0b7ec-2-335580", "kernel_id": "41481418"}, {"ref": "hayamitihirotaka/disaster-tweet7", "kernel_id": "41385586"}, {"ref": "yutoimagawa/notebook6af12ad07d", "kernel_id": "41531919"}, {"ref": "hatsudanaoki/notebookade0b40b58", "kernel_id": "41445108"}, {"ref": "shintarokomatsu/natural-disaster-ver2", "kernel_id": "41061424"}, {"ref": "mimuratstsuya/notebook150519a09f", "kernel_id": "41523634"}, {"ref": "sasakikeigo/notebook0721sasaki", "kernel_id": "41294249"}, {"ref": "mt1279/notebook836b6fd432", "kernel_id": "41292727"}, {"ref": "akitoshinya/notebooke1a2e0b7ec-2", "kernel_id": "41491599"}, {"ref": "user202207/notebook508f70ccaf", "kernel_id": "41061432"}, {"ref": "sayakatsukasaki/notebooke1a2e0b7ec-2", "kernel_id": "41492688"}, {"ref": "bbss1818/notebooke1a2e0b7ec-2", "kernel_id": "41319275"}, {"ref": "bbss1818/notebooke1a2e0b7ec-4", "kernel_id": "41064301"}, {"ref": "onishihina/fork-of-nlptweet", "kernel_id": "41433560"}, {"ref": "ku2000/natural-language-processing-with-disaster-tweets", "kernel_id": "41293352"}, {"ref": "okanatsu/notebook4da40ea44c", "kernel_id": "41061639"}, {"ref": "sotasakaguchi/natural-language-processing-with-disaster-t-1bc9d8", "kernel_id": "41437927"}, {"ref": "c612334044/ds-lastreport", "kernel_id": "41581923"}, {"ref": "gyoichi422/notebook7f1bbb069d", "kernel_id": "41592892"}, {"ref": "shinyanya/natural-language-processing-with-disaster-t-42c269", "kernel_id": "41518709"}, {"ref": "hirotokomatsubara/disaster-tweet", "kernel_id": "41451640"}, {"ref": "newtokiryu2023/fork-of-nlptweet", "kernel_id": "41517105"}, {"ref": "kamogashirahayato/natural-language-processing-with-disaster-tweets", "kernel_id": "41523811"}, {"ref": "miyatayuna/natural-language-processing-with-disaster-tweets", "kernel_id": "41292885"}, {"ref": "c612335042/fork-of-nlptweet", "kernel_id": "41160582"}, {"ref": "soubekku/notebookd98e33ff3a", "kernel_id": "41632239"}, {"ref": "ryo1012/datascience", "kernel_id": "41054718"}, {"ref": "maronfield/notebook20230728kuri", "kernel_id": "41578579"}, {"ref": "c702331019/natural-language-processing-with-disaster-t-53beec", "kernel_id": "41485294"}, {"ref": "takuk777/notebook1c92d76046", "kernel_id": "41521781"}, {"ref": "takato0220/notebooke1a2e0b7ec-2", "kernel_id": "41492472"}, {"ref": "sssshigeyuki/datascience-habara", "kernel_id": "41293585"}, {"ref": "sssshigeyuki/datascience-habara-submit", "kernel_id": "41524091"}, {"ref": "takamiyudai/notebook-takami", "kernel_id": "41598961"}, {"ref": "hanafusa/notebookec48fc554d", "kernel_id": "41061337"}, {"ref": "kassy11/datascience-team3-kashihara", "kernel_id": "41262047"}, {"ref": "ayushy18/nlp-on-disaster-tweets-using-bert", "kernel_id": "41331064"}, {"ref": "denyskryvytskyi/nlp-with-disaster-tweets-tf-lstm-keras-tuner", "kernel_id": "41791660"}, {"ref": "c612335043/notebook", "kernel_id": "41417676"}, {"ref": "torikull/disasterclassification", "kernel_id": "41516706"}, {"ref": "louiselychau/kerasnlp-disaster-tweets", "kernel_id": "41883104"}, {"ref": "sawadamasaki/notebook0a03b1e905", "kernel_id": "41446739"}, {"ref": "ashutoshdevpura/twitter-nlp-disaster-prediction", "kernel_id": "41651278"}, {"ref": "shaiksanzida/nlp-with-disaster-tweets", "kernel_id": "41602301"}, {"ref": "feitianxiaoliuma/notebook-nlp-for-lstm", "kernel_id": "41656748"}, {"ref": "nuwanbat/tweets-classification", "kernel_id": "41799210"}, {"ref": "twinpilgrim/disaster-tweets-hugging-face", "kernel_id": "42574391"}, {"ref": "twinpilgrim/disaster-tweets-bert-model", "kernel_id": "42658670"}, {"ref": "aslan1908/disaster-tweets-with-gpt2", "kernel_id": "42044521"}, {"ref": "peterpetrov826/transformers-distilbert", "kernel_id": "42712289"}, {"ref": "ved1104/text-classification-using-lstm", "kernel_id": "42379455"}, {"ref": "stpeteishii/nlp-disaster-tweets-torch-roberta", "kernel_id": "42450118"}, {"ref": "gdataranger/disaster-tweet-classifications-hugginface", "kernel_id": "42012262"}, {"ref": "rinisett/disaster-tweet-glove-ohe-lstm", "kernel_id": "42916148"}, {"ref": "kdecision/nlp-simple-classifier", "kernel_id": "42932917"}, {"ref": "xiu0714/twitter-disaster-weekly", "kernel_id": "42665211"}, {"ref": "arunpurakkatt/bert-roberta-lstm-distilbert-cnn-bert-bert-pytorch", "kernel_id": "42081023"}, {"ref": "johnsmith44/roberta-nlp-w-disaster-tweets-2023-august", "kernel_id": "42039144"}, {"ref": "trhgquan/disaster-tweet-with-tfidf-countvectorizer", "kernel_id": "42173245"}, {"ref": "trhgquan/disaster-tweet-with-llms", "kernel_id": "42053213"}, {"ref": "ao9mame/disaster-tweets-deberta-with-transformers", "kernel_id": "42075971"}, {"ref": "robinlutter/nlp-disaster-tweets", "kernel_id": "42099815"}, {"ref": "j13mehul/bert-embedding-xgboost-optuna", "kernel_id": "42117261"}, {"ref": "anubhav012/nlp-tweets-lstm-gru", "kernel_id": "42305290"}, {"ref": "hakanfe/disaster-tweets-classification-nlp-lstm", "kernel_id": "42344180"}, {"ref": "lutfiandri/kerasnlp-disaster-classification", "kernel_id": "42481007"}, {"ref": "thierryneusius/textvectorization-embedding-layer-with-keras", "kernel_id": "42425769"}, {"ref": "thierryneusius/disaster-nltk-naive-bayes", "kernel_id": "42114343"}, {"ref": "thierryneusius/disaster-nltk-logisticregression", "kernel_id": "42048880"}, {"ref": "l048596/disaster-tweets-deberta-tf-81-64", "kernel_id": "42136652"}, {"ref": "svetlanaku/disaster-tweets-classification-with-ktrain", "kernel_id": "42131732"}, {"ref": "ayedbochra/bert-text-classification-and-data-processing", "kernel_id": "42954006"}, {"ref": "zaiemmustaqiem/disaster-tweet-nlp", "kernel_id": "42663051"}, {"ref": "shivamtaneja2304/disaster-tweets-bert-uncased", "kernel_id": "42800629"}, {"ref": "yinchienpai/disaster-tweets-prediction-bert-pytorch", "kernel_id": "42564424"}, {"ref": "ghitabenjrinija/nlp-twitter-disaster-classifier", "kernel_id": "42498993"}, {"ref": "amanmukati/nlp-with-disaster-management", "kernel_id": "42522771"}, {"ref": "swish9/natural-language-processing-with-disaster-tweets", "kernel_id": "42892121"}, {"ref": "vvthai14/nlp-disaster", "kernel_id": "42000533"}, {"ref": "roshansalunke/natural-language-processing-with-disaster-tweets", "kernel_id": "42711795"}, {"ref": "somtochukwuachikanu/fork-of-disaster-tweet-claassification", "kernel_id": "42463817"}, {"ref": "jiyooon/notebook1892b93ad4", "kernel_id": "42986602"}, {"ref": "oyebamijimicheal/bag-of-words-beginners-approach-to-nlp", "kernel_id": "42322342"}, {"ref": "billycemerson/simple-nlp-text-classification", "kernel_id": "42042493"}, {"ref": "billycemerson/nlp-text-classification-svm", "kernel_id": "42042966"}, {"ref": "cezarr/nlp-disaster-tweets-with-huggingface-transformers", "kernel_id": "42553998"}, {"ref": "vaibhavsanepara/disaster-tweet-classification-competition", "kernel_id": "42773452"}, {"ref": "ca0nie121202/disaster-tweets-deberta-tf-81-64", "kernel_id": "42192537"}, {"ref": "agnesmcfarlin/disaster-tweets-notebook", "kernel_id": "42011740"}, {"ref": "hazemegy/nlp-dt-using-distilbert-base-uncased", "kernel_id": "42944818"}, {"ref": "enricomanosperti/natural-language-processing-with-disaster-tweets", "kernel_id": "42792827"}, {"ref": "pyrotech/disaster-using-nlp-75", "kernel_id": "42471450"}, {"ref": "khanaabidabdal/disaster-tweet-prediction", "kernel_id": "42939155"}, {"ref": "ngngclm/dlp-nh-m-7", "kernel_id": "42207705"}, {"ref": "sombrahacker/robert-for-nlp", "kernel_id": "42179702"}, {"ref": "manasbarnwal/disaster-dataset", "kernel_id": "42944635"}, {"ref": "nithinreddy90/disaster-tweets-prediction-logistic-regression", "kernel_id": "42814171"}, {"ref": "hks1105/nlp-disaster-tweets-kaggle-mini-project", "kernel_id": "42872976"}, {"ref": "kaineyamashiro/disaster-or-not-using-bidirectional-lstm", "kernel_id": "42914107"}, {"ref": "maxagrafa/disaster-tweets-with-distilbert", "kernel_id": "42379309"}, {"ref": "pawankrgunjan/natural-language-processing-with-disaster-tweets", "kernel_id": "42111608"}, {"ref": "sagorkumarmitra/natural-language-processing-with-disaster-tweets", "kernel_id": "42529055"}, {"ref": "nathaniellybrand/initial-disaster-tweet-classification-nb", "kernel_id": "42263755"}, {"ref": "ahmedmgelwan/disaster-tweets-classification-using-classical-ml", "kernel_id": "42632229"}, {"ref": "prox37/nlp-with-disaster-tweets-using-tf-and-transformers", "kernel_id": "42599847"}, {"ref": "sayedshaun/disaster-tweets-prediction-randomforest", "kernel_id": "42646965"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "ahmedaljarrah/nlp-disaster-tweets", "kernel_id": "42523132"}, {"ref": "aigerimkabiyeva/notebook4a78e7935a", "kernel_id": "42772903"}, {"ref": "mlrond/2gram-bag-of-words-textvectorization-with-keras", "kernel_id": "42443559"}, {"ref": "carlymeador/tweets-natural-disaster-bert", "kernel_id": "42584998"}, {"ref": "kavin1125/disaster-tweet-nlp", "kernel_id": "42626160"}, {"ref": "andreynaligatskidias/nlp-using-deep-learning", "kernel_id": "42665271"}, {"ref": "dommsday29/notebook47a22f260d", "kernel_id": "42033778"}, {"ref": "milosz7/nlp-disaster-tweet-predictions-using-bert", "kernel_id": "42691982"}, {"ref": "gunterr/homework", "kernel_id": "42135366"}, {"ref": "kelvinmh/nlp-disaster-tweet", "kernel_id": "42206510"}, {"ref": "mariabistro/text-classification-bert", "kernel_id": "42385182"}, {"ref": "louiselychau/nlp-tweets-spacy", "kernel_id": "42183551"}, {"ref": "thereal50kirill50/nlp-s-classifier-w-tf-spacy-custom-bert-model", "kernel_id": "42715660"}, {"ref": "juansroadtodata/twitting-disasters", "kernel_id": "42674342"}, {"ref": "mertalver/disaster-tweets-using-nltk", "kernel_id": "42955451"}, {"ref": "josefons/tweet-classifier", "kernel_id": "42150492"}, {"ref": "abhaysuvagiya/nlp-getting-started", "kernel_id": "42816070"}, {"ref": "twinpilgrim/data-augmentation-with-back-translation", "kernel_id": "43542515"}, {"ref": "idv2005/disaster-tweets-using-huggingface-transformers", "kernel_id": "43285073"}, {"ref": "dima806/disaster-tweet-classification-distilbert", "kernel_id": "43343739"}, {"ref": "marekm4/disaster-tweets-simple-nlp-library", "kernel_id": "43560195"}, {"ref": "stopwhispering/disaster-tweets-classif-1-embe-with-lr-and-rf", "kernel_id": "43302325"}, {"ref": "stopwhispering/disaster-tweets-classif-2-embeddings-in-lin-n", "kernel_id": "43315863"}, {"ref": "stopwhispering/nlp-disaster-tweets-eda", "kernel_id": "43271177"}, {"ref": "yakinoki/natural-language-processing-with-disaster-tweets", "kernel_id": "43251238"}, {"ref": "fahmisajid/interactive-map-disaster-tweet", "kernel_id": "43288021"}, {"ref": "nikunjphutela/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "43035659"}, {"ref": "nikunjphutela/disaster-tweets-eda", "kernel_id": "43035664"}, {"ref": "nikunjphutela/titanic-disaster-tweets-preprocessing", "kernel_id": "43512105"}, {"ref": "nikunjphutela/disaster-tweets-checkpoint-1", "kernel_id": "43516378"}, {"ref": "abadihak/nlp-glove-bert-tf-idf-lstm", "kernel_id": "43420975"}, {"ref": "yasinak/text-classification-using-huggingface-trainerapi", "kernel_id": "43399867"}, {"ref": "trhgquan/disaster-tweet-using-cnn-and-birnn", "kernel_id": "43850853"}, {"ref": "trhgquan/disaster-tweet-using-cnn-and-rnn-concating", "kernel_id": "43600718"}, {"ref": "trhgquan/disaster-tweet-using-cnn-and-rnn", "kernel_id": "43529433"}, {"ref": "trhgquan/disaster-tweet-using-cnn", "kernel_id": "43191721"}, {"ref": "trhgquan/disaster-tweet-using-rnn-attention", "kernel_id": "43062013"}, {"ref": "priyanshuagwl/nltk-and-spacy", "kernel_id": "43742469"}, {"ref": "fouzirayan/fine-tuning-bert-for-text-classification", "kernel_id": "43059501"}, {"ref": "carloscorredor24/emergency-model", "kernel_id": "43882750"}, {"ref": "evgeniionegin/text-classification-consultation", "kernel_id": "43287370"}, {"ref": "aditikumari1710/nlp-disaster-prediction", "kernel_id": "43791610"}, {"ref": "amarmismail/nlp-with-neural-network", "kernel_id": "43100593"}, {"ref": "parth215/nlp-getting-started", "kernel_id": "43052531"}, {"ref": "geromeandrewducduc/text-classification-using-transformers", "kernel_id": "43217145"}, {"ref": "maheshmohna/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "43318665"}, {"ref": "tauhidnoor/nlp-disasterdetection", "kernel_id": "43274655"}, {"ref": "akshayjayasoorya/disaster-tweets-trial-with-bert", "kernel_id": "43588704"}, {"ref": "mdjunaidhussain/multinomialnb-and-lstm-model", "kernel_id": "43214159"}, {"ref": "jackksoncsie/using-neural-network-for-first-time", "kernel_id": "43391964"}, {"ref": "sergeypolivin/nn-bert-classifier-transformers-trainer-api", "kernel_id": "43806487"}, {"ref": "kelixirr/natural-language-processing-with-disaster-tweets", "kernel_id": "43793699"}, {"ref": "aniruthsundararajan/nlp-disaster-tweet", "kernel_id": "43175416"}, {"ref": "ahmedashrafahmed/nlp-with-disaster-tweets-using-word2vec-glove-tfid", "kernel_id": "43426769"}, {"ref": "muhammadareebkhan/natural-language-processing-with-disaster-tweets", "kernel_id": "43549983"}, {"ref": "manidaaw/nlp-getting-started-using-bert", "kernel_id": "43603636"}, {"ref": "sunilthite/nlp-disaster-tweets-ml-algorithms-countvectorizer", "kernel_id": "43519787"}, {"ref": "sunilthite/nlp-disaster-tweets-using-bert", "kernel_id": "43558633"}, {"ref": "sunilthite/nlp-disaster-tweets-ml-algorithms-tfidf", "kernel_id": "43529818"}, {"ref": "jingzhi2370/disaster-tweet-eda", "kernel_id": "43038694"}, {"ref": "giulianocrenna/nlp-disaster-tweets-classification-with-bert", "kernel_id": "43737941"}, {"ref": "marwanashraf22/nlp-twitter-classifier-multiple-algorithms", "kernel_id": "43303086"}, {"ref": "saitejasettipalli/notebookcc7927d1f6", "kernel_id": "43540130"}, {"ref": "xjj1234/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "43523409"}, {"ref": "kesanamashinee/nlp-tweets", "kernel_id": "43094774"}, {"ref": "ahmedashraf792002/nlp-with-disaster-tweets-using-word2vec-glove-tfid", "kernel_id": "43602927"}, {"ref": "abhishekrai13/disaster-tweets", "kernel_id": "43856718"}, {"ref": "ryuseikataoka/nlp-disaster-tweets-with-rnn", "kernel_id": "43629175"}, {"ref": "ahmadim/natural-disaster-problem", "kernel_id": "43340065"}, {"ref": "amlannayak2002/sms-version-1", "kernel_id": "43979617"}, {"ref": "yujiandlee/23-09-30-1-1-base-line-k-fold", "kernel_id": "43830679"}, {"ref": "ahmedelsayed33/nlp-with-disaster-tweets-using-word2vec-glove-tfid", "kernel_id": "43533595"}, {"ref": "asemsaber/disaster-tweets", "kernel_id": "43217272"}, {"ref": "coinshot/disaster-tweets-nlp-model", "kernel_id": "43740620"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "nanjatiana/transformers-based-nlp-model-3", "kernel_id": "43840596"}, {"ref": "valiantsinrakots/twitter-disaster-multinominalnb", "kernel_id": "43177670"}, {"ref": "bekkarmerwan/logisticregression-79", "kernel_id": "43028100"}, {"ref": "valentinbelyaev/bert-with-simple-hyper-parameter-tunning", "kernel_id": "43283324"}, {"ref": "dnayan/natural-language-processing-with-disaster-tweets", "kernel_id": "43880335"}, {"ref": "notoookay/naive-bayes-logistic-regression", "kernel_id": "43404007"}, {"ref": "janakieas/transformers-encoder-only", "kernel_id": "43796991"}, {"ref": "sarahelshakankiry/tweets", "kernel_id": "43869160"}, {"ref": "ardakshalkarbayuli/notebook3080a2988d", "kernel_id": "44904822"}, {"ref": "antoniozs/nlp-dissaster-tweet-classification", "kernel_id": "44563236"}, {"ref": "giri24343/nlp-text-classification-tfidf", "kernel_id": "44948899"}, {"ref": "trhgquan/disaster-tweet-using-cnn-and-birnn-concating", "kernel_id": "44262733"}, {"ref": "mlin34/nlp-disaster-with-use-lstm-glove", "kernel_id": "44076348"}, {"ref": "pohzixiang/disaster-tweets-nlp-for-beginners", "kernel_id": "44985431"}, {"ref": "alkanerturan/tweet-disasterornot1", "kernel_id": "44579199"}, {"ref": "raihanrasheed1998/disaster-tweet-with-transfer-learning-comparison", "kernel_id": "44716644"}, {"ref": "fathyalin/tensorflow-embedding-disaster-nlp-from-scracth", "kernel_id": "44726034"}, {"ref": "samrahuseynova/svc-80294-with-no-fe", "kernel_id": "44002173"}, {"ref": "samrahuseynova/fe-logreg-naivebayes-svc-score-0-80079", "kernel_id": "44005329"}, {"ref": "satvikgaikwad/nlp-twitter-disaster-sentiment-analysis", "kernel_id": "44058136"}, {"ref": "anardashdamirli/disaster-or-not-classification", "kernel_id": "44043861"}, {"ref": "emanbadr99/nlp-foundation", "kernel_id": "44778404"}, {"ref": "oleksiyshabo/natural-language-processing-with-disaster-tweets", "kernel_id": "44548929"}, {"ref": "nagendramantrabuddi/disaster-tweet-bert", "kernel_id": "44198597"}, {"ref": "alexandrakalacheva/disaster-tweets-proj", "kernel_id": "44836806"}, {"ref": "debapampal2002/nlp-glove-bert-tf-idf-lstm-explained", "kernel_id": "44136767"}, {"ref": "vnduycao/lstm-bert-tweetdata", "kernel_id": "44546514"}, {"ref": "singhayush16/nlp-disaster-tweet-or-not", "kernel_id": "44600072"}, {"ref": "shivam6862/wizardry-tweets-transformed-score-0-79190", "kernel_id": "44427729"}, {"ref": "himanshuydv11/disaster-tweet", "kernel_id": "44270489"}, {"ref": "jaymanvirk/baseline-lstm-and-gru", "kernel_id": "44656614"}, {"ref": "evrendurmus/sentiment-analyzed-prediction", "kernel_id": "44355739"}, {"ref": "rosechanapa/paytispaytin", "kernel_id": "44914456"}, {"ref": "laurafcamargos/disastertweets", "kernel_id": "44105536"}, {"ref": "prasannnh/bertweet-model-for-classification", "kernel_id": "44882319"}, {"ref": "jankuper192/disaster-tweets-nl-en-h2o", "kernel_id": "45051052"}, {"ref": "ianchute/1-minute-nlp", "kernel_id": "45284172"}, {"ref": "maxim9012/nlp-getting-started", "kernel_id": "45361019"}, {"ref": "nikunjphutela/disaster-tweets-checkpoint-2", "kernel_id": "45320825"}, {"ref": "nikunjphutela/disaster-tweets-sampling", "kernel_id": "45834985"}, {"ref": "ianpetrustan/fine-tuning-bert-model-for-tweet-prediction", "kernel_id": "45925705"}, {"ref": "ianpetrustan/analysis-clean-fine-tune-roberta-model", "kernel_id": "45977298"}, {"ref": "abdoelsaadny/nlp-twitter-disaster-classifier", "kernel_id": "45484960"}, {"ref": "gantanch/clean-data", "kernel_id": "45724316"}, {"ref": "kelvinquansah/text-classification-using-tfidfvectorizer-and-cnn", "kernel_id": "45435150"}, {"ref": "kelvinquansah/text-classification-using-fnet", "kernel_id": "45184799"}, {"ref": "swapnilnarwade/tweets-classification", "kernel_id": "45746147"}, {"ref": "egemenuurdalg/are-larger-models-always-the-best-solution", "kernel_id": "45912521"}, {"ref": "sameervashisht/nlp-01-classify-tweets-as-disaster", "kernel_id": "45267461"}, {"ref": "kuvambhardwaj/nlp-with-disaster-tweets", "kernel_id": "45408507"}, {"ref": "itskey07/nlp-with-disaster-tweets", "kernel_id": "45331313"}, {"ref": "vidhikishorwaghela/disaster-tweet-predictor", "kernel_id": "45410585"}, {"ref": "akshayjayasoorya/disaster-tweets-2nd-bert-implementation", "kernel_id": "45331384"}, {"ref": "akshatpatil/nlp-disaster-experiments", "kernel_id": "45378066"}, {"ref": "mrityunjay110/nlp-tweets-analysis", "kernel_id": "45856456"}, {"ref": "cphongphng/text-classification-with-disaster-tweets", "kernel_id": "45881850"}, {"ref": "eishkaran/disaster-tweets-hugging-face", "kernel_id": "45572847"}, {"ref": "anwar9ibrahim/training-the-model", "kernel_id": "45062507"}, {"ref": "badr2211/imbalnced-classes-tweet-dataset", "kernel_id": "45662295"}, {"ref": "mostafakhaaled/sentmental-analysis-nlp-transformar", "kernel_id": "45272092"}, {"ref": "robertlowens/bowens-7-15", "kernel_id": "45419464"}, {"ref": "sgjustino/disaster-tweet-classification", "kernel_id": "45319394"}, {"ref": "georgemgannon/notebook6f6f7973fc", "kernel_id": "45702144"}, {"ref": "erdemcaliskan/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "45765520"}, {"ref": "lakshmendpara/notebook0b2fb03634", "kernel_id": "45831694"}, {"ref": "ianchute/simple-hashing-svm-model", "kernel_id": "46291028"}, {"ref": "kesavan21u/keras-lstm-text-classification", "kernel_id": "46746758"}, {"ref": "stpeteishii/nlp-disaster-tweets-torch-deberta", "kernel_id": "46790503"}, {"ref": "stpeteishii/nlp-disaster-tweets-torch-bert", "kernel_id": "46790162"}, {"ref": "sergkuzn/eda-using-additional-features-with-bert-pytorch", "kernel_id": "46884208"}, {"ref": "colefeldman/beginner-ensemble-learning-for-nlp", "kernel_id": "46147237"}, {"ref": "digitsingh/84-accuracy-using-logistic-regression", "kernel_id": "46359084"}, {"ref": "mawro73/your-first-nlp-competition-notebook-80accuracy", "kernel_id": "46140923"}, {"ref": "swarnabh31/nlp-with-complete-data-cleaning", "kernel_id": "46670920"}, {"ref": "sadiakhatun/disaster-with-ml", "kernel_id": "46850317"}, {"ref": "sarahyeboahm/nlp-keras-approach", "kernel_id": "46425912"}, {"ref": "ilhansevval/text-classification-with-bert-disaster-tweets", "kernel_id": "46088834"}, {"ref": "pelinkeskin/nlp-practice-tensorflow-lstm-cnn-glove", "kernel_id": "46143410"}, {"ref": "karensnchez/disaster-tweets-with-huggingface-transformers", "kernel_id": "46135340"}, {"ref": "mohamedmaboshady/lstm-tokinizer", "kernel_id": "46811225"}, {"ref": "mohamedmaboshady/tfidf-random-forest", "kernel_id": "46556698"}, {"ref": "aravindhmp/real-disaster-prediction-using-lstm", "kernel_id": "46513360"}, {"ref": "jyoti404/llm-detect-ai-generated", "kernel_id": "46460395"}, {"ref": "yeemeitsang/tweet-classification-bert", "kernel_id": "46277122"}, {"ref": "gungunfite/notebook1a706d923c", "kernel_id": "46303744"}, {"ref": "saitejasettipalli/dm-project", "kernel_id": "46727306"}, {"ref": "keishibata/disaster-tweets-nlp-with-eda-wordcloud-tf", "kernel_id": "46568811"}, {"ref": "aondofaalfred/distillbert-for-text-classification", "kernel_id": "46354754"}, {"ref": "aezersx/nlppppp", "kernel_id": "46294626"}, {"ref": "osamaabobakr/nlp-training-96-testing-81", "kernel_id": "46523669"}, {"ref": "przem8k/disaster-tweets-transformers-and-deberta-v3-s", "kernel_id": "46770096"}, {"ref": "meowkhoa/block-of-text-lstm-numpy-from-scratch", "kernel_id": "46105181"}, {"ref": "karasic/distilbert-mean-max-pooling-with-torch", "kernel_id": "46385695"}, {"ref": "mennamaher951/disaster-tweets-nlp-lstm-lr", "kernel_id": "46855773"}, {"ref": "jags816/nlp-processing-rnn", "kernel_id": "46058359"}, {"ref": "nicoalvpro/twitter-nico", "kernel_id": "46682970"}, {"ref": "nicoalvpro/twitter-nico-v2", "kernel_id": "46909007"}, {"ref": "nicoalvpro/twitter-nico-v3", "kernel_id": "46973793"}, {"ref": "jorgevegagamero/notebook-tweets", "kernel_id": "46679762"}, {"ref": "mduvt21932982389923/mluvt2023-team", "kernel_id": "46748838"}, {"ref": "berkaysahiin/nlp-disaster-tweets", "kernel_id": "46038222"}, {"ref": "wangyujo/notebook13172cd685", "kernel_id": "46361650"}, {"ref": "thimac/t5-lora-4bit-finetuning", "kernel_id": "47573581"}, {"ref": "hanseungcheol/notebookdc872e606c", "kernel_id": "47291950"}, {"ref": "tphaterp/cnn-example-with-torchtext-and-pytorch-lightning", "kernel_id": "47940194"}, {"ref": "arcotgautham/nlp-disaster-prediction-model-for-tweets", "kernel_id": "47893627"}, {"ref": "visalakshiiyer/dm-classification-pipeline-training", "kernel_id": "47317414"}, {"ref": "vladyslavsh/nlp-data-exploration-lstm-bert", "kernel_id": "47498642"}, {"ref": "eviltrtl/disaster-tweets", "kernel_id": "47560203"}, {"ref": "chuuuya5269/nlp-disaster-deberta-v3-base-baseline", "kernel_id": "47271555"}, {"ref": "mohadesehemamipour/notebook5f465af58b", "kernel_id": "47463221"}, {"ref": "zalinarusinova/word2vec", "kernel_id": "47091523"}, {"ref": "tomatolian/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "47271946"}, {"ref": "fatihilhan/disaster-tweet-classification", "kernel_id": "47872857"}, {"ref": "yassinesedjari/fine-tuning-bert-for-sentiment-analysis", "kernel_id": "47957686"}, {"ref": "selvakumaranr/nlp-with-disaster-tweets", "kernel_id": "47961721"}, {"ref": "mikolajhojda/getting-started-with-lstm-for-nlp", "kernel_id": "47505100"}, {"ref": "mikolajhojda/linguistic-features-spacy-nlp", "kernel_id": "47899096"}, {"ref": "zakariajoudar/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "47842862"}, {"ref": "rrb8695/natural-language-processing-nlp-for-beginners", "kernel_id": "47655088"}, {"ref": "kagleo123/nlp-with-disaster-tweets-eda-bert", "kernel_id": "47578165"}, {"ref": "nourelhoudabenazzoug/xlnet-fine-tuning-with-pytorch", "kernel_id": "47842164"}, {"ref": "hardikraina/major-22", "kernel_id": "47108953"}, {"ref": "rafe12/tweet-classification", "kernel_id": "47227861"}, {"ref": "manueldlabra/disaster-tweets-with-distilbert", "kernel_id": "47568936"}, {"ref": "playfulminds/randomforest-78", "kernel_id": "47510920"}, {"ref": "mdimpreeajhossain/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "47518489"}, {"ref": "ilya2raev/nlp-with-disaster-tweets-tf-idf-deberta", "kernel_id": "47251115"}, {"ref": "jessicaval/disaster-tweets-prediction-using-distilbert", "kernel_id": "47719446"}, {"ref": "aliyarazyapova/natural-language-processing-with-disaster-tweets", "kernel_id": "47413054"}, {"ref": "vilenamuzipova/notebook6bf23eb208", "kernel_id": "47415399"}, {"ref": "bulbazavr/twitter-catboost", "kernel_id": "47413359"}, {"ref": "bulbazavr/twitter-catboost-new", "kernel_id": "47420902"}, {"ref": "lohitavaghosh/project-2-version-1", "kernel_id": "47087146"}, {"ref": "lohitavaghosh/project-2-version-2", "kernel_id": "47161990"}, {"ref": "danilagorlov/natural-language-processing-with-disaster-tweets", "kernel_id": "47411038"}, {"ref": "omariovic/nlp-disasters-predictions-with-pytorch", "kernel_id": "47691993"}, {"ref": "praveshsharma2002/disaster-notdisaster", "kernel_id": "47345131"}, {"ref": "hzy420/transformers-based-nlp-model-3-109c03", "kernel_id": "47484974"}, {"ref": "elmezianech/notebook86470c7043", "kernel_id": "47001216"}, {"ref": "chentongxue2333/disastertweets-20231203", "kernel_id": "47248808"}, {"ref": "chentongxue2333/disastertweets-1205", "kernel_id": "47344975"}, {"ref": "hw2897/use-tfidf-random-forest", "kernel_id": "47746859"}, {"ref": "mrisdal/fork-of-test-demo-keras-nlp", "kernel_id": "48971936"}, {"ref": "mrisdal/classifying-tweets-w-kerasnlp", "kernel_id": "48972582"}, {"ref": "mrisdal/test-demo-keras-nlp", "kernel_id": "48049589"}, {"ref": "emiz6413/huggingface-deberta-v3-base-finetune", "kernel_id": "48896205"}, {"ref": "chanjini/eods-nlp-challenge", "kernel_id": "48405720"}, {"ref": "dhanyabahadur/nlp-with-disaster-tweets", "kernel_id": "48698743"}, {"ref": "parthr164/nlp-with-disaster-tweets", "kernel_id": "48286809"}, {"ref": "grapeseed/disaster-tweets-classification-nn-vs-rfc", "kernel_id": "48865661"}, {"ref": "moussafofana/notebook31ade25cc2", "kernel_id": "48360385"}, {"ref": "lonnieqin/zero-shot-classification-with-huggingface", "kernel_id": "48537881"}, {"ref": "bhaveshmittal/disaster-tweets-naive-bayes-ensemble", "kernel_id": "48679859"}, {"ref": "sardiirfansyah/nlp-eda-ner-glove-lstm-gru-cnn-tflite", "kernel_id": "48721602"}, {"ref": "mohammadahmar/fastai-and-transformers-disaster-tweets", "kernel_id": "48902543"}, {"ref": "thierryneusius/custom-keras-classifier-hugging-face-transformer", "kernel_id": "48254781"}, {"ref": "thierryneusius/pretraining-bert-with-hugging-face-transformers", "kernel_id": "48256908"}, {"ref": "thierryneusius/keras-transformer-with-textvectorization", "kernel_id": "48729671"}, {"ref": "igcc2021/elements-for-data-science-fall-23", "kernel_id": "48084900"}, {"ref": "mayasizinsan/tfidf-svm-binary-classification-for-disaster", "kernel_id": "48529144"}, {"ref": "lemelo/eods-nlp-competition", "kernel_id": "48341539"}, {"ref": "todisoanirinamickael/text-classification-pytorch", "kernel_id": "48014563"}, {"ref": "ahmedashraf25/nlp-with-disaster-tweets-using-word2vec-glove-tfid", "kernel_id": "48706207"}, {"ref": "patrickxuwx/disaster-nlp-with-nltk", "kernel_id": "48824781"}, {"ref": "paradoxplusparadise/nlp-twitter-analysis", "kernel_id": "48251424"}, {"ref": "houssamboukhecham/nlp-with-fasttext", "kernel_id": "48577141"}, {"ref": "zaherr/nlp-101-with-nltk-and-spacy-text-analysis", "kernel_id": "48036032"}, {"ref": "yasvanthikak21itr122/natural-language-processing-with-disaster-tweets", "kernel_id": "48771835"}, {"ref": "shimaazizi/nlp-with-disaster-tweets", "kernel_id": "48394748"}, {"ref": "ilhambagaz/kompetisi-natural-language-processing", "kernel_id": "48996230"}, {"ref": "punreddy/deepak-submission-notebook", "kernel_id": "48047588"}, {"ref": "khushisharma7856/nlpwithdisastertweets", "kernel_id": "48768573"}, {"ref": "akshatshaw7/spacy-word2vec", "kernel_id": "48661739"}, {"ref": "sajjadfc13/disaster-check", "kernel_id": "48735693"}, {"ref": "pratyush801/nlp-disaster-tweets", "kernel_id": "48927221"}, {"ref": "hakim11/introduce-to-pivottablejs-and-pygwalker", "kernel_id": "48999160"}, {"ref": "hakim11/nlp-competition-99-accuracy", "kernel_id": "48994557"}, {"ref": "juntaihuang/notebookffd6ee2e9c", "kernel_id": "48567200"}, {"ref": "juntaihuang/notebookf4767c90ff", "kernel_id": "48557205"}, {"ref": "williamcholden/nlp-for-tweets", "kernel_id": "48228060"}, {"ref": "doni04/notebook16886e2a8d", "kernel_id": "48814493"}, {"ref": "pathikviramgama/nlp-test-submission", "kernel_id": "48682510"}, {"ref": "sumitkumarsingh22002/disastertweetsnotebook", "kernel_id": "48769389"}, {"ref": "julyju/pytorch-bert-for-disaster-tweets", "kernel_id": "48078549"}, {"ref": "yealinpark/eods-f-23-nlp-with-disaster-tweets", "kernel_id": "48368401"}, {"ref": "al3750/nlp-disaster-tweets-al3750", "kernel_id": "48245804"}, {"ref": "hw2897/notebook4597788b49", "kernel_id": "48047490"}, {"ref": "amandachen888/eods-disaster-tweets", "kernel_id": "48418102"}, {"ref": "aashidutt3/classifying-disaster-tweets-with-kerasnlp", "kernel_id": "49358103"}, {"ref": "tabualkher/disaster-tweets-single-layer-lstm", "kernel_id": "49223215"}, {"ref": "tabualkher/disaster-tweets-with-multi-layers-lstm", "kernel_id": "49256579"}, {"ref": "emiz6413/transformers-united-majority-voting", "kernel_id": "49080880"}, {"ref": "apalladi/81-bag-of-words-naivebayesian", "kernel_id": "49974071"}, {"ref": "akhilakamma/nlp-with-disaster-tweets-tf-idf-with-rc", "kernel_id": "49993609"}, {"ref": "m3tt31/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "49687732"}, {"ref": "lonnieqin/getting-started-with-pytorch", "kernel_id": "49000295"}, {"ref": "shreyasdesai/nlp-for-disaster-tweets-prediction", "kernel_id": "49120334"}, {"ref": "zalinarusinova/word2vec-embeddings", "kernel_id": "49786694"}, {"ref": "davidhjek/disaster-tweets-pytorch-and-bert", "kernel_id": "49146910"}, {"ref": "kartikeyakhare/nlp-with-hugging-face-transformers", "kernel_id": "49368118"}, {"ref": "cleytoncandeira/0-8256-bert-with-disaster-tweets", "kernel_id": "49100837"}, {"ref": "yuushii/llm-bert", "kernel_id": "49890203"}, {"ref": "mayasizinsan/fine-tuning-bert-binary-classification-disaster", "kernel_id": "49312001"}, {"ref": "figolm10/nlp-disaster-detection", "kernel_id": "49748012"}, {"ref": "dhineshbabbu/adb-nlp-with-disaster-tweets", "kernel_id": "49186661"}, {"ref": "survydv/disaster-tweets", "kernel_id": "49575049"}, {"ref": "yashasgarg/disaster-tweets", "kernel_id": "49677050"}, {"ref": "toddgardiner/disaster-tweets-classifier-nlp-tf-tpu", "kernel_id": "49399405"}, {"ref": "jyoti404/nlp-with-disaster-tweets", "kernel_id": "49503424"}, {"ref": "mukulsaini01/tweet-analysis-with-kerasnlp", "kernel_id": "49346199"}, {"ref": "pannsengpanich/natural-language-processing-with-disaster-tweets", "kernel_id": "49130970"}, {"ref": "abdulsalam17/disaster", "kernel_id": "49446403"}, {"ref": "amitpant7/natural-language-processing-with-disaster-tweets", "kernel_id": "49624430"}, {"ref": "vishnupriyagarige/natural-language-processing-with-disaster-tweets", "kernel_id": "49595920"}, {"ref": "dheerajkr1a1a/nlp-disaster-tweets-bert-custom-layer", "kernel_id": "49163395"}, {"ref": "mohamedalaa40123/disaster-tweets-eda-cleaning-tf-idf", "kernel_id": "49171643"}, {"ref": "chhavidhankhar11/natural-language-processing-with-disaster-tweets", "kernel_id": "49832424"}, {"ref": "arnavsharma45/disaster-tweets-nlp", "kernel_id": "49785621"}, {"ref": "kashish50/nlp-cv-bert-tqdm-82-96", "kernel_id": "49731390"}, {"ref": "kashish50/nlp-bert", "kernel_id": "49465428"}, {"ref": "devilbornfire/fake-tweets-nlp-eda", "kernel_id": "49209760"}, {"ref": "mariemahmad22/cultrix-mistraltrix-v1-c1c974-05935b-d33ab8", "kernel_id": "49224856"}, {"ref": "jiahuiyu729/nlp-disaster-tweets-huggingface-pytorch-bert", "kernel_id": "49200829"}, {"ref": "kkamal2003/keras-nlp", "kernel_id": "49967407"}, {"ref": "glenn23/nlp-tweets-classification-use-sequential-api", "kernel_id": "49586240"}, {"ref": "buraknekc/notebook24feca6d8e", "kernel_id": "49057087"}, {"ref": "esotoca/84-kerasnlp-pour-la-classification-de-tweets", "kernel_id": "49984268"}, {"ref": "renhuang8/nlp-with-disaster-tweets-bert", "kernel_id": "49858925"}, {"ref": "scientificstephen/natural-language", "kernel_id": "49792327"}, {"ref": "mgaibisso/nlp-with-disaster-tweets", "kernel_id": "49735919"}, {"ref": "marcospenelas/tweets-clasification-competition-keras-nlp", "kernel_id": "49905564"}, {"ref": "ambrustorok/natural-language-processing-with-disaster-tweets", "kernel_id": "49642613"}, {"ref": "alsayedali/nlp-with-disaster-tweets-using-word2vec-glove-tfid", "kernel_id": "49848100"}, {"ref": "latebloomer/disaster-tweet-classifier-using-word-vectors", "kernel_id": "50819870"}, {"ref": "pardeep19singh/fine-tune-phi-2-llm-83-78-on-disaster-tweets", "kernel_id": "50949654"}, {"ref": "pardeep19singh/fine-tune-open-llama-llm-82-80-on-disaster-tweets", "kernel_id": "50970471"}, {"ref": "pardeep19singh/fine-tune-last-layer-of-roberta-large-model-82", "kernel_id": "50199933"}, {"ref": "pardeep19singh/fine-tune-all-layers-of-roberta-large-model-83", "kernel_id": "50047266"}, {"ref": "ruslanjan/nlp-transformer-getting-started", "kernel_id": "50508523"}, {"ref": "neerajmohan/fine-tuning-bert-in-parameter-efficient-way-lora", "kernel_id": "50114718"}, {"ref": "vaibhavbawej07/disaster-prediction", "kernel_id": "50153249"}, {"ref": "tphaterp/testing-lightningdatamodule", "kernel_id": "50922103"}, {"ref": "akhilakamma/nlp-with-disaster-tweets-bert-pytorch", "kernel_id": "50076512"}, {"ref": "shrutidceit/nlp-with-cnn-in-detail", "kernel_id": "50620456"}, {"ref": "aycone/disastertweets", "kernel_id": "50069600"}, {"ref": "abhinavsinha845/nlp-with-disaster-tweets-model-multinomial-nb", "kernel_id": "50726349"}, {"ref": "srujanapalli/nlp-disaster-tweets", "kernel_id": "50799609"}, {"ref": "jieshends2020/nlp-disaster-tweets-prediction-lstm-gru-glove", "kernel_id": "50716837"}, {"ref": "aaryanduggal/fork-of-disaster-tweets-w-pyt-rch", "kernel_id": "50811483"}, {"ref": "alessiolerede/nlp-disaster-tweet-bert-analysis", "kernel_id": "50873170"}, {"ref": "dhruvlotia/disaster-nlp-analysis", "kernel_id": "50398734"}, {"ref": "smorika/82-96-fine-tuning-transformer-with-trainer-api", "kernel_id": "50131323"}, {"ref": "jaysreeborgohain/natural-language-processing-with-disaster-tweets", "kernel_id": "50278651"}, {"ref": "shoabahamed/binary-classification-with-pytorch", "kernel_id": "50213329"}, {"ref": "girishchowdary22/twitter-sentiment-analysis-with-lstm", "kernel_id": "50226750"}, {"ref": "girishchowdary22/disaster-tweets-model-prediction", "kernel_id": "50224115"}, {"ref": "thematrixx/sentiment-rp-82-accracy", "kernel_id": "50422108"}, {"ref": "harshit264/disaster-tweets-prediction-in-nlp", "kernel_id": "50413755"}, {"ref": "hardikgarg03/nlp-for-tweets-using-regression-countvec-tfidf", "kernel_id": "50030902"}, {"ref": "aigerimtokhmetova/logistic-regression-tweets", "kernel_id": "50066559"}, {"ref": "siangwunsiao/nlp-sklearn", "kernel_id": "50534825"}, {"ref": "itachiuchihc/nlp-disaster-tweets-classification", "kernel_id": "50905331"}, {"ref": "abdullah7aled/disaster-tweets-w-pyt-rch", "kernel_id": "50711160"}, {"ref": "kartikkumaria/disaster-tweet-classifier-using-bert", "kernel_id": "50774816"}, {"ref": "nishkoder/nlp-with-disaster-tweets-data-preprocessing", "kernel_id": "50477842"}, {"ref": "riyaraizada/natural-language-processing-with-disaster-tweets", "kernel_id": "50772221"}, {"ref": "aestroe/nlp-with-disaster-tweets", "kernel_id": "50113983"}, {"ref": "shatakshi9779/natural-language-processing-with-disaster-tweets", "kernel_id": "50544058"}, {"ref": "hannibalthecannibal/nlp-with-disaster-tweets", "kernel_id": "50300666"}, {"ref": "akankshasolanki123/nlp-withdisastertweets", "kernel_id": "50973740"}, {"ref": "martinkolda/nlp-classification-with-fine-tuned-hf-transformer", "kernel_id": "50358863"}, {"ref": "shresthapundir/kerasnlp-disaster-tweets", "kernel_id": "50077286"}, {"ref": "jasleen234/notebook992cd2918f", "kernel_id": "50951736"}, {"ref": "zephyrus1/nlp-eda-kerasnlp-distilbert", "kernel_id": "50614000"}, {"ref": "yashpuri1912/shortest-disaster-tweets", "kernel_id": "50473523"}, {"ref": "avikal30/codes", "kernel_id": "50782404"}, {"ref": "nitishjolly/natural-language-processing-with-disaster-tweets", "kernel_id": "50564431"}, {"ref": "tranduongminhdai/debertav3-twitter-disater", "kernel_id": "50062535"}, {"ref": "bhavyagoyal867/disaster-tweets-nlp", "kernel_id": "50663751"}, {"ref": "notsau/real-or-fake-disaster", "kernel_id": "50262411"}, {"ref": "cheshtbiala/disaster-nlp-analysis", "kernel_id": "50473143"}, {"ref": "ahlemammar2/nlp-disaster-tweets", "kernel_id": "50038217"}, {"ref": "chuaweicong/disaster-tweets-classification-nlp-bert", "kernel_id": "50346227"}, {"ref": "tarndeepsingh16/natural-language-processing-with-disaster-tweets", "kernel_id": "50611308"}, {"ref": "saanvi004/tweetanalysis-tf-idf-and-naive", "kernel_id": "50417137"}, {"ref": "alkahar/disaster-classification", "kernel_id": "50448449"}, {"ref": "lmikhell/natural-language-processing-nlp-for-beginners", "kernel_id": "50995886"}, {"ref": "ijfhjg/notebookaab9250c69", "kernel_id": "50862347"}, {"ref": "raghavendrarao/predict-disaster-tweets", "kernel_id": "51670258"}, {"ref": "raghavendrarao/predict-disaster-tweets-lstm", "kernel_id": "51808832"}, {"ref": "raghavendrarao/predict-disaster-tweets-gru", "kernel_id": "51809068"}, {"ref": "ardakshalkarbayuli/notebooknaivebayes", "kernel_id": "51449574"}, {"ref": "ardakshalkarbayuli/notebook90cf82b971", "kernel_id": "51509821"}, {"ref": "pardeep19singh/fine-tune-gemma-2b-84-4-on-disaster-tweets", "kernel_id": "51254384"}, {"ref": "mdfahimreshm/bert-finetuning-with-explainability-for-beginners", "kernel_id": "51057162"}, {"ref": "mexwell/bert-for-binary-classification", "kernel_id": "51162039"}, {"ref": "ritvikrtiwari/ritvik", "kernel_id": "51400970"}, {"ref": "tracyporter/disaster-tweets-keras-bilstm", "kernel_id": "51159030"}, {"ref": "tracyporter/disaster-tweets-keras-lstm", "kernel_id": "51122412"}, {"ref": "rudragujarathi/classifying-tweets-using-transformers", "kernel_id": "51247029"}, {"ref": "nickuzmenkov/mentoring-disaster-tweets", "kernel_id": "51237951"}, {"ref": "krunalkshirsagar523/natural-language-processing-nlp-for-beginners", "kernel_id": "51175263"}, {"ref": "leolvgil/lb-0-843-model-fusion-approach-for-disaster-nlp", "kernel_id": "51140024"}, {"ref": "hakancangunerli/keras-3-0-testing-for-nlp-tasks", "kernel_id": "51854791"}, {"ref": "hakancangunerli/keras-nlp-with-smote", "kernel_id": "51858363"}, {"ref": "anantpandey29/fine-tuning-gemma-7b-for-disaster-tweets", "kernel_id": "51259960"}, {"ref": "mohammad0dabash/disastertweets-multinomial-nb-lstm", "kernel_id": "51197814"}, {"ref": "mstanislaus/natural-language-preprocessing-with-disaster-tweet", "kernel_id": "51942834"}, {"ref": "gauthampnair/nlp-tweet-recognition-using-bert-classifier-model", "kernel_id": "51161512"}, {"ref": "alhsan/disaster-prediction-with-nlp", "kernel_id": "51047699"}, {"ref": "aadityavardhan/multinomialbayecountvectorizer", "kernel_id": "51289575"}, {"ref": "ekamsingh123go/tweet-check", "kernel_id": "51057900"}, {"ref": "prathmeshkolekar/notebook2d494be87a", "kernel_id": "51914100"}, {"ref": "vasuadireddy/disastrous-tweets-notebook-with-bert-base", "kernel_id": "51254672"}, {"ref": "phmthanht/tweet-disaster-topic-modeling", "kernel_id": "51070079"}, {"ref": "marwaelsherif/disaster-tweets-cp", "kernel_id": "51975721"}, {"ref": "jerlinjoseph/nlp-with-disaster-tweets-glove", "kernel_id": "51418296"}, {"ref": "richolson/mistral-7b-tweet-analysis-bribe-test", "kernel_id": "51546253"}, {"ref": "shivambhardwaj6969/disaster-prediction-using-nlp", "kernel_id": "51526965"}, {"ref": "khushibansal15/easy-approach-for-beginners-with-headers-nlp", "kernel_id": "51029086"}, {"ref": "ahmedmagdee/disaster-tweets-nlp", "kernel_id": "51140885"}, {"ref": "rishitaverma02/natural-language-processing-with-disaster-tweets", "kernel_id": "51291262"}, {"ref": "abhinavvvvvvvvvv/natural-language-processing-with-disaster-tweets", "kernel_id": "51935903"}, {"ref": "abubacker/disaster-text-classification", "kernel_id": "51767782"}, {"ref": "gamablobyt/nlp-with-tokenization-and-logistic-regression", "kernel_id": "51525327"}, {"ref": "veerpatel6693/disaster-tweets-with-multiple-ml-model", "kernel_id": "51560694"}, {"ref": "veerpatel6693/with-bernoullinb", "kernel_id": "51759634"}, {"ref": "aarushijain24/eda-and-data-cleaning-2", "kernel_id": "51960985"}, {"ref": "aarushijain24/disaster-tweets-eda-and-data-cleaning", "kernel_id": "51564230"}, {"ref": "sehajbirsinghbains/disaster-prediction-using-nlp", "kernel_id": "51159354"}, {"ref": "sannidhyajain/tweet-classification-lr-rf-xgb-decision-tree", "kernel_id": "51106772"}, {"ref": "adhamelkomy/tweets", "kernel_id": "51839463"}, {"ref": "aliafshar7/disaster-tweets-nlp-code", "kernel_id": "51241888"}, {"ref": "ananyagupta184/natural-language-processing-with-disaster-tweets", "kernel_id": "51926934"}, {"ref": "saranshthegoat/smj-s-disaster-prediction-using-nlp", "kernel_id": "51513640"}, {"ref": "yuvam21/disaster-tweets", "kernel_id": "51065332"}, {"ref": "madewuyi/disaster-tweets", "kernel_id": "51540623"}, {"ref": "elhadeka/natural-language-processing-with-disaster-tweets", "kernel_id": "51440077"}, {"ref": "nethanshaik/natural-language-processing-with-disaster-tweets", "kernel_id": "51783098"}, {"ref": "lushanthv/disaster-prediction-using-natural-language-process", "kernel_id": "51647503"}, {"ref": "travinsoloman/notebookab48776805", "kernel_id": "51538802"}, {"ref": "ardakshalkarbayuli/notebook-log-reg", "kernel_id": "52271961"}, {"ref": "prabalmukherjee/text-classification-with-keras-sequential-api", "kernel_id": "52126918"}, {"ref": "jimmyyeung/nlp-with-disaster-tweets-top-15", "kernel_id": "52370498"}, {"ref": "nitinshelke123/twitter-disaster-tweet-classification", "kernel_id": "52019208"}, {"ref": "margaretgathoni/nlp-disaster-tweets", "kernel_id": "52756679"}, {"ref": "devbachani/nlp-preprocessing-pipeline", "kernel_id": "52630327"}, {"ref": "maciejglowacki/classify-tweets-unsupervised-vs-supervised", "kernel_id": "52709806"}, {"ref": "alligator452/nlp-disaster-tweets-using-bert-neural-network", "kernel_id": "52702312"}, {"ref": "chapachandig1028/notebookde4452fa57", "kernel_id": "52686552"}, {"ref": "jianiancen/grid-search-twitter-classification-finetune", "kernel_id": "52736192"}, {"ref": "alexmariosimanjuntak/nlp-with-disaster-tweets-lstm", "kernel_id": "52280297"}, {"ref": "carloscll/manual-text-processing-disaster-tweets", "kernel_id": "52967604"}, {"ref": "haya10nods/baseline-debertav3-0-845xx", "kernel_id": "52422482"}, {"ref": "richolson/mistral-7b-prompt-recovery", "kernel_id": "52201762"}, {"ref": "enricopiffer/movie-review-sentiment-analysis", "kernel_id": "52043541"}, {"ref": "alkidiarete/nlp-with-passive-aggressive-classifier", "kernel_id": "52476571"}, {"ref": "anikethhhh/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "52735159"}, {"ref": "at1and/llama-from-scartch", "kernel_id": "52622145"}, {"ref": "at1and/fine-tune-bert-pytorch", "kernel_id": "52025720"}, {"ref": "shadesh/nlp-with-disaster-tweets-logistic-regression-appr", "kernel_id": "52238228"}, {"ref": "adends/commentary-on-bert-with-pytorch", "kernel_id": "52248985"}, {"ref": "egorandreasyan/nlp-with-disaster-tweets", "kernel_id": "52499219"}, {"ref": "umeshsharma03/disaster-prediction", "kernel_id": "52939826"}, {"ref": "rakhidhama/disaster-management", "kernel_id": "52939830"}, {"ref": "riteshrk/disaster-tweets-with-rnn", "kernel_id": "52039134"}, {"ref": "abdmental01/nlp-email-spam-detection-a-beginner-s-guide", "kernel_id": "52315767"}, {"ref": "dilssands/disaster-tweets", "kernel_id": "52840053"}, {"ref": "naveenapaleti/natural-language-processing-with-disaster-tweets", "kernel_id": "52029193"}, {"ref": "sonipritam/notebookccff299e2e", "kernel_id": "52399022"}, {"ref": "thilinawilliams/nlp-with-disaster-tweets", "kernel_id": "52440383"}, {"ref": "abdullahkhanuet22/tweets-classification-nltk-easy-to-understand", "kernel_id": "52944531"}, {"ref": "mkubina/disaster-tweets-1", "kernel_id": "52610326"}, {"ref": "wangxiaomingxxx/nlp-lab-homework-disaster-tweets-classification", "kernel_id": "52105397"}, {"ref": "wangxiaomingxxx/nlp-lab-homework-zero-shot", "kernel_id": "52323004"}, {"ref": "bruce1024/notebook9c37053c32", "kernel_id": "52402351"}, {"ref": "jackylpw/nlp-lab-tweet-disaster-classifier-with-bert", "kernel_id": "52500516"}, {"ref": "ardakshalkarbayuli/notebook-pytorch-myself", "kernel_id": "53502244"}, {"ref": "qwerty29544/transformers-gpt-bert", "kernel_id": "53906826"}, {"ref": "julichitai/bert-tfhub-disaster", "kernel_id": "53379258"}, {"ref": "tabassumnova/text-classification-using-flan-t5", "kernel_id": "53188804"}, {"ref": "asubasi/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "53408831"}, {"ref": "reko21/fine-tuning-bert-for-text-classification", "kernel_id": "53006543"}, {"ref": "juancruzalric/first-attempt-in-using-huggingface-with-nlp", "kernel_id": "53627184"}, {"ref": "ykhorrami/nlp-getting-started-tutorial", "kernel_id": "53670883"}, {"ref": "bunny11/nlp-disaster", "kernel_id": "53287142"}, {"ref": "mahmoudftolba/text-classification-with-encoder", "kernel_id": "53442913"}, {"ref": "odysseasarapellis/disastertweet-distilbert-base-uncased", "kernel_id": "53313149"}, {"ref": "carloseduardorm/language-processing-with-disaster-tweets", "kernel_id": "53402316"}, {"ref": "jakubszulc/ensembling-sklearn-models-with-distillbert", "kernel_id": "53393894"}, {"ref": "adnanbayu/stki-prepare-uts", "kernel_id": "53823973"}, {"ref": "reaperlethal/natural-language-processing-with-disaster-tweets", "kernel_id": "53839459"}, {"ref": "vishakhaagrawal14/pytorch-roberta-depression", "kernel_id": "53504355"}, {"ref": "alberbshara/nlp-with-disaster-on-twitter-from-scratch", "kernel_id": "53406702"}, {"ref": "shadesh/gemma2b-finetuned-pythonqa-with-disaster-tweets", "kernel_id": "53750191"}, {"ref": "prathamkumar0011/nlp-spamdetection", "kernel_id": "53647569"}, {"ref": "alamintokdershoukhin/tokenization-in-nlp", "kernel_id": "53429902"}, {"ref": "ahmed938ali/nlp-tweets", "kernel_id": "53480860"}, {"ref": "veronicazy/disaster-tweets-nlp-lstm", "kernel_id": "53941624"}, {"ref": "ayushtiwari2323/fast-text-bert-submission", "kernel_id": "53326655"}, {"ref": "nurhanuzun/tweets-nlp", "kernel_id": "53711230"}, {"ref": "tianchengchenziggy/notebook7df88a8797", "kernel_id": "53114304"}, {"ref": "marcinmc/data-cleaning-and-tfidf-bert-word2vec-own-bert", "kernel_id": "53824712"}, {"ref": "vingintilian/ridge-classification-model", "kernel_id": "53546847"}, {"ref": "vingintilian/random-forest", "kernel_id": "53555380"}, {"ref": "annaoliinychenko/nlp-with-disaster-tweets-classification", "kernel_id": "53303965"}, {"ref": "mkubina/disaster-tweets-2-xgboost", "kernel_id": "53103384"}, {"ref": "aaronfriasr/analysis-of-disaster-tweets-prediction", "kernel_id": "53659848"}, {"ref": "fedilansari/nlp-with-disaster-tweets", "kernel_id": "53967005"}, {"ref": "anushapotukuchi1999/disaster-prediction", "kernel_id": "53097701"}, {"ref": "varadkelkar02/disaster-tweet-classification-nlp", "kernel_id": "53793926"}, {"ref": "janiduayeshan/nlp-submission", "kernel_id": "53217015"}, {"ref": "sanoosmunawer/natural-language-processing-with-disaster-sanoos", "kernel_id": "53623491"}, {"ref": "fedorkaltiugin/nlp-kaltest", "kernel_id": "53301605"}, {"ref": "chaaaangyu/data-preprocessing-feature-engineering-tutorial", "kernel_id": "53338511"}, {"ref": "neuqsnail/open-llama-finetune-sequenceclassification", "kernel_id": "54318298"}, {"ref": "sapal6/from-zero-to-nlp-hero-learning-with-kaggle", "kernel_id": "54713355"}, {"ref": "nadezhda2019/imdb-prediction", "kernel_id": "54175624"}, {"ref": "dibkb9/disaster-tweets", "kernel_id": "54495783"}, {"ref": "tracyporter/disaster-tweets-tf-k-bilstm", "kernel_id": "54423171"}, {"ref": "sprojects18/nlp-disaster-tweets", "kernel_id": "54121347"}, {"ref": "akarshrastogi/nlp-tutorial", "kernel_id": "54311506"}, {"ref": "semipro/nlp-disaster-tweets-roberta-pytorch", "kernel_id": "54645082"}, {"ref": "devananjelito/detecting-disaster-from-tweets", "kernel_id": "54181256"}, {"ref": "scriech/cs772-project", "kernel_id": "54811097"}, {"ref": "aitchessbee/efficient-code", "kernel_id": "54188839"}, {"ref": "eraydikyololu/disastertweets", "kernel_id": "54012730"}, {"ref": "mukandkrishna/rnn-nlp-disaster-competition", "kernel_id": "54654313"}, {"ref": "abeshith/disater-tweets-classification", "kernel_id": "54919630"}, {"ref": "motoyachono/notebook12b909f647", "kernel_id": "54836094"}, {"ref": "tayyibi/lstm-natural-disaster-prediction-tweets", "kernel_id": "54667852"}, {"ref": "midominguez/nlp-disaster-tweets-eda-embeddings-models", "kernel_id": "54821152"}, {"ref": "ramoliyafenil/nlp-with-disaster-tweets", "kernel_id": "54625981"}, {"ref": "abinashsinghchu/nlp-tweets-classification-svm-ttfidfvectoriz", "kernel_id": "54871399"}, {"ref": "shaiksalman28/nlp-for-twitter", "kernel_id": "54879614"}, {"ref": "shivarthgangurde/competition-sub", "kernel_id": "54750110"}, {"ref": "andreynaligatskidias/natural-language-processing-with-disaster-tweets", "kernel_id": "54995277"}, {"ref": "prathamkumar0011/nlp-disastertweets", "kernel_id": "54087963"}, {"ref": "chetalipushkarna/using-logistic-regression", "kernel_id": "54577124"}, {"ref": "drkaggle22/nlp-tweets-classification-svm-tfidfvectorize", "kernel_id": "54777511"}, {"ref": "samarth199/nlp-tweets", "kernel_id": "54089947"}, {"ref": "hemanthhvv/getting-started-nlp-spacy-distilbert", "kernel_id": "54080545"}, {"ref": "hemanthhvv/starting-nlp-spacy-distilbert-v2", "kernel_id": "54424938"}, {"ref": "hemanthhvv/starting-nlp", "kernel_id": "54614293"}, {"ref": "samanvaysiddharth/nlpdisastertweeets101", "kernel_id": "54712829"}, {"ref": "saicharan2714/notebookd007cffba9", "kernel_id": "54048929"}, {"ref": "subho2026/nlp-with-disaster-tweets-dey", "kernel_id": "55983922"}, {"ref": "nadezhda2019/text-analysis", "kernel_id": "55872172"}, {"ref": "smithasmitha/notebook017433d69d", "kernel_id": "55010051"}, {"ref": "alyusama/sentiment-analysis-on-tweets", "kernel_id": "55707709"}, {"ref": "massimoca/disaster-tweets-classification-with-finetuned-bert", "kernel_id": "55476562"}, {"ref": "moonisj/disaster-tweet-classification-distilbert", "kernel_id": "55018933"}, {"ref": "mounaammali/kerasnlp-starter-notebook-disaster-tweets-mouna", "kernel_id": "55399073"}, {"ref": "abrahamajibade/disaster-tweets-classification", "kernel_id": "55992422"}, {"ref": "jianiancen/shallow-ml-twitter-classification", "kernel_id": "55243263"}, {"ref": "jianiancen/gemma-2b-twitter-classification", "kernel_id": "55248251"}, {"ref": "ericka42/prediction-of-tweets", "kernel_id": "55213683"}, {"ref": "hiteshraa/notebookfdbc0ad52f", "kernel_id": "55542368"}, {"ref": "zinebelhouz/nlp-with-disaster-tweets-beginner-friendly", "kernel_id": "55587650"}, {"ref": "ahmedmohsen410/tweet-classification", "kernel_id": "55547460"}, {"ref": "oezlem/nlp-with-disaster-tweets", "kernel_id": "55704920"}, {"ref": "mahdifaour/distilbert-for-sentiment-analysis", "kernel_id": "55343653"}, {"ref": "muski123/muskan", "kernel_id": "55190617"}, {"ref": "sauravdas07/disaster-nlp-modeling", "kernel_id": "55081769"}, {"ref": "gengaru/nlp-with-disaster-tweets-rf", "kernel_id": "55192141"}, {"ref": "ismailaitalimhamed/nlp-with-nltk-for-text-classification", "kernel_id": "55909139"}, {"ref": "sebastinazamaravils/nlp-tweets", "kernel_id": "55539014"}, {"ref": "holoen/use-vicuna-7b-v1-5", "kernel_id": "55898883"}, {"ref": "syerramilli/disaster-tweets-finetune-distilbert-transformers", "kernel_id": "56161218"}, {"ref": "kanishkakkanishka/nlp-tf-idf-randomforest", "kernel_id": "56393121"}, {"ref": "kartik70/nlp-notebook", "kernel_id": "56436840"}, {"ref": "arindm007/tweets-lstm-binary-classification", "kernel_id": "56119835"}, {"ref": "muhammadmagistra/nlp-disaster-tweets-lstm", "kernel_id": "56475977"}, {"ref": "ashhlou/fine-tuning-bert-for-text-classification", "kernel_id": "56831537"}, {"ref": "nandaprasetia/nlp-with-disaster-tweet-lstm", "kernel_id": "56305148"}, {"ref": "nandaprasetia/nlp-with-disaster-tweet-mlp", "kernel_id": "56317357"}, {"ref": "nandaprasetia/nlp-with-disaster-tweet-deep-transition", "kernel_id": "56987166"}, {"ref": "nandaprasetia/nlp-with-disaster-tweet-transformer", "kernel_id": "56986708"}, {"ref": "nandaprasetia/nlp-with-disaster-tweet-gru", "kernel_id": "56986331"}, {"ref": "nandaprasetia/nlp-with-disaster-tweet-cnn", "kernel_id": "56985912"}, {"ref": "nandaprasetia/nlp-with-disaster-tweet-glu", "kernel_id": "56985143"}, {"ref": "nandaprasetia/nlp-with-disaster-tweet-multi-head-attention", "kernel_id": "56836478"}, {"ref": "nandaprasetia/nlp-with-disaster-tweet-bilstm", "kernel_id": "56760284"}, {"ref": "iitm21f1006169/nlp-disaster-tweets", "kernel_id": "56437426"}, {"ref": "tariqcp/disaster-tweets-prediction-85-accuracy", "kernel_id": "56159736"}, {"ref": "antoinettetang/nlp-disaster-tweets-prediction-tf-idf", "kernel_id": "56294286"}, {"ref": "ahmedmohsen410/pretrained-models-ensembled", "kernel_id": "56849745"}, {"ref": "berkayozturkx/npl-with-disaster-tweets-prediction", "kernel_id": "56156005"}, {"ref": "proiz92/nlp-project-3", "kernel_id": "56708309"}, {"ref": "adrianasalcedo/distilbert-tf", "kernel_id": "56482926"}, {"ref": "desolationofsmaug/bert-classifier-83", "kernel_id": "56252688"}, {"ref": "ahammadmejbah/electra-text-based-prediction-for-disaster-tweets", "kernel_id": "56544747"}, {"ref": "safiyabanumoshark/disaster-tweet-analysis", "kernel_id": "56003072"}, {"ref": "adarshkchandel/tweets-lstm-binary-classification", "kernel_id": "56125053"}, {"ref": "myrazd/disaster-tweet-classification", "kernel_id": "56688038"}, {"ref": "narendrkumar/electra-text-based-prediction-for-disaster-tweets", "kernel_id": "57253011"}, {"ref": "prabalmukherjee/classification-disaster-tweet-multiple-classifier", "kernel_id": "57566638"}, {"ref": "mohannadaymansalah/testing-2", "kernel_id": "57202153"}, {"ref": "manas28/tweet-disaster-pytorch-lstm", "kernel_id": "57555730"}, {"ref": "mohamedaymanelzoka/nlp-get-started-comp", "kernel_id": "57871846"}, {"ref": "sakiiib/nlp-with-disaster-tweets", "kernel_id": "57728063"}, {"ref": "gulaiym119/nlp-getting-started-tutorial", "kernel_id": "57323236"}, {"ref": "raphealxu/nlp-glove-bert-tf-idf-lstm-expl-17e052", "kernel_id": "57357472"}, {"ref": "andreiuruev/nlp-with-keras-nlp-bert", "kernel_id": "57689072"}, {"ref": "javiersanhuezaa/notebook-gdp-testeo", "kernel_id": "57588363"}, {"ref": "leonalinlin/natural-language-processing-nlp-for-beginners", "kernel_id": "57010993"}, {"ref": "jeremyguo/nlp-disaster-tweets", "kernel_id": "58335543"}, {"ref": "tabualkher/nlp-preprocessing", "kernel_id": "58683611"}, {"ref": "dxq044/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "58501307"}, {"ref": "abdullatifkaban/nlp-with-disaster-tweets", "kernel_id": "58523756"}, {"ref": "rajahossain/text-data-analysis-with-disaster-tweets", "kernel_id": "58740196"}, {"ref": "ryotapy/learning-nlp", "kernel_id": "58419197"}, {"ref": "manaswiniguptaiiitl/notebook-nlp-0", "kernel_id": "58456264"}, {"ref": "fathimathanseeha/disaster-tweeets-classification", "kernel_id": "58828532"}, {"ref": "hindgassara/midterm-nlp-sentiment-analysis-imdb", "kernel_id": "58742782"}, {"ref": "draganpinsent98/nlp-disaster-tweets-r", "kernel_id": "58461717"}, {"ref": "levii2375/transformers-from-scratch-dl", "kernel_id": "58251696"}, {"ref": "damiandbx/disaster-tweets-val-acc-83", "kernel_id": "58515122"}, {"ref": "masoudmiyanji/efficient-text-classification-bert-and-fastai", "kernel_id": "58004497"}, {"ref": "at3191/natural-language-processing-with-disaster-tweets", "kernel_id": "59013992"}, {"ref": "devbhuyan/the-simplest-fastest-tweet-classifier", "kernel_id": "59396031"}, {"ref": "hikmetdevlet/1-natural-language-processing-with-disaster-tweet", "kernel_id": "59915433"}, {"ref": "papaji89989/bert-spacy-nltk", "kernel_id": "59185296"}, {"ref": "pavlobaranchuk/natural-language-processing-disaster-tweets", "kernel_id": "59445534"}, {"ref": "ruchikarani/nlp-with-disaster-tweets", "kernel_id": "59884952"}, {"ref": "ishanthapa/ishan-ml-disaster-pred", "kernel_id": "59592246"}, {"ref": "caokhoihuynh/detect-disaster-tweet", "kernel_id": "59654559"}, {"ref": "vinnyngo/nlp-disaster-tweets-distilbert-base-uncased", "kernel_id": "59028171"}, {"ref": "shuvokumarbasak4004/nlp4004", "kernel_id": "59665643"}, {"ref": "shaliniroycs/disaster-tweets-nlp", "kernel_id": "59275129"}, {"ref": "jamessuryaputra/tweetin-rubber", "kernel_id": "59531939"}, {"ref": "brahimy/disaster-tweets-nlp", "kernel_id": "59050164"}, {"ref": "sreevardhan17/notebook458d4a4f1a", "kernel_id": "59822308"}, {"ref": "abdulazizmuhammed98/disaster-tweets-1st-submission", "kernel_id": "59902907"}, {"ref": "vishalyginny/natural-language-processing", "kernel_id": "59717645"}, {"ref": "dmitrykonovalov/fastai-lesson4-getting-started-2024", "kernel_id": "60179819"}, {"ref": "sahil2105/notebookeaf4812985", "kernel_id": "60973027"}, {"ref": "vladbudya/laboratorna-6", "kernel_id": "60685821"}, {"ref": "gbiamgaurav/bert-for-rescue-predicting-disaster-tweets", "kernel_id": "60560557"}, {"ref": "aryaamin/disaster-tweets-classification", "kernel_id": "60691070"}, {"ref": "usmanshafeeqdit/tweet-classification-with-gradient-boosting", "kernel_id": "60567935"}, {"ref": "gamirandads/hugging-face-for-sentiment-analysis", "kernel_id": "60791611"}, {"ref": "ahmedemadeldeen/project-statistical-auto-correct-system", "kernel_id": "60584547"}, {"ref": "omarelg/disaster-tweets-classification-using-deberta-v3", "kernel_id": "60937685"}, {"ref": "anthonybokor/prac-5-part-2-nlp", "kernel_id": "60621481"}, {"ref": "trijeetbhandula/fastai-lesson4-getting-started-2024", "kernel_id": "60279033"}, {"ref": "vishalginni/nlp-with-classifiers", "kernel_id": "60141992"}, {"ref": "zain280/nlp-disaster-tweets-gradient-boosting", "kernel_id": "60510668"}, {"ref": "annaoliinychenko/lab-6", "kernel_id": "60817586"}, {"ref": "hexonhartleyjimenez/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "60179583"}, {"ref": "toms0o/fastai-lesson4-getting-started-2024", "kernel_id": "60780682"}, {"ref": "jinayvora25/classification-using-ml-models", "kernel_id": "60221806"}, {"ref": "talithariddiford/fork-of-fastai-lesson4-getting-started-with-nlp", "kernel_id": "60069140"}, {"ref": "johnsbijoy/fastai-lesson4-getting-started-2024", "kernel_id": "60659405"}, {"ref": "anthonyylee/lstm-tweets", "kernel_id": "61630563"}, {"ref": "mbmlearner/disaster-tweet-processing", "kernel_id": "61159864"}, {"ref": "alexsandroj/disaster-classification-using-bert", "kernel_id": "61679514"}, {"ref": "earlmontealegre/huggingface-tfbertmodel", "kernel_id": "61475158"}, {"ref": "daniyaakhmedova/dania-twitter-disaster-prediction", "kernel_id": "61670044"}, {"ref": "masoumehkhalilzadeh/nlp-with-disaster-tweets", "kernel_id": "61851587"}, {"ref": "sukhsimarsingh/nlp-disaster-tweets-distilbert-implementation", "kernel_id": "61102573"}, {"ref": "zeyadshahin/disaster-classification-using-bert", "kernel_id": "61575723"}, {"ref": "pavelfomin/nlp-huggingface-distilbert", "kernel_id": "61553147"}, {"ref": "omardatascience/disaster-tweets-eda-baseline-models-gridsearch", "kernel_id": "61262075"}, {"ref": "karthikreddy0101/disaster-tweets-classification", "kernel_id": "61809308"}, {"ref": "almaktashi/disaster-tweets-using-nlp", "kernel_id": "61674134"}, {"ref": "rkmllhwalther/vader-tweets-disaster", "kernel_id": "61747374"}, {"ref": "shivangkainthola/disaster-tweets-tinybert-distilbert", "kernel_id": "61767684"}, {"ref": "abdalrahminmohammed/tweets-classification-by-fine-tuning-bert", "kernel_id": "61307448"}, {"ref": "misonghua/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "61348246"}, {"ref": "yosefibrahim/natural-language-processing-with-disaster-tweets", "kernel_id": "61478743"}, {"ref": "yosefibrahim/debertav3", "kernel_id": "61539680"}, {"ref": "yosefibrahim/gemma", "kernel_id": "61521351"}, {"ref": "avicenne/notebook-tweet-disasters", "kernel_id": "61843215"}, {"ref": "shadesh/svm-tf-idf", "kernel_id": "61478407"}, {"ref": "shadesh/nlp-disaster-tweets-classification", "kernel_id": "61477564"}, {"ref": "muhamadagilfadila/disaster-tweet-classification", "kernel_id": "61676543"}, {"ref": "hiteshgtr/disaster-tweets-using-ensembling-techniques", "kernel_id": "61943084"}, {"ref": "vishalginni/nlp-pytorch", "kernel_id": "61343511"}, {"ref": "estellewwww/fastai-lesson4-getting-started-with-nlp-d5fa52", "kernel_id": "61687257"}, {"ref": "marukiiroha/fastai-lesson4-getting-started-with-nlp-c43fb2", "kernel_id": "61529898"}, {"ref": "marukiiroha/fastai-lesson4-getting-started-with-nlp-9a4fe0", "kernel_id": "61535674"}, {"ref": "huskydawg/fork-of-task2-fastai-lesson4-getting-started-with", "kernel_id": "61350342"}, {"ref": "huskydawg/task2-fastai-lesson4-getting-started-with-nlp", "kernel_id": "61335048"}, {"ref": "adiiifs/notebooke794dd3195", "kernel_id": "61698321"}, {"ref": "shazelp/tweets-classification-with-rnn", "kernel_id": "61290011"}, {"ref": "shazelp/tweets-classification-lstm", "kernel_id": "61404926"}, {"ref": "shazelp/tweets-classification-gru", "kernel_id": "61412036"}, {"ref": "shazelp/tweets-logisticregression-score-0-79", "kernel_id": "61421070"}, {"ref": "zisanmahmud/bert-finetuning-with-explainability-for-beginners", "kernel_id": "61939341"}, {"ref": "lqy231/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61334716"}, {"ref": "marcusreul/nlp-disaster-tweets", "kernel_id": "61991519"}, {"ref": "chiehyuchenjames/fastai-lesson4-2-getting-started-with-nlp", "kernel_id": "61700940"}, {"ref": "eithinzarphyo/fastai-lesson4-getting-started-with-nlp-1460e7", "kernel_id": "61344442"}, {"ref": "tensaiki/fork-of-fastai-lesson4-getting-started-with-nlp", "kernel_id": "61345584"}, {"ref": "guomike/mike-task2", "kernel_id": "61534928"}, {"ref": "kylescissons/nlp-getting-started", "kernel_id": "61714004"}, {"ref": "oliverrule/fastai-lesson4-getting-started-2024", "kernel_id": "61544441"}, {"ref": "rodrigomara/text-classification-using-naive-bayes-cuf", "kernel_id": "61321795"}, {"ref": "tin555/competition-disaster-tweets-nlp", "kernel_id": "61531876"}, {"ref": "dianabukeikhanova/fastai-lesson4-task2-disastertweets", "kernel_id": "61534692"}, {"ref": "nawmaythuhan/nlp-with-disaster-tweets", "kernel_id": "61532366"}, {"ref": "caoshaungli/natural-language-processing-with-disaster-tweets", "kernel_id": "61335075"}, {"ref": "baolinhvan/fork-of-fastai-lesson4-getting-started-with-nlp", "kernel_id": "61335056"}, {"ref": "tuandn97/fastai-lesson4-getting-started-with-nlp-34a5b9", "kernel_id": "61337795"}, {"ref": "voctorianora/fastai-lesson4-getting-started-with-nlp-010961", "kernel_id": "61345098"}, {"ref": "kuangziye/prac-5-task-2", "kernel_id": "61578558"}, {"ref": "kuangziye/prac-5-task-1", "kernel_id": "61529897"}, {"ref": "patricksssstar/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "61530664"}, {"ref": "jiehanli/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61529562"}, {"ref": "andrejonathan/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61531672"}, {"ref": "andrejonathan/task2-fastai-lesson4-nlp", "kernel_id": "61533382"}, {"ref": "takat2024/nn-bert-classifier-transformers-trainer-api", "kernel_id": "61397820"}, {"ref": "dmitrysolod/notebook4797b813e3", "kernel_id": "61671475"}, {"ref": "nekograph/kadai", "kernel_id": "61581612"}, {"ref": "shokiu/notebook9adef18d8c", "kernel_id": "61575301"}, {"ref": "gnuuuuu/notebook14b9302d0b", "kernel_id": "61582229"}, {"ref": "ayasemaru/notebook60a3abd78c", "kernel_id": "61582844"}, {"ref": "fujimotoyamato/notebookds2024fujimotoyamato", "kernel_id": "61998417"}, {"ref": "sakaiasato/notebookc04a8443d5", "kernel_id": "61584502"}, {"ref": "uenosho/notebook066bb6b1e7", "kernel_id": "61584217"}, {"ref": "takawakikenji/notebook0566375bc3", "kernel_id": "61582437"}, {"ref": "jnmmsk162/notebook81c785bd37", "kernel_id": "61581836"}, {"ref": "chihuiwen/notebookc7678551f5", "kernel_id": "61551872"}, {"ref": "ayumu8/notebook2eb11bbba4", "kernel_id": "61584368"}, {"ref": "wyj209/notebookwyj-test-1", "kernel_id": "61708512"}, {"ref": "chisatokamada/notebook2eb11bbba4", "kernel_id": "61581222"}, {"ref": "mikumikunishiteyanyo/notebook01099e6c89", "kernel_id": "61586030"}, {"ref": "yamaguchiyuki/notebookec56034f24", "kernel_id": "61581741"}, {"ref": "mkonosuke2002/natural-language-processing-with-disaster-tweets1", "kernel_id": "61599015"}, {"ref": "nabemotoasato/notebook0588b1fab8", "kernel_id": "61582111"}, {"ref": "uya10ars/datascience", "kernel_id": "61942490"}, {"ref": "natsukiii/notebook921fb2c081", "kernel_id": "61573083"}, {"ref": "tomisaka/notebook2fe5ef2c6e", "kernel_id": "61115641"}, {"ref": "adelkhadher/tweet-classification", "kernel_id": "61351249"}, {"ref": "upanshujain/nlp-disaster-tweets-gradient-boosting", "kernel_id": "61290185"}, {"ref": "ggxgboostgg/001-dr-nlp-embeddings", "kernel_id": "62657741"}, {"ref": "weimiaoou/kerasnlp", "kernel_id": "62603012"}, {"ref": "blade007/word2vec-101", "kernel_id": "62485856"}, {"ref": "tamnguyen1601/notebooke4273e5822", "kernel_id": "62375879"}, {"ref": "alexsandroj/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "62355780"}, {"ref": "alexsandroj/getting-started-with-kerasnlp-import-export-models", "kernel_id": "62357349"}, {"ref": "cyberkosatka/disaster-classification-with-bert-and-logreg", "kernel_id": "62384082"}, {"ref": "vineetkumar98/natural-language-processing-with-disaster-tweets", "kernel_id": "62091739"}, {"ref": "abhinavvijay/text-classification-using-flan-t5", "kernel_id": "62582627"}, {"ref": "raghavsuri/2348543-fine-tuning-bert-for-sentiment-analysis", "kernel_id": "62792476"}, {"ref": "shaunyoon/disaster-detection", "kernel_id": "62867910"}, {"ref": "ytty001/nlp-with-disaster-tweet-da", "kernel_id": "62526658"}, {"ref": "nikitaniktech/nlp-disaster-tweets-pytorch-gru", "kernel_id": "62897659"}, {"ref": "gkanamoto/nlp-debertav3-pytorch-base", "kernel_id": "62377040"}, {"ref": "beatrizjustino/lstm-disaster-tweets", "kernel_id": "62460006"}, {"ref": "shivamardeshna/classification-using-bertweet", "kernel_id": "62065616"}, {"ref": "k213331alizainsharif/notebookd47e9b877d", "kernel_id": "62657749"}, {"ref": "lordtenson/disaster-tweets-classification", "kernel_id": "62499881"}, {"ref": "aezersx/disaster-tweet-classification-using-bert", "kernel_id": "62266411"}, {"ref": "jedrzejgrabala/dtc-1", "kernel_id": "62651715"}, {"ref": "meapeze/nlp-training-project-c-disaster-tweets-submission", "kernel_id": "62440977"}, {"ref": "evelynartoria/solving-disaster-tweets-dataset-with-mlp-pytorch", "kernel_id": "62157821"}, {"ref": "evelynartoria/nlp-pytorch-custom-dataset-class-disaster-tweets", "kernel_id": "62153996"}, {"ref": "mohamedmaher5/disaster-tweets-binary-classification-nlp", "kernel_id": "62780997"}, {"ref": "kishore3914/text-data", "kernel_id": "62004592"}, {"ref": "desenli/disaster-tweet", "kernel_id": "62433452"}, {"ref": "alina911/disaster-tweets-classification", "kernel_id": "62351519"}, {"ref": "tetedunai/nlp-disaster-tweet-1", "kernel_id": "62262485"}, {"ref": "syedsalmanalizaidi/natural-language-processing-with-disaster-tweets", "kernel_id": "62436447"}, {"ref": "venkatshadeslayer/bert-task", "kernel_id": "62219740"}, {"ref": "adhul000/natural-language-processing-with-disaster-tweets", "kernel_id": "62218612"}, {"ref": "morifujinatsu/datascience", "kernel_id": "62803336"}, {"ref": "sillankumar/natural-disaster-tweet-using-nlp", "kernel_id": "62794495"}, {"ref": "manintangkunathan/nlp-with-tweet", "kernel_id": "62527065"}, {"ref": "shunya1216/notebook6318c22df8", "kernel_id": "62786709"}, {"ref": "kokomimi/nlp-with-disaster-tweet-da", "kernel_id": "62633547"}, {"ref": "gnuuuuu/notebook2eb11bbba4", "kernel_id": "62009696"}, {"ref": "tsuchidameishi/nlp-with-disaster-tweet-da", "kernel_id": "62708829"}, {"ref": "aru1009/notebookefc4821e76", "kernel_id": "62791381"}, {"ref": "k0110k/notebookd46e1d1635", "kernel_id": "62430663"}, {"ref": "palmpino/nn-bert-classifier-transformers-trainer-ap-27914f", "kernel_id": "62800805"}, {"ref": "miyamototaketarou/notebookf22f17b90b", "kernel_id": "62802304"}, {"ref": "catloveuoo/notebookd46e1d1635", "kernel_id": "62485212"}, {"ref": "catloveuoo/notebookf1dd410829", "kernel_id": "62947914"}, {"ref": "ayasemaru/notebook64ac891ae5", "kernel_id": "62805739"}, {"ref": "yamaaa5/notebook7f6161d1e0", "kernel_id": "62434399"}, {"ref": "xyt20010108/notebook79933a62cf", "kernel_id": "62435709"}, {"ref": "uenokotaro/nlp-with-disaster-tweet-da", "kernel_id": "62792275"}, {"ref": "ueta222/notebook511984cead", "kernel_id": "62517746"}, {"ref": "fukuchikaito/notebook39a7685a60", "kernel_id": "62792231"}, {"ref": "nagasakihinaru/notebookd1215e1b97", "kernel_id": "62636216"}, {"ref": "chihuiwen/notebook85f9a836dc", "kernel_id": "62421066"}, {"ref": "chihuiwen/notebook1069530e31", "kernel_id": "62429381"}, {"ref": "chihuiwen/notebook8d0fa6913c", "kernel_id": "62803961"}, {"ref": "ayumu8/notebook563e19a712", "kernel_id": "62010830"}, {"ref": "wyj209/notebook-wyj209111111", "kernel_id": "62965625"}, {"ref": "yuki6980/notebook9c642fe13e", "kernel_id": "62013388"}, {"ref": "kk41021009/notebookd46e1d1635", "kernel_id": "62543386"}, {"ref": "kk41021009/notebook8c2f712cdf", "kernel_id": "62801768"}, {"ref": "yamaguchiyuki/notebook01366b308b", "kernel_id": "62804742"}, {"ref": "yasukawatakumi/notebook9efbcb92e6", "kernel_id": "62435460"}, {"ref": "taniyayuki/notebookbb7ebb8c9c", "kernel_id": "62431983"}, {"ref": "taniyayuki/notebooke5a1eaf6cb", "kernel_id": "62196674"}, {"ref": "taniyayuki/notebook81c785bd37", "kernel_id": "62805450"}, {"ref": "hepeijin/notebookd46e1d1635", "kernel_id": "62971974"}, {"ref": "hepeijin/notebook631594f1d2", "kernel_id": "62973131"}, {"ref": "sy1517/notebookc9d4ec2326", "kernel_id": "62786827"}, {"ref": "iwataatsushi/nlp-with-disaster-tweet-da", "kernel_id": "62704991"}, {"ref": "yuth0917/notebook9adef18d8c-4e0058", "kernel_id": "62979712"}, {"ref": "yuth0917/notebook0729", "kernel_id": "62980931"}, {"ref": "yuth0917/notebook25f527f890", "kernel_id": "62982223"}, {"ref": "my0815/notebookd1215e1b97", "kernel_id": "62518050"}, {"ref": "linweiren/nlp-with-disaster-tweet-da-ed58e5", "kernel_id": "62800793"}, {"ref": "catthanpeople/notebook02c0731e68", "kernel_id": "62009758"}, {"ref": "catthanpeople/notebookb6e3d55a46", "kernel_id": "62801992"}, {"ref": "nishioryosuke/notebook-datascience2", "kernel_id": "62794437"}, {"ref": "tomisaka/notebook1d597b27a3", "kernel_id": "62433860"}, {"ref": "naichuuchou/notebookd6642f0d97", "kernel_id": "62791478"}, {"ref": "haaa1021/datascience", "kernel_id": "62802972"}, {"ref": "ahmetgkt/disaster-prediction-using-bert", "kernel_id": "62529644"}, {"ref": "ahmedarafat22/nlp-with-disaster-tweets-using-word2vec-glove-tfid", "kernel_id": "62663913"}, {"ref": "amying04/nlp-disaster-tweets-nlp-random-forest", "kernel_id": "63574941"}, {"ref": "dejokz/bert-and-its-variants", "kernel_id": "63018392"}, {"ref": "raashii/naive-bayes", "kernel_id": "63522277"}, {"ref": "ahsenwaheed/xgb-svc-nlp-implementation", "kernel_id": "63465378"}, {"ref": "rafaelrangel/natural-language-processing-with-disaster-tweets", "kernel_id": "63025826"}, {"ref": "pavelkopka/nlp-tweets", "kernel_id": "63547063"}, {"ref": "nurulsakinah/nlp-disaster-tweets-preprocessing", "kernel_id": "63369740"}, {"ref": "nikitaniktech/nlp-disaster-tweets-pytorch-bert", "kernel_id": "63579986"}, {"ref": "hossamgno/disaster-tweets", "kernel_id": "63902016"}, {"ref": "lindolfocavalcanti/simple-solution-natural-language-tweets-r", "kernel_id": "63183641"}, {"ref": "abdoelgazar/nlp-with-tweets-disaster", "kernel_id": "63986795"}, {"ref": "k213331alizainsharif/nlp-with-disaster-tweets", "kernel_id": "63022828"}, {"ref": "likhithv02/notebookcf7d9fd6a4", "kernel_id": "63032602"}, {"ref": "youssefhassan1234/disaster-tweets", "kernel_id": "63987851"}, {"ref": "abhishekjain117/bert-ipynb", "kernel_id": "63600539"}, {"ref": "omshankarthakur/logistic-regression-0-465", "kernel_id": "63141858"}, {"ref": "amazingfacts234/natural-language-processing-with-disaster-tweets", "kernel_id": "63430299"}, {"ref": "moemnelhalose/bert-transformers", "kernel_id": "63048887"}, {"ref": "michaelgrybko/disastertweetsnlp", "kernel_id": "63379996"}, {"ref": "ethanjychen/disaster-tweets", "kernel_id": "63116411"}, {"ref": "madhusudanhasbe/nlp-disaster-notebook", "kernel_id": "63368899"}, {"ref": "mariamali1/nlp-tweet-disaster", "kernel_id": "63091067"}, {"ref": "sathishgsmss/binary-classification-nlp", "kernel_id": "63108381"}, {"ref": "ghyaaskhalil/nlp-disaster-tweet", "kernel_id": "63500445"}, {"ref": "ilkergungor/nlp-tweets-eda-fe-regex-glove-bert-n-grams-torch", "kernel_id": "63639828"}, {"ref": "abdulrhmaneldeeb/disaster-tweets-classification", "kernel_id": "63817702"}, {"ref": "zhouhanwei/fork-of-fastai-lesson4-getting-started-with-nlp", "kernel_id": "63656513"}, {"ref": "manonjacquin/nlp-with-disaster-tweets-competition", "kernel_id": "63562193"}, {"ref": "mitul1999/disaster-tweets-npl", "kernel_id": "63174668"}, {"ref": "paulojunqueira/tweet-disaster-classification-deberta-train-infer", "kernel_id": "64505524"}, {"ref": "paulojunqueira/it-ticket-classification-llama-3-1", "kernel_id": "64837636"}, {"ref": "danielfilippov/transformer-text-classification", "kernel_id": "64224377"}, {"ref": "muhammadtalharasool/disaster-tweets-nlp-analysis", "kernel_id": "64309706"}, {"ref": "epoch10/nlp-disaster-tweets", "kernel_id": "64188815"}, {"ref": "maulanawirayudha/nlp-disaster-logistic-regression", "kernel_id": "64470566"}, {"ref": "lxy12345689/tweetsdisaster", "kernel_id": "64892403"}, {"ref": "kyleakepanidtaworn/dtsa5511-nlp-disastrous-tweets", "kernel_id": "64398449"}, {"ref": "laurenainsleyhaines/tweet-classification-with-randomforestclassifier", "kernel_id": "64970631"}, {"ref": "he186309trungkin/knowledge-graph", "kernel_id": "64801553"}, {"ref": "pawan1006/nlp-disaster-tweet-classify", "kernel_id": "64265027"}, {"ref": "nabeelparuk/nlp-disaster-tweet-sentiment-analysis", "kernel_id": "64227250"}, {"ref": "zjzhao1002/nlp-disaster-tweets", "kernel_id": "64280598"}, {"ref": "pablomrquezbentez/nlp-disaster-blop1", "kernel_id": "64654291"}, {"ref": "dipit099/nlp-with-disaster-tweets-pytorch-huggingface", "kernel_id": "64427491"}, {"ref": "michaeltoschenko/solution-with-sgd-and-knn", "kernel_id": "64192617"}, {"ref": "dazhengzhu/nlp-with-disaster-tweets", "kernel_id": "64975246"}, {"ref": "aryagokh/tweets-bert-0-835-f1", "kernel_id": "64231105"}, {"ref": "aryagokh/disaster-tweets-bert-0-835score", "kernel_id": "64070935"}, {"ref": "shifakhan02/notebookc8d2176649", "kernel_id": "64881725"}, {"ref": "matrixvoyager/hf-roberta-base", "kernel_id": "64237788"}, {"ref": "marat102/dl5-disaster-nlp", "kernel_id": "65450120"}, {"ref": "marat102/dl4-birnn-lstm", "kernel_id": "65446535"}, {"ref": "manojajj/svm-classifier-accuracy-78-73-f1-score-74-33", "kernel_id": "65967097"}, {"ref": "manojajj/random-forest-classifier-f1-score-72", "kernel_id": "65967680"}, {"ref": "manojajj/logistic-regression-accurate", "kernel_id": "65966673"}, {"ref": "manojajj/naive-bayes-classification", "kernel_id": "65927831"}, {"ref": "manojajj/pytorch-solution-accuracy-74-39", "kernel_id": "65997374"}, {"ref": "at3191/nlp-w-disaster-tweets", "kernel_id": "65058788"}, {"ref": "at3191/nlp-for-disaster-twitter-0-77-score", "kernel_id": "65060374"}, {"ref": "longgamma/disaster-tweets-classification-baby-steps", "kernel_id": "65100869"}, {"ref": "irvifa/natural-language-processing-with-disaster-tweets", "kernel_id": "65934983"}, {"ref": "haobo8/classify-disaster-charcter-by-charcter", "kernel_id": "65443822"}, {"ref": "danielfilippov/fine-tune-bert-for-binary-classification-82", "kernel_id": "65387508"}, {"ref": "radhikamirani/natural-language-processing-with-disaster-tweets", "kernel_id": "65706977"}, {"ref": "jhalaktyagi/nlp-with-disaster-tweets", "kernel_id": "65679949"}, {"ref": "babydriver1233/nlp-with-disaster-tweets", "kernel_id": "65171281"}, {"ref": "babydriver1233/natural-language-processing-with-disaster-tweets", "kernel_id": "65170441"}, {"ref": "rezilobzhanidze/nlp-processing-glove-use-bert", "kernel_id": "65369190"}, {"ref": "naveensadanandan/simple-disaster-tweet-classification-bert-pytorch", "kernel_id": "65394425"}, {"ref": "advaitmenon/disaster-prediction-using-word2vec", "kernel_id": "65228031"}, {"ref": "rozeqz/disaster-tweets-with-bert-and-svm", "kernel_id": "65447861"}, {"ref": "k213331alizainsharif/bert-for-tweets-classification", "kernel_id": "65403706"}, {"ref": "archismancoder/nlp-with-disastertweets-deberta-v3-torch-ray", "kernel_id": "65026601"}, {"ref": "tasneemmidhat/nlpwithdisastertweets", "kernel_id": "65560838"}, {"ref": "carloscll/disaster-tweets-with-hugging-face-transformers", "kernel_id": "65239763"}, {"ref": "giovannidelsoto/nlp-disaster-tweets", "kernel_id": "65183413"}, {"ref": "mistydragon/distilbert-fine-tuning", "kernel_id": "65328602"}, {"ref": "mistydragon/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "65205769"}, {"ref": "simbarashemutyambizi/nlp-with-disaster-tweets", "kernel_id": "65176794"}, {"ref": "lxy12345689/summer-work1", "kernel_id": "65081077"}, {"ref": "memoonabasharat/tweet-analysis-nlp", "kernel_id": "65071587"}, {"ref": "ilayeesade/natural-language-processing-tweets-distilbert", "kernel_id": "65964712"}, {"ref": "rayuga2503/natural-language-processing-with-disaster-xgboost", "kernel_id": "65810094"}, {"ref": "mitryboss/dl4-birnn-lstm", "kernel_id": "65687609"}, {"ref": "iammalaika/tweet-disaster", "kernel_id": "65862993"}, {"ref": "anshsinghsonkhia/disaster-tweet-analysis-using-nlp", "kernel_id": "65572268"}, {"ref": "peixinge/summer-work1", "kernel_id": "65103198"}, {"ref": "hammadnasir12/disaster-tweets", "kernel_id": "65276448"}, {"ref": "jyotichauhands/notebook7e802ef2fa", "kernel_id": "65159278"}, {"ref": "irudunoghenaosiseh/nlp-with-disaster-tweets", "kernel_id": "65559551"}, {"ref": "ghanatheyakashkumar/roberta-base-en", "kernel_id": "65509955"}, {"ref": "josephtk/disaster-tweets-classification-using-bert", "kernel_id": "65446503"}, {"ref": "abhisheksohanjanjal/disaster-tweets", "kernel_id": "65712724"}, {"ref": "gracekoehler/draft-one", "kernel_id": "65232028"}, {"ref": "thanhikam/natural-language-processing-nlp-for-beginners", "kernel_id": "65389152"}, {"ref": "pardeep19singh/llama3-2-3b-83-1-on-disaster-tweets", "kernel_id": "66566226"}, {"ref": "pardeep19singh/fine-tune-llama3-2-1b-83-4-on-disaster-tweets", "kernel_id": "66558307"}, {"ref": "manojajj/distilbert-base-uncased", "kernel_id": "66001191"}, {"ref": "seyong73/identifying-real-disasters-with-transformers", "kernel_id": "66802074"}, {"ref": "shubhadip45/disaster-tweets-prediction", "kernel_id": "66521907"}, {"ref": "hzihimel/disastrous-notebook-pytorch", "kernel_id": "66262272"}, {"ref": "swarnabh31/nlp-disastertweets-bert", "kernel_id": "66709322"}, {"ref": "dnyaneshwalwadkar/llama3-2-3b-training-inference", "kernel_id": "66662018"}, {"ref": "indeedinspiring/nlp-getting-started-tutorial", "kernel_id": "66052467"}, {"ref": "ismetsemedov/natural-language-processing-with-disaster-tweets", "kernel_id": "66079423"}, {"ref": "anshuman02905/nlp-disaster", "kernel_id": "66507689"}, {"ref": "leshastepanov/twitter-disaster-w-xgboost-eda-cleaning", "kernel_id": "66577356"}, {"ref": "ahmedosman5/kerasnlp", "kernel_id": "66760716"}, {"ref": "abdelmoneimrehab/baseline-models-use-pretrained-model", "kernel_id": "66407230"}, {"ref": "wolfario/nlp-tweet-disaster-with-bert", "kernel_id": "66884118"}, {"ref": "ismail89/natural-language-processing-with-disaster-tweets", "kernel_id": "66400955"}, {"ref": "vivekkmr07/natural-language-processing-with-disaster-tweets", "kernel_id": "66371292"}, {"ref": "clemwo/competition-nlp-with-disaster-tweets", "kernel_id": "66034808"}, {"ref": "younghweee/distilbert-base", "kernel_id": "66757188"}, {"ref": "junkie75/disaster-or-not-easy-to-understand", "kernel_id": "66489404"}, {"ref": "austinpaul5/notebookcbd309fd0f", "kernel_id": "66976617"}, {"ref": "muhammadasifwazir/fine-tunig-bert-for-twitter-sentiment-classificati", "kernel_id": "66595243"}, {"ref": "nasifahmednafi/disastertweet-bracu-24", "kernel_id": "66767883"}, {"ref": "poojakuniyal/nlp-diasater-tweet-identification", "kernel_id": "66071158"}, {"ref": "keyushnisar/nlp-basics", "kernel_id": "66860377"}, {"ref": "saisameer2457/nlp-disaster-tweet-prediction", "kernel_id": "66336804"}, {"ref": "jvanark/tweetclassifcation-using-multinomial-bayes-logr", "kernel_id": "66402685"}, {"ref": "yashhvardhan/tweet-emotions-analysis-using-lstm-glove-roberta", "kernel_id": "66409353"}, {"ref": "grainier/natural-language-processing-with-disaster-tweets", "kernel_id": "66640395"}, {"ref": "kavinnan/all-models-classification", "kernel_id": "66184765"}, {"ref": "aryagokh/fine-tune-sentiment-analysis-pytorch", "kernel_id": "66815102"}, {"ref": "shadowpgp/nlp-tweets", "kernel_id": "66530814"}, {"ref": "qingxiuding/word2vec-svc-and-cnn-bilstm-on-disaster-tweets", "kernel_id": "66331501"}, {"ref": "enzoonofre/notebook-tweets", "kernel_id": "66008963"}, {"ref": "asgharqamberrizvi/tweet-classification", "kernel_id": "66945130"}, {"ref": "sanchitadevi/kaggle-competition-disaster-tweets", "kernel_id": "66405272"}, {"ref": "canhuseyin/nlp-getting-started-tutorial", "kernel_id": "66994310"}, {"ref": "akshaypatil11/natural-language-processing-with-disaster-tweets", "kernel_id": "67150145"}, {"ref": "katsumikanasaki/baseline-with-transformer", "kernel_id": "67065838"}, {"ref": "hinepo/eda-via-topic-modeling-tweets", "kernel_id": "67358102"}, {"ref": "lonnieqin/transformer-based-text-classifier-from-scratch", "kernel_id": "67043146"}, {"ref": "kmjoshi8/disaster-prediction-nlu", "kernel_id": "67205091"}, {"ref": "harshavardhane/gpt-2-with-huggingface-pytorch", "kernel_id": "67885850"}, {"ref": "aliosmanbayku/bert-model-based-disaster-tweets-prediction", "kernel_id": "67577720"}, {"ref": "firdavssultonov/nlp-tweet-disasters", "kernel_id": "67837426"}, {"ref": "asemmustafa/fake-news-detection-classification-modeling", "kernel_id": "67263622"}, {"ref": "omidsakaki1370/nlp-with-ml-dl-fine-tuning-bert", "kernel_id": "67197754"}, {"ref": "willingtodev/contribution-nlp-with-disaster-tweets", "kernel_id": "67853956"}, {"ref": "nikitazhilyakov/nlp-disaster-pred-bytweet", "kernel_id": "67177418"}, {"ref": "d3stron/minilstm-impl-of-were-rnns-all-we-needed", "kernel_id": "67282263"}, {"ref": "fariafarzanamukta/natural-language-processing", "kernel_id": "67366101"}, {"ref": "ragrit/competition1", "kernel_id": "67180893"}, {"ref": "kawataakimoto/disaster-tweets-with-bert", "kernel_id": "67611729"}, {"ref": "somaia03/disaster-tweets-nlp", "kernel_id": "67333458"}, {"ref": "dingggggg/natural-language-processing-with-disaster-tweets", "kernel_id": "67325178"}, {"ref": "aneyasobalkar/disaster-tweets-with-lstm-model", "kernel_id": "67061213"}, {"ref": "ganeshgaikwad1/use-disaster", "kernel_id": "67467242"}, {"ref": "aslemimolu/natural-language-processing-with-disaster-tweets", "kernel_id": "67135647"}, {"ref": "mathomj/fine-tune-bert", "kernel_id": "67178760"}, {"ref": "vladislavlassa/qwen3-embedding-lora", "kernel_id": "67059382"}, {"ref": "paulkangusc/natural-language-processing-with-disaster-tweets", "kernel_id": "67192384"}, {"ref": "reciclador/natural-disaster-tweeter", "kernel_id": "67124199"}, {"ref": "vinothkumarsekar89/nlp-disaster-tweets-bert", "kernel_id": "67898708"}, {"ref": "syedmuhammadahmed/nlpnotebook", "kernel_id": "68418511"}, {"ref": "anup7695/glove-embeddings-lstm-network", "kernel_id": "68914496"}, {"ref": "kjoonha/disaster-tweets-part-1", "kernel_id": "68578345"}, {"ref": "mayayevnin/text-classification-with-llms", "kernel_id": "68345588"}, {"ref": "clayton21/vanilla-transformer-encoder-pytorch", "kernel_id": "68282465"}, {"ref": "preyanka/natural-language-processing-nlp-for-beginners", "kernel_id": "68645168"}, {"ref": "zeinebhachaichi/classification-of-tweets", "kernel_id": "68752127"}, {"ref": "voidcapri/bidirectional-lstm-to-find-disaster-tweets", "kernel_id": "68260037"}, {"ref": "muhammadalihanafi/kelompok-1-natural-language-processing-wdt", "kernel_id": "68020279"}, {"ref": "giuseppeschintuutk/cosc523-group9-m7-14-tweets", "kernel_id": "68877797"}, {"ref": "iiipagin/54321", "kernel_id": "68848019"}, {"ref": "nevilpatel/disaster-tweet-classification-using-scikit-learn", "kernel_id": "69846744"}, {"ref": "ahsannawazch/0-72-phi-3-5-mini-without-fine-tune", "kernel_id": "69212070"}, {"ref": "kjoonha/disaster-tweets-part-2", "kernel_id": "69947153"}, {"ref": "danielfilippov/finetune-roberta-disaster-twitter-classification", "kernel_id": "69309785"}, {"ref": "yajnaab/roberta-model-on-disaster-tweets", "kernel_id": "69912897"}, {"ref": "kushsheth/fine-tuning-bert-for-text-classification", "kernel_id": "69833560"}, {"ref": "ashioyajotham/disaster-tweets-prediction", "kernel_id": "69942746"}, {"ref": "aadyasingh55/tweet", "kernel_id": "69669248"}, {"ref": "rumayzanorova/disaster-tweet-classification-with-nlp-techniques", "kernel_id": "69745366"}, {"ref": "yijiamacs/post-disaster-alert-system-through-social-signals", "kernel_id": "69223565"}, {"ref": "kamal2026/tiny-transformer-finetuning-0-80631", "kernel_id": "69901022"}, {"ref": "saivinayakula/nlp-tweet", "kernel_id": "69396757"}, {"ref": "terence888/disaster-tweets-with-bert-by-chanmuzi", "kernel_id": "69341025"}, {"ref": "alperugurca/natural-language-processing-with-disaster-tweets", "kernel_id": "69251426"}, {"ref": "seifali432/top-100-disaster-tweets-begginer-bert-v-high-score", "kernel_id": "69955578"}, {"ref": "tshinya1120/nlpwdt-v1", "kernel_id": "69848328"}, {"ref": "vickystutter/natural-language-processing-with-disaster-tweets", "kernel_id": "69941987"}, {"ref": "radhakadam7/nlp-with-disaster-radha-kadam", "kernel_id": "69969947"}, {"ref": "tengxiaoluo/bertnlp", "kernel_id": "69322969"}, {"ref": "saicourse/sai-6-disaster-tweets-classification-with-nlp", "kernel_id": "69255014"}, {"ref": "mireiamartinez/natural-language-processing-with-disaster-tweets", "kernel_id": "69513607"}, {"ref": "mireiamartinez/an-lisis-de-emergencias-en-tweets", "kernel_id": "69524489"}, {"ref": "mireiamartinez/classification-of-tweets", "kernel_id": "69442111"}, {"ref": "manutorresdev/nlp-with-disaster-tweets-es", "kernel_id": "69517803"}, {"ref": "yogeshtyagi/basic-nlp-on-disaster-tweets", "kernel_id": "70799194"}, {"ref": "umamaheshballa/notebook4615ab7fc9", "kernel_id": "70764608"}, {"ref": "xbrunocruzx/disaster-tweets-classification", "kernel_id": "70580415"}, {"ref": "zainabhaiderr/llama-3-2-1b-3b", "kernel_id": "70192298"}, {"ref": "wojciechgrotkiewicz/nlp-with-naive-bayes-disaster-tweets", "kernel_id": "70285204"}, {"ref": "voloshchukoleg/6-fine-tuning-bert-for-text-classification", "kernel_id": "70509210"}, {"ref": "naifasiri/data-augmentation-in-nlp-using-nlpaug", "kernel_id": "70051629"}, {"ref": "dem0nsl4yer/nlp-disaster-tweets-project", "kernel_id": "70744405"}, {"ref": "ashutosh598/disaster-tweets-nlp", "kernel_id": "70897918"}, {"ref": "andikhalil/part-5-n-grams", "kernel_id": "70567895"}, {"ref": "jaxa623/bert-lstm-classification-with-pytorch-lightning", "kernel_id": "70149170"}, {"ref": "marshalpatel3558/natural-language-processing-with-disaster-tweets", "kernel_id": "70981016"}, {"ref": "mikhailshuqin/nlp-2", "kernel_id": "70931880"}, {"ref": "kodaifukuda0311/disaster-tweets-classification-with-rnn-and-cnn", "kernel_id": "70031307"}, {"ref": "kolesovdmitry/kolesov-nlp-getting-started", "kernel_id": "70715512"}, {"ref": "bttqbelpw/sai-6-disaster-tweets-classification-with-nlp", "kernel_id": "70036584"}, {"ref": "chrisgoff27/notebooke761f36d40", "kernel_id": "70505130"}, {"ref": "tseeley/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "70821303"}, {"ref": "corneliusrising/notebookb2e0d96de8", "kernel_id": "71362622"}, {"ref": "kjoonha/introduction-disaster-tweets-part-2", "kernel_id": "71788927"}, {"ref": "kjoonha/introduction-disaster-tweets-part-1", "kernel_id": "71787409"}, {"ref": "marikali/disaster-tweet-or-not", "kernel_id": "71159780"}, {"ref": "kaop11/nlp-with-diastertweets", "kernel_id": "71390765"}, {"ref": "ilyazored/disaster-tweets-nlp-with-bert", "kernel_id": "71699063"}, {"ref": "jacopoferretti/nlp-disaster-tweets-with-transformers", "kernel_id": "71946619"}, {"ref": "rafaelgomeslucena/natural-language-processing-with-disaster-tweets", "kernel_id": "71507989"}, {"ref": "hejuncheung/nlp-demo1", "kernel_id": "71173370"}, {"ref": "dhhoha/basemethod", "kernel_id": "71286568"}, {"ref": "sourav2083/disaster-tweet-for-beginners", "kernel_id": "71909234"}, {"ref": "bilgejinnen/tweet2action-disaster-response-nlp", "kernel_id": "71242779"}, {"ref": "anjuk1chauhan/natural-language-processing-with-disaster-tweets", "kernel_id": "71962947"}, {"ref": "dzxczc/naive-bayes-classifier-dat", "kernel_id": "71284576"}, {"ref": "fathurrdja/notebook1070b27025", "kernel_id": "71097191"}, {"ref": "aderikamaulinnafsih/ade-rika-maulinnafsih-60200122020-b", "kernel_id": "71095980"}, {"ref": "muhanwarsyafriawan/nlp-n-gram-b", "kernel_id": "71095492"}, {"ref": "prakashaman2947/notebook2ddda12562", "kernel_id": "71843330"}, {"ref": "fern027/naive-bayes-and-others", "kernel_id": "71106213"}, {"ref": "taheriodgewala/nlp-with-tf-idf-and-logistic-regression", "kernel_id": "71898753"}, {"ref": "nurul600200122013/nlp-n-gram", "kernel_id": "71198458"}, {"ref": "dheamirnaardelia/prak-5-nlp", "kernel_id": "71097353"}, {"ref": "khadijahkurniawati/nlp-069", "kernel_id": "71096315"}, {"ref": "sevter/andi-aulia-ilmi-b", "kernel_id": "71163743"}, {"ref": "entri16/pertemuan5-nlp", "kernel_id": "71095907"}, {"ref": "azzahrahasan/azzahra-hasan-b-n-gram", "kernel_id": "71095973"}, {"ref": "padlep0p11/muh-fadel-60200122074-b", "kernel_id": "71096401"}, {"ref": "ekayuni/eka-yuni-sartika", "kernel_id": "71222230"}, {"ref": "manishanand9430/disaster-tweet", "kernel_id": "71926550"}, {"ref": "aprilahpuspitasari/aprilah-puspitasari-c", "kernel_id": "71535165"}, {"ref": "supplejade/nlp-basic-preprocess-starter-with-ml-model", "kernel_id": "72339121"}, {"ref": "paulojunqueira/classic-nlp-methods-revision", "kernel_id": "72172602"}, {"ref": "aftabashrafav/nlp-disaster-tweets", "kernel_id": "72674275"}, {"ref": "systemroomprint16/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "72297143"}, {"ref": "haidytalaat/prediction-disaster-using-tweets-text", "kernel_id": "72766361"}, {"ref": "mariammohamed9/notebook0968a48587", "kernel_id": "72729594"}, {"ref": "justinasjuas/bdi-notebook", "kernel_id": "72006859"}, {"ref": "mkubina/disaster-tweets-na-ve-bayes-and-bag-of-words", "kernel_id": "72706691"}, {"ref": "ragulthiagarajan/roberta-emotion", "kernel_id": "72686071"}, {"ref": "anishvijay/nlp-with-disaster-tweets", "kernel_id": "72239210"}, {"ref": "vredniylumbert/pahomov-lab-2", "kernel_id": "72866335"}, {"ref": "fatmaalsyed/disaster-prediction-in-tweets-data", "kernel_id": "72184893"}, {"ref": "raj3006/nlp-with-disaster-tweets-with-transformers", "kernel_id": "72557701"}, {"ref": "aashutosh786/lstm-integer-encoding", "kernel_id": "73992331"}, {"ref": "mehmetakifciftci/robust-nlp-approach", "kernel_id": "73198786"}, {"ref": "samehanasr/binary-classification-forget-about-bert", "kernel_id": "73500970"}, {"ref": "aryanlakhani/gb656", "kernel_id": "73122615"}, {"ref": "aryanlakhani/notebook70201829a2", "kernel_id": "73121465"}, {"ref": "apoorvgiriya/disasternlp-competition", "kernel_id": "73033850"}, {"ref": "ksukhafi/text-classif-distilbert-fine-tuning-tf", "kernel_id": "73031525"}, {"ref": "asasun/team7-dmbiui24", "kernel_id": "73336033"}, {"ref": "nitinsinghal9507/code-tweets", "kernel_id": "73696804"}, {"ref": "goldaaureliasilalahi/team7-dmbiui24", "kernel_id": "73335359"}, {"ref": "keladya/team5-dmbiui24", "kernel_id": "73334249"}, {"ref": "farahprakasa/team2-dmbiui24", "kernel_id": "73068431"}, {"ref": "daffataufik/kelompok-9-datmin-b-text-mining", "kernel_id": "73330464"}, {"ref": "najwaputrif/text-mining-team-8-dmbiui24", "kernel_id": "73325289"}, {"ref": "egorandreasyan/eda-baseline-and-rnn-nlp-disaster-tweets", "kernel_id": "73272929"}, {"ref": "hutariandn/team-1-cs6-dmbiui24", "kernel_id": "73334611"}, {"ref": "nadirae25/team4-dmbiui24", "kernel_id": "73210486"}, {"ref": "christinajoslin/distilbert-disaster-tweet-classifier", "kernel_id": "73743352"}, {"ref": "matteobelletti89/twitter-disaster-detection-with-roberta-xgboost", "kernel_id": "73539341"}, {"ref": "mkubina/disaster-tweets-neural-model", "kernel_id": "73941386"}, {"ref": "hanifiyyadyah/kelompok-9-datmin-b-text-mining", "kernel_id": "73335049"}, {"ref": "alamsyahfaad/team6-dmbiui24", "kernel_id": "73142891"}, {"ref": "godlhardhit/disaster-tweets", "kernel_id": "73851643"}, {"ref": "amirashhf/team3-dmbiui24-nlp-case", "kernel_id": "73333741"}, {"ref": "ghaithzaza/nlp-with-disaster-tweets-roberta", "kernel_id": "73328769"}, {"ref": "erickvebo/nlp-bert-prediction", "kernel_id": "73444661"}, {"ref": "erickvebo/nlp-model-svc", "kernel_id": "73404726"}, {"ref": "erickvebo/nlp-model-logistic-regression", "kernel_id": "73372176"}, {"ref": "alexeybobrovitsky/lr2-bobrovitskiy", "kernel_id": "73574404"}, {"ref": "madaoao/nlp-disaster-tweet", "kernel_id": "73549865"}, {"ref": "vijaykilaru/notebookc07c18d3ef", "kernel_id": "73180039"}, {"ref": "bohdanchernysh/bert-top-10", "kernel_id": "73096679"}, {"ref": "estebancastroflores/clasificacion-tweets-nlp-y-regresion-logistica", "kernel_id": "73402793"}, {"ref": "estebancastroflores/clasificacion-tweets-rl-batch-keras-y-nlp", "kernel_id": "73398245"}, {"ref": "kushalmaktal03/nlp-disaster-tweets", "kernel_id": "73400367"}, {"ref": "jordiolaechea/kerasnlp-starter-guide-disaster-tweets", "kernel_id": "73319213"}, {"ref": "rohitbadgujar03/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "73813826"}, {"ref": "ret2002/fork-of-nlp-with-disaster-tweets-eda-cleaning-a", "kernel_id": "73815633"}, {"ref": "ret2002/nlp-with-disaster-tweets-eda-cleaning-and-bert", "kernel_id": "73796254"}, {"ref": "wjones3668/nlp-with-disaster-tweets", "kernel_id": "74825298"}, {"ref": "sai1881/bert-for-binary-classification", "kernel_id": "74903240"}, {"ref": "jbrohrer/distilbert-for-disastertweets", "kernel_id": "74060892"}, {"ref": "hafidabelayd/natural-language-processing-with-disaster-tweets", "kernel_id": "74871204"}, {"ref": "maximlaletin/naive-bayes-for-disaster-tweets", "kernel_id": "74092083"}, {"ref": "moghenry/distilbertnlp-disaster-tweets-classification", "kernel_id": "74177237"}, {"ref": "cwitsper/introduction-to-nlp", "kernel_id": "74185237"}, {"ref": "frodobaggins87/disaster-tweet-prediction", "kernel_id": "74332949"}, {"ref": "eucee00/trutweet", "kernel_id": "74518027"}, {"ref": "soumodipchandra/tweetdisaster-eda-datacleaning-baselinemodel-lstm", "kernel_id": "74057294"}, {"ref": "donghun7077/nlp-with-disaster-tweets", "kernel_id": "74309201"}, {"ref": "junaidmlengineer/disaster-tweets-junaid", "kernel_id": "74377182"}, {"ref": "stephanmikhaylov/nlp-with-disaster-tweets-bert", "kernel_id": "74800571"}, {"ref": "suryan5h/nlp-disaster-tweets-competition-using-tfidf", "kernel_id": "75236948"}, {"ref": "suryan5h/learn-basic-nlp-concepts-tokenization", "kernel_id": "75452612"}, {"ref": "ksarvakar/tokenization-in-nlp-introduction-kjs", "kernel_id": "75552731"}, {"ref": "bxnxalex/nlp-tweet-disaster", "kernel_id": "75087832"}, {"ref": "saimanoj2772/bert-for-binary-classification", "kernel_id": "75014316"}, {"ref": "regenyang/text-classification", "kernel_id": "75308012"}, {"ref": "vladlen32230/disaster-event-minilm-l6-v2-fine-tuning", "kernel_id": "75187904"}, {"ref": "vladlen32230/disaster-tweet-roberta-large-fine-tuning", "kernel_id": "75190360"}, {"ref": "abdallah11/best-model-for-disaster-tweets-featureenginnering", "kernel_id": "75301949"}, {"ref": "abdallah11/majority-vote-models-for-disaster-tweets-problem", "kernel_id": "75307801"}, {"ref": "abdulrahmanalghareeb/natural-language-processing-with-disaster-tweets", "kernel_id": "75280682"}, {"ref": "raspri/tweets", "kernel_id": "75703550"}, {"ref": "m65673kc/nlp-with-disaster-tweets", "kernel_id": "75331770"}, {"ref": "nithinnayak17/disaster-tweet-binary-classification", "kernel_id": "75332861"}, {"ref": "sabikasabika/bertnlp-with-disaster-tweets", "kernel_id": "75790270"}, {"ref": "ashuredd/0-81397-with-gemma-2b", "kernel_id": "75807806"}, {"ref": "ziweitang1/nlp-disaster-tweets-cleaning-stlr-discr", "kernel_id": "75542184"}, {"ref": "manastokale/mtokale2", "kernel_id": "76702921"}, {"ref": "ahsannawazch/0-84002-baseline-roberta-large", "kernel_id": "76217723"}, {"ref": "edwardchen29/disaster-tweets-nlp-analysis", "kernel_id": "76500323"}, {"ref": "mayankbambal/nlp-ensemble", "kernel_id": "76339872"}, {"ref": "mmesomaudensi/nlp-disaster-tweets", "kernel_id": "76387380"}, {"ref": "ganeshreddy0616/disaster-tweet-classification-beginner-nlp-guide", "kernel_id": "76766073"}, {"ref": "abdallaellaithy/feature-engineering-model-for-disaster-tweets", "kernel_id": "76866800"}, {"ref": "nikkhilmahajannnn/disaster-classification", "kernel_id": "76253482"}, {"ref": "ivandavidruizangel/ivandruiza-tweeter-classifier", "kernel_id": "76987124"}, {"ref": "senasudemir/disaster-tweet-prediction", "kernel_id": "76775613"}, {"ref": "iakhtar0/bert-finetuning", "kernel_id": "76574729"}, {"ref": "nursiddikruman/disaster-tweets-nlp-top-8", "kernel_id": "76736386"}, {"ref": "bengtlueers/emetriq-x-bengt-nlp-on-disaster-tweets", "kernel_id": "77380222"}, {"ref": "ahmedayman101/twitter-disaster-clasification", "kernel_id": "77809074"}, {"ref": "manavkhambhayata/natural-language-processing-with-disaster-tweets", "kernel_id": "77779854"}, {"ref": "vermilion000/disaster-detection-using-nlp", "kernel_id": "77965908"}, {"ref": "abdelrahmanbadr88/nlp-notebook", "kernel_id": "77444931"}, {"ref": "youssefahmedaziz/disasterification", "kernel_id": "77392877"}, {"ref": "ananya12verma/nlp-disaster-tweet", "kernel_id": "77779605"}, {"ref": "isabelgonalves/processamento-de-linguagem-natural-nlp", "kernel_id": "77399471"}, {"ref": "yousefzaghloul/notebook6822f9942c", "kernel_id": "77331219"}, {"ref": "zhudawei01/prac-5-task-2", "kernel_id": "77729848"}, {"ref": "ibrahimhabibeg/using-bert-to-predict-disaster-tweets", "kernel_id": "77141271"}, {"ref": "quentinstepp/nlp-tweet-binary-classification", "kernel_id": "77497210"}, {"ref": "dexterkwok/fork-of-fastai-lesson4-getting-started-with-nlp", "kernel_id": "77414586"}, {"ref": "harshagrawal2404/nlp-with-disaster-tweets", "kernel_id": "77299910"}, {"ref": "abhineetk1234/nlp-getting-started-notebook", "kernel_id": "77491771"}, {"ref": "abhineetk1234/nlp-getting-started-notebook-new", "kernel_id": "77522042"}, {"ref": "jenniferbbbbb/lgb-and-bert-nlp-with-disaster-tweets", "kernel_id": "77739080"}, {"ref": "xqwang1717/natural-language-processing-nlp-for-beginners", "kernel_id": "77784386"}, {"ref": "lokanadam/bert-fine-tuning-with-pytorch", "kernel_id": "78156839"}, {"ref": "aziz7752/hw1-text-classification-aziz-ahmad", "kernel_id": "78746758"}, {"ref": "ahsannawazch/22th-place-0-84400", "kernel_id": "78968171"}, {"ref": "tsihoryjigdaliaenoch/text-preprocessing-embedding-nltk-glove-augly", "kernel_id": "78889319"}, {"ref": "vasiliitrabun/hse-nlp-hw1-lol", "kernel_id": "78385307"}, {"ref": "arsenyskribchenko/nlp-notebook", "kernel_id": "78681226"}, {"ref": "urbanartem/nlp-homework1", "kernel_id": "78623775"}, {"ref": "aathiraprasad08/nlp-classification-of-tweets-about-disasters", "kernel_id": "78183925"}, {"ref": "carloscll/fine-tuning-bert-ptbr", "kernel_id": "78207142"}, {"ref": "harideepak/bert-fine-tuning-with-pytorch", "kernel_id": "78135100"}, {"ref": "xiaopenglitech/li-xiaopeng-nlp-hw1-2025-03-17", "kernel_id": "78742126"}, {"ref": "narnedheeraj/notebook2729bf2d06", "kernel_id": "78829541"}, {"ref": "chepurchenko/twitter-competition", "kernel_id": "78570994"}, {"ref": "shravyatumeti/notebook51f494d399", "kernel_id": "78152488"}, {"ref": "mannamganeshvivek/notebook2729bf2d06", "kernel_id": "78896176"}, {"ref": "mannamganeshvivek/notebook2729bf2d06-04ab52", "kernel_id": "78922913"}, {"ref": "sitharthvarsan/notebook2729bf2d06-04ab52", "kernel_id": "78898106"}, {"ref": "jakubkmn/tweet-disaster-nlp-competition", "kernel_id": "78445363"}, {"ref": "thienbao1909/natural-language-processing-with-disaster-tweets", "kernel_id": "78922648"}, {"ref": "nguynngchiu1/tweet-prediction-real-or-not-nlp-with-disaster", "kernel_id": "78100501"}, {"ref": "jinghuawu/nlp-with-disaster-tweets", "kernel_id": "78113279"}, {"ref": "rodnenkiy/nlp-twitter", "kernel_id": "78539229"}, {"ref": "lin1945/disaster-tweets-detection-cnn-lstm-score-0-79589", "kernel_id": "78267439"}, {"ref": "dmitrysavkov/disaster-tweets-nlp-with-tf-idf-nb-and-xgboost", "kernel_id": "78898562"}, {"ref": "achilleaskostoulas/notebook726bc6a798", "kernel_id": "78845763"}, {"ref": "pollynovo/disaster-tweets-classic-ml-and-nn", "kernel_id": "78924163"}, {"ref": "muhammadfaseeh/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "79571273"}, {"ref": "vikkach/nlp-with-disaster-tweets-bidirectional-lstm-gru", "kernel_id": "79948764"}, {"ref": "samiul2172/natural-language-processing-with-disaster-tweets", "kernel_id": "79233616"}, {"ref": "robertoxley/nlp-disaster-tweets-83-2-lstm-distilbert-logreg", "kernel_id": "79587889"}, {"ref": "emam2002/notebookd34ec4adce", "kernel_id": "79348857"}, {"ref": "leila413y/nlp-with-disaster-tweets-tf-idf-word2vec", "kernel_id": "79055736"}, {"ref": "moreharsh/final", "kernel_id": "79446137"}, {"ref": "vipulddafada/notebook1832521c94", "kernel_id": "79291973"}, {"ref": "erikanderson1/nlp-to-monitor-twitter-for-natural-disasters", "kernel_id": "80855540"}, {"ref": "tinfufans/notebook9a8a37b090", "kernel_id": "80950019"}, {"ref": "farahdimshawy/nlp-tweets", "kernel_id": "80909813"}, {"ref": "sitharthvarsan/sitharth-nlp", "kernel_id": "80779691"}, {"ref": "abdulrhmanhussein01/nlp-with-disaster-tweets-distilbert", "kernel_id": "80625089"}, {"ref": "leroyl/disaster-tweets", "kernel_id": "80190456"}, {"ref": "sushmachilakala/nlp-disaster-tweet", "kernel_id": "80798409"}, {"ref": "ailinnakaganeku/nlp-with-disaster-tweets-ailin-n", "kernel_id": "80783051"}, {"ref": "jamesmcguigan/nlp-tweets-gpt2-probe", "kernel_id": "81120743"}, {"ref": "ccozad/week-4-nlp-disaster-tweets-mini-project", "kernel_id": "81190207"}, {"ref": "yerassylabylkassym/complete-nlp-chalka", "kernel_id": "81978892"}, {"ref": "gabrielfcarvalho/nlp-with-disaster-tweets", "kernel_id": "81956960"}, {"ref": "mohammadnourbakhsh/disaster-tweets", "kernel_id": "81638956"}, {"ref": "georgemaslov/bert-tweets", "kernel_id": "81225844"}, {"ref": "reidnersantos/ciia-reidner-nlp-disaster-tweets", "kernel_id": "81391667"}, {"ref": "seraphritt/notebook40581ed844", "kernel_id": "81193887"}, {"ref": "iuribarbosa/hbr-ciia-desafio-kaggle-iuri-barbosa", "kernel_id": "81368557"}, {"ref": "joaobizzo/nlp-twitter-disaster", "kernel_id": "81643184"}, {"ref": "arianzr/bert-en-uncased-l-10-h-128-a-2", "kernel_id": "81471764"}, {"ref": "lurianlima/tweets-disaster", "kernel_id": "81257675"}, {"ref": "kiariejeff/nlp-disaster-tweets-logistic-random-svm-naive", "kernel_id": "81644098"}, {"ref": "rodglins/nlp-tweets", "kernel_id": "81845118"}, {"ref": "dprudhviraj/project", "kernel_id": "81113504"}, {"ref": "dprudhviraj/project-pr3-solutions", "kernel_id": "81407371"}, {"ref": "ermurtuzapeelay/bert-text-classification-python", "kernel_id": "81309902"}, {"ref": "shihabjamal/logregression-only", "kernel_id": "81793311"}, {"ref": "luishenriquetoledo/notebook37ec38c9b0", "kernel_id": "81590805"}, {"ref": "fernandomendoza85/a4-mendoza-torres-lino", "kernel_id": "81729441"}, {"ref": "luizzfbessa/ciia-hbr", "kernel_id": "81533317"}, {"ref": "beatafaron/nlp-trends-2025-update-complete-learning-guide", "kernel_id": "81747252"}, {"ref": "ugurcan95/disaster-tweet-analysis", "kernel_id": "81133262"}, {"ref": "martishin/disaster-tweets-prediction-using-nlp", "kernel_id": "81017108"}, {"ref": "omnillos/notebook0f1243bc22", "kernel_id": "81713375"}, {"ref": "didi0706/nlp-tweets", "kernel_id": "81614418"}, {"ref": "lilbagi/nlp-disaster-tweets-logreg-distilbert-kerasnlp", "kernel_id": "81696473"}, {"ref": "lilbagi/nlp-disaster-tweets-bertweet-tensorflow", "kernel_id": "81760310"}, {"ref": "loganbu/csc-502-nlp-tweets", "kernel_id": "81319283"}, {"ref": "priyankamadishetty/project", "kernel_id": "81123515"}, {"ref": "carlosmatherson/nlp-with-disaster-tweets-rnn", "kernel_id": "81146557"}, {"ref": "williamebright/nlp-with-disaster-tweets", "kernel_id": "81391245"}, {"ref": "williamebright/csc-502-nlp-tweets-distilbert", "kernel_id": "81398711"}, {"ref": "androgermisashvili/notebook7eba0c119b", "kernel_id": "81337480"}, {"ref": "caiokennji/natural-disasters", "kernel_id": "81470592"}, {"ref": "igormrqs/meu-desafio-nlp-ciia", "kernel_id": "81957978"}, {"ref": "kalkxi/csvbulksentenceencoder", "kernel_id": "81363008"}, {"ref": "mridulmahajan4/nlp-with-disaster-tweets", "kernel_id": "81897454"}, {"ref": "pardeep19singh/fine-tune-qwen3-0-6b-83-4-on-disaster-tweets", "kernel_id": "82429043"}, {"ref": "victorasso/notebookbb9751a9b8", "kernel_id": "82341567"}, {"ref": "ciriatico/desafio-kaggle-ciia-gabriel-mendes", "kernel_id": "82455922"}, {"ref": "alvimpaulo/desafio-ciia", "kernel_id": "82589267"}, {"ref": "daramariabsousa/desafio-ciia", "kernel_id": "82685604"}, {"ref": "samuelgsouza/hbr-ciia", "kernel_id": "82704754"}, {"ref": "fausejr/desafio-ciia-fause", "kernel_id": "82582195"}, {"ref": "ahmedgeka/nlp-fake-or-real-tweets-guess-what", "kernel_id": "82689521"}, {"ref": "guhenriquetorres/gustavo-henrique-ciia-dense-bert", "kernel_id": "82692406"}, {"ref": "guhenriquetorres/gustavo-henrique-ciia-distilbert", "kernel_id": "82750979"}, {"ref": "pedrolcarvalho/nlp-notebook-disaster-tweets-using-distilbert", "kernel_id": "82197076"}, {"ref": "valxntim/gustavo-valentim-ciia", "kernel_id": "82710216"}, {"ref": "willbernardo/notebook-ciia-will", "kernel_id": "82653878"}, {"ref": "victor12396/notebookfe23177483-hbrciia-victor", "kernel_id": "82058328"}, {"ref": "pedrovcsilva/md-trabalho-final-pedro-silva", "kernel_id": "82570955"}, {"ref": "felipeschulz/ciia-submission", "kernel_id": "82701027"}, {"ref": "marcosgndel/ciia-desafio", "kernel_id": "82703558"}, {"ref": "danilotertuliano/hbr-ciia-nlp", "kernel_id": "82415952"}, {"ref": "jooelvas/nlp-disaster-tweets-desafio-ciia", "kernel_id": "82520780"}, {"ref": "danisoares/ciia-challange", "kernel_id": "82527020"}, {"ref": "letciamaria2008/submission-csv", "kernel_id": "82580233"}, {"ref": "gustavomacedo1/desafio-ciia-submiss-o-1", "kernel_id": "82651560"}, {"ref": "gustavomacedo1/desafio-ciia-gustavo-de-oliveira-macedo", "kernel_id": "82707154"}, {"ref": "pradeeplachireddy/nlp-keras-disaster-tweets", "kernel_id": "82540734"}, {"ref": "daltrooliveira/notebooke4f9b0bc2c", "kernel_id": "82696368"}, {"ref": "andrmeyer/desafio-ciia", "kernel_id": "82760849"}, {"ref": "andrdkw/nlpdisaster-kaggle", "kernel_id": "82703348"}, {"ref": "gscheidt/redes-neurais", "kernel_id": "82345278"}, {"ref": "sergeykey/spacy-tweet-classification-and-keras", "kernel_id": "82563758"}, {"ref": "wellopes99/notebooke3fdeb934e", "kernel_id": "82563991"}, {"ref": "josfilipibritosouza/notebookf12226ab19", "kernel_id": "82682829"}, {"ref": "figuerass/submiss-o-ciia", "kernel_id": "82711902"}, {"ref": "pedroonkaggle/natural-disaster-ptms-ciia-rf", "kernel_id": "82633045"}, {"ref": "luizrmartins/projetofinal-md-luiz-erica", "kernel_id": "82355011"}, {"ref": "victoresendemelo/natural-language-processing-with-disaster-tweets-v", "kernel_id": "82113211"}, {"ref": "robertjesus/desafio-ciia", "kernel_id": "82287944"}, {"ref": "bevuii/desafio-ciia", "kernel_id": "82812403"}, {"ref": "harshx3/roberta-spam-classification", "kernel_id": "82765391"}, {"ref": "rustns/desafio-ciia-notebook", "kernel_id": "82703353"}, {"ref": "mjgdias2000/nlp-pytorch", "kernel_id": "82487075"}, {"ref": "tavaresvh/test-nlp-twetts", "kernel_id": "82461292"}, {"ref": "darysha/nlp-disaster-tweets", "kernel_id": "82442724"}, {"ref": "milenaaires/notebooka2c6a83e95", "kernel_id": "82585051"}, {"ref": "rogerdias/roger-quinelato-ciia", "kernel_id": "82453076"}, {"ref": "jayjwrzj/nlp-getting-started-tutorial", "kernel_id": "82028240"}, {"ref": "ugurozbiberci/natural-language-processing-with-disaster-tweets", "kernel_id": "82044548"}, {"ref": "batyrpro/natural-lpa", "kernel_id": "82050365"}, {"ref": "psrsouza/ciia-desafio", "kernel_id": "82827620"}, {"ref": "ka9ddc/disaster-tweets-bert", "kernel_id": "82709834"}, {"ref": "saifsiddiq/nlp-getting-started-tutorial", "kernel_id": "82272983"}, {"ref": "harshan14/gpu-lora-llm", "kernel_id": "82207071"}, {"ref": "joquebedeoliveira/modelo-disasterbert-lite-v3-desafio-ciia", "kernel_id": "82579117"}, {"ref": "valdimario/desafio-ciia-hbr", "kernel_id": "82055106"}, {"ref": "gabrielspinto/notebook-desafio-ciia", "kernel_id": "82652552"}, {"ref": "rutefernandesal/rute-desafio-ciia", "kernel_id": "82495464"}, {"ref": "paulohenriquern/notebookccfd4c58c2", "kernel_id": "82650948"}, {"ref": "diegosousaleite/desafio-ciia-diego-sousa-leite", "kernel_id": "82145206"}, {"ref": "vinciusgomesmarques/pln-aplicado-tweets-de-desastres-desafio-ciia", "kernel_id": "82433894"}, {"ref": "danilonaves/desafio-danilonaves", "kernel_id": "82525432"}, {"ref": "carollingian/nlp-disaster-tweets", "kernel_id": "82626405"}, {"ref": "burakakif/notebookadc1ad3868", "kernel_id": "82492032"}, {"ref": "victorpierobon/notebook7a959607dd", "kernel_id": "82565715"}, {"ref": "lucasf875/notebook6a7341c7cb", "kernel_id": "82665815"}, {"ref": "marianambb/desafio-ciia-mariana-monteiro", "kernel_id": "82524172"}, {"ref": "marianambb/desafio-ciia-vers-o-1", "kernel_id": "82506227"}, {"ref": "pauloflima/baseline-simples-com-tf-idf-regress-o-log-stica", "kernel_id": "82362115"}, {"ref": "pablopxx/notebooke-desafio-ciia", "kernel_id": "82442703"}, {"ref": "jeremiasribeiro/notebook98f34a14aa", "kernel_id": "82775799"}, {"ref": "thiagofariasl/modelo-randomforest-com-nltk", "kernel_id": "82008407"}, {"ref": "guibs969/desafio", "kernel_id": "82118768"}, {"ref": "nathansp26/desafio", "kernel_id": "82653205"}, {"ref": "pedroacviana/ciia-distilbert", "kernel_id": "82711017"}, {"ref": "lucascalliari/kaggle-desafio", "kernel_id": "82292355"}, {"ref": "masancos/desafio-pnl-tweets-ciia", "kernel_id": "82518892"}, {"ref": "joaogabrielalvesg/twtssss", "kernel_id": "82597709"}, {"ref": "lucasvictorlv/desafio-hbr-ciia-lucas-v-ctor", "kernel_id": "82707855"}, {"ref": "letciamelodesousa/desafio-notebook", "kernel_id": "82577839"}, {"ref": "williangomesdesouza/notebook7a9abcbf81", "kernel_id": "82702218"}, {"ref": "maikesantana/tweets-competition", "kernel_id": "82522635"}, {"ref": "mirandagabriel/first-attempt", "kernel_id": "82536502"}, {"ref": "mirandagabriel/notebook5372d9e350", "kernel_id": "82541388"}, {"ref": "natangsdiniz/nlpwdt-natan-diniz", "kernel_id": "82774623"}, {"ref": "maduhh/desafio-ciia", "kernel_id": "82781957"}, {"ref": "sabrinacaldasberno/notebook13b884824e", "kernel_id": "82560642"}, {"ref": "lucianajorgecunha/hbr-ciia-lucianajorgecunha", "kernel_id": "82775236"}, {"ref": "peter0528/notebookf142bee37f", "kernel_id": "82612812"}, {"ref": "igorrocha93/ciia-desafio", "kernel_id": "82661291"}, {"ref": "yanlucas12/notebookbcb796c692", "kernel_id": "82703665"}, {"ref": "kyaraestevesdesousa/meu-notebook-kyara", "kernel_id": "82703899"}, {"ref": "agathy/second", "kernel_id": "82777673"}, {"ref": "agathy/firsrt", "kernel_id": "82719346"}, {"ref": "alicealmeidas/notebook196c230cb6", "kernel_id": "82740207"}, {"ref": "omarhadf/disaster-tweets-start-point", "kernel_id": "83246159"}, {"ref": "esraaalsaeede/nlp-getting-started-tutorial", "kernel_id": "83687227"}, {"ref": "ahmedgeka/nlp-headline-generation-using-lstm", "kernel_id": "83326391"}, {"ref": "bilgingunes/natural-language-processing-with-disaster-tweetss", "kernel_id": "83619761"}, {"ref": "shiyouyan/natural-language-processing-with-disaster-tweets", "kernel_id": "83586629"}, {"ref": "shreyabhattacharya42/disaster-tweet-sb", "kernel_id": "83505965"}, {"ref": "michport/nl-with-disaster-tweets", "kernel_id": "83880963"}, {"ref": "ashraf989/notebook50cd00bd77", "kernel_id": "83802894"}, {"ref": "beatafaron/tweets-disaster-nlp-transformers-hugging-face", "kernel_id": "83363618"}, {"ref": "riyazmaind/nlp-with-disaster-tweets-by-riyaz-maind", "kernel_id": "83536582"}, {"ref": "marii8st/twitter-x-competition", "kernel_id": "83678618"}, {"ref": "venky16076/modernbert2", "kernel_id": "83961080"}, {"ref": "vedantmisra108/bert-classifier", "kernel_id": "83949208"}, {"ref": "prottoy3182/twitter", "kernel_id": "83887141"}, {"ref": "alexandermaitken/natural-language-processing-with-disaster-tweets", "kernel_id": "83216307"}, {"ref": "wangjinwei666/classification-models", "kernel_id": "83196951"}, {"ref": "unfilterediitm/garvit-pahwa", "kernel_id": "83801636"}, {"ref": "mohitsharma93/natural-language-processing-with-disaster-tweets", "kernel_id": "84036892"}, {"ref": "jonathanimmanuel/nlp-training-disaster-tweets", "kernel_id": "84189702"}, {"ref": "mokkshkapur/nlp-tweet-xmlroberta", "kernel_id": "84693598"}, {"ref": "ashraf989/notebooke127f84b11", "kernel_id": "84439685"}, {"ref": "prakharasthana28/nlp-competition", "kernel_id": "84503733"}, {"ref": "jarrodmann/notebookcd1e049c74", "kernel_id": "84243985"}, {"ref": "gurpreetvij/fine-tuning-bert-for-text-classification", "kernel_id": "84860995"}, {"ref": "naveenreddy1724/notebook79fd7d55fb", "kernel_id": "84959578"}, {"ref": "zahratandel/nlpwithdisastertweet", "kernel_id": "84590840"}, {"ref": "murtazaabdullah2010/sentiment-analysis-with-logistic-regression", "kernel_id": "84276239"}, {"ref": "jasonholdsworth/week5-nlp-competition", "kernel_id": "85407459"}, {"ref": "aryansinha2003/84-accuracy-e5-large-v2", "kernel_id": "85221685"}, {"ref": "dorisqzchen/disaster-tweets-classification-bertweet-lstm", "kernel_id": "85750637"}, {"ref": "annatar1987/nlp-lemm-token", "kernel_id": "85006144"}, {"ref": "annatar1987/bert-0-83174-v1", "kernel_id": "85128497"}, {"ref": "abhishekameta47/disaster-tweet", "kernel_id": "85717451"}, {"ref": "htetgamer/natural-language-processing-beginner-experiment", "kernel_id": "85594738"}, {"ref": "zhou0912/fastai-lesson4-getting-started-2024", "kernel_id": "85426266"}, {"ref": "ubaraayuki/natural-language", "kernel_id": "85940345"}, {"ref": "damonlindsay/prac-05-damon-lindsay", "kernel_id": "85642381"}, {"ref": "linnthantsoewai/fastai-lesson4-getting-started-2024", "kernel_id": "85619978"}, {"ref": "codesniper0001/nlpdisastertweets", "kernel_id": "85174066"}, {"ref": "pochiehhuang/nlp-practice-disaster-tweets", "kernel_id": "85169435"}, {"ref": "pochiehhuang/nlp-embedding-model-practice", "kernel_id": "85299703"}, {"ref": "cheyennefurlong/prac05-task-2-apply-nlp-to-a-new-dataset", "kernel_id": "85406684"}, {"ref": "callumriley3/cp3501-nlp-task", "kernel_id": "85610047"}, {"ref": "phiduyanh/glove-lstm-disaster-tweets-classification", "kernel_id": "85861724"}, {"ref": "reecekelly1/nlp-with-disaster-tweets-comp-submission", "kernel_id": "85421473"}, {"ref": "caseysummers/nlp-disaster-tweets-casey-summers", "kernel_id": "85266665"}, {"ref": "lanceghfdfghdgfhdhg/notebook5ce0db17d3", "kernel_id": "85564684"}, {"ref": "connorwhite1/nlp-with-disaster-tweets", "kernel_id": "85613057"}, {"ref": "alanbeem/notebookcd89bff3f6", "kernel_id": "85414985"}, {"ref": "oleksandrliubun/notebook2edc49a246", "kernel_id": "85759104"}, {"ref": "studentanalytics/task-2", "kernel_id": "85557525"}, {"ref": "akazawataku/notebook-c4-vol-1", "kernel_id": "85923563"}, {"ref": "sumitomoyuma/notebook-c1", "kernel_id": "85947267"}, {"ref": "richo7777/fastai-lesson4-getting-started-2024", "kernel_id": "85613071"}, {"ref": "aungthantthu/fastai-lesson4-getting-started-2024", "kernel_id": "85563790"}, {"ref": "choopwintchal/practical-5-task-2", "kernel_id": "85417721"}, {"ref": "liweichen1/fastai-lesson4-getting-started-2024", "kernel_id": "85609820"}, {"ref": "xiaoshirley/week5-task2", "kernel_id": "85397807"}, {"ref": "saiohmsaiepaine/fastai-lesson4-getting-started-2024", "kernel_id": "85619789"}, {"ref": "hr9000/prac5-task2", "kernel_id": "85200615"}, {"ref": "westyy/week-5-task-2", "kernel_id": "85405856"}, {"ref": "donpianta/fastai-lesson4-getting-started-2024", "kernel_id": "85566989"}, {"ref": "davidhunter12/cp3501-prac05-task02-nlp-competition", "kernel_id": "85564383"}, {"ref": "ndachille/cp3501-prac-5", "kernel_id": "85204952"}, {"ref": "salvingeorgeau/notebookeaece5c7ea", "kernel_id": "85712223"}, {"ref": "lukekaggleuni/cp3501-week5-part2", "kernel_id": "85395892"}, {"ref": "danielbrooks784/cp3501-prac-5-task-2", "kernel_id": "85332866"}, {"ref": "whumptus/fastai-lesson4-getting-started-2024", "kernel_id": "85473925"}, {"ref": "nexturn19/fastai-lesson4-getting-started-2024", "kernel_id": "85407716"}, {"ref": "kimdajin/notebook9533fb3b97", "kernel_id": "85397581"}, {"ref": "sithuzic/fastai-lesson4-getting-started-2024", "kernel_id": "85417190"}, {"ref": "jonchernoch/nlp-with-rnn-for-tweet-analysis-79-9-acc", "kernel_id": "85368820"}, {"ref": "hanyuxiao25/fastai-lesson4-getting-started-2024", "kernel_id": "85408996"}, {"ref": "khunpyae/fastai-lesson4-getting-started", "kernel_id": "85408830"}, {"ref": "tomy00/disaster-tweets", "kernel_id": "85297043"}, {"ref": "liuchunhan/fastai-lesson4-getting-started", "kernel_id": "85342393"}, {"ref": "naingphonepyae/notebookc30d45f8ef", "kernel_id": "85410677"}, {"ref": "aidenlaurila/prac-5-task-2-deep-learning", "kernel_id": "85613264"}, {"ref": "zhanghanzhi1/fastai-lesson4-getting-started-2024", "kernel_id": "85424192"}, {"ref": "xiangwang98/cp3501-prac2-task2", "kernel_id": "85423127"}, {"ref": "evachong/week-5-task-2-yuan-xin", "kernel_id": "85447231"}, {"ref": "dularigammampila/notebookb25875f1c1", "kernel_id": "85414386"}, {"ref": "archanapalaniappan/notebook710cee0d6a", "kernel_id": "85549514"}, {"ref": "luox11a/first-nlp-trying-by-luox11a", "kernel_id": "85486727"}, {"ref": "yenaingkaggle/fastai-lesson4-getting-started-2024", "kernel_id": "85543657"}, {"ref": "heinaung018/notebook53174b2545", "kernel_id": "85603513"}, {"ref": "hugocui526/cp3501-week5-cui-langxuan", "kernel_id": "85415870"}, {"ref": "hugocui526/fastai-lesson4-getting-started-2024", "kernel_id": "85414853"}, {"ref": "yangtonghao/week-5", "kernel_id": "85476874"}, {"ref": "wangxi0219/fastai-lesson4-getting-started-2024", "kernel_id": "85397398"}, {"ref": "kyaesinmoehtet/cp3501-prac5-task-2", "kernel_id": "85610095"}, {"ref": "candicechristabel/cp3501-prac-5-task-2", "kernel_id": "85423288"}, {"ref": "winminoo4444/prac5-task2", "kernel_id": "85472023"}, {"ref": "jingyangcai/week-5-task-2", "kernel_id": "85447221"}, {"ref": "stearkingstearking/fastai-lesson4-getting-started-2024", "kernel_id": "85412642"}, {"ref": "lijunzihao/notebook59edea3cf1", "kernel_id": "85436551"}, {"ref": "noahcolls/submission-1-wk-5", "kernel_id": "85655081"}, {"ref": "justinrf7/comptweets", "kernel_id": "85612247"}, {"ref": "jakedodgson/cp3501-prac-5-task-2-apply-nlp-to-a-new-dataset", "kernel_id": "85406639"}, {"ref": "myatbhoneaung/fastai-lesson4-getting-started-2024", "kernel_id": "85405376"}, {"ref": "myatbhoneaung/notebookb8186077e3", "kernel_id": "85409759"}, {"ref": "myatbhoneaung/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85415961"}, {"ref": "liamwhiting/week5-task2", "kernel_id": "85401903"}, {"ref": "beautifulyutong/week5-task2", "kernel_id": "85397820"}, {"ref": "nndemo/notebookb5d0f5858b", "kernel_id": "85417260"}, {"ref": "sinnatherpaing/prac05-task2", "kernel_id": "85412919"}, {"ref": "juninhochandra/week5-task2", "kernel_id": "85410887"}, {"ref": "yuangchong/cp3501-week5-prac", "kernel_id": "85409733"}, {"ref": "paipeng1145/fastai-lesson4-getting-started-2024", "kernel_id": "85405461"}, {"ref": "loulou222/55555555555", "kernel_id": "85405931"}, {"ref": "weirdguy64/notebook30468a3f2d", "kernel_id": "85610996"}, {"ref": "dong187/task-2", "kernel_id": "85421897"}, {"ref": "vanyqii/fastai-lesson4-getting-started-2024", "kernel_id": "85409134"}, {"ref": "thunyantun/fastai-lesson4-getting-started-2024", "kernel_id": "85514267"}, {"ref": "zhihaotang615/fastai-lesson4-getting-started-2024", "kernel_id": "85411892"}, {"ref": "vincelinmaple126/cp3501-week-5", "kernel_id": "85601698"}, {"ref": "vincelinmaple126/fastai-lesson4-getting-started-2024", "kernel_id": "85601099"}, {"ref": "sihanzhong/fastai-lesson4-getting-started-2024", "kernel_id": "85417016"}, {"ref": "nanglaungphoung77/fastai-lesson4-getting-started-2024", "kernel_id": "85416343"}, {"ref": "saiko22/fastai-lesson4-getting-started-2024", "kernel_id": "85872375"}, {"ref": "yongdache/fastai-lesson4-getting-started-2024", "kernel_id": "85515954"}, {"ref": "mojunzheng/fastai-lesson4-getting-started-2024", "kernel_id": "85424579"}, {"ref": "liyunchen1515/fastai-lesson4-getting-started-2024", "kernel_id": "85424096"}, {"ref": "armiahmeti/fastai-lesson4-getting-started-2024", "kernel_id": "85581114"}, {"ref": "liusiyi1017/fastai-lesson4-getting-started-2024-8eb422", "kernel_id": "85426381"}, {"ref": "chenyuxuan38/notebook70d64598b2", "kernel_id": "85611728"}, {"ref": "zhiyuanwang0902/fastai-lesson4-getting-started-2024", "kernel_id": "85590128"}, {"ref": "wujiawei123/fastai-lesson4-getting-started-2024", "kernel_id": "85582500"}, {"ref": "cnm11111/fastai-lesson4-getting-started-2024", "kernel_id": "85446945"}, {"ref": "gerardpandji/disaster-tweets", "kernel_id": "85611210"}, {"ref": "xuhuang1/fastai-lesson4-getting-started-2024", "kernel_id": "85424588"}, {"ref": "zhuangzhuangchen/fastai-lesson4-getting-started-2024", "kernel_id": "85426309"}, {"ref": "inoueaiko/notebookb466634954", "kernel_id": "85949482"}, {"ref": "weishipeng/fastai-lesson4-getting-started-2024", "kernel_id": "85573407"}, {"ref": "madisonbragg1/fastai-lesson4-getting-started-2024", "kernel_id": "85589374"}, {"ref": "braedonross/prac-05-part-2", "kernel_id": "85611827"}, {"ref": "seinlinn/fastai-lesson4-getting-started-2024", "kernel_id": "85615736"}, {"ref": "ranzhou1/fastai-lesson4-getting-started-2024", "kernel_id": "85618612"}, {"ref": "maythinhtet/fastai-lesson4-getting-started-2024", "kernel_id": "85412056"}, {"ref": "carolasegale/nlp-getting-started-v2-hftrainer", "kernel_id": "85435247"}, {"ref": "ckwoz1101/notebook958ebe3148", "kernel_id": "85940215"}, {"ref": "zakiy5/notebook2a38e98dde", "kernel_id": "85940287"}, {"ref": "kikikikijijijijij/notebook-c3", "kernel_id": "85942599"}, {"ref": "vladimirpd/transformers-huggingface-beginners-guide", "kernel_id": "85546798"}, {"ref": "luoziwen/nlp-disaster-tweets", "kernel_id": "85593094"}, {"ref": "soccerguy282/nlp-mini-project", "kernel_id": "86899927"}, {"ref": "billtruelove/disaster-tweets", "kernel_id": "86726494"}, {"ref": "alexandermeau/disaster-tweets-nlp-classification", "kernel_id": "86386662"}, {"ref": "gopalkk2/notebook84a282903a", "kernel_id": "86055865"}, {"ref": "salkochoa/natural-language-processing-with-disaster-tweets", "kernel_id": "86688696"}, {"ref": "davidlord123/nlp-with-disaster-tweets-using-lstm-and-bilstm", "kernel_id": "86602665"}, {"ref": "jacopoferretti/countvectorizing-without-a-countvectorizer", "kernel_id": "86666482"}, {"ref": "doronfingold/nlp-disaster-tweets", "kernel_id": "86450480"}, {"ref": "fernandomendoza85/examen-mendoza-torres", "kernel_id": "86003503"}, {"ref": "pochiehhuang/nlp-sentence-transformers-practice", "kernel_id": "86302433"}, {"ref": "alsayedaliahmed/nlp-with-disaster-tweets-using-word2vec-glove-tfid", "kernel_id": "86405008"}, {"ref": "opbashar/nlp-practice-notebook", "kernel_id": "86505933"}, {"ref": "akazawataku/notebooke-c4-last", "kernel_id": "86380021"}, {"ref": "akazawataku/notebook-c4-vol-2", "kernel_id": "86088990"}, {"ref": "shivams811/disaster-tweets", "kernel_id": "86321071"}, {"ref": "ekaterinago/nlp-disaster-tweets", "kernel_id": "86211910"}, {"ref": "xiangli1986/natural-language-processing-fire-alert", "kernel_id": "86396512"}, {"ref": "ayano0208/natural-language", "kernel_id": "86386581"}, {"ref": "rikusr/twitterdddddd", "kernel_id": "86385537"}, {"ref": "abcdef2143/notebook-c1", "kernel_id": "86385206"}, {"ref": "micankan/notebook-c1", "kernel_id": "86385369"}, {"ref": "my34567/data-science-work", "kernel_id": "86386314"}, {"ref": "wubangyang/notebook671e8870dc", "kernel_id": "86387485"}, {"ref": "kodaitotsuka/notebookc716035688", "kernel_id": "86386692"}, {"ref": "naokkk/yuuuuuuuuchan", "kernel_id": "86386786"}, {"ref": "nakataniosuke/notebook82883e9efc", "kernel_id": "86378221"}, {"ref": "hiroto0801/notebooke0e1818504", "kernel_id": "86856751"}, {"ref": "namikawaren/notebook66e381d126", "kernel_id": "86387405"}, {"ref": "fuji28/notebook1820dd568a", "kernel_id": "86386448"}, {"ref": "naoki1407/notebookf5036ed545", "kernel_id": "86387311"}, {"ref": "chamyu/disaster-tweets-notebook", "kernel_id": "86193838"}, {"ref": "suzyyan/notebook5d642f67a2", "kernel_id": "86379319"}, {"ref": "uozaki/kerasnlp-starter-notebook-disaster-tweets-1ac931", "kernel_id": "86857652"}, {"ref": "yamanoryoga/notebook9c55399dfb", "kernel_id": "86386249"}, {"ref": "oguuuuuuus/notebookd498b0a385", "kernel_id": "86387293"}, {"ref": "liuyingfei/notebookdata-nlp", "kernel_id": "86385864"}, {"ref": "mayujobe/notebook8bd7548a7d", "kernel_id": "86393020"}, {"ref": "sakaguchiyukiya/notebook2736404d24", "kernel_id": "86857177"}, {"ref": "finoue/notebook46067cccae", "kernel_id": "86386247"}, {"ref": "guoyidi/nlpdt", "kernel_id": "86857567"}, {"ref": "kaitoyamaura/data-science-kaggle", "kernel_id": "86385036"}, {"ref": "gin21065/notebook-c1", "kernel_id": "86385357"}, {"ref": "shiozakijunpei/kerasnlp-starter-notebook-disaster-tweets-359c4e", "kernel_id": "86857564"}, {"ref": "u0oxo0u/notebook-c1-akimoto", "kernel_id": "86385274"}, {"ref": "nansen0/nansen0-notebook-natural-language-processing", "kernel_id": "86856934"}, {"ref": "miyamon/notebookf718d25cce", "kernel_id": "86850789"}, {"ref": "taniuchiakira/a-tani-notebook-disaster-tweets", "kernel_id": "86857167"}, {"ref": "kisai0712/notebookd9b8b3e9d1", "kernel_id": "86385962"}, {"ref": "ecocyclelab42/kerasnlp-starter-notebook-disaster-tweets-ee4ce2", "kernel_id": "86857502"}, {"ref": "harvestmimiko/notebook868b078aca", "kernel_id": "86513871"}, {"ref": "atsutonaito/g4-c7-250711", "kernel_id": "86765958"}, {"ref": "atsutonaito/g4-c7", "kernel_id": "86763671"}, {"ref": "hayashi7777/notebook1d2f32f63d", "kernel_id": "86386562"}, {"ref": "hayashi7777/notebook2b7a2555ca", "kernel_id": "86389199"}, {"ref": "kevingarciaespiritu/clasificaci-n-con-tf-idf-naive-bayes-v2", "kernel_id": "86062332"}, {"ref": "kevingarciaespiritu/clasificaci-n-con-tf-idf-xgboost-v5", "kernel_id": "86063083"}, {"ref": "kevingarciaespiritu/clasificaci-n-con-tf-idf-svm-v3", "kernel_id": "86062932"}, {"ref": "kevingarciaespiritu/clasificaci-n-con-countvectorizer-random-forest", "kernel_id": "86063013"}, {"ref": "kevingarciaespiritu/clasificaci-n-con-tf-idf-logistic-regression-v", "kernel_id": "86060657"}, {"ref": "anuch04/sentiment-analysis", "kernel_id": "86625233"}, {"ref": "dedquoc/nlp-processing-with-disaster-tweets-with-tf-keras", "kernel_id": "87668217"}, {"ref": "abhijeetyv/disaster-tweets-eda", "kernel_id": "87357322"}, {"ref": "amineipad/nlp-gettingstarted", "kernel_id": "87443407"}, {"ref": "ahmedxhamada/tweet-bert", "kernel_id": "87045834"}, {"ref": "pulkitmangal/notebook19cf461c8a", "kernel_id": "87849367"}, {"ref": "tabassumarshad/disaster-tweet-classification-with-nlp-ml-models", "kernel_id": "87399397"}, {"ref": "abhishekjaiswal4896/notebook77e19db9cb", "kernel_id": "87201231"}, {"ref": "habebamostafadesoky/day-8-nlp-nti", "kernel_id": "87232212"}, {"ref": "spyrospolemis/prac5", "kernel_id": "87958990"}, {"ref": "patiencenjeri/fastai-lesson4-getting-started-2024", "kernel_id": "87458679"}, {"ref": "gauripatil2299/classifying-disaster-tweets-with-nlp", "kernel_id": "87467209"}, {"ref": "akazawataku/notebook-c4", "kernel_id": "87336842"}, {"ref": "minkhant13/fastai-lesson4-getting-started-week5-task2", "kernel_id": "87522705"}, {"ref": "gaodoudou616/bert-test", "kernel_id": "87452413"}, {"ref": "gaodoudou616/finaltest-2bb1dd36c49", "kernel_id": "87428020"}, {"ref": "gaodoudou616/finaltest-2", "kernel_id": "87414019"}, {"ref": "gaodoudou616/test-simple", "kernel_id": "87390923"}, {"ref": "sshubhampal/nlp-disaster", "kernel_id": "87999590"}, {"ref": "panhsumyat/fastai-lesson4-getting-started-2024", "kernel_id": "87256622"}, {"ref": "fabianuchendu/fastai-lesson4-getting-started-2024", "kernel_id": "87771001"}, {"ref": "bcar12/prac05-task2", "kernel_id": "87513910"}, {"ref": "bunsetsu/notebook-robert", "kernel_id": "87662224"}, {"ref": "bunsetsu/notebookcecd48ff9", "kernel_id": "87337584"}, {"ref": "my34567/notebook7d357d0a0d", "kernel_id": "87337893"}, {"ref": "kodaitotsuka/disaster-totuka", "kernel_id": "87336943"}, {"ref": "yuuto0829/notebook5cbc68f997", "kernel_id": "87839745"}, {"ref": "aran0919/notebook56cd78b8f6", "kernel_id": "87850391"}, {"ref": "aran0919/notebook79e0d255bf", "kernel_id": "87625366"}, {"ref": "aran0919/notebook8a5c28c66e", "kernel_id": "87626728"}, {"ref": "nakataniosuke/notebook-nakatani2", "kernel_id": "87342103"}, {"ref": "nakataniosuke/notebook-osukedata1", "kernel_id": "87337021"}, {"ref": "fuji28/notebook43c23b16ea", "kernel_id": "87826602"}, {"ref": "kikikikijijijijij/notebook-c3-kikik", "kernel_id": "87487052"}, {"ref": "kikikikijijijijij/notebook-c3-jijijiji", "kernel_id": "87552299"}, {"ref": "kikikikijijijijij/notebook-c3-kikikikiki", "kernel_id": "87547412"}, {"ref": "kikikikijijijijij/notebook-c3-kitajima", "kernel_id": "87837976"}, {"ref": "hrknt8/g4-c7", "kernel_id": "87782718"}, {"ref": "ka06jn/notebookd8600e1339", "kernel_id": "87718260"}, {"ref": "ka06jn/notebook-c3-ka06jn", "kernel_id": "87672594"}, {"ref": "fhgfiy/notebookff5ec1092c", "kernel_id": "87843102"}, {"ref": "oguuuuuuus/notebook4cfb35d8b6", "kernel_id": "87823599"}, {"ref": "liuyingfei/notebookd92c3c5a05", "kernel_id": "87830790"}, {"ref": "sayatomonari/g4-c7-3a8626", "kernel_id": "87820906"}, {"ref": "gototomoki/notebook-c3-goto", "kernel_id": "87667070"}, {"ref": "kenseeeeeeimiki/notebook067dbdc715", "kernel_id": "87837686"}, {"ref": "kenseeeeeeimiki/notebooke5065838f9", "kernel_id": "87835662"}, {"ref": "kenseeeeeeimiki/notebook0a154e829c", "kernel_id": "87833762"}, {"ref": "fumitakaaa/notebook8c839245bc", "kernel_id": "87842088"}, {"ref": "proteinprotein/notebook-c3-proteinprotein", "kernel_id": "87669020"}, {"ref": "sakaguchiyukiya/fork-of-notebook2736404d24", "kernel_id": "87336571"}, {"ref": "kaitoyamaura/g4-c7", "kernel_id": "87836854"}, {"ref": "ayanematsuuchi/notebook", "kernel_id": "87663485"}, {"ref": "iseki0612/notebook-c3-iseki", "kernel_id": "87586639"}, {"ref": "miho44/notebook-c1-6f16f8", "kernel_id": "87335888"}, {"ref": "kt07182002/notebook5909bb86f7", "kernel_id": "87823853"}, {"ref": "u0oxo0u/notebook-c1-group", "kernel_id": "87335926"}, {"ref": "subeeeen/notebook05db4fe664", "kernel_id": "87829133"}, {"ref": "makidooon/notebook-c3-makidooon", "kernel_id": "87572549"}, {"ref": "c612532030/g4-c7-977f62", "kernel_id": "87828747"}, {"ref": "yanojunpei/notebook7d78fabd25", "kernel_id": "87996008"}, {"ref": "yanojunpei/notebook-c4", "kernel_id": "87339546"}, {"ref": "yosukeokamoto/notebook6cbfbb9996", "kernel_id": "87339570"}, {"ref": "lllkkkmmm/nlp-disaster-tweets-prediction-lstm-gru-glove", "kernel_id": "87521905"}, {"ref": "kirandeepkaur25/notebook9828bd6110", "kernel_id": "87258467"}, {"ref": "jcl1992/disaster-tweets-keras-embedding-convnet-jcl", "kernel_id": "88099566"}, {"ref": "jcl1992/disaster-tweets-tfidf-vectors-1-jcl", "kernel_id": "88476042"}, {"ref": "jcl1992/disaster-tweets-tfidf-vectors-2-jcl", "kernel_id": "88475580"}, {"ref": "jcl1992/disaster-tweets-keras-embedding-tfidf-jcl", "kernel_id": "88501058"}, {"ref": "joshuafinch/cp3501-prac05-task2", "kernel_id": "88495726"}, {"ref": "pnarkonuk/nlp-with-disaster-tweets", "kernel_id": "88661020"}, {"ref": "matejkamenicky/disaster-tweets-nlp-with-bert", "kernel_id": "88473287"}, {"ref": "kurtsanson/nlp-disaster-tweets-eda-for-classification", "kernel_id": "88011020"}, {"ref": "satyam1vishwakarma/natural-language-processing-with-disaster-tweets", "kernel_id": "88974669"}, {"ref": "parthavik/nlp-with-disaster-tweets", "kernel_id": "88078957"}, {"ref": "harshalpatil3558/disaster-tweets", "kernel_id": "88516402"}, {"ref": "harshalpatil3558/disaster-tweet-using-4-ann-3-ml-models", "kernel_id": "88724832"}, {"ref": "akiraxrd/pytorch-disaster-tweets-analysis-using-bert", "kernel_id": "88910575"}, {"ref": "zwenanda/prac5-task2", "kernel_id": "88146714"}, {"ref": "lynchrl/week-4-nlp-disaster-tweets-kaggle-mini-project", "kernel_id": "88902033"}, {"ref": "antonglushko1/notebook6a5ee4436f", "kernel_id": "88655619"}, {"ref": "byeongsunmoon/basic-nlp-on-disaster-tweets", "kernel_id": "88065833"}, {"ref": "aayb10/tf-idf-log-reg-for-tweet-classification-80-2", "kernel_id": "88559931"}, {"ref": "tsukasatokuyama/g4-c7-a63489", "kernel_id": "88005049"}, {"ref": "manishk26/nlp-with-disaster-tweets", "kernel_id": "88661695"}, {"ref": "jonathanliucboulder/nlp-disaster-tweets", "kernel_id": "88118507"}, {"ref": "kamalkishor1991/disaster-tweets-learn-finetuning-using-flan-t5", "kernel_id": "89593657"}, {"ref": "yarome/hw1-lc", "kernel_id": "89693794"}, {"ref": "zequanbear/disaster-sentiment-analysis-using-pure-ml", "kernel_id": "89730467"}, {"ref": "lvarogonzlezplaza/nlp-para-tweets-de-desastres", "kernel_id": "89484953"}, {"ref": "akiraxrd/jax-flax-disaster-tweets-analysis-with-bert", "kernel_id": "89050240"}, {"ref": "hlyanwintaung/fastai-lesson4-getting-started-2024-5718bb", "kernel_id": "89466388"}, {"ref": "jiahaixiong/notebook59edea3cf1", "kernel_id": "89295825"}, {"ref": "harshme3hta/nlp-disaster-tweets-2", "kernel_id": "89465278"}, {"ref": "neginmahboubfar/neginmahboubfar-disastertweetsbert", "kernel_id": "89899103"}, {"ref": "pardeep19singh/1-epoch-of-bert-large-uncased-is-all-we-need", "kernel_id": "90199189"}, {"ref": "gargginni01/twitter-tweet-disaster-management-tiny-bert", "kernel_id": "90693024"}, {"ref": "jeanpooljinezsorroza/disaster-tweets-pipeline", "kernel_id": "90970526"}, {"ref": "uuratl/base-bert", "kernel_id": "90397506"}, {"ref": "ardava/simple-bert-tutorial-lol", "kernel_id": "90412712"}, {"ref": "zequanbear/nlp-eda-bag-of-words-tf-idf-glove", "kernel_id": "90002530"}, {"ref": "jackjesse/fastai-lesson4-getting-started-2024", "kernel_id": "90920250"}, {"ref": "nilanjansaha123/83-acc-fine-tuned-model", "kernel_id": "90970237"}, {"ref": "nilanjansaha123/80-accuracy", "kernel_id": "90884297"}, {"ref": "njuspy/disaster-tweets", "kernel_id": "90999535"}, {"ref": "mosaicstat/notebook8c715a1425", "kernel_id": "90552304"}, {"ref": "bekobeko145/nlp-disaster", "kernel_id": "90096934"}, {"ref": "kjoonha/disaster-tweets-2025", "kernel_id": "91168519"}, {"ref": "anusharaisinghani/0-82-score-bert-model-parallel-gpu-training", "kernel_id": "91664246"}, {"ref": "sarazahran1/natural-language-processing-with-disaster-tweets", "kernel_id": "91526841"}, {"ref": "raynerds/nlp-tweets-with-tf-idf-and-logistic-regression", "kernel_id": "91396630"}, {"ref": "alyalokhmatova/hw1-lc", "kernel_id": "91345863"}, {"ref": "bluerevo/bertweet-for-disaster-tweets", "kernel_id": "91406240"}, {"ref": "njuspy/disaster-tweets-glove-bidirectional-lstm", "kernel_id": "91056723"}, {"ref": "njuspy/disaster-tweets-tfidf", "kernel_id": "91052584"}, {"ref": "burakcivelek/disaster-tweets-with-distilbert-lightningmodule", "kernel_id": "91683905"}, {"ref": "klausfeng/distilbert-base-uncased", "kernel_id": "91045276"}, {"ref": "nevilpatel/disaster-tweet-classification-by-fine-tuning-bert", "kernel_id": "92004654"}, {"ref": "tinatally/disaster-tweets-nlp", "kernel_id": "92146301"}, {"ref": "yunsuxiaozi/ettin-encoder-400m-nlpstarter-lb-0-826", "kernel_id": "92547970"}, {"ref": "pasoidorami/notebookadba28d732", "kernel_id": "92764060"}, {"ref": "tanaxd/hw1-lc", "kernel_id": "92083202"}, {"ref": "aljubair/nlp-disaster-tweet", "kernel_id": "92805563"}, {"ref": "boningcui/disastertweets", "kernel_id": "92986407"}, {"ref": "kamalkishor1991/learn-finetuning-using-flan-detailed", "kernel_id": "93321033"}, {"ref": "semipro/nlp-disaster-tweets-deberta-pytorch", "kernel_id": "93718171"}, {"ref": "ceecreative/natural-language-processing-with-disaster-tweets", "kernel_id": "93915159"}, {"ref": "patrickckay/m7-nlp-improved", "kernel_id": "93745052"}, {"ref": "hamidehgholipour/tweetnlp-pipeline-eda-bertweet-lightgbm-ensemble", "kernel_id": "93734979"}, {"ref": "fenilchodvadiya/wine-quality-prediction-using-machine-learning", "kernel_id": "93015409"}, {"ref": "georgebasiev/tf-idf-logreg-complementnb-and-bert", "kernel_id": "93810951"}, {"ref": "orionaraf/disaster-tweets-classification", "kernel_id": "93985576"}, {"ref": "awguhst/disaster-tweets-fine-tuning-bert", "kernel_id": "93213758"}, {"ref": "anthonytherrien/natural-language-processing-with-disaster-tweets", "kernel_id": "94407819"}, {"ref": "sohamaversekar/tweetnlp-pipeline-eda-bertweet-lightgbm-ensemble", "kernel_id": "94984906"}, {"ref": "harrykesh/classical-nlp-lb-0-75", "kernel_id": "94691872"}, {"ref": "chanchalsaha7/disaster-tweet", "kernel_id": "94153040"}, {"ref": "tashrif07/nlp-disaster-tweets", "kernel_id": "94147912"}, {"ref": "alexdavidson1995/nlp-disaster-tweets-preprocessing-and-tf-idf", "kernel_id": "95244868"}, {"ref": "alexdavidson1995/nlp-disaster-tweets-lr-nb-lstm-bert-comparison", "kernel_id": "95033628"}, {"ref": "m4rcuseryx/avoiding-the-disaster", "kernel_id": "95156386"}, {"ref": "abc973/lstm-tutorial", "kernel_id": "95254785"}, {"ref": "jackouhai/getting-started-with-lstm-for-nlp", "kernel_id": "95127304"}, {"ref": "muhammadridhohidayat/gan-project", "kernel_id": "95480212"}, {"ref": "dunghoangzzz/getting-started-with-lstm-for-nlp", "kernel_id": "95128196"}, {"ref": "phmthnhduy/getting-started-with-lstm-for-nlp", "kernel_id": "95130256"}, {"ref": "liamislazy/nlp-beginner", "kernel_id": "95156826"}, {"ref": "hmnshudhmn24/nlp-with-disaster-tweets-competition", "kernel_id": "95099855"}, {"ref": "johnsonhk88/nlp-with-disaster-tweets-mlp", "kernel_id": "96262569"}, {"ref": "alivasisari/natural-language-processing-with-disaster-tweets", "kernel_id": "96077047"}, {"ref": "lovekumar143/basic-implementation-of-nlp-with-disaster-tweets", "kernel_id": "96345236"}, {"ref": "tranminhkhuongk18hl/getting-started-with-lstm-for-nlp", "kernel_id": "96503071"}, {"ref": "iftekharcs/fixed-kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "96003454"}, {"ref": "quangnguynv/nlp-logistic-regression", "kernel_id": "96598812"}, {"ref": "mouhamadkounta/notebookd83e0715ab", "kernel_id": "97994889"}, {"ref": "sivanarutselvi/lstm-gru-models", "kernel_id": "97850461"}, {"ref": "yunsuxiaozi/ettin-encoder-1b-lora-for-seqclass", "kernel_id": "97074332"}, {"ref": "rishabhkannaujiya/nlp-with-disaster-tweets", "kernel_id": "97439238"}, {"ref": "berkayzkan/rank-8-solution-roberta-large", "kernel_id": "98580974"}, {"ref": "narendradarla/basic-nlp-on-disaster-tweets", "kernel_id": "98729747"}, {"ref": "andrianperdana/week1", "kernel_id": "98024830"}, {"ref": "khenramos/disaster-tweets-challenge", "kernel_id": "98919376"}, {"ref": "drewdeli/notebook9967752de6", "kernel_id": "98482541"}, {"ref": "maxvitinsh/disaster-tweets-attempt1", "kernel_id": "98635564"}, {"ref": "daniilkrizhanovskyi/nlp-disaster-tweets-distilbert-solution", "kernel_id": "98201927"}, {"ref": "jasonweeks/ai-group-14", "kernel_id": "99152805"}, {"ref": "dxeeeee/notebook1cc44d5c50", "kernel_id": "99912886"}, {"ref": "samithsachidanandan/text-classification-using-tensorflow", "kernel_id": "100465230"}, {"ref": "zuoyoufengyuan/sentence-transformers-svm", "kernel_id": "100912627"}, {"ref": "zubair2930/final-project", "kernel_id": "101538642"}, {"ref": "kythhlwa/notebook94703ff2e8", "kernel_id": "101706903"}, {"ref": "andrianperdana/notebook8c16075549", "kernel_id": "101271759"}, {"ref": "fahrianjaymabar/natural-language-processing-with-disaster-tweets", "kernel_id": "101456656"}, {"ref": "hajimimanbobo/nlp-fnl", "kernel_id": "101929701"}, {"ref": "aritropal/disaster-tweets-ml", "kernel_id": "102997530"}, {"ref": "mminbaol/nlp-with-disaster-tweets", "kernel_id": "102861028"}, {"ref": "vardandavtyan2005/finetuning-bert-for-tweet-sentiment-predict-fb02bf", "kernel_id": "102888391"}, {"ref": "actoweed/3315-vidyaev-2", "kernel_id": "102892614"}, {"ref": "pchelka1234/lab-2", "kernel_id": "102352143"}, {"ref": "moxha4/notebook16049c64f7", "kernel_id": "102334000"}, {"ref": "doganatmaca/nlpclassification-79", "kernel_id": "102270832"}, {"ref": "yashpatil005/nlp-with-disaster-tweets-using-bert-model", "kernel_id": "102774253"}, {"ref": "rashi40/traditional-model-lstm-based-nlp-disaster-tweets", "kernel_id": "102763499"}, {"ref": "handeharmankaya/disaster-tweets-analysis", "kernel_id": "102377950"}, {"ref": "afr1ste/afr1ste-s-answer-for-nlp-with-disaster-tweets", "kernel_id": "102327735"}, {"ref": "alexanderromanoff/lb-2-natural-language-processing-with-disasters", "kernel_id": "102439186"}, {"ref": "red1t0mt/notebook3b12e90fae", "kernel_id": "102359261"}, {"ref": "lazarevaleksandr/nlp-comp", "kernel_id": "102481585"}, {"ref": "artemochcka69/notebook8b1ab57549", "kernel_id": "102266068"}, {"ref": "shurochka2025/notebook3fe9c8fca2", "kernel_id": "102277992"}, {"ref": "sanyamsaxena2004/c-i-r-a", "kernel_id": "102424735"}, {"ref": "aritropal/disaster-tweets-lstm", "kernel_id": "103559814"}, {"ref": "aritropal/disaster-tweets-bertweet", "kernel_id": "103883520"}, {"ref": "ongjiunjer/nlp-with-disaster-tweets-bert", "kernel_id": "103353552"}, {"ref": "deepika0405/notebook9ac6a27548", "kernel_id": "103263463"}, {"ref": "madhavankonebaskaran/disaster-tweets-word2vec-tf-idf-81-acc", "kernel_id": "103729331"}, {"ref": "colinheider/nlp-with-disaster-tweets", "kernel_id": "103820846"}, {"ref": "jacqhorizon/nlp-competition", "kernel_id": "103228321"}, {"ref": "d1strnl/notebook68aba87d76", "kernel_id": "103191890"}, {"ref": "walmsleylab/disaster-tweets", "kernel_id": "103600393"}, {"ref": "itsyoursumit/nlp-disaster-comp-subm", "kernel_id": "104324425"}, {"ref": "kirkcorwin/disaster-tweets-comp-notebook", "kernel_id": "104063202"}, {"ref": "abdelkrimrekbi/model-mesii", "kernel_id": "104291632"}, {"ref": "abdelkrimrekbi/model-messi", "kernel_id": "104291035"}, {"ref": "yousseflaar/notebook75fc0b2830", "kernel_id": "104957111"}, {"ref": "romkakuskin/lab3-2", "kernel_id": "104344671"}, {"ref": "nkvbkdvf/notebook4f3b50ff62", "kernel_id": "104322412"}, {"ref": "xsertiym/notebook9ee1095e27", "kernel_id": "104547613"}, {"ref": "soukainakhodder/notebook8b73351e52", "kernel_id": "104813560"}, {"ref": "sinanfarook/my-first-nlp-experience", "kernel_id": "105915851"}, {"ref": "rodnenkiy/untitled4", "kernel_id": "105771948"}, {"ref": "manarsaber/tweets-classification-bert", "kernel_id": "105990092"}, {"ref": "smrmai/disaster-tweets-nlp-classification", "kernel_id": "105325290"}, {"ref": "twdanielcheng112/datamining-finalproject-transformer", "kernel_id": "105089899"}, {"ref": "twdanielcheng112/datamining-finalproject-sklearn", "kernel_id": "105093285"}, {"ref": "muhammedderric/nlp-course-level-2-intermediate-lstm", "kernel_id": "105905324"}, {"ref": "muhammedderric/nlp-course-level-4-llm-rag", "kernel_id": "105968464"}, {"ref": "muhammedderric/nlp-course-level-3-bert-ipynb", "kernel_id": "105965173"}, {"ref": "vedantgawande04/notebook237500b98c", "kernel_id": "105766740"}, {"ref": "uma234/disaster-tweets-classification-roc-auc-0-84", "kernel_id": "105307529"}, {"ref": "baopv05/disaster-tweets-classification", "kernel_id": "105885202"}, {"ref": "annhung/notebook83f8644817", "kernel_id": "105035783"}, {"ref": "zehryt/notebook96c0167ea9", "kernel_id": "105842062"}, {"ref": "djedai99/tweetchase", "kernel_id": "105481130"}, {"ref": "yiting412007/notebook391d07ff6f", "kernel_id": "105045930"}, {"ref": "ivyhsieh0118/notebookab3bfc93ff", "kernel_id": "105382749"}, {"ref": "yccccccc21/41247026s", "kernel_id": "105128069"}, {"ref": "moonaattef/nlp-getting-started-tutorial", "kernel_id": "105114858"}, {"ref": "ibrhm24/notebookf1d927b6d6", "kernel_id": "105161779"}, {"ref": "daanka/nlpdisastertweets", "kernel_id": "105050278"}, {"ref": "leonjye/fine-tuning-bert-for-text-classification", "kernel_id": "106764479"}, {"ref": "masanakashima/nlp-disaster-tweets-tfidf-lgbm", "kernel_id": "106219802"}, {"ref": "masanakashima/nlp-disaster-tweets-tfidf-lgbm-v2", "kernel_id": "106220560"}, {"ref": "masanakashima/nlp-disaster-tweets-expert-visuals-0-82", "kernel_id": "106494405"}, {"ref": "garvsachdeva0205/nlp-disaster-tweets-tf-idf-logistic-regression", "kernel_id": "106097363"}, {"ref": "kunalkashyap29/nlp-diaster-prediction", "kernel_id": "106075092"}, {"ref": "rashi40/nlp-with-disaster-tweets-using-svc", "kernel_id": "106083898"}, {"ref": "kirankarakalli/nlp-with-disaster-tweets", "kernel_id": "107432673"}, {"ref": "surenvayradyan/eda-pytorch-hugging-face", "kernel_id": "107059229"}, {"ref": "cosheimil/8-nlp-advanced", "kernel_id": "107821322"}, {"ref": "cosheimil/7-nlp-lesson", "kernel_id": "107258504"}, {"ref": "praiseebo/nlp-with-corona-virus-tweets", "kernel_id": "107446721"}, {"ref": "jacomomanfredi/bert-disaster-nlp", "kernel_id": "107086812"}, {"ref": "lakhindarpal/bertweet-fine-tune-nlp-with-disaster-tweets-eda", "kernel_id": "107742685"}, {"ref": "fernandadeltoro/learning-nlp-with-kaggle", "kernel_id": "107992760"}, {"ref": "ejemenusoh/nlp-with-disaster-tweet", "kernel_id": "107229576"}, {"ref": "akiraxrd/lora-bert-eradicating-disaster-tweets", "kernel_id": "107621674"}, {"ref": "hussienwaleed/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "107156956"}, {"ref": "edwardjohnwashins/nature-language", "kernel_id": "107199517"}, {"ref": "huangxin14/fine-tune-bert-for-text-classification", "kernel_id": "107808489"}, {"ref": "maekeso/facebookai-roberta-base", "kernel_id": "108932807"}, {"ref": "thrmlpwrd/fine-tune-bert-for-text-classification", "kernel_id": "108450355"}, {"ref": "thrmlpwrd/tf-idf-multi-model-classification", "kernel_id": "108195477"}, {"ref": "flakkyddon/sentiment-analysis-using-reddit-post", "kernel_id": "108836107"}, {"ref": "suhanigupta04/disaster-tweet-classification-using-roberta", "kernel_id": "108854740"}, {"ref": "phiduyanh/fine-tune-bert-for-disaster-tweets-classification", "kernel_id": "108491929"}, {"ref": "takatophy/disaster-tweets-tf-idf-vs-word2vec-vs-bert", "kernel_id": "108152516"}, {"ref": "sarvagyasharma10/disaster-tweet-classifier", "kernel_id": "108209899"}, {"ref": "kayamiaki/solution-1", "kernel_id": "108496753"}, {"ref": "leyuzakoksoken/nlp-with-disaster-tweets", "kernel_id": "108253195"}, {"ref": "vishaljeyam/nlp-disaster-tweets", "kernel_id": "109178221"}, {"ref": "gehadabdulaziz/natural-language-processing-with-disaster-tweets", "kernel_id": "109266087"}, {"ref": "rhythmghai/roberta-disaster-tweet-detector", "kernel_id": "109409002"}, {"ref": "enesyama/nlp-disastertweets", "kernel_id": "109085274"}, {"ref": "juliomelendezelera/disastertweet", "kernel_id": "109921409"}, {"ref": "lorenzoscaturchio/nlp-disaster-tweets-bert-guide", "kernel_id": "110287717"}, {"ref": "ctrubinov/notebooke5c0300b68", "kernel_id": "110199312"}, {"ref": "cerxxxx/nlp-with-disaster-tweets", "kernel_id": "110742832"}, {"ref": "rishanratha/notebook48b4d94472", "kernel_id": "110970273"}, {"ref": "mykolatsaryk/notebook642e3da616", "kernel_id": "110803590"}, {"ref": "josehaman/sextoenvio", "kernel_id": "110997765"}, {"ref": "nhatthiennguyen/task-2-nhat-thien-nguyen", "kernel_id": "110921622"}, {"ref": "muchzannurnadhif/nlp-with-disastert-cv4", "kernel_id": "110851700"}, {"ref": "ririko721/notebookcd820c706d", "kernel_id": "110901330"}, {"ref": "wh123a/notebook28c991451d", "kernel_id": "110904196"}, {"ref": "guokimi/fastai-lesson4-getting-started-2024", "kernel_id": "110970581"}, {"ref": "weiliangli3501/notebookaca971c07a", "kernel_id": "110630083"}, {"ref": "zaikunzheng/fastai-lesson4-getting-started-2024", "kernel_id": "110900952"}, {"ref": "zaikunzheng/notebook092a2face8", "kernel_id": "110898251"}, {"ref": "zaikunzheng/notebookf6f6dd75f2", "kernel_id": "110896823"}, {"ref": "guanyulujcu/fastai-lesson4-getting-started-2024", "kernel_id": "110466991"}, {"ref": "kennardlime/disaster-tweets", "kernel_id": "110976500"}, {"ref": "linnn01/prac-05-task2", "kernel_id": "110613990"}, {"ref": "winn0w/fastai-lesson4-getting-started-2024", "kernel_id": "110969987"}, {"ref": "platonperov/nlp-hw-ml", "kernel_id": "111866043"}, {"ref": "emrebaranarca/basic-nlp", "kernel_id": "111719675"}, {"ref": "nguyntthongvit/nlp-with-disaster-tweet", "kernel_id": "111421922"}, {"ref": "marcomars/notebook24e677d8eb", "kernel_id": "111409139"}, {"ref": "kemaldemirba/disaster-nlp-engine", "kernel_id": "111742569"}, {"ref": "adwaittagalpallewar/tweet-classification-fine-tuning-bert-pytorch", "kernel_id": "112490854"}, {"ref": "muhammadhassan4356/nlp-with-disaster-tweets-hassan-shabbir", "kernel_id": "112191161"}, {"ref": "nihalba/disaster-tweets-analysis", "kernel_id": "113990290"}, {"ref": "pgurupriya/disaster-tweets-tf-idf-bilstm-ensemble", "kernel_id": "113871709"}, {"ref": "ebjdoe/nlp-disaster-tweets-eda-and-baseline", "kernel_id": "113043595"}, {"ref": "rohitv18/nlp-twitter-lstm-bert", "kernel_id": "113190829"}, {"ref": "kingchun1991/nlp-disaster-tweets-spacy-baseline", "kernel_id": "114533360"}, {"ref": "apachikoff/disaster-tweets-tf-idf-bilstm-ensemble", "kernel_id": "114920630"}, {"ref": "apachikoff/excercise-nlp-with-disaster-tweets", "kernel_id": "114919844"}, {"ref": "rabianaz22/disaster-tweets-tf-idf-vs-bilstm-vs-bert", "kernel_id": "114587382"}, {"ref": "kshitij121/notebook-for-disaster-tweets-nlp", "kernel_id": "114272857"}, {"ref": "vashuslonlyfans/tweet-nlp", "kernel_id": "114619422"}, {"ref": "capuche349/projet-big-data", "kernel_id": "114135552"}, {"ref": "shilpabera2025/nlp-disaster-tweets-distilbert-fine-tuned", "kernel_id": "114762996"}, {"ref": "juniorcl/disaster-tweets-classification-e5-embedding", "kernel_id": "115944842"}, {"ref": "affection/83-6-accuracy-bert-nlp", "kernel_id": "115377673"}, {"ref": "amlear/nlp-course-level-3-bert-ipynb", "kernel_id": "115156399"}, {"ref": "amlear/disaster-tweets-nlp-classification", "kernel_id": "115159309"}, {"ref": "rutviksuhagiya24/group4-final", "kernel_id": "115269641"}, {"ref": "siddartha4/nlp-scikit-learn", "kernel_id": "115371023"}, {"ref": "zynptkn06/natural-language-processing-with-disaster-tweets", "kernel_id": "115855030"}, {"ref": "juanillaberia/traditional-ml-vs-fine-tuned-transformers", "kernel_id": "116756195"}, {"ref": "transformer1/disaster-tweets-bow-vs-tf-idf-vs-word2vec-vs-bert", "kernel_id": "116280583"}, {"ref": "tugcebasyigit/nlp-with-disaster-tweets", "kernel_id": "116650021"}, {"ref": "prathikshamulgund/notebook255ccc401a", "kernel_id": "116537418"}, {"ref": "shamaislam/natural-language-process", "kernel_id": "116163325"}, {"ref": "jek1wantaufik/disaster-tweets-classification-with-distilbert", "kernel_id": "116692654"}, {"ref": "hittmg/260502nlp-wdisastertweet-day1-tf-idf", "kernel_id": "117541724"}, {"ref": "uladzislautsetserau/uladzislau-tsetserau-60345", "kernel_id": "117387756"}, {"ref": "hasanpireci/nlp-disaster-tweets-roberta-5-fold-top-5", "kernel_id": "117993067"}, {"ref": "divvelaashish/nlp-with-hugging-face-transformers", "kernel_id": "117999768"}, {"ref": "hasreterdogan/disaster-tweet-classification-using-nlp", "kernel_id": "117621699"}, {"ref": "hittmg/260509nlp-wdisastertweet-day2-7-tf-idf-scores", "kernel_id": "118478029"}, {"ref": "hittmg/260509nlp-wdisastertweet-day2-6-tf-idf-dict", "kernel_id": "118475488"}, {"ref": "hittmg/260509nlp-wdisastertweet-day2-2-tf-idf-3-gram", "kernel_id": "118442152"}, {"ref": "hittmg/260509nlp-wdisastertweet-day2-3-tf-idf-1-gram", "kernel_id": "118442428"}, {"ref": "hittmg/260509nlp-wdisastertweet-day2-4-tf-idf-sublinear", "kernel_id": "118442985"}, {"ref": "hittmg/260509nlp-wdisastertweet-day2-5-tf-idf-dict", "kernel_id": "118447766"}, {"ref": "hittmg/260509nlp-wdisastertweet-day2-1-miss-analysis", "kernel_id": "118438307"}, {"ref": "gauravfs14/transformer-cnn", "kernel_id": "118020399"}, {"ref": "basaktamer/natural-language-processing-with-disaster-tweets", "kernel_id": "118777562"}, {"ref": "hittmg/260516nlp-wdisastertweet-day3-1-word2vec", "kernel_id": "119410574"}, {"ref": "pavithrakumarsahu/nlp-with-disaster-tweets", "kernel_id": "119589912"}, {"ref": "duongnguyen161/nlp-disaster-texts-classification-pipeline", "kernel_id": "119623963"}, {"ref": "hseyin123987/nlp-pipeline-for-disaster-tweet-detection", "kernel_id": "119924120"}, {"ref": "hittmg/260523nlp-wdisastertweet-day4-glove", "kernel_id": "120250677"}, {"ref": "takundak/notebookd6219add06", "kernel_id": "120757539"}, {"ref": "simplexcomplex/nlp-with-disaster-tweets-using-roberta-large", "kernel_id": "120881834"}, {"ref": "krishsharma36907/notebook76d50be751", "kernel_id": "120820970"}, {"ref": "just404/notebook5e8f6535ba", "kernel_id": "120827110"}, {"ref": "hittmg/260606nlp-wdisastertweet-day6-self-attention", "kernel_id": "121800950"}, {"ref": "hittmg/260530nlp-wdisastertweet-day5-fasttext", "kernel_id": "121042531"}, {"ref": "zahramollaey/disaster-tweets-bert-deeplearning", "kernel_id": "121516258"}, {"ref": "danialjafariii/tweet-classification-nlp-ds-nexus", "kernel_id": "121691814"}, {"ref": "wangfangmin/notebooke6a9f02d26", "kernel_id": "121637078"}, {"ref": "wangfangmin/notebookf9666fb9e2", "kernel_id": "121759025"}, {"ref": "mehmetcano/notebook04eea2239a", "kernel_id": "121803519"}, {"ref": "hittmg/260612nlp-wdisastertweet-day7-bert-visualize", "kernel_id": "122718081"}, {"ref": "joshuanguyenolson/nlp-with-disaster-tweets-kerasnlp-distilbert", "kernel_id": "122170334"}, {"ref": "montasirpavel/nlp-with-disaster", "kernel_id": "122092917"}, {"ref": "souvikchatterjee080/notebook2d55212b12", "kernel_id": "122622336"}, {"ref": "sambarrett1/cp3501-prac-04-part-02-samuelbarrett", "kernel_id": "122846660"}, {"ref": "jessepurcell/fastai-lesson4-getting-started-2024", "kernel_id": "122252313"}, {"ref": "amirhosseinzandi/twitter-disaster-detector", "kernel_id": "122098197"}, {"ref": "m3nd0z4/nlp-with-disaster-tweets", "kernel_id": "122092005"}, {"ref": "younghoocheon/fastai-lesson4-getting-started-2024-15a798", "kernel_id": "122130790"}, {"ref": "chuanjunlu/fastai-lesson4-getting-started-2024", "kernel_id": "122128229"}, {"ref": "zhaoyouyang/fastai-lesson4-getting-started-2024-7b4ca3", "kernel_id": "122128579"}, {"ref": "floralsu/fastai-lesson4-getting-started-2024-426493", "kernel_id": "122127021"}, {"ref": "lztsai/task2-nlp-disaster-tweets", "kernel_id": "122127858"}, {"ref": "lztsai/zztest-task2env", "kernel_id": "122127711"}, {"ref": "isaacwsh/notebook1efee71def", "kernel_id": "122128134"}, {"ref": "asuka520/week4-task2", "kernel_id": "122144968"}, {"ref": "mhskaya/natural-language-processing-with-disaster-tweets", "kernel_id": "122887528"}, {"ref": "zhangdavid01/fastai-lesson4-getting-started-2024", "kernel_id": "122145857"}, {"ref": "brockallen/fastai-lesson4-getting-started-2024", "kernel_id": "122812002"}, {"ref": "prabhshersingh/prac-4-task2-disaster-tweets-prab-singh", "kernel_id": "122342477"}, {"ref": "ryanericson/notebooka9f5577f0f", "kernel_id": "122264643"}, {"ref": "yixuanteoo/fastai-lesson4-getting-started-2024", "kernel_id": "122121443"}, {"ref": "bennychawoonloong/fastai-lesson4-getting-started-2024", "kernel_id": "122125936"}, {"ref": "sunday529/fastai-lesson4-getting-started-2024-706966", "kernel_id": "122126848"}, {"ref": "lautsztsun/fastai-lesson4-getting-started-2024", "kernel_id": "122135589"}, {"ref": "wang1234509/task2", "kernel_id": "122145235"}, {"ref": "chongjiemo/w4task2", "kernel_id": "122436211"}, {"ref": "chiranjeeb2003/task2nlp-chiranjeeb", "kernel_id": "122956252"}, {"ref": "kbpooja/twitter-disasters", "kernel_id": "123094107"}, {"ref": "hittmg/260620nlp-wdisastertweet-day8-bert-fine-tuning", "kernel_id": "123945123"}, {"ref": "muhammedtausif/disaster-tweets-classification-nlp-baseline-mode", "kernel_id": "123261058"}, {"ref": "rezashokrzad/bertweet-f1-0-8049-clean-5-fold-no-leaks", "kernel_id": "123386370"}, {"ref": "jianggefafengla123/notebook6ca9a88e38", "kernel_id": "123413119"}, {"ref": "shuomingliu/fastai-lesson4-getting-started-2024", "kernel_id": "123208073"}, {"ref": "selomeze/natural-langauge-processing-with-disaster-tweets", "kernel_id": "123586785"}, {"ref": "libozhi/prac4-task2", "kernel_id": "123006768"}, {"ref": "shizonglin/nlp-getting-started-disaster-tweets-tfidf", "kernel_id": "123110360"}, {"ref": "hittmg/260627nlp-wdisastertweet-day9-bert-mod-params", "kernel_id": "124963471"}, {"ref": "n84y2846/notebookb9d7cefa9e", "kernel_id": "124317931"}, {"ref": "nishantdiwate/nlp-disaster-tweets-tf-idf-bert", "kernel_id": "124032229"}, {"ref": "muskangait/muskan-gait", "kernel_id": "124596603"}, {"ref": "yijieliscott/notebook89e4cd7c81", "kernel_id": "124153356"}, {"ref": "muruxuan/prac-5-task-2", "kernel_id": "124177373"}, {"ref": "krishnaharish1/disaster-tweets-tf-idf-logistic-regression", "kernel_id": "124419106"}, {"ref": "jannatulferdaues/nlp-with-disaster-tweets", "kernel_id": "124872065"}, {"ref": "manumatute01/a4-lazaro-matute-sarmiento-sv17", "kernel_id": "124673088"}, {"ref": "abdulbasitkolade/nlp-ml-disaster-tweets-classification", "kernel_id": "124206447"}, {"ref": "moekhant/prac-4-task2", "kernel_id": "124354982"}, {"ref": "minadukki/nutural-tweets", "kernel_id": "124888517"}, {"ref": "m18b0919/data-science-nlp", "kernel_id": "124886471"}, {"ref": "yue0606xu/notebook3c5cd4b15c", "kernel_id": "124721730"}, {"ref": "liamob96/simple-neural-network", "kernel_id": "125438162"}, {"ref": "yuhanwang717/notebookc0d27e7f3c", "kernel_id": "125839647"}, {"ref": "soyyyau/nlp-disaster-tweets", "kernel_id": "125400974"}, {"ref": "natashasingh20/tweets-nlp", "kernel_id": "125435617"}, {"ref": "harrisonokane/cp3501-prac04-disaster-tweets", "kernel_id": "125584430"}, {"ref": "kerinoras/prac4-task2", "kernel_id": "125375684"}, {"ref": "chippanda/disaster-tweets-journey-0-85", "kernel_id": "125000062"}, {"ref": "m18b0919/datascience-ver3", "kernel_id": "125775198"}, {"ref": "minamizawayuu/notebookc08abcbeab", "kernel_id": "125776408"}, {"ref": "tsutsumitoa/kerasnlp-starter-notebook-disaster-tweets", "kernel_id": "125778935"}, {"ref": "hayashi1613/notebook5eec478df1", "kernel_id": "125777504"}, {"ref": "c612632010/notebook-yamaguchi", "kernel_id": "125774048"}, {"ref": "harshitas04/week-4-2", "kernel_id": "125225139"}, {"ref": "mayckra/examenfinal-nlp-disastertweets", "kernel_id": "125002206"}, {"ref": "yudaimima/notebook-0-84370", "kernel_id": "126255326"}, {"ref": "tharishreddy22/tf-idf-linear-svm-disaster-tweets-classification", "kernel_id": "126214894"}, {"ref": "pranamkumarchand/disaster-tweets-prediction-model-v0-3", "kernel_id": "126722074"}, {"ref": "minadukki/k-fold", "kernel_id": "126592104"}, {"ref": "k03151/disastertweets", "kernel_id": "126366005"}, {"ref": "fujikawaakua/datascience-akua", "kernel_id": "126496109"}, {"ref": "yudaiyyyy/notebookaf7c7f1fce", "kernel_id": "126551805"}, {"ref": "mimibaeya/notebookc0d27e7f3c", "kernel_id": "126532923"}, {"ref": "kokiyoshida06/datascience", "kernel_id": "126564257"}, {"ref": "lililliililill/disastertweets", "kernel_id": "126563896"}, {"ref": "nitanita1/notebookb6b6129421", "kernel_id": "126563508"}, {"ref": "tshogo/notebook0735e956c1", "kernel_id": "126565421"}, {"ref": "amralhorimy/tweets", "kernel_id": "126167063"}, {"ref": "rafun23/notebook2622fbc4ef", "kernel_id": "126408420"}, {"ref": "maximosa/notebook-nlp-task", "kernel_id": "127887290"}, {"ref": "yudaimima/notebook-yudaimima", "kernel_id": "127548371"}, {"ref": "yudaimima/notebook-ensemble", "kernel_id": "127330885"}, {"ref": "minamizawayuu/notebook6ab31287e6", "kernel_id": "127559839"}, {"ref": "tsutsumitoa/notebookae95ef133b", "kernel_id": "127557819"}, {"ref": "tsutsumitoa/notebook96aac2a2ee", "kernel_id": "127559256"}, {"ref": "hachi8836/notebookac51358dce", "kernel_id": "127591995"}, {"ref": "kumekosuke/nature-language1", "kernel_id": "127557105"}, {"ref": "yamashitamomoko/notebook-yamashita", "kernel_id": "127716888"}, {"ref": "otatakehana/notebook50871aad39", "kernel_id": "127559729"}, {"ref": "numami/disastertweets", "kernel_id": "127557324"}, {"ref": "hongtrnghiu/natural-language-processing-with-disaster-tweets-l", "kernel_id": "128252265"}, {"ref": "joshuahargreaves/josh-s-natural-language-processing-model", "kernel_id": "128023914"}, {"ref": "joshuahargreaves/josh-s-custom-text-classifier", "kernel_id": "128466615"}, {"ref": "dungle2007/notebooke4264dd12d", "kernel_id": "128104688"}, {"ref": "aounyoussef/one-cell-perfect-accuracy", "kernel_id": "128496594"}, {"ref": "minadukki/notebook9a1a6c02af", "kernel_id": "128231082"}, {"ref": "ysresearch/notebook", "kernel_id": "128446751"}, {"ref": "harutotakumi/notebookf3007b1cfc", "kernel_id": "128448548"}, {"ref": "pamikora/notebook9a9a9f99f9", "kernel_id": "128448355"}, {"ref": "saekirintaro/notebook4dee6c16cc", "kernel_id": "128448222"}, {"ref": "sonemizuki/notebook158bf1121b", "kernel_id": "128328340"}, {"ref": "katsuratakumi/notebook332b2ae9b2", "kernel_id": "128448123"}, {"ref": "txttaeh/notebook7ac309cfdd", "kernel_id": "128449638"}, {"ref": "utkarshtomar736/nlp-00", "kernel_id": "129159909"}, {"ref": "shashvatsingham/f1-is-not-maximised-at-0-5", "kernel_id": "130546502"}, {"ref": "vincenthwq/nlp-getting-started", "kernel_id": "130908065"}, {"ref": "kenzyashraf/distilbert", "kernel_id": "130368530"}, {"ref": "ikkimasuta/baseline-note", "kernel_id": "130295279"}, {"ref": "shadab80k/building-stateful-disaster-tweet-triage-agent", "kernel_id": "130177125"}, {"ref": "vinay24baghira/disaster-tweets-tf-idf-to-bert-full-guide", "kernel_id": "130625997"}, {"ref": "chaitanyajamble/disaster-tweet-classifier-2", "kernel_id": "130419299"}, {"ref": "visualcomments/nlp-transformers-webinar-disaster-tweets", "kernel_id": "131925638"}, {"ref": "rkrohitkumar/nlp-with-diasater-tweets", "kernel_id": "131372936"}, {"ref": "darulislam2233081316/notebook6edc760fdf", "kernel_id": "131260379"}, {"ref": "kureeltanishq/nlp-with-disaster-tweets-rnn", "kernel_id": "132112536"}, {"ref": "jiatyan/baseline-tf-idf-logistic-and-bert", "kernel_id": "132960766"}, {"ref": "teudepdzai/baseline-tfidf-transformer", "kernel_id": "132325278"}, {"ref": "saqrameen/notebook60ffaf2d07", "kernel_id": "134622040"}, {"ref": "mohammadashki/notebook2d81dd4463", "kernel_id": "134994042"}, {"ref": "nilabllc/disaster-tweets-grouped-holdout-audit", "kernel_id": "134032888"}, {"ref": "kitkatbar0429/jev-vs-llm-comparison", "kernel_id": "135057890"}, {"ref": "anmolgomra/nlp-ai602", "kernel_id": "135930255"}, {"ref": "randynho/nlp-getting-started", "kernel_id": "135360726"}, {"ref": "revananthony/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "135695851"}, {"ref": "datascikhan/debertav3-nlp-disaster-ensemble", "kernel_id": "135015250"}]}
{"competition_id": "17778", "kernels": []}
{"competition_id": "17779", "kernels": []}
{"competition_id": "17781", "kernels": []}
{"competition_id": "17782", "kernels": []}
{"competition_id": "17784", "kernels": []}
{"competition_id": "17787", "kernels": []}
{"competition_id": "17797", "kernels": []}
{"competition_id": "17800", "kernels": [{"ref": "vipito/fork-of-santa-ip", "kernel_id": "7201233"}, {"ref": "seshurajup/eda-for-santa-2019-revenge-of-the-accountants", "kernel_id": "7190751"}, {"ref": "shrutimechlearn/santa-returns-workshop-explorers-wave-1-vs-wave-2", "kernel_id": "7218391"}, {"ref": "grapestone5321/santa-2019-sample-submission", "kernel_id": "7191313"}, {"ref": "golubev/baseline", "kernel_id": "7199272"}, {"ref": "golubev/mip-optimization-preference-cost-santa2019revenge", "kernel_id": "7242344"}, {"ref": "jazivxt/santa-opt-v2", "kernel_id": "7199037"}, {"ref": "drcapa/santa-tour-revenge-bazaar", "kernel_id": "7277054"}, {"ref": "hs999518/santa-clause", "kernel_id": "7206495"}, {"ref": "lparker7/assignment-2", "kernel_id": "9817763"}, {"ref": "callumgedling/callum-gedling-assignment-2", "kernel_id": "9678986"}]}
{"competition_id": "17804", "kernels": [{"ref": "averkij/baseline-with-submission", "kernel_id": "7285289"}, {"ref": "vladbalan/simpsons", "kernel_id": "7374379"}, {"ref": "vkhanev/be-a-hoot", "kernel_id": "7162913"}, {"ref": "sergejvaraksin/simpsons-25-01-20", "kernel_id": "7675417"}, {"ref": "sergejvaraksin/kernel57cc2ba030", "kernel_id": "7393066"}, {"ref": "sergejvaraksin/baseline-with-submission", "kernel_id": "7323546"}, {"ref": "valeriabvv/kernel78b51e96a5", "kernel_id": "9064470"}]}
{"competition_id": "17805", "kernels": []}
{"competition_id": "17806", "kernels": []}
{"competition_id": "17807", "kernels": [{"ref": "antorsae/ecuador-guayaquil", "kernel_id": "7696834"}, {"ref": "danofer/feature-selection-with-null-importances-wids", "kernel_id": "7754515"}, {"ref": "danofer/deep-learning-wids-fastai", "kernel_id": "7716566"}, {"ref": "danofer/wids-2020-starter-catboost-0-9045-lb", "kernel_id": "7523665"}, {"ref": "danofer/wids-2020-competitive-1st-place-component", "kernel_id": "7525817"}, {"ref": "jayjay75/wids2020-lgb-starter-adversarial-validation", "kernel_id": "7530788"}, {"ref": "usharengaraju/pyladiesamsterdam-introductiontotf-hub-wip", "kernel_id": "7633798"}, {"ref": "pedrohsrrano/ids-baseline-wids-ln", "kernel_id": "7841844"}, {"ref": "charislove/wids2020cambridgedreamteam", "kernel_id": "7986427"}, {"ref": "dskswu/wids-data-screening-using-datamaid", "kernel_id": "7600528"}, {"ref": "sindu88/wids-2020-final", "kernel_id": "7655712"}, {"ref": "lijsbeth/wids-2020-starter-catboost-0-902-lb", "kernel_id": "7885558"}, {"ref": "kuldeep7688/xgboost-parameter-tuning-baseline", "kernel_id": "7845809"}, {"ref": "tejashshah/wids-eda-lgbm", "kernel_id": "7991934"}, {"ref": "ggxgboostgg/wids2020-lgbm-starter", "kernel_id": "7689728"}, {"ref": "tanee94uit2010/wids-challenge", "kernel_id": "7729500"}, {"ref": "sonmou/decision-tree-wids-datathon-2020", "kernel_id": "7985216"}, {"ref": "ranjanir/wids-2020-xgboost", "kernel_id": "7653589"}, {"ref": "khulapkosv/lgbm-baseline-wids-2020", "kernel_id": "7716467"}, {"ref": "abofficial444/simple-univariate-insight-1-wids-2020", "kernel_id": "7728379"}, {"ref": "binaicrai/wd-v2-0", "kernel_id": "7635968"}, {"ref": "binaicrai/fork-of-fork-of-wids-lgbm-gs", "kernel_id": "7739140"}, {"ref": "vaibhavsxn/wids-data-v2", "kernel_id": "7951079"}, {"ref": "mpwolke/women-in-data-science", "kernel_id": "7699527"}, {"ref": "srinidhi123/wids2020-ensemblelearning-votingclassifier", "kernel_id": "7938879"}, {"ref": "smanickam/kernel7f61707124", "kernel_id": "7882740"}, {"ref": "kajalgupta2605/kernel-1", "kernel_id": "7951813"}, {"ref": "olofjens/wids2020-fillingheight-weightwithlinearregression", "kernel_id": "7888703"}, {"ref": "chandanhegde/wids2020-ensemblelearning-votingclassifier", "kernel_id": "7938448"}, {"ref": "sushmithacggopal/wids2020-ensemblelearning-votingclassifier", "kernel_id": "7938571"}, {"ref": "jayjay75/3rd-place-nn-wids2020", "kernel_id": "8130098"}, {"ref": "kashikatyagi/wids-datathon", "kernel_id": "8015739"}, {"ref": "jessicacc/wids2020-lgb-model", "kernel_id": "8091851"}, {"ref": "krrai77/wids2020-fancyimpute-lgb", "kernel_id": "8058871"}, {"ref": "kainsama/single-lgbm-v0-1-0", "kernel_id": "8127939"}, {"ref": "sonmou/xgboost-wids-datathon-2020", "kernel_id": "8043154"}, {"ref": "yubiabia98/visualization-exploratory-data-analysis-light", "kernel_id": "8142404"}, {"ref": "greta8782/cleaning-data", "kernel_id": "8068439"}, {"ref": "arwa1551/datathon-psuteam", "kernel_id": "8087283"}, {"ref": "anjanapremkumar/technocrats-final", "kernel_id": "8033259"}, {"ref": "teamanalitycs34/lgbm-baseline", "kernel_id": "8112128"}, {"ref": "saurabh7/predict-patient-survival", "kernel_id": "9502562"}, {"ref": "vishwesh5/patient-survival", "kernel_id": "11839835"}, {"ref": "adarshpatankar/bdm-project-missing-value-lr-on-top20-featues", "kernel_id": "12321062"}, {"ref": "ukveteran/nlp-profiler-wids-2020-jma", "kernel_id": "12479954"}, {"ref": "karthikakamath/datathon-2020-approach", "kernel_id": "14695800"}, {"ref": "andreea11/notebookdraft", "kernel_id": "14450306"}, {"ref": "nirdz1/predicting-mortality-in-icu-home-assignment", "kernel_id": "14353839"}, {"ref": "jameslko/paper-8", "kernel_id": "16572861"}, {"ref": "krishnakartik1/wids2020-lgb-starter-adversarial-validati-f763f7", "kernel_id": "26158015"}, {"ref": "harelmoshayof/data-science-hw1", "kernel_id": "36882560"}, {"ref": "mayasosnovik/data-science-hw1", "kernel_id": "37536040"}, {"ref": "lironmor/hw1-data-science", "kernel_id": "38658381"}, {"ref": "harelmoshayof/data-science-hw3", "kernel_id": "39373820"}, {"ref": "latifkara/notebook080fbc8df8", "kernel_id": "41436451"}, {"ref": "arcielbaez/practice-for-btk-competition", "kernel_id": "41390428"}, {"ref": "tal0205c90/tal29-08-2024", "kernel_id": "63551004"}, {"ref": "kunalmishra5725/wids2020-final", "kernel_id": "112625284"}, {"ref": "themuniz/wids-2020-icu-mortality-interpretable-exploration", "kernel_id": "117892541"}, {"ref": "bobbybrandy/wids-datahon-2020", "kernel_id": "126658280"}]}
{"competition_id": "17809", "kernels": []}
{"competition_id": "17812", "kernels": []}
{"competition_id": "17815", "kernels": []}
{"competition_id": "17823", "kernels": []}
{"competition_id": "17824", "kernels": []}
{"competition_id": "17828", "kernels": []}
{"competition_id": "17829", "kernels": [{"ref": "theserialkiller/computer-vision-nb", "kernel_id": "47849110"}]}
{"competition_id": "17836", "kernels": []}
{"competition_id": "17847", "kernels": [{"ref": "fernandocamargo/baseline", "kernel_id": "6924289"}]}
{"competition_id": "17848", "kernels": []}
{"competition_id": "17849", "kernels": [{"ref": "aleksstark/kernel-am-ver1", "kernel_id": "7024375"}]}
{"competition_id": "17850", "kernels": [{"ref": "abakumoviv/kernel473a0695d1", "kernel_id": "6926526"}]}
{"competition_id": "17859", "kernels": []}
{"competition_id": "17862", "kernels": [{"ref": "cashfeg/uec-lecture-1209-1-lightgbm", "kernel_id": "6954934"}, {"ref": "cashfeg/report1214", "kernel_id": "7036967"}, {"ref": "cashfeg/tabulate-1214", "kernel_id": "7038891"}, {"ref": "cashfeg/fork-of-uec-lecture-1209-1-lightgbm-566194", "kernel_id": "7039076"}, {"ref": "cashfeg/uec-lecture-1209-1-lightgbm-split-by-time", "kernel_id": "7403956"}, {"ref": "nakajima897/report1214", "kernel_id": "7038720"}, {"ref": "solobochi/report1214", "kernel_id": "7038968"}]}
{"competition_id": "17863", "kernels": []}
{"competition_id": "17867", "kernels": []}
{"competition_id": "17875", "kernels": []}
{"competition_id": "17876", "kernels": []}
{"competition_id": "17885", "kernels": []}
{"competition_id": "17888", "kernels": []}
{"competition_id": "17907", "kernels": [{"ref": "paultimothymooney/how-to-get-started-with-the-earth-engine-data", "kernel_id": "6994083"}, {"ref": "ajulian/gppd-120-pr-csv-and-the-capacity-factor", "kernel_id": "7973511"}, {"ref": "parulpandey/understanding-the-data", "kernel_id": "7935710"}, {"ref": "jyesawtellrickson/understanding-sentinel-5p-offl-no2", "kernel_id": "7981956"}, {"ref": "jyesawtellrickson/data-measurement-frequency", "kernel_id": "7942504"}, {"ref": "pcjimmmy/how-to-get-the-secret-and-tokens-and-access", "kernel_id": "7935523"}, {"ref": "ragnar123/exploratory-data-analysis-and-factor-model-idea", "kernel_id": "7946810"}, {"ref": "paultimothymooney/overview-of-the-eie-analytics-challenge", "kernel_id": "7848102"}, {"ref": "docxian/explore-power-plants-r", "kernel_id": "7932593"}, {"ref": "ehcchan/finding-emission-factor-for-power-plants", "kernel_id": "7978806"}, {"ref": "econdata/getting-started", "kernel_id": "7937731"}, {"ref": "bcantt/emissions-factor-calc", "kernel_id": "7943795"}, {"ref": "kukuchiku/kernel6b1c28f868", "kernel_id": "7999505"}, {"ref": "gpoulain/eda-ef-with-n2o-time-series-earth-engine", "kernel_id": "7944504"}, {"ref": "mrasadullah0/ds4g-environmental-insights-explorer-eda-eie", "kernel_id": "7985757"}, {"ref": "vaibhavsxn/begin-here", "kernel_id": "7955784"}, {"ref": "tiurii/ds4g-modelling-of-emissions-of-power-plants", "kernel_id": "7941434"}, {"ref": "mpwolke/dr-david-g-fearn-ds4g", "kernel_id": "7944313"}, {"ref": "ryuichiyanagisawa/environmental-insights-explorer-simple-model", "kernel_id": "7989485"}, {"ref": "caesarlupum/ds4g-go-to-the-green-future", "kernel_id": "7934026"}, {"ref": "deepakdeepu8978/methodology-for-average-historical-emissions", "kernel_id": "7938962"}, {"ref": "meenakshiramaswamy/ds4g-emission-factor-eda", "kernel_id": "7953672"}, {"ref": "nayuts/exploration-of-tiff-bands", "kernel_id": "7978620"}, {"ref": "chabbu09/kernel2d6dc4b3d1", "kernel_id": "7936616"}, {"ref": "ianakoto/emmision-factor", "kernel_id": "7963248"}, {"ref": "ajulian/remote-sensing-and-emissions-factors", "kernel_id": "8461171"}, {"ref": "ajulian/activities-and-ghg-precursor-gases", "kernel_id": "8456504"}, {"ref": "ajulian/ds4g-eie", "kernel_id": "8568654"}, {"ref": "ajulian/eia-923-input-nox-emissions-and-ef-reference", "kernel_id": "8327700"}, {"ref": "ajulian/questions-for-ds4g-eie-ama", "kernel_id": "8379245"}, {"ref": "jyesawtellrickson/averaging-satellite-data", "kernel_id": "8087735"}, {"ref": "jyesawtellrickson/visualising-wind-effects", "kernel_id": "8096674"}, {"ref": "jagannathrk/ds4g-insights", "kernel_id": "8505599"}, {"ref": "inhoii/strong-seasonal-effect-in-no2-emission", "kernel_id": "8486352"}, {"ref": "inhoii/emission-factor-for-each-powerplant-in-puerto-rico", "kernel_id": "8502570"}, {"ref": "inhoii/estimate-no2-emission-1-explore", "kernel_id": "8415279"}, {"ref": "parselt/cloud-fraction", "kernel_id": "8550968"}, {"ref": "parselt/ds4g-emissions-factors-for-nox", "kernel_id": "8368907"}, {"ref": "siklinator/csv-to-shapefile-raster-101-in-r", "kernel_id": "8016019"}, {"ref": "ssddss/linear-regression-model-for-emissions", "kernel_id": "8311639"}, {"ref": "niyamatalmass/4-final-thoughts-recommendation", "kernel_id": "8545727"}, {"ref": "niyamatalmass/1-introduction-to-the-solution-of-dsg-eie", "kernel_id": "8465975"}, {"ref": "niyamatalmass/2-sub-region-and-state-wise-e-f-and-evaluation", "kernel_id": "8463216"}, {"ref": "niyamatalmass/3-individual-power-plant-e-f-and-evaluation", "kernel_id": "8418608"}, {"ref": "rasyidstat/ds4g-fixing-the-reversed-y-axis-latitude", "kernel_id": "8459709"}, {"ref": "rasyidstat/ds4g-emissions-factor-in-us-2018", "kernel_id": "8503255"}, {"ref": "paultimothymooney/explore-image-metadata-s5p-gfs-gldas", "kernel_id": "8047846"}, {"ref": "paultimothymooney/plot-no2-emissions-data-from-earth-engine", "kernel_id": "8283708"}, {"ref": "wjshenggggg/team-sunway-ds4g-report", "kernel_id": "8502413"}, {"ref": "wjshenggggg/team-sunway-ds4g-appendix", "kernel_id": "8004003"}, {"ref": "essadkim/emission-factor-modeling", "kernel_id": "8567469"}, {"ref": "essadkim/are-tiff-images-flipped-in-y-axis", "kernel_id": "8639279"}, {"ref": "vgates/ds4g-emissions-factor-wind-rotation-code", "kernel_id": "8569047"}, {"ref": "vpatricio/ds4g-where-does-the-no2-come-from", "kernel_id": "8184739"}, {"ref": "vlarmet/an-r-notebook-for-no2-emission-factor", "kernel_id": "8370351"}, {"ref": "gabrieltamayo/analysing-global-power-plant-database-wip", "kernel_id": "8384466"}, {"ref": "maxlenormand/saving-the-power-plants-csv-to-geojson", "kernel_id": "8086075"}, {"ref": "maxlenormand/simplified-emission-for-each-plant-update-1", "kernel_id": "8087550"}, {"ref": "andyden/ds4g-eda-wip", "kernel_id": "8057595"}, {"ref": "rlambert/are-tiff-images-flipped-in-y-axis-gfs-data", "kernel_id": "8651242"}, {"ref": "tiurii/predicting-emissions-of-power-plants", "kernel_id": "8491744"}, {"ref": "chaudharijay2000/ds4g-exploring-ef-of-puerto-rico", "kernel_id": "8492811"}, {"ref": "anushakarthik1991/getting-started-with-eie-historical-emissions", "kernel_id": "8426122"}, {"ref": "caesarlupum/green-future-anomaly-analysis-time-series", "kernel_id": "8206687"}, {"ref": "caesarlupum/green-future-analysis-and-solution", "kernel_id": "8549315"}, {"ref": "meenakshiramaswamy/ds4g-gee-reading", "kernel_id": "8021063"}, {"ref": "meenakshiramaswamy/ds4g-eie-no2emission-earthenginereading", "kernel_id": "8536841"}, {"ref": "meenakshiramaswamy/ds4g-eie-no2emission-eda", "kernel_id": "8506400"}, {"ref": "meenakshiramaswamy/ds4g-eie-no2emission-calcef-buildmodel", "kernel_id": "8509367"}, {"ref": "nayuts/ds4g-proposal-of-ef-using-no2-density", "kernel_id": "8562633"}, {"ref": "nayuts/focus-on-specific-power-plants", "kernel_id": "8084318"}, {"ref": "nayuts/calculate-ef-in-smaller-time-slices", "kernel_id": "8205387"}, {"ref": "nayuts/can-we-attribute-emissions-to-power-plants", "kernel_id": "8307153"}, {"ref": "hotton/ds4g-dailytrend-powerplant-example", "kernel_id": "8391722"}, {"ref": "katemelianova/ds4g-spatial-panel-data-modeling", "kernel_id": "8408150"}, {"ref": "rushikeshbulbule/kernel1aaf5f2b1f", "kernel_id": "8200826"}, {"ref": "nagabilwanth/emissionexplorer", "kernel_id": "8275951"}, {"ref": "nagabilwanth/emissionmodel", "kernel_id": "8275828"}, {"ref": "nagabilwanth/emissionweather", "kernel_id": "8275880"}, {"ref": "nagabilwanth/emissionanalyzer", "kernel_id": "8275710"}, {"ref": "nagabilwanth/emissionspatial", "kernel_id": "8275737"}, {"ref": "nagabilwanth/emissiondataset", "kernel_id": "8275751"}, {"ref": "nagabilwanth/emissionmarginal", "kernel_id": "8375638"}, {"ref": "nagabilwanth/ds4g-implementation-of-emission-explorer", "kernel_id": "8211772"}, {"ref": "nagabilwanth/step-1-create-a-configuration-file", "kernel_id": "8212730"}, {"ref": "nagabilwanth/emissionplot", "kernel_id": "8199593"}, {"ref": "nagabilwanth/emissionconfig", "kernel_id": "8199557"}, {"ref": "nagabilwanth/emissionglobals", "kernel_id": "8199615"}, {"ref": "nagabilwanth/emissionprediction", "kernel_id": "8532685"}, {"ref": "nagabilwanth/7-calc-ef-for-another-geographical-area", "kernel_id": "8520514"}, {"ref": "nagabilwanth/6-methodology-calc-marginal-emissions-factor", "kernel_id": "8505132"}, {"ref": "nagabilwanth/5-analysis-report-for-month-month-avg-historical", "kernel_id": "8489151"}, {"ref": "nagabilwanth/4-analysis-for-higher-lower-emissions-continued", "kernel_id": "8489033"}, {"ref": "nagabilwanth/4-analysis-for-higher-lower-emissions-factor", "kernel_id": "8472677"}, {"ref": "nagabilwanth/3-annual-hist-emission-continued", "kernel_id": "8472429"}, {"ref": "nagabilwanth/3-annual-hist-emissions-for-sub-national-regions", "kernel_id": "8461918"}, {"ref": "nagabilwanth/2-data-integration-and-pre-processing", "kernel_id": "8444988"}, {"ref": "fernandocampo/how-to-get-started-with-the-earth-engine-data", "kernel_id": "8477543"}, {"ref": "nikolakuzmic/eda-fossil-vs-renewable-plants", "kernel_id": "8400812"}, {"ref": "allisonsmith/ds4g-calculate-emissions-factors", "kernel_id": "8566281"}, {"ref": "skoebric/introducing-tycho-supervised-emission-modeling", "kernel_id": "8555862"}, {"ref": "sergiogarciadea/theengiefactor-emissionfactorestimations", "kernel_id": "8564550"}, {"ref": "abderrahimbenseguane/spatio-temporal-analysis-on-raster", "kernel_id": "8549708"}, {"ref": "pablorichard/no2-panache-fitting", "kernel_id": "8568226"}, {"ref": "chrisarderne/ds4g-an-analytical-approach-to-no2-emissions", "kernel_id": "8449923"}, {"ref": "thapagron/tc-exploratory-data-analysis-and-factor-model-idea", "kernel_id": "9172795"}, {"ref": "thapagron/tc-worlda", "kernel_id": "9022685"}, {"ref": "peerapholkamolnawin/p-ml-based-on-exploratory", "kernel_id": "9202620"}, {"ref": "raviyadav2398/ds4g-emission-factor", "kernel_id": "11219318"}, {"ref": "christophertessum/module-7-class-2-ds4g-result", "kernel_id": "12156015"}, {"ref": "christophertessum/module-7-class-2-ds4g", "kernel_id": "12157959"}, {"ref": "yukyoungchoi/copywork-ds4g-emission-factor", "kernel_id": "78860606"}]}
{"competition_id": "17914", "kernels": [{"ref": "kondratevakate/baseline-submission", "kernel_id": "7079921"}, {"ref": "sergeynesteruk/ensemble-sample-submission", "kernel_id": "7464463"}]}
{"competition_id": "17915", "kernels": []}
{"competition_id": "17923", "kernels": []}
{"competition_id": "17927", "kernels": []}
{"competition_id": "17928", "kernels": []}
{"competition_id": "17934", "kernels": []}
{"competition_id": "17941", "kernels": [{"ref": "vyassuyog/kernel2560a39579", "kernel_id": "9863749"}]}
{"competition_id": "17943", "kernels": []}
{"competition_id": "17947", "kernels": [{"ref": "krammerg/food101-baseline", "kernel_id": "7411466"}, {"ref": "ukaszniedwiadek/food101-exodia", "kernel_id": "57110661"}]}
{"competition_id": "17950", "kernels": [{"ref": "rajeevsingh717/housepricingpediction", "kernel_id": "7116157"}, {"ref": "dipakmr88/house-price-prediction", "kernel_id": "7051844"}, {"ref": "jainshukal/shukal-hack4-1", "kernel_id": "7064513"}, {"ref": "sanket2407/houseprice-prediction", "kernel_id": "7065221"}, {"ref": "kedarjoshi5231/predict-the-housing-price-kedar-joshi", "kernel_id": "7053474"}, {"ref": "kedarjoshi5231/predict-housing-price", "kernel_id": "7051299"}, {"ref": "akshaykumarv/board-infinity-ai", "kernel_id": "7056154"}, {"ref": "chintanchitroda/housing-price-prediction-chintanchitroda", "kernel_id": "7061072"}, {"ref": "anandsubbu007/house-price-prediction", "kernel_id": "7201535"}, {"ref": "chinmayckr/house-price-prediction-chinmay", "kernel_id": "10597505"}, {"ref": "ashwinajith/housing-price-prediction", "kernel_id": "12442616"}, {"ref": "dayababu/housing-price-prediction-chintanchitroda", "kernel_id": "12448958"}, {"ref": "oguzturkaslan/oguz-turkaslan", "kernel_id": "24222030"}]}
{"competition_id": "17952", "kernels": []}
{"competition_id": "17972", "kernels": []}
{"competition_id": "17984", "kernels": []}
{"competition_id": "17985", "kernels": []}
{"competition_id": "17986", "kernels": []}
{"competition_id": "17990", "kernels": []}
{"competition_id": "17991", "kernels": []}
{"competition_id": "17997", "kernels": []}
{"competition_id": "18005", "kernels": [{"ref": "samihan/fifa2019", "kernel_id": "7900172"}, {"ref": "yazeedalsahouri03/fifa-2019-players-wages-prediction", "kernel_id": "40827463"}]}
{"competition_id": "18011", "kernels": [{"ref": "shahsoumil/understanding-halite-observations", "kernel_id": "8862277"}, {"ref": "yegorbiryukov/halite-swarm-intelligence", "kernel_id": "8848663"}, {"ref": "ajeffries/obsolete-halite-v0-starter-notebook", "kernel_id": "8844590"}, {"ref": "tmbond/halite-example-agents", "kernel_id": "8932297"}, {"ref": "awanderingsoul/halite-basic-greedy-agent", "kernel_id": "8880409"}, {"ref": "tathagatbanerjee/halite-getting-started", "kernel_id": "8884683"}, {"ref": "superant/halite-boilerbot", "kernel_id": "9381389"}, {"ref": "philculliton/test-agents", "kernel_id": "9034041"}, {"ref": "hubcity/halitehack-ui-improvements", "kernel_id": "9291083"}, {"ref": "hubcity/simple-bad-agents-halite", "kernel_id": "9065230"}, {"ref": "hubcity/pirate-agent-halite-v0-3-2", "kernel_id": "9609540"}, {"ref": "hubcity/enemy-shipyards-0-3-1", "kernel_id": "9462747"}, {"ref": "hubcity/bugs-halite-0-3-2", "kernel_id": "9481108"}, {"ref": "jbj2505/analysing-halite-matches-1", "kernel_id": "9081875"}, {"ref": "jakelj/halite-4-0-1-beginner-notebook", "kernel_id": "9111635"}, {"ref": "alexisbcook/getting-started-with-halite", "kernel_id": "9871527"}, {"ref": "tiger37/reinforcement-learning-meets-halite", "kernel_id": "9596934"}, {"ref": "felixneate/halite-training-data", "kernel_id": "9958023"}, {"ref": "stefanbschneider/halite-multi-ship-yard-agent-with-ca", "kernel_id": "9241997"}, {"ref": "superant/lion-arena-v1", "kernel_id": "10851331"}, {"ref": "kwabenantim/swarm-intelligence-with-sdk", "kernel_id": "10441527"}, {"ref": "hsperr/halite-iv-dqn-example-pytorch", "kernel_id": "10989899"}, {"ref": "krishnaharish/halite-swarm-agent", "kernel_id": "10551538"}, {"ref": "krishnaharish/optimus-mine-agent", "kernel_id": "10553275"}, {"ref": "krishnaharish/halite-c40", "kernel_id": "10591610"}, {"ref": "mylesoneill/halite-template-bot", "kernel_id": "10145379"}, {"ref": "jpmiller/game-analyzer-halite-4-pe", "kernel_id": "10368466"}, {"ref": "solverworld/replay-your-agent-on-a-specific-step", "kernel_id": "10434436"}, {"ref": "solverworld/optimal-mining-with-carried-halite", "kernel_id": "10442551"}, {"ref": "solverworld/optimal-mining", "kernel_id": "10425364"}, {"ref": "solverworld/optimus-mine-agent", "kernel_id": "10476051"}, {"ref": "solverworld/shortest-direction-to-move-via-wraparound", "kernel_id": "10368090"}, {"ref": "solverworld/changing-options-from-testing-to-competition", "kernel_id": "10803871"}, {"ref": "artgol89/reward-function-design-part-2", "kernel_id": "10311764"}, {"ref": "artgol89/environment-state-representation-part-1", "kernel_id": "10222012"}, {"ref": "lilsummer877/explore-exploit", "kernel_id": "10619319"}, {"ref": "eletrovolt/bot-tutorial-v0-1", "kernel_id": "10256695"}, {"ref": "shaitender/getting-started-halite", "kernel_id": "10373072"}, {"ref": "anoopnjl/ship-shipyards-view-of-board", "kernel_id": "10773932"}, {"ref": "svurucu/double-q-network", "kernel_id": "10933984"}, {"ref": "jake126/halite-exploration", "kernel_id": "10707789"}, {"ref": "diamondsnake/rules-based-algorithm", "kernel_id": "10950305"}, {"ref": "diamondsnake/rules-based-algorithm-attack", "kernel_id": "10966881"}, {"ref": "basu369victor/designing-game-ai-with-reinforcement-learning", "kernel_id": "10186811"}, {"ref": "benzyx/make-sure-you-can-beat-this-baseline-idle-bot", "kernel_id": "10283481"}, {"ref": "rafathsn/kernel7f7c3b7473", "kernel_id": "10280653"}, {"ref": "akashsuper2000/pytorch-starter", "kernel_id": "10994939"}, {"ref": "mehdi16/halite-game-starter-notebook", "kernel_id": "10164995"}, {"ref": "yegorbiryukov/pirate-haven", "kernel_id": "10462091"}, {"ref": "yegorbiryukov/vortex", "kernel_id": "10632028"}, {"ref": "artkulak/halite-template-bot", "kernel_id": "10202958"}, {"ref": "nlebang/halite-for-beginners", "kernel_id": "10229368"}, {"ref": "iicyan/japanese-halite-introduction", "kernel_id": "10173834"}, {"ref": "iicyan/japanese-halite-sdk-overview", "kernel_id": "10182661"}, {"ref": "iicyan/japanese-halite-submit", "kernel_id": "10190691"}, {"ref": "iicyan/halite-battle-result-visualization", "kernel_id": "10401608"}, {"ref": "iicyan/halite-result-visualization-from-leaderboard", "kernel_id": "10456030"}, {"ref": "agirlcoding/starteragent", "kernel_id": "10147516"}, {"ref": "melissarajaram/swarm-dissected-halite-beginners", "kernel_id": "10299914"}, {"ref": "joshsny/halite-swarm-intelligence", "kernel_id": "10208537"}, {"ref": "saraswatitiwari/kernel36ebf1354a", "kernel_id": "10454148"}, {"ref": "alicia183/halite-bot-aggressive-bot-starter-code", "kernel_id": "10338339"}, {"ref": "augustocorrea48/halitetutorial", "kernel_id": "10209767"}, {"ref": "damoonshahhosseini/useful-modules-and-functions", "kernel_id": "10285858"}, {"ref": "makarbaderko/getting-started-with-halite", "kernel_id": "10174364"}, {"ref": "karlkraus/halite-4-hardware-performance-analysis", "kernel_id": "10727841"}, {"ref": "christophernaimo/better-random-bot", "kernel_id": "10562524"}, {"ref": "christophernaimo/modular-reinforcement-learning", "kernel_id": "10750296"}, {"ref": "ykwhrt/halite-template-bot", "kernel_id": "10568625"}, {"ref": "josehenriqueroveda/halitestarter", "kernel_id": "10207655"}, {"ref": "arunprathap/getting-started-with-halite-bot-in-a-class-boile", "kernel_id": "10752068"}, {"ref": "soichiroiino/kernel2acdacc020", "kernel_id": "10175763"}, {"ref": "riverlewis/moar-aggro-ships", "kernel_id": "10253447"}, {"ref": "tonyzampogna/halite-first-submission", "kernel_id": "10778735"}, {"ref": "fellipeaugustosantos/kernel33f4e3756f", "kernel_id": "10861884"}, {"ref": "kwabenantim/stable-baselines-starter", "kernel_id": "11123404"}, {"ref": "kamaljain77/980-lb-mine-agent-more-ships", "kernel_id": "11745445"}, {"ref": "kamaljain77/optimus-mine-agent-more-ships", "kernel_id": "11729825"}, {"ref": "shams1/swarm-intelligence-with-sdk", "kernel_id": "11402902"}, {"ref": "shams1/optimus-mine-agent-more-ships", "kernel_id": "11334911"}, {"ref": "shams1/stable-baselines-starter", "kernel_id": "11350850"}, {"ref": "shams1/halite-template-bot", "kernel_id": "11344409"}, {"ref": "shams1/swarm-intelligence", "kernel_id": "11305628"}, {"ref": "huiunited/game-commentary", "kernel_id": "11249038"}, {"ref": "junkoda/c-c-example-for-simulation-competitions", "kernel_id": "11025531"}, {"ref": "jpmary/halite-v2", "kernel_id": "11071810"}, {"ref": "robga/pytorch-tabnet-spawn-predictor-imitator", "kernel_id": "11355641"}, {"ref": "santoshd3/swarm-dissect", "kernel_id": "11328989"}, {"ref": "shirakia/optimus-mine-agent-best-ship-for-sy-1000-score", "kernel_id": "11273517"}, {"ref": "shirakia/see-your-score-history-for-each-submission", "kernel_id": "11386330"}, {"ref": "ghaiyur/test-vcv1", "kernel_id": "11279764"}, {"ref": "luji01/run-games-in-parallel", "kernel_id": "11274845"}, {"ref": "yegorbiryukov/swarm-intelligence-with-evolutionary-algorithm", "kernel_id": "11018325"}, {"ref": "c7934597/optimus-mine-agent", "kernel_id": "11220414"}, {"ref": "blaxkdolphin/control-use-rules", "kernel_id": "11256015"}, {"ref": "melissarajaram/halite-game-profiler", "kernel_id": "11023360"}, {"ref": "viewlagoon/halite-iv-count-win-or-lose-for-each-team", "kernel_id": "11881266"}, {"ref": "morizin/optimus-mine-agent", "kernel_id": "11085940"}, {"ref": "tfukuda675/maze-rl-qlearning-explanation", "kernel_id": "11329715"}, {"ref": "markhaoxiang/syncbot-spawning-emulator", "kernel_id": "11860086"}, {"ref": "arunprathap/halite-iv-swarm-of-bots-silver-submission", "kernel_id": "11508475"}, {"ref": "maciejgronczynski/halite-game", "kernel_id": "11396897"}, {"ref": "pkompally/designing-game-ai-with-reinforcement-learning", "kernel_id": "13438718"}, {"ref": "lmiele/desenvolvendo-jogos-em-ai", "kernel_id": "13340954"}, {"ref": "jxm222/halite-starter-code-800-points", "kernel_id": "18938224"}, {"ref": "almamun4r/ai-game-with-reinforcement-learning", "kernel_id": "20479067"}, {"ref": "almahmudalmamun/ai-game-with-reinforcement-learning", "kernel_id": "22991011"}, {"ref": "felixprasanna/halitetalidikis", "kernel_id": "26179923"}, {"ref": "yeswanthchode/yeswanth-bic", "kernel_id": "30884198"}, {"ref": "lavagod/halite-tutorial-rus", "kernel_id": "33740606"}, {"ref": "xiefei/getting-started-with-halite", "kernel_id": "38901816"}, {"ref": "lkchenghaol/designing-game-ai-with-reinforcement-learning", "kernel_id": "40451637"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "gopaltheboss/getting-started-with-halite", "kernel_id": "44189697"}, {"ref": "akibhussain/designing-game-ai-with-reinforcement-learning", "kernel_id": "45575253"}, {"ref": "vinitkp/halite-iv-count-win-lose-for-each-team", "kernel_id": "48529715"}, {"ref": "morganwww/4-25-cs404-designing-gaming-ai", "kernel_id": "55489054"}, {"ref": "macjairuslugtu/halite-attempt", "kernel_id": "55488186"}, {"ref": "ariananjcu/designing-game-ai-with-reinforcement-learning", "kernel_id": "55487821"}, {"ref": "sivaprasanths/designing-game-ai-with-reinforcement-learning", "kernel_id": "55487847"}, {"ref": "taotaoyuzhou119/day10ii-halite", "kernel_id": "62420997"}, {"ref": "shukaizhe/day10ii-halite", "kernel_id": "62420966"}, {"ref": "tunnayu/21265120102-day10ii-halite", "kernel_id": "62422615"}, {"ref": "nuomichuan/day10ii-halite", "kernel_id": "62425200"}, {"ref": "dorissamilyhuang/designing-game-ai-with-reinforcement-learning", "kernel_id": "88684021"}]}
{"competition_id": "18013", "kernels": [{"ref": "cashfeg/keras-sample", "kernel_id": "7140987"}, {"ref": "cashfeg/1000-times-logistic-regression", "kernel_id": "7141338"}, {"ref": "cashfeg/hands-on-tutorial-1", "kernel_id": "7137258"}, {"ref": "cashfeg/logistic-regression", "kernel_id": "7137528"}, {"ref": "hrappuccino/collaborative-filtering-practice", "kernel_id": "7141364"}, {"ref": "obasna/game-title-series", "kernel_id": "7168953"}]}
{"competition_id": "18019", "kernels": []}
{"competition_id": "18025", "kernels": []}
{"competition_id": "18032", "kernels": []}
{"competition_id": "18045", "kernels": [{"ref": "konradb/adversarial-sanity-check", "kernel_id": "8341891"}, {"ref": "konradb/liverpool-averaging-median", "kernel_id": "8131107"}, {"ref": "konradb/cloned-baseline", "kernel_id": "8131479"}, {"ref": "konradb/performance-stability", "kernel_id": "8132355"}, {"ref": "kunaal0/simple-starter-code-with-logistic-regression", "kernel_id": "8134886"}, {"ref": "sudalairajkumar/simple-exploration-notebook-ion-switching", "kernel_id": "8126420"}, {"ref": "danofer/u-net-1d-cnn-with-keras-fork", "kernel_id": "8152860"}, {"ref": "danofer/basic-ion-channel-data-groups", "kernel_id": "8163034"}, {"ref": "brandenkmurray/seq2seq-rnn-with-gru", "kernel_id": "8548493"}, {"ref": "donghunkim/eda-study", "kernel_id": "8265291"}, {"ref": "scirpus/alright-la", "kernel_id": "8464122"}, {"ref": "scirpus/scousers-genetic-programming", "kernel_id": "8304373"}, {"ref": "scirpus/for-konrad-gp", "kernel_id": "8308121"}, {"ref": "scirpus/gp-lgb-hybrid", "kernel_id": "8323743"}, {"ref": "scirpus/complex-gp", "kernel_id": "8350103"}, {"ref": "scirpus/old-school", "kernel_id": "8203926"}, {"ref": "scirpus/fork-of-alright-la", "kernel_id": "8961465"}, {"ref": "kentalabur/university-of-liverpool-ion-switching-graphs", "kernel_id": "8200605"}, {"ref": "siero5335/ion-switching-sample-eda-in-r", "kernel_id": "8127186"}, {"ref": "kenmatsu4/an-embarrassingly-simple-baseline-for-train-data", "kernel_id": "8142631"}, {"ref": "kenmatsu4/simple-data-plotting", "kernel_id": "8126123"}, {"ref": "adnaiksachin25/summary-features-knn-model", "kernel_id": "8441853"}, {"ref": "sean49/ion-linear-regression", "kernel_id": "8266550"}, {"ref": "super13579/different-batch-model-and-ensemble", "kernel_id": "8261945"}, {"ref": "super13579/u-net-1d-cnn-with-pytorch", "kernel_id": "8178358"}, {"ref": "cswwp347724/wavenet-pytorch", "kernel_id": "8870742"}, {"ref": "michaln/kalman-filter-on-clean-data", "kernel_id": "8645415"}, {"ref": "tunguz/adversarial-ions", "kernel_id": "8139223"}, {"ref": "tunguz/simple-ion-ridge-regression-starter", "kernel_id": "8125494"}, {"ref": "tunguz/fe-pipeline-with-histgradientboostingregressor", "kernel_id": "8240081"}, {"ref": "group16/lb-0-934-with-1-feature-improved-viterbi", "kernel_id": "8857697"}, {"ref": "group16/lb-0-936-1-feature-forward-backward-vs-viterbi", "kernel_id": "8868713"}, {"ref": "aerdem4/ion-lofo-importance-on-gpu-via-rapids-xgboost", "kernel_id": "8189345"}, {"ref": "jpbeconne/beginner-s-notebook", "kernel_id": "8781549"}, {"ref": "ladidinesh/ion-exchange-competition-eda", "kernel_id": "8835909"}, {"ref": "sggpls/wavenet-with-shifted-rfc-proba", "kernel_id": "8744763"}, {"ref": "sggpls/shifted-rfc-pipeline", "kernel_id": "8874506"}, {"ref": "firstdayonthejob/ion-channel", "kernel_id": "8435416"}, {"ref": "corochann/fast-macro-f1-computation", "kernel_id": "8327413"}, {"ref": "corochann/convert-to-feather-format-for-fast-data-loading", "kernel_id": "8288527"}, {"ref": "corochann/liverpool-ion-switching-smoothing-visualization", "kernel_id": "8288660"}, {"ref": "corochann/permutation-importance-for-feature-selection-part2", "kernel_id": "8414934"}, {"ref": "corochann/permutation-importance-for-feature-selection-part1", "kernel_id": "8373560"}, {"ref": "divjain/eda-starter", "kernel_id": "8757086"}, {"ref": "code1110/visualizing-added-noise-by-spectrogram", "kernel_id": "8458846"}, {"ref": "code1110/hidden-states-vs-open-channels", "kernel_id": "8441790"}, {"ref": "code1110/ion-stratifiedgroupkfold-example", "kernel_id": "8639664"}, {"ref": "code1110/ion-weighted-voting-ensemble", "kernel_id": "8776634"}, {"ref": "code1110/ion-cross-correlation", "kernel_id": "8906940"}, {"ref": "robikscube/liverpool-ion-switching-data-exploration", "kernel_id": "8127808"}, {"ref": "robikscube/ion-switching-5kfold-lgbm-tracking", "kernel_id": "8196648"}, {"ref": "yilmazalp/ion-switching", "kernel_id": "8744615"}, {"ref": "sidharthkumar/eda-correlation-among-batches-of-train-and-test", "kernel_id": "8142858"}, {"ref": "chariot/median-baseline", "kernel_id": "8132962"}, {"ref": "jagannathrk/liverpool-ion-switching-rapids-knn", "kernel_id": "8416874"}, {"ref": "jagannathrk/outliers-and-data-drift", "kernel_id": "8888962"}, {"ref": "khalildmk/simple-two-layer-bidirectional-lstm-with-pytorch", "kernel_id": "8585128"}, {"ref": "artgor/eda-and-model-f1-optimization", "kernel_id": "8128236"}, {"ref": "gpreda/quick-starter-ion-switching-prediction", "kernel_id": "8131313"}, {"ref": "gpreda/ion-switching-advanced-eda-and-prediction", "kernel_id": "8206829"}, {"ref": "pestipeti/eda-ion-switching", "kernel_id": "8125504"}, {"ref": "johnoliverjones/hamilton-jacobi-bellman-optimization", "kernel_id": "8721625"}, {"ref": "johnoliverjones/hamiltonian-solution", "kernel_id": "8546495"}, {"ref": "johnoliverjones/frequency-domain-filtering", "kernel_id": "8270097"}, {"ref": "plarmuseau/eda-embarrassingly-simple-baseline-0-960-lb", "kernel_id": "8135258"}, {"ref": "lovedm/u-net-1d-cnn-with-keras", "kernel_id": "8173847"}, {"ref": "eunholee/remove-drift-using-a-sine-function", "kernel_id": "8487058"}, {"ref": "shahules/ion-switching-ml-explainability", "kernel_id": "8856441"}, {"ref": "richardbj/an-embarrassingly-simple-baseline-0-960-lb", "kernel_id": "8132252"}, {"ref": "richardbj/simple-ion-ridge-regression-starter", "kernel_id": "8133152"}, {"ref": "grapestone5321/ion-switching-sample-submission", "kernel_id": "8134132"}, {"ref": "pradeepmuniasamy/ion-switching-extendsive-eda-basline-model-h2o", "kernel_id": "8164800"}, {"ref": "shinogi/fe-and-ensemble-mlp-and-lgbm-add-kalmanfilter", "kernel_id": "8976693"}, {"ref": "seriousran/simple-regression-w-elasticnet", "kernel_id": "8127296"}, {"ref": "hengzheng/an-embarrassingly-simple-baseline-0-961-lb", "kernel_id": "8130490"}, {"ref": "zldata/ionswitching-wavenet", "kernel_id": "8997627"}, {"ref": "miklgr500/ghost-drift-and-outliers", "kernel_id": "8789588"}, {"ref": "miklgr500/viterbi-algorithm-without-segmentation-on-groups", "kernel_id": "8851543"}, {"ref": "ragnar123/single-model-lgbm", "kernel_id": "8564417"}, {"ref": "ragnar123/wavenet-with-1-more-feature", "kernel_id": "8741378"}, {"ref": "ragnar123/exploratory-data-analysis-and-model-baseline", "kernel_id": "8134393"}, {"ref": "ragnar123/first-model-lgbm", "kernel_id": "8141826"}, {"ref": "ragnar123/group-kfold-only-28-features", "kernel_id": "8197584"}, {"ref": "ragnar123/validation-scheme", "kernel_id": "8192210"}, {"ref": "kaylor/classifying-ion-channels-with-ensemble", "kernel_id": "8385919"}, {"ref": "sklasfeld/kernel6cc90f1665", "kernel_id": "8239566"}, {"ref": "anjeetkumar/ion-classification-switching-v-1-0", "kernel_id": "8158048"}, {"ref": "tarunpaparaju/ion-switching-competition-signal-eda", "kernel_id": "8137229"}, {"ref": "ajcostarino/decision-trees-one-vs-rest-modeling", "kernel_id": "8434321"}, {"ref": "ashora/gru-keras", "kernel_id": "8619498"}, {"ref": "hanifansari93/anova-for-ion-switching", "kernel_id": "8198896"}, {"ref": "dienhoa/filtering-drifted-signal", "kernel_id": "8368992"}, {"ref": "graf10a/problem-and-solution-rapids-knn-predict-proba", "kernel_id": "8504310"}, {"ref": "graf10a/is-knn-313-cv5-sine-filtered", "kernel_id": "8658377"}, {"ref": "graf10a/sampling-with-replacement", "kernel_id": "8968350"}, {"ref": "hawkey/pytorch-u-net-starter", "kernel_id": "8202399"}, {"ref": "pavelvpster/ion-switching-fe-lgb", "kernel_id": "8132500"}, {"ref": "cameronlai/getting-started-data-visualization-xgboost", "kernel_id": "8189803"}, {"ref": "suicaokhoailang/an-embarrassingly-simple-baseline", "kernel_id": "8130056"}, {"ref": "nikhilbalwani/feature-engineering-pyspark-and-xgboost", "kernel_id": "8177929"}, {"ref": "lars123/transition-matrix-of-each-synthetic-model", "kernel_id": "8446317"}, {"ref": "vladlee/ion-lstm-baseline-feature-selection", "kernel_id": "8225108"}, {"ref": "vladlee/ion-switching-lgb-regression-model", "kernel_id": "8358775"}, {"ref": "tombresee/submicroscopic-eda", "kernel_id": "8135984"}, {"ref": "alexfocus/ion-switching-lgb-catb-model", "kernel_id": "8189840"}, {"ref": "liu123/the-first-30-is-public-leaderboard", "kernel_id": "8131069"}, {"ref": "cdeotte/rapids-knn-30-seconds-0-938", "kernel_id": "8412774"}, {"ref": "cdeotte/one-feature-model-0-930", "kernel_id": "8254819"}, {"ref": "azat942wer/ion-switching-fe-catboost", "kernel_id": "8774422"}, {"ref": "khoongweihao/ion-switching-uuu-net-ladder-net-s-unet-idea", "kernel_id": "8179069"}, {"ref": "manyregression/fastai-v2-tabular", "kernel_id": "8722524"}, {"ref": "shinsei66/open-channel-transitions-distribution", "kernel_id": "8912166"}, {"ref": "shinsei66/baseline-model-lgb", "kernel_id": "8179942"}, {"ref": "shinsei66/useful-eda-dashboard-by-bokeh", "kernel_id": "8461332"}, {"ref": "vbmokin/ion-switching-advfe-lgb-wavenet-confmatrix", "kernel_id": "8134564"}, {"ref": "chewzy/eda-ion-switching-signal-vs-open-channels", "kernel_id": "8126838"}, {"ref": "nizamuddin/ionchannels", "kernel_id": "8698902"}, {"ref": "kaushal2896/ion-switching-starter-eda-randomforestregressor", "kernel_id": "8160792"}, {"ref": "marczhu/ion-switching-zhuzhu", "kernel_id": "8642936"}, {"ref": "adrianoavelar/3-simple-ideas-lb-0-938", "kernel_id": "8353790"}, {"ref": "kei96kag/ion-switching-eda-visualizations-by-ggplot", "kernel_id": "8190081"}, {"ref": "q839651612/simple-model-based-on-signals-distribution", "kernel_id": "8866631"}, {"ref": "akashsuper2000/wavenet-keras", "kernel_id": "8919485"}, {"ref": "akashsuper2000/wavenet-with-1-more-feature", "kernel_id": "8919497"}, {"ref": "akashsuper2000/seq2seq-rnn-with-gru", "kernel_id": "8876424"}, {"ref": "akashsuper2000/pytorch-u-net-model", "kernel_id": "8861722"}, {"ref": "paramesha/ion-channel-switching", "kernel_id": "8419723"}, {"ref": "snakayama/original-ion-compe-lightgbm", "kernel_id": "8893482"}, {"ref": "ttkagglett/ionswitching", "kernel_id": "8409103"}, {"ref": "kalyankkr/eda-and-model-f1-optimization", "kernel_id": "8354144"}, {"ref": "kalyankkr/fe-pipeline", "kernel_id": "8238540"}, {"ref": "kalyankkr/simple-eda-ridge-lgb-for-beginner", "kernel_id": "8130798"}, {"ref": "mobassir/understanding-ion-switching-with-modeling", "kernel_id": "8921146"}, {"ref": "theoviel/denoising-with-direct-wavelet-transform", "kernel_id": "8131864"}, {"ref": "theoviel/denoising-with-the-fast-fourier-transform", "kernel_id": "8131639"}, {"ref": "ukveteran/ion-switching-interactive-visuals-jma", "kernel_id": "8619928"}, {"ref": "suk1yak1/simple-histogram-plotting", "kernel_id": "8131131"}, {"ref": "mustafa32/simple-decision-tree-predication-96", "kernel_id": "8133504"}, {"ref": "onslaught/eda-of-the-noise", "kernel_id": "8133469"}, {"ref": "hidetaketakahashi/ion-switch-network-visualization-eda-in-time", "kernel_id": "8303390"}, {"ref": "szutang/conv1d-and-inception", "kernel_id": "8625399"}, {"ref": "tahirmuslimscientist/ion-switching-best-practice", "kernel_id": "8143870"}, {"ref": "nxhong93/feature-precess", "kernel_id": "8622503"}, {"ref": "frtgnn/simple-lgbm-5-fold-validation", "kernel_id": "8955280"}, {"ref": "frtgnn/using-pycaret-on-ion-switch", "kernel_id": "8997223"}, {"ref": "akihirokkkkk/adversarial-validation-train-clean", "kernel_id": "8995296"}, {"ref": "xhlulu/why-qwk-doesn-t-mean-anything", "kernel_id": "8144566"}, {"ref": "xhlulu/ion-switching-simple-bi-gru", "kernel_id": "8169945"}, {"ref": "jazivxt/physically-possible", "kernel_id": "8157009"}, {"ref": "martxelo/fe-and-ensemble-mlp-and-lgbm", "kernel_id": "8421205"}, {"ref": "martxelo/fe-and-simple-mlp", "kernel_id": "8353198"}, {"ref": "mattbuarque/ion-switching-eda-baseline-modeling", "kernel_id": "8171033"}, {"ref": "agileteam/simple-lightgbm-starter", "kernel_id": "8128113"}, {"ref": "ehanmire/kernel16a10b473b", "kernel_id": "8275285"}, {"ref": "chariots17/decisiontreeclassifier", "kernel_id": "8127443"}, {"ref": "devchriscross/liverpool-ion-switching", "kernel_id": "8923578"}, {"ref": "friedchips/on-markov-chains-and-the-competition-data", "kernel_id": "8353517"}, {"ref": "friedchips/clean-removal-of-data-drift", "kernel_id": "8383688"}, {"ref": "friedchips/the-viterbi-algorithm-a-complete-solution", "kernel_id": "8495344"}, {"ref": "siavrez/fe-pipeline-nn", "kernel_id": "8172939"}, {"ref": "siavrez/fe-pipeline", "kernel_id": "8184671"}, {"ref": "siavrez/simple-eda-model", "kernel_id": "8168033"}, {"ref": "siavrez/different-model-for-different-signal-types", "kernel_id": "8669125"}, {"ref": "siavrez/wavenet-keras", "kernel_id": "8585833"}, {"ref": "smits31/ion-switching", "kernel_id": "8651188"}, {"ref": "gunesevitan/ion-switching-preprocessing", "kernel_id": "8127624"}, {"ref": "teejmahal20/physically-possible-optimized-rounder", "kernel_id": "8194092"}, {"ref": "teejmahal20/ion-switching-lgb-catb-optimized-rounder", "kernel_id": "8197203"}, {"ref": "teejmahal20/simple-eda-model-optimized-rounder", "kernel_id": "8198208"}, {"ref": "teejmahal20/ion-switching-exploratory-data-analysis", "kernel_id": "8134534"}, {"ref": "teejmahal20/regression-with-optimized-rounder", "kernel_id": "8165229"}, {"ref": "teejmahal20/channel-lstm-model", "kernel_id": "8234500"}, {"ref": "teejmahal20/3-simple-ideas-ensemble", "kernel_id": "8383808"}, {"ref": "teejmahal20/ion-550-features-lightgbm", "kernel_id": "8335441"}, {"ref": "teejmahal20/wavenet-keras-kalman-filter-pre-processing", "kernel_id": "8637050"}, {"ref": "teejmahal20/a-signal-processing-approach-kalman-filtering", "kernel_id": "8514862"}, {"ref": "teejmahal20/a-signal-processing-approach-low-pass-filtering", "kernel_id": "8441722"}, {"ref": "teejmahal20/single-model-lgbm-kalman-filter", "kernel_id": "8579452"}, {"ref": "teejmahal20/the-viterbi-algorithm-kalman-filtering", "kernel_id": "8543620"}, {"ref": "binaicrai/ion-switching-by-avanlanche", "kernel_id": "8153529"}, {"ref": "binaicrai/wavenet-on-drift-removed-data", "kernel_id": "8810727"}, {"ref": "vaibhavsxn/logisticregcv-new-metric", "kernel_id": "8127645"}, {"ref": "kmat2019/train-test-similarity-analysis", "kernel_id": "8235159"}, {"ref": "kmat2019/u-net-1d-cnn-with-keras", "kernel_id": "8148787"}, {"ref": "ajax0564/keras-1d-cnn", "kernel_id": "8234923"}, {"ref": "varunyadav17/liverpool-ion-switching", "kernel_id": "8181876"}, {"ref": "anaidashaginian/eda-fft-qwk", "kernel_id": "8592606"}, {"ref": "sid9812/liverpool-ion-switching", "kernel_id": "8495571"}, {"ref": "sid9812/u-net-cnn-ion-switching", "kernel_id": "8546249"}, {"ref": "sid9812/ion-switching-lgb", "kernel_id": "8538191"}, {"ref": "harshitt21/ion-switching", "kernel_id": "8148340"}, {"ref": "harshitt21/ion-switching-small-batch-sizes", "kernel_id": "8643984"}, {"ref": "jt120lz/open-channel-clear-plot", "kernel_id": "8837849"}, {"ref": "jdobrow/exploratory-data-analysis", "kernel_id": "8135756"}, {"ref": "jdobrow/exploratory-feature-engineering", "kernel_id": "8178254"}, {"ref": "divyansh22/lgbm-regressor-ion-switch-10-groupkfold-strategy", "kernel_id": "8955555"}, {"ref": "divyansh22/ion-switching-visualization-smoothing", "kernel_id": "8292423"}, {"ref": "anushakarthik1991/u-net-starter-code-0-939", "kernel_id": "8505494"}, {"ref": "hirayukis/lightgbm-keras-and-4-kfold", "kernel_id": "8850464"}, {"ref": "brodzik/lightgbm-ion-switching", "kernel_id": "8207533"}, {"ref": "eliasgreen/ions-and-pytorch-nn", "kernel_id": "8356500"}, {"ref": "rexwp94/eda-using-r", "kernel_id": "8127859"}, {"ref": "maobinfu1988/exploratory-analysis-on-ion-switching-data", "kernel_id": "8145491"}, {"ref": "misakrug/kernel397154465c", "kernel_id": "8155704"}, {"ref": "nayuts/simple-eda-sliced-by-several-perspective", "kernel_id": "8133066"}, {"ref": "rohitsingh9990/ion-switching-inference-lb-0-939", "kernel_id": "8413753"}, {"ref": "rohitsingh9990/lgb-featureengineering-lb-0-940", "kernel_id": "8429536"}, {"ref": "nikitaalbert/a-quicker-way-to-train-neural-net", "kernel_id": "8351841"}, {"ref": "nickfleece/liverpool-ions", "kernel_id": "8375731"}, {"ref": "davidugoomenukwa/fork-of-ion-switching-nearest-neighbor", "kernel_id": "8481954"}, {"ref": "icarofreire/only-one-model", "kernel_id": "8643496"}, {"ref": "mdmahmudferdous/1d-cnn-for-ion-switching-classification", "kernel_id": "8884595"}, {"ref": "ashutosh619sudo/ion-channel-with-conv1d-and-bidirectional-gru", "kernel_id": "8917244"}, {"ref": "frankmollard/rf-weighted-features-kalman", "kernel_id": "8905875"}, {"ref": "frankmollard/naive-bayes-classifier", "kernel_id": "8784525"}, {"ref": "frankmollard/random-gbm-ion-shift-rfc", "kernel_id": "8965930"}, {"ref": "frankmollard/double-wavenet-keras", "kernel_id": "8710473"}, {"ref": "frankmollard/h2o-random-forest-using-c-for-preprocessing", "kernel_id": "8717407"}, {"ref": "frankmollard/how-the-public-kernels-fit", "kernel_id": "8145341"}, {"ref": "nxrprime/single-model-lgbm-kalman-filter-ii", "kernel_id": "8592096"}, {"ref": "nxrprime/on-monte-carlo-simulations", "kernel_id": "8505118"}, {"ref": "nxrprime/u-net-1d-cnn-with-keras", "kernel_id": "8163878"}, {"ref": "nxrprime/physically-possible-ii-now-an-ensemble", "kernel_id": "8188819"}, {"ref": "nxrprime/ensemble-starter", "kernel_id": "8269242"}, {"ref": "ejunichi/for-japanese-one-feature-model", "kernel_id": "8953123"}, {"ref": "kashga/advance-visualization-logistic-regression-xgb", "kernel_id": "8151914"}, {"ref": "rahulubhagat/ion-switching-knn-kfold", "kernel_id": "8424666"}, {"ref": "imsanjoykb/features-analysis-knn-competition", "kernel_id": "8924599"}, {"ref": "reohonda/ion-switching-pls-regression", "kernel_id": "8234476"}, {"ref": "taeseobshin/ion-switching", "kernel_id": "8273363"}, {"ref": "parkjunbum/notebook", "kernel_id": "8259981"}, {"ref": "tosinabase/boundary-classifier-using-quadratic-equations", "kernel_id": "8932764"}, {"ref": "tosinabase/segments-color-visualization-by-target", "kernel_id": "8819075"}, {"ref": "sandeepwaghulde/ion-switching-chrononet-attempt", "kernel_id": "8291846"}, {"ref": "krparekh24/ion-switching", "kernel_id": "8750409"}, {"ref": "giovannipilloni/test-ionchannels", "kernel_id": "8875163"}, {"ref": "aryankhatri/predicting-open-ion-channels-with-cleaned-data", "kernel_id": "8914253"}, {"ref": "titericz/build-datasets-1", "kernel_id": "9332049"}, {"ref": "titericz/remove-trends-giba-explained", "kernel_id": "9710907"}, {"ref": "titericz/gpu-rf-xgb", "kernel_id": "9781300"}, {"ref": "titericz/shifted-rfc-pipeline-using-cuml-rf-gpu", "kernel_id": "9847715"}, {"ref": "titericz/randomforest-on-gpu-in-3-minutes", "kernel_id": "9849396"}, {"ref": "broach/simple-linear-model-with-augmentation", "kernel_id": "9216004"}, {"ref": "vicensgaitan/1-remove-drift-ac", "kernel_id": "9704022"}, {"ref": "vicensgaitan/2-wavenet-swa", "kernel_id": "9704717"}, {"ref": "group16/private-0-9688-a-better-but-useless-solution", "kernel_id": "9753268"}, {"ref": "vovcick/50-hz-phase-reveals-some-data-secrets", "kernel_id": "9698901"}, {"ref": "meminozturk/into-the-wild-wavenet", "kernel_id": "9728632"}, {"ref": "meminozturk/into-the-wild-lgb-regression", "kernel_id": "9713864"}, {"ref": "meminozturk/into-the-wild-mlp-regression", "kernel_id": "9713867"}, {"ref": "meminozturk/into-the-wild-rfc-classification", "kernel_id": "9713976"}, {"ref": "meminozturk/into-the-wild-xgb-submission", "kernel_id": "9736098"}, {"ref": "robikscube/liverpool-ion-switching-leaderboard-tracking", "kernel_id": "9048130"}, {"ref": "robikscube/ion-challenge-anchor-point-mystery", "kernel_id": "9762191"}, {"ref": "sirishks/0-918-only-signal-no-model", "kernel_id": "9265956"}, {"ref": "bsteenwi/anomaly-detection-on-part-of-dataset", "kernel_id": "9428924"}, {"ref": "kishor1210/kernel21e8455b1b", "kernel_id": "9220401"}, {"ref": "kishor1210/kalman-filter-removed-drift-lgbm-0-940", "kernel_id": "9524171"}, {"ref": "jasonhernacki/stacked-wavenet-lstm-w-further-work", "kernel_id": "9361300"}, {"ref": "elmahy/ion-switching-with-keras", "kernel_id": "9020836"}, {"ref": "johnoliverjones/both-sides-now", "kernel_id": "9080449"}, {"ref": "sheriytm/private-0-97266-a-better-but-useless-solution", "kernel_id": "9764938"}, {"ref": "shinogi/lgbm-optuna-wavenet-with-shifted-rfc-proba-and-cb", "kernel_id": "9324763"}, {"ref": "shinogi/kalman-variation", "kernel_id": "9259770"}, {"ref": "khyeh0719/wavenet-with-augmentation-2", "kernel_id": "9212166"}, {"ref": "ashora/understanding-ion-switching-with-modeling", "kernel_id": "9247833"}, {"ref": "ashora/wavenet-with-shifted-rfc-proba-and-cbr", "kernel_id": "9214804"}, {"ref": "shanu1988/new-deep-nlp", "kernel_id": "9364094"}, {"ref": "tugrulguner/gruorcnn-ionswitching", "kernel_id": "9291977"}, {"ref": "graf10a/rapids-knn-30-seconds-0-938-41f10d", "kernel_id": "9294157"}, {"ref": "bhargavbhatt/basic-data-visualization-and-overview", "kernel_id": "9078119"}, {"ref": "marcellosusanto/ionswitching-preprocessing", "kernel_id": "9623425"}, {"ref": "keitarokonishi/lgbm-version-wavenet-with-shifted-rfc-proba-and-cb", "kernel_id": "9321198"}, {"ref": "cdeotte/top-solutions-ensemble-0-947", "kernel_id": "9741150"}, {"ref": "khoongweihao/busu-net-with-tensorflow-keras", "kernel_id": "9239429"}, {"ref": "vbmokin/wavenet-with-shifted-rfc-proba-cbr-fe-upgrade", "kernel_id": "9309328"}, {"ref": "pathofdata/wavelet-transfrom-wavenet", "kernel_id": "9449095"}, {"ref": "kittlein/a-simple-wavenet-in-r", "kernel_id": "9769642"}, {"ref": "khahuras/1st-place-non-leak-solution", "kernel_id": "9413672"}, {"ref": "wbtoms74/liverpool-ion-switching-lstm-cnn-data-w-o-drift", "kernel_id": "9240449"}, {"ref": "sulabhtiwari/nn-lstm", "kernel_id": "9048050"}, {"ref": "suparjo/training-by-segmenting-simple-split", "kernel_id": "9433903"}, {"ref": "kei96kag/ion-switching-experiment-1-lag-and-lead-features", "kernel_id": "9130272"}, {"ref": "kei96kag/ion-switching-experiment-2-lag-and-lead-features", "kernel_id": "9140779"}, {"ref": "mightyrains/automatic-lstm-drift-correction", "kernel_id": "9626231"}, {"ref": "akashsuper2000/wavenet-with-shifted-rfc-proba-and-cbr", "kernel_id": "9146145"}, {"ref": "akashsuper2000/uofliv-ensemble", "kernel_id": "9457203"}, {"ref": "ks2019/hmm-posteriordecoder-without-prior", "kernel_id": "9480901"}, {"ref": "ks2019/estimating-standard-deviations-on-new-data", "kernel_id": "9682900"}, {"ref": "frtgnn/simple-xgb-k-fold-validation-approach", "kernel_id": "9076690"}, {"ref": "frtgnn/xgb-validation-using-rapids", "kernel_id": "9618133"}, {"ref": "akihirokkkkk/silvermedal-liverpool-ion-channels", "kernel_id": "9584945"}, {"ref": "biruk1230/17th-place-simple-wavenet-solution-ion-switching", "kernel_id": "9719025"}, {"ref": "khotijahs1/identify-the-number-of-channels-open-at-each-time", "kernel_id": "9104766"}, {"ref": "neomatrix369/90-features-model-clean-datasets", "kernel_id": "9830432"}, {"ref": "neomatrix369/105-features-model-clean-datasets", "kernel_id": "9830761"}, {"ref": "neomatrix369/300-features-model-clean-datasets", "kernel_id": "9831953"}, {"ref": "neomatrix369/16-features-model-from-54-features", "kernel_id": "9734006"}, {"ref": "neomatrix369/clean-removal-of-data-drift-refactored", "kernel_id": "9095488"}, {"ref": "neomatrix369/one-feature-model-clean-datasets-refactored", "kernel_id": "9205393"}, {"ref": "neomatrix369/remove-drift-using-a-sine-function-refactored", "kernel_id": "9189635"}, {"ref": "neomatrix369/54-features-model-clean-datasets", "kernel_id": "9711351"}, {"ref": "ashoksrinivas/ion-switching-with-lgbm-0-939", "kernel_id": "9341849"}, {"ref": "fkubota/clean-batch7-signal", "kernel_id": "9404715"}, {"ref": "ilu000/create-synthetic-data", "kernel_id": "9321833"}, {"ref": "ricopue/ion-switching-in-20-lines-9-29", "kernel_id": "9040071"}, {"ref": "pyj0695/wavenet-with-shifted-rfc-proba-and-cbr-76d414", "kernel_id": "9527808"}, {"ref": "gunesevitan/ion-switching-26-model-gbdt-ensemble", "kernel_id": "9588066"}, {"ref": "kazuhito00/lgbm-using-pycaret-0-932", "kernel_id": "9639810"}, {"ref": "k123vinod/when-you-try-traditional-machine-learning", "kernel_id": "9426491"}, {"ref": "mobotan/densenet-lstm-0-941", "kernel_id": "9467103"}, {"ref": "vzaguskin/gaussiannb-plus-markov-chain-rnn-like", "kernel_id": "9437059"}, {"ref": "amoiza1/simple-catboost-high-accuracy-0-938", "kernel_id": "9601003"}, {"ref": "dragonsan17/simple-single-feature-svm", "kernel_id": "9634271"}, {"ref": "lsw1993/strange-behaviors-of-proba-data-or-i-am-wrong", "kernel_id": "9561041"}, {"ref": "john22211/rapids-knn-30-seconds-0-938", "kernel_id": "9100504"}, {"ref": "divyansh22/xgb-regressor-on-ion-switch-4-fold-cv-strategy", "kernel_id": "9041448"}, {"ref": "applehph/ion-channel-history-partly", "kernel_id": "9762289"}, {"ref": "imgremlin/ion-switching-fe-powerfulstacking", "kernel_id": "9665382"}, {"ref": "sidneyng/liverpool-ion-switching-inceptiontime-fast-ai", "kernel_id": "9296304"}, {"ref": "psm9619/0-beginning", "kernel_id": "9322962"}, {"ref": "dijorajsenroy/signal-processing-with-conv1d-and-lstms", "kernel_id": "9214953"}, {"ref": "dijorajsenroy/temporal-cnn-in-keras-for-classification-lb94-0", "kernel_id": "9308012"}, {"ref": "debojit23/automated-drift-removal-naive-approach", "kernel_id": "9537701"}, {"ref": "josecarmona/test-of-transformer-over-data-without-drift", "kernel_id": "9553793"}, {"ref": "jianhuixu/linear-relation-noise-correlation-optrounder", "kernel_id": "9304149"}, {"ref": "ruichongwang/rapids-knn-as-features", "kernel_id": "9582155"}, {"ref": "shimizumasaki/6th-place-solution-training-phase", "kernel_id": "9710922"}, {"ref": "shimizumasaki/6th-place-solution-fhmm-with-a-shared-factor", "kernel_id": "9703360"}, {"ref": "omesan619/single-feature-models", "kernel_id": "9506824"}, {"ref": "desiininja/ion-lstm", "kernel_id": "9738603"}, {"ref": "salimmjahad/wavenet-pytorch", "kernel_id": "9177461"}, {"ref": "frankmollard/inception-nn", "kernel_id": "9211302"}, {"ref": "nxrprime/wavenet-with-shifted-rfc-proba-and-cbr", "kernel_id": "9019866"}, {"ref": "ruchaathavale/finalgroup10", "kernel_id": "9217535"}, {"ref": "kishoreprabahar/rf-weighted-features-kalman", "kernel_id": "9068912"}, {"ref": "karthikbalan/finalgroup10", "kernel_id": "9200675"}, {"ref": "andreynapolov/something-interesting-in-signal", "kernel_id": "9308320"}, {"ref": "kakoimasataka/remove-pick-up-electric-noise", "kernel_id": "9275884"}, {"ref": "stdereka/2nd-place-solution-preprocessing-tricks", "kernel_id": "9706979"}, {"ref": "nischaydnk/ion-switching-with-rapids-visualization", "kernel_id": "9408128"}, {"ref": "gyanaluckydas/understanding-ion-switching-with-modeling", "kernel_id": "9143731"}, {"ref": "nekkittay/ion-switching-notebook", "kernel_id": "9496442"}, {"ref": "rohapishwana/hamiltonian-solution", "kernel_id": "9341293"}, {"ref": "simakov/rapids-knn-cugraph-test", "kernel_id": "10126298"}, {"ref": "anermakov/ion-switching-signal-transformation-to-hit-0-92", "kernel_id": "10147890"}, {"ref": "anycode/simple-mlp", "kernel_id": "10769060"}, {"ref": "jaketuricchi/r-py-shift-removal-eda-multi-modelling", "kernel_id": "10422602"}, {"ref": "rakeshptiwari/liverpool-lgbm-oofs", "kernel_id": "10044873"}, {"ref": "rakeshptiwari/liverpool-noiseremoval", "kernel_id": "10044886"}, {"ref": "rakeshptiwari/liverpool-wavenet", "kernel_id": "10044957"}, {"ref": "sadiakhanesha/denoising-with-dwt", "kernel_id": "11178778"}, {"ref": "janithwanni/as2017567-task", "kernel_id": "12390802"}, {"ref": "divyansh22/lightning-fast-xgboost-classifier-with-rapids", "kernel_id": "12604636"}, {"ref": "divyansh22/catboost-classifier-10-groupkfold-ion-switch", "kernel_id": "12604803"}, {"ref": "divyansh22/lgbm-classifier-ion-switch-5-groupkfold-strategy", "kernel_id": "12605167"}, {"ref": "divyansh22/lightning-fast-xgboost-regressor-with-rapids", "kernel_id": "12566545"}, {"ref": "divyansh22/catboost-regressor-10-groupkfold-ion-switch", "kernel_id": "12532939"}, {"ref": "bodo171/fork-of-cleandata-moremodels", "kernel_id": "12647271"}, {"ref": "jonas0/ion-switching-competition-tutorial", "kernel_id": "12415076"}, {"ref": "randishashikala/as2017340", "kernel_id": "12408352"}, {"ref": "nimtharagamage/taskas2017372", "kernel_id": "12402148"}, {"ref": "maleeshapanangala/ion-switching-as2017456", "kernel_id": "12390801"}, {"ref": "bhavinmoriya/randomforest-on-gpu-in-3-minutes", "kernel_id": "20530475"}, {"ref": "drsachingupta/ion-switching-ml-explainability", "kernel_id": "20302074"}, {"ref": "pathanamjadkhan/lgbm-classifier-ion-switch-5-groupkfold-93", "kernel_id": "21301603"}, {"ref": "ashfakyeafi/on-markov-chains-and-the-competition-data", "kernel_id": "24070930"}, {"ref": "longchen1/2-wavenet-swa", "kernel_id": "25361986"}, {"ref": "rocklen/university-of-liverpool-ion-switching", "kernel_id": "26326337"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "florencdemrozi/lesson-10-signal-processing-low-pass-filtering", "kernel_id": "34329584"}, {"ref": "darrylyunussulistyan/ionswitching-submission", "kernel_id": "81704899"}]}
{"competition_id": "18046", "kernels": [{"ref": "ayushduor/notebookc0a321c249", "kernel_id": "86914053"}]}
{"competition_id": "18047", "kernels": []}
{"competition_id": "18065", "kernels": [{"ref": "laleeth/credit-detection", "kernel_id": "7142105"}]}
{"competition_id": "18066", "kernels": []}
{"competition_id": "18069", "kernels": []}
{"competition_id": "18072", "kernels": []}
{"competition_id": "18074", "kernels": []}
{"competition_id": "18076", "kernels": []}
{"competition_id": "18077", "kernels": []}
{"competition_id": "18078", "kernels": []}
{"competition_id": "18079", "kernels": []}
{"competition_id": "18080", "kernels": []}
{"competition_id": "18081", "kernels": []}
{"competition_id": "18086", "kernels": []}
{"competition_id": "18088", "kernels": [{"ref": "seraphwedd18/incident-impact-prediction", "kernel_id": "7215532"}]}
{"competition_id": "18103", "kernels": []}
{"competition_id": "18110", "kernels": []}
{"competition_id": "18118", "kernels": []}
{"competition_id": "18119", "kernels": []}
{"competition_id": "18122", "kernels": [{"ref": "bradhuang/sample-notebook-for-iris-data-set", "kernel_id": "7320990"}, {"ref": "navneetsharma45/notebookc644b02bf3", "kernel_id": "66280374"}]}
{"competition_id": "18126", "kernels": []}
{"competition_id": "18129", "kernels": [{"ref": "lawrenceganthony/e-commerce-retention-clv-optimization", "kernel_id": "126471970"}]}
{"competition_id": "18138", "kernels": []}
{"competition_id": "18139", "kernels": []}
{"competition_id": "18146", "kernels": []}
{"competition_id": "18147", "kernels": []}
{"competition_id": "18151", "kernels": []}
{"competition_id": "18173", "kernels": [{"ref": "praveen648/cart-time-series-fft", "kernel_id": "8351548"}]}
{"competition_id": "18177", "kernels": []}
{"competition_id": "18179", "kernels": []}
{"competition_id": "18182", "kernels": []}
{"competition_id": "18183", "kernels": [{"ref": "tomkar/bike-share-eda", "kernel_id": "7467146"}]}
{"competition_id": "18191", "kernels": [{"ref": "ubamba98/starter-kernel", "kernel_id": "7684053"}, {"ref": "carnav0400/starter-kernel", "kernel_id": "7698657"}, {"ref": "chiragmittal2505/starter-kernel", "kernel_id": "7685662"}, {"ref": "sakshamaggarwal/starter-kernel-e81816", "kernel_id": "7834580"}, {"ref": "darks1der/starter-kernel-reloaded", "kernel_id": "7728557"}, {"ref": "darks1der/ensemble-all", "kernel_id": "7825367"}]}
{"competition_id": "18204", "kernels": [{"ref": "whs2018/stacking-with-sampling", "kernel_id": "7469556"}, {"ref": "robert333/kerneld75011568e", "kernel_id": "7522234"}, {"ref": "stephenkyima/rshomework01", "kernel_id": "7857486"}, {"ref": "whs2018/general-machine-learning", "kernel_id": "8060449"}, {"ref": "a763337092/lr-baseline-for-bi-class", "kernel_id": "9485358"}]}
{"competition_id": "18211", "kernels": []}
{"competition_id": "18223", "kernels": []}
{"competition_id": "18231", "kernels": [{"ref": "daniil915/kernel7f73981e25", "kernel_id": "7422240"}]}
{"competition_id": "18232", "kernels": [{"ref": "jcollinson/decision-trees-example", "kernel_id": "7623058"}, {"ref": "rohinijoshiska/testing-classifiers", "kernel_id": "7559437"}, {"ref": "rosiebolton/kernel3f4c3eaa4e", "kernel_id": "7622377"}]}
{"competition_id": "18233", "kernels": []}
{"competition_id": "18237", "kernels": [{"ref": "grapestone5321/imaterialist-fashion-2020-sample-submission", "kernel_id": "8554905"}, {"ref": "tanreinama/lb0-1213-models-training-code", "kernel_id": "8591232"}, {"ref": "kaushal2896/tensorflow-version-test", "kernel_id": "8890179"}, {"ref": "kaushal2896/imaterialist-2020-starter-eda-mask-rcnn", "kernel_id": "8590590"}, {"ref": "fanhaobei/ifashion-2020-visual-tool", "kernel_id": "8871460"}, {"ref": "julienbeaulieu/imaterialist-detectron2", "kernel_id": "8898204"}, {"ref": "akshatj52/kernel175acccf54", "kernel_id": "8858823"}, {"ref": "hemanth21/fashion-prediction", "kernel_id": "8943347"}, {"ref": "akshat1136/kernel3bda963838", "kernel_id": "8678444"}, {"ref": "mulbajjasha/my-first-kernel", "kernel_id": "8763098"}, {"ref": "nayuts/imaterialist-fashion-2020-data-overview", "kernel_id": "8561226"}, {"ref": "aipythoner/fashion-segmentation-preprocessing", "kernel_id": "8549237"}, {"ref": "tathagatbanerjee/eda-mask-rcnn-visualization", "kernel_id": "8909820"}, {"ref": "adityamehndiratta/imaterialist-fashion-2020-starter-eda", "kernel_id": "8668763"}, {"ref": "adityamehndiratta/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "8981496"}, {"ref": "akshatag10/kernel29563efe5f", "kernel_id": "8951410"}, {"ref": "akshatag10/kernel7e5fb61efd", "kernel_id": "8946981"}, {"ref": "akshatag10/kernel14be54d714", "kernel_id": "8940916"}, {"ref": "fanhaobei/ifashion-2020-evaluate-cocoapi", "kernel_id": "9505596"}, {"ref": "fanhaobei/ifashion-2020-masks-scale-analysis", "kernel_id": "9624899"}, {"ref": "fanhaobei/ifashion-2020-anchors-kmeans", "kernel_id": "9585746"}, {"ref": "soham1024/easy-learn-cnn-keras-99-81-accuracy", "kernel_id": "9041790"}, {"ref": "soham1024/basic-neural-network-from-scratch-in-python", "kernel_id": "9080374"}, {"ref": "yanastamenova/imaterialist-segmentation-task", "kernel_id": "9146734"}, {"ref": "mobinalhassan/imaterialist-c-2020", "kernel_id": "9949060"}, {"ref": "doranlyong/data-loader-for-pytorch", "kernel_id": "9630108"}, {"ref": "manikantakodimala/mask-rcnn", "kernel_id": "9623970"}, {"ref": "snagerashish/eda-maskr-cnn-lb-0-23", "kernel_id": "9144897"}, {"ref": "ajinkya1214/kernel6a5fd81147", "kernel_id": "9513171"}, {"ref": "ashish2001/imaterialist-2020-starter-eda", "kernel_id": "11561554"}, {"ref": "tejaskhandwekar/imaterialist-2020-starter-eda-mask-rcnn", "kernel_id": "12844602"}, {"ref": "joydeep2683/imat-train-20", "kernel_id": "13899478"}, {"ref": "mcampironi/training-mask-r-cnn-to-be-a-fashionista-lb-0-07", "kernel_id": "15808543"}, {"ref": "niclasbrger/imaterialist-2020-starter-eda-mask-rcnn", "kernel_id": "16109155"}, {"ref": "darioviva/imaterialist-2020-starter-eda-mask-rcnn", "kernel_id": "16110102"}, {"ref": "andrewshandy/data-loader-for-pytorch", "kernel_id": "18614532"}, {"ref": "gonzaromeror/segmentation-using-detectron", "kernel_id": "22523925"}, {"ref": "janhavidadhania/imaterialist-detectron2", "kernel_id": "24315663"}, {"ref": "lahbibfedi/mask-rcnn-5c0d79", "kernel_id": "26244772"}, {"ref": "ajayarjunwadkar/final-detectron2-combined", "kernel_id": "26663565"}, {"ref": "sayamsingla/imateralist-detectron", "kernel_id": "27676541"}, {"ref": "helgesander/imaterialist-fashion-mask-train-pytorch", "kernel_id": "27104719"}, {"ref": "dschettler8845/tf-guie-train-from-scratch-part-1", "kernel_id": "29105530"}, {"ref": "marshallcao/tf-guie-train-from-scratch-part-1", "kernel_id": "37439136"}, {"ref": "despairwojak/cv-module-3-hw", "kernel_id": "47649607"}, {"ref": "nazarkononnenko/cv-hm3", "kernel_id": "47781684"}, {"ref": "raaggeesingh/train-yolo-attri", "kernel_id": "74791284"}, {"ref": "raaggee/train-yolo-test-on-classid-de5de2", "kernel_id": "75835709"}, {"ref": "avishkarsonni001/notebook024c625252", "kernel_id": "79623501"}, {"ref": "avishkarsonni002/notebookf90550b651", "kernel_id": "79708558"}, {"ref": "olamiposia/movie-theater", "kernel_id": "121351260"}, {"ref": "walethewave/notebook65b967bc30", "kernel_id": "131492908"}]}
{"competition_id": "18241", "kernels": []}
{"competition_id": "18243", "kernels": [{"ref": "valviv/starter-python", "kernel_id": "7547084"}]}
{"competition_id": "18245", "kernels": []}
{"competition_id": "18248", "kernels": [{"ref": "adoury/first-look-into-the-data", "kernel_id": "7455033"}, {"ref": "xingvictor/example-notebook-with-a-small-cnn-score-0-48365", "kernel_id": "8854590"}, {"ref": "tamonnakano/tamon-dl", "kernel_id": "8648687"}, {"ref": "bindupriyathay/first-look-into-the-data", "kernel_id": "16274682"}]}
{"competition_id": "18251", "kernels": []}
{"competition_id": "18255", "kernels": []}
{"competition_id": "18256", "kernels": []}
{"competition_id": "18264", "kernels": []}
{"competition_id": "18276", "kernels": []}
{"competition_id": "18278", "kernels": [{"ref": "mmmarchetti/flowers-on-tpu-ii", "kernel_id": "6810482"}, {"ref": "volody/kernel-mashup", "kernel_id": "7964304"}, {"ref": "adityaecdrid/quest-to-use-use-pytorch-xla", "kernel_id": "7920011"}, {"ref": "shrutimechlearn/check-out-tpu", "kernel_id": "7983928"}, {"ref": "anubhav1302/tpu-flower-classification", "kernel_id": "7923665"}, {"ref": "atamazian/100-flowers-on-tpu-with-nasnetlarge", "kernel_id": "7988563"}, {"ref": "gsdeepakkumar/working-with-tpus-learner-s-kernel", "kernel_id": "7996020"}, {"ref": "grapestone5321/flower-classification-sample-submission", "kernel_id": "7921899"}, {"ref": "iamprateek/flower-classification-with-tpu", "kernel_id": "7951425"}, {"ref": "dimitreoliveira/flower-classification-with-tpus-eda-and-baseline", "kernel_id": "7975972"}, {"ref": "ragnar123/4-kfold-densenet201", "kernel_id": "7962293"}, {"ref": "sanikamal/flower-classification-dnet201-enetb7", "kernel_id": "7966677"}, {"ref": "rakibilly/flowers-for-beginners-like-me-on-tpu", "kernel_id": "7928206"}, {"ref": "yihdarshieh/custom-training-with-tpu", "kernel_id": "7919758"}, {"ref": "ratan123/densenet201-flower-classification-with-tpus", "kernel_id": "7924234"}, {"ref": "shank885/flowers-custom-data", "kernel_id": "7931877"}, {"ref": "shank885/flower-classification-with-tpu", "kernel_id": "7938614"}, {"ref": "duketemon/getting-started-with-100-flowers-on-tpu", "kernel_id": "7919724"}, {"ref": "gskdhiman/enet-b7-densenet-with-tta", "kernel_id": "7986639"}, {"ref": "phunghieu/flowers-with-tpu-ensembling-models", "kernel_id": "7977234"}, {"ref": "phunghieu/flowers-with-tpu-inceptionresnet-focalloss", "kernel_id": "7977332"}, {"ref": "phunghieu/flowers-with-tpu-densenet201-focalloss", "kernel_id": "7977149"}, {"ref": "phunghieu/flowers-with-tpu-resnet152-focalloss", "kernel_id": "7977192"}, {"ref": "phunghieu/flowers-with-tpu-efficientnetb7-focalloss", "kernel_id": "7959038"}, {"ref": "phunghieu/flowers-with-tpu-inception-focalloss", "kernel_id": "7983264"}, {"ref": "phunghieu/flowers-with-tpu-xception-focalloss", "kernel_id": "7983233"}, {"ref": "phunghieu/flowers-with-tpu-mobilenet-focalloss", "kernel_id": "7983588"}, {"ref": "phunghieu/flowers-with-tpu-vgg19-focalloss", "kernel_id": "7983606"}, {"ref": "kaushal2896/inceptionv3-100-flowers-classification", "kernel_id": "7925580"}, {"ref": "sharansmenon/flower-classification-tensorflow-tpu", "kernel_id": "7931131"}, {"ref": "xhlulu/flowers-tpu-concise-efficientnet-b7", "kernel_id": "7920473"}, {"ref": "msheriey/104-flowers-garden-of-eden-starter-kernel", "kernel_id": "7986534"}, {"ref": "msheriey/104-flowers-direct-submission", "kernel_id": "7960855"}, {"ref": "msheriey/flowers-on-tpu-ensemble-lr-schedule", "kernel_id": "7934619"}, {"ref": "chariots17/flower-classification-using-transfer-learning", "kernel_id": "7971672"}, {"ref": "mpwolke/valentine-s-day-no-tpu", "kernel_id": "7956925"}, {"ref": "anyexiezouqu/tpu-enet-b7-xception-densnet201", "kernel_id": "7983966"}, {"ref": "gogo827jz/deeper-efficientnet-b7", "kernel_id": "7927308"}, {"ref": "catadanna/getting-started-with-100-flowers-on-tpu", "kernel_id": "7925262"}, {"ref": "catadanna/data-balancing-solution-with-tpu", "kernel_id": "7958987"}, {"ref": "wrrosa/tpu-enet-b7-densenet", "kernel_id": "7931274"}, {"ref": "mgorner/getting-started-with-100-flowers-on-tpu", "kernel_id": "7735571"}, {"ref": "mgorner/one-hundred-flower-spot-check", "kernel_id": "7773169"}, {"ref": "mgorner/gpu-test-flowers-on-tpu-ensemble-lr-schedule", "kernel_id": "7960181"}, {"ref": "wenzhezhao/classify-dishes-with-efficientnet-b7-tpu", "kernel_id": "7967397"}, {"ref": "akihironomura/tpu-efficientnetb7-inceptionresnetv2", "kernel_id": "7938777"}, {"ref": "dmcgow/flowers-tpu", "kernel_id": "7994303"}, {"ref": "hddchelsea/100-flowers-on-tpu-enet-b7-lr", "kernel_id": "7994336"}, {"ref": "danielmorton/enet-with-100-flowers-on-tpu", "kernel_id": "8970294"}, {"ref": "philculliton/a-simple-tf-2-1-notebook", "kernel_id": "8286572"}, {"ref": "luonganhtuan93/ensemble-enet-b7-and-densenet201", "kernel_id": "8519592"}, {"ref": "tgibbons/gibbons-basic-100flowers", "kernel_id": "8502174"}, {"ref": "guitaricet/super-minimalistic-starter", "kernel_id": "8053934"}, {"ref": "ilearning99/flower-classification-with-tpus", "kernel_id": "8347858"}, {"ref": "alexjj/getting-started-with-100-flowers-on-tpu", "kernel_id": "8357552"}, {"ref": "robonidos/getting-started-with-100-flowers-on-tpu", "kernel_id": "8201145"}, {"ref": "jagannathrk/flower-classification-enet-b7-densenet", "kernel_id": "8328724"}, {"ref": "agentauers/tsne-map-of-low-resolution-training-data", "kernel_id": "8739631"}, {"ref": "calebeverett/efficientnetb6-with-transformation", "kernel_id": "8821906"}, {"ref": "calebeverett/efficientnetb7-with-transformation", "kernel_id": "8832542"}, {"ref": "volody/models-confusion-matrix", "kernel_id": "8768924"}, {"ref": "kishor1210/tpu-flowerclasses", "kernel_id": "8055037"}, {"ref": "byrachonok/pytorch-xla-for-tpuv3", "kernel_id": "8148960"}, {"ref": "alexfi/tpu-resnet-flower-detection", "kernel_id": "8962472"}, {"ref": "qinhui1999/pytorch-xla-for-tpu-with-multiprocessing", "kernel_id": "8535940"}, {"ref": "qinhui1999/create-pytorch-xla-datas", "kernel_id": "8552006"}, {"ref": "qinhui1999/5-kfold-efficentne-e7-p2", "kernel_id": "8063060"}, {"ref": "qinhui1999/5-kfold-efficentne-e7-p5", "kernel_id": "8068492"}, {"ref": "qinhui1999/5-kfold-efficentne-e7-p3", "kernel_id": "8068010"}, {"ref": "qinhui1999/5-kfold-efficentne-e7-p4", "kernel_id": "8068022"}, {"ref": "qinhui1999/5-kfold-efficentne-e7-p1", "kernel_id": "8057758"}, {"ref": "qinhui1999/fork-of-tpu-enet-b7-incepentionresnetv2-densene", "kernel_id": "8199821"}, {"ref": "qinhui1999/tpu-enet-b7-densenet-random-cut", "kernel_id": "8142318"}, {"ref": "qinhui1999/fork-of-fork-of-tpu-enet-b7-incepentionresnetv2", "kernel_id": "8225674"}, {"ref": "qinhui1999/kernel4-aug", "kernel_id": "8225632"}, {"ref": "qinhui1999/flower-classification-enet-b7-densenet-aug", "kernel_id": "8317151"}, {"ref": "qinhui1999/tpu-enet-b7-incepention-b6", "kernel_id": "8281883"}, {"ref": "qinhui1999/flowertpuwin-densenet201", "kernel_id": "8899017"}, {"ref": "jd81197/kernel4fcb503f8e", "kernel_id": "8199890"}, {"ref": "jd81197/kernel7d7496313a", "kernel_id": "8174033"}, {"ref": "jd81197/flower-classsification-1", "kernel_id": "8159526"}, {"ref": "dimitreoliveira/bug-report-unavailableerror-socket-closed", "kernel_id": "8485497"}, {"ref": "dimitreoliveira/flower-with-tpus-advanced-augmentations", "kernel_id": "8156367"}, {"ref": "dimitreoliveira/flower-with-tpus-k-fold-optimized-training-loop", "kernel_id": "8387784"}, {"ref": "akshat4112/104-flower-classification-tpus-efficientnet-b7", "kernel_id": "8989212"}, {"ref": "ar2017/flower-classification-with-densenet201-enetb7", "kernel_id": "8892632"}, {"ref": "harshpatel1692/flower-classification-submission", "kernel_id": "8777154"}, {"ref": "cassandraheide/tpu-getting-started-notebook-xception", "kernel_id": "8867076"}, {"ref": "muhammetfaik/with-100-flowers-on-tpu-and", "kernel_id": "8160919"}, {"ref": "kurianbenoy/introduction-kernel-for-petal2metal-flowers-0-97", "kernel_id": "8083297"}, {"ref": "taohoang/flowertpuwin", "kernel_id": "8795461"}, {"ref": "taohoang/flower-classification-enet-b7-densenet201", "kernel_id": "8622992"}, {"ref": "taohoang/getting-started-with-100-flowers-on-tpu", "kernel_id": "8553822"}, {"ref": "arbazkhan971/flower-gpu-fastai", "kernel_id": "8161953"}, {"ref": "mamansour/kernel67acc5c039", "kernel_id": "8898415"}, {"ref": "gauravchopracg/understanding-tfrecord-format", "kernel_id": "8342008"}, {"ref": "yihdarshieh/problematic-lr", "kernel_id": "8390327"}, {"ref": "yihdarshieh/quick-fix-lr", "kernel_id": "8391141"}, {"ref": "yihdarshieh/perspective-transformation", "kernel_id": "8296961"}, {"ref": "yihdarshieh/batch-implementation-of-more-data-augmentations", "kernel_id": "8287180"}, {"ref": "yihdarshieh/tutorial-oversample", "kernel_id": "8209848"}, {"ref": "yihdarshieh/make-chris-deotte-s-data-augmentation-faster", "kernel_id": "8194769"}, {"ref": "yihdarshieh/tpu-gradient-accumulation", "kernel_id": "8442022"}, {"ref": "chekoduadarsh/inceptionresnetv2-tpu-vs-gpu-benchmark", "kernel_id": "8020511"}, {"ref": "chekoduadarsh/densenet-tpu-vs-gpu-benchmark-2", "kernel_id": "8029559"}, {"ref": "shaunthesheep/flower-classification-with-tpus", "kernel_id": "8692198"}, {"ref": "harisj/flower-v1", "kernel_id": "8608445"}, {"ref": "yasufuminakama/flower-pytorch-xla-se-resnext50", "kernel_id": "8812243"}, {"ref": "cdeotte/cutmix-and-mixup-on-gpu-tpu", "kernel_id": "8168142"}, {"ref": "cdeotte/rotation-augmentation-gpu-tpu-0-96", "kernel_id": "8122618"}, {"ref": "shank885/tpu-enet-b7-densenet", "kernel_id": "8022862"}, {"ref": "rohans1497/tpu-104-flower-v1", "kernel_id": "8886377"}, {"ref": "gskdhiman/eda-effect-of-augmentation", "kernel_id": "8088329"}, {"ref": "liangqingyuan/flowertpuwin", "kernel_id": "8907348"}, {"ref": "liangqingyuan/flowers-on-tpu-densenet", "kernel_id": "8212198"}, {"ref": "vasukalariya/flower2", "kernel_id": "8681949"}, {"ref": "akashsuper2000/fork-of-flowers-on-tpu-ii-b26631", "kernel_id": "8208799"}, {"ref": "akashsuper2000/flowers-on-tpu-ii", "kernel_id": "8048227"}, {"ref": "akashsuper2000/tpu-enet-b7-densenet", "kernel_id": "8045094"}, {"ref": "akashsuper2000/getting-started-with-100-flowers-on-tpu", "kernel_id": "8032659"}, {"ref": "akashsuper2000/flower-classification-ensemble", "kernel_id": "8472011"}, {"ref": "akashsuper2000/enetb7-model", "kernel_id": "8784174"}, {"ref": "swghosh/104-flowers-classification-using-efficientnetb7", "kernel_id": "8847389"}, {"ref": "saife245/cutmix-vs-mixup-vs-gridmask-vs-cutout", "kernel_id": "8596722"}, {"ref": "dhananjay3/fast-pytorch-xla-for-tpu-with-multiprocessing", "kernel_id": "8230672"}, {"ref": "dhananjay3/pytorch-xla-for-tpu-with-multiprocessing", "kernel_id": "8229816"}, {"ref": "dhananjay3/pytorch-xla-for-tpu-with-single-core", "kernel_id": "8245865"}, {"ref": "rbsathish27/fork-of-flower-classifier", "kernel_id": "8128326"}, {"ref": "psaikko/augmentations-with-reflect-padding", "kernel_id": "8926699"}, {"ref": "dannymac180/flower-classification-w-tpus", "kernel_id": "8935457"}, {"ref": "tt195361/fmix-data-augmentation-by-tensorflow", "kernel_id": "8625695"}, {"ref": "andyden/efficientnetb7-for-flower-recognition", "kernel_id": "8626764"}, {"ref": "redwankarimsony/kernel-merge-sub-densenet201-efficentnetb7", "kernel_id": "8965351"}, {"ref": "redwankarimsony/flower-classification-densenet-effecientnetb7", "kernel_id": "8927061"}, {"ref": "prasadpatil99/did-you-know-this-about-gpu-tpu", "kernel_id": "8316549"}, {"ref": "leosuky/flower-classification-with-tpu-efficientnet", "kernel_id": "8387932"}, {"ref": "rininobaron/densenet-3-conv2d-predicts-flowers-on-tpu", "kernel_id": "8172578"}, {"ref": "nickshow11/flower-classification-tpu", "kernel_id": "8169667"}, {"ref": "szacho/augmix-data-augmentation-on-tpu", "kernel_id": "8915523"}, {"ref": "xiejialun/prepare-pseudo-label", "kernel_id": "8306051"}, {"ref": "xiejialun/customize-data-augmentation-with-tensorflow", "kernel_id": "8115461"}, {"ref": "xiejialun/gridmask-data-augmentation-with-tensorflow", "kernel_id": "8186955"}, {"ref": "ladanuzhna/flower-classification-with-tpu", "kernel_id": "8743631"}, {"ref": "dishashetty04/breast-cancer", "kernel_id": "8267620"}, {"ref": "tarunbisht11/flower-classification-tpu", "kernel_id": "8989587"}, {"ref": "haveri/flowerflowerwhoareyou-onlysubmissions-ensembling", "kernel_id": "8759839"}, {"ref": "tbourton/transfer-learning-densenet201", "kernel_id": "8905462"}, {"ref": "meenakshiramaswamy/tpu-flowers-cutmix-ensemble", "kernel_id": "8075951"}, {"ref": "pawanverma/flowers-efficient-net-dense", "kernel_id": "8960703"}, {"ref": "romanweilguny/custom-training-loop-flowers-tpu-deotte", "kernel_id": "8922566"}, {"ref": "romanweilguny/tpu-flowers-first-love", "kernel_id": "8733634"}, {"ref": "mgorner/custom-training-loop-with-100-flowers-on-tpu", "kernel_id": "8369186"}, {"ref": "namanmehta1/flower-classification-lb-0-964", "kernel_id": "8940620"}, {"ref": "gauravjagnani/flower-classification-with-tpus", "kernel_id": "8967234"}, {"ref": "xufangbin/getting-started-with-100-flowers-on-tpu", "kernel_id": "8972451"}, {"ref": "xufangbin/flower", "kernel_id": "8973010"}, {"ref": "fireballbyedimyrnmom/tpus-and-flowers-v3", "kernel_id": "8029387"}, {"ref": "adeelajmal/flower-classification-using-tpu", "kernel_id": "8007122"}, {"ref": "sebastiankoenig/flower-classification-ensemble", "kernel_id": "8258199"}, {"ref": "srashtigoyal/flowers-with-tpu", "kernel_id": "8924409"}, {"ref": "ysanojpn/flowers-on-tpu-efficient-inception-ens", "kernel_id": "8435405"}, {"ref": "dmcgow/flower-mul-net", "kernel_id": "8028398"}, {"ref": "dmcgow/flower-lr-schedule", "kernel_id": "8027055"}, {"ref": "darwinwin/tpu-flowerclasses", "kernel_id": "8186865"}, {"ref": "darwinwin/flower-classification-with-tpu", "kernel_id": "8186866"}, {"ref": "darwinwin/tpu-enet-b7-densenet", "kernel_id": "8186867"}, {"ref": "wangqiyuan/super-minimalistic-starter", "kernel_id": "8259836"}, {"ref": "pierrebaume/1000s-of-flowers-on-tpu-augmented-efficientnetb7", "kernel_id": "8146316"}, {"ref": "maianz/data-augmentation-naive-ensemble", "kernel_id": "8713478"}, {"ref": "ajayreyo/bug-report-unavailableerror-socket-closed", "kernel_id": "8663193"}, {"ref": "tusharkendre/tpu-flowers", "kernel_id": "8779246"}, {"ref": "chrismartinis/100-what-flower", "kernel_id": "8945721"}, {"ref": "liangjiezhang/flower-pytorch-xla-resnet50", "kernel_id": "8995959"}, {"ref": "ilearning99/flower-classification-with-tpus-efn-densenet", "kernel_id": "9163769"}, {"ref": "mitkadiver/flowers-on-tpu", "kernel_id": "9334150"}, {"ref": "ibrahimsobh/recipe-flower-classification-tpu-0-95-pub", "kernel_id": "9538578"}, {"ref": "ibrahimsobh/flower-classification-tpu-0-96-pub", "kernel_id": "9645803"}, {"ref": "aemulcahy/kernel74d3009a39", "kernel_id": "9395437"}, {"ref": "azazdeaz/tl-with-inception-v3-trained-on-inaturalist", "kernel_id": "9276586"}, {"ref": "gavindya/flowers-on-tpu", "kernel_id": "9011984"}, {"ref": "calebeverett/comparison-of-tta-prediction-procedures", "kernel_id": "9034894"}, {"ref": "calebeverett/combining-dataset-examples", "kernel_id": "9063517"}, {"ref": "qinhui1999/tpu-enet-b7-incepention-b6-new", "kernel_id": "9336779"}, {"ref": "qinhui1999/104-flowers-blending-0507", "kernel_id": "9342362"}, {"ref": "asierarteaga/getting-started-with-100-flowers-on-tpu", "kernel_id": "9393786"}, {"ref": "kurianbenoy/training-with-oxford-external-data-keras-efnet", "kernel_id": "9042555"}, {"ref": "rhtsingh/tpu-flower-classification", "kernel_id": "9097594"}, {"ref": "coreacasa/flower-class-tpu-densenet-training-v3", "kernel_id": "9411293"}, {"ref": "coreacasa/flower-class-tpu-efficientnet-training-v3", "kernel_id": "9411387"}, {"ref": "coreacasa/flower-classification-tpu-inference-v3", "kernel_id": "9415150"}, {"ref": "coreacasa/flower-class-tpu-efficientnet-training-v2", "kernel_id": "9349982"}, {"ref": "coreacasa/flower-class-tpu-densenet-training-v2", "kernel_id": "9350179"}, {"ref": "kintumiku/flower-classification-with-tpu", "kernel_id": "9003685"}, {"ref": "ibrahimsherify/comparing-two-different-schedulers", "kernel_id": "9092691"}, {"ref": "yihdarshieh/tpu-flower-soft-f1-loss", "kernel_id": "9414710"}, {"ref": "yihdarshieh/fork-8-of-tpu-flower", "kernel_id": "9381726"}, {"ref": "chekoduadarsh/starters-guide-custom-cnn-standard-models-tpu", "kernel_id": "9172426"}, {"ref": "yaraamin/flowers-classification", "kernel_id": "9466869"}, {"ref": "lilnader/flower-classification-focal-loss-0-98", "kernel_id": "9517258"}, {"ref": "moizhk/beginner-guide-to-classification-step-2-final", "kernel_id": "9334948"}, {"ref": "moizhk/beginner-guide-to-classification-step-1", "kernel_id": "9182959"}, {"ref": "zungmann/densenet-with-100-flowers-on-tpu", "kernel_id": "9140499"}, {"ref": "zungmann/densenet-effnet-with-100-flowers-on-tpu", "kernel_id": "9160548"}, {"ref": "mutantspore/flower-classification-petals-2a", "kernel_id": "9362301"}, {"ref": "liangqingyuan/tpu-single-model-enet-b7", "kernel_id": "9181906"}, {"ref": "shailendra2811/flower-calssification-using-vgg", "kernel_id": "9396604"}, {"ref": "akashsuper2000/tpu-multi-tier-training-with-external-datasets", "kernel_id": "9317568"}, {"ref": "abhi05147/kernel202680444e", "kernel_id": "9144448"}, {"ref": "sarkaysm/tpu-submission-sarkaysm", "kernel_id": "9268783"}, {"ref": "afshiin/flower-classification-focal-loss-0-98", "kernel_id": "9054578"}, {"ref": "mrumuly/supervised-vae-on-mnist", "kernel_id": "9034204"}, {"ref": "zzh13332470923/tpu-104-1", "kernel_id": "9292244"}, {"ref": "zzh13332470923/flowertpuwin", "kernel_id": "9339431"}, {"ref": "zzh13332470923/tpu-104-3-0-99", "kernel_id": "9336977"}, {"ref": "blaxkdolphin/flower-pytorch-xla", "kernel_id": "9196779"}, {"ref": "blaxkdolphin/tpustarter-xla", "kernel_id": "9179431"}, {"ref": "abhinavnreddy/tpu-flowerclassify", "kernel_id": "9062168"}, {"ref": "amankimothi100/flower-classification-with-tpus-eda-models", "kernel_id": "9541150"}, {"ref": "redwankarimsony/flowerflowerwhoareyou-onlysubmissions-ensembling", "kernel_id": "9293371"}, {"ref": "redwankarimsony/efficientnet-with-all-5-imagesets-s1", "kernel_id": "9291313"}, {"ref": "lucca9211/imageclassificationtpu", "kernel_id": "9074112"}, {"ref": "lucca9211/flowers-classification-on-tpu", "kernel_id": "9125711"}, {"ref": "haveri/efficientnet-with-all-5-imagesets-s1", "kernel_id": "9117918"}, {"ref": "haveri/how-similar-are-the-test-and-training-set", "kernel_id": "9134867"}, {"ref": "serosh/enetb7-512px-no-ensembling", "kernel_id": "9352878"}, {"ref": "serosh/accurate-efficientnet-no-ensembling", "kernel_id": "9316689"}, {"ref": "nsachyuth/flower-classification-sjcit", "kernel_id": "9150647"}, {"ref": "rituja18/inceptionresnetv2-tpu-vs-gpu-benchmark", "kernel_id": "9041474"}, {"ref": "sohamsave44/flower-classifier-using-densenet", "kernel_id": "9037274"}, {"ref": "sohamsave44/flower-classifier-using-enet", "kernel_id": "9053665"}, {"ref": "sohamsave44/flower-classifier-using-densenet-and-enet", "kernel_id": "9056118"}, {"ref": "stevenevan99/ensemble-augmented-on-tpu", "kernel_id": "9378544"}, {"ref": "saumyaborwankar/flower", "kernel_id": "9095564"}, {"ref": "mgorner/tpu-gpu-optimized-104-flowers-efficientnetb6", "kernel_id": "9748385"}, {"ref": "harshadeshpande/4622-finalproject-harsh", "kernel_id": "9220169"}, {"ref": "kritikagarg/flowernotebook895", "kernel_id": "9276235"}, {"ref": "nikhilbartwal001/tpu-flower-classification", "kernel_id": "9163425"}, {"ref": "astzls/flower-tpu-v2", "kernel_id": "9313058"}, {"ref": "tusharkendre/tpu-enet-b7-incepention-b6", "kernel_id": "9146998"}, {"ref": "mohammedosama/flower-classification-v1", "kernel_id": "9690078"}, {"ref": "ilosvigil/ensemble-lamb-gridmask-on-tpu", "kernel_id": "9274348"}, {"ref": "wangdaxia/cv-ar-homework", "kernel_id": "9082471"}, {"ref": "sofey0/top-scoring-kernels-flower-classification-tpus", "kernel_id": "9110881"}, {"ref": "pratyakshajha/getting-started-on-100-flowers-with-fastai", "kernel_id": "9109690"}, {"ref": "rreddington/flower-tpu-new", "kernel_id": "9387185"}, {"ref": "xyfuuuuuu/flowers-tpu-concise-efficientnet-b7", "kernel_id": "9960981"}, {"ref": "piyushmishra1999/tpu-basics-with-tensorflow-2", "kernel_id": "10306758"}, {"ref": "kbrajwani/custom-training-loop-with-100-flowers-on-tpu", "kernel_id": "10449268"}, {"ref": "ayushporwal/reading-the-tfrecord-file-image-data", "kernel_id": "10355271"}, {"ref": "mohamedkandil/flower-classification-with-tpu", "kernel_id": "10259182"}, {"ref": "sashikanthreddy1598/a-simple-tf-2-1-notebook", "kernel_id": "10233489"}, {"ref": "josealways123/flowers-tpu", "kernel_id": "10379929"}, {"ref": "fatimasalman/competitions-100-types-of-flowers-on-tpu", "kernel_id": "10306302"}, {"ref": "axylos/flowerclassification-tpu", "kernel_id": "10826948"}, {"ref": "wangpengzw/kaggle-raw-data-function", "kernel_id": "10111525"}, {"ref": "srivastava09/flower-classification-using-tpu", "kernel_id": "10622180"}, {"ref": "yaoyi970403/flower-classification-project", "kernel_id": "10211293"}, {"ref": "ilosvigil/scl2020-2-5a-model-4th-place", "kernel_id": "10312205"}, {"ref": "mankomyk/kernel4267ecb26e", "kernel_id": "10761950"}, {"ref": "fadzlinrafi/using-tpus-data-augmentation-and-efficientnet", "kernel_id": "10229857"}, {"ref": "julianbenny/flower-cnn", "kernel_id": "10934998"}, {"ref": "gpreda/starter-100-flowers-on-tpu-fixed-strategy", "kernel_id": "11521814"}, {"ref": "yihdarshieh/detailed-guide-to-custom-training-with-tpus", "kernel_id": "11037630"}, {"ref": "venkatchintha/how-to-use-tpus", "kernel_id": "11355136"}, {"ref": "brendan45774/how-to-get-the-lowest-score", "kernel_id": "11212188"}, {"ref": "lukemahan/getting-started-with-100-flowers-on-tpu", "kernel_id": "11979261"}, {"ref": "catadanna/metal-cnn-architectures", "kernel_id": "12597909"}, {"ref": "rizkioktafianto/flower-classification-tpu-enet-b7", "kernel_id": "12300137"}, {"ref": "tikoboss/augmentation", "kernel_id": "12783015"}, {"ref": "sarthakrastogi/ensembling-popular-networks-for-high-accuracy", "kernel_id": "12680847"}, {"ref": "teramera/notebookc2601cc966", "kernel_id": "12502543"}, {"ref": "tekayanidham/cutmix-and-mixup-on-gpu-tpu", "kernel_id": "12339479"}, {"ref": "roohisharma/flower-classification-with-tpu", "kernel_id": "12940604"}, {"ref": "askarliu/data-augmentations-densenet201", "kernel_id": "12838922"}, {"ref": "phsaikiran/flower-classification-densenet201", "kernel_id": "13608334"}, {"ref": "dusitest1/getting-started-with-100-flowers-on-tpu-testing", "kernel_id": "13534743"}, {"ref": "sandeepganesh049/tfrecord-model1", "kernel_id": "13699182"}, {"ref": "farrahtaheri/basket-of-flowers-ensemble", "kernel_id": "13476999"}, {"ref": "mgorner/efficientnetb7-on-100-flowers", "kernel_id": "14610426"}, {"ref": "mgorner/nasnetlarge-on-100-flowers", "kernel_id": "14610445"}, {"ref": "rohitjagirdar/flowers", "kernel_id": "14628475"}, {"ref": "michatreter/flowers-dataset-cnn-testing", "kernel_id": "14528143"}, {"ref": "jennypugh/getting-started-with-100-flowers-on-tpu", "kernel_id": "14739811"}, {"ref": "seraphwedd18/tpu-get-gcs-path-check", "kernel_id": "15808954"}, {"ref": "subhamsagarpaira/cnn-flower-classification-with-tpus", "kernel_id": "15178347"}, {"ref": "semenedel/flower-classification", "kernel_id": "15269168"}, {"ref": "sanskrutighadipatil/flower-classification-1", "kernel_id": "15253879"}, {"ref": "nishita17/flower-classification-with-tpus", "kernel_id": "15300756"}, {"ref": "dhawalsoni/100-flowers", "kernel_id": "15849783"}, {"ref": "antoreepjana/tpu-flower-mixed-precision-custom-loops", "kernel_id": "15012860"}, {"ref": "xevator/flower-classification-tpu", "kernel_id": "16671026"}, {"ref": "electropavuk/flowers-v2", "kernel_id": "16661886"}, {"ref": "electropavuk/imagenet", "kernel_id": "16109220"}, {"ref": "anujd9/efficientnetb7-densenet-ensemble", "kernel_id": "17149249"}, {"ref": "rishigami/tpu-swin-transformer-tensorflow", "kernel_id": "17684747"}, {"ref": "chromerai/flower-classification", "kernel_id": "17555253"}, {"ref": "chromerai/flower-classification-using-pretrained-model", "kernel_id": "17510943"}, {"ref": "diyadodwad/notebookd9fb52d10a", "kernel_id": "17111351"}, {"ref": "sachingupta2212/flower-classification-with-tpus", "kernel_id": "17323593"}, {"ref": "sachingupta2212/notebookce8bda55ed", "kernel_id": "17305076"}, {"ref": "kaundanyachinmaya07/flower-classification-with-inception-maybe", "kernel_id": "18426284"}, {"ref": "sakshi0100/conv2d", "kernel_id": "18088458"}, {"ref": "aryaadesh/flower-classification-tpu", "kernel_id": "18612635"}, {"ref": "anu332/flower-classification-cnn", "kernel_id": "18295723"}, {"ref": "rajeshwaris/flower-classification", "kernel_id": "18876407"}, {"ref": "shayistamulla/flower-classification-with-tpus", "kernel_id": "18767926"}, {"ref": "prathikshabr/flowerclassification-cnn-kaggleproject-9", "kernel_id": "18870011"}, {"ref": "imadaatsuki/100-flowers", "kernel_id": "18037403"}, {"ref": "keerthanamreddy/flower-classification-tpu", "kernel_id": "18786972"}, {"ref": "tejasboss/flower-classification-tpu", "kernel_id": "19199654"}, {"ref": "pranjal6192/notebook889279cc30", "kernel_id": "19264501"}, {"ref": "upsunny/flower-efficientnetb7", "kernel_id": "20462353"}, {"ref": "abdelrhmanhosny/flowerclassification-efficientnet-tpu", "kernel_id": "20377267"}, {"ref": "mgen2020/flower-classify", "kernel_id": "20260972"}, {"ref": "nikhiln2312/flowers", "kernel_id": "20427391"}, {"ref": "tranquocthanhuit/tpu-swin-transformer-tensorflow", "kernel_id": "20447234"}, {"ref": "anjalikumar/getting-started-with-100-flowers-on-tpu", "kernel_id": "20271865"}, {"ref": "tianxh/efficientnetb7-on-100-flowers-modified", "kernel_id": "20652067"}, {"ref": "makinux/efficientnetb7-on-100-flowers", "kernel_id": "21672317"}, {"ref": "phanttan/getting-started-with-100-flowers-on-tpu-ptt", "kernel_id": "21632416"}, {"ref": "maoweiyang/efficientnetb7-on-100-flowers", "kernel_id": "21417798"}, {"ref": "szlky1234/tpu-swin-transformer-tensorflow-9b3de3", "kernel_id": "22834130"}, {"ref": "bachaboos/cutmix-and-mixup-on-gpu-tpu-b1f510", "kernel_id": "22531584"}, {"ref": "jaipawar/resnet50-tpu-flower-classification", "kernel_id": "22814882"}, {"ref": "teeratatperomtukorn/practice-rotation-augmentation-gpu-tpu-0-96", "kernel_id": "22142853"}, {"ref": "motono0223/tpu-swin-transformer-arcface-tf", "kernel_id": "22681068"}, {"ref": "svnsdhananjayreddy/flower-classification-with-tpus", "kernel_id": "22455452"}, {"ref": "kleckaa/100-flowers", "kernel_id": "23774190"}, {"ref": "defcodeking/transfer-learning-on-tpu-for-flower-classification", "kernel_id": "25014836"}, {"ref": "simonedegasperis/ensembling-for-flowers-classification-on-tpu", "kernel_id": "25953851"}, {"ref": "christoforostrakas/tpu-swin-transformer-tensorflow", "kernel_id": "25340122"}, {"ref": "vikrantrajput/flower-classification", "kernel_id": "26214435"}, {"ref": "vikrantrajput/tpu-swin-transformer-tensorflow", "kernel_id": "26259071"}, {"ref": "aayushkumar20bcy/tpu-practice-on-flower-dataset", "kernel_id": "26178555"}, {"ref": "awsaf49/flower-classification-gcvit-global-context-vit", "kernel_id": "28943285"}, {"ref": "kazutoshindo/notebook1137474871", "kernel_id": "28382003"}, {"ref": "kazutoshindo/fork-of-notebook1137474871", "kernel_id": "28619683"}, {"ref": "herbison/tpu-1vm-a-simple-tf-2-notebook", "kernel_id": "30270624"}, {"ref": "ahmeturunveren/flowerclassificationwithtpu", "kernel_id": "31944816"}, {"ref": "arti1117/flower-classification-with-tpus", "kernel_id": "32309563"}, {"ref": "inoueu1/tpu-flax-training-tutorial-by-inoichan", "kernel_id": "33405555"}, {"ref": "inoueu1/flax-infer-sub-tutorial-by-inoichan", "kernel_id": "33406226"}, {"ref": "inoueu1/flax-training-tutorial-by-inoichan", "kernel_id": "33395340"}, {"ref": "alirasheed1/rotation-augmentation", "kernel_id": "33014985"}, {"ref": "dettaup/flower-classification-with-tpus", "kernel_id": "34324095"}, {"ref": "dr8agcc/flower-classifier", "kernel_id": "35826683"}, {"ref": "angelprophecy/clasificar-flores", "kernel_id": "35897310"}, {"ref": "nablabits/rotation-augmentation", "kernel_id": "36338809"}, {"ref": "minhchaule/niw-petals-tpu-1vm-a-simple-tf-2-1-notebook", "kernel_id": "36772803"}, {"ref": "u288023589/cutmix-and-mixup-on-gpu-tpu-7caffa", "kernel_id": "39170135"}, {"ref": "saatmax/cputestsfd", "kernel_id": "39428236"}, {"ref": "omarallam22/2-image-classification-practice", "kernel_id": "42991707"}, {"ref": "ashar88/exploring-tfrecord-format-a-comprehensive-guide", "kernel_id": "42691606"}, {"ref": "mattarahulnitap/flower-classification-with-tpus", "kernel_id": "42713904"}, {"ref": "gopichandu1/tpu-flower-classification-assignment-420237", "kernel_id": "42714561"}, {"ref": "saadjamal/flower-classification-521ff2", "kernel_id": "47638262"}, {"ref": "ab5640/tpu-swin-transformer-tensorflow", "kernel_id": "47929232"}, {"ref": "wailbelabbes/flower-classification", "kernel_id": "47608896"}, {"ref": "sakshammittal23/getting-started-with-100-flowers-on-tpu", "kernel_id": "47330524"}, {"ref": "yuofnc/train-face-recognition-tpu", "kernel_id": "52106631"}, {"ref": "yuofnc/train-face-recognition-tpu-2", "kernel_id": "53633561"}, {"ref": "prakharchitravanshi/final-file-tpu", "kernel_id": "56254015"}, {"ref": "niketanmoon/pytorch-tranlearning-en-flower-classification", "kernel_id": "61877659"}, {"ref": "kk8998/a-simple-tf-2-1-notebook-using-tpu-on-gc", "kernel_id": "63099066"}, {"ref": "gmarchetti/tf2-15-on-tpu", "kernel_id": "70297942"}, {"ref": "adrianmartinezz/flower", "kernel_id": "94987211"}, {"ref": "quangnguynv/flower-classification-with-tpus", "kernel_id": "96256145"}, {"ref": "wckiipi/flower-classification-with-tpuv5e8", "kernel_id": "101694917"}, {"ref": "peggaq/second", "kernel_id": "104936910"}, {"ref": "peggaq/first", "kernel_id": "104922054"}, {"ref": "sevvalclalcebeciolu/flower-classification", "kernel_id": "109316247"}, {"ref": "nihalba/flowerclassification-tpus", "kernel_id": "113835245"}]}
{"competition_id": "18280", "kernels": []}
{"competition_id": "18281", "kernels": []}
{"competition_id": "18294", "kernels": [{"ref": "manojacharya/fastai-implementation-after-pre-processing-images", "kernel_id": "8731247"}, {"ref": "seshurajup/fastai-starter-code", "kernel_id": "8328990"}, {"ref": "qinhui1999/iwildcam-2020-efficientnetb7-tpu-starter-v1", "kernel_id": "8525897"}, {"ref": "qinhui1999/how-to-use-bbox-for-iwildcam-2020", "kernel_id": "8367075"}, {"ref": "grapestone5321/iwildcam-2020-sample-submission", "kernel_id": "8329613"}, {"ref": "ishthewiz/building-main-df", "kernel_id": "8492198"}, {"ref": "seriousran/image-pre-processing-for-iwild-2020", "kernel_id": "8345364"}, {"ref": "seriousran/simple-starter-iwildcam-2020", "kernel_id": "8345137"}, {"ref": "ateplyuk/iwildcam2020-pytorch-start", "kernel_id": "8408189"}, {"ref": "bsridatta/eda-and-object-extraction-for-classifier-training", "kernel_id": "8363236"}, {"ref": "aleksandradeis/iwildcam-eda", "kernel_id": "8361599"}, {"ref": "drobchak1988/iwildcam-2020-fgvc7-tensorflow-create-tfrecords", "kernel_id": "8484412"}, {"ref": "drobchak1988/iwildcam-2020-fgvc7-tensorflow-tpu-cpu-gpu", "kernel_id": "8503387"}, {"ref": "mohammadmortaji/my-first-experience-iwild2020", "kernel_id": "8392149"}, {"ref": "rogerterrazas/trailcam-models", "kernel_id": "8955346"}, {"ref": "boltcoder/iwildcam-2020-demo-kernel", "kernel_id": "8571810"}, {"ref": "nayuts/iwildcam-2020-overviewing-for-start", "kernel_id": "8341189"}, {"ref": "nayuts/iwildcam-2020-efficientnetb2", "kernel_id": "8404396"}, {"ref": "sinchubhat/iwildcam2020usingmonk", "kernel_id": "8816457"}, {"ref": "krparekh24/iwild-2020-image-processing", "kernel_id": "8766315"}, {"ref": "taohoang/iwildcam-2020-efficientnetb7-tpu-starter-v1", "kernel_id": "9112402"}, {"ref": "gb00000/wildcam-nn", "kernel_id": "9515763"}, {"ref": "blueturtle/wildlife-cam-resent50", "kernel_id": "9591731"}, {"ref": "shivani1811/wildlife-image-classification", "kernel_id": "9929577"}, {"ref": "nihalusman/kernel76", "kernel_id": "10054360"}, {"ref": "aviral999/iwildcam-exploration", "kernel_id": "11834933"}, {"ref": "lennyom/iwildcam-2020-using-fastai-resnet50-mixup-and-tta", "kernel_id": "11206011"}, {"ref": "lennyom/output-aggregation", "kernel_id": "12061565"}, {"ref": "cptfoobar/eda-iwildcam-2020-exploration", "kernel_id": "14967406"}, {"ref": "syamalareddypadala/classification-animal-kaggle-vgg16-811d97", "kernel_id": "14930832"}, {"ref": "ttseng5897/iwildcam2020-revised2", "kernel_id": "18393462"}, {"ref": "allanyiinai/iwildcam2020-revised3", "kernel_id": "18520067"}, {"ref": "allanyiinai/iwildcam2020-revised2", "kernel_id": "18337602"}, {"ref": "myvnotseng/ch-iwildcam2020-revised2", "kernel_id": "18393528"}, {"ref": "allanyiin/iwildcam2020-revised3", "kernel_id": "22483708"}, {"ref": "allanyiin/iwildcam2020-revised2", "kernel_id": "22302772"}, {"ref": "allanyiin/iwildcam2020", "kernel_id": "22109066"}, {"ref": "allanyiin/iwildcam2020-revised1", "kernel_id": "22111835"}, {"ref": "paurushtiwari/iwildcam-2020-overviewing-for-start", "kernel_id": "22273230"}, {"ref": "bambadiop/cultura", "kernel_id": "28257332"}, {"ref": "graphlab/fastdup-kmeans", "kernel_id": "30544466"}, {"ref": "yassmenyoussef/image-preprocessing-techniques-for-iwildcam-2020", "kernel_id": "31638438"}, {"ref": "mastersniffer/iwildcam-2020-fgvc7", "kernel_id": "40724677"}, {"ref": "hakim571/uas-adtt-kelompok-11-part-1", "kernel_id": "59034668"}, {"ref": "hakim571/uas-adtt-kelompok-11-part-2", "kernel_id": "59162281"}, {"ref": "kunalchar/cv-project-classfication-model", "kernel_id": "80856585"}, {"ref": "krishasrathod/notebook55464924ab", "kernel_id": "123740183"}]}
{"competition_id": "18296", "kernels": []}
{"competition_id": "18297", "kernels": [{"ref": "sreerajin/bankxgboost-model", "kernel_id": "36294638"}]}
{"competition_id": "18301", "kernels": [{"ref": "daniil915/kernel24504cd949", "kernel_id": "7487496"}]}
{"competition_id": "18306", "kernels": []}
{"competition_id": "18308", "kernels": []}
{"competition_id": "18313", "kernels": []}
{"competition_id": "18323", "kernels": [{"ref": "tdiamantidis/dataloading", "kernel_id": "8119488"}]}
{"competition_id": "18325", "kernels": [{"ref": "stliang0127/sj-winequality", "kernel_id": "7761228"}]}
{"competition_id": "18326", "kernels": []}
{"competition_id": "18329", "kernels": [{"ref": "lopuhin/check-all-train-and-test-examples", "kernel_id": "7959482"}, {"ref": "inversion/abstraction-and-reasoning-starter-notebook", "kernel_id": "7818349"}, {"ref": "kambarakun/plot-all-tasks-arc2020", "kernel_id": "7972635"}, {"ref": "vojavocni/analysis-of-color-labels-in-the-dataset", "kernel_id": "7996198"}, {"ref": "shahules/understanding-the-problem", "kernel_id": "7965406"}, {"ref": "boliu0/visualizing-all-task-pairs-with-gridlines", "kernel_id": "7963127"}, {"ref": "pdx250697/abstraction-and-reasoning-starter-notebook", "kernel_id": "7959130"}, {"ref": "tarunpaparaju/arc-competition-eda-pytorch-cnn", "kernel_id": "7959703"}, {"ref": "bsridatta/simple-and-interactive-visualization-of-tasks", "kernel_id": "7981773"}, {"ref": "tayyabali55/explored-the-complete-abstraction-data-train-test", "kernel_id": "7966119"}, {"ref": "maxjeblick/play-arc-interactively", "kernel_id": "7959964"}, {"ref": "kostyaatarik/data-exploration", "kernel_id": "7959691"}, {"ref": "basu369victor/exploiting-tensorflow-lattice-to-solve-arc", "kernel_id": "7966041"}, {"ref": "yakuben/basic-cnn-approach", "kernel_id": "7988657"}, {"ref": "toma0916/manual-coding-for-the-20-29-tasks", "kernel_id": "7986437"}, {"ref": "nagiss/abstraction-and-reasoning-view-all-data", "kernel_id": "7958822"}, {"ref": "nagiss/manual-coding-for-the-first-10-tasks", "kernel_id": "7966890"}, {"ref": "nagiss/some-handmade-cnns", "kernel_id": "7977429"}, {"ref": "jazivxt/the-river", "kernel_id": "7993147"}, {"ref": "vaibhavsxn/abstraction-and-reasoning-view-all-data-forked", "kernel_id": "7967074"}, {"ref": "sergei416/introduction-and-eda", "kernel_id": "7970427"}, {"ref": "jt120lz/just-for-fun", "kernel_id": "7977914"}, {"ref": "t88take/check-the-purpose", "kernel_id": "7958821"}, {"ref": "rajibmondal/data-visualization-of-abstraction-and-reasoning", "kernel_id": "7966127"}, {"ref": "liferuiner/a-quick-way-to-explore-data-using-ipywidgets", "kernel_id": "7963211"}, {"ref": "arsenynerinovsky/cellular-automata-as-a-language-for-reasoning", "kernel_id": "7974837"}, {"ref": "ydhiman/input-any-json-name-view", "kernel_id": "8025470"}, {"ref": "captainflemme/kernel451f29dac4", "kernel_id": "8700915"}, {"ref": "guiemb/visualize-strategies", "kernel_id": "8702699"}, {"ref": "nanoix9/a-naive-image-manipulation-dsl", "kernel_id": "8469831"}, {"ref": "nanoix9/cellular-automaton-rules-playground-towards-a-dsl", "kernel_id": "8327323"}, {"ref": "super13579/arc-color-change-detect-by-in-output-with-cv", "kernel_id": "8041190"}, {"ref": "rama94/kerneledd520f697", "kernel_id": "8721906"}, {"ref": "paulorzp/15-tasks-crop-resize-repeat", "kernel_id": "8044047"}, {"ref": "paulorzp/28-tasks-tiles-and-symmetry", "kernel_id": "8095814"}, {"ref": "vivekray30/kernel44b19b9a44", "kernel_id": "8254611"}, {"ref": "safavieh/filler-starter-notebook", "kernel_id": "8001271"}, {"ref": "pwhids/kernel5011855b44", "kernel_id": "8620653"}, {"ref": "zenol42/dsl-and-genetic-algorithm-applied-to-arc", "kernel_id": "8107826"}, {"ref": "prokaj/task-browser", "kernel_id": "8909808"}, {"ref": "jagannathrk/arc-lgbm", "kernel_id": "8423267"}, {"ref": "jagannathrk/arc-pytorch-cnn", "kernel_id": "8234584"}, {"ref": "jagannathrk/abstraction-and-reasoning", "kernel_id": "8321312"}, {"ref": "matthewmasters/simple-color-mapping-program", "kernel_id": "8259069"}, {"ref": "matthewmasters/output-shape-prediction", "kernel_id": "8298077"}, {"ref": "sjappig/grid-cookbook", "kernel_id": "8765295"}, {"ref": "osciiart/arc-eda1", "kernel_id": "8195638"}, {"ref": "grapestone5321/abstraction-and-reasoning-sample-submission", "kernel_id": "8039189"}, {"ref": "xiaoyuez/arc-identify-objects", "kernel_id": "8086396"}, {"ref": "seriousran/variational-autoencoder-abstraction-and-reasoning", "kernel_id": "8452962"}, {"ref": "meaninglesslives/using-decision-trees-for-arc", "kernel_id": "8416825"}, {"ref": "meaninglesslives/reptile-and-transformers-a-meta-learning-attempt", "kernel_id": "8734570"}, {"ref": "meaninglesslives/stacking-models-and-new-features-for-arc", "kernel_id": "8451729"}, {"ref": "srg9000/arc-dataset-visualization-of-input-output-pairs", "kernel_id": "8927169"}, {"ref": "ashora/grid-search-with-xgboost-and-cv", "kernel_id": "8724273"}, {"ref": "kneroma/graph-community-extractor", "kernel_id": "8956182"}, {"ref": "hdsk38/implemented-the-arc-exploring-with-unet", "kernel_id": "8775797"}, {"ref": "hdsk38/matching-manual-coding-and-target-tasks", "kernel_id": "8814673"}, {"ref": "hocop1/ca-cnn-with-adaptive-computation-time", "kernel_id": "8225287"}, {"ref": "florianhuber/visualize-data-and-input-output-difference", "kernel_id": "8067053"}, {"ref": "mczenitar/visualize-train-test-datas-r", "kernel_id": "8073163"}, {"ref": "npitsillos/task-investigation-with-dfsa", "kernel_id": "8995736"}, {"ref": "watanabe2362/pytorchssd", "kernel_id": "8246184"}, {"ref": "wolfy73/reasonning-challenge", "kernel_id": "8136051"}, {"ref": "wolfy73/arc-smart-brutforce", "kernel_id": "8492888"}, {"ref": "wolfy73/auto-encoder", "kernel_id": "8669313"}, {"ref": "qcw171717/abstraction-and-reasoning-starter-plot-all", "kernel_id": "8810783"}, {"ref": "akashsuper2000/xgbclassifier-for-arc-challenge", "kernel_id": "8919557"}, {"ref": "akashsuper2000/stacking-models-and-new-features-for-arc", "kernel_id": "8919585"}, {"ref": "akashsuper2000/lgbmclassifier-for-arc-challenge", "kernel_id": "8921372"}, {"ref": "charel/how-the-brain-might-function", "kernel_id": "8859002"}, {"ref": "gmenua/a-celluar-automata-model-using-tensorflow", "kernel_id": "8992182"}, {"ref": "danielbecker/arcifier", "kernel_id": "8045673"}, {"ref": "nagiss/anything-is-allowed", "kernel_id": "8104644"}, {"ref": "alvaroma/bert-abstraction", "kernel_id": "8299841"}, {"ref": "mbooth4/exploration-trial", "kernel_id": "8330855"}, {"ref": "fernandeslouro/primus", "kernel_id": "8209868"}, {"ref": "chizuchizu/complement-utils", "kernel_id": "8085103"}, {"ref": "drobchak1988/training-cellular-automata-part-ii-learning-tasks", "kernel_id": "8629728"}, {"ref": "joatom/arc-exploring-with-unet", "kernel_id": "8286759"}, {"ref": "filipmulier/dsl-and-genetic-algorithm-test-submission", "kernel_id": "8265295"}, {"ref": "filipmulier/dsl-master", "kernel_id": "8545692"}, {"ref": "teddykoker/training-cellular-automata-part-i-game-of-life", "kernel_id": "8184389"}, {"ref": "teddykoker/training-cellular-automata-part-ii-learning-tasks", "kernel_id": "8193208"}, {"ref": "florianval/task-tagging-classification", "kernel_id": "8734249"}, {"ref": "aaafgcfg/wow-0-990", "kernel_id": "8457029"}, {"ref": "valeporti/abstraction-and-reasoning-callenge", "kernel_id": "8407633"}, {"ref": "anushakarthik1991/arc-competition-starter-notebook", "kernel_id": "8378025"}, {"ref": "mobinmirarab/abstraction-and-reasoning-challenge", "kernel_id": "8342625"}, {"ref": "davidbnn92/create-thousands-of-new-tasks-from-existing-ones", "kernel_id": "8285271"}, {"ref": "davidbnn92/task-tagging", "kernel_id": "8196149"}, {"ref": "lasendo/subtask-feature-extraction-and-pca-bokeh", "kernel_id": "8283645"}, {"ref": "misakrug/abstraction-and-reasoning-starter-notebook", "kernel_id": "8000291"}, {"ref": "tkscsk/checking-inputs-and-outputs-shape", "kernel_id": "8068419"}, {"ref": "tkscsk/predicting-output-shape-with-simple-rules", "kernel_id": "8210911"}, {"ref": "nikhiljohnk/nikjohn-arckaggle", "kernel_id": "8104048"}, {"ref": "chihantsai/simple-object-map", "kernel_id": "8989118"}, {"ref": "hirokinoowari/free-arc-data-augmentation-function-is-here", "kernel_id": "8273376"}, {"ref": "nxrprime/grid-search-with-xgboost-and-cv", "kernel_id": "8477603"}, {"ref": "arsenynerinovsky/utils-for-working-with-cellular-automata", "kernel_id": "8006391"}, {"ref": "idonotknowanything/svm-featuring-coord-colors", "kernel_id": "8819952"}, {"ref": "benjaminbittner/cognitive-pseudocode", "kernel_id": "8296059"}, {"ref": "adityaork/decision-tree-smart-data-augmentation", "kernel_id": "9266713"}, {"ref": "user189546/5-crop-tasks-by-brute-force", "kernel_id": "9878940"}, {"ref": "user189546/cellular-automata-learning-with-colorfreqencoder", "kernel_id": "9791061"}, {"ref": "yusufengintetik/3-dsl-2-public-5-tasks", "kernel_id": "9728184"}, {"ref": "jamesmcguigan/arc-oo-framework-xgboost-multimodel-solvers", "kernel_id": "9639129"}, {"ref": "jamesmcguigan/arc-geometry-solvers", "kernel_id": "9159997"}, {"ref": "tunguz/votingclassifier-100-300-300", "kernel_id": "9719153"}, {"ref": "bitthal/dsl-ensemble-0-96", "kernel_id": "9344610"}, {"ref": "jyesawtellrickson/reversible-tasks", "kernel_id": "9237224"}, {"ref": "yueqiw/pretraining-knowledge-priors-with-transformers", "kernel_id": "9772270"}, {"ref": "ilialar/3rd-place-end-to-end-solution", "kernel_id": "9800433"}, {"ref": "ilialar/5-tasks-part-of-3rd-place-solution", "kernel_id": "9750304"}, {"ref": "jwelliav/arc-list-method", "kernel_id": "9230923"}, {"ref": "andypenrose/visualize-extra-arc-tasks-for-testing", "kernel_id": "9114817"}, {"ref": "andypenrose/macro-dsl-for-arc-with-heuristic-search", "kernel_id": "9719996"}, {"ref": "thissentenseisfalse/my-arc-approach", "kernel_id": "9275906"}, {"ref": "golubev/arc-8solved-3grid-5tiles-no-ml", "kernel_id": "9755548"}, {"ref": "golubev/7-solved-tasks-via-trees", "kernel_id": "9744619"}, {"ref": "ashora/ensemble-simple-decision-tree", "kernel_id": "9169975"}, {"ref": "mandubian/arc-and-graph-neural-networks", "kernel_id": "9669485"}, {"ref": "branislav1991/efficient-cnn", "kernel_id": "9582324"}, {"ref": "allvor/my-simplest-0-990-grid-downsample", "kernel_id": "9749875"}, {"ref": "borisov/symmetry-pattern", "kernel_id": "9566704"}, {"ref": "msypetkowski/8-tasks-with-decision-trees-from-8-th-solution", "kernel_id": "9784970"}, {"ref": "muhakabartay/soup-ensemble-of-5-approachs-c-included", "kernel_id": "9743308"}, {"ref": "vbmokin/outliers-analysis-lb-0-98", "kernel_id": "9666173"}, {"ref": "phunghieu/yukikubo123-s-dsl-with-alignment", "kernel_id": "9793122"}, {"ref": "roydatascience/ensemble-3-0", "kernel_id": "9215382"}, {"ref": "backaggle/ensemble-from-public-kernels", "kernel_id": "9096128"}, {"ref": "petersorensen360/find-rectangles-with-or-without-touch", "kernel_id": "9300113"}, {"ref": "petersorensen360/framing-objects-and-finding-frames", "kernel_id": "9323089"}, {"ref": "isikkuntay/dsl-framework", "kernel_id": "9315964"}, {"ref": "isikkuntay/strange-loss-function", "kernel_id": "9252362"}, {"ref": "isikkuntay/using-image-difference-as-second-target", "kernel_id": "9160014"}, {"ref": "akashsuper2000/ensemble-from-public-kernels", "kernel_id": "9107409"}, {"ref": "akashsuper2000/decision-tree-smart-data-augmentation", "kernel_id": "9395709"}, {"ref": "akashsuper2000/fork-of-decision-tree-smart-data-augmentation", "kernel_id": "9729673"}, {"ref": "ademiquel/data-preprocessing-correcting-tasks-with-errors", "kernel_id": "9056556"}, {"ref": "zaharch/visualizing-all-tasks-updated", "kernel_id": "9032137"}, {"ref": "zaharch/arc-c-approach", "kernel_id": "9042669"}, {"ref": "mercury01/etwas-f-r-acr", "kernel_id": "9222868"}, {"ref": "elvenmonk/visualizing-tasks-size-color-eda-solutions", "kernel_id": "9381828"}, {"ref": "elvenmonk/watch-draw-compare-evolve", "kernel_id": "9680449"}, {"ref": "jpbremer/very-simple-dsl-solving-up-to-6-tasks", "kernel_id": "9743969"}, {"ref": "alexfritz/genetic-dsl-part-from-10th-place-python-version", "kernel_id": "9751578"}, {"ref": "flaar94/kernel50619fbf30", "kernel_id": "9717835"}, {"ref": "guyar1/visualizing-all-test-task-pairs-with-gridlines", "kernel_id": "9358092"}, {"ref": "guyar1/plotting-arc-dsl-model-10-test-set-correct", "kernel_id": "9740339"}, {"ref": "deepankarchakraborty/decision-tree-custom-logic", "kernel_id": "9412203"}, {"ref": "dipamc77/arc-simple-dsl-and-search", "kernel_id": "9307542"}, {"ref": "mattgwwalker/checking-grid-sizes-in-arc", "kernel_id": "9236931"}, {"ref": "mattgwwalker/getting-started-with-the-arc", "kernel_id": "9220801"}, {"ref": "morizin/ensamble-of-kernel", "kernel_id": "9164048"}, {"ref": "giangpt/memory-approach-to-arc", "kernel_id": "9466862"}, {"ref": "giangpt/arc-complete-beginner-guide-part-2", "kernel_id": "9370418"}, {"ref": "giangpt/arc-complete-beginner-guide-part-1", "kernel_id": "9202032"}, {"ref": "hectorbonilla/cellular-automata-as-a-language-for-reasoning", "kernel_id": "9630863"}, {"ref": "mehrankazeminia/binary-images-and-data-augmentation", "kernel_id": "9371826"}, {"ref": "daviddamario/evolving-cellular-automata-to-solve-arc-tasks", "kernel_id": "9350694"}, {"ref": "hoangnguyenx/thu-t-to-n-m-u-v-m-d-a-tr-n-c-ch-chia-l-y-d", "kernel_id": "9886642"}, {"ref": "smurfysannes/matrix-dimensions-calculator-86-accuracy", "kernel_id": "9267292"}, {"ref": "smurfysannes/identify-match-compare-objects-extract-rules", "kernel_id": "9444154"}, {"ref": "danminkim/solving-0a938d79", "kernel_id": "9328480"}, {"ref": "aidetective/calling-c-functions-and-also-cython", "kernel_id": "9697520"}, {"ref": "icecuber/arc-1st-place-solution", "kernel_id": "10001103"}, {"ref": "tatdatnguyen21/cellular-automata-with-cnn", "kernel_id": "10027172"}, {"ref": "ashrafkhan94/solving-abstract-reasoning-problems", "kernel_id": "12861701"}, {"ref": "marcomio/presentazione", "kernel_id": "13284474"}, {"ref": "philipkd/arc-late-submission-1st-and-3rd-place-ensemble", "kernel_id": "16404106"}, {"ref": "logicmoo/notebook09811ee48d", "kernel_id": "24173600"}, {"ref": "vicviod/arc-late-submission-1st-2nd-3rd-place", "kernel_id": "33597989"}, {"ref": "hansuelijud/template-arc2020-5-crop-tasks-by-brute-force", "kernel_id": "34099546"}, {"ref": "michaelhodel/arc-ensemble", "kernel_id": "34024878"}, {"ref": "mehrankazeminia/arc2023-end-to-end-v7", "kernel_id": "37226216"}, {"ref": "tyshgrand/ml-project", "kernel_id": "37865699"}, {"ref": "yanmachx/arc-solver-with-llm", "kernel_id": "50395837"}, {"ref": "varnez/task-data-exploration", "kernel_id": "53651584"}, {"ref": "triblex/dsl-and-genetic-algorithm-applied-to-arc", "kernel_id": "54693618"}, {"ref": "jcole75/mindsai-nlp-arc", "kernel_id": "56280102"}, {"ref": "varnez/u-net-gaarc-base-autoencoder", "kernel_id": "58646634"}, {"ref": "varnez/task-learning-with-u-net-gaarc-base-autoencoder", "kernel_id": "65568385"}, {"ref": "arul60/arc-pytorch-cnn", "kernel_id": "71194208"}, {"ref": "arul60/resnetpatternrecog", "kernel_id": "71197821"}]}
{"competition_id": "18333", "kernels": []}
{"competition_id": "18339", "kernels": [{"ref": "zeus75/earthquake-prediction-initial-eda", "kernel_id": "38538399"}, {"ref": "zeus75/earthquake-prediction-1-year", "kernel_id": "40111809"}, {"ref": "tanvirsadik/earthquake-prediction-1-year", "kernel_id": "40983687"}]}
{"competition_id": "18355", "kernels": []}
{"competition_id": "18367", "kernels": []}
{"competition_id": "18369", "kernels": []}
{"competition_id": "18379", "kernels": []}
{"competition_id": "18396", "kernels": [{"ref": "fatemehasadi/notebook49d2897493", "kernel_id": "13989247"}]}
{"competition_id": "18401", "kernels": []}
{"competition_id": "18418", "kernels": []}
{"competition_id": "18423", "kernels": []}
{"competition_id": "18429", "kernels": []}
{"competition_id": "18431", "kernels": []}
{"competition_id": "18438", "kernels": [{"ref": "cobleg/naive-forecast-r", "kernel_id": "8171436"}, {"ref": "cobleg/swis-comp-r", "kernel_id": "8141236"}]}
{"competition_id": "18439", "kernels": []}
{"competition_id": "18441", "kernels": [{"ref": "ericpicot/predictive-maintenance-quick-start", "kernel_id": "7616611"}, {"ref": "yusuketochigi/maintenance-prediction-for-nasa-turbofan-rul", "kernel_id": "14815811"}]}
{"competition_id": "18455", "kernels": [{"ref": "liyi0123/kernel1381704018", "kernel_id": "9839211"}, {"ref": "caproner/ml2020-mission01", "kernel_id": "10790479"}, {"ref": "corrineee/hw1-corrine", "kernel_id": "10877859"}, {"ref": "jeewell/notebook8427c0bd10", "kernel_id": "12365606"}, {"ref": "free1ze/ml-hw1", "kernel_id": "15366419"}, {"ref": "laugoon/homework1", "kernel_id": "16145721"}]}
{"competition_id": "18458", "kernels": [{"ref": "junyussh/ml2020-hw2", "kernel_id": "12676882"}, {"ref": "free1ze/ml-hw2", "kernel_id": "15377222"}, {"ref": "pinkpinkpig/2201803787-lin-yicheng", "kernel_id": "15905294"}, {"ref": "laugoon/homework2", "kernel_id": "17079424"}]}
{"competition_id": "18459", "kernels": [{"ref": "wtnan2003/ml-hw3-food-image-classify", "kernel_id": "9835777"}, {"ref": "laugoon/hw3-food-image-classify", "kernel_id": "18135685"}, {"ref": "yinlichen/use-res-net-to-make-it-cometrue", "kernel_id": "30006968"}, {"ref": "liball/mcas-hw05", "kernel_id": "53516083"}, {"ref": "wulilin/use-res-net-to-make-it-cometrue", "kernel_id": "102325397"}]}
{"competition_id": "18461", "kernels": [{"ref": "laugoon/hw4-emotion-classification", "kernel_id": "19260050"}, {"ref": "laugoon/bow-cnn", "kernel_id": "20409704"}]}
{"competition_id": "18465", "kernels": [{"ref": "wilderjoseth/classification-sentiment-analysis", "kernel_id": "12581301"}]}
{"competition_id": "18473", "kernels": []}
{"competition_id": "18475", "kernels": [{"ref": "alina911/avito-ads-classification", "kernel_id": "62095775"}]}
{"competition_id": "18476", "kernels": []}
{"competition_id": "18482", "kernels": [{"ref": "oakytree/kernel3f28395e69", "kernel_id": "7663167"}]}
{"competition_id": "18483", "kernels": [{"ref": "olacharles/predicting-if-customer-will-buy-a-scooter-or-not", "kernel_id": "7766440"}]}
{"competition_id": "18484", "kernels": []}
{"competition_id": "18486", "kernels": []}
{"competition_id": "18493", "kernels": []}
{"competition_id": "18497", "kernels": [{"ref": "ucfaibot/core-sp20-linear-regression", "kernel_id": "7663182"}]}
{"competition_id": "18499", "kernels": []}
{"competition_id": "18505", "kernels": [{"ref": "dmmscourse/smallmatrix-nmds-baseline", "kernel_id": "8273059"}, {"ref": "dmmscourse/smallmatrix-dataio", "kernel_id": "8272398"}]}
{"competition_id": "18506", "kernels": []}
{"competition_id": "18511", "kernels": []}
{"competition_id": "18524", "kernels": []}
{"competition_id": "18525", "kernels": []}
{"competition_id": "18532", "kernels": []}
{"competition_id": "18533", "kernels": []}
{"competition_id": "18550", "kernels": [{"ref": "gorgue/limpieza-de-datos-en-python", "kernel_id": "7972322"}]}
{"competition_id": "18567", "kernels": [{"ref": "ucfaibot/core-sp20-rf-svm", "kernel_id": "7741363"}]}
{"competition_id": "18568", "kernels": []}
{"competition_id": "18576", "kernels": []}
{"competition_id": "18588", "kernels": [{"ref": "seraphwedd18/comp-int-practice-code", "kernel_id": "7752323"}]}
{"competition_id": "18599", "kernels": [{"ref": "jpmiller/grouping-items-by-stockout-pattern", "kernel_id": "44700"}, {"ref": "pavansanagapati/pandas-bokeh-visualization-tutorial", "kernel_id": "1048693"}, {"ref": "jpmiller/skmem", "kernel_id": "6074949"}, {"ref": "kkondo/a-simple-dashboard-for-m5-forecast-competition", "kernel_id": "8765596"}, {"ref": "kailex/m5-forecaster-v2", "kernel_id": "8680936"}, {"ref": "kailex/m5-forecaster-0-57330", "kernel_id": "8414563"}, {"ref": "shawncicoria/m5-forecaster-0-57330", "kernel_id": "8911577"}, {"ref": "robertburbidge/statistical-benchmarks-wrmsse-stochastic-ensemble", "kernel_id": "8484814"}, {"ref": "robertburbidge/ensemble-starter-stochastic", "kernel_id": "8535851"}, {"ref": "robertburbidge/lightgbm-gamma", "kernel_id": "8537453"}, {"ref": "danofer/m5-sales-baseline-eda", "kernel_id": "8230629"}, {"ref": "danofer/basic-model-melt", "kernel_id": "8248216"}, {"ref": "danofer/prophet-ts-starter-multiprocessing", "kernel_id": "8993222"}, {"ref": "frankcorrigan/m5-fast", "kernel_id": "8652944"}, {"ref": "sh1ngg/arboretum-baseline", "kernel_id": "8526808"}, {"ref": "yassinealouini/seq2seq", "kernel_id": "8930196"}, {"ref": "yassinealouini/trends-per-store", "kernel_id": "8908414"}, {"ref": "donghunkim/eda-profiling", "kernel_id": "8578311"}, {"ref": "gandalf1292/walmartforkedveryfstmodel", "kernel_id": "8881942"}, {"ref": "danijelsubotic/dnn-with-categorical-embeddings-day-to-day", "kernel_id": "8739689"}, {"ref": "lebroschar/aggregate-forecast-eda", "kernel_id": "8288930"}, {"ref": "skylord/lgb-model-feature-importance", "kernel_id": "8905401"}, {"ref": "tomfromwales/2020q1-m5-eda", "kernel_id": "8386599"}, {"ref": "rdizzl3/eda-and-baseline-model", "kernel_id": "8225923"}, {"ref": "chriscc/reduce-memory", "kernel_id": "8995799"}, {"ref": "gauravjain/kernel3b35d60272", "kernel_id": "8752065"}, {"ref": "tnmasui/m5-forecasting-lstm-w-custom-data-generator", "kernel_id": "8300626"}, {"ref": "tnmasui/m5-wrmsse-evaluation-dashboard", "kernel_id": "8488019"}, {"ref": "armenabnousi/signficance-testing-of-events-on-sales", "kernel_id": "8243632"}, {"ref": "aerdem4/m5-lofo-importance-on-gpu-via-rapids-xgboost", "kernel_id": "8280158"}, {"ref": "alfonsocarta/m5-statistical-benchmarks-with-python-classes", "kernel_id": "8511938"}, {"ref": "hiteshsom/m5-accuracy-feature-engg-lightgbm", "kernel_id": "8379698"}, {"ref": "samiranand14/m5-forecasting-accuracy", "kernel_id": "8711917"}, {"ref": "fredcaram/m5-under-0-50-optimized", "kernel_id": "8960517"}, {"ref": "georsara1/fbprophet-try1", "kernel_id": "8263651"}, {"ref": "georsara1/fbprophet-try2-python-multiprocessing", "kernel_id": "8320614"}, {"ref": "belov38/round", "kernel_id": "8817378"}, {"ref": "saxinou/m5-forecasting-eda", "kernel_id": "8972653"}, {"ref": "robikscube/m5-forecasting-starter-data-exploration", "kernel_id": "8226214"}, {"ref": "abirpattnaik/forecasting-eda", "kernel_id": "8255800"}, {"ref": "nonserial/m5-accuracy-mlr3learners-lightgbm-r-package", "kernel_id": "8432375"}, {"ref": "sampath1310/m5-eda-interactive", "kernel_id": "8302539"}, {"ref": "sujoyde/m5-exploration", "kernel_id": "8403545"}, {"ref": "chameleontk/rmse-and-wrmsse-of-a-submission", "kernel_id": "8909224"}, {"ref": "sidharthkumar/ma-model-new-baseline-0-86331", "kernel_id": "8229825"}, {"ref": "sidharthkumar/ema-model-new-baseline", "kernel_id": "8232736"}, {"ref": "sourabhdattawad/getting-started-basics-of-time-series-forecasting", "kernel_id": "8397029"}, {"ref": "artgor/it-is-time-for-m5-going-step-by-step", "kernel_id": "8228465"}, {"ref": "xiaojiu1414/lightbgm-master-data-fold-index-nodrop", "kernel_id": "8336221"}, {"ref": "mayer79/m5-forecast-dept-by-dept-and-step-by-step", "kernel_id": "8975787"}, {"ref": "mayer79/m5-forecast-keras-embeddings-with-r", "kernel_id": "8390974"}, {"ref": "mayer79/m5-forecast-attack-of-the-data-table", "kernel_id": "8366749"}, {"ref": "mayer79/m5-forecast-keras-with-categorical-embeddings-v2", "kernel_id": "8285722"}, {"ref": "mayer79/m5-forecast-tidy-r-catboost", "kernel_id": "8654698"}, {"ref": "mayer79/m5-forecast-poisson-loss-top-10", "kernel_id": "8736803"}, {"ref": "vgarshin/m5-catboost", "kernel_id": "8903899"}, {"ref": "nicapotato/kiss-simple-heuristics-only", "kernel_id": "8252094"}, {"ref": "hotvar/jbrain-m5", "kernel_id": "8681015"}, {"ref": "graymant/baseline-lstm-example", "kernel_id": "8233866"}, {"ref": "graymant/baseline-score-using-last-28-days", "kernel_id": "8266469"}, {"ref": "mfjwr1/for-japanese-beginner-with-wrmsse-in-lgbm", "kernel_id": "8605412"}, {"ref": "anuraglahon/m5-forcasting-accuracy-first-look", "kernel_id": "8242751"}, {"ref": "headsortails/back-to-predict-the-future-interactive-m5-eda", "kernel_id": "8225983"}, {"ref": "janzenliu/fork-how-important-are-the-holidays", "kernel_id": "8433432"}, {"ref": "hugokce/m5-forecasting-accuracy-eda-work", "kernel_id": "8245070"}, {"ref": "lilsummer877/visualize-the-effect-of-events-and-festivities", "kernel_id": "8471136"}, {"ref": "grapestone5321/m5-forecasting-accuracy-sample-submission", "kernel_id": "8288619"}, {"ref": "leonzz/m5-forecasting-arima", "kernel_id": "8514403"}, {"ref": "alafan/walmart", "kernel_id": "8274886"}, {"ref": "azmatsiddique/basic-m5-data-science", "kernel_id": "8577311"}, {"ref": "shinogi/time-series-visualize", "kernel_id": "8548032"}, {"ref": "shinogi/product-gt", "kernel_id": "8643819"}, {"ref": "jestelrod/m5-eda-plotly-lstm-neural-network-vs-xgboost", "kernel_id": "8663479"}, {"ref": "bodhiroot/baseline-univariate-ses-forecast", "kernel_id": "8274716"}, {"ref": "kamalnaithani/m5-eda-and-forecasting-model", "kernel_id": "8431166"}, {"ref": "ar2017/m5-forecasting-lightgbm", "kernel_id": "8919595"}, {"ref": "ragnar123/asymmetric-loss-functions-lgbm", "kernel_id": "8737832"}, {"ref": "ragnar123/very-fst-model", "kernel_id": "8226022"}, {"ref": "ragnar123/simple-lgbm-groupkfold-cv", "kernel_id": "8832242"}, {"ref": "latimerb/m5-persistence-moving-average-forecasts", "kernel_id": "8271936"}, {"ref": "alidoku/clustering-sales-data-and-simple-eda", "kernel_id": "8540824"}, {"ref": "tarunpaparaju/m5-competition-eda-models", "kernel_id": "8232430"}, {"ref": "tomkelly0/price-and-demand", "kernel_id": "8232833"}, {"ref": "zdenek22/lgbm-new", "kernel_id": "8597696"}, {"ref": "sibmike/m5-out-of-stock-feature-640x-faster", "kernel_id": "8693447"}, {"ref": "sibmike/m5-out-of-stock-feature", "kernel_id": "8659247"}, {"ref": "sibmike/m5-longest-run-of-heads-for-out-of-stock-detection", "kernel_id": "8823408"}, {"ref": "harupy/m5-forecast-python", "kernel_id": "8627087"}, {"ref": "harupy/automatic-logging-of-lightgbm-training-with-mlflow", "kernel_id": "8492349"}, {"ref": "harupy/m5-pytorch-embeddings", "kernel_id": "8528264"}, {"ref": "harupy/how-to-use-kaggle-api-as-a-python-library", "kernel_id": "8536401"}, {"ref": "harupy/m5-baseline", "kernel_id": "8303068"}, {"ref": "harupy/simple-baseline-using-average-over-past-years", "kernel_id": "8426841"}, {"ref": "harupy/predict-day-by-day", "kernel_id": "8909595"}, {"ref": "xz25911/m5-competition", "kernel_id": "8252589"}, {"ref": "zollkron/same-day-means-no-statistical-model", "kernel_id": "8266685"}, {"ref": "izotov/fnu050", "kernel_id": "8807222"}, {"ref": "izotov/m5-under-0-50-optimized", "kernel_id": "8941412"}, {"ref": "kneroma/m5-forecast-v2-python", "kernel_id": "8743800"}, {"ref": "kneroma/m5-first-public-notebook-under-0-50", "kernel_id": "8780873"}, {"ref": "philwebb59/how-important-are-snap-days", "kernel_id": "8411075"}, {"ref": "philwebb59/how-important-are-the-holidays", "kernel_id": "8418601"}, {"ref": "philwebb59/how-important-are-weekends", "kernel_id": "8374128"}, {"ref": "damienpark/question-for-m5-eda", "kernel_id": "8346917"}, {"ref": "damienpark/m5-data-preprocessing-foods", "kernel_id": "8881094"}, {"ref": "blazejd/eda-time-series-insights-m5-forecasting", "kernel_id": "8997876"}, {"ref": "zachary3141/m5-beginner-eda-cnn", "kernel_id": "8290699"}, {"ref": "zachary3141/cnn-sma", "kernel_id": "8493376"}, {"ref": "sergioli212/m5-all-feature-engineering-ready-to-use", "kernel_id": "8760164"}, {"ref": "keitarokonishi/understand-m5-python", "kernel_id": "8665766"}, {"ref": "keitarokonishi/understand-m5-r", "kernel_id": "8616210"}, {"ref": "ratan123/m5-forecasting-lightgbm-with-timeseries-splits", "kernel_id": "8243436"}, {"ref": "alexfocus/prophet-forecasting-accuracy", "kernel_id": "8257020"}, {"ref": "kuldeepdhadhwal/walmart-sales-eda", "kernel_id": "8894673"}, {"ref": "chocozzz/the-m5-competition-guidelines", "kernel_id": "8226778"}, {"ref": "resistance0108/digging-in-correlation-between-sales-of-items", "kernel_id": "8336193"}, {"ref": "nklinzhiming/m5-forecast-v2-python", "kernel_id": "8785368"}, {"ref": "antaressgzz/linear", "kernel_id": "8980532"}, {"ref": "azat942wer/data-exploration-memory-optimization", "kernel_id": "8757074"}, {"ref": "khoongweihao/m5-forecasting-eda-gaussian-kde-baseline-model", "kernel_id": "8230756"}, {"ref": "radstallion/sequential-prep-visualization-de-trend", "kernel_id": "8343990"}, {"ref": "riow1983/m5-forecast-poisson-loss", "kernel_id": "8854746"}, {"ref": "chewzy/a-quick-look-at-the-data", "kernel_id": "8225981"}, {"ref": "lakshyarawal/eda-for-accuracy-m5", "kernel_id": "8302339"}, {"ref": "omershect/m5-competiotn-data-exploratory", "kernel_id": "8705775"}, {"ref": "poedator/m5-under-0-50-optimized", "kernel_id": "8892312"}, {"ref": "tenajima/evaluation-of-sample-submission-don-t-effect-lb", "kernel_id": "8232893"}, {"ref": "victorhz/a-ramdom-submission", "kernel_id": "8225995"}, {"ref": "kuroko1t/simple-lstm", "kernel_id": "8226966"}, {"ref": "servietsky/m5-magic-blending", "kernel_id": "8739643"}, {"ref": "kaushal2896/m5-preparing-training-ready-data-lightgbm", "kernel_id": "8238776"}, {"ref": "kfkabdg/edaaa", "kernel_id": "8442367"}, {"ref": "girmdshinsei/for-beginner-r-lightgbm-japanese", "kernel_id": "8455652"}, {"ref": "girmdshinsei/for-japanese-beginner-with-wrmsse-in-lgbm", "kernel_id": "8436261"}, {"ref": "ykitaaa/m5-forecasting-starter-data-exploration", "kernel_id": "8504101"}, {"ref": "beezus666/end-to-end-data-wrangling-simple-random-forest", "kernel_id": "8226879"}, {"ref": "kei96kag/m5-forecasting-eda-data-understading-by-r", "kernel_id": "8288362"}, {"ref": "qcw171717/top-down-distribution-method", "kernel_id": "8586574"}, {"ref": "qcw171717/naive-baseline", "kernel_id": "8343592"}, {"ref": "qcw171717/other-naive-forecasts-submission-score", "kernel_id": "8435286"}, {"ref": "qcw171717/fork-of-multi-labelled-extratreesregressor", "kernel_id": "8786916"}, {"ref": "qcw171717/time-series-transformation", "kernel_id": "8994955"}, {"ref": "akashsuper2000/m5-baseline", "kernel_id": "8472382"}, {"ref": "akashsuper2000/m5-forecast-keras-with-categorical-embeddings-v2", "kernel_id": "8472093"}, {"ref": "akashsuper2000/m5-forecast-v2-python", "kernel_id": "8800016"}, {"ref": "akashsuper2000/m5-forecast-accuracy", "kernel_id": "8837820"}, {"ref": "jcolless/m5-rnn-wavenet-n-beats-approach", "kernel_id": "8929449"}, {"ref": "gopidurgaprasad/m5-forecasting-eda-lstm-pytorch-modeling", "kernel_id": "8697402"}, {"ref": "gopidurgaprasad/m5-encoder-decoder-pytorch", "kernel_id": "8997891"}, {"ref": "rohandeysarkar/m5-forecasting-eda", "kernel_id": "8249263"}, {"ref": "ukveteran/prophet-jma-m5-forecasting-practice", "kernel_id": "8372102"}, {"ref": "takahiro1127/starter-data-exploration-lstm", "kernel_id": "8262512"}, {"ref": "whyjust/eda-for-m5-with-details", "kernel_id": "8681399"}, {"ref": "li325040229/eda-and-an-encoder-decoder-lstm-with-9-features", "kernel_id": "8228608"}, {"ref": "ssatagop/basic-eda", "kernel_id": "8325101"}, {"ref": "tahirmuslimscientist/simple-etl-walmert-forcasting", "kernel_id": "8228393"}, {"ref": "dhananjay3/wrmsse-evaluator-with-extra-features", "kernel_id": "8436471"}, {"ref": "timetraveller98/m5-snap-categorical-feature-analysis", "kernel_id": "8386596"}, {"ref": "sebastiancarino/m5-forecasting-accuracy-r", "kernel_id": "8525598"}, {"ref": "renehiroki/walmart-sihga", "kernel_id": "8669563"}, {"ref": "hatkanchana/task-visualization", "kernel_id": "8814999"}, {"ref": "holoong9291/eda-for-m5-en", "kernel_id": "8230015"}, {"ref": "holoong9291/simple-baseline-with-prophet-0-87287-en", "kernel_id": "8228498"}, {"ref": "deffro/learn-time-series-analysis-with-m5", "kernel_id": "8803142"}, {"ref": "akihirokkkkk/seq2seq", "kernel_id": "8630273"}, {"ref": "iicyan/japanese-m5-forecasting-item-id", "kernel_id": "8559400"}, {"ref": "iicyan/japanese-m5-forecasting", "kernel_id": "8542500"}, {"ref": "iicyan/japanese-m5-sales-amount", "kernel_id": "8537330"}, {"ref": "iicyan/japanese-m5-forecasting-sell-price-csv", "kernel_id": "8569386"}, {"ref": "adelizer/m5-forecasting-eda", "kernel_id": "8991939"}, {"ref": "kyakovlev/m5-three-shades-of-dark-darker-magic", "kernel_id": "8967396"}, {"ref": "kyakovlev/m5-custom-features", "kernel_id": "8893369"}, {"ref": "kyakovlev/m5-lags-features", "kernel_id": "8634990"}, {"ref": "kyakovlev/m5-dark-magic", "kernel_id": "8640594"}, {"ref": "kyakovlev/m5-simple-fe", "kernel_id": "8596568"}, {"ref": "kthexaroulis/question-regarding-memory", "kernel_id": "8735429"}, {"ref": "aniketkatyal/m5-deep-dive-into-the-data", "kernel_id": "8293688"}, {"ref": "chariots17/ensemble-starter", "kernel_id": "8316990"}, {"ref": "chizuchizu/the-idea-that-halves-running-time-faster-code", "kernel_id": "8453050"}, {"ref": "chizuchizu/we-don-t-need-to-use-transform", "kernel_id": "8556134"}, {"ref": "chizuchizu/wanna-make-fast-running-code", "kernel_id": "8438715"}, {"ref": "lkatran/first-step-eda-and-baseline", "kernel_id": "8554995"}, {"ref": "siavrez/simple-eda-with-croston-method", "kernel_id": "8242278"}, {"ref": "cuge1995/eda-and-lstm-model", "kernel_id": "8229721"}, {"ref": "tpmeli/visual-guide-3-m5-baselines-eda-sarima", "kernel_id": "8254683"}, {"ref": "tpmeli/simple-pandas-profiling-eda-for-starting-out", "kernel_id": "8228146"}, {"ref": "anirbansen3027/m5-forecasting-exhaustive-eda-beginner", "kernel_id": "8505736"}, {"ref": "attol8/m5-eda-quarantined-edition", "kernel_id": "8934093"}, {"ref": "amtrema041996/m5-forecasting-eda", "kernel_id": "8848258"}, {"ref": "amtrema041996/m5-forecasting-cda", "kernel_id": "8895418"}, {"ref": "sumitai/m5-eda-using-pandas-profiling", "kernel_id": "8606519"}, {"ref": "steverab/m5-forecasting-competition-gluonts-template", "kernel_id": "8342969"}, {"ref": "ajax0564/keras-with-embeddings", "kernel_id": "8302589"}, {"ref": "rodrigolima82/time-series-analysis-es-sarimax-xgb-lgbm", "kernel_id": "8541962"}, {"ref": "lukegray515/m5-extensive-data-exploration", "kernel_id": "8326428"}, {"ref": "lukegray515/quantitative-and-technical-analysis-metrics", "kernel_id": "8980907"}, {"ref": "cindyway/exploratory-data-analysis", "kernel_id": "8453967"}, {"ref": "klose1996/mmmmm5", "kernel_id": "8345927"}, {"ref": "anyexiezouqu/eda-chinese", "kernel_id": "8329533"}, {"ref": "anyexiezouqu/magic-ensemble-top-kernels", "kernel_id": "8959491"}, {"ref": "chrisrichardmiles/simple-model-avg-last-28-days-grouped-by-weekday", "kernel_id": "8471498"}, {"ref": "chrisrichardmiles/m5-backtest-workflow-made-easy", "kernel_id": "8511835"}, {"ref": "chrisrichardmiles/numpy-pandas-challenge-current-leader-0-67402", "kernel_id": "8488722"}, {"ref": "chrisrichardmiles/effective-length-of-each-time-series", "kernel_id": "8789628"}, {"ref": "chrisrichardmiles/weights-and-scales-for-the-past-2-years", "kernel_id": "8916900"}, {"ref": "chrisrichardmiles/test-of-weights-and-custom-objective-function", "kernel_id": "8981887"}, {"ref": "eligeti/m5-plots", "kernel_id": "8916370"}, {"ref": "eligeti/quick-look-and-baseline-model-moving-average", "kernel_id": "8674743"}, {"ref": "l0new0lf/m5-competition-eda-models", "kernel_id": "8326666"}, {"ref": "drcapa/m5-forecasting-accuracy", "kernel_id": "8237925"}, {"ref": "andreinovikov90/m5-walmart", "kernel_id": "8705893"}, {"ref": "thduik/eda-and-lol-the-lol", "kernel_id": "8250854"}, {"ref": "aykhanpy/m5-analysis", "kernel_id": "8408366"}, {"ref": "kongnyooong/the-m5-competition-baseline-for-korean", "kernel_id": "8230199"}, {"ref": "ranand60/kernel-m5-forecasting-data-exploration", "kernel_id": "8872866"}, {"ref": "anushakarthik1991/m5-competition-eda-models-0-867", "kernel_id": "8314028"}, {"ref": "eswarchandt/timeseries-forecasting-accuracy", "kernel_id": "8648788"}, {"ref": "kmatsuyama/m5-forecasting-a-starter-model-by-simple-nn", "kernel_id": "8249814"}, {"ref": "mobinmirarab/m5-forecasting-accuracy", "kernel_id": "8342805"}, {"ref": "ryuichiyanagisawa/m5-forecasting-very-simple-eda", "kernel_id": "8299163"}, {"ref": "yasagure/don-t-need-rem-memory-again", "kernel_id": "8521603"}, {"ref": "aditya48/m5-forecasting-accuracy", "kernel_id": "8378120"}, {"ref": "williamhuybui/holiday-s-visualization", "kernel_id": "8314555"}, {"ref": "deepakdeepu8978/m5-competition-explore-eda-models", "kernel_id": "8264258"}, {"ref": "thomasadorfer/m5-preliminary-eda", "kernel_id": "8496356"}, {"ref": "richamishra01/beginner-s-eda-on-walmart-m5-forecasting", "kernel_id": "8367965"}, {"ref": "zmnako/lgbm-update-0-85632", "kernel_id": "8239031"}, {"ref": "debojit23/m5-base-modelling", "kernel_id": "8509853"}, {"ref": "njain920/preliminary-eda", "kernel_id": "8988103"}, {"ref": "tiagowutzke/competition-m5", "kernel_id": "8728024"}, {"ref": "davidistrati/m5-forecasting-data-analysis", "kernel_id": "8796722"}, {"ref": "davidistrati/evaluation-of-nn-models", "kernel_id": "8804057"}, {"ref": "davidistrati/enriched-data-m5", "kernel_id": "8818195"}, {"ref": "brunoborges95/m5-time-series-forecasting-using-mapa-sarimax", "kernel_id": "8323664"}, {"ref": "koralturkk/m5-comptetition", "kernel_id": "8584361"}, {"ref": "ranjithks/ran-m5-forecasting-accuracy-28d-baseline-model", "kernel_id": "8228740"}, {"ref": "rohitsingh9990/m5-forecasting-eda-feature-engineering", "kernel_id": "8515195"}, {"ref": "rohitsingh9990/m5-lgbm-fe", "kernel_id": "8547625"}, {"ref": "nuka137/relation-between-sales-and-evnet-snap", "kernel_id": "8569283"}, {"ref": "saikiran9595/eda-of-m5-forecasting-basic-analysis", "kernel_id": "8248286"}, {"ref": "mihirpavuskar/m5-forecasting-accuracy-basic-eda", "kernel_id": "8751049"}, {"ref": "rahulvv/detect-yearly-trends-m5-forecasting-challenge", "kernel_id": "8378089"}, {"ref": "j0000shchen/walmarts-m5", "kernel_id": "8401135"}, {"ref": "rikideguchi/m5-forecasting", "kernel_id": "8987700"}, {"ref": "prabhavsingh/m5-analysis-eda", "kernel_id": "8426267"}, {"ref": "che4ako/best-try", "kernel_id": "8892919"}, {"ref": "nxrprime/darker-magic", "kernel_id": "8608171"}, {"ref": "nxrprime/preprocessing-fe", "kernel_id": "8746856"}, {"ref": "nxrprime/m5-forecaster-v2", "kernel_id": "8686853"}, {"ref": "nxrprime/m5-simple-holt-winters-and-lgbm", "kernel_id": "8420227"}, {"ref": "nxrprime/transformer-xl-intro-baseline", "kernel_id": "8868576"}, {"ref": "rakshitlodha/m5-comp", "kernel_id": "8974538"}, {"ref": "alicemozkara/kernel75eeff245d", "kernel_id": "8723412"}, {"ref": "jespermadsen/eda-p-m5-accuracy", "kernel_id": "8873723"}, {"ref": "lucacarotenuto/kernel-last28days", "kernel_id": "8922622"}, {"ref": "albertobc/usage-of-xgboost", "kernel_id": "8957588"}, {"ref": "albertobc/m5-primera-submission-fructuosa", "kernel_id": "8927421"}, {"ref": "kuanlunchiang/simple-lstm-v0", "kernel_id": "8533948"}, {"ref": "kuanlunchiang/lstm-embedding-v1", "kernel_id": "8627874"}, {"ref": "kimurayut/m5-forecasting-eda", "kernel_id": "8903081"}, {"ref": "kimurayut/m5-forecasting-eda-for-beginner", "kernel_id": "8936659"}, {"ref": "randunugalhena/m-forecasting-var", "kernel_id": "8835716"}, {"ref": "d19125435pranay/first-try-on-basic-random-forest-regression-model", "kernel_id": "8967885"}, {"ref": "perotti/very-fst-model", "kernel_id": "9995062"}, {"ref": "perotti/learning-pytorch-lstm-deep-learning-with-m5-data", "kernel_id": "9996058"}, {"ref": "kuberiitb/sample-submission-score-1-28", "kernel_id": "9170484"}, {"ref": "kuberiitb/util-functions-read-data-efficiently", "kernel_id": "9181728"}, {"ref": "kuberiitb/data-analysis-feature-engineering", "kernel_id": "9394572"}, {"ref": "christoffer/pandas-multi-indices-for-hts-fast-loading-etc", "kernel_id": "9743998"}, {"ref": "christoffer/evaluation-period-weights", "kernel_id": "9917310"}, {"ref": "robertburbidge/state-space-model", "kernel_id": "9430865"}, {"ref": "robertburbidge/state-space-model-and-lstm", "kernel_id": "9469785"}, {"ref": "rohanrao/m5-how-to-get-your-public-lb-score-rank", "kernel_id": "9801379"}, {"ref": "rohanrao/m5-anatomy-of-the-public-lb", "kernel_id": "9915389"}, {"ref": "rohanrao/m5-the-weighing-scale", "kernel_id": "9954377"}, {"ref": "skylord/fastai-tabular-starter-code", "kernel_id": "9323692"}, {"ref": "arpitsolanki14/m5-eda-basic-forecasting-techniques-croston", "kernel_id": "9819965"}, {"ref": "rdizzl3/time-series-transformations", "kernel_id": "9559888"}, {"ref": "lvmoos/catboost1", "kernel_id": "9731213"}, {"ref": "lvmoos/datapreprocess", "kernel_id": "9213012"}, {"ref": "tunguz/m5-adversarial-validation", "kernel_id": "9033495"}, {"ref": "tunguz/best-features-only", "kernel_id": "9032465"}, {"ref": "arti32lehtonen/some-simple-baseline", "kernel_id": "9267046"}, {"ref": "sandeepkr/m5-forecasting-accuracy-9f298c", "kernel_id": "9204316"}, {"ref": "bountyhunters/baseline-lstm-with-keras-0-7", "kernel_id": "9287954"}, {"ref": "sergiykazanin/fbprophet-with-holidays-and-prices", "kernel_id": "9564437"}, {"ref": "avneetreen/m5-dataexploration", "kernel_id": "9291844"}, {"ref": "rpcsvm/data-cleaning-base-model", "kernel_id": "9278374"}, {"ref": "prateekschn/m5-salesforecast", "kernel_id": "9797238"}, {"ref": "chameleontk/baseline-lightgbm-model", "kernel_id": "9164495"}, {"ref": "mpware/prophet-top-down", "kernel_id": "9872539"}, {"ref": "mpware/n-beats-basics", "kernel_id": "9975682"}, {"ref": "yeongsun/kernel53788ff812", "kernel_id": "9493059"}, {"ref": "deborareis/basic-python-timeseries-with-rmsse-in-progress", "kernel_id": "9364725"}, {"ref": "nolan13/fbprophet", "kernel_id": "9991870"}, {"ref": "nolan13/traditional-methods", "kernel_id": "9932375"}, {"ref": "eakdag/lstm-with-keras-0-7", "kernel_id": "9288746"}, {"ref": "lilsummer877/comparison-of-rolling-window-and-lags-catboost", "kernel_id": "9161811"}, {"ref": "nictosi/m5-forecasting-exploration", "kernel_id": "9020230"}, {"ref": "amansanghvi/walmart-sales-aman", "kernel_id": "9489026"}, {"ref": "ekholme/m5-accuracy-eda", "kernel_id": "9344374"}, {"ref": "leonzz/one-hot-encoding", "kernel_id": "9536952"}, {"ref": "iamprateek/sales-forecasting-lgbm", "kernel_id": "9314253"}, {"ref": "seriousran/top-100-before-leaderboard-disaster", "kernel_id": "9857104"}, {"ref": "kamalnaithani/lag-rollingfeature", "kernel_id": "9102957"}, {"ref": "kamalnaithani/other-features", "kernel_id": "9137019"}, {"ref": "kamalnaithani/featureextraction", "kernel_id": "9136233"}, {"ref": "kamalnaithani/modelwithimprovedaccuracy", "kernel_id": "9290591"}, {"ref": "craving1030/lb-0-508-baseline-model-with-r", "kernel_id": "9711735"}, {"ref": "craving1030/lb-0-488-lgb-with-r", "kernel_id": "9812544"}, {"ref": "raphaelsourty/production-ready-with-creme", "kernel_id": "9285346"}, {"ref": "pdx250697/m5-forecasting-starter-data-exploration", "kernel_id": "9252938"}, {"ref": "joydeb28/keras-cudnnlstm-baseline", "kernel_id": "9995722"}, {"ref": "swappy09/mineabledataset-viastate", "kernel_id": "9440857"}, {"ref": "swappy09/mineabledataset", "kernel_id": "9172791"}, {"ref": "mrcooperr/daemencloudt-submission-notebook", "kernel_id": "9873226"}, {"ref": "sayanotsu/walmart-weekly-sales-aggregation", "kernel_id": "9098057"}, {"ref": "anshuls235/time-series-forecasting-eda-fe-modelling", "kernel_id": "9549303"}, {"ref": "vladgriguta/lightgbm-hyperopt", "kernel_id": "9112217"}, {"ref": "gabzchua/fast-fbprophet-0-60-lb-w-o-tuning-fe", "kernel_id": "9800021"}, {"ref": "gabzchua/m5-accuracy-poisson-tweedie", "kernel_id": "9806113"}, {"ref": "gabzchua/identify-first-sell-date-andprices", "kernel_id": "9667240"}, {"ref": "suoires1/walmart-sale-overly-simplified-eda", "kernel_id": "9466818"}, {"ref": "harshithasaiynar/m5forecasting", "kernel_id": "9110861"}, {"ref": "sibmike/fast-clear-wrmsse-18ms", "kernel_id": "9001021"}, {"ref": "vibivij/m5-forecasting-accuracy-v1-0", "kernel_id": "9531869"}, {"ref": "alexismayer/m5-forecasting-demand-response-to-a-price-change", "kernel_id": "9799880"}, {"ref": "alexismayer/m5-forecasting-tip-to-improve-final-forecasts", "kernel_id": "9751267"}, {"ref": "pedromoya/submit-motor", "kernel_id": "9573402"}, {"ref": "tomoki86/kernelff0a0eb402", "kernel_id": "9350688"}, {"ref": "sergioli212/m5-eda", "kernel_id": "9241290"}, {"ref": "sergioli212/m5-modelling-using-lightgbm", "kernel_id": "9964016"}, {"ref": "srujan741/lgb-custom-rolling", "kernel_id": "9073514"}, {"ref": "marinalysenko/training-first-model", "kernel_id": "9740688"}, {"ref": "ryuheeeei/let-s-start-from-here-beginners-data-analysis", "kernel_id": "9125508"}, {"ref": "charchitcd/forecasting", "kernel_id": "9383058"}, {"ref": "mbnb8317/m5-mean-encoding-for-classify-regression", "kernel_id": "9871024"}, {"ref": "mbnb8317/m5-cluster-zero-one-sales-pattern", "kernel_id": "9514888"}, {"ref": "anishman/starter-data-exploration-lstm", "kernel_id": "9869016"}, {"ref": "annahulita13/m5-forecast", "kernel_id": "9894353"}, {"ref": "gaurav167/conv1d-model", "kernel_id": "9426964"}, {"ref": "lukeheytens/validation-set-wrmsse-for-statistical-benchmarks", "kernel_id": "9405094"}, {"ref": "omershect/learning-pytorch-seq2seq-with-m5-data-set", "kernel_id": "9671665"}, {"ref": "omershect/learning-pytorch-lstm-deep-learning-with-m5-data", "kernel_id": "9080107"}, {"ref": "poedator/interactive-charts-with-ipywidgets-demo", "kernel_id": "9109922"}, {"ref": "ramitjaal/m5-groupkfold-0-47474", "kernel_id": "9402540"}, {"ref": "fumiyokato/japanese", "kernel_id": "9947489"}, {"ref": "fumiyokato/japanese-stateholidays", "kernel_id": "9560603"}, {"ref": "yoshikikato/weather-observation-data-japanese", "kernel_id": "9820275"}, {"ref": "anlgrbz/adaptation-of-favorita-competition-winner-approach", "kernel_id": "9778557"}, {"ref": "anlgrbz/clustering-with-intermittent-demand-related-featrs", "kernel_id": "9404532"}, {"ref": "nkoprowicz/time-series-at-the-store-level-divide-by-item", "kernel_id": "9832458"}, {"ref": "ajinkyaindulkar/mlipioneers-eda-m5-accuracy", "kernel_id": "9624629"}, {"ref": "ajinkyaindulkar/mlipioneers-ensemblelearning-m5-accuracy", "kernel_id": "9910392"}, {"ref": "rajeshece/kernel95cfa0e36e", "kernel_id": "9114131"}, {"ref": "akashsuper2000/m5-three-shades-of-dark-darker-magic", "kernel_id": "9025292"}, {"ref": "akashsuper2000/m5-groupkfold", "kernel_id": "9433543"}, {"ref": "akashsuper2000/fork-of-m5-groupkfold", "kernel_id": "9871347"}, {"ref": "medrau/understanding-stockout-pattern-with-network-3d", "kernel_id": "9240574"}, {"ref": "one1111/m5-analysis-by-departments-and-stores-eda", "kernel_id": "9025026"}, {"ref": "gopidurgaprasad/m5-web-traffic-implementation-pytorch", "kernel_id": "9360885"}, {"ref": "ratamjose/a-complete-m5-exploratory-data-analysis", "kernel_id": "9788975"}, {"ref": "slashie/m5-helper", "kernel_id": "9567261"}, {"ref": "slashie/m5-first-look", "kernel_id": "9451914"}, {"ref": "slashie/m5-helper-s2", "kernel_id": "9865569"}, {"ref": "slashie/m5-feat-gen", "kernel_id": "9842997"}, {"ref": "sanjayar/m5-forecasting-descriptive-charts-arima", "kernel_id": "9641386"}, {"ref": "jagdmir/m5-forecasting-part-1-exploratory-data-analysis", "kernel_id": "9202222"}, {"ref": "prashantarorat/m5-forecasting-basic-eda", "kernel_id": "9731927"}, {"ref": "nlebang/m5-forecasting-data-explanation", "kernel_id": "9783580"}, {"ref": "nlebang/m5accuracy-a-comparison-of-the-simple-models", "kernel_id": "9822013"}, {"ref": "bpkapkar/forecasting-accuracy", "kernel_id": "9262693"}, {"ref": "kaiweihuang/m5-forecasting-accuracy-sales-rolling-features", "kernel_id": "9445184"}, {"ref": "kaiweihuang/m5-forecasting-accuracy-sales-lag-features", "kernel_id": "9349919"}, {"ref": "kaiweihuang/m5-forecasting-accuracy-calendar-price-features", "kernel_id": "9702626"}, {"ref": "kaiweihuang/m5-forecasting-accuracy-sales-basic-features", "kernel_id": "9222113"}, {"ref": "jordai/rausnaus-lightgbm-per-category-best-notebook", "kernel_id": "9823227"}, {"ref": "kilianovski/fast-wrmsse-evaluator-with-extra-features", "kernel_id": "9142576"}, {"ref": "timetraveller98/m5-accuracy-pytorch-deep-neural-net-dnn", "kernel_id": "9597361"}, {"ref": "harshdevgoyal/m5-training", "kernel_id": "9408707"}, {"ref": "kyakovlev/m5-custom-validation", "kernel_id": "9911836"}, {"ref": "kyakovlev/m5-witch-time", "kernel_id": "9435067"}, {"ref": "cuge1995/number-of-zeros-in-all-and-evaluation-dataset", "kernel_id": "9868054"}, {"ref": "yuta12345/kernel73abe5c36f-xgboosting", "kernel_id": "9010493"}, {"ref": "yuta12345/kernel73abe5c36f-rnn", "kernel_id": "9025561"}, {"ref": "azupero/m5-baseline", "kernel_id": "9373643"}, {"ref": "mayun5mayu2/preprocessing-calendar-by-dummying", "kernel_id": "9989668"}, {"ref": "anirbansen3027/m5-ads-creation", "kernel_id": "9373715"}, {"ref": "coolbeansbro/beginner-eda", "kernel_id": "9553510"}, {"ref": "yushg123/for-loops-vs-vectorized-who-wins-and-by-how-much", "kernel_id": "9452132"}, {"ref": "prashant268/m5-forecasting-10", "kernel_id": "9477722"}, {"ref": "kueno55/pre-release-products", "kernel_id": "9860137"}, {"ref": "melvin97n/m5-for-dummies", "kernel_id": "9911058"}, {"ref": "jblebret/draft", "kernel_id": "9026672"}, {"ref": "arihant72600/m5-forecasting-starter-data-exploration", "kernel_id": "9163773"}, {"ref": "shin0000/m5-lightgbm-baseline", "kernel_id": "9824200"}, {"ref": "shin0000/m5-neuralnetworks-wavenet-gru-conv-baseline", "kernel_id": "9908187"}, {"ref": "syoheihoh/simple-submission", "kernel_id": "9293457"}, {"ref": "syoheihoh/simple-lightgbm-model", "kernel_id": "9333895"}, {"ref": "syoheihoh/m5-simpel-fe", "kernel_id": "9330981"}, {"ref": "suuuuuu/three-shades-of-dark-darker-magic-change-num-iter", "kernel_id": "9342708"}, {"ref": "chrisrichardmiles/m5-flexible-custom-metric-lv-12-only-for-lgbm", "kernel_id": "9363376"}, {"ref": "chrisrichardmiles/m5-functions-stats-df-and-series-df", "kernel_id": "9678980"}, {"ref": "chrisrichardmiles/m5-helpers", "kernel_id": "9713381"}, {"ref": "chrisrichardmiles/trying-to-fit-full-gradient-into-loss-function", "kernel_id": "9070294"}, {"ref": "chrisrichardmiles/m5-fast-lags-features", "kernel_id": "9816314"}, {"ref": "brunhs/m5-forecasting-introdutory-eda", "kernel_id": "9010847"}, {"ref": "gc1023/pandas-profiling", "kernel_id": "9073334"}, {"ref": "lucca9211/m5-sales-accuracy", "kernel_id": "9427529"}, {"ref": "douglaslessmann/m5-forecasting-model-for-one-product", "kernel_id": "9639065"}, {"ref": "halsmit/m5myfirst", "kernel_id": "9398459"}, {"ref": "sinam44/data-analysis-incompelete", "kernel_id": "9132907"}, {"ref": "gromml/m5-linear-regression-for-each-item", "kernel_id": "9832018"}, {"ref": "santosh8896/m5-dark-witch-time-by-store", "kernel_id": "9829419"}, {"ref": "davidmsu/eda-for-russian-beginners-from-russian-beginner", "kernel_id": "9365019"}, {"ref": "jafarib/m5-forecasting-accuracy", "kernel_id": "9143668"}, {"ref": "marutama/back-to-predict-the-future-m5-eda-6-1", "kernel_id": "9020791"}, {"ref": "marutama/m5-dark-witch-time-by-store", "kernel_id": "9600010"}, {"ref": "marutama/charts-by-stores", "kernel_id": "9820699"}, {"ref": "marutama/charts-by-stores-2-valid-vs-eval", "kernel_id": "9857529"}, {"ref": "kmatsuyama/shap-feature-importances-plot-of-nn-models", "kernel_id": "9200127"}, {"ref": "qkrwlsdn96/baseline-lstm-with-keras-0-8", "kernel_id": "9296836"}, {"ref": "risheshg/m5-accuracy-starter-data-exploration", "kernel_id": "9150273"}, {"ref": "vstarygin/basic-time-series-data-investigation", "kernel_id": "9686114"}, {"ref": "tchaye59/m5-acc-data-to-tfrecords", "kernel_id": "9865413"}, {"ref": "tchaye59/m5-acc-boosting", "kernel_id": "9817086"}, {"ref": "tchaye59/m5-acc-lstm-model", "kernel_id": "9817381"}, {"ref": "lzcabc123456/score-distribution-of-the-public-lb", "kernel_id": "9457214"}, {"ref": "rashmiranu/m5-accuracy", "kernel_id": "9653361"}, {"ref": "vlpavlov/sanity-consistency-validator-for-m5-forecasts", "kernel_id": "9700702"}, {"ref": "njain920/aggregated-prediction-actual-plots", "kernel_id": "9176181"}, {"ref": "binhlc/m5-top-down-forecast", "kernel_id": "9295432"}, {"ref": "binhlc/forecasting-multiple-time-series-using-prophet", "kernel_id": "9116437"}, {"ref": "jeffzi/fast-clear-wrmsse-18ms", "kernel_id": "9118366"}, {"ref": "raghvenbhati/prophet-forecasts", "kernel_id": "9107653"}, {"ref": "stephenfenel/recursive-train-test-split-by-shop", "kernel_id": "9231265"}, {"ref": "stephenfenel/recursive-lgb-poisson", "kernel_id": "9118580"}, {"ref": "shantanu1118/m5-shades-of-dark-magic", "kernel_id": "9260240"}, {"ref": "charwiz33/lightgbm-attempt-1", "kernel_id": "9274470"}, {"ref": "ryohgy/simple-lgbm", "kernel_id": "9756353"}, {"ref": "evilmind/memory-usage-reduction", "kernel_id": "9359572"}, {"ref": "fivesix7onine/eda-rmd", "kernel_id": "9147645"}, {"ref": "simontscott/m5-forecasting-competition-time-series-models", "kernel_id": "9630450"}, {"ref": "tehutahu/nn-model-by-feature-first-under-0-50", "kernel_id": "9837922"}, {"ref": "rohitsingh9990/m5-feature-engineering-for-beginners", "kernel_id": "9039908"}, {"ref": "patrykradon/m5-forecasting-accuracy", "kernel_id": "9675262"}, {"ref": "patrykradon/train-price-parser", "kernel_id": "9782734"}, {"ref": "josephjosenumpeli/m5-forecasting-encoder-decoder-with-attention", "kernel_id": "9827087"}, {"ref": "snehlatasingh/m5-accuracy-prediction-snehabhi", "kernel_id": "9403126"}, {"ref": "kurtispykes/a-look-at-arima-model-for-forecasting", "kernel_id": "9709757"}, {"ref": "cyrilromain/final-clg", "kernel_id": "9993690"}, {"ref": "nishantpatyal/m5-forcasting-basic-fbprophet", "kernel_id": "9212822"}, {"ref": "kylelee97/lstm-product-by-product", "kernel_id": "9231705"}, {"ref": "kojiiwase/m5-lags-features", "kernel_id": "9071099"}, {"ref": "kojiiwase/m5-simple-fe", "kernel_id": "9060886"}, {"ref": "kojiiwase/m5-custom-features", "kernel_id": "9060086"}, {"ref": "ashutosh619sudo/m5-forecasting-with-conv1d-and-lstm", "kernel_id": "9125462"}, {"ref": "urayukitaka/m5-forecasting-eda-and-lgbm-prediction", "kernel_id": "9569732"}, {"ref": "urayukitaka/eda-of-m5-forecast-data-categorical-and-timeserie", "kernel_id": "9841327"}, {"ref": "urayukitaka/m5-forecast-lgbm-model", "kernel_id": "9864553"}, {"ref": "ryosukeishiii/m5-forecasting-summary-of-events-english", "kernel_id": "9493865"}, {"ref": "chandra03/m5-forcasting", "kernel_id": "9106192"}, {"ref": "soheilarouhi/m5-forecasting-accuracy", "kernel_id": "9887424"}, {"ref": "sanjeevkallepalli/m5-forecasting-preprocessing-prediction", "kernel_id": "9269604"}, {"ref": "nxrprime/thoughts-on-creating-a-good-nn-model", "kernel_id": "9209660"}, {"ref": "nxrprime/loss-functions", "kernel_id": "9394834"}, {"ref": "nxrprime/m5-feather-files-for-fast-loading-48x-faster", "kernel_id": "9486691"}, {"ref": "ejunichi/m5-three-shades-of-dark-darker-magic", "kernel_id": "9056442"}, {"ref": "ejunichi/m5-simple-fe", "kernel_id": "9108245"}, {"ref": "anmolarora01/m5-forecasting-accuracy", "kernel_id": "9301113"}, {"ref": "anujgupta872003/m5-forecasting-accuracy", "kernel_id": "9403000"}, {"ref": "udbhavpatwal/etl-on-m5", "kernel_id": "9539533"}, {"ref": "udbhavpatwal/da-focused", "kernel_id": "9632915"}, {"ref": "udbhavpatwal/model-data-preparation-and-more", "kernel_id": "9755402"}, {"ref": "yamacgulfidanalumni/m5-eda-plotly-lstm-neural-network-vs-xgboost", "kernel_id": "9327454"}, {"ref": "jimmyliuu/m5-forecasting-accuracy-research-version-2", "kernel_id": "9979321"}, {"ref": "jimmyliuu/m5-forecast-accuracy-research-version-1", "kernel_id": "9788801"}, {"ref": "dantefilu/dnn-categorical-embeddings-optimized-day-to-day", "kernel_id": "9023345"}, {"ref": "aiwale/wallmart-sales-prediction", "kernel_id": "9190106"}, {"ref": "aiwale/m5-three-shades-of-dark-darker-magic-7e4beb", "kernel_id": "9219122"}, {"ref": "jespermadsen/aflevering-grp-2", "kernel_id": "9567194"}, {"ref": "jespermadsen/sarima-analyse", "kernel_id": "9411534"}, {"ref": "rodrigoignacioperez/m5-forecast-keras-with-categorical-embeddings-v2", "kernel_id": "9638506"}, {"ref": "rodrigoignacioperez/optimum-weighted-average", "kernel_id": "9438239"}, {"ref": "mikhailbulygin/mlip-team-wall-e-deep-cnn", "kernel_id": "9877269"}, {"ref": "katieperkins/beginner-view-of-m5-forecasting-lightgbm", "kernel_id": "9397789"}, {"ref": "fbergh/single-model-evaluation-submission", "kernel_id": "9946472"}, {"ref": "fbergh/best-model-parameter-tuning", "kernel_id": "9863365"}, {"ref": "fbergh/rausnaus-lgbm-ensemble", "kernel_id": "9781155"}, {"ref": "fbergh/rausnaus-lightgbm-per-category", "kernel_id": "9758124"}, {"ref": "abdelhakimbenechehab/multiseasonal-univariate-model-using-sarimax", "kernel_id": "9528717"}, {"ref": "jcrogier/mlip-wall-e-lgbm", "kernel_id": "9775516"}, {"ref": "gijshendriksen/m5-forecasting-rnn", "kernel_id": "9110307"}, {"ref": "aruncjohn/m5-comprehensive-data-analysis-python", "kernel_id": "9065973"}, {"ref": "ef132002/m5-linearregression", "kernel_id": "9993965"}, {"ref": "hingencity/mlip-daemencloudt-lightgbm-notebook-wrmsse", "kernel_id": "9733710"}, {"ref": "hingencity/mlip-daemencloudt-feature-computation-notebook", "kernel_id": "9569760"}, {"ref": "hingencity/mlip-m5-notebook-ma-and-es", "kernel_id": "9082142"}, {"ref": "sergeyakulich/feature-engineering-and-selection", "kernel_id": "9340677"}, {"ref": "albertobc/m5-feature-engineering-rolling-demand-features", "kernel_id": "9166076"}, {"ref": "albertobc/m5-modelo-lgbm", "kernel_id": "9031974"}, {"ref": "albertobc/m5-nuevos-par-metros-para-el-lgbm", "kernel_id": "9065177"}, {"ref": "albertobc/m5-forma-final-de-data", "kernel_id": "9154696"}, {"ref": "joevakkara/rnn-for-dsai", "kernel_id": "9165355"}, {"ref": "allenljw/158755-m5-forecasting", "kernel_id": "9504182"}, {"ref": "mqhqihh/m5-final", "kernel_id": "9905834"}, {"ref": "rasmuspetersen/kernel1bd726777f", "kernel_id": "9132061"}, {"ref": "digvijayyadav/m5-accuracy-model", "kernel_id": "9300504"}, {"ref": "madsgregersrynord/gruppe-vejle-15", "kernel_id": "9148221"}, {"ref": "shwetsuman/m5-forecasting", "kernel_id": "9229832"}, {"ref": "hugodeladriere/analyse-de-donnn-es-1", "kernel_id": "9490209"}, {"ref": "johannespedersen/mathiasjohanneslasse-stu", "kernel_id": "9676045"}, {"ref": "johannespedersen/testm5", "kernel_id": "9657953"}, {"ref": "upekhadias/upekha-m5", "kernel_id": "9107802"}, {"ref": "upekhadias/m5-hobbies", "kernel_id": "9148210"}, {"ref": "upekhadias/m5-initial", "kernel_id": "9158420"}, {"ref": "itmbajonghoonlee/m5-first-public-notebook-under-0-50-lee", "kernel_id": "9276388"}, {"ref": "varshneypragya/first-notebook", "kernel_id": "9524375"}, {"ref": "lassesighklitgaard/kernelexpori", "kernel_id": "9430453"}, {"ref": "kosaisioudi/m5-forecasting", "kernel_id": "9318799"}, {"ref": "holdenyau/prophet", "kernel_id": "9826571"}, {"ref": "zhiyuant/m5-baseline-5a0b0d", "kernel_id": "9445508"}, {"ref": "anasoblechero/it-is-time-for-m5-going-step-by-step-edit", "kernel_id": "9959881"}, {"ref": "joannamarcinkowska/m5-forecasting-accuracy", "kernel_id": "9994373"}, {"ref": "chandrimad31/ts-forecasting-moving-avg-lightgbm-with-hyperopt", "kernel_id": "9945796"}, {"ref": "itmbaworkharder/very-fst-model", "kernel_id": "9906777"}, {"ref": "yatinece/using-trmf-embedding-as-input-to-lighgbm", "kernel_id": "10411271"}, {"ref": "perotti/m5-forecasting-eda-lstm-pytorch-modeling", "kernel_id": "10140133"}, {"ref": "mandalsubhajit/sankey-diagram-on-state-vs-cat-vs-dept", "kernel_id": "10142471"}, {"ref": "matthiasanderer/m5-alignandsubmit", "kernel_id": "10410880"}, {"ref": "mrgrigorii/m5-forecasting-accuracy-v2", "kernel_id": "10307210"}, {"ref": "mrgrigorii/m5-forecasting-accuracy-linear-models", "kernel_id": "10366860"}, {"ref": "choisgood/more-holiday-information-by-web-crawling", "kernel_id": "10025350"}, {"ref": "leonzz/light-gbm", "kernel_id": "10384536"}, {"ref": "shaitender/optimum-weighted-average", "kernel_id": "10256442"}, {"ref": "shaitender/m5-pycaret-stacking-in-progress", "kernel_id": "10357692"}, {"ref": "shaitender/light-gbm-m5-forecasting-accuracy-forcasting", "kernel_id": "10349309"}, {"ref": "teoretic6/190-place-simple-catboost-wrmsse-crossval", "kernel_id": "10546744"}, {"ref": "ddeeps2610/eda-modeling", "kernel_id": "10245867"}, {"ref": "nagayamacho3/m5-forecasting-accuracy-simple-forcasting", "kernel_id": "10029346"}, {"ref": "sibmike/m5-eazzy-time-series-clusterization-with-k-shape", "kernel_id": "10339940"}, {"ref": "kneroma/faster-loss-function-with-lb-position-500ms", "kernel_id": "10316634"}, {"ref": "kneroma/m5-fpnu0-50-updated", "kernel_id": "10334716"}, {"ref": "pratikkumar/m5-forecasting-calendar-events-minfeats", "kernel_id": "10321030"}, {"ref": "pratikkumar/m5-point-forecast-createinput-1100", "kernel_id": "10323028"}, {"ref": "pratikkumar/m5-pointforecast-agggroups-idxs-k-val", "kernel_id": "10269735"}, {"ref": "pratikkumar/m5-point-forecast-valweights", "kernel_id": "10060598"}, {"ref": "pratikkumar/m5-pointforecast-itstorder-hist-val", "kernel_id": "10399444"}, {"ref": "pratikkumar/m5-pointforecast-modeltrain-customobj-val-final", "kernel_id": "10394258"}, {"ref": "xxbxyae/123rd-place-solution", "kernel_id": "10429587"}, {"ref": "yamanity/m5-forecasting-accuracy", "kernel_id": "10101082"}, {"ref": "sergioli212/m5-extract-snap-with-onehotencoder", "kernel_id": "10113538"}, {"ref": "sergioli212/m5-forecast-evaluation-data-using-lgbm-models", "kernel_id": "10339650"}, {"ref": "altprof/109th-place-code-only", "kernel_id": "10468919"}, {"ref": "tusharkale/lstm-deep-learning-with-m5-data", "kernel_id": "10549695"}, {"ref": "rahulsarkar906/kernel75f68576c8", "kernel_id": "10107170"}, {"ref": "shikha130vv/lstm-feature-engineering", "kernel_id": "10426853"}, {"ref": "ajinkyaindulkar/mlipioneers-plots-m5-accuracy", "kernel_id": "10100303"}, {"ref": "akashsuper2000/m5-lightgbm-model", "kernel_id": "10412413"}, {"ref": "akashsuper2000/m5-forecasting-accuracy-moving-average-lightgbm", "kernel_id": "10341204"}, {"ref": "ankitgupta04/m5-notebook", "kernel_id": "10107178"}, {"ref": "slashie/m5-forecast-ca1", "kernel_id": "10373375"}, {"ref": "slashie/m5-forecast-all", "kernel_id": "10373826"}, {"ref": "slashie/m5-review", "kernel_id": "10952137"}, {"ref": "jagdmir/m5-forecasting-part-two-lgbm-regressor", "kernel_id": "10276250"}, {"ref": "joanest/ultimo-codigo", "kernel_id": "10353318"}, {"ref": "nlebang/m5-fpnu", "kernel_id": "10360681"}, {"ref": "jinghuiwong/m5-forecasting-cnn-lstm-deep-learning", "kernel_id": "10456980"}, {"ref": "jordai/intermittency", "kernel_id": "10014788"}, {"ref": "mahmudds/m5-forecasting-accuracy", "kernel_id": "10420673"}, {"ref": "mahmudds/kernel640086ca2d", "kernel_id": "10424009"}, {"ref": "mahmudds/m5-forecasting", "kernel_id": "10403251"}, {"ref": "mahmudds/m5-forecasting-accuracy-analysis-models", "kernel_id": "10368580"}, {"ref": "a7xche/m5-forecasting-accuracy-eda", "kernel_id": "10210856"}, {"ref": "harshdevgoyal/m5-simple-fe", "kernel_id": "10136474"}, {"ref": "harshdevgoyal/m5-lags-features", "kernel_id": "10178201"}, {"ref": "harshdevgoyal/m5-custom-features", "kernel_id": "10214606"}, {"ref": "swimingcircle119/m5-retail-analytics", "kernel_id": "10897927"}, {"ref": "ryutarohashimoto/m5-fbprophet", "kernel_id": "10543187"}, {"ref": "ryutarohashimoto/run-fbprophet", "kernel_id": "10541952"}, {"ref": "mothermoto/25th-place-solution", "kernel_id": "10456388"}, {"ref": "mentalitet/permutation-test-with-wilcoxon-stat", "kernel_id": "10103543"}, {"ref": "maxencelemercier/m5-time-series-grouped-ffn-202007", "kernel_id": "10427693"}, {"ref": "manohar502/m5-lstm", "kernel_id": "10020972"}, {"ref": "kk0105/time-series-forecasting-eda-sarima", "kernel_id": "10719676"}, {"ref": "malavika8/walmartproject", "kernel_id": "10161475"}, {"ref": "liyishuolys/m5-simple-fe", "kernel_id": "10236120"}, {"ref": "slavikonnikov/lightgbm-gpu-baseline-model-for-google-colab", "kernel_id": "10351772"}, {"ref": "suuuuuu/m5-ca1-model-final", "kernel_id": "10359926"}, {"ref": "suuuuuu/binary-challenge-evaluation-ca-1-2", "kernel_id": "10289991"}, {"ref": "suuuuuu/m5-ca1-grid-final", "kernel_id": "10327536"}, {"ref": "suuuuuu/m5-event-lag", "kernel_id": "10310974"}, {"ref": "suuuuuu/m5-target-encoding", "kernel_id": "10090555"}, {"ref": "chrisrichardmiles/m5-fast-lags-features-basic-lags-part-1", "kernel_id": "10021174"}, {"ref": "chrisrichardmiles/m5-wrmsse-custom-objective-and-custom-metric", "kernel_id": "10441265"}, {"ref": "chrisrichardmiles/77th-place-custom-loss-custom-metric", "kernel_id": "10419139"}, {"ref": "karam123/output-shape-of-different-layers-in-keras", "kernel_id": "10158277"}, {"ref": "taghredsalah199/m5-forecasting-accuracy-joining-cleaning-datasets", "kernel_id": "10238144"}, {"ref": "sidneyng/k-m5-final-public", "kernel_id": "10435363"}, {"ref": "ismailbbm/out-of-stock-detection", "kernel_id": "10429231"}, {"ref": "tfukuda675/m5-simple-fe-for-eval-df", "kernel_id": "10092409"}, {"ref": "aakashveera/m5-accuracy", "kernel_id": "10717771"}, {"ref": "aakashveera/m5-accuracy-final", "kernel_id": "10727046"}, {"ref": "prakash711/m5-forecasting-with-tensorflow-bilstm", "kernel_id": "10228585"}, {"ref": "velsaravana2002/m5-forecasting", "kernel_id": "10375490"}, {"ref": "nickteim/m5-baselines-forecasting", "kernel_id": "10480028"}, {"ref": "abdolazimrezaei/memory-optimization-function", "kernel_id": "10161755"}, {"ref": "ritvik29/run-prophet-ritvik-jul15", "kernel_id": "10666546"}, {"ref": "ritvik29/fb-prophet-compile-codes-june16", "kernel_id": "10158357"}, {"ref": "ritvik29/prophet-univariate-final-submission", "kernel_id": "10324364"}, {"ref": "saraswatitiwari/kernel34beb41213", "kernel_id": "10061369"}, {"ref": "sangeethamanoharan/m5-forecast-accuracy", "kernel_id": "10221555"}, {"ref": "haojiangvae/kaggle-m5-prediction-competition-team-terp-report", "kernel_id": "10472957"}, {"ref": "josephjosenumpeli/m5-date-features", "kernel_id": "10154412"}, {"ref": "josephjosenumpeli/m5-ann-features", "kernel_id": "10153687"}, {"ref": "josephjosenumpeli/m5-encdec-attention-v2-with-padded-inputs", "kernel_id": "10178834"}, {"ref": "olafko/m5-forecasting-accuracy-simplest-model", "kernel_id": "10403536"}, {"ref": "frankmollard/moon-phases-and-distances", "kernel_id": "10011768"}, {"ref": "jimmyliuu/m5-forecasting-accuracy-research-version-4", "kernel_id": "10402892"}, {"ref": "jimmyliuu/m5-forecasting-accuracy-research-version-3", "kernel_id": "10146365"}, {"ref": "jaswanthhbadvelu/cat-xgb-lgboost-prophet", "kernel_id": "10129171"}, {"ref": "dantefilu/nn-on-store-level-with-3-fold-cv-store-wrmsse", "kernel_id": "10001755"}, {"ref": "dantefilu/lgbm-on-store-level-with-3-fold-cv-store-wrmsse", "kernel_id": "10065479"}, {"ref": "mikhailbulygin/mlip-team-wall-e-lgbm", "kernel_id": "10125602"}, {"ref": "fbergh/ensemble-evaluation-submission", "kernel_id": "10017825"}, {"ref": "fbergh/category-models-evaluation-submission", "kernel_id": "10017443"}, {"ref": "herrum/final-rnn-version", "kernel_id": "10124286"}, {"ref": "vivianvriezekolk/mlip-villaatje-2v3", "kernel_id": "10052366"}, {"ref": "koheishima/m5-forecasting-accuracy-time-series-plot", "kernel_id": "10387449"}, {"ref": "dmitrynokhrin/lgbm-parameters-update", "kernel_id": "10187353"}, {"ref": "atsushiiwasaki/m5-study-on-wrmsse-inequality-psuedo-wmase", "kernel_id": "10509890"}, {"ref": "akshaychaudhary44/m5-eda", "kernel_id": "10123329"}, {"ref": "yoshitakaito/dataanalysis", "kernel_id": "10278728"}, {"ref": "yoshitakaito/future-engineering-modeling", "kernel_id": "10417582"}, {"ref": "jamesleemonka/vanilla-lgbm", "kernel_id": "10232945"}, {"ref": "jamesleemonka/lstm-lightgbm-final", "kernel_id": "10413399"}, {"ref": "anil4274/m5-28-days-forecast", "kernel_id": "10102459"}, {"ref": "ayaneh/m5-training-models-evaluation", "kernel_id": "10302394"}, {"ref": "mohitkaushik12/exploratory-data-analysis", "kernel_id": "10445702"}, {"ref": "harshkothari21/incomplete", "kernel_id": "10105091"}, {"ref": "ajiteshshukla98/achieving-top-2-lb-score-in-your-first-competition", "kernel_id": "10435749"}, {"ref": "yatok36789/cheatsheet-date-helpers", "kernel_id": "10779411"}, {"ref": "anpaga/cnn-all-items", "kernel_id": "10102687"}, {"ref": "anpaga/cnn-per-item", "kernel_id": "10018627"}, {"ref": "longhahai/m5-forecasting-accuracy-r", "kernel_id": "10372477"}, {"ref": "yukikita/m5-potential-sarimax", "kernel_id": "10355290"}, {"ref": "chenxuds/m5accuracy-lightgbm", "kernel_id": "10193606"}, {"ref": "chenxuds/m5accuracy-models-level1", "kernel_id": "10084979"}, {"ref": "yuankunsong/walmart-sales-visualization", "kernel_id": "10066052"}, {"ref": "anasoblechero/baseline-lstm-with-keras-0-7", "kernel_id": "10183817"}, {"ref": "anasoblechero/baseline-lstm-with-keras-0-8", "kernel_id": "10186269"}, {"ref": "harryliuhanyao/m5-eda-team", "kernel_id": "10038082"}, {"ref": "harryliuhanyao/cluster-analysis-unsupervised-country-data", "kernel_id": "10243107"}, {"ref": "harryliuhanyao/pca-fa-cluster", "kernel_id": "10188505"}, {"ref": "nikhilsawal011893/m5-forecasting-eda", "kernel_id": "10275183"}, {"ref": "chandrimad31/intermittent-sales-forecasting-5-timeseries-models", "kernel_id": "10434213"}, {"ref": "soumyajithalder/kernel69d2688e3d", "kernel_id": "10075245"}, {"ref": "pkulczak/m5-forecasting-accuracy", "kernel_id": "10012999"}, {"ref": "ahmedmurad1990/m5-forecasting-accuracy", "kernel_id": "10890393"}, {"ref": "aamirhussain/comprehensive-feature-engineering-tutorial", "kernel_id": "11434436"}, {"ref": "idemitsu/late-m5-forecasting-transformer", "kernel_id": "11447208"}, {"ref": "rahulbordoloi/m5-forecasting", "kernel_id": "11024735"}, {"ref": "taghredsalah199/time-series-statsmodels-analysis", "kernel_id": "11316416"}, {"ref": "jeanmichelsmith/last-m5-clean-codes-with-prophet", "kernel_id": "11921194"}, {"ref": "akashmathur2212/comprehensive-data-visualization-m5-eda", "kernel_id": "11948113"}, {"ref": "spyrospetsis/prospatheia-gia-to-wow", "kernel_id": "11845786"}, {"ref": "ryu581/m5-forecasting-accuracy-data-visualization", "kernel_id": "11327828"}, {"ref": "swetajoshi/sample-submission-score-1-28", "kernel_id": "11629220"}, {"ref": "oleksiibernatskyi/m5-5kernel", "kernel_id": "11086348"}, {"ref": "marisakamozz/m5-exponential-smoothing", "kernel_id": "12124225"}, {"ref": "manohar502/m5-bidirectional-lstm", "kernel_id": "12825139"}, {"ref": "manohar502/m5-stacked", "kernel_id": "12830178"}, {"ref": "ashrafkhan94/forecasting-walmart-sales-time-series-analysis", "kernel_id": "12133113"}, {"ref": "jeanmichelsmith/prophet-additional-regressor-290920", "kernel_id": "12004313"}, {"ref": "christosmoschofidis/m5-forecasting-for-1-product-at-a-time", "kernel_id": "12529811"}, {"ref": "christosmoschofidis/assignment-model-feature-engineering", "kernel_id": "12001254"}, {"ref": "vignesh19j/keras-cudnnlstm-baseline", "kernel_id": "12593875"}, {"ref": "adyashreemahapatra/m5-lags-features", "kernel_id": "12191038"}, {"ref": "tomokinishida/m5-forecasting-eda", "kernel_id": "12847164"}, {"ref": "tomokinishida/m5-forecasting-accuracy", "kernel_id": "12925570"}, {"ref": "takumikawashima/m5-final-xx", "kernel_id": "12970237"}, {"ref": "takumikawashima/m5-simple-fe-evaluation", "kernel_id": "12987880"}, {"ref": "yutatakaba/notebookf2c19fb947", "kernel_id": "12966962"}, {"ref": "kvnkho/m5-pcty-spark-demo", "kernel_id": "13615676"}, {"ref": "goodwanghan/walmart-products-eda-fugue-demo", "kernel_id": "13255831"}, {"ref": "purnima29/multiprocessing-plus-exponentialsmoothing", "kernel_id": "13300575"}, {"ref": "nemuritarinai/m5-accuracy", "kernel_id": "13145446"}, {"ref": "mekazanc/visualizewithpandas", "kernel_id": "13357044"}, {"ref": "avivlevi815/final-solution-726th-place-private", "kernel_id": "13133935"}, {"ref": "avivlevi815/final-solution-726th-place", "kernel_id": "13239803"}, {"ref": "sidd1996/m5-forecasting-accuracy-eda", "kernel_id": "13509913"}, {"ref": "spyrospetsis/m5-competition-accuracy-uom-mbads-final", "kernel_id": "13494241"}, {"ref": "saneyukimakino/m5-forecasting-lstm", "kernel_id": "13195103"}, {"ref": "takumikawashima/m5-alignandsubmit", "kernel_id": "13069752"}, {"ref": "tgan452/notebook359b1a6d7b", "kernel_id": "13635191"}, {"ref": "yashvi/time-series-forecasting-using-lstm-m5", "kernel_id": "14866024"}, {"ref": "tawejssh/m5-forecast-and-eda-tutorial", "kernel_id": "14289174"}, {"ref": "anthonylauly/m5-accuracy-final-submission", "kernel_id": "14795475"}, {"ref": "anthonylauly/m5-accuracy-creating-features", "kernel_id": "14540652"}, {"ref": "jagdmir/m5-forecasting-gru", "kernel_id": "14993652"}, {"ref": "andreshg/timeseries-analysis-a-complete-guide", "kernel_id": "14657193"}, {"ref": "nitiruengcharoen/time-series-forecasting", "kernel_id": "14488082"}, {"ref": "husammohammad/time-series-model-sarimax-vs-lstm-vs-fbprophet", "kernel_id": "14604417"}, {"ref": "dpmaurya/multiseasonal-univariate-model-using-sarimax", "kernel_id": "14165995"}, {"ref": "singhn156/svm-m5-intermittent-forcasting", "kernel_id": "15181694"}, {"ref": "tbierhance/m3-01-ml-f-r-zeitreihen", "kernel_id": "15759026"}, {"ref": "nobletp/m5-rnn-wavenet-n-beats-approach", "kernel_id": "15626016"}, {"ref": "ferhah/m5-final-score", "kernel_id": "15300889"}, {"ref": "ankitverma2010/walmart-sales-time-series-analysis", "kernel_id": "15374869"}, {"ref": "chanakyavivekkapoor/eda-and-stores-clustering-walmart", "kernel_id": "15899474"}, {"ref": "amquantiphi/m5-forecast-v2-python", "kernel_id": "15780985"}, {"ref": "lemuz90/m5-preprocess", "kernel_id": "16639809"}, {"ref": "lemuz90/m5-mlforecast", "kernel_id": "16640055"}, {"ref": "lemuz90/m5-mlforecast-distributed", "kernel_id": "16706182"}, {"ref": "tqrahman/baseline-lstm-w-dropout-3x64", "kernel_id": "16904803"}, {"ref": "abhinandansrivastava/poc-ver3", "kernel_id": "16168717"}, {"ref": "taylanmerttonka/beginner-time-series-with-auto-arima", "kernel_id": "16619970"}, {"ref": "maymie/walmart-m5", "kernel_id": "16401497"}, {"ref": "beezus666/time-series-analysis-m5-competition-review", "kernel_id": "17092194"}, {"ref": "zhaiylabasbekov/notebook-m5", "kernel_id": "17142533"}, {"ref": "sorraponmongkonsook/modelling", "kernel_id": "17504818"}, {"ref": "sorraponmongkonsook/m5-sorrapon-eda", "kernel_id": "17389477"}, {"ref": "priyanka4pc/m5-model", "kernel_id": "17266543"}, {"ref": "priyanka4pc/m5-forecasting-accuracy-eda", "kernel_id": "17027846"}, {"ref": "yoshiki0727/insert-holiday", "kernel_id": "17546342"}, {"ref": "igorspannenberger/wal-mart-solution", "kernel_id": "17988270"}, {"ref": "igorspannenberger/m5-forecasting-starter-data-exploration", "kernel_id": "17955201"}, {"ref": "igorspannenberger/wal-mart-data-analyze", "kernel_id": "17958027"}, {"ref": "harrenkoo/m5-accuracy-youjungkoo", "kernel_id": "17287191"}, {"ref": "harrenkoo/accuracy-yjk", "kernel_id": "17512468"}, {"ref": "perotti/time-series-forecasting-eda-fe-modelling", "kernel_id": "18272019"}, {"ref": "mridulmazumdar/data-exploration", "kernel_id": "18677993"}, {"ref": "surekharamireddy/m5-forecasting-with-lstm-and-lightgbm", "kernel_id": "18804725"}, {"ref": "khosiyatsabirova/exploratory-data-analysis-m5-forecasting-accur", "kernel_id": "18107505"}, {"ref": "gurisuhyun/baseline-lstm-with-keras-0-8", "kernel_id": "18462018"}, {"ref": "ioannisfotiadis/walmart-data", "kernel_id": "18562985"}, {"ref": "bisili/baseline-lstm-with-keras", "kernel_id": "19810385"}, {"ref": "mridulmazumdar/feature-engineering", "kernel_id": "19447115"}, {"ref": "mubashir1/one-tutorial-to-understand-all-m5-forecasting", "kernel_id": "20954420"}, {"ref": "maayumyum/koravit-m5", "kernel_id": "20915070"}, {"ref": "shivharitewari/sales-forecasting-on-comprehensive-data-python", "kernel_id": "20244662"}, {"ref": "printnaveen/eda-fe", "kernel_id": "21428464"}, {"ref": "qiwei13/gmlts", "kernel_id": "21966180"}, {"ref": "qiwei13/validator", "kernel_id": "21934077"}, {"ref": "poltitor/m5-accuracy-crisp-dm-panjapol", "kernel_id": "21325810"}, {"ref": "minhajulhoque/deep-learning-rnn-for-m5-forecasting", "kernel_id": "21902839"}, {"ref": "atsushiszk/m5-forecasting-accuracy-eda-and-forecast", "kernel_id": "21850685"}, {"ref": "jess19/very-fst-model-jm", "kernel_id": "22022775"}, {"ref": "dsantoshi/ca-1-one-store-very-fast-model", "kernel_id": "22022749"}, {"ref": "rafikamsani/global-models-ml-v2", "kernel_id": "22178902"}, {"ref": "nemuko/01-merge-dataset", "kernel_id": "22429580"}, {"ref": "nemuko/03-make-model-and-submission", "kernel_id": "22429479"}, {"ref": "nemuko/02-make-features", "kernel_id": "22445253"}, {"ref": "vaibhavgupta082/time-series-forecasting-eda-fe-modelling-679c92", "kernel_id": "22667304"}, {"ref": "trenthannack/very-fst-model", "kernel_id": "22026803"}, {"ref": "bernielindner/m5-kaggle-challenge", "kernel_id": "22063682"}, {"ref": "qiwei13/ids-select", "kernel_id": "22186464"}, {"ref": "qiwei13/data-preprocessing", "kernel_id": "22090363"}, {"ref": "qiwei13/deepts-mm", "kernel_id": "22270775"}, {"ref": "devnambudiripad/one-store-fast-model", "kernel_id": "22022890"}, {"ref": "josephtb2/very-fst-model", "kernel_id": "22068329"}, {"ref": "josephtb2/ca-1-one-store-very-fast-model", "kernel_id": "22363679"}, {"ref": "dhameemansar/data-preprocessing-95c44c", "kernel_id": "22188690"}, {"ref": "hashyuki/for-submission-unisys-programming", "kernel_id": "22039248"}, {"ref": "chenyuying1201/lgbm5-try1210", "kernel_id": "22665499"}, {"ref": "smadakshire/very-fst-model", "kernel_id": "22078980"}, {"ref": "okakikeisuke/m5-forecasting-accuracy", "kernel_id": "22163499"}, {"ref": "danielsmetana/daniel-smetana-very-fst-model", "kernel_id": "22067715"}, {"ref": "ericrholland/very-fst-model", "kernel_id": "22120479"}, {"ref": "mohamedabulyusr/assignment-2", "kernel_id": "22197791"}, {"ref": "rdhenkawat/xmd-prediction", "kernel_id": "23887927"}, {"ref": "snehalsaini/xmd-prediction", "kernel_id": "24030325"}, {"ref": "oglangelo/starter-data-exploration-lstm", "kernel_id": "24858358"}, {"ref": "deedeenyc/m5-forecasting-accuracy", "kernel_id": "24866033"}, {"ref": "konradb/ts-4-sales-and-demand-forecasting", "kernel_id": "25175564"}, {"ref": "bhavinmoriya/ts-4-sales-and-demand-forecasting", "kernel_id": "25777499"}, {"ref": "coffeebean09/sales-forecast", "kernel_id": "27718215"}, {"ref": "nguynthng247/baseline-lstm-with-keras-0-7-37d420", "kernel_id": "27310330"}, {"ref": "konradb/ts-8-hierarchical-time-series", "kernel_id": "28744223"}, {"ref": "vi20027804/very-fst-model", "kernel_id": "28980189"}, {"ref": "lucamassaron/m5-train-day-1941-horizon-7", "kernel_id": "29422886"}, {"ref": "lucamassaron/m5-train-day-1941-horizon-14", "kernel_id": "29422902"}, {"ref": "lucamassaron/m5-train-day-1941-horizon-21", "kernel_id": "29422916"}, {"ref": "lucamassaron/m5-train-day-1941-horizon-28", "kernel_id": "29422943"}, {"ref": "lucamassaron/m5-predict-private-leaderboard", "kernel_id": "29464408"}, {"ref": "lucamassaron/m5-train-day-1913-horizon-28", "kernel_id": "29466943"}, {"ref": "lucamassaron/m5-train-day-1913-horizon-21", "kernel_id": "29466954"}, {"ref": "lucamassaron/m5-train-day-1913-horizon-14", "kernel_id": "29466961"}, {"ref": "lucamassaron/m5-train-day-1913-horizon-7", "kernel_id": "29466965"}, {"ref": "lucamassaron/m5-uncertainty-predict-ca-7-0-025", "kernel_id": "29492883"}, {"ref": "lucamassaron/m5-predict-public-leaderboard", "kernel_id": "29605699"}, {"ref": "florencdemrozi/lesson-8-intro-to-time-series-part-2", "kernel_id": "29993922"}, {"ref": "asmaamohy/get-started", "kernel_id": "29392192"}, {"ref": "konradb/ts-11-deep-learning-for-ts-transfer-learning", "kernel_id": "30366804"}, {"ref": "jaideepvalani/m5-forecasting-starter-data-exploration", "kernel_id": "30919599"}, {"ref": "jaideepvalani/m5-train-day-1941-horizon-14-jai", "kernel_id": "30983346"}, {"ref": "asmaamohy/lstm-trial", "kernel_id": "30588529"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "houssemaminetouihri/ts-8-hierarchical-time-series", "kernel_id": "30017282"}, {"ref": "konradb/ts-12-causality", "kernel_id": "31661235"}, {"ref": "leibnizgottfried/es-bu-m5-implementation-exponentialsmoothing", "kernel_id": "31133750"}, {"ref": "jaideepvalani/fork-of-m5-train-day-1941-horizon-14-jai", "kernel_id": "31091934"}, {"ref": "bobiboba/m5-forecast-keras-with-categorical-embeddings-v2", "kernel_id": "31961316"}, {"ref": "bobiboba/m5-forecasting-lightgbm", "kernel_id": "31961404"}, {"ref": "zwhite/eda-and-baseline-model-sarima", "kernel_id": "31516859"}, {"ref": "mdshahbazalam/feature-engineering-1", "kernel_id": "31990876"}, {"ref": "lemuz90/m5-mlforecast-eval", "kernel_id": "32340063"}, {"ref": "jessicasoares/m5-mlforecast-eval", "kernel_id": "32851796"}, {"ref": "bobiboba/simple-model-avg-last-28-days-grouped-by-weekday", "kernel_id": "32226368"}, {"ref": "bobiboba/m5-baseline", "kernel_id": "32040139"}, {"ref": "bobiboba/m5-how-to-get-your-public-lb-score-rank", "kernel_id": "32037895"}, {"ref": "vinhyu/learning-pytorch-lstm-deep-learning-with-m5-data", "kernel_id": "32496405"}, {"ref": "vishank123/eda-on-m5-data-and-forecast-using-various-models", "kernel_id": "33426099"}, {"ref": "unnopparipunnang/m5forecast-california-eda", "kernel_id": "33651984"}, {"ref": "zhengyang112/lightbgm-mlforcast-merge", "kernel_id": "33312407"}, {"ref": "josephnadar/walmart-forecast-eda", "kernel_id": "34740586"}, {"ref": "josephnadar/m5-accuracy-eda-notebook-v1", "kernel_id": "34800484"}, {"ref": "thoraninkaewfu/m5-forecasting-accuracy-eda", "kernel_id": "34884145"}, {"ref": "lucamassaron/m5-aggregations", "kernel_id": "35176953"}, {"ref": "suhasmaddali007/exploratory-data-analysis-eda-m5-competition", "kernel_id": "35861308"}, {"ref": "josephnadar/optuna-hyperparameter", "kernel_id": "35615554"}, {"ref": "josephnadar/m5-model-features", "kernel_id": "35394765"}, {"ref": "yashsonar213/time-series-forecasting-eda-fe-modelling", "kernel_id": "36774231"}, {"ref": "nichakorndechdee/m5-forecasting-data-exploration", "kernel_id": "36367086"}, {"ref": "sleymanemirhanuslu/forecast-reconciliation", "kernel_id": "37016815"}, {"ref": "canerturkseven/forecastflowml-m5-forecasting-accuracy", "kernel_id": "38004992"}, {"ref": "ezwalt/mango-notebook-eda", "kernel_id": "38740061"}, {"ref": "titericz/m5-how-to-get-your-public-lb-score-rank", "kernel_id": "39651346"}, {"ref": "comte1853/m5-data-investigation", "kernel_id": "39538251"}, {"ref": "bharathkumar192/time-series-forecasting-eda-fe-modelling", "kernel_id": "39117142"}, {"ref": "thien1504/m5-improve-model-1", "kernel_id": "39220839"}, {"ref": "thien1504/m5-tuning-hyperparams", "kernel_id": "39531483"}, {"ref": "thien1504/m5-forecasting-eda-vn", "kernel_id": "39630059"}, {"ref": "thien1504/m5-final-model", "kernel_id": "39597576"}, {"ref": "ezwalt/mango-notebook-model", "kernel_id": "39378059"}, {"ref": "el3vul4/sklearn-lightgbm-simple-solution-top-10", "kernel_id": "40512176"}, {"ref": "thien1504/m5-forecasting-eda", "kernel_id": "40538274"}, {"ref": "yashagrawal0089/light-gbm-model-project", "kernel_id": "40936664"}, {"ref": "dhanushekollu/m5-forecasting-dhanush", "kernel_id": "41278440"}, {"ref": "zheyuanfeng/multi-labelled-extratreesregressor", "kernel_id": "41776851"}, {"ref": "samh0ng/walmart-hw", "kernel_id": "41661558"}, {"ref": "moritake04/covid-timeseries-practice", "kernel_id": "42503911"}, {"ref": "jasonatdginnotech/m5-forecasting-accurary", "kernel_id": "42145994"}, {"ref": "maryanalyze/identify-good-hyperparameters-for-sarima-model", "kernel_id": "43597911"}, {"ref": "matteosannia/m5-forecasting-competition", "kernel_id": "43296327"}, {"ref": "maryanalyze/dilated-rnn-pytorch-seq2vec-time-series-forecast", "kernel_id": "44885550"}, {"ref": "maryanalyze/simple-lstm-pytorch-time-series-forecasting-model", "kernel_id": "44040192"}, {"ref": "lemuz90/m5-mlforecast-eval-polars", "kernel_id": "45768755"}, {"ref": "urkoallende/m5-lgbm-improving-top1-solution-p-s-0-51844", "kernel_id": "45052549"}, {"ref": "maryanalyze/encoder-decoder-pytorch-seq2seq-time-series", "kernel_id": "45270752"}, {"ref": "maryanalyze/rnn-with-attention-pytorch-seq2seq-time-series", "kernel_id": "45639521"}, {"ref": "p22mohit/back-to-predict-the-future-interactive-m5-eda", "kernel_id": "45179867"}, {"ref": "maryanalyze/residual-lstm-pytorch-time-series-forecasting", "kernel_id": "46029115"}, {"ref": "machengyuan/light-gbm", "kernel_id": "46908925"}, {"ref": "marceljoda/notebookb2bc23a5df", "kernel_id": "46336722"}, {"ref": "katlehomahlelebe/00-creating-a-sales-report", "kernel_id": "47576482"}, {"ref": "davidnguyens16/learning-pytorch-lstm-deep-learning-with-m5-data", "kernel_id": "47357166"}, {"ref": "samlinfs/m5-accuracy-stable-version", "kernel_id": "47445281"}, {"ref": "batprem/m5fa-eda", "kernel_id": "48849580"}, {"ref": "batprem/m5fa-modeling", "kernel_id": "48883046"}, {"ref": "cc3141/m5-train-day-1941-horizon-7", "kernel_id": "48629800"}, {"ref": "tanakrit/m5-forecasting", "kernel_id": "49098585"}, {"ref": "peerapatngamsanga/m5-forecasting-accuracy", "kernel_id": "49259500"}, {"ref": "rudhirmahalik/final-note-hts", "kernel_id": "50943010"}, {"ref": "parthasarathyram97/m5-competition-darts-model", "kernel_id": "53549382"}, {"ref": "arryuannkhanna123/m5-forecasting-arima-exponential-smoothening-lstm", "kernel_id": "53619216"}, {"ref": "rudhirmahalik/hts-notebook", "kernel_id": "54748903"}, {"ref": "vinayplusj/sales-prediction-through-gradient-boosting", "kernel_id": "57992884"}, {"ref": "soobeom5range/machine-learning-project", "kernel_id": "58172598"}, {"ref": "soobeom5range/preprocessing", "kernel_id": "58960540"}, {"ref": "xiaocc226/m5-forecasting-time-series-analysis", "kernel_id": "58974737"}, {"ref": "soobeom5range/eda-ml", "kernel_id": "59282596"}, {"ref": "ketulsagar/time-series-forecasting-eda-fe-modelling", "kernel_id": "59841646"}, {"ref": "pranav28/time-series-forecasting", "kernel_id": "60777220"}, {"ref": "pranav28/m5-forecasting-arima-exponential-smoothenin-864a41", "kernel_id": "60672821"}, {"ref": "leha28052003/data-exploration", "kernel_id": "60775094"}, {"ref": "yunsuxiaozi/m5-forecasting-top7-study-notebook", "kernel_id": "61769924"}, {"ref": "utsavagar/nd-eda-features-engineering", "kernel_id": "62019329"}, {"ref": "sayantan22p10144/ts-8-hierarchical-time-series", "kernel_id": "62353792"}, {"ref": "apoorvjha63/model-iterations-sparkathon", "kernel_id": "63796896"}, {"ref": "prateek107/time-series-forecasting-eda-fe-modelling", "kernel_id": "64272677"}, {"ref": "marcogorelli/winning-solution-preprocessing", "kernel_id": "65217237"}, {"ref": "faeqsu10/time-series-study", "kernel_id": "65145851"}, {"ref": "faeqsu10/time-series-forecasting-eda-fe-modelling", "kernel_id": "65067533"}, {"ref": "mihir27/notebook31fde58ef9", "kernel_id": "66286700"}, {"ref": "saurabstha5/m5-predictions", "kernel_id": "66645054"}, {"ref": "mihir27/m5-forecasting-eda", "kernel_id": "67350286"}, {"ref": "ploradoaa/m5-week1", "kernel_id": "67832459"}, {"ref": "dreamonm/m5-eda", "kernel_id": "67741607"}, {"ref": "shreyshah181036/m5-forecasting-data-mining-group-21", "kernel_id": "67406679"}, {"ref": "akshatbhardwaj/stat-429-project", "kernel_id": "68116976"}, {"ref": "morvin/dl-ensemble", "kernel_id": "68669445"}, {"ref": "morvin/notebookc8852bb93a", "kernel_id": "68698233"}, {"ref": "yorkyong/m5-forecasting-autogluon-scalability", "kernel_id": "69822262"}, {"ref": "yorkyong/m5-forecasting-autogluon-1series", "kernel_id": "69785904"}, {"ref": "yorkyong/m5-forecasting-baseline-recursive-overall", "kernel_id": "69545225"}, {"ref": "yorkyong/m5-forecasting-baseline-recursive", "kernel_id": "69481663"}, {"ref": "yorkyong/m5-time-series-forecasting-recursive", "kernel_id": "69209222"}, {"ref": "yorkyong/m5-forecasting-lgbm", "kernel_id": "69111242"}, {"ref": "yorkyong/m5-time-series-forecasting-non-recursive", "kernel_id": "69305344"}, {"ref": "yorkyong/m5-forecasting-reperform-a1-solution", "kernel_id": "69277916"}, {"ref": "morvin/ml-ensemble", "kernel_id": "70306539"}, {"ref": "morvin/mathematical-method", "kernel_id": "70309967"}, {"ref": "mukundiyer/timesfm", "kernel_id": "70495240"}, {"ref": "ruxihe/m5-competition-experiment-time-series", "kernel_id": "70781226"}, {"ref": "yorkyong/m5-forecasting-autogluon-m1a5", "kernel_id": "70014033"}, {"ref": "yorkyong/m5-forecasting-recursive-lgbm-lr-2", "kernel_id": "70310387"}, {"ref": "yorkyong/m5-forecasting-direct-lgbm-lr-2", "kernel_id": "70323103"}, {"ref": "feekyl/bigdatafinal", "kernel_id": "70541974"}, {"ref": "iapetus509/20241120-m5-top7p-all", "kernel_id": "71237931"}, {"ref": "steveheyilin/mafs5440-m5-draft", "kernel_id": "71321911"}, {"ref": "hikimua/accuracy-lgbm", "kernel_id": "71455127"}, {"ref": "hkxlxy/mafs5440-sui-wu-fan-hu", "kernel_id": "71807994"}, {"ref": "zheruizhu/m5-forecasting-data-mining-group-21-a080b1", "kernel_id": "72179848"}, {"ref": "xiaochangzhang/5440-project", "kernel_id": "72095178"}, {"ref": "xiaochangzhang/math5440-zhang-zhu-wang-yang", "kernel_id": "72150205"}, {"ref": "hkxlxy/math5440-sui-wu-fan-hu", "kernel_id": "72111523"}, {"ref": "mohanrachumallu/autogloun-dec6-version-2", "kernel_id": "73808059"}, {"ref": "sahithiampolu/autogloun-dec6-version-2", "kernel_id": "73251219"}, {"ref": "realnovice/model-training", "kernel_id": "73477149"}, {"ref": "realnovice/m5-eda", "kernel_id": "74211313"}, {"ref": "andrsulloa/preprocesamiento-transformaci-n-y-limpieza-wal", "kernel_id": "74176912"}, {"ref": "vinhdac/eda-supermarketsales-walmart", "kernel_id": "74122702"}, {"ref": "junshimura/m5-lightgbm-baseline", "kernel_id": "74954286"}, {"ref": "junshimura/for-japanese-beginner-with-wrmsse-in-lgbm", "kernel_id": "77728303"}, {"ref": "yyliu12138/math5470-hu-zhang-ma-liu", "kernel_id": "78740541"}, {"ref": "chuszeyeung/math5470-yeung-project2-1-2", "kernel_id": "79191015"}, {"ref": "dingdingust/m5-forecast-ding-zhang-gao-zhao", "kernel_id": "79056469"}, {"ref": "adrianomarabuco/m5-accuracy-chronos", "kernel_id": "80189543"}, {"ref": "kevinfff/math5470-fan-m5accuracy", "kernel_id": "80209883"}, {"ref": "jacobbattles/notebook24bc9f183c", "kernel_id": "80937937"}, {"ref": "chuszeyeung/math5470-yeung-project2-2-2", "kernel_id": "81311737"}, {"ref": "tejasexpress/ts-8-hierarchical-time-series", "kernel_id": "82150521"}, {"ref": "jacobbattles/lgbm-model", "kernel_id": "82014347"}, {"ref": "kylewhite3/notebook25535084b2", "kernel_id": "83407137"}, {"ref": "wata2005/cs116-trainmodelwithparameter", "kernel_id": "83641834"}, {"ref": "thnhkiutrng/m5-lgbm-fe", "kernel_id": "84267030"}, {"ref": "junshimura/notebook4ae784ec21", "kernel_id": "84063956"}, {"ref": "tranghththanh/forecasting-transformer", "kernel_id": "84827087"}, {"ref": "tranghththanh/forecasting-sarima", "kernel_id": "84840191"}, {"ref": "sunderekkiz/poisson-loss-with-hierarchical-forecasting", "kernel_id": "85473134"}, {"ref": "kristoffwang/m5-hierarchical-forecasting-xgboost", "kernel_id": "85087562"}, {"ref": "kristoffwang/m5-recursive-store-dept-xgboosttrain", "kernel_id": "85703243"}, {"ref": "kristoffwang/m5-recursive-store-cat-train", "kernel_id": "85644995"}, {"ref": "nguyenkhai9710/baovedoandsp305", "kernel_id": "87573943"}, {"ref": "mennahelsheikh/notebookacc1b7c4bd", "kernel_id": "89561867"}, {"ref": "rakeshnaidu2155/sales-prediction-through-gradient-boosting", "kernel_id": "92381546"}, {"ref": "hanviksuruboyina/m5-hierarchical-forecasting-xgboost", "kernel_id": "93357070"}, {"ref": "davidhalim2004/data-cleaning", "kernel_id": "94951766"}, {"ref": "shinkom/20251015-lightbgm-hyperopt-earlystopping", "kernel_id": "95122685"}, {"ref": "rafakrolik/m5-forecasting-accuracy", "kernel_id": "95064433"}, {"ref": "btangak/m5-note-lgbm", "kernel_id": "95734485"}, {"ref": "sunnynguyensanjoseca/multi-horizon-retail-forecasting-tft-inspired", "kernel_id": "96638397"}, {"ref": "esraaaliabuelkhir/depi-project-notebook-updated", "kernel_id": "97149651"}, {"ref": "sealofmapo/sealofmapo", "kernel_id": "97399335"}, {"ref": "shilljinglza/m5-forecasting-accuracy-3", "kernel_id": "99652367"}, {"ref": "tomokazuhonda/20251112", "kernel_id": "99482652"}, {"ref": "marekpawlowski/notebook-m5-accuracy", "kernel_id": "99337726"}, {"ref": "marekpawlowski/notebook-m5-uncertainty", "kernel_id": "99436054"}, {"ref": "tomokazuhonda/foods-3-090", "kernel_id": "100570574"}, {"ref": "dengyunlong123/seq2seq-lstm-m5forecasting", "kernel_id": "101002286"}, {"ref": "sunderekkiz/m5nbeats-version1", "kernel_id": "102352327"}, {"ref": "elvincentonino/forecasting-sales-with-lightgbm-m5-pipeline", "kernel_id": "102273956"}, {"ref": "tomokazuhonda/foods-3-090-3", "kernel_id": "102207259"}, {"ref": "evgendvorkin/m5-forecasting-accuracy", "kernel_id": "106633454"}, {"ref": "uom220178x/prophetandlightbgmrealdata2", "kernel_id": "106780294"}, {"ref": "abolfazluk/m5-store-sales-exploratory-data-analysis", "kernel_id": "108898830"}, {"ref": "vaishnavim2411/m5-competition-eda-models28a91d767d", "kernel_id": "109473380"}, {"ref": "saharteimouri/m5-store-sales-structure-demand-behavior", "kernel_id": "110251663"}, {"ref": "jmsansevero/world-model", "kernel_id": "111283214"}, {"ref": "vedantmishra17/m5-forecasting", "kernel_id": "112092916"}, {"ref": "dtleminh/project-tabular-data", "kernel_id": "112117086"}, {"ref": "khuevo098/m5-competition-benchmark", "kernel_id": "114846636"}, {"ref": "kefir999/vkr-dyakov", "kernel_id": "115564702"}, {"ref": "kushpatel7391/shelfmind-ai", "kernel_id": "115293392"}, {"ref": "ffftory/forecasting-demand", "kernel_id": "116526439"}, {"ref": "arshdeepsinghj/notebooka503ced204", "kernel_id": "120354907"}, {"ref": "suvritsharma/m5-eda", "kernel_id": "121686584"}, {"ref": "iamdebasishdas/m5-forcasting", "kernel_id": "121914070"}, {"ref": "yassirdev1/m5-forecasting-starter-data-exploration", "kernel_id": "121336493"}, {"ref": "mvillarreal03/bi-log-stico-optimizaci-n-eoq-walmart", "kernel_id": "122686635"}, {"ref": "mvillarreal03/bi-logistics-eoq-optimization-walmart", "kernel_id": "122761886"}, {"ref": "sagarsharmafeb87/m5-retail-demand-forecasting-xgboost", "kernel_id": "125206708"}, {"ref": "nikolaykrd/notebookf93ac3f4b2", "kernel_id": "125538432"}, {"ref": "mdshafayeturrahman/m5-forecasting-accuracy-end-to-end-pipeline", "kernel_id": "126126487"}, {"ref": "akshayshegde/aml-3", "kernel_id": "128231831"}, {"ref": "akshayshegde/autogluon", "kernel_id": "128263054"}, {"ref": "ramonroldan/m5-demand-planning-with-machine-learning", "kernel_id": "129744368"}, {"ref": "chrisolande/autogluon", "kernel_id": "129674644"}, {"ref": "manishk5/demand-forcasting-and-inventory-planning", "kernel_id": "130075109"}, {"ref": "nishabrittolinxi/preprocessing-5yrs", "kernel_id": "130903136"}, {"ref": "shrinithimahalakshmi/preprocesing", "kernel_id": "130894305"}, {"ref": "saravanapriyanc/cognizant", "kernel_id": "130745248"}, {"ref": "nisadikmen/notebook80e1f55f68", "kernel_id": "130316986"}, {"ref": "huhaojia/m5-forecasting-accuracy", "kernel_id": "133771933"}, {"ref": "jmsansevero/m5-causal-timesfm-world-model", "kernel_id": "134545447"}, {"ref": "daoviet/m5-accuracy-baseline-xgboost", "kernel_id": "134958364"}, {"ref": "daoviet/m5-accuracy-baseline-lgbm", "kernel_id": "134833800"}, {"ref": "botkiller78000/times-fm-2-5", "kernel_id": "134047910"}, {"ref": "pankajmaury/walmart-retail-goods-m5-forecasting-accuracy", "kernel_id": "134805067"}, {"ref": "danielamarcello/notebookb7b95e7f63", "kernel_id": "134289376"}, {"ref": "botkiller78000/lstmgpu", "kernel_id": "135816051"}, {"ref": "botkiller78000/arima", "kernel_id": "135778016"}, {"ref": "botkiller78000/light-gbm", "kernel_id": "135978641"}, {"ref": "botkiller78000/times-fm-3-0-zero-shot", "kernel_id": "135493034"}, {"ref": "botkiller78000/times-fm-2-5-zero-shot", "kernel_id": "135490143"}, {"ref": "salsabilaharjanto/m5-playbook", "kernel_id": "136494140"}]}
{"competition_id": "18600", "kernels": [{"ref": "jpmiller/skmem", "kernel_id": "6074949"}, {"ref": "konradb/beating-the-benchmark", "kernel_id": "8533004"}, {"ref": "konradb/beat-the-benchmark-snaive", "kernel_id": "8756351"}, {"ref": "robertburbidge/lightgbm-quantiles", "kernel_id": "8691228"}, {"ref": "robertburbidge/lightgbm-gamma", "kernel_id": "8537453"}, {"ref": "robertburbidge/lightgbm-poisson-w-scaled-pinball-loss", "kernel_id": "8549556"}, {"ref": "timib1203/time-series-clustering-for-forecasting-preparation", "kernel_id": "8388519"}, {"ref": "allunia/m5-sales-uncertainty-prediction", "kernel_id": "8790218"}, {"ref": "belov38/bykkliller", "kernel_id": "8817835"}, {"ref": "sachina/convert-accuracy-to-uncertainty-poisson", "kernel_id": "8726503"}, {"ref": "sachina/building-aggregate-time-series", "kernel_id": "8683112"}, {"ref": "robikscube/m5-forecasting-starter-data-exploration", "kernel_id": "8226214"}, {"ref": "lauser/reproducing-benchmarks-starter-kernel", "kernel_id": "8725033"}, {"ref": "jagannathrk/from-point-to-uncertainty-prediction", "kernel_id": "8889291"}, {"ref": "anuraglahon/m5-forcasting", "kernel_id": "8226721"}, {"ref": "headsortails/back-to-predict-the-future-interactive-m5-eda", "kernel_id": "8225983"}, {"ref": "grapestone5321/m5-forecasting-uncertainty-sample-submission", "kernel_id": "8288476"}, {"ref": "shaitender/forked-from-point-to-uncertainty", "kernel_id": "8978542"}, {"ref": "kneroma/from-point-to-uncertainty-prediction", "kernel_id": "8789625"}, {"ref": "szmnkrisz97/point-to-uncertainty-different-ranges-per-level", "kernel_id": "8906021"}, {"ref": "szmnkrisz97/simple-quantiles-of-training-set", "kernel_id": "8619000"}, {"ref": "nirmalnk/m5-predictions", "kernel_id": "8390711"}, {"ref": "ghaiyur/coefficient-multiplier", "kernel_id": "8771441"}, {"ref": "akashsuper2000/quantiles-w-custom-loss-func-124a74", "kernel_id": "8686321"}, {"ref": "akashsuper2000/quantiles-w-custom-loss-func", "kernel_id": "8667949"}, {"ref": "akashsuper2000/from-point-to-uncertainty-prediction", "kernel_id": "8894861"}, {"ref": "akashsuper2000/simple-quantiles-of-training-set", "kernel_id": "8894881"}, {"ref": "holoong9291/eda-for-m5-2-en", "kernel_id": "8233267"}, {"ref": "steverab/m5-forecast-compet-uncert-gluonts-template", "kernel_id": "8465988"}, {"ref": "hotton/m5-uncertainty-simply-by-weekday-distribution", "kernel_id": "8989016"}, {"ref": "nxrprime/coefficient-multiplier", "kernel_id": "8642246"}, {"ref": "resist/m5-prep", "kernel_id": "8863636"}, {"ref": "rohanrao/m5-the-weighing-scale", "kernel_id": "9954377"}, {"ref": "lilsummer877/attempt-to-use-bayesian-to-estimate-uncertainty", "kernel_id": "9465642"}, {"ref": "kitangladmatu/scripts-for-baseline-models", "kernel_id": "9078804"}, {"ref": "ulrich07/quantile-regression-with-keras", "kernel_id": "9991441"}, {"ref": "tanmoyie/m5-forecasting-optimizing-neural-network", "kernel_id": "9961770"}, {"ref": "akashsuper2000/point-to-uncertainty-different-ranges-per-level", "kernel_id": "9025336"}, {"ref": "akashsuper2000/point-to-uncertainty-different-ranges", "kernel_id": "9146057"}, {"ref": "chrisrichardmiles/m5-helpers", "kernel_id": "9713381"}, {"ref": "chrisrichardmiles/m5u-wsplevaluator-weighted-scaled-pinball-loss", "kernel_id": "9897248"}, {"ref": "vajjalavikram/gan-basics", "kernel_id": "9366001"}, {"ref": "jafarib/uncertainty-only-solve", "kernel_id": "9143476"}, {"ref": "olafko/m5-uncertainty-prediction-lstm-nn", "kernel_id": "9735309"}, {"ref": "olafko/m5-uncertainty-prediction-lstm-nn-feature-embedd", "kernel_id": "9907619"}, {"ref": "denisemeerkerk/reproducing-arima-benchmark-1yr-slice", "kernel_id": "9784149"}, {"ref": "denisemeerkerk/fork-of-reproducing-arima-benchmark-4yr-slice", "kernel_id": "9796778"}, {"ref": "andrewcameronsmith/introduction-to-scaled-pinball-loss", "kernel_id": "9821827"}, {"ref": "pratikbarua/m5-sales-uncertainty-prediction", "kernel_id": "9996085"}, {"ref": "lucijaaher/kernel795edce6c7", "kernel_id": "9907375"}, {"ref": "ouranos/point-to-uncertainty-v2", "kernel_id": "10196205"}, {"ref": "deepaksadulla/how-to-create-all-aggregations-easily", "kernel_id": "10351057"}, {"ref": "yolandadlh/ml-model-m5uncertainty", "kernel_id": "10412747"}, {"ref": "mpware/quantile-regression-cv3-tf", "kernel_id": "10084105"}, {"ref": "iamprateek/finding-uncertainty-sales", "kernel_id": "10172713"}, {"ref": "kamalnaithani/m5uncertainity-score", "kernel_id": "10206700"}, {"ref": "kamalnaithani/m5uncertainity-total-gradient-boosting", "kernel_id": "10314887"}, {"ref": "kamalnaithani/m5unceratinityadddata", "kernel_id": "10133335"}, {"ref": "matts966/point-to-uncertainty-for-private", "kernel_id": "10416428"}, {"ref": "ulrich07/do-not-write-off-rnn-cnn", "kernel_id": "10289380"}, {"ref": "ulrich07/details-of-walmart-add-dataset-construction", "kernel_id": "10029114"}, {"ref": "ulrich07/parallel-linear-regression-silver-medal-v1", "kernel_id": "10152795"}, {"ref": "kneroma/fast-wsp-loss-implementation-5s", "kernel_id": "10318391"}, {"ref": "idhamtelco/model-predictions", "kernel_id": "10087857"}, {"ref": "roydatascience/silver-medal-solution-stacking-m5-submissions", "kernel_id": "10427936"}, {"ref": "akashsuper2000/concatenate-model-with-grus", "kernel_id": "10345202"}, {"ref": "akashsuper2000/m5uncertainity-score", "kernel_id": "10374041"}, {"ref": "akashsuper2000/fast-wsp-loss-implementation-5s", "kernel_id": "10377424"}, {"ref": "liaowenxiong/m5uncertainity", "kernel_id": "10341402"}, {"ref": "mahmudds/m5-forecasting-uncertainty", "kernel_id": "10414223"}, {"ref": "yujiariyasu/point-to-uncertainty-for-private", "kernel_id": "10363521"}, {"ref": "prakash711/from-point-to-uncertainty-prediction", "kernel_id": "10192879"}, {"ref": "marcoroosken/arima-benchmark-4yr-slice-w-regressors", "kernel_id": "10059228"}, {"ref": "denisemeerkerk/fork-of-fork-of-f-repro-arima-bench-3yr-slice", "kernel_id": "10075147"}, {"ref": "denisemeerkerk/fork-of-fork-of-f-repro-arima-bench-2yr-slice", "kernel_id": "10075197"}, {"ref": "denisemeerkerk/fork-of-f-repro-arima-bench-appox-5yr-slice", "kernel_id": "10074843"}, {"ref": "akashmathur2212/comprehensive-data-visualization-m5-eda", "kernel_id": "11948113"}, {"ref": "marisakamozz/m5-prophet", "kernel_id": "13121498"}, {"ref": "beezus666/m5-uncertainty-overview", "kernel_id": "18433463"}, {"ref": "wpppj001/m5-uncertainty-prediction-lstm-nn-feature-embedd", "kernel_id": "21954532"}, {"ref": "konradb/ts-4-sales-and-demand-forecasting", "kernel_id": "25175564"}, {"ref": "lucamassaron/m5-uncertainty-predict-ca-7-0-025", "kernel_id": "29492883"}, {"ref": "lucamassaron/m5-uncertainty-predict-quantile-with-gcp", "kernel_id": "29603152"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "matteosannia/m5-forecasting-competition", "kernel_id": "43296327"}, {"ref": "p22mohit/back-to-predict-the-future-interactive-m5-eda", "kernel_id": "45179867"}, {"ref": "hikimua/uncertainty-directly-obtain-quantiles-from-points", "kernel_id": "71468749"}, {"ref": "hikimua/uncertainty-deep-quantile-regression", "kernel_id": "71835684"}, {"ref": "hkxlxy/math5440-sui-wu-fan-hu-uncertainty", "kernel_id": "71956263"}, {"ref": "xiaochangzhang/math5440-zhang-zhu-wang-yang-uncertainty", "kernel_id": "72240652"}, {"ref": "kevinfff/math5470-fan-m5uncertainty", "kernel_id": "80229488"}, {"ref": "marekpawlowski/notebook-m5-uncertainty", "kernel_id": "99436054"}, {"ref": "tungdang1108/sales-forecast-probabilistic-eda-ml", "kernel_id": "105700213"}]}
{"competition_id": "18601", "kernels": [{"ref": "corochann/2020-ncaa-eda-all-files-explained", "kernel_id": "7995295"}, {"ref": "code1110/ncaam20-eda-and-nn-lgb-catb-starter", "kernel_id": "7993081"}, {"ref": "robikscube/2020-march-madness-data-first-look-eda", "kernel_id": "7976826"}, {"ref": "artgor/march-madness-2020-ncaam-eda-and-baseline", "kernel_id": "7982339"}, {"ref": "headsortails/jump-shot-to-conclusions-march-madness-eda", "kernel_id": "7977635"}, {"ref": "jaseziv83/moreyball-in-the-college-game-a-full-ncaa-eda", "kernel_id": "7990773"}, {"ref": "ricardo13/ncaam2020-baseline-with-xgb-lgb-blending", "kernel_id": "7990151"}, {"ref": "hiromoon166/2020-basic-starter-kernel", "kernel_id": "7979510"}, {"ref": "tenffe/autogluon-for-basic-data-process", "kernel_id": "7983412"}, {"ref": "ratan123/march-madness-2020-ncaam-simple-lightgbm-on-kfold", "kernel_id": "7985375"}, {"ref": "khoongweihao/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "7990667"}, {"ref": "holoong9291/eda-for-ncaa-march-madness-en-just-for-men", "kernel_id": "7991974"}, {"ref": "chariots17/predicting-with-dnn-xgboost-tensorflow", "kernel_id": "7994061"}, {"ref": "igormacgregor/2020-march-madness-extensive-eda", "kernel_id": "7985212"}, {"ref": "nxrprime/march-madness-2020-ncaam-simple-lightgbm-on-kfold", "kernel_id": "7990996"}, {"ref": "nxrprime/right-left-shoot-march-madness-eda-and-analysis", "kernel_id": "7977864"}, {"ref": "domoldo/ncaa-logistic-regression-example-gmu-kaggle-club", "kernel_id": "8181864"}, {"ref": "christoffer/regional-vs-overall-seeds-and-full-named-list", "kernel_id": "8133992"}, {"ref": "christoffer/overall-seed-diffs-vs-score-diffs-win-probs", "kernel_id": "8136527"}, {"ref": "christoffer/simple-k-optimized-elo-model", "kernel_id": "8166252"}, {"ref": "ben519/professor-data-cleaning-and-modeling", "kernel_id": "8356503"}, {"ref": "jrichie/march-madness-2020", "kernel_id": "8269755"}, {"ref": "scirpus/not-another-genetic-program", "kernel_id": "8132612"}, {"ref": "scirpus/mother-of-all-gp", "kernel_id": "8165286"}, {"ref": "scirpus/complex-secret-sauce", "kernel_id": "8164177"}, {"ref": "scirpus/secret-sauce", "kernel_id": "8162934"}, {"ref": "omniactio/starter-logistic-regression", "kernel_id": "8192867"}, {"ref": "nop287/evaluate-and-compare-your-submission", "kernel_id": "8015677"}, {"ref": "jtrotman/blend-ncaam-with-2020-vision", "kernel_id": "8241549"}, {"ref": "jpmiller/creating-a-good-analytics-report", "kernel_id": "8018097"}, {"ref": "tnmasui/ncaaw-2020-lgb-w-fe-on-three-datasets", "kernel_id": "8212330"}, {"ref": "tnmasui/ncaam-2020-lgb-w-fe-on-three-datasets", "kernel_id": "8210334"}, {"ref": "ash16win/march-madness-ensemble-h2o-xgboost-and-gbm", "kernel_id": "8158539"}, {"ref": "corochann/2020-ncaam-fast-data-loading-with-feather", "kernel_id": "8185420"}, {"ref": "paulorzp/kenpom-scraper-2021", "kernel_id": "8033764"}, {"ref": "code1110/ncaam20-finally-no-leak-starter", "kernel_id": "8085813"}, {"ref": "robikscube/ncaa-basketball-court-plot-helper-functions", "kernel_id": "8053642"}, {"ref": "maniceet/ken-pom-data", "kernel_id": "8025516"}, {"ref": "byfone/ncaa-m-lightgbm", "kernel_id": "8385569"}, {"ref": "jagannathrk/2020-march-madness-analytics", "kernel_id": "8321339"}, {"ref": "jollibobert/ncaam2020-logistic-regression-baseline-cv-0-55", "kernel_id": "8121881"}, {"ref": "takaishikawa/no-ml-modeling-ncaam2020", "kernel_id": "8100893"}, {"ref": "marginalreturns/ncaam20-model-selection-and-testing", "kernel_id": "8046734"}, {"ref": "marginalreturns/create-training-set-with-four-factor-stats", "kernel_id": "8010514"}, {"ref": "megalphian/using-per-to-calculate-the-better-match-up", "kernel_id": "8194890"}, {"ref": "anshumoudgil/games-strategy-ideas-from-eda", "kernel_id": "8073041"}, {"ref": "jaseziv83/applying-pythagorean-expectation-to-major-sports", "kernel_id": "8186773"}, {"ref": "dswartwout/partially-fix-event-files", "kernel_id": "8199499"}, {"ref": "dswartwout/eliminate-garbage-time", "kernel_id": "8194513"}, {"ref": "grapestone5321/ml-competition-2020-ncaam-sample-submission", "kernel_id": "8340156"}, {"ref": "lucabasa/are-men-s-and-women-s-tournaments-different", "kernel_id": "8000566"}, {"ref": "kamalnaithani/ncaa-model-no-leaks-simple-random-forest-model", "kernel_id": "8165598"}, {"ref": "miklgr500/bayesian-neural-network-in-keras-ncaam", "kernel_id": "8303223"}, {"ref": "miklgr500/keras-nn", "kernel_id": "8009038"}, {"ref": "latimerb/2020-model-comparison-no-leak-submission", "kernel_id": "8034043"}, {"ref": "yililu/acg-march-madness", "kernel_id": "8437625"}, {"ref": "isaacrlee/google-cloud-ncaa-ml-competition-2020-ncaam", "kernel_id": "8126236"}, {"ref": "cedricdamien/premier-kernel-exemple-jordy", "kernel_id": "8271152"}, {"ref": "jonbown/2020-march-madness-simple-rnn", "kernel_id": "8324494"}, {"ref": "mika30/madness-at-home-and-on-the-court-part-2", "kernel_id": "8931218"}, {"ref": "bsherman10/ncaa-march-madness-2020", "kernel_id": "8210356"}, {"ref": "vbmokin/mm-ncaam-no-leaks-lgb-xgb-logreg", "kernel_id": "8053294"}, {"ref": "viki98/statistiques-descriptives-ncaaw", "kernel_id": "8131032"}, {"ref": "revanthrex/2020-ncaa-eda-score-0-000", "kernel_id": "8132680"}, {"ref": "revanthrex/mm-2020-ncaam-lgb-xgb-logreg-tuning-merging", "kernel_id": "8144269"}, {"ref": "revanthrex/march-madness-2020-ncaam-simple-lightgbm-on-kfold", "kernel_id": "8276378"}, {"ref": "werooring/eda-for-ncaa-march-madness", "kernel_id": "8062828"}, {"ref": "davelo12/evaluating-538-probabilities-for-march-madness", "kernel_id": "8286865"}, {"ref": "hvillacorte/google-ncaam-baketball-tournament-2020-xgboost", "kernel_id": "8198513"}, {"ref": "hvillacorte/google-ncaam-baketball-tournament-2020-catboost", "kernel_id": "8144474"}, {"ref": "tiamow/kernel", "kernel_id": "8229398"}, {"ref": "yassinehamdaoui1/tournament-seeds-logistic-regression-cv", "kernel_id": "8369087"}, {"ref": "tovvelie/simple-seed-based-model", "kernel_id": "8071879"}, {"ref": "santohide/my-first-gbdt", "kernel_id": "8187632"}, {"ref": "thduik/kernel2298dd9715", "kernel_id": "8034952"}, {"ref": "vikassingh1996/ncaa-march-madness-exploratory-analysis-fe", "kernel_id": "8010314"}, {"ref": "jarnel/clipping-spline-experiment-on-test-predictions", "kernel_id": "8067852"}, {"ref": "warkingleo2000/eda-with-sparse-matrix", "kernel_id": "8005170"}, {"ref": "kmatsuyama/to-avoid-overfitting-ensemble-with-trueskill", "kernel_id": "8179034"}, {"ref": "hideshoyama/google-cloud-ncaa-ml-competition-2020-ncaam", "kernel_id": "8469131"}, {"ref": "catadanna/delete-leaked-from-training-ncaam-ncaaw-stage1", "kernel_id": "8108486"}, {"ref": "catadanna/ml-competition-2020-ncaam-my-solution", "kernel_id": "8404625"}, {"ref": "lorenzodenisi/ncaam-prediction-with-overall-rankings-and-dnn", "kernel_id": "8221058"}, {"ref": "nickteim/google-cloud-simple-model", "kernel_id": "8326241"}, {"ref": "gyanendradas/xgboost-train-0-44", "kernel_id": "8372734"}, {"ref": "adarshsng/march-madness-2020-ncaam-simple-dnn-with-sk-fold", "kernel_id": "8292317"}, {"ref": "santhoshchakilam/google-cloud-ncaa-ml-predictions", "kernel_id": "8504546"}, {"ref": "stroudd/2019-march-madness", "kernel_id": "8172195"}, {"ref": "invisibl3hand/last-second-ncaat", "kernel_id": "8285257"}, {"ref": "fujine/2020-03-10-ncaam", "kernel_id": "8327652"}, {"ref": "fujine/2020-03-09-ncaam", "kernel_id": "8313389"}, {"ref": "fujine/2020-03-13-ncaam", "kernel_id": "8376594"}, {"ref": "fujine/2020-03-11-ncaam", "kernel_id": "8342651"}, {"ref": "ajinkxa/feature-engineering-more-in-game-stats", "kernel_id": "8325623"}, {"ref": "chikudev/measure-your-score-by-logloss", "kernel_id": "8314528"}, {"ref": "ysanojpn/2020-ncaa-mw", "kernel_id": "8067081"}, {"ref": "luisvivas/ncaa-luis", "kernel_id": "8256821"}, {"ref": "lucachuang/nitin-luca-dib-gang", "kernel_id": "8210448"}, {"ref": "shettysaanvi/jump-shot-to-conclusions-sanvi-march-madness-eda", "kernel_id": "8177664"}, {"ref": "anshumoudgil/basketball-2020-vectors-feature-engg-strategy", "kernel_id": "9194709"}, {"ref": "rsa013/ncaa-team-embeddings", "kernel_id": "9290092"}, {"ref": "akashsuper2000/basketball-the-eda", "kernel_id": "9207979"}, {"ref": "chris4lilv/march-madness", "kernel_id": "9801881"}, {"ref": "emimis/madness-at-home-and-on-the-court-part-1", "kernel_id": "9198111"}, {"ref": "yaoosheng/ncaaexercise", "kernel_id": "10147046"}, {"ref": "jojo7zhou/ncaa-exercise", "kernel_id": "10126083"}, {"ref": "tnmasui/ncaam-2021-lgb-w-fe-on-three-datasets", "kernel_id": "15164698"}, {"ref": "marginalreturns/create-training-set-with-four-factor-stats-2021", "kernel_id": "15460055"}, {"ref": "ashrafkhan94/march-madness-eda-baseline-lgb-xgb-etc", "kernel_id": "15972404"}, {"ref": "maxkang/business-analytics-and-applications-midterm-proj", "kernel_id": "16177970"}, {"ref": "vincentaudigier/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "17858446"}, {"ref": "selvadharani/day-25", "kernel_id": "20180984"}, {"ref": "selvadharani/days-29", "kernel_id": "20180985"}, {"ref": "thbalaji/day-26", "kernel_id": "20341674"}, {"ref": "josephguidi/2020-march-madness-data-first-look-eda", "kernel_id": "36825082"}]}
{"competition_id": "18602", "kernels": [{"ref": "parulpandey/decoding-march-madness", "kernel_id": "7997559"}, {"ref": "robikscube/2020-march-madness-data-first-look-eda", "kernel_id": "7976826"}, {"ref": "a45632/2020-starter-kernel-women-improved", "kernel_id": "7981323"}, {"ref": "hiromoon166/2020-women-s-starter-kernel", "kernel_id": "7980891"}, {"ref": "holoong9291/eda-for-ncaa-march-madness-en-only-for-women", "kernel_id": "7992020"}, {"ref": "cmougan/basic-kernel-with-catboost-no-tunning", "kernel_id": "7981809"}, {"ref": "chariots17/artificial-nerual-network-keras", "kernel_id": "7995656"}, {"ref": "igormacgregor/2020-march-madness-extensive-eda", "kernel_id": "7985212"}, {"ref": "christoffer/simple-k-optimized-elo-model-ncaaw", "kernel_id": "8167258"}, {"ref": "scirpus/last-year-plus-mens-gp", "kernel_id": "8178582"}, {"ref": "omniactio/logistic-regression-with-2018-2019-lb-comparison", "kernel_id": "8196121"}, {"ref": "jtrotman/blend-ncaaw-with-2020-vision", "kernel_id": "8241551"}, {"ref": "jpmiller/creating-a-good-analytics-report", "kernel_id": "8018097"}, {"ref": "tnmasui/ncaaw-2020-lgb-w-fe-on-three-datasets", "kernel_id": "8212330"}, {"ref": "corochann/2020-ncaaw-fast-data-loading-with-feather", "kernel_id": "8192351"}, {"ref": "code1110/ncaaw20-eda-and-nn-lgb-catb-starter", "kernel_id": "8016864"}, {"ref": "code1110/ncaaw20-finally-no-leak-starter-with-lgb", "kernel_id": "8084358"}, {"ref": "robikscube/ncaa-basketball-court-plot-helper-functions", "kernel_id": "8053642"}, {"ref": "byfone/ncaa-w-linear-regression", "kernel_id": "8385417"}, {"ref": "jagannathrk/2020-march-madness-analytics", "kernel_id": "8321339"}, {"ref": "worldkeeping/explore-leakage-fix-validation-and-lb-scores", "kernel_id": "8108797"}, {"ref": "takaishikawa/no-ml-modeling-ncaaw2020", "kernel_id": "8087017"}, {"ref": "anshumoudgil/games-strategy-ideas-from-eda", "kernel_id": "8073041"}, {"ref": "jaseziv83/applying-pythagorean-expectation-to-major-sports", "kernel_id": "8186773"}, {"ref": "lucabasa/are-men-s-and-women-s-tournaments-different", "kernel_id": "8000566"}, {"ref": "kamalnaithani/ncaa-w-no-leaks-simple-random-forest-model", "kernel_id": "8249926"}, {"ref": "miklgr500/keras-nn-ncaaw", "kernel_id": "8332826"}, {"ref": "miklgr500/bayesian-neural-network-in-keras-ncaaw", "kernel_id": "8303877"}, {"ref": "sakana/simple-feature-enginering-with-lightgbm", "kernel_id": "8045032"}, {"ref": "mika30/madness-at-home-and-on-the-court-part-2", "kernel_id": "8931218"}, {"ref": "hamditarek/ncaaw20-eda-and-nn-lgb-catb-starter-7c65f8", "kernel_id": "8079138"}, {"ref": "khoongweihao/ncaaw2020-lightgbm-k-fold-on-fire-viz", "kernel_id": "8082740"}, {"ref": "vbmokin/mm-ncaaw-lgb-xgb-regr", "kernel_id": "8310908"}, {"ref": "jeansvy/2020-march-madness-ncaaw-feature-engineering", "kernel_id": "8339090"}, {"ref": "viki98/statistiques-descriptives-ncaaw", "kernel_id": "8131032"}, {"ref": "johnt666/no-leaks-what-do-you-think", "kernel_id": "8094832"}, {"ref": "chariots17/using-xgboost-lgb-to-predict", "kernel_id": "8009069"}, {"ref": "turksoyomer/first-look-on-teams-and-cities", "kernel_id": "8089912"}, {"ref": "vikassingh1996/ncaa-march-madness-exploratory-analysis-fe", "kernel_id": "8010314"}, {"ref": "anushakarthik1991/exploratory-analysis-lgb-ncaa-march-madness", "kernel_id": "8277500"}, {"ref": "mrboupp/first-submission-using-lightgbm", "kernel_id": "8315903"}, {"ref": "mrboupp/eda-for-ncaaw20", "kernel_id": "8287127"}, {"ref": "catadanna/ml-competition-2020-ncaaw-my-solution", "kernel_id": "8406213"}, {"ref": "immvab/nn-starter-tensorflow", "kernel_id": "8012595"}, {"ref": "ysanojpn/2020-ncaa-mw", "kernel_id": "8067081"}, {"ref": "darwinwin/ncaaw20-eda-and-nn-lgb-catb-starter-7c65f8", "kernel_id": "8192805"}, {"ref": "darwinwin/ncaaw2020-lightgbm-k-fold-on-fire-viz", "kernel_id": "8192807"}, {"ref": "darwinwin/ncaaw20-eda-and-nn-lgb-catb-starter", "kernel_id": "8191645"}, {"ref": "anshumoudgil/basketball-2020-vectors-feature-engg-strategy", "kernel_id": "9194709"}, {"ref": "akashsuper2000/basketball-the-eda", "kernel_id": "9207979"}, {"ref": "akashsuper2000/the-march-madness", "kernel_id": "9208065"}, {"ref": "tnmasui/ncaaw-2021-lgb-w-fe-on-three-datasets", "kernel_id": "15164877"}, {"ref": "maxkang/business-analytics-and-applications-midterm-proj", "kernel_id": "16177970"}, {"ref": "josephguidi/2020-march-madness-data-first-look-eda", "kernel_id": "36825082"}]}
{"competition_id": "18603", "kernels": [{"ref": "parulpandey/decoding-march-madness", "kernel_id": "7997559"}, {"ref": "robikscube/2020-march-madness-data-first-look-eda", "kernel_id": "7976826"}, {"ref": "sampath1310/march-madness-eda", "kernel_id": "7977245"}, {"ref": "headsortails/jump-shot-to-conclusions-march-madness-eda", "kernel_id": "7977635"}, {"ref": "jaseziv83/moreyball-in-the-college-game-a-full-ncaa-eda", "kernel_id": "7990773"}, {"ref": "tayyabali55/data-exploration-for-men-s-ncaa-in-detail", "kernel_id": "7977981"}, {"ref": "bcantt/ncaa-march-madness-starter-analysis", "kernel_id": "7982448"}, {"ref": "holoong9291/eda-for-ncaa-march-madness-en", "kernel_id": "7979210"}, {"ref": "igormacgregor/2020-march-madness-extensive-eda", "kernel_id": "7985212"}, {"ref": "nxrprime/right-left-shoot-march-madness-eda-and-analysis", "kernel_id": "7977864"}, {"ref": "nop287/evaluate-and-compare-your-submission", "kernel_id": "8015677"}, {"ref": "jpmiller/creating-a-good-analytics-report", "kernel_id": "8018097"}, {"ref": "btesch/ncaa-at-large-selection-and-seeding-automation", "kernel_id": "8998625"}, {"ref": "robikscube/ncaa-basketball-court-plot-helper-functions", "kernel_id": "8053642"}, {"ref": "robikscube/march-madness-2020-sports-reference-com-scrape", "kernel_id": "8842598"}, {"ref": "jagannathrk/decoding-march-madness-analytics", "kernel_id": "8020467"}, {"ref": "jagannathrk/2020-march-madness-analytics", "kernel_id": "8321339"}, {"ref": "anshumoudgil/games-strategy-ideas-from-eda", "kernel_id": "8073041"}, {"ref": "jaseziv83/applying-pythagorean-expectation-to-major-sports", "kernel_id": "8186773"}, {"ref": "niyamatalmass/an-analysis-of-cinderellas-in-ncaa", "kernel_id": "8938310"}, {"ref": "lucabasa/are-men-s-and-women-s-tournaments-different", "kernel_id": "8000566"}, {"ref": "lucabasa/quantify-the-madness-a-study-of-competitiveness", "kernel_id": "8931895"}, {"ref": "efehandanisman/competitiveness-in-ncaa-and-european-competitions", "kernel_id": "8091090"}, {"ref": "mobasshir/creating-a-good-analytics-report", "kernel_id": "8463573"}, {"ref": "alexkaechele/hypothetical-march-madness-2020-rankings", "kernel_id": "8693922"}, {"ref": "hmtessier/what-makes-a-second-half-team", "kernel_id": "8635191"}, {"ref": "mika30/madness-at-home-and-on-the-court-part-2", "kernel_id": "8931218"}, {"ref": "viki98/statistiques-descriptives-ncaaw", "kernel_id": "8131032"}, {"ref": "yubiabia98/a-3d-look-of-ncaa-games-and-teams", "kernel_id": "8346691"}, {"ref": "winston56/the-two-team-factor-gender-in-march-madness", "kernel_id": "8867290"}, {"ref": "mojopriest/ok-boomer-and-sooner-march-madness-mascots", "kernel_id": "8303136"}, {"ref": "josheiland17/ncaa-notebook", "kernel_id": "8586167"}, {"ref": "vikassingh1996/ncaa-march-madness-exploratory-analysis-fe", "kernel_id": "8010314"}, {"ref": "mobinmirarab/google-cloud-ncaa", "kernel_id": "8342709"}, {"ref": "ranjithks/ran-ncaa-march-madness-2020", "kernel_id": "8021054"}, {"ref": "kidnaps/space-time-advantage-march-madness-eda", "kernel_id": "8980993"}, {"ref": "anzhemeng/ncaa-madness-analytics", "kernel_id": "8912904"}, {"ref": "harrycheng5/little-insight-from-2003-to-2020", "kernel_id": "8617597"}, {"ref": "shettysaanvi/jump-shot-to-conclusions-sanvi-march-madness-eda", "kernel_id": "8177664"}, {"ref": "akeemajede/ncaa-the-ladies-arena", "kernel_id": "8827068"}, {"ref": "tnovit/ncaa-march-madness-analytics", "kernel_id": "9136228"}, {"ref": "tnovit/ncaa-madness", "kernel_id": "9137456"}, {"ref": "tnovit/ncaa-functions", "kernel_id": "9137746"}, {"ref": "tnovit/court-plot", "kernel_id": "9137144"}, {"ref": "robikscube/redefining-ncaa-basketball-positions-using-data", "kernel_id": "9207598"}, {"ref": "robikscube/rob-s-march-madness-2020-data-prep", "kernel_id": "9173957"}, {"ref": "hangu5/ncaa-notebook", "kernel_id": "9197313"}, {"ref": "anshumoudgil/basketball-2020-vectors-feature-engg-strategy", "kernel_id": "9194709"}, {"ref": "hsatasmaz/march-madness-analytics", "kernel_id": "9025679"}, {"ref": "artvolgin/network-approach-to-basketball-analytics", "kernel_id": "9198915"}, {"ref": "qztliu/how-to-enter-the-madness", "kernel_id": "9072612"}, {"ref": "javifer/the-subtle-art-of-winning-march-madness", "kernel_id": "9084526"}, {"ref": "javifer/advanced-stats", "kernel_id": "9084874"}, {"ref": "akashsuper2000/basketball-the-eda", "kernel_id": "9207979"}, {"ref": "akashsuper2000/the-march-madness", "kernel_id": "9208065"}, {"ref": "ratamjose/ncaa-modelling-achieving-tidy-data", "kernel_id": "9328298"}, {"ref": "evanca/uncovering-cinderellaness", "kernel_id": "9205243"}, {"ref": "tobimichigan/menncaa-stage2-kernel6d2cb73b76", "kernel_id": "9193638"}, {"ref": "tobimichigan/womenncca-stage1kernel2232fd6e4f", "kernel_id": "9196104"}, {"ref": "tobimichigan/2nd-approach", "kernel_id": "9008666"}, {"ref": "tobimichigan/ncca-menstage1-kernel351215ce45", "kernel_id": "9151439"}, {"ref": "mahmudds/google-cloud-ncaa-march-madness-analytics", "kernel_id": "9211187"}, {"ref": "davelo12/how-to-make-money-betting-on-march-madness-with-ml", "kernel_id": "9196676"}, {"ref": "amanymarey/march-madness-cinderella-deep-analysis", "kernel_id": "9180449"}, {"ref": "kowjan1/ncaa-basketball-thrill-factor", "kernel_id": "9217382"}, {"ref": "jky594176/data-preprocessing", "kernel_id": "9044545"}, {"ref": "kyleip/wncaa-shot-value-ratio-analysis", "kernel_id": "9201303"}, {"ref": "sebastiancharmot/quantifying-madness", "kernel_id": "9212019"}, {"ref": "davidchen1998/ncaa-march-madness-data-analysis-report", "kernel_id": "9089437"}, {"ref": "liliangong/live-prediction-model-with-play-by-play-data", "kernel_id": "9116860"}, {"ref": "emimis/madness-at-home-and-on-the-court-part-1", "kernel_id": "9198111"}, {"ref": "wesleyprestonkrafft/2019-tourney-reexamined", "kernel_id": "9274293"}, {"ref": "vandanachanchlani/march-madness", "kernel_id": "9203419"}, {"ref": "alexsadowski/men-s-mm-data-prep", "kernel_id": "9199032"}, {"ref": "bethanyconnolly/does-the-best-team-win", "kernel_id": "9186124"}, {"ref": "jpmiller/some-best-practices-for-analytics-reporting", "kernel_id": "10227448"}, {"ref": "maxkang/business-analytics-and-applications-midterm-proj", "kernel_id": "16177970"}, {"ref": "santhiyar/day-25", "kernel_id": "20111287"}, {"ref": "josephguidi/2020-march-madness-data-first-look-eda", "kernel_id": "36825082"}, {"ref": "makimakiai/ncaa-advanced-stats", "kernel_id": "58790679"}]}
{"competition_id": "18605", "kernels": [{"ref": "gabrielfrborges/arvores-japao", "kernel_id": "7756472"}]}
{"competition_id": "18612", "kernels": [{"ref": "pravinborate/classification-hackathon", "kernel_id": "7773112"}]}
{"competition_id": "18614", "kernels": []}
{"competition_id": "18626", "kernels": [{"ref": "grapestone5321/imet-collection-2020-sample-submission", "kernel_id": "8640104"}, {"ref": "ateplyuk/keras-imet2020-tpu-train", "kernel_id": "8922896"}, {"ref": "ateplyuk/keras-imet2020-infer", "kernel_id": "8942283"}, {"ref": "alimbekovkz/yandex-praktikum-pytorch-resnet50-inference", "kernel_id": "8939028"}, {"ref": "yasufuminakama/imet-2020-pytorch-resnet18-inference", "kernel_id": "8629669"}, {"ref": "yasufuminakama/imet-2020-pytorch-resnet18-starter", "kernel_id": "8618207"}, {"ref": "jesucristo/imet2020-visualization", "kernel_id": "8617025"}, {"ref": "dimakyn/multi-label-keras", "kernel_id": "8698169"}, {"ref": "tathagatbanerjee/tag-classifier-visualization-transfer-learning", "kernel_id": "8901773"}, {"ref": "nxrprime/imet-2020-resnet18-inference", "kernel_id": "8802076"}, {"ref": "hangwoo/kernelf4c6044322", "kernel_id": "8979218"}, {"ref": "hangwoo/kernel25a5cf235e", "kernel_id": "8979034"}, {"ref": "ronyroy/imet-2020-images-to-tfrecord", "kernel_id": "9648325"}, {"ref": "alimbekovkz/yandex-praktikum-pytorch-train-baseline-lb-0-699", "kernel_id": "9090635"}, {"ref": "leosabraham/imet-using-vgg16", "kernel_id": "9494153"}, {"ref": "finlaymacrae/fastai-resnet34-transfer-learning", "kernel_id": "9215010"}, {"ref": "branitsky/kernel5333b65c40", "kernel_id": "9240153"}, {"ref": "wtr850/imet-6-models-comparison-training", "kernel_id": "9564122"}, {"ref": "wtr850/imet-6-models-comparison-inference", "kernel_id": "9565693"}, {"ref": "soham1024/easy-learn-cnn-keras-99-81-accuracy", "kernel_id": "9041790"}, {"ref": "soham1024/basic-neural-network-from-scratch-in-python", "kernel_id": "9080374"}, {"ref": "matthewallenfisher/imet-fastai", "kernel_id": "9199766"}, {"ref": "matthewallenfisher/imet-on-tpu-not-working-yet", "kernel_id": "9450315"}, {"ref": "salmanhiro/imet-2020-cnn-model", "kernel_id": "9307987"}, {"ref": "redwankarimsony/imet-collection-2020-data-visualization", "kernel_id": "9582141"}, {"ref": "ashkhagan/imet2020", "kernel_id": "9263740"}, {"ref": "andreibuliga1/cnn-with-keras-for-imet-2020", "kernel_id": "9279184"}, {"ref": "khofschen/imet-explore-visualization", "kernel_id": "9149398"}, {"ref": "alexdesiqueira/imet-collection-2020-fgvc7-dataset", "kernel_id": "9386078"}, {"ref": "shaman89/yandex-praktikum-pytorch-train-baseline-lb-0-699", "kernel_id": "9098657"}, {"ref": "yunchenyang/multi-head-cnn-for-multi-label-classification-pt2", "kernel_id": "9522733"}, {"ref": "yunchenyang/multi-head-cnn-for-multi-label-classification-pt1", "kernel_id": "9289524"}, {"ref": "shauryachandhoke/imet2020collection-r-canvas-version", "kernel_id": "9312396"}, {"ref": "mayakviriashvili/fastai-imet-collection-2020-fgvc", "kernel_id": "9318055"}, {"ref": "smagh777/imet-multi-label-classification", "kernel_id": "14084381"}, {"ref": "luqzera/notebookecc44717d0", "kernel_id": "17756337"}, {"ref": "mariuszkowiaski/notebookca6c66b620", "kernel_id": "17749852"}, {"ref": "mariuszkowiaski/notebookc222e61ba5", "kernel_id": "17701086"}, {"ref": "tonyctty/imet-collection-ml64", "kernel_id": "21640697"}]}
{"competition_id": "18627", "kernels": [{"ref": "jagannathrk/herbarium-2020", "kernel_id": "8345534"}, {"ref": "grapestone5321/herbarium-2020-sample-submission", "kernel_id": "8329736"}, {"ref": "iamprateek/herbarium-2020-classification", "kernel_id": "8439543"}, {"ref": "shaunthesheep/fgvc7-herbarium-2020-data-viz", "kernel_id": "8868313"}, {"ref": "yasufuminakama/herbarium-2020-pytorch-resnet18-inference", "kernel_id": "8373539"}, {"ref": "yasufuminakama/herbarium-2020-pytorch-resnet18-train", "kernel_id": "8366068"}, {"ref": "rsingh99/getting-started-with-herbarium-2020", "kernel_id": "8332275"}, {"ref": "sergey55/herbarium-2020-notebook", "kernel_id": "8662760"}, {"ref": "drobchak1988/herbarium-2020-fgvc7-create-tfrecords-tensorflow", "kernel_id": "8484397"}, {"ref": "seraphwedd18/herbarium-consolidating-the-details", "kernel_id": "8330381"}, {"ref": "jhayescao/herbarium-2020-digital-garden", "kernel_id": "8664746"}, {"ref": "wojciech1103/herbarium-2020-a-little-bit-fun-with-images", "kernel_id": "8593274"}, {"ref": "jullang/herbarium-via-resnet50-and-3-step-classification", "kernel_id": "8649210"}, {"ref": "tathagatbanerjee/herbarium", "kernel_id": "8883916"}, {"ref": "iamricha/herbarium-via-resnet50-and-3-step-classification", "kernel_id": "9482866"}, {"ref": "khotijahs1/identify-plant-species-from-herbarium-specimens", "kernel_id": "9123660"}, {"ref": "greendolphin/kernel536e7b756c", "kernel_id": "9558675"}, {"ref": "gb00000/herb-nn", "kernel_id": "9271965"}, {"ref": "blueturtle/plant-detection-resnet50-train", "kernel_id": "9570525"}, {"ref": "hungwenchen0306/herbarium-classifier-resnet", "kernel_id": "9471068"}, {"ref": "michaelschastlivcev/herbarium-2020-pytorch", "kernel_id": "9927624"}, {"ref": "riabovanderew/h-2fc-ce-d", "kernel_id": "9985790"}, {"ref": "rivilcan/herbarium-efficientnetb3", "kernel_id": "10244205"}, {"ref": "tkm123456/notebook-mykaggle", "kernel_id": "11745999"}, {"ref": "vijayakishoredusi/sample-notebook-for-testing1", "kernel_id": "11067015"}, {"ref": "quratjaffery/herbarium-consolidating-the-details", "kernel_id": "13974440"}, {"ref": "vishnuvardhanvm/herbarium-2020", "kernel_id": "13337291"}, {"ref": "thejravichandran/herbarium-2020-competition", "kernel_id": "13337032"}, {"ref": "thejravichandran/testing-herbarium-2020-v2", "kernel_id": "13473908"}, {"ref": "thejravichandran/production-herbarium-2020", "kernel_id": "13734541"}, {"ref": "quratjaffery/herbarium-consolidating-the-details-9d1717", "kernel_id": "15238277"}, {"ref": "mariumzia95/herbarium-consolidating-the-details", "kernel_id": "15214966"}, {"ref": "quratulainarshad/herbarium-via-resnet50-and-3-step-classification", "kernel_id": "15329359"}, {"ref": "masmask/herbarium-predict-by-efficientnet", "kernel_id": "19717219"}, {"ref": "colorfuldra/herbarium-2020-pytorch", "kernel_id": "27057400"}, {"ref": "anmol03kumar/few-shot-learning-on-herbarium", "kernel_id": "51143687"}]}
{"competition_id": "18629", "kernels": [{"ref": "ayuraj/save-the-dataset-as-w-b-artifacts", "kernel_id": "26721914"}]}
{"competition_id": "18631", "kernels": []}
{"competition_id": "18632", "kernels": []}
{"competition_id": "18643", "kernels": [{"ref": "jeromeblanchet/start-here-first-look-at-the-data", "kernel_id": "7789926"}]}
{"competition_id": "18646", "kernels": []}
{"competition_id": "18647", "kernels": [{"ref": "faressayah/fashion-mnist-classification-using-cnns", "kernel_id": "6811764"}, {"ref": "reighns/tutorial-on-machine-learning-metrics", "kernel_id": "7073396"}, {"ref": "wouterbulten/getting-started-with-the-panda-dataset", "kernel_id": "8814691"}, {"ref": "tikoboss/kernel1066f69575", "kernel_id": "8276011"}, {"ref": "stillsut/my-tiling-1", "kernel_id": "9285916"}, {"ref": "stillsut/my-tiling-3", "kernel_id": "9302500"}, {"ref": "hengck23/kernel16867b0575", "kernel_id": "9541183"}, {"ref": "jakobw/minimal-submission-script", "kernel_id": "9377014"}, {"ref": "crained/panda-mask-challenge-resized-images-dataset", "kernel_id": "9112659"}, {"ref": "sermakarevich/patchslicer-generator-and-plots-of-sorted-patches", "kernel_id": "9119256"}, {"ref": "sermakarevich/prepare-patches-coordinates-and-targets", "kernel_id": "9185069"}, {"ref": "sermakarevich/micro-visuals-wsi-mask-zoom", "kernel_id": "9175340"}, {"ref": "pmwaniki/finetune-resnet50", "kernel_id": "9823674"}, {"ref": "super13579/panda-classifier-starter-pytorch-eff-b0", "kernel_id": "9054433"}, {"ref": "hossein2015/prostate-cancer-grading", "kernel_id": "9127770"}, {"ref": "indranilbhattacharya/image-stats-submission-trial", "kernel_id": "9490022"}, {"ref": "armenabnousi/yolo-obj-detection-4-prostate-cancer", "kernel_id": "9962888"}, {"ref": "haqishen/panda-inference-w-36-tiles-256", "kernel_id": "9847551"}, {"ref": "haqishen/train-efficientnet-b0-w-36-tiles-256-lb0-87", "kernel_id": "9848361"}, {"ref": "sumitjha19/gleason-to-isup-score-resnet50", "kernel_id": "9527297"}, {"ref": "dgrechka/quadratic-weighted-kappa-for-tf-and-keras", "kernel_id": "9362874"}, {"ref": "tanlikesmath/fastai2-training-baseline", "kernel_id": "9052877"}, {"ref": "tanlikesmath/panda-challenge-512x512-resized-dataset", "kernel_id": "9053751"}, {"ref": "tanlikesmath/panda-challenge-256x256-resized-dataset", "kernel_id": "9051960"}, {"ref": "tanlikesmath/prostate-cancer-grading-intro-starter-kernel", "kernel_id": "9106434"}, {"ref": "ekami66/dynamic-vectorized-code-all-non-white-patches", "kernel_id": "9667783"}, {"ref": "huynhdoo/panda-wsi-tiles-preprocessing-script", "kernel_id": "9851736"}, {"ref": "huynhdoo/panda-wsi-tiles-preprocessing-eda", "kernel_id": "9784232"}, {"ref": "seefun/panda-resize-crop-and-save-dataset", "kernel_id": "9173530"}, {"ref": "stasian/modification-of-iafoss-tiles", "kernel_id": "9562298"}, {"ref": "gpreda/panda-challenge-starting-eda", "kernel_id": "9056487"}, {"ref": "vgarshin/panda-keras-baseline", "kernel_id": "9429620"}, {"ref": "vgarshin/panda-keras-timedistributed", "kernel_id": "9460905"}, {"ref": "yeayates21/panda-densenet-keras-starter-tpu", "kernel_id": "9051581"}, {"ref": "yeayates21/panda-densenet-keras-starter-gpu", "kernel_id": "9159906"}, {"ref": "rogeriodelfim/panda-eda", "kernel_id": "9054058"}, {"ref": "tongluocq/kernel-submission", "kernel_id": "9222871"}, {"ref": "tongluocq/panda-5fold-inference", "kernel_id": "9088783"}, {"ref": "bootiu/eda-panda", "kernel_id": "9266945"}, {"ref": "anubhav1302/panda-keras", "kernel_id": "9060859"}, {"ref": "foobar167/panda-dataset-getting-started", "kernel_id": "9301002"}, {"ref": "avirdee/fastai2-selective-mask-map-isup-grades", "kernel_id": "9917994"}, {"ref": "grapestone5321/panda-challenge-sample-submission", "kernel_id": "9054304"}, {"ref": "iafoss/panda-16x128x128-tiles", "kernel_id": "9161885"}, {"ref": "iafoss/panda-concat-tile-pooling-starter-0-79-lb", "kernel_id": "9162257"}, {"ref": "iafoss/panda-concat-tile-pooling-starter-inference", "kernel_id": "9173924"}, {"ref": "iafoss/panda-init-class-128", "kernel_id": "9922490"}, {"ref": "joydeb28/keras-with-pretrained-model", "kernel_id": "9690006"}, {"ref": "rftexas/better-image-tiles-removing-white-spaces", "kernel_id": "9556020"}, {"ref": "rftexas/implementing-gradcam-with-keras-for-error-analysis", "kernel_id": "9507514"}, {"ref": "ateplyuk/panda-tpu-starter-train", "kernel_id": "9135772"}, {"ref": "ateplyuk/panda-starter-infer", "kernel_id": "9156235"}, {"ref": "kurianbenoy/preprocessing-224x224-images", "kernel_id": "9207760"}, {"ref": "kurianbenoy/tpu-starter-efficentnetb3-densenet-tf-keras", "kernel_id": "9182808"}, {"ref": "rhtsingh/fast-resize-331-331-images-tf-records", "kernel_id": "9149763"}, {"ref": "rhtsingh/panda-36x256-tiles-albumentations-tf-records", "kernel_id": "9862817"}, {"ref": "dannellyz/panda-tissue-detection-size-optimization-70", "kernel_id": "9137841"}, {"ref": "dannellyz/simple-tile-visualizer-and-subplot-modules", "kernel_id": "9282593"}, {"ref": "dannellyz/tissue-detect-td-conv-png-512x512", "kernel_id": "9194880"}, {"ref": "dannellyz/tissue-detect-bounding-box-metadata-analysis", "kernel_id": "9245344"}, {"ref": "dannellyz/tissue-detect-scaling-bounding-boxes-4xfaster", "kernel_id": "9211752"}, {"ref": "dannellyz/collection-of-600-suspicious-slides-data-loader", "kernel_id": "9483254"}, {"ref": "imrandude/wsi-extract-patches-pytorch", "kernel_id": "9100202"}, {"ref": "imrandude/panda-training-dataset", "kernel_id": "9153498"}, {"ref": "tarunpaparaju/panda-challenge-resnet-multitask-8-fold-on-tpu", "kernel_id": "9058765"}, {"ref": "gasparavit/panda-submission-test", "kernel_id": "9410104"}, {"ref": "yuvaramsingh/panda-cnn-model-v1-tensorflow", "kernel_id": "9445507"}, {"ref": "harupy/visualization-panda-16x128x128-tiles", "kernel_id": "9263457"}, {"ref": "harupy/how-to-embed-images-in-dataframe", "kernel_id": "9264064"}, {"ref": "bdubreu/differences-between-radboud-and-karolinska-data", "kernel_id": "9062305"}, {"ref": "polymorphy/kernel64293dcb65", "kernel_id": "9204832"}, {"ref": "hannguyen/prostrate-cancer-detection", "kernel_id": "9638711"}, {"ref": "hawkey/mask-only-simple-classifiers-cv-0-94", "kernel_id": "9106476"}, {"ref": "mnpinto/panda-256x256-crops-dataset", "kernel_id": "9063271"}, {"ref": "arroqc/panda-pytorchlightning-starter", "kernel_id": "9557744"}, {"ref": "ibtesama/simple-baseline-keras-vgg16", "kernel_id": "9059126"}, {"ref": "deejindal/panda-challenge-resnet-multitask-training", "kernel_id": "9382367"}, {"ref": "hirune924/download-challenge-make-url-link-to-every-data", "kernel_id": "9053607"}, {"ref": "hirune924/image-loader-test", "kernel_id": "9930214"}, {"ref": "yukkyo/imagehash-to-detect-duplicate-images-and-grouping", "kernel_id": "9908481"}, {"ref": "jberros/panda-wsi-manipulation-openslide-overview", "kernel_id": "9181539"}, {"ref": "kuldeepdhadhwal/getting-started-with-prostate-cancer", "kernel_id": "9049302"}, {"ref": "yasufuminakama/panda-pytorch-grad-cam", "kernel_id": "9125923"}, {"ref": "yasufuminakama/panda-se-resnext50-classification-baseline", "kernel_id": "9068047"}, {"ref": "yasufuminakama/panda-submit-test", "kernel_id": "9059083"}, {"ref": "yasufuminakama/panda-se-resnext50-regression-baseline", "kernel_id": "9306440"}, {"ref": "risabbiswas19/panda-challenge-comprehensive-data-exploration", "kernel_id": "9081197"}, {"ref": "dipetm/panda-remove-empty-space", "kernel_id": "9554904"}, {"ref": "norrsken/detailed-implementation-of-se-resnext50", "kernel_id": "9471683"}, {"ref": "norrsken/tiles", "kernel_id": "9690155"}, {"ref": "norrsken/panda-prediction", "kernel_id": "9263327"}, {"ref": "norrsken/panda-pytorch-resnet34-model-on-resized-images", "kernel_id": "9111071"}, {"ref": "thieuma06/dataset-tiles-with-slides-of-overlay-mask", "kernel_id": "9505441"}, {"ref": "kaushal2896/panda-densenet121-tta-inference", "kernel_id": "9153730"}, {"ref": "kaushal2896/panda-dividing-each-image-into-256x256-images", "kernel_id": "9110657"}, {"ref": "kaushal2896/panda-naive-eda", "kernel_id": "9073079"}, {"ref": "kaushal2896/seresnext50-labelsmoothing-training", "kernel_id": "9359468"}, {"ref": "prashant111/simple-explanation-of-quadratic-weighted-kappa", "kernel_id": "9055011"}, {"ref": "sulabhtiwari/cnn-panda", "kernel_id": "9144788"}, {"ref": "abhiswain/skorch-on-pandas-densenet121", "kernel_id": "9096384"}, {"ref": "akashsuper2000/panda-challenge-densenet-on-tpus", "kernel_id": "9296046"}, {"ref": "akashsuper2000/winitninference", "kernel_id": "9409200"}, {"ref": "gopidurgaprasad/panda-eda-pytorch-modeling", "kernel_id": "9054924"}, {"ref": "hironobukawaguchi/panda-pandas-profiling-eda", "kernel_id": "9062617"}, {"ref": "hironobukawaguchi/panda-color-histograms-by-mask-label", "kernel_id": "9492972"}, {"ref": "appian/panda-imagehash-to-detect-duplicate-images", "kernel_id": "9904124"}, {"ref": "mawanda/panda-save-space-with-sparse-tensors", "kernel_id": "9578635"}, {"ref": "gaur128/panda-16x256x256-tiles", "kernel_id": "9687111"}, {"ref": "gaur128/panda-tiles-on-tpu", "kernel_id": "9930813"}, {"ref": "harshris21/no-end-to-images-on-kaggle-eda-done-so-wrong", "kernel_id": "9998189"}, {"ref": "marsel171/lepsa", "kernel_id": "9885181"}, {"ref": "akensert/panda-removal-of-pen-marks", "kernel_id": "9495979"}, {"ref": "akensert/panda-drawing-rectangles", "kernel_id": "9110431"}, {"ref": "dhananjay3/panda-eda-all-you-need-to-know", "kernel_id": "9048400"}, {"ref": "arkajyotib/lbp-cca-features-tune-upsample-better-image-tiles", "kernel_id": "9873440"}, {"ref": "debanga/let-s-enhance-the-images", "kernel_id": "9271101"}, {"ref": "debanga/pytorchcv-efficientnetb3-baseline", "kernel_id": "9162025"}, {"ref": "priteshraj10/cancer-dataset", "kernel_id": "9062769"}, {"ref": "xhlulu/panda-run-length-encoding", "kernel_id": "9064058"}, {"ref": "xhlulu/panda-resize-and-save-train-data", "kernel_id": "9052769"}, {"ref": "lvulliard/crop-images", "kernel_id": "9885907"}, {"ref": "lvulliard/tune-pre-trained-xception", "kernel_id": "9887897"}, {"ref": "lvulliard/tune-pre-trained-efficient-b1", "kernel_id": "9934516"}, {"ref": "lvulliard/predict-panda-test-set", "kernel_id": "9905805"}, {"ref": "lvulliard/test-panda-data", "kernel_id": "9908178"}, {"ref": "fanconic/panda-tile-list-training-for-effnetb0-regression", "kernel_id": "9731840"}, {"ref": "fanconic/panda-inference-for-effnetb0-regression", "kernel_id": "9677237"}, {"ref": "fanconic/panda-training-for-effnetb0-regression", "kernel_id": "9591236"}, {"ref": "dldmw579/fastai-training-baseline-qwk-metric", "kernel_id": "9054328"}, {"ref": "dldmw579/reg-panda-cv-0-870", "kernel_id": "9354321"}, {"ref": "wilk258/begginer-coursera-eda", "kernel_id": "9494701"}, {"ref": "prateekagnihotri/efficientnet-keras-train-qwk-loss-augmentation", "kernel_id": "9106915"}, {"ref": "prateekagnihotri/efficientnet-keras-infernce-tta", "kernel_id": "9111288"}, {"ref": "prateekagnihotri/panda-resnext-inference-tta-blending", "kernel_id": "9114962"}, {"ref": "prateekagnihotri/transfer-learning-starter-kernel", "kernel_id": "9134802"}, {"ref": "prateekagnihotri/img-augment-custom-train-loop-tpu-6sec-epoch", "kernel_id": "9241323"}, {"ref": "prateekagnihotri/2-hrs-tpu-training-lb-0-68", "kernel_id": "9262882"}, {"ref": "virajbagal/tissue-detected-dataset", "kernel_id": "9485622"}, {"ref": "virajbagal/panda-se-resnext50-tpu-weights-inference", "kernel_id": "9502946"}, {"ref": "virajbagal/panda-seresnext50-regression-tpu", "kernel_id": "9553810"}, {"ref": "tanulsingh077/prostate-cancer-in-depth-understanding-eda-model", "kernel_id": "9099852"}, {"ref": "mudasserafzal/prostate-cancer", "kernel_id": "9307714"}, {"ref": "sumitai/eda-prostate-cancer-panda-challenge", "kernel_id": "9053502"}, {"ref": "frlemarchand/high-res-samples-into-multi-input-cnn-keras", "kernel_id": "9051948"}, {"ref": "mpwolke/prostate-carcinoma-guidelines", "kernel_id": "9050474"}, {"ref": "nobletp/keras-vgg16-vgg19-inceptionv3-resnet50", "kernel_id": "9438589"}, {"ref": "nobletp/panda-keras-baseline", "kernel_id": "9704440"}, {"ref": "karrak3256/panda-test-file", "kernel_id": "9182704"}, {"ref": "karrak3256/pandas-training-file", "kernel_id": "9163635"}, {"ref": "raviyadav2398/panda-eda-visualization-and-predictions", "kernel_id": "9057568"}, {"ref": "aykhanpy/panda-crop-points-for-multi-image-tiff-files", "kernel_id": "9103965"}, {"ref": "santosh8896/panda-eda-better-visualization-simple-baseline", "kernel_id": "9771789"}, {"ref": "santosh8896/panda-inference-w-36-tiles-256", "kernel_id": "9952136"}, {"ref": "zengm71/panda-train", "kernel_id": "9106522"}, {"ref": "kst6690/kernel243f8be261", "kernel_id": "9421087"}, {"ref": "yida2311/panda-16x128x128-tiles", "kernel_id": "9454533"}, {"ref": "reighns/understanding-the-quadratic-weighted-kappa", "kernel_id": "9048226"}, {"ref": "reighns/sanity-check-on-original-vs-masked-images", "kernel_id": "9062239"}, {"ref": "madfalcon/inceptionv3-keras-dummy-training-v1", "kernel_id": "9332423"}, {"ref": "madfalcon/panda-keras-resnet50-submit", "kernel_id": "9708802"}, {"ref": "liorziv100/256x256-level-1-tiles", "kernel_id": "9526907"}, {"ref": "greatgamedota/panda-baseline-classifier-5fold-inference", "kernel_id": "9069000"}, {"ref": "greatgamedota/panda-5fold-inference", "kernel_id": "9169689"}, {"ref": "spidyweb/prostate-cancer-panda-insight-eda", "kernel_id": "9184330"}, {"ref": "spidyweb/panda-efficientnetb7-on-tpu-tensorflow", "kernel_id": "9230194"}, {"ref": "xiejialun/panda-tiles-training-on-tensorflow-0-7-cv", "kernel_id": "9332519"}, {"ref": "abebe9849/panda-16x128x128-tiles", "kernel_id": "9223971"}, {"ref": "anandsubbu007/panda-challenge-eda-beginners", "kernel_id": "9056046"}, {"ref": "nhan1212/set-theory-basic", "kernel_id": "9866556"}, {"ref": "nhan1212/stage-2-extract-radboud-from-a-given-data-h5", "kernel_id": "9879604"}, {"ref": "nhan1212/u-net-model-train-loss-eval-level-2-lowest", "kernel_id": "9525560"}, {"ref": "shantanu1118/getting-started-with-the-panda-dataset", "kernel_id": "9259944"}, {"ref": "iamleonie/panda-eda-visualizations-suspicious-data", "kernel_id": "9055741"}, {"ref": "raibektussupbekov/panda-eda", "kernel_id": "9280756"}, {"ref": "raibektussupbekov/panda-crop-resize-to-square-save-train-data", "kernel_id": "9604427"}, {"ref": "rohitsingh9990/panda-inference-ensemble-trying-various-models", "kernel_id": "9138608"}, {"ref": "rohitsingh9990/panda-resize-and-save-image-mask-overlay", "kernel_id": "9096801"}, {"ref": "rohitsingh9990/panda-resnext-inference", "kernel_id": "9055601"}, {"ref": "rohitsingh9990/panda-eda-better-visualization-simple-baseline", "kernel_id": "9050123"}, {"ref": "xinruizhan/panda-dowload", "kernel_id": "9201753"}, {"ref": "vladvdv/pytorch-inference-multiple-models-and-folds", "kernel_id": "9108063"}, {"ref": "vladvdv/pytorch-training-customizable-kernel-with-5-folds", "kernel_id": "9154187"}, {"ref": "tasnimnishatislam/very-fast-way-to-resize-image-panda", "kernel_id": "9958010"}, {"ref": "dmitryhcl/tpu-effnet-b6-dataset-with-image-augmentation", "kernel_id": "9306066"}, {"ref": "ashutosh619sudo/data-analysis-part-1", "kernel_id": "9059887"}, {"ref": "nxrprime/panda-a-rather-simple-eda", "kernel_id": "9952501"}, {"ref": "nxrprime/panda-image-data-augmentation-techniques-w-monai", "kernel_id": "9583369"}, {"ref": "jahinalam/bbox-generation-for-prostate-cancer-and-images", "kernel_id": "9991261"}, {"ref": "roberthlee/reading-images-in-r", "kernel_id": "9442605"}, {"ref": "alexj21/panda-chowder-method", "kernel_id": "9683450"}, {"ref": "alexj21/hybrid-cnn-lstm-starter", "kernel_id": "9570010"}, {"ref": "ioanang/vgg16-keras-dummy-training-without-masks", "kernel_id": "9187367"}, {"ref": "rmicrobe/microanatomy-of-the-prostate", "kernel_id": "9771755"}, {"ref": "duccongduong/pandas-challenge-part-2", "kernel_id": "9534454"}, {"ref": "duccongduong/panda-challenge-part-3", "kernel_id": "9536592"}, {"ref": "arturkasza/kernel4ec4fc4336", "kernel_id": "9078131"}, {"ref": "okojoyt/panda-pandas-profiling-for-each-data-provider", "kernel_id": "9064055"}, {"ref": "dararc/introduction-eda", "kernel_id": "9418951"}, {"ref": "dararc/panda-step-1a-pre-processing-resizing", "kernel_id": "9759681"}, {"ref": "dararc/panda-step-1b-exploring-masks", "kernel_id": "9788749"}, {"ref": "rnateghi/image-generation-1-staintools", "kernel_id": "9623815"}, {"ref": "esindarici/kagglepandatfrecords", "kernel_id": "9217622"}, {"ref": "thomasnikodem/mask-cleanup", "kernel_id": "9671383"}, {"ref": "nilsandren/pandafinalnils", "kernel_id": "9965705"}, {"ref": "congdd/kernel9786827f1f", "kernel_id": "9998739"}, {"ref": "jakobw/panda-submit-clas-twodl", "kernel_id": "10772610"}, {"ref": "jakobw/data-augmentation-test", "kernel_id": "10346669"}, {"ref": "darraghdog/lstm-effnetb2-1507v33a", "kernel_id": "10692851"}, {"ref": "tgibbons/cis-6115-unit-5-chap-10-11", "kernel_id": "10045921"}, {"ref": "thomasx/test-the-big-size", "kernel_id": "10314606"}, {"ref": "dgrechka/panda-submit-ensemble-37c-40c-exp-models", "kernel_id": "10792660"}, {"ref": "mdp1990/prostate-cancer-challenge-eda", "kernel_id": "10448421"}, {"ref": "mdp1990/prostate-cancer-challenge-model-building", "kernel_id": "10435129"}, {"ref": "huynhdoo/panda-keras-model-inference", "kernel_id": "10015451"}, {"ref": "sankarsanseal/images-and-masks-at-lowest-resolution", "kernel_id": "10806422"}, {"ref": "dextrousjinx/fast-ai-lecture-1-practical", "kernel_id": "10545716"}, {"ref": "drhabib/ens-xie-2fold-drhb-igor-ru-se50-ru-efnet-5", "kernel_id": "10727299"}, {"ref": "shentao/fork-of-panda-inference-final-ave", "kernel_id": "10814733"}, {"ref": "avirdee/fastai2-balanced-stratified-submission", "kernel_id": "10228872"}, {"ref": "rvslight/mean-ensemble-asnell-and-shujun-by-jjshadow", "kernel_id": "10782848"}, {"ref": "iafoss/panda-init-class-128-voting", "kernel_id": "10805485"}, {"ref": "iafoss/panda-128-tiles", "kernel_id": "10336988"}, {"ref": "djeutsch/panda-deeper-eda-and-visualization-v2", "kernel_id": "10117639"}, {"ref": "utkarshtripathi/panda-inference-efficientnet-b1", "kernel_id": "10818268"}, {"ref": "coreacasa/12th-place-solution-inference-notebook", "kernel_id": "10839570"}, {"ref": "coreacasa/12th-place-solution-quick-save-inference", "kernel_id": "10837921"}, {"ref": "kangkangkk/panda-concat-tile-pooling-starter-0-79-lb", "kernel_id": "10342253"}, {"ref": "raghaw/panda-medium-resolution-dataset-25x256x256", "kernel_id": "10309128"}, {"ref": "rajnishe/panda-tpu-png-1536-fine-rune-fold3", "kernel_id": "10673204"}, {"ref": "rajnishe/rc-panda-ensemble-twin-backbone", "kernel_id": "10270369"}, {"ref": "rajnishe/rc-panda-xception-on-level-2-regressionmodel", "kernel_id": "10195498"}, {"ref": "rajnishe/rc-panda-regression-th-finder", "kernel_id": "10236392"}, {"ref": "rajnishe/tta-implementation", "kernel_id": "10486193"}, {"ref": "rajnishe/panda-tpu-png-1536-full-dataset", "kernel_id": "10573002"}, {"ref": "rajnishe/rc-panda-xgboost-stacking", "kernel_id": "10544452"}, {"ref": "arroqc/tile-model-ensemble", "kernel_id": "10747835"}, {"ref": "hirune924/slideshow-viewer-for-the-lazy-person", "kernel_id": "10050559"}, {"ref": "hirune924/o2unet-loss-aggregate", "kernel_id": "10029446"}, {"ref": "qitvision/panda-r-hm-ai-private-score-0-93", "kernel_id": "10934527"}, {"ref": "qitvision/jj-2020-07-21-all-models", "kernel_id": "10790126"}, {"ref": "dlarionov/tile-factory", "kernel_id": "10403401"}, {"ref": "nizamuddin/panda-training", "kernel_id": "10411934"}, {"ref": "nizamuddin/panda-generating-data-2000", "kernel_id": "10481620"}, {"ref": "debanik123/p-keras-vgg16", "kernel_id": "10969047"}, {"ref": "ghaiyur/ensemble-model", "kernel_id": "10412285"}, {"ref": "micimize/complex-packing", "kernel_id": "10332006"}, {"ref": "akashsuper2000/tensorflow-with-tpus", "kernel_id": "10628484"}, {"ref": "akashsuper2000/tpu-tensorflow-42x256x256x3", "kernel_id": "10544659"}, {"ref": "akashsuper2000/pandas-42x256x256x3-inference", "kernel_id": "10544334"}, {"ref": "akashsuper2000/panda-inference-w-36-tiles-256", "kernel_id": "10155475"}, {"ref": "jaideepvalani/pandas-resnext-patching-method", "kernel_id": "10293780"}, {"ref": "prachi1211/eda-wsi-pixels", "kernel_id": "10316657"}, {"ref": "rsinda/panda-inference-efficientnet-b1", "kernel_id": "10810118"}, {"ref": "mawanda/qwk-metric-and-loss-in-pytorch", "kernel_id": "10181930"}, {"ref": "mawanda/cropped-dataset-optimized-for-kaggle", "kernel_id": "10615315"}, {"ref": "tejask98/blend-efficientnet-b0-and-b1", "kernel_id": "10530410"}, {"ref": "akensert/panda-optimized-tiling-tf-data-dataset", "kernel_id": "10203806"}, {"ref": "mahmudds/prostate-cancer-grade-assessment-panda-challenge", "kernel_id": "10486240"}, {"ref": "malyshevvalery/tilewise-pipeline", "kernel_id": "10791829"}, {"ref": "c7934597/prostate-cancer-grade-inference-panda", "kernel_id": "10501444"}, {"ref": "kartikkhandelwal/panda-data-prepocessing", "kernel_id": "10224579"}, {"ref": "vainof/panda-inference-w-36-tiles-256", "kernel_id": "10289924"}, {"ref": "mudasserafzal/prostate-cancer-segmentation", "kernel_id": "10241318"}, {"ref": "amacpherson88/generate-list-of-random-tiles-as-csv", "kernel_id": "10428643"}, {"ref": "dragonsan17/save-good-tiles-0", "kernel_id": "10468137"}, {"ref": "vineeth1999/prostate-cancer-grade-assessment-panda-challenge", "kernel_id": "10778977"}, {"ref": "tottinfish/for-test-submission", "kernel_id": "10211402"}, {"ref": "soumya25/pratyabhij-a-na-3", "kernel_id": "10817611"}, {"ref": "shubham9455999082/simple-opencv-cnn-vg16", "kernel_id": "10574214"}, {"ref": "snide713/basic-pipeline-for-pytorchers", "kernel_id": "10548506"}, {"ref": "deemocean/prostate", "kernel_id": "10325398"}, {"ref": "kyoshioka47/late-famrepro-fam-reproaru-ensemble-0725", "kernel_id": "10967776"}, {"ref": "micheomaano/medium-resolution-dataset-48x256x256", "kernel_id": "10338760"}, {"ref": "micheomaano/landmark-metric-learning", "kernel_id": "10636160"}, {"ref": "micheomaano/pandas-42x256x256x3-inference", "kernel_id": "10379298"}, {"ref": "micheomaano/tpu-training-tensorflow-iafoos-method-42x256x256x3", "kernel_id": "10375636"}, {"ref": "feascr/panda-custom-dataset", "kernel_id": "10592119"}, {"ref": "raininbox/blend-different-models-with-different-n-tile", "kernel_id": "10220788"}, {"ref": "arpcode/pandas-and-bamboos-learning-rate-scheduling", "kernel_id": "10536133"}, {"ref": "arpcode/fork-of-pandas-and-bamboos-learning-rate-schedul", "kernel_id": "10571892"}, {"ref": "davejaivik/panda-bayesian", "kernel_id": "10130709"}, {"ref": "nhan1212/some-statistical-distances", "kernel_id": "10406628"}, {"ref": "ziedbaklouti/randomly-extract-patches", "kernel_id": "10223081"}, {"ref": "tachyon777/panda-tachyon-introduction", "kernel_id": "10500304"}, {"ref": "tasnimnishatislam/u-net-biomed-image-segmentation", "kernel_id": "10257963"}, {"ref": "tasnimnishatislam/panda-resize-and-save-train-data", "kernel_id": "10191977"}, {"ref": "tasnimnishatislam/dnmodelmanami-py", "kernel_id": "10063322"}, {"ref": "yjiaowla/panda-tiles-tf-keras-cohen-kappa-loss-baseline", "kernel_id": "10122955"}, {"ref": "kyunghoonhur/efficientnet-b0-b1-1-1-ensemble-0-92664", "kernel_id": "10808081"}, {"ref": "tikoboss/effb7-rn152v2-inceptionv3", "kernel_id": "10388277"}, {"ref": "tikoboss/prostate-cancer", "kernel_id": "10353879"}, {"ref": "tikoboss/kernel5a15dde37e", "kernel_id": "10808360"}, {"ref": "tikoboss/panda-densenet-keras-starter-tpu-563d0d", "kernel_id": "10750132"}, {"ref": "tikoboss/skin-cancer-siim-melanoma", "kernel_id": "10959623"}, {"ref": "imakaruamikurah/keras-densenet121-prostate-cancer", "kernel_id": "10541699"}, {"ref": "blablamc/panda-custom-dataset", "kernel_id": "10648013"}, {"ref": "blablamc/panda-training-with-custom-dataset", "kernel_id": "10793564"}, {"ref": "blablamc/panda-by-egor", "kernel_id": "10691698"}, {"ref": "dragonzhang/mystudy-kernel", "kernel_id": "10618609"}, {"ref": "arunadeviramesh/cancer-grade-assessment", "kernel_id": "10482859"}, {"ref": "nikhilbartwal001/coords-precomp", "kernel_id": "10558489"}, {"ref": "nikhilbartwal001/panda-inference", "kernel_id": "10683041"}, {"ref": "nikhilbartwal001/prostate-cancer-detection-system", "kernel_id": "10697358"}, {"ref": "duccongduong/15epoch-efficientnetb3-tts-inference", "kernel_id": "10374975"}, {"ref": "duccongduong/25epoch-resnext50-tts-inference", "kernel_id": "10006165"}, {"ref": "digvijayyadav/panda-inference-w-36-tiles-256", "kernel_id": "10718910"}, {"ref": "yahiabouslimi/test-keras-vgg16", "kernel_id": "10120472"}, {"ref": "takashinemoto/train-efficientnet-b3-w-36-tiles-256", "kernel_id": "10515035"}, {"ref": "takashinemoto/panda-inference-w-36-tiles-256", "kernel_id": "10265201"}, {"ref": "dararc/panda-step-1-tiling", "kernel_id": "10143700"}, {"ref": "dararc/step-1a-pre-processing-resizing", "kernel_id": "10020675"}, {"ref": "dararc/eda-on-tile-labels", "kernel_id": "10495110"}, {"ref": "dararc/prostate-cancer-detection-end-to-end-ml-project", "kernel_id": "10924019"}, {"ref": "dararc/gl3-panda-training", "kernel_id": "10732849"}, {"ref": "ssaisuryateja/prostrate-cancer", "kernel_id": "10660319"}, {"ref": "razamh/panda-concat-tile-pooling-starter-0-79-lb", "kernel_id": "10312303"}, {"ref": "razamh/panda-eda-better-visualization-simple-baseline", "kernel_id": "10129067"}, {"ref": "timsthebomb/fastaiv2-resnet34-dynamic-unet", "kernel_id": "10437185"}, {"ref": "timsthebomb/test-submission", "kernel_id": "10547089"}, {"ref": "apurvasharma866/panda-challenge", "kernel_id": "10252744"}, {"ref": "hernoo/panda-resnet50", "kernel_id": "10942656"}, {"ref": "hernoo/submission-panda", "kernel_id": "10970827"}, {"ref": "hernoo/tile-pre-processing", "kernel_id": "10967150"}, {"ref": "naomiding/panda-concat-tile-pooling-w-stain-norm-12x128x128", "kernel_id": "10161844"}, {"ref": "naomiding/panda-stain-norm-12x128x128-inference", "kernel_id": "10163576"}, {"ref": "naomiding/panda-concat-tile-pooling-n-16x128x128", "kernel_id": "10023404"}, {"ref": "naomiding/panda-tiles36x256x256-stain-norm-downsz128-model-1", "kernel_id": "10465357"}, {"ref": "amyjang/tensorflow-cnn-data-augmentation-prostate-cancer", "kernel_id": "10167958"}, {"ref": "bluffmaster111/final", "kernel_id": "10134293"}, {"ref": "fadzlinrafi/starter-turning-image-tiles-into-pandas-df", "kernel_id": "10341383"}, {"ref": "cathyyan37/prostate-cancer-grade-assessment-panda-challenge", "kernel_id": "10261872"}, {"ref": "naomidd/panda-stain-norm-downsample12x64x64-inference", "kernel_id": "10188492"}, {"ref": "fifantor50/create-tfrecords-fpr-prostate-cancer-grade", "kernel_id": "10797073"}, {"ref": "mayankkrawat/cancer", "kernel_id": "10477789"}, {"ref": "sicmunduscreatusest/red-panda-lb-0-76", "kernel_id": "10595449"}, {"ref": "jotaporras/edwin-submission-1-copy", "kernel_id": "11307577"}, {"ref": "anirbannag/panda-checkpoint", "kernel_id": "11391809"}, {"ref": "anirbannag/panda-checkpoint-demo", "kernel_id": "11409251"}, {"ref": "spears27/panda-fastai-inference", "kernel_id": "11496647"}, {"ref": "spears27/prostate-cancer-efnetb3-fastai-image-augmentation", "kernel_id": "11505950"}, {"ref": "spears27/panda-final-inference", "kernel_id": "11650463"}, {"ref": "spears27/prostate-cancer-efnetb3-fastai-custom-datablock", "kernel_id": "11466498"}, {"ref": "spears27/panda-efficientnet-b0", "kernel_id": "11378822"}, {"ref": "aathiraks/exp5-inference-notebook-d766a4", "kernel_id": "11638109"}, {"ref": "qitvision/jj-2020-07-21-all-models-cleaned", "kernel_id": "11303078"}, {"ref": "rahulmunet1206/panda-inference-w-36-tiles-256", "kernel_id": "11531829"}, {"ref": "podkowa/new-classification-panda-eff-intermediate-fold1", "kernel_id": "11981591"}, {"ref": "jackbyte/panda-challenge-failed-successfully", "kernel_id": "11577940"}, {"ref": "flyingmuttus/panda-independence-eds-inference", "kernel_id": "11494113"}, {"ref": "kyoshioka47/5-fold-effb0-with-cleaned-labels-pb-0-935", "kernel_id": "11105228"}, {"ref": "ctrasd123/panda-singlenet-submit", "kernel_id": "11250690"}, {"ref": "natalyayurina/kernel4a3b468030", "kernel_id": "11163410"}, {"ref": "tikoboss/create-tfrecords-fpr-prostate-cancer-grade", "kernel_id": "11623851"}, {"ref": "bbanuprasad/designing-classifier-1", "kernel_id": "11121267"}, {"ref": "eddiefroufrou/arutema-base-model-w-logits-a-s-36x128x128", "kernel_id": "11955994"}, {"ref": "mariajahan/train-efficientnet-b0-w-36-tiles-256-lb0-87", "kernel_id": "11352846"}, {"ref": "jackbyte/sample-gleason-biopsy-pictures", "kernel_id": "12162286"}, {"ref": "umashankar01/efficientnet-b7-final", "kernel_id": "12926801"}, {"ref": "umashankar01/final-res-vgg-incep", "kernel_id": "12755270"}, {"ref": "kwjcndocjn/panda-competition-in-tensorlfow", "kernel_id": "13517837"}, {"ref": "luckass/stage-kanker", "kernel_id": "14988162"}, {"ref": "saintyemix1/my-project-on-prostate-cancer", "kernel_id": "14448163"}, {"ref": "umashankar01/final-project", "kernel_id": "14304444"}, {"ref": "umashankar01/densenet121-final", "kernel_id": "14473386"}, {"ref": "umashankar01/xception-final", "kernel_id": "14488360"}, {"ref": "anaselmasry/tensorflow-cnn-data-augmentation-prostate-cancer", "kernel_id": "14535780"}, {"ref": "rmicrobe/creating-training-dataset", "kernel_id": "14831434"}, {"ref": "ayeshasaqib/final-project", "kernel_id": "14233880"}, {"ref": "hazimirfan/cb-stem20-project-amna-hazim-v2", "kernel_id": "14251764"}, {"ref": "ahmadzafar7484/ahmadzafar-finalproject", "kernel_id": "14123964"}, {"ref": "habibmrad1983/panda-eda-better-visualization-simple-baseline", "kernel_id": "15539484"}, {"ref": "habibmrad1983/prostate-cancer-in-depth-understanding-eda-model", "kernel_id": "15569815"}, {"ref": "habibmrad1983/panda-concat-tile-pooling-starter-0-79-lb", "kernel_id": "15588902"}, {"ref": "joangibert/panda-tile-pooling-fastai2", "kernel_id": "15631544"}, {"ref": "umashankar01/vgg-19", "kernel_id": "15400549"}, {"ref": "micheomaano/code-for-encoding-and-decoding", "kernel_id": "15080337"}, {"ref": "rmicrobe/panda-challenge-my-first-submission", "kernel_id": "15264573"}, {"ref": "rmicrobe/train-and-create-test-pkl-file", "kernel_id": "15137646"}, {"ref": "marshath/tackling-panda-using-fastai-v2", "kernel_id": "16437384"}, {"ref": "vsend123/image-analysis", "kernel_id": "16101153"}, {"ref": "vsend123/nuclei-segmentation", "kernel_id": "16997130"}, {"ref": "ironwing/panda-challenge", "kernel_id": "16980852"}, {"ref": "wemakeai/prostate-cancer", "kernel_id": "16608445"}, {"ref": "wemakeai/prostate-cancer-fastai-baseline-model", "kernel_id": "16715249"}, {"ref": "mewtyunjay/finalproject-efficientnet-b0", "kernel_id": "16833352"}, {"ref": "blablamc/panda-inference", "kernel_id": "16157505"}, {"ref": "angeloespinoza/tasks-to-do", "kernel_id": "18726771"}, {"ref": "mdmahirlabib/panda-keras-baseline", "kernel_id": "18433150"}, {"ref": "abinashreddy/notebooka088d52694", "kernel_id": "18338468"}, {"ref": "satyadeep7/notebook10f0c2885a", "kernel_id": "18748241"}, {"ref": "yollotltamayo/gleason-densenet", "kernel_id": "18702529"}, {"ref": "natassiamedeiros/cancer-de-prostata", "kernel_id": "19263189"}, {"ref": "carlossolorzano/generador-aleatorio", "kernel_id": "20696542"}, {"ref": "rithesh18/prostrate-cancer-grading-final", "kernel_id": "20366865"}, {"ref": "martincervantes/generation-tiles", "kernel_id": "20849378"}, {"ref": "martincervantes/slide-details", "kernel_id": "20817129"}, {"ref": "martincervantes/image-tiles-7x7", "kernel_id": "20472030"}, {"ref": "martincervantes/efficientnet-prostate-cancer", "kernel_id": "20296386"}, {"ref": "martincervantes/gleason-prostate-cancer", "kernel_id": "20069138"}, {"ref": "martincervantes/tifffiles-generation-tiles", "kernel_id": "21146065"}, {"ref": "tarkdoganay/prostate-cancer-fastai-baseline-model", "kernel_id": "21063195"}, {"ref": "team46panda/efficientnet-prostate-cancer", "kernel_id": "21779283"}, {"ref": "hiteshvijan/fyp-prostate-cancer", "kernel_id": "22809788"}, {"ref": "martincervantes/panda-concat-tile-pooling-starter-0-79-lb", "kernel_id": "22871239"}, {"ref": "martincervant/panda-concat-tile-pooling-starter-0-79-lb", "kernel_id": "23075138"}, {"ref": "watsoncg/pc-data-dataset-gen", "kernel_id": "24029386"}, {"ref": "watsoncg/eff-model-training", "kernel_id": "24135279"}, {"ref": "watsoncg/model-testing", "kernel_id": "24162656"}, {"ref": "watsoncg/eight-fold-pc-data-dataset-gen-toomuchoutput", "kernel_id": "24950989"}, {"ref": "thanhhanguyenlqd/prostate-cancer-learning", "kernel_id": "24532886"}, {"ref": "thanhhanguyenlqd/train-efficientnet-b0-w-36-tiles-256-lb0-87", "kernel_id": "24542332"}, {"ref": "yooyoyoyoy/fork-of-fork-of-fork-of-fork-of-model-training", "kernel_id": "25648287"}, {"ref": "yooyoyoyoy/newmodeltraining", "kernel_id": "25218974"}, {"ref": "mars999/panda-84-03a28c-1", "kernel_id": "25188062"}, {"ref": "watsoncg/model-training", "kernel_id": "25053734"}, {"ref": "watsoncg/8-fold-pc-dataset-gen-4-8-d", "kernel_id": "25029427"}, {"ref": "watsoncg/8-fold-pc-dataset-gen-5-8-e", "kernel_id": "25029440"}, {"ref": "watsoncg/8-fold-pc-dataset-gen-6-8-f", "kernel_id": "25029457"}, {"ref": "watsoncg/8-fold-pc-dataset-gen-7-8-g", "kernel_id": "25029472"}, {"ref": "watsoncg/8-fold-pc-dataset-gen-8-8-h", "kernel_id": "25029489"}, {"ref": "watsoncg/8-fold-pc-dataset-gen-3-8-c", "kernel_id": "25029407"}, {"ref": "watsoncg/8-fold-pc-dataset-gen-2-8-b", "kernel_id": "25029378"}, {"ref": "watsoncg/8-fold-pc-dataset-gen-0-8", "kernel_id": "25025111"}, {"ref": "watsoncg/8-fold-pc-dataset-gen-1-8-a", "kernel_id": "25025118"}, {"ref": "watsoncg/50a-model-training", "kernel_id": "25656666"}, {"ref": "watsoncg/50a-h-model-training", "kernel_id": "25656803"}, {"ref": "watsoncg/fork-of-fork-of-fork-of-fork-of-model-training", "kernel_id": "25602104"}, {"ref": "team46panda/newmodeltraining-ccb6a9", "kernel_id": "25234897"}, {"ref": "hpoddar2810/notebook68410c4781", "kernel_id": "26993291"}, {"ref": "deepupillai/densenet-dp", "kernel_id": "26601416"}, {"ref": "liuyueying/project-code", "kernel_id": "26437929"}, {"ref": "prachii1999/train-model-pc", "kernel_id": "26625690"}, {"ref": "prachii1999/cancer-detection", "kernel_id": "26422792"}, {"ref": "whatisacat/notebookf5901c389b", "kernel_id": "26547770"}, {"ref": "whatisacat/anteater-5901c389b", "kernel_id": "26593824"}, {"ref": "phanqucton/52000814-efficientnet-b1", "kernel_id": "27365458"}, {"ref": "shreshthasingh/patch-generator", "kernel_id": "29449453"}, {"ref": "koushikkkk/prostate-cancer-identification-2nd-review", "kernel_id": "30687968"}, {"ref": "cchyang6/panda-se-resnext50-regression-baseline", "kernel_id": "32647851"}, {"ref": "eissaammar/prostate-2", "kernel_id": "32449755"}, {"ref": "eissaammar/prostate-cancer", "kernel_id": "32368982"}, {"ref": "pcdetectionproject/project", "kernel_id": "32530179"}, {"ref": "keshavsharma747/monai-panda", "kernel_id": "33251012"}, {"ref": "karthik10/attention-mechanism-in-panda", "kernel_id": "34309997"}, {"ref": "oliviawenzie/notebookcr7", "kernel_id": "34428241"}, {"ref": "jithukrishnanp/isup-training", "kernel_id": "35517195"}, {"ref": "sabahesaraki/prostate-cancer-assessment-panda", "kernel_id": "35558840"}, {"ref": "althafabdulsalam/tiles-isup-grading", "kernel_id": "35362708"}, {"ref": "anapapara/biopsy-classification", "kernel_id": "35077285"}, {"ref": "jadamoureen/the-study-of-prostate-cancer-eda", "kernel_id": "36219589"}, {"ref": "jithukrishnanp/pandas-tiles", "kernel_id": "36786428"}, {"ref": "jithukrishnanp/yolo-v5", "kernel_id": "36880747"}, {"ref": "aryaaherrao/prostate-cancer", "kernel_id": "36711061"}, {"ref": "althafabdulsalam/isup-project", "kernel_id": "36296916"}, {"ref": "althafabdulsalam/isup-3-0", "kernel_id": "36391059"}, {"ref": "tabrom/group3-panda-tiling", "kernel_id": "37367883"}, {"ref": "tabrom/imagehash-to-detect-duplicate-images-and-grouping", "kernel_id": "37670732"}, {"ref": "lucamascaro/prostate-imaging-visualization", "kernel_id": "37464383"}, {"ref": "geertlitjens/panda-se-resnext50-classification-baseline", "kernel_id": "38663023"}, {"ref": "florisvanwettum/panda-training", "kernel_id": "38516756"}, {"ref": "florisvanwettum/panda-submission", "kernel_id": "38540203"}, {"ref": "florisvanwettum/group3-panda-tiling-v2", "kernel_id": "38159793"}, {"ref": "sanderg12/submission-notebook", "kernel_id": "38525518"}, {"ref": "lucamascaro/ensamble-v-1", "kernel_id": "38707473"}, {"ref": "abdullahferas/2nd-final-code-cf7bd0", "kernel_id": "39443866"}, {"ref": "lucamascaro/12th-place-solution-inference-notebook", "kernel_id": "39704650"}, {"ref": "mariamalshboul/training-with-vit-and-checkpoint", "kernel_id": "39134842"}, {"ref": "giacomocavadini/notebooka972148432", "kernel_id": "39701076"}, {"ref": "abebe9849/mi-zero-demo", "kernel_id": "40873622"}, {"ref": "tartafra/prostate-cancer-and-grade-assessment-group-f", "kernel_id": "40010228"}, {"ref": "suneetpathangay/assignment-research", "kernel_id": "42565064"}, {"ref": "vatssaanidhya/assignment-for-ra", "kernel_id": "43377755"}, {"ref": "mrpeponee/training-corrected", "kernel_id": "45219653"}, {"ref": "avishekrauniyar/assignment1", "kernel_id": "45171106"}, {"ref": "omarashraf1215/paper-1", "kernel_id": "45825338"}, {"ref": "parvez0khan/prostate-cancer-grade-assessment", "kernel_id": "49750717"}, {"ref": "mahmoudessammustafa/panda-36x256x256-f-tiles", "kernel_id": "51676242"}, {"ref": "trunghiu211/better-image-tiles-removing-white-spaces", "kernel_id": "51552546"}, {"ref": "krunalkevadiya/prostate-cancer-cnn-2", "kernel_id": "51717978"}, {"ref": "krunalkevadiya/cnn-practice", "kernel_id": "51676579"}, {"ref": "georgevlch/pnd-12-256x256", "kernel_id": "51136614"}, {"ref": "geovls/pnd-14-256x256", "kernel_id": "51135324"}, {"ref": "geovls/18-192x192", "kernel_id": "51035587"}, {"ref": "geovls/test-24-256x256", "kernel_id": "51032457"}, {"ref": "mahmoudessam19993/panda-download-this-yarab-tiles", "kernel_id": "51720136"}, {"ref": "nirmalgaud/prostrate-cancer", "kernel_id": "53547662"}, {"ref": "trunghiu211/train-baseline-model-1st", "kernel_id": "53236850"}, {"ref": "nirmalgaud/prostrate-cancer-machine-learning", "kernel_id": "54252833"}, {"ref": "avishekrauniyar/prostrate-cancer-machine-learning", "kernel_id": "54762928"}, {"ref": "user12983726/panda-concat-tile-pooling-clean-change", "kernel_id": "56733336"}, {"ref": "user12983726/panda-concat-tile-pooling-inference-clean-change", "kernel_id": "56733337"}, {"ref": "krunalkevadiya/prostrate-cancer-machine-learning", "kernel_id": "56804210"}, {"ref": "krunalkevadiya/prostate-cancer-assessment-panda", "kernel_id": "56827763"}, {"ref": "souhaildaoued/prostate-cancer-and-grade-assessment-group-f", "kernel_id": "56016043"}, {"ref": "avishekrauniyar/enetb7", "kernel_id": "57480468"}, {"ref": "souhaildaoued/classification-de-cancer", "kernel_id": "57436413"}, {"ref": "mortezahajiabadi/panda-singlenet-submit", "kernel_id": "58141215"}, {"ref": "mortezahajiabadi/12th-place-solution-quick-save-inference", "kernel_id": "58141593"}, {"ref": "avishekrauniyar/assignment-4345b1", "kernel_id": "58187785"}, {"ref": "aryan21bai1607/prostrate-cancer-gleason-team8", "kernel_id": "58257483"}, {"ref": "llavesita/prostata-neural-network-homework", "kernel_id": "58839296"}, {"ref": "hrithikmajumdar/prostrate-cancer-grade-classification", "kernel_id": "61043973"}, {"ref": "gottapuhitesh/ramana-paper-3", "kernel_id": "66888391"}, {"ref": "avishekrauniyar/densenet", "kernel_id": "66598316"}, {"ref": "avishekrauniyar/acm-intern", "kernel_id": "66744479"}, {"ref": "natashasharma1996/prostate-cancer-detection-in-python-ml-natasha", "kernel_id": "67941488"}, {"ref": "ewillis199/display-masks-panda", "kernel_id": "68437065"}, {"ref": "natashasharma1996/prostate-cancer-new-method-varmil-natasha", "kernel_id": "71989524"}, {"ref": "natashasharma1996/prostate-cancer-dl-methods-natasha-final", "kernel_id": "72205657"}, {"ref": "indeedinspiring/prostate-cancer-in-depth-understanding-eda-model", "kernel_id": "76908229"}, {"ref": "boochd/train-efficientnet-b0-w-36-tiles-256-lb0-87-my", "kernel_id": "76800656"}, {"ref": "sietze535/panda-concat-tile-pooling-starter-stainnorm", "kernel_id": "81569144"}, {"ref": "sietze535/mini-panda", "kernel_id": "81847962"}, {"ref": "sietze535/panda-starter-inference-stainnorm", "kernel_id": "81914758"}, {"ref": "akhilravella1404/prostate-cancer-detection-2", "kernel_id": "82417113"}, {"ref": "akhilravella1404/prostate-cancer-detection-1", "kernel_id": "82380123"}, {"ref": "vamshienugula/prostate-cancer-detection-2", "kernel_id": "82271722"}, {"ref": "vamshienugula/prostate-cancer-detection-1", "kernel_id": "82430302"}, {"ref": "venkataganapathi/prostate-cancer", "kernel_id": "85854851"}, {"ref": "jaisoonbaek/prostate-cancer-grade-assessment", "kernel_id": "86441358"}, {"ref": "jaisoonbaek/notebookcbb6599dc8", "kernel_id": "86445065"}, {"ref": "gabrielml45/panda-challange", "kernel_id": "91886634"}, {"ref": "hitesh66/team-23", "kernel_id": "98591054"}, {"ref": "meghaaaexeeeeee/pr-team23", "kernel_id": "98595298"}, {"ref": "gabrielcabas/cmm-summer-course-2026", "kernel_id": "106311339"}, {"ref": "baogialee/train-efficientnet-b0-w-36-tiles-256-fb882a1501", "kernel_id": "106733201"}, {"ref": "chiranshuarya/richa", "kernel_id": "107544254"}, {"ref": "harineetha/fyproj-26", "kernel_id": "108433589"}, {"ref": "chiranshuarya/swin-transformer-based-prototype", "kernel_id": "110165489"}, {"ref": "anna227jung/ch03-06-ch04-05-ch04-06", "kernel_id": "112249616"}, {"ref": "chawkibelhaddad/notebooka4454f8c41", "kernel_id": "113993429"}, {"ref": "lachicarre/notebookc15d76c741", "kernel_id": "114253181"}, {"ref": "chiranshuarya/baseline-swin-model", "kernel_id": "116557032"}, {"ref": "teunvang/aimi-panda-challenge-training", "kernel_id": "118382532"}, {"ref": "teunvang/aimi-panda-challenge-inference", "kernel_id": "118394721"}, {"ref": "adejoe08/notebookb023478972", "kernel_id": "118060500"}, {"ref": "teunvang/panda-20x128x128-tiles", "kernel_id": "122055059"}, {"ref": "nhtnguynad/download-data-pca", "kernel_id": "124468507"}, {"ref": "kalyanampranay/download-panda-dataset-subset-data", "kernel_id": "127562556"}, {"ref": "bejaouikhouloud/notebookd396f25bea", "kernel_id": "128822493"}, {"ref": "nhtnguynad/notebook474b7e309d", "kernel_id": "128831582"}]}
{"competition_id": "18648", "kernels": [{"ref": "unkownhihi/kernel-lb-score-bug", "kernel_id": "4338832"}, {"ref": "lextoumbourou/plant-pathology-2020-eda-training-fastai2", "kernel_id": "8351513"}, {"ref": "lextoumbourou/plant-2020-cutmix-tpu", "kernel_id": "8714183"}, {"ref": "lextoumbourou/pp-2020-adversarial-validation", "kernel_id": "8640956"}, {"ref": "lextoumbourou/plant-2020-plant-village-transfer-learning-tpu", "kernel_id": "8765099"}, {"ref": "dataraj/fastai-tutorial-for-image-classification", "kernel_id": "8662947"}, {"ref": "crained/fastai-plant-pathology-recognition", "kernel_id": "8602492"}, {"ref": "ibraheemmoosa/plant-pathology-fgvc7-fastai", "kernel_id": "8706155"}, {"ref": "parulpandey/eda-histograms-color-spaces-masking", "kernel_id": "8731782"}, {"ref": "parulpandey/overview-of-popular-image-augmentation-packages", "kernel_id": "8540048"}, {"ref": "abhishek4273/classification-using-monk-pytorch-keras-mxnet", "kernel_id": "8594167"}, {"ref": "mamamot/fastai-v2-example", "kernel_id": "8463768"}, {"ref": "sassy19a/plant-pathology-2020-keras-efficientnet7", "kernel_id": "8377712"}, {"ref": "tanlikesmath/plant-pathology-fastai2-se-resnext50", "kernel_id": "8645003"}, {"ref": "neelambuj717/plant-pathology-fgvc7-pytorch-kernel", "kernel_id": "8965510"}, {"ref": "jagannathrk/plant-pathology-2020", "kernel_id": "8361622"}, {"ref": "seefun/ensemble-top-kernels", "kernel_id": "8640451"}, {"ref": "jabertuhin/plant-pathology-with-pytorch-lightning", "kernel_id": "8472196"}, {"ref": "pestipeti/eda-plant-pathology-2020", "kernel_id": "8349110"}, {"ref": "pestipeti/plant-pathology-2020-pytorch", "kernel_id": "8327011"}, {"ref": "anubhav1302/plantdisease-tf-tpu", "kernel_id": "8345113"}, {"ref": "veritasium42/fork-plant-pathology-2020-pytorch", "kernel_id": "8659337"}, {"ref": "ryches/sdml-starter", "kernel_id": "8517442"}, {"ref": "diamondra/plant-panthology-cnn", "kernel_id": "8332249"}, {"ref": "vbookshelf/apple-leaf-health-analyzer-w-web-interface", "kernel_id": "8351536"}, {"ref": "grapestone5321/plant-pathology-2020-sample-submission", "kernel_id": "8329788"}, {"ref": "miklgr500/plant-pathology-very-concise-tpu-efficientnetb5", "kernel_id": "8445354"}, {"ref": "ar2017/plant-panthology-inceptresnetv2-enetb7", "kernel_id": "8905162"}, {"ref": "arpytanshu/plant-pathology-2020-resnet-pytorch", "kernel_id": "8553784"}, {"ref": "sanikamal/preprocessing-image-with-tf-image-module", "kernel_id": "8692871"}, {"ref": "shawon10/plant-pathology-classification-using-densenet121", "kernel_id": "8344601"}, {"ref": "shawon10/plant-pathology-eda-and-deep-cnn", "kernel_id": "8338662"}, {"ref": "ateplyuk/fork-of-plant-2020-tpu-915e9c", "kernel_id": "8506911"}, {"ref": "lachhebo/plant-pathology", "kernel_id": "8959892"}, {"ref": "tarunpaparaju/plant-pathology-2020-eda-models", "kernel_id": "8345935"}, {"ref": "lov4jin/densenet-imagenet-pretrained-vs-retrained-gradcam", "kernel_id": "8951673"}, {"ref": "sujoykg/keras-densenet-with-regularization-fine-tuning", "kernel_id": "8661497"}, {"ref": "parmarsuraj99/miltiple-plants-on-tpu", "kernel_id": "8737338"}, {"ref": "basu369victor/cycle-gan-to-balance-imbalanced-diseased-leaves", "kernel_id": "8453320"}, {"ref": "cdk292/fork-of-resnet50-keras-with-r", "kernel_id": "8873454"}, {"ref": "manyregression/fastai2-in-few-lines", "kernel_id": "8963333"}, {"ref": "a03102030/plant-pathology-2020-resnet50", "kernel_id": "8883615"}, {"ref": "chtalhaanwar/keras-efficientnet", "kernel_id": "8375339"}, {"ref": "akashsuper2000/plant-pathology-enetb7-on-tpus", "kernel_id": "8937541"}, {"ref": "akashsuper2000/ensemble-top-kernels", "kernel_id": "8912523"}, {"ref": "akashsuper2000/tpu-incepresnetv2-enb7", "kernel_id": "8912540"}, {"ref": "akashsuper2000/classification-densenet201-efficientnetb7", "kernel_id": "8912555"}, {"ref": "aziz69/efficientnetb7-tpu-tta-top-1", "kernel_id": "8377195"}, {"ref": "maddy238/transfer-learning-with-keras-for-classfication", "kernel_id": "8505590"}, {"ref": "samarthsarin/resnet-pytorch", "kernel_id": "8541937"}, {"ref": "jamesdiplomat/ml-pipeline-2-for-plant-diseases", "kernel_id": "8929687"}, {"ref": "vishalrao2000/plant-pathology", "kernel_id": "8991684"}, {"ref": "aravindagayan2018/plant-pathology-2020-densenet", "kernel_id": "8771263"}, {"ref": "victorlouisdg/plant-pathology-opencv-background-removal", "kernel_id": "8567693"}, {"ref": "xhlulu/plant-pathology-very-concise-tpu-efficientnet", "kernel_id": "8329882"}, {"ref": "bluewizard/plant-pathology-prediction-with-efficientnet", "kernel_id": "8707480"}, {"ref": "velbal/pathology-view-pics", "kernel_id": "8836196"}, {"ref": "chariots17/using-convolutional-neural-network", "kernel_id": "8425542"}, {"ref": "wadedoak/plant-patho-beg", "kernel_id": "8970728"}, {"ref": "lkatran/basic-guide-for-beginner-using-tf-zoo-models", "kernel_id": "8446670"}, {"ref": "lkatran/tf-zoo-models-on-tpu", "kernel_id": "8475971"}, {"ref": "vaishvik25/efficientnet-5x-models-5x-optimizers", "kernel_id": "8902173"}, {"ref": "gauravr31/apple-leaf-disease-identification-kernel", "kernel_id": "8925060"}, {"ref": "vasudhatapriya/artificial-intelligence-review-1", "kernel_id": "8796069"}, {"ref": "meemr5/plant-pathology-2020-eda-ia-ip-models", "kernel_id": "8474478"}, {"ref": "nixonz/plant-pathology-using-tpu-densenetmoblile", "kernel_id": "8580668"}, {"ref": "khiwila/kernel37b4718519", "kernel_id": "8474197"}, {"ref": "sovitrath/pytorch-effcientnet-b3-baseline", "kernel_id": "8683361"}, {"ref": "knaoaki/pytorch-resnet50-validation", "kernel_id": "8696432"}, {"ref": "serendipity09/plant-pathology-2020-viz-efficientnet-modelling", "kernel_id": "8538727"}, {"ref": "ajax0564/plant-pathology", "kernel_id": "8389848"}, {"ref": "ajax0564/kernel427156046d", "kernel_id": "8336060"}, {"ref": "redwankarimsony/tpu-incepresnetv2-enb7", "kernel_id": "8686527"}, {"ref": "otzhora/fastai-models-experiments", "kernel_id": "8510766"}, {"ref": "inseltiger/plant-pathology-2020-with-custom-tensorflow-cnn", "kernel_id": "8774559"}, {"ref": "nkovida/plant-pathology", "kernel_id": "8660097"}, {"ref": "anyexiezouqu/tpu-tensorflow2-0-978score", "kernel_id": "8435119"}, {"ref": "anyexiezouqu/tpu-5k-fold-efficientnet-b5", "kernel_id": "8462927"}, {"ref": "iamsdt/plants-tpu-classifications", "kernel_id": "8860815"}, {"ref": "welkinfeng/plant-pathology-pytorch-efficientnet-b4-gpu", "kernel_id": "8592702"}, {"ref": "welkinfeng/plant-pathology-pytorch-tpu-efficientnet-b4", "kernel_id": "8574753"}, {"ref": "welkinfeng/plant-pathology-generate-npy-data", "kernel_id": "8574028"}, {"ref": "chiraggodaw/plant-pathology", "kernel_id": "8488980"}, {"ref": "arnimen5/plant-keras-resnet-tta", "kernel_id": "8895840"}, {"ref": "ahmedabdelfattah20/ensemble-learning-googlenet-resnet", "kernel_id": "8913923"}, {"ref": "tailtq/forked-plant-pathology-2020-eda-models", "kernel_id": "8876696"}, {"ref": "xarshila/plant-pathology-densenet201-pytorch-ipynb", "kernel_id": "8467086"}, {"ref": "vaishuvrvl/kernelf9f01e399c", "kernel_id": "8576091"}, {"ref": "yagnasrip2/yagna-pathology", "kernel_id": "8384275"}, {"ref": "karemchatti/transferlearning-effecientnet-tpu", "kernel_id": "8729892"}, {"ref": "piantic/plant-pathology-2020-pytorch-for-beginner", "kernel_id": "8769537"}, {"ref": "piantic/pytorch-tpu", "kernel_id": "8802165"}, {"ref": "piantic/start-with-pytorch-using-efficientnet-b7", "kernel_id": "8860324"}, {"ref": "jhayescao/inceptionresnetv2", "kernel_id": "8632602"}, {"ref": "droidstar2426/plant-pathology-2020-with-keras-and-densenet", "kernel_id": "8979350"}, {"ref": "gabriamef/plant-pathology-2020", "kernel_id": "8686969"}, {"ref": "ganeshmundra/average-efficientnet", "kernel_id": "8471396"}, {"ref": "ganeshmundra/basic-guide-for-beginner-using-vgg16", "kernel_id": "8389960"}, {"ref": "marcossantanauff/fastai-plant-pathology-2020", "kernel_id": "8772731"}, {"ref": "nickteim/fast-ai-v3-plant-pathology1", "kernel_id": "8532080"}, {"ref": "bajuyan/fork-of-plant-2020-tpu-915e9c", "kernel_id": "8609165"}, {"ref": "dimakyn/classification-densenet201-efficientnetb7", "kernel_id": "8379633"}, {"ref": "sinchubhat/plantpathologyusingmonk", "kernel_id": "8863270"}, {"ref": "fkdplc/plant-patology-starter-baseline-using-keras-cnn", "kernel_id": "8421098"}, {"ref": "fkdplc/plant-patology-snapshot-ensemble", "kernel_id": "8473090"}, {"ref": "rkgosar/plant-pathology-with-pandas-cv2-keras", "kernel_id": "8935142"}, {"ref": "urayukitaka/convolutional-neural-network-plant-pathology", "kernel_id": "8889717"}, {"ref": "urayukitaka/image-pre-processing-and-densenet", "kernel_id": "8886479"}, {"ref": "tathagatbanerjee/plant-disease-analytics", "kernel_id": "8850775"}, {"ref": "davidhiggins/fastai-with-resnet50", "kernel_id": "8569803"}, {"ref": "vivekvivek13/plant-pathology-using-tpu", "kernel_id": "8799204"}, {"ref": "akasharidas/plant-pathology-2020-in-pytorch", "kernel_id": "8996878"}, {"ref": "blackdereker/plant-disease-detection", "kernel_id": "8695219"}, {"ref": "vishnudarshan/master-plant-pythology", "kernel_id": "8707383"}, {"ref": "shubhamai/predicting-plant-disease", "kernel_id": "8797528"}, {"ref": "temuller/plant-pathology-2020", "kernel_id": "8822326"}, {"ref": "drali313/densenet", "kernel_id": "8731413"}, {"ref": "shivam17818/kaggle-new-problem", "kernel_id": "8394549"}, {"ref": "omezario/plantpathology-2020-image-training", "kernel_id": "8892933"}, {"ref": "makkothari/kernel2bd249fe13", "kernel_id": "8631807"}, {"ref": "makkothari/classification-using-monk-pytorch-keras-mxnet", "kernel_id": "8784304"}, {"ref": "ronyroy/effnet-fastai-folds-x5", "kernel_id": "9117198"}, {"ref": "ibraheemmoosa/plant-pathology-2020-fgvc7-fastai-r18", "kernel_id": "9221571"}, {"ref": "viiids/transfer-learning-with-class-weights", "kernel_id": "9270366"}, {"ref": "parikshit23/quick-and-dirty-cnn-using-pytorch", "kernel_id": "9166808"}, {"ref": "stochasticats/detecting-foliar-disease-with-keras-mobilenet", "kernel_id": "9003309"}, {"ref": "truonghoang/ensemble-top-submit", "kernel_id": "9540329"}, {"ref": "carloalbertobarbano/0-963-in-under-20-minutes-with-pytorchtrainutils", "kernel_id": "9451936"}, {"ref": "ichijo/plant-pathology-2020-easy-keras", "kernel_id": "9445550"}, {"ref": "benjibb/devise", "kernel_id": "9057284"}, {"ref": "immune/beginner-plant-pathology-eda-w-mplot3d", "kernel_id": "9581306"}, {"ref": "nightwolfbrooks/data-augmentation-and-keras-cnn", "kernel_id": "9395942"}, {"ref": "yash276/plantpathology2020-keras-cnn", "kernel_id": "9421459"}, {"ref": "iamprateek/plant-is-healthy-or-not", "kernel_id": "9949007"}, {"ref": "salilm23/plants-fastai", "kernel_id": "9192502"}, {"ref": "v3dsingh/fast-ai-plant-pathology", "kernel_id": "9582492"}, {"ref": "mhcrnl/01-plant-patology", "kernel_id": "9393924"}, {"ref": "jimitshah777/from-loading-data-to-submission-in-keras", "kernel_id": "9286510"}, {"ref": "jimitshah777/bilinear-efficientnet-focal-loss-label-smoothing", "kernel_id": "9728355"}, {"ref": "lvalue/preprocess", "kernel_id": "9078242"}, {"ref": "datadote/plants2020-fastai2", "kernel_id": "9580999"}, {"ref": "upsunny/densenet-efficientnet-models", "kernel_id": "9640732"}, {"ref": "ooo256/decision-tree2", "kernel_id": "9105705"}, {"ref": "skeef79/image-segmentation-extended-data", "kernel_id": "9593717"}, {"ref": "skeef79/plant-pathology-2020-efficientnetb7-0-980-score", "kernel_id": "9442284"}, {"ref": "syamkakarla/plant-pathology-inceptionresnetv2", "kernel_id": "9090471"}, {"ref": "apthagowda/plant-pathology-2020-pytorch-gpu", "kernel_id": "9248419"}, {"ref": "apthagowda/plant-pathology-2020-tenserflow-tpu-stratifiedfold", "kernel_id": "9340873"}, {"ref": "apthagowda/plant-pathology-2020-tenserflow-tpu", "kernel_id": "9281463"}, {"ref": "cdk292/galton-s-ensembling", "kernel_id": "9706557"}, {"ref": "cdk292/simple-resnet50-lr-finder-and-cyclic-lr-with-r", "kernel_id": "9662550"}, {"ref": "manyregression/private-fastai2-in-few-lines", "kernel_id": "9084649"}, {"ref": "abhiswain/pytorch-lightning-resnet50-simple-baseline", "kernel_id": "9240747"}, {"ref": "abhiswain/pytorch-tpu-efficientnet-b5-tutorial-reference", "kernel_id": "9365314"}, {"ref": "akashsuper2000/enet-plant-pathology", "kernel_id": "9005681"}, {"ref": "akashsuper2000/ensemble-top-kernels-2b9951", "kernel_id": "9562569"}, {"ref": "searchingman/tugas-linear", "kernel_id": "9182494"}, {"ref": "biruk1230/tpu-ensemble-effnb7-effnb6-inceptresnetv2-etc", "kernel_id": "9264007"}, {"ref": "psaikko/feature-extraction-and-xgboost", "kernel_id": "9080141"}, {"ref": "tiboas/keras-cnn-for-plant-pathology-2020", "kernel_id": "9280685"}, {"ref": "mohaned47/eagriculture-team-supcom", "kernel_id": "9873061"}, {"ref": "slipclutch/resnet50-tl", "kernel_id": "9071420"}, {"ref": "slipclutch/fork-of-resnet50-tl", "kernel_id": "9323064"}, {"ref": "slipclutch/exception-model-with-image-augmentation", "kernel_id": "9379496"}, {"ref": "whatsinthename/cnn-best-submission-modified", "kernel_id": "9396986"}, {"ref": "muellerzr/resnet152-with-tta-and-fine-tune-fastai2", "kernel_id": "9551154"}, {"ref": "muellerzr/plant-pathology-fastai2-exploration", "kernel_id": "9500173"}, {"ref": "cqcx64/plant-pathology-2020-mxnet-version", "kernel_id": "9006346"}, {"ref": "devchriscross/plant-pathology-2020", "kernel_id": "9132901"}, {"ref": "chichkin/plant-pathology-cat-boost", "kernel_id": "9226798"}, {"ref": "fireheart7/eda-cum-image-processing", "kernel_id": "9587768"}, {"ref": "amankimothi100/plant-pathology-fastai2-starter-with-resnet152", "kernel_id": "9014076"}, {"ref": "balogi85/patolog", "kernel_id": "9491484"}, {"ref": "yaheaal/top-4-lb", "kernel_id": "9748121"}, {"ref": "kausikn/plantpathology-efficientnet", "kernel_id": "9163774"}, {"ref": "vatsalparsaniya/plant-pathology-resnet50-xception-inceptionv3", "kernel_id": "9128615"}, {"ref": "redwankarimsony/the-great-ensembler-0-982", "kernel_id": "9669854"}, {"ref": "redwankarimsony/ensemble-top-kernels-with-entropy", "kernel_id": "9504021"}, {"ref": "kuromaguro/plant-pathology-tpu-mixup", "kernel_id": "9502954"}, {"ref": "anupreetbhatia8/66th-place-solution-using-efficient-net-b5", "kernel_id": "9442405"}, {"ref": "layediop/plant-pathology", "kernel_id": "9543386"}, {"ref": "akulah/hyperparametertuningusingmonk", "kernel_id": "9550177"}, {"ref": "gb00000/plant-transfer-learning", "kernel_id": "9348841"}, {"ref": "kasayu/plant-pathology-effnets", "kernel_id": "9529071"}, {"ref": "gc1023/ensemble-top-kernels", "kernel_id": "9465884"}, {"ref": "anindabhattacharjee/plant-pathology-2020-fgvc7", "kernel_id": "9167686"}, {"ref": "awadhi123/plant-panthology", "kernel_id": "9054132"}, {"ref": "pierrevincent/ensemble-efficientnet-xception-resnet-4e3744", "kernel_id": "9526928"}, {"ref": "mehdislim01/transfer-learning-agressive-learning-schedule", "kernel_id": "9099460"}, {"ref": "meysonua/the-greater-ensembler-0-983", "kernel_id": "9674478"}, {"ref": "rajanarasimhan/plant-pathology-2020-pytorch-d29f9e", "kernel_id": "9076731"}, {"ref": "bineeshsps/plant-pathology-mobilenet-fine-tunning", "kernel_id": "9213520"}, {"ref": "ndhpro/plant-pathology-2020-efficientnet", "kernel_id": "9502116"}, {"ref": "talalhassan141/plant-pathology-cnn", "kernel_id": "9097367"}, {"ref": "lewisgmorris/image-segmentation-using-detectron2", "kernel_id": "9147642"}, {"ref": "rupeish26/plant-fastai", "kernel_id": "9665637"}, {"ref": "rupeish26/kernel6265f68053", "kernel_id": "9634390"}, {"ref": "akskshay007/plant-pathology", "kernel_id": "9090262"}, {"ref": "nickteim/plants-tpu", "kernel_id": "9199404"}, {"ref": "victoriavolokhina/plant-pathology-2020-transfer-learning-stacking", "kernel_id": "9323350"}, {"ref": "aryaprince/pytorch-model", "kernel_id": "9353847"}, {"ref": "julenarizaga/generate-folders", "kernel_id": "9403546"}, {"ref": "julenarizaga/data-balancing-model-with-data-augmentation", "kernel_id": "9403913"}, {"ref": "razasaleemi/the-great-ensembler-0-982", "kernel_id": "9623501"}, {"ref": "benboren/plant-metalearning", "kernel_id": "9614928"}, {"ref": "abhigyansingh/kernel537814664b", "kernel_id": "9238046"}, {"ref": "urayukitaka/comparing-resnet-model", "kernel_id": "9280205"}, {"ref": "urayukitaka/comparing-incept-nasnetmobi", "kernel_id": "9301239"}, {"ref": "amboou/plant-detector", "kernel_id": "9159267"}, {"ref": "thejeshm/plant-pathology", "kernel_id": "9587531"}, {"ref": "zekromaegis/plant-pathology", "kernel_id": "9431607"}, {"ref": "sakshamaggarwal/basic-pytorch-pretrained-models-ensemble", "kernel_id": "9490935"}, {"ref": "lz1997/so-many-tricks-v1-0-for-plant-pathology", "kernel_id": "9037895"}, {"ref": "kapbi4/pytorch-custommodel-224x224noaug-0-843", "kernel_id": "9609008"}, {"ref": "bluejangbaljang/kernel70b294dc7b", "kernel_id": "9079011"}, {"ref": "saumandas/smote-with-inceptionresnet", "kernel_id": "9480959"}, {"ref": "oksanagerasimets/plant-pathology-2020-with-keras", "kernel_id": "9045021"}, {"ref": "hrittikaghosh/plant-pathology", "kernel_id": "9118108"}, {"ref": "akantorntw/plant", "kernel_id": "9074819"}, {"ref": "abdilatifssou/sample-use-of-efficientnetb7-achieved-97-8", "kernel_id": "9906399"}, {"ref": "bhaveshkotwani/plant-pathology-with-tpu-efficientnetb0", "kernel_id": "9550459"}, {"ref": "bhaveshkotwani/using-tpu-and-efficientnet-for-plant-pathological", "kernel_id": "9688221"}, {"ref": "presita/apple-disease-fastai2", "kernel_id": "9491418"}, {"ref": "hotaken/kernel59dc3ee669", "kernel_id": "9470740"}, {"ref": "nataliamityagina/kernel377806384e", "kernel_id": "9569817"}, {"ref": "nataliamityagina/kernel100c012c77", "kernel_id": "9275500"}, {"ref": "lachhebo/dojo-datascience-3", "kernel_id": "10217090"}, {"ref": "cdk292/efficientnet0-with-r", "kernel_id": "10571647"}, {"ref": "googlemkunthe/plant-pathology", "kernel_id": "10963831"}, {"ref": "santhoshdatasc/pdd-data", "kernel_id": "10010419"}, {"ref": "fireheart7/leaf-disease-main-notebook", "kernel_id": "10375900"}, {"ref": "kmldas/efficientnetb7-on-tpus-top-2-solution", "kernel_id": "10627676"}, {"ref": "kmldas/efficientnet-b7-fastai2-for-multiclass-gpus", "kernel_id": "10625882"}, {"ref": "naimur978/plant-pathology-eda-stratified-cv-tta", "kernel_id": "10734657"}, {"ref": "ivankalinchuk/plant-pathology-notebook", "kernel_id": "10998175"}, {"ref": "tahayassinebenali/dojo-team-lena", "kernel_id": "10287263"}, {"ref": "linyuanpapapa/cnndemo1", "kernel_id": "10743943"}, {"ref": "nizamudeen77/kernel550420481a", "kernel_id": "10943279"}, {"ref": "yaoyi970403/plant-pathology-project-1", "kernel_id": "10511736"}, {"ref": "hejing187/leave-change-epoch", "kernel_id": "10128523"}, {"ref": "seaceved/plant-disease-classification-using-keras-cnn", "kernel_id": "10125170"}, {"ref": "divyayesudas/pdd-vgg16-dy-ii", "kernel_id": "10502997"}, {"ref": "divyayesudas/pdd-data", "kernel_id": "10012486"}, {"ref": "swadhashah/plant-pathology-2020-eda-models", "kernel_id": "10935869"}, {"ref": "nagsdata/plant-pathology-simple-cnn", "kernel_id": "11236288"}, {"ref": "stochasticats/plant-pathology-2020-keras-resnet50-fine-tune", "kernel_id": "11814814"}, {"ref": "avinashbeck/plant-disease-classification", "kernel_id": "11619503"}, {"ref": "carlolepelaars/evaluating-mobile-cnn-architectures-with-w-b", "kernel_id": "11128017"}, {"ref": "googlemkunthe/plant-pathology-e", "kernel_id": "11328292"}, {"ref": "nicholasjhana/tensorflow-multi-classification-transfer-learning", "kernel_id": "11886984"}, {"ref": "haoxuandong/plant-pathology-2020-eda-models-copy", "kernel_id": "11197666"}, {"ref": "rajaraman6195/crop-disease", "kernel_id": "11748095"}, {"ref": "kidoen/plantpathology-vgg-keras", "kernel_id": "11600376"}, {"ref": "b11gden/plant", "kernel_id": "11190866"}, {"ref": "mfujii/plant-pathology-efn-dnn-4", "kernel_id": "11980698"}, {"ref": "mfujii/plant-pathology-efn-dnn-2", "kernel_id": "11950970"}, {"ref": "mfujii/plant-pathology-efn-dnn-3", "kernel_id": "11952921"}, {"ref": "mfujii/plant-pathology-efn-dnn-1", "kernel_id": "11949983"}, {"ref": "ashrafkhan94/plant-pathology-image-processing", "kernel_id": "11948684"}, {"ref": "shubhamai/plant-disease", "kernel_id": "11176108"}, {"ref": "stardust87/plant-pathology-2020-inference", "kernel_id": "11879644"}, {"ref": "stardust87/plant-pathology-2020-training", "kernel_id": "11857957"}, {"ref": "stardust87/plant-pathology-2020-ensemble", "kernel_id": "11940298"}, {"ref": "gamebo11/plantpathology", "kernel_id": "11288697"}, {"ref": "riteshmanna/plant-disease-classification", "kernel_id": "11356152"}, {"ref": "aaghashr/plant-pathology", "kernel_id": "11049384"}, {"ref": "hamonk/plant-pathology-fastai", "kernel_id": "12988238"}, {"ref": "alekseyeliseev/plant-pathology-keras-inceptionresnetv2-baseline", "kernel_id": "12443219"}, {"ref": "alekseyeliseev/plant-pathology-keras-seresnet-baseline", "kernel_id": "12640376"}, {"ref": "alekseyeliseev/plant-pathology-keras-efficientnetb3-baseline", "kernel_id": "12649687"}, {"ref": "zeeshan99/plant-pathology-2020-submission-file", "kernel_id": "12703918"}, {"ref": "zeeshan99/plant-pathology-2020-tpu", "kernel_id": "12722008"}, {"ref": "vasudhatapriya/review-2", "kernel_id": "12180619"}, {"ref": "ikaynov/basic-notebook", "kernel_id": "12526916"}, {"ref": "jinfanhahaha1/plant-pathology", "kernel_id": "12661563"}, {"ref": "siddharthaverma/review-2", "kernel_id": "12181328"}, {"ref": "siddharthaverma/review-2-ai", "kernel_id": "12185651"}, {"ref": "sajidali22/fastai-resnet34", "kernel_id": "12067751"}, {"ref": "andreigorbachyow/inceptionresnetv2-26ep", "kernel_id": "12470699"}, {"ref": "evgenh76434/plant-pathology-keras-efficientnetb4-baseline", "kernel_id": "12650881"}, {"ref": "evgenh76434/plant-pathology-keras-inceptionresnetv2-baseline", "kernel_id": "12623838"}, {"ref": "evgenh76434/fork-of-plant-pathology-keras-efficientnetb4-epoch", "kernel_id": "12688991"}, {"ref": "evgenh76434/plant-pathology-keras-efficientnet-augmentation", "kernel_id": "12694443"}, {"ref": "mfujii/plant-pathology-efn-dnn-rsn", "kernel_id": "12186090"}, {"ref": "mfujii/plant-pathology-efn-dnn-rsn-vgg", "kernel_id": "12200931"}, {"ref": "mfujii/plant-pathology-densenet", "kernel_id": "12822657"}, {"ref": "mfujii/plant-pathology-efficientnet", "kernel_id": "12824272"}, {"ref": "mfujii/plant-pathology-vgg", "kernel_id": "12861231"}, {"ref": "mfujii/plant-pathology-resnet", "kernel_id": "12860185"}, {"ref": "harshitlakhani/plant-pathology-pytorch-resnet50-93-15", "kernel_id": "12055543"}, {"ref": "normall777/my-ensemble", "kernel_id": "12933907"}, {"ref": "normall777/tf-zoo-models-on-tpu-efficientnetb7", "kernel_id": "12912942"}, {"ref": "moritakoji/plant-pathology-efn-dnn-3", "kernel_id": "12455007"}, {"ref": "tsuchiyahiroaki/plant-pathology-efn-dnn-2", "kernel_id": "12483195"}, {"ref": "ogawanaoyuki/plant-pathology-efn-dnn-4", "kernel_id": "12449639"}, {"ref": "chitramdasgupta/plant-pathology-xception-93-873-accuracy", "kernel_id": "12370309"}, {"ref": "nikdroid/3-data-augmentation-and-tf-keras-cnn", "kernel_id": "12624955"}, {"ref": "plushevyj/plant-pathology-keras-seresnet-baseline", "kernel_id": "12648120"}, {"ref": "plushevyj/plant-pathology-keras-inceptionresnetv2-baseline", "kernel_id": "12469914"}, {"ref": "shalinigupta0494/plant-pathology-inceptionv3-project", "kernel_id": "12620725"}, {"ref": "shalinigupta0494/notebookcaeee1244b", "kernel_id": "12598212"}, {"ref": "hamonk/plant-pathology-fastai-seresnext50", "kernel_id": "13151127"}, {"ref": "hamonk/let-s-find-out-duplicate-images-with-imagehash", "kernel_id": "13585880"}, {"ref": "sarathydw/parthapath", "kernel_id": "13233465"}, {"ref": "dahouda/plant-pathology-2020", "kernel_id": "13100391"}, {"ref": "ikaynov/denesnet-tta", "kernel_id": "13080913"}, {"ref": "anku5hk/tpu-plant-pathology-baseline", "kernel_id": "13095129"}, {"ref": "anku5hk/tpu-plant-pathology-advance", "kernel_id": "13100231"}, {"ref": "anku5hk/simple-submission", "kernel_id": "13142033"}, {"ref": "evgenh76434/fork-of-plant-pathology-keras-efficientnet-123", "kernel_id": "13441593"}, {"ref": "sudharsanvijayraghav/plant", "kernel_id": "13253304"}, {"ref": "luisfmcuriel/plant-pathology", "kernel_id": "13139213"}, {"ref": "duyanhphilippepham/image-processing-fourier-transform-densenet", "kernel_id": "13570619"}, {"ref": "poonamch/plant-pathology-project", "kernel_id": "13343736"}, {"ref": "varlou23/tf-zoo-models-on-tpu", "kernel_id": "13381419"}, {"ref": "denismetelev/tf-zoo-models-on-tpu", "kernel_id": "13711447"}, {"ref": "plushevyj/fork-of-plant-pathology-keras-seresnet-baseline", "kernel_id": "13056879"}, {"ref": "florinactlinaanghel/plant-pathology-notebook-sequential-keras-model", "kernel_id": "13102187"}, {"ref": "florinactlinaanghel/fork-of-plant-pathology-notebook-sequential-keras", "kernel_id": "13862866"}, {"ref": "florinactlinaanghel/fork-of-plant-pathology-notebook-sequential-try-3", "kernel_id": "13882636"}, {"ref": "kozodoi/prepare-dataset-2", "kernel_id": "14084312"}, {"ref": "chizuchizu/tpu-lightning-1", "kernel_id": "14905915"}, {"ref": "nobletp/cycle-gan-to-balance-imbalanced-diseased-leaves", "kernel_id": "14360370"}, {"ref": "akataev96/tf-zoo-models-on-tpu-ensemble", "kernel_id": "14169828"}, {"ref": "sumitkrai/plant-pathology-using-pytorch-ppp-0-94167", "kernel_id": "14931474"}, {"ref": "borissobol/notebook881daaf5a2", "kernel_id": "14052004"}, {"ref": "maazanzarfarooqui/pathology-image-classification", "kernel_id": "14877210"}, {"ref": "sarcastrophe/data-augmentation", "kernel_id": "14376597"}, {"ref": "upsunny/densenet121-mobilenetv2", "kernel_id": "15491318"}, {"ref": "kaerunantoka/plant-baseline", "kernel_id": "15426783"}, {"ref": "kaerunantoka/plant-createtfrecord", "kernel_id": "15398163"}, {"ref": "chizuchizu/fork-of-tpu-train-inf", "kernel_id": "15450193"}, {"ref": "chizuchizu/make-tfrecord-2-list", "kernel_id": "15302078"}, {"ref": "chizuchizu/make-tfrecord", "kernel_id": "15025379"}, {"ref": "chizuchizu/tpu-train-inf", "kernel_id": "15122102"}, {"ref": "chizuchizu/lightning-gpu", "kernel_id": "15184100"}, {"ref": "melihkacaman/plant-pathology-with-keras", "kernel_id": "15058635"}, {"ref": "mikelhpdatke/plant-pathology-2020-efficientnet", "kernel_id": "15329644"}, {"ref": "jp3003/bilinear-efficientnet-focal-loss-label-smoothing", "kernel_id": "15533416"}, {"ref": "bineeshsps/plant-pathology-pytorch", "kernel_id": "15028682"}, {"ref": "siddharth1234/tarp-svc", "kernel_id": "15556517"}, {"ref": "sahilpatial/notebook532558868a", "kernel_id": "15180235"}, {"ref": "syalabiseet/fgvc8-albumentations-cutmix-tfrec", "kernel_id": "15876142"}, {"ref": "loantrng/plant-disease-classification", "kernel_id": "15583669"}, {"ref": "ali313/data-augmentation-and-keras-cnn", "kernel_id": "15398011"}, {"ref": "kaggle1765/trabajo-final-analitica-de-datos", "kernel_id": "15284289"}, {"ref": "ikaynov/homework-leaf-disease-detection", "kernel_id": "16588655"}, {"ref": "aithammadiabdellatif/plant-pathology-opencv-background-removal", "kernel_id": "16632865"}, {"ref": "srishav/apple-leaf-disease-detection-training-kernel", "kernel_id": "16667881"}, {"ref": "masha1998/pp-3-train-fe", "kernel_id": "16970488"}, {"ref": "masha1998/pp-4-finetuning", "kernel_id": "16972771"}, {"ref": "masha1998/pp-2-features", "kernel_id": "16933342"}, {"ref": "masha1998/pp-1-overview", "kernel_id": "16912147"}, {"ref": "nguynvitlong/start-with-pytorch-using-efficientnet-v1", "kernel_id": "16989732"}, {"ref": "jhonyoplac/plant-p-2020", "kernel_id": "16287890"}, {"ref": "windyprofessor/multimedia", "kernel_id": "16714479"}, {"ref": "changmingjie/cmj-final", "kernel_id": "16583863"}, {"ref": "reynaldor/plant-pathology-2020", "kernel_id": "16287889"}, {"ref": "tsegnhsinwei/blast-detection1125", "kernel_id": "16560294"}, {"ref": "loesrijswijk/homework-leaf-disease-detection", "kernel_id": "16751913"}, {"ref": "iwillbes/overview-ofpopularimageaugmentation-packages210610", "kernel_id": "17619203"}, {"ref": "akshitsadana/ritik-review-3", "kernel_id": "17132440"}, {"ref": "gaurav3435/basic-pre-processing", "kernel_id": "17929609"}, {"ref": "foxytang/cvdl-hw01", "kernel_id": "17488508"}, {"ref": "klmsathishkumar/plant-pathology-opencv-background-removal", "kernel_id": "17315023"}, {"ref": "juanpee/plant-pathology-the-power-of-dl-cv", "kernel_id": "17134897"}, {"ref": "ritikkoley/soft-computing-final", "kernel_id": "17109964"}, {"ref": "ritikkoley/review-3", "kernel_id": "17131241"}, {"ref": "mohammadmakahleh/ai-new", "kernel_id": "17152106"}, {"ref": "congngo/dl-nh-m10", "kernel_id": "17897607"}, {"ref": "kacperlisikiewicz/plant-pathology-2020-fgvc7", "kernel_id": "17585128"}, {"ref": "dangnguyenmanh/nhom-8", "kernel_id": "17750807"}, {"ref": "werooring/top-1-efficientnet-solution-with-simple-eda", "kernel_id": "18878717"}, {"ref": "phamquochuy1101/resnet-backbone", "kernel_id": "18370120"}, {"ref": "khoileanh/plant-pathology-exercise", "kernel_id": "18440598"}, {"ref": "trntrungnguyn/notebook8266231ecb", "kernel_id": "18604602"}, {"ref": "anhvuquoc/plantology", "kernel_id": "18601163"}, {"ref": "anhvuquoc/notebook817e5095e2", "kernel_id": "18580513"}, {"ref": "anhvuquoc/notebook2c91a75888", "kernel_id": "18722945"}, {"ref": "bistuzmf/mobilnet", "kernel_id": "18294503"}, {"ref": "nguyentongduchuy/c-l-n-m-i-ng-i-i-acc-99", "kernel_id": "18579220"}, {"ref": "averynurii/plant-pathology-prac", "kernel_id": "19977189"}, {"ref": "werooring/ch12-eda", "kernel_id": "20623661"}, {"ref": "taeheeeekim/notebook4845b69dd1", "kernel_id": "20970513"}, {"ref": "loantrng/plant-disease", "kernel_id": "20720133"}, {"ref": "shikhar0051/plant-disease-detection", "kernel_id": "20834038"}, {"ref": "bistuzmf/mobilenetv3large", "kernel_id": "20454712"}, {"ref": "bistuzmf/resnet", "kernel_id": "20417114"}, {"ref": "bisutudj/apple-disease-zhenghe", "kernel_id": "20104517"}, {"ref": "xiaosiying/apple-disease-zhenghe-1c52a9", "kernel_id": "20269208"}, {"ref": "bistuzc/notebookfb86501be4", "kernel_id": "20503020"}, {"ref": "geochatz/plant-pathology-classification-with-tensorflow", "kernel_id": "21635721"}, {"ref": "chizuchizu/train-inference-using-torchdistill", "kernel_id": "21266977"}, {"ref": "chizuchizu/sam-train-inference-using-torchdistill", "kernel_id": "21278506"}, {"ref": "jabed100/overview-of-popular-image-augmentation-packages", "kernel_id": "21647740"}, {"ref": "bistuzmf/v2-alpha-0-5", "kernel_id": "21525709"}, {"ref": "seyunhan/pbl4-googlenet-training", "kernel_id": "21703839"}, {"ref": "fatemaislam/image-augmentation-imgaug-library", "kernel_id": "21715605"}, {"ref": "phuc16102001/plant-pathology-2020-vgg-style", "kernel_id": "21959962"}, {"ref": "werooring/ch12-modeling2", "kernel_id": "22371414"}, {"ref": "werooring/ch12-baseline", "kernel_id": "22406089"}, {"ref": "werooring/ch12-modeling", "kernel_id": "22436729"}, {"ref": "werooring/ch12-notebook", "kernel_id": "22303872"}, {"ref": "kbraakyz/elma-a-a-lar-yaprak-hastal-klar", "kernel_id": "22220909"}, {"ref": "jinikow/getgcspath", "kernel_id": "22003080"}, {"ref": "miyashitaryuma/avilen-003", "kernel_id": "23460226"}, {"ref": "farhanraflyfahrezi/plant-pathology-gpc", "kernel_id": "24864534"}, {"ref": "kohiya/plant-pathology-2020-playground", "kernel_id": "25068329"}, {"ref": "lkatran/fork-of-tf-zoo-models-on-tpu", "kernel_id": "25900661"}, {"ref": "jackstapleton/fgvc7-train-224-r-1e-6-1e-5", "kernel_id": "25159393"}, {"ref": "jackstapleton/fgvc7-images", "kernel_id": "25074478"}, {"ref": "sanjaybalamurugan/p2-sip-inception", "kernel_id": "25337282"}, {"ref": "k0mp0t/tpu-images-classification", "kernel_id": "25903291"}, {"ref": "gokulprazath/plant-pathology-classification-using-exception", "kernel_id": "25787194"}, {"ref": "stuksed/tf-zoo", "kernel_id": "25907161"}, {"ref": "nikitaryabukhin/efficientnet", "kernel_id": "25903901"}, {"ref": "pdhai1/my-densenet121-efficientnetb7-1", "kernel_id": "26025975"}, {"ref": "phuntshonorbu/plant-pathology-2020", "kernel_id": "26169393"}, {"ref": "mnnguynth/plant-d", "kernel_id": "26164527"}, {"ref": "vishugupta0509/cnn-based-model", "kernel_id": "26181495"}, {"ref": "volkanmazlum/notebook5fc354038f", "kernel_id": "26449982"}, {"ref": "sssbanana/mystep1", "kernel_id": "26251057"}, {"ref": "sssbanana/mystep3", "kernel_id": "26250442"}, {"ref": "sssbanana/mystep4-1u", "kernel_id": "26277236"}, {"ref": "shilpasj/detect-plant-disease-with-efficientnetb0", "kernel_id": "26308860"}, {"ref": "ngfd44/plant-pathology", "kernel_id": "27739176"}, {"ref": "vvthai14/final-project", "kernel_id": "27434396"}, {"ref": "nikitaryabukhin/pathology-notebook", "kernel_id": "27617675"}, {"ref": "nikitaryabukhin/work1", "kernel_id": "27631519"}, {"ref": "humanee/tf-zoo", "kernel_id": "27770050"}, {"ref": "ilyavoronin228/tf-zoo-models-on-tpu", "kernel_id": "27598169"}, {"ref": "primalkyogre/implementnewmethod", "kernel_id": "27218361"}, {"ref": "kimchisung/project-1", "kernel_id": "27413740"}, {"ref": "ermolenkoalex/notebooka52d53e463", "kernel_id": "27592431"}, {"ref": "sarendongi/vision-artificial-un-2022", "kernel_id": "27980163"}, {"ref": "lucasmaxsad/plant-pathology-2020", "kernel_id": "28834592"}, {"ref": "nitinchoudhary012/apple-disease-classification", "kernel_id": "28980149"}, {"ref": "farhankarimapt/plant-pathology-2020-eda-models", "kernel_id": "28252692"}, {"ref": "vinisilvacar/plant-pathology", "kernel_id": "28886454"}, {"ref": "kalmanivijay/plant-pathology-eda", "kernel_id": "28207161"}, {"ref": "kojunil/ch12-notebook", "kernel_id": "29170352"}, {"ref": "rajasreerajamohanan/plant-pathology-2020-eda-models-ae9390", "kernel_id": "29676664"}, {"ref": "edutechalexlee/must-have-ch-12-1", "kernel_id": "29913943"}, {"ref": "shellyneira/plant-pathology-2020-eda-models", "kernel_id": "29461678"}, {"ref": "pdhai1/my-apple", "kernel_id": "30647997"}, {"ref": "kaledhoshme/classification-foliar-diseases-in-apple-trees", "kernel_id": "30793087"}, {"ref": "madhusudhanreddy769/plant-pathology-2022", "kernel_id": "30045792"}, {"ref": "bohnphm/plantpathology2020-inception-v1-v3-from-scratch", "kernel_id": "30149988"}, {"ref": "luging/luging-ch12-0907-improved", "kernel_id": "30205439"}, {"ref": "norbertpaszyski/projekt-imis", "kernel_id": "30388862"}, {"ref": "hanbikim22/notebook5ed14a18c2", "kernel_id": "30794500"}, {"ref": "eunflash/notebook9906277c1b", "kernel_id": "31687773"}, {"ref": "theowalcot/transfer-learning-off-vgg16-feature-extraction", "kernel_id": "31327123"}, {"ref": "mohamedibrahim206/plant-pathology-image-preprocessing", "kernel_id": "31690315"}, {"ref": "aaalexlit/from-simple-cnn-to-transfer-learning-on-tpu", "kernel_id": "31551389"}, {"ref": "rajesh2609/apple-foliar-diseases-extensive-analysis", "kernel_id": "32396368"}, {"ref": "shindm/notebook3a544df4e0", "kernel_id": "32375341"}, {"ref": "kbs130302/notebook9906277c1b", "kernel_id": "32375303"}, {"ref": "jaesungyu/plant-path", "kernel_id": "32375198"}, {"ref": "kimdohyung111/notebook9906277c1b", "kernel_id": "32375511"}, {"ref": "kouppm/12ch-leaf", "kernel_id": "32375313"}, {"ref": "ikazuya/plant-pathology-2020-ki", "kernel_id": "32542570"}, {"ref": "abdelmoazshahin/plant-pathology-eda-deep-learning-models", "kernel_id": "32054122"}, {"ref": "eduardoscariot/an-lise-identifica-o-doen-as-folha-ma", "kernel_id": "32856496"}, {"ref": "liucong12601/mlchapter7-models-tpu", "kernel_id": "33221254"}, {"ref": "liucong12601/mlchapter7-densenetefficientnet-models", "kernel_id": "33221309"}, {"ref": "liucong12601/mlchapter7-eda", "kernel_id": "33220743"}, {"ref": "liucong12601/mlchapter7-models", "kernel_id": "33221006"}, {"ref": "boodyahmedhamdy/first-try-selected-project-svm", "kernel_id": "33193422"}, {"ref": "boodyahmedhamdy/firsttryann", "kernel_id": "33343254"}, {"ref": "raneenkhaled/notebookdcce3b286d", "kernel_id": "33329353"}, {"ref": "raneenkhaled/plant-pathology-2020-eda-models", "kernel_id": "33332307"}, {"ref": "sugarandmilk/data-augmentation-and-keras-cnn", "kernel_id": "34100417"}, {"ref": "sreenivaskarthik/custom-cnn-leaf-disease-classification", "kernel_id": "34149866"}, {"ref": "sahsandeep/plant-pathology-2020-pytorch", "kernel_id": "34770441"}, {"ref": "jaroslavrutkovskij/kursinio-darbo-projektas", "kernel_id": "34696708"}, {"ref": "vijivijay/plant-pathology-2020-fgvc7", "kernel_id": "35367727"}, {"ref": "mennahamdymustafa/notebook3a544df4e0-40981b", "kernel_id": "35650009"}, {"ref": "raneenkhaled/notebook3a544df4e0", "kernel_id": "35171912"}, {"ref": "maryamelsharnouby/firsttryann", "kernel_id": "35447930"}, {"ref": "maryamelsharnouby/notebook3a544df4e0", "kernel_id": "35081609"}, {"ref": "raunakkrishanjaiswal/vit-transformer-raunak", "kernel_id": "37985104"}, {"ref": "raunakkrishanjaiswal/eda-plant-raunak", "kernel_id": "37720220"}, {"ref": "raunakkrishanjaiswal/cnn-models-raunak", "kernel_id": "37289418"}, {"ref": "raunakkrishanjaiswal/densenet-and-resnet-plant-pathology", "kernel_id": "37421169"}, {"ref": "matthewkoltunov/fork-of-tf-zoo-models-on-tpu", "kernel_id": "37125279"}, {"ref": "yousefelbaz/plant-pathology-2020-cnn", "kernel_id": "37916120"}, {"ref": "sarfaraz124/efficient-net", "kernel_id": "37420653"}, {"ref": "shashikaranr/predicting-plant-disease", "kernel_id": "37933526"}, {"ref": "santhoshkumarv/plant-pathology-multi-gpu-training", "kernel_id": "38217315"}, {"ref": "santhoshkumarv/plant-pathology-swin-transformer-training", "kernel_id": "38100242"}, {"ref": "raunakkrishanjaiswal/raunak-cnn", "kernel_id": "38363259"}, {"ref": "henriquelsantos/plant-pathology-2020-eda-models", "kernel_id": "38988029"}, {"ref": "yousefelbaz/plant-pathology-2021-last-v", "kernel_id": "38278690"}, {"ref": "vikash013/plant-disease-detection", "kernel_id": "38478911"}, {"ref": "chikakonishihara/plant-pathology-2020-pytorch", "kernel_id": "39635869"}, {"ref": "agustinfiore/vision-transformers", "kernel_id": "40635814"}, {"ref": "hanimohamed/model", "kernel_id": "40094101"}, {"ref": "beddahana/apple-leaf-diseases-detection-by-using-sam", "kernel_id": "40343501"}, {"ref": "ldiabencio/plant-pathology", "kernel_id": "40735948"}, {"ref": "derekxue/plantpathology2020-fastai", "kernel_id": "41764680"}, {"ref": "kimseokje/plant-pathology-2020-baseline", "kernel_id": "41809633"}, {"ref": "damilareoyediran/plant-pathology-2020-fgvc7-notebook602ee1b9f3", "kernel_id": "42981323"}, {"ref": "nadaabdallah/notebook56e964911d", "kernel_id": "42732485"}, {"ref": "nadaabdallah/notebook323942e7db", "kernel_id": "42702449"}, {"ref": "leemoodong/ch12-baseline-practice", "kernel_id": "42026070"}, {"ref": "leemoodong/ch12-eda", "kernel_id": "42024340"}, {"ref": "leemoodong/ch12-notebook", "kernel_id": "42063801"}, {"ref": "leemoodong/ch12-modeling2", "kernel_id": "42047795"}, {"ref": "leemoodong/ch12-modeling", "kernel_id": "42035800"}, {"ref": "beomsulee/plant-pathology-2020-fgvc7-with-efficientnet", "kernel_id": "42961362"}, {"ref": "scottxchoo/plant-pathology-1-eda-for-beginner", "kernel_id": "43933016"}, {"ref": "scottxchoo/plant-pathology-2-baseline-model", "kernel_id": "43934948"}, {"ref": "scottxchoo/plant-pathology-3-improve-performance-submit", "kernel_id": "43949347"}, {"ref": "jaymanvirk/leveraging-resnet-vgg-net-and-inceptionnet", "kernel_id": "44608849"}, {"ref": "inzilele/notebook16c3d7bb15", "kernel_id": "44478155"}, {"ref": "junbokoh/ch12-ridi-plant-pathology-baseline", "kernel_id": "45666505"}, {"ref": "shreyanagaruru/project", "kernel_id": "45047383"}, {"ref": "junlee21/juniya-12-1", "kernel_id": "45668625"}, {"ref": "woohyeokkang/ch-12", "kernel_id": "45682785"}, {"ref": "surihh/must-have-part02-12-baseline", "kernel_id": "45735502"}, {"ref": "polljjaks/plant-study", "kernel_id": "45529747"}, {"ref": "limhakyeong/plant-pathology-2020-fgvc7", "kernel_id": "45632909"}, {"ref": "junbokoh/ch12-ridi-plant-pathology-fast-ai", "kernel_id": "46137231"}, {"ref": "woohyeokkang/ch-12-modeling2", "kernel_id": "46160861"}, {"ref": "woohyeokkang/ch-12-modeling", "kernel_id": "46028161"}, {"ref": "vipranshtyagi/final-image", "kernel_id": "46712090"}, {"ref": "polljjaks/fork-of-plant-study-e3022c", "kernel_id": "46128785"}, {"ref": "microven/apple-tree-diagnosis", "kernel_id": "46664297"}, {"ref": "amrkhaledsaleh/plant-pathology-2020-logistic-regression-vs-kmeans", "kernel_id": "47844187"}, {"ref": "omarabdelnaser20/ml-12", "kernel_id": "47851150"}, {"ref": "b11gden/plant-pathology-ptq", "kernel_id": "48188506"}, {"ref": "tariqumar/apple-tree-disease", "kernel_id": "48161912"}, {"ref": "nirmalsankalana/plant-pathology-formatter", "kernel_id": "49137112"}, {"ref": "seihakaku/cnn-based-model-kaku", "kernel_id": "50808292"}, {"ref": "seihakaku/212783-kaku", "kernel_id": "50803715"}, {"ref": "dipanshurautela2001/ganimbalancedata", "kernel_id": "54995821"}, {"ref": "nikolaidjenontin/plant-pathology-2020-classification", "kernel_id": "54629747"}, {"ref": "andls555/plant-pathology-classification-acc-85", "kernel_id": "55553692"}, {"ref": "aayush4444/leaf-diseasedetection-using-knn", "kernel_id": "56425271"}, {"ref": "cardata/plant-pathology-2020", "kernel_id": "56278599"}, {"ref": "cngtrnhh/khdllll", "kernel_id": "56708367"}, {"ref": "caesar0712/hometown-sakura-open", "kernel_id": "58522202"}, {"ref": "heranwu/714group-e9bcbf-04d7b9", "kernel_id": "58438003"}, {"ref": "brahimy/plant-pathology-image-classification", "kernel_id": "59154452"}, {"ref": "kachhawagoutham/healthy-plant-using-cnn", "kernel_id": "62822789"}, {"ref": "rohantemujin/final-project", "kernel_id": "62066979"}, {"ref": "jeongsuppark/plant-pathology-2020-fgvc7", "kernel_id": "62277233"}, {"ref": "anhnpn1/efficientnetb6-plantvillage-classification", "kernel_id": "63176637"}, {"ref": "pmichampion/notebook2fffc23193", "kernel_id": "66123967"}, {"ref": "ytyfull/simple-resnet", "kernel_id": "66248391"}, {"ref": "minatavr/homework-23-09", "kernel_id": "66377160"}, {"ref": "parovitmai/onnxruntime", "kernel_id": "66595725"}, {"ref": "parovitmai/learning-resnet18", "kernel_id": "66595439"}, {"ref": "malakessam/cnn-on-plant-images", "kernel_id": "69430410"}, {"ref": "jeseoyun/notebook29f084d115", "kernel_id": "69720330"}, {"ref": "gmarchetti/cnn-in-tf-on-tpu", "kernel_id": "70411442"}, {"ref": "mennakhalifavv/image-plant-pathology", "kernel_id": "72411861"}, {"ref": "richoalifiannokie/plant-pathology-2020-eda-models", "kernel_id": "73135241"}, {"ref": "ujjawalkr67/research", "kernel_id": "74941270"}, {"ref": "cseongz/plant-image-classification2020", "kernel_id": "75012013"}, {"ref": "haerongnim/plant-pathology-vit-5fold", "kernel_id": "75105753"}, {"ref": "trnhuytun/cpv-ai1905-he190554", "kernel_id": "76343743"}, {"ref": "hoangphamtran/4-2-ki-m-so-t-s-u-b-nh-h-i", "kernel_id": "78038133"}, {"ref": "callmeaniki/notebookbd9c4b13cb", "kernel_id": "79850059"}, {"ref": "biswassagor/plant-disease-detection", "kernel_id": "80613822"}, {"ref": "yeheva/notebookbbb7782498", "kernel_id": "81437565"}, {"ref": "qtpierogi/plant-pathology-work", "kernel_id": "82651074"}, {"ref": "phanlhuy/plantxmamba", "kernel_id": "82692669"}, {"ref": "maf3310/dl-resnet50", "kernel_id": "83639041"}, {"ref": "muhammadfaiqassajjad/plant-disease", "kernel_id": "84291430"}, {"ref": "sayurighosh/plant-pathology-2020-eda-models", "kernel_id": "84432887"}, {"ref": "hasnainyaqooob/plant-pathology-2020-fgvc7-project", "kernel_id": "84396597"}, {"ref": "ritikjain01/plant-disease-ritik", "kernel_id": "85163133"}, {"ref": "zeynepezgiyakisan/plant-pathology-2020-resnet-with-tta", "kernel_id": "88316715"}, {"ref": "hoyeondev/ch12-baseline", "kernel_id": "90555234"}, {"ref": "enesgleryz/plant-pathology-selin", "kernel_id": "92932150"}, {"ref": "rushiil18/plant-pathology-my", "kernel_id": "92831694"}, {"ref": "ferhatagin/bitki-patolojisi-ai", "kernel_id": "92372207"}, {"ref": "selinkplnkrn/yaprak", "kernel_id": "92586178"}, {"ref": "selinkplnkrn/plant-pathology-selin", "kernel_id": "93094954"}, {"ref": "laila777/plant-pathology-test", "kernel_id": "94353786"}, {"ref": "russell09/lab-3", "kernel_id": "94946299"}, {"ref": "matthewzaki/leaf-lab-3", "kernel_id": "94366041"}, {"ref": "mariogeorge7/notebooka8a766de94", "kernel_id": "94353905"}, {"ref": "yousseffares24/plant-pathology", "kernel_id": "94358028"}, {"ref": "evanolearyemenate/alexandria-competition-plant-pathology-20-209072", "kernel_id": "100462635"}, {"ref": "sanjanapamulapati/capstone-project-final", "kernel_id": "100877845"}, {"ref": "rnapark/apple", "kernel_id": "101541523"}, {"ref": "ltlongg/plant-pathology", "kernel_id": "102401115"}, {"ref": "xmohammadasimx/final-project", "kernel_id": "102109210"}, {"ref": "xmohammadasimx/final-notebook-2", "kernel_id": "102152121"}, {"ref": "mudassirsaleem92/notebookb9212aab61", "kernel_id": "102589878"}, {"ref": "mudassirmalik92/project", "kernel_id": "102225826"}, {"ref": "tinguynquck/plant-pathology-with-cnn", "kernel_id": "102333112"}, {"ref": "busalehalmalik/notebook2525382ebc", "kernel_id": "102548408"}, {"ref": "rnapark/lightweight-apple", "kernel_id": "103504506"}, {"ref": "buzziru/03-plant-model-emprovments", "kernel_id": "104953623"}, {"ref": "zeinablaith/notebook71597a628c", "kernel_id": "104876947"}, {"ref": "buzziru/07-plant", "kernel_id": "105204173"}, {"ref": "buzziru/0-9786-convnext-resnest-knowledge-distillation", "kernel_id": "107326542"}, {"ref": "aayushkalia16/reproducible-notebook-finalarch-c2mdb-s42-3march", "kernel_id": "111191117"}, {"ref": "aayushkalia16/reproducible-tta-notebook-4march-apple-loss", "kernel_id": "111676324"}, {"ref": "verbatim479/dl202635-hw2-csv", "kernel_id": "114852814"}, {"ref": "searain1110/dense", "kernel_id": "115814012"}, {"ref": "olivia521/day3-test", "kernel_id": "115813822"}, {"ref": "seo22hs/day3-notebook2", "kernel_id": "115815255"}, {"ref": "iinmv0527/plant-pathology", "kernel_id": "116604811"}, {"ref": "ryuminhyuk/plant-pathology-efficientnet", "kernel_id": "120630875"}, {"ref": "mahima0787/plant-pathology", "kernel_id": "121641721"}, {"ref": "fouratihiba/esgi-groupe-4", "kernel_id": "124651099"}, {"ref": "couterit/ai-doctor-plant", "kernel_id": "128194677"}, {"ref": "amiteshkumar140908/condcovapple", "kernel_id": "135624929"}]}
{"competition_id": "18652", "kernels": []}
{"competition_id": "18655", "kernels": [{"ref": "bwtest/applied-ai-assignment-1-part-1", "kernel_id": "7798933"}, {"ref": "bwtest/applied-ai-assignment-1-part-2", "kernel_id": "7799031"}]}
{"competition_id": "18671", "kernels": [{"ref": "angusmclean/getting-started-with-kaggle-kernels", "kernel_id": "7933526"}, {"ref": "angusmclean/musicclassificationlib-py", "kernel_id": "7921398"}, {"ref": "angusmclean/ecse-526-a2-music-classification-report", "kernel_id": "8003207"}, {"ref": "saeedizade/music-classification-60-70-accuracy", "kernel_id": "13928066"}]}
{"competition_id": "18678", "kernels": []}
{"competition_id": "18680", "kernels": []}
{"competition_id": "18685", "kernels": [{"ref": "mathurinache/googlehashcode2019-starter-code", "kernel_id": "9156139"}, {"ref": "group16/tsp-swapper", "kernel_id": "9222972"}, {"ref": "group16/greedy-solution-lb-400k", "kernel_id": "9186301"}, {"ref": "huikang/441k-in-11-mins", "kernel_id": "9820774"}, {"ref": "huikang/2019q-eda-and-baseline-solution", "kernel_id": "9795018"}, {"ref": "gb00000/hash-opt", "kernel_id": "9424012"}, {"ref": "saraswatitiwari/kernel33f8061544", "kernel_id": "9993231"}, {"ref": "fatehaliyev/extremely-basic-eda", "kernel_id": "9362626"}, {"ref": "ar89dsl/hash-optimisation-multiple-approaches-430k", "kernel_id": "10110283"}, {"ref": "mahmudds/hash-code-archive-photo-slideshow-optimization", "kernel_id": "10488571"}, {"ref": "egrehbbt/442k-in-2-hours", "kernel_id": "10126188"}, {"ref": "angelhenriquez1/circle-of-hash", "kernel_id": "10884402"}, {"ref": "lsiddiqsunny/simple-hashing-solution-for-hash-code-2019", "kernel_id": "10041039"}, {"ref": "hasimsait/greedy", "kernel_id": "10175046"}, {"ref": "razamh/hash-code2019", "kernel_id": "10062050"}, {"ref": "arianit1990/kernel47d85f423c", "kernel_id": "10904824"}, {"ref": "jrexmo/hashcode-notebook", "kernel_id": "12654450"}, {"ref": "manunaik/notebook7bac653c28", "kernel_id": "14728090"}, {"ref": "shalingund/notebook7bac653c28", "kernel_id": "14728174"}, {"ref": "guguguzus/notebook37738d4aa8", "kernel_id": "15131349"}, {"ref": "aidanmcdonald/hash-code-archive-photo-slideshow-optimization", "kernel_id": "23021479"}, {"ref": "romanrkk/notebookcae5070a7e", "kernel_id": "24367591"}, {"ref": "xenilcool/notebook33dcaf43f9", "kernel_id": "24367587"}, {"ref": "muhammedhasan/minimum-spanning-path-kruskal-path", "kernel_id": "55050450"}]}
{"competition_id": "18690", "kernels": []}
{"competition_id": "18691", "kernels": []}
{"competition_id": "18692", "kernels": [{"ref": "ucfaibot/core-sp20-nns", "kernel_id": "7847456"}]}
{"competition_id": "18695", "kernels": [{"ref": "crailtap/starter", "kernel_id": "8061612"}]}
{"competition_id": "18704", "kernels": []}
{"competition_id": "18724", "kernels": [{"ref": "hydrophisspiralis/keras-baseline", "kernel_id": "8001959"}]}
{"competition_id": "18728", "kernels": []}
{"competition_id": "18762", "kernels": [{"ref": "javiabellan/1-eda-missings-valores-perdidos", "kernel_id": "7902902"}, {"ref": "javiabellan/1-eda-an-lisis-univariable", "kernel_id": "7899944"}, {"ref": "jjcosta/private-score-0-65138", "kernel_id": "8090714"}]}
{"competition_id": "18767", "kernels": []}
{"competition_id": "18768", "kernels": []}
{"competition_id": "18769", "kernels": []}
{"competition_id": "18780", "kernels": []}
{"competition_id": "18784", "kernels": [{"ref": "glebastis/notebookb3d4496b44", "kernel_id": "13078224"}]}
{"competition_id": "18785", "kernels": []}
{"competition_id": "18789", "kernels": [{"ref": "danofer/hft-orderbook-features-model-0-618-lb", "kernel_id": "7910143"}, {"ref": "luiscl/hft-orderbook-features-ext", "kernel_id": "7948846"}, {"ref": "maxpopken/ensemble-model", "kernel_id": "7920010"}, {"ref": "emartelo/notebook1", "kernel_id": "16663662"}, {"ref": "jeisonmedina/notebookc18db8f909", "kernel_id": "16768434"}, {"ref": "jonatan6209/notebookad5daa5632", "kernel_id": "16664089"}, {"ref": "ganyuyang/lob-hft", "kernel_id": "50149441"}, {"ref": "fdimac/notebooke648c87b61", "kernel_id": "77567346"}]}
{"competition_id": "18796", "kernels": []}
{"competition_id": "18807", "kernels": []}
{"competition_id": "18808", "kernels": []}
{"competition_id": "18809", "kernels": []}
{"competition_id": "18810", "kernels": []}
{"competition_id": "18814", "kernels": [{"ref": "ashwinvaswani/run-length-encoding-code", "kernel_id": "7996705"}]}
{"competition_id": "18823", "kernels": [{"ref": "crucifierbladex/notebookd143b543c1", "kernel_id": "13244797"}]}
{"competition_id": "18828", "kernels": [{"ref": "devrajsoni/build4", "kernel_id": "7993705"}]}
{"competition_id": "18847", "kernels": [{"ref": "albertoid/kernel5a4cdba187", "kernel_id": "8021350"}]}
{"competition_id": "18849", "kernels": []}
{"competition_id": "18850", "kernels": [{"ref": "ucfaibot/core-sp20-cnns", "kernel_id": "7947319"}]}
{"competition_id": "18877", "kernels": []}
{"competition_id": "18879", "kernels": []}
{"competition_id": "18885", "kernels": []}
{"competition_id": "18894", "kernels": []}
{"competition_id": "18905", "kernels": [{"ref": "plarmuseau/collaborative-filtering-a-joke", "kernel_id": "7998777"}, {"ref": "plarmuseau/collaborative-filtering-a-joke-2-0", "kernel_id": "8014799"}, {"ref": "plarmuseau/fork-of-implicit-joke-recommender", "kernel_id": "8280477"}, {"ref": "plarmuseau/implicit-joke-recommender", "kernel_id": "8271718"}]}
{"competition_id": "18906", "kernels": []}
{"competition_id": "18907", "kernels": []}
{"competition_id": "18908", "kernels": []}
{"competition_id": "18920", "kernels": []}
{"competition_id": "18924", "kernels": [{"ref": "irfanamrl/ristek", "kernel_id": "8038942"}]}
{"competition_id": "18927", "kernels": [{"ref": "peaceagent/dm-assignment-1-2017a7ps0137g", "kernel_id": "7995555"}, {"ref": "fitzchivalry509/2017a7ps0033g", "kernel_id": "8026421"}, {"ref": "sammuelbrown/2017a7ps0971g", "kernel_id": "8064359"}, {"ref": "arshs99/2017a7ps0060g", "kernel_id": "8082979"}, {"ref": "hetshah/2017a7ps0093g-dm-assign-1", "kernel_id": "8083560"}, {"ref": "aggarwalvinayak/tsne-150", "kernel_id": "8048272"}, {"ref": "aggarwalvinayak/2017a7ps0008g", "kernel_id": "8081308"}, {"ref": "bhargavprakash/2017a7ps0157g-lab1", "kernel_id": "8082306"}, {"ref": "f20170939/2017a7ps0939g", "kernel_id": "8084049"}, {"ref": "f20160298/2016b3a70298g", "kernel_id": "8081819"}, {"ref": "f20160077/2016a7ps0077g-dm1", "kernel_id": "8085652"}, {"ref": "prkhrsrvstv1/2016b5a70438g-dm1", "kernel_id": "8087509"}, {"ref": "sachitanishal/2016a7ts0719g-fsc", "kernel_id": "8103484"}, {"ref": "dgupta99/2017a7ps0959g-dm-1", "kernel_id": "8090849"}, {"ref": "avishreekh/2017a7ps0112g", "kernel_id": "8085711"}, {"ref": "teritaal/2017a7ps1919g", "kernel_id": "8025990"}, {"ref": "parthpadia/2016b5a70404g-fsc", "kernel_id": "8088201"}, {"ref": "rishabh29b/2017a7ps0121g-assign1", "kernel_id": "8081930"}, {"ref": "f2016b4a70246g/2016b4a70246g-dma1", "kernel_id": "8090032"}, {"ref": "f20170135/2017a7ps0135g-dm1", "kernel_id": "8086268"}, {"ref": "f20160439/2016b3a70439g-dm1", "kernel_id": "8084694"}, {"ref": "f20170051/2017a7ps0051g-dma1", "kernel_id": "8085862"}, {"ref": "jain98/2016b5a70471g-dm1", "kernel_id": "8083567"}, {"ref": "f20170117/2017a7ps0117g-dm1", "kernel_id": "8084563"}, {"ref": "soundarya98/2016b5a70472g-dma1", "kernel_id": "8096841"}, {"ref": "f20170941/2017a7ps0941g-fsc", "kernel_id": "8236183"}, {"ref": "f20160517g/2016b5a70517g-assignment1", "kernel_id": "8082264"}, {"ref": "f20160340/2016b3a70340g", "kernel_id": "8081574"}, {"ref": "f20170083/2017a7ps0083g", "kernel_id": "8082592"}, {"ref": "f20170168/2017a7ps0168g-sub", "kernel_id": "8077907"}, {"ref": "f2016b4a70375/id-2016b4a70375g-psc", "kernel_id": "8089797"}, {"ref": "f20160419/2016b3a70419g", "kernel_id": "8087451"}, {"ref": "f2017a7ps0118g/kernel308cc0b01a", "kernel_id": "8082615"}, {"ref": "f20170087g/2017a7ps0087g", "kernel_id": "8083541"}, {"ref": "f20160489/2016b3a70489g-dm1", "kernel_id": "8084648"}, {"ref": "nravishankar/2016b3a70184", "kernel_id": "8103887"}, {"ref": "f20160275/2016b4a70275g-fsc", "kernel_id": "8090987"}, {"ref": "f20160107/2016b4a70107g-dm1", "kernel_id": "8082294"}, {"ref": "ashutoshadhikari/2017a7ps0096g-dm", "kernel_id": "8084676"}, {"ref": "janamejayvinayjoshi/2016b4a70486g-dm", "kernel_id": "8085310"}, {"ref": "amoeba99/2017a7ps0952g", "kernel_id": "8085330"}, {"ref": "sarthakag12/2016b4a70511g", "kernel_id": "8088118"}, {"ref": "sarthakgoel23/2016b3a70334g-dm", "kernel_id": "8087201"}, {"ref": "vaibhavm00/2017a7ps0947g", "kernel_id": "8084016"}, {"ref": "ishaanm1010/2017a7ps0966g-sub", "kernel_id": "8083908"}, {"ref": "f20170041/2017a7ps0041g", "kernel_id": "8083775"}, {"ref": "bhubhanshugurjar/2017a7ps0951g", "kernel_id": "8085356"}, {"ref": "shejalgupta/2017a7ps0122g", "kernel_id": "8083859"}, {"ref": "shubham2708/2017a7ps0126g", "kernel_id": "8003427"}, {"ref": "gopalgopakumar99/kernel15f372e56f", "kernel_id": "8082088"}, {"ref": "harshraj0942/2017a7ps0942g", "kernel_id": "8083367"}, {"ref": "f20170110/2017a7ps0110g", "kernel_id": "8031113"}, {"ref": "f20170130/2017a7ps0130g", "kernel_id": "8088180"}, {"ref": "nishitabhatia/kernel642f47d54b", "kernel_id": "8083234"}, {"ref": "puravparikh/2016b4a70245g", "kernel_id": "8088135"}, {"ref": "suryavatsalya/2017a7ps0032g-assn1", "kernel_id": "8985810"}, {"ref": "adityagurjar10/2016b4a70351g", "kernel_id": "8102176"}, {"ref": "apoorvjha/2016b4a70548g", "kernel_id": "8083572"}, {"ref": "architasukhwani/2016b4a70741g", "kernel_id": "8082605"}, {"ref": "f20170092/2017a7ps0092g", "kernel_id": "8089653"}, {"ref": "aman0897/2016b2a70520g", "kernel_id": "8084398"}, {"ref": "vedusharma/2016a7ps0055g-dm", "kernel_id": "8895723"}, {"ref": "mehulmpt/2017a7ps0935", "kernel_id": "8089123"}, {"ref": "ankagarw/2016b5a70468g-dm", "kernel_id": "8090941"}]}
{"competition_id": "18935", "kernels": [{"ref": "fernandocamargo/baseline-lstm-turma-4", "kernel_id": "7982701"}, {"ref": "fernandocamargo/baseline-cnn-turma-4", "kernel_id": "8191448"}, {"ref": "fernandocamargo/baseline-tf-idf-turma-4", "kernel_id": "8191131"}]}
{"competition_id": "18939", "kernels": [{"ref": "fridge/classification-statmod1", "kernel_id": "25249877"}]}
{"competition_id": "18944", "kernels": []}
{"competition_id": "18945", "kernels": []}
{"competition_id": "18956", "kernels": [{"ref": "gordeevaln/cv-hw3-net", "kernel_id": "8087124"}, {"ref": "faucct/kernel82b848a235", "kernel_id": "8083776"}, {"ref": "platvlad/kernel1f3a7b5810", "kernel_id": "8196295"}, {"ref": "andreysmirdin/kernelr32423-classic", "kernel_id": "8077786"}]}
{"competition_id": "18971", "kernels": [{"ref": "utkarshrai/2016a7ts0723g", "kernel_id": "8042088"}, {"ref": "hardik12498/solution", "kernel_id": "8077545"}, {"ref": "shangeth/nnfl-lab-1-1", "kernel_id": "8066919"}, {"ref": "shangeth/2016b4a30442g-lab-1", "kernel_id": "8083389"}, {"ref": "shangeth/2016b4a30442g-lab1", "kernel_id": "8083407"}, {"ref": "sharadchitlangia/2017a8ps0472g", "kernel_id": "8077047"}, {"ref": "ishitamed/kernel52effce624", "kernel_id": "8073499"}, {"ref": "siddharthvp/2017aaps0989g", "kernel_id": "8078248"}, {"ref": "ss1102/2017a7ps0075g-lab1", "kernel_id": "8062689"}, {"ref": "rajaswa/2017a3ps0334g", "kernel_id": "8045579"}, {"ref": "bhandarimohit20/kernel4a704de57c", "kernel_id": "8065338"}, {"ref": "arkil1998/sample-kernel", "kernel_id": "8018682"}, {"ref": "riddhesh/2017aaps0261g-lab1", "kernel_id": "8076888"}, {"ref": "urviljivani/hooooooooooo", "kernel_id": "8077659"}, {"ref": "kushrj/2017a3ps0425g-l1", "kernel_id": "8078289"}, {"ref": "f20160664/2016a7ps0664g", "kernel_id": "8082279"}, {"ref": "f20160091/2016a7ps0091g-lab1", "kernel_id": "8113808"}, {"ref": "anirudhmehra/2016a7ps0033g-lab1", "kernel_id": "8072220"}, {"ref": "kunalambardekar/lab1-best-2016a7ps0098g", "kernel_id": "8076384"}, {"ref": "oytrik/2017a3ps0222g-lab1", "kernel_id": "8073778"}, {"ref": "f20160544/2016b2a70544g-lab1-nnfl", "kernel_id": "8075520"}, {"ref": "f20170107g/2017a7ps0107g-eval-lab-1", "kernel_id": "8042738"}, {"ref": "f20170958/2017a7ps0958g-lab1", "kernel_id": "8075236"}, {"ref": "f20160439/2016b3a70439g-nnfl1", "kernel_id": "8071180"}, {"ref": "somilg050/2017a7ps0142g-lab1", "kernel_id": "8077859"}, {"ref": "f20160320/2016b3a70320g-lab1", "kernel_id": "8061159"}, {"ref": "f20160489/2016b3a70489g-nnfl1", "kernel_id": "8073992"}, {"ref": "nravishankar/2016b3a70184g-nnfl", "kernel_id": "8074821"}, {"ref": "ashutoshadhikari/2017a7ps0096", "kernel_id": "8082812"}, {"ref": "janamejayvinayjoshi/2016b4a70486g-evallab1", "kernel_id": "8075119"}, {"ref": "adityajoshi18/2017a8ps1926g", "kernel_id": "8075523"}, {"ref": "harnoordhingra/2017a7ps0081g", "kernel_id": "8071297"}, {"ref": "lemark999999/my-code-for-lab", "kernel_id": "8047912"}, {"ref": "rohanajwani/2017aaps0990g-lab1", "kernel_id": "8044448"}, {"ref": "vaibhavm00/2017a7ps0947g-lab1", "kernel_id": "8075787"}, {"ref": "gopalgopakumar99/2016b3a70347g", "kernel_id": "8077236"}, {"ref": "srisreyas/2017a7ps0065g", "kernel_id": "8042027"}, {"ref": "paritoshrajpurohit/2016a8ps0326g", "kernel_id": "8075883"}, {"ref": "pranavbhosale25/sample-kernel", "kernel_id": "8022239"}, {"ref": "ashishsinha29/2017aaps0400g-lab1", "kernel_id": "8069835"}, {"ref": "rushikeshrajeshwalke/2016b1a30623g", "kernel_id": "8070636"}, {"ref": "adityakapoor963/2017a7ps0963g", "kernel_id": "8078339"}, {"ref": "dabholkaramoghjayant/kernel74a12b5647", "kernel_id": "8065340"}, {"ref": "mayankkumarbits/2016b1aa0624g", "kernel_id": "8077228"}, {"ref": "nalinmujoo/2017aaps0986g", "kernel_id": "8029302"}, {"ref": "shreyashshukla1/2017a7ps0114g", "kernel_id": "8046415"}, {"ref": "mpyush31/2016a3ps0178g", "kernel_id": "8064271"}, {"ref": "lakshyagoyal/2017a3ps0900g-multi-class", "kernel_id": "8085680"}, {"ref": "adityagurjar10/2016b4a70351g-lab1", "kernel_id": "8071327"}, {"ref": "praty97/2016b5ts0435g-submission", "kernel_id": "8077993"}, {"ref": "parvdani/2016a7ps0722g", "kernel_id": "8077982"}, {"ref": "pverma0997/2016a8ps0405g-lab1", "kernel_id": "8079057"}, {"ref": "amantayal5/2016a8ps0426g-a1", "kernel_id": "8078134"}, {"ref": "kunj24/2017a1ps0106g", "kernel_id": "8115827"}, {"ref": "abhimanyuchaturvedi/kernel320b12264a", "kernel_id": "8081884"}, {"ref": "dbarfiwala/lab1-v1", "kernel_id": "8063106"}, {"ref": "sakarchugh/kernel33338bd0bf", "kernel_id": "8062132"}, {"ref": "viveksengar/2017a7ps0084g-nnfl-lab1", "kernel_id": "8079994"}, {"ref": "thunderbolt2/2017a7ps0045g-nnfl", "kernel_id": "8078229"}, {"ref": "xyzabcd123/2017a7ps0072g-lab1", "kernel_id": "8078302"}]}
{"competition_id": "18974", "kernels": [{"ref": "arkil1998/demo-sub", "kernel_id": "8018551"}]}
{"competition_id": "18976", "kernels": []}
{"competition_id": "18977", "kernels": []}
{"competition_id": "18978", "kernels": [{"ref": "rithikkaasj/sdr-fg", "kernel_id": "111210199"}]}
{"competition_id": "18983", "kernels": []}
{"competition_id": "18994", "kernels": [{"ref": "ucfaibot/core-sp20-rnns", "kernel_id": "8047597"}]}
{"competition_id": "19010", "kernels": []}
{"competition_id": "19013", "kernels": []}
{"competition_id": "19016", "kernels": [{"ref": "chapmancs530/template", "kernel_id": "8035286"}]}
{"competition_id": "19018", "kernels": [{"ref": "jpmiller/augmenting-the-data", "kernel_id": "569560"}, {"ref": "pavansanagapati/knowledge-graph-nlp-tutorial-bert-spacy-nltk", "kernel_id": "1908308"}, {"ref": "faressayah/natural-language-processing-nlp-for-beginners", "kernel_id": "6127394"}, {"ref": "abhishek/bert-multi-lingual-tpu-training", "kernel_id": "8561188"}, {"ref": "abhishek/inference-of-bert-tpu-model-ml", "kernel_id": "8562393"}, {"ref": "abhishek/bert-multi-lingual-tpu-training-8-cores", "kernel_id": "8573391"}, {"ref": "abhishek/bert-multi-lingual-tpu-training-8-cores-w-valid", "kernel_id": "8574871"}, {"ref": "abhishek/inference-of-bert-tpu-model-ml-w-validation", "kernel_id": "8575499"}, {"ref": "abhishek/i-like-clean-tpu-training-kernels-i-can-not-lie", "kernel_id": "8940441"}, {"ref": "abhishek/dataset", "kernel_id": "8940475"}, {"ref": "abhishek/engine", "kernel_id": "8940497"}, {"ref": "abhishek/model", "kernel_id": "8940526"}, {"ref": "priyanshu0110/recurrent-neural-networks", "kernel_id": "8855018"}, {"ref": "yongjie/fast-tokenization", "kernel_id": "8875535"}, {"ref": "lematmat/toxic-tpu-distilbert-with-huggingface-lematmat", "kernel_id": "8617809"}, {"ref": "tanlikesmath/simple-xlmr-tpu-pytorch", "kernel_id": "8728037"}, {"ref": "tanlikesmath/xlm-roberta-inference-pytorch-tpu-xla-1-core", "kernel_id": "8906759"}, {"ref": "tanlikesmath/xlm-roberta-pytorch-xla-tpu", "kernel_id": "8906038"}, {"ref": "tanlikesmath/xlm-r-large-tokenize-xhlulu-dataset", "kernel_id": "8901912"}, {"ref": "tanlikesmath/xlm-r-large-tokenize-dataset", "kernel_id": "8884960"}, {"ref": "fatmagu/bert-multilingual-transformers-tf-keras", "kernel_id": "8685231"}, {"ref": "spsayakpaul/jigsaw-multilingual-toxic-comment-classification", "kernel_id": "8750880"}, {"ref": "yeayates21/jigsaw-multilingual-word2vec", "kernel_id": "8881783"}, {"ref": "yeayates21/loading-gensim-word2vec-for-keras-explained", "kernel_id": "8915669"}, {"ref": "yeayates21/jigsaw-lstm-w-custom-embedding-tf-keras2-0", "kernel_id": "8927461"}, {"ref": "adityaecdrid/sample-working-xlmr-large-8-cores-tpu-pytorch", "kernel_id": "8911168"}, {"ref": "adityaecdrid/sample-tpu-xlmr-pytorch-pad-on-fly", "kernel_id": "8871933"}, {"ref": "adityaecdrid/pytorch-tpu-xlmr-base-with-memmap", "kernel_id": "8937378"}, {"ref": "adityaecdrid/memmap-tpu-xlmr-pytorch-pad-on-fly", "kernel_id": "8937262"}, {"ref": "adityaecdrid/simple-xlmr-tpu-pytorch", "kernel_id": "8697728"}, {"ref": "pestipeti/simple-eda-toxic-comments", "kernel_id": "8550833"}, {"ref": "jaseziv83/eda-on-what-makes-a-comment-toxic", "kernel_id": "8552927"}, {"ref": "vbookshelf/bert-as-a-microservice-flask-app", "kernel_id": "8884205"}, {"ref": "qinhui1999/jigsaw-tpu-xlm-roberta", "kernel_id": "8744906"}, {"ref": "grapestone5321/jigsaw-multilingual-toxic-sample-submission", "kernel_id": "8552555"}, {"ref": "youhanlee/bert-pytorch-huggingface-tpu-version-xla", "kernel_id": "8552821"}, {"ref": "iamprateek/jigsaw-toxicity-detection", "kernel_id": "8554187"}, {"ref": "dimitreoliveira/jigsaw-classification-distilbert-with-tpu-and-tf", "kernel_id": "8570434"}, {"ref": "dimitreoliveira/jigsaw-tpu-optimized-training-loops", "kernel_id": "8629926"}, {"ref": "seriousran/bert-starter-under-sampling", "kernel_id": "8557342"}, {"ref": "miklgr500/jigsaw-tpu-bert-with-huggingface-and-keras", "kernel_id": "8572342"}, {"ref": "miklgr500/lgbm-solution", "kernel_id": "8726191"}, {"ref": "miklgr500/jigsaw-tpu-bert-two-stage-training", "kernel_id": "8633573"}, {"ref": "miklgr500/jigsaw-tpu-bert-with-multilingual-dataset", "kernel_id": "8787271"}, {"ref": "miklgr500/how-to-use-translators-for-comments-translation", "kernel_id": "8795719"}, {"ref": "shaitender/jigsaw-tpu-roberta", "kernel_id": "8954383"}, {"ref": "arvissu/simple-pytorch-bert", "kernel_id": "8555296"}, {"ref": "rftexas/extensive-eda-jigsaw-multilingual-competition", "kernel_id": "8998132"}, {"ref": "rftexas/gru-lstm-rnn-101", "kernel_id": "8726424"}, {"ref": "arbazkhan971/tweets-classification-82-eda-cleaning-fastai", "kernel_id": "8656813"}, {"ref": "tarunpaparaju/jigsaw-multilingual-toxicity-eda-models", "kernel_id": "8554075"}, {"ref": "ilhamfp31/jigsaw-tpu-distil-mbert", "kernel_id": "8754757"}, {"ref": "ilhamfp31/can-t-add-additional-validation-on-tpu", "kernel_id": "8734033"}, {"ref": "yihdarshieh/jigsaw-tpu-gradient-accumulation", "kernel_id": "8863812"}, {"ref": "parmarsuraj99/jigsaw-on-tpu", "kernel_id": "8757112"}, {"ref": "bamps53/hugging-face-transformer-tpu-xla", "kernel_id": "8950360"}, {"ref": "bamps53/inference-with-translated-test-set", "kernel_id": "8579474"}, {"ref": "bamps53/pytorch-tpu-training-with-translated-validation", "kernel_id": "8585972"}, {"ref": "hamditarek/ensemble", "kernel_id": "8603229"}, {"ref": "hamditarek/nb-svm-strong-linear-baseline", "kernel_id": "8552224"}, {"ref": "hamditarek/eda-topic-modeling-toxic-comment-jigsaw", "kernel_id": "8551333"}, {"ref": "kumarsuraj9450/jigsawmulti-submission", "kernel_id": "8966854"}, {"ref": "kumarsuraj9450/jigsawmulti-bertmulti", "kernel_id": "8931031"}, {"ref": "ahmeriq09/kernel001", "kernel_id": "8759740"}, {"ref": "powercode/xlm-roberta-train", "kernel_id": "8740966"}, {"ref": "revanthrex/jigsaw-tpu-bert-with-huggingface-and-keras", "kernel_id": "8645065"}, {"ref": "ipythonx/jigsaw-multilingual-quick-eda-tpu-modeling", "kernel_id": "8552043"}, {"ref": "akashsuper2000/jigsaw-tpu-distilbert-with-huggingface-and-keras", "kernel_id": "8686386"}, {"ref": "akashsuper2000/jigsaw-tpu-xlm-roberta", "kernel_id": "8796536"}, {"ref": "akashsuper2000/jigsaw-tpu-bert-two-stage-training", "kernel_id": "8895052"}, {"ref": "mobassir/understanding-cross-lingual-models", "kernel_id": "8838144"}, {"ref": "gopidurgaprasad/stater-pytorch-tpu-google-colab", "kernel_id": "8613793"}, {"ref": "theoviel/bert-pytorch-huggingface-with-tpu-multiprocessing", "kernel_id": "8559769"}, {"ref": "theoviel/bert-pytorch-huggingface-starter", "kernel_id": "8550756"}, {"ref": "byannn/jigsaw-ml-toxic-comments-laser-embeddings", "kernel_id": "8934918"}, {"ref": "byannn/ktrain", "kernel_id": "8970429"}, {"ref": "byannn/gru-lstm-rnn-101", "kernel_id": "8832798"}, {"ref": "memegha22/jigsaw-toxic-comments", "kernel_id": "8929172"}, {"ref": "davelo12/simple-lstmwithpretrainembed", "kernel_id": "8705461"}, {"ref": "davelo12/wordcnnwithoutpretrainembed", "kernel_id": "8601772"}, {"ref": "jonathanbesomi/getting-started-with-tpus-for-beginners", "kernel_id": "8556673"}, {"ref": "redakai/kernel5f31b5b046", "kernel_id": "8936571"}, {"ref": "xhlulu/jigsaw-tpu-distilbert-with-huggingface-and-keras", "kernel_id": "8567027"}, {"ref": "xhlulu/jigsaw-tpu-xlm-roberta", "kernel_id": "8695336"}, {"ref": "faraksuli/jigsaw-toxic-comment-inference", "kernel_id": "8559994"}, {"ref": "pchlq82/fleeting-look-at-emoji", "kernel_id": "8661537"}, {"ref": "ashoksrinivas/bert-implementation-in-keras", "kernel_id": "8601490"}, {"ref": "xiwuhan/jg-toxic-training", "kernel_id": "8888223"}, {"ref": "tapaskd123/data-multilingual", "kernel_id": "8927803"}, {"ref": "tapaskd123/english-test", "kernel_id": "8970738"}, {"ref": "anusvar/kernelc73fc20e00", "kernel_id": "8768811"}, {"ref": "anusvar/kernel6386f46944", "kernel_id": "8787833"}, {"ref": "tanulsingh077/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "8798031"}, {"ref": "lacls1810/jigsaw-multilingual-toxicity-eda-models", "kernel_id": "8653179"}, {"ref": "ajax0564/jigsaw-cleaning", "kernel_id": "8924253"}, {"ref": "lucca9211/inference-pytorch-multilingual-tpu", "kernel_id": "8915704"}, {"ref": "lucca9211/jigsawsubmit1", "kernel_id": "8836231"}, {"ref": "lucca9211/test-exp", "kernel_id": "8886003"}, {"ref": "lucca9211/pytorch-multilingual-tpu", "kernel_id": "8893693"}, {"ref": "lucca9211/jigsawdatabunch", "kernel_id": "8818323"}, {"ref": "lucca9211/jigsawmultilingualfastai", "kernel_id": "8822535"}, {"ref": "divyamdj/bert-multilingual-8-core", "kernel_id": "8813137"}, {"ref": "divyamdj/inference-bert-model", "kernel_id": "8823850"}, {"ref": "proxyy/jigsaw-toxic", "kernel_id": "8983176"}, {"ref": "vikassingh1996/don-tsay-whatthef-eda-fe-lr", "kernel_id": "8555118"}, {"ref": "p4rallax/bert-baseline-tpu", "kernel_id": "8577406"}, {"ref": "eswarchandt/eda-and-text-processing", "kernel_id": "8552898"}, {"ref": "floe125/jigsaw-tpu-distilbert", "kernel_id": "8747446"}, {"ref": "eliasgreen/toxic-not-song", "kernel_id": "8737745"}, {"ref": "aniketyadav/jigsaw-multilingual-getting-started", "kernel_id": "8773733"}, {"ref": "sharif08/kernel534322ad33", "kernel_id": "8755999"}, {"ref": "stanleychu/jigsaw-toxic-comment", "kernel_id": "8990476"}, {"ref": "baranwalakash/jigsaw", "kernel_id": "8936052"}, {"ref": "siddharthcha519810/toxic-comments-eda-and-xlm-roberta-model", "kernel_id": "8779853"}, {"ref": "mgorner/tpu-gpu-optimized-jigsaw-multilingual-bert", "kernel_id": "8551853"}, {"ref": "namanmehta1/jigsaw-roberta-nlp-top-20", "kernel_id": "8767469"}, {"ref": "dmitryhcl/xlm-roberta-pseudo-labeling", "kernel_id": "8863195"}, {"ref": "mdpaleti/kernel29cadaffd8", "kernel_id": "8992402"}, {"ref": "ananysharma/text-classification", "kernel_id": "8730641"}, {"ref": "biswarupray/bert-train-model", "kernel_id": "8816858"}, {"ref": "narenrathore/kernel3e2d75e989", "kernel_id": "8814072"}, {"ref": "kivlichangoogle/jigsaw-multilingual-getting-started", "kernel_id": "8544945"}, {"ref": "kivlichangoogle/jigsaw-multilingual-preprocessing", "kernel_id": "8545384"}, {"ref": "adityasinghgoliya/pytorch-tpu", "kernel_id": "8990961"}, {"ref": "llck72/jigsaw-tpu-bert-two-stage-training", "kernel_id": "8668099"}, {"ref": "dhankabalan/toxic-multiling-comment-with-distilbert", "kernel_id": "8979166"}, {"ref": "srbhss/toxic-comment-classification", "kernel_id": "8912750"}, {"ref": "davidelibenzi/simple-xlmr-tpu-pytorch", "kernel_id": "8809957"}, {"ref": "kristinam0/jigsaw-kcheng", "kernel_id": "9135489"}, {"ref": "riblidezso/tpu-custom-tensoflow2-training-loop", "kernel_id": "9698531"}, {"ref": "riblidezso/colab-train-xlm-r-large-with-tpu-v2-8-on-colab", "kernel_id": "9727398"}, {"ref": "riblidezso/train-from-mlm-finetuned-xlm-roberta-large", "kernel_id": "9959511"}, {"ref": "riblidezso/finetune-xlm-roberta-on-jigsaw-test-data-with-mlm", "kernel_id": "9957050"}, {"ref": "keremt/xlm-roberta-tpu-training-keras", "kernel_id": "9403045"}, {"ref": "keremt/xlm-roberta-tpu-training-fastai-style", "kernel_id": "9247957"}, {"ref": "keremt/xlm-roberta-tpu-inference-1-core", "kernel_id": "9288584"}, {"ref": "arvindsg/parcor-regularised-classification", "kernel_id": "9994589"}, {"ref": "kiona1018/tpu-inference-super-fast-xlmroberta", "kernel_id": "9796024"}, {"ref": "sleebapaul/jigsaw-comment-classification-notebook-one", "kernel_id": "9609800"}, {"ref": "sleebapaul/jigsaw-comment-classification-notebook-two", "kernel_id": "9661610"}, {"ref": "tanlikesmath/the-ultimate-pytorch-tpu-tutorial-jigsaw-xlm-r", "kernel_id": "9166087"}, {"ref": "minhtriet/test-toxic", "kernel_id": "9468277"}, {"ref": "jeabat/translate-the-comments-using-marianmt", "kernel_id": "9541976"}, {"ref": "xanthate/train-jigsaw-multilingual-v1-bert", "kernel_id": "9751126"}, {"ref": "xanthate/xlm-roberta-large-encoding-400k", "kernel_id": "9889863"}, {"ref": "xanthate/bert-tokenize-dataset", "kernel_id": "9726218"}, {"ref": "xanthate/xlm-roberta-large-pytorch-xla-tpu", "kernel_id": "9682006"}, {"ref": "plarmuseau/simple-logistic", "kernel_id": "9481861"}, {"ref": "plarmuseau/jigsaw-spacy", "kernel_id": "9084716"}, {"ref": "furcifer/translating-on-google-colab-ipynb", "kernel_id": "9137005"}, {"ref": "shahules/tackle-with-label-smoothing-proved", "kernel_id": "9183097"}, {"ref": "shahules/fine-tune-xlm-kfold-cv-0-93-lb", "kernel_id": "9045211"}, {"ref": "joydeb28/using-bert-please-upvote", "kernel_id": "9281340"}, {"ref": "joydeb28/using-distilbert-with-huggingface-please-upvote", "kernel_id": "9321590"}, {"ref": "amoghjrules/tpu-inference-super-fast-bert", "kernel_id": "9187332"}, {"ref": "yashobhan/cursed-comments", "kernel_id": "9400118"}, {"ref": "rftexas/cleaning-and-removing-mis-spells-from-texts", "kernel_id": "9214661"}, {"ref": "rftexas/ml-cheatsheet-a-mind-map-for-nlp", "kernel_id": "9326390"}, {"ref": "rftexas/nlp-cheatsheet-master-nlp", "kernel_id": "9347010"}, {"ref": "ratthachat/jigsaw-gpt2-with-xlm-r-embedding", "kernel_id": "9351559"}, {"ref": "ilhamfp31/indoxtc-extracting-toxic-en-features-mbert-6", "kernel_id": "9190626"}, {"ref": "ilhamfp31/indoxtc-extracting-toxic-en-features-mbert-5", "kernel_id": "9166910"}, {"ref": "ilhamfp31/indoxtc-extracting-toxic-en-features-mbert-4", "kernel_id": "9166895"}, {"ref": "ilhamfp31/indoxtc-fine-tune-full-toxic-xlm-r-simpler", "kernel_id": "9236039"}, {"ref": "ilhamfp31/load-data", "kernel_id": "9124769"}, {"ref": "ilhamfp31/indoxtc-extracting-toxic-en-features-xlm-r-2", "kernel_id": "9129628"}, {"ref": "ilhamfp31/indoxtc-extracting-toxic-en-features-xlm-r-3", "kernel_id": "9129630"}, {"ref": "ilhamfp31/indoxtc-extracting-toxic-en-features-xlm-r-1", "kernel_id": "9129582"}, {"ref": "ilhamfp31/indoxtc-extracting-toxic-en-features-mbert-1", "kernel_id": "9159409"}, {"ref": "ilhamfp31/indoxtc-extracting-toxic-en-features-mbert-2", "kernel_id": "9159412"}, {"ref": "ilhamfp31/indoxtc-extracting-toxic-en-features-mbert-3", "kernel_id": "9159413"}, {"ref": "ilhamfp31/indoxtc-fine-tune-full-toxic-xlm-r-comparable", "kernel_id": "9591162"}, {"ref": "kosovanolexandr/toxic-comment-classification-get-started", "kernel_id": "9269254"}, {"ref": "anthonyemeka12/jigsaw-multilingual-toxic-comment-classification", "kernel_id": "9033086"}, {"ref": "pavansanagapati/14-simple-tips-to-save-ram-memory-for-1-gb-dataset", "kernel_id": "9240304"}, {"ref": "chenshengabc/jigsaw-tpu-xlm-roberta", "kernel_id": "9351398"}, {"ref": "khoongweihao/ensemble-ii-the-dark-side-of-stacking", "kernel_id": "9332734"}, {"ref": "garbefdecd/kernel7519391c21", "kernel_id": "9456494"}, {"ref": "garbefdecd/submission-1", "kernel_id": "9456375"}, {"ref": "nizamuddin/jigsaw", "kernel_id": "9908585"}, {"ref": "ahmeriq09/kernel1a5f6e062f", "kernel_id": "9282427"}, {"ref": "roydatascience/introduction-to-rankdata-ensembling", "kernel_id": "9102027"}, {"ref": "roydatascience/xlm-roberta-with-dense-layers", "kernel_id": "9834497"}, {"ref": "shonenkov/class-balance-with-pytorch-xla", "kernel_id": "9229595"}, {"ref": "shonenkov/hack-with-parallel-corpus", "kernel_id": "9173082"}, {"ref": "shonenkov/prepare-training-data", "kernel_id": "9271567"}, {"ref": "shonenkov/tpu-training-super-fast-xlmroberta", "kernel_id": "9288221"}, {"ref": "shonenkov/nlp-albumentations", "kernel_id": "9153081"}, {"ref": "shonenkov/tpu-inference-super-fast-xlmroberta", "kernel_id": "9130068"}, {"ref": "rishabhdhiman/eda-xlm-roberta-large-on-tpu", "kernel_id": "9784875"}, {"ref": "benayas/eda-additional-training-files-features", "kernel_id": "9108261"}, {"ref": "benayas/google-cloud-storage-integration", "kernel_id": "9432961"}, {"ref": "akashsuper2000/tpu-inference-super-fast-xlmroberta", "kernel_id": "9146098"}, {"ref": "akashsuper2000/ensemble", "kernel_id": "9532696"}, {"ref": "akashsuper2000/jigsaw-understanding-cross-lingual-models", "kernel_id": "9784075"}, {"ref": "parikshitag/bert-tpu-huggingface", "kernel_id": "9491170"}, {"ref": "rainmaker29/jigsaw-bert-transfer-learning", "kernel_id": "9242033"}, {"ref": "vaibhavbhandari2999/tpu-testing", "kernel_id": "9166542"}, {"ref": "vaibhavbhandari2999/tpu-training", "kernel_id": "9165953"}, {"ref": "pushpendraparmar/toxic", "kernel_id": "9499096"}, {"ref": "deeplearningrobot/toxic-comment-classification", "kernel_id": "9101124"}, {"ref": "deeplearningrobot/tokenize-dataset", "kernel_id": "9114395"}, {"ref": "adwaitraghav/lstm-toxic-comments", "kernel_id": "9073284"}, {"ref": "adwaitraghav/logistic-toxic-comments-classification", "kernel_id": "9068842"}, {"ref": "darshaanjay/nlp-with-bert", "kernel_id": "9089996"}, {"ref": "pranshu29/jigsaw-with-gpt2-3folds", "kernel_id": "9145297"}, {"ref": "batprem/kernel79f3cf4111", "kernel_id": "9990051"}, {"ref": "muhammadumarfarrukh/toxic-comments-working", "kernel_id": "9149960"}, {"ref": "swannnn/jigsaw-tpu-xlm-roberta-e3ad07", "kernel_id": "9948348"}, {"ref": "zzzzzzzzzzzzz/jigsaw-tpu-xlm-roberta", "kernel_id": "9399698"}, {"ref": "zzzzzzzzzzzzz/jigsaw-tpu-bert-with-huggingface-and-keras", "kernel_id": "9631247"}, {"ref": "zzzzzzzzzzzzz/understanding-cross-lingual-models", "kernel_id": "9620336"}, {"ref": "zzzzzzzzzzzzz/nb-svm-strong-linear-baseline", "kernel_id": "9619599"}, {"ref": "keenborder/comparing-different-transformers-lstms", "kernel_id": "9975574"}, {"ref": "xiwuhan/jmtc-fine-tune", "kernel_id": "9458368"}, {"ref": "rockingromio/bert-jigsaw-classification", "kernel_id": "9453780"}, {"ref": "vgodie/class-balancing", "kernel_id": "9882065"}, {"ref": "vgodie/first-baseline", "kernel_id": "9866608"}, {"ref": "vgodie/data-encoding", "kernel_id": "9871675"}, {"ref": "vgodie/jigsaw-eda", "kernel_id": "9843585"}, {"ref": "vgodie/xlm-roberta", "kernel_id": "9953941"}, {"ref": "janvi1999/toxic-comment-classification-using-bert", "kernel_id": "9709985"}, {"ref": "tanulsingh077/pytorch-xla-understanding-tpu-s-and-xla", "kernel_id": "9436633"}, {"ref": "nkaps98/jigsaw-multilingual-toxicity-bert-huggingface", "kernel_id": "9285087"}, {"ref": "dmitrykilievych/nlp-cheatsheet-master-nlp", "kernel_id": "9471353"}, {"ref": "prateekarma/logistic-regression-with-feature-engineering", "kernel_id": "9644987"}, {"ref": "googoogoojoob/simple-efficient-catboost-classifier", "kernel_id": "9975680"}, {"ref": "maunish/nlp-challange-learning-nlp-in-1-week", "kernel_id": "9058124"}, {"ref": "maunish/jigsaw-tensorflow-hub-vs-hugging-face", "kernel_id": "9061308"}, {"ref": "k1gaggle/fork-of-tpu-training-super-fast-xlmroberta", "kernel_id": "9964614"}, {"ref": "ajax0564/tpu-bert-multi-lang-modify-crossentropy", "kernel_id": "9300681"}, {"ref": "jitensharma597/jigsaw-xlm-roberta-7-languages", "kernel_id": "9772410"}, {"ref": "jitensharma597/jigsaw-tpu-bert-with-huggingface", "kernel_id": "9282807"}, {"ref": "sukanthen/xlm-roberta-for-jigsaw-competition", "kernel_id": "9090351"}, {"ref": "sukanthen/jigsaw-multilingual-toxic-comment-classification", "kernel_id": "9117226"}, {"ref": "pastrop/submission-ntbk", "kernel_id": "9792808"}, {"ref": "shikhar721/jigsaw-shikhar", "kernel_id": "9058000"}, {"ref": "lucca9211/custom-training-sentiment", "kernel_id": "9841543"}, {"ref": "lucca9211/multilingual-toxic", "kernel_id": "9708389"}, {"ref": "raviyadav2398/jigsaw-multilingual-toxic-comments", "kernel_id": "9006042"}, {"ref": "benben2/torch-xlm", "kernel_id": "9650396"}, {"ref": "prateek146/multilingual-toxic-comment-with-bert", "kernel_id": "9160740"}, {"ref": "harsha99b/jigsaw", "kernel_id": "9935281"}, {"ref": "iserya/inference-bert-model", "kernel_id": "9672403"}, {"ref": "csabdulelah/4-xlm-r-model-for-classification-toxic-comments", "kernel_id": "9470784"}, {"ref": "csabdulelah/kernel33e41b552e", "kernel_id": "9369922"}, {"ref": "zengm71/jigsaw-bert", "kernel_id": "9558495"}, {"ref": "sai11fkaneko/data-leak", "kernel_id": "9771573"}, {"ref": "kayvanshah/roberta-large-2", "kernel_id": "9508032"}, {"ref": "heyytanay/jigsaw-classification-bert", "kernel_id": "9242676"}, {"ref": "zhorlacher/jigsaw-multilingual-eda", "kernel_id": "9665605"}, {"ref": "pranjaldub1999/english-toxic-classification-gpu", "kernel_id": "9628161"}, {"ref": "knoby10/multi-lingual-toxic-comment-classification-jigsaw", "kernel_id": "9819598"}, {"ref": "anthonynama/toxic-asterick-words-cased-replace", "kernel_id": "9860791"}, {"ref": "bs2537/kernel54ce31d12f", "kernel_id": "9641888"}, {"ref": "bs2537/bert-multilingual-jigsaw-tpu", "kernel_id": "9642212"}, {"ref": "bs2537/distilbert-english-99-2-val-auc-jigsaw", "kernel_id": "9673183"}, {"ref": "gauravsharma11/jigsaw-model-using-cnn", "kernel_id": "9004686"}, {"ref": "deshwalmahesh/nlp-beginner-1-rnn-lstm-gru-embeddings-glove", "kernel_id": "9688365"}, {"ref": "stanleychu/final-project-bert", "kernel_id": "9849880"}, {"ref": "quanncore/pytorch-tpu-inference", "kernel_id": "9478670"}, {"ref": "madhureshpandey/madhuresh-submission", "kernel_id": "9198876"}, {"ref": "benjaminfontaine/averaged-submissions", "kernel_id": "9570768"}, {"ref": "benjaminfontaine/xlm-roberta-toxicity-predictions", "kernel_id": "9553390"}, {"ref": "tasnimnishatislam/jigsaw-multilingual-preprocessing", "kernel_id": "9500191"}, {"ref": "nikhiljohnk/jigsaw-inference-nikhiljohn", "kernel_id": "9214196"}, {"ref": "davidbirdy/kernel15114e324c", "kernel_id": "9822470"}, {"ref": "alansun17904/undersampled-xlm-roberta-tokenizer", "kernel_id": "9504843"}, {"ref": "alansun17904/wide-and-shallow-cnn", "kernel_id": "9387724"}, {"ref": "yashsudhakardevikar/classifier", "kernel_id": "9970794"}, {"ref": "yashsudhakardevikar/kernel349f34ba28", "kernel_id": "9946290"}, {"ref": "nikkks/kernel1e6542771a", "kernel_id": "9194571"}, {"ref": "chittalpatel/jigsaw-toxic-comment", "kernel_id": "9130285"}, {"ref": "agastyadev/senti", "kernel_id": "9494413"}, {"ref": "kekesssss/kernel443d3bbd19", "kernel_id": "9669936"}, {"ref": "sarahaljudaibi/1-preprocessing-eda-data-cleaning", "kernel_id": "9460478"}, {"ref": "sarahaljudaibi/3-bert-model-for-classification-toxic-comments", "kernel_id": "9379521"}, {"ref": "anil4274/jigsaw-multilingual", "kernel_id": "9279385"}, {"ref": "erinakarati/jigsaw", "kernel_id": "9202892"}, {"ref": "kaushikvit/tpu2-testing", "kernel_id": "9193949"}, {"ref": "kaushikvit/tpu2-training", "kernel_id": "9189571"}, {"ref": "siddhartharora2001/pre-processing", "kernel_id": "9153423"}, {"ref": "bruuuuuuce/jigsaw-tpu-xlm-roberta", "kernel_id": "9046798"}, {"ref": "ych1997ych/lstm-1", "kernel_id": "9671353"}, {"ref": "ych1997ych/gru-v1", "kernel_id": "9591710"}, {"ref": "ych1997ych/final-project", "kernel_id": "9817603"}, {"ref": "sathwikvemulapally/kernel5c1e8be415", "kernel_id": "9054964"}, {"ref": "jenex12/ensemble", "kernel_id": "9187038"}, {"ref": "mistercopperfield/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "9432741"}, {"ref": "pandeyaditya/submission", "kernel_id": "9524735"}, {"ref": "mikhailderevyannykh/kernel3c13509779", "kernel_id": "9992772"}, {"ref": "tapasdutta/all-layers", "kernel_id": "9550663"}, {"ref": "mitalilamkhade/tpu-roberta-large", "kernel_id": "9904427"}, {"ref": "anasofiauzsoy/toxic-comment-classification-with-tensorflow", "kernel_id": "9914014"}, {"ref": "anasofiauzsoy/multilingual-toxic-comments-with-tf2-bert", "kernel_id": "9934467"}, {"ref": "translucent/easy-ensemble", "kernel_id": "9466835"}, {"ref": "simrankucheria/fastai", "kernel_id": "9574162"}, {"ref": "simrankucheria/fastai-roberta", "kernel_id": "9650041"}, {"ref": "norahsh/2-lstm-model-for-toxic-classification-comments", "kernel_id": "9481605"}, {"ref": "shivamkhandewal/kernel1d117f0337", "kernel_id": "9848454"}, {"ref": "dineshharshavardan/bert-jigsaw", "kernel_id": "9988044"}, {"ref": "ruslanradchenko/pytorch-tpu-starter-training", "kernel_id": "9930852"}, {"ref": "aramrahimi/sj-lvst-ndig-uppgift-aram", "kernel_id": "9977990"}, {"ref": "philippsinger/xlm-roberta-large-pytorch-pytorch-tpu", "kernel_id": "10575559"}, {"ref": "hmendonca/jigsaw20-xlm-r-lb0-9487-single-model", "kernel_id": "10290296"}, {"ref": "hmendonca/jigsaw20-ds-tt6-36", "kernel_id": "10080400"}, {"ref": "rafiko1/1st-place-jigsaw-post-processing-example", "kernel_id": "10433740"}, {"ref": "rafiko1/1st-place-baseline-xlm-r-es-it-tr", "kernel_id": "10433434"}, {"ref": "lamothy/jigsaw", "kernel_id": "10474222"}, {"ref": "osamir/jigsaw-pre-xlm-roberta-large-cpu-multi-v10-1", "kernel_id": "10045154"}, {"ref": "mdp1990/toxic-comment-classification-using-gru", "kernel_id": "10306781"}, {"ref": "mdp1990/toxic-comment-classification-using-word-embedding", "kernel_id": "10268898"}, {"ref": "zhuflower/sentiment-analysis-tpu", "kernel_id": "10304873"}, {"ref": "anjanatiha/with-sklearn-cv-97-accuracy", "kernel_id": "10029152"}, {"ref": "fatmagu/transformer-block-jigsaw-data", "kernel_id": "10561690"}, {"ref": "bond005/siamese-xlm-roberta", "kernel_id": "10305945"}, {"ref": "bond005/siamese-xlm-roberta-for-tpu", "kernel_id": "10543637"}, {"ref": "bond005/siamese-xlm-roberta-and-bayesian-nn", "kernel_id": "10592739"}, {"ref": "demesgal/nb-svm", "kernel_id": "10145485"}, {"ref": "manjeetsingh/jigsaw-toxic-comment-gru", "kernel_id": "10283946"}, {"ref": "yeayates21/xlm-roberta-augmentation-ssl-0-9417-pub-lb", "kernel_id": "10044078"}, {"ref": "jing2629/project", "kernel_id": "10318130"}, {"ref": "jing2629/jigsaw-classifier", "kernel_id": "10441846"}, {"ref": "mint101/basic-xlm-r-lb-9442-intro", "kernel_id": "10770980"}, {"ref": "mint101/example-code-of-pseudo-label-on-xlm-r", "kernel_id": "10874746"}, {"ref": "mint101/jmtc-20-lb-9508-mono-lingual-models", "kernel_id": "10900698"}, {"ref": "mint101/transfer-to-monolingual-mix", "kernel_id": "10890861"}, {"ref": "mint101/lb-9482-by-simple-public-result-bf-end-ensemble", "kernel_id": "10278790"}, {"ref": "floevan/dl-and-ml-for-nlp", "kernel_id": "10729445"}, {"ref": "isakev/jigsaw-adversarial-validation-folds-0-1", "kernel_id": "10084601"}, {"ref": "ymlai87416/xlm-roberta-and-submit", "kernel_id": "10089629"}, {"ref": "betweens/submission-for-novice-only", "kernel_id": "10082126"}, {"ref": "qinhui1999/post-process-test", "kernel_id": "10300224"}, {"ref": "agnel4011/toxic-comment-classification", "kernel_id": "10038145"}, {"ref": "joydeb28/simplernn-achive-good-accuracy", "kernel_id": "10072335"}, {"ref": "amoghjrules/nb-svm-strong-linear-baseline-4e6560", "kernel_id": "10631627"}, {"ref": "xukaibing/single-model-9471-9455-private-lb", "kernel_id": "10283460"}, {"ref": "vallabhreddy/eda-and-roberta-using-huggingface-trasformers", "kernel_id": "10023373"}, {"ref": "hamditarek/fork-of-ensemble", "kernel_id": "10156288"}, {"ref": "rahulbana/huggingface-bert-keras-classification", "kernel_id": "10525995"}, {"ref": "roydatascience/silver-medal-solution-9482-9469-private-lb", "kernel_id": "10227634"}, {"ref": "shikha130vv/fork-of-from-first-principles-toxic-or-not-v1", "kernel_id": "10465406"}, {"ref": "zzy990106/howling-with-wolf-on-l-genpresse", "kernel_id": "10252540"}, {"ref": "akashsuper2000/best-ensemble", "kernel_id": "10049061"}, {"ref": "akashsuper2000/howling-with-wolf-on-l-genpresse", "kernel_id": "10185107"}, {"ref": "medrau/train-from-mlm-finetuned-val-per-lang", "kernel_id": "10229100"}, {"ref": "khanradcoder/distilbert-classification", "kernel_id": "10085282"}, {"ref": "nlebang/jmtc-classification-starting", "kernel_id": "10065856"}, {"ref": "mykras/jigsaw-tpu-distilbert-with-huggingface-and-keras", "kernel_id": "10402940"}, {"ref": "tobimichigan/kernel6ed668dc26", "kernel_id": "10190757"}, {"ref": "mahmudds/jigsaw-multilingual-toxic-comment-classification", "kernel_id": "10176027"}, {"ref": "phoenix9032/jigsaw-pipeline-niru-v001", "kernel_id": "10237800"}, {"ref": "jazivxt/howling-with-wolf-on-l-genpresse", "kernel_id": "10132620"}, {"ref": "iridiumblue/single-model-9471-9455-private-lb", "kernel_id": "10285437"}, {"ref": "ya10ya10/jigsaw-0620", "kernel_id": "10231709"}, {"ref": "xiwuhan/jmtc-2nd-place-solution", "kernel_id": "10234805"}, {"ref": "tapaskd123/russian-final", "kernel_id": "10279414"}, {"ref": "vgodie/experiments", "kernel_id": "10060706"}, {"ref": "yekunwang1/jigsaw-bert-zero-shot-offenseval-xlm-a37e5c", "kernel_id": "10762707"}, {"ref": "yekunwang1/jigsaw-olid-bert-base-cased-freeze", "kernel_id": "10991271"}, {"ref": "kimary/kernel25124b5e4e", "kernel_id": "10303505"}, {"ref": "cengc13/fork-of-jigsaw-tpu-xlm-roberta-0aaf82", "kernel_id": "10210289"}, {"ref": "cengc13/train-from-mlm-finetuned-en", "kernel_id": "10172198"}, {"ref": "gabrielmayer/model-toxic-competition", "kernel_id": "10227186"}, {"ref": "yekunwang2/jigsaw-olid-bert-base-cased-unfreeze", "kernel_id": "10993246"}, {"ref": "redwankarimsony/jigsawmultilingualtoxiccomments-ensemble", "kernel_id": "10230977"}, {"ref": "jesudasdsouza/kernel-x", "kernel_id": "10204450"}, {"ref": "jesudasdsouza/model-kernel", "kernel_id": "10590364"}, {"ref": "zengm71/jigsaw-bert-zero-shot-offenseval-t5-few-shots", "kernel_id": "10637748"}, {"ref": "zengm71/jigsaw-bert-zero-shot-offenseval", "kernel_id": "10476019"}, {"ref": "zengm71/jigsaw-olid-solid-xlm-same-tokenizer", "kernel_id": "10860478"}, {"ref": "zengm71/jigsaw-olid-solid-xlm-roberta", "kernel_id": "10787820"}, {"ref": "zengm71/jigsaw-olid-solid-xlm-roberta-c6d511", "kernel_id": "10992160"}, {"ref": "jewelltaylor/jigsaw-eda", "kernel_id": "10151855"}, {"ref": "guillaumeparis/preprocessing-with-texthero", "kernel_id": "10163945"}, {"ref": "krishnaheroor/toxic-comment-classification", "kernel_id": "10075424"}, {"ref": "sidharkal/simplernn", "kernel_id": "10100316"}, {"ref": "sujeongcha/multilingual-toxic-comment-classification", "kernel_id": "10072198"}, {"ref": "noorhossainsabab/thesis-toxic-text", "kernel_id": "10594389"}, {"ref": "parameshamr/kernel78b29f206b", "kernel_id": "10047744"}, {"ref": "falsedmitry/multilingualtoxiccomment-mbert-xlm-r-transformers", "kernel_id": "10943819"}, {"ref": "nutanhotwani/nlp-for-beginners", "kernel_id": "10430854"}, {"ref": "sophiechampagne/jigsaw-baseline-models-v1", "kernel_id": "10530546"}, {"ref": "alexkouvatas/drafting", "kernel_id": "10137543"}, {"ref": "joydebmondal/simple-and-efficient", "kernel_id": "10063898"}, {"ref": "mikhailderevyannykh/train-from-mlm-finetuned-xlm-r-large", "kernel_id": "10061967"}, {"ref": "zzjoshua/inference-of-bert-tpu-model-ml-w-validation", "kernel_id": "10771945"}, {"ref": "aiaiooas/parcor-regularised-classification", "kernel_id": "10220759"}, {"ref": "mitalilamkhade/eda-xlm-roberta-large", "kernel_id": "10014378"}, {"ref": "anasofiauzsoy/toxic-comments-with-tf2-roberta", "kernel_id": "10043426"}, {"ref": "anasofiauzsoy/toxic-comments-tf2-roberta", "kernel_id": "10085738"}, {"ref": "abhisharma1991/kernel6c5b2316b3", "kernel_id": "10025314"}, {"ref": "hiepkate/toxiccommentclassification", "kernel_id": "10102217"}, {"ref": "gakoesataria1/re-hell-notebook-vanilla-submission", "kernel_id": "10343552"}, {"ref": "michaelzeng71/jigsaw-olid-solid-xlm-same-tokenizer", "kernel_id": "10979609"}, {"ref": "michaelzeng71/fork-of-jigsaw-olid-solid-xlm-roberta", "kernel_id": "10873840"}, {"ref": "michaelzeng71/jigsaw-bert-zero-shot-offenseval-t5-few-shots", "kernel_id": "10766733"}, {"ref": "michaelzeng71/jigsaw-olid-solid-xlm-roberta-same-tokenizer", "kernel_id": "10827001"}, {"ref": "miao6666/jigsaw-olid-solid-xlm-same-tokenizer", "kernel_id": "10991518"}, {"ref": "ceshine/jigsaw-tpu-xlm-roberta", "kernel_id": "11011934"}, {"ref": "kalashnimov/distilbert-baseline", "kernel_id": "11023810"}, {"ref": "kalashnimov/bert-benchmark", "kernel_id": "11046865"}, {"ref": "kalashnimov/xlm-roberta-ensemble", "kernel_id": "11379836"}, {"ref": "shangweichen/improved-1st-place-baseline-pseudo-labels", "kernel_id": "11604133"}, {"ref": "longtng/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "11224718"}, {"ref": "snehallokesh31096/xlm-roberta-for-sst-2", "kernel_id": "11671187"}, {"ref": "sofaking1998/xlmr-mine-bert", "kernel_id": "11516534"}, {"ref": "pawan2905/multilabel-classification", "kernel_id": "11286000"}, {"ref": "dahouda/toxic-comment-recognition", "kernel_id": "11782504"}, {"ref": "nigula/kernel68b445bb3e", "kernel_id": "11124838"}, {"ref": "akshat0007/bert-using-tensorflow-jigsaw-toxic-comment-data", "kernel_id": "11061218"}, {"ref": "meistermorxrc/rnn-lstm-gru-bidrec-rnn-transformer-bert", "kernel_id": "11729422"}, {"ref": "gogo827jz/jigsaw-roberta-large-on-tpu", "kernel_id": "11485682"}, {"ref": "eiann1509/jigsaw-tpu-baseline-models-bert-and-eda", "kernel_id": "11619126"}, {"ref": "drnykterstein/tpu-rnn-and-glove-in-nlp", "kernel_id": "11866464"}, {"ref": "drnykterstein/jigsaw-tpu-distilbert-with-huggingface", "kernel_id": "11964843"}, {"ref": "xj609210970/xlm-r-conv1d-single-model-0-9448", "kernel_id": "11318581"}, {"ref": "queensaikia/multilingual-toxic-comment-classification", "kernel_id": "11211270"}, {"ref": "ananysharma/multilingual-toxicity-eda-model", "kernel_id": "11053776"}, {"ref": "vaishnavikhilari/jigsaw-multilingual-toxic-comment-classification", "kernel_id": "11585190"}, {"ref": "ahmedmurad1990/pytorch-xla-understanding-tpu-s-and-xla", "kernel_id": "11374934"}, {"ref": "yunxiaoli/xlm-roberta-with-cleaned-data", "kernel_id": "11159951"}, {"ref": "yunxiaoli/exploratory-data-analysis", "kernel_id": "11174323"}, {"ref": "skloveyyp/jigsaw-xlm", "kernel_id": "11605417"}, {"ref": "sunsern/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "12500059"}, {"ref": "nickball007/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "12503658"}, {"ref": "omkar2795/jigsaw-xlm-roberta2", "kernel_id": "12120833"}, {"ref": "akashsuper2000/bidirectional-lstm-with-convolution", "kernel_id": "12207407"}, {"ref": "akashsuper2000/toxic-comment-classification-eda", "kernel_id": "12206447"}, {"ref": "akashsuper2000/toxic-comment-classification-dataset", "kernel_id": "12231250"}, {"ref": "anyexiezouqu/fake-news-dectetion-tpu", "kernel_id": "12407680"}, {"ref": "ashrafkhan94/toxic-comments-bert-tokenizer", "kernel_id": "12535253"}, {"ref": "vineetkumar98/jigsaw-multilingual-toxicity-eda-models-be60c6", "kernel_id": "12739741"}, {"ref": "bond005/siamese-xlm-r-for-multilingual-sentiment-analysis", "kernel_id": "13074392"}, {"ref": "omkar2795/bert-multilingual-toxic", "kernel_id": "13199904"}, {"ref": "yashdalmia/finetune-xlm-roberta-on-jigsaw-test-data-with-mlm", "kernel_id": "13150083"}, {"ref": "olegbezb/logreg-distilbert-baseline", "kernel_id": "13097626"}, {"ref": "khwajawisal/bert-pytorch-nlp-classifier", "kernel_id": "13540159"}, {"ref": "divonysus/xlm-r-pytorch-implementation", "kernel_id": "13488801"}, {"ref": "faressayah/amazon-reviews-sentiment-analysis-with-keras", "kernel_id": "13408829"}, {"ref": "joshuaschmidt/final-project", "kernel_id": "13544561"}, {"ref": "unauthorizedshelley/nlpcc-temp1", "kernel_id": "13597010"}, {"ref": "ecksdeee/careerwoods-toxic", "kernel_id": "13808038"}, {"ref": "zinebkhanjari/preprocessing", "kernel_id": "13624677"}, {"ref": "kameshmunuswamy/eda-multilingusitic-toxic-comments", "kernel_id": "13586549"}, {"ref": "kamesh03/toxicity-classification-of-xlm-r-and-distilbert", "kernel_id": "13563786"}, {"ref": "krishnakumarkk/kickstart-to-nlp-competitions", "kernel_id": "14702740"}, {"ref": "silveryr/tox-tpu-inference-super-fast-xlmroberta-951c95", "kernel_id": "14209443"}, {"ref": "faressayah/nlp-with-spacy-nltk-gensim", "kernel_id": "14162239"}, {"ref": "faressayah/spacy-chapter-1-finding-words-phrases-names", "kernel_id": "14580921"}, {"ref": "faressayah/spacy-chapter-2-large-scale-data-analysis", "kernel_id": "14584147"}, {"ref": "faressayah/spacy-chapter-3-processing-pipelines", "kernel_id": "14588101"}, {"ref": "mohammedkalshakhori/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "14455363"}, {"ref": "zinebkhanjari/fork-of-preprocessing-de1b84", "kernel_id": "14053511"}, {"ref": "zinebkhanjari/fork-of-preprocessing-16b92a", "kernel_id": "14034108"}, {"ref": "faressayah/text-analysis-topic-modeling-with-spacy-gensim", "kernel_id": "15619405"}, {"ref": "modalayaswanth/submission-1", "kernel_id": "15938540"}, {"ref": "orangeblack/jigsaw-0620", "kernel_id": "15670663"}, {"ref": "tingyi111/jigsaw-0620", "kernel_id": "15671779"}, {"ref": "ruhong/14-simple-tips-to-save-ram-memory-for-1-gb-dataset", "kernel_id": "16296962"}, {"ref": "liudmila0/notebook5223692a47", "kernel_id": "16876612"}, {"ref": "ankitp013/bert-bi-lstm-gru-s-rnn-with-glove-and-fasttext", "kernel_id": "16989374"}, {"ref": "faressayah/transfer-learning-for-natural-language-processing", "kernel_id": "16597633"}, {"ref": "valaid/notebook4653a907de", "kernel_id": "16028431"}, {"ref": "omarjoual/jigsaw-tpu-xlm-roberta", "kernel_id": "16999102"}, {"ref": "mattkierans/kaggle-meetup-nlp-transformers", "kernel_id": "17172861"}, {"ref": "bond005/multilingual-toxic-xlm-roberta", "kernel_id": "17294684"}, {"ref": "bond005/multilingual-toxic-bert", "kernel_id": "17317481"}, {"ref": "gtgindia/multilingual-toxic-xlm-roberta", "kernel_id": "17445499"}, {"ref": "ishandutta/jigsaw-bert-model", "kernel_id": "17124121"}, {"ref": "ubiratanfilho/toxic-comment-with-xgboost", "kernel_id": "17125431"}, {"ref": "c107193206/jigsaw-0812", "kernel_id": "17619507"}, {"ref": "vankhang/myfinal", "kernel_id": "17241379"}, {"ref": "jack3639570/tpu-training-super-fast-xlmroberta", "kernel_id": "18893585"}, {"ref": "vishaldeoprasad/text-analysis-topic-modelling-with-spacy-gensim", "kernel_id": "18329551"}, {"ref": "fabienbenot/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "18590559"}, {"ref": "tharun2001/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "18967383"}, {"ref": "chiaminghu/tpu-training-super-fast-xlmroberta-learning-note", "kernel_id": "18817220"}, {"ref": "sachin/tensorflow-distilbert", "kernel_id": "19787684"}, {"ref": "liudmila0/distilbert-models", "kernel_id": "19416617"}, {"ref": "nayefahmad/kaggle-meetup-nlp-transformers", "kernel_id": "19200109"}, {"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "mestkawy/nlp-zero-to-hero", "kernel_id": "20458805"}, {"ref": "eneszvo/ner-named-entity-recognition-tutorial", "kernel_id": "20082957"}, {"ref": "crprpr/clasificaci-n-de-texto-tensorflow-transformers", "kernel_id": "20429762"}, {"ref": "nilaychauhan/convert-jigsaw-toxic-comment-dataset-to-tfrecords", "kernel_id": "20899255"}, {"ref": "c107193206/jigsaw-0912-kfold", "kernel_id": "20469710"}, {"ref": "yeayates21/jigsaw-severity-xlm-roberta-augmentation-ssl", "kernel_id": "21946605"}, {"ref": "mbotler/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "21917469"}, {"ref": "hetarthchopra/nlp-tensorflow-with-gpu-tpus", "kernel_id": "21559489"}, {"ref": "satyajitmaitra/cnn-classifier", "kernel_id": "21297657"}, {"ref": "ishandutta/jigsaw-all-competition-eda-at-one-place-model", "kernel_id": "21856307"}, {"ref": "ishandutta/deep-learning-experiment-tracking-with-w-b", "kernel_id": "21071702"}, {"ref": "bhavinmoriya/natural-language-processing-nlp-for-beginners", "kernel_id": "21165217"}, {"ref": "urstrulysai/here-s-the-train-csv-you-are-looking-for", "kernel_id": "21798539"}, {"ref": "c107193206/20406080kf", "kernel_id": "21666024"}, {"ref": "henry0908/jigsaw-0812", "kernel_id": "21235020"}, {"ref": "sachin/pytorch-lightning-toxic-comments-base", "kernel_id": "22959038"}, {"ref": "gauravbrills/jigsaw-luke-train-with-torch-xla", "kernel_id": "22093864"}, {"ref": "yasufuminakama/jigsaw4-luke-base-starter-train", "kernel_id": "22071684"}, {"ref": "bouncyflame/toxic-comment-classification", "kernel_id": "22448965"}, {"ref": "shobhitupadhyaya/generated-data-from-previous-jigsaw-competitions", "kernel_id": "22108645"}, {"ref": "adldotori/all-in-one-dataset", "kernel_id": "22457529"}, {"ref": "dooneen/notebook585d78e2db", "kernel_id": "22772910"}, {"ref": "jirkaborovec/toxic-comments-with-lightning-flash", "kernel_id": "22008158"}, {"ref": "mst8823/roberta-base-with-jigsaw-toxic-comment-infer", "kernel_id": "22080361"}, {"ref": "mst8823/roberta-base-with-jigsaw-toxic-comment-train", "kernel_id": "22080309"}, {"ref": "satya1013/jigsaw-multilingual-toxic-comment-xlm-roberta", "kernel_id": "22331158"}, {"ref": "athirakaladharan/multilingual-toxic-comment-classification-eda", "kernel_id": "22563106"}, {"ref": "masatomurakawamm/jigsaw-tftransformers-regressor-with-attention", "kernel_id": "22526189"}, {"ref": "masatomurakawamm/jigsaw-bert-tftransformers-baseline", "kernel_id": "22502790"}, {"ref": "rukimdev/ridgeregression-ensemble-3-remove-0-data", "kernel_id": "22207246"}, {"ref": "sangambharti/tixicity-problem", "kernel_id": "22924703"}, {"ref": "sittichokenorajeen/gru-toxic", "kernel_id": "22105262"}, {"ref": "zsofislosar/my-first-submission", "kernel_id": "22437217"}, {"ref": "kaerunantoka/jigsaw4-previous-data-preprocessing", "kernel_id": "23944044"}, {"ref": "anteii/advanced-language-modeling", "kernel_id": "23306808"}, {"ref": "tisonludovic/ovr-jigsaw-sgd", "kernel_id": "23676090"}, {"ref": "hidebu/luke-base-add-datasets-private-0-8011", "kernel_id": "23820401"}, {"ref": "athirakaladharan/toxic-comment-classification-logreg-distilbert", "kernel_id": "23910880"}, {"ref": "coreacasa/jigsaw4-luke-large-training-tito-cv-strategy", "kernel_id": "24434176"}, {"ref": "coreacasa/jigsaw4-luke-base-training-tito-cv-strategy", "kernel_id": "24433726"}, {"ref": "saburb/text-analysis-topic-modellingwith-spacy-gensim", "kernel_id": "24489771"}, {"ref": "kaerunantoka/jigsaw4-create-additional-pair-w-jigsaw1", "kernel_id": "24449779"}, {"ref": "sinking8/jigsaw-multilingual-toxic-comment-linreg", "kernel_id": "24015827"}, {"ref": "ilosvigil/jigsaw-train-debertav3-pytorch-lightning", "kernel_id": "24381771"}, {"ref": "nilaychauhan/jigsaw-toxic-comment-classification-using-jax-flax", "kernel_id": "25226066"}, {"ref": "tomluo258/the-ultimate-pytorch-tpu-tutorial-jigsaw-x-bc96f5", "kernel_id": "26406958"}, {"ref": "ritermayer/project-nlp", "kernel_id": "26701303"}, {"ref": "zegveld/natural-language-processing-nlp-for-beginners", "kernel_id": "26374868"}, {"ref": "shinichioto/toxic-comment", "kernel_id": "27489472"}, {"ref": "swan706/sms-spam-nlp", "kernel_id": "27470525"}, {"ref": "rayenghali023/toxic-classification-text-augmentation-by-nlpaug", "kernel_id": "28423357"}, {"ref": "krishnakumarpandit/ai03-trim02-module06-nlpandtextanalyticsfinalexam", "kernel_id": "29047489"}, {"ref": "mindadeepam/ml-cheatsheet-a-mind-map-for-nlp", "kernel_id": "29598455"}, {"ref": "sreevalsae/xlm-roberta-on-jigsaw", "kernel_id": "29185938"}, {"ref": "salus1995/xlm-roberta-on-jigsaw", "kernel_id": "29180709"}, {"ref": "shritech1404/nlp-with-deep-learning", "kernel_id": "30675786"}, {"ref": "hatieuvy/bert-pytorch-huggingface-tpu-version-xla", "kernel_id": "30354785"}, {"ref": "ahmeturunveren/nlpforbegin", "kernel_id": "32239837"}, {"ref": "ivootero/nlp-for-disaster-tweets-ivo-otero", "kernel_id": "34878923"}, {"ref": "maryamsafiyah/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "34454030"}, {"ref": "fahaddalwai/toxicity-detection-using-rnn-bert", "kernel_id": "35568695"}, {"ref": "pittasaitarrun/toxicity-of-comments", "kernel_id": "35709172"}, {"ref": "petrogaglozou/toxicity-classifier-by-m-gaglozou-nlp", "kernel_id": "35785103"}, {"ref": "petrogaglozou/toxicity-classifier-by-m-gaglozou-transformers", "kernel_id": "35809773"}, {"ref": "shahidulugvcse/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "35574311"}, {"ref": "squarehare/multilingual-thingy", "kernel_id": "36863446"}, {"ref": "sunandatata/classifying-the-intent-of-comments", "kernel_id": "36761536"}, {"ref": "janngarcia/tech-exchange-project", "kernel_id": "36643680"}, {"ref": "mohammadripan/eda-let-s-analyze-the-toxicity", "kernel_id": "37974236"}, {"ref": "gugankathiresan/xlm-roberta-with-conv-layer-fixed", "kernel_id": "37791746"}, {"ref": "xiefei/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "38235131"}, {"ref": "gunnusravani/natural-language-processing-nlp-for-beginners", "kernel_id": "38515503"}, {"ref": "sabahesaraki/bag-of-words-meets-bags-of-popcorn-word2vec-nlp", "kernel_id": "38378277"}, {"ref": "venkateshby/team-syntactic-set", "kernel_id": "38430471"}, {"ref": "shreyas1bm20cs156/nlp-extraction-tokenization-and-vectorization", "kernel_id": "38276635"}, {"ref": "rawatparas/roberta-large", "kernel_id": "38297863"}, {"ref": "nidhishgautam/toxic-twitter-lstm", "kernel_id": "39979414"}, {"ref": "suraj520/xlm-cross-lingual-lm-know-train-infer", "kernel_id": "39720831"}, {"ref": "fatmaqazaer/nlp-project-fatmaqazaer", "kernel_id": "39212497"}, {"ref": "yamunakatta/syntactic-set-bert", "kernel_id": "39185298"}, {"ref": "yamunakatta/team-syntactic-set-final", "kernel_id": "39101649"}, {"ref": "div1996p/multilingual-toxic-comment-classification", "kernel_id": "40869732"}, {"ref": "maulikjain26/classification-using-cnn", "kernel_id": "40838734"}, {"ref": "eishkaran/basic-rnn-lstm-gru", "kernel_id": "40741578"}, {"ref": "kkamal2003/basic-rnn-lstm-gru", "kernel_id": "40760262"}, {"ref": "arshnoor7389/toxic-comment-classification-using-rnn-and-lstm", "kernel_id": "40771133"}, {"ref": "arshnoor7389/toxic-comment-classification-using-gru", "kernel_id": "40770805"}, {"ref": "mostafa979/lstm-model-for-toxic-comments", "kernel_id": "41439671"}, {"ref": "mostafa979/bert-model-for-toxic-comments", "kernel_id": "41632636"}, {"ref": "yanettcv/learning-deep-learning-for-nlp", "kernel_id": "41511932"}, {"ref": "shahidulugvcse/natural-language-processing-nlp-for-beginners", "kernel_id": "41978344"}, {"ref": "jaycobson51/nlp-toxic-tweet-classification", "kernel_id": "41029427"}, {"ref": "kdecision/nlp-text-preprocessing-and-text-to-vector", "kernel_id": "42518293"}, {"ref": "pranayrishith16/nlp-wip", "kernel_id": "42136568"}, {"ref": "adarshsaurabh/nlp-sentiment-analysis-bert", "kernel_id": "42494448"}, {"ref": "umarzeinardhisiregar/jigsaw", "kernel_id": "42042961"}, {"ref": "sowmyasamantula/jigsaw-all-competition-eda-at-one-place-model", "kernel_id": "42870842"}, {"ref": "thanniruvyshnavi/jigsaw-0620", "kernel_id": "42871063"}, {"ref": "suyashviraaj/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "43956837"}, {"ref": "mdarifwazedhossain/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "43084387"}, {"ref": "bhishekds/tokenization-rnn-lstm-architecture-with-py", "kernel_id": "46906292"}, {"ref": "pranavpk06/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "46299270"}, {"ref": "ghazouanihaythem/all-about-nlp-and-deep-learning", "kernel_id": "47392062"}, {"ref": "rrb8695/natural-language-processing-nlp-for-beginners", "kernel_id": "47655088"}, {"ref": "ahmedeldessouky1/ahmedeldessouky-58220-finalexam", "kernel_id": "47889954"}, {"ref": "vinitkp/tips-to-save-ram-memory-for-1-gb-dataset", "kernel_id": "50086530"}, {"ref": "rohitnegi1/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "50468470"}, {"ref": "lmikhell/natural-language-processing-nlp-for-beginners", "kernel_id": "50995886"}, {"ref": "krunalkshirsagar523/natural-language-processing-nlp-for-beginners", "kernel_id": "51175263"}, {"ref": "bhavikjikadara/zero-to-transformers-bert-deep-learning-nlp", "kernel_id": "52563472"}, {"ref": "satriasyammahestatma/bert-syam", "kernel_id": "56202558"}, {"ref": "arpitbaheti/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "56755251"}, {"ref": "manvideore/model-bias", "kernel_id": "57899792"}, {"ref": "leonalinlin/natural-language-processing-nlp-for-beginners", "kernel_id": "57010993"}, {"ref": "leonalinlin/nlp-cheatsheet-master-nlp", "kernel_id": "57010779"}, {"ref": "n1kowinter/notebookc6527c2b78", "kernel_id": "58165905"}, {"ref": "marlos11/lab-6", "kernel_id": "61131754"}, {"ref": "olexiihubar/lab-6", "kernel_id": "61111473"}, {"ref": "muhammadatef/text-classification-from-bagofwords-to-transformer", "kernel_id": "62034871"}, {"ref": "vikkubaliga/xai-shap", "kernel_id": "65005812"}, {"ref": "k213331alizainsharif/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "65187334"}, {"ref": "thanhikam/natural-language-processing-nlp-for-beginners", "kernel_id": "65389152"}, {"ref": "willingtodev/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "67415566"}, {"ref": "willingtodev/jigsaw-tpu-distilbert-with-huggingface-and-keras", "kernel_id": "67580108"}, {"ref": "diemhuongnt12/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "67070486"}, {"ref": "preyanka/natural-language-processing-nlp-for-beginners", "kernel_id": "68645168"}, {"ref": "aayushisinghthakur/toxic-comment-classification-using-bert", "kernel_id": "71067547"}, {"ref": "systemroomprint16/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "72297143"}, {"ref": "surbhigaikwad/multilingual-toxic-comment-classifier", "kernel_id": "72366118"}, {"ref": "mariambouzidi/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "73166284"}, {"ref": "minihihihaha/jigsaw-bert-tftransformers-baseline", "kernel_id": "73449924"}, {"ref": "hansgntermayer/contextual-augmentation-jigsaw-multilingual", "kernel_id": "75429073"}, {"ref": "mustafacivici/basicrnn", "kernel_id": "76395762"}, {"ref": "xqwang1717/natural-language-processing-nlp-for-beginners", "kernel_id": "77784386"}, {"ref": "bbcrumbs/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "79481156"}, {"ref": "sahithkumarsangi/nlp-cheatsheet-master-nlp", "kernel_id": "79339864"}, {"ref": "mazgas/project", "kernel_id": "80444633"}, {"ref": "shadaelewa/text-classification-from-bagofwords-to-transformer", "kernel_id": "81558070"}, {"ref": "mariamelsaket/jigsaw-roberta-toxic-text-classification", "kernel_id": "81154173"}, {"ref": "freesui1984/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "83982709"}, {"ref": "guorunzelucia/deep-learning-for-nlp-zero-to-transformers-bert-7", "kernel_id": "85599371"}, {"ref": "abdallahahmed400/nlp-from-zero-to-transformers", "kernel_id": "86999958"}, {"ref": "shiinehata/toxic-cmt-classify-autogluon", "kernel_id": "86087321"}, {"ref": "dineshsinghmehta/deep-learning-rnn-and-transformers", "kernel_id": "90288958"}, {"ref": "vlong34/nlp-testing", "kernel_id": "94865945"}, {"ref": "jackouhai/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "95344640"}, {"ref": "phmthnhduy/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "95342327"}, {"ref": "hoangthaiduongk18hl/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "95635798"}, {"ref": "ducviet2005/nlp-multi", "kernel_id": "95523093"}, {"ref": "robifr/notebooke00ba45380", "kernel_id": "103865577"}, {"ref": "peterpan900/deep-learning-for-nlp-zero-to-transformers-bert", "kernel_id": "104521498"}, {"ref": "hussienwaleed/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "107156956"}, {"ref": "joovictorenomoto/toxic-comment-classification-bi-gru-keras", "kernel_id": "107137493"}, {"ref": "sudhikshavalluru/notebookc87fedac39", "kernel_id": "113343152"}, {"ref": "jitendermutreja/translation-augmentation", "kernel_id": "113896752"}, {"ref": "yosepafrrr/jigsaw-tpu-xlm-roberta", "kernel_id": "114451950"}, {"ref": "baglandaulet/daulet-baglan-230107091-nlp-midterm", "kernel_id": "115229122"}, {"ref": "gjaganmohanachary/fork-of-notebookfc54e385ea-f604ce", "kernel_id": "118669791"}, {"ref": "gjaganmohanachary/cyberbully", "kernel_id": "118553709"}, {"ref": "guludutta321/cyberbully-final", "kernel_id": "119291344"}, {"ref": "shadab80k/ai-safety-red-teaming-guardrails", "kernel_id": "131677892"}, {"ref": "revananthony/nlp-preprocessing-feature-extraction-methods-a-z", "kernel_id": "135695851"}]}
{"competition_id": "19020", "kernels": []}
{"competition_id": "19025", "kernels": []}
{"competition_id": "19030", "kernels": []}
{"competition_id": "19045", "kernels": [{"ref": "baptistegrs/baseline-model", "kernel_id": "8063216"}]}
{"competition_id": "19052", "kernels": []}
{"competition_id": "19059", "kernels": [{"ref": "arnabbiswas1/volcanic-eruption-data-exploration-using-dask", "kernel_id": "12954337"}, {"ref": "adaubas/ingv-challenge-fast-feature-engineering", "kernel_id": "12849621"}, {"ref": "ksvmuralidhar/ingv-modeling-time-series-resampling", "kernel_id": "12272698"}, {"ref": "davidedwards1/volcano-prediction-xgb-v1", "kernel_id": "12472182"}, {"ref": "davidedwards1/volcano-train-fts-gen-v1", "kernel_id": "12428236"}, {"ref": "davidedwards1/volcano-eda-v1", "kernel_id": "12426587"}, {"ref": "davidedwards1/volcano-stft-data-optimisation", "kernel_id": "12813568"}, {"ref": "smngtm/volcanic-explorer", "kernel_id": "12268838"}, {"ref": "rezava/ingv-eda-and-modelling", "kernel_id": "12389940"}, {"ref": "isaienkov/ingv-volcanic-eruption-prediction-eda-modeling", "kernel_id": "12254138"}, {"ref": "christianhritter/volcaniceruption-eda", "kernel_id": "12530259"}, {"ref": "jesperdramsch/introduction-to-volcanology-seismograms-and-lgbm", "kernel_id": "12325748"}, {"ref": "sharmilav/volcaniceruptioneda", "kernel_id": "12883230"}, {"ref": "ajcostarino/denoising-spectrograms-regression-using-convnn", "kernel_id": "12328712"}, {"ref": "ajcostarino/ingv-volcanic-eruption-prediction-lgbm-baseline", "kernel_id": "12247085"}, {"ref": "ajcostarino/ignv-adversarial-validation-cv-lb-differences", "kernel_id": "12596536"}, {"ref": "saxobroko/ingv-volcanic-eruption-prediction-lgbm-baseline", "kernel_id": "12268622"}, {"ref": "dhawal04/ingv-volcanic-eruption-prediction", "kernel_id": "12381100"}, {"ref": "delai50/ingv-imaging-ts-for-mt-doom-eruption-prediction", "kernel_id": "12280830"}, {"ref": "dschettler8845/basic-squeezenet-architecture-w-tfrecords", "kernel_id": "12599504"}, {"ref": "nageshsingh/diet-prediction-on-indian-food-neural-network", "kernel_id": "12523952"}, {"ref": "jagdmir/volcano-eruption-linear-regression", "kernel_id": "12328526"}, {"ref": "ymdhryk/volcano", "kernel_id": "12675199"}, {"ref": "jaredsavage/how-to-predict-a-volcanic-eruption-eda", "kernel_id": "12281330"}, {"ref": "eudmar/volcanic-eruption-eda", "kernel_id": "12609108"}, {"ref": "marcelotsj/eda-visualization-baseline-lgbm", "kernel_id": "12387996"}, {"ref": "eladwar/volcanoes", "kernel_id": "12601147"}, {"ref": "josemori/ingv-eda-basemodel", "kernel_id": "12372959"}, {"ref": "patrick0302/ingv-volcanic-eruption-prediction-add-resamplin", "kernel_id": "12296555"}, {"ref": "patrick0302/ingv-h2o-automl", "kernel_id": "12385389"}, {"ref": "domizianostingi/regression-on-averages-baseline", "kernel_id": "12260229"}, {"ref": "domizianostingi/volcanic-prediction-2", "kernel_id": "12649702"}, {"ref": "domizianostingi/volcanic-prediction-1", "kernel_id": "12627172"}, {"ref": "domizianostingi/gradient-boosting-pseudo-labels", "kernel_id": "12703956"}, {"ref": "domizianostingi/volcanic-prediction-3", "kernel_id": "12758975"}, {"ref": "amanooo/ingv-volcanic-basic-solution-stft", "kernel_id": "12746605"}, {"ref": "khangtran97/cs675-khangtran", "kernel_id": "12792653"}, {"ref": "carpediemamigo/ingv-xgb-skopt-publ-6462355", "kernel_id": "12320912"}, {"ref": "carpediemamigo/ingv-catboost-baseline-tsfresh", "kernel_id": "12575143"}, {"ref": "gianlab/predict-volcanic-eruptions-in-r-via-h2o", "kernel_id": "12317654"}, {"ref": "lyraxvinns/data-preparation-lgbm-modeling", "kernel_id": "12972939"}, {"ref": "mahmoudvaziri/svm-regression-mean", "kernel_id": "12262217"}, {"ref": "piantic/faster-simple-baseline-using-datatable", "kernel_id": "12266446"}, {"ref": "kushagrgoyal/volcano-eruption", "kernel_id": "12512214"}, {"ref": "doanquanvietnamca/lstm-feature-eda", "kernel_id": "12247352"}, {"ref": "soheild91/ingv-nn-xgb-baseline", "kernel_id": "12259996"}, {"ref": "amanjain1008/erupting-volcano-all-in-one-different-eda", "kernel_id": "12996310"}, {"ref": "nayuts/ingv-data-exploration-and-good-feature-search", "kernel_id": "12247453"}, {"ref": "ivankalinchuk/volcanic-experiments-sklearn-and-tensorflow", "kernel_id": "12374467"}, {"ref": "carlmcbrideellis/volcanic-feature-importance-using-boruta-shap", "kernel_id": "12339273"}, {"ref": "carlmcbrideellis/the-volcano-and-the-regularized-greedy-forest", "kernel_id": "12293866"}, {"ref": "cnhung/volcanic-eruption-graphnn-spektral", "kernel_id": "12354792"}, {"ref": "albertozorzetto/volcanic-eruptions", "kernel_id": "12573395"}, {"ref": "pierrejeanne/volcanic-prediction-features-extraction-prediction", "kernel_id": "12737273"}, {"ref": "prakhar1105/volcanic-using-arima", "kernel_id": "12815774"}, {"ref": "swapnilaryansinha/ingv-volcanic-eruption-prediction-using-xgboost", "kernel_id": "12798463"}, {"ref": "manjjimnav/baselinenntorch", "kernel_id": "12257544"}, {"ref": "hasimsk/volcano-eruption", "kernel_id": "12295921"}, {"ref": "zhaoxtxtxt/first-try", "kernel_id": "12275479"}, {"ref": "robertlangdonvinci/volcanic-eruption-catboost", "kernel_id": "12284005"}, {"ref": "michaeltkachuk4/volcanic-eruption-prediction", "kernel_id": "12553312"}, {"ref": "plasticbob/volcano-stft-data-optimisation", "kernel_id": "12941907"}, {"ref": "namndt/ingv-volcanic-eruption-prediction-svr", "kernel_id": "12736508"}, {"ref": "namndt/ingv-volcanic-eruption-prediction", "kernel_id": "12719303"}, {"ref": "florian12/linear-regression-trees-and-neural-networks", "kernel_id": "13760373"}, {"ref": "zydariv/preprocess-volcanic-data", "kernel_id": "13836133"}, {"ref": "sergeyzaitsev/eruption-prediction-with-fft-peaks-and-lgbm", "kernel_id": "13506214"}, {"ref": "deepakbhatp/ingv-spectraldensity-stft-pca-xgb-stratifiedkfold", "kernel_id": "13663189"}, {"ref": "altprof/basic-feature-engineering-and-modeling", "kernel_id": "13404350"}, {"ref": "muhakabartay/ingv-volcano-eda-with-lgbm", "kernel_id": "13139226"}, {"ref": "andtre/optuna-baseline", "kernel_id": "13732831"}, {"ref": "josemori/tree-model-with-time-and-freq-domain-feature", "kernel_id": "13048216"}, {"ref": "umairnsr87/baseline-submission-in-3-steps", "kernel_id": "13950273"}, {"ref": "khangtran97/cs675-finals", "kernel_id": "13025582"}, {"ref": "khangtran97/conv1d-for-volcanic-eruptions-prediction", "kernel_id": "13290630"}, {"ref": "cdisario/eruptions-baseline-pycaret", "kernel_id": "13750200"}, {"ref": "marcelosanchezortega/eda-training", "kernel_id": "13226844"}, {"ref": "obougacha/ingv-xgboost-baseline", "kernel_id": "13034194"}, {"ref": "catadanna/train-with-pool1d-and-lstm", "kernel_id": "13015081"}, {"ref": "top10chi3nthan/27st-solutions", "kernel_id": "13816663"}, {"ref": "damoonshahhosseini/volcano", "kernel_id": "13432587"}, {"ref": "damoonshahhosseini/volcano-data-prep", "kernel_id": "13503703"}, {"ref": "damoonshahhosseini/volcano-xgboost", "kernel_id": "13967404"}, {"ref": "ruchahemantathavale/file-3-rucha", "kernel_id": "13548614"}, {"ref": "mustang007/volcanic-eruption-prediction", "kernel_id": "13285266"}, {"ref": "nihilpudota/volcano-eruption", "kernel_id": "13441168"}, {"ref": "magedmahmoud/classy-notebook-volcanic-eruption-prediction", "kernel_id": "13947580"}, {"ref": "bitcrunch/feature-engineering-pred", "kernel_id": "13507501"}, {"ref": "manjjimnav/tsfresh-adaboost-feature-selection-bay-opt", "kernel_id": "13701977"}, {"ref": "bidinthabasumatary/ingv-volcano-eruption", "kernel_id": "13285086"}, {"ref": "arielco30/ariel-and-nadavs-notebook", "kernel_id": "13600266"}, {"ref": "bogishc2112/volcano-3", "kernel_id": "13160561"}, {"ref": "maostack/rank-gauss-hyperopt-tuning-lightgbm", "kernel_id": "13994978"}, {"ref": "ricorauschkolb/xgboost-stft-extended-features-score-5101188", "kernel_id": "13965385"}, {"ref": "kylesnyder/ingv-spectral-density-w-randomforest", "kernel_id": "13250858"}, {"ref": "kylesnyder/memory-friendly-tf-generator-with-spectogram", "kernel_id": "13371222"}, {"ref": "andreeatodor/ingv-eda-and-lightgbm", "kernel_id": "13320110"}, {"ref": "adriencossa/stfft-and-1d-cnn", "kernel_id": "13923636"}, {"ref": "mariyavedernikova/stacking", "kernel_id": "13723351"}, {"ref": "anatolykuznetsov/kuzrom-final", "kernel_id": "13724730"}, {"ref": "anatolykuznetsov/kuzrom", "kernel_id": "13157896"}, {"ref": "omarouardighi/volcanic-erruption", "kernel_id": "13734872"}, {"ref": "faridshariaty/notebook6", "kernel_id": "13051522"}, {"ref": "tatianamahalova/mtsvolcano", "kernel_id": "13460965"}, {"ref": "danstanton/ingv-visualising-raw-data-eda", "kernel_id": "13383935"}, {"ref": "ivanpermyakov/volcanic-xgbregressor", "kernel_id": "13656785"}, {"ref": "yuriiromashov/kuzromver6", "kernel_id": "13463750"}, {"ref": "yarahalihal/notebook6365512a2f", "kernel_id": "13533581"}, {"ref": "yardencohenbgu/yarden-and-almog", "kernel_id": "13901822"}, {"ref": "ekhtiar/18th-place-predicting-eruption-full-tutorial", "kernel_id": "14183020"}, {"ref": "schlagg/regressors", "kernel_id": "14353909"}, {"ref": "nageshsingh/ingv-catboost-baseline-tsfresh", "kernel_id": "14049270"}, {"ref": "desareca/automl-volcanic-eruption-prediction", "kernel_id": "14048218"}, {"ref": "desareca/xgboost-volcanic-eruption-prediction", "kernel_id": "14047295"}, {"ref": "guimingjiang/1st-place-process-mel-spectrograms-256x256", "kernel_id": "14230539"}, {"ref": "dikuchan/volcanoes-team-cringe", "kernel_id": "14354540"}, {"ref": "dankiy/vulcanic-lstm", "kernel_id": "14346377"}, {"ref": "dankiy/vulcanic-preprocessing", "kernel_id": "14190379"}, {"ref": "yevonnaelandrew/xgboost-stft-bayesianoptimization", "kernel_id": "14064932"}, {"ref": "olyakrylo/notebook73bb7bd47b", "kernel_id": "14347758"}, {"ref": "mhatreyash/volcano-prediction-ml-mini-project", "kernel_id": "15511934"}, {"ref": "mhatreyash/new-ml-mini-project-model", "kernel_id": "15364508"}, {"ref": "tatianamahalova/mts-volcanic", "kernel_id": "17464387"}, {"ref": "miracl16/basic-preprocessing-with-catboost", "kernel_id": "18492486"}, {"ref": "quentinbernardepsi/notebooke6f6a3b8be", "kernel_id": "18356553"}, {"ref": "joeywonpark/1-volcanic-eruption-prediction", "kernel_id": "20894989"}, {"ref": "jteerapong/projectml", "kernel_id": "21592772"}, {"ref": "fdmailden/kravchenko-idz-empi", "kernel_id": "22969346"}, {"ref": "dencho143/barykin-idz", "kernel_id": "22963102"}, {"ref": "madnergod/semenov-idz", "kernel_id": "22964530"}, {"ref": "denmaslov/maslov-idz-empi", "kernel_id": "22969723"}, {"ref": "deimos9711/tereshchenko-idz", "kernel_id": "22964803"}, {"ref": "gl1n0o/alexandrov-iht", "kernel_id": "22860392"}, {"ref": "sergeymorgushin/idz-morgushin", "kernel_id": "22930075"}, {"ref": "alexsandrsuhanov/sukhanov-idz", "kernel_id": "22881153"}, {"ref": "ncjsnjkcs/pereuda-idz", "kernel_id": "22968501"}, {"ref": "dimaorizz/idzznu", "kernel_id": "22680929"}, {"ref": "danilmelnikov132/melnikovidz", "kernel_id": "22690372"}, {"ref": "vladyslavchyk/yeromenko-idz", "kernel_id": "22966405"}, {"ref": "asikasik/rudykidz", "kernel_id": "22855581"}, {"ref": "rotte01/234123", "kernel_id": "22969995"}, {"ref": "bong0506/ingv-volcanic-eruption-prediction", "kernel_id": "23997711"}, {"ref": "yaroslavsamoilenko/samoilenko-idz", "kernel_id": "24569807"}, {"ref": "polinaagapova/agapova-idz-empi", "kernel_id": "24573266"}, {"ref": "pobedash/volcanic-eruption-prediction-with-catboost", "kernel_id": "26085629"}, {"ref": "siriusmhlee/study-ingv-volcanic-eruption-prediction", "kernel_id": "31957950"}, {"ref": "vladislavki/kistrin-idz", "kernel_id": "32351228"}, {"ref": "zlodey509/gluhov-empi-lab5", "kernel_id": "32838983"}, {"ref": "maximshkyropey/shlyropey-idz", "kernel_id": "32995173"}, {"ref": "adriencapuano/eruption-challenge-data", "kernel_id": "32144970"}, {"ref": "naumov1024/naumov-idz-empi", "kernel_id": "32351195"}, {"ref": "kalaban/yavdoshchen-idz", "kernel_id": "32842160"}, {"ref": "kaggler10573fc3631a/grivenko-idz-empi", "kernel_id": "32811649"}, {"ref": "vladyslavgooglya/googlya-idz", "kernel_id": "32830477"}, {"ref": "buck8bunny/khlipitko-empi-idz", "kernel_id": "33034579"}, {"ref": "rotcode/masyukevych-idz-em", "kernel_id": "33528008"}, {"ref": "alekseyantonov/antonov-idz", "kernel_id": "33529686"}, {"ref": "ilyasokolovskiy/sokolvskyj-idz", "kernel_id": "33502873"}, {"ref": "allsmtmap/1-ingv-volcanic-eruption-prediction", "kernel_id": "33247738"}, {"ref": "shizuco/suvorova-idz", "kernel_id": "33525937"}, {"ref": "lonsyyy/petrushenko-idz", "kernel_id": "34702944"}, {"ref": "maxtsis/tsis-idz", "kernel_id": "39041291"}, {"ref": "tkoyama010/predict-volcanic", "kernel_id": "82317905"}]}
{"competition_id": "19062", "kernels": []}
{"competition_id": "19067", "kernels": [{"ref": "dks2000/milan2020", "kernel_id": "8080950"}]}
{"competition_id": "19073", "kernels": [{"ref": "bradhelm/svc-for-a-score-of-0-00020", "kernel_id": "8825445"}, {"ref": "bradhelm/faces-spring-2020", "kernel_id": "8840825"}, {"ref": "bradhelm/cnn-glasses-classifier", "kernel_id": "8861397"}, {"ref": "bradhelm/generating-vectors-w-corrected-labels", "kernel_id": "8873182"}, {"ref": "stevedevney/k-means-for-relabeling-train-dataset", "kernel_id": "8247860"}, {"ref": "pokrovchan/cv-kaggle", "kernel_id": "78768357"}]}
{"competition_id": "19079", "kernels": [{"ref": "vladimirsydor/the-most-naive-baseline", "kernel_id": "8092124"}, {"ref": "pestis/kernel411268e310", "kernel_id": "8086936"}]}
{"competition_id": "19087", "kernels": []}
{"competition_id": "19093", "kernels": []}
{"competition_id": "19097", "kernels": [{"ref": "djanderson07/install-tidy-models", "kernel_id": "8453911"}, {"ref": "djanderson07/simple-regression-model", "kernel_id": "8081451"}]}
{"competition_id": "19103", "kernels": [{"ref": "audhiaprilliant/diamond-price-prediction-full-analysis", "kernel_id": "8834845"}, {"ref": "ridhoaryo/kernel4bd24c5289", "kernel_id": "8242250"}, {"ref": "ismaeelkrayyan/notebook15411b4257", "kernel_id": "38434418"}]}
{"competition_id": "19109", "kernels": []}
{"competition_id": "19112", "kernels": []}
{"competition_id": "19114", "kernels": [{"ref": "chauminhnguyenhec/second-homework-final-version-chau-minh-nguyen", "kernel_id": "8926672"}]}
{"competition_id": "19115", "kernels": [{"ref": "jjcosta/countvectorizer", "kernel_id": "8205748"}, {"ref": "josesanch/p-blico-0-37", "kernel_id": "8213955"}, {"ref": "javiabellan/fast-ai-v1-tabular", "kernel_id": "8146821"}, {"ref": "javiabellan/sklearn-random-forest", "kernel_id": "8166408"}, {"ref": "javiabellan/2-feature-engineering", "kernel_id": "8253219"}, {"ref": "javiabellan/1-eda", "kernel_id": "8252768"}, {"ref": "cristianmeroo/notebook-cristian", "kernel_id": "8184317"}]}
{"competition_id": "19126", "kernels": []}
{"competition_id": "19130", "kernels": [{"ref": "code1110/killershrimp-logistic-regression-baseline", "kernel_id": "8640136"}, {"ref": "egorovmd/randomforest-with-undersampling-without-pointid", "kernel_id": "8942448"}, {"ref": "eliasgreen/simple-eda-simple-model", "kernel_id": "8584367"}, {"ref": "cwthompson/killer-shrimp-temperature-only-model", "kernel_id": "8837724"}, {"ref": "fabiochiusano/eda-missing-data-imputation-simple-model", "kernel_id": "8693410"}, {"ref": "fabiochiusano/pointid-leads-to-perfect-score-on-public-lb", "kernel_id": "8647950"}, {"ref": "dmitriyvaletov/catboost-shapley-eda-balancing", "kernel_id": "9101062"}, {"ref": "dmitriyvaletov/catboost-more-features", "kernel_id": "9825276"}, {"ref": "docxian/killer-shrimps-exploration", "kernel_id": "9645221"}, {"ref": "hatunina/killer-shrimp-adversarial-validation", "kernel_id": "9174324"}, {"ref": "sagargupta323/killer-shrimp-invasion", "kernel_id": "9891520"}, {"ref": "cwthompson/killer-shrimp-2nd-place-solution", "kernel_id": "10042675"}]}
{"competition_id": "19131", "kernels": []}
{"competition_id": "19134", "kernels": [{"ref": "seraphwedd18/power-of-decisiontreeclassifier", "kernel_id": "8312675"}]}
{"competition_id": "19147", "kernels": [{"ref": "gggggggggykim/semantic-textual-similarity-using-bert", "kernel_id": "8471826"}]}
{"competition_id": "19157", "kernels": []}
{"competition_id": "19160", "kernels": []}
{"competition_id": "19164", "kernels": [{"ref": "ucfaibot/core-sp20-ml-apps", "kernel_id": "8152730"}]}
{"competition_id": "19167", "kernels": []}
{"competition_id": "19171", "kernels": []}
{"competition_id": "19175", "kernels": []}
{"competition_id": "19179", "kernels": []}
{"competition_id": "19181", "kernels": []}
{"competition_id": "19190", "kernels": []}
{"competition_id": "19205", "kernels": [{"ref": "jpmiller/open-images-eda", "kernel_id": "905229"}, {"ref": "shawon10/google-object-detection-by-pixellib-mask-rcnn", "kernel_id": "9917537"}, {"ref": "ateplyuk/open-images-2020-tfhub", "kernel_id": "9575555"}, {"ref": "soham1024/kernel3b3f4a4664", "kernel_id": "9582241"}, {"ref": "shantanu1118/image-processing", "kernel_id": "9738846"}, {"ref": "anmolarora01/google-open-images-object-detection-rvc", "kernel_id": "9684144"}, {"ref": "anmolarora01/google-open-images-object-detection-rvc-2020", "kernel_id": "9622933"}, {"ref": "singhuday/image-object-detection", "kernel_id": "9936427"}, {"ref": "bryanafreeman/image-object-detection", "kernel_id": "9638914"}, {"ref": "vsevicky/open-images-object-detection-rvc-2020-edition", "kernel_id": "10965615"}, {"ref": "rstogi896/tf-hub-nms", "kernel_id": "10030162"}, {"ref": "mahmudds/open-images-object-detection-rvc", "kernel_id": "10507480"}, {"ref": "c7934597/tensorflow-hub-faster-rcnn", "kernel_id": "10539664"}, {"ref": "lukecage0/yolov3", "kernel_id": "10095045"}, {"ref": "hal1001k/object-detection-faster-rcnn", "kernel_id": "10360027"}, {"ref": "lozpdata/object-detection-lozpdata", "kernel_id": "10368830"}, {"ref": "hisudha/tf-hub-rcnn-v1", "kernel_id": "11121892"}, {"ref": "hisudha/google-object-detection-rvc-2020-v1-ipynb", "kernel_id": "11185160"}, {"ref": "hisudha/google-object-detection-rvc-2020-tfhub", "kernel_id": "11201737"}, {"ref": "imoore/generate-paintings-by-image-style-transfer", "kernel_id": "11447648"}, {"ref": "sejinsim/cnn-detection-rvc-2020-tf", "kernel_id": "14045671"}, {"ref": "joonghokim/google-open-image-object-detection-using-ssd", "kernel_id": "24792540"}, {"ref": "udaykiran18/object-detection-faster-rcnn", "kernel_id": "31609940"}, {"ref": "fakeroggy/open-images-object-detection-rvc", "kernel_id": "32965054"}, {"ref": "yasmeensharaan/styling-images-with-vgg19", "kernel_id": "36221815"}, {"ref": "sghaziahashmi/object-detection-faster-rcnn", "kernel_id": "40091662"}, {"ref": "vinitkp/generate-paintings-by-image-style-transfer", "kernel_id": "46438705"}, {"ref": "jaymehra27/accen-project-team-6", "kernel_id": "70274793"}, {"ref": "amar179/notebookb02fc423ab", "kernel_id": "114565138"}]}
{"competition_id": "19214", "kernels": [{"ref": "joheras/env-o-ia1920", "kernel_id": "8175643"}]}
{"competition_id": "19221", "kernels": []}
{"competition_id": "19226", "kernels": []}
{"competition_id": "19231", "kernels": [{"ref": "tolgadincer/landmark-recognition-multiprocessing-image-size", "kernel_id": "10959776"}, {"ref": "sandy1112/landmarkreco-2020-class-imbalance-deep-dive-eda", "kernel_id": "10946294"}, {"ref": "socathie/pre-trained-mobilenetv2", "kernel_id": "10956026"}, {"ref": "socathie/pre-trained-mobilenetv2-1000-classes-1-epoch", "kernel_id": "10954761"}, {"ref": "feiwofeifeixiaowo/gcspath", "kernel_id": "10929632"}, {"ref": "andypenrose/pytorch-training-inference-efficientnet-b4", "kernel_id": "10976038"}, {"ref": "rhtsingh/pytorch-training-inference-efficientnet-baseline", "kernel_id": "10948093"}, {"ref": "rhtsingh/pytorch-landmark-or-non-landmark-identification", "kernel_id": "10995000"}, {"ref": "anshuls235/google-landmark-recognition-eda", "kernel_id": "10945488"}, {"ref": "holfyuen/minimalist-guide-to-reading-data-in-any-format", "kernel_id": "10813695"}, {"ref": "mohitduklan/landmark-recognition-2020-eda", "kernel_id": "10949098"}, {"ref": "kaushal2896/landmark-recognition-eda", "kernel_id": "10946373"}, {"ref": "jameschapman19/pytorch-vae", "kernel_id": "10982567"}, {"ref": "trungthanhnguyen0502/eda-base-on-landmark-type-classify-to-eda", "kernel_id": "10968134"}, {"ref": "akensert/glrec-prepare-dataframes", "kernel_id": "10951847"}, {"ref": "akensert/glrec-resnet50-arcface-tf2-2", "kernel_id": "10960768"}, {"ref": "renjithrrkj/land-mark-recognition-with-xception-network", "kernel_id": "10979760"}, {"ref": "validmodel/resize-512", "kernel_id": "10950278"}, {"ref": "redwankarimsony/google-landmark-recognition-2020-extensive-eda", "kernel_id": "10948343"}, {"ref": "redwankarimsony/google-landmark-recognition-2020-starter-code", "kernel_id": "10953298"}, {"ref": "chirag9073/landmark-recognition-exploratory-data-analysis", "kernel_id": "10948127"}, {"ref": "namanj27/eda-google-landmark-recognition-2020", "kernel_id": "10951268"}, {"ref": "rohitsingh9990/glr-eda-all-you-need-to-know", "kernel_id": "10948717"}, {"ref": "camaskew/host-baseline-example", "kernel_id": "10976412"}, {"ref": "aadhavvignesh/google-landmark-recognition-eda", "kernel_id": "10946960"}, {"ref": "shivam17818/image-resizer-for-pytorch-training", "kernel_id": "10569434"}, {"ref": "nischaydnk/landmark-recognition-2020-eda-resnet", "kernel_id": "10957894"}, {"ref": "jeffreybraun/visualizing-landmarks-more-eda", "kernel_id": "10956412"}, {"ref": "koheist/simple-eda", "kernel_id": "10952147"}, {"ref": "jojoman/landmark-recognition", "kernel_id": "11803043"}, {"ref": "sachin/arcface-train-head", "kernel_id": "11764377"}, {"ref": "sachin/arcface-initialise", "kernel_id": "11873157"}, {"ref": "chandanverma/baseline-landmark-recognition-0-4832", "kernel_id": "11299772"}, {"ref": "markpeng/all-pretrained-delg-v1-global", "kernel_id": "11947212"}, {"ref": "steubk/cosine-similarity-three-ways", "kernel_id": "11600517"}, {"ref": "steubk/landmark-with-wikipedia-category-visualization", "kernel_id": "11576677"}, {"ref": "adnaiksachin25/some-facts-about-data", "kernel_id": "11251276"}, {"ref": "adnaiksachin25/modeling-glr-data", "kernel_id": "11443806"}, {"ref": "tolgadincer/glrec-images-in-the-form-of-long-strips", "kernel_id": "11004328"}, {"ref": "pevogam/glr-resnet-efficientnet-on-4cpu-1gpu-1tpu-8tpu", "kernel_id": "11975361"}, {"ref": "qiubit/watch-out-for-distractors-in-test-dataset", "kernel_id": "11262969"}, {"ref": "hiteshsom/google-landmark-recognition", "kernel_id": "11360302"}, {"ref": "paulorzp/baseline-landmark-recognition-lb-0-48", "kernel_id": "11289693"}, {"ref": "kamaljain77/google-landmark-recognition-2020-eda", "kernel_id": "11771649"}, {"ref": "srispirit/eda-notebook-google-landmark-recognition-2020", "kernel_id": "11377830"}, {"ref": "rsmits/tf-keras-effnet-b2-non-landmark-removal", "kernel_id": "11261929"}, {"ref": "kushaj/fastai-dataloader", "kernel_id": "11446600"}, {"ref": "tchristie/landmark-recognition-2020-training", "kernel_id": "11245494"}, {"ref": "tchristie/landmark-recognition-2020-inference", "kernel_id": "11660885"}, {"ref": "pawan28a95/resizing-the-image-to-20", "kernel_id": "11054627"}, {"ref": "jkreddy/kaggle-github-integration-to-work-on-large-dataset", "kernel_id": "11822766"}, {"ref": "ragnar123/efficientnetb3-data-pipeline-and-model", "kernel_id": "11541616"}, {"ref": "ragnar123/baseline-dnn-with-delg-global-embeddings", "kernel_id": "11410465"}, {"ref": "maheswarareddyp/m-google-pic-identification", "kernel_id": "11149455"}, {"ref": "ameypatil/global-average-precision-function", "kernel_id": "11461502"}, {"ref": "ihelon/global-average-precision-metric", "kernel_id": "11086938"}, {"ref": "hongym7/data-analysis-and-base-model", "kernel_id": "11455985"}, {"ref": "lezwon/landmark-detection", "kernel_id": "11655693"}, {"ref": "mohammedessam97/organizer-s-code-submission", "kernel_id": "11067594"}, {"ref": "kalyanpichuka/google-landmark-recognition-baseline-lb-0-4850", "kernel_id": "11400293"}, {"ref": "santoshd3/google-landmark-recognition-glr", "kernel_id": "11320015"}, {"ref": "yingpengchen/pytorch-resnet-baseline", "kernel_id": "11250342"}, {"ref": "syxuming/keras-predict", "kernel_id": "11760855"}, {"ref": "sahithyaswaminathan/initial-eda-on-landmark-data", "kernel_id": "11360588"}, {"ref": "sahithyaswaminathan/efficientnet-baseline-landmark", "kernel_id": "11693130"}, {"ref": "ghaiyur/baseline-test-vcv1", "kernel_id": "11279830"}, {"ref": "mightyrains/imagehashing-small-yet-diverse-training-set", "kernel_id": "11084240"}, {"ref": "akashsuper2000/google-landmark-recognition-baseline", "kernel_id": "11447997"}, {"ref": "akashsuper2000/baseline-landmark-recognition-lb-0-48", "kernel_id": "11345236"}, {"ref": "akashsuper2000/model-creator", "kernel_id": "11012127"}, {"ref": "akashsuper2000/recognition-kernel", "kernel_id": "11091435"}, {"ref": "akashsuper2000/google-landmark-prediction-eda", "kernel_id": "11837984"}, {"ref": "akashsuper2000/organizer-s-code-submission", "kernel_id": "11837994"}, {"ref": "akashsuper2000/organizer-s-code-submission-2753f6", "kernel_id": "11838069"}, {"ref": "akashsuper2000/organizer-s-code-submission-final", "kernel_id": "11999070"}, {"ref": "ks2019/stratified-tfrecords-training-pipeline", "kernel_id": "11433495"}, {"ref": "rsinda/baseline-submission-landmark", "kernel_id": "11185339"}, {"ref": "jagdmir/google-landmark-prediction-2020", "kernel_id": "11244709"}, {"ref": "rahulsingh731/landmark-recognition-2020", "kernel_id": "11067451"}, {"ref": "chankhavu/export-gldv2-full-test-set-to-your-own-gcs-bucket", "kernel_id": "11531063"}, {"ref": "chankhavu/glob-effb6-e48-rn152-e40-det-frcnn-ss-orig", "kernel_id": "11995577"}, {"ref": "chankhavu/save-rn152v2-gem-arcface-all-loc-ep18-glob-ep40", "kernel_id": "11996798"}, {"ref": "chankhavu/keras-layers-arcface-cosface-adacos", "kernel_id": "11702840"}, {"ref": "ramjib/landmark-recognition-eda", "kernel_id": "11249113"}, {"ref": "soham1024/google-landmark-recognition-eda", "kernel_id": "11004067"}, {"ref": "azaemon/eda-data-augmentation-for-beginners", "kernel_id": "11118934"}, {"ref": "azaemon/effnet-with-tf-records", "kernel_id": "11310288"}, {"ref": "anirbansen3027/google-landmark-recognition-2020-eda", "kernel_id": "11329833"}, {"ref": "soumochatterjee/landmark-detection-tpu-pytorchlightning", "kernel_id": "11631980"}, {"ref": "soumochatterjee/landmark-detection-gpu-pytorchlightning", "kernel_id": "11658944"}, {"ref": "andyden/recognize-landmarks-with-efficientnet-on-tpus", "kernel_id": "11346919"}, {"ref": "kbambardekar/visualising-landmarks", "kernel_id": "11026958"}, {"ref": "zaccheroni/pytorch-efficientnet-arcface-training", "kernel_id": "11875525"}, {"ref": "zaccheroni/pytorch-efficientnet-arcface-submission", "kernel_id": "11875310"}, {"ref": "amanacden/baseline-ransac-hyperparameter-tuning-1", "kernel_id": "11732895"}, {"ref": "bixiaopeng/recognition-kernel", "kernel_id": "11097061"}, {"ref": "rajliyanth/google-recog", "kernel_id": "11668133"}, {"ref": "sumon123/google-landmark-inference-2", "kernel_id": "11422799"}, {"ref": "giorgosanastasakos/1-read-landmark-recognition-train-test-validation", "kernel_id": "11453349"}, {"ref": "giorgosanastasakos/vgg16-and-train-generator-function-in-r", "kernel_id": "11481590"}, {"ref": "pansofluck/google-landmark-recognition-2020", "kernel_id": "11268223"}, {"ref": "dky7376/code-for-generating-tfrecords-files", "kernel_id": "11269275"}, {"ref": "dky7376/glr-eda-basic-model", "kernel_id": "11365852"}, {"ref": "ljh415/eda-googlelandmark", "kernel_id": "11882532"}, {"ref": "josealways123/efnet-global-delg-local-34-place-solution", "kernel_id": "11592683"}, {"ref": "usmannkhan/submission-error-test", "kernel_id": "11260624"}, {"ref": "igorsondors/base-glr-2020-to-submit", "kernel_id": "11894428"}, {"ref": "animesh2099/google-landmark-recognition-2020", "kernel_id": "11312432"}, {"ref": "nhkhang/download-dataset-to-google-colab", "kernel_id": "11096041"}, {"ref": "chenbaoying/private-efficientnet-submission", "kernel_id": "11494904"}, {"ref": "chenbaoying/pytorch-efficientnet-submission", "kernel_id": "11477775"}, {"ref": "pussymipt/catalyst-image-recognition", "kernel_id": "11190352"}, {"ref": "tangshuyun/efficientnetb6-and-b7", "kernel_id": "11841990"}, {"ref": "tangshuyun/lb-0-54-effnetb6b7-global-feature", "kernel_id": "11883822"}, {"ref": "tbourton/resnet50-tl", "kernel_id": "11330770"}, {"ref": "raufyagfarov/efficientnet-inference", "kernel_id": "11413746"}, {"ref": "dimakyn/landmark-tpu", "kernel_id": "11056892"}, {"ref": "dimakyn/pre-trained-efficientnet", "kernel_id": "11079237"}, {"ref": "dimakyn/landmark-recognition-2020-keras", "kernel_id": "11027700"}, {"ref": "xinruizhan/ccc-data-set-generate", "kernel_id": "11203908"}, {"ref": "chumajin/eda-for-biginner-updated-to-english-ver", "kernel_id": "11051356"}, {"ref": "chumajin/day1-of-resnet18-train-inference-test-v2", "kernel_id": "11985516"}, {"ref": "chumajin/day2-of-resnet18-train-inference-test", "kernel_id": "11932407"}, {"ref": "chumajin/resnet18-train-inference-test", "kernel_id": "11875574"}, {"ref": "elvinagammed/simple-keras-pretrained-eff-top", "kernel_id": "11610374"}, {"ref": "elvinagammed/resnet50-with-tpu-top", "kernel_id": "11618877"}, {"ref": "nuka137/pytorch-efficientnet", "kernel_id": "11489833"}, {"ref": "alifrahman/successful-landmark-recognition-submission", "kernel_id": "11766184"}, {"ref": "alifrahman/landmark-recognition2020-google", "kernel_id": "11771291"}, {"ref": "alifrahman/landmark-prediction-2020-top-35", "kernel_id": "11838005"}, {"ref": "alifrahman/exploratory-data-analysis-eda-for-beginners", "kernel_id": "11818579"}, {"ref": "alifrahman/google-landmark-prediction-eda", "kernel_id": "11834794"}, {"ref": "farji402/google-landmark-rec-eda", "kernel_id": "11315685"}, {"ref": "mathiasgudiksen/mini-project", "kernel_id": "11829190"}, {"ref": "haashaatif/google-landmark-recognition", "kernel_id": "11387820"}, {"ref": "jagadish13/efficientnetb0-submission-training-test", "kernel_id": "11692481"}, {"ref": "thanisornsr/google-landmark-recognition-2020-cnn", "kernel_id": "11176195"}, {"ref": "pushpakbhoge/data-preperation-using-tensorflow", "kernel_id": "11105509"}, {"ref": "shailshah7/landmark-recognition", "kernel_id": "11082327"}, {"ref": "tomonorisasaki/glr2020-eda", "kernel_id": "11006014"}, {"ref": "workml/inception-fold-4-145-adam-ipynb", "kernel_id": "11971544"}, {"ref": "chandrimad31/google-landmark-recognition-tf-keras-effnet-b2", "kernel_id": "11450432"}, {"ref": "fuyixing/starter-keras-tuner-efficientnet-tpu", "kernel_id": "11244489"}, {"ref": "heeraldedhia/google-landmark-recognition-only-eda", "kernel_id": "11841685"}, {"ref": "yueqiangqin/glr2-final-sub", "kernel_id": "11971577"}, {"ref": "yueqiangqin/glr2-make-tfrecord-512-order-0", "kernel_id": "11426788"}, {"ref": "siddamravi/notebook7cdbbd9261", "kernel_id": "11377868"}, {"ref": "cemsina/google-landmarks-feature-extraction", "kernel_id": "11019705"}, {"ref": "chriszg/google-recognition", "kernel_id": "11549103"}, {"ref": "sassanowssia/eda-google-landmarks-class-distribution", "kernel_id": "11513831"}, {"ref": "ephell/glr-for-beginners-fetch-the-data-basic-eda", "kernel_id": "11331032"}, {"ref": "siripurapusrinivas08/google-land-mark-recognigation", "kernel_id": "11668157"}, {"ref": "sanjaydsb/landmark-recognition-using-efficientnet-b1", "kernel_id": "11509310"}, {"ref": "sanjaydsb/efficientnets-in-pytorch-using-tpus-and-gpus", "kernel_id": "11604069"}, {"ref": "meetronny/baseline-landmark-recognition-lb-0-48", "kernel_id": "11430876"}, {"ref": "sboy303/google-landmark", "kernel_id": "11383718"}, {"ref": "sboy303/google-organizer-s-code-submission", "kernel_id": "11751513"}, {"ref": "penchalaiah123/how-to-implement-baseline-ml-algorithm", "kernel_id": "11625990"}, {"ref": "penchalaiah123/landmark-recognition-exploratory-data-analysis", "kernel_id": "11592492"}, {"ref": "penchalaiah123/code-submission", "kernel_id": "11605906"}, {"ref": "penchalaiah123/pre-trained-vgg16-resnet50-mobilenet-models", "kernel_id": "11644928"}, {"ref": "frederikbjensen/notebook-for-google-landmark-recognition-r-vgis20", "kernel_id": "11649812"}, {"ref": "sebafalk/research-in-vgis-mini-project", "kernel_id": "11753285"}, {"ref": "oliverhansen/oliver-hansen-notebook", "kernel_id": "11819471"}, {"ref": "drabchuk/pytorch-densenet", "kernel_id": "12012076"}, {"ref": "boliu0/landmark-recognition-2020-third-place-submission", "kernel_id": "12217180"}, {"ref": "imeintanis/landmark-recognition-2020-shake-up-report", "kernel_id": "12081161"}, {"ref": "sai11fkaneko/converting-tf-slim-resnet-to-tf-keras", "kernel_id": "12071560"}, {"ref": "dharamendra13/google-landmark-retrieval-sample-dataset", "kernel_id": "12038994"}, {"ref": "slin146/pytorch-training-inference-efficientnet-b-820b88", "kernel_id": "12404988"}, {"ref": "pranithchowdary/google-landmark-recognition-2020", "kernel_id": "12349537"}, {"ref": "mathiaslynge/google-landmark-recognition-2020", "kernel_id": "12128687"}, {"ref": "haashaatif/fork-of-google-landmark-recognition", "kernel_id": "12759157"}, {"ref": "hemantalenka/tf-keras-effnet-b2-non-landmark-removal", "kernel_id": "12604891"}, {"ref": "ashishyadav15/notebook3d5539facf", "kernel_id": "12798745"}, {"ref": "chendaryen/landmark-recognition-with-arcface", "kernel_id": "12347348"}, {"ref": "mikkeljeppesen/vgis9-landmark-recognition-2020", "kernel_id": "12321515"}, {"ref": "moaazallahham/landmark-recognition-on-top-100-classes", "kernel_id": "12322240"}, {"ref": "moaazallahham/mini-project-notebook", "kernel_id": "12233501"}, {"ref": "moaazallahham/vgis-mini-project", "kernel_id": "12662393"}, {"ref": "martinjepsen/rvgis-mini-project", "kernel_id": "12126224"}, {"ref": "michaelbidstrup/google-landmark-mb-vgis20", "kernel_id": "12821350"}, {"ref": "drawntogetha/miniproject-another-attempt", "kernel_id": "12237402"}, {"ref": "mrtonhavasi/resmp-mhmh", "kernel_id": "12165431"}, {"ref": "nikoladyulgerov/labelling-famous-landmarks-eda", "kernel_id": "12789216"}, {"ref": "yinshanwang/baseline-landmark-recognition-lb-0-48", "kernel_id": "13200808"}, {"ref": "samyuen1012/comp4471", "kernel_id": "13308477"}, {"ref": "johnjdavisiv/jjd-fork-of-mlrc-landmark-recognition", "kernel_id": "14094094"}, {"ref": "nikoladyulgerov/labelling-famous-landmarks-data-cleaning", "kernel_id": "14756289"}, {"ref": "snehaaradhey/google-landmark-classification", "kernel_id": "15907947"}, {"ref": "ruhong/keras-layers-arcface-cosface-adacos", "kernel_id": "16103787"}, {"ref": "nirav1929/notebookd94bd5e7bb", "kernel_id": "16506718"}, {"ref": "isaneawais/colourize", "kernel_id": "16057467"}, {"ref": "frankenstein1929/google-instance", "kernel_id": "16517055"}, {"ref": "kanyuanhao/mobilenetv2-fine-tune-of-howard-landmark-by-dir", "kernel_id": "17870439"}, {"ref": "fanbyprinciple/loading-data-for-landmark-detection", "kernel_id": "18115361"}, {"ref": "kanyuanhao/final-mobilenetv2-google-landmark-howard", "kernel_id": "18125056"}, {"ref": "msufyanashraf/efficient-net", "kernel_id": "19401120"}, {"ref": "zahidbooni/bottle-classification-for-reverse-vending-machine", "kernel_id": "20367530"}, {"ref": "zacharyluscher/keras-layers-arcface-cosface-adacos", "kernel_id": "20225887"}, {"ref": "minhhngchong/nckh-2021", "kernel_id": "20279110"}, {"ref": "bigwin94/vgis9-ncj", "kernel_id": "20857745"}, {"ref": "zhiyuanzhang15/google-landmark-sequential", "kernel_id": "21872507"}, {"ref": "zhiyuanzhang15/final-mobilenetv2-google-landmark-howard", "kernel_id": "21701662"}, {"ref": "divyanuhan/project", "kernel_id": "22706603"}, {"ref": "divyanuhan/mobilenetv2-google-landmark-howard", "kernel_id": "22727002"}, {"ref": "aniket286/project", "kernel_id": "22706783"}, {"ref": "aniket286/mobilenetv2-google-landmark-howard", "kernel_id": "22728415"}, {"ref": "hunim2/notebookf5d97e9642", "kernel_id": "23397341"}, {"ref": "stpeteishii/landmarks-foreground-extraction-opencv", "kernel_id": "24753206"}, {"ref": "stpeteishii/landmark-test-image-foreground-extraction", "kernel_id": "24785057"}, {"ref": "mihirchhiber/pytorch-efficientnet-arcface-training", "kernel_id": "26326113"}, {"ref": "erichhenrique/gldv2-2020-efficientnet-and-delf-reranking-tf", "kernel_id": "26063681"}, {"ref": "lienquantteam/landmark-2020-lp", "kernel_id": "26084762"}, {"ref": "qiruicao/cpsc-4830-final-landmark-recognition", "kernel_id": "26038730"}, {"ref": "qiruicao/cpsc-project-landmark-classification", "kernel_id": "26091096"}, {"ref": "shoroouqalshal/google-landmark-recognition", "kernel_id": "26307275"}, {"ref": "akshatpathak/work-in-progress", "kernel_id": "27871387"}, {"ref": "arppitmadankar/notebook1a59851b2e", "kernel_id": "27477507"}, {"ref": "dhruvvig1166/notebookfb96261ed6", "kernel_id": "27498490"}, {"ref": "dhruvvig1166/notebookcd685e0f59", "kernel_id": "27482310"}, {"ref": "whangsteven/cpsc-4830-a2-group", "kernel_id": "29371306"}, {"ref": "mohit020888/miniproject-another-attempt", "kernel_id": "29377356"}, {"ref": "kanupriyavinayak/resnet50-landmark-recognition", "kernel_id": "29496921"}, {"ref": "harpreetrandhawa08/landmark-recognition-assignment-2", "kernel_id": "29497417"}, {"ref": "gdoong/keras-layers-arcface-cosface-adacos", "kernel_id": "30972879"}, {"ref": "tereka/detectstablediffusionimages", "kernel_id": "31171881"}, {"ref": "ktgiahieu/glr2021-very-simple-baseline", "kernel_id": "31142734"}, {"ref": "ktgiahieu/glr2021-create-tfrecords", "kernel_id": "31133903"}, {"ref": "antonkaiser/dl-final-project-landmark-recognition-2020", "kernel_id": "31659708"}, {"ref": "grantyeh/glrec-resnet50-arcface-tf2-2", "kernel_id": "37987838"}, {"ref": "panizojaghi/location", "kernel_id": "37090623"}, {"ref": "zacharyharpaz/google-landmark-cnn", "kernel_id": "38556007"}, {"ref": "amitabhpriyadarshi/google-landmark-recognition-2020", "kernel_id": "38230066"}, {"ref": "namantuli/delf-google-lankdmark-submission", "kernel_id": "42603740"}, {"ref": "cedrikewers/landmarkrecognition", "kernel_id": "57407638"}, {"ref": "vuhoangnhatanh/landmark-or-non-landmark-identification", "kernel_id": "82643929"}, {"ref": "vuhoangnhatanh/efficientnet-delf-rank", "kernel_id": "82619632"}, {"ref": "anweshaaa25/pre-trained-mobilenetv2", "kernel_id": "86450038"}, {"ref": "bisheralsaleh/fine-tune-yolov8-on-google-landmark-dataset", "kernel_id": "92894426"}]}
{"competition_id": "19233", "kernels": [{"ref": "philculliton/landmark-retrieval-2020-shared-scoring-script", "kernel_id": "10526565"}, {"ref": "loveall/creating-submission-from-your-own-model", "kernel_id": "10637465"}, {"ref": "pukkinming/google-landmark-retrieval-2020-eda", "kernel_id": "10442497"}, {"ref": "chandanverma/baseline-submission-retrieval-2020", "kernel_id": "10734980"}, {"ref": "chandanverma/landmark-retrieval-efficientnet", "kernel_id": "10905505"}, {"ref": "chandanverma/resnet-101cosface-softmax", "kernel_id": "10964044"}, {"ref": "krishnaharish/baseline-model-893376", "kernel_id": "10554217"}, {"ref": "skylord/what-is-eth-eda-on-classes-using-plotly", "kernel_id": "10541263"}, {"ref": "skylord/delf-matching-images-retrievals-using-tf-hub", "kernel_id": "10575139"}, {"ref": "sudeepshouche/map-calculation-use", "kernel_id": "10443014"}, {"ref": "sudeepshouche/identify-landmark-name-from-landmark-id", "kernel_id": "10443233"}, {"ref": "qiubit/baseline-model-evaluation", "kernel_id": "10764519"}, {"ref": "mayukh18/creating-submission-from-your-own-model", "kernel_id": "10558002"}, {"ref": "mhetrerajat/glr-2020-eda-wip", "kernel_id": "10477670"}, {"ref": "sandy1112/create-and-train-minigooglenet-from-scratch", "kernel_id": "10472206"}, {"ref": "sandy1112/simple-augmentations-for-minority-classes", "kernel_id": "10434146"}, {"ref": "sandy1112/landmark2020-resnet50-cyclicallr-starter", "kernel_id": "10436237"}, {"ref": "sandy1112/create-and-train-resnet50-from-scratch", "kernel_id": "10446297"}, {"ref": "suruili/arcface-gem-train-on-tpu", "kernel_id": "10703351"}, {"ref": "reflexion/google-landmark-retrieval-submit-keras-model", "kernel_id": "10598634"}, {"ref": "msafi04/simple-image-retrieval-autoencoder-tpu", "kernel_id": "10737147"}, {"ref": "kvsnoufal/triplet-loss-cnn-model-knn-first-attempt", "kernel_id": "10466413"}, {"ref": "seriousran/google-landmark-retrieval-2020-eda", "kernel_id": "10426813"}, {"ref": "kamalnaithani/googlelandmarkretrieval2020", "kernel_id": "10440848"}, {"ref": "lx2018/kernel3f20543330", "kernel_id": "10843395"}, {"ref": "miklgr500/fast-image-resize-224x224", "kernel_id": "10471579"}, {"ref": "shebinscaria/eda-google-landmark-identification", "kernel_id": "10445303"}, {"ref": "ihelon/google-landmark-retrieval-2020-eda", "kernel_id": "10924906"}, {"ref": "vidhyasankari/google-landmark-retrieval-eda-dev", "kernel_id": "10805858"}, {"ref": "pragyanbo/landmark-exploratory-analysis-and-pre-processing", "kernel_id": "10489567"}, {"ref": "pragyanbo/xceptionnet-model-for-landmark-recognition", "kernel_id": "10503187"}, {"ref": "amarmrf/fastai-for-image-retrieval", "kernel_id": "10810127"}, {"ref": "muhakabartay/glr2020-google-landmark-retrieval-eda-full", "kernel_id": "10694041"}, {"ref": "wuliaokaola/glr2020-metric", "kernel_id": "10862190"}, {"ref": "akashsuper2000/landmark-retrieval-baseline-model", "kernel_id": "10717559"}, {"ref": "vstepanenko/batch-image-viewer", "kernel_id": "10536089"}, {"ref": "akensert/glret-triplet-semi-hard-loss-with-distributed-tf", "kernel_id": "10888296"}, {"ref": "akensert/glret-cosface-with-distributed-tf", "kernel_id": "10881060"}, {"ref": "mahmudds/glr-2020-eda", "kernel_id": "10687097"}, {"ref": "saichandrareddy/landmarkretrival-eda", "kernel_id": "10428084"}, {"ref": "mattbast/google-landmark-retrieval-triplet-loss", "kernel_id": "10778319"}, {"ref": "maschasap/exploratory-data-analysis-inference", "kernel_id": "10432463"}, {"ref": "chandramanaha/google-landmark-retrieval-vgg16-and-faiss", "kernel_id": "10472577"}, {"ref": "soham1024/google-landmark-retrieval-data-exploration-eda", "kernel_id": "10429069"}, {"ref": "leoisleo1/baseline-model", "kernel_id": "10445418"}, {"ref": "anirbansen3027/google-landmark-retrieval-2020-eda", "kernel_id": "10505041"}, {"ref": "kakaru/kernel402e90957d", "kernel_id": "10718563"}, {"ref": "vineeth1999/baseline-model-0-271", "kernel_id": "10777451"}, {"ref": "iammanpreet/little-fun-with-google", "kernel_id": "10430183"}, {"ref": "ajinkyaabhang/google-landmark-retrieval-eda", "kernel_id": "10441719"}, {"ref": "reighns/visualizing-convolution-filters", "kernel_id": "10464058"}, {"ref": "micheomaano/creating-submission-from-your-own-model", "kernel_id": "10639277"}, {"ref": "tfukuda675/google-landmark-eda", "kernel_id": "10500312"}, {"ref": "subbhashit/google-landmark-retrival-vgg19", "kernel_id": "10465840"}, {"ref": "waelkh/landmark-image-retrieval-test-your-model", "kernel_id": "10510772"}, {"ref": "waelkh/landmark2020-delf-model-submission-code", "kernel_id": "10452949"}, {"ref": "nayuts/landmark-resnet50-wip", "kernel_id": "10505330"}, {"ref": "shivyshiv/exploratory-eda-for-google-landmark-retrieval-202", "kernel_id": "10429393"}, {"ref": "xinruizhan/google-landmark", "kernel_id": "10807102"}, {"ref": "chumajin/eda-just-for-viewing-dataset", "kernel_id": "10468847"}, {"ref": "camaskew/baseline-submission", "kernel_id": "10428561"}, {"ref": "digvijayyadav/image-retrieval-eda", "kernel_id": "10499753"}, {"ref": "sz1999/kernel687c83a67d", "kernel_id": "10546406"}, {"ref": "derinformatiker/landmark-retrieval-all-paths", "kernel_id": "10430807"}, {"ref": "moonilshin/first-submission", "kernel_id": "10591311"}, {"ref": "keikaynet/google-landmark-retrieval-2020-eda", "kernel_id": "10486425"}, {"ref": "koheist/eda-overview-including", "kernel_id": "10428697"}, {"ref": "mayankkrawat/landmark-detection", "kernel_id": "10478056"}, {"ref": "shumpeiabe/show-image-by-landmark-id", "kernel_id": "10529463"}, {"ref": "shumpeiabe/show-image-and-landmark-id", "kernel_id": "10521448"}, {"ref": "chandanverma/convert-pytorch-model-to-tf-2-2-submission-format", "kernel_id": "11093858"}, {"ref": "chandanverma/pytorch-converted-tf-model", "kernel_id": "11091931"}, {"ref": "qiubit/comparison-0-271-vs-0-277", "kernel_id": "11191064"}, {"ref": "qiubit/fetching-weights-from-baseline-model", "kernel_id": "11247350"}, {"ref": "mayukh18/retrieval-speedup-with-faiss", "kernel_id": "11114343"}, {"ref": "marat102/main-0806", "kernel_id": "11123084"}, {"ref": "akashsuper2000/enet-on-cosface-with-distributed-tf", "kernel_id": "11047240"}, {"ref": "akashsuper2000/main-0806", "kernel_id": "11164899"}, {"ref": "chankhavu/save-rn152v2-gem-arcface-all-loc-ep18-glob-ep40", "kernel_id": "11996798"}, {"ref": "curtisto/notebookd25389959b", "kernel_id": "11377503"}, {"ref": "mattbast/google-landmarks-2020-create-a-tfrecord-dataset", "kernel_id": "11032423"}, {"ref": "nvnnghia/main-0806", "kernel_id": "11123191"}, {"ref": "soham1024/google-landmark-recognition-eda", "kernel_id": "11004067"}, {"ref": "prateekagnihotri/lr-aug-add", "kernel_id": "11174333"}, {"ref": "prateekagnihotri/change-image-size-to-get-0-281-lb", "kernel_id": "11234797"}, {"ref": "doncalculator/importing-the-weights-from-the-baseline-into-keras", "kernel_id": "11251521"}, {"ref": "jumpingmandt/see-the-jpg-images-in-different-folders", "kernel_id": "11094345"}, {"ref": "yakumokunimoto/notebook3eb84c5ce9", "kernel_id": "11208207"}, {"ref": "dodophoton/kernel510cd72b1e", "kernel_id": "11064761"}, {"ref": "s0ethura/creating-submission-from-your-own-model", "kernel_id": "11910250"}, {"ref": "telperion/google-landmark-retrieval-2020", "kernel_id": "31355893"}, {"ref": "ahlemammar/triplet-loss-cnn-model-knn-first-attempt", "kernel_id": "40195560"}, {"ref": "tejaswiiii/create-and-train-resnet50-from-scratch", "kernel_id": "50684602"}]}
{"competition_id": "19236", "kernels": []}
{"competition_id": "19237", "kernels": []}
{"competition_id": "19244", "kernels": []}
{"competition_id": "19262", "kernels": []}
{"competition_id": "19263", "kernels": []}
{"competition_id": "19265", "kernels": []}
{"competition_id": "19266", "kernels": []}
{"competition_id": "19272", "kernels": [{"ref": "valviv/starter-notebook-v2", "kernel_id": "8545514"}, {"ref": "marievachelard/starter-notebook", "kernel_id": "8368686"}]}
{"competition_id": "19277", "kernels": []}
{"competition_id": "19281", "kernels": [{"ref": "mikaelhuss/sample-code", "kernel_id": "8250514"}, {"ref": "olgabelitskaya/plotting-exercises-3", "kernel_id": "9113507"}, {"ref": "olgabelitskaya/boston-housing-prices", "kernel_id": "9107786"}]}
{"competition_id": "19282", "kernels": [{"ref": "sp1667/lstm-with-data-cleaning", "kernel_id": "8225531"}]}
{"competition_id": "19284", "kernels": []}
{"competition_id": "19285", "kernels": []}
{"competition_id": "19286", "kernels": []}
{"competition_id": "19300", "kernels": []}
{"competition_id": "19302", "kernels": []}
{"competition_id": "19307", "kernels": []}
{"competition_id": "19312", "kernels": [{"ref": "ucfaibot/core-sp20-time-series", "kernel_id": "7947278"}]}
{"competition_id": "19321", "kernels": []}
{"competition_id": "19322", "kernels": [{"ref": "illarionov/baseline", "kernel_id": "8256617"}, {"ref": "mehdihashemidehkordi/text-classification-whit-naive-bayes", "kernel_id": "51391128"}]}
{"competition_id": "19323", "kernels": []}
{"competition_id": "19333", "kernels": [{"ref": "labintsevai/keras-retinanet-submission", "kernel_id": "8270051"}]}
{"competition_id": "19337", "kernels": []}
{"competition_id": "19341", "kernels": []}
{"competition_id": "19342", "kernels": []}
{"competition_id": "19343", "kernels": []}
{"competition_id": "19344", "kernels": []}
{"competition_id": "19345", "kernels": []}
{"competition_id": "19358", "kernels": []}
{"competition_id": "19368", "kernels": [{"ref": "thduik/kernel536836825c", "kernel_id": "8360283"}]}
{"competition_id": "19375", "kernels": []}
{"competition_id": "19376", "kernels": [{"ref": "kozlowladimir/baseline", "kernel_id": "8476388"}, {"ref": "goryachkinakseniya/homework-3", "kernel_id": "8436147"}, {"ref": "goryachkinakseniya/ml2020-hw4", "kernel_id": "8961298"}, {"ref": "antoneshiev/eshievanton", "kernel_id": "8708794"}, {"ref": "markkarapetyants/kernel57cee63038", "kernel_id": "8699960"}, {"ref": "vishnevskayanastya/ml2020-hw4", "kernel_id": "8973083"}, {"ref": "vishnevskayanastya/visheviynotebook", "kernel_id": "8561787"}, {"ref": "nikitinanv/ml2020-hw4", "kernel_id": "8747374"}, {"ref": "pinkflow/ml2020-hw4", "kernel_id": "8958997"}, {"ref": "svetlayanaz/home3", "kernel_id": "8699940"}, {"ref": "svetlayanaz/ml2020-hw4-nazimova", "kernel_id": "8989267"}, {"ref": "alexeypotashnikov/ml2020-hw4", "kernel_id": "8958718"}, {"ref": "alexeypotashnikov/hw-task3", "kernel_id": "8593463"}, {"ref": "lisa356/ml2020-hw4", "kernel_id": "8781744"}, {"ref": "thepapug/ilya-potashnikov-task3", "kernel_id": "8594181"}, {"ref": "svetlanaabekker/ml2020-hw4", "kernel_id": "8608929"}, {"ref": "svetlanaabekker/kernel695f35ba44", "kernel_id": "8960854"}, {"ref": "antoneshiev/ml2020-hw4", "kernel_id": "9004269"}, {"ref": "markkarapetyants/kernel454ebe8367", "kernel_id": "9005071"}, {"ref": "markkarapetyants/ml2020-hw4-karapetyants", "kernel_id": "9012428"}, {"ref": "thepapug/ml2020-hw4", "kernel_id": "9003028"}, {"ref": "veronikazhu/ml2020-hw4-zhukova", "kernel_id": "9004628"}, {"ref": "antonkabaev/up-mod", "kernel_id": "27494803"}]}
{"competition_id": "19377", "kernels": []}
{"competition_id": "19385", "kernels": []}
{"competition_id": "19386", "kernels": [{"ref": "abakumoviv/example", "kernel_id": "8312925"}]}
{"competition_id": "19390", "kernels": [{"ref": "abakumoviv/kernel799671801b", "kernel_id": "8359341"}]}
{"competition_id": "19391", "kernels": [{"ref": "neuraluniversity/a-a-kaggle", "kernel_id": "8319267"}, {"ref": "annbengardt/notebook2a6588543a", "kernel_id": "52447331"}]}
{"competition_id": "19395", "kernels": []}
{"competition_id": "19396", "kernels": []}
{"competition_id": "19416", "kernels": []}
{"competition_id": "19419", "kernels": []}
{"competition_id": "19433", "kernels": []}
{"competition_id": "19439", "kernels": []}
{"competition_id": "19444", "kernels": []}
{"competition_id": "19449", "kernels": []}
{"competition_id": "19450", "kernels": [{"ref": "ucfaibot/core-sp20-gans", "kernel_id": "8469435"}]}
{"competition_id": "19453", "kernels": [{"ref": "jijupax/eda-2020-bow-competition", "kernel_id": "8367600"}]}
{"competition_id": "19454", "kernels": []}
{"competition_id": "19460", "kernels": []}
{"competition_id": "19465", "kernels": [{"ref": "hoaf13/hoaf13-ph-n-lo-i-bi-n-b-o-giao-th-ng-v-i-cnn", "kernel_id": "8501064"}, {"ref": "hoilba/cnn-ph-n-lo-i", "kernel_id": "8490343"}, {"ref": "vanhocvp/vanhocvp-recognition-traffic-sign", "kernel_id": "8506143"}, {"ref": "nguyentue/cnn-1-0", "kernel_id": "8505171"}, {"ref": "nguynminhphng/recognizedtrafficsign", "kernel_id": "16949272"}]}
{"competition_id": "19466", "kernels": []}
{"competition_id": "19471", "kernels": []}
{"competition_id": "19474", "kernels": [{"ref": "vincentyong97/efficientdet-til-train", "kernel_id": "9987017"}, {"ref": "soepaingzaw/kaggle-spz", "kernel_id": "9989993"}, {"ref": "e0415698/til2020-pooled-gru-fasttext-combo", "kernel_id": "10038554"}, {"ref": "e0415698/til2020-bert-fastai", "kernel_id": "10040379"}, {"ref": "mengshuoo/kernel3550a85b4a", "kernel_id": "10223542"}, {"ref": "utsav7vanodiya/notebookf89bcbff3f", "kernel_id": "12421440"}]}
{"competition_id": "19479", "kernels": []}
{"competition_id": "19483", "kernels": [{"ref": "profverri/valida-o-e-p-s-processamento", "kernel_id": "9086587"}, {"ref": "profverri/recupera-a-ordem-dos-voos-e-faz-o-split-do-dataset", "kernel_id": "9086567"}, {"ref": "profverri/extra-o-de-caracter-sticas-da-s-rie-temporal", "kernel_id": "9086422"}, {"ref": "profverri/fus-o-dos-dados", "kernel_id": "9086477"}, {"ref": "profverri/treinamento-mantendo-o-vi-s-do-teste", "kernel_id": "9086529"}, {"ref": "profverri/an-lise-e-pr-processamento-de-sensores", "kernel_id": "9033429"}, {"ref": "profverri/extra-o-de-features-da-s-rie-temporal", "kernel_id": "9051565"}]}
{"competition_id": "19512", "kernels": []}
{"competition_id": "19522", "kernels": []}
{"competition_id": "19523", "kernels": [{"ref": "kolosov/nicn2-demo", "kernel_id": "8636093"}, {"ref": "kolosov/isotonic-grader", "kernel_id": "8961687"}]}
{"competition_id": "19524", "kernels": []}
{"competition_id": "19527", "kernels": [{"ref": "hocop1/lightgbm-baseline-eda", "kernel_id": "8434126"}, {"ref": "mohamedsayedamarmsa/bank-marketing", "kernel_id": "95384834"}, {"ref": "elnagar74/bank-marketing-prediction-accuracy-90", "kernel_id": "95903045"}]}
{"competition_id": "19539", "kernels": [{"ref": "andrewcharles/prediction-challenge-sir-country", "kernel_id": "8502938"}, {"ref": "benhamner/no-new-cases-baseline-covid-19-week-1-global", "kernel_id": "8450934"}, {"ref": "benhamner/us-states-visualization", "kernel_id": "8546364"}, {"ref": "yatinece/exp-model-to-state-of-city-or-country-all-data", "kernel_id": "8530342"}, {"ref": "yatinece/exp-model-to-state-of-city-or-country-test-7days", "kernel_id": "8530053"}, {"ref": "yatinece/exp-analysis-for-stages-check-weekly", "kernel_id": "8507830"}, {"ref": "dmollaaliod/covid19w1-generalised-logistic-in-keras", "kernel_id": "8503788"}, {"ref": "gaborfodor/simpleexponentialforecast", "kernel_id": "8586424"}, {"ref": "gaborfodor/covid19-global-forecasting-top-submissions", "kernel_id": "8837329"}, {"ref": "randomforestfanatic/linear-state-fitting", "kernel_id": "8586354"}, {"ref": "wjholst/covid-19-growth-patterns-in-critical-countries", "kernel_id": "8516750"}, {"ref": "mikestubna/covid-19-growth-rates-per-country", "kernel_id": "8499309"}, {"ref": "mikestubna/xgb-tree-approach", "kernel_id": "8577656"}, {"ref": "mikestubna/simple-curve-fitting", "kernel_id": "8581228"}, {"ref": "nxpnsv/tbtb-w4", "kernel_id": "8950160"}, {"ref": "nxpnsv/trds-covid19-gobal-forcasting-week1", "kernel_id": "8584834"}, {"ref": "dott1718/cv19-by-growth-rate-v5-03-per-5", "kernel_id": "8583960"}, {"ref": "dott1718/cv19-by-growth-rate-v5-09", "kernel_id": "8578504"}, {"ref": "pietromarinelli/8th-place-at-day-1-with-lgb-with-few-features", "kernel_id": "8587095"}, {"ref": "pietromarinelli/double-model-public-private", "kernel_id": "8700898"}, {"ref": "ceshine/trajectory-of-cumulative-numbers-of-cases", "kernel_id": "8506705"}, {"ref": "skeller/sarimax-influenza-baseline", "kernel_id": "8522485"}, {"ref": "skeller/sigmoid-per-country", "kernel_id": "8522725"}, {"ref": "skeller/sprawling-cov-nb", "kernel_id": "8500919"}, {"ref": "skeller/less-code-accurate-result-best-predictions", "kernel_id": "8549293"}, {"ref": "skeller/randomforest", "kernel_id": "8547700"}, {"ref": "skeller/covid19-forecast-global-competition", "kernel_id": "8531419"}, {"ref": "skeller/covid19-1-model", "kernel_id": "8578917"}, {"ref": "skeller/covid19-lightgbm", "kernel_id": "8705650"}, {"ref": "skeller/week2fav-notebook", "kernel_id": "8788739"}, {"ref": "liangpang/prediction", "kernel_id": "8554824"}, {"ref": "jaccojurg/cases-per-million-inhabitants-since-1-cpm", "kernel_id": "8529570"}, {"ref": "autokad/kernel128a229670", "kernel_id": "8571134"}, {"ref": "autokad/wg-feature", "kernel_id": "8600338"}, {"ref": "optimo/covid19-enriched-dataset", "kernel_id": "8592078"}, {"ref": "romualdj/missing-us-data", "kernel_id": "8526660"}, {"ref": "lookfwd/sir-pools", "kernel_id": "8520064"}, {"ref": "opanichev/covid19-global-simple-model", "kernel_id": "8482859"}, {"ref": "crained/covid19-global-fastai", "kernel_id": "8511826"}, {"ref": "bguberfain/simple-plot-since-first-case", "kernel_id": "8486938"}, {"ref": "panosc/curves-after-100th-case", "kernel_id": "8491819"}, {"ref": "xscripter/kernel4940423166", "kernel_id": "8518163"}, {"ref": "xscripter/stats-233", "kernel_id": "8549880"}, {"ref": "xscripter/covid19-for-understanding", "kernel_id": "8531025"}, {"ref": "xscripter/rf-mse", "kernel_id": "8534327"}, {"ref": "duvallwh/world-covid-19-compare-curves-graphing-template", "kernel_id": "8502269"}, {"ref": "kambarakun/plotly-animation-plot-on-map-timeseries", "kernel_id": "8490320"}, {"ref": "ashishdutt/covid19-starter", "kernel_id": "8554289"}, {"ref": "yohancheong/covid-19-competition", "kernel_id": "8537868"}, {"ref": "agbozo/covid-19-simple-worldwide-geospatial-analytics", "kernel_id": "8734538"}, {"ref": "adnaiksachin25/glm-poisson-log", "kernel_id": "8532102"}, {"ref": "adnaiksachin25/rpart-tunned", "kernel_id": "8544837"}, {"ref": "uvinetz/covid-week-1-lightgbm-with-shap-explanations", "kernel_id": "8591532"}, {"ref": "super13579/kernel6a5ff64361", "kernel_id": "8509550"}, {"ref": "super13579/covid19-global-forcast-simple-eda-pr-model", "kernel_id": "8473424"}, {"ref": "super13579/covid-19-global-forecast-seir-visualize", "kernel_id": "8554094"}, {"ref": "oristides/covid-19-r", "kernel_id": "8515068"}, {"ref": "srikanthnaveen/covid-data", "kernel_id": "8574747"}, {"ref": "ricardorios/forecasting-world-covid19", "kernel_id": "8549439"}, {"ref": "rajay78/r-forecasting-covid19", "kernel_id": "8568774"}, {"ref": "bhalchandranaik/covid-19-experiments-for-dmb", "kernel_id": "8611738"}, {"ref": "algonell/covid-19-series-poly-fit-w1", "kernel_id": "8508630"}, {"ref": "tamreff3290/use-the-last-day-3-11-s-value", "kernel_id": "8509959"}, {"ref": "tunguz/simple-covid-19-global-eda", "kernel_id": "8479460"}, {"ref": "anjum48/seir-hcd-model", "kernel_id": "8496082"}, {"ref": "pararols/lets-try-xgboost-simple-w-added-features", "kernel_id": "8569377"}, {"ref": "jacksmd12/problem-2-covid19-global-forecasting", "kernel_id": "8877866"}, {"ref": "group16/sigmoid-per-country-no-leakage", "kernel_id": "8489649"}, {"ref": "nsaleille/randomforest-classifiers", "kernel_id": "8566371"}, {"ref": "menglu/kernel7404b6894e", "kernel_id": "8519291"}, {"ref": "aerdem4/covid-19-basic-model-not-leaky", "kernel_id": "8474718"}, {"ref": "rollend/kernel350dc8464f", "kernel_id": "8534042"}, {"ref": "zhengli0817/lroger-covid19-global-forecasting-week-2-lgbm", "kernel_id": "8601137"}, {"ref": "mlanier/forecast-rca-covid", "kernel_id": "8495909"}, {"ref": "corochann/covid-19-effect-of-temperature-humidity", "kernel_id": "8604361"}, {"ref": "corochann/fast-no-new-cases-baseline", "kernel_id": "8534354"}, {"ref": "corochann/covid-19-spread-situation-by-prefecture-in-japan", "kernel_id": "8626131"}, {"ref": "wandabwa2004/covid19-week-1", "kernel_id": "8576257"}, {"ref": "fullflu/covid-interactive-visualization-on-the-world-map", "kernel_id": "8612100"}, {"ref": "zusmani/tutorial-covid19-global-forecast", "kernel_id": "8566445"}, {"ref": "bhavesh09/uk-india-prediction", "kernel_id": "8492189"}, {"ref": "koohyh/2019-ncov-spread-modeling-with-pymc3", "kernel_id": "8483753"}, {"ref": "dgrechka/sir-model-fit-for-italy", "kernel_id": "8501820"}, {"ref": "yilmazalp/covid-19", "kernel_id": "8509977"}, {"ref": "silentviper/covid-19-novel-corona-virus-daily-infection-rate", "kernel_id": "8526702"}, {"ref": "nonserial/covid19-mlr3learners-lightgbm-on-daily-new-cases", "kernel_id": "8531253"}, {"ref": "nonserial/covid19-prediction-with-restcountries-eu-api-data", "kernel_id": "8532312"}, {"ref": "nonserial/covid19-prediction-with-restcountries-eu", "kernel_id": "8555194"}, {"ref": "tyadav/covid19-data-analysis", "kernel_id": "8575217"}, {"ref": "fzhurd/eda-and-random-forest-score-0-81-for-beginner", "kernel_id": "8534915"}, {"ref": "casras/basic-eda-and-predict-by-curve-fitting", "kernel_id": "8495306"}, {"ref": "casras/covid19-eda-and-exponential-curve-fitting-predict", "kernel_id": "8557484"}, {"ref": "jasonbenner/lets-try-xgboost-simple-w-added-features", "kernel_id": "8525280"}, {"ref": "jagannathrk/covid-19-analysis", "kernel_id": "8505756"}, {"ref": "abhishekgar/covid-2019-risk-analysis-country-wise", "kernel_id": "8601755"}, {"ref": "bryanb/interactive-chloropleth-map-on-covid19-data-eda", "kernel_id": "8671010"}, {"ref": "seshurajup/covid-19-forecasting-with-regression-trees", "kernel_id": "8525875"}, {"ref": "imanurag/kernel7531738b4b", "kernel_id": "8514527"}, {"ref": "ljjblackpig/some-plots", "kernel_id": "8486636"}, {"ref": "sarthakpawar/first-attempt-to-a-forecasting-problem", "kernel_id": "8538309"}, {"ref": "suyashkharade/eda-covid-19", "kernel_id": "8542750"}, {"ref": "balakaran/covid-19-eda-countrywide-trends", "kernel_id": "8631442"}, {"ref": "vjshinde04/basic-data-transformation-forecasting", "kernel_id": "8566332"}, {"ref": "marcusgawronsky/controlling-covid-19", "kernel_id": "8545748"}, {"ref": "krishm/corona-2020-eda", "kernel_id": "8480367"}, {"ref": "osciiart/covid19-catboost", "kernel_id": "8582972"}, {"ref": "osciiart/covid19-lightgbm", "kernel_id": "8581065"}, {"ref": "osciiart/covid-19-lightgbm-no-leak", "kernel_id": "8595725"}, {"ref": "djohn8/covid-19-plots-predictions", "kernel_id": "8491009"}, {"ref": "djohn8/covid-19-detailed-analysis", "kernel_id": "8535689"}, {"ref": "peterfennell/covid19-publicly-available-data", "kernel_id": "8501411"}, {"ref": "joemenifee/covid19-prediction", "kernel_id": "8570500"}, {"ref": "koheimuramatsu/covid19-forecast-week1", "kernel_id": "8546405"}, {"ref": "lilsummer877/ode-sir-x-model-estimate-the-unreported-cases", "kernel_id": "8554855"}, {"ref": "claudiovalim/covid19-global-forecasting-ea8f2f", "kernel_id": "8569750"}, {"ref": "lawrencechen98/covid-19-world-forecast", "kernel_id": "8541250"}, {"ref": "grapestone5321/covid19-global-forecasting-w1-sample-submission", "kernel_id": "8487019"}, {"ref": "robotc142/test-kernel1", "kernel_id": "8538115"}, {"ref": "pradeepmuniasamy/covid19-inside-story-of-each-countries", "kernel_id": "8487065"}, {"ref": "sadeka007/covid-19-global-forecasting-week-1", "kernel_id": "8586120"}, {"ref": "rohitmidha23/covid2-starter", "kernel_id": "8611263"}, {"ref": "apoorvm/rf-covid-forcast", "kernel_id": "8566442"}, {"ref": "apoorvm/covid19-forcast", "kernel_id": "8535407"}, {"ref": "aariasag/simulation-of-infected-curves", "kernel_id": "8575777"}, {"ref": "sambitmukherjee/interactive-leaflet-maps-how-covid-19-spread", "kernel_id": "8499633"}, {"ref": "cuberti/covid-19-rf-with-integrated-world-data", "kernel_id": "8525833"}, {"ref": "djaman/covid19-additional-features", "kernel_id": "8520703"}, {"ref": "jpadilhas/covid-19-an-lise-dos-dados-em-portugues", "kernel_id": "8511655"}, {"ref": "puneetbhateja93/covid-forecast-by-stepfunction-v1-0", "kernel_id": "8566972"}, {"ref": "puneetbhateja93/covid-forecast-by-stepfunction-v1-4-rf", "kernel_id": "8585832"}, {"ref": "puneetbhateja93/covid-forecast-by-stepfunction-v1-3-etr", "kernel_id": "8584754"}, {"ref": "lovedeepsaini/kernel332b406343", "kernel_id": "8546058"}, {"ref": "shawon10/covid-19-easy-data-analysis-for-beginners", "kernel_id": "8546553"}, {"ref": "gustavomodelli/model-xgboost-covid", "kernel_id": "8531165"}, {"ref": "ajaysamp/covid-19-a-quick-look", "kernel_id": "8547164"}, {"ref": "teamotea/covid19-eda", "kernel_id": "8494155"}, {"ref": "elenabalena/covid19-notebook-2", "kernel_id": "8492548"}, {"ref": "yuanquan/covid-19-prediction-by-country-and-province", "kernel_id": "8589309"}, {"ref": "erichamers/millions-of-cases-in-20-days-covid-19-prediction", "kernel_id": "8503432"}, {"ref": "ygivenx/covid-19-is-us-the-worse", "kernel_id": "8506640"}, {"ref": "vjaiwantx20/basic-data-science-on-covid19-forecast-dataset", "kernel_id": "8583937"}, {"ref": "ahsanfarooqui/coronavirus-eda-for-pakistan-and-some-predictions", "kernel_id": "8545293"}, {"ref": "crischir/logistic-curve-fitting-global-covid-19-confirmed", "kernel_id": "8557331"}, {"ref": "rajoriyas/covid19-global-forecasting-week-1-rajoriyas", "kernel_id": "8578036"}, {"ref": "parmarsuraj99/covid19-global-week-1", "kernel_id": "8510091"}, {"ref": "jshubham/covid19-effect-of-socio-economic-indicators", "kernel_id": "8519385"}, {"ref": "diamondsnake/covid-19-logistic-curve-fitting-week-1", "kernel_id": "8544269"}, {"ref": "sixteenpython/covid-19-transmission-rates-and-factors", "kernel_id": "8566841"}, {"ref": "gopalsingh5/covid19-analysiss", "kernel_id": "8574063"}, {"ref": "havihavish/csce-5300-1", "kernel_id": "8848207"}, {"ref": "khoongweihao/simple-ensemble-with-decision-trees", "kernel_id": "8545324"}, {"ref": "rahulsarkar906/covid-19-eda-time-series-forecasting", "kernel_id": "8559942"}, {"ref": "doomdiskday/enhancing-the-data-eda-all-you-need", "kernel_id": "8527082"}, {"ref": "helmehelmuto/intial", "kernel_id": "8497534"}, {"ref": "thieuma06/covid-19-holt-s-methods", "kernel_id": "8559320"}, {"ref": "andreikhropov/catboost-with-randomized-search", "kernel_id": "8553063"}, {"ref": "vikram687/covid19-global-forecasting", "kernel_id": "8555074"}, {"ref": "clarinetex/covid-19-quick-visualization", "kernel_id": "8540461"}, {"ref": "volpatto/covid-19-study-with-epidemiology-models", "kernel_id": "8503580"}, {"ref": "rashaddism/effect-of-temperature-humidity", "kernel_id": "8615001"}, {"ref": "steffanobrito/pontofuturo-2semana-decaimento", "kernel_id": "8586103"}, {"ref": "ghaiyur/sklearn-based-india-predictions", "kernel_id": "8547543"}, {"ref": "ghaiyur/xgboost", "kernel_id": "8564118"}, {"ref": "tandonarpit6/covid-19-epidemiological-curve-to-assess-india", "kernel_id": "8508244"}, {"ref": "cliftonbaldwin/kernel2954d0d456", "kernel_id": "8588080"}, {"ref": "akashsuper2000/sigmoid-per-country", "kernel_id": "8523457"}, {"ref": "akashsuper2000/sarimax-baseline-starter-prediction", "kernel_id": "8523754"}, {"ref": "akashsuper2000/covid19-global-forecasting", "kernel_id": "8574200"}, {"ref": "akashsuper2000/lets-try-xgboost-simple-w-added-features", "kernel_id": "8574092"}, {"ref": "kamalisrinivasan/covid-19", "kernel_id": "8609522"}, {"ref": "yugagrawal95/seir-model-with-intervention", "kernel_id": "8574639"}, {"ref": "marychin/check-non-cumulative-confirmedcases-fatalities", "kernel_id": "8584846"}, {"ref": "ritarana123/kernel5fd8491014", "kernel_id": "8582435"}, {"ref": "lilylong/kernel855ba0a16f", "kernel_id": "8553923"}, {"ref": "dferhadi/covid-19-time-series-starter-code", "kernel_id": "8635863"}, {"ref": "dferhadi/global-forecasting-covid-19-random-forest", "kernel_id": "8541199"}, {"ref": "dferhadi/logistic-curve-fitting-global-covid-19-confirmed", "kernel_id": "8541874"}, {"ref": "mehdi16/covid-19-week-2alternative", "kernel_id": "8668073"}, {"ref": "mehdi16/simple-straight-forward-covid-19-forecast", "kernel_id": "8528868"}, {"ref": "prayankkul/covid19-understanding-data-and-forecasting", "kernel_id": "8539795"}, {"ref": "nikhilmallela/corona19-multivariate-multi-step-stacked-lstm", "kernel_id": "8506542"}, {"ref": "nikschet/covid-19-prediction-by-country-gr-vs-pt", "kernel_id": "8666629"}, {"ref": "mahmudds/covid19-global-forecasting-week-1", "kernel_id": "8521796"}, {"ref": "jorijnsmit/sigmoid-fitting-with-known-parameters-for-china", "kernel_id": "8565767"}, {"ref": "twhelan/covid19-creating-an-enriched-dataset", "kernel_id": "8566122"}, {"ref": "twhelan/covid19-rf-with-enriched-data", "kernel_id": "8527081"}, {"ref": "pranjalya/covid-19", "kernel_id": "8544894"}, {"ref": "xceptions/covid19-the-story-the-trend-the-data-the-end", "kernel_id": "8539741"}, {"ref": "sulianova/covid-19-data-visualization-and-eda", "kernel_id": "8487287"}, {"ref": "fanconic/covid-19-additional-statistics", "kernel_id": "8531204"}, {"ref": "mertcaglar/sarimax-baseline-starter-prediction", "kernel_id": "8512311"}, {"ref": "senpinaki222/covid-19-confirmed-cases-and-fatalities-data", "kernel_id": "8520233"}, {"ref": "senpinaki222/covid19-global-forecasting", "kernel_id": "8506459"}, {"ref": "jeploretizo/covid19-time-series", "kernel_id": "8557147"}, {"ref": "statmax/r-notebook", "kernel_id": "8574860"}, {"ref": "carlkirstein/covid19-forecast-global-competition", "kernel_id": "8526978"}, {"ref": "anilkay/worldmapcor", "kernel_id": "8551174"}, {"ref": "bluewizard/covid-19-and-the-big-5-personality-test", "kernel_id": "8517192"}, {"ref": "wilk258/coronaeda", "kernel_id": "8492426"}, {"ref": "yemimacarissa/kernel33376fd667", "kernel_id": "8578113"}, {"ref": "abhinand05/covid-19-digging-a-bit-deeper", "kernel_id": "8477085"}, {"ref": "wjburns/covid-19-deaths-per-country", "kernel_id": "8528162"}, {"ref": "kishanbala/covid19-predictions-bestmodel", "kernel_id": "8542268"}, {"ref": "disli2/kernel752bda4a78", "kernel_id": "8516749"}, {"ref": "nigo1973/eda-trend-of-new-cases-in-the-world", "kernel_id": "8527571"}, {"ref": "catwhiskers/some-obervation-and-eda", "kernel_id": "8510294"}, {"ref": "vignesh19497/covid19-global-forecast-version1", "kernel_id": "8533884"}, {"ref": "janvichokshi/covid-19-eda-using-plotly", "kernel_id": "8507939"}, {"ref": "anupriyo/forecasting-covid19-cases-in-the-future", "kernel_id": "8514260"}, {"ref": "pritha21/covid-19-global-forecasting", "kernel_id": "8571748"}, {"ref": "pritha21/covid-19-week-2-forecasting", "kernel_id": "8679319"}, {"ref": "nitingrover425/kernel2a876aa315", "kernel_id": "8547116"}, {"ref": "shubhiey2/neural-network-forcovidprediction", "kernel_id": "8630944"}, {"ref": "aadi1141/kernel60ddd2e431", "kernel_id": "8580964"}, {"ref": "maximebataille/covid-19-simple-baseline", "kernel_id": "8546578"}, {"ref": "shakshisharma/kernelb454ab925d", "kernel_id": "8581651"}, {"ref": "ardadurmaz/covid-19-prediction", "kernel_id": "8552748"}, {"ref": "dhanasekar097/kernel3409267e51", "kernel_id": "8576202"}, {"ref": "egorokm/manyrfc-covid", "kernel_id": "8573078"}, {"ref": "egorokm/covid-regressionrf", "kernel_id": "8560835"}, {"ref": "egorokm/rfc-covid", "kernel_id": "8564509"}, {"ref": "jleibow27/eda-and-predictions", "kernel_id": "8523002"}, {"ref": "tonygeefus/covid-19-week-1-global", "kernel_id": "8511689"}, {"ref": "cjh34544/covid-19-forecasting-in-korea", "kernel_id": "8536535"}, {"ref": "vtaquet/covid-19-eda-and-auto-regressive-linear-model", "kernel_id": "8492276"}, {"ref": "sumitai/eda-covid19-global-forecasting", "kernel_id": "8487806"}, {"ref": "rohithkaliyur/beginner-covid-19-analysis-please-help", "kernel_id": "8585810"}, {"ref": "gravitytrope/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8569587"}, {"ref": "charliemcgowan96/covid-19-visualization-and-eda", "kernel_id": "8528097"}, {"ref": "vaibhavsxn/forking-for-my-personal-use", "kernel_id": "8554295"}, {"ref": "prernaa27/kernel32b702d564", "kernel_id": "8582738"}, {"ref": "frlemarchand/covid-19-forecasting-with-an-rnn", "kernel_id": "8594697"}, {"ref": "saga21/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8474295"}, {"ref": "bosha1uk/kernel52dad2e0d9", "kernel_id": "8587075"}, {"ref": "sanasam/covid19-top-10-confirmedcase-countries-predictn", "kernel_id": "8540948"}, {"ref": "sanasam/covid19-how-it-spreads-over-the-time", "kernel_id": "8559578"}, {"ref": "gowtamsingulur/kernel60b41bee88", "kernel_id": "8541397"}, {"ref": "iamrahulr2k/rx-covid-19", "kernel_id": "8544167"}, {"ref": "shivangiverma/kernel1c73cc32d2", "kernel_id": "8544793"}, {"ref": "shivangiverma/kernel45a88d986d", "kernel_id": "8572935"}, {"ref": "krshiva/covid19-global-forecasting-basic-eda", "kernel_id": "8497200"}, {"ref": "girijeshcse/covid-19-digging-a-bit-deeper", "kernel_id": "8505300"}, {"ref": "jlgleason/covid-19-global-forecasts-using-probabilistic-rnns", "kernel_id": "8570950"}, {"ref": "natalietech/covid19-forecast-notebook", "kernel_id": "8518603"}, {"ref": "franlopezguzman/covid19-interactive-visualizations-with-altair", "kernel_id": "8550520"}, {"ref": "franlopezguzman/covid19-minimalist-polynomial-regressor-proposal", "kernel_id": "8578094"}, {"ref": "franlopezguzman/covid19-how-many-brazilians-will-be-infected", "kernel_id": "8571764"}, {"ref": "pastrop/covid19-basic-data-analysis", "kernel_id": "8528672"}, {"ref": "nunoferreira840/simple-xgboost-covid-19", "kernel_id": "8543798"}, {"ref": "shikhar721/fork-of-my-covid19-94b60a", "kernel_id": "8583570"}, {"ref": "yongwei0825/covid-19-spread-rate-in-early-stage-with-temp", "kernel_id": "8536872"}, {"ref": "washingtongold/covid19-forecasting-w-lots-of-external-sources", "kernel_id": "8483959"}, {"ref": "yashagrawal300/covid-19-week-1", "kernel_id": "8521699"}, {"ref": "thangnghv/forecasting-using-regression-models", "kernel_id": "8654038"}, {"ref": "hotstaff/estimate-each-country-s-situation-next-week", "kernel_id": "8521674"}, {"ref": "johnjdavisiv/semiparametric-regression-for-predicting-covid19", "kernel_id": "8563536"}, {"ref": "chiraggodaw/covid-19", "kernel_id": "8578331"}, {"ref": "razvanra2/covid-19-digging-a-bit-deeper-7e4e95", "kernel_id": "8542960"}, {"ref": "fcasancha/visualizations-covid19", "kernel_id": "8535464"}, {"ref": "forwet/covid-19-analysis-1", "kernel_id": "8492831"}, {"ref": "yashgoyal401/less-code-accurate-result-best-predictions", "kernel_id": "8512222"}, {"ref": "eliasgreen/covid-19-decomposition-regression", "kernel_id": "8500677"}, {"ref": "amirahalsulami/covid19-global-forcast-simple-eda-pr-model", "kernel_id": "8568198"}, {"ref": "ivince20x4/covid-19-polynomial", "kernel_id": "8568514"}, {"ref": "baratheonr6/short-visualization-and-analysis", "kernel_id": "8541024"}, {"ref": "shi123123/covid19-prediction", "kernel_id": "8576993"}, {"ref": "tinurohith18/covid-19", "kernel_id": "8542734"}, {"ref": "manasgargv6/covid19-randomforest", "kernel_id": "8570652"}, {"ref": "smagadi/covid-predictions", "kernel_id": "8519269"}, {"ref": "artem99/covid-19-scipy", "kernel_id": "8540716"}, {"ref": "deepakdeepu8978/covid-19-analysis-eda-forecasting", "kernel_id": "8537689"}, {"ref": "kinkpunk/my-forecasting-covid19", "kernel_id": "8493324"}, {"ref": "folk85/kernel4bb870b25e", "kernel_id": "8541827"}, {"ref": "thomasadorfer/covid-19-continent-analysis", "kernel_id": "8522110"}, {"ref": "smasahudu97/randomforest", "kernel_id": "8528509"}, {"ref": "gpiyama2119/naive-lstm-model-test-for-covid19", "kernel_id": "8512621"}, {"ref": "tsubasatwi/lightgbm-multi-output-regressor-model-covid-19", "kernel_id": "8486880"}, {"ref": "davidbnn92/weather-data", "kernel_id": "8483238"}, {"ref": "davidbnn92/using-weather-data-to-predict-spread-of-covid-19", "kernel_id": "8564634"}, {"ref": "binhlc/sars-cov-2-voting-regressor", "kernel_id": "8522366"}, {"ref": "pstarszyk/kernel63f401752b", "kernel_id": "8582709"}, {"ref": "nickteim/covid19-1-model", "kernel_id": "8552936"}, {"ref": "ronieto/confirmed-cases-and-deaths-predictions-till-04-22", "kernel_id": "8585056"}, {"ref": "draghav/covid-19-india", "kernel_id": "8698661"}, {"ref": "davidistrati/arima-forecasting-model-for-covid-19", "kernel_id": "8564311"}, {"ref": "parask11/kernel1bdd665155", "kernel_id": "8482344"}, {"ref": "ignaciomcgallo/covid-19-polynomial-models-and-visualization", "kernel_id": "8585309"}, {"ref": "varungowda1/top-3-country-cases", "kernel_id": "8579351"}, {"ref": "jayatik9/covid-19", "kernel_id": "8531965"}, {"ref": "jaygaud1/jay123", "kernel_id": "8558602"}, {"ref": "thaole25/covid19", "kernel_id": "8541123"}, {"ref": "ranjithks/ran-covid-19-week1", "kernel_id": "8521508"}, {"ref": "suvarnaborse/novel-corona-virus-2019", "kernel_id": "8543434"}, {"ref": "safwanbardolia/kernel5868b66303", "kernel_id": "8597559"}, {"ref": "teyang/covid-19-google-trends-auto-arima-forecasting", "kernel_id": "8494664"}, {"ref": "anatidae/covid-19-global", "kernel_id": "8587183"}, {"ref": "mohres/covid-19-extract-important-features", "kernel_id": "8579686"}, {"ref": "taherhaggui/covid-forecasting", "kernel_id": "8513641"}, {"ref": "akatarou/kernel6e8262d51f", "kernel_id": "8621216"}, {"ref": "keyehang/covid-19-forecasting-with-an-rnn", "kernel_id": "8931521"}, {"ref": "bahaasaifalnasr/covid-19-analysis-and-regression", "kernel_id": "8584885"}, {"ref": "salamalqerem/covid19-global-forecasting", "kernel_id": "8573755"}, {"ref": "rahyan57/kernel18b8602f3a", "kernel_id": "8553193"}, {"ref": "haplophyrne/week-3", "kernel_id": "8792465"}, {"ref": "ibeakanmajoshua/kernel65e7f1e214", "kernel_id": "8512584"}, {"ref": "ggarciabas/estudo-da-base-covid19", "kernel_id": "8577732"}, {"ref": "rpsuraj/covid-19-comprehensive-data-visualization", "kernel_id": "8619861"}, {"ref": "jasonyikim/covid-19-rf", "kernel_id": "8538277"}, {"ref": "antoniozarauzmoreno/covid19-eda-spain", "kernel_id": "8509747"}, {"ref": "souvik251/analysis-and-forecasting", "kernel_id": "8598798"}, {"ref": "enriqueabad/exponential-and-logistic-like-fit", "kernel_id": "8586627"}, {"ref": "haresrv/covid-19-blitzkreig", "kernel_id": "8537746"}, {"ref": "andynath/covid-19-beginner-eda-random-forest-xgboost", "kernel_id": "8560644"}, {"ref": "dktalaicha/timeseries-forecasting", "kernel_id": "8584070"}, {"ref": "mdmahmudferdous/covid-19-global-forecasting-1", "kernel_id": "8488478"}, {"ref": "manojkrmahato/covid19-global-forecasting", "kernel_id": "8583427"}, {"ref": "philipboyedoku/kernel73a517a843", "kernel_id": "8587069"}, {"ref": "dhamayanthim80/eda-covid19-italy-insights", "kernel_id": "8490179"}, {"ref": "zhiyaoliang/first-week-prediction", "kernel_id": "8496797"}, {"ref": "singhharshita/covid-19-global-forecast-week-1", "kernel_id": "8576768"}, {"ref": "siddheshkadam/covid19", "kernel_id": "8507832"}, {"ref": "sergeyverbitskiy/kernel1b192b4d35", "kernel_id": "8576601"}, {"ref": "santitorresj/covid-19", "kernel_id": "8481637"}, {"ref": "teju4405/kernel5e0c878e47", "kernel_id": "8506766"}, {"ref": "teju4405/kernel4f4bf47268", "kernel_id": "8510052"}, {"ref": "sazinsamin/covid-19-easiest-one-in-laderboard-43", "kernel_id": "8571560"}, {"ref": "sazinsamin/covid-19-prediction", "kernel_id": "8535551"}, {"ref": "nonstochastic147/covid-19-uoh", "kernel_id": "8575237"}, {"ref": "srashtigoyal/sier-sir", "kernel_id": "8577858"}, {"ref": "lisphilar/combination-of-curve-fitting-and-sir-f-model", "kernel_id": "8545730"}, {"ref": "sanchezvivi/covid-19-influence-variables-research", "kernel_id": "8583917"}, {"ref": "jerodriguezro33/covid19-y-colombia", "kernel_id": "8516698"}, {"ref": "jerodriguezro33/colombia", "kernel_id": "8519038"}, {"ref": "saurabhgsingh/covid-19-fitting-confirmed-cases-to-sigmoid-func", "kernel_id": "8578481"}, {"ref": "mustafabozkurt/visualization-techniques-using-yellowbricks", "kernel_id": "8582140"}, {"ref": "h22222h/data-visualization-and-modeling-for-cover-19", "kernel_id": "8585512"}, {"ref": "sagarnilbose/covid-19-uoh", "kernel_id": "8584237"}, {"ref": "mustaphayinkayusuf/kernel11b6a7f215", "kernel_id": "8534412"}, {"ref": "michaelnissan/fill-missing-data-with-other-us-states-exp-or-pol", "kernel_id": "8561182"}, {"ref": "aliabdelfattahahmed/covid-19-digging-a-bit-deeper", "kernel_id": "8517473"}, {"ref": "anirudhraj/covid-19-data-prediction-beginner", "kernel_id": "8568615"}, {"ref": "sugiyama34/linear-regression-of-growth-rate", "kernel_id": "8552456"}, {"ref": "annapaleczek/covid-19-predictions-competition", "kernel_id": "8551430"}, {"ref": "shivendrakaura/kernel6f04c31e51", "kernel_id": "8567486"}, {"ref": "shivendrakaura/kernel57e6da643d", "kernel_id": "8567180"}, {"ref": "andreyostrast/covid-19-eda-with-recent-update-on-april", "kernel_id": "8735064"}, {"ref": "sadiakhalil/covid-19-global-eda-forecast", "kernel_id": "8499749"}, {"ref": "pathtoai/covid-19-data-analysis", "kernel_id": "8555881"}, {"ref": "thalestozatto/covid-world-forecast-mlp", "kernel_id": "8494119"}, {"ref": "niklausparcell/kernel2702cc9248", "kernel_id": "8587076"}, {"ref": "lakshpri/data-analysis-and-forecasting-covid-19", "kernel_id": "8550197"}, {"ref": "rezoanoorrahman/cluster-based-model", "kernel_id": "8582957"}, {"ref": "janoschk/finalregression", "kernel_id": "8578885"}, {"ref": "vaibhavrao113/attempt-1", "kernel_id": "8514272"}, {"ref": "liujialing2020/week-one", "kernel_id": "8570715"}, {"ref": "liujialing2020/week1-ljl", "kernel_id": "8553920"}, {"ref": "liujialing2020/kernel4b4edd705e", "kernel_id": "8554247"}, {"ref": "etgreen/kernel1ad3ba5db0", "kernel_id": "8530709"}, {"ref": "suchivijay/kernel35d406586c", "kernel_id": "8533344"}, {"ref": "sabrinagill/exploratory", "kernel_id": "8534588"}, {"ref": "affimehm/covid-19-digging-a-bit-deeper", "kernel_id": "8539599"}, {"ref": "bendkjonu/covid19-time-series", "kernel_id": "8541908"}, {"ref": "briansynthetaic/kernel38d4ea814e", "kernel_id": "8586262"}, {"ref": "lakshmitechie/covid-19-analysis", "kernel_id": "8578453"}, {"ref": "synecticsteam/covid-analysis", "kernel_id": "8599753"}, {"ref": "solyoh21/djjeje3773xnbc", "kernel_id": "8693385"}, {"ref": "tylerpike/covid-19-forecasting-fforma", "kernel_id": "8584623"}, {"ref": "saikrishnakowda/covid-19-analysis", "kernel_id": "8697299"}, {"ref": "vatsalparmar/analysis-week2", "kernel_id": "8628012"}, {"ref": "abdelbsf/kernel795ab6692e", "kernel_id": "8634128"}, {"ref": "testtrained/covid-19-eda-with-recent-update-on-march", "kernel_id": "8706792"}, {"ref": "sudhaguda/kernel49e2e06c4a", "kernel_id": "8951219"}, {"ref": "stefanosalati/covid19-model-adapted-to-italian-data", "kernel_id": "8996759"}, {"ref": "gaborfodor/covid19-submission-analysis", "kernel_id": "9024406"}, {"ref": "wjholst/covid-19-impact-of-economic-reopening", "kernel_id": "9069924"}, {"ref": "ashutoshsoni891/kernel673446fc33", "kernel_id": "9324824"}, {"ref": "giginghn/weather-data-week-4", "kernel_id": "9001589"}, {"ref": "navesharma9/covid19-global-forecasting-eda-bokehjs", "kernel_id": "9400422"}, {"ref": "concealberti/covid-week1-weather-lstm", "kernel_id": "9677423"}, {"ref": "concealberti/covid-week1-weather", "kernel_id": "9234408"}, {"ref": "abhaydhiman/covid-19-week-1st-pred", "kernel_id": "9557394"}, {"ref": "etgreen/kernel36a171874c", "kernel_id": "9135604"}, {"ref": "shambhavibelhe/kernel5d82d60e33", "kernel_id": "9957553"}, {"ref": "hellotoday/data-checking-basic-forecasting", "kernel_id": "9915073"}, {"ref": "deadskull7/covid-19-inf-lung-segmentation-classification", "kernel_id": "10322295"}, {"ref": "sureshmecad/global-forecasting-week-1", "kernel_id": "10234168"}, {"ref": "harsha99b/covid-eda", "kernel_id": "10210212"}, {"ref": "wangpiaohong/rnn-scut", "kernel_id": "10467885"}, {"ref": "sarojbisi/cross-validations-automation", "kernel_id": "10491089"}, {"ref": "kxh123/lightgbm-covid19", "kernel_id": "10217016"}, {"ref": "abhiparashar/eda-covid-19-notebook-3-effect-on-temperature", "kernel_id": "10186225"}, {"ref": "datawarriors/covid19-forecasting-week1-using-random-forest", "kernel_id": "10912951"}, {"ref": "dormrd2020/notebookb6dea1ece2", "kernel_id": "11830424"}, {"ref": "kxh123/xgboost-model-covid19", "kernel_id": "11188138"}, {"ref": "nurvianggraini/covid-19-analysis-eda-forecasting", "kernel_id": "12430051"}, {"ref": "eitanalroy/sir-pools", "kernel_id": "12416695"}, {"ref": "prakashvm/notebook1e9de3f4c5", "kernel_id": "13465314"}, {"ref": "mananjethwani/covid-19-effect-of-temperature-humidity", "kernel_id": "13226437"}, {"ref": "lingyuxiong/covid19-forecasting", "kernel_id": "14124182"}, {"ref": "aarons0/covid-19-and-happiness-dataset", "kernel_id": "15795049"}, {"ref": "solocheco/covid-19-digging-a-bit-deeper", "kernel_id": "15818671"}, {"ref": "haneulyoo/cs376-baseline-lr", "kernel_id": "16694597"}, {"ref": "yourimshin/cs376-baseline", "kernel_id": "17027379"}, {"ref": "tiirro/cs376-team19", "kernel_id": "17852266"}, {"ref": "jisuyim/cs376-project", "kernel_id": "17513278"}, {"ref": "naqshabagnihotri/reg-tree-visualization-random-xgb", "kernel_id": "18628700"}, {"ref": "rekhav19bce1871/review-1", "kernel_id": "20215298"}, {"ref": "naqshabagnihotri/covid-prediction-lst", "kernel_id": "20429523"}, {"ref": "lottoexpecter/python-18-covid-data-confirmedcase-count-by-date", "kernel_id": "21660059"}, {"ref": "mohamedbakrey/using-segmentation-classification-for-covid-19", "kernel_id": "22324925"}, {"ref": "sayamkumar/covid19-global-forecasting", "kernel_id": "26751112"}, {"ref": "jetyami/covid-19-digging-a-bit-deeper", "kernel_id": "26166275"}, {"ref": "lalagafarova/polynomial-regression-for-prediction", "kernel_id": "28324872"}, {"ref": "hieutnguyen/covid-notebook", "kernel_id": "28193924"}, {"ref": "islamsaiful/covid19-global-prediction22", "kernel_id": "33314165"}, {"ref": "niralipatel20/bagging-technique-on-covid-19-dataset", "kernel_id": "36015976"}, {"ref": "parmeetsingh12/covid-19-eda-and-forecasting", "kernel_id": "39664926"}, {"ref": "sanketbhandari/covid-19-digging-a-bit-deeper", "kernel_id": "44025865"}, {"ref": "baqerhakim/feature-selection-by-lda-pca-and-svd", "kernel_id": "47634425"}, {"ref": "syedalihasnat/covid-ml-classification", "kernel_id": "105607746"}]}
{"competition_id": "19540", "kernels": []}
{"competition_id": "19545", "kernels": []}
{"competition_id": "19548", "kernels": [{"ref": "danevans/covid-19-ca-modeling-v1", "kernel_id": "8518506"}, {"ref": "benhamner/sample-submission-no-new-cases-baseline", "kernel_id": "8449084"}, {"ref": "benhamner/sample-submission-4-day-doubling-baseline", "kernel_id": "8449720"}, {"ref": "dbarge/kernel729257ce34", "kernel_id": "8588556"}, {"ref": "wjholst/covid-19-growth-prediction-logistic-curve", "kernel_id": "8532972"}, {"ref": "asimjalis/covid-19-california-prediction-model", "kernel_id": "8540841"}, {"ref": "ceshine/plotly-eda-example", "kernel_id": "8489606"}, {"ref": "peterkent/california-wk-1", "kernel_id": "8550591"}, {"ref": "panosc/california-curves-vs-other-world-regions", "kernel_id": "8491406"}, {"ref": "luonganhtuan93/signmoid-predict", "kernel_id": "8503489"}, {"ref": "luonganhtuan93/us-covid-historical-data", "kernel_id": "8520035"}, {"ref": "chriscc/covid-19-starter", "kernel_id": "8528390"}, {"ref": "jprachir/eda-differencing-fails-the-forecasting", "kernel_id": "8544524"}, {"ref": "tunguz/simple-covid-19-ca-eda", "kernel_id": "8479438"}, {"ref": "amirvahid/dynamic-chaos-in-covid-19-part-2", "kernel_id": "8586823"}, {"ref": "amirvahid/dynamic-chaos-in-covid-19-part-1", "kernel_id": "8531947"}, {"ref": "seshurajup/ca-prediction-linearregression-constant-growthrate", "kernel_id": "8572159"}, {"ref": "sanjaymaurya/covid-analysis-with-polynomialfeaturelr", "kernel_id": "8570328"}, {"ref": "joechan/covid19-a", "kernel_id": "8589143"}, {"ref": "patricolee/covid19-us-ca-week1", "kernel_id": "8567517"}, {"ref": "vjshinde04/data-transformation-forecasting", "kernel_id": "8566627"}, {"ref": "grapestone5321/covid19-local-us-ca-forecast-w1-sample-submission", "kernel_id": "8519600"}, {"ref": "latimerb/normalizing-by-population-more-testing-needed", "kernel_id": "8529031"}, {"ref": "lashamaev/covid-19-predictions-growth-factor-and-calculus", "kernel_id": "8832965"}, {"ref": "kuruvilla87/covid-19-analysing-growth-factor-in-california", "kernel_id": "8577963"}, {"ref": "egalinkin/kernel5c99f9fa63", "kernel_id": "8547735"}, {"ref": "rajoriyas/covid19-local-us-ca-forecasting-week-1", "kernel_id": "8510071"}, {"ref": "tsezegera/kernel430768ef22", "kernel_id": "8528272"}, {"ref": "adrian1acoran/kernel6546753463", "kernel_id": "8475327"}, {"ref": "mehernan/covid-19-forecast-mehernandez", "kernel_id": "8515789"}, {"ref": "dferhadi/covid-19-time-series-starter-code", "kernel_id": "8635863"}, {"ref": "dferhadi/global-forecasting-covid-19-random-forest", "kernel_id": "8541199"}, {"ref": "dferhadi/covid-19-predictions-growth-factor-and-calculus", "kernel_id": "8434834"}, {"ref": "rvadlam2/identifying-spread-of-coronavirus-in-california", "kernel_id": "8586216"}, {"ref": "rnglol/simple-taylor-series-model", "kernel_id": "8502507"}, {"ref": "jeploretizo/covid19-ts-ca", "kernel_id": "8585594"}, {"ref": "abhijithchandradas/caprediction-linearregression-multiple-growth-rate", "kernel_id": "8567190"}, {"ref": "carlkirstein/covid-19-prediction-competition", "kernel_id": "8520813"}, {"ref": "wjburns/covid-max", "kernel_id": "8520927"}, {"ref": "wjburns/covid-19-missing-california-data", "kernel_id": "8530061"}, {"ref": "wjburns/cvd-19-precipitation-correlation", "kernel_id": "8568034"}, {"ref": "khanalkiran/covid19-ca-sir-model", "kernel_id": "8485273"}, {"ref": "egorokm/us-covid19", "kernel_id": "8590823"}, {"ref": "danielalexander17/i-think-i-need-evaluated-this-model", "kernel_id": "8574251"}, {"ref": "mpwolke/plot-solidarity", "kernel_id": "8494047"}, {"ref": "esotericazzo/basic-eda-and-model-of-covid-19-for-us-ca", "kernel_id": "8557777"}, {"ref": "guidiandrea/quick-stuff-with-prophet-with-data-up-to-03-11", "kernel_id": "8545169"}, {"ref": "anindabhattacharjee/covid-us-kernel-fbprophet-bayesian-sampling", "kernel_id": "8561768"}, {"ref": "ranjanvd/covid19-forecasting-using-multiple-techniques", "kernel_id": "8583717"}, {"ref": "eb1160/california-submission", "kernel_id": "8578849"}, {"ref": "kmatsuyama/covid-19-ca-by-simple-seir", "kernel_id": "8488003"}, {"ref": "sagaramu/analysis-by-moving-average-with-differencing", "kernel_id": "8540990"}, {"ref": "eliasgreen/autoarima-r", "kernel_id": "8524348"}, {"ref": "hideshoyama/covid19-local-us-ca-forecasting-week-1", "kernel_id": "8511751"}, {"ref": "nickteim/covid19-california-model-1", "kernel_id": "8581393"}, {"ref": "anatidae/kernel7413bd457a", "kernel_id": "8571865"}, {"ref": "shaoqianchen/covid-19-ca-varma", "kernel_id": "8518399"}, {"ref": "shaoqianchen/kernel55aa012d32", "kernel_id": "8518230"}, {"ref": "mdmahmudferdous/covid-19-us-ca-forecasting-top-4-notebook-6th", "kernel_id": "8488539"}, {"ref": "teju4405/kernel34dafe7832", "kernel_id": "8545978"}, {"ref": "lisphilar/sir-f-model-in-california-usa", "kernel_id": "8506359"}, {"ref": "hugorosen/covid-ca-logarithm-interpolation", "kernel_id": "8540868"}, {"ref": "akihisayamakawa/covid-19-ca-seir-with-parameter-optimization", "kernel_id": "8498431"}, {"ref": "michaelnissan/fill-missing-data-with-other-us-states-exp-or-pol", "kernel_id": "8561182"}, {"ref": "anandsinha2031/worldwide-data-and-graphs", "kernel_id": "8515345"}, {"ref": "liujialing2020/week-one", "kernel_id": "8570715"}, {"ref": "cnygaard/covid-19-predictions-growth-factor-and-calculus", "kernel_id": "9015943"}, {"ref": "pravinborate/covid-19-us-ca-forecasting", "kernel_id": "9244568"}, {"ref": "echo9k/covid-19-analytics-using-growth-factor", "kernel_id": "9650629"}, {"ref": "mahyarr/kernel13c3685935", "kernel_id": "9426427"}, {"ref": "yadavhimanshu/covid-19-prediction", "kernel_id": "9701124"}, {"ref": "sureshmecad/global-forecasting-week-1-california", "kernel_id": "10234287"}, {"ref": "youssefbahloul/forecasting-covid19-us-ca-using-models-lr-arima", "kernel_id": "14756534"}]}
{"competition_id": "19591", "kernels": [{"ref": "a10pepo/simpsons-kickstart", "kernel_id": "8499011"}]}
{"competition_id": "19596", "kernels": [{"ref": "jpmiller/intraspecie-differences-based-on-geography", "kernel_id": "1433154"}, {"ref": "pavansanagapati/pandas-bokeh-visualization-tutorial", "kernel_id": "1048693"}, {"ref": "pavansanagapati/birds-sounds-eda-spotify-urban-sound-eda", "kernel_id": "1153747"}, {"ref": "uldisvalainis/audiomodel", "kernel_id": "8963305"}, {"ref": "radek1/esp-starter-pack-v2", "kernel_id": "10335943"}, {"ref": "radek1/first-model", "kernel_id": "10224981"}, {"ref": "radek1/esp-starter-pack-v3", "kernel_id": "10378070"}, {"ref": "radek1/esp-starter-pack-from-training-to-submission", "kernel_id": "10617839"}, {"ref": "radek1/esp-starter-pack-v3-res34-minmax", "kernel_id": "10524837"}, {"ref": "rohanrao/birdcall-eda-chirp-hoot-and-flutter", "kernel_id": "10145497"}, {"ref": "hengck23/kernel4e58eee560", "kernel_id": "10812239"}, {"ref": "loveall/automated-ml-tools-for-data-scientists", "kernel_id": "10708378"}, {"ref": "ayonrab/birdsong-draft-1", "kernel_id": "10164970"}, {"ref": "subbuvolvosekar/extensive-eda-visualization-birdcall", "kernel_id": "10397158"}, {"ref": "subbuvolvosekar/birdcall-feature-extraction", "kernel_id": "10718843"}, {"ref": "jpison/inference-resnest50-fast-with-example-test-audio", "kernel_id": "10881710"}, {"ref": "mineshjethva/nb-1-1-exploration-and-normalization", "kernel_id": "10525604"}, {"ref": "mineshjethva/audio-tagging-with-feature-extraction-and-cnn", "kernel_id": "10872405"}, {"ref": "mineshjethva/making-prediction-with-keras-pre-trained-model", "kernel_id": "10859109"}, {"ref": "parulpandey/eda-and-audio-processing-with-python", "kernel_id": "10159563"}, {"ref": "ttahara/inference-birdsong-baseline-resnest50-fast", "kernel_id": "10503294"}, {"ref": "ttahara/training-birdsong-baseline-resnest50-fast", "kernel_id": "10502024"}, {"ref": "maxwell110/mluticlass-to-muiltilabel", "kernel_id": "10183174"}, {"ref": "dipta007/birdsong-cnn-pytorch", "kernel_id": "10206140"}, {"ref": "davidedwards1/tf-records-newbie-test", "kernel_id": "10785978"}, {"ref": "luisblanche/tensorflow-audio-reading-resnet-training", "kernel_id": "10305507"}, {"ref": "luisblanche/preprocessing-splitting-birds-sounds-background", "kernel_id": "10591338"}, {"ref": "artgor/which-bird-is-it", "kernel_id": "10144023"}, {"ref": "yuelong/detect-birdcall", "kernel_id": "10649571"}, {"ref": "anuragupadhyaya/cornell-birdcall-data-shading-visual-eda", "kernel_id": "10152357"}, {"ref": "pragadesh06/basic-eda-fe-starter-code", "kernel_id": "10366028"}, {"ref": "gpreda/birdcall-classification-eda", "kernel_id": "10251313"}, {"ref": "gpreda/download-birds-songs-recording-metadata", "kernel_id": "10942829"}, {"ref": "darshit7/eda-of-cornell-birdcall-identification-dataset", "kernel_id": "10249930"}, {"ref": "christianstaudt/submission-notebook", "kernel_id": "10956235"}, {"ref": "rautaki0127/all-birds-link", "kernel_id": "10245571"}, {"ref": "shahules/bird-watch-complete-eda-fe", "kernel_id": "10150306"}, {"ref": "ryches/birdsong-data-prep-datasetpls", "kernel_id": "10148304"}, {"ref": "ryches/birdsong-keras-starter", "kernel_id": "10148624"}, {"ref": "ryches/birdsong-keras-starter-continuation", "kernel_id": "10206876"}, {"ref": "syborg/geo-spatial-temporal-eda", "kernel_id": "10485871"}, {"ref": "pranavkasela/parallelized-spectrogram-as-numpy", "kernel_id": "10156118"}, {"ref": "grapestone5321/cornell-birdcall-identification-eda", "kernel_id": "10171271"}, {"ref": "thebratattack/eda-audio-processing-and-lstm", "kernel_id": "10233384"}, {"ref": "colinnordin/kernel5f2306224e", "kernel_id": "10850526"}, {"ref": "lichena/birdcall-secondary-labels-eda", "kernel_id": "10567678"}, {"ref": "seriousran/mfcc-feature-extraction-for-sound-classification", "kernel_id": "10160384"}, {"ref": "pawan28a95/simple-audio-to-spectrum-images", "kernel_id": "10484282"}, {"ref": "pawan28a95/xgb-inference", "kernel_id": "10246479"}, {"ref": "alanchn31/forked-resnet50-with-example-test", "kernel_id": "10896859"}, {"ref": "alanchn31/cornell-birdcall-fastai-effnetb3-inference", "kernel_id": "10946590"}, {"ref": "alanchn31/cornell-birdcall-fastai-starter-guide-effnetb1", "kernel_id": "10927667"}, {"ref": "shaitender/birdcall-identification-with-pytorch", "kernel_id": "10411966"}, {"ref": "joydeb28/feature-collection-base-model", "kernel_id": "10233117"}, {"ref": "kurianbenoy/quick-eda-spectogram-analysis-of-audio-file", "kernel_id": "10149329"}, {"ref": "rhtsingh/cornell-birdcall-superfast-mp3-to-wav", "kernel_id": "10174692"}, {"ref": "anshuls235/bird-chirp-recognition-extensive-eda", "kernel_id": "10179422"}, {"ref": "anshuls235/interactive-birdcall-app", "kernel_id": "10331123"}, {"ref": "docxian/birds-geography", "kernel_id": "10146320"}, {"ref": "tarunpaparaju/birdcall-identification-spectrogram-loader", "kernel_id": "10263680"}, {"ref": "tarunpaparaju/birdcall-identification-spectrogram-resnet", "kernel_id": "10144059"}, {"ref": "ajcostarino/some-nice-wave-graphs", "kernel_id": "10386614"}, {"ref": "yuvaramsingh/bird-inference-v1", "kernel_id": "10725659"}, {"ref": "vpkprasanna/eda-baseline-model", "kernel_id": "10484117"}, {"ref": "vpkprasanna/extensive-eda-and-feature-engineering", "kernel_id": "10893533"}, {"ref": "takamichitoda/birdcall-wavenet-very-very-small-baseline", "kernel_id": "10337480"}, {"ref": "hidehisaarai1213/inference-pytorch-birdcall-resnet-baseline", "kernel_id": "10249274"}, {"ref": "hawkey/birdsong-multi-label-dataset", "kernel_id": "10660295"}, {"ref": "kneroma/fast-audio-sampling-on-laod-time", "kernel_id": "10487519"}, {"ref": "mlneo07/birds-spectogram-are-somewhat-cleaned", "kernel_id": "10522457"}, {"ref": "seshganesh/audiomodel", "kernel_id": "10505037"}, {"ref": "seshganesh/dataprocessing", "kernel_id": "10416995"}, {"ref": "hamditarek/audio-data-analysis-using-librosa", "kernel_id": "10164093"}, {"ref": "sonmou/birdie-numnum-visualize-data-summary", "kernel_id": "10158162"}, {"ref": "ryuheeeei/data-visualization-and-sound-processing-tutorial", "kernel_id": "10178818"}, {"ref": "mauriciofigueiredo/methods-for-sound-noise-reduction", "kernel_id": "10908958"}, {"ref": "mauriciofigueiredo/intro-to-filtering-process-model-submitting", "kernel_id": "10474586"}, {"ref": "muhakabartay/birdcall-eda-full-basemap-geo-3d-elevation", "kernel_id": "10146077"}, {"ref": "jonykarki/birdcall-inference-simplecnn", "kernel_id": "10546202"}, {"ref": "servietsky/fast-import-audio-and-save-spectrograms", "kernel_id": "10748785"}, {"ref": "katanasoulx/for-beginner-simple-bird-classification", "kernel_id": "10549945"}, {"ref": "shonenkov/sample-submission-using-custom-check", "kernel_id": "10184179"}, {"ref": "shonenkov/prepare-check-dataset", "kernel_id": "10218811"}, {"ref": "shonenkov/competition-metrics", "kernel_id": "10241467"}, {"ref": "shikha130vv/getting-started", "kernel_id": "10680471"}, {"ref": "shikha130vv/multichannel-spectrogram", "kernel_id": "10896516"}, {"ref": "ishaan45/scipy-based-audio-analysis-and-train-eda", "kernel_id": "10165527"}, {"ref": "rishabhdhiman/training-resnest", "kernel_id": "10702945"}, {"ref": "akashsuper2000/inference-pytorch-birdcall-resnet-baseline", "kernel_id": "10340961"}, {"ref": "akashsuper2000/inference-birdsong-baseline-resnest50-fast", "kernel_id": "10895846"}, {"ref": "akashsuper2000/inference-resnest50-fast-with-example-test-audio", "kernel_id": "10929175"}, {"ref": "karthikvenktesh/cornell-birdcall-identification-inprogess", "kernel_id": "10538560"}, {"ref": "gopidurgaprasad/mfcc-feature-extraction-from-audio", "kernel_id": "10173964"}, {"ref": "gopidurgaprasad/birdcall-8-folds-with-8-tpu-cores-pytorch", "kernel_id": "10337439"}, {"ref": "gopidurgaprasad/birdcall-deepspeech-model-pytorch", "kernel_id": "10305702"}, {"ref": "gopidurgaprasad/birdcall-stater-tpu-resnet50-pytorch", "kernel_id": "10306499"}, {"ref": "gopidurgaprasad/birdcall-stater-pytorch", "kernel_id": "10249785"}, {"ref": "gopidurgaprasad/audio-augmentation-albumentations", "kernel_id": "10454909"}, {"ref": "gopidurgaprasad/birdcall-create-mp3-to-wav-dataset-with-sr-16000", "kernel_id": "10364615"}, {"ref": "carlosft/distributed-numpy-array-instant-access", "kernel_id": "10537606"}, {"ref": "arunodhayan/submissions", "kernel_id": "10325102"}, {"ref": "harshris21/complete-eda", "kernel_id": "10154002"}, {"ref": "artkulak/birdcall-extensive-eda-simple-rfc-submission", "kernel_id": "10152690"}, {"ref": "gabrielmilan/mp3-to-numpy-and-back", "kernel_id": "10159311"}, {"ref": "dhananjay3/background-removal-using-nussl", "kernel_id": "10273591"}, {"ref": "dhananjay3/simple-pytorch-starter", "kernel_id": "10289726"}, {"ref": "mahmudds/cornell-birdcall-identification", "kernel_id": "10687543"}, {"ref": "yujirokita/birdsong-dictionary", "kernel_id": "10159428"}, {"ref": "eladwar/wavenet-resize-audio", "kernel_id": "10264094"}, {"ref": "angqx95/eda-with-geospatial-analysis", "kernel_id": "10151495"}, {"ref": "subinium/birdcall-eda-with-full-visualization", "kernel_id": "10165941"}, {"ref": "rockingromio/spectrogram-and-mfccs", "kernel_id": "10829546"}, {"ref": "enforcer007/what-is-micro-averaged-f1-score", "kernel_id": "10175309"}, {"ref": "user123454321/birdsong-inference2", "kernel_id": "10529640"}, {"ref": "user123454321/birdsong-efficientnet-b2-pytorch-starter", "kernel_id": "10384452"}, {"ref": "gassan117/kernel3a217cf568", "kernel_id": "10572821"}, {"ref": "jaseemck/audio-processing-using-librosa-for-beginners", "kernel_id": "10688950"}, {"ref": "mistag/extracting-bird-song-signatures-with-wavelets", "kernel_id": "10959218"}, {"ref": "frlemarchand/bird-song-classification-using-an-efficientnet", "kernel_id": "10147097"}, {"ref": "tkrsh09/basic-eda-torchaudio-starter-mp3-tensor-dump", "kernel_id": "10987806"}, {"ref": "yash612/simple-audio-augmentation", "kernel_id": "10457040"}, {"ref": "ajax0564/some-preprocessing-ideas", "kernel_id": "10163929"}, {"ref": "redwankarimsony/cornell-birdcall-identification-eda", "kernel_id": "10285430"}, {"ref": "jainarindam/audio-augmentation-methods", "kernel_id": "10927695"}, {"ref": "jainarindam/imp-remove-background-dead-noise", "kernel_id": "10845344"}, {"ref": "navinmundhra/birdcall-starter-tablular-image-data", "kernel_id": "10225181"}, {"ref": "klaihelmi7/extract-and-save-spectograms", "kernel_id": "10582383"}, {"ref": "vineeth1999/inference-birdsong-baseline-resnest50-fast", "kernel_id": "10831146"}, {"ref": "raviyadav2398/cornell-birdcall-identification", "kernel_id": "10625646"}, {"ref": "saurah403/birdcall-what-these-graph-tells", "kernel_id": "10768930"}, {"ref": "andradaolteanu/birdcall-recognition-eda-and-audio-fe", "kernel_id": "10287391"}, {"ref": "namanj27/basic-audio-eda-librosa", "kernel_id": "10195970"}, {"ref": "cwthompson/birdsong-making-a-prediction", "kernel_id": "10176571"}, {"ref": "viswanadthbolla/bird-call-train-data-analysis", "kernel_id": "10220313"}, {"ref": "ashkhagan/audio-signal-processing-librosa", "kernel_id": "10485727"}, {"ref": "sanathnair09/birdsong-recognition", "kernel_id": "10766662"}, {"ref": "meckdahl/zo-submit-help-blind-predictions", "kernel_id": "10908209"}, {"ref": "delllectron/sound-feature-extraction-cornell-data", "kernel_id": "10927810"}, {"ref": "rohitsingh9990/eda-visualizations-simple-baseline", "kernel_id": "10147263"}, {"ref": "alansun17904/birdcall-classification-eda", "kernel_id": "10436086"}, {"ref": "alansun17904/submission-module-birdcall-classification", "kernel_id": "10469839"}, {"ref": "koranton/training-birdsong-baseline-resnest50-fas-13b670", "kernel_id": "10771621"}, {"ref": "nxrprime/simple-eda-preprocess-and-geographical-viz", "kernel_id": "10143625"}, {"ref": "idaoluoch/birdsong-eda", "kernel_id": "10410143"}, {"ref": "idaoluoch/bidsong-fe-and-modelling", "kernel_id": "10450122"}, {"ref": "chriscongleton/birdsong-recognition-basic-eda", "kernel_id": "10470244"}, {"ref": "artemsolomin/how-to-extract-metadata-straight-from-file", "kernel_id": "10282433"}, {"ref": "artemsolomin/birdcall-eda", "kernel_id": "10170601"}, {"ref": "dragonzhang/inference-baseline-resnest50-fast-forked4learn", "kernel_id": "10685422"}, {"ref": "makarbaderko/birdcall-identification-first-try", "kernel_id": "10437504"}, {"ref": "daviddamario/birdcall-clustering-similar-samples", "kernel_id": "10299808"}, {"ref": "kaitohonda/bird-c", "kernel_id": "10857734"}, {"ref": "slavaz/mfcc-features-as-numpy-files-for-training", "kernel_id": "10270063"}, {"ref": "jamesd5/some-geo-eda", "kernel_id": "10149538"}, {"ref": "rahulgulia/hey-smart-machine-can-you-identify-me", "kernel_id": "10153484"}, {"ref": "syphax93/birdsong-recognition-eda-and-audio-processing", "kernel_id": "10462480"}, {"ref": "leodav/birdsong-preprocessing-a2h", "kernel_id": "10618325"}, {"ref": "sophiebaumwell/bird-watch-complete-eda-fe", "kernel_id": "10308609"}, {"ref": "cslukew/birdcall-identification-simple-eda-and-fe", "kernel_id": "10469483"}, {"ref": "liuyinyang/kernel355f36797e", "kernel_id": "10915011"}, {"ref": "aamirhussain/comprehensive-feature-engineering-tutorial", "kernel_id": "11434436"}, {"ref": "gaborfodor/blend", "kernel_id": "11713855"}, {"ref": "wagnerikeda/audification", "kernel_id": "11618727"}, {"ref": "smallyellowduck/fast-audio-resampling-layer-in-pytorch", "kernel_id": "11732207"}, {"ref": "markpeng/blend-public-custom-final-v3", "kernel_id": "11751688"}, {"ref": "avloss/sights-on-a-map", "kernel_id": "11613389"}, {"ref": "srikanthpotukuchi/ordinal-logistic-regression-using-r", "kernel_id": "11187106"}, {"ref": "prashantmudgal/basic-resnet50", "kernel_id": "11500463"}, {"ref": "wabalubdubdub/birdsong-making-a-prediction", "kernel_id": "11023038"}, {"ref": "jonathanzhang/bird-song-wrangling-and-eda", "kernel_id": "11965027"}, {"ref": "ddmitry/training-birdcall-models-with-catalyst", "kernel_id": "11273082"}, {"ref": "iomili/bird-call-eda-and-cnn-with-spectrogram", "kernel_id": "11346610"}, {"ref": "gvyshnya/parallel-audio-feature-extraction-with-dask", "kernel_id": "11499542"}, {"ref": "gvyshnya/parallel-audio-feature-extraction-with-ray", "kernel_id": "11500006"}, {"ref": "gvyshnya/parallel-audio-feature-extraction-with-mp", "kernel_id": "11498997"}, {"ref": "rsesha/comparing-autoviml-to-pycaret-multiple-data", "kernel_id": "11375105"}, {"ref": "tiandaye/infernece-resnet50-with-audio-resample-baseline", "kernel_id": "11281831"}, {"ref": "retyidoro/explore-bird-calls", "kernel_id": "11067936"}, {"ref": "yaroshevskiy/inference-birdsong-refactoring-gpu-blend5-1", "kernel_id": "11752420"}, {"ref": "truonghoang/envnet-v2-training", "kernel_id": "11274456"}, {"ref": "truonghoang/se-resnext50-32x4d-inference", "kernel_id": "11448953"}, {"ref": "ishivinal/getting-started-with-audio-analysis", "kernel_id": "11374731"}, {"ref": "shams1/birdcall-recognition-eda-and-audio-fe", "kernel_id": "11712014"}, {"ref": "shams1/bird-submission", "kernel_id": "11419282"}, {"ref": "shams1/audio-data-analysis-using-librosa", "kernel_id": "11423222"}, {"ref": "shams1/inference-pytorch-birdcall-resnet-baseline", "kernel_id": "11627819"}, {"ref": "akshatgupta2810/notebook837497f893", "kernel_id": "11579434"}, {"ref": "colinnordin/audio-segmentation-tutorial", "kernel_id": "11701392"}, {"ref": "tonychenxyz/inference-birdsong-baseline-resnest50-fast", "kernel_id": "11091452"}, {"ref": "iafoss/cornell-birdcall", "kernel_id": "11638690"}, {"ref": "returnofsputnik/bird-submission", "kernel_id": "11546240"}, {"ref": "returnofsputnik/effnet-b1b2b3-tawara-inceptions-se-finals-v2", "kernel_id": "11747742"}, {"ref": "sapr3s/timestamps-example", "kernel_id": "11347356"}, {"ref": "ihelon/row-wise-micro-averaged-f1-score-metric", "kernel_id": "11114603"}, {"ref": "taggatle/example-training-notebook", "kernel_id": "11820792"}, {"ref": "taggatle/cornell-birdcall-identification-1st-place-solution", "kernel_id": "11813192"}, {"ref": "gauravchopracg/trying-to-create-a-validation-set", "kernel_id": "11452562"}, {"ref": "takamichitoda/birdcall-noise-reduction", "kernel_id": "11064867"}, {"ref": "takamichitoda/birdcall-cnn-and-transformer", "kernel_id": "11006265"}, {"ref": "takamichitoda/birdcall-nocall-prediction-by-panns-inference", "kernel_id": "11344702"}, {"ref": "takamichitoda/birdcall-nocall-prediction-with-denoise", "kernel_id": "11489110"}, {"ref": "hidehisaarai1213/introduction-to-sound-event-detection", "kernel_id": "11093105"}, {"ref": "hidehisaarai1213/birdcall-resnestsed-effnet-b0-ema-all-th04", "kernel_id": "11736583"}, {"ref": "kneroma/the-power-of-postprocessing-resnest50-at-its-best", "kernel_id": "11756517"}, {"ref": "kneroma/resnest50-fast-too-much-birds-could-hurt", "kernel_id": "11155611"}, {"ref": "vladimirsydor/4-th-place-solution-inference-and-training-tips", "kernel_id": "11763098"}, {"ref": "yasufuminakama/birdcall-visualize-pretrained-sed-predictions", "kernel_id": "11390552"}, {"ref": "santoshbothe/mfcc-feature-extraction-for-sound-classification", "kernel_id": "11237415"}, {"ref": "marcogorelli/cln-esp-starter-pack", "kernel_id": "11275387"}, {"ref": "tusharkale/birdcall-recognition-eda-and-audio-fe", "kernel_id": "11882283"}, {"ref": "ffares/resnest50-fast-oof-ensemble", "kernel_id": "11207595"}, {"ref": "weiquanl/simple-sound-event-detection-sed", "kernel_id": "11620602"}, {"ref": "weiquanl/birdsong-model-se-resnet", "kernel_id": "11469787"}, {"ref": "vishnurapps/dummies-guide-to-audio-analysis", "kernel_id": "11130973"}, {"ref": "lanle793/cornell-birdcall-identification-eda", "kernel_id": "11506523"}, {"ref": "lanle793/cornell-birdcall-identification-spectrogram", "kernel_id": "11314695"}, {"ref": "jonykarki/birddcall-inference-simplecnn", "kernel_id": "11074038"}, {"ref": "aditi81k/audio-augmentation", "kernel_id": "11318952"}, {"ref": "shikha130vv/multichannel-spectrogramtfrecords", "kernel_id": "11382397"}, {"ref": "roguekk007/resnest-cloud-validation-and-submission", "kernel_id": "11264262"}, {"ref": "roguekk007/modularized-resnest-training-with-mixed-precision", "kernel_id": "11255490"}, {"ref": "roguekk007/bird-submission", "kernel_id": "11346621"}, {"ref": "mightyrains/panns-datasets", "kernel_id": "11225170"}, {"ref": "akashsuper2000/sound-event-detection", "kernel_id": "11574548"}, {"ref": "akashsuper2000/introduction-to-sound-event-detection", "kernel_id": "11220000"}, {"ref": "chanhu/training-bird-simple-baseline", "kernel_id": "11090322"}, {"ref": "chanhu/inference-bird-simple-baseline", "kernel_id": "11103910"}, {"ref": "gopidurgaprasad/birdcall-stage3-final", "kernel_id": "11749951"}, {"ref": "theoviel/inference-theo", "kernel_id": "11065147"}, {"ref": "theoviel/training-a-winning-model", "kernel_id": "11642321"}, {"ref": "ladanova/notebook836ce73818", "kernel_id": "11436405"}, {"ref": "rsinda/inference-sound-event-detection", "kernel_id": "11265565"}, {"ref": "rsinda/ensemble-resnest50-efficient-net", "kernel_id": "11266065"}, {"ref": "rsinda/introduction-to-sound-event-detection", "kernel_id": "11252968"}, {"ref": "rsinda/training-efficientnet-model", "kernel_id": "11299501"}, {"ref": "jagdmir/birdsong-recognition-eda-fe", "kernel_id": "11271914"}, {"ref": "rainmaker29/notebookb3ddd0ea80", "kernel_id": "11611987"}, {"ref": "phoenix9032/resnet38-model-without-background", "kernel_id": "11552229"}, {"ref": "nxhong93/audio-visualize", "kernel_id": "11181880"}, {"ref": "itsuki9180/birdcall-using-tpu-inference", "kernel_id": "11406965"}, {"ref": "itsuki9180/birdcall-using-tpu-train", "kernel_id": "11406416"}, {"ref": "pchlq82/birdsong-images-classification-training-starter", "kernel_id": "11331581"}, {"ref": "pchlq82/training-birdsong-images-224x224-dataset", "kernel_id": "11153023"}, {"ref": "matthiasmurray/notebook5ff95e9b7a", "kernel_id": "11260506"}, {"ref": "nvnnghia/bird-submission-fun-test", "kernel_id": "11443188"}, {"ref": "srinivasdasu/birdcall-recognition", "kernel_id": "11753329"}, {"ref": "blaxkdolphin/birdcall-identification-talnet-predicting", "kernel_id": "11726541"}, {"ref": "yaroslavmavliutov/birdcall-recognition-csv-sound-analysis", "kernel_id": "11481497"}, {"ref": "yaroslavmavliutov/birdcall-recognition-spels-test-train-dataset", "kernel_id": "11499216"}, {"ref": "imeintanis/cornell-shake-up-report", "kernel_id": "11787052"}, {"ref": "eladwar/bert-audio", "kernel_id": "11171205"}, {"ref": "rakshith1/probe-sampling-rate", "kernel_id": "11497224"}, {"ref": "rakshith1/probing-test-set", "kernel_id": "11397960"}, {"ref": "tanulsingh077/audio-albumentations-transform-your-audio", "kernel_id": "11398541"}, {"ref": "kbrajwani/tensorflow-birdcall-tpu", "kernel_id": "11082183"}, {"ref": "kbrajwani/tensorflow-birdcall-custom-data-loader-tf-record", "kernel_id": "11151494"}, {"ref": "kbrajwani/tensorflow-birdcall-vggish", "kernel_id": "11168231"}, {"ref": "indronil2489/audio-data", "kernel_id": "11079330"}, {"ref": "jainarindam/learn-with-3d-spectogram", "kernel_id": "11324840"}, {"ref": "ricafernandes/data-scientists-cluster-cornell-birdcall-identif", "kernel_id": "11357786"}, {"ref": "vineeth1999/fork-of-training-birdsong-baseline-resne-71366b", "kernel_id": "11434219"}, {"ref": "karam123/mfcc-features", "kernel_id": "11218707"}, {"ref": "deepankarchakraborty/birdsong-baseline-resnest50-fast", "kernel_id": "11044886"}, {"ref": "arnimen5/new-audio-analysis-and-eda", "kernel_id": "11295722"}, {"ref": "skpyahoo/birdsong-recognition-eda-fe-cp", "kernel_id": "11769030"}, {"ref": "smodad/concatenating-wav-files-with-ffmpeg-and-python", "kernel_id": "11717699"}, {"ref": "doanquanvietnamca/inference-eff2w-ogru", "kernel_id": "11208815"}, {"ref": "doanquanvietnamca/effnet-rnn-sed-mixup", "kernel_id": "11208567"}, {"ref": "doanquanvietnamca/training-resnet38-rnn-activation-baseline", "kernel_id": "11109610"}, {"ref": "doanquanvietnamca/difference-birdcall-augmentation", "kernel_id": "11087900"}, {"ref": "vlomme/surfin-bird-2nd-place", "kernel_id": "11759565"}, {"ref": "sagar7390/simple-eda-on-birdcall", "kernel_id": "11389221"}, {"ref": "rguo97/bird-ensemble", "kernel_id": "11621511"}, {"ref": "ajaykumar7778/efficient-net-tpu-train", "kernel_id": "11446103"}, {"ref": "ajaykumar7778/training-efficientnet-model-244561", "kernel_id": "11481988"}, {"ref": "namanj27/intro-to-audio-transformations-and-functions-torch", "kernel_id": "11285804"}, {"ref": "jrmysvr/birdcall-identification", "kernel_id": "11168468"}, {"ref": "rocky03/birdcall-eda-fe-and-silence-removal", "kernel_id": "11631287"}, {"ref": "meckdahl/zobirdfinder8b", "kernel_id": "11137738"}, {"ref": "drhouse3/bird-call", "kernel_id": "11191416"}, {"ref": "shaft49/birdcall-identifier-pytorch-cornell", "kernel_id": "11834971"}, {"ref": "elvinagammed/load-pretrained-keras-model", "kernel_id": "11628116"}, {"ref": "elvinagammed/download-csv-file-from-kernel-as-link-kaggle", "kernel_id": "11445859"}, {"ref": "haradaai/denoise-and-layersound", "kernel_id": "11411582"}, {"ref": "mclikmb4/birdcall-tpu-resnet50", "kernel_id": "11537843"}, {"ref": "hatenahatena/birdcall-resnet-baseline", "kernel_id": "11394329"}, {"ref": "thailssonclementino/process-data-cbr", "kernel_id": "11248097"}, {"ref": "thailssonclementino/segmentation-algorithm", "kernel_id": "11295043"}, {"ref": "mrhippo/generating-bird-sound-with-simple-gans", "kernel_id": "11243291"}, {"ref": "mrhippo/introduction-to-sound-analysis-with-cornell-data", "kernel_id": "11275985"}, {"ref": "mrhippo/introduction-to-sound-analysis", "kernel_id": "11145778"}, {"ref": "vibrat/cornell-bird-sounds-model-training", "kernel_id": "11456110"}, {"ref": "vibrat/cornell-bird-sounds-preprocessing", "kernel_id": "11336087"}, {"ref": "crazymagicdata/simple-sqllite-backed-key-value-store-for-features", "kernel_id": "11315369"}, {"ref": "enukuro/108th-place-solution-birdcall-keras-tpu", "kernel_id": "11872408"}, {"ref": "vadimtimakin/catboost-pipeline-with-librosa-features", "kernel_id": "11665802"}, {"ref": "vadimtimakin/librosa-feature-generation", "kernel_id": "11650973"}, {"ref": "timothyalexjohn/birdsong-classifier-keras-cnn-part-2-notebook-1", "kernel_id": "11029771"}, {"ref": "timothyalexjohn/birdsong-classifier-keras-cnn-part-1-notebook-1", "kernel_id": "11002649"}, {"ref": "timothyalexjohn/birdsong-classifier-keras-cnn-part-3-notebook-1", "kernel_id": "11125493"}, {"ref": "timothyalexjohn/birdsong-classifier-keras-cnn-debugger-notebook-1", "kernel_id": "11400662"}, {"ref": "chandrimad31/identifying-birdcalls-audio-processing", "kernel_id": "11447504"}, {"ref": "leodav/resnest50-gru-att-v6-v7-10-4-equal", "kernel_id": "11782448"}, {"ref": "tmurakami/birdcall", "kernel_id": "11414343"}, {"ref": "divyosmi2009/bird-call-recognition-eda-and-prediction", "kernel_id": "11054082"}, {"ref": "salmanfaroz/audio-plotting-and-analysis", "kernel_id": "11164187"}, {"ref": "taguchi3333/study-sound", "kernel_id": "11255200"}, {"ref": "borissa/submission", "kernel_id": "11386834"}, {"ref": "borissa/stacking", "kernel_id": "11418378"}, {"ref": "borissa/inceptionnet-v3", "kernel_id": "11523462"}, {"ref": "michelbrabants/submission-bird-1", "kernel_id": "11745034"}, {"ref": "aravrs/audio-analysis-and-augmentation-demo", "kernel_id": "11251848"}, {"ref": "gzl0506/training-aug-0901-add-noise-2", "kernel_id": "11481543"}, {"ref": "gzl0506/training-aug-0911-add-noise-fold1-ext-3", "kernel_id": "11682008"}, {"ref": "gzl0506/training-aug-0912-add-noise-fold2-ext-3", "kernel_id": "11682054"}, {"ref": "gzl0506/inference-0914-oof6", "kernel_id": "11726568"}, {"ref": "egrinstein/birdcall-classification-27th-place-solution", "kernel_id": "12340003"}, {"ref": "sarak911/model-birds-identification", "kernel_id": "12113752"}, {"ref": "ukveteran/denoising-and-fragmentation-jma", "kernel_id": "12623943"}, {"ref": "christofel04/audio-recognition-advance", "kernel_id": "12076777"}, {"ref": "piaiai/eda-for-birdsongs", "kernel_id": "12672137"}, {"ref": "tanvithanekar/audio-data-analysis-using-librosa", "kernel_id": "12261430"}, {"ref": "minghsiuyo/notebook2f25b5dcbd", "kernel_id": "12561137"}, {"ref": "blestelclmence/notebook4fd7989cad", "kernel_id": "12879720"}, {"ref": "valeriem/neural-networks-birdcall", "kernel_id": "13354747"}, {"ref": "noelmat/fastchai-training-kernel", "kernel_id": "13087506"}, {"ref": "noelmat/notebook6bf4ed07cf", "kernel_id": "13117299"}, {"ref": "truthr/notebook95abd237a1", "kernel_id": "13060535"}, {"ref": "marysudyarova/trying-to-augmentation", "kernel_id": "13279201"}, {"ref": "marysudyarova/simple-pytorch-starter", "kernel_id": "13282271"}, {"ref": "runiaa/trying-to-build-submussion", "kernel_id": "13082719"}, {"ref": "runiaa/trying-to-augmentation", "kernel_id": "13081145"}, {"ref": "hypnotu/melspectrograms-with-librosa-in-english", "kernel_id": "14554254"}, {"ref": "thailssonclementino/melspectrograms-with-nvidia-s-data-loading", "kernel_id": "14532048"}, {"ref": "thailssonclementino/melspectrograms-with-librosa", "kernel_id": "14529928"}, {"ref": "imeintanis/metric-explained-row-wise-micro-averaged-f1", "kernel_id": "15960108"}, {"ref": "ahanchatterjee/noise-reduction-cornell-birdcall-ahan-chatterjee", "kernel_id": "15232299"}, {"ref": "maximvlah/migration-patterns-morning-vs-night-birds", "kernel_id": "16000607"}, {"ref": "zelinwang/introduction-to-sound-event-detection", "kernel_id": "16903396"}, {"ref": "kingabzpro/asr-mp3-to-wav-dataset", "kernel_id": "16192890"}, {"ref": "dtwilight/cornell-birdcall-identification-1st-place-solution", "kernel_id": "16517811"}, {"ref": "fraank/birdclef-2021-training", "kernel_id": "17229551"}, {"ref": "fraank/birdclef-2021-testing", "kernel_id": "17229715"}, {"ref": "stpeteishii/bird-song-basic-visualization-by-librosa", "kernel_id": "17247038"}, {"ref": "rudramanidubey/audioextractionandmetadata", "kernel_id": "17239390"}, {"ref": "shreyasajal/audio-albumentations-torchaudio-audiomentations", "kernel_id": "17112339"}, {"ref": "shreyasajal/birdclef-librosa-audio-feature-extraction", "kernel_id": "17042836"}, {"ref": "vishnugopakumar/notebook184d2b297a", "kernel_id": "17506460"}, {"ref": "muhammadzubairkhan92/birdclef-2021-librosa-audio-feature-extraction", "kernel_id": "17419460"}, {"ref": "darkravager/inference-bird-simple-baseline", "kernel_id": "17281549"}, {"ref": "darkravager/fork-of-inference-theo-15184c", "kernel_id": "17281057"}, {"ref": "ibraheemmoosa/birdsong-spectogram-generation", "kernel_id": "18638827"}, {"ref": "anujattri/birdcall-noise-reduction", "kernel_id": "18138529"}, {"ref": "sollytarek/notebookec8646b8d4", "kernel_id": "20162043"}, {"ref": "bishoyrefaat121/notebookec8646b8d4", "kernel_id": "20032911"}, {"ref": "final837/cochleagram-img-10-384", "kernel_id": "20157124"}, {"ref": "nilaychauhan/convert-cornell-birdcall-recognition-to-tfrecords", "kernel_id": "21158969"}, {"ref": "mathisdasilva/cornell-bird-sounds-model-training", "kernel_id": "22589888"}, {"ref": "claranav/projet-mlb-rastello-heinry-navarro", "kernel_id": "22114028"}, {"ref": "mathisdasilva/cornell-bird-sounds-preprocessing", "kernel_id": "23480846"}, {"ref": "claranav/projet-mlb-oiseaux-rastello-heinry-navarro", "kernel_id": "23636226"}, {"ref": "nilaychauhan/cornell-birdcall-audio-recognition-using-jax-flax", "kernel_id": "24725241"}, {"ref": "zaevroman/bird-challenge", "kernel_id": "24793236"}, {"ref": "mikeka/paulobird", "kernel_id": "25933026"}, {"ref": "sagniksanyal/birdclef-2022-torchaudio-audiomentations-skimpy", "kernel_id": "25625685"}, {"ref": "yuxinzhu1121762/research", "kernel_id": "26770102"}, {"ref": "kuaileqingwa/eda-for-birdclef-2022", "kernel_id": "26393856"}, {"ref": "kuaileqingwa/fork-of-eda-for-birdclef-2022", "kernel_id": "26526997"}, {"ref": "aryamangautam99/trying-noise-reduction", "kernel_id": "30277309"}, {"ref": "dipta007/inference-cbirdcall-2", "kernel_id": "31981709"}, {"ref": "themufid/rodhifaisalmufid", "kernel_id": "32399753"}, {"ref": "coldpumpkin/mfcc-feature-extraction-classification-and-eda", "kernel_id": "33289720"}, {"ref": "dtenyktym/sample-submission-using-custom-check", "kernel_id": "34679151"}, {"ref": "malvikakoushik2002/audio-data-analysis", "kernel_id": "34809751"}, {"ref": "obsedian/bird-audio-classification-with-tensorflow", "kernel_id": "35432298"}, {"ref": "rachanarn/notebook10", "kernel_id": "35797571"}, {"ref": "awsaf49/birdclef23-pretraining-is-all-you-need-train", "kernel_id": "36187143"}, {"ref": "ineedacat/data-preprocessing", "kernel_id": "36645196"}, {"ref": "debpritamroy/birdvoiceclassification", "kernel_id": "36226403"}, {"ref": "debpritamroy/fork-of-birdvoiceclassification", "kernel_id": "36279045"}, {"ref": "aikhmelnytskyy/birdclef23-train-convnext-problem", "kernel_id": "37448978"}, {"ref": "leehann/birdclef-21-2nd-place-model-pretrain", "kernel_id": "37528690"}, {"ref": "debpritamroy/recognition", "kernel_id": "37763837"}, {"ref": "debpritamroy/birdvoicercognition", "kernel_id": "37793316"}, {"ref": "debpritamroy/fork-of-birdvoicercognition", "kernel_id": "38010007"}, {"ref": "kaikhrug/khrugbird-beta", "kernel_id": "39360969"}, {"ref": "zhaoaxi/inference-theo", "kernel_id": "39932763"}, {"ref": "arunodhayan/kaggle-ai-report-birdclef-series-2019-2023", "kernel_id": "40118313"}, {"ref": "zakariajoudar/audio-signal-processing-librosa", "kernel_id": "40885224"}, {"ref": "mioojima/birdcnn-ver2", "kernel_id": "41711583"}, {"ref": "mioojima/birdlstm-ver2", "kernel_id": "41702361"}, {"ref": "mioojima/bird-lstm", "kernel_id": "41685857"}, {"ref": "mioojima/notebook71fb0da17a", "kernel_id": "41693158"}, {"ref": "souradippal/birdclef23-pretraining-is-all-you-need-train", "kernel_id": "41372196"}, {"ref": "kunalpurkayastha/audio-compression-masking", "kernel_id": "43584937"}, {"ref": "kejunkang/birdclef-21-2nd-place-model-pretrain", "kernel_id": "43758674"}, {"ref": "ngochannn/inference-pytorch-birdcall-resnet-baseline", "kernel_id": "45536934"}, {"ref": "lyrisxu/notebookbc95f40f96", "kernel_id": "46867833"}, {"ref": "uyfygh/ml-mini-project", "kernel_id": "47053856"}, {"ref": "cyclobs123/competition-4", "kernel_id": "47031505"}, {"ref": "stesha379/pytorch-birdcall-recording", "kernel_id": "47135711"}, {"ref": "piyushc04/birdcall", "kernel_id": "48950568"}, {"ref": "akshaych123321/final-model-kaggle", "kernel_id": "49079098"}, {"ref": "viralchitlangia/birdnote", "kernel_id": "49255748"}, {"ref": "manas1811/fe-chirp", "kernel_id": "49351679"}, {"ref": "manas1811/eda-final", "kernel_id": "49239548"}, {"ref": "shrastisahu/shrasti-finalmodel", "kernel_id": "49410781"}, {"ref": "mohan22iitk/mohan-220656", "kernel_id": "49403201"}, {"ref": "pranshuk23/chirp-eda-and-fe", "kernel_id": "49394244"}, {"ref": "pranshuk23/chirp-final-model", "kernel_id": "49396273"}, {"ref": "anshikamittal05/final-project", "kernel_id": "49258691"}, {"ref": "kuldeepthakare/final-model-chirp-part-2", "kernel_id": "49265413"}, {"ref": "kuldeepthakare/final-model-chirp-part1", "kernel_id": "49105035"}, {"ref": "aashutosh22/final-submission-birdsong-recoginition", "kernel_id": "49397367"}, {"ref": "sofiyaans/inference-pytorch-birdcall-resnet-baseline", "kernel_id": "49312185"}, {"ref": "sofiyaans/sofiyaan-hoja-bhai", "kernel_id": "49277994"}, {"ref": "sofiyaans/sofiyaan-notebook-2", "kernel_id": "49272433"}, {"ref": "sofiyaans/fegcjjbku", "kernel_id": "49269075"}, {"ref": "sofiyaans/sofiyaan-notebook1-eda", "kernel_id": "49279908"}, {"ref": "sofiyaans/sofiyaan-finalmodel-eda", "kernel_id": "49198704"}, {"ref": "jasrajsd/birdsong-final-model", "kernel_id": "49401454"}, {"ref": "sanyam6466/sanyam-final-submission-220971", "kernel_id": "49399852"}, {"ref": "rithwin/220537-finalproject", "kernel_id": "49391926"}, {"ref": "rithwin/220537-final-project", "kernel_id": "49389763"}, {"ref": "sarrvesh/final-model", "kernel_id": "49170076"}, {"ref": "akankshawattamwar/final-model", "kernel_id": "49219317"}, {"ref": "samarthagarwal06/final-model", "kernel_id": "49009752"}, {"ref": "krisgg/fe-krishiv", "kernel_id": "49327610"}, {"ref": "krisgg/final-model-krishiv", "kernel_id": "49301326"}, {"ref": "rachitagarwal6105/230820-model", "kernel_id": "49265546"}, {"ref": "rachitagarwal6105/230820-fe-eda", "kernel_id": "49064004"}, {"ref": "pekkapie/final-mod-fe", "kernel_id": "49328034"}, {"ref": "pekkapie/final-mod-neuralnet", "kernel_id": "49328945"}, {"ref": "pekkapie/fork-of-final-mod-neuralnet", "kernel_id": "49329269"}, {"ref": "pekkapie/final-mod-eda", "kernel_id": "49328593"}, {"ref": "madhavlata/notebook373750a876", "kernel_id": "49110078"}, {"ref": "abhishekm928/notebookaa2b717d44", "kernel_id": "49278051"}, {"ref": "abhishekm928/abhishek-kumar-220046", "kernel_id": "49271498"}, {"ref": "bhavik220293/bhavik-220293", "kernel_id": "49132900"}, {"ref": "devdharp/220348-final-project", "kernel_id": "49406137"}, {"ref": "chiranjivihole/birds-voice-recognition", "kernel_id": "50020163"}, {"ref": "ddsereindd/visualization-of-cbi", "kernel_id": "51839905"}, {"ref": "jluwaterbrother/introduction-to-sound-event-detection", "kernel_id": "53191352"}, {"ref": "aikhmelnytskyy/birdclef24-pretraining-is-all-you-need", "kernel_id": "54066587"}, {"ref": "aadarshbhalerao/final-draft", "kernel_id": "54836100"}, {"ref": "docxian/birdclef-2024-birds-geography", "kernel_id": "55301669"}, {"ref": "vinitkp/data-visualization-and-sound-processing-tutorial", "kernel_id": "57479804"}, {"ref": "rishi2003das/audio-data-analysis", "kernel_id": "57197376"}, {"ref": "liuyixijia/birdclef24-pretraining-is-all-you-need909909", "kernel_id": "58640705"}, {"ref": "liuyixijia/birdclef24-ikun-pretraining-is-all-you-need-002", "kernel_id": "58517400"}, {"ref": "liuyixijia/909birdclef24-ikun-pretraining-is-all-you-nee", "kernel_id": "58690764"}, {"ref": "liuyixijia/fork-of-909birdclef24-ikun-pretraining-is-all-you", "kernel_id": "58724351"}, {"ref": "wengsilu/newbirdclef24pretraining", "kernel_id": "58975535"}, {"ref": "skanderkaroui/birdclef24-skander-s-attempt-train", "kernel_id": "58535798"}, {"ref": "saeedahmed1/mfcc-feature-extraction-from-audio", "kernel_id": "62688207"}, {"ref": "krisssa/sed-duck", "kernel_id": "65562101"}, {"ref": "trixmixing1ai/birds-sounds-eda-spotify-urban-sound-eda", "kernel_id": "71222806"}, {"ref": "youknowjp/bird-species-vocal-detection", "kernel_id": "72222730"}, {"ref": "dangminhtuan/introduction-to-sound-event-detection", "kernel_id": "74337081"}, {"ref": "ephremtamirumekonnen/meetin4introduction-to-sound-event-detection", "kernel_id": "74770820"}, {"ref": "youknowjp/cornell-bird-lab-bioacoustics", "kernel_id": "76418859"}, {"ref": "maxhcmus/cornell-bird-lab-bioacoustics", "kernel_id": "76959574"}, {"ref": "maxnguyen999/bird-classification-v1", "kernel_id": "77744224"}, {"ref": "seshurajup/birdclef-2020-2025-all-training-extra-npy-dataset", "kernel_id": "78317615"}, {"ref": "vazeerahmed/usha-bird-call-final", "kernel_id": "79942190"}, {"ref": "ushasreepayani/usha-bird-call-final", "kernel_id": "81978264"}, {"ref": "wangningfei/efficientnet-b0-pytorch-inference-wang", "kernel_id": "81436331"}, {"ref": "garystar/efficientnet-b0-pytorch-inference-birdc-356204", "kernel_id": "81450370"}, {"ref": "georgeokello/bird-species-classification-from-audio-recordings", "kernel_id": "89745349"}, {"ref": "bharatbhusanbiswal/birdgen-1-getting-the-data", "kernel_id": "89614876"}, {"ref": "ndeepanbalaji/ie643-1", "kernel_id": "135127605"}, {"ref": "sachalafargue/projet-oiseau", "kernel_id": "135815364"}]}
{"competition_id": "19608", "kernels": []}
{"competition_id": "19610", "kernels": []}
{"competition_id": "19612", "kernels": []}
{"competition_id": "19613", "kernels": []}
{"competition_id": "19620", "kernels": []}
{"competition_id": "19622", "kernels": [{"ref": "nooma42/ma-hw2", "kernel_id": "9028001"}, {"ref": "ntuopsanalyticslabta/ma-hw2", "kernel_id": "9228078"}, {"ref": "enruliu/ass2-final", "kernel_id": "9080371"}]}
{"competition_id": "19626", "kernels": []}
{"competition_id": "19628", "kernels": []}
{"competition_id": "19629", "kernels": [{"ref": "kuantinglai/108-2-dl-app-hw1-demo", "kernel_id": "8536156"}]}
{"competition_id": "19631", "kernels": []}
{"competition_id": "19635", "kernels": [{"ref": "planewalker/clip-count-multi-resnet-model-approach", "kernel_id": "8929310"}]}
{"competition_id": "19640", "kernels": [{"ref": "mika30/nyc-taxi-trip-duration-prediction", "kernel_id": "9404578"}]}
{"competition_id": "19646", "kernels": []}
{"competition_id": "19652", "kernels": []}
{"competition_id": "19654", "kernels": []}
{"competition_id": "19658", "kernels": []}
{"competition_id": "19670", "kernels": []}
{"competition_id": "19671", "kernels": []}
{"competition_id": "19678", "kernels": [{"ref": "djanderson07/vip2-run-time", "kernel_id": "8915913"}, {"ref": "djanderson07/lab-4-feature-engineering-key", "kernel_id": "9047566"}, {"ref": "djanderson07/lab-4-feature-engineering", "kernel_id": "9072121"}, {"ref": "kathrynrdenning/preliminary-fit-2", "kernel_id": "9499293"}, {"ref": "kathrynrdenning/fork-of-preliminary-fit-2", "kernel_id": "9558396"}, {"ref": "christopherloan/edld-610-lab-4-feature-engineering", "kernel_id": "9193860"}, {"ref": "christopherloan/cullen-bedford-peterson-loan-final", "kernel_id": "9764638"}, {"ref": "bcullen/edld-610-lab-4-feature-engineering", "kernel_id": "9214375"}, {"ref": "kochoa/lab-4-feature-engineering", "kernel_id": "9195871"}, {"ref": "kochoa/preliminary-fit-2-final", "kernel_id": "9558842"}, {"ref": "tamaraniella/preliminary-fit-2-final", "kernel_id": "9558529"}, {"ref": "zhaoyufei/lab-4-feature-engineering", "kernel_id": "9195730"}]}
{"competition_id": "19680", "kernels": []}
{"competition_id": "19690", "kernels": [{"ref": "egorandreasyan/result-0-41", "kernel_id": "58362598"}]}
{"competition_id": "19693", "kernels": []}
{"competition_id": "19699", "kernels": []}
{"competition_id": "19702", "kernels": [{"ref": "andrewcharles/prediction-challenge-sir-country", "kernel_id": "8502938"}, {"ref": "andrewcharles/forecasting-week-2", "kernel_id": "8686225"}, {"ref": "danevans/covid-19-global-week-2-logistic-curve-fitting", "kernel_id": "8697494"}, {"ref": "danevans/covid-19-week-2-global", "kernel_id": "8604802"}, {"ref": "benhamner/no-new-cases-baseline-covid-19-week-2-global", "kernel_id": "8590324"}, {"ref": "yatinece/exp-new-week", "kernel_id": "8594269"}, {"ref": "yatinece/exp-model-to-state-of-city-or-country-all-data", "kernel_id": "8530342"}, {"ref": "gaborfodor/covid-19-a-few-charts-and-a-simple-baseline", "kernel_id": "8705542"}, {"ref": "gaborfodor/covid19-global-forecasting-top-submissions", "kernel_id": "8837329"}, {"ref": "philippsinger/cv19w2-pl4-sub", "kernel_id": "8710514"}, {"ref": "dimaquick/kernel303a0b031a", "kernel_id": "8602975"}, {"ref": "mathseer/lgb-mad-w4", "kernel_id": "8699068"}, {"ref": "raffdoc/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8626879"}, {"ref": "cpmpml/lr-010", "kernel_id": "8704428"}, {"ref": "cpmpml/fatalities-prediction-via-linear-regression", "kernel_id": "8725624"}, {"ref": "nxpnsv/covid19-week2", "kernel_id": "8699995"}, {"ref": "dott1718/cv19w2-2-sub", "kernel_id": "8710237"}, {"ref": "pietromarinelli/new-pp-double-model-public-private", "kernel_id": "8710880"}, {"ref": "pietromarinelli/double-model-public-private", "kernel_id": "8700898"}, {"ref": "asimjalis/covid19-global-forecasting-week-2", "kernel_id": "8603592"}, {"ref": "skeller/arima-influenza-baselines", "kernel_id": "8603749"}, {"ref": "skeller/sprawling-cov-fastai", "kernel_id": "8604232"}, {"ref": "skeller/rolling-grip", "kernel_id": "8689340"}, {"ref": "skeller/covid-19-a-few-charts-and-a-simple-baseline", "kernel_id": "8712497"}, {"ref": "skeller/arima-for-forecasting-competitor-in-week-2", "kernel_id": "8712160"}, {"ref": "skeller/covid19-lightgbm", "kernel_id": "8705650"}, {"ref": "skeller/lgb-clone", "kernel_id": "8686407"}, {"ref": "skeller/lgbt-and-arima-with-influenza-baselines", "kernel_id": "8656520"}, {"ref": "skeller/sars-cov-2-exponential-model-week-2", "kernel_id": "8642898"}, {"ref": "skeller/arima-influenza-baselines-9cc709", "kernel_id": "8635514"}, {"ref": "js942106361/covid-19-world-week2-modified-sir", "kernel_id": "8605304"}, {"ref": "kazanova/gbr-train", "kernel_id": "8704017"}, {"ref": "kazanova/gr1621-v2", "kernel_id": "8703218"}, {"ref": "rohanrao/covid-19-w2-lgb-mad", "kernel_id": "8611214"}, {"ref": "liangpang/prediction-week2", "kernel_id": "8698757"}, {"ref": "skorsun/sars-cov-2-exponential-model-week-2", "kernel_id": "8627774"}, {"ref": "taihsienouyang/covid19-week2-xgboost-log", "kernel_id": "8640662"}, {"ref": "bpavlyshenko/bayesian-model-for-covid-19-spread-prediction", "kernel_id": "8684210"}, {"ref": "ericfreeman/kernel436b72c212", "kernel_id": "8695797"}, {"ref": "autokad/wg-feature", "kernel_id": "8600338"}, {"ref": "optimo/covid19-enriched-dataset-week-2", "kernel_id": "8592484"}, {"ref": "orzhiang/covid19-001-s0-estimation", "kernel_id": "8652117"}, {"ref": "orzhiang/covid19-000-data-preparation", "kernel_id": "8623382"}, {"ref": "priteshshrivastava/arima-influenza-baselines", "kernel_id": "8631106"}, {"ref": "priteshshrivastava/sars-cov-2-exponential-model-week-2", "kernel_id": "8631422"}, {"ref": "priteshshrivastava/2nd-week-prediction", "kernel_id": "8632896"}, {"ref": "vasistgn/covid-19-prediction-with-adaboost-ensemble", "kernel_id": "8652049"}, {"ref": "cpthappy/fork-of-test-exploration", "kernel_id": "8671133"}, {"ref": "xscripter/kernel5a56ead524", "kernel_id": "8654807"}, {"ref": "xscripter/kernel28bfc1c377", "kernel_id": "8637223"}, {"ref": "ashishdutt/covid19-starter-week2", "kernel_id": "8595233"}, {"ref": "chrisholmes1/covid-19-week-2-notebook", "kernel_id": "8709922"}, {"ref": "yohancheong/predicting-covid-19-infections-with-lstm", "kernel_id": "8642384"}, {"ref": "uvinetz/week-2-submission", "kernel_id": "8685291"}, {"ref": "chriscc/covid-ab-optimization", "kernel_id": "8649821"}, {"ref": "super13579/covid-19-global-forecast-seir-visualize", "kernel_id": "8554094"}, {"ref": "super13579/covid-19-global-forecast-seir-visualize-w3", "kernel_id": "8678164"}, {"ref": "amineteffal/simple-arima-model", "kernel_id": "8685062"}, {"ref": "amineteffal/scripts-aminos-week-2", "kernel_id": "8644288"}, {"ref": "chantalolieman/fhl2020", "kernel_id": "8667455"}, {"ref": "janosk21/covid-19-forecasting-lstm-v1", "kernel_id": "8701171"}, {"ref": "janosk21/covid-19-basic-model-not-leaky", "kernel_id": "8710321"}, {"ref": "chemicaltoilet/covid-week2", "kernel_id": "8693526"}, {"ref": "lnmkey68/kernel4af8e7b577", "kernel_id": "8655144"}, {"ref": "lnmkey68/kernel17bb293b3f", "kernel_id": "8630977"}, {"ref": "magnuslarsson/kernel43f96abf19", "kernel_id": "8710137"}, {"ref": "ricardorios/world-holt", "kernel_id": "8710094"}, {"ref": "amezet/covid-19-global-forecast-seir-visualize-math", "kernel_id": "8672851"}, {"ref": "chrischow/week-2-submissions", "kernel_id": "8631541"}, {"ref": "sasrdw/gbt1u", "kernel_id": "8710564"}, {"ref": "sasrdw/gbt1n", "kernel_id": "8707202"}, {"ref": "irfanazeem/covid19-eda-interactive-plots-xgboost", "kernel_id": "8649708"}, {"ref": "algonell/covid-19-series-poly-fit-w2", "kernel_id": "8629350"}, {"ref": "udendran/kernel24087a3c97", "kernel_id": "8626066"}, {"ref": "deepaksadulla/forecast-using-r-2020-04-02", "kernel_id": "8711404"}, {"ref": "tunguz/covid-19-a-few-charts-and-a-simple-baseline", "kernel_id": "8711279"}, {"ref": "tunguz/simple-covid-19-global-eda-week-2", "kernel_id": "8676124"}, {"ref": "anjum48/seir-hcd-model", "kernel_id": "8496082"}, {"ref": "pararols/sars-cov-2-exponential-model-week-2", "kernel_id": "8676289"}, {"ref": "jacksmd12/problem-2-covid19-global-forecasting", "kernel_id": "8877866"}, {"ref": "group16/sigmoid-per-country-no-leakage", "kernel_id": "8489649"}, {"ref": "nsaleille/global-randomforestclassifier-enriched-finetuned", "kernel_id": "8670523"}, {"ref": "nsaleille/06-global-gradientboostingregressor-enriched", "kernel_id": "8673524"}, {"ref": "nsaleille/global-randomforestclassifier-baseline", "kernel_id": "8651073"}, {"ref": "bastienhaller/testrun", "kernel_id": "8705828"}, {"ref": "aerdem4/covid-19-basic-model-not-leaky", "kernel_id": "8474718"}, {"ref": "aerdem4/covid19-w2-final", "kernel_id": "8711261"}, {"ref": "aerdem4/covid19-w2-final-v2", "kernel_id": "8711765"}, {"ref": "aerdem4/covid-w2-nn-submission", "kernel_id": "8704050"}, {"ref": "zhengli0817/lroger-covid19-global-forecasting-week-2-lgbm", "kernel_id": "8601137"}, {"ref": "edonlon/covid19-visualisations", "kernel_id": "8701232"}, {"ref": "mlanier/covid-rca-caret", "kernel_id": "8739217"}, {"ref": "corochann/covid-19-effect-of-temperature-humidity", "kernel_id": "8604361"}, {"ref": "corochann/covid-19-spread-situation-by-prefecture-in-japan", "kernel_id": "8626131"}, {"ref": "jordimas/sir-models-fitted-with-differential-evolution", "kernel_id": "8704349"}, {"ref": "ankt24/covid-eda-lin-reg-week2", "kernel_id": "8708120"}, {"ref": "mystery/seir-hcd-model", "kernel_id": "8712052"}, {"ref": "mystery/covid-19-week-2-xgboost-lightgbm", "kernel_id": "8646220"}, {"ref": "lcamposgarrido/covid-19", "kernel_id": "8654094"}, {"ref": "rayhuang/covid-19-global-forecast-randomforest", "kernel_id": "8625834"}, {"ref": "dgrechka/submission-compiler", "kernel_id": "8690777"}, {"ref": "fmobrj1975/first-experiments", "kernel_id": "8627317"}, {"ref": "fmobrj1975/deep-2-day-out", "kernel_id": "8681945"}, {"ref": "fmobrj1975/model-inference-2day", "kernel_id": "8682800"}, {"ref": "fmobrj1975/first-model-inference", "kernel_id": "8670912"}, {"ref": "rejpalcz/sars-cov-2-exponential-model-week-2", "kernel_id": "8706656"}, {"ref": "deshmane/kernel1220a6465e", "kernel_id": "8607463"}, {"ref": "deshmane/covid19-eda-typical-curves", "kernel_id": "8631429"}, {"ref": "mauddib/kernel5ac11a8333", "kernel_id": "8642163"}, {"ref": "mauddib/covid-19-logistic-curve-fitting-and-submission", "kernel_id": "8645396"}, {"ref": "robikscube/rob-s-covid19-week-2-submission-less-aggressive", "kernel_id": "8708573"}, {"ref": "robikscube/rob-s-covid19-week-2-submission", "kernel_id": "8653599"}, {"ref": "robikscube/rob-s-covid19-week-3-submission", "kernel_id": "8809697"}, {"ref": "yilmazalp/covid19-2", "kernel_id": "8632526"}, {"ref": "silentviper/covid-19-novel-corona-virus-daily-infection-rate", "kernel_id": "8526702"}, {"ref": "nonserial/covid19-week2-worldbank-api", "kernel_id": "8628467"}, {"ref": "nonserial/covid19-week-2-eda-using-worldbank-api-data", "kernel_id": "8629483"}, {"ref": "oksanasem/data-prep", "kernel_id": "8690699"}, {"ref": "oksanasem/covid19-eda-interactive-plots-xgboost", "kernel_id": "8711196"}, {"ref": "yuzusan/initial-draft", "kernel_id": "8650640"}, {"ref": "casras/covid19-week2-data-consistency-check", "kernel_id": "8618818"}, {"ref": "casras/covid19-week3-exponential-curve-fit", "kernel_id": "8653990"}, {"ref": "jasonbenner/fork-of-1d-cnn-redo", "kernel_id": "8675865"}, {"ref": "charlesxjyang/covid19-global-forecasts-using-probabilistic-rnns", "kernel_id": "8692160"}, {"ref": "zumbov/corona", "kernel_id": "8630493"}, {"ref": "zumbov/corona2", "kernel_id": "8711399"}, {"ref": "patricolee/covid19-global-week-2", "kernel_id": "8621745"}, {"ref": "yaroshevskiy/sars-cov-2-exponential-model-week-2", "kernel_id": "8706438"}, {"ref": "neilde/covid-19-eda-lstm", "kernel_id": "8677885"}, {"ref": "neilde/sars-cov-2-exponential-model-week-2", "kernel_id": "8669924"}, {"ref": "amitgairola/kernel216638044e", "kernel_id": "8621138"}, {"ref": "therealroman/kernel5a0e8d9b45", "kernel_id": "8711688"}, {"ref": "stecasasso/seir-hcd-model", "kernel_id": "8684601"}, {"ref": "stecasasso/blend", "kernel_id": "8710762"}, {"ref": "sarthakpawar/arima-for-forecasting", "kernel_id": "8592457"}, {"ref": "worldkeeping/week2-global-one-layer", "kernel_id": "8688087"}, {"ref": "auenwald/covid19-forcast-w2-fitting-a-logistic-curve", "kernel_id": "8611163"}, {"ref": "enric1296/covid-the-power-of-representations-rnn", "kernel_id": "8672391"}, {"ref": "samlester/covid-19-eda-lstm", "kernel_id": "8678201"}, {"ref": "ilialar/logcurve", "kernel_id": "8651962"}, {"ref": "marcusgawronsky/covid-19-dealing-with-government-policy", "kernel_id": "8906191"}, {"ref": "marcusgawronsky/covid-19-should-you-believe-confirmedcases", "kernel_id": "8644597"}, {"ref": "marcusgawronsky/covid-19-global-spatial-regression-model", "kernel_id": "8682712"}, {"ref": "osciiart/covid-19-lightgbm-no-leak", "kernel_id": "8595725"}, {"ref": "osciiart/smoking-kills", "kernel_id": "8687249"}, {"ref": "osciiart/covid-19-lightgbm-week-2", "kernel_id": "8822016"}, {"ref": "chvbs2000/curve-fitting-ac06c3", "kernel_id": "8708421"}, {"ref": "modoucair/exp-vs-logi-best-fit", "kernel_id": "8692073"}, {"ref": "atamazian/covid-19-week-2-xgboost-lightgbm", "kernel_id": "8688066"}, {"ref": "liuzhangzhen/arima-influenza-baselines", "kernel_id": "8622677"}, {"ref": "joemenifee/usa-analysis", "kernel_id": "8678558"}, {"ref": "hockmood/covid19-april-2020-forecast-basic-lstm-network", "kernel_id": "8600014"}, {"ref": "lawrencechen98/covid-19-exponential-decay-forecast-and-analysis", "kernel_id": "8677965"}, {"ref": "skyhuang/curve-fitting", "kernel_id": "8697339"}, {"ref": "pradeepmuniasamy/4ver-arima-2ver-xgboost-newbie", "kernel_id": "8706666"}, {"ref": "hhtun21/predict-remaining-days-before-reaching-peak", "kernel_id": "8638042"}, {"ref": "alicuye/ridge", "kernel_id": "8711750"}, {"ref": "alicuye/covid-global-forecast-baseline-by-ling", "kernel_id": "8692909"}, {"ref": "sadeka007/wk2-covid-19-global-forecasting", "kernel_id": "8687678"}, {"ref": "hendrip8/holt-winter-s-method", "kernel_id": "8614112"}, {"ref": "hendrip8/arima-method", "kernel_id": "8624282"}, {"ref": "rohitmidha23/covid2-attempt2", "kernel_id": "8698656"}, {"ref": "rohitmidha23/covid2-starter", "kernel_id": "8611263"}, {"ref": "apoorvm/rf-covid-19-2", "kernel_id": "8655742"}, {"ref": "luisverc/simple-exponential-extrapolations", "kernel_id": "8681009"}, {"ref": "sambitmukherjee/covid-19-data-adding-world-development-indicators", "kernel_id": "8611633"}, {"ref": "smartedaten/eda-we-should-focus-on-korea", "kernel_id": "8652331"}, {"ref": "kamalnaithani/covid-19-forecast", "kernel_id": "8662755"}, {"ref": "jyeti10/covid-19-regional-outlook", "kernel_id": "8617675"}, {"ref": "cuberti/covid-19-python-eda", "kernel_id": "8604003"}, {"ref": "aarthikannan/eda-of-covid-19", "kernel_id": "8619349"}, {"ref": "andregraubner/sir-models", "kernel_id": "8632964"}, {"ref": "sklasfeld/covid19-forescasting-week4-holt-v1", "kernel_id": "8620830"}, {"ref": "amoghjrules/covid-week-2", "kernel_id": "8662691"}, {"ref": "mm1931/covid-19-week-2-xgboost-lightgbm", "kernel_id": "8710966"}, {"ref": "anirudha16101/covid19-forecasting", "kernel_id": "8697586"}, {"ref": "ajaysamp/covid-19-xgboost", "kernel_id": "8701162"}, {"ref": "rhtsingh/the-novel-covid-19-digging-a-bit-deeper", "kernel_id": "8591628"}, {"ref": "anshuls235/covid19-eda-predictions", "kernel_id": "8628909"}, {"ref": "mehek1/covid-19-forecasting-with-lstms", "kernel_id": "8626797"}, {"ref": "sayan341/latent-component-model-covid-19", "kernel_id": "8679612"}, {"ref": "sayan341/latent-component-model-v2-covid-19", "kernel_id": "8707827"}, {"ref": "yuanquan/covid-19-prediction-by-country-and-province", "kernel_id": "8589309"}, {"ref": "ashora/4ver-arima-2ver-xgboost-newbie", "kernel_id": "8611767"}, {"ref": "akaash/covid-19-week-2-forcasting", "kernel_id": "8709172"}, {"ref": "monnniil/covid-19-week-2-forecasting-monil-shah", "kernel_id": "8647704"}, {"ref": "gkhazen/kernel761a2fbc11", "kernel_id": "8699888"}, {"ref": "khamalking/covid-19-forecasting-for-india-using-fbprophet", "kernel_id": "8706069"}, {"ref": "amarmind/covid-19-basic-eda", "kernel_id": "8616947"}, {"ref": "shashwats89/covid-19-week-2-compare", "kernel_id": "8635963"}, {"ref": "girish01/time-series-model", "kernel_id": "8655034"}, {"ref": "girish01/covid-19-eda-and-deep-analysis-using-visualization", "kernel_id": "8604602"}, {"ref": "mactom1980/kernel1377906b6d", "kernel_id": "8667757"}, {"ref": "sad9896/kernel216f463764", "kernel_id": "8659900"}, {"ref": "regismagnus/covid19-week2", "kernel_id": "8707432"}, {"ref": "mohitesh07/kernel402aed056d", "kernel_id": "8601098"}, {"ref": "mohitesh07/fork-of-kernel402aed056d", "kernel_id": "8678481"}, {"ref": "mohitesh07/fork-of-kernel402aed056d-450424", "kernel_id": "8678627"}, {"ref": "diamondsnake/covid-19-logistic-curve-fitting-and-correlation", "kernel_id": "8717412"}, {"ref": "diamondsnake/covid-19-logistic-curve-fitting-week-2", "kernel_id": "8668309"}, {"ref": "sixteenpython/covid-19-transmission-rates-and-factors-w2", "kernel_id": "8680067"}, {"ref": "stepstosuccess/ummmmm", "kernel_id": "8709784"}, {"ref": "thomastaus/kernel1fc3f3b55c", "kernel_id": "8639059"}, {"ref": "khoongweihao/covid-19-week-2-xgboost-lightgbm", "kernel_id": "8640194"}, {"ref": "rank23/kalman-filter-covid-19-t-1", "kernel_id": "8631873"}, {"ref": "rank23/kalman-filter-covid-19", "kernel_id": "8627644"}, {"ref": "joljol/covid19-lstm-embedding-for-latent-info-on-country", "kernel_id": "8671813"}, {"ref": "muhakabartay/sars-cov-2-exponential-model-week-2", "kernel_id": "8693288"}, {"ref": "muhakabartay/covid-19-a-few-charts-and-a-simple-baseline-f03715", "kernel_id": "8711477"}, {"ref": "dipesh17/xgbregressor", "kernel_id": "8646306"}, {"ref": "vbmokin/covid19-week-2-sir-model-ridge-regr", "kernel_id": "8711165"}, {"ref": "ebbygorg/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8701345"}, {"ref": "ebbygorg/covid-19-week-2-xgboost-lightgbm", "kernel_id": "8699396"}, {"ref": "ebbygorg/sars-cov-2-exponential-model-week-2", "kernel_id": "8699382"}, {"ref": "ebbygorg/4ver-arima-2ver-xgboost-newbie", "kernel_id": "8698428"}, {"ref": "abhia1999/kernel4d158f4665", "kernel_id": "8671619"}, {"ref": "vishalvjoseph/covid-19-updated", "kernel_id": "8711619"}, {"ref": "clarinetex/covid-19-starter-visualization-lstm-predictions", "kernel_id": "8683275"}, {"ref": "rashaddism/effect-of-temperature-humidity", "kernel_id": "8615001"}, {"ref": "acasti55/covid19-prediction-example-with-sir-model-italy", "kernel_id": "8648156"}, {"ref": "begehr/leocorona", "kernel_id": "8674790"}, {"ref": "begehr/scaling-and-translating-hubei-s-curve", "kernel_id": "8627707"}, {"ref": "jmtopple/jesscovid19kernel", "kernel_id": "8687219"}, {"ref": "smalldog3/covid19-forcast-test", "kernel_id": "8709287"}, {"ref": "smalldog3/kernel20b1b40b61", "kernel_id": "8709572"}, {"ref": "sharansmenon/covid-19-simple-forecasting", "kernel_id": "8598060"}, {"ref": "swatibansal08/covid19-global-forecasting-lstm", "kernel_id": "8676391"}, {"ref": "pdevine/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8639446"}, {"ref": "shamsvahid2/covid-week2-version2", "kernel_id": "8698955"}, {"ref": "shamsvahid2/covid-week2-xgboost", "kernel_id": "8652250"}, {"ref": "saksham123/velle-boys", "kernel_id": "8662694"}, {"ref": "letili0417/covid-19-eda-lstm-v1", "kernel_id": "8685734"}, {"ref": "letili0417/covid-19-week-2-xgboost", "kernel_id": "8697423"}, {"ref": "cliftonbaldwin/exponentialgrowth", "kernel_id": "8695995"}, {"ref": "petersorensen360/kernel40c24c2269", "kernel_id": "8704159"}, {"ref": "petersorensen360/kernel6984e17e21", "kernel_id": "8706295"}, {"ref": "akashsuper2000/sars-cov-2-exponential-model-week-2", "kernel_id": "8662334"}, {"ref": "akashsuper2000/arima-influenza-baselines-newbie", "kernel_id": "8662353"}, {"ref": "mobassir/covid-19-in-bangladesh", "kernel_id": "8769195"}, {"ref": "fraserew/covid-19-lstm-cases-fatalities-prediction", "kernel_id": "8705213"}, {"ref": "ukveteran/prophet-python-jma-covid19-week-2", "kernel_id": "8743787"}, {"ref": "ukveteran/sarima-time-series-eda-predict-jma-covid19-w2", "kernel_id": "8748538"}, {"ref": "lilylong/kernel139c05055c", "kernel_id": "8706608"}, {"ref": "twopebbles/ca-covid19-trends", "kernel_id": "8528977"}, {"ref": "dferhadi/covid19-population-feature-engineering", "kernel_id": "8614692"}, {"ref": "dferhadi/covid-19-time-series-starter-code", "kernel_id": "8635863"}, {"ref": "dferhadi/logistic-curve-fit-parameter-tuning", "kernel_id": "8642329"}, {"ref": "dferhadi/global-forecasting-covid-19-random-forest", "kernel_id": "8541199"}, {"ref": "dferhadi/logistic-curve-fitting-global-covid-19-confirmed", "kernel_id": "8541874"}, {"ref": "mehdi16/covid-19-week-2alternative", "kernel_id": "8668073"}, {"ref": "mehdi16/covid-19-w2-lgbm-based-on-non-cumulative-data", "kernel_id": "8632709"}, {"ref": "mehdi16/covid-19-week-2", "kernel_id": "8591720"}, {"ref": "rajaash/coronavirus-covid-19-forecasting-ongoing", "kernel_id": "8619909"}, {"ref": "marsel171/covid-19-week2", "kernel_id": "8609505"}, {"ref": "mehvishashiq/covid19-global-forecasting-w-2", "kernel_id": "8689318"}, {"ref": "aakashg1999/graphing", "kernel_id": "8676700"}, {"ref": "kashish2801/covid-19-week-2", "kernel_id": "8672759"}, {"ref": "gabrielmilan/covid-19-forecasting-with-lstm", "kernel_id": "8669813"}, {"ref": "shakewingo/covid-19-eda-lstm", "kernel_id": "8622669"}, {"ref": "nikhilmallela/corona19-multivariate-multi-step-stacked-lstm-test", "kernel_id": "8606622"}, {"ref": "gaurav146/covid-19-dv", "kernel_id": "8608270"}, {"ref": "nikschet/covid-19-prediction-by-country-gr-vs-pt", "kernel_id": "8666629"}, {"ref": "mahmudds/covid19-global-forecasting-week-2", "kernel_id": "8708118"}, {"ref": "jorijnsmit/population-and-sub-continent-for-every-entity", "kernel_id": "8591864"}, {"ref": "jorijnsmit/mathematical-solution-to-sigmoid-parameters", "kernel_id": "8602380"}, {"ref": "gopiyedla/covid-will-be-defeated", "kernel_id": "8598938"}, {"ref": "jorgechiles/cnn-kfold-recv1-2", "kernel_id": "8620048"}, {"ref": "aksh23/kernel231a0c7f1a", "kernel_id": "8698199"}, {"ref": "lzhu88/covid-week-2", "kernel_id": "8692693"}, {"ref": "debanga/covid-19-week2-eda", "kernel_id": "8708348"}, {"ref": "twhelan/code-to-create-an-enriched-dataset", "kernel_id": "8598209"}, {"ref": "atultaur/covid-19-forecasting", "kernel_id": "8767483"}, {"ref": "bachrr/covid-19-epidemiological-data-analysis", "kernel_id": "8605509"}, {"ref": "giginghn/covid19-analysis-eda-seir-model-predictions", "kernel_id": "8693229"}, {"ref": "ayushijain29/covid19-dataset", "kernel_id": "8595051"}, {"ref": "pilipeykogrisha/covid-2019-xgboost-lgb-ply", "kernel_id": "8642672"}, {"ref": "sulianova/covid-19-data-visualization-with-plotly", "kernel_id": "8632807"}, {"ref": "sulianova/times-series-double-exponential-smoothing", "kernel_id": "8621636"}, {"ref": "sulianova/covid-19-forecasting-with-random-forest", "kernel_id": "8604640"}, {"ref": "yustasalex/covid19-gf-week2", "kernel_id": "8627089"}, {"ref": "jeploretizo/kernelc8991c13e9", "kernel_id": "8712388"}, {"ref": "ha123321ha/rnn-model", "kernel_id": "8612195"}, {"ref": "itsbitan/covid-19-analysis", "kernel_id": "8642498"}, {"ref": "jaehooncha/submitweek2", "kernel_id": "8710323"}, {"ref": "myh0307/covid-sarima", "kernel_id": "8640496"}, {"ref": "armanyusuf/forecasting-the-covid-19-w-polynomial-regression", "kernel_id": "8667864"}, {"ref": "lollcat/logistic", "kernel_id": "8690364"}, {"ref": "khotijahs1/covid19-forecasting-randomforest", "kernel_id": "8622138"}, {"ref": "wjburns/covid-19-deaths-per-country", "kernel_id": "8528162"}, {"ref": "arnadu/sir-interv-calib-on-hospitalization-fatalities", "kernel_id": "8696378"}, {"ref": "arnadu/sir-with-intervention", "kernel_id": "8689040"}, {"ref": "arnadu/simple-fit", "kernel_id": "8618967"}, {"ref": "arnadu/sir-with-intervention-v2", "kernel_id": "8948359"}, {"ref": "arnadu/sir-local-calibration", "kernel_id": "8999063"}, {"ref": "parmenidas/gaussian-approx", "kernel_id": "8708530"}, {"ref": "gauravr31/kernel650dbe5075", "kernel_id": "8628827"}, {"ref": "pletzer/sickdays", "kernel_id": "8726155"}, {"ref": "ilu000/arima-influenza-baselines", "kernel_id": "8616331"}, {"ref": "rohanrao7/covid-19-pandemic-forecasting-using-xgboost", "kernel_id": "8679649"}, {"ref": "rohanrao7/xgboost-covid-19-pandemic-forecasting-week-3", "kernel_id": "8733115"}, {"ref": "sakethaux/covid-19-week-2-predictions", "kernel_id": "8680658"}, {"ref": "kaleedfox/covid19-competition-week-2", "kernel_id": "8658083"}, {"ref": "pritha21/covid-19-week-2-forecasting", "kernel_id": "8679319"}, {"ref": "gurubh/kernel798455a278", "kernel_id": "8707850"}, {"ref": "hikne707/covid-19-global-forecasting-w2", "kernel_id": "8706054"}, {"ref": "ameya98/corona-prediction-cases", "kernel_id": "8659163"}, {"ref": "shakshisharma/kernel2b2102131c", "kernel_id": "8708038"}, {"ref": "kowjan1/xgboost-previous-days-and-special-days", "kernel_id": "8694402"}, {"ref": "bishal78/bangladesh-covid-19-analysis-and-forecasting", "kernel_id": "8879489"}, {"ref": "jacklbruck/kernel559e7ebe1e", "kernel_id": "8693458"}, {"ref": "vtaquet/covid-19-eda-and-auto-regressive-linear-model", "kernel_id": "8492276"}, {"ref": "vtaquet/week-2-logistic-regression", "kernel_id": "8708374"}, {"ref": "nboukraa/exponential-smoothing-damped-multiplicative-trend", "kernel_id": "8692241"}, {"ref": "czyum26/covid-19-forecasting-using-elasticnet", "kernel_id": "8701356"}, {"ref": "smueez/bangladesh-covid-19-analysis-and-forecasting", "kernel_id": "8780504"}, {"ref": "vaibhavsxn/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8623707"}, {"ref": "frlemarchand/covid-19-forecasting-with-an-rnn", "kernel_id": "8594697"}, {"ref": "saga21/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8474295"}, {"ref": "serendipity09/revising-the-basics-with-covid-data", "kernel_id": "8642723"}, {"ref": "sanasam/covid19-first-simple-code-submission", "kernel_id": "8634550"}, {"ref": "sawantvishwajeet729/corona-using-time-series", "kernel_id": "8708626"}, {"ref": "nilanshk/covid-19-w2-try2", "kernel_id": "8653915"}, {"ref": "dropries/coronavirus-w2", "kernel_id": "8673769"}, {"ref": "danielalexander17/fix-covid-global-2", "kernel_id": "8669066"}, {"ref": "johndoeoeod/covid-19-lstm-xgbr-svr", "kernel_id": "8620454"}, {"ref": "esotericazzo/covid-19-global-forecasting-model-hyperparameter", "kernel_id": "8609050"}, {"ref": "shajin/covid-19", "kernel_id": "8606536"}, {"ref": "jlgleason/covid19-global-forecasts-using-probabilistic-rnns", "kernel_id": "8619509"}, {"ref": "syedhamzahussain/covid19-week2-mix", "kernel_id": "8689890"}, {"ref": "syedhamzahussain/covid19-forecasting-using-rnn", "kernel_id": "8704243"}, {"ref": "franlopezguzman/covid19-2-minimal-polynomial-regressor", "kernel_id": "8710362"}, {"ref": "iamhungundji/arima-model", "kernel_id": "8598947"}, {"ref": "shrey821/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8685342"}, {"ref": "ravishankariyer/covid-19-xgboost", "kernel_id": "8669469"}, {"ref": "ravishankariyer/covid-19-prediction-using-random-forest-beginner", "kernel_id": "8627046"}, {"ref": "abhi0787/in-the-aftermath-of-covid-19-w2", "kernel_id": "8814675"}, {"ref": "sureshmecad/covid19-global-forecasting-week-2", "kernel_id": "8645388"}, {"ref": "hakimnasaoui/covid19-global-forecasting-week-2", "kernel_id": "8632619"}, {"ref": "janmejoy/covid19-week2-forecasting-using-random-forest", "kernel_id": "8653827"}, {"ref": "deepakks1995/kernel503d33eb18", "kernel_id": "8592275"}, {"ref": "loleiying/covid19", "kernel_id": "8617083"}, {"ref": "deeshantk/kernel2036adfb74", "kernel_id": "8612816"}, {"ref": "deeshantk/kernel6645fb0c31", "kernel_id": "8649987"}, {"ref": "desaigeet96/kernel7a1b5b4321", "kernel_id": "8696262"}, {"ref": "hotstaff/logistic-function-fitting", "kernel_id": "8699250"}, {"ref": "muhammad4hmed/getting-into-top-ranks-very-easily", "kernel_id": "8708675"}, {"ref": "johnjdavisiv/gamm-competition-submission-for-week-2", "kernel_id": "8707013"}, {"ref": "johnjdavisiv/covid-week-2-submission", "kernel_id": "8707732"}, {"ref": "johnjdavisiv/gamms-for-covid19-prediction-leak-proof", "kernel_id": "8637620"}, {"ref": "kunal00031/covid-19-eda-analysis-visualization", "kernel_id": "8834728"}, {"ref": "swami84/kernel1e2ebb0650", "kernel_id": "8791082"}, {"ref": "lomen0857/covid-19-forecasting-with-rnn-lstm", "kernel_id": "8631167"}, {"ref": "lomen0857/covid19-fatalities", "kernel_id": "8621648"}, {"ref": "haricharanbk/corona-fatality-and-confirmed-cases-prediction", "kernel_id": "8687592"}, {"ref": "flxschneider/covid-19-predictions", "kernel_id": "8629566"}, {"ref": "aryankejriwal4/kernel5522f12f6b", "kernel_id": "8705125"}, {"ref": "ajayrajure/approximation-baseline", "kernel_id": "8595456"}, {"ref": "vikraantpy/kernel54f00e992a", "kernel_id": "8638047"}, {"ref": "eswarchandt/eda-covid-19-week-2", "kernel_id": "8659642"}, {"ref": "eswarchandt/timeseries-forecasting-with-prophet", "kernel_id": "8660514"}, {"ref": "eswarchandt/timeseries-forecasting-of-covid-19-week-2-arima", "kernel_id": "8666941"}, {"ref": "manasmohapatra1998/covid19-week2-forecasting-using-random-forest", "kernel_id": "8660964"}, {"ref": "manasmohapatra1998/covid19-week2-forecasting-using-xgboost", "kernel_id": "8664386"}, {"ref": "manasmohapatra1998/kernel67e3892b6d", "kernel_id": "8655431"}, {"ref": "rhfall/using-government-response-data-to-predict-number-o", "kernel_id": "8655920"}, {"ref": "jonaswm/covid-ag", "kernel_id": "8606894"}, {"ref": "hemilshah/arima-final", "kernel_id": "8707200"}, {"ref": "kaggleid123456789/kernel2299838b15", "kernel_id": "8697120"}, {"ref": "ruzgol/mathematical-solution-to-sigmoid-parameters", "kernel_id": "8757342"}, {"ref": "kaniya/covid-global-forecast-sir-xgboost", "kernel_id": "8625481"}, {"ref": "hideshoyama/kernel31f4259a38", "kernel_id": "8639335"}, {"ref": "ivince20x4/covid19-week2-prediction", "kernel_id": "8602964"}, {"ref": "baratheonr6/week-2-eda-and-non-leaky-modelling", "kernel_id": "8632600"}, {"ref": "manasgargv6/kernel3fe8c58d93", "kernel_id": "8611480"}, {"ref": "jigyashusuraj/covid-19-prediction-using-python", "kernel_id": "8662919"}, {"ref": "artem99/covid-19", "kernel_id": "8647348"}, {"ref": "hugoluo/sars-cov-2-exponential-model-week-2", "kernel_id": "8649358"}, {"ref": "kinkpunk/my-forecasting-covid19-week-2", "kernel_id": "8591010"}, {"ref": "luweijia2heather/fork-of-heathernocov-07ba0a", "kernel_id": "8711253"}, {"ref": "luweijia2heather/fork-of-fork-of-heathernocov-07ba0a", "kernel_id": "8712402"}, {"ref": "davidbnn92/weather-data", "kernel_id": "8483238"}, {"ref": "davidbnn92/using-weather-data-to-predict-spread-of-covid-19", "kernel_id": "8564634"}, {"ref": "ravirajsinh45/covid19-forecasting-using-rnn", "kernel_id": "8684703"}, {"ref": "binhlc/sars-cov-2-exponential-model-week-2", "kernel_id": "8608005"}, {"ref": "resheto/covid-19-prediction-of-deltas-using-extended-data", "kernel_id": "8701862"}, {"ref": "pstarszyk/seir-model-with-extensions", "kernel_id": "8623092"}, {"ref": "pstarszyk/population-densities-pop-km2", "kernel_id": "8714735"}, {"ref": "nickteim/covid19-model-2", "kernel_id": "8593069"}, {"ref": "durgaprasadk10/covid-forecast-dp", "kernel_id": "8633884"}, {"ref": "davidistrati/arima-week-2", "kernel_id": "8706874"}, {"ref": "shantanu1118/g-f-week2", "kernel_id": "8689100"}, {"ref": "shantanu1118/global-forecasting-covid19", "kernel_id": "8710235"}, {"ref": "vishwajeetjadeja/covid19-global-forecast", "kernel_id": "8710244"}, {"ref": "sangram185/using-random-forest-regressor", "kernel_id": "8679310"}, {"ref": "meenakshiramaswamy/wk2-covid-rf", "kernel_id": "8701895"}, {"ref": "razasaleemi/covid19-global-forecasting-week2-v3", "kernel_id": "8627814"}, {"ref": "utpalmahato/kernel7e421b7851", "kernel_id": "8711077"}, {"ref": "sanskrutipanda/covid-19-data-visualizations-with-plotly", "kernel_id": "8669047"}, {"ref": "ranjithks/few-lines-of-code-without-data-leak", "kernel_id": "8607724"}, {"ref": "kimberlyvan/covid-19-global-forecasting-wk-2", "kernel_id": "8706858"}, {"ref": "udaypratapyati/covid-19-predict-state-province-wise", "kernel_id": "8634286"}, {"ref": "teyang/covid-19-interactive-eda-seir-d-model", "kernel_id": "8668807"}, {"ref": "mohres/covid-19-week-4", "kernel_id": "8880217"}, {"ref": "gvsnikhilreddy/covid-19timeseriesmodel", "kernel_id": "8686221"}, {"ref": "akatarou/kernel6e8262d51f", "kernel_id": "8621216"}, {"ref": "preeteshverma/covid-19-eda-and-forecasting", "kernel_id": "8702915"}, {"ref": "aryehg/covid-forecast-with-govt-interventions", "kernel_id": "8709823"}, {"ref": "divyacnambiar/covid19-forecasting-sarima", "kernel_id": "8664585"}, {"ref": "keyehang/covid-19-forecasting-with-an-rnn", "kernel_id": "8931521"}, {"ref": "varalakshmia/kernel60368d2f6f", "kernel_id": "8633827"}, {"ref": "haplophyrne/week-3", "kernel_id": "8792465"}, {"ref": "darshanjain29/working-solution-progressing-on-leaderboard", "kernel_id": "8660923"}, {"ref": "seuvitor/covid-19-week-3", "kernel_id": "8743941"}, {"ref": "peranto/simple-xgb-lgb-random-forest", "kernel_id": "8646871"}, {"ref": "peranto/using-population-data", "kernel_id": "8692530"}, {"ref": "jowpereira/covid-19-brasil-prophet-lstm-bidirecional", "kernel_id": "8636779"}, {"ref": "rukminiprasad/kernel355022f345", "kernel_id": "8704721"}, {"ref": "sudiptapurkayastha/covid19-forecasting", "kernel_id": "8681959"}, {"ref": "panagiotisgkanos/kernel259937fb22", "kernel_id": "8693835"}, {"ref": "vidyagupta/kernel71c1522358", "kernel_id": "8711282"}, {"ref": "andynath/covid19-simple-country-wise-and-worldwide-eda", "kernel_id": "8598181"}, {"ref": "vishrutikaria/vishruti-karia", "kernel_id": "8715437"}, {"ref": "avnikabhati/covid19-week-2-exponentialsmoothing", "kernel_id": "8688381"}, {"ref": "saurabhbhogale/fork-of-kernel3178b29c7e", "kernel_id": "8712261"}, {"ref": "saurabhbhogale/kernel3178b29c7e", "kernel_id": "8711772"}, {"ref": "ankitasharma0921/fork-of-kernel656e26b169-c7cb00", "kernel_id": "8708809"}, {"ref": "bernhardklinger/kernel20c01d5e21", "kernel_id": "8604291"}, {"ref": "siddheshpujari/covid19-global-forecasting", "kernel_id": "8715254"}, {"ref": "anbu3003/covid-week-2-forecast", "kernel_id": "8614841"}, {"ref": "mdmahmudferdous/covid-19-global-forecasting-2", "kernel_id": "8688376"}, {"ref": "leelamanasa/covid19-global-forecasting-prediction", "kernel_id": "8698383"}, {"ref": "williamsabodunrin/kernel67c2de8f36", "kernel_id": "8707265"}, {"ref": "williamsabodunrin/kernel1c65daac22", "kernel_id": "8702205"}, {"ref": "zhiyaoliang/2th-week-prediction", "kernel_id": "8617043"}, {"ref": "caodai/c200331", "kernel_id": "8687334"}, {"ref": "singh16ananya/kernel785c407068", "kernel_id": "8704542"}, {"ref": "mariikoma/kernel33c2db1f7c", "kernel_id": "8617620"}, {"ref": "sharadkumarjayakumar/ensemble", "kernel_id": "8665003"}, {"ref": "jinsillee/covid-global-forecast-sir-model-arma-model", "kernel_id": "8601860"}, {"ref": "siddheshkadam/covid19-linear-regression", "kernel_id": "8637384"}, {"ref": "sergeyverbitskiy/approximation-baseline", "kernel_id": "8591112"}, {"ref": "vrro620/vaibhav620", "kernel_id": "8714938"}, {"ref": "alicemozkara/cov-v", "kernel_id": "8718345"}, {"ref": "katsukinagakubo/forecasting-covid19", "kernel_id": "8640329"}, {"ref": "nonstochastic147/covid-19-week-2", "kernel_id": "8663033"}, {"ref": "andreiamateus/covid19-global-data-visualization-week-2", "kernel_id": "8620667"}, {"ref": "lisphilar/combination-of-fitting-and-math-model-week2", "kernel_id": "8665810"}, {"ref": "raulmuliana/forecasting-global-covig19-polynomial-regression", "kernel_id": "8700608"}, {"ref": "nikolayanikolaev/copy-covid-19-global-forecasting-2", "kernel_id": "8703344"}, {"ref": "carloslira/covid19-mexico-sir-map-with-geopandas", "kernel_id": "8679466"}, {"ref": "nicolashbt/covid19-a-data-visualization-approach", "kernel_id": "8680443"}, {"ref": "ekzemplaro/approximation-baseline", "kernel_id": "8592598"}, {"ref": "mohammadtraboulsi/covid-19-spread-and-effect-of-delay", "kernel_id": "8682474"}, {"ref": "kagglesumanlm10/kernel4b65821241", "kernel_id": "8684183"}, {"ref": "keerthivikram/covid-19-week-2", "kernel_id": "8672216"}, {"ref": "h22222h/forecasting-the-covid-19-w-polynomial-regression", "kernel_id": "8694424"}, {"ref": "h22222h/data-visualization-and-modeling-for-cover-19", "kernel_id": "8585512"}, {"ref": "henrifroese/analysis-and-modelling-sir-seir-extensions", "kernel_id": "8598037"}, {"ref": "sudhamshsuraj/kernel5655112544", "kernel_id": "8682077"}, {"ref": "sudhamshsuraj/kernel196d7fff6c", "kernel_id": "8679954"}, {"ref": "eugenedobrovolskyi/evgdobr-covid19-w2-expregr", "kernel_id": "8616778"}, {"ref": "eugenedobrovolskyi/evgdobr-covid19-w2-xgboost", "kernel_id": "8616553"}, {"ref": "eugenedobrovolskyi/evgdobr-covid19-w2-ensemble", "kernel_id": "8703357"}, {"ref": "vishvambarpanth/kernel463e140e39", "kernel_id": "8705528"}, {"ref": "zains1/coronavirusforecasting", "kernel_id": "8656719"}, {"ref": "vrajjigna/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8719920"}, {"ref": "shivendrakaura/kernel24ab6a3442", "kernel_id": "8684190"}, {"ref": "junsukim6361/sarima", "kernel_id": "8697553"}, {"ref": "andreyostrast/covid-19-global-forecasting-2", "kernel_id": "8717784"}, {"ref": "andreyostrast/covid-19-eda-with-recent-update-on-april", "kernel_id": "8735064"}, {"ref": "woodyshi/covid-19-data-visualization-and-prediction", "kernel_id": "8692575"}, {"ref": "sadiakhalil/covid-19-global-eda-forecast-2", "kernel_id": "8606971"}, {"ref": "lakshpri/covid19-global-forecasting-week2-forecast", "kernel_id": "8652580"}, {"ref": "halimtannous/kernel44eafcfb13", "kernel_id": "8703556"}, {"ref": "liujialing2020/week2", "kernel_id": "8669185"}, {"ref": "robertolandi/kernel75823d3961", "kernel_id": "8710668"}, {"ref": "antonzheronkin/covid-19-russia-forecast", "kernel_id": "8611758"}, {"ref": "elente/covid-19-daily-growth-rate", "kernel_id": "8610060"}, {"ref": "liangxuatgroningen/the-government-reaction-plays-a-role", "kernel_id": "8693806"}, {"ref": "briansynthetaic/synthetaicai-week2-submission", "kernel_id": "8709020"}, {"ref": "remiviloteau/simple-eda-covid-19", "kernel_id": "8632121"}, {"ref": "blackmantis/covid19-week2-dt-model", "kernel_id": "8681076"}, {"ref": "paralleltree/covid19-simple-logistic-fitting", "kernel_id": "8642700"}, {"ref": "paralleltree/covid19-simple-country-visualization", "kernel_id": "8606559"}, {"ref": "solyoh21/covid-global-forecast-sir-model-ml-regre-2e38c1", "kernel_id": "8738279"}, {"ref": "solyoh21/covid-global-forecast-r", "kernel_id": "8754855"}, {"ref": "tylerpike/covid-19-forecasting-fforma", "kernel_id": "8584623"}, {"ref": "phenixhello/covid-19-global-forecasting-models-hyperparameter", "kernel_id": "8698021"}, {"ref": "cesarmharata/predict-and-classify-by-groups-of-quarentine", "kernel_id": "8695748"}, {"ref": "cjthedj/sir-models-fitted-to-data-optimistic", "kernel_id": "8664991"}, {"ref": "saikrishnakowda/covid-19-analysis", "kernel_id": "8697299"}, {"ref": "keedong/covid19-exponential-model2-kee", "kernel_id": "8711562"}, {"ref": "meetdoshi996/global-covid19-forecast", "kernel_id": "8707288"}, {"ref": "vatsalparmar/analysis-week2", "kernel_id": "8628012"}, {"ref": "nikolaivogl/kernel2f1104ccbc", "kernel_id": "8668055"}, {"ref": "anil4274/covid-19-forecasting", "kernel_id": "8688589"}, {"ref": "wenruipsu/submits", "kernel_id": "8686025"}, {"ref": "paoloinglese/simple-gam-model", "kernel_id": "8674983"}, {"ref": "robertmarsland/covid-19-predictions-with-model-of-vazquez-2006", "kernel_id": "8729044"}, {"ref": "robertmarsland/covid-19-spreads-as-power-of-elapsed-time", "kernel_id": "8688395"}, {"ref": "robertmarsland/covid-19-predictor-using-power-law-model", "kernel_id": "8703780"}, {"ref": "robertmarsland/fork-of-covid-19-spreads-as-power-of-elapsed-time", "kernel_id": "8708598"}, {"ref": "vanessapanchal/kernel3f26667f38", "kernel_id": "8696074"}, {"ref": "divyacn/covid-19-using-random-forest", "kernel_id": "8699007"}, {"ref": "testtrained/covid-19-eda-with-recent-update-on-march", "kernel_id": "8706792"}, {"ref": "shivkantsharma/kernel268b403b59", "kernel_id": "8709808"}, {"ref": "simonpetertandi/kaggleassignment", "kernel_id": "8950040"}, {"ref": "gaborfodor/covid19-submission-analysis", "kernel_id": "9024406"}, {"ref": "niibruce/kernele16aa95755", "kernel_id": "9463384"}, {"ref": "alex094495/covid19-global-forecasting-lstm-may-13-by-dahai", "kernel_id": "9387226"}, {"ref": "atompg/sir-india", "kernel_id": "9015257"}, {"ref": "wilk258/beginner-corona-eda-and-prophet-modeling", "kernel_id": "9011563"}, {"ref": "arnadu/sir-local-calibration-hospitalization", "kernel_id": "9118288"}, {"ref": "arnadu/sir-local-calibration-dashboard", "kernel_id": "9137513"}, {"ref": "arnadu/seirf-piecewise-linear-contact-rate-lmfit", "kernel_id": "9853982"}, {"ref": "latoadeoye/update-covid19-kernel", "kernel_id": "9233086"}, {"ref": "leticijadubickait/make-output", "kernel_id": "9292017"}, {"ref": "clairvoyanto/id5059-final", "kernel_id": "9443260"}, {"ref": "zionxu/kernel7c850b0e60", "kernel_id": "9326374"}, {"ref": "pk50st/last-version", "kernel_id": "9267102"}, {"ref": "ccdoong/kernel5f11c4b06f", "kernel_id": "9289386"}, {"ref": "ianmckenzie/test-submission", "kernel_id": "9348036"}, {"ref": "kylejuderodrigues/kernel64ecaf6370", "kernel_id": "9290303"}, {"ref": "celiamorgan/what-to-do", "kernel_id": "9462614"}, {"ref": "solyoh21/covid-global-forecast", "kernel_id": "9158521"}, {"ref": "sofiemas/kernel50c7c69433", "kernel_id": "9422574"}, {"ref": "sofiemas/kernel694e16f754", "kernel_id": "9422381"}, {"ref": "zongyanj/kernel4912eb4dbe", "kernel_id": "9379602"}, {"ref": "adil10743/kernel-covid", "kernel_id": "9349764"}, {"ref": "eleanorwright/covid-w2-preds", "kernel_id": "9443679"}, {"ref": "peterconvery/kernel2e221b2364", "kernel_id": "9463412"}, {"ref": "arnadu/seirf-lmfit", "kernel_id": "10191581"}, {"ref": "hakimnasaoui/decision-tree-regression-with-adaboost", "kernel_id": "10061250"}, {"ref": "wangpiaohong/rnn-scut", "kernel_id": "10467885"}, {"ref": "abhiparashar/eda-covid-19-notebook-3-effect-on-temperature", "kernel_id": "10186225"}, {"ref": "tejalsarvade/covidcases", "kernel_id": "11973812"}, {"ref": "arpitkhedekar/notebook31057b4f0a", "kernel_id": "11981187"}, {"ref": "sateeshkumarc/covid-19-global-forcasting-week2", "kernel_id": "12196785"}, {"ref": "prakashvm/notebook6dce06d71f", "kernel_id": "13719402"}, {"ref": "mananjethwani/covid-19-effect-of-temperature-humidity", "kernel_id": "13226437"}, {"ref": "nouhailanassib/module-choix", "kernel_id": "14699500"}, {"ref": "oualidkhalis/covid19-forecasting-using-arima-ar-model-rf", "kernel_id": "14731855"}, {"ref": "rekhav19bce1871/review-1", "kernel_id": "20215298"}, {"ref": "namhoang27/covid-19-eda-lstm", "kernel_id": "24679148"}, {"ref": "claraliu888888/covid-19-w2-lgb-mad", "kernel_id": "32909825"}, {"ref": "liusunju/covid19-global-forecasting-for-begginer-week-2", "kernel_id": "46973960"}, {"ref": "baqerhakim/feature-selection-by-lda-pca-and-svd", "kernel_id": "47634425"}, {"ref": "evgendvorkin/covid19-privat-1-67644", "kernel_id": "107348448"}]}
{"competition_id": "19704", "kernels": [{"ref": "hardik12498/2016b3a80390g", "kernel_id": "8690229"}, {"ref": "shangeth/2016b4a30442g", "kernel_id": "8612215"}, {"ref": "ishitamed/2017a7ps1013g-nnfl-lab2", "kernel_id": "8671672"}, {"ref": "rajaswa/2017a3ps0334g-low-effort-resnet-18", "kernel_id": "8749102"}, {"ref": "urviljivani/cnn-lab2-2017a7ps0943g", "kernel_id": "8747343"}, {"ref": "kushrj/2017a3ps0425g-nnfl-lab2", "kernel_id": "8723482"}, {"ref": "f20160664/2016a7ps0664g-lab2", "kernel_id": "8762867"}, {"ref": "anirudhmehra/2016a7ps0033g-nnfl2", "kernel_id": "8735452"}, {"ref": "kunalambardekar/nnfl-lab-2", "kernel_id": "8685790"}, {"ref": "oytrik/2017a3ps0222g-lab2", "kernel_id": "8723637"}, {"ref": "f20160544/lab2cnn", "kernel_id": "8610835"}, {"ref": "f20170958/2017a7ps0958g-cnn", "kernel_id": "8723589"}, {"ref": "f20160439/2016b3a70439g-nnfl2", "kernel_id": "8723336"}, {"ref": "somilg050/2017a7ps0142g-lab2", "kernel_id": "8690309"}, {"ref": "f20160320/2016b3a70320g-lab2-nnfl", "kernel_id": "8630818"}, {"ref": "f20160489/2016b3a70489g-nnfl2", "kernel_id": "8723764"}, {"ref": "nravishankar/eval-lab-2", "kernel_id": "8723873"}, {"ref": "ashutoshadhikari/2017a7ps0096g-lab2cnn", "kernel_id": "8740909"}, {"ref": "ashutoshadhikari/2017a7ps0096g-lab2", "kernel_id": "8738447"}, {"ref": "janamejayvinayjoshi/2016b4a70486g-nnfllab2", "kernel_id": "8730155"}, {"ref": "adityajoshi18/2017a8ps1926-lab2", "kernel_id": "8642436"}, {"ref": "harnoordhingra/2017a7ps0081g-nnfl", "kernel_id": "8688477"}, {"ref": "lemark999999/kernel1d196f6f79", "kernel_id": "8663631"}, {"ref": "rohanajwani/2017aaps0990g", "kernel_id": "8670275"}, {"ref": "srisreyas/2017a7ps0065g-lab2", "kernel_id": "8686970"}, {"ref": "paritoshrajpurohit/2016a8ps0326g-lab2", "kernel_id": "8698804"}, {"ref": "pranavbhosale25/2017a7os0936g-2", "kernel_id": "8723187"}, {"ref": "pranavbhosale25/2017a7ps0936g", "kernel_id": "8723140"}, {"ref": "ashishsinha29/2017aaps0400g-lab2", "kernel_id": "8707168"}, {"ref": "dabholkaramoghjayant/2016a8ts0393-cnn-lab2", "kernel_id": "8723631"}, {"ref": "nalinmujoo/2017aaps0986g-cnn", "kernel_id": "8650359"}, {"ref": "shreyashshukla1/2017a7ps0114gb-nnfl", "kernel_id": "8633020"}, {"ref": "adityagurjar10/2016b4a70351g-nnfl-lab2", "kernel_id": "8726985"}, {"ref": "parvdani/2016a7ps0722g-lab2", "kernel_id": "8714175"}, {"ref": "pverma0997/2016a8ps0405g-nnfl-lab2", "kernel_id": "8767273"}, {"ref": "drifter1973/scene-image-identification-by-cnn", "kernel_id": "10531945"}, {"ref": "almamun4r/nnfl-lab2-cnn", "kernel_id": "23039670"}, {"ref": "almamun4r/classification", "kernel_id": "23040732"}, {"ref": "almahmudalmamun/classification-with-cnn", "kernel_id": "23040749"}]}
{"competition_id": "19707", "kernels": []}
{"competition_id": "19708", "kernels": []}
{"competition_id": "19712", "kernels": []}
{"competition_id": "19726", "kernels": []}
{"competition_id": "19733", "kernels": []}
{"competition_id": "19750", "kernels": [{"ref": "dcanones/ceupe-diamonds-guided-lesson", "kernel_id": "8838773"}, {"ref": "reynaldoquispe/ceupa-jesusreynaldoquispeochoa", "kernel_id": "9200648"}, {"ref": "mariodavidmoctezuma/big-data-analytics-price-mario-moctezuma", "kernel_id": "32111652"}, {"ref": "felipediazmart/diamantes-ceupe", "kernel_id": "39552567"}, {"ref": "hamzabenai/machine-learning-study-case-ceupe-competition", "kernel_id": "67407164"}, {"ref": "pablozabal/predicci-n-del-precio-de-diamantes", "kernel_id": "83340220"}]}
{"competition_id": "19754", "kernels": []}
{"competition_id": "19755", "kernels": []}
{"competition_id": "19772", "kernels": []}
{"competition_id": "19773", "kernels": []}
{"competition_id": "19804", "kernels": []}
{"competition_id": "19805", "kernels": []}
{"competition_id": "19818", "kernels": []}
{"competition_id": "19820", "kernels": [{"ref": "nizarelkhalili/competition1ships", "kernel_id": "16661300"}, {"ref": "ilanguenet/iren-competition-1-louis-guo-et-ilan-guenet", "kernel_id": "16614895"}, {"ref": "sydneytap/tap-sydney", "kernel_id": "16269522"}, {"ref": "quentinlehelloco/cnn-boat-classifier", "kernel_id": "20782707"}]}
{"competition_id": "19821", "kernels": []}
{"competition_id": "19825", "kernels": []}
{"competition_id": "19827", "kernels": []}
{"competition_id": "19828", "kernels": []}
{"competition_id": "19839", "kernels": []}
{"competition_id": "19844", "kernels": [{"ref": "illarionov/baseline-nn", "kernel_id": "8703244"}, {"ref": "hcordioli/notebook0a1366f104", "kernel_id": "16071205"}]}
{"competition_id": "19853", "kernels": [{"ref": "yatinece/update-xgb", "kernel_id": "8755132"}, {"ref": "yatinece/covid19-w2-lstm", "kernel_id": "8727946"}, {"ref": "gaborfodor/covid-19-w3-a-few-charts-and-a-simple-baseline", "kernel_id": "8726229"}, {"ref": "gaborfodor/covid-19-w3-a-few-charts-and-submission", "kernel_id": "8824227"}, {"ref": "gaborfodor/covid-19-w4-a-few-charts", "kernel_id": "8884759"}, {"ref": "gaborfodor/covid19-global-forecasting-top-submissions", "kernel_id": "8837329"}, {"ref": "mathurinache/mathurin-week3-prevision1", "kernel_id": "8815599"}, {"ref": "mathurinache/mathurin-week3-prevision2", "kernel_id": "8815790"}, {"ref": "philippsinger/cv19w3-2-v2-play-2-v3fix-sub-last6dayopt", "kernel_id": "8824956"}, {"ref": "dimaquick/kernelb446064282", "kernel_id": "8774437"}, {"ref": "wjholst/gamma-pdf-curve-fitting", "kernel_id": "8776598"}, {"ref": "manuelblechschmidt/everycounts-de-exploratory-data-analysis", "kernel_id": "8766793"}, {"ref": "titericz/covid19-w3-submission-blend-4-models", "kernel_id": "8827057"}, {"ref": "mikeskim/kernel67b8bc0115", "kernel_id": "8781593"}, {"ref": "mathseer/eda-lstm-week3", "kernel_id": "8779099"}, {"ref": "mathseer/lgb-mad-w4", "kernel_id": "8699068"}, {"ref": "cpmpml/covid19-w3-submission", "kernel_id": "8824741"}, {"ref": "nxpnsv/logistic-xgb-hybrid", "kernel_id": "8797635"}, {"ref": "pietromarinelli/revised-script", "kernel_id": "8817034"}, {"ref": "pietromarinelli/very-basic-moving-avg-approach", "kernel_id": "8826072"}, {"ref": "boskaiolo/covid-19-predictions-week3-tf-censored-timeseries", "kernel_id": "8769874"}, {"ref": "asimjalis/covid19-global-forecasting-week-3", "kernel_id": "8760262"}, {"ref": "ceshine/covid-19-basic-model-not-leaky-week-3", "kernel_id": "8729082"}, {"ref": "ceshine/trajectory-of-cumulative-numbers-of-cases-week-3", "kernel_id": "8729098"}, {"ref": "ceshine/covid-19-onehot-model-not-leaky-week-3", "kernel_id": "8730937"}, {"ref": "skeller/lgb-clone-week-3", "kernel_id": "8726756"}, {"ref": "skeller/rolling-grip-week-3", "kernel_id": "8726783"}, {"ref": "skeller/week-3-arima-with-influenza-baselines", "kernel_id": "8726820"}, {"ref": "skeller/week2fav-notebook", "kernel_id": "8788739"}, {"ref": "amitstei/gbdt-baseline-covid-19", "kernel_id": "8819507"}, {"ref": "dollars4donuts/localrateonly-aggressive", "kernel_id": "8762080"}, {"ref": "kazanova/gbr-169v3-v2", "kernel_id": "8818522"}, {"ref": "rohanrao/covid-19-w3-lgb-mad", "kernel_id": "8823298"}, {"ref": "liangpang/prediction-week3", "kernel_id": "8807084"}, {"ref": "pakornrtn/covid-19-newbie-step-for-logistic-curve-fitting", "kernel_id": "8824002"}, {"ref": "skorsun/covid19-week3-exponential", "kernel_id": "8808306"}, {"ref": "ericfreeman/basic-math-pessimist", "kernel_id": "8823285"}, {"ref": "pankajkumar/seir-hcd-model", "kernel_id": "8797823"}, {"ref": "orzhiang/covid19-003-forecast-subis-ver2", "kernel_id": "8804497"}, {"ref": "orzhiang/covid19-003-forecast-subis-ver3", "kernel_id": "8824209"}, {"ref": "orzhiang/covid19-001-s0-estimation", "kernel_id": "8652117"}, {"ref": "orzhiang/covid19-000-data-preparation", "kernel_id": "8623382"}, {"ref": "jaganadhg/covidan", "kernel_id": "8747532"}, {"ref": "saeed3/some-countries-are-missing-from-the-dataset", "kernel_id": "8728934"}, {"ref": "chrisholmes1/covid-19-week-4-arima", "kernel_id": "8913315"}, {"ref": "yohancheong/predicting-covid-19-infections-with-lstm-week-3", "kernel_id": "8761830"}, {"ref": "brunojedynak/sigmoid1", "kernel_id": "8827201"}, {"ref": "uvinetz/week-3-submission-poisson", "kernel_id": "8813629"}, {"ref": "uvinetz/week-3-submission", "kernel_id": "8784989"}, {"ref": "super13579/covid-19-global-forecast-seir-visualize", "kernel_id": "8554094"}, {"ref": "super13579/covid-19-global-forecast-seir-visualize-w3", "kernel_id": "8678164"}, {"ref": "janosk21/covid-19-lstm-v1", "kernel_id": "8802576"}, {"ref": "sebastianpine/stringency-and-covid-19", "kernel_id": "8790127"}, {"ref": "sebastianpine/covid-forecasting", "kernel_id": "8788741"}, {"ref": "chemicaltoilet/covid-week-3", "kernel_id": "8806449"}, {"ref": "magnuslarsson/kernel38d43c9260", "kernel_id": "8822923"}, {"ref": "jiashun/week3-t2", "kernel_id": "8789970"}, {"ref": "viiids/fb-prophet", "kernel_id": "8761029"}, {"ref": "andrewkagel/covid19-pred-1", "kernel_id": "8811209"}, {"ref": "saurabh7/forecast", "kernel_id": "8827784"}, {"ref": "amezet/arima-influenza-mathematical-solution-w3", "kernel_id": "8796635"}, {"ref": "amezet/covid-19-lightgbm-2nd-place-of-w1-math-w3", "kernel_id": "8799932"}, {"ref": "hossein2015/covid-19-week-3-sarima-x-approach", "kernel_id": "8825239"}, {"ref": "sasrdw/gbt3n", "kernel_id": "8826215"}, {"ref": "algonell/covid-19-series-poly-fit-w3", "kernel_id": "8732857"}, {"ref": "deepaksadulla/forecast-in-r-2020-04-07", "kernel_id": "8790515"}, {"ref": "dkozlov/kernelke4w7xp98yn7uwvb", "kernel_id": "8790907"}, {"ref": "dkozlov/kernel4b1f5ad227", "kernel_id": "8790982"}, {"ref": "dkozlov/p9gzscywhnf2syrb", "kernel_id": "8791119"}, {"ref": "tunguz/simple-covid-19-global-eda-week-3", "kernel_id": "8728383"}, {"ref": "tunguz/covid-19-week-3-blend-2", "kernel_id": "8826898"}, {"ref": "tunguz/covid-19-w3-a-few-charts-and-a-simple-baseline", "kernel_id": "8825716"}, {"ref": "anjum48/seir-hcd-model", "kernel_id": "8496082"}, {"ref": "praveenadepu/prav-covid19-week3-001", "kernel_id": "8735649"}, {"ref": "bastienhaller/covid-19-automl-time-series", "kernel_id": "8814351"}, {"ref": "menglu/seir-model-with-additional-compartments", "kernel_id": "8740509"}, {"ref": "aerdem4/covid-19-basic-model-not-leaky", "kernel_id": "8474718"}, {"ref": "daqing/kernele983685398", "kernel_id": "8813245"}, {"ref": "ladidinesh/covid-19-forecasting-week3-arima-in-r", "kernel_id": "8813824"}, {"ref": "rollend/kernel6ecc5b5379", "kernel_id": "8835937"}, {"ref": "zhengli0817/lroger-covid19-global-forecasting-week-3-lgbm", "kernel_id": "8744530"}, {"ref": "kjm1559/kernel5b124fb5c2", "kernel_id": "8802269"}, {"ref": "plumblossom/covid-global-forecasting-eda", "kernel_id": "8758197"}, {"ref": "mlanier/covid-caret-rca-week3", "kernel_id": "8739386"}, {"ref": "corochann/covid-19-effect-of-temperature-humidity", "kernel_id": "8604361"}, {"ref": "corochann/covid-19-spread-situation-by-prefecture-in-japan", "kernel_id": "8626131"}, {"ref": "jordimas/differential-evolution-to-fit-covid-19-sir-model", "kernel_id": "8734687"}, {"ref": "jordimas/covid-19-week-3-sir-fittings", "kernel_id": "8817436"}, {"ref": "jordimas/covid-19-week-3-sir-fittings-alt", "kernel_id": "8820573"}, {"ref": "ankt24/covid-eda-seir-model-week-4-data", "kernel_id": "8922890"}, {"ref": "paulorzp/covid-19-global-forecast-ensemble-2m", "kernel_id": "8826653"}, {"ref": "mystery/covid-19-w3-a-few-charts-and-a-simple-b-4c8afd", "kernel_id": "8825650"}, {"ref": "mystery/covid-19-w3-a-few-charts-and-a-simple-b-dcd3c5", "kernel_id": "8825365"}, {"ref": "alisazhao/covid19-prediction-week-3", "kernel_id": "8758258"}, {"ref": "danielsanchez/small-analysis-with-moving-averages", "kernel_id": "8726939"}, {"ref": "dgrechka/seir-sigmoid-lethal-rate", "kernel_id": "8827842"}, {"ref": "dgrechka/sigmoid-model-only", "kernel_id": "8827529"}, {"ref": "manojankk/kernel39af3bb363", "kernel_id": "8755780"}, {"ref": "deshmane/kernel3df54ee715", "kernel_id": "8731010"}, {"ref": "mauddib/us-correlation-with-public-transport-usage-hdi", "kernel_id": "8766063"}, {"ref": "mauddib/bcg-correlation-with-casefatalityrate", "kernel_id": "8796640"}, {"ref": "mauddib/covid-19-fit-logistic-curves-and-submit-week-3", "kernel_id": "8726677"}, {"ref": "robikscube/rob-s-covid19-week-3-submission", "kernel_id": "8809697"}, {"ref": "nonserial/covid19-week-3-lightgbm", "kernel_id": "8791284"}, {"ref": "nonserial/covid-19-week-3-mlr3learners-lightgbm", "kernel_id": "8797450"}, {"ref": "tyadav/covid19-global-forcasting", "kernel_id": "8794896"}, {"ref": "oksanasem/data-prep-week3", "kernel_id": "8752509"}, {"ref": "oksanasem/some-xgb", "kernel_id": "8752418"}, {"ref": "oksanasem/old-some-xgb-w4", "kernel_id": "8807368"}, {"ref": "oksanasem/covid19-forecast-wk3-gaussian-fit", "kernel_id": "8825041"}, {"ref": "kurtjanssens/seir-hcd-model-22-april", "kernel_id": "8749126"}, {"ref": "andrewshevelev/kernel66eff4aa6cweek3", "kernel_id": "8822068"}, {"ref": "casras/covid19-week3-exponential-curve-fit", "kernel_id": "8653990"}, {"ref": "prem134/covid-19-cases-prediction", "kernel_id": "8736811"}, {"ref": "jagannathrk/covid-19-forecasting-xgboost", "kernel_id": "8732620"}, {"ref": "jagannathrk/gamma-pdf-curve-fitting", "kernel_id": "8889024"}, {"ref": "seshurajup/covid19-week-3", "kernel_id": "8728739"}, {"ref": "gauravbrills/covid-week-3-forecasting", "kernel_id": "8727029"}, {"ref": "sophiaray/covid19-global-week3", "kernel_id": "8761332"}, {"ref": "zumbov/covid-19-week-3", "kernel_id": "8825546"}, {"ref": "yaroshevskiy/covid-19-fit-logistic-curves-and-submit-week-3", "kernel_id": "8814644"}, {"ref": "yaroshevskiy/covid-19-lightgbm-2nd-place-of-week-1-no-leak", "kernel_id": "8814819"}, {"ref": "amitgairola/covid19", "kernel_id": "8757292"}, {"ref": "therealroman/kernel73535a4d66", "kernel_id": "8826842"}, {"ref": "piterfm/covid-week3-xgboost", "kernel_id": "8826297"}, {"ref": "stecasasso/cv19-w3-bt-sub2-blend", "kernel_id": "8826121"}, {"ref": "stecasasso/cv19-w3-bt-sub1", "kernel_id": "8824598"}, {"ref": "ljjblackpig/week-3-eda-with-data-visualizations", "kernel_id": "8825503"}, {"ref": "sarthakpawar/region-wise-arima-for-forecasting", "kernel_id": "8800680"}, {"ref": "worldkeeping/week3-lgb", "kernel_id": "8792043"}, {"ref": "worldkeeping/it-really-depends-on-every-one-of-us-visualization", "kernel_id": "8727865"}, {"ref": "vjshinde04/m1-1decisiontreeregression", "kernel_id": "8737378"}, {"ref": "paulyoung48/myscript", "kernel_id": "8777437"}, {"ref": "ilialar/logcurve-w3", "kernel_id": "8785780"}, {"ref": "suprasannap/covid-19-prediction", "kernel_id": "8807649"}, {"ref": "osciiart/covid-19-lightgbm-2nd-place-of-week-1-no-leak", "kernel_id": "8746308"}, {"ref": "osciiart/covid-19-lightgbm-week-2", "kernel_id": "8822016"}, {"ref": "osciiart/covid-19-lightgbm-with-weather-2", "kernel_id": "8824165"}, {"ref": "osciiart/week-2-late-submission", "kernel_id": "8760918"}, {"ref": "osciiart/comparison-of-week-1-sumissions", "kernel_id": "8761629"}, {"ref": "chvbs2000/kai-yu-s", "kernel_id": "8778296"}, {"ref": "kaimingk/covid-transformer", "kernel_id": "8737953"}, {"ref": "louis925/curve-fitting-sky", "kernel_id": "8757522"}, {"ref": "louis925/curve-fitting-louis", "kernel_id": "8757826"}, {"ref": "joemenifee/usa-curve-fitting", "kernel_id": "8731164"}, {"ref": "lawrencechen98/covid-19-forecast-and-analysis-week-3", "kernel_id": "8812735"}, {"ref": "pradeepmuniasamy/covid19-economic-outbreak", "kernel_id": "8740836"}, {"ref": "asierarteaga/covid19-rf-rf-w3", "kernel_id": "8824969"}, {"ref": "bitsnpieces/covid19-forecast-wk3", "kernel_id": "8758514"}, {"ref": "rserban/kernel6b71994589", "kernel_id": "8826131"}, {"ref": "alicuye/bayesian-model", "kernel_id": "8825769"}, {"ref": "sadeka007/wk-3-covid-19-prediction-lightgbm", "kernel_id": "8770836"}, {"ref": "hendrip8/holt-winter", "kernel_id": "8819187"}, {"ref": "hendrip8/arima", "kernel_id": "8819479"}, {"ref": "rohitmidha23/covid3-stats", "kernel_id": "8824671"}, {"ref": "rohitmidha23/covid-week3-final", "kernel_id": "8825111"}, {"ref": "apoorvm/rf-covid-3-multiple-data", "kernel_id": "8759439"}, {"ref": "luisverc/simple-exponential-extrapolation", "kernel_id": "8752452"}, {"ref": "kamalnaithani/covid-eda-forecast", "kernel_id": "8806020"}, {"ref": "brandon0/daily-death-toll-using-sql", "kernel_id": "8736739"}, {"ref": "brandon0/eda-based-on-first-reported-case-using-sql", "kernel_id": "8776800"}, {"ref": "hy2017/kernel47a4838f5d", "kernel_id": "8813900"}, {"ref": "hy2017/kernel3a642d913c", "kernel_id": "8822550"}, {"ref": "gustavomodelli/predict-fatalities-xgboost", "kernel_id": "8791743"}, {"ref": "lashamaev/covid-19-predictions-growth-factor-and-calculus", "kernel_id": "8832965"}, {"ref": "nitishabharathi/the-story-of-covid-19-in-india-eda-and-prediction", "kernel_id": "8785570"}, {"ref": "anshuls235/covid19-eda-predictions", "kernel_id": "8628909"}, {"ref": "anshuls235/covid19-explained-through-visualizations", "kernel_id": "8729949"}, {"ref": "mehek1/covid-19-forecasting-with-lstms", "kernel_id": "8626797"}, {"ref": "sayan341/latent-component-model-v3-covid-19", "kernel_id": "8813914"}, {"ref": "michaelschroter/schema-risk-factors-covid19-pred-model", "kernel_id": "8811479"}, {"ref": "taohoang/time-series-forecasting-covid-19-week-3", "kernel_id": "8811553"}, {"ref": "yuanquan/covid-19-prediction-by-country-and-province", "kernel_id": "8589309"}, {"ref": "sarvesh9111/covid-19-week3", "kernel_id": "8800662"}, {"ref": "ashora/xgboost-newbie", "kernel_id": "8726511"}, {"ref": "christofhenkel/cv19w3-v3fix-cpmp-oscii-belug-full-8118", "kernel_id": "8824396"}, {"ref": "amithsbhat/kernel3d92112154", "kernel_id": "8746792"}, {"ref": "gitanjalin/covid-19-analysis", "kernel_id": "8791699"}, {"ref": "avithal/using-xgboost", "kernel_id": "8803823"}, {"ref": "shaswata97/kernel68813c287d", "kernel_id": "8822139"}, {"ref": "shaswata97/kernel3902d6552a", "kernel_id": "8949008"}, {"ref": "cameronlai/cameron-test", "kernel_id": "8821459"}, {"ref": "shashwats89/kernele68bfd26ad", "kernel_id": "8767777"}, {"ref": "girish01/time-series-forecasting-covid-19-week-3", "kernel_id": "8741049"}, {"ref": "girish01/covid-19-eda-and-randomforest", "kernel_id": "8740912"}, {"ref": "mactom1980/convid19-w3", "kernel_id": "8771412"}, {"ref": "peteralaoui/3-regimes-logistic-exponential-and-linear-w3", "kernel_id": "8825655"}, {"ref": "regismagnus/covid19-week3", "kernel_id": "8738360"}, {"ref": "danmusetoiu/xgb-catboost-kiss", "kernel_id": "8772733"}, {"ref": "diamondsnake/covid-19-logistic-curve-fitting-and-correlation", "kernel_id": "8717412"}, {"ref": "diamondsnake/covid-19-logistic-curve-fitting-week-3", "kernel_id": "8756496"}, {"ref": "ratan123/covid-19-how-this-became-a-deadly-virus", "kernel_id": "8536391"}, {"ref": "meenakshi07/covid-19-eda-and-basic-analysis", "kernel_id": "8804832"}, {"ref": "thomastaus/kernel31dde31276", "kernel_id": "8819417"}, {"ref": "rank23/kernel2683a2b362", "kernel_id": "8819429"}, {"ref": "rank23/kernel5ac5460948", "kernel_id": "8819537"}, {"ref": "ngyibin/covid19-global-forecasting-linear-regression", "kernel_id": "8753994"}, {"ref": "abhia1999/kernel166843ef77", "kernel_id": "8743176"}, {"ref": "jeremybrouillet/covid-week-3-forecasting", "kernel_id": "8826573"}, {"ref": "sunhaozhe/visualization-trials", "kernel_id": "8741078"}, {"ref": "vishalvjoseph/covid-19-updated", "kernel_id": "8711619"}, {"ref": "begehr/covid19-week3-sir-model-leocorona", "kernel_id": "8765049"}, {"ref": "steffanobrito/ponto-futuro-modelo-com-decaimento-w3-com-modelov2", "kernel_id": "8734629"}, {"ref": "maximrohit/prepare-the-dataset", "kernel_id": "8800119"}, {"ref": "shamsvahid2/covid-week3-xgboost", "kernel_id": "8801587"}, {"ref": "letili0417/covid-19-week-3-forecasting-with-lockdown", "kernel_id": "8736690"}, {"ref": "petersorensen360/base360", "kernel_id": "8825784"}, {"ref": "petersorensen360/kernel6984e17e21", "kernel_id": "8706295"}, {"ref": "akashsuper2000/covid-19-fit-logistic-curves-and-submit-week-3", "kernel_id": "8731752"}, {"ref": "akashsuper2000/covid19-global-forecasting-week-3", "kernel_id": "8731666"}, {"ref": "akashsuper2000/covid-19-forecasting-xgboost", "kernel_id": "8731703"}, {"ref": "akashsuper2000/xgboost-prediction-model", "kernel_id": "8815465"}, {"ref": "akashsuper2000/arima-model", "kernel_id": "8815496"}, {"ref": "akashsuper2000/forecasting-using-xgboost-gradient-booster", "kernel_id": "8784015"}, {"ref": "akashsuper2000/using-xgboost", "kernel_id": "8796400"}, {"ref": "mobassir/covid-19-in-bangladesh", "kernel_id": "8769195"}, {"ref": "flubber/prepare-the-dataset-feature-selection-amit", "kernel_id": "8800524"}, {"ref": "fraserew/covid-week-3-lstm", "kernel_id": "8800064"}, {"ref": "fraserew/fork-of-covid-week-3-lstm", "kernel_id": "8817419"}, {"ref": "ritarana123/kernel6bb9d38623", "kernel_id": "8730982"}, {"ref": "appian/covid19-week3-3", "kernel_id": "8818855"}, {"ref": "appian/covid19-week3-2", "kernel_id": "8818932"}, {"ref": "lishiyu/kernel79a00ad724", "kernel_id": "8822646"}, {"ref": "twopebbles/ca-covid19-trends", "kernel_id": "8528977"}, {"ref": "dferhadi/covid19-population-feature-engineering", "kernel_id": "8614692"}, {"ref": "dferhadi/covid-19-predictions-growth-factor-and-calculus", "kernel_id": "8434834"}, {"ref": "mehdi16/week-3", "kernel_id": "8775250"}, {"ref": "digimagi/covid-19-w3-a-few-charts-and-a-simple-clone", "kernel_id": "8793206"}, {"ref": "digimagi/xgb-catboost-kiss-clone", "kernel_id": "8802467"}, {"ref": "marsel171/covid19-week3", "kernel_id": "8801098"}, {"ref": "kashish2801/covid-19-predict-arimax-xgboost-and-prophet-by-fb", "kernel_id": "8769444"}, {"ref": "gabrielmilan/eda-regressors-ensembling", "kernel_id": "8740519"}, {"ref": "mahmudds/covid19-global-forecasting-week-3", "kernel_id": "8730717"}, {"ref": "jorijnsmit/population-and-sub-continent-for-every-entity", "kernel_id": "8591864"}, {"ref": "jorijnsmit/mathematical-solution-to-sigmoid-parameters", "kernel_id": "8602380"}, {"ref": "fukuokamasaru/covid19globalf-w3-0408d-pri-2", "kernel_id": "8762817"}, {"ref": "rdbch13/kernel4dbd0093c4", "kernel_id": "8739268"}, {"ref": "valeriee/covid19-analysis-prediction-for-countries", "kernel_id": "8758014"}, {"ref": "debanga/covid19-eda-week3", "kernel_id": "8743854"}, {"ref": "debanga/beginner-s-r-script-with-lgbm", "kernel_id": "8762129"}, {"ref": "debanga/fork-of-covid19-eda-week3", "kernel_id": "8823699"}, {"ref": "tzivis/covid-greece-visualizations-arima-forecast", "kernel_id": "8743121"}, {"ref": "sidd008/global-covid19-week3-wn", "kernel_id": "8740723"}, {"ref": "s903124/comparison-of-week-2-sumissions", "kernel_id": "8856831"}, {"ref": "pilipeykogrisha/covid-2019-w3-xgboost-lgb", "kernel_id": "8730502"}, {"ref": "yustasalex/covid19-gf-week4-sarimax-with-bec", "kernel_id": "8869502"}, {"ref": "yustasalex/covid19-gf-week3-sarimax-and-kneighbors-mean", "kernel_id": "8763912"}, {"ref": "yustasalex/covid19-gf-week3-sarimax", "kernel_id": "8762366"}, {"ref": "senpinaki222/china-vs-italy-spain-india-covid19-cases", "kernel_id": "8757928"}, {"ref": "abhijithchandradas/sir-model-don-t-understand-calculus-don-t-worry", "kernel_id": "8864751"}, {"ref": "abhijithchandradas/global-forcast-covid19-logisticregression", "kernel_id": "8805462"}, {"ref": "ashrithsher/kernel242821513a", "kernel_id": "8779917"}, {"ref": "ashrithsher/kernel63a785c7d4", "kernel_id": "8780119"}, {"ref": "itsbitan/covid-19-week-3", "kernel_id": "8730832"}, {"ref": "itsbitan/covid-19-week-3-analysis", "kernel_id": "8761948"}, {"ref": "franticoreo/covid-second-attempt", "kernel_id": "8779427"}, {"ref": "myh0307/covid-19-arima-lstm", "kernel_id": "8775443"}, {"ref": "khotijahs1/covid19-global-forecasting-week-3-gaussiannb", "kernel_id": "8730130"}, {"ref": "uday44/basic-covid-19-eda", "kernel_id": "8732811"}, {"ref": "wjburns/covid-19-deaths-per-country", "kernel_id": "8528162"}, {"ref": "unnatikhivasara/covid-19-forecast-challenge-3", "kernel_id": "8904847"}, {"ref": "arnadu/sir-interv-calib-on-hospitalization-fatalities", "kernel_id": "8696378"}, {"ref": "arnadu/sir-with-intervention", "kernel_id": "8689040"}, {"ref": "arnadu/sir-with-intervention-v2", "kernel_id": "8948359"}, {"ref": "arnadu/sir-local-calibration", "kernel_id": "8999063"}, {"ref": "parmenidas/gaussian-approx-week-3", "kernel_id": "8739112"}, {"ref": "rohanrao7/xgboost-covid-19-pandemic-forecasting-week-3", "kernel_id": "8733115"}, {"ref": "pritha21/covid-19-week-3", "kernel_id": "8765520"}, {"ref": "ahmedewida/covid-19-week3", "kernel_id": "8746409"}, {"ref": "jamesjiang2019/covid-19-visualization-and-arima-prediction", "kernel_id": "8805829"}, {"ref": "tbuturishvili/kernel553d59c05a", "kernel_id": "8820802"}, {"ref": "arpandas65/covid-19-projection-using-lstm", "kernel_id": "8773429"}, {"ref": "arpandas65/covid-19-week3-forecasting-decisiontree-xgboost", "kernel_id": "8802681"}, {"ref": "vtaquet/covid19-week-3-logistic-regression", "kernel_id": "8819836"}, {"ref": "czyum26/covid-19-forecasting-using-elasticnet-ii", "kernel_id": "8769803"}, {"ref": "rpk2084/ryan-covid19", "kernel_id": "8745250"}, {"ref": "frlemarchand/covid-19-forecasting-with-an-rnn", "kernel_id": "8594697"}, {"ref": "saga21/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8474295"}, {"ref": "prashant268/kernelcc68fe8231", "kernel_id": "8823607"}, {"ref": "prashant268/covid19-forecasting-with-country-information", "kernel_id": "8824079"}, {"ref": "prashant268/covid-19-week3-sarima", "kernel_id": "8903523"}, {"ref": "akshitsharma206/covid-19-3rd-week", "kernel_id": "8864857"}, {"ref": "towsifahamed/covid19-global-forecasting-week-3-world-map-visual", "kernel_id": "8802434"}, {"ref": "dropries/arima", "kernel_id": "8786475"}, {"ref": "basselkassem/covid19-week3", "kernel_id": "8839358"}, {"ref": "takiyu/arima-week3", "kernel_id": "8733262"}, {"ref": "tigeriv/covid19", "kernel_id": "8757973"}, {"ref": "tigeriv/offset-wdi", "kernel_id": "8826791"}, {"ref": "jlgleason/covid19-forecasts-using-probabilistic-rnns", "kernel_id": "8822623"}, {"ref": "richadhir/fork-of-fork-of-kernel36f0ed9a12", "kernel_id": "8766901"}, {"ref": "franlopezguzman/covid19-3-minimalist-polynomial-regressor", "kernel_id": "8789050"}, {"ref": "buitri91/kernel3271dd3032", "kernel_id": "8808571"}, {"ref": "devalindey/covid19-global-forecasting-week-3-with-lightgbm", "kernel_id": "8784359"}, {"ref": "qutesol/investigate-relation-of-bcg-and-covid-19", "kernel_id": "8816852"}, {"ref": "harshitt21/covid19-week-3-advanced-eda-and-xgboost", "kernel_id": "8740389"}, {"ref": "janmejoy/covid19-time-series-analysis-plotly-visualization", "kernel_id": "8773517"}, {"ref": "proxyy/covid-19", "kernel_id": "8788210"}, {"ref": "deeshantk/kernel4ae1448f52", "kernel_id": "8734856"}, {"ref": "hotstaff/prediction-with-logistic-function-fitting", "kernel_id": "8729167"}, {"ref": "johnjdavisiv/covid19-week-3-dual-gamms", "kernel_id": "8809461"}, {"ref": "swami84/kernel52ceaad666", "kernel_id": "8827694"}, {"ref": "lomen0857/covid19-forecasting", "kernel_id": "8800787"}, {"ref": "pavan9065/using-xgboost", "kernel_id": "8796736"}, {"ref": "flxschneider/week-3-eda-prediction", "kernel_id": "8750804"}, {"ref": "harshbelani/profit-and-exp", "kernel_id": "8823854"}, {"ref": "harshbelani/prophet", "kernel_id": "8800986"}, {"ref": "mrmorj/covid-19-eda-xgboost", "kernel_id": "8757985"}, {"ref": "mrmorj/covid-19-sarima", "kernel_id": "8816112"}, {"ref": "mrmorj/covid-19-adv-eda-lstm", "kernel_id": "8785208"}, {"ref": "eswarchandt/covid-19-forecasting-randomforests", "kernel_id": "8731641"}, {"ref": "eswarchandt/covid-19-forecasting-xgboost", "kernel_id": "8731442"}, {"ref": "eswarchandt/timeseries-forecasting-of-covid-19-week-3-arima", "kernel_id": "8730011"}, {"ref": "eswarchandt/timeseries-forecasting-of-covid-19-week-3-prophet", "kernel_id": "8730054"}, {"ref": "eswarchandt/eda-covid-19-week-3", "kernel_id": "8730118"}, {"ref": "manasmohapatra1998/covid-19-using-arima-forecasting-model", "kernel_id": "8780428"}, {"ref": "hemilshah/xgboost", "kernel_id": "8746528"}, {"ref": "hemilshah/arima-1", "kernel_id": "8735296"}, {"ref": "mikeb127/covid-19-australia-adjustable-infection-rates", "kernel_id": "8731114"}, {"ref": "kaniya/covid-global-forecast-sir-xgboost", "kernel_id": "8625481"}, {"ref": "vlomme/russian-baseline", "kernel_id": "8789095"}, {"ref": "ivince20x4/covid-19-week3-prediction3", "kernel_id": "8820034"}, {"ref": "sorobedio/simpledecisiontree", "kernel_id": "8822284"}, {"ref": "chandelmannu7/kernel6bd879f572", "kernel_id": "8784337"}, {"ref": "sharmistha96/covid-19-live-forecast", "kernel_id": "8746554"}, {"ref": "surajitcba2021/using-xgboost", "kernel_id": "8827099"}, {"ref": "surajitcba2021/week3-covid-1", "kernel_id": "8825245"}, {"ref": "beatlejuicepack/covid-19-week3-notebook", "kernel_id": "8809069"}, {"ref": "kinkpunk/my-forecasting-covid19-week-3", "kernel_id": "8741904"}, {"ref": "folk85/covid-19-forecast-test", "kernel_id": "8800001"}, {"ref": "abhishekkumkar/xgboost", "kernel_id": "8879365"}, {"ref": "softciveng/covid19-week-3", "kernel_id": "8788553"}, {"ref": "adamsven/lstm-time-series-forecasting-covid19", "kernel_id": "8930984"}, {"ref": "luweijia2heather/sigmoidcurve", "kernel_id": "8809250"}, {"ref": "tsubasatwi/covid-global-forecast-sir-ml-regressions", "kernel_id": "8769603"}, {"ref": "davidbnn92/weather-data", "kernel_id": "8483238"}, {"ref": "binhlc/sars-cov-2-arima-model-week-3", "kernel_id": "8813290"}, {"ref": "resheto/covid-19-week-3", "kernel_id": "8726659"}, {"ref": "davidistrati/covid-19-multilevel", "kernel_id": "8789394"}, {"ref": "felix1898/covid-xgb", "kernel_id": "8747581"}, {"ref": "adegladius/covid19-global-forecasting-week-3", "kernel_id": "8805270"}, {"ref": "srijeev1/canadian-province-analysis-covid-19", "kernel_id": "8884450"}, {"ref": "srijeev1/every-country-regressor-covid-19", "kernel_id": "8884752"}, {"ref": "patrickssfuchs/covid-week3-dl", "kernel_id": "8792487"}, {"ref": "patrickssfuchs/deep-learning-lmu-unit-approach", "kernel_id": "8823836"}, {"ref": "razasaleemi/pakistan-covid19-predictions-on-3-4-5-6-apr", "kernel_id": "8798773"}, {"ref": "razasaleemi/pakistan-covid19-analysis", "kernel_id": "8750513"}, {"ref": "boxixi/covid-19-forecasting-week-3", "kernel_id": "8817592"}, {"ref": "amberhwahwachung/kernel499db83019", "kernel_id": "8814369"}, {"ref": "amberhwahwachung/exploratory-data-analysis-and-visualization-0704", "kernel_id": "8801562"}, {"ref": "kirderf/covid-19-w3-lgbmx3-xgbx2-mad", "kernel_id": "8810003"}, {"ref": "ranjithks/ran-covid-19-week3", "kernel_id": "8730981"}, {"ref": "juliochilela/kernel602cda1618", "kernel_id": "8825429"}, {"ref": "paulmorganaus/simple-sigmoid", "kernel_id": "8810101"}, {"ref": "bryanteh/covid19-sigmoidmodel", "kernel_id": "8767926"}, {"ref": "tarikaslan/covid-19-data-analyze-and-predictor-60-countries", "kernel_id": "8808086"}, {"ref": "sophiasusanraju/covid-regression", "kernel_id": "8808096"}, {"ref": "keyehang/covid-19-forecasting-with-an-rnn", "kernel_id": "8931521"}, {"ref": "haplophyrne/ensemble", "kernel_id": "8811932"}, {"ref": "haplophyrne/week-3", "kernel_id": "8792465"}, {"ref": "darshanjain29/covid-19-week-3", "kernel_id": "8820720"}, {"ref": "acdaddata/random-forest-model-covid-global-forecast", "kernel_id": "8778942"}, {"ref": "seuvitor/covid-19-week-3", "kernel_id": "8743941"}, {"ref": "ryandgama/kernel50e4006b39", "kernel_id": "8759461"}, {"ref": "panagiotisgkanos/kernel653ee0747a", "kernel_id": "8824040"}, {"ref": "rajatk9962/polyreg", "kernel_id": "8767000"}, {"ref": "syzymon/covid-19-tabnet-fast-ai-v2", "kernel_id": "8803161"}, {"ref": "syzymon/covid-19-basic-fast-ai-tabular-model", "kernel_id": "8766186"}, {"ref": "dktalaicha/covid-19-forecasting-week-3-eda-and-arima", "kernel_id": "8808418"}, {"ref": "anbu3003/covid-19-week-3", "kernel_id": "8776923"}, {"ref": "shubham108/kernel2ba610ca51", "kernel_id": "8802526"}, {"ref": "atharvachute/covid-19-randomforest-implementation", "kernel_id": "8747371"}, {"ref": "amitbhansali/covid-global-forecast-linear-regression", "kernel_id": "8754100"}, {"ref": "mdmahmudferdous/covid-19-bangladesh-forecasting", "kernel_id": "8738268"}, {"ref": "mdmahmudferdous/covid-19-usa-forecasting-facebook-prophet-model", "kernel_id": "8739073"}, {"ref": "mdmahmudferdous/covid-19-global-forecasting-3-top-20-notebook", "kernel_id": "8731335"}, {"ref": "mdmahmudferdous/covid-19-canada-forecasting-facebook-prophet-model", "kernel_id": "8752557"}, {"ref": "mdmahmudferdous/covid-19-italy-forecasting-fb-prophet", "kernel_id": "8741754"}, {"ref": "mdmahmudferdous/covid-19-dashboard", "kernel_id": "8763463"}, {"ref": "srikarkodakandla/corona-future-prediction-in-india", "kernel_id": "8767915"}, {"ref": "ben975/xgboost-based-model", "kernel_id": "8825780"}, {"ref": "leelamanasa/covid19-global-forecasting", "kernel_id": "8746743"}, {"ref": "sakshamkulshrestha/covid19-visualizations", "kernel_id": "8732260"}, {"ref": "henrychinaski/covid-19-1st-try", "kernel_id": "8810136"}, {"ref": "caodai/cf-w2", "kernel_id": "8804815"}, {"ref": "caodai/sub-0407-2", "kernel_id": "8803205"}, {"ref": "sanjeevkallepalli/kernel133aaf9430", "kernel_id": "8864825"}, {"ref": "abhilashkorraprolu/xgb-multimodel-countrywise", "kernel_id": "8758605"}, {"ref": "abhilashkorraprolu/r-arima", "kernel_id": "8796296"}, {"ref": "karolaydelacruz/kernel693497967c", "kernel_id": "8791510"}, {"ref": "vrro620/analysis-data-plotting-and-prediction", "kernel_id": "8740124"}, {"ref": "biswarupray/randomforest-covid19", "kernel_id": "8752429"}, {"ref": "aymankh97/kernel7242d61f31", "kernel_id": "8780669"}, {"ref": "silverstorm/forecasting-using-xgboost-gradient-booster", "kernel_id": "8756908"}, {"ref": "vrishabhnaik/forcasting-of-covid-19-ts-arima-eda", "kernel_id": "8792225"}, {"ref": "nonstochastic147/week-3-xgboost", "kernel_id": "8825194"}, {"ref": "nonstochastic147/week-3-challenge-sir-xgboost", "kernel_id": "8764012"}, {"ref": "lisphilar/combination-of-fitting-and-math-model-week3", "kernel_id": "8816440"}, {"ref": "lisphilar/combination-of-logistic-sir-f-week-3", "kernel_id": "8821275"}, {"ref": "javadiva/covid-19-forecasting-with-an-rnn", "kernel_id": "8850481"}, {"ref": "ekzemplaro/covid19-global-forecasting", "kernel_id": "8760686"}, {"ref": "ekzemplaro/covid19-week3-apr08", "kernel_id": "8815751"}, {"ref": "trilabs/covid-19-forecasting-week-3", "kernel_id": "8762496"}, {"ref": "trilabs/covid-19-week-3", "kernel_id": "8762873"}, {"ref": "ramondiaz/covid19-logistic-curve-fitting", "kernel_id": "8822407"}, {"ref": "seaofstars/kernel16e9ef2435", "kernel_id": "8811204"}, {"ref": "seaofstars/kernel7391aaf1a1", "kernel_id": "8784198"}, {"ref": "madz2000/covid-19-week-3-analysis-prediction", "kernel_id": "8730777"}, {"ref": "keerthivikram/kaggle-covid-prediction-week-3", "kernel_id": "8726794"}, {"ref": "h22222h/data-visualization-and-modeling-for-cover-19", "kernel_id": "8585512"}, {"ref": "priyankakondaparthii/covid19", "kernel_id": "8797702"}, {"ref": "sudhamshsuraj/kernel2c53599420", "kernel_id": "8797562"}, {"ref": "sudhamshsuraj/kernel6fc57d24dc", "kernel_id": "8797454"}, {"ref": "sudhamshsuraj/kernel4c134709ee", "kernel_id": "8797366"}, {"ref": "sudhamshsuraj/kernel490481b969", "kernel_id": "8797245"}, {"ref": "sudhamshsuraj/kernel709b40232c", "kernel_id": "8797132"}, {"ref": "mustaphayinkayusuf/kernel2c58120747", "kernel_id": "8776329"}, {"ref": "eugenedobrovolskyi/evgdobr-covid19-w3-ensemble", "kernel_id": "8732295"}, {"ref": "zfzfzf/kernel64fe06483a", "kernel_id": "8827384"}, {"ref": "zfzfzf/kernel5e92094e1c", "kernel_id": "8811413"}, {"ref": "shivendrakaura/kernel74184a2039", "kernel_id": "8785663"}, {"ref": "mvsgodinho/investigate-relation-of-bcg-and-covid-19-wip", "kernel_id": "8917546"}, {"ref": "agbofrederick/covid-19-eda-and-forecasting", "kernel_id": "8734503"}, {"ref": "junsukim6361/final-submission", "kernel_id": "8817054"}, {"ref": "junsukim6361/sarima-week3", "kernel_id": "8731574"}, {"ref": "andreyostrast/covid-19-eda-with-recent-update-on-april", "kernel_id": "8735064"}, {"ref": "sadiakhalil/covid-19-global-eda-forecast-2", "kernel_id": "8606971"}, {"ref": "wgdesign2/case-data-hospital-zones", "kernel_id": "8811037"}, {"ref": "kbragngr/covid19week3", "kernel_id": "8772330"}, {"ref": "liujialing2020/week3ljl", "kernel_id": "8801529"}, {"ref": "robertolandi/seq-2-seq", "kernel_id": "8789829"}, {"ref": "aratrikabiswas/covid-19-analysis-with-visualization", "kernel_id": "8919793"}, {"ref": "briansynthetaic/kernel36cd33c86d", "kernel_id": "8827163"}, {"ref": "akshatjn000/covid-19-forecast-fbprophet", "kernel_id": "8793092"}, {"ref": "akshatjn000/covid19-forecast-arima", "kernel_id": "8758234"}, {"ref": "blackmantis/covid19-week3-decisiontree-model", "kernel_id": "8765095"}, {"ref": "blackmantis/covid-19-week3-xgb", "kernel_id": "8798029"}, {"ref": "blackmantis/covid19-week3-xgb-notebook", "kernel_id": "8811376"}, {"ref": "paralleltree/covid19-simple-logistic-fitting-week3", "kernel_id": "8728798"}, {"ref": "paralleltree/covid19-simple-country-visualization", "kernel_id": "8606559"}, {"ref": "danjmp07/covid-interactive-analysis-v1", "kernel_id": "8736228"}, {"ref": "ronakbadhe/logisticcovid", "kernel_id": "8728259"}, {"ref": "ronakbadhe/wtfisthiscovid", "kernel_id": "8792648"}, {"ref": "datahadi/covid19-global-forecasting-week-3-c-split", "kernel_id": "8757927"}, {"ref": "technikimobo/analysis-data-plotting-and-prediction", "kernel_id": "8781854"}, {"ref": "sohaibmian/lstm-time-series-forecasting-covid19", "kernel_id": "8751641"}, {"ref": "chaewonkkiimm/sid-forecast-model-for-covid19", "kernel_id": "8825927"}, {"ref": "chaewonkkiimm/sid-forcast-model-for-covid19", "kernel_id": "8825644"}, {"ref": "bedantaprotimdeka/covid-19-week-3", "kernel_id": "8781929"}, {"ref": "paoloinglese/fatalities-cases-dependency-italy-only", "kernel_id": "8727212"}, {"ref": "paoloinglese/sigmoid-fit-fatalities-cases-dependency", "kernel_id": "8767939"}, {"ref": "robertmarsland/covid-19-prediction-with-erf", "kernel_id": "8794000"}, {"ref": "wenyuc/kernel4416066458", "kernel_id": "8813155"}, {"ref": "pradeepkumarrajkumar/covid-19-submission-1", "kernel_id": "8852963"}, {"ref": "aarushimehrotra/covid-19", "kernel_id": "8828400"}, {"ref": "boolearan/covid-19-week3", "kernel_id": "8823661"}, {"ref": "rojinzandi/data-visualization-and-regression", "kernel_id": "8931001"}, {"ref": "rojinzandi/covid19-iran-and-italy", "kernel_id": "8883029"}, {"ref": "freytian/covid-19-forecasting-in-exponential-model", "kernel_id": "8800163"}, {"ref": "jaimepazlopes/covid-19-country-data-plot", "kernel_id": "8769905"}, {"ref": "arkadipghosh/india-corona", "kernel_id": "8785407"}, {"ref": "ramandeepjagdev/ramandeep-jagdev-ee257", "kernel_id": "8900071"}, {"ref": "dennischhun/covid19-week-4-beginner-machine-learning-project", "kernel_id": "8930445"}, {"ref": "ee257sp20nivedha/kernel128720c58c", "kernel_id": "8833119"}, {"ref": "katiehufker/covid19-predictions-with-decision-trees", "kernel_id": "8881592"}, {"ref": "simonpetertandi/kaggleassignment", "kernel_id": "8950040"}, {"ref": "gaborfodor/covid19-submission-analysis", "kernel_id": "9024406"}, {"ref": "cnygaard/covid-19-predictions-growth-factor-and-calculus", "kernel_id": "9015943"}, {"ref": "kuberiitb/the-story-of-covid-19-in-india-eda-updated-12-may", "kernel_id": "9392108"}, {"ref": "kazanova/with-train", "kernel_id": "9205519"}, {"ref": "bhalchandranaik/modeling-covid-19-using-sir-and-hill-equation", "kernel_id": "9015416"}, {"ref": "leela2299/feature-engineering-made-easy-beginner-xgboost", "kernel_id": "9122551"}, {"ref": "echo9k/covid-19-analytics-using-growth-factor", "kernel_id": "9650629"}, {"ref": "arnadu/sir-local-calibration-hospitalization", "kernel_id": "9118288"}, {"ref": "arnadu/sir-local-calibration-dashboard", "kernel_id": "9137513"}, {"ref": "arnadu/seirf-piecewise-linear-contact-rate-lmfit", "kernel_id": "9853982"}, {"ref": "sureshmecad/covid-19-week-3", "kernel_id": "9432566"}, {"ref": "guannanleo/kernel3c18768b54", "kernel_id": "9277991"}, {"ref": "yifeiqian/kernel605c432b3f", "kernel_id": "9174713"}, {"ref": "yifeiqian/kernel1d0e70d238", "kernel_id": "9175095"}, {"ref": "yifeiqian/kernel3b5f70fb41", "kernel_id": "9175064"}, {"ref": "lucasiscovici/kernel646a510d30", "kernel_id": "9177556"}, {"ref": "shalabh2906/exciting-research-trend-visualization-covid-19", "kernel_id": "9587879"}, {"ref": "hanshengchen0319/ai20s-germany-prediction", "kernel_id": "9991414"}, {"ref": "sourire3223/fork-of-fork-of-ai20s-germany-prediction", "kernel_id": "10086342"}, {"ref": "arnadu/seirf-lmfit", "kernel_id": "10191581"}, {"ref": "wangpiaohong/rnn-scut", "kernel_id": "10467885"}, {"ref": "hanshengchen0319/fork-of-fork-of-ai20s-germany-prediction", "kernel_id": "10077573"}, {"ref": "abhiparashar/eda-covid-19-notebook-1", "kernel_id": "10112762"}, {"ref": "abhiparashar/eda-covid-19-notebook-3-effect-on-temperature", "kernel_id": "10186225"}, {"ref": "osamamicro/covid-19-global-forecast-seir-visualize-w3", "kernel_id": "10159296"}, {"ref": "dipesh80/covid-case-study", "kernel_id": "11549341"}, {"ref": "wangyufei27/arima1", "kernel_id": "11528706"}, {"ref": "mananjethwani/covid-19-effect-of-temperature-humidity", "kernel_id": "13226437"}, {"ref": "priyaltaksari/the-story-of-covid-19-in-india-eda-and-prediction", "kernel_id": "14318127"}, {"ref": "rohith2303/mini-project-covid-19-eda-forecasting", "kernel_id": "14512608"}, {"ref": "divyangyadav/covid-19-one-week-prediction-using-lstm", "kernel_id": "14486838"}, {"ref": "rekhav19bce1871/review-1", "kernel_id": "20215298"}, {"ref": "rekhav19bce1871/forecasting-covid-19", "kernel_id": "20730790"}, {"ref": "chandranvenkatesan/covid-19-projection-using-lstm", "kernel_id": "21406101"}, {"ref": "malakim/mk-a-study-on-covid-19-using-seir-hcd-model", "kernel_id": "24988767"}, {"ref": "nimish17/the-story-of-covid-19-in-india-eda-and-prediction", "kernel_id": "25511976"}, {"ref": "karllissonhenrique/covid-19-projection-using-lstm", "kernel_id": "27140620"}, {"ref": "umair3649/assignment-task", "kernel_id": "32907987"}, {"ref": "baqerhakim/feature-selection-by-lda-pca-and-svd", "kernel_id": "47634425"}, {"ref": "akshaankhan/covid-19-projection-using-lstm", "kernel_id": "54566799"}, {"ref": "callmevartak/covid-19-projection-using-lstm-psc", "kernel_id": "70361247"}, {"ref": "sammnyujoshii/the-story-of-covid-19-in-india-eda", "kernel_id": "115364102"}]}
{"competition_id": "19856", "kernels": []}
{"competition_id": "19866", "kernels": [{"ref": "pavelvod/starter-notebook", "kernel_id": "8762842"}]}
{"competition_id": "19874", "kernels": []}
{"competition_id": "19877", "kernels": [{"ref": "kuantinglai/kernelbe77eef16b", "kernel_id": "8731891"}]}
{"competition_id": "19882", "kernels": []}
{"competition_id": "19884", "kernels": []}
{"competition_id": "19887", "kernels": []}
{"competition_id": "19893", "kernels": []}
{"competition_id": "19895", "kernels": []}
{"competition_id": "19897", "kernels": [{"ref": "whoiskk/getting-started-with-whoisafriend", "kernel_id": "8802240"}, {"ref": "whoiskk/1-0-solution-no-machine-learning", "kernel_id": "8806307"}, {"ref": "marison/my-approach-for-who-is-a-friend", "kernel_id": "8819873"}]}
{"competition_id": "19902", "kernels": []}
{"competition_id": "19916", "kernels": []}
{"competition_id": "19924", "kernels": []}
{"competition_id": "19933", "kernels": []}
{"competition_id": "19946", "kernels": [{"ref": "jemcok/ki-boats", "kernel_id": "10102118"}]}
{"competition_id": "19955", "kernels": []}
{"competition_id": "19959", "kernels": []}
{"competition_id": "19965", "kernels": []}
{"competition_id": "19976", "kernels": [{"ref": "kirichenko17roman/kernel326d19135b", "kernel_id": "8980190"}, {"ref": "kirichenko17roman/the-best-solution", "kernel_id": "8860770"}, {"ref": "kirichenko17roman/decision-tree-baseline", "kernel_id": "8801768"}, {"ref": "dimapupkin/competition-covid-19-08042020", "kernel_id": "8825107"}, {"ref": "denromiro/third-run", "kernel_id": "9048040"}, {"ref": "denromiro/first-try-dr", "kernel_id": "9045924"}]}
{"competition_id": "19983", "kernels": []}
{"competition_id": "19988", "kernels": [{"ref": "jpmiller/finding-patterns-in-the-scored-targets", "kernel_id": "1642585"}, {"ref": "usharengaraju/moa-differential-privacy-using-tfprivacy-tpu", "kernel_id": "6147367"}, {"ref": "konradb/anomaly-detection", "kernel_id": "11795401"}, {"ref": "konradb/adversarial-validation-xgb-flavour", "kernel_id": "11775232"}, {"ref": "konradb/model-build-combo", "kernel_id": "11710551"}, {"ref": "konradb/build-model-svm", "kernel_id": "11757167"}, {"ref": "konradb/linear-model", "kernel_id": "11608897"}, {"ref": "krishnakalyan3/moa-catboost-baseline", "kernel_id": "11744482"}, {"ref": "kuberiitb/pca-feature-engineering-with-xgboost", "kernel_id": "11656347"}, {"ref": "kuberiitb/mechanisms-of-action-prediction-various-models", "kernel_id": "11534688"}, {"ref": "kailex/moa-transfer-recipe-with-smoothing", "kernel_id": "11722684"}, {"ref": "oostopitre/moa-pytorch-lightning-starter", "kernel_id": "11659769"}, {"ref": "hengck23/notebookf3b99a8d3d", "kernel_id": "11559154"}, {"ref": "fchollet/moa-keras-kerastuner-best-practices", "kernel_id": "11811128"}, {"ref": "maheshyadav1/moa-1111a-enrich-source", "kernel_id": "11717616"}, {"ref": "optimo/tabnetmultitaskclassifier", "kernel_id": "11667418"}, {"ref": "dmarkd/moa-prediction", "kernel_id": "11563972"}, {"ref": "ibraheemmoosa/from-just-the-targets", "kernel_id": "11675199"}, {"ref": "subbuvolvosekar/eda-model-moa", "kernel_id": "11535636"}, {"ref": "sudhanshuraheja/moa-cnn", "kernel_id": "11870597"}, {"ref": "mariosmaraziotis/mmpowers", "kernel_id": "11545528"}, {"ref": "vuppala/moa-eda", "kernel_id": "11929784"}, {"ref": "arpitsolanki14/moa-exploratory-analysis-pca-ensemble-models", "kernel_id": "11612440"}, {"ref": "avloss/i-map-umap", "kernel_id": "11564255"}, {"ref": "avloss/vae-start", "kernel_id": "11592825"}, {"ref": "supreethmanyam/adversarial-moa-private-test-included", "kernel_id": "11523325"}, {"ref": "chriscc/target-stacking", "kernel_id": "11683524"}, {"ref": "aguirremimoun/moa-rf-xgboost", "kernel_id": "11637549"}, {"ref": "tolgadincer/blending-multilabeled-models-with-scipy", "kernel_id": "11922111"}, {"ref": "tolgadincer/moa-tensorflow-fast-convergence", "kernel_id": "11898823"}, {"ref": "tolgadincer/mlsmote", "kernel_id": "11956548"}, {"ref": "tolgadincer/upsampling-multilabel-data-with-mlsmote", "kernel_id": "11994872"}, {"ref": "tolgadincer/moa-eda", "kernel_id": "11523163"}, {"ref": "viiids/initial-eda-oh-encoding-feature-scaling-kfold", "kernel_id": "11580218"}, {"ref": "nishimoto/lishmoa-lgbm1st", "kernel_id": "11672921"}, {"ref": "soerendip/multi-label-fastai-with-pytorch-model", "kernel_id": "11961799"}, {"ref": "soerendip/fastai-2-0-12-starter", "kernel_id": "11736954"}, {"ref": "simonmc/notebook1a3056f557", "kernel_id": "11621514"}, {"ref": "alekseyeliseev/moa-xgboost-baseline", "kernel_id": "11906676"}, {"ref": "aerdem4/moa-feature-importance-with-rapids-lofo", "kernel_id": "11536946"}, {"ref": "sunghun/moa-prediction-first-look-and-eda", "kernel_id": "11521686"}, {"ref": "simakov/multilabel-neural-network", "kernel_id": "11522428"}, {"ref": "simakov/keras-multilabel-neural-network-v1-2", "kernel_id": "11526912"}, {"ref": "rdekou/eda-and-simple-random-forest-model", "kernel_id": "11539122"}, {"ref": "rdekou/random-forest-model-h2o", "kernel_id": "11560307"}, {"ref": "kamaljain77/mechanisms-of-action-moa-prediction-eda", "kernel_id": "11819264"}, {"ref": "robikscube/mechanisms-of-action-moa-prediction-starter", "kernel_id": "11523469"}, {"ref": "adelinocpp/try-01", "kernel_id": "11925457"}, {"ref": "legend507/eda-mechanisms-of-action-moa-prediction", "kernel_id": "11879629"}, {"ref": "alijs1/moa-features-columns-reference", "kernel_id": "11524303"}, {"ref": "yyoshiaki/eda-scanpy-bioinformatics-standard-analysis", "kernel_id": "11967589"}, {"ref": "barun2104/moa-getting-started-eda", "kernel_id": "11586645"}, {"ref": "shashaalam/moa-drugs-prediction-with-catboost", "kernel_id": "11545283"}, {"ref": "senkin13/moa-lightgbm-starter-with-nonscored-meta-feature", "kernel_id": "11535683"}, {"ref": "artgor/inference-kernel", "kernel_id": "11523989"}, {"ref": "artgor/lish-moa-baseline-approach", "kernel_id": "11521312"}, {"ref": "artgor/code-for-live-pair-coding", "kernel_id": "11559338"}, {"ref": "isaienkov/moa-prediction-interesting-findings", "kernel_id": "11775881"}, {"ref": "isaienkov/mechanisms-of-action-moa-prediction-eda", "kernel_id": "11520490"}, {"ref": "isaienkov/keras-autoencoder-dae-neural-network-starter", "kernel_id": "11533549"}, {"ref": "wburchenal/moa-analysis", "kernel_id": "11897282"}, {"ref": "sudokill/moa-keras-simple-resnet-first-submission", "kernel_id": "11800000"}, {"ref": "sudokill/simple-resnet-10-fold-ensemble", "kernel_id": "11840719"}, {"ref": "kuldeep7688/simple-sklearn-logistic-baseline", "kernel_id": "11639664"}, {"ref": "matthewmasters/mechanisms-of-action-moa-prediction-45d6ed", "kernel_id": "11802794"}, {"ref": "geekysaint/mechanism-of-action-prediction-eda", "kernel_id": "11845718"}, {"ref": "shams1/mechanisms-of-action-moa-prediction-eda", "kernel_id": "11596220"}, {"ref": "shams1/drugs-classification-mechanisms-of-action", "kernel_id": "11577871"}, {"ref": "shams1/moa-pytorch-nn-starter", "kernel_id": "11554170"}, {"ref": "nicapotato/mechanism-of-action-exploration", "kernel_id": "11650849"}, {"ref": "deepakjhanji/moa-prediction-v1-0", "kernel_id": "11808842"}, {"ref": "hkailee/moa-eda-from-a-computational-biologist", "kernel_id": "11689911"}, {"ref": "worldkeeping/mlp-multilabel-baseline-model-pytorch-walkthrough", "kernel_id": "11928563"}, {"ref": "afajohn/h2o-individual-models-vs-positive-counts", "kernel_id": "11886586"}, {"ref": "jeeperscreepers/svc-model-pca-what-targets-perform-poorly", "kernel_id": "11961518"}, {"ref": "prasunmishra/nn-kfold-targets-noscored-wnorm-adamw", "kernel_id": "11607607"}, {"ref": "headsortails/explorations-of-action-moa-eda", "kernel_id": "11521304"}, {"ref": "vaslem/mechanisms-of-action-moa-prediction", "kernel_id": "11786734"}, {"ref": "msabr027/neural-network-tensorflow", "kernel_id": "11639685"}, {"ref": "mkbond777/lish-moa-eda", "kernel_id": "11566694"}, {"ref": "nacolee/moa-pytorch-nn-starter", "kernel_id": "11537369"}, {"ref": "heitorbaldo/moa-prediction-python", "kernel_id": "11865959"}, {"ref": "heitorbaldo/moa-prediction-pca-dnn-r", "kernel_id": "11869828"}, {"ref": "gsdeepakkumar/moa-basic-eda-clustering", "kernel_id": "11777611"}, {"ref": "devanshu125/drug-moa-dl-starter-approach", "kernel_id": "11556406"}, {"ref": "pradeepmuniasamy/drugs-classification-start-here", "kernel_id": "11633894"}, {"ref": "krisho007/moa-pytorch-lightning-kfold", "kernel_id": "11590773"}, {"ref": "krisho007/moa-fastai-kfold", "kernel_id": "11790431"}, {"ref": "krisho007/moa-pytorch-lightning-inference", "kernel_id": "11741798"}, {"ref": "krisho007/moa-pytorch-lightning-params-tuning-optuna", "kernel_id": "11902000"}, {"ref": "krisho007/log-loss-dumb-model-lb-score-0-023", "kernel_id": "11979697"}, {"ref": "nyk510/build-model-svm-using-bagging", "kernel_id": "11794924"}, {"ref": "brunods10/moa-eda-clustering", "kernel_id": "11543833"}, {"ref": "sambitmukherjee/multilabel-stratified-k-fold-creation", "kernel_id": "11588119"}, {"ref": "hengzheng/gpu-split-neural-network-approach-tf-keras", "kernel_id": "11663016"}, {"ref": "hengzheng/gpu-split-neural-network-approach-tf-keras-v2", "kernel_id": "11666020"}, {"ref": "sarthak97/tf-keras-5-folds-nn-starter", "kernel_id": "11759051"}, {"ref": "sarthak97/lish-moa-simple-eda-baseline-model", "kernel_id": "11636904"}, {"ref": "andypenrose/moa-pytorch-nn-starter-with-weight-decay", "kernel_id": "11553314"}, {"ref": "saiyanwarrior/moa-train-and-predict-easy-to-understand-code", "kernel_id": "11781284"}, {"ref": "shaitender/moa-prediction", "kernel_id": "11567579"}, {"ref": "hamishdickson/tabnetmultitaskclassifier", "kernel_id": "11702733"}, {"ref": "rftexas/moa-in-depth-eda-start-here", "kernel_id": "11537710"}, {"ref": "ludovick/introduction-to-tabnet-kfold-10-inference", "kernel_id": "11698423"}, {"ref": "ludovick/introduction-to-tabnet-kfold-10-training", "kernel_id": "11698585"}, {"ref": "ludovick/training-moa-baseline-mlp-kfold-10", "kernel_id": "11543457"}, {"ref": "ludovick/inference-moa-baseline-mlp-kfold-10", "kernel_id": "11544238"}, {"ref": "alturutin/moa-logreg-rapids", "kernel_id": "11620414"}, {"ref": "alturutin/moa-eda-means-baseline", "kernel_id": "11596995"}, {"ref": "alturutin/moa-mlp", "kernel_id": "11756133"}, {"ref": "alturutin/mlp-onecyclelr-pseudolabeling", "kernel_id": "11862242"}, {"ref": "alturutin/adversarial-validation", "kernel_id": "11858246"}, {"ref": "ihelon/moa-prediction-eda", "kernel_id": "11520495"}, {"ref": "brunoluiz01/notebooke6d07b495e", "kernel_id": "11681879"}, {"ref": "docxian/target-correlation", "kernel_id": "11522238"}, {"ref": "maxwienandts/a-simple-and-direct-lightgbm-model", "kernel_id": "11927013"}, {"ref": "shishu1421/fastai-for-tabular-data", "kernel_id": "11657843"}, {"ref": "shishu1421/keras-starter-moa", "kernel_id": "11549953"}, {"ref": "shishu1421/mechanisms-of-action-moa-prediction-eda", "kernel_id": "11548825"}, {"ref": "hongym7/eda-exploratory-data-analysis-for-beginner", "kernel_id": "11556160"}, {"ref": "hongym7/base-model-for-beginner", "kernel_id": "11531889"}, {"ref": "santiviquez/lasso-regressor-with-stratified-kfolds-moa", "kernel_id": "11545198"}, {"ref": "yamsam/notebook91cf287fa2", "kernel_id": "11816896"}, {"ref": "akashkr/moa-v2", "kernel_id": "11628603"}, {"ref": "dan3dewey/moa-or-not-moa", "kernel_id": "11657172"}, {"ref": "pavelvpster/moa-lgb-optuna", "kernel_id": "11547932"}, {"ref": "pavelvpster/moa-keras-optuna-rfecv", "kernel_id": "11741154"}, {"ref": "sarmat/simple-catalyst-pytorch-some-eda-and-kfold", "kernel_id": "11601265"}, {"ref": "parmarsuraj99/neural-mechanism-for-moa-keras", "kernel_id": "11556667"}, {"ref": "parmarsuraj99/fork-of-neural-mechanism-for-moa-keras", "kernel_id": "11646444"}, {"ref": "rohitr4307/moa-prediction-ensemble-randomsearch", "kernel_id": "11568324"}, {"ref": "blessondensil294/beginners-eda-viz-moa-drug-prediction", "kernel_id": "11532697"}, {"ref": "amananand32/moa-eda", "kernel_id": "11549841"}, {"ref": "yamanity/xgb-multioutputclassifier-moa", "kernel_id": "11624563"}, {"ref": "yamanity/moa-eda-about-cp-type-ctl-vehicle", "kernel_id": "11706977"}, {"ref": "sishihara/moa-description-of-given-5-files", "kernel_id": "11521176"}, {"ref": "sishihara/moa-lgbm-benchmark", "kernel_id": "11521899"}, {"ref": "doguskidik/mechanisms-of-action-moa-prediction", "kernel_id": "11657925"}, {"ref": "yasufuminakama/moa-pytorch-nn-starter", "kernel_id": "11531439"}, {"ref": "nroman/moa-lightgbm-206-models", "kernel_id": "11520899"}, {"ref": "weiquanl/moa-manifold-learning", "kernel_id": "11610638"}, {"ref": "weiquanl/moa-magic-features-check-this-out", "kernel_id": "11653142"}, {"ref": "donggg1/new-baseline-pytorch-moa-6924a4", "kernel_id": "11741174"}, {"ref": "dongr0510/multi-label-classification-simple-example", "kernel_id": "11773531"}, {"ref": "benfraser/basic-exploration-and-submission", "kernel_id": "11580107"}, {"ref": "benfraser/deep-ann-tuning-and-submission", "kernel_id": "11853829"}, {"ref": "benfraser/exploring-unsupervised-features", "kernel_id": "11794218"}, {"ref": "aadhilimam/eda-and-xgboost", "kernel_id": "11573556"}, {"ref": "gabrielmpaula/moa-first-eda", "kernel_id": "11575515"}, {"ref": "pathofdata/ranking-with-pairwise-comparison", "kernel_id": "11630671"}, {"ref": "pathofdata/nn-with-skf-strategy", "kernel_id": "11613779"}, {"ref": "anmolkumar/mechanisms-of-action-moa-prediction", "kernel_id": "11579229"}, {"ref": "snievan/moa-with-dnn", "kernel_id": "11765665"}, {"ref": "mudittiwari255/pytorch-lightning-baseline", "kernel_id": "11540313"}, {"ref": "nocturnebflat123/plot-some-random-feature-distribution", "kernel_id": "11668342"}, {"ref": "jonykarki/simplified-eda", "kernel_id": "11567714"}, {"ref": "jonykarki/python-eda-simple", "kernel_id": "11604488"}, {"ref": "bigkizd/eda-pca-tsne-umap-2d-3d-lightgbm", "kernel_id": "11704329"}, {"ref": "dunklerwald/eda-simple-feature-reference-plus-pandas-profiler", "kernel_id": "11679927"}, {"ref": "kei96kag/moa-prediction-eda-data-understanding-by-r", "kernel_id": "11953923"}, {"ref": "akashsuper2000/inference-public-only-fast", "kernel_id": "11625763"}, {"ref": "sayedathar11/moa-nn-starter-kfold", "kernel_id": "11690658"}, {"ref": "kunduruanil/moa-prediction", "kernel_id": "11767478"}, {"ref": "kunduruanil/eda-mechanisms-of-action", "kernel_id": "11742019"}, {"ref": "kunduruanil/logloss-multilabel", "kernel_id": "11708462"}, {"ref": "kunduruanil/moa-validation-schema", "kernel_id": "11842889"}, {"ref": "kunduruanil/multiclass-moa", "kernel_id": "11915527"}, {"ref": "kunduruanil/moa-problemstatement-with-domain-knowledge", "kernel_id": "11635403"}, {"ref": "ukveteran/moa-eda-getting-started-in-progress-jma", "kernel_id": "11720405"}, {"ref": "michel7/notebook471bc8cc11", "kernel_id": "11960505"}, {"ref": "davidcairuz/adversarial-moa-can-we-trust-our-validation", "kernel_id": "11524094"}, {"ref": "subash03/moa-rf", "kernel_id": "11682130"}, {"ref": "muthu1698/mechanisms-of-action-moa-prediction-eda", "kernel_id": "11556195"}, {"ref": "nicohrubec/pytorch-multilabel-neural-network", "kernel_id": "11588219"}, {"ref": "nicohrubec/206-ridges-baseline", "kernel_id": "11542103"}, {"ref": "singhaditya5842/eda-exploratory-data-analysis", "kernel_id": "11549411"}, {"ref": "sajikim/moa-first-notebook-eda", "kernel_id": "11520317"}, {"ref": "kool777/mechanism-of-action-eda", "kernel_id": "11588564"}, {"ref": "shinomoriaoshi/hyperparameter-tuning-on-gpu-pytorch", "kernel_id": "11958394"}, {"ref": "shivangmathur/in-depth-target-features-analysis", "kernel_id": "11534997"}, {"ref": "andycheunghk/mechanisms-of-action-what-do-we-have-here", "kernel_id": "11853849"}, {"ref": "swarajshinde/mechanisms-of-action-moa-eda-lightgbm-baseline", "kernel_id": "11538886"}, {"ref": "rainmaker29/lb-0-022-tabnet-moa", "kernel_id": "11555337"}, {"ref": "sihagmnis36/a-baseline-randomforest-classifier", "kernel_id": "11554014"}, {"ref": "alexandervc/moa-data-visualization-via-dimensional-reduct", "kernel_id": "11524086"}, {"ref": "alexandervc/fast-dirty-feature-selection-g-100-best", "kernel_id": "11668719"}, {"ref": "alexandervc/moa-correlation-analysis-use-igraph", "kernel_id": "11593347"}, {"ref": "alexandervc/for-each-target-find-a-gene-best-predicting-it", "kernel_id": "11679514"}, {"ref": "avivlevi815/baseline-multi-xgboost", "kernel_id": "11725124"}, {"ref": "avivlevi815/baseline-multi-catboost", "kernel_id": "11742389"}, {"ref": "jaredsavage/mechanisms-of-action-first-look", "kernel_id": "11521402"}, {"ref": "yanivbl/yaniv2", "kernel_id": "11938943"}, {"ref": "fchmiel/xgboost-baseline-multilabel-classification", "kernel_id": "11545101"}, {"ref": "batprem/moa-prediction", "kernel_id": "11861654"}, {"ref": "mishraboi/moa-prediction-eda", "kernel_id": "11537038"}, {"ref": "eudmar/mechanisms-of-action-moa-feature-analysis", "kernel_id": "11926665"}, {"ref": "muellerzr/fastai-tabular", "kernel_id": "11907539"}, {"ref": "elcaiseri/moa-keras-multilabel-classifier-nn-starter", "kernel_id": "11642509"}, {"ref": "omarvivas/ensamble-catboost-lightgbm-yeojohnson", "kernel_id": "11579907"}, {"ref": "omarvivas/lightgbm-binary-tunning", "kernel_id": "11566050"}, {"ref": "omarvivas/catboost-noscored-logloss", "kernel_id": "11564490"}, {"ref": "yosukeyama/moa-pytorch-starter-weight-decay-top-feats", "kernel_id": "11617891"}, {"ref": "imeintanis/moa-nn-bayesian-optimisation-skopt", "kernel_id": "11544792"}, {"ref": "tpmeli/visual-guide-to-moa-eda-nn-walkthrough", "kernel_id": "11841846"}, {"ref": "smits31/moa-prediction", "kernel_id": "11782970"}, {"ref": "nakulsingh1289/moa-with-keras-for-beginner-s", "kernel_id": "11550943"}, {"ref": "pyj0695/01-eda", "kernel_id": "11805884"}, {"ref": "gunesevitan/mechanisms-of-action-moa-prediction-eda", "kernel_id": "11519914"}, {"ref": "soham1024/mechanisms-of-action-moa-rapids-gpu-knn", "kernel_id": "11531403"}, {"ref": "omfuke123/moa-quick-prediction", "kernel_id": "11644201"}, {"ref": "virajbagal/moa-pytorch-lightning-starter-train", "kernel_id": "11610940"}, {"ref": "tanulsingh077/tackling-any-kaggle-competition-the-noob-s-way", "kernel_id": "11571530"}, {"ref": "yushg123/moa-from-eda-to-modelling", "kernel_id": "11534018"}, {"ref": "sumitai/eda-mechanisms-of-action-moa-prediction", "kernel_id": "11570735"}, {"ref": "eiichishimizu/moa-prediction", "kernel_id": "11629384"}, {"ref": "latong/one-over-the-rest", "kernel_id": "11748963"}, {"ref": "maunish/moa-super-cool-eda-and-pytorch-baseline", "kernel_id": "11676026"}, {"ref": "shivam2811/moa-prediction", "kernel_id": "11851364"}, {"ref": "dunsin/investigate-and-visualizing-missing-variables", "kernel_id": "11539144"}, {"ref": "dunsin/investigate-and-visualize-missing-variables", "kernel_id": "11538621"}, {"ref": "domizianostingi/genes-distribution-for-categoricals-variables", "kernel_id": "11766128"}, {"ref": "domizianostingi/nn-kfold-for-tensorflow", "kernel_id": "11743462"}, {"ref": "arnabark/moa-basic-xgboost-with-hyperparameter-tuning", "kernel_id": "11693407"}, {"ref": "jandjane20/moa-prediction-eda-visualization-outliers", "kernel_id": "11575251"}, {"ref": "barteksadlej123/basic-logistic-regression", "kernel_id": "11552554"}, {"ref": "barteksadlej123/dnn-in-keras", "kernel_id": "11575322"}, {"ref": "ravy101/drug-moa-tf-keras-starter", "kernel_id": "11538869"}, {"ref": "ravy101/experimenting-with-gaussian-noise-aug-tf-keras", "kernel_id": "11584106"}, {"ref": "syedhamzahussain/cv-0140", "kernel_id": "11950220"}, {"ref": "gogo827jz/split-neural-network-approach-tf-keras", "kernel_id": "11612571"}, {"ref": "gogo827jz/moa-stacked-tabnet-baseline-tensorflow-2-0", "kernel_id": "11639054"}, {"ref": "gogo827jz/fork-of-keras-multilabel-neural-network", "kernel_id": "11545731"}, {"ref": "gogo827jz/hyperparameter-tuning-on-gpu", "kernel_id": "11560518"}, {"ref": "gogo827jz/hyperparameter-tuning-for-neural-network-on-tpu", "kernel_id": "11559738"}, {"ref": "gogo827jz/multiregression-catboost-1-model-for-206-targets", "kernel_id": "11795515"}, {"ref": "gogo827jz/moa-lstm-pure-transformer-fast-and-not-bad", "kernel_id": "11715462"}, {"ref": "gogo827jz/optimise-blending-weights-with-bonus-0", "kernel_id": "11706879"}, {"ref": "gogo827jz/kernel-logistic-regression-one-for-206-targets", "kernel_id": "11756414"}, {"ref": "gogo827jz/rapids-svm-on-gpu-6000-models-in-1-hour", "kernel_id": "11766409"}, {"ref": "gogo827jz/moa-neural-oblivious-decision-ensembles-tf-keras", "kernel_id": "11942562"}, {"ref": "ahmed4fee/mechanism-of-action", "kernel_id": "11704242"}, {"ref": "lucca9211/mechanisms-of-action-moa-eda", "kernel_id": "11631251"}, {"ref": "lucca9211/mechanisms-of-action-training", "kernel_id": "11754617"}, {"ref": "lucca9211/inference-of-mechanisms-of-action-moa", "kernel_id": "11794997"}, {"ref": "lucca9211/training-of-mechanisms-of-action-moa-eda", "kernel_id": "11774176"}, {"ref": "lucca9211/top-features", "kernel_id": "11987584"}, {"ref": "utkukubilay/deep-learning-model-moa", "kernel_id": "11639420"}, {"ref": "utkukubilay/drug-prediction-lgbm-model", "kernel_id": "11563611"}, {"ref": "utkukubilay/pytorch-moa-0-01867", "kernel_id": "11763398"}, {"ref": "ruchi798/moa-prediction-starter-notebook", "kernel_id": "11523151"}, {"ref": "arnimen5/eda-v-1", "kernel_id": "11523668"}, {"ref": "smerllo/understand-challenge-task-multilabel-imbalance", "kernel_id": "11521108"}, {"ref": "kongnyooong/moa-prediction-base-fast-ai-for-korean", "kernel_id": "11574221"}, {"ref": "kongnyooong/moa-prediction-xgboost", "kernel_id": "11649083"}, {"ref": "mahmoudvaziri/drug-sigmoid", "kernel_id": "11631982"}, {"ref": "shubham9455999082/keras-multilabel-neural-network-v1-2", "kernel_id": "11541076"}, {"ref": "praveen648/optuna-hyperparameter-neural-network", "kernel_id": "11638834"}, {"ref": "praveen648/reduce-overfit", "kernel_id": "11691824"}, {"ref": "shubham328/moa-mechanisms-of-action-prediction", "kernel_id": "11706229"}, {"ref": "heyytanay/moa-eda-pytorch-starter-notebook", "kernel_id": "11584853"}, {"ref": "amiiiney/drugs-moa-classification-eda", "kernel_id": "11524837"}, {"ref": "konumaru/pytorch-baseline", "kernel_id": "11652702"}, {"ref": "piantic/mechanisms-of-action-moa-prediction-basic-eda", "kernel_id": "11520706"}, {"ref": "raoofnaushad/moa-prediction-baseline", "kernel_id": "11645146"}, {"ref": "puran123/moa-eda-visualization", "kernel_id": "11793062"}, {"ref": "hhgami/notebook234b2577af", "kernel_id": "11985543"}, {"ref": "tatsuya214355/lightgbm-beginner-moa", "kernel_id": "11531849"}, {"ref": "adityak80/moa-eda-and-baseline-submission", "kernel_id": "11540243"}, {"ref": "catadanna/kaggle-moa-nn", "kernel_id": "11524101"}, {"ref": "kidoen/mechanismofaction-eda-model-pytorch", "kernel_id": "11573047"}, {"ref": "riadalmadani/ensamble-model", "kernel_id": "11674416"}, {"ref": "ajaykumar7778/fastai-tabular", "kernel_id": "11553792"}, {"ref": "ajaykumar7778/moa-pytorch-nn-starter", "kernel_id": "11560275"}, {"ref": "ajaykumar7778/fastai-tabular-covid", "kernel_id": "11688434"}, {"ref": "namanj27/catboost-moa-eda-starter", "kernel_id": "11531711"}, {"ref": "namanj27/new-baseline-pytorch-moa", "kernel_id": "11670341"}, {"ref": "sudiptog81/moa-prediction-using-ann", "kernel_id": "11849550"}, {"ref": "rokapre/moa-prediction-rf110-1055cp", "kernel_id": "11716038"}, {"ref": "iabhishekmaurya/moa-compete", "kernel_id": "11577688"}, {"ref": "nikilreddy/moa-xgb-1", "kernel_id": "11819621"}, {"ref": "nikilreddy/moa-fastai", "kernel_id": "11799994"}, {"ref": "narendrababu393/moa-starter-pytorch", "kernel_id": "11687639"}, {"ref": "morenovanton/moa-pipeline-scaler-pca-dnn-prediction", "kernel_id": "11990311"}, {"ref": "alphamuth/let-s-do-eda-a-robust-prediction-using-dnn-keras", "kernel_id": "11627791"}, {"ref": "kkhandekar/moa-predictions-xgboost-regressor", "kernel_id": "11601473"}, {"ref": "tuliofc/extratrees-baseline-multilabel-classification", "kernel_id": "11560043"}, {"ref": "bibhash123/moa-simple-transfer-model-using-tensorflow-keras", "kernel_id": "11943728"}, {"ref": "bibhash123/the-moa-challenge-an-analysis-of-the-data", "kernel_id": "11883702"}, {"ref": "bclark94/brandon-s-moa-submission-w-keras", "kernel_id": "11867111"}, {"ref": "nayuts/moa-gene-cell-data-distribution-4-moas", "kernel_id": "11935039"}, {"ref": "hetarthchopra/xgboost-catboost-ensemble-baseline-solution", "kernel_id": "11619600"}, {"ref": "akan27/mechanisms-of-action-moa-prediction-eda", "kernel_id": "11768898"}, {"ref": "sidharkal/mechanisms-of-action-prediction", "kernel_id": "11732554"}, {"ref": "sidharkal/mechanisms-of-action-prediction-with-simple-resnet", "kernel_id": "11806956"}, {"ref": "sidharkal/mechanisms-of-action-moa-prediction", "kernel_id": "11648329"}, {"ref": "mateusnobresantos/moa-lgb-optuna", "kernel_id": "11828570"}, {"ref": "elvinagammed/eda-kfolds-pytorch-starter", "kernel_id": "11659862"}, {"ref": "elvinagammed/moa-eda-feature-eng-custom-loss-tfkeras", "kernel_id": "11678378"}, {"ref": "lumierebatalong/moa-prediction-deep-learning", "kernel_id": "11883213"}, {"ref": "carlmcbrideellis/moa-setting-ctl-vehicle-0-improves-score", "kernel_id": "11563653"}, {"ref": "carlmcbrideellis/moa-baseline-0-02398-0-s-0-13073", "kernel_id": "11558328"}, {"ref": "tachyon777/moa-tachyon-v2", "kernel_id": "11817186"}, {"ref": "tachyon777/moa-tachyon-v1", "kernel_id": "11704087"}, {"ref": "tachyon777/moa-tachyon-v2-sub", "kernel_id": "11860851"}, {"ref": "aman2000jaiswal/moi-1133a-base-anmol", "kernel_id": "11739099"}, {"ref": "aman2000jaiswal/explore-to-train", "kernel_id": "11521491"}, {"ref": "hasnainajmal281/moa-prediction", "kernel_id": "11671162"}, {"ref": "nur988/simple-keras-moa", "kernel_id": "11750242"}, {"ref": "nareshbhat/moa-statistical-analysis-and-eda", "kernel_id": "11607408"}, {"ref": "frankmollard/dimensionality-reduction-3d-interactive", "kernel_id": "11586484"}, {"ref": "frankmollard/additional-observations", "kernel_id": "11768020"}, {"ref": "nxrprime/mechanisms-of-action-eda-for-starters", "kernel_id": "11520530"}, {"ref": "ruslankot/catboost-one-vs-rest", "kernel_id": "11651823"}, {"ref": "iamabhishekdas/moa-prediction-pytorch-cnn", "kernel_id": "11602481"}, {"ref": "para24/moa-nn", "kernel_id": "11563168"}, {"ref": "para24/ovr-vs-multioutput-vs-classifier-chaining", "kernel_id": "11543290"}, {"ref": "samratthapa/tabnet-implementation", "kernel_id": "11624804"}, {"ref": "abhirajkanse/pytorch-fcv1-0", "kernel_id": "11863241"}, {"ref": "zainahmad/moa-multilabel-classification-using-skmultilearn", "kernel_id": "11605710"}, {"ref": "otonyeamietubodie/moa-eda-and-prediction", "kernel_id": "11571833"}, {"ref": "datafan07/mechanisms-of-action-what-do-we-have-here", "kernel_id": "11573257"}, {"ref": "harutot/moa-minimal-data-look-in-and-pytorch-baseline", "kernel_id": "11588218"}, {"ref": "huntermitchell/moa-k-fold-ensemble-starter-nn-xgboost-logreg", "kernel_id": "11551072"}, {"ref": "davidoyelade/moa-prediciton-project", "kernel_id": "11864834"}, {"ref": "hannaliavoshka/mechanisms-of-action-moa-prediction", "kernel_id": "11633295"}, {"ref": "takeshikobayashi/moa-competition-eda", "kernel_id": "11591374"}, {"ref": "shirishsharma/jason-mo-moa", "kernel_id": "11605890"}, {"ref": "amanmishra4yearbtech/moa-keras-multilabel-neural-network-v-2-0", "kernel_id": "11583555"}, {"ref": "amanmishra4yearbtech/moa-keras-nn-with-swa", "kernel_id": "11555937"}, {"ref": "duttasd28/starter-moa", "kernel_id": "11584622"}, {"ref": "sayantankarmakar/moa-exploratory-data-analysis", "kernel_id": "11727213"}, {"ref": "archana20/simple-deep-learning-model-tutorial", "kernel_id": "11874873"}, {"ref": "quangnhatbui/moa-comp", "kernel_id": "11565599"}, {"ref": "furuhatakazuki/japanese-moa-prediction-eda", "kernel_id": "11555517"}, {"ref": "furuhatakazuki/japanese-moa-introduction", "kernel_id": "11565067"}, {"ref": "ryu581/moa-prediction-with-lightgbm", "kernel_id": "11664044"}, {"ref": "ilosvigil/install-python-library-on-offline-environment", "kernel_id": "11549577"}, {"ref": "dimasmunoz/keras-nn-with-cosine-annealing-lr", "kernel_id": "11889104"}, {"ref": "akshatsharma47/moa-higher-lr", "kernel_id": "11936531"}, {"ref": "ChristianDenich/neural-net-lr-schedulers-model-checkpts", "kernel_id": "11543810"}, {"ref": "ChristianDenich/tf-keras-multi-output-neuralnets-baseline-config", "kernel_id": "11710631"}, {"ref": "ssclairechen/neural-network-for-beginners", "kernel_id": "11835839"}, {"ref": "tomonorisasaki/eda-and-data-visualization-of-moa", "kernel_id": "11525010"}, {"ref": "dubeyumang/moa-for-beginners", "kernel_id": "11719297"}, {"ref": "manjjimnav/baseline-experimentation", "kernel_id": "11647219"}, {"ref": "ilikedeeplearning/basic-data-exploration-benchmark", "kernel_id": "11638365"}, {"ref": "underwearfitting/inference-public-only-fast", "kernel_id": "11584722"}, {"ref": "mvnewlife/mnl-moa", "kernel_id": "11655550"}, {"ref": "stanleyjzheng/multilabel-neural-network-improved", "kernel_id": "11540780"}, {"ref": "stanleyjzheng/baseline-nn-with-k-folds", "kernel_id": "11520286"}, {"ref": "stanleyjzheng/moa-convolutional-neural-net-on-tabular-data", "kernel_id": "11731698"}, {"ref": "vinayvishwkarma/fastai-for-tabular-data", "kernel_id": "11856934"}, {"ref": "dylan6thomas/mechanisms-of-action-competition-2", "kernel_id": "11714634"}, {"ref": "thevheed/lish-moa-2", "kernel_id": "11705567"}, {"ref": "sahilmaheshwari/mechanism-of-action-moa", "kernel_id": "11870978"}, {"ref": "yutohisamatsu/mechanisms-of-action-moa-prediction-eda", "kernel_id": "11833989"}, {"ref": "yutohisamatsu/moa-keras-multilabel-neural-network-v1-2", "kernel_id": "11979428"}, {"ref": "yutohisamatsu/moa-prediction-pytorch-nn-starter", "kernel_id": "11947067"}, {"ref": "mannsingh/simple-xgboost-model-for-beginners", "kernel_id": "11520135"}, {"ref": "rajathiyer/simple-linear-regression", "kernel_id": "11574958"}, {"ref": "vuonglam/moa-k-fold-ensemble", "kernel_id": "11784428"}, {"ref": "shaswatsingh/notebook9a28456835", "kernel_id": "11693520"}, {"ref": "thakurudit/moa-rankgauss-tabnet-resnet-labelsmooth-xgb", "kernel_id": "11531776"}, {"ref": "nelsonewert/moa-multioutput-classification", "kernel_id": "11582250"}, {"ref": "junpenggong/jp-lightgbm", "kernel_id": "11860351"}, {"ref": "joshuaquekhk/eda-moa", "kernel_id": "11815874"}, {"ref": "woniuxiao/notebookc005faaaa5", "kernel_id": "11892512"}, {"ref": "ksouriazer/the-power-of-blend", "kernel_id": "11653386"}, {"ref": "ridwanolawin/finalsubmission", "kernel_id": "11794302"}, {"ref": "ducksquadggez/moa-kfold-data-trim-amount2say", "kernel_id": "11860504"}, {"ref": "hamishs/moa-keras-bayesian-optimisation", "kernel_id": "11824888"}, {"ref": "konradb/create-folds", "kernel_id": "12707854"}, {"ref": "dyakonov/moa-nn-04", "kernel_id": "12516810"}, {"ref": "statsinthewild/wtfff", "kernel_id": "12670216"}, {"ref": "titericz/plain-average-baseline", "kernel_id": "12535493"}, {"ref": "superant/moa-pytorch-succinct", "kernel_id": "12493405"}, {"ref": "jiweiliu/moa-all-rapids", "kernel_id": "12614920"}, {"ref": "ericfreeman/moa-multi-input-resnet-model", "kernel_id": "12400093"}, {"ref": "yassinealouini/mlsmote-for-moa", "kernel_id": "12351999"}, {"ref": "yassinealouini/one-target-tabnet", "kernel_id": "12222180"}, {"ref": "yassinealouini/multiple-targets-classification-tabnet", "kernel_id": "12251945"}, {"ref": "yassinealouini/eda-for-moa", "kernel_id": "12049054"}, {"ref": "yassinealouini/mean-model-benchmark", "kernel_id": "12090111"}, {"ref": "optimo/selfsupervisedtabnet", "kernel_id": "12940244"}, {"ref": "optimo/tabnetregressor-2-0-train-infer", "kernel_id": "12322453"}, {"ref": "markpeng/deepinsight-efficientnet-b3-noisystudent", "kernel_id": "12669855"}, {"ref": "markpeng/deepinsight-transforming-non-image-data-to-images", "kernel_id": "12621740"}, {"ref": "jsmithperera/nn-pca-smoothing-non-scored-shuffling", "kernel_id": "12562354"}, {"ref": "jsmithperera/moa-nn-first-model", "kernel_id": "12212389"}, {"ref": "jsmithperera/nn-model-subsetting", "kernel_id": "12331432"}, {"ref": "jsmithperera/non-scored-in-parallel", "kernel_id": "12999643"}, {"ref": "terra286456/explorations-of-action-moa-eda", "kernel_id": "12541088"}, {"ref": "snooptosh/save-gpu-quota-during-commit-fork", "kernel_id": "12643833"}, {"ref": "chriscc/kubi-pytorch-moa-transfer", "kernel_id": "12036291"}, {"ref": "chriscc/kubi-pytorch-moa-multibrch-ohe", "kernel_id": "12028169"}, {"ref": "tolgadincer/moa-tensorfow-mx10", "kernel_id": "12172426"}, {"ref": "tolgadincer/iter-strat-some-seeds-are-better-than-others", "kernel_id": "12646680"}, {"ref": "tolgadincer/tf-keras-learning-rate-schedulers", "kernel_id": "12792057"}, {"ref": "tolgadincer/nn-lb-0-1836-t19", "kernel_id": "12847330"}, {"ref": "mineshjethva/smo-v1", "kernel_id": "12706128"}, {"ref": "mineshjethva/choose-and-optimize-scaler-parameters", "kernel_id": "12786420"}, {"ref": "eshine123/eda-of-moa-in-drug", "kernel_id": "12372283"}, {"ref": "wittmannf/quick-eda-and-baseline-submission-with-knn", "kernel_id": "12651129"}, {"ref": "wittmannf/quick-eda-and-baseline-submission-with-mlk", "kernel_id": "12652366"}, {"ref": "wittmannf/quick-eda-and-baseline-submission-with-keras", "kernel_id": "12652574"}, {"ref": "alekseyeliseev/moa-ann-baseline", "kernel_id": "12422152"}, {"ref": "nikhilcrao/mechanisms-of-action-moa-prediction-eda", "kernel_id": "12599600"}, {"ref": "bjoernholzhauer/drugs-the-new-train-drug-csv-file-explored", "kernel_id": "12675534"}, {"ref": "ibadia/exploratory-data-analysis-on-the-genes-data", "kernel_id": "12607870"}, {"ref": "rtindru/notebook8d3ad46e04", "kernel_id": "12818125"}, {"ref": "keremt/moa-tabular-starter", "kernel_id": "12631475"}, {"ref": "deathlyhallows/xg-boost-moa-baseline", "kernel_id": "12527580"}, {"ref": "deathlyhallows/moa-kfold-creation", "kernel_id": "12911145"}, {"ref": "shashankpulijala/shallow-models", "kernel_id": "12071640"}, {"ref": "shashankpulijala/moa-nn-pytorch-from-and-lunkya", "kernel_id": "12038735"}, {"ref": "shashankpulijala/tensorflow-2-0-version-1", "kernel_id": "12128774"}, {"ref": "code1110/moa-target-co-occurrence-analysis", "kernel_id": "12589182"}, {"ref": "code1110/moa-new-validation-based-on-drugid", "kernel_id": "12677962"}, {"ref": "code1110/moa-lgb-seed-average", "kernel_id": "12520045"}, {"ref": "rosarr/fork-of-rapids-svc-nonscored", "kernel_id": "12930139"}, {"ref": "rosarr/mode-action3", "kernel_id": "12088900"}, {"ref": "gvyshnya/automating-eda-and-feature-importance-detection", "kernel_id": "12166734"}, {"ref": "gvyshnya/permutative-feature-importance", "kernel_id": "12184423"}, {"ref": "rsesha/another-autoviz-on-moa-kaggle-competition", "kernel_id": "12157988"}, {"ref": "rsesha/autoviz-on-moa-kaggle-competition", "kernel_id": "12084428"}, {"ref": "yschoe/enjoy-the-moa-competition-with-pytorch", "kernel_id": "12054408"}, {"ref": "a763337092/mlp123-lstm-cnn-blending1120", "kernel_id": "12988155"}, {"ref": "mnk812/moa-pytorch-baseline2-inference", "kernel_id": "12346956"}, {"ref": "mnk812/moa-make-folds", "kernel_id": "12856932"}, {"ref": "lhagiimn/pytorch-end2end-implementation-using-autoencoder", "kernel_id": "12228587"}, {"ref": "lhagiimn/t-test-with-logistic-regression", "kernel_id": "12680397"}, {"ref": "lhagiimn/random-ensemble-neural-networks", "kernel_id": "12718838"}, {"ref": "afg101/test-6", "kernel_id": "12600795"}, {"ref": "sergeydor/notebookc256ef4cbe", "kernel_id": "12328696"}, {"ref": "crackle/moa-combined", "kernel_id": "12722854"}, {"ref": "crackle/moa-14", "kernel_id": "12379568"}, {"ref": "linkrw12/nni-hyperparam-xgboost", "kernel_id": "12102099"}, {"ref": "yeayates21/moa-textbook-sklearn", "kernel_id": "12158633"}, {"ref": "yeayates21/moa-basic-fast-ai", "kernel_id": "12829507"}, {"ref": "matthewmasters/visualizing-trends-between-gene-and-cell-features", "kernel_id": "12409701"}, {"ref": "matthewmasters/the-dolphin-of-moa", "kernel_id": "12460871"}, {"ref": "iraqai/first-try-random-bigining", "kernel_id": "12943076"}, {"ref": "afajohn/label-based-feature-importance", "kernel_id": "12046885"}, {"ref": "jeeperscreepers/woe-nn-0d92b4", "kernel_id": "12905221"}, {"ref": "narendra/moa-dae-model", "kernel_id": "12894178"}, {"ref": "narek1110/pzad-hw3-test-submission", "kernel_id": "12598948"}, {"ref": "wwhlazio/notebookb9819c8d17", "kernel_id": "12115789"}, {"ref": "bootiu/moa-pytorch-lightning-baseline", "kernel_id": "12147082"}, {"ref": "heitorbaldo/moa-prediction-pca-dnn-python", "kernel_id": "12854255"}, {"ref": "ekholme/moa-eda-and-baseline", "kernel_id": "12259380"}, {"ref": "ekholme/logistic-reg-with-pca", "kernel_id": "12664608"}, {"ref": "ekholme/baseline-rf-submission", "kernel_id": "12371734"}, {"ref": "ottpocket/denoising-autoencoder-swap-noise", "kernel_id": "12372966"}, {"ref": "urvishp80/moa-pytorch-resnet-1830", "kernel_id": "12785033"}, {"ref": "krisho007/tabnetregressor-optimizing-using-optuna", "kernel_id": "12334578"}, {"ref": "krisho007/stratified-kfold-including-drug-id", "kernel_id": "12690757"}, {"ref": "krisho007/7fold-3seed-inference-tta", "kernel_id": "12855086"}, {"ref": "gambrinus/tabnet-moa", "kernel_id": "12831857"}, {"ref": "cgaydon/downoading-pip-packages", "kernel_id": "12980978"}, {"ref": "bowaka/moa-benefits-of-nn-trained-on-single-targets", "kernel_id": "12892169"}, {"ref": "bowaka/moa-feature-selection-cp-dose-cp-time", "kernel_id": "12708693"}, {"ref": "brunods10/mastering-matplotlib", "kernel_id": "12517484"}, {"ref": "felipebihaiek/adversarial-validation-catastrophe", "kernel_id": "12283195"}, {"ref": "felipebihaiek/torch-continued-training-from-auxiliary-targets", "kernel_id": "12209706"}, {"ref": "felipebihaiek/torch-continued-from-auxiliary-targets-smoothing", "kernel_id": "12229797"}, {"ref": "felipebihaiek/prediction-with-swap-auto-encoder-features-0-01865", "kernel_id": "12696424"}, {"ref": "felipebihaiek/my-2-cents-on-an-accurate-per-experiment-split", "kernel_id": "12653676"}, {"ref": "felipebihaiek/pytorch-swap-denoisingautoencoder", "kernel_id": "12654111"}, {"ref": "ragnar123/moa-baseline-easy-permutation-imp", "kernel_id": "12067957"}, {"ref": "ragnar123/moa-dnn-feature-engineering", "kernel_id": "12110559"}, {"ref": "mosrihari/moa-v1", "kernel_id": "12144817"}, {"ref": "gireeshs/beginners-guide-to-pca", "kernel_id": "12199180"}, {"ref": "sklasfeld/mechanism-action-nn-baseline", "kernel_id": "12443877"}, {"ref": "nurmannaz/knn-with-rapids-cuml-example", "kernel_id": "12977876"}, {"ref": "rftexas/mastering-pca-an-essential-tool-for-data-science", "kernel_id": "12669634"}, {"ref": "rftexas/moa-model-start-here", "kernel_id": "12626838"}, {"ref": "alturutin/moa-tabnet", "kernel_id": "12578148"}, {"ref": "alturutin/moa-inference", "kernel_id": "12100451"}, {"ref": "alturutin/moa-resnet", "kernel_id": "12083420"}, {"ref": "alturutin/moa-t-test-outliers-segmentation-interactions", "kernel_id": "12285240"}, {"ref": "alturutin/moa-mlp-gelu", "kernel_id": "12842229"}, {"ref": "lashamaev/baseline6", "kernel_id": "12906163"}, {"ref": "paantya/lish-moa-notebook", "kernel_id": "12994000"}, {"ref": "mihirps18/kaggle-moa-hyperparameter-tuning-using-hyperopt", "kernel_id": "12563624"}, {"ref": "fedorlebed/local-pca", "kernel_id": "12501453"}, {"ref": "fedorlebed/local-coords", "kernel_id": "12498753"}, {"ref": "fedorlebed/boss-bayesian", "kernel_id": "12562588"}, {"ref": "fedorlebed/boss-nn-dropout", "kernel_id": "12561001"}, {"ref": "fedorlebed/boss-nn", "kernel_id": "12557800"}, {"ref": "fedorlebed/bosss-pca", "kernel_id": "12537034"}, {"ref": "fedorlebed/boss-pca", "kernel_id": "12535826"}, {"ref": "fedorlebed/histo", "kernel_id": "12534651"}, {"ref": "fedorlebed/baseline", "kernel_id": "12440849"}, {"ref": "fedorlebed/nn-baseline", "kernel_id": "12442067"}, {"ref": "fedorlebed/tabnetregressor-with-unscored-boost", "kernel_id": "12569968"}, {"ref": "svobodnik86/tell-me-why-no-transfer", "kernel_id": "12343253"}, {"ref": "nakhodnov17/simplenn", "kernel_id": "12577794"}, {"ref": "tj0612/moa-prediction-target-co-occurrence-visualization", "kernel_id": "12094573"}, {"ref": "gauravchopracg/moa-simple-feature-engineering", "kernel_id": "12326945"}, {"ref": "kibuna/kibuna-nn-hs-1024-last-train", "kernel_id": "12913824"}, {"ref": "dan3dewey/moa-peel-the-onion", "kernel_id": "12348136"}, {"ref": "pavelvpster/moa-ensemble", "kernel_id": "12036739"}, {"ref": "mdhrumil/hg-baseline-1", "kernel_id": "12949927"}, {"ref": "ash1706/reducing-moa-autoencoder-pca-t-svd", "kernel_id": "12198203"}, {"ref": "ash1706/exploring-moa-eda-pca-xgboost", "kernel_id": "12074180"}, {"ref": "ash1706/sampling-moa-mlsmote-pytorch-rankgauss-tsvd", "kernel_id": "12630360"}, {"ref": "ash1706/moa-randomoversampler-drug-id-fixed-imbalance", "kernel_id": "12874581"}, {"ref": "ash1706/moa-sampling-transfer-learning-non-scored", "kernel_id": "12899377"}, {"ref": "blessondensil294/moa-public-submission-notebook", "kernel_id": "12801703"}, {"ref": "nvnvashisth/eda-moa", "kernel_id": "12201415"}, {"ref": "nvnvashisth/moa-feature-engineering", "kernel_id": "12514434"}, {"ref": "nasere/catboost-with-ovr", "kernel_id": "12315911"}, {"ref": "yfszzx/multi-model", "kernel_id": "12186202"}, {"ref": "ashwathshetty/moa-simple-analysis-and-model", "kernel_id": "12817591"}, {"ref": "maltsevan/moa-pzad", "kernel_id": "12454623"}, {"ref": "anonamename/moa-lgbmclassifier-classifierchain", "kernel_id": "12854113"}, {"ref": "anonamename/moa-self-stacking-xgboost", "kernel_id": "12905399"}, {"ref": "anonamename/moa-lightgbm", "kernel_id": "12903922"}, {"ref": "anonamename/moa-rapids-svm-seed01", "kernel_id": "12934235"}, {"ref": "tusharkale/moa-keras-kerastuner-best-practices", "kernel_id": "12226781"}, {"ref": "acapricorni/moa-data-analysis", "kernel_id": "12200282"}, {"ref": "acapricorni/moa-stacking-nn-lgbm", "kernel_id": "12572839"}, {"ref": "cdeotte/rapids-genetic-algorithm-knn-cv-0-01840", "kernel_id": "12962593"}, {"ref": "srutimallik/moa-v3", "kernel_id": "12828804"}, {"ref": "evgkol/moa-pzad", "kernel_id": "12457212"}, {"ref": "benfraser/moa-dnn-cnn-deep-dive", "kernel_id": "12168013"}, {"ref": "vbmokin/moa-pytorch-rankgauss-pca-nn-upgrade-3d-visual", "kernel_id": "12599624"}, {"ref": "ozoozo/moa-basic-lightgbm", "kernel_id": "12042743"}, {"ref": "ozoozo/moa-basic-keras-nn-modelling", "kernel_id": "12074353"}, {"ref": "dwchen/moa-lightgbm-baseline-with-feature", "kernel_id": "12431107"}, {"ref": "lcxustc/pca-tree-based-model", "kernel_id": "12152238"}, {"ref": "arunamenon/moa-predictions-base-model", "kernel_id": "12485765"}, {"ref": "jb4rogue/simple-nn-keras-pca-optimized", "kernel_id": "12999901"}, {"ref": "vsharkeev/moa-prediction", "kernel_id": "12701161"}, {"ref": "shakjm/moa-pytorch-nn-starter-addition", "kernel_id": "12472722"}, {"ref": "corrrado/pca-logreg", "kernel_id": "12662969"}, {"ref": "khayashima/causal-tree-model-debugging", "kernel_id": "12098442"}, {"ref": "fiuzatayna/moa-prediction-python", "kernel_id": "12380231"}, {"ref": "rtombs/linear-combinations-of-linear-models-moa", "kernel_id": "12487944"}, {"ref": "dravid/moa-dataanalysis", "kernel_id": "12933811"}, {"ref": "vilijanmonev/what-the-model-thinks-about-the-train-data", "kernel_id": "12526587"}, {"ref": "akashsuper2000/moa-ensemble", "kernel_id": "12280905"}, {"ref": "akashsuper2000/fork-of-2heads-looper-super-puper", "kernel_id": "12506661"}, {"ref": "akashsuper2000/moa-pytorch-rankgauss-pca-nn-upgrade-3d-visual", "kernel_id": "12636143"}, {"ref": "akashsuper2000/simple-deep-learning-model-for-moa-part-2", "kernel_id": "12909599"}, {"ref": "ashiqueeelahi/moa-model-and-validation", "kernel_id": "12737378"}, {"ref": "ashiqueeelahi/submission-problems-and-solutions", "kernel_id": "12903913"}, {"ref": "liuhdme/moa-competition", "kernel_id": "12236588"}, {"ref": "ravasiliev/eda-ravasiliev-pzad", "kernel_id": "12443704"}, {"ref": "ravasiliev/ravasiliev-model-creation-pzad", "kernel_id": "12580073"}, {"ref": "gopidurgaprasad/moa-predict-cp-dose-cp-time-with-acc-0-94", "kernel_id": "12687250"}, {"ref": "vithal2311/moa-deep-learning-simple-code", "kernel_id": "12071461"}, {"ref": "thienkaka/notebookeda33f617a", "kernel_id": "12157580"}, {"ref": "marychin/moa-lightgbm-only-private-score-0-01697", "kernel_id": "12400684"}, {"ref": "hasan7/moa-nn-ensamble", "kernel_id": "12518214"}, {"ref": "hasan7/moa-keras-ht", "kernel_id": "12497181"}, {"ref": "hasan7/eda-moa", "kernel_id": "12256397"}, {"ref": "tejasharitsavk/mechanisms-of-action-moa-prediction-v3-2", "kernel_id": "12110691"}, {"ref": "striker7/mechanisms-of-action-moa-predicti-fastai", "kernel_id": "12249923"}, {"ref": "kaerunantoka/pytorch-moa-dae-v5", "kernel_id": "12872149"}, {"ref": "jagdmir/moa-eda-model", "kernel_id": "12409497"}, {"ref": "amateurdesperado/pca-var-cv-simple-nn", "kernel_id": "12616532"}, {"ref": "amateurdesperado/new-submit", "kernel_id": "12461599"}, {"ref": "dliend/fastai-tabular-learner-moa-challenge", "kernel_id": "12767441"}, {"ref": "dliend/testing-moa-based-on-grid-search-results", "kernel_id": "12845972"}, {"ref": "dliend/fastai-tabular-learner-with-cross-validation", "kernel_id": "12979155"}, {"ref": "akiyoshisutou/notebookc3fdb7de57", "kernel_id": "12072521"}, {"ref": "dhirajchandak04/moa-prediction", "kernel_id": "12049070"}, {"ref": "thehemen/pytorch-transfer-learning-with-k-folds-by-drug-ids", "kernel_id": "12595725"}, {"ref": "simonofbritain/target-optimised-lightgbm-with-feature-selection", "kernel_id": "12590748"}, {"ref": "alexustyuzhanin/solution-pzad", "kernel_id": "12422551"}, {"ref": "windmen/score-38", "kernel_id": "12957359"}, {"ref": "alexandervc/lgb-worse-than-constant-dart-rules-optim-params", "kernel_id": "12731948"}, {"ref": "alexandervc/moa21-blend-exercises", "kernel_id": "12615946"}, {"ref": "alexandervc/moa-improve-knn-via-scikit-hubness-test-of-idea", "kernel_id": "12396316"}, {"ref": "alexandervc/moa50-logreg-blend-new-drugaware-folds", "kernel_id": "12997038"}, {"ref": "alexandervc/moa-mysterious-patterns-for-locallylinearembedding", "kernel_id": "12891663"}, {"ref": "alexandervc/moa37-boostings-blend-pdgfr-inhibitor", "kernel_id": "12826973"}, {"ref": "alexandervc/moa36-2-logreg-blend-v2", "kernel_id": "12811618"}, {"ref": "alexandervc/moa36-3-logreg-blend-v3", "kernel_id": "12811708"}, {"ref": "alexandervc/moa36-4-logreg-blend-v4", "kernel_id": "12811787"}, {"ref": "alexandervc/moa36-logreg-blend-v1", "kernel_id": "12803977"}, {"ref": "alexandervc/moa34-logreg-c-optimize-morals", "kernel_id": "12782797"}, {"ref": "alexandervc/moa-boostings-search-for-best-params", "kernel_id": "12760448"}, {"ref": "pawan2905/moa-eda-and-multilabel-classification", "kernel_id": "12133351"}, {"ref": "darvida/moa-competition", "kernel_id": "12805493"}, {"ref": "kotoro/moa-simple-keras-with-rankgauss-jp", "kernel_id": "12617626"}, {"ref": "c7934597/moa-pytorch-feature-engineering-0-01846", "kernel_id": "12595735"}, {"ref": "jessyco/moa-pca-pytorch", "kernel_id": "12952373"}, {"ref": "yxohrxn/mlpclassifier-fit", "kernel_id": "12118770"}, {"ref": "yxohrxn/tabnetclassifier-fit", "kernel_id": "12677920"}, {"ref": "yxohrxn/resnetclassifier-fit", "kernel_id": "12834037"}, {"ref": "yxohrxn/preprocessor-fit", "kernel_id": "12948624"}, {"ref": "yxohrxn/transformerclassifier-fit", "kernel_id": "12902776"}, {"ref": "yxohrxn/lstmclassifier-fit", "kernel_id": "12895576"}, {"ref": "batprem/notebook1c769faf43", "kernel_id": "12143829"}, {"ref": "meacca/eda-first-submit", "kernel_id": "12399136"}, {"ref": "radadiyamohit/blend-blend-blend", "kernel_id": "12587448"}, {"ref": "radadiyamohit/moa-post-processing", "kernel_id": "12968443"}, {"ref": "noelmat/5-fold-cv-with-nn-rankgauss-pca", "kernel_id": "12614007"}, {"ref": "noelmat/pytorch-starter", "kernel_id": "12556781"}, {"ref": "yangam/moa-prediction", "kernel_id": "12068201"}, {"ref": "alexandershpitalnik/first-submission", "kernel_id": "12425263"}, {"ref": "scleeza/cv6-tfa-labeling", "kernel_id": "12857431"}, {"ref": "chizuchizu/pytorch-simple-lstm-model", "kernel_id": "12197735"}, {"ref": "elcaiseri/moa-keras-newbaseline-initializers-featureseng", "kernel_id": "12525706"}, {"ref": "crafterkolyan/bndl-elu-2048-1024-2-5-5-smoth2e-4-pca-pzad", "kernel_id": "12585233"}, {"ref": "crafterkolyan/fork-of-moa-solution-v6-local-pzad", "kernel_id": "12547084"}, {"ref": "crafterkolyan/moa-solution-pzad", "kernel_id": "12402114"}, {"ref": "georgyk/first-attempt-pzad", "kernel_id": "12423736"}, {"ref": "georgyk/torch-cv-without-normalisation-pzad", "kernel_id": "12547351"}, {"ref": "georgyk/useful-visualizations-pzad", "kernel_id": "12567887"}, {"ref": "skryzhanovskaya/moa-prediction-nn", "kernel_id": "12581126"}, {"ref": "skryzhanovskaya/moa-prediction", "kernel_id": "12450196"}, {"ref": "dariapetrenko/submission-pytorch", "kernel_id": "12607196"}, {"ref": "dariapetrenko/sample-submission", "kernel_id": "12463079"}, {"ref": "tigersay/moa-1st-try-nn", "kernel_id": "12439251"}, {"ref": "ogoldobina/baseline-1", "kernel_id": "12461658"}, {"ref": "junhanhu/6254project", "kernel_id": "12972214"}, {"ref": "aredosbyk/notebookb061c42785", "kernel_id": "12439793"}, {"ref": "aredosbyk/notebook83e8d90dce", "kernel_id": "12591637"}, {"ref": "imeintanis/moa-check-your-oof-before-stacking", "kernel_id": "12884384"}, {"ref": "kuberport/belyankov-oleg-pzad", "kernel_id": "12452214"}, {"ref": "mamoru1992/pytorch-transfer-learning-with-k-folds-by-drug-ids", "kernel_id": "12990275"}, {"ref": "mamoru1992/pytorch-cv-0-0145-lb-0-01839", "kernel_id": "12722217"}, {"ref": "mamoru1992/all-zero", "kernel_id": "12722981"}, {"ref": "kentaroh34/moa-mlp", "kernel_id": "12636846"}, {"ref": "kentaroh34/neural-networks-for-multiple-labels", "kernel_id": "12584422"}, {"ref": "hiramcho/moa-tabnet-with-pca-rank-gauss", "kernel_id": "12355957"}, {"ref": "alexgregory/notebook1e207f083e", "kernel_id": "12240729"}, {"ref": "soumochatterjee/mechanisms-of-action-moa-prediction", "kernel_id": "12907438"}, {"ref": "josemori/moa-tabnet", "kernel_id": "12162872"}, {"ref": "aadhika3/notebook1640365c6c", "kernel_id": "12921886"}, {"ref": "nasirkhalid24/examining-the-16-known-experiments", "kernel_id": "12290134"}, {"ref": "promona/tabnet-library", "kernel_id": "12522728"}, {"ref": "amedprof/lgbm-custom-loss-one-lgb-for-206-labels", "kernel_id": "12933859"}, {"ref": "bjhoohaha/my-moa-notebook-draft", "kernel_id": "12026072"}, {"ref": "domizianostingi/blend-blend-blend", "kernel_id": "12297066"}, {"ref": "domizianostingi/top-5-leaderboard", "kernel_id": "12146035"}, {"ref": "gutomitai/drug-features-clustering-according-to-moa", "kernel_id": "12161444"}, {"ref": "ajax0564/notebook4bf1ffc8f6", "kernel_id": "12083268"}, {"ref": "amacpherson88/moa-tabnet-mlp-ensemble-private-lb-0-01628", "kernel_id": "12755352"}, {"ref": "jaketuricchi/comparing-multioutput-xgb-and-mlp-in-sklearn", "kernel_id": "12642468"}, {"ref": "nadarsubash/moa-prediction-using-xgboost", "kernel_id": "12949848"}, {"ref": "alexzhongyiz007/labels-vanilla-pytorch", "kernel_id": "12175373"}, {"ref": "takiyu/japanese-moa", "kernel_id": "12990786"}, {"ref": "tenduck/v1-start", "kernel_id": "12420124"}, {"ref": "pandaman817/ansenmble-lgbm-and-2pytorch-models", "kernel_id": "12959596"}, {"ref": "fushigen/nn-model-with-keras", "kernel_id": "12087336"}, {"ref": "fushigen/baseline-nn", "kernel_id": "12068934"}, {"ref": "mdfahimreshm/explore-the-magic-of-mean-top-2-of-the-publiclb", "kernel_id": "12166678"}, {"ref": "syoifczeri/submit-dummy-test", "kernel_id": "12617785"}, {"ref": "chrisrichardmiles/moa-visualizing-drug-classes", "kernel_id": "12596354"}, {"ref": "gogo827jz/moa-leaderboard-animation", "kernel_id": "12112228"}, {"ref": "gogo827jz/data-augmentation-ctgan", "kernel_id": "12240891"}, {"ref": "gogo827jz/moa-public-pytorch-node", "kernel_id": "12227112"}, {"ref": "gogo827jz/self-stacking-groupcv-xgboost", "kernel_id": "12874760"}, {"ref": "gogo827jz/multi-label-public-best-inference-pl", "kernel_id": "12860953"}, {"ref": "gogo827jz/groupcv-optimise-blending-weights-new", "kernel_id": "12812157"}, {"ref": "gogo827jz/groupcv-resdtnet-tf-keras", "kernel_id": "12981077"}, {"ref": "vineeth1999/moa-elasticnet", "kernel_id": "12533078"}, {"ref": "kasayu/keras-practice", "kernel_id": "12112544"}, {"ref": "kasayu/just-eda-for-mechanism-of-action", "kernel_id": "12108729"}, {"ref": "philboaz/top-3-methods-for-handling-missing-values-2020", "kernel_id": "12008833"}, {"ref": "saik345/mechanics-of-action-using-r", "kernel_id": "12780933"}, {"ref": "lucca9211/pytorchmoa", "kernel_id": "12422308"}, {"ref": "mukuldsagupta/moa-keras-2", "kernel_id": "12002940"}, {"ref": "pansofluck/xgboost-moa-submit", "kernel_id": "12025723"}, {"ref": "marvinsk8/keras-moa", "kernel_id": "12966068"}, {"ref": "danich329/mechanism-action-nn-baseline", "kernel_id": "12229943"}, {"ref": "salonisethiya/moa-kagggle", "kernel_id": "12798614"}, {"ref": "vikazrajpurohit/3-model-training-and-inference", "kernel_id": "12948696"}, {"ref": "gggupta2012/notebooke01a04147e", "kernel_id": "12081755"}, {"ref": "quandapro/moa-prediction-using-deep-neural-network", "kernel_id": "12141122"}, {"ref": "tuistan/mlsmote-6fbf38", "kernel_id": "12423603"}, {"ref": "tuistan/pytorch-moa-0-01867", "kernel_id": "12081817"}, {"ref": "tuistan/moa-predictions-overfitting-with-tabnet-3233e3", "kernel_id": "12845424"}, {"ref": "tuistan/moa-starter-inference-blending-pretrained-models", "kernel_id": "12895364"}, {"ref": "ahmedattia143/checkingmoame18-36", "kernel_id": "12986632"}, {"ref": "ppicheta/lish-moa-drug-aware-multilabelstratifiedkfold", "kernel_id": "12748614"}, {"ref": "chiser/eda-moa", "kernel_id": "12219409"}, {"ref": "haoweiiil/moa-random-forest-with-pca-and-neural-net", "kernel_id": "12599522"}, {"ref": "takadaat/mechanisms-of-action-moa-invase", "kernel_id": "12772447"}, {"ref": "sinamhd9/mechanisms-of-action-moa-tutorial", "kernel_id": "12364089"}, {"ref": "sinamhd9/hyperparameter-tuning-with-keras-tuner", "kernel_id": "12768214"}, {"ref": "huoxingshu123/moa-predictions-overfitting-with-tabnet-v1", "kernel_id": "12901635"}, {"ref": "huoxingshu123/blend", "kernel_id": "12903120"}, {"ref": "huoxingshu123/moa-pytorch-rankgauss-pca-nn-upgrade-3d-v1", "kernel_id": "12903008"}, {"ref": "subbhashit/moa-analysis-and-prediction-understandable", "kernel_id": "12412479"}, {"ref": "nomihsa965/moa-pre-trained-model-submission", "kernel_id": "12025105"}, {"ref": "bredonos/notebook016a046dc7", "kernel_id": "12380631"}, {"ref": "bredonos/notebook2d4f4b99fa", "kernel_id": "12591318"}, {"ref": "bredonos/notebookcae05416cd", "kernel_id": "12578363"}, {"ref": "louise2001/rapids-feature-importance-is-all-you-need", "kernel_id": "12839503"}, {"ref": "catadanna/moa-nn-fine-tuning", "kernel_id": "12201713"}, {"ref": "catadanna/kaggle-moa-pca", "kernel_id": "12420522"}, {"ref": "riadalmadani/keras-nn-pca", "kernel_id": "12358817"}, {"ref": "riadalmadani/keras-nn-pca-label-smoothing", "kernel_id": "12408173"}, {"ref": "riadalmadani/pytorch-cv-0-0145-lb-0-01839", "kernel_id": "12415157"}, {"ref": "riadalmadani/keras-nn-pca-with-label-smoothing", "kernel_id": "12467419"}, {"ref": "riadalmadani/kubi-pytorch-lb-0-01861", "kernel_id": "12567554"}, {"ref": "riadalmadani/averaging-public-kernels-0-01844", "kernel_id": "12313186"}, {"ref": "riadalmadani/moa-averaging-the-best-lb-kernels-0-01844", "kernel_id": "12313948"}, {"ref": "riadalmadani/nn-weighted-sum-cv-0-01477-lb-0-01864", "kernel_id": "12331903"}, {"ref": "riadalmadani/the-power-of-nn", "kernel_id": "12220596"}, {"ref": "riadalmadani/kubi-pytorch-moa-transfer-pca-rankgauss", "kernel_id": "12792388"}, {"ref": "vinniepalazeti/moa-pred", "kernel_id": "12649937"}, {"ref": "sahartodo/fastai-modified-tabularmodel", "kernel_id": "12995807"}, {"ref": "riyajm/tensorflow-starter-baseline", "kernel_id": "12509616"}, {"ref": "rahulsd91/moa-autoencoder-features-only-lb-0-01879", "kernel_id": "12207810"}, {"ref": "rahulsd91/moa-multi-input-resnet-model", "kernel_id": "12344067"}, {"ref": "rahulsd91/moa-anomaly-detection", "kernel_id": "12271983"}, {"ref": "rahulsd91/moa-starter-inference-blending-pretrained-models", "kernel_id": "12158305"}, {"ref": "rahulsd91/moa-label-smoothing", "kernel_id": "12116441"}, {"ref": "milev3005/notebook3c105af58e", "kernel_id": "12438778"}, {"ref": "jtourkis/moa-25-to-75-percentile-control-method", "kernel_id": "12364358"}, {"ref": "jtourkis/moa-stratified-multi-label-k-fold-notebook", "kernel_id": "12190594"}, {"ref": "lavanyask/moa-prediction-eda", "kernel_id": "12641166"}, {"ref": "lavanyask/moa-prediction-nn-kfold", "kernel_id": "12957460"}, {"ref": "lavanyask/moa-prediction-neural-network", "kernel_id": "12839758"}, {"ref": "bibhash123/moa-feature-selection-gaussrank", "kernel_id": "12650369"}, {"ref": "bibhash123/moa-transfer-learning-feature-selection-gaussrank", "kernel_id": "12605262"}, {"ref": "skinyx/moa-prediction-torch", "kernel_id": "12031343"}, {"ref": "anshu1595/moa-pca", "kernel_id": "12298682"}, {"ref": "nayuts/moa-pytorch-nn-pca-rankgauss", "kernel_id": "12022550"}, {"ref": "nayuts/moa-histgradientboostingregressor-baseline", "kernel_id": "12168540"}, {"ref": "nayuts/moa-train-nn-with-swa", "kernel_id": "12611141"}, {"ref": "huanghuangzhang/pytorch-hpstuning-optuna", "kernel_id": "12719532"}, {"ref": "huanghuangzhang/pytorch-cv-0-0145-lb-0-01839", "kernel_id": "12646950"}, {"ref": "roshankumarg/4-c-s-every-data-passionate-must-know", "kernel_id": "12549346"}, {"ref": "roshankumarg/extensive-guide-to-exploratory-data-analysis", "kernel_id": "12522302"}, {"ref": "vincentwang25/moa-each-drug-keep-the-same-moa-individually", "kernel_id": "12718784"}, {"ref": "ruichongwang/moa-scanpy-as-feature-w-o-internet-connection", "kernel_id": "12232549"}, {"ref": "matejhorvat/bla-droge", "kernel_id": "12240871"}, {"ref": "alexanderkholodov/solution-pzad", "kernel_id": "12445264"}, {"ref": "nur988/moa-eda", "kernel_id": "12163896"}, {"ref": "nur988/moa-pytorch", "kernel_id": "12338510"}, {"ref": "nur988/moa-pytorch-optuna", "kernel_id": "12300934"}, {"ref": "abhishekprajapat/moa-3-approaches", "kernel_id": "12165385"}, {"ref": "wickkiey/moa-lightgbm-206-models", "kernel_id": "12928075"}, {"ref": "stepanhardin/drugs-classification-mechanisms-of-action", "kernel_id": "12435139"}, {"ref": "anko191/elbow-method-and-x-means", "kernel_id": "12680058"}, {"ref": "frankmollard/gauss-rank-pca-up", "kernel_id": "12867570"}, {"ref": "lililycai/fastai-moa-with-drugstratification", "kernel_id": "12883686"}, {"ref": "nxrprime/clustering-with-pca-nns-and-tsne", "kernel_id": "12182715"}, {"ref": "prabhutvabisht/notebook4aaaa468a5", "kernel_id": "12338985"}, {"ref": "sarthakrastogi/simple-deep-learning-model", "kernel_id": "12745333"}, {"ref": "sarthakrastogi/deep-learning-models-2", "kernel_id": "12930060"}, {"ref": "danurahul/notebook13b8a23261", "kernel_id": "12330343"}, {"ref": "akhilkasare/mechanisms-of-action-eda-prediction-pytorch", "kernel_id": "12081784"}, {"ref": "lz1997/moa-post-processing-f5bd01", "kernel_id": "12949786"}, {"ref": "damoonshahhosseini/aggregated-neural-networks", "kernel_id": "12378537"}, {"ref": "ikobzev/moa-version1", "kernel_id": "12443711"}, {"ref": "ikobzev/moa-script", "kernel_id": "12524856"}, {"ref": "ikobzev/moa-keras-nn-baseline-from-ml-newbie", "kernel_id": "12866502"}, {"ref": "sho123/pytorch-optuna-tuning", "kernel_id": "12152620"}, {"ref": "d3nyal/notebook45281825cb", "kernel_id": "12083649"}, {"ref": "zekun98/blend-blend-blend", "kernel_id": "12853104"}, {"ref": "awwaldiekaramapepple/fork-of-stacked-xgboostclassifier-nn-lgb-10b19", "kernel_id": "12640620"}, {"ref": "awwaldiekaramapepple/moa-xgboostclassifier-feature-engineering", "kernel_id": "12746012"}, {"ref": "vinnieantunes/moa-lstm-pure-transformer-fast-and-not-bad", "kernel_id": "12996977"}, {"ref": "zaevroman/moa-pytorch-improve-cv-0-0186lb-preprocess", "kernel_id": "12443570"}, {"ref": "javagarm/moa-pipeline-smoothing", "kernel_id": "12278636"}, {"ref": "yerramvarun/deciding-clusters-in-kmeans-silhouette-coeff", "kernel_id": "12723161"}, {"ref": "ruslankupr/k-fold-cv-dnn-for-moa", "kernel_id": "12685693"}, {"ref": "einchin/notebook16cfe3587c", "kernel_id": "12833310"}, {"ref": "abtomoyukinohara/002-baseline-lgbm", "kernel_id": "12079110"}, {"ref": "abtomoyukinohara/001-first-check-datas", "kernel_id": "12079120"}, {"ref": "yiqixue/moa-multilabel-lr-model", "kernel_id": "12313603"}, {"ref": "yiqixue/moa-tf-keras-nn", "kernel_id": "12384559"}, {"ref": "piotrwodzynski/strange-result-model-selection-cross-validate", "kernel_id": "12808682"}, {"ref": "hghghghgh1234/pytorch-nn-0-01625-private-score", "kernel_id": "12764400"}, {"ref": "vsevolodcherepanov/moa-multiclassification-model", "kernel_id": "12113634"}, {"ref": "vishalvanpariya/main-notebook", "kernel_id": "12473183"}, {"ref": "shubham76/moa-with-neural-networks", "kernel_id": "12477158"}, {"ref": "sunilkrishnan/notebook97867ec13c", "kernel_id": "12152694"}, {"ref": "aeryss/moa-idk-how-to-fe", "kernel_id": "12895679"}, {"ref": "aeryss/moa-eda", "kernel_id": "12230792"}, {"ref": "aeryss/moa-feature-engineering-neural-net", "kernel_id": "12316889"}, {"ref": "aeryss/moa-pca-feature-engineering-keras-neural-net", "kernel_id": "12366060"}, {"ref": "aeryss/moa-no-feature-engineering-neural-net", "kernel_id": "12643979"}, {"ref": "aeryss/tabnet-hyper-fe", "kernel_id": "12708254"}, {"ref": "aeryss/moa-tabnet-groupcv", "kernel_id": "12657037"}, {"ref": "ilosvigil/torch-moa-mlp", "kernel_id": "12775850"}, {"ref": "akshatsharma47/moa-dropout-dropcol", "kernel_id": "12013569"}, {"ref": "wanping7/xgboost", "kernel_id": "12199934"}, {"ref": "wanping7/pytorch-resnet-cnn", "kernel_id": "12836062"}, {"ref": "kokitanisaka/moa-ensemble", "kernel_id": "12199392"}, {"ref": "hamzaboulahia/moa-competition-eda", "kernel_id": "12591541"}, {"ref": "hamzaboulahia/moa-pca-transfert-learning-kerastuner", "kernel_id": "12996186"}, {"ref": "tahsintasnia/activation-of-medicine", "kernel_id": "12203040"}, {"ref": "tahsintasnia/mechanisms-of-action-moa-prediction", "kernel_id": "12152886"}, {"ref": "tmhrkt/grownet-gradient-boosting-neural-networks", "kernel_id": "12797335"}, {"ref": "caicaicaicaicai/moa-predictions-overfitting-with-tabnet-reduce", "kernel_id": "12937089"}, {"ref": "glm233/xgboost", "kernel_id": "12132782"}, {"ref": "bayartsogtya/chris-s-kfold-different-inputs-ensemble", "kernel_id": "12872554"}, {"ref": "sssssssww/transformer", "kernel_id": "12955800"}, {"ref": "retal95/very-good", "kernel_id": "12647650"}, {"ref": "underwearfitting/make-final-submission-the-efficient-way", "kernel_id": "12887505"}, {"ref": "underwearfitting/partial-self-stacking-lightgbm", "kernel_id": "12885943"}, {"ref": "underwearfitting/how-to-split-folds-given-new-drug-id", "kernel_id": "12700616"}, {"ref": "vkehfdl1/pca-kmeans-nn", "kernel_id": "12936151"}, {"ref": "chaejihan/moa-cjh", "kernel_id": "12934912"}, {"ref": "dzehtsiarou/final-code-for-house-prices", "kernel_id": "12630686"}, {"ref": "sejalkshirsagar/moa-prediction-keras", "kernel_id": "12856316"}, {"ref": "cuikainuaa/20201107fe-fs-dnn-inference-v1", "kernel_id": "12737346"}, {"ref": "atdata/copy-of-moa-with-keras-for-beginner-s", "kernel_id": "12147672"}, {"ref": "japandata509/moa-simple-nn", "kernel_id": "12447012"}, {"ref": "vivekprajapati2048/a-complete-mechanisms-of-action-moa-notebook", "kernel_id": "12628064"}, {"ref": "yohannesmelese/moa-prediction-notebook-2", "kernel_id": "12637385"}, {"ref": "jingzhiwen/notebook7df3fda89d", "kernel_id": "12212047"}, {"ref": "jingzhiwen/notebookafe3fb5cc2", "kernel_id": "12336262"}, {"ref": "martintosstorff/moalibtest", "kernel_id": "12896513"}, {"ref": "martintosstorff/moa-dimensionalityreduction-for-applying-cnn", "kernel_id": "12690036"}, {"ref": "vabhijithrao/rankgauss-vae-tabnet-baseline", "kernel_id": "12302165"}, {"ref": "garrettwankel/moa-train-model", "kernel_id": "12981150"}, {"ref": "garrettwankel/mechanism-of-action-onevsrest-sgd", "kernel_id": "12872514"}, {"ref": "bibhabasumohapatra/drug-classification-final", "kernel_id": "12056747"}, {"ref": "kingofdaydream/moa-eda-distribution", "kernel_id": "12531980"}, {"ref": "hyeonjunkim/noise-reducing-dnn-model", "kernel_id": "12388227"}, {"ref": "pavellukianov/solution1-pzad", "kernel_id": "12441768"}, {"ref": "pavellukianov/eda-pzad", "kernel_id": "12564999"}, {"ref": "yzgast/moa-minimal-kfold-dnn-keras", "kernel_id": "12806511"}, {"ref": "junyan01/moa-predictions-overfitting-with-tabnet-3233e3", "kernel_id": "12784439"}, {"ref": "junyan01/pytorch-transfer-learning-with-k-foldsdrugid-run", "kernel_id": "12964889"}, {"ref": "junyan01/pytorch-transfer-learningwith-kfoldsdrug-inference", "kernel_id": "12978617"}, {"ref": "douglaskgaraujo/keras-directed-acyclic-graph", "kernel_id": "12599893"}, {"ref": "kushal1506/moa-pretrained-non-scored-targets-as-meta-features", "kernel_id": "12891376"}, {"ref": "kushal1506/moa-tabnet-inference", "kernel_id": "12865764"}, {"ref": "kushal1506/moa-tabnet-train-inference", "kernel_id": "12865117"}, {"ref": "kushal1506/deciding-n-components-in-pca", "kernel_id": "12191222"}, {"ref": "kushal1506/moa-pytorch-0-01859-rankgauss-pca-nn", "kernel_id": "12198728"}, {"ref": "kushal1506/moa-pytorch-feature-engineering-0-01846", "kernel_id": "12493212"}, {"ref": "kushal1506/moa-pytorch-optuna-hyperparameter-tuning", "kernel_id": "12398445"}, {"ref": "soumyaranjan96/moa-prediction-interesting-findings", "kernel_id": "12341395"}, {"ref": "cansucandan/mechanism-of-action-moa-eda", "kernel_id": "12445665"}, {"ref": "biubiug/notebookee685d99a6", "kernel_id": "12189837"}, {"ref": "erictaw/drug-id-analysis", "kernel_id": "12674398"}, {"ref": "omniking1999/notebook-v4-0", "kernel_id": "12675005"}, {"ref": "omniking1999/notebook-v3-0", "kernel_id": "12181790"}, {"ref": "semenlobachevskiy/moa-nn", "kernel_id": "12818744"}, {"ref": "ksouriazer/moa-pytorch-0-01861lb-0-01439cv-eda-fe-nn", "kernel_id": "12505081"}, {"ref": "alexandrebernat/megamente-ita-gurizada", "kernel_id": "12082803"}, {"ref": "sasasagagaga1/gb-with-cv", "kernel_id": "12580718"}, {"ref": "sasasagagaga1/nn-top3-ensemble-with-cv-7", "kernel_id": "12630696"}, {"ref": "sasasagagaga1/gb-predictions", "kernel_id": "12559729"}, {"ref": "sasasagagaga1/nn-baseline", "kernel_id": "12446418"}, {"ref": "mengtianli/pca-rf", "kernel_id": "12408037"}, {"ref": "lakitha/moa-data-submission", "kernel_id": "12346411"}, {"ref": "robertlangdonvinci/lish-moa-kfold-fastai-tabnet-ensemble", "kernel_id": "12340796"}, {"ref": "robertlangdonvinci/resnet34-deepinsight-image-for-nonimagedata-fastai", "kernel_id": "12941531"}, {"ref": "sridharjayadavan/moa-tut", "kernel_id": "12952467"}, {"ref": "soyosuke/notebook67cae5c8a0", "kernel_id": "12677717"}, {"ref": "soyosuke/notebook3e65be8da5", "kernel_id": "12256207"}, {"ref": "abiyyuai/w09-13517083-abiyyu-avicena-ismunandar", "kernel_id": "12697427"}, {"ref": "oym8012/feature-importance", "kernel_id": "12467915"}, {"ref": "barcarum/moa-feature-engineering", "kernel_id": "12205545"}, {"ref": "barcarum/moa-pytorch-feature-engineering-0-01846", "kernel_id": "12646796"}, {"ref": "barcarum/pytorch-hpstuning-optuna", "kernel_id": "12690029"}, {"ref": "alancook/basic-nn-with-r", "kernel_id": "12577840"}, {"ref": "namndt/mechanisms-of-action-prediction", "kernel_id": "12945346"}, {"ref": "yashpajavani/fork-of-model3-7472fb", "kernel_id": "12060897"}, {"ref": "yashpajavani/fork-of-fork-of-model3", "kernel_id": "12071593"}, {"ref": "datajameson/moa-prediction-pytorch-lb-0-0183", "kernel_id": "12731008"}, {"ref": "alexamath/multi-label-stratified-k-fold", "kernel_id": "12217315"}, {"ref": "arun016/fork-of-introduction-to-tabnet-kfold-10-patient", "kernel_id": "12765998"}, {"ref": "rajsinghgaur2000/notebook7accf6d0a6", "kernel_id": "12600727"}, {"ref": "shlezinger/moa-multi-label-classification-2", "kernel_id": "12246039"}, {"ref": "compoundv/pytorch-nn-moa-clean", "kernel_id": "12330141"}, {"ref": "gaoang2020/notebook529acfc01d", "kernel_id": "12761080"}, {"ref": "ahmadasadi00/rf-model", "kernel_id": "12884085"}, {"ref": "nikolaypirozhkov/moapie", "kernel_id": "12968273"}, {"ref": "nikolayskryabin/skryabinnv", "kernel_id": "12968282"}, {"ref": "alexandrafedorova98/moa-fedorova", "kernel_id": "12968283"}, {"ref": "jkrthief/explore-the-magic-of-mean-top-2-of-the-publiclb", "kernel_id": "12504417"}, {"ref": "seanmh/notebook1cb2b8cdaf", "kernel_id": "12670449"}, {"ref": "suhailie/moa-drugs", "kernel_id": "12670571"}, {"ref": "art6745/notebooka050851501", "kernel_id": "12680993"}, {"ref": "art6745/notebookea1c1594ba", "kernel_id": "12723396"}, {"ref": "art6745/notebookf0a11d076c", "kernel_id": "12703198"}, {"ref": "art6745/notebookf7f9bc2e32", "kernel_id": "12816903"}, {"ref": "gregfishman239/lish-moa-notebook", "kernel_id": "12999956"}, {"ref": "kevnsan/ensemble", "kernel_id": "12968202"}, {"ref": "simonplatonov/baseline6", "kernel_id": "12926563"}, {"ref": "ogrisel/testing-pca", "kernel_id": "13358535"}, {"ref": "philippsinger/moa-starter-13", "kernel_id": "13051176"}, {"ref": "fernandonieuwveldt/wide-and-deep-keras-implementation", "kernel_id": "13011319"}, {"ref": "danofer/moa-keras-triplet-siamese", "kernel_id": "13054722"}, {"ref": "zahedi/moa2image", "kernel_id": "13065541"}, {"ref": "sg1993/logistic-regression-model", "kernel_id": "13065722"}, {"ref": "sg1993/ensemble-models", "kernel_id": "13071679"}, {"ref": "sg1993/neural-net", "kernel_id": "13095547"}, {"ref": "markpeng/final-best-lb-cleaned", "kernel_id": "13316384"}, {"ref": "tolgadincer/testing-pca", "kernel_id": "13245026"}, {"ref": "tolgadincer/ensemble-weight-optimization", "kernel_id": "13233613"}, {"ref": "tolgadincer/transfer-model-training-v2-t1", "kernel_id": "13152474"}, {"ref": "eemonn/4th-place-solution-with-pp", "kernel_id": "13199645"}, {"ref": "kento1993/nn-svm-tabnet-xgb-with-pca-cnn-stacking-without-pp", "kernel_id": "13221914"}, {"ref": "manojprabhaakr/inference-model-nn-2-models-1-tabnet-and-1-keras", "kernel_id": "13029124"}, {"ref": "tnmasui/moa-mlp-with-layernorm-inference", "kernel_id": "13145606"}, {"ref": "aerdem4/moa-xgb-svm-solution", "kernel_id": "13192833"}, {"ref": "ttahara/34th-stacking-5-models-by-mlp-1d-cnn-wo", "kernel_id": "13219336"}, {"ref": "ttahara/stacking-mlp-drugcv", "kernel_id": "13512231"}, {"ref": "ttahara/stacking-2d-cnn-drugcv", "kernel_id": "13521512"}, {"ref": "ttahara/stacking-1d-cnn-drugcv", "kernel_id": "13518945"}, {"ref": "ttahara/stacking-gcn-drugcv", "kernel_id": "13508659"}, {"ref": "ttahara/private-0-01599-moa-avg-of-various-stacking", "kernel_id": "13550404"}, {"ref": "karthickp6/lgbm-baseline", "kernel_id": "13052507"}, {"ref": "intwzt/inference-tabnet-1830", "kernel_id": "13152847"}, {"ref": "intwzt/updated-inference-final-mx10-transfer", "kernel_id": "13175660"}, {"ref": "deathlyhallows/pytorch-model-training", "kernel_id": "13020998"}, {"ref": "deathlyhallows/moa-pytorch-meta-features", "kernel_id": "13177205"}, {"ref": "rsesha/moa-lish-with-featurewiz-and-multioutputclassifier", "kernel_id": "13080265"}, {"ref": "ashu11081992/my-first", "kernel_id": "13124747"}, {"ref": "masterr/thelayer", "kernel_id": "13159562"}, {"ref": "peterse583/moa-late", "kernel_id": "13441751"}, {"ref": "qiaoshiji/resnet-deep", "kernel_id": "13012142"}, {"ref": "adish333/inference-pytorch-transfer-learning-with-k-fold", "kernel_id": "13144826"}, {"ref": "urvishp80/moa-transfer-learning-simple-nn-new-cv", "kernel_id": "13053619"}, {"ref": "urvishp80/moa-transfer-learning", "kernel_id": "13048383"}, {"ref": "krisho007/moa-tabconvolution-training", "kernel_id": "13039718"}, {"ref": "bowaka/single-tabnet-private-0-01629-lb-0-01835", "kernel_id": "13221370"}, {"ref": "lashamaev/baseline6researche", "kernel_id": "13048385"}, {"ref": "lashamaev/baseline6nn206", "kernel_id": "13165517"}, {"ref": "lashamaev/baseline6nn", "kernel_id": "13104611"}, {"ref": "lashamaev/layersnumber", "kernel_id": "13207784"}, {"ref": "paantya/moa-pytorch-nn-starter", "kernel_id": "13052328"}, {"ref": "maxwienandts/data-analysis", "kernel_id": "13004137"}, {"ref": "shashwatwork/guide-to-statistical-hypothesis-tests-in-python", "kernel_id": "13703414"}, {"ref": "kibuna/dummytestfeatures", "kernel_id": "13153096"}, {"ref": "kibuna/503-203-tabnet-with-nonscored-features-train", "kernel_id": "13049582"}, {"ref": "hirune924/pytorch-tabnet-pretraining-step3-many-fe-train", "kernel_id": "13153255"}, {"ref": "ashwathshetty/beginner-nn-and-pytorch", "kernel_id": "13053087"}, {"ref": "thimes/moa-prediction", "kernel_id": "13016112"}, {"ref": "vladimirsydor/lishmoa-baseline-inference", "kernel_id": "13126199"}, {"ref": "anonamename/moa-xgbclassifier-classifierchain", "kernel_id": "13144247"}, {"ref": "anonamename/fork-of-moa-rapids-svm-seed4", "kernel_id": "13087240"}, {"ref": "anonamename/fork-of-moa-rapids-svm-seed23", "kernel_id": "13083876"}, {"ref": "anonamename/moa-grownet", "kernel_id": "13050155"}, {"ref": "egm108/moa-mixup-pca-fastai-based", "kernel_id": "13236553"}, {"ref": "cdeotte/moa-post-process-lb-1777", "kernel_id": "13260824"}, {"ref": "cdeotte/dae-book1c", "kernel_id": "13160165"}, {"ref": "cdeotte/dae-book2c", "kernel_id": "13160206"}, {"ref": "cdeotte/dae-book3c", "kernel_id": "13163740"}, {"ref": "cdeotte/3rd-place-public-lb-1805", "kernel_id": "13091422"}, {"ref": "toyasdhake/main-py", "kernel_id": "13478910"}, {"ref": "evgkol/moablending", "kernel_id": "13034523"}, {"ref": "shimaw28/blend-blend-blend", "kernel_id": "13178066"}, {"ref": "vinayaknyk/moa-prediction-autoencoders-cv", "kernel_id": "13060674"}, {"ref": "pankajdubey87/ensemble-nn-and-xgboost", "kernel_id": "13156180"}, {"ref": "greylord1996/notebookb542d0d151", "kernel_id": "13214675"}, {"ref": "yzyz2015/moa-rep-3-model-training-and-inference-b2d234", "kernel_id": "13227907"}, {"ref": "rtombs/fork-of-fork-of-xxx-torch-fold-k-drug-id-mastre-2", "kernel_id": "13100443"}, {"ref": "rtombs/fork-of-fork-of-xxx-torch-fold-k-drug-id-master-3", "kernel_id": "13100531"}, {"ref": "akashsuper2000/training-and-inference-for-3-models", "kernel_id": "13046917"}, {"ref": "sayedathar11/optimal-components-for-cell-and-gene-features", "kernel_id": "13050720"}, {"ref": "hasan7/moa-kera-wnorm-adamw-nonscored-targets", "kernel_id": "13101312"}, {"ref": "hasan7/kfold-with-dl-gaussian-vt-translearning-ff", "kernel_id": "13015269"}, {"ref": "nicohrubec/stretch-postprocessing", "kernel_id": "13245079"}, {"ref": "kaerunantoka/moa-blending24", "kernel_id": "13037483"}, {"ref": "chandanpandey/tabnet-pca-stratification-final", "kernel_id": "13211686"}, {"ref": "zvukztyshyny/moa-train", "kernel_id": "13176465"}, {"ref": "alexandervc/moa-nn-04", "kernel_id": "13040440"}, {"ref": "alexandervc/r-do-call-map-with-3-dots", "kernel_id": "13174707"}, {"ref": "wawawasunny/4-models", "kernel_id": "13185129"}, {"ref": "wawawasunny/4-models-train-sub1", "kernel_id": "13195633"}, {"ref": "wawawasunny/4-models-train-sub4", "kernel_id": "13197184"}, {"ref": "wawawasunny/4-models-train-sub1-2", "kernel_id": "13207476"}, {"ref": "wawawasunny/4-models-train-sub4-2", "kernel_id": "13206936"}, {"ref": "yxohrxn/votingclassifier-fit-without-lightgm-and-svm", "kernel_id": "13226533"}, {"ref": "yxohrxn/votingclassifier-predict-without-postprocessing", "kernel_id": "13227846"}, {"ref": "medali1992/pytorch-transfer-learning-with-k-folds-by-drug-ids", "kernel_id": "13153286"}, {"ref": "kazumitsusakurai/submission-for-moa", "kernel_id": "13191403"}, {"ref": "suntzuisafteru/notebook78aaeae6b3", "kernel_id": "13162602"}, {"ref": "radadiyamohit/3-model-training-and-inference", "kernel_id": "13163338"}, {"ref": "valeriagab/notebooke6bdaaee89", "kernel_id": "13074961"}, {"ref": "pengwang91/moa-solution-public-72-private-60", "kernel_id": "13330569"}, {"ref": "swofde/baseline6pseudo", "kernel_id": "13050257"}, {"ref": "swofde/baseline6-deaeef", "kernel_id": "13048073"}, {"ref": "swofde/baseline6researche-3730ef", "kernel_id": "13098168"}, {"ref": "swofde/baseline6-singletask", "kernel_id": "13119811"}, {"ref": "ajinomoto132/efficientnet-swish-augmentation-training", "kernel_id": "13244094"}, {"ref": "fushigen/moa-blending", "kernel_id": "13010289"}, {"ref": "syoifczeri/tf2-nn-starter-split-input-gained-score", "kernel_id": "13044978"}, {"ref": "gogo827jz/groupcv-pytorch-resdtnet", "kernel_id": "13114651"}, {"ref": "gogo827jz/multi-label-pbestpre-inference-grownet-pl", "kernel_id": "13025111"}, {"ref": "gogo827jz/multi-label-pbestpre-tabnet-training-inference", "kernel_id": "13023140"}, {"ref": "saik345/eda-with-keras-and-tensorflow-in-r", "kernel_id": "13169838"}, {"ref": "solitariuslykos/moa-solution", "kernel_id": "13090229"}, {"ref": "aryankhatana/pytorch-transfer-learning-with-k-folds-by-drug-ids", "kernel_id": "13007885"}, {"ref": "tuistan/inference-blending-pretrained-4-models-80b63a", "kernel_id": "13230383"}, {"ref": "tuistan/inference-blending-pretrained-tabnet-and-memory", "kernel_id": "13159344"}, {"ref": "tuistan/inference-blending-pretrained-bb6709", "kernel_id": "13069732"}, {"ref": "chariotsoffire78/original-moa-notebook", "kernel_id": "13269771"}, {"ref": "hakkoz/ml-project-lish-moa-eda", "kernel_id": "13490398"}, {"ref": "ihaifaa/pca-dnn-moa", "kernel_id": "13194320"}, {"ref": "srmorales08/moa-predictive-final-project", "kernel_id": "13234686"}, {"ref": "riadalmadani/last-one", "kernel_id": "13009296"}, {"ref": "dmitryvyudin/pytorch-transfer-learning-with-post-processing", "kernel_id": "13238781"}, {"ref": "dmitryvyudin/moa-drug-classification-fastai", "kernel_id": "13192288"}, {"ref": "shreeya3k/ml-project", "kernel_id": "13544818"}, {"ref": "neviya19/notebook1-logreg", "kernel_id": "13541086"}, {"ref": "tarunbisht11/moa-competition-baseline-tensorflow", "kernel_id": "13103272"}, {"ref": "whoischelc/moa-nn-submissions", "kernel_id": "13327530"}, {"ref": "skinyx/blend", "kernel_id": "13228153"}, {"ref": "tasnimayeasmin/moa-pca-variance-quantile", "kernel_id": "13216564"}, {"ref": "tasnimayeasmin/moa-inference-blending-6ff85f", "kernel_id": "13211868"}, {"ref": "tasnimayeasmin/v-8-lb-0-01834-final", "kernel_id": "13122175"}, {"ref": "tasnimayeasmin/v-1-lb-0-01837-final", "kernel_id": "13127985"}, {"ref": "abdelrahmanamer/knn-with-rapids-cuml-example-713fbc", "kernel_id": "13421057"}, {"ref": "alexmorerog/k-folds", "kernel_id": "13569510"}, {"ref": "huanghuangzhang/moa-pretrained-non-scored-targets-as-meta-features", "kernel_id": "13169514"}, {"ref": "huanghuangzhang/moa-tabnet-correct", "kernel_id": "13099846"}, {"ref": "huanghuangzhang/pytorch-transfer-learning-with-k-folds-by-drug-ids", "kernel_id": "13131326"}, {"ref": "narasimhajwalapuram/moa-kaggle-1", "kernel_id": "13051415"}, {"ref": "nakagawahironori/moa-tabnet-ver7-pca-6", "kernel_id": "13008673"}, {"ref": "mahmoudatef94/method-of-action-prediction-moa", "kernel_id": "13223327"}, {"ref": "mahmoudatef94/moa-predicition", "kernel_id": "13781800"}, {"ref": "giorgosfoukarakis/moa-label-powerset-rakeld", "kernel_id": "13042987"}, {"ref": "giorgosfoukarakis/moa-eda-fastica-dnn-label-smoothing", "kernel_id": "13012112"}, {"ref": "chihantsai/col-2-eensemble-12-model-cpu", "kernel_id": "13219902"}, {"ref": "wickkiey/moa-pca-nn-tf", "kernel_id": "13108078"}, {"ref": "hamzaadnan/xgb-baseline-moa", "kernel_id": "13112281"}, {"ref": "charlenebrn/notebookgoogle-colab", "kernel_id": "13199909"}, {"ref": "sunghyunjun/moa-torch-inference-ensemble-weighted-old-cv", "kernel_id": "13215958"}, {"ref": "sunghyunjun/moa-torch-inference-ensemble-optuna", "kernel_id": "13178233"}, {"ref": "nischaydnk/moa-1st-place-solution-team-hungry-for-gold", "kernel_id": "13216093"}, {"ref": "nischaydnk/nn-model-with-non-score-new-cv-train", "kernel_id": "13060388"}, {"ref": "nischaydnk/fork-of-moa-pytorch-feature-engineering-7dd1e3", "kernel_id": "13046295"}, {"ref": "nischaydnk/simple-nn-using-old-cv", "kernel_id": "13132232"}, {"ref": "jz19940000/final-project", "kernel_id": "13367036"}, {"ref": "bethbaumann/notebook24308f6834", "kernel_id": "13159675"}, {"ref": "samsendelbach/predictive-final-proj", "kernel_id": "13331276"}, {"ref": "vishalvanpariya/moa-nn-pytorch-inference", "kernel_id": "13070347"}, {"ref": "shubham76/moa-with-neural-network", "kernel_id": "13171234"}, {"ref": "aeryss/moa-pretrained-non-scored-targets-as-meta-features", "kernel_id": "13196412"}, {"ref": "aeryss/tabnet-original-hyperparam-tuning-only", "kernel_id": "13050462"}, {"ref": "aeryss/moa-predictions-overfitting-with-tabnet-cbb40d", "kernel_id": "13009101"}, {"ref": "aeryss/fork-of-moa-pca-feature-engineering-keras-neural", "kernel_id": "13034828"}, {"ref": "sepidehfo1/moa-final-codes", "kernel_id": "13092027"}, {"ref": "caicaicaicaicai/selfsupervisedtabnet", "kernel_id": "13144439"}, {"ref": "caicaicaicaicai/fork-of-moa-predictions-overfitting-with-tabne", "kernel_id": "13154213"}, {"ref": "paulgiesting/three-layer-keras-model-final-additions", "kernel_id": "13041294"}, {"ref": "underwearfitting/final-sub-1", "kernel_id": "13206890"}, {"ref": "sangonana/moa-light-gbm", "kernel_id": "13194125"}, {"ref": "stanleyjzheng/deepinsight-b3-training-gpu", "kernel_id": "13007896"}, {"ref": "toyox2020/simple-xgboost-model", "kernel_id": "13008217"}, {"ref": "javiercarnero/moa-prediction-fastai", "kernel_id": "13174581"}, {"ref": "imoore/moa-complex-spaghetti-model-for-top-kagglers", "kernel_id": "13040445"}, {"ref": "martintosstorff/fork-of-moalibtest-a89cfc", "kernel_id": "13044076"}, {"ref": "yzgast/moa-pca-dnn-callbacks-keras", "kernel_id": "13013611"}, {"ref": "stephanieyang17/tabnet-original", "kernel_id": "13096991"}, {"ref": "victorchow/pytorch-transfer", "kernel_id": "13111912"}, {"ref": "victorchow/transferinference", "kernel_id": "13119100"}, {"ref": "victorchow/inferencetransfer", "kernel_id": "13127511"}, {"ref": "junyan01/inference-blending-pretrained-4-models", "kernel_id": "13176926"}, {"ref": "junyan01/tabnet-oof-j-inference", "kernel_id": "13044042"}, {"ref": "junyan01/inference-blending-pretrained-j", "kernel_id": "13070001"}, {"ref": "douglaskgaraujo/xgboost", "kernel_id": "13083671"}, {"ref": "maithiltandel/moa-submission", "kernel_id": "13552946"}, {"ref": "kushal1506/pytorch-transfer-learning-last", "kernel_id": "13009542"}, {"ref": "kushal1506/moa-prediction-complete-walkthrough-eda-ensemble", "kernel_id": "13143226"}, {"ref": "yuanyuanzhang0104/moa-inference-2", "kernel_id": "13183935"}, {"ref": "riccardosanson/moa-simple-autoencoder-nn-r-keras", "kernel_id": "13193964"}, {"ref": "franksheng/notebookbyfranksheng2", "kernel_id": "13206099"}, {"ref": "franksheng/notebookbyfranksheng", "kernel_id": "13089322"}, {"ref": "yongchengmu/moa-project-new", "kernel_id": "13133647"}, {"ref": "hamishs/moa-elasticnet", "kernel_id": "13041728"}, {"ref": "alexamath/more-data-is-all-you-need", "kernel_id": "13102087"}, {"ref": "juanestebanespinosa/mechanisms-of-action-moa-prediction", "kernel_id": "13115593"}, {"ref": "fatmahkabeer/notebook3ff994ebb6", "kernel_id": "13134426"}, {"ref": "fatmahkabeer/notebookd92196ae88", "kernel_id": "13198388"}, {"ref": "fatmahkabeer/notebook58ff544b44", "kernel_id": "13214747"}, {"ref": "ahmedalrashid/notebook676793a9b7", "kernel_id": "13217013"}, {"ref": "amjadaltuwayjiri/misk-t2-2", "kernel_id": "13190698"}, {"ref": "graniamachado/notebook4870be032a", "kernel_id": "13092099"}, {"ref": "nikolaypirozhkov/baseline6researche", "kernel_id": "13097060"}, {"ref": "shishirccr/notebookc0f3938ed5", "kernel_id": "13494846"}, {"ref": "raquelzazi/notebookcd713494cf", "kernel_id": "13273117"}, {"ref": "cdgraham/sub-1", "kernel_id": "13488380"}, {"ref": "alekseyegorov96/baseline6", "kernel_id": "13048168"}, {"ref": "natalya16/baseline6pseudo", "kernel_id": "13048769"}, {"ref": "petrovegor/baseline6-1", "kernel_id": "13034369"}, {"ref": "maximivanov1/baseline6", "kernel_id": "13048072"}, {"ref": "simonplatonov/baseline6pseudo", "kernel_id": "13050688"}, {"ref": "fedniko/baseline6", "kernel_id": "13048190"}, {"ref": "fedniko/baseline6nn206", "kernel_id": "13211262"}, {"ref": "maxzlatov/baseline6", "kernel_id": "13048164"}, {"ref": "muntheralnghemshi/notebook58ff544b44-47a978", "kernel_id": "13217235"}, {"ref": "govindajith/draft-1", "kernel_id": "13485833"}, {"ref": "jared8920/blending-4-models-new", "kernel_id": "13155291"}, {"ref": "jared8920/inference-blending-pretrained-4-models-25cf1d", "kernel_id": "13225507"}, {"ref": "jared8920/fork-of-inference-blending-pretrained-4-mod-7f648f", "kernel_id": "13226189"}, {"ref": "jared8920/fork-of-fork-of-inference-blending-pretrain-lbweig", "kernel_id": "13226636"}, {"ref": "jared8920/fork-of-inference-blending-pretrain-weight", "kernel_id": "13229451"}, {"ref": "edchencc/pytorch-transfer-learningwith-kfoldsdruginference2", "kernel_id": "13165216"}, {"ref": "edchencc/moa-lgb-my-version", "kernel_id": "13178403"}, {"ref": "edchencc/moa-predictions-tabnet-more-fe", "kernel_id": "13133702"}, {"ref": "ergisstepanov/baseline6", "kernel_id": "13048201"}, {"ref": "simonakolarova/moa-predictions", "kernel_id": "13885376"}, {"ref": "srigutta/codefile", "kernel_id": "13487392"}, {"ref": "yasminfarhan/moa-submission", "kernel_id": "13251111"}, {"ref": "akshaykurhade/808aprj", "kernel_id": "13480188"}, {"ref": "sailoromkar/tabnet-moa", "kernel_id": "14748478"}, {"ref": "yxohrxn/moa-mixup", "kernel_id": "14301030"}, {"ref": "yxohrxn/moa-cutmix", "kernel_id": "14303489"}, {"ref": "yxohrxn/moa-baseline", "kernel_id": "14295292"}, {"ref": "hakkoz/ml-project-lish-moa-xgboost", "kernel_id": "14283420"}, {"ref": "hakkoz/ml-project-lish-moa-nn", "kernel_id": "14290447"}, {"ref": "lililycai/1dcnn-pytorch-moa", "kernel_id": "14378587"}, {"ref": "lililycai/1d-cnn", "kernel_id": "14287895"}, {"ref": "tokakhaled/linearregression", "kernel_id": "14038393"}, {"ref": "sehamahmed/moa-first", "kernel_id": "14040418"}, {"ref": "raghdaalaa/moa-first", "kernel_id": "14075499"}, {"ref": "alaamohmedelbarbary/moa-eda", "kernel_id": "14255416"}, {"ref": "alaamohmedelbarbary/moa-logisticregression", "kernel_id": "14019036"}, {"ref": "monagedamy/notebook2c2a07f7a6", "kernel_id": "14042371"}, {"ref": "monagedamy/notebook360c6887c5", "kernel_id": "14648511"}, {"ref": "garywei944/pca-lr-ridge-rf-nn-tuning-hyper-parameters", "kernel_id": "14253268"}, {"ref": "imanekouchaoui/mechanisms-of-action-moa-prediction", "kernel_id": "14700492"}, {"ref": "mariamtiotioberth/drugprediction2", "kernel_id": "14673406"}, {"ref": "mariamtiotioberth/drugprediction3", "kernel_id": "14718385"}, {"ref": "mariamtiotioberth/drugprediction1", "kernel_id": "14391418"}, {"ref": "hebahindi/notebooka67cdb1bae", "kernel_id": "14041707"}, {"ref": "tasneemabdulrahim/pytorch-tasneem", "kernel_id": "14524636"}, {"ref": "alexandervc/genes-info-for-moa-kaggle-with-mygene", "kernel_id": "15592220"}, {"ref": "niksaurabh/mechnism-of-action", "kernel_id": "15630537"}, {"ref": "viktorurushkin/scaler-pca-cv-logistic-regression", "kernel_id": "15171510"}, {"ref": "satyanarayanam/notebookedd617837f", "kernel_id": "15803018"}, {"ref": "alexandremahdhaoui/autocoordinet", "kernel_id": "15327750"}, {"ref": "dennyli/nn-with-k-folds", "kernel_id": "15347064"}, {"ref": "alexandervc/information-on-top-correlated-genes", "kernel_id": "16019942"}, {"ref": "ihounie/deepinsight-random-mapping", "kernel_id": "16659317"}, {"ref": "ihounie/deepinsight-random-mappings-regularised", "kernel_id": "16678097"}, {"ref": "viktorurushkin/simple-nn", "kernel_id": "16111146"}, {"ref": "satyanarayanam/upsampling-multilabel-data-with-mlsmote", "kernel_id": "16725705"}, {"ref": "sanchitvj/2nd-place-1d-cnn", "kernel_id": "16068028"}, {"ref": "andreacastrillon/notebookc2b2228c70", "kernel_id": "16952757"}, {"ref": "amiraalsayed/neural-network", "kernel_id": "16754348"}, {"ref": "kiesik98/notebook9e8d6faa10", "kernel_id": "16507733"}, {"ref": "fawziyazeyada/logistic-regression", "kernel_id": "16920066"}, {"ref": "amiraalsayed/neural-network-and-ensemble", "kernel_id": "17148784"}, {"ref": "lucasar/moa-analysis-and-prediction-in-portuguese", "kernel_id": "17188988"}, {"ref": "vikazrajpurohit/moa-prediction-complete-walkthrough-eda-e-fcc9da", "kernel_id": "18031065"}, {"ref": "hakinamz/moa-prediction", "kernel_id": "18295900"}, {"ref": "coconutforce/moa-first-submission", "kernel_id": "19170744"}, {"ref": "arunkr1/moa-simple-model", "kernel_id": "19578453"}, {"ref": "astsiourvas/team-3-augmented-data", "kernel_id": "19242635"}, {"ref": "astsiourvas/team-3-initial-model", "kernel_id": "19241310"}, {"ref": "evanyao27/team-9-submission", "kernel_id": "19186845"}, {"ref": "gguinet/team-4-submission", "kernel_id": "19215370"}, {"ref": "thodoriskoukouvinos/submission-class", "kernel_id": "19248393"}, {"ref": "kayhanbehdin/team-7", "kernel_id": "19245940"}, {"ref": "alexschmid3/moa-baseline", "kernel_id": "19238550"}, {"ref": "esiombla/final-model", "kernel_id": "19276687"}, {"ref": "leobix/ensemble-nn-team6", "kernel_id": "19244798"}, {"ref": "ralucacobzaru/team-5-moa-model", "kernel_id": "19262999"}, {"ref": "jiayukamessizhao/pca-lr", "kernel_id": "19244896"}, {"ref": "kimberlyvillalobos/notebook866d3443de", "kernel_id": "19227669"}, {"ref": "shivamkc3/moa-optimizing-nn-using-optuna", "kernel_id": "20388906"}, {"ref": "roywollman/eda-scanpy-bioinformatics-standard-analysis", "kernel_id": "20673488"}, {"ref": "camilleingram/bayesian-efficientnet-to-moa-2", "kernel_id": "20025845"}, {"ref": "lazychoco/xgboost-baseline-multilabel-classification", "kernel_id": "22294918"}, {"ref": "loveofpotato/mlp-tensorflow", "kernel_id": "22572984"}, {"ref": "loveofpotato/cv-mlp", "kernel_id": "22766308"}, {"ref": "vabhijithrao/rankgauss-vae-tabnet-baseline-reji-chitti", "kernel_id": "26543277"}, {"ref": "chenxiyintom/scaler-pca-cv-logistic-regression", "kernel_id": "26522535"}, {"ref": "chenxiyintom/pca-lr", "kernel_id": "26472021"}, {"ref": "stephyjeanalphonse/notebook8c4a09c17a", "kernel_id": "26046059"}, {"ref": "hugoya/moa-prediction", "kernel_id": "27196818"}, {"ref": "stephanievelezrph/tackling-mechanism-of-action-project-newbie", "kernel_id": "29031228"}, {"ref": "kesavanr19mim10086/explorations-of-action-moa-eda", "kernel_id": "30281606"}, {"ref": "mokshitsurana/mechanism-of-action", "kernel_id": "33083195"}, {"ref": "iskcdn/moa-v3", "kernel_id": "34724490"}, {"ref": "mokshitsurana/multilabel-classification", "kernel_id": "34457444"}, {"ref": "yulanchuang/nthu-ml-group32", "kernel_id": "38762999"}, {"ref": "sungyulin/1d-cnn", "kernel_id": "38695776"}, {"ref": "sungyulin/dnn-single-model", "kernel_id": "38696865"}, {"ref": "tintin327/1d-cnn-train", "kernel_id": "38682387"}, {"ref": "tintin327/1d-cnn-rg", "kernel_id": "38968376"}, {"ref": "tintin327/1d-cnn-rankgauss", "kernel_id": "39226989"}, {"ref": "tintin327/1d-cnn-augmentation", "kernel_id": "39451125"}, {"ref": "vabhijithrao/notebook2a565c8bb9", "kernel_id": "40123100"}, {"ref": "epicrako/moa-tabnet-1830", "kernel_id": "46859198"}, {"ref": "epicrako/moa-resnet", "kernel_id": "46861102"}, {"ref": "epicrako/moa-ensemble", "kernel_id": "46873117"}, {"ref": "epicrako/moa-linear", "kernel_id": "46876880"}, {"ref": "biswasangela/moa-prediction", "kernel_id": "46924557"}, {"ref": "vinitkp/xgboost-baseline-multilabel-classification", "kernel_id": "47332703"}, {"ref": "salesk/correct-path", "kernel_id": "48187577"}, {"ref": "iamownt/final-best-lb-cleaned", "kernel_id": "49128712"}, {"ref": "triblex/xgboost-baseline-multilabel-classification", "kernel_id": "50955532"}, {"ref": "abdelmoneimrehab/notebookbb046e0bda", "kernel_id": "51530033"}, {"ref": "lakaguku/deepinsight-with-my-data", "kernel_id": "52998850"}, {"ref": "prasannajeetojha/drug-prediction", "kernel_id": "52005367"}, {"ref": "abdelmoneimrehab/autoencoder-xgboost-model", "kernel_id": "55037704"}, {"ref": "abdelmoneimrehab/autoencoder-neural-network", "kernel_id": "55633751"}, {"ref": "letuanvu44/data-mining-moa", "kernel_id": "56074168"}, {"ref": "dung3te/moa-resnet", "kernel_id": "57820232"}, {"ref": "triblex/try-blending", "kernel_id": "60978716"}, {"ref": "vabhijithrao/fork-of-rankgauss-vae-tabnet-baseline-a4347d", "kernel_id": "61410857"}, {"ref": "annettejohnson/rankgauss-vae-tabnet-baseline-without-ternary", "kernel_id": "61526742"}, {"ref": "annettejohnson/fork-of-rankgauss-vae-tabnet-baseline-a4347d", "kernel_id": "61493108"}, {"ref": "omarkhald/deciding-n-components-in-pca", "kernel_id": "63107570"}, {"ref": "annettejohnson/custom-model-main", "kernel_id": "63565076"}, {"ref": "vabhijithrao/custom-model-kl-divergence", "kernel_id": "64289035"}, {"ref": "vabhijithrao/custom-model-support", "kernel_id": "64256572"}, {"ref": "annettejohnson/custom-model-on-test", "kernel_id": "64438278"}, {"ref": "hannimalik/correct-path-moa", "kernel_id": "70663098"}, {"ref": "ksmooi/mechanisms-of-action-prediction-autoencoder", "kernel_id": "71463154"}, {"ref": "hannimalik/moa-updated", "kernel_id": "71902820"}, {"ref": "benjaminafflerbach/skunkworks-allhands-f24", "kernel_id": "72343767"}, {"ref": "triantonugroho39/assignment-5-dl-for-drug-discovery", "kernel_id": "73123599"}, {"ref": "entropy123/final-submission", "kernel_id": "80090928"}, {"ref": "cherry56131/blend", "kernel_id": "81976870"}, {"ref": "cherry56131/multi-modal-multigate-optuna", "kernel_id": "81757762"}, {"ref": "faidavid/moa-tabnet-train-inference", "kernel_id": "82677999"}, {"ref": "richkung/moa-ensemble", "kernel_id": "82609451"}, {"ref": "richkung/kaggle-xgboost-moa", "kernel_id": "82608918"}, {"ref": "jjjjjpg/inference", "kernel_id": "82717334"}, {"ref": "lixuanpeng/inference", "kernel_id": "83459855"}, {"ref": "faidavid/3-11-hning-inference", "kernel_id": "83432798"}, {"ref": "faidavid/3-11-hning-train", "kernel_id": "83437941"}, {"ref": "faidavid/my-moa-hning-inference", "kernel_id": "83318057"}, {"ref": "faidavid/inference-all-kon-7664fc", "kernel_id": "83475675"}, {"ref": "stardriver3600/group12-moa", "kernel_id": "83473023"}, {"ref": "hiwei6/moa-overfitting-with-tabnet-py311", "kernel_id": "83347738"}, {"ref": "hiwei6/00000", "kernel_id": "83308747"}, {"ref": "hiwei6/inference-overfitting-with-tabnet", "kernel_id": "83301777"}, {"ref": "hiwei6/moa-predictions-overfitting-with-tabnet", "kernel_id": "83292567"}, {"ref": "hsiangkaichuang/group12-moa", "kernel_id": "83464358"}, {"ref": "lintzuchi1116/mixed", "kernel_id": "83446046"}, {"ref": "richkung/mynn-multi", "kernel_id": "83055734"}, {"ref": "richkung/no-kung-stacknet", "kernel_id": "83477660"}, {"ref": "richkung/test-if-no-kung-is-ok-to-formal", "kernel_id": "83476240"}, {"ref": "richkung/fork-of-inference-all-kon-no-val", "kernel_id": "83506001"}, {"ref": "richkung/9model-inference-all-kon-no-val-264c08", "kernel_id": "83512186"}, {"ref": "richkung/fullandfull-9model", "kernel_id": "83530798"}, {"ref": "richkung/inference", "kernel_id": "83472864"}, {"ref": "richkung/moa-the-great-merge", "kernel_id": "83374947"}, {"ref": "yusinsiao/final-best-lb-cleaned-43be17", "kernel_id": "83219316"}, {"ref": "yusinsiao/mixed", "kernel_id": "83440001"}, {"ref": "p46134395/2025-ml-nthu", "kernel_id": "83441710"}, {"ref": "jjjjjpg/inference-all-kon", "kernel_id": "83457716"}, {"ref": "jjjjjpg/all-inference-fffff", "kernel_id": "83469095"}, {"ref": "jjjjjpg/based-john-inference", "kernel_id": "83389099"}, {"ref": "jjjjjpg/two-man-rolling-score", "kernel_id": "83515586"}, {"ref": "jjjjjpg/no-kung-stacknet-all-seed", "kernel_id": "83484795"}, {"ref": "jjjjjpg/test-if-no-kung-is-ok-to-score", "kernel_id": "83475790"}, {"ref": "greeny0324/mixed", "kernel_id": "83440232"}, {"ref": "ywliu6/1d-cnn-train", "kernel_id": "83388865"}, {"ref": "ywliu6/dnn-train", "kernel_id": "83388909"}, {"ref": "ywliu6/tabnet-train", "kernel_id": "83388672"}, {"ref": "ywliu6/inference", "kernel_id": "83388376"}, {"ref": "alexandrubucur/mechanisms-of-action", "kernel_id": "88975097"}, {"ref": "lamtuanthinh/deepinsight3d", "kernel_id": "90199948"}, {"ref": "cunjuan/drugs-moa-classification-eda", "kernel_id": "96189263"}, {"ref": "deaait2008/automating-eda-and-feature-importance-detection", "kernel_id": "110488583"}, {"ref": "ryanyuc/ml-project", "kernel_id": "115211885"}, {"ref": "yehshaoyu11/notebookdccbda36d7", "kernel_id": "115400238"}, {"ref": "c0ncentrati0n/pytorch-mlp-test", "kernel_id": "116080741"}, {"ref": "estherchen612/dual-track-nn", "kernel_id": "119598141"}, {"ref": "pennyychen/1d-cnn", "kernel_id": "119386696"}, {"ref": "tim4809/timmoa", "kernel_id": "120844456"}, {"ref": "pennyychen/smooth2", "kernel_id": "120868637"}, {"ref": "annieshih/moa-dae", "kernel_id": "121274345"}, {"ref": "annieshih/moa-calibration", "kernel_id": "121022038"}, {"ref": "talos1105/moa-di-cnn-infer", "kernel_id": "121295620"}, {"ref": "feiiiiichen/smooth2", "kernel_id": "121023265"}, {"ref": "mike12321/moa-5", "kernel_id": "121583589"}, {"ref": "nthu114061537/ml-moa-team-16-inference", "kernel_id": "121688731"}, {"ref": "quillenho/notebook1eda9ee1be", "kernel_id": "121303900"}, {"ref": "quillenho/notebooke-final-moa", "kernel_id": "121304543"}, {"ref": "yassirdev1/ai-driven-drug-discovery-multi-label-moa-predicti", "kernel_id": "121416304"}, {"ref": "yassirdev1/mechanisms-of-action-moa-prediction", "kernel_id": "121830747"}, {"ref": "srabonpaul/submission-cvs", "kernel_id": "136127082"}]}
{"competition_id": "19989", "kernels": [{"ref": "jpmiller/open-images-eda", "kernel_id": "905229"}, {"ref": "dolfamingo/wheat-detection", "kernel_id": "7303195"}, {"ref": "abhishek/w-t-f-ml-wheat-inference", "kernel_id": "9421951"}, {"ref": "ndahiya/kernel677ca63b4b", "kernel_id": "9351370"}, {"ref": "asymptote/1-basic-eda", "kernel_id": "9360747"}, {"ref": "sramirez/training-efficientdet-extra-augmentations", "kernel_id": "9671941"}, {"ref": "jalfaizy/simple-way-to-visualize-images-and-metadata", "kernel_id": "9802009"}, {"ref": "bendvd/global-wheat-detection-first-submission", "kernel_id": "9285304"}, {"ref": "viiids/clean-basic-utils-for-image-box-drawing", "kernel_id": "9449603"}, {"ref": "praveengovi/wheat-detection-eda-let-s-understand-data", "kernel_id": "9316321"}, {"ref": "jackchungchiehyu/wheatabox-efficientdet-train", "kernel_id": "9603088"}, {"ref": "mayukh18/keras-yolov2-inference", "kernel_id": "9788297"}, {"ref": "sumitjha19/fasterrcnn-with-dataaug-yolov3-and-kfolds-wip", "kernel_id": "9716866"}, {"ref": "sumitjha19/yolov3-inference-v2-full-code", "kernel_id": "9374034"}, {"ref": "parapapapam/gwd-eda-sources-comparison-and-imbalance", "kernel_id": "9536473"}, {"ref": "blackmamba/pytorch-starter-fasterrcnn-inference", "kernel_id": "9309079"}, {"ref": "tiandaye/cascade-rcnn-with-mmdetection", "kernel_id": "9700522"}, {"ref": "azazdeaz/globalwheatdetection-annotation-in-labelme-format", "kernel_id": "9591874"}, {"ref": "azazdeaz/global-wheat-to-tfrecords-numeric-source-id", "kernel_id": "9611816"}, {"ref": "artgor/object-detection-with-pytorch-lightning", "kernel_id": "9318474"}, {"ref": "artgor/object-detection-with-pytorch-lightning-inference", "kernel_id": "9324431"}, {"ref": "tyagit3/gwd-yolo-v3-tf2-with-tfrecords", "kernel_id": "9372215"}, {"ref": "quazar/fasterrcnn-mantisshrimp-starter", "kernel_id": "9462405"}, {"ref": "quazar/mantisshrimp-fasterrcnn-starter-2", "kernel_id": "9977627"}, {"ref": "kartikaggarwal98/transforms", "kernel_id": "9358022"}, {"ref": "kishor1210/eda-and-data-annotation-for-faster-rcnn", "kernel_id": "9347377"}, {"ref": "kishor1210/train-faster-rcnn-using-keras", "kernel_id": "9378903"}, {"ref": "ptaneja/detectron2-notebook", "kernel_id": "9384292"}, {"ref": "matthewmasters/my-model-inference-tta-pl", "kernel_id": "9773887"}, {"ref": "pestipeti/jigsaw-puzzle-solved", "kernel_id": "9400102"}, {"ref": "pestipeti/competition-metric-details-script", "kernel_id": "9307074"}, {"ref": "pestipeti/global-wheat-detection-eda", "kernel_id": "9288564"}, {"ref": "pestipeti/pytorch-starter-fasterrcnn-inference", "kernel_id": "9299343"}, {"ref": "pestipeti/pytorch-starter-fasterrcnn-train", "kernel_id": "9290523"}, {"ref": "sumathi16/global-wheat-detection-eda", "kernel_id": "9316800"}, {"ref": "vhmtung/global-wheat-detection-test", "kernel_id": "9684084"}, {"ref": "d4v1d3/retinanet101", "kernel_id": "9872345"}, {"ref": "ufownl/global-wheat-detection-pseudo-labaling", "kernel_id": "9510350"}, {"ref": "ufownl/global-wheat-detection-inference", "kernel_id": "9351797"}, {"ref": "aralai/another-jigsaw-puzzle-solver", "kernel_id": "9544278"}, {"ref": "vbookshelf/automated-wheat-counter-pytorch-flask-app", "kernel_id": "9777231"}, {"ref": "orkatz2/inference-detectron2-resnest", "kernel_id": "9819822"}, {"ref": "grapestone5321/global-wheat-detection-sample-submission", "kernel_id": "9294494"}, {"ref": "abhinav97dutt/pytorch-starter-fasterrcnn-train", "kernel_id": "9754181"}, {"ref": "abhinav97dutt/faster-rcnn-training-with-augmentations", "kernel_id": "9893599"}, {"ref": "maherdeebcv/test-pytorch-faster-r-cnn-with-resnet152-backbone", "kernel_id": "9694654"}, {"ref": "maherdeebcv/pytorch-faster-r-cnn-with-resnet152-backbone", "kernel_id": "9685747"}, {"ref": "shebinscaria/gwd-interactiveaugmentations", "kernel_id": "9691083"}, {"ref": "shebinscaria/pytorch-resnet50fpn-gwd", "kernel_id": "9507739"}, {"ref": "imdevskp/wheat-bound-box-detection", "kernel_id": "9629770"}, {"ref": "ajaysamp/wheat-detection-eda-augmentation-fasterrcnn", "kernel_id": "9600860"}, {"ref": "ateplyuk/gwd-starter-efficientdet-inference", "kernel_id": "9343046"}, {"ref": "ateplyuk/gwd-starter-efficientdet-keras-train", "kernel_id": "9331289"}, {"ref": "yiyunchen/fork-of-kernel1a58643656", "kernel_id": "9651775"}, {"ref": "jacobabello/global-wheat-detection", "kernel_id": "9896006"}, {"ref": "bibek777/simple-eda101", "kernel_id": "9288630"}, {"ref": "aleksandradeis/globalwheatdetection-eda", "kernel_id": "9315028"}, {"ref": "superkevingit/faster-rcnn-with-mmdetection-without-internet", "kernel_id": "9455891"}, {"ref": "superkevingit/calibrate-the-bounding-box-annotations", "kernel_id": "9357634"}, {"ref": "devyacheslav/pytorch-starter-fasterrcnn-inference", "kernel_id": "9511415"}, {"ref": "devyacheslav/inference-efficientdet", "kernel_id": "9866418"}, {"ref": "deejindal/eda-starters-for-kaggle-beginners", "kernel_id": "9308636"}, {"ref": "wilsonchoo/inference-efficientdet", "kernel_id": "9777712"}, {"ref": "kuldeepdhadhwal/global-wheat-detection-eda", "kernel_id": "9289808"}, {"ref": "pabloberhauser/wheat-eda-visualize-by-source", "kernel_id": "9309297"}, {"ref": "pabloberhauser/creating-label-files-for-use-in-yolov4", "kernel_id": "9325810"}, {"ref": "pabloberhauser/yolov4-darknet-inference", "kernel_id": "9345710"}, {"ref": "anamikasingh874/globalwheatdetection", "kernel_id": "9470081"}, {"ref": "liuxu1989swust/kernel55df69464c", "kernel_id": "9923194"}, {"ref": "devvindan/wheat-detection-eda", "kernel_id": "9288384"}, {"ref": "kaushal2896/gwd-efficientdet-training-on-entire-dataset", "kernel_id": "9878959"}, {"ref": "kaushal2896/gwd-dataset-splitter", "kernel_id": "9818621"}, {"ref": "kaushal2896/global-wheat-detection-starter-eda", "kernel_id": "9304864"}, {"ref": "kaushal2896/data-augmentation-tutorial-basic-cutout-mixup", "kernel_id": "9429800"}, {"ref": "shonenkov/wbf-approach-for-ensemble", "kernel_id": "9462460"}, {"ref": "shonenkov/training-efficientdet", "kernel_id": "9568176"}, {"ref": "shonenkov/inference-efficientdet", "kernel_id": "9570975"}, {"ref": "shonenkov/oof-evaluation-mixup-efficientdet", "kernel_id": "9615011"}, {"ref": "shonenkov/bayesian-optimization-wbf-efficientdet", "kernel_id": "9738834"}, {"ref": "shonenkov/wbf-over-tta-single-model-efficientdet", "kernel_id": "9937338"}, {"ref": "sadilkhan786/global-wheat-detection-pytorch", "kernel_id": "9611732"}, {"ref": "karanjakhar/simple-detectron2-prediction", "kernel_id": "9530704"}, {"ref": "karanjakhar/simple-detectron2-training", "kernel_id": "9506438"}, {"ref": "bharatb964/pytorch-implementation-of-faster-r-cnn", "kernel_id": "9295625"}, {"ref": "sakumatcho/bbox-size-statics", "kernel_id": "9756801"}, {"ref": "sakumatcho/visualize-images-and-bboxes", "kernel_id": "9732302"}, {"ref": "ipythonx/keras-global-wheat-detection-with-mask-rcnn", "kernel_id": "9390850"}, {"ref": "pednt9/gwd-keras-unet-starter", "kernel_id": "9288903"}, {"ref": "akashsuper2000/fasterrcnn-pseudo-labeling", "kernel_id": "9392461"}, {"ref": "akashsuper2000/global-wheat-detection-pseudo-labaling", "kernel_id": "9561908"}, {"ref": "akashsuper2000/pytorch-starter-fasterrcnn-inference", "kernel_id": "9569573"}, {"ref": "akashsuper2000/pytorch-starter-fasterrcnn-train", "kernel_id": "9569899"}, {"ref": "akashsuper2000/submission-kernel", "kernel_id": "9527980"}, {"ref": "akashsuper2000/oof-evaluation-efficientdet", "kernel_id": "9622329"}, {"ref": "akashsuper2000/file-submission-kernel", "kernel_id": "9642395"}, {"ref": "akashsuper2000/wbf-over-tta-single-model-efficientdet", "kernel_id": "9969691"}, {"ref": "akashsuper2000/global-wheat-detection-pseudo-labelling", "kernel_id": "9914096"}, {"ref": "akashsuper2000/bayesian-optimization-wbf-efficientdet", "kernel_id": "9828561"}, {"ref": "chiragpandav/complete-code-in-tensorflow", "kernel_id": "9587115"}, {"ref": "siddhantbhambri/gwd-beginner-code-eda-basic-augmentations", "kernel_id": "9584547"}, {"ref": "yashchoudhary/gwd-eda-and-starter-code-beginner-friendly", "kernel_id": "9472832"}, {"ref": "yashchoudhary/gwd-fasterrcnn-with-augmentation-train-inference", "kernel_id": "9577532"}, {"ref": "trungthanhnguyen0502/gwd-inference", "kernel_id": "9813035"}, {"ref": "harshris21/top-to-bottom-with-sota-detecteron-2", "kernel_id": "9900967"}, {"ref": "harshris21/top-to-bottom-with-sota-detecteron-5", "kernel_id": "9814677"}, {"ref": "kshen3778/hyperparameter-search-for-fasterrcnn", "kernel_id": "9368099"}, {"ref": "kshen3778/bounding-boxes-logging-shuffling-analysis", "kernel_id": "9539712"}, {"ref": "jimuka/enhance-image", "kernel_id": "9320031"}, {"ref": "jimuka/eda-visualize", "kernel_id": "9315197"}, {"ref": "jimuka/csv2xml", "kernel_id": "9305778"}, {"ref": "timetraveller98/eda-making-some-dough-global-wheat-detection", "kernel_id": "9288795"}, {"ref": "nxhong93/wheat-detectron2", "kernel_id": "9733563"}, {"ref": "debanga/faster-rcnn-a-gentle-introduction", "kernel_id": "9311312"}, {"ref": "debanga/cutmix-in-python", "kernel_id": "9583113"}, {"ref": "kondwani/augmentations-data-cleaning-and-bounding-boxes", "kernel_id": "9481694"}, {"ref": "pranshu29/vehicle-detection-lane-segmentation", "kernel_id": "9185931"}, {"ref": "martxelo/wheat-dataset", "kernel_id": "9353634"}, {"ref": "sohaibanwaar1203/wheat-detection", "kernel_id": "9948901"}, {"ref": "mattbast/object-detection-tensorflow-end-to-end", "kernel_id": "9548785"}, {"ref": "muellerzr/fastai2-starter-kernel", "kernel_id": "9458106"}, {"ref": "aravindsairam1995/dataset-class-and-dataloader-pytorch", "kernel_id": "9455142"}, {"ref": "aravindsairam1995/small-and-big-bounding-box", "kernel_id": "9509784"}, {"ref": "nvnnghia/yolov4-inference", "kernel_id": "9386416"}, {"ref": "nvnnghia/keras-centernet-inference", "kernel_id": "9371498"}, {"ref": "nvnnghia/awesome-augmentation", "kernel_id": "9504008"}, {"ref": "nvnnghia/keras-centernet-training", "kernel_id": "9342542"}, {"ref": "nvnnghia/fasterrcnn-pseudo-labeling", "kernel_id": "9322682"}, {"ref": "armin25/gwd-starter-gpu-v2-train", "kernel_id": "9310582"}, {"ref": "armin25/gwd-starter-gpu-v2-infer", "kernel_id": "9310757"}, {"ref": "ashoksrinivas/eda-pre-processing-and-anchor-generation-for-yolo", "kernel_id": "9380258"}, {"ref": "ashoksrinivas/data-augmentation-data-generation-yolo", "kernel_id": "9346338"}, {"ref": "vincentyong97/efficientdet-inference", "kernel_id": "9417239"}, {"ref": "fengyun0720/wheat-detection-eda", "kernel_id": "9798365"}, {"ref": "fengyun0720/anchor-clustering", "kernel_id": "9879187"}, {"ref": "unity05/globalwheatdetection", "kernel_id": "9737065"}, {"ref": "suvralipi/global-wheat-prediction-eda-albumentations", "kernel_id": "9843205"}, {"ref": "whurobin/training-efficientdet", "kernel_id": "9627987"}, {"ref": "whurobin/data-augmentation-test-with-albumentations", "kernel_id": "9561768"}, {"ref": "totandutta/wheat-1-0", "kernel_id": "9797458"}, {"ref": "julienbeaulieu/detectron2-wheat-detection", "kernel_id": "9938313"}, {"ref": "labintsevai/kerasretinanet-wheat-submission", "kernel_id": "9356807"}, {"ref": "omegaji/segmentations-boundingboxing-experimental-d", "kernel_id": "9456508"}, {"ref": "sovitrath/pytorch-starter-faster-rcnn-train", "kernel_id": "9337608"}, {"ref": "anirbansen3027/global-wheat-detection-beginner-eda", "kernel_id": "9513541"}, {"ref": "krati7/global-wheat-detection-using-keras-retina", "kernel_id": "9725899"}, {"ref": "mistag/global-wheat-to-tfrecords", "kernel_id": "9511148"}, {"ref": "mistag/object-detection-with-detecto-pytorch", "kernel_id": "9455523"}, {"ref": "sneha5gsm/wheat-detection-yolo", "kernel_id": "9551743"}, {"ref": "ajax0564/object-detection-augmentation", "kernel_id": "9456255"}, {"ref": "mpwolke/wheat-fields-and-foxes", "kernel_id": "9292012"}, {"ref": "barteksadlej123/first-good", "kernel_id": "9546106"}, {"ref": "gc1023/global-wheat-detection-eda", "kernel_id": "9293731"}, {"ref": "gc1023/fork-of-fasterrcnn-pseudo-labeling", "kernel_id": "9350547"}, {"ref": "marcelosanchezortega/wbf-over-tta-single-model-efficientdet", "kernel_id": "9959215"}, {"ref": "sureshmecad/global-wheat-detection", "kernel_id": "9431433"}, {"ref": "niranjankumarc/global-wheat-detection-data-cleaning-eda-beginner", "kernel_id": "9503563"}, {"ref": "akshaygothe56/wheat-eda", "kernel_id": "9479319"}, {"ref": "santosh8896/kernel51f11bcb47", "kernel_id": "9681398"}, {"ref": "santosh8896/efficientdet-with-pseduo-labeling", "kernel_id": "9731966"}, {"ref": "sherryzhang000/kernel5462168b24", "kernel_id": "9611728"}, {"ref": "arnimen5/idea-color-conversion", "kernel_id": "9766713"}, {"ref": "susant4learning/understandingwheatdataset", "kernel_id": "9366022"}, {"ref": "reighns/augmentations-data-cleaning-and-bounding-boxes", "kernel_id": "9427853"}, {"ref": "surenj/detectron2-wheat-detection-gpu", "kernel_id": "9981004"}, {"ref": "piantic/clean-global-wheat-detection-eda-for-bboxs", "kernel_id": "9298526"}, {"ref": "kyoshioka47/pytorch-centernet-inference-with-tta", "kernel_id": "9406914"}, {"ref": "kyoshioka47/centernet-starterkit-pytorch", "kernel_id": "9336319"}, {"ref": "eswarchandt/global-wheat-detection-computer-vision", "kernel_id": "9308220"}, {"ref": "greatgamedota/centernet-baseline-keras-training", "kernel_id": "9344750"}, {"ref": "daenys2000/global-wheat-detection-eda", "kernel_id": "9821452"}, {"ref": "raininbox/efficientdet-with-pseduo-labeling", "kernel_id": "9648420"}, {"ref": "shubhambavishi/faster-rcnn-demo", "kernel_id": "9370883"}, {"ref": "aviralpamecha/inference-keras-retinanet", "kernel_id": "9541535"}, {"ref": "aviralpamecha/kernel51ee132115", "kernel_id": "9376790"}, {"ref": "viswanadthbolla/wheat-buds-bbox-visualisation", "kernel_id": "9490177"}, {"ref": "ravirajsinh45/wheat-detection-using-yolo-and-opencv", "kernel_id": "9609199"}, {"ref": "akashadesai/globalwheatdetection-eda", "kernel_id": "9614916"}, {"ref": "aryaprince/getting-started-with-object-detection-with-pytorch", "kernel_id": "9371312"}, {"ref": "nealys1049/faster-rcnn-with-mmdetection", "kernel_id": "9884754"}, {"ref": "nealys1049/test-pytorch-faster-r-cnn-with-resnet152-backbone", "kernel_id": "9886464"}, {"ref": "nealys1049/mycenternettuili", "kernel_id": "9867204"}, {"ref": "send2arijit/global-wheat-detection-dataanalysis-and-prediction", "kernel_id": "9497126"}, {"ref": "rohitsingh9990/simpleeda-visualizations", "kernel_id": "9289572"}, {"ref": "almogstern/pytorch-starter-fasterrcnn-inference", "kernel_id": "9882523"}, {"ref": "arunmohan003/faster-rcnn-with-psudo-labeling-pytorch", "kernel_id": "9361136"}, {"ref": "arunmohan003/inferance-kernel-fasterrcnn", "kernel_id": "9306194"}, {"ref": "arunmohan003/fasterrcnn-using-pytorch-baseline", "kernel_id": "9297290"}, {"ref": "tasnimnishatislam/inference-detectron2-resnest-expained", "kernel_id": "9830768"}, {"ref": "tasnimnishatislam/global-wheat-detection-with-yolo-v3", "kernel_id": "9739412"}, {"ref": "raozhan/mmd-gloabl", "kernel_id": "9751040"}, {"ref": "jianiwu/fasterrcnn-train-inference", "kernel_id": "9869295"}, {"ref": "nielsneerhoff/kernel30226e1860", "kernel_id": "9469393"}, {"ref": "luukhofman/wheat-detection-faster-rcnn", "kernel_id": "9392151"}, {"ref": "sagaragrawal/kernel4c2cb0b65a", "kernel_id": "9585760"}, {"ref": "nicholasbardy/kernel3056b51516", "kernel_id": "9496500"}, {"ref": "alexandersoare/how-to-prepare-a-stratified-split", "kernel_id": "9588812"}, {"ref": "chittalpatel/global-wheat-detection-keras-retinanet-eda", "kernel_id": "9292950"}, {"ref": "lz1997/wheat-coco-label", "kernel_id": "9890918"}, {"ref": "lz1997/mmdetection-training-cascade-rcnn-wheat", "kernel_id": "9952063"}, {"ref": "destiny164o/pytorch-starter-fasterrcnn-train-50dc5c", "kernel_id": "9529329"}, {"ref": "shubhamai/wheat-detection", "kernel_id": "9315411"}, {"ref": "zekun98/inference-efficientdet-abee8b", "kernel_id": "9906561"}, {"ref": "takapashi/eda-for-begginers", "kernel_id": "9318337"}, {"ref": "blueturtle/pytorch-starter-fasterrcnn-train", "kernel_id": "9365354"}, {"ref": "dhiiyaur/fasterrcnn-eda-augmentation-compare-models", "kernel_id": "9996129"}, {"ref": "senthilskm/yolov3-for-wheat-head-detection", "kernel_id": "9545575"}, {"ref": "masteryux/global-wheat-detection-augment-generation", "kernel_id": "9396773"}, {"ref": "marcomichelotti/efficientdet-d4-62", "kernel_id": "9498754"}, {"ref": "harelazim/wheat-detection", "kernel_id": "9828208"}, {"ref": "florisyaria/wheat-eda-visualize-by-source", "kernel_id": "9349596"}, {"ref": "socralee/fasterrcnn-train2", "kernel_id": "9922034"}, {"ref": "rajvhora/kernel60eefb2e11", "kernel_id": "9711509"}, {"ref": "facevisalilai/kernel54beb4b767", "kernel_id": "9682236"}, {"ref": "madhurpatle/train-faster-rcnn-using-keras", "kernel_id": "9886394"}, {"ref": "madhurpatle/eda-and-data-annotation-for-faster-rcnn", "kernel_id": "9886439"}, {"ref": "yangxiao945/mysubmit-kernel", "kernel_id": "9592106"}, {"ref": "jerry42tw/fasterrcnn", "kernel_id": "9934954"}, {"ref": "ronyroy/10-mins-or-less-training-and-inference-tf2-object", "kernel_id": "10691632"}, {"ref": "loveall/automated-ml-tools-for-data-scientists", "kernel_id": "10708378"}, {"ref": "impiyush/simply-convert-data-to-coco-format", "kernel_id": "10946971"}, {"ref": "yassinealouini/efficientdet-meets-pytorch-lightning", "kernel_id": "10500732"}, {"ref": "markpeng/darknet-gpu-on-kaggle", "kernel_id": "10981580"}, {"ref": "sramirez/training-efficientdet-gradient-accumulation-f1", "kernel_id": "10324076"}, {"ref": "crained/yolov5-wheat-starter", "kernel_id": "10584510"}, {"ref": "krishnaharish/yolov5-pseudo-labeling", "kernel_id": "10866226"}, {"ref": "krishnaharish/yolov5-pseudo-labeling-oof-evaluation", "kernel_id": "10866381"}, {"ref": "krishnaharish/yolov5-pseudo-labeling-oof-evaluation-55ab34", "kernel_id": "10866431"}, {"ref": "cosminalexandru/kernel348de0cf1d", "kernel_id": "10652615"}, {"ref": "cosminalexandru/kernel3c4c03854b", "kernel_id": "10634555"}, {"ref": "cosminalexandru/kernel3a5745bf38", "kernel_id": "10253494"}, {"ref": "cosminalexandru/kernel1cf7569c78", "kernel_id": "10276871"}, {"ref": "cosminalexandru/kernel1b16e9385c", "kernel_id": "10276903"}, {"ref": "cosminalexandru/kernel4ad6778a3d", "kernel_id": "10283761"}, {"ref": "voglinio/spike-wheat-dataset", "kernel_id": "10763902"}, {"ref": "fulkast/v1-minimal-global-wheat-detection-training", "kernel_id": "10126494"}, {"ref": "mayukh18/keras-yolo3-inference", "kernel_id": "10243291"}, {"ref": "mayukh18/stitch-boxes-augmentation", "kernel_id": "10976680"}, {"ref": "amiras/pseudo-ensemble-detectors-3-st-universenet-r10", "kernel_id": "10925690"}, {"ref": "abhishek4273/detection-using-monk-ai-toolkit", "kernel_id": "10500456"}, {"ref": "abhishek4273/starter-code-using-monk-object-detection-library", "kernel_id": "10640650"}, {"ref": "dipam7/wheat-head-classification", "kernel_id": "10273031"}, {"ref": "chrisstan/darknet2pytorch-apache-license-yolov4-inference", "kernel_id": "10730667"}, {"ref": "himaprasoon/first-look", "kernel_id": "10019568"}, {"ref": "kuzn137/corrected-u-net-starter", "kernel_id": "10426019"}, {"ref": "kuzn137/unet-with-data-augmentation-and-sliced-masks", "kernel_id": "10826797"}, {"ref": "fmobrj1975/detr50-round19-800-50pct", "kernel_id": "10783594"}, {"ref": "kuriyaman1002/pytorch-starter-fasterrcnn-train", "kernel_id": "10850242"}, {"ref": "mihirmavalankar/gwd-external-repos-mihir", "kernel_id": "10465397"}, {"ref": "prokaj/end-to-end-object-detection-with-transformers-detr", "kernel_id": "10421782"}, {"ref": "tiandaye/convert-csv-to-json", "kernel_id": "10228223"}, {"ref": "jeinsong/gwhd-4pieces-puzzles-augmentation", "kernel_id": "10300233"}, {"ref": "christianhritter/wheatdetection-eda-1", "kernel_id": "10350504"}, {"ref": "savanmorya/efficientdet-keras-train-and-test-offline", "kernel_id": "10779150"}, {"ref": "aamster/evaluation-metric-mean-precision-calculation", "kernel_id": "10055897"}, {"ref": "truonghoang/yolov3-compliant-0-6859-private-leaderboard", "kernel_id": "10939498"}, {"ref": "pestipeti/error-analysis", "kernel_id": "10003028"}, {"ref": "poddiachyi/inference-yolov5-cleanest-notebook", "kernel_id": "10674717"}, {"ref": "poddiachyi/train-yolov5-cleanest-notebook", "kernel_id": "10576628"}, {"ref": "davlanigan/frcnn-train", "kernel_id": "10258518"}, {"ref": "thedatamonk/global-wheat-detection-eda", "kernel_id": "10269462"}, {"ref": "ufownl/global-wheat-detection-k-fold", "kernel_id": "10240095"}, {"ref": "ufownl/global-wheat-detection-inference-608x608", "kernel_id": "10945066"}, {"ref": "ufownl/global-wheat-detection-pseudo-labaling-608x608", "kernel_id": "10962315"}, {"ref": "houbowei/train", "kernel_id": "10499489"}, {"ref": "orkatz2/pseudo-efficientdet-d7-multiscale-tta-pb-0-708", "kernel_id": "10761788"}, {"ref": "orkatz2/3dwarp-augmentation", "kernel_id": "10660455"}, {"ref": "orkatz2/ensemble-yolov5-pseudo-labeling-d5-d7-resnest", "kernel_id": "10451381"}, {"ref": "orkatz2/yolov5-fake-or-real-single-model-l-b-0-753", "kernel_id": "10193343"}, {"ref": "orkatz2/yolov5x-k-folds-lb-0-748", "kernel_id": "10288268"}, {"ref": "orkatz2/yolov5-train", "kernel_id": "10273796"}, {"ref": "orkatz2/pytorch-pix-2-pix-for-image-colorization", "kernel_id": "10326382"}, {"ref": "vishnukv64/wheatron", "kernel_id": "10225847"}, {"ref": "vishnukv64/yolov5-inference", "kernel_id": "10310678"}, {"ref": "vishnukv64/yolov3-inference", "kernel_id": "10154466"}, {"ref": "vishnukv64/yolov3", "kernel_id": "10152900"}, {"ref": "adunuthulan/wheat-head-detection-with-mrcnn", "kernel_id": "10909752"}, {"ref": "mahendrachouhanml/fast-rcnn-inference", "kernel_id": "10105983"}, {"ref": "iamprateek/wheat-head-detection-yolov4", "kernel_id": "10514615"}, {"ref": "joechenrh/pytorch-yolov3", "kernel_id": "10302598"}, {"ref": "reppic/fcos-fully-convolutional-1-stage-object-detection", "kernel_id": "10846371"}, {"ref": "carryhjr/yolov5-submit", "kernel_id": "10885350"}, {"ref": "vin1234/gettingstarted-with-yolov5-global-wheat-detection", "kernel_id": "10641180"}, {"ref": "rifat963/training-yolov5-with-coco-pretrained-weights", "kernel_id": "10367400"}, {"ref": "farah1608/yolov5-pseudo-labeling", "kernel_id": "10506396"}, {"ref": "alexanderliao/spike-pseudolabel", "kernel_id": "10610943"}, {"ref": "ratthachat/wheat-resnest-pseudo-ensemble-framework-for-77pub", "kernel_id": "10962398"}, {"ref": "nguyenbadung/gwd2020", "kernel_id": "10267395"}, {"ref": "yfdong/fasterrcnn-pytorch", "kernel_id": "10132404"}, {"ref": "evanwconsl/hamming-window-algorithm-ewilliams", "kernel_id": "10890134"}, {"ref": "hawkey/yolov5-pseudo-labeling-oof-evaluation", "kernel_id": "10591400"}, {"ref": "mnpinto/boudingbox2mask-without-overlap", "kernel_id": "10014889"}, {"ref": "atrisaxena/wheat-detecton2", "kernel_id": "10978368"}, {"ref": "ankursingh12/efficientdet640-inference", "kernel_id": "10577897"}, {"ref": "parmarsuraj99/detr-for-wheat", "kernel_id": "10488464"}, {"ref": "reddyprasade/wheat-plants", "kernel_id": "10266947"}, {"ref": "xinyan989/0620yolov5tutorial", "kernel_id": "10228027"}, {"ref": "guizengyou/tta-more-transforms", "kernel_id": "10286383"}, {"ref": "moximo13/inference-object-detection-with-transformers-detr", "kernel_id": "10525886"}, {"ref": "ricardozi/submission-file", "kernel_id": "10483083"}, {"ref": "ricardozi/ricardo-train-weights", "kernel_id": "10496979"}, {"ref": "khoongweihao/insect-augmentation-with-efficientdet-d6", "kernel_id": "10217303"}, {"ref": "ffares/ensemble-3-tta-efficientdet557-1-tta-yolov5x", "kernel_id": "10510835"}, {"ref": "myspace/gluoncv-detection", "kernel_id": "10205693"}, {"ref": "phunghieu/gwd-resize-images-bboxes", "kernel_id": "10238375"}, {"ref": "jonykarki/fasterrcnn-resnet101-training", "kernel_id": "10351392"}, {"ref": "jonykarki/fasterrcnn-resnet101-inference", "kernel_id": "10355173"}, {"ref": "jonykarki/yolov5-inference", "kernel_id": "10448221"}, {"ref": "jonykarki/fasterrcnn-resnet101-tta-inference", "kernel_id": "10649362"}, {"ref": "jonykarki/fasterrcnn-resnet101-inference-as-is", "kernel_id": "10618900"}, {"ref": "jonykarki/simplefastercnn-inference", "kernel_id": "10230713"}, {"ref": "jonykarki/inference-efficientdet-d4", "kernel_id": "10889510"}, {"ref": "jonykarki/inference2-efficientdet-d4", "kernel_id": "10923608"}, {"ref": "jonykarki/fasterrcnn-resnet101-fold-3-tta", "kernel_id": "10767322"}, {"ref": "jonykarki/ensemble-fasterrcnn-rn101-cv", "kernel_id": "10764908"}, {"ref": "jonykarki/fork-of-fasterrcnn-resnet101-tta-inference", "kernel_id": "10712675"}, {"ref": "jonykarki/fasterrcnn-resnet101-tta-fold-3", "kernel_id": "10732880"}, {"ref": "jonykarki/inference-fasterrcnn-resnet101-fold-3", "kernel_id": "10731368"}, {"ref": "kaushal2896/yolov5x-pseudo-labeling-tta-ensemble", "kernel_id": "10490731"}, {"ref": "kaushal2896/efficientdet-pseudo-labeling-wbf-tta", "kernel_id": "10050208"}, {"ref": "kaushal2896/gwd-detectors-training-baseline-pytorch", "kernel_id": "10262978"}, {"ref": "suenqy/pytorch-fasterrcnn-eda-augmentation-compare", "kernel_id": "10299196"}, {"ref": "suenqy/first-try", "kernel_id": "10300960"}, {"ref": "nkchengln/1-yolov5-pseudo-labeling", "kernel_id": "10415940"}, {"ref": "sakumatcho/bbox-number-statics", "kernel_id": "10275391"}, {"ref": "ganesh562/global-wheat-detection-using-keras-retinanet", "kernel_id": "10434435"}, {"ref": "sgtbaur/fasterrcnn-aug", "kernel_id": "10125797"}, {"ref": "mightyrains/wheat-eda-location-wise-split", "kernel_id": "10357772"}, {"ref": "akashsuper2000/yolov5-pseudo-labeling", "kernel_id": "10525991"}, {"ref": "akashsuper2000/global-wheat-detection-with-pseudo-labelling", "kernel_id": "10075355"}, {"ref": "akashsuper2000/train-efficientdet-like-yolo-v5", "kernel_id": "10897287"}, {"ref": "akashsuper2000/yolov5-pseudo-labeling-oof-evaluation-4322a2", "kernel_id": "10965184"}, {"ref": "akashsuper2000/yolov5-pseudo-labeling-oof-evaluation", "kernel_id": "10911067"}, {"ref": "akashsuper2000/inference-efficientdet", "kernel_id": "10910799"}, {"ref": "bibhasmondal96/fastest-competition-metric-and-wbf-pytorch", "kernel_id": "10898935"}, {"ref": "jaideepvalani/gwd-eff-det-train-like-yolo", "kernel_id": "10892275"}, {"ref": "chanhu/wheat-efficientdet7-pseudo-label", "kernel_id": "10954017"}, {"ref": "m1nglei/mmdetectionv2-cascadercnn-resnest101", "kernel_id": "10662867"}, {"ref": "m1nglei/mmdetection-v2-detectors-training-colab", "kernel_id": "10463397"}, {"ref": "mishra5001/wheat-detetction-starter", "kernel_id": "10284377"}, {"ref": "nitindatta/yolov4-inference-with-extratta", "kernel_id": "10671751"}, {"ref": "nitindatta/storytelling-with-gwd-pre-print-data", "kernel_id": "10854344"}, {"ref": "nitindatta/fasterrcnn-cross-validation-by-source-with-tta", "kernel_id": "10950636"}, {"ref": "ravi02516/end-to-end-effiecientdet-training-keras", "kernel_id": "10699369"}, {"ref": "ravi02516/visualize-yolov3-darknet-results-on-test-data", "kernel_id": "10341150"}, {"ref": "ravi02516/tensorflow-efficientdet-d3-with-default-parameters", "kernel_id": "10518293"}, {"ref": "ravi02516/train-efficientdet-d0-d7-tensorflow", "kernel_id": "10553083"}, {"ref": "ravi02516/cleaning-and-preprocessing-train-csv", "kernel_id": "10645105"}, {"ref": "rjagiasi2/basic-image-pre-processing", "kernel_id": "10431484"}, {"ref": "gooogr/gwd-eda", "kernel_id": "10629076"}, {"ref": "gooogr/gwd-predicts-with-yolov4-and-gpu-darknet", "kernel_id": "10935103"}, {"ref": "vishalpentakota/gwd-using-pytorch-fastercnn", "kernel_id": "10545038"}, {"ref": "dimartinot/eda-bbox-distribution", "kernel_id": "10306414"}, {"ref": "jay0118jay/kernel70d11cc72d", "kernel_id": "10361491"}, {"ref": "saichandrareddy/datapreprocessing-for-tensorflowapi", "kernel_id": "10415640"}, {"ref": "devendratapdia/wheat-detection-using-mask-rcnn", "kernel_id": "10799348"}, {"ref": "sharmaharshit426/100-days-of-kaggle-day-1", "kernel_id": "10986371"}, {"ref": "catmasteryip/wheat-data-engine-with-trial-results", "kernel_id": "10011915"}, {"ref": "anukool89/globalwheatdetection-eda", "kernel_id": "10789599"}, {"ref": "anastasii1/gwd-data-puzzles-augmented-datatset-x6", "kernel_id": "10384326"}, {"ref": "pierricm/pytorch-starter-fasterrcnn-train", "kernel_id": "10023605"}, {"ref": "levevt2012/wheat-detector", "kernel_id": "10783450"}, {"ref": "nvnnghia/yolov5-pseudo-labeling", "kernel_id": "10370002"}, {"ref": "koroko1/wheat-mask-detectron2", "kernel_id": "10978583"}, {"ref": "k4rth33k/wheat-detection", "kernel_id": "10800416"}, {"ref": "k4rth33k/pytorch-starter-fasterrcnn-inference", "kernel_id": "10808966"}, {"ref": "fengyun0720/new-mmdetection-submit", "kernel_id": "10282385"}, {"ref": "dhavalkumar/wheat-detection", "kernel_id": "10772957"}, {"ref": "liranzxc/wheat-finally-submit-liran-nachman", "kernel_id": "10237683"}, {"ref": "liranzxc/global-wheat-detection-liran-nachman", "kernel_id": "10486841"}, {"ref": "liranzxc/tta-rcnn-wbf", "kernel_id": "10361009"}, {"ref": "angqx95/train-infer-updated-version-efficientdet", "kernel_id": "10557715"}, {"ref": "qq1623620766/small-rectify", "kernel_id": "10944436"}, {"ref": "balogi85/retinanet-wheat-net-on", "kernel_id": "10043916"}, {"ref": "abhinayreddyy/possible-augmentation-types-with-bounding-boxes", "kernel_id": "10658194"}, {"ref": "leoisleo1/yolov5-pseudo-labeling-oof-evaluation-lb-0-741", "kernel_id": "10786732"}, {"ref": "virajbagal/pytorch-starter-detection-transformer-train", "kernel_id": "10373351"}, {"ref": "whurobin/fastercnn-resnest-inference", "kernel_id": "10495605"}, {"ref": "whurobin/wbf-over-tta-single-model-fasterrcnn-resnest", "kernel_id": "10486047"}, {"ref": "julienbeaulieu/detectron2-wheat-detection-eda-training-eval", "kernel_id": "10044294"}, {"ref": "sovitrath/fasterrcnn-resnet152-train-final-clean-nb", "kernel_id": "10994311"}, {"ref": "tanulsingh077/faster-rcnn-baseline", "kernel_id": "10442207"}, {"ref": "tanulsingh077/end-to-end-object-detection-with-transformers-detr", "kernel_id": "10379859"}, {"ref": "sakshamjn/augmentations-data-cleaning-and-bounding-boxes", "kernel_id": "10569052"}, {"ref": "goldsnitch/interactive-image-masks-eda-utility", "kernel_id": "10918824"}, {"ref": "rubustjay/yolov5-inference", "kernel_id": "10679803"}, {"ref": "hyeonggwon/pytorch-starter-fasterrcnn-inference-d28c5d", "kernel_id": "10436807"}, {"ref": "deltaechov/gwd-onecyclefit", "kernel_id": "10483136"}, {"ref": "ajax0564/cut-mix-hsv-affine-bbox", "kernel_id": "10654359"}, {"ref": "ajax0564/scaling-the-boxes", "kernel_id": "10237628"}, {"ref": "ajax0564/efficientdet6-8-12-10-mix", "kernel_id": "10849548"}, {"ref": "ajax0564/mine-4-puzzles", "kernel_id": "10665781"}, {"ref": "genvsdis/wbf-over-tta-single-model-efficientdet", "kernel_id": "10011128"}, {"ref": "genvsdis/yolov5-pseudo-labeling-oof-evaluation", "kernel_id": "10676990"}, {"ref": "bhavesjain/gwd-train", "kernel_id": "10619998"}, {"ref": "bhavesjain/gw-infer", "kernel_id": "10623753"}, {"ref": "bhavesjain/gwd-augmentations", "kernel_id": "10707895"}, {"ref": "bhavesjain/gwd-augs", "kernel_id": "10711281"}, {"ref": "saurav9786/wheat-detection", "kernel_id": "10649313"}, {"ref": "wonjunpark/efficientdet-framework-apex-epoch8", "kernel_id": "10973815"}, {"ref": "musgan/wheat-detectection-faster-r-cnn-by-pytorch", "kernel_id": "10110600"}, {"ref": "vineeth1999/global-wheat-detection-pseudo-labaling", "kernel_id": "10219842"}, {"ref": "lakshya91/wheat-head-detection-inference", "kernel_id": "10734064"}, {"ref": "lakshya91/wheat-head-detection", "kernel_id": "10539373"}, {"ref": "raviyadav2398/wheat-detection", "kernel_id": "10458725"}, {"ref": "telawang/data-exploration-for-global-wheat-detection", "kernel_id": "10779081"}, {"ref": "kenextra/detectron2-first-kernel-with-segmentation-head", "kernel_id": "10047807"}, {"ref": "liw5589/wbf-over-tta-single-model-efficientdet", "kernel_id": "10102170"}, {"ref": "rickyd/inference-gwd-efficientdet", "kernel_id": "10853579"}, {"ref": "rickyd/inference-fasterrcnn", "kernel_id": "10665202"}, {"ref": "rickyd/inference-gwd-detectron2", "kernel_id": "10739768"}, {"ref": "mohitmaithani/starter-code-and-plotting", "kernel_id": "10607736"}, {"ref": "weharris/pytorch-starter-fasterrcnn-train-ed00", "kernel_id": "10267436"}, {"ref": "weharris/yolov5-train", "kernel_id": "10399887"}, {"ref": "weharris/pytorch-starter-fasterrcnn-inference-original", "kernel_id": "10393383"}, {"ref": "weharris/00-fasterrcnn-wheat-inference-v02-eh", "kernel_id": "10764697"}, {"ref": "shubham9455999082/opencv-eda-simple-basic-concept-based-notebook", "kernel_id": "10697061"}, {"ref": "yongshenghou/yolo-v5", "kernel_id": "10593697"}, {"ref": "yongshenghou/yolov5-pseudo-labeling-oof", "kernel_id": "10606525"}, {"ref": "yongshenghou/effdet", "kernel_id": "10604738"}, {"ref": "daenys2000/fasterrcnn-pytorch", "kernel_id": "10801046"}, {"ref": "doanquanvietnamca/insect-augmentation-with-efficientdet-d7", "kernel_id": "10700115"}, {"ref": "raininbox/check-clean-big-small-bboxes", "kernel_id": "10638759"}, {"ref": "raininbox/cutout-updown-leftright-yolo-v5-pseduo-labeling", "kernel_id": "10641414"}, {"ref": "raininbox/train-efficientdet-like-yolo-v5", "kernel_id": "10814173"}, {"ref": "zengyaner/yolov5-pseudo-labeling-c4677a", "kernel_id": "10549959"}, {"ref": "zengyaner/yolov5-pseudo-labeling", "kernel_id": "10515829"}, {"ref": "naimur978/wheat-head-detection-yolov5-pseudo-labelling-oof", "kernel_id": "10603619"}, {"ref": "imkaran23/face-mask-detection-efficientdet-d5-training", "kernel_id": "10098638"}, {"ref": "imkaran23/face-mask-detection-efficientdet-inference", "kernel_id": "10113008"}, {"ref": "aakashveera/notebook-rcnn", "kernel_id": "10896364"}, {"ref": "aakashveera/notebook1", "kernel_id": "10881712"}, {"ref": "aakashveera/yolo-v4-dataset-creator", "kernel_id": "10931088"}, {"ref": "srnesara/kernel2365158742", "kernel_id": "10107214"}, {"ref": "nipaanjum/first-submission", "kernel_id": "10488608"}, {"ref": "lavendelion/kernel35e0286276", "kernel_id": "10009851"}, {"ref": "alpacayt/kernel106dfc7449", "kernel_id": "10568550"}, {"ref": "sanyam83/global-wheat-detection-using-retinanet", "kernel_id": "10361499"}, {"ref": "fallen123/faster-rcnn", "kernel_id": "10507286"}, {"ref": "ravirajsinh45/global-wheat-yolo-labels", "kernel_id": "10825792"}, {"ref": "ravirajsinh45/csv-for-tensorflow-od-api-tfrecord-required-format", "kernel_id": "10214441"}, {"ref": "ravirajsinh45/global-wheat-tensorflow-object-detection-api", "kernel_id": "10497631"}, {"ref": "jqeric/detectors-new-sota-based-mmdetection", "kernel_id": "10229753"}, {"ref": "motoight/mycenternet", "kernel_id": "10051268"}, {"ref": "motoight/fork-of-mycenternet", "kernel_id": "10089666"}, {"ref": "havinath/object-detection-using-pytorch-training", "kernel_id": "10846434"}, {"ref": "kkhandekar/analysing-those-wheat-heads-object-detection", "kernel_id": "10518107"}, {"ref": "x2x21x21x21/3rd-place-solution", "kernel_id": "10101386"}, {"ref": "misakrug/kernel4eb65c8d4c", "kernel_id": "10204748"}, {"ref": "yearing1017/yolo5", "kernel_id": "10842324"}, {"ref": "yearing1017/faster-rcnn-pytorch", "kernel_id": "10467520"}, {"ref": "raufyagfarov/mmdetection-yolov4-pipeline-with-tta", "kernel_id": "10919071"}, {"ref": "jorgemartinsanz/presentaci-n-y-visualizaci-n", "kernel_id": "10015895"}, {"ref": "gyanendradas/ensemble-yolov5", "kernel_id": "10613744"}, {"ref": "haoanwang/yolo5-final-basemodel", "kernel_id": "10425636"}, {"ref": "marcowu/ap2-0effd-yolov4-pseudo-labeling-oof-evalu", "kernel_id": "10922738"}, {"ref": "tasnimnishatislam/pytorch-starter-fasterrcnn-train-explained", "kernel_id": "10241703"}, {"ref": "zacchaeus/train-yolov4-pytorch", "kernel_id": "10741965"}, {"ref": "raozhan/eff-off-wbf-pl", "kernel_id": "10795878"}, {"ref": "pasttestfuture/easy-and-clean-version-of-evaluation", "kernel_id": "10016903"}, {"ref": "anzhemeng/yolov5-train", "kernel_id": "10439328"}, {"ref": "rachit07rawat/predict-rajnain", "kernel_id": "10571423"}, {"ref": "doctorkael/kernel1832929bf7", "kernel_id": "10824342"}, {"ref": "saimanojakondi/inference-kernel", "kernel_id": "10486188"}, {"ref": "saimanojakondi/my-center-net", "kernel_id": "10343710"}, {"ref": "deepangraval/wheat-detection-using-faster-rcnn-train", "kernel_id": "10282197"}, {"ref": "annamel11111/gwd-efficientdet-d5-25e-wbf-over-tta", "kernel_id": "10879077"}, {"ref": "annamel11111/gwd-version3", "kernel_id": "10765331"}, {"ref": "fengjiedong/begginner-thought", "kernel_id": "10949225"}, {"ref": "heorgiibolotov/kernel1a17c2da7e", "kernel_id": "10914216"}, {"ref": "idozada/wheat-detection-with-fasterrcnn", "kernel_id": "10863288"}, {"ref": "idozada/global-wheat-detection-efficientdet-d5", "kernel_id": "10957946"}, {"ref": "imakaruamikurah/detect-wheat-train-kerasretinanet-intermediate", "kernel_id": "10495217"}, {"ref": "imakaruamikurah/detect-wheat-results", "kernel_id": "10529573"}, {"ref": "chaonanxi/since-yolov5-is-out", "kernel_id": "10626778"}, {"ref": "pohanlin/yolo5-global-wheat", "kernel_id": "10910082"}, {"ref": "pohanlin/augmentation-with-efficientdet-d5", "kernel_id": "10911210"}, {"ref": "matanarobas/gwd-test", "kernel_id": "10252206"}, {"ref": "gengotaka/pytorch-functions-explain-for-beginner", "kernel_id": "10866585"}, {"ref": "jainamshah17/gwd-retinanet-pytorch-train", "kernel_id": "10550981"}, {"ref": "radiantmohit/kernel752fc0ef3d", "kernel_id": "10692624"}, {"ref": "ananysharma/global-wheat-challenge-image-augmentation", "kernel_id": "10917912"}, {"ref": "ashayajbani/efficientdet-pytorch", "kernel_id": "10639465"}, {"ref": "rokeshkumarg/gwd-eda", "kernel_id": "10917554"}, {"ref": "eladsoll/gwd-es", "kernel_id": "10214429"}, {"ref": "annamart/pytorch-starter-fasterrcnn-train-8f4c7a", "kernel_id": "10983450"}, {"ref": "eclipser33/faster-rcnn-with-pytorch", "kernel_id": "10930836"}, {"ref": "absolutegaming/end-to-end-wheat-detection-eda", "kernel_id": "10680575"}, {"ref": "qingyuanwang/detr-inference", "kernel_id": "10484186"}, {"ref": "bilibi/kernel7b4af29e72", "kernel_id": "10490517"}, {"ref": "bilibi/kernel7986eb6517", "kernel_id": "10465225"}, {"ref": "muhammadbasilv/wheat-torch", "kernel_id": "10079673"}, {"ref": "muhammadbasilv/kernel7425aac583", "kernel_id": "10293385"}, {"ref": "muhammadbasilv/kernel3831d22a64", "kernel_id": "10303668"}, {"ref": "muhammadbasilv/kernele95551b43f", "kernel_id": "10294142"}, {"ref": "muhammadbasilv/with-simplified-yolov3", "kernel_id": "10320624"}, {"ref": "muhammadbasilv/yolov4-inference2", "kernel_id": "10538889"}, {"ref": "muhammadbasilv/wheat-origi-v-h-vh-hv", "kernel_id": "10416187"}, {"ref": "dhiiyaur/detectron-2-compare-models-augmentation", "kernel_id": "10176949"}, {"ref": "sahilgupta001/basic-preprocessing", "kernel_id": "10439673"}, {"ref": "youshuaiyang/yolov5-pseudo-labeling", "kernel_id": "10576910"}, {"ref": "yuzhiwen/darknet-yolov4-training", "kernel_id": "10824368"}, {"ref": "krish196/wheat", "kernel_id": "10028458"}, {"ref": "daeyeopkim/gwd-first-work-with-yolo", "kernel_id": "10785852"}, {"ref": "nacirbouazizi/well-explained-training-pipeline-to-get-lb-0-760", "kernel_id": "10469613"}, {"ref": "mohammaddilshad/gwd-with-mask-rcnn-and-coco-transfer-learning", "kernel_id": "10045589"}, {"ref": "aishwaryapalit/wheat-detection-using-yolov5", "kernel_id": "10498477"}, {"ref": "sadmanaraf/wheat-detection-using-faster-rcnn-train", "kernel_id": "10162785"}, {"ref": "mirmahathirmohammad/my-kaggle-wheat", "kernel_id": "10988533"}, {"ref": "hritikkumar12/global-wheat-detection-ipynb", "kernel_id": "10886845"}, {"ref": "enukuro/global-wheat-detection-tfrecord-writer", "kernel_id": "10851449"}, {"ref": "enukuro/keras-efficientdet-on-tpu", "kernel_id": "10938649"}, {"ref": "stonewst98/efficientdet-submit-code-with-pl-tta-wbf", "kernel_id": "10980935"}, {"ref": "jodagiri/myyolov5-pl-oof", "kernel_id": "10641067"}, {"ref": "harelazim/fasterrcnn-resnet101-tta-ensemble", "kernel_id": "10748915"}, {"ref": "avivlazar/final-project-submission-only", "kernel_id": "10255929"}, {"ref": "ChristianDenich/end2end-object-detection-with-fasterrcnn", "kernel_id": "10493572"}, {"ref": "youngsteringabout/eli-ori-submit", "kernel_id": "10917353"}, {"ref": "youngsteringabout/eli-bunimovich-ori-sagi-global-wheat-detection", "kernel_id": "10846654"}, {"ref": "romanprasolov/global-wheat-detection-efficientdet-d7x", "kernel_id": "10968753"}, {"ref": "beelee4085/bayesian-optimization-wbf-efficientdet", "kernel_id": "10514879"}, {"ref": "beelee4085/bayes-opt-wbf-tta-pl-effdet", "kernel_id": "10901910"}, {"ref": "facevisalilai/efficientdet", "kernel_id": "10175078"}, {"ref": "asepsaputra/exploratory-data-analysis-for-beginners", "kernel_id": "10292728"}, {"ref": "ximtecs/yolo-wheat", "kernel_id": "10008808"}, {"ref": "jingcchen/efficientdet-tta-pl-wbf-oof", "kernel_id": "10994346"}, {"ref": "pythonmaster01/yolov5-pseudo-labeling-oof-evaluation", "kernel_id": "10744930"}, {"ref": "aycaidil/my-own-starter-fft-fasterrcnn-train", "kernel_id": "10196755"}, {"ref": "aycaidil/fft-fasterrcnn-test", "kernel_id": "10209078"}, {"ref": "shengzhan/yolov5-pseudo-labeling-oof-evaluation", "kernel_id": "10657405"}, {"ref": "stanleyjzheng/yolov4-pseudolabelling-oof", "kernel_id": "10961406"}, {"ref": "jerry42tw/gwd-fasterrcnn-with-augmentation-train-inference", "kernel_id": "10122090"}, {"ref": "zoms01/kernel3e39ba682a", "kernel_id": "10029951"}, {"ref": "sudhir2016/creating-label-files-for-yolo", "kernel_id": "10344935"}, {"ref": "joeldcunha/gwd-sarter-efficientdet-keras-train", "kernel_id": "10595014"}, {"ref": "rafaeltemirgaliev/kernel69c432ea79", "kernel_id": "10616021"}, {"ref": "madhur2patle/sggs-first-submission", "kernel_id": "10968263"}, {"ref": "zhang007bond/efficientdethhh", "kernel_id": "10996330"}, {"ref": "liubiyuan/kernel1d24c0866a", "kernel_id": "10450123"}, {"ref": "royalxy7/kernel5893d38a", "kernel_id": "10603914"}, {"ref": "haeun961019/kernel726852f255", "kernel_id": "10532378"}, {"ref": "kidosakura/wheat", "kernel_id": "10929586"}, {"ref": "muhbasilv/bifpn5-inff", "kernel_id": "10705696"}, {"ref": "zekunn/inference-efficientdet4", "kernel_id": "10700347"}, {"ref": "jiangbaoxiang/fork-of-fork-of-yolov5-pseudo-labeling", "kernel_id": "10878859"}, {"ref": "kyushuxin/kernel1483a64e17", "kernel_id": "10910608"}, {"ref": "markpeng/yolov4-infer-gpu-v3-tta-fold2-pseudo-label-final", "kernel_id": "11028656"}, {"ref": "riblidezso/gwd-efficientdet-clean-training-and-inference-code", "kernel_id": "11041397"}, {"ref": "hisudha/wheat-detection-v1", "kernel_id": "11039517"}, {"ref": "hisudha/wheat-detection-v2", "kernel_id": "11202063"}, {"ref": "rsesha/comparing-autoviml-to-pycaret-multiple-data", "kernel_id": "11375105"}, {"ref": "davidtong/wheat-gen-tf", "kernel_id": "11021442"}, {"ref": "davidtong/efficientdet-tpu-train-1-epoch-in-4-min", "kernel_id": "11044467"}, {"ref": "mayurjain/automatic-mixed-precision-vs-no-amp", "kernel_id": "11153600"}, {"ref": "dyt811/gwd-yolov5submission", "kernel_id": "11042550"}, {"ref": "orkatz2/mixup-mosaic-color-stain", "kernel_id": "11045836"}, {"ref": "scatteredflo/gwd-sarter-efficientdet-keras-train-97e1f6", "kernel_id": "11984239"}, {"ref": "rkuo2000/efficientdet-gwd", "kernel_id": "11913115"}, {"ref": "rkuo2000/yolov5-pseudo-labeling", "kernel_id": "11946370"}, {"ref": "rkuo2000/yolov5-global-wheat-detection", "kernel_id": "11953349"}, {"ref": "alexanderliao/effdet-d6-pl-s-bn-r-bb-a3-usa-eval-94-13-db", "kernel_id": "11032254"}, {"ref": "kshitijpatil09/pytorch-mean-absolute-precision-calculation", "kernel_id": "11171684"}, {"ref": "ankursingh12/data-augmentation-for-object-detection", "kernel_id": "11417328"}, {"ref": "jsaguiar/fixed-wheat-bounding-boxes", "kernel_id": "11041658"}, {"ref": "jihangz/wheat-centernet-infer-bifpn-nfolds-tta-v2", "kernel_id": "11009243"}, {"ref": "jihangz/wheat-centernet-pseudo-l-bifpn", "kernel_id": "11011574"}, {"ref": "jihangz/wheat-effnet-b5-bifpn-centernet-train", "kernel_id": "11277958"}, {"ref": "alkattan/prepare-a-stratified-split", "kernel_id": "11705835"}, {"ref": "ffares/train-yolov5x", "kernel_id": "11919566"}, {"ref": "ffares/ensemble-models-tta-efficientdet-512-1024", "kernel_id": "11049556"}, {"ref": "jonykarki/inference-efficientdet-tta", "kernel_id": "11023012"}, {"ref": "jaideepvalani/normal-pl-eff-tta-wbf-1024", "kernel_id": "11029887"}, {"ref": "chanhu/wheat-efficientdet7-with-pl", "kernel_id": "11046720"}, {"ref": "chanhu/removing-false-positive-in-train-csv", "kernel_id": "11043298"}, {"ref": "m1nglei/fork-of-fork-of-effdet-d5-inference-pseudo-len0", "kernel_id": "11034997"}, {"ref": "nitindatta/yolov5-train", "kernel_id": "11265156"}, {"ref": "paritoshkr30/global-wheat-detection", "kernel_id": "11298796"}, {"ref": "godeep48/fasterrcnn-inference", "kernel_id": "11919883"}, {"ref": "godeep48/fasterrcnn-wheat-head-detection", "kernel_id": "11739851"}, {"ref": "cevangelist/object-detection-starter-fasterrcnn-with-resnet50", "kernel_id": "11045716"}, {"ref": "hpant438/wheat-detection-finalnb", "kernel_id": "11030721"}, {"ref": "aqid98/fasterrcnn", "kernel_id": "11029614"}, {"ref": "aditya23071991/inference-wheat", "kernel_id": "11040198"}, {"ref": "luciferadmin/yolov3-detector", "kernel_id": "11334010"}, {"ref": "sawantvishwajeet729/wheat-detection", "kernel_id": "11021585"}, {"ref": "ajax0564/fork-of-efficientdet6-8-12-10-mix07449-18ps-e44c17", "kernel_id": "11018597"}, {"ref": "buson94/fasterrcnn-resnet101-training", "kernel_id": "11152604"}, {"ref": "torikun3/kernel712aef1747", "kernel_id": "11031238"}, {"ref": "rickyd/inference-models-that-went-to-trash", "kernel_id": "11002582"}, {"ref": "mohitmaithani/mask-r-cnn-training", "kernel_id": "11027727"}, {"ref": "judy3578/commit-test", "kernel_id": "11036060"}, {"ref": "judy3578/first-try", "kernel_id": "11027381"}, {"ref": "slungile/data-science-2a", "kernel_id": "11022730"}, {"ref": "doanquanvietnamca/efficientdet-pseudolabeling-bayersianopti-16ffef", "kernel_id": "11011224"}, {"ref": "ankur95/wheatdetect-eda-bounding-boxes", "kernel_id": "11242716"}, {"ref": "taruntiwarihp/fastai-v1-global-wheat-detection-tutorial", "kernel_id": "11460829"}, {"ref": "riyajm/riyaj-lb-0-741", "kernel_id": "11040382"}, {"ref": "vamsik1211/kernel2d0e87fb10", "kernel_id": "11073277"}, {"ref": "raufyagfarov/mmdetection-yolov4-pipeline-with-t", "kernel_id": "11280349"}, {"ref": "zacchaeus/efficientdet-oof-0wd-0nw-no-plotting", "kernel_id": "11031213"}, {"ref": "kushagrababbar/notebookc4505bdd68", "kernel_id": "11532204"}, {"ref": "annamel11111/ensemble-d7-d5-model-efficientdet", "kernel_id": "11038141"}, {"ref": "annamel11111/ensemble-rcnn", "kernel_id": "11015800"}, {"ref": "alexandersoare/gwd-detect-by-quadrant-tta-trick", "kernel_id": "11069698"}, {"ref": "ashayajbani/wheat-detection-detr-inference", "kernel_id": "11078614"}, {"ref": "albinaalieva/notebook2040b44741", "kernel_id": "11659844"}, {"ref": "eclipser33/faster-rcnn-resnet50", "kernel_id": "11029041"}, {"ref": "akhileshdkapse/wheat-head-detection-with-retinanet-keras", "kernel_id": "11477723"}, {"ref": "akhileshdkapse/global-wheat-detection-comprehensive-eda", "kernel_id": "11417679"}, {"ref": "yukfaiwong/fastrcnn-wbf", "kernel_id": "11026366"}, {"ref": "anuragbantu/target-encoding-beginner-s-guide", "kernel_id": "11048707"}, {"ref": "dpyrtfq2372/efficientdet-with-double-psudo-labeling", "kernel_id": "11026064"}, {"ref": "dpyrtfq2372/train-marking-to-pascalvoc", "kernel_id": "11062650"}, {"ref": "aurick/yolov5-train", "kernel_id": "11050901"}, {"ref": "logos78/clouds-segmentation", "kernel_id": "11839406"}, {"ref": "stonewst98/another-version-of-eff", "kernel_id": "11027143"}, {"ref": "stonewst98/what-a-pity-only-0-0001-away-from-0-77", "kernel_id": "11032878"}, {"ref": "harelazim/ensemble-all-model", "kernel_id": "11033542"}, {"ref": "vadimtimakin/mmdetection-train", "kernel_id": "11062652"}, {"ref": "youngsteringabout/fork-of-fasterrcnn-resnet101-tta-inference", "kernel_id": "11019385"}, {"ref": "andreshuang/model-concat-resnest-efficientdet-v11", "kernel_id": "11035543"}, {"ref": "chenzecharya/yolo-tta-ensemble-48e-weights", "kernel_id": "11022529"}, {"ref": "cp1314971/mosaic2", "kernel_id": "11051809"}, {"ref": "yoavnoah/notebookd7702ac875", "kernel_id": "11458906"}, {"ref": "abbyschwartz/wheat-detection-2", "kernel_id": "11236893"}, {"ref": "deepsk03/kernel1d9ebacd5e", "kernel_id": "11036242"}, {"ref": "rishabhthakur07/fork-of-pages-2-0", "kernel_id": "11038439"}, {"ref": "houssad/yolov5-wheat", "kernel_id": "11787662"}, {"ref": "masterroshi/kernel332e439f7a", "kernel_id": "11035296"}, {"ref": "hallymhbms/hbms-keras-01", "kernel_id": "11038560"}, {"ref": "hyeonjookim/heyonjoo-eda", "kernel_id": "11033008"}, {"ref": "hyeonjookim/hyeonjoo-eda2", "kernel_id": "11033051"}, {"ref": "trinityger/fasterrcnn-resnet152-inference", "kernel_id": "11138537"}, {"ref": "trinityger/fasterrcnn-resnet152-training", "kernel_id": "11132606"}, {"ref": "robertotatismuvdi/objlocwheat", "kernel_id": "11468110"}, {"ref": "nickfirsakov/efficientdet-d0-inference", "kernel_id": "11939125"}, {"ref": "nickfirsakov/efficientdet-d0-training", "kernel_id": "11938108"}, {"ref": "davlanigan/frcnn-train-v2", "kernel_id": "12418533"}, {"ref": "pdirita/wheat-dataset-project", "kernel_id": "12808109"}, {"ref": "pdirita/wheat-dataset-inference", "kernel_id": "12946030"}, {"ref": "sonujha090/object-detection-pipeline-yolo", "kernel_id": "12041981"}, {"ref": "volkandl/wheatdet-augmentation-turkce-aciklamali", "kernel_id": "12667213"}, {"ref": "ikaynov/detectron2-wheat-detection", "kernel_id": "12954242"}, {"ref": "davidmagny/efficientdet-pseudo-labeling-tta", "kernel_id": "12014212"}, {"ref": "cuongnn218/traffic-sign-eda", "kernel_id": "12737891"}, {"ref": "starktony45/globalwheatdetection-eda", "kernel_id": "12224431"}, {"ref": "starktony45/notebookbfabe088ff", "kernel_id": "12409360"}, {"ref": "starktony45/pytorch-rcnn", "kernel_id": "12432198"}, {"ref": "viroviro/wheat-detection-using-yolov5", "kernel_id": "12048499"}, {"ref": "feliperoliveira/trigo", "kernel_id": "12400699"}, {"ref": "mashiat/dhaka-ai-detection-efficientdet-training", "kernel_id": "12484372"}, {"ref": "kyoshioka47/example-of-2d-single-scale-tta-with-odach", "kernel_id": "12775676"}, {"ref": "tharhtetsan/tensorflow-resnet50-transfer-learning", "kernel_id": "12301366"}, {"ref": "bauthantekmen/darknet-kernel", "kernel_id": "12478285"}, {"ref": "kaelanlockhart/yolov5works", "kernel_id": "12034973"}, {"ref": "jacobmorin/pytorch-starter-fasterrcnn-train", "kernel_id": "12898268"}, {"ref": "gaborszabolcslaszlo/nkvi-fasterrcnn-train", "kernel_id": "12590279"}, {"ref": "tomchaniii/ai-fasterrcnn-train", "kernel_id": "12318047"}, {"ref": "tomchaniii/ai-fasterrcnn-inference", "kernel_id": "12319360"}, {"ref": "justinshenk/getting-started-with-object-detection-with-pytorch", "kernel_id": "13016383"}, {"ref": "rahulct/test-pytorch", "kernel_id": "13036400"}, {"ref": "handsdirty/detectron-2-compare-models-augmentation", "kernel_id": "13078277"}, {"ref": "ikaynov/detectron2-retinanet-inference", "kernel_id": "13404706"}, {"ref": "nelson870708/inference-efficientdet", "kernel_id": "13555482"}, {"ref": "chia56028/yolov5", "kernel_id": "13396666"}, {"ref": "chia56028/yolov5-stable", "kernel_id": "13826409"}, {"ref": "chia56028/yolov5-pseudo-labeling-a54464", "kernel_id": "13607300"}, {"ref": "chia56028/pytorch-rcnn", "kernel_id": "13467725"}, {"ref": "wangchilung/notebook-wheatharvester-new", "kernel_id": "13503574"}, {"ref": "wangchilung/detectron2-for-global-wheat-detection", "kernel_id": "13670589"}, {"ref": "shayantaherian/global-wheat-detection-inference", "kernel_id": "13414143"}, {"ref": "shayantaherian/global-wheat-detection-v2", "kernel_id": "13428994"}, {"ref": "sanchitvj/global-wheat-detection", "kernel_id": "13536335"}, {"ref": "alincijov/global-wheat-detection-faster-rcnn", "kernel_id": "13313986"}, {"ref": "asharma85/pipeline-setup-kaggle", "kernel_id": "13666332"}, {"ref": "ottiliemitchell/wheat-model", "kernel_id": "13513677"}, {"ref": "ottiliemitchell/wheat-eda", "kernel_id": "13981929"}, {"ref": "ottiliemitchell/upgraded-wheat-model", "kernel_id": "13983883"}, {"ref": "ottiliemitchell/wheat-project", "kernel_id": "13874524"}, {"ref": "kevinlu2240/yolov5-inference", "kernel_id": "13845384"}, {"ref": "kevinlu2240/yolov5-pseudo", "kernel_id": "13835610"}, {"ref": "kevinlu2240/yolo-v4", "kernel_id": "13779162"}, {"ref": "jacobmorin/fasterrcnn-pseudo-labeling", "kernel_id": "13346291"}, {"ref": "fongrongchang/final-project", "kernel_id": "13877125"}, {"ref": "stormdiv/yolov5-pseudo-labeling", "kernel_id": "13445026"}, {"ref": "a871234342/final-project", "kernel_id": "13879890"}, {"ref": "chihchiali/notebook774d79731c", "kernel_id": "13602421"}, {"ref": "tsehaopeng/faster-rcnn-r50-fpn-attention-0010-dcn-albu-2x-bw", "kernel_id": "13726271"}, {"ref": "hamonk/collect-icevision-icevision-fastai", "kernel_id": "14569267"}, {"ref": "bryanb/image-segmentation-u-net", "kernel_id": "14776612"}, {"ref": "kimkyu1515/global-3", "kernel_id": "14539545"}, {"ref": "shemskurtoglu/wheat-tpu-tfkeras-00", "kernel_id": "14421381"}, {"ref": "shemskurtoglu/wheat-train-keras-00", "kernel_id": "14415214"}, {"ref": "chlcksgml/0122-globalwheatdetection-eda", "kernel_id": "14418585"}, {"ref": "tranviethoang/notebook066dfd8b59", "kernel_id": "14684861"}, {"ref": "mostafaibrahim17/detr-vin-2", "kernel_id": "14852362"}, {"ref": "dangnam739/faster-rcnn-global-wheat-detection", "kernel_id": "14637688"}, {"ref": "omrastogi/faster-rcnn-for-wheat-detection", "kernel_id": "14543994"}, {"ref": "sanchitvj/global-wheat-detection-inference", "kernel_id": "14210297"}, {"ref": "chowjiayi/computer-vision-notebook", "kernel_id": "14978652"}, {"ref": "jch9210/detectors-new-sota-based-mmdetection", "kernel_id": "15783541"}, {"ref": "nitindatta/frcnn-test-accuracy", "kernel_id": "15104508"}, {"ref": "nitindatta/frcnn-ensemble", "kernel_id": "15108841"}, {"ref": "rainmaker29/open-source-dates-detection-detr", "kernel_id": "15848083"}, {"ref": "sovitrath/fasterrcnn-mobilenet-v2-train-final-clean-nb", "kernel_id": "15080366"}, {"ref": "hyeonjin6/global-wheat-with-pytorch", "kernel_id": "15105359"}, {"ref": "robertlangdonvinci/global-wheat-detection-pytorch-starter-easy", "kernel_id": "15273547"}, {"ref": "jeongwonkim10516/global-wheat-detection-mixup", "kernel_id": "15373847"}, {"ref": "jeongwonkim10516/global-wheat-detection-efficientdet-cutout", "kernel_id": "15357217"}, {"ref": "gocoding/torchvision-faster-r-cnn-finetuning", "kernel_id": "15251672"}, {"ref": "gocoding/torchvision-faster-r-cnn-inference", "kernel_id": "15274484"}, {"ref": "kag0306/roulette-fasterrcnn-result", "kernel_id": "15941479"}, {"ref": "shemskurtoglu/wheat-summary-report", "kernel_id": "16148948"}, {"ref": "nayuts/creating-mask-from-bbox-with-deepmac", "kernel_id": "16588842"}, {"ref": "espsiyam/yolov5-ensemble-tta-transfer-learning-hpt", "kernel_id": "16175886"}, {"ref": "cooooingme/faster-rcnn-a-gentle-introduction", "kernel_id": "16797646"}, {"ref": "cooooingme/pytorch-starter-fasterrcnn-train", "kernel_id": "16797885"}, {"ref": "badmiton/yolov5-for-new-wheat", "kernel_id": "16912529"}, {"ref": "muhammadhaykal/rcnn-komputasi-cerdas-17-01-53-0057", "kernel_id": "16259722"}, {"ref": "kirichenko17roman/dl-lab-08-simple-detectron2-training", "kernel_id": "17222563"}, {"ref": "yuktabagdi/end-to-end-object-detection-with-transformers-detr", "kernel_id": "17735912"}, {"ref": "teykaihong/gwd-pytorch-fasterrcnn-inference", "kernel_id": "17121828"}, {"ref": "teykaihong/gwd-pytorch-fasterrcnn-training", "kernel_id": "17113524"}, {"ref": "poojadoddannavar/tensorflow-resnet50-transfer-learning", "kernel_id": "17977262"}, {"ref": "mathewtkevin/inference-efficientdet", "kernel_id": "17440852"}, {"ref": "mathewtkevin/training-efficientdet-working", "kernel_id": "17906661"}, {"ref": "kafee651/notebookd898030403", "kernel_id": "18292699"}, {"ref": "sovitrath/visualize-data-new-notebook-1", "kernel_id": "18999867"}, {"ref": "ecthompson99/global-wheat-detection-inference-yolov5", "kernel_id": "18902089"}, {"ref": "ecthompson99/global-wheat-detection-yolov5-practice", "kernel_id": "18864988"}, {"ref": "adnanenasser/maritime-singapore-od-retinanet", "kernel_id": "18278155"}, {"ref": "zanghf163com/cowboy-utils-detection", "kernel_id": "18765616"}, {"ref": "siddharth1100/wheat-head-segmentation", "kernel_id": "18713004"}, {"ref": "sovitrath/fasterrcnn-efficientnet-training", "kernel_id": "19704435"}, {"ref": "sh3v3k/trabajo-final-de-visi-n-artificial", "kernel_id": "19673234"}, {"ref": "arunpratihast/faster-rcnn-global-wheat-detection", "kernel_id": "19162505"}, {"ref": "arunpratihast/yolov5-ensemble-tta-transfer-learning-hpt", "kernel_id": "19361874"}, {"ref": "krishnakafle/faster-rcnn-global-wheat-detection", "kernel_id": "19164710"}, {"ref": "raobaoshi/darknet-gpu-on-kaggle", "kernel_id": "19679660"}, {"ref": "boscoyung/targetran-tf-dataset-example", "kernel_id": "20098599"}, {"ref": "kagglelyy/gwd2020", "kernel_id": "20233389"}, {"ref": "chanpreet07/metricdetails", "kernel_id": "20885593"}, {"ref": "davidanagy/david-nagy-submission", "kernel_id": "20846860"}, {"ref": "anaselmasry/pytorch-starter-fasterrcnn-train", "kernel_id": "20106396"}, {"ref": "nandwalritik/wheat-detection-fast-rcnn", "kernel_id": "21084766"}, {"ref": "aviraljain898/btp-aviral-jain-faster-rcnn", "kernel_id": "21491289"}, {"ref": "tranluatvy/fastrcnn-wheat", "kernel_id": "21712286"}, {"ref": "kryzhikov/rcnn-tg1", "kernel_id": "21802161"}, {"ref": "sheromon/wheat-faster-r-cnn-with-pytorch-lightning", "kernel_id": "22170602"}, {"ref": "julian3833/detr-detection-transformer-train-0-189", "kernel_id": "22794537"}, {"ref": "julian3833/reef-starter-torch-fasterrcnn-train-lb-0-416", "kernel_id": "22222556"}, {"ref": "julian3833/reef-starter-torch-fasterrcnn-infer-lb-0-416", "kernel_id": "22222558"}, {"ref": "julian3833/reef-minimal-eda", "kernel_id": "22222309"}, {"ref": "tanguanquan/detr-airbus-detection-attempt-2", "kernel_id": "22793262"}, {"ref": "aviraljain898/btp-aviral-jain-train-efficientdet", "kernel_id": "22160175"}, {"ref": "skloveyyp/training-efficientdet", "kernel_id": "22334824"}, {"ref": "tranluatvy/new-wheat-preprocess-19-11", "kernel_id": "22129704"}, {"ref": "tranluatvy/wheat-fastercnn-dungnb", "kernel_id": "22421082"}, {"ref": "aengusng/ae-global-wheat-detection", "kernel_id": "22176673"}, {"ref": "julian3833/detr-detection-transformer-infer-0-189", "kernel_id": "23797243"}, {"ref": "joviis/training-efficientdet", "kernel_id": "23970237"}, {"ref": "widhiwinata/object-detection-tensorflow-end-to-end", "kernel_id": "23543752"}, {"ref": "tranluatvy/report-khdlud", "kernel_id": "23600904"}, {"ref": "sunyanhui/inference-efficientdet", "kernel_id": "23368710"}, {"ref": "sohyeonp/pytorch-starter-fasterrcnn-train", "kernel_id": "23357687"}, {"ref": "romainsr/projet-de-dl-lp-detection", "kernel_id": "24108636"}, {"ref": "hotsonhonet/gwd-training-yolo-model", "kernel_id": "24723884"}, {"ref": "karkisa/fast-prototyping-series-object-detection", "kernel_id": "24019666"}, {"ref": "dangvanthuc0209/yolo-global-wheat-detection", "kernel_id": "25472221"}, {"ref": "dangvanthuc0209/detr-end-to-end-detection-with-transformer", "kernel_id": "25503251"}, {"ref": "dangvanthuc0209/centernet", "kernel_id": "25490797"}, {"ref": "jigglediggle1/global-wheat-detection-yolo", "kernel_id": "25536833"}, {"ref": "anushashetty1998/fasterrcnn-using-pytorch-baseline", "kernel_id": "25602901"}, {"ref": "peiweixiao/in-process-augmentations-with-bounding-boxes", "kernel_id": "25588070"}, {"ref": "dunghoang3006/end-to-end-object-detection-with-transformers-detr", "kernel_id": "25425429"}, {"ref": "dunghoang3006/yolo-model", "kernel_id": "25425079"}, {"ref": "dunghoang3006/centernet-starterkit-pytorch", "kernel_id": "25509576"}, {"ref": "serenatetart/efficientdet-training-inference", "kernel_id": "25395146"}, {"ref": "akshaychacharkar/wd-classification", "kernel_id": "25294399"}, {"ref": "zhangshh/v14-mudify", "kernel_id": "25058361"}, {"ref": "iamolivia/pytorch-detr-facemask-detector", "kernel_id": "25219453"}, {"ref": "shivamx008/inference-o-wheatheads", "kernel_id": "27736186"}, {"ref": "karkisa/small-object-detection-using-pytorch-lightning", "kernel_id": "27412777"}, {"ref": "liangyuxin6/global-wheat-detection-pytorch", "kernel_id": "27074509"}, {"ref": "jagdmir/object-detection-with-yolo", "kernel_id": "28957581"}, {"ref": "wasdac/global-wheat-train", "kernel_id": "28772133"}, {"ref": "taufiqtusar/image-segmentation-u-net", "kernel_id": "28984730"}, {"ref": "girish17019/wheat-detection-faster-rcnn-pytorch", "kernel_id": "29838520"}, {"ref": "shaikjasheen/wheat-detection-model-building", "kernel_id": "29867222"}, {"ref": "shaikjasheen/wheat-submission-file-2", "kernel_id": "29936042"}, {"ref": "dingmama/detr-run-on-coco2017", "kernel_id": "29984292"}, {"ref": "rajasreer/pytorch-starter-fasterrcnn-train", "kernel_id": "29645163"}, {"ref": "wasdac/global-wheat-inference", "kernel_id": "29101034"}, {"ref": "joseenriquelopez/global-wheat-detection", "kernel_id": "29446363"}, {"ref": "joseenriquelopez/final-global-wheat", "kernel_id": "29443788"}, {"ref": "ikinglopez/global-wheat", "kernel_id": "29835180"}, {"ref": "chrisxsheng/chris-faster-r-cnn-inference", "kernel_id": "29042805"}, {"ref": "myominhtet/efficientdet", "kernel_id": "30888972"}, {"ref": "lihuashun/detr-innovation-lab", "kernel_id": "30361965"}, {"ref": "dangthuc/centernet-starterkit-pytorch", "kernel_id": "30646154"}, {"ref": "tristina/competition-evaluation-offline-test", "kernel_id": "30372871"}, {"ref": "invhnd/u-net-practice", "kernel_id": "30119816"}, {"ref": "juwonyeo/efficientdet-with-pseduo-labeling", "kernel_id": "31272451"}, {"ref": "juwonyeo/wheat-efficientdet7-pseudo-label", "kernel_id": "31354065"}, {"ref": "ahmedghida/gwd-yolov5", "kernel_id": "31042421"}, {"ref": "rajasreerajamohanan/yolov5-ensemble-tta-transfer-learning-hpt", "kernel_id": "32794343"}, {"ref": "rajasreerajamohanan/wheat-detection-using-yolo-and-opencv", "kernel_id": "32899439"}, {"ref": "kjhfkjn/pytorch-starter-fasterrcnn-train", "kernel_id": "32544022"}, {"ref": "isps737/mmdetection-train-infer-baseline", "kernel_id": "32726453"}, {"ref": "ifenghuang/efficientdet-wheat-detection", "kernel_id": "33097489"}, {"ref": "botbww/soc-train-efficientdet", "kernel_id": "33370283"}, {"ref": "botbww/soc-infer-efficientdet", "kernel_id": "33451710"}, {"ref": "eisgandar/wheat-detection-using-yolo-v5-dl-techniques", "kernel_id": "33156443"}, {"ref": "xcf123xcf/yolov4-wheat", "kernel_id": "33658954"}, {"ref": "ramahumamsyarokha/train-faster-rcnn-using-keras", "kernel_id": "33796230"}, {"ref": "pxtri2156/train-faster-rcnn-using-keras", "kernel_id": "34827159"}, {"ref": "gelgel5633/cv-torch-3-ipynb", "kernel_id": "34545353"}, {"ref": "tasmim/globalwheet-detection-yolov8", "kernel_id": "35666894"}, {"ref": "shnakazawa/object-detection-with-pytorch-and-detr", "kernel_id": "35790335"}, {"ref": "vidhirana10/object-detection-using-faster-rcnn", "kernel_id": "36165156"}, {"ref": "okaforchukwuka/adaptive-abg-inference-efficientdet", "kernel_id": "37649068"}, {"ref": "dhruvabhattacharya/wheatdetection-eda", "kernel_id": "37484962"}, {"ref": "vaibhavpatel11/using-yolov8", "kernel_id": "37212125"}, {"ref": "rimja723/wheatdetection-eda", "kernel_id": "37060727"}, {"ref": "thanapa0164/yolov5-globalwheatv3", "kernel_id": "37290647"}, {"ref": "palitaboonkuea/yolov5-globalwheat", "kernel_id": "37316249"}, {"ref": "palitaboonkuea/yolov5-globalwheatv3", "kernel_id": "37314941"}, {"ref": "palitaboonkuea/global-wheat", "kernel_id": "37105572"}, {"ref": "nofishno/global-wheat-cae", "kernel_id": "38339828"}, {"ref": "botbww/soc-train-detr", "kernel_id": "38494792"}, {"ref": "botbww/soc-train-yolo", "kernel_id": "38434714"}, {"ref": "botbww/soc-infer-wbf", "kernel_id": "38946638"}, {"ref": "botbww/soc-infer-yolo", "kernel_id": "38790700"}, {"ref": "botbww/soc-infer-detr", "kernel_id": "38938678"}, {"ref": "tanzimtak/getting-started-with-object-detection-with-pytorch", "kernel_id": "38587206"}, {"ref": "tanzimtak/object-detection-with-pytorch-lightning", "kernel_id": "38589121"}, {"ref": "gamalahmed32/data-augmentation-tutorial-basic-cutout-mixup", "kernel_id": "38405622"}, {"ref": "mohamedelshihawy/cutmix-task3", "kernel_id": "38202378"}, {"ref": "joewoex/cutout-and-mixup", "kernel_id": "38191331"}, {"ref": "botbww/soc-infer-faster-rcnn", "kernel_id": "39218091"}, {"ref": "botbww/soc-train-faster-rcnn", "kernel_id": "39163626"}, {"ref": "rukaiyahasan/image-segmentation-u-net", "kernel_id": "39445137"}, {"ref": "jeetnakum/ocr-with-efficientnet-and-pytorch", "kernel_id": "39110850"}, {"ref": "jeetnakum/torchvision-faster-r-cnn-finetuning", "kernel_id": "39156676"}, {"ref": "ahmedelashrybdm/wheat-detection-using-yolov8", "kernel_id": "39156739"}, {"ref": "okmldl/object-detection-using-f-rcnn-and-pytorch", "kernel_id": "39384291"}, {"ref": "okmldl/wheat-detection-using-f-rcnn-and-pytorch", "kernel_id": "39384945"}, {"ref": "liuchangsan/global-wheat-detection-fasterrcnn-submission", "kernel_id": "39638042"}, {"ref": "liuchangsan/global-wheat-detection-efficientdet-wbf-tta", "kernel_id": "39638323"}, {"ref": "alphasingal/pix2pix-gan-colorization", "kernel_id": "40184510"}, {"ref": "motono0223/yolov5-train", "kernel_id": "40861022"}, {"ref": "liuchangsan/global-wheat-detection-fasterrcnn-wbf-submission", "kernel_id": "40300540"}, {"ref": "liuchangsan/global-wheat-detection-fasterrcnn-training", "kernel_id": "40368276"}, {"ref": "liuchangsan/global-wheat-detection-efficientdet-wbf-submissi", "kernel_id": "40362135"}, {"ref": "liuchangsan/global-wheat-detection-efficientdet-training", "kernel_id": "40362426"}, {"ref": "zidanealdanifr/centernet-starterkit-pytorch", "kernel_id": "41238557"}, {"ref": "sudhanshu2198/wheat-head-detection-using-faster-rcnn-pytorch", "kernel_id": "41293184"}, {"ref": "eyamallat/getting-started-with-yolov5", "kernel_id": "41671389"}, {"ref": "ananyasdhar/yolov5-ensemble-tta-transfer-learning-hpt", "kernel_id": "41259708"}, {"ref": "sdfgsgsdfdfg/train-for-gwd-efficientdet", "kernel_id": "41656163"}, {"ref": "sdfgsgsdfdfg/wheat-data", "kernel_id": "41650072"}, {"ref": "emanelrify/global-weight-detection", "kernel_id": "42732489"}, {"ref": "sky0701/fasterrcnn-train-kr", "kernel_id": "42929910"}, {"ref": "yassin01/fine-tuning-fasterrcnn-pytorch", "kernel_id": "42313037"}, {"ref": "sankalpaadhikari/wheat-detection-using-yolov8", "kernel_id": "42222123"}, {"ref": "asemsaber/global-wheat-detection", "kernel_id": "42585933"}, {"ref": "zabihullah18/global-countries-eda", "kernel_id": "42146995"}, {"ref": "mehmetkaygusuz/pytorch-starter-fasterrcnn-train", "kernel_id": "43409839"}, {"ref": "kuiper07/dugme-fasterrcnn", "kernel_id": "43487268"}, {"ref": "sdekker/global-wheat-detection-using-yolov7", "kernel_id": "44226960"}, {"ref": "mohamadatif/kaggle-faster-rcnn-gp-ipynb", "kernel_id": "44236645"}, {"ref": "sabareesanarjunasamy/object-detection-using-faster-rcnn", "kernel_id": "44899924"}, {"ref": "uestcwxh/aichallenge-group-1-wheat-detection", "kernel_id": "44214484"}, {"ref": "bobwang114514/yolov8-test", "kernel_id": "44225787"}, {"ref": "jackwens/pseudo-ensemble-detectors-3-st-universenet-r10", "kernel_id": "44291613"}, {"ref": "jackwens/insect-augmentation-with-efficientdet-d6", "kernel_id": "44288702"}, {"ref": "quellaxihe/notebook1965b97ab0", "kernel_id": "44286007"}, {"ref": "haomingpengreverie/pytorch-starter-fasterrcnn-inference", "kernel_id": "45680129"}, {"ref": "haomingpengreverie/pytorch-starter-fasterrcnn-train-4fa85c", "kernel_id": "45680135"}, {"ref": "bobwang114514/pytorch-starter-fasterrcnn-train", "kernel_id": "45668258"}, {"ref": "pcyaho/yolov5-global-wheat-detection", "kernel_id": "45425211"}, {"ref": "wangchiachi/yolov8-training-inference", "kernel_id": "46460386"}, {"ref": "wangchiachi/wheat-detection-using-yolov8", "kernel_id": "46461144"}, {"ref": "sunhxuan/yolov5-pseudo-labeling", "kernel_id": "46454590"}, {"ref": "wenchihuang/gwdyolov8", "kernel_id": "46460863"}, {"ref": "hsiang0913/yolov5-global-wheat-detection", "kernel_id": "46460554"}, {"ref": "reemhesham21/using-yolov5", "kernel_id": "47895196"}, {"ref": "sameerranjan2206/image-segmentation-u-net", "kernel_id": "47035391"}, {"ref": "okaforchukwukas/training-global-wheat-detection-model", "kernel_id": "47434557"}, {"ref": "abdellahaitelouli/pytorch-starter-fasterrcnn-train", "kernel_id": "48236690"}, {"ref": "ericblacba/object-detection-tensorflow-end-to-end", "kernel_id": "48028638"}, {"ref": "keyongkk/chapter7-efficientnet", "kernel_id": "48161924"}, {"ref": "keyongkk/chapter7-expend", "kernel_id": "48164081"}, {"ref": "keyongkk/yolov4-chapter7", "kernel_id": "48947514"}, {"ref": "ismailehab/yolov8-wheat-detection", "kernel_id": "48825634"}, {"ref": "joselynmoncayo/object-detection-tensorflow-end-to-end", "kernel_id": "48801938"}, {"ref": "yudalee/flickr-training", "kernel_id": "49684993"}, {"ref": "mouneshpatil/creating-mask-from-bbox-with-deepmac", "kernel_id": "49556405"}, {"ref": "sayedsajadgholami/efficientdet-meets-pytorch-lightning", "kernel_id": "49840858"}, {"ref": "raqhea/global-wheat-detection-torchvision", "kernel_id": "50545134"}, {"ref": "oslijw/fasterrcnn-pseudo-labeling", "kernel_id": "50214858"}, {"ref": "hansencahyadi/test-data", "kernel_id": "50014889"}, {"ref": "mehmetkaangenc/faster-rcnn", "kernel_id": "50857490"}, {"ref": "shreyasrao114/faster-rcnn", "kernel_id": "51452326"}, {"ref": "selcukcan/dl-6-3-image-segmentation-using-u-net", "kernel_id": "52044329"}, {"ref": "bhaveshmittal/optimizing-wheat-detection-yolov8-insights", "kernel_id": "52423199"}, {"ref": "dhyaneshwar/object-detection", "kernel_id": "53469048"}, {"ref": "sheep00/yolov5-global-wheat-detection0", "kernel_id": "54604333"}, {"ref": "sheep00/yolov5-pseudo-labeling1", "kernel_id": "54612932"}, {"ref": "nguyenhuong309/data-augmentation-for-object-detection", "kernel_id": "55702467"}, {"ref": "yxccccc/detr-fusion-baseline", "kernel_id": "55616221"}, {"ref": "gameruiner/yolov8", "kernel_id": "55544151"}, {"ref": "rafak321/ki-data-analytics-abschlussprojekt-gwd", "kernel_id": "56412385"}, {"ref": "yossefmohammed/wheat-detection-faster-rcnn-resnet50", "kernel_id": "56921330"}, {"ref": "nguynhngcnh1/data-augmentation-for-sinonom-detection", "kernel_id": "56512411"}, {"ref": "uyenlex/data-augmentation-for-object-detection", "kernel_id": "56563987"}, {"ref": "ducanhoang/data-augmentation-for-object-detection-50bec4", "kernel_id": "56588472"}, {"ref": "rashidrk/global-wheat-detection-retinanet-pytorch", "kernel_id": "57870511"}, {"ref": "tomjavok/pytorch-implementation-of-faster-r-cnn", "kernel_id": "57049735"}, {"ref": "ishlove7/how-to-make-coco-dataset", "kernel_id": "57401501"}, {"ref": "ishlove7/mm-detection-faster-rcnn-train", "kernel_id": "57405235"}, {"ref": "ishlove7/mm-detection-inference-wbf", "kernel_id": "57432130"}, {"ref": "ishlove7/mm-detection-resnext-101-cascadercnn-training", "kernel_id": "57511228"}, {"ref": "ishlove7/mm-detection-convnext-cascadercnn-train", "kernel_id": "57539812"}, {"ref": "rafak321/ki-data-analytics-abschlussprojekt", "kernel_id": "58455221"}, {"ref": "wanglikeyuyu/notebookd2df34cd12", "kernel_id": "58773454"}, {"ref": "jihaadariefpangestu/faster-rcnn-resnet50", "kernel_id": "59782431"}, {"ref": "quntrnhongng/training-faster-rcnn-with-lightning", "kernel_id": "59875817"}, {"ref": "petrcher/object-detection-using-pytorch-training-2d1a19", "kernel_id": "60861887"}, {"ref": "ranjan2215d/global-wheat-detection", "kernel_id": "60059735"}, {"ref": "abhiramkamini/image-segmentation-u-net", "kernel_id": "61499977"}, {"ref": "quntrnhongng/inference-faster-rcnn-wbf", "kernel_id": "61351268"}, {"ref": "heliprajapati/fasterrcnn-wheat-detection", "kernel_id": "61931293"}, {"ref": "abhisheksriwastav/global-wheat-detection", "kernel_id": "64269038"}, {"ref": "yinonbenshaul/good-notebook-brother", "kernel_id": "64225611"}, {"ref": "yinonbenshaul/this-is-the-best-notebook", "kernel_id": "64302445"}, {"ref": "charlessnead/object-detection-tensorflow-end-to-end", "kernel_id": "64449089"}, {"ref": "jeevakrishnan/wheat-data", "kernel_id": "65035522"}, {"ref": "azanasif/mask-r-cnn-4-class", "kernel_id": "65566669"}, {"ref": "ranjithts/wheat-detection-frcnn-resnet50fpn-with-pytorch", "kernel_id": "65353187"}, {"ref": "rikeshshah/wheatdetectionusingfaster-rcnn-and-resnet50", "kernel_id": "66591378"}, {"ref": "passionfruit216/ultralytics-yolov8s-wbf-tta-plabel", "kernel_id": "66822429"}, {"ref": "mfareedijaz/end2end-object-detection-with-fasterrcnn", "kernel_id": "67852381"}, {"ref": "yangfan11/global-wheat-detection", "kernel_id": "69045700"}, {"ref": "playatanu/global-wheat-detection-faster-r-cnn-pytorch", "kernel_id": "69566604"}, {"ref": "natthachaduangkaew/wheat-detection", "kernel_id": "69250703"}, {"ref": "natthachaduangkaew/model-4-without-optuna", "kernel_id": "69429806"}, {"ref": "tororip/notebookdd090ed7d0", "kernel_id": "69341876"}, {"ref": "ifraejaz/fork-of-wheat-detection-using-yolo-v5", "kernel_id": "71166240"}, {"ref": "ifraejaz/faster-cnn-and-ssd", "kernel_id": "71161063"}, {"ref": "ifraejaz/wheat-detection-using-yolo-v5", "kernel_id": "71157602"}, {"ref": "zyh1104/024-global-wheat-detection", "kernel_id": "71512286"}, {"ref": "nawalokourdr/cleaning-and-preprocessing-train-csv", "kernel_id": "71435583"}, {"ref": "alexandrrazin/training-efficientdet", "kernel_id": "72862223"}, {"ref": "mattspotify2023/gwd-object-detection", "kernel_id": "72284658"}, {"ref": "noobwowoooooo/gwd-pseudo-labeling", "kernel_id": "72395267"}, {"ref": "noobwowoooooo/gwd-prediction-tta-map", "kernel_id": "72403980"}, {"ref": "noobwowoooooo/gwd-prediction-map", "kernel_id": "72405496"}, {"ref": "noobwowoooooo/gwd-efficientdet-adamw", "kernel_id": "72325988"}, {"ref": "noobwowoooooo/gwd-compute-map-46d936", "kernel_id": "72464526"}, {"ref": "noobwowoooooo/gwd-compute-map", "kernel_id": "72462320"}, {"ref": "noobwowoooooo/gwd-efficientdet-data-cleaning-augmentation", "kernel_id": "72212326"}, {"ref": "wuhugugu/wheat-infer-faster-rcnn", "kernel_id": "72894937"}, {"ref": "linheshen/make-coco-data", "kernel_id": "72472520"}, {"ref": "linheshen/mmcv-use", "kernel_id": "72445256"}, {"ref": "jiqiangdong/gwd-efficientdet-adamw", "kernel_id": "72325635"}, {"ref": "jiqiangdong/gwd-pseudo-labeling", "kernel_id": "72395839"}, {"ref": "jiqiangdong/gwd-pseudo-labeling-674aeb", "kernel_id": "72444869"}, {"ref": "jiqiangdong/gwd-compute-map-b4ea64", "kernel_id": "72464686"}, {"ref": "jiqiangdong/gwd-compute-map", "kernel_id": "72462433"}, {"ref": "jiqiangdong/gwd-prediction-tta-map-ea2fc4", "kernel_id": "72448359"}, {"ref": "jiqiangd/gwd-compute-map", "kernel_id": "72462489"}, {"ref": "jiqiangd/gwd-compute-map-d174ec", "kernel_id": "72464705"}, {"ref": "jiqiangd/gwd-pseudo-labeling", "kernel_id": "72395595"}, {"ref": "jiqiangd/gwd-efficientdet-adamw", "kernel_id": "72326057"}, {"ref": "noobwowooo/gwd-efficientdet-adamw", "kernel_id": "72326486"}, {"ref": "noobwowooo/gwd-pseudo-labeling", "kernel_id": "72395376"}, {"ref": "noobwowooo/gwd-compute-map-6d7172", "kernel_id": "72464536"}, {"ref": "noobwowooo/gwd-compute-map", "kernel_id": "72462460"}, {"ref": "lincondash/object-detection-using-cnn-yolo", "kernel_id": "73379206"}, {"ref": "mohamedamine02/faster-rcnn-resnet50", "kernel_id": "73783656"}, {"ref": "docmhvr/end-to-end-object-detection-with-transformers-detr", "kernel_id": "73619881"}, {"ref": "mennaelsayed1/wheat-detection-faster-rcnn-resnet50", "kernel_id": "73215317"}, {"ref": "salmazairi/theme-2-fasterrcnn", "kernel_id": "73864754"}, {"ref": "ponysun/yolo11", "kernel_id": "73313751"}, {"ref": "hasnainkhan0123/global-wheat-detection-pytorch", "kernel_id": "74407567"}, {"ref": "ahmedzidan882/wheat-detection-yolov8n", "kernel_id": "75339208"}, {"ref": "dingggggg/wheat-detection-frcnn", "kernel_id": "76292509"}, {"ref": "anaselhaag/yolov12wheat", "kernel_id": "77343302"}, {"ref": "microt/notebook188ab5f3cc", "kernel_id": "78443399"}, {"ref": "rabieouerghi1996/end-to-end-object-detection-with-transforme-0b796f", "kernel_id": "78564104"}, {"ref": "rabieouerghi1996/infer-deter-folds-0-1-2-3-4", "kernel_id": "78876693"}, {"ref": "rollartest01/end-to-end-object-detection-with-transformers-detr", "kernel_id": "78504138"}, {"ref": "rollartest01/fasterrcnn-resnet-training", "kernel_id": "78876260"}, {"ref": "rollartest01/infer-deter-folds-0-1-2-3-4", "kernel_id": "78732164"}, {"ref": "osama12bin/notebook278db8d072", "kernel_id": "78639323"}, {"ref": "rabieouerghicabiste/end-to-end-object-detection-with-transformers-detr", "kernel_id": "78191348"}, {"ref": "rabieouerghicabiste/end-to-end-object-detection-with-transforme-0b796f", "kernel_id": "78643112"}, {"ref": "yashdhakade/global-wheat-detection-by-yash-dhakade", "kernel_id": "79396195"}, {"ref": "duplexmayer/object-detection-using-pytorch-training", "kernel_id": "79584445"}, {"ref": "microt/wheat-eda", "kernel_id": "79501640"}, {"ref": "rabieouerghi1996/fasterrcnn-resnet50-training", "kernel_id": "79029006"}, {"ref": "osama12bin/notebook1391396fc3", "kernel_id": "79198261"}, {"ref": "osama12bin/notebook68d599cd3c", "kernel_id": "79205205"}, {"ref": "anaselhaag/notebook0a915b4dd3", "kernel_id": "80315102"}, {"ref": "htrnnhnguynde180372/u-net-bee-varroa", "kernel_id": "80402452"}, {"ref": "audriksingh/effdet", "kernel_id": "81436019"}, {"ref": "arkh01/training-efficientdet", "kernel_id": "81175120"}, {"ref": "dcongtinh/vrdl-ieee-gwd2020", "kernel_id": "82860862"}, {"ref": "jorgetyrakowski/yolov11x-gwhd2021", "kernel_id": "82928420"}, {"ref": "jorgetyrakowski/firsttry", "kernel_id": "82820203"}, {"ref": "minhthaophannguyen/vrdl-ieee-2025", "kernel_id": "83213669"}, {"ref": "tommykang/global-wheat-detection-yolov11n-train", "kernel_id": "83602072"}, {"ref": "tommykang/global-wheat-detection-faster-rcnn-inference", "kernel_id": "83591902"}, {"ref": "tommykang/pytorch-starter-fasterrcnn-train", "kernel_id": "83584509"}, {"ref": "tommykang/global-wheat-detection-wbf", "kernel_id": "83639714"}, {"ref": "tommykang/global-wheat-detection-yolov11n-inference", "kernel_id": "83603791"}, {"ref": "larrychen1120/yolov8x-submission", "kernel_id": "83225770"}, {"ref": "menghuayuan/global-wheat-detection", "kernel_id": "83373485"}, {"ref": "tymofiivoitekh/yolov5-pseudo-labeling1", "kernel_id": "83215346"}, {"ref": "binghualiu/yolov5-pseudo-labeling1", "kernel_id": "83632122"}, {"ref": "pak0vskiy/wheat-detection", "kernel_id": "85971468"}, {"ref": "aravindgopisetty/training-efficientdet-8f625a", "kernel_id": "86973150"}, {"ref": "syantiprasetyani/training-efficientdet", "kernel_id": "87463447"}, {"ref": "zsss666/yolov11", "kernel_id": "87548384"}, {"ref": "artemcheremuhin/automodelobjectdetection", "kernel_id": "89737608"}, {"ref": "radeveljic/image-segmentation-u-net-rade", "kernel_id": "90357369"}, {"ref": "elkhawaga/global-wheat-detection-object-detection", "kernel_id": "91097450"}, {"ref": "mrifatrashid/gwd-dino-yolov12s", "kernel_id": "92975977"}, {"ref": "ahmedhasan110/faster-rcnn-yolo", "kernel_id": "92179570"}, {"ref": "sandeeprace/global-wheat-detection-assignment1", "kernel_id": "92647499"}, {"ref": "mah20050/model-check-wheat-with-pytorch", "kernel_id": "93679191"}, {"ref": "amirmohamadaskari/wheat-detection-yolov8-fine-tuning", "kernel_id": "94622490"}, {"ref": "amirmohamadaskari/wheat-detection-loading-yolov8-inference-with-tta", "kernel_id": "98746926"}, {"ref": "chinabrahma/sod-fasterrcnn-initmodel1", "kernel_id": "100756544"}, {"ref": "pushpakbhoge/global-wheat-detection-sam3-benchmark", "kernel_id": "102888611"}, {"ref": "pushpakbhoge/global-wheat-detection-yolo11-benchmark", "kernel_id": "102933330"}, {"ref": "pushpakbhoge/global-wheat-detection-yolov11-training", "kernel_id": "102861451"}, {"ref": "nhnguyncng/wheat-classification", "kernel_id": "102080600"}, {"ref": "kristiko/notebook4dccf4c150", "kernel_id": "102993328"}, {"ref": "nks36779299/notebook35cf55bc5d", "kernel_id": "102429343"}, {"ref": "nks36779299/notebook24cd4f501c", "kernel_id": "102708252"}, {"ref": "jhilbert/dl-2025f-ex04-faster-r-cnn-object-detection", "kernel_id": "103392889"}, {"ref": "wangruoyang06/23-1-202305755260-ex04", "kernel_id": "103423899"}, {"ref": "xueyingfei/23-2-202305755312-ex04", "kernel_id": "103427503"}, {"ref": "chen29269/2023-2-202305755350-12-5ex04", "kernel_id": "103424024"}, {"ref": "cocki7e/dl-2025f-ex04-202305755356-23-2", "kernel_id": "103423827"}, {"ref": "jiatenghan/202305755210-1-4", "kernel_id": "103425892"}, {"ref": "chouxiaozhuang/202305755276dl-ex04", "kernel_id": "103424077"}, {"ref": "kakakannn/2023-1-202305820648-ex04", "kernel_id": "103423379"}, {"ref": "z13134211968/ex04-202305755206", "kernel_id": "103423913"}, {"ref": "wangzehhh/202305755238-3", "kernel_id": "103428080"}, {"ref": "whjishahjsmbj/1-202305755280", "kernel_id": "104260623"}, {"ref": "ruhul20/wheat-object-detection-yolo11", "kernel_id": "105278768"}, {"ref": "ruhul20/wheat-detection-faster-rcnn-resnet50-pytorch", "kernel_id": "105284215"}, {"ref": "gadityaramesh/end-to-end-object-detection-with-transformers-detr", "kernel_id": "106066364"}, {"ref": "ham3llton/classification-on-wheat-w-simple-cnn", "kernel_id": "108813600"}, {"ref": "rahmandcc/computer-vision", "kernel_id": "108904592"}, {"ref": "ham3llton/rembg-zero-shot-simple-cnn-testing", "kernel_id": "109385333"}, {"ref": "vaaven/global-wheat-homework-hypothesis-1", "kernel_id": "111572718"}, {"ref": "mdeconozzamanecon/notebook83eb5351e1", "kernel_id": "112740333"}, {"ref": "alexanderkireev/08-ml-trainings-cv", "kernel_id": "113671238"}, {"ref": "thierryneusius/global-wheat-detection-ultralytics-yolov8", "kernel_id": "113887090"}, {"ref": "devvrat1601/gwd-dino-yolov12s", "kernel_id": "114860758"}, {"ref": "shiluh/notebook2f88429636", "kernel_id": "115348685"}, {"ref": "phuongtheson/yolo26-object-detection", "kernel_id": "116158038"}, {"ref": "seoneun/global-wheat-1", "kernel_id": "117238717"}, {"ref": "lmaobruh2238/notebook8e43ca3b63", "kernel_id": "117945951"}, {"ref": "huonggiang538/notebook9f70b8c689", "kernel_id": "127624146"}, {"ref": "setsunaofficial/global-wheat-yolo11s-3fold-inference", "kernel_id": "128013309"}, {"ref": "abhishekjumale/global-wheat-detection", "kernel_id": "129372028"}, {"ref": "sriramlingavel01/u-net-deeplab", "kernel_id": "130622171"}, {"ref": "beijietransient/global-detection", "kernel_id": "132671361"}, {"ref": "cfdvwi/training-efficientdet", "kernel_id": "134457616"}, {"ref": "pavlozelinskiy/global-wheat-detection-submit-v1", "kernel_id": "135791890"}, {"ref": "pavlozelinskiy/global-wheat-detection-train-v1", "kernel_id": "135799741"}, {"ref": "giaminhh/notebook3f2c05f1f6", "kernel_id": "135975989"}]}
{"competition_id": "19990", "kernels": [{"ref": "n3n77i/subii", "kernel_id": "11980556"}, {"ref": "n3n77i/datafunc", "kernel_id": "11928998"}, {"ref": "n3n77i/lanegraph", "kernel_id": "11910226"}, {"ref": "n3n77i/motion", "kernel_id": "11698774"}, {"ref": "n3n77i/lyft-sub", "kernel_id": "11776893"}, {"ref": "n3n77i/coord", "kernel_id": "11849036"}, {"ref": "n3n77i/n3l5-a", "kernel_id": "11547180"}, {"ref": "n3n77i/semdata", "kernel_id": "11643461"}, {"ref": "n3n77i/lyft-init", "kernel_id": "11412096"}, {"ref": "t3nyks/lyft-working-with-map-api", "kernel_id": "11373228"}, {"ref": "fnands/the-most-basic-of-baselines", "kernel_id": "11517805"}, {"ref": "lao777/fast-submission-valid-for-public-private-lb", "kernel_id": "11887522"}, {"ref": "lexplua/timestamps-in-lyft-dataset", "kernel_id": "11629657"}, {"ref": "corochann/lyft-training-with-multi-mode-confidence", "kernel_id": "11568377"}, {"ref": "corochann/lyft-prediction-with-multi-mode-confidence", "kernel_id": "11570632"}, {"ref": "corochann/save-your-time-submit-without-kernel-inference", "kernel_id": "11409960"}, {"ref": "corochann/lyft-comprehensive-guide-to-start-competition", "kernel_id": "11375230"}, {"ref": "corochann/lyft-deep-into-the-l5kit-library", "kernel_id": "11429128"}, {"ref": "corochann/lyft-pytorch-implementation-of-evaluation-metric", "kernel_id": "11455117"}, {"ref": "paulorzp/sort-multi-mode-submission-by-confidence", "kernel_id": "11601522"}, {"ref": "paulorzp/multi-mode-models-ensemble", "kernel_id": "11421398"}, {"ref": "paulorzp/downloading-l5kit", "kernel_id": "11372276"}, {"ref": "paulorzp/installing-l5kit-offline", "kernel_id": "11372828"}, {"ref": "arkaung/baseline-model-with-resnet50", "kernel_id": "11359657"}, {"ref": "gpreda/lyft-first-data-exploration", "kernel_id": "11373733"}, {"ref": "shams1/eda-lyft5-visualisations", "kernel_id": "11362407"}, {"ref": "pestipeti/pytorch-baseline-inference", "kernel_id": "11357567"}, {"ref": "pestipeti/sample-submissions", "kernel_id": "11356823"}, {"ref": "pestipeti/lyft-l5kit-unofficial-fix", "kernel_id": "11369132"}, {"ref": "pestipeti/pytorch-baseline-train", "kernel_id": "11366299"}, {"ref": "ryches/lyft-constant-velocity-extrapolation-baseline", "kernel_id": "11407164"}, {"ref": "ryches/what-can-a-cnn-do", "kernel_id": "11945550"}, {"ref": "ryches/memory-leak", "kernel_id": "11680146"}, {"ref": "etareduce/download-l5kit-1-1-0-with-pytorch-lightning-1-0-2", "kernel_id": "11686023"}, {"ref": "etareduce/environment-setup-with-torch-1-6-l5kit-1-1-0-gpu", "kernel_id": "11709204"}, {"ref": "shaitender/lyft-eda-visualization-starter", "kernel_id": "11363971"}, {"ref": "rhtsingh/lyft-gpu-inference-torch-baseline", "kernel_id": "11417949"}, {"ref": "rhtsingh/gpu-training-lyft-torch-baseline", "kernel_id": "11380078"}, {"ref": "kneroma/inference-motion-prediction-with-pointnet", "kernel_id": "11767220"}, {"ref": "kneroma/training-motion-prediction-with-pointnet", "kernel_id": "11780769"}, {"ref": "kneroma/combining-lyft-multimode-models", "kernel_id": "11657245"}, {"ref": "kneroma/simple-nn-on-lyft-tabular-data-with-custom-loss", "kernel_id": "11545134"}, {"ref": "kneroma/zarr-files-and-l5kit-data-for-dummies", "kernel_id": "11387121"}, {"ref": "kneroma/lgbm-on-lyft-tabular-data-inference", "kernel_id": "11440666"}, {"ref": "kneroma/lgbm-on-lyft-tabular-data-training", "kernel_id": "11453580"}, {"ref": "huanvo/lyft-complete-train-and-prediction-pipeline", "kernel_id": "11813671"}, {"ref": "hirune924/just-a-port-of-l5kit-example", "kernel_id": "11362430"}, {"ref": "nmygle/pytorch3d-rendering", "kernel_id": "11850381"}, {"ref": "srii96/lyft-eda-and-data-understanding", "kernel_id": "11373566"}, {"ref": "jmaslek/keras-resnet50-with-prediction-and-some-validation", "kernel_id": "11385792"}, {"ref": "gyfastas/ensembling-into-one-prediction", "kernel_id": "11530504"}, {"ref": "kaushal2896/lyft-training-specific-data-exploration", "kernel_id": "11430193"}, {"ref": "zzy990106/pyplot", "kernel_id": "11434343"}, {"ref": "minhtam/lyft-eda-pytorch-baseline-multi-mode-train-eval", "kernel_id": "11798635"}, {"ref": "ryanholbrook/writing-lyft-tfrecords", "kernel_id": "11399481"}, {"ref": "ryanholbrook/loading-the-lyft-tfrecords", "kernel_id": "11382772"}, {"ref": "akashsuper2000/multi-mode-models-ensemble", "kernel_id": "11457486"}, {"ref": "kool777/lyft-level5-eda-training-inference", "kernel_id": "11364244"}, {"ref": "kool777/ultimate-google-colab-training-batch-size-64", "kernel_id": "11671363"}, {"ref": "swarajshinde/lyft-l5-basic-eda-and-map-insights", "kernel_id": "11378521"}, {"ref": "zaharch/kalman-filter-baseline", "kernel_id": "11526094"}, {"ref": "ilu000/lyft-multi-mode-448px-inference", "kernel_id": "11898335"}, {"ref": "ilu000/expected-error-inaccuracy-from-rasterization", "kernel_id": "11942089"}, {"ref": "jpbremer/lyft-scene-visualisations", "kernel_id": "11357627"}, {"ref": "jpbremer/training-pytorch-lyft", "kernel_id": "11365617"}, {"ref": "leoisleo1/multi-mode-models-ensemble-0e6557", "kernel_id": "11455362"}, {"ref": "sovitrath/lyft-motion-prediction-eda", "kernel_id": "11368266"}, {"ref": "taboutmhamed/lift-visualiser-trajectoire-v-hicule-autonome", "kernel_id": "11448659"}, {"ref": "behrouzbo/notebook4ddce60136", "kernel_id": "11678355"}, {"ref": "rajaraman6195/moving-object-detection", "kernel_id": "11798440"}, {"ref": "thomasbrandon/improve-l5kit-rasterizer-performance", "kernel_id": "11556830"}, {"ref": "thomasbrandon/l5kit-chopped-dataset", "kernel_id": "11484183"}, {"ref": "vineeth1999/lyft-motion-prediction-eda", "kernel_id": "11492043"}, {"ref": "dky7376/lyft-basic-eda-understanding-zarr-file-format", "kernel_id": "11363136"}, {"ref": "arnimen5/lyft-eda-and-visualisations", "kernel_id": "11358062"}, {"ref": "forwet/tpus-never-die", "kernel_id": "11759289"}, {"ref": "forwet/lyft-understanding-the-complete-scenerio", "kernel_id": "11510841"}, {"ref": "forwet/lyft-efficientnet-model-train", "kernel_id": "11592496"}, {"ref": "forwet/lyft-ensemble-and-submission", "kernel_id": "11486482"}, {"ref": "piantic/lyft-motion-prediction-basic-eda", "kernel_id": "11371145"}, {"ref": "salmaneunus/autonomous-vehicles-eda", "kernel_id": "11372418"}, {"ref": "khushalbr/lyft-inference-mobilenetv2-lstm", "kernel_id": "11600425"}, {"ref": "khushalbr/lyft-inference-mobilenetv2", "kernel_id": "11443020"}, {"ref": "khushalbr/lyft-validation", "kernel_id": "11436328"}, {"ref": "khushalbr/lyft-training-mobilenetv2", "kernel_id": "11438529"}, {"ref": "doanquanvietnamca/tpu-resnet50-faster-and-better", "kernel_id": "11400983"}, {"ref": "doanquanvietnamca/tpu-resnet50-faster-better", "kernel_id": "11914770"}, {"ref": "omareltouny/lyft-eda", "kernel_id": "11730497"}, {"ref": "satnam007/lyft-basic-eda", "kernel_id": "11360945"}, {"ref": "srivatsamallapragada/sharing-test-notebook", "kernel_id": "11600665"}, {"ref": "anzhemeng/basic-eda", "kernel_id": "11814905"}, {"ref": "mclikmb4/lyft-pytorch-efficientnet-b0-tpu", "kernel_id": "11600245"}, {"ref": "nxrprime/understanding-the-data-catalyst-kekas-baseline", "kernel_id": "11359393"}, {"ref": "tuckerarrants/lyft-eda-training", "kernel_id": "11373269"}, {"ref": "tuckerarrants/lyft-inference-resnet18", "kernel_id": "11440379"}, {"ref": "tuckerarrants/lyft-ensembling-raster-sizes", "kernel_id": "11454322"}, {"ref": "gamebo11/lyft-basic-visualizations", "kernel_id": "11369887"}, {"ref": "parthp94/lyft-test", "kernel_id": "11758383"}, {"ref": "otonyeamietubodie/lyft-motion-prediction", "kernel_id": "11392624"}, {"ref": "shayantaherian/lyft-pytorch-implementation", "kernel_id": "11994793"}, {"ref": "furuhatakazuki/japanese-lyft-introduction", "kernel_id": "11556144"}, {"ref": "furuhatakazuki/japanese-lyft-basic-eda", "kernel_id": "11546921"}, {"ref": "ssaisuryateja/combining-lyft-multimode-models", "kernel_id": "11682322"}, {"ref": "lucabergamini/lyft-baseline-09-02", "kernel_id": "11501084"}, {"ref": "ephell/lyft-basics-fetch-the-data-visualize-it", "kernel_id": "11362780"}, {"ref": "devit93/lyft-understanding-the-data-catalyst-baseline", "kernel_id": "11911711"}, {"ref": "gaborfodor/train-valid-test-split", "kernel_id": "12157122"}, {"ref": "n3n77i/recon-err", "kernel_id": "12119738"}, {"ref": "n3n77i/distance-checks", "kernel_id": "12022816"}, {"ref": "n3n77i/centpred", "kernel_id": "12054223"}, {"ref": "n3n77i/curve-err", "kernel_id": "12219503"}, {"ref": "n3n77i/qtree", "kernel_id": "12428155"}, {"ref": "fnands/makesubmasks", "kernel_id": "12010912"}, {"ref": "shanyaanand/notebook2323f8e188", "kernel_id": "12046419"}, {"ref": "shanyaanand/conv-attn-lstm", "kernel_id": "12204091"}, {"ref": "pestipeti/custom-c-and-cuda-extensions-with-pytorch", "kernel_id": "12492868"}, {"ref": "pestipeti/lyft-zarr-cache-data-sampler-benchmark", "kernel_id": "12980492"}, {"ref": "louis925/l5kit-dataloader-memory-usage", "kernel_id": "12543638"}, {"ref": "louis925/l5kit-dataloader-memory-usage-w-o-loader-cache", "kernel_id": "12544548"}, {"ref": "louis925/lyft-submission-visualization", "kernel_id": "12721491"}, {"ref": "louis925/quick-analysis-on-feature-and-target-distributions", "kernel_id": "12633292"}, {"ref": "louis925/constant-prediction-baseline", "kernel_id": "12634309"}, {"ref": "louis925/lyft-simple-scene-visualization", "kernel_id": "12251028"}, {"ref": "louis925/lyft-complete-train-and-prediction-pipeline", "kernel_id": "12314635"}, {"ref": "damvantai/pytorch-baseline-train-9870f9", "kernel_id": "12213069"}, {"ref": "etareduce/lyft-av-pytorch-resnet-baseline-with-l5kit-1-1-0", "kernel_id": "12089683"}, {"ref": "etareduce/lyft-av-py-lightning-resnet-training-baseline", "kernel_id": "12149714"}, {"ref": "etareduce/lyft-av-py-lightning-resnet-eval-baseline", "kernel_id": "12153116"}, {"ref": "etareduce/lyft-multi-agent-dataset-neighboring-by-distance", "kernel_id": "12216625"}, {"ref": "zhangyue199/pytorch-resnet50-inference", "kernel_id": "12142215"}, {"ref": "zhangyue199/pytorch-resnet50-starter", "kernel_id": "12102014"}, {"ref": "sharmayush/lyft-submission1", "kernel_id": "12432243"}, {"ref": "akshatpathak/lyft-dataset-exploration", "kernel_id": "12025234"}, {"ref": "kneroma/lyft-track-id-does-not-matter", "kernel_id": "12737142"}, {"ref": "lezwon/lyft-notebook", "kernel_id": "12196488"}, {"ref": "arpitrf/understanding-agent-and-ego-dataset", "kernel_id": "12587088"}, {"ref": "akashsuper2000/lyft-complete-train-and-prediction-pipeline", "kernel_id": "12280835"}, {"ref": "akashsuper2000/combining-lyft-multimode-models", "kernel_id": "12001365"}, {"ref": "akashsuper2000/lyft-prediction-with-multi-mode-confidence", "kernel_id": "12001416"}, {"ref": "akashsuper2000/lyft-submission-kernel", "kernel_id": "12970719"}, {"ref": "esridhar59/lyft-resnet34-baseline", "kernel_id": "12274137"}, {"ref": "esolis8/resnet50-testing", "kernel_id": "12657784"}, {"ref": "c7934597/lyft-complete-train-and-prediction-pipeline", "kernel_id": "12523003"}, {"ref": "mad6068/lyft-net", "kernel_id": "12068607"}, {"ref": "blaxkdolphin/lyft-motion-animation-for-multi-mode-predictions", "kernel_id": "12048931"}, {"ref": "aikhmelnytskyy/lyft-complete-tr-and-pred-on-colab-or-kaggle", "kernel_id": "12690643"}, {"ref": "charmq/private-submit-without-kernel-inference-bd2592", "kernel_id": "12778584"}, {"ref": "mmukarim/training-motion-prediction-with-pointnet", "kernel_id": "12022556"}, {"ref": "suryajrrafl/lyft-resnet34-baseline-model", "kernel_id": "12251983"}, {"ref": "suryajrrafl/lstm-baseline", "kernel_id": "12449492"}, {"ref": "suryajrrafl/agent-distribution", "kernel_id": "12588165"}, {"ref": "yasagure/tpu-pytorch-lightning-training", "kernel_id": "12819050"}, {"ref": "doanquanvietnamca/22st-solution-kkiller", "kernel_id": "12908759"}, {"ref": "mclikmb4/baseline-model-with-resnet18", "kernel_id": "12057585"}, {"ref": "alannerfranklin/lyft-complete-train-and-prediction-pipeline", "kernel_id": "12759791"}, {"ref": "nxrprime/lyft-vision-transformer-training", "kernel_id": "12439347"}, {"ref": "nxrprime/lyft-vision-transformer-inference", "kernel_id": "12452105"}, {"ref": "bessenyeiszilrd/get-lb-score-under-10-min", "kernel_id": "12881927"}, {"ref": "zacharyluscher/lyft-working-with-map-api", "kernel_id": "12016398"}, {"ref": "ak0210/inference-resnet-adamw", "kernel_id": "12395424"}, {"ref": "yunchuangao/lyft-resnet", "kernel_id": "12615984"}, {"ref": "tusharjain1003/fork-of-tpu-effnet-l2-binarynorm", "kernel_id": "12734332"}, {"ref": "tusharjain1003/combining-lyft-multimode-models", "kernel_id": "12738913"}, {"ref": "tusharjain1003/tpu-resnet50-faster-better", "kernel_id": "12671354"}, {"ref": "washerman/lyft-scene-visualisations-5be301", "kernel_id": "12040262"}, {"ref": "sietseschrder/submit-6e52a3", "kernel_id": "12460371"}, {"ref": "waquarhaseeb/lyft-motion-autonomous-car-drive", "kernel_id": "12349764"}, {"ref": "srinivasgopalkrishna/lyft-submission-1", "kernel_id": "12020193"}, {"ref": "hariprasanthsm/lyft-resnet50-baseline", "kernel_id": "12273935"}, {"ref": "srivatsanbalaji/lyft-resnet34-baseline", "kernel_id": "12273989"}, {"ref": "neelpatel93/baseline-training", "kernel_id": "12211177"}, {"ref": "trevorgarner/lyft-training-with-multi-mode-confidence", "kernel_id": "12577267"}, {"ref": "zaburo/private-submit-without-kernel-inference-02a197", "kernel_id": "13091375"}, {"ref": "fergusoci/simple-distance-order-ensemble", "kernel_id": "13150353"}, {"ref": "logaritm/submission-pixel-0-25-raster-122", "kernel_id": "13495162"}, {"ref": "truonghoang/training-motion-prediction-with-pointvoxelnet", "kernel_id": "13119158"}, {"ref": "louis925/lyft-model-30-resnet34-1cyclelr-64-sgd-24m", "kernel_id": "13047000"}, {"ref": "louis925/lyft-l5kit-louis", "kernel_id": "13053680"}, {"ref": "valanm/avoiding-cpu-bottleneck", "kernel_id": "13116569"}, {"ref": "vigneshkkumar127/temwirk", "kernel_id": "13171080"}, {"ref": "vigneshkkumar127/temwirk-visualisation", "kernel_id": "13210954"}, {"ref": "hbparman/mix-match", "kernel_id": "13458761"}, {"ref": "hbparman/alt-pixel-size", "kernel_id": "13480028"}, {"ref": "scholarsun99/intentnet", "kernel_id": "13479750"}, {"ref": "sai11fkaneko/lyft-late-submission-study", "kernel_id": "13789070"}, {"ref": "suryajrrafl/lstm-decoder-no-maps", "kernel_id": "13192630"}, {"ref": "ashusma/inference-lyft-tensorflow-tpu-multi-mode", "kernel_id": "13049826"}, {"ref": "ashusma/training-lyft-tensorflow-tpu-multi-mode", "kernel_id": "13025587"}, {"ref": "maxzamkovoy/lyft-complete-train-and-prediction-pipeline", "kernel_id": "13148483"}, {"ref": "srilakshminalla/training-lyft-tensorflow-tpu-multi-mode", "kernel_id": "13029750"}, {"ref": "nullyousee/notebookc800b04434", "kernel_id": "13054217"}, {"ref": "gabrielesgroi/lyft-vehicles-motion-prediction-3d-cnn-with-keras", "kernel_id": "13174245"}, {"ref": "sietseschrder/predict-multiple-models", "kernel_id": "13013832"}, {"ref": "xiryanhao/cs5824-project", "kernel_id": "13228387"}, {"ref": "matiasmacias/monografia-update-lyft-motion-prediction-matias", "kernel_id": "13316028"}, {"ref": "kristiinakeps/batch-pred", "kernel_id": "13490306"}, {"ref": "kristiinakeps/batch-test", "kernel_id": "13480553"}, {"ref": "kristiinakeps/combined-version", "kernel_id": "13427239"}, {"ref": "noahxi/lyft-question", "kernel_id": "13036523"}, {"ref": "rjparco/notebook63b54c179f", "kernel_id": "13472345"}, {"ref": "chrisping1127/test-baseline", "kernel_id": "13299103"}, {"ref": "anujiitr/kalman-filter-baseline", "kernel_id": "16951116"}, {"ref": "nicaless/training", "kernel_id": "17252076"}, {"ref": "khushalbr/cs535-lstm-training", "kernel_id": "17458898"}, {"ref": "khushalbr/cs535-resnet50-inference", "kernel_id": "17364953"}, {"ref": "vamsikrishnab/notebookce5a30420a", "kernel_id": "18644401"}, {"ref": "xpharry/lyft-prediction-exploration", "kernel_id": "24995516"}, {"ref": "taeleo/ensemble-app-ras", "kernel_id": "24833753"}, {"ref": "taeleo/fork-of-ensemble-app-ras", "kernel_id": "24893678"}, {"ref": "markomizdrak/train-app-ras-0f91ac", "kernel_id": "24812540"}, {"ref": "flowjan/train-app-ras", "kernel_id": "24263605"}, {"ref": "sathiskkumar1012/fy-project", "kernel_id": "25435979"}, {"ref": "skloveyyp/lyft-late-submission-study", "kernel_id": "27122021"}, {"ref": "rajeshkumarkarra/custom-c-and-cuda-extensions-with-pytorch", "kernel_id": "60587534"}, {"ref": "dnyaneshwalwadkar/predicting-traffic-agent-movement-lyft-level-5-au", "kernel_id": "66577839"}, {"ref": "huzongqian/lyft-complete-train-and-prediction-pipeline", "kernel_id": "70454571"}, {"ref": "huzongqian/lyft-scene-visualisations-5be301", "kernel_id": "70076281"}, {"ref": "zyh1104/034-lyft-motion-prediction-for-autonomous-vehicles", "kernel_id": "71538790"}, {"ref": "tanruikang/efficientnet-v1", "kernel_id": "76693837"}, {"ref": "margicv/lyft-level5-eda-training-inference", "kernel_id": "83987472"}, {"ref": "margicv/lyft-deep-into-the-l5kit-library", "kernel_id": "84115932"}, {"ref": "kemaldemirba/autonomous-motion-engine", "kernel_id": "112930477"}, {"ref": "gandhishlok/autonomous-motion-engine", "kernel_id": "124007747"}]}
{"competition_id": "19991", "kernels": [{"ref": "jpmiller/open-images-eda", "kernel_id": "905229"}, {"ref": "pavansanagapati/a-simple-cnn-model-beginner-guide", "kernel_id": "1090549"}, {"ref": "faressayah/fashion-mnist-classification-using-cnns", "kernel_id": "6811764"}, {"ref": "danofer/pytorch-transfer-learning-gpu", "kernel_id": "9259134"}, {"ref": "anjum48/faster-ycbcr-decoding", "kernel_id": "9803494"}, {"ref": "ttahara/alaska2-eda-simply-subtract", "kernel_id": "9156429"}, {"ref": "anokas/weighted-auc-metric-updated", "kernel_id": "9195203"}, {"ref": "itsmanoj/basic-data-exploration", "kernel_id": "9161521"}, {"ref": "yeayates21/alaska2-densenet-keras-starter", "kernel_id": "9159165"}, {"ref": "yhn112/alaska2-cnn-multiclass-classifier-with-catalyst", "kernel_id": "9721049"}, {"ref": "yhn112/impact-of-steganography-on-dct-coefs-now-works", "kernel_id": "9216618"}, {"ref": "outrunner/random-seed-1", "kernel_id": "9183459"}, {"ref": "naivelamb/alaska2-srnet-baseline-inference", "kernel_id": "9159208"}, {"ref": "msafi04/alaska-wild-tpu", "kernel_id": "9158975"}, {"ref": "grapestone5321/alaska2-image-steganalysis-sample-submission", "kernel_id": "9172469"}, {"ref": "meaninglesslives/alaska2-cnn-multiclass-classifier", "kernel_id": "9386549"}, {"ref": "meaninglesslives/alaska2-analyzing-model-predictions", "kernel_id": "9639846"}, {"ref": "miklgr500/jpeg-compression-rate", "kernel_id": "9171484"}, {"ref": "ninjakx01/alaska2-image-analysis-in-spatial-freq-domain", "kernel_id": "9167259"}, {"ref": "pokekarat/classify-jpg-data-based-on-its-quality-75-90-95", "kernel_id": "9368371"}, {"ref": "tarunpaparaju/alaska2-steganalysis-efficientnet-b3-pytorch", "kernel_id": "9307119"}, {"ref": "maxjeblick/alaska2-efficientnet-on-tpus-competition-metric", "kernel_id": "9186205"}, {"ref": "bibek777/datasplit-based-on-quality-factor-and-stego-scheme", "kernel_id": "9631732"}, {"ref": "arvindkanesan/akaska2-getting-started-basic-eda", "kernel_id": "9223576"}, {"ref": "kuldeepdhadhwal/alaska2-image-stegnanalysis", "kernel_id": "9165240"}, {"ref": "khoongweihao/alaska2-stacking-gpu-tpu-models-a-starter-kit", "kernel_id": "9612113"}, {"ref": "khoongweihao/alaska2-blending-efficientnets-on-tpus", "kernel_id": "9277047"}, {"ref": "manyregression/alaska2-simple-fastai2", "kernel_id": "9309739"}, {"ref": "shonenkov/train-inference-gpu-baseline", "kernel_id": "9824781"}, {"ref": "prashant111/alaska2-image-steganalysis-all-you-need-to-know", "kernel_id": "9163967"}, {"ref": "remicogranne/testrc", "kernel_id": "9220637"}, {"ref": "remicogranne/inspect-impact-of-steganography-on-dct-coefs", "kernel_id": "9200771"}, {"ref": "remicogranne/jpeg-explanations", "kernel_id": "9441526"}, {"ref": "pednt9/alaska2-srnet-in-keras", "kernel_id": "9158956"}, {"ref": "pednt9/alaska2-first-approach-eda", "kernel_id": "9156978"}, {"ref": "rishabhdhiman/updated-auc-dct-discrete-cosine-transform", "kernel_id": "9220416"}, {"ref": "akashsuper2000/alaska2-efficientnet-on-tpus", "kernel_id": "9224445"}, {"ref": "akashsuper2000/jpeg-compression-rate", "kernel_id": "9175905"}, {"ref": "akashsuper2000/tpu-test-kernel", "kernel_id": "9164317"}, {"ref": "akashsuper2000/alaska2-cnn-multiclass-classifier", "kernel_id": "9457575"}, {"ref": "akashsuper2000/enetb7-on-tpus", "kernel_id": "9409095"}, {"ref": "akashsuper2000/train-inference-gpu-baseline-with-ensemble", "kernel_id": "9861973"}, {"ref": "akashsuper2000/train-inference-gpu-baseline", "kernel_id": "9840198"}, {"ref": "mobassir/pytorch-tpu-transfer-learning-baseline", "kernel_id": "9224393"}, {"ref": "aziz69/seresnet-weightedmetric-augs", "kernel_id": "9225017"}, {"ref": "saife245/alaska-xception-densenet121-ensemble", "kernel_id": "9607874"}, {"ref": "rainmaker29/alaska2-efficientnet-on-tpus", "kernel_id": "9286171"}, {"ref": "phoenix9032/alaska2-pytorch-efficientnet-starter-code", "kernel_id": "9251726"}, {"ref": "apeplowski/inspect-impact-of-steganography-on-dct-coefs-v2", "kernel_id": "9292381"}, {"ref": "xhlulu/alaska2-efficientnet-on-tpus", "kernel_id": "9176158"}, {"ref": "pranshu29/more-image-processing-ideas-analysis", "kernel_id": "9281238"}, {"ref": "soham1024/alaska2-inceptionresnetv2-on-tpus", "kernel_id": "9183068"}, {"ref": "tanulsingh077/steganalysis-a-knaive-approach", "kernel_id": "9173404"}, {"ref": "tanulsingh077/steganalysis-complete-understanding-and-model", "kernel_id": "9158631"}, {"ref": "dzz1th/kernel3de146856b", "kernel_id": "9357347"}, {"ref": "ajax0564/basic-idea-behind-steganography", "kernel_id": "9231286"}, {"ref": "vzaguskin/dct-changes-eda-for-alaska", "kernel_id": "9910369"}, {"ref": "mashiat/20-layer-conv", "kernel_id": "9994920"}, {"ref": "owenjin/differential-pixels-visualization", "kernel_id": "9372182"}, {"ref": "eswarchandt/alaska2-eda-and-efficientnet", "kernel_id": "9242551"}, {"ref": "zehaojin/steganalysis-complete-understanding-and-model", "kernel_id": "9269466"}, {"ref": "andradaolteanu/alaska2-competition-multiclass-pytorch-effnetb2", "kernel_id": "9646349"}, {"ref": "urayukitaka/notebook-image-preprocessing-opencv-library", "kernel_id": "9169949"}, {"ref": "urayukitaka/alaska2-try-to-predict-by-efficientnet", "kernel_id": "9361035"}, {"ref": "manuelkraus89/steganography-for-beginners", "kernel_id": "9286751"}, {"ref": "vaibhavrajpandey/analysis", "kernel_id": "9968644"}, {"ref": "krishnaharish/train-inference-gpu-baseline", "kernel_id": "10594292"}, {"ref": "cttsai/classify-save-csv-jpeg-quality-info-75-90-95", "kernel_id": "10446276"}, {"ref": "tunguz/best-b4-inference", "kernel_id": "10799088"}, {"ref": "tunguz/best-b2-inference", "kernel_id": "10799424"}, {"ref": "tunguz/best-b1-inference", "kernel_id": "10799855"}, {"ref": "mazalgarab/aleatory-sampler-for-kaggle", "kernel_id": "10224111"}, {"ref": "mazalgarab/fork-of-detection-based-on-rgb-triad-scorer", "kernel_id": "10582783"}, {"ref": "demesgal/analysis-of-image-denoising", "kernel_id": "10352544"}, {"ref": "demesgal/train-inference-gpu-baseline-tta", "kernel_id": "10500977"}, {"ref": "authman/inference1", "kernel_id": "10621999"}, {"ref": "authman/deep-explorations-with-ubers-jpeg2dct", "kernel_id": "10577880"}, {"ref": "urvishp80/tf-tpu-custom-training", "kernel_id": "10308975"}, {"ref": "mohaoran93/thinking-about-quality-factor", "kernel_id": "10644289"}, {"ref": "servietsky/alaska2-lgbm-classifier-with-hyperparameter-tuning", "kernel_id": "10400618"}, {"ref": "servietsky/easy-import-images-with-managing-ram", "kernel_id": "10351646"}, {"ref": "roydatascience/gpu-ensemble-baseline", "kernel_id": "10550230"}, {"ref": "wuliaokaola/alaska2-best-b6-inference-private-lb-0-929", "kernel_id": "10811881"}, {"ref": "wuliaokaola/alaska2-some-tips-for-using-tpu", "kernel_id": "10962881"}, {"ref": "snakayama/keras-efficientnetb0-noisy-student", "kernel_id": "10295144"}, {"ref": "hellyjain/tpu-efficientnet", "kernel_id": "10262450"}, {"ref": "prashantarorat/alaska-image-stegnalysis", "kernel_id": "10453369"}, {"ref": "prashantarorat/tfrecords-40k-images-test-images-dataset", "kernel_id": "10476399"}, {"ref": "mahmudds/alaska2-image-eda-understanding-and-modeling", "kernel_id": "10479403"}, {"ref": "pchlq82/alaska-train-pipeline-pytorch-gpu", "kernel_id": "10341199"}, {"ref": "ranjitkathiriya/alaska2-inception-network", "kernel_id": "10676365"}, {"ref": "kmldas/alaska2-new-gpu-baseline-tta", "kernel_id": "10627798"}, {"ref": "hooong/tpu-weighted-auc-metric", "kernel_id": "10527107"}, {"ref": "hooong/tpu-on-all-300k-images-without-crashing", "kernel_id": "10458918"}, {"ref": "hooong/alaska2-tfrecord-writer", "kernel_id": "10492826"}, {"ref": "vineeth1999/gpu-baseline-ensemble-baseline", "kernel_id": "10596648"}, {"ref": "mashiat/efficientnet-ycbcr", "kernel_id": "10437148"}, {"ref": "raviyadav2398/image-steganaysis", "kernel_id": "10193292"}, {"ref": "rahee15/fork-of-alaska-fold-0-cover-uerd", "kernel_id": "10628609"}, {"ref": "rahee15/fork-of-alaska-fold-1-cover-uerd", "kernel_id": "10629275"}, {"ref": "rahee15/fork-of-alaska-fold-4-cover-uerd", "kernel_id": "10629671"}, {"ref": "rahee15/fork-of-alaska-fold-3-cover-uerd", "kernel_id": "10629614"}, {"ref": "rahee15/fork-of-alaska-fold-2-cover-uerd", "kernel_id": "10629556"}, {"ref": "abhishekkumkar/image-steganalysis", "kernel_id": "10984893"}, {"ref": "iammajak/train-inference-gpu-baseline", "kernel_id": "10308688"}, {"ref": "adityachandrasekhar/image-steganalysis", "kernel_id": "10597177"}, {"ref": "dimakyn/keras-efficientnetb3-efficientnetb7", "kernel_id": "10177773"}, {"ref": "aakashpatel134/flipflop", "kernel_id": "10668866"}, {"ref": "tasnimnishatislam/alaska2-efficientnet-gpu", "kernel_id": "10552851"}, {"ref": "ahmedhamada0/train-inference-gpu-baseline-tta-148", "kernel_id": "10654535"}, {"ref": "oliviermazenot/about-the-usefullness-of-tta", "kernel_id": "10742395"}, {"ref": "rakeshptiwari/b3-predictions-singlemodel", "kernel_id": "10763808"}, {"ref": "rakeshptiwari/b3-b2-oc-ensemble", "kernel_id": "10784389"}, {"ref": "zihezheng/pytorch-tpu-transfer-learning-baseline", "kernel_id": "10530171"}, {"ref": "mattmurphy11111111/nhmm2", "kernel_id": "10185090"}, {"ref": "makhloufsabir/alaska2-image-steganalysis-with-efficientnetb3", "kernel_id": "10313776"}, {"ref": "laofei/tta-to-get-better-score", "kernel_id": "10678360"}, {"ref": "enukuro/alaska2-tfrecord-writer-10-classes", "kernel_id": "10677408"}, {"ref": "yueqiangqin/make-tfrecord-1", "kernel_id": "10680329"}, {"ref": "yueqiangqin/make-tfrecord", "kernel_id": "10678731"}, {"ref": "jaidevchittoria/alaska-jd-2", "kernel_id": "10781314"}, {"ref": "jaidevchittoria/submit", "kernel_id": "10777281"}, {"ref": "adityarajsinghvi/efficientnet", "kernel_id": "11987288"}, {"ref": "abhishekkumkar/steganalysis-data-visualization", "kernel_id": "11980791"}, {"ref": "abhishekkumkar/efficientnet-with-imagenet-weights", "kernel_id": "11070710"}, {"ref": "vedantrokde/notebooke451c72e74", "kernel_id": "11987126"}, {"ref": "yashjaveri/alaska2-efficientnet-on-tpus", "kernel_id": "11515303"}, {"ref": "yashjaveriagain/alaska2-efficientnet-on-tpus", "kernel_id": "11516056"}, {"ref": "ric1903/machine-learning-project", "kernel_id": "12007468"}, {"ref": "ric1903/machine-learning-project-analysis", "kernel_id": "12668656"}, {"ref": "abhishekkumkar/steganalysis-varun-abhishek", "kernel_id": "12635740"}, {"ref": "abhishekkumkar/modelings-abhishekkumkar-varunpatel", "kernel_id": "12004797"}, {"ref": "shrekty/alaska", "kernel_id": "12492775"}, {"ref": "jaidevchittoria/steganalysis-of-image-eda", "kernel_id": "12231645"}, {"ref": "saurabhmaydeo/data-security-image-st", "kernel_id": "13354287"}, {"ref": "sergeysib/alaska2-cnn-multiclass-classifier-with-catalyst", "kernel_id": "14394861"}, {"ref": "tanveer81/adversarial-attack", "kernel_id": "14110730"}, {"ref": "saurabhmaydeo/notebook50d155db1c", "kernel_id": "16162627"}, {"ref": "nitinr2510/resnet-50-attempt-2", "kernel_id": "17026152"}, {"ref": "kingkongs7/alaska-1", "kernel_id": "22527147"}, {"ref": "kingkongs7/alaska2-efficient", "kernel_id": "22546239"}, {"ref": "ahmedshaykhon/gpu-baseline-2classes-shayhkon-6846a22", "kernel_id": "25197937"}, {"ref": "aleksandrlazarev/alaska2-lazarev", "kernel_id": "25652127"}, {"ref": "ildargabbasov/alaska2-densenet", "kernel_id": "25730557"}, {"ref": "maxpronin/alaska2-max", "kernel_id": "25751778"}, {"ref": "maxpronin/alaska2-test", "kernel_id": "25651616"}, {"ref": "oleggayduk/image-detection", "kernel_id": "26371665"}, {"ref": "anushrisuresh02/steganalysis", "kernel_id": "26098526"}, {"ref": "kk0105/alaska2-image-steganalysis", "kernel_id": "30574296"}, {"ref": "mdtawsifmostafiz/eee6608-project", "kernel_id": "30688708"}, {"ref": "kbpranav123/neural-network", "kernel_id": "34016044"}, {"ref": "katharinadata/code-for-dataset-lsb", "kernel_id": "35329205"}, {"ref": "katharinadata/dct-ycrbr-eff", "kernel_id": "36289397"}, {"ref": "studentmax/fork-of-alaska-standard-cnn", "kernel_id": "38601118"}, {"ref": "vbravo/test-alaska-competition", "kernel_id": "44623769"}, {"ref": "ayan07/steganography", "kernel_id": "44089457"}, {"ref": "vbravo/test-alaska-competition-2", "kernel_id": "45320150"}, {"ref": "aaryaamoharir/steg-analysis-using-a-cnn", "kernel_id": "45382328"}, {"ref": "aaryaamoharir/deepnote-to-kaggle", "kernel_id": "45775168"}, {"ref": "dheeerajgarg/sr-net", "kernel_id": "45156761"}, {"ref": "dsuhcs/lsb-alaska2", "kernel_id": "46841302"}, {"ref": "dsuhcs/stego-tpu-tf", "kernel_id": "46424641"}, {"ref": "aaryaamoharir/resnet-50-my-version", "kernel_id": "46053536"}, {"ref": "aaryaamoharir/notebookaa6bb4afa1", "kernel_id": "46009123"}, {"ref": "aaryaamoharir/resnet-50-version-2", "kernel_id": "46586947"}, {"ref": "stanptown/alaska2-srnet-in-keras", "kernel_id": "53820146"}, {"ref": "dheeerajgarg/alaska2-srnet-in-keras", "kernel_id": "53994922"}, {"ref": "stanptown/alaska2-srnet-in-keras-6a27ef", "kernel_id": "54087489"}, {"ref": "gcmars/notebookd4a1c20992", "kernel_id": "54284848"}, {"ref": "natthakitver2/submisssion", "kernel_id": "56699842"}, {"ref": "thenguyen18/alaska2zero", "kernel_id": "57958974"}, {"ref": "jadsoncrislan/ycrcb-freeze", "kernel_id": "58700103"}, {"ref": "danghuynhcuuquan/stega", "kernel_id": "58860131"}, {"ref": "namlequanghcmusk17/notebookd837d32151", "kernel_id": "58518863"}, {"ref": "aleskab400/alaska2zero", "kernel_id": "58494727"}, {"ref": "cquan2703/stega", "kernel_id": "59823291"}, {"ref": "madhavyamjala/image-steganography-and-steganalysis", "kernel_id": "65330369"}, {"ref": "nguyenhoangducnguyen/midterm-project", "kernel_id": "77551794"}, {"ref": "lemuellemuen/alaska2-training", "kernel_id": "77451424"}, {"ref": "trandinhkhang/image-steganalysis-on-efficientnetb2", "kernel_id": "78425301"}, {"ref": "reflex7/notebook7fdcfc1fe0", "kernel_id": "78901377"}, {"ref": "reflex7/notebook3f34eb6064", "kernel_id": "78900484"}, {"ref": "nguyntrntrnh/n-d-li-u-v-chia-s-th-ng-tin", "kernel_id": "79595717"}, {"ref": "nikitakedari25/seminar", "kernel_id": "79554721"}, {"ref": "lvntrng/notebooked7c766c92", "kernel_id": "80445861"}, {"ref": "lvntrng/alaska2", "kernel_id": "80360500"}, {"ref": "baotran2111/alaska-2-efficientnet-b2", "kernel_id": "80982795"}, {"ref": "kshitijbhardwaj1729/firsttry", "kernel_id": "80923927"}, {"ref": "tuananh2011/alaska2", "kernel_id": "80818234"}, {"ref": "nikitakedari25/seminar2", "kernel_id": "80279530"}, {"ref": "thngnnnanh03/imagesteganalysis", "kernel_id": "80099968"}, {"ref": "tranduy30081/project-adl", "kernel_id": "80406918"}, {"ref": "trnnhkhang/train-inference-gpu-baseline", "kernel_id": "80812040"}, {"ref": "tranduy3008/project-adl", "kernel_id": "80811604"}, {"ref": "tnhunhlp/report", "kernel_id": "80855711"}, {"ref": "ulasdesouza/notebookd17efaa523", "kernel_id": "82175549"}, {"ref": "haticeyarenbulut/auc6draft", "kernel_id": "82884911"}, {"ref": "shaminbinhabib/steg-transformer-1", "kernel_id": "82636766"}, {"ref": "trinhbao/project-final", "kernel_id": "82226277"}, {"ref": "hienvmai/alaska2-project", "kernel_id": "83679527"}, {"ref": "nguyenle02/notebookc8f2701697", "kernel_id": "83278688"}, {"ref": "mrguts/notebookcb1f6f5c41", "kernel_id": "86264812"}, {"ref": "mdmujtaba/notebook41d85453a2", "kernel_id": "87401322"}, {"ref": "minhnguync11/5-antt", "kernel_id": "90150355"}, {"ref": "neitcm/icdpn", "kernel_id": "91276712"}, {"ref": "ntkimdung/phat-hien-ky-thuat", "kernel_id": "100219774"}, {"ref": "mdezazulhaquemahi/diffusion-from-scratch", "kernel_id": "108828299"}, {"ref": "ojasmalhotra/train-inference-gpu-baseline", "kernel_id": "109461074"}, {"ref": "mdezazulhaquemahi/train-diffusion", "kernel_id": "109523430"}, {"ref": "mdezazulhaquemahi/steganalyzer", "kernel_id": "111116303"}, {"ref": "ojasmalhotra/alaska2-cnn", "kernel_id": "116646610"}, {"ref": "ojasmalhotra/notebook4c0a13b414", "kernel_id": "119848953"}, {"ref": "liambprice/continuation-project-scratch-work", "kernel_id": "131270509"}, {"ref": "liambprice/continuation-project-notebook", "kernel_id": "131211563"}]}
{"competition_id": "19995", "kernels": [{"ref": "amansinghal99/ep17b002-ep17b010", "kernel_id": "11099298"}]}
{"competition_id": "19997", "kernels": []}
{"competition_id": "20009", "kernels": [{"ref": "jpmiller/open-images-eda", "kernel_id": "905229"}, {"ref": "shawon10/object-detection-and-image-segmentation-pixellib", "kernel_id": "9916459"}, {"ref": "meenakshiramaswamy/open-images-mask-rcnn-starter", "kernel_id": "9581826"}, {"ref": "vsevicky/open-images-object-detection-rvc-2020-edition", "kernel_id": "10965615"}, {"ref": "mahmudds/open-images-object-detection-rvc", "kernel_id": "10507480"}, {"ref": "pieraqua/hydra", "kernel_id": "10672602"}, {"ref": "abdullahhashmi/open-images-mask-rcnn-starter", "kernel_id": "10578341"}, {"ref": "marialeghari/blur-change-bg-focus-single-obj-using-pixellib", "kernel_id": "21685179"}, {"ref": "fakeroggy/open-images-object-detection-rvc", "kernel_id": "32965054"}, {"ref": "sudoshivam/segment-anything-model-sam-instance-segmentation", "kernel_id": "42219512"}, {"ref": "atishayjainiitk/open-images-mask-rcnn-starter", "kernel_id": "64752922"}]}
{"competition_id": "20010", "kernels": [{"ref": "yatinece/sub2-submission-covid19-w4", "kernel_id": "8948480"}, {"ref": "yatinece/ensemble-trmf-and-r", "kernel_id": "8948613"}, {"ref": "yatinece/trmf-recent", "kernel_id": "8948714"}, {"ref": "gaborfodor/covid-19-w4-a-few-charts", "kernel_id": "8884759"}, {"ref": "gaborfodor/covid19-global-forecasting-top-submissions", "kernel_id": "8837329"}, {"ref": "gaborfodor/covid-19-w4-finally-some-ml", "kernel_id": "8939972"}, {"ref": "mathurinache/mathurin-week4-prevision3", "kernel_id": "8942449"}, {"ref": "mathurinache/zindi-predict-the-global-spread-of-covid-beluga", "kernel_id": "8973109"}, {"ref": "mathurinache/mathurin-week4-prevision1", "kernel_id": "8837299"}, {"ref": "ydhiman/covid-week4", "kernel_id": "8856752"}, {"ref": "dimaquick/kernel4410ba4140", "kernel_id": "8948019"}, {"ref": "mlandry/kernel2b47680e15", "kernel_id": "8949034"}, {"ref": "wjholst/prediction-with-a-gamma-pdf", "kernel_id": "8891208"}, {"ref": "manuelblechschmidt/everycounts-de-exploratory-data-analysis", "kernel_id": "8766793"}, {"ref": "titericz/week-3-blend", "kernel_id": "8911578"}, {"ref": "titericz/week-4-blend-ideas", "kernel_id": "8947652"}, {"ref": "mikeskim/kernel52e97e345e", "kernel_id": "8905651"}, {"ref": "mathseer/corona-lightgbm-from-northquay-w4", "kernel_id": "8915723"}, {"ref": "mathseer/lgb-mad-w4", "kernel_id": "8699068"}, {"ref": "cpmpml/covid-19-week-4", "kernel_id": "8949326"}, {"ref": "cpmpml/covid-19-week-with-extra-day", "kernel_id": "8992221"}, {"ref": "nxpnsv/tbtb-w4", "kernel_id": "8950160"}, {"ref": "pietromarinelli/china-pp-15-85-cummax-regression-vs-poisson-vs", "kernel_id": "8950103"}, {"ref": "pietromarinelli/chinapp-4-6-2-8-cummax-regression-vs-poisson-vs", "kernel_id": "8950046"}, {"ref": "boskaiolo/time-series-predictions-are-based-on-14-days-back", "kernel_id": "8861534"}, {"ref": "cmanning/covid-svd-ets-wk4", "kernel_id": "8832114"}, {"ref": "cmanning/covid-ets-wk4", "kernel_id": "8832363"}, {"ref": "amitstei/covid19-forecasting-state-space-lgbm", "kernel_id": "8833828"}, {"ref": "amitstei/lgbm-baseline-short-elegant", "kernel_id": "8876885"}, {"ref": "kazanova/fork-of-script-with-commented-train-counts-for-zer", "kernel_id": "8958461"}, {"ref": "kazanova/script-with-commented-train-counts-for-zeros", "kernel_id": "8947715"}, {"ref": "rohanrao/covid-19-w4-lgb-mad", "kernel_id": "8944305"}, {"ref": "liangpang/prediction-week4", "kernel_id": "8934662"}, {"ref": "caracena/submission-week-4", "kernel_id": "8951169"}, {"ref": "skorsun/covid19-week4-exponential", "kernel_id": "8948118"}, {"ref": "taihsienouyang/covid19-week4", "kernel_id": "8862396"}, {"ref": "ericfreeman/osciiart-with-some-new-features", "kernel_id": "8945088"}, {"ref": "vivek2589/covid-19-prediction-may-week-2", "kernel_id": "8833092"}, {"ref": "thilakg/covid19-global-forecasting-week-4-tg", "kernel_id": "8913263"}, {"ref": "chrisholmes1/covid-19-week-4-arima", "kernel_id": "8913315"}, {"ref": "brunojedynak/kernel2cd07def7f", "kernel_id": "8918068"}, {"ref": "uvinetz/week-4-submission-poisson", "kernel_id": "8926172"}, {"ref": "super13579/covid-19-global-forecast-seir-visualize", "kernel_id": "8554094"}, {"ref": "super13579/covid-19-global-forecast-seir-visualize-w4", "kernel_id": "8903901"}, {"ref": "janosk21/dsanet-v2", "kernel_id": "8885531"}, {"ref": "sebastianpine/covid19-forecast-week4", "kernel_id": "8925916"}, {"ref": "chemicaltoilet/covid-week-4", "kernel_id": "8916743"}, {"ref": "jiashun/week4mitigation", "kernel_id": "8949081"}, {"ref": "viiids/xg-boost", "kernel_id": "8849629"}, {"ref": "viiids/fb-prophet-week-4", "kernel_id": "8902350"}, {"ref": "andrewkagel/covid19-week4-1", "kernel_id": "8833286"}, {"ref": "amezet/arima-influenza-mathematical-solution-w4", "kernel_id": "8887277"}, {"ref": "amezet/covid-19-lightgbm-2nd-place-of-w1-math-w4", "kernel_id": "8887307"}, {"ref": "hossein2015/covid-19-week-4-xgboost-hossein", "kernel_id": "8877734"}, {"ref": "hossein2015/xgboost-algorithm-covid-19-week-4", "kernel_id": "8913787"}, {"ref": "sasrdw/gbt5e", "kernel_id": "8950679"}, {"ref": "sasrdw/gbt5f", "kernel_id": "8951238"}, {"ref": "algonell/covid-19-series-poly-fit-w4", "kernel_id": "8834871"}, {"ref": "deepaksadulla/forecast-in-r-2020-04-15", "kernel_id": "8844066"}, {"ref": "deepaksadulla/forecast-in-r-2020-04-15-v2", "kernel_id": "8946044"}, {"ref": "dkozlov/rrgnwndlg2wd23ru2beutvmrsuv5beuy", "kernel_id": "8887495"}, {"ref": "mchatters/covid-xgboost-v1", "kernel_id": "8901853"}, {"ref": "tunguz/simple-covid-19-global-eda-week-4", "kernel_id": "8848014"}, {"ref": "tunguz/covid-19-week-4", "kernel_id": "8932929"}, {"ref": "praveenadepu/w4-001", "kernel_id": "8848976"}, {"ref": "jacksmd12/problem-2-covid19-global-forecasting", "kernel_id": "8877866"}, {"ref": "menglu/covid-19-prediction-week4", "kernel_id": "8897926"}, {"ref": "menglu/covid19week4", "kernel_id": "8896038"}, {"ref": "aerdem4/covid-19-w4-submission", "kernel_id": "8937549"}, {"ref": "daqing/kernel33ac22b83a", "kernel_id": "8832319"}, {"ref": "lamothy/covid19-week4", "kernel_id": "8833835"}, {"ref": "zhengli0817/lroger-covid19-global-forecasting-week-4-lgbm", "kernel_id": "8844837"}, {"ref": "zhengli0817/lroger-covid19-global-forecasting-week-4-kaz", "kernel_id": "8947225"}, {"ref": "kjm1559/predict-gru-attention-4-week", "kernel_id": "8874412"}, {"ref": "aclowes/alec-week-4-covid", "kernel_id": "8917223"}, {"ref": "ddanevskyi/autoregressive-lgbm", "kernel_id": "8947969"}, {"ref": "jordimas/covid-19-week4-sir-fittings", "kernel_id": "8949116"}, {"ref": "ankt24/covid-eda-seir-model-week-4-data", "kernel_id": "8922890"}, {"ref": "kirichenko17roman/old-dsanet-approach", "kernel_id": "8950474"}, {"ref": "kirichenko17roman/dsanet-approach", "kernel_id": "8836105"}, {"ref": "paulorzp/covid19-w4-blend6", "kernel_id": "8950392"}, {"ref": "paulorzp/covid-19-forecasting-week-4-ensemble", "kernel_id": "8947932"}, {"ref": "mystery/covid19-week4", "kernel_id": "8898441"}, {"ref": "mystery/kernel71d51fae35", "kernel_id": "8951230"}, {"ref": "syedrizvi786/fork-of-week-4", "kernel_id": "8921800"}, {"ref": "dgrechka/sir-sigmoid-lethal-rate", "kernel_id": "8947840"}, {"ref": "dgrechka/sigmoid-model-only", "kernel_id": "8827529"}, {"ref": "neg0000273/auto-arima-week-4", "kernel_id": "8947687"}, {"ref": "manojankk/xgboost-with-tuning", "kernel_id": "8936151"}, {"ref": "deshmane/kernel6cd1e69544", "kernel_id": "8834895"}, {"ref": "rubben/kernel269a6b06e6", "kernel_id": "8946719"}, {"ref": "mauddib/bcg-policy-correlation-with-mortality", "kernel_id": "8833753"}, {"ref": "robikscube/robs-covid19-week-4-blender", "kernel_id": "8895554"}, {"ref": "robikscube/xgboost-algorithm-covid-19-week-4", "kernel_id": "8951322"}, {"ref": "denychaen/covid-19-marspline-model-w4", "kernel_id": "8943935"}, {"ref": "nonserial/covid19-week-4-mlr3learners-lightgbm", "kernel_id": "8861079"}, {"ref": "nonserial/fork-of-covid19-week-4-mlr3learners-lightgbm", "kernel_id": "8936033"}, {"ref": "oksanasem/some-xgb-with-logfit", "kernel_id": "8949969"}, {"ref": "kurtjanssens/seir-hcd-model-22-april", "kernel_id": "8749126"}, {"ref": "andrewshevelev/kernel561e84a523week4forsber", "kernel_id": "8894256"}, {"ref": "andrewshevelev/kernel4d51baf36e", "kernel_id": "8946409"}, {"ref": "casras/covid19-week4-exponential-curve-fit", "kernel_id": "8852907"}, {"ref": "tcwilliams/covid-forecasting-week-4-w-xgboost", "kernel_id": "8850711"}, {"ref": "dsharesh/covid-19-india-global-forecast", "kernel_id": "8873139"}, {"ref": "jagannathrk/covid19-global-forecasting-week-4-visualization", "kernel_id": "8843704"}, {"ref": "nayonika/covid-19-forecast-regression", "kernel_id": "8897039"}, {"ref": "nydehouche/fork-of-fork-of-kernel40891b8324-afacac-d6f11f", "kernel_id": "8926528"}, {"ref": "belgrader/covid-19-week-4", "kernel_id": "8931549"}, {"ref": "seshurajup/covid19-week-4", "kernel_id": "8856576"}, {"ref": "ashimak01/fork-of-trmfrun", "kernel_id": "8949558"}, {"ref": "ashimak01/kernel654fb5d918", "kernel_id": "8949177"}, {"ref": "gauravbrills/covid-week-4-forecasting", "kernel_id": "8846608"}, {"ref": "sophiaray/covid-19-forecast-phophet-week4", "kernel_id": "8932884"}, {"ref": "zumbov/covid-19-various-time-series-models-week-4", "kernel_id": "8938178"}, {"ref": "zumbov/covid-19-week-4-regression-on-daily-increases", "kernel_id": "8950145"}, {"ref": "yaroshevskiy/covid-19-fit-logistic-curves-and-submit-week-3", "kernel_id": "8814644"}, {"ref": "yaroshevskiy/covid-19-parallel-procesing-poly-fit-etr-w4", "kernel_id": "8946363"}, {"ref": "yaroshevskiy/covid19-forecasting-xgboost", "kernel_id": "8946236"}, {"ref": "pyotam/covid-week-4-blend-modified", "kernel_id": "8942366"}, {"ref": "mmfaus/covid-arima-peak-finder", "kernel_id": "8933086"}, {"ref": "aysunbo/prediction-of-global-and-us-cases-with-prophet", "kernel_id": "8949574"}, {"ref": "wonabru/relation-between-electricity-and-covid-19", "kernel_id": "8894460"}, {"ref": "therealroman/kernel496d42ca7-4", "kernel_id": "8951201"}, {"ref": "jsrshivam/covid19-research", "kernel_id": "8964854"}, {"ref": "kumarandatascientist/covid19-observations-and-forecasting", "kernel_id": "8871927"}, {"ref": "worldkeeping/week4-lgb", "kernel_id": "8880445"}, {"ref": "mikeberhane9/kernel35153fd214", "kernel_id": "8930779"}, {"ref": "ilialar/logcurve-w4", "kernel_id": "8940288"}, {"ref": "pzingo/tabular-learner-fast-ai-starter", "kernel_id": "8950113"}, {"ref": "tmathieu/which-countries-s-cases-are-hard-to-predict", "kernel_id": "8835094"}, {"ref": "marcomarchetti/covid-19-eda-commuting-healthcare-forecast", "kernel_id": "8847981"}, {"ref": "osciiart/covid-19-lightgbm-week-4-no-leak", "kernel_id": "8841740"}, {"ref": "osciiart/week-2-late-submission", "kernel_id": "8760918"}, {"ref": "kaimingk/covid-week4-transformer", "kernel_id": "8840676"}, {"ref": "sagihaider/eda-prediction", "kernel_id": "8882596"}, {"ref": "joemenifee/covid19-week4-states", "kernel_id": "8951477"}, {"ref": "bisharp/first-try-just-learning", "kernel_id": "8911326"}, {"ref": "asierarteaga/covid19-w4-2", "kernel_id": "8841359"}, {"ref": "asierarteaga/covid-w4-submission", "kernel_id": "8941065"}, {"ref": "bitsnpieces/covid19-forecast-wk4-poly-gaussian-fit", "kernel_id": "8832575"}, {"ref": "bitsnpieces/covid19-forecast-wk4-lightgbm", "kernel_id": "8881863"}, {"ref": "sadeka007/wk4-covid-19-forecasting-with-lgb-goss", "kernel_id": "8927626"}, {"ref": "rohitmidha23/covid4-stats", "kernel_id": "8913805"}, {"ref": "apoorvm/covid19-week-4", "kernel_id": "8951781"}, {"ref": "franckepeixoto/covid19-global-forecasting", "kernel_id": "8941056"}, {"ref": "subinc/covid-india-forecast", "kernel_id": "8946917"}, {"ref": "szukiyu/covid-19-sarima-week4", "kernel_id": "8942874"}, {"ref": "kamalnaithani/india-world-live-update", "kernel_id": "8908392"}, {"ref": "brandon0/eda-using-sql", "kernel_id": "8832392"}, {"ref": "cuberti/covid-19-python-eda", "kernel_id": "8604003"}, {"ref": "mlghost/kernel6f5e5e2553", "kernel_id": "8949192"}, {"ref": "cedna198/visual-forecast-of-covid-19-spread-in-regression", "kernel_id": "8893698"}, {"ref": "hy2017/swish-0414-w4", "kernel_id": "8912279"}, {"ref": "hy2017/ice-0415", "kernel_id": "8929114"}, {"ref": "sklasfeld/covid19-forescasting-week4-holt-v1", "kernel_id": "8620830"}, {"ref": "shaitender/forked", "kernel_id": "8974683"}, {"ref": "sayanotsu/covid-19-week4-holt-s-method", "kernel_id": "8877379"}, {"ref": "nitishabharathi/the-story-of-covid-19-in-india-eda-and-prediction", "kernel_id": "8785570"}, {"ref": "anshuls235/covid19-explained-through-visualizations", "kernel_id": "8729949"}, {"ref": "anshuls235/covid19-predictions-week4", "kernel_id": "8934855"}, {"ref": "mathnery/covid19-pred-xgboosting-week4", "kernel_id": "8858850"}, {"ref": "mehek1/covid-19-forecasting-with-lstms", "kernel_id": "8626797"}, {"ref": "sayan341/kernel568ca2fb2d", "kernel_id": "8950345"}, {"ref": "taohoang/fbprophet", "kernel_id": "8866643"}, {"ref": "taohoang/lstm-with-multistep-prediction", "kernel_id": "8916385"}, {"ref": "yuanquan/covid-19-prediction-by-country-and-province", "kernel_id": "8589309"}, {"ref": "ashora/lightgbm-final-covid-forecasting-kernel", "kernel_id": "8848701"}, {"ref": "ashora/lgbm-baseline-short-elegant", "kernel_id": "8914966"}, {"ref": "holfyuen/predicting-coronavirus-cases-with-logistic-curve", "kernel_id": "8899452"}, {"ref": "mattjezza/covid-19-prediction-using-a-lasso-model", "kernel_id": "8947692"}, {"ref": "christofhenkel/cv19w4-full-pdd-oscii-david-vopa-sub2", "kernel_id": "8947915"}, {"ref": "christofhenkel/cv19w4-full-pdd-oscii-david-vopa-sub1", "kernel_id": "8947839"}, {"ref": "amithsbhat/kernelb66b21982f", "kernel_id": "8832610"}, {"ref": "georgem20/rnn-modeling", "kernel_id": "8897726"}, {"ref": "harshpalsingh/kernel-10", "kernel_id": "8909041"}, {"ref": "shaswata97/kernel44638a6d4f", "kernel_id": "8953380"}, {"ref": "therlos/covid19-analyse-government-strategies", "kernel_id": "8993271"}, {"ref": "mldlai/covid19globalw4", "kernel_id": "8845799"}, {"ref": "swaroopnath6/covid-19-data-exploration-and-prediction", "kernel_id": "8916126"}, {"ref": "anitho2910/eda-for-covid-19", "kernel_id": "8993920"}, {"ref": "shainy/covid-19-linear-regression-with-python", "kernel_id": "8942515"}, {"ref": "chekoduadarsh/epidemic-model-covid-19-india-visualizations", "kernel_id": "8764380"}, {"ref": "peteralaoui/3-regimes-logistic-exponential-and-linear-w4", "kernel_id": "8907279"}, {"ref": "sad9896/kernel5bffa0d16f", "kernel_id": "8903955"}, {"ref": "eluzquadros/covid-19-global-forecast-seir-visualize", "kernel_id": "8975680"}, {"ref": "regismagnus/covid19-week4", "kernel_id": "8860037"}, {"ref": "diamondsnake/covid-19-logistic-curve-fitting-week-4", "kernel_id": "8847892"}, {"ref": "diamondsnake/covid-19-logistic-curve-fitting-and-correlation", "kernel_id": "8717412"}, {"ref": "swatichauhan/covid19-forecasting-using-lr", "kernel_id": "8975031"}, {"ref": "manovirat/covid-19-analysis-timeseriesprediction", "kernel_id": "8919450"}, {"ref": "cseamaoo/i-hope-these-predicts-are-wrong", "kernel_id": "8880752"}, {"ref": "cseamaoo/kernel45790c4947", "kernel_id": "8945969"}, {"ref": "thomastaus/kernel1069695a34", "kernel_id": "8950633"}, {"ref": "qazidanishayub/gujjar-covid19-explained-through-vellay", "kernel_id": "8947143"}, {"ref": "havihavish/csce-5300-covid", "kernel_id": "8985424"}, {"ref": "havihavish/csce-5300-1", "kernel_id": "8848207"}, {"ref": "azat942wer/covid-usa-data-exploration", "kernel_id": "8881699"}, {"ref": "ffares/exponential-growth-forecasting-using-one-feature", "kernel_id": "8877521"}, {"ref": "ffares/less-than-0-3-using-one-single-feature", "kernel_id": "8894358"}, {"ref": "ffares/xgboost2", "kernel_id": "8933759"}, {"ref": "sandeepsonare/kernel44cc7dc213", "kernel_id": "8949945"}, {"ref": "muhakabartay/covid-19-forecasting-xgboost-week-4-30dace", "kernel_id": "8885812"}, {"ref": "ngyibin/covid19-global-forecasting-linear-regression", "kernel_id": "8753994"}, {"ref": "themichaelkam/covid19-kernel", "kernel_id": "8865171"}, {"ref": "pritaman/covid19-global-forecasting-week-4", "kernel_id": "8979881"}, {"ref": "kojimar/kernel728e65ae76", "kernel_id": "8935020"}, {"ref": "ludovicoristori/covid-fc-wk4-version-2-polynomial-fit-xgb", "kernel_id": "8877386"}, {"ref": "ludovicoristori/covid-fc-wk4", "kernel_id": "8835904"}, {"ref": "marwa01/dsanet-additional-data", "kernel_id": "8840864"}, {"ref": "begehr/covid19-week4-sir-model-leocorona", "kernel_id": "8836230"}, {"ref": "begehr/dqa-eda", "kernel_id": "8927952"}, {"ref": "begehr/covid19-week4-simple-lstm", "kernel_id": "8947233"}, {"ref": "yogeshpalrecha/covid19-week4-challenge", "kernel_id": "8947410"}, {"ref": "cohenrobinson/covid-19-forecasting-exploration", "kernel_id": "8850240"}, {"ref": "steffanobrito/ponto-futuro-modelo-decay-fatalities-w4-v5", "kernel_id": "8839901"}, {"ref": "alviishmam/covid-19-week-4", "kernel_id": "8862021"}, {"ref": "pdevine/covid-19-global-forecasting-4-top-6-notebook", "kernel_id": "8933190"}, {"ref": "milan400/covid19-forecasting", "kernel_id": "8869671"}, {"ref": "petersorensen360/zoom360", "kernel_id": "8950581"}, {"ref": "petersorensen360/kernel5515af9c10", "kernel_id": "8950056"}, {"ref": "akashsuper2000/lightgbm-regressor-week-4", "kernel_id": "8885185"}, {"ref": "akashsuper2000/sarimax-model-for-week-4", "kernel_id": "8859913"}, {"ref": "akashsuper2000/using-xgboost-week-4", "kernel_id": "8859867"}, {"ref": "sadakmed/lgbm-baseline-short-elegant", "kernel_id": "8917644"}, {"ref": "appian/covid19-week4-1", "kernel_id": "8948941"}, {"ref": "appian/covid19-week4-2", "kernel_id": "8949005"}, {"ref": "suyashkhare/cvoid-prediction-india", "kernel_id": "8910856"}, {"ref": "dferhadi/covid-19-predictions-growth-factor-and-calculus", "kernel_id": "8434834"}, {"ref": "mehdi16/week-4-tree-regressor", "kernel_id": "8839244"}, {"ref": "ashish2070/coronavirus-through-visualization", "kernel_id": "8855559"}, {"ref": "andnov/zand-covid19-gf-w4-catboost", "kernel_id": "8950720"}, {"ref": "digimagi/sarimax-model-for-week-4", "kernel_id": "8926005"}, {"ref": "digimagi/covid19-forecasting-xgboost", "kernel_id": "8926007"}, {"ref": "sonu26072001/covid4", "kernel_id": "8869188"}, {"ref": "mungejaro/pandemic-in-a-handful-of-parameters", "kernel_id": "8948612"}, {"ref": "afshiin/covid-19-forecasting-using-ensemble-learning", "kernel_id": "8900842"}, {"ref": "samarendra109/kernel205938776d", "kernel_id": "8888422"}, {"ref": "samarendra109/kernel30b955016d", "kernel_id": "8928786"}, {"ref": "samarendra109/using-skewness-to-quantify-growth-of-corona", "kernel_id": "8925609"}, {"ref": "nicksadjoli/covid19-projections-w-interpretml", "kernel_id": "8833754"}, {"ref": "alexitkes/covid-week-4-linear-countries", "kernel_id": "8843678"}, {"ref": "kashish2801/covid-19-prediction-using-prophet-by-facebook", "kernel_id": "8876222"}, {"ref": "gabrielmilan/custom-regressors-ensembling", "kernel_id": "8875181"}, {"ref": "gabrielmilan/baselining-w-week-2-notebook", "kernel_id": "8875137"}, {"ref": "gabrielmilan/baselining-w-week-3-notebook", "kernel_id": "8845452"}, {"ref": "gabrielmilan/gompertz-regressor-ensemble", "kernel_id": "8861103"}, {"ref": "niteshx2/week-4-covid-using-extra-features", "kernel_id": "8838528"}, {"ref": "abhishekrath1995/sp20-ee257-abhishek-krishal", "kernel_id": "8971170"}, {"ref": "jorijnsmit/population-and-sub-continent-for-every-entity", "kernel_id": "8591864"}, {"ref": "jorijnsmit/mathematical-solution-to-sigmoid-parameters", "kernel_id": "8602380"}, {"ref": "fukuokamasaru/covid19globalf-w4-0415a-1", "kernel_id": "8890402"}, {"ref": "fukuokamasaru/covid19globalf-w4-0415a-m2-1", "kernel_id": "8935841"}, {"ref": "cchaojie/covid19-global-forecasting-week-4", "kernel_id": "8925360"}, {"ref": "lottecho/covid-19-analysis-through-time-series", "kernel_id": "8867497"}, {"ref": "giginghn/covid19-analysis-eda-seir-model-predictions", "kernel_id": "8693229"}, {"ref": "vipultawde/covid-polynomial-regression", "kernel_id": "8878722"}, {"ref": "vipultawde/regression-no-external-dataset", "kernel_id": "8980923"}, {"ref": "s903124/comparison-of-week-2-sumissions", "kernel_id": "8856831"}, {"ref": "priteshraj10/covid-19-cases", "kernel_id": "8896310"}, {"ref": "asme2201/kaggle-covid-19-forecast-challenge-sarimax", "kernel_id": "8942986"}, {"ref": "huyquoctrinh/huy-late", "kernel_id": "8918903"}, {"ref": "yustasalex/covid19-gf-week4-sarimax-with-bec", "kernel_id": "8869502"}, {"ref": "yustasalex/covid19-gf-week4-sarimax", "kernel_id": "8828632"}, {"ref": "abhijithchandradas/sir-model-don-t-understand-calculus-don-t-worry", "kernel_id": "8864751"}, {"ref": "abhijithchandradas/linearregressionmodel", "kernel_id": "8911127"}, {"ref": "abhijithchandradas/eda-and-forcast-polynomial-linear-regression", "kernel_id": "8950459"}, {"ref": "ashrithsher/kernel50f8c26470", "kernel_id": "8942660"}, {"ref": "ashrithsher/kernel3200f1835e", "kernel_id": "8977940"}, {"ref": "clodette0071/kernel74af024417", "kernel_id": "8946235"}, {"ref": "itsbitan/covid-19-week-4", "kernel_id": "8852132"}, {"ref": "mgexposito/covid-19-forecasting-spain", "kernel_id": "8892936"}, {"ref": "jaehooncha/kernel85b2e344a4", "kernel_id": "8949011"}, {"ref": "jaehooncha/kernel553798e182", "kernel_id": "8949715"}, {"ref": "khotijahs1/covid19-global-forecasting-week-4", "kernel_id": "8867294"}, {"ref": "aryan9600/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8858586"}, {"ref": "aestheteaman01/covtan-covid-19-timeseries-analysis-notebook", "kernel_id": "8838500"}, {"ref": "wjburns/covid-19-deaths-per-country", "kernel_id": "8528162"}, {"ref": "arnadu/sir-with-intervention", "kernel_id": "8689040"}, {"ref": "arnadu/sir-with-intervention-v2", "kernel_id": "8948359"}, {"ref": "arnadu/sir-local-calibration", "kernel_id": "8999063"}, {"ref": "sandeepksb/covid19-forecasting", "kernel_id": "8896085"}, {"ref": "ilu000/arima-week-4", "kernel_id": "8929289"}, {"ref": "shaolong2019/covid-19-prediction-with-random-forest-regressor", "kernel_id": "8901233"}, {"ref": "wdyreborn/xgboost-regression", "kernel_id": "8832998"}, {"ref": "soham1024/covid-19-india-visualization-forecasting", "kernel_id": "8834175"}, {"ref": "soham1024/covid-19-usa-visualization-forecasting", "kernel_id": "8987859"}, {"ref": "rohanpotru/iterative", "kernel_id": "8947045"}, {"ref": "pritha21/covid-19-week-4", "kernel_id": "8884681"}, {"ref": "hikne707/covid-19-global-forecasting-week-4", "kernel_id": "8943962"}, {"ref": "hikne707/week-4-rnn", "kernel_id": "8887866"}, {"ref": "mohitranjan18/basic-eda-xgboost", "kernel_id": "8956849"}, {"ref": "shakshisharma/kernel7ac1e9133f", "kernel_id": "8912300"}, {"ref": "ahmedewida/covid-19-week4-lstm-ridge", "kernel_id": "8834713"}, {"ref": "kowjan1/nn-cig-alco-nolog1p-tail50", "kernel_id": "8926233"}, {"ref": "jamesjiang2019/covid-19-visualization-arima-prediction", "kernel_id": "8919067"}, {"ref": "omegaji/covid-19-india-maps-eda-xgboost", "kernel_id": "8861687"}, {"ref": "jesucristo/lgbm-best-w3", "kernel_id": "8948488"}, {"ref": "jesucristo/w4-lgb-mad", "kernel_id": "8950200"}, {"ref": "khanalkiran/covid19-global-week4-sir-model", "kernel_id": "8842834"}, {"ref": "rajeevkumar07/kernel52f5035e2c", "kernel_id": "8897357"}, {"ref": "czyum26/covid-19-forecasting-using-elasticnet-iii", "kernel_id": "8834880"}, {"ref": "cthierfelder/kernel755e4cfa58", "kernel_id": "8923187"}, {"ref": "frlemarchand/covid-19-forecasting-with-an-rnn", "kernel_id": "8594697"}, {"ref": "saga21/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8474295"}, {"ref": "prashant268/covid-19-week4-xgboost", "kernel_id": "8856422"}, {"ref": "prashant268/covid-19-forecasting-with-sarima-model", "kernel_id": "8888654"}, {"ref": "rajatvaghela/covid-19-data-visualization", "kernel_id": "8937068"}, {"ref": "akshitsharma206/covid-19-week-4-another-attempt", "kernel_id": "8937596"}, {"ref": "akshitsharma206/covid-19-week-4-trying-to-get-in-top-10", "kernel_id": "8914867"}, {"ref": "akshitsharma206/trying-to-get-to-top-with-xgboost-covid-19-week-4", "kernel_id": "8915529"}, {"ref": "akshitsharma206/deploying-lgbm-covid-19-week-4", "kernel_id": "8915333"}, {"ref": "akshitsharma206/covid-19-week-4-xgboost", "kernel_id": "8914040"}, {"ref": "akshitsharma206/covid-19-week-4-eda", "kernel_id": "8880180"}, {"ref": "benbla/fork-of-covid-19-linear-regression-and-arima", "kernel_id": "8950098"}, {"ref": "benbla/covid-19-linear-regression-and-arima", "kernel_id": "8861086"}, {"ref": "nilanshk/covid-19-w4-2", "kernel_id": "8889210"}, {"ref": "dropries/arima-w4", "kernel_id": "8943604"}, {"ref": "kirangurumukhi/kernel30100af77a", "kernel_id": "8917362"}, {"ref": "esotericazzo/week-4-analysis-model", "kernel_id": "8843913"}, {"ref": "esotericazzo/xgbregressor-model", "kernel_id": "8927136"}, {"ref": "nitbrok/covid-19-w4", "kernel_id": "8834249"}, {"ref": "basselkassem/covid19-week4", "kernel_id": "8878638"}, {"ref": "takiyu/arima-week4", "kernel_id": "8889295"}, {"ref": "tigeriv/covidweek4deeplearning", "kernel_id": "8841871"}, {"ref": "buitri91/kernel3b4f6b7d47", "kernel_id": "8949221"}, {"ref": "gluzman/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8910937"}, {"ref": "gluzman/covid19-explained-through-visualizations", "kernel_id": "8926910"}, {"ref": "raviyadav2398/covid19-global-forecasting-week4", "kernel_id": "8855162"}, {"ref": "malkodee/covid-19-eda-time-series-forecast-week-4", "kernel_id": "8916106"}, {"ref": "harrybarry/covid-19-data-analysis-learn-talk-tech-surrey", "kernel_id": "8930797"}, {"ref": "mubarak2000/baseline", "kernel_id": "8910707"}, {"ref": "deeshantk/kernel67902d0a4f", "kernel_id": "8828636"}, {"ref": "muhammad4hmed/go-carona-go", "kernel_id": "8845481"}, {"ref": "jdidiboujneh1/covid-19-ml2project", "kernel_id": "8857648"}, {"ref": "jdidiboujneh1/kernel6c86f0d216", "kernel_id": "8953563"}, {"ref": "johnjdavisiv/covid19-week-4-dual-gamms-again", "kernel_id": "8934833"}, {"ref": "hamsterherder/covid-19-forecasting-with-an-rnn", "kernel_id": "8931902"}, {"ref": "taku37/covid19-week-4-prediction-with-fitting", "kernel_id": "8875491"}, {"ref": "lomen0857/covid19-prediction-using-only-train-data-w4", "kernel_id": "8951002"}, {"ref": "lomen0857/covid19-w4-prediction-using-only-train-data", "kernel_id": "8951082"}, {"ref": "lomen0857/covid-19-prediction-using-only-train-data-week4", "kernel_id": "8938649"}, {"ref": "lomen0857/covid-19-forecasting-w4", "kernel_id": "8923403"}, {"ref": "harshilgohel/covid-19-forecasting", "kernel_id": "8994422"}, {"ref": "coolmancommet/corona-v", "kernel_id": "8839505"}, {"ref": "alexkhrystoforov/covid-19", "kernel_id": "8907929"}, {"ref": "alexkhrystoforov/kernel2e512d4a60", "kernel_id": "8938997"}, {"ref": "mrmorj/covid-19-sarima-week4", "kernel_id": "8939499"}, {"ref": "eswarchandt/covid-19-forecasting-xgboost-week-4", "kernel_id": "8833162"}, {"ref": "eswarchandt/timeseries-forecasting-of-covid-19-arima", "kernel_id": "8833171"}, {"ref": "eswarchandt/covid-19-week-4-eda", "kernel_id": "8833230"}, {"ref": "aniket165/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "8852576"}, {"ref": "aniket165/covid-19-forecasting-xgboost-week-4", "kernel_id": "8853768"}, {"ref": "aniket165/visualizations", "kernel_id": "8848691"}, {"ref": "sameer200124/covid-19-case-study-analysis-visualiz-plots", "kernel_id": "8990581"}, {"ref": "ruzgol/covid-19-lgbm", "kernel_id": "8848626"}, {"ref": "kaniya/covid-global-forecast-sir-xgboost", "kernel_id": "8625481"}, {"ref": "vlomme/russian-baseline", "kernel_id": "8789095"}, {"ref": "chandelmannu7/kernel493b5dcc7e", "kernel_id": "8902906"}, {"ref": "artem99/scipy", "kernel_id": "8865512"}, {"ref": "kinkpunk/my-forecasting-covid19-ver-3-week-4", "kernel_id": "8913821"}, {"ref": "folk85/covid-19-forecast-test-week-4", "kernel_id": "8913639"}, {"ref": "aimanj/covid19-after-national-quarantine-old", "kernel_id": "8854493"}, {"ref": "abhishekkumkar/xgboost-algo", "kernel_id": "8859132"}, {"ref": "carolzhang/week4-logistic-exponential-linear-models", "kernel_id": "8950377"}, {"ref": "luweijia2heather/covidsigmoid", "kernel_id": "8950999"}, {"ref": "dmitri9149/kernel6e5cd78771-logistic", "kernel_id": "8946881"}, {"ref": "dmitri9149/kernel17c4d0094e-sarima", "kernel_id": "8946110"}, {"ref": "davidbnn92/weather-data", "kernel_id": "8483238"}, {"ref": "binhlc/sars-cov-2-week-4", "kernel_id": "8909598"}, {"ref": "resheto/covid-19-week-4-with-weather-and-response-data", "kernel_id": "8937403"}, {"ref": "pstarszyk/week4sub", "kernel_id": "8932683"}, {"ref": "davidistrati/covid-19-multilevel", "kernel_id": "8789394"}, {"ref": "fakeplasticearth/kernel185842553f", "kernel_id": "8989671"}, {"ref": "wuhong60909/nonlinear-regression-gompertz-model-2020-4-22", "kernel_id": "8921864"}, {"ref": "vlachospyros/sep-lstm", "kernel_id": "8926768"}, {"ref": "mdomarfaruque/covid19-forcasting-for-bangladesh", "kernel_id": "8951308"}, {"ref": "adegladius/kaggle-covid-19-forecasting-using-elasticnet", "kernel_id": "8889367"}, {"ref": "srijeev1/canadian-province-analysis-covid-19", "kernel_id": "8884450"}, {"ref": "yuanque/sir-seir-model-for-covid19-global-forecast", "kernel_id": "8872750"}, {"ref": "brandonliang/recurrent-neural-network-for-covid-19-prediction", "kernel_id": "8967428"}, {"ref": "molecman/utah-covid-19-sirhd-model-for-competition", "kernel_id": "8935907"}, {"ref": "meenakshiramaswamy/covid-wk4-multiple-data-sources-xgboost", "kernel_id": "8888866"}, {"ref": "patrickssfuchs/deep-learning-lmu-unit-week-4", "kernel_id": "8948192"}, {"ref": "razasaleemi/covid19-global-forecasting-week4", "kernel_id": "8905476"}, {"ref": "kirderf/all-in-super-average-over-900-models-v2", "kernel_id": "8948409"}, {"ref": "kirderf/ridgecv-ns-7ave-ns-7avev2noswal15-week4", "kernel_id": "8839588"}, {"ref": "janetht/linearregressionmodel", "kernel_id": "8936829"}, {"ref": "ranjithks/ran-covid-19-week4-ma", "kernel_id": "8833979"}, {"ref": "ranjithks/ran-covid-19-week4", "kernel_id": "8833004"}, {"ref": "ranjithks/ran-covid-19-week4-polyreg", "kernel_id": "8901885"}, {"ref": "paulmorganaus/simple-sigmoid-week4", "kernel_id": "8866466"}, {"ref": "ranjitharamesh/covid-19-analysis-cmpsc-465", "kernel_id": "8953292"}, {"ref": "anatidae/kernel4bb86d5837", "kernel_id": "8950684"}, {"ref": "anatidae/kernel6dfdc0cf21", "kernel_id": "8950723"}, {"ref": "anatidae/kernel5907f32e13", "kernel_id": "8950550"}, {"ref": "anatidae/kernel45a758d627", "kernel_id": "8950393"}, {"ref": "mohres/covid-19-week-4", "kernel_id": "8880217"}, {"ref": "gongas/gongaslate2thepartysir", "kernel_id": "8936149"}, {"ref": "sophiasusanraju/covid-week-4-v2-randomforest", "kernel_id": "8900849"}, {"ref": "sophiasusanraju/covid-prediction-week4-v1", "kernel_id": "8900801"}, {"ref": "vincentwang25/seir-hcd-model-age-distribution", "kernel_id": "8891156"}, {"ref": "sithlord0121/steve-w-rnn-model", "kernel_id": "8901850"}, {"ref": "pengchencharles/covid-data-prediction-copy", "kernel_id": "8899036"}, {"ref": "hsuanchunlin/lstm-practice", "kernel_id": "8879524"}, {"ref": "divyacnambiar/covid-19-using-random-forest", "kernel_id": "8846894"}, {"ref": "keyehang/covid-19-forecasting-with-an-rnn", "kernel_id": "8931521"}, {"ref": "jawahm/tutorial-run", "kernel_id": "8937240"}, {"ref": "bhumiharrakeshsharma/covid-19-week-4", "kernel_id": "8965017"}, {"ref": "haplophyrne/ensemble", "kernel_id": "8811932"}, {"ref": "haplophyrne/week-4-ensemble", "kernel_id": "8936212"}, {"ref": "darshanjain29/xgboost-regressor-solution-covid19-week-4", "kernel_id": "8854515"}, {"ref": "darshanjain29/bagging-regressor-solution-covid19-week-4", "kernel_id": "8843750"}, {"ref": "ethankolkmeier/kernel607dcf502a", "kernel_id": "8936336"}, {"ref": "jontyvani/cv19-fbprophet-group-forecast", "kernel_id": "8937531"}, {"ref": "seuvitor/covid-19-week-4", "kernel_id": "8861344"}, {"ref": "nishantpatyal/covid-19-with-the-help-of-gbclassifier", "kernel_id": "8878269"}, {"ref": "nishantpatyal/lightgbm", "kernel_id": "8913187"}, {"ref": "panagiotisgkanos/tsopanos", "kernel_id": "8925198"}, {"ref": "bernhardklinger/kernel352b1d581a", "kernel_id": "8857484"}, {"ref": "rajatk9962/kernel6a8f2f586b", "kernel_id": "8835463"}, {"ref": "syzymon/covid19-tabnet-fast-ai-baseline", "kernel_id": "8834329"}, {"ref": "syzymon/covid19-fast-ai-tabnet", "kernel_id": "8870049"}, {"ref": "dktalaicha/covid-19-forecasting-week-4-arima", "kernel_id": "8867279"}, {"ref": "aisuluuosmonova/covid-19-worldwide-analysing-and-visualisation", "kernel_id": "8984672"}, {"ref": "marwaguemira/model-xgbr", "kernel_id": "8859456"}, {"ref": "marwaguemira/kernel7c54edfe4b", "kernel_id": "8940320"}, {"ref": "atharvachute/simple-polynomial-regression-model", "kernel_id": "8835344"}, {"ref": "mdmahmudferdous/covid-19-global-forecasting-4-lasso-polynomial", "kernel_id": "8872642"}, {"ref": "ben975/xgboost-v2", "kernel_id": "8950075"}, {"ref": "williamsabodunrin/kernel6c0cb2513b", "kernel_id": "8895998"}, {"ref": "williamsabodunrin/kernel29abb02853", "kernel_id": "8932463"}, {"ref": "ashutosh619sudo/forecasting-covid-19", "kernel_id": "8883677"}, {"ref": "kunwoochang/covid19-prediction-with-nn", "kernel_id": "8946149"}, {"ref": "henrychinaski/kernel5395dd0f14", "kernel_id": "8966307"}, {"ref": "henrychinaski/covid-19-week-4-polynomial", "kernel_id": "8859464"}, {"ref": "caodai/week4-1", "kernel_id": "8921145"}, {"ref": "tathagatbanerjee/covid-19-global-eda-forecast-4", "kernel_id": "8918962"}, {"ref": "pearlprime/forecasting-with-xgbregressor", "kernel_id": "8939520"}, {"ref": "smutishiktadas/covid19-analysis-odisha", "kernel_id": "8923271"}, {"ref": "smutishiktadas/covid19-forecasting-in-india", "kernel_id": "8919731"}, {"ref": "ankurchakraborty/covid19-global-forecasting-week-4-visualization", "kernel_id": "8836056"}, {"ref": "ihebmensi1/covid-19-simple-explory-data-analysis", "kernel_id": "8841139"}, {"ref": "ggiuffre/sigmoidal-fit", "kernel_id": "8907995"}, {"ref": "berkaycihan/map-with-covid-19-epicenter-data-in-worldwide", "kernel_id": "8947368"}, {"ref": "drcyle/kernel209fec2b31", "kernel_id": "8947906"}, {"ref": "nicolasmalloy/covid-19-time-series-forecasting", "kernel_id": "8985966"}, {"ref": "nicolasmalloy/covid-19-ml-models", "kernel_id": "8986466"}, {"ref": "kishores4200/covid19-forecasting-challenge-week4", "kernel_id": "8844569"}, {"ref": "silverstorm/covid-forecasting-script", "kernel_id": "8844314"}, {"ref": "nonstochastic147/covid-19-week-4", "kernel_id": "8940261"}, {"ref": "andreiamateus/covid19-data-visualization-week-4-with-plotly", "kernel_id": "8897041"}, {"ref": "lalasadheekollu/trmf-with-clusters", "kernel_id": "8863483"}, {"ref": "lalasadheekollu/trmf-recent", "kernel_id": "8946595"}, {"ref": "lisphilar/combination-of-fitting-and-math-model-week-4", "kernel_id": "8910010"}, {"ref": "lisphilar/combination-of-logistic-sir-f-week-4", "kernel_id": "8910174"}, {"ref": "gamishilbhaakilan/covid19-global-forecasting-week-4", "kernel_id": "8907792"}, {"ref": "shubhankartiwari/covid-19-forecast", "kernel_id": "8925441"}, {"ref": "mielek/covid19-forecasting-xgboost", "kernel_id": "8875937"}, {"ref": "johnprasanth/sarima-forecasting-week4", "kernel_id": "8828686"}, {"ref": "johnprasanth/covid-boost-forecasting", "kernel_id": "8932218"}, {"ref": "abiolasalau/simple-covid19-week-4-prediction-with-xgbregressor", "kernel_id": "8897052"}, {"ref": "kdosyr/covid19-global-wk4", "kernel_id": "8915023"}, {"ref": "javadiva/kernel5158dc4d98", "kernel_id": "8863612"}, {"ref": "javadiva/kernel49e19a4413", "kernel_id": "8863571"}, {"ref": "javadiva/kernel179866683b", "kernel_id": "8862394"}, {"ref": "javadiva/kernel6adc53efb6", "kernel_id": "8865306"}, {"ref": "ekzemplaro/covid19-week04-apr15", "kernel_id": "8899155"}, {"ref": "leovdw/kernel7e26c7202f", "kernel_id": "8915348"}, {"ref": "lexcalibur/learning1", "kernel_id": "8858359"}, {"ref": "seaofstars/kernel480807e23c", "kernel_id": "8918106"}, {"ref": "seaofstars/fork-of-kernel16e9ef2435", "kernel_id": "8937958"}, {"ref": "madz2000/simple-covid19-week-4-prediction-with-xgbregressor", "kernel_id": "8835600"}, {"ref": "henrifroese/final-notebook-seircd", "kernel_id": "8922765"}, {"ref": "priyankakondaparthii/covid-global-forecast", "kernel_id": "8949323"}, {"ref": "xiaojucui/kernel6a24262cba", "kernel_id": "8917828"}, {"ref": "mustaphayinkayusuf/kernel745a756388", "kernel_id": "8849478"}, {"ref": "siddheshmahajan/mini-project-svm-predictions", "kernel_id": "8870179"}, {"ref": "eugenedobrovolskyi/evgdobr-covid19-w4-ensemble", "kernel_id": "8838221"}, {"ref": "anirudhhatiwari/ml-sp20-anirudhhamahant-wk4", "kernel_id": "8850071"}, {"ref": "garg1072/covid-week-4", "kernel_id": "8899460"}, {"ref": "omezario/covid-prediction-training", "kernel_id": "8876438"}, {"ref": "sadiakhalil/covid-19-global-eda-forecast-2", "kernel_id": "8606971"}, {"ref": "stealthflow/week4-osciiart-happiness", "kernel_id": "8938366"}, {"ref": "liujialing2020/week4", "kernel_id": "8874062"}, {"ref": "robertolandi/sequence-to-sequence-model", "kernel_id": "8881509"}, {"ref": "aratrikabiswas/covid-19-analysis-with-visualization", "kernel_id": "8919793"}, {"ref": "milantripathi/covid19-forecastingfinetuningpycarat", "kernel_id": "8938024"}, {"ref": "milantripathi/covid19-forecasting", "kernel_id": "8872946"}, {"ref": "blackmantis/kernel65f8192b51", "kernel_id": "8879704"}, {"ref": "paralleltree/covid19-simple-country-visualization", "kernel_id": "8606559"}, {"ref": "paralleltree/covid19-simple-logistic-fitting-week4", "kernel_id": "8891014"}, {"ref": "ronakbadhe/fork-of-logisticcovid", "kernel_id": "8937016"}, {"ref": "ronakbadhe/logistic-xgboost", "kernel_id": "8915038"}, {"ref": "tejaspatel1094/covid-19-gobal-forecasting", "kernel_id": "8911710"}, {"ref": "vrushabhlengade/kernel83b3e391d6", "kernel_id": "8878117"}, {"ref": "datahadi/covid19-global-forecasting-week-4", "kernel_id": "8832221"}, {"ref": "mandeep2/kernel125ae70533", "kernel_id": "8918528"}, {"ref": "sohaibmian/bi-dir-lstm-time-series-forecasting-for-new-york", "kernel_id": "8873584"}, {"ref": "irfansumapraja/covid-19-with-polynomial-regression", "kernel_id": "8912259"}, {"ref": "paoloinglese/sigmoid-fit-fatalities-cases-dependency-v2", "kernel_id": "8872736"}, {"ref": "paoloinglese/sigmoid-fit-fatalities-cases-dependency-week4", "kernel_id": "8836961"}, {"ref": "divyacn/covid-19-deathprediction-arima", "kernel_id": "8846103"}, {"ref": "yougeshr/kernel6d8317ef12", "kernel_id": "8844575"}, {"ref": "pragyarathore/model-1-simple-linear-regression", "kernel_id": "8897459"}, {"ref": "pragyarathore/xgb-regression", "kernel_id": "8902236"}, {"ref": "varsinibalasundaram/kernel6a5daeed2b", "kernel_id": "8950332"}, {"ref": "varsinibalasundaram/ee257-sp20-varsinilavanya", "kernel_id": "8948786"}, {"ref": "usamanathani/covid19-xbg", "kernel_id": "8950841"}, {"ref": "wenyuc/kernel578f4ff14c", "kernel_id": "8869297"}, {"ref": "pradeepkumarrajkumar/covid19-submission1", "kernel_id": "8868955"}, {"ref": "aarushimehrotra/lstm-covid", "kernel_id": "8897229"}, {"ref": "rojinzandi/covid19-visualization-regression", "kernel_id": "8985921"}, {"ref": "rojinzandi/data-visualization-and-regression", "kernel_id": "8931001"}, {"ref": "ee257sp20darshan/darshan-s-r-ee257-ml-sp20", "kernel_id": "8921843"}, {"ref": "ee257sp20darshan/darshan-s-r-sp20-ee257-p", "kernel_id": "8940761"}, {"ref": "anushreemanoharan/kernel23ed1e897a", "kernel_id": "8933331"}, {"ref": "lorenzorota23/predicting-covid-19-with-lstm", "kernel_id": "8860340"}, {"ref": "lorenzorota23/fork-of-predicting-covid-19-with-lstm", "kernel_id": "8922083"}, {"ref": "ee257sp20madhuarjun/randomforest", "kernel_id": "8930820"}, {"ref": "ee257sp20madhuarjun/knn-week4", "kernel_id": "8930634"}, {"ref": "helloaashish/kerneleebfdbc100", "kernel_id": "8881451"}, {"ref": "ee257sp20arjunmadhu/kernel172938695f", "kernel_id": "8929919"}, {"ref": "ee257sp20hinashruti/covid-19-week4", "kernel_id": "8932557"}, {"ref": "shashankponugoti/csce-5300-covid", "kernel_id": "8932921"}, {"ref": "dennischhun/covid19-week-4-beginner-machine-learning-project", "kernel_id": "8930445"}, {"ref": "ee257sp20nivedha/kernel74981b9c74", "kernel_id": "8901950"}, {"ref": "jonathanbilstein/covid-19-forecast-of-infections-and-fatalities", "kernel_id": "8927187"}, {"ref": "rushisavulge/stay-safe", "kernel_id": "8937445"}, {"ref": "rushisavulge/justdoit", "kernel_id": "8936866"}, {"ref": "gunavardhanjakkidi/covid19week4", "kernel_id": "8847829"}, {"ref": "gunavardhanjakkidi/secondapp", "kernel_id": "8851021"}, {"ref": "sudhaguda/kernel49e2e06c4a", "kernel_id": "8951219"}, {"ref": "akramgharbi/kernel2a96582a53", "kernel_id": "8857768"}, {"ref": "stevetueno/kernel6f2254b11c", "kernel_id": "8866974"}, {"ref": "stevetueno/kernel265ddaaae6", "kernel_id": "8900679"}, {"ref": "jagdishkatariya/covid-19-week-4", "kernel_id": "8949826"}, {"ref": "akimiyano/v1-covid19-global-forecasting-week-4", "kernel_id": "8937435"}, {"ref": "kolukulurivijaya/kernel5076923856", "kernel_id": "8926708"}, {"ref": "kolukulurivijaya/fork-of-kernel5076923856", "kernel_id": "8927060"}, {"ref": "kolukulurivijaya/kernel64fe61f934", "kernel_id": "8921859"}, {"ref": "harshavardhangoli/danger-dc-fans", "kernel_id": "8966516"}, {"ref": "deluzhao/kernel16f748ae51", "kernel_id": "8949363"}, {"ref": "simonpetertandi/kernel14d11c644d", "kernel_id": "8949486"}, {"ref": "simonpetertandi/kaggleassignment", "kernel_id": "8950040"}, {"ref": "ee257sp20subhashree/covid-19-global-forecasting", "kernel_id": "8950553"}, {"ref": "gaborfodor/covid19-submission-analysis", "kernel_id": "9024406"}, {"ref": "gaborfodor/comparing-covid19-benchmarks-log-scale", "kernel_id": "9141975"}, {"ref": "inversion/comparing-covid19-benchmarks", "kernel_id": "9137074"}, {"ref": "inversion/covid-19-model-predictions-over-time", "kernel_id": "9347015"}, {"ref": "cnygaard/covid-19-predictions-growth-factor-and-calculus", "kernel_id": "9015943"}, {"ref": "yohancheong/forecasting-covid-19-infections-cnn-lstm", "kernel_id": "9022304"}, {"ref": "uzairadamjee/analyze-forecasting-covid-19-data", "kernel_id": "9014371"}, {"ref": "sasrdw/comparing-covid19-benchmarks", "kernel_id": "9149207"}, {"ref": "rahatkutubi/analysis-of-2019-ncov-infection-and-spread", "kernel_id": "9224546"}, {"ref": "aysunbo/forecasting-with-prophet", "kernel_id": "9036212"}, {"ref": "ishivinal/covid-19-analysis-visualizations-predictions", "kernel_id": "9266537"}, {"ref": "zunoor/covid19-global-eda-and-ts-prediction-for-pakistan", "kernel_id": "9194534"}, {"ref": "a442412719/lstm-with-country-features", "kernel_id": "9126030"}, {"ref": "a442412719/xgboost-with-weather-population-features-and-arima", "kernel_id": "9029414"}, {"ref": "shaswata97/kernel6a5ba2d459", "kernel_id": "9050418"}, {"ref": "shaswata97/kernel179775887b", "kernel_id": "9047113"}, {"ref": "shaswata97/covid-hybrid", "kernel_id": "9075837"}, {"ref": "eluzquadros/geointinscer-kalman-r-privatescore-0-03689", "kernel_id": "9283431"}, {"ref": "vladlee/covid-19-week-4-xgb", "kernel_id": "9264856"}, {"ref": "cristianfat/looking-for-covid", "kernel_id": "9023347"}, {"ref": "revanthrex/saudi-arabia-covid-19-forecasting", "kernel_id": "9466620"}, {"ref": "woshifym/time-series-lstm-forecasting-without-external-data", "kernel_id": "9030702"}, {"ref": "atompg/sir-india", "kernel_id": "9015257"}, {"ref": "jackinalltrade/realtime-india-covid19-visualization", "kernel_id": "9219959"}, {"ref": "giginghn/covid19-analysis-seir-model", "kernel_id": "9001546"}, {"ref": "giginghn/weather-data-week-4", "kernel_id": "9001589"}, {"ref": "echo9k/covid-19-analytics-using-growth-factor", "kernel_id": "9650629"}, {"ref": "arnadu/sir-local-calibration-hospitalization", "kernel_id": "9118288"}, {"ref": "arnadu/sir-local-calibration-dashboard", "kernel_id": "9137513"}, {"ref": "arnadu/seirf-piecewise-linear-contact-rate-lmfit", "kernel_id": "9853982"}, {"ref": "shunsuke218/covid19-global-forecasting", "kernel_id": "9088450"}, {"ref": "dssuyog/covid19-global-forecasting-week-4", "kernel_id": "9061335"}, {"ref": "soham1024/world-economy-due-to-covid-19", "kernel_id": "9259131"}, {"ref": "gorewa/covid-19-predictions-xgboost", "kernel_id": "9233252"}, {"ref": "abhishekphoenixz/covid19-forecasting", "kernel_id": "9223368"}, {"ref": "sumanthbharadwaj1634/india-covid-19-visualisation", "kernel_id": "9354399"}, {"ref": "hackboom/covid", "kernel_id": "9326369"}, {"ref": "sureshmecad/covid-19-global-forecast-week4", "kernel_id": "9299601"}, {"ref": "sanjeevtgeorge/covid19-week-4-ts", "kernel_id": "9011798"}, {"ref": "loleiying/covid-week4", "kernel_id": "9326479"}, {"ref": "loleiying/covid-regression", "kernel_id": "9046915"}, {"ref": "hotstaff/regional-differences-in-the-virus-growth-rate", "kernel_id": "9126371"}, {"ref": "vishumudgal/covid19-visuals-doubling-rate", "kernel_id": "9188648"}, {"ref": "moon9439/seir-model-of-covid19-and-analysis", "kernel_id": "9285477"}, {"ref": "n1sarg/covid-19-eda-and-forecasting", "kernel_id": "9024912"}, {"ref": "jay00174/covid-19-india-story", "kernel_id": "9144832"}, {"ref": "aniket165/regression-with-xgb-decision-tree", "kernel_id": "9484759"}, {"ref": "aniket165/poly-regression-with-n-degrees", "kernel_id": "9483543"}, {"ref": "aniket165/simple-linear-regression", "kernel_id": "9483953"}, {"ref": "aniket165/polynomial-fit-xgb", "kernel_id": "9032088"}, {"ref": "nicolaorlandowork/covid19-global-forecasting-based-on-bayesianridge", "kernel_id": "9349274"}, {"ref": "ruzgol/covid-19-week4-lstm-ridge", "kernel_id": "9160887"}, {"ref": "wuhong60909/logistic-growth-model-2020-04-22", "kernel_id": "9091029"}, {"ref": "ving2000/covid19-week-4", "kernel_id": "9015331"}, {"ref": "mano2891/kernel5701ff262b", "kernel_id": "9145636"}, {"ref": "kirderf/ensemble-short-long-term-models-indeweight-lock-p", "kernel_id": "9188007"}, {"ref": "kirderf/ensemble-of-the-top-5", "kernel_id": "9206098"}, {"ref": "kirderf/ensemble-short-long-term-indeweight-lock-oshaya-pp", "kernel_id": "9206171"}, {"ref": "kirderf/ensemble-short-long-term-models-lock-pp-weight-5", "kernel_id": "9206325"}, {"ref": "kirderf/ensemble-short-long-term-models-indeweight-pp-lock", "kernel_id": "9207552"}, {"ref": "ketuna88/covid19-lstm-forecasting", "kernel_id": "9098784"}, {"ref": "ranjitharamesh/ist-510-covid-trend-analysis", "kernel_id": "9105236"}, {"ref": "futbolanalysr/covid-19-data-exploration", "kernel_id": "9013062"}, {"ref": "leehyoungwook/covid19-week4-prediction-xgbreg-edit", "kernel_id": "9046380"}, {"ref": "rikideguchi/covid-19-analysis", "kernel_id": "9036069"}, {"ref": "vyacheslav888/covid19-randomforest-xgboost-etc", "kernel_id": "9243516"}, {"ref": "chandra03/covid-19-week-4", "kernel_id": "9078050"}, {"ref": "suubpy/covid-19-analysis-models-with-scikit-learn", "kernel_id": "9289649"}, {"ref": "suubpy/covid-19-visualizations-and-ml-models", "kernel_id": "9959502"}, {"ref": "tmchls/covid-19-week-4-world-analysis", "kernel_id": "9454772"}, {"ref": "domchanjl/nowsave", "kernel_id": "9152913"}, {"ref": "andyyh/covid-19-in-denmark-and-the-world", "kernel_id": "9280857"}, {"ref": "anirudhhatiwari/ee257-ml-anirudhhamahant", "kernel_id": "9330992"}, {"ref": "yifeiqian/kernel717839661f", "kernel_id": "9175180"}, {"ref": "solyoh21/covid19-w8", "kernel_id": "9158303"}, {"ref": "solyoh21/comparing-ircombala", "kernel_id": "9158027"}, {"ref": "solyoh21/covid19-w4-2", "kernel_id": "9157911"}, {"ref": "solyoh21/covid19-w4", "kernel_id": "9157963"}, {"ref": "gauss1809/predicting-covid19-using-vars-vector-autoreg", "kernel_id": "9150155"}, {"ref": "yougeshr/kernel7121d6d355", "kernel_id": "9042504"}, {"ref": "yougeshr/kernel58bbd19f1f", "kernel_id": "9083705"}, {"ref": "pragyarathore/model-2a-polynomial-regression", "kernel_id": "9275449"}, {"ref": "pragyarathore/data-visualization-and-fe", "kernel_id": "9119382"}, {"ref": "pragyarathore/model-3-xgb-regression", "kernel_id": "9123572"}, {"ref": "pragyarathore/model-2-polynomial-fit-xgb", "kernel_id": "9006167"}, {"ref": "pradeepkumarrajkumar/m3-xgb-djp", "kernel_id": "9005602"}, {"ref": "pradeepkumarrajkumar/m3-xgboost-djp", "kernel_id": "9539570"}, {"ref": "pradeepkumarrajkumar/m3-xgb-djp-a", "kernel_id": "9485033"}, {"ref": "pradeepkumarrajkumar/m2-poly-djp", "kernel_id": "9485961"}, {"ref": "pradeepkumarrajkumar/m1-linear-djp", "kernel_id": "9513603"}, {"ref": "ramandeepjagdev/week-4", "kernel_id": "9003441"}, {"ref": "kusanag1/kernel1fb1c2c16a", "kernel_id": "9206678"}, {"ref": "mohammaddilshad/covid19-explained-through-visualizations", "kernel_id": "9351428"}, {"ref": "zhangdaotong/covid11", "kernel_id": "9840859"}, {"ref": "nichasakulyuenyong/fe-panel-regression", "kernel_id": "9584847"}, {"ref": "phakphumj/5904640876", "kernel_id": "9497409"}, {"ref": "akhilsai11/kernel3061d7be2f", "kernel_id": "9242297"}, {"ref": "kensakamoto/kernel39fff6669c", "kernel_id": "9229603"}, {"ref": "trisornt/ts-for-am", "kernel_id": "9476313"}, {"ref": "kalinybarra/covid-19-forecasting-with-an-rnn", "kernel_id": "9253647"}, {"ref": "lavanyakatta/covid-19-global-forecasting-4-lasso-polynomial", "kernel_id": "9520245"}, {"ref": "lavanyakatta/new-covid-week4", "kernel_id": "9521343"}, {"ref": "shalabh2906/exciting-research-trend-visualization-covid-19", "kernel_id": "9587879"}, {"ref": "mikumikumiku/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "9539171"}, {"ref": "hanshengchen0319/ai20s-germany-prediction", "kernel_id": "9991414"}, {"ref": "shaswata97/covid-lstm", "kernel_id": "10544944"}, {"ref": "revanthrex/covid-19-forecast-seir", "kernel_id": "10214188"}, {"ref": "sourire3223/fork-of-fork-of-ai20s-germany-prediction", "kernel_id": "10086342"}, {"ref": "fireheart7/covid-19-cases-prediction", "kernel_id": "10010020"}, {"ref": "arnadu/seirf-lmfit", "kernel_id": "10191581"}, {"ref": "nilanshk/covid-19-lstm-and-arima", "kernel_id": "10681302"}, {"ref": "aakashveera/covid-week4-overall", "kernel_id": "10499318"}, {"ref": "aakashveera/polynomial-regression", "kernel_id": "10558251"}, {"ref": "wangpiaohong/rnn-scut", "kernel_id": "10467885"}, {"ref": "hanshengchen0319/fork-of-fork-of-ai20s-germany-prediction", "kernel_id": "10077573"}, {"ref": "luyoucong/prmodle-week4", "kernel_id": "10696526"}, {"ref": "luyoucong/rf-covid19-week4", "kernel_id": "10716550"}, {"ref": "luyoucong/xgboost-covid19-week4", "kernel_id": "10751567"}, {"ref": "abhiparashar/eda-covid-19-notebook-1", "kernel_id": "10112762"}, {"ref": "sergeydor/covid-19-forecasting-week-4", "kernel_id": "11640819"}, {"ref": "lamducanhndgv/final-project-math", "kernel_id": "11016666"}, {"ref": "dipesh80/covid-case-study", "kernel_id": "11549341"}, {"ref": "luyoucong/rfmodel-imporved-week4", "kernel_id": "11208248"}, {"ref": "rohit44022/covid-19-linear-regression", "kernel_id": "11347988"}, {"ref": "viktordorchenko/homework-l2-covid-19", "kernel_id": "11773607"}, {"ref": "chuprovandrey/covid-19-forecasting-week-4-c507ab", "kernel_id": "11939182"}, {"ref": "anujsoni/notebook2db2bc75e9", "kernel_id": "12172511"}, {"ref": "testerw/dsanet-approach", "kernel_id": "12724752"}, {"ref": "rohithkalvakota/project", "kernel_id": "12214803"}, {"ref": "allenzhang20/simple-covid19-week-4-prediction-with-xgbregressor", "kernel_id": "12343822"}, {"ref": "corochann/covid-19-current-situation-in-2021", "kernel_id": "13955343"}, {"ref": "loedyneilshan/hasselt-2b", "kernel_id": "13708250"}, {"ref": "loedyneilshan/notebook15cb4f3bda", "kernel_id": "13707749"}, {"ref": "timofeygalankin/hasselt-prog", "kernel_id": "13379429"}, {"ref": "priyaltaksari/the-story-of-covid-19-in-india-eda-and-prediction", "kernel_id": "14318127"}, {"ref": "rohith2303/mini-project-covid-19-eda-forecasting", "kernel_id": "14512608"}, {"ref": "shutupandsquat/covid19-explained-through-visualizations", "kernel_id": "14641764"}, {"ref": "xiongnei/fork-of-covid-global-forecast-sir-model-ml-regr", "kernel_id": "14306581"}, {"ref": "hongshitan/nustarcat", "kernel_id": "15162029"}, {"ref": "huhaolei/milestone1-eda-modelling-forecasting", "kernel_id": "15113533"}, {"ref": "yifanh1/covid19-improvement-classify", "kernel_id": "16423453"}, {"ref": "f20170223/covid-19-forecasting-with-an-rnn", "kernel_id": "16605185"}, {"ref": "adarsh140799/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "16591924"}, {"ref": "abhishekdagarit/covid-global-forecasting-week-4", "kernel_id": "17509215"}, {"ref": "luisjavierrt/notebooka5fd53c82e", "kernel_id": "17385087"}, {"ref": "hailielee/covid-global-forecasting-week4-ml-groupb", "kernel_id": "18452328"}, {"ref": "oriolvilamasip/arima-model-final", "kernel_id": "18422813"}, {"ref": "oriolvilamasip/auto-arima", "kernel_id": "18373169"}, {"ref": "paologueron/notebook9533bf5937", "kernel_id": "18447308"}, {"ref": "bbaabbaakk/covid19", "kernel_id": "20318335"}, {"ref": "ahmedadel6373/covid-19-week", "kernel_id": "20911493"}, {"ref": "rekhav19bce1871/review-1", "kernel_id": "20215298"}, {"ref": "rekhav19bce1871/forecasting-covid-19", "kernel_id": "20730790"}, {"ref": "chaqsa/covid-19-current-situation-in-2021", "kernel_id": "22069690"}, {"ref": "nimish17/the-story-of-covid-19-in-india-eda-and-prediction", "kernel_id": "25511976"}, {"ref": "naubergois/covid-19-forecasting-with-an-rnn", "kernel_id": "29494742"}, {"ref": "afreenmohsin/fork-of-covid-19-forecasting-with-an-rnn", "kernel_id": "32567723"}, {"ref": "ziqiwang0724/covid19-global-forecasting-wang-ziqi-22402063", "kernel_id": "32544407"}, {"ref": "umair3649/assignment-task", "kernel_id": "32907987"}, {"ref": "manindersingh97/covid-19-weekk-4", "kernel_id": "33032629"}, {"ref": "sanyamswami/covid-19-tabular-modelling", "kernel_id": "44810464"}, {"ref": "yinuofan6/covid-global-forecast-sir-model-ml-regressions", "kernel_id": "45039965"}, {"ref": "baqerhakim/feature-selection-by-lda-pca-and-svd", "kernel_id": "47634425"}, {"ref": "waleberhouma/covid-19-forecasting-with-an-rnn", "kernel_id": "49543033"}, {"ref": "ksmooi/covid-19-global-forecasting-xgb-regressor", "kernel_id": "71588501"}, {"ref": "sammnyujoshii/the-story-of-covid-19-in-india-eda", "kernel_id": "115364102"}]}
{"competition_id": "20018", "kernels": []}
{"competition_id": "20021", "kernels": []}
{"competition_id": "20023", "kernels": []}
{"competition_id": "20027", "kernels": [{"ref": "khalidmohamed/deep-learning-competition", "kernel_id": "9472811"}, {"ref": "khalidmohamed/fork-of-deep-learning-competition", "kernel_id": "11072133"}]}
{"competition_id": "20028", "kernels": []}
{"competition_id": "20031", "kernels": [{"ref": "diciaccio/kernel6728b0f86d", "kernel_id": "9013777"}, {"ref": "dretheone/fraud-detection-eda", "kernel_id": "10396214"}]}
{"competition_id": "20032", "kernels": [{"ref": "kymo9890/image-class", "kernel_id": "8896304"}]}
{"competition_id": "20036", "kernels": []}
{"competition_id": "20043", "kernels": []}
{"competition_id": "20046", "kernels": []}
{"competition_id": "20048", "kernels": []}
{"competition_id": "20049", "kernels": []}
{"competition_id": "20051", "kernels": []}
{"competition_id": "20057", "kernels": []}
{"competition_id": "20059", "kernels": []}
{"competition_id": "20064", "kernels": []}
{"competition_id": "20069", "kernels": []}
{"competition_id": "20071", "kernels": []}
{"competition_id": "20072", "kernels": []}
{"competition_id": "20075", "kernels": []}
{"competition_id": "20078", "kernels": [{"ref": "aakashveera/recognizance", "kernel_id": "10697304"}, {"ref": "aakashveera/traditional-approach-using-svm", "kernel_id": "10722726"}]}
{"competition_id": "20079", "kernels": []}
{"competition_id": "20082", "kernels": [{"ref": "code1110/ykc1-mlp-fast-ai-tabular-learner", "kernel_id": "9121949"}, {"ref": "sorashido/xgb-lgb-model", "kernel_id": "9166815"}, {"ref": "sorashido/yck-cup-eda", "kernel_id": "9093427"}, {"ref": "mrkmakr/ykc-cup-1st-lgbm-v3", "kernel_id": "9111095"}, {"ref": "mrkmakr/ykc-cup-1st-nn-v6", "kernel_id": "9107755"}, {"ref": "mrkmakr/ykc-cup-1st-starter", "kernel_id": "9090724"}, {"ref": "hatunina/adversarial-validation", "kernel_id": "9093398"}, {"ref": "hatunina/lgb-v1", "kernel_id": "9108562"}, {"ref": "peranto/cv0-3155-pb0-2918-rankmodel", "kernel_id": "9116210"}]}
{"competition_id": "20084", "kernels": []}
{"competition_id": "20085", "kernels": [{"ref": "mikhailhushchyn/kaggle-baseline", "kernel_id": "8979829"}, {"ref": "ivanrudenko/kernel6ec8b9a357", "kernel_id": "8975238"}]}
{"competition_id": "20090", "kernels": [{"ref": "vesperalevtina/accuracy-more-than-60", "kernel_id": "82576725"}]}
{"competition_id": "20091", "kernels": []}
{"competition_id": "20092", "kernels": []}
{"competition_id": "20096", "kernels": []}
{"competition_id": "20112", "kernels": []}
{"competition_id": "20126", "kernels": []}
{"competition_id": "20129", "kernels": []}
{"competition_id": "20131", "kernels": []}
{"competition_id": "20132", "kernels": [{"ref": "eremeevd/heavy-light-composition", "kernel_id": "9111118"}]}
{"competition_id": "20139", "kernels": []}
{"competition_id": "20140", "kernels": [{"ref": "kuantinglai/train-devise", "kernel_id": "8941243"}]}
{"competition_id": "20144", "kernels": [{"ref": "mittii/churn-predict-0-97777", "kernel_id": "10631877"}, {"ref": "sabyasachi10/telecom-customer-churn-smote-and-xgboost", "kernel_id": "12622508"}, {"ref": "nickrusso978/churn-prediction", "kernel_id": "13439537"}, {"ref": "bindiyasingh/customer-churn-prediction-with-catboost", "kernel_id": "14551387"}, {"ref": "architarora18/customer-churn-prediction-random-forest", "kernel_id": "14572019"}, {"ref": "mohitasr/ensemble-lgb", "kernel_id": "15731475"}, {"ref": "dudewhat/churn-prediction", "kernel_id": "15487151"}, {"ref": "codeautumn/customer-churns-model-comparison", "kernel_id": "15939022"}, {"ref": "devyacheslav/randomforest-customer-churn-prediction", "kernel_id": "17778715"}, {"ref": "sivakrishnathota/customer-churn-prediction-decision-tree-classifier", "kernel_id": "17025344"}, {"ref": "misrashashank/detailed-eda-model-0-968-classic-algorithms", "kernel_id": "18938973"}, {"ref": "aayushkubba/detailed-eda-model-0-968-classic-algorithms", "kernel_id": "19916993"}, {"ref": "dileepsahu/customer-churn-prediction-with-96-44-accuracy", "kernel_id": "19941870"}, {"ref": "milangabriel/churn-prediction-with-92-accuracy", "kernel_id": "20320380"}, {"ref": "oleksiisydorchuk/customer-churn-prediction-os", "kernel_id": "21524462"}, {"ref": "sleymanzeynul/churn-analysis-famous-trio-imbalanced-data-optuna", "kernel_id": "21825352"}, {"ref": "abanobmorgan/customer-churn-prediction", "kernel_id": "26485279"}, {"ref": "hodazein/notebook1b2c05f346", "kernel_id": "26076136"}, {"ref": "shirshmall/customer-churn-prediction-2020-final-shirsh", "kernel_id": "28766937"}, {"ref": "srushanthbaride2010/customer-churn-prediction-score-0-96000", "kernel_id": "30495948"}, {"ref": "rakeshrauniyar/customer-churn-prediction-with-accuracy-97-7", "kernel_id": "30094793"}, {"ref": "rinichristy/customer-churn-prediction-2020", "kernel_id": "33226936"}, {"ref": "sanketbodake1998/churn-prediction", "kernel_id": "34679663"}, {"ref": "mohanadashour/churn-analysis", "kernel_id": "35748384"}, {"ref": "dobariyanaitik/customer-churn-prediction-96-58-accuracy", "kernel_id": "36402290"}, {"ref": "monishkrish/churn-prediction", "kernel_id": "37620066"}, {"ref": "monishkrish/notebook7453f31d51", "kernel_id": "37620106"}, {"ref": "diegohurtadoo/telco-churn-prediction-using-lstm-96-accuracy", "kernel_id": "38179869"}, {"ref": "pedroclem/project4", "kernel_id": "40553831"}, {"ref": "chariskleitsikas/notebook7467168c6b", "kernel_id": "41351700"}, {"ref": "snehagilada/telecom-churn-analysis", "kernel_id": "43592150"}, {"ref": "teshwarkanthreddy/telecom-churn-analysis", "kernel_id": "43807330"}, {"ref": "aleksandrzagorulko/notebookc445a57853", "kernel_id": "45320953"}, {"ref": "ananthu19/telecom-churn-prediction", "kernel_id": "47129840"}, {"ref": "demomaster/customer-churn-prediction", "kernel_id": "48387279"}, {"ref": "deevikaa/customer-churn-using-rfc", "kernel_id": "49673875"}, {"ref": "janasatvika/customer-churn-prediction-with-supervised-learning", "kernel_id": "52586160"}, {"ref": "s0menickname/customer-churn-prediction", "kernel_id": "52315888"}, {"ref": "ahmedeqbal/customer-churn-prediction", "kernel_id": "55032746"}, {"ref": "ahmedeqbal/customer-churn-prediction-using-lstm", "kernel_id": "55554419"}, {"ref": "volodymyrholomb/autoeda-pipeline", "kernel_id": "55897176"}, {"ref": "triowibowo28/customer-churn-prediction", "kernel_id": "60431235"}, {"ref": "yeabsiratibebu/notebook-eda", "kernel_id": "61804433"}, {"ref": "mdwali77221/roi-optimization", "kernel_id": "61672614"}, {"ref": "alisadaqat/customer-churn-prediction-2020-96-44-accuracy", "kernel_id": "67329014"}, {"ref": "petetilavanya/lstm-with-accuracy-94", "kernel_id": "75809085"}, {"ref": "lu791019/notebook7d65a5291d", "kernel_id": "77874382"}, {"ref": "lawrencecode/tuned-catboost-model", "kernel_id": "77397596"}, {"ref": "evanlin42013/notebook7d65a5291d", "kernel_id": "77762806"}, {"ref": "vmkhoa28/random-forest", "kernel_id": "77282641"}, {"ref": "kizons/notebooke79603907a", "kernel_id": "85102988"}, {"ref": "meltfore/notebooka5d3485ff2", "kernel_id": "102546590"}, {"ref": "kiri2137/telco-customer-churn", "kernel_id": "129257268"}]}
{"competition_id": "20149", "kernels": []}
{"competition_id": "20151", "kernels": []}
{"competition_id": "20159", "kernels": []}
{"competition_id": "20161", "kernels": [{"ref": "manishvarma/hacakthon-master", "kernel_id": "8953583"}]}
{"competition_id": "20166", "kernels": []}
{"competition_id": "20170", "kernels": []}
{"competition_id": "20175", "kernels": [{"ref": "junbumlee/baseline-charcnn-baseline-pytorch", "kernel_id": "8989531"}]}
{"competition_id": "20176", "kernels": []}
{"competition_id": "20182", "kernels": [{"ref": "mariamali12/gene-expression-prediction-baseline-1d-cnn", "kernel_id": "105633237"}, {"ref": "mariamali12/gene-expression-prediction-cell-type-feature", "kernel_id": "106709634"}, {"ref": "mariamali12/gene-expression-prediction-cell-type-sequence", "kernel_id": "106877433"}]}
{"competition_id": "20192", "kernels": []}
{"competition_id": "20194", "kernels": [{"ref": "bsohayeb/kernel-sohayeb", "kernel_id": "9547565"}]}
{"competition_id": "20200", "kernels": []}
{"competition_id": "20209", "kernels": []}
{"competition_id": "20210", "kernels": []}
{"competition_id": "20211", "kernels": []}
{"competition_id": "20212", "kernels": []}
{"competition_id": "20214", "kernels": [{"ref": "revannth/mlg-day-1-machine-learning-introduction", "kernel_id": "9019862"}, {"ref": "revannth/mlg-day-1-feature-engineering", "kernel_id": "9019888"}]}
{"competition_id": "20216", "kernels": []}
{"competition_id": "20219", "kernels": []}
{"competition_id": "20220", "kernels": [{"ref": "mehdifi/mehdi-s-submission", "kernel_id": "9910208"}]}
{"competition_id": "20221", "kernels": []}
{"competition_id": "20223", "kernels": []}
{"competition_id": "20230", "kernels": [{"ref": "lifefilm/10k-resnet50-fastai", "kernel_id": "13089136"}, {"ref": "kianindeed/visual-image-search-clip", "kernel_id": "54051337"}]}
{"competition_id": "20242", "kernels": []}
{"competition_id": "20266", "kernels": []}
{"competition_id": "20268", "kernels": []}
{"competition_id": "20270", "kernels": [{"ref": "usharengaraju/devfest2020identifyingmelanomainlesionimages", "kernel_id": "7935346"}, {"ref": "saife245/cutmix-vs-mixup-vs-gridmask-vs-cutout", "kernel_id": "8596722"}, {"ref": "pranshu29/siims-tabular-analysis", "kernel_id": "8932081"}, {"ref": "arnimen5/plant-keras-resnet-tta", "kernel_id": "8895840"}, {"ref": "abhishek/melanoma-detection-with-pytorch", "kernel_id": "9828665"}, {"ref": "gabi39078/melanoma-initial-visualization-of-data", "kernel_id": "9755108"}, {"ref": "titericz/simple-baseline", "kernel_id": "9743376"}, {"ref": "titericz/resizing-256x256-jpg-100-quality", "kernel_id": "9771488"}, {"ref": "titericz/image-resizing-128x128-jpg-100-quality", "kernel_id": "9767318"}, {"ref": "dmarkd/melanoma-classification", "kernel_id": "9895489"}, {"ref": "drc222031/kernel2145ef726d", "kernel_id": "9814381"}, {"ref": "krsnewwave/melanoma-eda", "kernel_id": "9967664"}, {"ref": "krsnewwave/melanoma-modeling", "kernel_id": "9972435"}, {"ref": "akashram/dimensional-reduction-techniques-baseline-rf", "kernel_id": "9818458"}, {"ref": "akashram/cnn-baseline-pytorch", "kernel_id": "9861835"}, {"ref": "parulpandey/melanoma-classification-eda-starter", "kernel_id": "9744633"}, {"ref": "raddar/simple-baseline-revamped", "kernel_id": "9789855"}, {"ref": "manojprabhaakr/melanoma-tpu-starter-efficientnet-b0", "kernel_id": "9752807"}, {"ref": "tunguz/image-resizing-32x32-train", "kernel_id": "9758514"}, {"ref": "tunguz/image-resizing-32x32-test", "kernel_id": "9758675"}, {"ref": "tunguz/image-resizing-64x-train", "kernel_id": "9758816"}, {"ref": "tunguz/image-resizing-64x64-test", "kernel_id": "9758887"}, {"ref": "tunguz/image-resizing-96x96-train", "kernel_id": "9758934"}, {"ref": "tunguz/image-resizing-96x96-test", "kernel_id": "9759041"}, {"ref": "tunguz/image-resizing-128x128-train", "kernel_id": "9759225"}, {"ref": "tunguz/image-resizing-128x128-test", "kernel_id": "9759760"}, {"ref": "tunguz/image-resizing-224x224-train", "kernel_id": "9766135"}, {"ref": "tunguz/image-resizing-224x224-test", "kernel_id": "9766199"}, {"ref": "tunguz/melanoma-classification-eda-and-modeling", "kernel_id": "9766902"}, {"ref": "tunguz/adversarial-melanoma", "kernel_id": "9787753"}, {"ref": "tunguz/melanoma-tsne-and-umap-embeddings-with-rapids", "kernel_id": "9809442"}, {"ref": "tunguz/rapids-svm-regressor", "kernel_id": "9855874"}, {"ref": "tunguz/melanoma-svc-baseline-32x32", "kernel_id": "9940633"}, {"ref": "bitthal/eda-working-with-dicom-images", "kernel_id": "9746867"}, {"ref": "bitthal/baseline-pytorch-efficientnet", "kernel_id": "9787722"}, {"ref": "bitthal/resizing-siim-isic-images", "kernel_id": "9799641"}, {"ref": "allunia/don-t-turn-into-a-smoothie-after-the-shake-up", "kernel_id": "9752001"}, {"ref": "hubwag/rapids-umap-with-fisher-metric-on-rgb-histograms", "kernel_id": "9821333"}, {"ref": "foreveryoung42/tf-tpu-efficientnetb0-noisy-student-tta", "kernel_id": "9746691"}, {"ref": "amitprasad/fast-eda-melanoma-classification", "kernel_id": "9782284"}, {"ref": "barun2104/melanoma-identification-starter-eda", "kernel_id": "9754920"}, {"ref": "agentauers/incredible-tpus-finetune-effnetb0-b6-at-once", "kernel_id": "9894385"}, {"ref": "agentauers/more-rapids-umap-train-test-difference", "kernel_id": "9931855"}, {"ref": "agentauers/melanoma-extract-features-from-jpg-and-dicom", "kernel_id": "9950362"}, {"ref": "gpreda/siim-isic-melanoma-classification-eda", "kernel_id": "9759421"}, {"ref": "andrewmvd/diagnostic-principles-and-modeling-insights", "kernel_id": "9743734"}, {"ref": "truonghoang/siim-isic-melanoma-lightgbm-cpu", "kernel_id": "9925465"}, {"ref": "truonghoang/fork-of-siim-isic-melanoma-starter", "kernel_id": "9826696"}, {"ref": "yeayates21/siim-keras-efficientnetb0-starter-tfrec-tpu", "kernel_id": "9747746"}, {"ref": "yeayates21/siim-keras-efficientnetb3-starter-tfrec-tpu", "kernel_id": "9743588"}, {"ref": "yeayates21/siim-baseline-no-deep-learning", "kernel_id": "9745418"}, {"ref": "anubhav1302/melanoma-efficientnet", "kernel_id": "9748155"}, {"ref": "eshwarprasad/template-for-a-beginner", "kernel_id": "9747193"}, {"ref": "mkgrewal/melanoma-detection", "kernel_id": "9743724"}, {"ref": "avirdee/fastai2-dicom-starter", "kernel_id": "9772032"}, {"ref": "anshumoudgil/melanoma-very-basic-introduction", "kernel_id": "9768759"}, {"ref": "jaseziv83/eda-of-melanoma-metadata-and-baseline", "kernel_id": "9744020"}, {"ref": "jbfarrar/dicom-format-eda-and-image-analysis", "kernel_id": "9851114"}, {"ref": "grapestone5321/siim-isic-melanoma-class-sample-submission", "kernel_id": "9748065"}, {"ref": "arivarasan/siim-melanoma-eda", "kernel_id": "9753304"}, {"ref": "prathyushaakundi/color-conversion-for-dicom-format", "kernel_id": "9956938"}, {"ref": "prathyushaakundi/skin-images-and-metadata-eda-data-leak", "kernel_id": "9966177"}, {"ref": "soumikrakshit/efficientnet-b6-with-tensorflow", "kernel_id": "9924185"}, {"ref": "shebinscaria/siim-isic-efficientnet-starter-code", "kernel_id": "9982389"}, {"ref": "ashutosh3060/eda-model-build-only-usng-metadata", "kernel_id": "9753411"}, {"ref": "chakkarapani/eda-siim", "kernel_id": "9753663"}, {"ref": "maheswarareddyp/siim-isic-melanoma-classification", "kernel_id": "9758215"}, {"ref": "shawon10/melanoma-classification-eda-and-densenet121", "kernel_id": "9748592"}, {"ref": "rftexas/siim-isic-melanoma-analysis-eda-efficientnetb1", "kernel_id": "9756445"}, {"ref": "ajaysamp/siim-isic-eda-enetb0-simple-starter-code", "kernel_id": "9746679"}, {"ref": "anshuls235/siim-isic-melanoma-analysis-eda-prediction", "kernel_id": "9837165"}, {"ref": "tarunpaparaju/siim-isic-melanoma-resized-images", "kernel_id": "9823350"}, {"ref": "tarunpaparaju/siim-isic-melanoma-eda-pytorch-baseline", "kernel_id": "9747168"}, {"ref": "alhasanabdellatif123/data-eda", "kernel_id": "9808554"}, {"ref": "kaggleperson1/melanoma-classification-siim-isic", "kernel_id": "9981109"}, {"ref": "shashwatwork/melanoma-classification-simple-vs-efficientnet", "kernel_id": "9841676"}, {"ref": "graf10a/siim-stratified-groupkfold-5-folds", "kernel_id": "9899119"}, {"ref": "bibek777/training-pytorch-starter", "kernel_id": "9744384"}, {"ref": "moizsaifee/melanoma-classification-detailed-eda", "kernel_id": "9745623"}, {"ref": "volcanoflash/melanoma-siim-isic-2020-fast-ai-efficientnetb0", "kernel_id": "9823449"}, {"ref": "nvnvashisth/melanoma-classification-data-exploration", "kernel_id": "9810867"}, {"ref": "arroqc/siim-isic-preprocessing-jpeg-notebook", "kernel_id": "9746875"}, {"ref": "arroqc/siim-isic-pytorch-lightning-starter-seresnext50", "kernel_id": "9744592"}, {"ref": "ibtesama/siim-baseline-keras-vgg16", "kernel_id": "9756012"}, {"ref": "ibtesama/melanoma-pytorch", "kernel_id": "9869945"}, {"ref": "ibtesama/melanoma-classification-with-attention", "kernel_id": "9930403"}, {"ref": "syamkakarla/siim-melanoma-eda-sample-modelling", "kernel_id": "9748753"}, {"ref": "pragyanbo/exploring-the-patients-data-and-starter-model", "kernel_id": "9746103"}, {"ref": "yasufuminakama/tpu-siim-isic-efficientnetb3-training", "kernel_id": "9755753"}, {"ref": "yasufuminakama/tpu-siim-isic-efficientnetb3-inference", "kernel_id": "9750707"}, {"ref": "nroman/melanoma-pytorch-starter-efficientnet", "kernel_id": "9826042"}, {"ref": "debmalya84/siim-isic-melanoma-basic-eda", "kernel_id": "9770154"}, {"ref": "cdeotte/image-and-tabular-data-0-915", "kernel_id": "9839034"}, {"ref": "cdeotte/how-to-create-tfrecords", "kernel_id": "9921481"}, {"ref": "khoongweihao/siim-isic-multiple-model-training-stacking", "kernel_id": "9754337"}, {"ref": "muhakabartay/public-blender-with-rank-data-0-946", "kernel_id": "9932708"}, {"ref": "muhakabartay/siim-isic-melanoma-classification-eda-dicom", "kernel_id": "9743904"}, {"ref": "kittlein/melanomapy", "kernel_id": "9942885"}, {"ref": "kittlein/melanoma-r", "kernel_id": "9856663"}, {"ref": "imransait/melanoma-skin-cancer-disease-eda-starter", "kernel_id": "9776237"}, {"ref": "imransait/create-folds-train-data", "kernel_id": "9863743"}, {"ref": "shonenkov/merge-external-data", "kernel_id": "9867966"}, {"ref": "shonenkov/training-cv-melanoma-starter", "kernel_id": "9886160"}, {"ref": "shonenkov/inference-single-model-melanoma-starter", "kernel_id": "9902625"}, {"ref": "shonenkov/inference-melanoma-crazy-fast", "kernel_id": "9994674"}, {"ref": "zzy990106/lgb-xgb-meta-data-image", "kernel_id": "9862355"}, {"ref": "zzy990106/pytorch-5-fold-efficientnet-baseline", "kernel_id": "9801822"}, {"ref": "zzy990106/lgb-meta-data-image-size", "kernel_id": "9950462"}, {"ref": "zzy990106/pytorch-efficientnet-b2-resnext50", "kernel_id": "9961356"}, {"ref": "blondinka/auc-callback-for-keras", "kernel_id": "9801854"}, {"ref": "ipythonx/tf-keras-melanoma-classification-starter-tabnet", "kernel_id": "9905568"}, {"ref": "akashsuper2000/siim-isic-multiple-model-training-inference", "kernel_id": "9760768"}, {"ref": "c97grosh/melanoma-comp-nb", "kernel_id": "9828523"}, {"ref": "c97grosh/cnn-combine-model-melanoma-comp", "kernel_id": "9978549"}, {"ref": "herbison/fast-load-and-resize", "kernel_id": "9746889"}, {"ref": "aziz69/efficientnets-meta-data-augs-0-939-public-lb", "kernel_id": "9762509"}, {"ref": "gopidurgaprasad/siim-8-folds-with-8-tpu-cores-pytorch", "kernel_id": "9867815"}, {"ref": "sarques/siim-pytorch-ignite-simple-baseline-starter", "kernel_id": "9950994"}, {"ref": "saife245/melanoma-detail-analysis-eda-ip-augmentation-model", "kernel_id": "9755632"}, {"ref": "chiragsaini97/siim-keras-efficientnetb3", "kernel_id": "9754299"}, {"ref": "nlebang/siim-isic-ead-base-model", "kernel_id": "9940240"}, {"ref": "nlebang/siim-isic-simple-public-blender", "kernel_id": "9960724"}, {"ref": "elbanan/clinical-imaging-features-pipeline-poc-w-radtorch", "kernel_id": "9762300"}, {"ref": "elbanan/radtorch-siim-melanoma", "kernel_id": "9743544"}, {"ref": "niteshx2/melanoma-starter-simplest-explanation-and-model", "kernel_id": "9993441"}, {"ref": "prudhvi9999/siim-isic-melanoma-classification", "kernel_id": "9769864"}, {"ref": "phoenix9032/siim-melanomas-pytorch-simple-multi-input-method", "kernel_id": "9806476"}, {"ref": "yeshvini/siim-melanoma-analysis", "kernel_id": "9804397"}, {"ref": "ovdnnest/efficientnet-transfer", "kernel_id": "9973029"}, {"ref": "ovdnnest/all-data-folders", "kernel_id": "9953323"}, {"ref": "ovdnnest/data-processing", "kernel_id": "9888489"}, {"ref": "priteshraj10/siim-isic-training", "kernel_id": "9794429"}, {"ref": "clguo1/siim-isic-pytorch-lightning-starter-resnest50", "kernel_id": "9893988"}, {"ref": "someshsehgal/somesh-melanoma-classification", "kernel_id": "9770469"}, {"ref": "fredericods/quick-eda-lazy-tabular-baseline-with-catboost", "kernel_id": "9743871"}, {"ref": "fredericods/efficientnetbi-melanoma-classification-with-tf", "kernel_id": "9930645"}, {"ref": "fredericods/melanoma-classification", "kernel_id": "9894087"}, {"ref": "meemr5/melanoma-classification-eda-sgkfold-logisticr", "kernel_id": "9902529"}, {"ref": "baopmessi/pytorch-efficientnet-baseline", "kernel_id": "9888208"}, {"ref": "soham1024/melanoma-efficientnetb6-inference", "kernel_id": "9758586"}, {"ref": "serosenberg/cancer-be-gone", "kernel_id": "9912646"}, {"ref": "aditya23071991/melanoma-classification-pytorch", "kernel_id": "9988408"}, {"ref": "anirbansen3027/melanoma-classification-eda-beginner", "kernel_id": "9820403"}, {"ref": "namansingh2803/melanoma-tpu-effnetb3-b7", "kernel_id": "9770519"}, {"ref": "smile26/melanoma-classification-using-ensemble-learning", "kernel_id": "9888152"}, {"ref": "redwankarimsony/siim-isic-melanoma-classification-ensemble", "kernel_id": "9908776"}, {"ref": "redwankarimsony/melanoma-eda-efficentnets-densenet-ensemble", "kernel_id": "9795269"}, {"ref": "barteksadlej123/keras-efficientnetb2", "kernel_id": "9797336"}, {"ref": "mohamedtayser/siim-isic-melanoma-classification", "kernel_id": "9935834"}, {"ref": "synysterjeet/image-classification-using-monkai", "kernel_id": "9801878"}, {"ref": "pansofluck/siim-isic-melanoma-classification", "kernel_id": "9927389"}, {"ref": "vikassingh1996/siim-melanoma-classification-eda-feats-plotly", "kernel_id": "9772177"}, {"ref": "shubham9455999082/vgg16-opencv-and-cnn", "kernel_id": "9746481"}, {"ref": "p4rallax/pytorch-baseline-siim-isic", "kernel_id": "9850158"}, {"ref": "p4rallax/pytorch-siim-isic-inference", "kernel_id": "9854395"}, {"ref": "reighns/groupkfold-and-stratified-groupkfold-efficientnet", "kernel_id": "9801544"}, {"ref": "piantic/tf-keras-tpu-burn", "kernel_id": "9952961"}, {"ref": "vinaybhupalam/tensorflow-undersampling-10-fold-gpu", "kernel_id": "9869179"}, {"ref": "andradaolteanu/siim-melanoma-competition-eda-augmentations", "kernel_id": "9970220"}, {"ref": "awsaf49/xgboost-tabular-data-ml-cv-85-lb-787", "kernel_id": "9976039"}, {"ref": "louise2001/beginner-lightgbm-on-patient-only-information", "kernel_id": "9798202"}, {"ref": "louise2001/ensemble", "kernel_id": "9800810"}, {"ref": "ajaykumar7778/melanoma-tpu-efficientnet-b5-dense-head", "kernel_id": "9757831"}, {"ref": "ajaykumar7778/inceptionresnetv2-tpu", "kernel_id": "9785018"}, {"ref": "soumya9977/1st-featuredcom-submission-baseline-keras-vgg16", "kernel_id": "9826263"}, {"ref": "soumya9977/eda-w-plotly-and-stacking-on-tabular-data-0-685", "kernel_id": "9999210"}, {"ref": "aviralpamecha/efficientnetb7-eda-data-processing-training", "kernel_id": "9784612"}, {"ref": "rohitsingh9990/melanoma-eda-visualizations-ensemble", "kernel_id": "9756756"}, {"ref": "santhoshchakilam/beginner-siim-isic-melanoma-classification", "kernel_id": "9808808"}, {"ref": "eadhunath/eda-on-melanoma-data-starter-observations", "kernel_id": "9997387"}, {"ref": "nrkapri/siim-isic-melanoma-classification-xception", "kernel_id": "9978540"}, {"ref": "alicia183/siim-data-visualization-eda", "kernel_id": "9901163"}, {"ref": "nxrprime/siim-extract-image-features-fully-commented", "kernel_id": "9907715"}, {"ref": "shubhamai/melanoma-classification", "kernel_id": "9758480"}, {"ref": "digvijayyadav/analyzing-melanoma-through-interactive-plots", "kernel_id": "9824785"}, {"ref": "blueturtle/siim-inference-of-enet-b4", "kernel_id": "9959489"}, {"ref": "blueturtle/siim-image-sizes-eda-using-list-comprehension", "kernel_id": "9968022"}, {"ref": "blueturtle/siim-read-tfrec-files", "kernel_id": "9990378"}, {"ref": "blueturtle/siim-enet-b4-train", "kernel_id": "9976088"}, {"ref": "jamescadman/melanoma-identification-with-vgg16-advice-welcome", "kernel_id": "9829250"}, {"ref": "ccshentw/melanoma-classification-eda-starter", "kernel_id": "9825418"}, {"ref": "ccshentw/data-explorer", "kernel_id": "9758450"}, {"ref": "vaidicjain/siim-isic-melanoma-classification", "kernel_id": "9906644"}, {"ref": "mdzarifhossain/melanoma-eda-efficentnets-densenet-ensemble", "kernel_id": "9882734"}, {"ref": "fetulhakabdurahman/melanoma-effecientnet", "kernel_id": "9801570"}, {"ref": "lucijaaher/kernel795edce6c7", "kernel_id": "9907375"}, {"ref": "dremovd/roc-auc-examples", "kernel_id": "10864752"}, {"ref": "alexxanderlarko/create-various-sizes-of-external-data-384x384", "kernel_id": "10454859"}, {"ref": "abhishek/accelerator-power-hour-pytorch-tpu", "kernel_id": "10316635"}, {"ref": "sachin/discriminative-lr-lr-finder", "kernel_id": "10755097"}, {"ref": "loveall/fork-of-melanoma-neat-pytorch-lightning-1ee79a", "kernel_id": "10678584"}, {"ref": "vishnus/a-simple-pytorch-starter-code-single-fold-93", "kernel_id": "10709427"}, {"ref": "aninda/melanoma-using-fastai2", "kernel_id": "10591177"}, {"ref": "lalitapatel/review-of-records-and-images", "kernel_id": "10990749"}, {"ref": "ttt2209181/melanoma-classification-with-uniform-augment-x256", "kernel_id": "10666322"}, {"ref": "priteshshrivastava/melanoma-simple-baseline-69-9-auroc", "kernel_id": "10649790"}, {"ref": "priteshshrivastava/melanoma-eda", "kernel_id": "10702947"}, {"ref": "priteshshrivastava/melanoma-keras-vgg", "kernel_id": "10705225"}, {"ref": "priteshshrivastava/melanoma-tabular-data-xgboost", "kernel_id": "10706765"}, {"ref": "priteshshrivastava/tabular-data-model", "kernel_id": "10998897"}, {"ref": "chevli/faster-approach-rgb-to-hsv-cmyk", "kernel_id": "10236867"}, {"ref": "krishnaharish/siim-melanoma-competition-eda-augmentations", "kernel_id": "10825745"}, {"ref": "adnaiksachin25/melanoma-v1-svm", "kernel_id": "10322011"}, {"ref": "supreethmanyam/dicom-vs-jpeg-vs-tfrecord-image-quality-analysis", "kernel_id": "10120162"}, {"ref": "debashissanyal/melanoma-detection-resnet-effficient-nets-with-tf", "kernel_id": "10809065"}, {"ref": "debashissanyal/resize-train-images-128x128-melanoma", "kernel_id": "10881098"}, {"ref": "suniljs/computer-vision-transfer-learning-beginners", "kernel_id": "10703911"}, {"ref": "yeshwanthv/a-simple-pytorch-starter-code-single-fold-93", "kernel_id": "10730286"}, {"ref": "viiids/inception-resnetv2-with-oversampling-malignant", "kernel_id": "10125182"}, {"ref": "viiids/stage-1-eda-for-beginners", "kernel_id": "10109236"}, {"ref": "superman8218/kernel61776af738", "kernel_id": "10670809"}, {"ref": "tunguz/melanoma-train-test-creator", "kernel_id": "10023341"}, {"ref": "tunguz/adversarial-melanoma-2", "kernel_id": "10023525"}, {"ref": "tunguz/melanoma-with-h2o-automl", "kernel_id": "10024034"}, {"ref": "tunguz/melanoma-with-h2o-automl-2", "kernel_id": "10107571"}, {"ref": "tunguz/melanoma-with-h2o-automl-3", "kernel_id": "10491383"}, {"ref": "tunguz/melanoma-with-h2o-automl-4", "kernel_id": "10803232"}, {"ref": "wittmannf/eda-and-base-model-in-keras-with-resnet50-awari", "kernel_id": "10778968"}, {"ref": "hmendonca/siim-isic-melanoma-classification-csv", "kernel_id": "10393915"}, {"ref": "hmendonca/melanoma-neat-pytorch-lightning-native-amp", "kernel_id": "10373873"}, {"ref": "hmendonca/kaggle-tf-keras-utility-script", "kernel_id": "10593142"}, {"ref": "hmendonca/melanoma20-256px", "kernel_id": "10810234"}, {"ref": "allunia/don-t-turn-into-a-smoothie-image-statistics", "kernel_id": "10124634"}, {"ref": "hiteshsom/siim-isic-melanoma-eda", "kernel_id": "10201873"}, {"ref": "gowrishankarin/gradcam-model-interpretability-vgg16-xception", "kernel_id": "10506552"}, {"ref": "solomonk/minmax-ensemble-0-9526-lb", "kernel_id": "10707321"}, {"ref": "solomonk/classification-np-log2-ensemble-0-9504-lb", "kernel_id": "10581874"}, {"ref": "bryanb/siim-isic-quick-eda", "kernel_id": "10279746"}, {"ref": "bryanb/let-the-magic-begin", "kernel_id": "10942614"}, {"ref": "pgacirane/melanoma-case-data-preprocess", "kernel_id": "10238469"}, {"ref": "sinchanbhattacharya/exploring-the-image-dataset-only", "kernel_id": "10697221"}, {"ref": "truonghoang/siim-isic-melanoma-tabular", "kernel_id": "10800149"}, {"ref": "truonghoang/multi-size-eff-lb-0-912", "kernel_id": "10429726"}, {"ref": "truonghoang/stacking-ensemble-on-my-submissions", "kernel_id": "10230551"}, {"ref": "ishivinal/opencv-melanoma-skin-lesions-detection", "kernel_id": "10646830"}, {"ref": "sheriytm/melanoma-clf-xgb-missed-opportunity-4th-0-9482", "kernel_id": "10840632"}, {"ref": "a5bhowmik/gan-vgg", "kernel_id": "10042971"}, {"ref": "a5bhowmik/melavgg", "kernel_id": "10479376"}, {"ref": "eshwarprasad/transfer-learning-with-efficientnet-b7", "kernel_id": "10323626"}, {"ref": "suntech/melanoma-classification-eda1", "kernel_id": "10757373"}, {"ref": "suntech/how-to-create-tfrecords-by-me", "kernel_id": "10808138"}, {"ref": "suntech/melanoma-classification-eda", "kernel_id": "10706799"}, {"ref": "adityapatil673/neural-network-for-dummies-pytorch-melanoma", "kernel_id": "10370435"}, {"ref": "arivarasan/melanoma-pytorch-starter", "kernel_id": "10020869"}, {"ref": "urvishp80/images-and-metadata-in-single-efnet-b6", "kernel_id": "10881387"}, {"ref": "kiurtis/siim-isic-melanoma-classification-eda", "kernel_id": "10043317"}, {"ref": "iamprateek/melanoma-classification-with-catboost", "kernel_id": "10102763"}, {"ref": "iamprateek/melanoma-tpu-efficientnet-256", "kernel_id": "10474374"}, {"ref": "iamprateek/melanoma-tpu-efficientnet", "kernel_id": "10345742"}, {"ref": "dimitreoliveira/melanoma-classification-augmentations-eda", "kernel_id": "10617677"}, {"ref": "dimitreoliveira/melanoma-classification-shap-model-explained", "kernel_id": "10425935"}, {"ref": "caroldeabreu/melanoma-data-cleaning-resnet-effnet", "kernel_id": "10637828"}, {"ref": "datainsanity/copytfrecords", "kernel_id": "10730936"}, {"ref": "bssmsi/melanoma-classification", "kernel_id": "10721342"}, {"ref": "ragnar123/ligthgbm-stack-groupkfold", "kernel_id": "10508569"}, {"ref": "ragnar123/efficientnet-x-384", "kernel_id": "10140213"}, {"ref": "ragnar123/catboost-metadata", "kernel_id": "10045768"}, {"ref": "ragnar123/rank-then-blend", "kernel_id": "10257064"}, {"ref": "shaitender/melanoma-with-efficientnet-keras", "kernel_id": "10248175"}, {"ref": "shaitender/melanoma-efficientnet-pytorch", "kernel_id": "10854397"}, {"ref": "shaitender/efficientnet-pytorch", "kernel_id": "10992615"}, {"ref": "thedocs/pytorchlightning-tensorboard-efficientnet-stacked", "kernel_id": "10579237"}, {"ref": "maheswarareddyp/kaggle-siim", "kernel_id": "10092291"}, {"ref": "ydavidchen/melanoma-data-prep-via-convolutional-autoencoders", "kernel_id": "10185603"}, {"ref": "rftexas/siim-isic-se-resnext50-baseline", "kernel_id": "10594101"}, {"ref": "imdevskp/melanoma-classification", "kernel_id": "10340076"}, {"ref": "edchepen/isic-2020-dicom-embedded-image-visualization", "kernel_id": "10162463"}, {"ref": "dndxiii/multimodal-with-efficient-net-and-xgb-ensemble", "kernel_id": "10803201"}, {"ref": "mintman1/berczystan-central-committee-master-1-0-1", "kernel_id": "10316010"}, {"ref": "mintman1/efficientnetb3", "kernel_id": "10581080"}, {"ref": "ziliwang/stack-models", "kernel_id": "10677452"}, {"ref": "ziliwang/the-effects-of-various-jpeg-quality", "kernel_id": "10770969"}, {"ref": "graf10a/siim-data-augmentation-in-tf-hair-batch-affine", "kernel_id": "10460398"}, {"ref": "graf10a/siim-tabular-data-for-duplicates", "kernel_id": "10352296"}, {"ref": "graf10a/siim-show-gcs-bucket-addresses", "kernel_id": "10228435"}, {"ref": "graf10a/siim-example-of-making-tfrec-files-512x512", "kernel_id": "10005509"}, {"ref": "graf10a/siim-tfrec-512-test-q95", "kernel_id": "10007591"}, {"ref": "graf10a/efficientnet-bn-tabular-features-tf-cv5-512x512", "kernel_id": "10106272"}, {"ref": "rishika2095/transfer-learning-resnet", "kernel_id": "10408297"}, {"ref": "kmknation/siim-isic-melanoma-understanding", "kernel_id": "10898127"}, {"ref": "abhiex7/melanoma-eda-efficientnet-hairaug-5folds-0-91", "kernel_id": "10132244"}, {"ref": "rajnishe/rc-siim-balance-fold-model", "kernel_id": "10975923"}, {"ref": "rajnishe/rc-bit-base-model-384", "kernel_id": "10870397"}, {"ref": "rajnishe/rc-fork-siim-isic-melanoma-384x384", "kernel_id": "10894905"}, {"ref": "kevin9000/melanoma-eda", "kernel_id": "10745949"}, {"ref": "kevin9000/melanoma-beginner-cnn-using-pytorch", "kernel_id": "10986592"}, {"ref": "nvnvashisth/pytorch-efficientnet-b0-gpu", "kernel_id": "10754210"}, {"ref": "pragyanbo/merge-external-data-1024", "kernel_id": "10051158"}, {"ref": "rohitsohlot/train", "kernel_id": "10502706"}, {"ref": "sachin93/melanoma-cnn", "kernel_id": "10840546"}, {"ref": "subigyapanta/eda-for-getting-started", "kernel_id": "10640085"}, {"ref": "apthagowda/melanoma-efficientnet-b6-tpu-tta", "kernel_id": "10291159"}, {"ref": "cdeotte/triple-stratified-kfold-with-tfrecords", "kernel_id": "10587614"}, {"ref": "cdeotte/rapids-cuml-knn-find-duplicates", "kernel_id": "10709724"}, {"ref": "cdeotte/tfrecord-experiments-upsample-and-coarse-dropout", "kernel_id": "10837120"}, {"ref": "abiolatti/efficientnetb5-with-balanced-dataset-tf", "kernel_id": "10501558"}, {"ref": "abiolatti/spicv-spicy-vi-make-your-cv-more-testy", "kernel_id": "10887518"}, {"ref": "abiolatti/train-cv", "kernel_id": "10847145"}, {"ref": "amneves/tensorflow-efficientnetbx-transfer-learning", "kernel_id": "10573709"}, {"ref": "amneves/random-classifier-because-why-not", "kernel_id": "10854529"}, {"ref": "amneves/bigtransfer-bit-transfer-on-steroids", "kernel_id": "10853663"}, {"ref": "amneves/metadata-analysis-with-tableau-and-seaborn", "kernel_id": "10766757"}, {"ref": "amneves/tensorflow-inception-v3-transfer-learning", "kernel_id": "10776455"}, {"ref": "amneves/tensorflow-densenet-transfer-learning", "kernel_id": "10810830"}, {"ref": "amneves/melanoma-with-xgboost-cv", "kernel_id": "10822472"}, {"ref": "kittlein/melanoma-effnetb4-rgb", "kernel_id": "10963339"}, {"ref": "kittlein/landscape-metrics-for-melanomas", "kernel_id": "10025214"}, {"ref": "kittlein/xgboost-tabular-data-ml-cv-86-lb-787", "kernel_id": "10513818"}, {"ref": "dormann/melanoma-image-classification-version-2", "kernel_id": "10519396"}, {"ref": "dormann/melanoma-classification-using-visual-attention-x2", "kernel_id": "10703858"}, {"ref": "ozoozo/siim-isic-decreasing-exec-time-for-hair-removal", "kernel_id": "10885355"}, {"ref": "ozoozo/siim-isic-basic-eda", "kernel_id": "10885381"}, {"ref": "mutantspore/kernel61b65f025f-siim-start", "kernel_id": "10107233"}, {"ref": "shonenkov/torch-xla-melanoma-crazy-fast", "kernel_id": "10001024"}, {"ref": "shonenkov/dbscan-clustering-check-marking", "kernel_id": "10056353"}, {"ref": "medmostapha/adias-kernel", "kernel_id": "10470056"}, {"ref": "shikha130vv/tfrecord-image-preprocessing", "kernel_id": "10645226"}, {"ref": "shikha130vv/data-pipeline", "kernel_id": "10470590"}, {"ref": "hide300/undersampling-making-data", "kernel_id": "10389670"}, {"ref": "sulabhtiwari/melanoma-384-lb-92-5-without-tabular-data", "kernel_id": "10613806"}, {"ref": "ipythonx/training-cv-melanoma-starter-ghostnet-tta", "kernel_id": "10740251"}, {"ref": "ipythonx/tresnet-hp-gpu-dedicated-net-grad-accumulation-tta", "kernel_id": "10922958"}, {"ref": "akashsuper2000/ensemble-notebook", "kernel_id": "10492293"}, {"ref": "akashsuper2000/efficientnet-x-384", "kernel_id": "10492502"}, {"ref": "akashsuper2000/incredible-tpus-finetune-effnetb0-b6-at-once", "kernel_id": "10492694"}, {"ref": "akashsuper2000/efficientnet-b6-on-tpus", "kernel_id": "10498708"}, {"ref": "akashsuper2000/melanoma-detection-enet-on-tpus", "kernel_id": "10458076"}, {"ref": "akashsuper2000/kfold-with-tfrecord-upsample-and-coarse-dropout", "kernel_id": "10922762"}, {"ref": "akashsuper2000/triple-stratified-kfold-with-tfrecords", "kernel_id": "10786871"}, {"ref": "akashsuper2000/stacking-ensemble", "kernel_id": "10995289"}, {"ref": "ks2019/adverserial-validation-on-image-data", "kernel_id": "10839911"}, {"ref": "mobassir/in-depth-melanoma-with-modeling", "kernel_id": "10487725"}, {"ref": "mobassir/analyzing-melanoma-see-like-dermatologist", "kernel_id": "10934428"}, {"ref": "aziz69/xgb-lgbm-catboost-and-nn", "kernel_id": "10143038"}, {"ref": "aziz69/how-to-pseudo-labelling-create-tf-records", "kernel_id": "10703675"}, {"ref": "kunduruanil/tf-customdataprocessing", "kernel_id": "10955165"}, {"ref": "gopidurgaprasad/siim-pytorch-1-6-native-amp", "kernel_id": "10939923"}, {"ref": "gopidurgaprasad/pytorch-weightedclasssampler", "kernel_id": "10610153"}, {"ref": "sarques/issue-with-pytorch-xla-melanoma-classification", "kernel_id": "10101811"}, {"ref": "ukveteran/melanoma-classification-jma", "kernel_id": "10936177"}, {"ref": "kaerunantoka/effn-b4-pseudo-labeling-coarse-dropout-gpu", "kernel_id": "10965392"}, {"ref": "jagdmir/siim-melanoma-classification-modelling", "kernel_id": "10682457"}, {"ref": "prashantarorat/catboost-classification-using-meta-data", "kernel_id": "10450574"}, {"ref": "prashantarorat/efficientnetb3-focal-loss-tpu-lb-score-0-906", "kernel_id": "10469116"}, {"ref": "foodaholic/effnet-0-6-with-tabular-data", "kernel_id": "10852958"}, {"ref": "jeevats/classification-linear-regression-xgboost-nn", "kernel_id": "10230904"}, {"ref": "akensert/siim-isic-distributed-tf2-2-single-multi-gpu", "kernel_id": "10328022"}, {"ref": "animeshsinha1309/image-enhancement-and-tf-record-generation", "kernel_id": "10645960"}, {"ref": "lavasesha/topological-data-analysis-using-keppler-mapper", "kernel_id": "10534510"}, {"ref": "niteshx2/melanoma-beginner-tpu-efficientnet", "kernel_id": "10135905"}, {"ref": "niteshx2/improve-blending-using-rankdata-ensemble", "kernel_id": "10284810"}, {"ref": "prudhvi9999/multi-model-classification", "kernel_id": "10327031"}, {"ref": "prudhvi9999/melanoma-classification", "kernel_id": "10004709"}, {"ref": "prudhvi9999/image-and-metadata", "kernel_id": "10067778"}, {"ref": "prudhvi9999/melanoma-classification-using-meta-data-and-kfold", "kernel_id": "10853726"}, {"ref": "darshanpatel11/xgb-metadata", "kernel_id": "10517231"}, {"ref": "darshanpatel11/incredible-tpus-finetune-effnetb0-b6-at-once", "kernel_id": "10470140"}, {"ref": "mihitraj/kernel12e2f21c4d", "kernel_id": "10775224"}, {"ref": "mihitraj/kernel204c024442", "kernel_id": "10781274"}, {"ref": "dimartinot/siim-playground-eda-of-tabular-data", "kernel_id": "10651959"}, {"ref": "mahmudds/siim-isic-melanoma-classification", "kernel_id": "10621195"}, {"ref": "mariapushkareva/melanoma-classification-tensorflow-efficientnetb7", "kernel_id": "10002376"}, {"ref": "vishaldawar/cancer-detection", "kernel_id": "10679878"}, {"ref": "noelmat/siim-starter-quick-start-mixup", "kernel_id": "10656043"}, {"ref": "catherineskv/statistical-analysis-tabular-data", "kernel_id": "10758733"}, {"ref": "dhruvmak/melanoma-eda-with-bokeh", "kernel_id": "10735673"}, {"ref": "malinivy/melanoma-eda-using-mapper", "kernel_id": "10552401"}, {"ref": "muellerzr/fastai2-tabular-vision-starter-kernel", "kernel_id": "10064947"}, {"ref": "fredericods/from-efficientnetb0-to-b7-melanoma-classification", "kernel_id": "10145737"}, {"ref": "fireheart7/melanoma-a-story-in-3-parts-part-one", "kernel_id": "10607580"}, {"ref": "fireheart7/melanoma-a-story-in-3-parts-part-two", "kernel_id": "10080217"}, {"ref": "fireheart7/melanoma-resnet50", "kernel_id": "10884661"}, {"ref": "fireheart7/melanoma-mobilenetv2", "kernel_id": "10664980"}, {"ref": "camaradaancap/melanoma-r-w-cov-net", "kernel_id": "10566799"}, {"ref": "meemr5/melanoma-model-interpretation-tf-explain", "kernel_id": "10492094"}, {"ref": "garuna1234/melanoma-classification-keras-tensorflow", "kernel_id": "10525782"}, {"ref": "mohitranjan18/basic-keras-resnet", "kernel_id": "10135396"}, {"ref": "arachauhan/incredible-tpus-finetune-effnetb0-b6-at-once", "kernel_id": "10557277"}, {"ref": "jugglernaut/melanomaprocessing", "kernel_id": "10925370"}, {"ref": "tanulsingh077/exploring-limits-of-meta-features-tabnet-lb-0-77", "kernel_id": "10250312"}, {"ref": "kmldas/new-basline-np-log2-ensemble-top-10", "kernel_id": "10759060"}, {"ref": "bonhart/siim-isic-melanoma-image-visualization", "kernel_id": "10130182"}, {"ref": "tt195361/create-various-sizes-of-external-data", "kernel_id": "10308305"}, {"ref": "tt195361/splitting-tensorflow-dataset-for-validation", "kernel_id": "10012995"}, {"ref": "andyden/resize-and-ensemble", "kernel_id": "10615154"}, {"ref": "kbrajwani/accelerator-power-hour-pytorch-tpu", "kernel_id": "10437946"}, {"ref": "kbrajwani/custom-training-loop-with-100-flowers-on-tpu", "kernel_id": "10449268"}, {"ref": "ayushporwal/kernel505b9ab756", "kernel_id": "10590383"}, {"ref": "jaseemck/melanoma-classification-last-minute-starter", "kernel_id": "10951104"}, {"ref": "sumitai/eda-of-siim-isic-melanoma-classification", "kernel_id": "10410718"}, {"ref": "vatsalparsaniya/melanoma-hair-remove", "kernel_id": "10587323"}, {"ref": "vatsalparsaniya/melanoma-stratifiedgroupkfold-tfrecord", "kernel_id": "10475043"}, {"ref": "sainathkrothapalli/exploratory-data-analysis-images-for-begginers", "kernel_id": "10569533"}, {"ref": "tkrsh09/how-to-deal-with-class-imbalance", "kernel_id": "10968424"}, {"ref": "tkrsh09/image-preprocessing-see-like-a-dermatologist", "kernel_id": "10947427"}, {"ref": "yash612/simple-image-augmentation-and-pipelining", "kernel_id": "10178764"}, {"ref": "yash612/depth-in-efficient-net", "kernel_id": "10759686"}, {"ref": "ajax0564/test-tfrec-nohair-512x512", "kernel_id": "10635321"}, {"ref": "ajax0564/bit-transformer", "kernel_id": "10021739"}, {"ref": "redwankarimsony/siim-scic-melanoma-classification-ensemble", "kernel_id": "10992366"}, {"ref": "redwankarimsony/power-of-metadata-xgboost-cnn-ensemble", "kernel_id": "10069382"}, {"ref": "redwankarimsony/siim-isic-melanoma-ensemble-tabular", "kernel_id": "10100365"}, {"ref": "redwankarimsony/siim-isic-melanoma-1-model-4-datasets-starter", "kernel_id": "10103170"}, {"ref": "akshat0007/melanoma-efficientnet", "kernel_id": "10388661"}, {"ref": "barteksadlej123/resnet-with-basic-augmentation", "kernel_id": "10308386"}, {"ref": "syumei/get-size-of-melanoma", "kernel_id": "10964331"}, {"ref": "syumei/autoencoder-noise", "kernel_id": "10722528"}, {"ref": "anyexiezouqu/big-transfer-only-one-epoch-0-88-score", "kernel_id": "10717427"}, {"ref": "varunyadav17/fastai-skincancer-score-lift-from-0-858-to-0-9", "kernel_id": "10432964"}, {"ref": "varunyadav17/efficientnet-starter-with-fastiai", "kernel_id": "10757289"}, {"ref": "sawans/basic-model-with-tpu-and-efficientnet", "kernel_id": "10605026"}, {"ref": "sawans/baseline-with-vgg16", "kernel_id": "10854994"}, {"ref": "sawans/basic-ensemble-with-transfer-learning", "kernel_id": "10818695"}, {"ref": "sawans/basic-ensembling-on-tpu", "kernel_id": "10995724"}, {"ref": "pastrop/melanoma-detection", "kernel_id": "10087924"}, {"ref": "lucca9211/kernel31e535c36e", "kernel_id": "10955390"}, {"ref": "raviyadav2398/siim-isic-melanoma-classification", "kernel_id": "10526426"}, {"ref": "hyunkic/melanoma-cnn-approach-imgen", "kernel_id": "10159973"}, {"ref": "mushaya/melanoma-class-1", "kernel_id": "10060046"}, {"ref": "mushaya/melanoma-class-2", "kernel_id": "10487342"}, {"ref": "mushaya/melanoma-class-3", "kernel_id": "10630570"}, {"ref": "davidkwon/pseudo-labeling-by-predicted-roc-optimal-cutoff", "kernel_id": "10830102"}, {"ref": "aykhanpy/crop-microscope-circle", "kernel_id": "10369305"}, {"ref": "digala9949/beginner-s-melanomadetection-basicml", "kernel_id": "10867040"}, {"ref": "orionpax00/melanoma-inference", "kernel_id": "10752856"}, {"ref": "orionpax00/starter-kernel-melanoma-tf2-0-tpu", "kernel_id": "10053648"}, {"ref": "orionpax00/melanoma-detection-single-model-gpu-tpu-yapl", "kernel_id": "10100865"}, {"ref": "olucasferreira/siim-isic-melanoma-ensemble-xgboost-effcentnet", "kernel_id": "10977987"}, {"ref": "karam123/change-cl", "kernel_id": "10917200"}, {"ref": "iwatatakuya/siim-isic-efficientnet-b6-single-model-lb-0-9475", "kernel_id": "10862226"}, {"ref": "heshands/kernel6ac2a15570", "kernel_id": "10413390"}, {"ref": "chiraggodaw/melanoma-gpu-training-using-pipeline", "kernel_id": "10104840"}, {"ref": "chiraggodaw/melanoma-classification-eda", "kernel_id": "10435613"}, {"ref": "mirasel/melanoma-inception-siamese-ipynb", "kernel_id": "10256003"}, {"ref": "shubham9455999082/xgboost-cross-validation", "kernel_id": "10843018"}, {"ref": "ngvighnesh/augment-image-and-save-them", "kernel_id": "10232752"}, {"ref": "ngvighnesh/data-cleaning-for-person-information", "kernel_id": "10217887"}, {"ref": "yanastamenova/triple-stratified-kfold-with-tfrecords", "kernel_id": "10862036"}, {"ref": "iammanpreet/kernel394ff2dc36", "kernel_id": "10118606"}, {"ref": "heyytanay/siim-isic-all-you-need-to-get-started", "kernel_id": "10610081"}, {"ref": "forwet/tensorflow-transfer-learning-melanoma", "kernel_id": "10118923"}, {"ref": "aman2k/eda-siim-melanoma", "kernel_id": "10402866"}, {"ref": "arindamdws/melanoma-data-analysis", "kernel_id": "10454387"}, {"ref": "doanquanvietnamca/seresnext50-32x4d-l2norm-binary-head", "kernel_id": "10558590"}, {"ref": "doanquanvietnamca/imbalanced-dataset-sampler", "kernel_id": "10561176"}, {"ref": "doanquanvietnamca/finetune-effnetb2-6-at-512x512", "kernel_id": "10632617"}, {"ref": "doanquanvietnamca/gabor-filter-get-more-infomation-from-jpg", "kernel_id": "10664179"}, {"ref": "doanquanvietnamca/finetune-effnetb1-b6-384x384", "kernel_id": "10615990"}, {"ref": "doanquanvietnamca/efficientnet-densenet-xception-tpu", "kernel_id": "10599479"}, {"ref": "neo1tshesebe/tshesebe-neo", "kernel_id": "10327274"}, {"ref": "andradaolteanu/melanoma-competiton-aug-resnet-effnet-lb-0-91", "kernel_id": "10014309"}, {"ref": "subbhashit/siim-predictions-xgboost-and-resnet50", "kernel_id": "10232269"}, {"ref": "awsaf49/what-exactly-our-model-is-learning", "kernel_id": "10094307"}, {"ref": "josealways123/third-step-tf-tpus", "kernel_id": "10374470"}, {"ref": "praveenthenraj/melanomaclassification-inceptionv3-gpu", "kernel_id": "10921645"}, {"ref": "aditya48/melanoma-classification-starter", "kernel_id": "10482812"}, {"ref": "ajaykumar7778/melanoma-siim-isic-2020-fast-ai-efficientnetb2", "kernel_id": "10796283"}, {"ref": "ajaykumar7778/efficientnet-cv", "kernel_id": "10988453"}, {"ref": "ajaykumar7778/triple-stratified-kfold-with-tfrecords", "kernel_id": "10624248"}, {"ref": "ajaykumar7778/create-tf-records", "kernel_id": "10030978"}, {"ref": "namanj27/data-exploration-siim-isic-melanoma", "kernel_id": "10833971"}, {"ref": "namanj27/xgboost-basic-preprocessing-tabular-data", "kernel_id": "10831513"}, {"ref": "gaaauravvv/siim-isic-melanoma-hemansai-g", "kernel_id": "10643012"}, {"ref": "soumya9977/kernel61b65f025f-siim", "kernel_id": "10085543"}, {"ref": "sanyam83/siim-melanoma-classification", "kernel_id": "10072586"}, {"ref": "zefirchik/melonoma-sgd", "kernel_id": "10589214"}, {"ref": "zefirchik/detecting-size-nevus", "kernel_id": "10704625"}, {"ref": "zefirchik/tabular-data-0-8313", "kernel_id": "10889906"}, {"ref": "zefirchik/table-predict-0-8270", "kernel_id": "10849253"}, {"ref": "zefirchik/crazy-1344-table-valued-parameter-auc-0-8592", "kernel_id": "10999139"}, {"ref": "masayukihigashi/melanoma-classification-eda-starter", "kernel_id": "10530986"}, {"ref": "meraxes10/melanoma-complete", "kernel_id": "10003421"}, {"ref": "vardan98/fork-of-analysis-of-melanoma-metadata-and-effnet-e", "kernel_id": "10970012"}, {"ref": "vardan98/analysis-of-melanoma-metadata-and-effnet-ensemble", "kernel_id": "10906518"}, {"ref": "vardan98/single-effnet-testing", "kernel_id": "10996662"}, {"ref": "sumanth13131/kernel7bb935d073", "kernel_id": "10407518"}, {"ref": "matthewchung/test-tpu", "kernel_id": "10401838"}, {"ref": "matthewchung/melanoma-pytorch-starter-efficientnet-standardiz", "kernel_id": "10433786"}, {"ref": "stephenfenel/torch-melanoma-gpu", "kernel_id": "10207865"}, {"ref": "morenovanton/melanoma-classification-xgboost", "kernel_id": "10296295"}, {"ref": "zaialpha/melanoma-plus-sampling", "kernel_id": "10641246"}, {"ref": "vbhargav875/efficientnet-b5-b6-b7-tf-keras", "kernel_id": "10431989"}, {"ref": "waelkh/inceptionresnet-with-tpus-score-0-90", "kernel_id": "10566532"}, {"ref": "bajuyan/efficientb1-5fold-pytorch-with-no-external-data", "kernel_id": "10677327"}, {"ref": "shivyshiv/pytorch-efficientnet-gridmask-inference-training", "kernel_id": "10388945"}, {"ref": "send2arijit/melanoma-classification-eda-and-prediction", "kernel_id": "10347132"}, {"ref": "wrrosa/siim-lime-explanations", "kernel_id": "10555561"}, {"ref": "jeyachithrasankar/kernel-imgresize", "kernel_id": "10140715"}, {"ref": "rivals16/efficientnet-b7-melanoma-classification", "kernel_id": "10892360"}, {"ref": "sangeethamanoharan/melanoma-classification", "kernel_id": "10565630"}, {"ref": "katsuyanomura/202007", "kernel_id": "10718990"}, {"ref": "teyang/melanoma-detection-using-effnet-and-meta-data", "kernel_id": "10532179"}, {"ref": "benboren/tfrecord-progressive-sprinkles", "kernel_id": "10998655"}, {"ref": "tachyon777/fork-of-melanoma-tachyon-eda", "kernel_id": "10919154"}, {"ref": "siddheshpujari/skin-melanoma-classification-eda-kfold-resnet50", "kernel_id": "10451630"}, {"ref": "hubinb/siim-isic-hh", "kernel_id": "10338009"}, {"ref": "aryanpandey1109/melanoma-tpu-attempt", "kernel_id": "10507602"}, {"ref": "aryanpandey1109/melanoma-combining-text-input-with-efficientnetb7", "kernel_id": "10075897"}, {"ref": "rohitagarwal08/rohit", "kernel_id": "10008932"}, {"ref": "rohitagarwal08/kernel261e9f461f", "kernel_id": "10455488"}, {"ref": "tikoboss/effb7-rn152v2-inceptionv3", "kernel_id": "10388277"}, {"ref": "tikoboss/panda-densenet-keras-starter-tpu-563d0d", "kernel_id": "10750132"}, {"ref": "tikoboss/skin-cancer-siim-melanoma", "kernel_id": "10959623"}, {"ref": "ashutosh619sudo/densenet201-siim-isic-melanoma-classification", "kernel_id": "10687209"}, {"ref": "ashutosh619sudo/learn-medical-image-classification-with-pytorch", "kernel_id": "10779784"}, {"ref": "urayukitaka/preparation-before-creating-predictive-model-eda", "kernel_id": "10538262"}, {"ref": "mahmoodhoseini/siim-isic-notebook-0-951-top-6", "kernel_id": "10800930"}, {"ref": "mahmoodhoseini/blending-submissions-0-955", "kernel_id": "10745186"}, {"ref": "granjithkumar/arima-time-series-forecasting-with-python", "kernel_id": "10527686"}, {"ref": "youngjunjung/my-first-siim-xgb", "kernel_id": "10981415"}, {"ref": "nataliaborges/compara-o-entre-modelos-usando-keras", "kernel_id": "10403371"}, {"ref": "abqyum/xgboost-calibratedclassifiercv-power-of-tpu", "kernel_id": "10568707"}, {"ref": "amirarqand/albumentations-in-keras-cv", "kernel_id": "10456823"}, {"ref": "ayumutsuji/meta-data-color-data-dnn-k-fold", "kernel_id": "10758158"}, {"ref": "zainahmad/eda-melanoma-classification-using-tensorflow", "kernel_id": "10955315"}, {"ref": "sergiovirahonda/siim-isic-melanoma-classification", "kernel_id": "10781529"}, {"ref": "allenljw/skin-cancer-image-classification-3", "kernel_id": "10188483"}, {"ref": "allenljw/skin-cancer-image-classification-2", "kernel_id": "10168942"}, {"ref": "basbloemberg/melanoma-pre-trained-vgg-16-notebook", "kernel_id": "10863127"}, {"ref": "shivam17818/test-all-efficientnet-model-b0-b7", "kernel_id": "10607683"}, {"ref": "shivam17818/image-resizer-for-pytorch-training", "kernel_id": "10569434"}, {"ref": "datafan07/analysis-of-melanoma-metadata-and-effnet-ensemble", "kernel_id": "10730963"}, {"ref": "datafan07/eda-modelling-of-the-external-data-inc-ensemble", "kernel_id": "10974166"}, {"ref": "denozavrus/melanoma-classification", "kernel_id": "10342712"}, {"ref": "denozavrus/kernel23f49c2734", "kernel_id": "10502120"}, {"ref": "digvijayyadav/getting-started-with-tfrecords", "kernel_id": "10767984"}, {"ref": "ryushisa/analysis", "kernel_id": "10266191"}, {"ref": "sayakdasgupta/siim-isic-melanoma-efficientnet-on-pytorch-tpus", "kernel_id": "10186457"}, {"ref": "chen2222/lgb-mlp-ridge-stacking-effnet-oof-with-meta", "kernel_id": "10906491"}, {"ref": "chen2222/ridge-lgb-nn-on-meta-data-optuna-focal-loss", "kernel_id": "10891530"}, {"ref": "sayantankarmakar/siim-isic-melanoma-starter-pack", "kernel_id": "10214922"}, {"ref": "sayantankarmakar/siim-isic-efficientnet-metadata-pytorch", "kernel_id": "10414411"}, {"ref": "kckamojjala/melanoma-cnn-in-r", "kernel_id": "10027327"}, {"ref": "jagadish13/melanoma-detection-efficientnetb7-tpu-eda", "kernel_id": "10341245"}, {"ref": "marcoalexandreramos/melanoma-cnn-with-pytorch-using-efficientnet", "kernel_id": "10631545"}, {"ref": "resist/siim-isic-pre", "kernel_id": "10025164"}, {"ref": "sujaykonda/melanoma", "kernel_id": "10765598"}, {"ref": "davidelibenzi/accelerator-power-hour-pytorch-tpu", "kernel_id": "10440006"}, {"ref": "bravehart101/melanomadetector-part-1", "kernel_id": "10477040"}, {"ref": "bravehart101/melanomadetector-part-2", "kernel_id": "10576610"}, {"ref": "jbadvincula/siim-isic-melanoma-classification", "kernel_id": "10553739"}, {"ref": "gyanaluckydas/384x384", "kernel_id": "10384324"}, {"ref": "gyanaluckydas/384x288", "kernel_id": "10384397"}, {"ref": "siddhartamukherjee/melanoma-classification-eda-smote-densenet-lgbm", "kernel_id": "10410122"}, {"ref": "parthapratimbanik/siim-isic2020-training-tfrecs-17181920", "kernel_id": "10966125"}, {"ref": "shisham/melanoma-detection-using-resnet50", "kernel_id": "10717413"}, {"ref": "shisham/transfer-learning-using-resnet50", "kernel_id": "10881012"}, {"ref": "timothyalexjohn/melanoma-classification-challenge", "kernel_id": "10914123"}, {"ref": "riteshmanna/melanoma", "kernel_id": "10904952"}, {"ref": "edkahara/fast-ai-v3-melanoma-classification", "kernel_id": "10084878"}, {"ref": "samuelvedrik/pytorch-melanoma-efficientnet", "kernel_id": "10332970"}, {"ref": "samuelvedrik/tf-keras-efficientnet-classifier", "kernel_id": "10062794"}, {"ref": "vaidicjain/siim-deeplearning-basic-model-best-score-of-87", "kernel_id": "10558061"}, {"ref": "ritachetadas/melanoma-with-h2o-automl-4", "kernel_id": "10883842"}, {"ref": "enriquecordertvi/melanoma-keras-efn", "kernel_id": "10274410"}, {"ref": "amyjang/tensorflow-transfer-learning-melanoma", "kernel_id": "10002924"}, {"ref": "blurredmachine/siim-isic-an-ensemble-beginner-s-approach", "kernel_id": "10627930"}, {"ref": "paklau9/minmax-highest-public-lb-9619", "kernel_id": "10826715"}, {"ref": "arshiazarrabi/data-generator", "kernel_id": "10334462"}, {"ref": "fadzlinrafi/l2-regularization-to-improve-accuracy", "kernel_id": "10348974"}, {"ref": "fadzlinrafi/testing-different-efficientnets", "kernel_id": "10286942"}, {"ref": "fadzlinrafi/kernel750f904e3a", "kernel_id": "10220331"}, {"ref": "fadzlinrafi/different-image-sizes", "kernel_id": "10239682"}, {"ref": "thevheed/smc-kernel", "kernel_id": "10644777"}, {"ref": "estau2020/melanoma-result-view", "kernel_id": "10756736"}, {"ref": "estau2020/melanoma-elihu-resnet", "kernel_id": "10829037"}, {"ref": "jumpingmandt/skin-cancer-melanoma-classification-study", "kernel_id": "10940475"}, {"ref": "anthonyilhat/notebook-epsi-i1-g3-2020", "kernel_id": "10535952"}, {"ref": "preetigomathinayagam/melanoma2", "kernel_id": "10636134"}, {"ref": "preetigomathinayagam/kernel1e29e34a5f", "kernel_id": "10617692"}, {"ref": "preetigomathinayagam/fork-of-melanoma2", "kernel_id": "10672189"}, {"ref": "preetigomathinayagam/melanoma-pytorch-using-resnet18-ef5e18", "kernel_id": "10698343"}, {"ref": "preetigomathinayagam/fork-of-multimodal-melanoma-classification-bea518", "kernel_id": "10820825"}, {"ref": "preetigomathinayagam/conf-matrix-photo-melanoma-pytorch-resnet18", "kernel_id": "10820543"}, {"ref": "preetigomathinayagam/melanomagithubwebsitecode", "kernel_id": "10823071"}, {"ref": "preetigomathinayagam/gradcam", "kernel_id": "10747300"}, {"ref": "ozankeremtelkok/kernel6b792c346c", "kernel_id": "10864052"}, {"ref": "ozankeremtelkok/kernel7dd94d0169", "kernel_id": "10863523"}, {"ref": "ozankeremtelkok/kernel481cf8b656", "kernel_id": "10862340"}, {"ref": "ozankeremtelkok/kernel4c5108de10", "kernel_id": "10862270"}, {"ref": "ozankeremtelkok/kernel7630200c73", "kernel_id": "10862280"}, {"ref": "ozankeremtelkok/kernel23b0f89a2e", "kernel_id": "10857471"}, {"ref": "ozankeremtelkok/kernel158049a65c", "kernel_id": "10857387"}, {"ref": "ozankeremtelkok/kernel6b79318a7f", "kernel_id": "10857407"}, {"ref": "ozankeremtelkok/kernel12143c10e1", "kernel_id": "10857428"}, {"ref": "sgrahkgg/simple-cnn-baseline-from-scratch-10min-training", "kernel_id": "10724176"}, {"ref": "fifantor50/create-tfrecords-fpr-prostate-cancer-grade", "kernel_id": "10797073"}, {"ref": "prk007/siim-melanoma-fast-ai-img-tab-adv-aug", "kernel_id": "10456358"}, {"ref": "chikezieegbuziem/kernel696bfce468", "kernel_id": "10439394"}, {"ref": "tbn476/multimodal-melanoma-classification-vgg16", "kernel_id": "10802302"}, {"ref": "erebusue/multimodal-melanoma-classification", "kernel_id": "10734584"}, {"ref": "erebusue/kernel7c1397ec6d", "kernel_id": "10708859"}, {"ref": "minnieliang/conf-matrix-photo-melanoma-pytorch", "kernel_id": "10767758"}, {"ref": "minnieliang/multimodal-melanoma-model-with-conf-matrix", "kernel_id": "10765849"}, {"ref": "minnieliang/saliency-maps-melanoma", "kernel_id": "10752593"}, {"ref": "minnieliang/gradcam-melanoma", "kernel_id": "10748250"}, {"ref": "minnieliang/train-confusion-matrix", "kernel_id": "10764726"}, {"ref": "minnieliang/val-confusion-matrix", "kernel_id": "10762174"}, {"ref": "minnieliang/melanoma-multimodal-modeled-after-chest-xray", "kernel_id": "10675910"}, {"ref": "minnieliang/hair-augmentation-pics", "kernel_id": "10709208"}, {"ref": "minnieliang/multimodal-melanoma-classification", "kernel_id": "10733462"}, {"ref": "minnieliang/fork-of-melanoma-multimodal-modeled-after-chest", "kernel_id": "10727149"}, {"ref": "minnieliang/inputting-melanoma-data", "kernel_id": "10618497"}, {"ref": "minnieliang/photo-melanoma-pytorch", "kernel_id": "10639947"}, {"ref": "pierretaiton/kernel2c85638c58", "kernel_id": "10577161"}, {"ref": "thibautmolina/bigdata-groupe7", "kernel_id": "10589669"}, {"ref": "juliaannesolignac/julias", "kernel_id": "10577774"}, {"ref": "mohankshirsagar/analyzing-melanoma-see-like-dermatologist", "kernel_id": "10984720"}, {"ref": "azhao20/triple-stratified-kfold-with-tfrecords", "kernel_id": "10960915"}, {"ref": "clariseliu/triple-stratified-kfold-with-tfrecords-a22bd3", "kernel_id": "10945324"}, {"ref": "alexxanderlarko/how-to-create-tfrecords", "kernel_id": "11204883"}, {"ref": "sachin/torch-lightning-3-tpu", "kernel_id": "11126722"}, {"ref": "shravankoninti/metadata-baseline-submission", "kernel_id": "11200168"}, {"ref": "cpmpml/number-of-public-melanoma-is-78-or-77", "kernel_id": "11056273"}, {"ref": "mpsampat/simple-oof-ensembling-methods-6-models", "kernel_id": "11229900"}, {"ref": "mpsampat/final-simple-oof-ensembling-methods-6-models", "kernel_id": "11247627"}, {"ref": "steubk/simple-oof-ensembling-methods-for-classification", "kernel_id": "11161855"}, {"ref": "sudhanshuraheja/iisc-back-to-tensorflow-stuck-on-ooms", "kernel_id": "11224912"}, {"ref": "sudhanshuraheja/iisc-pytorch-last-ditch-effort", "kernel_id": "11205933"}, {"ref": "sudhanshuraheja/siim-isic-dataset", "kernel_id": "11124327"}, {"ref": "sudhanshuraheja/siim-isic-melanoma-classification", "kernel_id": "11113336"}, {"ref": "debashissanyal/siim-tf2-augmentation-with-tfa-effnets", "kernel_id": "11046365"}, {"ref": "helgith/stacking-with-catboost-0-9432-private-lb", "kernel_id": "11271290"}, {"ref": "haqishen/1st-place-soluiton-best-model-infer", "kernel_id": "11258765"}, {"ref": "haqishen/1st-place-soluiton-code-small-ver", "kernel_id": "11252594"}, {"ref": "zeus75/eda-melanoma-classification", "kernel_id": "11153647"}, {"ref": "kozodoi/pre-training-on-full-data-with-surrogate-labels", "kernel_id": "11323491"}, {"ref": "rooster06/melanoma-ml-effnet", "kernel_id": "11327334"}, {"ref": "jalfano/notebook183be855bf", "kernel_id": "11943740"}, {"ref": "aybatov/category-melanoma-default-loop", "kernel_id": "11117073"}, {"ref": "truonghoang/first-silver-medal", "kernel_id": "11260792"}, {"ref": "bootiu/melanoma-pytorch-lightning-starter", "kernel_id": "11036237"}, {"ref": "raynardj/rethink-on-dataset-gastly-resliced-image", "kernel_id": "11145161"}, {"ref": "suntech/triple-stratified-kfold-with-tfrecords", "kernel_id": "11178528"}, {"ref": "krisho007/fork-of-melanoma-with-pylightning-256-b0", "kernel_id": "11182913"}, {"ref": "krisho007/melanoma-with-pylightning-384-b0", "kernel_id": "11194141"}, {"ref": "krisho007/melanoma-with-pylightning-128-b0", "kernel_id": "11197700"}, {"ref": "krisho007/melanoma-with-pylightning-192-b0", "kernel_id": "11204995"}, {"ref": "krisho007/melanoma-with-pytorch-lightning-single-model", "kernel_id": "11147176"}, {"ref": "salazarslytherin/melanoma-minmax", "kernel_id": "11167886"}, {"ref": "shaitender/pytorch-efficientnet", "kernel_id": "11173875"}, {"ref": "andrijdavid/melanomia-merge-external-data", "kernel_id": "11383788"}, {"ref": "bharatsahu/different-effinet-implementations-at-your-tips", "kernel_id": "11077723"}, {"ref": "rajnishe/rc-siim-autoencoder-model", "kernel_id": "11218280"}, {"ref": "rajnishe/fork-of-siim-inference-ensemble-v1", "kernel_id": "11125262"}, {"ref": "rajnishe/rc-siim-xgboost-tabdata", "kernel_id": "11108067"}, {"ref": "rajnishe/rc-siim-one-class-model", "kernel_id": "11095056"}, {"ref": "rajnishe/gan-image-model", "kernel_id": "11062245"}, {"ref": "atrisaxena/melanoma-eda-vgg-keras-starter", "kernel_id": "11210585"}, {"ref": "jaronthompson/pytorch-efficient-net-with-2019-2020-isic-data", "kernel_id": "11090569"}, {"ref": "sarmahpallabi/melanoma-classification-understanding-the-data", "kernel_id": "11127819"}, {"ref": "vladimirsydor/solution-private-score-0-9498-not-selected", "kernel_id": "11258063"}, {"ref": "tusharkale/melanoma-detection-with-pytorch", "kernel_id": "11960231"}, {"ref": "cdeotte/forward-selection-oof-ensemble-0-942-private", "kernel_id": "11259553"}, {"ref": "khoongweihao/post-processing-technique-c-f-1st-place-jigsaw", "kernel_id": "11025610"}, {"ref": "chadgostopp/single-effnet-model-without-meta-data-blendind", "kernel_id": "11219863"}, {"ref": "teeyee314/melanoma-gcs-paths", "kernel_id": "11184535"}, {"ref": "servietsky/dark-magic-blending-0-9603", "kernel_id": "11108729"}, {"ref": "roydatascience/silver-medal-solution-private-lb-9445", "kernel_id": "11203220"}, {"ref": "shikha130vv/amazingly-fast-kernel-0-9402", "kernel_id": "11062419"}, {"ref": "wessam611/siim-melanoma-classification", "kernel_id": "11151221"}, {"ref": "ipythonx/optimizing-metrics-out-of-fold-weights-ensemble", "kernel_id": "11098980"}, {"ref": "mfrancis23/cnn-visualizing-activations", "kernel_id": "11174706"}, {"ref": "margipatel/finalsubmission-melanomaclassification", "kernel_id": "11108573"}, {"ref": "akashsuper2000/forward-selection-oof-ensembling", "kernel_id": "11270784"}, {"ref": "akashsuper2000/eda-modelling-of-the-external-data-inc-ensemble", "kernel_id": "11045641"}, {"ref": "akashsuper2000/tfrecord-experiments-upsample-and-coarse-dropout", "kernel_id": "11019977"}, {"ref": "akashsuper2000/minmax-highest-public", "kernel_id": "11086826"}, {"ref": "kunduruanil/image-tabulardata", "kernel_id": "11151770"}, {"ref": "gopidurgaprasad/siim-final-d201-ns", "kernel_id": "11175916"}, {"ref": "gopidurgaprasad/optimize-auc-using-oof", "kernel_id": "11264164"}, {"ref": "ladanova/siim-isic-melanoma-classification", "kernel_id": "11046031"}, {"ref": "jagdmir/all-you-need-to-know-about-cnns", "kernel_id": "11992079"}, {"ref": "jagdmir/vgg16-model", "kernel_id": "11176177"}, {"ref": "foodaholic/single-model-effnetb6-with-metadata-2019-2020", "kernel_id": "11253602"}, {"ref": "foodaholic/efficientnetb6-with-metadata-2019-2020", "kernel_id": "11097596"}, {"ref": "deepakd14/efficient-ensembling-highest-public-lb-0-9646", "kernel_id": "11234580"}, {"ref": "niteshx2/full-pipeline-dual-input-cnn-model-with-tpus", "kernel_id": "11094146"}, {"ref": "rahulsingh731/eda-of-melanoma-metadata", "kernel_id": "11078561"}, {"ref": "mihitraj/stacking-ensemble-on-my-submissions-kagging", "kernel_id": "11166360"}, {"ref": "itsuki9180/kernel204223933e", "kernel_id": "11002648"}, {"ref": "itsuki9180/private-0-9406-bfl-ganaug", "kernel_id": "11247371"}, {"ref": "ramjib/melonoma-tpu", "kernel_id": "11094016"}, {"ref": "ramjib/melonoma-ml", "kernel_id": "11181121"}, {"ref": "c7934597/triple-stratified-kfold-with-tfrecords", "kernel_id": "11213310"}, {"ref": "captaintyping/fork-of-siim-isic-melanoma-random-forest-cnn", "kernel_id": "11608543"}, {"ref": "sai1881/resnet152v2-melanoma-classification", "kernel_id": "11072977"}, {"ref": "forlucas27/melanoma-classification-v2", "kernel_id": "11074364"}, {"ref": "imeintanis/melanoma-post-competition-shake-up-report-final", "kernel_id": "11250967"}, {"ref": "azaemon/blending-outputs", "kernel_id": "11151868"}, {"ref": "hiramcho/melanoma-efficientnetb6-with-attention-mechanism", "kernel_id": "11110277"}, {"ref": "vatsalparsaniya/oof-pseudo-labeling-stacking-with-metadata", "kernel_id": "11233897"}, {"ref": "hjhalani30/plotting-siim", "kernel_id": "11335351"}, {"ref": "hjhalani30/effnet-1", "kernel_id": "11447995"}, {"ref": "bipinkrishnan/starter-notebook-for-training-a-pytorch-model", "kernel_id": "11493510"}, {"ref": "jaygala24/melanoma-classification-using-tensorflow", "kernel_id": "11031538"}, {"ref": "projdev/chris-submission-oof-weighted-ensemble-prlb-0-9427", "kernel_id": "11268495"}, {"ref": "meheraj2325/fork-of-siim-baseline-keras", "kernel_id": "11242165"}, {"ref": "sawans/rank-and-blend-multiple-submission-files", "kernel_id": "11197361"}, {"ref": "ramandutt/melanoma-classification-with-a-different-thought", "kernel_id": "11047328"}, {"ref": "nerozang/train-cv-b5", "kernel_id": "11157640"}, {"ref": "nerozang/train-cv-b5-2", "kernel_id": "11169186"}, {"ref": "doncalculator/tensorflow-vs-pytorch-part-2-pytorch", "kernel_id": "11330921"}, {"ref": "doncalculator/tensorflow-vs-pytorch-part-1-tensorflow", "kernel_id": "11331672"}, {"ref": "ayushn2000/melanoma-classification", "kernel_id": "11259445"}, {"ref": "praveen648/siim-isic-densenet", "kernel_id": "11083399"}, {"ref": "aqifilyaskhan/siim-isic-melanoma-classification-using-vgg-16", "kernel_id": "11428514"}, {"ref": "maisonhai3/cbd-melanoma-maihai", "kernel_id": "11552284"}, {"ref": "abhijeetbhilare/siim-isic-melanoma-xgboost", "kernel_id": "11012404"}, {"ref": "sagar7390/simple-ensemble-everywhere-approach-lb-0-9433", "kernel_id": "11126204"}, {"ref": "aakashveera/ensemble-512-with-dropout", "kernel_id": "11158399"}, {"ref": "aakashveera/efficient-ensemble-with-all-data", "kernel_id": "11107451"}, {"ref": "praveenthenraj/melanoma-tensorflow-beginner-incepv3-gpu-84-74", "kernel_id": "11166816"}, {"ref": "ajaykumar7778/fork-of-ensemble-melanoma-ac9964", "kernel_id": "11017385"}, {"ref": "antocad/siim-isic-image-preprocessing-dull-razor", "kernel_id": "11037698"}, {"ref": "janmalin/simple-app-for-inspecting-the-dataset", "kernel_id": "11708873"}, {"ref": "bhadaneeraj/siim-isic-melanoma", "kernel_id": "11037150"}, {"ref": "zefirchik/size-nevus-parametr", "kernel_id": "11128060"}, {"ref": "nelsontseng/train-cv", "kernel_id": "11104085"}, {"ref": "nelsontseng/melanoma-efficientnetb6-with-attention-mechanism", "kernel_id": "11140151"}, {"ref": "hzhaobang/melanoma-tabular-preprocessing-and-xgboost", "kernel_id": "11043382"}, {"ref": "vardan98/majority-mean-effnet-ensemble", "kernel_id": "11017254"}, {"ref": "vardan98/effnet-isic-testing-single", "kernel_id": "11774803"}, {"ref": "vardan98/effnet-kfold-final", "kernel_id": "11895866"}, {"ref": "nooblearning/tfrec-512x512", "kernel_id": "11162425"}, {"ref": "mainak09/notebookfc0423f48a", "kernel_id": "11218650"}, {"ref": "masdevallia/melanoma-classification-predictions", "kernel_id": "11514921"}, {"ref": "masdevallia/melanoma-classification-model-training", "kernel_id": "11502382"}, {"ref": "wrrosa/gcs-bucket-addresses-utility-package", "kernel_id": "11014261"}, {"ref": "tachyon777/melanoma-tachyon-simplemodel-v1", "kernel_id": "11419581"}, {"ref": "tachyon777/melanoma-tachyon-v12", "kernel_id": "11305762"}, {"ref": "sakshibutala/siim-isic-melanoma-classification", "kernel_id": "11822376"}, {"ref": "aman2000jaiswal/notebook669a50d2bb", "kernel_id": "11233699"}, {"ref": "aman2000jaiswal/siim-classification", "kernel_id": "11034891"}, {"ref": "tikoboss/resized-images", "kernel_id": "11979649"}, {"ref": "tikoboss/the-best-results-for-this-competition", "kernel_id": "11904684"}, {"ref": "tikoboss/test-of-aug-by-tko-okt", "kernel_id": "11315310"}, {"ref": "tikoboss/fork-of-efficientnetb0-b7-dfb4f6", "kernel_id": "11233626"}, {"ref": "tikoboss/how-to-create-tfrecords-by-tko-okt", "kernel_id": "11119048"}, {"ref": "tikoboss/test-augmentation", "kernel_id": "11037982"}, {"ref": "tikoboss/tko-okt", "kernel_id": "11027838"}, {"ref": "tikoboss/fork-of-efficientnetb0-b7-343d5b", "kernel_id": "11011982"}, {"ref": "rahim3/melanoma-classification", "kernel_id": "11166864"}, {"ref": "sandhiwangiyana/melanoma-and-gan", "kernel_id": "11193875"}, {"ref": "tuckerarrants/melanoma-5fold-efficientnet-augmentation-s", "kernel_id": "11228975"}, {"ref": "dasariganesh/notebook85984c7633", "kernel_id": "11238841"}, {"ref": "farji402/siim-with-classical-machine-learning", "kernel_id": "11208508"}, {"ref": "zainahmad/stacked-ensemble-with-deep-learning-tf", "kernel_id": "11124992"}, {"ref": "zainahmad/kfold-with-efficientnet-and-image-augumentation", "kernel_id": "11009490"}, {"ref": "zainahmad/melanoma-classification-transfer-learning-with-tf", "kernel_id": "11079492"}, {"ref": "datafan07/final-melanoma-model-16th-place-solution-light-v", "kernel_id": "11318813"}, {"ref": "aliabdin1/siim-isic-melanoma-pytorch-xla-tpu-8-cores", "kernel_id": "11152762"}, {"ref": "nischaydnk/ligthgbm-stack-groupkfold-786d66", "kernel_id": "11161502"}, {"ref": "sayantankarmakar/siim-isic-melanoma-classification-with-fastai-v2", "kernel_id": "11823423"}, {"ref": "ananmaysuri/melanoma-tfrecords-upsample-and-coarse-dropout", "kernel_id": "11179723"}, {"ref": "gennarorodrigues/vgg16-xgboost", "kernel_id": "11232528"}, {"ref": "ilosvigil/stratified-kfold-with-tfrecords-gridmask", "kernel_id": "11159255"}, {"ref": "ilosvigil/lgb-only-metadata-public-private-0-6524-0-7156", "kernel_id": "11228405"}, {"ref": "ilosvigil/simple-ensemble-public-private-lb-0-9658-0-9369", "kernel_id": "11242970"}, {"ref": "samklein/submission-and-tta-exploration", "kernel_id": "11044912"}, {"ref": "samklein/learning-from-multiple-embeddings", "kernel_id": "11249366"}, {"ref": "samklein/stacking-predictions-and-image-encodings", "kernel_id": "11247792"}, {"ref": "vadimtimakin/multisession-k-fold-af-dataset", "kernel_id": "11099212"}, {"ref": "micheledifazio/transfer-learning-cyclical-lr-pytorch", "kernel_id": "11046218"}, {"ref": "anujjangra/kernel695fb13378", "kernel_id": "11130964"}, {"ref": "yohannesanalytics/tensorflow-tpu-in-human-readable-way", "kernel_id": "11287455"}, {"ref": "happycoding11/eda-modelling-of-the-external-data-inc-ensemble", "kernel_id": "11146760"}, {"ref": "fuyixing/melanoma-tpu-keras-tuner-no-tabular-data", "kernel_id": "11171241"}, {"ref": "nhm1440/image-metadata-with-keras-imagedatagenerator", "kernel_id": "11236175"}, {"ref": "fifantor50/test-of-augmentation-tko-okt", "kernel_id": "11143813"}, {"ref": "minnieliang/multimodal-melanoma-model-pretrained-resnet-vgg", "kernel_id": "11111337"}, {"ref": "annakim09/kernel71d7fddb29", "kernel_id": "11081884"}, {"ref": "solennejackson/ai-final-project", "kernel_id": "11081967"}, {"ref": "charlesanderson/melanoma-hair-remove", "kernel_id": "11358397"}, {"ref": "canaldaciencia/melanoma-espa-o-de-cores", "kernel_id": "11388978"}, {"ref": "yeon1234/train-cv-068ec0", "kernel_id": "11114115"}, {"ref": "yeon1234/train-cv", "kernel_id": "11114084"}, {"ref": "tianyidai227/remove-hair", "kernel_id": "11953818"}, {"ref": "dkim1993/effnet-vgg-test-run", "kernel_id": "11981124"}, {"ref": "yoctoman/triple-stratified-kfold-with-tfrec-nasnet-upd", "kernel_id": "12058927"}, {"ref": "richardtsai0/melanoma-classification-with-efficientnet", "kernel_id": "12025591"}, {"ref": "tunguz/melanoma-with-embeddings-and-rapids", "kernel_id": "12479429"}, {"ref": "hurrdurrrderp/first-submission-melanoma", "kernel_id": "12445200"}, {"ref": "sd4321/latest-fastai-v2-training-inference-predictions", "kernel_id": "12078830"}, {"ref": "sd4321/fastai-v2-training-inference-prediction", "kernel_id": "12663870"}, {"ref": "sd4321/fastai-v2-learning-rate-finder-explained", "kernel_id": "12784822"}, {"ref": "dabawse/melanoma-classification", "kernel_id": "12741311"}, {"ref": "dskagglemt/siim-isic-melanoma-classification", "kernel_id": "12982903"}, {"ref": "anthonyleo86/final-efficientnetb0", "kernel_id": "12138100"}, {"ref": "tachyon777/melanoma-tachyon-simplemodel-v1-sub", "kernel_id": "12230929"}, {"ref": "tikoboss/how-to-create-tfrecords-0187dc", "kernel_id": "12001609"}, {"ref": "tikoboss/fork-of-tko-okt-skin-cancer-tko-okt-2020-dae6f1", "kernel_id": "12484354"}, {"ref": "tikoboss/fork-of-efficientnetb7-resnet152v2-inceptio-3a6484", "kernel_id": "12662721"}, {"ref": "tikoboss/ocular-disease-recognition-2020", "kernel_id": "12802586"}, {"ref": "sreyareddy15/devfest2020identifyingmelanomainlesionimages", "kernel_id": "12353477"}, {"ref": "fifantor50/fork-of-efficientnetb7-resnet152v2-inceptio-3a6484", "kernel_id": "12804435"}, {"ref": "itsmekhey/fork-of-incredible-tpus-finetune-effnetb0-02bbf3", "kernel_id": "12451007"}, {"ref": "tianyidai227/greyscale", "kernel_id": "12345003"}, {"ref": "marialundinbrenna/siim-melanoma-classification-modelling", "kernel_id": "12550935"}, {"ref": "tomsegal/tom-segal-s-siim-isic-melanoma-classification", "kernel_id": "12177016"}, {"ref": "mnowak061/melanoma-classification-tfrec-efficientnets", "kernel_id": "12859418"}, {"ref": "annasofielunde/machinelearning-tdt4173-cnn", "kernel_id": "12547823"}, {"ref": "annasofielunde/machinelearning-tdt4173", "kernel_id": "12444371"}, {"ref": "annasofielunde/xgboost-on-metadata-for-ml", "kernel_id": "12840472"}, {"ref": "saschamet/siim-isic-melanoma-classification", "kernel_id": "13171978"}, {"ref": "sneha5gsm/melanoma-classification-cnn", "kernel_id": "13828743"}, {"ref": "system32/2019-2020jpeg512x512melanoma-image-dataset-prep", "kernel_id": "13310055"}, {"ref": "system32/melanoma-2-fold", "kernel_id": "13281899"}, {"ref": "drcapa/melanoma-classifier-tpu-tutorial", "kernel_id": "13390346"}, {"ref": "reighns/melanoma-in-sync-with-github", "kernel_id": "13379864"}, {"ref": "genialgokul1099/melanoma-classification", "kernel_id": "13284220"}, {"ref": "satyaprakash13820/siim-skincancer-eficientnet-implementation", "kernel_id": "13977922"}, {"ref": "blindprimate/melanoma-final", "kernel_id": "13858932"}, {"ref": "gwynethvolkman/tensorflow-transfer-learning-melanoma", "kernel_id": "13753743"}, {"ref": "marialundinbrenna/machinelearning-tdt4173-cnns", "kernel_id": "13016235"}, {"ref": "mattg42/efficientnet-tpu", "kernel_id": "13818673"}, {"ref": "mattg42/supporting-functions", "kernel_id": "13820586"}, {"ref": "annasofielunde/machinelearning-tdt4173-cnn-model1", "kernel_id": "13016006"}, {"ref": "annasofielunde/machinelearning-tdt4173-cnn-model2", "kernel_id": "13016636"}, {"ref": "amirabbassherafatian/dense", "kernel_id": "13322847"}, {"ref": "amirabbassherafatian/mynotebook", "kernel_id": "13101558"}, {"ref": "octaviomm/melanoma-pytorch-starter-efficientnet", "kernel_id": "14773971"}, {"ref": "random064/reproduce-results-of-a-paper", "kernel_id": "14349693"}, {"ref": "asubasi/densenet169-features-skincancer", "kernel_id": "14468255"}, {"ref": "asubasi/vgg16-features-skincancer", "kernel_id": "14467709"}, {"ref": "margipatel/generateimages-augmentation", "kernel_id": "14197540"}, {"ref": "rimelmoussi/notebook7b98b6aafa", "kernel_id": "14565094"}, {"ref": "fatmazaoui/m-lanome-classification", "kernel_id": "14568743"}, {"ref": "scarecrow2020/how-to-create-tfrecord-cassava-leaf", "kernel_id": "14692930"}, {"ref": "georginawager/final-report", "kernel_id": "14369832"}, {"ref": "georginawager/cnn-model-1", "kernel_id": "14331318"}, {"ref": "georginawager/cnn-model-2", "kernel_id": "14138385"}, {"ref": "ismouh/dataloagists-melanoma", "kernel_id": "14768936"}, {"ref": "marshath/melanomadetection", "kernel_id": "15953948"}, {"ref": "dipuk0506/feature-extraction-resnet18", "kernel_id": "15664172"}, {"ref": "prithviraj7387/melanoma-classification-eda", "kernel_id": "15994490"}, {"ref": "saschamet/tf-effnetb6-meta-learner-grad-cam", "kernel_id": "15651114"}, {"ref": "jerado/melanoma-classification-predictions-3rd-place", "kernel_id": "15647498"}, {"ref": "amritpal333/hair-augmentation-visualisation", "kernel_id": "15300599"}, {"ref": "himanshupingulkar/adding-images-to-class-folders", "kernel_id": "15096486"}, {"ref": "alisharifi2000/autoencoder-gpu", "kernel_id": "15456565"}, {"ref": "neelgajare/siim-isic-melanoma-classification", "kernel_id": "15179767"}, {"ref": "nargeshasanpour/fork-of-capsnet", "kernel_id": "15846578"}, {"ref": "mattg42/densenet-tpu", "kernel_id": "15520748"}, {"ref": "ahsanulhoq/final-cse299", "kernel_id": "15927207"}, {"ref": "prabhakarbanafar/melonama-classification-efficientnet", "kernel_id": "15772765"}, {"ref": "gokulzuzumaki/melonama-skin-cancerclassification-efficientnet", "kernel_id": "15508641"}, {"ref": "saschamet/melanoma-efficientnetb5-noisy-student", "kernel_id": "16655067"}, {"ref": "houssemayed/cnn-architectures-for-skin-cancer-classification", "kernel_id": "16586082"}, {"ref": "pramod722445/melanoma-basic-training", "kernel_id": "16359552"}, {"ref": "pramod722445/notebookaf17611131", "kernel_id": "16323093"}, {"ref": "wjjl2019/rc-fork-siim-isic-melanoma-384x384", "kernel_id": "16496708"}, {"ref": "arnabsaha6/siim-isic-melanoma-classification-xception", "kernel_id": "16124628"}, {"ref": "yasserhessein/skin-cancer-detection-with-vgg16", "kernel_id": "16329073"}, {"ref": "priyammehta/melanoma-segmentation", "kernel_id": "16569317"}, {"ref": "maryadewunmi/isic-melanoma-classification", "kernel_id": "16523280"}, {"ref": "sameteki/gabor-filter", "kernel_id": "16071809"}, {"ref": "nuru91/melanoma-tpu-transfert-learning", "kernel_id": "16750381"}, {"ref": "shubhamgoel27/siim-data-augmentation-in-tf-hair-batch-affine", "kernel_id": "17033491"}, {"ref": "dipuk0506/melanoma-partial-augmentation-for-balance-512x512", "kernel_id": "17624719"}, {"ref": "dipuk0506/balanced-tl-for-melanoma-classifiction", "kernel_id": "17687041"}, {"ref": "muhakabartay/keras-siim-isic-melanoma-classification-resnet", "kernel_id": "17477250"}, {"ref": "muhakabartay/siim-isic-melanoma-classification-efficientnet", "kernel_id": "17243020"}, {"ref": "alliwene/cancer-class", "kernel_id": "17533766"}, {"ref": "harithapliyal/identifying-melanoma-in-images", "kernel_id": "17353015"}, {"ref": "godnyeon/melanoma-pytorch-starter-efficientnet", "kernel_id": "17486270"}, {"ref": "maverickscientist/melanoma-detection", "kernel_id": "17352914"}, {"ref": "maryadewunmi/siim-isic-melanoma-classification-eda-dicom", "kernel_id": "17547662"}, {"ref": "maryadewunmi/melanoma-classifier-model-with-vgg16-cnn", "kernel_id": "17783959"}, {"ref": "maryadewunmi/isic-melanoma-image-classification-with-cnn", "kernel_id": "17348668"}, {"ref": "prashanthsheri/51efficientnet-bn-tabular-features-tf-cv5-2x512", "kernel_id": "17688662"}, {"ref": "nuru91/skin-cancer-efficientnet-tpu", "kernel_id": "17055212"}, {"ref": "nisargab/melanoma-classification", "kernel_id": "17164914"}, {"ref": "mykolashadler/triple-stratified-kfold-with-tfrec-nasnet-3c1168", "kernel_id": "17172419"}, {"ref": "georgiyiaseshvili/triple-stratified-kfold-with-tfrec-nasnet-upd", "kernel_id": "17163294"}, {"ref": "iasgeo/triple-stratified-kfold-with-tfrec-nasnet-upd", "kernel_id": "17170846"}, {"ref": "abdulhasibuddin/melanoma-classification", "kernel_id": "18224729"}, {"ref": "mikaze/siim-isic-melanoma-classification", "kernel_id": "18676363"}, {"ref": "naadborole/ensemblelearning", "kernel_id": "18673563"}, {"ref": "digvijayyadav/melanoma-detection", "kernel_id": "18855596"}, {"ref": "amineziadounnoughene/skin-cancer", "kernel_id": "18584688"}, {"ref": "sergiodelcarpio/melanoma-prediction-workshop", "kernel_id": "18276271"}, {"ref": "cairox/gr1-melanoma-infer-final", "kernel_id": "18237881"}, {"ref": "thibaultdemay/melanoma-classification-dreamteam", "kernel_id": "18462142"}, {"ref": "capseratz/traitement-par-l-intelligence-artificielle", "kernel_id": "18930089"}, {"ref": "suvooo/melanoma-efficientnet-pytorch", "kernel_id": "19910748"}, {"ref": "prashantjeswani/2-baseline-model", "kernel_id": "20654770"}, {"ref": "jasonhuangcn/random-forest-melanoma-malignancy-classification", "kernel_id": "20409302"}, {"ref": "jasonhuangcn/feature-extraction-glcm-1", "kernel_id": "20248904"}, {"ref": "tamarakorobkova/melanoma-and-gan", "kernel_id": "20835276"}, {"ref": "markositu/melanoma-classification-predictions", "kernel_id": "20426674"}, {"ref": "anhhna/create-tfrecord-sim-isic-2020-melanoma", "kernel_id": "21027515"}, {"ref": "goncaahin/transfer-learning-on-melanoma-images-with-gpu", "kernel_id": "21983924"}, {"ref": "pashikantipranith/skin-cancer-classification-project", "kernel_id": "21336283"}, {"ref": "muhammadmoinfaisal/melanoma-and-gan", "kernel_id": "21929998"}, {"ref": "muhammadmoinfaisal/melanoma-mobilenetv2", "kernel_id": "21911377"}, {"ref": "sinisterxsid/melanoma-detection-with-pytorch", "kernel_id": "21461651"}, {"ref": "mmkim78/validation-of-the-dermai-learning-method", "kernel_id": "21942980"}, {"ref": "anhhna/contours", "kernel_id": "22007049"}, {"ref": "juanmontiel/melanoma-bayes", "kernel_id": "22469434"}, {"ref": "vipulshinde/melanoma-skin-cancer-transfer-learning-xception", "kernel_id": "22310292"}, {"ref": "sgn047/cog-melanoma-class", "kernel_id": "22394156"}, {"ref": "goncaahin/transfer-learning-on-melanoma-images-with-tpu", "kernel_id": "22036838"}, {"ref": "bachaboos/cutmix-and-mixup-on-gpu-tpu-b1f510", "kernel_id": "22531584"}, {"ref": "muhammadmoinfaisal/melanoma-and-gan-99a533", "kernel_id": "22081727"}, {"ref": "garrettwilliams90/first-cnn-model", "kernel_id": "22294715"}, {"ref": "garrettwilliams90/baseline-model", "kernel_id": "22217220"}, {"ref": "venkatarakeshraki/skin-cancer-detection", "kernel_id": "23388940"}, {"ref": "yolanda19510149/melanoma-detail-analysis", "kernel_id": "23936871"}, {"ref": "engineeringfellow/melanoma-pytorch-exp", "kernel_id": "24892869"}, {"ref": "shuangruichen/comp0172-coursework-1", "kernel_id": "24575171"}, {"ref": "abdelrhmanyousry/skin-cancer-detection", "kernel_id": "24992404"}, {"ref": "erdemunal1/melanoma-pytorch-starter-efficientnet", "kernel_id": "25178608"}, {"ref": "nourmohammed/skin-cancer-detection", "kernel_id": "25047546"}, {"ref": "adelhany1/melanoma", "kernel_id": "25258625"}, {"ref": "adelhany1/new-melanoma", "kernel_id": "25507480"}, {"ref": "rohanc7/melanoma-classification", "kernel_id": "25850265"}, {"ref": "deffo0/skin-cancer-detection", "kernel_id": "25133791"}, {"ref": "youssefbazina/skin-cancer-detection", "kernel_id": "25088064"}, {"ref": "mohamedahmedx2/detecting-cancer-lesion", "kernel_id": "25006765"}, {"ref": "piyushmohan01/melanoma-efficientnet-pytorch", "kernel_id": "26438150"}, {"ref": "brucebitwayiki/fork-of-melanoma-classification-d72659", "kernel_id": "26245184"}, {"ref": "ashkhagan/saliency-map-start", "kernel_id": "27225087"}, {"ref": "acakshay/melanoma-pytorch-starter-efficientnet", "kernel_id": "27605058"}, {"ref": "dpgsf3dpgsf3/extraction-dp-melanoma-files", "kernel_id": "27168384"}, {"ref": "hasan1101/melanoma-classification-pytorch-baseline", "kernel_id": "28508800"}, {"ref": "prasundatta/melanoma-classification-data-visualization-eda", "kernel_id": "29305376"}, {"ref": "alisharifi2000/loopaccademy-finalproject", "kernel_id": "29039496"}, {"ref": "emphymachine/how-to-make-tfrecords-glr2021", "kernel_id": "30348672"}, {"ref": "miffke/seresnext50", "kernel_id": "30101484"}, {"ref": "ciniur/melanoma-classification", "kernel_id": "30007496"}, {"ref": "caitlinruble/melanoma-detection-using-fastai-prototype", "kernel_id": "30531755"}, {"ref": "caitlinruble/melanoma-classification-eda", "kernel_id": "30535422"}, {"ref": "craigmcclurkin/cnn-visualizing-activations", "kernel_id": "30086307"}, {"ref": "raselkhondokar/melanoma-train", "kernel_id": "31027743"}, {"ref": "raselkhondokar/melanoma-eda", "kernel_id": "31268826"}, {"ref": "caitlinruble/melanoma-detection-using-fastai-on-resnet34-base", "kernel_id": "31367454"}, {"ref": "avamiller/ganproj-ava-first", "kernel_id": "31978974"}, {"ref": "jonathanjason/melanoma-cnn-using-efficientnet", "kernel_id": "31505416"}, {"ref": "chrisfogel2/1st-place-soluiton-best-model-infer", "kernel_id": "31981483"}, {"ref": "lucagiovanni/dlivp", "kernel_id": "32647648"}, {"ref": "introducingsumit/melanoma-using-gpu", "kernel_id": "32787907"}, {"ref": "kamalinischauhan/melanoma-skin-cancer-transfer-learning-xception", "kernel_id": "32005288"}, {"ref": "rehanahmedkhan/notebookaf17611131", "kernel_id": "32011746"}, {"ref": "hugoarmejo/melanoma-tesis", "kernel_id": "32717812"}, {"ref": "joovictormelodasilva/resnet50", "kernel_id": "32267567"}, {"ref": "waqarahmed163/melanoma-classification-updated", "kernel_id": "33528065"}, {"ref": "mavrokefalidis/dlivp-result-generation", "kernel_id": "33205968"}, {"ref": "kajolmaster/melanoma-classification-01-ipnyb", "kernel_id": "33979198"}, {"ref": "joovictormelodasilva/vis-nn", "kernel_id": "33073734"}, {"ref": "shurukarein/data-prep-mel", "kernel_id": "33083947"}, {"ref": "istiak/melanoma-eda", "kernel_id": "34239399"}, {"ref": "quangnhatbui/cancer-cassification", "kernel_id": "34132474"}, {"ref": "adaravsian/skin-classification-v3", "kernel_id": "34130391"}, {"ref": "darshitrupapara77/g7-melanoma-skin-cancer-detection-eda", "kernel_id": "34702447"}, {"ref": "nafishatabassum/newnotbook", "kernel_id": "34423875"}, {"ref": "nafishatabassum/thesis", "kernel_id": "34240167"}, {"ref": "nafishatabassum/finalthesis", "kernel_id": "34760846"}, {"ref": "mpstme2022/melanoma-hair-remove", "kernel_id": "34995310"}, {"ref": "kamalinischauhan/fork-of-melanoma-skin-cancer-transfer-learning-xc", "kernel_id": "35097956"}, {"ref": "kamalinischauhan/melanoma-skin-cancer-transfer-resnet-50", "kernel_id": "35181430"}, {"ref": "saimunislam/update-code", "kernel_id": "35910373"}, {"ref": "anujsp/skin-cancer-detection", "kernel_id": "35577759"}, {"ref": "nafishatabassum/update-code", "kernel_id": "35934328"}, {"ref": "ananyagiliyal7/transfer-learning-melanoma-classification", "kernel_id": "35252701"}, {"ref": "nandakorey/skin-cancer-classification-completed-model", "kernel_id": "35268668"}, {"ref": "shreyansanchaliya030/melanoma-skin-cancer", "kernel_id": "35172973"}, {"ref": "rid1dle/skincancerclassification", "kernel_id": "36413103"}, {"ref": "kshyamkumarreddy/feature-extraction-glcm-dr-ckd", "kernel_id": "36194489"}, {"ref": "hemantnyadav/siim-2020-skin-cancer-classification-hny", "kernel_id": "37314757"}, {"ref": "manishatankasala/groupkfoldstratifiedcrossvalidation", "kernel_id": "37615887"}, {"ref": "rajnishe/fork-of-rc-fork-siim-isic-melanoma-384x384", "kernel_id": "38399818"}, {"ref": "maximiliandundukow/datenanalyse-modellentwicklung-siim-isic", "kernel_id": "38834467"}, {"ref": "brodywells/airs-project-6-notebook", "kernel_id": "38039906"}, {"ref": "tillheinrich/melanoma", "kernel_id": "39530364"}, {"ref": "innovationguys/l-westphal-siim-isic-melanoma-classification", "kernel_id": "40653425"}, {"ref": "isaclopessilva/ap-p1-siim-isic-melanoma-classification-resnet", "kernel_id": "40881314"}, {"ref": "saladc/ai2assignment", "kernel_id": "40581062"}, {"ref": "mohamedmhamedi/melanoma-classification-with-imbalanced-dataset", "kernel_id": "40790931"}, {"ref": "saraaldwairy/full-code-cnn", "kernel_id": "40064617"}, {"ref": "prontonmathur/skincancerwebapp", "kernel_id": "40527358"}, {"ref": "kassiorf/krf-csi707-keras-siim-isic", "kernel_id": "40705142"}, {"ref": "derekxue/melanomaclassificationfastai", "kernel_id": "41230357"}, {"ref": "tanayf/triple-stratified-kfold-with-tfrecords-e91f91", "kernel_id": "41891055"}, {"ref": "mrinath/clip-medical", "kernel_id": "42377226"}, {"ref": "zaibunnisaa/ds2-efficientnetb5-with-balanced-dataset-tf", "kernel_id": "42802112"}, {"ref": "zaibunnisaa/vgg16-model", "kernel_id": "42842308"}, {"ref": "zaibunnisaa/data-analyzation", "kernel_id": "42954253"}, {"ref": "zaibunnisaa/cnn-visualizing-activations", "kernel_id": "42953029"}, {"ref": "yashhvyass/image-resize-skin-cancer-detection", "kernel_id": "42431927"}, {"ref": "ahmedelashrybdm/skin-cancer-detector-using-densenet", "kernel_id": "42638236"}, {"ref": "karthikajntua/melanoma", "kernel_id": "42560840"}, {"ref": "stopwhispering/image-augmentation-w-albumentations-melanoma", "kernel_id": "43555684"}, {"ref": "stopwhispering/melanoma-dataset-eda-light", "kernel_id": "43564230"}, {"ref": "mayarmohamedswilam/keras-siim-isic-melanoma-classification-resnet", "kernel_id": "43812255"}, {"ref": "shivanshuverma/melanoma-v1-svm", "kernel_id": "43471767"}, {"ref": "bbeatricee052/nndl-lab1", "kernel_id": "43366990"}, {"ref": "suseendaran69/notebooke8651a1771", "kernel_id": "44679711"}, {"ref": "brunodeabreu/melanoma-v1", "kernel_id": "45353672"}, {"ref": "trnaacthng/melanoma-classification-b6", "kernel_id": "45189676"}, {"ref": "tanayatamhankar/cnn-visualizing-activations", "kernel_id": "45944831"}, {"ref": "sikanderkathat/ai-healthcare-2", "kernel_id": "45702172"}, {"ref": "suseendaran69/notebook6e95428d40", "kernel_id": "45026747"}, {"ref": "nsmsnm/notebookaf17611131", "kernel_id": "45801362"}, {"ref": "bharati2324/triple-stratified-kfold-with-tfrec-nasnet-upd", "kernel_id": "46067062"}, {"ref": "bharati2324/melanoma-detection-using-fastai-on-resnet34-base", "kernel_id": "46065593"}, {"ref": "awxlong/concept-bottleneck-modelling-in-melanoma", "kernel_id": "46315647"}, {"ref": "ahmedelashrybdm/skin-cancer-detector-using-densenet121", "kernel_id": "46788882"}, {"ref": "trungdokien/melanoma-classification-mobilenet", "kernel_id": "46308242"}, {"ref": "siggi51/malignant-melanom-detection", "kernel_id": "47109763"}, {"ref": "sssvvs/melanoma-classification-eda-starter", "kernel_id": "47267261"}, {"ref": "hemalathaaae/hema-skin-melanoma", "kernel_id": "49007422"}, {"ref": "yentrang/project-predicting-skin-cancer-eda", "kernel_id": "49302884"}, {"ref": "revathimuthukrishnan/siim-isic-melanoma-plots", "kernel_id": "49570746"}, {"ref": "robertinopili/pytorch-resnet101", "kernel_id": "49985407"}, {"ref": "hemalathaaae/resnet-18", "kernel_id": "50225838"}, {"ref": "hemalathaaae/efficientnet-skin", "kernel_id": "50200594"}, {"ref": "hemalathaaae/vgg-recent", "kernel_id": "50254543"}, {"ref": "hemalathaaae/resnet-101-sk", "kernel_id": "50267012"}, {"ref": "hemalathaaae/skin-1-project", "kernel_id": "50015683"}, {"ref": "mustakimpallab/unet-segmentation", "kernel_id": "50727796"}, {"ref": "martaabenzacouselo/melanoma-project", "kernel_id": "50947807"}, {"ref": "youssefhatem1/melanoma-hair-remove", "kernel_id": "50011302"}, {"ref": "saraaldwairy/random-forest", "kernel_id": "50950281"}, {"ref": "revathimuthukrishnan/melanoma-image-resizing-notebook", "kernel_id": "50206121"}, {"ref": "revathimuthukrishnan/skin-1-project", "kernel_id": "50201012"}, {"ref": "revathim05/siim-isic-restnet50", "kernel_id": "50226189"}, {"ref": "hemalathaaae/vgg19-skin-melanoma", "kernel_id": "51880642"}, {"ref": "hemalathaaae/resnet50-skin-melanoma", "kernel_id": "51878850"}, {"ref": "hemalathaaae/mobilenet-skin-melanoma", "kernel_id": "51909478"}, {"ref": "hemalathaaae/res50-skin", "kernel_id": "51872646"}, {"ref": "mdiftakeralam/skin-cancer-melanomia-merge", "kernel_id": "51830575"}, {"ref": "vaibhavsahu150/majorproject", "kernel_id": "51177557"}, {"ref": "labibasalsabil/pytorch-resnet101-d1985c", "kernel_id": "51909051"}, {"ref": "mostafamahmoud3110/brain-tumor", "kernel_id": "51134260"}, {"ref": "revathimuthukrishnan/densenet-model-melanoma-classification", "kernel_id": "51842872"}, {"ref": "haseeb43/fyp-cse-b", "kernel_id": "51872298"}, {"ref": "dineshinkaggle/mtd-001", "kernel_id": "51874339"}, {"ref": "revathim05/resnet-model-melanoma-classification", "kernel_id": "51889236"}, {"ref": "danatgutema/team11-ai-healthcare-skin-cancer", "kernel_id": "52774648"}, {"ref": "honestcode/siimisic2020-convnext-k-fold", "kernel_id": "52227144"}, {"ref": "aayshaaasminkhan/melanoma-detection-t13", "kernel_id": "53804360"}, {"ref": "manafabduljabbar/keras-siim-isic-melanoma-classification-resnet", "kernel_id": "53660014"}, {"ref": "manafabduljabbar/meta-classifier-skin-cancer-detection", "kernel_id": "53682981"}, {"ref": "mariettarf/siimisic2020-experiments", "kernel_id": "53313535"}, {"ref": "mujirushi/siimisic2020-experiments", "kernel_id": "53302499"}, {"ref": "mujirushi/siimisic2020-baseline", "kernel_id": "53582636"}, {"ref": "manafabduljabbar/fork-of-meta-classifier-skin-cancer-detectio", "kernel_id": "54207571"}, {"ref": "mingggggggggg/siim-isic-melanoma-classification-haupt", "kernel_id": "54069244"}, {"ref": "berndhe/siim-isic-melanoma-classification-dataset-reduce", "kernel_id": "55785423"}, {"ref": "honestcode/siimisic2020-baseline-convnext", "kernel_id": "55011315"}, {"ref": "berndhe/create-subset-of-simc", "kernel_id": "56386886"}, {"ref": "nishchhalpachouri/melonoma-final", "kernel_id": "56317272"}, {"ref": "bensusenakkta/meta-classifier-skin-cancer-detection", "kernel_id": "56132173"}, {"ref": "amirmohammadparvizi/melanoma-classification-oof-roc-0-976", "kernel_id": "57286336"}, {"ref": "nishchhal01/melonoma-final", "kernel_id": "57243525"}, {"ref": "canonink/melanoma-detection", "kernel_id": "58822562"}, {"ref": "eshetugirma/keras-melanoma-classification-resnet", "kernel_id": "58785924"}, {"ref": "amirrezasalehi2012/melanoma-with-metadata", "kernel_id": "58151107"}, {"ref": "brunopascoa/meta-classifier-skin-cancer-detection", "kernel_id": "59363095"}, {"ref": "hongnguynmnh/baseline-pytorch-efficientnet", "kernel_id": "60476327"}, {"ref": "temple520/clip-medical", "kernel_id": "61489599"}, {"ref": "viktoriaskorik/merge-external-isic-data-eda", "kernel_id": "61164699"}, {"ref": "inescferreira/ndeep-learning-srm-2230381", "kernel_id": "61506741"}, {"ref": "awxlong/pretrain-dataaug-isic-2024", "kernel_id": "62889651"}, {"ref": "myathtramanh/melanoma-classification", "kernel_id": "62201436"}, {"ref": "karankhandekar/ham10000efficientnetb0", "kernel_id": "62645453"}, {"ref": "atsushi015/efficientnet-tpu", "kernel_id": "63566003"}, {"ref": "zaferaydin/isic-2024-generate-dataset-using-2024-data-only", "kernel_id": "64763445"}, {"ref": "zaferaydin/isic-2024-generate-dataset", "kernel_id": "64300807"}, {"ref": "hashithajayarathna/cancer-cassification", "kernel_id": "66801571"}, {"ref": "pasindu210574a/notebook1", "kernel_id": "66764797"}, {"ref": "sanjanakyc210572p/melanoma-classification", "kernel_id": "66800770"}, {"ref": "pramintha210163m/my-notebook2", "kernel_id": "66957721"}, {"ref": "paramjayeshkansagra/melanoma-classification-shap-model-explained", "kernel_id": "68751405"}, {"ref": "erebusue/melanoma-basic-training", "kernel_id": "69787061"}, {"ref": "maneth210429k/group-7", "kernel_id": "69110757"}, {"ref": "nadiatrabelsiii/melanoma-detection-4eme-ai-aimpact", "kernel_id": "70283365"}, {"ref": "nadiatrabelsiii/melanome-data-cleaning-6bce5b", "kernel_id": "70480238"}, {"ref": "dherath10/uom-group8", "kernel_id": "72206569"}, {"ref": "jayasankamadhawa/uom-group-06", "kernel_id": "72389011"}, {"ref": "chanukadinuwan/melanoma-classification", "kernel_id": "72087205"}, {"ref": "chanukadinuwan/melanoma-classifier", "kernel_id": "72178261"}, {"ref": "vinojdilshan/melanoma-uom2024ds-ai-g16", "kernel_id": "72439482"}, {"ref": "abdallhaosman/melanoma-classification-eda-model", "kernel_id": "72186315"}, {"ref": "amilawjsr01/uom-group17", "kernel_id": "72436205"}, {"ref": "phandai/melanoma-naive-approach", "kernel_id": "72927750"}, {"ref": "phandai/forward-selection-oof-ensemble", "kernel_id": "73677422"}, {"ref": "jesuscuadros/diplomado-ia", "kernel_id": "75535256"}, {"ref": "angelogg/isic-2020-melanoma-detection-with-tfrecords", "kernel_id": "75189530"}, {"ref": "angelogg/isic-2020-melanoma-enhanced-dataset", "kernel_id": "75477224"}, {"ref": "nani123456789/feature-importance-in-melanoma-classification", "kernel_id": "75125832"}, {"ref": "dingggggg/siim-isic-melanoma-classification", "kernel_id": "75741708"}, {"ref": "khoatruong2511/siim-isic-preprocessing-jpeg-notebook", "kernel_id": "75254881"}, {"ref": "khoatruong2511/image-preprocessing-see-like-a-dermatologist", "kernel_id": "75274619"}, {"ref": "lsthanh/notebook-bme4", "kernel_id": "75045064"}, {"ref": "abhivij/melanoma-classification", "kernel_id": "76134178"}, {"ref": "paramjayeshkansagra/melanoma-classification-with-attention", "kernel_id": "76701336"}, {"ref": "paramjayeshkansagra/resnet-cancer", "kernel_id": "76698573"}, {"ref": "paramjayeshkansagra/siim-baseline-keras", "kernel_id": "76736284"}, {"ref": "meetsiddhapura/cnn-w-pooling-own-model", "kernel_id": "77712263"}, {"ref": "sudharshan24k/melanoma-classification-model-training", "kernel_id": "78122614"}, {"ref": "aryavedaalviantoro/melanoma-predict-arya-veda", "kernel_id": "78367843"}, {"ref": "meetsiddhapura/transfer-learning-vgg16", "kernel_id": "78177586"}, {"ref": "mohsinali0026/merge-external-data", "kernel_id": "78497925"}, {"ref": "selvasridhar/melanoma-competiton-aug-resnet-effnet-lb-0-91", "kernel_id": "79689594"}, {"ref": "sudharshan24k/melanoma-competiton-aug-resnet-effnet-lb-0-91", "kernel_id": "79376240"}, {"ref": "zelongt/598final", "kernel_id": "79487848"}, {"ref": "chaimaourgani/dermaid-skin-lesion-classification-with-pytorch", "kernel_id": "80282984"}, {"ref": "reynardamadeus/mobilenetv2-fine-tuned-melanoma-classification", "kernel_id": "82344805"}, {"ref": "reynardamadeus/desperate-1", "kernel_id": "82316073"}, {"ref": "ankitkumarrr/kaggle1", "kernel_id": "82241524"}, {"ref": "khoihoanhu34/cancer-skin", "kernel_id": "82180695"}, {"ref": "sujitmishra64/skin-cancer-notebook-v2", "kernel_id": "84565577"}, {"ref": "sujitmishra64/melanoma-detection", "kernel_id": "84570504"}, {"ref": "anushka0912/intern-assignment", "kernel_id": "85428005"}, {"ref": "trnaacthng/xgboost-metadata", "kernel_id": "88586067"}, {"ref": "trnaacthng/fork-of-melanoma-classification-b6", "kernel_id": "88771190"}, {"ref": "soumyaranjansahoo33/melanoma-classification", "kernel_id": "88768557"}, {"ref": "hema050505/22bce3756-fds-melanoma", "kernel_id": "89157748"}, {"ref": "jamesotter/assignment2", "kernel_id": "90769763"}, {"ref": "sumaiyaakhter0103/resnet50", "kernel_id": "90141120"}, {"ref": "dmitryvolovikov/siim-isic-melanoma-classification", "kernel_id": "90541879"}, {"ref": "philopateerawad/notebookf25362f63b", "kernel_id": "90122132"}, {"ref": "weyshenlook/assignment2", "kernel_id": "90565066"}, {"ref": "zjun1031/assignment2", "kernel_id": "91038615"}, {"ref": "kangyi778/assignment2-final", "kernel_id": "91632833"}, {"ref": "vinayakpaka/vinayak-paka-10118-training-pet-finder", "kernel_id": "91639413"}, {"ref": "tanvipoddar/clip-medical", "kernel_id": "91148804"}, {"ref": "itswasp/23bcs10146-suraj-kumar-training-pawpularity", "kernel_id": "91639328"}, {"ref": "nareshkumarth/23bcs1006-naresh-kumar-t-training", "kernel_id": "91639315"}, {"ref": "gowthamsaiyadav/gowtham-23bcs10168-train-ml-project", "kernel_id": "91639412"}, {"ref": "ruthwikchikoti/ruthwik-chikoti-23bcs10111-siim-cancer-train", "kernel_id": "91640795"}, {"ref": "thrishalmadasu/23bcs10115-thrishal-training-malenoma", "kernel_id": "91641122"}, {"ref": "vijaygauravkummetha/vijayguarav-10003-training-petfinder-my", "kernel_id": "91640147"}, {"ref": "soumyaranjansahoo33/melanoma-final", "kernel_id": "91058651"}, {"ref": "tranthang111/inference-melanoma", "kernel_id": "91142365"}, {"ref": "tranthang111/inference-melanoma-efficientnet", "kernel_id": "91159687"}, {"ref": "indrajeetyadav1/10199-indrajeet-yadav-siim-isic-melanoma-training", "kernel_id": "91639339"}, {"ref": "saiyanwarrior/eda-siim-isic-melanoma-classification", "kernel_id": "93688623"}, {"ref": "saiyanwarrior/training-siim-isic-melanoma-classification", "kernel_id": "93807015"}, {"ref": "saiyanwarrior/creating-folds-siim-isic-melanoma-classification", "kernel_id": "93807219"}, {"ref": "saiyanwarrior/inference-siim-isic-melanoma-classification", "kernel_id": "93884388"}, {"ref": "trnaacthng/melanoma-spatial-attention", "kernel_id": "93781157"}, {"ref": "srujanreddydharma/23bcs10107-dharmasrujanreddy-siim-isic-training", "kernel_id": "93992500"}, {"ref": "srujanreddydharma/23bcs10107-dharmasrujanreddy-siim-isic-k-folds", "kernel_id": "93991820"}, {"ref": "chay2203/naga-chaitanya-23bcs10054", "kernel_id": "93991833"}, {"ref": "chay2203/naga-chaitanya-varma-23bcs10054", "kernel_id": "93992503"}, {"ref": "bhargav00714b/10140-bhargav-kfold", "kernel_id": "93991794"}, {"ref": "bhargav00714b/10140-bhargav-training", "kernel_id": "93992512"}, {"ref": "nguyentrongnguyen04/eda-prepor", "kernel_id": "93578023"}, {"ref": "spoorthymadasu/spoorthy-madasu-23bcs10144-training-siim", "kernel_id": "93990884"}, {"ref": "spoorthymadasu/spoorthy-madasu-23bcs10144-k-folds-siim", "kernel_id": "93990105"}, {"ref": "medhashree1707/medha-shree-10049-training-melanoma", "kernel_id": "93993329"}, {"ref": "medhashree1707/medha-shree-10049-same-old-creating-folds", "kernel_id": "93996213"}, {"ref": "noorainsyeda/syeda-noorain-23bcs10221-melanoma-eda", "kernel_id": "93986047"}, {"ref": "noorainsyeda/syeda-noorain-23bcs10221-melanoma-fold-creation", "kernel_id": "93987384"}, {"ref": "uditkumarnayak/23bcs10159-udit-nayak-kfold-melanoma", "kernel_id": "93987472"}, {"ref": "vinaykumarchopra/vinay-kumar-chopra-10174", "kernel_id": "93988357"}, {"ref": "vinaykumarchopra/vinay-10174-inference-melanoma", "kernel_id": "93997367"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-inference-siim", "kernel_id": "93995734"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-training-siim", "kernel_id": "93987971"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-k-folds-siim", "kernel_id": "93987370"}, {"ref": "nareshkumarth/23bcs10006-naresh-kumar-t-k-folds", "kernel_id": "93991800"}, {"ref": "ruthwikchikoti/ruthwik-chikoti-10111-inference", "kernel_id": "93995739"}, {"ref": "ruthwikchikoti/ruthwik-chikoti-10111-k-folds-siim", "kernel_id": "93987345"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-kfolds-melanoma", "kernel_id": "93987448"}, {"ref": "rushhaabhhhh/rushabh-mistry-10197-eda-melanoma", "kernel_id": "93986971"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-inference-melanoma", "kernel_id": "93995726"}, {"ref": "thrishalmadasu/om-sai-thrishal-madasu-23bcs10115-kfold", "kernel_id": "93988025"}, {"ref": "thrishalmadasu/23bcs10115-thrishal-creating-folds-melanoma", "kernel_id": "93992925"}, {"ref": "vijaygauravkummetha/vijaygaurav-10003", "kernel_id": "93991876"}, {"ref": "harsh3446/harsh-kumar-23bcs10021-creating-kfold", "kernel_id": "93987342"}, {"ref": "hphmhng/eda-prepor-dap", "kernel_id": "93613122"}, {"ref": "hphmhng/phase-3", "kernel_id": "93612441"}, {"ref": "indrajeetyadav1/2023bcs10199-indrajeet-yadav", "kernel_id": "93987480"}, {"ref": "indrajeetyadav1/23bcs10199-indrajeet-yadav-inference", "kernel_id": "93995915"}, {"ref": "vinayreddyyedula/vinay-training-petfinder-my-pawpularity-contest", "kernel_id": "93992519"}, {"ref": "vinayreddyyedula/vinay-reddy-10083", "kernel_id": "93991799"}, {"ref": "arthurw1935/10038-sourashis-melanoma-inference", "kernel_id": "94731071"}, {"ref": "arthurw1935/10038-sourashis-melanoma-kfold", "kernel_id": "94729934"}, {"ref": "arthurw1935/10038-sourashis-melanoma-eda", "kernel_id": "94730314"}, {"ref": "arthurw1935/10038-sourashis-melanoma-training", "kernel_id": "94730645"}, {"ref": "kushagrakushagras/kushagra-23bcs10165-kfold-melenoma", "kernel_id": "94737975"}, {"ref": "kushagrakushagras/23bcs10165-kushagra-train", "kernel_id": "94737787"}, {"ref": "kushagrakushagras/23bcs10165-kushagra-inference-melenoma", "kernel_id": "94741303"}, {"ref": "vinayakpaka/inference-petfinder-my-pawpularity-conte-d8db13", "kernel_id": "94717733"}, {"ref": "vinayakpaka/vinayak-paka-10118-k-folds-1", "kernel_id": "94399316"}, {"ref": "paawanjotkaur/10186-paawanjotkaur-creating-folds-siim-isic", "kernel_id": "94738554"}, {"ref": "paawanjotkaur/10186-paawanjotkaur-training-siim-isic", "kernel_id": "94738636"}, {"ref": "paawanjotkaur/10186-paawanjotkaur-inference-siim-isic", "kernel_id": "94738979"}, {"ref": "hemkeshkantawala/10040-hemkeshkantawala-melanoma-inference", "kernel_id": "94594891"}, {"ref": "hemkeshkantawala/10040-hemkeshkantawala-melanoma", "kernel_id": "94581334"}, {"ref": "hemkeshkantawala/10040-hemkeshkantawala-melanoma-training", "kernel_id": "94590292"}, {"ref": "hemkeshkantawala/10040-hemkesh-melanoma-kfold", "kernel_id": "94588950"}, {"ref": "ishanavasthi/23bcs10042-ishan-avasthi-melanoma-kfold", "kernel_id": "94718611"}, {"ref": "abhinavguptade/10090-abhinav-gupta", "kernel_id": "94730825"}, {"ref": "abhinavguptade/10090-abhinav-gupta-inference", "kernel_id": "94731580"}, {"ref": "abhinavguptade/10090-abhinav-gupta-training", "kernel_id": "94390588"}, {"ref": "demonsheriff/10217-anantshukla-kfold", "kernel_id": "94716493"}, {"ref": "demonsheriff/10217-anantshukla-training-melanoma", "kernel_id": "94716502"}, {"ref": "demonsheriff/10217-anantshukla-inference-melanoma", "kernel_id": "94716720"}, {"ref": "ommishra16/10191-ommishra-folds", "kernel_id": "94731290"}, {"ref": "sidj09/10103-siddhamjain-training-melanoma", "kernel_id": "94738734"}, {"ref": "sidj09/10103-siddhamjain-inference-melanoma", "kernel_id": "94738465"}, {"ref": "ayaankhan2812/10029-ayaan-khan-kfolds-melanoma", "kernel_id": "94743900"}, {"ref": "ayaankhan2812/10029-ayaan-khan-training-melanoma", "kernel_id": "94743946"}, {"ref": "ayaankhan2812/10029-ayaan-khan-inference-melanoma", "kernel_id": "94744081"}, {"ref": "dakshkanaujia/10089-dakshkanaujia-kfold", "kernel_id": "94708868"}, {"ref": "dakshkanaujia/10089-dakshkanaujia-training", "kernel_id": "94709545"}, {"ref": "dakshkanaujia/10089-dakshkanaujia-inference", "kernel_id": "94730006"}, {"ref": "suryanshshakya/10041-suryanshshakya-inference", "kernel_id": "94715331"}, {"ref": "suryanshshakya/10041-suryansh-training", "kernel_id": "94594758"}, {"ref": "suryanshshakya/10041-suryansh-kfold", "kernel_id": "94616719"}, {"ref": "srujanreddydharma/23bcs10107-dharmasrujanreddy-siim-isic-inference", "kernel_id": "94522523"}, {"ref": "chay2203/chaitanya-cancer-23bcs10054", "kernel_id": "94709622"}, {"ref": "bhargav00714b/10140-bhargav-inference", "kernel_id": "94718306"}, {"ref": "abhishek13may/siim-melanoma-inference-10065-abhishekkumarshah", "kernel_id": "94730932"}, {"ref": "abhishek13may/siim-melanoma-training-10065-abhishekkumarshah", "kernel_id": "94709531"}, {"ref": "abhishek13may/siim-melanoma-kfolds-10065-abhishekkumarshah", "kernel_id": "94708852"}, {"ref": "samwiz/23bcs10123-samrudh-training", "kernel_id": "94729949"}, {"ref": "samwiz/23bcs10123-samrudh-inference", "kernel_id": "94730000"}, {"ref": "samwiz/23bcs10123-samrudh-creating-folds", "kernel_id": "94729917"}, {"ref": "kauxp26/23bcs10189-paramjeet-kaur-inference", "kernel_id": "94742053"}, {"ref": "kauxp26/23bcs10189-paramjeet-kaur-kfold", "kernel_id": "94740446"}, {"ref": "kauxp26/23bcs10189-paramjeet-kaur-training", "kernel_id": "94740928"}, {"ref": "rohiththirunagari/10039-rohith-kfold", "kernel_id": "94732200"}, {"ref": "nguyentrongnguyen04/melanoma-mobilenetv2", "kernel_id": "94790355"}, {"ref": "riyabhurse/23-bcs10187-riyabhurse-training-siim-isic", "kernel_id": "94672147"}, {"ref": "riyabhurse/23-bcs10187-riyabhurse-creating-folds-siim-isic", "kernel_id": "94671912"}, {"ref": "riyabhurse/23bcs10187-riyabhurse-inference-siim-isic", "kernel_id": "94700679"}, {"ref": "amanyadav207/10055-amanyadav-inference", "kernel_id": "94733974"}, {"ref": "amanyadav207/10055-amanyadav-training", "kernel_id": "94733634"}, {"ref": "amanyadav207/10055-amanyadav-kfold", "kernel_id": "94735150"}, {"ref": "siddharthbaleja/10161-siddharth-baleja-training-melanoma", "kernel_id": "94500468"}, {"ref": "siddharthbaleja/10161-siddharth-baleja-k-folds-melanoma", "kernel_id": "94497727"}, {"ref": "siddharthbaleja/10161-siddharth-baleja-inference-melanoma", "kernel_id": "94725701"}, {"ref": "mayankvashishtt/10177-mayank-vashisht-kfolds-siim", "kernel_id": "94740727"}, {"ref": "mayankvashishtt/10177-mayank-vashisht-training-siim-isic", "kernel_id": "94719337"}, {"ref": "mayankvashishtt/10177-mayank-siim-isic-k-folds", "kernel_id": "94738724"}, {"ref": "mayankvashishtt/10177-mayank-vashisht-inference-siim-isic", "kernel_id": "94736102"}, {"ref": "swarnim114/2023bcs10139-swarnim-melonama-inference", "kernel_id": "94720856"}, {"ref": "swarnim114/2023bcs10139-swarnim-kfold-melonama", "kernel_id": "94634597"}, {"ref": "swarnim114/2023bcs10139-swarnim-traing-siim", "kernel_id": "94635064"}, {"ref": "barrybyte/23bcs10181-abhayraj-training-melanoma", "kernel_id": "94715412"}, {"ref": "barrybyte/23bcs10181-abhayraj-kfold-melanoma", "kernel_id": "94714877"}, {"ref": "barrybyte/23bcs10181-abhayraj-inference-melanoma", "kernel_id": "94733369"}, {"ref": "aryanbeethoven/creating-folds-siim-isic-melanoma-classification", "kernel_id": "94737696"}, {"ref": "thetallinnov8r/10121-yash-agarwal-inference-siim", "kernel_id": "94729519"}, {"ref": "thetallinnov8r/10121-yash-agarwal-training-siim", "kernel_id": "94721802"}, {"ref": "thetallinnov8r/10121-yash-agarwal-kfold-siim", "kernel_id": "94716033"}, {"ref": "ddevmhrn/10209-debashis-creating-folds-siim-isic-melanoma", "kernel_id": "94738153"}, {"ref": "ddevmhrn/debashis-10209-training-siim-isic-melanoma", "kernel_id": "94738767"}, {"ref": "ddevmhrn/10209-debashis-inference-siim-isic-melanoma", "kernel_id": "94739220"}, {"ref": "itswasp/23bcs10146-suraj-kumar-creating-folds", "kernel_id": "94154820"}, {"ref": "itswasp/23bcs10146-suraj-kumar-training", "kernel_id": "94160022"}, {"ref": "itswasp/23bcs10146-suraj-kumar-inference", "kernel_id": "94379832"}, {"ref": "dar4devil/10170-aaryapatil-melanoma-inference", "kernel_id": "94726221"}, {"ref": "dar4devil/10170-aaryapatil-melanoma-kfold", "kernel_id": "94726149"}, {"ref": "dar4devil/10170-aaryapatil-melanoma-training", "kernel_id": "94730108"}, {"ref": "fenixailes/10035-kushi-melanoma-training", "kernel_id": "94733676"}, {"ref": "fenixailes/10035-kushi-melanoma-inf", "kernel_id": "94736679"}, {"ref": "harshpancha1/10087-harsh-panchal-training-siim-isic", "kernel_id": "94735588"}, {"ref": "harshpancha1/10087-harsh-panchal-inference-siim-isic", "kernel_id": "94735602"}, {"ref": "harshpancha1/10087-harsh-panchal-k-folds-siim-isic", "kernel_id": "94735430"}, {"ref": "prathmeshbhardwaj/10025-prathmesh-k-fold-melanoma", "kernel_id": "94709827"}, {"ref": "prathmeshbhardwaj/10025-prathmesh-training", "kernel_id": "94710024"}, {"ref": "prathmeshbhardwaj/10025-prathmesh-bhardwaj-inference-melanoma", "kernel_id": "94720769"}, {"ref": "vatsal3064/10101-vatsal-omar-kfold-sim", "kernel_id": "94736593"}, {"ref": "poojatalele/pooja-10151-inference-siim-isic-melanoma", "kernel_id": "94691708"}, {"ref": "poojatalele/pooja-10151-creating-folds-siim-isic-melanoma", "kernel_id": "94358317"}, {"ref": "poojatalele/pooja-10151-training-siim-isic-melanoma", "kernel_id": "94357741"}, {"ref": "godharsh/10066-harsh-kumar-melanoma-kfold", "kernel_id": "94717906"}, {"ref": "godharsh/10066-harsh-kumar-melonoma-training", "kernel_id": "94718251"}, {"ref": "godharsh/10066-harsh-kumar-melonoma-inference", "kernel_id": "94718834"}, {"ref": "spoorthymadasu/10144-spoorthy-madasu-inference-siim-isic", "kernel_id": "94522297"}, {"ref": "medhashree1707/medha-shree-10049-inference-melanoma", "kernel_id": "94014312"}, {"ref": "princekumar7999/melanoma-pytorch-starter-efficientnet", "kernel_id": "94734046"}, {"ref": "princekumar7999/10071-prince-kumar-training", "kernel_id": "94739015"}, {"ref": "princekumar7999/10071-prince-kumar-kfold", "kernel_id": "94741267"}, {"ref": "princekumar7999/10071-prince-kumar-inference", "kernel_id": "94741401"}, {"ref": "noorainsyeda/syeda-noorain-23bcs10221-melanoma-training", "kernel_id": "94131059"}, {"ref": "noorainsyeda/syeda-noorain-23bcs10221-melanoma-inference", "kernel_id": "94150093"}, {"ref": "mlayank/10069-mayank-gupta-kfold-siim", "kernel_id": "94698174"}, {"ref": "mlayank/10069-mayank-gupta-training-siim", "kernel_id": "94698441"}, {"ref": "mlayank/10069-mayank-gupta-inference-siim", "kernel_id": "94708516"}, {"ref": "ashwinsaklecha/10212-ashwin-saklecha-inference-siim-isic", "kernel_id": "94692694"}, {"ref": "ashwinsaklecha/10212-ashwin-saklecha-training-siim-isic", "kernel_id": "94591247"}, {"ref": "ashwinsaklecha/10212-ashwin-saklecha-k-folds-siim-isic", "kernel_id": "94590852"}, {"ref": "purvanshsahu/purvansh-sahu-10169-siim-melanoma-training1", "kernel_id": "94734084"}, {"ref": "purvanshsahu/purvansh-sahu-10169-siim-k-fold-notebook1", "kernel_id": "94733963"}, {"ref": "purvanshsahu/purvansh-sahu-10169-siim-melanoma-inference", "kernel_id": "94734730"}, {"ref": "yashrajml/10102-yashraj-kupekar-training-siim-isic", "kernel_id": "94733178"}, {"ref": "yashrajml/10102-yashraj-kupekar-inference-siim-isic", "kernel_id": "94737369"}, {"ref": "yashrajml/10102-yashraj-kupekar-creating-folds-siim-isic", "kernel_id": "94733042"}, {"ref": "shivamgoelml/shivamgoel-10131-fork-of-same-old-creating-folds", "kernel_id": "94045186"}, {"ref": "nph0231/skin-efficientnet-training", "kernel_id": "94456076"}, {"ref": "uditkumarnayak/23bcs10159-udit-nayak-inference-melanoma", "kernel_id": "94490020"}, {"ref": "uditkumarnayak/23bcs10159-udit-nayak-training-melanoma", "kernel_id": "94488919"}, {"ref": "venkateshalampally/10095-venkateshalampally-siim-isic-inference", "kernel_id": "94730898"}, {"ref": "venkateshalampally/10095-venkateshalampally-siim-isic-k-folds", "kernel_id": "94715561"}, {"ref": "venkateshalampally/10095-venkateshalampally-siim-isic-training", "kernel_id": "94716040"}, {"ref": "purabray/notebook657468d81a", "kernel_id": "94719051"}, {"ref": "purabray/creating-folds-10196-purab-ray", "kernel_id": "94720679"}, {"ref": "purabray/training-10196-purab-ray", "kernel_id": "94721799"}, {"ref": "purabray/10196-purab-ray-inference", "kernel_id": "94730622"}, {"ref": "purabray/10196-purab-ray-training", "kernel_id": "94725353"}, {"ref": "ishita1406/10188-ishita-k-fold-melanoma", "kernel_id": "94523182"}, {"ref": "ayaanali6786/10094-syedayaanali-training-siim-isic", "kernel_id": "94735117"}, {"ref": "ayaanali6786/10094-syedayaanali-creating-folds-siim-isic", "kernel_id": "94734843"}, {"ref": "ayaanali6786/10094-syedayaanali-inference-siim-isic", "kernel_id": "94741056"}, {"ref": "itsharshitgoel/inference-siim-isic-melanoma-classification", "kernel_id": "94719789"}, {"ref": "itsharshitgoel/harshit-goel-10149-training-siim-isic", "kernel_id": "94716140"}, {"ref": "itsharshitgoel/harshit-goel-10149-creating-folds-siim-isic", "kernel_id": "94716200"}, {"ref": "itsharshitgoel/harshit-goel-10149pawpularity", "kernel_id": "94474733"}, {"ref": "sarthakpandeyhere/10179-sarthakpandey-k-fold-siim", "kernel_id": "94720158"}, {"ref": "sarthakpandeyhere/10179-sarthakpandey-training-siim", "kernel_id": "94720256"}, {"ref": "sarthakpandeyhere/10179-sarthak-pandey-inference-siim", "kernel_id": "94722634"}, {"ref": "vinaykumarchopra/vinay-10174-training-siim-isic", "kernel_id": "94714617"}, {"ref": "vinaykumarchopra/vinay-10174-kfolds-melanoma", "kernel_id": "94733252"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-foldssiim", "kernel_id": "94633735"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-trainingsiim", "kernel_id": "94634883"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-inferencesiim", "kernel_id": "94638405"}, {"ref": "deysandip301/10114-sandipdey-inference", "kernel_id": "94416703"}, {"ref": "deysandip301/10114-sandipdey-training", "kernel_id": "94413297"}, {"ref": "deysandip301/sandip-dey-23bcs10114-melanoma-eda", "kernel_id": "94410372"}, {"ref": "deysandip301/10114-sandipdey-kfold", "kernel_id": "94411161"}, {"ref": "shivamt14/23bcs10104-shivam-tiwari-inferences", "kernel_id": "94735305"}, {"ref": "shivamt14/23bcs-shivam-tiwari-trainings", "kernel_id": "94726220"}, {"ref": "shivamt14/23bcs10104-shivam-tiwari-kfolds", "kernel_id": "94726041"}, {"ref": "omwaghchavare/10142-om-isic-melanoma-classification", "kernel_id": "94726063"}, {"ref": "omwaghchavare/10142-om-waghchavare-isic-melanoma-classification", "kernel_id": "94731438"}, {"ref": "omwaghchavare/omwaghchavare-10142-isic-melanoma-classification", "kernel_id": "94464750"}, {"ref": "nareshkumarth/23bcs10006-naresh-kumar-t-inference", "kernel_id": "94002762"}, {"ref": "kohantikanath/10097-kohantikanath-melanoma-inference", "kernel_id": "94682078"}, {"ref": "kohantikanath/10097-kohantikanath-melanoma-training", "kernel_id": "94674199"}, {"ref": "kohantikanath/10097-kohantikanath-melanoma-kfold", "kernel_id": "94670313"}, {"ref": "harshsinghania04/harsh-vardhan-singhania-10171-siim-training", "kernel_id": "94718590"}, {"ref": "harshsinghania04/inference-siim-isic-melanoma-classification", "kernel_id": "94735586"}, {"ref": "harshsinghania04/harsh-vardhan-singhania-10171-kfold-siim", "kernel_id": "94740598"}, {"ref": "gowthamsaiyadav/gowtham-23bcs10168-ml-project", "kernel_id": "94470108"}, {"ref": "gowthamsaiyadav/gowtham-23bcs10168-inference-custom", "kernel_id": "94720662"}, {"ref": "svgharsh983/10098-harsh-kumar-kfold-melanoma", "kernel_id": "94735749"}, {"ref": "svgharsh983/10098-harsh-kumar-training-melanoma", "kernel_id": "94737739"}, {"ref": "devharshkumar77/10116-harshkumar-k-folds", "kernel_id": "94737392"}, {"ref": "devharshkumar77/10116-harshkumar-inference", "kernel_id": "94740157"}, {"ref": "sachannharshit/10134-harshit-sachan-inference-siim", "kernel_id": "94728098"}, {"ref": "sachannharshit/10134-harshit-sachan-kfold-siim", "kernel_id": "94721656"}, {"ref": "sachannharshit/10134-harshit-sachan-trainingsiim", "kernel_id": "94722764"}, {"ref": "satyamydv9/10198-satyamyadav-melanoma-inference", "kernel_id": "94715599"}, {"ref": "satyamydv9/10198satyam-yadav-training-melanoma", "kernel_id": "94715621"}, {"ref": "satyamydv9/10198-satyam-yadav-kfolds", "kernel_id": "94729081"}, {"ref": "thehero29/23bcs10050-loukik-thatte-melanoma-training", "kernel_id": "94730946"}, {"ref": "thehero29/23bcs10059-loukik-thatte-inference-melanoma", "kernel_id": "94737710"}, {"ref": "adarshsinghtomar2004/10031-adarsh-inference-siim-isic", "kernel_id": "94740784"}, {"ref": "adarshsinghtomar2004/10031-adarsh-training-siim-isic", "kernel_id": "94735405"}, {"ref": "adarshsinghtomar2004/10031-adarsh-creating-folds-siim-isic", "kernel_id": "94735289"}, {"ref": "diptihatwar/diptihatwar-10033-inference", "kernel_id": "94679237"}, {"ref": "diptihatwar/diptihatwar-10033-kfold", "kernel_id": "94641105"}, {"ref": "diptihatwar/diptihatwar-10033-training", "kernel_id": "94641494"}, {"ref": "aatmikpanse/10082-aatmik-training", "kernel_id": "94730798"}, {"ref": "aatmikpanse/10082-aatmik-kfold", "kernel_id": "94730471"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-training-melanoma", "kernel_id": "94725462"}, {"ref": "neeldholiya/10022-neeldholiya-training", "kernel_id": "94695238"}, {"ref": "neeldholiya/neeldholiya-10022-kfold", "kernel_id": "94695588"}, {"ref": "neeldholiya/10022-neeldholiya-inference", "kernel_id": "94703631"}, {"ref": "kartikdeshpande2810/kartik-10141-folds-melanoma-classifier", "kernel_id": "94727455"}, {"ref": "kartikdeshpande2810/kartik-10141-training-melanoma-class", "kernel_id": "94731336"}, {"ref": "kartikdeshpande2810/kartik-10141-inferance-melanoma", "kernel_id": "94736599"}, {"ref": "kartikdeshpande2810/kartik-10141-creating-folds-pawpularity", "kernel_id": "94508614"}, {"ref": "suryanshai/10089-suryanshdubey-inference", "kernel_id": "94739215"}, {"ref": "suryanshai/10089-suryanshdubey-training", "kernel_id": "94739641"}, {"ref": "suryanshai/10089-suryanshdubey-kfold", "kernel_id": "94739646"}, {"ref": "divpandey/10085-divyanshupandey-inference-siim-isic-melanoma", "kernel_id": "94740351"}, {"ref": "divpandey/10085-divyanshupandey-training-siim-isic-melanoma", "kernel_id": "94736490"}, {"ref": "divpandey/10085-divyanshupandey-kfold-siim-isic-melanoma", "kernel_id": "94736269"}, {"ref": "utkershbasnet/10105-utkershbasnet-inference-melanoma", "kernel_id": "94722201"}, {"ref": "utkershbasnet/10105-utkershbasnet-training-melanoma", "kernel_id": "94709573"}, {"ref": "utkershbasnet/10105-utkershbasnet-kfold-melanoma", "kernel_id": "94709027"}, {"ref": "utkershbasnet/10105-utkersh-basnet-kfold", "kernel_id": "94508985"}, {"ref": "zkk555/23bcs10020-sushant-singh-chauhan-training", "kernel_id": "94716724"}, {"ref": "zkk555/23bcs10020-sushant-singh-chauhan-inference", "kernel_id": "94724911"}, {"ref": "zkk555/23bcs10020-sushant-singh-chauhan-kfold", "kernel_id": "94725223"}, {"ref": "amruthacakaggle/inference-10158-amrutha", "kernel_id": "94716694"}, {"ref": "amruthacakaggle/10158-amrutha-creating-folds", "kernel_id": "94716153"}, {"ref": "amruthacakaggle/training-10158-amrutha", "kernel_id": "94716434"}, {"ref": "mahakjuriani/10008-mahak-juriani-melanoma-training", "kernel_id": "94721829"}, {"ref": "mahakjuriani/10008-mahak-juriani-melanoma-kfolds", "kernel_id": "94721205"}, {"ref": "mahakjuriani/10008-mahak-juriani-melanoma-infernece", "kernel_id": "94749018"}, {"ref": "thrishalmadasu/thrishal-23bcs10115-eda-siim-isic-melanoma", "kernel_id": "94011481"}, {"ref": "thrishalmadasu/23bcs10115-thrishal-inference-malenoma", "kernel_id": "94010439"}, {"ref": "surajguduru/suraj-guduru-10012-inference-melanoma-classifi", "kernel_id": "94012323"}, {"ref": "adi0311/aditya-23bcs10007-melanoma-classification-kfolds", "kernel_id": "94523995"}, {"ref": "adi0311/aditya-23bcs10007-melanoma-classification-training", "kernel_id": "94525482"}, {"ref": "adi0311/aditya-23bcs10007-melanomaclassification-inference", "kernel_id": "94529635"}, {"ref": "jenabishal/10096-bishaljena-inf-melanoma", "kernel_id": "94740368"}, {"ref": "jenabishal/10096-bishaljena-kfolds-melanoma", "kernel_id": "94739664"}, {"ref": "jenabishal/10096-bishaljena-training-melanoma", "kernel_id": "94739771"}, {"ref": "jashsavaliya/10163-jash-savaliya-k-fold", "kernel_id": "94513043"}, {"ref": "jashsavaliya/10163-jash-savaliya-k-fold-melanoma", "kernel_id": "94733442"}, {"ref": "jashsavaliya/10163-jash-savaliya-inference-melanoma", "kernel_id": "94727054"}, {"ref": "jashsavaliya/10163-jash-savaliya-training-melanoma", "kernel_id": "94715949"}, {"ref": "bhav55/10088-bhavya-jain-kfolds-melanoma", "kernel_id": "94730531"}, {"ref": "bhav55/10088-bhavya-jain-training-melanoma", "kernel_id": "94730609"}, {"ref": "bhav55/10088-bhavya-jain-inference-melanoma", "kernel_id": "94730862"}, {"ref": "naitikjain921/10214-naitik-jain-inference-melanoma", "kernel_id": "94366455"}, {"ref": "naitikjain921/10214-naitik-jain-training-melanoma", "kernel_id": "94362919"}, {"ref": "naitikjain921/10214-naitik-jain-creating-folds-melanoma", "kernel_id": "94362838"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-inference-melanoma", "kernel_id": "94343394"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-kfolds-melanoma", "kernel_id": "94342926"}, {"ref": "aannaannyaaa/ananya-srivastava-10195-eda-melanoma", "kernel_id": "94342534"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-training-melanoma", "kernel_id": "94343054"}, {"ref": "adityasinghrajput45/10148-aditya-inference-melanoma", "kernel_id": "94716349"}, {"ref": "adityasinghrajput45/10148-aditya-kfold-melanoma-my", "kernel_id": "94713012"}, {"ref": "adityasinghrajput45/10148-aditya-melanoma-training", "kernel_id": "94713255"}, {"ref": "shreshthaaa/10093-shreshthasharma-melanoma-inference", "kernel_id": "94731074"}, {"ref": "shreshthaaa/10093-shreshthasharma-melanoma-kfold", "kernel_id": "94679421"}, {"ref": "shreshthaaa/10093-shreshthasharma-melanoma-training", "kernel_id": "94680683"}, {"ref": "atharvsanjayjain/10113-atharvsanjayjain-kfolds-melanoma", "kernel_id": "94736854"}, {"ref": "atharvsanjayjain/10113-atharvsanjayjain-training-melanoma", "kernel_id": "94737448"}, {"ref": "jiyasinghal20/10043-jiya-singhal-training", "kernel_id": "94733285"}, {"ref": "jiyasinghal20/10043-jiya-singhal-inference", "kernel_id": "94734211"}, {"ref": "jiyasinghal20/10043-jiya-singhal-kfold", "kernel_id": "94732766"}, {"ref": "johnstalin26/10045-abhinav-jha-training-siim-isic", "kernel_id": "94736370"}, {"ref": "johnstalin26/10045-abhinav-jha-creating-folds-siim-isic", "kernel_id": "94736209"}, {"ref": "johnstalin26/10045-abhinav-jha-inference-siim-isic", "kernel_id": "94738389"}, {"ref": "fakeacc01/23bcs10062-kfolds-2", "kernel_id": "94738232"}, {"ref": "fakeacc01/23bcs10062-kfolds2", "kernel_id": "94735167"}, {"ref": "fakeacc01/23bcs10062-infern2", "kernel_id": "94732893"}, {"ref": "fakeacc01/23bcs10062-train", "kernel_id": "94728547"}, {"ref": "pranav1100/pranav10145-kfolds-melanoma-classification", "kernel_id": "94716192"}, {"ref": "pranav1100/pranav10145-training-melanoma-classification", "kernel_id": "94715552"}, {"ref": "pranav1100/inference-pranav10145-melanoma-classification", "kernel_id": "94721667"}, {"ref": "kalamapj/vshravanth10030-inference-petfinder", "kernel_id": "94720705"}, {"ref": "kalamapj/shravanth-siim-isic-melanoma-classification", "kernel_id": "94399823"}, {"ref": "kalamapj/v-shravanth10030", "kernel_id": "94409744"}, {"ref": "dpk9465/deepak10092cancer-inference-subs", "kernel_id": "94733137"}, {"ref": "dpk9465/deepak-cancer-training", "kernel_id": "94400376"}, {"ref": "dpk9465/deepak-10092-pawpularity", "kernel_id": "94399641"}, {"ref": "vijaygauravkummetha/vijaygaurav-10003-inference-customcontest", "kernel_id": "94514285"}, {"ref": "vijaygauravkummetha/vijay-10003-kfold-dog", "kernel_id": "94489211"}, {"ref": "harsh3446/10021-harsh-kumar-training-melanoma", "kernel_id": "94723711"}, {"ref": "harsh3446/10021-harsh-kumar-kfold-melanoma", "kernel_id": "94723739"}, {"ref": "harsh3446/10021-harsh-kumar-inference-melanoma", "kernel_id": "94723753"}, {"ref": "shreyasgrg/10155-shreyasgarg-inference", "kernel_id": "94729926"}, {"ref": "shreyasgrg/23bcs10155-shreyasgarg-kfold", "kernel_id": "94403130"}, {"ref": "shreyasgrg/23bcs10155-shreyasgarg-training", "kernel_id": "94403592"}, {"ref": "prajwalp111/melanoma-siim-isic-2020-fast-ai-efficientne-4167bb", "kernel_id": "94021448"}, {"ref": "dakshjainn/daksh-jain-23bcs10125-melanoma-inference", "kernel_id": "94739525"}, {"ref": "kooldrip/10016-jenish-thapa-creating-folds-siim-isic", "kernel_id": "94734151"}, {"ref": "kooldrip/10016-jenish-thapa-training-siim-isic", "kernel_id": "94734250"}, {"ref": "kooldrip/10016-jenish-thapa-inference-siim-isic", "kernel_id": "94734273"}, {"ref": "nicknv/training-10136-siim-isic-melanoma-classification", "kernel_id": "94732164"}, {"ref": "nicknv/navneet-10136-kfold-siim-isic-melanoma", "kernel_id": "94731583"}, {"ref": "nicknv/inference-10136-isic-melanoma-classification", "kernel_id": "94736873"}, {"ref": "vinayreddyyedula/vinay-10083-cancer-inferenence", "kernel_id": "94733578"}, {"ref": "ayushkesharwani2605/ayush-23bcs10112-training", "kernel_id": "94731512"}, {"ref": "ayushkesharwani2605/ayush-23bcs10112-inference", "kernel_id": "94731556"}, {"ref": "ayushkesharwani2605/ayush-23bcs10112-creating-folds", "kernel_id": "94731349"}, {"ref": "arjunojha7/10068-arjunojha-melanoma-kfold", "kernel_id": "94739610"}, {"ref": "arjunojha7/10068-arjunojha-melanoma-training", "kernel_id": "94739751"}, {"ref": "arjunojha7/10068-arjunojha-melanoma-inference", "kernel_id": "94740082"}, {"ref": "rajattyagi18/23bcs10053-rajat-tyagi-inferencem", "kernel_id": "94739914"}, {"ref": "rajattyagi18/23bcs10053-rajat-tygai-training", "kernel_id": "94739731"}, {"ref": "rajattyagi18/23bcs10053-rajat-tyagi-kfoldm", "kernel_id": "94739264"}, {"ref": "benodiwal/sachin-23bcs10070-mckfolds-2", "kernel_id": "94732462"}, {"ref": "benodiwal/sachin-23bcs10070-mci-2", "kernel_id": "94732278"}, {"ref": "benodiwal/sachin-23bcs10070-mci", "kernel_id": "94726660"}, {"ref": "shrimay18/shrimay-somani-23bcs10117-kfold", "kernel_id": "94702743"}, {"ref": "shrimay18/shrimay-somani-23bcs10117-training", "kernel_id": "94703671"}, {"ref": "shrimay18/shrimay-somani-23bcs10117-inference", "kernel_id": "94714057"}, {"ref": "ishanavasthi/23bcs10042-ishan-avasthi-melanoma-training", "kernel_id": "95157573"}, {"ref": "nph0231/scin-dataset-download", "kernel_id": "95120245"}, {"ref": "amriteshindal29/creating-folds-siim-isic-10150-amritesh", "kernel_id": "95188584"}, {"ref": "amriteshindal29/training-siim-10150-amritesh", "kernel_id": "95188682"}, {"ref": "amriteshindal29/inference-siim-10150-amritesh", "kernel_id": "95189507"}, {"ref": "hphmhng/melanoma-mobilenetv2", "kernel_id": "95142990"}, {"ref": "nph0231/crawling-for-skin-conditions", "kernel_id": "96360370"}, {"ref": "nph0231/skin-efficientnet-training-new-labels", "kernel_id": "96786764"}, {"ref": "lduythi/phase-cu-i", "kernel_id": "96094241"}, {"ref": "moon1570/update-code", "kernel_id": "97108556"}, {"ref": "nph0231/group-skin-efficientnet-training-new-labels", "kernel_id": "97217169"}, {"ref": "azizmessaoud2002/siim-isic-melanoma-classification-for-sic", "kernel_id": "98024891"}, {"ref": "amalamouri/siim-isic-melanoma-classification-for-sic", "kernel_id": "98489417"}, {"ref": "nadiatrabelsiii/melanome-data-cleaning-067eca", "kernel_id": "100826814"}, {"ref": "fedikhala/melanoma-classification", "kernel_id": "100048307"}, {"ref": "tesnimegraba/melanome-data-cleaning-067eca", "kernel_id": "100830163"}, {"ref": "sumaiaakter213353187/siim-isic-melanoma-classification", "kernel_id": "102481348"}, {"ref": "tanvipoddar/cv-project", "kernel_id": "102083855"}, {"ref": "wenqidu/ham10000-training", "kernel_id": "104650963"}, {"ref": "sumaiyaakhter0103/mobilenetv3-2", "kernel_id": "106132329"}, {"ref": "trnhvu/melanoma-train", "kernel_id": "106883338"}, {"ref": "trnhvu/melanoma2020-image-tabular", "kernel_id": "106880265"}, {"ref": "rahmaeda/notebookbe1b045b7e", "kernel_id": "107979265"}, {"ref": "keyur0326/melanoma-detail-analysis-eda-ip-augmentation-model", "kernel_id": "109657963"}, {"ref": "trngvitanh/code-paper", "kernel_id": "110994511"}, {"ref": "ravinder1708/analysis-of-melanoma-metadata-and-effnet-ensemble", "kernel_id": "110079305"}, {"ref": "parkjuheon/melanoma-classification-20260313", "kernel_id": "112098733"}, {"ref": "parkjuheon/melanoma-seg-classification-fix-20260314", "kernel_id": "112181021"}, {"ref": "ashiasultana/siim-isic-melanoma-classification-modality-dominan", "kernel_id": "117056654"}, {"ref": "ashiasultana/siim-isic-melanoma-classification-modality-film", "kernel_id": "118634949"}, {"ref": "ashiasultana/siim-isic-melanoma-classificationmodalityasym-old", "kernel_id": "120699239"}, {"ref": "farhanaz08/siim-isic-melanoma-classification-modality-film", "kernel_id": "120060024"}, {"ref": "jemimambabacha/capstone", "kernel_id": "121159678"}, {"ref": "accfbfaifai/isic-dataset-gen", "kernel_id": "123070726"}, {"ref": "sabarnamukherjee/melanoma-classification", "kernel_id": "123639385"}, {"ref": "seekersgame/isic-md-heirarchicalfilm-create-folds", "kernel_id": "123887609"}, {"ref": "seekersgame/isic-md-heirarchicalfilm-train-folds-0-1", "kernel_id": "123894240"}, {"ref": "farhanaz08/isic-md-missingnessawaregating-film-combinedresult", "kernel_id": "124966671"}, {"ref": "farhanaz08/isic-md-missingnessawaregating-film-create-folds", "kernel_id": "124955284"}, {"ref": "himadribaidya/melanoma-classification", "kernel_id": "124363599"}, {"ref": "sayandeeproyiem/devfest2020identifyingmelanomainlesionimages", "kernel_id": "124732092"}, {"ref": "farhanaz08/isic-md-missingnessawaregating-film-trainfolds2-3", "kernel_id": "125280798"}, {"ref": "farhanaz08/isic-md-missingnessawaregating-film-trainfolds0-1", "kernel_id": "125593139"}, {"ref": "qarabdulrafay/wound2", "kernel_id": "125775339"}, {"ref": "abdullahsal2704/psoarisis", "kernel_id": "125659846"}, {"ref": "saad451/notebook1fe32b5fc6", "kernel_id": "127975030"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-image-trainfold0-1", "kernel_id": "128779070"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-image-trainfold2-3", "kernel_id": "128859518"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-meta-trainfolds2-3", "kernel_id": "128360270"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-meta-trainfolds0-1", "kernel_id": "128257502"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-image-result", "kernel_id": "129469386"}, {"ref": "khemrajshrestha01/notebookc322a73b91", "kernel_id": "129380857"}, {"ref": "kamalrajtimilsena/isic-2020-jpg-224x224-resized", "kernel_id": "130445332"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-miss-trainfold2-3", "kernel_id": "131684878"}, {"ref": "seekersgame/isic-md-crossmodalfilm-train-folds-2-3", "kernel_id": "131690073"}, {"ref": "hasnat1242/resnet50", "kernel_id": "132215727"}]}
{"competition_id": "20274", "kernels": []}
{"competition_id": "20288", "kernels": []}
{"competition_id": "20289", "kernels": []}
{"competition_id": "20291", "kernels": []}
{"competition_id": "20292", "kernels": []}
{"competition_id": "20304", "kernels": []}
{"competition_id": "20305", "kernels": []}
{"competition_id": "20313", "kernels": []}
{"competition_id": "20314", "kernels": []}
{"competition_id": "20315", "kernels": []}
{"competition_id": "20326", "kernels": [{"ref": "pdavpoojan/dataquest", "kernel_id": "9239259"}, {"ref": "rohanlimaye20/lstm-dataquest-2020", "kernel_id": "9238188"}]}
{"competition_id": "20331", "kernels": [{"ref": "coffeeeeeeeee/xiao-jinlan-s-notebook", "kernel_id": "10246251"}, {"ref": "zhaoyaqi/zhao-yaqi-s-notebook", "kernel_id": "10290644"}, {"ref": "shuledelizi/chen-rui-s-shuledelizi-notebook", "kernel_id": "10272115"}, {"ref": "congeef/xie-yifan-k", "kernel_id": "10361280"}, {"ref": "congeef/xie-yifan", "kernel_id": "10361199"}, {"ref": "huangxilong/huangxilong", "kernel_id": "10298704"}]}
{"competition_id": "20339", "kernels": []}
{"competition_id": "20341", "kernels": []}
{"competition_id": "20350", "kernels": []}
{"competition_id": "20354", "kernels": []}
{"competition_id": "20356", "kernels": []}
{"competition_id": "20357", "kernels": []}
{"competition_id": "20358", "kernels": [{"ref": "sagamebruharmy/how-to-get-the-highest-private-accuracy-0-88461", "kernel_id": "9214873"}]}
{"competition_id": "20362", "kernels": []}
{"competition_id": "20366", "kernels": [{"ref": "yujinhwang/kernel406da87d4a", "kernel_id": "9902521"}]}
{"competition_id": "20370", "kernels": []}
{"competition_id": "20376", "kernels": []}
{"competition_id": "20378", "kernels": []}
{"competition_id": "20384", "kernels": []}
{"competition_id": "20386", "kernels": []}
{"competition_id": "20389", "kernels": [{"ref": "chihiroki/kernel33db74ee97", "kernel_id": "9445405"}]}
{"competition_id": "20396", "kernels": []}
{"competition_id": "20402", "kernels": []}
{"competition_id": "20407", "kernels": []}
{"competition_id": "20410", "kernels": [{"ref": "aczf178/kernel6622757e20", "kernel_id": "9297269"}]}
{"competition_id": "20419", "kernels": []}
{"competition_id": "20439", "kernels": []}
{"competition_id": "20441", "kernels": []}
{"competition_id": "20444", "kernels": []}
{"competition_id": "20452", "kernels": []}
{"competition_id": "20454", "kernels": []}
{"competition_id": "20455", "kernels": []}
{"competition_id": "20460", "kernels": []}
{"competition_id": "20464", "kernels": []}
{"competition_id": "20467", "kernels": []}
{"competition_id": "20469", "kernels": [{"ref": "camilonunez/g-man", "kernel_id": "9793755"}, {"ref": "ericzepeda/taller-1", "kernel_id": "12856961"}]}
{"competition_id": "20475", "kernels": [{"ref": "gaborfodor/covid-19-w4-a-few-charts", "kernel_id": "8884759"}, {"ref": "mauddib/covid-19-fit-logistic-curves-and-submit-week-3", "kernel_id": "8726677"}, {"ref": "cuberti/covid-19-rf-with-integrated-world-data", "kernel_id": "8525833"}, {"ref": "nitishabharathi/the-story-of-covid-19-in-india-eda-and-prediction", "kernel_id": "8785570"}, {"ref": "dkjung/covid-19-eda-s-korea-forecasting-global", "kernel_id": "8556546"}, {"ref": "gabrielmilan/custom-regressors-ensembling", "kernel_id": "8875181"}, {"ref": "pranshu29/medical-situation-covid-india-deep-analysis", "kernel_id": "8901720"}, {"ref": "eswarchandt/geospatial-analysis-on-covid-19-day-to-day-track", "kernel_id": "8628711"}, {"ref": "eswarchandt/timeseries-forecasting-of-covid-19-arima", "kernel_id": "8833171"}, {"ref": "antgoldbloom/covid-19-create-model-benchmark-panel", "kernel_id": "9131210"}, {"ref": "antgoldbloom/visualizing-covid-19-model-benchmarks", "kernel_id": "9327196"}, {"ref": "ianozsvald/model1b-script", "kernel_id": "9402823"}, {"ref": "abhishek/covid-19-forecasting-modelling-with-mobility", "kernel_id": "9413155"}, {"ref": "gaborfodor/beluga-w5-submissions", "kernel_id": "9417085"}, {"ref": "gaborfodor/w5-top-submissions", "kernel_id": "9503897"}, {"ref": "gaborfodor/c19w5-train-lgbs", "kernel_id": "9430660"}, {"ref": "gaborfodor/c19w5-create-submission", "kernel_id": "9435630"}, {"ref": "gaborfodor/c19w5-check-submission", "kernel_id": "9435993"}, {"ref": "gaborfodor/us-has-95-of-total-weight", "kernel_id": "9309394"}, {"ref": "gaborfodor/summary-covid19-global-forecasting-challenges", "kernel_id": "9944953"}, {"ref": "mathurinache/starter-code", "kernel_id": "9296369"}, {"ref": "mathurinache/mathurin-prevision2", "kernel_id": "9417570"}, {"ref": "mathurinache/mathurin-prevision1", "kernel_id": "9413771"}, {"ref": "n3n77i/julia-ql", "kernel_id": "9423958"}, {"ref": "philippsinger/covid-w5-worldometer-scraper", "kernel_id": "9393746"}, {"ref": "cairo43227/covid-week5-voting-xgboost-randomforest", "kernel_id": "9338870"}, {"ref": "titericz/test-1", "kernel_id": "9368744"}, {"ref": "mikeskim/kernel2e24883745", "kernel_id": "9392455"}, {"ref": "dott1718/cvw5-custom-hopt-v8-sub", "kernel_id": "9423831"}, {"ref": "dott1718/cvw5-custom-hopt-v108-sub", "kernel_id": "9423181"}, {"ref": "pietromarinelli/gradientboostregressor", "kernel_id": "9408069"}, {"ref": "pietromarinelli/randomforestregressor", "kernel_id": "9409358"}, {"ref": "cmanning/covid-sim-wk5", "kernel_id": "9329934"}, {"ref": "cmanning/covid-cumulative-wk5", "kernel_id": "9344694"}, {"ref": "kazanova/sub-with-external-v1", "kernel_id": "9422860"}, {"ref": "kazanova/kaz-sub-v3-correct-time-again-again", "kernel_id": "9418941"}, {"ref": "rohanrao/covid-19-forecasting-modelling-with-mobility", "kernel_id": "9323689"}, {"ref": "rohanrao/covid-19-forecasting-no-need-for-ml", "kernel_id": "9422670"}, {"ref": "datastr8nr/covid-19-data-exploration-basic-predict-tidied", "kernel_id": "9528373"}, {"ref": "datastr8nr/covid-19-time-series-prediction-prophet", "kernel_id": "9750388"}, {"ref": "ericfreeman/7-day-average", "kernel_id": "9310682"}, {"ref": "xscripter/kernel3e0abc9594", "kernel_id": "9330999"}, {"ref": "xscripter/kernel23e7fba15d", "kernel_id": "9423280"}, {"ref": "grayjay/kernel72884fb527", "kernel_id": "9400832"}, {"ref": "grayjay/three-exponential-equations", "kernel_id": "9942355"}, {"ref": "amezet/xgboostregressor-for-week-5", "kernel_id": "9369377"}, {"ref": "amezet/randomforestregressor-covid-19", "kernel_id": "9369513"}, {"ref": "sasrdw/gbt8g", "kernel_id": "9432223"}, {"ref": "sasrdw/gbt8f", "kernel_id": "9394254"}, {"ref": "sasrdw/locknquay", "kernel_id": "9420586"}, {"ref": "ragia11/eda-covid19-visualization", "kernel_id": "9381693"}, {"ref": "mchatters/mark-first", "kernel_id": "9320373"}, {"ref": "tunguz/covid-19-eda-week-5", "kernel_id": "9326187"}, {"ref": "tunguz/randomforestregressor-covid-19-week-5-5", "kernel_id": "9403740"}, {"ref": "tunguz/covid-19-week-5-using-xgboost", "kernel_id": "9423060"}, {"ref": "jonatank/kernel20d17caf3a", "kernel_id": "9420323"}, {"ref": "menglu/covid-may", "kernel_id": "9396577"}, {"ref": "aerdem4/covid-19-w5-pipeline", "kernel_id": "9315344"}, {"ref": "aerdem4/covid-19-w5-training", "kernel_id": "9340253"}, {"ref": "kjm1559/cv19-week5", "kernel_id": "9296859"}, {"ref": "mystery/covid-19-week-5-eda-prediction", "kernel_id": "9423837"}, {"ref": "mystery/covid-19-eda-and-forecasting", "kernel_id": "9420837"}, {"ref": "sreelathar/covid-week-5-random-forest-regressor", "kernel_id": "9332177"}, {"ref": "neg0000273/covid-19-week-5-auto-arima", "kernel_id": "9331510"}, {"ref": "sherli/covid19-global-forecasting", "kernel_id": "9359614"}, {"ref": "tyadav/covid19-eda", "kernel_id": "9318575"}, {"ref": "tyadav/covid19-edav", "kernel_id": "9322287"}, {"ref": "shivam04/covid-19-global-forecast", "kernel_id": "9431553"}, {"ref": "tcwilliams/covid-forecasting-week-5-w-lightgbm-v8", "kernel_id": "9400346"}, {"ref": "yaroshevskiy/covid19-model-using-ensemble-learning-with-95-acc", "kernel_id": "9416102"}, {"ref": "yaroshevskiy/covid-19-global-forecasting", "kernel_id": "9416130"}, {"ref": "therealroman/fast-ai-v2-starter-pack-covid19-5-non-leaky", "kernel_id": "9423808"}, {"ref": "ishivinal/covid-19-analysis-visualizations-predictions", "kernel_id": "9266537"}, {"ref": "chintzva/fork-of-cbrwithavgtvincatcols-1b4ef1", "kernel_id": "9423264"}, {"ref": "chintzva/cbrwithavgtvincatcols", "kernel_id": "9419032"}, {"ref": "chintzva/kernel3ce985037b", "kernel_id": "9408646"}, {"ref": "ahmadabboud/covid19-competition-w5-gradient-boosting-r", "kernel_id": "9844389"}, {"ref": "oystein/first-foray-into-covid-19-forecasting", "kernel_id": "9844709"}, {"ref": "ichijo/kernel41aa1d9143", "kernel_id": "9384792"}, {"ref": "mikeberhane9/covid19-week-5-with-supplementary-datasets", "kernel_id": "9417982"}, {"ref": "ilialar/w5-solution-2", "kernel_id": "9418184"}, {"ref": "ilialar/w5-solution-7", "kernel_id": "9418402"}, {"ref": "sudhirnl7/quantile-regression", "kernel_id": "9399191"}, {"ref": "bitsnpieces/covid19-wk5", "kernel_id": "9302961"}, {"ref": "maskarasaket/benchmarking-numba-and-lags", "kernel_id": "9293428"}, {"ref": "rajeshcv/insight-into-covid-cases-globally-as-of-8th-may", "kernel_id": "9388955"}, {"ref": "mhcrnl/01-covid19linearregression", "kernel_id": "9357343"}, {"ref": "alisimaei/us-covid-data-analysis", "kernel_id": "9981153"}, {"ref": "sundharam55/kernel710be73927", "kernel_id": "9503868"}, {"ref": "shawon10/covid-19-forecasting-by-random-regressor-hptuning", "kernel_id": "9410305"}, {"ref": "christofhenkel/blend-pd-v8-kaz-subv3-1-1", "kernel_id": "9423979"}, {"ref": "christofhenkel/blend-pd-v108-kaz-sub-with-external-v1-1-1", "kernel_id": "9423860"}, {"ref": "ravve7/covid-19-data-analysis-and-visualization", "kernel_id": "9786524"}, {"ref": "simoneperazzoli/covid19-model-rfregressor", "kernel_id": "9754108"}, {"ref": "ngyibin/covid19-week5-forecasting-linear-regression-recov", "kernel_id": "9304658"}, {"ref": "fszatkowski96/covid-19-ppda-project", "kernel_id": "9596070"}, {"ref": "vbmokin/covid-19-week5-global-forecasting-eda-extratr", "kernel_id": "9422325"}, {"ref": "kojimar/covid19-week5-visuals-randomforestregressor", "kernel_id": "9417342"}, {"ref": "kojimar/covid-19-forecasting-modelling-with-mobility", "kernel_id": "9417384"}, {"ref": "carlosdg/covid-homework", "kernel_id": "9346859"}, {"ref": "leela2299/covid-19-mean-encoding-weather-data", "kernel_id": "9395344"}, {"ref": "alexpcli/c19gfw5-sarimax", "kernel_id": "9359599"}, {"ref": "alexpcli/c19gfw5-weight-and-loss", "kernel_id": "9349028"}, {"ref": "akashsuper2000/gradientboostregressor-week-5", "kernel_id": "9317024"}, {"ref": "akashsuper2000/xgboostregressor-for-week-5", "kernel_id": "9305470"}, {"ref": "akashsuper2000/xgradientboostregressor-week-5", "kernel_id": "9295267"}, {"ref": "akashsuper2000/randomforestregressor", "kernel_id": "9392483"}, {"ref": "amitpwr1/how-fast-does-covid-19-spread-in-india", "kernel_id": "9839649"}, {"ref": "appian/covid-week5-v1", "kernel_id": "9422840"}, {"ref": "appian/covid-week5-v2", "kernel_id": "9422901"}, {"ref": "ashutoshsoni891/covid19-w5-forecasting", "kernel_id": "9375317"}, {"ref": "ashutoshsoni891/kernel1591248a55", "kernel_id": "9412494"}, {"ref": "rishabhlalla/covid-19-week-5-using-xgboost", "kernel_id": "9421061"}, {"ref": "pilipeykogrisha/covid-2019-w5", "kernel_id": "9353809"}, {"ref": "hungrymind/covid19-cases-prediction-beyond-june", "kernel_id": "9496147"}, {"ref": "yustasalex/covid19-gf-week5-sarimax", "kernel_id": "9295294"}, {"ref": "khotijahs1/covid19-global-forecasting-week-5", "kernel_id": "9313690"}, {"ref": "kulkarniadi/kaggle-covid19-week5-arima", "kernel_id": "9378813"}, {"ref": "najoel/covid-k", "kernel_id": "9384675"}, {"ref": "arnadu/sir-local-calibration-dashboard", "kernel_id": "9137513"}, {"ref": "arnadu/seirf-piecewise-linear-contact-rate-lmfit", "kernel_id": "9853982"}, {"ref": "dssuyog/covid19-global-forecasting-week-5", "kernel_id": "9393495"}, {"ref": "soham1024/covid-19-week5-randomforestregressor", "kernel_id": "9398947"}, {"ref": "soham1024/covid-19-global-forecasting", "kernel_id": "9418716"}, {"ref": "juder0y/covid-week-5-with-randomforestregressor", "kernel_id": "9416194"}, {"ref": "omegaji/eda-india-eda-xgboost", "kernel_id": "9295905"}, {"ref": "jesucristo/c19-w5-fastai", "kernel_id": "9422693"}, {"ref": "jesucristo/c19-w5-rf2", "kernel_id": "9423815"}, {"ref": "k123vinod/kernel634eddcf4d", "kernel_id": "9317443"}, {"ref": "cjh34544/covid19-model-using-ensemble-learning-for-china", "kernel_id": "9747874"}, {"ref": "yushg123/seeing-the-spread-why-not-regression", "kernel_id": "9300002"}, {"ref": "kdnishanth/covid-19-forcasting", "kernel_id": "9316751"}, {"ref": "dimple2801/covid-19-week-5-gradient-boosting-regressor", "kernel_id": "9423733"}, {"ref": "gorewa/week5-gbr", "kernel_id": "9353113"}, {"ref": "sureshmecad/covid-19-global-forecasting-week-5", "kernel_id": "9301235"}, {"ref": "barindersingh/covid-19-week-5", "kernel_id": "9325434"}, {"ref": "sumedh97/covid19-eda-and-prediction", "kernel_id": "9432310"}, {"ref": "forwet/covid-19", "kernel_id": "9398542"}, {"ref": "deepakat002/covid-19-week-5-eda-prediction", "kernel_id": "9402333"}, {"ref": "n1sarg/covid-19-eda-and-forecasting", "kernel_id": "9024912"}, {"ref": "kaushil268/covid-19-global-forecasting-week-5", "kernel_id": "9485535"}, {"ref": "paritmehta123/covid-19-knn-regressor-pars", "kernel_id": "9375548"}, {"ref": "kinkpunk/my-forecasting-covid-19-week-5", "kernel_id": "9295598"}, {"ref": "sanyam83/covid-19", "kernel_id": "9429157"}, {"ref": "binhlc/sars-cov-2-week-5-arima-model", "kernel_id": "9391110"}, {"ref": "binhlc/sar-cov-2-week-5-random-forest-quantile", "kernel_id": "9389430"}, {"ref": "binhlc/sar-cov-2-week-5-gradientboosting-vs-light-gbm", "kernel_id": "9354970"}, {"ref": "ving2000/covid19-week-4", "kernel_id": "9015331"}, {"ref": "ving2000/global-coronavirus-week5-visualization", "kernel_id": "9420109"}, {"ref": "benzintel01/randomforestregressor-covid-19", "kernel_id": "9319289"}, {"ref": "kirderf/all-feat-0-start-1xdayv2-10", "kernel_id": "9422316"}, {"ref": "kirderf/all-feat-0-end-noxday", "kernel_id": "9415174"}, {"ref": "kirderf/all-feat-0-start-noxday", "kernel_id": "9415177"}, {"ref": "kirderf/red-feat-0-end-noxday", "kernel_id": "9415179"}, {"ref": "kirderf/red-feat-0-start-noxday", "kernel_id": "9415189"}, {"ref": "kirderf/bi-lstm", "kernel_id": "9403435"}, {"ref": "kirderf/bi-lstm-private-lb", "kernel_id": "9472221"}, {"ref": "kirderf/regression-7-models-ensemble-benchmark-private-lb", "kernel_id": "9463870"}, {"ref": "prasharbhattacharya/covid19-global-forecasting-week-5", "kernel_id": "9377547"}, {"ref": "sophiasusanraju/week5-v2", "kernel_id": "9420456"}, {"ref": "tushartarihalkar/ee257-covid", "kernel_id": "9470554"}, {"ref": "simo333/covid19wk5-keras-tuner", "kernel_id": "9294269"}, {"ref": "jvpasp/covid-19-week5-randomforestregressor-96-6-acc", "kernel_id": "9383679"}, {"ref": "sujeetpardeshi/kernel3e3a44bc72", "kernel_id": "9411483"}, {"ref": "rashidpk/by-rashid", "kernel_id": "9401706"}, {"ref": "darshanjain29/xgboost-with-feature-importance-covid19-week-5", "kernel_id": "9316421"}, {"ref": "bernhardklinger/kernel6279047359", "kernel_id": "9347563"}, {"ref": "syzymon/fast-ai-v2-starter-pack-covid19-5-non-leaky", "kernel_id": "9383378"}, {"ref": "syzymon/fork-of-fast-ai-v2-starter-pack-covid19-5", "kernel_id": "9415836"}, {"ref": "mdmahmudferdous/covid19-global-forecasting-week5", "kernel_id": "9388896"}, {"ref": "leelamanasa/covid-19-week5-analysis-and-prediction", "kernel_id": "9333720"}, {"ref": "granjithkumar/covid19-model-using-ensemble-learning-with-95-acc", "kernel_id": "9382396"}, {"ref": "siddheshkadam/covid-19-week-5-linear-regression", "kernel_id": "9341185"}, {"ref": "siddheshkadam/covid-19-week-5-eda", "kernel_id": "9327714"}, {"ref": "lincolnmoura2020/covid-19-forecast-model-gompertz-sigmoid", "kernel_id": "9729128"}, {"ref": "meryamayat/covid19-week5-visuals-randomforestregressor", "kernel_id": "9423648"}, {"ref": "ranjankumarjha/covid19-week-5", "kernel_id": "9308983"}, {"ref": "harjapsingh/covid-19-eda-randomforestregressor", "kernel_id": "9389196"}, {"ref": "ekzemplaro/covid19-week05-may11", "kernel_id": "9332496"}, {"ref": "jinameliachoi/tutorial-covid-19-randomforest-regressor", "kernel_id": "9322985"}, {"ref": "priyankakondaparthii/covid-19-week-5", "kernel_id": "9392242"}, {"ref": "ananyaroy1011/covid-data", "kernel_id": "9333902"}, {"ref": "anirudhhatiwari/ee257-ml-anirudhhamahant", "kernel_id": "9330992"}, {"ref": "avirl3364/lstm-covid19", "kernel_id": "9376659"}, {"ref": "shreyaszadrao/covid19week-5", "kernel_id": "9360324"}, {"ref": "sarthakkasturi/kernel7289e0fc67", "kernel_id": "9340814"}, {"ref": "nischaydnk/covid-19-week-5-eda-prediction", "kernel_id": "9420846"}, {"ref": "nischaydnk/covid19-week5-visuals-randomforestregressor", "kernel_id": "9294240"}, {"ref": "avnika22/covid19-global-forecasting", "kernel_id": "9381037"}, {"ref": "blackmantis/covid-19-randomforest", "kernel_id": "9421226"}, {"ref": "usamanathani/fork-of-covid19-xbgregressor", "kernel_id": "9414530"}, {"ref": "rojinzandi/covid-19-visualization-and-regression", "kernel_id": "9330081"}, {"ref": "mahantpattanshetti/covid19-week-5-random-forest-lbgm", "kernel_id": "9423872"}, {"ref": "ramandeepjagdev/week-5-with-submission", "kernel_id": "9353198"}, {"ref": "amechinwose/covid-19", "kernel_id": "9484034"}, {"ref": "dennischhun/covid19-week-5-beginner-machine-learning", "kernel_id": "9386057"}, {"ref": "dennischhun/covid19-week-5-1-beginner-machine-learning", "kernel_id": "9519459"}, {"ref": "ee257sp20eiei/kernel6b2cc79ddc", "kernel_id": "9385422"}, {"ref": "wuchusj/covid19-week5-submission", "kernel_id": "9405716"}, {"ref": "nekkittay/covid-19-notebook", "kernel_id": "9323682"}, {"ref": "nekkittay/covid-19-notebook1", "kernel_id": "9379049"}, {"ref": "nekkittay/covid-19-notebook2", "kernel_id": "9393951"}, {"ref": "aengusleman/kernel6cf0775e67", "kernel_id": "9945542"}, {"ref": "katusads/covid19-and-economic-impact-research", "kernel_id": "9449364"}, {"ref": "linomaggirodrigues/covid-19-in-brazil-s-o-paulo-state-analysis", "kernel_id": "9460042"}, {"ref": "yashwanthsai841/ysai-w5", "kernel_id": "9591769"}, {"ref": "hanshengchen0319/ai20s-germany-prediction", "kernel_id": "9991414"}, {"ref": "ersunyanal1/mertcan-yazgan-final-al-mas", "kernel_id": "9909372"}, {"ref": "tatianakolmakova/kernel283594e715", "kernel_id": "10162181"}, {"ref": "ichijo/sir-fitting", "kernel_id": "10909342"}, {"ref": "sunehanigam/will-covid-19-end-in-india", "kernel_id": "10274898"}, {"ref": "vbmokin/all-ranking-covid19-global-forecasting-challenges", "kernel_id": "10083971"}, {"ref": "vithal2311/covid-week-5", "kernel_id": "10379190"}, {"ref": "vithal2311/covid-19-xgboost", "kernel_id": "10434528"}, {"ref": "sourire3223/fork-of-fork-of-ai20s-germany-prediction", "kernel_id": "10086342"}, {"ref": "arnadu/seirf-lmfit", "kernel_id": "10191581"}, {"ref": "daksh15/kernel133beb3045", "kernel_id": "10017296"}, {"ref": "leader2199/long-20173242", "kernel_id": "10848870"}, {"ref": "nilanshk/covid-19-lstm-and-arima", "kernel_id": "10681302"}, {"ref": "winnietan666/covid19-introductiontimeseriesanalysis", "kernel_id": "10200666"}, {"ref": "vishalbrahmbhatt/india-covid-19-prediction", "kernel_id": "10057012"}, {"ref": "radharathore/kernel3a8988946d", "kernel_id": "10949435"}, {"ref": "ykpofficial/kernel1199ddfa57", "kernel_id": "10742036"}, {"ref": "miaohmz/forecast-covid-19-patients-s-state-by-immune-maker", "kernel_id": "10225433"}, {"ref": "rahulmakwana/covid-19-forecasting-week-5-rf-and-xgboost", "kernel_id": "10165770"}, {"ref": "hanshengchen0319/fork-of-fork-of-ai20s-germany-prediction", "kernel_id": "10077573"}, {"ref": "abhiparashar/eda-covid-19-notebook-1", "kernel_id": "10112762"}, {"ref": "nguyentanthin/solution", "kernel_id": "10590776"}, {"ref": "dipesh80/covid-case-study", "kernel_id": "11549341"}, {"ref": "thepinokyo/esin-covid19-forecasting-capstone", "kernel_id": "11915144"}, {"ref": "botch0/covid-data-forecast", "kernel_id": "11060903"}, {"ref": "nurlannurmash/notebook-for-covid-19", "kernel_id": "11666723"}, {"ref": "ksquare30/covid-19-situation-in-the-world-jan-june", "kernel_id": "11389603"}, {"ref": "kens3i/covid-19-forecasting-with-brief-explanation", "kernel_id": "11968817"}, {"ref": "kamiljan/notebook4719d9e390", "kernel_id": "11356089"}, {"ref": "phanbui/project-tree", "kernel_id": "11082338"}, {"ref": "ankitsani4329/covidcomp", "kernel_id": "12197116"}, {"ref": "thepinokyo/esin-part-2-covid19", "kernel_id": "12132941"}, {"ref": "sinamhd9/covid-19-eda-animated-bar-chart-race", "kernel_id": "12773484"}, {"ref": "pelinay/covid19-forecasting", "kernel_id": "12040493"}, {"ref": "sohamohajeri/covid19-global-forecasting-kaggle-competition", "kernel_id": "12406634"}, {"ref": "eitanalroy/sir-pools", "kernel_id": "12416695"}, {"ref": "corochann/covid-19-current-situation-in-2021", "kernel_id": "13955343"}, {"ref": "arthurkhisamov/fork-of-covid19-xbgregressor", "kernel_id": "13777447"}, {"ref": "kedarsai/covid-19-random-forest", "kernel_id": "14963388"}, {"ref": "priyaltaksari/the-story-of-covid-19-in-india-eda-and-prediction", "kernel_id": "14318127"}, {"ref": "rohith2303/mini-project-covid-19-eda-forecasting", "kernel_id": "14512608"}, {"ref": "martinhvizdak/covid-19", "kernel_id": "14412512"}, {"ref": "midouazerty/covid19-global-forecasting-competition-top-10-98", "kernel_id": "15256462"}, {"ref": "znz92970/covid-19-decisiontree", "kernel_id": "15613771"}, {"ref": "shamaevmivt20/03-april-covid-19-randomforests", "kernel_id": "15991477"}, {"ref": "osamarashdi/covid-19-forcasting", "kernel_id": "15213390"}, {"ref": "petrovegor/random-forest-xgboost", "kernel_id": "15993552"}, {"ref": "dayankoo/442021", "kernel_id": "15991718"}, {"ref": "catgoesfishing/5523-project", "kernel_id": "15998912"}, {"ref": "nikolaypirozhkov/covid-19pir", "kernel_id": "16675856"}, {"ref": "pavlovaivt20/covid-19-xgboost", "kernel_id": "16500119"}, {"ref": "kiesik98/makarov-covid", "kernel_id": "16508462"}, {"ref": "bhavyakhurana/covid-19-global-forcasting", "kernel_id": "17310305"}, {"ref": "khchoudhary8/notebook537f549b65", "kernel_id": "17329066"}, {"ref": "kanishkasoni081297/covid-19-global-forecasting-week-5", "kernel_id": "17326858"}, {"ref": "muskansoni0501/covid-19-global-forecasting-week-5", "kernel_id": "17311537"}, {"ref": "asmitaporwal/covid-19-data-science-challenge", "kernel_id": "17312298"}, {"ref": "gpriyanshi/notebook852a85910d", "kernel_id": "17330365"}, {"ref": "rekhav19bce1871/review-1", "kernel_id": "20215298"}, {"ref": "nishitapatnaik/covid-19-global-forecasting-week-5", "kernel_id": "21799380"}, {"ref": "thirupalanim/covid-19-eda-forecasting", "kernel_id": "22650583"}, {"ref": "nvatuan/covid19-week5-global-forecast", "kernel_id": "22561537"}, {"ref": "chaqsa/covid-19-current-situation-in-2021", "kernel_id": "22069690"}, {"ref": "nimish17/the-story-of-covid-19-in-india-eda-and-prediction", "kernel_id": "25511976"}, {"ref": "ziqiwang0724/covid19-global-forecasting-wang-ziqi-22402063", "kernel_id": "32544407"}, {"ref": "umair3649/assignment-task", "kernel_id": "32907987"}, {"ref": "halilbrahimblge/covid-19-global-forecasting-week-5", "kernel_id": "36998591"}, {"ref": "takaakisato/notebook85e9f87cd0", "kernel_id": "53703542"}, {"ref": "kaiser7lu/covid19-time-series-forecast", "kernel_id": "70249375"}, {"ref": "jainilspatel/covid19-global-forecasting", "kernel_id": "76713133"}, {"ref": "rafaeldrago/covid19-global-forecasting-regression", "kernel_id": "81394382"}, {"ref": "sammnyujoshii/the-story-of-covid-19-in-india-eda", "kernel_id": "115364102"}]}
{"competition_id": "20480", "kernels": [{"ref": "ilapro53/766e9-sb-project-tests", "kernel_id": "55455252"}, {"ref": "ilapro53/7fdcb-sb-proj-fer2013-vs-original", "kernel_id": "58393637"}, {"ref": "ilapro53/5dfc1-vgg-face-py3-6-6-training", "kernel_id": "58806632"}, {"ref": "ilapro53/3n4dr-vgg-face-py3-6-6-submit-kaggle", "kernel_id": "58998631"}, {"ref": "sergeykislitsyn/fine-tune-inceptionv3-plus-hyperopt", "kernel_id": "60593432"}, {"ref": "andreyzelov/vgg16-for-emotional-recognizing", "kernel_id": "65278183"}, {"ref": "yegoromelchenko/notebook8c8b57d604", "kernel_id": "65073188"}, {"ref": "guzhinbogdan/emotion-recognition-submit", "kernel_id": "66663612"}, {"ref": "lanternshadow/skillbox-vgg-face", "kernel_id": "66655425"}, {"ref": "aydarabdullin/aydar-emotions-face-efficientnetb2", "kernel_id": "84019819"}]}
{"competition_id": "20483", "kernels": []}
{"competition_id": "20486", "kernels": [{"ref": "saoodmohd/starter-notebook", "kernel_id": "9224095"}]}
{"competition_id": "20501", "kernels": []}
{"competition_id": "20516", "kernels": [{"ref": "prakhar21god/starter-notebook", "kernel_id": "9283112"}]}
{"competition_id": "20519", "kernels": [{"ref": "hyeongjun0117/kernel3872eec622", "kernel_id": "10726523"}]}
{"competition_id": "20520", "kernels": []}
{"competition_id": "20525", "kernels": []}
{"competition_id": "20526", "kernels": [{"ref": "deffro/baseline-model", "kernel_id": "9269178"}]}
{"competition_id": "20530", "kernels": []}
{"competition_id": "20532", "kernels": [{"ref": "napsternxg/3c-influence-initial-data-collection", "kernel_id": "10068453"}, {"ref": "plarmuseau/3c-classif-oneversus-rest", "kernel_id": "10589296"}]}
{"competition_id": "20533", "kernels": [{"ref": "plarmuseau/citing-title-recognize-xtx", "kernel_id": "9583846"}, {"ref": "plarmuseau/citing-title-recognize-source", "kernel_id": "9583142"}, {"ref": "plarmuseau/citing-text-recognize-xtx-cluster-cos", "kernel_id": "9595242"}, {"ref": "plarmuseau/citing-title-recognize-xtx-cluster-tfidf", "kernel_id": "9594444"}, {"ref": "plarmuseau/citing-text-recognize-xtx-up", "kernel_id": "9653568"}, {"ref": "napsternxg/3c-influence-initial-data-collection", "kernel_id": "10068453"}, {"ref": "plarmuseau/fork-of-3c-fasttext", "kernel_id": "10325554"}, {"ref": "plarmuseau/find-bottom", "kernel_id": "10322235"}, {"ref": "plarmuseau/reproduce-winning-solution", "kernel_id": "10965063"}]}
{"competition_id": "20540", "kernels": [{"ref": "hyeongjun0117/kernel646954ad35", "kernel_id": "10725706"}]}
{"competition_id": "20542", "kernels": [{"ref": "pratt3000/pasc-2-0-2-0-draft-3-accuracy-85-55-private", "kernel_id": "9584488"}, {"ref": "rhn1903/pasc-dl-baseline", "kernel_id": "9542009"}, {"ref": "keshav24/lgbm-data-quest", "kernel_id": "9649441"}, {"ref": "prithvijaunjale/lgbm-classification", "kernel_id": "9639834"}]}
{"competition_id": "20543", "kernels": [{"ref": "daechanhan/kernel675f61c968", "kernel_id": "10387142"}, {"ref": "hyeongjun0117/kernel375b384e2d", "kernel_id": "10726177"}]}
{"competition_id": "20545", "kernels": [{"ref": "hyeongjun0117/kernel301998fa4c", "kernel_id": "10726578"}, {"ref": "yukyungchoi/notebook3957c606b9", "kernel_id": "52616393"}, {"ref": "leejieuni/notebook2772b4590a", "kernel_id": "52970115"}, {"ref": "hwiseonkim/2024-3", "kernel_id": "52969527"}, {"ref": "jaejunmin/2024-3", "kernel_id": "52969283"}]}
{"competition_id": "20553", "kernels": [{"ref": "anthonywainer/kernel7d6451f942", "kernel_id": "9400367"}]}
{"competition_id": "20561", "kernels": [{"ref": "yellowduck/keras-baseline", "kernel_id": "9490161"}, {"ref": "maedemaftouni/pytorch-baseline-for-semantic-segmentation", "kernel_id": "12384336"}, {"ref": "akulasuryaprakash/gradcam", "kernel_id": "13594663"}, {"ref": "givral/xuantruong", "kernel_id": "14648330"}, {"ref": "vimpsykal/unet-segmentation", "kernel_id": "15810643"}, {"ref": "lauraemilia/keras-baseline-using-pspnet", "kernel_id": "15596934"}, {"ref": "lauraemilia/keras-baseline-using-unet", "kernel_id": "15326075"}, {"ref": "ajeyakrishna/covid-segmentation", "kernel_id": "18571770"}, {"ref": "lalehsfz/visualizing-images-and-their-mask-by-widget", "kernel_id": "20567202"}, {"ref": "sandeepritu/covid-19-segmentation-k-fold-without-radiopedia", "kernel_id": "21197126"}, {"ref": "hemanthnov2001/unet-segmentation", "kernel_id": "33517314"}, {"ref": "mahdiasdzd/mosmed-elunet-mobilenetv3-quantization", "kernel_id": "44509481"}, {"ref": "mahdiasdzd/mobile-models-with-elunet", "kernel_id": "45922255"}, {"ref": "nagimovtimur/keras-baseline", "kernel_id": "45473987"}, {"ref": "oskaradolfovillalpez/covid-segmentation", "kernel_id": "65234315"}, {"ref": "arturodiazlopez/covid-19-segmentation-k-fold-without-radiopedia", "kernel_id": "65237702"}, {"ref": "tomimread/pytorch-baseline-for-semantic-segmentation", "kernel_id": "91572183"}, {"ref": "joserlpez246/kaggle-competition-covid-19-segmentation", "kernel_id": "92234050"}, {"ref": "danielqueijeiroalbo/covid-19-concentrados", "kernel_id": "92168034"}, {"ref": "a01274723/covid-segmentation", "kernel_id": "92090241"}, {"ref": "maxtoscanodaz/matchai-ahora-si-final-final-ya", "kernel_id": "92297005"}, {"ref": "sofiapetrenko/notebook32015a6bce", "kernel_id": "98753164"}, {"ref": "nikitamagomedeminov/mask2former-segmentation", "kernel_id": "102679369"}, {"ref": "robertosernanio/covid19-notebook-for-ai-challenge", "kernel_id": "133467786"}, {"ref": "sebastinoso/notebook4aa45b5a4e", "kernel_id": "133467904"}, {"ref": "sebastinoso/retito-covid-segmentation", "kernel_id": "133743897"}, {"ref": "xmaster417/covid19-segmentation-with-u-net-by-pinu-industries", "kernel_id": "134551438"}]}
{"competition_id": "20562", "kernels": []}
{"competition_id": "20564", "kernels": [{"ref": "jjjjjy/cat-vs-dogs", "kernel_id": "9668089"}]}
{"competition_id": "20565", "kernels": []}
{"competition_id": "20568", "kernels": []}
{"competition_id": "20569", "kernels": []}
{"competition_id": "20571", "kernels": []}
{"competition_id": "20575", "kernels": [{"ref": "hyeongjun0117/kernel4d102c0018", "kernel_id": "10726458"}]}
{"competition_id": "20578", "kernels": []}
{"competition_id": "20580", "kernels": []}
{"competition_id": "20581", "kernels": []}
{"competition_id": "20585", "kernels": [{"ref": "nithinmanne/cifar100", "kernel_id": "9610979"}]}
{"competition_id": "20593", "kernels": []}
{"competition_id": "20596", "kernels": []}
{"competition_id": "20597", "kernels": []}
{"competition_id": "20600", "kernels": [{"ref": "nithinmanne/fashionmnist", "kernel_id": "9611042"}]}
{"competition_id": "20604", "kernels": [{"ref": "wcukierski/testing-reading-of-id00011637202177653955184", "kernel_id": "10654081"}, {"ref": "yixiang/exploratory-data-analysis-eda", "kernel_id": "10930982"}, {"ref": "shravankoninti/eda-patientjourney-sweetviz-visualization", "kernel_id": "10544038"}, {"ref": "titericz/tabular-simple-eda-linear-model", "kernel_id": "10544522"}, {"ref": "rohanrao/osic-understanding-laplace-log-likelihood", "kernel_id": "10551412"}, {"ref": "rashmibanthia/corrupt-files", "kernel_id": "10548530"}, {"ref": "rashmibanthia/dicom-jpg", "kernel_id": "10548963"}, {"ref": "rom1m201363/random-convolutions-and-self-supervised-learning", "kernel_id": "10850981"}, {"ref": "subbuvolvosekar/osic-dicom-processnig-pydicom-and-simpleitk", "kernel_id": "10661543"}, {"ref": "subbuvolvosekar/eda-visualization-osic", "kernel_id": "10579773"}, {"ref": "jryoungw/what-should-we-consider-when-handling-dicom", "kernel_id": "10586135"}, {"ref": "rdizzl3/osic-eda-dicom-visualization", "kernel_id": "10544114"}, {"ref": "yeshwanthv/osic-pulmonary-fibrosis-progression-basic-eda", "kernel_id": "10544820"}, {"ref": "akashram/intro-to-boosting-models-categorical-data-nlp", "kernel_id": "10447958"}, {"ref": "akashram/boosting-models-intro-and-baseline", "kernel_id": "10543846"}, {"ref": "mavillan/lightgbm-quantile-regression", "kernel_id": "10712207"}, {"ref": "mukundranjan/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10546902"}, {"ref": "manojprabhaakr/basic-eda-dicom-images-and-lightgbm", "kernel_id": "10556565"}, {"ref": "akurmukov/collect-dicoms-metadata-interactive-visualization", "kernel_id": "10549826"}, {"ref": "hmendonca/kaggle-tf-keras-utility-script", "kernel_id": "10593142"}, {"ref": "ttahara/osic-baseline-lgbm-with-custom-metric", "kernel_id": "10613631"}, {"ref": "kjm1559/make-dicom-3d-image", "kernel_id": "10640360"}, {"ref": "paulorzp/baseline-ridge", "kernel_id": "10580132"}, {"ref": "sdlee94/pulmonary-fibrosis-progression-eda-for-beginners", "kernel_id": "10583957"}, {"ref": "legend507/eda-for-osic-pulmonary-fibrosis-progression", "kernel_id": "10661098"}, {"ref": "prem134/osic-pulmonary-fibrosis-progression-prem", "kernel_id": "10864139"}, {"ref": "wburchenal/basic-pulmonary-fibrosis-analysis-of-tabular-data", "kernel_id": "10898030"}, {"ref": "vgarshin/osic-keras-images-and-tabular-data-inference", "kernel_id": "10985306"}, {"ref": "vgarshin/osic-keras-images-and-tabular-data-model", "kernel_id": "10958852"}, {"ref": "jeabat/osic-bayesian-ridge-regression", "kernel_id": "10606964"}, {"ref": "yeayates21/osic-image-data-prep-and-baseline-regression-model", "kernel_id": "10711276"}, {"ref": "yeayates21/osic-simple-image-eda", "kernel_id": "10544136"}, {"ref": "kishor1210/basic-modeling-in-keras", "kernel_id": "10759879"}, {"ref": "carlossouza/quantile-regression-pytorch-tabular-data-only", "kernel_id": "10800582"}, {"ref": "carlossouza/end-to-end-model-ct-scans-tabular", "kernel_id": "10823165"}, {"ref": "carlossouza/osic-autoencoder-training", "kernel_id": "10908311"}, {"ref": "carlossouza/osic-autoencoder-training-on-tpus", "kernel_id": "10943549"}, {"ref": "currypurin/osic-image-shape-eda-and-preprocess", "kernel_id": "10745940"}, {"ref": "avirdee/understanding-dicoms", "kernel_id": "10543882"}, {"ref": "pranavkasela/interactive-and-animated-ct-scan", "kernel_id": "10592367"}, {"ref": "kevinlam/osic-metadata-eda-analysis-of-unique-patients", "kernel_id": "10799384"}, {"ref": "donkeys/preprocessing-images-to-normalize-colors-and-sizes", "kernel_id": "10654993"}, {"ref": "donkeys/ct-slices-basic-eda", "kernel_id": "10582167"}, {"ref": "him4318/best-local-score", "kernel_id": "10572426"}, {"ref": "miklgr500/image2vec-autoencoder", "kernel_id": "10612267"}, {"ref": "miklgr500/lung-volume-feature", "kernel_id": "10634376"}, {"ref": "miklgr500/unsupervise-lung-detection", "kernel_id": "10633540"}, {"ref": "miklgr500/generalization-of-unsupervised-segmentation-unet", "kernel_id": "10947376"}, {"ref": "miklgr500/linear-decay-based-on-resnet-cnn", "kernel_id": "10670018"}, {"ref": "miklgr500/unsupervise-lung-detection-v2-hoover", "kernel_id": "10989594"}, {"ref": "miklgr500/generalized-lung-mask", "kernel_id": "10999893"}, {"ref": "sarthak97/osic-starter-eda-dicom-viz-analysis", "kernel_id": "10866149"}, {"ref": "tamal2000/3d-display-ct-scan", "kernel_id": "10826909"}, {"ref": "ragnar123/osic-simple-lgbm-rf-baseline", "kernel_id": "10563982"}, {"ref": "shebinscaria/initial-eda-patient-analysis", "kernel_id": "10548420"}, {"ref": "andypenrose/osic-multiple-quantile-regression-starter", "kernel_id": "10618661"}, {"ref": "shaitender/osic-pytorch-alert-in-progress", "kernel_id": "10549833"}, {"ref": "rkuo2000/pulmonary-fibrosis", "kernel_id": "10844641"}, {"ref": "ptsinganos/osic-basic-eda", "kernel_id": "10544242"}, {"ref": "ulrich07/osic-multiple-quantile-regression-starter", "kernel_id": "10614402"}, {"ref": "ulrich07/pointwise-ensemble-with-deterministic-uncertainty", "kernel_id": "10650203"}, {"ref": "ulrich07/osic-keras-starter-with-tabular-data-comp-metrics", "kernel_id": "10577409"}, {"ref": "ulrich07/osic-keras-starter-with-custom-metrics", "kernel_id": "10554600"}, {"ref": "ulrich07/osic-basic-tabular-data-augmentation-nn", "kernel_id": "10943697"}, {"ref": "shishu1421/osic-eda", "kernel_id": "10561825"}, {"ref": "shashwatwork/pulmonary-fibrosis-progression-phase-i-eda", "kernel_id": "10595979"}, {"ref": "bharatsahu/eda-and-lightgbm-predictions", "kernel_id": "10546167"}, {"ref": "unforgiven/osic-comprehensive-eda", "kernel_id": "10674241"}, {"ref": "aleksandradeis/pulmonary-fibrosis-progression-eda", "kernel_id": "10763540"}, {"ref": "barnalipics/pyspark-exploration", "kernel_id": "10976072"}, {"ref": "yasufuminakama/osic-lgb-baseline", "kernel_id": "10546833"}, {"ref": "yasufuminakama/osic-ridge-baseline", "kernel_id": "10557893"}, {"ref": "abiolatti/stratified-tfrecords", "kernel_id": "10988398"}, {"ref": "muhakabartay/osic-pulmonary-fibrosis-eda-dicom-full", "kernel_id": "10546686"}, {"ref": "yeeshu11/baseline-elasticnet", "kernel_id": "10591055"}, {"ref": "dlarionov/osic-dicom-sandbox", "kernel_id": "10896272"}, {"ref": "servietsky/osic-transform-dicom-into-dataframe", "kernel_id": "10986328"}, {"ref": "jameschapman19/pytorch-tabular-direct-prediction", "kernel_id": "10655739"}, {"ref": "jameschapman19/dict-of-good-dcm-and-bad-dcm-files-by-subject", "kernel_id": "10560113"}, {"ref": "jameschapman19/lgbm-quantile-nested-cv", "kernel_id": "10966976"}, {"ref": "jameschapman19/pytorch-tabular-qr", "kernel_id": "10940351"}, {"ref": "jameschapman19/histogram-features", "kernel_id": "10920957"}, {"ref": "jameschapman19/bayesian-nn-pyro-tabular-fixed", "kernel_id": "10711363"}, {"ref": "jameschapman19/dropout-as-bayesian-estimation", "kernel_id": "10781195"}, {"ref": "jameschapman19/pytorch-tabular-qr-histogram", "kernel_id": "10810750"}, {"ref": "akashsuper2000/osic-multiple-quantile-regression-starter-fork", "kernel_id": "10720017"}, {"ref": "trsekhar123/nb-to-extract-metadata-and-resize-images-train", "kernel_id": "10549051"}, {"ref": "ekintiu/osic-pulmonary-fibrosis-eda", "kernel_id": "10655655"}, {"ref": "ekintiu/osic-pulmonary-fibrosis-baseline-regression", "kernel_id": "10675429"}, {"ref": "jagdmir/insightful-eda-on-meta-data-dicom-files", "kernel_id": "10807162"}, {"ref": "mahmudds/osic-pulmonary-fibrosis-progression", "kernel_id": "10616727"}, {"ref": "rakshitrk/starter-notebook-exploration-visualization", "kernel_id": "10912188"}, {"ref": "renjithrrkj/osic-eda", "kernel_id": "10835710"}, {"ref": "lokkagle/osic-pulmonary-fibrosis-progression-analysis", "kernel_id": "10570654"}, {"ref": "sunpnwt12/osic-eda-3d-plot-with-plotly", "kernel_id": "10549295"}, {"ref": "dipampaul17/osic-420", "kernel_id": "10640281"}, {"ref": "shambubm/osic-eda-and-ard-regressor-baseline", "kernel_id": "10645245"}, {"ref": "shambubm/osic-eda", "kernel_id": "10585943"}, {"ref": "gunesevitan/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10550678"}, {"ref": "gunesevitan/osic-pulmonary-fibrosis-progression-3-cv-3-model", "kernel_id": "10737205"}, {"ref": "leoisleo1/osic-multiple-quantile-regression-starter-fork", "kernel_id": "10641587"}, {"ref": "ddbrao11/osic-pulmonary-fibrosis-progression-prediction", "kernel_id": "10596444"}, {"ref": "arachauhan/pydicom-files-useful-resources", "kernel_id": "10547585"}, {"ref": "arachauhan/complete-eda-osic-pulmonary-fibrosis-progression", "kernel_id": "10545292"}, {"ref": "sovitrath/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10706651"}, {"ref": "anirbansen3027/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10615616"}, {"ref": "user123454321/sample-submission", "kernel_id": "10543827"}, {"ref": "sambhavsg/tabular-and-3d-data-training", "kernel_id": "10866331"}, {"ref": "danpresil1/dicom-basic-preprocessing-and-visualization", "kernel_id": "10550800"}, {"ref": "raghavkag/pf-progression-challenge-data-analysis", "kernel_id": "10581217"}, {"ref": "tkrsh09/domain-research-basic-eda-dicom-visualization", "kernel_id": "10859842"}, {"ref": "tkrsh09/osic-dicom-metafeature-engineering-with-fast-ai-v2", "kernel_id": "10874665"}, {"ref": "redwankarimsony/pulmonary-fibrosis-for-non-med-people", "kernel_id": "10548652"}, {"ref": "redwankarimsony/pulmonary-fibrosis-progression-eda-lung-segment", "kernel_id": "10556569"}, {"ref": "aniketdhole07/pulmonory-disease-prediction", "kernel_id": "10910952"}, {"ref": "venkat555/osic-save-2d-slices-into-jpeg", "kernel_id": "10603796"}, {"ref": "lucca9211/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10957334"}, {"ref": "neelaadityakumar/osic-pulmonary-fibrosis-progression-basic-eda", "kernel_id": "10699505"}, {"ref": "an0utlier/baseline-model-using-nn-without-ct-scan-data", "kernel_id": "10986572"}, {"ref": "yohannwattiez/simple-mlp-training", "kernel_id": "10747801"}, {"ref": "hod101s/osic-pulmonary-fibrosis-progression-complete-eda", "kernel_id": "10544112"}, {"ref": "shubham9455999082/dicom-images-detailed-analysis", "kernel_id": "10568821"}, {"ref": "shubham9455999082/read-dicom-images-plotting-and-analysis", "kernel_id": "10577160"}, {"ref": "yanastamenova/osic-eda-3-d-plot", "kernel_id": "10994518"}, {"ref": "heyytanay/interactive-eda-starter-lung-ct-scan-animation", "kernel_id": "10551222"}, {"ref": "souro12/osic-k-fold", "kernel_id": "10629273"}, {"ref": "piantic/osic-pulmonary-fibrosis-progression-basic-eda", "kernel_id": "10543618"}, {"ref": "archimedus/osic-competition", "kernel_id": "10929012"}, {"ref": "mithunp/fvc-progression", "kernel_id": "10679205"}, {"ref": "alamjane61/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10559076"}, {"ref": "andradaolteanu/pulmonary-fibrosis-competition-eda-dicom-prep", "kernel_id": "10799500"}, {"ref": "awsaf49/what-is-pulmonary-fibrosis", "kernel_id": "10560323"}, {"ref": "arpcode/osic-pulmonary-fibrosis-progression", "kernel_id": "10641701"}, {"ref": "gokulnath31/understanding-data", "kernel_id": "10717208"}, {"ref": "twinkle0705/your-starter-notebook-for-osic", "kernel_id": "10550809"}, {"ref": "vinothsuku/osic-pulmonary-fibrosis-simple-eda", "kernel_id": "10549789"}, {"ref": "aviralpamecha/osic-in-depth-and-advanced-analysis", "kernel_id": "10545103"}, {"ref": "ashkhagan/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10742442"}, {"ref": "havinath/eda-observations-visualizations-pytorch", "kernel_id": "10931195"}, {"ref": "satnam007/osic-0001-up-vote-if-useful", "kernel_id": "10588063"}, {"ref": "satnam007/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10589723"}, {"ref": "satnam007/osic-0002", "kernel_id": "10592058"}, {"ref": "satnam007/osic-bayesian-ridge-regression-1", "kernel_id": "10617537"}, {"ref": "satnam007/osic-003", "kernel_id": "10627728"}, {"ref": "satnam007/pulmonary-fibrosis-progression-interactive-eda", "kernel_id": "10576450"}, {"ref": "satnam007/osic-m-fine-tune", "kernel_id": "10831774"}, {"ref": "satnam007/osic-intended", "kernel_id": "10764302"}, {"ref": "adityachandrasekhar/pulmonary-fibrosis-progression", "kernel_id": "10839202"}, {"ref": "olivermadsen/importing-scan-images-into-r", "kernel_id": "10879313"}, {"ref": "srtpan/osic-eda-and-preliminary-examination", "kernel_id": "10738334"}, {"ref": "syedmubarak/data-visualizations-eda", "kernel_id": "10931512"}, {"ref": "nathanm11/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10708143"}, {"ref": "niksapraljak/osic-using-rapids-ai", "kernel_id": "10871902"}, {"ref": "dktalaicha/pulmonary-fibrosis-eda", "kernel_id": "10613895"}, {"ref": "ashutosh619sudo/clean-eda-visualization-for-osic-fibrosis", "kernel_id": "10701213"}, {"ref": "nxrprime/fibrosis-eda-fast-ai", "kernel_id": "10549320"}, {"ref": "aadhavvignesh/animations-dicom-eda-osic-starter-notebook", "kernel_id": "10544607"}, {"ref": "aadhavvignesh/lb-6-847-osic-keras-starter-optimized-nn", "kernel_id": "10660234"}, {"ref": "aadhavvignesh/lung-segmentation-by-marker-controlled-watershed", "kernel_id": "10818175"}, {"ref": "zainahmad/osic-pulmonary-fibrosis-the-eval-metric-and-eda", "kernel_id": "10772622"}, {"ref": "zainahmad/preprocessing-the-dicom-data", "kernel_id": "10686258"}, {"ref": "arunadeviramesh/osic-pulmonary-fibrosis-progression", "kernel_id": "10551054"}, {"ref": "vivekpisal/kernel70b61d892a", "kernel_id": "10980896"}, {"ref": "peiyingchin/osic-pulmonary-fibrosis-progression", "kernel_id": "10816541"}, {"ref": "otonyeamietubodie/lung-predictions-eda", "kernel_id": "10548218"}, {"ref": "pontusbrink/osic-nn", "kernel_id": "10969269"}, {"ref": "makhloufsabir/osic-pulmonary-fibrosis-progression-predict", "kernel_id": "10732270"}, {"ref": "tarit21/osic-pulmonary-fibrosis-progression", "kernel_id": "10574617"}, {"ref": "jagadish13/osic-baseline-elasticnet-eda", "kernel_id": "10639206"}, {"ref": "jagadish13/osic-multiple-quantile-regression-eda", "kernel_id": "10842704"}, {"ref": "rpsantosakaggle/notebook", "kernel_id": "10855088"}, {"ref": "mohitkaushik12/eda-and-model", "kernel_id": "10558551"}, {"ref": "mohammaddilshad/kernel7a6df4d822", "kernel_id": "10582654"}, {"ref": "laofei/explore-dicom-image", "kernel_id": "10754504"}, {"ref": "gunanandkumar/kernel337740bb3e", "kernel_id": "10592349"}, {"ref": "gunanandkumar/kernel3d143a5979", "kernel_id": "10882688"}, {"ref": "maksimbahdanchyk/fibrosis-eda-draft", "kernel_id": "10577768"}, {"ref": "tomonorisasaki/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "10655196"}, {"ref": "syphax93/eda-osic-pulmonary-fibrosis-progression", "kernel_id": "10592700"}, {"ref": "rschanv5/baseline", "kernel_id": "10813499"}, {"ref": "ken1kag/osic-fibrosis-note", "kernel_id": "10661249"}, {"ref": "koheist/osic-eda-simplemodel-overview-with", "kernel_id": "10642734"}, {"ref": "anuragkushwah/pulmonary-fibrosis-in-depth-eda-visualisation", "kernel_id": "10551178"}, {"ref": "mvnewlife/mnl-osic-pfp-mqr-2", "kernel_id": "10846730"}, {"ref": "jumpingmandt/osic-pulmonary-fibrosis-progression-study", "kernel_id": "10813830"}, {"ref": "kushagrawadhwa/model-1-1", "kernel_id": "10593066"}, {"ref": "kushagrawadhwa/eda-1-1c", "kernel_id": "10581552"}, {"ref": "kushagrawadhwa/eda-1-0", "kernel_id": "10581091"}, {"ref": "zhengyuandonshen/kernelfacb0742df", "kernel_id": "10961532"}, {"ref": "zhengyuandonshen/osic-pulmonary-fibrosis-progress-exploratory", "kernel_id": "10545249"}, {"ref": "zhengyuandonshen/osic-basic-eda", "kernel_id": "10545061"}, {"ref": "erik7777/the-loss-function", "kernel_id": "10563241"}, {"ref": "lightleobiaggi/submission-test", "kernel_id": "10992752"}, {"ref": "saitamaisbest/osic-pulmonary-fibrosis-progression", "kernel_id": "10792655"}, {"ref": "cpmpml/pulmonary-fibrosis-competition-eda-dicom-prep", "kernel_id": "11050170"}, {"ref": "gilfernandes/lightgbm-statsmodels-keras-ensemble", "kernel_id": "11886046"}, {"ref": "gilfernandes/lightgbm-simple-with-statsmodels", "kernel_id": "11822238"}, {"ref": "gilfernandes/lightgbm-simple", "kernel_id": "11772384"}, {"ref": "rishabhds/analysis", "kernel_id": "11310530"}, {"ref": "ma7moud/ultimate-tf-training-pipeline", "kernel_id": "11310796"}, {"ref": "ajenningsfrankston/osic-lung-image-processing", "kernel_id": "11061822"}, {"ref": "avloss/3d-animation-rotating", "kernel_id": "11567824"}, {"ref": "goelpravin/concatconv2-5andtabular", "kernel_id": "11838514"}, {"ref": "srikanthpotukuchi/understanding-dcm-files-using-pydicom", "kernel_id": "11204396"}, {"ref": "srikanthpotukuchi/linear-regression-model-with-submission", "kernel_id": "11171848"}, {"ref": "srikanthpotukuchi/osic-random-forest-new-height-extracted", "kernel_id": "11278499"}, {"ref": "srikanthpotukuchi/neural-network-model-submission-score", "kernel_id": "11278302"}, {"ref": "srikanthpotukuchi/osic-laplace-log-function", "kernel_id": "11295858"}, {"ref": "aanchal204/6-82-quantile-reg-lr-schedulers-checkpoints", "kernel_id": "11447100"}, {"ref": "aanchal204/osic-super-cool-eda-and-pytorch-baseline", "kernel_id": "11447101"}, {"ref": "indhira/notebookb50abd64bd", "kernel_id": "11261720"}, {"ref": "gautham11/lung-segmentation-methods-comparison", "kernel_id": "11437605"}, {"ref": "gautham11/generating-scan-and-segemented-scan-jpg-fastai", "kernel_id": "11486807"}, {"ref": "gautham11/quantile-regression-pytorch-lightning-inference", "kernel_id": "11803828"}, {"ref": "allunia/pulmonary-dicom-preprocessing", "kernel_id": "11301778"}, {"ref": "lao777/baseline", "kernel_id": "11005687"}, {"ref": "bjoernholzhauer/ransac-with-natural-augmentation", "kernel_id": "11960436"}, {"ref": "kanesoban/osic-pulmonary-fibrosys-rnn-3dcnn", "kernel_id": "11943119"}, {"ref": "jjinho/simple-gradientboostregression-with-quantile-loss", "kernel_id": "11313466"}, {"ref": "babatee/exploring-lungish", "kernel_id": "11132579"}, {"ref": "code1110/osic-bayesianridge-return-std-true", "kernel_id": "11555427"}, {"ref": "nehabansal/pulmonary-fibrosis-beginner-notebook", "kernel_id": "11000605"}, {"ref": "kamaljain77/osic-pulmonary-fibrosis-progression-v1", "kernel_id": "11862036"}, {"ref": "writetoneeraj/fundamentals-of-medical-image-processing", "kernel_id": "11511171"}, {"ref": "prateek3g/change-in-dropout-and-mloss-values", "kernel_id": "11512132"}, {"ref": "prem134/osic-multiple-quantile-regression-deep-learning", "kernel_id": "11111286"}, {"ref": "jameswgoddard/digit-recognition-algorithm-comparison", "kernel_id": "11573039"}, {"ref": "lhagiimn/osic-variatonal-auto-encoder-training", "kernel_id": "11644925"}, {"ref": "lhagiimn/first-submission", "kernel_id": "11602600"}, {"ref": "lhagiimn/embedding-layers-pytorch-implementation", "kernel_id": "11762400"}, {"ref": "alexis779/initial-eda", "kernel_id": "11291419"}, {"ref": "puremath86/naive-baseline-lb-7-1", "kernel_id": "11529708"}, {"ref": "shams1/osic-pulmonary-fibrosis-basic-eda-dicom-full", "kernel_id": "11329839"}, {"ref": "deepshekhar/what-is-laplace-log-distribution", "kernel_id": "11111525"}, {"ref": "carlossouza/bayesian-experiments", "kernel_id": "11392456"}, {"ref": "carlossouza/probabilistic-machine-learning-a-diff-approach", "kernel_id": "11188797"}, {"ref": "carlossouza/pre-processing-and-feature-engineering", "kernel_id": "11278671"}, {"ref": "htopper/omqr-refactored-mean-slope", "kernel_id": "11765837"}, {"ref": "currypurin/osic-lb-probing-number-of-patients-in-test-data", "kernel_id": "11746714"}, {"ref": "furcifer/q-regression-with-ct-tabular-features-pytorch", "kernel_id": "11541980"}, {"ref": "msafi04/osic-pulmonaryfibrosis-baseline", "kernel_id": "11344972"}, {"ref": "viveksahukar/first-model-test", "kernel_id": "11760419"}, {"ref": "orkatz2/infer-3d-fibrosis-segmentation", "kernel_id": "11449402"}, {"ref": "orkatz2/fibrosis-lung-segmentation-with-model-weights", "kernel_id": "11916928"}, {"ref": "shiqbal/efficientnets-quantile-regression-inference", "kernel_id": "11306000"}, {"ref": "vik228/osic-pulmonary-fibrosis-progression-data-analysis", "kernel_id": "11546838"}, {"ref": "kvsnoufal/submissiontemplate", "kernel_id": "11722592"}, {"ref": "zhangyue199/lgb-quantile-regressor-starter", "kernel_id": "11909990"}, {"ref": "donkeys/3d-convnet-with-3d-augmentations", "kernel_id": "11108915"}, {"ref": "donkeys/keras-mlp-with-extended-training-data", "kernel_id": "11093385"}, {"ref": "miklgr500/autoecoder-v2-lens", "kernel_id": "11450380"}, {"ref": "kitangladmatu/ct-image-preprocessing-osic", "kernel_id": "11647196"}, {"ref": "kitangladmatu/osic-pulmonary-fibrosis-tf-probability", "kernel_id": "11046079"}, {"ref": "shangweichen/pytorch-osic-multiple-quantile-regression-starter", "kernel_id": "11586161"}, {"ref": "sarthak97/osic-data-preprocessing-preparation", "kernel_id": "11001881"}, {"ref": "likith012/osic-quick-eda-3d-plot-with-plotly", "kernel_id": "11982202"}, {"ref": "khyeh0719/lung-volume-calculus-with-trapezoidal-rule", "kernel_id": "11648972"}, {"ref": "rftexas/osic-eda-leak-free-kfold-cv-lgb-baseline", "kernel_id": "11209732"}, {"ref": "abhishekkarigar/2d-and-3d-plotting-tutorial-in-python", "kernel_id": "11542846"}, {"ref": "reyvaz/osic-linear-decay-and-quant-reg-inference", "kernel_id": "11908183"}, {"ref": "fatanema/ct-scan-analysis", "kernel_id": "11679697"}, {"ref": "rajnishe/rc-osic-dcm-to-tif-n-jpg-conversion", "kernel_id": "11335012"}, {"ref": "atrisaxena/osic-efficientnet-regression-pytorch", "kernel_id": "11398434"}, {"ref": "atrisaxena/quantile-regression-pytorch-tabular-data-only", "kernel_id": "11322640"}, {"ref": "jsaguiar/fvc-curve-for-each-patient-and-outliers", "kernel_id": "11327477"}, {"ref": "xinyan989/osicutil", "kernel_id": "11074688"}, {"ref": "gunawanmarbun/osic-pulmonary-interactive-eda-with-bbox", "kernel_id": "11442415"}, {"ref": "gunawanmarbun/osic-pulmonary-modelling", "kernel_id": "11703657"}, {"ref": "koza4ukdmitrij/splitted-loss", "kernel_id": "11553070"}, {"ref": "koza4ukdmitrij/how-to-choose-the-best-solution", "kernel_id": "11746115"}, {"ref": "aniketmaurya/linear-decay-keras", "kernel_id": "11424029"}, {"ref": "starkteja/osic-pulmonary-fibrosis-prediction", "kernel_id": "11638075"}, {"ref": "wangyoucao1234/quantie-image-features", "kernel_id": "11376968"}, {"ref": "khoongweihao/k-fold-tf-efficientnet-models-training", "kernel_id": "11299044"}, {"ref": "khoongweihao/efficientnets-quantile-regression-inference", "kernel_id": "11085176"}, {"ref": "henry090/eda-r-lungs", "kernel_id": "11061846"}, {"ref": "qitvision/png-training-set", "kernel_id": "11672633"}, {"ref": "abiolatti/train-baseline", "kernel_id": "11186088"}, {"ref": "abiolatti/simple-images-features", "kernel_id": "11066993"}, {"ref": "dannyk2018/simple-linear-model", "kernel_id": "11229671"}, {"ref": "dazevedo/eda-data-features-and-ct-scans", "kernel_id": "11084398"}, {"ref": "vbmokin/higher-lb-score-by-tuning-mloss-upgrade-visual", "kernel_id": "11562705"}, {"ref": "kittlein/fibrosis-in-r", "kernel_id": "11436516"}, {"ref": "ozoozo/osic-simple-eda-and-basic-lightgbm", "kernel_id": "11108552"}, {"ref": "zungmann/osic-feature-extract-from-ct-refactored", "kernel_id": "11815534"}, {"ref": "jonykarki/pytorch-qr", "kernel_id": "11229532"}, {"ref": "jonykarki/inference-pytorch-qr-9ss4", "kernel_id": "11326103"}, {"ref": "jonykarki/begineers-pytorch-qntl-reg-cv", "kernel_id": "11275499"}, {"ref": "jonykarki/simplified-eda-matplotlib-only", "kernel_id": "11467238"}, {"ref": "servietsky/osic-pulmonary-fibrosis-progression-deep-eda", "kernel_id": "11083789"}, {"ref": "servietsky/ct-scans-to-dataframe", "kernel_id": "11305183"}, {"ref": "servietsky/merge-dicom-csv-and-ct-scans", "kernel_id": "11374538"}, {"ref": "beamers/pulmonary-my-version", "kernel_id": "11333667"}, {"ref": "ghaiyur/efficientnets-quantile-regression-inference", "kernel_id": "11279628"}, {"ref": "jameschapman19/vae-pytorch", "kernel_id": "11109084"}, {"ref": "surendra483492/sss-osic-final", "kernel_id": "11916669"}, {"ref": "milan400/pulmonary-inference", "kernel_id": "11343010"}, {"ref": "rizwanabuahmad/bit-general-eda", "kernel_id": "11585038"}, {"ref": "shivenkhajuria/osic-pulmonary-fibrosis-progression-shiv", "kernel_id": "11347350"}, {"ref": "akashsuper2000/efficientnets-quantile-regression", "kernel_id": "11427481"}, {"ref": "akashsuper2000/efficientnets-quantile-regression-inference", "kernel_id": "11174092"}, {"ref": "akashsuper2000/osic-ensemble-modeling-learning", "kernel_id": "11999237"}, {"ref": "akashsuper2000/higher-lb-score-by-tuning-mloss-upgrade-visual", "kernel_id": "11999248"}, {"ref": "jaideepvalani/updated-pytorch-osic-starter-6-88-6-91", "kernel_id": "11078153"}, {"ref": "tz63467/osic-pulmonary-fibrosiseda", "kernel_id": "11934460"}, {"ref": "tz63467/osic-pulmonary-fibrosis-progression-efficientnet", "kernel_id": "11241533"}, {"ref": "kunduruanil/getstarted-kernal-eda", "kernel_id": "11237296"}, {"ref": "gopidurgaprasad/osic-ngboost", "kernel_id": "11345717"}, {"ref": "gopidurgaprasad/osic-tabnet", "kernel_id": "11343859"}, {"ref": "ladanova/segmentation-of-lungs", "kernel_id": "11324046"}, {"ref": "ladanova/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "11261126"}, {"ref": "ladanova/zero-week", "kernel_id": "11618767"}, {"ref": "rohandeysarkar/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "11765546"}, {"ref": "singhakash/osic-eda-and-preliminary-examination", "kernel_id": "11130604"}, {"ref": "foodaholic/basic-eda-tabular-metadata-1-3", "kernel_id": "11259823"}, {"ref": "ajay19/training-effnet-and-densenet-with-augmentations", "kernel_id": "11281090"}, {"ref": "veronicaloy/dual-input-nn-image-csv", "kernel_id": "11967789"}, {"ref": "saichandrareddy/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "11347004"}, {"ref": "noelmat/training-efficientnet-with-pytorch", "kernel_id": "11396304"}, {"ref": "noelmat/pytorch-efficientnet-with-better-dataloaders", "kernel_id": "11731386"}, {"ref": "paritoshkr30/osic-pulmonary-fibrosis-progression", "kernel_id": "11382918"}, {"ref": "mattbast/feature-engineering-with-a-linear-model", "kernel_id": "11371174"}, {"ref": "dipampaul17/tweak-engineer", "kernel_id": "11405308"}, {"ref": "abhishekgbhat/quantreg-linear-decay-efficientnet-b1-su", "kernel_id": "11827156"}, {"ref": "fireheart7/osic-pulmonary-fibrosis-eda", "kernel_id": "11204347"}, {"ref": "eladwar/20-seconds-or-less", "kernel_id": "11186821"}, {"ref": "eladwar/conditional-rnn", "kernel_id": "11645395"}, {"ref": "rayanaay/osic-variable-s-adding-kmeans-dbscan", "kernel_id": "11089591"}, {"ref": "balogi85/pulmanolog-test", "kernel_id": "11532209"}, {"ref": "leoisleo1/efficientnets-quantile-regression-inference", "kernel_id": "11161627"}, {"ref": "azaemon/eda-preprocessing-agmentation-for-beginners", "kernel_id": "11226940"}, {"ref": "deeprajbasu/pulmonary-fibrosis-eda-and-rendering-ct-scan-video", "kernel_id": "11852071"}, {"ref": "crissallan/pytorch-efficientnet-feature-extraction", "kernel_id": "11989789"}, {"ref": "ranjitkathiriya/kernel1c313f2f38", "kernel_id": "11150500"}, {"ref": "sovitrath/simple-linear-neural-network-regression", "kernel_id": "11158261"}, {"ref": "sovitrath/simple-linear-neural-network-using-pytorch", "kernel_id": "11163166"}, {"ref": "sambhavsg/3d-osic-inference", "kernel_id": "11705740"}, {"ref": "sumitai/eda-osic-pulmonary-fibrosis-progression", "kernel_id": "11752480"}, {"ref": "sahabudin9/osic-eda-analysis", "kernel_id": "11062982"}, {"ref": "taboutmhamed/kernel4ce398925a", "kernel_id": "11168889"}, {"ref": "maunish/osic-super-cool-eda-and-pytorch-baseline", "kernel_id": "11344744"}, {"ref": "melvin97n/base-8", "kernel_id": "11806113"}, {"ref": "melvin97n/base-7", "kernel_id": "11635226"}, {"ref": "melvin97n/a-dummies-guide-to-pulmonary-fibrosis-challenge", "kernel_id": "11186013"}, {"ref": "tskelton12/osic-pf-randomforest", "kernel_id": "11295047"}, {"ref": "redwankarimsony/rsna-str-pe-gradient-sigmoid-windowing", "kernel_id": "11669187"}, {"ref": "santhoshgoku/a-statistical-analysis-new-approach", "kernel_id": "11319123"}, {"ref": "anveshvankayala/osic-detailed-exploratory-data-analysis", "kernel_id": "11150308"}, {"ref": "chaseeby100/basic-pulmonary-fibrosis-competition-eda", "kernel_id": "11264665"}, {"ref": "arturkiulian/coronawhy-org-team-join-team-38-slack-members", "kernel_id": "11263545"}, {"ref": "pradyut23/pulmonary-fibrosis-eda", "kernel_id": "11684615"}, {"ref": "igokaskowitz/osic-p-fibrosis-beginning-eda", "kernel_id": "11725490"}, {"ref": "varunyadav17/osic-starter", "kernel_id": "11034886"}, {"ref": "sawans/osic-pytorch-baseline", "kernel_id": "11591119"}, {"ref": "sawans/basic-eda-for-osic", "kernel_id": "11490001"}, {"ref": "sawans/basic-linear-regression-on-tabular-data", "kernel_id": "11703889"}, {"ref": "eiann1509/osic-pulmonary-fibrosis-analysis", "kernel_id": "11501044"}, {"ref": "vineeth1999/osic-multiple-quantile-regression-with-lstm", "kernel_id": "11416826"}, {"ref": "vineeth1999/multiple-quantile-regression-with-2-lstm", "kernel_id": "11418586"}, {"ref": "vineeth1999/osic-pulmonary-fibrosis-progression-basic-eda", "kernel_id": "11465156"}, {"ref": "kasayu/test-commit-by-efficientnets-quantile-regression", "kernel_id": "11684369"}, {"ref": "rininobaron/osic-keras-starter-with-custom-metrics", "kernel_id": "11472372"}, {"ref": "rininobaron/prueba", "kernel_id": "11472253"}, {"ref": "rininobaron/osic-heuristic-approach", "kernel_id": "11755115"}, {"ref": "yohannwattiez/3d-cnn-mlp", "kernel_id": "11293383"}, {"ref": "yohannwattiez/data-preparation-for-osic", "kernel_id": "11285775"}, {"ref": "yohannwattiez/load-trained-model-and-predict", "kernel_id": "11407011"}, {"ref": "saurah403/osic-data-preprocessing-for-cnn-ml-starter", "kernel_id": "11027049"}, {"ref": "smerllo/lung-mask-using-u-net-r231", "kernel_id": "11504849"}, {"ref": "thecansin/ds4-osic-pulmonary-fibrosis-progression", "kernel_id": "11238386"}, {"ref": "quandapro/osic-inference", "kernel_id": "11952098"}, {"ref": "leenatjyotishi/osic-pulmonary-fibrosis-progression-lj", "kernel_id": "11362741"}, {"ref": "yanastamenova/fork-of-osic-eda-3-d-plot", "kernel_id": "11280838"}, {"ref": "konumaru/effcientnet-table-quantileregression", "kernel_id": "11467421"}, {"ref": "konumaru/simple-baseline-of-lightgbm-reg", "kernel_id": "11285664"}, {"ref": "reighns/higher-lb-score-by-tuning-mloss-around-6-811", "kernel_id": "11556734"}, {"ref": "yousesefkamil/generate-latent-features", "kernel_id": "11459958"}, {"ref": "salmaneunus/osic-pulmonary-fibrosis-eda", "kernel_id": "11352275"}, {"ref": "salmaneunus/fibrosis-osic-submission-21", "kernel_id": "11597032"}, {"ref": "brodzik/osic-pytorch-quantile-regression", "kernel_id": "11215266"}, {"ref": "darkcube/how-should-we-normalising-the-ct-scans", "kernel_id": "11433092"}, {"ref": "greatgamedota/osic-inference2", "kernel_id": "11814144"}, {"ref": "aakashveera/osic-eda-quantile-regression", "kernel_id": "11874222"}, {"ref": "xiejialun/lung-ct-scan-segmentation-model", "kernel_id": "11663429"}, {"ref": "taruntiwarihp/osic-pulmonary-fibrosis-progression-advance-eda", "kernel_id": "11150715"}, {"ref": "ajaykumar7778/3d-resnet-with-3d-augmentations", "kernel_id": "11450143"}, {"ref": "ajaykumar7778/create-3d-training-data", "kernel_id": "11676726"}, {"ref": "akki213/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "11861030"}, {"ref": "vstarygin/eda-simple-keras-model-resnet-tabular-data", "kernel_id": "11233994"}, {"ref": "zefirchik/fibroze-sub", "kernel_id": "11339039"}, {"ref": "zefirchik/fork-of-test-da-nu-na-57e426", "kernel_id": "11828556"}, {"ref": "raviet/osic-final-easy-nn-using-image-and-tabular-data", "kernel_id": "11437397"}, {"ref": "nike0good/notebook610db9ae3c", "kernel_id": "11246469"}, {"ref": "nike0good/osic-fianl-project", "kernel_id": "11247514"}, {"ref": "havinath/dark-images-with-fix", "kernel_id": "11103832"}, {"ref": "nooblearning/soln-that-was-rank-14-but-didn-t-select-ver-37", "kernel_id": "11478105"}, {"ref": "nooblearning/submission-4", "kernel_id": "11404109"}, {"ref": "zhangxianjue/trainefn", "kernel_id": "11817482"}, {"ref": "binman159/osic-lung", "kernel_id": "11629540"}, {"ref": "tenten88/osic-no-ct-nn-with-custom-loss", "kernel_id": "11419675"}, {"ref": "arunkumarpyramid/pulmonary-fibrosis-eda-cv-dicom-image-processing", "kernel_id": "11241502"}, {"ref": "wrrosa/advanced-dicom-ct-3d-visualizations-with-vtk", "kernel_id": "11852731"}, {"ref": "wrrosa/osic-full-dicom-ct-metadata-documentation-eda", "kernel_id": "11414880"}, {"ref": "sidharkal/osic-pulmonary-fibrosis-progression-using-ml", "kernel_id": "11067263"}, {"ref": "jinsungguri/basic-eda-osic-practice", "kernel_id": "11359452"}, {"ref": "elvinagammed/simple-eda-linearity-model-top90", "kernel_id": "11578579"}, {"ref": "elvinagammed/download-csv-file-from-kernel-as-link-kaggle", "kernel_id": "11445859"}, {"ref": "elvinagammed/higher-lb-score-by-tuning-mloss-upgrade-visual", "kernel_id": "11812767"}, {"ref": "katsuyanomura/get-dicom-info-train", "kernel_id": "11409229"}, {"ref": "samuellongenbach/dicom-metadata-dataframe", "kernel_id": "11079935"}, {"ref": "hfutybx/pytorch-osic-multiple-quantile-regression", "kernel_id": "11015405"}, {"ref": "hfutybx/osic-feature-extract-from-ct", "kernel_id": "11252509"}, {"ref": "hfutybx/unet-densenet121-lung-of-segmentation", "kernel_id": "11737255"}, {"ref": "simo333/pulmonary-fibrosis-img-data-2-0", "kernel_id": "11457867"}, {"ref": "simo333/pulmonaryfibrosis-dicom-proc", "kernel_id": "11009724"}, {"ref": "doctorkael/osic-incrementally-improved-models", "kernel_id": "11237323"}, {"ref": "chihantsai/fork-of-image-1-model-b4-v6-inference", "kernel_id": "11879149"}, {"ref": "chihantsai/image-1-model-b4-inference-timeout", "kernel_id": "11859481"}, {"ref": "lgreig/osic-starter-in-r-glmnet", "kernel_id": "11023763"}, {"ref": "dktalaicha/pulmonary-fibrosis-eda-model", "kernel_id": "11986227"}, {"ref": "tikoboss/osic-pulmonary-fibrosis-progression-tko-okt", "kernel_id": "11729965"}, {"ref": "alexandersoare/pf-super-simple-eda-for-2-minute-attention-spans", "kernel_id": "11099724"}, {"ref": "agsam23/osic-pulmonary-fibrosis-eda", "kernel_id": "11250955"}, {"ref": "alifrahman/higher-lb-score-by-tuning-mloss-upgrade-1696e2", "kernel_id": "11964088"}, {"ref": "alifrahman/osic-pulmuonary-fibrosis-progression-upgraded", "kernel_id": "11896128"}, {"ref": "alifrahman/osic-pulmonary-fibrosis-progression-submission", "kernel_id": "11866198"}, {"ref": "jenishpatel/fibrosis-kaggle", "kernel_id": "11080485"}, {"ref": "nxrprime/osic-augmentations-tutorial-w-albumentations", "kernel_id": "11288038"}, {"ref": "anarthal/dicom-metadata-eda", "kernel_id": "11178671"}, {"ref": "anarthal/dicom-metadata-extracting-attributes-to-dataframe", "kernel_id": "11208709"}, {"ref": "tuckerarrants/fast-ai-dicom-eda", "kernel_id": "11197154"}, {"ref": "sunxiaen/816osic-tabular-data-only-sxe", "kernel_id": "11216545"}, {"ref": "mdiqbalhossainjoy/submission-2", "kernel_id": "11600552"}, {"ref": "pp86ar/some-cheap-data-exploration", "kernel_id": "11537499"}, {"ref": "walia20/osic-tuning", "kernel_id": "11906796"}, {"ref": "alexj21/osic-lstm-interpolation", "kernel_id": "11433033"}, {"ref": "alexj21/osic-lstm-basic-training", "kernel_id": "11364444"}, {"ref": "awwaldiekaramapepple/efficientnets-inference-copied", "kernel_id": "11611648"}, {"ref": "sanketranjan/osic-pulmonary", "kernel_id": "11678707"}, {"ref": "vadim2011/kernel46ae135042", "kernel_id": "11108107"}, {"ref": "vadim2011/adsf-qwerty3", "kernel_id": "11145022"}, {"ref": "shahkanishk/efficient-nets-on-osic", "kernel_id": "11912659"}, {"ref": "raj713335/notebook03d59db7ed", "kernel_id": "11392538"}, {"ref": "gonzalososa/preproceso-de-data-tabular-0a376f", "kernel_id": "11228898"}, {"ref": "gonzalososa/fork-of-inspeccionando-data", "kernel_id": "11053967"}, {"ref": "digvijayyadav/unet-with-efficientnet", "kernel_id": "11383869"}, {"ref": "digvijayyadav/lung-fibrosis-dicom-image-preprocessing", "kernel_id": "11106657"}, {"ref": "akhileshdkapse/lung-segmentation-2d-3d-techniques-osic", "kernel_id": "11298786"}, {"ref": "akhileshdkapse/quick-starter-giude-eda-ml-genetic-algorithm", "kernel_id": "11306382"}, {"ref": "julianobatistim/test-pulmonary-fibrosis-ann-acc-86", "kernel_id": "11948219"}, {"ref": "julianobatistim/pulmonary-fibrosis-ann-and-cnn-acc-92", "kernel_id": "11947898"}, {"ref": "jagadish13/multiple-quantile-regression-eda-better-params", "kernel_id": "11421284"}, {"ref": "yuvrajmetrani/basic-eda-pulmonary-fibrosis", "kernel_id": "11233277"}, {"ref": "taikiishii/lung-volume", "kernel_id": "11748935"}, {"ref": "gannadolinska/are-all-the-patients-in-the-data-ill", "kernel_id": "11693101"}, {"ref": "nadyastrogankova/notebook7ae96458f7", "kernel_id": "11198552"}, {"ref": "furuhatakazuki/japanese-osic-basic-eda", "kernel_id": "11546146"}, {"ref": "anuragbantu/target-encoding-beginner-s-guide", "kernel_id": "11048707"}, {"ref": "kaustubhchaudhari/osic-dataset-plotter", "kernel_id": "11085096"}, {"ref": "alincijov/osic-cnn-pytorch", "kernel_id": "11795773"}, {"ref": "samklein/three-channel-images-normalised", "kernel_id": "11716751"}, {"ref": "samklein/kfold-osic-efficientnet-slope-tta-confidence-tpu", "kernel_id": "11743137"}, {"ref": "samklein/kfold-osic-efficientnet", "kernel_id": "11491681"}, {"ref": "samklein/probabilistic-fits", "kernel_id": "11603210"}, {"ref": "mikloskralik/exponential-decay-nn-quantile-regression", "kernel_id": "11462103"}, {"ref": "ChristianDenich/quantile-reg-lr-schedulers-checkpoints", "kernel_id": "11169852"}, {"ref": "ChristianDenich/6-82x-tabdata-find-best-hyperparameter-ensemble", "kernel_id": "11445762"}, {"ref": "ChristianDenich/multi-model-ensembling-evaluation", "kernel_id": "11791428"}, {"ref": "rodrigohernndez/torh-osic-ihdapt", "kernel_id": "11100610"}, {"ref": "vaishnaviasonawane/osi-pulmonary-fibrosis-eda", "kernel_id": "11810949"}, {"ref": "christiananne/making-a-dataframe-with-dicom-metadata", "kernel_id": "11559903"}, {"ref": "christiananne/pulmonary-fibrosis-eda-including-metadata", "kernel_id": "11091147"}, {"ref": "sunnesoftsunnesoft/osic-research-paper", "kernel_id": "11421340"}, {"ref": "larsran/pulmonaryfibrosis-environment", "kernel_id": "11345331"}, {"ref": "adinishad/osic-pulmonary-fibrosis", "kernel_id": "11560764"}, {"ref": "yonataneisenstein/lung-functionality-images-baseline-cnn-model", "kernel_id": "11160931"}, {"ref": "ivaiva/osic-visualizations", "kernel_id": "11002538"}, {"ref": "yutakatai/notebook6fde46e43a", "kernel_id": "11529830"}, {"ref": "imoore/2d-and-3d-plotting-tutorial-in-python", "kernel_id": "11324143"}, {"ref": "imoore/osic-ensemble-modeling-learning", "kernel_id": "11954584"}, {"ref": "viacheslavkucherenko/submission-retro", "kernel_id": "11995770"}, {"ref": "neithermannormachine/serious-model-tabular-data", "kernel_id": "11470987"}, {"ref": "arutaniimura/osic-smoothing-2", "kernel_id": "11873599"}, {"ref": "matsuisatsuki/notebook013726187e", "kernel_id": "11454805"}, {"ref": "hirojam/use-of-decompressed-images", "kernel_id": "11610564"}, {"ref": "salmanfaroz/fibrosis-let-s-talk-to-the-data", "kernel_id": "11064505"}, {"ref": "trooperog/my-first-kaggle-project-decoding-the-fibrosis", "kernel_id": "11200547"}, {"ref": "trooperog/lasso-ridge-bay-ridge-cat-huber", "kernel_id": "11914127"}, {"ref": "trooperog/ngboost-regressor-qunatile-regressor-optimized", "kernel_id": "11974239"}, {"ref": "thomasswain/osic-autoencoder-training", "kernel_id": "11904843"}, {"ref": "thomasswain/fibrosis-bayesian", "kernel_id": "11560685"}, {"ref": "thomasswain/bayesian-experiments", "kernel_id": "11552107"}, {"ref": "thomasswain/probabilistic-machine-learning-a-diff-approach", "kernel_id": "11222507"}, {"ref": "thomasswain/fibrosis", "kernel_id": "11062921"}, {"ref": "thomasswain/forked-osic-multiple-quantile-regression", "kernel_id": "11144637"}, {"ref": "danielchoi0127/osic-preprocessing-dicom-and-3d-plot-with-ploty", "kernel_id": "11508993"}, {"ref": "douglaskgaraujo/bayesian-log-linear-model", "kernel_id": "11648934"}, {"ref": "snowpea8/osic-eda-efficientnet-quantile-reg", "kernel_id": "11564877"}, {"ref": "maryamansari54/notebook63401fb6f5", "kernel_id": "11437402"}, {"ref": "maryamansari54/training-model", "kernel_id": "11977928"}, {"ref": "twinklesebastian/osic-tabular-version2", "kernel_id": "11429401"}, {"ref": "abdullahtahireme/quantile-regression-pytorch", "kernel_id": "11972422"}, {"ref": "jiuyunzhang/3d-processing", "kernel_id": "11758745"}, {"ref": "elfreedasunny/notebook48fabf8910", "kernel_id": "11948427"}, {"ref": "penchalaiah123/ct-image-processing-and-preprocessing", "kernel_id": "11787651"}, {"ref": "penchalaiah123/preprocessing", "kernel_id": "11596062"}, {"ref": "ainysharma/pulmonary-fibrosis-dicom-preprocessing", "kernel_id": "11561324"}, {"ref": "elyzahraa/pulmonary-fibrosis-with-dicom", "kernel_id": "11883922"}, {"ref": "ruofanhe/copy-of-upgrade-1696e2-no-modify", "kernel_id": "11939100"}, {"ref": "ayauee/osic-feature-extract-from-ct", "kernel_id": "11768789"}, {"ref": "ethercoin/osic-multiple-quantile-regression-starter", "kernel_id": "11921357"}, {"ref": "gilfernandes/pytorch-resnet-slope-prediction-2", "kernel_id": "12091189"}, {"ref": "thierryme/osic-pulmonary-fibrosis-progression-with-splines", "kernel_id": "12089118"}, {"ref": "manojprabhaakr/quantile-regression-bayesian-ridge-ridge", "kernel_id": "12025842"}, {"ref": "anjum48/fully-connected-custom-loss-private-6-8383", "kernel_id": "12144992"}, {"ref": "gautham11/quantile-regression-pytorch-lightning-training", "kernel_id": "12152703"}, {"ref": "gautham11/lung-volume-lung-height-hu-values-image-features", "kernel_id": "12097044"}, {"ref": "bjoernholzhauer/bayes-decision-theory-using-pystan", "kernel_id": "12016776"}, {"ref": "code1110/osic-cv-tab-cnn-ensemble-ocne-nop-lasts", "kernel_id": "12088953"}, {"ref": "kamaljain77/trainefn", "kernel_id": "12066656"}, {"ref": "kamaljain77/trainefn-b7", "kernel_id": "12071771"}, {"ref": "chadansharma/enetsb4ns-qr-inference-wf2-v0-1", "kernel_id": "12095703"}, {"ref": "lhagiimn/solution-for-the-first-place-but-we-didn-t-select", "kernel_id": "12140748"}, {"ref": "dcasbol/osic-my-best-solution-6-8348", "kernel_id": "12146380"}, {"ref": "mikkojkvaak/inference-notebook-qr-final", "kernel_id": "12107224"}, {"ref": "fflorio/osic-starter-in-r-preprocessing-with-recipes", "kernel_id": "12065384"}, {"ref": "xinyan989/osic-my-model", "kernel_id": "12119755"}, {"ref": "gunawanmarbun/osic-pulmonary-finetune", "kernel_id": "12070275"}, {"ref": "vivektalwar13071999/quant-model-latent-features", "kernel_id": "12732060"}, {"ref": "vivektalwar13071999/osic-quick-eda-3d-plot-with-plotly", "kernel_id": "12003024"}, {"ref": "vivektalwar13071999/3d-cnn-mlp", "kernel_id": "12038539"}, {"ref": "vivektalwar13071999/quant-model-latent-features-130166", "kernel_id": "12906580"}, {"ref": "akashsuper2000/osic-ensemble-modelling-2", "kernel_id": "12123049"}, {"ref": "akashsuper2000/higher-lb-score-by-tuning-mloss-upgrade-1696e2", "kernel_id": "12073919"}, {"ref": "ttkagglett/24th-place-solution", "kernel_id": "12187910"}, {"ref": "shenseanchen2/final", "kernel_id": "12102352"}, {"ref": "ukveteran/get-going-eda-jma", "kernel_id": "12592372"}, {"ref": "artkulak/inference-45-55-600-epochs-tuned-effnet-b5-30-ep", "kernel_id": "12106256"}, {"ref": "artkulak/simple-logreg", "kernel_id": "12109448"}, {"ref": "veronicaloy/linear-model", "kernel_id": "12213120"}, {"ref": "c7934597/inference-45-55-600-epochs-tuned-effnet-b5-30-ep", "kernel_id": "12251809"}, {"ref": "snsinha0305/higher-lb-score-by-tuning-mloss-around-6-811", "kernel_id": "12097217"}, {"ref": "abhishekgbhat/tissue-segmentation-used-in-4th-place-solution", "kernel_id": "12023596"}, {"ref": "kentaroh34/pulmonary-fibrosis-inceptionresnetv2-finetuning", "kernel_id": "12473520"}, {"ref": "ilu000/osic-my-normalized-submission-with-explanation", "kernel_id": "12150672"}, {"ref": "sayantanmukh/osic-pulmonary-fibrosis", "kernel_id": "12014600"}, {"ref": "manoelfigueiredo/fpi-prediction", "kernel_id": "12254628"}, {"ref": "nihadtp/osic-data-analysis-lasso-ridge-regression", "kernel_id": "12483167"}, {"ref": "rininobaron/fork-of-osic-heuristic-approach", "kernel_id": "12095843"}, {"ref": "rininobaron/osic-tuning-ii", "kernel_id": "12085845"}, {"ref": "rininobaron/fork-of-higher-lb-score-by-tuning-mloss-u-da8190", "kernel_id": "12085045"}, {"ref": "takuyatone/qr-confidence-tuning-tabular-data-only", "kernel_id": "12170972"}, {"ref": "pranav2103/major-final-code-with-algorithm", "kernel_id": "12266215"}, {"ref": "pranav2103/major-preprosseing", "kernel_id": "12224411"}, {"ref": "mohamedhanyyy/osic-pulmonary-fibrosis-progression-analysis", "kernel_id": "12246761"}, {"ref": "zefirchik/pred-pred-pred", "kernel_id": "12112329"}, {"ref": "lavanyask/osic-pulmonary-fibrosis-eda", "kernel_id": "12357164"}, {"ref": "misakrug/osic-multiple-quantile-regression-eda", "kernel_id": "12140420"}, {"ref": "srilakshminalla/osic-pulmonary-fibrosis-progression-basic-eda", "kernel_id": "12029344"}, {"ref": "elvinagammed/osic-ensemble-iii", "kernel_id": "12081919"}, {"ref": "katsuyanomura/notebook7a7091313c", "kernel_id": "12051937"}, {"ref": "katsuyanomura/osic-chest-df", "kernel_id": "12051925"}, {"ref": "hfutybx/residual-train-pytorch-osic-multiple-quantile", "kernel_id": "12008967"}, {"ref": "carlmcbrideellis/shakeup-interactive-scatterplot-maker", "kernel_id": "12198536"}, {"ref": "arslan23/osic-pulmonary-fibrosis-grey-cells", "kernel_id": "12062246"}, {"ref": "doctorkael/osic-inference", "kernel_id": "12120569"}, {"ref": "jenishpatel/linear-decay-based-on-resnet-cnn", "kernel_id": "12407210"}, {"ref": "arpitmishra0891/feature-engineering-with-a-linear-model", "kernel_id": "12915853"}, {"ref": "parikshitjadav/notebookc9c35bed8b", "kernel_id": "12140234"}, {"ref": "nourelkhalawy1998/pulmonary-fibrosis-competition-eda-dicom-prep", "kernel_id": "12029058"}, {"ref": "julianobatistim/osic-pulmonary-fibrosis-progression-pycaret", "kernel_id": "12054912"}, {"ref": "julianobatistim/osic-pulmonary-fibrosis-progression", "kernel_id": "12054094"}, {"ref": "lucianoabatidaga/progresi-n-de-fibrosis-pulmonar-eda", "kernel_id": "12138468"}, {"ref": "jagadish13/osic-baseline-elasticnet-eda-testing", "kernel_id": "12072179"}, {"ref": "delphinebannier/projet-fr", "kernel_id": "12822191"}, {"ref": "shivammittal274/osic-eda-basic-model-using-tabular-data-only", "kernel_id": "12057527"}, {"ref": "steuxnet/osic-pulmonary-fibrosis-progression-basic-eda", "kernel_id": "12722977"}, {"ref": "imoore/osic-ensemble-modelling-2", "kernel_id": "12029456"}, {"ref": "martintosstorff/using-lung-volumes-for-describing-fibrosis-state", "kernel_id": "12117772"}, {"ref": "polomarco/visualizatio-3d-nifti-dicom-matlab-nrrd-files", "kernel_id": "12748612"}, {"ref": "polomarco/chest-ct-segmentation-lung-heart-trachea", "kernel_id": "12420000"}, {"ref": "douglaskgaraujo/simple-log-linear-models", "kernel_id": "12068269"}, {"ref": "douglaskgaraujo/simple-log-linear-quantile-models", "kernel_id": "12081211"}, {"ref": "shovalt/laplace-log-likelihood-review", "kernel_id": "12201057"}, {"ref": "aravrs/3d-dicom-visualizations-with-interactive-plots", "kernel_id": "12029097"}, {"ref": "danhieule/osic-2nd-attempt", "kernel_id": "12119810"}, {"ref": "mikhailkennerley/ensemble", "kernel_id": "12482093"}, {"ref": "mikhailkennerley/notebook7d5092baaa", "kernel_id": "12385746"}, {"ref": "tickett/notebook540f0f89ab", "kernel_id": "12087498"}, {"ref": "tickett/notebook36efa65bf2", "kernel_id": "12099426"}, {"ref": "tickett/6f332f7", "kernel_id": "12118991"}, {"ref": "lsllee/notebook0f1f2942a7", "kernel_id": "12017412"}, {"ref": "wekandoit/layers-changed-training-notebook-efficientnet-b1", "kernel_id": "12543383"}, {"ref": "anlbatuengn/notebook0ef4208b3e", "kernel_id": "12470575"}, {"ref": "avirdee/dicom-splitter-tutorial", "kernel_id": "13091931"}, {"ref": "avirdee/dicom-dataframe-tutorial", "kernel_id": "13092545"}, {"ref": "avirdee/mask-and-save-tutorial", "kernel_id": "13139010"}, {"ref": "avirdee/sort-tutorial", "kernel_id": "13167544"}, {"ref": "purnima29/final-model", "kernel_id": "13796877"}, {"ref": "sauravsb99/osic-autoencoder-training", "kernel_id": "13285504"}, {"ref": "clarkziyuanwang/osic-feature-extract-from-ct", "kernel_id": "13103918"}, {"ref": "clarkziyuanwang/efficientnet", "kernel_id": "13509375"}, {"ref": "karimadham/visulaization-of-dicom-file", "kernel_id": "13606944"}, {"ref": "delphinebannier/copiefr", "kernel_id": "13362951"}, {"ref": "benefactor/dnn-lgbm-ngboost-elasticnet", "kernel_id": "13800235"}, {"ref": "khadijatulkobra/submission-3", "kernel_id": "13083232"}, {"ref": "khadijatulkobra/meatadata", "kernel_id": "13300191"}, {"ref": "kashogi/notebook82d1780aa5", "kernel_id": "13857021"}, {"ref": "lukereijnen/pulmonaryfibrosis-environment-51f0d2", "kernel_id": "14004827"}, {"ref": "ilafnoune/k-fold-efficientnet-models", "kernel_id": "14989624"}, {"ref": "namanbansalcodes/revamp", "kernel_id": "14718923"}, {"ref": "ali313/lstm-with-qloss", "kernel_id": "14056066"}, {"ref": "zhoutianyu/cs4220", "kernel_id": "15768110"}, {"ref": "namanbansalcodes/lstm-for-osic-with-stat-data", "kernel_id": "15437187"}, {"ref": "redmonk199/fyp-efficientnet", "kernel_id": "16930481"}, {"ref": "shrivarsheni/pulmonary-fibrosis-competition-dicom-prep", "kernel_id": "16766778"}, {"ref": "yasserhessein/osic-pulmonary-fibrosis-autoeda", "kernel_id": "16641220"}, {"ref": "jawooson/rds-project-draft", "kernel_id": "16160835"}, {"ref": "zhongliangjiang/efficientnets-quantile-regression-infere-f31a59", "kernel_id": "16366832"}, {"ref": "aniruddhamandal/notebookd9be523aad", "kernel_id": "17007397"}, {"ref": "ishwor2048/level-1-on-siim-fisabio-rsna-covid-19-detection", "kernel_id": "17070130"}, {"ref": "aashish2k/osic-cnn", "kernel_id": "19470101"}, {"ref": "dipankarbhowmik/notebook5728a01d7c", "kernel_id": "20015050"}, {"ref": "at3191/restaurant-revenue-prediction-trial-1", "kernel_id": "21332080"}, {"ref": "keching/osic-pulmonary-fibrosis", "kernel_id": "21489521"}, {"ref": "sashashady/fork-of-linear-decay-based-on-resnet-cnn-f9bf9f", "kernel_id": "22363110"}, {"ref": "gfugante/osic-pulmonary-fibrosis-progression", "kernel_id": "22646954"}, {"ref": "aashish2k/osiclstm", "kernel_id": "22754409"}, {"ref": "habibmrad1983/advanced-dicom-ct-3d-visualizations-with-vtk", "kernel_id": "23440966"}, {"ref": "gfugante/osic-pfp-simple-solution", "kernel_id": "23848001"}, {"ref": "luciancaraba/osic-eda", "kernel_id": "23977861"}, {"ref": "tuhao911/cnn-osic-pulmonary-fibrosis-progression", "kernel_id": "23977209"}, {"ref": "niharoad/quantile-reg", "kernel_id": "24214079"}, {"ref": "shahkanishk/pulmonary-fibrosis", "kernel_id": "25257649"}, {"ref": "viyon6/osic-notebook-eda-my", "kernel_id": "27700284"}, {"ref": "viyon6/vgg-16-1", "kernel_id": "27473987"}, {"ref": "viyon6/vgg-16-2", "kernel_id": "28834231"}, {"ref": "viyon6/vgg-16-5", "kernel_id": "28850666"}, {"ref": "viyon6/vgg-16-6", "kernel_id": "28857064"}, {"ref": "viyon6/vgg-16-3", "kernel_id": "28846464"}, {"ref": "viyon6/vgg-16-4", "kernel_id": "28847795"}, {"ref": "viyon6/resnet", "kernel_id": "28908232"}, {"ref": "viyon6/vgg-16-7", "kernel_id": "28860760"}, {"ref": "viyon6/notebookc807638177", "kernel_id": "28176412"}, {"ref": "viyon6/vgg-16-0", "kernel_id": "28489163"}, {"ref": "viyon6/resnet2", "kernel_id": "29064993"}, {"ref": "debuggedcoder/study-the-dataset-for-future-use", "kernel_id": "29153707"}, {"ref": "manju16ecd003/q-regression-with-ct-tabular-features-pytorch", "kernel_id": "30840848"}, {"ref": "mustang007/probabilistic-machine-learning-a-diff-approach", "kernel_id": "30186503"}, {"ref": "debuggedcoder/efficientnets-quantile-regression-anas", "kernel_id": "30283598"}, {"ref": "arif13gunawan/baseline-regression-model", "kernel_id": "31801700"}, {"ref": "nabokova19/notebook35b3c10218", "kernel_id": "32444554"}, {"ref": "polinachunaeva/notebookf7fb96b3bc", "kernel_id": "32536023"}, {"ref": "rundomoi/notebookf8b8cf8f3d", "kernel_id": "32443125"}, {"ref": "zmlknelena/notebook15a5084d54", "kernel_id": "32444510"}, {"ref": "misha21/notebook83f07a0fe0", "kernel_id": "32365617"}, {"ref": "ekaterina02/notebook9e89f5a247", "kernel_id": "32444398"}, {"ref": "xiefei/osic-understanding-laplace-log-likelihood", "kernel_id": "33208392"}, {"ref": "misha21/notebookaa6e9b31db", "kernel_id": "33100891"}, {"ref": "jryoungw/bayesian-uncertainty", "kernel_id": "34124992"}, {"ref": "reemtarekmohsen/notebook031a2bfe8d", "kernel_id": "34871821"}, {"ref": "abdalrahmanshahrour/osic-pulmonary-fibrosis-progression", "kernel_id": "34831089"}, {"ref": "zmlknelena/notebook2c72ada1e5", "kernel_id": "34103887"}, {"ref": "tatineesarkersunom/osic-pulmonary-fibrosis-progression-eda", "kernel_id": "34556263"}, {"ref": "yousefaborizk/aorta-grad", "kernel_id": "35328229"}, {"ref": "fengshaodi/vae-pytorch", "kernel_id": "36809584"}, {"ref": "aryaaherrao/lung-segmentation-2d-3d", "kernel_id": "36918837"}, {"ref": "aryaaherrao/osic-pulmonary-fibrosis-graph", "kernel_id": "36958004"}, {"ref": "kaustubh2510/pulmonary-fibrosis-feature-engineering", "kernel_id": "37252807"}, {"ref": "abdoibrahimkarawia/notebook684b95513f", "kernel_id": "37253480"}, {"ref": "bahaaibrahimk/notebook684b95513f", "kernel_id": "37430968"}, {"ref": "xinpengshan/higher-lb-score-by-tuning-mloss-upgrade-visual", "kernel_id": "39982507"}, {"ref": "derekxue/pulmonary-fibrosis-competition-eda-dicom-prep", "kernel_id": "40354514"}, {"ref": "srikanthsamy/pulmonaryfibrosisnet", "kernel_id": "41289081"}, {"ref": "siriusmhlee/study-osic-pulmonary-fibrosis-progression", "kernel_id": "46737040"}, {"ref": "vairamexe/hierarchical-bayesian-modeling-for-fvc-prediction", "kernel_id": "46509455"}, {"ref": "greatinnovations/2d-3d-pix2vox-2d-von", "kernel_id": "46239202"}, {"ref": "sani84/study-of-pulmonary-fibrosis-analysis-with-lstm", "kernel_id": "48259859"}, {"ref": "sani84/understanding-dicoms", "kernel_id": "48250582"}, {"ref": "sani84/efficientnets-quantile-regression-inference", "kernel_id": "48250726"}, {"ref": "wangyaolong/project", "kernel_id": "48120993"}, {"ref": "ethansc16/pulmonary-fibrosis", "kernel_id": "50758817"}, {"ref": "ethansc16/pulmonary-fibrosis-draft-2", "kernel_id": "52074139"}, {"ref": "cherry984/fibroinsight-ai-based-fibrosis-progression", "kernel_id": "52927605"}, {"ref": "vivekrainaa/fibrosis-lung-segmentation-with-model-weights", "kernel_id": "55374529"}, {"ref": "vasanthkumarch/pulmonary-fibrosis-code-eda-dicom-prep", "kernel_id": "63215093"}, {"ref": "adithyarxdrn/png-training-set", "kernel_id": "67830881"}, {"ref": "abdullahragheb/covert-ct-into-2d-mri", "kernel_id": "68585004"}, {"ref": "rebaihabib/pulmonary-dicom-preprocessing", "kernel_id": "72827098"}, {"ref": "vasanthkumarch/osic-pulmonary-fibrosis-progression-basic-eda", "kernel_id": "76582339"}, {"ref": "mohamedkameltounsi/osic-finaal", "kernel_id": "81647114"}, {"ref": "richard7136/tugas-citra-medis-162112133093", "kernel_id": "82811208"}, {"ref": "abdelrahmanaladdin/competition", "kernel_id": "85973303"}, {"ref": "anluong9905/luong-my-an", "kernel_id": "90660278"}, {"ref": "nxnmai/pulmonary-fibrosis-competition-eda-dicom-prep", "kernel_id": "90266924"}, {"ref": "kdeepashree/pulmoneryfibrosis-heatmap", "kernel_id": "91899118"}, {"ref": "catherinemaryj/project-work-1", "kernel_id": "98134528"}, {"ref": "aaricrodrigues/fvccheck", "kernel_id": "99352846"}, {"ref": "nguyenhoangthekiet/osic-pulmonary-fibrosis-progression-cnn3d-rnn", "kernel_id": "100918947"}, {"ref": "chethanmn0907/osic-fibrosis-u-net-fe-predection", "kernel_id": "102656065"}, {"ref": "aruldassr/chronoscan-3d-tumor-tracking-medgemma", "kernel_id": "108337807"}, {"ref": "jishnuks17/pulmonary-dicom-preprocessing", "kernel_id": "109669890"}, {"ref": "horsthahn/lung-segmentation-by-marker-controlled-watershed", "kernel_id": "116973765"}, {"ref": "ahtashamilyas/lung-segmentation-by-marker-controlled-watershed", "kernel_id": "117039085"}, {"ref": "atoposeternity/chest-ct-segmentation-lung-heart-trachea", "kernel_id": "120279123"}, {"ref": "tluollv/mlp-submit", "kernel_id": "121802456"}, {"ref": "tluollv/ct-preprocessed", "kernel_id": "121991031"}, {"ref": "tluollv/fangshezuxue", "kernel_id": "122030618"}, {"ref": "steevedong/efficientnets-quantile-regression-inference", "kernel_id": "123132826"}, {"ref": "jaspreetjj/ipf-detection", "kernel_id": "133471382"}]}
{"competition_id": "20605", "kernels": [{"ref": "azimahmadzadeh/data-demo", "kernel_id": "9334697"}]}
{"competition_id": "20612", "kernels": [{"ref": "seonghyeokcho/sdscsh", "kernel_id": "9543260"}, {"ref": "jdongwon/kernel7382fa5746", "kernel_id": "9543241"}, {"ref": "hyeonbinkim/kim-hwang", "kernel_id": "9542930"}, {"ref": "jay3800/bmkimjychoi", "kernel_id": "9542945"}, {"ref": "warcoa/seungje1", "kernel_id": "12428920"}]}
{"competition_id": "20622", "kernels": []}
{"competition_id": "20627", "kernels": [{"ref": "joaopcnogueira/como-submeter-solu-es-no-kaggle", "kernel_id": "9396779"}]}
{"competition_id": "20638", "kernels": [{"ref": "athosdamiani/04-xgboost-exercicio", "kernel_id": "9479785"}, {"ref": "athosdamiani/submissao-exemplo", "kernel_id": "9482251"}, {"ref": "dfalbel/03-xgboost", "kernel_id": "9477962"}, {"ref": "dfalbel/01-explorat-ria", "kernel_id": "9363585"}, {"ref": "dfalbel/02-tidymodels", "kernel_id": "9363908"}, {"ref": "gomes555/xgboost-bayes-opt-tunig", "kernel_id": "9659920"}]}
{"competition_id": "20641", "kernels": []}
{"competition_id": "20643", "kernels": []}
{"competition_id": "20645", "kernels": [{"ref": "melody92/kernel21ba5f8910", "kernel_id": "9554535"}]}
{"competition_id": "20646", "kernels": [{"ref": "cmosquera/ejemplo", "kernel_id": "9386617"}, {"ref": "tobaslifschitz/cifar-100-mlp-tl", "kernel_id": "9957753"}, {"ref": "tobaslifschitz/cifar-100-squeezenet-tl", "kernel_id": "10548159"}]}
{"competition_id": "20648", "kernels": []}
{"competition_id": "20649", "kernels": []}
{"competition_id": "20650", "kernels": []}
{"competition_id": "20662", "kernels": [{"ref": "ciceromoura/baseline-data-train-competi-o-ml-1-titanic", "kernel_id": "9539515"}, {"ref": "kaqueferreira/data-train-1-competi-o-titanic", "kernel_id": "9952044"}, {"ref": "rosimeirepereira/baseline-data-train-competi-o-ml-1-titanic", "kernel_id": "10004571"}, {"ref": "igorkf/datatrain-1-competi-o-titanic-xgboost", "kernel_id": "10137583"}, {"ref": "eduardoakira/solu-o-3-lugar", "kernel_id": "10111317"}, {"ref": "lucasorramon/data-train-competi-o-ml-1-titanic", "kernel_id": "10123586"}, {"ref": "luannoleto/1-lugar-luan-mota", "kernel_id": "10148679"}]}
{"competition_id": "20667", "kernels": []}
{"competition_id": "20668", "kernels": [{"ref": "dharamvirkumaryadav/movie-sentiment-analysis", "kernel_id": "10007561"}]}
{"competition_id": "20669", "kernels": []}
{"competition_id": "20670", "kernels": []}
{"competition_id": "20675", "kernels": []}
{"competition_id": "20677", "kernels": []}
{"competition_id": "20678", "kernels": []}
{"competition_id": "20685", "kernels": []}
{"competition_id": "20694", "kernels": [{"ref": "drwasim/getting-started-with-fake-news-dataset", "kernel_id": "9448331"}]}
{"competition_id": "20702", "kernels": []}
{"competition_id": "20707", "kernels": [{"ref": "jadenqee/linearsvr", "kernel_id": "9539412"}, {"ref": "yapinghe/linearsvr", "kernel_id": "45393206"}]}
{"competition_id": "20711", "kernels": []}
{"competition_id": "20721", "kernels": [{"ref": "kuantinglai/kernel772171cd6c", "kernel_id": "9463730"}, {"ref": "nadacat/car-racing-using-ppo", "kernel_id": "27683008"}]}
{"competition_id": "20729", "kernels": [{"ref": "melvinkokxw/diamond-price-prediction", "kernel_id": "9660156"}, {"ref": "samuelchuajiacong/white-hat-submission", "kernel_id": "9495011"}, {"ref": "mldaeeentu/example-notebook", "kernel_id": "9492269"}, {"ref": "chongjh/chongjh", "kernel_id": "9631129"}, {"ref": "liwxinci/xc-notebook", "kernel_id": "9494783"}, {"ref": "sleepyyy/sleepy", "kernel_id": "9532845"}, {"ref": "trashaa/shiny-rock", "kernel_id": "9553161"}]}
{"competition_id": "20739", "kernels": []}
{"competition_id": "20760", "kernels": []}
{"competition_id": "20761", "kernels": []}
{"competition_id": "20762", "kernels": []}
{"competition_id": "20769", "kernels": []}
{"competition_id": "20772", "kernels": []}
{"competition_id": "20774", "kernels": []}
{"competition_id": "20798", "kernels": []}
{"competition_id": "20819", "kernels": []}
{"competition_id": "20829", "kernels": [{"ref": "n3n77i/title-read", "kernel_id": "9773530"}, {"ref": "n3n77i/aggreg", "kernel_id": "9779986"}, {"ref": "davidmezzetti/trec-covid-submission", "kernel_id": "9877531"}, {"ref": "davidmezzetti/trec-covid-search-index", "kernel_id": "9876200"}, {"ref": "grapestone5321/trec-covid-information-retrieval-sample-submission", "kernel_id": "9813701"}, {"ref": "khotijahs1/trec-covid-information-retrieval", "kernel_id": "9753407"}, {"ref": "mpwolke/covid-19-cytokine-storm", "kernel_id": "9742400"}, {"ref": "mpwolke/covid-19-interleukin-6", "kernel_id": "9740472"}, {"ref": "mpwolke/covid-19-ace", "kernel_id": "9737239"}, {"ref": "mpwolke/covid-19-biomarkers", "kernel_id": "9789039"}, {"ref": "ajaygoswami/kernel6b62964a77", "kernel_id": "10016684"}, {"ref": "krishk31/trec-covid", "kernel_id": "14123476"}, {"ref": "phmchlinh/elasticsearch", "kernel_id": "19173811"}, {"ref": "lucasvalentim/trec-covid-information-retrieval-elasticsearch", "kernel_id": "22195880"}, {"ref": "pedroaxs/rl-treccov", "kernel_id": "22355844"}, {"ref": "diasdouglas/trec-covid", "kernel_id": "22127282"}, {"ref": "otvioalves/trec-covid-information-retrieval", "kernel_id": "22182977"}, {"ref": "moisscarlos/moises-trec-covid-index", "kernel_id": "22996808"}, {"ref": "brunosantacruz/trec-covid-information-retrieval", "kernel_id": "22196780"}, {"ref": "austinschacht/covid-19-biomarkers", "kernel_id": "63515377"}]}
{"competition_id": "20832", "kernels": []}
{"competition_id": "20836", "kernels": []}
{"competition_id": "20845", "kernels": []}
{"competition_id": "20850", "kernels": [{"ref": "plarmuseau/wm-recommend-purecosim", "kernel_id": "10099852"}]}
{"competition_id": "20856", "kernels": []}
{"competition_id": "20858", "kernels": [{"ref": "derekrobinson1/final-submission", "kernel_id": "22775241"}]}
{"competition_id": "20859", "kernels": []}
{"competition_id": "20863", "kernels": []}
{"competition_id": "20864", "kernels": []}
{"competition_id": "20865", "kernels": []}
{"competition_id": "20866", "kernels": []}
{"competition_id": "20869", "kernels": []}
{"competition_id": "20874", "kernels": []}
{"competition_id": "20879", "kernels": []}
{"competition_id": "20883", "kernels": []}
{"competition_id": "20885", "kernels": []}
{"competition_id": "20900", "kernels": [{"ref": "podmarev/recommendation-challenge-v3-using-lightfm", "kernel_id": "61248058"}, {"ref": "podmarev/recommendation-challenge-v3-using-spark-rs", "kernel_id": "61249798"}, {"ref": "podmarev/recommendation-challenge-v3-using-svd", "kernel_id": "61236957"}]}
{"competition_id": "20907", "kernels": [{"ref": "sihongx/kernel4c81a6ca2e", "kernel_id": "9678738"}, {"ref": "sihongx/utilities", "kernel_id": "9680705"}]}
{"competition_id": "20908", "kernels": [{"ref": "rennozaki/kernel7c2a2cb44c", "kernel_id": "10561318"}]}
{"competition_id": "20910", "kernels": []}
{"competition_id": "20911", "kernels": []}
{"competition_id": "20912", "kernels": []}
{"competition_id": "20914", "kernels": [{"ref": "rd92gonzalez/competenciarubengonzalez", "kernel_id": "10244660"}]}
{"competition_id": "20915", "kernels": [{"ref": "mmccombe/bank-data-exploration", "kernel_id": "9718773"}, {"ref": "mmccombe/random-guess", "kernel_id": "9696532"}, {"ref": "nickbourdeau/bank-telemarketing-with-xgboost", "kernel_id": "9719215"}, {"ref": "mlindquist821/telemarketing-predictions-using-decision-trees", "kernel_id": "9715488"}, {"ref": "rrg5kq/bank-prediction-analysis", "kernel_id": "9719367"}, {"ref": "devbhojwani/bank-data-modeling", "kernel_id": "9718873"}, {"ref": "jamiedo/kaggle-comp-code", "kernel_id": "9719390"}, {"ref": "katherinestrickland/katie-s-code", "kernel_id": "9719421"}, {"ref": "ryanbarnett5/kaggle-comp-code", "kernel_id": "9718678"}]}
{"competition_id": "20916", "kernels": []}
{"competition_id": "20917", "kernels": []}
{"competition_id": "20919", "kernels": []}
{"competition_id": "20921", "kernels": []}
{"competition_id": "20923", "kernels": []}
{"competition_id": "20925", "kernels": []}
{"competition_id": "20926", "kernels": []}
{"competition_id": "20927", "kernels": []}
{"competition_id": "20930", "kernels": [{"ref": "junbumlee/2021-11-16-beomi-beep-kcelectra-base-hate", "kernel_id": "22057371"}, {"ref": "ohseunghoon1/notebookca99ac5ec2", "kernel_id": "72739328"}, {"ref": "jihojeong2/deeplearning1", "kernel_id": "82184652"}, {"ref": "leechan0611/notebookddb68f0b53", "kernel_id": "82027277"}, {"ref": "ooaaaaaaaa/2025-2-ai-tp3-23011954-yeonheelee", "kernel_id": "104091198"}, {"ref": "kevshim/koelectra", "kernel_id": "115198875"}]}
{"competition_id": "20931", "kernels": []}
{"competition_id": "20932", "kernels": []}
{"competition_id": "20933", "kernels": [{"ref": "junbumlee/2021-11-16-beomi-beep-kcelectra-base-bias", "kernel_id": "22056913"}]}
{"competition_id": "20935", "kernels": []}
{"competition_id": "20936", "kernels": []}
{"competition_id": "20942", "kernels": []}
{"competition_id": "20945", "kernels": []}
{"competition_id": "20947", "kernels": []}
{"competition_id": "20948", "kernels": []}
{"competition_id": "20949", "kernels": [{"ref": "skyil7/lol-winner-prediction-baseline", "kernel_id": "9711953"}, {"ref": "skyil7/19011484-99-41-acc", "kernel_id": "10141619"}, {"ref": "sejeongpark/17011885-acc-0-97811", "kernel_id": "10133102"}]}
{"competition_id": "20951", "kernels": [{"ref": "derekcorcoran/kernel175c791f6f", "kernel_id": "9721781"}]}
{"competition_id": "20953", "kernels": [{"ref": "jganzabal/regresi-n-log-stica-con-keras", "kernel_id": "9718266"}, {"ref": "mauricio88/regresi-n-log-stica-con-keras", "kernel_id": "34055839"}, {"ref": "fernandomasi/regresi-n-log-stica-con-keras", "kernel_id": "34553535"}, {"ref": "guillermoh/regresi-n-log-stica-con-keras", "kernel_id": "40363910"}, {"ref": "hordia/regresi-n-log-stica-con-keras", "kernel_id": "42236394"}]}
{"competition_id": "20958", "kernels": []}
{"competition_id": "20961", "kernels": []}
{"competition_id": "20963", "kernels": []}
{"competition_id": "20965", "kernels": []}
{"competition_id": "20970", "kernels": []}
{"competition_id": "20972", "kernels": []}
{"competition_id": "20974", "kernels": []}
{"competition_id": "20975", "kernels": []}
{"competition_id": "20980", "kernels": []}
{"competition_id": "20982", "kernels": []}
{"competition_id": "20983", "kernels": []}
{"competition_id": "20986", "kernels": []}
{"competition_id": "20988", "kernels": []}
{"competition_id": "20990", "kernels": []}
{"competition_id": "21002", "kernels": []}
{"competition_id": "21003", "kernels": []}
{"competition_id": "21004", "kernels": [{"ref": "suzykwag/18011797-14-85401", "kernel_id": "10134225"}, {"ref": "hellokwon/18011834-rmse-15-16287", "kernel_id": "10131385"}, {"ref": "kimyoungjinck/16013074-rmse-15-16182", "kernel_id": "10375595"}, {"ref": "kimyoungjinck/16013074-15-16182", "kernel_id": "10375864"}]}
{"competition_id": "21005", "kernels": []}
{"competition_id": "21006", "kernels": [{"ref": "lunabeta/baseline", "kernel_id": "10120003"}, {"ref": "lunabeta/defence-89", "kernel_id": "10129860"}, {"ref": "leejinsoo/xgboost", "kernel_id": "10383017"}]}
{"competition_id": "21007", "kernels": []}
{"competition_id": "21012", "kernels": []}
{"competition_id": "21015", "kernels": []}
{"competition_id": "21016", "kernels": []}
{"competition_id": "21017", "kernels": [{"ref": "minzzzzi/18011809-rsme-7-41400", "kernel_id": "10381257"}, {"ref": "minzzzzi/baseline-code", "kernel_id": "10101948"}, {"ref": "minzzzzi/defense-code", "kernel_id": "10143087"}, {"ref": "sejeongpark/17011885-rmse-7-78059", "kernel_id": "10139515"}]}
{"competition_id": "21024", "kernels": []}
{"competition_id": "21025", "kernels": []}
{"competition_id": "21026", "kernels": []}
{"competition_id": "21031", "kernels": []}
{"competition_id": "21032", "kernels": []}
{"competition_id": "21033", "kernels": []}
{"competition_id": "21036", "kernels": []}
{"competition_id": "21037", "kernels": []}
{"competition_id": "21038", "kernels": [{"ref": "shimjaekyung/baseline-over-code", "kernel_id": "10126190"}, {"ref": "lsumin/baseline", "kernel_id": "10108101"}]}
{"competition_id": "21040", "kernels": []}
{"competition_id": "21041", "kernels": [{"ref": "plarmuseau/cabbage-regressions", "kernel_id": "9796323"}]}
{"competition_id": "21046", "kernels": []}
{"competition_id": "21047", "kernels": []}
{"competition_id": "21054", "kernels": []}
{"competition_id": "21062", "kernels": []}
{"competition_id": "21074", "kernels": []}
{"competition_id": "21076", "kernels": []}
{"competition_id": "21077", "kernels": []}
{"competition_id": "21078", "kernels": []}
{"competition_id": "21079", "kernels": []}
{"competition_id": "21081", "kernels": []}
{"competition_id": "21082", "kernels": []}
{"competition_id": "21085", "kernels": []}
{"competition_id": "21086", "kernels": []}
{"competition_id": "21088", "kernels": []}
{"competition_id": "21089", "kernels": []}
{"competition_id": "21090", "kernels": []}
{"competition_id": "21091", "kernels": []}
{"competition_id": "21092", "kernels": []}
{"competition_id": "21094", "kernels": []}
{"competition_id": "21095", "kernels": []}
{"competition_id": "21100", "kernels": []}
{"competition_id": "21102", "kernels": [{"ref": "hanilevenshtein/17011807-15-4", "kernel_id": "10398324"}, {"ref": "sumyeongjang/18011790-16-39053", "kernel_id": "10140823"}, {"ref": "sumyeongjang/2nd-attack-code-15-89244", "kernel_id": "10383533"}, {"ref": "hyeinhailey/fired-area-prediction-baseline", "kernel_id": "10117975"}, {"ref": "hyeinhailey/fired-area-prediction-defense-15-94591", "kernel_id": "10217528"}]}
{"competition_id": "21103", "kernels": []}
{"competition_id": "21105", "kernels": []}
{"competition_id": "21106", "kernels": []}
{"competition_id": "21110", "kernels": []}
{"competition_id": "21111", "kernels": [{"ref": "mingxoxo/baseline-code", "kernel_id": "9902232"}, {"ref": "mingxoxo/baseline-defense-492-55280", "kernel_id": "10185864"}, {"ref": "liv0vil/476-173-2-18011817", "kernel_id": "10398570"}, {"ref": "kimssojin/17011762-506-33095", "kernel_id": "10125580"}]}
{"competition_id": "21115", "kernels": [{"ref": "s2blue4687/how-to-get-baseline-score-2-35395", "kernel_id": "10115930"}, {"ref": "s2blue4687/defense-ice-2-08608", "kernel_id": "10170617"}, {"ref": "gysk97/attack-ice", "kernel_id": "10143085"}]}
{"competition_id": "21118", "kernels": [{"ref": "ltrahul/30-days-of-ml-1", "kernel_id": "28402762"}, {"ref": "aniketgope00/30daysfml", "kernel_id": "68857243"}]}
{"competition_id": "21119", "kernels": [{"ref": "iluvchicken/kernel333c2d186e", "kernel_id": "9866481"}]}
{"competition_id": "21120", "kernels": []}
{"competition_id": "21124", "kernels": [{"ref": "ltrahul/30-days-of-ml-2", "kernel_id": "28402709"}]}
{"competition_id": "21125", "kernels": [{"ref": "suzykwag/kaggle-waterquality-baseline", "kernel_id": "10078243"}]}
{"competition_id": "21126", "kernels": []}
{"competition_id": "21128", "kernels": []}
{"competition_id": "21130", "kernels": []}
{"competition_id": "21133", "kernels": []}
{"competition_id": "21134", "kernels": [{"ref": "wcg1993/baseline-updated", "kernel_id": "9909076"}, {"ref": "kimyeonwooo/17011780", "kernel_id": "10164728"}, {"ref": "forstudydday/kernel281d2f0b71", "kernel_id": "10398682"}]}
{"competition_id": "21135", "kernels": [{"ref": "magogu/17011797-340-454", "kernel_id": "10202532"}, {"ref": "sejeonglee/defense", "kernel_id": "10381413"}, {"ref": "sejeonglee/baseline2-6-15-21-24", "kernel_id": "10137670"}, {"ref": "sejeonglee/baseline-code", "kernel_id": "10124380"}, {"ref": "suzykwag/18011797-642-68491", "kernel_id": "10135768"}]}
{"competition_id": "21138", "kernels": []}
{"competition_id": "21139", "kernels": []}
{"competition_id": "21143", "kernels": []}
{"competition_id": "21144", "kernels": [{"ref": "luabul/baseline-glcm-sirius", "kernel_id": "9906412"}]}
{"competition_id": "21147", "kernels": [{"ref": "sumyeongjang/defense-baseline-code", "kernel_id": "10212964"}, {"ref": "sumyeongjang/baseline-code", "kernel_id": "10116633"}, {"ref": "sumyeongjang/2nd-attack-code-0-85029", "kernel_id": "10383360"}, {"ref": "sejeonglee/17011850-1-05166-10", "kernel_id": "10178052"}]}
{"competition_id": "21148", "kernels": []}
{"competition_id": "21150", "kernels": [{"ref": "hyeinhailey/17011869-21-09682", "kernel_id": "10134428"}, {"ref": "mimnn99/18011751-rmse-21-00506", "kernel_id": "10398260"}, {"ref": "joeunseo29/18011884", "kernel_id": "10398599"}]}
{"competition_id": "21154", "kernels": [{"ref": "dimitreoliveira/flower-classification-with-tpus-eda-and-baseline", "kernel_id": "7975972"}, {"ref": "yihdarshieh/custom-training-with-tpu", "kernel_id": "7919758"}, {"ref": "dimitreoliveira/flower-with-tpus-advanced-augmentations", "kernel_id": "8156367"}, {"ref": "dimitreoliveira/flower-with-tpus-k-fold-optimized-training-loop", "kernel_id": "8387784"}, {"ref": "kurianbenoy/introduction-kernel-for-petal2metal-flowers-0-97", "kernel_id": "8083297"}, {"ref": "yihdarshieh/perspective-transformation", "kernel_id": "8296961"}, {"ref": "yihdarshieh/batch-implementation-of-more-data-augmentations", "kernel_id": "8287180"}, {"ref": "yihdarshieh/make-chris-deotte-s-data-augmentation-faster", "kernel_id": "8194769"}, {"ref": "cdeotte/cutmix-and-mixup-on-gpu-tpu", "kernel_id": "8168142"}, {"ref": "cdeotte/rotation-augmentation-gpu-tpu-0-96", "kernel_id": "8122618"}, {"ref": "ibrahimsherify/comparing-two-different-schedulers", "kernel_id": "9092691"}, {"ref": "saife245/squeezenet-model-size-of-0-5mb-is-it-true", "kernel_id": "9703475"}, {"ref": "philculliton/a-simple-petals-tf-2-2-notebook", "kernel_id": "10206108"}, {"ref": "toel1234/kernel13da2a0b52", "kernel_id": "10381566"}, {"ref": "athews/transfer-learning-cv-tpu-101", "kernel_id": "10901030"}, {"ref": "sandy1112/petals-meet-resnet50-built-and-retrained-on-tpu", "kernel_id": "10481402"}, {"ref": "anjanatiha/a-simple-flower-classification-with-tpus", "kernel_id": "10546151"}, {"ref": "taimour/flower-tpu-densenet201-earlystop-simpleaug-0-94", "kernel_id": "10878259"}, {"ref": "anuragreddy333/exercise-create-your-first-submission", "kernel_id": "10860160"}, {"ref": "atamazian/flower-classification-ensemble-effnet-densenet", "kernel_id": "10218760"}, {"ref": "atamazian/fc-ensemble-external-data-effnet-densenet", "kernel_id": "10764604"}, {"ref": "spaghettiidawg666/flower-classification", "kernel_id": "10842684"}, {"ref": "kurianbenoy/classifying-flowers-with-fastai2", "kernel_id": "10508458"}, {"ref": "vpkprasanna/efficientnetb7-xception-model", "kernel_id": "10757160"}, {"ref": "ibrahimsherify/bit-transfer-learning-in-tf", "kernel_id": "10997373"}, {"ref": "srutimallik/flower-classification-with-weighted-deep-nets", "kernel_id": "10977475"}, {"ref": "srutimallik/flower-classification-with-tpu", "kernel_id": "10972984"}, {"ref": "chaitanyamadaka/exercise-create-your-first-submission", "kernel_id": "10661844"}, {"ref": "servietsky/flowers-tpu-multiple-cnn-voting", "kernel_id": "10871371"}, {"ref": "rahulbana/tpu-getting-started", "kernel_id": "10901561"}, {"ref": "ryanholbrook/tfrecords-basics", "kernel_id": "10672863"}, {"ref": "ryanholbrook/petal-helper", "kernel_id": "10169071"}, {"ref": "ryanholbrook/create-your-first-submission", "kernel_id": "10204699"}, {"ref": "ryanholbrook/exercise-create-your-first-submission", "kernel_id": "10204702"}, {"ref": "ryanholbrook/getting-started-with-tpus", "kernel_id": "10187222"}, {"ref": "jaishanker/custom-classification-using-pre-trained-cnn-model", "kernel_id": "10949329"}, {"ref": "akashsuper2000/flower-classification-with-tpus", "kernel_id": "10378659"}, {"ref": "sarques/tpu-starter-basic-model-training-and-prediction", "kernel_id": "10217393"}, {"ref": "nitindatta/flower-classification-augmentations-eda", "kernel_id": "10591546"}, {"ref": "chankhavu/a-beginner-s-tpu-kernel-single-model-0-97", "kernel_id": "10961414"}, {"ref": "mattbast/image-classification-with-tpus", "kernel_id": "10683657"}, {"ref": "forlucas27/petal-first-test", "kernel_id": "10563986"}, {"ref": "grt2707/kernel69a6597f47", "kernel_id": "10334792"}, {"ref": "sanyamjain1999/using-resnet", "kernel_id": "10796611"}, {"ref": "leoisleo1/fork-of-flower-classification-with-tpus", "kernel_id": "10464090"}, {"ref": "soumochatterjee/flower-with-tpu", "kernel_id": "10360539"}, {"ref": "soumochatterjee/104-flower-classification", "kernel_id": "10591603"}, {"ref": "kmtk49/exercise-create-your-first-submission", "kernel_id": "10325435"}, {"ref": "mpwolke/exercise-violets-are-blue-we-love-tpu", "kernel_id": "10241706"}, {"ref": "salmaneunus/petals-to-the-metals-competition-inceptionv3", "kernel_id": "10546601"}, {"ref": "salmaneunus/petals-to-the-metals-competition-vgg16-first", "kernel_id": "10509194"}, {"ref": "salmaneunus/petals-to-the-metals-competition-resnet50v2", "kernel_id": "10510465"}, {"ref": "salmaneunus/petals-to-the-metals-competition-vgg16-tuning", "kernel_id": "10509774"}, {"ref": "fatimasalman/exercise-create-your-first-submission", "kernel_id": "10297442"}, {"ref": "fatimasalman/competitions-about-100-types-of-flowers-on-tpu", "kernel_id": "10311935"}, {"ref": "sebastianji/petals-random-blocking-data-augmentation-0-96", "kernel_id": "10264576"}, {"ref": "rishabhjain16/simple-submission-petals-to-the-metal", "kernel_id": "10511744"}, {"ref": "tuckerarrants/kfold-efficientnet-augmentation-s", "kernel_id": "10762955"}, {"ref": "raj713335/exercise-create-your-first-submission", "kernel_id": "10732459"}, {"ref": "arunadeviramesh/rotation-augmentation-submission", "kernel_id": "10473126"}, {"ref": "aycancal/exercise-create-your-first-submission", "kernel_id": "10986971"}, {"ref": "noele123/exercise-create-your-first-submission", "kernel_id": "10582803"}, {"ref": "burhangarari/petals-to-the-metal-using-xception-model", "kernel_id": "10609970"}, {"ref": "shirishsharma/flowers-and-efficientnet", "kernel_id": "10465415"}, {"ref": "amechinwose/exercise-create-your-first-submission", "kernel_id": "10826333"}, {"ref": "swatisk2702/flower-classification-on-tpus-with-efficient-net", "kernel_id": "10514418"}, {"ref": "shisham/flower-helper-classification", "kernel_id": "10865639"}, {"ref": "tarkanatakkan/exercise-create-your-first-submission", "kernel_id": "10693222"}, {"ref": "trideepdas42291/exercise-create-your-first-submission", "kernel_id": "10503327"}, {"ref": "micheledifazio/flowers-resnet34-pytorch-90", "kernel_id": "10154239"}, {"ref": "jayitabhattacharyya/efficientnetb7-petals", "kernel_id": "10283659"}, {"ref": "saitejasmopuri/exercise-create-your-first-submission", "kernel_id": "10763894"}, {"ref": "mankomyk/xception-model-with-dropout-30-epochs", "kernel_id": "10762168"}, {"ref": "mankomyk/efficientnetb7-model-30-epochs", "kernel_id": "10748379"}, {"ref": "fadzlinrafi/simple-efficientnetb7", "kernel_id": "10232699"}, {"ref": "arch11/petals-with-tpu-95-accurate-using-efficientnet-b7", "kernel_id": "10859686"}, {"ref": "prathmeshchoudhari/exercise-create-your-first-submission", "kernel_id": "10769481"}, {"ref": "janninga/petals-to-the-metal", "kernel_id": "10667469"}, {"ref": "jmarrietar/exercise-create-your-first-submission", "kernel_id": "11005424"}, {"ref": "morteng/petal2metal", "kernel_id": "11497656"}, {"ref": "jkquijas/compute-setup", "kernel_id": "11829706"}, {"ref": "sudhanshuraheja/petals-tpu-tta-external-data-0-95360-lb", "kernel_id": "11281017"}, {"ref": "srikanthpotukuchi/max-epoch", "kernel_id": "11138277"}, {"ref": "qrsforever/pytorch-lightning-tpu-getting-started-on-vgg", "kernel_id": "11979825"}, {"ref": "mikeberhane9/mike-s-forth-submission", "kernel_id": "11525493"}, {"ref": "vyordanov/densenet101-tpu-224x224-100-epochs", "kernel_id": "11660299"}, {"ref": "yuyuhan0306/efficientnetb7-petals", "kernel_id": "11501042"}, {"ref": "sanjitschouhan/flower-classification-on-tpu", "kernel_id": "11193229"}, {"ref": "swapkh91/using-transfer-learning-v1", "kernel_id": "11190716"}, {"ref": "hongym7/ensemble-efficientnetb3-b4-b5-augmetation", "kernel_id": "11412915"}, {"ref": "hongym7/single-mode-efficientnetb3-augmetation", "kernel_id": "11345721"}, {"ref": "atrisaxena/efficientnet-tpu-augmentation-flower-prediction", "kernel_id": "11225265"}, {"ref": "yihdarshieh/detailed-guide-to-custom-training-with-tpus", "kernel_id": "11037630"}, {"ref": "servietsky/pretrained-cnn-epic-fight", "kernel_id": "11521017"}, {"ref": "gianvschiano/random-erasing-mixup-cutmix-tpu-comparison", "kernel_id": "11349837"}, {"ref": "dudewhat/tpu-s-flower-classification-with-xception", "kernel_id": "11852943"}, {"ref": "c7934597/kfold-efficientnet-cutmix-mixup-tta", "kernel_id": "11220203"}, {"ref": "hassan11196/exercise-create-your-first-submission", "kernel_id": "11237035"}, {"ref": "dahouda/flower-classification-with-tpus-keras", "kernel_id": "11122273"}, {"ref": "venkatadj/petal-to-metal", "kernel_id": "11362904"}, {"ref": "brendan45774/how-to-get-the-lowest-score", "kernel_id": "11212188"}, {"ref": "soumochatterjee/cutmix-flower-classification", "kernel_id": "11363561"}, {"ref": "soumochatterjee/mixup-tpu", "kernel_id": "11462553"}, {"ref": "andyden/flowers-with-keras", "kernel_id": "11367077"}, {"ref": "sahabudin9/flower-classification", "kernel_id": "11435804"}, {"ref": "santhoshgoku/nasnet-inceptionresnet-battleground", "kernel_id": "11896796"}, {"ref": "ddmasterdon/flower-classification", "kernel_id": "11043394"}, {"ref": "ljh415/using-tpu", "kernel_id": "11757999"}, {"ref": "rajatkumar794/flowerclassification", "kernel_id": "11129020"}, {"ref": "shashwatrathod/petals2metal-effnetb7", "kernel_id": "11290882"}, {"ref": "ivankalinchuk/flowers-with-deeeeeep-nn-on-tpu", "kernel_id": "11555174"}, {"ref": "elvinagammed/tpu-flower-classification-vgg16", "kernel_id": "11447858"}, {"ref": "elvinagammed/tpu-flower-classification-resnet", "kernel_id": "11448113"}, {"ref": "aman2000jaiswal/exercise-create-your-first-submission", "kernel_id": "11105520"}, {"ref": "shamiulislamshifat/petal-to-metal-flower-predction-on-tpu-with-97", "kernel_id": "11704220"}, {"ref": "tikoboss/test-of-aug-by-tko-okt", "kernel_id": "11315310"}, {"ref": "hughzzw/flower-efficientnetb7-densenet201-0-96", "kernel_id": "11010976"}, {"ref": "atulmishra1596/first-tpu-project", "kernel_id": "11587289"}, {"ref": "yentsai/exercise-create-your-first-submission", "kernel_id": "11251122"}, {"ref": "artemkostrikin/using-tpu-to-classify-colors", "kernel_id": "11414583"}, {"ref": "manishgagrawal/flower-classification-on-tpu", "kernel_id": "11235849"}, {"ref": "fuyixing/flower-classification-on-tpu-with-keras-tuner", "kernel_id": "11172062"}, {"ref": "fuyixing/flower-classification-with-keras-tuner-and-kpl", "kernel_id": "11184095"}, {"ref": "krishnasandeep09/exercise-create-your-first-submission", "kernel_id": "11688366"}, {"ref": "ahmedmurad1990/fc-ensemble-external-data-2", "kernel_id": "11374700"}, {"ref": "rianlee/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "11634419"}, {"ref": "fifantor50/test-of-augmentation-tko-okt", "kernel_id": "11143813"}, {"ref": "xman2020/exercise-create-your-first-submission-d057d2", "kernel_id": "11075579"}, {"ref": "rubix9821/exercise-create-your-first-submission", "kernel_id": "11081037"}, {"ref": "prabhusantoshpanda/exercise-create-your-first-submission", "kernel_id": "11503575"}, {"ref": "abhishektyagi001/tpu-petals-to-metals", "kernel_id": "11857703"}, {"ref": "tomsegal/tom-segal-s-petal-to-the-metal-competition-entry", "kernel_id": "11668540"}, {"ref": "mmadkour/flower-classification-with-tpus-eda-and-baseline", "kernel_id": "12746274"}, {"ref": "nachiket273/pytorch-tpu-vision-transformer", "kernel_id": "12590806"}, {"ref": "himanshuhansaria/hello-tpu-s", "kernel_id": "12343265"}, {"ref": "alexinicab/petals", "kernel_id": "12056946"}, {"ref": "saukha/petals-to-the-metal-flower-classification", "kernel_id": "12700685"}, {"ref": "jagdmir/flower-classification-tpus", "kernel_id": "12787179"}, {"ref": "rollwood/create-your-first-submission", "kernel_id": "12377076"}, {"ref": "lkatran/fork-of-start-with-pre-train", "kernel_id": "12592054"}, {"ref": "lkatran/image-augmentation", "kernel_id": "12663146"}, {"ref": "lkatran/more-data-with-densenet201", "kernel_id": "12688117"}, {"ref": "lkatran/more-data-with-efficientnetb7", "kernel_id": "12689410"}, {"ref": "lkatran/start-with-ensemble-v2", "kernel_id": "12690809"}, {"ref": "lkatran/start-with-ensemble", "kernel_id": "12687093"}, {"ref": "lkatran/start-with-densenet201", "kernel_id": "12686034"}, {"ref": "lkatran/start-w-o-pre-train", "kernel_id": "12255631"}, {"ref": "lkatran/start-with-pre-train", "kernel_id": "12042833"}, {"ref": "lkatran/more-data-with-densenet-v2", "kernel_id": "12766265"}, {"ref": "lkatran/start-with-ensemble-v3", "kernel_id": "12775386"}, {"ref": "volkandl/tpu-cicek-siniflandirmasi-aciklamali-turkce", "kernel_id": "12460661"}, {"ref": "ya10ya10/flower-class", "kernel_id": "12363766"}, {"ref": "ameya98/flower-tpu-finetuning", "kernel_id": "12641759"}, {"ref": "vsablok/image-classification-with-fastai", "kernel_id": "12416065"}, {"ref": "anku5hk/train-efficientnet", "kernel_id": "12028553"}, {"ref": "benihime91/tpu-flowers-pytorch-lightning", "kernel_id": "12737467"}, {"ref": "omkarmb/color-classification", "kernel_id": "12689718"}, {"ref": "shweta2407/flower-classification-using-xception-network", "kernel_id": "12313894"}, {"ref": "catadanna/metal-cnn-architectures", "kernel_id": "12597909"}, {"ref": "kwjcndocjn/flower-petals-different-models-comparison", "kernel_id": "12400713"}, {"ref": "kwjcndocjn/flower-petals", "kernel_id": "12896376"}, {"ref": "nguyenhung1903/tpu-flower", "kernel_id": "12722067"}, {"ref": "nurkasimov/start-w-o-pre-train", "kernel_id": "12359610"}, {"ref": "nurkasimov/start-with-pre-train", "kernel_id": "12512593"}, {"ref": "nurkasimov/start-with-pre-train-79887a", "kernel_id": "12787469"}, {"ref": "tikoboss/augmentation", "kernel_id": "12783015"}, {"ref": "rakkaalhazimi/flowertpu-merged-pretrained", "kernel_id": "12202360"}, {"ref": "safacanmetin/exercise-create-your-first-submission", "kernel_id": "12027367"}, {"ref": "nikitasuharev/image-augmentation", "kernel_id": "12266571"}, {"ref": "sergeyakulich/start-with-pre-train", "kernel_id": "12392626"}, {"ref": "sergeyakulich/notebook1cf87d6468", "kernel_id": "12393699"}, {"ref": "sergeyakulich/start-with-ensemble-v2", "kernel_id": "12959204"}, {"ref": "sergeyakulich/fork-of-notebook1cf87d6468-2965ed", "kernel_id": "12827990"}, {"ref": "dmitrynokhrin/densenet201-aug-additional-data", "kernel_id": "12712310"}, {"ref": "dmitrynokhrin/xception-aug-additional-data", "kernel_id": "12725617"}, {"ref": "dmitrynokhrin/start-with-ensemble-v2", "kernel_id": "12742576"}, {"ref": "dmitrynokhrin/efficientnetb7-aug-additional-data-48f1dd", "kernel_id": "12756464"}, {"ref": "sabindcoster/flower-classification", "kernel_id": "12096421"}, {"ref": "sagnikmazumder37/petals-to-the-metals-tpu", "kernel_id": "12937204"}, {"ref": "shayantaherian/petals-to-the-metal-keras-mobilenet", "kernel_id": "12496441"}, {"ref": "fattahuzzaman/create-your-first-submission", "kernel_id": "12745102"}, {"ref": "rajashreedahal/rpetals-to-the-metal", "kernel_id": "12239850"}, {"ref": "tekayanidham/cutmix-and-mixup-on-gpu-tpu", "kernel_id": "12339479"}, {"ref": "ashishsingh226/flower-classification-simple-model-for-beginners", "kernel_id": "12720567"}, {"ref": "sameepshrestha/petals-classification", "kernel_id": "12235136"}, {"ref": "arnavmehta710a/90acc-flower", "kernel_id": "12575584"}, {"ref": "wgadam/petals-enb7-da-tta-keras", "kernel_id": "12788961"}, {"ref": "sneky369/start-w-o-pre-train", "kernel_id": "12260560"}, {"ref": "sneky369/start-with-pre-train", "kernel_id": "12486043"}, {"ref": "adebelyi/start-w-o-pre-train", "kernel_id": "12261133"}, {"ref": "stanislavkorda/start-w-o-pre-train", "kernel_id": "12962877"}, {"ref": "smirnyaginandr/start-with-pre-train-508d78", "kernel_id": "12919327"}, {"ref": "smirnyaginandr/start-with-pre-train", "kernel_id": "12529735"}, {"ref": "smirnyaginandr/start-w-o-pre-train", "kernel_id": "12534471"}, {"ref": "varlou23/start-with-pre-train", "kernel_id": "12552158"}, {"ref": "varlou23/start-w-o-pre-train", "kernel_id": "12555181"}, {"ref": "varlou23/start-with-pre-train-image-size-experiment", "kernel_id": "12970311"}, {"ref": "varlou23/start-with-pre-train-image-augment-exp", "kernel_id": "12971780"}, {"ref": "matveevayulia/start-w-o-pre-train", "kernel_id": "12548973"}, {"ref": "matveevayulia/start-with-pre-train", "kernel_id": "12647163"}, {"ref": "julessharova/start-with-pre-train-mobilenet", "kernel_id": "12564732"}, {"ref": "julessharova/start-w-o-pre-train", "kernel_id": "12550447"}, {"ref": "julessharova/augmentation-start-with-pre-train-mobilenet", "kernel_id": "12997685"}, {"ref": "denismetelev/start-with-pre-train-c4af96", "kernel_id": "12553169"}, {"ref": "denismetelev/start-w-o-pre-512train", "kernel_id": "12485091"}, {"ref": "denismetelev/start-with-pre-train", "kernel_id": "12508579"}, {"ref": "medvedevlev/start-w-o-pre-train", "kernel_id": "12535127"}, {"ref": "medvedevlev/start-with-pre-train", "kernel_id": "12955693"}, {"ref": "ekaterinazhuikova/notebookce4a333867", "kernel_id": "12617847"}, {"ref": "safonenkomax/start-with-pre-train", "kernel_id": "12536084"}, {"ref": "safonenkomax/start-w-o-pre-train", "kernel_id": "12354523"}, {"ref": "askarliu/data-augmentations-densenet201", "kernel_id": "12838922"}, {"ref": "krashennikovalexandr/start-with-pre-train", "kernel_id": "12419406"}, {"ref": "grudindmitry/start-w-o-pre-train-5548b4", "kernel_id": "12622433"}, {"ref": "grudindmitry/start-w-o-pre-train", "kernel_id": "12622803"}, {"ref": "junnanlu/full-stack", "kernel_id": "13711420"}, {"ref": "georgezoto/computer-vision-petals-to-the-metal", "kernel_id": "13858092"}, {"ref": "nileshsuthar/petal-to-the-metals-all-cnn-models", "kernel_id": "13851697"}, {"ref": "dwarika/flower-classificaton-with-tpu", "kernel_id": "13562497"}, {"ref": "drs251/what-does-the-learning-rate-scheduler-do", "kernel_id": "13945021"}, {"ref": "drs251/petals-to-the-metal-first-try-with-xception", "kernel_id": "13965051"}, {"ref": "drs251/xception-with-data-augmentation", "kernel_id": "13990810"}, {"ref": "ahmedhisham73/petal-flowers-usingresnet152v2", "kernel_id": "13341122"}, {"ref": "drcapa/flower-classification-tpu-tutorial", "kernel_id": "13884075"}, {"ref": "stephenyang0215/petals-to-the-metals", "kernel_id": "13208640"}, {"ref": "huukhue/flower-classification-with-tpus-dataming", "kernel_id": "13862467"}, {"ref": "nurkasimov/start-with-ensemble", "kernel_id": "13366635"}, {"ref": "kirti1992/exercise-create-your-first-submission", "kernel_id": "13609624"}, {"ref": "elmervega/petal-to-metal-v2-0", "kernel_id": "13920182"}, {"ref": "abhishekchikun/create-your-first-submission", "kernel_id": "13722905"}, {"ref": "ameyamote030/tpu-implementation", "kernel_id": "13402305"}, {"ref": "johnspencer98/create-your-first-submission-2", "kernel_id": "13908049"}, {"ref": "prakashr7d/tpu-flower-to-metal", "kernel_id": "13700339"}, {"ref": "ilikedeeplearning/benchmark-submission-v2-no-ensembling", "kernel_id": "13786260"}, {"ref": "shanmukh05/flower-classificaton-tpu", "kernel_id": "13407009"}, {"ref": "rallastav/petals", "kernel_id": "13808803"}, {"ref": "maximkalinin/start-with-ensemble-v2-7711ec", "kernel_id": "13367476"}, {"ref": "sneky369/start-with-ensemble-v2-117b7e", "kernel_id": "13081600"}, {"ref": "sneky369/fork-of-start-with-pre-train", "kernel_id": "13080498"}, {"ref": "vladscherbakov/start-with-ensemble", "kernel_id": "13558595"}, {"ref": "vladscherbakov/start-with-pre-train", "kernel_id": "13432237"}, {"ref": "vladscherbakov/notebook42adc8ec97", "kernel_id": "13407206"}, {"ref": "adebelyi/start-with-ensemble", "kernel_id": "13462264"}, {"ref": "adebelyi/start-with-pre-train", "kernel_id": "13170796"}, {"ref": "yuriromamov/start-with-ensemble-v2", "kernel_id": "13081559"}, {"ref": "yuriromamov/more-data-with-nasnetlarge", "kernel_id": "13196440"}, {"ref": "yuriromamov/more-data-with-densenet201", "kernel_id": "13198271"}, {"ref": "smirnyaginandr/fork-of-start-with-pre-train-508d78", "kernel_id": "13680202"}, {"ref": "varlou23/start-with-ensemble-v2-fde60e", "kernel_id": "13875502"}, {"ref": "matveevayulia/start-with-ensemble-v2", "kernel_id": "13377373"}, {"ref": "matveevayulia/fork-of-start-with-pre-train-255147", "kernel_id": "13357247"}, {"ref": "julessharova/start-with-ensemble-sharova", "kernel_id": "13357670"}, {"ref": "denismetelev/start-with-ensemble", "kernel_id": "13987233"}, {"ref": "medvedevlev/start-with-ensemble-v2", "kernel_id": "13467734"}, {"ref": "adnanraza123/rock-paper-scissors", "kernel_id": "13891336"}, {"ref": "ritik282000/petal-to-the-metals-tpu-tensorflow", "kernel_id": "13501138"}, {"ref": "krashennikovalexandr/start-with-ensemble-v2", "kernel_id": "13756291"}, {"ref": "krashennikovalexandr/fork-of-start-with-pre-train-f57ea6", "kernel_id": "13245296"}, {"ref": "abalizzw/flower-preprocess-public", "kernel_id": "13505301"}, {"ref": "grudindmitry/start-with-pre-train", "kernel_id": "13292818"}, {"ref": "grudindmitry/start-with-ensemble-v2", "kernel_id": "13589735"}, {"ref": "saztorralba/flowerclassification-residualcnn-pyt", "kernel_id": "13133174"}, {"ref": "ashishanantladage/ee258-petmet", "kernel_id": "13099708"}, {"ref": "morganziegler/final-project", "kernel_id": "13387543"}, {"ref": "saranyavasudevan/petals-to-the-metals-competition-3", "kernel_id": "13312612"}, {"ref": "saranyavasudevan/petals-to-the-metals-competition-3-003449", "kernel_id": "13502531"}, {"ref": "saranyavasudevan/fork-of-flower-classification-ensemble-effnet-d", "kernel_id": "13496594"}, {"ref": "veenaveesam/petals-to-the-metals-competition-3", "kernel_id": "13313565"}, {"ref": "dylanmcatee/ee258-project-ii", "kernel_id": "13276457"}, {"ref": "xuanzhihuang/flower-classification-with-efficientnet-b7", "kernel_id": "13709597"}, {"ref": "xuanzhihuang/flower-classification-densenet-201", "kernel_id": "13708786"}, {"ref": "xuanzhihuang/flower-classification-with-densenet-201-revised", "kernel_id": "13965344"}, {"ref": "kennyvan/flower-classification-on-tpu", "kernel_id": "13540576"}, {"ref": "stefankovacs/exercise-create-your-first-submission", "kernel_id": "13237164"}, {"ref": "farrahtaheri/basket-of-flowers-classification", "kernel_id": "13276559"}, {"ref": "dagongren/flower-classification-effnet-densenet", "kernel_id": "13618247"}, {"ref": "tomdickharry/petals-to-the-metals-competition-1", "kernel_id": "13258368"}, {"ref": "muneshwarmca1uoa/metal2petal", "kernel_id": "13981647"}, {"ref": "bhushanaditya/flower-classification-tpu", "kernel_id": "13987600"}, {"ref": "weidongxu/transfer-learning-efficientnet-b0-flowers", "kernel_id": "14185452"}, {"ref": "allunia/differential-evolution", "kernel_id": "14027842"}, {"ref": "faezakamran/create-your-first-submission", "kernel_id": "14143619"}, {"ref": "imabhilash/flowerclassificationusingtpus", "kernel_id": "14332861"}, {"ref": "siddalore/petals-to-metals-using-tpus", "kernel_id": "14178623"}, {"ref": "bineeshsps/flower", "kernel_id": "14899795"}, {"ref": "gabrielbaishev/start-with-ensemble-v2", "kernel_id": "14143013"}, {"ref": "kenshinakamura/petals-to-the-metal-002", "kernel_id": "14136147"}, {"ref": "akataev96/start-with-pre-train-4a9cdd", "kernel_id": "14141754"}, {"ref": "akataev96/start-with-pre-train-0895d8", "kernel_id": "14144790"}, {"ref": "akataev96/start-with-ensemble-v2", "kernel_id": "14153282"}, {"ref": "jmsayson/tpu-petals-to-the-metal", "kernel_id": "14789020"}, {"ref": "vinayharyan/flower-classification-mobilenet", "kernel_id": "14424280"}, {"ref": "heeraldedhia/notebook9422d2fce4", "kernel_id": "14261237"}, {"ref": "gustavomsilva/flower-classification-computer-vision-using-tpu", "kernel_id": "14058075"}, {"ref": "startover205/fastai-2-tpu-getting-started-xla-extension", "kernel_id": "14156994"}, {"ref": "vladwell/flowers-classification-on-tpu", "kernel_id": "14802448"}, {"ref": "andrysazonov/start-with-pre-train", "kernel_id": "14041455"}, {"ref": "denismetelev/start-with-ensemble-v2", "kernel_id": "14014727"}, {"ref": "safonenkomax/start-with-ensemble-v2", "kernel_id": "14009408"}, {"ref": "qramkrishna/petals-to-metal-resnet", "kernel_id": "14050189"}, {"ref": "haojunz/create-your-first-submission", "kernel_id": "14289796"}, {"ref": "wiwiteria/create-your-first-submission", "kernel_id": "14620725"}, {"ref": "datbuidinh/flowerclassificationusingtpus", "kernel_id": "14420047"}, {"ref": "datbuidinh/flower-classification-with-tpus-dataming", "kernel_id": "14573517"}, {"ref": "juliastl/flower-classification-with-densenet201", "kernel_id": "14160233"}, {"ref": "tasneemabdulrahim/a-simple-petals-tf-2-2-notebook", "kernel_id": "14539228"}, {"ref": "jensenanalyst/petals-to-the-metal-submission", "kernel_id": "14843543"}, {"ref": "botian0/flower-prediction-with-tpu", "kernel_id": "15578386"}, {"ref": "sarvajeethaldar/petals-to-the-metal-efficientnete7", "kernel_id": "15833597"}, {"ref": "saukha/flower-cnn-efficientnetb7-aug-external-data", "kernel_id": "15756675"}, {"ref": "emmanuelmess/preliminary-analisys-of-the-dataset", "kernel_id": "15623556"}, {"ref": "vraizen/petals-to-the-metal", "kernel_id": "15058186"}, {"ref": "jerinm/petals-to-the-metal-flower-classification", "kernel_id": "15561312"}, {"ref": "yanngarcia/flower-classification", "kernel_id": "15696136"}, {"ref": "mohammadasimbluemoon/flower-classification-tpu", "kernel_id": "15427630"}, {"ref": "badasss/petals-to-metal-1-incv3", "kernel_id": "15527149"}, {"ref": "kutaykutlu/efficientnetb3-tpu-beginner-ext-data-0-97", "kernel_id": "15720868"}, {"ref": "wangyuren/petalstometal", "kernel_id": "15805616"}, {"ref": "mwilla/petals-to-the-metal-final-cv-course-exercise", "kernel_id": "15715194"}, {"ref": "vamsikrishna500466/first-submission-petal-to-metal", "kernel_id": "15155611"}, {"ref": "pandekp/flower-classification-on-tpu", "kernel_id": "15150608"}, {"ref": "kwanyun/efficient-pre-trained", "kernel_id": "15211441"}, {"ref": "korjmorj/efficientnetb7-x-densenet201-no-augmentation", "kernel_id": "15587702"}, {"ref": "antoreepjana/effnet-b6-flower-classification-tpu", "kernel_id": "15046604"}, {"ref": "antoreepjana/effnet-b7-flower-classification-tpu", "kernel_id": "15046696"}, {"ref": "vlsindhu/fork-of-create-your-first-submission", "kernel_id": "15981482"}, {"ref": "bochrabenjaballah/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "15984727"}, {"ref": "maximesutters/create-your-first-submission", "kernel_id": "15499303"}, {"ref": "saukha/flower-cnn-densenet201-aug", "kernel_id": "16643520"}, {"ref": "saukha/flower-cnn-efftnetb7-imagenet-ra-xd-do-bn", "kernel_id": "16493871"}, {"ref": "saukha/flower-cnn-efftnetb7-imagenet-noaug-exd-batchnorm", "kernel_id": "16239145"}, {"ref": "logicng/flower-baseline", "kernel_id": "16009733"}, {"ref": "pratx557/petals-metals-1-deep-learning-by-kaggle", "kernel_id": "16836544"}, {"ref": "akashsdas/tfrecords-101", "kernel_id": "16657599"}, {"ref": "mrigendraagrawal/tpu-tutorial-vgg16-from-scratch", "kernel_id": "16982956"}, {"ref": "sayantansadhu/tpu-tensorflow-pytorch", "kernel_id": "16398196"}, {"ref": "priyauppala/notebookbf5cdd33e4", "kernel_id": "16082975"}, {"ref": "williamyll/petals-transfer-learning", "kernel_id": "16792832"}, {"ref": "cancan077/kc-im-c-petals", "kernel_id": "16297720"}, {"ref": "ailahmay/61011438-flower-classification-tpu", "kernel_id": "16447724"}, {"ref": "siriyakornsungwol/flowersrecognition-tpu", "kernel_id": "16594023"}, {"ref": "jooern/ensemble-augment-upsizedata-pre-trainedmodels", "kernel_id": "16882641"}, {"ref": "baranikumar/tpu-flowers-classification", "kernel_id": "17557015"}, {"ref": "hicham1984/classification-resnet-pytorch", "kernel_id": "17863751"}, {"ref": "fanbyprinciple/pytorch-using-googlenet-to-see-flowers", "kernel_id": "17509487"}, {"ref": "bhargavrko619/notebook", "kernel_id": "17184527"}, {"ref": "gurujaing/flower-classification-using-tpu", "kernel_id": "17079929"}, {"ref": "ranjeetshrivastav/transfer-learning", "kernel_id": "17112091"}, {"ref": "abhisheksabnis/tpu-flower-clas-ensemble-model-with-advanced-aug", "kernel_id": "17180182"}, {"ref": "georgiisirotenko/pytorch-tpu-baseline-flowers-tranlearning-ensemble", "kernel_id": "17514411"}, {"ref": "isaortya/petals-to-the-metal-deep-learning-with-tpu", "kernel_id": "17411159"}, {"ref": "burakerdoan/create-your-first-submission", "kernel_id": "17269616"}, {"ref": "imumarfarooq/flower-classification-tpus-petals-to-the-metals", "kernel_id": "17095619"}, {"ref": "kmishmael/tpu-flower-classification", "kernel_id": "17691497"}, {"ref": "rimocon/flower-classification", "kernel_id": "17891768"}, {"ref": "m3chd09/flower-classification-on-tpu", "kernel_id": "17912610"}, {"ref": "hayko1995/flower-classification-on-tensorflow", "kernel_id": "18818156"}, {"ref": "hayko1995/fc-ensemble-external-data-effnet-densenet", "kernel_id": "18973887"}, {"ref": "khotijahs1/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "18608579"}, {"ref": "kaundanyachinmaya07/tpu-tutorial-vgg16", "kernel_id": "18347538"}, {"ref": "jillurrahaman/create-your-first-submission", "kernel_id": "18992629"}, {"ref": "nikosraftogiannis/beginner-friendly-transfer-learning-with-xception", "kernel_id": "18376094"}, {"ref": "shunichisasaki3333/petals-to-metal02", "kernel_id": "18621923"}, {"ref": "kusunosetomoki/ftest", "kernel_id": "18581892"}, {"ref": "kusunosetomoki/flowerclassification", "kernel_id": "18553467"}, {"ref": "taoye0527/image-classification-for-flowers-on-tpu", "kernel_id": "18223498"}, {"ref": "justinkerry/flower-classification-on-tpu-justin-kerry", "kernel_id": "18256897"}, {"ref": "vungocbinh/pedals-to-the-metals", "kernel_id": "18026059"}, {"ref": "zohaibkhan5040/petals-to-the-metal-eda-and-classification", "kernel_id": "18441371"}, {"ref": "garai0226/flower", "kernel_id": "18288561"}, {"ref": "tamurayuma/flower-classification-team3", "kernel_id": "18463353"}, {"ref": "matthewjbyun/petals-to-the-metal-project", "kernel_id": "18303549"}, {"ref": "tomorisk/flower-classification-c25531", "kernel_id": "18915639"}, {"ref": "imadaatsuki/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "18241942"}, {"ref": "imadaatsuki/tpu-flower-clas-ensemble-model-with-advanced-aug", "kernel_id": "18241236"}, {"ref": "moritti373737/create-your-first-submission", "kernel_id": "18596557"}, {"ref": "soumafujiwara/notebooka5cbd6f928", "kernel_id": "18590732"}, {"ref": "pzarzycki/petals-to-the-metal-with-tpu", "kernel_id": "18829284"}, {"ref": "rizani/flower-classification-on-tpu", "kernel_id": "19454965"}, {"ref": "a13x10/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "19771126"}, {"ref": "tranhuyhoang8352/flower-classification-on-tpu-with-inception-resnet", "kernel_id": "19220174"}, {"ref": "uwuuw11/flower-classification-inception-resnet-v2-effnetb7", "kernel_id": "19814590"}, {"ref": "umarkholdarbekov/flower-classification", "kernel_id": "19505589"}, {"ref": "anshalsingh/flowers-tpu", "kernel_id": "19091136"}, {"ref": "shakshyathedetector/flower-classification", "kernel_id": "19345229"}, {"ref": "thanhdong18891/flower-classification-tpu", "kernel_id": "19149596"}, {"ref": "kevinleekrus/notebookd04cb8fd2a", "kernel_id": "19017164"}, {"ref": "dacianpeng/petals-to-metal", "kernel_id": "19876262"}, {"ref": "gopalmahadevan/flower-classification-with-tpus", "kernel_id": "20370650"}, {"ref": "samu2505/create-your-first-submission", "kernel_id": "20270725"}, {"ref": "wacholder000/pytorch-no-tpu-flower-classification", "kernel_id": "20417598"}, {"ref": "michaelscheinfeilda/augmentedsubmission", "kernel_id": "20444313"}, {"ref": "lonnieqin/flower-classification-on-tpu", "kernel_id": "20140737"}, {"ref": "mehdisalim/computer-vision-classification-with-on-tpu", "kernel_id": "20981968"}, {"ref": "vijayshankar756/intrototpu", "kernel_id": "20043965"}, {"ref": "michaelisaac15/petal-to-metal-xception-with-finetune-submission03", "kernel_id": "20578498"}, {"ref": "thbalaji/day-18", "kernel_id": "20339924"}, {"ref": "aryansakhala/petals-to-metal", "kernel_id": "20202880"}, {"ref": "evancofsky/flower-classification", "kernel_id": "20535343"}, {"ref": "luongduongminh/effnet-densenet", "kernel_id": "20926801"}, {"ref": "halilkrkn/petals-to-the-metal-flowerclass-on-tpu-tr", "kernel_id": "20502745"}, {"ref": "knightbearr/python-cheat-sheet-knightbearr", "kernel_id": "20121331"}, {"ref": "k3ks1k/start-with-pre-train", "kernel_id": "20786484"}, {"ref": "parikshitsharma2001/fc-ensemble-external-data-effnet-densenet", "kernel_id": "20694940"}, {"ref": "khoaphng/flower-classification-on-tpu-using-keras-and-vgg16", "kernel_id": "20853057"}, {"ref": "wenneton/inceptionv3-for-flower-classification", "kernel_id": "21634190"}, {"ref": "andreamonique/flower-classification-with-a-simple-cnn", "kernel_id": "21634639"}, {"ref": "ipythonx/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "21320383"}, {"ref": "rborder/tpu-flower-classification", "kernel_id": "21322569"}, {"ref": "syafia/create-your-first-submission", "kernel_id": "21224439"}, {"ref": "muhammadali14/flower-classification-on-tpu", "kernel_id": "21802209"}, {"ref": "paulorenatorodrigues/create-your-first-submission", "kernel_id": "21173060"}, {"ref": "cjchong/create-your-first-submission", "kernel_id": "21219442"}, {"ref": "ericoliveiragomes/transfer-learning-gpus-e-tpus-beedata", "kernel_id": "21537604"}, {"ref": "patipanrattanawin/flower-classification", "kernel_id": "21378705"}, {"ref": "somenathchakraborty1/flower-classification-using-keras", "kernel_id": "21248304"}, {"ref": "sk4ddd/gpu-xception-simple-data-augmentation", "kernel_id": "21251738"}, {"ref": "oknashar/flower-classification-using-tensorflow", "kernel_id": "21763326"}, {"ref": "farhanmalik371/flower-classification", "kernel_id": "21503380"}, {"ref": "brumey/fine-grained-flower-classification-with-tpu", "kernel_id": "21504463"}, {"ref": "mahditavakol/petals2metal-tpu", "kernel_id": "21096398"}, {"ref": "khoaphng/model-efficientnetb7", "kernel_id": "21076915"}, {"ref": "harshraone/flower-classification", "kernel_id": "21968396"}, {"ref": "amanjyotideka/tpu-flower-keras", "kernel_id": "21711090"}, {"ref": "pavan9065/explore-a-simple-petals-tf-2-2-notebook", "kernel_id": "22483693"}, {"ref": "kotcha/effnetb7-petals-to-the-metal", "kernel_id": "22059371"}, {"ref": "saraswatitiwari/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "22509135"}, {"ref": "graudfaye/petals-to-the-metal-dl-project", "kernel_id": "22383141"}, {"ref": "pritamkumarmehta/fctpu", "kernel_id": "22633725"}, {"ref": "pritamkumarmehta/densenet201", "kernel_id": "22931237"}, {"ref": "pritamkumarmehta/notebook6d98a9823b", "kernel_id": "22907547"}, {"ref": "bachaboos/cutmix-and-mixup-on-gpu-tpu-b1f510", "kernel_id": "22531584"}, {"ref": "rialele/create-your-first-submission-59d398", "kernel_id": "22817542"}, {"ref": "amartyamukherjee/efficientnet-v2-xl-flower-classification", "kernel_id": "22114999"}, {"ref": "imajoc/flower-cnn", "kernel_id": "22000851"}, {"ref": "rimocon/flower-classification-using-learned-model", "kernel_id": "22812459"}, {"ref": "debodeepbanerjee/notebook1024c827dd", "kernel_id": "22871669"}, {"ref": "teeratatperomtukorn/practice-rotation-augmentation-gpu-tpu-0-96", "kernel_id": "22142853"}, {"ref": "alexclaggett/final", "kernel_id": "22471227"}, {"ref": "setthawutkulsrisuwan/create-your-first-submission", "kernel_id": "22980613"}, {"ref": "zephyr44/fixres-on-efficientnetb7", "kernel_id": "22164897"}, {"ref": "dalevailankanni/fc-tpu-petals-to-the-metal", "kernel_id": "22640722"}, {"ref": "savitarathore/fctpu-50a232", "kernel_id": "22868297"}, {"ref": "savitarathore/flower-classification-tpu", "kernel_id": "22836088"}, {"ref": "islamyousry/petals-the-metal", "kernel_id": "23784991"}, {"ref": "sytuannguyen/tpu-for-flower-classification", "kernel_id": "23703220"}, {"ref": "swanandkulkarni1729/petals-to-the-metal-with-custom", "kernel_id": "23720937"}, {"ref": "swanandkulkarni1729/petals-to-metal-with-vgg16", "kernel_id": "23890191"}, {"ref": "lilkamal/petals-to-the-metal", "kernel_id": "23697470"}, {"ref": "mohamedsabra/notebookf17ba0a7ac", "kernel_id": "23718485"}, {"ref": "sabbo26/flower-classification", "kernel_id": "23817074"}, {"ref": "nadaahmed22/flower-classification", "kernel_id": "23826402"}, {"ref": "y2o3m4n/notebook553853a8aa", "kernel_id": "23821116"}, {"ref": "insignificantguy/explore-a-simple-petals-tf-2-2-notebook", "kernel_id": "23435570"}, {"ref": "savitarathore/flowerclassification-tpu", "kernel_id": "23300936"}, {"ref": "savitarathore/fctpu-more-dataset", "kernel_id": "23384598"}, {"ref": "savitarathore/tpu-with-validation", "kernel_id": "23441623"}, {"ref": "aymanm419/a-simple-petals-tf-2-2-notebook", "kernel_id": "23743600"}, {"ref": "aymanm419/a-simple-petals-tf-2-2-notebook-5d445f", "kernel_id": "23745978"}, {"ref": "aymanm419/a-simple-petals-tf-2-2-notebook-54ad18", "kernel_id": "23743704"}, {"ref": "aymanm419/fork-of-a-simple-petals-tf-2-2-notebook-5d4-88ff7f", "kernel_id": "23750804"}, {"ref": "andrewadelsanad/lab-4", "kernel_id": "23772070"}, {"ref": "marwanashrafgouda/lab-4", "kernel_id": "23780884"}, {"ref": "yyooommeellsso/notebook2aa0b160f3", "kernel_id": "23823104"}, {"ref": "nicolasmaillet/a-simple-petals-tf-2-2-notebook-nma", "kernel_id": "23975402"}, {"ref": "christianhritter/flowerclass-eda1", "kernel_id": "24604128"}, {"ref": "christianhritter/flowerclass-read-tf-ds", "kernel_id": "24783357"}, {"ref": "ging21/petals", "kernel_id": "24293667"}, {"ref": "umidjono/densenet201-weight-by-class-nadam", "kernel_id": "24762056"}, {"ref": "locguillois/projet-kaggle-petals-to-metal", "kernel_id": "24194199"}, {"ref": "odins0n/jax-flax-tf-data-vision-transformers-tutorial", "kernel_id": "24813451"}, {"ref": "shivanisinghal/flower-classification-on-tpu", "kernel_id": "24851118"}, {"ref": "archilberidze/project257", "kernel_id": "24775009"}, {"ref": "michiexile/mvj-first-sample-solution", "kernel_id": "25408188"}, {"ref": "christianhritter/flowerclass-efficientnetv2-2", "kernel_id": "25082115"}, {"ref": "christianhritter/flowerclass-efficientnetv2-2-analysis", "kernel_id": "25142981"}, {"ref": "christianhritter/flowerclass-efficientnetv2-2-analysis3-kernelshap", "kernel_id": "25670826"}, {"ref": "christianhritter/flowerclass-efficientnetv2-2-analysis3-anchors", "kernel_id": "25706752"}, {"ref": "christianhritter/flowerclass-efficientnetv2-2-analysis3-lime", "kernel_id": "25651545"}, {"ref": "christianhritter/flowerclass-explainableai-methods", "kernel_id": "25952196"}, {"ref": "christianhritter/flowerclass-efficientnetv2-2-analysis2-imgvis", "kernel_id": "25608344"}, {"ref": "easara/devoxxma22-inspect-your-model", "kernel_id": "25547386"}, {"ref": "lkatran/image-augmentation-ptm", "kernel_id": "25695860"}, {"ref": "robertturro/flower-classification-on-tpu", "kernel_id": "25883976"}, {"ref": "suthema/petalstometalcompetition", "kernel_id": "25053306"}, {"ref": "k0mp0t/start-with-pre-train", "kernel_id": "25648525"}, {"ref": "jamilahfoucher/classifying-flowers", "kernel_id": "25162360"}, {"ref": "stuksed/my-start-w-o-pre-train", "kernel_id": "25824474"}, {"ref": "subrahmanyajoshi/tf-densenet121-flower-type-classification", "kernel_id": "25969357"}, {"ref": "subrahmanyajoshi/tf-xception-flower-type-classification", "kernel_id": "25771556"}, {"ref": "myncoder0908/flowers-classification-transfer-learning", "kernel_id": "25848297"}, {"ref": "tobymallon/a-simple-petals-tf-2-2-notebook", "kernel_id": "25799091"}, {"ref": "dylancontractor/identification-of-flowers", "kernel_id": "25802245"}, {"ref": "mosummers/petals-to-the-metal-cv-project", "kernel_id": "25016863"}, {"ref": "nikitaryabukhin/net-pentals-new", "kernel_id": "25750351"}, {"ref": "michiexile/mvj-following-petals-2a", "kernel_id": "26057949"}, {"ref": "roguekk007/flax-model-surgery", "kernel_id": "26058732"}, {"ref": "roguekk007/pytorch-friendly-comprehensive-jax-tpu-intro", "kernel_id": "26032810"}, {"ref": "nextroot/tpu-flower", "kernel_id": "26965732"}, {"ref": "ominaik/project", "kernel_id": "26668658"}, {"ref": "jirkaborovec/starter-flash-image-classification-on-tpu", "kernel_id": "26988145"}, {"ref": "rhythmcam/petals-to-metal-tpu-gpu", "kernel_id": "26878458"}, {"ref": "pauljmello/group-project", "kernel_id": "26680727"}, {"ref": "manishyadav51/tf-modelscompared-tpu", "kernel_id": "26148603"}, {"ref": "mithilparmar09/cmpe-257-project", "kernel_id": "26435629"}, {"ref": "stuksed/my-start-with-pre-train", "kernel_id": "26472825"}, {"ref": "adambougaev/bing-chilling", "kernel_id": "26179523"}, {"ref": "adambougaev/mvj-following-petals-2a", "kernel_id": "26904951"}, {"ref": "nikitaryabukhin/new-pentals-pre-train", "kernel_id": "26149466"}, {"ref": "ilyavoronin228/start-w-o-pre-train", "kernel_id": "26286514"}, {"ref": "florianm/pytorch-convnext", "kernel_id": "27792115"}, {"ref": "defcodeking/transfer-learning-on-tpu-score-0-88295", "kernel_id": "27678003"}, {"ref": "biene94/flower-classification", "kernel_id": "27540321"}, {"ref": "nextroot/short-resnet-pytorch-tpu", "kernel_id": "27072761"}, {"ref": "rinichristy/petals-to-the-metal-w-densenet201", "kernel_id": "27986273"}, {"ref": "rinichristy/petals-to-the-metal-w-inceptionresnetv2", "kernel_id": "27966160"}, {"ref": "thnhtrntn/flower-classification", "kernel_id": "27532793"}, {"ref": "atulsharma287/petals-metals-settles-tpu", "kernel_id": "27558512"}, {"ref": "parkjohnychae/learn-how-to-take-a-closer-look-into-tfrecord", "kernel_id": "27121337"}, {"ref": "suomalili/flower-classification-with-tpus-eda-and-baseline", "kernel_id": "27699778"}, {"ref": "ngfd44/start-w-o-pre-train", "kernel_id": "27510608"}, {"ref": "ngfd44/start-with-pre-train", "kernel_id": "27565486"}, {"ref": "abhinandanreddy/petals-to-the-metal-fc-on-tpu-inception", "kernel_id": "27127711"}, {"ref": "abhinandanreddy/petals-to-the-metal-fc-on-tpu-resnet50", "kernel_id": "27128052"}, {"ref": "abhinandanreddy/petals-to-the-metal-fc-on-tpu-xception", "kernel_id": "27126324"}, {"ref": "pankajkumar2002/petals-to-metal-with-tensorflow", "kernel_id": "27456849"}, {"ref": "lightyyy/petals-to-the-metal-dataset", "kernel_id": "27082093"}, {"ref": "humanee/pre-train", "kernel_id": "27516105"}, {"ref": "humanee/w-o-pre-train", "kernel_id": "27516109"}, {"ref": "ilyavoronin228/start-with-pre-train", "kernel_id": "27509270"}, {"ref": "werus23/petals-to-the-metal-tutorial-ensemble", "kernel_id": "27144663"}, {"ref": "funnycharlie/my-with-pre-train", "kernel_id": "27725090"}, {"ref": "funnycharlie/my-w-o-pre-train", "kernel_id": "27724875"}, {"ref": "ermolenkoalex/new-notebook", "kernel_id": "27572909"}, {"ref": "ermolenkoalex/new-notebook-pre-train", "kernel_id": "27572939"}, {"ref": "xinzhigo/mobilenetv3small-tf", "kernel_id": "27935397"}, {"ref": "rasikagurav/petals-to-metals", "kernel_id": "28946822"}, {"ref": "anantdashpute/first-submission", "kernel_id": "28158070"}, {"ref": "victoriazeruk/flower-classification-on-tpu", "kernel_id": "28777415"}, {"ref": "wengpeihe/basic-flower-prediction", "kernel_id": "28151945"}, {"ref": "jamijubaer/first-submission-with-tpu", "kernel_id": "28473963"}, {"ref": "kazutoshindo/notebook42cf54d3d3", "kernel_id": "28619577"}, {"ref": "chankhavu/export-dataset", "kernel_id": "29362571"}, {"ref": "himaniattri/tf-hybrid-efficientnet-swintransformer-himani", "kernel_id": "29991526"}, {"ref": "irhamta/identifying-the-flowers-with-efficientnet", "kernel_id": "29777343"}, {"ref": "shibumohapatra/petals-to-the-metal-by-shibu", "kernel_id": "29916963"}, {"ref": "evanshlom/petals-to-the-metal-1-w-tpu-ipynb", "kernel_id": "29741137"}, {"ref": "dngngy/resnet-flower-classicfication", "kernel_id": "29899589"}, {"ref": "francescoliveras/pttm-flower-class-es-en-tpu", "kernel_id": "29596395"}, {"ref": "fayzerr/flower-classification-on-tpu-using-cnn-models", "kernel_id": "30725584"}, {"ref": "kaiquanmah/a-simple-petals-tf-2-2-notebook", "kernel_id": "30653237"}, {"ref": "irhamta/classifying-the-flowers-with-efficientnetv2", "kernel_id": "30046208"}, {"ref": "puzablo/petals-to-the-metal-transfer-learning-on-xception", "kernel_id": "30209306"}, {"ref": "amyhewitt/create-your-first-submission", "kernel_id": "30951477"}, {"ref": "trnduythanhkhttt/term-project-image-classification-on-tpu-pytorch", "kernel_id": "30088095"}, {"ref": "munch17/flowerclassification-tpu-tfrdataset-ipynb", "kernel_id": "30365256"}, {"ref": "michaelhu12/flower-classification", "kernel_id": "30922563"}, {"ref": "rizkia14/a-complete-guide-to-k-nearest-neighbours", "kernel_id": "30958103"}, {"ref": "subidit/petals-to-the-metal", "kernel_id": "31938250"}, {"ref": "arti1117/petals-to-the-metal", "kernel_id": "31199501"}, {"ref": "dev122/tpu-petals-to-metals-95-accuracy", "kernel_id": "31896649"}, {"ref": "rafaelbaez/testnotebook", "kernel_id": "31914236"}, {"ref": "abdurrahmanfahad/notebookaf25426072", "kernel_id": "31724406"}, {"ref": "shivam2111/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "31992790"}, {"ref": "issacrivas/deep-learning-project", "kernel_id": "31872267"}, {"ref": "ahmeturunveren/flowerclassificationwithtpu", "kernel_id": "31944816"}, {"ref": "omarkhd99/flowers", "kernel_id": "31909743"}, {"ref": "lingyixia/resnet18-base", "kernel_id": "32790158"}, {"ref": "sravanneeli/tensorflow-distributed", "kernel_id": "32745752"}, {"ref": "victorblai/ptm-aml-project", "kernel_id": "32308297"}, {"ref": "victorblai/ptm-augment", "kernel_id": "32725438"}, {"ref": "chandruuk/petals-to-the-metal", "kernel_id": "32081231"}, {"ref": "rajvell/kranthiv1", "kernel_id": "32982398"}, {"ref": "larjeck/flower-classification-with-accelerator", "kernel_id": "32358959"}, {"ref": "thuliuxinlong/ensemble", "kernel_id": "32523972"}, {"ref": "dengxianxu/create-your-first-submission", "kernel_id": "32137578"}, {"ref": "melih119/create-your-first-submission", "kernel_id": "32442938"}, {"ref": "leoangelodevelos/experiment-2-flowers-classification", "kernel_id": "32016066"}, {"ref": "lovemm/petals-to-the-metal", "kernel_id": "32485969"}, {"ref": "megalino111/create-your-first-submission", "kernel_id": "33099638"}, {"ref": "sahithiampolu/first-tpu-notebook", "kernel_id": "33272032"}, {"ref": "alexandertokarev/petals-inceptionv3", "kernel_id": "33451762"}, {"ref": "alexandertokarev/petals-efficientnetb7", "kernel_id": "33451852"}, {"ref": "alexandertokarev/petals-densenet201", "kernel_id": "33446956"}, {"ref": "alexandertokarev/petals-ensemble", "kernel_id": "33447316"}, {"ref": "alirasheed1/rotation-augmentation", "kernel_id": "33014985"}, {"ref": "shreyasdomde/flower-classification", "kernel_id": "33751772"}, {"ref": "satyampandey4229/petal-to-metal", "kernel_id": "33935591"}, {"ref": "ylenialongo/create-your-first-submission", "kernel_id": "33930797"}, {"ref": "mahshad426/ciproject1", "kernel_id": "33608145"}, {"ref": "hashinclud3/notebookab686eaf2e", "kernel_id": "33790476"}, {"ref": "noviaps/petal-to-metal", "kernel_id": "33860072"}, {"ref": "rbhambri/petals-classifier-prediction", "kernel_id": "34203053"}, {"ref": "alenic/tfrecords-to-png-csv", "kernel_id": "34754658"}, {"ref": "francescofran/cnn-based-and-vision-transformer-models", "kernel_id": "34317977"}, {"ref": "atshimamura/jpn-data-augmentation-with-keras", "kernel_id": "34487249"}, {"ref": "atshimamura/jpn-getting-started-with-keras", "kernel_id": "34361311"}, {"ref": "atshimamura/jpn-loading-tfrecord", "kernel_id": "34633653"}, {"ref": "adityapotdar23/flower-classification-on-tpu", "kernel_id": "34742732"}, {"ref": "kattat/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "34493080"}, {"ref": "oenvespa/petals-to-the-metal-on-tpu", "kernel_id": "34785207"}, {"ref": "dettaup/petal-to-metal", "kernel_id": "34318118"}, {"ref": "christiansoltermann/flower-notebook", "kernel_id": "34591463"}, {"ref": "atshimamura/jpn-getting-started-with-keras-grayscale", "kernel_id": "35051736"}, {"ref": "denizh98/create-your-first-submission", "kernel_id": "35549070"}, {"ref": "davidjenkins13/flower-categorization", "kernel_id": "35620728"}, {"ref": "babluprasadyadav/flower-name-detection-using-image-on-tpu", "kernel_id": "35263702"}, {"ref": "shyamalingamallu/31211petalstoflowers", "kernel_id": "35155904"}, {"ref": "saigangadharg/2000032182-dl-gc-01", "kernel_id": "35247081"}, {"ref": "dhanushreddytummuru/31864petalstoflowers", "kernel_id": "35280817"}, {"ref": "alexishenko/pytorch-resnet-variants-orchestration", "kernel_id": "35184690"}, {"ref": "gregmadden/flowers-grm7q2", "kernel_id": "35541054"}, {"ref": "gregmadden/flowers-grm7q", "kernel_id": "35511485"}, {"ref": "petrosangelis/create-your-first-submission", "kernel_id": "35710745"}, {"ref": "mliammm/notebookdc426d2e5a", "kernel_id": "35782604"}, {"ref": "justinsiow/transfer-learning-with-tpu", "kernel_id": "35123375"}, {"ref": "christiansoltermann/flower-2", "kernel_id": "35987743"}, {"ref": "gpreda/metal-flower-eda-pytorch-gpu-efficientnetb0", "kernel_id": "36101762"}, {"ref": "nablabits/rotation-augmentation", "kernel_id": "36338809"}, {"ref": "thejaniyapa/a-simple-petals-tf-2-2-notebook", "kernel_id": "36499314"}, {"ref": "umongsain/efficientnetb0-tpu-pytorch", "kernel_id": "36183767"}, {"ref": "umongsain/lb-0-9423-efficientnetb0-on-gpu-pytorch", "kernel_id": "36214489"}, {"ref": "anamariamidoripreda/efficientnet-fine-tuning", "kernel_id": "36143776"}, {"ref": "k2000031829/notebookad3bccb5a0", "kernel_id": "36835066"}, {"ref": "jocelyndumlao/flower-classification-on-tpu", "kernel_id": "36752478"}, {"ref": "eminserkanerdonmez/petal-to-the-metal", "kernel_id": "36929597"}, {"ref": "jameswreh/a-simple-petals-tf-2-2-notebook", "kernel_id": "36848790"}, {"ref": "iabdulw/create-your-first-submission", "kernel_id": "36298082"}, {"ref": "minhchaule/le-mn-petals-to-metal-20230329", "kernel_id": "36600867"}, {"ref": "laraiki/bl-petals-to-the-metal", "kernel_id": "36547083"}, {"ref": "nadishachowdhury/nadisha-s-first-petals-to-the-metal-submission", "kernel_id": "36527708"}, {"ref": "nadishachowdhury/nadisha-second-petals-to-the-metal-submission", "kernel_id": "36813001"}, {"ref": "ilyas0/petals-to-the-metal", "kernel_id": "36803726"}, {"ref": "naojiroueno/petals-to-the-metal", "kernel_id": "36995321"}, {"ref": "achinih/flower-classification-cnn-models", "kernel_id": "36780688"}, {"ref": "xiefei/create-your-first-submission", "kernel_id": "37347539"}, {"ref": "faithnchifor/a-simple-petals-tf-2-2-notebook", "kernel_id": "37544654"}, {"ref": "joshuapeddle/petal-identifier", "kernel_id": "37960608"}, {"ref": "jacksontangqunyao/cnn-petals-to-the-metal", "kernel_id": "37158781"}, {"ref": "matthewkoltunov/flower-classification-pretrain", "kernel_id": "37822107"}, {"ref": "rithvikkakkireni/flower-2-603101", "kernel_id": "37298391"}, {"ref": "vachanvy/dog-breed-classification", "kernel_id": "37043115"}, {"ref": "laurenodonnell92/lo-fc-ensemble-external-data-effnet-densenet", "kernel_id": "37806024"}, {"ref": "pechenkanepnep/petal-of-the-metal-old-tpu", "kernel_id": "37700075"}, {"ref": "computervisi/predict-models-densenet201", "kernel_id": "37614123"}, {"ref": "gpreda/metal-flower-efficientnet-kaggle-model", "kernel_id": "38296908"}, {"ref": "annamowat/petals-to-the-metal-anna", "kernel_id": "38781395"}, {"ref": "shroddhaghosh/petals-classification-tfrec-files", "kernel_id": "38742764"}, {"ref": "nikodemw/create-your-first-submission", "kernel_id": "38850110"}, {"ref": "dmtnikolaev/notebookc5013678b3", "kernel_id": "38895512"}, {"ref": "matthewkoltunov/flower-classification", "kernel_id": "38593706"}, {"ref": "drhtchen/gradienterbubble", "kernel_id": "38653351"}, {"ref": "pechenkanepnep/petal-of-metal-2-gpu", "kernel_id": "38425115"}, {"ref": "ysy211979/flowers", "kernel_id": "38359557"}, {"ref": "dipshi12/dipendra-petal-to-the-metal-notebook", "kernel_id": "38823339"}, {"ref": "jiggypepper/petals-to-the-metal", "kernel_id": "38529607"}, {"ref": "tossimmar/efficientnet-bayesian-hyper-parameter-optimization", "kernel_id": "39983808"}, {"ref": "yunxing0601/flower-classification-yx", "kernel_id": "39282351"}, {"ref": "u288023589/densenet201", "kernel_id": "39128697"}, {"ref": "u288023589/efficientnetb7", "kernel_id": "39137285"}, {"ref": "u288023589/cutmix-and-mixup-on-gpu-tpu-7caffa", "kernel_id": "39170135"}, {"ref": "namunagetahun/001-petal-to-the-metal-ngk", "kernel_id": "39504902"}, {"ref": "jiahuilee12138/flower-classification-with-tpus-eda-and-baseline", "kernel_id": "39009904"}, {"ref": "acepheus/petals-to-the-metal-predict", "kernel_id": "39568469"}, {"ref": "mainaksil/create-your-first-submission", "kernel_id": "39567401"}, {"ref": "krishnadave99/notebook945247c579", "kernel_id": "39659109"}, {"ref": "guoxinfeng/123456", "kernel_id": "39544559"}, {"ref": "danieleerbi/opening-tfrecord-files-in-python", "kernel_id": "39024589"}, {"ref": "azadavar/i-ek-s-n-fland-rma-idu", "kernel_id": "39598221"}, {"ref": "utsav1234/flower-petal-classification", "kernel_id": "40639270"}, {"ref": "tosyama/flower-classification-on-tpu-vgg16", "kernel_id": "40142630"}, {"ref": "dendyandra/flower-classification-with-tpu", "kernel_id": "40410599"}, {"ref": "vladislavshevchenko/pytorch-flower-classification-without-tpu", "kernel_id": "40441439"}, {"ref": "faptimus420/flower-classification-w-vision-transformers-wip", "kernel_id": "40257550"}, {"ref": "ashishjagdishsharma/petal-to-metal", "kernel_id": "40782996"}, {"ref": "rauljorda/my-petal-for-the-medal", "kernel_id": "40397349"}, {"ref": "chandrahasdhiraj/petals-to-the-metals-using-cnn-on-tpu", "kernel_id": "41488116"}, {"ref": "benotroussel/petals-to-the-metal-0-9621", "kernel_id": "41522547"}, {"ref": "derrekdevon/notebookc64cbdc84c", "kernel_id": "41943405"}, {"ref": "atamazian/fc-swin-large-with-external-data", "kernel_id": "42650483"}, {"ref": "pavelgordeychuk/petals-to-the-metal-with-densenet201", "kernel_id": "42450754"}, {"ref": "kumarjijnasu/kj-flower-classification-tpu", "kernel_id": "42798090"}, {"ref": "onwunyichisomebi/create-your-first-submission", "kernel_id": "42442110"}, {"ref": "bhatnagardaksh/neural-network-from-scratch-numpy-pandas", "kernel_id": "42501953"}, {"ref": "ahmedelashrybdm/flowers-classifier", "kernel_id": "42705320"}, {"ref": "enricomanosperti/convert-tfrecord-to-jpg-for-flower-classification", "kernel_id": "42289045"}, {"ref": "seoyuni/seoyun", "kernel_id": "42640450"}, {"ref": "kalakagat/single-model-training", "kernel_id": "42076894"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "milosz7/flower-classification-with-tpu", "kernel_id": "42779948"}, {"ref": "geoffreybeulque/petal-to-the-metal-xception", "kernel_id": "42129023"}, {"ref": "mohammedfaheem0803/flower-classification", "kernel_id": "42398585"}, {"ref": "neelipraveen2/deeplearning-notebook", "kernel_id": "42718616"}, {"ref": "e008001/create-your-first-submission", "kernel_id": "43755502"}, {"ref": "adikaboost/transfer-learning-efficientnet-pytorch", "kernel_id": "43156495"}, {"ref": "nickuzmenkov/petals-to-the-metal-tf-efficientnet-baseline", "kernel_id": "43870923"}, {"ref": "witoldnowogrski/flowers-classification-shufflenet-pytorch", "kernel_id": "43128635"}, {"ref": "solankirahulfr/image-classification-transferlearning-densenet", "kernel_id": "43723703"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "talhabarkaatahmad/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "43334186"}, {"ref": "chanduprasadma/notebook4a6d1573c7", "kernel_id": "43112738"}, {"ref": "srinathrm/notebookd0c3f791ee", "kernel_id": "43491320"}, {"ref": "antoniozs/swinlarge-plus-external-data", "kernel_id": "44708587"}, {"ref": "shubham531/plants", "kernel_id": "44653865"}, {"ref": "zoexss/prediction-vgg16-on-tpu", "kernel_id": "44853375"}, {"ref": "alienster/create-your-first-submission", "kernel_id": "44599999"}, {"ref": "harshsoni2001/petals-to-metal-using-densenet", "kernel_id": "44782706"}, {"ref": "evrendurmus/prediction-of-flowers-combining-3-sequential", "kernel_id": "44164993"}, {"ref": "buddha2/notebook8c370cd531", "kernel_id": "44216408"}, {"ref": "bing2000/xception-al-xmen", "kernel_id": "44413669"}, {"ref": "kr2002/create-your-first-submission", "kernel_id": "45575184"}, {"ref": "gungunsingh/justtry", "kernel_id": "45599396"}, {"ref": "akekowsik/prediction-of-flowers-combining-3-sequential", "kernel_id": "45345301"}, {"ref": "heshamzaky/final", "kernel_id": "45763510"}, {"ref": "titan22903/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "45808647"}, {"ref": "harshsoni2001/flower-classication-with-transferlearning", "kernel_id": "45123353"}, {"ref": "channingfisher/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "45634104"}, {"ref": "staratnyte/petals-to-the-metal-enet-densenet", "kernel_id": "46338867"}, {"ref": "staratnyte/petals-to-the-metal-densenet201", "kernel_id": "46299005"}, {"ref": "staratnyte/petals-to-the-metal-efficientnetb7", "kernel_id": "46234077"}, {"ref": "saihemanth14/petal-to-the-metal-flower-classification", "kernel_id": "46099752"}, {"ref": "meetshah6338/petals-to-the-metals", "kernel_id": "46062794"}, {"ref": "sh4nky/create-your-first-submission", "kernel_id": "46248075"}, {"ref": "paavalipopov/dip-project", "kernel_id": "46881105"}, {"ref": "ivanlydkin/computer-vision-course-practical-guide", "kernel_id": "46211711"}, {"ref": "maso0dahmed/predicting-different-types-of-flowers", "kernel_id": "46036830"}, {"ref": "vinodpgowda/final", "kernel_id": "46110728"}, {"ref": "hbkuali/flowers-final-attempt", "kernel_id": "46942822"}, {"ref": "fraz210049884/dl-project-densenet201", "kernel_id": "46970573"}, {"ref": "fraz210049884/dl-project-densenet169", "kernel_id": "46923048"}, {"ref": "fraz210049884/dl-project-densenet121", "kernel_id": "46853673"}, {"ref": "aditrichaudhari/flower-classification-1", "kernel_id": "46047873"}, {"ref": "venkatakeerthimatta/petaltometal-image-classification-with-mobilenetv2", "kernel_id": "46110631"}, {"ref": "sevithajanga/petals-1-sevitha", "kernel_id": "46048305"}, {"ref": "ruthwikgangavelli/petals-to-metals", "kernel_id": "46102146"}, {"ref": "jacobfilm/ds-5220-submission-notebook-petals-to-the-metal", "kernel_id": "46887221"}, {"ref": "deepthipuvvada/flower-species-identification-using-cnn", "kernel_id": "46000622"}, {"ref": "maxenceleguery/flowers-to-the-moon", "kernel_id": "46632738"}, {"ref": "guntupallimanasviiii/flower-classification-on-tensor-processing-unit", "kernel_id": "46063858"}, {"ref": "shubakov/notebookbd82f89b88", "kernel_id": "47467473"}, {"ref": "shubakov/notebookaff53d7b3e", "kernel_id": "47468928"}, {"ref": "nicole2kim/efficientnetb1", "kernel_id": "47928910"}, {"ref": "danilsaidyllin/notebookf259bfdd02", "kernel_id": "47466801"}, {"ref": "danilsaidyllin/notebook47927ea7fb", "kernel_id": "47595357"}, {"ref": "levsaenko/choose-model", "kernel_id": "47973619"}, {"ref": "levsaenko/lab4-v2", "kernel_id": "47580241"}, {"ref": "levkhudorozhkov/hudorozhkov-withpremodel", "kernel_id": "47393045"}, {"ref": "alexdyuzhev/with-pretrain", "kernel_id": "47634661"}, {"ref": "alexdyuzhev/notebook3dacd27bef", "kernel_id": "47590059"}, {"ref": "makarshatilov/notebook142d85ccd0", "kernel_id": "47546528"}, {"ref": "makarshatilov/create-your-first-submission", "kernel_id": "47027417"}, {"ref": "davidchilingaryan/notebookf259bfdd2", "kernel_id": "47875030"}, {"ref": "gsbjtuczy/the-first-test", "kernel_id": "47028949"}, {"ref": "rafaaalalwani/project-swin-b", "kernel_id": "47195762"}, {"ref": "venkatasaiv96/densenet-model-ashok", "kernel_id": "47110075"}, {"ref": "syedjarullahhisham/ptom-extdata-effnet-densenet-xceptnet-ensemble", "kernel_id": "48690758"}, {"ref": "shreyasdesai/first-submissions", "kernel_id": "48664342"}, {"ref": "vladislavmelnikov/notebook477531fc9b", "kernel_id": "48093806"}, {"ref": "vladislavmelnikov/notebook7cb2dfae30", "kernel_id": "48084141"}, {"ref": "kushagrapandya/getting-started-with-tpus", "kernel_id": "48986943"}, {"ref": "golikovandrey/notebookffa59e2c62", "kernel_id": "48521811"}, {"ref": "maximkosarev/start-pre-train-kosarev", "kernel_id": "48630162"}, {"ref": "maximkosarev/start-w-o-pre-train-kosarev-me", "kernel_id": "48601357"}, {"ref": "davidchilingaryan/notebook5d3d4da7c3", "kernel_id": "48003310"}, {"ref": "ark196/p-t-m2", "kernel_id": "48191812"}, {"ref": "ark196/petals-to-the-metal", "kernel_id": "48178668"}, {"ref": "novoseloviliatomsk/notebookca31d6b316", "kernel_id": "48855711"}, {"ref": "ctakan4ik/notebookdd83ce97a3", "kernel_id": "49749495"}, {"ref": "sslv90/notebookf259bfdd2", "kernel_id": "49990107"}, {"ref": "antrabansal/notebooke18d229381", "kernel_id": "49498329"}, {"ref": "tanishqdublish/petals-to-metals", "kernel_id": "49471839"}, {"ref": "harshshinde8/petals-to-the-metal-flower-classification-tpu", "kernel_id": "49914465"}, {"ref": "twinpilgrim/using-fastai-for-flower-classification", "kernel_id": "50858167"}, {"ref": "daniil2000/petals-to-metal-with-vgg16", "kernel_id": "50773684"}, {"ref": "garfield2021/petals-to-the-metal-transfer-learning-vgg", "kernel_id": "50949561"}, {"ref": "dhruvlotia/spaceship-analysis", "kernel_id": "50404662"}, {"ref": "sslv90/notebook5d3d4da7c3-0ca05d", "kernel_id": "50007428"}, {"ref": "sslv90/notebook5d3d4da7c3-bbc778", "kernel_id": "50005527"}, {"ref": "sslv90/notebook477531fc9b", "kernel_id": "50011971"}, {"ref": "cristhianccalah/flower-classification-on-tpu-tf", "kernel_id": "50883895"}, {"ref": "ccmcnally/esof4011-project-code", "kernel_id": "50227590"}, {"ref": "tarndeepsingh16/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "50771663"}, {"ref": "nattapattriam/petals-to-metal-nattapat", "kernel_id": "51118543"}, {"ref": "amrfadhilah/flower-classification-using-xception-densenet201", "kernel_id": "51521150"}, {"ref": "irfankhan1431/notebook-submission", "kernel_id": "51285087"}, {"ref": "avikal30/petals-to-the-metal", "kernel_id": "51081467"}, {"ref": "antonkrasnyuk/pytorch-timm-with-tpu-xla-problem", "kernel_id": "52026609"}, {"ref": "miroslavz/task-4-cv", "kernel_id": "52232518"}, {"ref": "poiyut/self-written-nn", "kernel_id": "52998727"}, {"ref": "nathanielchristian/petals-to-the-metal-gdsc", "kernel_id": "52921814"}, {"ref": "gsbjtuczy/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "52835934"}, {"ref": "shadesh/flower-classification-cnn-transfer-learning", "kernel_id": "52861637"}, {"ref": "vicosilalahi/task-3-1", "kernel_id": "52772929"}, {"ref": "hndra04/gdsc-topic-3-task-1", "kernel_id": "52935802"}, {"ref": "suryalim123/17-maret-2024-flower", "kernel_id": "52850243"}, {"ref": "jamessuryaputra/petal-image-analysis", "kernel_id": "52020413"}, {"ref": "bunny11/petals-to-the-metal", "kernel_id": "53143734"}, {"ref": "poiyut/pre-train-nn", "kernel_id": "53224014"}, {"ref": "gsbjtuczy/vision-transformer-vit-with-tensorflow", "kernel_id": "53344834"}, {"ref": "emadmakhlouf/flower-classsification-on-tpu-xception", "kernel_id": "53076396"}, {"ref": "shadesh/flower-classification-svm-knn-training", "kernel_id": "53476138"}, {"ref": "friskamahardini/petals-to-the-metal", "kernel_id": "53587110"}, {"ref": "peliks/task-3-1", "kernel_id": "53657233"}, {"ref": "aaronfriasr/petals-to-the-metal-flower-classification", "kernel_id": "53824541"}, {"ref": "robertcostean/notebookdf78ba6c7a", "kernel_id": "53030388"}, {"ref": "nadezhda2019/transfer-learning", "kernel_id": "54911926"}, {"ref": "vitalykapranoff/petals-torch", "kernel_id": "54199411"}, {"ref": "reaperlethal/create-your-first-submission", "kernel_id": "54149053"}, {"ref": "arpita712/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "54549958"}, {"ref": "wilmoi/23100000000922-william-a-tsa-petals-to-the-metal", "kernel_id": "54028836"}, {"ref": "samanvaysiddharth/petalstometal101", "kernel_id": "54816864"}, {"ref": "sabrinadandelion/test1", "kernel_id": "54341430"}, {"ref": "takwabenaicha/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "55648171"}, {"ref": "averilkan/petals-to-the-metal-pytorch-gpu", "kernel_id": "55550718"}, {"ref": "apopur/petals-to-the-metal", "kernel_id": "55233205"}, {"ref": "authkenba/submission-gdsc-itb-1", "kernel_id": "55910704"}, {"ref": "pritdudhia/fivp-innovative-505-523", "kernel_id": "55205363"}, {"ref": "xyznihal/flower-classification-on-tpu-using-cnn", "kernel_id": "56492608"}, {"ref": "gsbjtuczy/fork-of-the-first-test", "kernel_id": "56506223"}, {"ref": "kaia01/pytorch-flowers", "kernel_id": "56336712"}, {"ref": "youksarelothrik/v2-my-life", "kernel_id": "57852296"}, {"ref": "allwanttokissme/start-with-pre-train", "kernel_id": "57297651"}, {"ref": "saleepshrestha/petal-to-metal", "kernel_id": "57166926"}, {"ref": "danylokozyrytskyi24/danylo-petals-github-fork", "kernel_id": "57267838"}, {"ref": "gbarcelona/petalstothemetal", "kernel_id": "58078803"}, {"ref": "hycjhen/flower-inceptionresnetv2", "kernel_id": "58348623"}, {"ref": "yeejian/petals-to-the-metal-resnet", "kernel_id": "58506772"}, {"ref": "gedewahyupurnama/flowers-classification-using-convnext-tf-keras", "kernel_id": "59142532"}, {"ref": "weishuzhang/notebook58ca4501ff", "kernel_id": "59278709"}, {"ref": "fauziya24/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "60636355"}, {"ref": "noeguedet/efficientnet-v2-pytorch-96-7", "kernel_id": "60524695"}, {"ref": "pamalkrmondal/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "60061063"}, {"ref": "ankandebnath/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "61566389"}, {"ref": "akmalyaasir/flower-classification", "kernel_id": "61220933"}, {"ref": "jonathanejaeger/petals-to-the-metal-first-attempt", "kernel_id": "61510951"}, {"ref": "adikatre/flower", "kernel_id": "61314858"}, {"ref": "aniketsinghyadav/petals-to-the-metals-flower-classification-on-t", "kernel_id": "61664198"}, {"ref": "ghanatheyakashkumar/petals-to-the-metal", "kernel_id": "61381649"}, {"ref": "clemencetravers/need-help", "kernel_id": "61815726"}, {"ref": "mdhossanr/petals-metals-error", "kernel_id": "61068947"}, {"ref": "alexchalk/petals-to-the-metal-fastai-simple", "kernel_id": "62720856"}, {"ref": "danishrahadian/task-3-1-image-classification", "kernel_id": "62927155"}, {"ref": "cemalec/create-your-first-submission", "kernel_id": "65347817"}, {"ref": "imthebaron/petaltothemetal-xception-densenet201", "kernel_id": "66876216"}, {"ref": "kmjoshi8/petals-to-the-metal-flower-classification", "kernel_id": "67880295"}, {"ref": "majidhussain360/petal-to-metal-compitition-notebook", "kernel_id": "67041625"}, {"ref": "msravanthi67/flowertpu", "kernel_id": "67572294"}, {"ref": "ishanakarpe/pedals-to-metal-analysis", "kernel_id": "67020931"}, {"ref": "cataluna84/getting-started-on-tpus-flowerclassification", "kernel_id": "68189730"}, {"ref": "jesusdeleon19/pedal-classification", "kernel_id": "68939002"}, {"ref": "cxhcccvvvsder/petal-to-metal-compitition-notebook", "kernel_id": "68568979"}, {"ref": "sishuxin/petals-to-the-metal-flower-classification", "kernel_id": "68903883"}, {"ref": "semanto117119/petals-to-the-metal-flower-classification", "kernel_id": "69364811"}, {"ref": "mdadnan8914/petals-to-metals", "kernel_id": "69555758"}, {"ref": "likeabubble/transfer-learning-xception-fine-tuning", "kernel_id": "69258797"}, {"ref": "sharaon/huahuishibie", "kernel_id": "69423106"}, {"ref": "artembaev/start-with-pre-train", "kernel_id": "70975916"}, {"ref": "kuldii/sandikha-rahardi-230908-task-3", "kernel_id": "70347535"}, {"ref": "lrnmlai/notebookd3db35a708", "kernel_id": "70786960"}, {"ref": "ayushdeveloper/notebook2d1cf97ae7", "kernel_id": "70962231"}, {"ref": "s17v3rr/start-w-o-pre-train", "kernel_id": "71305503"}, {"ref": "svetlanashagivaleeva/start-with-pre-train-efficientnet", "kernel_id": "71121406"}, {"ref": "efimova/w-o-pre-train", "kernel_id": "71014431"}, {"ref": "ghassenzriga/petals-to-the-metal", "kernel_id": "71716512"}, {"ref": "soulvi/start-w-o-pre-train", "kernel_id": "71306906"}, {"ref": "delemiko/start-w-o-pre-train-anna", "kernel_id": "71387169"}, {"ref": "dumath/task-3-selfwritten", "kernel_id": "71241585"}, {"ref": "alexandramironova/part-1-mironova", "kernel_id": "71032935"}, {"ref": "alifmasum/comvis", "kernel_id": "71594307"}, {"ref": "alifmasum/resnet", "kernel_id": "71963462"}, {"ref": "alexaxaxaxa/start-w-o-pre-train", "kernel_id": "71252798"}, {"ref": "dohaaaaaz/petal-flower-classification", "kernel_id": "71220802"}, {"ref": "annisawardhani05/notebookff491c1938", "kernel_id": "71653573"}, {"ref": "artembaev/start-with-pre-train-eff-add-data", "kernel_id": "72772922"}, {"ref": "svetlanashagivaleeva/start-with-pre-train-efficientnet-v2", "kernel_id": "72204039"}, {"ref": "svetlanashagivaleeva/start-with-pre-train-ensamble", "kernel_id": "72220379"}, {"ref": "efimova/ensemble1", "kernel_id": "72398142"}, {"ref": "loujaienelsherbiny/final-assignment", "kernel_id": "72452674"}, {"ref": "timgainutdinov/petals-not-pre-trained", "kernel_id": "72269176"}, {"ref": "timgainutdinov/petals-with-pretrained-tpu", "kernel_id": "72828148"}, {"ref": "wachinu/start-w-o-pre-train-yurin", "kernel_id": "72080990"}, {"ref": "markshubat/task4-shubat-mi", "kernel_id": "72442877"}, {"ref": "markshubat/task3-shubat-mi", "kernel_id": "72398395"}, {"ref": "dumath/task-4-pretrained", "kernel_id": "72510379"}, {"ref": "ivanmenyakin/start-w-o-pre-train", "kernel_id": "72273875"}, {"ref": "mashakholodenko/start-with-pre-train", "kernel_id": "72574552"}, {"ref": "mashakholodenko/start-with-more-data-ensemble-v4", "kernel_id": "72691191"}, {"ref": "mashakholodenko/start-with-ensemble-v3", "kernel_id": "72635978"}, {"ref": "alifmasum/fine-tune-resnet", "kernel_id": "72079735"}, {"ref": "alexaxaxaxa/pretrained", "kernel_id": "72511890"}, {"ref": "maryamalmarri/predict-models-densenet201", "kernel_id": "72633339"}, {"ref": "ishhbku/project2", "kernel_id": "72635151"}, {"ref": "ishhbku/project", "kernel_id": "72633319"}, {"ref": "hasancanzkan/flower-classifier-with-gpu-0-91", "kernel_id": "73619018"}, {"ref": "harrysun2006/petals-to-the-metal-flower-classification-model6", "kernel_id": "73181069"}, {"ref": "harrysun2006/petals-to-the-metal-flower-classification-model2", "kernel_id": "73235267"}, {"ref": "s17v3rr/start-with-ensemble", "kernel_id": "73224431"}, {"ref": "s17v3rr/my-conv-next-small", "kernel_id": "73233314"}, {"ref": "s17v3rr/my-conv-next", "kernel_id": "73222200"}, {"ref": "gorbunovnikitos/start-w-o-pre-train-gorbunov", "kernel_id": "73572813"}, {"ref": "sokollik0511/start-w-o-pre-train", "kernel_id": "73105725"}, {"ref": "acederys/kashkin", "kernel_id": "73209112"}, {"ref": "alexandrdddd/derevyankin-task-3", "kernel_id": "73261542"}, {"ref": "alexandrdddd/petals-not-pre-trained", "kernel_id": "73365530"}, {"ref": "ramisashararnidhi/create-your-first-submission", "kernel_id": "73992983"}, {"ref": "trixmixing1ai/create-your-first-submission", "kernel_id": "73009161"}, {"ref": "albertntumba/jax-flax-tf-data-vision-transformers-tutorial", "kernel_id": "74817071"}, {"ref": "andreymusienko/w-o-pretrain", "kernel_id": "74303554"}, {"ref": "andreymusienko/pretrain", "kernel_id": "74307074"}, {"ref": "danila00/start-w-o-pre-train", "kernel_id": "74217525"}, {"ref": "mashakholodenko/start-w-o-pre-train", "kernel_id": "74062876"}, {"ref": "sheemamasood/petals-to-the-metals-tpu", "kernel_id": "74287480"}, {"ref": "sumit2garg/petals-to-the-metal-flower-classification-model2", "kernel_id": "74951771"}, {"ref": "soumodipchandra/flower-classification-tpu", "kernel_id": "74156701"}, {"ref": "urgencywu/petals-to-the-metal-flower-classification-on-gpu", "kernel_id": "75507117"}, {"ref": "liviajohn/create-your-first-submission", "kernel_id": "75079028"}, {"ref": "jainaru/flower-classification-using-resnet", "kernel_id": "75250868"}, {"ref": "raj110/petals-to-the-metal", "kernel_id": "75435921"}, {"ref": "ananyahota/create-your-first-submission", "kernel_id": "75370179"}, {"ref": "tiffanywid/create-your-first-submission", "kernel_id": "75101902"}, {"ref": "ahajahmed/create-your-first-submission-3635ed", "kernel_id": "75377365"}, {"ref": "mansapatel/create-your-first-submission", "kernel_id": "75362882"}, {"ref": "makaylakienlen/create-your-first-submission", "kernel_id": "75274298"}, {"ref": "brunoflausino/petal-to-metal-final-submission", "kernel_id": "76486559"}, {"ref": "zhangyuehan151/a-simple-petals-tf-2-2-notebook", "kernel_id": "76592136"}, {"ref": "suthcong/tpu-getting-start", "kernel_id": "77784158"}, {"ref": "carloscastau/flower-classification-competition", "kernel_id": "78468586"}, {"ref": "rabieouerghicabiste/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "78232418"}, {"ref": "sergeivasilenko/a-simple-petals-tf-2-18-notebook-fixed", "kernel_id": "79171779"}, {"ref": "oconnortc03/notebook-petal-to-the-metal", "kernel_id": "80449598"}, {"ref": "shambhaviadhikari7/create-your-first-submission", "kernel_id": "81668730"}, {"ref": "isaacmenard/tpu-powered-flower-image-classifier", "kernel_id": "81993724"}, {"ref": "shambhaviadhikari7/notebook85fe5302f4", "kernel_id": "82521369"}, {"ref": "shambhaviadhikari7/notebookd453f51ca3", "kernel_id": "82521497"}, {"ref": "shambhaviadhikari7/notebook2da2b2525f", "kernel_id": "82521687"}, {"ref": "pradeeplachireddy/tpu-flowerclassification", "kernel_id": "83958258"}, {"ref": "yoruyuki/test-project", "kernel_id": "83928202"}, {"ref": "kospintr/flower-class-efficientnetb6-transfer-learning", "kernel_id": "84138704"}, {"ref": "tomy00/flower-classification", "kernel_id": "84995563"}, {"ref": "r1ta1slearn1ngn0w/11336015", "kernel_id": "84804107"}, {"ref": "ijiayumu/ijitsunolowerclassification", "kernel_id": "85940760"}, {"ref": "leonardshanjilee/project-swin-b", "kernel_id": "86494010"}, {"ref": "shamiksarangi/notebook5a11264ae2", "kernel_id": "87458906"}, {"ref": "emilylieske/efficientnetb0-baseline", "kernel_id": "87167137"}, {"ref": "emilylieske/efficientnetb1-hyperparameter-tuned", "kernel_id": "87633361"}, {"ref": "emilylieske/efficientnetb0-data-balanced-parameter-tuned", "kernel_id": "87744255"}, {"ref": "omnyama7moud/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "87973667"}, {"ref": "omnyama7moud/omnya-task-2", "kernel_id": "87993698"}, {"ref": "omnyama7moud/omnya-task", "kernel_id": "87797000"}, {"ref": "babarbaig/create-your-first-submission", "kernel_id": "88875180"}, {"ref": "elacha/resnet-baseline", "kernel_id": "88157691"}, {"ref": "atharvamuley25/petals-to-metals-efficientnetv2-s", "kernel_id": "89590002"}, {"ref": "antonglushko1/notebook6b6e7f640e", "kernel_id": "89487859"}, {"ref": "shogomiyawaki/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "91824931"}, {"ref": "nocarbonintelligence/petals-to-the-metal-flower-classification-on-tpu", "kernel_id": "92752438"}, {"ref": "leopaullarkin/create-your-first-submission", "kernel_id": "93058509"}, {"ref": "ssunbin/petal-to-metal-ssunbin", "kernel_id": "94188055"}, {"ref": "vemulapallisaiganesh/petal-to-metal-ssunbin", "kernel_id": "94894290"}, {"ref": "h1roxo/flowerclassification", "kernel_id": "94009101"}, {"ref": "vemulapallisaiganesh/notebook55ce2f76fb", "kernel_id": "96355410"}, {"ref": "adrienthomas/create-your-first-submission", "kernel_id": "96148910"}, {"ref": "hariniyerrapothu/notebooke2ace908b0", "kernel_id": "97625031"}, {"ref": "adityakumar39157/notebookfc18375ec5", "kernel_id": "97766173"}, {"ref": "dedquoc/tpu-flower-ensemble-research-v1", "kernel_id": "98412890"}, {"ref": "tatianareyes22/notebook4aee585708", "kernel_id": "98356708"}, {"ref": "nesema/petals", "kernel_id": "98199499"}, {"ref": "cristian2208/tpu-automated-ensemble", "kernel_id": "98079348"}, {"ref": "gaddegowtham/tpu-flower-ensemble-research-v1", "kernel_id": "98579062"}, {"ref": "gaddegowtham/petals2metal-tpu", "kernel_id": "98585371"}, {"ref": "prajwal74/classification", "kernel_id": "99572396"}, {"ref": "jayasimhav/petals-to-the-metal-flower-classification", "kernel_id": "99881870"}, {"ref": "jayasimhav/tpu-flower-ensemble-research-v1", "kernel_id": "99880407"}, {"ref": "alexanderdyukarev/flower-classification-1", "kernel_id": "100751751"}, {"ref": "hithamohana/notebook890b84643f", "kernel_id": "100963898"}, {"ref": "adrienthomas/notebook60421bb19f", "kernel_id": "101397752"}, {"ref": "gssreshta/fc-swin-large-with-external-data", "kernel_id": "101709221"}, {"ref": "reinaldyhutapea/12s22010-reinaldy-hutapea-nn", "kernel_id": "102543193"}, {"ref": "jopelsimarmata/notebookc49baa61ee", "kernel_id": "102540846"}, {"ref": "gracetiodora/notebooka1b530a28a", "kernel_id": "102544383"}, {"ref": "neverworld/flower-classification", "kernel_id": "102435507"}, {"ref": "ghalibdbajwa/eda-sampling", "kernel_id": "102272665"}, {"ref": "ngimadolmatamang/eda-qualitative", "kernel_id": "102296318"}, {"ref": "lauravekony/advanced-analytics-group-project", "kernel_id": "102401560"}, {"ref": "weipeiliu/create-your-first-submission", "kernel_id": "102138502"}, {"ref": "alifaflahsuedi/12s23025-alifaflahsuedi-nn", "kernel_id": "102539820"}, {"ref": "yolandassaragih/notebook218f80478a", "kernel_id": "102549250"}, {"ref": "anastasyashn/12s23046-anastasya-siahaan", "kernel_id": "102551985"}, {"ref": "eskaaya/12s23024-eskasilaen", "kernel_id": "102543362"}, {"ref": "artova/custom-nn", "kernel_id": "103590594"}, {"ref": "sedirov07/start-w-o-pre-train", "kernel_id": "103080281"}, {"ref": "sedirov07/finetune", "kernel_id": "103653847"}, {"ref": "alyatriswani/12s23038-alya-triswani-neural-network", "kernel_id": "103232447"}, {"ref": "gracetiodora/notebook059a089034", "kernel_id": "103253775"}, {"ref": "frankniroysiahaan/12s23016-frank-niroy-siahaan-perceptron", "kernel_id": "103145633"}, {"ref": "frankniroysiahaan/frank-niroy-siahaan-12s23016", "kernel_id": "103259809"}, {"ref": "sintonghutapea/12s23029-sintong-hutapea-nn", "kernel_id": "103147163"}, {"ref": "chintyareginauli/12s23045-chintya-reginauli-rajagukguk-perceptron", "kernel_id": "103232157"}, {"ref": "arifdoloksaribu/12s23026-arif-m-doloksaribu-petals", "kernel_id": "103147914"}, {"ref": "dima3ddd/das-task-part1", "kernel_id": "103401840"}, {"ref": "dima3ddd/das-task-part2", "kernel_id": "103588179"}, {"ref": "juliuskaisar/12s23035-juilus-sinaga-tpu", "kernel_id": "103244093"}, {"ref": "graciapardede/12s23044-gracia-pardede-flower", "kernel_id": "103275829"}, {"ref": "ghalibdbajwa/submission", "kernel_id": "103414774"}, {"ref": "lisbethpanjaitan/lisbeth-panjaitan-12s23041-neuralnetwork", "kernel_id": "103233431"}, {"ref": "kesam2407/12s23015-kevin-sam", "kernel_id": "103275684"}, {"ref": "rachelsimorangkir/rachel-c-p-simorangkir", "kernel_id": "103125573"}, {"ref": "jennifer047/12s23047-jennifer-sihotang-petal-to-the-metal", "kernel_id": "103044033"}, {"ref": "priscamanurung/12s23039-prisca-r-manurung-nn", "kernel_id": "103251988"}, {"ref": "simorangkirjonathans/12s23030-p08", "kernel_id": "103166277"}, {"ref": "cardolansinaga/cardolannnnsinaga-12s2306", "kernel_id": "103251908"}, {"ref": "cardolansinaga/12s23006-cardolann-siinaga", "kernel_id": "103276096"}, {"ref": "thrsiaas/12s23051-tere", "kernel_id": "103278339"}, {"ref": "arichiveee/12s23034-pariama-valentino", "kernel_id": "103251517"}, {"ref": "andikanadapdap/12s23013-andika-nadapdap-neural", "kernel_id": "103277643"}, {"ref": "andikanadapdap/12s23013-andika-nadapdap-neural-network", "kernel_id": "103246805"}, {"ref": "clarasiasimanjuntak/12s23019-clarasia-l-simanjuntak", "kernel_id": "103249933"}, {"ref": "poppysibuea/12s23004-poppy-putri", "kernel_id": "103013900"}, {"ref": "kevingultom/12s23001-kevin-gultom", "kernel_id": "103165965"}, {"ref": "genesispanjaitan/12s23012-genesis-neural-network", "kernel_id": "103248772"}, {"ref": "anastasyashn/notebookba41b634e9", "kernel_id": "103251867"}, {"ref": "eunikepurba/notebook18854ed6c9", "kernel_id": "103269462"}, {"ref": "eunikepurba/notebookb460c4f325", "kernel_id": "103275741"}, {"ref": "eunikepurba/eunike-multi-layer-perceptron", "kernel_id": "103168954"}, {"ref": "dianamanurung/12s23040-dianamanurung-neuralnetwork", "kernel_id": "103079429"}, {"ref": "danielsitumorang1/12s23028-danielsitumorang1", "kernel_id": "103247889"}, {"ref": "ariellaucsihombing/12s23005-ariella-ucs", "kernel_id": "103046646"}, {"ref": "tiffanirumiris/12s23010-tiffanib-nn", "kernel_id": "103245746"}, {"ref": "tiffanirumiris/12s23010-tiffani-nn", "kernel_id": "103141563"}, {"ref": "lennihutapea/lenni-febriyani-petals-to-the-metal-flower-class", "kernel_id": "103142378"}, {"ref": "lennihutapea/12s23023-lenni-febriyani", "kernel_id": "103020306"}, {"ref": "santasitorus/12s23022-placidiasitorus", "kernel_id": "103278447"}, {"ref": "clarissnt/12s23049-clarissa-neural-network", "kernel_id": "103266942"}, {"ref": "chrismansyahtsiahaan/p08-chrismansyah", "kernel_id": "103168012"}, {"ref": "gracecaldera/12s23048-p08", "kernel_id": "103259477"}, {"ref": "gracecaldera/12s23048-mlp", "kernel_id": "103232096"}, {"ref": "aldipanggabean/14s22035-aldi-g-pangabean-neural-network", "kernel_id": "103253092"}, {"ref": "earlynathali/12s23018", "kernel_id": "103234919"}, {"ref": "prettymariapurba/12s23042-p08-by-pretty", "kernel_id": "103275710"}, {"ref": "dinamrlnn/12s23009-dina-neural-network", "kernel_id": "103050351"}, {"ref": "oloanbonarnainggolan/12s23033", "kernel_id": "103250231"}, {"ref": "peggaq/second", "kernel_id": "104936910"}, {"ref": "peggaq/first", "kernel_id": "104922054"}, {"ref": "seriousdim/notebookfdaedc1ec8", "kernel_id": "104646818"}, {"ref": "seriousdim/pre-trained-2", "kernel_id": "104889498"}, {"ref": "seriousdim/no-weights-2", "kernel_id": "104998249"}, {"ref": "artova/pretrained-models", "kernel_id": "104489423"}, {"ref": "nastyk/notebook442bec143b", "kernel_id": "104375755"}, {"ref": "sophiesolodnikova/flower-classification-competition", "kernel_id": "104063661"}, {"ref": "benjaminguth/notebooke165f4f083", "kernel_id": "104050331"}, {"ref": "levalekseev/notebookf718f37af9", "kernel_id": "104805383"}, {"ref": "levalekseev/notebook2214bc68ae", "kernel_id": "104867695"}, {"ref": "qshemq/notebook51ab8dfa52", "kernel_id": "104761223"}, {"ref": "nannan888/111111a", "kernel_id": "104414962"}, {"ref": "youyanglyu/flower-classification-on-tpu", "kernel_id": "104532163"}, {"ref": "hansikagunasekara/create-your-first-submission-caf9a8", "kernel_id": "105430330"}, {"ref": "kanav0183/learnwithkanav-vit", "kernel_id": "105910825"}, {"ref": "abdallahabuelftouh/flower-classification", "kernel_id": "105793588"}, {"ref": "qshemq/notebookec8f5301b6", "kernel_id": "105228799"}, {"ref": "chenalakazam/flower-classification-competition", "kernel_id": "105740636"}, {"ref": "masanakashima/petals-to-the-metal-botanist-s-guide-to-tpus", "kernel_id": "107729931"}, {"ref": "masanakashima/petals-to-the-metal-botanist-guide-tpu", "kernel_id": "107730048"}, {"ref": "alexsobolev515/notebook004e55e7f6", "kernel_id": "107361602"}, {"ref": "alexsobolev515/notebook7887da8fc6", "kernel_id": "107363791"}, {"ref": "nothingtodonow/notebook04c791bd05", "kernel_id": "107408748"}, {"ref": "nothingtodonow/notebookf002f38e4f", "kernel_id": "107536469"}, {"ref": "peanuffy/solomennikov-sad-4", "kernel_id": "107426582"}, {"ref": "yanabekovaleksandr/petals-to-the-metal", "kernel_id": "107617388"}, {"ref": "yanabekovaleksandr/petals-to-the-metal-1", "kernel_id": "107626888"}, {"ref": "kobedan/notebook85e0dd3b63", "kernel_id": "107614872"}, {"ref": "kobedan/notebook4a749c8417", "kernel_id": "107777124"}, {"ref": "viktorryazanov/ryazanovviktortask3", "kernel_id": "107511777"}, {"ref": "anshika27ds/create-your-first-submission", "kernel_id": "108050948"}, {"ref": "youngercheng/notebook789c57f014", "kernel_id": "108762180"}, {"ref": "itsyoursumit/create-your-first-submission", "kernel_id": "109805191"}, {"ref": "rhythmghai/lightning-tpu-flower-classifier", "kernel_id": "109408681"}, {"ref": "rauffauzanrambe/efficientnet-tpu-fine-tuned-baseline", "kernel_id": "109937411"}, {"ref": "rinatgil/gilmutdinov-flower-classification", "kernel_id": "110455611"}, {"ref": "rinatgil/gilmutdinov-flower-lassification-own-cnn", "kernel_id": "110341047"}, {"ref": "lightvvcx/efficientnet-b5-score-0-96119-easy-solution", "kernel_id": "110222386"}, {"ref": "rauffauzanrambe/floramind-adaptive-deep-learning-for-scalable", "kernel_id": "110744229"}, {"ref": "rauffauzanrambe/petals-to-the-metal-distributed-deep-learning-for", "kernel_id": "111221912"}, {"ref": "ameythakur20/tpu-flower-classification-advanced-ensemble", "kernel_id": "112626162"}, {"ref": "mrsohelranapro/data-driven-petals-to-the-metal-flower-classifying", "kernel_id": "112192812"}, {"ref": "josephmahercsi/20260316", "kernel_id": "112313083"}, {"ref": "richardqin404/tpu-getting-started", "kernel_id": "113202863"}, {"ref": "junkikung/notebook95da367f07", "kernel_id": "114898303"}, {"ref": "junkikung/das-task-part2", "kernel_id": "114841069"}, {"ref": "josephmahercsi/20260413", "kernel_id": "114942634"}, {"ref": "thomasprzilliox/fc-effnet", "kernel_id": "115059627"}, {"ref": "hannahmuthonihailu/petals-to-the-metal-competition", "kernel_id": "115626891"}, {"ref": "santmani/tpu-atamazian-fork", "kernel_id": "115626090"}, {"ref": "lokeshpuma/flower-classification-efficientnetb4", "kernel_id": "115699656"}, {"ref": "plagiagia/a-field-guide-to-petals-to-the-metal", "kernel_id": "116791931"}, {"ref": "manumatute01/pa1-lazaro-matute-petals-sv16", "kernel_id": "116259330"}, {"ref": "sadiq18/petals-to-the-metal-predictions", "kernel_id": "117670603"}, {"ref": "sadiq18/petals-to-the-metal-flower-classification", "kernel_id": "117647060"}, {"ref": "mtoshidesu/flower-classification-made-simple-intuitive-visu", "kernel_id": "117230225"}, {"ref": "natewilliams123/resnet10-submission", "kernel_id": "117802746"}, {"ref": "alyhegazy0/alyflowerpetals", "kernel_id": "117082056"}, {"ref": "thomasprzilliox/vision-transformer-tf-for-flower-classification", "kernel_id": "118297878"}, {"ref": "thomasprzilliox/vision-transformer-pt-for-flower-classif", "kernel_id": "118963331"}, {"ref": "stefanrothermel/tensors-in-bloom-initial-setup", "kernel_id": "118899865"}, {"ref": "miheyplaygame/mpg-petal-to-metal", "kernel_id": "119285060"}, {"ref": "stefanrothermel/tensors-in-bloom-tpu-awakening", "kernel_id": "119258644"}, {"ref": "stefanrothermel/tensors-in-bloom-a-bouquet-of-models", "kernel_id": "119955327"}, {"ref": "dimitrisx94/create-your-first-submission", "kernel_id": "119829914"}, {"ref": "anaadp17/getting-started-with-tpus", "kernel_id": "119711921"}, {"ref": "harrysun2006/petals-baseline-tl", "kernel_id": "120747390"}, {"ref": "thomasprzilliox/lr-schedule-experiment-on-vit-fine-tuning", "kernel_id": "120300628"}, {"ref": "joymietalicuad/a-simple-petals-tf-2-2-notebook", "kernel_id": "121971921"}, {"ref": "joymietalicuad/petals-baseline-tl", "kernel_id": "122166096"}, {"ref": "chengyexx/tpu-flower", "kernel_id": "123810499"}, {"ref": "hoodrichpirobo/create-your-first-submission", "kernel_id": "124919014"}, {"ref": "alannahaguirre/submission-csv", "kernel_id": "124170023"}, {"ref": "huangxiyuan/kaggle", "kernel_id": "124225412"}, {"ref": "shanxianlin/flower-classification", "kernel_id": "124899317"}, {"ref": "nurcanylmaz/petalstothemetal", "kernel_id": "125410420"}, {"ref": "arthurmarquess/notebookd7b98365bb", "kernel_id": "125371806"}, {"ref": "jingyiwang0629/kaggle", "kernel_id": "125877825"}, {"ref": "gabrielsoaresribeir0/projetofinal-cienciadados202601", "kernel_id": "125683327"}, {"ref": "ainigriv/petals-to-the-metal-virginia", "kernel_id": "126980843"}, {"ref": "purelilyth/flowerclassification-resnet50", "kernel_id": "126045514"}, {"ref": "tatsumayamaguchi/flower-classification", "kernel_id": "126562490"}, {"ref": "emikohei/notebook98f4e6afb9", "kernel_id": "126563094"}, {"ref": "kunoritaku/flower-classification", "kernel_id": "126566664"}, {"ref": "kunoritaku/notebooka673a6d730", "kernel_id": "126846990"}, {"ref": "alanebenjamim/t4-mc906-1s2026", "kernel_id": "126186277"}, {"ref": "mudassarshabir/flower-classification-competition", "kernel_id": "127321402"}, {"ref": "tatsumayamaguchi/flower-classification-32b88b", "kernel_id": "127451040"}, {"ref": "shonsei1119/flower-classification-844712", "kernel_id": "127558402"}, {"ref": "onishitokudai/notebookae77f5b8a2", "kernel_id": "127714263"}, {"ref": "onishitokudai/notebook7a367f1f3f", "kernel_id": "127224978"}, {"ref": "rin1218/notebook76bf3ed194", "kernel_id": "128334120"}, {"ref": "shonsei1119/matunami2", "kernel_id": "128380042"}, {"ref": "nakamichigun/notebook5daea51092", "kernel_id": "128451291"}, {"ref": "kenjihama/petals-to-the-metal-flower-classification", "kernel_id": "128322805"}, {"ref": "c612634002/notebookc9a809c407", "kernel_id": "128414472"}, {"ref": "matheusbonjour/petals-to-the-metal-efficientnet-tpu", "kernel_id": "129509505"}, {"ref": "vincenthwq/tpu-flower-cnn", "kernel_id": "130909893"}, {"ref": "maximolorenzoylosada/tpu-getting-started-first-valid-baseline", "kernel_id": "130230066"}, {"ref": "manderson240/cohezion-petals-to-metal-tpu", "kernel_id": "131842956"}, {"ref": "anonymousdns/a-field-guide-to-petals-to-the-metal", "kernel_id": "131075753"}, {"ref": "ksanjanaurk25cs9057/notebookf4fc051268", "kernel_id": "131958444"}, {"ref": "iimbue/create-your-first-submission-2ad0d5", "kernel_id": "132272467"}]}
{"competition_id": "21156", "kernels": []}
{"competition_id": "21160", "kernels": [{"ref": "minjiyoung/baseline", "kernel_id": "10119593"}, {"ref": "minjiyoung/18011783", "kernel_id": "10214561"}, {"ref": "suyeong/18011826-nn", "kernel_id": "10129669"}, {"ref": "suyeong/2-18011826", "kernel_id": "10398584"}, {"ref": "suyeong/kernel45c544ad23", "kernel_id": "10398340"}, {"ref": "suyeong/kernel7f65289f3d", "kernel_id": "10398242"}, {"ref": "dayeonsung/18011868-2-1-83571", "kernel_id": "10282346"}]}
{"competition_id": "21163", "kernels": [{"ref": "ericzepeda/taller-2", "kernel_id": "10024241"}]}
{"competition_id": "21164", "kernels": [{"ref": "sohamtiwari/car-classfication", "kernel_id": "10171304"}, {"ref": "krithiksankar/car-classification-model-inception-new", "kernel_id": "10483119"}, {"ref": "abhishekshankar/car-classifier-abhishek", "kernel_id": "10488720"}]}
{"competition_id": "21169", "kernels": []}
{"competition_id": "21179", "kernels": []}
{"competition_id": "21181", "kernels": [{"ref": "jurislee/attack", "kernel_id": "10399926"}, {"ref": "hanilevenshtein/kernel7844a1c069", "kernel_id": "10130555"}, {"ref": "magogu/17011797-2-05", "kernel_id": "10167992"}, {"ref": "magogu/baseline", "kernel_id": "10108298"}]}
{"competition_id": "21183", "kernels": []}
{"competition_id": "21184", "kernels": []}
{"competition_id": "21188", "kernels": [{"ref": "mimnn99/baseline-code", "kernel_id": "9979633"}, {"ref": "coolfamily77/14010974-0-09065", "kernel_id": "10382781"}, {"ref": "sejeongpark/final-exam", "kernel_id": "10398440"}, {"ref": "mimnn99/defence-baseline-code", "kernel_id": "10131410"}, {"ref": "dojinkyung18011765/18011765-rmse-0-14201", "kernel_id": "10125661"}, {"ref": "dojinkyung18011765/18011765", "kernel_id": "10398239"}]}
{"competition_id": "21191", "kernels": []}
{"competition_id": "21192", "kernels": [{"ref": "rajkumarnarasimhan2/sample-notebook", "kernel_id": "9965023"}]}
{"competition_id": "21199", "kernels": [{"ref": "sravyagarlapati/prediction-bike-sharing", "kernel_id": "10171102"}]}
{"competition_id": "21210", "kernels": []}
{"competition_id": "21211", "kernels": [{"ref": "kimyeonwooo/kernel404813b433", "kernel_id": "10120784"}, {"ref": "kimyeonwooo/kernel192c2cb755", "kernel_id": "10120821"}, {"ref": "kimyeonwooo/article-baseline-code", "kernel_id": "10120705"}, {"ref": "kimyeonwooo/baseline-code", "kernel_id": "10120354"}]}
{"competition_id": "21222", "kernels": []}
{"competition_id": "21223", "kernels": []}
{"competition_id": "21229", "kernels": []}
{"competition_id": "21231", "kernels": []}
{"competition_id": "21232", "kernels": []}
{"competition_id": "21233", "kernels": []}
{"competition_id": "21235", "kernels": [{"ref": "sejeongpark/defense", "kernel_id": "10144511"}, {"ref": "sejeongpark/data-set", "kernel_id": "10104155"}, {"ref": "sejeongpark/base-line-sec", "kernel_id": "10112245"}]}
{"competition_id": "21236", "kernels": [{"ref": "coolfamily77/14010974-1200-15235", "kernel_id": "10398280"}, {"ref": "hanilevenshtein/17011807-805", "kernel_id": "10398271"}, {"ref": "kimyeonwooo/final-examm-17011780", "kernel_id": "10398310"}, {"ref": "byeongheonlee/baseline-code", "kernel_id": "10119100"}, {"ref": "byeongheonlee/17013252-1135-97009", "kernel_id": "10179107"}, {"ref": "hyeinhailey/17011869-2-869-19079", "kernel_id": "10383436"}, {"ref": "hyeinhailey/17011869-1166-90454", "kernel_id": "10123629"}, {"ref": "hellokwon/18011834-866-88139", "kernel_id": "10398630"}]}
{"competition_id": "21237", "kernels": [{"ref": "moneyshot495/fnd-ml", "kernel_id": "14556604"}, {"ref": "chitwanmanchanda/fake-news-detection", "kernel_id": "17716614"}, {"ref": "deepanshigarg/fake-news-detection", "kernel_id": "17746112"}, {"ref": "satyendrapandey16/notebook3d2d3089d9", "kernel_id": "17485036"}, {"ref": "anubhavgupta1111/fake-news-detection", "kernel_id": "17746460"}, {"ref": "nandankumar9450/nandan-kumar-fake-news-detection", "kernel_id": "17744537"}, {"ref": "syedsubahani/fake-news-detection-model", "kernel_id": "44680858"}, {"ref": "minhaz07/fake-news-detection-challenge-kdd-2020", "kernel_id": "77718991"}]}
{"competition_id": "21243", "kernels": [{"ref": "ironman789/18011880-2", "kernel_id": "10398185"}, {"ref": "ahndohee/18011750-1-09510", "kernel_id": "10141133"}, {"ref": "dayeonsung/baseline-code", "kernel_id": "10103833"}]}
{"competition_id": "21250", "kernels": [{"ref": "leebyeongchan/18011876-2482-55267", "kernel_id": "10150273"}, {"ref": "leebyeongchan/18011876-2433-16121", "kernel_id": "10398328"}, {"ref": "hellokwon/18011834-2464-40732", "kernel_id": "10173277"}, {"ref": "hellokwon/baseline", "kernel_id": "10115023"}]}
{"competition_id": "21251", "kernels": [{"ref": "jurislee/defense-6-17-16010064", "kernel_id": "10172918"}, {"ref": "jurislee/baseline-code", "kernel_id": "10097433"}, {"ref": "yoonsikjo/attack-by-18011862joyoonsik", "kernel_id": "10129411"}, {"ref": "mingxoxo/18011793-1-0", "kernel_id": "10220227"}]}
{"competition_id": "21252", "kernels": []}
{"competition_id": "21253", "kernels": [{"ref": "hyeinhailey/17011869-0-99689", "kernel_id": "10123791"}, {"ref": "chae52/baseline-code", "kernel_id": "10105096"}, {"ref": "chae52/17011771-0-99955", "kernel_id": "10166093"}]}
{"competition_id": "21255", "kernels": [{"ref": "samvelgalstyan/notebook40d2ce4851", "kernel_id": "112003561"}]}
{"competition_id": "21256", "kernels": []}
{"competition_id": "21258", "kernels": []}
{"competition_id": "21260", "kernels": []}
{"competition_id": "21261", "kernels": []}
{"competition_id": "21263", "kernels": [{"ref": "psoh27/baseline", "kernel_id": "10089091"}, {"ref": "mimnn99/18011751-accuracy-1-00-linearclassification", "kernel_id": "10126922"}, {"ref": "mimnn99/18011751-accuracy-1-00-dnn", "kernel_id": "10127520"}]}
{"competition_id": "21264", "kernels": [{"ref": "gysk97/defence-0-76090", "kernel_id": "10155918"}, {"ref": "gysk97/baseline", "kernel_id": "10071530"}, {"ref": "gysk97/data-how2make", "kernel_id": "10072064"}, {"ref": "chae52/17011771", "kernel_id": "10399312"}]}
{"competition_id": "21266", "kernels": []}
{"competition_id": "21268", "kernels": [{"ref": "coolfamily77/14010974-1748-79026", "kernel_id": "10384032"}, {"ref": "kimyeonwooo/kernel755f56463d", "kernel_id": "10398333"}, {"ref": "kimyeonwooo/final-exam-17011780", "kernel_id": "10399753"}, {"ref": "dojinkyung18011765/baseline", "kernel_id": "10085914"}, {"ref": "dojinkyung18011765/defence-baselinermse-1975-96", "kernel_id": "10219128"}, {"ref": "minjiyoung/18011783-1598-14192", "kernel_id": "10398779"}, {"ref": "jungeunkim17011857/17011857-rmse-2129-76574", "kernel_id": "10130600"}]}
{"competition_id": "21271", "kernels": []}
{"competition_id": "21273", "kernels": []}
{"competition_id": "21274", "kernels": []}
{"competition_id": "21277", "kernels": [{"ref": "coolfamily77/14010974-13-90833", "kernel_id": "10398579"}, {"ref": "leejinsoo/kernel4936123b49", "kernel_id": "10432519"}, {"ref": "sejeonglee/17011850-25-63177", "kernel_id": "10381950"}, {"ref": "mimnn99/18011751-rmse-17-85918", "kernel_id": "10398353"}, {"ref": "mimnn99/18011751-rmse29-20715", "kernel_id": "10124470"}, {"ref": "joeunseo29/baseline", "kernel_id": "10085237"}, {"ref": "joeunseo29/youtubelink", "kernel_id": "10097411"}, {"ref": "joeunseo29/defen", "kernel_id": "10136767"}]}
{"competition_id": "21278", "kernels": []}
{"competition_id": "21279", "kernels": []}
{"competition_id": "21281", "kernels": [{"ref": "suzykwag/baseline", "kernel_id": "10080456"}, {"ref": "suzykwag/defense-baseline", "kernel_id": "10181155"}, {"ref": "dayeonsung/18011868-12-85486", "kernel_id": "10153296"}]}
{"competition_id": "21282", "kernels": []}
{"competition_id": "21283", "kernels": []}
{"competition_id": "21290", "kernels": [{"ref": "azank2001/kernel7c67b8d35c", "kernel_id": "10104728"}]}
{"competition_id": "21291", "kernels": [{"ref": "madhukapansuja/exploratory-analysis", "kernel_id": "10248880"}, {"ref": "madhukapansuja/model-fitting", "kernel_id": "10205748"}]}
{"competition_id": "21292", "kernels": [{"ref": "lunabeta/19010642-73", "kernel_id": "10132289"}, {"ref": "jeonginhee/baseline-code-69", "kernel_id": "10116290"}, {"ref": "jeonginhee/baseline-defence-75", "kernel_id": "10151319"}]}
{"competition_id": "21294", "kernels": [{"ref": "hanilevenshtein/17011807-080", "kernel_id": "10129969"}, {"ref": "kimssojin/defense-baseline", "kernel_id": "10102072"}, {"ref": "kimssojin/baseline", "kernel_id": "10214015"}]}
{"competition_id": "21295", "kernels": [{"ref": "jacobgreen4477/clustering-v0-0-1", "kernel_id": "34390699"}, {"ref": "jacobgreen4477/eda-car-insurance-v0-0-2", "kernel_id": "34396857"}]}
{"competition_id": "21298", "kernels": [{"ref": "s2blue4687/baseline-attack-12-07964", "kernel_id": "10180687"}, {"ref": "jaehwiyoon/16010170-11-99117", "kernel_id": "10220763"}, {"ref": "jaehwiyoon/baseline-code", "kernel_id": "10123178"}]}
{"competition_id": "21299", "kernels": [{"ref": "jihyun312/17011766-rmse-0-71971", "kernel_id": "10114390"}, {"ref": "sejeongpark/17011885-rmse-1-99932", "kernel_id": "10137576"}]}
{"competition_id": "21300", "kernels": [{"ref": "yoonsikjo/second-baseline", "kernel_id": "10218202"}, {"ref": "yoonsikjo/baseline", "kernel_id": "10121202"}, {"ref": "yoonsikjo/third-defensecode", "kernel_id": "10381946"}]}
{"competition_id": "21302", "kernels": []}
{"competition_id": "21303", "kernels": [{"ref": "kimyoungjinck/16013074-18-90634", "kernel_id": "10398193"}, {"ref": "ahndohee/baseline", "kernel_id": "10111921"}, {"ref": "jungeunkim17011857/17011857-rmse-18-41285", "kernel_id": "10132397"}]}
{"competition_id": "21304", "kernels": []}
{"competition_id": "21305", "kernels": [{"ref": "coolfamily77/baseline-code", "kernel_id": "10115876"}, {"ref": "coolfamily77/baseline-defense-13-08377", "kernel_id": "10182141"}, {"ref": "baeksohyeon/17011830-31-91864", "kernel_id": "10177402"}]}
{"competition_id": "21310", "kernels": []}
{"competition_id": "21312", "kernels": []}
{"competition_id": "21313", "kernels": []}
{"competition_id": "21314", "kernels": [{"ref": "diasy3277/attack-code", "kernel_id": "10398243"}, {"ref": "leebyeongchan/18011876-79-42029", "kernel_id": "10126814"}, {"ref": "baekjeonneung/baseline", "kernel_id": "10106676"}, {"ref": "baekjeonneung/defence-baseline", "kernel_id": "10221374"}, {"ref": "youngminchoi/attack-by", "kernel_id": "10398919"}, {"ref": "forstudydday/18011759", "kernel_id": "10398680"}]}
{"competition_id": "21315", "kernels": [{"ref": "sejeonglee/17011850-4669-71544", "kernel_id": "10398232"}, {"ref": "hellokwon/18011834-4984-73130", "kernel_id": "10398813"}, {"ref": "liv0vil/18011817-5049-26732", "kernel_id": "10398276"}, {"ref": "jungeunkim17011857/17011857-rmse-5336-81938", "kernel_id": "10124025"}]}
{"competition_id": "21318", "kernels": [{"ref": "liv0vil/baseline-code", "kernel_id": "10113232"}]}
{"competition_id": "21320", "kernels": [{"ref": "kimyeonwooo/final-1st", "kernel_id": "10390205"}, {"ref": "leebyeongchan/baseline-code", "kernel_id": "10108508"}, {"ref": "leebyeongchan/baseline2-code", "kernel_id": "10134083"}, {"ref": "suzykwag/18011797", "kernel_id": "10131762"}]}
{"competition_id": "21321", "kernels": []}
{"competition_id": "21323", "kernels": [{"ref": "hanilevenshtein/baseline", "kernel_id": "10116680"}, {"ref": "hanilevenshtein/newbaseline-0-68333", "kernel_id": "10201264"}, {"ref": "jeonginhee/17011851-0-68055", "kernel_id": "10132023"}]}
{"competition_id": "21324", "kernels": []}
{"competition_id": "21325", "kernels": [{"ref": "baeksohyeon/baseline-code", "kernel_id": "10112769"}, {"ref": "baeksohyeon/defense-code", "kernel_id": "10155039"}, {"ref": "baeksohyeon/attack-code", "kernel_id": "10387853"}, {"ref": "shimjaekyung/15011139", "kernel_id": "10125754"}]}
{"competition_id": "21326", "kernels": [{"ref": "shimjaekyung/baseline", "kernel_id": "10121011"}, {"ref": "liv0vil/18011817-0-44057", "kernel_id": "10155698"}]}
{"competition_id": "21328", "kernels": [{"ref": "ironman789/newbaseline", "kernel_id": "10214240"}, {"ref": "ironman789/baseline", "kernel_id": "10130631"}, {"ref": "baeksohyeon/17011830-72", "kernel_id": "10156696"}, {"ref": "gysk97/attack-success", "kernel_id": "10391502"}]}
{"competition_id": "21329", "kernels": []}
{"competition_id": "21330", "kernels": []}
{"competition_id": "21332", "kernels": []}
{"competition_id": "21335", "kernels": []}
{"competition_id": "21336", "kernels": [{"ref": "coolfamily77/14010974-737-57214", "kernel_id": "10398441"}, {"ref": "magogu/17011797-335-95237", "kernel_id": "10398248"}, {"ref": "byeongheonlee/17013251-2", "kernel_id": "10398277"}, {"ref": "byeongheonlee/17013251-657-02105", "kernel_id": "10202695"}, {"ref": "minjiyoung/18011783-dnn", "kernel_id": "10138637"}, {"ref": "ahndohee/18011750-2-404-83473", "kernel_id": "10389624"}, {"ref": "suyeong/kernel46e3535f83", "kernel_id": "10199218"}, {"ref": "suyeong/kernel466285881f", "kernel_id": "10198779"}, {"ref": "suyeong/18011826", "kernel_id": "10198829"}, {"ref": "suyeong/kernel4cf0098a1c", "kernel_id": "10116496"}]}
{"competition_id": "21337", "kernels": []}
{"competition_id": "21338", "kernels": [{"ref": "sejeonglee/17011850-3-76931", "kernel_id": "10398360"}, {"ref": "leebyeongchan/18011876-4-18453", "kernel_id": "10127113"}, {"ref": "leebyeongchan/18011876-4-16285", "kernel_id": "10398471"}, {"ref": "shinwj/kernel5357cf8a50", "kernel_id": "10119119"}, {"ref": "kimyoungjinck/16013074-3-79110", "kernel_id": "10398371"}]}
{"competition_id": "21340", "kernels": []}
{"competition_id": "21341", "kernels": [{"ref": "coolfamily77/14010974-8420-68395", "kernel_id": "10384289"}, {"ref": "coolfamily77/14010974-9183-46240", "kernel_id": "10217417"}, {"ref": "leebyeongchan/18011876-9346-43280", "kernel_id": "10125470"}, {"ref": "liv0vil/baseline-update-9286-71579", "kernel_id": "10181522"}, {"ref": "liv0vil/baseline", "kernel_id": "10116350"}]}
{"competition_id": "21342", "kernels": [{"ref": "diasy3277/new-baseline", "kernel_id": "10210940"}, {"ref": "diasy3277/preprocessing-train", "kernel_id": "10117781"}, {"ref": "diasy3277/just-train", "kernel_id": "10165994"}, {"ref": "lunabeta/19010642-48", "kernel_id": "10396188"}, {"ref": "lunabeta/19010642-38", "kernel_id": "10164038"}]}
{"competition_id": "21343", "kernels": [{"ref": "hanilevenshtein/projectmosquito-114", "kernel_id": "10128818"}, {"ref": "jungeunkim17011857/baseline", "kernel_id": "10119069"}, {"ref": "lsumin/18011762-101", "kernel_id": "10398302"}]}
{"competition_id": "21345", "kernels": [{"ref": "sumyeongjang/18011790-2804-11734", "kernel_id": "10137283"}, {"ref": "hyeinhailey/17011869-2775-97277", "kernel_id": "10137005"}, {"ref": "pooky0124/18011803-2624-185", "kernel_id": "10388499"}, {"ref": "pooky0124/kernel6599537437", "kernel_id": "10119075"}]}
{"competition_id": "21346", "kernels": [{"ref": "mingxoxo/18011793-0-79372", "kernel_id": "10398539"}, {"ref": "minjiyoung/18011783-0-60827", "kernel_id": "10398325"}, {"ref": "dayeonsung/18011868-0-83066-2", "kernel_id": "10384734"}, {"ref": "dayeonsung/18011868-0-91651", "kernel_id": "10167419"}, {"ref": "forstudydday/baseline-code", "kernel_id": "10162437"}]}
{"competition_id": "21347", "kernels": [{"ref": "plarmuseau/crime-torch-biaseddata", "kernel_id": "10131852"}, {"ref": "yoonsikjo/attack-by18011862joyoonsik", "kernel_id": "10163130"}, {"ref": "youngminchoi/2-18011863-0-78723", "kernel_id": "10391217"}, {"ref": "youngminchoi/baseline-code", "kernel_id": "10119055"}, {"ref": "youngminchoi/18011863-0-70212", "kernel_id": "10212302"}]}
{"competition_id": "21348", "kernels": [{"ref": "herikim/housing-price-baseline1", "kernel_id": "10215871"}, {"ref": "herikim/housing-price-baseline", "kernel_id": "10131150"}]}
{"competition_id": "21350", "kernels": [{"ref": "leejinsoo/baseline", "kernel_id": "10120290"}, {"ref": "leejinsoo/defense", "kernel_id": "10175170"}, {"ref": "hanilevenshtein/17011807-0-926", "kernel_id": "10134001"}]}
{"competition_id": "21351", "kernels": []}
{"competition_id": "21361", "kernels": []}
{"competition_id": "21368", "kernels": []}
{"competition_id": "21383", "kernels": [{"ref": "nayoungp/basecode", "kernel_id": "10196093"}]}
{"competition_id": "21385", "kernels": [{"ref": "kimyeonwooo/kernel2386e05f48", "kernel_id": "10179879"}]}
{"competition_id": "21389", "kernels": [{"ref": "nirmalgaud/good-and-bad-sperm-classification", "kernel_id": "67142229"}, {"ref": "xzaaam/good-and-bad-sperm-classification", "kernel_id": "72122091"}, {"ref": "khaledahmed10/sperm-detection-project", "kernel_id": "81121055"}, {"ref": "eslamahmed87/sperm-morophology", "kernel_id": "81301699"}, {"ref": "nirmalgaud2/good-and-bad-sperm-classification", "kernel_id": "102608633"}]}
{"competition_id": "21392", "kernels": [{"ref": "pohuawu/sample-code2", "kernel_id": "10171231"}]}
{"competition_id": "21399", "kernels": [{"ref": "wcg1993/attack-base", "kernel_id": "10193280"}, {"ref": "yoonsikjo/1st-attackcode18011862joyoonsik", "kernel_id": "10381036"}, {"ref": "kimyeonwooo/defense-code", "kernel_id": "10199230"}, {"ref": "kimyeonwooo/kernel31717f6ab8", "kernel_id": "10190590"}]}
{"competition_id": "21407", "kernels": [{"ref": "iraknyazeva/hw2-2018-motifdetection", "kernel_id": "10607661"}, {"ref": "alexandervc/hw1-part3-modularity-and-louvain-by-ac", "kernel_id": "10439529"}, {"ref": "alexandervc/hw1appendinx-modularity-examples-ac", "kernel_id": "10459924"}, {"ref": "alexandervc/hw1-part4-spectralclustering-ac", "kernel_id": "10478282"}, {"ref": "alexandervc/hw1-part1-networkcharacteristics-ac", "kernel_id": "10279383"}, {"ref": "algorodnitskiy/gorodnitskiy-hw1", "kernel_id": "10291190"}, {"ref": "nhatranthanh/hw-snap-sme", "kernel_id": "44742573"}]}
{"competition_id": "21408", "kernels": [{"ref": "asimzahid/robot-positioning-and-control-hackathon", "kernel_id": "11216855"}]}
{"competition_id": "21416", "kernels": [{"ref": "iamtapendu/stroke-trial-prediction-top", "kernel_id": "65040004"}, {"ref": "plarmuseau/stroke-trial-prediction-top", "kernel_id": "78814079"}, {"ref": "skharkia/stroke-mortality-prediction", "kernel_id": "84215892"}, {"ref": "rafaeldrago/sales-regression-bayesianridge", "kernel_id": "85060520"}]}
{"competition_id": "21418", "kernels": []}
{"competition_id": "21419", "kernels": [{"ref": "snakers41/audio-classifier-eda", "kernel_id": "10836320"}, {"ref": "ivanzakharov/audioclassification", "kernel_id": "24924403"}]}
{"competition_id": "21424", "kernels": []}
{"competition_id": "21426", "kernels": []}
{"competition_id": "21431", "kernels": [{"ref": "jenniferhoeting/example-of-code-for-this-competition", "kernel_id": "10226641"}]}
{"competition_id": "21434", "kernels": [{"ref": "athosdamiani/submiss-o-exemplo", "kernel_id": "10580126"}, {"ref": "athosdamiani/meu-modelo", "kernel_id": "10670693"}, {"ref": "felipelb/data-exploration", "kernel_id": "10942684"}, {"ref": "rafaelsach/c-digo-trab-final-ml-rafael-sach", "kernel_id": "11214328"}, {"ref": "rodrigomotoyama/entregafinal", "kernel_id": "11215486"}]}
{"competition_id": "21443", "kernels": []}
{"competition_id": "21461", "kernels": []}
{"competition_id": "21467", "kernels": []}
{"competition_id": "21483", "kernels": []}
{"competition_id": "21485", "kernels": []}
{"competition_id": "21492", "kernels": [{"ref": "ssenauyr/final-project", "kernel_id": "120540718"}]}
{"competition_id": "21498", "kernels": []}
{"competition_id": "21502", "kernels": []}
{"competition_id": "21504", "kernels": [{"ref": "yjching/sas-viya-python-starter", "kernel_id": "10757401"}, {"ref": "yjching/sas-viya-r-starter", "kernel_id": "10757513"}]}
{"competition_id": "21524", "kernels": [{"ref": "gysk97/17011884-1", "kernel_id": "10399028"}, {"ref": "leejinsoo/18011821-1", "kernel_id": "10432565"}, {"ref": "minzzzzi/18011809-1", "kernel_id": "10448339"}, {"ref": "sumyeongjang/18011790", "kernel_id": "10398320"}, {"ref": "jeonginhee/17011851-1", "kernel_id": "10398979"}, {"ref": "sejeonglee/17011850-1", "kernel_id": "10445144"}, {"ref": "kimyeonwooo/17011780-1", "kernel_id": "10444799"}, {"ref": "mingxoxo/18011793", "kernel_id": "10398690"}, {"ref": "suzykwag/18011797-1", "kernel_id": "10398400"}, {"ref": "hyeinhailey/17011869-1", "kernel_id": "10412828"}, {"ref": "joeunseo29/18011884-code", "kernel_id": "10398246"}, {"ref": "hellokwon/18011834", "kernel_id": "10398225"}, {"ref": "ahndohee/18011750-1", "kernel_id": "10398547"}, {"ref": "forstudydday/18011759-1", "kernel_id": "10398659"}]}
{"competition_id": "21527", "kernels": [{"ref": "gysk97/17011884-2", "kernel_id": "10399044"}, {"ref": "leejinsoo/18011821-2", "kernel_id": "10432623"}, {"ref": "minzzzzi/18011809-2", "kernel_id": "10448501"}, {"ref": "sejeonglee/17011850-2", "kernel_id": "10445173"}, {"ref": "mingxoxo/18011793-2", "kernel_id": "10398753"}, {"ref": "suzykwag/18011797-2", "kernel_id": "10398537"}, {"ref": "hyeinhailey/17011869-2", "kernel_id": "10412775"}, {"ref": "joeunseo29/18011884-2", "kernel_id": "10398748"}, {"ref": "hellokwon/18011834-2", "kernel_id": "10398377"}]}
{"competition_id": "21528", "kernels": [{"ref": "leejinsoo/18011821-3", "kernel_id": "10432682"}, {"ref": "mingxoxo/18011793-3", "kernel_id": "10398770"}, {"ref": "hyeinhailey/17011869-3", "kernel_id": "10412727"}]}
{"competition_id": "21529", "kernels": [{"ref": "sumyeongjang/18011790-4", "kernel_id": "10398490"}, {"ref": "mingxoxo/18011793-4", "kernel_id": "10398793"}, {"ref": "hyeinhailey/17011869-4", "kernel_id": "10412613"}]}
{"competition_id": "21530", "kernels": []}
{"competition_id": "21531", "kernels": []}
{"competition_id": "21533", "kernels": []}
{"competition_id": "21535", "kernels": [{"ref": "rashikrahmanpritom/campus-recruitment-prediction", "kernel_id": "10433665"}, {"ref": "chawthinn21/campus-placement-prediction-using-ml-classifiers", "kernel_id": "86005062"}]}
{"competition_id": "21537", "kernels": []}
{"competition_id": "21540", "kernels": []}
{"competition_id": "21561", "kernels": []}
{"competition_id": "21572", "kernels": []}
{"competition_id": "21583", "kernels": [{"ref": "berkayertemm/covid19-x-ray", "kernel_id": "14479744"}]}
{"competition_id": "21587", "kernels": [{"ref": "minoru/ykc-2nd-starter-lgb", "kernel_id": "10657676"}, {"ref": "minoru/ykc-2nd-starter-nn", "kernel_id": "10658545"}, {"ref": "code1110/ykc-cup-2nd-no-nlp-baseline", "kernel_id": "10540707"}, {"ref": "code1110/ykc-cup-2nd-words-eda", "kernel_id": "10592652"}, {"ref": "code1110/ykc-2nd-neuralnet-starter", "kernel_id": "10608044"}, {"ref": "sorashido/yca-cup-2nd-bert", "kernel_id": "10561288"}, {"ref": "sorashido/yca-cup-2nd-eda", "kernel_id": "10537304"}, {"ref": "mrkmakr/ykc-cup-2nd-nn-last-gpu", "kernel_id": "10662759"}, {"ref": "mrkmakr/ykc-2nd-starter", "kernel_id": "10447924"}, {"ref": "mrkmakr/ykc-2nd-save-fasttext", "kernel_id": "10446893"}, {"ref": "mrkmakr/ykc-cup-2nd-lgbm", "kernel_id": "10483453"}, {"ref": "hatunina/ykc-2nd-nn-v2", "kernel_id": "10626364"}, {"ref": "ikechan/ykc-2nd-mlp-with-fasttext", "kernel_id": "10624860"}, {"ref": "gpiyama2119/nn-lightgbm-svm-rf-with-fasttext-and-tf-idf", "kernel_id": "10590805"}]}
{"competition_id": "21591", "kernels": []}
{"competition_id": "21603", "kernels": []}
{"competition_id": "21610", "kernels": [{"ref": "mosnoiion/regresia-liniara-popularitatea-cantecelor", "kernel_id": "11419438"}, {"ref": "mosnoiion/prezicerea-popularitatii-fara-ml-d", "kernel_id": "11109286"}]}
{"competition_id": "21619", "kernels": []}
{"competition_id": "21623", "kernels": [{"ref": "deepakat002/system-hack-dealing-with-imbalanced-data", "kernel_id": "11090579"}]}
{"competition_id": "21626", "kernels": []}
{"competition_id": "21629", "kernels": []}
{"competition_id": "21633", "kernels": [{"ref": "marlesson/simple-pytorch-model", "kernel_id": "10566584"}, {"ref": "adrianoavelar/kdd-starter-kernel", "kernel_id": "10690055"}, {"ref": "maffei2443/eda-correlacoes", "kernel_id": "11150682"}, {"ref": "maffei2443/eda-nan-focus", "kernel_id": "11640882"}, {"ref": "maffei2443/reducing-features-por-favor", "kernel_id": "11671512"}, {"ref": "maffei2443/xgb-gpu", "kernel_id": "11578639"}, {"ref": "maffei2443/pca-mixed", "kernel_id": "11736348"}, {"ref": "adrianoavelar/segundatentativa", "kernel_id": "11392607"}, {"ref": "rockfall/notebookkddbr-flearning-python", "kernel_id": "15601916"}, {"ref": "rockfall/notebookkddbr-flearning-r", "kernel_id": "15601959"}]}
{"competition_id": "21638", "kernels": []}
{"competition_id": "21641", "kernels": []}
{"competition_id": "21649", "kernels": []}
{"competition_id": "21651", "kernels": [{"ref": "elvinagammed/dealing-with-large-dfs-feather-format-x5-times", "kernel_id": "11836406"}, {"ref": "elvinagammed/deal-with-large-dfs-reduce-the-size-of-df-to-36", "kernel_id": "11836219"}, {"ref": "elvinagammed/dealing-with-large-dfs-parquet-format-x5-times", "kernel_id": "11836545"}, {"ref": "mikel1/mike-simple-predictor", "kernel_id": "12349625"}, {"ref": "leadbest/sakt-self-attentive-knowledge-tracing-submitter", "kernel_id": "12591393"}, {"ref": "vivektewari2000/modeltest", "kernel_id": "12977627"}, {"ref": "titericz/pandas-cudf-meanresult-difference", "kernel_id": "12665118"}, {"ref": "gilfernandes/fastai-single-nn", "kernel_id": "12553191"}, {"ref": "hongweizhang/reordered-by-time", "kernel_id": "12234486"}, {"ref": "beluga606/train-val-split-on-subset-of-users", "kernel_id": "12882864"}, {"ref": "danofer/riiid-eda-feature-engineering-and-models", "kernel_id": "12205770"}, {"ref": "rohanrao/riiid-ftrl-ftw", "kernel_id": "12326481"}, {"ref": "rohanrao/riiid-with-blazing-fast-rid", "kernel_id": "12173416"}, {"ref": "rohanrao/tutorial-on-reading-large-datasets", "kernel_id": "12234125"}, {"ref": "hengck23/notebookcdb764afc6", "kernel_id": "12147584"}, {"ref": "hengck23/notebookf100a7833c", "kernel_id": "12542899"}, {"ref": "ryati131457/riiid-file-convert-feather", "kernel_id": "12152664"}, {"ref": "amaity0/riiid-catboost-attempt", "kernel_id": "12498736"}, {"ref": "subbuvolvosekar/riiid-seaborn-plotly-visualization", "kernel_id": "12199551"}, {"ref": "thomasseleck/beating-the-benchmark-with-lightgbm", "kernel_id": "12116541"}, {"ref": "arpitsolanki14/rapids-exploratory-analysis-xgboost-prediction", "kernel_id": "12622889"}, {"ref": "tereka/pandas-cudf-meanresult-difference", "kernel_id": "12658471"}, {"ref": "onodera/riiid-read-csv-in-cudf", "kernel_id": "12213508"}, {"ref": "wangsg/saint-model", "kernel_id": "12637219"}, {"ref": "praveengovi/riiid-model-explainability", "kernel_id": "12618268"}, {"ref": "narcissusroy/llxls", "kernel_id": "12365253"}, {"ref": "narcissusroy/ready123", "kernel_id": "12655548"}, {"ref": "marcinstasko/capstone-project", "kernel_id": "12327058"}, {"ref": "tkm2261/riiid-correctness-with-question-feats", "kernel_id": "12145961"}, {"ref": "tkm2261/fast-pandas-left-join-357x-faster-than-pd-merge", "kernel_id": "12868300"}, {"ref": "gautham11/riiid-become-one-with-the-data-eda", "kernel_id": "12171782"}, {"ref": "bocchi/baseline-mean-of-first-trials", "kernel_id": "12178806"}, {"ref": "ksvmuralidhar/riiid-exploratory-data-analysis", "kernel_id": "12240823"}, {"ref": "paulorzp/mean-of-answered-correctly-with-all-rows", "kernel_id": "12135505"}, {"ref": "its7171/can-we-trust-pandas-mean", "kernel_id": "12624807"}, {"ref": "its7171/cv-strategy", "kernel_id": "12645778"}, {"ref": "its7171/time-series-api-iter-test-emulator", "kernel_id": "12656428"}, {"ref": "its7171/lgbm-with-loop-feature-engineering", "kernel_id": "12740569"}, {"ref": "aravindpadman/riiid-statistical-analysis-on-repeated-questions", "kernel_id": "12587713"}, {"ref": "aravindpadman/riiid-super-fast-eda-on-gpu-using-rapids", "kernel_id": "12175189"}, {"ref": "code1110/riiid-gbdt-pipeline-baseline", "kernel_id": "12204007"}, {"ref": "code1110/riiid-lgb-hyperparameter-tuning", "kernel_id": "12195846"}, {"ref": "code1110/riiid-keras-logisitc-regression-for-analytics", "kernel_id": "12199117"}, {"ref": "code1110/riiid-lgb-inference-from-pretrained-model", "kernel_id": "12337739"}, {"ref": "code1110/riiid-lgb-training-and-save-model", "kernel_id": "12335924"}, {"ref": "acmiyaguchi/parquet-conversion-with-pyspark", "kernel_id": "12836089"}, {"ref": "radema/sub-notebook", "kernel_id": "12373274"}, {"ref": "radema/feature-engineering-datasets", "kernel_id": "12487381"}, {"ref": "radema/model-building-with-cumulative-features", "kernel_id": "12354191"}, {"ref": "radema/riiid-just-another-eda-tag-clustering-wip", "kernel_id": "12193953"}, {"ref": "sirishks/cant-load-train-data", "kernel_id": "12117082"}, {"ref": "legend507/riiid-answer-correctness-prediction-eda-model", "kernel_id": "12620413"}, {"ref": "artgor/riiid-eda-feature-engineering-and-models", "kernel_id": "12121933"}, {"ref": "isaienkov/lgbm-optuna-rfe", "kernel_id": "12617386"}, {"ref": "isaienkov/riiid-answer-correctness-prediction-keras-nn-2", "kernel_id": "12710581"}, {"ref": "isaienkov/riiid-answer-correctness-prediction-eda-modeling", "kernel_id": "12115301"}, {"ref": "isaienkov/riiid-answer-correctness-prediction-keras-nn", "kernel_id": "12245455"}, {"ref": "srijita97/cnn-saving", "kernel_id": "12836469"}, {"ref": "mamasinkgs/submission-with-7000-limit", "kernel_id": "12465373"}, {"ref": "calebeverett/riiid-submit", "kernel_id": "12677583"}, {"ref": "calebeverett/validation-set-generator", "kernel_id": "12425484"}, {"ref": "calebeverett/riiid-bigquery-xgboost-end-to-end", "kernel_id": "12536429"}, {"ref": "calebeverett/riiid-folding-is-fun", "kernel_id": "12979649"}, {"ref": "patilnitin23/riiid-eda", "kernel_id": "12135103"}, {"ref": "yuxiliuasana/riiid", "kernel_id": "12947262"}, {"ref": "adityaecdrid/pytorch-demystifying-transformers", "kernel_id": "12838981"}, {"ref": "worldkeeping/deep-exploration-of-meanings-of-some-features", "kernel_id": "12241967"}, {"ref": "izarortin/notebook345dfb4473", "kernel_id": "12264834"}, {"ref": "shyjohn/shy-john-riid-submission", "kernel_id": "12310562"}, {"ref": "currypurin/riiid-reading-train-data-with-feather-datatable", "kernel_id": "12213795"}, {"ref": "ilialar/riiid-5-folds-double-validation", "kernel_id": "12214766"}, {"ref": "ilialar/simple-eda-and-baseline", "kernel_id": "12120485"}, {"ref": "shubhamnagaria96/notebook97e3a75264", "kernel_id": "12629751"}, {"ref": "rautaki0127/riiid-lgbm-xgb-catboost-sklearn-ensemble", "kernel_id": "12145012"}, {"ref": "shahules/pytorch-entity-embedding", "kernel_id": "12196434"}, {"ref": "aralai/riiid-feather-dataset", "kernel_id": "12264646"}, {"ref": "aralai/riiid-classification-using-naive-bayes", "kernel_id": "12374937"}, {"ref": "aralai/riiid-creating-a-test-dataset", "kernel_id": "12470707"}, {"ref": "cshorten30/helloworld-riiid", "kernel_id": "12579761"}, {"ref": "cshorten30/starter", "kernel_id": "12769308"}, {"ref": "yeonghyeon/riiid-step-by-step-guide-for-beginner-eda-pytorch", "kernel_id": "12164211"}, {"ref": "manimaranp/riid-simple-eda", "kernel_id": "12182058"}, {"ref": "rimsky/checking-test-set-for-new-questions-and-users", "kernel_id": "12180480"}, {"ref": "sohier/quick-sample-submission", "kernel_id": "12112121"}, {"ref": "sohier/competition-api-detailed-introduction", "kernel_id": "12112161"}, {"ref": "kamalnaithani/riiid-correctness", "kernel_id": "12116223"}, {"ref": "alanchn31/riid-beginner-s-eda-data-understanding", "kernel_id": "12131165"}, {"ref": "ghostskipper/tracking-the-leaderboard", "kernel_id": "12461575"}, {"ref": "jamesliew2017/notebook-riiid-1104", "kernel_id": "12688244"}, {"ref": "chenmingml/dnn-based-on-lgbm-iii-data-preparation", "kernel_id": "12659758"}, {"ref": "salimkhazem/tuned-lgbm", "kernel_id": "12226108"}, {"ref": "ulrich07/riiid-keras-nnet-on-full-dataset-inference", "kernel_id": "12340105"}, {"ref": "ulrich07/riiid-keras-nnet-on-full-dataset-training", "kernel_id": "12339784"}, {"ref": "ulrich07/riiid-keras-starter", "kernel_id": "12134364"}, {"ref": "arbazkhan971/automated-eda-using-sweetviz-pandas-visual-d-tale", "kernel_id": "12124606"}, {"ref": "vpkprasanna/riiid-with-blazing-fast-rid-using-dask", "kernel_id": "12187734"}, {"ref": "erikbruin/riiid-comprehensive-eda-baseline", "kernel_id": "12338031"}, {"ref": "soma62jp/riiid-lightgbm-exam", "kernel_id": "12388436"}, {"ref": "yamsam/riiid-lgbm-simple-hpo", "kernel_id": "12185810"}, {"ref": "yamsam/riiid-feather-format", "kernel_id": "12194663"}, {"ref": "takamichitoda/riiid-make-cv-index", "kernel_id": "12250978"}, {"ref": "takamichitoda/riiid-create-sql", "kernel_id": "12563892"}, {"ref": "takamichitoda/riiid-analysis-question-tags", "kernel_id": "12540340"}, {"ref": "kneroma/riid-user-and-content-mean-predictor", "kernel_id": "12134464"}, {"ref": "pavelvpster/riiid-fe-target-encoding-keras", "kernel_id": "12185415"}, {"ref": "pavelvpster/riiid-target-encoding-sgd", "kernel_id": "12122431"}, {"ref": "schwiftyscientist/an-exploratory-data-analysis-of-riiid-in-r", "kernel_id": "12515939"}, {"ref": "rajnishe/riiid-read-full-file-dask-api", "kernel_id": "12163873"}, {"ref": "yihdarshieh/riiid-verifying-private-test-dataset-properties", "kernel_id": "12245922"}, {"ref": "yihdarshieh/starter-ednet-tfrecords-sequential", "kernel_id": "12175456"}, {"ref": "jiny333/exploring-questions-csv-with-domain-knowledge", "kernel_id": "12119657"}, {"ref": "xiaobw95/riiid-bx", "kernel_id": "12363995"}, {"ref": "sunilmahala/riiid-eda", "kernel_id": "12297554"}, {"ref": "sunilmahala/riid-fe-modeling", "kernel_id": "12378214"}, {"ref": "berobillard/riid-shared-modeling", "kernel_id": "12983412"}, {"ref": "buin6319/riiidi", "kernel_id": "12936105"}, {"ref": "diamondsnake/riiid-answer-correctness-prediction", "kernel_id": "12237408"}, {"ref": "sishihara/riiid-pandas-memory-usage-analysis", "kernel_id": "12132579"}, {"ref": "sishihara/riiid-lgbm-5cv-benchmark", "kernel_id": "12115681"}, {"ref": "sishihara/riiid-answered-correctly-benchmark", "kernel_id": "12115269"}, {"ref": "jesseschouten/model", "kernel_id": "12278841"}, {"ref": "jesseschouten/model-new", "kernel_id": "12320648"}, {"ref": "jcesquiveld/riiid-aied-part-i-memory-optimization", "kernel_id": "12968812"}, {"ref": "jcesquiveld/riiid-aied-part-iii-feature-engineering", "kernel_id": "12970622"}, {"ref": "jcesquiveld/lightgbm-baseline-with-basic-features", "kernel_id": "12648223"}, {"ref": "deepakmys/riiid-eda-with-dask", "kernel_id": "12987487"}, {"ref": "anaprec07/gridsearch-gradient-boosting", "kernel_id": "12560191"}, {"ref": "claverru/demystifying-transformers-let-s-make-it-public", "kernel_id": "12810994"}, {"ref": "dwchen/riiid-simpleeda-and-prediction-1m-data", "kernel_id": "12117074"}, {"ref": "dwchen/riiid-test-simpleeda-10m-data", "kernel_id": "12115164"}, {"ref": "thecamilovisk/loading-with-datatable", "kernel_id": "12481885"}, {"ref": "sachinrajput17/riiid-data-eda", "kernel_id": "12163007"}, {"ref": "kei96kag/riiid-eda-data-understanding-by-r", "kernel_id": "12364204"}, {"ref": "spacelx/2020-r3id-incremental-learning-pytorch-creme", "kernel_id": "12218117"}, {"ref": "spacelx/2020-r3id-clustering-question-tags", "kernel_id": "12859518"}, {"ref": "kelink/riiid-lgbm-starter", "kernel_id": "12566517"}, {"ref": "akashsuper2000/lgbm-iii", "kernel_id": "12521441"}, {"ref": "akashsuper2000/lgbm-iii-part3-adding-lecture-features", "kernel_id": "12612471"}, {"ref": "anhtu96/riiid-create-input-data", "kernel_id": "12997263"}, {"ref": "xplorer42/riiid-describing-and-analyzing", "kernel_id": "12147913"}, {"ref": "sayedathar11/riiid-mean-user-accuracy-baseline", "kernel_id": "12369124"}, {"ref": "sayedathar11/riiid-lgbm-hyperopt-paramstuning", "kernel_id": "12434607"}, {"ref": "sayedathar11/riiid-eda-let-s-explore", "kernel_id": "12197695"}, {"ref": "pratikskarnik/riiid-keras-transformer-starter", "kernel_id": "12564092"}, {"ref": "pratikskarnik/riid-keras", "kernel_id": "12541945"}, {"ref": "nitindatta/eda-with-r3-id", "kernel_id": "12143279"}, {"ref": "subash03/riiid-simple-average-no-modeling-eda", "kernel_id": "12123404"}, {"ref": "demetium/time-series-api-iter-test-emulator", "kernel_id": "12730942"}, {"ref": "spivakp/riiid", "kernel_id": "12801895"}, {"ref": "kool777/riiid-aied-challenge-2020-extensive-eda", "kernel_id": "12143588"}, {"ref": "swarajshinde/riiid-answer-correctness-eda-baseline", "kernel_id": "12122485"}, {"ref": "rdboyes/r-starter-notebook", "kernel_id": "12117492"}, {"ref": "pawan2905/riiid-answer-correctness-prediction", "kernel_id": "12214324"}, {"ref": "omega1996/randomforest", "kernel_id": "12469107"}, {"ref": "samihadouaj/simple-model-for-begginers", "kernel_id": "12216765"}, {"ref": "iicyan/japanese-riiid-aied-introduction", "kernel_id": "12435152"}, {"ref": "kotarosatoh/riiid-lightgbm-model-ver1", "kernel_id": "12456053"}, {"ref": "yangam/riiid-keras-starter-with-additional-data", "kernel_id": "12754742"}, {"ref": "eudmar/riiid-eda-comparing-models", "kernel_id": "12132134"}, {"ref": "houssemayed/lightgbm-for-riiid", "kernel_id": "12829215"}, {"ref": "chizuchizu/useful-preprocessing-and-simple-features", "kernel_id": "12128929"}, {"ref": "creditor/riiid-cudf-vs-joblib-vs-feather", "kernel_id": "12215551"}, {"ref": "gdwainwnog/add-lecture-cumsum-version3", "kernel_id": "12665630"}, {"ref": "gdwainwnog/create-user-info", "kernel_id": "12602147"}, {"ref": "abdurrafae/simulating-pipeline-for-test-data", "kernel_id": "12490859"}, {"ref": "colomba/riiid-let-s-walk-around-data-tags", "kernel_id": "12907367"}, {"ref": "biackapaduzelir/riiid", "kernel_id": "12264978"}, {"ref": "yaroslavmavliutov/riiid-answer-correctness-prediction-basic-eda", "kernel_id": "12134554"}, {"ref": "yaroslavmavliutov/riiid-prediction-cnn-keras-0-751", "kernel_id": "12252993"}, {"ref": "hcornier/riiid-challenge-eda-baseline-model", "kernel_id": "12446865"}, {"ref": "gunesevitan/riiid-answer-correctness-prediction-eda", "kernel_id": "12145569"}, {"ref": "winhack07/riiid-lightgbm-gbc-ada", "kernel_id": "12806100"}, {"ref": "sahabudin9/correctness-prediction", "kernel_id": "12122029"}, {"ref": "maunish/riiid-super-cool-eda-and-pytorch-baseline", "kernel_id": "12161544"}, {"ref": "domizianostingi/timestamp-trasformation", "kernel_id": "12185834"}, {"ref": "domizianostingi/second-model", "kernel_id": "12234242"}, {"ref": "domizianostingi/first-model", "kernel_id": "12154147"}, {"ref": "sergei416/hyperparameter-tuning-lgb-ii", "kernel_id": "12687471"}, {"ref": "sergei416/hyperparameter-grid-search-lgbm", "kernel_id": "12668001"}, {"ref": "mpwolke/re-thinking-education", "kernel_id": "12140521"}, {"ref": "iuryck/submission", "kernel_id": "12554775"}, {"ref": "kuroyuli/riiid-eda-with-full-data-some-rows-to-be-removed", "kernel_id": "12389459"}, {"ref": "nastarcookies7/riiid-test-answer-prediction", "kernel_id": "12239442"}, {"ref": "hyper96unsupervised/riiid-note-book2", "kernel_id": "12181469"}, {"ref": "clelong95/riid-answer-prediction-data-exploration", "kernel_id": "12690890"}, {"ref": "sanabdriss/eda-on-questions-explanations-heuristic-model", "kernel_id": "12175641"}, {"ref": "jagands/riiid-eda", "kernel_id": "12997216"}, {"ref": "gogo827jz/riiid-neural-oblivious-decision-ensembles", "kernel_id": "12401803"}, {"ref": "anaidashaginian/riiid-eda-and-feature-preprocessing-of-train-test", "kernel_id": "12417629"}, {"ref": "aykhanpy/riiid-answer-correctness-prediction-eda", "kernel_id": "12115077"}, {"ref": "yohannwattiez/eda-riiid", "kernel_id": "12137026"}, {"ref": "yohannwattiez/example-of-prediction-with-randomforest", "kernel_id": "12133422"}, {"ref": "kagglebrun/random-forest-boosting-in-lgb", "kernel_id": "12400408"}, {"ref": "vikassingh1996/riiid-eda-fe-and-feature-importance", "kernel_id": "12149792"}, {"ref": "tusharcode/riiid-answer-correctness-prediction-full-pipeline", "kernel_id": "12535134"}, {"ref": "shivanandmn/cnn-lstm-pytorch-riiid", "kernel_id": "12597254"}, {"ref": "t88take/riiid-eda-some-user-behaviors", "kernel_id": "12589962"}, {"ref": "piantic/riiid-answer-correctness-prediction-basic-eda", "kernel_id": "12114769"}, {"ref": "dmikar/baseline-for-riiid-lightgbm", "kernel_id": "12997139"}, {"ref": "narayana2020/r-lightgbm-riiid", "kernel_id": "12249790"}, {"ref": "wuwenmin/lgb-hyper-opt", "kernel_id": "12866169"}, {"ref": "andradaolteanu/answer-correctness-rapids-xgb-lgbm", "kernel_id": "12374753"}, {"ref": "catadanna/riiid-preprocess", "kernel_id": "12747720"}, {"ref": "sreejaej/riid-eda-correlation-with-summarised-artefacts", "kernel_id": "12744241"}, {"ref": "sreejaej/riid-correctness-of-fe-ensures-better-score", "kernel_id": "12952261"}, {"ref": "rar4dx/two-feature-model", "kernel_id": "12575709"}, {"ref": "deepakdeepu8978/riiid-competition-eda-feature-eng-models", "kernel_id": "12132917"}, {"ref": "dwit392/simple-lgbm-3-feature-model", "kernel_id": "12152761"}, {"ref": "dwit392/expanding-on-simple-lgbm", "kernel_id": "12168955"}, {"ref": "dwit392/lgbm-iii", "kernel_id": "12259184"}, {"ref": "dwit392/riiid-challenge-time-since-last-action-for-test", "kernel_id": "12327152"}, {"ref": "harshitaved/h-riiid-aied-challenge-2020", "kernel_id": "12176623"}, {"ref": "janmalin/riiid-tisne-projection", "kernel_id": "12358297"}, {"ref": "tchaye59/riiid-dataset-to-feather", "kernel_id": "12449053"}, {"ref": "tchaye59/riiid-just-submit", "kernel_id": "12815951"}, {"ref": "sebastianji/eda-riiid", "kernel_id": "12790189"}, {"ref": "quan030894/riiid-competition", "kernel_id": "12681812"}, {"ref": "beable/lgbmclassifier-submission", "kernel_id": "12839274"}, {"ref": "beable/lgbm-with-parameters-features-selection", "kernel_id": "12838315"}, {"ref": "tomooinubushi/inference-must-be-0-55-sec-iter", "kernel_id": "12682124"}, {"ref": "nickimpark/riiid-trytobebest", "kernel_id": "12204163"}, {"ref": "naim99/correlation-eda", "kernel_id": "12115889"}, {"ref": "naim99/lgbm-explanation", "kernel_id": "12118451"}, {"ref": "naim99/eda-riiid", "kernel_id": "12127930"}, {"ref": "akashadesai/riiid-naive-baseline-online-vs-static-learning", "kernel_id": "12356557"}, {"ref": "daihaoxue/walk-through", "kernel_id": "12899802"}, {"ref": "nayuts/riiid-memory-saving-simple-visualization", "kernel_id": "12119035"}, {"ref": "binman159/riiid", "kernel_id": "12132703"}, {"ref": "chumajin/eda-for-biginner", "kernel_id": "12814361"}, {"ref": "yash88/lgbm-iii-part3-adding-lecture-features-by-yash", "kernel_id": "12638592"}, {"ref": "roshankumarg/4-c-s-every-data-passionate-must-know", "kernel_id": "12549346"}, {"ref": "roshankumarg/extensive-guide-to-exploratory-data-analysis", "kernel_id": "12522302"}, {"ref": "taherhaggui/datas-exploration-and-validate-important-features", "kernel_id": "12493004"}, {"ref": "carlmcbrideellis/riiid-eda-and-feature-importance", "kernel_id": "12115179"}, {"ref": "yumiyashi131/model-focusing-on-parts-and-difficulties", "kernel_id": "12571705"}, {"ref": "doctorkael/riiid-pandas-baseline-online-vs-static-learning", "kernel_id": "12277945"}, {"ref": "doctorkael/riiid-lgb-ftrl-data-gen-and-training-logic", "kernel_id": "12351481"}, {"ref": "lgreig/riiid-pydatatable-starter", "kernel_id": "12245559"}, {"ref": "lgreig/simple-logistic-baseline", "kernel_id": "12139794"}, {"ref": "lgreig/simple-lgbm-baseline", "kernel_id": "12141153"}, {"ref": "tamilsel/riiid-exploration-lightgbm-beginner-kit", "kernel_id": "12129110"}, {"ref": "mrutyunjaybiswal/riiid-answer-correctness-prediction-lgbm-fe", "kernel_id": "12606283"}, {"ref": "mrutyunjaybiswal/riiid-neural-nets-starter-with-keras-tuner", "kernel_id": "12149374"}, {"ref": "mrutyunjaybiswal/riiid-aied-challenge-2020-data-exploration-and-fe", "kernel_id": "12118108"}, {"ref": "andrluiztiagosoares/ratingstrategy", "kernel_id": "12191445"}, {"ref": "rajgandhi/riiid-answer-correctness-prediction", "kernel_id": "12588669"}, {"ref": "nareshbhat/riiid-catboost-lgbm-model-ensembling", "kernel_id": "12125655"}, {"ref": "abhishekprajapat/riiid-eda-and-predictions", "kernel_id": "12123865"}, {"ref": "huangheqing/notebookfd4c3c016e", "kernel_id": "12490769"}, {"ref": "kiranbeethoju/this-is-how-you-can-load-it-quickly", "kernel_id": "12115250"}, {"ref": "capcloudcoder/riid-eda-with-questions-oom-data-modeling", "kernel_id": "12747576"}, {"ref": "sarthakrastogi/neural-net-for-riiid-1", "kernel_id": "12933489"}, {"ref": "tuckerarrants/riiid-fasttext-embeddings", "kernel_id": "12228452"}, {"ref": "markwijkhuizen/riiid-training-and-prediction-using-a-state", "kernel_id": "12917326"}, {"ref": "samratthapa/inference-using-pandas-vs-inference-using-numpy", "kernel_id": "12957302"}, {"ref": "alexj21/riiid-tabnet-starter-kernel", "kernel_id": "12216020"}, {"ref": "sianyuan/notebook35bea02972", "kernel_id": "12465822"}, {"ref": "makarbaderko/eda-data-visualization-model", "kernel_id": "12218555"}, {"ref": "datafan07/riiid-challenge-eda-baseline-model", "kernel_id": "12304609"}, {"ref": "adrian1903/cleaning-users-features-engineering", "kernel_id": "12933801"}, {"ref": "rikozhushko/eda-for-biginner", "kernel_id": "12972588"}, {"ref": "tylerpike/riid-submission-notebook-simple-ensemble", "kernel_id": "12322170"}, {"ref": "supetronix/riiid-skorch-rnn-embedding", "kernel_id": "12364699"}, {"ref": "jtirado/riiids-educational-to-pickle-format", "kernel_id": "12974100"}, {"ref": "aidtaleb/riiid-competetion", "kernel_id": "12460531"}, {"ref": "duythanhng/riiid-answer-correctness-notebook-collection", "kernel_id": "12181856"}, {"ref": "chitramdasgupta/nice-and-simple-eda", "kernel_id": "12125950"}, {"ref": "tnkcom/lightgbm-baseline-with-basic-features", "kernel_id": "12796313"}, {"ref": "tomonorisasaki/eda-attempts", "kernel_id": "12225954"}, {"ref": "aman2114/lgbm-fe-val1", "kernel_id": "12230567"}, {"ref": "aman2114/riid-education", "kernel_id": "12132344"}, {"ref": "takamotoki/lgbm-iii-part2", "kernel_id": "12410393"}, {"ref": "takamotoki/lgbm-iii-part3-adding-lecture-features", "kernel_id": "12530305"}, {"ref": "shivamjohri/riiid-ensemble-modeling-starter-notebook", "kernel_id": "12185124"}, {"ref": "shivamjohri/riiid-catboost-starter-notebook", "kernel_id": "12163025"}, {"ref": "rajpratyush/notebook2102dae680", "kernel_id": "12563853"}, {"ref": "sahilmaheshwari/what-we-know-about-riids-so-far", "kernel_id": "12977106"}, {"ref": "yutohisamatsu/riiid-eda-in-detail", "kernel_id": "12332582"}, {"ref": "yutohisamatsu/riiid-lgbm-simple-baseline", "kernel_id": "12179420"}, {"ref": "yutohisamatsu/riiid-eda-baseline", "kernel_id": "12180190"}, {"ref": "yutinghanmg/notebook7f3ceff127", "kernel_id": "12398655"}, {"ref": "yutinghanmg/notebookf9ae8c4202", "kernel_id": "12390265"}, {"ref": "anushakasi/riiid-eda-starter", "kernel_id": "12160507"}, {"ref": "mrkumar90/riiid-answer-correctness-prediction-sk", "kernel_id": "12182737"}, {"ref": "kevinnwu/riid-eda", "kernel_id": "12153913"}, {"ref": "riteshkrjha/riiid-quick-tabnet-vs-xgboost", "kernel_id": "12487914"}, {"ref": "mamun18/riiid-lgbm-lii-hyperparameter-tuning-optuna", "kernel_id": "12470813"}, {"ref": "brendanartley/pandas-riiid-attempt", "kernel_id": "12945919"}, {"ref": "mayank7080/notebookda718bac31", "kernel_id": "12217284"}, {"ref": "sridharjayadavan/dnn-based-lgbm", "kernel_id": "12838416"}, {"ref": "braysen/neural-network", "kernel_id": "12958982"}, {"ref": "braysen/ridd-baseline", "kernel_id": "12901904"}, {"ref": "jasonmjfu/riiid", "kernel_id": "12231435"}, {"ref": "jasonmjfu/lgbm-of-riiid", "kernel_id": "12483347"}, {"ref": "niaibrahim/fork-of-notebook-12406877-68d236", "kernel_id": "12520667"}, {"ref": "niaibrahim/naive-bayes-algorithm-group-1a", "kernel_id": "12493641"}, {"ref": "niaibrahim/notebook-12406877", "kernel_id": "12425324"}, {"ref": "niaibrahim/riiid-prediction-cnn-keras", "kernel_id": "12583112"}, {"ref": "niaibrahim/riiid-keras-starter", "kernel_id": "12582838"}, {"ref": "niaibrahim/riiid-answer-correctness-prediction-basic-eda", "kernel_id": "12572777"}, {"ref": "niaibrahim/karas-nn-epoch-30-dense-layer-2", "kernel_id": "12965950"}, {"ref": "niaibrahim/fork-of-basic-karas-nn-frac-100", "kernel_id": "12965960"}, {"ref": "niaibrahim/karas-nn-cant-figure-out-submission-code", "kernel_id": "12902907"}, {"ref": "niaibrahim/fork-of-basic-karas-nn-made-epoch-small-for-ab0e82", "kernel_id": "12935361"}, {"ref": "niaibrahim/karas-nn-epoch-30", "kernel_id": "12944427"}, {"ref": "niaibrahim/karas-nn-epoch-30-dc7119", "kernel_id": "12944434"}, {"ref": "niaibrahim/fork-of-fork-of-basic-karas-nn-made-epoch-s-178786", "kernel_id": "12925224"}, {"ref": "niaibrahim/fork-of-basic-karas-nn-made-epoch-small-for-cdfda5", "kernel_id": "12923704"}, {"ref": "niaibrahim/fork-of-fork-of-basic-karas-nn-made-epoch-small-fo", "kernel_id": "12923471"}, {"ref": "niaibrahim/basic-karas-nn-made-epoch-small-for-save-07-344d26", "kernel_id": "12914161"}, {"ref": "niaibrahim/basic-karas-nn-made-epoch-small-for-save-07-86403a", "kernel_id": "12919374"}, {"ref": "niaibrahim/basic-karas-nn-made-epoch-small-for-save-07-d451e0", "kernel_id": "12849734"}, {"ref": "niaibrahim/fork-of-basic-karas-nn-made-epoch-small-for-save-0", "kernel_id": "12829318"}, {"ref": "niaibrahim/keras-nn-and-random-forest-in-chunks", "kernel_id": "12806240"}, {"ref": "niaibrahim/basic-karas-nn-made-epoch-small-for-save-074eb7", "kernel_id": "12754623"}, {"ref": "kotttok/notebook0aa96f77ee", "kernel_id": "12372868"}, {"ref": "saijasthi/fork-of-baseline", "kernel_id": "12602937"}, {"ref": "saijasthi/lr-0-01-batch-size-500000", "kernel_id": "12602962"}, {"ref": "saijasthi/lr-0-0001", "kernel_id": "12602982"}, {"ref": "saijasthi/tryingnn", "kernel_id": "12582531"}, {"ref": "saijasthi/baseline", "kernel_id": "12583160"}, {"ref": "saijasthi/basic-karas-nn-made-epoch-small-for-save-658771", "kernel_id": "12717092"}, {"ref": "saijasthi/basic-karas-nn-made-epoch-small-for-save-074eb7", "kernel_id": "12728111"}, {"ref": "saijasthi/notebook-12406877", "kernel_id": "12406877"}, {"ref": "saijasthi/notebookda000af63f", "kernel_id": "12405346"}, {"ref": "saijasthi/basic-karas-nn-made-epoch-small-for-save", "kernel_id": "12405501"}, {"ref": "saijasthi/notebook-for-submissions-of-models", "kernel_id": "12406142"}, {"ref": "saijasthi/fork-of-notebook-12406877", "kernel_id": "12425132"}, {"ref": "saijasthi/needs-work", "kernel_id": "12425938"}, {"ref": "saijasthi/riiid-feather-dataset", "kernel_id": "12426632"}, {"ref": "saijasthi/fork-of-naive-bayes-approach-group-a", "kernel_id": "12418654"}, {"ref": "saijasthi/notebook7865ef7a76", "kernel_id": "12560319"}, {"ref": "saijasthi/score-of-625-data-at-10", "kernel_id": "12960059"}, {"ref": "saijasthi/fork-of-basic-karas-nn-made-epoch-small-for-save-0", "kernel_id": "12851754"}, {"ref": "saijasthi/karas-nn-epoch-30-data-4-lr-0001", "kernel_id": "12851880"}, {"ref": "saijasthi/convert-csv-to-feather", "kernel_id": "12852660"}, {"ref": "saijasthi/basic-karas-nn-made-epoch-small-for-save-07-f19318", "kernel_id": "12794385"}, {"ref": "ammarnassanalhajali/riiid-answer-correctness-prediction-lgbm", "kernel_id": "12839793"}, {"ref": "ammarnassanalhajali/riiid-answer-correctness-prediction-eda", "kernel_id": "12659477"}, {"ref": "johannesbruch/focus-on-important-features", "kernel_id": "12459039"}, {"ref": "zhenkaizhao/notebook6b1b4b4f1e", "kernel_id": "12520343"}, {"ref": "neinun/eda-draft1", "kernel_id": "12527889"}, {"ref": "swatimugda/riiid-data-visualisation", "kernel_id": "12522739"}, {"ref": "pzk2206/riiid-online-education", "kernel_id": "12446340"}, {"ref": "igorspannenberger/time-series-api-iter-test-emulator-791044", "kernel_id": "12884797"}, {"ref": "igorspannenberger/forcommitpls", "kernel_id": "12885632"}, {"ref": "igorspannenberger/notebook5f81a90978-59e664", "kernel_id": "12603780"}, {"ref": "naveencarali/notebook573b27f50a", "kernel_id": "12610129"}, {"ref": "jk2kgit/notebook170101044f", "kernel_id": "12935189"}, {"ref": "leadbest/sakt-riiid-lgbm-bagging2", "kernel_id": "13484703"}, {"ref": "leadbest/sakt-with-randomization-state-updates", "kernel_id": "13417120"}, {"ref": "gilfernandes/tabnet-fastai-linear-lgb-ensemble-starter", "kernel_id": "13113713"}, {"ref": "gilfernandes/riiid-ignite-starter", "kernel_id": "13291353"}, {"ref": "gilfernandes/riiid-self-attention-transformer", "kernel_id": "13677940"}, {"ref": "jiweiliu/watch-out-the-layout-of-data-when-using-xgb-gpu", "kernel_id": "13592778"}, {"ref": "ceshine/values-to-numpy-vs-itertuples-vs-iterrows", "kernel_id": "13843300"}, {"ref": "chinga/riiid-rasch", "kernel_id": "13992024"}, {"ref": "poesia/riiid-submissions", "kernel_id": "13297155"}, {"ref": "optimo/tabnet-with-loop-feature-engineering-explained", "kernel_id": "13363550"}, {"ref": "amitush/riiid-basic-pipeline", "kernel_id": "13832622"}, {"ref": "amitush/riiid-eda-and-thoughts", "kernel_id": "13486314"}, {"ref": "wangsg/a-self-attentive-model-for-knowledge-tracing", "kernel_id": "13146328"}, {"ref": "ryan5500/riiid-content-clustering-by-k-means", "kernel_id": "13555574"}, {"ref": "rodolphelampe/competition-api-detailed-introduction", "kernel_id": "13720285"}, {"ref": "stautxie/load-pre-trained-r-lightgbm", "kernel_id": "13592035"}, {"ref": "stautxie/riiid-baseline-model-build", "kernel_id": "13577297"}, {"ref": "angstykid92/test-model", "kernel_id": "13235078"}, {"ref": "anjum48/running-c-in-notebooks", "kernel_id": "13387695"}, {"ref": "chistyakov/vowpal-wabbit-with-low-memory-usage", "kernel_id": "13138372"}, {"ref": "aerdem4/riiid-starter", "kernel_id": "13054133"}, {"ref": "ldevyataykina/riiid-exploratory-data-analysis-baseline", "kernel_id": "13328301"}, {"ref": "mpware/sakt-fork", "kernel_id": "13217198"}, {"ref": "a763337092/lgb1215", "kernel_id": "13550162"}, {"ref": "analyticsdojo/tabnet-fastai-linear-lgb-ensemble-starter", "kernel_id": "13293216"}, {"ref": "srijita97/xg-model", "kernel_id": "13419131"}, {"ref": "srijita97/catboost-model", "kernel_id": "13122004"}, {"ref": "srijita97/lightgbm-model", "kernel_id": "13129102"}, {"ref": "calebeverett/test-tid-deltas", "kernel_id": "13737792"}, {"ref": "calebeverett/riiid-mock-test-iterator", "kernel_id": "13211516"}, {"ref": "manuelsanchez/exploratory-analysis-and-first-models", "kernel_id": "13186883"}, {"ref": "adityaecdrid/fork-of-saint-inference-ea970c", "kernel_id": "13408986"}, {"ref": "ayushexel/answer-correctness-w-b-real-time-debu-b397bd", "kernel_id": "13257568"}, {"ref": "narendra/user-performance", "kernel_id": "13383812"}, {"ref": "narendra/riiid-basic-eda", "kernel_id": "13234584"}, {"ref": "narendra/riiiid-sakt-saint", "kernel_id": "13846045"}, {"ref": "narendra/riiiid-saint-sakt-baselinesubmission", "kernel_id": "13869807"}, {"ref": "narendra/riiiid-saint", "kernel_id": "13815211"}, {"ref": "urvishp80/sakt-su-tags-part-inference-256-len", "kernel_id": "13755827"}, {"ref": "urvishp80/saint-256-len-train-2", "kernel_id": "13891972"}, {"ref": "felipebihaiek/saint-clean-loop", "kernel_id": "13708268"}, {"ref": "ragnar123/riiid-model-lgbm", "kernel_id": "13468542"}, {"ref": "stevemju/riiid-simple-elo-rating", "kernel_id": "13653125"}, {"ref": "m10515009/saint-is-all-you-need-inference-private-0-801", "kernel_id": "13949696"}, {"ref": "electro/tag-performance-features", "kernel_id": "13495765"}, {"ref": "electro/a-time-aware-userwise-train-valid-split-method", "kernel_id": "13295554"}, {"ref": "takamichitoda/riiid-create-feature-table-csv", "kernel_id": "13276311"}, {"ref": "nyanpn/lda-feature-for-riiid-part-of-9th-place-lightgbm", "kernel_id": "13272453"}, {"ref": "yihdarshieh/tpu-track-knowledge-states-of-1m-students", "kernel_id": "13367348"}, {"ref": "sirano1004/feature-engineering-lgbm-dkt-saks-saint", "kernel_id": "13475686"}, {"ref": "ash1706/riiid-lgbm-catboost-baseline-weights-optimization", "kernel_id": "13345166"}, {"ref": "binodsuman/answer-correctness-prediction-step-by-step", "kernel_id": "13781053"}, {"ref": "jcesquiveld/riiid-aied-part-ii-splitting", "kernel_id": "13328211"}, {"ref": "filipinogambino/riiid-neural-net", "kernel_id": "13571942"}, {"ref": "filipinogambino/riiid-lightgbm", "kernel_id": "13752832"}, {"ref": "ymatioun/riii-sub-ym", "kernel_id": "13855749"}, {"ref": "bturan19/fast-way-of-retrieving-user-df", "kernel_id": "13377268"}, {"ref": "milobele/arabic-riid", "kernel_id": "13313242"}, {"ref": "changyulve/riiid-eda", "kernel_id": "13333022"}, {"ref": "syxuming/two-ways-to-reduce-memory-about-load-dict-pkl", "kernel_id": "13939982"}, {"ref": "marisakamozz/riiid-cv-strategy-users-are-slightly-biased", "kernel_id": "13318541"}, {"ref": "marisakamozz/cv-strategy-in-the-kaggle-environment", "kernel_id": "13034227"}, {"ref": "yohannayin/riiid-answer-question", "kernel_id": "13846640"}, {"ref": "akashsuper2000/riiid-submit", "kernel_id": "13219236"}, {"ref": "akashsuper2000/lgbm-with-loop-feature-engineering", "kernel_id": "13219151"}, {"ref": "akashsuper2000/riiid-sakt-model-inference-public", "kernel_id": "13523405"}, {"ref": "akashsuper2000/sakt-riiid-lgbm-bagging2", "kernel_id": "13523415"}, {"ref": "akashsuper2000/riiid-lgbm-bagging2-sakt-0-781", "kernel_id": "13715895"}, {"ref": "brubian/riiid-explain-the-compete-in-japanese", "kernel_id": "13007204"}, {"ref": "kaerunantoka/riiid-transformer-v11-inference", "kernel_id": "13958906"}, {"ref": "shinomoriaoshi/riiid-saint", "kernel_id": "13937275"}, {"ref": "shinomoriaoshi/riiid-catboost-baseline", "kernel_id": "13057566"}, {"ref": "ctscsu/biaoge-train", "kernel_id": "13895458"}, {"ref": "c7934597/riiid-lgbm-bagging2-sakt-0-781", "kernel_id": "13741334"}, {"ref": "iicyan/riid-high-voted-notebooks-overview", "kernel_id": "13806250"}, {"ref": "saurabhshahane/beginners-pour-out-everything-here", "kernel_id": "13748268"}, {"ref": "saurabhshahane/catboost-hyperparameter-tuning-with-optuna", "kernel_id": "13791140"}, {"ref": "saurabhshahane/random-forest-and-xgboost-for-beginners", "kernel_id": "13461584"}, {"ref": "saurabhshahane/riiid-understandable-eda", "kernel_id": "13260181"}, {"ref": "ivangrov/answer-correctness-w-b-real-time-debugging", "kernel_id": "13199412"}, {"ref": "edgarandres/first-approach", "kernel_id": "13737716"}, {"ref": "luffy521/bert-like-model", "kernel_id": "13943465"}, {"ref": "virkillthenasty/transformer-main", "kernel_id": "13255910"}, {"ref": "jarupula/riiid-answer-prediction-beginner-base-model", "kernel_id": "13192211"}, {"ref": "shirapon24/simple-sample-submit", "kernel_id": "13194858"}, {"ref": "scaomath/riiid-pandas-groupby-speed-diff-for-inference", "kernel_id": "13823095"}, {"ref": "scaomath/riiid-is-there-a-magic-for-sakt", "kernel_id": "13690560"}, {"ref": "scaomath/riiid-sakt-train-with-a-warm-up-scheduler", "kernel_id": "13590231"}, {"ref": "scaomath/riiid-sakt-baseline-minimal-inference", "kernel_id": "13492614"}, {"ref": "scaomath/riiid-demystifying-transformers-in-pt-debugged", "kernel_id": "13493549"}, {"ref": "scaomath/riiid-lgbm-model-2-loop-user-dict-dump", "kernel_id": "13925416"}, {"ref": "scaomath/riiid-lgbm-loop-feature-multiprocessing", "kernel_id": "13940658"}, {"ref": "gphilmod/torch-gpu-in-riid-competition", "kernel_id": "13856530"}, {"ref": "waste8/user-questions-patterns-heatmap", "kernel_id": "13820356"}, {"ref": "moradmah/riiid-pfa", "kernel_id": "13488477"}, {"ref": "takiyu/japanese-riiid", "kernel_id": "13261332"}, {"ref": "jagands/creating-data-gen-for-training-using-tf-pyspark", "kernel_id": "13604669"}, {"ref": "pandaman817/riiid-submit", "kernel_id": "13386492"}, {"ref": "pandaman817/riiid-lgbm-bagging2-sakt-0-781", "kernel_id": "13725753"}, {"ref": "yusagi/riiid-comprehensive-eda-baseline-yu", "kernel_id": "13026390"}, {"ref": "rohithansdah/riiid-competition", "kernel_id": "13747993"}, {"ref": "rohithansdah/riiid-answer-correctness-submission-rohit", "kernel_id": "13729172"}, {"ref": "rohithansdah/riiid-lgbm-classifier-bagging-ensemble-learning", "kernel_id": "13767785"}, {"ref": "rohithansdah/riiid-model-lgbm-optimized", "kernel_id": "13751679"}, {"ref": "shivanandmn/saint-training-using-pytorch-success-run", "kernel_id": "13795807"}, {"ref": "slungile/riiid-answer-correctness-prediction", "kernel_id": "13390483"}, {"ref": "gaozhanfire/riiid-lgbm-val-0-788-offline-and-lsimodel-updated", "kernel_id": "13868239"}, {"ref": "tfukuda675/japanese-riiid-simple-lgbm-tag-one-hot-ver", "kernel_id": "13960099"}, {"ref": "takadaat/riiid-question-association-analysis", "kernel_id": "13952382"}, {"ref": "zyy2016/0-780-unoptimized-lgbm-interesting-features", "kernel_id": "13795415"}, {"ref": "zyy2016/0-780-lgbm-0-780", "kernel_id": "13794880"}, {"ref": "tchaye59/riiid-metadata-to-sqlite", "kernel_id": "13644917"}, {"ref": "tchaye59/riiid-work-with-the-full-state-using-sqlalchemy", "kernel_id": "13644985"}, {"ref": "tchaye59/riiid-preprocess-and-balance-the-dataset", "kernel_id": "13644664"}, {"ref": "zefirchik/nn-version-1", "kernel_id": "13402350"}, {"ref": "zefirchik/updatez-40", "kernel_id": "13681062"}, {"ref": "tomooinubushi/62nd-solution-lightgbm-single-model-lb-0-801", "kernel_id": "13220361"}, {"ref": "tomooinubushi/cv-strategy-with-reduced-users", "kernel_id": "13399638"}, {"ref": "yktori/riiid-data", "kernel_id": "13309958"}, {"ref": "avkostanov/mlda-riiid-2020", "kernel_id": "13084828"}, {"ref": "daihaoxue/test-version", "kernel_id": "13138258"}, {"ref": "chumajin/lgbmbasic-for-education", "kernel_id": "13392082"}, {"ref": "sindhuj/ridd-answers-correction", "kernel_id": "13743765"}, {"ref": "wenhsinghuang/akt-model", "kernel_id": "13488126"}, {"ref": "joeluke/notebook7d80c5aba7", "kernel_id": "13401746"}, {"ref": "tymurprorochenko/riiid-parquets-v5", "kernel_id": "13682017"}, {"ref": "tymurprorochenko/question-duration", "kernel_id": "13919900"}, {"ref": "shriniwaskadam/riiid-ans-corr-pred-nn", "kernel_id": "13462306"}, {"ref": "tsukasa0000/riiid-lgbm-optuna-rfe", "kernel_id": "13188753"}, {"ref": "victoruwaje/correctness-answer-predictor", "kernel_id": "13967595"}, {"ref": "tkyiws/single-lgb-model-with-about-23-features", "kernel_id": "13988285"}, {"ref": "tkyiws/riiid-feature-engineering", "kernel_id": "13989737"}, {"ref": "zekun98/tuneof-sakt-with-randomization-state-updates", "kernel_id": "13560308"}, {"ref": "zekun98/riiid-sakt-model-training-public", "kernel_id": "13533659"}, {"ref": "zekun98/sakt-with-randomization-state-updates", "kernel_id": "13534112"}, {"ref": "zekun98/tabnet-with-loop-feature-engineering-explained", "kernel_id": "13419174"}, {"ref": "zekun98/sakt-with-state-updates", "kernel_id": "13436134"}, {"ref": "zekun98/riiid-lgbm-bagging2", "kernel_id": "13459313"}, {"ref": "zekun98/sometune-about-riiid-self-attention-transformer", "kernel_id": "13804556"}, {"ref": "zekun98/blend-another", "kernel_id": "13826394"}, {"ref": "zekun98/featureriid-modeling-cv", "kernel_id": "13335181"}, {"ref": "zekun98/fork-of-riid-modeling-cv", "kernel_id": "13334365"}, {"ref": "zekun98/riid-modelineng", "kernel_id": "13303911"}, {"ref": "zekun98/lgbm-with-feature-engineering", "kernel_id": "13305283"}, {"ref": "zekun98/riid-modeling-cv", "kernel_id": "13316074"}, {"ref": "zekun98/blend-fold", "kernel_id": "13396114"}, {"ref": "zekun98/riid-modelingbayes", "kernel_id": "13394203"}, {"ref": "zekun98/baseline-for-riiid-lightgbm", "kernel_id": "13358959"}, {"ref": "gannonreynolds/fastai-tabular-with-state", "kernel_id": "13449847"}, {"ref": "itokianarafidinarivo/xgboost-riid-answer-prediction", "kernel_id": "13147434"}, {"ref": "abdessalemboukil/torch-gpu-in-riid-competition", "kernel_id": "13857318"}, {"ref": "abdessalemboukil/saint-training-inference-guide-39th-solution", "kernel_id": "13919969"}, {"ref": "reitanaka/riiid-submission-9", "kernel_id": "13054460"}, {"ref": "adrian1903/cross-validation-strategy-with-part-of-toeic-test", "kernel_id": "13083082"}, {"ref": "ahmedsalah142/riid-eda-part-2-features-related-to-the-target", "kernel_id": "13844783"}, {"ref": "ahmedsalah142/riid-data-set-wrangling-and-basic-eda-1", "kernel_id": "13791861"}, {"ref": "ahmedsalah142/interesting-features-copied-0-78-for-training", "kernel_id": "13891024"}, {"ref": "fjodorfomin/riid-random-forest", "kernel_id": "13735391"}, {"ref": "pauldiee/riid-notebook", "kernel_id": "13667636"}, {"ref": "julianguo/fork-of-riiid-lgbm-bagging2-1-471152", "kernel_id": "13668781"}, {"ref": "rpsantosakaggle/for-r-users-custommetrics-auc-tensorflow", "kernel_id": "13495791"}, {"ref": "dennischhun/project-ii-1", "kernel_id": "13298952"}, {"ref": "dennischhun/project-ii", "kernel_id": "13204831"}, {"ref": "bitcrunch/feature-engineering-predicitons-0-762", "kernel_id": "13419502"}, {"ref": "tongx93/submission", "kernel_id": "13094448"}, {"ref": "tongx93/riiid-data-analysis", "kernel_id": "13094612"}, {"ref": "juniroc/transformer-12-16", "kernel_id": "13334538"}, {"ref": "gianzlupko/riid-answer-correctness-with-rnn", "kernel_id": "13272193"}, {"ref": "merrybad/riiid-model-lgbm", "kernel_id": "13887331"}, {"ref": "manikanthr5/riiid-lgbm-single-model-ensembling-training", "kernel_id": "13397938"}, {"ref": "manikanthr5/riiid-sakt-model-training-public", "kernel_id": "13498413"}, {"ref": "manikanthr5/riiid-sakt-model-inference-public", "kernel_id": "13499110"}, {"ref": "manikanthr5/riiid-lgbm-single-model-ensembling-scoring", "kernel_id": "13401496"}, {"ref": "manikanthr5/riiid-ensemble-lgbm-sakt-inference", "kernel_id": "13458937"}, {"ref": "jwilliamhughdore/collaborative-filetering-with-fast-ai-nn", "kernel_id": "13736485"}, {"ref": "jwilliamhughdore/some-q-a-rel-to-assessment-questions-patterns", "kernel_id": "13449860"}, {"ref": "japandata509/riiid-what-is-toeic-test", "kernel_id": "13533574"}, {"ref": "beautifulmoment/riiid-train-lgbm-model", "kernel_id": "13789797"}, {"ref": "ericrobertson050/custom-elo-algorithm-by-question-tag", "kernel_id": "13881763"}, {"ref": "sahilmaheshwari/making-ensemble-of-catboost-and-lgbm", "kernel_id": "13279668"}, {"ref": "hvjain/my-first", "kernel_id": "13755676"}, {"ref": "anushakasi/riiid-filter-user-id-by-num-ques-ans", "kernel_id": "13409540"}, {"ref": "nicolaswattiez/riid-competition-rapids-part-ii-fe-and-training", "kernel_id": "13833998"}, {"ref": "zekunn/ensemble-riiid-submit", "kernel_id": "13415272"}, {"ref": "zekunn/771-sakt-with-randomization-state-updates", "kernel_id": "13475215"}, {"ref": "zekunn/infer-sakt-lgbm", "kernel_id": "13476342"}, {"ref": "jwl123/riiid-prediction-cnn-keras", "kernel_id": "13020377"}, {"ref": "mlanddl/riiid-catboost-baseline", "kernel_id": "13560290"}, {"ref": "suzukiseiya/riiid-training-and-prediction-using-a-state-copy", "kernel_id": "13397164"}, {"ref": "suzukiseiya/making-lecture-column", "kernel_id": "13600798"}, {"ref": "shigeoaoki/study-riiid", "kernel_id": "13865660"}, {"ref": "braysen/hidden-state-neural-network", "kernel_id": "13023637"}, {"ref": "chaochaoma/notebook8923e6a4fc", "kernel_id": "13057532"}, {"ref": "hqsong/new-sakt-new-lgbm-1f0cb8", "kernel_id": "13676973"}, {"ref": "hamishs/riiid-tfrecords", "kernel_id": "13369290"}, {"ref": "sudisen/riiid-xgboost", "kernel_id": "13737057"}, {"ref": "oym8012/lgb-xgb-cat-ensemble-baseline", "kernel_id": "13548986"}, {"ref": "melissarasmussen/first-try", "kernel_id": "13231340"}, {"ref": "tushargoyal11/notebookbe72790d85", "kernel_id": "13277206"}, {"ref": "zephyrwang666/riiid-saint-tf-transformer", "kernel_id": "13791272"}, {"ref": "zephyrwang666/riiid-saint-tf-transformer-inference", "kernel_id": "13793921"}, {"ref": "zephyrwang666/riiid-lgbm-bagging2-1", "kernel_id": "13595353"}, {"ref": "zephyrwang666/riiid-lgbm-bagging2", "kernel_id": "13449402"}, {"ref": "ydl1y17/riiid-model-lgbm", "kernel_id": "13902271"}, {"ref": "sylvieliberman/notebookd60a921734", "kernel_id": "13616577"}, {"ref": "niaibrahim/fork-of-fork-of-cnn-lr-001-epoch-40-conv1d-128", "kernel_id": "13152134"}, {"ref": "niaibrahim/cnn-more-layers", "kernel_id": "13163483"}, {"ref": "niaibrahim/fork-of-fork-of-cnn-lr-001-epoch-40-conv1d-f9d2ed", "kernel_id": "13155520"}, {"ref": "niaibrahim/karas-nn-epoch-30-1092d9", "kernel_id": "13154815"}, {"ref": "niaibrahim/fork-of-fork-of-cnn-lr-001-epoch-40-conv1d-5d8790", "kernel_id": "13154820"}, {"ref": "niaibrahim/fork-of-fork-of-cnn-lr-05-epoch-40-dropout-10", "kernel_id": "13154458"}, {"ref": "niaibrahim/cnn-dropout-10-dense-64-conv-128", "kernel_id": "13154520"}, {"ref": "niaibrahim/fork-of-baseline", "kernel_id": "13119587"}, {"ref": "niaibrahim/fork-of-cnn-lr-001-epoch-40-conv1d-128", "kernel_id": "13118414"}, {"ref": "niaibrahim/karas-nn-epoch-30-data-20-and-lr-0001", "kernel_id": "13091449"}, {"ref": "niaibrahim/karas-nn-epoch-30-dense-1-lr-0001", "kernel_id": "13110955"}, {"ref": "niaibrahim/riiid-training-and-prediction-using-a-state", "kernel_id": "13113203"}, {"ref": "niaibrahim/cnn-epoch-40-lr-0001", "kernel_id": "13112854"}, {"ref": "niaibrahim/karas-nn-epoch-30-data-10-more-nn-layers", "kernel_id": "13110397"}, {"ref": "niaibrahim/cnn-lr-0001-dense-1-epoch-40-batch-60000", "kernel_id": "13110014"}, {"ref": "niaibrahim/conv2d", "kernel_id": "13205819"}, {"ref": "niaibrahim/fork-of-cnn-reduced-learning-rate-b78e2e", "kernel_id": "13285838"}, {"ref": "niaibrahim/baseline-shared", "kernel_id": "13290587"}, {"ref": "niaibrahim/cnn-learning-rate-035", "kernel_id": "13292126"}, {"ref": "niaibrahim/fork-of-cnn-reduced-learning-rate", "kernel_id": "13273214"}, {"ref": "niaibrahim/cnn-lr-02", "kernel_id": "13267144"}, {"ref": "niaibrahim/cnn-reduced-learning-rate", "kernel_id": "13263731"}, {"ref": "niaibrahim/fork-of-cnn-maxpooling", "kernel_id": "13270653"}, {"ref": "saijasthi/karasnn-epoch-30-data-4-lr-0001-l1-14-l2-10", "kernel_id": "13059033"}, {"ref": "saijasthi/karas-nn-epoch-30-3fdbb7", "kernel_id": "13110422"}, {"ref": "saijasthi/basic-karas-nn-made-epoch-small-for-save-07-86403a", "kernel_id": "13198513"}, {"ref": "saijasthi/lightgbm-lr-025", "kernel_id": "13267545"}, {"ref": "muditmanchanda97/notebookae3d137c39", "kernel_id": "13748107"}, {"ref": "adamring/riiid-competition-notebook-528540", "kernel_id": "13429564"}, {"ref": "ammarnassanalhajali/only-14-features-lb-0-789", "kernel_id": "13428887"}, {"ref": "ammarnassanalhajali/riiid-lgbm-bagging2-sakt-0-781", "kernel_id": "13498821"}, {"ref": "t34sun/notebook-stat441-fp", "kernel_id": "13415176"}, {"ref": "mixer666666/stat441-fp-clean", "kernel_id": "13476105"}, {"ref": "mixer666666/stat441fp-draft", "kernel_id": "13451188"}, {"ref": "mixer666666/stat441-fp-clean-last", "kernel_id": "13521468"}, {"ref": "neinun/understanding-microsoft-trueskill-with-riiid", "kernel_id": "13831653"}, {"ref": "christmas2014/riiid-submit", "kernel_id": "13387421"}, {"ref": "wenzhiqian/riiid-comprehensive-eda-baseline", "kernel_id": "13233938"}, {"ref": "rendalemarktaas/riiid-answer-correctness-submission", "kernel_id": "13274898"}, {"ref": "zcatherine/riiid", "kernel_id": "13276928"}, {"ref": "zcatherine/riiid-mlp", "kernel_id": "13276975"}, {"ref": "bws620/add-features-and-pre-process", "kernel_id": "13427206"}, {"ref": "dominikbiel/notebook45a46aeb27", "kernel_id": "13489900"}, {"ref": "mrbeancoder/saint-implemented-in-keras", "kernel_id": "13897299"}, {"ref": "andleebhayath/lgb-catboost-random-forest-and-xgboost", "kernel_id": "13266275"}, {"ref": "ivanpermyakov/riiid-4models-classic", "kernel_id": "13681994"}, {"ref": "xiaoyuliu123123/lightgbm-sakt", "kernel_id": "13713810"}, {"ref": "yanamal/pandas-performance-hack-data-split-by-user", "kernel_id": "13797983"}, {"ref": "yanamal/learning-factor-analysis-are-tags-skills", "kernel_id": "13142556"}, {"ref": "yanamal/questions-tags-and-lectures-riiid-metadata-eda", "kernel_id": "13098644"}, {"ref": "yanamal/explanation-and-elapsed-time-for-current-question", "kernel_id": "13253147"}, {"ref": "ccliu7/riiid-model", "kernel_id": "13466013"}, {"ref": "paweszwajnoch/ver1-0", "kernel_id": "13248525"}, {"ref": "paweszwajnoch/ver4-0", "kernel_id": "13705951"}, {"ref": "paweszwajnoch/ver2-0", "kernel_id": "13491768"}, {"ref": "paweszwajnoch/ver3-0", "kernel_id": "13500539"}, {"ref": "copperbintime/notebook9e52fd937b", "kernel_id": "13478234"}, {"ref": "zgrcansz/fork-of-finalbil470", "kernel_id": "13572925"}, {"ref": "arjunalbert/lgbm-voting-with-tags-1000", "kernel_id": "13439765"}, {"ref": "arslansher/notebookb7b850c786", "kernel_id": "13291133"}, {"ref": "jasonlearnsml/attempt-hyperopt", "kernel_id": "13758364"}, {"ref": "amishapatel2020/riiid-eda-and-feature-importance", "kernel_id": "13422376"}, {"ref": "mumenhabdalkareem/an-exploratory-data-analysis-of-riiid-in-r", "kernel_id": "13805307"}, {"ref": "khadijaarjane/notebookriiid-arjane", "kernel_id": "13466468"}, {"ref": "fasternews/riiid-submissions", "kernel_id": "13565610"}, {"ref": "bestwishes007/riiid-lgbm-catboost-baseline-weights-optimization", "kernel_id": "13642966"}, {"ref": "kuchibecka/riid-code", "kernel_id": "13989910"}, {"ref": "ruhong/fast-pandas-left-join-357x-faster-than-pd-merge", "kernel_id": "14024274"}, {"ref": "letranduckinh/riiid-model-submission-4th-place-public-version", "kernel_id": "14111665"}, {"ref": "letranduckinh/riiid-model-submission-4th-solution", "kernel_id": "14350913"}, {"ref": "skylord/using-rapids-and-dask", "kernel_id": "14103683"}, {"ref": "sherdim/repetitions-in-riiid", "kernel_id": "14031906"}, {"ref": "vishwajeet993511/dnn-conv1d", "kernel_id": "14014191"}, {"ref": "vishwajeet993511/riiid-saint-final-train-v2-55-gpu", "kernel_id": "14030037"}, {"ref": "yeonmin/private-802-single-lgbm", "kernel_id": "14101803"}, {"ref": "mamasinkgs/public-private-2nd-place-solution", "kernel_id": "14095966"}, {"ref": "mamasinkgs/public-private-2nd-place-solution-single-fold", "kernel_id": "14104034"}, {"ref": "mamasinkgs/2nd-place-solution-for-hosts", "kernel_id": "14134128"}, {"ref": "calebeverett/riiid-trax-transformer", "kernel_id": "14333470"}, {"ref": "authman/humble-fe-train", "kernel_id": "14095674"}, {"ref": "authman/inference-attempt-incomplete", "kernel_id": "14095693"}, {"ref": "narendra/riiiid-saint-elapsed-lag-submission", "kernel_id": "14051621"}, {"ref": "narendra/riiiid-saint-prev-elapse-lag", "kernel_id": "14048131"}, {"ref": "fredegrec/training-single-lgb-0-794-23-features", "kernel_id": "14094861"}, {"ref": "bowaka/riid-lgb-single-model-0-793-full-summary", "kernel_id": "14088929"}, {"ref": "felipebihaiek/saintplusclean-extpart-virtual", "kernel_id": "14069036"}, {"ref": "tarique7/v4-fork-of-riiid-sakt-model-full", "kernel_id": "14004188"}, {"ref": "tarique7/v2-2-fork-of-riiid-lgbm-bagging-new", "kernel_id": "14073837"}, {"ref": "npa02012/riiid-model-mha", "kernel_id": "14330288"}, {"ref": "haradataman/riiid-28th-solution-inference-only", "kernel_id": "14082724"}, {"ref": "m10515009/saint-is-all-you-need-training-private-0-801", "kernel_id": "14094692"}, {"ref": "m10515009/saint-model-training", "kernel_id": "14078424"}, {"ref": "m10515009/transformer-group-data-for-inference", "kernel_id": "14157462"}, {"ref": "vk00st/2gbm-3nn", "kernel_id": "14084502"}, {"ref": "takamichitoda/riiid-infer-v8-xgb-sakt", "kernel_id": "14070301"}, {"ref": "yihdarshieh/r3id-transformer", "kernel_id": "14093335"}, {"ref": "marisakamozz/prior-question-is-info-about-prior-question", "kernel_id": "14098841"}, {"ref": "marisakamozz/riiid-saint-solution", "kernel_id": "14084186"}, {"ref": "nadare/32nd-transformer-dcn-v2-model", "kernel_id": "14098431"}, {"ref": "shuntarotanaka/riiid-the-first-30-questions-are-proficiency-test", "kernel_id": "14058871"}, {"ref": "ttkagglett/lgbm-sakt-private-score-is-0-790", "kernel_id": "14125477"}, {"ref": "nicohrubec/single-fold-lgb-794-inference", "kernel_id": "14102696"}, {"ref": "savababin/riiid-lgbm-bagging2-1-471152-update", "kernel_id": "14073845"}, {"ref": "abdurrafae/22nd-solution-just-encoder-blocks", "kernel_id": "14102671"}, {"ref": "iivvaann22001188/transformer-encoder-only", "kernel_id": "14016911"}, {"ref": "scaomath/riiid-sakt-fine-tuning-mimicking-the-test", "kernel_id": "14069443"}, {"ref": "sapthrishi007/sakt-featureembeddings-mytrainer", "kernel_id": "14125508"}, {"ref": "imazekishota/riiid-word2vec-with-content-id", "kernel_id": "14143913"}, {"ref": "imazekishota/riiid-lgbm-with-word2vec", "kernel_id": "14158253"}, {"ref": "pozitron1997/73th-solution-train-part-single-lgb", "kernel_id": "14101233"}, {"ref": "aimen19/fork-of-riiid-lgbm-bagging2-1-471152-022f1f", "kernel_id": "14002338"}, {"ref": "mukuldsagupta/riiid-answer-correctness-prediction-lgbm", "kernel_id": "14012851"}, {"ref": "guoyonfan/lgbm-model-vv0", "kernel_id": "14073839"}, {"ref": "shujun717/encoder-only-model-20th-solution", "kernel_id": "14068874"}, {"ref": "yrquni/uninet", "kernel_id": "14079766"}, {"ref": "konumaru/saint-with-pytorch-transformer-module", "kernel_id": "14007554"}, {"ref": "raphael1123/single-lgbm-21-feats-private-796", "kernel_id": "14065620"}, {"ref": "wuuthraad/it-ain-t-much-but-it-runs-60-accuracy", "kernel_id": "14109843"}, {"ref": "gyanendradas/riid-0-787-0-789", "kernel_id": "14076906"}, {"ref": "tymurprorochenko/riiid-public-submit", "kernel_id": "14093907"}, {"ref": "markwijkhuizen/riiid-training-and-prediction-using-a-state-final", "kernel_id": "14130019"}, {"ref": "gannonreynolds/saint-riid-0-798", "kernel_id": "14175526"}, {"ref": "trilabs/rst-mod", "kernel_id": "14082678"}, {"ref": "benoitvignaud/riiid-lgbm-bagging2-sakt-with-new-features", "kernel_id": "14028641"}, {"ref": "maxchang0724/saint-training-cv-0-799-private-0-799", "kernel_id": "14327973"}, {"ref": "maxchang0724/get-infer", "kernel_id": "14021727"}, {"ref": "abdessalemboukil/saint-lgbm-0-805-the-simpler-the-better", "kernel_id": "14016854"}, {"ref": "superchenhao/single-lgbm-with-only-17-features", "kernel_id": "14072771"}, {"ref": "charhabilsanaa/notebookriiid-arjane-charhabil-d884dd", "kernel_id": "14727263"}, {"ref": "charhabilsanaa/notebookriiid-arjane-charhabil", "kernel_id": "14253348"}, {"ref": "erivanoliveirajr/predi-o-de-acertos-dos-estudantes", "kernel_id": "14312470"}, {"ref": "wojiaoyibaqiang/3-lgbm-bagging-280", "kernel_id": "14047495"}, {"ref": "jihunlorenzopark/saint-with-tags-lsi", "kernel_id": "14091135"}, {"ref": "jihunlorenzopark/saint-with-tags-lsi-inference", "kernel_id": "14109176"}, {"ref": "takkyu/ram-friendly-dict-with-pybind11-parallel-hashmap", "kernel_id": "14100936"}, {"ref": "suzukiseiya/riiid-num5-lgbm-0-781", "kernel_id": "14018412"}, {"ref": "gzl0506/riiid-sakt-model-training-public-0drop", "kernel_id": "14031596"}, {"ref": "gzl0506/riiid-sakt-model-training-public", "kernel_id": "14028611"}, {"ref": "gzl0506/riiid-sakt-model-training-public-3embedding", "kernel_id": "14032697"}, {"ref": "gzl0506/riiid-sakt-model-training-public-maxseq-drop", "kernel_id": "14056254"}, {"ref": "khatrimohit/knowledge-tracing-prediction", "kernel_id": "14269407"}, {"ref": "khatrimohit/knowledge-tracing-training", "kernel_id": "14286917"}, {"ref": "zephyrwang666/riiid-saint-tf-transformer-6-inference", "kernel_id": "14057573"}, {"ref": "zephyrwang666/riiid-saint-tf-transformer-6-1-train", "kernel_id": "14062323"}, {"ref": "sanmaruum/train-transformer", "kernel_id": "14302817"}, {"ref": "sanmaruum/three-ensemble", "kernel_id": "14084315"}, {"ref": "ginger88895/lgbm-constant-content-avg", "kernel_id": "14058610"}, {"ref": "fomdata/38th-solution-saint-model", "kernel_id": "14103469"}, {"ref": "yanamal/riiid-dataset-what-can-we-learn-about-learning", "kernel_id": "14293453"}, {"ref": "paweszwajnoch/ver7-0", "kernel_id": "14082271"}, {"ref": "paweszwajnoch/ver5-0", "kernel_id": "14065837"}, {"ref": "paweszwajnoch/ver6-0", "kernel_id": "14078515"}, {"ref": "abdulkadirguner/with-q-success-md", "kernel_id": "14061204"}, {"ref": "abdulkadirguner/score-pblb0744", "kernel_id": "14129463"}, {"ref": "gangnam277/fork-of-riiid-lgbm-bagging2-1-471152-96a878", "kernel_id": "14084190"}, {"ref": "nanoneko/riiid-lgbm-public", "kernel_id": "14275834"}, {"ref": "revathiprakash/nvidia-rapids-tips-and-tricks-wip", "kernel_id": "15100089"}, {"ref": "nadare/gensim-word2vec", "kernel_id": "15559476"}, {"ref": "nadare/recommender-with-transformer-for-embedding", "kernel_id": "15506205"}, {"ref": "tomokiyoshida/transformer", "kernel_id": "15277265"}, {"ref": "phucpx/akt-nr-training", "kernel_id": "15953471"}, {"ref": "nathmart/riiid-notebook", "kernel_id": "15122427"}, {"ref": "abbyzhai2020/riiid-sampledata-selectfeature-biuldmodel", "kernel_id": "15416822"}, {"ref": "abbyzhai2020/riiid-education", "kernel_id": "15201801"}, {"ref": "ppsheth91/introductory-tutorial-1-pyspark-for-beginners", "kernel_id": "16826778"}, {"ref": "nathmart/lgbm-with-loop-feature-engineering", "kernel_id": "16117114"}, {"ref": "trdngmin/kccp-module-data-process", "kernel_id": "16316528"}, {"ref": "adnankust/riiid-keras-transformer", "kernel_id": "17358314"}, {"ref": "santhraul/methods-to-read-large-datasets", "kernel_id": "17382115"}, {"ref": "santhraul/vaex-experiement-faster-loading-of-large-data-set", "kernel_id": "17387375"}, {"ref": "iulianpopa/riiid-answer-correctness-prediction-eda", "kernel_id": "17929151"}, {"ref": "iulianpopa/riiid-model-lgbm-x", "kernel_id": "17949911"}, {"ref": "yongyiw/sakt-reproduced", "kernel_id": "17648811"}, {"ref": "akashsingh00/test-answer-prediction-final-notebook", "kernel_id": "18695081"}, {"ref": "sanmaruum/train-lgbm", "kernel_id": "18662808"}, {"ref": "yongyiw/aikt-reproduced", "kernel_id": "18673614"}, {"ref": "yongyiw/dkvmn-reproduced", "kernel_id": "18912448"}, {"ref": "yongyiw/dkt-reproduced", "kernel_id": "18863285"}, {"ref": "yongyiw/apfa-reproduced", "kernel_id": "18976988"}, {"ref": "nguyenmautruonggiang/riiid-eda", "kernel_id": "20898503"}, {"ref": "nguyenmautruonggiang/riid-eda-submission", "kernel_id": "21123157"}, {"ref": "georgezoto/riiid-answer-correctness-prediction-eda-baseline", "kernel_id": "22468758"}, {"ref": "takkyu/riiid-pybind-demo", "kernel_id": "22903633"}, {"ref": "adnankust/riiid-lgbm-simple-baseline", "kernel_id": "24289077"}, {"ref": "adnankust/riiid-eda-and-feature-importance", "kernel_id": "24287856"}, {"ref": "printnaveen/riiid-indepth-eda", "kernel_id": "24895901"}, {"ref": "rriceice/competition-api-detailed-introduction", "kernel_id": "26892982"}, {"ref": "wonderfulchiao/lgbm-with-loop-feature-engineering", "kernel_id": "26369216"}, {"ref": "agileteam/rudolph-toeic", "kernel_id": "27976607"}, {"ref": "datakite/riiid-answer-correctness", "kernel_id": "27641777"}, {"ref": "trandatt/finalproject-bai2-ipynb", "kernel_id": "27355148"}, {"ref": "thuwth/project7-comprehensive-eda-baseline", "kernel_id": "27521113"}, {"ref": "thuwth/project-7-eda-baseline-model", "kernel_id": "27564628"}, {"ref": "trngqucthun/51800271-trantuandat-51801027-truongquocthuan-bai2", "kernel_id": "27418917"}, {"ref": "trngqucthun/riiid-bai2", "kernel_id": "27419049"}, {"ref": "ashahidkhattak/clustering-latest", "kernel_id": "28312111"}, {"ref": "matsumotoyuki/lgbm-baseline-notebook-20220822", "kernel_id": "29776336"}, {"ref": "shawshaw/running-c-in-notebooks-cuda", "kernel_id": "29110072"}, {"ref": "foklacu/daria-hm-3", "kernel_id": "30875601"}, {"ref": "knowurself/dkttest2", "kernel_id": "35281351"}, {"ref": "pengluyaoyao/regression-riiid-answer-time", "kernel_id": "45958788"}, {"ref": "fjnujerry/a-self-attentive-model-for-knowledge-tracing", "kernel_id": "45412422"}, {"ref": "jasminehao/using-keras-with-r", "kernel_id": "55563006"}, {"ref": "serhiileoshchenko/tutorial-on-reading-large-datasets", "kernel_id": "68527776"}, {"ref": "yozhykovanatolii/tutorial-on-reading-large-datasets", "kernel_id": "69400995"}, {"ref": "mlsputnik/riiid-answer-correctness-prediction-sk", "kernel_id": "72034209"}, {"ref": "mrigayanray123456/notebook2e0b4c351e", "kernel_id": "76879597"}, {"ref": "yanqiujasmineqiuqiu/sakt-with-randomization-state-updates", "kernel_id": "85636359"}, {"ref": "vincentbwzheng/dktlstm", "kernel_id": "85250245"}, {"ref": "kemaldemirba/riiid-behavioral-ai", "kernel_id": "112596656"}]}
{"competition_id": "21662", "kernels": [{"ref": "ziyadmsq/kernel60a90b8967", "kernel_id": "10553408"}]}
{"competition_id": "21668", "kernels": [{"ref": "sahilsaxenass/analyse-it-first", "kernel_id": "10576572"}]}
{"competition_id": "21669", "kernels": [{"ref": "fialkool/notebook728b1e107a", "kernel_id": "179619"}, {"ref": "gopidurgaprasad/mfcc-feature-extraction-from-audio", "kernel_id": "10173964"}, {"ref": "gopidurgaprasad/audio-augmentation-albumentations", "kernel_id": "10454909"}, {"ref": "titericz/0-525-tabular-xgboost-gpu-fft-gpu-cuml-fast", "kernel_id": "12944534"}, {"ref": "titericz/0-309-baseline-logisticregression-using-fft", "kernel_id": "12941700"}, {"ref": "super13579/mfcc-feature-extraction", "kernel_id": "12945915"}, {"ref": "onodera/rapids-available-on-notebook", "kernel_id": "12947774"}, {"ref": "tunguz/rainforest-rapids-baseline", "kernel_id": "12944466"}, {"ref": "tunguz/giba-s-fft-features-only", "kernel_id": "12961240"}, {"ref": "gpreda/explore-the-rainforest-soundscape", "kernel_id": "12943678"}, {"ref": "scart97/fastaudio-starter-kit", "kernel_id": "12943055"}, {"ref": "jackvial/pytorch-lightning-starter", "kernel_id": "12963721"}, {"ref": "ludovick/load-data-from-tfrecord", "kernel_id": "12942482"}, {"ref": "docxian/audio-detection-first-glance-on-training-tables", "kernel_id": "12941173"}, {"ref": "thanatoz/understanding-metric-and-visualizing-audio", "kernel_id": "12949196"}, {"ref": "hidehisaarai1213/rfcx-audio-data-augmentation-japanese-english", "kernel_id": "12949867"}, {"ref": "kneroma/inference-resnest-rfcx-audio-detection", "kernel_id": "12945652"}, {"ref": "andregoios/eda-and-spectral-signatures-of-species", "kernel_id": "12943657"}, {"ref": "hamditarek/rainforest-connection-analysis-using-librosa", "kernel_id": "12942730"}, {"ref": "jmaslek/load-flac-and-plot-spectrograph", "kernel_id": "12941231"}, {"ref": "theoviel/spectrogram-generation", "kernel_id": "12972038"}, {"ref": "eladwar/earthforest", "kernel_id": "12962848"}, {"ref": "drcapa/species-audio-detection-starter-keras", "kernel_id": "12947769"}, {"ref": "adrianhahaha/notebookohmykidneychuncheongso", "kernel_id": "12951438"}, {"ref": "salmaneunus/rainforest-audio-data-analysis-and-visualization", "kernel_id": "12947202"}, {"ref": "salmaneunus/rainforest-species-detection-from-audio-1", "kernel_id": "12983540"}, {"ref": "doanquanvietnamca/training-baseline-resnest-rfcx-audio-detection", "kernel_id": "12953928"}, {"ref": "sinamhd9/enjoy-clear-song-with-band-pass-filter", "kernel_id": "12968499"}, {"ref": "riadalmadani/keras-model-with-fft-features", "kernel_id": "12996463"}, {"ref": "rohitsingh9990/baseline-submission", "kernel_id": "12942669"}, {"ref": "mrutyunjaybiswal/rainforest-tfrecords-with-audio-eda-metrics", "kernel_id": "12942794"}, {"ref": "gouravchandra/notebook763ba7e08e", "kernel_id": "12997761"}, {"ref": "aliabdin1/rainforest-species-audio-detection-some-numbers", "kernel_id": "12943574"}, {"ref": "duttasd28/species-audio-detection-eda", "kernel_id": "12947884"}, {"ref": "gauravmehta13/feature-extraction-species-audio-detection", "kernel_id": "12944148"}, {"ref": "johntermaat/comparing-tp-and-fp-by-species", "kernel_id": "12983521"}, {"ref": "saztorralba/rfcxspeciesdetection-cnnmelspec", "kernel_id": "12994838"}, {"ref": "samcantor9/getting-started-with-rainforest-audio-data", "kernel_id": "12982215"}, {"ref": "alexkashirin/multi-band-audio-extractor", "kernel_id": "12956232"}, {"ref": "saurabhbagchi/rfcx-bagging-with-different-weights-0-879-score", "kernel_id": "13934254"}, {"ref": "tunguz/adversarial-rainforest", "kernel_id": "13115672"}, {"ref": "tunguz/visualizing-fft-features-with-t-sne-and-umap", "kernel_id": "13247006"}, {"ref": "pluceroo/feature-engineering-using-vectorization-cupy", "kernel_id": "13162524"}, {"ref": "rohitpruthi/rfcx-approach-eda-feature-extraction-v1", "kernel_id": "13871531"}, {"ref": "kanruwang/simple-tabular-fft-xgboost-gpu", "kernel_id": "13332593"}, {"ref": "guglielmocamporese/what-is-my-model-seeing-class-activation-mapping", "kernel_id": "13774264"}, {"ref": "crackle/rainforest-eda", "kernel_id": "13443990"}, {"ref": "crackle/rainforest-data-prep", "kernel_id": "13451470"}, {"ref": "crackle/rainforest-model-1-inference", "kernel_id": "13465236"}, {"ref": "crackle/rfcx-panns-inference", "kernel_id": "13806366"}, {"ref": "truonghoang/rfcx-pannscnn14att-train-inference", "kernel_id": "13459237"}, {"ref": "maltonji/rainforest-t-sne-with-colored-labels", "kernel_id": "13268865"}, {"ref": "hamstard/rainforest-interactive-inspection", "kernel_id": "13856347"}, {"ref": "jackvial/adversarial-validation-train-vs-test-files", "kernel_id": "13272473"}, {"ref": "kilimannejaro/rfcx-train-resnet50-with-tpu", "kernel_id": "13886190"}, {"ref": "snnclsr/rainforesttraining", "kernel_id": "13969643"}, {"ref": "donkeys/eda-rainforest-bird-spectograms", "kernel_id": "13682574"}, {"ref": "hamishdickson/visualizing-fft-features-with-umap", "kernel_id": "13321523"}, {"ref": "rbyron/rfcx-first-steps", "kernel_id": "13329662"}, {"ref": "behcetsenturk/stft-vae", "kernel_id": "13515410"}, {"ref": "behcetsenturk/stft-gan", "kernel_id": "13040516"}, {"ref": "ab971631/data-analysis-and-exploration", "kernel_id": "13482394"}, {"ref": "kneroma/rfcx-bagging", "kernel_id": "13923719"}, {"ref": "kneroma/inference-tpu-rfcx-audio-detection-fast", "kernel_id": "13889911"}, {"ref": "kneroma/rfcx-faster-inference-with-precomputed-mfccs", "kernel_id": "13906711"}, {"ref": "barnwellguy/do-re-mi-species-sample-sounds", "kernel_id": "13345351"}, {"ref": "aryaman1999/transformers-for-audio-an-experiment", "kernel_id": "13993890"}, {"ref": "xinyan989/new-baseline-1228", "kernel_id": "13840675"}, {"ref": "prvnkmr/baseline-implementation-resnet34", "kernel_id": "13965071"}, {"ref": "khoongweihao/resnet34-more-augmentations-mixup-tta-inference", "kernel_id": "13495416"}, {"ref": "henry090/fast-ai-from-r-timm-learner", "kernel_id": "13097438"}, {"ref": "fanbyprinciple/trying-fastaudio-starter-kit", "kernel_id": "13144021"}, {"ref": "aikaruppaiya/rainf-gpulearning", "kernel_id": "13194050"}, {"ref": "yosshi999/rfcx-train-resnet50-with-tpu", "kernel_id": "13361207"}, {"ref": "slawekbiel/minimal-fastai-solution-score-0-61", "kernel_id": "13055801"}, {"ref": "gopidurgaprasad/rfcs-audio-detection-pytorch-stater", "kernel_id": "13374003"}, {"ref": "gopidurgaprasad/rfcsad-create-dataset-48k", "kernel_id": "13256144"}, {"ref": "pnandi40/birdfrog-eda", "kernel_id": "13880248"}, {"ref": "akensert/rfcx-gpu-tpu-accelerated-mel-spectrograms", "kernel_id": "13454255"}, {"ref": "ayuraj/rainforest-create-image-dataset-with-w-b", "kernel_id": "13406469"}, {"ref": "ayuraj/rainforest-train-baseline-model-with-w-b", "kernel_id": "13449611"}, {"ref": "ayuraj/rainforest-which-model-is-better", "kernel_id": "13604213"}, {"ref": "aikhmelnytskyy/rfcx-baseline-for-beginners-with-stratifiedkfold", "kernel_id": "13318532"}, {"ref": "tpmeli/how-i-extracted-tp-and-fp-spectrograms", "kernel_id": "13160170"}, {"ref": "fffrrt/all-in-one-rfcx-baseline-for-beginners", "kernel_id": "13163022"}, {"ref": "lakshya91/basic-audio-and-data-analysis", "kernel_id": "13344130"}, {"ref": "salmaneunus/rainforest-audio-species-detection", "kernel_id": "13075654"}, {"ref": "doanquanvietnamca/eda-data", "kernel_id": "13017875"}, {"ref": "hypnotu/automl-inference-audio-detection-soliset", "kernel_id": "13918144"}, {"ref": "riadalmadani/random-forest-sklearn", "kernel_id": "13072549"}, {"ref": "bbouvier/all-in-one-rfcx-baseline-for-beginners", "kernel_id": "13982354"}, {"ref": "golligundu/resnet34-more-augmentations-mixup-tta-inference", "kernel_id": "13873317"}, {"ref": "mrutyunjaybiswal/rfcx-efficientnetbx-augmentation-lwlrap-tpu", "kernel_id": "13630096"}, {"ref": "mrutyunjaybiswal/rfcx-resnet50-no-aug-lwlrap-sigmoidfocalce", "kernel_id": "13320151"}, {"ref": "jenniferdobson/data-wrangling-tfrecords-for-rfcx", "kernel_id": "13112436"}, {"ref": "mehrankazeminia/automl-inference-audio-detection-soliset", "kernel_id": "13868855"}, {"ref": "mehrankazeminia/audio-detection-soliset-201", "kernel_id": "13019660"}, {"ref": "joopaulocautter/brasucas-rainforest-connection-species-audio", "kernel_id": "13181076"}, {"ref": "jessemostipak/getting-started-rainforest-eda-with-tfrecords", "kernel_id": "13294751"}, {"ref": "satokiogiso/data-augmentation-with-audiomentaion", "kernel_id": "13555593"}, {"ref": "maxzub/notebooke2ad9be359", "kernel_id": "13281577"}, {"ref": "reshuchoubey/resnet", "kernel_id": "13702927"}, {"ref": "duythanhng/all-in-one-rfcx-baseline-model-avg", "kernel_id": "13522839"}, {"ref": "duythanhng/rfcx-torchvision-models-augmentation", "kernel_id": "13951336"}, {"ref": "duythanhng/rfcx-adas-optimizer-pytorch", "kernel_id": "13969694"}, {"ref": "reversothomas/kaggle-competition-fft-during-bird-songs", "kernel_id": "13149403"}, {"ref": "jorgeregidor/rainforest-audio-representations", "kernel_id": "13145196"}, {"ref": "yutashimono/resnest50d-randam-crop-training", "kernel_id": "13251220"}, {"ref": "alkahapur/birdspecies-exploratory-analysis", "kernel_id": "13153347"}, {"ref": "mesparky/rainforest-audio-classification", "kernel_id": "13422002"}, {"ref": "cpmpml/there-are-between-4-and-5-ongs-per-recordings", "kernel_id": "14761940"}, {"ref": "yassinealouini/what-is-mfcc", "kernel_id": "14429172"}, {"ref": "crackle/rfcx-attention-inference", "kernel_id": "14106954"}, {"ref": "andreeasandu/species-audio-detection", "kernel_id": "14322001"}, {"ref": "snnclsr/rainforesttrainingsed", "kernel_id": "14131226"}, {"ref": "colinnordin/spectral-segmentation", "kernel_id": "14560973"}, {"ref": "dimitreoliveira/rainforest-audio-classification-tensorflow-starter", "kernel_id": "14247441"}, {"ref": "dimitreoliveira/rainforest-audio-classification-tf-improved", "kernel_id": "14478286"}, {"ref": "felipebihaiek/tuner-baseline-implementation-resnet34", "kernel_id": "14095888"}, {"ref": "felipebihaiek/rfcx-faster-inference-with-precomputed-mfc-fp", "kernel_id": "14048871"}, {"ref": "felipebihaiek/fork-of-baseline-implementation-resnet34", "kernel_id": "14270941"}, {"ref": "reppic/mean-teachers-find-more-birds", "kernel_id": "14567539"}, {"ref": "meaninglesslives/rfcx-minimal", "kernel_id": "14949515"}, {"ref": "takamichitoda/spectrogram-generation-with-denoise", "kernel_id": "14361084"}, {"ref": "ash1706/nemo-speaker-recognition", "kernel_id": "14913382"}, {"ref": "ash1706/convert-to-wav", "kernel_id": "14909990"}, {"ref": "bigironsphere/single-channel-resnest-for-panns-sed-architecture", "kernel_id": "14967815"}, {"ref": "egm108/sed-model-starter-2-augmentations-more", "kernel_id": "14779780"}, {"ref": "cdeotte/rainforest-post-process-lb-0-970", "kernel_id": "14984513"}, {"ref": "nandhuelan/wav2vec-wandb-learning-audio-representation", "kernel_id": "14128647"}, {"ref": "sharansmenon/rainforest-sound-classification", "kernel_id": "14718573"}, {"ref": "gopidurgaprasad/rfcx-sed-model-stater", "kernel_id": "14107799"}, {"ref": "tjcdev/convert-audio-to-de-noised-melspectrogram-image", "kernel_id": "14142585"}, {"ref": "tjcdev/classify-using-de-noised-melspectrograms-and-a-cnn", "kernel_id": "14427198"}, {"ref": "lcolumbo/rfcx-1d-cnn-over-log-mel-spectrograms", "kernel_id": "14879629"}, {"ref": "lcolumbo/rfcx-first-data-analysis-with-pandas", "kernel_id": "14726112"}, {"ref": "lcolumbo/rfcx-plot-time-freq-bbox-on-log-mel-spectrogram", "kernel_id": "14727556"}, {"ref": "krsna540/rfcx-with-tf2-4-librosa-tpu", "kernel_id": "14800050"}, {"ref": "krsna540/efficient-net-librosa-tensorflow", "kernel_id": "14487749"}, {"ref": "krsna540/tf-deep-soundscape-detection-using-librosa-part-1", "kernel_id": "14186538"}, {"ref": "aikhmelnytskyy/resnet-wavenet-my-best-single-model-ensemble", "kernel_id": "14499660"}, {"ref": "aikhmelnytskyy/bagging-rainforest", "kernel_id": "14618968"}, {"ref": "aikhmelnytskyy/resnet-tpu-on-colab-and-kaggle", "kernel_id": "14130241"}, {"ref": "sd4321/eda-fastai-baseline-model", "kernel_id": "14167479"}, {"ref": "jainarindam/rainforest-submission-py", "kernel_id": "14281690"}, {"ref": "vzaguskin/rfcx-complete-tpu-training-and-inference-lb-0-95", "kernel_id": "14673411"}, {"ref": "pandaman817/resnet-tpu-on-colab-and-kaggle", "kernel_id": "14176119"}, {"ref": "linainversez/spectrogram-viewer", "kernel_id": "14836303"}, {"ref": "stegzz/readable-keras-resnet50-model", "kernel_id": "14193707"}, {"ref": "ashusma/rfcx-custom-training-with-tpu", "kernel_id": "14269750"}, {"ref": "ashusma/training-rfcx-tensorflow-tpu-effnet-b2", "kernel_id": "14182129"}, {"ref": "ashusma/rfcx-audio-creating-tfrecords", "kernel_id": "14137819"}, {"ref": "hypnotu/melspectrograms-with-librosa-in-english", "kernel_id": "14554254"}, {"ref": "deshwalmahesh/rnn-you-ve-been-reading-it-the-wrong-way", "kernel_id": "14465441"}, {"ref": "deshwalmahesh/you-ve-been-looking-at-the-cnn-the-wrong-way", "kernel_id": "14421837"}, {"ref": "anandcu3/notebook899a08e16d", "kernel_id": "14623417"}, {"ref": "saitodevel01/rfcx-blending-by-rank", "kernel_id": "14938390"}, {"ref": "mehrankazeminia/ensembling-0-880-audio-detection-101", "kernel_id": "14746720"}, {"ref": "arnavmishra/arnav-mishra-rainforest-classification-baseline", "kernel_id": "14854830"}, {"ref": "allohvk/the-nuts-and-bolts-of-sound-feature-engineering", "kernel_id": "14263433"}, {"ref": "allohvk/chirrrrrp-welcome-to-my-world", "kernel_id": "14220609"}, {"ref": "thailssonclementino/melspectrograms-with-librosa", "kernel_id": "14529928"}, {"ref": "leemop/kaggle-pillssa", "kernel_id": "14117938"}, {"ref": "shinmurashinmura/this-is-a-missing-label", "kernel_id": "14044486"}, {"ref": "skydevour/rainforest-connection-species-bronze", "kernel_id": "14447601"}, {"ref": "skydevour/rainforest-connection-species-audio-detection-eda", "kernel_id": "14447198"}, {"ref": "alvarordgz/rainforest-connection-mfccs-spanish-version", "kernel_id": "14245091"}, {"ref": "tomehirata/pytorch-training-rfcx-adas-optimizer-resnest", "kernel_id": "14595988"}, {"ref": "japandata509/how-to-analyze-leaderboard-easily", "kernel_id": "14437027"}, {"ref": "virajkadam/rainforest-connect-custom-cnn", "kernel_id": "14902032"}, {"ref": "scarecrow2020/transfer-learning-yamnet-vggish-tf", "kernel_id": "14569294"}, {"ref": "scarecrow2020/birds-pripri-analysis-and-augmentation-tf", "kernel_id": "14273579"}, {"ref": "robertlangdonvinci/rainforest-speciesaudio-detection-pytorch", "kernel_id": "14130043"}, {"ref": "alkahapur/birdspicies-prediction-using-tensorflow-and-cnn", "kernel_id": "14085709"}, {"ref": "abdulkadirguner/15subat-partialdata", "kernel_id": "14899014"}, {"ref": "lukas303/simple-data-pipeline", "kernel_id": "14519950"}, {"ref": "tejasrattihalli/notebook8a61144a30", "kernel_id": "14857298"}, {"ref": "minghuang/recensementoiseauxamazonie", "kernel_id": "15772968"}, {"ref": "mehrankazeminia/lb-0-984-rainforest-comparative-method-part-b", "kernel_id": "15080076"}, {"ref": "mehrankazeminia/lb-0-980-rainforest-comparative-method-part-a", "kernel_id": "15040922"}, {"ref": "jtan2231/rainforest-write-up", "kernel_id": "15068016"}, {"ref": "karthikjoshi07/notebookca89dc1e16", "kernel_id": "15086408"}, {"ref": "steveroberts/spectrogram-generation", "kernel_id": "16483627"}, {"ref": "alexlwh/rfcx-fastai-localized-resnet34-tp-train", "kernel_id": "16826514"}, {"ref": "imeintanis/birdclef-interactive-spectrogram-viewer", "kernel_id": "16038242"}, {"ref": "shinmurashinmura/audiomentations-sample", "kernel_id": "16217061"}, {"ref": "kimdngngc/rainforest-audio-classification-tf-improved", "kernel_id": "16673462"}, {"ref": "scart97/rainforest-fastai-localized-resnet34-train", "kernel_id": "17200283"}, {"ref": "colinnordin/inverse-stft", "kernel_id": "17431882"}, {"ref": "alexlwh/rfcx-hear-and-see-the-species-with-w-b", "kernel_id": "17249930"}, {"ref": "alexlwh/rfcx-fastai-trick-to-load-spectrogram-fast", "kernel_id": "17990895"}, {"ref": "chriscongleton/resnet-tpu", "kernel_id": "17180711"}, {"ref": "shreyasajal/audio-albumentations-torchaudio-audiomentations", "kernel_id": "17112339"}, {"ref": "shreyasajal/birdclef-librosa-audio-feature-extraction", "kernel_id": "17042836"}, {"ref": "muhammadzubairkhan92/birdclef-2021-librosa-audio-feature-extraction", "kernel_id": "17419460"}, {"ref": "rafaelzinnilopes/rainforest-audio-classification-tensorflow-starter", "kernel_id": "18726222"}, {"ref": "farrel0410/audio-detection-with-tensorflow", "kernel_id": "21275788"}, {"ref": "rdipiazza/spectral-segmentation-edit-raph", "kernel_id": "22794285"}, {"ref": "valentinateslenko/additional-frog-song-data", "kernel_id": "22349953"}, {"ref": "valentinateslenko/frog-song", "kernel_id": "22349755"}, {"ref": "sagniksanyal/birdclef-2022-torchaudio-audiomentations-skimpy", "kernel_id": "25625685"}, {"ref": "gooytuatagofficial/rnn-for-audio-classification", "kernel_id": "25200501"}, {"ref": "khoaphamdang/rfcx-v3", "kernel_id": "28656449"}, {"ref": "alpborakirte/rfcx-audio-detection", "kernel_id": "29464678"}, {"ref": "shreyasdhaware/pretraining-hubert", "kernel_id": "31817423"}, {"ref": "sagarnailwal/audio-classification", "kernel_id": "35632659"}, {"ref": "vishnu3690/rainforest-connection-species-audio-detection-cnn", "kernel_id": "37143055"}, {"ref": "ericcastro123123/tabular-xgboost-gpu-fft-gpu-cuml-fast", "kernel_id": "38322746"}, {"ref": "ericcastro123123/efficient-net-librosa-tensorflow", "kernel_id": "38324578"}, {"ref": "ngotrisi/mean-teacher", "kernel_id": "40248526"}, {"ref": "qatrfygiujokl/audio-event-recognition", "kernel_id": "43988119"}, {"ref": "dmitryzaykov/pytorch-resnet101-adam", "kernel_id": "44608453"}, {"ref": "amitsharma1984/audio-classification-rnn", "kernel_id": "44221774"}, {"ref": "foreveralove/rfcx-resnest101", "kernel_id": "46941920"}, {"ref": "alexandrpanarin/lab-3", "kernel_id": "46851677"}, {"ref": "blackjacl/yakushev-lab-3", "kernel_id": "46316074"}, {"ref": "artyomlukyanov/lukyanov-8307-lab-3-resnet50", "kernel_id": "46210595"}, {"ref": "shustikovvladislav/notebookea2cc114c0", "kernel_id": "47986972"}, {"ref": "daniilzuevv/rfcx-species-audio-detection", "kernel_id": "47587059"}, {"ref": "angamber/khassanov-lab-3", "kernel_id": "47905899"}, {"ref": "ilyabatalev/notebook39a4ca35ce", "kernel_id": "47339920"}, {"ref": "tkachevigor/8307-3-animals", "kernel_id": "48417155"}, {"ref": "aakashganapathy/notebooke23f0e8b05", "kernel_id": "53028571"}, {"ref": "suryakarthikeya/ensemble-model", "kernel_id": "54092419"}, {"ref": "swayamsoni/rfcx-resnest101", "kernel_id": "55040349"}, {"ref": "suryakarthikeya/notebook85edfb1d1c", "kernel_id": "55066641"}, {"ref": "aakashganapathy/cs-304-submission", "kernel_id": "55077933"}, {"ref": "aakashganapathy/fork-of-cs-304-submission", "kernel_id": "55097092"}, {"ref": "saeedahmed1/mfcc-feature-extraction-from-audio", "kernel_id": "62688207"}, {"ref": "milionmeseret/eda-maschine-learning", "kernel_id": "67020694"}, {"ref": "ayupovrenat/9307-aypov-train", "kernel_id": "71400776"}, {"ref": "eldarabibulaev/abibulaev-lab3", "kernel_id": "72137401"}, {"ref": "mariasorochina/smv-lw-3", "kernel_id": "72384722"}, {"ref": "kazantsevalexandr/9307-kazantsevam-lab3", "kernel_id": "72030351"}, {"ref": "tdk21111011101001/nikolaenko-lab3", "kernel_id": "72313172"}, {"ref": "matmanbj/9307-sobolevms-lab-3", "kernel_id": "72030407"}, {"ref": "sergeystud/tinyakov-lab3", "kernel_id": "73025467"}, {"ref": "mariasorochina/smv-lab3-torch", "kernel_id": "74887308"}, {"ref": "mminullin/minullinlab3", "kernel_id": "75480762"}, {"ref": "wangningfei/efficientnet-b0-pytorch-inference-wang", "kernel_id": "81436331"}, {"ref": "garystar/efficientnet-b0-pytorch-inference-birdc-356204", "kernel_id": "81450370"}, {"ref": "dorinasarmon/rainforest", "kernel_id": "87689968"}, {"ref": "dorinasarmon/rainforest-new", "kernel_id": "88141572"}, {"ref": "dorinasarmon/rainforest-redo", "kernel_id": "88905608"}, {"ref": "dorinasarmon/audio", "kernel_id": "89539844"}, {"ref": "marcelocondori/rainforest-redo-prueba2sep", "kernel_id": "91134641"}, {"ref": "dorinasarmon/unsupervised-rainforest", "kernel_id": "93451168"}, {"ref": "ruslantemirtassov/ruslant", "kernel_id": "97552469"}, {"ref": "dorinasarmon/unsup-short", "kernel_id": "98298839"}, {"ref": "dorinasarmon/unsup-short-rk", "kernel_id": "99608665"}, {"ref": "dorinasarmon/unsup-short-clear", "kernel_id": "101724694"}, {"ref": "alekseysavinov/sound-3", "kernel_id": "102251953"}, {"ref": "irinamay/sva-lr3", "kernel_id": "102902854"}, {"ref": "dorinasarmon/1-data-generation", "kernel_id": "102965256"}, {"ref": "massivebrain/lr3-belovam", "kernel_id": "103636934"}, {"ref": "alexeagle1535/lr3-orloval-0307", "kernel_id": "103417759"}, {"ref": "alexanderarchon/rainforest-fedotov-lab3", "kernel_id": "103662799"}, {"ref": "dorinasarmon/3-classification", "kernel_id": "103112072"}, {"ref": "k4th4ros/frogs", "kernel_id": "104518834"}, {"ref": "valeriafurina/lab3-furina", "kernel_id": "104554636"}, {"ref": "pipopolam/2307-levushkina-lab3", "kernel_id": "104894620"}, {"ref": "christianamegee/sound-processing-3", "kernel_id": "104377734"}, {"ref": "olbenka/lr3-berkimbay-0304", "kernel_id": "104567104"}, {"ref": "nikitapodkidish/karpiy-lab3", "kernel_id": "104558019"}, {"ref": "zukenaiberkimbay/lab3-berkimbay-0304", "kernel_id": "104573896"}, {"ref": "alqid12/0304-tupakhin-lab3", "kernel_id": "104435192"}, {"ref": "michaelzhegalin/lab3-zhegalin", "kernel_id": "104561214"}, {"ref": "pankoivan0307/lab3-pankoivan0307", "kernel_id": "104345243"}, {"ref": "muraidraeszter/3-classification", "kernel_id": "104073073"}, {"ref": "muraidraeszter/audio", "kernel_id": "104122572"}, {"ref": "raczkristof/rfutils", "kernel_id": "105798912"}, {"ref": "maximolifer/2311-olifer-lab3", "kernel_id": "105575765"}, {"ref": "danieltirael/zhinkin-2311", "kernel_id": "105580073"}, {"ref": "fur911/2310-idirov-ak-lab3", "kernel_id": "105344415"}, {"ref": "vadimnechaevs/nechaev-vadim-2381-3", "kernel_id": "105463246"}, {"ref": "purtovnm/purtov2311lab3", "kernel_id": "105620639"}, {"ref": "thedronny/sva-pravdin-3", "kernel_id": "107482414"}, {"ref": "shmlvssh/rainforest-shumilov-aleksandr-2304", "kernel_id": "112750538"}]}
{"competition_id": "21685", "kernels": [{"ref": "tareksherif/easy-way-to-convert-mp3-to-wav", "kernel_id": "11339615"}, {"ref": "ashrafeed/quran-speech-to-text", "kernel_id": "11336885"}, {"ref": "pteacher/asr-with-wave2vec2", "kernel_id": "36859303"}, {"ref": "mahmoudnasser001/asr-with-wave2vec2", "kernel_id": "71624846"}, {"ref": "syednusayruddin/25261da914", "kernel_id": "125141904"}]}
{"competition_id": "21686", "kernels": [{"ref": "rizvandwiki/notebook-baseline-mti-dac-bootcamp-regression", "kernel_id": "10603964"}, {"ref": "catfishy/test-dlu", "kernel_id": "10699630"}, {"ref": "reww123/kernel62be92d83a", "kernel_id": "10716777"}]}
{"competition_id": "21702", "kernels": []}
{"competition_id": "21704", "kernels": []}
{"competition_id": "21707", "kernels": [{"ref": "yymm120/kernel2995050048", "kernel_id": "11139636"}, {"ref": "villib/kggle-employee-villib", "kernel_id": "12738461"}]}
{"competition_id": "21723", "kernels": [{"ref": "usharengaraju/moa-differential-privacy-using-tfprivacy-tpu", "kernel_id": "6147367"}, {"ref": "usharengaraju/tfagents-environment-policy-driver", "kernel_id": "7934748"}, {"ref": "kwabenantim/gfootball-stable-baselines3", "kernel_id": "11994462"}, {"ref": "devanshu125/starter-notebook", "kernel_id": "11999852"}, {"ref": "seriousran/ready-to-dev-gfootball-rl-agent-baseline-tf2", "kernel_id": "11997662"}, {"ref": "piotrstanczyk/gfootball-train-seed-rl-agent", "kernel_id": "11873249"}, {"ref": "piotrstanczyk/gfootball-template-bot", "kernel_id": "11872974"}, {"ref": "wagnerikeda/get-game-history", "kernel_id": "12942613"}, {"ref": "wagnerikeda/is3d-episode", "kernel_id": "12890837"}, {"ref": "kwabenantim/gfootball-academy", "kernel_id": "12059299"}, {"ref": "sinaasappel/strange-behaviour-run-left-agent", "kernel_id": "12002327"}, {"ref": "shotaro/optimizing-tunable-bot-with-optuna", "kernel_id": "12335021"}, {"ref": "illidan7/marauding-wingers-score-1041-1", "kernel_id": "12785565"}, {"ref": "garethjns/deep-q-learner-starter-code", "kernel_id": "12033746"}, {"ref": "garethjns/gfootball-apis-and-linear-q-learner-example", "kernel_id": "12013574"}, {"ref": "garethjns/convolutional-deep-q-learner", "kernel_id": "12048935"}, {"ref": "sgzou2000/reinforcement-learning-with-modified-rewards", "kernel_id": "12971481"}, {"ref": "mlconsult/1149-ish-bot-rl-approximation", "kernel_id": "12697707"}, {"ref": "mlconsult/best-open-rules-bot-score-1020-7", "kernel_id": "12338236"}, {"ref": "huiunited/hui-gfootball-with-memory-patterns-from-yegor", "kernel_id": "12640904"}, {"ref": "jiahangtian/google-football-episode-scraper", "kernel_id": "12929828"}, {"ref": "ringhilterra17/local-agent-evaluation-framework", "kernel_id": "12752534"}, {"ref": "sx2154/gfootball-rules-from-environment-exploration", "kernel_id": "12016579"}, {"ref": "denisvodchyts/dqn-tf-agent-with-rule-base-collection-policy", "kernel_id": "12625538"}, {"ref": "felipebihaiek/google-football-episode-scraper-quick-fix", "kernel_id": "12906058"}, {"ref": "felipebihaiek/convolutional-deep-q-learner", "kernel_id": "12651879"}, {"ref": "tomkelly0/lightgbm-10mins-940", "kernel_id": "12532801"}, {"ref": "mikezhang95/gfootball-template-bot", "kernel_id": "12162402"}, {"ref": "mikezhang95/gfootball-with-memory-patterns", "kernel_id": "12609356"}, {"ref": "robga/google-football-episode-scraper", "kernel_id": "12010366"}, {"ref": "koza4ukdmitrij/what-s-wrong-with-y", "kernel_id": "12059038"}, {"ref": "koza4ukdmitrij/smartcontrolstrategy", "kernel_id": "12013346"}, {"ref": "gshirato/very-first-beginner-kernel-for-overwhelmed-ones", "kernel_id": "12735388"}, {"ref": "akashsuper2000/gfootball-with-memory-patterns", "kernel_id": "12521346"}, {"ref": "akashsuper2000/1149-ish-bot-rl-approximation", "kernel_id": "12815025"}, {"ref": "akashsuper2000/deep-q-learner-starter-code", "kernel_id": "12815083"}, {"ref": "jagdmir/let-s-play-football", "kernel_id": "12110272"}, {"ref": "yegorbiryukov/gfootball-with-memory-patterns", "kernel_id": "12190312"}, {"ref": "c7934597/gfootball-template-bot", "kernel_id": "12595699"}, {"ref": "lviano/gail-football", "kernel_id": "12631152"}, {"ref": "jserenity/gfootball-env-observation-and-submit-tips", "kernel_id": "12189468"}, {"ref": "kuto0633/gfootball-modified-rainbow-dqn-pfrl", "kernel_id": "12355636"}, {"ref": "kuto0633/gfootball-rainbow-dqn-pfrl", "kernel_id": "12270639"}, {"ref": "eladwar/dgl-football1", "kernel_id": "12345982"}, {"ref": "jcnunezmoreno/epv-pc-xg-metrica-release", "kernel_id": "12524450"}, {"ref": "michaelhuang1017/gfootball-train-seed-rl-agent", "kernel_id": "12613588"}, {"ref": "harisme/gfootball-train-seed-rl-agent", "kernel_id": "12138488"}, {"ref": "swapnilbhange/baseline-bot", "kernel_id": "12969233"}, {"ref": "morizin/gfootball-train-seed-rl-agent", "kernel_id": "12002318"}, {"ref": "tchaye59/gfootball-ppo-agent", "kernel_id": "12104139"}, {"ref": "tchaye59/gfootball-ppo-simpleagent", "kernel_id": "12501851"}, {"ref": "lumierebatalong/gfootball-machine-learning", "kernel_id": "12290495"}, {"ref": "yamatokataoka/train-agent-with-rl-replicas", "kernel_id": "12888427"}, {"ref": "yamatokataoka/how-to-continue-your-training-with-rl-replicas", "kernel_id": "12953897"}, {"ref": "taahakhan/vectorized-readable-agent-for-starting-out", "kernel_id": "12363011"}, {"ref": "eugenkeil/simple-baseline-bot", "kernel_id": "12146406"}, {"ref": "bitcrunch/dqn-with-expanded-wrapper-115v3", "kernel_id": "12495311"}, {"ref": "arunprathap/replay-json-eda-i", "kernel_id": "12047594"}, {"ref": "arunprathap/interpreting-replay-json", "kernel_id": "12042973"}, {"ref": "arunprathap/a-traditional-data-science-approach", "kernel_id": "12043582"}, {"ref": "imoore/football-simple-sample", "kernel_id": "12621746"}, {"ref": "rmibizet/fixed-google-football-episode-scraper", "kernel_id": "12963236"}, {"ref": "rmibizet/json-replay-file-to-v115-representation", "kernel_id": "12980651"}, {"ref": "rmibizet/convolutional-deep-q-learning-gfootball-agent", "kernel_id": "12525195"}, {"ref": "kazumaitami/notebook93a09d0e2c", "kernel_id": "12716529"}, {"ref": "antonioarci/clingo-agent-get-started", "kernel_id": "12534455"}, {"ref": "liamblything/gfootball-template-bot-oct", "kernel_id": "12483256"}, {"ref": "liamblything/gfootball-template-bot-modified", "kernel_id": "12495441"}, {"ref": "lucaparga/gfootball-template-bot-lucia", "kernel_id": "12283472"}, {"ref": "jaronmichal/human-readable-visualization", "kernel_id": "12172220"}, {"ref": "gregschwartz18/hybrid-nn-defense-v2", "kernel_id": "12905020"}, {"ref": "dzhonghua/gfootball", "kernel_id": "12838710"}, {"ref": "wagnerikeda/game-visualization", "kernel_id": "13338269"}, {"ref": "digimagi/gf-get-episodes-18239675-nov28", "kernel_id": "13165086"}, {"ref": "digimagi/gf-get-episodes-18127517-nov28", "kernel_id": "13165100"}, {"ref": "digimagi/12th-place-solution-ml-approach-lb-1395", "kernel_id": "13524233"}, {"ref": "iiyamaiiyama/s-toppo-solution-lb-1400", "kernel_id": "13259987"}, {"ref": "iiyamaiiyama/clustering-agents", "kernel_id": "13259592"}, {"ref": "jazivxt/beautiful-bot-game", "kernel_id": "13094429"}, {"ref": "kuto0633/kutopon-s-pretrained-seed-rl-model-with-1625m", "kernel_id": "13263992"}, {"ref": "s23deepak/gfootball-dqn", "kernel_id": "13136763"}, {"ref": "lolik228/a2c-try", "kernel_id": "13046721"}, {"ref": "tharunkomari/gfootball", "kernel_id": "13387385"}, {"ref": "ammarbelfaqih/gfootball-ps-ppo", "kernel_id": "13229423"}, {"ref": "buraksimsek/gfootball", "kernel_id": "13051909"}, {"ref": "oscargarciaf/gfootball-modified-rainbow-dqn-pfrl", "kernel_id": "13023522"}, {"ref": "oscargarciaf/gfootball-stable-baselines3", "kernel_id": "13349249"}, {"ref": "gunhcolab/self-advancements-rn", "kernel_id": "13039441"}, {"ref": "vinnieantunes/train-agent-with-rl-replicas", "kernel_id": "13206223"}, {"ref": "bitcrunch/booster-pack-for-everyone", "kernel_id": "13021656"}, {"ref": "jshubh12/keras-reinforcement-learning-with-modified-rewards", "kernel_id": "13109152"}, {"ref": "marcusschaller/kutopon-s-pretrained-seed-rl-model-with-1625m", "kernel_id": "15518200"}, {"ref": "azminetoushikwasi/cristiano-ronaldo-goals-eda-analysis", "kernel_id": "26816900"}, {"ref": "faduregis/cristiano-ronaldo-goals-eda-analysis", "kernel_id": "30562889"}, {"ref": "anhvuhach/project-game-theory", "kernel_id": "34618317"}, {"ref": "aviansilviugabriel/convolutional-deep-q-learner", "kernel_id": "34379719"}, {"ref": "fredbakaj/environment-football", "kernel_id": "39588396"}, {"ref": "anandu08/gfootball-modified-rainbow-dqn-pfrl", "kernel_id": "44164632"}, {"ref": "anandu08/gfootball-reinforcement-learning", "kernel_id": "44169671"}, {"ref": "fabrycionakano/a2c-try", "kernel_id": "50476795"}, {"ref": "opedromartins/gfootball-reinforcement-learning", "kernel_id": "50481862"}, {"ref": "devanshhanda/gfootball-reinforcement-learning-project", "kernel_id": "57849655"}, {"ref": "samamafarooq/gfootball-reinforcement-learning", "kernel_id": "77292523"}, {"ref": "aamartinezreyes1972/notebook399440b9e1", "kernel_id": "98214122"}, {"ref": "ghimirerajan/final-9-rghimire-9-dds-8150create-reinforcement", "kernel_id": "102240128"}, {"ref": "phucddo/dop-dds8150-9", "kernel_id": "107385069"}, {"ref": "phucddo/gfootball-reinforcement-learning-copy", "kernel_id": "107371124"}, {"ref": "phucddo/gfootball-ps-ppo-copy", "kernel_id": "107369833"}, {"ref": "phucddo/gfootball-ppo-agent-copy", "kernel_id": "107370252"}, {"ref": "chenybit/cheny-bit", "kernel_id": "107554297"}, {"ref": "whinton/hintonwdds8150-9v2", "kernel_id": "121024467"}, {"ref": "jamesappenzeller/appenzellerjcsc8150-8-a9-notebook", "kernel_id": "124061293"}]}
{"competition_id": "21728", "kernels": []}
{"competition_id": "21729", "kernels": []}
{"competition_id": "21733", "kernels": [{"ref": "jpmiller/augmenting-data-with-translations", "kernel_id": "10963423"}, {"ref": "shahules/contradiction-xlm-kfold-starter", "kernel_id": "10971620"}, {"ref": "vbookshelf/the-game-is-afoot-baseline", "kernel_id": "10962965"}, {"ref": "rhtsingh/tpu-training-and-inference-pytorch-distilbert", "kernel_id": "10981694"}, {"ref": "rhtsingh/tpu-training-pytorch-nlp-xlmroberta", "kernel_id": "10966859"}, {"ref": "docxian/show-me-your-eda-my-dear-watson", "kernel_id": "10965930"}, {"ref": "parmarsuraj99/transforming-contradictory-sentences", "kernel_id": "10973244"}, {"ref": "xhlulu/contradictory-watson-concise-keras-xlm-r-on-tpu", "kernel_id": "10962695"}, {"ref": "tkrsh09/nlp-starter-complete-tpu-bert-guide-keras", "kernel_id": "10996517"}, {"ref": "ajax0564/bert-base-multilingual-cased", "kernel_id": "10973321"}, {"ref": "ajax0564/xlm-roberta-base", "kernel_id": "10971911"}, {"ref": "shubham9455999082/simple-notebook", "kernel_id": "10987392"}, {"ref": "doanquanvietnamca/dataset-for-multilanguage", "kernel_id": "10990706"}, {"ref": "doanquanvietnamca/contradictory-my-dear-watson-eda", "kernel_id": "10994322"}, {"ref": "doanquanvietnamca/trainning-mbert-tpu-pytorch", "kernel_id": "10994839"}, {"ref": "doanquanvietnamca/training-xlm-roberta", "kernel_id": "10996771"}, {"ref": "shirishsharma/xlm-roberta-and-eda-my-dear-watson", "kernel_id": "10978416"}, {"ref": "gunanandkumar/tutorial-notebook", "kernel_id": "10967521"}, {"ref": "tpothjuan/basic-eda-xnli-mnli-xlm-bert", "kernel_id": "10974778"}, {"ref": "anasofiauzsoy/tutorial-notebook", "kernel_id": "10900952"}, {"ref": "rli596/contradictory-my-dear-watson-data-aug", "kernel_id": "10997559"}, {"ref": "kiatweitan/contradictory-my-dear-watson", "kernel_id": "11686456"}, {"ref": "kiatweitan/contradictory-oh-my-dear-watson-laser-embedding", "kernel_id": "11689259"}, {"ref": "rohanrao/tpu-sherlocked-one-stop-for-with-tf", "kernel_id": "11162722"}, {"ref": "debashissanyal/nli-with-tf2-2-and-3-1", "kernel_id": "11685223"}, {"ref": "aiswaryaramachandran/mistake-to-theorize-before-one-has-data-watson", "kernel_id": "11351244"}, {"ref": "aiswaryaramachandran/elementary-my-dear-watson", "kernel_id": "11288522"}, {"ref": "kaoyubo/starter-notebook", "kernel_id": "11219534"}, {"ref": "dsivan/data-augmentation-3", "kernel_id": "11403742"}, {"ref": "rodsaldanha/contradictory-my-dear-watson-competition", "kernel_id": "11132972"}, {"ref": "yeayates21/fork-watson-keras-roberta-ssl-tweet-lb-0-80", "kernel_id": "11470784"}, {"ref": "sadiq18/english-translation", "kernel_id": "11445335"}, {"ref": "izarortin/more-data-and-data-aug-nli-by-keras", "kernel_id": "11337591"}, {"ref": "aditya08/translated-data-augmentation-xlm-roberta-kfold", "kernel_id": "11053603"}, {"ref": "aditya08/nli-data-translation-augmentation", "kernel_id": "11079880"}, {"ref": "krrai77/predicting-the-sentence-correlation", "kernel_id": "11113678"}, {"ref": "msafi04/watson-and-contradiction-keras-tpu", "kernel_id": "11062246"}, {"ref": "arhouati/bert-based-model-for-contradiction-detection", "kernel_id": "11775677"}, {"ref": "vbookshelf/basics-of-bert-and-xlm-roberta-pytorch", "kernel_id": "11266612"}, {"ref": "qinhui1999/more-nli-datasets-xmlr-large", "kernel_id": "11248074"}, {"ref": "pradeepmuniasamy/contradictory-my-dear-watson-everything-you-need", "kernel_id": "11122350"}, {"ref": "ahmedalesh/notebook-bert-model", "kernel_id": "11089925"}, {"ref": "pawan28a95/fast-ai-quick-baseline", "kernel_id": "11080848"}, {"ref": "shaitender/my-dear-watson-with-xlm-roberta-large", "kernel_id": "11038328"}, {"ref": "alturutin/watson-xlm-r-nli-inference", "kernel_id": "11543499"}, {"ref": "alturutin/watson-xml-r-nli-train", "kernel_id": "11519224"}, {"ref": "rhtsingh/tpu-inference-pytorch-nlp-xlmroberta", "kernel_id": "11164467"}, {"ref": "rhtsingh/interpreting-text-models-with-bert-on-tpu", "kernel_id": "11005362"}, {"ref": "vpkprasanna/bert-base-uncased-multilingual", "kernel_id": "11016692"}, {"ref": "pkundu25/nlp-contradiction-prediction-xlm-roberta-v2", "kernel_id": "11164561"}, {"ref": "yihdarshieh/more-nli-datasets-hugging-face-nlp-library", "kernel_id": "11093125"}, {"ref": "yihdarshieh/masked-my-dear-watson-mlm-with-tpu", "kernel_id": "11310642"}, {"ref": "yihdarshieh/visualize-and-implement-bert-s-token-masking", "kernel_id": "11382231"}, {"ref": "samansiadati/watson-nli-with-tensorflow-and-transformers", "kernel_id": "11103479"}, {"ref": "marcellosusanto/input-configuration-benchmark-using-distilbert", "kernel_id": "11099472"}, {"ref": "sonyrajan/contradictory-on-xlm", "kernel_id": "11394622"}, {"ref": "thegodchurch/bert-base-uncased-multilingual", "kernel_id": "11072503"}, {"ref": "narendrageek/nlp-augmenter-5-fold-bert-translator", "kernel_id": "11110879"}, {"ref": "rsingh99/eda-contradictory-my-dear-watson", "kernel_id": "11082004"}, {"ref": "ravi02516/eda-and-upsampling-of-data", "kernel_id": "11378416"}, {"ref": "ravi02516/bert-training-5-fold-cross-validation", "kernel_id": "11250744"}, {"ref": "sumitm004/a-deep-dive-into-multinli-and-xnli-through-eda", "kernel_id": "11078919"}, {"ref": "pawan2905/my-dear-watson", "kernel_id": "11445951"}, {"ref": "johndoe23456/contradictory-my-dear-watson", "kernel_id": "11308837"}, {"ref": "mattbast/training-transformers-with-tensorflow-and-tpus", "kernel_id": "11148955"}, {"ref": "re1372/my-dear-watson-nli", "kernel_id": "11965581"}, {"ref": "itsbitan/contradictary", "kernel_id": "11457206"}, {"ref": "krsna540/holmes-deductions", "kernel_id": "11605397"}, {"ref": "pawan300/nlp-premise", "kernel_id": "11841121"}, {"ref": "stephenmugisha/roberta-vs-watson", "kernel_id": "11080309"}, {"ref": "nitinfaye/predict-two-sentences", "kernel_id": "11081237"}, {"ref": "leoisleo1/fork-from-contradiction-xlm-kfold-tpu", "kernel_id": "11008485"}, {"ref": "irinagia/xlm-roberta-large-xnli", "kernel_id": "11392634"}, {"ref": "barteksadlej123/external-data-with-baseline-model", "kernel_id": "11335386"}, {"ref": "barteksadlej123/start-with-tutorial-notebook", "kernel_id": "11283948"}, {"ref": "fstcap/contradictory-tpu-bert", "kernel_id": "11279241"}, {"ref": "maya01/my-dear-watson", "kernel_id": "11205177"}, {"ref": "smagh777/natural-language-inferencing", "kernel_id": "11074549"}, {"ref": "rajaraman6195/english-to-sql", "kernel_id": "11807261"}, {"ref": "pastrop/my-dear-watson-pytorch", "kernel_id": "11277839"}, {"ref": "introvertedspud/eda-contradictory-my-dear-watson", "kernel_id": "11087689"}, {"ref": "jesudasdsouza/rnn-vs-lstm-gru-vs-bilstm-vs-transformers", "kernel_id": "11093719"}, {"ref": "ht5brer/watson-bert-baseline", "kernel_id": "11202878"}, {"ref": "barracoda/pytorch-bert-multilingual", "kernel_id": "11229967"}, {"ref": "vishynair/language-detection-using-spacy", "kernel_id": "11929726"}, {"ref": "forwet/data-upsampling-data-visualization-robert-model", "kernel_id": "11144692"}, {"ref": "shivanandmn/bert-pytorch-tpu", "kernel_id": "11142339"}, {"ref": "doanquanvietnamca/ensemble-submission-csv", "kernel_id": "11016766"}, {"ref": "doanquanvietnamca/started-code-super-tutorial-xlm-roberta", "kernel_id": "11029840"}, {"ref": "zaynhaider/detecting-contradiction-and-entailment", "kernel_id": "11729237"}, {"ref": "kkhandekar/contradiction-detection-multilingual-bert", "kernel_id": "11007759"}, {"ref": "kkhandekar/elementary-my-dear-watson", "kernel_id": "11024985"}, {"ref": "kkhandekar/contradiction-detection-distilbert", "kernel_id": "11042447"}, {"ref": "kkhandekar/bert-vs-distilbert-vs-xlm-roberta-accuracy", "kernel_id": "11043821"}, {"ref": "kkhandekar/contradiction-detection-xlm-roberta", "kernel_id": "11043234"}, {"ref": "nupurroy/kernel674ca09f2c", "kernel_id": "11102398"}, {"ref": "nur988/semantic-similarity-with-bert", "kernel_id": "11880346"}, {"ref": "nur988/dear-watson", "kernel_id": "11845161"}, {"ref": "tuckerarrants/watson-kfold-xlm-r-translation-augmentation", "kernel_id": "11037852"}, {"ref": "tuckerarrants/using-google-translate-for-nlp-augmentation", "kernel_id": "11073346"}, {"ref": "dmitryyemelyanov/very-contradictory-eda", "kernel_id": "11083219"}, {"ref": "adityajohnny/let-s-see-how-sherlock-holmes-found-nlp-exciting", "kernel_id": "11709294"}, {"ref": "toastedalmonds/translating-contradictory-my-dear-watson-data", "kernel_id": "11393468"}, {"ref": "trinadhsingaladevi/contradictory-my-dear-watson", "kernel_id": "11168641"}, {"ref": "thomaskonstantin/my-dear-watson-analysis-and-prediction", "kernel_id": "11476696"}, {"ref": "reichenbch/tpu-tutorial-code", "kernel_id": "11235467"}, {"ref": "adammontgomerie/notebooke72e321c6e", "kernel_id": "11381142"}, {"ref": "dimasmunoz/a-simple-bert-approach", "kernel_id": "11056462"}, {"ref": "dimasmunoz/clean-english-data-roberta", "kernel_id": "11096512"}, {"ref": "swatisk2702/natural-language-inferencing", "kernel_id": "11104798"}, {"ref": "jaredmarvel/tutorial-notebook", "kernel_id": "11434760"}, {"ref": "tpothjuan/data-augmentation-with-googletrans-also-tta", "kernel_id": "11102133"}, {"ref": "avaniudupa/contradictory-my-dear-watson", "kernel_id": "11107371"}, {"ref": "boasloeb/watsoncontradiction", "kernel_id": "11238888"}, {"ref": "geekycoder0/contradictory-watson", "kernel_id": "12098613"}, {"ref": "cweic220591/inference-model-ensemble", "kernel_id": "12885026"}, {"ref": "cweic220591/pytorch-lightning-multilingualbert-baseline", "kernel_id": "12580829"}, {"ref": "victororlov/nli-bert-tpu-tf", "kernel_id": "12848786"}, {"ref": "naiara/nlp-contradictory-mr-watson", "kernel_id": "12875757"}, {"ref": "sapthrishi007/train-manually-bert-v1", "kernel_id": "12453496"}, {"ref": "mojammel/inference-with-xlm-roberta", "kernel_id": "12093149"}, {"ref": "satyamkryadav/multi-class-classification-watson", "kernel_id": "12467817"}, {"ref": "saztorralba/contradiction-lstmencoder-englishonly", "kernel_id": "12665972"}, {"ref": "jbagdon/predict-with-tf-xlm-roberta-large", "kernel_id": "13666218"}, {"ref": "sharpshim/dearwatson-xlmroberta-pytorch", "kernel_id": "13825770"}, {"ref": "ruthvik17/it-is-contradictory-relation-extraction", "kernel_id": "13392787"}, {"ref": "rahulbana/contradictory-my-dear-watson-using-xlni-robert", "kernel_id": "13448834"}, {"ref": "rahulbana/contradictory-my-dear-watson-using-xlni-robert2", "kernel_id": "13452482"}, {"ref": "eladwar/text-catboost", "kernel_id": "13799737"}, {"ref": "ameya98/contradictions", "kernel_id": "13208405"}, {"ref": "sapthrishi007/pytorch-gap-xlmroberta-multiple-datasets", "kernel_id": "13380346"}, {"ref": "sarachilson/data-exploration-xlm-bert", "kernel_id": "13113961"}, {"ref": "sanjanarevankar/watson-xml-r-nli-train", "kernel_id": "13377696"}, {"ref": "petraderecskei/notebookw", "kernel_id": "13965886"}, {"ref": "petraderecskei/notebookwatson", "kernel_id": "13946399"}, {"ref": "arenagrenade/contradictory-my-dear-watson", "kernel_id": "13479318"}, {"ref": "rajnathpatel/multilingual-nli", "kernel_id": "13511536"}, {"ref": "daotan/watson-using-bert", "kernel_id": "13337770"}, {"ref": "fabienravet/bert-multilingual", "kernel_id": "13243693"}, {"ref": "minatighosh2020/contradictory-my-dear-watson-using-xlni-robert2", "kernel_id": "13529326"}, {"ref": "muneshwarmca1uoa/contradictory-my-dear-watson", "kernel_id": "13982257"}, {"ref": "ceshine/mt5-base-mnli-zero-shot", "kernel_id": "14481602"}, {"ref": "ceshine/preprocess-and-finetune-mt5", "kernel_id": "14423371"}, {"ref": "ceshine/pytorch-lightning-finetune-mnli-pretrained-mt5", "kernel_id": "14439766"}, {"ref": "jamesmcguigan/nlp-contradictory-laser-embeddings-keras", "kernel_id": "14363237"}, {"ref": "wchowdhu/detect-entailment-contradiction-using-tensorflow", "kernel_id": "14631065"}, {"ref": "jacobbloodaxe/watson-nb", "kernel_id": "14548313"}, {"ref": "skiller/classification-so-elementary", "kernel_id": "14120389"}, {"ref": "poulami123/watson", "kernel_id": "14161585"}, {"ref": "lvalencia/xml-roberta-watson-fight-contradiction", "kernel_id": "14540879"}, {"ref": "naim99/basics-of-bert-and-xlm-roberta-pytorch", "kernel_id": "14174495"}, {"ref": "vijayalakshmibhagat/vb-contradict", "kernel_id": "14499159"}, {"ref": "jswxhd/nli-beginner-eda-bert-baseline", "kernel_id": "14395673"}, {"ref": "muthuannalakshmia/translate-snli-to-tamil", "kernel_id": "14441851"}, {"ref": "muthuannalakshmia/phase-2", "kernel_id": "14441183"}, {"ref": "fabienravet/testing-data-augmentation-with-bert", "kernel_id": "14136177"}, {"ref": "yoohyuck/multilingual-roberta", "kernel_id": "14625096"}, {"ref": "katharinamenz/tutorial-notebook-edited-by-katharinamenz", "kernel_id": "14249652"}, {"ref": "arin006/electra-arin006-28-2021", "kernel_id": "15824576"}, {"ref": "faressayah/text-analysis-topic-modeling-with-spacy-gensim", "kernel_id": "15619405"}, {"ref": "daniilbuchko/multilingual-roberta", "kernel_id": "15761352"}, {"ref": "jerinm/nlp-language-inferencing-model-bert", "kernel_id": "15593862"}, {"ref": "njmmaryem/contradictory-my-dear-watson", "kernel_id": "15365775"}, {"ref": "sunnychatterjee/nli-problem", "kernel_id": "15675470"}, {"ref": "sourabhy/result", "kernel_id": "15014134"}, {"ref": "modalayaswanth/submission-1", "kernel_id": "15938540"}, {"ref": "vamsikrishna500466/detecting-multilingual-text-using-tpu-vamsi-v-1-0", "kernel_id": "15584589"}, {"ref": "wh1rlw1nd/phase-2-cdaa35", "kernel_id": "15190303"}, {"ref": "ceshine/pytorch-lightning-finetune-mt5", "kernel_id": "16129689"}, {"ref": "nicovincx2/fine-tuning-gpu", "kernel_id": "16439814"}, {"ref": "nicovincx2/fine-tuning-tpu", "kernel_id": "16481393"}, {"ref": "wchowdhu/multilingual-natural-language-inference", "kernel_id": "16272989"}, {"ref": "wchowdhu/perform-cross-validation-on-limited-data", "kernel_id": "16357237"}, {"ref": "wolfy73/cmdw-simple-roberta-training-base-no-cheat", "kernel_id": "16549987"}, {"ref": "marcelolafeta/housing-prices-pae-imt", "kernel_id": "16051879"}, {"ref": "hugoarmandopazvivas/contradictory-my-dear-watson-hapv", "kernel_id": "16101881"}, {"ref": "yehoonjoo/nli-with-xlm-roberta", "kernel_id": "16183807"}, {"ref": "bathidoddi/nlp-bert-watson-contradictory", "kernel_id": "16291405"}, {"ref": "urstrulysai/xlm-roberta-base", "kernel_id": "16630144"}, {"ref": "arthurkunko/imt-watson", "kernel_id": "16051715"}, {"ref": "alexbas/freeze-language-model-activations-part-ii", "kernel_id": "16609396"}, {"ref": "alexbas/freeze-language-model-activations-part-i", "kernel_id": "16608411"}, {"ref": "cancan077/kc-contradictory", "kernel_id": "16194366"}, {"ref": "ardol24/xlm-roberta-v5", "kernel_id": "16578782"}, {"ref": "jiayee/ds-mentorship-2021-project", "kernel_id": "17029343"}, {"ref": "raozjuil/bert-starter-nli", "kernel_id": "17352424"}, {"ref": "rcmonteiro/contradictory-my-dear-watson-pytorch-bert-tpu", "kernel_id": "17791393"}, {"ref": "alters/xlm-roberta-base-test", "kernel_id": "17533209"}, {"ref": "jayo870810/xlm-robertwatson", "kernel_id": "17480621"}, {"ref": "jayo870810/augmenting-data-with-translations", "kernel_id": "17574609"}, {"ref": "nupurroy/notebookf6789a9b67", "kernel_id": "17644953"}, {"ref": "tumanovalexander/robertamodel", "kernel_id": "17199814"}, {"ref": "anandhisolaimuthu/notebookc30e853d49", "kernel_id": "17569831"}, {"ref": "sukanyabag/detecting-contradictions-in-multilingual-text", "kernel_id": "17333812"}, {"ref": "eboniklee/tutorial-notebook-detailed", "kernel_id": "17092723"}, {"ref": "haiyunhu/contradictory-my-dear-watson-pytorch-bert-tpu", "kernel_id": "17911446"}, {"ref": "dhairyashah23/xlm-roberta", "kernel_id": "17025221"}, {"ref": "danielxavier/pae-imt", "kernel_id": "17782232"}, {"ref": "benzyz/bert-base-multilingual-cased-pyotrch", "kernel_id": "17585136"}, {"ref": "victororlov/bert-simple-baseline-tensorflow", "kernel_id": "18407844"}, {"ref": "vishaldeoprasad/text-analysis-topic-modelling-with-spacy-gensim", "kernel_id": "18329551"}, {"ref": "iamfahady/contradictory-my-dear-watson-pytorch-gpu", "kernel_id": "18871162"}, {"ref": "shineiarakawa/pytorch-bert-by-transformers", "kernel_id": "18124894"}, {"ref": "federicocabrerapaez/contradictory-my-dear-watson-by-federico-cabrera", "kernel_id": "18785865"}, {"ref": "gruhitpatel/contradictory", "kernel_id": "19648982"}, {"ref": "victorsullivan/contradictory", "kernel_id": "19836889"}, {"ref": "dorianclay/a-solution-to-watson-s-contradictions", "kernel_id": "19293194"}, {"ref": "pradeepkr12/test-package", "kernel_id": "20117663"}, {"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "naimi69/my-dear-wattson", "kernel_id": "20566806"}, {"ref": "lanh18/nli-watson-project", "kernel_id": "20504562"}, {"ref": "crismolav/contradictory", "kernel_id": "20857793"}, {"ref": "omarmoghazy/notebook24612ce6b6-cde030", "kernel_id": "20893569"}, {"ref": "omarmoghazy/notebook24612ce6b6", "kernel_id": "20564083"}, {"ref": "renadashraf/notebook24612ce6b6", "kernel_id": "20873938"}, {"ref": "tp2422/exploring-roberta", "kernel_id": "21964531"}, {"ref": "giovanni11/xlm-roberta-large-xnli-class-head-transplant", "kernel_id": "21466751"}, {"ref": "operationalamplifier/watson-xlm-r-large-inference", "kernel_id": "21844694"}, {"ref": "operationalamplifier/watson-xlm-r-base-inference", "kernel_id": "21843353"}, {"ref": "operationalamplifier/watson-xlm-r-large-training", "kernel_id": "21843774"}, {"ref": "operationalamplifier/watson-xlm-r-base-training", "kernel_id": "21842750"}, {"ref": "operationalamplifier/watson-bert-baseline-inference", "kernel_id": "21842446"}, {"ref": "operationalamplifier/watson-bert-baseline-training", "kernel_id": "21841924"}, {"ref": "davidomrai/natural-language-inferencing", "kernel_id": "21876420"}, {"ref": "tjuyulu/notebookf0ed6ae458", "kernel_id": "21482789"}, {"ref": "mariyagoliyad/train-with-xlm-roberta", "kernel_id": "21307850"}, {"ref": "dan1ar/andreev-hw3-xxx-recognition", "kernel_id": "22147850"}, {"ref": "maricinnamon/contradictory-my-dear-watson-nlp-tensorflow", "kernel_id": "22519004"}, {"ref": "saraswatitiwari/contradictory-my-dear-watson", "kernel_id": "22506350"}, {"ref": "nicknosorogov/bertexperiment-ii", "kernel_id": "22466137"}, {"ref": "nkitgupta/text-representations", "kernel_id": "22459338"}, {"ref": "prodigiousphoton/sher-locked", "kernel_id": "22767941"}, {"ref": "nishantrajadhyaksha/contradictory-my-dear-watson-pytorch-lightning-w-b", "kernel_id": "22057392"}, {"ref": "nishantrajadhyaksha/pytorchlightning-xlmroberta", "kernel_id": "22081284"}, {"ref": "abdelrhmanelkhouly/text-representations", "kernel_id": "22704923"}, {"ref": "zwartfreak/bert-nli-explanable", "kernel_id": "22983625"}, {"ref": "fionaluo7/text-representations", "kernel_id": "22727682"}, {"ref": "liberatoryohan/nli-watson", "kernel_id": "23978781"}, {"ref": "sytuannguyen/contradictory-with-automated-ensembling", "kernel_id": "23702941"}, {"ref": "mufseera/sentence-prediction", "kernel_id": "23953692"}, {"ref": "ugurbykyldz/contradictory-my-dear-watson-just-english", "kernel_id": "23276685"}, {"ref": "mouadnidabdellah/contradictory-my-dear-watson-with-xlm-r", "kernel_id": "23616080"}, {"ref": "abdessamadajouhy/notebook32b5b0f3aa", "kernel_id": "23717762"}, {"ref": "anshulmehtakaggl/intro-to-nlp-with-tensorflow", "kernel_id": "23526011"}, {"ref": "sanketbose97/nli-my-dear-watson", "kernel_id": "23902232"}, {"ref": "choikangrim/202117643-ai", "kernel_id": "23403291"}, {"ref": "ging21/contradictory-my-dear-watson", "kernel_id": "24099570"}, {"ref": "saburb/text-analysis-topic-modellingwith-spacy-gensim", "kernel_id": "24489771"}, {"ref": "montec/multilingual-roberta", "kernel_id": "24104204"}, {"ref": "denizbektas/contradictory-my-dear-watson-with-xlm-roberta", "kernel_id": "24284285"}, {"ref": "k170040024/contradictory-my-dear-watson-pytorch-xlmr", "kernel_id": "24218003"}, {"ref": "skorpion21/contradictory-my-dear-bertson", "kernel_id": "24096176"}, {"ref": "xnuray98s/tutorial-notebook", "kernel_id": "24136594"}, {"ref": "gopalgoyal612002/nli-watson-project-bert-embadding", "kernel_id": "24634737"}, {"ref": "ahmedmohamed11/chandan-taneja-101917048-final", "kernel_id": "25464829"}, {"ref": "nikhilmoudgil/notebook6b12266cc9", "kernel_id": "25400515"}, {"ref": "hbansal2107/notebook24b4f89b7b", "kernel_id": "25402282"}, {"ref": "ctanejaaa/chandan-taneja-101917048-final", "kernel_id": "25408896"}, {"ref": "tush7301/watson", "kernel_id": "25363086"}, {"ref": "yasinghasemipour/myproject", "kernel_id": "25597192"}, {"ref": "ravikirandendukuri/roberta-version1", "kernel_id": "25962412"}, {"ref": "kartikeyaj0/albert-kj", "kernel_id": "26725793"}, {"ref": "shreyansh6996/tpu-robert", "kernel_id": "26566233"}, {"ref": "lucasgsalves/contradictory-my-dear-watson", "kernel_id": "26704039"}, {"ref": "maryiaznak/nli-pairs-of-sentences-tpu-xlm-roberta", "kernel_id": "26702970"}, {"ref": "maryiaznak/nli-pairs-of-sentences-tpu-bert", "kernel_id": "26702223"}, {"ref": "ravikirandendukuri/submission-temp", "kernel_id": "26873339"}, {"ref": "ravikirandendukuri/word2vec-version1-original-dataset", "kernel_id": "26877462"}, {"ref": "ravikirandendukuri/bert-version2-without-mnli-xnli", "kernel_id": "26848602"}, {"ref": "ravikirandendukuri/bert-version3-with-xnli", "kernel_id": "26851948"}, {"ref": "ravikirandendukuri/bert-version4-with-xnli-mnli", "kernel_id": "26853294"}, {"ref": "ravikirandendukuri/distilbert-version4-with-mnli-xnli", "kernel_id": "26856146"}, {"ref": "ravikirandendukuri/distilbert-version3-with-xnli", "kernel_id": "26855874"}, {"ref": "ravikirandendukuri/notebook1a2e57f734", "kernel_id": "26925672"}, {"ref": "ravikirandendukuri/bert-version1-with-mnli", "kernel_id": "26533936"}, {"ref": "ravikirandendukuri/distilbert-version1-without-mnli-xnli", "kernel_id": "26597899"}, {"ref": "priyanshuagwl/watson", "kernel_id": "27104566"}, {"ref": "santiagomarruffo/contradiction-competition-sub", "kernel_id": "27606426"}, {"ref": "as411011/contradictory-my-dear-watson-nlp-tensorflow", "kernel_id": "27921448"}, {"ref": "kwangsoo2/dlappsclass-pytorch", "kernel_id": "27612562"}, {"ref": "zhouyiming1/notebook60221a87d2", "kernel_id": "27541576"}, {"ref": "athews/contradiction-or-entailment-let-s-find-out", "kernel_id": "28689985"}, {"ref": "hosseinbahrami/a-simple-code-by-bert-with-xnli", "kernel_id": "28368720"}, {"ref": "tracyporter/nli-cosine-similarity", "kernel_id": "28357139"}, {"ref": "simimohsen/moh-watson", "kernel_id": "28820381"}, {"ref": "hoseinrahayi/notebook630ee8e65e", "kernel_id": "28675094"}, {"ref": "ltrahul/watson-solution-1", "kernel_id": "28804866"}, {"ref": "rahulseetharaman/tpu-xlm-roberta", "kernel_id": "29730312"}, {"ref": "rahulseetharaman/bert-base-multilingual", "kernel_id": "29321702"}, {"ref": "rahulseetharaman/siamese-bert", "kernel_id": "29304128"}, {"ref": "yagli18/contradictory-my-dear-watson", "kernel_id": "29899582"}, {"ref": "smartpy/mydearwatson-domainadaptation", "kernel_id": "29442617"}, {"ref": "nabilajahan/watson", "kernel_id": "29923453"}, {"ref": "nabilajahan/wason", "kernel_id": "29924504"}, {"ref": "devanshu12122/nlp-transformers-roberta-0-9255", "kernel_id": "29533567"}, {"ref": "francescoliveras/contradictory-nn-tpu-en-es", "kernel_id": "29578648"}, {"ref": "asfurnica/fast-ai-watson-entry", "kernel_id": "30025106"}, {"ref": "beezus666/nlp-guide-jhoward", "kernel_id": "30963810"}, {"ref": "immortalv5/contradictory", "kernel_id": "30553335"}, {"ref": "yy123123/rf-lr-nb", "kernel_id": "30725223"}, {"ref": "pkieliba/backtranslation-augmentation", "kernel_id": "30417071"}, {"ref": "pkieliba/contradictory-my-dear-roberta", "kernel_id": "30452441"}, {"ref": "abdullahhqaiser/training-xlm-r", "kernel_id": "30685063"}, {"ref": "hummmmm/watson-i-guess-you-wrong-this-hypothesis-is", "kernel_id": "30461076"}, {"ref": "antoinegoubert/xlmroberta-curriculum-learning-xnli-data-aug", "kernel_id": "30613762"}, {"ref": "harrychentw/basic-pytorch-xlmroerta-model", "kernel_id": "30009964"}, {"ref": "rayenghali023/simple-robertamodel-nlp", "kernel_id": "30069991"}, {"ref": "arti1117/contradictory-my-dear-watson", "kernel_id": "31841595"}, {"ref": "yaniv512/my-dear-watson", "kernel_id": "31419195"}, {"ref": "blessontomjoseph/mdw-translation-en-all-1", "kernel_id": "31322467"}, {"ref": "alihigo/nli-xlm-roberta", "kernel_id": "31864232"}, {"ref": "jubaxiii/notebook63cabe4ae7", "kernel_id": "31462124"}, {"ref": "sumitkumar0095/team-8", "kernel_id": "31966958"}, {"ref": "gazu468/all-about-bert-you-need-to-know", "kernel_id": "32665951"}, {"ref": "blessontomjoseph/my-dear-watson-pytorch-optuna", "kernel_id": "32070992"}, {"ref": "alessandrozanette/natural-language-inference-with-bert-model", "kernel_id": "32971519"}, {"ref": "mkearney/tutorial-cleaned-up", "kernel_id": "33908714"}, {"ref": "kevvad/contradictory-watson-nlp", "kernel_id": "33498570"}, {"ref": "trushatalati/nlp-watson-multilingual-bert", "kernel_id": "33376864"}, {"ref": "lonnieqin/natural-language-inference-with-bert", "kernel_id": "33240773"}, {"ref": "lonnieqin/natural-language-inference-with-distilbert", "kernel_id": "33286646"}, {"ref": "szmuschi/notebookaae5b3c7ca", "kernel_id": "33303962"}, {"ref": "szmuschi/bert-1", "kernel_id": "33979501"}, {"ref": "szmuschi/distilbert-0", "kernel_id": "33979030"}, {"ref": "vaishakgkumar/contradictory-my-dear-watson", "kernel_id": "33455443"}, {"ref": "moathmohamed/natural-language-inference-with-bert", "kernel_id": "33459871"}, {"ref": "matteoperfidio/cmdw-xlm-roberta-train", "kernel_id": "33745948"}, {"ref": "sanandachowdhury/contradictory-watson", "kernel_id": "33506042"}, {"ref": "bogdanm12345/notebook8c2461c0b0", "kernel_id": "33006792"}, {"ref": "vijayee/nlpwork", "kernel_id": "33018302"}, {"ref": "kushagramakharia/tensorflow-detecting-contradiction-using-roberta", "kernel_id": "34636593"}, {"ref": "szmuschi/notebookc9b33c6f8e", "kernel_id": "34065677"}, {"ref": "aminemimounalaissami/text-analysis-test", "kernel_id": "34973526"}, {"ref": "aminemimounalaissami/cmdw-xlm-roberta-train", "kernel_id": "34973781"}, {"ref": "matteoperfidio/cmdw-xlm-roberta-test", "kernel_id": "34188967"}, {"ref": "famapa/using-nli-to-detect-contradictions-and-truths", "kernel_id": "34097995"}, {"ref": "sambitmukherjee/watson-2-a-set-of-baselines", "kernel_id": "35763194"}, {"ref": "sambitmukherjee/watson-1-eda-model-validation-schemes", "kernel_id": "35562189"}, {"ref": "zahid0/contradictory-my-dear-watson", "kernel_id": "35159878"}, {"ref": "abhigyaverma/tf-xlm-roberta-large", "kernel_id": "35663191"}, {"ref": "abhigyaverma/bert-base-multilingual-cased", "kernel_id": "35652809"}, {"ref": "fadynoshy/natural-language-inferencing-nli", "kernel_id": "35884185"}, {"ref": "beydaguler/contradictory-my-dear-watson", "kernel_id": "35041946"}, {"ref": "nikoolaylovyagin/contradictory-my-dear-watson-version-1", "kernel_id": "35199508"}, {"ref": "wepasabyrow/contradictory-my-dear-watson", "kernel_id": "35770831"}, {"ref": "maksimkotenkov/dear-watson-need-help", "kernel_id": "35329724"}, {"ref": "maksimkotenkov/natural-language-inference-with-bert", "kernel_id": "35867537"}, {"ref": "maksimkotenkov/contradictory-my-dear-watson-need-help", "kernel_id": "35945195"}, {"ref": "prosenjitgoswami/cmdw-xlm-roberta-test", "kernel_id": "35362126"}, {"ref": "williamsutcliffe/watson-finetuning-roberta", "kernel_id": "35445246"}, {"ref": "anantpandey29/watson-nli-with-xlm-roberta", "kernel_id": "36134447"}, {"ref": "hugolopg/nias-ia-nlp-contradictory-watson", "kernel_id": "36262470"}, {"ref": "tracyporter/contradictory-tf-bert", "kernel_id": "37245235"}, {"ref": "gautamimamidala/my-dear-watson-2", "kernel_id": "37579753"}, {"ref": "khodzhaevanilufar/xlm-roberta-large", "kernel_id": "37941816"}, {"ref": "yeemeitsang/nlp-logical-contradiction", "kernel_id": "37783935"}, {"ref": "cykadyy/my-dear-watson-with-huggingface", "kernel_id": "37377118"}, {"ref": "mahbubhasanuunical/mdw-model-train-test", "kernel_id": "37342941"}, {"ref": "mahbubhasanuunical/mdw-datapreprocess-train-test", "kernel_id": "37302402"}, {"ref": "kushanbhagya/contradictory-my-dear-watson", "kernel_id": "37440298"}, {"ref": "luistalavera/contradictory-my-dear-watson-eda-huggingface", "kernel_id": "38420030"}, {"ref": "yukikawawaki/ensemblelearning", "kernel_id": "38648756"}, {"ref": "yukikawawaki/xlmbert", "kernel_id": "38411272"}, {"ref": "manojkumarpentapalli/manoj-nli", "kernel_id": "38840467"}, {"ref": "robertlee05/contradictory-my-dear-watson-eda-huggingface", "kernel_id": "38950749"}, {"ref": "suraj520/deberta-know-train-infer", "kernel_id": "39107186"}, {"ref": "raviiloveyou/contradication-eda-berttf-with-automl", "kernel_id": "39484177"}, {"ref": "greyisbetter/tokenization-word-subword", "kernel_id": "39170894"}, {"ref": "abhinav010/contradictory-my-dear-watson-bert-eda", "kernel_id": "39637077"}, {"ref": "patrickadan/notebook-contradictory-watson-patrick", "kernel_id": "39351713"}, {"ref": "vibe95/contradictory-my-dear-watson", "kernel_id": "40805423"}, {"ref": "abhishekpsingh/pytorch-xlm-roberta-mydearwatson", "kernel_id": "40858699"}, {"ref": "heiswicked/cmdw-huggingface-w-lora-infer", "kernel_id": "40155230"}, {"ref": "heiswicked/cmdw-huggingface-w-lora-train", "kernel_id": "40150755"}, {"ref": "heiswicked/cmdw-lightning-2-0-and-wandb-infer", "kernel_id": "40085077"}, {"ref": "heiswicked/cmdw-lightning-2-0-and-wandb-train", "kernel_id": "40055882"}, {"ref": "heiswicked/cmdw-dataset", "kernel_id": "40428551"}, {"ref": "miguelgonzlezortiz/contradictory-my-dear-watson-debertav3-base", "kernel_id": "40121853"}, {"ref": "lizonns/my-dear-watson", "kernel_id": "40770464"}, {"ref": "aaditshukla/tensorflow", "kernel_id": "40245266"}, {"ref": "dskavinskaya/contradictory-transformers-and-j-howard-tutorial", "kernel_id": "40004718"}, {"ref": "alexia/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "41457115"}, {"ref": "adnanzaidi/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "41740026"}, {"ref": "l048596/contradictions-bert-tensorflow-50-86", "kernel_id": "41072419"}, {"ref": "l048596/contradictions-xlm-roberta-pytorch-87-41", "kernel_id": "41834862"}, {"ref": "rajatraj0502/contradictory-my-dear-watson", "kernel_id": "41336440"}, {"ref": "lusfernandotorres/identifying-contradictions-with-xlmroberta", "kernel_id": "41906760"}, {"ref": "anyaborisyuk/nli-transformers-tutorial-xlm-roberta", "kernel_id": "41337261"}, {"ref": "sourabhsingh03993493/tokenization-of-text", "kernel_id": "41847030"}, {"ref": "alinew/modified-tutorial", "kernel_id": "41163342"}, {"ref": "muhfaizan001/infer-mdeberta-v3-base-mnli-xnli", "kernel_id": "41321931"}, {"ref": "haraldbrinck/contradictory-deberta", "kernel_id": "41849346"}, {"ref": "lechuck666/elementary-watson", "kernel_id": "42369843"}, {"ref": "dillonwall/watson-bert-pytorch", "kernel_id": "42799714"}, {"ref": "khanghoang1215/gpu-sample-notebook-midterm", "kernel_id": "42889557"}, {"ref": "mariabistro/contradictory-my-dear-watson-roberta-xlm", "kernel_id": "42117307"}, {"ref": "yasinak/xlm-roberta-with-early-stopping-huggingface", "kernel_id": "43599769"}, {"ref": "picetrp/gpu-sample-notebook", "kernel_id": "43711550"}, {"ref": "picetrp/nli-transformers-tutorial-xlm-roberta", "kernel_id": "43717620"}, {"ref": "shido49221/gpu-sample-notebook249", "kernel_id": "43677949"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "randyli2/watson-starter", "kernel_id": "44672568"}, {"ref": "andreaskaufmann/sherlock-gpt-4o", "kernel_id": "44533473"}, {"ref": "swastikpandey0813/notebook0705830133", "kernel_id": "44122051"}, {"ref": "staratnyte/contradictory-watson", "kernel_id": "45970116"}, {"ref": "leoxu1243876/my-dear-watson-bert-base-multilingual-baseline", "kernel_id": "45360383"}, {"ref": "kanishk026/bert-model", "kernel_id": "45250788"}, {"ref": "heshamzaky/final", "kernel_id": "45763510"}, {"ref": "k1dobu3/574e7f8d0g7g0d9", "kernel_id": "45968102"}, {"ref": "juliocesarspanholi/trabalho-contradictory-tf-bert-2", "kernel_id": "46591118"}, {"ref": "lucassordi/nli-transformers-tutorial-translated", "kernel_id": "46595650"}, {"ref": "ganeshabhijith/contradictory-my-dear-watson", "kernel_id": "46580187"}, {"ref": "hatemalamir/entailment-bert", "kernel_id": "47385038"}, {"ref": "lonnieqin/ai-generated-text-detection-with-distilbert", "kernel_id": "47925886"}, {"ref": "dhineshbabbu/adb-contradictory-my-dear-watson", "kernel_id": "47890073"}, {"ref": "andrusha95/keras-nlp-starter-nb", "kernel_id": "47959604"}, {"ref": "igorik/watsannotebook1", "kernel_id": "47409674"}, {"ref": "trinhchung/kltn-detect-conflict", "kernel_id": "48080172"}, {"ref": "sergeypolivin/hf-distilbert-multilingual-trainer-api", "kernel_id": "49118762"}, {"ref": "vinaykashyap52/contradictory-tf-bert-sequence", "kernel_id": "49680994"}, {"ref": "vaibhavbawej07/contradictory-my-dear-watson-solution", "kernel_id": "50978509"}, {"ref": "riyaraizada/contradictory-my-dear-watson", "kernel_id": "50776916"}, {"ref": "kkamal2003/contradictory-my-dear-watson", "kernel_id": "50947241"}, {"ref": "tarndeepsingh16/contradictory-my-dear-watson", "kernel_id": "50772325"}, {"ref": "mohammedinfas/contradictory-tfbert", "kernel_id": "51417682"}, {"ref": "kepler296b/wabertson", "kernel_id": "51410534"}, {"ref": "yashpuri1912/my-dear-watson", "kernel_id": "51782984"}, {"ref": "alliehumphrey/allie-humphrey-tutorial-notebook", "kernel_id": "51440929"}, {"ref": "romeal/notebook8d377f0ad4", "kernel_id": "51417985"}, {"ref": "wrebelz/contradiction", "kernel_id": "52345781"}, {"ref": "ssravipati/modified-tutorial", "kernel_id": "52967143"}, {"ref": "mukesharipaka/contradictory-bert", "kernel_id": "52949978"}, {"ref": "mukesharipaka/tech-lstm", "kernel_id": "52818472"}, {"ref": "raulmois05/sherlock-cata-and-watson-raul-on-the-case", "kernel_id": "52993970"}, {"ref": "ravi6389/ravi-entailment-v2", "kernel_id": "53645218"}, {"ref": "rigveddesai/sentence-pair-classifier", "kernel_id": "53303191"}, {"ref": "ssravipati/contradictory-bert", "kernel_id": "53087667"}, {"ref": "raulmois05/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "53345153"}, {"ref": "vempaliakhil96/exp-1", "kernel_id": "54904481"}, {"ref": "nadiahamane/detecting-contradiction-and-entailment-in-multilin", "kernel_id": "54688628"}, {"ref": "shivambhardwaj6969/contradictorynotebook-comp", "kernel_id": "54220184"}, {"ref": "shadesh/contradictory-my-dear-watson", "kernel_id": "54631346"}, {"ref": "shadesh/contradictory-my-dear-watson-with-nlp", "kernel_id": "54368887"}, {"ref": "shadesh/just-fun", "kernel_id": "54873208"}, {"ref": "vempaliakhil96/exp-2", "kernel_id": "55170711"}, {"ref": "vempaliakhil96/03-exp-inf", "kernel_id": "55401661"}, {"ref": "thibaultbalsan/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "55278897"}, {"ref": "pablorrv/watson", "kernel_id": "55863730"}, {"ref": "xyznihal/random-forest-algorithm-for-my-dear-watson", "kernel_id": "56837092"}, {"ref": "jamessuryaputra/wrecking-text-deaf", "kernel_id": "56474007"}, {"ref": "shadesh/contradictory-my-dear-watson-python-package-index", "kernel_id": "57844519"}, {"ref": "shadesh/my-dear-watson-lstm-model", "kernel_id": "58015619"}, {"ref": "hellixir/watson-nli-transformers", "kernel_id": "59053748"}, {"ref": "ruchikarani/contradictory-my-dear-watson-prediction", "kernel_id": "60583700"}, {"ref": "daniyaakhmedova/dania-nlp-task-contradictr", "kernel_id": "61757429"}, {"ref": "sardorwwe/my-dear-watson-predict", "kernel_id": "61424968"}, {"ref": "bluepenguin2204/contradictory-my-dear-watson", "kernel_id": "61777915"}, {"ref": "lukautjesinovic/bert-fine-tunning-with-bayesian-hpo", "kernel_id": "62748876"}, {"ref": "evelynartoria/watson-custom-dataset-and-dataloader-pytorch-nlp", "kernel_id": "62171135"}, {"ref": "mohamedmaher5/contradictory-my-dear-watson-nli", "kernel_id": "62556791"}, {"ref": "sourav22899/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "63431589"}, {"ref": "sourav22899/notebook70f87ad383", "kernel_id": "63528689"}, {"ref": "madeleinepollack/assignment-1-ensemble", "kernel_id": "63525698"}, {"ref": "madeleinepollack/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "63525479"}, {"ref": "alexchalk/contradictory-dear-watson-transformers-simple", "kernel_id": "63531060"}, {"ref": "andreygulincodim/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "63504549"}, {"ref": "karlzhu99/watson-xml-r-nli-train", "kernel_id": "63468210"}, {"ref": "catherinening/common-experience-competition-d17092", "kernel_id": "63522189"}, {"ref": "serenaww/contradictory-xlm-base-xlm-large", "kernel_id": "63524529"}, {"ref": "serenaww/optimal-ensemble", "kernel_id": "63912334"}, {"ref": "ilkergungor/bert-tokenizer-truncation-ridge-torch-cuda", "kernel_id": "63513088"}, {"ref": "ysfchbn/ensemble-model", "kernel_id": "63671915"}, {"ref": "ysfchbn/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "63479214"}, {"ref": "panagiotistsimpos/team-2-common-experience-code", "kernel_id": "63480279"}, {"ref": "jackzhang111/train-with-xlm-roberta", "kernel_id": "63665821"}, {"ref": "harigoshika/multilingual-text-entailment-with-transformers", "kernel_id": "63960016"}, {"ref": "shriyakaram2001/xlm-roberta-mnli", "kernel_id": "63604098"}, {"ref": "sourav22899/contradictory-my-dear-watson", "kernel_id": "64198891"}, {"ref": "raja6242/contradictory-my-dear-watson", "kernel_id": "64803675"}, {"ref": "serenaww/contradictory-my-dear-watson", "kernel_id": "64200833"}, {"ref": "jackzhang111/ensemble-model-f4e43c", "kernel_id": "64033604"}, {"ref": "manintangkunathan/contradictory-my-dear-watson", "kernel_id": "64048094"}, {"ref": "alehandro35/train-xlm-roberta-on-t4x2-using-pytorch", "kernel_id": "65220121"}, {"ref": "srilathabondala/notebookf-sri", "kernel_id": "65940174"}, {"ref": "ghanatheyakashkumar/xlm-roberta-base-multi", "kernel_id": "65369553"}, {"ref": "yasminebenj/tutorial-notebook", "kernel_id": "65874353"}, {"ref": "kmjoshi8/premises-with-sentence-similarity", "kernel_id": "66935018"}, {"ref": "muratsahin1992/contradictory-my-dear-watson-competition", "kernel_id": "66694139"}, {"ref": "zjzhao1002/contradictory-xlm-roberta", "kernel_id": "66914170"}, {"ref": "willingtodev/notebookc4502036dc", "kernel_id": "67594030"}, {"ref": "kyawswarhein/ensemble-model", "kernel_id": "67114778"}, {"ref": "kyawswarhein/gpu-sample-notebook-ksh", "kernel_id": "67111665"}, {"ref": "kyawswarhein/contradictory-dear-watson-transformers-simple", "kernel_id": "67132206"}, {"ref": "vedantdeore07/shvk-bert", "kernel_id": "67614362"}, {"ref": "jesusdeleon19/contradictory-my-dear-watson-63-accuracy", "kernel_id": "69593290"}, {"ref": "jesusdeleon19/contradictory-my-dear-watson-transfer-learning", "kernel_id": "69603202"}, {"ref": "alperugurca/contradictory-my-dear-watson", "kernel_id": "69362019"}, {"ref": "rominaemilova/contradictory-my-dear-watson", "kernel_id": "69663039"}, {"ref": "italolmm/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "69782848"}, {"ref": "eunoialituradh/textretailmentrecongnition", "kernel_id": "70402448"}, {"ref": "nicocook/electra-submission", "kernel_id": "71359268"}, {"ref": "aslemimolu/ok-dilli-metinlerde-eli-ki-ve-kapsama-tespiti", "kernel_id": "71695465"}, {"ref": "heherr/xlm-roberta-5k-lightgbm", "kernel_id": "71178478"}, {"ref": "mikeb3665/cmdw-starter-notebook", "kernel_id": "72444657"}, {"ref": "leeju1/mydearwatson-deberta-mdeberta", "kernel_id": "73415319"}, {"ref": "karishmabattina/watson-competition-wip", "kernel_id": "74783617"}, {"ref": "trixmixing1ai/notebook366f7d1d3c", "kernel_id": "74999852"}, {"ref": "luiscrmartins/contradictory-dearwatson-using-roberta", "kernel_id": "75074483"}, {"ref": "vladlen32230/nli-debertav2model-fine-tuning", "kernel_id": "75012644"}, {"ref": "joaovitorpacheco/contradictorywatson-3-0", "kernel_id": "75871925"}, {"ref": "tensortorch001/notebook9586c536f8", "kernel_id": "76351476"}, {"ref": "aunanya875/hypothesis-prediction-using-xlm-roberta", "kernel_id": "77480602"}, {"ref": "ldausl/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "77674522"}, {"ref": "ldausl/watson-xlm-r-nli-inference", "kernel_id": "77675181"}, {"ref": "ldausl/contradictory-my-dear-watson", "kernel_id": "77674979"}, {"ref": "canfaneat/contradictory-fisrt-try", "kernel_id": "78671275"}, {"ref": "qinyuyang171/self-experiment1", "kernel_id": "78934159"}, {"ref": "xuepengxppx/contradictory-xlm-roberta", "kernel_id": "78511824"}, {"ref": "cherry56131/ftest1", "kernel_id": "79797783"}, {"ref": "rajithravikumargwu/roberta-xlm-split-augmented-v1", "kernel_id": "81008708"}, {"ref": "rajithravikumargwu/xlmroberta-hf-full-multilingual", "kernel_id": "81003844"}, {"ref": "rajithravikumargwu/contradictory-roberta-xlm-split-models", "kernel_id": "81005896"}, {"ref": "tristanjorge97/contradictory-my-dear-watson-xlm-roberta", "kernel_id": "82717763"}, {"ref": "farahdimshawy/contradictory-tf-bert", "kernel_id": "82621317"}, {"ref": "yohanesadrian/pytorch-framework-xml-roberta-model-ver-1-5", "kernel_id": "82599757"}, {"ref": "randomniebukvi/contradictory-whatson-nlp-nli", "kernel_id": "82192248"}, {"ref": "ferdinandlowata/pytorch-framework-xml-roberta-model-ver-1-5", "kernel_id": "83642420"}, {"ref": "mettakannyav/group1-code", "kernel_id": "83705273"}, {"ref": "ezhsluny/contradictory", "kernel_id": "83286901"}, {"ref": "pradeeplachireddy/nli-contradictory-pretrained", "kernel_id": "84075303"}, {"ref": "tomy00/contradictory-my-dear-watson", "kernel_id": "84845406"}, {"ref": "nursentore/notebook5e674430a6", "kernel_id": "86786414"}, {"ref": "chenzijie1018/contradictory-my-dear-watson-everything-y-2520aa", "kernel_id": "86076616"}, {"ref": "antonglushko1/dear-watson", "kernel_id": "88448376"}, {"ref": "jot079/notebook7cf30dafd9", "kernel_id": "90799112"}, {"ref": "luckypatidar11145/contradictory-dataset", "kernel_id": "90577849"}, {"ref": "yifanbu/contradictory-my-dear-watson", "kernel_id": "92265224"}, {"ref": "onepawn/contradictory-my-dear-watson-xlm-roberta-ipynb", "kernel_id": "93573161"}, {"ref": "closetotheedge/contradictory-my-dear-watson-xlm-roberta", "kernel_id": "94962599"}, {"ref": "hmnshudhmn24/contradictory-my-dear-watson-competition", "kernel_id": "94978210"}, {"ref": "daropenagos/notebookf987f73280", "kernel_id": "95742972"}, {"ref": "daropenagos/notebook74d322f470", "kernel_id": "95981011"}, {"ref": "nighatraza/kerasnlp-starter-notebook-contradictory-dearwatson", "kernel_id": "96967838"}, {"ref": "osmansevili/my-dear-watson", "kernel_id": "96864456"}, {"ref": "dvnber/notebookd193d827e5", "kernel_id": "97438809"}, {"ref": "nesema/notebook1ba8051822", "kernel_id": "97324396"}, {"ref": "ganyifu/ganyifu", "kernel_id": "100904001"}, {"ref": "zhenbao1/my-dear-watson-v2", "kernel_id": "100875114"}, {"ref": "gamzebabayigit/mydearwatson", "kernel_id": "102276906"}, {"ref": "evgendvorkin/moritzlaurer-mdeberta-v3-base-mnli-x-v5", "kernel_id": "104534360"}, {"ref": "kirkcorwin/kc-contradictory-my-dear-watson-competition", "kernel_id": "104061568"}, {"ref": "piratesofmonotony/osmmm", "kernel_id": "105610824"}, {"ref": "masanakashima/watson-nli-xlm-roberta-solution", "kernel_id": "106756660"}, {"ref": "shreedharshask/notebook9162d6495a", "kernel_id": "106655883"}, {"ref": "arkatkhasanov/multilingual-nli-with-mdeberta-v3", "kernel_id": "108374718"}, {"ref": "shaikabdussattar/contradicting-my-dear-watson-crosslingual", "kernel_id": "109716638"}, {"ref": "itsyoursumit/tutorial-notebook", "kernel_id": "110079757"}, {"ref": "cerxxxx/contradictory-my-dear-watson", "kernel_id": "111047427"}, {"ref": "davidemmanuel1/gemma-4-e2b-finetuning", "kernel_id": "114774241"}, {"ref": "davidemmanuel1/xml-roberta-ensemble", "kernel_id": "114772350"}, {"ref": "davidemmanuel1/e5-fnn", "kernel_id": "114758682"}, {"ref": "mdabdulalhasib/simple-deberta-v-and-conv1d-solution", "kernel_id": "114640599"}, {"ref": "fatihoter/notebookb3ddd74d02", "kernel_id": "116788328"}, {"ref": "evgendvorkin/moritzlaurer-mdeberta-v3-base-mnli-x-v5-2", "kernel_id": "121175826"}, {"ref": "edwardjohnwashins/contradictory-my-dear-watson2", "kernel_id": "121990631"}, {"ref": "ye070301/contradictory", "kernel_id": "121991790"}, {"ref": "dedquoc/my-dear-watson-multilingual-nli-baseline", "kernel_id": "126424729"}, {"ref": "aounyoussef/topone", "kernel_id": "128499132"}, {"ref": "bidyutmahanta/watson-notebook", "kernel_id": "129193453"}, {"ref": "matheusbonjour/watson-xlm-roberta-multilingual-nli", "kernel_id": "129477467"}, {"ref": "shashvatsingham/the-hypothesis-only-test-auditing-nli", "kernel_id": "130574648"}, {"ref": "vincenthwq/cmdw-nli-lightgbm-v2", "kernel_id": "130909784"}, {"ref": "maximolorenzoylosada/contradictory-watson-first-valid-baseline", "kernel_id": "130230000"}, {"ref": "trk95ls/nlp-text-processing", "kernel_id": "132426668"}, {"ref": "datascikhan/multilingual-nli-mastery-xlm-roberta-pipeline", "kernel_id": "134779581"}, {"ref": "datascikhan/watson-multilingual-nli-master-pipeline", "kernel_id": "134831176"}, {"ref": "kurtmeehan/lying-detective-nli", "kernel_id": "136424506"}]}
{"competition_id": "21734", "kernels": []}
{"competition_id": "21745", "kernels": []}
{"competition_id": "21755", "kernels": [{"ref": "developerx/tensorflow-hub-pre-trained-model", "kernel_id": "11681343"}, {"ref": "andrewdenisov/monet-cyclegan", "kernel_id": "11686351"}, {"ref": "tanlikesmath/upit-a-package-for-unpaired-img2img-translation", "kernel_id": "11468583"}, {"ref": "isaienkov/monet-masterpieces-eda-and-image-classification", "kernel_id": "11440173"}, {"ref": "nachiket273/cyclegan-pytorch", "kernel_id": "11656642"}, {"ref": "shams1/monet-cyclegan-tutorial", "kernel_id": "11433534"}, {"ref": "shams1/monet-variational-autoencoder", "kernel_id": "11437774"}, {"ref": "nicapotato/tensorflow-hub-for-landscapes", "kernel_id": "11940551"}, {"ref": "poonsfc5/understanding-cyclegan-with-inline-comments", "kernel_id": "11946131"}, {"ref": "nikhilpandey360/cycle-gan", "kernel_id": "11592792"}, {"ref": "jesperdramsch/getting-started-with-standard-gans-tutorial", "kernel_id": "11425122"}, {"ref": "jesperdramsch/understanding-and-improving-cyclegans-tutorial", "kernel_id": "11453772"}, {"ref": "dimitreoliveira/monet-paintings-berkeley-tfrecords-256x256", "kernel_id": "11488909"}, {"ref": "dimitreoliveira/introduction-to-cyclegan-monet-paintings", "kernel_id": "11433100"}, {"ref": "dimitreoliveira/improving-cyclegan-monet-paintings", "kernel_id": "11453599"}, {"ref": "sanikamal/creating-next-monet", "kernel_id": "11543005"}, {"ref": "ihelon/monet-visualization-and-augmentation", "kernel_id": "11435303"}, {"ref": "rhtsingh/training-gan-s-using-torch-xla-part-1-dc-gan", "kernel_id": "11551796"}, {"ref": "pkundu25/monet-cyclegan-baseline", "kernel_id": "11666198"}, {"ref": "together/gan-introduction-explained", "kernel_id": "11621333"}, {"ref": "atrisaxena/something-of-a-painter-myself-eda", "kernel_id": "11436586"}, {"ref": "atrisaxena/pytorch-cyclegan", "kernel_id": "11441576"}, {"ref": "parmarsuraj99/i-m-something-of-a-progressive-cycle-myself", "kernel_id": "11532368"}, {"ref": "sergioli212/generate-monet-paintings-using-dcgan", "kernel_id": "11516560"}, {"ref": "aniketmaurya/tfrecord-image-visualization", "kernel_id": "11886618"}, {"ref": "ipythonx/wiki-art-visual-art-encyclopedia-eda", "kernel_id": "11494316"}, {"ref": "ipythonx/monet-variational-auto-encoder", "kernel_id": "11432164"}, {"ref": "ipythonx/monet-and-vincent-gogh-art-work-eda", "kernel_id": "11446907"}, {"ref": "mizomatic/contrastive-unpaired-image-to-image-translation", "kernel_id": "11713473"}, {"ref": "virajbagal/pytorch-cyclegan", "kernel_id": "11810247"}, {"ref": "sovitrath/introduction-to-gans-for-beginners", "kernel_id": "11473210"}, {"ref": "justinong/trying-to-understand-cgan", "kernel_id": "11879323"}, {"ref": "maheer/cyclegan-monet", "kernel_id": "11439642"}, {"ref": "himasha0421/cyclegan", "kernel_id": "11428531"}, {"ref": "ruchi798/getting-started-with-gans", "kernel_id": "11435574"}, {"ref": "heyytanay/tf-paint-like-painter-generate-like-generator", "kernel_id": "11429141"}, {"ref": "daenys2000/cyclegan", "kernel_id": "11461818"}, {"ref": "doanquanvietnamca/tfrecords-dataset-256x256-wikiarts-1367-images", "kernel_id": "11464758"}, {"ref": "doanquanvietnamca/submit-cyclegan", "kernel_id": "11451825"}, {"ref": "doanquanvietnamca/the-beauty-of-cyclegan", "kernel_id": "11453571"}, {"ref": "bineeshsps/cycle-gan-monet", "kernel_id": "11537235"}, {"ref": "animesh2099/monet-gan", "kernel_id": "11550292"}, {"ref": "tarunbisht11/generate-art-using-fast-style-transfer-in-a-second", "kernel_id": "11941346"}, {"ref": "tarunbisht11/starter-submission-with-fast-style-transfer", "kernel_id": "11923233"}, {"ref": "alexandersamarin/cut-gan", "kernel_id": "11822682"}, {"ref": "drzhuzhe/monet-cyclegan-tutorial", "kernel_id": "11875632"}, {"ref": "amyjang/monet-cyclegan-tutorial", "kernel_id": "11374342"}, {"ref": "priyasharma3321/notebook1", "kernel_id": "11430729"}, {"ref": "imoore/generate-paintings-by-image-style-transfer", "kernel_id": "11447648"}, {"ref": "tiwariaiharsh/cycle-gan-pytorch-implementations", "kernel_id": "11567223"}, {"ref": "krzysztofpsk/dummy-cyclegan-from-original-paper", "kernel_id": "11732411"}, {"ref": "nigellwh/monet-dcgan", "kernel_id": "11810197"}, {"ref": "activegalaxy/monet-cyclegan-enc-dec-version", "kernel_id": "12157960"}, {"ref": "nicapotato/tf-hub-arbitrary-image-stylization", "kernel_id": "12953366"}, {"ref": "bootiu/cyclegan-pytorch-lightning", "kernel_id": "12454038"}, {"ref": "neeveermoree/learning-gan-s-with-pytorch", "kernel_id": "12728055"}, {"ref": "brechard/say-hi-to-the-new-stylegan-cut", "kernel_id": "12038857"}, {"ref": "krsna540/contrastive-learning", "kernel_id": "12061507"}, {"ref": "ameya98/monet-cyclegan-tutorial", "kernel_id": "12926251"}, {"ref": "justinong/trying-to-understand-cgan-a9cc99", "kernel_id": "12334492"}, {"ref": "latong/play-with-gans", "kernel_id": "12609384"}, {"ref": "enm185/vae-submission", "kernel_id": "12443350"}, {"ref": "enm185/gan-submission", "kernel_id": "12427968"}, {"ref": "vsingh11/notebookd7cdfbd6c0", "kernel_id": "12975162"}, {"ref": "paras1598/gan-getting-started-101703382-parasarora", "kernel_id": "12913056"}, {"ref": "umeshpandey12195/cycle-gan-monet-ipynb", "kernel_id": "12278395"}, {"ref": "swepat/cyclegan-to-generate-monet-style-images", "kernel_id": "12573718"}, {"ref": "forwet/unpaired-data-cyclicgan-awesome-monets", "kernel_id": "12238988"}, {"ref": "jcsantiago/step-by-step-cyclegan-photos-to-monet-paintings", "kernel_id": "12887764"}, {"ref": "unfriendlyai/cyclegan-without-identity-loss", "kernel_id": "12631609"}, {"ref": "pritam7777/i-m-something-of-a-painter-myself-using-gan", "kernel_id": "12326136"}, {"ref": "naim99/generative-adversarial-architecture-use-case", "kernel_id": "12057020"}, {"ref": "zephyrtay/trying-to-understand-cgan-copy", "kernel_id": "12191695"}, {"ref": "shubhampandey27/cyclegan", "kernel_id": "12208562"}, {"ref": "shubhampandey27/cycle-gan", "kernel_id": "12237471"}, {"ref": "arslan23/monet-paintings-grey-cells", "kernel_id": "12080217"}, {"ref": "matkneky/monet-cyclegan-trials", "kernel_id": "12394323"}, {"ref": "bagavathypriya/cycle-gan", "kernel_id": "12800578"}, {"ref": "sagnikmazumder37/monet-cycle-gan", "kernel_id": "12824119"}, {"ref": "michielbraat/small-cyclepatchgan", "kernel_id": "12845172"}, {"ref": "chelsea01/monet-gan-competition", "kernel_id": "12206140"}, {"ref": "waquarhaseeb/painter-myself-extract-piece-of-deep-learning", "kernel_id": "12353629"}, {"ref": "nathansafir/vae-submission-6bcb7d", "kernel_id": "12448166"}, {"ref": "nathansafir/gan-submission", "kernel_id": "12448201"}, {"ref": "nigellwh/monet-dcgan-2", "kernel_id": "12296887"}, {"ref": "raghavmagoo/gan-intro", "kernel_id": "12975513"}, {"ref": "hak999/simplified-cyclegan", "kernel_id": "12580216"}, {"ref": "kdjalksdjalk/notebook525416bf68", "kernel_id": "12504922"}, {"ref": "iteodorescu/monet-cyclegan-notebook", "kernel_id": "12733797"}, {"ref": "dimitreoliveira/cassava-leaf-disease-cyclegan-data-augmentation", "kernel_id": "13160988"}, {"ref": "alonsoags11/monet-didn-t-like-logos", "kernel_id": "13364869"}, {"ref": "henry090/r-fast-ai-and-cyclegan", "kernel_id": "13148763"}, {"ref": "greatrxt/monet", "kernel_id": "13476987"}, {"ref": "polo5cn/unit-creates-monet-paintings", "kernel_id": "13447397"}, {"ref": "kshitizcool/101703295-kshitizvarshney-gan-getting-started", "kernel_id": "13110152"}, {"ref": "manikmangla9/notebook03c31e6238", "kernel_id": "13088182"}, {"ref": "garvitraheja/introduction-to-cyclegan-garvit-101703188", "kernel_id": "13104546"}, {"ref": "unfriendlyai/cyclegan-with-dg-pretraining", "kernel_id": "13307657"}, {"ref": "kkelv1n/my-cyclegan", "kernel_id": "13360433"}, {"ref": "siddhantkhurana/dl-eval", "kernel_id": "13088361"}, {"ref": "zichuchen/ml2monet", "kernel_id": "13330011"}, {"ref": "kaliautkarsh/notebook-utkarshkalia", "kernel_id": "13074986"}, {"ref": "kaliautkarsh/notebook-101703597-utkarshkalia", "kernel_id": "13102598"}, {"ref": "albertozorzetto/pytorch-dcgan-implementation", "kernel_id": "13577987"}, {"ref": "tpothjuan/cyclegan-with-gpu-with-explanations", "kernel_id": "13477692"}, {"ref": "muskan71/101703354-muskan-gan-getting-started", "kernel_id": "13060871"}, {"ref": "atishayjain21/atishay-jain", "kernel_id": "13086185"}, {"ref": "hucuiooo/cyclegan-painter", "kernel_id": "13900114"}, {"ref": "anugrahakbar/cyclegan", "kernel_id": "13427506"}, {"ref": "mehmetlaudatekman/monet-cyclegan", "kernel_id": "13265165"}, {"ref": "rajat3429/101703429-rajat-verma", "kernel_id": "13104770"}, {"ref": "ankita74/notebook2-gan", "kernel_id": "13098618"}, {"ref": "gurleenkaurlail/evaluation-2", "kernel_id": "13099388"}, {"ref": "ashish101753002/cyclegan-to-generate-monet-style-images", "kernel_id": "13050608"}, {"ref": "ashish101753002/notebook8e8afb1302", "kernel_id": "13109553"}, {"ref": "harnoorsandhu/harnoorsandhu-coe12", "kernel_id": "13080298"}, {"ref": "akashjindalbe17/101703046-gan-getting-started-akash-jindal", "kernel_id": "13108680"}, {"ref": "sajaljain24/101753012-sajal-gan-getting-started2", "kernel_id": "13107734"}, {"ref": "sajaljain24/101753012-sajal-gan-getting-started", "kernel_id": "13111398"}, {"ref": "gurparveshgrewal/im-painter-201980013", "kernel_id": "13214463"}, {"ref": "abhishekbhatia45/notebookb00d934678", "kernel_id": "13219254"}, {"ref": "uohzey1/test-01", "kernel_id": "13601070"}, {"ref": "saifilmomin/gcs-path-for-dataset", "kernel_id": "13207109"}, {"ref": "changxiaoxie1/baseline", "kernel_id": "13332898"}, {"ref": "dylandipasupil/baseline", "kernel_id": "13349246"}, {"ref": "dylandipasupil1/baseline-911d4c", "kernel_id": "13349967"}, {"ref": "jamesmcguigan/cyclegan-from-repo", "kernel_id": "14097778"}, {"ref": "adhok93/vae-generation", "kernel_id": "14248496"}, {"ref": "poojagpta/cyclegan-resnet", "kernel_id": "14046466"}, {"ref": "bryanb/image-segmentation-u-net", "kernel_id": "14776612"}, {"ref": "sanjitschouhan/gan-getting-started", "kernel_id": "14827047"}, {"ref": "victororlov/art-landscape-colorization-unet-cgan", "kernel_id": "14912833"}, {"ref": "makkiemai/baseline-mp", "kernel_id": "14915673"}, {"ref": "sanyogv/cyclegan-pytorch-lightning", "kernel_id": "14828324"}, {"ref": "ayuraj/style-transfer-using-cyclegan-with-tf-and-w-b", "kernel_id": "14061681"}, {"ref": "joackobengochea/cyclegan-with-data-augmentation", "kernel_id": "14352955"}, {"ref": "marktk98/monet-cyclegan-tutorial", "kernel_id": "14539908"}, {"ref": "peaceduck/monet-cyclegan-tutorial", "kernel_id": "14539880"}, {"ref": "lvalencia/gans-conquerts-impressionism", "kernel_id": "14388783"}, {"ref": "thijsgelton/cyclegan-v1", "kernel_id": "14546365"}, {"ref": "wangyuren/painter-myself", "kernel_id": "14520656"}, {"ref": "inguyn/cyclegan-with-tpu", "kernel_id": "14117342"}, {"ref": "brendanartley/cyclegan-kaokore-faces-model", "kernel_id": "14210267"}, {"ref": "zcxhhh/cyclegan-monet", "kernel_id": "14077843"}, {"ref": "abbymabe/cyclegan-getting-started", "kernel_id": "14989629"}, {"ref": "fleek12/cycle-gan-to-create-monet-style-art", "kernel_id": "14219036"}, {"ref": "mojitoce/gan-functions-py", "kernel_id": "14193575"}, {"ref": "leanug/monet-cyclegan-tutorial", "kernel_id": "14837529"}, {"ref": "dannystax/monet-cyclegan-tutorial", "kernel_id": "14774854"}, {"ref": "honghongzhu/mlip-30-cyclegansters", "kernel_id": "14623264"}, {"ref": "bartpleiter/patchpermutationgan", "kernel_id": "14752992"}, {"ref": "sdarends98/notebooke978c36f51", "kernel_id": "14987294"}, {"ref": "adhok93/vq-vae-training", "kernel_id": "15398763"}, {"ref": "adhok93/image-generation-using-pre-trained-vq-vae", "kernel_id": "15411840"}, {"ref": "aiftwn/new-kernel-91fd73", "kernel_id": "15651647"}, {"ref": "annatmp/monet-cyclegan-mlip-2021", "kernel_id": "15325895"}, {"ref": "bibianbennink/monet-cyclegan-switch-to-dualgan", "kernel_id": "15235426"}, {"ref": "peaceduck/monet-pretraining", "kernel_id": "15014216"}, {"ref": "peaceduck/monet-cyclegan-mobilenetv2-fid-055b49", "kernel_id": "15649459"}, {"ref": "unfriendlyai/cyclegan-is-obsolete", "kernel_id": "15704873"}, {"ref": "larryziazo/gan-monet-painter-panagiotis-pix2pix", "kernel_id": "15086318"}, {"ref": "jerinm/cyclegan-cv-model-monet-style-images", "kernel_id": "15590175"}, {"ref": "alllancheung/mlproject1", "kernel_id": "15684594"}, {"ref": "tareqalg/cyclegan-photo-to-monet-style", "kernel_id": "15233797"}, {"ref": "clararus/mlip35-data-augmentation-370055", "kernel_id": "15348332"}, {"ref": "clararus/mlip35-final-code", "kernel_id": "15561588"}, {"ref": "daphnesmits1/monet-cyclegan-tutorial-489942", "kernel_id": "15609801"}, {"ref": "rojinzandi/monet", "kernel_id": "15686868"}, {"ref": "padmanabhabanerjee/art-forger-and-detective", "kernel_id": "15270549"}, {"ref": "brunojerkovi/monet-cyclegan-tutorial-994d48", "kernel_id": "15562713"}, {"ref": "sebastianponce/cyclegan-keras-implementation", "kernel_id": "15560828"}, {"ref": "ecruz009/cyclegan-monet", "kernel_id": "15545884"}, {"ref": "kirinavanderbijl/cut-with-anti-alias-and-validation-set-15-epochs", "kernel_id": "15434094"}, {"ref": "rezashokrzad/new-kernel", "kernel_id": "15476946"}, {"ref": "greynolan/cyclegan-monet", "kernel_id": "15523756"}, {"ref": "juliandelange/monet-style-lse1", "kernel_id": "15014882"}, {"ref": "juliandelange/monet-cyclegan-mobilenetv2-fid", "kernel_id": "15511201"}, {"ref": "ksnoeij/monet-cyclegan-tutorial-af626a", "kernel_id": "15535721"}, {"ref": "heleenkerstholt/monet-cyclegan-tutorial-mlip7-finalversion", "kernel_id": "15837225"}, {"ref": "thijmedevalk/mlip-21-final-version", "kernel_id": "15533997"}, {"ref": "olivierbrahma/improving-cyclegan-s-cycle-consistency-loss", "kernel_id": "15512083"}, {"ref": "jacobkutchi/imsomethingofapaintermyselfcompetition-jkutchi", "kernel_id": "15778238"}, {"ref": "diegoman/monet-cyclegan-tutorial", "kernel_id": "15427558"}, {"ref": "antoreepjana/artificial-monet-paintings-using-cyclegan", "kernel_id": "15025722"}, {"ref": "makotomorishita/cyclegan", "kernel_id": "15467127"}, {"ref": "stpeteishii/multiple-images-style-transfer-tf-hub", "kernel_id": "16983378"}, {"ref": "arham23/somethingofapaintersubmission", "kernel_id": "16115939"}, {"ref": "unfriendlyai/diffaugment-is-all-you-need", "kernel_id": "16788302"}, {"ref": "unfriendlyai/two-objective-discriminator", "kernel_id": "16786488"}, {"ref": "qintianlee/stargan", "kernel_id": "16162291"}, {"ref": "quentinvign/g-n-ration-de-tableaux-de-monet-cyclegan", "kernel_id": "16675381"}, {"ref": "dapy15/monet-using-gan", "kernel_id": "16984067"}, {"ref": "sandrinelux/photo2monet-cyclegan-with-data-augmentation", "kernel_id": "16133653"}, {"ref": "theblackmamba31/neural-style-transfer-photo-to-monet", "kernel_id": "16844622"}, {"ref": "kritanjalijain/monet-cyclegan", "kernel_id": "16612405"}, {"ref": "sunyulian/monet-cyclegan", "kernel_id": "16790756"}, {"ref": "youminglan/stargan", "kernel_id": "16576776"}, {"ref": "meldo8/cyclegan", "kernel_id": "16689295"}, {"ref": "bkroes/monet", "kernel_id": "16097583"}, {"ref": "harmonialeoleo/cyclegan-chinese-notes", "kernel_id": "16984983"}, {"ref": "tanreinama/neural-algorithm-of-artistic-style", "kernel_id": "17457034"}, {"ref": "joemonv97/joemon-monet-cyclegan", "kernel_id": "17065664"}, {"ref": "victarry/cyclegan-with-pytorch-lightning", "kernel_id": "17788595"}, {"ref": "motzik88/monet-last-version", "kernel_id": "17901867"}, {"ref": "motzik88/monet-final-25-7", "kernel_id": "17743640"}, {"ref": "rawanmajedlazkani/monet-cyclegan-tutorial", "kernel_id": "17698150"}, {"ref": "parthsethi03/deep-learning-resp", "kernel_id": "17140714"}, {"ref": "songseungwon/cyclegan-tutorial-from-scratch-monet-to-photo", "kernel_id": "17775452"}, {"ref": "louistom/style-transfer-cyclegan-apr", "kernel_id": "17331103"}, {"ref": "eyalcohenx/notebook09dacef43a", "kernel_id": "17787959"}, {"ref": "eyalcohenx/dlcyclegan", "kernel_id": "17664654"}, {"ref": "krishnamore/simple-cyclic-gan", "kernel_id": "17791153"}, {"ref": "upamanyumukherjee/cyclegan", "kernel_id": "17188024"}, {"ref": "geraldinelee/i-m-something-of-a-painter-myself-project", "kernel_id": "17774750"}, {"ref": "maxjoas/monet-cyclegan-tutorial", "kernel_id": "17852062"}, {"ref": "shiratorizawa/photos-to-monet-paintings-using-cyclegan", "kernel_id": "17424649"}, {"ref": "charlesmazzei/miserable-failure-of-a-stylegan-model", "kernel_id": "17036451"}, {"ref": "samibenhsan/sbh-advanced-cycle-gan-implementation-and-tricks", "kernel_id": "17462564"}, {"ref": "calendarguo/notebookmonet", "kernel_id": "17649266"}, {"ref": "masamichitoyama/cyclegan", "kernel_id": "17875078"}, {"ref": "itolgaozturk/notebookefc8351578", "kernel_id": "17381908"}, {"ref": "gadididi/monet-to-photo-g-n", "kernel_id": "17915227"}, {"ref": "dorindomin/dlchallenge", "kernel_id": "17851591"}, {"ref": "tikutiku/monet-cyclegan-starter-pytorch-xla", "kernel_id": "18080126"}, {"ref": "kad99kev/monet-cyclegan-with-wandb", "kernel_id": "18000058"}, {"ref": "lappzvi/cyclegan-30-biu", "kernel_id": "18142923"}, {"ref": "nasa203/notebook61b141d326", "kernel_id": "18348128"}, {"ref": "vijayshankar756/cycle-gan", "kernel_id": "18941891"}, {"ref": "amritanshupandey/i-m-something-of-a-painter-myself", "kernel_id": "18010553"}, {"ref": "daviddirethucus/painting-cycle-gan-pytorch", "kernel_id": "18420668"}, {"ref": "kusunosetomoki/convert-to-painting-with-cyclegan", "kernel_id": "18037589"}, {"ref": "matangrossman/notebook380e371acf", "kernel_id": "18269861"}, {"ref": "roiperetz/monet-cyclegan-inference", "kernel_id": "18740946"}, {"ref": "roiperetz/get-datasets-gcs-path", "kernel_id": "18675311"}, {"ref": "tamurayuma/nonycle", "kernel_id": "18036448"}, {"ref": "danieljudy/datascience4", "kernel_id": "18869147"}, {"ref": "danieljudy/data-science4", "kernel_id": "18462026"}, {"ref": "dorgamliel/final-code-backup-dee", "kernel_id": "18015060"}, {"ref": "khr9016/monet-cyclegan-tutorial", "kernel_id": "18469909"}, {"ref": "imadaatsuki/i-m-something-of-a-painter-myself", "kernel_id": "18130753"}, {"ref": "hiranokoki/monet-monet", "kernel_id": "18075852"}, {"ref": "cemrdp21/notebook5a0d31c924", "kernel_id": "18745862"}, {"ref": "hallelcohen/arbelteamnotebook", "kernel_id": "18744827"}, {"ref": "yoshidaryuichi/notebook1554f437ee", "kernel_id": "18567717"}, {"ref": "giladtamar/monettrain", "kernel_id": "18557394"}, {"ref": "tomerrabinovich/tomonet", "kernel_id": "18556719"}, {"ref": "danielleaharon/monet-cyclegan-tutorial", "kernel_id": "18598105"}, {"ref": "danielleaharon/monet-cyclegan", "kernel_id": "18693141"}, {"ref": "danielleaharon/monet-cyclegan-better", "kernel_id": "18693434"}, {"ref": "zahizur/notebook35c31643ce", "kernel_id": "18812828"}, {"ref": "zahizur/final-notebook-for-running", "kernel_id": "18841310"}, {"ref": "zahizur/final-notebook", "kernel_id": "18831857"}, {"ref": "gravatt/monet-cyclegan-tutorial-plus-diffaugment", "kernel_id": "18934997"}, {"ref": "geclos/monet", "kernel_id": "19377790"}, {"ref": "anayad/single-image-style-transfer", "kernel_id": "19931978"}, {"ref": "aharon421/notebook4775dfe948", "kernel_id": "19420441"}, {"ref": "pmarathe98/notebook663b961827", "kernel_id": "19257547"}, {"ref": "stpeteishii/style-transfer-tensorflow-hub-sample", "kernel_id": "19078792"}, {"ref": "lappzvi/no-curriculum-cyclegan-30-biu", "kernel_id": "19391607"}, {"ref": "lonnieqin/fast-style-transfer", "kernel_id": "19615100"}, {"ref": "eyalcohenx/small-cyclegan-pytorch-e62942", "kernel_id": "19482256"}, {"ref": "adamgavriely/kaggle-inference-notebook-submission-dl-biu-2021", "kernel_id": "19581056"}, {"ref": "adamgavriely/inference", "kernel_id": "19561163"}, {"ref": "avichaigeldzahler/cyclegan-monet-inference", "kernel_id": "19377591"}, {"ref": "omerab/13-9-fid", "kernel_id": "19577052"}, {"ref": "nrup323/i-am-painter-myself", "kernel_id": "19261427"}, {"ref": "maayanwislizky/mymodel", "kernel_id": "19126761"}, {"ref": "santosh1974/monet-gan-1", "kernel_id": "19012705"}, {"ref": "lauralih/monet", "kernel_id": "19578982"}, {"ref": "aryeamsalem/inference", "kernel_id": "19370016"}, {"ref": "victorsullivan/i-m-something-of-a-painter-myself", "kernel_id": "19831953"}, {"ref": "emanuelnk/small-cyclegan-pytorch", "kernel_id": "19097654"}, {"ref": "avrahamfraind/notebook8499a2f2a2-a1532f", "kernel_id": "19473659"}, {"ref": "ricgan/model-py", "kernel_id": "19192569"}, {"ref": "butmanspainters/copy-submissions", "kernel_id": "19155678"}, {"ref": "ranbinyamini/base-300", "kernel_id": "19871950"}, {"ref": "ranbinyamini/smart-choose-30-plus-augmented-data", "kernel_id": "19962728"}, {"ref": "ranbinyamini/smart-choose-30", "kernel_id": "19960367"}, {"ref": "ranbinyamini/first-30", "kernel_id": "19955719"}, {"ref": "shivansh002/gentle-introduction-to-gan", "kernel_id": "19320816"}, {"ref": "robinsooooon/gan-past", "kernel_id": "19767080"}, {"ref": "lmyybh/pytorch-cyclegan", "kernel_id": "19743050"}, {"ref": "hsiangtingtai/notebookb522ae4592", "kernel_id": "19069255"}, {"ref": "giblets/notebook9852843742", "kernel_id": "20139923"}, {"ref": "mestkawy/start-with-gans", "kernel_id": "20458598"}, {"ref": "drobchak1988/resnet-cyclegan-tensorflow-2-gpu", "kernel_id": "20872495"}, {"ref": "drobchak1988/pix2pix-tpu", "kernel_id": "20592784"}, {"ref": "lonnieqin/cycle-gan", "kernel_id": "20285134"}, {"ref": "djrmarques/creating-monet-paintings-with-pytorch", "kernel_id": "20262627"}, {"ref": "thbalaji/day-15", "kernel_id": "20362995"}, {"ref": "shreshtas94/cycle-gan-monet", "kernel_id": "20417334"}, {"ref": "hanamagdymohamed/final-submission", "kernel_id": "20440083"}, {"ref": "natsukinateyamashita/shufflepair-cyclegan", "kernel_id": "20252386"}, {"ref": "parikshitsharma2001/two-objective-nb", "kernel_id": "20692422"}, {"ref": "ollibolli/monetifying-photos-with-wgan-in-pytorch", "kernel_id": "21465814"}, {"ref": "ollibolli/monetifying-photos-with-dcgan-in-pytorch", "kernel_id": "21403567"}, {"ref": "ollibolli/monetifying-photos-with-basic-gan-in-pytorch", "kernel_id": "21073644"}, {"ref": "stpeteishii/style-transfer-pytorch-sample", "kernel_id": "21713186"}, {"ref": "stpeteishii/style-transfer-keras-sample", "kernel_id": "21717664"}, {"ref": "stpeteishii/style-transfer-tensorflow-sample", "kernel_id": "21725890"}, {"ref": "ohseokkim/transfering-style", "kernel_id": "21098229"}, {"ref": "yasinnaal/monet-art-creation-gans-algorithm", "kernel_id": "21203839"}, {"ref": "antoninabugayova/generate-monet-style-images", "kernel_id": "21686347"}, {"ref": "antoninabugayova/monet-cyclegan", "kernel_id": "21820655"}, {"ref": "sergeyshevelev/gan-monet", "kernel_id": "21847390"}, {"ref": "rohitsaichowdary/notebookc0030bb665", "kernel_id": "21992031"}, {"ref": "ishana798/painter-584", "kernel_id": "22044854"}, {"ref": "okcho9807/cyclegan-unet-with-decaying-lr-reflection-pad", "kernel_id": "22303020"}, {"ref": "okcho9807/cyclegan-jy-zhu-et-al-2020", "kernel_id": "22554324"}, {"ref": "minfa1207/cyclegan-pytorch-training", "kernel_id": "22921317"}, {"ref": "saraswatitiwari/i-m-something-of-a-painter-myself", "kernel_id": "22578798"}, {"ref": "davidmasek/mvi-checkpoint-photo-to-drawing-style-transfer", "kernel_id": "22336851"}, {"ref": "davidmasek/public-photo-to-drawing-style-transfer", "kernel_id": "22913226"}, {"ref": "althealuo/monet-cyclegan-tutorial", "kernel_id": "22665555"}, {"ref": "althealuo/cyclegan-jy-zhu-et-al-2020", "kernel_id": "22663656"}, {"ref": "cmule90/cyclegan-inference", "kernel_id": "22367172"}, {"ref": "cmule90/cyclegan-baseline", "kernel_id": "22266736"}, {"ref": "jybeack/monet-cyclegan-augmentation", "kernel_id": "22321348"}, {"ref": "antoinegruson/quick-tuto-wikiart-dataset", "kernel_id": "22214749"}, {"ref": "rahulkadam0909/image-generation-tutorial", "kernel_id": "22428895"}, {"ref": "yousseftaoudi/cyclegan-monet-ization-of-photographs", "kernel_id": "22187625"}, {"ref": "xholisilemantshongo/cycle-gan", "kernel_id": "22056535"}, {"ref": "samuelmeisner/imagegen2", "kernel_id": "22124541"}, {"ref": "anunay66/notee", "kernel_id": "22213599"}, {"ref": "hisaamhashim/monet2photo-cycle2gan-on-tpu-validation-test", "kernel_id": "22447437"}, {"ref": "hisaamhashim/monet2photo-cycle2gan-on-tpu-v2", "kernel_id": "22460967"}, {"ref": "hisaamhashim/monet2photo-cycle2gan-on-tpu-plots", "kernel_id": "22468465"}, {"ref": "mohammadsalehnaderi/monet-in-persian-description", "kernel_id": "22967943"}, {"ref": "nanditab35/painter-cyclegan-torch-updated", "kernel_id": "23560796"}, {"ref": "netstalker1337/pytorch-cyclegan", "kernel_id": "23856446"}, {"ref": "saraswatitiwari/i-m-a-painter", "kernel_id": "23131577"}, {"ref": "thejosephgoodman/baseline-gan", "kernel_id": "23570253"}, {"ref": "vivekcodes/i-m-something-of-a-painter-myself", "kernel_id": "23707931"}, {"ref": "ninamaamary/dcgan-pytorch-art", "kernel_id": "23678321"}, {"ref": "khaoulabenali/final-submission", "kernel_id": "23623168"}, {"ref": "robinhylands/monet-cyclegan-my-copy", "kernel_id": "23710592"}, {"ref": "alyonairinina/i-m-myself", "kernel_id": "23661554"}, {"ref": "evgenypotapov/monet", "kernel_id": "23935415"}, {"ref": "evgenypotapov/dhjrtxm", "kernel_id": "23952611"}, {"ref": "maryragozina/notebook", "kernel_id": "23947258"}, {"ref": "maryragozina/my-monet", "kernel_id": "23923951"}, {"ref": "maryragozina/baseline-gan", "kernel_id": "23920783"}, {"ref": "maryragozina/monet-cyclegan-tutorial", "kernel_id": "23926279"}, {"ref": "joshhuttandio/my-monet", "kernel_id": "23778786"}, {"ref": "rborder/monet-gan", "kernel_id": "24002414"}, {"ref": "kuruhuru/cyclegan-resnet-patchgan", "kernel_id": "24872709"}, {"ref": "kunalgaur/painter2", "kernel_id": "24340307"}, {"ref": "kunalgaur/painter1", "kernel_id": "24301599"}, {"ref": "nersesaghababyan/gan-a1", "kernel_id": "24737151"}, {"ref": "minguer/monet-cyclegan", "kernel_id": "24365866"}, {"ref": "isakcodes/monet-cyclegan-tutorial", "kernel_id": "24928586"}, {"ref": "mostafabenmahmoud/wcgan-monet", "kernel_id": "24491538"}, {"ref": "vladislavmelnichuk/o6-2-cyclegan-pytorch-tinkoff-dl", "kernel_id": "24373367"}, {"ref": "saidzellagui/sdzlg-gan-monet", "kernel_id": "24540549"}, {"ref": "gerhardworch/cycle-gan-tensorflow-1", "kernel_id": "24191260"}, {"ref": "estrelia/painter", "kernel_id": "24982964"}, {"ref": "davidalf/cycle-gan-bceloss", "kernel_id": "24556805"}, {"ref": "davidalf/cycle-gan-pytorch", "kernel_id": "24509990"}, {"ref": "noriko3/public-score-35-10897-i-m-something-of-a-painter", "kernel_id": "24516657"}, {"ref": "shoaib16940/cyclegan-pytorch", "kernel_id": "25470108"}, {"ref": "biene94/monet-cyclegan", "kernel_id": "25620689"}, {"ref": "anand8krishna/notebook1-monet-gan", "kernel_id": "25956470"}, {"ref": "andreiarnautu/i-m-something-of-a-painter-myself", "kernel_id": "25415771"}, {"ref": "jeff86/p8-i-m-something-of-a-painter", "kernel_id": "25726218"}, {"ref": "heiner00/monet-cyclegan-tutorial", "kernel_id": "25547539"}, {"ref": "vitkishloh228/notebook0bba9e7e26", "kernel_id": "25981569"}, {"ref": "datawant/cyclegan-eda", "kernel_id": "25911982"}, {"ref": "zel1k7/cyclegan", "kernel_id": "25380826"}, {"ref": "rex3d6/cyclegan-pytorch", "kernel_id": "25703659"}, {"ref": "andrewmassart/monet-cyclegan", "kernel_id": "25213755"}, {"ref": "andrewmassart/monet-cyclegan-revision", "kernel_id": "25417682"}, {"ref": "teayanghan/monet-cyclegan-tutorial2", "kernel_id": "25457569"}, {"ref": "yanirbuznah/dcgan-unet-monet", "kernel_id": "25528668"}, {"ref": "oritfine/simple-auto-encoder", "kernel_id": "25342465"}, {"ref": "rutvithakkar/cyclegan-pytorch", "kernel_id": "25392992"}, {"ref": "crazymage/hw6-notebook", "kernel_id": "26956395"}, {"ref": "tarocat/first-try", "kernel_id": "26206030"}, {"ref": "sergeyzelenovskiy/cyclegan", "kernel_id": "26687481"}, {"ref": "ninamaamary/cyclegan-pytorch-art", "kernel_id": "26872644"}, {"ref": "vitkishloh228/notebook44d23e574e", "kernel_id": "26279577"}, {"ref": "vitkishloh228/solution-cyclegan", "kernel_id": "26713501"}, {"ref": "yipyipzou/notebook8426eb9b23", "kernel_id": "26817676"}, {"ref": "woodkeeper/monet-pytorch", "kernel_id": "26604291"}, {"ref": "romanderunets/basic-gan-for-monet-competition", "kernel_id": "26232596"}, {"ref": "sriyamv/cyclegan-tutorial", "kernel_id": "26162900"}, {"ref": "mackant/cyclegan-generating-unique-art", "kernel_id": "26826564"}, {"ref": "dapin1490/gan-painter-why-isn-t-it-working", "kernel_id": "26790833"}, {"ref": "sadiezhao/cs152-project-we-are-all-monet", "kernel_id": "26344405"}, {"ref": "yuqingma1998/monet-cyclegan-not-addfirst", "kernel_id": "26300826"}, {"ref": "yuqingma1998/monet-cyclegan-original", "kernel_id": "26299999"}, {"ref": "yuqingma1998/monetcyclegan-not-adding-first", "kernel_id": "26300504"}, {"ref": "monemzibali/cyclegan-monet", "kernel_id": "26322339"}, {"ref": "mfalkowska/monet-cyclegan", "kernel_id": "26387629"}, {"ref": "lero233/cyclegan", "kernel_id": "26763679"}, {"ref": "goprogram/monet-challenge", "kernel_id": "26870472"}, {"ref": "arminshayestehzadeh/gan-getting-started-pytorch", "kernel_id": "26985273"}, {"ref": "assazas/different-approaches-to-style-transfer", "kernel_id": "27095171"}, {"ref": "defcodeking/claude-cyclegan-monet-artificial-artist", "kernel_id": "27913145"}, {"ref": "lujingxia9284/cyclegan-monet", "kernel_id": "27611832"}, {"ref": "fedorovvlad/homework6", "kernel_id": "27058129"}, {"ref": "aliismail96/monet-dcgan", "kernel_id": "27756304"}, {"ref": "belalmagdi/ics-635-project", "kernel_id": "27001203"}, {"ref": "rahulgolder/pytorch-implementation-of-cyclegan-architecture", "kernel_id": "27704046"}, {"ref": "romanderunets/cyclegan-monet", "kernel_id": "27155777"}, {"ref": "artyomivanov/monet-cyclegan", "kernel_id": "27997185"}, {"ref": "edz123/monet-cyclegan", "kernel_id": "27080936"}, {"ref": "kristopalka/trying-to-understand-cyclegan", "kernel_id": "27869964"}, {"ref": "eunpyunglee/fork-of-monet-lee", "kernel_id": "27896488"}, {"ref": "yannminhkhoahuynh/cyclegan", "kernel_id": "27435429"}, {"ref": "vaesong/homework2", "kernel_id": "27449531"}, {"ref": "tell1124/monet-ver1", "kernel_id": "27946913"}, {"ref": "tauilabdelilah/implementation-cyclegan", "kernel_id": "28188560"}, {"ref": "saotome/use-mmgeneration", "kernel_id": "28981969"}, {"ref": "anubhavde/monet-cyclegan", "kernel_id": "28900842"}, {"ref": "taufiqtusar/image-segmentation-u-net", "kernel_id": "28984730"}, {"ref": "pgorphe/monetgan", "kernel_id": "28325131"}, {"ref": "wadjihbencheikh/gans-nature-image-generator", "kernel_id": "28933648"}, {"ref": "borisquintana/resnet-ganet", "kernel_id": "28516140"}, {"ref": "gauridargar/gan-using-transfer-learning", "kernel_id": "29255777"}, {"ref": "virajkadam/day-night-image-translations-using-cyclegan", "kernel_id": "29310346"}, {"ref": "amitisraeli/gan-competion", "kernel_id": "29134529"}, {"ref": "ganeshborkar31/monet", "kernel_id": "29883253"}, {"ref": "markkoltman/neural-transfer", "kernel_id": "29933844"}, {"ref": "yegorgrybenko/notebook973fc4b926", "kernel_id": "29972462"}, {"ref": "ch124uec/monet-paintings-u-net-cyclegan", "kernel_id": "30295011"}, {"ref": "mouradost/pytorch-baseline", "kernel_id": "30597968"}, {"ref": "div1996p/pytorch-learning", "kernel_id": "30324791"}, {"ref": "ruqiyas/gans-nature-image-generator", "kernel_id": "30683601"}, {"ref": "plasticglass/notebookd63511eed1", "kernel_id": "30657224"}, {"ref": "peakwhisky/monet-dcgan", "kernel_id": "30958396"}, {"ref": "ganeshborkar31/two-objective-discriminator", "kernel_id": "30857342"}, {"ref": "varunnagpalspyz/pix2pix-is-all-you-need", "kernel_id": "30636081"}, {"ref": "shivam2111/image-to-monnet-cycle-gan", "kernel_id": "30574632"}, {"ref": "duyminhle/pretrain-cyclegan-tutorial", "kernel_id": "30414562"}, {"ref": "ryantolsch7/monet-cyclegan-practice", "kernel_id": "30368675"}, {"ref": "invhnd/u-net-practice", "kernel_id": "30119816"}, {"ref": "sara77/art-generation-with-vgg19-nst", "kernel_id": "31876057"}, {"ref": "arti1117/i-m-something-of-a-painter-myself", "kernel_id": "31948807"}, {"ref": "bulbulbhati/cs-340", "kernel_id": "31071113"}, {"ref": "peakwhisky/cyclegan-monet", "kernel_id": "31482991"}, {"ref": "kuzinmaxim/ganmonet", "kernel_id": "31061779"}, {"ref": "larjeck/some-optimize-with-earlystop-and-totalloss", "kernel_id": "31792057"}, {"ref": "hoang2909/cyclegan-pytorch-training", "kernel_id": "32991359"}, {"ref": "shahbazbaig1/ai-home-assignment-cyclegan", "kernel_id": "32081282"}, {"ref": "manansharma1602/notebooke283ba1bc5", "kernel_id": "32310430"}, {"ref": "ahmeturunveren/startingwithgan", "kernel_id": "32177531"}, {"ref": "pinkred/cyclegan", "kernel_id": "32656126"}, {"ref": "pencilsketch/pencil-sketch-using-gan", "kernel_id": "32286018"}, {"ref": "mirceagosman/dcgan", "kernel_id": "32840079"}, {"ref": "hanguynththanh/cyclegan-pytorch-lightning", "kernel_id": "33344899"}, {"ref": "behroozsohrabi/cyclegan", "kernel_id": "33468495"}, {"ref": "nivedambadipudi/monet-gan", "kernel_id": "33578100"}, {"ref": "qwq1445/two-objective-discriminator-with-total-loss", "kernel_id": "33422025"}, {"ref": "vaibhavgupta05/mini-project-final-code", "kernel_id": "33934358"}, {"ref": "aneesh2002/chitrae2", "kernel_id": "33112786"}, {"ref": "smackia/m0net-cyclegan", "kernel_id": "33946004"}, {"ref": "pushkar007/image-recolorization-with-cgans-tutorial", "kernel_id": "33718132"}, {"ref": "pinkred/fork-of-cyclegan", "kernel_id": "33664029"}, {"ref": "huanguyen/transformation-cyclegan-monet-paintings", "kernel_id": "33131195"}, {"ref": "huanguyen/dcgan-based-cyclegan", "kernel_id": "33185466"}, {"ref": "winkyx/two-objective-discriminator-with-total-loss", "kernel_id": "33476490"}, {"ref": "nguyene/monet-cyclegan-tutorial", "kernel_id": "34596419"}, {"ref": "danielacordovaporta/cyclegan-upm", "kernel_id": "34036659"}, {"ref": "nickmilkin/msp-monet-notebook", "kernel_id": "34200090"}, {"ref": "yaheljacobs/monet-cyclegan-tutorial", "kernel_id": "34607268"}, {"ref": "itaysstorage/notebookaffcb41770", "kernel_id": "34941044"}, {"ref": "aviadshimoni/xyz-004", "kernel_id": "34966218"}, {"ref": "zahid0/gan-tensorflow", "kernel_id": "35167131"}, {"ref": "gamerlacika/monet-gan", "kernel_id": "35788034"}, {"ref": "unfriendlyai/cliptravelgan-gta-cityscapes", "kernel_id": "35438073"}, {"ref": "giladaharoni/cycle-gan-variant", "kernel_id": "35509782"}, {"ref": "mithun162001/pcl-2023", "kernel_id": "35886339"}, {"ref": "shriyutha/monet-painting-gan", "kernel_id": "35392242"}, {"ref": "vaibhavgupta05/monet-cyclegan-tutorial", "kernel_id": "35497549"}, {"ref": "daiman971/p8-gan-032023", "kernel_id": "35685564"}, {"ref": "itaimondshine/itai-notebook", "kernel_id": "35269335"}, {"ref": "airpods69/imightbeapaintermyself", "kernel_id": "35205038"}, {"ref": "gauravjshrivastava/first-submission-painter-competition", "kernel_id": "35370788"}, {"ref": "ashutoshardu/cycleganwithpretrainmodules", "kernel_id": "35361346"}, {"ref": "ashutoshardu/creating-monets", "kernel_id": "35067783"}, {"ref": "thuylinh225/generate-monet-images-using-dcgan", "kernel_id": "35264529"}, {"ref": "zhijiao/cyclegan-pytorch-training", "kernel_id": "35968889"}, {"ref": "chli3841/cyclegan-add-monet-flavor", "kernel_id": "35337486"}, {"ref": "justinsiow/paint-with-dcgan", "kernel_id": "35054845"}, {"ref": "yaheljacobs/dcgan", "kernel_id": "35550277"}, {"ref": "barshsh/xyz-002", "kernel_id": "35437345"}, {"ref": "jacisouth/vangogh-more-like-fake-gogh", "kernel_id": "35865969"}, {"ref": "nguyene/cezanne-predictions", "kernel_id": "36556594"}, {"ref": "nguyene/vangogh-predictions", "kernel_id": "36594232"}, {"ref": "nguyene/fid-calculation-for-monet-competition", "kernel_id": "36770506"}, {"ref": "nguyene/ukiyoe-training-weight-generation", "kernel_id": "36479570"}, {"ref": "nguyene/ukiyoe-predictions", "kernel_id": "36475353"}, {"ref": "nguyene/monet-predictions", "kernel_id": "36510334"}, {"ref": "niramay/gan-monet-paintings", "kernel_id": "36963247"}, {"ref": "george1aeillo/fid-calculation-for-cezanne", "kernel_id": "36565812"}, {"ref": "george1aeillo/fid-calculation-for-van-gogh", "kernel_id": "36606252"}, {"ref": "george1aeillo/monet-submission-1", "kernel_id": "36456664"}, {"ref": "george1aeillo/fid-calculation-for-ukiyoe", "kernel_id": "36516118"}, {"ref": "george1aeillo/fid-calculation-for-monet", "kernel_id": "36527928"}, {"ref": "george1aeillo/cezanne-training-weight-generation", "kernel_id": "36489034"}, {"ref": "george1aeillo/monet-cyclegan-tutorial-489942-6c6a32", "kernel_id": "36128748"}, {"ref": "morsason/xyz-009", "kernel_id": "36256563"}, {"ref": "yeongseoplee/cyclegan-lsgan-loss-resnet-by-pytorch-lightning", "kernel_id": "36351984"}, {"ref": "yasmeensharaan/styling-images-with-vgg19", "kernel_id": "36221815"}, {"ref": "chongzhenjie/photo-to-monet-cyclegan-pytorch-lightning", "kernel_id": "36254209"}, {"ref": "prmukesh/genrative-adveral-models", "kernel_id": "36199301"}, {"ref": "surbhisharma1/normid2023", "kernel_id": "36353640"}, {"ref": "itayhabani/monet2photo-michal-adi-version", "kernel_id": "36301386"}, {"ref": "itayhabani/monet2photo-ido-habani-version", "kernel_id": "36303522"}, {"ref": "bioxes/i-m-something-of-a-painter-myself", "kernel_id": "36354767"}, {"ref": "keithrek/gan-cyclegan-image-translation", "kernel_id": "36239169"}, {"ref": "butorinvasiliy/notebook-monet-gan-4", "kernel_id": "36593240"}, {"ref": "butorinvasiliy/notebook-monet-gan-1", "kernel_id": "36559888"}, {"ref": "shirlavi28/xyz-008", "kernel_id": "36295202"}, {"ref": "oriyash/xyz-025", "kernel_id": "36326595"}, {"ref": "diya108/cyclegan-shadow-hunters", "kernel_id": "36417585"}, {"ref": "jiazechao/cyclegan-with-comments-and-explanation-pytorch", "kernel_id": "36932948"}, {"ref": "jianwenzhao/monet-style", "kernel_id": "36965454"}, {"ref": "laxmikantnishad/cyclegan-to-generate-monet-style", "kernel_id": "37320092"}, {"ref": "ishikade/ly-project-cyclegan-pytorch-implementation", "kernel_id": "37164470"}, {"ref": "vaibhavgupta05/monet-cyclegan-tutorial-cf9048", "kernel_id": "37174949"}, {"ref": "clementdelteil/cyclegan-tpu-monet", "kernel_id": "37305619"}, {"ref": "clementdelteil/dcgan-architectures-on-monet-s-paintings", "kernel_id": "37015197"}, {"ref": "waleedgul/stylegan-monet", "kernel_id": "37953267"}, {"ref": "lichen1121/changing-image-style-with-cyclegan", "kernel_id": "37075658"}, {"ref": "nitishkumar754/day-night-image-translations-using-cyclegan", "kernel_id": "37855640"}, {"ref": "akashnaik08/day-night-image-translations-using-cyclegan", "kernel_id": "37837535"}, {"ref": "eiue6866/photo-to-monet", "kernel_id": "37565421"}, {"ref": "gummadibhavyasree/day-night-image-translations-using-cyclegan", "kernel_id": "37827275"}, {"ref": "wfan2022/monet-cyclegan", "kernel_id": "37704711"}, {"ref": "dustinober/painter-image-transfer", "kernel_id": "37269514"}, {"ref": "swarnenduml08/day-night-image-translations-using-cyclegan", "kernel_id": "37635793"}, {"ref": "wangsongt/cyclegan-with-comments-and-explanation-pytorch", "kernel_id": "37035154"}, {"ref": "cv12345/monet-cyclegan-tutorial", "kernel_id": "37822341"}, {"ref": "yichigao/ca3-homework", "kernel_id": "37215519"}, {"ref": "y3424aaaa312421/notebookc95a306d5d", "kernel_id": "37094029"}, {"ref": "zechao/cyclegan-with-comments-and-explanation-pytorch", "kernel_id": "37204902"}, {"ref": "zuboning/ca3-pytorch", "kernel_id": "37226162"}, {"ref": "madhurikvs/day-night-image-translations-using-cyclegan", "kernel_id": "37826519"}, {"ref": "athulb200430ch/monet-cyclegan-tutorial", "kernel_id": "37766393"}, {"ref": "bhaskarbose1998/a-naive-dcgan", "kernel_id": "38554064"}, {"ref": "podcastprereamea/cyclegan-monet-paintings", "kernel_id": "38066596"}, {"ref": "garrettdevereux/uw-deep-learning-monetganv1", "kernel_id": "38747029"}, {"ref": "habababa7/diffusion-gen", "kernel_id": "38305121"}, {"ref": "aryangarg01/cyclegan-lightning-w-b-a-general-framework", "kernel_id": "38286885"}, {"ref": "hidetaketakahashi/monet-styletransfer", "kernel_id": "39392245"}, {"ref": "deekshitadoli/notebooke0627ec9f2", "kernel_id": "39364731"}, {"ref": "rukaiyahasan/image-segmentation-u-net", "kernel_id": "39445137"}, {"ref": "podcastprereamea/image-to-prompt", "kernel_id": "39382926"}, {"ref": "gkhandemirba/gkkggle", "kernel_id": "39456619"}, {"ref": "gkhandemirba/proje", "kernel_id": "39985849"}, {"ref": "jonathansocoy/claude-cyclegan-monet", "kernel_id": "39158394"}, {"ref": "garrettdevereux/uw-dc-d2cyclegan", "kernel_id": "39249626"}, {"ref": "garrettdevereux/uw-deep-learning-diffaug-dc-cyclegan", "kernel_id": "39262684"}, {"ref": "shashwatsharma12304/ganetique-monet-s-ai-brushstrokes", "kernel_id": "39734985"}, {"ref": "eishkaran/cyclegan-implementation", "kernel_id": "39693164"}, {"ref": "aslhandemir/proje", "kernel_id": "39985911"}, {"ref": "botaoh1/monet-cyclegan-tutorial", "kernel_id": "39617071"}, {"ref": "idd1509cxt/data-aug-self-style-augment", "kernel_id": "39277990"}, {"ref": "hidetaketakahashi/monet-cyclegan-resnet", "kernel_id": "40819288"}, {"ref": "dominikkawalec/ci-project", "kernel_id": "40358953"}, {"ref": "krist0phersmith/bigan-from-scratch-with-keras", "kernel_id": "40131183"}, {"ref": "yilmazcan/monetidu", "kernel_id": "40022576"}, {"ref": "maulikjain26/cyclegan-implementation", "kernel_id": "40816417"}, {"ref": "vedant2003pandey/aipainter", "kernel_id": "40386475"}, {"ref": "faptimus420/monet-cyclegan-generator-wip", "kernel_id": "40257711"}, {"ref": "ashishjagdishsharma/i-m-something-of-a-painter-myself", "kernel_id": "40852568"}, {"ref": "aslhandemir/new-project", "kernel_id": "40015087"}, {"ref": "inas07/cyclegan", "kernel_id": "40232983"}, {"ref": "ysy211979/painter", "kernel_id": "40162823"}, {"ref": "prabhatverma18/cyclegan-resnet", "kernel_id": "40248715"}, {"ref": "kkamal2003/cyclegan-implementation", "kernel_id": "40727293"}, {"ref": "arshnoor7389/cycle-generative-adversarial-network-cyclegan", "kernel_id": "40736316"}, {"ref": "aeruvahana/notebook8c0ffd418e", "kernel_id": "40410998"}, {"ref": "aeruvahana/fork-of-notebookb05925ec55", "kernel_id": "40457283"}, {"ref": "conradkleykamp/using-gans-to-create-monet-style-art-cyclegan", "kernel_id": "41275035"}, {"ref": "five6667/cyclegan-getting-started-87e2f0", "kernel_id": "41960986"}, {"ref": "rui314/alpha-cyclegan", "kernel_id": "41510969"}, {"ref": "yashchavn/painter-neural-style-transfer", "kernel_id": "41218275"}, {"ref": "yasuomaidana/i-m-something-of-a-painter-myself-cyclegan", "kernel_id": "41144822"}, {"ref": "andreynesterov/monet-cyclegan-with-better-cycles", "kernel_id": "41717503"}, {"ref": "thorjensen/cyclegan-pytorch", "kernel_id": "41653087"}, {"ref": "invalizare/transformer-mnist", "kernel_id": "41130439"}, {"ref": "basten1209/cyclegan-code-review", "kernel_id": "41643494"}, {"ref": "dnth90/duplicates-and-near-duplicates", "kernel_id": "42310921"}, {"ref": "nisargbhatt/monet-who", "kernel_id": "42953309"}, {"ref": "robinlutter/painting-with-gans", "kernel_id": "42099928"}, {"ref": "anubhav012/cyclegan-monet", "kernel_id": "42349475"}, {"ref": "alinew/photo2monet-with-pix2pix", "kernel_id": "42073280"}, {"ref": "anandvijaykumar/cyclegan-monet-painter", "kernel_id": "42826827"}, {"ref": "serraus/project", "kernel_id": "42725618"}, {"ref": "serraus/notebook5a9730367f", "kernel_id": "42594807"}, {"ref": "navneetsajwan/latent-diffusion-for-monets-work-in-progress", "kernel_id": "43442753"}, {"ref": "navneetsajwan/stable-diffusion-for-monets-multi-gpu-training", "kernel_id": "43190607"}, {"ref": "unfriendlyai/cliptravelgan-monet-article-implementation", "kernel_id": "43209319"}, {"ref": "janszczekulski/pws-cyclegan", "kernel_id": "43691824"}, {"ref": "tarunvats18/cyclegan-monet", "kernel_id": "43992090"}, {"ref": "ferhatersoy/make-your-monet", "kernel_id": "43200284"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "philopateergeorgei/simple-intro-to-gan-building-your-own-custom-model", "kernel_id": "43787018"}, {"ref": "anuj787/notebook653f99241e", "kernel_id": "43048342"}, {"ref": "bhushanrshrirame/introduction-to-cyclegan-monet-paintings", "kernel_id": "43946871"}, {"ref": "bhushanrshrirame/night-to-day-image-translatoions", "kernel_id": "43946881"}, {"ref": "enzou3/simple-gans-in-monets-paintings", "kernel_id": "43957531"}, {"ref": "gabrielfranca/gan-getting-started", "kernel_id": "44680293"}, {"ref": "faig22/cyclegan-pytorch", "kernel_id": "44002833"}, {"ref": "marvy00/cyclegan-apples-to-oranges-lab-work-04-10-2023", "kernel_id": "44003619"}, {"ref": "cuongnx2k1/cyclegan-monet-to-photo", "kernel_id": "44122447"}, {"ref": "edanurkula/notebookf33413477d", "kernel_id": "44245771"}, {"ref": "rahulreddyvemparala/getting-started-monet-cyclegan-tutorial", "kernel_id": "44716486"}, {"ref": "klaidenx/cyclegan-paint", "kernel_id": "45412521"}, {"ref": "prasadadhiyaman/notebook7e60210ed5", "kernel_id": "45653729"}, {"ref": "vladislavudalov/my-first-gan", "kernel_id": "45361581"}, {"ref": "episode88/notebook318850e4a8", "kernel_id": "45054484"}, {"ref": "evrendurmus/my-first-gan-dcgan-with-mnist", "kernel_id": "45023983"}, {"ref": "kuoskyler/cyclegan-implementation", "kernel_id": "45279421"}, {"ref": "vinitkp/generate-paintings-by-image-style-transfer", "kernel_id": "46438705"}, {"ref": "adikaboost/cyclegan-resnet-pytorch", "kernel_id": "46318052"}, {"ref": "abhranil123/adaptable-deep-learning-model-for-artistic-style-t", "kernel_id": "46374315"}, {"ref": "juanfernando1234/proyecto-deep-learning", "kernel_id": "46645857"}, {"ref": "mohamedezz2002/image-notebook", "kernel_id": "46369688"}, {"ref": "wzyanne/monet-v5-d-g-esa", "kernel_id": "46616628"}, {"ref": "annewanghbto/monet-cyclegan-tutorial-ori", "kernel_id": "46684550"}, {"ref": "daisy1020/cyclegan-monet", "kernel_id": "47366425"}, {"ref": "arcotgautham/msds-gan-pro", "kernel_id": "47897205"}, {"ref": "fidanvural/monet-like-images-with-cyclegan", "kernel_id": "47896004"}, {"ref": "mostafamohamad/cyclegan-using-pytorch", "kernel_id": "47162690"}, {"ref": "ankurkumarshukla/cyclegan-from-scratch", "kernel_id": "47816028"}, {"ref": "fatimatuzzohra/cyclegan-implementation-867b71", "kernel_id": "47804766"}, {"ref": "sumit46656/monet-gan", "kernel_id": "47550762"}, {"ref": "ayeshasiddiqa2/cyclegan-implementation-867b71-111412", "kernel_id": "47816348"}, {"ref": "ayeshasiddiqa2/cyclegan-implementation-867b71", "kernel_id": "47756410"}, {"ref": "avd1729/dcgan", "kernel_id": "47510598"}, {"ref": "onff37/ccgan", "kernel_id": "47043727"}, {"ref": "robertlowens/bob-cyclegan-pytorch", "kernel_id": "47203163"}, {"ref": "nabaanaguibmostafa/monet-style-appplying", "kernel_id": "47090258"}, {"ref": "anthonytherrien/artistic-ai-style-transfer", "kernel_id": "47910937"}, {"ref": "georgemgannon/cs523-group25-10-11", "kernel_id": "47216429"}, {"ref": "erdemcaliskan/monet-cyclegan-tutorial", "kernel_id": "47066337"}, {"ref": "kanzarizwan/cyclegan-implementation-867b71", "kernel_id": "47812849"}, {"ref": "kanzarizwan/cyclegan-implementation-867b71-111412", "kernel_id": "47816057"}, {"ref": "saswattulo/monet-cyclegan-tutorial", "kernel_id": "48828966"}, {"ref": "arwenc/monet-cyclegan-dataenrichment", "kernel_id": "48718325"}, {"ref": "xiegeo/use-github-com-taesungp-contrastive-unpaired-trans", "kernel_id": "48762279"}, {"ref": "eriklager/something-of-a-painter-myself", "kernel_id": "49752177"}, {"ref": "hardik201003/cyclegan-i-m-something-of-a-painter-myself", "kernel_id": "49773580"}, {"ref": "iosifcovasan/photo-to-monet-using-cyclegan", "kernel_id": "49401050"}, {"ref": "stevenhobbs74/hobbs-monet-cyclegan", "kernel_id": "50528827"}, {"ref": "aliahmadi76/fork-of-simple-gans-in-monets-paintings", "kernel_id": "50232480"}, {"ref": "aaryanduggal/fork-of-paintermyself", "kernel_id": "50811388"}, {"ref": "chiuchiyin/cyclegan", "kernel_id": "50584339"}, {"ref": "pavansingu/cyclegan-monet-style-my-photo", "kernel_id": "50373889"}, {"ref": "krishuppal/paintermyself", "kernel_id": "50524050"}, {"ref": "cheshtbiala/paint-i-m-something-of-a-painter-myself-images-zip", "kernel_id": "50115165"}, {"ref": "tarndeepsingh16/i-m-something-of-a-painter-myself", "kernel_id": "50779720"}, {"ref": "jieshends2020/gan-painting-part-1", "kernel_id": "51793386"}, {"ref": "lexusbedra/cyclegan-monet", "kernel_id": "51097236"}, {"ref": "avikal30/i-m-something-of-a-painter-myself-121cfc", "kernel_id": "51078964"}, {"ref": "jieshends2020/gan-painting-part-2", "kernel_id": "52382949"}, {"ref": "juanmarino/monet-project", "kernel_id": "52716484"}, {"ref": "yunsuxiaozi/first-submission-by-master-painter", "kernel_id": "52031114"}, {"ref": "abc017/aviran", "kernel_id": "52997326"}, {"ref": "omariovic/anime-faces-with-variarional-autoencoder", "kernel_id": "52958550"}, {"ref": "jags816/cyclegan-monet-style-generator", "kernel_id": "52279652"}, {"ref": "nancycui0721/monet-cyclegan-tutorial", "kernel_id": "52085585"}, {"ref": "chenshiri/monetcyclegan", "kernel_id": "52953662"}, {"ref": "xunmeiliu/monet-cyclegan-tutorial-4da544", "kernel_id": "52280268"}, {"ref": "yanivadibar/cyclegan-photo-to-monet-2", "kernel_id": "53245611"}, {"ref": "vayanshgarg/image-to-monet-cyclegan-unet", "kernel_id": "53650274"}, {"ref": "hasanmustafa05/introduction-to-cyclegan-monet-paintings", "kernel_id": "53712394"}, {"ref": "keyurvaitha/ipd-project", "kernel_id": "53098717"}, {"ref": "satyabratkumar/cycle-gan-monet-implentation", "kernel_id": "53434581"}, {"ref": "omariovic/generating-landscapes-variational-autoencoder", "kernel_id": "53247093"}, {"ref": "mevinabraham/cyclegan-pytorch", "kernel_id": "53372585"}, {"ref": "mevinabraham/improving-cyclegan-monet-paintings-ebb37e", "kernel_id": "53320529"}, {"ref": "eternoseeker/styletransfergan-ie2-dl", "kernel_id": "53929632"}, {"ref": "omermaoz/notebook407ae00600", "kernel_id": "53157779"}, {"ref": "liadraz3/monet-cyclegan", "kernel_id": "53027692"}, {"ref": "aaronfriasr/cyclegan-intro-monet-gans", "kernel_id": "53823617"}, {"ref": "colnirose/col-ni-ro-ya-se", "kernel_id": "53157542"}, {"ref": "megdalia/two-objective-discriminator-copy", "kernel_id": "53074057"}, {"ref": "suyashjain4/cyclegan-monet-ization-of-photographs", "kernel_id": "54968942"}, {"ref": "sharathprasaath69/improving-cyclegan-monet-paintings", "kernel_id": "54606955"}, {"ref": "dingyiwang/gan-painting", "kernel_id": "54981903"}, {"ref": "shawncallistus9796/monet", "kernel_id": "54251768"}, {"ref": "shadesh/i-m-something-of-a-painter-myself-v2", "kernel_id": "54064453"}, {"ref": "br0grammer/minipicasso", "kernel_id": "54756725"}, {"ref": "samanvaysiddharth/i-msomewhatofapaintermyself101", "kernel_id": "54726097"}, {"ref": "dikshant1312/daynightcyclegan", "kernel_id": "55297961"}, {"ref": "albertdulian/cyclegan-starter-pytorch", "kernel_id": "55157540"}, {"ref": "jamessuryaputra/the-spy-who-splotched-me", "kernel_id": "55796515"}, {"ref": "blkcunningham/monet-project3", "kernel_id": "55044398"}, {"ref": "natalies021605/second-model", "kernel_id": "55383960"}, {"ref": "xyznihal/painter-myself-using-clahe-algorithm", "kernel_id": "56519974"}, {"ref": "l112ku/draw-by-gan", "kernel_id": "56395079"}, {"ref": "talteri/col-tachiliye-cycle-gan-monet-code", "kernel_id": "56104583"}, {"ref": "manueldlabra/cycle-gan-visually-explained", "kernel_id": "57284990"}, {"ref": "enriquecompanioni/style-transfer-with-pytorch", "kernel_id": "57035705"}, {"ref": "albertdulian/monet-image-explorer", "kernel_id": "57370056"}, {"ref": "exuan102345/cyclegan", "kernel_id": "58830062"}, {"ref": "youssefghaoui/great-starter-cyclegan-doublearchitgenerator", "kernel_id": "58605591"}, {"ref": "nguynhongmnh/cyclegan", "kernel_id": "58468516"}, {"ref": "maazinzaidi4/ml-a3-cyclegan-2", "kernel_id": "58735953"}, {"ref": "maazinzaidi4/ml-a3-cyclegan", "kernel_id": "58725060"}, {"ref": "sqdfwfw/monet", "kernel_id": "58875918"}, {"ref": "masabnasim/ml-assignment3", "kernel_id": "58735071"}, {"ref": "anhhdaoo/monet-cyclegan-tutorial", "kernel_id": "58894485"}, {"ref": "doancharlie/monet-cyclegan-tutorial", "kernel_id": "58894859"}, {"ref": "siddhesh1990/monet-style-transfer", "kernel_id": "59122258"}, {"ref": "karpylya/cyclegan-implementation-0647a4", "kernel_id": "59324140"}, {"ref": "nhtltun/notebookd136af503c", "kernel_id": "59497218"}, {"ref": "denizdemiroglu/monet-cyclegan", "kernel_id": "59884745"}, {"ref": "shravankumar147/03-monetgen-cyclegan-train-eval", "kernel_id": "60641318"}, {"ref": "shravankumar147/02-monetgen-data-exploration", "kernel_id": "60597529"}, {"ref": "shravankumar147/01-baseline-generating-monet-style-images", "kernel_id": "60596680"}, {"ref": "shravankumar147/04-monetgen-inference", "kernel_id": "60692214"}, {"ref": "mrjustpeachy/gan-implementation", "kernel_id": "60834877"}, {"ref": "tahmidmir/this-cyclegan-is-somwhat-of-a-painter-itself", "kernel_id": "60755832"}, {"ref": "meenalsaini/notebook5301553cb0", "kernel_id": "60639691"}, {"ref": "paradoxplusparadise/cyclegan", "kernel_id": "60417556"}, {"ref": "chuyangzhang/cyclegan-monet-hyperparameter-tuning", "kernel_id": "61751708"}, {"ref": "andreisd1233/notebook5a65e1a918", "kernel_id": "61837882"}, {"ref": "ikshwakgannoju/monet-paintings", "kernel_id": "61594472"}, {"ref": "chuyangzhang/i-m-something-of-a-painter-myself-cyclegan", "kernel_id": "62334140"}, {"ref": "lenhat1512/transfering-style-20bdbd", "kernel_id": "62342041"}, {"ref": "evanparra/monet-style-transfer-with-cyclegan", "kernel_id": "62317113"}, {"ref": "caseydurfee/you-never-give-me-your-monet", "kernel_id": "63109734"}, {"ref": "shaunyoon/gan-monet", "kernel_id": "63291464"}, {"ref": "lenhat1512/notebook73217d4c3c", "kernel_id": "63469749"}, {"ref": "khoagaru/gans-model", "kernel_id": "63287117"}, {"ref": "pragatobhattacharjee/a-really-bad-painter", "kernel_id": "63346662"}, {"ref": "drllamahacer/monetgan-turbo", "kernel_id": "63148522"}, {"ref": "ksmooi/monet-photo-image-translation-gan", "kernel_id": "63160371"}, {"ref": "janghoonhwang/cyclegan-pytorch", "kernel_id": "64174064"}, {"ref": "twinkle24jan97/cyclegan-pytorch-style-transfer", "kernel_id": "64559687"}, {"ref": "kyleakepanidtaworn/dtsa5511-gans-monet-painting", "kernel_id": "64393818"}, {"ref": "manintangkunathan/i-m-something-of-a-painter-myself", "kernel_id": "64167298"}, {"ref": "dazhengzhu/monet-imagen", "kernel_id": "64992893"}, {"ref": "guzefeng/cyclegan", "kernel_id": "64770837"}, {"ref": "elthran/gan-monet-converter-final", "kernel_id": "65821218"}, {"ref": "pavelkopka/i-m-something-of-a-painter-myself", "kernel_id": "65888693"}, {"ref": "amjuks/photo-gan", "kernel_id": "65327817"}, {"ref": "pelinkeskin/arbitrary-image-stylization-experiment", "kernel_id": "65218143"}, {"ref": "josephleakakos/mo-monet-mo-problems", "kernel_id": "65419328"}, {"ref": "sahith1904/day-night-image-translations-using-cyclegan", "kernel_id": "65082918"}, {"ref": "latypovramil/monet-cyclegan-implementation-pytorch", "kernel_id": "65287519"}, {"ref": "sdeogade/i-m-something-of-a-painter-myself-cyclegans", "kernel_id": "65402607"}, {"ref": "anietop/gan-para-generar-cuadros-al-estilo-de-monet", "kernel_id": "65714344"}, {"ref": "grainier/generating-artwork-with-gans", "kernel_id": "66693175"}, {"ref": "aifahim/cyclegan-monet-to-photo", "kernel_id": "67883047"}, {"ref": "gabriellb/cyclegan-art-generation", "kernel_id": "67841329"}, {"ref": "saisameer2457/visual-style-transfer", "kernel_id": "67203322"}, {"ref": "imthebaron/something-of-a-painter", "kernel_id": "67002926"}, {"ref": "jqsivdata/monet-transfer-v1", "kernel_id": "67135156"}, {"ref": "seifali432/gan-monet", "kernel_id": "68441223"}, {"ref": "dinesh010201/cyclegan-pytorch-2", "kernel_id": "68689141"}, {"ref": "fedorkaltiugin/i-m-something-of-a-painter-myself", "kernel_id": "69823576"}, {"ref": "saivinayakula/cycle-gan", "kernel_id": "69498521"}, {"ref": "lendadeif/cycle-gan", "kernel_id": "69822881"}, {"ref": "mahmoudwahban/cycle-gan", "kernel_id": "69828497"}, {"ref": "mahmoudwahban/cyclegan-final-project-1", "kernel_id": "69961012"}, {"ref": "mahmoudwahban/cyclegan-final-project", "kernel_id": "69943113"}, {"ref": "jaroslavrutkovskij/painter", "kernel_id": "70465048"}, {"ref": "jaymehra27/accen-project-team-6", "kernel_id": "70274793"}, {"ref": "tritnguynhuynhminh/day-night-image-translations-using-cyclegan", "kernel_id": "70665624"}, {"ref": "zizzimars/monet-cyclegan-tutorial", "kernel_id": "70384012"}, {"ref": "priyonsh/monet-painting", "kernel_id": "70913658"}, {"ref": "muneezaiftikhar/cyclicgans-competition", "kernel_id": "70870707"}, {"ref": "manyagirdhar/p6-dcgan-custom", "kernel_id": "70010493"}, {"ref": "killbot04/monet-style-transfer", "kernel_id": "70941788"}, {"ref": "liyunz1108/notebookcdde824fc4", "kernel_id": "71496174"}, {"ref": "asma130/deeplearning-gans-project", "kernel_id": "71936446"}, {"ref": "darinapauk/generating-artwork-with-gans", "kernel_id": "71468424"}, {"ref": "selimhoo/cr-er-c-est-vivre-deux-fois", "kernel_id": "71133531"}, {"ref": "kundansinghmourya/gan-painter-notebook", "kernel_id": "71665048"}, {"ref": "kundansinghmourya/painter", "kernel_id": "71687927"}, {"ref": "emiraykin/lasttime", "kernel_id": "71754276"}, {"ref": "prathameshvaidya07/notebookc98618abb1", "kernel_id": "71707344"}, {"ref": "ilayeesade/gan-exercise-monet", "kernel_id": "71907502"}, {"ref": "trinhgiabao/notebook0a84deb261", "kernel_id": "71765131"}, {"ref": "asma130/dl-final-project-images-zip", "kernel_id": "72178529"}, {"ref": "abhinavsharma0706/painpho", "kernel_id": "72872136"}, {"ref": "abhinavsharma0706/paint-ver", "kernel_id": "72868390"}, {"ref": "hieupham154/cyclegan-implementation-vangogh", "kernel_id": "72583315"}, {"ref": "ndannnop/cyclegan-implementation", "kernel_id": "72580553"}, {"ref": "harshininaidu/cv-final-project", "kernel_id": "72816205"}, {"ref": "tiaranisibarani/12s22037-week15", "kernel_id": "72539283"}, {"ref": "meilynasahutajulu/notebooke51121240b", "kernel_id": "72576556"}, {"ref": "brandonmai/ukiyoe2photo-inference", "kernel_id": "72833495"}, {"ref": "bronsontmsiallagan/notebook6ae8e07c2f", "kernel_id": "72572645"}, {"ref": "adeyazekasiahaan/notebookapainter02", "kernel_id": "72560751"}, {"ref": "luongminhnhat7/painter-cyclegan", "kernel_id": "72068825"}, {"ref": "lovelyst115/kaggleai", "kernel_id": "72252196"}, {"ref": "buidinhkhoi/notebookfe67f29beb", "kernel_id": "72267145"}, {"ref": "tvtttv/cyclegan-implementation-cezanne", "kernel_id": "72736904"}, {"ref": "gaoqimian/ganv1", "kernel_id": "72435513"}, {"ref": "harshava05/cv-project-final-version", "kernel_id": "72677521"}, {"ref": "winfreynainggolan/12s22001-winfrey-nainggolan-gan1", "kernel_id": "72577482"}, {"ref": "tamarayunika/gannnn", "kernel_id": "72540679"}, {"ref": "samuelsitio/samuel-jarning-sitio", "kernel_id": "72663574"}, {"ref": "samuelsitio/samuel-gan-monet", "kernel_id": "72662836"}, {"ref": "mickaelsitompul/kaelkael", "kernel_id": "72576089"}, {"ref": "mulyadisiahaan/gan-12s22034", "kernel_id": "72595041"}, {"ref": "rosarisimanjuntak/12s22052-rosari-simanjuntak-gan", "kernel_id": "72448277"}, {"ref": "krisniacalysta/12s22021-krisnia-calysta-siahaan-gan", "kernel_id": "72564504"}, {"ref": "gracesiahaan/gan-12s22022", "kernel_id": "72534709"}, {"ref": "jufourlisasirait/notebook298cd26160", "kernel_id": "72539737"}, {"ref": "ernisarumaha/047-erni", "kernel_id": "72444393"}, {"ref": "irasilalahi/ira-wianda", "kernel_id": "72534632"}, {"ref": "agnesharefa/12s22049-gan", "kernel_id": "72814708"}, {"ref": "nikitasimanjuntak/12s22005", "kernel_id": "72534838"}, {"ref": "rahelsimanjuntak2909/gan-12s22008-rahel-uli-rotua-simanjuntak", "kernel_id": "72664068"}, {"ref": "yohanasiahaan/yohana-n-siahaan", "kernel_id": "72471088"}, {"ref": "difyaambarita06/difya", "kernel_id": "72477365"}, {"ref": "nt6790/monetkerasmonetkeras", "kernel_id": "72113752"}, {"ref": "yinrulong678/notebook20241208", "kernel_id": "72483043"}, {"ref": "rajithravikumargwu/fork-of-introduction-to-cyclegan-monet-paintings", "kernel_id": "72535202"}, {"ref": "lionytamaralewinsk/12s22019", "kernel_id": "72510079"}, {"ref": "juantutrifor/ukiyoe2photo-80f0e1", "kernel_id": "72794215"}, {"ref": "ellisrovin/ukiyoe2photo-official", "kernel_id": "72842561"}, {"ref": "khongcaycunha/cyclegan-implementation", "kernel_id": "72920706"}, {"ref": "mohammedzamzamy/cyclegan-image-to-image-translation", "kernel_id": "73667803"}, {"ref": "stealthknight/monet-cyclegan-tutorial", "kernel_id": "73585131"}, {"ref": "wilsonsihombing/notebook27774b28db", "kernel_id": "73322639"}, {"ref": "hejuncheung/cv-painter-simple-gan", "kernel_id": "73678485"}, {"ref": "katrina14/notebook4563b1646c", "kernel_id": "73163771"}, {"ref": "jeremysamosir/12s22029-jeremy-samosir-gan", "kernel_id": "73353578"}, {"ref": "dolokbutarbutar/12s22009-dolok-butarbutar-gan", "kernel_id": "73199376"}, {"ref": "bryanevanssss/12s22030-bryanevanssimamora", "kernel_id": "73350707"}, {"ref": "indahelisasihombing/12s22041-indah-gan", "kernel_id": "73370340"}, {"ref": "keziahutagaol/12s22014-keziaaa-gan", "kernel_id": "73364149"}, {"ref": "angelinanadeak/12s22015-angelinanadeak-certan", "kernel_id": "73351514"}, {"ref": "cintyasitorus/12s22045-cintya-siitorus", "kernel_id": "73367269"}, {"ref": "graciapurba/gan-12s22040", "kernel_id": "73348316"}, {"ref": "rosarisimanjuntak/12s22052-rosari-gan", "kernel_id": "73358715"}, {"ref": "beatricesiahaan/12s22020-i-m-something-of-a-painter-myself", "kernel_id": "73153081"}, {"ref": "agnesharefa/gan-12s22049", "kernel_id": "73190242"}, {"ref": "nikitasimanjuntak/12s222005", "kernel_id": "73174888"}, {"ref": "nikitasimanjuntak/12s22005-i-m-something-of-a-painter-myself-gan", "kernel_id": "73359100"}, {"ref": "nikitasimanjuntak/anak-papi-jesus", "kernel_id": "73351729"}, {"ref": "ferrypanjaitan/12s22027", "kernel_id": "73349973"}, {"ref": "ferrypanjaitan/12s22027-ferry-ando-h-o-panjaitan-p3", "kernel_id": "73301356"}, {"ref": "reinhardbatubara/12s22012-reinhard-batubara-generative-adversarial", "kernel_id": "73198023"}, {"ref": "christoffeltheofani/12s22013-christofffel-theofani-napitupulu", "kernel_id": "73198007"}, {"ref": "bethaniahasibuan/bethania", "kernel_id": "73198145"}, {"ref": "jeremynainggolan/12s22002-cyclegan", "kernel_id": "73257197"}, {"ref": "tennov/gan-tennov", "kernel_id": "73157708"}, {"ref": "pimpinahaswerosloi/notebookb5f0d7f8f4", "kernel_id": "73365041"}, {"ref": "feliceanggiesirait/12s22006-use-gan-to-create-art", "kernel_id": "73338389"}, {"ref": "anthonyylee/gan-monet-generator", "kernel_id": "74172731"}, {"ref": "trixmixing1ai/t-b-6", "kernel_id": "74844785"}, {"ref": "frisks/cyclegan-resnet-pytorch", "kernel_id": "74230911"}, {"ref": "frisks/this-cyclegan-is-somwhat-of-a-painter-itself", "kernel_id": "74206767"}, {"ref": "kipshidze/i-m-something-of-a-painter-myself", "kernel_id": "74461063"}, {"ref": "vanmanhbk/cyclegan-portraint", "kernel_id": "75844689"}, {"ref": "moezahsan1/gan-i-am-something-of-a-painter-myself", "kernel_id": "75697666"}, {"ref": "azatku/notebook1c6baf0390", "kernel_id": "75541024"}, {"ref": "nezihesozen/week-5-gan-csca-5642", "kernel_id": "76683691"}, {"ref": "kedhareswernaidu/like-paintings", "kernel_id": "76304565"}, {"ref": "dingggggg/cyclegan-image2paint", "kernel_id": "76652067"}, {"ref": "vanmanhbk/monet-cyclegan-tutorial", "kernel_id": "76414604"}, {"ref": "vanmanhbk/neural-style-transfer-photo-to-monet", "kernel_id": "76526885"}, {"ref": "vanmanhbk/monet-cyclegan-with-better-cycles-445a8f", "kernel_id": "76498019"}, {"ref": "vanmanhbk/photo-to-monet-using-cyclegan", "kernel_id": "76451927"}, {"ref": "vanmanhbk/transfering-style", "kernel_id": "76454315"}, {"ref": "vanmanhbk/monet-cyclegan-with-better-cycles-using-model", "kernel_id": "76607299"}, {"ref": "vanmanhbk/cyclegan-landscaping", "kernel_id": "76318385"}, {"ref": "vanmanh2dut/monet-cyclegan-with-better-cycles-445a8f-fb2c80", "kernel_id": "76560165"}, {"ref": "dorisqzchen/part-one-image-translation-using-cyclegan", "kernel_id": "77550736"}, {"ref": "dorisqzchen/part-two-continue-training-the-cyclegan", "kernel_id": "77968343"}, {"ref": "dingggggg/image2paint-fast-style-transfer", "kernel_id": "77356119"}, {"ref": "vanmanhbk/monet-cyclegan-with-better-cycles-jpg", "kernel_id": "77225394"}, {"ref": "vanmanhbk/monet-cyclegan-with-better-cycles-512", "kernel_id": "77393793"}, {"ref": "vanmanhbk/cyclegans-model", "kernel_id": "77740143"}, {"ref": "sai10py/gans-art-creation", "kernel_id": "77391965"}, {"ref": "ivandavidruizangel/ivandruiza-1-2-monet-cycle-gan", "kernel_id": "77419588"}, {"ref": "ivandavidruizangel/ivandruiza-2-2-monet-cycle-gan", "kernel_id": "77614666"}, {"ref": "wenyunhe/notebook6fe6fb98aa", "kernel_id": "77008739"}, {"ref": "ldausl/two-objective-discriminator", "kernel_id": "77633927"}, {"ref": "vanmanh2dut/monet-cyclegan-tutorial-31f178", "kernel_id": "77120778"}, {"ref": "vanmanh2dut/monet-cyclegan-with-better-cycles", "kernel_id": "77243797"}, {"ref": "vanmanh2dut/monet-cyclegan-with-better-cycles-1024", "kernel_id": "77670124"}, {"ref": "dingggggg/cycle-gan-image2paint-monet-and-vangogh", "kernel_id": "78955305"}, {"ref": "dingggggg/sketch2image-using-cyclegan", "kernel_id": "78054422"}, {"ref": "arbindksingh/notebook251e0f9d36", "kernel_id": "78645173"}, {"ref": "lucaslittle/gan-getting-started", "kernel_id": "78254939"}, {"ref": "rohanxaviergupta/cycleganmonet", "kernel_id": "78322463"}, {"ref": "rawanmahmoud9974u/gans-art-crea", "kernel_id": "78254249"}, {"ref": "willion12/notebookd01", "kernel_id": "78371757"}, {"ref": "sdeogade/gan-implementation-s", "kernel_id": "79980920"}, {"ref": "manasi197/gan-implementation", "kernel_id": "79358414"}, {"ref": "erikanderson1/gan-for-generating-art-in-the-style-of-monet", "kernel_id": "80998994"}, {"ref": "vikkach/monet-cyclegan", "kernel_id": "80684838"}, {"ref": "robertoxley/something-of-a-painter-cyclegan", "kernel_id": "80238011"}, {"ref": "cookiejar2104/day-night-cyclegan", "kernel_id": "80313879"}, {"ref": "christophermoverton/cyclegan-with-resnet-and-patchgan", "kernel_id": "80379313"}, {"ref": "ayush4549/painter", "kernel_id": "80734106"}, {"ref": "amaansiddiqui14/day-night-cyclegan", "kernel_id": "80338924"}, {"ref": "kmora2b/wk5-gan-monet-notebook", "kernel_id": "81751260"}, {"ref": "ccozad/week-5-gan-monet-paintings-mini-project", "kernel_id": "81314940"}, {"ref": "dimitrismylonas/msds-5511-w5", "kernel_id": "81781268"}, {"ref": "thanushreev/notebook04c09ccc66", "kernel_id": "81118562"}, {"ref": "amrdabour/pix2pix", "kernel_id": "81051529"}, {"ref": "ahmedswillam/pix2pix-6365a8", "kernel_id": "81992249"}, {"ref": "carlosmatherson/monet-cyclegan", "kernel_id": "81189132"}, {"ref": "sushmachilakala/gan-image-creation", "kernel_id": "81193675"}, {"ref": "akibuddinnayan/cyclegan-monet-to-photo", "kernel_id": "82126712"}, {"ref": "michaelgrybko/gan-monet-paintings", "kernel_id": "82294998"}, {"ref": "piyaqwerty/real-to-paint-cyclegan", "kernel_id": "82058932"}, {"ref": "hui66dm2/cyclegan", "kernel_id": "82475284"}, {"ref": "vanmanh2dut/monet-cyclegan-with-better-cycles-using-8fd377", "kernel_id": "82167001"}, {"ref": "jayjitpradhan/notebook-gan", "kernel_id": "83173227"}, {"ref": "dingggggg/cyclegan-with-cam", "kernel_id": "83388335"}, {"ref": "champakjyotikonwar/introduction-to-cyclegan-monet-paintings", "kernel_id": "83468597"}, {"ref": "jonathansaputra/monetify-project", "kernel_id": "83147008"}, {"ref": "jonathansaputra/monetify-2", "kernel_id": "83159946"}, {"ref": "jeremiahtabb/gan-monet", "kernel_id": "83622107"}, {"ref": "irwindeep/monet2photo-cyclegan", "kernel_id": "84127450"}, {"ref": "matthewsebastian2/monet-style-transfer-cycle-gan", "kernel_id": "84285633"}, {"ref": "michport/gan-image-creator", "kernel_id": "84163955"}, {"ref": "manmeetsingh19/cyclegan-with-cam", "kernel_id": "84953903"}, {"ref": "vitalisn/style-transfer-with-vgg19", "kernel_id": "85621285"}, {"ref": "vitalisn/style-transfer-with-cyclegan", "kernel_id": "85623025"}, {"ref": "jonchernoch/style-transfer-with-cyclegan-68-9-mifid", "kernel_id": "85513842"}, {"ref": "hivanmanh/monet-cyclegan-with-better-cycles-445a8f", "kernel_id": "85555367"}, {"ref": "alexandermaitken/creating-art-with-gans", "kernel_id": "85743353"}, {"ref": "billtruelove/monet-image-project", "kernel_id": "86947341"}, {"ref": "youssefhassan1234/monet2photo-cyclegan", "kernel_id": "86810448"}, {"ref": "shmel9va/cyclegan", "kernel_id": "86420880"}, {"ref": "shmel9va/dcgan", "kernel_id": "86598909"}, {"ref": "yassienwasfy/cut-gan-from-scratch-i-am-a-painter-myself", "kernel_id": "86346014"}, {"ref": "anhkhoaonnguyn/fork-of-fork-of-cyclegan", "kernel_id": "86330363"}, {"ref": "anhkhoaonnguyn/fork-of-cyclegan", "kernel_id": "86270538"}, {"ref": "swatipandey503/cyclegan-with-pytorch", "kernel_id": "87441230"}, {"ref": "swatipandey503/basic-gan-with-pytorch", "kernel_id": "87302635"}, {"ref": "alexandermeau/monet-gan-generator", "kernel_id": "87564068"}, {"ref": "davidlord123/monet-cyclegan", "kernel_id": "87102421"}, {"ref": "codenamezero6876/simple-pytorch-cyclegan-unet-based-generator", "kernel_id": "87404476"}, {"ref": "gauripatil2299/generating-monet-style-paintings-using-gans", "kernel_id": "87204631"}, {"ref": "fuzzycoder3794/dcgan-approach-for-monet-styled-paintings", "kernel_id": "87044938"}, {"ref": "fuzzycoder3794/monet-cut", "kernel_id": "87984988"}, {"ref": "fuzzycoder3794/unetbased-cycle-gan", "kernel_id": "87933338"}, {"ref": "umerellous/cycle-gan", "kernel_id": "88549099"}, {"ref": "antonglushko1/i-m-something-of-a-painter-myself", "kernel_id": "88969208"}, {"ref": "jonathanliucboulder/monet-gan-project", "kernel_id": "88531739"}, {"ref": "lynchrl/week-5-gan-mini-project-final-execution", "kernel_id": "89965863"}, {"ref": "shubham068/dcgan-approach-for-monet-styled-paintings", "kernel_id": "91934292"}, {"ref": "shubham068/notebook002186b0d1", "kernel_id": "91943834"}, {"ref": "dingggggg/celab-gender-change-using-gan", "kernel_id": "91854721"}, {"ref": "dingggggg/arcylic-painting-cyclegan", "kernel_id": "91858163"}, {"ref": "dingggggg/monet-painting-gan", "kernel_id": "91857669"}, {"ref": "tinatally/monet-cyclegan-with-u-net-architecture", "kernel_id": "92826296"}, {"ref": "varuch/imitando-a-monet-imitating-monet", "kernel_id": "92354021"}, {"ref": "nocarbonintelligence/i-m-something-of-a-painter-myself", "kernel_id": "92881060"}, {"ref": "dnmorgan/dtsa5511-week5-project", "kernel_id": "93555783"}, {"ref": "anthonytherrien/i-m-something-of-a-painter-myself-trainer", "kernel_id": "94855807"}, {"ref": "yowasup/gans-i-ms-omething-of-a-painter-myself", "kernel_id": "94935421"}, {"ref": "raninikki/painter-gans", "kernel_id": "95215980"}, {"ref": "danielkenney99/painter-dcgan", "kernel_id": "96288624"}, {"ref": "haikalhakimm/deep-learning-image-to-image", "kernel_id": "98777340"}, {"ref": "jimmymaulana/notebookd193d15bdf", "kernel_id": "98646209"}, {"ref": "wendyhielo/i-m-something-of-a-painter-final-project", "kernel_id": "99082054"}, {"ref": "sivanarutselvi/cyclegan-model", "kernel_id": "99113408"}, {"ref": "evanoleary/alexandria-competition-gan-getting-starte-216249", "kernel_id": "100487401"}, {"ref": "anisharavishankar/competition-notebook", "kernel_id": "102482719"}, {"ref": "hoangop/project-w5", "kernel_id": "102214926"}, {"ref": "phucddo/notebook57d81a1106", "kernel_id": "103617371"}, {"ref": "osquerkkzlk/cyclegan", "kernel_id": "103329260"}, {"ref": "anhkhoaonnguyn/diffusion-trial-for-photo2monet", "kernel_id": "104939102"}, {"ref": "hmnshudhmn24/i-m-something-of-a-painter-myself-challenge", "kernel_id": "104968925"}, {"ref": "yeomenghan/monet-gan", "kernel_id": "106021801"}, {"ref": "abhijeetmehla/monet-cyclegan", "kernel_id": "106108666"}, {"ref": "yasserhamdanfr/image-generator-with-gans", "kernel_id": "106156744"}, {"ref": "dawudujamaa/ujamaaddds8150-7", "kernel_id": "107011403"}, {"ref": "wolflxchuppy/monet-gan", "kernel_id": "107396142"}, {"ref": "masanakashima/monet-cyclegan-visual-art-guide", "kernel_id": "108390750"}, {"ref": "leyuzakoksoken/tinycyclegan-monet-style-transfer-with-small-imag", "kernel_id": "108974181"}, {"ref": "ktaz56/fortunec-dds8150-7", "kernel_id": "109411783"}, {"ref": "soccerguy282/style-transfer-with-cyclegan", "kernel_id": "110042803"}, {"ref": "itsyoursumit/monet-cyclegan-tutorial", "kernel_id": "110601637"}, {"ref": "eshatrahman/gans-to-create-arts", "kernel_id": "111345240"}, {"ref": "rahulhiremath1208/picture-to-van-gogh-style-painting-cyclegan", "kernel_id": "112333902"}, {"ref": "richardqin404/i-m-something-of-a-painter-myself", "kernel_id": "113136533"}, {"ref": "franekwodarczyk/impression-gan", "kernel_id": "114963776"}, {"ref": "amlear/monet-cyclegan-with-u-net-architecture", "kernel_id": "114283293"}, {"ref": "amlear/i-m-something-of-a-painter-myself-trainer", "kernel_id": "114283720"}, {"ref": "zeinabhassaneen/zeinab-s-monet-generator-project-gan", "kernel_id": "114456532"}, {"ref": "amlear/gans-to-create-arts", "kernel_id": "115161514"}, {"ref": "apachikoff/impression-gan", "kernel_id": "116447095"}, {"ref": "evgendvorkin/i-m-something-of-a-painter-myself", "kernel_id": "116649627"}, {"ref": "surajthakur21/monet-style-image-gans", "kernel_id": "116098677"}, {"ref": "lokeshpuma/painter-cyclegan", "kernel_id": "116514061"}, {"ref": "jek1wantaufik/cyclegan-monet-style-transfer", "kernel_id": "116741714"}, {"ref": "whinton/hintonwdds8150-7v4", "kernel_id": "119439993"}, {"ref": "shrivardhanijare/notebook385330658a-fea1a5", "kernel_id": "120901574"}, {"ref": "shrivardhanijare/notebookb30f2bac5c", "kernel_id": "120986753"}, {"ref": "blackseasharkgcvt/notebook073c595cd1", "kernel_id": "121842480"}, {"ref": "johnpaullucero/monets", "kernel_id": "121262600"}, {"ref": "xiao789/notebook", "kernel_id": "121996094"}, {"ref": "wanerzhou/i-m-something-of-a-painter-myself", "kernel_id": "121376726"}, {"ref": "leah3333/cyclegan-try001", "kernel_id": "121148504"}, {"ref": "joymietalicuad/style-transfer-with-cyclegan", "kernel_id": "122169291"}, {"ref": "tedrosh/notebook70b1a8d188", "kernel_id": "124280103"}, {"ref": "joymietalicuad/cycle-gan-pytorch-2-something-of-a-painter", "kernel_id": "131061051"}]}
{"competition_id": "21760", "kernels": []}
{"competition_id": "21762", "kernels": [{"ref": "thanepi/journal-clean-logistic-regression-decision-tree", "kernel_id": "10751368"}, {"ref": "kobkritv/aiat-hackathon-2-pycaret", "kernel_id": "10724660"}, {"ref": "getdna/sirawich-s-notebook", "kernel_id": "10748053"}, {"ref": "getdna/sirawich-s-notebook-test", "kernel_id": "10751654"}, {"ref": "wirojpluemwongroj/aiat-hackathon-2-wiroj", "kernel_id": "10741301"}, {"ref": "wirojpluemwongroj/aiat-hackathon-2-wiroj2", "kernel_id": "10749270"}]}
{"competition_id": "21763", "kernels": [{"ref": "daksh22/diamond-price", "kernel_id": "10938900"}]}
{"competition_id": "21769", "kernels": [{"ref": "walras/random-forest", "kernel_id": "11319194"}, {"ref": "zaurkudzaev/notebook3d92deae0b", "kernel_id": "26087544"}, {"ref": "adiugm/post-pruned-trees-and-gradient-boosting", "kernel_id": "64911357"}]}
{"competition_id": "21770", "kernels": [{"ref": "sshikamaru/neural-networks-from-scratch-fashion-mnist", "kernel_id": "11505176"}, {"ref": "joneslaura07/fashion-mnist-from-scratch", "kernel_id": "40699737"}]}
{"competition_id": "21771", "kernels": [{"ref": "sshikamaru/nmlo-covid-regression-3rd-place-solution", "kernel_id": "11256514"}, {"ref": "vagifa/nmlo-contest-3-2nd-place-public-lb", "kernel_id": "11305833"}]}
{"competition_id": "21772", "kernels": [{"ref": "saumandas/tjml-tensorflow-lab-answers", "kernel_id": "20872731"}, {"ref": "saumandas/tjml-tensorflow-lab", "kernel_id": "20881979"}]}
{"competition_id": "21773", "kernels": [{"ref": "sshikamaru/music-nlp-1st-place", "kernel_id": "11341340"}]}
{"competition_id": "21789", "kernels": []}
{"competition_id": "21792", "kernels": [{"ref": "prabhusantoshpanda/kaggle-comp-x-ray-pred", "kernel_id": "12551168"}]}
{"competition_id": "21802", "kernels": []}
{"competition_id": "21810", "kernels": []}
{"competition_id": "21813", "kernels": [{"ref": "daniil915/kernel2c90db1256", "kernel_id": "10808232"}, {"ref": "maorisr/aesthetic-visual-analysis", "kernel_id": "35055966"}]}
{"competition_id": "21819", "kernels": [{"ref": "vikasvikky2020/kernel14cca4c070", "kernel_id": "10937530"}, {"ref": "hemanthkumarpatnala1/mobile-price-rangepredictio", "kernel_id": "10950567"}, {"ref": "jaikishan52/logistic-csvjk", "kernel_id": "10956305"}, {"ref": "sowmya1120/mobile-price-prediction", "kernel_id": "11275870"}, {"ref": "akhilauppuluri/mobilepriceprediction", "kernel_id": "11159907"}, {"ref": "saibhargavikuchipudi/hemalathakavvala", "kernel_id": "11895388"}, {"ref": "rahulkumar152/notebook83ba8a35bb", "kernel_id": "11282572"}, {"ref": "rahulkumar152/notebook63375ef3ea", "kernel_id": "11283255"}, {"ref": "anumagallapreethi/mobile-price-range-prediction", "kernel_id": "11167698"}, {"ref": "sriharsha8/mobile-price-range-prediction", "kernel_id": "11161381"}, {"ref": "yaminireddysama/kernel152931a17f", "kernel_id": "11167812"}, {"ref": "subhamnandy/mobile-price-pediction-subham-nandy", "kernel_id": "11278291"}, {"ref": "praneethravikanti/notebookd7fece6f2a", "kernel_id": "11530678"}, {"ref": "hiteshkv7/notebook2da466389f", "kernel_id": "11274537"}, {"ref": "yelchuriaakanksha/notebook012cc2a9f9", "kernel_id": "11282471"}, {"ref": "deepikarameshwaram/kernel152931a17f", "kernel_id": "11521879"}, {"ref": "dargupallyvaishnavi/notebook56366b459f", "kernel_id": "11521423"}, {"ref": "akhilamallipudi/akhilamallipudi-code", "kernel_id": "11900948"}, {"ref": "saisrigayathri/notebookbca9db5a0c", "kernel_id": "11938579"}, {"ref": "saisrigayathri/notebookd419fb310e", "kernel_id": "11969439"}, {"ref": "rohinsrikumar/week-4-assignment", "kernel_id": "11531268"}, {"ref": "rohinsrikumar/week-4-final-submission", "kernel_id": "11531879"}, {"ref": "brajesh419/notebookfca1e38efb", "kernel_id": "11548972"}, {"ref": "ramyapravallika/ramyapravallika", "kernel_id": "11949299"}, {"ref": "hemalathakavvala/k-sudhalakshmi", "kernel_id": "11921311"}, {"ref": "hemalathakavvala/hemalathakavvala", "kernel_id": "11896095"}, {"ref": "jaquiling/jaquilin-g", "kernel_id": "11912999"}, {"ref": "jhansimullapudi/jhansimullapudi-ml", "kernel_id": "11921334"}, {"ref": "sudhakarri/k-sudha-lakshmi", "kernel_id": "11921465"}, {"ref": "bnithinsai/notebook20ff594ded", "kernel_id": "11936150"}, {"ref": "pichikalapranathi/pichikala-pranathi-ml", "kernel_id": "11937581"}, {"ref": "samhithaveeramaneni/notebook-samhitha", "kernel_id": "11937557"}, {"ref": "muraliravuri/my-first-kaggle", "kernel_id": "12154364"}, {"ref": "tummalatejasri/teju-week5", "kernel_id": "12150519"}, {"ref": "rameshgopi/mobile-price-range", "kernel_id": "12054863"}, {"ref": "saisruthiboddula/mobilepricepredict", "kernel_id": "12135731"}, {"ref": "charaniveerla/charanimobilepriceprediction", "kernel_id": "12148401"}, {"ref": "likhitatulimilli/likhita9", "kernel_id": "12151150"}, {"ref": "chandukancharla/chandu", "kernel_id": "12154365"}, {"ref": "sridhar0625/notebookde2b2eda5c", "kernel_id": "12162287"}, {"ref": "sridhar0625/sridhar", "kernel_id": "12162483"}, {"ref": "eshwarj/eshwar", "kernel_id": "12162226"}, {"ref": "tejanagadattu/dattu", "kernel_id": "12164145"}, {"ref": "saihemanthkumar/notebook674b3c5912", "kernel_id": "12165287"}, {"ref": "karthikbhandary2/mobile-price-range", "kernel_id": "27004226"}]}
{"competition_id": "21824", "kernels": []}
{"competition_id": "21835", "kernels": []}
{"competition_id": "21837", "kernels": [{"ref": "sreelathar/air-bnb", "kernel_id": "10862974"}, {"ref": "sohels7/dphi-kaggle-solution", "kernel_id": "10866088"}, {"ref": "akshvinuthesh/dphi-kaggle-challenge", "kernel_id": "10915063"}, {"ref": "nisrindhoondia/dphi-amsterdam-airbnb-kaggle-challenge", "kernel_id": "11478118"}, {"ref": "dhairyapandya1/airbnb", "kernel_id": "42043375"}]}
{"competition_id": "21848", "kernels": [{"ref": "sachinsharma1123/kernel399db186a2", "kernel_id": "10930582"}]}
{"competition_id": "21849", "kernels": [{"ref": "eliasgreen/catboost-baseline", "kernel_id": "10886543"}, {"ref": "shreya293/diabetes-prediction", "kernel_id": "10883492"}, {"ref": "ishaanaditya/diabetes-prediction-final", "kernel_id": "10893360"}, {"ref": "vlsimple/predict-the-diabetes-1", "kernel_id": "11051353"}, {"ref": "rupeshmahanty/predict-the-diabetes-3-23", "kernel_id": "36157269"}, {"ref": "prabathwijethilaka/diabetes-predict-kaggle", "kernel_id": "48823768"}]}
{"competition_id": "21858", "kernels": []}
{"competition_id": "21867", "kernels": []}
{"competition_id": "21875", "kernels": [{"ref": "souzacarlos/eda-preprocessamento", "kernel_id": "10945067"}, {"ref": "juliozanotto/pneumonia-detection-with-fast-ai", "kernel_id": "10927719"}, {"ref": "chithraanil/pneumonia", "kernel_id": "10965052"}, {"ref": "rodolfomendes/data-augmentation-tests", "kernel_id": "11043932"}, {"ref": "carolenebertoldi/i2a2-brasil-pneumonia-classification", "kernel_id": "11007961"}, {"ref": "matheuspush/i2a2-challenge-2-pneumonia", "kernel_id": "11102483"}, {"ref": "saleke10/kernel-pneum-novo", "kernel_id": "11052008"}]}
{"competition_id": "21887", "kernels": []}
{"competition_id": "21892", "kernels": []}
{"competition_id": "21899", "kernels": []}
{"competition_id": "21906", "kernels": [{"ref": "seojae777/test-ipynb", "kernel_id": "11058938"}]}
{"competition_id": "21929", "kernels": [{"ref": "shreya293/bike-rental-prediction", "kernel_id": "11047689"}, {"ref": "santoshsusarla/notebook16cf04a8cf", "kernel_id": "12502924"}, {"ref": "mohamadgamalibrahim/fork-of-bike-rental-randomforest", "kernel_id": "81665881"}]}
{"competition_id": "21934", "kernels": []}
{"competition_id": "21946", "kernels": []}
{"competition_id": "21947", "kernels": []}
{"competition_id": "21961", "kernels": []}
{"competition_id": "21967", "kernels": [{"ref": "darthroco31415/lb3rdplace", "kernel_id": "11990462"}, {"ref": "skam10/baseline-1", "kernel_id": "11061784"}, {"ref": "nishantnnayak/nishant-s-submission", "kernel_id": "11990740"}, {"ref": "saishmendke/wec-notebook", "kernel_id": "11994323"}, {"ref": "abhinavdugar/final-wec-submission-abhinav-dugar", "kernel_id": "11990966"}, {"ref": "videepkumar/baseline-1", "kernel_id": "11990607"}, {"ref": "rakshitp7/wec-recruitment", "kernel_id": "11992242"}, {"ref": "pranavnkps2000/baseline-1", "kernel_id": "11990732"}, {"ref": "dhruv1005/baseline-1", "kernel_id": "11992985"}, {"ref": "sujanreddy/web-club-task", "kernel_id": "12000785"}, {"ref": "shithik/shithik-basic", "kernel_id": "12095943"}, {"ref": "likhithad1/wec-2020", "kernel_id": "12037987"}, {"ref": "anirudhachal/wec-rec-anirudh-achal", "kernel_id": "12094680"}, {"ref": "satya94/baseline-1", "kernel_id": "12028363"}, {"ref": "muditsinghal/catboost-final-submission", "kernel_id": "12080310"}, {"ref": "kdharmicksai/notebooke0d934a2fd", "kernel_id": "12078326"}, {"ref": "kausthubtm/web-club-recruitment-task", "kernel_id": "12086431"}, {"ref": "alantony/alan-submission-1", "kernel_id": "12093617"}, {"ref": "karthikreddy1729/notebook55c3598464", "kernel_id": "12058888"}, {"ref": "apex2000/jason-krithik-model-1", "kernel_id": "12095198"}, {"ref": "nandakishore323/stacking-models-wec-rec", "kernel_id": "12001357"}, {"ref": "sharvani2002/baseline-1-wec", "kernel_id": "12093346"}, {"ref": "sharvani2002/fork-of-mynotebookwec-random-forest", "kernel_id": "12081154"}, {"ref": "sharvani2002/mynotebookwec", "kernel_id": "12073350"}, {"ref": "sudarshansundarrajan/webrectask-sudarshan", "kernel_id": "12045444"}, {"ref": "tanmayranaware/final-nb", "kernel_id": "12095379"}, {"ref": "rahulmagesh/baseline-1", "kernel_id": "12003336"}, {"ref": "alexmas0n/wec-submission-1", "kernel_id": "12095451"}, {"ref": "jaidevchittoria/xgboost-lightgbm-gbr-hyperparameters-tuning", "kernel_id": "12029917"}, {"ref": "pranavnkps2000/baseline", "kernel_id": "12065546"}, {"ref": "akshayjain22/baseline-1", "kernel_id": "12065349"}, {"ref": "marmikmundada/fork-of-baseline-1", "kernel_id": "12095473"}, {"ref": "myth24/notebookc212f9338d", "kernel_id": "12018384"}, {"ref": "praneethgosu/wec-kaggle-intelli-praneeth", "kernel_id": "12095485"}]}
{"competition_id": "21969", "kernels": []}
{"competition_id": "21974", "kernels": []}
{"competition_id": "21984", "kernels": [{"ref": "jeffheaton/blocks-starter", "kernel_id": "11776707"}, {"ref": "jesseallardice/creating-tfrecords", "kernel_id": "11971681"}, {"ref": "tarunbisht11/starter-notebook-structure-stable-or-not", "kernel_id": "11904629"}, {"ref": "jeffheaton/blocks-starter-xfer-importance", "kernel_id": "12362923"}, {"ref": "seanzhang1997/xception-and-fine-tuning", "kernel_id": "12140701"}, {"ref": "seanzhang1997/resnet101", "kernel_id": "12731864"}, {"ref": "seanzhang1997/xception-improve-with-brightness", "kernel_id": "12698446"}, {"ref": "jesseallardice/house-of-blocks-training-on-tpu", "kernel_id": "12095213"}, {"ref": "tarunbisht11/structure-stable-or-not-gpu", "kernel_id": "12155132"}, {"ref": "sudharsanvijayraghav/first", "kernel_id": "12226553"}, {"ref": "alaaanlee/lighten-sharpen-crop", "kernel_id": "13229200"}, {"ref": "alaaanlee/blocks-starter-xfer-importance", "kernel_id": "13184471"}]}
{"competition_id": "22000", "kernels": []}
{"competition_id": "22001", "kernels": []}
{"competition_id": "22011", "kernels": [{"ref": "yejinjin/ensemble", "kernel_id": "11204319"}]}
{"competition_id": "22016", "kernels": []}
{"competition_id": "22020", "kernels": []}
{"competition_id": "22021", "kernels": [{"ref": "shreydevep/breast-cancer", "kernel_id": "11175731"}, {"ref": "darshanjain29/breast-cancer-dataset-working-solution", "kernel_id": "11432214"}, {"ref": "kartikagarwal17/kartik-agarwal", "kernel_id": "11178247"}, {"ref": "agazhdotai/breast-cancer-prediction", "kernel_id": "16965870"}, {"ref": "dssouvikganguly/breast-cancer-competition-souvik", "kernel_id": "16063945"}, {"ref": "bibiamnabibi/breastcancer-prediction-through-knn", "kernel_id": "36143610"}, {"ref": "karimhassan808/my-very-first-nb", "kernel_id": "75959497"}]}
{"competition_id": "22032", "kernels": []}
{"competition_id": "22035", "kernels": []}
{"competition_id": "22040", "kernels": [{"ref": "n3n77i/dataloader", "kernel_id": "11806977"}, {"ref": "n3n77i/hc-puzzle", "kernel_id": "11668485"}, {"ref": "maximumbeings/hashcode-drone-eda-2", "kernel_id": "11657148"}, {"ref": "jpmiller/application-of-google-or-tools", "kernel_id": "11620746"}, {"ref": "shams1/data-extraction-and-eda", "kernel_id": "11627679"}, {"ref": "sachinsshetty/data-extraction", "kernel_id": "11635065"}, {"ref": "srii96/hashcode-problem-understanding-pre-process", "kernel_id": "11653042"}, {"ref": "spacelx/2020-hc-dd-sample-submission-evaluation", "kernel_id": "11973669"}, {"ref": "marcelolafeta/hash-code-drones-google-imt-vamo-pra-cima", "kernel_id": "11756848"}, {"ref": "yegorbiryukov/hash-code-archive-swarm-of-benders-delivery", "kernel_id": "11889745"}, {"ref": "egrehbbt/greedy-solution-post-processing", "kernel_id": "11957855"}, {"ref": "seraphwedd18/naive-approach-to-tsp-type-solution", "kernel_id": "11634287"}, {"ref": "mahmoudvaziri/file-format", "kernel_id": "11633970"}, {"ref": "piantic/drone-delivery-basic-eda-and-submission", "kernel_id": "11637868"}, {"ref": "amirahalsulami/data-extraction-and-eda", "kernel_id": "11655023"}, {"ref": "ozanuzun/step-by-step", "kernel_id": "11974442"}, {"ref": "sawradipsaha/reading-data-efficiently-with-dictionaries", "kernel_id": "11647058"}, {"ref": "abhishektyagi001/hashcode-drone-delivery", "kernel_id": "11866623"}, {"ref": "lyxthe/1st-place-solution", "kernel_id": "12132352"}, {"ref": "markelovaayfstasii/drones-project", "kernel_id": "12235499"}, {"ref": "tabriznuruyev/in-progress-google-hash-code", "kernel_id": "12643877"}, {"ref": "swapnilaryansinha/drone-project", "kernel_id": "12608549"}, {"ref": "shashankrajput9/drone-delivery-hashcode", "kernel_id": "12212658"}, {"ref": "dargupallyvaishnavi/notebook4261c34501", "kernel_id": "12171647"}, {"ref": "lucasromanato/hash-code-drones-google-imt", "kernel_id": "12405167"}, {"ref": "sridharjayadavan/google-or-tools-drone-delivery", "kernel_id": "12086500"}, {"ref": "royceda/drone-linear-prog-and-routing-heuristic-90-done", "kernel_id": "13360404"}, {"ref": "spacelx/2020-hc-dd-2nd-place-solution-w-or-tools", "kernel_id": "13489312"}, {"ref": "steigenhaus/hashcode-delivery", "kernel_id": "13050166"}, {"ref": "maximofn/3rd-place-solution", "kernel_id": "13528373"}, {"ref": "ahmed4fee/hashcode-delivery", "kernel_id": "13074493"}, {"ref": "janbecker000/drones-v8", "kernel_id": "13123044"}, {"ref": "adityagupta262000/application-of-google-or-tools", "kernel_id": "13509606"}, {"ref": "x2alexteam/drones-and-warehouses", "kernel_id": "13339287"}, {"ref": "bsitech/final-output", "kernel_id": "13517598"}, {"ref": "chankhavu/static-file", "kernel_id": "15123428"}, {"ref": "chankhavu/notebook65db07c95b", "kernel_id": "15122144"}, {"ref": "vaibhavkshirsagar/notebook6c2d9dc8e8", "kernel_id": "16848886"}, {"ref": "sinanimek/uav-detector-design-with-yolo-v4-and-faster-rcnn", "kernel_id": "41539534"}, {"ref": "aipabby/kaggle-drone", "kernel_id": "45074069"}]}
{"competition_id": "22048", "kernels": []}
{"competition_id": "22058", "kernels": []}
{"competition_id": "22060", "kernels": []}
{"competition_id": "22065", "kernels": [{"ref": "livingwithdata/ds-python", "kernel_id": "11209524"}]}
{"competition_id": "22088", "kernels": []}
{"competition_id": "22091", "kernels": []}
{"competition_id": "22099", "kernels": []}
{"competition_id": "22102", "kernels": []}
{"competition_id": "22106", "kernels": [{"ref": "mbmlearner/competition-test-cvh-ml", "kernel_id": "13912564"}, {"ref": "annguyntrng/ann-for-iris-classification-hcmute", "kernel_id": "15784594"}]}
{"competition_id": "22111", "kernels": [{"ref": "geekysaint/corona-virus-covid-19-impact-in-india", "kernel_id": "10579491"}, {"ref": "louise2001/245k-us-deaths-by-election-day", "kernel_id": "10988155"}, {"ref": "lextoumbourou/openvaccine-quick-start-eda", "kernel_id": "11666073"}, {"ref": "danofer/covid-rna-lstm-self-attention-keras-model", "kernel_id": "11686750"}, {"ref": "danofer/cnn-transformer-rnn-feature-eng-data-aug", "kernel_id": "11933058"}, {"ref": "symyksr/openvaccine-deepergcn", "kernel_id": "11776240"}, {"ref": "onodera/covid-ae-pretrain-gnn-attn-cnn", "kernel_id": "11939790"}, {"ref": "fernandoramacciotti/resnet-bpp-paired-unpaired-feature-maps", "kernel_id": "11806403"}, {"ref": "fernandoramacciotti/tpu-self-attention-lstm-bpp-sequences", "kernel_id": "11849315"}, {"ref": "fernandoramacciotti/lgbm-bpp-features", "kernel_id": "11847648"}, {"ref": "jielu0728/speed-up-loading-bpps", "kernel_id": "11843167"}, {"ref": "abhinaythurlapati/reaching-the-rna", "kernel_id": "11761348"}, {"ref": "its7171/how-to-use-arnie-on-kaggle-notebook", "kernel_id": "11818693"}, {"ref": "its7171/how-to-generate-predicted-loop-type", "kernel_id": "11855094"}, {"ref": "its7171/gru-lstm-with-feature-engineering-and-augmentation", "kernel_id": "11856502"}, {"ref": "its7171/dangerous-features", "kernel_id": "11915485"}, {"ref": "its7171/how-to-generate-augmentation-data", "kernel_id": "11871165"}, {"ref": "rexhaif/efficientnet-features-for-openvaccine-data", "kernel_id": "11697188"}, {"ref": "jjinho/preliminary-eda-and-predicted-loop-mean-model", "kernel_id": "11679254"}, {"ref": "code1110/openvaccine-is-bpp-s-the-most-important", "kernel_id": "11824489"}, {"ref": "code1110/openvaccine-mlp-regression-with-bpps", "kernel_id": "11837456"}, {"ref": "robikscube/openvaccine-covid-19-mrna-starter-eda", "kernel_id": "11664051"}, {"ref": "hervind/openvaccine-eda-targets-pattern", "kernel_id": "11816749"}, {"ref": "kank2130/covax-gru-lstm", "kernel_id": "11869940"}, {"ref": "hiroshun/pytorch-implementation-gru-lstm", "kernel_id": "11737433"}, {"ref": "artgor/openvaccine-eda-feature-engineering-and-modelling", "kernel_id": "11664959"}, {"ref": "isaienkov/openvaccine-eda-feature-engineering-modeling", "kernel_id": "11667844"}, {"ref": "poojaprakash94/eda-reactivity-findings", "kernel_id": "11886073"}, {"ref": "strider1125/ov-arnie-augmentation-structure-part2", "kernel_id": "11912513"}, {"ref": "strider1125/ov-arnie-augmentation-structure-part1", "kernel_id": "11911515"}, {"ref": "strider1125/ov-predicted-loop-type-augmentation", "kernel_id": "11928819"}, {"ref": "matthewmasters/pytorch-nn-starter-baseline-inference-0-380", "kernel_id": "11666458"}, {"ref": "matthewmasters/pytorch-nn-starter-baseline-train", "kernel_id": "11667317"}, {"ref": "husseinmazaar/notebook5a573a942e", "kernel_id": "11716214"}, {"ref": "narendra/openvaccine-analysis", "kernel_id": "11685340"}, {"ref": "prasunmishra/openvaccine-simple-lgb-baseline-additional-feature", "kernel_id": "11853613"}, {"ref": "mrkmakr/covid-ae-pretrain-gnn-attn-cnn", "kernel_id": "11935941"}, {"ref": "eunholee/visualization-of-rna-for-new-inspiration", "kernel_id": "11930185"}, {"ref": "daishu/why-keras-is-better-than-pytorch", "kernel_id": "11901383"}, {"ref": "urvishp80/transformer-3lstm-fe-augs-classw-normal", "kernel_id": "11980597"}, {"ref": "urvishp80/transformer-wavenet-fe-augs", "kernel_id": "11916280"}, {"ref": "urvishp80/wavenet-10-fold-tf-blend-cv-0-235", "kernel_id": "11929957"}, {"ref": "reppic/neighborhood-attention-architecture", "kernel_id": "11980471"}, {"ref": "ragnar123/wavenet-gru-baseline", "kernel_id": "11749426"}, {"ref": "rkuo2000/openvaccine-gru-lstm", "kernel_id": "11781075"}, {"ref": "rhtsingh/mrna-vaccine-degradation-prediction-in-pytorch", "kernel_id": "11711273"}, {"ref": "vudangthinh/openvaccine-gcn-graphsage-gru-kfold", "kernel_id": "11765853"}, {"ref": "thedrcat/openvaccine-lstm-fastai", "kernel_id": "11699371"}, {"ref": "arianprabowo/stanford-covid-vaccine-data-exploration", "kernel_id": "11755978"}, {"ref": "santiviquez/openvaccine-linear-regression-kfold", "kernel_id": "11755699"}, {"ref": "santiviquez/openvaccine-basic-eda", "kernel_id": "11753062"}, {"ref": "hidehisaarai1213/openvaccine-checkout-bpps", "kernel_id": "11673095"}, {"ref": "parmarsuraj99/neural-covid-vaccine", "kernel_id": "11691258"}, {"ref": "gagankarora/transfer-learning-gru-lstm-basics-101", "kernel_id": "11850514"}, {"ref": "gagankarora/gru-and-merged-feature-sequence-predicted-loop", "kernel_id": "11958422"}, {"ref": "sishihara/covid-ae-pretrain-gnn-attn-cnn", "kernel_id": "11951497"}, {"ref": "vladimirsydor/basic-visualization-and-stratification-strategy", "kernel_id": "11829468"}, {"ref": "vladimirsydor/white-noise-and-flip-augemntations", "kernel_id": "11931841"}, {"ref": "vbmokin/gru-lstm-mix-custom-loss-tuning-by-3d-visual", "kernel_id": "11794907"}, {"ref": "arunamenon/openvaccine-lstm-gru-overall-features", "kernel_id": "11700020"}, {"ref": "wimwim/covid19-cnn-transformer", "kernel_id": "11688005"}, {"ref": "kaushal2896/openvaccine-xgboost-baseline", "kernel_id": "11664516"}, {"ref": "kaushal2896/openvaccine-neural-network-baseline", "kernel_id": "11687179"}, {"ref": "kaushal2896/openvaccine-ensemble", "kernel_id": "11683986"}, {"ref": "beamers/covid-vaccine-to-create-a-csv", "kernel_id": "11972517"}, {"ref": "masashisode/pytorch-implementation-of-mcrmseloss", "kernel_id": "11758726"}, {"ref": "jameschapman19/openvaccine-gcn", "kernel_id": "11725624"}, {"ref": "mightyrains/a-study-in-errors", "kernel_id": "11738649"}, {"ref": "akashsuper2000/autoencoder-pretrain-gnn-attn-cnn", "kernel_id": "11999170"}, {"ref": "snakayama/se-wave-block-cbr-cudnngru-cudnnlstm-epoch60", "kernel_id": "11872373"}, {"ref": "xplorer42/openvaccine-analyzing-and-describing-the-data", "kernel_id": "11691296"}, {"ref": "gopidurgaprasad/openvaccine-pytorch-pipeline", "kernel_id": "11878719"}, {"ref": "theoviel/generating-graph-matrices-from-the-structures", "kernel_id": "11704043"}, {"ref": "mukesh2630/mvan-covid-mrna-vaccine-analysis-notebook-268", "kernel_id": "11763238"}, {"ref": "jagdmir/covid-19-mrna-vaccine-gru", "kernel_id": "11973017"}, {"ref": "elvictor/openvaccine-gru-lstm-update", "kernel_id": "11734799"}, {"ref": "sajikim/baseline-vaccine-degradation-prediction", "kernel_id": "11663981"}, {"ref": "yawata/lightgbm-with-network-features", "kernel_id": "11867581"}, {"ref": "mahmudds/vaccine-degradation-prediction", "kernel_id": "11784098"}, {"ref": "timetraveller98/bert-for-mrna", "kernel_id": "11762828"}, {"ref": "alelafe/openvaccine-gru-lstm-noiselevel", "kernel_id": "11707726"}, {"ref": "rdboyes/read-and-clean-data-r", "kernel_id": "11771065"}, {"ref": "itsuki9180/mvan-covid-mrna-vaccine-analysis-notebook-268", "kernel_id": "11754552"}, {"ref": "c7934597/covid-ae-pretrain-gnn-attn-cnn", "kernel_id": "11979442"}, {"ref": "xhlulu/openvaccine-gru-with-keras-tuner", "kernel_id": "11714774"}, {"ref": "xhlulu/openvaccine-simple-gru-model", "kernel_id": "11682242"}, {"ref": "xin016/try-to-complete-the-get-pair-index-structure", "kernel_id": "11813099"}, {"ref": "omarvivas/ensemble-cb-lightgbm-openvaccine-v4", "kernel_id": "11757993"}, {"ref": "omarvivas/ensemble-cb-lightgbm-xgb-openvaccine-v2", "kernel_id": "11747399"}, {"ref": "aestheteaman01/mvan-covid-mrna-vaccine-analysis-notebook-268", "kernel_id": "11730603"}, {"ref": "yosukeyama/sn-cutoff-get-better-score-for-noisy-data", "kernel_id": "11728422"}, {"ref": "yosukeyama/lightgbm-augment-bpps-optuna-tuning", "kernel_id": "11981923"}, {"ref": "imeintanis/openvaccine-gru-lstm-hyperparameter-search", "kernel_id": "11755745"}, {"ref": "nancy392/mix-gru-lstm-oop-refactoring", "kernel_id": "11964483"}, {"ref": "meemr5/openvaccine-interesting-visualizations", "kernel_id": "11726648"}, {"ref": "eladwar/openvaccine-bert-model", "kernel_id": "11697211"}, {"ref": "eladwar/npys-model", "kernel_id": "11755153"}, {"ref": "ricopue/second-structure-plot-and-info-with-forgi", "kernel_id": "11704110"}, {"ref": "alibaba19/covid-mrna-expo", "kernel_id": "11680562"}, {"ref": "soumochatterjee/openvaccine", "kernel_id": "11673031"}, {"ref": "albernard/openvaccine-gru-lstm-gkf-augs", "kernel_id": "11712752"}, {"ref": "nasirkhalid24/83-feature-engineering-entropy-mtn-plot", "kernel_id": "11972002"}, {"ref": "nasirkhalid24/cnn-transformer-enc-rnn-feature-eng-data-aug", "kernel_id": "11886260"}, {"ref": "sneha5gsm/mrna-lstm", "kernel_id": "11992135"}, {"ref": "vatsalparsaniya/openvaccine-eda", "kernel_id": "11722224"}, {"ref": "vatsalparsaniya/openvaccine-t-sne-rapids", "kernel_id": "11929543"}, {"ref": "prashant268/openvaccine-covid-19-feature-engineering", "kernel_id": "11954997"}, {"ref": "dinhthilan/open-vaccine-simple-ensemble", "kernel_id": "11806031"}, {"ref": "arnabark/covid19-feature-engineering-xgboost", "kernel_id": "11670772"}, {"ref": "santhoshgoku/cudnnlstm-vs-cudnngru-model-comparison", "kernel_id": "11747713"}, {"ref": "barteksadlej123/lstm-vs-gru-with-cross-validation", "kernel_id": "11713677"}, {"ref": "sharifmehedi24/c-19-mrna", "kernel_id": "11820992"}, {"ref": "amiiiney/covid-19-mrna-vaccine-eda-baseline", "kernel_id": "11673196"}, {"ref": "hirayukis/pytorch-lstm-ensemble", "kernel_id": "11953652"}, {"ref": "t88take/openvaccine-simple-lgb-baseline", "kernel_id": "11679100"}, {"ref": "brodzik/openvaccine-lstm-in-pytorch", "kernel_id": "11693092"}, {"ref": "morizin/baseline-notebook", "kernel_id": "11663936"}, {"ref": "doanquanvietnamca/resnet18-mini-training", "kernel_id": "11673705"}, {"ref": "doanquanvietnamca/resnet18-mini-baseline-inference", "kernel_id": "11674527"}, {"ref": "tatsuya214355/stanford-covid-vaccine", "kernel_id": "11664947"}, {"ref": "catadanna/covid-label-analysis", "kernel_id": "11843640"}, {"ref": "catadanna/gru-lstm-mix-with-custom-loss", "kernel_id": "11880934"}, {"ref": "ajaykumar7778/openvaccine-gru-lstm-noiselevel-d0987a", "kernel_id": "11711959"}, {"ref": "ajaykumar7778/fastai-tabular-covid", "kernel_id": "11688434"}, {"ref": "ajaykumar7778/gru-model", "kernel_id": "11692537"}, {"ref": "ajaykumar7778/openvaccine-gru-lstm-noiselevel-7352f3", "kernel_id": "11729224"}, {"ref": "namanj27/tfdistilbert-mrna-tpus-tf", "kernel_id": "11821588"}, {"ref": "raviet/easy-way-of-combining-gru-lstm-using-nn-pytorch", "kernel_id": "11831517"}, {"ref": "gandagorn/gru-lstm-mix-with-custom-loss", "kernel_id": "11775190"}, {"ref": "iamleonie/openvaccine-eda-feature-engineering-with-forgi", "kernel_id": "11719495"}, {"ref": "taruto1215/openvaccine", "kernel_id": "11747802"}, {"ref": "tuliofc/histgradientboosting-baseline", "kernel_id": "11679277"}, {"ref": "josecarmona/openvaccine-v-0-3-10-bigrulstm-approach", "kernel_id": "11991521"}, {"ref": "elvinagammed/openvaccine-eda-feature-eng-stacked-gru-modeling", "kernel_id": "11687611"}, {"ref": "elvinagammed/tfkeras-feature-eng-gru-lstm-blend-top", "kernel_id": "11733429"}, {"ref": "elvinagammed/tfbert-on-tpu", "kernel_id": "11837762"}, {"ref": "elvinagammed/notebook0b15fdf295", "kernel_id": "11808018"}, {"ref": "carlmcbrideellis/baseline-mean-values-gaussian-noise-0-495", "kernel_id": "11666534"}, {"ref": "anzhemeng/openvaccine-gru-lstm-with-custom-loss-function", "kernel_id": "11737090"}, {"ref": "niksapraljak/computing-free-energy-feature-engineering", "kernel_id": "11846315"}, {"ref": "tamilsel/openvaccine-attempt-data-augmentation", "kernel_id": "11987120"}, {"ref": "mrutyunjaybiswal/bpps-eda-lstm-hybrid-on-stanford-covid-vaccine", "kernel_id": "11902697"}, {"ref": "alicia183/openvaccine-ensemble", "kernel_id": "11720834"}, {"ref": "imakaruamikurah/vaccine-covid-19", "kernel_id": "11953143"}, {"ref": "nxrprime/train-infer-catalyst-pytorch-rnn-baseline", "kernel_id": "11683196"}, {"ref": "allohvk/eda-some-additional-features-rc-pair-distance", "kernel_id": "11900505"}, {"ref": "chrisyeungg/cisc-451-project", "kernel_id": "11814263"}, {"ref": "tuckerarrants/openvaccine-gru-lstm", "kernel_id": "11695930"}, {"ref": "iknottx/covid-vaccine", "kernel_id": "11694772"}, {"ref": "albertozorzetto/openvaccine-cnn-bilstm", "kernel_id": "11739837"}, {"ref": "tomaetomae/feature-generation-from-domain-knowledge", "kernel_id": "11935901"}, {"ref": "satyanarayanam/openvaccine-gru-lstm", "kernel_id": "11904014"}, {"ref": "satyanarayanam/notebookac8786d079", "kernel_id": "11905832"}, {"ref": "aeryss/openvaccine-gru-lstm-attention", "kernel_id": "11718324"}, {"ref": "shadowburning/tcn-lstm-gru", "kernel_id": "11845493"}, {"ref": "shubhamkumar56/openvaccine-gru-lstm-noiselevel-no-activation", "kernel_id": "11713077"}, {"ref": "empirostipos/output2-5", "kernel_id": "11994786"}, {"ref": "empirostipos/output2-6", "kernel_id": "11994818"}, {"ref": "empirostipos/output2-3", "kernel_id": "11994700"}, {"ref": "empirostipos/output2-4", "kernel_id": "11994762"}, {"ref": "empirostipos/output2-2", "kernel_id": "11994641"}, {"ref": "arunprathap/openvaccine-hungry-for-more-features", "kernel_id": "11921809"}, {"ref": "arunprathap/transformer-encoder-implementation", "kernel_id": "11885197"}, {"ref": "arunprathap/openvaccine-literature-survey", "kernel_id": "11835042"}, {"ref": "arunprathap/openvaccine-flatten-json-data", "kernel_id": "11677510"}, {"ref": "arunprathap/openvaccine-feature-correlation-importance", "kernel_id": "11739574"}, {"ref": "arunprathap/openvaccine-json-dataset-to-csv-dataset", "kernel_id": "11766778"}, {"ref": "neithermannormachine/openvaccine-sequence-models", "kernel_id": "11831120"}, {"ref": "mannsingh/openvaccine-lgbm", "kernel_id": "11687132"}, {"ref": "mannsingh/cnn-for-npy-files", "kernel_id": "11761430"}, {"ref": "akghyd/covid-ae-pretrain-gnn-attn-cnn", "kernel_id": "11966632"}, {"ref": "riteshkrjha/openvaccine-codon-features-with-xgb-baseline", "kernel_id": "11832545"}, {"ref": "veggibird/openvaccine-eda", "kernel_id": "11860139"}, {"ref": "karlbina/stanford-covid-vaccine-eda-modeling-xgboot-bi-gru", "kernel_id": "11925475"}, {"ref": "atrisharma/covid-19-vaccine-attempt-1", "kernel_id": "11976690"}, {"ref": "penchalaiah123/gru-model", "kernel_id": "11705017"}, {"ref": "hirazawahiroshi/openvaccine-simple-lgb-use-of-error-information", "kernel_id": "11903799"}, {"ref": "ethercoin/dangerous-features", "kernel_id": "11922092"}, {"ref": "mathurinache/gru-lstm-with-48k-augmentation", "kernel_id": "12010847"}, {"ref": "steubk/rescoring-time", "kernel_id": "12153926"}, {"ref": "xavierfernandes/mrna-reactivity-graph-convolutional-network", "kernel_id": "12001124"}, {"ref": "onodera/covid-2nd-place-onodera-pt1", "kernel_id": "12452398"}, {"ref": "onodera/covid-2nd-place-onodera-pt2", "kernel_id": "12453380"}, {"ref": "group16/covid-19-mrna-4th-place-solution", "kernel_id": "12282552"}, {"ref": "group16/generating-bpps-with-arnie", "kernel_id": "12282918"}, {"ref": "mtinti/comparison-new-dataset", "kernel_id": "12510861"}, {"ref": "its7171/feature-extraction", "kernel_id": "12165882"}, {"ref": "kingychiu/mrna-base-degradation-keras-cnn-gcn-rnn", "kernel_id": "12441268"}, {"ref": "strider1125/starter-open-vaccine-3d-structures", "kernel_id": "12160993"}, {"ref": "strider1125/inference-new-233-sequences", "kernel_id": "12885924"}, {"ref": "gdonchyts/probing-private-scores", "kernel_id": "12149865"}, {"ref": "gdonchyts/openvaccine-ae", "kernel_id": "12081718"}, {"ref": "gdonchyts/gru-lstm-with-features-aug-error", "kernel_id": "12014963"}, {"ref": "gdonchyts/compare-reactivity-predictions", "kernel_id": "12012484"}, {"ref": "shams1/openvaccine-simple-gru-model", "kernel_id": "12020909"}, {"ref": "ttagu99/51th-place-single-model-private-score-0-35175", "kernel_id": "12148534"}, {"ref": "daishu/answer-why-is-keras-better-than-pytorch", "kernel_id": "12002585"}, {"ref": "urvishp80/transformer-lstm-gru-classw-5folds", "kernel_id": "12000006"}, {"ref": "youhanlee/9th-ae-pretrain-gnn-attn-cnn", "kernel_id": "12232286"}, {"ref": "youhanlee/9th-tf-transformer-convattention-adjatt", "kernel_id": "12232790"}, {"ref": "youhanlee/9th-open-vaccine-pytorch-ii-yh", "kernel_id": "12232822"}, {"ref": "youhanlee/9th-gnn", "kernel_id": "12232025"}, {"ref": "go5kuramubon/bert-mlm-training-with-augment", "kernel_id": "12044394"}, {"ref": "thedrcat/visualize-predictions-of-top-kernels", "kernel_id": "12102586"}, {"ref": "abchotujnn/openvaccine", "kernel_id": "12104080"}, {"ref": "nyanpn/eternafold-open-waccine-pytorch-ae-pretrain", "kernel_id": "12143234"}, {"ref": "nyanpn/6th-place-cnn-gcn", "kernel_id": "12214487"}, {"ref": "sishihara/inference-of-data-aug43k-of-covid-ae", "kernel_id": "12121494"}, {"ref": "sishihara/fold-0-of-data-aug-of-covid-ae-pretrain", "kernel_id": "12108518"}, {"ref": "yakuben/openvaccine-89th-place-single-model", "kernel_id": "12144958"}, {"ref": "tusharkale/covid-ae-pretrain-gnn-attn-cnn", "kernel_id": "12175974"}, {"ref": "akashsuper2000/covid-ae-pretrain-gnn-attn-cnn", "kernel_id": "12121399"}, {"ref": "akashsuper2000/open-vaccine-pytorch-v", "kernel_id": "12121374"}, {"ref": "akashsuper2000/open-vaccine-pytorch-ii", "kernel_id": "12073905"}, {"ref": "gopidurgaprasad/covid-ae-gnn-attn-cnn-pytorch", "kernel_id": "12041414"}, {"ref": "liaowenxiong/open-vaccine-pytorch-ii", "kernel_id": "12084799"}, {"ref": "theoviel/open-vaccine-pl", "kernel_id": "12129379"}, {"ref": "kfujikawa/2nd-place-solution-inference-kf-new-sequences", "kernel_id": "12412216"}, {"ref": "spredisbread/open-vaccine-pytorch-ae-pretrain", "kernel_id": "12049084"}, {"ref": "imeintanis/vaccine-degradation-prediction-shake-up-report", "kernel_id": "12145847"}, {"ref": "meemr5/openvaccine-made-us-fall-and-learn", "kernel_id": "12165741"}, {"ref": "scaomath/openvac-38th-private-lb-simulation-baseline", "kernel_id": "12080759"}, {"ref": "scaomath/private-leaderboard-shake-up", "kernel_id": "12067593"}, {"ref": "scaomath/data-of-position-shannon-entropy", "kernel_id": "12052522"}, {"ref": "vatsalparsaniya/openvaccine-model-training-augmentation", "kernel_id": "12021299"}, {"ref": "philboaz/open-vacine-3009", "kernel_id": "12028549"}, {"ref": "shantanu2401/openvaccine-simple-gru-model", "kernel_id": "12769838"}, {"ref": "inforgeman/openvaccine-image-analysis-graphs-unet", "kernel_id": "12166196"}, {"ref": "takadaat/openvaccine-pytorch-ae-pretrain", "kernel_id": "12022607"}, {"ref": "nullrecurrent/ov-inference-233-new-seq", "kernel_id": "12466901"}, {"ref": "spnahali/openvaccine-bert-model", "kernel_id": "12475318"}, {"ref": "faresemb/openvaccine-covid-19", "kernel_id": "12998134"}, {"ref": "josecarmona/openvaccine-simple-eda", "kernel_id": "12051212"}, {"ref": "haplophyrne/fork-of-gru-lstm-with-feature-engineering-a-7b8dc2", "kernel_id": "12084325"}, {"ref": "manchunhui/openvaccine-gru-lstm-hyptuned", "kernel_id": "12129291"}, {"ref": "manchunhui/openvaccine-gru-lstm-with-cnn", "kernel_id": "12058356"}, {"ref": "fedorbaart/openvaccine-deepergcn-test", "kernel_id": "12082083"}, {"ref": "pengtan/visualization", "kernel_id": "12438899"}, {"ref": "pengtan/machine-learning-project", "kernel_id": "12159947"}, {"ref": "allohvk/opencovidvaccine-anybody-can-contribute", "kernel_id": "12003205"}, {"ref": "bethbaumann/openvaccine-new-features-eda-and-trees", "kernel_id": "12009611"}, {"ref": "satyanarayanam/notebookd7f82ebf0f", "kernel_id": "12066683"}, {"ref": "shivammittal274/openvaccine-eda-feautureengineering", "kernel_id": "12001071"}, {"ref": "underwearfitting/lessonslearned-d", "kernel_id": "12140894"}, {"ref": "underwearfitting/final-post-processing", "kernel_id": "12101236"}, {"ref": "empirostipos/input4-5", "kernel_id": "12005362"}, {"ref": "empirostipos/input5-3", "kernel_id": "12005579"}, {"ref": "empirostipos/input5-4", "kernel_id": "12005600"}, {"ref": "empirostipos/input4-6", "kernel_id": "12005388"}, {"ref": "suzukiseiya/lightgbm-augmented", "kernel_id": "12039198"}, {"ref": "michaelpearce2/openvaccine-rnn-models", "kernel_id": "12013192"}, {"ref": "mreknight/openvaccine-gcn", "kernel_id": "12853286"}, {"ref": "hmnshu/openvaccine-eda-feature-engineering-and-modelling", "kernel_id": "13048447"}, {"ref": "spnahali/conditionalgan", "kernel_id": "13311260"}, {"ref": "kingofdataanalysis/notebook-c19-mrna-deg", "kernel_id": "13070345"}, {"ref": "fatihozturk/explorna-waveapp-for-openvaccine", "kernel_id": "14523479"}, {"ref": "zaydmami/notebook34b0ac8971", "kernel_id": "14540434"}, {"ref": "shujun717/nucleic-transformer-inference", "kernel_id": "15580144"}, {"ref": "yousufqadri/openvaccine-deepergcn", "kernel_id": "16508912"}, {"ref": "kritidoneria/covid-19-rna-vaccine-degradation-using-qlattice", "kernel_id": "18682281"}, {"ref": "spnahali/rna2vec", "kernel_id": "20469655"}, {"ref": "spnahali/openvaccine-w2v-model", "kernel_id": "22432817"}, {"ref": "vshieu/mrna-with-lstm", "kernel_id": "23674017"}, {"ref": "vshieu/test-covid", "kernel_id": "23581029"}, {"ref": "vshieu/how-to-generate-augmentation-data", "kernel_id": "23590057"}, {"ref": "ttsalpha/stanford-covid-vaccine", "kernel_id": "23704373"}, {"ref": "mengyuan2208/project-code", "kernel_id": "23634793"}, {"ref": "ratthachat/preprocessing-deep-learning-input-from-rna-string", "kernel_id": "24282345"}, {"ref": "ratthachat/tutorial-pretrained-sota-deeprna-model-made-easy", "kernel_id": "24609000"}, {"ref": "mwdavis/covid-19-mrna-4th-place-solution", "kernel_id": "25102532"}, {"ref": "lukemahan/openvaccine-covid-19-mrna-starter-eda", "kernel_id": "25624330"}, {"ref": "arjunashok33/openvaccine-gcn-graphsage-gru-kfold", "kernel_id": "27095718"}, {"ref": "bryan194/ae-pretrain-gnn-attn-cnn", "kernel_id": "30200120"}, {"ref": "bryan194/openvaccine-simple-gru-model", "kernel_id": "30195823"}, {"ref": "saraalampi/dl-project-openvaccine-approach-3", "kernel_id": "32974586"}, {"ref": "elvisting/openvaccine-gru-lstm", "kernel_id": "33319779"}, {"ref": "simoncheng89/openvaccine-gru-lstm", "kernel_id": "33324141"}, {"ref": "gleameyes/openvaccine-gru-lstm", "kernel_id": "33324241"}, {"ref": "chenddd/openvaccine-gru-lstm-68547e", "kernel_id": "33380182"}, {"ref": "pfbrian/openvaccine-gru-lstm", "kernel_id": "33517322"}, {"ref": "ihkjhh/openvaccine-gru-lstm", "kernel_id": "33365962"}, {"ref": "alanalanalan0807/openvaccine-gru-lstm", "kernel_id": "33322757"}, {"ref": "yaheesu/openvaccine-gru-lstm", "kernel_id": "33394763"}, {"ref": "william0607/openvaccine-gru-lstm", "kernel_id": "33324337"}, {"ref": "willy610515/openvaccine-gru-lstm", "kernel_id": "33391108"}, {"ref": "julia2001/openvaccine-gru-lstm", "kernel_id": "33322499"}, {"ref": "chungchachi/openvaccine-gru-lstm", "kernel_id": "33319669"}, {"ref": "cyc0908/openvaccine-gru-lstm", "kernel_id": "33395065"}, {"ref": "ljc0852/openvaccine-gru-lstm", "kernel_id": "33391630"}, {"ref": "winterhuz/openvaccine-gru-lstm", "kernel_id": "33322104"}, {"ref": "naruto00953137/openvaccine-gru-lstm-7a922c", "kernel_id": "33322427"}, {"ref": "zw0914/openvaccine-gru-lstm", "kernel_id": "33323607"}, {"ref": "meow10630196/openvaccine-gru-lstm", "kernel_id": "33325642"}, {"ref": "monster888/openvaccine-gru-lstm", "kernel_id": "33322699"}, {"ref": "jeffyuyu/openvaccine-gru-lstm-595476", "kernel_id": "33402592"}, {"ref": "muffin3101/openvaccine-gru-lstm", "kernel_id": "33322401"}, {"ref": "ivanchen1234/openvaccine-gru-lstm", "kernel_id": "33398064"}, {"ref": "moci2001/openvaccine-gru-lstm", "kernel_id": "33328127"}, {"ref": "thegr8est/openvaccine-gru-lstm", "kernel_id": "33306845"}, {"ref": "yian123322/openvaccine-gru-lstm", "kernel_id": "33322119"}, {"ref": "alani20220202/openvaccine-gru-lstm", "kernel_id": "33379909"}, {"ref": "yu0116/openvaccine-gru-lstm", "kernel_id": "33377742"}, {"ref": "xcchiu/openvaccine-gru-lstm-adcff9", "kernel_id": "33323300"}, {"ref": "chenyishan/openvaccine-gru-lstm", "kernel_id": "33508667"}, {"ref": "hsuyuhao/openvaccine-gru-lstm", "kernel_id": "33349025"}, {"ref": "seeanbooo/openvaccine-gru-lstm", "kernel_id": "33404323"}, {"ref": "yuxin01053307/openvaccine-gru-lstm", "kernel_id": "33404788"}, {"ref": "jonathanjason/openvaccine-gru-lstm", "kernel_id": "33061389"}, {"ref": "xiehf355023/openvaccine-gru-lstm", "kernel_id": "33322131"}, {"ref": "wu00953043/openvaccine-gru-lstm", "kernel_id": "33403307"}, {"ref": "ernieaa/openvaccine-gru-lstm", "kernel_id": "33396611"}, {"ref": "leeyuyu26/openvaccine-gru-lstm", "kernel_id": "33587211"}, {"ref": "saraalampi/dl-project-openvaccine-approach-1", "kernel_id": "33463229"}, {"ref": "alessandrocaselli7/dl-group-project-openvaccine-second-approach", "kernel_id": "33023462"}, {"ref": "tanishkagarg25/openvaccine-gcn-graphsage-gru-kfold", "kernel_id": "37825586"}, {"ref": "cthulhucoder/rna-augmentation-using-arnie-viennarna-and-bprna", "kernel_id": "40117057"}, {"ref": "cthulhucoder/open-vaccine-gru-lstm", "kernel_id": "40094610"}, {"ref": "namantuli/openvaccine-gru-lstm-skf-hybrid-blends", "kernel_id": "42749613"}, {"ref": "vinitkp/neighborhood-attention-architecture", "kernel_id": "46411618"}, {"ref": "vinitkp/openvaccine-checkout-bpps", "kernel_id": "46391202"}, {"ref": "ant0nch/preprocessing-deep-learning-input-from-rna-string", "kernel_id": "46453211"}, {"ref": "saiokm/covid-19-mrna-vaccine-comparison-gru-and-lstm", "kernel_id": "48131278"}, {"ref": "shujun717/ribonanzanet-deg-finetune", "kernel_id": "51124396"}, {"ref": "shujun717/ribonanzanet-deg", "kernel_id": "51075196"}, {"ref": "zainabe/openvaccine-gru-lstm", "kernel_id": "55894683"}, {"ref": "ninamalyar/covid-ae-pretrain-gnn-attn-cnn", "kernel_id": "60013957"}, {"ref": "zahrahedyeloo/open-vaccine-project", "kernel_id": "60574195"}, {"ref": "garlic8888/ubuntu18-04", "kernel_id": "65388258"}, {"ref": "saadqacif/openvaccine-gru-lstm", "kernel_id": "74113623"}, {"ref": "partht246/how-to-generate-augmentation-data2", "kernel_id": "77595162"}, {"ref": "reyjaiswal/how-to-generate-augmentation-data-1f529e", "kernel_id": "77597990"}, {"ref": "kalytaartem/nucleic-transformer-rna-degradation-inference", "kernel_id": "78019421"}, {"ref": "atmaclon/openvaccine-gru-lstm-with-custom-loss-f-c05401", "kernel_id": "82971435"}, {"ref": "siddharthchaini/sid-oldtorch", "kernel_id": "85815069"}, {"ref": "vitalisn/video-style-transfer", "kernel_id": "85625019"}, {"ref": "shrianshmanhas/graphsage-c19", "kernel_id": "96112224"}, {"ref": "lylinhlinh/encoder-decoder-openvaccine", "kernel_id": "102548916"}, {"ref": "hoingcnguynphng/openvaccine-eda-feature-engineering-modeling", "kernel_id": "102301360"}, {"ref": "wewewewewewewewewewe/deeplearning", "kernel_id": "102433089"}, {"ref": "tsunesauicgr/hybird-cnn-transformer", "kernel_id": "102869564"}, {"ref": "nicolagutierrezz/deeplearning-final-project", "kernel_id": "106020866"}, {"ref": "t8101349/openvaccine-covid-19", "kernel_id": "119214897"}]}
{"competition_id": "22112", "kernels": [{"ref": "agenthundi/humordetect", "kernel_id": "12537913"}, {"ref": "yutingjiang1010/feedback-01", "kernel_id": "12496217"}, {"ref": "qiuyushi/group-01", "kernel_id": "12579894"}, {"ref": "williamrmathias/bert-implementation", "kernel_id": "12497042"}, {"ref": "ishaaaaan/humordetect", "kernel_id": "58387510"}]}
{"competition_id": "22113", "kernels": []}
{"competition_id": "22122", "kernels": [{"ref": "usharengaraju/moa-differential-privacy-using-tfprivacy-tpu", "kernel_id": "6147367"}, {"ref": "usharengaraju/tfagents-environment-policy-driver", "kernel_id": "7934748"}, {"ref": "jamesmcguigan/game-of-life-z3-constraint-satisfaction", "kernel_id": "11654465"}, {"ref": "jamesmcguigan/pytorch-game-of-life-first-attempt", "kernel_id": "11940204"}, {"ref": "jamesmcguigan/ouroboroslife-function-reversal-gan", "kernel_id": "11991820"}, {"ref": "jamesmcguigan/game-of-life-hashmap-solver", "kernel_id": "11691237"}, {"ref": "jamesmcguigan/geometric-invariant-hash-functions", "kernel_id": "11733116"}, {"ref": "jamesmcguigan/game-of-life-repeating-patterns", "kernel_id": "11789090"}, {"ref": "shams1/sample-submission", "kernel_id": "11517507"}, {"ref": "shams1/reversing-conways-game-of-life-tutorial", "kernel_id": "11517763"}, {"ref": "ebouteillon/conway-commit", "kernel_id": "11781603"}, {"ref": "docxian/game-of-life-first-glance", "kernel_id": "11487493"}, {"ref": "ulrich07/quick-neighborhood-fe-mlp-keras", "kernel_id": "11495736"}, {"ref": "ulrich07/sample-submission", "kernel_id": "11486981"}, {"ref": "ichabuddaeta/function-to-see-star-stop-together-single-id", "kernel_id": "11890746"}, {"ref": "maxjeblick/crgl2020-iterative-cnn-approach-with-postproces", "kernel_id": "11632795"}, {"ref": "parmarsuraj99/a-neural-cnn-game-of-life-with-keras", "kernel_id": "11618332"}, {"ref": "parmarsuraj99/a-neural-lstm-game-of-life-with-keras", "kernel_id": "11631279"}, {"ref": "yakuben/crgl2020-iterative-cnn-approach", "kernel_id": "11513987"}, {"ref": "yakuben/crgl-probability-extension-true-target-problem", "kernel_id": "11658012"}, {"ref": "wolfy73/hidden-alive-cells-evidence", "kernel_id": "11875416"}, {"ref": "wolfy73/cnn-mcts", "kernel_id": "11861076"}, {"ref": "nahumsa/reversing-using-neural-networks-keras", "kernel_id": "11546266"}, {"ref": "li325040229/the-game-of-life-reverse-with-random-forest", "kernel_id": "11499274"}, {"ref": "li325040229/the-game-of-life-display-of-cell-changes", "kernel_id": "11489996"}, {"ref": "li325040229/simple-lgb-model-model-using-only-0-6-test-data", "kernel_id": "11490687"}, {"ref": "dimartinot/game-of-life-eda", "kernel_id": "11613176"}, {"ref": "iicyan/japanese-conway-s-reverse-game-of-life", "kernel_id": "11703055"}, {"ref": "dijiswiki/display-game-of-life", "kernel_id": "11863645"}, {"ref": "desareca/game-of-life-genetic-algorithm-spanish", "kernel_id": "11962585"}, {"ref": "elvenmonk/pycosat-exploration", "kernel_id": "11962542"}, {"ref": "eladwar/conways", "kernel_id": "11488698"}, {"ref": "rohitiscute/cnn-conway-s-reverse-game-of-life-2020", "kernel_id": "11614110"}, {"ref": "seraphwedd18/application-of-gan-for-predicting-initial-state", "kernel_id": "11489373"}, {"ref": "arnimen5/eda-and-sample-submission", "kernel_id": "11487714"}, {"ref": "hasnainajmal281/iterative-cnn-approach", "kernel_id": "11549890"}, {"ref": "alirisheh/simple-cnn", "kernel_id": "11838329"}, {"ref": "shahraizanwar/bidirectional-lstm-approach", "kernel_id": "11544310"}, {"ref": "alifmahmud/quick-neighborhood-fe-mlp-keras", "kernel_id": "11592516"}, {"ref": "jamesmcguigan/game-of-life-image-segmentation-solver", "kernel_id": "12141564"}, {"ref": "jamesmcguigan/pytorch-game-of-life-hardcoding-network-weights", "kernel_id": "12097697"}, {"ref": "jamesmcguigan/its-easy-for-neural-networks-to-learn-game-of-life", "kernel_id": "12098810"}, {"ref": "jamesmcguigan/reverse-game-of-life-rnn", "kernel_id": "12289491"}, {"ref": "jamesmcguigan/reverse-game-of-life-inception-cnn", "kernel_id": "12241348"}, {"ref": "jamesmcguigan/game-of-life-random-forest", "kernel_id": "12869178"}, {"ref": "motivic/cnn-model-redux", "kernel_id": "12768963"}, {"ref": "motivic/reverse-forward-cnn", "kernel_id": "12887573"}, {"ref": "paulpidou/crgl2020-iterative-cnn-approach-with-keras", "kernel_id": "12275666"}, {"ref": "felypebastos/fast-creation-of-new-samples", "kernel_id": "12594985"}, {"ref": "wanghuan1108/conway-trial", "kernel_id": "12069571"}, {"ref": "robintwhite/cellular-automata-plot", "kernel_id": "12196429"}, {"ref": "robintwhite/iterative-cnn-in-tf-keras", "kernel_id": "12266838"}, {"ref": "wolfy73/crgol-rl", "kernel_id": "12842374"}, {"ref": "wolfy73/crgol-gan", "kernel_id": "12748137"}, {"ref": "wolfy73/igol-submission", "kernel_id": "12207689"}, {"ref": "akashsuper2000/genetic-algorithm-submission-kernel", "kernel_id": "12320368"}, {"ref": "akashsuper2000/crgl-probability-extension-true-target-problem", "kernel_id": "12143715"}, {"ref": "akashsuper2000/reverse-game-of-life-with-cnns", "kernel_id": "12167902"}, {"ref": "elvenmonk/mad-complete-5x5-board-analysis", "kernel_id": "12226671"}, {"ref": "elvenmonk/complete-4x4-board-analysis", "kernel_id": "12087767"}, {"ref": "mehrankazeminia/game-of-life-soliset-201", "kernel_id": "12793594"}, {"ref": "lakitha/game-of-life-code-keras-cnn-accuracy-84", "kernel_id": "12275798"}, {"ref": "lakitha/game-of-life-code-cnn-accuracy-84-submission", "kernel_id": "12485880"}, {"ref": "p77091122/the-game-of-life-data-handle", "kernel_id": "12930497"}, {"ref": "knstqq/notebook-prize-annealing-sat", "kernel_id": "13173972"}, {"ref": "ebouteillon/perfect-solve-of-puzzles-using-a-sat-solver", "kernel_id": "13205850"}, {"ref": "ebouteillon/ga-on-gpu-or-tools-on-cpu2", "kernel_id": "13139562"}, {"ref": "ebouteillon/top-10-with-first-genetic-algorithm-on-gpu", "kernel_id": "13184958"}, {"ref": "kenzoyan/pycosat-gol", "kernel_id": "13412540"}, {"ref": "wolfy73/simple-top-20-ish-sgd-approach", "kernel_id": "13195101"}, {"ref": "kotaiizuka/3rd-place-solution-part-0-015-only-using-sa", "kernel_id": "13240206"}, {"ref": "parkerhyde/cgl-pytorch", "kernel_id": "13139806"}, {"ref": "markuskarmann/3rd-place-solution-part", "kernel_id": "13230579"}, {"ref": "vinnieantunes/ouroboroslife-function-reversal-gan", "kernel_id": "13206207"}, {"ref": "lluis94/setting-treshold-for-major-accuracy", "kernel_id": "13157828"}, {"ref": "firozk/game-of-life-z3-constraint-satisfaction", "kernel_id": "13718159"}, {"ref": "p77091122/the-game-of-life-cnn-delta-5", "kernel_id": "13424006"}, {"ref": "p77091122/the-game-of-life-more-data", "kernel_id": "13697208"}, {"ref": "p77091122/the-game-of-life-cnn-delta-1", "kernel_id": "13658443"}, {"ref": "p77091122/the-game-of-life-cnn", "kernel_id": "13658702"}, {"ref": "p77091122/the-game-of-life-cnn-delta-3", "kernel_id": "13658158"}, {"ref": "p77091122/the-game-of-life-cnn-delta-2", "kernel_id": "13658368"}, {"ref": "p77091122/the-game-of-life-cnn-delta-4", "kernel_id": "13657944"}, {"ref": "cyrilbbbbb/understanding-the-problem-and-eda", "kernel_id": "16956338"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}]}
{"competition_id": "22123", "kernels": []}
{"competition_id": "22132", "kernels": []}
{"competition_id": "22136", "kernels": []}
{"competition_id": "22143", "kernels": []}
{"competition_id": "22154", "kernels": []}
{"competition_id": "22165", "kernels": [{"ref": "prakharprasad/south-german-credit-risk-prediction", "kernel_id": "11434287"}, {"ref": "rahulpawade/south-german-credit-prediction-kneighbors", "kernel_id": "11398114"}, {"ref": "ddatad/linear-classifier-svm-lr-from-scratch", "kernel_id": "29650596"}, {"ref": "abhishek529910/south-gernman-credit-prediction", "kernel_id": "33820355"}]}
{"competition_id": "22174", "kernels": []}
{"competition_id": "22184", "kernels": [{"ref": "raspstephan/nb1-linear-regression", "kernel_id": "11367509"}, {"ref": "raspstephan/nb2-random-forest", "kernel_id": "11418792"}, {"ref": "raspstephan/nb3-neural-networks", "kernel_id": "11430470"}, {"ref": "raspstephan/nb2-random-forest-solutions", "kernel_id": "12232284"}, {"ref": "raspstephan/nb3-neural-networks-solution", "kernel_id": "12232336"}, {"ref": "raspstephan/nb1-linear-regression-solutions", "kernel_id": "12164853"}]}
{"competition_id": "22193", "kernels": [{"ref": "nitishkumar03382/linear-reg-signal-and-noise", "kernel_id": "63160284"}, {"ref": "davidnkaha/linear-comp", "kernel_id": "64091833"}, {"ref": "akshaybapat04/ols-notebook", "kernel_id": "73703096"}]}
{"competition_id": "22194", "kernels": []}
{"competition_id": "22197", "kernels": []}
{"competition_id": "22210", "kernels": [{"ref": "vagifa/boston-housing-challenge-top-solution", "kernel_id": "11461339"}]}
{"competition_id": "22216", "kernels": []}
{"competition_id": "22220", "kernels": []}
{"competition_id": "22231", "kernels": []}
{"competition_id": "22242", "kernels": []}
{"competition_id": "22245", "kernels": []}
{"competition_id": "22246", "kernels": []}
{"competition_id": "22247", "kernels": []}
{"competition_id": "22254", "kernels": []}
{"competition_id": "22263", "kernels": []}
{"competition_id": "22265", "kernels": []}
{"competition_id": "22266", "kernels": []}
{"competition_id": "22283", "kernels": []}
{"competition_id": "22284", "kernels": [{"ref": "raspstephan/nb4-convolutional-neural-networks", "kernel_id": "11588885"}, {"ref": "raspstephan/nb5-transfer-learning-and-data-augmentation", "kernel_id": "11705969"}]}
{"competition_id": "22292", "kernels": []}
{"competition_id": "22304", "kernels": [{"ref": "plarmuseau/all-no-0-75", "kernel_id": "11521602"}]}
{"competition_id": "22306", "kernels": []}
{"competition_id": "22307", "kernels": [{"ref": "redwankarimsony/pulmonary-fibrosis-progression-eda-lung-segment", "kernel_id": "10556569"}, {"ref": "konradb/validation-scheme", "kernel_id": "11796945"}, {"ref": "richardepstein/load-gdcm-in-notebook-without-internet", "kernel_id": "11832900"}, {"ref": "richardepstein/pe-pipeline-create-tensorflow-with-dicom", "kernel_id": "11792255"}, {"ref": "spiroganas/preprocessing-medical-images-with-apache-beam", "kernel_id": "11736193"}, {"ref": "krishnakalyan3/pe-detection-eda-with-fastai", "kernel_id": "11679247"}, {"ref": "ronyroy/eda-tensorflow-2-tfio-for-dicom-images", "kernel_id": "11701400"}, {"ref": "susumuoda/rsna-str-cnn", "kernel_id": "11801805"}, {"ref": "avloss/eda-with-animation", "kernel_id": "11654950"}, {"ref": "super13579/ed-simple-method-of-lung-segmentation", "kernel_id": "11650079"}, {"ref": "allunia/pulmonary-dicom-preprocessing", "kernel_id": "11301778"}, {"ref": "paulorzp/sample-submission", "kernel_id": "11656870"}, {"ref": "paulorzp/mean-baseline", "kernel_id": "11747563"}, {"ref": "kozodoi/extract-meta-features-from-training-images", "kernel_id": "11857032"}, {"ref": "kozodoi/checking-the-label-consistency-requirements", "kernel_id": "11784568"}, {"ref": "kozodoi/lightgbm-on-meta-features", "kernel_id": "11860183"}, {"ref": "keremt/02-pe-image-model-baseline-ft-smart-sample", "kernel_id": "11932012"}, {"ref": "keremt/03-baseline-inference", "kernel_id": "11960870"}, {"ref": "rachillesf/rsna-str-3d-stacking-3d-plot-segmentation", "kernel_id": "11977402"}, {"ref": "isaienkov/pulmonary-embolism-detection-eda", "kernel_id": "11647795"}, {"ref": "jinkwon0425/hounsfield-unit-hu-interactive-exploration", "kernel_id": "11800764"}, {"ref": "sinchanbhattacharya/simple-eda", "kernel_id": "11702788"}, {"ref": "shams1/embolism-detection-eda", "kernel_id": "11647280"}, {"ref": "immune/pulmonary-embolism-eda", "kernel_id": "11816988"}, {"ref": "hoangnguyen719/eda-and-basic-information", "kernel_id": "11716799"}, {"ref": "avirdee/windowed-datablocks-fastai", "kernel_id": "11908690"}, {"ref": "orkatz2/pulmonary-embolism-pytorch-train", "kernel_id": "11871158"}, {"ref": "orkatz2/resnext-pulmonary-embolism-inference", "kernel_id": "11913896"}, {"ref": "rezwan249/pe-detection-data-visualization-exploration", "kernel_id": "11848221"}, {"ref": "rezwan249/keras-model-creation-and-pe-detection-submission", "kernel_id": "11796169"}, {"ref": "rezwan249/keras-model-creation-and-pe-detection", "kernel_id": "11721387"}, {"ref": "wfwiggins203/exploring-the-dicom-metadata-images-with-fast-ai", "kernel_id": "11707601"}, {"ref": "wfwiggins203/extracting-dicom-metadata-labels-with-fast-ai", "kernel_id": "11693552"}, {"ref": "returnofsputnik/pe-pipeline-create-tensorflow-with-dicom", "kernel_id": "11806305"}, {"ref": "returnofsputnik/dicom-100-700-pt1", "kernel_id": "11798349"}, {"ref": "khyeh0719/stratified-validation-strategy", "kernel_id": "11881581"}, {"ref": "khyeh0719/0929-updated-rsna-competition-metric", "kernel_id": "11923506"}, {"ref": "dipuk0506/pulmonary-embolism-saving-features", "kernel_id": "11896080"}, {"ref": "anthracene/host-confirmed-label-consistency-check", "kernel_id": "11905988"}, {"ref": "teeyee314/rsna-pe-metadata-with-multithreading", "kernel_id": "11661309"}, {"ref": "teeyee314/pulmonary-embolism-create-tfrecords", "kernel_id": "11871860"}, {"ref": "bhagirathl/bhagirathl-rsna-str-pulmonary-embolism-detection", "kernel_id": "11687802"}, {"ref": "spacelx/2020-pe-preprocessing-train-data", "kernel_id": "11919025"}, {"ref": "spacelx/2020-pe-training-with-pytorch", "kernel_id": "11918129"}, {"ref": "spacelx/2020-pe-preprocessing-train-table", "kernel_id": "11843401"}, {"ref": "yashchoudhary/understanding-pulmonary-embolism-eda-prep", "kernel_id": "11667410"}, {"ref": "sarques/rsna-str-ped-starter-eda", "kernel_id": "11646721"}, {"ref": "nitindatta/pulmonary-embolism-dicom-preprocessing-eda", "kernel_id": "11658407"}, {"ref": "jagdmir/extract-meta-data-from-dicom-files", "kernel_id": "11685583"}, {"ref": "elbanan/rsna2020-pe-extreme-eda", "kernel_id": "11659061"}, {"ref": "swarajshinde/rsna-pulmonary-embolism-analysis-eda-meta-data", "kernel_id": "11699899"}, {"ref": "itsuki9180/using-tpu-pe-detection-inference-phase", "kernel_id": "11912489"}, {"ref": "itsuki9180/using-tpu-pe-detection-train-phase", "kernel_id": "11997965"}, {"ref": "itsuki9180/create-tfrecords-for-tpu", "kernel_id": "11998114"}, {"ref": "brenno345/rsna-str-3d-stacking-3d-plot-segmentation", "kernel_id": "11988016"}, {"ref": "thehandler/medicbook", "kernel_id": "11679543"}, {"ref": "ryofuji/dicom", "kernel_id": "11719791"}, {"ref": "alibaba19/pulmonary-embolism-dicom-eda-segmentation-expo", "kernel_id": "11691610"}, {"ref": "lisosia/mean-baseline-fixed", "kernel_id": "11821783"}, {"ref": "sumitai/eda-rsna-str-pulmonary-embolism-detection", "kernel_id": "11673094"}, {"ref": "senabay/rsna-pe", "kernel_id": "11822944"}, {"ref": "redwankarimsony/rsna-str-pulmonary-embolism-dummy-sub", "kernel_id": "11648638"}, {"ref": "redwankarimsony/rsna-str-pulmonary-embolism-eda-domain-info", "kernel_id": "11645859"}, {"ref": "redwankarimsony/ct-scans-dicom-files-windowing-explained", "kernel_id": "11663849"}, {"ref": "redwankarimsony/rsna-str-3d-stacking-3d-plot-segmentation", "kernel_id": "11674129"}, {"ref": "redwankarimsony/rsna-str-pe-gradient-sigmoid-windowing", "kernel_id": "11669187"}, {"ref": "redwankarimsony/rsna-str-dicom-gif-jpeg-npy", "kernel_id": "11691185"}, {"ref": "redwankarimsony/visualizing-and-analyzing-dicoms-in-python", "kernel_id": "11759131"}, {"ref": "seraphwedd18/pe-detection-with-keras-model-creation", "kernel_id": "11665462"}, {"ref": "smerllo/deep-learning-approach-for-lung-segmentation-unet", "kernel_id": "11755175"}, {"ref": "iammanpreet/pe-detection-using-pytorch-2", "kernel_id": "11790231"}, {"ref": "iammanpreet/pe-detection-using-pytorch", "kernel_id": "11721792"}, {"ref": "heyytanay/rnsa-starter-notebook-animation", "kernel_id": "11646967"}, {"ref": "andradaolteanu/pulmonary-embolism-detect-eda-dicom-metadata", "kernel_id": "11805915"}, {"ref": "catadanna/rsna-process", "kernel_id": "11772761"}, {"ref": "ajaykumar7778/create-3d-training-data", "kernel_id": "11676726"}, {"ref": "byungjin0826/read-dcm-file", "kernel_id": "11650021"}, {"ref": "trikialaaa/pulmonary-embolism-eda-beginner-friendly", "kernel_id": "11654930"}, {"ref": "aniketbiprojit/files-exploration-rsna-str-pe", "kernel_id": "11994846"}, {"ref": "wrrosa/advanced-dicom-ct-3d-visualizations-with-vtk", "kernel_id": "11852731"}, {"ref": "omarkhald/pe-detection", "kernel_id": "11694754"}, {"ref": "tikoboss/osic-pulmonary-fibrosis-progression-tko-okt", "kernel_id": "11729965"}, {"ref": "nxrprime/embolism-detection-eda", "kernel_id": "11644405"}, {"ref": "aadhavvignesh/making-use-of-ct-scans-pulmonary-embolism", "kernel_id": "11646070"}, {"ref": "blueturtle/rsna1-baseline-resnet50-model", "kernel_id": "11936900"}, {"ref": "tomonorisasaki/simple-eda", "kernel_id": "11699673"}, {"ref": "prk007/image-data-processing-helper-functions", "kernel_id": "11652888"}, {"ref": "prk007/insights-from-tabular-and-image-data", "kernel_id": "11646424"}, {"ref": "kingofdaydream/rsna-ped-show-dicom", "kernel_id": "11947316"}, {"ref": "penchalaiah123/pe-detection-eda", "kernel_id": "11692880"}, {"ref": "penchalaiah123/my-submission-with-mean-baseline-and-eda", "kernel_id": "11824336"}, {"ref": "marcosnovaes/managing-large-datasets-with-tfrecords-on-gcp", "kernel_id": "11794724"}, {"ref": "marcosnovaes/building-a-tfrecord-dataset", "kernel_id": "11890805"}, {"ref": "marcosnovaes/distributed-training-for-large-datasets-with-tpus", "kernel_id": "11890870"}, {"ref": "imnishantg/stage1-studymodel", "kernel_id": "12460128"}, {"ref": "imnishantg/stage2-prediction", "kernel_id": "12489964"}, {"ref": "imnishantg/fastai-model-inference-pipeline", "kernel_id": "12239073"}, {"ref": "imnishantg/download-subset-data", "kernel_id": "12038756"}, {"ref": "imnishantg/fastai-model-training-pipeline", "kernel_id": "12115591"}, {"ref": "titericz/multithread-fast-dicom-metadata-read", "kernel_id": "12401191"}, {"ref": "ronyroy/pytorch-lightning-with-tpu-rsna-r1", "kernel_id": "12109466"}, {"ref": "philculliton/rsna-pe-tfrecords-loading", "kernel_id": "12035725"}, {"ref": "darraghdog/rsnastr2020-prediction", "kernel_id": "12614363"}, {"ref": "darraghdog/rsna512-effnetb5-fold-all-exam-xfrmr-validated", "kernel_id": "12506155"}, {"ref": "avloss/transform-to-hu-visualised", "kernel_id": "12352845"}, {"ref": "vaillant/rsna-str-pe-submission", "kernel_id": "12341142"}, {"ref": "snooptosh/bronze-medal-using-tta-pe", "kernel_id": "12378269"}, {"ref": "wowfattie/notebook6fff7ff27a", "kernel_id": "12307482"}, {"ref": "zangyangguang/fork-of-cnn-gru-baseline-stage2-train-inference", "kernel_id": "12475794"}, {"ref": "keremt/12th-place-rsna-pe-inference", "kernel_id": "12385172"}, {"ref": "keremt/final-inference-2d-3d-sequence-softmax", "kernel_id": "12502627"}, {"ref": "keremt/04-generate-sequences", "kernel_id": "12018180"}, {"ref": "keremt/05-sequence-model", "kernel_id": "12099524"}, {"ref": "keremt/06-inference-multi-output", "kernel_id": "12176157"}, {"ref": "kamaljain77/rsna-str-pulmonary-embolism-detection-v2", "kernel_id": "12221583"}, {"ref": "rturley/pulmonary-embolism-inference", "kernel_id": "12473727"}, {"ref": "robikscube/b0b6-cnn-gru-baseline-stage2-train-inference", "kernel_id": "12403265"}, {"ref": "cenglish/torch-r", "kernel_id": "12113673"}, {"ref": "sumityadav/create-tfrecords-for-tpu", "kernel_id": "12306647"}, {"ref": "osciiart/baseline-with-no-image", "kernel_id": "12168136"}, {"ref": "osciiart/rsna2020-final-sub2", "kernel_id": "12493678"}, {"ref": "osciiart/rsna2020-final-sub", "kernel_id": "12488419"}, {"ref": "osciiart/rsna2020-6th-solution-demo", "kernel_id": "12761865"}, {"ref": "superbo/rsna-pe-submission-notebook", "kernel_id": "12031958"}, {"ref": "orkatz2/cnn-lstm-pytorch-train", "kernel_id": "12011625"}, {"ref": "orkatz2/fork-of-efficientnet-lstm-pe-3d-dc8720", "kernel_id": "12478595"}, {"ref": "shubham47/cnn-1", "kernel_id": "12502087"}, {"ref": "boliu0/monai-3d-cnn-inference", "kernel_id": "12246095"}, {"ref": "boliu0/monai-3d-cnn-training", "kernel_id": "12260889"}, {"ref": "shimacos/rsna2020-inference-final", "kernel_id": "12494179"}, {"ref": "khyeh0719/cnn-stage1-train", "kernel_id": "12374679"}, {"ref": "khyeh0719/cnn-stage1-train-multilabel", "kernel_id": "12376477"}, {"ref": "khyeh0719/cnn-gru-baseline-stage2-train-inference", "kernel_id": "12359774"}, {"ref": "jaysenthil01/pe-detector", "kernel_id": "12035404"}, {"ref": "kingstying/rsna-ped-check-metric", "kernel_id": "12036864"}, {"ref": "together/create-tfrecords-dataset", "kernel_id": "12035793"}, {"ref": "yuval6967/rsna2020-inference-2nd-op-final", "kernel_id": "12730835"}, {"ref": "kanbehmw/inference-pe-transformer-model", "kernel_id": "12100746"}, {"ref": "kanbehmw/train-pe-transformer-model", "kernel_id": "12093850"}, {"ref": "kanbehmw/pe-detection-post-processing", "kernel_id": "12189465"}, {"ref": "yeeseng/rsna-pe-submission-final-pydicom", "kernel_id": "12498312"}, {"ref": "moewie94/rsna-2020-inference", "kernel_id": "12489619"}, {"ref": "fanbyprinciple/fastai-pipeline", "kernel_id": "12326835"}, {"ref": "aksg87/dicom-sequence-selection-and-sort", "kernel_id": "12180171"}, {"ref": "dwchen/how-to-install-nvidia-apex-in-notebook", "kernel_id": "12353220"}, {"ref": "kamlesh577/eda-rsna-str-pulmonary-embolism-detection", "kernel_id": "12233529"}, {"ref": "akashsuper2000/baseline-with-no-image", "kernel_id": "12273840"}, {"ref": "akashsuper2000/monai-3d-cnn-inference", "kernel_id": "12273848"}, {"ref": "akashsuper2000/mean-baseline", "kernel_id": "12019129"}, {"ref": "akashsuper2000/cnn-gru-baseline-stage2-train-inference", "kernel_id": "12387205"}, {"ref": "jaideepvalani/useful-eda-for-beginners-rsna-embolism", "kernel_id": "12164109"}, {"ref": "gopidurgaprasad/rsna-create-dataset-0", "kernel_id": "12253624"}, {"ref": "theoviel/pe-inference-2", "kernel_id": "12503424"}, {"ref": "carolenebertoldi/slices-rsna-str-pulmonary-embolism-detection", "kernel_id": "12447946"}, {"ref": "c7934597/cnn-gru-baseline-stage2-train-inference", "kernel_id": "12390577"}, {"ref": "jedemdasseine/fork-of-fork-of-empty-kernel", "kernel_id": "12290681"}, {"ref": "kazumax0720/rsna-str-pulmonary-embolism-detection-inference", "kernel_id": "12604202"}, {"ref": "jothisethu/pe-detection-using-deep-learning-mobilenetv2", "kernel_id": "12320559"}, {"ref": "sparmar/rsna-str-pulmonary-embolism-detection", "kernel_id": "12162964"}, {"ref": "aikhmelnytskyy/cnn-gru-baseline-saving-time-and-gpu", "kernel_id": "12461792"}, {"ref": "kmldas/3d-interactive-dicom-viz-pulmonary-embolism", "kernel_id": "12182457"}, {"ref": "kmldas/pulmonary-embolism-eda-viz-using-fastai", "kernel_id": "12174198"}, {"ref": "lisosia/consistency-gdcm-b3-monai-pos-3f-ens", "kernel_id": "12510561"}, {"ref": "berniechou/submission-v3", "kernel_id": "12135743"}, {"ref": "cascadenite/tpu-pytorch-effnet-jpegs", "kernel_id": "12325573"}, {"ref": "cascadenite/pytorch-effnet-jpegs", "kernel_id": "12136018"}, {"ref": "maunish/rsna-super-cool-eda-and-pytorch-baseline-train", "kernel_id": "12087891"}, {"ref": "maunish/rsna-pytorch-baseline-inference", "kernel_id": "12164261"}, {"ref": "sergei416/mean-baseline-submission", "kernel_id": "12071978"}, {"ref": "sergei416/label-consistency-check-for-mean-baseline", "kernel_id": "12151759"}, {"ref": "senabay/rsna-images", "kernel_id": "12130641"}, {"ref": "senabay/rsna-train", "kernel_id": "12131186"}, {"ref": "redwankarimsony/cnn-gru-baseline-stage2-train-inference", "kernel_id": "12441817"}, {"ref": "jagands/base-model-tensorflow-mirror-statergy-test-run", "kernel_id": "12054135"}, {"ref": "jagands/rsna-dataset-eda", "kernel_id": "12028802"}, {"ref": "rythian47/vision-transformer-goodbye-cnn-training", "kernel_id": "12371089"}, {"ref": "vineeth1999/never-use-this", "kernel_id": "12436891"}, {"ref": "saleke10/notebook-rsna-1tb", "kernel_id": "12192249"}, {"ref": "pranav2103/major-final-code-with-algorithm", "kernel_id": "12266215"}, {"ref": "pranav2103/major-preprosseing", "kernel_id": "12224411"}, {"ref": "catadanna/rsna-dicom-simple-segmentation", "kernel_id": "12403917"}, {"ref": "cordmaur/fastai2-medical-simple-training", "kernel_id": "12049508"}, {"ref": "abhimahule/practice-submission", "kernel_id": "12212839"}, {"ref": "aniketbiprojit/multi-unet", "kernel_id": "12657643"}, {"ref": "gyanendradas/monai-3d-cnn-inference", "kernel_id": "12497735"}, {"ref": "thanhstephen/pe-detection-with-keras-model-creation", "kernel_id": "12230226"}, {"ref": "pulakkantibhowmick/pulmonary-emobolism-eda", "kernel_id": "12042943"}, {"ref": "alexandersoare/memory-leak-example", "kernel_id": "12453512"}, {"ref": "neurallmonk/fast-baseline-with-tta-after-gru-exp1", "kernel_id": "12492094"}, {"ref": "javagarm/rsna-str-baseline", "kernel_id": "12253849"}, {"ref": "stanleyjzheng/fast-baseline-with-tta-after-gru-8e13cc", "kernel_id": "12480165"}, {"ref": "stanleyjzheng/fast-baseline-with-tta", "kernel_id": "12426222"}, {"ref": "mariusschmidtmengin/conv3d-for-ct-scan-analysis", "kernel_id": "12095330"}, {"ref": "akulasuryaprakash/meta-data-to-csv-file", "kernel_id": "12294200"}, {"ref": "akulasuryaprakash/dicom-image-classification", "kernel_id": "12389180"}, {"ref": "bharathpothuluru/fork-of-notebookd32c50868e-5fd4da", "kernel_id": "12224669"}, {"ref": "midnight907/notebook2dde6c7617", "kernel_id": "12680377"}, {"ref": "dipuk0506/pulmonary-embolism-features-alexnet", "kernel_id": "13412974"}, {"ref": "dipuk0506/pulmonary-embolism-features-densenet201", "kernel_id": "13417858"}, {"ref": "dipuk0506/pulmonary-embolism-features-resnet50", "kernel_id": "13392352"}, {"ref": "omidchehrehgosha/pe-detection-keras", "kernel_id": "13348710"}, {"ref": "arturorey00/monai-3d-cnn-inference", "kernel_id": "13588150"}, {"ref": "arturorey00/pe-detection-with-keras-model-creation", "kernel_id": "13588716"}, {"ref": "bryanb/vinbigdata-chest-x-ray-eda-fusing-boxes", "kernel_id": "14376111"}, {"ref": "poonemk/pe-detection-with-keras-model-creation", "kernel_id": "14217186"}, {"ref": "tasnimnishatislam/download-the-datas", "kernel_id": "16679256"}, {"ref": "kapil7/pe-detection-with-keras-model-creation", "kernel_id": "16718212"}, {"ref": "devashreepatel/pe-detection-with-keras-model-creation", "kernel_id": "16746476"}, {"ref": "ishwor2048/level-1-on-siim-fisabio-rsna-covid-19-detection", "kernel_id": "17070130"}, {"ref": "ambitiousf/fork-of-efficientnet-lstm-pe-3d-ambitiousf", "kernel_id": "17184165"}, {"ref": "atharvagundawar/pe-detection-with-keras-model-creation", "kernel_id": "18264909"}, {"ref": "josecarlos117/jose-carlos-modelo", "kernel_id": "18693480"}, {"ref": "prasundatta/rsna-str-pulmonary-embolism-eda", "kernel_id": "22722879"}, {"ref": "joaopfonseca/label-embedding-baseline-pe-detection", "kernel_id": "22943868"}, {"ref": "habibmrad1983/advanced-dicom-ct-3d-visualizations-with-vtk", "kernel_id": "23440966"}, {"ref": "kagglelyy/rsna-2020-inference", "kernel_id": "23411427"}, {"ref": "heewonchung92/code1-rsna-pe", "kernel_id": "23582234"}, {"ref": "mafaldamalafaya/sequential-pe-detection", "kernel_id": "23592712"}, {"ref": "pedromatos14/3d-cnn-for-rv-lv-ratio-lt-1", "kernel_id": "24241660"}, {"ref": "medahmedkrichen/pulmonary2", "kernel_id": "25759071"}, {"ref": "weitsanouo/testouo", "kernel_id": "25431014"}, {"ref": "medadkrichen/pulmonary-classification", "kernel_id": "25814972"}, {"ref": "georoaa/pe-detection-with-keras-model-creation", "kernel_id": "27876010"}, {"ref": "omarko/notebookc04c150a18", "kernel_id": "27605928"}, {"ref": "zyulin/ct-scans-dicom-files-windowing-explained", "kernel_id": "27887818"}, {"ref": "diorzhey/pulmonary-classification", "kernel_id": "28747613"}, {"ref": "ymm522/pulmonary-embolism-detection-eda", "kernel_id": "29958117"}, {"ref": "yycyyca/12345", "kernel_id": "29710393"}, {"ref": "ivanluquedeltoro/get-pe-subset", "kernel_id": "34948497"}, {"ref": "saudaminikhare/rsna-ctpe-classification", "kernel_id": "36122538"}, {"ref": "pablopalacios23/detecci-n-de-embolismos-pulmonares-5f230e", "kernel_id": "40072767"}, {"ref": "pablopalacios23/transfer-learning-resnet50-otros", "kernel_id": "40586974"}, {"ref": "pablopalacios23/transfer-learning-vgg19-sobel", "kernel_id": "40601832"}, {"ref": "pablopalacioslpez/transfer-learning", "kernel_id": "40333715"}, {"ref": "pablopalacioslpez/transfer-learning-sexception", "kernel_id": "40359272"}, {"ref": "pablopalacioslpez/transfer-learning-vgg19", "kernel_id": "40425179"}, {"ref": "pablopalacioslpez/data-augmentation-batchnormalization-and-drop-out", "kernel_id": "40394398"}, {"ref": "pablopalacioslpez/model-creation-batchnormalization-and-dropout", "kernel_id": "40290480"}, {"ref": "pablopalacios2001/model-creation-simple", "kernel_id": "40238699"}, {"ref": "pablopalacios2001/model-creation", "kernel_id": "40211931"}, {"ref": "pablopalacios2001/transfer-learning-resnet50-sobelfilter", "kernel_id": "40483319"}, {"ref": "pablopalacios2001/transfer-learning-xgboost", "kernel_id": "40479712"}, {"ref": "pablopalacios2001/transfer-learning-resnet50", "kernel_id": "40463974"}, {"ref": "pablopalacios2001/detecci-n-de-embolias-pulmonares-eda", "kernel_id": "40873820"}, {"ref": "larikdm/notebook8c3ea10707", "kernel_id": "42537387"}, {"ref": "pezhmansamadi/rsna-p4-760", "kernel_id": "47833459"}, {"ref": "mahmoudalhosiny/pulmonary-embolism-detection", "kernel_id": "50346910"}, {"ref": "hankoo/rsna-str-pulmonary-embolism-eda", "kernel_id": "51634393"}, {"ref": "hankoo/detecci-n-de-embolias-pulmonares-eda", "kernel_id": "52996276"}, {"ref": "hankoo/transfer-learning-xgboost", "kernel_id": "53048583"}, {"ref": "joanpau/pulmonary-embolism-detection", "kernel_id": "53197318"}, {"ref": "benjaminmapesa/pulmonary-embolism-detection-0f07f2", "kernel_id": "60039276"}, {"ref": "ehsanaji/pulmonaryembolismeh", "kernel_id": "66631159"}, {"ref": "thominator369/rsnapedetection", "kernel_id": "66962785"}, {"ref": "ehsanalaji/pulmonaryembolismeh", "kernel_id": "67574284"}, {"ref": "rebaihabib/pulmonary-dicom-preprocessing", "kernel_id": "72827098"}, {"ref": "kameltounsi/rsna-2020-inference", "kernel_id": "81670597"}, {"ref": "kameltounsi/rsna-finaal", "kernel_id": "81525126"}, {"ref": "benfilalimouad/pulmonary-embolism-detection", "kernel_id": "81863599"}, {"ref": "virgilstokes/visualizing-and-analyzing-dicoms-in-python", "kernel_id": "96717148"}, {"ref": "jishnuks17/pulmonaryembolismeh", "kernel_id": "109589860"}, {"ref": "jishnuks17/pulmonary-dicom-preprocessing", "kernel_id": "109669890"}, {"ref": "suhanigupta100/pe-model", "kernel_id": "109237011"}, {"ref": "suhanigupta100/notebookefa6669e44", "kernel_id": "109031735"}, {"ref": "hansajpatidar2/team-gryfindor-mv", "kernel_id": "114344039"}]}
{"competition_id": "22338", "kernels": []}
{"competition_id": "22350", "kernels": [{"ref": "dayeonsung/notebookda117e3f1a", "kernel_id": "11638954"}, {"ref": "jjangjjae/notebook1b0aed263d", "kernel_id": "11589996"}, {"ref": "jjangjjae/notebook80c842465e", "kernel_id": "11604459"}, {"ref": "choiyounyoung/sample1", "kernel_id": "11529233"}, {"ref": "yeonns2/notebook5e9d34225f", "kernel_id": "11589110"}, {"ref": "rakhyunchoi/notebook8626d7ec20", "kernel_id": "11629531"}]}
{"competition_id": "22351", "kernels": [{"ref": "coolfamily77/14010974", "kernel_id": "11560319"}, {"ref": "seraaaa/15010796", "kernel_id": "11618667"}, {"ref": "kwanyongcho/15011120", "kernel_id": "11610044"}, {"ref": "yukyungchoi/notebookffe5509a2d", "kernel_id": "11521328"}, {"ref": "wcg1993/19011818", "kernel_id": "11583844"}, {"ref": "leejinsoo/18011821", "kernel_id": "11652123"}, {"ref": "minzzzzi/18011809", "kernel_id": "11529960"}, {"ref": "yujinhwang/18011756", "kernel_id": "11530471"}, {"ref": "hanilevenshtein/17011807", "kernel_id": "11614987"}, {"ref": "sumyeongjang/18011790-w1p2", "kernel_id": "11632908"}, {"ref": "magogu/17011797", "kernel_id": "11572587"}, {"ref": "yoonsikjo/18011862", "kernel_id": "11534490"}, {"ref": "jeonginhee/17011851", "kernel_id": "11559067"}, {"ref": "mingxoxo/18011793-w1p2", "kernel_id": "11531409"}, {"ref": "suzykwag/18011797-w1p2-notebook", "kernel_id": "11550704"}, {"ref": "hyeinhailey/17011869", "kernel_id": "11572692"}, {"ref": "dojinkyung18011765/18011765-1", "kernel_id": "11535623"}, {"ref": "joeunseo29/222-18011884", "kernel_id": "11532063"}, {"ref": "minjiyoung/notebooke3a74e0086", "kernel_id": "11651949"}, {"ref": "pooky0124/18011803-w1p2", "kernel_id": "11666996"}, {"ref": "pooky0124/18011803", "kernel_id": "11590104"}, {"ref": "liv0vil/18011817", "kernel_id": "11533544"}, {"ref": "youngminchoi/18011863", "kernel_id": "11584727"}, {"ref": "jungeunkim17011857/17011857", "kernel_id": "11627749"}, {"ref": "lsumin/18011762", "kernel_id": "11577799"}, {"ref": "dayeonsung/notebookdb709ec9ec", "kernel_id": "11685528"}, {"ref": "leeyuuuri/18011760", "kernel_id": "11572355"}, {"ref": "forstudydday/1801175-9", "kernel_id": "11616920"}, {"ref": "hyeongjun0117/14011541", "kernel_id": "11530527"}, {"ref": "euneun000/18011710", "kernel_id": "11537600"}, {"ref": "seokugwak/15011495", "kernel_id": "11539055"}, {"ref": "honggoo/notebook988a0e7509", "kernel_id": "11654090"}, {"ref": "dngdae/15011510", "kernel_id": "11626408"}, {"ref": "hahyuncho/16010987", "kernel_id": "11668920"}, {"ref": "parksehwan/16011146", "kernel_id": "11628681"}, {"ref": "suyeong130/notebook3bcb9ee05d", "kernel_id": "11647053"}, {"ref": "youngwoo013/15011110", "kernel_id": "11649025"}, {"ref": "yusikjo/notebook929c874ebd", "kernel_id": "13496340"}, {"ref": "leeminyoung/notebooka1198946ec", "kernel_id": "13829035"}]}
{"competition_id": "22353", "kernels": []}
{"competition_id": "22355", "kernels": []}
{"competition_id": "22359", "kernels": [{"ref": "danofer/wids-21-tabnet-simple-baseline", "kernel_id": "14081020"}, {"ref": "danofer/wids21-adversarial-validation", "kernel_id": "14139467"}, {"ref": "ankitmalik/simple-neural-net-0-84706", "kernel_id": "14130098"}, {"ref": "ankitmalik/exploration-and-missing-values", "kernel_id": "14130497"}, {"ref": "celniker/wids2021-initial-eda-and-tuned-lgbm-0-86293", "kernel_id": "14688867"}, {"ref": "aiswaryaramachandran/predicting-diabetes-using-lightgbm-and-shap", "kernel_id": "14607654"}, {"ref": "usharengaraju/widsdatathon2021-catboost-starter", "kernel_id": "14050867"}, {"ref": "parulpandey/starter-code-with-baseline", "kernel_id": "14074814"}, {"ref": "iprogrammer/wids-maastricht-for-beginners", "kernel_id": "14644999"}, {"ref": "paolagasp/wids-eda-building-models-save", "kernel_id": "14390626"}, {"ref": "uozcan12/lightgbm-encoding-0-8581", "kernel_id": "14156768"}, {"ref": "rsesha/wids-score-85-5-using-featurewiz-auto-viml", "kernel_id": "14377240"}, {"ref": "elrayah/wids-datamation-2021-diabetics-prediction", "kernel_id": "14855597"}, {"ref": "krrai77/prediction-using-lightgbm", "kernel_id": "14139197"}, {"ref": "krrai77/extensive-eda-for-model-prediction", "kernel_id": "14100250"}, {"ref": "msafi04/wids-diabetes-prediction-eda", "kernel_id": "14485239"}, {"ref": "msafi04/wids-diabetes-lgbm-baseline", "kernel_id": "14509850"}, {"ref": "kritidoneria/beginner-wids21-feature-engineering-starter", "kernel_id": "14126001"}, {"ref": "kritidoneria/beginner-automl-wids21-eda-starter", "kernel_id": "14091267"}, {"ref": "amr009/tabnet-simple-baseline", "kernel_id": "14069068"}, {"ref": "akshitab/0-85456-gpu-xgb-grid-search", "kernel_id": "14099043"}, {"ref": "thedatabeast/wids-2021-tutorial", "kernel_id": "14235669"}, {"ref": "pashupatigupta/hr-analytics-hyper-parameter-tuning-techniques", "kernel_id": "14262640"}, {"ref": "pashupatigupta/introduction-to-ensembling-techniques", "kernel_id": "14847196"}, {"ref": "nasere/wids2021-using-lightgbm-encoding", "kernel_id": "14250860"}, {"ref": "darynarr/optimized-lgbm-wids2021", "kernel_id": "14270663"}, {"ref": "kainsama/lgbm-wids2021-v0-1-1", "kernel_id": "14426553"}, {"ref": "kooaslansefat/wids-2021-av-bo-catboost-pseudo-labeling", "kernel_id": "14523414"}, {"ref": "changsun1025/wids-maastricht-for-beginners", "kernel_id": "14482514"}, {"ref": "tahminashoaib86/wids-datathon-2021-eda-ml", "kernel_id": "14735468"}, {"ref": "salmaeng/statistical-analysis-eda", "kernel_id": "14453983"}, {"ref": "salmaeng/data-processing-cat-exploring", "kernel_id": "14601254"}, {"ref": "darknez/nulls-analysis-and-eda", "kernel_id": "14473560"}, {"ref": "noviapermatasari4/shafvia-via-modelling", "kernel_id": "14522388"}, {"ref": "hyperbeam/1d-cnn-classifier", "kernel_id": "14354835"}, {"ref": "hyperbeam/starter-s-notebook-with-lgbm-classifier", "kernel_id": "14229583"}, {"ref": "hyperbeam/starter-s-notebook-with-neural-network-classifier", "kernel_id": "14269156"}, {"ref": "saurabhshahane/data-is-your-weapon", "kernel_id": "14078138"}, {"ref": "shyambhu/wids-datathon-intro-and-analysis", "kernel_id": "14140470"}, {"ref": "siavrez/2020fatures", "kernel_id": "14896612"}, {"ref": "bogdanbaraban/cnn-wids-inference", "kernel_id": "14103083"}, {"ref": "khanalkiran/wids-xgboost-pca", "kernel_id": "14068674"}, {"ref": "rethavathij/diabetes-model", "kernel_id": "14924575"}, {"ref": "schopenhacker75/lgb-frequency-encoding-target-encoding", "kernel_id": "14618716"}, {"ref": "mpwolke/hematocrit-wids-2021", "kernel_id": "14091184"}, {"ref": "mpwolke/wdd-pregnancy-in-wids", "kernel_id": "14092813"}, {"ref": "mpwolke/diabetes-mellitus-klib", "kernel_id": "14196778"}, {"ref": "mpwolke/pycomp-wids", "kernel_id": "14105290"}, {"ref": "mpwolke/pycomp-pcos-diabetes", "kernel_id": "14113789"}, {"ref": "mpwolke/diabetes-women-k-means", "kernel_id": "14131579"}, {"ref": "mpwolke/diabetes-dataprep-by-sfu-db-lab", "kernel_id": "14673548"}, {"ref": "adejumobi661/notebook7ca038e507", "kernel_id": "14177927"}, {"ref": "ifeomaozo/ifeomaozo-wids-2021", "kernel_id": "14721496"}, {"ref": "ruchi798/wids-datathon-2021-rapids-xgb-lightgbm", "kernel_id": "14051159"}, {"ref": "obougacha/wids2021-h2o-automl", "kernel_id": "14820951"}, {"ref": "danielefm/wids-datathon-2021-eda", "kernel_id": "14255583"}, {"ref": "pfarzana1313/wids-eda-trail1", "kernel_id": "14718981"}, {"ref": "andradaolteanu/wids-datathon-rapids-ensembles-w-b", "kernel_id": "14168083"}, {"ref": "louise2001/rapids-complete-gpu-pipeline-for-beginners", "kernel_id": "14589066"}, {"ref": "sreejaej/eda-prediction", "kernel_id": "14338126"}, {"ref": "vkp096/noob-notebook", "kernel_id": "14848446"}, {"ref": "rashmiranu/wids-datathon-eda-model-building", "kernel_id": "14240355"}, {"ref": "reverie5/pycaret-ml-models-comparison-blends", "kernel_id": "14200125"}, {"ref": "reverie5/wids-2021-fastai-v2-starter-using-deeplearning", "kernel_id": "14143522"}, {"ref": "reverie5/statistical-analysis-univariate-multivariate", "kernel_id": "14074520"}, {"ref": "cosmosankur/xgboost-classifier", "kernel_id": "14170476"}, {"ref": "cosmosankur/diabetes-and-ethnicity-day3", "kernel_id": "14091595"}, {"ref": "iamleonie/wids-datathon-2021-diabetes-detection", "kernel_id": "14120549"}, {"ref": "manideepteambvrit/it-group", "kernel_id": "14715391"}, {"ref": "naliniparimi/step-by-step-eda-rf-cnn-xgb", "kernel_id": "14357652"}, {"ref": "akan27/wids-datathon-2021-akanksha", "kernel_id": "14297771"}, {"ref": "sentrankim/wids-datathon-2021-rapids-xgb-lightgbm", "kernel_id": "14621399"}, {"ref": "letianyu/wids-2021-notebook", "kernel_id": "14277577"}, {"ref": "dkaing/tips-tricks", "kernel_id": "14453319"}, {"ref": "shallymani/exploratory-data-analysis-eda-for-newbies", "kernel_id": "14766187"}, {"ref": "kalilurrahman/wids-datathon-kr-submission-file", "kernel_id": "14331887"}, {"ref": "praveenmaripeti/wids-datathon-2021-challenge-eda-model-submission", "kernel_id": "14075139"}, {"ref": "itokianarafidinarivo/wids-datathon-2021-target-analysis", "kernel_id": "14546342"}, {"ref": "nikitakirpa/wids-2021-nickkirpa", "kernel_id": "14585183"}, {"ref": "debarshichanda/imputation-techniques-handle-missing-values", "kernel_id": "14208867"}, {"ref": "vaishnavipatil4848/wids-datathon-2021-diabetes-analysis", "kernel_id": "14541849"}, {"ref": "atulyaatul1999/wids-datathon-2021-data-cleaning-and-model", "kernel_id": "14411034"}, {"ref": "rxsraghavagrawal/eda-feature-engineering-imputation-for-beginners", "kernel_id": "14389472"}, {"ref": "leonaann12/understanding-diabetes-prediction-eda", "kernel_id": "14500285"}, {"ref": "adityajha1504/wids2021-nn-solution", "kernel_id": "14301381"}, {"ref": "scarecrow2020/wids-whole-pipeline-eda-clean-fe-grids-xgboost", "kernel_id": "14486884"}, {"ref": "miios18/wids2021-0-85709", "kernel_id": "14651124"}, {"ref": "hamzafarooq50/lightgbm-encoding-0-85883-score", "kernel_id": "14135942"}, {"ref": "mahmoudalaa01010101/eda-for-data-understanding", "kernel_id": "14414601"}, {"ref": "kingabzpro/fast-automljar-for-women-in-ds", "kernel_id": "14202594"}, {"ref": "kingabzpro/h20-automl", "kernel_id": "14188445"}, {"ref": "kingabzpro/lgbm-ds-for-women-2021", "kernel_id": "14158207"}, {"ref": "kingabzpro/wandb-lightgbm-wids", "kernel_id": "14243891"}, {"ref": "kingabzpro/automljar-performance", "kernel_id": "14418540"}, {"ref": "kingabzpro/automljar-golden-features", "kernel_id": "14332803"}, {"ref": "kingabzpro/tabnet-semi-supervised", "kernel_id": "14535733"}, {"ref": "akashkirodiwal/diabetes-prediction", "kernel_id": "14860566"}, {"ref": "akashkirodiwal/is-insulin-required-lets-find-it-out", "kernel_id": "14833786"}, {"ref": "akashkirodiwal/diabetes-prediction-using-ensemble-approach", "kernel_id": "14948653"}, {"ref": "skylershapiro/wids-team-a-s", "kernel_id": "14698655"}, {"ref": "julianapassos/wids-2021-diabetes-mellitus-xgb", "kernel_id": "14891192"}, {"ref": "taka11111111/count-of-diabetes-mellitus-with-diabetic-ketoacid", "kernel_id": "14833480"}, {"ref": "kumaraselva/wids-lda-analysis", "kernel_id": "14544259"}, {"ref": "hackspyder/faster-eda-for-data-understanding", "kernel_id": "14078178"}, {"ref": "tulasi533/widsdatathon2021-datadivas", "kernel_id": "14362994"}, {"ref": "yh3206/clinical-analytics-predicting-diabetes-in-icus", "kernel_id": "14657302"}, {"ref": "ishutrivedi/xgboost-with-hyper-parameter-tuning", "kernel_id": "14898880"}, {"ref": "ishutrivedi/lightgbm-with-hyper-parameter-tuning", "kernel_id": "14986191"}, {"ref": "utaruehmer/wids2021-clearedtraintestdataset-jackieanauta", "kernel_id": "14910571"}, {"ref": "liagaetano/eda-merged-notebook", "kernel_id": "14605361"}, {"ref": "ameliapompilio/amelia-pompilio-wids-2021", "kernel_id": "14737177"}, {"ref": "cpmpml/mapping-test-hospitals-to-train-hospitals", "kernel_id": "15240773"}, {"ref": "shrutisaxena/catboost-algorithm", "kernel_id": "15198244"}, {"ref": "saranyakm/wids-datathon-2021-deep-learning-inprogress", "kernel_id": "15068416"}, {"ref": "lhagiimn/7th-place-solution-wids-2021", "kernel_id": "15241284"}, {"ref": "trisha09/wids-modeling", "kernel_id": "15137226"}, {"ref": "fatihozturk/2stage-modeling-trick-and-psuedo-labeling-0-873", "kernel_id": "15253270"}, {"ref": "kritidoneria/wids-2021-adversarial-validation-on-train-test", "kernel_id": "15249067"}, {"ref": "kainsama/fork-of-2020fatures", "kernel_id": "15241101"}, {"ref": "manimec2007/wells-army-wids-dathathon-2021", "kernel_id": "15218967"}, {"ref": "aliyaadav/wids-2021-seaborn", "kernel_id": "15067890"}, {"ref": "sreevanijarugula/wids21-xgboost", "kernel_id": "15240825"}, {"ref": "aviora/drop-apache-x-and-h1", "kernel_id": "15036633"}, {"ref": "khanalkiran/wids-gridsearch-gpu", "kernel_id": "15185731"}, {"ref": "khanalkiran/wids-feature-selection-tf", "kernel_id": "15224096"}, {"ref": "khanalkiran/wids-keras-tuner", "kernel_id": "15220121"}, {"ref": "khanalkiran/wids-datathon2021-kiran", "kernel_id": "15167197"}, {"ref": "khanalkiran/wids-dmatrix-xgboost", "kernel_id": "15239932"}, {"ref": "khanalkiran/wids-xgboost-selectmodel", "kernel_id": "15240776"}, {"ref": "mpwolke/not-forked-pip-octopus-worked-in-kaggle", "kernel_id": "15092634"}, {"ref": "ifeomaozo/lgbm-wids2021-v0-1-1", "kernel_id": "15218129"}, {"ref": "danielefm/wids-datathon-xgboost-approach", "kernel_id": "15095366"}, {"ref": "pfarzana1313/farz-wids-v5", "kernel_id": "15217357"}, {"ref": "afafathar3007/wids-datathon-2021-analysis-modelling", "kernel_id": "15125835"}, {"ref": "naliniparimi/7th-place-solution-wids-2021", "kernel_id": "15459923"}, {"ref": "salonimishra/widsdatathon2021", "kernel_id": "15223867"}, {"ref": "nishantkumar61988/widsdatathon2021-diabetes-mellitus-prediction", "kernel_id": "15161297"}, {"ref": "akshatakm/eda-analysis", "kernel_id": "15224009"}, {"ref": "akshatakm/explainable-diabetes-prediction", "kernel_id": "15242543"}, {"ref": "nvhoang1999/widsdatathon", "kernel_id": "15002954"}, {"ref": "balamahesh2002/wids2021", "kernel_id": "15040013"}, {"ref": "mzsmkmok/29th-place-wids2021-lgb0-87-japanese", "kernel_id": "15553037"}, {"ref": "divyamehta/eda-data-cleaning", "kernel_id": "15205066"}, {"ref": "divyamehta/decision-tree-diabetesmellitus", "kernel_id": "15206486"}, {"ref": "meenasubu/wids2021-decisiontrees-newlearner", "kernel_id": "15171683"}, {"ref": "taka11111111/pip-install-octopus-ml-fails-on-kaggle-notebook", "kernel_id": "15049765"}, {"ref": "arushik1994/wids-datathon-logistic-regression", "kernel_id": "15165372"}, {"ref": "truptikadam/notebook0a762dd159", "kernel_id": "15205322"}, {"ref": "shrutim12/quirky-gals-dt-wids-datathon", "kernel_id": "15217619"}, {"ref": "gnah96/2020fatures", "kernel_id": "15100918"}, {"ref": "annie01/wids2021-final-model-for-diabetes-prediction", "kernel_id": "16825315"}, {"ref": "kritidoneria/tps-may-2021-intro-to-adversarial-validation", "kernel_id": "16831715"}, {"ref": "shravansk/what-we-learnt-from-wids-datathon-2021", "kernel_id": "16318248"}, {"ref": "huyquangchu/wids2", "kernel_id": "48817307"}, {"ref": "austinschacht/diabetes-women-k-means", "kernel_id": "66808199"}]}
{"competition_id": "22373", "kernels": []}
{"competition_id": "22374", "kernels": [{"ref": "boeufsolne/bseg-projet-ia-mstm", "kernel_id": "26689067"}]}
{"competition_id": "22378", "kernels": []}
{"competition_id": "22382", "kernels": [{"ref": "prakharprasad/furniture-identification", "kernel_id": "11583228"}, {"ref": "praatibhsurana/furniture-identification", "kernel_id": "11572602"}, {"ref": "amanpriyanshu/skipping-connections", "kernel_id": "11587948"}, {"ref": "amanpriyanshu/skipping-connections-final", "kernel_id": "11683311"}]}
{"competition_id": "22385", "kernels": []}
{"competition_id": "22389", "kernels": [{"ref": "devanshu125/make-your-first-submission", "kernel_id": "11589708"}, {"ref": "mananjhaveri/winning-solution-happiness-prediction", "kernel_id": "11835416"}]}
{"competition_id": "22392", "kernels": [{"ref": "quangnguyen122/keras-baseline-model", "kernel_id": "11577496"}]}
{"competition_id": "22394", "kernels": []}
{"competition_id": "22407", "kernels": [{"ref": "joarnykvist/guide", "kernel_id": "11598174"}]}
{"competition_id": "22411", "kernels": [{"ref": "kirichenko17roman/r-random-forest", "kernel_id": "11617757"}, {"ref": "kirichenko17roman/logistic-regression", "kernel_id": "11902968"}, {"ref": "ligala/xg-boost", "kernel_id": "11866349"}, {"ref": "bohdanlukashchuk/logistic-regression-random-forest-xgboost-b-l", "kernel_id": "11987466"}, {"ref": "andriibaranovskyi/cv-with-undersampling", "kernel_id": "11966734"}]}
{"competition_id": "22414", "kernels": []}
{"competition_id": "22415", "kernels": []}
{"competition_id": "22416", "kernels": []}
{"competition_id": "22417", "kernels": [{"ref": "enesalbay/mlp-prediction", "kernel_id": "11725206"}]}
{"competition_id": "22419", "kernels": [{"ref": "andreykorzhun/some-boo-shap", "kernel_id": "15707002"}, {"ref": "andreykorzhun/optuna-cat", "kernel_id": "16298720"}, {"ref": "andreykorzhun/columns-description", "kernel_id": "16336739"}, {"ref": "andreykorzhun/stacking-models", "kernel_id": "16583692"}, {"ref": "vitalygladyshev/bml2-hw7", "kernel_id": "17169795"}, {"ref": "natalialapteva/stacking-models", "kernel_id": "21316637"}]}
{"competition_id": "22420", "kernels": [{"ref": "jpmiller/some-best-practices-for-analytics-reporting", "kernel_id": "10227448"}, {"ref": "mathurinache/csv-to-feather", "kernel_id": "12305987"}, {"ref": "dimitrispsaradellis/kpi-movement", "kernel_id": "12647047"}, {"ref": "sayantanidasgupta/climate-risk-analysis", "kernel_id": "12959498"}, {"ref": "abhijitk/extracting-weather-data-from-city-coordinates", "kernel_id": "12690491"}, {"ref": "dsnil87/cdp-impact-on-social-aspects-and-city-services", "kernel_id": "12671886"}, {"ref": "takahirokubo0/cdp-overview-of-corporations-data", "kernel_id": "12486697"}, {"ref": "takahirokubo0/cdp-extract-emissions-from-corporate-responses", "kernel_id": "12875362"}, {"ref": "goelpravin/cdp-data-exploration", "kernel_id": "12352881"}, {"ref": "shabou/cdp-cities-location-exploratory-analysis", "kernel_id": "12702338"}, {"ref": "shabou/city-location-dataset-generation", "kernel_id": "12704953"}, {"ref": "shabou/exploratory-analysis-of-cities-responses", "kernel_id": "12806880"}, {"ref": "nicosia1/cdp-starter-notebook-w-problem-statement-link-fix", "kernel_id": "12285603"}, {"ref": "ellada/measuring-decarbonization-commitment", "kernel_id": "12362527"}, {"ref": "lmurawsk/cdp-cities-with-polygons", "kernel_id": "12868240"}, {"ref": "benwhite/cdp-abc", "kernel_id": "12812118"}, {"ref": "tensishe/cdp-datavisualization", "kernel_id": "12679503"}, {"ref": "isaienkov/cdp-unlocking-climate-solutions-understanding", "kernel_id": "12267230"}, {"ref": "mannmann2/visualizing-city-responses", "kernel_id": "12644290"}, {"ref": "mannmann2/visualizing-climate-change-water-security", "kernel_id": "12644387"}, {"ref": "mannmann2/kpis-for-measuring-climate-action-and-inequality", "kernel_id": "12297182"}, {"ref": "parselt/cdp-unlocking-climate-solutions", "kernel_id": "12660341"}, {"ref": "xramas/cdp-eda-nlp-visualization-segments", "kernel_id": "12598939"}, {"ref": "daplugg/notebook3d35cda21e", "kernel_id": "12271151"}, {"ref": "mohuahaldar/unlocking-climate-solutions-eda", "kernel_id": "12285542"}, {"ref": "boltmaud/started-with-dataviz-next-step-is-data-mining", "kernel_id": "12689145"}, {"ref": "reubencpereira/covid-19-impacts-on-existing-ghg-reduction-kpis", "kernel_id": "12594851"}, {"ref": "anshumoudgil/untying-climate-s-knots-visualisation", "kernel_id": "12274942"}, {"ref": "grapestone5321/cdp-unlocking-climate-solutions-8-energy", "kernel_id": "12292006"}, {"ref": "rasyidstat/cdp-data-preparation", "kernel_id": "12317865"}, {"ref": "rasyidstat/cdp-survey-eda-and-visualization-network-graph", "kernel_id": "12586332"}, {"ref": "ashkash/cdp-eda-kpi", "kernel_id": "12891732"}, {"ref": "ashutoshz/save-planet-eda", "kernel_id": "12286804"}, {"ref": "bigironsphere/sedac-introduction-how-to-work-with-this-dataset", "kernel_id": "12645324"}, {"ref": "sonmou/climate-care-eda-of-cities", "kernel_id": "12373158"}, {"ref": "tahentx/cdp-cities", "kernel_id": "12812296"}, {"ref": "jbrans/cdp-water-security-water-management", "kernel_id": "12673932"}, {"ref": "dunklerwald/cdp-if-you-are-lazy-like-me-eda-starter", "kernel_id": "12281485"}, {"ref": "vlarmet/cdp-you-can-t-manage-what-you-don-t-measure", "kernel_id": "12863316"}, {"ref": "yangam/cdp-starter-notebook", "kernel_id": "12885947"}, {"ref": "eudmar/cdp-climate-solutions", "kernel_id": "12310368"}, {"ref": "khotijahs1/visualisation-analysis-cdp-unlocking-climate", "kernel_id": "12529262"}, {"ref": "klostest/external-data-global-carbon-footprints-250m-grid", "kernel_id": "12675384"}, {"ref": "mattlong2010/cdp-data-visualization-external-data", "kernel_id": "12677963"}, {"ref": "subinium/tips-for-making-the-informative-visualization", "kernel_id": "12792578"}, {"ref": "jpbremer/environmental-justice-a-berlin-city-case", "kernel_id": "12674083"}, {"ref": "callumr22/cdp-starter-notebook", "kernel_id": "12184404"}, {"ref": "gianlab/predicting-city-collaboration-with-business", "kernel_id": "12394519"}, {"ref": "kavisekar/cdp-knowing-the-data-with-useful-visuals", "kernel_id": "12681155"}, {"ref": "seraphimstreets/roles-in-the-green-revolution", "kernel_id": "12878541"}, {"ref": "iamleonie/impact-potential-analysis-of-water-use-efficiency", "kernel_id": "12679907"}, {"ref": "iamleonie/cdp-dataset-intro-and-risk-assessment", "kernel_id": "12334916"}, {"ref": "aduaanuoluwapo/data-visualization", "kernel_id": "12550434"}, {"ref": "joelnadal/cdp-unlocking-climate-solutions", "kernel_id": "12743545"}, {"ref": "dineshkumaranbalagan/cdp-data-and-text-analysis", "kernel_id": "12726755"}, {"ref": "adityaneerukonda/cdp-competition", "kernel_id": "12761249"}, {"ref": "adityaneerukonda/cdp-competition-1", "kernel_id": "12824822"}, {"ref": "mihirrambhia/cdp-exploring-the-power-of-data", "kernel_id": "12464122"}, {"ref": "yzhang2333/cdp-climate-action-index-for-us-cities", "kernel_id": "12521258"}, {"ref": "bishnupriyaghosh/determining-kpis-for-unlocking-climate-solutions", "kernel_id": "12482484"}, {"ref": "philmcmanus/climate-social-pandemic-a-global-perspective", "kernel_id": "12618015"}, {"ref": "karthikchandu05/notebook05d7ee27ad", "kernel_id": "12738807"}, {"ref": "ajnisbet/cdp-appendix-hospital-locations", "kernel_id": "13272469"}, {"ref": "ajnisbet/cdp-appendix-osrm", "kernel_id": "13272497"}, {"ref": "ajnisbet/cdp-appendix-a-population-dataset", "kernel_id": "13270467"}, {"ref": "ajnisbet/cdp-access-kpis", "kernel_id": "13255180"}, {"ref": "donteo/enablement-of-household-electrification-in-the-us", "kernel_id": "13256981"}, {"ref": "princi/cdp-analysis", "kernel_id": "13179557"}, {"ref": "abdulwahabkabani/kpis-for-food-waste-insecurity-overconsumption", "kernel_id": "13256353"}, {"ref": "dsnil87/a-long-tale-of-cities-climate-and-corporations", "kernel_id": "13270889"}, {"ref": "takahirokubo0/cdp-hybrid-metrics-for-corporate-sustainability", "kernel_id": "13034480"}, {"ref": "takahirokubo0/crom-climate-related-opportunity-metrics", "kernel_id": "13169225"}, {"ref": "ps2263148/cdp-engagement", "kernel_id": "13180123"}, {"ref": "shabou/cdp-challenge-climate-adaptation-index", "kernel_id": "13155564"}, {"ref": "lmurawsk/cdp-cities-with-polygons-v1", "kernel_id": "13123414"}, {"ref": "suneetakartha/corporation-cdp-participation", "kernel_id": "13231958"}, {"ref": "wimeta/cdp-kpi-estimate-of-city-effort", "kernel_id": "13111898"}, {"ref": "benwhite/cdp-abc-nlp-chris", "kernel_id": "13263248"}, {"ref": "benwhite/cdp-abc-notebook-ben", "kernel_id": "13272634"}, {"ref": "jenjordache/cdp-challenge-most-at-risk-metrics", "kernel_id": "13252640"}, {"ref": "parselt/city-no2-emissions", "kernel_id": "13185940"}, {"ref": "djvivekj/solving-complex-issues-with-simple-vizualizations", "kernel_id": "13268969"}, {"ref": "reubencpereira/cdp-microlevel-urban-sustainability-approach", "kernel_id": "13272234"}, {"ref": "qypeng12/extracting-sustainability-kpi-from-cdp-survey-data", "kernel_id": "13202794"}, {"ref": "bhaskardutta29/city-kpi", "kernel_id": "13224768"}, {"ref": "bhaskardutta29/compay-kpi", "kernel_id": "13225327"}, {"ref": "bhaskardutta29/empower-framework", "kernel_id": "13200726"}, {"ref": "gigi73/risk-ambition-and-solution-kpis-for-cities", "kernel_id": "13218977"}, {"ref": "cgironda/improving-city-business-collaboration", "kernel_id": "13352202"}, {"ref": "gecb1609/notebook7db05443e3", "kernel_id": "13247097"}, {"ref": "atinakarim/ghg-emissions-by-country-2018-2020", "kernel_id": "13272494"}, {"ref": "jbrans/do-you-have-a-climate-plan", "kernel_id": "13258176"}, {"ref": "sofiatkachenko0810/cdp-unlocking-climate-solutions", "kernel_id": "13175565"}, {"ref": "giladshtern/notebook713dea913f", "kernel_id": "13148513"}, {"ref": "ayushprd/impacts-of-rising-sea-level-on-new-york-city", "kernel_id": "13248487"}, {"ref": "haakakak/equity", "kernel_id": "13266411"}, {"ref": "haakakak/vulnerability-severe", "kernel_id": "13270215"}, {"ref": "haakakak/vulnerability-heat", "kernel_id": "13269801"}, {"ref": "haakakak/vulnerability-cold", "kernel_id": "13269880"}, {"ref": "haakakak/adaptability", "kernel_id": "13270347"}, {"ref": "haakakak/vulnerability-drought", "kernel_id": "13270022"}, {"ref": "haakakak/vulnerability-floods", "kernel_id": "13270056"}, {"ref": "haakakak/summary", "kernel_id": "13270426"}, {"ref": "haakakak/city-corp-collaboration", "kernel_id": "13270295"}, {"ref": "haakakak/corp-sentiments", "kernel_id": "13271301"}, {"ref": "haakakak/reduce-and-add-geo-corps", "kernel_id": "13268453"}, {"ref": "haakakak/vulnerability-overall", "kernel_id": "13269572"}, {"ref": "haakakak/reduce-and-add-geo-cities", "kernel_id": "13267814"}, {"ref": "swannnn/cdp-nlp-for-kpis-prediction-859005", "kernel_id": "13268818"}, {"ref": "sabchock/kpis-to-keep-an-eye-on-quantifying-environmental", "kernel_id": "13272927"}, {"ref": "ryunosukeishizaki/frog-new-kpi-for-env-social-solutions", "kernel_id": "13259516"}, {"ref": "syzygense/cdp-unlocking-climate-solutions", "kernel_id": "13044607"}, {"ref": "petracarrion/tips-for-making-the-informative-visualization", "kernel_id": "13799170"}, {"ref": "adriansarstedt/testing-submission", "kernel_id": "13268209"}, {"ref": "adriansarstedt/cdp-tree-canopy-equality-kpi-final-submission", "kernel_id": "13272969"}, {"ref": "katemelianova/cdp-a-path-to-efficient-and-sustainable-growth", "kernel_id": "13112271"}, {"ref": "david289/cdp-unlocking-climate-solutions-kpis-proposal", "kernel_id": "13217635"}, {"ref": "akaggler1996/socio-environmental-impact-of-climate-change", "kernel_id": "13158907"}, {"ref": "vinnieantunes/some-best-practices-for-analytics-reporting", "kernel_id": "13206265"}, {"ref": "kokinoda/cdp-analysis", "kernel_id": "13176077"}, {"ref": "mcteoo/cdp-cities-data-analysis-and-kpi", "kernel_id": "13249208"}, {"ref": "adriansignups/fork-of-cdp-tree-canopy-equality-kpi-890e03", "kernel_id": "13272821"}, {"ref": "brooksjessup/measuring-urban-climate-equity", "kernel_id": "13908261"}, {"ref": "mustaphasahli/data-analysis", "kernel_id": "13401166"}, {"ref": "rajitasharma/cdp-climate-solution", "kernel_id": "13266825"}, {"ref": "ayatsalman/cdp-handling-the-missing-data", "kernel_id": "13635915"}, {"ref": "lukasnabergall/social-equity-and-saltwater-intrusion-risk", "kernel_id": "13251523"}, {"ref": "benjamins/cdp-survey-analysis", "kernel_id": "18565088"}, {"ref": "miaaazhang/mda-cdp-draft-318b8e", "kernel_id": "26735691"}, {"ref": "biligewuyun/mda-cdp-drafttttt", "kernel_id": "26722971"}, {"ref": "spalanzaniarthur/econos", "kernel_id": "42259849"}, {"ref": "yukyoungchoi/copywork-measuring-urban-climate-equity", "kernel_id": "79136073"}]}
{"competition_id": "22422", "kernels": [{"ref": "mohamed3abdelrazik/ranzcr-resnet200d-3-stage-train-step-1f4", "kernel_id": "14225865"}, {"ref": "saurabhbagchi/resnet-lstm-with-attention-wip", "kernel_id": "15507945"}, {"ref": "pasewark/pytorch-resnet-lstm-with-attention", "kernel_id": "15339094"}, {"ref": "datanewb/always-predict-same-inchi", "kernel_id": "15509089"}, {"ref": "stainsby/improved-synthetic-data-for-bms-competition-v3", "kernel_id": "15501817"}, {"ref": "stainsby/denoising-the-bms-dataset-with-a-small-cnn", "kernel_id": "15822243"}, {"ref": "stainsby/extract-molecule-structure-with-rdkit", "kernel_id": "15907369"}, {"ref": "stainsby/bristol-myers-squibb-counting-elements", "kernel_id": "15372758"}, {"ref": "zfturbo/most-probable-answer", "kernel_id": "15276039"}, {"ref": "ttahara/bms-mt-chemical-formula-regression-inference", "kernel_id": "15657722"}, {"ref": "ttahara/bms-mt-chemical-formula-regression-training", "kernel_id": "15649925"}, {"ref": "bjoernholzhauer/bristol-myers-squibb-eda-and-preparing-data", "kernel_id": "15300512"}, {"ref": "paulorzp/denoise-images", "kernel_id": "15286747"}, {"ref": "paulorzp/char-mode-naive-baseline", "kernel_id": "15293169"}, {"ref": "prokaj/rdkit-py3dmol-3d-images-of-molecules", "kernel_id": "15526361"}, {"ref": "kuparez/convert-and-decode-inchi-as-graph", "kernel_id": "15458992"}, {"ref": "kuparez/to-rdkit-molecule-and-back", "kernel_id": "15450312"}, {"ref": "kuparez/random-lengths-random-characters", "kernel_id": "15529277"}, {"ref": "drscarlat/levenshtein-relation-to-euclidean-others", "kernel_id": "15545189"}, {"ref": "afajohn/data-loading-starter", "kernel_id": "15278812"}, {"ref": "aditya08/imagecaptioning-show-attnd-tell-w-transformer", "kernel_id": "15899019"}, {"ref": "anubhav1302/quickeda", "kernel_id": "15298378"}, {"ref": "poornap/molecular-translation-eda-text-generation-model", "kernel_id": "15274756"}, {"ref": "sanjitschouhan/molecular-transalation", "kernel_id": "15433591"}, {"ref": "andypenrose/genetic-algorithm-for-naive-baseline", "kernel_id": "15285827"}, {"ref": "sapr3s/inchi-samples", "kernel_id": "15368131"}, {"ref": "ateplyuk/inchi-pytorch", "kernel_id": "15369616"}, {"ref": "ihelon/molecular-translation-exploratory-data-analysis", "kernel_id": "15261686"}, {"ref": "juansensio/e2e-transformer-image-captioning-example", "kernel_id": "15508853"}, {"ref": "juansensio/e2e-transformer", "kernel_id": "15794169"}, {"ref": "mnavaidd/molecular-translation-tensorflow", "kernel_id": "15302440"}, {"ref": "tj0612/cv-strategy-by-murcko-scaffold", "kernel_id": "15406515"}, {"ref": "tj0612/convert-from-inchi-to-picture-by-rdkit", "kernel_id": "15306311"}, {"ref": "sorkun/bms-mt-stereochemical-layer-prediction", "kernel_id": "15835602"}, {"ref": "dschettler8845/bms-simple-tfrecord-creation", "kernel_id": "15947720"}, {"ref": "dschettler8845/bms-image-captioning-w-attention-train", "kernel_id": "15475033"}, {"ref": "dschettler8845/molecular-translation-eda-smart-baseline", "kernel_id": "15264074"}, {"ref": "jcesquiveld/generate-inchi-strings-with-lstm", "kernel_id": "15829979"}, {"ref": "yasufuminakama/molecular-translation-naive-baseline", "kernel_id": "15274549"}, {"ref": "yasufuminakama/inchi-preprocess-2", "kernel_id": "15455528"}, {"ref": "yasufuminakama/inchi-resnet-lstm-with-attention-starter", "kernel_id": "15476866"}, {"ref": "yasufuminakama/inchi-resnet-lstm-with-attention-inference", "kernel_id": "15479784"}, {"ref": "arka47/convlstm-pytorch-skeleton", "kernel_id": "15294072"}, {"ref": "yingpengchen/pl-bms-molecular-translation", "kernel_id": "15709910"}, {"ref": "kaushal2896/bms-mt-show-attend-and-tell-pytorch-baseline", "kernel_id": "15269374"}, {"ref": "towardsentropy/pytorch-cnn-to-gru-strong-baseline-55-6", "kernel_id": "15461008"}, {"ref": "towardsentropy/create-additional-data", "kernel_id": "15335416"}, {"ref": "ghaiyur/baseline-starter", "kernel_id": "15504303"}, {"ref": "wuliaokaola/bmsmt-0331-normalize-your-predictions", "kernel_id": "15921677"}, {"ref": "affjljoo3581/bms-molecular-translation-train-inchi-tokenizer", "kernel_id": "15501157"}, {"ref": "ayuraj/bms-eda-and-dataset-visualization-w-w-b", "kernel_id": "15426762"}, {"ref": "mahmudds/inchi-resnet-lstm-with-attention-inference", "kernel_id": "15718031"}, {"ref": "xhlulu/bms-molecular-resizing-and-reshaping", "kernel_id": "15314193"}, {"ref": "develuse/inchi-resnet-lstm-with-attention-starter", "kernel_id": "15545482"}, {"ref": "jarupula/bms-molecular-translation-model", "kernel_id": "15268103"}, {"ref": "jarupula/levenshtein-distance-implementation", "kernel_id": "15505071"}, {"ref": "abhishekb0210/mt-denoising-and-feature-extraction-using-unet", "kernel_id": "15582945"}, {"ref": "maunish/bms-super-cool-eda", "kernel_id": "15268587"}, {"ref": "volkan97/tfrecords-generation-for-bristol-myers-squibb-data", "kernel_id": "15980762"}, {"ref": "seraphwedd18/pytorch-train-with-lstm", "kernel_id": "15829463"}, {"ref": "seraphwedd18/train-data-analysis-pairwise-element-counts", "kernel_id": "15844105"}, {"ref": "seraphwedd18/tpu-get-gcs-path-check", "kernel_id": "15808954"}, {"ref": "vineeth1999/molecular-translation-exploratory-data-analysis", "kernel_id": "15266286"}, {"ref": "sthuthyevangelinem/bristol-myers-squibb-molecular-translation-eda", "kernel_id": "15374965"}, {"ref": "drcapa/bms-molecular-translation-tutorial", "kernel_id": "15261141"}, {"ref": "accountstatus/using-cnn-and-ctc-for-prediction", "kernel_id": "15402153"}, {"ref": "brodzik/drawing-molecules-with-rdkit-inchi-to-png", "kernel_id": "15514524"}, {"ref": "wantsu/molecular-translation-ocsr-training", "kernel_id": "15268671"}, {"ref": "nofreewill/normalize-your-predictions", "kernel_id": "15902853"}, {"ref": "nofreewill/resize-images", "kernel_id": "15332020"}, {"ref": "taruntiwarihp/molecular-translation-eda", "kernel_id": "15512986"}, {"ref": "tchaye59/mt-tfrecord-custom-vocab", "kernel_id": "15867169"}, {"ref": "tchaye59/mt-utils", "kernel_id": "15910905"}, {"ref": "mohamed3abdelrazik/molecular-translation-naive-baseline", "kernel_id": "15277629"}, {"ref": "mohamed3abdelrazik/molecular-translation-tensorflow", "kernel_id": "15358009"}, {"ref": "mohamed3abdelrazik/bms-mt-show-attend-and-tell-pytorch-baseline", "kernel_id": "15357938"}, {"ref": "akaihachu/molecular-translation-nguyenhoa", "kernel_id": "15401583"}, {"ref": "nayuts/let-s-understand-dataset-with-molecular-3d-models", "kernel_id": "15275018"}, {"ref": "maksymshkliarevskyi/bms-mol-tr-approaches-eda-denoise-baseline", "kernel_id": "15270837"}, {"ref": "kalfirst/bristol-myers-squibb-count-atom", "kernel_id": "15277880"}, {"ref": "tom99763/my-levenshtein-distance-understanding", "kernel_id": "15294352"}, {"ref": "markwijkhuizen/advanced-image-cleaning-and-tfrecord-generation", "kernel_id": "15323253"}, {"ref": "markwijkhuizen/tensorflow-tpu-training-baseline-lb-16-92", "kernel_id": "15815419"}, {"ref": "rssrwn/inchi-tokenisation", "kernel_id": "15493531"}, {"ref": "makarbaderko/tensorflow-molecular-transaction", "kernel_id": "15690946"}, {"ref": "ammarali32/molecular-translation-simple-training-starter", "kernel_id": "15266407"}, {"ref": "ammarali32/inchi-2-inchikey2-smiles", "kernel_id": "15354739"}, {"ref": "tomohiroh/bms-starter", "kernel_id": "15662630"}, {"ref": "akhileshdkapse/learn-image-embedding-via-unet-tpu-part-i", "kernel_id": "15671055"}, {"ref": "akhileshdkapse/vector-to-sequence-modeling-tpu-part-ii", "kernel_id": "15845423"}, {"ref": "thomaskonstantin/detecting-compound-vertices-molecular-translation", "kernel_id": "15408673"}, {"ref": "thomaskonstantin/letter-retrieval-molecular-translation", "kernel_id": "15383637"}, {"ref": "moeinshariatnia/cnn-rnn-cnn-pretraining-w-regression-train", "kernel_id": "15947008"}, {"ref": "moeinshariatnia/cnn-rnn-cnn-pretraining-w-regression-preprocess", "kernel_id": "15946808"}, {"ref": "zzz0534/photo-trans2", "kernel_id": "15846392"}, {"ref": "jinssaa/generate-molecular-images-pubcham", "kernel_id": "15270765"}, {"ref": "akashvadnala/rrr-take1", "kernel_id": "15398909"}, {"ref": "ysprakash/inchi-resnet-34-lstm-with-attention-gpu", "kernel_id": "15978527"}, {"ref": "saztorralba/moleculartranslation-autoregressivelstmnoimages", "kernel_id": "15633581"}, {"ref": "saztorralba/moleculetranslation-cnnencoderlstmdecoder-infering", "kernel_id": "15937615"}, {"ref": "saztorralba/moleculetranslation-cnnencoderlstmdecoder-training", "kernel_id": "15916132"}, {"ref": "kalabanga/moleculartraintestsplit", "kernel_id": "15748277"}, {"ref": "wineplanetary/step-by-step-detection-1-99-acc-chirality", "kernel_id": "15314877"}, {"ref": "wineplanetary/understanding-inchi-format-and-arrange-train-label", "kernel_id": "15296400"}, {"ref": "wineplanetary/step-by-step-2-ls-dist-1-chemical-formula", "kernel_id": "15377150"}, {"ref": "konradb/model-train-efficientnet", "kernel_id": "16134630"}, {"ref": "konradb/model-infer-efficientnet", "kernel_id": "16136989"}, {"ref": "saurabhbagchi/batched-beam-search-inference-changed-parameters", "kernel_id": "16071331"}, {"ref": "kozodoi/computing-dataset-mean-and-std", "kernel_id": "16473642"}, {"ref": "kozodoi/efficientnet-multi-layer-lstm-training", "kernel_id": "16496074"}, {"ref": "kozodoi/efficientnet-multi-layer-lstm-inference", "kernel_id": "16523147"}, {"ref": "finlay/molecular-translation-find-similar-image", "kernel_id": "16361335"}, {"ref": "finlay/molecular-translation-eda", "kernel_id": "16338125"}, {"ref": "shams1/bms-molecular", "kernel_id": "16191441"}, {"ref": "tugstugi/batched-beam-search-inference", "kernel_id": "16041313"}, {"ref": "prvnkmr/bristol-myers-mt-problem-domain-understanding", "kernel_id": "16088542"}, {"ref": "prvnkmr/tensorflow-baseline-training-notebook", "kernel_id": "16103359"}, {"ref": "dschettler8845/bms-tfrecord-creation-256x512-test-full", "kernel_id": "16843727"}, {"ref": "dschettler8845/bms-tfrecord-creation-192x384-train-half", "kernel_id": "16843742"}, {"ref": "dschettler8845/bms-simple-tfrecord-creation-128x128", "kernel_id": "16272782"}, {"ref": "dschettler8845/bms-simple-tfrecord-creation-256x256", "kernel_id": "16272837"}, {"ref": "dschettler8845/bms-simple-tfrecord-creation-384-test", "kernel_id": "16324946"}, {"ref": "dschettler8845/bms-cnn-attn-lstm-tpu-tutorial-training", "kernel_id": "16326997"}, {"ref": "dschettler8845/bms-cnn-attn-lstm-tpu-tutorial-inference", "kernel_id": "16335507"}, {"ref": "dschettler8845/bms-cnn-attn-lstm-tpu-tutorial-infer", "kernel_id": "16350866"}, {"ref": "yingpengchen/pl-bms-train", "kernel_id": "16315176"}, {"ref": "arunamenon/bms-molecular-translation", "kernel_id": "16828283"}, {"ref": "wentixiaogege/inchi-efficientnetb7-inference-public-weights", "kernel_id": "16901363"}, {"ref": "wentixiaogege/tensorflow-tpu-training-baseline-lb-16-92", "kernel_id": "16901400"}, {"ref": "vishakbharadwaj/broke-chem-fully", "kernel_id": "16524008"}, {"ref": "rayoct18/inchi-resnet-lstm-with-attention-starter", "kernel_id": "16105694"}, {"ref": "rayoct18/inchi-resnet-lstm-with-attention-inference", "kernel_id": "16105698"}, {"ref": "uranus97s2/efficientnet-multi-layer-lstm-training", "kernel_id": "16753015"}, {"ref": "sambhavsg/bms-baseline-inchi-first-layer-train-tf-keras", "kernel_id": "16145769"}, {"ref": "sambhavsg/bms-baseline-inchi-first-layer-inference-tf-keras", "kernel_id": "16859229"}, {"ref": "volkan97/tfrecord-generation-bms", "kernel_id": "16485007"}, {"ref": "micheomaano/efficientnet-experiments", "kernel_id": "16209478"}, {"ref": "tchaye59/mt-fast-distributed-training-tpu", "kernel_id": "16242752"}, {"ref": "tchaye59/mt-pretraining", "kernel_id": "16242403"}, {"ref": "nitinsss/levenshtein-distance-dynamic-programming", "kernel_id": "16386880"}, {"ref": "kirderf/basic-postp-with-different-submissions", "kernel_id": "16971112"}, {"ref": "sidharkal/molecular-translation-eda", "kernel_id": "16846256"}, {"ref": "drzhuzhe/bms-preprocess-data-parallel", "kernel_id": "16986315"}, {"ref": "junta6/atom-and-bond-bboxes-w-rdkit", "kernel_id": "16982367"}, {"ref": "tuckerarrants/inchi-allowed-external-data", "kernel_id": "16094432"}, {"ref": "markwijkhuizen/tensorflow-tpu-training-baseline-predictions", "kernel_id": "16322569"}, {"ref": "dragonzhang/tensorflow-tpu-training-baseline-predictions", "kernel_id": "16551345"}, {"ref": "dragonzhang/tensorflow-tpu-training-baseline-bx", "kernel_id": "16546562"}, {"ref": "caoduahua/inchi-resnet-lstm-with-attention-starter", "kernel_id": "16010036"}, {"ref": "michaelwolff/bms-inchi-cropped-img-sizes-for-best-resolution", "kernel_id": "16263453"}, {"ref": "zekunn/notebookc8f8a52318", "kernel_id": "16847563"}, {"ref": "mvenou/bms-molecular-translation", "kernel_id": "16527525"}, {"ref": "ivanmordovetc/inchi-efficientnetb7-25-epochs-inference", "kernel_id": "16439632"}, {"ref": "royyk77/tensorflow-tpu-training-baseline-predictions", "kernel_id": "16590034"}, {"ref": "jingomaster/inchi-resnet-lstm-with-attention-starter", "kernel_id": "16016658"}, {"ref": "liucong12601/inchi-preprocess-v2", "kernel_id": "16943093"}, {"ref": "maximdecherf/notebook6a2aa6749a", "kernel_id": "16518058"}, {"ref": "legoshi/bms-resnet-lstm", "kernel_id": "16928090"}, {"ref": "stassl/bms-competition-stats", "kernel_id": "17660816"}, {"ref": "vikrant06/bms-efficientnetv2-tpu-32-epocs-final-lr-e-5", "kernel_id": "17335943"}, {"ref": "zfturbo/ensemble-code-based-on-inchi-part-and-lev-distance", "kernel_id": "17485926"}, {"ref": "kozodoi/47th-place-solution-bms-ensembling", "kernel_id": "17446198"}, {"ref": "yeayates21/bms-mt-simple-tree-based-bucket-response-model", "kernel_id": "17270429"}, {"ref": "orkatz2/mol-segmentation-ocr-neighbors-atom", "kernel_id": "17421706"}, {"ref": "bamps53/lb0-87-part-of-3rd-place-solution", "kernel_id": "17129911"}, {"ref": "dschettler8845/bms-visiontransformer-transformer-vit", "kernel_id": "17386131"}, {"ref": "dschettler8845/3-71-cv-bms-efficientnetv2-transformer-e2e", "kernel_id": "17154049"}, {"ref": "dschettler8845/bms-efficientnetv2-tpu-e2e-pipeline-in-3hrs", "kernel_id": "17016924"}, {"ref": "dschettler8845/bms-tfrecord-creation-192x384-test-no-rot", "kernel_id": "17091770"}, {"ref": "dschettler8845/bms-tfrecord-creation-192x384-test-all-rot", "kernel_id": "17091790"}, {"ref": "interneuron/moldalle", "kernel_id": "17132207"}, {"ref": "rayoct18/inchi-preprocess", "kernel_id": "17030773"}, {"ref": "zifencai/efficientnet-multi-layer-lstm-inference", "kernel_id": "17225324"}, {"ref": "tanulsingh077/logits-ensemble-transformer", "kernel_id": "17408116"}, {"ref": "o93333/bms-molecular-translation-train-baseline", "kernel_id": "17136783"}, {"ref": "o93333/bms-molecular-translation-pred-baseline", "kernel_id": "17153807"}, {"ref": "valerydec17/870th-place-solution-bms-organic-chemistry", "kernel_id": "17374110"}, {"ref": "sidharkal/notebook733e358ac3", "kernel_id": "17628158"}, {"ref": "manjunathns/bristol-myer-molecular-translaton-rev-01", "kernel_id": "17348073"}, {"ref": "drzhuzhe/training-on-gpu-bms", "kernel_id": "17031148"}, {"ref": "drzhuzhe/bms-vision-transformer", "kernel_id": "17368193"}, {"ref": "markwijkhuizen/bms-submissions-assemble-2-12-1-93", "kernel_id": "17441134"}, {"ref": "dragonzhang/colab-version-bms-efficientnetv2-tpu-lb-3-18", "kernel_id": "17037346"}, {"ref": "samibenhsan/image-captioning-with-attention-mechanism", "kernel_id": "17142491"}, {"ref": "liucong12601/inchi-preprocess-segment", "kernel_id": "17126950"}, {"ref": "hymanli/01-bms-efficientnetv2-transformer", "kernel_id": "20071218"}, {"ref": "hymanli/02-selfies-tfrecord-creation", "kernel_id": "20569113"}, {"ref": "narminj/chemfeast-chemical-element-transformations", "kernel_id": "21987635"}, {"ref": "narminj/lstm-attention-model-smart-crop", "kernel_id": "24710436"}, {"ref": "narminj/tpu-fast-pytorch-cnn-attention-model-train", "kernel_id": "24952738"}, {"ref": "narminj/inchi-resnet-lstm-with-attention-starter", "kernel_id": "24325300"}, {"ref": "smoschou55/bms-visiontransformer-transformer", "kernel_id": "24154987"}, {"ref": "smoschou55/bms-efficientnetv2-end2end", "kernel_id": "24545501"}, {"ref": "rarb1ack/lstm-attention-model-smart-crop", "kernel_id": "24741178"}, {"ref": "narajamalova/lstm-attention-model-black-white-reversal", "kernel_id": "24666048"}, {"ref": "narajamalova/lstm-attention-model-beam-search-inference", "kernel_id": "24724785"}, {"ref": "narminj/crop-pytorch-cnn-attention-model-train", "kernel_id": "25049846"}, {"ref": "mingming36/crop-pytorch-cnn-attention-model-trai-257489", "kernel_id": "25341698"}, {"ref": "rarb1ack/crop-pytorch-cnn-attention-model-train", "kernel_id": "25074431"}, {"ref": "bryan194/molecular-translation", "kernel_id": "26094093"}, {"ref": "victoroliveirab/notebook063f3149de", "kernel_id": "27325025"}, {"ref": "bhaviksinghal/let-s-understand-dataset-with-molecular-3d-models", "kernel_id": "27917083"}, {"ref": "dongyangzz/clef-starter", "kernel_id": "28185237"}, {"ref": "dongyangzz/lstm-resnet", "kernel_id": "31517731"}, {"ref": "dongyangzz/parameters-valid", "kernel_id": "32352248"}, {"ref": "yyyyake/parameters-valid", "kernel_id": "32396156"}, {"ref": "chemral/textdim-parameters-valid", "kernel_id": "34903104"}, {"ref": "chemral/5w-parameters-valid-xx", "kernel_id": "34154712"}, {"ref": "sylviav/lstm-resnet", "kernel_id": "35632501"}, {"ref": "maximilianoalarcon/final-prototype-efficientnet", "kernel_id": "37617481"}, {"ref": "rishavsanson/molecular-translation-to-text", "kernel_id": "43581408"}, {"ref": "raisingpigs/inchi-pan", "kernel_id": "44278667"}, {"ref": "sylviav/inchi-pan", "kernel_id": "45442518"}, {"ref": "sylviav/inchi-swint-fairseq", "kernel_id": "45837663"}, {"ref": "raisingpigs/inchi-swint", "kernel_id": "45444500"}, {"ref": "raisingpigs2/inchi-pan", "kernel_id": "45063059"}, {"ref": "raisingpigs2/inchi-swint", "kernel_id": "45461208"}, {"ref": "raisingpigs2/vit-small-adam", "kernel_id": "45711927"}, {"ref": "luojing2023/inchi-pan-lookahead-radam", "kernel_id": "45463354"}, {"ref": "pigraising3/inchi-pan", "kernel_id": "45519815"}, {"ref": "pigraising3/inchi-swint-fairseq", "kernel_id": "45863968"}, {"ref": "pigraising4/inchi-swint-fairseq", "kernel_id": "45726897"}, {"ref": "pigraising5/inchi-swint-fairseq", "kernel_id": "45897449"}, {"ref": "ummarakhan/new-chemical-detection", "kernel_id": "46680089"}, {"ref": "luojing2023/inchi-swint-fairseq", "kernel_id": "46275287"}, {"ref": "fahad3341/computing-dataset-mean-and-std", "kernel_id": "87438078"}, {"ref": "rsinda/bms-molecular-translation", "kernel_id": "94923585"}, {"ref": "ullasmmugalolli/notebook74933b28a7", "kernel_id": "94977310"}, {"ref": "rsinda/itr2-bms-molecular-translation", "kernel_id": "95042800"}]}
{"competition_id": "22426", "kernels": []}
{"competition_id": "22439", "kernels": []}
{"competition_id": "22441", "kernels": [{"ref": "nilesh94031/petrol-price-prediction", "kernel_id": "32225870"}, {"ref": "madhusagar029/petrol-price-forecasting", "kernel_id": "38269933"}, {"ref": "raihan150146/petrol-price-prediction-with-arima-automl-lstm", "kernel_id": "45156858"}, {"ref": "mdsozibsarkar/petrol-price-prediction-with-arima-automl-lstm", "kernel_id": "57706488"}, {"ref": "maksudaakter01/petrol-price-prediction-with-arima-automl-lstm", "kernel_id": "57549629"}]}
{"competition_id": "22444", "kernels": [{"ref": "mahdimoqri/cpg-density", "kernel_id": "11646725"}, {"ref": "mahdimoqri/cpg-island", "kernel_id": "11645381"}, {"ref": "anuttharadesilva/predict-dna-methylation-states-island", "kernel_id": "28036414"}, {"ref": "anuttharadesilva/predict-dna-methylation-states-density", "kernel_id": "28032985"}, {"ref": "gertthijs/dna-methylation-prediction-from-sequence", "kernel_id": "65338031"}, {"ref": "manikchandrabiswas/dna-test", "kernel_id": "131708593"}]}
{"competition_id": "22450", "kernels": [{"ref": "kevinscaccia/multiclassification-with-conv1d-92-accuracy", "kernel_id": "11750515"}, {"ref": "caioerick/meu-desafio", "kernel_id": "11749800"}, {"ref": "fellypesiqueira/predicts-with-mlpclassifier", "kernel_id": "11768361"}, {"ref": "andrademjo/desafio-worcap-2020-jm", "kernel_id": "11750139"}, {"ref": "vijaysimhareddyp/multiclassification-predictions-portugese-data", "kernel_id": "11766013"}, {"ref": "marcoslr/worcap2020-hackathonml-kaggle", "kernel_id": "11779358"}, {"ref": "arthurpolli/knn-prediction", "kernel_id": "11749650"}]}
{"competition_id": "22454", "kernels": []}
{"competition_id": "22463", "kernels": []}
{"competition_id": "22473", "kernels": [{"ref": "arunkothari/shared-bikes-demand-prediction", "kernel_id": "17391848"}, {"ref": "purvitsharma/shared-bikes-demand-prediction", "kernel_id": "19283280"}]}
{"competition_id": "22477", "kernels": []}
{"competition_id": "22493", "kernels": []}
{"competition_id": "22498", "kernels": []}
{"competition_id": "22499", "kernels": []}
{"competition_id": "22510", "kernels": [{"ref": "phelpsmemo/intro-ds-kaggle-worcap2020", "kernel_id": "11699220"}]}
{"competition_id": "22511", "kernels": [{"ref": "shubhayudas6/team-vsm-s-best-model", "kernel_id": "12858001"}, {"ref": "sohamjoshi7/eda-quora", "kernel_id": "13152811"}, {"ref": "shubhayudas6/team-vsm-s-final-submission", "kernel_id": "13658968"}, {"ref": "saimanishsasanapuri2/teamvsm-visualizations", "kernel_id": "13682252"}, {"ref": "rizdelhi/fine-tuning-bert-on-sentiment-analysis-task", "kernel_id": "14885093"}, {"ref": "nahidahsan/fine-tuning-bert", "kernel_id": "89221270"}]}
{"competition_id": "22512", "kernels": []}
{"competition_id": "22513", "kernels": [{"ref": "sahoosubhodeep06/iiitb-ps-safedriverprediction", "kernel_id": "12389127"}]}
{"competition_id": "22518", "kernels": []}
{"competition_id": "22522", "kernels": [{"ref": "combobreaker/sample-dummy-submission", "kernel_id": "11714168"}, {"ref": "s4dead/lenta-ru-texts-classification-0-967-score", "kernel_id": "12435978"}]}
{"competition_id": "22531", "kernels": []}
{"competition_id": "22533", "kernels": []}
{"competition_id": "22541", "kernels": [{"ref": "sashank2000/final-notebook-vikram", "kernel_id": "13153035"}]}
{"competition_id": "22544", "kernels": [{"ref": "keshav2511/eda-final", "kernel_id": "12473043"}, {"ref": "keshav2511/project-code", "kernel_id": "13280896"}, {"ref": "lekshmisree/airbnb-randomforest1", "kernel_id": "14807111"}]}
{"competition_id": "22545", "kernels": [{"ref": "athosdamiani/submiss-o-exemplo-de-c-digo", "kernel_id": "11734173"}, {"ref": "ivanormenesse/random-forest", "kernel_id": "12664937"}, {"ref": "ivanormenesse/adult-xgboost-v6", "kernel_id": "12654785"}, {"ref": "viniciusjacobs2103/notebook-xgboost-50k", "kernel_id": "12617644"}, {"ref": "ehashimoto/mlog-emh", "kernel_id": "12717216"}, {"ref": "mcarmenneira/adult-competicion-final-ml", "kernel_id": "12404284"}, {"ref": "brunocesarpasquini/mais-um-notebook", "kernel_id": "12720819"}, {"ref": "brunocesarpasquini/modelo-simples", "kernel_id": "12720232"}, {"ref": "jonatasses/xgboost-jonatas-08112020", "kernel_id": "12766990"}, {"ref": "jonatasses/xgboost-jonatas-v2", "kernel_id": "12769664"}]}
{"competition_id": "22546", "kernels": []}
{"competition_id": "22554", "kernels": []}
{"competition_id": "22557", "kernels": []}
{"competition_id": "22559", "kernels": [{"ref": "titericz/eda-loading-data-and-visualizing-paths", "kernel_id": "14525234"}, {"ref": "titericz/gpu-and-cudf-info", "kernel_id": "14608208"}, {"ref": "titericz/targetencode-wifi-1", "kernel_id": "14608342"}, {"ref": "jiweiliu/dask-with-simple-xgb", "kernel_id": "14557296"}, {"ref": "jiweiliu/wifi-features-lightgbm-starter-simple-tuning", "kernel_id": "14604562"}, {"ref": "jiweiliu/show-all-trajectories", "kernel_id": "14553746"}, {"ref": "devinanzelmo/wifi-features-lightgbm-starter", "kernel_id": "14588144"}, {"ref": "devinanzelmo/wifi-features", "kernel_id": "14588928"}, {"ref": "arnabbiswas1/indoor-sitenames-in-english", "kernel_id": "14539399"}, {"ref": "kenmatsu4/feature-store-for-indoor-location-navigation", "kernel_id": "14554342"}, {"ref": "kenmatsu4/waypoint-path-with-gayro-sensor-magnetic-sensor", "kernel_id": "14842731"}, {"ref": "kenmatsu4/count-all-dataframe-length", "kernel_id": "14882564"}, {"ref": "tomwarrens/indoor-location-and-navigation-start", "kernel_id": "14544647"}, {"ref": "tolgadincer/iln-quick-overview", "kernel_id": "14530385"}, {"ref": "tunguz/jiwei-s-dask-features-only", "kernel_id": "14566052"}, {"ref": "tunguz/adversarial-indoor-navigation-jiwei-features", "kernel_id": "14606476"}, {"ref": "tanlikesmath/indoor-location-navigation-eda", "kernel_id": "14525374"}, {"ref": "hannik/wifi-features", "kernel_id": "14736020"}, {"ref": "mlconsult/build-dataset", "kernel_id": "14539650"}, {"ref": "mlconsult/how-to-tune-lgbm-with-optuna", "kernel_id": "14656312"}, {"ref": "minakamikichi/wi-fi-catboost-lightgbm-starter", "kernel_id": "14815882"}, {"ref": "maheswarareddyp/indoorlocnav-mahesh", "kernel_id": "14776450"}, {"ref": "npa02012/time-to-complete-trace-eda", "kernel_id": "14567332"}, {"ref": "npa02012/location-floor-mha", "kernel_id": "14571307"}, {"ref": "npa02012/location-xy-mha", "kernel_id": "14718500"}, {"ref": "ihelon/indoor-location-exploratory-data-analysis", "kernel_id": "14524862"}, {"ref": "yamsam/how-to-check-your-submission-lb4-441", "kernel_id": "14810159"}, {"ref": "mczenitar/train-data-parsing-some-site-floor-vis-r", "kernel_id": "14801076"}, {"ref": "higepon/fast-dataset-setup-for-colab", "kernel_id": "14835727"}, {"ref": "dhananjay3/indoor-location-navigation-simple-eda", "kernel_id": "14533893"}, {"ref": "rdboyes/data-cleaning-and-path-visualization-in-r", "kernel_id": "14584382"}, {"ref": "rdboyes/locating-a-wifi-point-in-r", "kernel_id": "14653528"}, {"ref": "hrshtt/kalman-filters-and-imus-starter", "kernel_id": "14644735"}, {"ref": "leicher/navigation-data", "kernel_id": "14805005"}, {"ref": "leicher/exploring-buildings", "kernel_id": "14733382"}, {"ref": "andradaolteanu/indoor-navigation-complete-data-understanding", "kernel_id": "14906288"}, {"ref": "spicychiken/a-baseline-with-only-magnetic-features", "kernel_id": "14535453"}, {"ref": "iamleonie/intro-to-indoor-location-navigation", "kernel_id": "14525356"}, {"ref": "nayuts/get-understand-dataset-by-run-processing-scripts", "kernel_id": "14541054"}, {"ref": "akan27/indoor-location-exploratory-data-analysis", "kernel_id": "14767861"}, {"ref": "tomokikmogura/convert-path-files-with-addressing-quality-problem", "kernel_id": "14534683"}, {"ref": "aatiffraz/converting-files-to-csv", "kernel_id": "14627218"}, {"ref": "mrutyunjaybiswal/indoor-location-and-navigation-eda-walkthrough", "kernel_id": "14527267"}, {"ref": "satokiogiso/read-data-as-pandas-dataframe", "kernel_id": "14532431"}, {"ref": "makarbaderko/notebook28b9e8c471", "kernel_id": "14558111"}, {"ref": "tosinabase/basic-eda-traces-and-features-visualization", "kernel_id": "14528154"}, {"ref": "ammarali32/wifi-features-lightgbm-starter-v2", "kernel_id": "14657572"}, {"ref": "ammarali32/dask-with-simple-xgb", "kernel_id": "14564232"}, {"ref": "ammarali32/floor-distribution", "kernel_id": "14529372"}, {"ref": "tpothjuan/arrowed-path-of-a-sample-eda-and-acceleration-plot", "kernel_id": "14588602"}, {"ref": "koheist/introduction", "kernel_id": "14589693"}, {"ref": "deepijongwonkim/wifi-features-neural-networks-starter", "kernel_id": "14974563"}, {"ref": "wineplanetary/can-your-predicted-positions-really-stand", "kernel_id": "14895158"}, {"ref": "wineplanetary/preparing-for-map-matching-making-a-map-model", "kernel_id": "14974829"}, {"ref": "muhammadzubairkhan92/basic-eda-paths-by-the-floor-map", "kernel_id": "14638709"}, {"ref": "museas/estimate-the-walk-with-acce-and-magn", "kernel_id": "14858967"}, {"ref": "jiweiliu/fix-the-timestamps-of-test-data-using-dask", "kernel_id": "15273555"}, {"ref": "jiweiliu/wifi-label-encode", "kernel_id": "15005689"}, {"ref": "saurabhbagchi/ensembling-best-performing-notebooks", "kernel_id": "15404601"}, {"ref": "nigelhenry/simple-92-accurate-floor-model", "kernel_id": "15015744"}, {"ref": "robikscube/indoor-navigation-snap-to-grid-post-processing", "kernel_id": "15368129"}, {"ref": "robikscube/indoor-nav-visualize-predictions-train-data", "kernel_id": "15215883"}, {"ref": "byfone/indoor-location-wi-fi-features-catboost-starter", "kernel_id": "15107162"}, {"ref": "a763337092/multi-task-mlp-training", "kernel_id": "15070155"}, {"ref": "a763337092/multi-task-mlp-inference", "kernel_id": "15071387"}, {"ref": "fletchersarip/indoor-location-navigation-eda", "kernel_id": "15408353"}, {"ref": "rautaki0127/plot-all-wifi-spot-in-one-floor", "kernel_id": "15039270"}, {"ref": "minakamikichi/wi-fi-nn-starter", "kernel_id": "15008789"}, {"ref": "tenghui1222/linear-regression-with-unified-wi-fi-feats", "kernel_id": "15931499"}, {"ref": "fiantop8/int-loc-mdl-v1", "kernel_id": "15829703"}, {"ref": "fiantop8/int-loc-test", "kernel_id": "15975289"}, {"ref": "fiantop8/ind-loc-bssidunique-v1", "kernel_id": "15997428"}, {"ref": "fiantop8/ind-loc-mdl-df-v1", "kernel_id": "15999072"}, {"ref": "nikitagrec/simple-eda-baseline-indoor-location", "kernel_id": "15458986"}, {"ref": "hondykuma/indoor-navigation-complete-data-understanding", "kernel_id": "15356806"}, {"ref": "egm108/fix-for-io-f-py-to-handle-missed-n", "kernel_id": "15460027"}, {"ref": "ghaiyur/lightgbm-regressor", "kernel_id": "15026785"}, {"ref": "aniruddhamandal/indore-loc-data-api", "kernel_id": "15028051"}, {"ref": "rafaelcartenet/scaled-floors-geojsons-new-dataset", "kernel_id": "15312651"}, {"ref": "ebinan92/time-series-rnn-xy-prediction", "kernel_id": "15733371"}, {"ref": "ktgiahieu/tabnet-baseline-wifi-features-32", "kernel_id": "15355221"}, {"ref": "ktgiahieu/visualize-all-paths-each-floor-and-predicted-paths", "kernel_id": "15419770"}, {"ref": "jh8102/pca-experiment", "kernel_id": "15756315"}, {"ref": "shinomoriaoshi/iln-transformer-inference", "kernel_id": "15296089"}, {"ref": "shinomoriaoshi/iln-transformer-train-oof", "kernel_id": "15559912"}, {"ref": "higepon/generate-wifi-features-5-times-faster", "kernel_id": "15035260"}, {"ref": "higepon/visualize-submissions-with-post-processing", "kernel_id": "15996698"}, {"ref": "higepon/how-to-fix-malformed-train-test-data", "kernel_id": "15735667"}, {"ref": "ghaithkhlifi/indoor-navigation", "kernel_id": "15427671"}, {"ref": "dailysergey/indoor-newbie-blend", "kernel_id": "15181836"}, {"ref": "luffy521/lstm-by-pytorch-with-unified-wi-fi-feats", "kernel_id": "15465772"}, {"ref": "sianggo/indoor-navigation-complete-data-understanding", "kernel_id": "15458847"}, {"ref": "kmldas/hungry-geese-leaderboard-analysis", "kernel_id": "15829856"}, {"ref": "meghamgarg/indoorlocationnavigation", "kernel_id": "15245447"}, {"ref": "ferhah/relative-positioning-using-imu", "kernel_id": "15583792"}, {"ref": "suryajrrafl/lightgbm-tuning-hyperopt-flaml", "kernel_id": "15957024"}, {"ref": "oxzplvifi/indoor-preprocessing-and-eda", "kernel_id": "15174159"}, {"ref": "oxzplvifi/indoor-gbm-postprocessing-xy-prediction", "kernel_id": "15175829"}, {"ref": "oxzplvifi/indoor-kmeans-gbm-floor-prediction", "kernel_id": "15175856"}, {"ref": "jerrymark611/mlp-by-keras-with-unified-wi-fi-feats", "kernel_id": "15664863"}, {"ref": "therocket290/lstm-unified-wi-fi-training-x-and-y-with-floor", "kernel_id": "15368970"}, {"ref": "therocket290/indoor-navigation-push-to-hallway-post-process", "kernel_id": "15572973"}, {"ref": "therocket290/make-hallway-masks", "kernel_id": "15573656"}, {"ref": "tomooinubushi/postprocessing-based-on-leakage", "kernel_id": "15844746"}, {"ref": "iamleonie/ibeacon-feasibility-analysis", "kernel_id": "15422380"}, {"ref": "saitodevel01/indoor-post-processing-by-cost-minimization", "kernel_id": "15590260"}, {"ref": "amarquezmazzeo/eda-loading-data-and-visualizing-paths", "kernel_id": "15621837"}, {"ref": "mehrankazeminia/part-b-indoor-navigation-snap-to-grid", "kernel_id": "15410283"}, {"ref": "mehrankazeminia/part-a-indoor-navigation-comparative-method", "kernel_id": "15405552"}, {"ref": "mehrankazeminia/1-3-indoor-navigation-cost-minimization-floor", "kernel_id": "15629758"}, {"ref": "mehrankazeminia/2-3-indoor-navigation-comparative-method", "kernel_id": "15740328"}, {"ref": "mehrankazeminia/3-3-g6-snap-to-grid-fix-the-timestamps", "kernel_id": "15763553"}, {"ref": "samratthapa/indoor-prediction-transformer", "kernel_id": "15012054"}, {"ref": "samratthapa/converting-building-features-to-csv", "kernel_id": "15511058"}, {"ref": "samratthapa/k-nearest-neighbor-wifi-features-runs-very-fast", "kernel_id": "15952481"}, {"ref": "dragonzhang/3-3-g6-indoor-navigation-snap-to-grid", "kernel_id": "15765247"}, {"ref": "satokiogiso/ensembling-for-better-performance", "kernel_id": "15221368"}, {"ref": "megner/consideration-of-floor", "kernel_id": "15615763"}, {"ref": "chandrylpaternetony/data-descript-outlier-detect-floor-mapping", "kernel_id": "15007789"}, {"ref": "kokitanisaka/make-dataset-with-wi-fi-and-beacon", "kernel_id": "15601814"}, {"ref": "kokitanisaka/more-possible-positions-in-the-buildings", "kernel_id": "15797837"}, {"ref": "kokitanisaka/create-unified-wifi-features-example", "kernel_id": "15203492"}, {"ref": "kokitanisaka/lstm-by-keras-with-unified-wi-fi-feats", "kernel_id": "15322152"}, {"ref": "ravillatejakumar/plotly-cheat-sheet1", "kernel_id": "15746819"}, {"ref": "vkehfdl1/for-korean-indoor-location-eda", "kernel_id": "15035409"}, {"ref": "arnaudcapitaine/get-indoor-location-by-means-of-kalman-smoother", "kernel_id": "15793435"}, {"ref": "jwilliamhughdore/99-80-floor-accurate-model-blstm", "kernel_id": "15764945"}, {"ref": "jwilliamhughdore/sequenced-post-processings-ready-prepped-for-use", "kernel_id": "15645156"}, {"ref": "aminef/generate-wifi-dataset-using-linear-interpolation", "kernel_id": "15929922"}, {"ref": "thegreatjayant/intro-to-indoor-location-navigation", "kernel_id": "15326741"}, {"ref": "omarhammemi/cost-minimization-advance", "kernel_id": "15603970"}, {"ref": "dungalex/dl-lab1", "kernel_id": "15942640"}, {"ref": "shivamkalkar/eda-and-fe-wifi-feature-hyper-parameter-tuning", "kernel_id": "15293794"}, {"ref": "davidemariani/indoor-location-navigation-eda", "kernel_id": "15150180"}, {"ref": "ravishah1/understanding-the-indoor-loc-github-data-eda", "kernel_id": "15729297"}, {"ref": "nooblife/indoor-location-rnn-data-v2", "kernel_id": "15606413"}, {"ref": "nooblife/indoor-navigation-snap-to-grid-post-processing", "kernel_id": "15664082"}, {"ref": "nooblife/indoor-location-post-processing", "kernel_id": "15684385"}, {"ref": "museas/order-to-use-post-processing", "kernel_id": "15687839"}, {"ref": "lastguardian/fix-all-test-timestamps-with-ibeacon-and-wifi", "kernel_id": "15754905"}, {"ref": "roshanjayaraman/eda-loading-data-and-visualizing-paths", "kernel_id": "15624181"}, {"ref": "davidjiang1/indoor-navigation-homework-1", "kernel_id": "15511569"}, {"ref": "hemrajsurti1/generate-sensor-wifi-becon-dataset-and-analysis", "kernel_id": "15648841"}, {"ref": "joelqv/where-are-your-predictions-located-shapely", "kernel_id": "16881033"}, {"ref": "joelqv/multioutput-mlp-weighted-loss", "kernel_id": "16375887"}, {"ref": "tomwarrens/torch-dataloader-unet-floor-images", "kernel_id": "16506341"}, {"ref": "mavillan/iln-iterative-correction", "kernel_id": "16837002"}, {"ref": "aristotelisch/with-magn-cost-minimization", "kernel_id": "16251515"}, {"ref": "paulfornia/iln-06-5-two-snaps", "kernel_id": "16878520"}, {"ref": "ehsannashe/some-tips-about-the-data", "kernel_id": "16168301"}, {"ref": "yuzusan/data-pre-processing-to-csv", "kernel_id": "16136140"}, {"ref": "lhagiimn/ensemble-best-lbs", "kernel_id": "16267612"}, {"ref": "fiantop8/ind-loc-fxy-max", "kernel_id": "16104279"}, {"ref": "fiantop8/kouki-lstm-wifi-ibeacon-v2", "kernel_id": "16853291"}, {"ref": "fiantop8/ind-loc-wifi-ibeam-test-df", "kernel_id": "16698936"}, {"ref": "fiantop8/kouki-lstm-edited", "kernel_id": "16685594"}, {"ref": "fiantop8/ind-loc-wifi-ibeam-df", "kernel_id": "16691054"}, {"ref": "mm1931/imu-data-load-and-pre-processing", "kernel_id": "16707229"}, {"ref": "mhilmiasyrofi/magn-cost-minimization-post-processing", "kernel_id": "16495120"}, {"ref": "ymatioun/indoor-navigation-fingerprinting-ym", "kernel_id": "16921280"}, {"ref": "kuto0633/linear-interpolation-for-waypoint-in-wifi-dataset", "kernel_id": "16017621"}, {"ref": "ahmedewida/indoorlocation-ensembling", "kernel_id": "16345152"}, {"ref": "kmldas/indoor-location-lb-analysis", "kernel_id": "16002566"}, {"ref": "artemzapara/basic-eda-indoor-location-navigation", "kernel_id": "16017458"}, {"ref": "iwatatakuya/use-leakage-considering-device-id-postprocess", "kernel_id": "16643669"}, {"ref": "emilycsj/imu-velocity-steps-direction", "kernel_id": "16794576"}, {"ref": "harshsharma511/one-stop-understanding-eda-lightgbm", "kernel_id": "16261110"}, {"ref": "suryajrrafl/wifi-based-floor-mapping", "kernel_id": "16434502"}, {"ref": "suryajrrafl/waypoints-interpolated-to-wifi-timestamps", "kernel_id": "16043211"}, {"ref": "suryajrrafl/end-to-end-wifi-features-model", "kernel_id": "16688738"}, {"ref": "suryajrrafl/cnn-approach-to-wifi-features", "kernel_id": "16693006"}, {"ref": "suryajrrafl/interpolated-imu-data", "kernel_id": "16775025"}, {"ref": "hasinireddy/lstm-with-unified-wi-fi-ids", "kernel_id": "16926157"}, {"ref": "therocket290/creating-threshold-images", "kernel_id": "16866099"}, {"ref": "tomooinubushi/retrieving-user-id-from-leaked-wifi-feature", "kernel_id": "16060101"}, {"ref": "tomooinubushi/25th-public-sub-shortest-path-search", "kernel_id": "16629452"}, {"ref": "saitodevel01/background-ideas-of-cost-minimization-notebook", "kernel_id": "16786161"}, {"ref": "saitodevel01/generate-extra-grid-points", "kernel_id": "16822544"}, {"ref": "megner/pytorch-lightning-lstm", "kernel_id": "16339165"}, {"ref": "horsek/iln-preprocess-time-lag-table-of-test-data", "kernel_id": "16184095"}, {"ref": "horsek/ilnpre1-create-testsitedict", "kernel_id": "16181598"}, {"ref": "kokitanisaka/fix-snapped-waypoints", "kernel_id": "16960366"}, {"ref": "kokitanisaka/create-arrayed-map", "kernel_id": "16966454"}, {"ref": "ravillatejakumar/covid-19-analysis-in-india", "kernel_id": "16390765"}, {"ref": "avtobusbratiev/grid-generator", "kernel_id": "16930551"}, {"ref": "avtobusbratiev/shrinking-the-corridors", "kernel_id": "16942315"}, {"ref": "toyox2020/floor-estimation-by-wifi-timestamp", "kernel_id": "16824314"}, {"ref": "dongkyunkim/pytorch-lightning-lb-4-965-with-postprocessing", "kernel_id": "16756975"}, {"ref": "kinsomaz/intro-to-indoor-navigation-using-some-dataset", "kernel_id": "16113838"}, {"ref": "zacarysun/indoor-post-processing-by-cost-minimization", "kernel_id": "16553469"}, {"ref": "zacarysun/simple-99-accurate-floor-model", "kernel_id": "16547829"}, {"ref": "suandy7/predict-xy", "kernel_id": "16722528"}, {"ref": "raoumair98/indoor-location-and-navigation1", "kernel_id": "16553746"}, {"ref": "raoumair98/indoor-location-and-navigation", "kernel_id": "16548606"}, {"ref": "mingxinzhang/wifinet-by-pytorch", "kernel_id": "16711963"}, {"ref": "ravishah1/indoor-loc-nav-sensor-dataset-generation", "kernel_id": "16575448"}, {"ref": "pfoytik/light-gbm-indoorloc", "kernel_id": "16270949"}, {"ref": "pfoytik/indoorlocation-postprocess", "kernel_id": "16404231"}, {"ref": "pfoytik/extract-wifi-features", "kernel_id": "16155864"}, {"ref": "museas/with-magn-cost-minimization", "kernel_id": "16239630"}, {"ref": "anruvim/additional-code-mcs-research", "kernel_id": "16215684"}, {"ref": "echoyang99/lstm-by-keras-with-unified-wi-fi-feats", "kernel_id": "16902423"}, {"ref": "sonya1/notebook828fdcf165", "kernel_id": "16148275"}, {"ref": "yinjiayuan/with-magn-cost-minimization", "kernel_id": "16633023"}, {"ref": "vicensgaitan/11th-dynamic-programming-post-procesing", "kernel_id": "17052567"}, {"ref": "mamasinkgs/discrete-optimization-in-2nd-place-solution", "kernel_id": "17089585"}, {"ref": "vslaykovsky/simple-99-accurate-bayesian-floor-inference", "kernel_id": "17038948"}, {"ref": "diamondsnake/indoor-location-navigation", "kernel_id": "17431424"}, {"ref": "egm108/single-model-without-post-processing-fastai-based", "kernel_id": "17129956"}, {"ref": "rithwiksai/iot-assignment4", "kernel_id": "17054158"}, {"ref": "daaariiich/nonlinear-cost-minimization-with-geojson", "kernel_id": "17060684"}, {"ref": "suryajrrafl/geojson-data-generation", "kernel_id": "17080052"}, {"ref": "suryajrrafl/conv-se2seq-attention-model-imu-features", "kernel_id": "17008005"}, {"ref": "saitodevel01/11-pseudo-labeling-from-lb-2-586-with-retry", "kernel_id": "17011786"}, {"ref": "ryotayoshinobu/how-to-do-leaderboard-probing", "kernel_id": "17093604"}, {"ref": "nischaydnk/indoor-location-rnn-data-v2-wifi-feats", "kernel_id": "17057507"}, {"ref": "horsek/iln-x-y-training-and-inference-part-no-pp", "kernel_id": "17063983"}, {"ref": "horsek/iln-preprocess-id-dict-of-the-test-dataset", "kernel_id": "17064923"}, {"ref": "horsek/iln-preprocess-create-dataset-public", "kernel_id": "17064436"}, {"ref": "kokitanisaka/self-attentintive-lstm-by-keras", "kernel_id": "17054915"}, {"ref": "mingxinzhang/resnet-wifi-feature", "kernel_id": "17077180"}, {"ref": "anruvim/ml-train-valid-mcs-research", "kernel_id": "17164015"}, {"ref": "anruvim/post-proc-analysis-mcs-research", "kernel_id": "17395680"}, {"ref": "wduuah/indoor", "kernel_id": "20655709"}, {"ref": "ishanharshvardhan/hdtl-based-indoor-positioning-system", "kernel_id": "37453949"}, {"ref": "hongseonghyun/indoor-rnn-base", "kernel_id": "37362459"}, {"ref": "yuzatea/indoor-rnn-base-639503", "kernel_id": "38195430"}, {"ref": "cardata/indoor-location-navigation-analysis", "kernel_id": "60016117"}, {"ref": "jc4214/with-magn-cost-minimization", "kernel_id": "61976000"}, {"ref": "ryosukeabegg/location-comp-trainoutv2", "kernel_id": "70163408"}, {"ref": "reevabajaj/intro-to-indoor-location-navigation", "kernel_id": "76065845"}, {"ref": "heliangyuan/lstm-by-pytorch-with-unified-wi-fi-feats", "kernel_id": "79013471"}, {"ref": "huhang11/indoor-kmeans-gbm", "kernel_id": "80644541"}, {"ref": "aenaeas/notebookd18d401268", "kernel_id": "84970539"}, {"ref": "stanislavmitsai/indoor-location-navigation-eda", "kernel_id": "105309946"}, {"ref": "tamtrong/pjhsdot2", "kernel_id": "105816624"}]}
{"competition_id": "22565", "kernels": [{"ref": "ambisinistra/pca-oversampling", "kernel_id": "11959893"}, {"ref": "mrmorj/surprise-me-megafon-accelerator-solution", "kernel_id": "11904468"}, {"ref": "vvs1984/megafon-private-0-539", "kernel_id": "11973445"}, {"ref": "artembakalinskiy/random-forest-0-54587-private", "kernel_id": "11973606"}, {"ref": "iamsvp/feature-selection-grid-searching-catboost", "kernel_id": "11898676"}, {"ref": "sergeymakarin/megafon-catboost-votingclassifier-0-53672", "kernel_id": "11974825"}, {"ref": "artemglazunov1990/stacking", "kernel_id": "12006739"}, {"ref": "artemglazunov1990/model-selection-with-stats", "kernel_id": "12013730"}, {"ref": "artemglazunov1990/eda-and-feat-selection", "kernel_id": "12023080"}, {"ref": "lesiakisleva/3rd-place-adaboost-randomforest", "kernel_id": "12051383"}]}
{"competition_id": "22572", "kernels": [{"ref": "coolfamily77/14010974-0-80", "kernel_id": "11906650"}, {"ref": "skyil7/knn-classification-19011484", "kernel_id": "11893562"}, {"ref": "kwanyongcho/15011120-3-1", "kernel_id": "11871490"}, {"ref": "wcg1993/notebook8eda5b2464", "kernel_id": "11870265"}, {"ref": "leejinsoo/18011821-knn-classification", "kernel_id": "11909548"}, {"ref": "minzzzzi/18011809-diabetes", "kernel_id": "11799952"}, {"ref": "yujinhwang/3-knn-18011756", "kernel_id": "11829916"}, {"ref": "hanilevenshtein/notebookbac5bd5ca2", "kernel_id": "11800047"}, {"ref": "sumyeongjang/18011790-knn-classification", "kernel_id": "11920798"}, {"ref": "magogu/17011797-submit", "kernel_id": "11911492"}, {"ref": "yoonsikjo/18011862-classification", "kernel_id": "11841016"}, {"ref": "jeonginhee/17011851-0-78", "kernel_id": "11877368"}, {"ref": "mingxoxo/18011793-knn-classification", "kernel_id": "11826998"}, {"ref": "suzykwag/diabetes-knn-18011797", "kernel_id": "11872014"}, {"ref": "hyeinhailey/17011869-0-86000", "kernel_id": "11957592"}, {"ref": "dojinkyung18011765/18011765-3", "kernel_id": "11989276"}, {"ref": "joeunseo29/3-1-18011884", "kernel_id": "11801025"}, {"ref": "minjiyoung/knn-18011783", "kernel_id": "11916839"}, {"ref": "liv0vil/diabetes-18011817", "kernel_id": "11868967"}, {"ref": "jungeunkim17011857/17011857-0-80", "kernel_id": "11911550"}, {"ref": "lsumin/18011762-diabetes-knn", "kernel_id": "11905503"}, {"ref": "dayeonsung/18011868-knn-classification", "kernel_id": "11918581"}, {"ref": "leeyuuuri/18011760-diabets", "kernel_id": "11852115"}, {"ref": "sjmin99/18011784", "kernel_id": "11880108"}, {"ref": "hyeongjun0117/14011541f", "kernel_id": "11852457"}, {"ref": "euneun000/classification-18011710", "kernel_id": "11837200"}, {"ref": "seokugwak/15011495-knn-classification", "kernel_id": "11860279"}, {"ref": "dngdae/15011510-knn", "kernel_id": "11901710"}, {"ref": "choiyounyoung/17011798-0-78", "kernel_id": "11897866"}, {"ref": "hahyuncho/16010987-diabetes", "kernel_id": "11835327"}, {"ref": "yeonns2/knn-classification-17011599", "kernel_id": "11913949"}, {"ref": "suyeong130/knnnotebook947bfa7380", "kernel_id": "11912036"}, {"ref": "pooky0124/18011803-diabetes", "kernel_id": "12010642"}, {"ref": "youngminchoi/18011863-knn-diabetes", "kernel_id": "12037807"}, {"ref": "jjangjjae/16011157-diabetes", "kernel_id": "12037482"}, {"ref": "honggoo/16011169-diabates", "kernel_id": "12043665"}, {"ref": "parksehwan/16011146-3", "kernel_id": "12023747"}, {"ref": "yusikjo/notebookbeaf0ede51", "kernel_id": "13503781"}, {"ref": "leeminyoung/notebook2acb49a24a", "kernel_id": "13850312"}]}
{"competition_id": "22573", "kernels": [{"ref": "coolfamily77/14010974-1464-60924", "kernel_id": "11907115"}, {"ref": "skyil7/knn-regression-19011484", "kernel_id": "11894942"}, {"ref": "xown3197/knn-baseline", "kernel_id": "11786191"}, {"ref": "kwanyongcho/15011120-3-2", "kernel_id": "11877564"}, {"ref": "wcg1993/notebook1f5b5b008a", "kernel_id": "11870990"}, {"ref": "leejinsoo/18011821-knn-regression", "kernel_id": "11909550"}, {"ref": "minzzzzi/18011809-cabbage-price", "kernel_id": "11843837"}, {"ref": "yujinhwang/knn-18011756", "kernel_id": "11830021"}, {"ref": "hanilevenshtein/sdgfsdf", "kernel_id": "11806118"}, {"ref": "sumyeongjang/18011790-knn-regression", "kernel_id": "11920659"}, {"ref": "magogu/17011797-regression", "kernel_id": "11914693"}, {"ref": "yoonsikjo/18011862-regression", "kernel_id": "11841126"}, {"ref": "jeonginhee/17011851-1377", "kernel_id": "11878655"}, {"ref": "mingxoxo/18011793-knn-regression", "kernel_id": "11858438"}, {"ref": "suzykwag/cabbage-price-knn-18011797", "kernel_id": "11872111"}, {"ref": "hyeinhailey/17011869-1446-09823", "kernel_id": "11957670"}, {"ref": "dojinkyung18011765/18011765-knn-2", "kernel_id": "11989356"}, {"ref": "joeunseo29/2-18011884", "kernel_id": "11848569"}, {"ref": "minjiyoung/knn-cabbage-18011783", "kernel_id": "11917586"}, {"ref": "liv0vil/cabbage-18011817", "kernel_id": "11869111"}, {"ref": "youngminchoi/18011863-cabbage-price", "kernel_id": "11918513"}, {"ref": "jungeunkim17011857/knn-17011857", "kernel_id": "11912471"}, {"ref": "lsumin/18011762-cabbage-price", "kernel_id": "11905467"}, {"ref": "dayeonsung/18011868-knn-regression", "kernel_id": "11918674"}, {"ref": "leeyuuuri/18011760-cabbage", "kernel_id": "11852210"}, {"ref": "sjmin99/adfawefawf", "kernel_id": "11892280"}, {"ref": "hyeongjun0117/14011541-knn", "kernel_id": "11851787"}, {"ref": "euneun000/knnregression-18011710", "kernel_id": "11837390"}, {"ref": "seokugwak/15011495-knn-regression", "kernel_id": "11861312"}, {"ref": "dngdae/15011510-regression", "kernel_id": "11903320"}, {"ref": "choiyounyoung/17011798", "kernel_id": "11900772"}, {"ref": "hahyuncho/16010987-cabbage", "kernel_id": "11837742"}, {"ref": "yeonns2/knn-regression-17011599", "kernel_id": "11901154"}, {"ref": "suyeong130/knn-knn", "kernel_id": "11912796"}, {"ref": "pooky0124/18011803-2", "kernel_id": "12011494"}, {"ref": "jjangjjae/16011157-cabbage", "kernel_id": "12037527"}, {"ref": "honggoo/16011169-cabbage", "kernel_id": "12044694"}, {"ref": "parksehwan/16011146-3-2", "kernel_id": "12024176"}, {"ref": "leeminyoung/notebookd69f971876", "kernel_id": "13870364"}]}
{"competition_id": "22586", "kernels": []}
{"competition_id": "22597", "kernels": []}
{"competition_id": "22599", "kernels": []}
{"competition_id": "22607", "kernels": []}
{"competition_id": "22615", "kernels": []}
{"competition_id": "22618", "kernels": []}
{"competition_id": "22620", "kernels": []}
{"competition_id": "22622", "kernels": [{"ref": "djanderson07/getting-started-w-kaggle-notebooks", "kernel_id": "12030065"}, {"ref": "djanderson07/lab-3", "kernel_id": "12422493"}, {"ref": "djanderson07/lab-3-key", "kernel_id": "12445412"}, {"ref": "ouafaahmaddi/lab-3", "kernel_id": "12550018"}, {"ref": "lfrank14/lfrank-lab-4", "kernel_id": "12554923"}, {"ref": "camkay/lab-3-kay", "kernel_id": "12555764"}, {"ref": "chives/lab-3", "kernel_id": "12556865"}, {"ref": "akhilanekkanti/lab-3", "kernel_id": "12557434"}, {"ref": "jimwright64/lab-3-claire-thuy-jim", "kernel_id": "12557438"}, {"ref": "kivalinagrove/educ-654-lab-3", "kernel_id": "12557910"}, {"ref": "kivalinagrove/edld-654-lab-2", "kernel_id": "12420959"}, {"ref": "kivalinagrove/edld-654-lab-1", "kernel_id": "12288354"}, {"ref": "kivalinagrove/lab-5", "kernel_id": "12963545"}, {"ref": "kivalinagrove/fit-2", "kernel_id": "12921272"}, {"ref": "alejandragarciai/lab-3-agi", "kernel_id": "12553863"}, {"ref": "ashleylynnmiller/almiller-lab-4", "kernel_id": "12557349"}, {"ref": "nguyendata/lab-4", "kernel_id": "12557410"}, {"ref": "alexisadamsclark/lab-1-alexis", "kernel_id": "12311820"}, {"ref": "alexisadamsclark/lab-2-alexis", "kernel_id": "12423706"}, {"ref": "sgluck/lab-3-sgluck", "kernel_id": "12557223"}, {"ref": "jimwright64/fit-2-thuy-claire-jim", "kernel_id": "13001150"}, {"ref": "alexisadamsclark/lab-5-alexis", "kernel_id": "13026191"}]}
{"competition_id": "22627", "kernels": []}
{"competition_id": "22630", "kernels": [{"ref": "jowoen/pretest-1-randomforestregressor", "kernel_id": "11931408"}, {"ref": "jowoen/pretest-1-randomforestclassifier", "kernel_id": "11930528"}, {"ref": "kjwdubu/pretest-1-svmclassifier", "kernel_id": "11948847"}, {"ref": "xown3197/dnn-0-775", "kernel_id": "11834406"}, {"ref": "daechanhan/knn-baseline-0-80", "kernel_id": "11890181"}]}
{"competition_id": "22633", "kernels": [{"ref": "jowoen/pretest-2-randomforestregressor", "kernel_id": "11932354"}, {"ref": "kjwdubu/pretest-2-svmregressor", "kernel_id": "11949155"}, {"ref": "skyil7/eda-with-seaborn-and-dnn-regression-with-keras", "kernel_id": "11935104"}, {"ref": "xown3197/dnn-70-22", "kernel_id": "11817801"}, {"ref": "daechanhan/knn-baseline-67-28", "kernel_id": "11890182"}, {"ref": "lgh7654/xgbregressor", "kernel_id": "12593772"}]}
{"competition_id": "22636", "kernels": []}
{"competition_id": "22643", "kernels": []}
{"competition_id": "22646", "kernels": []}
{"competition_id": "22652", "kernels": []}
{"competition_id": "22654", "kernels": []}
{"competition_id": "22657", "kernels": [{"ref": "agamkashyap/pyramid-approach-sgd-lgbm", "kernel_id": "13193500"}, {"ref": "agamkashyap/product-analysis", "kernel_id": "13363625"}, {"ref": "kartiksama/learningbymonths", "kernel_id": "13570795"}]}
{"competition_id": "22661", "kernels": [{"ref": "pipehappy/notebookfdcd024751", "kernel_id": "11815040"}, {"ref": "feiqiujun/notebookof-tsc-u201714461-learning-others-code", "kernel_id": "11822267"}]}
{"competition_id": "22663", "kernels": []}
{"competition_id": "22668", "kernels": [{"ref": "snwman/project-all-files-feature-engineering", "kernel_id": "13607089"}, {"ref": "snwman/project-fe-kfold-2", "kernel_id": "13611794"}, {"ref": "snwman/xgb-fe-kfold", "kernel_id": "13625545"}, {"ref": "snwman/project-blending", "kernel_id": "13633666"}, {"ref": "mudit045/titans-final", "kernel_id": "13662171"}]}
{"competition_id": "22669", "kernels": [{"ref": "snwman/ml-assignment-malware-prediction", "kernel_id": "13222630"}, {"ref": "mudit045/ml-assignment2-resubmission", "kernel_id": "13269717"}]}
{"competition_id": "22683", "kernels": []}
{"competition_id": "22696", "kernels": []}
{"competition_id": "22697", "kernels": []}
{"competition_id": "22699", "kernels": [{"ref": "darrenpierre90/feature-engineering-workshop", "kernel_id": "12518806"}, {"ref": "brokenfungus/intro-scientific-python", "kernel_id": "12580341"}, {"ref": "amayam/final-basic-model-for-cais-x", "kernel_id": "12098096"}]}
{"competition_id": "22703", "kernels": []}
{"competition_id": "22704", "kernels": []}
{"competition_id": "22707", "kernels": []}
{"competition_id": "22715", "kernels": [{"ref": "jenghung/eda-testing", "kernel_id": "11851262"}]}
{"competition_id": "22717", "kernels": []}
{"competition_id": "22720", "kernels": []}
{"competition_id": "22722", "kernels": []}
{"competition_id": "22723", "kernels": [{"ref": "ashutoshbajpai2111/ml-project", "kernel_id": "12889210"}]}
{"competition_id": "22724", "kernels": []}
{"competition_id": "22725", "kernels": []}
{"competition_id": "22726", "kernels": [{"ref": "opneshdewangan/notebookdf59aff286", "kernel_id": "13278885"}]}
{"competition_id": "22728", "kernels": []}
{"competition_id": "22731", "kernels": []}
{"competition_id": "22738", "kernels": [{"ref": "curtisthacker/very-basic-titanic", "kernel_id": "11939679"}, {"ref": "kacecode/titanic-pandas-profiling-sample", "kernel_id": "11944445"}]}
{"competition_id": "22739", "kernels": []}
{"competition_id": "22748", "kernels": [{"ref": "polyai/exemple-solution", "kernel_id": "11866922"}, {"ref": "francisgosselin/exemple-solution", "kernel_id": "12013311"}]}
{"competition_id": "22754", "kernels": []}
{"competition_id": "22757", "kernels": []}
{"competition_id": "22759", "kernels": []}
{"competition_id": "22760", "kernels": []}
{"competition_id": "22765", "kernels": []}
{"competition_id": "22774", "kernels": [{"ref": "rohit2spce/heart-disease", "kernel_id": "12181001"}, {"ref": "josshithasumod/heart-disease", "kernel_id": "12205019"}, {"ref": "swastiksolanki/notebook526917a231", "kernel_id": "12208167"}, {"ref": "siddheshnawale/heart-disease-logistic-regression", "kernel_id": "12320111"}, {"ref": "avinemmatty/heart-disease", "kernel_id": "12204742"}, {"ref": "aditsha/heart-disease-binary-classifier", "kernel_id": "12190518"}, {"ref": "mahathes1232/kaggle-heart-disease-prediction", "kernel_id": "12208338"}, {"ref": "akashvarun/kaggle-heart-disease-classification", "kernel_id": "12186886"}]}
{"competition_id": "22775", "kernels": [{"ref": "abhisheksingh000261/notebookd7dd1e9c2a", "kernel_id": "12204140"}, {"ref": "deepeshmehta/grocery-classification-aarush-challange", "kernel_id": "12184665"}, {"ref": "akshaykumar02/notebook7614190b5d", "kernel_id": "12205410"}, {"ref": "snehithabarukula/problemstatement1sol", "kernel_id": "12199879"}]}
{"competition_id": "22782", "kernels": [{"ref": "lijie97/notebook482db71bdd", "kernel_id": "11923049"}, {"ref": "wallrider/notebook-starcraft-fabien-gelus-5if", "kernel_id": "11893071"}, {"ref": "graziaribbeni/projet-dm-dataviz", "kernel_id": "11913598"}, {"ref": "quentinferro/notebook-quentin-ferro", "kernel_id": "11894379"}, {"ref": "aminegadacha/starcraft-2", "kernel_id": "11973136"}, {"ref": "pierreyvesgenest/gradient-boosting-presentation", "kernel_id": "12779837"}, {"ref": "robertcinciuc/starcraft-2-notebook-3", "kernel_id": "12673567"}, {"ref": "sofianeben/game-analysis-star-craft-2-presentation", "kernel_id": "12219012"}, {"ref": "thanhtrahuynhhuu/asianfusion-starcraft-2-player-prediction-2020", "kernel_id": "12743370"}, {"ref": "miguelalho/fork-of-notebook8f6f1652bc-e613c1", "kernel_id": "12897400"}, {"ref": "teckwan/ot2-spp", "kernel_id": "12138385"}, {"ref": "xiongluoxiaofan/xiong-luoxiaofan", "kernel_id": "12684367"}, {"ref": "ciamar/starcraft", "kernel_id": "13084662"}, {"ref": "lijie97/notebookcbdfeb1457", "kernel_id": "13019402"}, {"ref": "chanelejourdan/jcg-starcraft-2-prediction-challenge-2020", "kernel_id": "13264193"}, {"ref": "houdaouhssain/starcraft-2-player-prediction-lasri-ouhssain", "kernel_id": "13533760"}, {"ref": "yucongzhao/starcraft", "kernel_id": "13031606"}, {"ref": "ayoubelhabbass/game-analysis-star-craft-2-v2", "kernel_id": "13086784"}, {"ref": "ayoubelhabbass/starcraft-v10", "kernel_id": "13077821"}, {"ref": "aminegadacha/game-analysis-star-craft-2-v1", "kernel_id": "13059567"}, {"ref": "aminegadacha/game-analysis-star-craft-2-v2", "kernel_id": "13085574"}, {"ref": "bosioa/notebookebosiost2", "kernel_id": "13075424"}]}
{"competition_id": "22804", "kernels": [{"ref": "anshumoudgil/games-strategy-ideas-from-eda", "kernel_id": "8073041"}, {"ref": "robikscube/nfl-impact-detection-eda", "kernel_id": "12925383"}, {"ref": "anshumoudgil/detecting-impact-s-paremeters", "kernel_id": "12939138"}, {"ref": "hamditarek/helmet-tracking-system-for-nfl", "kernel_id": "12963247"}, {"ref": "alibaba19/impact-eda", "kernel_id": "12924571"}, {"ref": "nayuts/nfl-dataset-quick-overview", "kernel_id": "12931565"}, {"ref": "roshankumarg/eda-the-hidden-secret-of-data", "kernel_id": "12503432"}, {"ref": "roshankumarg/4-c-s-every-data-passionate-must-know", "kernel_id": "12549346"}, {"ref": "mrutyunjaybiswal/nfl-impact-detection-eda-helmetdetection-explained", "kernel_id": "12927323"}, {"ref": "samhuddleston/nfl-1st-and-future-getting-started", "kernel_id": "12713622"}, {"ref": "tjungblut/detecting-helmets-with-detectron2", "kernel_id": "13287499"}, {"ref": "hengck23/notebook469e6bbb44", "kernel_id": "13922967"}, {"ref": "hengck23/notebook409333dc67", "kernel_id": "13900913"}, {"ref": "yassinealouini/eda-nfl-impact", "kernel_id": "13304144"}, {"ref": "ttahara/nfl-id-how-extract-frames-from-train-videos", "kernel_id": "13296337"}, {"ref": "its7171/2class-object-detection-inference", "kernel_id": "13162799"}, {"ref": "its7171/2class-object-detection-training", "kernel_id": "13162477"}, {"ref": "daigohirooka/optical-flow-estimation-using-raft", "kernel_id": "13474895"}, {"ref": "tiandaye/infer-yolov5", "kernel_id": "13354948"}, {"ref": "sumityadav/nfl-tfrecord", "kernel_id": "13758393"}, {"ref": "mrnnnn/create-annotated-videos", "kernel_id": "13058521"}, {"ref": "ar2017/efficientdet-train-mixup-cutmix-stratifiedk-fold", "kernel_id": "13286699"}, {"ref": "hidehisaarai1213/nfl-impact-impact-time-estimation-with-lstm", "kernel_id": "13601035"}, {"ref": "hidehisaarai1213/nfl-impact-create-tracking-animation", "kernel_id": "13423818"}, {"ref": "pabloberhauser/icevision-inference", "kernel_id": "13250842"}, {"ref": "cdeotte/nfl-2d-detect-3d-classify-0-515", "kernel_id": "13993109"}, {"ref": "miyakawa2286/check-augmentations", "kernel_id": "13670762"}, {"ref": "razatabish/train-fasterrcnn-impact-detection", "kernel_id": "13320265"}, {"ref": "akashsuper2000/both-zones-2class-object-detection-strict-filter", "kernel_id": "13587315"}, {"ref": "ks2019/eff-det-with-player-assignment", "kernel_id": "13685321"}, {"ref": "li325040229/using-randomforest-to-predict-impact", "kernel_id": "13549605"}, {"ref": "artkulak/both-zones-2class-object-detection-strict-filter", "kernel_id": "13336459"}, {"ref": "artkulak/2class-object-detection-inference-with-filtering", "kernel_id": "13299516"}, {"ref": "franchesoni/nfl-object-detection-inference-given-notebook", "kernel_id": "13262436"}, {"ref": "aravindnaidu/ultimate-guide-to-get-started-on-nfl-impact-det", "kernel_id": "13010341"}, {"ref": "aravindnaidu/ultimate-eda-nfl-impact-detection", "kernel_id": "13288330"}, {"ref": "illlusion/2class-object-detection-training", "kernel_id": "13702698"}, {"ref": "c7934597/both-zones-2class-object-detection-strict-filter", "kernel_id": "13741497"}, {"ref": "s903124/perspective-transform-of-helmet-and-tracking-data", "kernel_id": "13256889"}, {"ref": "jamsilkaggle/2class-object-detection-evaluation", "kernel_id": "13827157"}, {"ref": "nvnnghia/evaluation-metrics", "kernel_id": "13285645"}, {"ref": "arthurlirui/test-submission", "kernel_id": "13845981"}, {"ref": "ahmedewida/nfl-object-detection-inference", "kernel_id": "13233874"}, {"ref": "hiraiitsuki/det-tta-net-2d3d", "kernel_id": "13956418"}, {"ref": "robin26091991/nfl-helmet-impact-detection-computer-vision-system", "kernel_id": "13375691"}, {"ref": "morizin/metric-on-baseline", "kernel_id": "13822652"}, {"ref": "doanquanvietnamca/fastercnn-resnet50", "kernel_id": "13652637"}, {"ref": "awsaf49/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "13924410"}, {"ref": "glebkum/helmets-detection-faster-r-cnn", "kernel_id": "13014468"}, {"ref": "utkarshxy/object-detection-with-yolo-complete-theory-5mins", "kernel_id": "13805247"}, {"ref": "jinssaa/checking-impact-moment-from-video", "kernel_id": "13148564"}, {"ref": "jinssaa/create-coco-anntations", "kernel_id": "13030534"}, {"ref": "jinssaa/detecting-helmet-using-mmdetection-w-o-internet", "kernel_id": "13036415"}, {"ref": "jinssaa/detecting-impact-with-mmdetection-training", "kernel_id": "13243192"}, {"ref": "jinssaa/detecting-impact-with-mmdetection-inference", "kernel_id": "13243860"}, {"ref": "shayantaherian/nfl-training-fasterrcnn", "kernel_id": "13610564"}, {"ref": "divyanshuusingh/nfl-exploratory-data-analysis", "kernel_id": "13093233"}, {"ref": "petraderecskei/notebookcnlf-my2", "kernel_id": "13878445"}, {"ref": "petraderecskei/notenlf", "kernel_id": "13997543"}, {"ref": "robertlangdonvinci/nfl-helmet-impact-detection-fastai", "kernel_id": "13799205"}, {"ref": "riddhijani/nfl-1st-and-future-impact-detection-ee258-948dff", "kernel_id": "13523885"}, {"ref": "cdeotte/watch-submission-csv-as-video", "kernel_id": "14019588"}, {"ref": "ks2019/yolo-with-player-assignment-pp", "kernel_id": "14018577"}, {"ref": "kyoshioka47/team-tara-submission-2-stage-3d", "kernel_id": "14099293"}, {"ref": "morizin/14-class-efficientdet-detection-train", "kernel_id": "14144128"}, {"ref": "kirderf/52nd-place-yolov5-implementation", "kernel_id": "14031676"}, {"ref": "petraderecskei/nnlfbook-predict-score", "kernel_id": "14012705"}, {"ref": "petermichel/nfl-2d-detect-3d-classify-0-515", "kernel_id": "14757581"}, {"ref": "petermichel/pp-mod-of-2-stage-3d", "kernel_id": "14757477"}, {"ref": "nikitautin/35th-place-efficientdet-inference", "kernel_id": "15915080"}, {"ref": "nikitautin/35th-place-efficientdet-train", "kernel_id": "15874492"}, {"ref": "anshikag2210/detect-helmets-in-videos", "kernel_id": "16193207"}, {"ref": "sarojkatwal/optical-flow1", "kernel_id": "18581412"}, {"ref": "kausheeki01/nfl-2class-object-detection-inference", "kernel_id": "20110558"}, {"ref": "kreetyoihoinl/optical-flow-estimation-using-raft", "kernel_id": "22427165"}, {"ref": "orkatz2/yolo-video", "kernel_id": "29940807"}, {"ref": "athirah2012/quaterback-nfl-2023", "kernel_id": "33953819"}, {"ref": "faizannaseem9087/optical-flow-estimation", "kernel_id": "45301016"}, {"ref": "materwelon/2class-object-detection-training", "kernel_id": "55776549"}, {"ref": "apandeyyyy/project-2", "kernel_id": "55256017"}, {"ref": "devampatel23/optical-flow-estimation-using-raft", "kernel_id": "90390937"}]}
{"competition_id": "22805", "kernels": [{"ref": "robikscube/nfl-big-data-bowl-plotting-player-position", "kernel_id": "6156489"}, {"ref": "anshumoudgil/games-strategy-ideas-from-eda", "kernel_id": "8073041"}, {"ref": "jpmiller/some-best-practices-for-analytics-reporting", "kernel_id": "10227448"}, {"ref": "mathurinache/csv-to-feather-nfl-big-data-bowl-2021", "kernel_id": "12306635"}, {"ref": "mattgroff/notebooka2d9d81563", "kernel_id": "12334168"}, {"ref": "arikamlani/nfl-defensive-analysis", "kernel_id": "12351698"}, {"ref": "subbuvolvosekar/to-know-the-game-players-nfl-bowl-2021", "kernel_id": "12312206"}, {"ref": "isaienkov/nfl-big-data-bowl-2021-eda", "kernel_id": "12288958"}, {"ref": "hatfieldm48/separate-data-into-plays", "kernel_id": "12376808"}, {"ref": "hatfieldm48/visualized-animation-of-player-tracking", "kernel_id": "12386339"}, {"ref": "ar2017/identifying-coverage-scheme-among-defensive-backs", "kernel_id": "12563635"}, {"ref": "ar2017/nfl-big-data-bowl-2021-animating-players-movement", "kernel_id": "12524715"}, {"ref": "anshuls235/the-data-science-behind-nfl", "kernel_id": "12312137"}, {"ref": "cr0566/notebook0b274a13f8", "kernel_id": "12398540"}, {"ref": "docxian/nfl-bd-bowl-2021-evaluation-of-plays", "kernel_id": "12306124"}, {"ref": "docxian/nfl-bd-bowl-2021-players-and-play-evaluation", "kernel_id": "12297871"}, {"ref": "shahsquatch/a-bottom-up-approach-to-coverage-assignment", "kernel_id": "12421758"}, {"ref": "hungnguyen95/nfl-big-data-bowl-2021-plotting-player-heatmap", "kernel_id": "12313665"}, {"ref": "pelky33/standardize-tracking-data-add-separation-metrics", "kernel_id": "12787946"}, {"ref": "tombresee/nfl-eval", "kernel_id": "12340771"}, {"ref": "danitreisman/tackle-probability-and-the-value-of-a-tackle", "kernel_id": "12292247"}, {"ref": "danitreisman/defender-who-made-the-tackle", "kernel_id": "12535506"}, {"ref": "est092/passing-box-scores-a-visualization-approach", "kernel_id": "12752409"}, {"ref": "jastornaut/nfl-eda-2021-lean-clean-and-astroturf-green", "kernel_id": "12329472"}, {"ref": "mattlowrieds/lstm-timeseries-classification-for-pass-prediction", "kernel_id": "12541228"}, {"ref": "bsatterwhite3/quantifying-receiver-gravity-in-the-nfl", "kernel_id": "12842636"}, {"ref": "alihanozmm/data-wrangling-to-be-continued", "kernel_id": "12402201"}, {"ref": "rohansgl12/nfl-big-data-bowl-2021-eda", "kernel_id": "12336104"}, {"ref": "moremaaz/nfl-eda-player-team-analysis", "kernel_id": "12514110"}, {"ref": "s903124/getting-passer-and-receiver-identity-from-nfl-data", "kernel_id": "12346868"}, {"ref": "xhlulu/nfl-2021-animated-tracking-with-plotly-express", "kernel_id": "12616358"}, {"ref": "jfarrant/kalman-cornerback", "kernel_id": "12943762"}, {"ref": "connyfromtheblock/plus-minus-db-effect-on-qb-time-to-throw", "kernel_id": "12964233"}, {"ref": "tombliss/tutorial", "kernel_id": "12240803"}, {"ref": "tombliss/additional-data-coverage-schemes-for-week-1", "kernel_id": "12324774"}, {"ref": "tombliss/additional-data-targeted-receiver", "kernel_id": "12376543"}, {"ref": "khotijahs1/information-retrieval-nfl-big-data-bowl-2021", "kernel_id": "12481998"}, {"ref": "vmanav/read-large-datasets-in-seconds", "kernel_id": "12888416"}, {"ref": "shionoya/notebook252db5e15d", "kernel_id": "12535217"}, {"ref": "subinium/tips-for-making-the-informative-visualization", "kernel_id": "12792578"}, {"ref": "alibaba19/2021-nfl-big-data-bowl-eda", "kernel_id": "12288299"}, {"ref": "redwankarimsony/nfl-big-data-bowl-2021-reconnaissance-notebook", "kernel_id": "12336582"}, {"ref": "surenj/animating-a-random-play", "kernel_id": "12550691"}, {"ref": "jdruzzi/revised-bdb-data", "kernel_id": "12827961"}, {"ref": "jdruzzi/shadow-cornerback-coverage-analysis", "kernel_id": "12830745"}, {"ref": "ocampos16/nfl-big-data-bowl-2021", "kernel_id": "12318529"}, {"ref": "naim99/plays-analysis-graphs", "kernel_id": "12335834"}, {"ref": "curiousthom/epa-per-play-closest-defender-example", "kernel_id": "12582753"}, {"ref": "shoubhik23/nfl-big-data-bowl-2021-eda-visualization", "kernel_id": "12798445"}, {"ref": "ktl008/defensive-back-domination-nfl-big-data-bowl-2021", "kernel_id": "12654731"}, {"ref": "nayuts/nfl-big-data-bowl-2021-visualization", "kernel_id": "12299910"}, {"ref": "nayuts/tracking-data-vsualization-and-analisys", "kernel_id": "12485569"}, {"ref": "nayuts/nfl-how-to-create-nice-plots-3tips", "kernel_id": "12760373"}, {"ref": "stefancurtress/animate-plays-in-r", "kernel_id": "12880401"}, {"ref": "beomjunbae/most-successful-covers", "kernel_id": "12715889"}, {"ref": "beomjunbae/parsing-cover", "kernel_id": "12699048"}, {"ref": "beomjunbae/parsing-targets", "kernel_id": "12696992"}, {"ref": "mattptucha/dpi-predictions", "kernel_id": "12330069"}, {"ref": "mrutyunjaybiswal/nfl-big-data-bowl-defended-the-pass-play", "kernel_id": "12336046"}, {"ref": "dianaamiri/nfl-game-analytics", "kernel_id": "12443161"}, {"ref": "robkravec/nfl-big-data-bowl-animating-possession", "kernel_id": "12793036"}, {"ref": "eugeneghunlee/defensive-player-biometrics-analysis", "kernel_id": "12344618"}, {"ref": "vinayaknadig/expected-yac", "kernel_id": "12888777"}, {"ref": "simonminasse/defensive-pass-interference", "kernel_id": "12479413"}, {"ref": "henrygrover/rating-defense-on-learned-general-optimal-route", "kernel_id": "12288810"}, {"ref": "henriquejcardoso/bigdatabowl-draft3", "kernel_id": "12869246"}, {"ref": "saipavansaketh/data-exploration-and-visualization-nfl-bowl-2021", "kernel_id": "12411897"}, {"ref": "kldavis52/nfl-bigdata-competition", "kernel_id": "12496044"}, {"ref": "hariaakashk/nfl-2021", "kernel_id": "12563957"}, {"ref": "adamsonty/nfl-big-data-bowl-a-basic-field-control-model", "kernel_id": "12330303"}, {"ref": "ammarnassanalhajali/nfl-big-data-bowl-2021-animating-players", "kernel_id": "12797998"}, {"ref": "sridevidixit/dma-course-project", "kernel_id": "12892381"}, {"ref": "darreltrinh/trinh-vandevort-etienne-nfl-big-data", "kernel_id": "12406906"}, {"ref": "eiesustsegaye/epa-per-play-closest-defender-example", "kernel_id": "12561040"}, {"ref": "georgestultz/classifying-pass-plays-with-pre-snap-features", "kernel_id": "12537719"}, {"ref": "matthewkolakowski84/mkjd-nfl-big-data-bowl-2021", "kernel_id": "12850477"}, {"ref": "dogzapper/nfl-2021-i-m-about-to-pass-out", "kernel_id": "12653965"}, {"ref": "dogzapper/nfl-2021a-i-am-about-to-pass-out", "kernel_id": "12887416"}, {"ref": "dogzapper/nfl-2021a-i-m-about-to-pass-out", "kernel_id": "12816165"}, {"ref": "dogzapper/nfl-2021-i-am-about-to-pass-out", "kernel_id": "12817123"}, {"ref": "karthikchandu05/notebookf087f7c498", "kernel_id": "12754909"}, {"ref": "glimmung/thwart-no-thwart", "kernel_id": "13290174"}, {"ref": "glimmung/win-loss-probabilities", "kernel_id": "13018728"}, {"ref": "ryurko21/comparison-of-air-and-yac-value", "kernel_id": "13990198"}, {"ref": "fmarquez/passsing-effect", "kernel_id": "13203966"}, {"ref": "anthonyelhabr/assessing-pick-plays-and-how-they-re-defended", "kernel_id": "13305295"}, {"ref": "jessefis/nfl-big-data-bowl-2021-next-gen-stats", "kernel_id": "13953956"}, {"ref": "ijcrook/coverage2vec", "kernel_id": "13732509"}, {"ref": "chipkajb/ai-based-evaluation-of-nfl-pass-defenders-full", "kernel_id": "13489585"}, {"ref": "chipkajb/visualization", "kernel_id": "13225741"}, {"ref": "chipkajb/ai-based-evaluation-of-nfl-pass-defenders", "kernel_id": "13184349"}, {"ref": "animal/handegg-snapshot", "kernel_id": "13831460"}, {"ref": "adam1brownell/lost-on-revis-island", "kernel_id": "13608029"}, {"ref": "adam1brownell/setting-the-table-determining-coverage", "kernel_id": "13973480"}, {"ref": "dpakoh/sodas-and-pizza-its-a-joke-nfl-big-data-bowl", "kernel_id": "13822993"}, {"ref": "pelky33/identify-defenders-vulnerable-to-defensive-holding", "kernel_id": "13996103"}, {"ref": "sheilasr/nfl-big-data-bowl-2021", "kernel_id": "13970770"}, {"ref": "pvabish/comprehensive-pass-coverage-grading", "kernel_id": "13943824"}, {"ref": "hoofay/data-interrogation-and-yard-prediction", "kernel_id": "13815319"}, {"ref": "djblechn/field-ownership-above-expected", "kernel_id": "13966767"}, {"ref": "bg49623/press-coverage-level-analysis", "kernel_id": "13932939"}, {"ref": "hungryhungarian/model", "kernel_id": "13768732"}, {"ref": "sasin324/cb-analytics-nflbigdatabowl2021", "kernel_id": "13941526"}, {"ref": "bsatterwhite3/graph-analysis-for-pass-coverage", "kernel_id": "13042367"}, {"ref": "marcimarc/defensive-player-position-prediciton", "kernel_id": "13849664"}, {"ref": "marcimarc/field-control-theory", "kernel_id": "13056727"}, {"ref": "raviteja44/nfl-2021", "kernel_id": "13014189"}, {"ref": "ostromaj/notebookc54f81ac87", "kernel_id": "13636693"}, {"ref": "wonkydiamond/redepa-quantifying-good-coverage-but-no-throw", "kernel_id": "13756792"}, {"ref": "wonkydiamond/nfl-redepa-per-play", "kernel_id": "13737372"}, {"ref": "arteme/nfl-big-data-bowl-2021-and-reinforcement-learning", "kernel_id": "13977155"}, {"ref": "sfieldsg5/dysat-code", "kernel_id": "13738053"}, {"ref": "petracarrion/tips-for-making-the-informative-visualization", "kernel_id": "13799170"}, {"ref": "dexkill/player-coverage-analysis", "kernel_id": "13711539"}, {"ref": "calvinsmith625/xcomp-in-defensive-back-evaluation", "kernel_id": "13883811"}, {"ref": "kt199671/body-direction-analysis", "kernel_id": "13360545"}, {"ref": "ilburattinaio/modeling-movements-to-predict-dpi", "kernel_id": "13387761"}, {"ref": "jdruzzi/defender-evaluation-one-cut-routes-double-moves", "kernel_id": "13714371"}, {"ref": "jdruzzi/quantifying-press-coverage-ability", "kernel_id": "13327424"}, {"ref": "jdruzzi/pass-coverage-classification-80-recall", "kernel_id": "13159998"}, {"ref": "jdruzzi/defender-bite-velocity-on-play-action", "kernel_id": "13008605"}, {"ref": "acs4wq/algorithms-in-the-war-room", "kernel_id": "13995063"}, {"ref": "andrewyyip/pitch-control-model", "kernel_id": "13862138"}, {"ref": "michaelirene/expected-completions-saved-xcs", "kernel_id": "13450624"}, {"ref": "andrewakers9/impact-of-route-schemes-on-zone-defense-success", "kernel_id": "13929715"}, {"ref": "themariner/big-data-bowl", "kernel_id": "13043687"}, {"ref": "mjegle/the-geometry-of-lockdown-coverage-and-ball-skills", "kernel_id": "13376709"}, {"ref": "tjwillz31/defender-clustering-with-target-and-catch-models", "kernel_id": "13943312"}, {"ref": "pschlais/evaluating-man-and-zone-coverage-performance", "kernel_id": "13988745"}, {"ref": "jamesvenzor/defender-performance-by-pass-coverage-attribute", "kernel_id": "13970448"}, {"ref": "haljordan/modeling-player-biomechanics", "kernel_id": "13930592"}, {"ref": "danielmcgee/superbowlers-big-data-bowl-coverages-analysis", "kernel_id": "13929691"}, {"ref": "anzhemeng/nfl-defence-efficiency-analysis-ft-cyberpunk", "kernel_id": "13758667"}, {"ref": "helo87/help-defense-performance-metrics", "kernel_id": "13948861"}, {"ref": "helo87/helper-py", "kernel_id": "13949841"}, {"ref": "brendancox/adjusted-epa-per-primary-defender-analysis", "kernel_id": "13915506"}, {"ref": "iknottx/final-nfl-list-of-left-and-right-defenders", "kernel_id": "13182593"}, {"ref": "vinnieantunes/some-best-practices-for-analytics-reporting", "kernel_id": "13206265"}, {"ref": "utkarshxy/object-detection-with-yolo-complete-theory-5mins", "kernel_id": "13805247"}, {"ref": "virengadkari/ml-personnel-dropback-play-prediction", "kernel_id": "13988280"}, {"ref": "dutta64/pave-the-way-for-nfl-passing-analytics", "kernel_id": "13895439"}, {"ref": "vmurth/classifying-defensive-coverage-via-clustering", "kernel_id": "13784322"}, {"ref": "calvingrewal/notebooke032ae9e56", "kernel_id": "13978962"}, {"ref": "pranavrajaram/scramble-drill", "kernel_id": "13814226"}, {"ref": "indrmontvilait/big-bowl", "kernel_id": "13062252"}, {"ref": "ashwins19blc1169/nfl-players-data-analysis", "kernel_id": "13261647"}, {"ref": "ashwins19blc1169/data-science-behind-nfl-big-data-bowl-2021", "kernel_id": "13318493"}, {"ref": "stefanwalzergoldfeld/notebookd88b6c6394", "kernel_id": "13098746"}, {"ref": "petergirgis/analysis-player-positions-movement-using-animation", "kernel_id": "13152265"}, {"ref": "dusitest1/getting-started-with-100-flowers-on-tpu-testing", "kernel_id": "13534743"}, {"ref": "saadanhmir/predicting-pass-results", "kernel_id": "13950497"}, {"ref": "alexlivernois/kinematically-deriving-coverage-area", "kernel_id": "13931406"}, {"ref": "pannafelsen/team-defense-of-pass-plays-in-the-2018-nfl-season", "kernel_id": "13948667"}, {"ref": "jwerthan/nflbigdatabowl2021-caps-aggression-metric", "kernel_id": "13572173"}, {"ref": "tommyavery/thomas-avery-nfl-big-data-bowl-2021-modeling", "kernel_id": "13490035"}, {"ref": "pranavkhanna/analysing-philadelphia-eagles-sacks", "kernel_id": "13860315"}, {"ref": "johnmorgan11/pre-snap-positioning-and-grading-overall-coverage", "kernel_id": "13736013"}, {"ref": "jacobfain/chicago-booth-group", "kernel_id": "13521207"}, {"ref": "nicoletucker04/maximum-defender-depth-vs-epa", "kernel_id": "13994463"}, {"ref": "arjundubashi/epa-allowed-per-play", "kernel_id": "13989961"}, {"ref": "patrickseminatore/quantifying-the-x-factor", "kernel_id": "13544878"}, {"ref": "sridevidixit/kletech-5d-team02-dma", "kernel_id": "13234291"}, {"ref": "ionakanaanalu/defender-impact-on-pass-frequency-and-efficiency", "kernel_id": "13988284"}, {"ref": "christopherhanes/mind-the-pdc-gap", "kernel_id": "13229960"}, {"ref": "garrettschirmer/optimal-go-route-defensive-coverage", "kernel_id": "13779985"}, {"ref": "unstablecookie/nfl-2018-eda-dpi-detecion", "kernel_id": "13707223"}, {"ref": "zeynepharurluolu/nfl-big-data-bowl-2021-kernel", "kernel_id": "13358289"}, {"ref": "jorgeangeles/notebook14ab6baf00", "kernel_id": "13520469"}, {"ref": "siddchau/intended-receiver-prediction-before-qb-s-throw", "kernel_id": "13188695"}, {"ref": "johnsadak1/nfl-big-data-bowl-modeling", "kernel_id": "13417522"}, {"ref": "nathancunningham/nflplayercomparisons", "kernel_id": "13878146"}, {"ref": "nicholastwydell/nfl-big-data-bowl", "kernel_id": "13635269"}, {"ref": "emilyoconnell/box-safety-grading", "kernel_id": "13297928"}, {"ref": "utkarsh01fe18bcs243/nfl-big-data-bowl", "kernel_id": "13654859"}, {"ref": "benjaminclayton/rushing-the-passer-is-conventional-wisdom-wrong", "kernel_id": "13921648"}, {"ref": "jazzyquark/nfl-big-data-bowl-eda", "kernel_id": "13803801"}, {"ref": "leonardifrancesco/ibi-semper-est-victoria-ubi-concordia-est", "kernel_id": "13957476"}, {"ref": "skeller/beat-the-offense", "kernel_id": "14040049"}, {"ref": "sryo188558/hazard-modeling-for-passing-defense-evaluation", "kernel_id": "14089513"}, {"ref": "albert13/man-vs-zone-insights-for-a-defensive-coordinator", "kernel_id": "14017892"}, {"ref": "chrisfenton/uncharted-territory", "kernel_id": "14097143"}, {"ref": "ryurko21/create-player-level-summaries", "kernel_id": "14091110"}, {"ref": "ryurko21/create-example-rfcde-play-figure", "kernel_id": "14091198"}, {"ref": "ryurko21/evaluating-defender-ability-to-limit-yac", "kernel_id": "14091482"}, {"ref": "robikscube/normalized-closing-ratio-nfl-big-data-bowl-2021", "kernel_id": "14069048"}, {"ref": "kpelechrinis/bdb21-ghost-at-catch-yinzpy-fullmodel", "kernel_id": "14047261"}, {"ref": "msubbaiah/illuminating-the-defense", "kernel_id": "14074836"}, {"ref": "charger23/pass-defense-analysis", "kernel_id": "14032424"}, {"ref": "brown331/analyzing-pass-breakup-ability-using-xcompletion", "kernel_id": "14094226"}, {"ref": "prestonbiro/effective-coverage-area", "kernel_id": "14090532"}, {"ref": "asmaetoumi/weighted-assessment-of-defender-effectiveness", "kernel_id": "14017365"}, {"ref": "mlcameron1/notebookb7fbfd783c", "kernel_id": "14064784"}, {"ref": "mlcameron1/separation-coverage-area", "kernel_id": "14012231"}, {"ref": "louiszya/covernet-evaluating-coverages-with-a-cnn", "kernel_id": "14069909"}, {"ref": "davibf11/pass-coverage-classification-and-bayes-re-model", "kernel_id": "14084799"}, {"ref": "est092/vornoi-areas", "kernel_id": "14018934"}, {"ref": "marcimarc/synthesisdefensivebehavior", "kernel_id": "14078511"}, {"ref": "model284/a-defensive-player-coverage-evaluation-framework", "kernel_id": "14073911"}, {"ref": "aascott10/defenders-when-ball-arrives", "kernel_id": "14083647"}, {"ref": "sfieldsg5/evaluating-individual-coverage-after-the-throw", "kernel_id": "14093378"}, {"ref": "colonydrops/cb-rookie-report", "kernel_id": "14063167"}, {"ref": "es4vr17/random-player-effects-defensive-backs", "kernel_id": "14074261"}, {"ref": "powerthinking/how-nfl-pass-defenses-can-learn-from-poker-players", "kernel_id": "14093066"}, {"ref": "fabreeze/best-way-to-rank-the-secondary", "kernel_id": "14094310"}, {"ref": "reinerj1/evaluating-and-clustering-coverage-skill", "kernel_id": "14061564"}, {"ref": "jimking100/nfl-big-data-bowl-2021-final-submission", "kernel_id": "14067959"}, {"ref": "gberlin/football-defense-analysis", "kernel_id": "14039603"}, {"ref": "lashayfontenot/identification-evaluation-of-monsterbacks", "kernel_id": "14046860"}, {"ref": "basil1s/mcvay-s-rams-final-submission", "kernel_id": "14088880"}, {"ref": "acheema20/evaluating-pass-coverage-through-expected-points", "kernel_id": "14074251"}, {"ref": "arrowheadanalytics/targets-prevented-over-expected-bdb", "kernel_id": "14094456"}, {"ref": "masayoshimasayoshi/nfl-big-data-bowl-20210107-1200", "kernel_id": "14114460"}, {"ref": "danielmcgee/superbowlers-big-data-bowl-penalties-analysis-v1", "kernel_id": "14091270"}, {"ref": "henggaocai/blitz-project-nfl-big-data-bowl-2021", "kernel_id": "14063654"}, {"ref": "zachdrapkin/target-agnostic-evaluation-of-cbs-wrs", "kernel_id": "14093333"}, {"ref": "helo87/animateplay-py", "kernel_id": "14075961"}, {"ref": "benjenkins96/nfl-big-data-bowl-submission", "kernel_id": "14072710"}, {"ref": "benjenkins96/nfl-big-data-bowl-defense-against-the-pass", "kernel_id": "14092459"}, {"ref": "clarkdemasi1/attack-of-the-safeties-dga", "kernel_id": "14093534"}, {"ref": "samweinberg/field-control-visualization", "kernel_id": "14088293"}, {"ref": "matthewpaull/the-art-of-holding-a-lead", "kernel_id": "14039840"}, {"ref": "austinaranda/pass-stopped-predictor-plays-players-analysis", "kernel_id": "14042372"}, {"ref": "jacobhowenstein/team-and-individual-pass-coverage-performance", "kernel_id": "14076510"}, {"ref": "sahilbolar/tackles-over-expected", "kernel_id": "14038484"}, {"ref": "brockmorgan/fork-of-sdac-vt-big-data-bowl-challenge", "kernel_id": "14042712"}, {"ref": "enunenun/assessing-and-visualizing-simple-defensive-feature", "kernel_id": "14060109"}, {"ref": "henriquejcardoso/expected-sacks", "kernel_id": "14091044"}, {"ref": "profmartinbarron/nfl-pi-and-pass-success-ratings", "kernel_id": "14072250"}, {"ref": "ryandyoung/team-mqm-examining-cbs", "kernel_id": "14090897"}, {"ref": "stephenwilliams1990/best-nfl-defenders-in-man-and-zone-coverage", "kernel_id": "14460133"}, {"ref": "tejseth/random-forest-for-pass-coverages", "kernel_id": "14065703"}, {"ref": "kevkuhl/are-teams-pressing-at-the-right-times", "kernel_id": "14075625"}, {"ref": "benwashington/fork-of-b-washington-bigdatabowl1", "kernel_id": "14091391"}, {"ref": "matthewkane/the-value-of-space-occupation-for-nfl-dbs", "kernel_id": "14069365"}, {"ref": "dweiss2020/bernhardtroganweissbdb", "kernel_id": "14073433"}, {"ref": "harrylazerwitz/villanova-big-data-bowl", "kernel_id": "14076996"}, {"ref": "seanduan/notebooke9c8fe199a", "kernel_id": "14066235"}, {"ref": "raghavendrakulkarni/team-06-5c-socse-kletech-2", "kernel_id": "14074027"}, {"ref": "raghavendrakulkarni/team-06-5c-socse-kletech", "kernel_id": "14057668"}, {"ref": "lokeshpro/notebook1", "kernel_id": "14081127"}, {"ref": "pranavfartade/notebook86fb2c1c6e", "kernel_id": "14002309"}, {"ref": "nickfurey1/coverage-analysis-pre-snap-motion-analysis", "kernel_id": "14069858"}, {"ref": "ericsolbakken/a-coaches-guide-to-grading-the-cap", "kernel_id": "14072108"}, {"ref": "kendallthomas/the-effects-of-fatigue-on-defensive-coverage", "kernel_id": "14068040"}, {"ref": "timlivingston/nfl-data-bowl-submission-taking-the-bait", "kernel_id": "14092677"}, {"ref": "hughmccreery/hjmo-big-data-bowl-submission", "kernel_id": "14092431"}, {"ref": "dylanbose/bigdatabowl-gt-msa", "kernel_id": "14073781"}, {"ref": "jacobbleiweis/defending-play-action", "kernel_id": "14089992"}, {"ref": "cameronharrigan/nfl-big-data-bowl-2021-university-of-chicago", "kernel_id": "14011528"}, {"ref": "benhakimi/what-makes-good-coverage", "kernel_id": "14094065"}, {"ref": "johnyakovenko/mephi-nfl-bowl-big-data", "kernel_id": "14146840"}, {"ref": "juanjoguti/eda-predictions", "kernel_id": "14151129"}, {"ref": "opkaggle123/nfl-big-data-bowl-2021-submission", "kernel_id": "14088659"}, {"ref": "charlesgelman/hip-reaction-drill", "kernel_id": "14067211"}, {"ref": "pirogovskiy/course-project-nfl", "kernel_id": "16918553"}, {"ref": "pburke1977/nfl-big-data-bowl-plotting-player-position", "kernel_id": "17167721"}, {"ref": "aaronzpearson/modeling-player-biomechanics", "kernel_id": "18772320"}, {"ref": "aaronzpearson/modelling-speed-curves-from-nfl-data", "kernel_id": "19969030"}, {"ref": "vladzhurkin/notebook-lab2", "kernel_id": "20205081"}, {"ref": "aryandas1/cb-analysis", "kernel_id": "26963888"}, {"ref": "supritharangarajan/defenseplayer", "kernel_id": "33335200"}, {"ref": "nackii/nfl-browl-2021-007chakraphat", "kernel_id": "53782277"}, {"ref": "ratchanonkocharat/036-ratchanon", "kernel_id": "53786063"}, {"ref": "thanawatmayures/nfl-big-data-bowl-028thanawat", "kernel_id": "53782759"}, {"ref": "wannapatice/039-icewannapat", "kernel_id": "53786145"}, {"ref": "chuanhnguyn/jamie-plotting-player-position", "kernel_id": "53952837"}]}
{"competition_id": "22806", "kernels": [{"ref": "jpmiller/game-analyzer-halite-4-pe", "kernel_id": "10368466"}, {"ref": "mylesoneill/halite-playground-template-bot", "kernel_id": "11914635"}, {"ref": "yegorbiryukov/halite-swarm-intelligence-playground-edition", "kernel_id": "11921382"}, {"ref": "arunprathap/getting-started-with-halite-boilerplate", "kernel_id": "11909381"}, {"ref": "elvenmonk/halite-numpy-simulator-10x-performance-boost", "kernel_id": "12629811"}, {"ref": "alexandersmedley/halite-4-reinforcement-learning-tf-agents", "kernel_id": "13537140"}, {"ref": "josephamigo/halite-interface-introduction", "kernel_id": "30894396"}, {"ref": "josephamigo/halite-evaluator", "kernel_id": "31082000"}, {"ref": "jamessuryaputra/drone-grand-prix", "kernel_id": "53499269"}, {"ref": "t8101349/halite-by-two-sigma-rl", "kernel_id": "70093265"}, {"ref": "samarthpujari/halite-competition", "kernel_id": "74256797"}]}
{"competition_id": "22807", "kernels": []}
{"competition_id": "22810", "kernels": []}
{"competition_id": "22821", "kernels": []}
{"competition_id": "22825", "kernels": []}
{"competition_id": "22829", "kernels": [{"ref": "aruthart/zero-shot-pipeline-for-feature-extraction", "kernel_id": "12548872"}]}
{"competition_id": "22838", "kernels": [{"ref": "superant/lb-simulation", "kernel_id": "12687644"}, {"ref": "mik3hall/another-memory-based-agent-uses-memory-patterns", "kernel_id": "12999899"}, {"ref": "kambarakun/embed-object-into-py-script-by-pickle-dumps", "kernel_id": "12674386"}, {"ref": "jamesmcguigan/rock-paper-scissors-de-bruijn-sequence", "kernel_id": "12849519"}, {"ref": "jamesmcguigan/rock-paper-scissors-pi-bot", "kernel_id": "12849240"}, {"ref": "jamesmcguigan/rock-paper-scissors-anti-rotn", "kernel_id": "12848905"}, {"ref": "jamesmcguigan/rock-paper-scissors-greenberg", "kernel_id": "12848402"}, {"ref": "jamesmcguigan/rock-paper-scissors-rng-statistics", "kernel_id": "12788060"}, {"ref": "jamesmcguigan/rock-paper-scissors-xgboost", "kernel_id": "12755400"}, {"ref": "jamesmcguigan/rock-paper-scissors-random-agent", "kernel_id": "12753421"}, {"ref": "jamesmcguigan/rock-paper-scissors-weighted-random-agent", "kernel_id": "12753523"}, {"ref": "jamesmcguigan/rock-paper-scissors-statistical-prediction", "kernel_id": "12753804"}, {"ref": "jamesmcguigan/random-seed-search-nash-equilibrium-opening-book", "kernel_id": "12758817"}, {"ref": "jamesmcguigan/rock-paper-scissors-multi-stage-decision-tree", "kernel_id": "12996747"}, {"ref": "group16/rps-opponent-transition-matrix", "kernel_id": "12659964"}, {"ref": "group16/rps-roshambo-greenberg", "kernel_id": "12700594"}, {"ref": "group16/rps-roshambo-competition-greenberg", "kernel_id": "12721380"}, {"ref": "group16/rps-roshambo-comp-iocaine-powder", "kernel_id": "12721418"}, {"ref": "ttahara/rps-observe-and-predict-baseline", "kernel_id": "12698604"}, {"ref": "ttahara/rps-simple-baseline", "kernel_id": "12654123"}, {"ref": "seshurajup/rock-paper-scissors-mirror-agent", "kernel_id": "12653756"}, {"ref": "seshurajup/rock-paper-scissors-replay-json-eda", "kernel_id": "12653795"}, {"ref": "gpreda/rock-paper-scissors-strategies", "kernel_id": "12751911"}, {"ref": "ilialar/beating-mirror-agent", "kernel_id": "12666365"}, {"ref": "ilialar/multi-armed-bandit-vs-deterministic-agents", "kernel_id": "12667399"}, {"ref": "mainakchain/rps-getting-started-with-researched-winning-logic", "kernel_id": "12656778"}, {"ref": "kurupical/mixture-strategy", "kernel_id": "12687611"}, {"ref": "ollyattwood/xgboost-for-predicting-opponent-s-action", "kernel_id": "12981061"}, {"ref": "ihelon/rock-paper-scissors-agents-comparison", "kernel_id": "12662734"}, {"ref": "ihelon/rock-paper-scissors-nash-equilibrium-strategy", "kernel_id": "12661970"}, {"ref": "demonplus/rps-making-simple-baseline-more-random", "kernel_id": "12662976"}, {"ref": "sishihara/rps-sample-statistical", "kernel_id": "12657410"}, {"ref": "daniello20000/a-simple-machine-learing-approach", "kernel_id": "12681333"}, {"ref": "daniello20000/outguessing-by-parallel-scoring-and-bayes-pred", "kernel_id": "12722967"}, {"ref": "yosshi999/rps-create-counter-agents", "kernel_id": "12732511"}, {"ref": "kaerunantoka/rps-kerasrl-starter-simplerewordstrategy", "kernel_id": "12828644"}, {"ref": "yegorbiryukov/rock-paper-scissors-with-memory-patterns", "kernel_id": "12669612"}, {"ref": "itsuki9180/lstm-train-on-batch-approach", "kernel_id": "12702848"}, {"ref": "tidreyer/rps-test-environment", "kernel_id": "12785748"}, {"ref": "huyquoctrinh/little-funny-random", "kernel_id": "12660979"}, {"ref": "popketle/best-way-to-enjoy-this-game", "kernel_id": "12704652"}, {"ref": "ngxingyu/lowest-possible-score", "kernel_id": "12875052"}, {"ref": "rxngrxng/beginner-s-template-markov-decision-process", "kernel_id": "12833159"}, {"ref": "nguyenhung1903/observe-and-predict-baseline", "kernel_id": "12732854"}, {"ref": "tomokikmogura/frequency-based-agent", "kernel_id": "12687391"}, {"ref": "alexandersamarin/not-so-markov", "kernel_id": "12674497"}, {"ref": "alexandersamarin/decision-tree-classifier", "kernel_id": "12724257"}, {"ref": "petercnudde/2-line-estimation-of-stdev-of-random-agent-scores", "kernel_id": "12811917"}, {"ref": "dmitryyemelyanov/rps-nash-equilibrium-defeat", "kernel_id": "12721013"}, {"ref": "kochenoveugene/some-bayes", "kernel_id": "12882958"}, {"ref": "rashikrahmanpritom/simple-rps-number-theory", "kernel_id": "12714728"}, {"ref": "taahakhan/rps-cracking-random-number-generators", "kernel_id": "12816430"}, {"ref": "taahakhan/rps-agent-pool-evaluation", "kernel_id": "12672055"}, {"ref": "duythanhng/r-p-s-with-markov-chain", "kernel_id": "12719445"}, {"ref": "duythanhng/rps-simple", "kernel_id": "12660784"}, {"ref": "oimosanchi/rps-mirror-last-opponent-s-hand", "kernel_id": "12664862"}, {"ref": "peternagymathe/rps-stochastic-transition-matrix", "kernel_id": "12849347"}, {"ref": "jumaru/random-forest-random-rock-paper-scissors", "kernel_id": "12851281"}, {"ref": "jumaru/memory-patterns-vs-nash-equilibrium", "kernel_id": "12768760"}, {"ref": "jumaru/random-agent-identification-rock-paper-scissors", "kernel_id": "12929758"}, {"ref": "jumaru/not-so-markov-vs-nash-equilibrium", "kernel_id": "12730828"}, {"ref": "alexrebull/top-100-agents-eda", "kernel_id": "12803129"}, {"ref": "nxyginu/random-agent", "kernel_id": "12771866"}, {"ref": "purplepuppy/running-rpscontest-bots", "kernel_id": "12832089"}, {"ref": "glazed/evolving-finite-state-machines", "kernel_id": "13852438"}, {"ref": "jamesmcguigan/rps-episode-archive-dataset-eda", "kernel_id": "13328880"}, {"ref": "jamesmcguigan/rock-paper-scissors-multi-armed-tree-bandit", "kernel_id": "13310015"}, {"ref": "jamesmcguigan/rock-paper-scissors-anti-pi-bot", "kernel_id": "13359814"}, {"ref": "jamesmcguigan/rock-paper-scissors-anti-rotn-weighted-random", "kernel_id": "13359637"}, {"ref": "jamesmcguigan/rock-paper-scissors-sequential-strategies", "kernel_id": "13370529"}, {"ref": "jamesmcguigan/rock-paper-scissors-multi-armed-bandit", "kernel_id": "13096876"}, {"ref": "jamesmcguigan/rps-roshambo-comp-iocaine-powder", "kernel_id": "13043338"}, {"ref": "jamesmcguigan/rock-paper-scissors-memory-patterns", "kernel_id": "13456848"}, {"ref": "jamesmcguigan/rock-paper-scissors-decision-tree-ensemble", "kernel_id": "13476682"}, {"ref": "jamesmcguigan/rock-paper-scissors-anti-anti-pi-bot", "kernel_id": "13435131"}, {"ref": "jamesmcguigan/rock-paper-scissors-naive-bayes", "kernel_id": "13993370"}, {"ref": "stassl/agent-runner-with-progress-in-tensorboard", "kernel_id": "13033219"}, {"ref": "chavesfm/logistic-regression-online-learning-score-700", "kernel_id": "13841105"}, {"ref": "piotrekga/mixture-transition-distribution", "kernel_id": "13193276"}, {"ref": "returnofsputnik/votesprob-ensv2-40-sm4-nwin-nlos-gain-loss", "kernel_id": "13964266"}, {"ref": "booooooow/rps-multiprocessing-agent-comparisons", "kernel_id": "13232734"}, {"ref": "chrisbradley/we-wish-you-a-merry-christmas", "kernel_id": "13410950"}, {"ref": "debadri1010/trial", "kernel_id": "13958709"}, {"ref": "yegorbiryukov/career-path-of-abaddon-the-despoiler", "kernel_id": "13325279"}, {"ref": "chankhavu/going-meta-with-kumoko", "kernel_id": "13825181"}, {"ref": "chankhavu/rps-dojo", "kernel_id": "13279234"}, {"ref": "elvenmonk/high-performance-rps-dojo", "kernel_id": "13457713"}, {"ref": "stpeteishii/multi-armed-bandit-is-stronger-than-average", "kernel_id": "13642017"}, {"ref": "sunocos/very-simple-method", "kernel_id": "13244401"}, {"ref": "brandonnova/working-winning-algo", "kernel_id": "13342940"}, {"ref": "ahmedewida/rock-paper-scissors-xgboost", "kernel_id": "13461353"}, {"ref": "ahmedewida/rock-paper-scissors-pi-bot", "kernel_id": "13462837"}, {"ref": "okazakiber/rps-agent-top-50", "kernel_id": "13249964"}, {"ref": "naokimaeda/rps-multi-armed-bandit-4steps-105decay", "kernel_id": "13219815"}, {"ref": "yashasvipvv/pi-value-return", "kernel_id": "13048231"}, {"ref": "vzaguskin/rps-meta", "kernel_id": "13848497"}, {"ref": "ht5brer/check-top-agent", "kernel_id": "13191756"}, {"ref": "ht5brer/not-losing-strategy", "kernel_id": "13404037"}, {"ref": "swapnilbhange/rps-roshambo-programming-competition", "kernel_id": "13072636"}, {"ref": "moneebarifbbs/rock-paper-scissor-starting-point", "kernel_id": "13171047"}, {"ref": "moneebarifbbs/rock-paper-scissor-with-random", "kernel_id": "13079091"}, {"ref": "bryanthogerson/rps-psycho-100-70", "kernel_id": "13671741"}, {"ref": "makarbaderko/intuitive-strategies-for-rock-paper-scissors", "kernel_id": "13225330"}, {"ref": "jacobbarton/upper-confidence-bound-bandit-btk", "kernel_id": "13325806"}, {"ref": "jacobbarton/konami-code-btk", "kernel_id": "13347668"}, {"ref": "riccardosanson/rps-simple-rfind-agent", "kernel_id": "13614217"}, {"ref": "klmsathishkumar/rock-paper-scissors", "kernel_id": "13965045"}, {"ref": "saztorralba/rockpaperscissors-transitionprobs", "kernel_id": "13445678"}, {"ref": "leontkh/agent-runner-with-progress-in-tensorboard", "kernel_id": "13299385"}, {"ref": "sotozaki/rock-paper-scissors-minimum-simulation-sample", "kernel_id": "13075214"}, {"ref": "glazed/survivor-bias-evolved-finite-state-machine", "kernel_id": "14694068"}, {"ref": "superant/basic-count", "kernel_id": "14356067"}, {"ref": "superant/rps-geometry-silver-rank-by-minimal-logic", "kernel_id": "14146038"}, {"ref": "superant/anti-opp-transition-matrix-beating-stochastic", "kernel_id": "14548477"}, {"ref": "superant/anti-statistical", "kernel_id": "14469203"}, {"ref": "tonyrobinson/flatten", "kernel_id": "14537777"}, {"ref": "jamesmcguigan/rock-paper-scissors-irrational-agent", "kernel_id": "14575100"}, {"ref": "jamesmcguigan/rock-paper-scissors-irrational-search-agent", "kernel_id": "14575818"}, {"ref": "jamesmcguigan/rock-paper-scissors-lstm", "kernel_id": "14478817"}, {"ref": "jamesmcguigan/rock-paper-scissors-agents-comparison", "kernel_id": "14427905"}, {"ref": "stassl/what-can-we-learn-from-beating-geo-others", "kernel_id": "14603745"}, {"ref": "anmolkapoor/rps-rl-using-deep-q-network-dqn", "kernel_id": "14571672"}, {"ref": "returnofsputnik/votesprob-ensv3-5-0-5-iflose", "kernel_id": "14528150"}, {"ref": "booooooow/rps-leaderboard-race-animation", "kernel_id": "14652389"}, {"ref": "gasparavit/rps-random-strategies", "kernel_id": "14527926"}, {"ref": "gasparavit/rps-markov-ensemble", "kernel_id": "14457817"}, {"ref": "chrisbradley/rock-paper-scissors-tree", "kernel_id": "14063256"}, {"ref": "robga/beating-geometry-bot", "kernel_id": "14562448"}, {"ref": "robga/simulations-episode-scraper-match-downloader", "kernel_id": "14611507"}, {"ref": "nagiss/rps-stable-rating-estimation-leaderboards", "kernel_id": "14876847"}, {"ref": "nagiss/rps-leaderboard-analysis", "kernel_id": "14476139"}, {"ref": "chankhavu/kumoko-v2-8-strats-v1", "kernel_id": "14356363"}, {"ref": "chankhavu/can-you-beat-your-own-agent", "kernel_id": "14698115"}, {"ref": "apeplowski/independent-random-agent-generator", "kernel_id": "14548684"}, {"ref": "nelver/rock-paper-scissors-q-learning", "kernel_id": "14191037"}, {"ref": "yushg123/q-learning-works-score-900", "kernel_id": "14593279"}, {"ref": "simran1802/notebook09bf45b020", "kernel_id": "14376148"}, {"ref": "swapnilbhange/rsp-basic", "kernel_id": "14400198"}, {"ref": "swapnilbhange/rsp-random-forest", "kernel_id": "14443224"}, {"ref": "riadalmadani/xgboost", "kernel_id": "14122630"}, {"ref": "riadalmadani/extratreesclassifier", "kernel_id": "14259036"}, {"ref": "glebkum/learning-process-animation", "kernel_id": "14287485"}, {"ref": "glebkum/cnn-bot-for-rock-paper-scissors", "kernel_id": "14202357"}, {"ref": "enukuro/rps-part-of-the-near-gold-zone-solution", "kernel_id": "14612438"}, {"ref": "alincijov/rock-paper-scissors-genetic-algorithm", "kernel_id": "14393933"}, {"ref": "demche/rock-paper-scissors-beat-a-human-strategy", "kernel_id": "14077948"}, {"ref": "demche/rock-paper-scissors-leaderboard-eda", "kernel_id": "14407896"}, {"ref": "demche/rps-and-santa-2020-ranking-stability-eda", "kernel_id": "14628430"}, {"ref": "toyox2020/agent-that-uses-the-habit-of-opponent-s-hand", "kernel_id": "14702081"}, {"ref": "maostack/english-rps-xgboost-agent-for-beginner", "kernel_id": "14400194"}, {"ref": "johntermaat/layered-multi-window-counting-agent", "kernel_id": "14895243"}, {"ref": "shalnichandan/rock-paper-and-scissors-projects", "kernel_id": "14491057"}, {"ref": "pimscheele/rock-paper-scissors", "kernel_id": "14355896"}, {"ref": "kyleberdy/epsilon-greedy-application-with-12-algorithms", "kernel_id": "14110271"}, {"ref": "magicard/titanic-survivors-data-analyze", "kernel_id": "14532345"}, {"ref": "jtrotman/rock-paper-scissors-animated-shake-up-plot", "kernel_id": "15110510"}, {"ref": "ollyattwood/hit-and-run-with-sliding-trees-top-3-silver", "kernel_id": "15095807"}, {"ref": "nikhiljohnk/rps-gambit-22nd-position-silver-solution", "kernel_id": "15100692"}, {"ref": "enukuro/rps-8th-place-solution", "kernel_id": "15095561"}, {"ref": "watanabekazuo/12th-place-solution-lightgbm-model", "kernel_id": "15095682"}, {"ref": "iamprajapatirahul/simple-and-basic-rock-paper-scissors", "kernel_id": "15525091"}, {"ref": "purplepuppy/purple-puppy-rps-bot", "kernel_id": "15119080"}, {"ref": "faduregis/multi-armed-bandit-vs-deterministic-agents", "kernel_id": "30574547"}, {"ref": "dameer/edit-homework", "kernel_id": "33771363"}, {"ref": "saabet/rock-paper-scissors-classification-alexnet", "kernel_id": "37487333"}, {"ref": "kushagrekaushik/notebook4f74aaf993", "kernel_id": "49394733"}, {"ref": "rijuljain2003/rockpaperscissorsrijul", "kernel_id": "50857894"}, {"ref": "yatharthgautam123789/rock-paper-scissors", "kernel_id": "54137066"}, {"ref": "ishanmathurkaggle28/rock-paper-scissor-unique-approach", "kernel_id": "58050098"}, {"ref": "martinmedeglia/roshambooo", "kernel_id": "58767288"}]}
{"competition_id": "22855", "kernels": []}
{"competition_id": "22859", "kernels": []}
{"competition_id": "22860", "kernels": []}
{"competition_id": "22863", "kernels": [{"ref": "milangabriel/breast-cancer-detection", "kernel_id": "20047794"}, {"ref": "almabady/breast-cancer-classification-knn-score-0-94", "kernel_id": "68435603"}, {"ref": "ivanburmaka/simple-adaboost-solution-0-97", "kernel_id": "96435688"}]}
{"competition_id": "22866", "kernels": [{"ref": "aicoder/notebookc8c09d232a", "kernel_id": "12036719"}]}
{"competition_id": "22872", "kernels": [{"ref": "rajashreedahal/rcustomer", "kernel_id": "12129384"}, {"ref": "gilangpanduparase/air-line-customer-segmentation", "kernel_id": "16259287"}, {"ref": "sudhanshuranjan999/airline-customer-segmentation", "kernel_id": "61274395"}, {"ref": "huilingwang1990/customer-segmentation", "kernel_id": "98484420"}]}
{"competition_id": "22873", "kernels": []}
{"competition_id": "22874", "kernels": [{"ref": "tojoh15/assignment-classification", "kernel_id": "11952181"}, {"ref": "tojoh15/assignment-classification-extended", "kernel_id": "12044698"}]}
{"competition_id": "22881", "kernels": [{"ref": "cristinakuo/h2p2-facial-recognition", "kernel_id": "16863724"}, {"ref": "newbee1905/h2p2-facial-recognition", "kernel_id": "56350498"}, {"ref": "lingkhanh/face-attendance-system", "kernel_id": "87526470"}, {"ref": "haminhnguyenxuan/cos30082finalassignment", "kernel_id": "97945643"}, {"ref": "haminhnguyenxuan/arcface", "kernel_id": "97944211"}, {"ref": "nguyentrinhkhoi/face-recognition", "kernel_id": "98283144"}]}
{"competition_id": "22899", "kernels": [{"ref": "slm37102/0-98216-imagenette-fastai", "kernel_id": "12437753"}, {"ref": "alexcei/transfer-learning-0-989", "kernel_id": "12490706"}, {"ref": "aniketmaurya/imagenette-v1", "kernel_id": "13338596"}]}
{"competition_id": "22901", "kernels": []}
{"competition_id": "22904", "kernels": []}
{"competition_id": "22916", "kernels": [{"ref": "sidagar/gameprice-main", "kernel_id": "12030698"}]}
{"competition_id": "22918", "kernels": []}
{"competition_id": "22919", "kernels": []}
{"competition_id": "22923", "kernels": []}
{"competition_id": "22930", "kernels": []}
{"competition_id": "22931", "kernels": []}
{"competition_id": "22936", "kernels": []}
{"competition_id": "22938", "kernels": [{"ref": "vitorgt/pmr3508-california-housing", "kernel_id": "12653318"}, {"ref": "lopess/pmr3508-2020-58-california-housing", "kernel_id": "12427337"}, {"ref": "ekantem/notebook236c2ef557", "kernel_id": "12655534"}, {"ref": "guilhermesugahara/pmr3508-2020-20-tarefa-2", "kernel_id": "12651222"}, {"ref": "berbardo/pmr3508-2020-151-regress-o-california-housing", "kernel_id": "12323622"}, {"ref": "vitorcanineokomar/pmr3508-2020-161-californiahousing", "kernel_id": "12405075"}, {"ref": "thiagoyukio83/pmr3508-2020-11-californiahousing", "kernel_id": "12618340"}, {"ref": "therealnetto/9345620", "kernel_id": "12653672"}, {"ref": "joaoalexsb/pmr3508-2020-96-californiahousing", "kernel_id": "12582927"}, {"ref": "danielvitorp/pmr-3508-2020-118", "kernel_id": "12535562"}, {"ref": "pmr3508201918/pmr3508-2020-08-california-housing", "kernel_id": "12651172"}, {"ref": "sxcoder/pmr-3508-2020-147", "kernel_id": "12633655"}, {"ref": "felipekenzomashuda/pmr3508-2020-72-housing", "kernel_id": "12601680"}, {"ref": "enzobustos/pmr3508-2020-125-californiahousing", "kernel_id": "12612435"}, {"ref": "brunocaixetapiazza/pmr3508-2020-119-regression", "kernel_id": "12658745"}, {"ref": "gustavonunesribeiro/california-housing-regression", "kernel_id": "12536226"}, {"ref": "henriqueigaiwang/pmr3508-2020-38-californiahousing", "kernel_id": "12457478"}, {"ref": "danielmaloufcozzubo/pmr3508-2020-31-californiahousing", "kernel_id": "12632207"}, {"ref": "anaclaramioto/pmr3508-2020-89-project-2", "kernel_id": "12662297"}, {"ref": "gilbertovilar/california-housing-pmr3508-2020-13", "kernel_id": "12500373"}, {"ref": "marcelogug/pmr3508-2020-34-california-housig", "kernel_id": "12655750"}, {"ref": "jrafaelrn/pmr3508-2020-180-calif-rnia", "kernel_id": "12630936"}, {"ref": "eduardobaeninger/pmr3508-2020-166-california-housing", "kernel_id": "12633699"}, {"ref": "gustavomsilva/pmr3508-2020-134-2", "kernel_id": "12656888"}, {"ref": "mariafernandarezende/pmr3508-atividade-de-regress-o-175", "kernel_id": "12477467"}, {"ref": "pmr35082019135/pmr3508-2020-135-californiahousing", "kernel_id": "12600542"}, {"ref": "gusolive/pmr3508-2020-54-2", "kernel_id": "12655051"}, {"ref": "pmr35082020149/pmr3508-2020-149-california-housing", "kernel_id": "12653207"}, {"ref": "pmr3508202094/pmr3508-2020-94-california-housing", "kernel_id": "12556499"}, {"ref": "pmr3508202042/pmr-3508-2020-42-california-housing", "kernel_id": "12653758"}, {"ref": "pmr3508202087/pme3508-2020-87-californiahousing", "kernel_id": "12465347"}, {"ref": "pedromarzagao/pmr3508-2020-67-californiahousing", "kernel_id": "12633806"}, {"ref": "ltrschneider/pmr5308-2020-140-california-housing", "kernel_id": "12600513"}, {"ref": "pmr3508202027/pmr3508-2020-27-regressao", "kernel_id": "12596618"}, {"ref": "pmr3508202043/pmr3508-2020-43-california-housing", "kernel_id": "12568137"}, {"ref": "arthuralvestasca/pmr3508-2020-17-housing-ipynb", "kernel_id": "12617554"}, {"ref": "rodrigoreis2002/pmr3508-2020-173-californiahousing", "kernel_id": "12383861"}, {"ref": "pmr35082020177/pmr3508-2020-177-california-housing", "kernel_id": "12560915"}, {"ref": "pmr35082020165/pmr3508-2020-165-californiahousing", "kernel_id": "12600424"}, {"ref": "pmr35082020167/pmr3508-2020-167-californiahousing", "kernel_id": "12514449"}, {"ref": "pmr3508202071/pmr3508-2020-71-2", "kernel_id": "12653324"}, {"ref": "pmr3508202095/pmr3508-2020-95-californiahousing", "kernel_id": "12550083"}, {"ref": "pmr35082020148/pmr3508-2020-148-california-housing", "kernel_id": "12342519"}, {"ref": "pmr35082020153/pmr-3508-2020-153-californiahousing-regression", "kernel_id": "12630865"}, {"ref": "muriloccdemoura/pmr3508-2020-99-california", "kernel_id": "12655896"}, {"ref": "marcomatalani/pmr3508-2020-169-californiahousing", "kernel_id": "12645999"}, {"ref": "pmr3508202039/californiahousing", "kernel_id": "12479879"}, {"ref": "pmr35082020130/pmr3508-2020-130-california-housing", "kernel_id": "12566916"}, {"ref": "pmr3508202085/pmr3508-2020-85-california", "kernel_id": "12600238"}, {"ref": "pmr35082020144/pmr3508-2020-144-california-housing", "kernel_id": "12550632"}, {"ref": "pmr35082020226/pmr3508-2020-26-california-housing", "kernel_id": "12617392"}, {"ref": "alvarora/california-housing-pmr-3508-2020-5", "kernel_id": "12480804"}, {"ref": "pmr3508202012/pmr3508-2020-12-californiahousing", "kernel_id": "12532372"}, {"ref": "juliaemiivano/pmr3508-2020-156-california-housing", "kernel_id": "12617619"}, {"ref": "pmr3508202069/pmr3508-2020-69-regress-o", "kernel_id": "12538413"}, {"ref": "pmr35082020127/pmr3508-2020-127-california-housing", "kernel_id": "12592461"}, {"ref": "gabrielhmp/pmr3508-2020-121-california-housing", "kernel_id": "12654618"}, {"ref": "pmr3508202063/pmr3508-2020-63-california", "kernel_id": "12631242"}, {"ref": "guilhermenalinmoraes/pmr3508-2020-137-cali", "kernel_id": "12626727"}, {"ref": "julionagy/pmr3508-2020-163-california-housing", "kernel_id": "12652371"}, {"ref": "lucascoffonimorrone/pmr3508-2020-168-california-housing", "kernel_id": "12633678"}, {"ref": "pmr3508202029/pmr3508-2020-29-californiahousing", "kernel_id": "12628264"}, {"ref": "pmr35082020101/pmr3508-2020-101-regress-o-california-housing", "kernel_id": "12653035"}, {"ref": "pmr3508202091/pmr3508-2020-91-california-housing", "kernel_id": "12652803"}, {"ref": "pmr350820206/pmr3508-2020-6-californiahousing", "kernel_id": "12317924"}, {"ref": "jeancarlosmello/pmr3508-2020-114-california-housing", "kernel_id": "12608799"}, {"ref": "israelcubas/pmr3508-2020-104-california-housing", "kernel_id": "12650831"}, {"ref": "pmr35082020120/pmr3508-2020-120-california-housing", "kernel_id": "12650465"}, {"ref": "henriquebarros/pmr3508-2020-129-regression", "kernel_id": "12648858"}, {"ref": "pmr3508202082/pmr3508-2020-82-california", "kernel_id": "12634109"}, {"ref": "pmr3508202044/pmr3508-2020-44-californiahousing", "kernel_id": "12627676"}, {"ref": "lucaszagobds/pmr3508-2020-160-californiahousing", "kernel_id": "12549219"}, {"ref": "pmr35082020142/pmr3508-2020-142-californiahousing", "kernel_id": "12537614"}, {"ref": "rlosker/pmr3508-2020-41-californiahousing", "kernel_id": "12715383"}, {"ref": "pmr3508202014/pmr3508-2020-14", "kernel_id": "12635643"}, {"ref": "pmr35082020178/pmr3508-2020-178-californiahousing", "kernel_id": "12342611"}, {"ref": "pmr35082020157/pme3508-2020-157-regress-o-california-housing", "kernel_id": "12577637"}, {"ref": "pme3508202086/pmr3508-2020-86-california-housing", "kernel_id": "12656470"}, {"ref": "viniciusdamin/pmr3508-2020-133-california-housing", "kernel_id": "12534597"}, {"ref": "pmr35082020100/pmr3508-2020-100-regress-o-californiahousing", "kernel_id": "12656246"}, {"ref": "pmr3508202076/pmr3508-2020-76-notebook", "kernel_id": "12650299"}, {"ref": "pmr35082020132/pmr3508-2020-132-californiahousing", "kernel_id": "12647502"}, {"ref": "pmr35082020115/pmr3508-2020-115-california-housing", "kernel_id": "12651733"}, {"ref": "kentsuzuki/pmr3508-2020-47-california-housing", "kernel_id": "12518322"}, {"ref": "gustavofaia/pmr3508-2020-90-ep2", "kernel_id": "12628806"}, {"ref": "pmr3508202048/pmr3508-2020-48-cali-housing", "kernel_id": "12407052"}, {"ref": "pmr3508202050/pmr-3508-2020-50-regress-o-californiahousing", "kernel_id": "12480083"}, {"ref": "andrnagano/pmr3508-2020-138-california-housing", "kernel_id": "12656986"}, {"ref": "pmr35082020116/pmr3508-2020-116-california-housing", "kernel_id": "12616791"}, {"ref": "pmr35082020136/pmr3508-2020-136-californiahousing", "kernel_id": "12598130"}, {"ref": "franciscogaieski/pmr3508-2020-32-regressao", "kernel_id": "12602393"}, {"ref": "pmr3508202061/pmr3508-2020-61-california-housing", "kernel_id": "12405598"}, {"ref": "juliafrejat/pmr3508-2020-131-regress-o-californiahousing", "kernel_id": "12654828"}, {"ref": "pmr3508202088/pmr3508-2020-88-californiahousing", "kernel_id": "12561991"}, {"ref": "pmr3508202056n/pmr-3508-2020-56-regress-o-californiahousing", "kernel_id": "12632397"}, {"ref": "pmr3508202062/pmr3508-2020-62-california-housing", "kernel_id": "12653102"}, {"ref": "gabrielalencaar/pmr3508-2020-57-california-householding", "kernel_id": "12581868"}, {"ref": "gabrielcorteletti/pmr3508-2020-143-californiahousing", "kernel_id": "12633280"}, {"ref": "pmr35082020139/pmr3508-2020-139", "kernel_id": "12658708"}, {"ref": "jooceccarelli/pmr3508-2020-16-californiahousing", "kernel_id": "12633037"}, {"ref": "gustavogarciafrozoni/pmr3508-2020-65-californiahousing", "kernel_id": "12630540"}, {"ref": "angeloby/pmr3508-2020-77-californiahousing", "kernel_id": "12497463"}, {"ref": "yurilp/pmr3508-2020-108", "kernel_id": "12655352"}, {"ref": "pmr350820207/pmr3508-2020-7-california-housing", "kernel_id": "12663774"}, {"ref": "paollafurquimdaud/california-housing-pmr3508-2020-23", "kernel_id": "12658554"}, {"ref": "pmr3508202059/pmr3508-2020-59-california-housing", "kernel_id": "12614138"}, {"ref": "pmr3508202079/pmr3508-2020-79-california-housing", "kernel_id": "12616753"}, {"ref": "pmr35082020154/pmr3508-2020-154-california-housing", "kernel_id": "12652862"}, {"ref": "kaioogawa/pmr3508-2020-49-californiahousing", "kernel_id": "12613349"}, {"ref": "franciscommonteiro/pmr3508-2020-28-californiahousing", "kernel_id": "12652123"}, {"ref": "pmr35082020146/pmr3508-2020-146-california-housing", "kernel_id": "12599029"}, {"ref": "pmr35082020117/pmr3508-117-californa-housing", "kernel_id": "12662870"}, {"ref": "pmr3508202040/notebookec0e1f77a8", "kernel_id": "12651507"}, {"ref": "guilhermecampello/pmr3508-2020-81-californiahousing", "kernel_id": "12634401"}, {"ref": "pmr3508202093/pmr3508-2020-93-california-housing3", "kernel_id": "12656406"}, {"ref": "pmr35082020174/pmr3508-2020-174", "kernel_id": "12605713"}, {"ref": "pmr35082020112/pmr3508-2020-112-housingcalifornia", "kernel_id": "12656503"}, {"ref": "pmr3508202045/ep2-pmr3508-2020-45", "kernel_id": "12655411"}, {"ref": "pmr3508202046/pmr3508-2020-46-california-housing", "kernel_id": "12652382"}, {"ref": "julianofonseca/pmr3508-2020-106-regress-o", "kernel_id": "12657526"}, {"ref": "pmr3508202053/notebookeadd0f6105", "kernel_id": "12656071"}, {"ref": "pmr3508202053/pmr3508-2020-53-regression-with-californiahousing", "kernel_id": "12658276"}, {"ref": "pmr3508202075/pmr3508-2020-75-california-housing", "kernel_id": "12658508"}, {"ref": "guilhermedeatorres/pmr3508-2020-105-california-housing", "kernel_id": "12655531"}, {"ref": "andremreis/notebookf3f1fddf42", "kernel_id": "12657951"}, {"ref": "pmr350820209349840/pmr3508-2020-22-california-housing", "kernel_id": "12661567"}, {"ref": "pmr3508202015/pmr3508-2020-15", "kernel_id": "12632703"}, {"ref": "murillooliveira/pmr3508-2020-33-californiahousing", "kernel_id": "12649211"}, {"ref": "pmr350820202/pmr3508-2020-2-regress-o-californiahousing", "kernel_id": "12654866"}, {"ref": "pmr3508202066/pmr3508-2020-66", "kernel_id": "12655755"}]}
{"competition_id": "22939", "kernels": [{"ref": "davalpha/tow-mater-final", "kernel_id": "12166989"}]}
{"competition_id": "22940", "kernels": [{"ref": "ruihaozhang/cee498-project-robertzhang", "kernel_id": "12883737"}, {"ref": "yujingl2/exploratory-data-analysis-of-project-7-yujing-liu", "kernel_id": "12498089"}, {"ref": "longhuang1/exploratory-data-analysis-long-huang", "kernel_id": "12440258"}, {"ref": "yujingl2/cee498-project7-kagglecompetition-yujing-liu", "kernel_id": "13186704"}, {"ref": "longhuang1/cee-498-project-group-7-long-huang", "kernel_id": "13209303"}]}
{"competition_id": "22955", "kernels": [{"ref": "prakharprasad/classify-sports", "kernel_id": "12416086"}, {"ref": "blazer007/sports-image-classification-with-fastai", "kernel_id": "12666801"}, {"ref": "shrishtisrivastava04/notebook406f05a454", "kernel_id": "12413407"}, {"ref": "sethupavan12/classify-sports", "kernel_id": "13882803"}, {"ref": "ahmedmohamed365/efficentnet-for-image-classification-in-pytorch", "kernel_id": "33613819"}]}
{"competition_id": "22956", "kernels": []}
{"competition_id": "22958", "kernels": []}
{"competition_id": "22960", "kernels": [{"ref": "dogbert44/section-demo", "kernel_id": "12080621"}]}
{"competition_id": "22961", "kernels": []}
{"competition_id": "22962", "kernels": [{"ref": "knightbearr/python-cheat-sheet-knightbearr", "kernel_id": "20121331"}, {"ref": "lextoumbourou/happywhale-effnet-b6-fork-with-detic-crop", "kernel_id": "24815332"}, {"ref": "lextoumbourou/happywhale-tfrecords-with-bounding-boxes", "kernel_id": "24760069"}, {"ref": "lextoumbourou/happywhale-what-species-are-in-the-test-set", "kernel_id": "24701739"}, {"ref": "lextoumbourou/happywhale-adversarial-validation", "kernel_id": "24696424"}, {"ref": "lextoumbourou/happywhale-comprehensive-eda", "kernel_id": "24665538"}, {"ref": "crained/224-and-512-happy-whales-and-dolphins", "kernel_id": "24485819"}, {"ref": "crained/transfer-kaggle-dataset-to-amazon-s3-happy-whale", "kernel_id": "24808608"}, {"ref": "crained/happy-whales-edge-detection-gist", "kernel_id": "24701932"}, {"ref": "crained/happy-whales-threshold-binarization-gist", "kernel_id": "24732719"}, {"ref": "rajankumar/visuals-of-happywhale", "kernel_id": "24702845"}, {"ref": "icozma/some-simple-eda", "kernel_id": "24441873"}, {"ref": "usharengaraju/tensorflow-tpu-involutionalneuralnetworks", "kernel_id": "24795460"}, {"ref": "ronigur/images-resizing", "kernel_id": "24596781"}, {"ref": "manojprabhaakr/effnet-b6-whale-comp", "kernel_id": "24536385"}, {"ref": "kwentar/species-classification", "kernel_id": "24412992"}, {"ref": "kwentar/what-about-species", "kernel_id": "24421682"}, {"ref": "kwentar/test-data-species", "kernel_id": "24465257"}, {"ref": "kwentar/not-every-whale-is-a-whale", "kernel_id": "24466097"}, {"ref": "karthickp6/happy-whales-and-dolphins-eda", "kernel_id": "24348694"}, {"ref": "parksu92/whale-eda", "kernel_id": "24525952"}, {"ref": "nandodmelo/efficientnetb0-starter", "kernel_id": "24347728"}, {"ref": "art3mis/220227-happy-whales-yolo-cropping-implementation", "kernel_id": "24975887"}, {"ref": "seshurajup/happywhale-image-size-eda", "kernel_id": "24352021"}, {"ref": "gpreda/happy-whales-and-dolphins", "kernel_id": "24346045"}, {"ref": "gpreda/resize-images-of-happy-whales-and-dolphins", "kernel_id": "24458538"}, {"ref": "gpreda/images-sizes-makes-whales-and-dolphins-happy", "kernel_id": "24443192"}, {"ref": "vsedelnik/happywhale-dataset-image-normalization", "kernel_id": "24760820"}, {"ref": "taindow/pytorch-metric-learning-effnet-arcface", "kernel_id": "24739498"}, {"ref": "sapal6/can-we-use-a-network-to-understand-data", "kernel_id": "24708892"}, {"ref": "soumikrakshit/tensorflow-creating-tfrecords", "kernel_id": "24450812"}, {"ref": "ragnar123/happywhale-tf-records-detic-box-768x768", "kernel_id": "24881962"}, {"ref": "bsridatta/happierwhale-1500-manual-annotations", "kernel_id": "24719272"}, {"ref": "bsridatta/happywhale-extended-meta", "kernel_id": "24617527"}, {"ref": "bsridatta/happywhale", "kernel_id": "24418482"}, {"ref": "derrickmwiti/augmentation-with-albumentations", "kernel_id": "24540381"}, {"ref": "derrickmwiti/transfer-learning-does-it-work", "kernel_id": "24502999"}, {"ref": "derrickmwiti/simple-convolutional-neural-network", "kernel_id": "24484758"}, {"ref": "chiranjeevbit/whale-dolphin-identification-image-data", "kernel_id": "24362549"}, {"ref": "tenffe/pytorch-arcface-swin", "kernel_id": "24704218"}, {"ref": "dschettler8845/baseline-solution-train-indiv-model", "kernel_id": "24523721"}, {"ref": "dschettler8845/baseline-solution-train-species-model", "kernel_id": "24397687"}, {"ref": "dschettler8845/create-tfrecords-384x660", "kernel_id": "24394084"}, {"ref": "dschettler8845/eda-and-baseline-solution", "kernel_id": "24373886"}, {"ref": "dschettler8845/create-tfrecords-512x880", "kernel_id": "24597158"}, {"ref": "dschettler8845/name-those-whales", "kernel_id": "24773081"}, {"ref": "hamditarek/whale-and-dolphin-identification-eda", "kernel_id": "24345570"}, {"ref": "dwchen/fixed-train-set-with-folds", "kernel_id": "24784613"}, {"ref": "kanosawa/and-classification", "kernel_id": "24990014"}, {"ref": "wolfy73/filter-cropping-failure-cases", "kernel_id": "24758382"}, {"ref": "wolfy73/224x224-fast-cropped-dataset", "kernel_id": "24761656"}, {"ref": "wolfy73/pytorch-arcfaces-x-effnetb0", "kernel_id": "24823712"}, {"ref": "wolfy73/extract-more-information-from-images", "kernel_id": "24855707"}, {"ref": "wolfy73/enhanced-dataset-ensemble-of-tricks", "kernel_id": "24702522"}, {"ref": "wolfy73/all-public-bbox-datasets-5847", "kernel_id": "24963412"}, {"ref": "wolfy73/w-d-224x224-fast-dataset", "kernel_id": "24410788"}, {"ref": "wolfy73/pytorch-species-classification", "kernel_id": "24385443"}, {"ref": "kagglelyy/pytorch-arcface-gem-pooling-starter", "kernel_id": "24850057"}, {"ref": "meowmeowmeowmeowmeow/gentle-introduction-to-metric-learning", "kernel_id": "24345864"}, {"ref": "meowmeowmeowmeowmeow/species-classification-starter-tf-data-pipeline", "kernel_id": "24430198"}, {"ref": "tienen/pytorch-arcface-gem-pooling-starter", "kernel_id": "24430539"}, {"ref": "ks2019/happywhale-tfrecords", "kernel_id": "24345778"}, {"ref": "ks2019/happywhale-arcface-baseline-tpu", "kernel_id": "24355225"}, {"ref": "sadiqueabdullah/the-happy-tails", "kernel_id": "24350322"}, {"ref": "hot093054/happywhale-tpu-crop-db-kh-train", "kernel_id": "24661394"}, {"ref": "arunkr1/happywhale-eda", "kernel_id": "24380256"}, {"ref": "ayuraj/easy-pca-tsne-and-umap", "kernel_id": "24391169"}, {"ref": "ayuraj/train-pytorch-finetune-convnext", "kernel_id": "24358107"}, {"ref": "ayuraj/happywhale-eda-ids-to-images-using-w-b-tables", "kernel_id": "24342805"}, {"ref": "shubhambaid/detectron2-for-happywhale", "kernel_id": "24677724"}, {"ref": "tianmin/happy-whale-interactive-playground", "kernel_id": "24444263"}, {"ref": "lokesharya99/happy-whale-and-dolphin-an-eda", "kernel_id": "24438097"}, {"ref": "alexlwh/happywhale-flax-jax-tpu-gpu-resnet-baseline", "kernel_id": "24734401"}, {"ref": "putdejudomthai/whale-picture-visualization", "kernel_id": "24737782"}, {"ref": "heye0507/happy-whale-eda-baseline", "kernel_id": "24468659"}, {"ref": "aikhmelnytskyy/happywhale-arcface-baseline-eff-net-kfold5-0-652", "kernel_id": "24531404"}, {"ref": "aikhmelnytskyy/happywhale-effnet-b7-fork-with-detic-training", "kernel_id": "24866269"}, {"ref": "aikhmelnytskyy/happywhale-arcface-baseline-eff7-tpu-768-inference", "kernel_id": "24906859"}, {"ref": "stpeteishii/whale-dolphin-images-of-the-same-individual", "kernel_id": "24554439"}, {"ref": "stpeteishii/whale-dolphin-transfer-learning3", "kernel_id": "24432400"}, {"ref": "jpbremer/cropped-backfin-tfrecords-dataset", "kernel_id": "24982866"}, {"ref": "jpbremer/backfin-detection-with-yolov5", "kernel_id": "24966172"}, {"ref": "jpbremer/backfins-arcface-tpu-effnet", "kernel_id": "24973096"}, {"ref": "phanttan/happywhale-removebackground-create-dataset", "kernel_id": "24676182"}, {"ref": "phanttan/arcface-efficientv6-inference", "kernel_id": "24676692"}, {"ref": "phanttan/eda-happywhale", "kernel_id": "24640032"}, {"ref": "sahilchachra/whales-dolphins-eda-insights-analysis", "kernel_id": "24616905"}, {"ref": "palash97/happywhale-pytorch-vgg16-starter", "kernel_id": "24435005"}, {"ref": "newra008/happywhale-explore", "kernel_id": "24621517"}, {"ref": "frlemarchand/happywhale-camera-viewpoint-classification", "kernel_id": "24769542"}, {"ref": "mpwolke/keras-where-are-my-dolphins", "kernel_id": "24351649"}, {"ref": "drcapa/happywhale-2022-starter", "kernel_id": "24342485"}, {"ref": "ruchi798/and-identification-eda-augmentation", "kernel_id": "24342037"}, {"ref": "jtmk4752/train-pytorch-contrastive-crossbatchmem-annoy-qe", "kernel_id": "24352910"}, {"ref": "raininbox/pytorch-train-infer", "kernel_id": "24811452"}, {"ref": "andradaolteanu/whales-dolphins-effnet-train-rapids-clusters", "kernel_id": "24678164"}, {"ref": "andradaolteanu/whales-dolphins-effnet-embedding-cos-distance", "kernel_id": "24435468"}, {"ref": "awsaf49/happywhale-data-distribution", "kernel_id": "24343132"}, {"ref": "awsaf49/happywhale-cropped-data-prepare-yolov5", "kernel_id": "24485151"}, {"ref": "awsaf49/happywhale-boundingbox-yolov5", "kernel_id": "24441036"}, {"ref": "snoop2head/pytorch-0-374-effb5-kfold-with-focalloss", "kernel_id": "24617033"}, {"ref": "prikshitsingla/happy-whale-kernel", "kernel_id": "24585188"}, {"ref": "igorkf/happywhale-train-val-test-to-tfrecords-128x128", "kernel_id": "24370465"}, {"ref": "adnanpen/pytorch-tpu-starter-code", "kernel_id": "24561030"}, {"ref": "ritesh2000/happywhale-eda-fastai-albumentations-starter", "kernel_id": "24354871"}, {"ref": "sentrankim/sota-proxy-anchor-for-image-retrival-2021-train", "kernel_id": "24438500"}, {"ref": "sentrankim/sota2020-curricularface-amp-mixup-cutmix-sam", "kernel_id": "24475055"}, {"ref": "vladvdv/simple-vanilla-pytorch-train-notebook-gem-pooling", "kernel_id": "24644102"}, {"ref": "vladvdv/simple-vanilla-pytorch-inference-gem-pooling", "kernel_id": "24644105"}, {"ref": "tensorchoko/happywhale-eda-jp-en", "kernel_id": "24361407"}, {"ref": "mohitsahal/tf-similarity-happywhale-whale-and-dolphin", "kernel_id": "24433856"}, {"ref": "sytuannguyen/happy-whale-eda", "kernel_id": "24358456"}, {"ref": "priy998/eda-whale-and-dolphin-identification", "kernel_id": "24640122"}, {"ref": "sadivamadaan/fastai-efficientnet-starter", "kernel_id": "24475052"}, {"ref": "dragonzhang/happywhale-effnet-b7-fork-with-detic-crop", "kernel_id": "24829169"}, {"ref": "dragonzhang/pytorch-inference-notebok-arcface-gem-pooling", "kernel_id": "24951554"}, {"ref": "nourajo/whales-dolphins-identification", "kernel_id": "24481327"}, {"ref": "noirchannel/myeda", "kernel_id": "24945369"}, {"ref": "yerramvarun/happywhale-dbscan-efficientnet-baseline", "kernel_id": "24642165"}, {"ref": "akhileshdkapse/extract-image-embedding-siamese-network-tpu", "kernel_id": "24782855"}, {"ref": "akhileshdkapse/dataframe-startnotebook", "kernel_id": "24435825"}, {"ref": "akhileshdkapse/happywhale-classification-using-tpu-inference", "kernel_id": "24460980"}, {"ref": "akhileshdkapse/happywhale-classification-using-tpu-training", "kernel_id": "24455685"}, {"ref": "akhileshdkapse/learn-image-embedding-siamese-network-tpu", "kernel_id": "24515375"}, {"ref": "bextuychiev/full-tutorial-on-image-processing-in-skimage", "kernel_id": "24757175"}, {"ref": "remekkinas/whales-feature-matching-loftr-kornia", "kernel_id": "24947284"}, {"ref": "debarshichanda/pytorch-arcface-gem-pooling-starter", "kernel_id": "24349128"}, {"ref": "debarshichanda/pytorch-happywhale-siamese-starter", "kernel_id": "24344115"}, {"ref": "debarshichanda/faiss-pytorch-inference", "kernel_id": "24850409"}, {"ref": "manatoyaguchi/simple-eda-japanese-version", "kernel_id": "24427310"}, {"ref": "sourabhy/happywhale-eda-arcface-simplified", "kernel_id": "24508881"}, {"ref": "umbertofasci/happy-whales-and-dolphins-starter", "kernel_id": "24372544"}, {"ref": "jirkaborovec/whale-dolphin-eda-classify-lit-flash", "kernel_id": "24688930"}, {"ref": "hotsonhonet/happywhale-insights", "kernel_id": "24635191"}, {"ref": "bhavinmoriya/happy-whales-and-dolphins", "kernel_id": "24362049"}, {"ref": "vishalgrover5/happywhale-eda", "kernel_id": "24616160"}, {"ref": "kirtichauhan11/basic-beginner-friendly-eda", "kernel_id": "24537114"}, {"ref": "shubhamsindal0098/happy-whale-data-understanding", "kernel_id": "24697694"}, {"ref": "kohjiahng/whaleordolphin", "kernel_id": "24424430"}, {"ref": "kohjiahng/whaleeda-aug", "kernel_id": "24383244"}, {"ref": "dqhdqmcttdqx/hw-data-finetune-splits", "kernel_id": "24893115"}, {"ref": "venkatkumar001/vs-starter-simple-flash-efficientb0", "kernel_id": "24986128"}, {"ref": "divyanshtyagi/happy-whales-identify-the-mammal-species", "kernel_id": "24611803"}, {"ref": "nmayank10/is-it-whale-or-dolphin", "kernel_id": "24427057"}, {"ref": "virajkadam/whales-are-awesome-eda", "kernel_id": "24426166"}, {"ref": "abhranta/starter-eda-aug", "kernel_id": "24379794"}, {"ref": "dearsijie/preprocessing", "kernel_id": "24490675"}, {"ref": "dearsijie/eda-starter", "kernel_id": "24464815"}, {"ref": "jannikkalkmann/happywhale-eda-bboxes", "kernel_id": "24497150"}, {"ref": "ammarnassanalhajali/cnn-with-keras-stater", "kernel_id": "24453816"}, {"ref": "artemmalygin/pytorch-happy-whale", "kernel_id": "24808013"}, {"ref": "danielwe14/image-analysis-happwhale", "kernel_id": "24786430"}, {"ref": "engineeringfellow/cross-validation-creating-folds", "kernel_id": "24973532"}, {"ref": "engineeringfellow/happywhale-basemodel-resnet", "kernel_id": "24967892"}, {"ref": "qi0239/happywhale-tfrecords-fdd516", "kernel_id": "24918167"}, {"ref": "qi0239/happywhale-tfrecords-with-bounding-boxes", "kernel_id": "24916618"}, {"ref": "qi0239/prepare-data-6329", "kernel_id": "24842077"}, {"ref": "sergiosaharovskiy/complete-eda-or-data-science-which-makes-sense", "kernel_id": "24934009"}, {"ref": "csarolivares/happywhale-eda", "kernel_id": "24345184"}, {"ref": "akshayr009/notebooka51b24fb5b", "kernel_id": "24583732"}, {"ref": "somesh88/coloring-single-channel-images-deoldify", "kernel_id": "24652521"}, {"ref": "somesh88/happywhale-pytorch-lightning-yolo-arcface", "kernel_id": "24599649"}, {"ref": "somesh88/whale-inference", "kernel_id": "24485814"}, {"ref": "librauee/arcfaceeffb6inferbaseline", "kernel_id": "24617574"}, {"ref": "librauee/train-arcfaceeffb6", "kernel_id": "24632146"}, {"ref": "yama09/happy-whales-and-dolphins", "kernel_id": "24730481"}, {"ref": "yama09/happywhale-2022-starter", "kernel_id": "24719070"}, {"ref": "meetnagadia/happywhale-2022-using-cnn", "kernel_id": "24594583"}, {"ref": "jasonczh/pretrained-model-with-keras", "kernel_id": "24555373"}, {"ref": "harishgehlot/whale-dolphin-classification", "kernel_id": "24438960"}, {"ref": "kiernanmcguigan/efficient-net-for-species-classification", "kernel_id": "24547595"}, {"ref": "kiernanmcguigan/efficientnet-for-individual-determination", "kernel_id": "24654480"}, {"ref": "muhammadusamaaleem/happywhale-0-679", "kernel_id": "24935881"}, {"ref": "mujrush/species-classification-image-size-lgbm", "kernel_id": "24634091"}, {"ref": "dj67rockers/blue-whale-dj-rockers", "kernel_id": "24941673"}, {"ref": "mattison/transfer-learning-identifying-species", "kernel_id": "24508463"}, {"ref": "jillanisofttech/happywhale-whale-and-dolphin-identification", "kernel_id": "24379888"}, {"ref": "jillanisofttech/whale-and-dolphin-identification", "kernel_id": "24650387"}, {"ref": "rhythmcam/make-training-n-folds-csv", "kernel_id": "24553028"}, {"ref": "rhythmcam/happy-w-d-get-target-count", "kernel_id": "24635784"}, {"ref": "rhythmcam/happy-w-d-make-train-image-dataframe", "kernel_id": "24636901"}, {"ref": "yazanmajzob/can-you-tell-the-difference-by-eye", "kernel_id": "24487093"}, {"ref": "timchang1997/happywhale", "kernel_id": "24634358"}, {"ref": "corneliuskristianto/happy-whalphins", "kernel_id": "24449302"}, {"ref": "deopoler/pytorch-lightning-arcface-gem-train", "kernel_id": "24946788"}, {"ref": "deopoler/pytorch-arcface-gempooling-tpu-train", "kernel_id": "24923460"}, {"ref": "qwertai/notebookfcc0483f51", "kernel_id": "24349461"}, {"ref": "nikhiljothiprakash/splitting-data-set", "kernel_id": "24693554"}, {"ref": "nikhiljothiprakash/happy-whale-tfrecords", "kernel_id": "24693668"}, {"ref": "nikhiljothiprakash/happy-whale-and-dolphin", "kernel_id": "24368530"}, {"ref": "dername/the-boring-model", "kernel_id": "24524302"}, {"ref": "lunapandachan/happywhale-eda", "kernel_id": "24619837"}, {"ref": "kalelpark/happy-whale-dolphin-eda-with-pytorch-a-z", "kernel_id": "24700749"}, {"ref": "acchiko/plotly-matplotlib-whale-dolphin", "kernel_id": "24932887"}, {"ref": "acchiko/preview-of-whale-dolphin-dataset-with-plotly-matpl", "kernel_id": "24707023"}, {"ref": "acchiko/utility-functions-for-visualization-of-dataset", "kernel_id": "24470199"}, {"ref": "stgkrtua/vit-with-detic-crop", "kernel_id": "24966402"}, {"ref": "shashwatsachan/happywhale-starter-and-more", "kernel_id": "24389877"}, {"ref": "mdjafrilalamshihab/happywhale-best-notebook-for-absolute-beginer", "kernel_id": "24822263"}, {"ref": "pauljef/eda-types-of-whales-and-dolphin", "kernel_id": "24350063"}, {"ref": "yinqishuo/whales-dolphins-effnet-train-rapids-clusters", "kernel_id": "24924628"}, {"ref": "zwartfreak/whales-dolphins-in-neural-network", "kernel_id": "24355718"}, {"ref": "sahamed/eda-visualization-augmentation", "kernel_id": "24784654"}, {"ref": "beendoong/what-to-localize", "kernel_id": "24943911"}, {"ref": "zzk1box/all-new-individual", "kernel_id": "24387527"}, {"ref": "junyaonodera/220403", "kernel_id": "24894361"}, {"ref": "yusukesueyoshi/happywhale-train-detect-crop-yolov5", "kernel_id": "24913626"}, {"ref": "yusukesueyoshi/happy-whale-yolov5-detect", "kernel_id": "24722614"}, {"ref": "yusukesueyoshi/happywhale-keras", "kernel_id": "24775031"}, {"ref": "syzygyfy/happy-whale-to-hdf5-224x224", "kernel_id": "24966875"}, {"ref": "mw0615/ensemble-model-pycaret", "kernel_id": "24957050"}, {"ref": "lextoumbourou/happywhale-tokencut-generate-bounding-boxes", "kernel_id": "25178460"}, {"ref": "chasset/species-table-happywhale", "kernel_id": "25204461"}, {"ref": "chasset/list-of-species-happywhale", "kernel_id": "25204599"}, {"ref": "chasset/a-bit-of-taxonomy-happywhale", "kernel_id": "25205217"}, {"ref": "chasset/life-tree-happywhale", "kernel_id": "25225122"}, {"ref": "chasset/load-pictures-happywhale", "kernel_id": "25236380"}, {"ref": "chasset/first-dive-in-data-happywhale", "kernel_id": "25133673"}, {"ref": "chasset/sampling-happywhale", "kernel_id": "25426135"}, {"ref": "rajankumar/resize-images-128x128-using-cv2-and-tensorflow", "kernel_id": "25267967"}, {"ref": "nulldata/low-light-image-enhancement-with-keras-mirnet", "kernel_id": "25070214"}, {"ref": "cv13j0/happywhale-keras-cnn", "kernel_id": "25816007"}, {"ref": "art3mis/220303-happy-whales-tensorflow-image-segmentation", "kernel_id": "25103549"}, {"ref": "bryanb/resize-images-using-multiprocessing", "kernel_id": "25544625"}, {"ref": "blankaf/happywhale-fb-b7-train-weights-tpu", "kernel_id": "25826777"}, {"ref": "blankaf/happywhale-fins-ensemble-v13", "kernel_id": "25837214"}, {"ref": "blankaf/happywhale-fb-b7-embeds-from-weights-gpu", "kernel_id": "25868731"}, {"ref": "harshalgajjar/preproc1", "kernel_id": "25962727"}, {"ref": "yamsam/simple-ensemble-of-public-best-kernels", "kernel_id": "25391170"}, {"ref": "aniketmaurya/happywhale-pytorch-training-from-scratch-lite", "kernel_id": "25951707"}, {"ref": "arunamenon/happywhale-eda-modelling", "kernel_id": "25505820"}, {"ref": "wolfy73/greyscale-images", "kernel_id": "25041679"}, {"ref": "wolfy73/colorize-grey-images-with-u-net", "kernel_id": "25039568"}, {"ref": "wolfy73/train-yolov5-w-crowd-sourced-dataset", "kernel_id": "25135327"}, {"ref": "wolfy73/visualize-samples", "kernel_id": "25123297"}, {"ref": "samir95/species-classification", "kernel_id": "25091471"}, {"ref": "alexlwh/active-learning-ssd", "kernel_id": "25138628"}, {"ref": "stpeteishii/whale-dolphin-image-foreground-extraction", "kernel_id": "25158491"}, {"ref": "marvindesmond/demystifying-happywhale-with-tensorflow", "kernel_id": "25112236"}, {"ref": "dimka11/happywhale-arcface", "kernel_id": "25508873"}, {"ref": "phanttan/arcface-efficientnetv2-training", "kernel_id": "25916855"}, {"ref": "phanttan/happywhale-create-tfrecords", "kernel_id": "25825916"}, {"ref": "phanttan/happywhale-ensemble", "kernel_id": "25894275"}, {"ref": "phanttan/arcface-efficientnet-training", "kernel_id": "25888061"}, {"ref": "pksx01/fast-happywhale-baseline-wip", "kernel_id": "25462641"}, {"ref": "pratik1120/happywhale-data-processing", "kernel_id": "25879645"}, {"ref": "dentistdad/happywhale-arcface-baseline-eff7-tpu-768-inference", "kernel_id": "25420872"}, {"ref": "dentistdad/potentialduplicates", "kernel_id": "25840923"}, {"ref": "niketanmoon/exploratory-data-analysis", "kernel_id": "25596308"}, {"ref": "kayvanshah/eda-whale-dolphin-identification", "kernel_id": "25157275"}, {"ref": "riadalmadani/fastai-baseline-model", "kernel_id": "25611397"}, {"ref": "meenakshiramaswamy/tf-keras-mobilevit", "kernel_id": "25420783"}, {"ref": "adnanpen/background-removal-using-tracer-sota-sod", "kernel_id": "25158642"}, {"ref": "tensorchoko/train-arcface-efficientnetv2-b3", "kernel_id": "25313575"}, {"ref": "tensorchoko/whale-jpeg-size", "kernel_id": "25578500"}, {"ref": "samyukthamobile/easy-neural-networks", "kernel_id": "25260810"}, {"ref": "robertturro/happywhale-1st-notebook", "kernel_id": "25482755"}, {"ref": "markwijkhuizen/happy-whale-2022-efficientnetv2-xl-dolg-inference", "kernel_id": "25543558"}, {"ref": "markwijkhuizen/happy-whale-efficientnetv2-xl-dolg-training-tpu", "kernel_id": "25543559"}, {"ref": "dragonzhang/happywhale-effnet-b7-fork-with-nobg-whales", "kernel_id": "25034349"}, {"ref": "dragonzhang/pytorch-lightning-arcface-train-infer", "kernel_id": "25597026"}, {"ref": "sadcard/pytorch-lightning-arcface-focal-loss", "kernel_id": "25815742"}, {"ref": "ripon107/happywhale", "kernel_id": "25264761"}, {"ref": "remekkinas/remove-background-salient-object-detection", "kernel_id": "25158046"}, {"ref": "jirkaborovec/whale-dolphin-species-based-predictions", "kernel_id": "25114365"}, {"ref": "jirkaborovec/whale-dolphin-embedding-lit-flash-simclr", "kernel_id": "25103302"}, {"ref": "jirkaborovec/whale-dolphin-stats-predictions", "kernel_id": "25096093"}, {"ref": "jirkaborovec/whale-dolphin-embedding-lit-flash-inference", "kernel_id": "25209062"}, {"ref": "codebond/noobie-s-notebook-happywhale-whale-and-dolphin", "kernel_id": "25336894"}, {"ref": "qiyuange/happy-whale-v7", "kernel_id": "25583450"}, {"ref": "elindbergs/happywhale-resize-images", "kernel_id": "25823362"}, {"ref": "elindbergs/happywhale-create-tfrecords-for-classification", "kernel_id": "25869429"}, {"ref": "runjiali/happywhale-tfrecords-bb-1-4validation", "kernel_id": "25517937"}, {"ref": "obatek/whales-baseline", "kernel_id": "25278221"}, {"ref": "swaralipibose/image-feature-extraction", "kernel_id": "25629001"}, {"ref": "rachidrahal/whale-and-dolphin-vgg16-preprocessing", "kernel_id": "25232881"}, {"ref": "ageage/happywhale-effnet-b7-fork-with-detic-crop-group", "kernel_id": "25159703"}, {"ref": "ageage/tf-public-fullbody-b6-768-bn", "kernel_id": "25208971"}, {"ref": "sandeep1296/visual-transformer", "kernel_id": "25085206"}, {"ref": "yazanmajzob/large-margin-cosine-loss", "kernel_id": "25142146"}, {"ref": "timchang1997/happywhale-baseline", "kernel_id": "25135959"}, {"ref": "engdan/happywhale-images-resizing", "kernel_id": "25415621"}, {"ref": "engdan/happywhale-dataframes", "kernel_id": "25436898"}, {"ref": "engdan/happywhale-exploratory", "kernel_id": "25143389"}, {"ref": "koalaswelcome/happywhale2-transfer-incep", "kernel_id": "25776927"}, {"ref": "omkar3602/whale-and-dolphin-identification", "kernel_id": "25595896"}, {"ref": "jimmysmith1009/pytorch-lightning-arcface-train-infer", "kernel_id": "25599824"}, {"ref": "jimmysmith1009/pytorch-effnet-infer-384-384img-size", "kernel_id": "25058828"}, {"ref": "poverlu/simple-ensemble-of-public-best-kernels-v3", "kernel_id": "25697585"}, {"ref": "jay2333/cifar10-extension-tutorial", "kernel_id": "25420018"}, {"ref": "clemchris/pytorch-flash-backfin-arcface", "kernel_id": "25556873"}, {"ref": "clemchris/pytorch-backfin-convnext-arcface", "kernel_id": "25155590"}, {"ref": "clemchris/convert-backfintfrecords", "kernel_id": "25424198"}, {"ref": "starlitlolith/whales-and-dolphin", "kernel_id": "25775862"}, {"ref": "subatomic/project-pitch-notebook", "kernel_id": "25162838"}, {"ref": "tanjieyun/happywhale-pytorch-vgg16", "kernel_id": "25857911"}, {"ref": "enzogg/whales-and-dolphins-ai-club", "kernel_id": "25218709"}, {"ref": "acchiko/whale-dolphin-background-removed-images-1-4", "kernel_id": "25945151"}, {"ref": "acchiko/whale-dolphin-background-removed-images-2-4", "kernel_id": "25945253"}, {"ref": "acchiko/whale-dolphin-background-removed-images-3-4", "kernel_id": "25945284"}, {"ref": "acchiko/whale-dolphin-background-removed-images-4-4", "kernel_id": "25945297"}, {"ref": "acchiko/annotation-data-for-detecting-whale-dolphin", "kernel_id": "25945329"}, {"ref": "acchiko/whale-dolphin-cropped-images-1-3", "kernel_id": "25959420"}, {"ref": "acchiko/whale-dolphin-cropped-images-2-3", "kernel_id": "25959486"}, {"ref": "acchiko/whale-dolphin-cropped-images-3-3", "kernel_id": "25959552"}, {"ref": "acchiko/how-to-use-create-utility-scripts", "kernel_id": "25656031"}, {"ref": "kunalpamu/whale-species-classifier", "kernel_id": "25794903"}, {"ref": "roberthoffmanstudent/happywhale", "kernel_id": "25240322"}, {"ref": "karkisa/lighting-on-whales-n1", "kernel_id": "25226406"}, {"ref": "zeta1996/pytorch-lightning-arcface-focal-loss", "kernel_id": "25624284"}, {"ref": "djacon/simple-ensemble-of-public-best-kernels-v-2-2-0", "kernel_id": "25952717"}, {"ref": "jinpass/try-train-yolox-crowd-sourced-dataset", "kernel_id": "25422130"}, {"ref": "danielbpapp/happy-whale-eda", "kernel_id": "25606116"}, {"ref": "myncoder0908/notebook4d33cf4e2e", "kernel_id": "25768350"}, {"ref": "saoul22/notebookdec52c9e43", "kernel_id": "25871339"}, {"ref": "rajnishkumar546/dolphin-whale", "kernel_id": "25511697"}, {"ref": "leoooo333/background-remove-tutorial", "kernel_id": "25972897"}, {"ref": "nghiahoangtrung/0-720-eff-b5-640-rotate", "kernel_id": "25343118"}, {"ref": "ahmedgeka/dolphin-vs-whale-lets-guess", "kernel_id": "25759723"}, {"ref": "ksork6s4/happywhale-data-visualization", "kernel_id": "25012419"}, {"ref": "semiproshark/project-cap5610", "kernel_id": "25656481"}, {"ref": "sabinanurdolotova/power-of-three", "kernel_id": "25828061"}, {"ref": "williamlin8/happywhale", "kernel_id": "25391945"}, {"ref": "npc0302/v00001", "kernel_id": "25338992"}, {"ref": "npc0302/create-tfrec", "kernel_id": "25629287"}, {"ref": "poissonyzr/build-happy-whales-image-retrieval-from-scratch", "kernel_id": "25712541"}, {"ref": "lextoumbourou/happywhale-generate-tfrecords-with-pseudo", "kernel_id": "26164242"}, {"ref": "lextoumbourou/happywhale-tpu-baseline-to-0-804-elasticface", "kernel_id": "26324471"}, {"ref": "sinchanbhattacharya/fixing-the-labels-to-improve-test-results", "kernel_id": "26158723"}, {"ref": "liuzhangzhen/happywhale-bodydataset-training", "kernel_id": "26301241"}, {"ref": "deepkim/strange-data", "kernel_id": "26146026"}, {"ref": "abhineethmishra/happywhale-competition", "kernel_id": "26598524"}, {"ref": "gtownfoster/effv2-l-backfin-embeddings-ensemble", "kernel_id": "26031428"}, {"ref": "darshil1/group-19-eda", "kernel_id": "26681748"}, {"ref": "tanushka816/eff-b5-640-rotate-p2", "kernel_id": "26073449"}, {"ref": "phanttan/arcface-efficientnetv2-inference", "kernel_id": "26046410"}, {"ref": "phanttan/arcface-swintransformer-training", "kernel_id": "26203738"}, {"ref": "aniskhan25/happywhale-whale-and-dolphin-identification", "kernel_id": "26155423"}, {"ref": "yangyuanyuan/inference", "kernel_id": "26025849"}, {"ref": "lukaszborecki/whale-blender-v2-0", "kernel_id": "26013471"}, {"ref": "anshulsavla/notebookc3329b8f42", "kernel_id": "26096547"}, {"ref": "fajilatunnahar/happywhale", "kernel_id": "26179983"}, {"ref": "jirkaborovec/pytorch-backfin-convnext-arcface", "kernel_id": "26095694"}, {"ref": "jirkaborovec/lightning-flash-backfin-effnet-arcface", "kernel_id": "26072252"}, {"ref": "kvaibhav1997/resnet-50-model", "kernel_id": "26114502"}, {"ref": "librauee/train-newpse-backfins-b7-512-curri-fold1", "kernel_id": "26258708"}, {"ref": "librauee/train-newpse-backfins-b7-512-arc-fold1", "kernel_id": "26250970"}, {"ref": "soumyajitdatta/happywhale-tensorflow", "kernel_id": "26127507"}, {"ref": "masterray/ensemble-of-public-and-beluga-fullbody-pro-0-789", "kernel_id": "26301911"}, {"ref": "kaichixie/eda-happy-whale-and-dolphin", "kernel_id": "26107622"}, {"ref": "acchiko/whale-dolphin-repeatedly-cropped-images-2-4", "kernel_id": "26145308"}, {"ref": "acchiko/whale-dolphin-repeatedly-cropped-images-4-4", "kernel_id": "26148177"}, {"ref": "acchiko/whale-dolphin-repeatedly-cropped-images-1-4", "kernel_id": "26148348"}, {"ref": "parmardev/dl-term", "kernel_id": "26388734"}, {"ref": "memariyachirag/dl-assignment-group-107-110-111-126", "kernel_id": "26523891"}, {"ref": "jaykumar2806/dl-assigment", "kernel_id": "26361559"}, {"ref": "nghiahoangtrung/swin-tranform-submission", "kernel_id": "26075121"}, {"ref": "shangyuxie/swin-tranform-submission", "kernel_id": "26150534"}, {"ref": "shangyuxie/simple-ensemble-of-public-best-kernels-v-2-2-0", "kernel_id": "26150551"}, {"ref": "mitulnakrani/dl-final-assignment-version-1", "kernel_id": "26450756"}, {"ref": "jaykumar2862/happy-whale-competition", "kernel_id": "26506724"}, {"ref": "karlabaublys/group-8-iannwtf", "kernel_id": "26008830"}, {"ref": "sabinanurdolotova/power-of3-ver2", "kernel_id": "26930253"}, {"ref": "daryanadezhdina/notebookdbe28088b7", "kernel_id": "26362542"}, {"ref": "nealart/fastai-baseline-model", "kernel_id": "26007482"}, {"ref": "nealart/simple-ensemble-of-public-best-kernels-v-2-2-0", "kernel_id": "26007641"}, {"ref": "seabutterfly95/ensemble-of-public-and-beluga-fullbody", "kernel_id": "26160151"}, {"ref": "wangshilong333/submission-final", "kernel_id": "26022810"}, {"ref": "cbeaud/happywhale-ensemble-of-public-best-kernels", "kernel_id": "26158164"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "donanana/cnncnncnn", "kernel_id": "27654261"}, {"ref": "popyonfire/my-project-notebook", "kernel_id": "27065230"}, {"ref": "dooooona/whale-model1-image-augmentation", "kernel_id": "27679372"}, {"ref": "akshatpathak/whale-dolphin-data-augmentation", "kernel_id": "28375942"}, {"ref": "kerolosemad/whalesanddolphines", "kernel_id": "30669192"}, {"ref": "sirisap/whales-dolphins-vision-transformer", "kernel_id": "30895451"}, {"ref": "bowinlavenderfield/happy-whale-dolphin-type-classification", "kernel_id": "30770423"}, {"ref": "mrckkk/happy-whale-and-dolphin-basic", "kernel_id": "30931918"}, {"ref": "mobinapoulaei/happywhales", "kernel_id": "32155861"}, {"ref": "sukanyachopra/notebookaea2dbec10", "kernel_id": "33435259"}, {"ref": "rodbarrera87/happywhale", "kernel_id": "33472184"}, {"ref": "johnybhiduri/dolphin-whales-image-classification-using-keras", "kernel_id": "33277673"}, {"ref": "takanao/dolphin-whales-classification-keras-inceptionv3", "kernel_id": "34963272"}, {"ref": "mervedin/happywhale", "kernel_id": "34594082"}, {"ref": "dilaaslan/happywhale-whale-and-dolphin-identification-ipynb", "kernel_id": "34593990"}, {"ref": "nagoreisidro/tfm-ucm-master-data-science-big-data", "kernel_id": "34051125"}, {"ref": "oftenignored/mirnet-enhanced-image-for-cataract-detection-odir", "kernel_id": "34493262"}, {"ref": "salvarezgonz/herbarium-2022-using-vgg16-and-automl", "kernel_id": "35844198"}, {"ref": "shriyutha/whale-dolphine-cnn", "kernel_id": "35550378"}, {"ref": "ruohongyang/happy-whale-dolphin-eda-with-pytorch-a-z", "kernel_id": "35761316"}, {"ref": "stpeteishii/whale-dolphin-dorsal-fin-image-binarization", "kernel_id": "36272600"}, {"ref": "danpresil1/segment-anything-model-sam-prompt-examples", "kernel_id": "36956930"}, {"ref": "kokitashiro/happywhale-with-simplest-pytorch-model", "kernel_id": "36905359"}, {"ref": "hidetaketakahashi/preprocess-by-objectdetection-whales", "kernel_id": "37982802"}, {"ref": "imjordrew/happywhale-implementation", "kernel_id": "37810013"}, {"ref": "lorenzoclementiuni/deeplearning-project-clementimuiaroccellatirrenica", "kernel_id": "37921046"}, {"ref": "mayojinz/ml-project", "kernel_id": "37262784"}, {"ref": "stpeteishii/whale-tail-opencv-background-removal", "kernel_id": "38457670"}, {"ref": "stpeteishii/whale-tail-manual-background-removal", "kernel_id": "38422870"}, {"ref": "simonagale/szymon-wale", "kernel_id": "38513572"}, {"ref": "hidetaketakahashi/wgan-whales", "kernel_id": "39789842"}, {"ref": "hidetaketakahashi/gan-whales", "kernel_id": "39493562"}, {"ref": "rubyabdullah/happywhale-arcface-baseline-tpu", "kernel_id": "39515962"}, {"ref": "stpeteishii/happy-whale-yolov8-train-and-predict", "kernel_id": "40185353"}, {"ref": "acchiko/utility-functions-to-process-tabular-dataset", "kernel_id": "40261648"}, {"ref": "adityaraj01/segment-anything-model-sam", "kernel_id": "41430536"}, {"ref": "dinamamdouh/segment-anything-model-sam-prompt-examples", "kernel_id": "41107030"}, {"ref": "jyotidabas/segment-anything-model-sam-prompt-examples", "kernel_id": "42897330"}, {"ref": "ekaansh/low-light-image-enhancement-with-keras-mirnet", "kernel_id": "43190341"}, {"ref": "stpeteishii/clip-dorsal-fins-from-image", "kernel_id": "43669515"}, {"ref": "bhuynguyn/pytorch-happywhale-siamese-starter", "kernel_id": "46354815"}, {"ref": "athrunzala/question-notebook", "kernel_id": "46561232"}, {"ref": "yasminooabdelfattah/digital-project", "kernel_id": "48692110"}, {"ref": "farahelshaer11/digital-project", "kernel_id": "48687485"}, {"ref": "raghadhatem/digital-project", "kernel_id": "48657527"}, {"ref": "greatgreysheep/how-to-label-encoder", "kernel_id": "48587527"}, {"ref": "prudhvi143413s/dolphin-whales-image-classification-using-keras", "kernel_id": "50107888"}, {"ref": "takumimukaiyama/how-to-use-create-utility-scripts", "kernel_id": "51112179"}, {"ref": "zhuyujie4567/segmentfor", "kernel_id": "53458008"}, {"ref": "zhuzhu1101/segmentfor", "kernel_id": "53458680"}, {"ref": "blankaburchard/notebook0c676a96ca", "kernel_id": "60321391"}, {"ref": "csarhernndezcamacho/cnn-with-tensorflow-and-keras", "kernel_id": "61676956"}, {"ref": "sanepunk05/vae-snmap", "kernel_id": "65768919"}, {"ref": "tarassssov/whales-users", "kernel_id": "66930554"}, {"ref": "kandregulaabhinav/sam-cc-detn", "kernel_id": "73207326"}, {"ref": "kagdeptry/segment-anything-model-sam-prompt-examples", "kernel_id": "73924695"}, {"ref": "venkaiahswamy1/mymodel", "kernel_id": "77125698"}, {"ref": "tungpham060603/segment-anything-model-sam-prompt-examples", "kernel_id": "79354513"}, {"ref": "annavallos/notebook878de8999b", "kernel_id": "79395848"}, {"ref": "achilleaskostoulas/notebookfd68122e80", "kernel_id": "80465043"}, {"ref": "stpeteishii/happy-whale-identification-xgbranker", "kernel_id": "88569082"}, {"ref": "stpeteishii/happy-whale-identification-randomforest-w-hog", "kernel_id": "88516739"}, {"ref": "stpeteishii/whale-identification-pipeline-debug-validation", "kernel_id": "89157229"}, {"ref": "stpeteishii/whale-identification-using-cnn-feature-extraction", "kernel_id": "89148188"}, {"ref": "stpeteishii/whale-identification-with-cnn-training", "kernel_id": "89279427"}, {"ref": "stpeteishii/whale-identification-with-cnn-inference", "kernel_id": "89280390"}, {"ref": "hanhsiang/backfin-detection-with-yolov11", "kernel_id": "120114432"}]}
{"competition_id": "22983", "kernels": []}
{"competition_id": "22985", "kernels": [{"ref": "tojoh15/assignment-description", "kernel_id": "12061556"}]}
{"competition_id": "22987", "kernels": []}
{"competition_id": "22990", "kernels": [{"ref": "subbuvolvosekar/eda-viz-hubmap", "kernel_id": "12923847"}, {"ref": "bguberfain/thumbnails-let-s-see-the-data", "kernel_id": "12933939"}, {"ref": "bguberfain/memory-aware-rle-encoding", "kernel_id": "12975764"}, {"ref": "praveengovi/lets-hack-kidney-together-eda-modeling-acc97", "kernel_id": "12939274"}, {"ref": "zero00/selecting-training-area", "kernel_id": "12964628"}, {"ref": "stratussox/show-tiff-files-and-masks", "kernel_id": "12939541"}, {"ref": "tiandaye/unet-baseline-train", "kernel_id": "12947186"}, {"ref": "purplejester/reading-tiff-images-with-python", "kernel_id": "12963361"}, {"ref": "gpreda/read-json-data", "kernel_id": "12944219"}, {"ref": "pestipeti/decoding-rle-masks", "kernel_id": "12923322"}, {"ref": "tahsin/hubmap-baseline-unet-with-resnest-encoder", "kernel_id": "12942418"}, {"ref": "orkatz2/hubmap-res34unet-baseline-train", "kernel_id": "12930165"}, {"ref": "bowaka/hubmap-eda-starter-notebook-with-rasterio", "kernel_id": "12933228"}, {"ref": "bowaka/hubmap-exploration-the-big-picture", "kernel_id": "12958384"}, {"ref": "iafoss/hubmap-pytorch-fast-ai-starter-sub", "kernel_id": "12980793"}, {"ref": "iafoss/hubmap-pytorch-fast-ai-starter", "kernel_id": "12968298"}, {"ref": "iafoss/256x256-images", "kernel_id": "12924933"}, {"ref": "ihelon/hubmap-exploratory-data-analysis", "kernel_id": "12923126"}, {"ref": "binovi/hubmap-hacking-the-kidney-visualization", "kernel_id": "12924477"}, {"ref": "leighplt/pytorch-fcn-resnet50", "kernel_id": "12951706"}, {"ref": "hirune924/fast-image-region-loading-using-pyvips", "kernel_id": "12977242"}, {"ref": "kool777/training-hubmap-eda-tf-keras-tpu", "kernel_id": "12928766"}, {"ref": "xhlulu/hubmap-break-down-images-into-512x512-tiles", "kernel_id": "12927280"}, {"ref": "noelmat/eda-understanding-the-data", "kernel_id": "12965510"}, {"ref": "fireheart7/hubmap-eda", "kernel_id": "12926915"}, {"ref": "hiramcho/hubmap-keras-augmentation-layers", "kernel_id": "12978723"}, {"ref": "steve03/hacking-the-kidney-anatomical-structures", "kernel_id": "12940100"}, {"ref": "joshi98kishan/hubmap-keras-pipeline-training-inference", "kernel_id": "12954560"}, {"ref": "domizianostingi/easy-plot-of-kidney-and-mask", "kernel_id": "12972901"}, {"ref": "vineeth1999/hubmap-eda-pytorch-efficientunet-offline-training", "kernel_id": "12928502"}, {"ref": "kevinscaria/hubmap-eda", "kernel_id": "12927309"}, {"ref": "piantic/tutorial-augmentation-with-mask-visualizati-n", "kernel_id": "12937983"}, {"ref": "nayuts/hubmap-let-s-visualize-and-understand-dataset", "kernel_id": "12923051"}, {"ref": "arunmohan003/512x512-image-generation", "kernel_id": "12940082"}, {"ref": "nxrprime/hubmap-an-analysis-and-methodology", "kernel_id": "12927437"}, {"ref": "yuriikochurovskyi/hubmap-image-eda-step-by-step-beginner-friendly", "kernel_id": "12932208"}, {"ref": "tanguyperennec/hubmap-how-to-read-images", "kernel_id": "12940967"}, {"ref": "alincijov/kidney-segmentation-starter-notebook", "kernel_id": "12976413"}, {"ref": "raphaelbourgade/all-the-medical-data-you-need-to-know", "kernel_id": "12941808"}, {"ref": "gauravmehta13/hubmap-hacking-the-kidney-eda", "kernel_id": "12923694"}, {"ref": "polomarco/run-length-encoding-for-full-size-images", "kernel_id": "12997173"}, {"ref": "polomarco/hubmap-eda-efficientnetunet-training-baseline", "kernel_id": "12944659"}, {"ref": "sreevishnudamodaran/build-custom-coco-dataset-512x512-tiled", "kernel_id": "12926906"}, {"ref": "realc9der/train-data-edit-and-run", "kernel_id": "12972380"}, {"ref": "marcosnovaes/hubmap-looking-at-tfrecords", "kernel_id": "12882651"}, {"ref": "marcosnovaes/hubmap-read-data-and-build-tfrecords", "kernel_id": "12924533"}, {"ref": "marcosnovaes/hubmap-3-unet-models-with-keras-cpu-gpu", "kernel_id": "12943927"}, {"ref": "marcosnovaes/hubmap-unet-keras-model-fit-with-tpu", "kernel_id": "12986885"}, {"ref": "marcosnovaes/hubmap-unet-keras-model-fit-with-gpu", "kernel_id": "12987026"}, {"ref": "animatorandgamer/notebookc3b081a874", "kernel_id": "12932164"}, {"ref": "leahscherschel/glomeruli-detection-related-works", "kernel_id": "12731722"}, {"ref": "leahscherschel/polygon-to-pixel-mask-conversion", "kernel_id": "12731684"}, {"ref": "leahscherschel/run-length-encoding", "kernel_id": "12731613"}, {"ref": "leahscherschel/dataset-details", "kernel_id": "12576357"}, {"ref": "igor14497/making-a-successful-submission", "kernel_id": "13268253"}, {"ref": "sumitjha19/densenet121unet-inference", "kernel_id": "13883484"}, {"ref": "sumitjha19/pix2pixgan-generating-kidney-glomeruli", "kernel_id": "13753287"}, {"ref": "keremt/hubmap-fastai-baseline-8-fold-training", "kernel_id": "13437623"}, {"ref": "keremt/hubmap-fast-submission", "kernel_id": "13748235"}, {"ref": "finlay/pytorch-unet-resnet50-in-20-minute", "kernel_id": "13274664"}, {"ref": "finlay/pytorch-fcn-resnet50-in-20-minute", "kernel_id": "13231978"}, {"ref": "finlay/unet-example", "kernel_id": "13555139"}, {"ref": "finlay/csv-write-for-fast-public-score", "kernel_id": "13487857"}, {"ref": "purplejester/showing-samples-with-segmentation-mask-overlay", "kernel_id": "13104981"}, {"ref": "vgarshin/kidney-unet-model-keras-inference", "kernel_id": "13292572"}, {"ref": "hypocrites/hubmap-sm-unet-256x256", "kernel_id": "13014716"}, {"ref": "dxchen/public-submission-only-fastest", "kernel_id": "13260417"}, {"ref": "isakev/hub-tf-tpu-valloss-pretrain-effunet5-lr1e-3-ml0-35", "kernel_id": "13487552"}, {"ref": "tivfrvqhs5/global-mask-shift", "kernel_id": "13888768"}, {"ref": "ayadiamira/hubmap-an-introduction", "kernel_id": "13115832"}, {"ref": "msafi04/hacking-the-kidney-by-segmentation", "kernel_id": "13255591"}, {"ref": "firstofhisname/hubmap", "kernel_id": "13480819"}, {"ref": "mariazorkaltseva/hubmap-seresnext50-unet-dice-loss", "kernel_id": "13191266"}, {"ref": "mariazorkaltseva/hubmap-train-test-patches-generation", "kernel_id": "13002402"}, {"ref": "kazakan/hubmap-messy-notebook", "kernel_id": "13295731"}, {"ref": "ckanth090/hubmap-dataset-generator", "kernel_id": "13813034"}, {"ref": "ckanth090/hubmap-visualize-mask-bbox", "kernel_id": "13747975"}, {"ref": "prvnkmr/better-understanding-of-the-problem-statement", "kernel_id": "13988655"}, {"ref": "yukkyo/using-pyvips-without-internet", "kernel_id": "13180750"}, {"ref": "fanbyprinciple/hubmap-iafoss-combined-fastai", "kernel_id": "13070473"}, {"ref": "zhkuo24/pytorch-fcn-resnet50-in-20-minute", "kernel_id": "13427934"}, {"ref": "rsingh99/parallel-reverse-attention-network-for-polyp-segm", "kernel_id": "13815239"}, {"ref": "yimyukei/train-transform", "kernel_id": "13210261"}, {"ref": "kool777/training-hubmap-tf-keras-with-tfrecord-tpu", "kernel_id": "13556370"}, {"ref": "meowyc/hubmap-check-test-pred", "kernel_id": "13877456"}, {"ref": "ayuraj/hubmap-tf-with-tpu-efficientunetb7-512x512-train", "kernel_id": "13269604"}, {"ref": "davidkici/hubmap-tf-with-tpu-efficientunet-512x512-train", "kernel_id": "13981971"}, {"ref": "itsuki9180/hubmap-gpu-inference-phase", "kernel_id": "13253190"}, {"ref": "itsuki9180/hubmap-tpu-train-phase", "kernel_id": "13216516"}, {"ref": "itsuki9180/make-tfrecords-of-512x512-or-other-tiles", "kernel_id": "13214238"}, {"ref": "xhlulu/efficient-mask2rle", "kernel_id": "13002527"}, {"ref": "sdeagggg/install-smp-without-internet", "kernel_id": "13190166"}, {"ref": "sdeagggg/hubmap-fast-ai-starter-efficientnet", "kernel_id": "13053166"}, {"ref": "friedchips/fully-correct-hubmap-rle-encoding-and-decoding", "kernel_id": "13555573"}, {"ref": "curiosity806/hubmap-two-stage-to-more-accurate-inference", "kernel_id": "13656764"}, {"ref": "curiosity806/hubmap-use-catalyst-smp-and-albumentations", "kernel_id": "13162197"}, {"ref": "curiosity806/hubmap-private-predict-mask-of-512-512-images", "kernel_id": "13339990"}, {"ref": "hebishi/segmentation-models-pytorch-offline", "kernel_id": "13616228"}, {"ref": "joelsjoyt/hubmap-let-s-experiment", "kernel_id": "13423844"}, {"ref": "mistag/train-keras-u-net-mobilenetv2", "kernel_id": "13246965"}, {"ref": "mistag/inference-hubmap-u-net-mobilenetv2-256x256", "kernel_id": "13247547"}, {"ref": "mistag/train-keras-u-net-with-tfrecords-input", "kernel_id": "13063612"}, {"ref": "mistag/data-hubmap-tif-2-jpg-tfrecords-128-256-512-1024", "kernel_id": "13031829"}, {"ref": "mistag/inference-hubmap-u-net-512x512", "kernel_id": "13154843"}, {"ref": "mistag/data-hubmap-image-2-tfrecords-256-512-1024", "kernel_id": "13623021"}, {"ref": "mistag/inference-hubmap-fpn-single-model-segmentation", "kernel_id": "13877484"}, {"ref": "mistag/inference-hubmap-fpn-single-model-ii", "kernel_id": "13976904"}, {"ref": "joshi98kishan/let-s-understand-tta-in-segmentation", "kernel_id": "13422412"}, {"ref": "joshi98kishan/inference-pytorch-tta-sub-0-84", "kernel_id": "13404065"}, {"ref": "joshi98kishan/foldtraining-pytorch-tpu-8-cores", "kernel_id": "13038820"}, {"ref": "shilei2403/baseline-imp1219", "kernel_id": "13630436"}, {"ref": "shilei2403/pytorch-fcn-resnet50-in-20-minute", "kernel_id": "13461299"}, {"ref": "vineeth1999/hubmap-pytorch-efficientunet-offline", "kernel_id": "13008155"}, {"ref": "markalavin/hubmap-tile-images-w-overlap-and-build-tfrecords", "kernel_id": "13687227"}, {"ref": "kiruganko/hubmap-eda", "kernel_id": "13115411"}, {"ref": "zichengliu0226/pranet-hubmap", "kernel_id": "13675899"}, {"ref": "nayuts/hubmap-pytorch-smp-unet", "kernel_id": "13032374"}, {"ref": "nayuts/hubmap-pytorch-smp-unet-inference", "kernel_id": "13187520"}, {"ref": "wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-train", "kernel_id": "13262382"}, {"ref": "wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-subm", "kernel_id": "13399114"}, {"ref": "arunmohan003/hubmap-inference-pytorch", "kernel_id": "13706224"}, {"ref": "arunmohan003/more-256x256-train-data-using-overlaping-windows", "kernel_id": "13998921"}, {"ref": "tachyon777/hubmap-tachyon-dataaugmentation-examples", "kernel_id": "13299200"}, {"ref": "jaddiabdelaziz/visualize-data-train-unet-and-viz-predicted-mask", "kernel_id": "13249230"}, {"ref": "hammadghulammustafa/hubmap-hacking-the-kidney-eda", "kernel_id": "13106743"}, {"ref": "divyanshuyadav/inference-hubmap-fpn-single-model-segmentation", "kernel_id": "13969052"}, {"ref": "rosuluc/error-analysis", "kernel_id": "13428693"}, {"ref": "yerramvarun/understanding-dice-coefficient", "kernel_id": "13772033"}, {"ref": "rikozhushko/hubmap-memory-efficient-submission-using-disk", "kernel_id": "13050274"}, {"ref": "bitcrunch/pretrained-sub-effunet5-0-845", "kernel_id": "13500816"}, {"ref": "homiarafarhana/2nd-sub-effunet5-0-845-4983e4", "kernel_id": "13816184"}, {"ref": "antonio5444/hubmap-pytorch-smp-unet-inference", "kernel_id": "13272168"}, {"ref": "antonio5444/pytorch-with-training", "kernel_id": "13389622"}, {"ref": "shivangigarg160997/hubmap-eda", "kernel_id": "13779276"}, {"ref": "uhmarty/martin-hacking-the-kidney", "kernel_id": "13186607"}, {"ref": "zekunn/hubmap-tf-with-tpu-efficientunet-512x512-subm", "kernel_id": "13827524"}, {"ref": "sreevishnudamodaran/tpu-hubmap-double-u-net-model-augmentation", "kernel_id": "13345586"}, {"ref": "sreevishnudamodaran/resume-tpu-keras-training-for-large-models", "kernel_id": "13483348"}, {"ref": "realc9der/mask2rle", "kernel_id": "13143322"}, {"ref": "marcosnovaes/hubmap-building-datasets-for-tpus", "kernel_id": "13009796"}, {"ref": "marcosnovaes/hubmap-memory-efficient-submission-using-disk", "kernel_id": "13005989"}, {"ref": "mohityadav426/notebook0f0b9984bf", "kernel_id": "13336099"}, {"ref": "jianguolin/notebook", "kernel_id": "13407632"}, {"ref": "haphamtv/pytorch-smp-unet", "kernel_id": "13382642"}, {"ref": "zehuigong/hubmap-submission-withcsv", "kernel_id": "13825643"}, {"ref": "zehuigong/test-pt", "kernel_id": "13790111"}, {"ref": "lincolnge/trained-model-to-submit", "kernel_id": "13786246"}, {"ref": "franoisponchon/fpo-hubmap-unet-inference-singleimage", "kernel_id": "13755071"}, {"ref": "zhouwenqi/pytorch-fcn-resnet50-in-20-minute", "kernel_id": "13937823"}, {"ref": "anadelta/glomeruli-analysis-annotations-visualization", "kernel_id": "13924035"}, {"ref": "gilfernandes/pytorch-unet-efficientnet-b6-1024-2shifted-slices", "kernel_id": "14958894"}, {"ref": "saurabhbagchi/ensemble-model-notebook-wip", "kernel_id": "14222428"}, {"ref": "cosminalexandru/notebook25085ffb89", "kernel_id": "14137599"}, {"ref": "nishathussain/256x256-images", "kernel_id": "14034324"}, {"ref": "kamaljain77/hubmap-kidney-eda", "kernel_id": "14180459"}, {"ref": "mpware/masks-quick-eda-updated-data", "kernel_id": "14493444"}, {"ref": "yeayates21/hubmap-rle-numba-function-explained", "kernel_id": "14042842"}, {"ref": "yeayates21/hubmap-make-grid-function-explained", "kernel_id": "14174310"}, {"ref": "prvnkmr/unet-architecture-breakdown", "kernel_id": "14045357"}, {"ref": "prvnkmr/concise-eda-and-viz-hubmap", "kernel_id": "14025805"}, {"ref": "easara/hubmap-visualize-mask-bbox", "kernel_id": "14015067"}, {"ref": "ghaiyur/hubmap-segmentation", "kernel_id": "14767053"}, {"ref": "evodswdy/resunet-icip-01112137", "kernel_id": "14071384"}, {"ref": "sumitai/hubmap-kidney-segmentation", "kernel_id": "14959433"}, {"ref": "rajansharma780/hubmap-overview", "kernel_id": "14036153"}, {"ref": "atharvahude/256unet", "kernel_id": "14494275"}, {"ref": "markalavin/hubmap-tf-with-tpu-efficientunet-512x512-s-55c7ec", "kernel_id": "14215549"}, {"ref": "markalavin/hubmap-validate-against-training-set", "kernel_id": "14759323"}, {"ref": "markalavin/hubmap-visualize-and-analyze-results", "kernel_id": "14471714"}, {"ref": "markalavin/imread-vs-rasterio", "kernel_id": "14960539"}, {"ref": "markalavin/train-with-overlapping-tiles-from-normalized-image", "kernel_id": "14998643"}, {"ref": "markalavin/tile-images-save-in-tfrecord-files", "kernel_id": "14970975"}, {"ref": "adudp007/loading-tiff-image-to-numpy-array", "kernel_id": "14801054"}, {"ref": "hhyun2/hubmap-pytorch-gpu-training", "kernel_id": "14904862"}, {"ref": "alinaherderich/submisson-alina-resnet34-v2", "kernel_id": "14522401"}, {"ref": "alinaherderich/notebook4ca5c6eb1c", "kernel_id": "14410306"}, {"ref": "alinaherderich/whoop-hub-data-preprocessing", "kernel_id": "14304143"}, {"ref": "alinaherderich/iafoss-512x512", "kernel_id": "14207885"}, {"ref": "wrrosa/hubmap-tf-with-tpu-efficientunet-512x512-tfrecs", "kernel_id": "14085052"}, {"ref": "yash88/hubmap-tf-with-tpu-efficientunet-512x512-subm", "kernel_id": "14726532"}, {"ref": "tachyon777/hubmap-tachyon-classifier-v1", "kernel_id": "14541898"}, {"ref": "woosungjangyai/allpipeline-practice", "kernel_id": "14973996"}, {"ref": "pranshu15/effunet", "kernel_id": "14250850"}, {"ref": "mehmetokuyar/unet-dice-coefficient-hubmap", "kernel_id": "14424301"}, {"ref": "rpsantosakaggle/finally-first-notebook-in-r-u-net", "kernel_id": "14178043"}, {"ref": "rpsantosakaggle/unet-carvana", "kernel_id": "14134236"}, {"ref": "homiarafarhana/mnist-cnn", "kernel_id": "14051814"}, {"ref": "homiarafarhana/global-mask-shift", "kernel_id": "14014261"}, {"ref": "martinjpage/image-segmentation-using-unet-tfrecords", "kernel_id": "14470057"}, {"ref": "japandata509/how-to-analyze-leaderboard-easily", "kernel_id": "14437027"}, {"ref": "priscilliaprevitero/hubmap-performance-analysis", "kernel_id": "14138751"}, {"ref": "philipjamessullivan/p-sullivan-1-overview-visualization", "kernel_id": "14355681"}, {"ref": "philipjamessullivan/p-sullivan-2-train-network", "kernel_id": "14711051"}, {"ref": "muhammadvaliallah/image-segmentation-using-unet-tfrecords", "kernel_id": "14459346"}, {"ref": "romanstatkevych/hubmap-unet", "kernel_id": "14987978"}, {"ref": "marioinnerkofler/tu-graz-hubmap-1-image-exploration", "kernel_id": "14372262"}, {"ref": "koh12345/hubmap-submission", "kernel_id": "14332856"}, {"ref": "graafffff/notebook-b98819303", "kernel_id": "14813405"}, {"ref": "graafffff/fork-of-sub-no-code", "kernel_id": "14704295"}, {"ref": "graafffff/fork-of-unet-baseline-train-5398d9", "kernel_id": "14745461"}, {"ref": "shubhi99/test-submissioon", "kernel_id": "14425715"}, {"ref": "shubhi99/create-test-tfrecords", "kernel_id": "14428256"}, {"ref": "shubhi99/model-train", "kernel_id": "14388459"}, {"ref": "richardzy/faster-way-to-get-result", "kernel_id": "14444745"}, {"ref": "saurabhbagchi/hubmap-pytorch-with-changed-parameters", "kernel_id": "15484717"}, {"ref": "yassinealouini/all-the-segmentation-metrics", "kernel_id": "15179880"}, {"ref": "tiandaye/hubmap-exp007-5folds", "kernel_id": "15907165"}, {"ref": "lhagiimn/kidney-unet-model-inference", "kernel_id": "15804094"}, {"ref": "shams1/kidney-1", "kernel_id": "15939939"}, {"ref": "nikhilpandey360/hubmap-exploratory-data-analysis", "kernel_id": "15995897"}, {"ref": "thedatamonk/kaggle-hubmap-prediction-masks-visualisation", "kernel_id": "15652485"}, {"ref": "sweft1/glomerulu-shape-eda", "kernel_id": "15943180"}, {"ref": "matjes/hubmap-zarr", "kernel_id": "15285495"}, {"ref": "matjes/hubmap-anatomy-zarr", "kernel_id": "15513853"}, {"ref": "matjes/hubmap-labels-pdf-0-5-0-25-0-01", "kernel_id": "15515515"}, {"ref": "matjes/hubmap-efficient-sampling-deepflash2-train", "kernel_id": "15491403"}, {"ref": "matjes/hubmap-efficient-sampling-deepflash2-sub", "kernel_id": "15520201"}, {"ref": "raghaw/download-segmentation-model-pytorch-packages", "kernel_id": "15515755"}, {"ref": "raghaw/offline-install-segmentation-model-pytorch", "kernel_id": "15515828"}, {"ref": "durbin164/hubmap-tf-with-multiple-model-ensumble-sub", "kernel_id": "15700464"}, {"ref": "tikutiku/hubmap-tilespadded-inference-v2", "kernel_id": "15460657"}, {"ref": "roydatascience/hubmap-sub-effunet5-tpu-efficientunet-512x512", "kernel_id": "15163558"}, {"ref": "rishabhdev070/training-single-image-hubmap-unet", "kernel_id": "15231639"}, {"ref": "rishabhdev070/data-preparartion-hubmap", "kernel_id": "15529894"}, {"ref": "changewow/humap-submit-v1", "kernel_id": "15947082"}, {"ref": "arpitjoshi333/hubmap-firstview", "kernel_id": "15155803"}, {"ref": "mahmudds/hubmap-hacking-the-kidney", "kernel_id": "15716314"}, {"ref": "priteshraj10/tf-tpu-tfrecs", "kernel_id": "15253982"}, {"ref": "priteshraj10/tf-tpu-train", "kernel_id": "15259175"}, {"ref": "priteshraj10/pytorchfcn-resnet50", "kernel_id": "15244691"}, {"ref": "elcaiseri/hubmap-pytorch-vit-segmentation-starter-train", "kernel_id": "15781420"}, {"ref": "elcaiseri/hubmap-pytorch-vit-segmentation-sub1", "kernel_id": "15803499"}, {"ref": "mistag/hubmap-quick-reference", "kernel_id": "15436532"}, {"ref": "nihadtp/kidney-hacking-exploration-stage", "kernel_id": "15170115"}, {"ref": "takeajioka/hubmap-fastai-reduce2-1024-resnet101-elu", "kernel_id": "15798074"}, {"ref": "takeajioka/hubmap-pytorch-blend-submission-pl", "kernel_id": "15975253"}, {"ref": "thekalkulator/hacking-the-kidney-displaying-a-polygon", "kernel_id": "15048249"}, {"ref": "markalavin/list-image-shapes", "kernel_id": "15452859"}, {"ref": "shujun717/1024-reduce-4-images", "kernel_id": "15580074"}, {"ref": "taruntiwarihp/hubmap-hacking-the-kidney", "kernel_id": "15510625"}, {"ref": "kwk100/hubmap-exploratory-data-analysis-eda", "kernel_id": "15442864"}, {"ref": "kboroszko/datasequence-prepared-for-frcn", "kernel_id": "15652369"}, {"ref": "nadeem07/hubmap-hacking-the-kidney", "kernel_id": "15363501"}, {"ref": "drzhuzhe/efficientnet-linknet-or-unet", "kernel_id": "15957769"}, {"ref": "drzhuzhe/hubmap-efficientnet-and-linknet-train", "kernel_id": "15954137"}, {"ref": "dragonzhang/hubmap-sub-effunet5-tpu-efficientunet-512x512", "kernel_id": "15573868"}, {"ref": "benoitvignaud/submission-04-04", "kernel_id": "15985953"}, {"ref": "benoitvignaud/04-04", "kernel_id": "15977042"}, {"ref": "rpsantosakaggle/r-notebook-handling-large-tiff-simple-python-in-r", "kernel_id": "15369365"}, {"ref": "rpsantosakaggle/hack-the-kidney-with-ai-segmentation-r-polygon", "kernel_id": "15610998"}, {"ref": "jinssaa/hubmap-512-sam-unet-effb7", "kernel_id": "15757408"}, {"ref": "zekunn/hubmap-new-with-tpu-512x512", "kernel_id": "15633578"}, {"ref": "luciusk/hubmap-general-submit", "kernel_id": "15783087"}, {"ref": "erikdali/biomedical-labeling-with-qupath", "kernel_id": "15839162"}, {"ref": "leahscherschel/updated-dataset-details", "kernel_id": "15385139"}, {"ref": "ambitionkingo/submit-with-csv", "kernel_id": "15428344"}, {"ref": "kiranchaudharyy/hubmap-unet-effnetb4-ns-single-fold-infer", "kernel_id": "15897241"}, {"ref": "hareem23/mask-shift-global", "kernel_id": "15362373"}, {"ref": "cancan077/kc-hubmap", "kernel_id": "15798750"}, {"ref": "akshaya222/hubmap-tf-with-tpu-efficientunet-512x512-subm", "kernel_id": "15314822"}, {"ref": "sa2zoi/summary-hubmap-hacking-the-kidney", "kernel_id": "15350289"}, {"ref": "pppass/hubmap-pytorch-fast-ai-starter-sub-44b575", "kernel_id": "15918190"}, {"ref": "pppass/fork-of-hubmap-pytorch-fast-ai-starter-sub-512sz-f", "kernel_id": "15892009"}, {"ref": "pppass/hubmap-pytorch-fast-ai-starter-sub-512sz-fold012", "kernel_id": "15876771"}, {"ref": "yassinealouini/segmentation-model-using-semtorch", "kernel_id": "16198040"}, {"ref": "optimo/hubmap-inference-th-o", "kernel_id": "16878795"}, {"ref": "mihalych/hubmap-tfrec-generation-with-border-2", "kernel_id": "16058331"}, {"ref": "sakvaua/testtifffilesubmit", "kernel_id": "16928194"}, {"ref": "something4kag/hubmap-and-portal-mapping", "kernel_id": "16439776"}, {"ref": "anjum48/28th-place-inference-code", "kernel_id": "16904775"}, {"ref": "ozanize/tf-records-hubmap", "kernel_id": "16256939"}, {"ref": "tiandaye/hubmap-exp007-train", "kernel_id": "16898965"}, {"ref": "mpware/handlabels-prize", "kernel_id": "16904837"}, {"ref": "lhagiimn/hubmap-efficient-sampling-deepflash2-sub-a8a", "kernel_id": "16825984"}, {"ref": "lhagiimn/test-hubmap-efficient-sampling-final", "kernel_id": "16864633"}, {"ref": "lhagiimn/hubmap-efficient-sampling-deepflash2", "kernel_id": "16057249"}, {"ref": "dskswu/team-404-hubmap-presentation-v1-1", "kernel_id": "16893448"}, {"ref": "fabiendaniel/submit-layer1", "kernel_id": "16517228"}, {"ref": "fabiendaniel/submit-hubmap", "kernel_id": "16518170"}, {"ref": "fabiendaniel/hubmap-model", "kernel_id": "16266706"}, {"ref": "fabiendaniel/hubmap-v2", "kernel_id": "16264095"}, {"ref": "fabiendaniel/submit-layer2", "kernel_id": "16265765"}, {"ref": "trytolose/ensemble-pipline", "kernel_id": "16841572"}, {"ref": "vladimirgroza/fork-of-hubmap-submission-experts-raster-i-o-ve", "kernel_id": "16694141"}, {"ref": "matjes/hubmap-efficient-sampling-ii-deepflash2", "kernel_id": "16608459"}, {"ref": "matjes/hubmap-deepflash2-judge-price", "kernel_id": "16690544"}, {"ref": "matjes/cptac-pda-deepflash2-validation", "kernel_id": "16859780"}, {"ref": "matjes/hubmap-deepflash2-scaled-ensemble-submission", "kernel_id": "16859151"}, {"ref": "matjes/hubmap-deepflash2-train", "kernel_id": "16834442"}, {"ref": "matjes/cptac-pda-to-zarr", "kernel_id": "16839043"}, {"ref": "matjes/cptac-pda-pancreas-efficient-sampling-deepflash2", "kernel_id": "16843559"}, {"ref": "matjes/cptac-pda-train-deepflash2", "kernel_id": "16844023"}, {"ref": "matjes/hubmap-deepflash2-submission", "kernel_id": "16850380"}, {"ref": "matjes/hubmap-deepflash2-validation", "kernel_id": "16850523"}, {"ref": "salazarslytherin/kidney-166", "kernel_id": "16048253"}, {"ref": "tuniosuleman/hubmap-hacking-the-kidney-details", "kernel_id": "16080013"}, {"ref": "pratikkumar/hubmap-win1024-sz480-inference-batched-subds", "kernel_id": "16871713"}, {"ref": "pratikkumar/hubmapdataset-sz480-window1024", "kernel_id": "16284428"}, {"ref": "durbin164/bce-dice-loss-with-soft-label-knowledge-distillati", "kernel_id": "16355770"}, {"ref": "durbin164/v2-hubmap-tf-with-multi-model-ensumble-sub", "kernel_id": "16480014"}, {"ref": "jihangz/hubmap-576-reduce-fp-sliding-window", "kernel_id": "16862256"}, {"ref": "boyarintsev/make-answer-new", "kernel_id": "16675239"}, {"ref": "khoongweihao/hubmap-ensemble-tta-deepflash2", "kernel_id": "16669930"}, {"ref": "vedenev/for-judges", "kernel_id": "16794813"}, {"ref": "greylord1996/resnet-34-effnetb4-original-data", "kernel_id": "16841358"}, {"ref": "snowballball/hubmap-submit1", "kernel_id": "16386137"}, {"ref": "rishabhdev070/training-hubmap-full-data", "kernel_id": "16333718"}, {"ref": "jaideepvalani/deepflash-updated-raster", "kernel_id": "16814327"}, {"ref": "theoviel/hubmap-final-methodology-submission", "kernel_id": "16895315"}, {"ref": "adrofa/install-zarr", "kernel_id": "16065693"}, {"ref": "adrofa/install-smp", "kernel_id": "16065593"}, {"ref": "adrofa/install-mahotas", "kernel_id": "16072303"}, {"ref": "c7934597/hubmap-hacking-the-kidney", "kernel_id": "16828960"}, {"ref": "radadiyamohit/hubmap-efficient-sampling-deepflash2", "kernel_id": "16106695"}, {"ref": "duylebku/training", "kernel_id": "16402364"}, {"ref": "ryunosukeishizaki/our-magics-for-this-competition", "kernel_id": "16851543"}, {"ref": "qiuweimin1332499/hubmap-tf-with-tpu-efficientunet-256-tfrecord", "kernel_id": "16331843"}, {"ref": "o93333/efficientnet-linknet-or-unet", "kernel_id": "16826158"}, {"ref": "mistag/train-fpn-segmentation-model-no-43e", "kernel_id": "16862621"}, {"ref": "mistag/hubmap-image-2-tfrecords-256-512-1024", "kernel_id": "16111699"}, {"ref": "rahanapa/hubmap-efficientnetb7-submission", "kernel_id": "16878108"}, {"ref": "shujun717/hubmap-3rd-place-inference", "kernel_id": "16786207"}, {"ref": "harshsharma511/one-stop-understanding-eda-efficientunet", "kernel_id": "16158782"}, {"ref": "pushpalathamohith/hubmap-eda", "kernel_id": "16638226"}, {"ref": "pushpalathamohith/kaggle-hubmap", "kernel_id": "16394674"}, {"ref": "simsonimus/hubmap-prediction", "kernel_id": "16779953"}, {"ref": "simsonimus/hubmap-training", "kernel_id": "16317710"}, {"ref": "nayuts/creating-mask-from-bbox-with-deepmac", "kernel_id": "16588842"}, {"ref": "puyuzhou/test-xx", "kernel_id": "16876828"}, {"ref": "yashassanil/hubmap-new-tf-record-filtered", "kernel_id": "16226859"}, {"ref": "tachyon777/test-notebook-1", "kernel_id": "16580214"}, {"ref": "tlopesma/fork-of-don-t-fail-me-78bc73", "kernel_id": "16871190"}, {"ref": "lililycai/infer-hubmap-deepflash2-bce", "kernel_id": "16271353"}, {"ref": "drzhuzhe/ananlysis-predict", "kernel_id": "16243093"}, {"ref": "drzhuzhe/hubmap-tf-with-tpu-efficientunet-256-tfrecord", "kernel_id": "16104668"}, {"ref": "mountainking/hubmap-efficient-sampling-deepflash2", "kernel_id": "16165148"}, {"ref": "rpsantosakaggle/xxxxxtestx", "kernel_id": "16917480"}, {"ref": "rpsantosakaggle/python-workaround", "kernel_id": "16915163"}, {"ref": "kosukekita/simple-unet-with-pytorchlightning", "kernel_id": "16547821"}, {"ref": "dannyelkallab/fork-of-hubmap-submission-experts-raster-i-o", "kernel_id": "16799901"}, {"ref": "ridhiptharay/hubmap-hacking-the-kidney", "kernel_id": "16762903"}, {"ref": "kevin1742064161/seg-yolo-final-inference", "kernel_id": "16797406"}, {"ref": "rezinchow/efficientnet-linknet-or-unet-07c90f", "kernel_id": "16658323"}, {"ref": "rezinchow/hubmap-efficient-sampling-deepflash2-rezin", "kernel_id": "16043642"}, {"ref": "swar249/eda-hubmap", "kernel_id": "16645509"}, {"ref": "barakhellman/hubmap-tf-with-tpu-efficientunet-512x512-train", "kernel_id": "16006740"}, {"ref": "southsakura/classifier", "kernel_id": "16068525"}, {"ref": "liustrong/256x256-images-eda", "kernel_id": "16795215"}, {"ref": "liustrong/submit", "kernel_id": "16794615"}, {"ref": "liustrong/unext-train", "kernel_id": "16795378"}, {"ref": "abdulkadirguner/11mayis-newmaskversions", "kernel_id": "16869699"}, {"ref": "muhammadzubairkhan92/hubmap-let-s-visualize-and-understand-dataset", "kernel_id": "16847716"}, {"ref": "georgiikostiuchik/hubmap-exploratory-data-analysis", "kernel_id": "16292980"}, {"ref": "sonya1/v2-hubmap-tf-with-multi-model-ensumble-sub", "kernel_id": "16858143"}, {"ref": "sonya1/kidney-unet-model-keras-inference-9269a8", "kernel_id": "16090792"}, {"ref": "sonya1/notebook6cbfe81637", "kernel_id": "16147657"}, {"ref": "jesusdon/fork-of-e49b68", "kernel_id": "16873194"}, {"ref": "jesusdon/hubmap-efficient-sampling-deepflash2-train", "kernel_id": "16881175"}, {"ref": "jesusdon/kidney-train", "kernel_id": "16810714"}, {"ref": "gilfernandes/pytorch-mixed-efficientnet-b7-1536-0-9516", "kernel_id": "17076551"}, {"ref": "iafoss/hubmap-r2-sub", "kernel_id": "17968751"}, {"ref": "takeajioka/hubmap-tf-with-tpu-efficientunet-overlap-mask", "kernel_id": "17137858"}, {"ref": "shujun717/hubmap-3rd-place-fast", "kernel_id": "17071232"}, {"ref": "khaledmgamal/hubmap-hacking-the-kidney", "kernel_id": "17067590"}, {"ref": "rpsantosakaggle/no-borders-effect", "kernel_id": "17075102"}, {"ref": "henryw35/copy-smp-unet-inference", "kernel_id": "17111501"}, {"ref": "georgiikostiuchik/hubmap-sub", "kernel_id": "17730844"}, {"ref": "kartikpandeykp/segmentation-model-using-semtorch", "kernel_id": "20232467"}, {"ref": "mubashiryasin/tpu-hubmap-double-u-net-model-augmentation", "kernel_id": "21600994"}, {"ref": "gssdatamanager/prepare-hubmap-dataset-with-patchify-library", "kernel_id": "22027621"}, {"ref": "smalldragon11/hubmap-v2", "kernel_id": "24752658"}, {"ref": "lhd0430/hubmap-hacking-the-kidney", "kernel_id": "25233237"}, {"ref": "felipesens/tcc-b0-mostrando-curva-de-treino-e-segmenta-es", "kernel_id": "25303007"}, {"ref": "namgalielei/hubmap-tilespadded-inference-v2", "kernel_id": "26604746"}, {"ref": "damtrongtuyen/hubmap-tilespadded-inference-v2", "kernel_id": "26622638"}, {"ref": "tgound/hubmap-3rd-place-fast", "kernel_id": "27596004"}, {"ref": "tgound/hubmap-exploratory-data-analysis", "kernel_id": "27564097"}, {"ref": "friedchips/fast-fully-correct-hubmap-v2-rle-encoding", "kernel_id": "28182025"}, {"ref": "mpwolke/hacking-human-body-gdal", "kernel_id": "28216955"}, {"ref": "befunny/hubmap-fast-ai-starter-efficientnet", "kernel_id": "28636190"}, {"ref": "jaideepvalani/tiles-mayo-using-rasterio", "kernel_id": "29430685"}, {"ref": "gunesevitan/pixel-size-and-tissue-thickness-domain-adaptation", "kernel_id": "29405277"}, {"ref": "jirkaborovec/hubmap-segm-eda-export-rle-mask", "kernel_id": "29519713"}, {"ref": "lililycai/deepflash-efficient-sampling-train-external", "kernel_id": "30079187"}, {"ref": "chuaziheng/cz4041-inference", "kernel_id": "30171711"}, {"ref": "matteociotola/iadf-school-ex1", "kernel_id": "30418767"}, {"ref": "chuaziheng/cz4041-zh", "kernel_id": "31000841"}, {"ref": "shyamgupta196/tiff-guide-ot-ot", "kernel_id": "31022231"}, {"ref": "jslee35/image-seg-easy-code", "kernel_id": "31752641"}, {"ref": "quantiphi/hubmap-rishabh", "kernel_id": "32430410"}, {"ref": "ch1119/final-project", "kernel_id": "33027850"}, {"ref": "ch1119/hubmap-pytorch-fast-ai-starter-sub", "kernel_id": "33032306"}, {"ref": "weihero/notebookhubmap-yolov8", "kernel_id": "39103859"}, {"ref": "sabahesaraki/kidney-tissue-segmentation-eda", "kernel_id": "41343572"}, {"ref": "sabahesaraki/kidney-tissue-segmentation-mask", "kernel_id": "41479946"}, {"ref": "uitacma/kech-unanalyzed-tilessomek", "kernel_id": "42062996"}, {"ref": "uitacma/kech-unanalyzed-tiles105k", "kernel_id": "42039339"}, {"ref": "konathamanilkrishna/kidneysegmentationimageprocessing", "kernel_id": "42651531"}, {"ref": "shaironen/atd-packages", "kernel_id": "43440871"}, {"ref": "daedalus01/pytorch-fcn-resnet50-in-20-minute", "kernel_id": "43316124"}, {"ref": "berkayaydeniz/hubmap-exploratory-data-analysis-aciklama", "kernel_id": "44014892"}, {"ref": "ruoyu1024/ai-test-lab1", "kernel_id": "44119494"}, {"ref": "patipoltiyajamorn/cbam-r2unet-kidney-segmentation", "kernel_id": "45705900"}, {"ref": "kristianzeng/kidney-final-stage", "kernel_id": "45635692"}, {"ref": "king307/final-version", "kernel_id": "45531049"}, {"ref": "king307/resnet-unet", "kernel_id": "45685967"}, {"ref": "ifuzheng/hubmap-unet", "kernel_id": "45691725"}, {"ref": "abebe9849/hubmap-pytorch-smp-unet", "kernel_id": "49826609"}, {"ref": "jirkaborovec/rle-run-length-encoding", "kernel_id": "49825957"}, {"ref": "mouneshpatil/hubmap-hacking-the-kidney", "kernel_id": "49168179"}, {"ref": "mouneshpatil/pixel-size-and-tissue-thickness-domain-adaptation", "kernel_id": "49305660"}, {"ref": "mouneshpatil/pytorchfcn-resnet50", "kernel_id": "49673146"}, {"ref": "mouneshpatil/hubmap", "kernel_id": "49672781"}, {"ref": "mouneshpatil/hubmap-final-methodology-submission", "kernel_id": "49667043"}, {"ref": "mouneshpatil/hubmap-deepflash2-judge-price", "kernel_id": "49556066"}, {"ref": "mouneshpatil/one-stop-understanding-eda-efficientunet", "kernel_id": "49556492"}, {"ref": "mouneshpatil/hubmap-deepflash2-train", "kernel_id": "49556252"}, {"ref": "mouneshpatil/hubmap-efficient-sampling-ii-deepflash2", "kernel_id": "49556273"}, {"ref": "mouneshpatil/train-fpn-segmentation-model-no-43e", "kernel_id": "49556324"}, {"ref": "mouneshpatil/creating-mask-from-bbox-with-deepmac", "kernel_id": "49556405"}, {"ref": "mouneshpatil/hubmap-exploratory-data-analysis-c3afd8", "kernel_id": "49461165"}, {"ref": "mouneshpatil/hubmap-exploratory-data-analysis", "kernel_id": "49461067"}, {"ref": "mouneshpatil/efficientnet-linknet-or-unet-07c90f", "kernel_id": "49461673"}, {"ref": "nourallahahmed/yolov4", "kernel_id": "50386397"}, {"ref": "shabilion/yolov6", "kernel_id": "50318487"}, {"ref": "omarkhaled24810/kidney-final-stage", "kernel_id": "53763039"}, {"ref": "bchems/all-the-segmentation-metrics", "kernel_id": "57154091"}, {"ref": "drstrange219/hubmap-eda-starter-notebook-with-rasterio", "kernel_id": "66768085"}, {"ref": "roy5000/uwmgi-segmentation", "kernel_id": "75193809"}, {"ref": "vfxgb11/notebookf00224c310", "kernel_id": "80749115"}, {"ref": "kayacioglu/ubmap-kdiney-yolo-sub", "kernel_id": "97644054"}, {"ref": "ameliefang/pytorchfcn-resnet50-256x256", "kernel_id": "102885390"}, {"ref": "naijinsun/vision-transformer", "kernel_id": "102645638"}, {"ref": "naijinsun/pytorchfcn-resnet50-256x256", "kernel_id": "104548816"}, {"ref": "kayacioglu/yolov11", "kernel_id": "105253891"}, {"ref": "kayacioglu/grid-search-yolo-medsam-final", "kernel_id": "108797166"}, {"ref": "jihanetsp/fork-of-v2-hacking-the-kidney", "kernel_id": "108068361"}, {"ref": "smohanesh/fypkd2026", "kernel_id": "110233359"}, {"ref": "smohanesh/classification", "kernel_id": "111219393"}, {"ref": "linplusx/data-mining", "kernel_id": "118239600"}, {"ref": "linjiax/hubmap-sub", "kernel_id": "118594407"}, {"ref": "sysdmg/hubmap-unet", "kernel_id": "119266938"}]}
{"competition_id": "22995", "kernels": [{"ref": "nipun356/malaria-parasite-detection", "kernel_id": "50060006"}]}
{"competition_id": "22998", "kernels": []}
{"competition_id": "23010", "kernels": [{"ref": "sammuelbrown/2017a7ps0971-nnfl-lab1", "kernel_id": "12077671"}, {"ref": "peaceagent/2017a7ps0137g-nnfl-lab1", "kernel_id": "12164619"}, {"ref": "chetan008/2018a7ps0225g", "kernel_id": "12154241"}, {"ref": "enigma0160/final-nnfl-lab-1-d2", "kernel_id": "12151015"}, {"ref": "soumikdhua/image-classification-using-cnn", "kernel_id": "12077591"}, {"ref": "susmitwani/2018a7ps0116g-nnfl-lab1", "kernel_id": "12074437"}, {"ref": "avilaneja/2017a7ps0968g", "kernel_id": "12187471"}, {"ref": "f20170070/lab1-2017a7ps0070g", "kernel_id": "12094473"}, {"ref": "vedantchavda/2018a7ps0209g-96-5", "kernel_id": "12157706"}, {"ref": "shashankm24/2018a7ps0127g", "kernel_id": "12154950"}, {"ref": "suryavatsalya/2017a7ps0032g-lab1-nnfl", "kernel_id": "12137239"}, {"ref": "rajathreghunath0059/nnfl-lab-1-2017a7ps0059g", "kernel_id": "12075619"}, {"ref": "abichalghosh/2018a7ps0172g-cnn", "kernel_id": "12093091"}, {"ref": "akhilanandtarikere/cnn-n1", "kernel_id": "12075220"}, {"ref": "nandanms/2017b4a70657g-lab1", "kernel_id": "12175063"}, {"ref": "vanshikakapoor/2017b5a70624g", "kernel_id": "12136080"}, {"ref": "vinayakshukla03/nnfl-lab-1-gpu", "kernel_id": "12109784"}, {"ref": "mayanksheoran/notebook6f737b090f", "kernel_id": "12145443"}, {"ref": "ninadsunilmhalgi/2018a7ps0162g", "kernel_id": "12153052"}, {"ref": "emiya007/2017a7ps0956g", "kernel_id": "12117748"}, {"ref": "adityajain8/2018a7ps0243g", "kernel_id": "12151094"}, {"ref": "pulkitpurwar27/2018a7ps0091g", "kernel_id": "12161891"}, {"ref": "subhjeetpati/notebook064c059ce6", "kernel_id": "12094166"}, {"ref": "saurabh1207/2018a7ps0157g", "kernel_id": "12149392"}]}
{"competition_id": "23016", "kernels": []}
{"competition_id": "23020", "kernels": [{"ref": "josvora/reference-notebook", "kernel_id": "12071222"}]}
{"competition_id": "23037", "kernels": []}
{"competition_id": "23047", "kernels": [{"ref": "barahlush/notebookbf150d293c", "kernel_id": "12188283"}, {"ref": "yerzhaisang/notebookfa5a3adad6", "kernel_id": "12200579"}, {"ref": "nikitabekezin/eda-user-feature-matrix", "kernel_id": "12191734"}, {"ref": "leonidkulikov/notebook883ff79133", "kernel_id": "12188453"}]}
{"competition_id": "23050", "kernels": []}
{"competition_id": "23074", "kernels": []}
{"competition_id": "23079", "kernels": []}
{"competition_id": "23081", "kernels": [{"ref": "kuantinglai/109-1-ntut-dl-app-hw1-demo", "kernel_id": "12122626"}, {"ref": "ashish12350/emnist-using-cnn-87-15-test-accuracy", "kernel_id": "12197088"}]}
{"competition_id": "23086", "kernels": []}
{"competition_id": "23087", "kernels": []}
{"competition_id": "23088", "kernels": []}
{"competition_id": "23099", "kernels": []}
{"competition_id": "23103", "kernels": []}
{"competition_id": "23107", "kernels": []}
{"competition_id": "23109", "kernels": []}
{"competition_id": "23110", "kernels": []}
{"competition_id": "23111", "kernels": []}
{"competition_id": "23120", "kernels": []}
{"competition_id": "23137", "kernels": []}
{"competition_id": "23166", "kernels": [{"ref": "jillwang87/xgboost", "kernel_id": "12263036"}]}
{"competition_id": "23182", "kernels": []}
{"competition_id": "23203", "kernels": []}
{"competition_id": "23209", "kernels": [{"ref": "shabbir94/notebook15a18bc7e2", "kernel_id": "12243887"}]}
{"competition_id": "23222", "kernels": []}
{"competition_id": "23224", "kernels": [{"ref": "ossinovskov/notebook49b5cf7d38", "kernel_id": "13708787"}]}
{"competition_id": "23232", "kernels": []}
{"competition_id": "23233", "kernels": []}
{"competition_id": "23249", "kernels": [{"ref": "rijuvaish/gravitational-wave-detection-ensemble-tf", "kernel_id": "18429901"}, {"ref": "sarodyatawatta/klt-bam-method", "kernel_id": "18624348"}, {"ref": "aninda/g2net-fastai", "kernel_id": "18260377"}, {"ref": "aramos/eda-g2net-gravitational-wave-detection-2021", "kernel_id": "18471483"}, {"ref": "rodolphelampe/pycbc-making-images", "kernel_id": "18305138"}, {"ref": "kevinmcisaac/g2net-spectral-whitening", "kernel_id": "18437579"}, {"ref": "kevinmcisaac/g2nettfrec", "kernel_id": "18915015"}, {"ref": "tttzof351/g2net-stft-cqt-cwt", "kernel_id": "18513824"}, {"ref": "allunia/signal-where-are-you", "kernel_id": "18277302"}, {"ref": "samusram/g2net-example-of-sampling-positive-neg-cases", "kernel_id": "18259272"}, {"ref": "samusram/g2net-mapping-id-to-file-path", "kernel_id": "18250961"}, {"ref": "aakashnain/compare-signals-interactively", "kernel_id": "18276603"}, {"ref": "yseeker/singlemodel-lb-0-859-efficientnetv2-rw-s-via-tez", "kernel_id": "18282048"}, {"ref": "headsortails/when-stars-collide-g2net-eda", "kernel_id": "18251153"}, {"ref": "msafi04/g2net-gravitational-wave-detection", "kernel_id": "18259367"}, {"ref": "atamazian/nnaudio-constant-q-transform-demonstration", "kernel_id": "18336654"}, {"ref": "alexnitz/pycbc-making-images", "kernel_id": "18268903"}, {"ref": "miklgr500/eda-g2net-efficientnetb1-embeding-grad-cam", "kernel_id": "18397351"}, {"ref": "miklgr500/g2net-test-0-3", "kernel_id": "18277246"}, {"ref": "miklgr500/g2net-efficientnetb1-tpu-training-cv-0-821", "kernel_id": "18274997"}, {"ref": "miklgr500/1-let-s-blend-lb-0-872-oops", "kernel_id": "18299311"}, {"ref": "miklgr500/q-transform-tfrecords", "kernel_id": "18285192"}, {"ref": "miklgr500/g2net-efficientnetb1-tpu-evaluate", "kernel_id": "18284978"}, {"ref": "miklgr500/spector-power-tfrecords", "kernel_id": "18253626"}, {"ref": "miklgr500/cqt-g2net-efficientnetb7-tpu-training-w-b", "kernel_id": "18323296"}, {"ref": "miklgr500/cqt-g2net-efficientnetb7-tpu-inference", "kernel_id": "18348701"}, {"ref": "miklgr500/q-transform-tfrecords-test-0-1", "kernel_id": "18340099"}, {"ref": "maheswarareddyp/gw-mahesh", "kernel_id": "18249924"}, {"ref": "ihelon/g2net-eda-and-modeling", "kernel_id": "18249830"}, {"ref": "thedrcat/intro-to-signal-processing-for-absolute-beginners", "kernel_id": "18324318"}, {"ref": "thedrcat/data-preprocessing-with-gwpy-1", "kernel_id": "18283863"}, {"ref": "thedrcat/g2net-fastai-resnet34-starter-mel", "kernel_id": "18269326"}, {"ref": "thedrcat/g2net-fastai-resnet34-starter", "kernel_id": "18263459"}, {"ref": "bsridatta/g2net-getting-started-pytorch-lightning", "kernel_id": "18276119"}, {"ref": "abhishek1aa/g2net-exploring-data-representations", "kernel_id": "18265417"}, {"ref": "kneroma/g2net-fast-and-almost-accurate-detector", "kernel_id": "18311140"}, {"ref": "yasufuminakama/g2net-efficientnet-b7-baseline-inference", "kernel_id": "18277173"}, {"ref": "yasufuminakama/g2net-spectrogram-generation-test", "kernel_id": "18272975"}, {"ref": "yasufuminakama/g2net-efficientnet-b7-baseline-training", "kernel_id": "18274907"}, {"ref": "yasufuminakama/g2net-spectrogram-generation-train", "kernel_id": "18272660"}, {"ref": "muhakabartay/eda-g2net-gw-detection", "kernel_id": "18302267"}, {"ref": "tamoghna96saha/g2net-end-to-end-pipeline", "kernel_id": "18274070"}, {"ref": "jagdmir/g2net-gravitational-starter-eda", "kernel_id": "18350541"}, {"ref": "kool777/g2net-wave-detection-detailed-eda", "kernel_id": "18251972"}, {"ref": "ayuraj/create-constant-q-transformed-dataset", "kernel_id": "18565230"}, {"ref": "ayuraj/g2net-quick-eda-and-cqt-w-b", "kernel_id": "18303151"}, {"ref": "itsuki9180/g2net-tensorflow-tpu-starter", "kernel_id": "18350227"}, {"ref": "itsuki9180/g2net-create-image-tfrecords", "kernel_id": "18346936"}, {"ref": "itsuki9180/g2net-oof-weight-optimizer", "kernel_id": "18865134"}, {"ref": "xhlulu/g2net-rnn-starter-from-spectrogram", "kernel_id": "18302805"}, {"ref": "stpeteishii/g2net-rolling-max-visualize", "kernel_id": "18400099"}, {"ref": "eladwar/madlad-nn", "kernel_id": "18254473"}, {"ref": "mistag/data-preprocessing-with-gwpy", "kernel_id": "18253989"}, {"ref": "mistag/reverse-engineering-create-clean-gw-signals", "kernel_id": "18755717"}, {"ref": "kad99kev/g2net", "kernel_id": "18496620"}, {"ref": "mpwolke/rogue-black-holes", "kernel_id": "18251664"}, {"ref": "snkmr0221/g2net-vqt-features-32x32-or-128x128-img-tfrecord", "kernel_id": "18481818"}, {"ref": "snkmr0221/g2net-visualize-fft-amplitude-phase-wavelet", "kernel_id": "18319376"}, {"ref": "drcapa/gt2net-starter", "kernel_id": "18250441"}, {"ref": "heyytanay/training-g2net-pytorch-trainer-kfolds-w-b", "kernel_id": "18283652"}, {"ref": "piantic/g2net-spectrogram-generation-train-sr-2048", "kernel_id": "18296645"}, {"ref": "piantic/g2net-spectrogram-generation-test-sr-2048", "kernel_id": "18296823"}, {"ref": "capiru/g2net-roc-star-maximize-auc", "kernel_id": "18362231"}, {"ref": "capiru/g2net-starter-easy-training-model-gpu-tpu", "kernel_id": "18281881"}, {"ref": "ligtfeather/pl-1fold-cqt-deepspeed-op-baseline-w-b-84", "kernel_id": "18480233"}, {"ref": "ligtfeather/g2net-fastai-with-augments-cqt-tta-w-b", "kernel_id": "18945356"}, {"ref": "andradaolteanu/g2net-searching-the-sky-pytorch-effnet-w-meta", "kernel_id": "18285246"}, {"ref": "lekynam2000/g2-net-effnet-minimal-version", "kernel_id": "18633345"}, {"ref": "saraei1pyr/data-visualization", "kernel_id": "18253369"}, {"ref": "nayuts/let-s-visualize-data-to-understand", "kernel_id": "18250839"}, {"ref": "tensorchoko/g2net-gravitational-eda", "kernel_id": "18320239"}, {"ref": "fabienbenot/g2net-eda-and-modeling", "kernel_id": "18384552"}, {"ref": "abhishekprajapat/g2net-audio-spectrogram-transformer", "kernel_id": "18492667"}, {"ref": "cnhung/kaggle-g2net-noise-analysis-feature-extraction", "kernel_id": "18499561"}, {"ref": "tanyadayanand/gravitational-wave-detection-eda", "kernel_id": "18252230"}, {"ref": "farhanhaikhan/gw-analysis-feature-engg-predictions", "kernel_id": "18252286"}, {"ref": "somayyehgholami/1-g2net-smart-ensembling", "kernel_id": "18867857"}, {"ref": "maxdner/preprocessing-most-important-frequencies", "kernel_id": "18739120"}, {"ref": "maxdner/signal-preprocessing-whitening-bandpass-filter", "kernel_id": "18695787"}, {"ref": "maxdner/preprocessing-whitened-signal-tfrecords", "kernel_id": "18944362"}, {"ref": "mrigendraagrawal/tf-g2net-eda-and-starter", "kernel_id": "18250211"}, {"ref": "sayantansadhu/problem-explanation-data-processing-and-pytorch", "kernel_id": "18377522"}, {"ref": "rawaaelghali/g2net-gravitational-starter-eda", "kernel_id": "18442615"}, {"ref": "paapchannel/notebook79424bdcf2", "kernel_id": "18508842"}, {"ref": "leolu1998/my-blend-for-g2net", "kernel_id": "18842873"}, {"ref": "abdelrahmanakram/sneaky-space-time", "kernel_id": "18885246"}, {"ref": "ammarnassanalhajali/g2net-eda-signal-transformations", "kernel_id": "18356519"}, {"ref": "ammarnassanalhajali/g2net-keras-inference", "kernel_id": "18471521"}, {"ref": "ammarnassanalhajali/g2net-keras-training", "kernel_id": "18499649"}, {"ref": "xuzongniubi/g2net-efficientnet-b7-baseline-training", "kernel_id": "18765290"}, {"ref": "masatotaka/g2net-ligo-and-train-data-gw-detection", "kernel_id": "18899054"}, {"ref": "wabinab/g2net-train-melspec", "kernel_id": "18731360"}, {"ref": "wabinab/submission-baseline", "kernel_id": "18476756"}, {"ref": "wabinab/gnet-1", "kernel_id": "18392780"}, {"ref": "h053473666/use-tensorflow-tpu-to-decode-npy-files", "kernel_id": "18349372"}, {"ref": "vincentdumetz/g2net-tf-dataset-predict", "kernel_id": "18560700"}, {"ref": "vincentdumetz/g2net-tf-dataset-starter", "kernel_id": "18355078"}, {"ref": "cittasj/gwpy-qct-analysis", "kernel_id": "18807840"}, {"ref": "vungocbinh/g2net-tfrec-dataset-train-0-4", "kernel_id": "18486118"}, {"ref": "vungocbinh/g2net-tensorflow-tfrec", "kernel_id": "18467650"}, {"ref": "vungocbinh/g2net-tfrec-dataset", "kernel_id": "18481701"}, {"ref": "brsdincer/g2net-gravitational-competition-educational", "kernel_id": "18296337"}, {"ref": "charraxeon/g2net-notebook", "kernel_id": "18352235"}, {"ref": "quantumphantom/alan-s-edit-g2net-eda-and-modeling", "kernel_id": "18342930"}, {"ref": "rikofadla/g2-starter-and-eda-riko-fadla", "kernel_id": "18256341"}, {"ref": "yashvardhanprasad/dataset-of-gwpy", "kernel_id": "18501526"}, {"ref": "yassinealouini/signal-processing-theory-and-practice-with-pytorch", "kernel_id": "19915946"}, {"ref": "thimac/gravity-2-prepare-data", "kernel_id": "19650727"}, {"ref": "jamesmcguigan/gwpy-tutorial", "kernel_id": "19468810"}, {"ref": "anjum48/continuous-wavelet-transform-cwt-in-pytorch", "kernel_id": "19522582"}, {"ref": "abhinaythurlapati/g2net-gw-detection", "kernel_id": "19778141"}, {"ref": "johnakwei/gravitational-wave-detection-in-r", "kernel_id": "19036015"}, {"ref": "atamazian/pytorchwavelets-cwt-demonstration", "kernel_id": "19966946"}, {"ref": "coldfir3/cqt-dataset-generator-rgb-jpg", "kernel_id": "19856655"}, {"ref": "coldfir3/ensemble-of-ensemble-of-ensemble-public-lb-0-99", "kernel_id": "19748395"}, {"ref": "sapal6/g2gwd-basemodel-nnaudio-timm-fastai", "kernel_id": "19932184"}, {"ref": "sapal6/g2gwd-base-model-fastai-resnet", "kernel_id": "19829118"}, {"ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-5-9", "kernel_id": "19246602"}, {"ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-10-14", "kernel_id": "19246669"}, {"ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-15-19", "kernel_id": "19246725"}, {"ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-test-0-4", "kernel_id": "19270618"}, {"ref": "hidehisaarai1213/g2net-waveform-tfrecords-creation-test-5-9", "kernel_id": "19270832"}, {"ref": "hidehisaarai1213/g2net-waveform-tfrecords", "kernel_id": "19226747"}, {"ref": "hidehisaarai1213/g2net-tf-on-the-fly-cqt-tpu-inference", "kernel_id": "19630765"}, {"ref": "hidehisaarai1213/g2net-tf-on-the-fly-cqt-tpu-training", "kernel_id": "19604493"}, {"ref": "hidehisaarai1213/g2net-read-from-tfrecord-train-with-pytorch", "kernel_id": "19950113"}, {"ref": "jcesquiveld/efficientnet-cqt-pytorch-lightning-starter", "kernel_id": "19012099"}, {"ref": "zarif98sjs/g-wave-seresnet50-inference", "kernel_id": "19418281"}, {"ref": "mozhiwenmzw/g2net-efficientnet-b7-nontrainable-cqt-layer", "kernel_id": "19442689"}, {"ref": "mozhiwenmzw/get-data-id-faster-during-tpu-inference", "kernel_id": "19801705"}, {"ref": "tanez94/cqt-pytorch-stable-v1", "kernel_id": "19846357"}, {"ref": "itsuki9180/cqt-g2net-efficientnetv2b0-tpu-training", "kernel_id": "19454346"}, {"ref": "itsuki9180/cqt-g2net-efficientnetv2b0-tpu-inference", "kernel_id": "19450765"}, {"ref": "soumochatterjee/g2netpytorch", "kernel_id": "19952612"}, {"ref": "mistag/mean-and-std-calculations-for-the-entire-dataset", "kernel_id": "19846010"}, {"ref": "mistag/wavelet1d-custom-keras-wavelet-transform-layer", "kernel_id": "19576188"}, {"ref": "artemzapara/g2net-clean-eda-cqt", "kernel_id": "19565971"}, {"ref": "kuroyuli/g2net-modified-smart-ensembling", "kernel_id": "19976047"}, {"ref": "rajeshp8783/tfrecord-creation", "kernel_id": "19903759"}, {"ref": "hirayukis/g2net-efficientnet-pytorch-xla-tpu", "kernel_id": "19895924"}, {"ref": "ssagar012/gravitational-waves-detection", "kernel_id": "19954622"}, {"ref": "hzhaobang/g2net-pytorch-lightning-efficientnet", "kernel_id": "19900694"}, {"ref": "pranay1990/pranay-g2net-gw", "kernel_id": "19170945"}, {"ref": "kirderf/get-gs-name", "kernel_id": "19511946"}, {"ref": "dragonzhang/g2net-tf-effnetv2-l-cqt-tpu-training", "kernel_id": "19766287"}, {"ref": "dragonzhang/g2net-tf-effnetv2-cqt-tpu-inference", "kernel_id": "19712066"}, {"ref": "leemop/modulizing", "kernel_id": "19634279"}, {"ref": "junlilu/train-bandpass-cwt-efficientnet", "kernel_id": "19447820"}, {"ref": "kaitohonda/g2net-analysis-starter", "kernel_id": "19145218"}, {"ref": "mohammadasimbluemoon/eda-loading-and-visualizing-data", "kernel_id": "19390787"}, {"ref": "sourabhy/gravitational-wave-detection", "kernel_id": "19830594"}, {"ref": "huchenjiang/g2net-tf-on-the-fly-cqt-tpu-training", "kernel_id": "19648143"}, {"ref": "dankopenko/g2net-rnn-starter-from-spectrogram", "kernel_id": "19049684"}, {"ref": "jeanpaulyepes/entrega", "kernel_id": "19820676"}, {"ref": "hinamimi/visualization-gravitational-wave-with-librosa", "kernel_id": "19590970"}, {"ref": "paulrohan2020/basic-eda-and-a-baseline-keras-model", "kernel_id": "19978735"}, {"ref": "xuxu1234/lb-0-866-g2net-efficientnetb7-tpu-inference", "kernel_id": "19191192"}, {"ref": "wabinab/gnet-1-another", "kernel_id": "19958799"}, {"ref": "khhassan/eda-loading-and-visualizing-data", "kernel_id": "19415411"}, {"ref": "nizado/g2net-model", "kernel_id": "19658703"}, {"ref": "vamsikrishnab/gw-detection-blend", "kernel_id": "19948631"}, {"ref": "vamsikrishnab/cqt-g2net-efficientnetb1-tpu-inference", "kernel_id": "19506564"}, {"ref": "vamsikrishnab/cqt-g2net-efficientnetv2-training", "kernel_id": "19519845"}, {"ref": "estebansnchezgmez/g2net-tf-on-the-fly-cqt-tpu-training", "kernel_id": "19849664"}, {"ref": "nesslc/ondas-grav", "kernel_id": "19061242"}, {"ref": "tez6c32/cqt-pytorch-experimental-v2", "kernel_id": "19912127"}, {"ref": "brandonbenton/gravitational-wave-detection", "kernel_id": "19710692"}, {"ref": "mahmoudhelmy957/g2net-eda", "kernel_id": "19406039"}, {"ref": "abhishek/g2net-folds", "kernel_id": "20370021"}, {"ref": "abhishek/clean-simple-training-with-tez", "kernel_id": "20422916"}, {"ref": "titericz/simulated-gw", "kernel_id": "20346792"}, {"ref": "blankaf/g2net-train-eval-tpu", "kernel_id": "20448898"}, {"ref": "atamazian/cmorlet-tensorflow-cwt-demonstration", "kernel_id": "20184477"}, {"ref": "snnclsr/g2net-pytorch-inference", "kernel_id": "20003088"}, {"ref": "meaninglesslives/self-supervised-method-for-gravitation-wave-det", "kernel_id": "20959681"}, {"ref": "ragnar123/g2net-effb7-100-seed-21", "kernel_id": "20184221"}, {"ref": "yamsam/g2net-skf-path", "kernel_id": "20570128"}, {"ref": "yamsam/g2net-soft-pl-b5-fold1", "kernel_id": "20728431"}, {"ref": "yamsam/g2net-soft-pl-b5-fold2", "kernel_id": "20728533"}, {"ref": "yamsam/g2net-soft-pl-b5-fold3", "kernel_id": "20728572"}, {"ref": "yamsam/g2net-soft-pl-b5-fold4", "kernel_id": "20728590"}, {"ref": "yamsam/g2net-soft-pl-b5-fold0", "kernel_id": "20725843"}, {"ref": "yamsam/g2net-tpu-soft-pseudo-path", "kernel_id": "20705379"}, {"ref": "yamsam/g2net-pseudo8779-1", "kernel_id": "20473066"}, {"ref": "yamsam/g2net-tf-on-the-fly-cqt-tpu-inference-path", "kernel_id": "20009132"}, {"ref": "callmeb/cwt-in-pytorch-that-actually-works-in-gpus", "kernel_id": "20420427"}, {"ref": "starkking07/swin-transformer", "kernel_id": "20559979"}, {"ref": "starkking07/g2net-effb7-100-seed-21", "kernel_id": "20657618"}, {"ref": "analokamus/1d-cnn-densenet1d", "kernel_id": "20925582"}, {"ref": "mightyrains/gravitational-waves-but-as-anomalies", "kernel_id": "20343490"}, {"ref": "jaideepvalani/g2net-tfrec-cqt-pytorch-inference-public", "kernel_id": "20182876"}, {"ref": "tanez94/cqt-pytorch-param-tuning-2-fork", "kernel_id": "20098912"}, {"ref": "tanez94/g2net-tf-on-the-fly-cqt-tpu-training", "kernel_id": "20042960"}, {"ref": "tanez94/cqt-pytorch-param-tuning-trf", "kernel_id": "20199250"}, {"ref": "firefliesqn/g2net-tpu-newbie", "kernel_id": "20403276"}, {"ref": "firefliesqn/g2net-ensemble", "kernel_id": "20409850"}, {"ref": "firefliesqn/g2net-gpu-newbie", "kernel_id": "20409491"}, {"ref": "scaomath/g2net-vision-transformer-starter", "kernel_id": "20449494"}, {"ref": "scaomath/g2net-periodogram-eda-of-1d-cnn-model", "kernel_id": "20748422"}, {"ref": "scaomath/g2net-1d-cnn-gem-pool-pytorch-train-inference", "kernel_id": "20542516"}, {"ref": "scaomath/g2net-vision-transformer-pytorch-baseline", "kernel_id": "20560025"}, {"ref": "a13x10/g2net-efficientnet-b7", "kernel_id": "20591224"}, {"ref": "domizianostingi/gravitational-waves-plot", "kernel_id": "20060451"}, {"ref": "cocoinit23/shake-estimation", "kernel_id": "20857712"}, {"ref": "ssato1219/ensemble", "kernel_id": "20796392"}, {"ref": "snkmr0221/g2net-vqt-128x128-tfrecord-efn7-train", "kernel_id": "20274104"}, {"ref": "kit716/grav-wave-detection", "kernel_id": "20409169"}, {"ref": "abhishekpundir/stratified-k-fold-splitting", "kernel_id": "20913132"}, {"ref": "pranay1990/cwt-smaller-subset-training-data", "kernel_id": "20596924"}, {"ref": "jbomitchell/effb7-normalised-18-epochs", "kernel_id": "20418804"}, {"ref": "bharadwajvedula/lb-0-8716-tpu-tf-efficientnetb1-inference", "kernel_id": "20606048"}, {"ref": "bharadwajvedula/lb-0-8716-tpu-tf-efficientnetb1-training", "kernel_id": "20591784"}, {"ref": "manjunathns/gw-wave-detection-tensorflow-rev-01-cpu", "kernel_id": "20112017"}, {"ref": "christophermcbride/g2net-gravwave-with-fastai", "kernel_id": "20675063"}, {"ref": "leemop/the-way-making-additional-preprocessed-tfrecords", "kernel_id": "20135690"}, {"ref": "leemop/using-preprocessed-bandfilter-tfrecords-with-all", "kernel_id": "20110977"}, {"ref": "leemop/sampling-ultimate-bad-data-using-tfrecords", "kernel_id": "20344093"}, {"ref": "thomasswain/baseline-cnn-g2net", "kernel_id": "20724198"}, {"ref": "yudaiyamaguchi/tpu-bp-cpt", "kernel_id": "20824082"}, {"ref": "mbatuhantur/gravitaionalwave", "kernel_id": "20973462"}, {"ref": "robertlangdonvinci/testg2net-audio-wave-data", "kernel_id": "20268928"}, {"ref": "robertlangdonvinci/band-pass-g2net-model-train", "kernel_id": "20350514"}, {"ref": "robertlangdonvinci/band-pass-traintest-g2net-audio-wave-data", "kernel_id": "20343014"}, {"ref": "robertlangdonvinci/train-g2net-audio-wave-data", "kernel_id": "20230751"}, {"ref": "robertlangdonvinci/tez-g2net-3channel-resnest50", "kernel_id": "20712174"}, {"ref": "energydatascientist/notebookb074aad9e6", "kernel_id": "20901929"}, {"ref": "pavfedotov/blending-g2net", "kernel_id": "20208925"}, {"ref": "lakshit28/g2net-gravitational-wave-detection", "kernel_id": "20826278"}, {"ref": "yukioi/g2net-effb7-100-seed-21-inoue", "kernel_id": "20797655"}, {"ref": "junhyeok99/g2net-efficientnetv2", "kernel_id": "20384319"}, {"ref": "evgeniibondarenko/cnn-lstm-rgb", "kernel_id": "20865064"}, {"ref": "kevinpardede/ann1d-test", "kernel_id": "20016827"}, {"ref": "nesterenkomarina/load-files-to-your-pc-g2net", "kernel_id": "20057235"}, {"ref": "esratmaria/gravitational-wave-detection-simple-cnn-model", "kernel_id": "20435780"}, {"ref": "aishikai/g2net-pytorch-lightning-training", "kernel_id": "20604640"}, {"ref": "aishikai/g2net-pytorch-xla-rocstar-loss", "kernel_id": "20445305"}, {"ref": "avantikashrivastava/g2net-eda-preprocessing-model", "kernel_id": "20826332"}, {"ref": "susheelkumarsky/basic-eda-and-a-baseline-keras-model", "kernel_id": "20091191"}, {"ref": "gyozzza/g2net-1dcnn-perceiver", "kernel_id": "21260322"}, {"ref": "gyozzza/g2net-1dcnn-transformer", "kernel_id": "21112691"}, {"ref": "huberthamelin/g2net", "kernel_id": "21570314"}, {"ref": "kirfedo/grav-waves-dataset-analysis", "kernel_id": "21318319"}, {"ref": "chenyigen/baseline-cnn-g2net", "kernel_id": "22373964"}, {"ref": "rhythmcam/pandas-basic-make-training-folds-csv", "kernel_id": "22024108"}, {"ref": "abiirram/g2net-efficientnet-b7-baseline-inference", "kernel_id": "22490253"}, {"ref": "slirq123/yo-mama", "kernel_id": "23697884"}, {"ref": "dootdootdootdoot/yomama2", "kernel_id": "23716031"}, {"ref": "aghosh14/yomama3", "kernel_id": "23716292"}, {"ref": "drbeane/g2net-example", "kernel_id": "24934225"}, {"ref": "kirfedo/graw-analysis-custom", "kernel_id": "24007031"}, {"ref": "deanamarek/20-9melspecmodel", "kernel_id": "24993447"}, {"ref": "drbeane/conv1d-attempt", "kernel_id": "25840469"}, {"ref": "deanamarek/pbcqt6965", "kernel_id": "25889203"}, {"ref": "deanamarek/pbcqt69129", "kernel_id": "25763343"}, {"ref": "deanamarek/cqt6965", "kernel_id": "25165836"}, {"ref": "henrychibueze/gravitational-wave-analysis-and-detection", "kernel_id": "26702187"}, {"ref": "datakite/g2net-gravitational-wave-detection", "kernel_id": "27653474"}, {"ref": "sharonmj/efnet-stacked", "kernel_id": "27828377"}, {"ref": "esaihuamanmeza/cwt-en-pytorch", "kernel_id": "28055635"}, {"ref": "anubhavde/gravitational-detection", "kernel_id": "29071792"}, {"ref": "esaihuamanmeza/eda-gravitational-wave-g2net", "kernel_id": "30400633"}, {"ref": "ikarosalpha/gwdver2-0", "kernel_id": "31281149"}, {"ref": "pskowadkar/data-mining-project", "kernel_id": "32262692"}, {"ref": "pseudotensor/hdf5-to-sft", "kernel_id": "33881887"}, {"ref": "feideshu/ahol-notebook-nofeatures", "kernel_id": "33240592"}, {"ref": "senapatirajesh/preprocessed-tfrecords", "kernel_id": "33918877"}, {"ref": "pkkgle/project-1", "kernel_id": "33472997"}, {"ref": "shrinidhi05/fork-of-g2net-eda-preprocessing-model-32318d", "kernel_id": "35331224"}, {"ref": "caterinatrimarelli/gwpy-tutorial", "kernel_id": "36243896"}, {"ref": "haloen/fossasia-ai-in-physics", "kernel_id": "36444561"}, {"ref": "nancyallaria/final", "kernel_id": "37222040"}, {"ref": "ayrgthonsoraca/g2net-gwd-tf-cnn", "kernel_id": "38621127"}, {"ref": "ayrgthonsoraca/gwd-convolutional-efficientnetb7", "kernel_id": "39095975"}, {"ref": "kuntalpal/g2net-pycaret", "kernel_id": "44707258"}, {"ref": "stefanosolazzo/gw-final", "kernel_id": "105260433"}, {"ref": "coderiderai/g2net-physics-based-lb-0-639", "kernel_id": "107770631"}]}
{"competition_id": "23250", "kernels": [{"ref": "grantglass/grants", "kernel_id": "12406181"}]}
{"competition_id": "23256", "kernels": []}
{"competition_id": "23263", "kernels": []}
{"competition_id": "23278", "kernels": [{"ref": "shreyasirc/notebookce876b30d5", "kernel_id": "12491954"}]}
{"competition_id": "23285", "kernels": [{"ref": "sshikamaru/cardio-comp", "kernel_id": "12422599"}]}
{"competition_id": "23287", "kernels": []}
{"competition_id": "23290", "kernels": [{"ref": "ivanivanovzaniat/rnd-42-challenge-v4", "kernel_id": "12873338"}, {"ref": "nozarchos/hyperopt-xgboost-for-nan-filling-and-modeling", "kernel_id": "12566429"}]}
{"competition_id": "23291", "kernels": [{"ref": "morokei/snydercut1", "kernel_id": "12642548"}, {"ref": "grigoryemdin/notebookd260adaaea", "kernel_id": "12470071"}]}
{"competition_id": "23292", "kernels": []}
{"competition_id": "23294", "kernels": []}
{"competition_id": "23299", "kernels": [{"ref": "joocheol/notebookc0fb804675", "kernel_id": "12314582"}, {"ref": "minhyejin/notebook6860baafe1", "kernel_id": "12316441"}]}
{"competition_id": "23301", "kernels": [{"ref": "srarief/day-1-machine-learning-arief", "kernel_id": "12314656"}, {"ref": "ouwyukha/day-7-boosting-tutorial", "kernel_id": "12430161"}, {"ref": "ouwyukha/day-7-challenge-digit-recognizer", "kernel_id": "12430234"}, {"ref": "ouwyukha/day-1-machine-learning-yukha-dharmeswara", "kernel_id": "12316111"}, {"ref": "ouwyukha/day-1-machine-learning-yukha", "kernel_id": "12298849"}, {"ref": "ouwyukha/day-1-additional-material-chi-squared-test", "kernel_id": "12298743"}, {"ref": "ouwyukha/exploratory-data-analysis-tutorial", "kernel_id": "12298831"}, {"ref": "rudiwowot/day-1-machine-learning-rudi-s", "kernel_id": "12315297"}, {"ref": "imamrizaldi28/day-7-challenge-digit-recognizer-imamrizaldi", "kernel_id": "12451030"}, {"ref": "imamrizaldi28/day-1-machine-learning-imamrizaldi", "kernel_id": "12315145"}, {"ref": "risdaafriyani/day-1-machine-learning-risda", "kernel_id": "12315209"}, {"ref": "agandiharyowidagdo/day-1-machine-learning-agandi-haryo-w", "kernel_id": "12315301"}, {"ref": "irsyadkh/day-1-machine-learning-irsyad-kharisma", "kernel_id": "12315098"}, {"ref": "irsyadkh/exploratory-data-analysis-tutorial", "kernel_id": "12314775"}, {"ref": "ferdinorfadhillah/day-1-machine-learning-ferdino-rf", "kernel_id": "12311147"}, {"ref": "alyadhiya/day-1-machine-learning-alya-dhiya", "kernel_id": "12315192"}, {"ref": "rahmawans/day-7-challenge-digit-recognizer-hooboy", "kernel_id": "12450473"}, {"ref": "rahmawans/day-1-machine-learning-rahmawan-setyadi", "kernel_id": "12315253"}, {"ref": "hdfadiyutama/day-1-machine-learning-huda-fadiyutama", "kernel_id": "12315309"}, {"ref": "mfarelb/day-1-machine-learning-m-farel-bagaskara", "kernel_id": "12315487"}, {"ref": "alfittaufikoh/day-1-machine-learning-alfit-t", "kernel_id": "12315295"}, {"ref": "agathamelindayunawan/day-1-machine-learning-agatha-melinda-yunawan", "kernel_id": "12315974"}, {"ref": "divakartika/exploratory-data-analysis-tutorial", "kernel_id": "12315310"}, {"ref": "divakartika/day-1-machine-learning-diva", "kernel_id": "12317069"}, {"ref": "muhammadrifqir/exploratory-data-analysis-tutorial", "kernel_id": "12315498"}, {"ref": "muhammadrifqir/day-1-machine-muhammad-rifqi-r", "kernel_id": "12315363"}]}
{"competition_id": "23304", "kernels": [{"ref": "imoore/large-stock-market-visualizations", "kernel_id": "11384467"}, {"ref": "ricardoaraujo/jane-street-basic-template", "kernel_id": "13674356"}, {"ref": "gkoundry/the-most-important-model-parameter", "kernel_id": "13465813"}, {"ref": "doosrijanam/market-pred-feature-comparison-date-analysis", "kernel_id": "13073487"}, {"ref": "afterglow/afterglow-test4-public", "kernel_id": "13437455"}, {"ref": "afterglow/afterglow-test2", "kernel_id": "13414193"}, {"ref": "afterglow/afterglow-test3", "kernel_id": "13414252"}, {"ref": "npan1990/newbie-simple-eda", "kernel_id": "13564308"}, {"ref": "karthiv/jane-street-market-prediction-eda", "kernel_id": "13259147"}, {"ref": "maximumbeings/jane-street-testing", "kernel_id": "13138624"}, {"ref": "wilddave/xgb-starter", "kernel_id": "13388910"}, {"ref": "skylord/shap-explain-the-model-xgb-lgbm", "kernel_id": "13220207"}, {"ref": "oneday/mxnet-mlp", "kernel_id": "13720229"}, {"ref": "grafael/fast-predictions-tflite-1h-3x-faster", "kernel_id": "13759417"}, {"ref": "jsmithperera/lightgbm-cv", "kernel_id": "13585051"}, {"ref": "jsmithperera/cudf-xgb-tssplit", "kernel_id": "13392689"}, {"ref": "jsmithperera/nn-starter", "kernel_id": "13392959"}, {"ref": "jasoneaten/baseline-linreg", "kernel_id": "13187115"}, {"ref": "fbykov/rule-3443", "kernel_id": "13283464"}, {"ref": "tomwarrens/nan-values-depending-on-time-of-day", "kernel_id": "13357181"}, {"ref": "tomwarrens/jane-street-pure-eda", "kernel_id": "13225395"}, {"ref": "tomwarrens/stacking-xgboost-lgbm-on-gpu-optuna", "kernel_id": "13594210"}, {"ref": "tomwarrens/gpu-tabnet-model-starter", "kernel_id": "13401610"}, {"ref": "tomwarrens/purgedgrouptimeseriessplit-stacking-ensemble-mode", "kernel_id": "13660931"}, {"ref": "delowar/market-prediction-gradual-changes", "kernel_id": "13191851"}, {"ref": "jtrotman/jane-street-gradient-boosted-c", "kernel_id": "13286407"}, {"ref": "mageswaran/jane-street-eda-of-day-0-and-feature-importance", "kernel_id": "13282857"}, {"ref": "skybox/simple-eda-r", "kernel_id": "13099998"}, {"ref": "praveengovi/jane-st-pred-hyp-param-tuning-ensemble-model", "kernel_id": "13091272"}, {"ref": "praveengovi/jane-street-model-interpretability-shap", "kernel_id": "13117210"}, {"ref": "praveengovi/jane-street-buy-sell-complete-eda", "kernel_id": "13133394"}, {"ref": "aimind/bottleneck-encoder-mlp-keras-tuner-8601c5", "kernel_id": "13720461"}, {"ref": "wrinkledtime/graph-and-plot-feature-correlations-v2", "kernel_id": "13576384"}, {"ref": "apatnaik22/janestreetfirstpass", "kernel_id": "13905597"}, {"ref": "pheman/notebookde-lightgbm-pca-pipeline", "kernel_id": "13872767"}, {"ref": "karthickp6/exploratory-data-analysis-of-features-and-tags", "kernel_id": "13077538"}, {"ref": "legendx/jane-street", "kernel_id": "13616542"}, {"ref": "code1110/janestreet-eda-with-sweetviz", "kernel_id": "13273174"}, {"ref": "code1110/janestreet-catboost-has-time", "kernel_id": "13282805"}, {"ref": "code1110/janestreet-lgb-with-optuna-and-treelite", "kernel_id": "13262745"}, {"ref": "code1110/janestreet-save-as-feather", "kernel_id": "13079549"}, {"ref": "code1110/janestreet-integration-test-classifier", "kernel_id": "13073219"}, {"ref": "elaborandum/analyzing-t-on-jane-street", "kernel_id": "13262650"}, {"ref": "lgmoneda/jane-simple-lightgbm-submission-sanity-check", "kernel_id": "13992515"}, {"ref": "rsesha/featurewiz-on-jane-street", "kernel_id": "13323921"}, {"ref": "robikscube/jane-street-market-prediction-plotting-features", "kernel_id": "13061975"}, {"ref": "sirishapb/nn-model-tuning-with-keras-tuner", "kernel_id": "13415285"}, {"ref": "zjplab/beginner-tutorial-deal-with-unknown", "kernel_id": "13800714"}, {"ref": "nanomathias/seriesnet-model-prediction-wip", "kernel_id": "13061833"}, {"ref": "nanomathias/xgboost-risk-based-weighted-predictions", "kernel_id": "13148833"}, {"ref": "nanomathias/feature-0-beyond-feature-0", "kernel_id": "13212432"}, {"ref": "sarvesh278/xgboost-trading-classifier", "kernel_id": "13827562"}, {"ref": "rpygamer/xgb-classifier-validation-utility-scoring-func", "kernel_id": "13150310"}, {"ref": "rpygamer/market-prediction-lightgbm-starter", "kernel_id": "13215841"}, {"ref": "artgor/jane-street-eda-and-simple-model", "kernel_id": "13062119"}, {"ref": "isaienkov/jane-street-market-prediction-fast-understanding", "kernel_id": "13064132"}, {"ref": "isaienkov/jane-street-market-prediction-keras-nn", "kernel_id": "13272282"}, {"ref": "isaienkov/jane-street-market-prediction-xgb-kfold-rfe", "kernel_id": "13292406"}, {"ref": "zwdnet/janestreet", "kernel_id": "13666508"}, {"ref": "zwdnet/jane-street", "kernel_id": "13593472"}, {"ref": "sinchanbhattacharya/exploring-jane-street", "kernel_id": "13068349"}, {"ref": "fernandocanteruccio/jane-street-reinforce-agent-exploration", "kernel_id": "13068089"}, {"ref": "lpachuong/fork-of-fork-of-notebookd9779f8f26-f9b834", "kernel_id": "13808890"}, {"ref": "lpachuong/fork-of-notebookd9779f8f26", "kernel_id": "13792691"}, {"ref": "maltonji/jane-street-feature-tags-trippy", "kernel_id": "13393247"}, {"ref": "haozhuai/expanding-window-sharp-weighted-return", "kernel_id": "13121983"}, {"ref": "hkailee/eda-lung-shape-umap-clusters-comparison", "kernel_id": "13176605"}, {"ref": "mlconsult/feature-visualization", "kernel_id": "13267921"}, {"ref": "garros/jane-street-market-prediction-eda-starter", "kernel_id": "13911400"}, {"ref": "markmipt/jane-street-how-to-deal-with-timeout-error", "kernel_id": "13133233"}, {"ref": "renataghisloti/understanding-the-utility-score-function", "kernel_id": "13162174"}, {"ref": "renataghisloti/find-and-drop-highly-correlated-features", "kernel_id": "13346409"}, {"ref": "patrickwu/js-v1", "kernel_id": "13112473"}, {"ref": "jeeperscreepers/jane-street-eda", "kernel_id": "13790800"}, {"ref": "benjibb/fastai-starter", "kernel_id": "13419737"}, {"ref": "benjibb/pretrained-fastai-starter", "kernel_id": "13498328"}, {"ref": "denzilsaldanha/eda-for-jane-street", "kernel_id": "13126109"}, {"ref": "vishnu96/jane-street-random-forest-pca-hyperopt", "kernel_id": "13259248"}, {"ref": "shahules/jane-eda-feature-selection", "kernel_id": "13069892"}, {"ref": "shahules/stocks-rapids-nn-starter", "kernel_id": "13079158"}, {"ref": "qinhui1999/stocks-rapids-nn-starter-v2", "kernel_id": "13278737"}, {"ref": "jacksmengel/lightgbm-pca-optuna-starter", "kernel_id": "13820450"}, {"ref": "chandraroy/janestreet-eda", "kernel_id": "13373353"}, {"ref": "chandraroy/eda-on-jane-street-data", "kernel_id": "13277684"}, {"ref": "craigmoir/jane-street-starter", "kernel_id": "13928222"}, {"ref": "miklgr500/optuna-xgbclassifier-parameters-optimize", "kernel_id": "13193288"}, {"ref": "miklgr500/rapids-umap-representation", "kernel_id": "13178978"}, {"ref": "iwasnothing/time-series-analysis", "kernel_id": "13169447"}, {"ref": "iwasnothing/feature-heat-map", "kernel_id": "13189356"}, {"ref": "iwasnothing/turi-create", "kernel_id": "13145842"}, {"ref": "iwasnothing/pca-on-janestreet", "kernel_id": "13127960"}, {"ref": "hwangpy/jane-street-market", "kernel_id": "13811758"}, {"ref": "maheswarareddyp/mahesh-jane-street-market-prediction", "kernel_id": "13107687"}, {"ref": "tkmachlearn/modelling-using-xgboost-classifier-with-gpu", "kernel_id": "13081048"}, {"ref": "askolkova/data-prep-eda-baseline-xgb-and-lgbm", "kernel_id": "13853547"}, {"ref": "maxwienandts/eda-with-some-market-insights", "kernel_id": "13801993"}, {"ref": "metathesis/deep-rl-ppo2-with-gpu-baseline", "kernel_id": "13984704"}, {"ref": "mintman1/starter-notebook-data-loading-cleaning-analysis", "kernel_id": "13066628"}, {"ref": "guilhermeagsouza/eda-tidymodels-approach-with-xgboost", "kernel_id": "13070504"}, {"ref": "parmarsuraj99/navigating-through-the-street", "kernel_id": "13263862"}, {"ref": "rapela/jane-street-sweet-visualization", "kernel_id": "13472986"}, {"ref": "rapela/jane-street-autoviz", "kernel_id": "13472007"}, {"ref": "snippsy/buy-or-sell-regression", "kernel_id": "13721785"}, {"ref": "snippsy/features-importance-of-rolling-windows", "kernel_id": "13621311"}, {"ref": "snippsy/feature-importance-over-time-for-outlier-detection", "kernel_id": "13398388"}, {"ref": "snippsy/bottleneck-encoder-mlp-keras-tuner", "kernel_id": "13366476"}, {"ref": "abhay0711/prediction-of-somekind", "kernel_id": "13459537"}, {"ref": "sishihara/eda-of-jane-street-market-prediction", "kernel_id": "13061829"}, {"ref": "ktmc139820/jane-street-market-eda-viz-prediction", "kernel_id": "13175148"}, {"ref": "hamditarek/market-prediction-xgboost-with-gpu-fit-in-1min", "kernel_id": "13067995"}, {"ref": "hamditarek/market-prediction-catboost-classifier", "kernel_id": "13248670"}, {"ref": "jmaslek/logistic-regression-classification-pipeline", "kernel_id": "13064088"}, {"ref": "marketneutral/purged-time-series-cv-xgboost-optuna", "kernel_id": "13454583"}, {"ref": "marketneutral/target-engineering-cv-fast-ai-multi-target", "kernel_id": "13408374"}, {"ref": "marketneutral/jane-street-eda-regime-tags-clusters", "kernel_id": "13243884"}, {"ref": "evgkol/attemptpzad", "kernel_id": "13611940"}, {"ref": "abiolatti/basic-feature-engineering", "kernel_id": "13449833"}, {"ref": "abiolatti/jane-street-market-baseline-logistic-regression", "kernel_id": "13674393"}, {"ref": "abiolatti/jane-street-market-lgb", "kernel_id": "13686923"}, {"ref": "adrianromano/jane-street-market-prediction-starter-eda", "kernel_id": "13070719"}, {"ref": "njelicic/tabnet-starter", "kernel_id": "13083424"}, {"ref": "njelicic/linear-model", "kernel_id": "13129245"}, {"ref": "heylav/time-series-split-with-gap-using-just-sklearn", "kernel_id": "13905151"}, {"ref": "anlgrbz/approx-utility-score-for-regress-weighted-traing", "kernel_id": "13784846"}, {"ref": "pirsqrd/jsm-eda", "kernel_id": "13762340"}, {"ref": "pirsqrd/xgboost-prediction", "kernel_id": "13950083"}, {"ref": "jonykarki/neural-network-pytorch-lightning", "kernel_id": "13786709"}, {"ref": "jonykarki/feature-importance-using-random-forests", "kernel_id": "13892583"}, {"ref": "arunamenon/stock-market-prediction-quick-overview-shap-plot", "kernel_id": "13171131"}, {"ref": "yifor01/tabnet-starter", "kernel_id": "13870282"}, {"ref": "unrool/starter-notebook-with-mem-reducing", "kernel_id": "13063336"}, {"ref": "kelink/jane-street-baseline1", "kernel_id": "13098546"}, {"ref": "akashsuper2000/the-most-important-model-parameter", "kernel_id": "13588522"}, {"ref": "samir95/jane-street-baseline", "kernel_id": "13385948"}, {"ref": "samir95/features-nan-clusters-and-pca", "kernel_id": "13874635"}, {"ref": "jlfdatascience/automl-approach-model-selection", "kernel_id": "13531625"}, {"ref": "cayala/jsmp-pytorch-lightning-inference", "kernel_id": "13116023"}, {"ref": "hasan7/jane-streed-eda-with-details-feature-descriptions", "kernel_id": "13456550"}, {"ref": "ginkobalboa/janestreet-api-probe", "kernel_id": "13414146"}, {"ref": "shinomoriaoshi/janestreet-catboost-baseline", "kernel_id": "13076803"}, {"ref": "rodrigoobastos/objective-function-analisys", "kernel_id": "13737842"}, {"ref": "jorijnsmit/found-the-holy-grail-grouptimeseriessplit", "kernel_id": "13285089"}, {"ref": "jorijnsmit/dtrain-parquet", "kernel_id": "13367360"}, {"ref": "jorijnsmit/one-liner-to-halve-your-memory-usage", "kernel_id": "13129180"}, {"ref": "jorijnsmit/benchmarking-the-public-leaderboard", "kernel_id": "13728166"}, {"ref": "jorijnsmit/a-b-testing-xgbooster-s-sample-weight-parameter", "kernel_id": "13676664"}, {"ref": "jorijnsmit/demonstration-of-loading-speeds", "kernel_id": "13455233"}, {"ref": "jorijnsmit/bug-nxgtr", "kernel_id": "13513840"}, {"ref": "jorijnsmit/principal-component-analysis-pca", "kernel_id": "13543527"}, {"ref": "jorijnsmit/validating-cross-validators", "kernel_id": "13532918"}, {"ref": "jorijnsmit/hypertuning-purgedgrouptimeseriessplit-with-optuna", "kernel_id": "13929102"}, {"ref": "michelrmeyer/tarefa-final-janestreet-market-script", "kernel_id": "13710977"}, {"ref": "pcarta/jane-street-time-horizons-and-volatilities", "kernel_id": "13274810"}, {"ref": "xhlulu/jane-street-loading-time-comparison", "kernel_id": "13089745"}, {"ref": "xhlulu/jane-street-cudf-xgboost-with-gpu", "kernel_id": "13071730"}, {"ref": "xhlulu/jane-street-animated-and-interactive-eda", "kernel_id": "13068384"}, {"ref": "xhlulu/jane-street-submission-bottleneck", "kernel_id": "13094813"}, {"ref": "iicyan/japanese-jane-street-market-prediction", "kernel_id": "13787438"}, {"ref": "iicyan/japanese-jsmp-hotest-notebooks-overview", "kernel_id": "13805079"}, {"ref": "jazivxt/the-market-is-reactive", "kernel_id": "13068926"}, {"ref": "yw6916/janestreet-xgb-lgb-stacking-ensemble", "kernel_id": "13081007"}, {"ref": "yw6916/lags-metadata-inter-tag-analysis-tag0-4", "kernel_id": "13984812"}, {"ref": "batprem/market-prediction-xgboost-with-gpu-fit-in-1min", "kernel_id": "13925315"}, {"ref": "saurabhshahane/lgbm-hyperparameter-tuning-with-optuna-beginners", "kernel_id": "13749318"}, {"ref": "saurabhshahane/voting-classifier", "kernel_id": "13790530"}, {"ref": "saurabhshahane/street-in-the-forest", "kernel_id": "13425391"}, {"ref": "saurabhshahane/tabnet-beginners", "kernel_id": "13528797"}, {"ref": "saurabhshahane/simplest-and-insightful-eda-jane-street", "kernel_id": "13328160"}, {"ref": "eudmar/jane-street-eda-pca-ensemble-methods", "kernel_id": "13432352"}, {"ref": "amit2020cs/notebooke964387126", "kernel_id": "13086175"}, {"ref": "parmeetsingh12/jane-street-market-prediction-hyperopt", "kernel_id": "13397329"}, {"ref": "tigersay/pzad-jane-1st-try", "kernel_id": "13599300"}, {"ref": "haku98/js-data-analysis", "kernel_id": "13823759"}, {"ref": "tpmeli/missing-data-exploration-mean-iterative-more", "kernel_id": "13173698"}, {"ref": "apolitano20/jane-street-features-hierarchical-clustering", "kernel_id": "13512508"}, {"ref": "rudraksh25/jane-street-market-prediction-eda-v1", "kernel_id": "13099263"}, {"ref": "ahmedewida/jane-street-nn-model", "kernel_id": "13458658"}, {"ref": "ariannsz/post-pca-dnn-with-tf-and-keras", "kernel_id": "13371942"}, {"ref": "ariannsz/dirty-but-easy-pca-with-dask", "kernel_id": "13087735"}, {"ref": "gerwynng/js-adversarial-validation-time-consistency", "kernel_id": "13406957"}, {"ref": "simon1999/speedup-neural-network-submission", "kernel_id": "13991696"}, {"ref": "quillio/pickling", "kernel_id": "13484142"}, {"ref": "yushg123/what-do-missing-values-tell-us", "kernel_id": "13297844"}, {"ref": "yushg123/a-walk-down-jane-street-eda-baseline", "kernel_id": "13119588"}, {"ref": "terminate9298/jane-street-visualizations", "kernel_id": "13935321"}, {"ref": "maunish/jsmp-pytorch-bottelneck-model-inference", "kernel_id": "13806638"}, {"ref": "maunish/jsmp-super-cool-eda-lgbm-baseline", "kernel_id": "13617596"}, {"ref": "stipe145/random-forest", "kernel_id": "13557986"}, {"ref": "adarcorerlreth/jane-street-data-exploration", "kernel_id": "13548999"}, {"ref": "wendellavila/janestreet-data-preprocessing", "kernel_id": "13511375"}, {"ref": "hyper96unsupervised/eda-jane-street", "kernel_id": "13381376"}, {"ref": "pratiksharm/jane-street-pk-attempt", "kernel_id": "13303772"}, {"ref": "ignacioalorre/clustering-features-based-on-correlation-and-tags", "kernel_id": "13364171"}, {"ref": "backtracking/autoencoder-mlp-cv-multitarget-pytorch-basic", "kernel_id": "13740892"}, {"ref": "backtracking/lstm-baseline-pytorch", "kernel_id": "13811988"}, {"ref": "backtracking/pytorch-basic-for-submission", "kernel_id": "13499986"}, {"ref": "backtracking/best-visualization-for-timeseries", "kernel_id": "13894388"}, {"ref": "gogo827jz/jane-street-super-fast-utility-score-function", "kernel_id": "13340502"}, {"ref": "gogo827jz/jane-street-neural-network-starter", "kernel_id": "13272518"}, {"ref": "gogo827jz/jane-street-deep-reinforcement-learning-approach", "kernel_id": "13292051"}, {"ref": "gogo827jz/jane-street-ffill-xgboost-purgedtimeseriescv", "kernel_id": "13246776"}, {"ref": "gogo827jz/jane-street-ffill-transformer-baseline", "kernel_id": "13446886"}, {"ref": "gogo827jz/optimise-speed-of-filling-nan-function", "kernel_id": "13408771"}, {"ref": "vineeth1999/jsp-exploratory-data-analysis", "kernel_id": "13061899"}, {"ref": "mukuldsagupta/jane-street-eda-model-neural-network", "kernel_id": "13403399"}, {"ref": "harshitt21/jane-street-basic-eda-xgb-baseline", "kernel_id": "13578699"}, {"ref": "drcapa/jane-street-market-prediction-starter-xgb", "kernel_id": "13062530"}, {"ref": "wongguoxuan/eda-pca-xgboost-classifier-for-beginners", "kernel_id": "13844151"}, {"ref": "ht5brer/eda-check-the-data", "kernel_id": "13219125"}, {"ref": "ht5brer/deep-check-feature-csv", "kernel_id": "13262833"}, {"ref": "talpinho/jsm-keras-first", "kernel_id": "13595846"}, {"ref": "talpinho/logistic-regression-jane-street-market", "kernel_id": "13702667"}, {"ref": "harryliyi/js-lstm-baseline", "kernel_id": "13457548"}, {"ref": "iamsds123/jane-street-ffill-xgboost", "kernel_id": "13633645"}, {"ref": "shubham9455999082/notebookf5b52b50a5", "kernel_id": "13068767"}, {"ref": "aniraj1688/jsmp-aniket", "kernel_id": "13906085"}, {"ref": "capiru/eda-jane-street", "kernel_id": "13069332"}, {"ref": "trevenanter/pytorch-nn", "kernel_id": "13621292"}, {"ref": "caesarlupum/market-prediction-starter-data-exploration", "kernel_id": "13094747"}, {"ref": "louise2001/reading-time-x4", "kernel_id": "13455417"}, {"ref": "louise2001/imputing-missing-values", "kernel_id": "13421579"}, {"ref": "dmitryvyudin/jane-street-inference-preproc", "kernel_id": "13386078"}, {"ref": "tchaye59/jmarket-rnn-with-keras-submit", "kernel_id": "13279132"}, {"ref": "tchaye59/jmarket-rnn-with-keras", "kernel_id": "13278812"}, {"ref": "tchaye59/jane-street-market-dataset-to-feather", "kernel_id": "13143356"}, {"ref": "tchaye59/jmarket-keras-starter", "kernel_id": "13175343"}, {"ref": "tchaye59/jmarket-keras-starter-submit", "kernel_id": "13175617"}, {"ref": "lchen309/test-submission-leo", "kernel_id": "13915966"}, {"ref": "binhlc/jane-street-tensorflow-dense", "kernel_id": "13457406"}, {"ref": "binhlc/jane-street-light-gbm", "kernel_id": "13444346"}, {"ref": "jtourkis/jane-street-value-imputation", "kernel_id": "13635345"}, {"ref": "jtourkis/jane-street-xgboost-gpu-2", "kernel_id": "13766465"}, {"ref": "mouafekmk/jane-street-neural-network-starter-test", "kernel_id": "13385163"}, {"ref": "mouafekmk/trading-strategies-coding-from-scratch", "kernel_id": "13472666"}, {"ref": "mouafekmk/xgboost-risk-based-weighted-predictions-test-v0", "kernel_id": "13452204"}, {"ref": "mouafekmk/xgb-catboost-with-gpuversion-9", "kernel_id": "13535008"}, {"ref": "mouafekmk/market-prediction-catboost-from-zero-to-hero", "kernel_id": "13929802"}, {"ref": "iamleonie/utility-function-and-patterns-in-missing-values", "kernel_id": "13292866"}, {"ref": "jatta3399/starter-notebook-eda-1-min-fit-lgbm-xgboost", "kernel_id": "13062180"}, {"ref": "nayuts/jane-street-eda-focused-on-features", "kernel_id": "13078002"}, {"ref": "sbunzini/reduce-memory-usage-by-75", "kernel_id": "13134492"}, {"ref": "abdolazimrezaei/decrease-dataframe-size-75-and-speed-up-modelling", "kernel_id": "13245459"}, {"ref": "abdolazimrezaei/market-prediction-xgboost-with-gpu-fit-in-1min", "kernel_id": "13159612"}, {"ref": "ironicninja/jane-street-predictions-with-tags", "kernel_id": "13307803"}, {"ref": "naliniparimi/step-by-step-rf-model-analysis-with-explanation", "kernel_id": "13572451"}, {"ref": "sitaber/jane-street-docker-image-november-16-2020", "kernel_id": "13353324"}, {"ref": "maksymshkliarevskyi/jane-street-market-prediction-eda-pca-baseline", "kernel_id": "13065179"}, {"ref": "maksymshkliarevskyi/jane-street-market-prediction-baseline-part-2", "kernel_id": "13110536"}, {"ref": "elvinagammed/lightgbm-vs-xgb-baseline", "kernel_id": "13468967"}, {"ref": "elvinagammed/feature-engineering-xgboost-with-gpu", "kernel_id": "13367898"}, {"ref": "lucasmorin/downloading-market-data", "kernel_id": "13492380"}, {"ref": "lucasmorin/hierarchical-clustering-for-uncovering-structure", "kernel_id": "13515054"}, {"ref": "lucasmorin/running-algos-fe-for-fast-inference", "kernel_id": "13841282"}, {"ref": "carlmcbrideellis/baseline-a-random-walk-down-jane-street", "kernel_id": "13077143"}, {"ref": "carlmcbrideellis/jane-street-eda-of-day-0-and-feature-importance", "kernel_id": "13063405"}, {"ref": "carlmcbrideellis/jane-street-tabnet-3-0-0-starter-notebook", "kernel_id": "13625815"}, {"ref": "carlmcbrideellis/tabnet-and-interpretability-jane-street-example", "kernel_id": "13923399"}, {"ref": "carlmcbrideellis/jane-street-t-sne-using-rapids-cuml", "kernel_id": "13965103"}, {"ref": "hamzashabbirbhatti/eda-a-quant-s-prespective", "kernel_id": "13917562"}, {"ref": "fabiangreavu/jane-street-competition-analysis", "kernel_id": "13483093"}, {"ref": "centorit/notebook-jane-street-little-eda-and-cv", "kernel_id": "13198978"}, {"ref": "mrutyunjaybiswal/jane-street-details-explained-eda-metrics", "kernel_id": "13071854"}, {"ref": "frankmollard/random-forest-time-based-cv", "kernel_id": "13301511"}, {"ref": "frankmollard/market-prediction-feature-importance-lofo-lgbm", "kernel_id": "13212649"}, {"ref": "nxrprime/jane-street-exploratory-data-analysis", "kernel_id": "13069102"}, {"ref": "ericchoujr/simple-naive-bayes", "kernel_id": "13991690"}, {"ref": "franoisboyer/jane-street-time-series-exploration", "kernel_id": "13345355"}, {"ref": "franoisboyer/jane-street-first-random-baseline", "kernel_id": "13177055"}, {"ref": "franoisboyer/janestreet-feature-values-clustering", "kernel_id": "13801114"}, {"ref": "lazyso/janestreet-test", "kernel_id": "13807251"}, {"ref": "rainbowhyena/market-prediction-v-zh", "kernel_id": "13639228"}, {"ref": "danielginsburg613/lgbm-model", "kernel_id": "13930660"}, {"ref": "reitanaka/jsmp-submission-1", "kernel_id": "13175778"}, {"ref": "emilyusifov/janestreet-1-iter", "kernel_id": "13227281"}, {"ref": "imchentouf/jane-street-market-prediction-with-xgboost", "kernel_id": "13108354"}, {"ref": "meiyinan/understanding-utility-score-function", "kernel_id": "13440740"}, {"ref": "qizhengqi/jane-street-market-prediction-qizhengqi", "kernel_id": "13850522"}, {"ref": "allenchen99/jane-street-cudf-xgboost-with-gpu", "kernel_id": "13330255"}, {"ref": "himanshu007121/jstreet", "kernel_id": "13424496"}, {"ref": "julianguo/reading-large-datasets-in-149-ms", "kernel_id": "13342079"}, {"ref": "kiritusan/randomnesssubmit", "kernel_id": "13666857"}, {"ref": "kiritusan/randomsubmit", "kernel_id": "13665748"}, {"ref": "wenjuanwanggggg/jane-street-market-prediction-eda", "kernel_id": "13065673"}, {"ref": "jtirado/jane-street-dataset-to-pickle", "kernel_id": "13244946"}, {"ref": "aeryss/js-neural-network-rank-gauss", "kernel_id": "13793781"}, {"ref": "samkamarfua/initial-analysis-of-data", "kernel_id": "13413198"}, {"ref": "samkamarfua/samka-xgboost", "kernel_id": "13435349"}, {"ref": "flishery/simple-nn-for-testing", "kernel_id": "13955962"}, {"ref": "johnsquared/nns-final", "kernel_id": "13973553"}, {"ref": "wendelfariaslopes/eda-stats", "kernel_id": "13412537"}, {"ref": "aman2114/jsmp-catboost-1-8f92f3", "kernel_id": "13901901"}, {"ref": "onurakkse/random-forest", "kernel_id": "13489119"}, {"ref": "onurakkse/fitting-xgboost", "kernel_id": "13486482"}, {"ref": "daverattan/jane-street-tag-heatmap", "kernel_id": "13184654"}, {"ref": "blurredmachine/reading-huge-data-the-smart-way", "kernel_id": "13083225"}, {"ref": "blurredmachine/jane-street-market-eda-viz-prediction", "kernel_id": "13082194"}, {"ref": "gauravmehta13/understanding-the-market-prediction", "kernel_id": "13067459"}, {"ref": "hardtovary/n50d3-wnot0-cpu-try-except-notimeforcsv", "kernel_id": "13267708"}, {"ref": "hardtovary/seed1-6000-model-with-gpu", "kernel_id": "13631563"}, {"ref": "nakshatrasingh/jane-street-xgboost-using-dmatrix", "kernel_id": "13497599"}, {"ref": "harshit2708/linear-regression", "kernel_id": "13450428"}, {"ref": "muhammadmelsherbini/jane-street-extensive-eda-pca-starter", "kernel_id": "13282851"}, {"ref": "imoore/advanced-eda-techniques-with-python", "kernel_id": "13158250"}, {"ref": "jdragonxherrera/notebook8865b33a8c", "kernel_id": "13992501"}, {"ref": "nairasharma/notebookb1910eda02", "kernel_id": "13906556"}, {"ref": "nairasharma/jsmp1", "kernel_id": "13897336"}, {"ref": "moomalqureshi/jane-street-market-eda-viz-prediction", "kernel_id": "13178044"}, {"ref": "siddheshshelke/sigmoid-nn-optimized-model", "kernel_id": "13769659"}, {"ref": "carrmul/jane-street-neural-network-starter", "kernel_id": "13668687"}, {"ref": "pavellukianov/first-solution", "kernel_id": "13610672"}, {"ref": "yzgast/jsmp-basic-eda-starter", "kernel_id": "13240706"}, {"ref": "yzgast/jsmp-submission-kernel-keras", "kernel_id": "13263616"}, {"ref": "yzgast/jsmp-dnn-training-keras", "kernel_id": "13251097"}, {"ref": "saipavansaketh/jane-street-market-eda", "kernel_id": "13185209"}, {"ref": "itslwg/jane-street-market-prediction-eda", "kernel_id": "13065566"}, {"ref": "maithiltandel/notebook65ecd4adf7", "kernel_id": "13846062"}, {"ref": "maithiltandel/notebook22903d7e48", "kernel_id": "13805530"}, {"ref": "hechtjp/jsmpnb002", "kernel_id": "13322860"}, {"ref": "inoryq/notebook6d5a4e29a2", "kernel_id": "13972063"}, {"ref": "joeoleynik/jane-street-v2", "kernel_id": "13841673"}, {"ref": "sriharsha8/running-algos-fe-for-fast-inference", "kernel_id": "13974356"}, {"ref": "anatolymal/jsm-v05-1-encoder-catboost", "kernel_id": "13804411"}, {"ref": "vladimirperdih/jane-street-market-detailed-eda", "kernel_id": "13171117"}, {"ref": "contactashish78/js-nn-standard", "kernel_id": "13804465"}, {"ref": "mansi75/jane-street-highly-correlated-features", "kernel_id": "13488061"}, {"ref": "mansi75/jane-street-simple-steps-for-utility-score", "kernel_id": "13387589"}, {"ref": "adityaneerukonda/stock-market-eda", "kernel_id": "13063799"}, {"ref": "jakethomsen/janestreet-data", "kernel_id": "13247896"}, {"ref": "filipechavesdemacedo/jane-street-prediction", "kernel_id": "13156652"}, {"ref": "adamabidi/jane-street-pca-eda", "kernel_id": "13597006"}, {"ref": "adamabidi/jane-street-pca-nn", "kernel_id": "13747535"}, {"ref": "ammarnassanalhajali/how-to-read-large-datasets", "kernel_id": "13233555"}, {"ref": "ammarnassanalhajali/jane-street-let-s-walk-around-data", "kernel_id": "13187668"}, {"ref": "jakubsiwiec/exploration-jane-street", "kernel_id": "13815761"}, {"ref": "hwu001/pickling", "kernel_id": "13953922"}, {"ref": "arunroczz/jane-street-predictionss", "kernel_id": "13104140"}, {"ref": "arunroczz/jane-street-predictions", "kernel_id": "13103602"}, {"ref": "legnaib/copied-xgboost", "kernel_id": "13087004"}, {"ref": "amareshmaduraiveeran/jane-street-market-xgb-logisticreg-decision-tree", "kernel_id": "13236740"}, {"ref": "kenightlam/jane-street-xgboost", "kernel_id": "13893162"}, {"ref": "sghosh99/jane-street-market-prediction-analysis", "kernel_id": "13201739"}, {"ref": "charlesleahy/identifying-volatility-features", "kernel_id": "13964298"}, {"ref": "tatochen/simple-xgb", "kernel_id": "13458498"}, {"ref": "jinyijia/jin-123123", "kernel_id": "13865594"}, {"ref": "arslansher/notebook3b3e448faa", "kernel_id": "13291310"}, {"ref": "githendumukiri/xgb-hyperopt", "kernel_id": "13519203"}, {"ref": "githendumukiri/notebook-xgb-hyperopt", "kernel_id": "13537147"}, {"ref": "kengjianli/linear-model", "kernel_id": "13378948"}, {"ref": "rahulmumbai/important-and-hidden-temporal-data", "kernel_id": "13528703"}, {"ref": "compalytation/kaggle", "kernel_id": "13978317"}, {"ref": "b10756046/notebookca341c1577", "kernel_id": "13918388"}, {"ref": "matheuspontes/tensorflow-keras", "kernel_id": "13616933"}, {"ref": "timxue/time-series-plot", "kernel_id": "13747095"}, {"ref": "timxue/my-jane-street-eda", "kernel_id": "13455127"}, {"ref": "professor42/k-means-clustering-code", "kernel_id": "13633722"}, {"ref": "professor42/k-means-clustering-in-r", "kernel_id": "13614560"}, {"ref": "jordancrabbe/janestreet-public-mlp-pca-submission", "kernel_id": "13985950"}, {"ref": "albertespin/time-series-splitting-for-cv-with-just-sklearn", "kernel_id": "13981844"}, {"ref": "yuanol/retry-from-8601c5", "kernel_id": "13952813"}, {"ref": "ruhong/running-algos-fe-for-fast-inference", "kernel_id": "14704119"}, {"ref": "ruhong/own-jane-street-with-keras-nn", "kernel_id": "14465184"}, {"ref": "ruhong/maximum-utility-score-on-train-data", "kernel_id": "14200057"}, {"ref": "ruhong/purged-time-series-cv-xgboost-optuna", "kernel_id": "14159180"}, {"ref": "ruhong/found-the-holy-grail-grouptimeseriessplit", "kernel_id": "14159262"}, {"ref": "ruhong/optimise-speed-of-filling-nan-function", "kernel_id": "14133037"}, {"ref": "christoffer/rough-estimate-of-resp-i-timeframes", "kernel_id": "14264245"}, {"ref": "christoffer/synthetic-jane-street-data", "kernel_id": "14668636"}, {"ref": "sunilmistri/keras-with-feature-43", "kernel_id": "14714616"}, {"ref": "jsmithperera/nn-a-la-resnet", "kernel_id": "14379513"}, {"ref": "luonganhtuan93/blending-tensorflow-and-pytorch-code", "kernel_id": "14769199"}, {"ref": "luonganhtuan93/pytorch-embeddingsnn", "kernel_id": "14874471"}, {"ref": "luonganhtuan93/pytorch-embeddingsnn-resnet-tensorflow", "kernel_id": "14840407"}, {"ref": "forsesi/adaptive-ogd", "kernel_id": "14034939"}, {"ref": "paulfornia/10th-nn-final-ensemble", "kernel_id": "14910506"}, {"ref": "cbryant/simple-xgb-no-eda-or-tuning", "kernel_id": "14394549"}, {"ref": "aimind/janestreet-1dcnn-for-feature-extraction-train", "kernel_id": "14490430"}, {"ref": "aimind/1dcnn-search-resnet", "kernel_id": "14448479"}, {"ref": "fernandoramacciotti/janestreet-denoising-rmt", "kernel_id": "14313807"}, {"ref": "carlosilva/jane-street-neural-network", "kernel_id": "14056172"}, {"ref": "aerdem4/jane-street-lofo-importance-on-gpu", "kernel_id": "14243110"}, {"ref": "pheman/lightgb-ensemble", "kernel_id": "14402378"}, {"ref": "chixujohnny/try-to-use-nn-baseline", "kernel_id": "14416849"}, {"ref": "avalonstrel/bottleneckae-share", "kernel_id": "14124840"}, {"ref": "code1110/janestreet-simple-lgb-with-groupkfold", "kernel_id": "14510354"}, {"ref": "code1110/janestreet-avoid-overfit-feature-neutralization", "kernel_id": "14529314"}, {"ref": "code1110/janestreet-1dcnn-for-feature-extraction-train", "kernel_id": "14120050"}, {"ref": "code1110/janestreet-1dcnn-for-feature-extraction-infer", "kernel_id": "14132812"}, {"ref": "code1110/janestreet-faster-inference-by-xgb-with-treelite", "kernel_id": "14201579"}, {"ref": "code1110/janestreet-mlp-train-stage2-weight-0", "kernel_id": "14294124"}, {"ref": "code1110/janestreet-mlp-pretrain-stage1-weight-0", "kernel_id": "14285514"}, {"ref": "code1110/janestreet-mlp-inference-stage3", "kernel_id": "14286581"}, {"ref": "code1110/janestreet-nn-xgb-ensemble", "kernel_id": "14225057"}, {"ref": "code1110/janestreet-resnet-starter", "kernel_id": "14328354"}, {"ref": "code1110/janestreet-resnet-with-autoencoder-infer", "kernel_id": "14348016"}, {"ref": "code1110/janestreet-resnet-with-autoencoder-train", "kernel_id": "14347272"}, {"ref": "code1110/jane-street-with-keras-nn-overfit", "kernel_id": "14368842"}, {"ref": "lgmoneda/jane-temporal-feature-selection-with-shap", "kernel_id": "14018780"}, {"ref": "lgmoneda/jane-is-0-the-best-target-threshold", "kernel_id": "14289555"}, {"ref": "mazalgarab/trading-model-optimizer-linear-model-project", "kernel_id": "14313442"}, {"ref": "finlay/encoder-mlp", "kernel_id": "14099988"}, {"ref": "finlay/find-unique-stock-in-dataset", "kernel_id": "14356062"}, {"ref": "gregorycalvez/janest-utility", "kernel_id": "14013785"}, {"ref": "gregorycalvez/de-anonymization-time-aggregation-tags", "kernel_id": "14008295"}, {"ref": "gregorycalvez/de-anonymization-price-quantity-stocks", "kernel_id": "14037513"}, {"ref": "gregorycalvez/de-anonymization-buy-sell-net-gross", "kernel_id": "14387800"}, {"ref": "gregorycalvez/following-people", "kernel_id": "14405501"}, {"ref": "gregorycalvez/de-anonymization-min-max-and-time", "kernel_id": "14249135"}, {"ref": "jasenmackie/eda-logistic-torch-r", "kernel_id": "14166794"}, {"ref": "laurencelin/makepredictionjaneet", "kernel_id": "14153962"}, {"ref": "a763337092/pytorch-resnet-starter-inference", "kernel_id": "14463411"}, {"ref": "a763337092/pytorch-resnet-starter-training", "kernel_id": "14512261"}, {"ref": "a763337092/blending-tensorflow-and-pytorch", "kernel_id": "14549944"}, {"ref": "a763337092/searching-best-threshold", "kernel_id": "14865801"}, {"ref": "a763337092/neural-network-starter-pytorch-version", "kernel_id": "14078794"}, {"ref": "a763337092/feat-corr-eda", "kernel_id": "14379907"}, {"ref": "lhagiimn/resnet-inference", "kernel_id": "14223700"}, {"ref": "lhagiimn/lightgbm-multiclass-classification", "kernel_id": "14024648"}, {"ref": "lhagiimn/resnet-training", "kernel_id": "14489333"}, {"ref": "lhagiimn/ensemble-submission", "kernel_id": "14983321"}, {"ref": "zwdnet/quant-inverstment", "kernel_id": "14098276"}, {"ref": "dalalkrish05/lightgbm-chain-classifier", "kernel_id": "14657761"}, {"ref": "kailassrt/lightgbm-lb-score-4570-956", "kernel_id": "14340613"}, {"ref": "gdonchyts/jane-street-market-prediction-parquet-convert", "kernel_id": "14284253"}, {"ref": "andyhu/into-the-features-identify-time-and-stocks", "kernel_id": "14176382"}, {"ref": "zhaonat/multilabel-fold-ensemble", "kernel_id": "14944179"}, {"ref": "quincyqiang/step01-csv-parquet", "kernel_id": "14477586"}, {"ref": "quincyqiang/tensorflow-resnet-inference", "kernel_id": "14624226"}, {"ref": "quincyqiang/tensorflow-resnet-training", "kernel_id": "14605788"}, {"ref": "tocha4/20210204-speed-up-your-prediction", "kernel_id": "14663272"}, {"ref": "rautaki0127/submission-scoring-error-why", "kernel_id": "14138332"}, {"ref": "ottpocket/cnn-with-generator", "kernel_id": "14497521"}, {"ref": "jamesmccarthy65/jane-street-pytorch-lightning-nn-pgts", "kernel_id": "14631257"}, {"ref": "magokecol/train-and-submit", "kernel_id": "14089259"}, {"ref": "huzzefakhan/eda-quantitative-researcher-prespective", "kernel_id": "14050612"}, {"ref": "huzzefakhan/pca-xgboost-classifier", "kernel_id": "14304313"}, {"ref": "huzzefakhan/xgboost-classifier", "kernel_id": "14556578"}, {"ref": "huzzefakhan/nn-model-for-jane-street", "kernel_id": "14641419"}, {"ref": "parabolaeus/action-threshold-and-feature-communities", "kernel_id": "14049650"}, {"ref": "kamalnaithani/getting-some-feature-etraction", "kernel_id": "14759449"}, {"ref": "kamalnaithani/lightgbm-stock-prediction-1-1", "kernel_id": "14736469"}, {"ref": "marouf/embeddingsnn-resnet-tensorflow-try", "kernel_id": "14852585"}, {"ref": "marouf/lgbm-class", "kernel_id": "14871045"}, {"ref": "marouf/linear-regression", "kernel_id": "14870275"}, {"ref": "marouf/pytorch-tensorflow-mlp-give-a-try", "kernel_id": "14793356"}, {"ref": "marouf/tensorflow-last-one", "kernel_id": "14796533"}, {"ref": "marouf/tensorflow-and-pytorch", "kernel_id": "14774828"}, {"ref": "marouf/notebook8d74163ae7", "kernel_id": "14556997"}, {"ref": "marouf/jane-street-lstm", "kernel_id": "14643732"}, {"ref": "antwerp/pycaret-lazy-way-to-build-blended-model", "kernel_id": "14600984"}, {"ref": "luisdavid/lgb-start", "kernel_id": "14125024"}, {"ref": "saeedghadiri/auto-encoder-deep-model-run", "kernel_id": "14903615"}, {"ref": "furankyyy/js-competition", "kernel_id": "14529766"}, {"ref": "datascientistsohail/jane-street-market-prediction-mfc", "kernel_id": "14194416"}, {"ref": "frederickemile/jane-street-prediction-with-fastai-xgb", "kernel_id": "14329387"}, {"ref": "granja/jane-street-nn-baseline", "kernel_id": "14188131"}, {"ref": "jnegrini/bayesian-optimization-for-hyperparameter-selection", "kernel_id": "14930412"}, {"ref": "grossmend/maximum-utility-score-on-train-data", "kernel_id": "14015508"}, {"ref": "jsaguiar/yet-another-jane-st-data-analysis", "kernel_id": "14248774"}, {"ref": "snippsy/bottleneck-encoder-gradientboostingclassifier", "kernel_id": "14187576"}, {"ref": "snippsy/notebook6a34ec5fe0", "kernel_id": "14208427"}, {"ref": "snippsy/accuracy-of-keras-speed-ups", "kernel_id": "14180607"}, {"ref": "snippsy/no-gpu-time-sell-at-10-a-m-play-golf", "kernel_id": "14388156"}, {"ref": "snippsy/jane-street-tensorflow-probability-starter", "kernel_id": "14390970"}, {"ref": "snippsy/time-horizons-in-real-shorts", "kernel_id": "14625832"}, {"ref": "snippsy/utility-vs-metric-correlation", "kernel_id": "14515114"}, {"ref": "snippsy/jane-street-densenet-neutralizing-features", "kernel_id": "14541378"}, {"ref": "snippsy/jane-street-densenet", "kernel_id": "14473004"}, {"ref": "mmmmaa/yswang-tpu", "kernel_id": "14382101"}, {"ref": "chentianxing/notebookec7152784a", "kernel_id": "14391635"}, {"ref": "taimurislam/jane-street-market-prediction", "kernel_id": "14147815"}, {"ref": "harshitkhandelwal/encoder-mlp11", "kernel_id": "14372371"}, {"ref": "bmustafa/jane-street-intro-notebook", "kernel_id": "14176434"}, {"ref": "bmustafa/easy-and-simple-xgboost-good-score-forked", "kernel_id": "14439640"}, {"ref": "filipespc/behaviour-over-time", "kernel_id": "14311911"}, {"ref": "filipespc/vanilla-lightgbm-hyperparameter-tunning", "kernel_id": "14333285"}, {"ref": "vjagannath786/eda-on-utility-score-for-each-day", "kernel_id": "14983110"}, {"ref": "adithyams15/notebooke29cb459d9", "kernel_id": "14684495"}, {"ref": "arunamenon/stock-price-jane-street-forecasting", "kernel_id": "14878087"}, {"ref": "michaelito170/jane-street-afternoon-shopping-greedy", "kernel_id": "14443207"}, {"ref": "danielzhang1981/zzh-2st", "kernel_id": "14343684"}, {"ref": "talexeyft/predict-good-train-mix-mlp-v0", "kernel_id": "14730263"}, {"ref": "samir95/keras-nn-with-features-neutralization", "kernel_id": "14493148"}, {"ref": "samir95/correlation-over-different-time-periods", "kernel_id": "14258530"}, {"ref": "kwonyoung234/jane-pytorch-lstm-implementation", "kernel_id": "14303324"}, {"ref": "jlfdatascience/jane-street-extratreesclassifier-pca-pipeline", "kernel_id": "14324026"}, {"ref": "cayala/pytorch-lightning-jsmp-starter-notebook", "kernel_id": "14769651"}, {"ref": "vithal2311/simple-keras-jane-prediction", "kernel_id": "14697033"}, {"ref": "marychin/day-85-before-vs-after-a-look-at-utility-score", "kernel_id": "14830991"}, {"ref": "marychin/sliding-window-utility-scores-for-all-5-resp-s", "kernel_id": "14870627"}, {"ref": "marychin/resp-resp-1234-positive-in-concert-or-not", "kernel_id": "14872094"}, {"ref": "marychin/save-test-df-for-repeated-offline-use", "kernel_id": "14660882"}, {"ref": "bboltt/regression-method", "kernel_id": "14641217"}, {"ref": "bosbos/stock-id-feature", "kernel_id": "14441240"}, {"ref": "dongwenjian/key-notebook-blending-resnet-mlp-xgboost", "kernel_id": "14956812"}, {"ref": "jaehoon94/jane-0127", "kernel_id": "14470675"}, {"ref": "daisyrhea97/lightgbm-weight-resp", "kernel_id": "14296338"}, {"ref": "rdboyes/jane-street-r-starter-notebook", "kernel_id": "14068867"}, {"ref": "jaredsavage/features-tags-and-day-0-analysis", "kernel_id": "14404546"}, {"ref": "alexsch86/jane-street-xgboost", "kernel_id": "14990560"}, {"ref": "noemieju/data-analysis", "kernel_id": "14373092"}, {"ref": "mragpavank/jane-street-market-prediction", "kernel_id": "14643441"}, {"ref": "hyperbeam/cnn-using-keras", "kernel_id": "14366543"}, {"ref": "hyperbeam/getting-started-with-lgbm-classifiers", "kernel_id": "14260417"}, {"ref": "saurabhshahane/collection-of-eda", "kernel_id": "14225493"}, {"ref": "yangam/jane-street-knn", "kernel_id": "14256488"}, {"ref": "speeddemon/install-mlflow-offline-from-dataset", "kernel_id": "14156063"}, {"ref": "leaven71022/janestreet-simpletest", "kernel_id": "14707683"}, {"ref": "xiejiancong/jane-street-eda-of-day-0-and-feature-importance", "kernel_id": "14842251"}, {"ref": "dhyeok1996/simple-baseline-lightgbm", "kernel_id": "14560611"}, {"ref": "dhyeok1996/lightgbm-multi-label-prediction", "kernel_id": "14727747"}, {"ref": "sherrytp/jane-market-simple-eda", "kernel_id": "14173827"}, {"ref": "lys620/market-prediction-xgboost", "kernel_id": "14602631"}, {"ref": "lys620/market-prediction-keras", "kernel_id": "14753653"}, {"ref": "lucianc/jane-street-grouptssplit-cv-catboost-pred", "kernel_id": "14874154"}, {"ref": "lucianc/jane-street-hyperopt-catboost-model", "kernel_id": "14873415"}, {"ref": "lucianc/jane-street-simple-catboost-prediction", "kernel_id": "14917627"}, {"ref": "lucianc/jane-street-full-hyperopt-catboost-groupts-cv", "kernel_id": "14921073"}, {"ref": "alexcei/csc-course-mathematical-statistics", "kernel_id": "14147213"}, {"ref": "davidmagny/predictive-analytics", "kernel_id": "14215525"}, {"ref": "davidmagny/jane-street-exploratory-data-analysis", "kernel_id": "14015446"}, {"ref": "davidmagny/neuralnetwork", "kernel_id": "14633889"}, {"ref": "davidmagny/secondneuralnetwork", "kernel_id": "14916621"}, {"ref": "namm2008/ensemble-model-with-xgb-and-simple-nn", "kernel_id": "14071194"}, {"ref": "gerwynng/js-feature-covariate-shift-time-consistency", "kernel_id": "14137066"}, {"ref": "sapthrishi007/jane-lgbm-stacked-lsvc", "kernel_id": "14324667"}, {"ref": "sapthrishi007/fastai-embedding-resnet", "kernel_id": "14663885"}, {"ref": "sapthrishi007/pytorch-embeddingsnn-resnet-tensorflow", "kernel_id": "14648618"}, {"ref": "sapthrishi007/jane-fastai-featinteraction-embeddingnn5-300x3", "kernel_id": "14638479"}, {"ref": "sapthrishi007/jane-eda", "kernel_id": "14985596"}, {"ref": "prateeknigam/eda-janestreet", "kernel_id": "14780216"}, {"ref": "ashagutlapalli/time-series-analysis-jane-street-market-eda", "kernel_id": "14329804"}, {"ref": "quillio/eda-tag-network-analysis-networkx-gephi", "kernel_id": "14010922"}, {"ref": "mistag/jane-street-with-keras-nn-k-fold-less-overfit", "kernel_id": "14729220"}, {"ref": "mistag/jane-street-data-preprocessing", "kernel_id": "14755377"}, {"ref": "mistag/jane-street-gambler", "kernel_id": "14479693"}, {"ref": "tongyu996/bottleneck-encoder-mlp-keras-tuner-860-6da867", "kernel_id": "14017494"}, {"ref": "hark99/jane-street-market-prediction", "kernel_id": "14634656"}, {"ref": "glongpan/pytorch-bottleneck-mlp-solution", "kernel_id": "14124135"}, {"ref": "hkabpapa/neutralize-features-makes-feature-0-important", "kernel_id": "14721311"}, {"ref": "langsys/notebookfe1f1ab974", "kernel_id": "14458872"}, {"ref": "tarriaza/jane-street-bottleneck-tcn-for-submission", "kernel_id": "14091332"}, {"ref": "tarriaza/janestreet-tcn-w-double-stacked-autoencoder", "kernel_id": "14044581"}, {"ref": "tarriaza/jane-street-tcn-bottleneck-auto-encoder", "kernel_id": "14019372"}, {"ref": "stipe145/autocorrelation", "kernel_id": "14004016"}, {"ref": "takiyu/japanese-jane-street-market", "kernel_id": "14207994"}, {"ref": "pyoungkangkim/1dcnn-pytorch-jstreet", "kernel_id": "14629689"}, {"ref": "pyoungkangkim/mlp-batchnorm-dropout-linear-pytorch", "kernel_id": "14612146"}, {"ref": "pyoungkangkim/mlp-batchnorm-dropout-linear-pytorch-no-pre-bnorm", "kernel_id": "14612860"}, {"ref": "pyoungkangkim/densenet-batchnorm-dropout-linear-pytorch-jstreet", "kernel_id": "14613242"}, {"ref": "pyoungkangkim/resnet-batchnorm-dropout-linear-pytorch-jstreet", "kernel_id": "14613012"}, {"ref": "pyoungkangkim/autoencoder-batchnorm-dropout-mish-pytorch-model", "kernel_id": "14661501"}, {"ref": "haifanguo/xgboost", "kernel_id": "14046340"}, {"ref": "amiled19/janestreet", "kernel_id": "14603800"}, {"ref": "treename/janestreet-cv-method-combpurgedkfoldcv", "kernel_id": "14661575"}, {"ref": "khaq1234/jane-street-market-prediction", "kernel_id": "14224068"}, {"ref": "cccccao/tpot-janestreet-train", "kernel_id": "14487701"}, {"ref": "tristansimeon/braves-only-need-numpy", "kernel_id": "14424995"}, {"ref": "chenghansun/jane-street-eda", "kernel_id": "14239910"}, {"ref": "unizy22/notebookee887e2bbd", "kernel_id": "14758545"}, {"ref": "unizy22/submit-notebook", "kernel_id": "14387033"}, {"ref": "unizy22/bottleneck-encoder-mlp-keras-tuner", "kernel_id": "14162832"}, {"ref": "mingsunds/xgb-ming", "kernel_id": "14553368"}, {"ref": "knknkn12/how-to-use-adabelief-in-keras", "kernel_id": "14708112"}, {"ref": "aryankejriwal4/js-data-prep", "kernel_id": "14229855"}, {"ref": "andreshg/automatic-eda-libraries-comparisson", "kernel_id": "14537721"}, {"ref": "andreshg/xgboost-optuna-hyperparameter-tunning", "kernel_id": "14445592"}, {"ref": "janbecker000/jane-street-keras-v0", "kernel_id": "14266283"}, {"ref": "kerempr/notebook29d1012638", "kernel_id": "14611852"}, {"ref": "dmitryvyudin/jane-street-oof-utility-scores", "kernel_id": "14627143"}, {"ref": "dmitryvyudin/accuracy-of-keras-speed-ups-switch-bn-and-dense", "kernel_id": "14182567"}, {"ref": "bluedragoon/notebook54bb5e2f54", "kernel_id": "14036557"}, {"ref": "deshwalmahesh/rnn-you-ve-been-reading-it-the-wrong-way", "kernel_id": "14465441"}, {"ref": "deshwalmahesh/you-ve-been-looking-at-the-cnn-the-wrong-way", "kernel_id": "14421837"}, {"ref": "tomooinubushi/retrieving-stock-day-id", "kernel_id": "14531750"}, {"ref": "zhangyunsheng/tf-restnet", "kernel_id": "14661870"}, {"ref": "mouafekmk/simple-pytorch-tensorflow-mlp", "kernel_id": "14599927"}, {"ref": "mouafekmk/simple-mlp", "kernel_id": "14598354"}, {"ref": "mouafekmk/benchmark-loading-speed", "kernel_id": "14628160"}, {"ref": "mouafekmk/benchmark-data-loading-speed", "kernel_id": "14332464"}, {"ref": "nooblearning/nn-try", "kernel_id": "14446485"}, {"ref": "yidancai/stock-market-prediction-test", "kernel_id": "14928913"}, {"ref": "yidancai/stock-market-prediction-training", "kernel_id": "14911103"}, {"ref": "saitodevel01/fisher-lda", "kernel_id": "14647310"}, {"ref": "haeyoonjang/stacking-part-2", "kernel_id": "14752466"}, {"ref": "anki112279/market-prediction-jane", "kernel_id": "14566290"}, {"ref": "yash88/jane-street-eda-of-day-0-and-feature-importance", "kernel_id": "14347151"}, {"ref": "yash88/bottleneck-encoder-mlp-keras-yash88", "kernel_id": "14343546"}, {"ref": "henggaocai/jane-street-market-predictions", "kernel_id": "14230480"}, {"ref": "lucasmorin/target-engineering-patterns-denoising", "kernel_id": "14631261"}, {"ref": "lucasmorin/complete-intraday-feature-exploration", "kernel_id": "14376872"}, {"ref": "taherhaggui/lgbm-multilabel", "kernel_id": "14525329"}, {"ref": "taherhaggui/eda-missing-values-tsne-clustering-class-imb", "kernel_id": "14172427"}, {"ref": "vincentwang25/janestreet-groupkfold-or-purgedgroupcv", "kernel_id": "14353992"}, {"ref": "carlmcbrideellis/jane-street-what-do-you-do-when-you-have-no-gpu", "kernel_id": "14102531"}, {"ref": "carlmcbrideellis/jane-street-afternoon-shopping", "kernel_id": "14395613"}, {"ref": "carlmcbrideellis/gpu-accelerated-shap-values-jane-street-example", "kernel_id": "14283689"}, {"ref": "ryotanaka/feature-clustering-based-on-tags", "kernel_id": "14156005"}, {"ref": "teppeiyamaguchi/finding-feature-groups", "kernel_id": "14219500"}, {"ref": "mingweisun/simple-deepfm-training", "kernel_id": "14467721"}, {"ref": "walkiriarvieira/first-tradding-robot", "kernel_id": "14088531"}, {"ref": "somnath796/mlp-for-jane-street", "kernel_id": "14429269"}, {"ref": "bryanthogerson/robust-type-combo-2", "kernel_id": "14862951"}, {"ref": "olivierfoudras/jane-street-lasso", "kernel_id": "14755170"}, {"ref": "andreasthomasen/preprocessing-and-feature-selection", "kernel_id": "14153255"}, {"ref": "andreasthomasen/pretrained-pytorch-nn-w-o-feature-reduction", "kernel_id": "14573931"}, {"ref": "andreasthomasen/pytorch-dense-model-feature-engineering", "kernel_id": "14618934"}, {"ref": "andreasthomasen/pretrained-pytorch-nn", "kernel_id": "14531546"}, {"ref": "andreasthomasen/pytorch-nn-model", "kernel_id": "14490796"}, {"ref": "ejunichi/jane-street-with-keras-nn-overfit", "kernel_id": "14817928"}, {"ref": "sagarjiyani/blending-tensorflow-pytorch-th-0-4914", "kernel_id": "14614835"}, {"ref": "vivekanandverma/hypertuned-lightgbm-classifier", "kernel_id": "14104850"}, {"ref": "vivekanandverma/eda-xgboost-hyperparameter-tuning", "kernel_id": "14118954"}, {"ref": "sophiazamoreeva/catboost-models-mp", "kernel_id": "14796744"}, {"ref": "sophiazamoreeva/nn-models-mp", "kernel_id": "14791352"}, {"ref": "sophiazamoreeva/eda-mp", "kernel_id": "14800589"}, {"ref": "sophiazamoreeva/blend-cat-and-nn-models", "kernel_id": "14836897"}, {"ref": "naiqiu/jane-market-pytorch-training", "kernel_id": "14576862"}, {"ref": "negativegamma/rand-jane-street", "kernel_id": "14413088"}, {"ref": "chaimaabouchbih/bouchbih-elfakir-algos", "kernel_id": "14227734"}, {"ref": "tarit21/own-jane-street-with-keras-nn", "kernel_id": "14496202"}, {"ref": "kutaykutlu/callbacks-mnist-digit-recognition", "kernel_id": "14205231"}, {"ref": "yukezhangrain/notebook259e0fa93c", "kernel_id": "14562579"}, {"ref": "skydevour/pytorch-embeddingsnn-resnet", "kernel_id": "14926522"}, {"ref": "skydevour/jane-street-market-eda-and-prediction", "kernel_id": "14463969"}, {"ref": "momijiro/jpnrookie-js-eda-of-day-0-and-feature-importance", "kernel_id": "14222910"}, {"ref": "duythanhng/fork-of-jane-street-keras-adas-optimizer", "kernel_id": "14591019"}, {"ref": "leejingwan/own-jane-street-with-keras-nn-ensemble-date85", "kernel_id": "14516375"}, {"ref": "alincijov/jane-street-dueling-double-deep-q-learning", "kernel_id": "14199725"}, {"ref": "ahmedelhaddad/fastai-submission-custom-ds", "kernel_id": "14266940"}, {"ref": "serefgunes/jane-street", "kernel_id": "14450949"}, {"ref": "serefgunes/keras-nn-1st-try", "kernel_id": "14577480"}, {"ref": "serefgunes/xgboost", "kernel_id": "14607376"}, {"ref": "wendelfariaslopes/simple-pytorch-tensorflow-mlp", "kernel_id": "14832020"}, {"ref": "wendelfariaslopes/nn-branch-model", "kernel_id": "14866948"}, {"ref": "wendelfariaslopes/easy-and-simple-xgboost-good-score", "kernel_id": "14254764"}, {"ref": "wendelfariaslopes/pca-features-importance", "kernel_id": "14114624"}, {"ref": "wendelfariaslopes/multi-model-xgb", "kernel_id": "14171376"}, {"ref": "aman2114/own-jane-street-with-keras-nn", "kernel_id": "14468444"}, {"ref": "homiarafarhana/prediction-with-nn", "kernel_id": "14522300"}, {"ref": "leetolo/jane-street-market-prediction-eda", "kernel_id": "14174778"}, {"ref": "jamespett/new-try", "kernel_id": "14985362"}, {"ref": "egorplyashkov/catboostclassifier-hyper-parameters-optimization", "kernel_id": "14051950"}, {"ref": "vclavmatjka/autoencoder-mlp-changing-cost-function", "kernel_id": "14632462"}, {"ref": "saatuo/jane-street-with-keras-nn-overfit-add-val", "kernel_id": "14554369"}, {"ref": "munumbutt/w-i-d-e-b-o-i-neural-network-for-the-memes", "kernel_id": "14445571"}, {"ref": "jwilliamhughdore/why-you-want-weighted-training-for-jane-st-update", "kernel_id": "14249328"}, {"ref": "japandata509/jane-street-public-leaderboard-visualization", "kernel_id": "14340296"}, {"ref": "japandata509/how-to-analyze-leaderboard-easily", "kernel_id": "14437027"}, {"ref": "andy0207huang/ad-astra-jane-street", "kernel_id": "14585231"}, {"ref": "jdragonxherrera/pytorch-resnet-starter-training", "kernel_id": "14865546"}, {"ref": "jdragonxherrera/pytorch-resnet-starter-inference", "kernel_id": "14871022"}, {"ref": "jdragonxherrera/simple-pytorch-tensorflow-mlp", "kernel_id": "14790445"}, {"ref": "jdragonxherrera/janestreet-submit", "kernel_id": "14151912"}, {"ref": "siddheshshelke/denoised-mlp", "kernel_id": "14229007"}, {"ref": "siddheshshelke/mlp-nn-utility-1-0", "kernel_id": "14531916"}, {"ref": "siddheshshelke/lstm-rnn-classifier", "kernel_id": "14778891"}, {"ref": "siddheshshelke/mlp-nn-utility", "kernel_id": "14695912"}, {"ref": "siddheshshelke/tensorflow-mlp", "kernel_id": "14706730"}, {"ref": "siddheshshelke/blending-tensorflow-pytorch", "kernel_id": "14950990"}, {"ref": "devsim/notebooka64bb99946", "kernel_id": "14313132"}, {"ref": "devsim/nvp-to-mlp-impute-sgdmultidraw-fixrespaction", "kernel_id": "14484371"}, {"ref": "devsim/nvp-impute", "kernel_id": "14454746"}, {"ref": "yudaioshino/how-to-deal-with-notebook-timeout-error", "kernel_id": "14450518"}, {"ref": "jaycuti/jane-street-simple-nn-mlp-w-purgedgroupts-cv", "kernel_id": "14798640"}, {"ref": "enunenun/convnet-stomps-through-jane-street", "kernel_id": "14762959"}, {"ref": "virajkadam/jane-street-market-prediction", "kernel_id": "14289828"}, {"ref": "onurserbetci/jane-street-market-prediction", "kernel_id": "14307785"}, {"ref": "kunalv99/jane-street-market-prediction", "kernel_id": "14713563"}, {"ref": "sriharsha8/jane-street-eda-of-day-0-and-feature-importance", "kernel_id": "14002589"}, {"ref": "marionhesse/keras-nn-for-jane-street-competition", "kernel_id": "14600126"}, {"ref": "marionhesse/xgboost-for-jane-street-market-prediction", "kernel_id": "14501545"}, {"ref": "rajkumarl/tf-residual-network-on-select-features-training", "kernel_id": "14665466"}, {"ref": "rajkumarl/jane-day-242-feature-generation-and-selection", "kernel_id": "14704815"}, {"ref": "rajkumarl/jane-tf-keras-lstm", "kernel_id": "14422568"}, {"ref": "rajkumarl/tf-residual-network-on-select-features-inference", "kernel_id": "14999997"}, {"ref": "poojansheth/js-cnn", "kernel_id": "14274758"}, {"ref": "poojansheth/fork-of-js-cnn-3936ac", "kernel_id": "14435175"}, {"ref": "xingmingzeng/jane-pytorch-optuna-encoded-mlp-xgboost-blending", "kernel_id": "14364385"}, {"ref": "jakethomsen/janestreet-feature-study", "kernel_id": "14193940"}, {"ref": "nicholashojx/jane-street-keras-notebook-lstm", "kernel_id": "14461992"}, {"ref": "nicholashojx/jane-street-keras-notebook-mlp", "kernel_id": "14952437"}, {"ref": "oym8012/jane-street-tabnet-model", "kernel_id": "14441485"}, {"ref": "iamyajat/beginner-jane-street-market", "kernel_id": "14618238"}, {"ref": "bhanwarsaini/market-prediction", "kernel_id": "14188581"}, {"ref": "deepthireddy03/jane-street-market-prediction-analysis", "kernel_id": "14032346"}, {"ref": "poornimakusuma/jane-street-market-prediction-ml-project", "kernel_id": "14032197"}, {"ref": "ahmadasadi00/cluster-analysis", "kernel_id": "14298013"}, {"ref": "oldwine357/janestreet-xgb-rank-80-73-362-314-317", "kernel_id": "14877553"}, {"ref": "oldwine357/removing-highly-correlated-features", "kernel_id": "14136734"}, {"ref": "hwu001/keras-replication-of-famous-pytorch-resnet-model", "kernel_id": "14993332"}, {"ref": "hwu001/simple-mlp-b40ba9", "kernel_id": "14627923"}, {"ref": "yshiml/simple-lgbm-baseline-with-optuna-beginners", "kernel_id": "14379694"}, {"ref": "raposoneto/another-way-to-look-at-the-target", "kernel_id": "14332719"}, {"ref": "qingaoiteal/jane-street-final", "kernel_id": "14360195"}, {"ref": "tarlannazarov/own-jane-street-with-keras-nn", "kernel_id": "14164896"}, {"ref": "hiteshkumars/own-jane-street-with-keras-nn", "kernel_id": "14509998"}, {"ref": "xiaoyuliu123123/xgboost-mlp-for-beginners", "kernel_id": "14763982"}, {"ref": "xatz3npki/feature-64-proof", "kernel_id": "14379132"}, {"ref": "bigtobe/notebook6a34ec5fe0", "kernel_id": "14205611"}, {"ref": "chienhsianghung/jane-street-simple-nn-mlp-w-purgedgroupts-cv", "kernel_id": "14263882"}, {"ref": "chienhsianghung/object-detection-using-opencv-inference", "kernel_id": "14279601"}, {"ref": "petrbaro/machine-learning", "kernel_id": "14158632"}, {"ref": "larasluthfiyyah/notebooklarasli-uas", "kernel_id": "14115568"}, {"ref": "yrqunitest/deep-forest", "kernel_id": "14601382"}, {"ref": "sunshineanyway/fork-of-lgb-stock-pred1-1", "kernel_id": "14815392"}, {"ref": "albertespin/exploratory-data-analysis-ideas", "kernel_id": "14563656"}, {"ref": "yashaswitasingh/janestreet", "kernel_id": "14016278"}, {"ref": "huvivian/jane-market-baseline", "kernel_id": "14561292"}, {"ref": "raisamsknopf/raisams-guess-02", "kernel_id": "14450922"}, {"ref": "mikelintw/compute-training-utility-score", "kernel_id": "14507302"}, {"ref": "ryoland/notebookc272b67e8d", "kernel_id": "14684004"}, {"ref": "ryoland/fork-of-notebookc272b67e8d", "kernel_id": "14684434"}, {"ref": "jack44wang/bottleneck-encoder-mlp-keras-tuner-8601c5", "kernel_id": "14425890"}, {"ref": "heepkeapel/gruppe-2", "kernel_id": "14001470"}, {"ref": "tc2w2988/notebook1a19bdc7fe", "kernel_id": "14087117"}, {"ref": "marcodibartolo/cmu-team-pca-xgbclassifier-purgedsplit-optunacv", "kernel_id": "14404220"}, {"ref": "haya1455/resnet-train-crossfeature", "kernel_id": "14702641"}, {"ref": "gcmadhan/jane-street-market-prediction", "kernel_id": "14304542"}, {"ref": "zahidmahar/jane-street-with-keras-nn-overfit", "kernel_id": "14993118"}, {"ref": "varunnatarajan47/downloading-external-financial-data-with-yfinance", "kernel_id": "14291329"}, {"ref": "yujiawang97/pytorch-mlp-lstm", "kernel_id": "14724323"}, {"ref": "yujiawang97/jane-street-eda", "kernel_id": "14682141"}, {"ref": "yujiawang97/pytorch-loaded", "kernel_id": "14923388"}, {"ref": "yujiawang97/pytorch-regression", "kernel_id": "14928523"}, {"ref": "yujiawang97/pytorch-regression-pred", "kernel_id": "14989522"}, {"ref": "nigelyaoj/skeleton-with-pytorch", "kernel_id": "14542333"}, {"ref": "shanemcandrew/shane", "kernel_id": "14479963"}, {"ref": "sleepyhead991/notebookbadae08f06", "kernel_id": "14561497"}, {"ref": "christopherworley/jane-street-lstm", "kernel_id": "14628775"}, {"ref": "xuantum/xuantum-jane-street", "kernel_id": "14949016"}, {"ref": "yonikremer/jane-street-using-tensorflow-keras", "kernel_id": "14883871"}, {"ref": "yonikremer/pytorch-embeddingsnn-resnet-tensorflow", "kernel_id": "14935993"}, {"ref": "yonikremer/doesnt-overfit", "kernel_id": "14938384"}, {"ref": "yonikremer/using-tensorflow-and-pytorch", "kernel_id": "14960468"}, {"ref": "codertao/market-prediction-xgboost-model", "kernel_id": "14836046"}, {"ref": "websiteall/shallow-nn-5k-20-softsign", "kernel_id": "14748432"}, {"ref": "montshastacorp/janestreet-fastai-embedding-smoothnn5-400x3", "kernel_id": "14867691"}, {"ref": "ruhong/accuracy-of-keras-speed-ups", "kernel_id": "15100149"}, {"ref": "rorysroes/roryfinalsub01", "kernel_id": "15061469"}, {"ref": "shrutisaxena/nn-model", "kernel_id": "15984782"}, {"ref": "kirtikhade/notebook-mlp-run1-kk", "kernel_id": "15085372"}, {"ref": "kirtikhade/xgboost", "kernel_id": "15087280"}, {"ref": "andyhu/jane-street-neural-network-starter", "kernel_id": "15008753"}, {"ref": "mburaksayici/ensembling-nns-inside-single-nn-for-fast-inference", "kernel_id": "15043992"}, {"ref": "gyasis/janestreet-submission", "kernel_id": "15013380"}, {"ref": "prashantkikani/jane-street-simple-nn-mlp-w-purgedgroup-v2", "kernel_id": "15001866"}, {"ref": "nareyko/jane-street-market-prediction-lb-eda", "kernel_id": "15299198"}, {"ref": "datascientistsohail/jsmprediction-xboost-mfc", "kernel_id": "15093269"}, {"ref": "lunatik62/pytorch-tagmodels-stacking-1-2", "kernel_id": "15101272"}, {"ref": "lunatik62/pytorch-tagmodels-stacking-2-2", "kernel_id": "15133929"}, {"ref": "snippsy/js-over-complicated-lstm", "kernel_id": "15381350"}, {"ref": "shohihara/notebookd1b7eb5138", "kernel_id": "15203933"}, {"ref": "filipinogambino/ground-up-tabular", "kernel_id": "15895676"}, {"ref": "arindam235/xgboost-stock-prediction", "kernel_id": "15064295"}, {"ref": "dtmanager1979/using-tensorflow-pytorch-and-boost", "kernel_id": "15046271"}, {"ref": "slashie/jsmp-review", "kernel_id": "15823335"}, {"ref": "slashie/jsmp-08-cv-final", "kernel_id": "15032799"}, {"ref": "goalieperson/help-why-does-this-model-always-get-a-score-of-0", "kernel_id": "15115273"}, {"ref": "dongwenjian/xgboost", "kernel_id": "15056142"}, {"ref": "adelizer/sample-submission", "kernel_id": "15047438"}, {"ref": "codefluence/jane-street-market-prediction", "kernel_id": "15369962"}, {"ref": "linshijicun/xgboost", "kernel_id": "15090252"}, {"ref": "scaomath/janest-semper-augustus-final-submission", "kernel_id": "15067319"}, {"ref": "costor107/finding-threshold", "kernel_id": "15060285"}, {"ref": "mistag/train-jane-street-frankenstein-model", "kernel_id": "15052966"}, {"ref": "ethanlhaas/xgb-mod4-predictions", "kernel_id": "15068247"}, {"ref": "gogo827jz/jane-street-supervised-autoencoder-mlp", "kernel_id": "15373155"}, {"ref": "ipsita001/pytorch-embeddingsnn-resnet-tensorflow", "kernel_id": "15011925"}, {"ref": "giorgosmaragkopoulos/janestreet-position-71", "kernel_id": "15058456"}, {"ref": "aryankejriwal4/jsmodel", "kernel_id": "15050920"}, {"ref": "xiaowangiiiii/current-1th-jane-street-ae-mlp-xgb", "kernel_id": "15082991"}, {"ref": "kerempr/notebooka47febcd71", "kernel_id": "15094681"}, {"ref": "dmitryvyudin/jane-street-tf-lamb", "kernel_id": "15343560"}, {"ref": "dmitryvyudin/jane-street-weighted-voting-inference", "kernel_id": "15344145"}, {"ref": "mouafekmk/fastai-inference-pytorch-embeddingsnn-resnet", "kernel_id": "15102741"}, {"ref": "liuzhangyu/cs-ensemble-model", "kernel_id": "15195491"}, {"ref": "liuzhangyu/cs-resnet-v2", "kernel_id": "15183489"}, {"ref": "liuzhangyu/cs-random-forest", "kernel_id": "15182666"}, {"ref": "liuzhangyu/cs-xgboost", "kernel_id": "15182701"}, {"ref": "liuzhangyu/cs-mlp", "kernel_id": "15182730"}, {"ref": "liuzhangyu/cs-resnet", "kernel_id": "15182755"}, {"ref": "liuzhangyu/cs-eda", "kernel_id": "15198655"}, {"ref": "carlmcbrideellis/jane-street-leaderboard-score-difference-plotter", "kernel_id": "15600364"}, {"ref": "teppeiyamaguchi/maximizing-the-utility-score-using-the-cma-es", "kernel_id": "15078242"}, {"ref": "sagarjiyani/pytorch-embeddingsnn-resnet", "kernel_id": "15073091"}, {"ref": "shresht8/notebook-xgb-run2", "kernel_id": "15085387"}, {"ref": "rpsantosakaggle/right-way-action-object-returned", "kernel_id": "15043058"}, {"ref": "jamespett/notebook857ba5a22d", "kernel_id": "15064213"}, {"ref": "want0sl33pallth3t1m3/jane-street-market-prediction-with-keras", "kernel_id": "15045270"}, {"ref": "siddheshshelke/xt-retensor-leanpytorch", "kernel_id": "15079878"}, {"ref": "hedwig100/js-inference-notebook", "kernel_id": "15629798"}, {"ref": "hedwig100/nn-training-notebook", "kernel_id": "15629736"}, {"ref": "venkataramya/bda-sec1b", "kernel_id": "15007577"}, {"ref": "namgoosong/pytorch-tensorflow-mlp-tensorflow-lstm", "kernel_id": "15089501"}, {"ref": "skloveyyp/janestreet-nn-xgb-ensemble", "kernel_id": "15065413"}, {"ref": "srivyshnavi452/180030452-prediction", "kernel_id": "15086633"}, {"ref": "srivyshnavi452/jane-180030452", "kernel_id": "15006972"}, {"ref": "oldwine357/xgb-multilabel-part-1-purgedgrouptime-s-split", "kernel_id": "15052064"}, {"ref": "hwu001/easy-xgboost-starter", "kernel_id": "15061307"}, {"ref": "ossieackermann/multi-l-rnn", "kernel_id": "15022539"}, {"ref": "randomdataset/pytorch-embeddingsnn-409-409-182", "kernel_id": "15031675"}, {"ref": "haya1455/resnet-train-normal", "kernel_id": "15048735"}, {"ref": "zubabinart/fork-of-using-tensorflow-and-pytorch-45870f", "kernel_id": "15067448"}, {"ref": "codertao/jane-street-eda-of-day-0-and-feature-importance", "kernel_id": "15695600"}, {"ref": "olusesiadebisi/jane-street-market-function-trained", "kernel_id": "15357934"}, {"ref": "scottishkimchi/lstm-with-custom-loss", "kernel_id": "16891049"}, {"ref": "shams1/jane-street-1", "kernel_id": "16367669"}, {"ref": "tsnarendran14/jane-street-simple-xgb-model", "kernel_id": "16318498"}, {"ref": "tsnarendran14/3-ensemble-method", "kernel_id": "16345787"}, {"ref": "kritidoneria/automl-evalml-jane-street-market-prediction", "kernel_id": "16949360"}, {"ref": "shayantaherian/jane-street-tf", "kernel_id": "16129388"}, {"ref": "demche/jane-street-market-reruns-dashboard", "kernel_id": "16002101"}, {"ref": "kudasovdmitriy/need-more-gold-jane-street-market-prediction", "kernel_id": "16756447"}, {"ref": "mahmudds/jane-street-market-prediction", "kernel_id": "17929710"}, {"ref": "italosimoes/jane-street-market-predictions", "kernel_id": "17719997"}, {"ref": "anilmallappakotyal/jane-street-market-analysis", "kernel_id": "17870452"}, {"ref": "jtrotman/jane-st-animated-shake-up-plot", "kernel_id": "19911320"}, {"ref": "develuse/lstm-neuralnetwork-sigmas-jane-street-model", "kernel_id": "19991504"}, {"ref": "daverattan/jane-street-feature-data-visualisation", "kernel_id": "20125472"}, {"ref": "vikazrajpurohit/jane-street-1st-on-leaderboard-notebook", "kernel_id": "22697570"}, {"ref": "odins0n/exploring-time-series-plots-beginners-guide", "kernel_id": "22055351"}, {"ref": "charliealgert/market-prediction-xgboost-with-gpu-fit-in-1min", "kernel_id": "32283146"}, {"ref": "charliealgert/market-prediction-catboost-classifier", "kernel_id": "32283242"}, {"ref": "hfzhong/self-implemented-classifier", "kernel_id": "33216755"}, {"ref": "haoge233/self-implemented-classifier", "kernel_id": "33153137"}, {"ref": "senapatirajesh/time-series-plots", "kernel_id": "34098242"}, {"ref": "ayushsunny/exploring-time-series-plots-beginners-guide", "kernel_id": "38438223"}, {"ref": "hikmetdevlet/7-jane-street-market-prediction", "kernel_id": "60792463"}, {"ref": "jusnoss/jane-street202488", "kernel_id": "63643858"}, {"ref": "team63/jane-street-eda-rev-01", "kernel_id": "64753912"}, {"ref": "augestalex/supervised-autoencoder-mlp", "kernel_id": "72430549"}]}
{"competition_id": "23313", "kernels": []}
{"competition_id": "23317", "kernels": []}
{"competition_id": "23320", "kernels": []}
{"competition_id": "23322", "kernels": [{"ref": "shooterboyx/data-driven-security-and-privacy-ads5035-01", "kernel_id": "12323791"}]}
{"competition_id": "23324", "kernels": []}
{"competition_id": "23327", "kernels": []}
{"competition_id": "23329", "kernels": []}
{"competition_id": "23339", "kernels": [{"ref": "stefanlessmann/bads-assignment-submission-example", "kernel_id": "12702207"}]}
{"competition_id": "23341", "kernels": []}
{"competition_id": "23350", "kernels": [{"ref": "carlamontserrat/project2-carlamontserrat", "kernel_id": "12737201"}, {"ref": "aaronperuga/aaronperuga-proyecto2", "kernel_id": "12696314"}, {"ref": "paubernabe/projecte2-paubernabe", "kernel_id": "12683037"}, {"ref": "marcosplaza/projecte2-marcosplaza", "kernel_id": "12674004"}, {"ref": "yusepp/task-2", "kernel_id": "12675922"}, {"ref": "johnnync13/notebook-2-johnny-no-contar-nota", "kernel_id": "12632005"}, {"ref": "ikerhonorato/ikerhonorato-project2", "kernel_id": "12741906"}, {"ref": "juditramosol/judit-ramo-p2", "kernel_id": "12736380"}, {"ref": "xaviervalblasi/practica2-entrega-xavierval", "kernel_id": "12612428"}, {"ref": "miguelmp/miguel-march-piris", "kernel_id": "12714832"}]}
{"competition_id": "23351", "kernels": [{"ref": "arnaurovira/p3-arnaurovirap-rez", "kernel_id": "12697012"}, {"ref": "joaquimyuste/yusteramosjoaquim-t3", "kernel_id": "12725558"}, {"ref": "yusepp/task3-jose-manuel-l-pez-camu-as-no-avaluar", "kernel_id": "12696517"}, {"ref": "johnnync13/notebook-3-johnny", "kernel_id": "12673597"}]}
{"competition_id": "23353", "kernels": [{"ref": "glchau/00-starter-notebook-1", "kernel_id": "12446858"}, {"ref": "anshumand0/anshuman-dewangan-ucsd-neural-data-challenge", "kernel_id": "13907304"}, {"ref": "wilsonxie/eric-wilson-neural-final", "kernel_id": "14416397"}, {"ref": "albertozorzetto/bci-predict-w-kfold-lgbm-training-and-bayesianopt", "kernel_id": "14322205"}, {"ref": "nadosh/my-project-bci-2008", "kernel_id": "60180795"}]}
{"competition_id": "23355", "kernels": [{"ref": "devvret/getting-started-randomforest-without-optimization", "kernel_id": "12732734"}]}
{"competition_id": "23358", "kernels": []}
{"competition_id": "23367", "kernels": []}
{"competition_id": "23380", "kernels": []}
{"competition_id": "23382", "kernels": []}
{"competition_id": "23383", "kernels": []}
{"competition_id": "23389", "kernels": []}
{"competition_id": "23390", "kernels": [{"ref": "mosnoiion/cnn-rnn", "kernel_id": "12378356"}, {"ref": "mosnoiion/cnn-4-x-softmax", "kernel_id": "12592246"}, {"ref": "igorrailean97/densenet121-0-20-private-score", "kernel_id": "12609307"}, {"ref": "imosnoi/my-example-submission", "kernel_id": "12372287"}]}
{"competition_id": "23401", "kernels": []}
{"competition_id": "23405", "kernels": []}
{"competition_id": "23409", "kernels": []}
{"competition_id": "23410", "kernels": []}
{"competition_id": "23411", "kernels": []}
{"competition_id": "23412", "kernels": []}
{"competition_id": "23415", "kernels": []}
{"competition_id": "23423", "kernels": []}
{"competition_id": "23424", "kernels": []}
{"competition_id": "23450", "kernels": []}
{"competition_id": "23452", "kernels": []}
{"competition_id": "23457", "kernels": []}
{"competition_id": "23473", "kernels": [{"ref": "rahatreza/notebook361c281ea4", "kernel_id": "12638192"}, {"ref": "lmeena/fork-of-assignment-2", "kernel_id": "12699796"}, {"ref": "riddhimanghatak/crack-detection", "kernel_id": "53328601"}]}
{"competition_id": "23476", "kernels": []}
{"competition_id": "23478", "kernels": [{"ref": "ebinjohny/ai-club-inductions-1", "kernel_id": "12594448"}, {"ref": "nishithas/nishitha-s", "kernel_id": "12611511"}]}
{"competition_id": "23486", "kernels": [{"ref": "natiaris/whatever", "kernel_id": "12521472"}, {"ref": "sergemsu/direct-0-643", "kernel_id": "12872611"}, {"ref": "holyketzer/ml-hw1-movie-genres-tfidf-tune-merge-dialog-0-639", "kernel_id": "12874841"}, {"ref": "xluttiy/made-ml-hw2-ekh-ds12", "kernel_id": "12516219"}, {"ref": "langsys/simple-baseline-0-619-plb-0-62prlb", "kernel_id": "12870044"}, {"ref": "mornie/logreg-0-64prlb-v-6", "kernel_id": "12550598"}, {"ref": "astarikov/movie-genre-logregression-0-62", "kernel_id": "12871767"}]}
{"competition_id": "23491", "kernels": [{"ref": "shwksl101/bert-multilingual", "kernel_id": "12429473"}]}
{"competition_id": "23496", "kernels": []}
{"competition_id": "23508", "kernels": []}
{"competition_id": "23511", "kernels": []}
{"competition_id": "23520", "kernels": [{"ref": "tojoh15/notebook48f5f170f0", "kernel_id": "12495842"}]}
{"competition_id": "23521", "kernels": [{"ref": "leeminyoung/16011577", "kernel_id": "14285208"}]}
{"competition_id": "23522", "kernels": []}
{"competition_id": "23523", "kernels": []}
{"competition_id": "23525", "kernels": []}
{"competition_id": "23526", "kernels": []}
{"competition_id": "23527", "kernels": [{"ref": "snetkovr/baseline-v2", "kernel_id": "12460077"}]}
{"competition_id": "23538", "kernels": []}
{"competition_id": "23547", "kernels": [{"ref": "berbardo/pmr3508-2020-151-an-lise-de-sentimentos", "kernel_id": "12979944"}, {"ref": "joaoalexsb/pmr3508-2020-96-imdb-sentiment-analysis", "kernel_id": "12978237"}, {"ref": "felipepolo/exemplo", "kernel_id": "12497364"}, {"ref": "felipekenzomashuda/pmr3508-2020-72-sentiment", "kernel_id": "12958323"}, {"ref": "henriqueigaiwang/pmr3508-2020-38", "kernel_id": "12852997"}, {"ref": "pmr3508202094/analise-sentimentos-94", "kernel_id": "12945696"}, {"ref": "arthuralvestasca/pmr3508-2020-17-feelings", "kernel_id": "12894896"}, {"ref": "pmr35082020130/neural-networks-for-sentiment-analysis", "kernel_id": "12930908"}, {"ref": "pmr350820206/pmr3508-2020-6-sentimentanalysis", "kernel_id": "12893585"}, {"ref": "pmr3508202044/pmr3508-2020-44-sentimentanalysis", "kernel_id": "12977718"}, {"ref": "pmr35082020178/pmr3508-2020-178-an-lise-de-sentimentos", "kernel_id": "12985927"}, {"ref": "pmr3508202048/pmr3508-2020-48-sentiment", "kernel_id": "12997623"}, {"ref": "pmr3508202061/pmr3508-2020-61-an-lise-de-sentimentos", "kernel_id": "12940524"}, {"ref": "pmr3508202015/pmr3508-2020-15-sentiment", "kernel_id": "12886315"}, {"ref": "vitorgt/pmr3508-imdb-reviews-sentiment-analysis", "kernel_id": "13332501"}, {"ref": "lopess/pmr3508-2020-58-analisesentimentos", "kernel_id": "13174510"}, {"ref": "ekantem/pmr3508-2020-60-an-lise-de-sentimentos", "kernel_id": "13372279"}, {"ref": "guilhermesugahara/pmr3508-2020-20-nn", "kernel_id": "13368432"}, {"ref": "vitorcanineokomar/pmr-3508-161-analise-de-sentimentos", "kernel_id": "13201903"}, {"ref": "thiagoyukio83/pmr3508-2020-11-sentiment-imdb", "kernel_id": "13349373"}, {"ref": "therealnetto/ml-ep3", "kernel_id": "13372161"}, {"ref": "felipeteti/pmr3508-2020-128", "kernel_id": "13364308"}, {"ref": "danielvitorp/pmr3508-2020-118-redes-neurais", "kernel_id": "13196362"}, {"ref": "pmr3508201918/pmr3508-2020-08", "kernel_id": "13368720"}, {"ref": "enzobustos/pmr3508-2020-125-analise-de-sentimentos", "kernel_id": "13226693"}, {"ref": "brunocaixetapiazza/pmr3508-2020-119-an-lise-de-sentimentos", "kernel_id": "13333381"}, {"ref": "gustavonunesribeiro/pmr3508-141", "kernel_id": "13202478"}, {"ref": "danielmaloufcozzubo/pmr3508-2020-31-sentimentanalysis", "kernel_id": "13347698"}, {"ref": "anaclaramioto/pmr3508-2020-89-project-3", "kernel_id": "13371450"}, {"ref": "gilbertovilar/pmr3508-2020-13-sentimentanalysis", "kernel_id": "13184925"}, {"ref": "marcelogug/pmr3508-2020-34-sentiment-analysis", "kernel_id": "13371715"}, {"ref": "caioasai/pmr3508-2020-37-sentimentanalysis", "kernel_id": "13057513"}, {"ref": "eduardobaeninger/pmr3508-2020-166-an-lise-de-sentimentos", "kernel_id": "13220446"}, {"ref": "gustavomsilva/notebookaf04422ad8", "kernel_id": "13374898"}, {"ref": "mariafernandarezende/sentiment-analysis-175", "kernel_id": "13344818"}, {"ref": "pmr35082019135/pmr3508-2020-135-sentimentanalysis", "kernel_id": "13297947"}, {"ref": "pmr35082020149/pmr3508-2020-149-an-lise-de-sentimentos", "kernel_id": "13231962"}, {"ref": "pmr3508202042/pmr3508-2020-42-sentiment-analysis", "kernel_id": "13304540"}, {"ref": "pmr3508202087/pme3508-2020-87-sentimentanalysis", "kernel_id": "13081728"}, {"ref": "pedromarzagao/pmr3508-2020-67-sentiment-analysis", "kernel_id": "13371206"}, {"ref": "ltrschneider/pmr3508-2020-140-an-lise-de-sentimentos", "kernel_id": "13177293"}, {"ref": "pmr3508202027/pmr3508-2020-27-redeneural-sentimentos", "kernel_id": "13372149"}, {"ref": "pmr3508202043/pmr3508-2020-43-analise-de-sentimentos", "kernel_id": "13169706"}, {"ref": "rodrigoreis2002/pmr3508-2020-173-movie-review", "kernel_id": "13088920"}, {"ref": "pmr35082020177/pmr3508-2020-177-an-lise-de-sentimento", "kernel_id": "13225707"}, {"ref": "pmr35082020165/pmr3508-2020-165-sentiment-analysis", "kernel_id": "13370828"}, {"ref": "pmr35082020167/pmr3508-2020-167-sentiment-analysis", "kernel_id": "13201994"}, {"ref": "pmr3508202071/pmr3508-2020-71-sentimentanalysis", "kernel_id": "13370111"}, {"ref": "pmr3508202095/pmr3508-2020-95-sentimentos", "kernel_id": "13141759"}, {"ref": "pmr35082020148/pmr3508-2020-148-sentiment-analysis", "kernel_id": "13044393"}, {"ref": "pmr35082020153/pmr3508-2020-153-sentimentanalysis", "kernel_id": "13236365"}, {"ref": "muriloccdemoura/pmr3508-2020-99-sentimentos", "kernel_id": "13228754"}, {"ref": "marcomatalani/pmr3508-2020-169-an-lise-de-sentimentos-com-nn", "kernel_id": "13231138"}, {"ref": "pmr3508202039/analise-sentimentos-39", "kernel_id": "13040831"}, {"ref": "pmr3508202036/pmr3508-2020-36-sentiment-analysis", "kernel_id": "13040113"}, {"ref": "pmr3508202085/pmr3508-2020-85-sentimentos", "kernel_id": "13183339"}, {"ref": "pmr35082020144/pmr-2020-144-an-lise-de-sentimentos", "kernel_id": "13175610"}, {"ref": "pmr35082020226/pmr3508-2020-2-26-an-lise-de-sentimentos", "kernel_id": "13252573"}, {"ref": "alvarora/pmr-3508-2020-5", "kernel_id": "13044087"}, {"ref": "pmr3508202012/pmr3508-2020-12-analise-sentimentos", "kernel_id": "13198021"}, {"ref": "juliaemiivano/pmr3508-2020-156-sentiment-analysis", "kernel_id": "13229139"}, {"ref": "pmr3508202069/pmr3508-2020-69-sentiment-analysis", "kernel_id": "13367793"}, {"ref": "pmr35082020127/pmr3508-2020-127-sentimental-analysis", "kernel_id": "13065497"}, {"ref": "gabrielhmp/pmr3508-2020-121-an-lise-de-sentimentos", "kernel_id": "13333441"}, {"ref": "pmr3508202063/pmr3508-2020-63-sentimental-analysis", "kernel_id": "13329506"}, {"ref": "guilhermenalinmoraes/pmr3508-137", "kernel_id": "13365511"}, {"ref": "julionagy/pmr3508-2020-163-sentimental-analysis", "kernel_id": "13326218"}, {"ref": "lucascoffonimorrone/pmr3508-2020-168-sentimentanalysis", "kernel_id": "13327597"}, {"ref": "pmr3508202029/pmr3508-2020-29-an-lise-de-sentimentos", "kernel_id": "13328845"}, {"ref": "pmr35082020101/pmr3508-2020-101-an-lise-de-sentimentos", "kernel_id": "13134224"}, {"ref": "pmr3508202091/pmr3508-2020-91-sentiment-analysis", "kernel_id": "13361405"}, {"ref": "jeancarlosmello/pmr3508-2020-114-an-lise-de-sentimentos", "kernel_id": "13174464"}, {"ref": "israelcubas/pmr3508-2020-104-sentiment-analysis", "kernel_id": "13361752"}, {"ref": "pmr35082020120/pmr-3508-120-sentimentos", "kernel_id": "13091719"}, {"ref": "henriquebarros/pmr3508-2020-129-an-lise-de-sentimentos", "kernel_id": "13064632"}, {"ref": "pmr3508202082/pmr3508-2020-82-sentiment-analysis", "kernel_id": "13371603"}, {"ref": "pmr3508202025/pmr3508-2020-25", "kernel_id": "13373637"}, {"ref": "lucaszagobds/pmr3508-2020-160-sentimentanalisys", "kernel_id": "13053956"}, {"ref": "pmr35082020142/pmr3508-2020-142-sentiment-analysis", "kernel_id": "13064527"}, {"ref": "pmr3508202014/pmr3508-2020-14-sentimental-analysis", "kernel_id": "13344580"}, {"ref": "pmr35082020157/pmr3508-2020-157-an-lise-de-sentimentos", "kernel_id": "13224778"}, {"ref": "pme3508202086/pmr3508-86-2020-an-lise-de-sentimentos", "kernel_id": "13351919"}, {"ref": "viniciusdamin/pmr3508-2020-133-sentiment-analysis", "kernel_id": "13194475"}, {"ref": "pmr35082020100/pmr3508-2020-100-an-lise-de-sentimentos", "kernel_id": "13370287"}, {"ref": "pmr3508202076/pmr3506-2020-76-an-lise-de-sentimentos", "kernel_id": "13090035"}, {"ref": "pmr35082020132/pmr3508-2020-132-sentiment-analysis", "kernel_id": "13262414"}, {"ref": "pmr35082020115/pmr3508-2020-115-movie-review", "kernel_id": "13349631"}, {"ref": "kentsuzuki/pmr3508-2020-47-sentiment-analysis", "kernel_id": "13022638"}, {"ref": "gustavofaia/pmr3508-2020-90-ep3", "kernel_id": "13091623"}, {"ref": "pmr3508202050/pmr3508-2020-50-an-lise-de-sentimento-imdb", "kernel_id": "13102653"}, {"ref": "andrnagano/pmr3508-2020-138-sentiment-analysis", "kernel_id": "13357788"}, {"ref": "pmr35082020116/pmr3508-2020-116-sentiment-analysis", "kernel_id": "13091856"}, {"ref": "pmr35082020136/pmr3508-2020-136-sentimentanalysis", "kernel_id": "13271980"}, {"ref": "franciscogaieski/pmr3508-2020-32-an-lise-de-sentimentos", "kernel_id": "13201087"}, {"ref": "juliafrejat/pmr3508-2020-131-an-lise-de-sentimentos", "kernel_id": "13370770"}, {"ref": "pmr3508202088/pmr3508-2020-88-imdb", "kernel_id": "13370749"}, {"ref": "pmr3508202056n/pmr3508-2020-56-an-lise-de-sentimento", "kernel_id": "13202486"}, {"ref": "pmr3508202062/pmr3508-2020-62-analise-sentimentos", "kernel_id": "13372383"}, {"ref": "gabrielalencaar/pmr3508-2020-57-an-lise-de-sentimentos", "kernel_id": "13219696"}, {"ref": "gabrielcorteletti/pmr3508-2020-143-an-lise-de-sentimentos", "kernel_id": "13203897"}, {"ref": "pmr35082020139/pmr3508-2020-139-sentiment-analysis", "kernel_id": "13371773"}, {"ref": "jooceccarelli/pmr3508-2020-16-sentiment-analysis", "kernel_id": "13328441"}, {"ref": "pmr35082020123/pmr3508-2020-123-an-lise-de-sentimento", "kernel_id": "13330185"}, {"ref": "angeloby/pmr3508-77-nn", "kernel_id": "13366684"}, {"ref": "yurilp/notebooka051eec428", "kernel_id": "13390866"}, {"ref": "pmr350820207/pmr3508-2020-7", "kernel_id": "13371104"}, {"ref": "paollafurquimdaud/pmr3508-2020-23-an-lise-sentimentos-imdb", "kernel_id": "13371687"}, {"ref": "pmr3508202059/pmr3508-2020-59-nlp", "kernel_id": "13025578"}, {"ref": "pmr3508202079/pmr3508-2020-79-analise-de-sentimentos", "kernel_id": "13348291"}, {"ref": "pmr35082020154/pmr3508-2020-154-an-lise-de-sentimentos", "kernel_id": "13351104"}, {"ref": "kaioogawa/pmr3508-2020-49-sentimentanalysis", "kernel_id": "13369323"}, {"ref": "franciscommonteiro/pmr3508-2020-28-sentimentanalysis", "kernel_id": "13329114"}, {"ref": "pmr35082020146/pmr3508-2020-146-an-lise-de-sentimentos", "kernel_id": "13202343"}, {"ref": "pmr35082020158/pmr-158-an-lise-de-sentimentos", "kernel_id": "13180443"}, {"ref": "pmr35082020117/pmr3508-2020-117-sentimentanaysis", "kernel_id": "13370808"}, {"ref": "pmr3508202040/pmr3508-2020-40-sentiment-analysis", "kernel_id": "13372093"}, {"ref": "guilhermecampello/pmr3508-2020-81-analise-de-sentimentos", "kernel_id": "13323743"}, {"ref": "pmr3508202093/pmr3508-2020-93-analise-de-sentimentos", "kernel_id": "13371840"}, {"ref": "pmr35082020174/pmr3508-174-neuralnetworks", "kernel_id": "13362809"}, {"ref": "pmr3508202045/pmr3508-2020-45-ep3", "kernel_id": "13370269"}, {"ref": "pmr3508202045/ep3-pmr3508-2020-45", "kernel_id": "13369875"}, {"ref": "pmr3508202046/pmr3508-2020-46-an-lise-de-sentimentos", "kernel_id": "13351436"}, {"ref": "julianofonseca/pmr3508-2020-106-an-lise-de-sentimentos", "kernel_id": "13201149"}, {"ref": "pmr3508202053/pmr3508-2020-53-sentiment-analysis", "kernel_id": "13371437"}, {"ref": "pmr3508202075/pmr3508-2020-75-sentiment", "kernel_id": "13367851"}, {"ref": "pgalicia/pmr3508-2020-24-sentiment-analysis", "kernel_id": "13372418"}, {"ref": "guilhermedeatorres/pmr3508-2020-105-sentimental-analysis", "kernel_id": "13366407"}, {"ref": "andremreis/pmr3508-2020-122-an-lise-de-sentimentos", "kernel_id": "13370034"}, {"ref": "pmr350820209349840/pmr3508-2020-22-sentiment-analysis", "kernel_id": "13362880"}, {"ref": "pmr3508202066/pmr3508-2020-66-sentimentanalysis", "kernel_id": "13371869"}, {"ref": "murillojaf/pmr3508-2020-33", "kernel_id": "13372517"}]}
{"competition_id": "23548", "kernels": [{"ref": "anshumand0/anshuman-dewangan-steam-play-prediction", "kernel_id": "13971352"}]}
{"competition_id": "23549", "kernels": []}
{"competition_id": "23550", "kernels": []}
{"competition_id": "23556", "kernels": [{"ref": "alanarnholt/foryou2", "kernel_id": "12480251"}]}
{"competition_id": "23558", "kernels": [{"ref": "ashish12350/image-hashtag-recommendation", "kernel_id": "12504330"}]}
{"competition_id": "23563", "kernels": [{"ref": "overwenyan/notebook720153f6ee", "kernel_id": "12801098"}]}
{"competition_id": "23585", "kernels": []}
{"competition_id": "23593", "kernels": []}
{"competition_id": "23600", "kernels": []}
{"competition_id": "23601", "kernels": []}
{"competition_id": "23608", "kernels": []}
{"competition_id": "23611", "kernels": []}
{"competition_id": "23613", "kernels": []}
{"competition_id": "23614", "kernels": [{"ref": "daniil915/simple-solution", "kernel_id": "12524485"}]}
{"competition_id": "23622", "kernels": []}
{"competition_id": "23623", "kernels": []}
{"competition_id": "23633", "kernels": []}
{"competition_id": "23635", "kernels": []}
{"competition_id": "23637", "kernels": []}
{"competition_id": "23638", "kernels": []}
{"competition_id": "23652", "kernels": [{"ref": "reighns/tutorial-pytorch-saving-and-loading-inference", "kernel_id": "12994238"}, {"ref": "mathurinache/seti-bl-224x224-tfrec-data", "kernel_id": "16908694"}, {"ref": "mathurinache/seti-bl-240x240-tfrec-data", "kernel_id": "16908709"}, {"ref": "mathurinache/seti-bl-300x300-tfrec-data", "kernel_id": "16908732"}, {"ref": "mathurinache/seti-bl-380x380-tfrec-data", "kernel_id": "16908748"}, {"ref": "mathurinache/seti-bl-456x456-tfrec-data", "kernel_id": "16908791"}, {"ref": "mathurinache/seti-bl-512x512-tfrec-data", "kernel_id": "16908809"}, {"ref": "mathurinache/seti-bl-600x600-tfrec-data", "kernel_id": "16908825"}, {"ref": "mathurinache/seti-bl-1024x1024-tfrec-data", "kernel_id": "16909126"}, {"ref": "mathurinache/seti-bl-800x800-tfrec-data", "kernel_id": "16909213"}, {"ref": "mathurinache/seti-bl-128x128-tfrec-data-a49091", "kernel_id": "16910001"}, {"ref": "jeongyoonlee/tf-keras-cnn-baseline", "kernel_id": "16898598"}, {"ref": "aninda/finding-aliens-fastai", "kernel_id": "16904101"}, {"ref": "peterv1/seti-signal-search-data-exploration", "kernel_id": "16940000"}, {"ref": "tomwarrens/seti-start-eda", "kernel_id": "16902564"}, {"ref": "usharengaraju/seti-eda-baseline-tensorflow-and-tpu", "kernel_id": "16930536"}, {"ref": "praveengovi/seti-signal-search-eda-pytorch-model", "kernel_id": "16903573"}, {"ref": "robikscube/e-t-phone-home", "kernel_id": "16900962"}, {"ref": "tanlikesmath/seti-et-signal-detection-a-simple-cnn-starter", "kernel_id": "16900459"}, {"ref": "tanlikesmath/seti-simple-eda-to-help-you-get-started", "kernel_id": "16898038"}, {"ref": "byfone/efficientnetb1-on-seti-breakthrough-listen", "kernel_id": "16938492"}, {"ref": "lpachuong/notebook4e2557db83", "kernel_id": "16938024"}, {"ref": "anubhav1302/seti-quick-eda", "kernel_id": "16902177"}, {"ref": "vyordanov/seti-data-256x256-tfrec-data", "kernel_id": "16991299"}, {"ref": "yeonghyeon/seti-step-by-step-guide-for-beginner-eda-tf", "kernel_id": "16965022"}, {"ref": "ihelon/signal-search-exploratory-data-analysis", "kernel_id": "16896758"}, {"ref": "tanreinama/pytorch-beseline-useing-efficientnet", "kernel_id": "16900818"}, {"ref": "jiny333/pytorch-simple-baseline-resnet-18-trn-infer", "kernel_id": "16898739"}, {"ref": "jiny333/simple-eda-with-pandas", "kernel_id": "16898002"}, {"ref": "yasufuminakama/seti-nfnet-l0-starter-inference", "kernel_id": "16920749"}, {"ref": "yasufuminakama/seti-nfnet-l0-starter-training", "kernel_id": "16910458"}, {"ref": "manabendrarout/tensorflow-tpu-starter-and-eda", "kernel_id": "16910697"}, {"ref": "manabendrarout/nfnet-pytorch-starter-lb-0-95", "kernel_id": "16902298"}, {"ref": "xhlulu/seti-create-training-tf-records", "kernel_id": "16940660"}, {"ref": "xhlulu/seti-bidirectional-gru-in-keras", "kernel_id": "16899856"}, {"ref": "antony314/seti-breakthrough-listen-0-1", "kernel_id": "16905707"}, {"ref": "imeintanis/resx-botnet-classifier-torch-native", "kernel_id": "16959096"}, {"ref": "eladwar/setup", "kernel_id": "16898523"}, {"ref": "ted0071/seti-efficientnetb0", "kernel_id": "16994609"}, {"ref": "sahilchachra/et-signal-resnext4d-pytorch", "kernel_id": "16906217"}, {"ref": "bags8040/cnn-bigru-demo", "kernel_id": "16999281"}, {"ref": "lakshya91/detecting-wow-signal", "kernel_id": "16899162"}, {"ref": "heyytanay/pytorch-training-augments-vit-kfolds", "kernel_id": "16993839"}, {"ref": "harshsharma511/one-stop-understanding-eda-efficientnet", "kernel_id": "16998070"}, {"ref": "piantic/infer-seti-pytorch-starter-chans-vs-spatial", "kernel_id": "16914983"}, {"ref": "piantic/train-seti-pytorch-starter-chans-vs-spatial", "kernel_id": "16912004"}, {"ref": "micheomaano/simple-yet-effectiveb0-lb-0-96", "kernel_id": "16932773"}, {"ref": "awsaf49/seti-bl-256x256-tfrecord-data", "kernel_id": "16903384"}, {"ref": "awsaf49/seti-bl-channelwise-alignment-tf-tpu", "kernel_id": "16904549"}, {"ref": "awsaf49/seti-bl-spatial-alignment-tf-tpu", "kernel_id": "16931353"}, {"ref": "awsaf49/seti-bl-spatial-alignment-pytorch-gpu", "kernel_id": "16979510"}, {"ref": "maximvlah/pytorch-resnet18-baseline", "kernel_id": "16927946"}, {"ref": "vislupus/seti-signal-search", "kernel_id": "16910462"}, {"ref": "manjunathns/seti-anomally-detection-with-wandb-rev-01", "kernel_id": "16911714"}, {"ref": "akhileshdkapse/seti-cnn-encoder-decoder-model-tpu", "kernel_id": "16974259"}, {"ref": "mdtanviranjum/seti-bidirectional-analysis-submission", "kernel_id": "16951482"}, {"ref": "kartikpandeykp/fastai-resnet152-seti-p1", "kernel_id": "16926964"}, {"ref": "tuchsanaiplo/et-sumptech-v0-netfull", "kernel_id": "16908240"}, {"ref": "debarshichanda/efficientnetv2-mixup-leak-free", "kernel_id": "16920036"}, {"ref": "mrigendraagrawal/tf-spatial-seti-breakthrough-listen-starter", "kernel_id": "16937853"}, {"ref": "sourabhy/seti-challenge-eda-and-data-preparation", "kernel_id": "16913854"}, {"ref": "kenjirokiyono/seti-simple-code-for-beginners-tensorflow", "kernel_id": "16970972"}, {"ref": "sanjayacharjee/pytorch-lightning-starter-with-efficientnets", "kernel_id": "16995789"}, {"ref": "adityajha1504/aliens-ooooh-eda", "kernel_id": "16900237"}, {"ref": "michaeltkachuk4/seti-efficient", "kernel_id": "16931516"}, {"ref": "jianxinhu/pytorch-baseline-efficientnet-train-interface", "kernel_id": "16911271"}, {"ref": "baronnguyends/seti-first-look-eda", "kernel_id": "16967858"}, {"ref": "kudasovdmitriy/hello-aliens", "kernel_id": "16938331"}, {"ref": "parthdhameliya77/class-imbalance-weighted-binary-cross-entropy", "kernel_id": "16906292"}, {"ref": "glazed/eda-looking-for-needles-in-all-the-wrong-places", "kernel_id": "17700524"}, {"ref": "kazanova/leak-submission-lb-0-991", "kernel_id": "17838501"}, {"ref": "peterv1/seti-signal-search-cnn-26", "kernel_id": "17865046"}, {"ref": "peterv1/seti-signal-search-cnn-18", "kernel_id": "17672139"}, {"ref": "peterv1/seti-signal-search-cnn-20", "kernel_id": "17722317"}, {"ref": "peterv1/seti-signal-search-cnn-21", "kernel_id": "17728377"}, {"ref": "aramos/eda-seti-breakthrough-listen", "kernel_id": "17406361"}, {"ref": "jamesmcguigan/seti-what-do-signals-look-like", "kernel_id": "17595419"}, {"ref": "ttahara/eda-seti-e-t-train-v-s-test-by-cnn-embeddings", "kernel_id": "17489412"}, {"ref": "ttahara/rerun-seti-e-t-resnet18d-baseline", "kernel_id": "17456389"}, {"ref": "kozodoi/seti-mean-and-std-of-new-data", "kernel_id": "17809885"}, {"ref": "finlay/seti-e-t-efficientnet-starter-code", "kernel_id": "17257858"}, {"ref": "tanlikesmath/seti-pytorch-xla-tpu-starter", "kernel_id": "17362046"}, {"ref": "lhagiimn/seti-ensemble-public-notebooks", "kernel_id": "17846539"}, {"ref": "agentauers/seti21-normalization-of-data", "kernel_id": "17108456"}, {"ref": "nachiket273/pytorch-resnetrs50-ema-wandb", "kernel_id": "17448903"}, {"ref": "styrluk/seti-notebook", "kernel_id": "17313387"}, {"ref": "wspinkaggle/seti-basic-tensorflow-efficientnet", "kernel_id": "17218602"}, {"ref": "rerere/signal-search-keras-two-input-lstm", "kernel_id": "17112621"}, {"ref": "evilpsycho42/eda-baseline-boolart", "kernel_id": "17389403"}, {"ref": "yururoi/dummy-signal-data-augmentation", "kernel_id": "17620049"}, {"ref": "shionhonda/rerun-search-for-effective-data-augmentation", "kernel_id": "17396853"}, {"ref": "shashwatwork/commonlit-the-topic-modelling-approach-with-py", "kernel_id": "17199319"}, {"ref": "caiquefcoelho/seti-breakthrough-listen-e-t-signal-search", "kernel_id": "17050078"}, {"ref": "nyanpn/yet-another-leakage-lb0-995", "kernel_id": "17852548"}, {"ref": "robert76/efficientnet-pretrained", "kernel_id": "17266359"}, {"ref": "kaeldric/aliens", "kernel_id": "17596596"}, {"ref": "dreamlikecloud/seti-e-t-baseline", "kernel_id": "17269281"}, {"ref": "miyakawa2286/show-false-positives-from-baseline-oof", "kernel_id": "17012303"}, {"ref": "sherlockkay/visualize-rocket", "kernel_id": "17167364"}, {"ref": "ayuraj/comparative-study-seti-experiments", "kernel_id": "17475546"}, {"ref": "ayuraj/train-tensorflow-efficientnet-kfold-w-b", "kernel_id": "17022776"}, {"ref": "manabendrarout/vision-transformer-vit-pytorch-on-tpus-train", "kernel_id": "17013060"}, {"ref": "manabendrarout/inference-5x-ensemble-vanilla-resnet34d-seti", "kernel_id": "17623583"}, {"ref": "manabendrarout/rfi-reduction-ideas-examples-seti", "kernel_id": "17711533"}, {"ref": "xhlulu/seti-create-test-tf-records", "kernel_id": "17024371"}, {"ref": "eladwar/pytorch-dwts", "kernel_id": "17072201"}, {"ref": "ricopue/seti-simple-anomaly-detection", "kernel_id": "17043621"}, {"ref": "hiroshihiroshi/use-py-in-r-to-search-for-signals-from-universe", "kernel_id": "17419334"}, {"ref": "sawantvishwajeet729/seti-1-preprocessing-with-fourier-tranform", "kernel_id": "17485368"}, {"ref": "ajax0564/tpu-eff-b5-cbam", "kernel_id": "17273375"}, {"ref": "ajax0564/seti-efficientnetv2-online-label-smoothing-train", "kernel_id": "17485730"}, {"ref": "chusjm/seti-bl-preprocessed-dataset-to-tfrecord", "kernel_id": "17792751"}, {"ref": "anirudhg15/seti-et-baseline-efficientnetb3", "kernel_id": "17005238"}, {"ref": "reighns/lb-0-98-cv-0-9915-forward-ensembling-technique", "kernel_id": "17648688"}, {"ref": "reighns/fixed-gradual-warmup-custom-head", "kernel_id": "17684324"}, {"ref": "micheomaano/efficientnet-b4-mixup-cv-0-98-lb-0-97", "kernel_id": "17108529"}, {"ref": "micheomaano/pytorch-spatial-tpu-training-1-epoch-10-mins", "kernel_id": "17158634"}, {"ref": "micheomaano/a-to-z-training-and-inference-spatial-image", "kernel_id": "17135043"}, {"ref": "micheomaano/mixup-training-5fold-spatial", "kernel_id": "17279003"}, {"ref": "ligtfeather/swinformer-cutmix-amp-accelerate-w-b", "kernel_id": "17748022"}, {"ref": "awsaf49/siim-covid-19-study-level-train-tpu", "kernel_id": "17072181"}, {"ref": "abebe9849/visualization-of-oof", "kernel_id": "17005212"}, {"ref": "tomooinubushi/detect-easter-egg-with-template-matching-update", "kernel_id": "17579978"}, {"ref": "tomooinubushi/train-model-only-with-off-target-images", "kernel_id": "17741775"}, {"ref": "tomooinubushi/0-9-roc-auc-pytorch-trainer-vit-kfolds", "kernel_id": "17365974"}, {"ref": "tegzes/lightning-single-fold-training-new-lb-0-732", "kernel_id": "17883672"}, {"ref": "morenovanton/seti-signal-search-rnn-and-cnn", "kernel_id": "17668222"}, {"ref": "meenakshiramaswamy/siim-covid-inf-img768", "kernel_id": "17856615"}, {"ref": "mvukovic/seti-starter", "kernel_id": "17255906"}, {"ref": "rolandstenger/end2end-with-pytorch-lightning-and-wandb-0-96", "kernel_id": "17268256"}, {"ref": "anaselmasry/seti-bidirectional-gru-in-keras", "kernel_id": "17172867"}, {"ref": "manjunathns/seti-anomally-detection-with-wandb-rev-03", "kernel_id": "17817897"}, {"ref": "assign/seti-with-colab-pro-gpu-tensorflow", "kernel_id": "17290766"}, {"ref": "tuckerarrants/seti-rapids-knn", "kernel_id": "17310179"}, {"ref": "tuckerarrants/seti-learned-image-resizing", "kernel_id": "17789963"}, {"ref": "cnhung/kaggle-seti-approximate-background-noise", "kernel_id": "17485598"}, {"ref": "cnhung/kaggle-seti", "kernel_id": "17172546"}, {"ref": "datafan07/pytorch-lightning-single-fold-training-lb-0-97", "kernel_id": "17701962"}, {"ref": "anaclaricerezende/seti-basic-with-tensor-flow", "kernel_id": "17897267"}, {"ref": "woosungyoon/seti-test2-encoder", "kernel_id": "17431840"}, {"ref": "woosungyoon/seti-test1", "kernel_id": "17387998"}, {"ref": "woosungyoon/seti-visualization-mean-values", "kernel_id": "17055139"}, {"ref": "woosungyoon/seti-cyclegan-and-classification-prototype", "kernel_id": "17211935"}, {"ref": "alincijov/seti-breaktrough-efficientnet-ensemble", "kernel_id": "17066944"}, {"ref": "vikrant6767/seti-breakthrough-listen-tfdata", "kernel_id": "17139660"}, {"ref": "sourabhy/seti-efficientnet", "kernel_id": "17104897"}, {"ref": "darknesszx/leak-submission-lb-1-0", "kernel_id": "17872901"}, {"ref": "shanmukh05/augly-fair-s-new-data-augmentation-library", "kernel_id": "17870002"}, {"ref": "leandermeinken/seti-tensorflow-tpu-modeling", "kernel_id": "17307092"}, {"ref": "zekunn/efficientnet-b1-pretrained", "kernel_id": "17482729"}, {"ref": "kevin1742064161/compare-pred0-1", "kernel_id": "17416637"}, {"ref": "wesleyoke/seti-tfrec-data", "kernel_id": "17456951"}, {"ref": "fauzanalfariz/seti-e-t-efficientnet-b4-signal-detection", "kernel_id": "17798981"}, {"ref": "fauzanalfariz/seti-e-t-gru-signal-detection", "kernel_id": "17511191"}, {"ref": "xuxu1234/efficientnet-b1-focal-loss-kfold-mix-up-lb-0-97", "kernel_id": "17447652"}, {"ref": "xuxu1234/lb-0-97-resnet34d-focal-loss", "kernel_id": "17677594"}, {"ref": "xuzongniubi/seti-e-t-resnet18d-baseline", "kernel_id": "17614671"}, {"ref": "xuzongniubi/efficientnet-b1-focal-loss-kfold-mix-up-lb-0-97", "kernel_id": "17590873"}, {"ref": "fatliuyun/kaggle-in-spectrograms", "kernel_id": "17184178"}, {"ref": "gaetanpelletier/seti-autokeras", "kernel_id": "17654652"}, {"ref": "h053473666/seti-gcs-and-csv-543-512", "kernel_id": "17690394"}, {"ref": "h053473666/tensorflow-tpu-seti-efficientnet-infer", "kernel_id": "17697157"}, {"ref": "h053473666/tensorflow-tpu-seti-efficientnet-train", "kernel_id": "17695649"}, {"ref": "h053473666/seti-npz-543-512-a-f", "kernel_id": "17686894"}, {"ref": "h053473666/seti-npz-543-512-test-mix2", "kernel_id": "17686926"}, {"ref": "h053473666/seti-npz-543-512-0-9", "kernel_id": "17686620"}, {"ref": "muhammadzubairkhan92/signal-search-exploratory-data-analysis", "kernel_id": "17026266"}, {"ref": "bartmaciszewski/seti-bl-1638x256-tfrec-data", "kernel_id": "17480969"}, {"ref": "hanx2smile/leak-submission-lb-1-0", "kernel_id": "17850840"}, {"ref": "inumellasricharanv2/seti-eda-pytorch-prior-knowledge", "kernel_id": "17342627"}, {"ref": "pesawatmelintas/custom-head-gradual-warmup-single-fold-0-97", "kernel_id": "17706850"}, {"ref": "titericz/check-cuda-and-cudnn", "kernel_id": "18167782"}, {"ref": "titericz/removing-normalizing-leak-offline", "kernel_id": "18012851"}, {"ref": "saurabhbagchi/ensemble-for-seti-competition", "kernel_id": "18653302"}, {"ref": "gopalmahadevan/seti-nfnet-l0-starter-training", "kernel_id": "18631132"}, {"ref": "ttahara/rerun-seti-e-t-volo-d1-baseline-training", "kernel_id": "18039880"}, {"ref": "ttahara/rerun-seti-e-t-volo-d1-baseline-inference", "kernel_id": "18107194"}, {"ref": "coldfir3/seti-dataset-generator-v1", "kernel_id": "18622984"}, {"ref": "urvishp80/pytorch-spatialattention-efficientnet-b1-training", "kernel_id": "18897592"}, {"ref": "eneszvo/seti-summary-nfnet-mixup-pretrained-models", "kernel_id": "18644926"}, {"ref": "ajax0564/seti-bl-256x256-tfrec-data", "kernel_id": "18617605"}, {"ref": "reighns/eda-seti", "kernel_id": "18962931"}, {"ref": "ligtfeather/pytorch-lightning-grid-mask-ranger-opt-w-b", "kernel_id": "18367242"}, {"ref": "ligtfeather/eca-nfnet-sam-opt-mixup-k-folds-w-b", "kernel_id": "18032217"}, {"ref": "vlomme/lb-0-980-efficientnet-b0-more-epoch", "kernel_id": "18595345"}, {"ref": "tomooinubushi/train-vs-test-lightgbm", "kernel_id": "18762068"}, {"ref": "tomooinubushi/folk-of-yet-another-leakage-lb0-995", "kernel_id": "18608945"}, {"ref": "manjunathns/seti-using-auto-encoder-tpu", "kernel_id": "18761852"}, {"ref": "woosungyoon/seti-kmean-clustering", "kernel_id": "18706458"}, {"ref": "mrigendraagrawal/old-data-vs-new-data", "kernel_id": "18635493"}, {"ref": "mikhailkuzmenkov/ensemble-of-two-nn-randomforest-and-catboost", "kernel_id": "18696024"}, {"ref": "qi0239/notebook902eacc060", "kernel_id": "18195258"}, {"ref": "h053473666/use-tensorflow-tpu-to-decode-npy-files", "kernel_id": "18349372"}, {"ref": "xjingd/one-stop-understanding-eda-efficientnet", "kernel_id": "18764093"}, {"ref": "xjingd/kfold-mixup-label-smoothing-cycliclr", "kernel_id": "18850827"}, {"ref": "xjingd/out-of-fold-vstack-labelsmoothing-cycliclr", "kernel_id": "18889626"}, {"ref": "vungocbinh/seti-breakthrough-listen-cnn", "kernel_id": "18223687"}, {"ref": "vungocbinh/seti-tensorflow-tfrec", "kernel_id": "18610122"}, {"ref": "brsdincer/seti-breakthrough-signal-analysis-educational", "kernel_id": "18405275"}, {"ref": "rhythmcam/leak-submission-lb-1-0", "kernel_id": "18498761"}, {"ref": "nakuuu/seti-bl-256x256-tfrec-data", "kernel_id": "18842668"}, {"ref": "titericz/simulated-target", "kernel_id": "19910731"}, {"ref": "swimmy/ensemble-for-seti-competition", "kernel_id": "19021245"}, {"ref": "swimmy/seti-learned-image-resizing", "kernel_id": "19356251"}, {"ref": "quincyqiang/signal-search-exploratory-data-analysis", "kernel_id": "19372091"}, {"ref": "coldfir3/ensemble-of-ensemble-of-ensemble-public-lb-0-99", "kernel_id": "19748395"}, {"ref": "vineethakkinapalli/seti-lir-nfnet", "kernel_id": "19445936"}, {"ref": "vineethakkinapalli/seti-final-ensemble", "kernel_id": "19798570"}, {"ref": "urvishp80/spatialattention-tf-efficientnetv2-b2-768-infer", "kernel_id": "19314414"}, {"ref": "urvishp80/attn-tf-efficientnet-b3-ap-768-3-channel", "kernel_id": "19503407"}, {"ref": "urvishp80/sa-tf-efficientnet-b3-ap-768-3-channel", "kernel_id": "19464335"}, {"ref": "shigengtian/get-gcs-path", "kernel_id": "19248217"}, {"ref": "ethanwharris/seti-meets-lightning-flash", "kernel_id": "19523813"}, {"ref": "shionhonda/seti-adversarial-validation", "kernel_id": "19746839"}, {"ref": "shionhonda/seti-visualization-of-domain-shift", "kernel_id": "19772060"}, {"ref": "shionhonda/seti-train-efficientnetb0-av", "kernel_id": "19773296"}, {"ref": "hirune924/2ndplace-solution", "kernel_id": "19858790"}, {"ref": "friedchips/magic-2-an-explanation", "kernel_id": "19888720"}, {"ref": "tanulsingh077/qishen-ha-alaska-implementation", "kernel_id": "19546843"}, {"ref": "kuroyuli/seti-learned-image-resizing-fold1", "kernel_id": "19693788"}, {"ref": "leventelippenszky/seti-learned-image-resizing-22-epochs", "kernel_id": "19725651"}, {"ref": "abebe9849/poor-baseline", "kernel_id": "19320624"}, {"ref": "tegzes/ensemble-of-ensemble-for-seti-competition", "kernel_id": "19377244"}, {"ref": "tegzes/seti-e-t-effnetb0baseline-7b9e8d", "kernel_id": "19556095"}, {"ref": "tegzes/seti-learned-image-resizing", "kernel_id": "19482843"}, {"ref": "kirderf/get-gs-name", "kernel_id": "19511946"}, {"ref": "jbomitchell/dragon-image-resizing", "kernel_id": "19582095"}, {"ref": "jbomitchell/monster-image-resizing", "kernel_id": "19471640"}, {"ref": "bryanthogerson/three-extraterrestrial-termite-colony-v0-1", "kernel_id": "19437600"}, {"ref": "davidfrid/alien-detect", "kernel_id": "19478973"}, {"ref": "zekun98/infer-mobilenetv3-fold0", "kernel_id": "19771800"}, {"ref": "zekun98/seti-learned-image-resizing-lr", "kernel_id": "19497302"}, {"ref": "dragonzhang/seti-learned-image-resizing", "kernel_id": "19451784"}, {"ref": "tatamikenn/image-cleaning-column-wise-normalization-knn", "kernel_id": "19892020"}, {"ref": "zekunn/seti-pretrain-effb1-fold0", "kernel_id": "19826292"}, {"ref": "ruifun2/seti-tfrecord", "kernel_id": "19387728"}, {"ref": "ruifun2/seti-tfrecord-v4", "kernel_id": "19451694"}, {"ref": "ruifun2/seti-tfrecord-v2", "kernel_id": "19450091"}, {"ref": "ruifun2/seti-tfrecord-v3", "kernel_id": "19450567"}, {"ref": "ruifun2/seti-tfrecord-v1", "kernel_id": "19448416"}, {"ref": "liuhaixu/ensemble-for-seti-competition-score-0-766", "kernel_id": "19678151"}, {"ref": "aristarhbfg/similar-images-in-train-and-test", "kernel_id": "19380248"}, {"ref": "nizado/seti-listen-toy-model-for-getting-started", "kernel_id": "19452820"}, {"ref": "badmiton/seti-e-t-eff-baseline", "kernel_id": "19834743"}, {"ref": "daicongxmu/ensemble-for-seti-competition-594df9", "kernel_id": "19783609"}, {"ref": "daicongxmu/smart-ensemble", "kernel_id": "19009638"}, {"ref": "takahiroyoshida012/ensemble-for-seti-competition-score-0-760", "kernel_id": "19555765"}, {"ref": "cdeotte/silver-medal-with-grad-cam-lb-0-780", "kernel_id": "20091169"}, {"ref": "ivanbaukin/seti-breakthrough-listen-efficientnet-b4-grad-cam", "kernel_id": "20111510"}, {"ref": "revzkaggle/seti-et-signal-search", "kernel_id": "21206071"}, {"ref": "kozodoi/mean-and-std-of-pet-photos", "kernel_id": "22263579"}, {"ref": "joshuaff/one-stop-efficent-net-albumentations", "kernel_id": "22637885"}, {"ref": "khushimehta1729/pls-work", "kernel_id": "25908441"}, {"ref": "anu332/resnet", "kernel_id": "26215378"}, {"ref": "kesavanr19mim10086/seti-alien-research-work", "kernel_id": "27572702"}, {"ref": "kesavanr19mim10086/seti-resnet", "kernel_id": "28409589"}, {"ref": "kesavanr19mim10086/seti-alien-research-paper-work", "kernel_id": "28409356"}, {"ref": "juntuowang/dann-baseline", "kernel_id": "31311351"}, {"ref": "anirudhg15/solving-a-finished-competition-seti-et-w-pytorch", "kernel_id": "39918008"}, {"ref": "ericyuan3/0-9-roc-auc-pytorch-trainer-vit-kfolds", "kernel_id": "46830642"}, {"ref": "cybensh/final-hope", "kernel_id": "63365642"}, {"ref": "larsmaiwald/seti-cnn", "kernel_id": "65909093"}, {"ref": "suyashviraaj/seti-bl-channelwise-alignment-tf-tpu", "kernel_id": "68540198"}, {"ref": "cuijiahang/work22", "kernel_id": "72452017"}, {"ref": "lilbagi/seti-tensorflow-efficientnet-train", "kernel_id": "83442436"}, {"ref": "lilbagi/seti-tensorflow-efficientnet-submission", "kernel_id": "85036838"}]}
{"competition_id": "23661", "kernels": [{"ref": "joocheol/notebook7133d06de7", "kernel_id": "12585470"}, {"ref": "yonseieomjihwan/randomforest-baseline-public-score-0-04940", "kernel_id": "12758276"}, {"ref": "yonseieomjihwan/1d-cnn-baseline", "kernel_id": "12758425"}, {"ref": "yonseieomjihwan/voting-regressor-baseline-rf-et-lightgbm", "kernel_id": "12758931"}, {"ref": "yonseieomjihwan/basic-eda-regression-to-classification", "kernel_id": "13193484"}, {"ref": "jeongsujeong/notebook7e6667b40d-cp1", "kernel_id": "13657692"}, {"ref": "windowheejae2001/notebooke2", "kernel_id": "13726336"}]}
{"competition_id": "23662", "kernels": [{"ref": "morokei/competition2a", "kernel_id": "12566977"}, {"ref": "melnikoffoleg/melnikov-oleg-kaggle-p2", "kernel_id": "12941144"}]}
{"competition_id": "23665", "kernels": []}
{"competition_id": "23674", "kernels": []}
{"competition_id": "23675", "kernels": []}
{"competition_id": "23678", "kernels": []}
{"competition_id": "23679", "kernels": [{"ref": "mannybhidya/notebook9ed235fea1", "kernel_id": "12580672"}]}
{"competition_id": "23682", "kernels": []}
{"competition_id": "23684", "kernels": [{"ref": "sanjeevtgeorge/2020-classification-challenge", "kernel_id": "12612891"}, {"ref": "adityarc19/2020-clf-data-challenge", "kernel_id": "13137088"}, {"ref": "suramrk/2020dataclass-challenge", "kernel_id": "14348620"}, {"ref": "rocklen/2020-classification-data-challenge", "kernel_id": "25306271"}, {"ref": "rocklen/2020-classification-data-challenge-with-nn", "kernel_id": "27197111"}, {"ref": "sunnydial/extratreesclassifier-optuna", "kernel_id": "30245509"}, {"ref": "pradeepsapparapu/umass-dartmouth", "kernel_id": "37611786"}, {"ref": "chustevenmn/ipml-1", "kernel_id": "41427163"}, {"ref": "minusheart/2020-classification-challenge-using-decision-tree", "kernel_id": "41491585"}, {"ref": "e24091116/notebook803d69259e", "kernel_id": "41494041"}, {"ref": "e24091116/notebook1583c413cb", "kernel_id": "41490002"}, {"ref": "h34104010/2020-classification-data-challenge-with-nn-and-acc", "kernel_id": "41499250"}, {"ref": "h34104010/2020-classification-data-challenge-with-nn-325d64", "kernel_id": "41464023"}]}
{"competition_id": "23685", "kernels": []}
{"competition_id": "23686", "kernels": []}
{"competition_id": "23700", "kernels": []}
{"competition_id": "23710", "kernels": []}
{"competition_id": "23717", "kernels": []}
{"competition_id": "23721", "kernels": []}
{"competition_id": "23724", "kernels": [{"ref": "antgoldbloom/most-popular-data-science-ides", "kernel_id": "6632491"}, {"ref": "iamleonie/trends-in-2020-with-advice-from-top-kagglers", "kernel_id": "11713528"}, {"ref": "sinchanbhattacharya/people-get-young-as-they-grow-old", "kernel_id": "12985602"}, {"ref": "paultimothymooney/2020-kaggle-data-science-machine-learning-survey", "kernel_id": "12980632"}, {"ref": "paultimothymooney/responses-from-job-title-data-scientist-only", "kernel_id": "12980363"}, {"ref": "paultimothymooney/responses-from-data-scientists-working-in-the-usa", "kernel_id": "12980372"}, {"ref": "docxian/2020-kaggle-survey-multiple-choice-correlations", "kernel_id": "12991255"}, {"ref": "arbazkhan971/indians-vs-world", "kernel_id": "12982978"}, {"ref": "vbmokin/kaggle-ml-ds-survey-world-and-ua-2017-2020", "kernel_id": "12984106"}, {"ref": "adrianromano/indonesia-southeast-asia-vs-rest-of-the-world", "kernel_id": "12994765"}, {"ref": "sharif485/a-tale-of-bangladeshi-kagglers", "kernel_id": "12990423"}, {"ref": "depmountaineer/kaggle-survey-2020-overview", "kernel_id": "12988109"}, {"ref": "michau96/education-level-affects-data-analysis", "kernel_id": "12981345"}, {"ref": "mariapushkareva/storytelling-with-data-kaggle-survey-2020", "kernel_id": "12836149"}, {"ref": "natwers/survey-2020", "kernel_id": "12997461"}, {"ref": "subinium/tips-for-making-the-informative-visualization", "kernel_id": "12792578"}, {"ref": "domizianostingi/kaggle-users-around-the-world", "kernel_id": "12984040"}, {"ref": "domizianostingi/kaggle-survey-analysis", "kernel_id": "12992228"}, {"ref": "mpwolke/pandemics-survey-methodology", "kernel_id": "12993375"}, {"ref": "mpwolke/what-s-up-kagglers", "kernel_id": "12981411"}, {"ref": "ptfrwrd/masters-on-kaggle-storytelling-by-hypothesis", "kernel_id": "12982505"}, {"ref": "andradaolteanu/treasure-hunt-what-gives-to-be-really-good", "kernel_id": "12780142"}, {"ref": "louise2001/girls-rock-data-science", "kernel_id": "12996378"}, {"ref": "jammasathwik/starter-code-only-notebook-data-viz-and-analysis", "kernel_id": "12983310"}, {"ref": "maksymshkliarevskyi/kaggle-ml-ds-survey-relations-change-in-time", "kernel_id": "12981515"}, {"ref": "frankmollard/kaggle-2020-survey-eda", "kernel_id": "12997266"}, {"ref": "sarthak1799/kaggle-2020-survey-analysis", "kernel_id": "12992682"}, {"ref": "rawwar/eda-pandas-profile-based-conclusions", "kernel_id": "12980692"}, {"ref": "jaidevd/ds-survey-2020-india-and-the-world", "kernel_id": "13045443"}, {"ref": "pattudor/trends-in-the-roles-of-kagglers-2017-2020", "kernel_id": "13109854"}, {"ref": "doosrijanam/kaggle-survey-visualization-comparing-quality", "kernel_id": "13173067"}, {"ref": "harisyammnv/kaggle-survey-using-pyecharts", "kernel_id": "13354260"}, {"ref": "nikolay727/data-science-practitioners-segmentation", "kernel_id": "13041384"}, {"ref": "dwin183287/kagglers-seen-by-continents", "kernel_id": "13023824"}, {"ref": "laxmsun/an-analysis-of-kaggle-surveys-2018-2020", "kernel_id": "13922129"}, {"ref": "mmulchandani/r-prevalence-in-india-vis-a-vis-python", "kernel_id": "13854448"}, {"ref": "rams143/kaggle-survey-analylsis", "kernel_id": "13452279"}, {"ref": "subbuvolvosekar/kaggle-2020-survey-analysis-eda", "kernel_id": "13142514"}, {"ref": "labdmitriy/survey-flow-exploration", "kernel_id": "13203128"}, {"ref": "ushakota/indian-women-giving-up-for-caregiving", "kernel_id": "13378064"}, {"ref": "anujmenta/simple-data-cleaning-for-multiple-column-data", "kernel_id": "13868049"}, {"ref": "anujmenta/how-cloud-y-is-data-science", "kernel_id": "13863963"}, {"ref": "gungz87/indonesians-love-kaggle", "kernel_id": "13167009"}, {"ref": "parulpandey/the-emergence-of-automl", "kernel_id": "13006226"}, {"ref": "syllap/the-unusual-suspects-2020", "kernel_id": "13453082"}, {"ref": "utkarshphirke/be-on-the-radar-visualization-of-job-profiles", "kernel_id": "13814180"}, {"ref": "datahobbit/eda-of-kaggle-data-science-survey-2020-by-country", "kernel_id": "13723099"}, {"ref": "farazrahman/kagglers-from-africa-for-africa", "kernel_id": "13770321"}, {"ref": "shivendra90/eda-zooming-in-on-the-python-community", "kernel_id": "13445577"}, {"ref": "kamaljain77/kaggle-2020-ml-survey-visualization-and-analysis", "kernel_id": "13998974"}, {"ref": "mazalgarab/fork-of-most-wanted-data-scientists", "kernel_id": "13544820"}, {"ref": "imuhammad/notebook4c9acc4b57", "kernel_id": "13460202"}, {"ref": "imuhammad/we-are-the-99-who-are-the-1", "kernel_id": "13083863"}, {"ref": "navkav/analysis-of-2020-kaggle-data-science-survey", "kernel_id": "13995305"}, {"ref": "robikscube/kaggle-survey-2020-the-networks-that-bind-us", "kernel_id": "13105889"}, {"ref": "dhimananubhav/4-years-of-data-scientist-s-survey-in-germany", "kernel_id": "13019800"}, {"ref": "nanomathias/how-unique-are-you-on-kaggle-get-your-score-here", "kernel_id": "13014530"}, {"ref": "chris36/kaggle-survey-1d-eda", "kernel_id": "13271995"}, {"ref": "chris36/kagglers-from-india", "kernel_id": "13882009"}, {"ref": "meaghenv/what-are-the-ultimate-skills-to-have", "kernel_id": "13762742"}, {"ref": "artgor/python-and-r-are-the-users-that-different", "kernel_id": "13075713"}, {"ref": "ramvuppuluri/state-of-data-science-and-machine-learning-2020", "kernel_id": "13860889"}, {"ref": "isaienkov/2020-kaggle-ml-ds-survey-full-overview", "kernel_id": "13001528"}, {"ref": "hsinyi/kaggle-ml-survey-asean", "kernel_id": "13120509"}, {"ref": "viveknest/how-to-make-money-in-2021", "kernel_id": "13390336"}, {"ref": "gpreda/data-scientists-in-2020-kaggle-survey", "kernel_id": "13199944"}, {"ref": "gpreda/is-romania-on-the-kaggle-map", "kernel_id": "13196570"}, {"ref": "piterfm/kaggle-ml-ds-survey-2020-who-are-kagglers", "kernel_id": "13005581"}, {"ref": "maryszmary/natural-language-processing-vs-computer-vision", "kernel_id": "13455042"}, {"ref": "lrsowmya/kaggle2020survey", "kernel_id": "13170905"}, {"ref": "lplenka/indian-kagglers-over-time", "kernel_id": "13071467"}, {"ref": "anu0012/exploratory-data-analysis-and-visualization", "kernel_id": "13063121"}, {"ref": "marissafernandes/women-and-non-binary-users-on-kaggle", "kernel_id": "13401403"}, {"ref": "mohuahaldar/kaggle-survey-eda", "kernel_id": "13462946"}, {"ref": "alaeddineayadi/tunisia-vs-the-world-16-comparisons-wip", "kernel_id": "13365227"}, {"ref": "dianarusu/handling-ml-methods-kaggle-2020-survey", "kernel_id": "13265949"}, {"ref": "markholland/factors-that-lead-to-high-salary", "kernel_id": "13858080"}, {"ref": "stormchaser/ml-ds-survey-story", "kernel_id": "13392513"}, {"ref": "gsdeepakkumar/tensor-p-r-ocessed-a-look-at-tpu-responses", "kernel_id": "13188058"}, {"ref": "niteshhalai/2020-kaggle-ml-ds-survey-visualisations", "kernel_id": "13431403"}, {"ref": "lucabasa/gender-gap-in-the-kaggle-community", "kernel_id": "13291855"}, {"ref": "seriousran/eda-for-languages-frameworks-by-countries", "kernel_id": "13229803"}, {"ref": "efehandanisman/which-kagglers-earn-more-than-average-citizens", "kernel_id": "13037403"}, {"ref": "aarthialagammai/tools-that-rules", "kernel_id": "13280458"}, {"ref": "corazzon/how-to-use-pandas-filter-in-survey-eda", "kernel_id": "13590336"}, {"ref": "katiej277/is-r-a-dying-language", "kernel_id": "13075021"}, {"ref": "harveenchadha/how-is-india-doing-in-ai-the-nation-wants-to-know", "kernel_id": "13181341"}, {"ref": "harveenchadha/merging-all-historical-survey-data-2017-2020", "kernel_id": "13402746"}, {"ref": "amr009/kaggle-vs-morocco-state-of-dev-surveys", "kernel_id": "13834865"}, {"ref": "vikashrajluhaniwal/automated-insights-generation-kaggle-2020-survey", "kernel_id": "13076443"}, {"ref": "nitishabharathi/data-science-in-the-cloud-who-wins-the-cloud-war", "kernel_id": "13597958"}, {"ref": "docxian/interactive-visualizations-using-treemaps", "kernel_id": "13063302"}, {"ref": "uyangas/becoming-a-data-scientist", "kernel_id": "13078489"}, {"ref": "nadaalay/exploring-adopting-ml-in-companies", "kernel_id": "13749617"}, {"ref": "mohneesh7/key-insights-for-important-questions-using-seaborn", "kernel_id": "13298361"}, {"ref": "josemauricioneuro/kaggle-the-difference-between-the-genders", "kernel_id": "13657345"}, {"ref": "ananthu017/is-data-science-still-in-demand", "kernel_id": "13109155"}, {"ref": "matheuscheim/kaggle2020survey-completeanalysis", "kernel_id": "13858357"}, {"ref": "thedatabeast/the-rise-of-data-science-interest-in-india", "kernel_id": "13493044"}, {"ref": "shashwatwork/guide-to-statistical-hypothesis-tests-in-python", "kernel_id": "13703414"}, {"ref": "andresionek/one-chart-many-answers-kaggle-surveys-in-slopes", "kernel_id": "13860086"}, {"ref": "chekoduadarsh/get-a-job-in-data-science-eda", "kernel_id": "13324610"}, {"ref": "nicoleyzh/don-t-be-left-behind-data-science-literacy", "kernel_id": "13814171"}, {"ref": "madagasygirl/machine-learning-usage-by-research-scientists", "kernel_id": "13941028"}, {"ref": "biswaup/ds-insights-upasana", "kernel_id": "13684365"}, {"ref": "dinasinclair/hot-trends-in-beginner-programming", "kernel_id": "13352838"}, {"ref": "ugonnas/notebookee7a62bf59", "kernel_id": "13064384"}, {"ref": "altprof/slow-steady-2020-ver", "kernel_id": "13696258"}, {"ref": "sonmou/more-female-statisticians-than-males-code-trends", "kernel_id": "13379772"}, {"ref": "ranggarppb/will-these-tools-be-booming-and-worth-to-learn", "kernel_id": "13256784"}, {"ref": "tusharkale/the-emergence-rise-of-automated-machine-learning", "kernel_id": "13884618"}, {"ref": "kathca/baby-boomers-of-kaggle", "kernel_id": "13855762"}, {"ref": "shival16/2020-kaggle-ml-ds-survey-generation-behavior", "kernel_id": "13693231"}, {"ref": "henry090/beautiful-structured-exploration-with-highcharts", "kernel_id": "13399737"}, {"ref": "milobele/arabic-vs", "kernel_id": "13394589"}, {"ref": "denizyigit/kaggle-survey-2020", "kernel_id": "13328862"}, {"ref": "komalkhetlani/whatcategoryofpeoplespendmoretimeonkaggle", "kernel_id": "13719276"}, {"ref": "sharif485/what-kaggle-is-asking-over-the-time-2018-2020", "kernel_id": "13002316"}, {"ref": "aagghh/animated-plots-and-kaggle-surveys", "kernel_id": "13793600"}, {"ref": "bhallaakshit/who-are-they-a-comprehensive-analysis", "kernel_id": "13479813"}, {"ref": "samir95/analyzing-different-groups", "kernel_id": "13059456"}, {"ref": "samir95/data-scientists-vs-ml-engineers", "kernel_id": "13096239"}, {"ref": "abuton/kaggle-survey-storytelling-exploring-time-spent", "kernel_id": "13897509"}, {"ref": "kcory123/data-insecurity", "kernel_id": "13993239"}, {"ref": "muthu1698/2020-kaggle-ml-ds-survey", "kernel_id": "13009244"}, {"ref": "agnesa/which-countries-spent-more-time-on-kaggle-survey", "kernel_id": "13846932"}, {"ref": "jagdmir/pie-charts-countplots", "kernel_id": "13017292"}, {"ref": "synapsizeus/the-skillset-gap-between-data-scientist-analyst", "kernel_id": "13967480"}, {"ref": "gaathaa/kagglers-aging-like-wine", "kernel_id": "13335494"}, {"ref": "gaathaa/quest-of-ds-shifting-sands-of-time-wip", "kernel_id": "13276093"}, {"ref": "rajeshjnv/data-science-survey-visualization", "kernel_id": "13768861"}, {"ref": "mur418/skills-tools-and-credentials-essential-for-ds", "kernel_id": "13565043"}, {"ref": "lohaargali/from-engineering-to-data-science", "kernel_id": "13975063"}, {"ref": "haakakak/tools-of-the-trade-a-short-history", "kernel_id": "13973413"}, {"ref": "haakakak/the-kaggler-s-toolkit-over-time", "kernel_id": "13311743"}, {"ref": "eudmar/kaggle-2020-exploratory-analysis", "kernel_id": "13090219"}, {"ref": "ak1982/2020-kaggle-ml-ds-survey", "kernel_id": "13105820"}, {"ref": "shyambhu/into-the-communities-of-kaggle", "kernel_id": "13678808"}, {"ref": "siddhantsadangi/kaggle-2020-your-country-vs-the-world", "kernel_id": "13018991"}, {"ref": "siddhantsadangi/kaggle-2020-india-vs-the-world-all-questions", "kernel_id": "13483712"}, {"ref": "siddhantsadangi/kaggle-2020-usa-vs-the-world-all-questions", "kernel_id": "13483765"}, {"ref": "khotijahs1/visualization-and-analysis-kaggle-survey-2020", "kernel_id": "13376563"}, {"ref": "chandramanaha/kyc-know-your-community", "kernel_id": "13003498"}, {"ref": "desareca/kaggle-survey-2020-analisys-by-region", "kernel_id": "13908584"}, {"ref": "ayhampar/a-study-of-respondents-gender-distribution", "kernel_id": "13062185"}, {"ref": "syahrulhamdani/how-you-should-learn-data-science", "kernel_id": "13154285"}, {"ref": "harininarasimhan/helping-data-scientists-to-be-competitive", "kernel_id": "13592442"}, {"ref": "neomatrix369/kaggle-machine-learning-data-science-data-prep", "kernel_id": "13948248"}, {"ref": "tpmeli/kaggle-questionere-csv-cleaning", "kernel_id": "13045851"}, {"ref": "tpmeli/starter-cleaned-csv-2020-kaggle-ml", "kernel_id": "13047299"}, {"ref": "tpmeli/barplots-of-all-questions-exploratory", "kernel_id": "13052276"}, {"ref": "intandea/profiling-world-s-current-data-practitioners", "kernel_id": "13742775"}, {"ref": "intandea/so-you-want-to-work-with-data", "kernel_id": "13588491"}, {"ref": "subinium/kaggle-2020-visualization-analysis", "kernel_id": "13029031"}, {"ref": "sachin1153/analysing-prog-lang-based-on-age-and-degree", "kernel_id": "13222298"}, {"ref": "waelr1985/2020-kaggle-ds-ml-survey", "kernel_id": "13387486"}, {"ref": "silkymis/insights-on-working-professional-preferences", "kernel_id": "13268863"}, {"ref": "mojopriest/who-s-not-here-kaggle-user-survey-2020", "kernel_id": "13531445"}, {"ref": "mohitksharma/which-country-is-leading-the-data-science-race", "kernel_id": "13086153"}, {"ref": "petracarrion/tips-for-making-the-informative-visualization", "kernel_id": "13799170"}, {"ref": "latong/did-you-work-on-a-kaggle-project-today", "kernel_id": "13311963"}, {"ref": "manthan987patel/interesting-insights-of-ml-ds-survey-2020", "kernel_id": "13936762"}, {"ref": "melissarajaram/educational-platforms-university-outliers", "kernel_id": "13548473"}, {"ref": "gorewa/gender-gap", "kernel_id": "13498099"}, {"ref": "zinovadr/kaggle-survey-2020-why-you-are-here", "kernel_id": "13328651"}, {"ref": "mpwolke/gender-gap-image", "kernel_id": "13114260"}, {"ref": "mpwolke/autoanswered-kaggle-survey-by-siddhant-sadangi", "kernel_id": "13492649"}, {"ref": "cdisario/argentina-small-eda", "kernel_id": "13740047"}, {"ref": "sukanthen/decoding-kaggle-survey-2020", "kernel_id": "13824190"}, {"ref": "mateuszz5b/an-analysis-of-gender-in-the-data-science-industry", "kernel_id": "13988448"}, {"ref": "kamleshshimpi78/university-degree-structure-story-ml-ds-survey", "kernel_id": "13233672"}, {"ref": "drcapa/kaggle-ml-ds-survey-2017-2020-eda", "kernel_id": "13289181"}, {"ref": "drcapa/2020-kaggle-ml-ds-survey-eda", "kernel_id": "13265009"}, {"ref": "hyunkic/south-korea-home-to-samsung-but-few-ai-experts", "kernel_id": "13933598"}, {"ref": "tarekghajary/analysis-survey-2020", "kernel_id": "13623666"}, {"ref": "accountstatus/competition-data-analysis-4", "kernel_id": "13421636"}, {"ref": "koushikkumarl/role-of-gen-z-in-ds-and-ml", "kernel_id": "13934216"}, {"ref": "mominaamer/2020-kaggle-machine-learning-data-science-survey", "kernel_id": "13876116"}, {"ref": "rishabh6377/ml-ds-survey-analysis", "kernel_id": "13267557"}, {"ref": "bhatvikas/kaggle-2020-visualization-analysis", "kernel_id": "13079559"}, {"ref": "priyankameena/data-science-community-s-favourite-media-source", "kernel_id": "13365143"}, {"ref": "andreshg/eda-beginner-to-expert-plotly", "kernel_id": "13660273"}, {"ref": "amrev15/insights-of-datascience-landscape-kaggle-surveys", "kernel_id": "13813934"}, {"ref": "omareltouny/afro-arab-data-science-analysis", "kernel_id": "13533863"}, {"ref": "caesarlupum/kaggle-2020-brazil", "kernel_id": "13046090"}, {"ref": "kaggei/kagglers-profiles", "kernel_id": "13971377"}, {"ref": "kavisekar/trust-the-magic-of-new-beginning", "kernel_id": "13305025"}, {"ref": "kavisekar/trust-the-magic-of-new-beginning-updated", "kernel_id": "13527448"}, {"ref": "ruchit777/kaggle-survey-analysis", "kernel_id": "13542829"}, {"ref": "monibalint/programmer-or-data-professional-what-comes-first", "kernel_id": "13411826"}, {"ref": "rajsengo/initial-years-in-data-science-journey", "kernel_id": "13661664"}, {"ref": "krishna1997gopal/do-you-feel-data-science-is-growing-2019-2020", "kernel_id": "13468825"}, {"ref": "krishna1997gopal/male-and-female-analysis", "kernel_id": "13003172"}, {"ref": "zhandosainabek/university-degree-necessary-in-data-science", "kernel_id": "13977716"}, {"ref": "bhavikjain/2020-kaggle-ml-ds-survey-analysis", "kernel_id": "13425479"}, {"ref": "chawla201/scientists-vs-analysts", "kernel_id": "13532538"}, {"ref": "chawla201/2020-kaggle-ml-ds-survey-analysis", "kernel_id": "13086030"}, {"ref": "nayuts/how-can-kaggler-step-up-to-next-level", "kernel_id": "13977949"}, {"ref": "shikhnu/kaggle-survey-2020-eda", "kernel_id": "13003940"}, {"ref": "xiasummer/survey2020-kagglers-in-china-usa-overall", "kernel_id": "13400907"}, {"ref": "songseungwon/analysis-kaggle-users", "kernel_id": "13044885"}, {"ref": "anshulverma2207/kaggle-data-survey-2020", "kernel_id": "13667814"}, {"ref": "dannygarcia/employed-data-professionals-and-gender-differences", "kernel_id": "13457364"}, {"ref": "walkiriarvieira/using-ml-to-identify-ds-profiles", "kernel_id": "13924528"}, {"ref": "aayushmishra1512/kaggle-ml-ds-survey-detail-eda", "kernel_id": "13379607"}, {"ref": "tomoshimo/kaggle-survey2020", "kernel_id": "13585187"}, {"ref": "sumanthhabib/2020-kaggle-ml-ds-survey", "kernel_id": "13144878"}, {"ref": "fireballbyedimyrnmom/latinas-on-ml-and-data-science", "kernel_id": "13200932"}, {"ref": "raviteja124536/kaggle-survey", "kernel_id": "13382423"}, {"ref": "eakadkar/fork-of-notebookd8caaef1e5", "kernel_id": "13350493"}, {"ref": "eakadkar/data-analysis-on-survey", "kernel_id": "13350307"}, {"ref": "hwangchanghyun/ks-about-all-of-question-with-matplotlib", "kernel_id": "13457076"}, {"ref": "claudiatang/gender-difference-on-kaggle", "kernel_id": "13514005"}, {"ref": "gauravbisht005/2020-kaggle-ml-and-ds-survey", "kernel_id": "13036308"}, {"ref": "siddheshkadam/kagglesurvey2020-eda-part1", "kernel_id": "13080518"}, {"ref": "siddheshkadam/kagglesurvey2020-eda-part2", "kernel_id": "13525576"}, {"ref": "udita3996/basic-countplot-eda", "kernel_id": "13558576"}, {"ref": "damoonshahhosseini/brainstorming", "kernel_id": "13126547"}, {"ref": "carloseduardosilvabh/kaggle-2020-ml-survey-analysis", "kernel_id": "13065692"}, {"ref": "tulipfora/kaggle-survey-story-2020", "kernel_id": "13751419"}, {"ref": "mohitnagarkoti/coding-education-and-language-dilema-solved", "kernel_id": "13582636"}, {"ref": "harikrishna9/2020-kaggle-survey-analysis", "kernel_id": "13703391"}, {"ref": "dhuang718/clustering-kaggle-s-user-base", "kernel_id": "13945334"}, {"ref": "zainahmad/data-science-in-india-part-2", "kernel_id": "13719253"}, {"ref": "zainahmad/data-science-in-india-part-1", "kernel_id": "13168946"}, {"ref": "ioanang/2020-different-jobs-or-different-titles", "kernel_id": "13748125"}, {"ref": "cauthur/kaggle-survey-visualization", "kernel_id": "13073334"}, {"ref": "sahilpatni95/eda-kaggle-survey-2020", "kernel_id": "13525270"}, {"ref": "jswxhd/how-can-a-student-become-a-data-scientist", "kernel_id": "13785758"}, {"ref": "yerramvarun/plotly-kaggle-ml-ds-survey-2020-eda", "kernel_id": "13934607"}, {"ref": "gabrielpokorny/gender-gap-in-kaggle-survey-2020", "kernel_id": "13734708"}, {"ref": "mandarkulkarnipune/kaggle-ml-ds-survey-analysis", "kernel_id": "13974710"}, {"ref": "alexeisavin/plotting-trying-to-analyze-and-find-corr", "kernel_id": "13989916"}, {"ref": "pg1007/kaggle-eda", "kernel_id": "13304463"}, {"ref": "baiyanren/how-about-working-with-data-after-completing-phd", "kernel_id": "13234715"}, {"ref": "programmingbhau/kaggle-ds-ml-2020", "kernel_id": "13062567"}, {"ref": "soumyasunayana/kaggle-survey-2020-eda-soumya", "kernel_id": "13559468"}, {"ref": "josephassaker/gender-pay-gap-a-myth-or-a-reality", "kernel_id": "13977409"}, {"ref": "dawnsepehr/analysis-of-the-usage-of-bayesian-approaches", "kernel_id": "13910690"}, {"ref": "shellymathur/enthusiast-to-data-professional-what-changes", "kernel_id": "13903561"}, {"ref": "hongsean/2020-kaggle-survey-global-vs-korea", "kernel_id": "13465337"}, {"ref": "ayushpandey1/pytorch-vs-tensorflow-in-data-science", "kernel_id": "13087128"}, {"ref": "debarshichanda/indian-students-plotly-visualization", "kernel_id": "13864578"}, {"ref": "chandrylpaternetony/warning-outlier-identification", "kernel_id": "13860622"}, {"ref": "chandrylpaternetony/story-ai-expert-vs-novice-technical-views", "kernel_id": "13872619"}, {"ref": "aduaanuoluwapo/generational-impacts-in-ds-and-ml", "kernel_id": "13836785"}, {"ref": "aeryss/vietnamese-ml-career-on-kaggle-2020", "kernel_id": "13047314"}, {"ref": "patrickgomes/how-to-plot-multiple-graphs-using-for-loop-easy", "kernel_id": "13795835"}, {"ref": "priyeshmehta/classifying-students-learning-from-experts-in-ds", "kernel_id": "13753859"}, {"ref": "padmanabhabanerjee/know-your-fellow-kagglers-2020-survey", "kernel_id": "13076931"}, {"ref": "soraka/data-visualization-turkish-kaggle-users", "kernel_id": "13729148"}, {"ref": "chanikyaprakash/kaggle-2020-report-servey", "kernel_id": "13986698"}, {"ref": "arnaudjacquin/unemployed-data-scientists-2020", "kernel_id": "13610241"}, {"ref": "sinatavakolibanizi/kagglers-of-middle-east-is-oil-forgotten", "kernel_id": "13556457"}, {"ref": "umaojha/role-of-women-as-a-datascientist", "kernel_id": "13256503"}, {"ref": "lixintanltan/2020-ds-ml", "kernel_id": "13552807"}, {"ref": "leritmwadanladi/kaggle-competition-2020-survey", "kernel_id": "13090089"}, {"ref": "joanyliu/students-data-scientists-software-engineers", "kernel_id": "13942462"}, {"ref": "kevinnolasco/a-guide-to-becoming-a-data-scientist-in-the-us", "kernel_id": "13820089"}, {"ref": "deemeh/dm-kaggle-survey-2020", "kernel_id": "13237223"}, {"ref": "sejalkshirsagar/indian-ml-ds-enthusiasts-2020", "kernel_id": "13148370"}, {"ref": "orhankaramancode/interactive-visualization-of-ds-community-in-2020", "kernel_id": "13148167"}, {"ref": "jithinprakashk/jps-notebook", "kernel_id": "13077720"}, {"ref": "alitout/kaggle-survey", "kernel_id": "13996814"}, {"ref": "geetanshmahajan/learning-points-for-budding-data-scientists", "kernel_id": "13727709"}, {"ref": "julianusugaortiz/what-makes-you-use-the-technologies-you-use", "kernel_id": "13383513"}, {"ref": "raunakingcoder/today-the-underdogs-tomorrow-the-challengers", "kernel_id": "13229624"}, {"ref": "adityajha1504/kaggle-vs-colab-clash-of-brothers", "kernel_id": "13084014"}, {"ref": "japandata509/data-visualization-about-japanese-kagglers", "kernel_id": "13507198"}, {"ref": "mathiashoelzer/if-wishes-were-horses", "kernel_id": "13922810"}, {"ref": "sahilmaheshwari/kaggle-s-story-through-the-recent-years", "kernel_id": "13120724"}, {"ref": "jennifercrockett/a-heatmap-roadmap-to-your-dream-job", "kernel_id": "13006186"}, {"ref": "moomalqureshi/gender-based-analysis-for-pakistan-vs-the-world", "kernel_id": "13148205"}, {"ref": "foolofatook/journey-into-the-data-science-industry", "kernel_id": "13135153"}, {"ref": "ruichenyang/kaggle-survey-is-biased-but-what-we-learned", "kernel_id": "13608180"}, {"ref": "romannaumov/portrait-of-a-successful-kaggler", "kernel_id": "13410648"}, {"ref": "josmaxbarrios/2020-kaggle-ml-ds-survey", "kernel_id": "13433831"}, {"ref": "alexanderkhachikyan/amazing-adventure", "kernel_id": "13784031"}, {"ref": "saurabhjoshi24/eda-kaggle-survey", "kernel_id": "13727181"}, {"ref": "ahmedatta/who-said-data-science-is-boring", "kernel_id": "13217705"}, {"ref": "sergeykryukovv/better-than-gold", "kernel_id": "13973834"}, {"ref": "laithadi/how-to-become-a-part-of-the-top-6-and-1-of-dat", "kernel_id": "13862357"}, {"ref": "mansi75/plotly-over-seaborn-for-visualization", "kernel_id": "13828072"}, {"ref": "mansi75/rise-of-white-collar-outsourcing", "kernel_id": "13811296"}, {"ref": "reakalampaliki/learning-from-kagglers-2020", "kernel_id": "13433789"}, {"ref": "joaopereiradsantos/are-you-too-old-for-data-science", "kernel_id": "13248007"}, {"ref": "mohamedbastawi/kaggle-survey-2020", "kernel_id": "13935700"}, {"ref": "aa3aa3/kaggleml", "kernel_id": "13266512"}, {"ref": "mahmoudalaa01010101/kaggle-2020", "kernel_id": "13402009"}, {"ref": "kingabzpro/university-degree-necessary-in-data-science", "kernel_id": "13099740"}, {"ref": "darrenljw/getting-started-in-data-science", "kernel_id": "13717646"}, {"ref": "mohdsohelqureshi/growth-of-tools-products-platforms-in-2022", "kernel_id": "13110740"}, {"ref": "sootersaalu/a-rising-tide-ds-and-ml-in-nigeria", "kernel_id": "13762805"}, {"ref": "bryanvaldivia/data-visualization-kaggle-survey-2020", "kernel_id": "13711174"}, {"ref": "loycelorenzo/supporting-our-future-data-scientists", "kernel_id": "13066970"}, {"ref": "tymonhuchla/undergraduate-employment", "kernel_id": "13075820"}, {"ref": "winternguyen/future-requirements-of-data-analytic-jobs", "kernel_id": "13331241"}, {"ref": "winternguyen/skills-experience-for-data-analytic-jobs", "kernel_id": "13298054"}, {"ref": "winternguyen/data-analytic-jobs-and-education-level", "kernel_id": "13209151"}, {"ref": "mierayarotine/kaggle-2020-survey-employed-subset", "kernel_id": "13338982"}, {"ref": "yuantao2020/how-many-tools-do-we-need-to-know-in-data-science", "kernel_id": "13206023"}, {"ref": "muhammadosama252/the-story-of-degree-and-title", "kernel_id": "13775324"}, {"ref": "furkanko/who-are-we", "kernel_id": "13321543"}, {"ref": "vigilantgiggle/anybody-can-do-data-science", "kernel_id": "13734548"}, {"ref": "godina/kagglesurvey2020", "kernel_id": "13228715"}, {"ref": "iamdylan/survey-visualization-analysis", "kernel_id": "13973118"}, {"ref": "thruptirajgowda/data-is-gem", "kernel_id": "13962488"}, {"ref": "himanshutripathi/kaggle-ml-ds-2020", "kernel_id": "13334258"}, {"ref": "yanamal/who-is-using-automl-and-is-that-good", "kernel_id": "13268409"}, {"ref": "waleedmahmoudramdan/kaggle", "kernel_id": "13960661"}, {"ref": "sakshibhoir/kaggle-survey", "kernel_id": "13957305"}, {"ref": "singaml/cloud-data-science-tool-kit-by-ml-experts", "kernel_id": "13805959"}, {"ref": "singaml/perception-of-usa-v-india-kagglers", "kernel_id": "13196565"}, {"ref": "paulchen88/improve-to-a-higher-compensation-level", "kernel_id": "13676767"}, {"ref": "kaushal200/kagglesurvey-by-kaushal200", "kernel_id": "13975749"}, {"ref": "zeiragor/following-the-money", "kernel_id": "13473719"}, {"ref": "rahulmumbai/how-to-make-money-in-2021", "kernel_id": "13427471"}, {"ref": "hkpaul2020/2020-kaggle-ml-ds-survey-eda", "kernel_id": "13529191"}, {"ref": "viteshkakadia/kaggle-s-story-through-the-recent-years", "kernel_id": "13529446"}, {"ref": "brettlines/kaggle-ml-survey-2017-20-kyc-know-your-community", "kernel_id": "13529555"}, {"ref": "arnavr/is-getting-a-masters-degree-worth-it", "kernel_id": "13598758"}, {"ref": "caiochacon/an-introduction-to-data-science-world", "kernel_id": "13970422"}, {"ref": "sivakarthi/eda-of-kaggle-data-science-survey-2020-by-country", "kernel_id": "13732095"}, {"ref": "jazzyquark/animated-plots-and-kaggle-surveys", "kernel_id": "13799982"}, {"ref": "nickjain9/data-science-enthusiasm-all-over-the-world", "kernel_id": "13964128"}, {"ref": "jacobbarrow/notebookf9bb3e0f1c", "kernel_id": "13967024"}, {"ref": "writerkmwade/top-10-ml-toolkits-to-make-you-an-attractive-hire", "kernel_id": "13972321"}, {"ref": "anniechen0/gender-pay-gap-for-2020-us-kagglers", "kernel_id": "14015396"}, {"ref": "neema247278/india-vs-usa-data-science-survey-2018-2020", "kernel_id": "14037880"}, {"ref": "sofiapignataro/the-dwight-effect-in-data-science", "kernel_id": "14048949"}, {"ref": "vivekam101/job-markets-for-datascience-aspirants", "kernel_id": "14855469"}, {"ref": "vivekam101/how-to-make-money-in-datascience-job", "kernel_id": "14811767"}, {"ref": "naveenkb/how-to-transition-from-career-x-to-y", "kernel_id": "14023779"}, {"ref": "yaojenkuo/notebook-kaggle-survey-2020", "kernel_id": "14055480"}, {"ref": "ksvmuralidhar/which-technologies-are-used-together", "kernel_id": "14692901"}, {"ref": "ksvmuralidhar/data-scientist-role-eda-kaggle-survey-2020", "kernel_id": "14601258"}, {"ref": "amnfirst/demographics-shift-in-kaggle-s-ds-community", "kernel_id": "14068210"}, {"ref": "gvyshnya/kaggle-2020-survey-associated-insights", "kernel_id": "14050178"}, {"ref": "liberrenaud/wanna-up-your-game-here-are-the-techs-on-the-rise", "kernel_id": "14041749"}, {"ref": "vishakhamujoo/the-digital-disruption", "kernel_id": "14041773"}, {"ref": "shubham01/kaggle-survey-2020-covid-impact", "kernel_id": "14009902"}, {"ref": "sabinanecula/without-features", "kernel_id": "14036218"}, {"ref": "bhavyaaami/data-science-tools-notebooks-and-what-not", "kernel_id": "14056337"}, {"ref": "unfinishedtales/the-chronicles-of-kaggle-survey", "kernel_id": "14054580"}, {"ref": "mhajabri/ml-and-kaggle-a-hardware-lottery", "kernel_id": "14055734"}, {"ref": "vinven7/kaggle-2020-survey-analysis-with-visual-clustering", "kernel_id": "14038033"}, {"ref": "onielg/simpleinferences", "kernel_id": "14014218"}, {"ref": "jnegrini/2020-kaggle-eda-competition", "kernel_id": "14984074"}, {"ref": "suhong/looking-for-data-science-jobs-in-north-america", "kernel_id": "14361982"}, {"ref": "atinakarim/the-differences-between-various-data-roles", "kernel_id": "14040287"}, {"ref": "akhandpratap/easy-to-understand-eda-for-beginners", "kernel_id": "14065141"}, {"ref": "kgiangnguyen/alice-in-the-data-science-world", "kernel_id": "14062061"}, {"ref": "acadaca/howtobecomeatoppaiddatascientist-kagglesurvey2020", "kernel_id": "14577876"}, {"ref": "aashishghosh/how-many-iphones-can-a-data-scientist-buy", "kernel_id": "14067816"}, {"ref": "sotomsa/datavisualization2020kagglesurvey", "kernel_id": "14625060"}, {"ref": "tianmin/women-need-higher-academic-levels-than-man-do", "kernel_id": "14060679"}, {"ref": "mcourtine/the-2020-kaggle-ml-ds-survey-discovery", "kernel_id": "14068694"}, {"ref": "simingsu/a-story-starts-with-compensation", "kernel_id": "14056626"}, {"ref": "godzill22/who-is-data-scientist-from-kaggle-survey-2020", "kernel_id": "14182532"}, {"ref": "neomatrix369/kaggle-global-outreach-analysis", "kernel_id": "14030875"}, {"ref": "razzuk/first-notebook-silly-answer-to-silly-question", "kernel_id": "14798035"}, {"ref": "dazzpool/tenantless-time", "kernel_id": "14025631"}, {"ref": "khanalkiran/kaggle-ml-survey-2020-ask-final", "kernel_id": "14021849"}, {"ref": "adautobraz/who-are-you-in-the-toolset-zoo", "kernel_id": "14046717"}, {"ref": "pmav99/spam-identification-and-data-scientists-profile", "kernel_id": "14066203"}, {"ref": "aku0810/kaggle-survey", "kernel_id": "14135761"}, {"ref": "dominicsamoes/interest-in-ml-from-students-in-southern-africa", "kernel_id": "14029120"}, {"ref": "andreshg/kaggle-survey-a-graph-story", "kernel_id": "14272392"}, {"ref": "rahulahuja1/eda-2020-kaggle-ml-ds-survey-india-usa", "kernel_id": "14725194"}, {"ref": "fonina/us-female-students-on-the-rise", "kernel_id": "14029125"}, {"ref": "ankitkumarsaini/current-status-of-data-science", "kernel_id": "14202622"}, {"ref": "chinmaymaganur/eda-india-kagglesurvey", "kernel_id": "14302436"}, {"ref": "robertolofaro/ai-organizational-scalability-and-kaggle-survey", "kernel_id": "14059893"}, {"ref": "christopherdzuwa/data-science-usage-in-africa", "kernel_id": "14067214"}, {"ref": "vishnuoum/2020-kaggle-ml-ds-survey-analysis", "kernel_id": "14306787"}, {"ref": "michaelqq/kaggle-survey-2020", "kernel_id": "14465074"}, {"ref": "tusharkoley1/data-science-survey", "kernel_id": "14014349"}, {"ref": "firebee/story-teller", "kernel_id": "14783365"}, {"ref": "avinashyadav11/beginners-eda", "kernel_id": "14066505"}, {"ref": "mohitnagarkoti/machine-learning-dilema-explained-using-kaggle-ds", "kernel_id": "14114643"}, {"ref": "dhuang718/do-you-really-need-to-know-python-sql-tableau", "kernel_id": "14049757"}, {"ref": "waziharaquib/complete-overview-of-2020-kaggle-survey-waziha", "kernel_id": "14068431"}, {"ref": "ajaypalsinghlo/kaggle-survey-2020-gender", "kernel_id": "14186491"}, {"ref": "ajaypalsinghlo/kaggle-survey-2020-india", "kernel_id": "14009640"}, {"ref": "italomarcelo/2020-kaggle-ml-and-ds-survey-brazil", "kernel_id": "14913101"}, {"ref": "prajwalkv/data-visualization-on-kaggle-survey-2020-analysis", "kernel_id": "14002366"}, {"ref": "kelvinchow1979/kaggle-survey-2020-eda", "kernel_id": "14048160"}, {"ref": "bayartsogtya/kaggle-in-mongolia", "kernel_id": "14020155"}, {"ref": "mariamammar/women-in-data", "kernel_id": "14047540"}, {"ref": "druvstan/how-to-start-with-eda", "kernel_id": "14066768"}, {"ref": "vikasbevoor/a-story-on-currently-not-employed", "kernel_id": "14036108"}, {"ref": "hanlinyang/how-to-get-a-job-in-data-science", "kernel_id": "14548163"}, {"ref": "kenjee/analyzing-gender-and-earning-potential-in-tech", "kernel_id": "14261475"}, {"ref": "kenjee/kaggle-project-from-scratch", "kernel_id": "14098234"}, {"ref": "dhananjaikumarpandey/kaggle-machine-learning-data-science-survey", "kernel_id": "14373332"}, {"ref": "ppark12/2020-kaggle-machine-learning-data-science-survey", "kernel_id": "14022823"}, {"ref": "sniggdhaa/why-consider-being-a-db-administrator-engineer", "kernel_id": "14001929"}, {"ref": "juandavidrincon/colombian-journey-through-data-science", "kernel_id": "14069878"}, {"ref": "scarecrow2020/southamerican-kaggle-plotly-visualization", "kernel_id": "14041042"}, {"ref": "aasthamishra/quality-ds-eda", "kernel_id": "14041957"}, {"ref": "prasunagarwal/kaggle-survey-data-set", "kernel_id": "14178994"}, {"ref": "danielshentengda/first-try-of-two-caiji", "kernel_id": "14061989"}, {"ref": "nechoi/the-future-of-ml-americans-vs-indians", "kernel_id": "14064711"}, {"ref": "savitanair/kaggle-survey", "kernel_id": "14034807"}, {"ref": "mariiamakarova/let-s-compare-with-post-soviet-countries", "kernel_id": "14033878"}, {"ref": "chloe04/are-we-on-the-right-path-a-guide-for-beginners", "kernel_id": "14068011"}, {"ref": "janinekadar/who-excels-on-kaggle", "kernel_id": "14005098"}, {"ref": "karthikraj9789/insight-and-visualization-of-kaggle-2020-data", "kernel_id": "14024085"}, {"ref": "waleedmahmoudramdan/kaggle-servey-2020-analysis-inspection", "kernel_id": "14044380"}, {"ref": "ashrayshetty108/interactive-data-visualization-in-plotly", "kernel_id": "14773224"}, {"ref": "anukriti01/firms-using-ml-for-business-a-study-via-ml", "kernel_id": "14031094"}, {"ref": "mfourakn/demographic-and-geographic-data-exploration", "kernel_id": "14018592"}, {"ref": "jazzyquark/2020-kaggle-story-analysis", "kernel_id": "14065677"}, {"ref": "murendenibaloyi/state-of-data-science-in-africa-vs-the-world", "kernel_id": "14930975"}, {"ref": "deeppblue/kaggle-machine-learning-submission", "kernel_id": "14942734"}, {"ref": "nolenja/20-kaggle-data-science-ml-survey-with-python", "kernel_id": "15122133"}, {"ref": "adhoppin/kaggle-survey", "kernel_id": "15031877"}, {"ref": "rishabhg2006/kaggle-survey-2020", "kernel_id": "15826732"}, {"ref": "divyareddyyeruva/kaggle-survey-2020-student-vs-professional", "kernel_id": "15146248"}, {"ref": "marianatmatos/eda-kaggle-survey-2020", "kernel_id": "15155770"}, {"ref": "hamdoe/kaggle-survey-eda", "kernel_id": "16172297"}, {"ref": "nilaychauhan/your-search-ends-here-the-journey-of-kaggle", "kernel_id": "16846808"}, {"ref": "mlahnkor/eda2020", "kernel_id": "16265190"}, {"ref": "mohamedsalam/kaggle-eda-notebook", "kernel_id": "16814982"}, {"ref": "chhavigupta11/eda-datasciencesurvey", "kernel_id": "16040013"}, {"ref": "komalpreetbrar/2020-kaggle-machine-learning-data-science-survey", "kernel_id": "16550754"}, {"ref": "mervap/ides-used-by-r-programmers", "kernel_id": "16375416"}, {"ref": "sunnwoongchoi/personalized-eda", "kernel_id": "16262614"}, {"ref": "jeongseongyun/the-first-eda-of-newbie-s-about-korean", "kernel_id": "16371167"}, {"ref": "moghazy/how-to-enter-the-data-science-career-analysis", "kernel_id": "17959842"}, {"ref": "wordroid/memo-wordanddoc2vec-lowcol", "kernel_id": "17008336"}, {"ref": "wordroid/ks2020-encode-data-001", "kernel_id": "17034947"}, {"ref": "wordroid/ks2020-lowcol-fet12-001-somcls-show", "kernel_id": "17059894"}, {"ref": "wordroid/ks2020-lowcol-fet12-001-show", "kernel_id": "17057227"}, {"ref": "wordroid/ks2020-lowcol-fet12-001-sommap-show", "kernel_id": "17070920"}, {"ref": "wordroid/ks2020-lowcol-fet12-001-somcls-sksom-keras-hex", "kernel_id": "17244199"}, {"ref": "myounghunseo/simple-fuction", "kernel_id": "17435247"}, {"ref": "oypjoshua/a-peek-into-the-data-science-industry", "kernel_id": "17623345"}, {"ref": "a457435687/kaggle-2020-visualization-analysis", "kernel_id": "18901875"}, {"ref": "subodanirodrigo/kaggle-survey-eda", "kernel_id": "18747570"}, {"ref": "swetagupta/kaggle-ml-dl-survey", "kernel_id": "18654008"}, {"ref": "namansood/kaggle-survey-data-eda", "kernel_id": "18250673"}, {"ref": "ellykim1012/female-data-scientists-in-canada", "kernel_id": "18587893"}, {"ref": "wordroid/memo-wordanddoc2vec-lowcol-2020-kaggle-mlds-survey", "kernel_id": "19255174"}, {"ref": "foolishboi/kaggle-visualization-2020-eda", "kernel_id": "19016126"}, {"ref": "maraneane/data-science-usage-in-africa", "kernel_id": "19319462"}, {"ref": "wordroid/clustering-of-quantitative-survey-data", "kernel_id": "20655820"}, {"ref": "amitgold/2020-kaggle-eda-competition", "kernel_id": "20308683"}, {"ref": "ayuraj/kaggle-survey-2020-w-b-vs-all", "kernel_id": "20271556"}, {"ref": "mehrozalam/basic-eda-regarding-country-age-gender", "kernel_id": "20527818"}, {"ref": "rahulsingh8510/kaggle-survey", "kernel_id": "20230985"}, {"ref": "santhiyar/day-21-task", "kernel_id": "20026110"}, {"ref": "selvadharani/2020-kaggle-visualization", "kernel_id": "20030609"}, {"ref": "thbalaji/day-24", "kernel_id": "20340901"}, {"ref": "ashishkapasiya/basic-eda-code-of-kaggal-survey", "kernel_id": "20056282"}, {"ref": "snehsingh001/kaggle-survey", "kernel_id": "20360045"}, {"ref": "dansbecker/2020-kaggle-data-science-machine-learning-survey", "kernel_id": "21237375"}, {"ref": "laxmsun/trends-across-time-students-vs-professionals", "kernel_id": "21259433"}, {"ref": "steubk/kaggle-survey-2021-historical-snapshot", "kernel_id": "21250978"}, {"ref": "kesamet/2018-21-kaggle-ml-ds-survey", "kernel_id": "21360147"}, {"ref": "katokev/2021-kaggle-machine-learning-data-science-survey", "kernel_id": "21342451"}, {"ref": "clarice/is-egypt-the-emerging-techhub-in-africa", "kernel_id": "21381505"}, {"ref": "j2hoon85/plotly-tutorial-for-kaggle-survey-competitions", "kernel_id": "21873134"}, {"ref": "ashkash/simple-across-the-board-perspective-of-kaggle-net", "kernel_id": "21714889"}, {"ref": "katiej277/the-worsening-gender-pay-gap-in-data-science", "kernel_id": "21321781"}, {"ref": "paultimothymooney/2021-survey-data-scientists-in-india", "kernel_id": "21234031"}, {"ref": "paultimothymooney/2021-survey-data-scientists-in-the-usa", "kernel_id": "21234033"}, {"ref": "paultimothymooney/2021-survey-job-title-data-scientist", "kernel_id": "21234034"}, {"ref": "paultimothymooney/2021-kaggle-data-science-machine-learning-survey", "kernel_id": "21234035"}, {"ref": "tommy1028/is-gender-bias-real-kaggle-gender-wage-gap-index", "kernel_id": "21441389"}, {"ref": "delafields/let-s-make-some-money-survey-2021", "kernel_id": "21722545"}, {"ref": "samir95/the-state-of-data-science-in-egypt", "kernel_id": "21729140"}, {"ref": "michau96/kaggle-s-popularity-in-your-country", "kernel_id": "21669704"}, {"ref": "siddhantsadangi/kaggle-2021-any-country-vs-the-world", "kernel_id": "21237768"}, {"ref": "yenbaeny/startups-or-big-companies", "kernel_id": "21483274"}, {"ref": "harshjhunjhunwala/comparative-dive-into-kaggle-users-india-vs-us", "kernel_id": "21478878"}, {"ref": "drcapa/kaggle-ds-survey-2017-2021-eda", "kernel_id": "21273523"}, {"ref": "hyunkic/2021-kaggle-data-science-machine-learning-survey", "kernel_id": "21877310"}, {"ref": "tulasiram574/kaggle-s-annual-machine-learning-and-data-science", "kernel_id": "21430685"}, {"ref": "iamleonie/head-in-the-clouds", "kernel_id": "21263850"}, {"ref": "duyguatasever/kaggle-survey-turkey-vs-world", "kernel_id": "21318091"}, {"ref": "mohammedshammeer/kaggle-professionals", "kernel_id": "21301114"}, {"ref": "maksymshkliarevskyi/kaggle-survey-2017-2021-main-insights-r", "kernel_id": "21807847"}, {"ref": "mkirankumar/2021-kaggle-machine-learning-data-science-survey", "kernel_id": "21581890"}, {"ref": "hiroshiotagaki/r-and-python", "kernel_id": "21735956"}, {"ref": "seungbumlim/2020-ml-ds-survey-pandas-filter-custom-function", "kernel_id": "21940033"}, {"ref": "foolofatook/plumbers-of-data-science", "kernel_id": "21350408"}, {"ref": "desalegngeb/how-popular-is-kaggle-in-africa", "kernel_id": "21238339"}, {"ref": "danielebaldoni/kaggle-survey-italy", "kernel_id": "21237325"}, {"ref": "muhammadsabih56/ml-ds-trends-in-any-country-vs-rest-of-the-world", "kernel_id": "21432828"}, {"ref": "wildbenji/historic-view-graph-generator-widget-group-options", "kernel_id": "21720533"}, {"ref": "flaviocavalcante/analysis-of-the-last-3-kaggle-surveys", "kernel_id": "21360518"}, {"ref": "mohamedbakrey/statistics-of-kaggle-users-in-asia", "kernel_id": "21666220"}, {"ref": "dmitryuarov/data-science-life-2018-2021-eda", "kernel_id": "21343505"}, {"ref": "kishalmandal/kaggle-2021-india-vs-usa-comparative-study", "kernel_id": "21294099"}, {"ref": "gaganmaahi224/story-telling-kaggle-survey-2019-2021", "kernel_id": "21735769"}, {"ref": "renokan/kaggle-survey-2021-20-age-before-after-30-year", "kernel_id": "21854371"}, {"ref": "renokan/kaggle-survey-2018-2021-create-one-clean-dataset", "kernel_id": "21949075"}, {"ref": "renokan/kaggle-survey-2021-20-automatic-load-and-check", "kernel_id": "21791045"}, {"ref": "adeayosotayo/2021-kaggle-survey-a-focus-on-nigerian-kagglers", "kernel_id": "21972515"}, {"ref": "k589k589/kaggle-survey-taiwan", "kernel_id": "21365237"}, {"ref": "bharatjuyal/exploring-kaggle-survey", "kernel_id": "21320690"}, {"ref": "maniklakherwal/kaggle-survey-2021-vs-2020", "kernel_id": "21714828"}, {"ref": "mostafaalaa123/how-age-affects-in-data-science", "kernel_id": "21709262"}, {"ref": "ankitmhaske/memoir-of-a-toddler-machine-learning-survey", "kernel_id": "21780305"}, {"ref": "lynnxy/a-deep-dive-into-the-kaggle-survey-from-2017-2021", "kernel_id": "21442064"}, {"ref": "lewisdubrowski/data-science-and-the-lgbtq-community", "kernel_id": "21829542"}, {"ref": "gvyshnya/kaggle-in-cloud-in-2020-2021", "kernel_id": "22339699"}, {"ref": "djvivekj/kaggle-2021-community-bias-finding-most-popular", "kernel_id": "22268379"}, {"ref": "nitishabharathi/not-ai-hype-cycle-2021-kaggle-version", "kernel_id": "22143615"}, {"ref": "hyunkic/mlvsdl", "kernel_id": "22011243"}, {"ref": "hasanbasriakcay/what-has-changed-in-data-science", "kernel_id": "22323845"}, {"ref": "anthonyakinsida/the-diversity-issue-in-data-science", "kernel_id": "22295585"}, {"ref": "christopherdzuwa/ai-is-the-future-but-where-are-women", "kernel_id": "22373866"}, {"ref": "katemelianova/early-career-kagglers-and-skills-development", "kernel_id": "22275253"}, {"ref": "howoojang/data-science-the-next-battle-ground", "kernel_id": "22299350"}, {"ref": "ejunichi/kaggle-survey-seen-from-the-outside", "kernel_id": "22373805"}, {"ref": "kchinn9/charting-a-path-into-the-data-science-field", "kernel_id": "22366165"}, {"ref": "apachefranklin/kaggle-survey-2019-2020-2021", "kernel_id": "22275806"}, {"ref": "mohitludhiyani/two-kingdoms-one-prophecy", "kernel_id": "22376133"}, {"ref": "gavisr/it-s-a-man-s-world-in-the-uk", "kernel_id": "22248075"}, {"ref": "danielanewton/interestingtimes", "kernel_id": "22211187"}, {"ref": "welcomehere/kaggle-nigerians-in-data-science", "kernel_id": "22064538"}, {"ref": "kiranclement/eda-4-usa-and-cloud", "kernel_id": "22220726"}, {"ref": "carodias/data-heroines-saving-the-world-through-data", "kernel_id": "22317377"}, {"ref": "brightezeoha/2020-kaggle-data-science-survey-eda-data-viz", "kernel_id": "22497809"}, {"ref": "gaganmaahi224/marvel-theme-women-in-survey", "kernel_id": "22350378"}, {"ref": "hassanshahin/egyptian-endeavour-moment-of-truth", "kernel_id": "22211450"}, {"ref": "renokan/kaggle-survey-2018-2021-columns-diff-in-datasets", "kernel_id": "22067078"}, {"ref": "ishitabhatt/plotly-tutorial-for-kaggle-survey-competitions", "kernel_id": "22107597"}, {"ref": "sarahmashhood/the-success-story-compete-win-with-kaggle-data", "kernel_id": "22183740"}, {"ref": "aschamp/the-market-the-story-of-data-science-products", "kernel_id": "22371004"}, {"ref": "shubhamoulkar/time-is-a-mysterious-variable", "kernel_id": "22375467"}, {"ref": "zhuang58/tool-network-analysis-and-global-distribution", "kernel_id": "22324506"}, {"ref": "yoonhwayam/newbies-as-a-data-scientist-in-east-asia", "kernel_id": "22252180"}, {"ref": "amalalthaqafi/explore-ml-ds-survey-2020-2021-saudi-arabia", "kernel_id": "22189613"}, {"ref": "leeeyuuunjiii/notebook18e912220a", "kernel_id": "22077808"}, {"ref": "leeeyuuunjiii/notebookb65632169a", "kernel_id": "22041168"}, {"ref": "ezzaldin6/a-quick-look-at-2021-kaggle-survey", "kernel_id": "23928182"}, {"ref": "kamaljp/stories-of-kagglers-till-2021", "kernel_id": "23458206"}, {"ref": "kamaljp/change-in-data-science-with-plotly", "kernel_id": "23695621"}, {"ref": "kamaljp/stories-of-kagglers-2021-by-plotly", "kernel_id": "23720353"}, {"ref": "takahirokubo0/amazon-web-service-share-in-data-scientists", "kernel_id": "24238505"}, {"ref": "aikanshivaish/some-important-insights-for-the-survey", "kernel_id": "24268631"}, {"ref": "sibinthomas06/ml-ds-survey2021", "kernel_id": "24927275"}, {"ref": "dorothylee238/how-to-use-pandas-filter-in-survey-eda", "kernel_id": "24273670"}, {"ref": "ashen98/kaggle-2020-survey-associated-insights", "kernel_id": "24727516"}, {"ref": "j2hoon85/plotly-tutorial", "kernel_id": "25709992"}, {"ref": "blackjjw/plotly-tutotrial", "kernel_id": "25709994"}, {"ref": "kmk3593/plotly-tutorial", "kernel_id": "25710008"}, {"ref": "woobinhwang/plotly-tutorial", "kernel_id": "25709986"}, {"ref": "sirin1234/plotly-tutorial", "kernel_id": "25710000"}, {"ref": "yangseunghak/plotly-tutorial", "kernel_id": "25710005"}, {"ref": "rlalastjd782/plotly-tutorial", "kernel_id": "25709999"}, {"ref": "jeha100/plotly-tutorial-m", "kernel_id": "25709995"}, {"ref": "jiwonkng/plotly-tutorial", "kernel_id": "25709997"}, {"ref": "gayeongzero/plotly-tutorial", "kernel_id": "25709989"}, {"ref": "jiminkim00/plotly-tutorial", "kernel_id": "25709998"}, {"ref": "seyeon0815/potly-tutorial", "kernel_id": "25710012"}, {"ref": "seungeun5/plotly-tutorial", "kernel_id": "25709990"}, {"ref": "taehyeon0915/plotly-tutorial", "kernel_id": "25710006"}, {"ref": "wintersadh/numpy-tutorial", "kernel_id": "25709993"}, {"ref": "holfyuen/kaggle-survey-2017-2022", "kernel_id": "26531102"}, {"ref": "vidiqlogy/kagglers-seen-by-continents", "kernel_id": "26445890"}, {"ref": "paultimothymooney/2021-survey-job-title-research-scientist", "kernel_id": "27223272"}, {"ref": "yongxon/pros-are-different-in-algorithm-and-library-choice", "kernel_id": "27864377"}, {"ref": "paultimothymooney/2021-survey-job-title-student", "kernel_id": "28541431"}, {"ref": "fajrikusuma/kaggle-survey-2019-2021-indonesia", "kernel_id": "29959796"}, {"ref": "paultimothymooney/kaggle-survey-2022-job-title-data-scientist", "kernel_id": "30964786"}, {"ref": "paultimothymooney/kaggle-survey-2022-all-results", "kernel_id": "30966266"}, {"ref": "paultimothymooney/kaggle-survey-2022-data-scientists-in-the-usa", "kernel_id": "30987895"}, {"ref": "satoshiss/making-data-for-tps-sep", "kernel_id": "30077868"}, {"ref": "steubk/kaggle-survey-2022-historical-snapshot", "kernel_id": "31130751"}, {"ref": "siddhantsadangi/usage-of-experiment-management-tools-2020-2022", "kernel_id": "31130539"}, {"ref": "loredanagheorghe/zoom-on-gender-in-the-kaggle-world", "kernel_id": "31831994"}, {"ref": "samuelgyamfi/how-are-people-getting-into-kaggle", "kernel_id": "31650396"}, {"ref": "vinitshah0110/data-science-survey-insights-yoy-trend", "kernel_id": "31320918"}, {"ref": "ahmedhammad01/data-science-the-cloud-2020-2022", "kernel_id": "31120164"}, {"ref": "danielanewton/notebook-uncertainty", "kernel_id": "31239409"}, {"ref": "sakshatrao/kaggle-survey-supporting-eda", "kernel_id": "31861907"}, {"ref": "mohamedbenmaiza/the-evolution-of-a-data-scientist", "kernel_id": "31573443"}, {"ref": "xxxxyyyy80008/covid-19-and-gender-equality", "kernel_id": "31290713"}, {"ref": "francescocolicino/once-upon-a-time-a-kaggle-survey", "kernel_id": "31358731"}, {"ref": "renokan/compare-column-names-answers-in-2022-2018", "kernel_id": "31726108"}, {"ref": "azisanw19/trends-ml-ds-2019-to-2022", "kernel_id": "31830799"}, {"ref": "amarnathaditya/eda-kaggle-2022", "kernel_id": "31507403"}, {"ref": "amarnathaditya/kaggle-survey-eda-2022", "kernel_id": "31247905"}, {"ref": "haseebahajikhan/who-are-the-senior-kagglers", "kernel_id": "31970092"}, {"ref": "sarangunasekaran/eda-analysis-skm-2022", "kernel_id": "31568378"}, {"ref": "tompaulat/survey-data-follow-the-money", "kernel_id": "31629745"}, {"ref": "nitishabharathi/the-need-for-mlops", "kernel_id": "32051086"}, {"ref": "jacoporepossi/follow-the-flow-surveys-with-alluvial-plots", "kernel_id": "32776097"}, {"ref": "bhanuchanderu/things-you-should-know-aout-2022-kaggle-ml-survey", "kernel_id": "32382541"}, {"ref": "goldens/women-in-kaggle-by-age-range", "kernel_id": "32678148"}, {"ref": "haakakak/a-brief-history-of-kagglers-through-time", "kernel_id": "32694617"}, {"ref": "mmakiuchi/how-is-japan-doing", "kernel_id": "32559332"}, {"ref": "cuysaurus/ks2022-free-and-repressed-countries", "kernel_id": "32686673"}, {"ref": "bagasadiwaskita/kaggle-survey-2022-ds-ml-in-indonesia", "kernel_id": "32685675"}, {"ref": "wouldyoujustfocus/ladies-lean-in", "kernel_id": "32419117"}, {"ref": "sc6354/women-entering-and-women-in-the-ds-field-2022", "kernel_id": "32340628"}, {"ref": "sakshatrao/monop-olympics", "kernel_id": "32277055"}, {"ref": "afrinahossain/computer-vision-in-2022-what-s-the-current-state", "kernel_id": "32501812"}, {"ref": "nghihuynh/kaggle-2022-cloud-racing-ethical-ai-rising", "kernel_id": "32412156"}, {"ref": "syedabdulhaseebds/kaggle-survey-discovering-patterns-in-data", "kernel_id": "32494055"}, {"ref": "pranav941/trail-through-law-of-the-jungle", "kernel_id": "32306491"}, {"ref": "pranav941/kaggle-survey-make-your-data-analysis-a-breeze", "kernel_id": "32903434"}, {"ref": "renokan/compare-raw-clean-data-answers-in-2022-2018", "kernel_id": "32193382"}, {"ref": "renokan/eda-2022-2018-country-name-years-analysis", "kernel_id": "32077669"}, {"ref": "renokan/what-happened-in-industries-2022-2018", "kernel_id": "32273790"}, {"ref": "adeayosotayo/data-science-in-the-uk", "kernel_id": "32240276"}, {"ref": "milderielle/data-science-tools-diversity-scoring-analysis", "kernel_id": "32292497"}, {"ref": "dsshrashetty/kagglesurvey2022dataanalysis", "kernel_id": "32751501"}, {"ref": "cjeanpierre/datum-sapiens", "kernel_id": "32293571"}, {"ref": "jubei7/meet-the-holy-trinity-data-sci-ml-in-2022", "kernel_id": "32900556"}, {"ref": "jubei7/ds-and-ml-in-2022-an-intersectional-analysis", "kernel_id": "32774674"}, {"ref": "madhurpant/india-on-the-rise", "kernel_id": "32644599"}, {"ref": "maheshekula/kaggle-survey-2022-comparing-with-2021-2022", "kernel_id": "32673011"}, {"ref": "xuhefangyuan/2022kaggle-20-22-globle-servey", "kernel_id": "32686083"}, {"ref": "liangbaoml/data-science-in-developing-and-developed-countries", "kernel_id": "32763185"}, {"ref": "weichang1111/2020-2022-kaggle-survey-eda-with-r", "kernel_id": "32282944"}, {"ref": "takahirokubo0/cloud-service-usage-among-data-scientists", "kernel_id": "33310205"}, {"ref": "trancuong59196/how-is-vietnam-doing", "kernel_id": "33940417"}, {"ref": "olgabelitskaya/kaggle-ml-datascience-survey-part-1", "kernel_id": "38859328"}, {"ref": "tianmin/kaggle-survey-dataset-long-format-2017-2022-wip", "kernel_id": "40628007"}, {"ref": "christopherf24/gender-pay-gap-in-ds", "kernel_id": "41748027"}, {"ref": "siriusmhlee/study-2020-kaggle-machine-learning-data-science", "kernel_id": "44460455"}, {"ref": "lainguyn123/fork-of-head-in-the-clouds", "kernel_id": "64269390"}, {"ref": "nonesubham/data-analysis", "kernel_id": "67325333"}, {"ref": "chaitanyalabhe04/visulization", "kernel_id": "70689861"}, {"ref": "priyharshgangwar/competitive-constellations-kaggle-s-kernels", "kernel_id": "87424917"}, {"ref": "elgazzar5/2021-kaggle-data-science-machine-learning-survey", "kernel_id": "95123973"}, {"ref": "flakkyddon/customer-clustering", "kernel_id": "105824167"}, {"ref": "tkgdayo/motiondiffusionmodel", "kernel_id": "110624806"}]}
{"competition_id": "23725", "kernels": []}
{"competition_id": "23733", "kernels": []}
{"competition_id": "23735", "kernels": []}
{"competition_id": "23738", "kernels": []}
{"competition_id": "23740", "kernels": []}
{"competition_id": "23742", "kernels": []}
{"competition_id": "23755", "kernels": []}
{"competition_id": "23758", "kernels": []}
{"competition_id": "23764", "kernels": []}
{"competition_id": "23775", "kernels": []}
{"competition_id": "23777", "kernels": []}
{"competition_id": "23791", "kernels": []}
{"competition_id": "23793", "kernels": []}
{"competition_id": "23796", "kernels": []}
{"competition_id": "23800", "kernels": []}
{"competition_id": "23805", "kernels": []}
{"competition_id": "23812", "kernels": []}
{"competition_id": "23814", "kernels": [{"ref": "shivarajshavi/audit-classification-got-top-41", "kernel_id": "13236299"}]}
{"competition_id": "23823", "kernels": [{"ref": "subbuvolvosekar/hpa-single-cell-eda", "kernel_id": "14740852"}, {"ref": "rdizzl3/hpa-segmentation-masks-no-internet", "kernel_id": "14528234"}, {"ref": "lukemerrick/who-needs-a-gpu-shallow-learning-in-julia", "kernel_id": "14588419"}, {"ref": "samusram/hpa-classifier-explainability-segmentation", "kernel_id": "14545058"}, {"ref": "samusram/hpa-rgb-model-rgby-cell-level-classification", "kernel_id": "14662060"}, {"ref": "its7171/mmdetection-for-segmentation-inference", "kernel_id": "14565148"}, {"ref": "its7171/mmdetection-for-segmentation-training", "kernel_id": "14578171"}, {"ref": "kailassrt/visualization", "kernel_id": "14486839"}, {"ref": "kailassrt/data-distribution-1-minute", "kernel_id": "14494577"}, {"ref": "kailassrt/protein-atlas-exploration-and-baseline", "kernel_id": "14501034"}, {"ref": "poornap/hpa-requirement-understanding-and-eda", "kernel_id": "14992800"}, {"ref": "ateplyuk/hpa-pytorch-starter-code", "kernel_id": "14582036"}, {"ref": "thedrcat/hpa-cell-tiles-test-with-enc", "kernel_id": "14883221"}, {"ref": "thedrcat/hpa-baseline-cell-segmentation", "kernel_id": "14533120"}, {"ref": "thedrcat/hpa-single-cell-classification-eda", "kernel_id": "14486817"}, {"ref": "thedrcat/hpa-cell-tiles-sample-balanced", "kernel_id": "14950032"}, {"ref": "metathesis/pytorch-resnet50-tpu-training", "kernel_id": "14515466"}, {"ref": "prvnkmr/domain-knowledge-for-protein-localization-patterns", "kernel_id": "14525258"}, {"ref": "dschettler8845/hpa-xai-ig-tfrecords-tpu-training", "kernel_id": "14680016"}, {"ref": "dschettler8845/hpa-xai-ig-eda", "kernel_id": "14710050"}, {"ref": "dschettler8845/hpa-xai-ig-inference", "kernel_id": "14736251"}, {"ref": "dschettler8845/visual-eda-hpa-single-cell-classification", "kernel_id": "14502216"}, {"ref": "dschettler8845/starter-on-how-to-load-rle-masks", "kernel_id": "14629065"}, {"ref": "dschettler8845/hpa-cellwise-classification-inference", "kernel_id": "14634870"}, {"ref": "dschettler8845/hpa-cellwise-classification-training", "kernel_id": "14632989"}, {"ref": "dschettler8845/starter-how-to-load-rle-masks-testing", "kernel_id": "14649619"}, {"ref": "hamditarek/exploring-human-protein-atlas-cell-classification", "kernel_id": "14546488"}, {"ref": "ashwanibhat/eda-hpa-with-explanation", "kernel_id": "14536197"}, {"ref": "samir95/eda-like-it-s-the-last-thing-you-ll-ever-do", "kernel_id": "14494425"}, {"ref": "kool777/human-protein-atlas-cell-segmentation-eda", "kernel_id": "14510314"}, {"ref": "ayuraj/hpa-segmentation-mask-visualization-with-w-b", "kernel_id": "14990298"}, {"ref": "ayuraj/hpa-multi-label-classification-with-tf-and-w-b", "kernel_id": "14909363"}, {"ref": "dhananjay3/human-protein-atlas-eda-all-you-need-to-know", "kernel_id": "14487618"}, {"ref": "whatsinthename/keep-it-simple-stupid", "kernel_id": "14966311"}, {"ref": "lys620/hpa-single-cell-classification-eda", "kernel_id": "14927293"}, {"ref": "frlemarchand/generate-masks-from-weak-image-level-labels", "kernel_id": "14483375"}, {"ref": "drcapa/human-protein-atlas-tpu-tutorial", "kernel_id": "14491877"}, {"ref": "drcapa/human-protein-atlas-starter-keras", "kernel_id": "14489039"}, {"ref": "heyytanay/cell-image-classification-eda", "kernel_id": "14486316"}, {"ref": "shivanandmn/hpa-efficientnet-model-explore-further-pytorch", "kernel_id": "14518328"}, {"ref": "elloss/notebook31a247cf1c", "kernel_id": "14847777"}, {"ref": "bineeshsps/protein-classification-final", "kernel_id": "14537328"}, {"ref": "tchaye59/hpa-512x512-dataset", "kernel_id": "14535252"}, {"ref": "tchaye59/hpa-stacked-channels-512x512", "kernel_id": "14523663"}, {"ref": "anandsm7/hpa-starter-pytorch-eda-classification-nfnets", "kernel_id": "14581650"}, {"ref": "nayuts/hpa-introduction", "kernel_id": "14496505"}, {"ref": "sajidhussain3/hpa-starter-baseline-beginner", "kernel_id": "14516611"}, {"ref": "ammarali32/human-protein-atlas-starter", "kernel_id": "14521456"}, {"ref": "akhileshdkapse/hpa-cell-classification-efficientnets-tpu-infer", "kernel_id": "14533016"}, {"ref": "akhileshdkapse/generated-mask", "kernel_id": "14518551"}, {"ref": "akhileshdkapse/hpa-cell-classification-efficientnets-tpu-training", "kernel_id": "14514030"}, {"ref": "akhileshdkapse/nih-x-ray-multilabel-classification-tpu-guide", "kernel_id": "14748712"}, {"ref": "grantwiersum/segmentation-with-tfrecords-and-data-generator", "kernel_id": "14612610"}, {"ref": "divyanshuusingh/eda-image-segmentation", "kernel_id": "14506224"}, {"ref": "simondelisle738386/hpa-cnn-approach", "kernel_id": "14567846"}, {"ref": "koheist/hpa-introduction-simple-eda", "kernel_id": "14482995"}, {"ref": "shivangigarg160997/humanproteinatlas-eda-resnet-bestscore", "kernel_id": "14531332"}, {"ref": "nalinnagar/unetforcellsegmentation", "kernel_id": "14507451"}, {"ref": "philipjamessullivan/hpa-preprocessing-pjs", "kernel_id": "14783918"}, {"ref": "jaycuti/segment-human-protein", "kernel_id": "14890404"}, {"ref": "lnhtrang/single-cell-patterns", "kernel_id": "14363386"}, {"ref": "lnhtrang/hpa-public-data-download-and-hpacellseg", "kernel_id": "14356026"}, {"ref": "nobatgeldi/human-protein-atlas-scc-tpu", "kernel_id": "14947026"}, {"ref": "yushinjung/human-protein-atlas-using-dataset-mask", "kernel_id": "14747523"}, {"ref": "christopherworley/human-protein-atlas-resnet50", "kernel_id": "14669713"}, {"ref": "christopherworley/human-protein-atlas-blending-rgby-to-rgb", "kernel_id": "14783537"}, {"ref": "christopherworley/human-protein-atlas-segmentation", "kernel_id": "14802692"}, {"ref": "christopherworley/human-protein-atlas-create-single-cell-data-set", "kernel_id": "14824936"}, {"ref": "alexlinn51/hpa-attempt", "kernel_id": "14897147"}, {"ref": "rasukashrestha/notebook3185e47f7e", "kernel_id": "14997614"}, {"ref": "onodera/compare-with-previous-hpa-competition", "kernel_id": "15708714"}, {"ref": "samusram/even-faster-hpa-cell-segmentation", "kernel_id": "15126750"}, {"ref": "xcyang/hpa-segmentation-masks-no-internet", "kernel_id": "15625403"}, {"ref": "nikhilpandey360/supervised-contrastive-learning", "kernel_id": "15999630"}, {"ref": "gody7334/local-submission", "kernel_id": "15449225"}, {"ref": "yuriys/hpa-fastrcnn", "kernel_id": "15637602"}, {"ref": "felipebihaiek/fastai-cell-tile-prototyping-train-bce-cutmixwo", "kernel_id": "15410515"}, {"ref": "soumikrakshit/hpa-baseline-on-tpu", "kernel_id": "15389598"}, {"ref": "thedrcat/knn-dataset", "kernel_id": "15920575"}, {"ref": "thedrcat/hpa-kfold-split", "kernel_id": "15937232"}, {"ref": "thedrcat/bestfitting-ml-public", "kernel_id": "15934972"}, {"ref": "thedrcat/bestfitting-ml", "kernel_id": "15893403"}, {"ref": "thedrcat/oversampling-for-multi-label-classification", "kernel_id": "15443403"}, {"ref": "thedrcat/cam-class-activation-map-explained-in-pytorch", "kernel_id": "15400686"}, {"ref": "thedrcat/focal-multilabel-loss-in-pytorch-explained", "kernel_id": "15298496"}, {"ref": "thedrcat/hpa-negative-sample-cell-segmentation-2", "kernel_id": "15268463"}, {"ref": "thedrcat/single-cell-patterns-with-examples-from-train", "kernel_id": "15029978"}, {"ref": "thedrcat/fastai-cell-tile-prototyping-training", "kernel_id": "15019281"}, {"ref": "thedrcat/fastai-quick-submission-template", "kernel_id": "15101071"}, {"ref": "thedrcat/hpa-public-data-negative-sample", "kernel_id": "15073188"}, {"ref": "zhan3002/eda-image-segmentation", "kernel_id": "15641060"}, {"ref": "zhan3002/submit1", "kernel_id": "15624844"}, {"ref": "waseemmscs92/basics-python", "kernel_id": "15300950"}, {"ref": "waseemmscs92/numpy-for-beginner-s", "kernel_id": "15168374"}, {"ref": "jmiloser/hpa-fastai-win-colab-kaggle-folds", "kernel_id": "15965377"}, {"ref": "dschettler8845/find-similar-duplicates-w-knn-hpa-rapids", "kernel_id": "15746876"}, {"ref": "dschettler8845/hpa-tile-level-dataset-generation-128x128-rgby", "kernel_id": "15239636"}, {"ref": "dschettler8845/hpa-tile-level-dataset-generation-224x224-y", "kernel_id": "15304514"}, {"ref": "dschettler8845/hpa-remake-the-training-tf-records-slide-level", "kernel_id": "15067326"}, {"ref": "dschettler8845/sample-submission-on-public-test-data-only", "kernel_id": "15163123"}, {"ref": "razatabish/hpa-single-cell-image-classification", "kernel_id": "15358657"}, {"ref": "ghaiyur/submission-assit-mk1", "kernel_id": "15205533"}, {"ref": "bibhasmondal96/human-protein-atlas-prm", "kernel_id": "15528254"}, {"ref": "yangsaewon/notebook6e7ea75b8a", "kernel_id": "15376608"}, {"ref": "ginkobalboa/howto-upload-module-and-simple-classification", "kernel_id": "15313185"}, {"ref": "amdaga/hpa-competition-submission", "kernel_id": "15476431"}, {"ref": "ayuraj/gradcam-implementation-visualization-in-tf-w-b", "kernel_id": "15161412"}, {"ref": "ayuraj/hpa-inference", "kernel_id": "15201084"}, {"ref": "ayuraj/rgb-512x512-dataset-creation-versioning-with-w-b", "kernel_id": "15081323"}, {"ref": "ayuraj/using-w-b-dsviz-for-cell-level-dataset-creation", "kernel_id": "15495460"}, {"ref": "ayuraj/dataset-versioning-for-single-label-dataset", "kernel_id": "15537561"}, {"ref": "ayuraj/cell-level-extra-data-download", "kernel_id": "15808092"}, {"ref": "ayuraj/single-label-cell-label-dataset-creation-w-w-b", "kernel_id": "15785499"}, {"ref": "whatsinthename/training-experiment-hpa-cell-segmenter", "kernel_id": "15935818"}, {"ref": "whatsinthename/hpa-infernce-baseline", "kernel_id": "15420851"}, {"ref": "sagarpanwar/quick-test", "kernel_id": "15268409"}, {"ref": "kicksomeasphalt/classifying-cells", "kernel_id": "15312455"}, {"ref": "madquer/hpa-generate-masks-knowledge-bin-mask-encoding", "kernel_id": "15896945"}, {"ref": "jitshil143/human-protein-atlas", "kernel_id": "15692587"}, {"ref": "vineeth1999/reasoning-rcnn-using-mmdet", "kernel_id": "15492238"}, {"ref": "wptouxx/hpa-image-loading-speed-up-for-training", "kernel_id": "15056556"}, {"ref": "wptouxx/hpa-single-cell-classification-eda", "kernel_id": "15110006"}, {"ref": "wptouxx/hpa-pytorch-starter-kit-tpu-rgby-focalloss", "kernel_id": "15485774"}, {"ref": "ligtfeather/cross-stage-partial-networks-on-resnext", "kernel_id": "15845747"}, {"ref": "ligtfeather/bottleneck-transformers-for-visual-recognition", "kernel_id": "15525844"}, {"ref": "varad98/exploring-hpa", "kernel_id": "15590316"}, {"ref": "varad98/preprocessing-of-data", "kernel_id": "15731177"}, {"ref": "stephenfenel/single-cell-classification-eda-and-segmentation", "kernel_id": "15092347"}, {"ref": "linshokaku/faster-hpa-cell-segmentation", "kernel_id": "15102619"}, {"ref": "centorit/hpa-keras-model1", "kernel_id": "15219533"}, {"ref": "centorit/hpa-model-train-flow-methods", "kernel_id": "15556949"}, {"ref": "glopezzz/faster-classification-and-sumbission", "kernel_id": "15383883"}, {"ref": "glopezzz/segmentation-and-classification-with-efficientnet", "kernel_id": "15106678"}, {"ref": "dragonzhang/fastai-cell-tile-prototyping-training", "kernel_id": "15226157"}, {"ref": "yanngarcia/model-evaluate-failure-pls-help-me", "kernel_id": "15855306"}, {"ref": "yanngarcia/human-protein-atlas", "kernel_id": "15552259"}, {"ref": "rmicrobe/scientific-introduction-and-eda", "kernel_id": "15371601"}, {"ref": "mohammadasimbluemoon/singlecellclassification-gpu", "kernel_id": "15390645"}, {"ref": "mohammadasimbluemoon/single-cell-classification-tpu", "kernel_id": "15413183"}, {"ref": "skydevour/rgb-model-rgby-cell-level-classification", "kernel_id": "15052338"}, {"ref": "skydevour/single-cell-classification-eda", "kernel_id": "15011747"}, {"ref": "yinanli516/hpa-visualizing-images-and-creating-masks", "kernel_id": "15018844"}, {"ref": "lucamarradi/vinbigdata-2-class-classifier-complete-pi-963f84", "kernel_id": "15693338"}, {"ref": "estau2020/hpa-starter-pytorch-eda-classification-nfnets", "kernel_id": "15064803"}, {"ref": "lawguorui/single-image-cell-segmentation", "kernel_id": "15585770"}, {"ref": "leoprovorov/hpa-part-1-understanding-the-topic", "kernel_id": "15153114"}, {"ref": "syalabiseet/how-to-albumentations-tfrec-gpu", "kernel_id": "15040561"}, {"ref": "haponmaksym/hpa-building-data-pipeline-with-tensorflow", "kernel_id": "15361781"}, {"ref": "zekunn/hpa-data", "kernel_id": "15762036"}, {"ref": "jasperbongers2/segmentation", "kernel_id": "15921149"}, {"ref": "lucamtb/hpa-train-segment", "kernel_id": "15152780"}, {"ref": "dthyagharajon/trt57-hpasinglecellimageclassification-loaddata", "kernel_id": "15638620"}, {"ref": "masganilab/no-1-hpa-cell-tiles-sample-balanced", "kernel_id": "15223985"}, {"ref": "yuanfanyou/project", "kernel_id": "15710066"}, {"ref": "alexanderriedel/hpa-inferencing", "kernel_id": "15812775"}, {"ref": "chienhsianghung/hpa-eff-b7-train-all-4-channels", "kernel_id": "15955987"}, {"ref": "hissaan/hpa-pytorch-starter-kit-tpu-rgby-focalloss", "kernel_id": "15852589"}, {"ref": "zaakciiru/coco-json-single-label", "kernel_id": "15650208"}, {"ref": "hareem23/segmentation-and-classification", "kernel_id": "15362825"}, {"ref": "wangsihui/human-protein-atlas-cell-segmentation-eda", "kernel_id": "15625340"}, {"ref": "philiphucklesby/decoding-masks-from-the-rle-string", "kernel_id": "15273608"}, {"ref": "unkukjeong/notebookd8ea319370", "kernel_id": "15502843"}, {"ref": "durukoak/projet-ia", "kernel_id": "15999298"}, {"ref": "cotoga/coarse-refine-attention-patchgan-on-tpu-2", "kernel_id": "15858104"}, {"ref": "justinnafe/hpa-get-sample-data", "kernel_id": "16111035"}, {"ref": "aramos/hpa-competition-tfkeras-basemodel", "kernel_id": "16537505"}, {"ref": "aramos/generate-crop-sc-imgs-hpa", "kernel_id": "16184399"}, {"ref": "aramos/notebook-hpa-eda", "kernel_id": "16049816"}, {"ref": "junnanlu/hpa-1-segmentation", "kernel_id": "16680984"}, {"ref": "minniekabra/code-3may", "kernel_id": "16702789"}, {"ref": "aristotelisch/hpa-cellwise-classification-training", "kernel_id": "16164303"}, {"ref": "aristotelisch/hpa-classification-efnb7-train-13cc0d", "kernel_id": "16200807"}, {"ref": "aristotelisch/hpa-classification-efnb7-train", "kernel_id": "16187850"}, {"ref": "aristotelisch/efnb7-classification-model-added-to-cellwise-infer", "kernel_id": "16106831"}, {"ref": "haqishen/hpa-infer-v7-2", "kernel_id": "16901353"}, {"ref": "xcyang/notebook9428d2a49e", "kernel_id": "16159640"}, {"ref": "xcyang/hpa-transfer-learning", "kernel_id": "16333605"}, {"ref": "mpware/hpa-ensemble-v4-9", "kernel_id": "16850896"}, {"ref": "seefun/data-augmentation-for-4-channel-images", "kernel_id": "16327917"}, {"ref": "sgalib/0-495-private-single-model-puzzlecam", "kernel_id": "16944049"}, {"ref": "steamedsheep/hpa-cellslicing-ii-fix-256", "kernel_id": "16183483"}, {"ref": "steamedsheep/hpa-cellslicing-256-fix-i", "kernel_id": "16175093"}, {"ref": "steamedsheep/hpa-cellslicing-256-fix-external-i", "kernel_id": "16231538"}, {"ref": "steamedsheep/hpa-cellslicing-256-fix-external-ii", "kernel_id": "16231632"}, {"ref": "steamedsheep/hpa-cellslicing-256-fix-external-iii", "kernel_id": "16231661"}, {"ref": "steamedsheep/hpa-cellslicing-256-fix-external-rare-i", "kernel_id": "16290321"}, {"ref": "steamedsheep/hpa-final-submission-2-candidate-ii", "kernel_id": "16892595"}, {"ref": "nikhilpandey360/mmdetection-for-segmentation-inference", "kernel_id": "16046291"}, {"ref": "nikhilpandey360/pytorch-efficientnet-b5-tpu", "kernel_id": "16015502"}, {"ref": "inoueu1/hpa2021-p-all-1stx8-2ndx16-imgx16", "kernel_id": "16911350"}, {"ref": "mch123/ensemble-cell-transformer-2", "kernel_id": "16868354"}, {"ref": "zhan3002/zeyusss", "kernel_id": "16332761"}, {"ref": "lmwang4321/simple-segmentation-eda", "kernel_id": "16080157"}, {"ref": "vostankovich/crops-full-crops-full-arcface-ensemble-optimize", "kernel_id": "16674147"}, {"ref": "ahlnhn/submit-prediction", "kernel_id": "16338965"}, {"ref": "ahlnhn/run-final-submission", "kernel_id": "16906378"}, {"ref": "joven1997/full-data-timm-ensemble", "kernel_id": "16692703"}, {"ref": "username31299/ml-hpa", "kernel_id": "16604560"}, {"ref": "c7934597/cellwise-infer-efnb7-classification", "kernel_id": "16837436"}, {"ref": "kicksomeasphalt/cell-images-10k", "kernel_id": "16569052"}, {"ref": "benayang/fastai-classifier-v2-563bc4", "kernel_id": "16642691"}, {"ref": "kanada0727/3-model-b7", "kernel_id": "16916540"}, {"ref": "jitshil143/train-and-segmentation-hpa", "kernel_id": "16615176"}, {"ref": "jfraszczak/hpa-pipeline", "kernel_id": "16024177"}, {"ref": "jfraszczak/hpa-baseline-cell-segmentation", "kernel_id": "16040515"}, {"ref": "p4rallax/using-albumentations-with-fast-ai-datablock-api", "kernel_id": "16009926"}, {"ref": "p4rallax/hpa-tpu-tfrecs-cell-level-single-label-training", "kernel_id": "16079496"}, {"ref": "p4rallax/test-green-public-sub", "kernel_id": "16825684"}, {"ref": "scusywxy/quick-submission-template", "kernel_id": "16689944"}, {"ref": "scusywxy/infence-pytroch", "kernel_id": "16690094"}, {"ref": "dnmendes/human-protein-atlas-single-cell-classification", "kernel_id": "16379045"}, {"ref": "mrwhalen18/efficientnet-inference-even-faster", "kernel_id": "16598516"}, {"ref": "mrwhalen18/efficientnet-inference", "kernel_id": "16444366"}, {"ref": "krishnavaghosh/tpu-starter", "kernel_id": "16882810"}, {"ref": "krishnavaghosh/getting-started-using-basic-tensorflow-model", "kernel_id": "16470555"}, {"ref": "dragonzhang/human-protein-atlas", "kernel_id": "16196876"}, {"ref": "sunghyunjun/hpa-faster-final-ensemble-w-o-rot-exp-2", "kernel_id": "16897298"}, {"ref": "louieshao/fork-of-infer-offline-adjustable-ensemble-ic-fa", "kernel_id": "16882003"}, {"ref": "louieshao/hpa-training-tpu", "kernel_id": "16338533"}, {"ref": "louieshao/hpa-training-tpu-pseude-label-t", "kernel_id": "16484422"}, {"ref": "louieshao/hpa-classification-efnb7-train-tfrec", "kernel_id": "16365430"}, {"ref": "louieshao/0-354-efnb7-classification-weights-0-4-0-6-5dc58d", "kernel_id": "16103544"}, {"ref": "akimball002/hpa-2021-inference-and-submission-lb-0-47", "kernel_id": "16891875"}, {"ref": "akimball002/cell-does-not-stack-help", "kernel_id": "16570119"}, {"ref": "drtausamaru/hpa-ct-ill-inference-private", "kernel_id": "16853532"}, {"ref": "lawguorui/hpa-classification-efnb7-train", "kernel_id": "16333146"}, {"ref": "lawguorui/hpa-training", "kernel_id": "16216210"}, {"ref": "martintosstorff/hpa-data-cleaning", "kernel_id": "16448131"}, {"ref": "koichirokamada/0-354-efnb7-imb-classification-weights-mito", "kernel_id": "16907268"}, {"ref": "philipjamessullivan/main-hpa-overview-preprocessing", "kernel_id": "16132388"}, {"ref": "philipjamessullivan/hpa-visualize-bboxes", "kernel_id": "16090751"}, {"ref": "philipjamessullivan/2-combine-image-channels", "kernel_id": "16646728"}, {"ref": "philipjamessullivan/1-masks-bboxes-dataframe", "kernel_id": "16645875"}, {"ref": "jennaking/efficientnet-inference-64d735", "kernel_id": "16624293"}, {"ref": "offthewallace/mmdetection-for-segmentation-inference", "kernel_id": "16621922"}, {"ref": "offthewallace/mmdetection-for-segmentation-training", "kernel_id": "16621843"}, {"ref": "yanchen2020/notebook2-cv-project", "kernel_id": "16089114"}, {"ref": "yanchen2020/hpa-cv-project1-chenyan", "kernel_id": "16089960"}, {"ref": "yanchen2020/hpa-nfnets-cv-project-final", "kernel_id": "16090383"}, {"ref": "yanchen2020/cy1inference-cellwise-classification-inference", "kernel_id": "16098896"}, {"ref": "yanchen2020/cy1hpa-cellwise-classification-training-c4f8dc", "kernel_id": "16174721"}, {"ref": "lucamtb/hpa-make-prediction-with-fast-mask-inference", "kernel_id": "16060840"}, {"ref": "wzfwonderful/notebookbda6e9cf5b", "kernel_id": "16743802"}, {"ref": "wzfwonderful/fastai-cell-tile-prototyping-training", "kernel_id": "16710024"}, {"ref": "wzfwonderful/resnet18-balanced-dataset", "kernel_id": "16522940"}, {"ref": "wzfwonderful/fastai-quick-submission-template", "kernel_id": "16628115"}, {"ref": "wzfwonderful/efnb7-classification-model-added-to-cellwise-infer", "kernel_id": "16620257"}, {"ref": "wzfwonderful/format-test", "kernel_id": "16021444"}, {"ref": "wzfwonderful/resnet50", "kernel_id": "16338512"}, {"ref": "utains/classification-hpa", "kernel_id": "16116379"}, {"ref": "jiayuexu/hpa-cellwise-classification-demo", "kernel_id": "16222196"}, {"ref": "jiayuexu/hpa-cellwise-classification-training", "kernel_id": "16154522"}, {"ref": "dangn511/hpa-cellwise-classification-training", "kernel_id": "16159929"}, {"ref": "andrewscholan/hpa21-cellpose-eda-public", "kernel_id": "16022888"}, {"ref": "yuanfanyou/512-512-rgb-image", "kernel_id": "16365315"}, {"ref": "alexanderriedel/hpa-classification-efnb7-train", "kernel_id": "16220291"}, {"ref": "chienhsianghung/fork-of-cellwise-infer-efnb7-classification", "kernel_id": "16674800"}, {"ref": "chienhsianghung/cellwise-infer-efnb7-classification", "kernel_id": "16452150"}, {"ref": "chienhsianghung/hpa-cellwise-classification-training", "kernel_id": "16440007"}, {"ref": "h053473666/0-354-efnb7-classification-weights-0-4-0-6", "kernel_id": "16032178"}, {"ref": "h053473666/classification-label-csv-green", "kernel_id": "16011322"}, {"ref": "h053473666/hpa-classification-efnb7-train", "kernel_id": "16017213"}, {"ref": "h053473666/hpa-yolo-txt", "kernel_id": "16260506"}, {"ref": "h053473666/hpa-yolov5-train-all-fine", "kernel_id": "16821002"}, {"ref": "h053473666/hpa-yolov5-ensemble-final", "kernel_id": "16869767"}, {"ref": "h053473666/hpa-yolov5-train-all", "kernel_id": "16777480"}, {"ref": "hissaan/cross-stage-partial-networks-on-resnext", "kernel_id": "16020471"}, {"ref": "hissaan/bottleneck-transformers-for-visual-recognition", "kernel_id": "16020002"}, {"ref": "nobatgeldi/hpa-cellwise-classification-training", "kernel_id": "16156195"}, {"ref": "nobatgeldi/hpa-classification-effnetb5-train", "kernel_id": "16045080"}, {"ref": "olgapuntous/hpa-final-submission-1", "kernel_id": "16036373"}, {"ref": "philiphucklesby/dataministic-with-cellseg", "kernel_id": "16840074"}, {"ref": "banaabdallah/hpa-pred-an-3", "kernel_id": "16861996"}, {"ref": "banaabdallah/hpa-pred-an-2", "kernel_id": "16861821"}, {"ref": "banaabdallah/hpa-pred-an", "kernel_id": "16791267"}, {"ref": "banaabdallah/hpa-train-data-processing", "kernel_id": "16087451"}, {"ref": "antoreepjana/hpa-classification-efnb-7-4-1-focal-l-train", "kernel_id": "16707195"}, {"ref": "flarszk/fastai-classifier-v2", "kernel_id": "16619780"}, {"ref": "flarszk/hpa-classification-basic-efficientnet-model", "kernel_id": "16274405"}, {"ref": "scottbamford/hyperparameter-tuning", "kernel_id": "16920321"}, {"ref": "scottbamford/resnet152-training", "kernel_id": "16863215"}, {"ref": "scottbamford/resnet152v2-training", "kernel_id": "16685606"}, {"ref": "koltaibeatrix/hpa-single-cell-classification-submission-2", "kernel_id": "16915793"}, {"ref": "niveditachinnakannu/new-test1", "kernel_id": "16706095"}, {"ref": "luyawang/cellwise-infer-efnb7-classification-620c66", "kernel_id": "16581634"}, {"ref": "luyawang/hpa-cellwise-classification-training", "kernel_id": "16542291"}, {"ref": "krishnachurghosh/hpa-fastai-baseline", "kernel_id": "16841786"}, {"ref": "quochungto/32nd-place-solution-inference-notebook-hpa", "kernel_id": "16109239"}, {"ref": "pumpkinstay/rle-box", "kernel_id": "16368106"}, {"ref": "avinashkharche/version-2", "kernel_id": "16901034"}, {"ref": "varadjunnarkar/single-cell-classification-tpu", "kernel_id": "16075587"}, {"ref": "varadjunnarkar/hpa-classification", "kernel_id": "16226749"}, {"ref": "aditimulye/hpa-classification-efnb7-train", "kernel_id": "16386679"}, {"ref": "kikiwang33/zeyuzzz", "kernel_id": "16337998"}, {"ref": "sabinre/analyse-protein-eda", "kernel_id": "16991856"}, {"ref": "nguyenhuudat/visualize-data", "kernel_id": "17077937"}, {"ref": "nguyenhuudat/main-hpa", "kernel_id": "17248391"}, {"ref": "username31299/notebookdfe7e4d66a", "kernel_id": "17084290"}, {"ref": "username31299/main-hpa", "kernel_id": "17237857"}, {"ref": "sai11fkaneko/hpa-inference", "kernel_id": "17007436"}, {"ref": "siddharth1100/number-2-hpa-infer-v7-2", "kernel_id": "17848167"}, {"ref": "adiloc/hpa-htc-swin-transformer-eda-and-training", "kernel_id": "17596252"}, {"ref": "adiloc/hpa-htc-swintransformer-backbone-inference", "kernel_id": "17524170"}, {"ref": "philiphucklesby/intuition-of-ap-score", "kernel_id": "17881029"}, {"ref": "scottbamford/inceptresnetv2-training-testing", "kernel_id": "17021869"}, {"ref": "avinashkharche/hpa-approach-final", "kernel_id": "17057513"}, {"ref": "avinashkharche/version-3", "kernel_id": "17034020"}, {"ref": "datnguyenhuu/notebookd816d61bc9", "kernel_id": "17075788"}, {"ref": "amiomri/mask-rcnn-of-mmdetection-hpa-segmentation", "kernel_id": "17098135"}, {"ref": "corochann/python-script-example", "kernel_id": "18706656"}, {"ref": "mramoeba/deep-learning-assignment", "kernel_id": "19101645"}, {"ref": "roywollman/hpa-public-data-download-and-hpacellseg", "kernel_id": "20672698"}, {"ref": "roywollman/human-protein-atlas-cell-segmentation-eda", "kernel_id": "20673443"}, {"ref": "steamedsheep/hpa-gradcam-of-dual-head-model", "kernel_id": "21168549"}, {"ref": "steamedsheep/segment-cam-draft-of-sub-of-jakiro-model-zhizi", "kernel_id": "21144562"}, {"ref": "awsaf49/sartorius-mmdetection-train", "kernel_id": "21324123"}, {"ref": "awsaf49/sartorius-mmdetection-infer", "kernel_id": "21326606"}, {"ref": "h2bach/hpascc-with-efficientnetb5", "kernel_id": "26982537"}, {"ref": "sameedhusain/fork-of-dual-net-hpa-f42ff1", "kernel_id": "36884733"}, {"ref": "derekxue/humanproteincell", "kernel_id": "42416003"}, {"ref": "aicheck/cbnetv2-notebook-with-mmdetectionv280", "kernel_id": "54321911"}, {"ref": "wufawutian1/wutian-inference", "kernel_id": "54398165"}, {"ref": "zainabe/brain-tumor", "kernel_id": "55843370"}, {"ref": "mariamelsherbeny/eda-image-segmentation", "kernel_id": "55715953"}, {"ref": "sarvendrazvs/single-cell-subcellular-protein-localisation-using", "kernel_id": "56404296"}, {"ref": "starry001/supervised-contrastive-learning", "kernel_id": "58240925"}, {"ref": "ratidi/compare", "kernel_id": "65942019"}, {"ref": "ajitsingh05/clustering-human-atlas-data", "kernel_id": "77601669"}, {"ref": "julianamidlej/hpa-public-submission", "kernel_id": "79901107"}, {"ref": "aagamb/ml-cutmix-focal", "kernel_id": "79133390"}, {"ref": "aagamb/ml-cutmix-bce", "kernel_id": "79155292"}, {"ref": "weiyingsvk/weak-supervision-prepare", "kernel_id": "82873373"}, {"ref": "weiyingsvk/mmdetection-for-segmentation-inference-raw", "kernel_id": "83422932"}, {"ref": "weiyingsvk/hpa-final-submission-self-predicted", "kernel_id": "83435573"}, {"ref": "weiyingsvk/mmdetection-for-segmentation-20", "kernel_id": "83866103"}, {"ref": "weiyingsvk/mmdetection-for-segmentation-inference-train-dow", "kernel_id": "83868599"}, {"ref": "weiyingsvk/0-003-b5-mmdetection", "kernel_id": "84935651"}, {"ref": "weiyingsvk/step-2-real-weak-supervision-prepare-for-20-80", "kernel_id": "84805346"}, {"ref": "weiyingsvk/weak-testry-0-003-0-2-0-4-of-mmdetection-for-segme", "kernel_id": "84807062"}, {"ref": "weiyingsvk/real-weak-supervision-0-2-0-83-with-old-model", "kernel_id": "84848752"}, {"ref": "weiyingsvk/try-0-003-0-2-0-4-of-mmdetection-for-segmentation", "kernel_id": "84785997"}, {"ref": "weiyingsvk/step-1-mmdetection-for-segmentation-20-inference", "kernel_id": "84263862"}, {"ref": "weiyingsvk/real-0-2-0-83-b5-mmdetection", "kernel_id": "84503002"}, {"ref": "sun20030124yy/real-0-2-0-83-b5-mmdetection-run-only", "kernel_id": "84945117"}, {"ref": "sun20030124yy/2-0-0-003-los-weight-model-single-train", "kernel_id": "84964316"}, {"ref": "weiyingsvk/test-step-2-real-0-2-0-4-first-90-cell-crops", "kernel_id": "85423108"}, {"ref": "weiyingsvk/edit-0-2-0-83-los-weight-train-run-only", "kernel_id": "85347264"}, {"ref": "weiyingsvk/step-3-real-weak-supervision-for-new-model-7-20", "kernel_id": "85704852"}, {"ref": "weiyingsvk/new-model-train-cell-type", "kernel_id": "85813298"}, {"ref": "sun20030124yy/real-0-2-0-83-new-model-single-train", "kernel_id": "85180535"}, {"ref": "sun20030124yy/test-0-2-0-4-try-0-2", "kernel_id": "85312968"}, {"ref": "sun20030124yy/new-model-train-cell-type", "kernel_id": "85883242"}, {"ref": "weiyingsvk/step-3-real-weak-supervision-for-new-model-4", "kernel_id": "87574109"}, {"ref": "weiyingsvk/hpa2021-p-all-1stx8-2ndx16-imgx16", "kernel_id": "87266650"}, {"ref": "weiyingsvk/hpa2021-10-kiwi", "kernel_id": "87776121"}, {"ref": "sun20030124yy/inference-training-data", "kernel_id": "87778287"}, {"ref": "sun20030124yy/7-24-layer-1-2-step-3-real-weak-supervision", "kernel_id": "87750036"}, {"ref": "vickykiwisy/hpa2021-10", "kernel_id": "87802643"}, {"ref": "vickykiwisy/7-30-inference-test-data-resnut18-b3-3456", "kernel_id": "88184402"}, {"ref": "vickykiwisy/train-7-29-resnet18-b3-all", "kernel_id": "88194159"}, {"ref": "wufawutian1/hpa-infer", "kernel_id": "92810088"}, {"ref": "julianamidlej/hpa-baseline-public-submission", "kernel_id": "105722969"}, {"ref": "julianamidlej/1-hpa-cp-public-submission", "kernel_id": "111578630"}, {"ref": "julianamidlej/2nd-hpa-public-submission", "kernel_id": "111248291"}]}
{"competition_id": "23825", "kernels": []}
{"competition_id": "23831", "kernels": [{"ref": "vgverdejo/baseline", "kernel_id": "12952897"}]}
{"competition_id": "23836", "kernels": []}
{"competition_id": "23837", "kernels": []}
{"competition_id": "23846", "kernels": []}
{"competition_id": "23847", "kernels": [{"ref": "yonseieomjihwan/just-drop-baseline-pb-0-04597", "kernel_id": "13170906"}, {"ref": "kimhyoungminhass20/notebookcecd5dfd13", "kernel_id": "13013759"}, {"ref": "wooyungkim/notebooke29513743f", "kernel_id": "13591151"}]}
{"competition_id": "23862", "kernels": []}
{"competition_id": "23870", "kernels": [{"ref": "abhishek/ranzcr-tez-inference-efficientnet5-512-tta", "kernel_id": "13828403"}, {"ref": "abhishek/ranzcr-tez-training-efficientnet-5", "kernel_id": "13828533"}, {"ref": "mathurinache/ranzcr-efficientnet-tpu-training-4d7e06", "kernel_id": "13709625"}, {"ref": "spiroganas/healthcare-deep-learning-chapter-8", "kernel_id": "13521735"}, {"ref": "titericz/baseline-mean-average", "kernel_id": "13520633"}, {"ref": "titericz/baseline-transfer-learning-randomforest-gpu", "kernel_id": "13517902"}, {"ref": "danofer/ranzcr-chexnet-starter", "kernel_id": "13745306"}, {"ref": "danofer/ranzcr-chexnet-x-ray-transfer-learning-extractor", "kernel_id": "13701384"}, {"ref": "jarrelscy/clip-segmentation-visualization", "kernel_id": "13529758"}, {"ref": "virilo/ranzcr-clip-stratified-kfold-to-team-up-v3", "kernel_id": "13733701"}, {"ref": "tolgadincer/ranzcr-clip-eda", "kernel_id": "13518707"}, {"ref": "raddar/simple-ett-bifurcation-visualization", "kernel_id": "13858798"}, {"ref": "raddar/errors-in-ett-abnormal-labels", "kernel_id": "13859645"}, {"ref": "raddar/simple-lung-contour-visualization", "kernel_id": "13854936"}, {"ref": "raddar/cvc-categories-explained-with-examples", "kernel_id": "13900764"}, {"ref": "ttahara/ranzcr-multi-head-model-inference", "kernel_id": "13848868"}, {"ref": "ttahara/ranzcr-multi-head-model-training", "kernel_id": "13827461"}, {"ref": "bjoernholzhauer/inference-for-trained-fastai-efficientnet-b4", "kernel_id": "13536669"}, {"ref": "bjoernholzhauer/fastai-how-to-set-up-efficientnet-b4-0-945-lb", "kernel_id": "13518792"}, {"ref": "thoolihan/explorelabelsinr", "kernel_id": "13601921"}, {"ref": "kupchanski/pytorch-train-baseline-resnext-training-and-infer", "kernel_id": "13526897"}, {"ref": "philippschwarz/ranzcr-lung-mask-model-not-pretrained", "kernel_id": "13967390"}, {"ref": "philippschwarz/ranzcr-lung-mask-transfer-learning", "kernel_id": "13945411"}, {"ref": "tanlikesmath/ranzcr-clip-a-simple-eda-and-fastai-starter", "kernel_id": "13517383"}, {"ref": "isaienkov/ranzcr-clip-data-understanding", "kernel_id": "13518065"}, {"ref": "tahsin/fast-resnest-with-focalcosine-loss", "kernel_id": "13519971"}, {"ref": "msafi04/ranzcr-clip-catheter-classification-eda", "kernel_id": "13522435"}, {"ref": "ar2017/ranzcr-pytorch-resnet200d-train", "kernel_id": "13852936"}, {"ref": "aarthialagammai/data-understanding-and-basic-eda", "kernel_id": "13532640"}, {"ref": "harveenchadha/efficientnetb3-tf2-keras-baseline", "kernel_id": "13523105"}, {"ref": "harveenchadha/efficientnetb3-tf2-keras-baseline-inference", "kernel_id": "13535513"}, {"ref": "ihelon/catheter-position-exploratory-data-analysis", "kernel_id": "13518193"}, {"ref": "docxian/ranzcr-clip-target-structure-analysis", "kernel_id": "13596553"}, {"ref": "dannellyz/shrink-wasted-space-87-and-increase-data-pts-4x", "kernel_id": "13762810"}, {"ref": "ankursingh12/fastai-less-code-more-score-training", "kernel_id": "13842420"}, {"ref": "guochangzhang/notebook16357374be", "kernel_id": "13746579"}, {"ref": "hamditarek/catheter-and-line-position-challenge-eda", "kernel_id": "13525253"}, {"ref": "yasufuminakama/ranzcr-resnext50-32x4d-starter-inference", "kernel_id": "13525908"}, {"ref": "yasufuminakama/ranzcr-resnext50-32x4d-starter-training", "kernel_id": "13517590"}, {"ref": "yasufuminakama/ranzcr-resnet200d-3-stage-training-sub", "kernel_id": "13898599"}, {"ref": "yasufuminakama/ranzcr-resnet200d-3-stage-training-step3", "kernel_id": "13895068"}, {"ref": "yasufuminakama/ranzcr-resnet200d-3-stage-training-step2", "kernel_id": "13885347"}, {"ref": "yasufuminakama/ranzcr-resnet200d-3-stage-training-step1", "kernel_id": "13884490"}, {"ref": "khoongweihao/x-ray-needle-augmentation-et-al", "kernel_id": "13871913"}, {"ref": "fanbyprinciple/ranzcr-fastai", "kernel_id": "13592319"}, {"ref": "mylonsong/ranzcr-resnext50-32x4d-starter-inference-1", "kernel_id": "13532558"}, {"ref": "rahulbana/explore-ranzcr-clip-catheter-line-classification", "kernel_id": "13535248"}, {"ref": "moshel/how-to-display-the-segmentation", "kernel_id": "13619397"}, {"ref": "razatabish/ranzr-clip-train-pytorch", "kernel_id": "13589588"}, {"ref": "ipythonx/keras-ranzcr-multi-attention-efficientnet-tpu", "kernel_id": "13557724"}, {"ref": "ipythonx/keras-long-range-interaction-with-lamdadensenet", "kernel_id": "13820116"}, {"ref": "slm37102/ranzcr-clip-fastai-starter", "kernel_id": "13537192"}, {"ref": "ssarkar445/catheter-line-starter-code", "kernel_id": "13673322"}, {"ref": "pranav10000/ranzcr-efficientnet", "kernel_id": "13541023"}, {"ref": "xhlulu/ranzcr-efficientnet-submission", "kernel_id": "13521245"}, {"ref": "xhlulu/comparing-column-wise-auc-vs-flattened-auc", "kernel_id": "13523411"}, {"ref": "xhlulu/ranzcr-efficientnet-tpu-training", "kernel_id": "13519646"}, {"ref": "xhlulu/ranzcr-efficientnet-gpu-starter-train-submit", "kernel_id": "13518074"}, {"ref": "tiagotoledojr/ranzcr-clip-eda", "kernel_id": "13529105"}, {"ref": "ameya98/efficientnet-tpu", "kernel_id": "13536680"}, {"ref": "ameya98/efficientnet-submission", "kernel_id": "13702907"}, {"ref": "ahmedewida/ranzcr-resnext50-32x4d-parameters", "kernel_id": "13533151"}, {"ref": "tt195361/ranzcr-check-train-tfrecords", "kernel_id": "13954405"}, {"ref": "user123454321/pytorch-efficientnet7-starter", "kernel_id": "13884756"}, {"ref": "user123454321/pytorch-densenet201-starter", "kernel_id": "13872653"}, {"ref": "ptran1203/ranzcr-efficientnetb5-tf2-inference", "kernel_id": "13623632"}, {"ref": "bipinkrishnan/efficientnet-b2-no-cross-validation-lb-0-921", "kernel_id": "13773839"}, {"ref": "bipinkrishnan/ranzcr-clip-inference-notebook", "kernel_id": "13823321"}, {"ref": "bipinkrishnan/detailed-resource-notebook-eda-for-beginners", "kernel_id": "13589667"}, {"ref": "venkat555/ranzcr-clip-tpu-densenet-with-kfold-inference", "kernel_id": "13541999"}, {"ref": "venkat555/ranzcr-clip-tpu-densenet-with-kfold", "kernel_id": "13519257"}, {"ref": "drcapa/catheter-line-position-eda-keras-starter", "kernel_id": "13517186"}, {"ref": "drcapa/catheter-line-position-tpu-tutorial", "kernel_id": "13898606"}, {"ref": "giorgosanastasakos/ranzcr-catheter", "kernel_id": "13538275"}, {"ref": "reighns/amp-ranzcr-pytorch-pipeline", "kernel_id": "13933994"}, {"ref": "dmikar/ranzcr-keras-2-level-classification", "kernel_id": "13536137"}, {"ref": "prateek0x/stratified-groupkfold-with-efn-tfrecords", "kernel_id": "13962414"}, {"ref": "doanquanvietnamca/first-eda-starter", "kernel_id": "13518090"}, {"ref": "doanquanvietnamca/ranzcr-efficientnet-tpu-training", "kernel_id": "13564855"}, {"ref": "sinamhd9/keras-models-tensorflow-data-dataset-tpu-part2", "kernel_id": "13577502"}, {"ref": "sinamhd9/keras-models-tensorflow-data-dataset-tpu-part1", "kernel_id": "13574853"}, {"ref": "jackstapleton/rccl-1x144-f-train", "kernel_id": "13783934"}, {"ref": "jackstapleton/rccl-1x144-f-inference", "kernel_id": "13791050"}, {"ref": "jackstapleton/rccl-384-inference", "kernel_id": "13874621"}, {"ref": "yash2410/ranzcr-clip-indepth-eda", "kernel_id": "13532447"}, {"ref": "jasonkwm/tube-placement", "kernel_id": "13627860"}, {"ref": "jasonkwm/ranzcr-efficientnetb4-submission", "kernel_id": "13952043"}, {"ref": "mohamed3abdelrazik/ranzcr-resnet200d-3-stage-training-step1", "kernel_id": "13925180"}, {"ref": "wuhanxin01/kaggle-test", "kernel_id": "13895764"}, {"ref": "wuhanxin01/notebookeeabfa8aab", "kernel_id": "13889033"}, {"ref": "wuhanxin01/first-vsersion", "kernel_id": "13918451"}, {"ref": "nayuts/ranzcr-clip-visualize-and-understand-dataset", "kernel_id": "13519670"}, {"ref": "josecarmona/ranzcr-eda-level-2", "kernel_id": "13682845"}, {"ref": "josecarmona/ranzcr-simple-x-ray-viewer", "kernel_id": "13708300"}, {"ref": "josecarmona/ranzcr-grad-cam-viewer", "kernel_id": "13981986"}, {"ref": "maksymshkliarevskyi/ranzcr-xception-tpu-baseline", "kernel_id": "13538651"}, {"ref": "maksymshkliarevskyi/ranzcr-xception-tpu-prediction", "kernel_id": "13542132"}, {"ref": "elvinagammed/eda-fast-ai-modeling", "kernel_id": "13593874"}, {"ref": "elvinagammed/inceptionresnetv2-tpu-training", "kernel_id": "13575900"}, {"ref": "ertugrulreis/ranzcr-clip-eda", "kernel_id": "13705296"}, {"ref": "shyamgupta196/ranczr-clip-detection-using-pytorch-part-1-eda", "kernel_id": "13793307"}, {"ref": "debarshichanda/some-interesting-discoveries", "kernel_id": "13519959"}, {"ref": "oberfink/fastai-bayesian-optimization", "kernel_id": "13924804"}, {"ref": "tpothjuan/efficientnetb7-tfrecords", "kernel_id": "13942867"}, {"ref": "underwearfitting/how-to-properly-split-folds", "kernel_id": "13539990"}, {"ref": "vyombhatia/tutorial-less-lines-of-code-and-explanation", "kernel_id": "13668722"}, {"ref": "alghanirfan/ranzcr-pytorch-resnet-50-training", "kernel_id": "13821977"}, {"ref": "foolofatook/ranzcr-clip-one-stop-for-all-eda-needs", "kernel_id": "13522785"}, {"ref": "shanmukh05/ranzcr-clip-tpu-submission", "kernel_id": "13676994"}, {"ref": "shanmukh05/ranzcr-clip-tpu", "kernel_id": "13584346"}, {"ref": "shanmukh05/ranzcr-clip-gpu", "kernel_id": "13526332"}, {"ref": "tikotakakiko/plant-pathology-2020-tenserflow-tpu", "kernel_id": "13848003"}, {"ref": "robertlangdonvinci/fastai-efficientnetb5-custom-metrics", "kernel_id": "13537184"}, {"ref": "robertlangdonvinci/image-resizing-512-256-128", "kernel_id": "13518215"}, {"ref": "abdelfettahelaanba/ranzcr-catheter-resnet", "kernel_id": "13794610"}, {"ref": "saztorralba/ranzcrclip-multiheadrescnn-pytorch", "kernel_id": "13637913"}, {"ref": "ivanmordovetc/ranzcr-efficientnetb7-baseline-tpu-training", "kernel_id": "13793353"}, {"ref": "willsoares1/ranzcr-clip-eda", "kernel_id": "13533741"}, {"ref": "kyleberdy/advanced-image-preprocessing-with-clahe", "kernel_id": "13945005"}, {"ref": "k39241/ranzcr-with-tfrecords", "kernel_id": "13755416"}, {"ref": "amitalexander/ranzcr-clip-exploratory-data-analysis", "kernel_id": "13529853"}, {"ref": "francescosantoriello/ranzcr-resnext50-32x4d-starter-training", "kernel_id": "13850547"}, {"ref": "eutechsystemltd/ranzcr-eutech", "kernel_id": "13922104"}, {"ref": "raddar/ranzcr-split-train-to-foldwise-tfrecords", "kernel_id": "14416525"}, {"ref": "jy2tong/efficientnet-b2-soft-attention", "kernel_id": "14570708"}, {"ref": "indhira/notebook4ce55427ea", "kernel_id": "14425378"}, {"ref": "aravindpadman/efficientnet-inference", "kernel_id": "14298658"}, {"ref": "philippschwarz/ranzcr-create-stratified-kfold-preprocessing", "kernel_id": "14006326"}, {"ref": "iraqai/deit-facebook-pytorch-lightning-aug-tpu-gpu", "kernel_id": "14706688"}, {"ref": "ryches/segmentation-model", "kernel_id": "14512057"}, {"ref": "iamprateek/ranzcr-tpu", "kernel_id": "14814599"}, {"ref": "j2hoon85/tutorial-of-ranzcr-eda", "kernel_id": "14771728"}, {"ref": "ragnar123/ranzcr-efficientnetb7-baseline", "kernel_id": "14862849"}, {"ref": "ragnar123/ranzcr-effb6-effb7-blend-inference-tf", "kernel_id": "14840978"}, {"ref": "ragnar123/ranzcr-efficientnetb6-baseline", "kernel_id": "14830389"}, {"ref": "hazemm/classification-with-bit", "kernel_id": "14562615"}, {"ref": "aryaman1999/clearing-the-fog-outta-those-catheters", "kernel_id": "14731119"}, {"ref": "prvnkmr/problem-metric-explained-auc", "kernel_id": "14182095"}, {"ref": "prvnkmr/ranzcr-tf-baseline-lb-0-908", "kernel_id": "14203766"}, {"ref": "prvnkmr/radiographic-assessment-of-tubes-and-lines", "kernel_id": "14118382"}, {"ref": "prvnkmr/walk-down-of-domain-understanding", "kernel_id": "14120682"}, {"ref": "fyuta24/ranzcr-simple-annotation-visualization", "kernel_id": "14220039"}, {"ref": "ghaiyur/ranzcr-resnet", "kernel_id": "14767736"}, {"ref": "york33/data-browsing-with-interactive-matplotlib-view", "kernel_id": "14558856"}, {"ref": "tolgahancepel/catheter-position-eda-and-prediction-on-gpu", "kernel_id": "14015577"}, {"ref": "chizuchizu/ranzcr-with-pytorch-lightning-sample", "kernel_id": "14579080"}, {"ref": "marcelbischoff/ranzcr-quick-submission-template", "kernel_id": "14125540"}, {"ref": "darthgera/ranczr-baseline", "kernel_id": "14005316"}, {"ref": "venkat555/ranzcr-clip-tpu-efficientnets-with-kfold", "kernel_id": "14614042"}, {"ref": "venkat555/ranzcr-clip-tpu-effb0-infe", "kernel_id": "14629402"}, {"ref": "heyytanay/ranzcr-complete-modular-pytorch-trainer", "kernel_id": "14645570"}, {"ref": "heyytanay/comparing-effnets-and-nfnets-agc-augs", "kernel_id": "14980284"}, {"ref": "heyytanay/torch-trainer-augmentations-nfnets", "kernel_id": "14906269"}, {"ref": "shivanandmn/self-supervise-momentum-contrast-great-idea", "kernel_id": "14784724"}, {"ref": "prateek0x/creating-stratified-groupkfold-tfrecords-256x256", "kernel_id": "14004576"}, {"ref": "deshwalmahesh/you-ve-been-looking-at-the-cnn-the-wrong-way", "kernel_id": "14421837"}, {"ref": "mohamed3abdelrazik/ranzcr-resnet200d-3-stage-train-step-1f4", "kernel_id": "14225865"}, {"ref": "mohamed3abdelrazik/ranzcr-resnet200d-3-stage-train-step-1f-2", "kernel_id": "14196786"}, {"ref": "mohamed3abdelrazik/ranzcr-resnet200d-3-stage-training-step-1f-1", "kernel_id": "14196194"}, {"ref": "mohamed3abdelrazik/ranzcr-resnet200d-3-stage-train-step-1f-3", "kernel_id": "14197348"}, {"ref": "mohamed3abdelrazik/ranzcr-resnet200d-3-stage-train-step-1f-4", "kernel_id": "14197964"}, {"ref": "mohamed3abdelrazik/ranzcr-resnet200d-3-stage-train-step2-f0", "kernel_id": "14208095"}, {"ref": "akashadesai/catheter-position-eda", "kernel_id": "14407649"}, {"ref": "amritpal333/understanding-image-augmentation-ranzcr-comp", "kernel_id": "14303760"}, {"ref": "amritpal333/finding-standard-deviation-for-your-data", "kernel_id": "14306164"}, {"ref": "yash88/yash88-ranzcr-resnext50-32x4d-starter-training", "kernel_id": "14766831"}, {"ref": "alisherianvar/ranzcr-target-class-eda-and-5-fold-split", "kernel_id": "14123499"}, {"ref": "yuhanye/xception-inceptionresnetv2-750", "kernel_id": "14984774"}, {"ref": "reubenschmidt/how-to-use-google-colab-for-extra-tpu-gpu", "kernel_id": "14116318"}, {"ref": "frankmollard/catheter-and-line-position-xception", "kernel_id": "14027827"}, {"ref": "cthmayo/efficientnetb0-inference", "kernel_id": "14421339"}, {"ref": "ammarali32/seresnet152d-inference-single-model-lb-96-2", "kernel_id": "14456355"}, {"ref": "ammarali32/efficientnetb5-inference-single-model", "kernel_id": "14476794"}, {"ref": "ammarali32/resnet200d-inference-single-model-lb-96-5", "kernel_id": "14541673"}, {"ref": "tomohiroh/ranzcr", "kernel_id": "14810868"}, {"ref": "yerramvarun/learnable-histograms-implementation", "kernel_id": "14594193"}, {"ref": "benjaminmclean/notebook12839ea97b", "kernel_id": "14394045"}, {"ref": "digvijayyadav/ranzcr-clip-resnet50-submissions", "kernel_id": "14136061"}, {"ref": "digvijayyadav/ranzcr-clip-exploration-with-xceptionnet", "kernel_id": "14141912"}, {"ref": "digvijayyadav/keras-ranzcr-clip", "kernel_id": "14124222"}, {"ref": "akhileshdkapse/nih-x-ray-multilabel-classification-tpu-guide", "kernel_id": "14748712"}, {"ref": "pierretihon/a-homemade-tensorflow-model", "kernel_id": "14288462"}, {"ref": "kengofujii/resnet200d-efficinetnet", "kernel_id": "14728179"}, {"ref": "debarshichanda/seresnext50-but-with-attention", "kernel_id": "14997696"}, {"ref": "sanchitvj/stratified-k-fold-and-multiple-configs", "kernel_id": "14684122"}, {"ref": "ajwadakil/ranzr-catheter", "kernel_id": "14971025"}, {"ref": "underwearfitting/single-fold-training-of-resnet200d-lb0-965", "kernel_id": "14022433"}, {"ref": "underwearfitting/resnet200d-public-benchmark-2xtta-lb0-965", "kernel_id": "14019702"}, {"ref": "vyombhatia/latest-model-with-explanation", "kernel_id": "14515784"}, {"ref": "vyombhatia/vision-transformers-but-simpler", "kernel_id": "14220074"}, {"ref": "nalinnagar/baselineranzcr", "kernel_id": "14111618"}, {"ref": "stanleyhua/ranzcr-clip-learnai20-model-submission", "kernel_id": "14892405"}, {"ref": "wenkangzhang/single-fold-training-of-resnet200d-lb0-965", "kernel_id": "14176329"}, {"ref": "wenkangzhang/notebook709e867ef0", "kernel_id": "14007205"}, {"ref": "fauzanalfariz/ranzcr-detection-with-xception", "kernel_id": "14534363"}, {"ref": "fauzanalfariz/ranzcr-final-session-using-xception", "kernel_id": "14973801"}, {"ref": "bbalrangco/ranzcr-efficientnet-first", "kernel_id": "14975458"}, {"ref": "nickthenick23/ranzr-inception-v4-training", "kernel_id": "14862060"}, {"ref": "nickthenick23/ranzr-inceptionv4-inference", "kernel_id": "14869599"}, {"ref": "apurbasarkar/rancr-final-sub-with-inceptionnetv3-trained-model", "kernel_id": "14675554"}, {"ref": "stefanoclss/resnet-rancr", "kernel_id": "14701212"}, {"ref": "bindu6/final", "kernel_id": "14222175"}, {"ref": "koubou/ranzcr-efficientnet-gpu", "kernel_id": "14701695"}, {"ref": "parthdhameliya77/ranzcr-clip-eda-class-imbalance-patient-overlap", "kernel_id": "14516646"}, {"ref": "luigimaiese/ranzcr-resnext50-32x4d-starter-training", "kernel_id": "14069211"}, {"ref": "hackspyder/eda-catheter-position", "kernel_id": "14038580"}, {"ref": "mohamedyousef95/ranzcr-resnet200d-step-2f3", "kernel_id": "14225183"}, {"ref": "mohamedyousef95/ranzcr-step3f0", "kernel_id": "14231490"}, {"ref": "mohamedyousef95/ranzcr-step3f2", "kernel_id": "14254880"}, {"ref": "mohamedyousef95/ranzcr-step3f1", "kernel_id": "14252613"}, {"ref": "mohamedyousef95/my-trial-for-increase-training-epochs-fold-2", "kernel_id": "14364564"}, {"ref": "okjinhae/pytorch-efficientnet7-starter", "kernel_id": "14975403"}, {"ref": "shash152543/ranzcr-tez-inference-25model", "kernel_id": "15237130"}, {"ref": "aaronbornstein/iterating-ranzcr-baselines-in-a-flash", "kernel_id": "15541287"}, {"ref": "vaillant/ranz-inference-ensemble-effnet-b6", "kernel_id": "15541400"}, {"ref": "something4kag/ranzcr-tracheal-bifurcations-datasets-viz-5k-csv", "kernel_id": "15190443"}, {"ref": "haqishen/ranzcr-1st-place-soluiton-seg-model-small-ver", "kernel_id": "15591405"}, {"ref": "haqishen/ranzcr-1st-place-soluiton-cls-model-small-ver", "kernel_id": "15591593"}, {"ref": "haqishen/ranzcr-1st-place-soluiton-inference-small-ver", "kernel_id": "15591628"}, {"ref": "ttahara/ranzcr-ensemble-fine-tuned-multi-head-models", "kernel_id": "15420243"}, {"ref": "bjoernholzhauer/ranzcr-put-training-data-into-shelve", "kernel_id": "15470484"}, {"ref": "kozodoi/71st-place-ensembling-pipeline", "kernel_id": "15587798"}, {"ref": "tusonggao/efficientnet-pytorch-baseline-train-starter-code", "kernel_id": "15665839"}, {"ref": "tusonggao/ranzcr-clip-remove-black-border-for-training-data", "kernel_id": "15510184"}, {"ref": "tiandaye/ranzcr-multi-head-model-training-f1", "kernel_id": "15440323"}, {"ref": "tiandaye/ranzcr-multi-head-model-training-f0", "kernel_id": "15400010"}, {"ref": "tiandaye/ranzcr-multi-head-model-training-f2", "kernel_id": "15502055"}, {"ref": "tiandaye/ensemble-technique-2", "kernel_id": "15486221"}, {"ref": "kanruwang/ranzcr-resnet200d-seresnet152d-efficientnetb5", "kernel_id": "15164527"}, {"ref": "iraqai/keras-efficientnet-aug-tpu-training-auc0-92-lb0-71", "kernel_id": "15005374"}, {"ref": "irrmnv/ranzcr-clip-inference", "kernel_id": "15538599"}, {"ref": "thedatamonk/ranzcr-efficientnet-b7-tta-inference", "kernel_id": "15564660"}, {"ref": "thedatamonk/ranzcr-final-efficientnet-b7-pytorch-tpu", "kernel_id": "15477848"}, {"ref": "atamazian/multi-fold-training-of-resnet200d-on-tpu", "kernel_id": "15059726"}, {"ref": "stormchaser/ranzcr-clip-fastai", "kernel_id": "15311429"}, {"ref": "krazy47/ranzcr-multi-head-model-training-fold1-krz", "kernel_id": "15844472"}, {"ref": "kvsnoufal/transfer-learning-differential-learning-rate", "kernel_id": "15041879"}, {"ref": "shigengtian/colab-tpu-efficientnetb5", "kernel_id": "15396690"}, {"ref": "shigengtian/stratified-groupkfold-tfrecords", "kernel_id": "15035308"}, {"ref": "ollyattwood/ranzcr-basic-eda", "kernel_id": "15014758"}, {"ref": "salimkhazem/ensemble-stacking", "kernel_id": "15069583"}, {"ref": "jamesjjcondon/clip-drjc", "kernel_id": "15376072"}, {"ref": "raghaw/ensemble-of-2-best-public-notebooks", "kernel_id": "15132806"}, {"ref": "moewie94/975-with-fixes", "kernel_id": "15581808"}, {"ref": "vladimirsydor/mixed-inference", "kernel_id": "15517725"}, {"ref": "shantanu778/ranzcr-pytorch-training", "kernel_id": "15169708"}, {"ref": "khoongweihao/ranzcr-forward-selection-oof-ensemble", "kernel_id": "15510433"}, {"ref": "syxuming/inference-resnet200d-singlemodel", "kernel_id": "15082684"}, {"ref": "arturmrs/a-homemade-pytorch-model", "kernel_id": "15094757"}, {"ref": "roydatascience/resnet200d-public-multi-head-private-lb-970", "kernel_id": "15203842"}, {"ref": "razatabish/ranzr-clip-inference-efficientnet", "kernel_id": "15380123"}, {"ref": "ghaiyur/ensemble-of-2-best-public-notebooks", "kernel_id": "15205574"}, {"ref": "analokamus/resnet200d-encoder-for-segmentation-models-pytorch", "kernel_id": "15586851"}, {"ref": "rsinda/38th-place-solution-0-972-single-model-5-fold", "kernel_id": "15372370"}, {"ref": "danechen/ranzcr-resnet-50d", "kernel_id": "15186898"}, {"ref": "tsuno0821/efficientnet-starter-japanese", "kernel_id": "15084123"}, {"ref": "youngno/basic-eda-with-ngt-abnormal-subclassification", "kernel_id": "15075256"}, {"ref": "youngno/basic-eda-with-ett-abnormal-subclassification", "kernel_id": "15059816"}, {"ref": "york33/find-out-inverted-images", "kernel_id": "15188406"}, {"ref": "manabendrarout/md-with-computer-vision-eda-and-domain-knowledge", "kernel_id": "15054949"}, {"ref": "c7934597/resnet200d-public-benchmark-inference-model", "kernel_id": "15515986"}, {"ref": "asafkeidar/custom-cnn-adam-no-pretrain", "kernel_id": "15409128"}, {"ref": "asafkeidar/densenet121-finetuning-inference", "kernel_id": "15412632"}, {"ref": "asafkeidar/efficientnet-b3-adam-finetuning-inference", "kernel_id": "15413892"}, {"ref": "asafkeidar/densenet121-adam-finetuning-on-chestx", "kernel_id": "15346142"}, {"ref": "asafkeidar/densenet121-adam-no-pretrain", "kernel_id": "15345719"}, {"ref": "asafkeidar/densenet121-adam-finetuning", "kernel_id": "15339605"}, {"ref": "asafkeidar/densenet121-adam-off-the-shelf", "kernel_id": "15340922"}, {"ref": "radadiyamohit/ensemble-technique", "kernel_id": "15294378"}, {"ref": "dionysios1981/ranzcr-resnet200d", "kernel_id": "15725024"}, {"ref": "chizuchizu/ranzcr-make-tfrecords", "kernel_id": "15302179"}, {"ref": "nvnnghia/final-offline-submission", "kernel_id": "15559036"}, {"ref": "tt195361/ranzcr-1st-place-solution-by-tf-4-cls-model", "kernel_id": "15987723"}, {"ref": "tt195361/ranzcr-1st-place-solution-by-tf-3-gen-masks", "kernel_id": "15970387"}, {"ref": "tt195361/ranzcr-1st-place-solution-by-tf-1-make-masks", "kernel_id": "15643541"}, {"ref": "tt195361/ranzcr-1st-place-solution-by-tf-2-seg-model", "kernel_id": "15693831"}, {"ref": "o93333/fork-of-ranzcr-split-tpu-pred-f9db06", "kernel_id": "15559926"}, {"ref": "o93333/ranzcr-split-tpu", "kernel_id": "15205924"}, {"ref": "gengzll/ranzcr-resnet200d-3-stage-training-s2-f2", "kernel_id": "15212631"}, {"ref": "gengzll/ranzcr-resnet200d-3-stage-training-s3-f2", "kernel_id": "15224081"}, {"ref": "gengzll/ranzcr-resnet200d-3-stage-training-s1-f2", "kernel_id": "15207185"}, {"ref": "jainarindam/ranzcr-baseline", "kernel_id": "15115184"}, {"ref": "jainarindam/ranzcr-effb7-inference-600", "kernel_id": "15327524"}, {"ref": "harshsoni/ranzcr-simple-densenet121-approach", "kernel_id": "15771178"}, {"ref": "iwa708/tracheostomy-tubes-detection", "kernel_id": "15032533"}, {"ref": "codingfisch/fastai-v2-nfnet-augmentations-starter", "kernel_id": "15448357"}, {"ref": "ligtfeather/deit-is-a-state-of-the-art-image-classifier", "kernel_id": "15375879"}, {"ref": "ligtfeather/vision-transformer-nystr-mformer-tta", "kernel_id": "15296549"}, {"ref": "mfalfafa/ranzcr-resnet200d-3-stage-train-step1-4", "kernel_id": "15150972"}, {"ref": "mohamed3abdelrazik/duplicated-using-inceptionv3-1024-features", "kernel_id": "15247724"}, {"ref": "mohamed3abdelrazik/fork-of-duplicated-using-inceptionv3-1024-features", "kernel_id": "15250908"}, {"ref": "mohamed3abdelrazik/all-data-after-2-splits-fold-2", "kernel_id": "15308207"}, {"ref": "mohamed3abdelrazik/amar-weights-for-train-and-test-data-lr-1e-4-f2", "kernel_id": "15434755"}, {"ref": "mohamed3abdelrazik/amar-weights-for-train-and-test-data-lr-1e-4-f1", "kernel_id": "15434760"}, {"ref": "mohamed3abdelrazik/fork-of-jjco-duplicated", "kernel_id": "15454433"}, {"ref": "mohamed3abdelrazik/jjco-duplicated", "kernel_id": "15215976"}, {"ref": "mohamed3abdelrazik/stage-three-fold-one", "kernel_id": "15152375"}, {"ref": "mohamed3abdelrazik/stage-three-fold-one-tpu", "kernel_id": "15163812"}, {"ref": "amritpal333/clahe-augmentation-ranzcr-comp", "kernel_id": "15115372"}, {"ref": "amritpal333/using-custom-mean-std-ranzcr-comp", "kernel_id": "15115595"}, {"ref": "huanghuangzhang/few-best-public-notebook-and-dataset-ensemble", "kernel_id": "15559558"}, {"ref": "huanghuangzhang/infer-blend-ranzcr-5folds-resnet200d", "kernel_id": "15379152"}, {"ref": "huanghuangzhang/tra-ranzcr-resnet200d-step2-3", "kernel_id": "15274089"}, {"ref": "huanghuangzhang/tra-ranzcr-resnet200d-step1-3", "kernel_id": "15247860"}, {"ref": "huanghuangzhang/how-to-properly-split-folds", "kernel_id": "15252930"}, {"ref": "huanghuangzhang/tra-ranzcr-resnet200d-step3-3", "kernel_id": "15318916"}, {"ref": "glebkum/masks-for-catheter-segmentation", "kernel_id": "15189397"}, {"ref": "reubenschmidt/pseudolabelling-nih-chestx-dataset", "kernel_id": "15356476"}, {"ref": "arzarei/ranzcr-clip-catheter-line-classification", "kernel_id": "15370650"}, {"ref": "tomohiroh/pytorch-starter", "kernel_id": "15049774"}, {"ref": "datafan07/ranzcr-nfnets-tutorial-single-fold-training", "kernel_id": "15108882"}, {"ref": "mohammadasimbluemoon/ranzcr-clip-tpu", "kernel_id": "15457579"}, {"ref": "mohammadasimbluemoon/fork-of-ranzcr-clip-tpu", "kernel_id": "15465871"}, {"ref": "nischaydnk/finding-blend-weights-for-best-cv-optuna", "kernel_id": "15405720"}, {"ref": "enukuro/annotation-ranzcr-clip-900", "kernel_id": "15503830"}, {"ref": "enukuro/keras-tpu-ranzcr-train-knowledge-distillation", "kernel_id": "15509090"}, {"ref": "enukuro/keras-tpu-ranzcr-train-annotation", "kernel_id": "15471307"}, {"ref": "alincijov/ranzcr-resnet200d-seresnet152d-inference", "kernel_id": "15113007"}, {"ref": "vyombhatia/tutorial-botnet-for-image-classification", "kernel_id": "15142780"}, {"ref": "vyombhatia/fastai-tutorial-image-classification", "kernel_id": "15235036"}, {"ref": "vickygoyal/eff7inference", "kernel_id": "15250275"}, {"ref": "vickygoyal/rancrvitinference", "kernel_id": "15159079"}, {"ref": "vickygoyal/ranzcrvittrain", "kernel_id": "15158851"}, {"ref": "tiquasar/catheter-position-eda-efficientnet-b5-chestx-data", "kernel_id": "15678206"}, {"ref": "khalidanwaar/resnet-200d-timm", "kernel_id": "15315832"}, {"ref": "hedwig100/keras-submission-with-clahe", "kernel_id": "15503424"}, {"ref": "rezinchow/notebookeff", "kernel_id": "15384668"}, {"ref": "rezinchow/efficientnetranzcr", "kernel_id": "15357030"}, {"ref": "gzl0506/ranzcr-resnet200d-3-stage-training-s3-f2", "kernel_id": "15270295"}, {"ref": "bbalrangco/ranzcr-clip-renest-auc-tpu", "kernel_id": "15128834"}, {"ref": "archanabenur/resnet200d", "kernel_id": "15173072"}, {"ref": "nickuzmenkov/ranzcr-clip-add-nih-chest-x-rays-tfrecords", "kernel_id": "15127936"}, {"ref": "nickuzmenkov/ranzcr-clip-making-sense-from-annotations", "kernel_id": "15189558"}, {"ref": "nickuzmenkov/ranzcr-clip-groupkfold-with-tfrecords", "kernel_id": "15085731"}, {"ref": "nickuzmenkov/ranzcr-clip-train", "kernel_id": "15018464"}, {"ref": "abdelfettahelaanba/catheter-and-line-position-detection", "kernel_id": "15508842"}, {"ref": "omarhammemi/notebookb53597f19d", "kernel_id": "15331079"}, {"ref": "omarhammemi/pytorch-model", "kernel_id": "15200959"}, {"ref": "kutsenkodmitriy/my-resnext-3-train", "kernel_id": "15536290"}, {"ref": "apurbasarkar/ranzcr-incpv3-imagedatagenerator-flow-from-df", "kernel_id": "15304900"}, {"ref": "kiranchaudharyy/few-best-public-notebook-and-dataset-ensemble", "kernel_id": "15276387"}, {"ref": "mynewlife/fork-of-resnet200d-public-benchmark-2xtta-1630c3", "kernel_id": "15511383"}, {"ref": "mynewlife/fork-of-resnet200d-public-benchmark-2xtta-lb0-965", "kernel_id": "15265928"}, {"ref": "koubou/efficientnet-gpu-tune", "kernel_id": "15120524"}, {"ref": "alonlevko/generate-masks-ranzr", "kernel_id": "15487737"}, {"ref": "alonlevko/ranzer-unet-pre-train", "kernel_id": "15487819"}, {"ref": "ok123fine/fork-of-fork-of", "kernel_id": "15304257"}, {"ref": "fatmaahmed303/combine-sin-folds-and-my-folds-predictions", "kernel_id": "15260833"}, {"ref": "salswy/mbase", "kernel_id": "15156651"}, {"ref": "rakshitapatil07/resnet-c12", "kernel_id": "15074438"}, {"ref": "datavip/ranzcr-multi-head-model-infer-v39-v19", "kernel_id": "15230422"}, {"ref": "datavip/ranzcr-multi-head-model-infer-v38v18", "kernel_id": "15228143"}, {"ref": "helloany/fork-of-ensemble-for-ensemble", "kernel_id": "15395708"}, {"ref": "firefile/fork-of-resnet200d-public-benchmark-infer", "kernel_id": "15439985"}, {"ref": "sapphirecipherfalcon/notebook229f680371", "kernel_id": "15261932"}, {"ref": "sa2zoi/simplified-ranzcr-clip-resnet200d", "kernel_id": "15410384"}, {"ref": "eighteighteight/fork-of-sub-test133", "kernel_id": "15462647"}, {"ref": "eighteighteight/resnet200d-public-benchmark-2xtta-lb0-965-a2df4c", "kernel_id": "15192949"}, {"ref": "drkudzayi/bit-m-r", "kernel_id": "15182804"}, {"ref": "longmarket/few-best-public-notebook-and-dataset-ensembl", "kernel_id": "15395580"}, {"ref": "linkinin/fork-of-few-best-public-notebook-and-datase-35feb5", "kernel_id": "15446297"}, {"ref": "thisis4u/forkof-forkof-few-best-public-ensemble", "kernel_id": "15439896"}, {"ref": "noobiedatascientist/getting-hooked-with-pytorch-and-grad-cam", "kernel_id": "16078682"}, {"ref": "torrient/fork-of-5-fold-512-5-fold-640-5-fold-800-1-a", "kernel_id": "16603696"}, {"ref": "tt195361/ranzcr-1st-place-solution-by-tf-5-inference", "kernel_id": "16585522"}, {"ref": "krtanmay147/ranzcr-clip-krtanmay", "kernel_id": "16704700"}, {"ref": "fanwenping/ranzcr-12th-public-16-private-soluiton-seg-model", "kernel_id": "16105673"}, {"ref": "awsaf49/siim-covid-19-study-level-infer", "kernel_id": "17081941"}, {"ref": "steamedsheep/siim-covid-external-deduplicated", "kernel_id": "18375735"}, {"ref": "muhammadusmansaeed/notebook4ae52f3d53", "kernel_id": "18623573"}, {"ref": "tf00822634/ranzcr-1st-place-soluiton-cls-model-small-ver", "kernel_id": "18400446"}, {"ref": "tf00822634/ranzcr-stage2-enetb1-5000", "kernel_id": "18799449"}, {"ref": "tf00822634/ranzcr", "kernel_id": "19689929"}, {"ref": "blackboardoao/ranzcr-resnext50-32x4d-starter-training", "kernel_id": "21346990"}, {"ref": "abdelfattahelaanba/pipeline1", "kernel_id": "21200854"}, {"ref": "abdelfettahelaanba/ett-tubes-11-classes", "kernel_id": "24679783"}, {"ref": "koubou/chiba-med-efficientnet", "kernel_id": "25533322"}, {"ref": "thnhha/keras-ranzcr-multi-attention-efficientnet-tpu", "kernel_id": "26000882"}, {"ref": "raovish6/ranzcr-test", "kernel_id": "27136191"}, {"ref": "datakite/ranzcr-clip", "kernel_id": "28156429"}, {"ref": "raovish6/ranczr-ett-testing", "kernel_id": "28051115"}, {"ref": "bomerzz/ranzcr-1st-place-solution-by-tf-3-gen-masks", "kernel_id": "29205434"}, {"ref": "abdelfettahelaanba/segmentation-unet-tubes", "kernel_id": "29185156"}, {"ref": "haotiannnnn/captum-torchvision", "kernel_id": "29731174"}, {"ref": "kheyduzoomryou/ranzcr-efficientnet-submission-b982d7", "kernel_id": "30648600"}, {"ref": "muhammadnadeem31/ranzcr-efficientnet-gpu-train-submit", "kernel_id": "35888022"}, {"ref": "chaitanyavamsi/ranzcr-efficientnet-tpu-training-3e0511", "kernel_id": "35845056"}, {"ref": "razanemarref07/ranzcr-clip-add-nih-chest-x-rays-tfrecords", "kernel_id": "37841518"}, {"ref": "lmthnhduy/clahe-augmentation-ranzcr-comp", "kernel_id": "52114034"}, {"ref": "abdelfattahelaanba/binary-classification-for-ett-tubes", "kernel_id": "55340263"}, {"ref": "abdelfettahelaanba/ett-tubes-3-classes", "kernel_id": "56485021"}, {"ref": "eshasabir17gmailcom/ett-tubes-3-classes", "kernel_id": "56752376"}, {"ref": "jarrelscy/ranzcr-resnext50-32x4d-starter-training", "kernel_id": "57211131"}, {"ref": "albertg30/cyc2cyc-rerun-2", "kernel_id": "59846145"}, {"ref": "abdelfettahelaanba/tensorflow-dcgan-withdgen", "kernel_id": "61589244"}, {"ref": "abdelfettahelaanba/dcgan-wasserstien", "kernel_id": "61963629"}, {"ref": "lamhungai/keras-tpu-ranzcr-train-knowledge-distillation", "kernel_id": "64228760"}, {"ref": "gaoyang142/tf-eda-train", "kernel_id": "79646882"}, {"ref": "gaoyang142/nii12312", "kernel_id": "79079652"}, {"ref": "gaoyang142/mid-term-integration-py3-6-6", "kernel_id": "82863860"}, {"ref": "gaoyang142/unet-try2", "kernel_id": "83002560"}, {"ref": "dorisxin/ranzcr-clip-inference-copy", "kernel_id": "99466746"}]}
{"competition_id": "23871", "kernels": []}
{"competition_id": "23888", "kernels": []}
{"competition_id": "23899", "kernels": []}
{"competition_id": "23900", "kernels": []}
{"competition_id": "23906", "kernels": [{"ref": "takanakano112/dic-hands-on-script", "kernel_id": "12745642"}, {"ref": "takanakano112/dic-hands-on-script-sample-solution", "kernel_id": "12745320"}, {"ref": "takanakano112/dic-homework-sample-solution", "kernel_id": "12877898"}]}
{"competition_id": "23914", "kernels": [{"ref": "shubhayudas6/team-vsm-s-final-notebook", "kernel_id": "13256444"}, {"ref": "shubhayudas6/team-vsm-lightgbm", "kernel_id": "13082925"}, {"ref": "shubhayudas6/team-vsm-eda", "kernel_id": "13002897"}]}
{"competition_id": "23915", "kernels": [{"ref": "rithwiksai/consistent-preprocessing-xgboost", "kernel_id": "13201803"}, {"ref": "rithwiksai/malware-balancedbagging", "kernel_id": "13104623"}, {"ref": "kartiksama/stacking", "kernel_id": "13213163"}, {"ref": "kartiksama/voting", "kernel_id": "13197955"}, {"ref": "dragonsa15/consistent-preprocessing-lgbm", "kernel_id": "13213346"}, {"ref": "dragonsa15/md-surveycorps-saksham", "kernel_id": "13029115"}]}
{"competition_id": "23916", "kernels": []}
{"competition_id": "23917", "kernels": [{"ref": "keshav2511/submission-final", "kernel_id": "13199900"}]}
{"competition_id": "23918", "kernels": [{"ref": "thesandx/malware-assignment", "kernel_id": "13029684"}]}
{"competition_id": "23919", "kernels": [{"ref": "sudarshananand/notebooka895878af7", "kernel_id": "13224863"}]}
{"competition_id": "23920", "kernels": [{"ref": "joshiharshit5088/notebookfa10dfa105", "kernel_id": "12787532"}, {"ref": "joshiharshit5088/notebookafd78db9e2", "kernel_id": "13189050"}]}
{"competition_id": "23924", "kernels": [{"ref": "daechanhan/code-manual", "kernel_id": "12765428"}]}
{"competition_id": "23926", "kernels": [{"ref": "ashutoshbajpai2111/assignment-2-malware-detection", "kernel_id": "12952697"}]}
{"competition_id": "23928", "kernels": []}
{"competition_id": "23932", "kernels": []}
{"competition_id": "23934", "kernels": [{"ref": "mrinath/notebook54e2e6ece3", "kernel_id": "12835807"}, {"ref": "mrinath/logistic-baseline", "kernel_id": "12787691"}, {"ref": "minkpeeranut/analyst-and-predict-liver-disease", "kernel_id": "14348728"}, {"ref": "drnitinmishra/adaboost-classification", "kernel_id": "17285266"}, {"ref": "shubhlaxmi/adaboost-full-concept", "kernel_id": "17369305"}, {"ref": "shubhlaxmi/liver-disease-competetion-includ-ensembl-adaboost", "kernel_id": "17285271"}, {"ref": "shikhashikha/shikha-data-visualization", "kernel_id": "17500879"}, {"ref": "sweta20scse2110001/data-visualization", "kernel_id": "17471166"}, {"ref": "abhi827/ml-club-nits", "kernel_id": "17488745"}, {"ref": "radha20scse2110004/notebook39001c713a", "kernel_id": "17442006"}, {"ref": "neeraj211/notebooke768719e50", "kernel_id": "17453977"}, {"ref": "neeraj211/notebooka3cde3a38e", "kernel_id": "17470496"}, {"ref": "madhavms1/ml-nits-4jun2021", "kernel_id": "17441862"}, {"ref": "amritraj825/ml-club", "kernel_id": "17488834"}, {"ref": "shalsharma/notebooka3cde3a38e", "kernel_id": "17485603"}, {"ref": "deepshikhadhillon/notebooka3cdegfhgdtrtyf", "kernel_id": "17472570"}, {"ref": "deepshikhadhillon/notebook253609fc5d", "kernel_id": "17467852"}, {"ref": "nehak745/ml-club-nits", "kernel_id": "17696909"}]}
{"competition_id": "23936", "kernels": []}
{"competition_id": "23945", "kernels": []}
{"competition_id": "23946", "kernels": [{"ref": "cristinakuo/h4p2-speech-to-text-with-las", "kernel_id": "18993126"}]}
{"competition_id": "23948", "kernels": []}
{"competition_id": "23950", "kernels": []}
{"competition_id": "23951", "kernels": []}
{"competition_id": "23954", "kernels": []}
{"competition_id": "23957", "kernels": []}
{"competition_id": "23967", "kernels": [{"ref": "tatyanagreenkina/baseline", "kernel_id": "12784248"}]}
{"competition_id": "23970", "kernels": []}
{"competition_id": "23974", "kernels": []}
{"competition_id": "23975", "kernels": []}
{"competition_id": "23980", "kernels": []}
{"competition_id": "23982", "kernels": []}
{"competition_id": "23985", "kernels": []}
{"competition_id": "23991", "kernels": []}
{"competition_id": "23992", "kernels": []}
{"competition_id": "24009", "kernels": [{"ref": "pritampaulcrow/cricket", "kernel_id": "19735313"}, {"ref": "adityakadam180405/assignment-no-2", "kernel_id": "106632701"}, {"ref": "saniyavahora2205/e-commerce-analysis", "kernel_id": "130925075"}]}
{"competition_id": "24015", "kernels": [{"ref": "tatyanagreenkina/baseline-2", "kernel_id": "12809310"}]}
{"competition_id": "24023", "kernels": [{"ref": "kami634/simple-eda-diamonds", "kernel_id": "13535807"}, {"ref": "kami634/benchmark000", "kernel_id": "13536555"}, {"ref": "ibukihirakawa/diamonds-last-trial", "kernel_id": "13998544"}, {"ref": "startjapan/diamond-for-sharing", "kernel_id": "14008941"}, {"ref": "elmoreleonard/diamond-by-eiken-kawa", "kernel_id": "14056330"}]}
{"competition_id": "24026", "kernels": []}
{"competition_id": "24028", "kernels": []}
{"competition_id": "24032", "kernels": [{"ref": "daechanhan/2020-2d", "kernel_id": "12865358"}, {"ref": "coolfamily77/2020-2d", "kernel_id": "13113929"}]}
{"competition_id": "24034", "kernels": [{"ref": "tojoh15/notebookd42ab2164c", "kernel_id": "12823485"}]}
{"competition_id": "24039", "kernels": []}
{"competition_id": "24040", "kernels": [{"ref": "michalnozickacze/notebookfdcb6adc70", "kernel_id": "12827050"}]}
{"competition_id": "24042", "kernels": []}
{"competition_id": "24044", "kernels": [{"ref": "tatyanagreenkina/baseline-3", "kernel_id": "12828449"}, {"ref": "tatyanagreenkina/baseline-3-hard", "kernel_id": "12828473"}]}
{"competition_id": "24045", "kernels": []}
{"competition_id": "24047", "kernels": []}
{"competition_id": "24048", "kernels": []}
{"competition_id": "24050", "kernels": []}
{"competition_id": "24064", "kernels": [{"ref": "nmt2004/movie-fall-2020", "kernel_id": "93310546"}, {"ref": "tienthucle/neumf-in-recommendation-system", "kernel_id": "102914704"}, {"ref": "tienthucle/transformer-recommendation", "kernel_id": "103265222"}]}
{"competition_id": "24068", "kernels": []}
{"competition_id": "24074", "kernels": [{"ref": "taejookim/code-manual", "kernel_id": "13112469"}]}
{"competition_id": "24076", "kernels": []}
{"competition_id": "24078", "kernels": []}
{"competition_id": "24079", "kernels": []}
{"competition_id": "24082", "kernels": []}
{"competition_id": "24084", "kernels": []}
{"competition_id": "24086", "kernels": []}
{"competition_id": "24087", "kernels": [{"ref": "olegzyablov/baseline", "kernel_id": "12862860"}, {"ref": "romanianvarev/captcha-recognition", "kernel_id": "13561221"}, {"ref": "dailysergey/sf-dst-captcha-recog-tpu-train-inference", "kernel_id": "17356585"}, {"ref": "dmalkr76/submission", "kernel_id": "28163666"}, {"ref": "katyashakhova/captcha-recognition-tensorflow", "kernel_id": "39879497"}, {"ref": "ramzesii/sf-captcha-recognition", "kernel_id": "45167089"}, {"ref": "sergeypenkovsky/prod-sf-captcha-recognition", "kernel_id": "48387422"}, {"ref": "tobiweiss/captcha-recognition", "kernel_id": "57668183"}, {"ref": "yaroslavav11/captcha-prediction-tf-ipynb", "kernel_id": "65753400"}]}
{"competition_id": "24094", "kernels": []}
{"competition_id": "24099", "kernels": []}
{"competition_id": "24103", "kernels": []}
{"competition_id": "24104", "kernels": []}
{"competition_id": "24105", "kernels": [{"ref": "debasishb/notebook1dd4660ca8", "kernel_id": "12988615"}, {"ref": "wilderjoseth/project2-classification", "kernel_id": "18560226"}, {"ref": "alichallenger/opencv-ml-project-2", "kernel_id": "19598754"}, {"ref": "maslek/project-2-opencv-course", "kernel_id": "29911276"}, {"ref": "majkelz/project-2-classification-from-opencv-course", "kernel_id": "40539782"}, {"ref": "fluktuation8/project2-kaggle-competition-classification", "kernel_id": "45225562"}, {"ref": "muhammadrouhan/notebookdda0519879", "kernel_id": "104365831"}]}
{"competition_id": "24107", "kernels": [{"ref": "huybeo2609/notebook-version31", "kernel_id": "102644266"}]}
{"competition_id": "24117", "kernels": []}
{"competition_id": "24121", "kernels": []}
{"competition_id": "24123", "kernels": [{"ref": "antoinebourgois2/notebook41dd4e1f1f", "kernel_id": "104885047"}]}
{"competition_id": "24125", "kernels": []}
{"competition_id": "24140", "kernels": []}
{"competition_id": "24141", "kernels": []}
{"competition_id": "24142", "kernels": []}
{"competition_id": "24147", "kernels": []}
{"competition_id": "24149", "kernels": []}
{"competition_id": "24150", "kernels": []}
{"competition_id": "24153", "kernels": []}
{"competition_id": "24161", "kernels": [{"ref": "patrick7/randomforest", "kernel_id": "12922090"}, {"ref": "patrick7/naive-bayes-example", "kernel_id": "12978515"}, {"ref": "patrick7/decisiontree", "kernel_id": "13000044"}, {"ref": "keithmayo/keith-mayo", "kernel_id": "13551636"}]}
{"competition_id": "24163", "kernels": []}
{"competition_id": "24171", "kernels": []}
{"competition_id": "24181", "kernels": []}
{"competition_id": "24184", "kernels": []}
{"competition_id": "24185", "kernels": [{"ref": "dark417/601competition", "kernel_id": "13270538"}]}
{"competition_id": "24191", "kernels": [{"ref": "lrmeulman/cassava-notebook", "kernel_id": "13450338"}, {"ref": "francescotangari/notebook297eae9dd5", "kernel_id": "13944760"}, {"ref": "subbuvolvosekar/where-water-sources-acea", "kernel_id": "13440723"}, {"ref": "tomwarrens/eda-acea-complete", "kernel_id": "13835564"}, {"ref": "tomwarrens/intro-to-time-series-analysis", "kernel_id": "13920815"}, {"ref": "tomwarrens/timeseriessplit-how-to-use-it", "kernel_id": "13895866"}, {"ref": "thanish/starters-eda", "kernel_id": "13435580"}, {"ref": "stautxie/acea-water-prediction-lake-bilancino", "kernel_id": "13542235"}, {"ref": "stautxie/acea-water-prediction-river-arno", "kernel_id": "13539518"}, {"ref": "pjoshi15/understanding-the-dataset", "kernel_id": "13437718"}, {"ref": "matyushkin/asw-analytics-eda-preprocessing-first-steps", "kernel_id": "13443100"}, {"ref": "farazrahman/aquifer-eda", "kernel_id": "13530969"}, {"ref": "onno91/save-blue-gold", "kernel_id": "13989556"}, {"ref": "radema/river-pipeline-poisson-model", "kernel_id": "13733433"}, {"ref": "radema/lake-bilancino-multitarget-model", "kernel_id": "13795363"}, {"ref": "radema/arno-eda-data-enrichment", "kernel_id": "13455746"}, {"ref": "ankit5294/acea-eda-plotting-basics", "kernel_id": "13672083"}, {"ref": "isaienkov/acea-smart-water-analytics-data-understanding", "kernel_id": "13433405"}, {"ref": "plarmuseau/forecast-riverarno", "kernel_id": "13580066"}, {"ref": "mohuahaldar/acea-sw-eda", "kernel_id": "13633036"}, {"ref": "marcomarchetti/acea-smart-water-eda", "kernel_id": "13885989"}, {"ref": "ekrembayar/quick-eda-reporting-data-understanding", "kernel_id": "13439329"}, {"ref": "joanatomeribeiro/acea-notebook", "kernel_id": "13612108"}, {"ref": "lucena1990/acea-smater-water-water-availability-data", "kernel_id": "13612820"}, {"ref": "docxian/water-analytics-visual-quick-start", "kernel_id": "13441318"}, {"ref": "thedatabeast/exploring-smart-water-analytics", "kernel_id": "13437752"}, {"ref": "shanshilove/acea-smart-water", "kernel_id": "13549228"}, {"ref": "sadiqueabdullah/water-bodies-eda-acea", "kernel_id": "13744303"}, {"ref": "declot/water-italy-aquifers", "kernel_id": "13767674"}, {"ref": "michau96/how-virtual-trees-can-save-real-water-in-italy", "kernel_id": "13484778"}, {"ref": "askarn/simple-eda-and-linear-modeling", "kernel_id": "13508857"}, {"ref": "yassirarezki/detailed-eda-and-first-insights", "kernel_id": "13543677"}, {"ref": "joatom/acea-lake-features", "kernel_id": "13636877"}, {"ref": "htastan/acea-water-resources-analytics-an-initial-eda", "kernel_id": "13621588"}, {"ref": "salmanhiro/eda-storytelling-and-time-series-forecasting", "kernel_id": "13428389"}, {"ref": "ipsita001/acea-time-series-eda-plotly", "kernel_id": "13488327"}, {"ref": "ahmed4fee/acea-smart-water-analysis", "kernel_id": "13531708"}, {"ref": "rohithansdah/acea-water-analytics-lake-bilancino", "kernel_id": "13723856"}, {"ref": "rohithansdah/acea-water-analytics-river-arno", "kernel_id": "13678879"}, {"ref": "drcapa/acea-smart-water-analytics-starter", "kernel_id": "13427650"}, {"ref": "luca31394/acea-eda-and-data-cleaning-deep-water", "kernel_id": "13558115"}, {"ref": "emdemor/rolling-means-of-time-series", "kernel_id": "13478662"}, {"ref": "hanafi99/acea-smart-water-analytics-arno", "kernel_id": "13897546"}, {"ref": "premabcd/acea-smart-water-analytics", "kernel_id": "13606777"}, {"ref": "cosmosankur/eda2-lake-bilancino-day9-for-beginners", "kernel_id": "13471450"}, {"ref": "iamleonie/intro-to-time-series-forecasting", "kernel_id": "13696978"}, {"ref": "iamleonie/eda-quenching-the-thirst-for-insights", "kernel_id": "13432923"}, {"ref": "maksymshkliarevskyi/acea-smart-water-full-eda-prediction", "kernel_id": "13428191"}, {"ref": "mrutyunjaybiswal/acea-smart-water-analytics-understanding-the-data", "kernel_id": "13433838"}, {"ref": "sahilpatni95/acea-smart-water-eda-analytics", "kernel_id": "13438872"}, {"ref": "ajaypalsinghlo/acea-smart-water-analytics", "kernel_id": "13484889"}, {"ref": "shivammittal274/acea-water-analytics-beginners-eda", "kernel_id": "13649333"}, {"ref": "divyanshuusingh/understanding-acea-smart-water-analytics", "kernel_id": "13437043"}, {"ref": "bitcrunch/feature-engineering-prediction-ongoing", "kernel_id": "13500374"}, {"ref": "mariyajojy/initial-eda", "kernel_id": "13438824"}, {"ref": "rickyrick/acea-water-analysis-and-prediction", "kernel_id": "13463455"}, {"ref": "ekaterinadranitsyna/water-flow-depth-prediction", "kernel_id": "13981459"}, {"ref": "datajameson/acea-smart-water-analytics-eda-prediction", "kernel_id": "13633194"}, {"ref": "zeynepharurluolu/acea-smart-water-analytic-eda", "kernel_id": "13598580"}, {"ref": "ellada/aquifer-auser-modeling-gwl-with-sarimax-and-lstm", "kernel_id": "14674238"}, {"ref": "ankit5294/quick-data-profiling-data-quality-report-eda", "kernel_id": "14249802"}, {"ref": "mmadkour/weather-timeseries-forecasting", "kernel_id": "14740759"}, {"ref": "linxingyao/smart-water", "kernel_id": "14331638"}, {"ref": "marcomarchetti/acea-smart-water-model", "kernel_id": "14547796"}, {"ref": "marcomarchetti/acea-smart-water-baseline-models-comparison", "kernel_id": "14395374"}, {"ref": "yitingtan/feature-engineering-on-water-availability", "kernel_id": "14956172"}, {"ref": "carrascojg/water-source-location", "kernel_id": "14970446"}, {"ref": "apoorvb/when-it-rains-it-pours", "kernel_id": "14486504"}, {"ref": "anandchauhan/river-arno", "kernel_id": "14185967"}, {"ref": "anthokalel/statistical-tests-lstm-pytorch", "kernel_id": "14412833"}, {"ref": "wkchung/water-prediction-via-var-vecm-lstm-mannheim-team", "kernel_id": "14053380"}, {"ref": "obiaf88/acea-smart-water-predicting-water-availability", "kernel_id": "14846703"}, {"ref": "sofiatkachenko0810/acea-smart-water-analytics", "kernel_id": "14035228"}, {"ref": "plumeria/analysis-on-water-body", "kernel_id": "14636007"}, {"ref": "vlarmet/a-super-learner-for-water-availability-forecasting", "kernel_id": "14371229"}, {"ref": "michelelagioia/predictingwaterbodysize", "kernel_id": "14878716"}, {"ref": "declot/water-italy-aquifers-windows-for-ewm", "kernel_id": "14444264"}, {"ref": "mixtek/forecasting-water-resources-with-random-forest", "kernel_id": "14506010"}, {"ref": "ace526/acea-all", "kernel_id": "14117855"}, {"ref": "langbart/predicting-the-blue-gold-for-acea-company", "kernel_id": "14832281"}, {"ref": "parkerashlan/acea-water-challenge-doganella-aquifer", "kernel_id": "14763732"}, {"ref": "lys620/eda-for-acea-water-prediction", "kernel_id": "14843815"}, {"ref": "marginalauthor/first-notebook-aquifers-analytic", "kernel_id": "14961484"}, {"ref": "mojopriest/the-effect-of-rainfall-on-river-arno", "kernel_id": "14386571"}, {"ref": "gloayza/acea-water-competition", "kernel_id": "14871855"}, {"ref": "meghamgarg/acea-smart-water-analytics", "kernel_id": "14815629"}, {"ref": "andreshg/timeseries-analysis-a-complete-guide", "kernel_id": "14657193"}, {"ref": "jammasathwik/italy-aquifer-auser-analysis", "kernel_id": "14064121"}, {"ref": "christopherdzuwa/acea-predictive-hydrology", "kernel_id": "14961017"}, {"ref": "tusharkoley1/acea-smart-water-analytics", "kernel_id": "14106943"}, {"ref": "pierrejeanne/groundwater-level-prediction-from-monitoring-data", "kernel_id": "14524231"}, {"ref": "rajassanjayubhare/smart-water-analytics", "kernel_id": "14947538"}, {"ref": "lukear/acea-submission", "kernel_id": "14892997"}, {"ref": "oneplustricks/time-series-analysis-xgboost", "kernel_id": "14653662"}, {"ref": "badiaamakhlouf/acea-smart-water-prediction", "kernel_id": "14970473"}, {"ref": "juanandressimonetti/cmp-acea-smart-water-analytics", "kernel_id": "14465342"}, {"ref": "valeriomaiolini/river-swat-smart-water-analytics-timeseries", "kernel_id": "14942695"}, {"ref": "valeriomaiolini/lake-swat-smart-water-analytics-timeseries", "kernel_id": "14960315"}, {"ref": "pardinijulio/acea-smart-water-analytics", "kernel_id": "14808709"}, {"ref": "mansitsuman/let-s-know-our-blue-gold", "kernel_id": "14758156"}, {"ref": "anaszi/acea-smart-water-water-spring-eda", "kernel_id": "14881324"}, {"ref": "chunsingyu/submission-of-acne-water-competeion", "kernel_id": "14967472"}, {"ref": "ashutoshchaudhary95/notebook210a101704", "kernel_id": "14948543"}, {"ref": "gianmario/god-save-water", "kernel_id": "14324166"}, {"ref": "aymanesguiar/aquifiers", "kernel_id": "14864733"}, {"ref": "davidrais/causal-network-discovery-on-aquifers-dataset", "kernel_id": "14971325"}, {"ref": "lucky89/acea-smart-water-data-analytics", "kernel_id": "14483962"}, {"ref": "yanamal/modeling-the-physical-properties-of-a-water-system", "kernel_id": "14923419"}, {"ref": "yanamal/lake-bilancino-prediction", "kernel_id": "14999149"}, {"ref": "menegop/acea-water-prediction-a-lasso-approach", "kernel_id": "14937237"}, {"ref": "annachirumbolo/dasi-acea-challenge", "kernel_id": "14929814"}, {"ref": "anukriti01/greedy-feature-search-with-xgboost", "kernel_id": "14963133"}, {"ref": "akshayr009/acea-smart-water", "kernel_id": "14577301"}, {"ref": "ggianv/acea-lutech", "kernel_id": "14749245"}, {"ref": "bapakkau/notebook4d2cb07f24", "kernel_id": "14978847"}, {"ref": "aspiringkaggler/water-prediction-w-lstm-xgb-attention", "kernel_id": "14197096"}, {"ref": "arbor0701/notebookb276af2beb", "kernel_id": "14709122"}, {"ref": "marcomarchetti/acea-smart-water-model-v2", "kernel_id": "15995356"}, {"ref": "trungkinng/acea-smart-timeseries-prediction", "kernel_id": "15500275"}, {"ref": "ace526/fork-of-acea-all", "kernel_id": "16380863"}, {"ref": "t0admomo/intro-to-time-series-forecasting", "kernel_id": "16604590"}, {"ref": "vaishnavidixit12/acea-data-visualization", "kernel_id": "17927501"}, {"ref": "xueyingzhao009/time-series-analysis-acea-smart-water-analysis", "kernel_id": "18360826"}, {"ref": "greensandag/intro-to-time-series-forecasting", "kernel_id": "20729950"}, {"ref": "nandha13/time-series-preprocess-feature-engineering-eda", "kernel_id": "21783881"}, {"ref": "nandha13/time-series-part-2-preprocessing", "kernel_id": "21617192"}, {"ref": "nandha13/time-series-part-1-data-visualization", "kernel_id": "21565603"}, {"ref": "rumeysaenol/acea-smart-water-analytic-eda", "kernel_id": "21216569"}, {"ref": "sandhyakrishnan02/time-series-analysis-and-forecasting", "kernel_id": "22685601"}, {"ref": "ahmedabdulhamid/time-series-analysis-a-complete-guide", "kernel_id": "23478180"}, {"ref": "altaastra/water-level-prediction-automated-lags-selection", "kernel_id": "24281604"}, {"ref": "anushaneela/water-prediction-via-var-vecm-lstm-mannheim-team", "kernel_id": "25045888"}, {"ref": "mohamedelatillah/notebook5df8c2a318", "kernel_id": "25235463"}, {"ref": "amit16091995/notebook174419cc74", "kernel_id": "26001432"}, {"ref": "petyaracz/intro-to-time-series-forecasting-r-version", "kernel_id": "27169127"}, {"ref": "rasikagurav/time-series-analysis", "kernel_id": "28670923"}, {"ref": "florencdemrozi/lesson-8-intro-to-time-series-part-1", "kernel_id": "29902591"}, {"ref": "ksumeet/aquifer-eda-visual", "kernel_id": "30516730"}, {"ref": "kkanar/simulation-of-the-chiascio-river-system-dynamics", "kernel_id": "31927997"}, {"ref": "kkanar/preprocessing-for-dynamic-simulation", "kernel_id": "31014269"}, {"ref": "mipetit/timeseries-analysis-a-complete-guide", "kernel_id": "32295933"}, {"ref": "fauzanmohammed/acea-smart-analysis", "kernel_id": "33648455"}, {"ref": "tjtjdgns81/acea-smart-water-analytics", "kernel_id": "34601397"}, {"ref": "ayaabdalsalam/water-prediction", "kernel_id": "34361757"}, {"ref": "miraterekhova/time-serias-wavlet-rf-vs-arima", "kernel_id": "35580806"}, {"ref": "katuukchristian/acea-smart-water-analytics-time-series", "kernel_id": "36099781"}, {"ref": "cristafaelzkandou/acea-time-series", "kernel_id": "36099773"}, {"ref": "jerilerikanter/time-series", "kernel_id": "36099783"}, {"ref": "rainercristian/time-series", "kernel_id": "36099789"}, {"ref": "jeklintakasaping/time-series", "kernel_id": "36099859"}, {"ref": "geovannybolang/intro-to-time-series-forecasting", "kernel_id": "36100564"}, {"ref": "geovannybolang/time-series", "kernel_id": "36099813"}, {"ref": "rafi03/time-series", "kernel_id": "37233137"}, {"ref": "uzareen/acea-smart-water-industrial-attachment", "kernel_id": "37571822"}, {"ref": "rashaddism/timeseries-analysis-a-complete-guide", "kernel_id": "41756587"}, {"ref": "muttahirulislam/ce-6013-assignment-1", "kernel_id": "41165818"}, {"ref": "shahidulugvcse/intro-to-time-series-forecasting", "kernel_id": "41978398"}, {"ref": "sanggusti/timeseries-analysis-acea-water-prediction", "kernel_id": "42412532"}, {"ref": "chaki18081999/getting-started-with-time-series-analysis", "kernel_id": "42012076"}, {"ref": "lukear/fork-of-acea-submission", "kernel_id": "42204954"}, {"ref": "marpinasrujana/tsda-labassignment-4", "kernel_id": "43768372"}, {"ref": "vizibianalytics/timeseries-analysis-acea-water-prediction", "kernel_id": "43159141"}, {"ref": "metehanpolat1705/acea-water", "kernel_id": "45060832"}, {"ref": "mrfirdauss20/problem-ii-petringnano", "kernel_id": "46011443"}, {"ref": "muskanmulyan/forecasting-acea-smart-water-analytics", "kernel_id": "47086534"}, {"ref": "pranav2525/aquifer-eda-visual", "kernel_id": "48810642"}, {"ref": "panosc/s6-timeseries-analysis-advanced-part-1", "kernel_id": "49101920"}, {"ref": "panosc/s6-exercise-1", "kernel_id": "49147756"}, {"ref": "zyuc2002/intro-to-time-series-forecasting", "kernel_id": "49932941"}, {"ref": "susanaflorncio/project-time-series", "kernel_id": "53756584"}, {"ref": "trucnguyen2k19/intro-to-time-series-forecasting", "kernel_id": "64332121"}, {"ref": "paulolastra/paulo-lastra-time-series-analysis", "kernel_id": "66965429"}, {"ref": "harithapliyal/acea-smart-water-full-eda-prediction", "kernel_id": "70021250"}, {"ref": "karimdea/timeseries-analysis-a-complete-guide", "kernel_id": "70410161"}, {"ref": "bhaveshchaudhar/acea-water", "kernel_id": "70700911"}, {"ref": "sanandml/minor-pro", "kernel_id": "76784513"}, {"ref": "yukyoungchoi/copywork-forecasting-acea-smart-water-analytics", "kernel_id": "79417090"}, {"ref": "haytamert/intro-to-time-series-forecasting", "kernel_id": "80382334"}, {"ref": "chaiyapatmetha/time-series-forecasting-pipeline", "kernel_id": "85360168"}, {"ref": "edgarrodriguezm/notebook048f876fe8", "kernel_id": "112542019"}]}
{"competition_id": "24201", "kernels": [{"ref": "kinahem/gornyaki-final-solution", "kernel_id": "12955147"}]}
{"competition_id": "24212", "kernels": []}
{"competition_id": "24214", "kernels": [{"ref": "s0p3n91/notebook00943b6f92", "kernel_id": "14172859"}]}
{"competition_id": "24215", "kernels": []}
{"competition_id": "24227", "kernels": []}
{"competition_id": "24230", "kernels": []}
{"competition_id": "24232", "kernels": []}
{"competition_id": "24233", "kernels": []}
{"competition_id": "24235", "kernels": [{"ref": "jillwang87/fashion-cnn", "kernel_id": "13059937"}]}
{"competition_id": "24236", "kernels": [{"ref": "reduino/challenge6attempt", "kernel_id": "13029583"}]}
{"competition_id": "24237", "kernels": []}
{"competition_id": "24240", "kernels": []}
{"competition_id": "24241", "kernels": []}
{"competition_id": "24245", "kernels": []}
{"competition_id": "24251", "kernels": [{"ref": "chetan008/2018a7ps0225g-lab2", "kernel_id": "13127490"}, {"ref": "enigma0160/nnfl-lab-2", "kernel_id": "13017477"}, {"ref": "susmitwani/2018a7ps0116g-nnfl-lab2", "kernel_id": "13054032"}, {"ref": "f20180150/lab2-2018a7ps0150g", "kernel_id": "13135715"}, {"ref": "shashankm24/2018a7ps0127g-lab2", "kernel_id": "13023336"}, {"ref": "abichalghosh/2018a7ps0172g-lab2", "kernel_id": "13096987"}, {"ref": "nileshkumargupta/sentiment-analysis", "kernel_id": "13129796"}, {"ref": "akashsatasiya/lab2-fin", "kernel_id": "13113984"}, {"ref": "vinayakshukla03/2017b4a70465g-nnfl-lab-2", "kernel_id": "13106351"}, {"ref": "satyansh1999/2018a7ps0156g-lab2", "kernel_id": "13177601"}, {"ref": "rajatgoyal2105/nnfl-lab-2-submission", "kernel_id": "13116593"}, {"ref": "emiya007/2017a7ps0956g-nnfl-lab-2", "kernel_id": "13127627"}, {"ref": "adityajain8/2018a7ps0243-nnfl-lab2", "kernel_id": "13107748"}, {"ref": "pulkitpurwar27/2018a7ps0091g-lab2", "kernel_id": "13146099"}, {"ref": "subhjeetpati/notebooka45272c451", "kernel_id": "13108081"}, {"ref": "saurabh1207/2018a7ps0157g-lab2", "kernel_id": "13126256"}]}
{"competition_id": "24252", "kernels": [{"ref": "polyai/notebookbeginning", "kernel_id": "13018499"}]}
{"competition_id": "24257", "kernels": []}
{"competition_id": "24262", "kernels": [{"ref": "reduino/fastai-challenge5-submission", "kernel_id": "13027525"}, {"ref": "ethanmai/image-classification", "kernel_id": "13027189"}]}
{"competition_id": "24263", "kernels": [{"ref": "yonseieomjihwan/build-two-models-baseline-pb-0-29165", "kernel_id": "13191918"}]}
{"competition_id": "24265", "kernels": [{"ref": "chetan008/2018a7ps0225g-lab3", "kernel_id": "13136353"}, {"ref": "enigma0160/nnfl-lab-3", "kernel_id": "13075310"}, {"ref": "susmitwani/2018a7ps0116g-nnfl-lab3", "kernel_id": "13021713"}, {"ref": "avilaneja/2017a7ps0968g-lab3", "kernel_id": "13180859"}, {"ref": "f20180150/lab3-2018a7ps0150g", "kernel_id": "13124633"}, {"ref": "shashankm24/2018a7ps0127g-lab3-0-95", "kernel_id": "13153483"}, {"ref": "abichalghosh/2018a7ps0172g-lab3", "kernel_id": "13106873"}, {"ref": "akashsatasiya/lab3-v1", "kernel_id": "13121465"}, {"ref": "vinayakshukla03/2017b4a70465g-nnfl-lab-3", "kernel_id": "13114250"}, {"ref": "satyansh1999/2018a7ps0156g-lab3", "kernel_id": "13177644"}, {"ref": "rajatgoyal2105/nnfl-lab-3-submission", "kernel_id": "13116319"}, {"ref": "emiya007/2017a7ps0956g-nnfl-lab-3", "kernel_id": "13132368"}, {"ref": "adityajain8/2018a7ps0243-nnfl-lab3", "kernel_id": "13135723"}, {"ref": "pulkitpurwar27/2018a7ps0091g-lab3", "kernel_id": "13151222"}, {"ref": "saurabh1207/2018a7ps0157g-lab3", "kernel_id": "13134698"}]}
{"competition_id": "24270", "kernels": []}
{"competition_id": "24276", "kernels": []}
{"competition_id": "24277", "kernels": []}
{"competition_id": "24280", "kernels": [{"ref": "vashisht/sample-submission-baseline", "kernel_id": "13074888"}, {"ref": "karthikbachu/prml-karthik", "kernel_id": "13978334"}, {"ref": "farzanep18b021/data-contest", "kernel_id": "13849953"}, {"ref": "gowttham123pan/notebooka6475e9c2a", "kernel_id": "14515313"}, {"ref": "cs18b060vaibhav/unbiased2", "kernel_id": "14538059"}]}
{"competition_id": "24281", "kernels": [{"ref": "irafor/notebookd47eb45c17", "kernel_id": "13413439"}, {"ref": "mikhailuzhegov/geohw-uzhegov", "kernel_id": "13411445"}, {"ref": "maryizo/task-solution-geo-maryizo", "kernel_id": "13407245"}, {"ref": "semenokm/geo-hw-semenov-k-m", "kernel_id": "13412412"}]}
{"competition_id": "24282", "kernels": []}
{"competition_id": "24286", "kernels": [{"ref": "amiled19/janestreet", "kernel_id": "14603800"}, {"ref": "bumjunkoo/bert-pytorch-for-sentiment-classification", "kernel_id": "14012174"}, {"ref": "rijuvaish/shopee-matcher-eda", "kernel_id": "15637481"}, {"ref": "harikunderu/shopee-0-523-with-minimal-steps", "kernel_id": "15788969"}, {"ref": "jdoesv/sentence-level-embeddings-as-features", "kernel_id": "15608970"}, {"ref": "bguberfain/openai-clip-with-train", "kernel_id": "15431489"}, {"ref": "bguberfain/triplet-loss", "kernel_id": "15431529"}, {"ref": "bguberfain/clip-baseline", "kernel_id": "15416934"}, {"ref": "mendelevium/efficientnet-embedding-tf-idf", "kernel_id": "15931466"}, {"ref": "super13579/lb-0-6-up-image-retrieval-by-euclidean-effinet", "kernel_id": "15396068"}, {"ref": "sourojit/bert-arc-margin-product", "kernel_id": "15976554"}, {"ref": "aerdem4/memory-efficient-parallel-string-matching", "kernel_id": "15528043"}, {"ref": "lexplua/shopee-phash-playground", "kernel_id": "15982339"}, {"ref": "daigohirooka/shopee-basic-eda", "kernel_id": "15410535"}, {"ref": "mariammohamed/dataset-preparation-two-images", "kernel_id": "15590199"}, {"ref": "tqrahman/april-fools", "kernel_id": "15925590"}, {"ref": "finlay/unsupervised-image-text-baseline-in-20min", "kernel_id": "15623552"}, {"ref": "finlay/pytorch-arcface-inference", "kernel_id": "15781449"}, {"ref": "finlay/pytorch-densenet-arcface-validation-training", "kernel_id": "15779113"}, {"ref": "finlay/shopee-products-matching-text-part-english", "kernel_id": "15946154"}, {"ref": "finlay/shopee-products-matching-image-part-english", "kernel_id": "15906240"}, {"ref": "finlay/shopee-products-matching-bof-part-english", "kernel_id": "15999100"}, {"ref": "tanlikesmath/shopee-eda-and-baseline-wip", "kernel_id": "15396191"}, {"ref": "isaienkov/shopee-data-understanding-and-analysis", "kernel_id": "15395034"}, {"ref": "jollibobert/efficientnet-dbscan-baseline-cv-0-658", "kernel_id": "15498528"}, {"ref": "vargeek/unsupervised-image-text-baseline", "kernel_id": "15954552"}, {"ref": "plarmuseau/shopee-product-matching", "kernel_id": "15478374"}, {"ref": "anubhav1302/shopee-quicklook", "kernel_id": "15423066"}, {"ref": "msafi04/shopee-product-match-eda", "kernel_id": "15420940"}, {"ref": "msafi04/shopee-product-match-image", "kernel_id": "15445020"}, {"ref": "msafi04/shopee-product-title-customstopwords", "kernel_id": "15604980"}, {"ref": "yeonghyeon/shopee-easy-to-run", "kernel_id": "15614458"}, {"ref": "snnclsr/shopee-eda-starter-images-titles", "kernel_id": "15737990"}, {"ref": "jenishah/exploring-data-to-decide-a-model", "kernel_id": "15399759"}, {"ref": "nativityinblack/tf-idf", "kernel_id": "15650555"}, {"ref": "nativityinblack/baseline", "kernel_id": "15633731"}, {"ref": "vishnuvreddy/eda-for-shopee-similarity", "kernel_id": "15457146"}, {"ref": "franckepeixoto/phash-determine-whether-2-images-are-equal-or-not", "kernel_id": "15497828"}, {"ref": "magreen/yet-another-shopee-eda", "kernel_id": "15623705"}, {"ref": "ragnar123/shopee-training-baseline", "kernel_id": "15410220"}, {"ref": "ragnar123/shopee-inference-cosine-distance-approach", "kernel_id": "15414789"}, {"ref": "ragnar123/shopee-tf-records-512", "kernel_id": "15438061"}, {"ref": "ragnar123/shopee-efficientnetb3-arcmarginproduct", "kernel_id": "15545212"}, {"ref": "ragnar123/bert-baseline", "kernel_id": "15543362"}, {"ref": "ragnar123/unsupervised-baseline-arcface", "kernel_id": "15563405"}, {"ref": "imroze/pairwise-match-binary-classification-on-cpu", "kernel_id": "15640993"}, {"ref": "alexhsieh53/pytorch-arcface-inference", "kernel_id": "15990029"}, {"ref": "vicioussong/rapids-tfidfvectorizer-cv-0-734", "kernel_id": "15468859"}, {"ref": "vicioussong/text-only-word2vec-cpu-baseline", "kernel_id": "15492194"}, {"ref": "vicioussong/shopee-imagededup-performance-test", "kernel_id": "15512185"}, {"ref": "vicioussong/nlp-augmentation", "kernel_id": "15679456"}, {"ref": "vicioussong/shopee-image-benchmark", "kernel_id": "15942223"}, {"ref": "docxian/first-glance-hash-calcs-and-color-distributions", "kernel_id": "15746967"}, {"ref": "namgalielei/shopeeeffb3-submission", "kernel_id": "15972673"}, {"ref": "mohneesh7/shopee-challenge-eda-nlp-on-title-ocr", "kernel_id": "15629142"}, {"ref": "mohneesh7/feature-engineering-cleaned-title-ocr", "kernel_id": "15801716"}, {"ref": "mnavaidd/shopee-rapids-tfidfvectorizer", "kernel_id": "15495549"}, {"ref": "uthamkanth/shopee-text-modelling-and-its-visual-outputs", "kernel_id": "15421921"}, {"ref": "xfffrank/shopee-eda-basic", "kernel_id": "15805528"}, {"ref": "hongym7/ocr-tutorial-feat-tesseract", "kernel_id": "15607178"}, {"ref": "srcecde/shoppee-eda-fuzzymatch-phash-cosinesim-tfidf", "kernel_id": "15408177"}, {"ref": "srcecde/shoppee-locality-sensitive-hashing-jaccard-cosine", "kernel_id": "15719414"}, {"ref": "dschettler8845/visual-eda-baseline-shopee", "kernel_id": "15417417"}, {"ref": "anthokalel/autoencoder-pipeline-for-image-retrieval", "kernel_id": "15431213"}, {"ref": "pratikmahankal/shopee", "kernel_id": "15715899"}, {"ref": "lars123/sentence-transformers-xlm-bert", "kernel_id": "15539955"}, {"ref": "lars123/only-text-minimal-example-cv-0-66", "kernel_id": "15502652"}, {"ref": "basu369victor/shopee-siamese-vgg-16-with-contrastive-loss", "kernel_id": "15934708"}, {"ref": "harshitkhandelwal/eda-starter-effnet", "kernel_id": "15494928"}, {"ref": "cdeotte/part-2-rapids-tfidfvectorizer-cv-0-700", "kernel_id": "15434135"}, {"ref": "cdeotte/rapids-cuml-tfidfvectorizer-and-knn", "kernel_id": "15395866"}, {"ref": "nandhuelan/text-image-metric-learning", "kernel_id": "15573393"}, {"ref": "reppy4620/tfbertmodel-arcmargin-tpu-training", "kernel_id": "15738025"}, {"ref": "abiolatti/distillroberta-features", "kernel_id": "15586805"}, {"ref": "santoshd3/shopee", "kernel_id": "15550340"}, {"ref": "njelicic/tripletloss-pytorch-data-preparation", "kernel_id": "15537725"}, {"ref": "njelicic/tripletloss-pytorch-training", "kernel_id": "15451020"}, {"ref": "ghaiyur/starter-baseline-tf", "kernel_id": "15665858"}, {"ref": "zzy990106/b0-bert-cv0-9", "kernel_id": "15524671"}, {"ref": "samir95/eda-and-duplicate-identification", "kernel_id": "15525491"}, {"ref": "samir95/phash-distance-matrix", "kernel_id": "15674217"}, {"ref": "slawekbiel/arcface-explained", "kernel_id": "15633409"}, {"ref": "haiquangng/metric-learning-image-tfidf-inference", "kernel_id": "15923255"}, {"ref": "coder247/similarity-using-word2vec-text", "kernel_id": "15938810"}, {"ref": "muamkh/shopeemultichannelcontacts", "kernel_id": "15420410"}, {"ref": "snehalsandri007/eda-shopee", "kernel_id": "15712546"}, {"ref": "rdsquare/data-prep-siemese-network-in-shopee-compition", "kernel_id": "15738161"}, {"ref": "manabendrarout/image-and-text-eda-very-naive-model", "kernel_id": "15400796"}, {"ref": "xhlulu/shopee-siamese-resnet-50-image-only-submission", "kernel_id": "15930679"}, {"ref": "xhlulu/shopee-generate-data-for-triplet-loss", "kernel_id": "15905722"}, {"ref": "xhlulu/shopee-siamese-resnet-50-with-triplet-loss-on-tpu", "kernel_id": "15906705"}, {"ref": "pritommojumder/shopee-price-matching-experiment", "kernel_id": "15473130"}, {"ref": "manwithaflower/shopee-bert-images", "kernel_id": "15843300"}, {"ref": "lys620/shopee-matching-eda", "kernel_id": "15406659"}, {"ref": "karthur10/resnet-sbert-unsupervised-baseline", "kernel_id": "15692812"}, {"ref": "eladwar/phash-starter", "kernel_id": "15481494"}, {"ref": "smits31/shopee-with-pretrained-models", "kernel_id": "15836482"}, {"ref": "yaheaal/augmentation-using-albumentations", "kernel_id": "15533545"}, {"ref": "ahmedewida/unsupervised-baseline-arcface", "kernel_id": "15973117"}, {"ref": "tanulsingh077/pytorch-metric-learning-pipeline-only-images", "kernel_id": "15657886"}, {"ref": "tanulsingh077/metric-learning-image-tfidf-inference", "kernel_id": "15660996"}, {"ref": "tanulsingh077/siamese-style-training-efficient-net-b0", "kernel_id": "15530647"}, {"ref": "tanulsingh077/code-for-data-generation-for-siamese-training", "kernel_id": "15398936"}, {"ref": "takusid/find-similar-images-use-dm-nfnet", "kernel_id": "15409232"}, {"ref": "takusid/sample-submit", "kernel_id": "15402727"}, {"ref": "takusid/image-embeddings-cv-0-988", "kernel_id": "15647565"}, {"ref": "harshitt21/shopee-arcface", "kernel_id": "15892187"}, {"ref": "drcapa/shopee-price-match-guarantee-starter", "kernel_id": "15400468"}, {"ref": "ruchi798/shopee-eda-rapids-preprocessing-w-b", "kernel_id": "15397730"}, {"ref": "wolfgang91/shopee-eda-hamming-distance-and-sentence-embedding", "kernel_id": "15412798"}, {"ref": "muhammad4hmed/you-need-more-tensors-in-neighbourhood", "kernel_id": "15985666"}, {"ref": "accountstatus/shopee-competition-using-bert-model", "kernel_id": "15485758"}, {"ref": "heyytanay/finding-similar-images-using-image-deduplicator", "kernel_id": "15443981"}, {"ref": "heyytanay/shopee-eda-understanding-the-competition", "kernel_id": "15397354"}, {"ref": "guodaniel/shopee", "kernel_id": "15884826"}, {"ref": "piantic/simple-baseline", "kernel_id": "15399788"}, {"ref": "andradaolteanu/i-shopee-text-prep-fe-image-augmentation", "kernel_id": "15408157"}, {"ref": "andradaolteanu/ii-shopee-model-training-with-pytorch-x-rapids", "kernel_id": "15554773"}, {"ref": "puran123/shopee-eda", "kernel_id": "15426576"}, {"ref": "catadanna/result-for-the-3-test-images-using-text", "kernel_id": "15716360"}, {"ref": "amjad91/exploratory-data-analysis-shopee", "kernel_id": "15469493"}, {"ref": "hugoml/notebooke158c8a625", "kernel_id": "15912617"}, {"ref": "sumeetsawant/shopeedataset-creating-tf-record-files-groupkfold", "kernel_id": "15988015"}, {"ref": "abhishekraikaushik/word-mover-distance-text-similarity", "kernel_id": "15980118"}, {"ref": "rohitsingh9990/shopee-error-analysis", "kernel_id": "15542707"}, {"ref": "chumajin/eda-of-shopee-for-starter", "kernel_id": "15395045"}, {"ref": "chumajin/eda-of-shopee-for-starter-version", "kernel_id": "15524361"}, {"ref": "maksymshkliarevskyi/shopee-before-we-start-eda-phash-baseline", "kernel_id": "15400710"}, {"ref": "taherhaggui/modelisation-using-tf-efficienet", "kernel_id": "15612461"}, {"ref": "taherhaggui/bert-effecient0-quick-implementation", "kernel_id": "15765164"}, {"ref": "taherhaggui/effnetb0-arcface-training", "kernel_id": "15962167"}, {"ref": "readoc/extract-measurements-feature-engineering", "kernel_id": "15803993"}, {"ref": "manjunathns/shopee-02", "kernel_id": "15512162"}, {"ref": "shivam3052/shopee", "kernel_id": "15552565"}, {"ref": "rakkaalhazimi/unsupervised-method-phash-im-text", "kernel_id": "15678361"}, {"ref": "allohvk/shoppe-unmatch-let-us-go-contrarian", "kernel_id": "15762965"}, {"ref": "dragonzhang/unsupervised-baseline-arcface-efficientnet", "kernel_id": "15597112"}, {"ref": "dongdori/triplet-network-fine-tuning-with-batch-mining", "kernel_id": "15683311"}, {"ref": "tomohiroh/shopee-autoencoder-knn", "kernel_id": "15406500"}, {"ref": "ishandutta/v7-shopee-indepth-eda-one-stop-for-all-your-needs", "kernel_id": "15404105"}, {"ref": "swathithiruveravi/eda-and-naive-approach", "kernel_id": "15411239"}, {"ref": "akhileshdkapse/learn-image-embedding-via-unet-tpu-part-i", "kernel_id": "15671055"}, {"ref": "josephassaker/shopee-comprehensive-eda-all-you-need-to-know", "kernel_id": "15423620"}, {"ref": "moeinshariatnia/contrastive-loss-pretraining-in-depth-explanation", "kernel_id": "15721261"}, {"ref": "moeinshariatnia/indonesian-distilbert-finetuning-with-arcmargin", "kernel_id": "15781372"}, {"ref": "elysium1436/notebook7249784b98", "kernel_id": "15541718"}, {"ref": "liulingxiao/image-text-baseline2", "kernel_id": "15777616"}, {"ref": "tmhrkt/shopee-cv-splitting-way", "kernel_id": "15712258"}, {"ref": "tomonorisasaki/simple-shopee-eda", "kernel_id": "15415419"}, {"ref": "caicaicaicaicai/b0-bert-cv0-9", "kernel_id": "15583090"}, {"ref": "qunhminh/notebooke106851484", "kernel_id": "15737331"}, {"ref": "underwearfitting/pytorch-densenet-arcface-validation-inference", "kernel_id": "15706478"}, {"ref": "underwearfitting/pytorch-densenet-arcface-validation-training", "kernel_id": "15705860"}, {"ref": "ulhaqi12/eda-shopee-price-match-guarantee", "kernel_id": "15423145"}, {"ref": "darknesszx/image-text-baseline1", "kernel_id": "15742203"}, {"ref": "shanmukh05/shopee-pmg-tensorflow-tpu-training", "kernel_id": "15471355"}, {"ref": "shanmukh05/shopee-contrastiveloss-tensorflow-tpu-training", "kernel_id": "15935179"}, {"ref": "jaycuti/shopee-eda-depth-rapids", "kernel_id": "15434355"}, {"ref": "khiemledev/apply-u-net-on-shopeechallenge", "kernel_id": "15783981"}, {"ref": "khiemledev/apply-efficientunet-on-shopeechallenge", "kernel_id": "15935875"}, {"ref": "swhong409/edatest", "kernel_id": "15658201"}, {"ref": "swhong409/howdoisubmit", "kernel_id": "15658459"}, {"ref": "sandersli/shopee-image-triplets-tfrecs", "kernel_id": "15992650"}, {"ref": "mansichoudhary3296/shopee-1", "kernel_id": "15726116"}, {"ref": "xuxu1234/you-need-more-tensors-in-neighbourhood", "kernel_id": "15991050"}, {"ref": "rotembaruch/rotem-shopee", "kernel_id": "15915235"}, {"ref": "saztorralba/productsimilarity-textonlylstmencoder", "kernel_id": "15722260"}, {"ref": "cuimdi/image-text-baseline", "kernel_id": "15847034"}, {"ref": "chienhsianghung/shopee-text-img-embedding-colab-enabled", "kernel_id": "15523548"}, {"ref": "h053473666/df-5-5", "kernel_id": "15979429"}, {"ref": "h053473666/unsupervised-baseline-arcface-noisy-student", "kernel_id": "15992095"}, {"ref": "h053473666/efficientnetb3-arcmarginproduct-noisy", "kernel_id": "15990883"}, {"ref": "h053473666/cpu-avg-pooling-k-means-cv-0-575", "kernel_id": "15996526"}, {"ref": "xholisilemantshongo/image-recognition-and-classification", "kernel_id": "15468237"}, {"ref": "xholisilemantshongo/image-recognition-and-classification-iii", "kernel_id": "15540014"}, {"ref": "yuefanwu/rapids-tfidfvectorizer-cv-0-734-learning", "kernel_id": "15486288"}, {"ref": "yasinnaal/shopee-price-match-guarantee-yasin", "kernel_id": "15586116"}, {"ref": "parthdhameliya77/simple-arcface-implementation-on-mnist-dataset", "kernel_id": "15715854"}, {"ref": "parthdhameliya77/create-anchor-positive-negative-imagedataset", "kernel_id": "15518058"}, {"ref": "nvminno/lb-0-71-cv-for-image-0-906", "kernel_id": "15553036"}, {"ref": "mohamedbakrey/shopee-model-training-show-image", "kernel_id": "15541951"}, {"ref": "mohamedbakrey/m-b-shopee-product-matching", "kernel_id": "15447319"}, {"ref": "jasonhuanghao/cnnnn", "kernel_id": "15898311"}, {"ref": "masatouchi/eda-of-shopee-for-starter", "kernel_id": "15525584"}, {"ref": "weiheli/qwq-baseline", "kernel_id": "15851256"}, {"ref": "kashikayadav1/eda-of-shopee-for-starter", "kernel_id": "15403650"}, {"ref": "shengyfu/metric-learning-image-tfidf-inference", "kernel_id": "15949479"}, {"ref": "hemrajsurti1/product-title-wmd-or-cosine-similarity", "kernel_id": "15676998"}, {"ref": "sunshinesyc/image-text-baseline", "kernel_id": "15743077"}, {"ref": "wenxiaohan/unsupervised-image-text-baseline-in-20min", "kernel_id": "15787499"}, {"ref": "atmguille/shopee-object-detection-generate-data", "kernel_id": "15841719"}, {"ref": "agarwalakshita/shopee-price-guarantee", "kernel_id": "15938675"}, {"ref": "bernhard1/compx560", "kernel_id": "16184224"}, {"ref": "bernhard1/just-using-phash", "kernel_id": "16219506"}, {"ref": "bernhard1/reaching-0-612-with-text-only-shopee", "kernel_id": "16584388"}, {"ref": "zachmayer/siamese-text-model", "kernel_id": "16882482"}, {"ref": "zachmayer/pairwise-dataset", "kernel_id": "16863054"}, {"ref": "ruhong/phash-determine-whether-2-images-are-equal-or-not", "kernel_id": "16086933"}, {"ref": "ruhong/shopee-product-matching", "kernel_id": "16080536"}, {"ref": "ruhong/symspellpy-demo", "kernel_id": "16364872"}, {"ref": "ruhong/shopee-product-matching-escaped-bytes-in-title", "kernel_id": "16342559"}, {"ref": "ruhong/shopee-product-matching-arcface", "kernel_id": "16630258"}, {"ref": "ruhong/shopee-efficientnetb3-arcmarginproduct", "kernel_id": "16575649"}, {"ref": "nicksergievskiy/pytorch-is-all-you-need-tfidf", "kernel_id": "16616130"}, {"ref": "tereka/efficientnet-resnet200d-distilbert-2stg2", "kernel_id": "16719751"}, {"ref": "tereka/efficientnet-resnet200d-distilbert-refactor-2ndstg", "kernel_id": "16605731"}, {"ref": "rahul15495/meta-and-mean", "kernel_id": "16657735"}, {"ref": "rahul15495/meta-concat-model-trainer", "kernel_id": "16828683"}, {"ref": "aerdem4/shopee-v03", "kernel_id": "16112458"}, {"ref": "sushantpekar/shopee-create-training-data-for-siamese-network", "kernel_id": "16050465"}, {"ref": "mzntaka0/pretty-naive-prediction", "kernel_id": "16113527"}, {"ref": "finlay/shopee-products-matching-augment-part-english", "kernel_id": "16032109"}, {"ref": "lhagiimn/shoppee-inference-final-concat-models", "kernel_id": "16795375"}, {"ref": "lhagiimn/shopee-pretrained-models", "kernel_id": "16544033"}, {"ref": "lhagiimn/shopee-pretrained-models-v1", "kernel_id": "16575932"}, {"ref": "lhagiimn/shopee-tf-with-tpu-256x256-tfrecs", "kernel_id": "16082732"}, {"ref": "tanzir/get-similarity-using-wrd2vec-and-cosine-similarity", "kernel_id": "16316070"}, {"ref": "kiccho11/6th-place-training-models-kiccho-s-part", "kernel_id": "16982396"}, {"ref": "fernandocamargo/shopee-submission", "kernel_id": "16021904"}, {"ref": "haruhiko/evaluate-ocr", "kernel_id": "16217058"}, {"ref": "quincyqiang/local-unsupervised-baseline-arcface", "kernel_id": "16291574"}, {"ref": "kcostya/ride-the-lightning-inference", "kernel_id": "16572231"}, {"ref": "kcostya/ride-the-lightning-training", "kernel_id": "16507041"}, {"ref": "a2015003713/shopee-nfnetf0-dsitilbert-soft-voting", "kernel_id": "16837348"}, {"ref": "krisho007/my-learnings-from-this-competition", "kernel_id": "16629347"}, {"ref": "krisho007/baseline", "kernel_id": "16037722"}, {"ref": "krisho007/shopee-tfidfvectorizer-and-effnetb0", "kernel_id": "16272628"}, {"ref": "lyakaap/2nd-place-solution", "kernel_id": "16908160"}, {"ref": "hengzheng/efficientnets-berts2la-tfidf-arcface-full-vote", "kernel_id": "16258926"}, {"ref": "ragnar123/shopee-inference-efficientnetb1-tfidfvectorizer", "kernel_id": "16074994"}, {"ref": "imroze/tfidf-arcface-advanced-text-processing-131st", "kernel_id": "16813624"}, {"ref": "prashantkikani/shopee-ensemble-of-multiple-models", "kernel_id": "16315025"}, {"ref": "rilkewang/shopee-text-st-train", "kernel_id": "16607471"}, {"ref": "rilkewang/contrastive-learning-with-hard-neg-samples-sbert", "kernel_id": "16755125"}, {"ref": "salimkhazem/tf-idf-rapids-arc-margin-shopee-v", "kernel_id": "16555738"}, {"ref": "salimkhazem/create-tfrecord-512x-5212", "kernel_id": "16491136"}, {"ref": "alturutin/shopee-tfrecords", "kernel_id": "16086125"}, {"ref": "aisland/notebook664509cf76", "kernel_id": "16169357"}, {"ref": "jacob34/baseline-probing", "kernel_id": "16225952"}, {"ref": "jacob34/lb-probing-product-overlap-shared", "kernel_id": "16175244"}, {"ref": "kingstying/shopee-eda", "kernel_id": "16066673"}, {"ref": "lizhaonan/nfnet-l0-efficientnet-b5-ensemble-inference", "kernel_id": "16684812"}, {"ref": "izotov/idg-shopee-training-eff-b4", "kernel_id": "16157323"}, {"ref": "ankursingh12/shopee-swav-training", "kernel_id": "16300496"}, {"ref": "ankursingh12/shopee-ensemble-b3-nfnet-l0-inference", "kernel_id": "16349318"}, {"ref": "ankursingh12/shopee-swav-inference", "kernel_id": "16486495"}, {"ref": "dharmiksv/notebook7cc69ca39a", "kernel_id": "16123181"}, {"ref": "carsonzhe/pretrain-img-tfidf", "kernel_id": "16281590"}, {"ref": "carsonzhe/eda-image-text-baseline", "kernel_id": "16259508"}, {"ref": "mhilmiasyrofi/image-text-with-retrained-model", "kernel_id": "16018527"}, {"ref": "prashantchandel1097/ensemble-of-multiple-models-lb0-733", "kernel_id": "16441598"}, {"ref": "medvedew/shopee-only-w2v-cpu", "kernel_id": "16664354"}, {"ref": "harshitkhandelwal/fork-of-fork-of-submision", "kernel_id": "16287469"}, {"ref": "woosunglee0118/first", "kernel_id": "16297153"}, {"ref": "harangdev/shopee-embedding-visualizations-before-after-inb", "kernel_id": "16950142"}, {"ref": "anlgrbz/how-optimum-threshold-changes-with-embed-test-size", "kernel_id": "16258675"}, {"ref": "anlgrbz/embed-type-optimum-threshold-search-inference", "kernel_id": "16008045"}, {"ref": "mnthasi/210412-first-kernel", "kernel_id": "16169356"}, {"ref": "berkayuyar/unsupervised-image-proxynca-text-baseline", "kernel_id": "16707512"}, {"ref": "slawekbiel/resnet18-0-772-public-lb", "kernel_id": "16895612"}, {"ref": "eneszvo/shopee-summary-efficientnet-arcface-bert", "kernel_id": "16382159"}, {"ref": "eneszvo/clean-wrong-labels-speed-up-with-bktree", "kernel_id": "16309263"}, {"ref": "keisuke07/shopee-tf-records-512-stratkfold", "kernel_id": "16182528"}, {"ref": "abhishekvermasg1/eda-wordcloud-indo-eng-insights", "kernel_id": "16050655"}, {"ref": "abhishekvermasg1/shopee-mobilenet-baseline", "kernel_id": "16298750"}, {"ref": "realsid/stratifiedgroupkfold-using-sklearn", "kernel_id": "16499640"}, {"ref": "ayuraj/v2-self-supervised-pretraining-with-swav", "kernel_id": "16170935"}, {"ref": "c7934597/tf-idf-rapids-arc-margin-shopee", "kernel_id": "16845914"}, {"ref": "narikawa/shopee-eda", "kernel_id": "16222428"}, {"ref": "narikawa/shopee-metriclearning", "kernel_id": "16299363"}, {"ref": "cyberpunk317/shopee-product-matching-full", "kernel_id": "16790808"}, {"ref": "nokokgl/shopee-pytorch-resnet50-tfidf-faiss", "kernel_id": "16148410"}, {"ref": "parkharit/rapids-tfidfvectorizer-cv-0-700", "kernel_id": "16504404"}, {"ref": "ricopue/fast-sklearn-pairwise-distances-chunked", "kernel_id": "16703064"}, {"ref": "yukiohkawa/arcface-image-model", "kernel_id": "16192178"}, {"ref": "yukiohkawa/remove-duplicated-data", "kernel_id": "16243177"}, {"ref": "yukiohkawa/shopee-data-check", "kernel_id": "16147174"}, {"ref": "yukiohkawa/shopee-data-to-tfrecord", "kernel_id": "16268305"}, {"ref": "thepushkarp/cs308-project-team", "kernel_id": "16497858"}, {"ref": "mrinath/train-rarity", "kernel_id": "16583707"}, {"ref": "mrinath/rarity-folds", "kernel_id": "16580397"}, {"ref": "alibaba19/fastai-arcface-pipeline-training", "kernel_id": "16487770"}, {"ref": "tanulsingh077/masked-token-pretraining-xlm-roberta", "kernel_id": "16217780"}, {"ref": "tanulsingh077/reaching-0-612-with-text-only-shopee", "kernel_id": "16066483"}, {"ref": "tanulsingh077/metric-learning-pipeline-only-text-sbert", "kernel_id": "16254115"}, {"ref": "sapthrishi007/pytorch-metric-learning-pipeline-only-images", "kernel_id": "16270172"}, {"ref": "sapthrishi007/shopee-pytorch-siamese-triplet-loss-xlmroberta", "kernel_id": "16034919"}, {"ref": "sapthrishi007/shopee-txt-siameseimg-phash-inf", "kernel_id": "16194452"}, {"ref": "sapthrishi007/shopee-pytorch-siamese-triplet-img", "kernel_id": "16126408"}, {"ref": "sapthrishi007/shopee-pytorch-xlmroberta-doubles-relativebinclf", "kernel_id": "16123450"}, {"ref": "mmellinger66/shopeetfidf-only", "kernel_id": "16331300"}, {"ref": "maunish/shopee-bert-train", "kernel_id": "16299224"}, {"ref": "talha1503/shopee-eda", "kernel_id": "16073681"}, {"ref": "bhavesjain/shopee-infer-img", "kernel_id": "16830520"}, {"ref": "takusid/how-to-make-prediction", "kernel_id": "16845303"}, {"ref": "takusid/37th-place-solution-version-76", "kernel_id": "16302939"}, {"ref": "ismaildennizli/shopee-unsupervised-product-match-inference", "kernel_id": "16659706"}, {"ref": "linqinghong/nfnetl0-l1-b5-tfidf-sbert-indonesianbert-w2v-clip", "kernel_id": "16751857"}, {"ref": "anacgarcia/knn-model", "kernel_id": "16544436"}, {"ref": "muhammad4hmed/b3-tfidf-knn-boom-p", "kernel_id": "16094020"}, {"ref": "heyytanay/training-using-simclr-in-tensorflow", "kernel_id": "16688164"}, {"ref": "harshsharma511/shopee-understanding-the-competition-eda-rapids", "kernel_id": "16115327"}, {"ref": "piyushagni5/final-shopee-efficientnetb3-bert-arcmargin", "kernel_id": "16775487"}, {"ref": "kyoshioka47/calculate-cv-with-only-pytorch", "kernel_id": "16278513"}, {"ref": "dpaul891/train-model1-image-only", "kernel_id": "16988869"}, {"ref": "dpaul891/submission-model3-image-eff-text-tfidf-bert", "kernel_id": "16994142"}, {"ref": "dpaul891/train-model4-image-eff-text-bert-early-fusion", "kernel_id": "16995844"}, {"ref": "dpaul891/submission-model2-image-eff-text-tfidf", "kernel_id": "16992041"}, {"ref": "dpaul891/train-bert-model", "kernel_id": "16992287"}, {"ref": "dpaul891/submission-model1-image-only", "kernel_id": "16991613"}, {"ref": "amoghmulge1/similarity-using-word2vec-text", "kernel_id": "16624413"}, {"ref": "pushpalathamohith/shopee-product-match-model", "kernel_id": "16694324"}, {"ref": "sayantankirtaniya/eca-nfnet-l1-model-training-mish-silu", "kernel_id": "16320007"}, {"ref": "mfalfafa/text-vectorizer-for-all-training", "kernel_id": "16643057"}, {"ref": "mfalfafa/shopee-tfrecord-512-all", "kernel_id": "16643114"}, {"ref": "mfalfafa/shopee-nf-net-all-training", "kernel_id": "16554920"}, {"ref": "mfalfafa/shopee-text-cleaner-for-roberta-base-id-all", "kernel_id": "16824416"}, {"ref": "chandragupta0001/triplet-data-generation-pytorch", "kernel_id": "16518414"}, {"ref": "adegladius/shopee-ensemble-b3-nfnet-l0", "kernel_id": "16402831"}, {"ref": "innnnndo/model2-60e-mymodel", "kernel_id": "16365409"}, {"ref": "innnnndo/class4", "kernel_id": "16191584"}, {"ref": "tianbaojie/some-target-maybe-wrong-less-in-the-training-data", "kernel_id": "16441986"}, {"ref": "srilakshminalla/shopee-project", "kernel_id": "16437372"}, {"ref": "michaelqq/shopee-image", "kernel_id": "16543630"}, {"ref": "michaelqq/shopee-image-threshold2-9-tfidf-phash", "kernel_id": "16794249"}, {"ref": "michaelqq/shopee-ensemble-of-multiple-models", "kernel_id": "16797711"}, {"ref": "michaelqq/shopee-label-correction", "kernel_id": "16384133"}, {"ref": "michaelqq/shopee-efficientnet-b0-b7", "kernel_id": "16344407"}, {"ref": "michaelqq/shopee-data-augmentation", "kernel_id": "16235974"}, {"ref": "michaelqq/shopee-resnet18-training", "kernel_id": "16215079"}, {"ref": "michaelqq/shopee-product-picture-analysis", "kernel_id": "16076486"}, {"ref": "michaelqq/shopee-data-analysis-correct-wrong-labels", "kernel_id": "16033114"}, {"ref": "taherhaggui/bert-arc-face-training", "kernel_id": "16150757"}, {"ref": "taherhaggui/arc-face-embedding-approach", "kernel_id": "16107261"}, {"ref": "chihantsai/b3-try", "kernel_id": "16165837"}, {"ref": "chihantsai/only-text-sbert-with-dict", "kernel_id": "16327632"}, {"ref": "chihantsai/fork-of-0-741-kernel", "kernel_id": "16808113"}, {"ref": "andreasthomasen/how-to-bert-shopee-price-match-part-i", "kernel_id": "16437810"}, {"ref": "allohvk/transitive-relations-do-they-help", "kernel_id": "16363265"}, {"ref": "allohvk/offline-translator-indonesean-to-english-reverse", "kernel_id": "16112202"}, {"ref": "leomlenthusiast/text-pred", "kernel_id": "16676896"}, {"ref": "leomlenthusiast/find-text-from-images", "kernel_id": "16613773"}, {"ref": "atsushiiwasaki/speed-up-the-inner-product-for-cosine-similarity", "kernel_id": "16246719"}, {"ref": "yehoonjoo/shopee-detecting-product-similarity", "kernel_id": "16383642"}, {"ref": "yukfaiwong/shopee-val", "kernel_id": "16882081"}, {"ref": "yukfaiwong/shopee-train-only", "kernel_id": "16861234"}, {"ref": "yukfaiwong/shopee-full-model", "kernel_id": "16774365"}, {"ref": "jyotmakadiya/shopee-groupkfolds-effnetb1-and-tfidf-or-bert", "kernel_id": "16350087"}, {"ref": "ka7eemwaheed/notebookshopee-hp1", "kernel_id": "16134003"}, {"ref": "thaitang/contrastive-learning-with-hard-neg-samples-sbert", "kernel_id": "16492609"}, {"ref": "liuneng12/pytorch-eca-nfnet-l0-image-tfidf-inference", "kernel_id": "16343195"}, {"ref": "maxmar/shopee-4d", "kernel_id": "16758948"}, {"ref": "debarshichanda/pytorch-supervised-contrastive-learning", "kernel_id": "16271147"}, {"ref": "mingyuxu/shopee-submission-nfnet-effnet-tfidf", "kernel_id": "16696223"}, {"ref": "mingyuxu/shopee-validation", "kernel_id": "16849489"}, {"ref": "anggidwifiani/visualize-to-detect-images-duplicated", "kernel_id": "16855282"}, {"ref": "tmhrkt/shopee-inference-notebook", "kernel_id": "16753221"}, {"ref": "workml/global-3535-fold-3", "kernel_id": "16903643"}, {"ref": "danielkorth/visualizing-neural-networks-using-t-sne-and-umap", "kernel_id": "16163379"}, {"ref": "trandinhkhang0279/test-submission", "kernel_id": "16193303"}, {"ref": "shigemitsutomizawa/shopee-training-bert-11th-place-simple-solution", "kernel_id": "16952890"}, {"ref": "shigemitsutomizawa/shopee-inference-11th-place-simple-solution", "kernel_id": "16931966"}, {"ref": "nabapadma/get-similarity-using-wrd2vec-and-cosine-similarity", "kernel_id": "16339768"}, {"ref": "nabapadma/knn-word2vec-cosine-similarity", "kernel_id": "16315359"}, {"ref": "bargavjagatha/rapids-effecientnet-tfidfvectorizer", "kernel_id": "16528708"}, {"ref": "hedwig100/tfidf-with-text-preprocess", "kernel_id": "16319892"}, {"ref": "toshihikok/148th-nfnet-l0-nfnet-l1-ensemble-inference", "kernel_id": "16768565"}, {"ref": "leolu1998/nfnet-l0-efficientnet-b5-ensemble-inference", "kernel_id": "16635660"}, {"ref": "khiemledev/unsupervised-image-text-baseline-in-20min", "kernel_id": "16030575"}, {"ref": "mvenou/productmatching-siamese-network", "kernel_id": "16590320"}, {"ref": "jackiemai/siamese-network-eff-b0-training", "kernel_id": "16337622"}, {"ref": "jackiemai/shopee-ensemble-b3-nfnet-l0-inference", "kernel_id": "16385184"}, {"ref": "jackiemai/triplets-train-of-pytorch", "kernel_id": "16365092"}, {"ref": "jackiemai/ensemble-model", "kernel_id": "16188994"}, {"ref": "jackiemai/arcface-resnet18", "kernel_id": "16077760"}, {"ref": "jackiemai/shopee-training-eff-b4", "kernel_id": "16105142"}, {"ref": "jackiemai/shopee-pytorch-eca-nfnet-l1-image-training", "kernel_id": "16582595"}, {"ref": "sandersli/shopee-product-matching-create-tfrecords", "kernel_id": "16158802"}, {"ref": "sandersli/shopee-arcface-tf-idf-knn-threshold-search", "kernel_id": "16508157"}, {"ref": "sandersli/shopee-product-matching-efficientnet-gem-arcface", "kernel_id": "16262974"}, {"ref": "zakarii/optimum-threshold-25-000", "kernel_id": "16490040"}, {"ref": "joshualancaster/arcface-submission", "kernel_id": "16444908"}, {"ref": "dolphin15/shopee-ensemble-infer-new-models-tfidfemsemble", "kernel_id": "16859508"}, {"ref": "hifihyp/nfnet-l0-efficientnet-b5-ensemble-inference", "kernel_id": "16497860"}, {"ref": "weezijian/ensemble-model", "kernel_id": "16542140"}, {"ref": "shreyansh2626/effnet-noisy-student-bert-arcface-tfidf", "kernel_id": "16944843"}, {"ref": "ekaterinadranitsyna/shoppee-sub-version", "kernel_id": "16063525"}, {"ref": "dylanliuofficial/ensemble-based-on-distance", "kernel_id": "16625092"}, {"ref": "hanyuez/shopee-competition", "kernel_id": "16298146"}, {"ref": "nickthenick23/shopee-fast-indonesian-english-translator-offline", "kernel_id": "16834212"}, {"ref": "cheesamaa/shopee-product-macthing-xbm-contrastive-learning", "kernel_id": "16265964"}, {"ref": "jeromeblin/shopee-clip-zero-shot-learning", "kernel_id": "16229936"}, {"ref": "saichandubobbili/newbies-shopee-training-eff-b7", "kernel_id": "16366692"}, {"ref": "ttjccc/commit-any-notebook-in-less-than-10-seconds", "kernel_id": "16521537"}, {"ref": "kunihikofurugori/torch-multidml-img-text-tfidf-faiss", "kernel_id": "16652679"}, {"ref": "kunihikofurugori/inference-shopee-bert", "kernel_id": "16766938"}, {"ref": "kunihikofurugori/shopee-s380model-finalsubmission", "kernel_id": "16720710"}, {"ref": "brucesacrifice/5-submit", "kernel_id": "16511775"}, {"ref": "brucesacrifice/4-submit", "kernel_id": "16512446"}, {"ref": "brucesacrifice/fork-of-first-submit", "kernel_id": "16504055"}, {"ref": "brucesacrifice/second-submit", "kernel_id": "16105529"}, {"ref": "brucesacrifice/tf-idf-rapids-arc-margin-shopee", "kernel_id": "16585169"}, {"ref": "brucesacrifice/3efficient-arcface", "kernel_id": "16585184"}, {"ref": "brucesacrifice/3models-arcface", "kernel_id": "16602377"}, {"ref": "carloszonetgmailcom/shopee-create-tfrecords", "kernel_id": "16570594"}, {"ref": "carloszonetgmailcom/shopee-image-text-phash", "kernel_id": "16704044"}, {"ref": "chienhsianghung/shopee-pytorch-eca-nfnet-l0-image-training", "kernel_id": "16757067"}, {"ref": "chienhsianghung/2class-infer-batch-20-cv-score-checking", "kernel_id": "16878455"}, {"ref": "chienhsianghung/shopee-training-eff-b3-b5", "kernel_id": "16820715"}, {"ref": "chienhsianghung/eff-b4-bert-tfidf", "kernel_id": "16319073"}, {"ref": "chienhsianghung/eff-b5-eca-nfnet-l0-eff-b3-tf-idf-bert", "kernel_id": "16315331"}, {"ref": "chienhsianghung/eff-b4-tfidf-w-cv-for-threshold-searching", "kernel_id": "16280690"}, {"ref": "h053473666/2class-infer-batch-20", "kernel_id": "16829951"}, {"ref": "akshayr009/shopee", "kernel_id": "16386978"}, {"ref": "xulijuan/timm-swin", "kernel_id": "16771369"}, {"ref": "manjiribit/generating-submission-csv", "kernel_id": "16896503"}, {"ref": "manjiribit/mean-acc", "kernel_id": "16570968"}, {"ref": "parthdhameliya77/pytorch-resnext50-32x4d-image-tfidf-inference", "kernel_id": "16057078"}, {"ref": "parthdhameliya77/pytorch-efficientnet-b3-image-tfidf-inference", "kernel_id": "16103402"}, {"ref": "parthdhameliya77/pytorch-efficientnet-b5-image-tfidf-inference", "kernel_id": "16231010"}, {"ref": "parthdhameliya77/nfnet-l0-efficientnet-b5-ensemble-inference", "kernel_id": "16483526"}, {"ref": "parthdhameliya77/shopee-pytorch-eca-nfnet-l0-image-training", "kernel_id": "16305840"}, {"ref": "parthdhameliya77/pytorch-eca-nfnet-l0-image-tfidf-inference", "kernel_id": "16302028"}, {"ref": "parthdhameliya77/curricularface-eca-nfnet-l0-pytorch-training", "kernel_id": "16670636"}, {"ref": "damtrongtuyen/shopee-siamese-sample-train", "kernel_id": "16636492"}, {"ref": "quynhngo7075/notebooke74dd1b880", "kernel_id": "16278474"}, {"ref": "vatsalmavani/eff-b4-tfidf-0-728", "kernel_id": "16100484"}, {"ref": "vatsalmavani/shopee-training-eff-b4", "kernel_id": "16100851"}, {"ref": "bestlidu/pytorch-eca-nfnet-l0-image-tfidf-inference", "kernel_id": "16390103"}, {"ref": "reddde/indonesian-distilbert-finetuning-with-arcmargin", "kernel_id": "16866802"}, {"ref": "jasonhuanghao/image-classfy-mobilenet", "kernel_id": "16167868"}, {"ref": "jasonhuanghao/transfer-learning-use-mobilenet", "kernel_id": "16506114"}, {"ref": "jasonhuanghao/classifier", "kernel_id": "16509291"}, {"ref": "jasonhuanghao/features", "kernel_id": "16484394"}, {"ref": "jasonhuanghao/undersampling", "kernel_id": "16467934"}, {"ref": "jasonhuanghao/model2-60e", "kernel_id": "16364915"}, {"ref": "jasonhuanghao/model-10e", "kernel_id": "16360684"}, {"ref": "jasonhuanghao/test1", "kernel_id": "16338224"}, {"ref": "jasonhuanghao/test-sub", "kernel_id": "16344396"}, {"ref": "jasonhuanghao/model-train", "kernel_id": "16315482"}, {"ref": "claire2021/nlp-tfidf", "kernel_id": "16127073"}, {"ref": "satyaboddu26/working-with-images", "kernel_id": "16292126"}, {"ref": "satyaboddu26/keras-for-images", "kernel_id": "16331250"}, {"ref": "satyaboddu26/final-project", "kernel_id": "16051661"}, {"ref": "satyaboddu26/project-eda", "kernel_id": "16174743"}, {"ref": "satyaboddu26/working-with-titles", "kernel_id": "16202311"}, {"ref": "satyaboddu26/working-with-phashes", "kernel_id": "16177459"}, {"ref": "satyaboddu26/working-with-images-and-text", "kernel_id": "16621096"}, {"ref": "alangoncalves/alan-projeto-redes-neurais", "kernel_id": "16051517"}, {"ref": "jinal17/cnn-sivyati", "kernel_id": "16317419"}, {"ref": "vuong02011996/unsupervised-baseline-arcface-copy-from-ragnar", "kernel_id": "16004887"}, {"ref": "wannikasonarra/shopee-product", "kernel_id": "16637110"}, {"ref": "khenryhecityu/first-test", "kernel_id": "16085107"}, {"ref": "khenryhecityu/shopee-merged-submission", "kernel_id": "16478188"}, {"ref": "windup45/notebook0f54a3b2b6", "kernel_id": "16381884"}, {"ref": "ryancdavis/vectorzing-and-comparing-titles", "kernel_id": "16380709"}, {"ref": "ruanmengzhe/test-from-junjie", "kernel_id": "16344846"}, {"ref": "ruanmengzhe/metric-learning", "kernel_id": "16446198"}, {"ref": "zhaohan4/shopee1", "kernel_id": "16120872"}, {"ref": "taaffeitegem/shopee-lite-v-7", "kernel_id": "16367314"}, {"ref": "taaffeitegem/explore-shopee", "kernel_id": "16926180"}, {"ref": "taaffeitegem/explore-shopee-orb", "kernel_id": "16994119"}, {"ref": "taaffeitegem/two-in-one", "kernel_id": "16627685"}, {"ref": "taaffeitegem/shopee-lite-v-8", "kernel_id": "16687075"}, {"ref": "taaffeitegem/fork-of-fine-tune-image-embeddings", "kernel_id": "16745864"}, {"ref": "jcpser/shoppe-text-augmenter-2", "kernel_id": "16089555"}, {"ref": "hoainamnguyen2002/aic-test-ai-shopee", "kernel_id": "16052330"}, {"ref": "watermelonwatermelon/openai-clip-with-train", "kernel_id": "16040430"}, {"ref": "akash15o3/resnet50", "kernel_id": "16333740"}, {"ref": "akash15o3/4-eca-nfnet-l0-tf-dif", "kernel_id": "16330040"}, {"ref": "atmguille/shopee-object-detection-crop-images", "kernel_id": "16641001"}, {"ref": "atmguille/shopee-object-detection-generate-data-one-hot", "kernel_id": "16108211"}, {"ref": "xulin5522/fork-of-shopee-training-cait", "kernel_id": "16589074"}, {"ref": "xulin5522/fair-cait", "kernel_id": "16575553"}, {"ref": "xulin5522/bert-features", "kernel_id": "16744579"}, {"ref": "ugurca/unsupervised-image-text-baseline-in-20m-662277", "kernel_id": "16219771"}, {"ref": "chloebryant/working-with-images-and-text-c8a84c", "kernel_id": "16660671"}, {"ref": "gsfhjjj/openai-clip-with-train", "kernel_id": "16120976"}, {"ref": "gsfhjjj/fork-of-openai-clip-with-train", "kernel_id": "16127174"}, {"ref": "yutongjudychen/eff-b4-tfidf-0-728", "kernel_id": "16744624"}, {"ref": "zoeyyyxu/torch-multidml-img-text-tfidf-suml0", "kernel_id": "16848370"}, {"ref": "szuwenjiehuang/nfnet-l0-nfnetl1-efficientnet-b5-pred-02b5aa", "kernel_id": "16856882"}, {"ref": "szuwenjiehuang/training-1-eca-nfnet-l0-image-training", "kernel_id": "16518260"}, {"ref": "szuwenjiehuang/xxhunter02-nfnet-l0-efficientnet-b5", "kernel_id": "16495404"}, {"ref": "valeriegisard/hakuna-matata", "kernel_id": "16330671"}, {"ref": "sasisurangliamsuwan/sasisurang", "kernel_id": "16624355"}, {"ref": "uppalrishabh/notebookddb17e26ae", "kernel_id": "16714121"}, {"ref": "mkurian/shopee-submission", "kernel_id": "17278186"}, {"ref": "btbpanda/parts-of-3rd-solution-with-lightautoml", "kernel_id": "17989631"}, {"ref": "tkm2261/2nd-place-solution-tkm-s-lgb-model-training", "kernel_id": "17022395"}, {"ref": "minoru/notebook9c6bf9fef9", "kernel_id": "17039595"}, {"ref": "kirichenko17roman/dl-siamese", "kernel_id": "17286614"}, {"ref": "veronikashilova/shopee-eda", "kernel_id": "17128060"}, {"ref": "huanggz1005/pcbighomework-main-hgz", "kernel_id": "17183084"}, {"ref": "huanggz1005/pcbighomework-network-hgz", "kernel_id": "17102056"}, {"ref": "huanggz1005/pcbighomework-mix-hgz", "kernel_id": "17267713"}, {"ref": "dpaul891/submission-model14-eff-bert-early-fusion", "kernel_id": "17007789"}, {"ref": "dpaul891/model5", "kernel_id": "17013283"}, {"ref": "tomsmierz/eda-project", "kernel_id": "17839504"}, {"ref": "tomsmierz/project", "kernel_id": "17839559"}, {"ref": "mfalfafa/shopee-final-solution", "kernel_id": "17768773"}, {"ref": "parkpoom/metric-learning-image-tfidf-inference-shopee", "kernel_id": "17859161"}, {"ref": "parkpoom/fine-tuning", "kernel_id": "17825395"}, {"ref": "parkpoom/reaching-0-612-with-text-only-shopee", "kernel_id": "17424280"}, {"ref": "mikhailmalykh/openai-clip-with-train", "kernel_id": "17182537"}, {"ref": "peggy1502/learning-pytorch-1", "kernel_id": "17099200"}, {"ref": "katharinapost/notebook8cb74f3cc4", "kernel_id": "17179216"}, {"ref": "phakorntt/sam-metric-learning-pipeline-only-text-sbert", "kernel_id": "17799605"}, {"ref": "napatsorntan/roberta-3", "kernel_id": "17723436"}, {"ref": "napatsorntan/distil3", "kernel_id": "17725206"}, {"ref": "napatsorntan/sam-metric-learning-pipeline-only-text-sbert", "kernel_id": "17825506"}, {"ref": "napatsorntan/reaching-0-612-with-text-only-shopee", "kernel_id": "17825798"}, {"ref": "napatsorntan/roberta-find-similar-item", "kernel_id": "17879675"}, {"ref": "reddde/mds6232-project-inference", "kernel_id": "17032615"}, {"ref": "peterulev/rapids-cuml-tfidfvectorizer-and-knn", "kernel_id": "17433105"}, {"ref": "liucong12601/timm-swin", "kernel_id": "17104029"}, {"ref": "jasonakoun/shopee-eda-3", "kernel_id": "17446286"}, {"ref": "jasonakoun/shopee-eda-2", "kernel_id": "17226876"}, {"ref": "hsiangchungteng/group-33", "kernel_id": "17552864"}, {"ref": "testicnt/sam-metric-learning-pipeline-only-text-sbert", "kernel_id": "17881951"}, {"ref": "chaitanyaboyalla/efficientnet-b3-cosine-similarity", "kernel_id": "18358615"}, {"ref": "chaitanyaboyalla/efficientnet-b5-2-cosine-similarity", "kernel_id": "18346809"}, {"ref": "chaitanyaboyalla/resnet-50-cosine-similarity", "kernel_id": "18301281"}, {"ref": "chaitanyaboyalla/efficientnet-b5-cosine-similarity", "kernel_id": "18300495"}, {"ref": "chaitanyaboyalla/bert-arcface-euclidean-threshold", "kernel_id": "18121459"}, {"ref": "chaitanyaboyalla/bert-arcface-cosine-threshold", "kernel_id": "18124033"}, {"ref": "chaitanyaboyalla/text-idf-0-55-cossim-threshold", "kernel_id": "18106774"}, {"ref": "chaitanyaboyalla/text-idf-0-6-cossim-threshold", "kernel_id": "18106999"}, {"ref": "chaitanyaboyalla/text-tfidf-0-65-cossim-threshold", "kernel_id": "18108141"}, {"ref": "chaitanyaboyalla/text-tfidf-0-55-cossim-threshold", "kernel_id": "18107936"}, {"ref": "chaitanyaboyalla/shopee-text-only-idf-bert", "kernel_id": "18397480"}, {"ref": "chaitanyaboyalla/shopee-efficientnet-b3-idf", "kernel_id": "18400477"}, {"ref": "chaitanyaboyalla/shopee-efnet-b3-idf-bert", "kernel_id": "18419570"}, {"ref": "chaitanyaboyalla/shopee-image-only-arcface-effnetb3-resnet50", "kernel_id": "18406091"}, {"ref": "chaitanyaboyalla/shopee-arcface-efnet-b3-bert", "kernel_id": "18408722"}, {"ref": "raqueldaz/shopee-eda-phash-analysis", "kernel_id": "18582207"}, {"ref": "surbhir96/pytorch-supervised-contrastive-learning", "kernel_id": "20905585"}, {"ref": "adiben/shopee-object-detection-crop-images", "kernel_id": "20869995"}, {"ref": "mingyuxu/shopee-tune-parameter", "kernel_id": "21847507"}, {"ref": "mingyuxu/shopee-inference-11-08", "kernel_id": "21836998"}, {"ref": "garakhantalibov/projectthird", "kernel_id": "21589217"}, {"ref": "jayo870810/shopee-products-matching-text-part-english", "kernel_id": "22897369"}, {"ref": "emorkrin/indonesian-distilbert-finetuning-with-arcmargin", "kernel_id": "22154045"}, {"ref": "ismp112/resnet18-0-772-v1", "kernel_id": "22909721"}, {"ref": "jinxkkk/distlbert", "kernel_id": "22157486"}, {"ref": "bogdangi/shopee-price-match-guarantee", "kernel_id": "23274852"}, {"ref": "yhx07d/v2-self-supervised-pretraining-with-swav", "kernel_id": "23749810"}, {"ref": "jayo870810/reaching-0-612-with-text-only-shopee", "kernel_id": "23402494"}, {"ref": "trnhuhuy/shoppe", "kernel_id": "23570618"}, {"ref": "garakhantalibov/submitted-notebook", "kernel_id": "23043930"}, {"ref": "peichenwucoco/shopee-text-and-photo-t2-2", "kernel_id": "23368000"}, {"ref": "chien1214/data-mining-project-t2-7-shopee", "kernel_id": "23422512"}, {"ref": "mnhnguyntun/shopee-product-matching", "kernel_id": "23640062"}, {"ref": "natwucheng/data-mining-project-t2-1-shopee", "kernel_id": "23452212"}, {"ref": "thanhbong/shopeetextmodel", "kernel_id": "23689105"}, {"ref": "hiusdeang/effnetb0-knn", "kernel_id": "23588941"}, {"ref": "wangzichao2018/2nd-place-solution", "kernel_id": "24697345"}, {"ref": "shritech1404/similarity-matches-using-word2vec", "kernel_id": "24534710"}, {"ref": "chiragtagadiya/shopee-basic-autoencoder", "kernel_id": "24907089"}, {"ref": "paulmcbrien/modelnotebook", "kernel_id": "25620788"}, {"ref": "chiragtagadiya/shopee-label-group-classification-training", "kernel_id": "25106273"}, {"ref": "linchengji/part-2-rapids-tfidfvectorizer-cv-0-700", "kernel_id": "25939610"}, {"ref": "morizin/swin-nfnet-bert", "kernel_id": "26459793"}, {"ref": "jinnapatyana/internnlp", "kernel_id": "26207451"}, {"ref": "jinnapatyana/roberta2", "kernel_id": "26654872"}, {"ref": "jinnapatyana/finalshopee", "kernel_id": "26689806"}, {"ref": "mingyuxu/mds6224-project", "kernel_id": "26884653"}, {"ref": "chickensqrt64/shopeenb002", "kernel_id": "26397207"}, {"ref": "chickensqrt64/notebookshopee001", "kernel_id": "26042600"}, {"ref": "mohamedaminesaighi/siamese-style-training-using-efficient-net-b0", "kernel_id": "26239971"}, {"ref": "chiragtagadiya/arcface-inference-submission", "kernel_id": "26275507"}, {"ref": "chiragtagadiya/arcface-testing-random-similar-internet-image", "kernel_id": "26323563"}, {"ref": "chiragtagadiya/arcface-embedding-visualization", "kernel_id": "26319578"}, {"ref": "xiaodongwang220/unsupervised-baseline-arcface", "kernel_id": "26077827"}, {"ref": "wuyunjia/test-pretrain-image-model", "kernel_id": "27137367"}, {"ref": "ahmeddorra/efficientnet-b5-weights", "kernel_id": "27317297"}, {"ref": "ahmeddorra/efficientnet-b4-weights", "kernel_id": "27473081"}, {"ref": "ahmeddorra/final", "kernel_id": "27606706"}, {"ref": "ahmeddorra/notebookc1086939b4", "kernel_id": "27656713"}, {"ref": "alekseykorshuk/shopee-final-solution", "kernel_id": "28306168"}, {"ref": "alekseykorshuk/shopee-v03", "kernel_id": "28299936"}, {"ref": "dschettler8845/tf-guie-train-from-scratch-part-1", "kernel_id": "29105530"}, {"ref": "krishnapatel23/shopee-final", "kernel_id": "29560245"}, {"ref": "darkbunny/2nd-place-solution", "kernel_id": "29148242"}, {"ref": "kanishkpareek/duplicateimagefinder", "kernel_id": "29993428"}, {"ref": "negaraghabeygi/text-kmeans-full", "kernel_id": "29518545"}, {"ref": "kanupriyavinayak/shopee-final", "kernel_id": "29514847"}, {"ref": "mantoucloud/resnet18-0-772-public-lb", "kernel_id": "30795941"}, {"ref": "mantoucloud/final-solution", "kernel_id": "30765843"}, {"ref": "kalelpark/arcface-explained-for-korean", "kernel_id": "30467924"}, {"ref": "manatoyaguchi/shopee-image", "kernel_id": "31383347"}, {"ref": "alicejimmy/hw2-test3", "kernel_id": "31826816"}, {"ref": "alicejimmy/eecs-hw2", "kernel_id": "31999918"}, {"ref": "lalalalex/simple-siameses-model-of-cnn-local-accuracy-0-66", "kernel_id": "31657977"}, {"ref": "lalalalex/shopee-phash", "kernel_id": "31686613"}, {"ref": "mantoucloud/fork-of-resnet18-0-772-public-lb", "kernel_id": "31639202"}, {"ref": "wycwxj666/resnet18-0-772-v1", "kernel_id": "31655428"}, {"ref": "wycwxj666/my-shopee-all-process", "kernel_id": "31815067"}, {"ref": "kangchenkkkk/unsupervised-shoppee-baseline", "kernel_id": "31852155"}, {"ref": "johnny65423/team-johnny-derrick-ncu", "kernel_id": "32919554"}, {"ref": "laihaowei/notebook8f73f4c2b9", "kernel_id": "32601465"}, {"ref": "vincentyip532/shoppee-solution", "kernel_id": "32276348"}, {"ref": "peichiliao/littleteamname-hw2", "kernel_id": "32941917"}, {"ref": "ilhamjamaluddin/part2-khamal-hw2-dl", "kernel_id": "32658348"}, {"ref": "hal468a/notebookcc7c97562a", "kernel_id": "32785484"}, {"ref": "billy108502541/siamese-style-training", "kernel_id": "32729911"}, {"ref": "wycwxj666/effientnet-b1-and-resnet50", "kernel_id": "32122300"}, {"ref": "wycwxj666/resnet50-pretrained-my-shopee-all-process", "kernel_id": "32161587"}, {"ref": "wycwxj666/resnet18", "kernel_id": "32217276"}, {"ref": "wycwxj666/efnetv2-ori-my-shopee-all-process", "kernel_id": "32431767"}, {"ref": "wycwxj666/resnet50-ori-my-shopee-all-process", "kernel_id": "32431596"}, {"ref": "wycwxj666/resnets", "kernel_id": "32523620"}, {"ref": "wycwxj666/effientnet", "kernel_id": "32326232"}, {"ref": "wycwxj666/fork-of-effientnet", "kernel_id": "32375193"}, {"ref": "gavinchen123/dl-02", "kernel_id": "32886215"}, {"ref": "dickhanselryan/group-z", "kernel_id": "32839159"}, {"ref": "ashutoshsingh94/shopee-product-matching", "kernel_id": "32027801"}, {"ref": "chenkangtien/ncu-alice", "kernel_id": "32829679"}, {"ref": "kmutnbputtipong/shopee-ml-final-real", "kernel_id": "32660813"}, {"ref": "wuxx123/effientnet", "kernel_id": "32220977"}, {"ref": "wuxx123/resnets", "kernel_id": "32227912"}, {"ref": "ywyiii123/fork-of-effientnet", "kernel_id": "32391196"}, {"ref": "jprusso/shopeeimage-embedding-training-pipeline", "kernel_id": "33906248"}, {"ref": "sumanthegde/shopee-text-image-ocr-solution", "kernel_id": "33518218"}, {"ref": "zxw717/2nd-place-solution-d0f18f", "kernel_id": "33252301"}, {"ref": "nehatyagi261/notebook22e777182b", "kernel_id": "33476483"}, {"ref": "uom180313l/pytorch-supervised-contrastive-learning", "kernel_id": "33167120"}, {"ref": "diyang/shopee-product-test", "kernel_id": "34576977"}, {"ref": "artyomkolas/vectors-comparasion-cv-nlp", "kernel_id": "36838779"}, {"ref": "nickrusanov/shopee-knn-tfidf", "kernel_id": "36481239"}, {"ref": "brianna1307/model-building-and-training", "kernel_id": "36509745"}, {"ref": "brianna1307/eda-part1", "kernel_id": "36761929"}, {"ref": "yangtunanh/shopee-product-matching", "kernel_id": "36913140"}, {"ref": "marshallcao/tf-guie-train-from-scratch-part-1", "kernel_id": "37439136"}, {"ref": "nickrusanov/shopee-submission", "kernel_id": "37260577"}, {"ref": "nickrusanov/effnet-embeddings", "kernel_id": "37581851"}, {"ref": "nickrusanov/effnetb4-training", "kernel_id": "37364757"}, {"ref": "alisabunny/multimodel", "kernel_id": "37306697"}, {"ref": "brianna1307/notebook27c15c78f3", "kernel_id": "37979644"}, {"ref": "thomasulseth/shopee-price-match-adventure", "kernel_id": "37465192"}, {"ref": "thomasulseth/shopee-price-match-adventure-part-3", "kernel_id": "37540788"}, {"ref": "thomasulseth/shopee-price-match-adventure-part-2", "kernel_id": "37498825"}, {"ref": "nickrusanov/resnet18-embeddings", "kernel_id": "38172586"}, {"ref": "nickrusanov/shopee-image-text", "kernel_id": "38172844"}, {"ref": "nickrusanov/resnet18-training", "kernel_id": "38170930"}, {"ref": "brianna1307/eda-part2", "kernel_id": "38734791"}, {"ref": "brianna1307/model-training", "kernel_id": "39226067"}, {"ref": "brianna1307/part2-eda", "kernel_id": "39225935"}, {"ref": "brianna1307/part1-eda", "kernel_id": "39224403"}, {"ref": "maksymyevchuk/senti", "kernel_id": "40000354"}, {"ref": "dnth90/duplicates-image-search-mislabels-clusters", "kernel_id": "41734542"}, {"ref": "dngnguynmnh2002/shopee-product-retnet50d", "kernel_id": "41251527"}, {"ref": "dnth90/vit-gpt2-image-search-with-text-query", "kernel_id": "42411835"}, {"ref": "trnhip/gat-lightgbm-tlu-state", "kernel_id": "42287854"}, {"ref": "justcyl/shopee-oof-nfnet-arcface", "kernel_id": "44199577"}, {"ref": "justcyl/baseline-with-chinese-explained", "kernel_id": "44039124"}, {"ref": "leclerc16/baseline-with-chinese-explained-ec3208", "kernel_id": "44078382"}, {"ref": "dadadaxu/eda-title-label-group-image", "kernel_id": "44076798"}, {"ref": "vergilll/shopee1022", "kernel_id": "44946905"}, {"ref": "pairavithanancheyan/fork-of-notebookafde04d9a9", "kernel_id": "45130410"}, {"ref": "justcyl/shopee2", "kernel_id": "45675628"}, {"ref": "leclerc16/notebook9c2ae91197", "kernel_id": "45587292"}, {"ref": "badneyli/bert-base-indonesian-1-5g-epoch8-bs16x1", "kernel_id": "45624078"}, {"ref": "dadadaxu/shopee-oof-nfnet-arcface-title-measuring-unit", "kernel_id": "45455708"}, {"ref": "v2rgil/shopee-nfnet-sbert-min2-inb", "kernel_id": "45043013"}, {"ref": "lujiangyang/shopee2", "kernel_id": "47619603"}, {"ref": "lujiangyang/final-solution", "kernel_id": "47631438"}, {"ref": "bayern2jz/shopee2", "kernel_id": "49924593"}, {"ref": "bayern2jz/clip-fine-tune-final-submit", "kernel_id": "50188834"}, {"ref": "sanjtheranj/shopee-cleanlab-analysis", "kernel_id": "53314114"}, {"ref": "talmeezfuaad/shopee2", "kernel_id": "53311987"}, {"ref": "chandrahasm/final-solution", "kernel_id": "54999208"}, {"ref": "kushv16/one-hot-encoding-shopee", "kernel_id": "55172232"}, {"ref": "kushv16/shopee-densenetinference", "kernel_id": "55476315"}, {"ref": "lornet/metric-l-research-400", "kernel_id": "55404706"}, {"ref": "kushvorakjsce/586-shopee-densenet-triplet-loss", "kernel_id": "55413541"}, {"ref": "kushvorakjsce/586-shopee-effnetb0-triplet-loss", "kernel_id": "55389312"}, {"ref": "adarshsingh1234/586-shopee-inference-testing", "kernel_id": "55500466"}, {"ref": "usb1508/shopee-siamese-resnet-50-image-only-submission", "kernel_id": "55184237"}, {"ref": "nhsamng/efficientnet-b3", "kernel_id": "55797344"}, {"ref": "nhsamng/ns-300424-shopee-tf-records-512", "kernel_id": "55848424"}, {"ref": "agusmistiawan/charbert", "kernel_id": "56781067"}, {"ref": "nhsamng/tf-idf-rapids-arc-margin-shopee-08e617", "kernel_id": "56685277"}, {"ref": "nhungsamng/rapids-cuml-tfidfvectorizer-and-knn", "kernel_id": "57085186"}, {"ref": "alexeykoz/matching", "kernel_id": "65143866"}, {"ref": "sunghoshim/shopee-arcface-train-validation", "kernel_id": "65670033"}, {"ref": "sunghoshim/shopee-eda", "kernel_id": "65469830"}, {"ref": "amrabano/notebookd5cf50f19c", "kernel_id": "67146775"}, {"ref": "williamhilmy/product-matching-hadzami", "kernel_id": "76735183"}, {"ref": "songhiengvan/visual-search", "kernel_id": "80076176"}, {"ref": "aniarya/shopee-inference-notebook", "kernel_id": "84290011"}, {"ref": "anirban21100/shopee-training-text-diff-lr", "kernel_id": "84945084"}, {"ref": "anirban21100/shopee-training-text-same-lr", "kernel_id": "84685728"}, {"ref": "nocallebort5/notebook17bfa7303b", "kernel_id": "84215503"}, {"ref": "nocallebort5/notebook-shopee-text-model-diff-lr", "kernel_id": "84974731"}, {"ref": "nocallebort5/shopee-training-image-diff-lr", "kernel_id": "84952609"}, {"ref": "aniarya/notebook-nfnet-f0-f1-diff-lr", "kernel_id": "85039658"}, {"ref": "aniarya/data-dist-df", "kernel_id": "87999068"}, {"ref": "nocallebort5/stage-2-models-shopee", "kernel_id": "87130269"}, {"ref": "dmitryvolovikov/shopee-price-match-guarantee-training", "kernel_id": "91841916"}, {"ref": "yarome/2nd-place-solution", "kernel_id": "92394917"}, {"ref": "dmitryvolovikov/shopee-price-match-guarantee-inference", "kernel_id": "92286612"}, {"ref": "blackfire112358/baseline", "kernel_id": "92441110"}, {"ref": "andrewchist/shopee-s-mom", "kernel_id": "92436924"}, {"ref": "arutyunoff/notebook2b3fa752c5", "kernel_id": "92437684"}, {"ref": "natakas/2nd-place-solution-5107e2", "kernel_id": "92443263"}, {"ref": "alyalokhmatova/soreva-tovari", "kernel_id": "92436373"}, {"ref": "dmitryvolovikov/fork-of-shopee", "kernel_id": "93350347"}, {"ref": "yipyiphooray/shopee-price-matching", "kernel_id": "95820558"}, {"ref": "sherlocked999/shopee-data-eda", "kernel_id": "95898564"}, {"ref": "sherlocked999/image-model-testing", "kernel_id": "96544521"}, {"ref": "sherlocked999/unsupervised-text-encoder-only-inference", "kernel_id": "98817378"}, {"ref": "sherlocked999/generate-word-embedding-dataset-indo-bert", "kernel_id": "98810047"}, {"ref": "minghanqing/text-embedding-unsupervised", "kernel_id": "99306580"}, {"ref": "sherlocked999/supervised-image-encoder-inference-classifier", "kernel_id": "99565423"}, {"ref": "ezazel/testnospam", "kernel_id": "114208027"}, {"ref": "divyasawroopjaiswal/clip-model-dataset-2", "kernel_id": "116652351"}, {"ref": "owarisekai/nh-n-d-ng", "kernel_id": "121686133"}, {"ref": "wanerzhou/shopee-price-match-guarantee", "kernel_id": "121288417"}, {"ref": "erospinzani/lsh-project", "kernel_id": "121982947"}, {"ref": "olamiposia/movie-theater", "kernel_id": "121351260"}, {"ref": "mdabdulalhasib/mdeberta-convnext-vs-clip-vision-model", "kernel_id": "128475890"}, {"ref": "iesusdavila/shopee", "kernel_id": "134419118"}, {"ref": "hussienbrakat/dl-project", "kernel_id": "134535627"}]}
{"competition_id": "24293", "kernels": []}
{"competition_id": "24296", "kernels": [{"ref": "yihsuankao/exploratory-data-analysis", "kernel_id": "13055050"}, {"ref": "estellekao/gs-3073-ai-course-submission", "kernel_id": "13803408"}]}
{"competition_id": "24298", "kernels": [{"ref": "tojoh15/notebook2669ca0616", "kernel_id": "13019161"}]}
{"competition_id": "24301", "kernels": []}
{"competition_id": "24307", "kernels": []}
{"competition_id": "24309", "kernels": []}
{"competition_id": "24310", "kernels": []}
{"competition_id": "24311", "kernels": []}
{"competition_id": "24313", "kernels": []}
{"competition_id": "24323", "kernels": [{"ref": "supunnirmal/codenza", "kernel_id": "13087391"}]}
{"competition_id": "24325", "kernels": []}
{"competition_id": "24327", "kernels": [{"ref": "elyaishere/notebookd5fa544b88", "kernel_id": "13629875"}, {"ref": "scrinium/notebook275d980778", "kernel_id": "13632533"}, {"ref": "maksimus3/ivanov-bd11-kaggle", "kernel_id": "13530423"}, {"ref": "egorsmi/notebookb8d3a755f3", "kernel_id": "13624575"}, {"ref": "bangod/krapivin", "kernel_id": "13608778"}, {"ref": "loggerhead22/satellite-predict", "kernel_id": "13519782"}, {"ref": "catherinechekhonina/sputnik-2020-fish", "kernel_id": "13611391"}, {"ref": "vladimirjul/djuliyva", "kernel_id": "13470474"}, {"ref": "sashapetrov/petrov", "kernel_id": "13278874"}, {"ref": "plevokasyanis/expsmoothing", "kernel_id": "13625366"}, {"ref": "borisovalexey/notebookf63af20cfd", "kernel_id": "13424425"}, {"ref": "bulatral42/timeseries", "kernel_id": "13535834"}, {"ref": "pipmos/notebook68f929156d", "kernel_id": "13449843"}, {"ref": "artemygolikov/notebook946204f186", "kernel_id": "13390956"}, {"ref": "glebyushkov/yushkov-sphere-troll", "kernel_id": "13635758"}, {"ref": "alekseykorneev/aleksey-korneev-satellite", "kernel_id": "13635967"}, {"ref": "syromyatnikova/notebook83c1cedd08", "kernel_id": "13606187"}, {"ref": "andreykon/notebookf917b20bf7", "kernel_id": "13634248"}]}
{"competition_id": "24334", "kernels": []}
{"competition_id": "24348", "kernels": []}
{"competition_id": "24356", "kernels": []}
{"competition_id": "24373", "kernels": []}
{"competition_id": "24377", "kernels": [{"ref": "daniil915/notebooka10920098a", "kernel_id": "13090594"}]}
{"competition_id": "24380", "kernels": [{"ref": "dnap512/kaggle-sample", "kernel_id": "13418318"}]}
{"competition_id": "24392", "kernels": []}
{"competition_id": "24397", "kernels": []}
{"competition_id": "24410", "kernels": [{"ref": "andriihrabovyi/notebook58c50e3e19", "kernel_id": "13118808"}]}
{"competition_id": "24420", "kernels": []}
{"competition_id": "24421", "kernels": []}
{"competition_id": "24429", "kernels": []}
{"competition_id": "24439", "kernels": []}
{"competition_id": "24445", "kernels": []}
{"competition_id": "24453", "kernels": []}
{"competition_id": "24455", "kernels": []}
{"competition_id": "24462", "kernels": []}
{"competition_id": "24463", "kernels": []}
{"competition_id": "24464", "kernels": []}
{"competition_id": "24469", "kernels": []}
{"competition_id": "24475", "kernels": []}
{"competition_id": "24482", "kernels": []}
{"competition_id": "24492", "kernels": []}
{"competition_id": "24494", "kernels": []}
{"competition_id": "24500", "kernels": []}
{"competition_id": "24512", "kernels": [{"ref": "tojoh15/notebook33cd48467b", "kernel_id": "13245457"}]}
{"competition_id": "24514", "kernels": []}
{"competition_id": "24517", "kernels": []}
{"competition_id": "24521", "kernels": []}
{"competition_id": "24531", "kernels": []}
{"competition_id": "24532", "kernels": []}
{"competition_id": "24534", "kernels": [{"ref": "nathalyst/taller-2-ml", "kernel_id": "13563403"}]}
{"competition_id": "24535", "kernels": [{"ref": "ssegui/notebookd7b92c2d74", "kernel_id": "13268008"}, {"ref": "paubernabe/paubernabe-p5-nn", "kernel_id": "13625522"}, {"ref": "marcosplaza/proyecto5-marcosplazagonzalez", "kernel_id": "13827890"}, {"ref": "arnaurovira/task-5-learning-to-count-arnau-rovira-avaluar", "kernel_id": "13967929"}, {"ref": "johnnync13/project-5-johnny", "kernel_id": "13307293"}, {"ref": "ikerhonorato/iker-honorato-learning-to-count", "kernel_id": "13813236"}, {"ref": "elenamora/p5-elenamora", "kernel_id": "13856653"}, {"ref": "juditramosol/p5-juditramo", "kernel_id": "13757771"}, {"ref": "xaviervalblasi/notebook-task-5", "kernel_id": "13815045"}, {"ref": "carlamontserrat/project5-carlamontserrat", "kernel_id": "14238330"}, {"ref": "psafonga7/polsafont-learningtocount", "kernel_id": "14045764"}, {"ref": "ojimenmu/project5-scar-jim-nez", "kernel_id": "14067455"}, {"ref": "oriolob/cnn-submission", "kernel_id": "14196697"}, {"ref": "franchito55/franciscobarrio-p5", "kernel_id": "14038115"}, {"ref": "aaronperuga/aar-nperuga-aa-proyecto5", "kernel_id": "14204675"}, {"ref": "joaquimyuste/yusteramosjoaquim-output2", "kernel_id": "14151424"}, {"ref": "yusepp/p5-jose-manuel-l-pez", "kernel_id": "14198007"}, {"ref": "bernatosoriogomez1/notebook5-bernatosoriogomez", "kernel_id": "14210544"}, {"ref": "oscarfdezbatalla/oscarfernandez-learningtocount", "kernel_id": "14196675"}, {"ref": "miguelmp/learning-to-count", "kernel_id": "14124041"}]}
{"competition_id": "24539", "kernels": [{"ref": "nigelcarpenter/parallel-processing-agent-trials-using-ray", "kernel_id": "13545114"}, {"ref": "n3n77i/r-minimal", "kernel_id": "13458272"}, {"ref": "skanderbenmansour/not-so-secret-sauce-for-candy-cane-contest-agent", "kernel_id": "13816573"}, {"ref": "pedram/my-best-agent-in-the-lb", "kernel_id": "13730974"}, {"ref": "lebroschar/sampled-a-posteriori-agent", "kernel_id": "13493513"}, {"ref": "lebroschar/generate-training-data", "kernel_id": "13769090"}, {"ref": "lebroschar/1000-greedy-decision-tree-model", "kernel_id": "13781475"}, {"ref": "jamesmcguigan/cany-cane-julia", "kernel_id": "13448408"}, {"ref": "jamesmcguigan/rock-paper-candy-copy-opponent-move", "kernel_id": "13471074"}, {"ref": "jamesmcguigan/rock-paper-candy-copy-opponent-move-unless-win", "kernel_id": "13476166"}, {"ref": "jamesmcguigan/candy-cane-multi-armed-bandit", "kernel_id": "13435257"}, {"ref": "jamesmcguigan/santa-2020-agents-comparison", "kernel_id": "13426260"}, {"ref": "jamesmcguigan/candy-cane-optimized-ucb", "kernel_id": "13406580"}, {"ref": "jamesmcguigan/candy-cane-random-agent", "kernel_id": "13405345"}, {"ref": "fernandoramacciotti/rotting-bandits-fewa-algorithm", "kernel_id": "13607724"}, {"ref": "fernandoramacciotti/starters-epsilon-greedy-ucb-and-gradient-bandit", "kernel_id": "13513454"}, {"ref": "something4kag/santa-2020-viz", "kernel_id": "13398152"}, {"ref": "jumabek/plot-comparison-ucb-vs-bayesian-isaienkov-s-code", "kernel_id": "13415378"}, {"ref": "safavieh/santa2020-maximum-likelihood-estimation-agent", "kernel_id": "13422793"}, {"ref": "sirishks/pull-vegas-slot-machines", "kernel_id": "13496251"}, {"ref": "somnambwl/santa-2020", "kernel_id": "13410692"}, {"ref": "a763337092/pull-vegas-slot-machines-add-weaken-rate-continue5", "kernel_id": "13893824"}, {"ref": "isaienkov/santa-2020-starter", "kernel_id": "13392309"}, {"ref": "ranbato/keep-playing-when-winning", "kernel_id": "13413744"}, {"ref": "xincuimath/weighted-expected-mean-and-std-estimation", "kernel_id": "13518878"}, {"ref": "iehnrtnc/santa2020", "kernel_id": "13462507"}, {"ref": "authman/animate-my-santa", "kernel_id": "13508384"}, {"ref": "ilialar/simple-multi-armed-bandit", "kernel_id": "13404184"}, {"ref": "lpkirwin/santa-2020-replay-visualizer", "kernel_id": "13604424"}, {"ref": "marlesson/what-is-multi-armed-bandits", "kernel_id": "13412473"}, {"ref": "dan3dewey/more-candy-santa-2020", "kernel_id": "13497407"}, {"ref": "thanhtinqn97/bandit-softmax-ucb", "kernel_id": "13413797"}, {"ref": "mrgeislinger/visualizing-reward-outcomes", "kernel_id": "13429862"}, {"ref": "mrgeislinger/santa2020-epsilon-greedy-solution", "kernel_id": "13413466"}, {"ref": "mrgeislinger/monkey-see-monkey-do-copy-opponent-strategy", "kernel_id": "13474135"}, {"ref": "steveroberts/an-introduction-to-multi-armed-bandits", "kernel_id": "13432534"}, {"ref": "tyqiangz/plain-bayesian-ucb-is-not-enough", "kernel_id": "13604005"}, {"ref": "masatomatsui/santa-episode-scraper", "kernel_id": "13618888"}, {"ref": "slawekbiel/helper-class-historycollectingagent", "kernel_id": "13428092"}, {"ref": "yegorbiryukov/kaptin-bluddflagg-vs-santa-2020", "kernel_id": "13429499"}, {"ref": "nagiss/santa2020-leaderboard-analysis", "kernel_id": "13540578"}, {"ref": "xhlulu/santa-2020-epsilon-greedy-starter", "kernel_id": "13393944"}, {"ref": "xhlulu/santa-2020-ucb-and-bayesian-ucb-starter", "kernel_id": "13393414"}, {"ref": "xhlulu/santa-2020-thompson-sampling", "kernel_id": "13437821"}, {"ref": "jazivxt/breakroom", "kernel_id": "13393936"}, {"ref": "subinium/merry-christmas", "kernel_id": "13772432"}, {"ref": "ahmedewida/santa-2020-agent3-best", "kernel_id": "13458611"}, {"ref": "naokimaeda/local-evaluation", "kernel_id": "13401025"}, {"ref": "salmanhiro/get-started-to-rl-epsilon-w-decaying-decay", "kernel_id": "13414548"}, {"ref": "iwatatakuya/santa-2020-viz-of-initial-threshold", "kernel_id": "13499601"}, {"ref": "iwatatakuya/how-to-submit-greedy-decision-tree-model", "kernel_id": "13900631"}, {"ref": "marioeid/santa-2020-competition", "kernel_id": "13486716"}, {"ref": "hansungdev/santa-2020-beginner-w-a-simple-bandit", "kernel_id": "13906028"}, {"ref": "vdebout/santa2020-global-and-boundary-analysis", "kernel_id": "13543026"}, {"ref": "markjenei/decay-more-information-less-performance", "kernel_id": "13600376"}, {"ref": "aatiffraz/a-beginner-s-approach-to-performance-analysis", "kernel_id": "13595614"}, {"ref": "utkarshxy/secret-santa-with-python-merry-christmas", "kernel_id": "13787444"}, {"ref": "basilcm/santa-2020", "kernel_id": "13493722"}, {"ref": "pg1007/winning-game", "kernel_id": "13427899"}, {"ref": "bitcrunch/feature-engineering-predicitons-ongoing", "kernel_id": "13500479"}, {"ref": "rajindermavi/santa2020-mab-algorithm-comparison", "kernel_id": "13490970"}, {"ref": "vedurumudipriyanka/santa-2020", "kernel_id": "13417144"}, {"ref": "paulrohan2020/basic-n-armed-bandit", "kernel_id": "13471251"}, {"ref": "penchalaiah123/happy-christmas", "kernel_id": "13809195"}, {"ref": "saztorralba/santa2020-probabilityestimation", "kernel_id": "13425404"}, {"ref": "karinafarhad/santa-s-contest-elf-vs-vending-machines", "kernel_id": "13465610"}, {"ref": "hkpaul2020/simple-multi-armed-bandit", "kernel_id": "13422689"}, {"ref": "arunppsg/thompson-sampling-for-mab", "kernel_id": "13501489"}, {"ref": "arunppsg/decaying-e-greedy", "kernel_id": "13499775"}, {"ref": "dott1718/santa20-lb-score-dynamics", "kernel_id": "14575860"}, {"ref": "mikeheald/modified-ucb-with-neural-net-estimating-q", "kernel_id": "14898981"}, {"ref": "ddrbcn/drl-mab", "kernel_id": "14190967"}, {"ref": "jyesawtellrickson/performance-visualisation", "kernel_id": "14559308"}, {"ref": "jyesawtellrickson/pvsmawrc-commented-explained", "kernel_id": "14094174"}, {"ref": "jastan/bayesian-ucb-on-steroids", "kernel_id": "14631419"}, {"ref": "somnambwl/generalization-of-the-law-of-large-numbers", "kernel_id": "14576532"}, {"ref": "somnambwl/posteriordistribution", "kernel_id": "14730619"}, {"ref": "mlconsult/regressor-bot", "kernel_id": "14312665"}, {"ref": "mlconsult/fork-test-bot-submission-1205", "kernel_id": "14651238"}, {"ref": "booooooow/santa-2020-leaderboard-race-animation", "kernel_id": "14674961"}, {"ref": "kibuna/santa2020-lightgbm-quantile-agent", "kernel_id": "14625660"}, {"ref": "robga/simulations-episode-scraper-match-downloader", "kernel_id": "14611507"}, {"ref": "nagiss/santa2020-stable-rating-estimation-leaderboards", "kernel_id": "14845363"}, {"ref": "nagiss/imaginary-rudolph-prize-solution", "kernel_id": "14597232"}, {"ref": "felipefonte99/ensemble-pull-vegas-decision-tree-model", "kernel_id": "14165726"}, {"ref": "iiyamaiiyama/santa2020-17th-place-lb1355", "kernel_id": "14623750"}, {"ref": "profilecore28/start-from-regressorbot", "kernel_id": "14360887"}, {"ref": "aatiffraz/predicting-thresholds-by-emulating-bandits", "kernel_id": "14268770"}, {"ref": "avinashyadav11/secret-santa-with-python-merry-christmas", "kernel_id": "14021408"}, {"ref": "johnmacgillivray/heuristic-scoring-bot", "kernel_id": "14656364"}, {"ref": "shivammittal274/santa-scrapping-top-episodes-to-ml-modelling", "kernel_id": "14388058"}, {"ref": "demche/rps-and-santa-2020-ranking-stability-eda", "kernel_id": "14628430"}, {"ref": "demche/santa-2020-who-s-lucky-eda", "kernel_id": "14525367"}, {"ref": "jjj8989/greedy", "kernel_id": "14083768"}, {"ref": "petermichel/santa-2020-who-s-lucky-eda", "kernel_id": "14762997"}, {"ref": "jtrotman/santa-2020-animated-shake-up-plot", "kernel_id": "15104758"}, {"ref": "wht1996/5th-place-solution-transformer-explore", "kernel_id": "15109330"}, {"ref": "kmldas/hungry-geese-leaderboard-analysis", "kernel_id": "15829856"}, {"ref": "kmldas/indoor-location-lb-analysis", "kernel_id": "16002566"}, {"ref": "jtrotman/jane-st-animated-shake-up-plot", "kernel_id": "19911320"}, {"ref": "dott1718/kdp-workshop", "kernel_id": "32009525"}, {"ref": "vinitkp/multi-armed-bandit", "kernel_id": "48102566"}]}
{"competition_id": "24540", "kernels": []}
{"competition_id": "24541", "kernels": []}
{"competition_id": "24549", "kernels": []}
{"competition_id": "24551", "kernels": []}
{"competition_id": "24557", "kernels": []}
{"competition_id": "24563", "kernels": []}
{"competition_id": "24567", "kernels": []}
{"competition_id": "24568", "kernels": []}
{"competition_id": "24581", "kernels": []}
{"competition_id": "24607", "kernels": [{"ref": "derekcorcoran/exploraci-n-de-datos-covid", "kernel_id": "13382276"}]}
{"competition_id": "24617", "kernels": [{"ref": "igorkf/data-train-1-lugar-public", "kernel_id": "13371109"}]}
{"competition_id": "24621", "kernels": [{"ref": "dyakonov/iml2020-simple-benchmark", "kernel_id": "13359932"}, {"ref": "klyushnik/baseline-bank-work", "kernel_id": "91727329"}]}
{"competition_id": "24626", "kernels": []}
{"competition_id": "24635", "kernels": []}
{"competition_id": "24636", "kernels": []}
{"competition_id": "24637", "kernels": []}
{"competition_id": "24638", "kernels": []}
{"competition_id": "24642", "kernels": []}
{"competition_id": "24649", "kernels": []}
{"competition_id": "24652", "kernels": [{"ref": "nickel/benchmark-2", "kernel_id": "13639303"}, {"ref": "nickel/benchmark-1", "kernel_id": "13419616"}, {"ref": "fernandorodriguezu/datathon-interbank-2020", "kernel_id": "13880609"}, {"ref": "nickel/benchmark-3-workshop", "kernel_id": "14215919"}, {"ref": "ggxgboostgg/01-interbank20-squeme-1", "kernel_id": "14702522"}, {"ref": "bonfigliotomas/benchmark-3-workshop", "kernel_id": "14548884"}, {"ref": "fotrino/benchmark-interbank", "kernel_id": "14043723"}, {"ref": "fotrino/pre-procesamiento-interbank", "kernel_id": "14185776"}, {"ref": "elnegroclaudio/notebook52dbdd45eb", "kernel_id": "14675009"}, {"ref": "pablodingianna/notebooka9c365ac3e", "kernel_id": "14395368"}, {"ref": "kisiro55/10-preprocessing", "kernel_id": "15147445"}]}
{"competition_id": "24655", "kernels": []}
{"competition_id": "24665", "kernels": []}
{"competition_id": "24671", "kernels": [{"ref": "ssegui/notebook18dba2e965", "kernel_id": "13428909"}, {"ref": "francescvivpascual/melbourne-house-price-prediction-linear-approach", "kernel_id": "14423581"}, {"ref": "adrirossellfernandez/notebook76218e047d", "kernel_id": "14353526"}]}
{"competition_id": "24673", "kernels": [{"ref": "mathurinache/tps-jan-2021-xgb-baseline", "kernel_id": "13961531"}, {"ref": "mathurinache/gbdts-baseline-prevision-io-for-free", "kernel_id": "13979629"}, {"ref": "inversion/get-started-jan-tabular-playground-competition", "kernel_id": "13929150"}, {"ref": "dwin183287/tps-jan-2021-eda-models", "kernel_id": "13991623"}, {"ref": "siero5335/eda-gbdts-xgboost-catboost-and-lightgbm-in-r", "kernel_id": "13955714"}, {"ref": "jth359/deep-dive-into-ml-interpretability-part-i", "kernel_id": "13969369"}, {"ref": "jth359/deep-dive-into-ml-interpretability-part-ii", "kernel_id": "13990124"}, {"ref": "ttahara/tps-jan-2021-gbdts-baseline", "kernel_id": "13950448"}, {"ref": "nicapotato/keras-nn-tabular-regression-problem", "kernel_id": "13966573"}, {"ref": "chandraroy/randonforest-baseline-model", "kernel_id": "13953969"}, {"ref": "chandraroy/xgb-baseline-model", "kernel_id": "13956292"}, {"ref": "bowaka/tps21-optuna-lgb-fast-hyper-parameter-tunning", "kernel_id": "13991234"}, {"ref": "niteshhalai/tabular-playground-series-jan-2021", "kernel_id": "13956250"}, {"ref": "docxian/tabular-playground-1-visual-eda-tabnet", "kernel_id": "13966833"}, {"ref": "hamditarek/tabular-playground-series-xgboost-lightgbm", "kernel_id": "13985294"}, {"ref": "vikki95/starter-notebook-tabular-jan-2021", "kernel_id": "13952378"}, {"ref": "slm37102/tabular-using-neural-network-fastai-starter", "kernel_id": "13960992"}, {"ref": "pierresylvain/tabular-playground-2021-lgbm-xgboost", "kernel_id": "13986132"}, {"ref": "ssarkar445/playground-jan-2021-eda-stacked", "kernel_id": "13962774"}, {"ref": "chizuchizu/vaex-instead-of-pandas", "kernel_id": "13978872"}, {"ref": "imeintanis/tps-jan21-nn-starter-keras-tuner-ensemble", "kernel_id": "13978279"}, {"ref": "gunesevitan/tabular-playground-series-jan-2021-models", "kernel_id": "13952385"}, {"ref": "mrinath/simple-and-fast-eda", "kernel_id": "13964479"}, {"ref": "jitaiyi/tabular-playground-series-with-xgboost", "kernel_id": "13955599"}, {"ref": "drcapa/playground-series-jan-2021-xgb-tutorial", "kernel_id": "13955851"}, {"ref": "tatakkun/tabular-playground-jan-2021", "kernel_id": "13974600"}, {"ref": "aryandec25/playground-tabular-jan-21", "kernel_id": "13967968"}, {"ref": "hamzaghanmi/tabular-playground-series-eda-xgboost", "kernel_id": "13991572"}, {"ref": "cosmosankur/ready-steady-regress-day1", "kernel_id": "13998640"}, {"ref": "iamleonie/handling-multimodal-distributions-fe-techniques", "kernel_id": "13965457"}, {"ref": "ashwinrachha1/advanced-ensemble-regression-xgb-lgb-nn", "kernel_id": "13955980"}, {"ref": "elvinagammed/tabnet-regression-baseline", "kernel_id": "13989725"}, {"ref": "elvinagammed/lightgbm-baseline-tuned-69", "kernel_id": "13968226"}, {"ref": "atharvaingle/kfold-cross-validation-tutorial", "kernel_id": "13987863"}, {"ref": "kareem3egm/tabular-playground-series-notebook", "kernel_id": "13976094"}, {"ref": "rmiperrier/tps-jan-eda-cleaning-xgboost", "kernel_id": "13959467"}, {"ref": "kagglepij/tabular-playground-xgboost", "kernel_id": "13987553"}, {"ref": "fatimahahmadi/starter-notebook-tabular-jan-2021", "kernel_id": "13960787"}, {"ref": "japandata509/tabular-playground-series-simple-random-forest", "kernel_id": "13950710"}, {"ref": "kingabzpro/kaggle-cat-boost-tabular-2021", "kernel_id": "13954446"}, {"ref": "oldwine357/tabular-series-eda-xgb-hyperparameter-tuning", "kernel_id": "13973114"}, {"ref": "danevans/jan-playground-v2", "kernel_id": "14479626"}, {"ref": "mt77pp/mljar-autoeda-automl-prediction", "kernel_id": "14242902"}, {"ref": "mathurinache/pseudo-labelling", "kernel_id": "14000637"}, {"ref": "mathurinache/starter-lgb-with-fe", "kernel_id": "14054667"}, {"ref": "kailex/tabular-playground-eda", "kernel_id": "14067923"}, {"ref": "harshavardhan0/tabular-playground-series-ipynb", "kernel_id": "14450386"}, {"ref": "ryanzhang/tabular-playground-some-slightly-useful-features", "kernel_id": "14176379"}, {"ref": "ryanzhang/ridge-on-random-tree-features", "kernel_id": "14426003"}, {"ref": "shogosuzuki/0-69701-folds-10-lightgbm", "kernel_id": "14310043"}, {"ref": "shogosuzuki/0-69713-lightgbm-with-small-learning-rate", "kernel_id": "14282092"}, {"ref": "siero5335/tabnet-with-tidymodels", "kernel_id": "14074961"}, {"ref": "jamesmcguigan/fast-ai-tabular-solver", "kernel_id": "14384808"}, {"ref": "jamesmcguigan/tabular-playground-lightgbm", "kernel_id": "14403860"}, {"ref": "jamesmcguigan/tabular-playground-xgboost", "kernel_id": "14388243"}, {"ref": "jamesmcguigan/tabular-playground-scikit-learn-ensemble", "kernel_id": "14389371"}, {"ref": "tolgadincer/continuous-target-stratification", "kernel_id": "14189704"}, {"ref": "lorinc/exploratory-analysis-with-mixture-model", "kernel_id": "14102164"}, {"ref": "tunguz/jan-21-tps-h2o-automl", "kernel_id": "14527832"}, {"ref": "tunguz/tps-rapids-baseline", "kernel_id": "14455624"}, {"ref": "tunguz/tps-jan-2021-with-histgradientboostingregressor", "kernel_id": "14454005"}, {"ref": "tunguz/tps-jan-2021-with-mlpregressor", "kernel_id": "14497208"}, {"ref": "tunguz/tps-01-21-feature-importance-with-xgboost-and-shap", "kernel_id": "14479967"}, {"ref": "tunguz/adversarial-tps-jan-2021", "kernel_id": "14393571"}, {"ref": "ttahara/tps-feb-2021-3gbdts-ensemble-baseline", "kernel_id": "14605605"}, {"ref": "bezul2/basic-xgbregressor-tabular-playground-jan21", "kernel_id": "14128879"}, {"ref": "davidedwards1/jan21-tabplayground-nn-final-more-features", "kernel_id": "14589590"}, {"ref": "davidedwards1/jan21-tabplayground-nn-final-fewer-features", "kernel_id": "14593174"}, {"ref": "davidedwards1/jan21-tabular-playground-4-lb-final-blend", "kernel_id": "14593865"}, {"ref": "code1110/tabplay-linear-stacking-with-gbdt-and-nn", "kernel_id": "14118496"}, {"ref": "code1110/tabplay-xgboost-seed-average", "kernel_id": "14137778"}, {"ref": "code1110/tabplay-pytorch-tabnet-starter", "kernel_id": "14139026"}, {"ref": "code1110/tabplay-kerastuner-starter", "kernel_id": "14403812"}, {"ref": "springmanndaniel/1st-place-turn-your-data-into-daeta", "kernel_id": "14595833"}, {"ref": "gvyshnya/kmeans-clustering-experiment", "kernel_id": "14271733"}, {"ref": "gvyshnya/using-autoviz-to-build-a-comprehensive-eda", "kernel_id": "14207775"}, {"ref": "gvyshnya/h2o-automl-with-additional-features", "kernel_id": "14546409"}, {"ref": "manujosephv/pytorch-tabular-node-lgbm-catboost", "kernel_id": "14044928"}, {"ref": "rafburzy/tabular-playground-competition-xgb-gridsearch", "kernel_id": "14055870"}, {"ref": "susree64/tabular-play-ground-series-jan-2021", "kernel_id": "14139272"}, {"ref": "chris36/jan-tabular-data", "kernel_id": "14068498"}, {"ref": "sanjay147/xgb-based-regressor-model", "kernel_id": "14050492"}, {"ref": "a763337092/neural-network-starter-with-keras", "kernel_id": "14076441"}, {"ref": "ekozyreff/regression-with-higher-order-terms", "kernel_id": "14184008"}, {"ref": "gpreda/february-tabular-playground-challenge-eda", "kernel_id": "14629920"}, {"ref": "gpreda/tabular-playground-series-january-eda", "kernel_id": "14148294"}, {"ref": "luisvelasco/dnnregressor", "kernel_id": "14205960"}, {"ref": "fatihozturk/nn-with-embedding-part-of-3rd-place-solution", "kernel_id": "14598743"}, {"ref": "fatihozturk/models-stacking-3rd-place-solution", "kernel_id": "14587054"}, {"ref": "fatihozturk/lgbm-model-initialisation-trick", "kernel_id": "14424330"}, {"ref": "drscarlat/playground-jan-2021-simple-nn-and-some-shallows", "kernel_id": "14481856"}, {"ref": "shyjohn/shy-john-submission", "kernel_id": "14045167"}, {"ref": "sunil5807516/notebookad7f40e254", "kernel_id": "14664862"}, {"ref": "anubhav1302/playground-with-lightgbm", "kernel_id": "14097404"}, {"ref": "cafalchio/simple-tabular-with-autogluon", "kernel_id": "14149162"}, {"ref": "styagi130/tps-jan-eda-linear-regression", "kernel_id": "14584660"}, {"ref": "ca3295/lightgbm-basics", "kernel_id": "14428754"}, {"ref": "ca3295/glm-building-in-r-part-1", "kernel_id": "14423893"}, {"ref": "ekaansh/xgboost-optuna-optimization", "kernel_id": "14459328"}, {"ref": "spaghettiidawg666/regression-practice", "kernel_id": "14167964"}, {"ref": "renatopaschoalim/tabular-playground-series-stacking", "kernel_id": "14198492"}, {"ref": "chandraroy/lgb-grid-search-regressor-baseline-model", "kernel_id": "14327988"}, {"ref": "chandraroy/ensemble-techniques-xgb-lgb-regressor", "kernel_id": "14438581"}, {"ref": "chandraroy/lgb-regressor-baseline-model", "kernel_id": "14188542"}, {"ref": "nyk510/vivid-baseline", "kernel_id": "14017621"}, {"ref": "nyk510/vivid-lightgbm-parameter-tuning-using-optuna", "kernel_id": "14191427"}, {"ref": "sanikamal/tabular-playground-i-tree-based-algorithms", "kernel_id": "14129092"}, {"ref": "gustavomodelli/keras-model-regression-r", "kernel_id": "14006713"}, {"ref": "ashishtop/jan-tabular-playground-competition", "kernel_id": "14289120"}, {"ref": "docxian/tabular-playground-1-bimodal-two-step-model", "kernel_id": "14265672"}, {"ref": "joseag/tabular-playground-series-20210126", "kernel_id": "14458446"}, {"ref": "blighpark/merge-results-tabular-playground-series", "kernel_id": "14248069"}, {"ref": "blighpark/pycaret-regression", "kernel_id": "14208130"}, {"ref": "ezzzio/tabular-playgroud-series", "kernel_id": "14555764"}, {"ref": "deb009/tabular-playground-series-jan-2021", "kernel_id": "14053839"}, {"ref": "chrisbradley/tab-playground-predicting-bimodal-distribution", "kernel_id": "14151081"}, {"ref": "nasere/0-69758-aggregate-magic", "kernel_id": "14160039"}, {"ref": "sishihara/neural-network-for-tabular-example", "kernel_id": "14017196"}, {"ref": "sishihara/1dcnn-for-tabular-from-moa-2nd-place", "kernel_id": "14062235"}, {"ref": "revathiprakash/jan-tabular-playground-competition-fast-ai", "kernel_id": "14174970"}, {"ref": "shemskurtoglu/tabular-00", "kernel_id": "14163313"}, {"ref": "s92014721/trying-autokeras-with-tabular-playground-jan2021", "kernel_id": "14915583"}, {"ref": "fanbyprinciple/fastai-v4-using-tabular-learner", "kernel_id": "14175346"}, {"ref": "njelicic/pure-numpy-ols", "kernel_id": "14060812"}, {"ref": "njelicic/linearregression-from-scratch-pytorch", "kernel_id": "14159535"}, {"ref": "tjcdev/clean-analyze-and-visualise-the-tabular-data", "kernel_id": "14566804"}, {"ref": "samuraiwarm/tabular-playground-jan-2021-gmm-feat-lightgbm", "kernel_id": "14590481"}, {"ref": "mahmudds/tabular-playground-series-jan-2021", "kernel_id": "14576593"}, {"ref": "darknez/first-sub", "kernel_id": "14390561"}, {"ref": "darknez/average-score-randomforest", "kernel_id": "14443964"}, {"ref": "kennethr/jan-tps-eda-xgb-optuna-hyperparam-tuning", "kernel_id": "14591678"}, {"ref": "xhlulu/tps-january-train-model-in-8s-using-rapids", "kernel_id": "14016028"}, {"ref": "cchia3/tabular-playground-overview", "kernel_id": "14011238"}, {"ref": "hyperbeam/simple-stacking-with-ensemble-regressors", "kernel_id": "14412255"}, {"ref": "shyambhu/linear-non-linear-model-starter-notebook", "kernel_id": "14054724"}, {"ref": "agileteam/tensorflow-baseline-tutorial-starter", "kernel_id": "14176535"}, {"ref": "agileteam/no-coding-with-azure-ml-studio", "kernel_id": "14250096"}, {"ref": "rushobd/tabularplayground", "kernel_id": "14262865"}, {"ref": "ugurdar/tabular-playground-keras-r", "kernel_id": "14395597"}, {"ref": "khotijahs1/tps-tuning-lgbm-parameter-using-optuna", "kernel_id": "14328711"}, {"ref": "desareca/automl-h2o-tabular-data-jan21", "kernel_id": "14105997"}, {"ref": "desareca/finding-relationships-between-features", "kernel_id": "14529277"}, {"ref": "elvenmonk/genetic-programming-sample-gplearn", "kernel_id": "14068166"}, {"ref": "godzill22/finding-the-right-regression-algorithm", "kernel_id": "14347518"}, {"ref": "eladwar/generic-starter", "kernel_id": "14278248"}, {"ref": "eladwar/notebooka58a105a99", "kernel_id": "14396899"}, {"ref": "amsavchuk/tabular-playground-jan-2021-xgboost", "kernel_id": "14064718"}, {"ref": "ssooni/xgboost-lgbm-optuna", "kernel_id": "14305889"}, {"ref": "jarupula/tabular-playground-lgbm-xgboost-catboost", "kernel_id": "14097157"}, {"ref": "karimeid95/catboost", "kernel_id": "14139468"}, {"ref": "anirbansen3027/tps-012021-baseline-pycaret", "kernel_id": "14012527"}, {"ref": "vhomello/using-xgboost-in-tabular-problem", "kernel_id": "14571375"}, {"ref": "ifichingo/simple-gradient-boosting-regressor-model", "kernel_id": "14384552"}, {"ref": "maunish/tps-simple-stacking", "kernel_id": "14517964"}, {"ref": "maunish/tps-simple-ensemble", "kernel_id": "14201098"}, {"ref": "dikuchan/tabular-playground-ensemble-team-cringe", "kernel_id": "14377327"}, {"ref": "domizianostingi/playground-january", "kernel_id": "14036814"}, {"ref": "pksx01/tabular-playground-jan-21-xgboost", "kernel_id": "14437786"}, {"ref": "brukselka/xgb-regressor", "kernel_id": "14059185"}, {"ref": "harshsoni/jan-tabular-2021", "kernel_id": "14609384"}, {"ref": "ctlockhart3/tabularplayground-keras-regression", "kernel_id": "14569144"}, {"ref": "ctlockhart3/tabularplayground-january", "kernel_id": "14411361"}, {"ref": "ccollado7/tabular-playground-series-jan-2021-eda", "kernel_id": "14038844"}, {"ref": "harshitt21/tabular-playground-series-eda-model", "kernel_id": "14101366"}, {"ref": "meetshah96/tabular-playground-series-jan-2021", "kernel_id": "14114734"}, {"ref": "davidkatzil/sklearnpipeline-with-gridsearch-votingregressor", "kernel_id": "14579645"}, {"ref": "jassican/0-69769-public-score-lgb-cat-tuned", "kernel_id": "14147957"}, {"ref": "standpr2019/lgbm-tuning-cv-0-697-tps-2021jan", "kernel_id": "14086224"}, {"ref": "biswajitghosh145/beginner-friendly-tutorial-0-69973-score", "kernel_id": "14220134"}, {"ref": "hamzaghanmi/xgboost-catboost-using-optuna", "kernel_id": "14234158"}, {"ref": "hamzaghanmi/11th-solution", "kernel_id": "14589359"}, {"ref": "mdhamani/tps-eda-super-learner-randomized-search", "kernel_id": "14087727"}, {"ref": "mdhamani/tps-getting-better-eda-lgbm-optuna", "kernel_id": "14163466"}, {"ref": "mdhamani/tps-getting-better-eda-pytorch-neural-net", "kernel_id": "14230649"}, {"ref": "andreshg/automatic-eda-libraries-comparisson", "kernel_id": "14537721"}, {"ref": "andreshg/xgboost-optuna-hyperparameter-tunning", "kernel_id": "14445592"}, {"ref": "caesarlupum/start-here-pycaret-regression", "kernel_id": "14454520"}, {"ref": "caesarlupum/tabular-playgroud-series-lgbmregressor", "kernel_id": "14004783"}, {"ref": "rajsengo/tps-jan-2021-stater-eda-and-modeling", "kernel_id": "14013643"}, {"ref": "krishna1997gopal/just-start-this-year-with-regression-lr-xgb", "kernel_id": "14192473"}, {"ref": "guecoraph/regression-project-on-tabular-data", "kernel_id": "14548094"}, {"ref": "bhavikjain/lgbm-xgboost-catboost-tabular-playground-series", "kernel_id": "14161713"}, {"ref": "jordankeith/tabular-playground-series-january", "kernel_id": "14254347"}, {"ref": "shyam21/auto-ml-tps21", "kernel_id": "14186319"}, {"ref": "shyam21/stacked-regression-advanced", "kernel_id": "14050897"}, {"ref": "elvinagammed/deeptables-neural-networks-for-tabular-data", "kernel_id": "14074669"}, {"ref": "elvinagammed/simplest-automl-regression", "kernel_id": "14010027"}, {"ref": "elvinagammed/ridge-regression", "kernel_id": "14031201"}, {"ref": "carlmcbrideellis/tabular-playground-histogramgboost-starter-script", "kernel_id": "14042486"}, {"ref": "martinhvizdak/regression-rfr", "kernel_id": "14559246"}, {"ref": "tomokikmogura/catboost-hyperparameters-tuning-with-optuna", "kernel_id": "14190729"}, {"ref": "imsparsh/tabular-playground-series", "kernel_id": "14498987"}, {"ref": "bassaidai19/tabular-jan", "kernel_id": "14560381"}, {"ref": "fireballbyedimyrnmom/tabular-jan-2021", "kernel_id": "14016325"}, {"ref": "nguyncaoduy/fastai-tabular-regression-model-nn-xgb", "kernel_id": "14495071"}, {"ref": "nguyncaoduy/fastai-tabular-regression-model-tabnet", "kernel_id": "14520972"}, {"ref": "frankmollard/t-sne-umap-rapids", "kernel_id": "14248125"}, {"ref": "frankmollard/rapids-knregressor-rank-gauss-eda", "kernel_id": "14203167"}, {"ref": "frankmollard/h2o-machine-learning", "kernel_id": "14184419"}, {"ref": "yevonnaelandrew/lgbm-cat-xgb-optimization-stacking", "kernel_id": "14070377"}, {"ref": "hal1001k/tabular-playground-jan-2021-eda", "kernel_id": "14194052"}, {"ref": "damoonshahhosseini/tab-data", "kernel_id": "14093181"}, {"ref": "ankitadhawan/tabular-playground-series", "kernel_id": "14074870"}, {"ref": "cnhung/tabular-vae-2d-cnn-xla", "kernel_id": "14392329"}, {"ref": "essefiahlem/get-started-jan-tabular-playground-competition", "kernel_id": "14207193"}, {"ref": "yoonjookim/notebookb827b9df87", "kernel_id": "14555268"}, {"ref": "yanngarcia/tps-jan-2021-generic-approach-of-machine-learning", "kernel_id": "14106538"}, {"ref": "tosinabase/jan-21-regularized-regression-ridge-and-lasso", "kernel_id": "14279666"}, {"ref": "tosinabase/jan-21-random-forest-with-gridsearchcv", "kernel_id": "14256122"}, {"ref": "rmiperrier/tps-jan-easy-lgb-with-pycaret", "kernel_id": "14171184"}, {"ref": "jswxhd/xgboost-vs-lgbm-optuna", "kernel_id": "14089795"}, {"ref": "jswxhd/regression-with-h2o-beginner", "kernel_id": "14253457"}, {"ref": "yerramvarun/ensembling-regression-models-with-scikit-learn", "kernel_id": "14038525"}, {"ref": "nidhaypancholi/tabular-playground-jan-2021-eda-and-prediction", "kernel_id": "14095960"}, {"ref": "ayushmansc/tabular-playground-series", "kernel_id": "14287833"}, {"ref": "simranbahia/jantabular-playground-competition", "kernel_id": "14040656"}, {"ref": "tumanovalexander/tabular-playground-series-feateng-lasso-rf", "kernel_id": "14235441"}, {"ref": "jyotmakadiya/ensemble-using-xgboost-and-lgbm-with-eda", "kernel_id": "14331351"}, {"ref": "yasunorisato/jan00", "kernel_id": "14117071"}, {"ref": "chachiawacef/tabular-playground-series-rmse-0-7", "kernel_id": "14107868"}, {"ref": "gauravsahani/detailed-eda-with-lightgbm-score-0-698", "kernel_id": "14441665"}, {"ref": "gauravgujar/jan-tabular-playground-competition-randomforest", "kernel_id": "14155963"}, {"ref": "somayyehgholami/results-driven-tabular-playground-series-201", "kernel_id": "14115408"}, {"ref": "somayyehgholami/0-69470-results-driven-january-tabular-301", "kernel_id": "14687644"}, {"ref": "ankitverma2010/tubular-playground-regression", "kernel_id": "14463946"}, {"ref": "kengofujii/playground-lgbm-xgb-catboost", "kernel_id": "14162481"}, {"ref": "baptistemistral/boosting-tabular-playground-jan21", "kernel_id": "14181871"}, {"ref": "debarshichanda/optuna-automated-hyperparameter-tuning", "kernel_id": "14049629"}, {"ref": "neilcosgrove/jan-2021-tabular-playground-lgbm-xgboost", "kernel_id": "14376120"}, {"ref": "aeryss/tabular-playground-jan-2021-tabnet-baseline", "kernel_id": "14020324"}, {"ref": "aeryss/tabular-playground-jan-2021-neural-network", "kernel_id": "14142855"}, {"ref": "aeryss/tabular-playground-jan-2021-catboost-with-fe", "kernel_id": "14138753"}, {"ref": "prateekagrawal1405/automl-h20-ktps21", "kernel_id": "14130890"}, {"ref": "padmanabhabanerjee/gymkhana", "kernel_id": "14330582"}, {"ref": "lebedinjo/catboost-with-some-weird-feature-generation", "kernel_id": "14369286"}, {"ref": "phoenix23/simple-nn-model", "kernel_id": "14615287"}, {"ref": "vipulbahl/score-0-69779-with-stacking", "kernel_id": "14598768"}, {"ref": "songrise/beginner-basic-eda-fine-tuning-model-stacking", "kernel_id": "14060460"}, {"ref": "vegorovmsk/xgb-tuning-by-analytics-vidhya", "kernel_id": "14247181"}, {"ref": "vegorovmsk/linear-models-with-gridsearchcv", "kernel_id": "14049721"}, {"ref": "vegorovmsk/xgb-with-removed-outliers", "kernel_id": "14202948"}, {"ref": "niteshsaini/tabular-playground-series", "kernel_id": "14442516"}, {"ref": "munumbutt/stacked-xgboost-with-optuna-hyperparam-tuning", "kernel_id": "14377376"}, {"ref": "anandkumarravi/first-kaggle-competition-anand", "kernel_id": "14317408"}, {"ref": "ernnnn4u/baseline-lgb-no-tune", "kernel_id": "14030995"}, {"ref": "tracyporter/tabular-january-2021", "kernel_id": "14063979"}, {"ref": "jonas0/beginner-friendly-tutorial-0-69924-score", "kernel_id": "14185943"}, {"ref": "japandata509/how-to-analyze-leaderboard-easily", "kernel_id": "14437027"}, {"ref": "sahintiryaki/xgboost", "kernel_id": "14262521"}, {"ref": "anupamisra/regression-explanatory", "kernel_id": "14190275"}, {"ref": "vijayakishoredusi/test-notebook-4", "kernel_id": "14389808"}, {"ref": "onurserbetci/keras-lightgbm", "kernel_id": "14452077"}, {"ref": "scarecrow2020/whole-pipeline-eda-lgbm-xgb-stackingreg", "kernel_id": "14532547"}, {"ref": "neilgibbons/tuning-tabnet-with-optuna", "kernel_id": "14215799"}, {"ref": "neilgibbons/mdn-v3", "kernel_id": "14480582"}, {"ref": "neilgibbons/pi-mu-weighted-average", "kernel_id": "14564926"}, {"ref": "kyuhwanyeon/installation-guide-of-auto-sklearn-for-automl", "kernel_id": "14256546"}, {"ref": "marionhesse/hyperopt-xgboost-parameter-tuning", "kernel_id": "14515126"}, {"ref": "mellebrouwer/tabular-gmm-eda", "kernel_id": "14233837"}, {"ref": "mellebrouwer/tabular-baseline", "kernel_id": "14229595"}, {"ref": "mellebrouwer/tabular-stacking", "kernel_id": "14231265"}, {"ref": "indranisen06/xgbregressor-model", "kernel_id": "14498655"}, {"ref": "maostack/english-for-beginner-how-to-xgboost", "kernel_id": "14421266"}, {"ref": "maostack/english-score-0-69739-stacking-for-beginner", "kernel_id": "14514079"}, {"ref": "maostack/english-compare-regressors-lightgbm-xgboost", "kernel_id": "14452282"}, {"ref": "maostack/english-pseudo-labeling", "kernel_id": "14464696"}, {"ref": "webanalyst88/tabular-playground-fastai-v2", "kernel_id": "14477733"}, {"ref": "hirazawahiroshi/visualization-tuning-ridge-lasso-xgboost", "kernel_id": "14388835"}, {"ref": "ricorauschkolb/fastai-nn", "kernel_id": "14110259"}, {"ref": "mahmoudalaa01010101/eda-tabular-playground", "kernel_id": "14082785"}, {"ref": "kingabzpro/automljar", "kernel_id": "14040323"}, {"ref": "kingabzpro/mljar-autoeda-automl-lb-0-69849", "kernel_id": "14401709"}, {"ref": "kingabzpro/tabnet-regressor", "kernel_id": "14535876"}, {"ref": "thomasmthoppil/a-noob-attempt", "kernel_id": "14302026"}, {"ref": "loycelorenzo/tabular-playground-series-jan-2021", "kernel_id": "14152625"}, {"ref": "peternagymathe/tab-playground", "kernel_id": "14345810"}, {"ref": "saiuttamgadde/regression-ann", "kernel_id": "14285665"}, {"ref": "henseljahja/h2o-automl-python", "kernel_id": "14461056"}, {"ref": "mahmoudlimam/tabular", "kernel_id": "14058496"}, {"ref": "adriencossa/tabular-jan-2021-panda-profiling-autofeat", "kernel_id": "14009701"}, {"ref": "nicholaskarlson/tabular-playground-series-how-good-is-best", "kernel_id": "14567274"}, {"ref": "nicholaskarlson/tps-hyperopt-run-jan2021", "kernel_id": "14570320"}, {"ref": "nicholaskarlson/tps-apply-xgboost-to-data-jan2021", "kernel_id": "14553420"}, {"ref": "jayanthappalla/notebook01972ce568", "kernel_id": "14178239"}, {"ref": "faraaa/xgboost-tabular-playground", "kernel_id": "14103585"}, {"ref": "sakuraandblackcat/leaning-validation-curve-optuna-for-gbdts", "kernel_id": "14259415"}, {"ref": "sakuraandblackcat/leaning-validation-curve-and-optuna-for-gbdts", "kernel_id": "14309939"}, {"ref": "sakuraandblackcat/r-gbdts-tuning-with-optuna", "kernel_id": "14130808"}, {"ref": "sakuraandblackcat/r-from-linear-regression-to-gbdts", "kernel_id": "14155709"}, {"ref": "abolfazlmalekahmadi/finial-code-for-tabular-khodai", "kernel_id": "14101185"}, {"ref": "aristarhbfg/only-lgb", "kernel_id": "14199994"}, {"ref": "luisbedia/tabular-playground", "kernel_id": "14428390"}, {"ref": "ltminseokkim/novice-s-ml-regression-analysis-korean", "kernel_id": "14135634"}, {"ref": "iainmcintosh/simple-xgboost-example-using-a-random-forest", "kernel_id": "14132528"}, {"ref": "zesulank/tabular-catboost", "kernel_id": "14577538"}, {"ref": "hackspyder/gbdts-baseline-ensemble-models", "kernel_id": "14013389"}, {"ref": "dharmendrakondapalli/tabular5", "kernel_id": "14124871"}, {"ref": "janatrelkov/notebook61c525e4a1", "kernel_id": "14085025"}, {"ref": "camole/a-method-to-generate-various-bimodal-predictions", "kernel_id": "14361344"}, {"ref": "hekkta/jan-2021-playground", "kernel_id": "14141995"}, {"ref": "zonty333/notebookca9ea2d5b9", "kernel_id": "14249216"}, {"ref": "ianmcnair/quick-tabular-playground", "kernel_id": "14253182"}, {"ref": "santabudi/jan-tabular-playground-competition", "kernel_id": "14338693"}, {"ref": "saikumarkella/tps-eda-xgboost", "kernel_id": "14483763"}, {"ref": "tunguz/tps-jan-21-skorch-starter", "kernel_id": "15113776"}, {"ref": "rsesha/featurewiz-kaggle-template", "kernel_id": "15673679"}, {"ref": "maulberto3/tps-jan2021-lightgbm", "kernel_id": "15421097"}, {"ref": "marychin/catboost-lightgbm-xgboost-cpu-vs-gpu", "kernel_id": "15519151"}, {"ref": "haichaoshang/tps-jan21-lgbm-learning", "kernel_id": "15301692"}, {"ref": "srividhyaag/tabular-playground-competition-jan", "kernel_id": "15869511"}, {"ref": "rohanrao/automl-tutorial-tps-january-2021", "kernel_id": "16546983"}, {"ref": "rajeevctrl/tabular-playground-series-jan-2021", "kernel_id": "16195539"}, {"ref": "vankarthik1991/kr-simple-model-jan21", "kernel_id": "16697850"}, {"ref": "vankarthik1991/kr-eda-jan21", "kernel_id": "16830127"}, {"ref": "hikmetsezen/blend-boosting-best-score-on-tsp-jan-2021", "kernel_id": "16947019"}, {"ref": "natsukitaniguchi/xgboost-lgbm-optuna-ae", "kernel_id": "16869724"}, {"ref": "fumiyakomatsu/tabular-playground-linear-regression", "kernel_id": "16551829"}, {"ref": "hyunjin02/tabular-playground-series-jan-2021-hyunjin", "kernel_id": "16055822"}, {"ref": "kingoffitpredict/time-optimization", "kernel_id": "16088708"}, {"ref": "irfanahmad1/kaggle-tabular-playground-series-approach", "kernel_id": "17890345"}, {"ref": "ktakuya864/optuna-xgboost", "kernel_id": "17103400"}, {"ref": "ktakuya864/lr-xgboost-rf-knn-stacking", "kernel_id": "17337347"}, {"ref": "nikitakuzmin/time-optimization", "kernel_id": "17290309"}, {"ref": "stpeteishii/tps0121-xgboost-optuna", "kernel_id": "18321271"}, {"ref": "stpeteishii/tpg0121-lightgbm-optuna", "kernel_id": "18289378"}, {"ref": "arvindbudh/play-ground-jan-2021", "kernel_id": "18110604"}, {"ref": "adityab19/jan-playground", "kernel_id": "18386228"}, {"ref": "navlikasingh/beginner-s-approach-i-score-0-70990", "kernel_id": "18246782"}, {"ref": "parthsoni1007/tabular-playground", "kernel_id": "18747438"}, {"ref": "rushilpatra/notebook027b62173f", "kernel_id": "18770230"}, {"ref": "yashpal06/notebook90ac6439ae", "kernel_id": "18757716"}, {"ref": "pranavsahu/notebook8890b66b2f", "kernel_id": "18767059"}, {"ref": "arunpurakkatt/xgboost-optuna-hyperparameter-tunning", "kernel_id": "19775295"}, {"ref": "dwijendranathsahoo/exploratory-data-analysis-tps-jan", "kernel_id": "20971721"}, {"ref": "sabyasachi96/tps-jan2022-grid-search-cv-lgbm", "kernel_id": "20033473"}, {"ref": "smita09/tps-jan-worst-solution", "kernel_id": "20484376"}, {"ref": "lumanlanc/regression-6-improving-r5-baseline-w-feature-eng", "kernel_id": "21424392"}, {"ref": "lumanlanc/regression-5a-create-folds", "kernel_id": "21317278"}, {"ref": "lumanlanc/regression-5", "kernel_id": "21318595"}, {"ref": "sanketsz/trainfolds", "kernel_id": "21462029"}, {"ref": "oskarstachowski/tps-i-skni-advanced", "kernel_id": "22179677"}, {"ref": "oskarstachowski/tps-i-skni", "kernel_id": "22042388"}, {"ref": "hosseinbehjat/deep-learning", "kernel_id": "22909174"}, {"ref": "aneridalwadi/modelling-the-playground-tps-jan", "kernel_id": "22926805"}, {"ref": "cezarydymicki/playground-jan-2021-test", "kernel_id": "22141210"}, {"ref": "yessirbacon1/cluster-target-model-each", "kernel_id": "23113948"}, {"ref": "sumeetbohra/tps-jan-2021", "kernel_id": "23668696"}, {"ref": "waldemar/tps-jan-2021-eda-1", "kernel_id": "24850890"}, {"ref": "lucamassaron/example-of-adversarial-validation", "kernel_id": "25709203"}, {"ref": "mohsenesm12/notebook41cc3f6bcf", "kernel_id": "25040110"}, {"ref": "rohitgadhwar/xgbregressor-model-training-with-optuna-tunning", "kernel_id": "25833575"}, {"ref": "danielebaldoni/a-simple-approach-for-beginners", "kernel_id": "25679497"}, {"ref": "ivjyotsingh/tps-jan21-feature-selection", "kernel_id": "25722281"}, {"ref": "dkurbatovv/tabular-playground-series-jan-2021", "kernel_id": "25662176"}, {"ref": "fatmaaneis/handling-multimodal-distributions-fe-techniques", "kernel_id": "25433562"}, {"ref": "perotti/xgboost-hyperparameter-tuning-using-optuna", "kernel_id": "26361953"}, {"ref": "shagkala/a-complete-guide-for-beginners", "kernel_id": "26425319"}, {"ref": "amarloni/notebookdb8a595264", "kernel_id": "26816101"}, {"ref": "lucamassaron/tps1-adversarial-validation-example", "kernel_id": "27013930"}, {"ref": "iampunitkmryh/kaggle-day-02-kaggle-playground-1", "kernel_id": "27084223"}, {"ref": "danielebaldoni/pandas-profiling-for-eda-examples", "kernel_id": "27669679"}, {"ref": "seokii/study-kaggle-tabular-playground-series-jan-2022", "kernel_id": "27308719"}, {"ref": "sankalpg/jan-2021", "kernel_id": "27681393"}, {"ref": "aashidutt3/tabular-playground-series-prediction-model", "kernel_id": "29376420"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "rumbleftw/advanced-regression-multi-model-analysis", "kernel_id": "29717898"}, {"ref": "tunguz/tps-jan-2021-with-ridge", "kernel_id": "31934472"}, {"ref": "tunguz/tps-01-21-linear-xgboost", "kernel_id": "31935107"}, {"ref": "lequanghai/tpsjan21-keras-and-kfold-basic", "kernel_id": "31076900"}, {"ref": "lequanghai/tpsjan21-eda-and-random-forest-baseline", "kernel_id": "31040397"}, {"ref": "gkunche/tabular-playground-series-jan-2021", "kernel_id": "31105527"}, {"ref": "ppsheth91/tabular-playground-series", "kernel_id": "31030260"}, {"ref": "barbagrande007/bbg007-jan2021", "kernel_id": "32944340"}, {"ref": "ingluissantana/tabular-playground-jan-2021", "kernel_id": "33649958"}, {"ref": "devashishbhake01/tabular-playground-2021-score-0-74", "kernel_id": "33717454"}, {"ref": "autumnawrange/unsupervised-tabnet", "kernel_id": "35193802"}, {"ref": "joanpau/basic-model-optimization-with-optuna-optuna", "kernel_id": "39603027"}, {"ref": "addicharla1sathvik/solving-using-ann", "kernel_id": "42062302"}, {"ref": "euler90h/solving-tabular-playground-jan-2021-with-flax", "kernel_id": "42706988"}, {"ref": "mithuleshponraj/mdn-model", "kernel_id": "45047055"}, {"ref": "matheuslopesvivas/tabular-playground-series-pytorch", "kernel_id": "49900709"}]}
{"competition_id": "24678", "kernels": []}
{"competition_id": "24679", "kernels": []}
{"competition_id": "24682", "kernels": []}
{"competition_id": "24683", "kernels": []}
{"competition_id": "24689", "kernels": []}
{"competition_id": "24691", "kernels": [{"ref": "dipaola/fifagate", "kernel_id": "16314099"}]}
{"competition_id": "24699", "kernels": []}
{"competition_id": "24706", "kernels": []}
{"competition_id": "24707", "kernels": [{"ref": "ashishparmar/notebook123e230433", "kernel_id": "31941422"}]}
{"competition_id": "24708", "kernels": []}
{"competition_id": "24709", "kernels": [{"ref": "cselmo/regresi-n-log-stica-con-keras", "kernel_id": "13455513"}]}
{"competition_id": "24710", "kernels": []}
{"competition_id": "24714", "kernels": []}
{"competition_id": "24716", "kernels": []}
{"competition_id": "24721", "kernels": []}
{"competition_id": "24726", "kernels": []}
{"competition_id": "24728", "kernels": []}
{"competition_id": "24732", "kernels": []}
{"competition_id": "24734", "kernels": []}
{"competition_id": "24735", "kernels": []}
{"competition_id": "24737", "kernels": []}
{"competition_id": "24740", "kernels": []}
{"competition_id": "24741", "kernels": []}
{"competition_id": "24746", "kernels": []}
{"competition_id": "24747", "kernels": []}
{"competition_id": "24750", "kernels": []}
{"competition_id": "24752", "kernels": []}
{"competition_id": "24753", "kernels": []}
{"competition_id": "24754", "kernels": []}
{"competition_id": "24755", "kernels": [{"ref": "kjwdubu/kisti", "kernel_id": "13532427"}]}
{"competition_id": "24759", "kernels": []}
{"competition_id": "24761", "kernels": [{"ref": "anandagunawan1166/siamese-unet-for-deforestation-detection", "kernel_id": "85619774"}]}
{"competition_id": "24764", "kernels": [{"ref": "matteocondelli/actuarial-eda", "kernel_id": "13727953"}, {"ref": "floser/workers-compensation-explore-and-predict", "kernel_id": "13875091"}, {"ref": "monibalint/actuarial-loss-prediction-starter-eda", "kernel_id": "13638093"}, {"ref": "adaubas/why-not-to-blend-catboost-extratree-and-a-nn", "kernel_id": "14521976"}, {"ref": "mskoubani/for-starters", "kernel_id": "14668023"}, {"ref": "tanguypledel/topic-modeling-lda-implementation", "kernel_id": "14027330"}, {"ref": "alexryzhkov/lightautoml-starter", "kernel_id": "15928666"}, {"ref": "docxian/actuarial-loss-prediction-eda-and-baseline-in-r", "kernel_id": "15401788"}, {"ref": "docxian/actuarial-loss-prediction-multi-model-w2v", "kernel_id": "15468022"}, {"ref": "floser/wages-words-and-validation-in-r", "kernel_id": "15470535"}, {"ref": "msafi04/predict-actuarial-loss-eda-and-baseline", "kernel_id": "16238210"}, {"ref": "louise2001/rapids-pca-for-sentenceembeddings", "kernel_id": "16116616"}, {"ref": "louise2001/rapids-sentenceembeddings-for-regression", "kernel_id": "16704293"}, {"ref": "jerrytutttle/notebook-wc-prediction", "kernel_id": "16157413"}, {"ref": "bernhardklinger/actuarial-loss-prediction-automl", "kernel_id": "16208844"}, {"ref": "yasserhessein/actuarial-loss-eda", "kernel_id": "16639601"}, {"ref": "linyuanwang/a-blend-of-extratree-and-lightgbm", "kernel_id": "16064274"}, {"ref": "sanikad/beginner-friendly-guide-to-nlp-and-xgboost", "kernel_id": "20966561"}, {"ref": "josecarmona/practicando-r", "kernel_id": "21344953"}, {"ref": "issactoast/actuarial-loss-estimation", "kernel_id": "22498693"}, {"ref": "sunyaekim/actuarial-loss-estimation-21-12-14", "kernel_id": "22498788"}, {"ref": "qwer999/actuarial-loss", "kernel_id": "22480276"}, {"ref": "zerostone112/actuarial0948", "kernel_id": "22676231"}, {"ref": "ehfpal9700/notebook764411db7d", "kernel_id": "22498764"}, {"ref": "joonhyoungpark2/notebook95b46edc47", "kernel_id": "22646527"}, {"ref": "mymaitr/thesis-nn-bnn-glm", "kernel_id": "53867712"}]}
{"competition_id": "24772", "kernels": [{"ref": "aliechoes/knn-baseline", "kernel_id": "15840600"}]}
{"competition_id": "24776", "kernels": []}
{"competition_id": "24778", "kernels": [{"ref": "uozcan12/kisti-sejong-winterschool", "kernel_id": "13568818"}, {"ref": "daechanhan/kisti", "kernel_id": "13556710"}]}
{"competition_id": "24780", "kernels": []}
{"competition_id": "24796", "kernels": []}
{"competition_id": "24798", "kernels": [{"ref": "ssegui/notebook2859602776", "kernel_id": "13574413"}, {"ref": "paubernabe/p6-paubernabe", "kernel_id": "13783456"}, {"ref": "arnaurovira/p6-unsupervised-learning-arnau-rovira-avaluar", "kernel_id": "13967960"}, {"ref": "johnnync13/johnny-autoencoders", "kernel_id": "13603322"}, {"ref": "elenamora/p6-elenamora", "kernel_id": "13662250"}, {"ref": "juditramosol/p6-juditramo", "kernel_id": "13945715"}, {"ref": "carlamontserrat/project6-carlamontserrat", "kernel_id": "14275288"}, {"ref": "psafonga7/semi-supervised-learning-pol-safont", "kernel_id": "14214101"}, {"ref": "ojimenmu/project6notebook", "kernel_id": "14204466"}, {"ref": "oriolob/unsupervised-learning-v3", "kernel_id": "14214837"}, {"ref": "franchito55/franciscobarrio-p6", "kernel_id": "14063093"}, {"ref": "aaronperuga/aar-nperuga-aa-autoencoders", "kernel_id": "14229397"}, {"ref": "marcosplaza/proyecto6-marcosplazagonzalez", "kernel_id": "14014575"}, {"ref": "yusepp/p6-jos-manuel-l-pez", "kernel_id": "14223509"}, {"ref": "bernatosoriogomez1/notebook6-bernatosoriogomez", "kernel_id": "14235338"}, {"ref": "oscarfdezbatalla/oscarfernandez-unsupervised", "kernel_id": "14216731"}, {"ref": "ikerhonorato/iker-honorato-unsupervised-learning", "kernel_id": "14001288"}, {"ref": "xaviervalblasi/kaggle-project-6", "kernel_id": "14113911"}]}
{"competition_id": "24800", "kernels": [{"ref": "tikoboss/resized-images", "kernel_id": "11979649"}, {"ref": "abhishek/chest-generate-training-folds", "kernel_id": "13908193"}, {"ref": "francescotangari/notebookce8ce5f973", "kernel_id": "13910187"}, {"ref": "raddar/convert-dicom-to-np-array-the-correct-way", "kernel_id": "13908748"}, {"ref": "raddar/popular-x-ray-image-normalization-techniques", "kernel_id": "13908991"}, {"ref": "bjoernholzhauer/eda-dicom-reading-vinbigdata-chest-x-ray", "kernel_id": "13909721"}, {"ref": "shouvik19/intial-data-exploration", "kernel_id": "13928779"}, {"ref": "ayushggarg/chest-x-ray-abnormalities-detection-eda", "kernel_id": "13918763"}, {"ref": "pestipeti/vinbigdata-fasterrcnn-pytorch-inference", "kernel_id": "13910280"}, {"ref": "pestipeti/vinbigdata-fasterrcnn-pytorch-train", "kernel_id": "13907206"}, {"ref": "pestipeti/competition-metric-map-0-4", "kernel_id": "13978190"}, {"ref": "caseyw/dicom-data-get-patient-demographics", "kernel_id": "13962806"}, {"ref": "anubhav1302/quick-look-eda", "kernel_id": "13953513"}, {"ref": "msafi04/vbd-chestxray-visualize-with-boundingbox", "kernel_id": "13916425"}, {"ref": "chandraroy/plot-dicom-data-in-python", "kernel_id": "13908163"}, {"ref": "princejaiswal03/loading-and-plotting-the-dicom-file", "kernel_id": "13944659"}, {"ref": "docxian/vinbigdata-structural-aspects-of-training-data", "kernel_id": "13938834"}, {"ref": "hungnd11/eda-vinbigdata-chest-x-ray", "kernel_id": "13920106"}, {"ref": "gecb1609/chest-x-ray-abnormalities-detection-tf-keras", "kernel_id": "13977465"}, {"ref": "dschettler8845/visual-in-depth-eda-vinbigdata-competition-data", "kernel_id": "13969715"}, {"ref": "hamditarek/vinbigdata-chest-x-ray-abnormalities-detection", "kernel_id": "13907033"}, {"ref": "basu369victor/chest-x-ray-abnormalities-detection", "kernel_id": "13916455"}, {"ref": "minhtam/dicom-preprocess", "kernel_id": "13919684"}, {"ref": "craigmthomas/localization-of-findings", "kernel_id": "13949765"}, {"ref": "trungthanhnguyen0502/eda-vinbigdata-chest-x-ray-abnormalities", "kernel_id": "13912791"}, {"ref": "rsingh99/baseline-for-retinanet-detectron2", "kernel_id": "13925605"}, {"ref": "dhananjay3/vinbigdata-eda-all-you-need-to-know", "kernel_id": "13920053"}, {"ref": "xhlulu/vinbigdata-process-and-resize-to-jpg", "kernel_id": "13928467"}, {"ref": "xhlulu/vinbigdata-process-and-resize-original-ratio", "kernel_id": "13928476"}, {"ref": "xhlulu/vinbigdata-process-and-resize-to-image", "kernel_id": "13911534"}, {"ref": "xhlulu/vinbigdata-process-and-resize-to-png-1024x1024", "kernel_id": "13965637"}, {"ref": "xhlulu/vinbigdata-process-and-resize-to-png-256x256", "kernel_id": "13965646"}, {"ref": "mohaliy2016/vinbigdata-cxr-visualization", "kernel_id": "13958744"}, {"ref": "waelr1985/vinbigdata-chest-x-ray-abnormalities-detection", "kernel_id": "13908423"}, {"ref": "user123454321/fasterrcnn-starter", "kernel_id": "13949471"}, {"ref": "user123454321/fasterrcnn-starter-training", "kernel_id": "13950491"}, {"ref": "frlemarchand/maskrcnn-for-chest-x-ray-anomaly-detection", "kernel_id": "13911520"}, {"ref": "ajayago/vinbigdata-chest-x-ray-eda-and-bounding-box-plot", "kernel_id": "13951401"}, {"ref": "backtracking/fastest-convert-dicoms-to-images", "kernel_id": "13915114"}, {"ref": "backtracking/anchor-boxes-analysis-using-k-means", "kernel_id": "13914457"}, {"ref": "vineeth1999/vinbigdata-eda", "kernel_id": "13914611"}, {"ref": "ccollado7/vinbigdata-chest-x-ray-eda-starter", "kernel_id": "13908936"}, {"ref": "drcapa/chest-x-ray-starter", "kernel_id": "13907537"}, {"ref": "mahmoudvaziri/my-first-eda", "kernel_id": "13907059"}, {"ref": "doanquanvietnamca/tfrecords-create-from-dicom-to-image", "kernel_id": "13920547"}, {"ref": "cstungthanh/chest-x-ray-vinbigdata-dataset-analyst", "kernel_id": "13913545"}, {"ref": "dskagglemt/basic-understanding-on-dicom-convert-to-numpy", "kernel_id": "13929869"}, {"ref": "awsaf49/vinbigdata-cxr-ad-yolov5-14-class-infer", "kernel_id": "13933111"}, {"ref": "awsaf49/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "13924410"}, {"ref": "mostafaibrahim17/exploratory-data-analysis", "kernel_id": "13910070"}, {"ref": "rizdelhi/vinbigdata-chest-x-ray-multi-class-classification", "kernel_id": "13966502"}, {"ref": "ramitto/retinanet-for-x-ray", "kernel_id": "13911232"}, {"ref": "bibhash123/utilities-x-ray", "kernel_id": "13919167"}, {"ref": "bibhash123/chest-x-ray-abnormalities-baseline-tf-keras", "kernel_id": "13916775"}, {"ref": "bibhash123/dataset-preparation", "kernel_id": "13966592"}, {"ref": "mgmostafa/vinbigdata-eda-and-visualization", "kernel_id": "13962669"}, {"ref": "mrutyunjaybiswal/vbd-chest-x-ray-abnormalities-detection-eda", "kernel_id": "13907911"}, {"ref": "tathagatbanerjee/chest-xray-starter-code", "kernel_id": "13908385"}, {"ref": "angieashraf/eda-vinbigdata-chest-x-ray", "kernel_id": "13918897"}, {"ref": "albertozorzetto/chest-x-ray-abnormalities-w-yolov5", "kernel_id": "13941666"}, {"ref": "yerramvarun/pytorch-fasterrcnn-with-group-kfold-14-class", "kernel_id": "13928729"}, {"ref": "digvijayyadav/exploring-vinbigdata-groupkfold", "kernel_id": "13920297"}, {"ref": "debarshichanda/vinbigdata-chest-x-ray-eda-with-plotly", "kernel_id": "13908042"}, {"ref": "tomonorisasaki/eda-of-vinbigdata-chest-x-ray-abnormalities-detect", "kernel_id": "13989795"}, {"ref": "garrettwankel/chest-xray-notebook", "kernel_id": "13966614"}, {"ref": "akulasuryaprakash/mask-rcnn", "kernel_id": "13996947"}, {"ref": "hieutrluu/vinbdi-chestxray-eda", "kernel_id": "13913260"}, {"ref": "lakitha/chestxraycompetetion", "kernel_id": "13913415"}, {"ref": "anantgupt/chest-x-ray-abnormalities-doctor-eda", "kernel_id": "13915400"}, {"ref": "robertlangdonvinci/vinbigdata-chest-abnormalities-detection-fastai", "kernel_id": "13945996"}, {"ref": "robertlangdonvinci/image-resized-256-parallel-processing", "kernel_id": "13908243"}, {"ref": "hungkhoi/visualize-vinbd-chest-x-ray-abnormalities-detect", "kernel_id": "13915889"}, {"ref": "sakuraandblackcat/chest-x-ray-knowledges-for-the-14-abnormalities", "kernel_id": "13908573"}, {"ref": "sakuraandblackcat/chest-x-ray-14", "kernel_id": "13952911"}, {"ref": "zehuigong/hubmap-submission-withcsv", "kernel_id": "13825643"}, {"ref": "rick0011/missing-values-and-dicom-files-eda", "kernel_id": "13926212"}, {"ref": "paulreiners/2-prepare-dicom-images-for-ml", "kernel_id": "14085687"}, {"ref": "notvuvko/vinbigdata-process-and-resize-original-ratio", "kernel_id": "14058283"}, {"ref": "saurabhbagchi/multinomial-logistic-regression-for-beginners", "kernel_id": "14734656"}, {"ref": "adnaiksachin25/modeling-abnormalities-features-extraction", "kernel_id": "14618676"}, {"ref": "rbhambri/chest-x-ray-abnormalities-bams-keras-pipeline", "kernel_id": "14409002"}, {"ref": "rbhambri/visual-in-depth-eda-vinbigdata-competition-data", "kernel_id": "14261921"}, {"ref": "rbhambri/eda-vinbigdata-chest-x-ray-abnormalities", "kernel_id": "14261619"}, {"ref": "bjoernholzhauer/finding-data-issues-and-mislabeled-bounding-boxes", "kernel_id": "14265036"}, {"ref": "bjoernholzhauer/vinbigdata-chest-x-ray-comparing-dataloader-speed", "kernel_id": "14204427"}, {"ref": "corochann/vinbigdata-2-class-classifier-complete-pipeline", "kernel_id": "14335684"}, {"ref": "corochann/vinbigdata-detectron2-prediction", "kernel_id": "14163962"}, {"ref": "corochann/vinbigdata-detectron2-train", "kernel_id": "14153829"}, {"ref": "corochann/vinbigdata-create-test-meta", "kernel_id": "14124393"}, {"ref": "corochann/preprocessing-image-original-size-lossless-png", "kernel_id": "14945584"}, {"ref": "its7171/map-understanding-with-code-and-its-tips", "kernel_id": "14683131"}, {"ref": "kamaljain77/vinbigdata-chest-x-ray-abnormalities-detection", "kernel_id": "14084813"}, {"ref": "nonserial/pytorch-dataset-io-simpleitk-monai-transforms", "kernel_id": "14427224"}, {"ref": "bryanb/vinbigdata-chest-x-ray-eda-fusing-boxes", "kernel_id": "14376111"}, {"ref": "bryanb/vinbigdata-chest-x-ray-ensembling-approach", "kernel_id": "14539422"}, {"ref": "kailassrt/faster-rcnn", "kernel_id": "14269192"}, {"ref": "hasangoni/bbox-fusion-diff-r-diff-clas-in-same-image", "kernel_id": "14066334"}, {"ref": "uncletito727/chest-x-ray-custom-yolov5", "kernel_id": "14375447"}, {"ref": "ayadiamira/vinbigdata-cxr-a-complete-guide-part-1-intro", "kernel_id": "14170407"}, {"ref": "mosthusnejahan/tf2-object-detection-api-efficientdet", "kernel_id": "14500823"}, {"ref": "gauravsingh1/mmdet-pytorch-framework-training-fasterrcnn-base", "kernel_id": "14792251"}, {"ref": "gauravsingh1/bbox-level-dataaugmentation", "kernel_id": "14710857"}, {"ref": "gauravsingh1/augmentation-eda-umap-vinbigdata", "kernel_id": "14417126"}, {"ref": "kvsnoufal/custom-training-loop-with-detectron2-score-0-2", "kernel_id": "14800560"}, {"ref": "sefika/vinbigdata-competition-overfitters", "kernel_id": "14784098"}, {"ref": "mariazorkaltseva/vinbigdata-eda-faster-rcnn-icevision-training", "kernel_id": "14036616"}, {"ref": "mariazorkaltseva/vinbigdata-eda-faster-rcnn-icevision-inference", "kernel_id": "14094659"}, {"ref": "skooch/downsizeimages2x", "kernel_id": "14222717"}, {"ref": "muhammadhamzasabir/dicom-to-array", "kernel_id": "14924983"}, {"ref": "chekoduadarsh/pytorch-beginner-code-faster-rcnn", "kernel_id": "14965010"}, {"ref": "dschettler8845/vinbigdata-convert-annotations-to-pascal-voc-xml", "kernel_id": "14014734"}, {"ref": "guluna/eda-cxr", "kernel_id": "14507712"}, {"ref": "basu369victor/chest-x-ray-abnormality-detection-yolo-v3-infer", "kernel_id": "14524087"}, {"ref": "basu369victor/chest-x-ray-abnormality-detection-with-yolo-v3", "kernel_id": "14318995"}, {"ref": "basu369victor/chest-x-ray-abnormalities-detection-submission", "kernel_id": "14135066"}, {"ref": "pawanbhandarkar/unet-experiments-cuda-out-of-memory", "kernel_id": "14523228"}, {"ref": "shashankrrr/notebook14ebee9cb1", "kernel_id": "14850481"}, {"ref": "ghaiyur/vinbigdata-2-class-versiongg", "kernel_id": "14752287"}, {"ref": "beezus666/chest-x-ray-with-fastai-v2", "kernel_id": "14834465"}, {"ref": "zubairashfaque/in-depth-eda-vinbigdata-competition-data", "kernel_id": "14143761"}, {"ref": "redomy/eda-cropping", "kernel_id": "14111180"}, {"ref": "redomy/notebooka5d14e655b", "kernel_id": "14202629"}, {"ref": "bhallaakshit/dicom-to-jpeg-using-tf2", "kernel_id": "14430866"}, {"ref": "bhallaakshit/eda-and-preprocessing-for-tf2-object-detection", "kernel_id": "14351610"}, {"ref": "bhallaakshit/dicom-wrangling-and-enhancement", "kernel_id": "14578015"}, {"ref": "bhallaakshit/medical-image-processing", "kernel_id": "14650247"}, {"ref": "bhallaakshit/dicom-training-prediction-and-evaluation", "kernel_id": "14552735"}, {"ref": "asimzahid/all-you-need-to-know-about-dicom", "kernel_id": "14622539"}, {"ref": "anhlv2312/vinbigdata-crop-and-resize-x-ray-images", "kernel_id": "14051711"}, {"ref": "sourabhchauhan/train-vinbigdata-detectron2-weights-and-biases", "kernel_id": "14781669"}, {"ref": "sourabhchauhan/inference-vbd-detectron2", "kernel_id": "14712343"}, {"ref": "sourabhchauhan/chest-x-ray-abnormalities-eda-box-fuse-skew", "kernel_id": "14576522"}, {"ref": "jamsilkaggle/quick-data-analysis-with-yolov5-at-a-glance", "kernel_id": "14730111"}, {"ref": "jamsilkaggle/vinbigdata-yolov5-evaluation", "kernel_id": "14967660"}, {"ref": "fireheart7/vinbigdata-eda", "kernel_id": "14265293"}, {"ref": "mrinath/2-class-classifier-pipeline-using-effnet", "kernel_id": "14914600"}, {"ref": "anirbansen3027/vinbigdata-beginner-preprocessing", "kernel_id": "14876637"}, {"ref": "anirbansen3027/vinbigdata-binaryclassificationpytorch-v1", "kernel_id": "14881612"}, {"ref": "soumochatterjee/xray-object-detection", "kernel_id": "14129538"}, {"ref": "quillio/fast-dicom-to-pandas-dataframe", "kernel_id": "14112465"}, {"ref": "quillio/vindr-bounding-box-fusion", "kernel_id": "14263432"}, {"ref": "mistag/data-create-tfrecords-of-vinbigdata-chest-x-rays", "kernel_id": "14063934"}, {"ref": "mistag/train-vinbigdata-tf-object-detection-api", "kernel_id": "14090296"}, {"ref": "lazcoder/object-detection-api-effdet-b0-custom-training", "kernel_id": "14282054"}, {"ref": "hannes82/vision-transformer-trained-from-scratch-pytorch", "kernel_id": "14457931"}, {"ref": "adrihasfi/vinbigdata-chest-xray-abnormality-eda", "kernel_id": "14386017"}, {"ref": "ikraminf/chest-x-ray-abnormalities-detection-dicom-reader", "kernel_id": "14875908"}, {"ref": "fold10/show-chest-x-rays-and-their-bboxes", "kernel_id": "14129593"}, {"ref": "wonjunpark/eda-vinbigdata-chest-x-ray-abnormalities-kor", "kernel_id": "14424809"}, {"ref": "wonjunpark/vinbigdata-detectron2-train-using-nih-dataset", "kernel_id": "14730614"}, {"ref": "backtracking/bounding-boxes-optimization", "kernel_id": "14225207"}, {"ref": "backtracking/efficientdet-inference", "kernel_id": "14019243"}, {"ref": "backtracking/efficient-det-training", "kernel_id": "14009349"}, {"ref": "backtracking/smart-data-split-train-eval-for-object-detection", "kernel_id": "14046594"}, {"ref": "harisme/split-keeping-same-image-entries-at-same-fold", "kernel_id": "14395294"}, {"ref": "deepankarchakraborty/vinbigdata-complete-pipeline", "kernel_id": "14855893"}, {"ref": "deepankarchakraborty/vinbigdata-detectron2-prediction", "kernel_id": "14379979"}, {"ref": "soccerguy282/yolov5-tensorflow-dataloader-debugged-fully", "kernel_id": "14781768"}, {"ref": "khaledmgamal/vinbigdata-yolov5", "kernel_id": "14848746"}, {"ref": "morizin/vinbigdata-yolo-inference", "kernel_id": "14281621"}, {"ref": "morizin/14-class-efficientdet-detection-train", "kernel_id": "14144128"}, {"ref": "doanquanvietnamca/vinbigdata-detectron2-prediction", "kernel_id": "14587727"}, {"ref": "wguesdon/vinbigdata-data-preparation-1024-wg", "kernel_id": "14769251"}, {"ref": "awsaf49/vinbigdata-2-class-filter", "kernel_id": "14142601"}, {"ref": "pratapchdas/pratap-shailender-s-notebook", "kernel_id": "14728172"}, {"ref": "mostafaibrahim17/facebook-detr", "kernel_id": "14850291"}, {"ref": "mostafaibrahim17/detr-vin-2", "kernel_id": "14852362"}, {"ref": "mostafaibrahim17/yolov5-vinbigdata", "kernel_id": "14759465"}, {"ref": "mostafaibrahim17/yolov5", "kernel_id": "14699610"}, {"ref": "dawy94/submission", "kernel_id": "14482346"}, {"ref": "dawy94/training-draft", "kernel_id": "14456170"}, {"ref": "dawy94/fasterrcnn-resnet50-train-draft-v0", "kernel_id": "14517922"}, {"ref": "deshwalmahesh/rnn-you-ve-been-reading-it-the-wrong-way", "kernel_id": "14465441"}, {"ref": "deshwalmahesh/you-ve-been-looking-at-the-cnn-the-wrong-way", "kernel_id": "14421837"}, {"ref": "akashadesai/vinbigdata-all-you-need-to-know-eda", "kernel_id": "14444130"}, {"ref": "mgmostafa/vinbigdata-reading-dicom-attributes-the-right-way", "kernel_id": "14151594"}, {"ref": "anaselmasry/vinbigdata-chest-x-ray-abnormalities-detection", "kernel_id": "14038490"}, {"ref": "solosquad1999/vinbigdata-inference-efficientnet-2-classes", "kernel_id": "14165481"}, {"ref": "solosquad1999/vinbigdata-train-efficientnet-2-classes", "kernel_id": "14170194"}, {"ref": "simonstadlinger/vinbig-competition3-poc", "kernel_id": "14496287"}, {"ref": "tikoboss/notebook34cc7a207f", "kernel_id": "14719874"}, {"ref": "seokhyunseo/256-vs-512-vs-1024-which-dataset-is-useful", "kernel_id": "14728425"}, {"ref": "seokhyunseo/clahe-dataset-maker", "kernel_id": "14838139"}, {"ref": "yerramvarun/learnable-histograms-implementation", "kernel_id": "14594193"}, {"ref": "akhileshdkapse/nih-x-ray-multilabel-classification-tpu-guide", "kernel_id": "14748712"}, {"ref": "akhileshdkapse/efficientdet-keras", "kernel_id": "14220718"}, {"ref": "akhileshdkapse/vinbigdata-retinanet-detection-training", "kernel_id": "14076016"}, {"ref": "akhileshdkapse/vinbigdata-retinanet-detection-inference", "kernel_id": "14100954"}, {"ref": "akhileshdkapse/creating-whl-file-retinanet", "kernel_id": "14099250"}, {"ref": "srija0905/chest-x-ray-abnormalities-eda", "kernel_id": "14264990"}, {"ref": "skydevour/preprocessing-dicom-data-eda", "kernel_id": "14556014"}, {"ref": "debarshichanda/seresnext50-but-with-attention", "kernel_id": "14997696"}, {"ref": "alincijov/chest-x-ray-abnormalities-pytorch-fasterrcnn", "kernel_id": "14251939"}, {"ref": "velody/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "14251027"}, {"ref": "rahools/checking-data-out", "kernel_id": "14304393"}, {"ref": "stanleyjzheng/vbd-convert-labels-to-yolo-yolov4", "kernel_id": "14783671"}, {"ref": "vyombhatia/object-detection-is-cool", "kernel_id": "14338413"}, {"ref": "sreevishnudamodaran/effdet-pytorch-cutmix-mixup-kfold-cosanneal", "kernel_id": "14353069"}, {"ref": "sreevishnudamodaran/vinbigdata-fusing-bboxes-coco-dataset", "kernel_id": "14030026"}, {"ref": "sreevishnudamodaran/vbd-efficientdet-tf2-object-detection-api", "kernel_id": "14142201"}, {"ref": "blancacabrera/easy-bounding-box-plots", "kernel_id": "14171008"}, {"ref": "daiquoctran/inference-maskrcnn", "kernel_id": "14529941"}, {"ref": "hiicao/dicom-metadata-to-pandasframe", "kernel_id": "14048121"}, {"ref": "akulasuryaprakash/unet-model", "kernel_id": "14664246"}, {"ref": "leftyork/vinbigdata-cxr-ad-yolov5-14-class-infer-f2d2ca", "kernel_id": "14885938"}, {"ref": "leftyork/vinbigdata-cxr-ad-yolov5-14-class-train-f9ce38", "kernel_id": "14884790"}, {"ref": "leftyork/vinbigdata-2-class-filter", "kernel_id": "14662305"}, {"ref": "leftyork/vinbigdata-2-class-classifier-complete-pipeline", "kernel_id": "14661908"}, {"ref": "leftyork/error-infer", "kernel_id": "14640719"}, {"ref": "leftyork/visual-in-depth-eda-vinbigdata-competition-data", "kernel_id": "14559999"}, {"ref": "leftyork/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "14602689"}, {"ref": "sheldonsebastian/image-preprocessor-512", "kernel_id": "14112096"}, {"ref": "anhnglinh/abnormalities-detection-using-yolov4", "kernel_id": "14985461"}, {"ref": "lqkustc/vinbigdata-cxr-ad-yolov5-14-class-infer", "kernel_id": "14669074"}, {"ref": "lqkustc/vinbigdata-2-class-classifier-complete-pipeline", "kernel_id": "14684702"}, {"ref": "klawensliu/mmdetection-0-260-baseline", "kernel_id": "14861143"}, {"ref": "suanbaicai/how-to-get-width-and-height", "kernel_id": "14463359"}, {"ref": "thuando/vinbigdata-chest-x-ray-eda-fusing-bboxes", "kernel_id": "14365268"}, {"ref": "nabilatasnim/inception-resnet-v2", "kernel_id": "14924120"}, {"ref": "nabilatasnim/ensemble-of-4-models", "kernel_id": "14938828"}, {"ref": "chienhsianghung/tps-apr-lgbm-catboost-decisiontree-pseudo", "kernel_id": "14409605"}, {"ref": "tutuzhang/lemon-cls", "kernel_id": "14862051"}, {"ref": "kimse0ha/vinbigdata-eda-infer-analysis-with-yolov5", "kernel_id": "14800954"}, {"ref": "kazegami/select-data-by-class", "kernel_id": "14071883"}, {"ref": "abdelrahmanhabib/yolo-infererence", "kernel_id": "14845603"}, {"ref": "abdelrahmanhabib/yolo-train", "kernel_id": "14739215"}, {"ref": "arunpatreyalabs/tf-record-creator", "kernel_id": "14346788"}, {"ref": "phoenixdem/vinbigdata-detectron2-prediction", "kernel_id": "14377825"}, {"ref": "ahmed94eldawy/train-fold-v1", "kernel_id": "14631823"}, {"ref": "ahmed94eldawy/vinbigdata-256-yolov5-14-class-18-batch-train", "kernel_id": "14747979"}, {"ref": "ahmed94eldawy/vinbigdata-cxr-ad-yolov5-14-class-infer", "kernel_id": "14846676"}, {"ref": "kuuuuub/which-x-ray-preprocessing-performs-well", "kernel_id": "14993902"}, {"ref": "kuuuuub/x-ray-image-enhancement-test", "kernel_id": "14816489"}, {"ref": "boringgame/vinbigdata-cxr-ad-yolov5-14-class-infer-f2d2ca", "kernel_id": "14811035"}, {"ref": "boringgame/intersection", "kernel_id": "14815860"}, {"ref": "boringgame/tarin-module-mass", "kernel_id": "14884860"}, {"ref": "boringregister/vinbigdata-cxr-ad-yolov5-14-class-infer", "kernel_id": "14885155"}, {"ref": "boringregister/vinbigdata-cxr-ad-yolov5-14-class-train-softnms", "kernel_id": "14877930"}, {"ref": "leesmallustc/vinbigdata-2-class-classifier-complete-pipeline", "kernel_id": "14703563"}, {"ref": "shash152543/trying", "kernel_id": "15760342"}, {"ref": "sandeepritu/zero-from-dicom-to-jpeg", "kernel_id": "15639119"}, {"ref": "saurabhbagchi/ensemble-of-best-public-notebooks", "kernel_id": "15634270"}, {"ref": "crained/vinbigdata-fastai-get-started", "kernel_id": "15042766"}, {"ref": "rbhambri/prediction-pipeline-densenet-model-on-test", "kernel_id": "15855858"}, {"ref": "rbhambri/chest-x-ray-abnormalities-densenet-pipeline", "kernel_id": "15060454"}, {"ref": "adebayo/vinbigdata-detecting-chest-x-ray-abnormalies", "kernel_id": "15843680"}, {"ref": "fatihozturk/class-based-fusing", "kernel_id": "15918641"}, {"ref": "gauravsingh1/mmdet-classification-resnext", "kernel_id": "15722122"}, {"ref": "gauravsingh1/mmdet-cascadercnnx", "kernel_id": "15879466"}, {"ref": "gauravsingh1/mmdet-eval-fasterrcnn-with-wbf", "kernel_id": "15052212"}, {"ref": "gauravsingh1/confluence-new-way-for-fusing-bbox", "kernel_id": "15320389"}, {"ref": "prashantkikani/vinbigdata-ensemble-post-processing", "kernel_id": "15408748"}, {"ref": "kc3222/mmdet-pytorch-framework-infer-vfnet", "kernel_id": "15707147"}, {"ref": "skooch/vinbigdata-process-and-resize-to-png-1536x1536", "kernel_id": "15223858"}, {"ref": "raivokoot/plot-images-bounding-boxes-visualization", "kernel_id": "15495419"}, {"ref": "pvtien96/vinbigdata-2-class-classifier-complete-pipeline", "kernel_id": "15453967"}, {"ref": "pvtien96/vinbigdata-detectron2-prediction", "kernel_id": "15453535"}, {"ref": "shemskurtoglu/chest-xray-abnormalities-detection", "kernel_id": "15679515"}, {"ref": "shantanu778/vinbigdata-train-yolo", "kernel_id": "15337188"}, {"ref": "vbmokin/ensemble-of-best-notebooks-tuning-by-lb-private", "kernel_id": "15811582"}, {"ref": "shashankrrr/notebook6cb204ceb4", "kernel_id": "15415047"}, {"ref": "tkarahan/chest-x-ray-abnormalities-detection-with-pytorch", "kernel_id": "15090617"}, {"ref": "darshanpatel11/2class-filter-on-yolo-v5-post-processing", "kernel_id": "15428479"}, {"ref": "sj161199/vinbigdata-cxr-ad-yolov5-14-class-infer", "kernel_id": "15187208"}, {"ref": "mahmudds/vinbigdata-chest-x-ray-abnormalities-detection", "kernel_id": "15690863"}, {"ref": "nxhong93/yolov5-chest-512", "kernel_id": "15355654"}, {"ref": "nxhong93/yolov5-train-1024", "kernel_id": "15097254"}, {"ref": "himakshi2110/visualization-of-area-histogram-bounding-box", "kernel_id": "15443342"}, {"ref": "himakshi2110/cropping-chest-xray-based-on-lungs-segmentation", "kernel_id": "15477924"}, {"ref": "c7934597/vinbigdata-2-class-classifier-complete-pipeline", "kernel_id": "15517520"}, {"ref": "johanngerberding/x-ray-analysis", "kernel_id": "15361708"}, {"ref": "nandini1999/chest-xray-abnormalities-get-started-with-eda", "kernel_id": "15041149"}, {"ref": "anirbansen3027/vinbigdata-fasterrcnn-beginner-v1", "kernel_id": "15058607"}, {"ref": "sapthrishi007/torch-trainer-cbamresnet50-gradcam", "kernel_id": "15718311"}, {"ref": "shaharaz/notebookf23353eb9d", "kernel_id": "15412995"}, {"ref": "socom20/effdet-inference", "kernel_id": "15988828"}, {"ref": "yohehe/1-data-augmentation", "kernel_id": "15627461"}, {"ref": "yohehe/2-1-model-train-with-efficientdet-pytorch", "kernel_id": "15683589"}, {"ref": "ricafernandes/vinbigdata-process-and-resize-to-png-384x384", "kernel_id": "15976179"}, {"ref": "ricafernandes/detectron-v2-inference", "kernel_id": "15849343"}, {"ref": "rxngrxng/faster-r-cnn", "kernel_id": "15528206"}, {"ref": "rajuyadav7532/simple-eda-pre-processing-detection-model", "kernel_id": "15539989"}, {"ref": "muhammad4hmed/lets-overfit-together", "kernel_id": "15534350"}, {"ref": "khaledmgamal/detectron2-vinbigdata", "kernel_id": "15196702"}, {"ref": "khaledmgamal/classifier-2-classes-vinbigdata", "kernel_id": "15790807"}, {"ref": "morizin/vinbigdata-cxr-ad-yolov5-14-class-infer-184dd1", "kernel_id": "15594859"}, {"ref": "morizin/vinbigdata-cxr-ad-yolov5-14-class-train-4de71f", "kernel_id": "15432930"}, {"ref": "morizin/wbf-ensemble", "kernel_id": "15367478"}, {"ref": "mostafaibrahim17/yolov5-with-2-class-filter", "kernel_id": "15305019"}, {"ref": "prasrahul/vbd-efficientdet-tf2-object-detection-api", "kernel_id": "15087102"}, {"ref": "soudainchat/eda-train-csv", "kernel_id": "15286432"}, {"ref": "morenovanton/vinbigdata-2class-classification-with-model-keras", "kernel_id": "15362871"}, {"ref": "morenovanton/vinbigdata-chest-x-ray-convert-resize-image-to-png", "kernel_id": "15304635"}, {"ref": "ramitto/dicom-to-512jpg-train", "kernel_id": "15044661"}, {"ref": "ramitto/dicom-to-512jpg-test", "kernel_id": "15160985"}, {"ref": "syrusmathew/syrus-mathew", "kernel_id": "15099549"}, {"ref": "maudcharbonneau/vinbigdata-chest-x-ray-eda-efficientnetb0", "kernel_id": "15813333"}, {"ref": "toshihideyukitake/notebookd65c6571e1", "kernel_id": "15123857"}, {"ref": "readoc/vinbig-yolo-train", "kernel_id": "15529751"}, {"ref": "finsker/statistics", "kernel_id": "15368145"}, {"ref": "huynhmanhhung/huynhmanhhungcxr-ad-yolov5-14-class-train", "kernel_id": "15790656"}, {"ref": "sameensalam/dicom-2-png", "kernel_id": "15158450"}, {"ref": "hvnhin/tf-train", "kernel_id": "15839906"}, {"ref": "zcsong/vinbigdata-yolov5-infer", "kernel_id": "15189830"}, {"ref": "zcsong/yolov5x6-train-afternms", "kernel_id": "15405002"}, {"ref": "seokhyunseo/let-s-use-mmdetections-different-models", "kernel_id": "15222771"}, {"ref": "seokhyunseo/let-s-use-artificial-dataset", "kernel_id": "15511304"}, {"ref": "akhileshdkapse/learn-image-embedding-via-unet-tpu-part-i", "kernel_id": "15671055"}, {"ref": "yiqixue/vinbigdata-2-class-classifier-complete-pipeline", "kernel_id": "15396933"}, {"ref": "sunghyunjun/91th-place-vbd-inference-clf-det-and-det-all", "kernel_id": "15914249"}, {"ref": "shayantaherian/pytorch-abnormality-detection", "kernel_id": "15371378"}, {"ref": "tanguyperennec/post-prod", "kernel_id": "15608924"}, {"ref": "duythanhng/vinbigdata-yolov5-16-class", "kernel_id": "15420328"}, {"ref": "duythanhng/take-the-average-of-the-coordinates-using-iou", "kernel_id": "15096983"}, {"ref": "sanjayarvind/fasterrcnn-pytorch-lightning", "kernel_id": "15896932"}, {"ref": "witalia/vinbigdata-parse-dicom-tags", "kernel_id": "15285260"}, {"ref": "lucamarradi/vinbigdata-2-class-classifier-complete-pi-963f84", "kernel_id": "15693338"}, {"ref": "madao233/vinbigdata-starter-ver-1-0", "kernel_id": "15078114"}, {"ref": "kyuhwanjung2/dl-03-14-03-21-03-25-03-31", "kernel_id": "15510823"}, {"ref": "kyuhwanjung2/dl-03-04-03-09-03-14", "kernel_id": "15303319"}, {"ref": "leftyork/chest-fix", "kernel_id": "15442589"}, {"ref": "leftyork/tarin-module-mass", "kernel_id": "15109716"}, {"ref": "rajeshtata/tatarajesh-chest-x-ray", "kernel_id": "15446466"}, {"ref": "robertlangdonvinci/fast-easy-vinbigdata-imgx512", "kernel_id": "15302672"}, {"ref": "alyzehfahim/notebook9267e869bf", "kernel_id": "15808622"}, {"ref": "alyzehfahim/notebookf3034e8ea8", "kernel_id": "15492205"}, {"ref": "kanhaiyapandey/vindata", "kernel_id": "15103253"}, {"ref": "kanhaiyapandey/vin-bid2", "kernel_id": "15653277"}, {"ref": "yujianxue/vinbigdata-yolov5-evaluation", "kernel_id": "15266132"}, {"ref": "lqkustc/notebook9555a01720", "kernel_id": "15222139"}, {"ref": "lqkustc/mmdet-pytorch-framework-training-fasterrcnn-base", "kernel_id": "15132725"}, {"ref": "klawensliu/vinbigdata-train-efficientnet-2-classes", "kernel_id": "15732894"}, {"ref": "mesparky/vinbigdata-chest-xray-object-detection", "kernel_id": "15618291"}, {"ref": "h053473666/0-286-norm-15class", "kernel_id": "15926592"}, {"ref": "h053473666/0-284rcnn-norm-14class-1", "kernel_id": "15844942"}, {"ref": "h053473666/0318-5", "kernel_id": "15602123"}, {"ref": "h053473666/plot-bounding-box-1024-jpg", "kernel_id": "15110620"}, {"ref": "h053473666/vinbigdata-detect-the-heart-and-lungs", "kernel_id": "15255590"}, {"ref": "yehhuan/vinbigdata-detect-the-heart-and-lungs-use-fold-2", "kernel_id": "15296469"}, {"ref": "nobatgeldi/vinbigdata-class-classifier", "kernel_id": "15001157"}, {"ref": "nobatgeldi/vinbigdata-chest-x-ray-abnormalities-detection", "kernel_id": "15891143"}, {"ref": "mohamedbakrey/analysis-reddit-vaccine-myths", "kernel_id": "15428777"}, {"ref": "ivanivago/mmdet-pytorch-framework-training-fasterrcnn-base", "kernel_id": "15285221"}, {"ref": "minhvuvn/dicom-wrangling-and-enhancement", "kernel_id": "15884085"}, {"ref": "abdelrahmanhabib/ensembling-approach", "kernel_id": "15141333"}, {"ref": "ahmed94eldawy/vinbigdata-chest-x-ray-ensembling-approach", "kernel_id": "15329986"}, {"ref": "boringgame/chest-fix", "kernel_id": "15409246"}, {"ref": "boringgame/chest-fix-b7b03d", "kernel_id": "15526488"}, {"ref": "leesmallustc/chest-fix-b7b03d", "kernel_id": "15625766"}, {"ref": "reyadhussien/pytorch-faster-rcnn", "kernel_id": "15175163"}, {"ref": "giaminhhoang/vinbigdata-final-train-version", "kernel_id": "15896612"}, {"ref": "giaminhhoang/vinbigdata-yolov5-train", "kernel_id": "15834370"}, {"ref": "yongbuyanqi/yolo-inference", "kernel_id": "15412476"}, {"ref": "yongbuyanqi/yolo-4", "kernel_id": "15408606"}, {"ref": "adiganti/eda-jcomp", "kernel_id": "15558784"}, {"ref": "hammadhsn/test-x-ray", "kernel_id": "15721191"}, {"ref": "explorerboi/vinbig-yolo-train", "kernel_id": "15530852"}, {"ref": "explorerboi/vinbig-2-class-train-main", "kernel_id": "15624409"}, {"ref": "explorerboi/detectron-2-2nd-attempt", "kernel_id": "15624187"}, {"ref": "explorerboi/detectron2-train-main", "kernel_id": "15609563"}, {"ref": "zfturbo/retinanet-results-ensemble", "kernel_id": "16398903"}, {"ref": "zfturbo/inference-zfturbo-retina-1-fold-1", "kernel_id": "16379159"}, {"ref": "zfturbo/inference-zfturbo-retina-1-fold-3", "kernel_id": "16379337"}, {"ref": "zfturbo/inference-zfturbo-retina-1-fold-4", "kernel_id": "16379341"}, {"ref": "zfturbo/inference-zfturbo-retina-1-fold-2", "kernel_id": "16379195"}, {"ref": "zfturbo/inference-zfturbo-retina-2-fold-0", "kernel_id": "16379419"}, {"ref": "zfturbo/inference-zfturbo-retina-2-fold-1", "kernel_id": "16379554"}, {"ref": "zfturbo/inference-zfturbo-retina-2-fold-2", "kernel_id": "16379612"}, {"ref": "zfturbo/inference-zfturbo-retina-2-fold-3", "kernel_id": "16379621"}, {"ref": "zfturbo/inference-zfturbo-retina-2-fold-4", "kernel_id": "16379635"}, {"ref": "zfturbo/yolo-v5-merge-predictions-zfturbo", "kernel_id": "16375186"}, {"ref": "zfturbo/yolo-v5-zfturbo-code", "kernel_id": "16368259"}, {"ref": "zfturbo/inference-zfturbo-retina-1-fold-0", "kernel_id": "16344473"}, {"ref": "kyawkyaw/vinbigdata-chest-x-ray-abnormalities-classifier", "kernel_id": "16322364"}, {"ref": "kyawkyaw/vinbigdata-x-ray-chest-abnormalities-detection", "kernel_id": "16361285"}, {"ref": "fatihozturk/vinbigdata-2-class-classifier-complete-pi-b90290", "kernel_id": "16135275"}, {"ref": "erniechiew/vinbigdata-3rd-place-sol-aortic-specialist", "kernel_id": "16374920"}, {"ref": "erniechiew/vinbigdata-3rd-place-sol-cls10-replacement", "kernel_id": "16482296"}, {"ref": "kc3222/final-vinbigdata-detectron2-prediction", "kernel_id": "16404116"}, {"ref": "kc3222/final-vinbigdata-cxr-ad-yolov5-v4-0-infer", "kernel_id": "16399645"}, {"ref": "kc3222/final-vinbigdata-2-class-filter", "kernel_id": "16408573"}, {"ref": "ivanpan/vinbindata-inference-2nd-place", "kernel_id": "16342549"}, {"ref": "ivanpan/fork-of-vinbindata-inference-2nd-place-53bee2", "kernel_id": "16447762"}, {"ref": "socom20/effdet-v2", "kernel_id": "16003452"}, {"ref": "socom20/ensemble-323", "kernel_id": "16155218"}, {"ref": "morizin/fork-of-wbf-ensemble-d64644", "kernel_id": "16138124"}, {"ref": "morizin/ensemble331-remake", "kernel_id": "16066508"}, {"ref": "morizin/vinbigdata-yolo-training", "kernel_id": "16003251"}, {"ref": "ankit0204/eda-jcomp", "kernel_id": "16230441"}, {"ref": "virajkadam/x-ray-reading-and-bounding-boxes", "kernel_id": "16047464"}, {"ref": "nipawar/vinbigdata-chest-x-ray-ensembling-approach", "kernel_id": "16644742"}, {"ref": "nipawar/vinbigdata-detectron2-prediction-model", "kernel_id": "16514726"}, {"ref": "juliozambranoxyz/chest-x-ray-vinbigdata-2-class-versiongg", "kernel_id": "16620990"}, {"ref": "eunicepark0328/pytorch-fasterrcnn-with-group-kfold-14-class", "kernel_id": "16838594"}, {"ref": "minhnghia/ai-tdm", "kernel_id": "16674197"}, {"ref": "rossrobotics/identifying-abnormalities-in-chest-xrays-using-rpn", "kernel_id": "16922531"}, {"ref": "manhduong199/chestx-ray", "kernel_id": "16681233"}, {"ref": "stamatelou/detr-thoracic-abnormalities-detection", "kernel_id": "17179425"}, {"ref": "ankit0204/eda-solution", "kernel_id": "17217718"}, {"ref": "awsaf49/siim-covid-19-yolov5-image-level-train", "kernel_id": "17071094"}, {"ref": "kostiantynperun/chest-x-ray-starter", "kernel_id": "17183326"}, {"ref": "millenajena1/eda-solution", "kernel_id": "17316454"}, {"ref": "oferspivak/detectron2-floor-plan-train", "kernel_id": "17917420"}, {"ref": "prismwinter/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "18717018"}, {"ref": "tikoboss/images-extractor-script", "kernel_id": "18589582"}, {"ref": "abhishekprajapat/analysing-effects-of-pretraining", "kernel_id": "18418843"}, {"ref": "soomin123/210721-dicom", "kernel_id": "18722955"}, {"ref": "ahmedsabrytamam/eda-solution", "kernel_id": "18512304"}, {"ref": "minhvuvn/vinbigdata-2-class-classifier-complete-pipeline", "kernel_id": "18118231"}, {"ref": "monahendawi/yolov5-chest-512", "kernel_id": "18281259"}, {"ref": "monahendawi/vinbigdata-cxr-ad-yolov5", "kernel_id": "18289620"}, {"ref": "akarshrastogi/kaggle-module-test", "kernel_id": "18677232"}, {"ref": "mostafa3wahmed/chestx-ray-mostafa", "kernel_id": "19701587"}, {"ref": "shivamkc3/chest-xray-abnormalities-detection-creating-folds", "kernel_id": "19606409"}, {"ref": "nasrulhakim86/localize-thoracic-abnormalities", "kernel_id": "19524910"}, {"ref": "pvtien96/convert-dicom-to-np-array-the-correct-way", "kernel_id": "20807115"}, {"ref": "pvtien96/visual-in-depth-eda-vinbigdata-competition-data", "kernel_id": "20807160"}, {"ref": "sanskar1504/vinbigdata", "kernel_id": "20526118"}, {"ref": "anaselmasry/chest-x-ray-abnormalities-detection", "kernel_id": "20352773"}, {"ref": "jackpodkim/vinbigdata-resize-and-normalize", "kernel_id": "20076543"}, {"ref": "nhthunhhong/vin-ai-bigdata", "kernel_id": "20230485"}, {"ref": "nhthunhhong/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "21278598"}, {"ref": "abebe9849/yolox-vinbig", "kernel_id": "22567118"}, {"ref": "joicejoseph/lungopacity-fasterrcnn-train", "kernel_id": "22583849"}, {"ref": "justin95214gmailcom/efficientdet-d4-train-inference", "kernel_id": "22660093"}, {"ref": "priyanshb19cse067/notebookbe080d43f8", "kernel_id": "22836253"}, {"ref": "howard527/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "23758022"}, {"ref": "lhd0430/vinbigdata-chest-x-ray-abnormalities-detection", "kernel_id": "24792367"}, {"ref": "univanxx/chest-xray-8-nih-dataset-with-detectron2", "kernel_id": "24587479"}, {"ref": "kristysaha/vinbigdata-vgg19", "kernel_id": "25436486"}, {"ref": "proggaabonti/eda-vinbigdata-chest-x-ray-abnormalities-594d70", "kernel_id": "25646965"}, {"ref": "jigglediggle1/vinbigdata-chest-xray", "kernel_id": "25247509"}, {"ref": "progbar/eda-vinbigdata-chest-x-ray-abnormalities", "kernel_id": "25467217"}, {"ref": "nguyentrongduy/fork-of-vinbigdata-chest-x-ray-detection", "kernel_id": "25321571"}, {"ref": "duydattqta13/7-homework-2stagesdetection", "kernel_id": "25294753"}, {"ref": "datntrong/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "25779397"}, {"ref": "phanquangthi/51900214-51900053-bai2-yolov5", "kernel_id": "27271955"}, {"ref": "phanquangthi/51900214-51900053-fasterrcnn", "kernel_id": "27329549"}, {"ref": "ipolas/mmdet-pytorch-framework-training-fcos-base", "kernel_id": "28469362"}, {"ref": "pranjalpruthi/yolov5-chest-512", "kernel_id": "28010223"}, {"ref": "faiyamislam/yolo-implementation-and-inference", "kernel_id": "29069728"}, {"ref": "dharani9183/bounding-box-images", "kernel_id": "29236271"}, {"ref": "amnabibi14/chest-fix", "kernel_id": "29539140"}, {"ref": "poojasaianand/yolo-training-and-cross-validation", "kernel_id": "29092509"}, {"ref": "npriyaa/faster-r-cnn-model", "kernel_id": "29248323"}, {"ref": "ibrahimehmed/chest-fix", "kernel_id": "29658529"}, {"ref": "hassansanaullah/oneclasssvm", "kernel_id": "31192260"}, {"ref": "andepoojapraphulla/0-284rcnn-norm-14class-1", "kernel_id": "31052203"}, {"ref": "t3sting/vinbigdata-chest-x-ray-abnormalities-detection", "kernel_id": "32874387"}, {"ref": "t3sting/vinbigdata-fusing-bboxes-coco-dataset", "kernel_id": "32735806"}, {"ref": "t3sting/vbd-efficientdet-tf2-object-detection-api-0a338d", "kernel_id": "32792563"}, {"ref": "huyhuynhhoang/train-vinbigdata-detectron2-weights-and-biases", "kernel_id": "32804304"}, {"ref": "vrufus/notebookf29b13a459", "kernel_id": "32081914"}, {"ref": "cxx5208/ml-2-411943", "kernel_id": "32149377"}, {"ref": "sarasasaikrishna/notebook920bd6a6f4", "kernel_id": "32083476"}, {"ref": "lintuoommen/yolov-v7-vinbigdata", "kernel_id": "32017293"}, {"ref": "ntchtk/bboxkaggle", "kernel_id": "32407223"}, {"ref": "pradyumnamohani/vgg16-prady-chest-x-ray", "kernel_id": "33889982"}, {"ref": "pradyumnamohani/fork-of-prady-resunet-model-vinbigdata", "kernel_id": "34238422"}, {"ref": "pradyumnamohani/prady-resunet-model-vinbigdata", "kernel_id": "34093055"}, {"ref": "arunimbasak/wbf-ensemble-ba06e5", "kernel_id": "34300707"}, {"ref": "abhishekroy2006/prady-resunet-model-vinbigdata-c46353", "kernel_id": "34277009"}, {"ref": "l1875699404/chest-x-ray-yolov5", "kernel_id": "34572916"}, {"ref": "pradyumanmohani/fork-of-prady-resunet-model-vinbigdata", "kernel_id": "34250840"}, {"ref": "marshath/valleydao-vinbigdata-classification", "kernel_id": "35537371"}, {"ref": "galenchen/vindr-cxr-metadata-extraction", "kernel_id": "35464759"}, {"ref": "theolange/ai-vinbigdata-visualisation", "kernel_id": "35745881"}, {"ref": "gaurav0205/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "36788999"}, {"ref": "mohamedeldakrory8/vinbigdata-cxr-ad-yolov5", "kernel_id": "36289311"}, {"ref": "yohannesminyilu/vbd-efficientdet-tf2-object-detection-api", "kernel_id": "37016932"}, {"ref": "ummarakhan/yolo-v5-code", "kernel_id": "37357893"}, {"ref": "abdelmomenmustafa/yolov5-vinbigdata", "kernel_id": "37068362"}, {"ref": "snowyouo/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "39298583"}, {"ref": "anshikavashishtha/anshikav-project1", "kernel_id": "40845728"}, {"ref": "nimssolanki/task2-nidhi", "kernel_id": "40769656"}, {"ref": "nimssolanki/task-2-nidhi", "kernel_id": "40660664"}, {"ref": "derekxue/vinbigdatachestrayfastai", "kernel_id": "41212619"}, {"ref": "kaledhoshme/visual-explanations-gradcam-gradcam", "kernel_id": "42280669"}, {"ref": "murtadhayaseen/vinxray-detector", "kernel_id": "42783184"}, {"ref": "phngnguynhu/vinbigdata-chest-x-ray", "kernel_id": "42919728"}, {"ref": "srijanseal/yolo-training-and-cross-validation", "kernel_id": "43335568"}, {"ref": "thanhdungcr7/detr-thoracic-abnormalities-detection", "kernel_id": "43002875"}, {"ref": "phngnguynhu/vinbigdata-detectron2-prediction", "kernel_id": "43523767"}, {"ref": "hryan007/vinbig-data", "kernel_id": "44610432"}, {"ref": "manchunhui/vinbigdata-yolov5-format-label-dataset", "kernel_id": "45291966"}, {"ref": "manchunhui/vinbigdata-resize-512-image-dataset", "kernel_id": "45352953"}, {"ref": "manchunhui/vinbigdata-resize-1024-image-dataset", "kernel_id": "45868077"}, {"ref": "spritan1/vindr-processing", "kernel_id": "47131988"}, {"ref": "faycalzineeddine/chest-x-ray-detection", "kernel_id": "47034004"}, {"ref": "bachngoh/medical-image-processing", "kernel_id": "49622884"}, {"ref": "kiranneupane007/maskrcnn-for-chest-x-ray-anomaly-detection", "kernel_id": "49078703"}, {"ref": "raffdoc/cnn-with-lightning", "kernel_id": "50426342"}, {"ref": "aagamb/yolov-v7-vinbigdata", "kernel_id": "50269649"}, {"ref": "repk1124/lung-yolov8", "kernel_id": "50003685"}, {"ref": "gabrielmaire/data-preparation", "kernel_id": "51987896"}, {"ref": "redwanahmedrony/chest-anomaly-detection", "kernel_id": "52637008"}, {"ref": "gabrielmaire/original-sizes-csv", "kernel_id": "52615960"}, {"ref": "gabrielmaire/image-transformation", "kernel_id": "52485860"}, {"ref": "aritradasray/image-data-pre-processing", "kernel_id": "52439899"}, {"ref": "rahulsingh04/yolo-v9-end-to-end-implementation", "kernel_id": "53296965"}, {"ref": "shubhamgandhi02/scam-fl", "kernel_id": "53384465"}, {"ref": "aagamb/federated", "kernel_id": "53442212"}, {"ref": "prudhvirajkalakonda/4april-vinbigdata-vgg19-multilabel-bal", "kernel_id": "53961330"}, {"ref": "prudhvirajkalakonda/4april-vinbigdata-coatnet-balanced-data", "kernel_id": "53965925"}, {"ref": "prudhvirajkalakonda/4april-vingbigdata-mvit-balanced", "kernel_id": "53988319"}, {"ref": "ppxndpxdd/vin-yolo", "kernel_id": "53034461"}, {"ref": "prudhvi420145/4april-vinbigdata-densenet-balanced-data", "kernel_id": "53970814"}, {"ref": "prudhvi420145/4april-vinbigdata-convnext-balanced", "kernel_id": "53969552"}, {"ref": "kalakondaprudhviraj/4april-vinbigdata-efficientnet-multilabel-bal", "kernel_id": "53962717"}, {"ref": "kalakondaprudhviraj/4april-vingbigdata-resnet-balanced", "kernel_id": "53964099"}, {"ref": "kalakondaprudhviraj/4april-vinbigdata-swintransformer-balanced", "kernel_id": "53986399"}, {"ref": "powwowath/visual-in-depth-eda-vinbigdata-competition-data", "kernel_id": "54524552"}, {"ref": "prudhvirajkalakonda/4april-vinbigdata-maxvit-balanced", "kernel_id": "54014389"}, {"ref": "sunnyrishyvardhan/april-9-swin-unetr-vinbigdata-ml-ipynb-cont", "kernel_id": "54409612"}, {"ref": "rupeshkonduru/yolov5-chestxray", "kernel_id": "54611202"}, {"ref": "radiodiagnostica/notebook200225dc51", "kernel_id": "54642829"}, {"ref": "melodiesofthemoon/coatnet-vinbigdata-ml-balanced", "kernel_id": "54864631"}, {"ref": "melodiesofthemoon/april-9-davitbase-unetr-vinbigdata-ml", "kernel_id": "54362372"}, {"ref": "prudhvi420145/4april-vinbigdata-efficientvit-balanced", "kernel_id": "54007654"}, {"ref": "prudhvi420145/4april-vinbigdata-pvt-balanced", "kernel_id": "54001593"}, {"ref": "kalakondaprudhviraj/4april-vinbigdata-davit-balanced", "kernel_id": "54001269"}, {"ref": "underrated1/medical-image-processing", "kernel_id": "56232405"}, {"ref": "arshmanr/fyp-it-8-spring2024", "kernel_id": "57566880"}, {"ref": "istiyaque6ty3/final-vinbigdata-cxr-ad-yolov9", "kernel_id": "58514904"}, {"ref": "istiyaque6ty3/final-vinbigdata-cxr-ad-yolov8", "kernel_id": "58529990"}, {"ref": "bihalneupane/transform-vinbigdata-chest-x-ray-to-yolo-format", "kernel_id": "58410540"}, {"ref": "asifimrul/yolo-v9-end-to-end-implementation", "kernel_id": "59136367"}, {"ref": "mahmudwasif/vinbigdata-cxr-ad-yolov5-14-class-infer-f2d2ca", "kernel_id": "59122047"}, {"ref": "radiodiagnostica/g-c-cx-stdsplit", "kernel_id": "60071053"}, {"ref": "mersava/tf2-leke-resized-768x1024-ba-ar-l", "kernel_id": "62709251"}, {"ref": "mersava/tf2-object-detection-api-efficientdet-b0", "kernel_id": "62492444"}, {"ref": "okanalageyik/tf2-object-detection-api-efficientdet-b0-omers", "kernel_id": "62693485"}, {"ref": "huynhanhhuyk17ct/dbm-g1-lab-4", "kernel_id": "62181986"}, {"ref": "prashanthloveshetti/yolo-v8", "kernel_id": "63541155"}, {"ref": "adarshbhandarii/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "63495327"}, {"ref": "avasaeidvafa/yolov5ln", "kernel_id": "64381754"}, {"ref": "nguynvnhonganh/testyolo", "kernel_id": "64851919"}, {"ref": "nguynvnhonganh/fusing-aug", "kernel_id": "64728867"}, {"ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset1280px", "kernel_id": "65607163"}, {"ref": "buithanhxuan/vinbigdata-fusing-bboxes-yolo-dataset-3labels", "kernel_id": "65200506"}, {"ref": "buithanhxuan/vinbigdata-fusing-bboxes-yolo-dataset", "kernel_id": "65029079"}, {"ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset640px", "kernel_id": "65817253"}, {"ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset640px-16class", "kernel_id": "65881222"}, {"ref": "nguynvnhonganh/train-2time", "kernel_id": "65269440"}, {"ref": "thnhnamdng/yoloforpre", "kernel_id": "65508746"}, {"ref": "nguynvnhonganh/fusing-aug-610502", "kernel_id": "66377317"}, {"ref": "nguynvnhonganh/yolov8", "kernel_id": "66558983"}, {"ref": "quctonng/yolov8-c4ce74", "kernel_id": "66738313"}, {"ref": "quctonng/yolov8", "kernel_id": "66515691"}, {"ref": "kalashnikov1405/lol2398", "kernel_id": "66924535"}, {"ref": "nguyenphiluan/yolov10-0d0bd4", "kernel_id": "66559013"}, {"ref": "nguyenphiluan/yolov10", "kernel_id": "66401665"}, {"ref": "thnhnamdng/yolov8-c4ce74", "kernel_id": "66776492"}, {"ref": "thnhnamdng/yolov10", "kernel_id": "66478807"}, {"ref": "tiennguynhuudvf/vinbigdata-fusing-bboxes-yolo-dataset-3-91cbe6", "kernel_id": "67255230"}, {"ref": "phmchtm/vinbig", "kernel_id": "69715589"}, {"ref": "kushalbhargav/vinbigdata-chest-x-ray-abnormalities-classifier", "kernel_id": "70399249"}, {"ref": "claudiodellamotta/addestramento-con-png", "kernel_id": "71763887"}, {"ref": "anghungyie/vinbigdatayolov8", "kernel_id": "72932679"}, {"ref": "siruitan/subset-downloader", "kernel_id": "72234731"}, {"ref": "duynguyen347/vinbigdata-detectron2-prediction", "kernel_id": "72219430"}, {"ref": "duynguyen347/vinbigdata-detectron2-train", "kernel_id": "72215619"}, {"ref": "duynguyen347/vinbigdata-detectron2-train-512x512", "kernel_id": "72888374"}, {"ref": "thephantam/vinbigdata-x-ray-chest-abnormalities-detection", "kernel_id": "72782632"}, {"ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset640px-1class", "kernel_id": "73717806"}, {"ref": "tienhung0305/chest-x-ray", "kernel_id": "74710870"}, {"ref": "vijaykaranjkar/vinbigdatachestxray", "kernel_id": "76461875"}, {"ref": "buithanhxuan/fasterrcnn-xuan2261", "kernel_id": "77369327"}, {"ref": "linajbara/pfemodel", "kernel_id": "77697775"}, {"ref": "youssefmagdy22/det-localise", "kernel_id": "78205996"}, {"ref": "sumiranrai/lungvision-max-vit-rmlp", "kernel_id": "78243754"}, {"ref": "minhhaionlyfans/yolo-v9-implementation-zero-to-hehe", "kernel_id": "78788850"}, {"ref": "bishoyadel1233/detection-and-localization", "kernel_id": "79025014"}, {"ref": "mkjindal/addestramento-con-png", "kernel_id": "79055411"}, {"ref": "ravindusayuranga/vin-yolo-train-v4", "kernel_id": "79801640"}, {"ref": "samiblack/pfemodel", "kernel_id": "79240744"}, {"ref": "maituduy/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "80222929"}, {"ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset640px-14class", "kernel_id": "80809597"}, {"ref": "nguyentoan102002/faster-rcnn-xray", "kernel_id": "80941761"}, {"ref": "hongphcnguynvn/pytorch-fasterrcnn-with-group-kfold-14-class", "kernel_id": "80345520"}, {"ref": "nguyenphuocdaitoan/vinbigdata-detectron2-train", "kernel_id": "80862444"}, {"ref": "xnuynt732/vinbigdata-detectron2-train-512x512", "kernel_id": "80348900"}, {"ref": "minhhaionlyfans/yolo-v9-vinbigdata", "kernel_id": "80141546"}, {"ref": "linajbara/pfemodel-5bf637", "kernel_id": "80943959"}, {"ref": "samiblack/pfemodel-ba98e7", "kernel_id": "80315106"}, {"ref": "nejlasla/pfemodel-5bf637", "kernel_id": "80498664"}, {"ref": "nguyenphuocdaitoan/faster-rcnn-faster-rcnn-r-101-fpn-3x-xray", "kernel_id": "81515624"}, {"ref": "bishoyadel1233/term1", "kernel_id": "81948182"}, {"ref": "mohamedabdo851/momodel", "kernel_id": "81107636"}, {"ref": "goharpetrosyan06/nodule-detector-bbox", "kernel_id": "81259331"}, {"ref": "dotran0101/yolo-v11-vinbigdata", "kernel_id": "82158888"}, {"ref": "rafialabdullah/cleaner-code", "kernel_id": "82554466"}, {"ref": "linajbara/only-traininggg", "kernel_id": "82377256"}, {"ref": "samiblack/only-traininggg", "kernel_id": "82585329"}, {"ref": "nejlasla/best-model-all-diseases", "kernel_id": "82666288"}, {"ref": "montagne1907/real-world-benchmark-datasets-with-noise-labels", "kernel_id": "84586033"}, {"ref": "mdmoniruzzamansojol/nsec-yolo-tx", "kernel_id": "84086343"}, {"ref": "lengocmaik17hl/vinbigdata-100-image", "kernel_id": "84154687"}, {"ref": "shiamaashahen/normal-vs-upnormal", "kernel_id": "84699106"}, {"ref": "shiamaashahen/chest-xray-normal-vs-upnormal", "kernel_id": "84406630"}, {"ref": "shiamaashahen/normal-vs-upnormal-with-segmentation", "kernel_id": "85366266"}, {"ref": "vokeeshemitan/lung-cancer-early-detection", "kernel_id": "86495575"}, {"ref": "lengocmaik17hl/base-xl2r-paper-ct-scans-for-covid-19-classifica", "kernel_id": "86069849"}, {"ref": "lengocmaik17hl/optimize-ct-scans-for-vinbigdata-chest-x-ray", "kernel_id": "86105334"}, {"ref": "shiamaashahen/fine-tuning-models-normal-abnormal", "kernel_id": "86773458"}, {"ref": "mohamedabdelhamid03/newclasses", "kernel_id": "86587859"}, {"ref": "shaimaakamelshaheen/normal-abnormal-integration", "kernel_id": "86780615"}, {"ref": "filossoft/chext-xray-yolo-model-training", "kernel_id": "89161084"}, {"ref": "bhumiikaa/x-ray-model-yolov11m", "kernel_id": "90124748"}, {"ref": "shiamaashahen/yolo-4classes", "kernel_id": "90315028"}, {"ref": "shiamaakamel/tst-our-data-1000-using-finetuned-5epoch-59d41c", "kernel_id": "90706954"}, {"ref": "ahmedahmoud/tst-our-data-1000-using-finetuned-5epoch", "kernel_id": "90608753"}, {"ref": "rnaresh2005/notebook932e39e76f", "kernel_id": "93518761"}, {"ref": "eaktajoge2003/chest-xray", "kernel_id": "93487656"}, {"ref": "nareshr22mis0015/notebook790743b3b1", "kernel_id": "93485805"}, {"ref": "nareshr2005/notebook3858f8286d", "kernel_id": "94734241"}, {"ref": "phamchienunc/training-deim", "kernel_id": "96193544"}, {"ref": "vasuchakravarthi/lung-abnormality", "kernel_id": "96756392"}, {"ref": "aaronpham/vindr-cxr-eda", "kernel_id": "97012352"}, {"ref": "joeyguo12327/joeyguo12327-yolo11n-det-fine-tune-vinbigdata-cxr", "kernel_id": "98692381"}, {"ref": "b2203445/yolov11-1024img-16batch-100e-cutmix-andmore", "kernel_id": "98147820"}, {"ref": "aaronpham/vindr-analysis", "kernel_id": "102650157"}, {"ref": "lqucng/vinbigdata-cxr-yolov5-14-class-train", "kernel_id": "102869150"}, {"ref": "lqucng/vinbigdata-cxr-yolov5", "kernel_id": "102875452"}, {"ref": "longphmnguynhi/vindr-image-convert", "kernel_id": "102737106"}, {"ref": "longphmnguynhi/vin-csr-training", "kernel_id": "102757350"}, {"ref": "bihidng/fork-of-yolov12s-chest-x-ray", "kernel_id": "103335551"}, {"ref": "bihidng/yolov12s-rerun-chest-x-ray", "kernel_id": "103809039"}, {"ref": "aaronpham/vindr-image-convert", "kernel_id": "103142840"}, {"ref": "tuktuai/process-dicom", "kernel_id": "103827362"}, {"ref": "namnguyenhoang1/testvinbigdata-x-ray", "kernel_id": "103286032"}, {"ref": "ayesidenurylmaz/vinbigdata-chest-x-ray-analysis", "kernel_id": "105224590"}, {"ref": "ggduck14/chest", "kernel_id": "105469529"}, {"ref": "namnguyenhoang1/vindrproject-preprocessing-640", "kernel_id": "105623392"}, {"ref": "anhtrmm/yolov12s-chest-x-ray-v2", "kernel_id": "106492867"}, {"ref": "hushows/notebookf334c9abca", "kernel_id": "106146555"}, {"ref": "sridhar200217/notebookffe558a4ab", "kernel_id": "106155791"}, {"ref": "shiamaakamel/chest-xray-normal-vs-upnormal", "kernel_id": "107632685"}, {"ref": "shiamaakamel/normal-vs-upnormal-with-segmentation", "kernel_id": "107794316"}, {"ref": "namnguyenhoang1/master-notebook-vindr", "kernel_id": "107218199"}, {"ref": "phmduyanh16/chest-x-ray-self", "kernel_id": "107738317"}, {"ref": "kunny47/chest-x-ray-self", "kernel_id": "108321729"}, {"ref": "tuktuai/vindr-image-convert", "kernel_id": "108466464"}, {"ref": "lohithgudla/notebookdcba44409b", "kernel_id": "109768986"}, {"ref": "dasandco/notebook844314f6e8", "kernel_id": "110515137"}, {"ref": "afro624/ai-cliniscan", "kernel_id": "110499819"}, {"ref": "cdhar08040902/cliniscan-milestone1", "kernel_id": "110169481"}, {"ref": "kalpana25/infosys-springboard", "kernel_id": "110460633"}, {"ref": "venkatsaiii/notebook5940a6799d", "kernel_id": "110973486"}, {"ref": "benedekbrandschott/testing", "kernel_id": "111161415"}, {"ref": "lohithgudla/mlproject", "kernel_id": "111840922"}, {"ref": "shubhamsalunke27/internship", "kernel_id": "111311694"}, {"ref": "cdhar08040902/notebook6b00790367", "kernel_id": "111990918"}, {"ref": "nadeemmbadr/vinbigdata-2-class-classifier-complete-pipeline", "kernel_id": "112308956"}, {"ref": "benxelua/lung-yolo", "kernel_id": "112570636"}, {"ref": "dasandco/datasetofml", "kernel_id": "112245714"}, {"ref": "cdhar08040902/cliniscan-1and-2", "kernel_id": "112174239"}, {"ref": "assemelqirsh/eda-cxr", "kernel_id": "113398054"}, {"ref": "hoang0411/lung-yolo-expert-rgb", "kernel_id": "113487059"}, {"ref": "benxelua/lung-yolo-final-test1preprocess", "kernel_id": "113937167"}, {"ref": "vhthai/convnextv2-vit", "kernel_id": "113402688"}, {"ref": "voquynhnga/ai-chest-xray", "kernel_id": "113008928"}, {"ref": "lenguyen111/notebook73bb7f1eef", "kernel_id": "113462452"}, {"ref": "hoangtrandpl/voi-lut", "kernel_id": "113833379"}, {"ref": "ngc6509/lung-yolo-final", "kernel_id": "113517929"}, {"ref": "ngc2222/lungs-dino-mmdet-resnet", "kernel_id": "113616894"}, {"ref": "cdhar08040902/cliniscanfinal", "kernel_id": "113338453"}, {"ref": "cdhar08040902/clinii", "kernel_id": "113339132"}, {"ref": "ericconard/week-5-assignment", "kernel_id": "114211903"}, {"ref": "hoang0411/lut-prep", "kernel_id": "114895360"}, {"ref": "hoang0411/expert-window", "kernel_id": "114174397"}, {"ref": "benxelua/preprocess", "kernel_id": "114940902"}, {"ref": "hongtrungngu/lung-clahe-histogrameq", "kernel_id": "114867089"}, {"ref": "bacahlam/adaptive", "kernel_id": "114872302"}, {"ref": "ngc2222/percentile", "kernel_id": "114863853"}, {"ref": "adityakashyap1111/notebook1b691b168f", "kernel_id": "114807163"}, {"ref": "urvalatif/chest-x-ray-abnormalities-train-split-inference", "kernel_id": "115508962"}, {"ref": "qdaika/dl-vinbigdata-detectron2", "kernel_id": "115274194"}, {"ref": "quytinhxun/dl-davitbase-unetr-vinbigdata", "kernel_id": "115112350"}, {"ref": "quytinhxun/dl-vinbigdata-detectron2", "kernel_id": "115208094"}, {"ref": "michaelgetuu/project-v14", "kernel_id": "116981565"}, {"ref": "vhthai/cache", "kernel_id": "116075314"}, {"ref": "mickgt/project-v-5", "kernel_id": "116348610"}, {"ref": "mickgt/project-v8", "kernel_id": "116877994"}, {"ref": "demicklenos/project-v-6", "kernel_id": "116572822"}, {"ref": "dasylamnk/project-v8", "kernel_id": "116750261"}, {"ref": "benxelua/lung-yolo-mutiple-preprocess", "kernel_id": "117931210"}, {"ref": "nguyenphanthanhan/notebook-prep-d-t", "kernel_id": "117894764"}, {"ref": "nguyenphanthanhan/notebook-test-ttnt", "kernel_id": "117963496"}, {"ref": "demicklenos/final-project-v2", "kernel_id": "117171888"}, {"ref": "mickgetuhaha/final-project-v4", "kernel_id": "117522116"}, {"ref": "huytrnhgia/notebook-v7-jbhi", "kernel_id": "118551782"}, {"ref": "hiuvquc/thoracic-abnormality-detection", "kernel_id": "118811142"}, {"ref": "hoang0411/compare-lung", "kernel_id": "118450352"}, {"ref": "hngbnhhong/binh332434", "kernel_id": "118902442"}, {"ref": "zqaaqz/notebookb8b327727f", "kernel_id": "118894756"}, {"ref": "saimonv/ai-xray-v2", "kernel_id": "118652841"}, {"ref": "keyshiftf/cxr-vinai-model", "kernel_id": "118804654"}, {"ref": "quanglevan2004/ai-12-5-process-data", "kernel_id": "118900200"}, {"ref": "nhaquin/vinbignha", "kernel_id": "118823209"}, {"ref": "kaito137/vinbigdata", "kernel_id": "118881667"}, {"ref": "nguyenphanthanhan/datavin-binary", "kernel_id": "118032316"}, {"ref": "thanhkhai/ai-eda", "kernel_id": "118604969"}, {"ref": "vnphnphm/vindr-yolo8", "kernel_id": "118944428"}, {"ref": "anhdin/predict-vin-512", "kernel_id": "118607351"}, {"ref": "mixp123/eda-dataset", "kernel_id": "118256364"}, {"ref": "bovntntht1908/finalxraytransferlearning", "kernel_id": "118380997"}, {"ref": "duymnhphm/datagoc", "kernel_id": "118820268"}, {"ref": "lmthnhaa/vindr-ver2", "kernel_id": "118816436"}, {"ref": "shun219/btl-ainc-102230259", "kernel_id": "118952230"}, {"ref": "cngrindng/chest-x-ray-abnormalities-densenet-pipeline", "kernel_id": "118938403"}, {"ref": "nguyentongphuc/01-eda-metadata-split-nih-rsna", "kernel_id": "118050501"}, {"ref": "nhungleee/vin5a", "kernel_id": "118222554"}, {"ref": "nhtran2106/vinbigdata-ai", "kernel_id": "118212311"}, {"ref": "chngnphong/datavin-binary-my", "kernel_id": "118559553"}, {"ref": "michaelgetuu/final-project-v4", "kernel_id": "119283417"}, {"ref": "vhthai/coatnet-0-final", "kernel_id": "119586209"}, {"ref": "vhthai/swin-transformer-final", "kernel_id": "119631689"}, {"ref": "vhthai/maxvit-final", "kernel_id": "119672770"}, {"ref": "vhthai/convnextv2-vit-final", "kernel_id": "119741302"}, {"ref": "bodoict/get-train-metrics", "kernel_id": "119024631"}, {"ref": "phucmarco210/stage-1-traning-classifier", "kernel_id": "119976072"}, {"ref": "mixp123/stage-1-traning-classifier", "kernel_id": "119058163"}, {"ref": "nguyentongphuc/05-3model", "kernel_id": "119321830"}, {"ref": "demicklenos/final-project-v4-d48eec", "kernel_id": "119871048"}, {"ref": "mickgetuhaha/final-project-v4-d48eec", "kernel_id": "119636970"}, {"ref": "stefanomagnati/pulmonary-nodule-detection-and-xai", "kernel_id": "120769396"}, {"ref": "ssb004/notebook9e0bf3d582", "kernel_id": "120296434"}, {"ref": "trnhuti666/06b-vindr-fix", "kernel_id": "120165751"}, {"ref": "stefanomagnati/model", "kernel_id": "121131167"}, {"ref": "mikalduc/yolov8", "kernel_id": "121188174"}, {"ref": "tmpxtn/cache-bounding-box", "kernel_id": "121791299"}, {"ref": "joshuaramnauth/argus-squad-a", "kernel_id": "124540872"}, {"ref": "nhatly3/t-o-input", "kernel_id": "125609635"}, {"ref": "nhatly3/yolov8nano", "kernel_id": "125575290"}, {"ref": "nhatly3/notebookcd42b99aa7", "kernel_id": "125575226"}, {"ref": "shiamaakamel/training-vinbig-pngs", "kernel_id": "125383603"}, {"ref": "trinhvietduong/train-on-kaggle", "kernel_id": "127513599"}, {"ref": "nihalabhay/chest-imagenet", "kernel_id": "127463125"}, {"ref": "hilarylee33/0-1280model", "kernel_id": "128650383"}, {"ref": "hilarylee33/640-preprocessing-final", "kernel_id": "128249564"}, {"ref": "hilarylee33/only-datacleaning-final", "kernel_id": "128551997"}, {"ref": "hunhduykhang/doublek", "kernel_id": "129474980"}, {"ref": "mjl51432/cxr-vinai", "kernel_id": "129170784"}, {"ref": "dianarosealanib/notebook6f682b31e2", "kernel_id": "131670310"}, {"ref": "mohamedelalfy01/pneumonia-detection-chest-x-ray-images", "kernel_id": "132907031"}, {"ref": "amanihassanii/notebookc01d2bb259", "kernel_id": "132279944"}, {"ref": "nguyentongphuc/cxr-cad-accounta-01-linear-probe-cls-ep3", "kernel_id": "134941028"}, {"ref": "hilarylee33/preprocessing", "kernel_id": "134579051"}, {"ref": "minhchuonngc/dap391m-baseline-yolov8s-tr-n-vindr-cxr", "kernel_id": "135480400"}, {"ref": "nguyentongphuc/cxr-cad-accounta-02-head-frozen-attnmil", "kernel_id": "135539516"}, {"ref": "hilarylee33/data-cleaning", "kernel_id": "135212613"}]}
{"competition_id": "24805", "kernels": []}
{"competition_id": "24830", "kernels": [{"ref": "vvs1984/jds-eda-knn-nb", "kernel_id": "13798256"}, {"ref": "oleksiichornyi/exploratory-data-analysis-emnist", "kernel_id": "42959185"}]}
{"competition_id": "24838", "kernels": []}
{"competition_id": "24840", "kernels": []}
{"competition_id": "24853", "kernels": []}
{"competition_id": "24854", "kernels": []}
{"competition_id": "24859", "kernels": []}
{"competition_id": "24867", "kernels": []}
{"competition_id": "24883", "kernels": []}
{"competition_id": "24886", "kernels": [{"ref": "liuxiahui/fer-cut", "kernel_id": "31995435"}]}
{"competition_id": "24891", "kernels": [{"ref": "uozcan12/applai-workshop-a1", "kernel_id": "13745583"}, {"ref": "everestboy/score-rms-75900", "kernel_id": "13807957"}]}
{"competition_id": "24892", "kernels": []}
{"competition_id": "24898", "kernels": [{"ref": "mrpakzad/notebook7651d9ac46", "kernel_id": "14084654"}]}
{"competition_id": "24903", "kernels": [{"ref": "rakesh6184/triraka-data-mite-hackathon", "kernel_id": "13771094"}, {"ref": "galabpokh/starter-notebook-cnn", "kernel_id": "13770188"}, {"ref": "raushani/notebookb944dad35f", "kernel_id": "13791422"}]}
{"competition_id": "24904", "kernels": []}
{"competition_id": "24905", "kernels": []}
{"competition_id": "24907", "kernels": []}
{"competition_id": "24911", "kernels": [{"ref": "khoongweihao/insect-augmentation-et-al", "kernel_id": "13872051"}, {"ref": "gpreda/iwildcam2021-normalize-metadata-jsons", "kernel_id": "15658384"}, {"ref": "uncletito727/yolo-v5-animal-detection", "kernel_id": "15835570"}, {"ref": "shubhamsinghgharsele/wildcams", "kernel_id": "15916568"}, {"ref": "drcapa/iwildcam-2021-starter-eda", "kernel_id": "15450499"}, {"ref": "nayuts/256-x-256-cropped-images", "kernel_id": "15825763"}, {"ref": "nayuts/efficientnet-with-undersampling", "kernel_id": "15832796"}, {"ref": "nayuts/iwildcam-2021-starter-notebook", "kernel_id": "15452115"}, {"ref": "nayuts/try-megadetector-crop-animals-on-kaggle-notebook", "kernel_id": "15474255"}, {"ref": "vighneshbgoogle/iwildcam-visualize-instance-masks", "kernel_id": "15952187"}, {"ref": "saurabhbagchi/efficientnet-with-undersampling-optimizer-tuning", "kernel_id": "16059852"}, {"ref": "devashishprasad/iwildcam2021-submission", "kernel_id": "16876401"}, {"ref": "devashishprasad/fastest-way-to-read-and-process-images", "kernel_id": "16985361"}, {"ref": "stpeteishii/iwildcam2021-make-images-extracted", "kernel_id": "16972256"}, {"ref": "nayuts/creating-mask-from-bbox-with-deepmac", "kernel_id": "16588842"}, {"ref": "abhaychaudhary01/insect-augmentation-et-al", "kernel_id": "16079270"}, {"ref": "vighneshbgoogle/run-deepmac-inference-for-iwildcam", "kernel_id": "16092325"}, {"ref": "nobletp/yolo-v5-animal-detection", "kernel_id": "20419736"}, {"ref": "utpalrudra/iwildcam-exploratory-data-analysis", "kernel_id": "20256609"}, {"ref": "sohyeonp/1227test", "kernel_id": "23289986"}, {"ref": "stefanistrate/iwildcam-2022-visualize-deepmac-instance-masks", "kernel_id": "25935023"}, {"ref": "kalilurrahman/iwildcam-2022-analysis-notebook", "kernel_id": "25686447"}, {"ref": "bambadiop/cultura", "kernel_id": "28257332"}, {"ref": "mouneshpatil/creating-mask-from-bbox-with-deepmac", "kernel_id": "49556405"}, {"ref": "muntasirefaz574/insect-detection", "kernel_id": "83526682"}, {"ref": "ngarai/wild-book", "kernel_id": "119455816"}]}
{"competition_id": "24935", "kernels": []}
{"competition_id": "24938", "kernels": [{"ref": "giovannamundstock/food-bank-forecasting", "kernel_id": "32446944"}]}
{"competition_id": "24939", "kernels": [{"ref": "abdelhakmahmoudi/read-wav-file", "kernel_id": "13783002"}, {"ref": "oussamabourajjai/moroccan", "kernel_id": "13789818"}]}
{"competition_id": "24944", "kernels": []}
{"competition_id": "24950", "kernels": []}
{"competition_id": "24951", "kernels": []}
{"competition_id": "24952", "kernels": []}
{"competition_id": "24968", "kernels": []}
{"competition_id": "24969", "kernels": [{"ref": "uozcan12/abhyudaya-machine-learning", "kernel_id": "13937544"}]}
{"competition_id": "24982", "kernels": []}
{"competition_id": "25017", "kernels": [{"ref": "rbsuryapratap/insurance-claim-amount-prediction-regression", "kernel_id": "34874483"}, {"ref": "suryatejamacharla/medical-insurance-cost-competition", "kernel_id": "34870250"}, {"ref": "syedaawaizashraf/medical-insurance-cost-modeling", "kernel_id": "35017028"}]}
{"competition_id": "25021", "kernels": [{"ref": "jacquespeeters/baseline", "kernel_id": "13991617"}, {"ref": "uozcan12/dauphine-data-science-acquisition", "kernel_id": "14007659"}]}
{"competition_id": "25023", "kernels": []}
{"competition_id": "25046", "kernels": []}
{"competition_id": "25059", "kernels": [{"ref": "sharvani2002/part-2-ie-hack1", "kernel_id": "14671015"}, {"ref": "sharvani2002/part-1-ie-hack1", "kernel_id": "14560653"}]}
{"competition_id": "25060", "kernels": []}
{"competition_id": "25066", "kernels": [{"ref": "uozcan12/turtleclassification", "kernel_id": "14076503"}, {"ref": "springnode2/turtleclassification", "kernel_id": "14044510"}]}
{"competition_id": "25070", "kernels": []}
{"competition_id": "25072", "kernels": []}
{"competition_id": "25073", "kernels": []}
{"competition_id": "25078", "kernels": []}
{"competition_id": "25108", "kernels": []}
{"competition_id": "25120", "kernels": [{"ref": "madhavthakker/final-starter", "kernel_id": "14125367"}, {"ref": "fabianreichwald/iannwtf-mensa-object-detection", "kernel_id": "15938770"}]}
{"competition_id": "25123", "kernels": []}
{"competition_id": "25133", "kernels": []}
{"competition_id": "25174", "kernels": []}
{"competition_id": "25191", "kernels": []}
{"competition_id": "25197", "kernels": []}
{"competition_id": "25199", "kernels": []}
{"competition_id": "25212", "kernels": []}
{"competition_id": "25220", "kernels": [{"ref": "bihaoyu/ai-in-geoscience-2020-final-project", "kernel_id": "15491019"}, {"ref": "zhiyunipb18071457/zhiyu-ni-code", "kernel_id": "15560862"}, {"ref": "sangxingyun/pb18000300-sangxingyun-s-code", "kernel_id": "15493411"}, {"ref": "pb18071574/ycz-s-code", "kernel_id": "15486769"}]}
{"competition_id": "25225", "kernels": [{"ref": "inversion/get-started-feb-tabular-playground-competition", "kernel_id": "14504109"}, {"ref": "weidongxu/tps202102-lgbm", "kernel_id": "14927979"}, {"ref": "ryanzhang/pytorch-dae-starter-code", "kernel_id": "14693263"}, {"ref": "dwin183287/tps-feb-2021-base-model-features-engineering", "kernel_id": "14723205"}, {"ref": "dwin183287/tps-feb-2021-eda", "kernel_id": "14703223"}, {"ref": "shogosuzuki/optuna-lightgbm-onehotencoder-ordinalencoder", "kernel_id": "14636285"}, {"ref": "shogosuzuki/optuna-lightgbm-onehotencoder-lr-0-001", "kernel_id": "14626230"}, {"ref": "shogosuzuki/lightgbm-jamessteinencoder-countencoder", "kernel_id": "14605859"}, {"ref": "shogosuzuki/optuna-lightgbm-ordinalencoder", "kernel_id": "14617194"}, {"ref": "shogosuzuki/optuna-lightgbm-onehotencoder", "kernel_id": "14613043"}, {"ref": "shogosuzuki/data-augmentation-with-ctgan", "kernel_id": "14680790"}, {"ref": "shogosuzuki/lgbm-hyparam-tuning-using-optuna-fix-bagging", "kernel_id": "14754902"}, {"ref": "siero5335/eda-basic-fe-gbdts-in-r", "kernel_id": "14621127"}, {"ref": "jamesmcguigan/tps-pycaret2-automl-regression-feb-2021", "kernel_id": "14678962"}, {"ref": "stautxie/tabular-feb-challenge-baseline", "kernel_id": "14919795"}, {"ref": "stautxie/kaggle-tabular-feb-challenge-feature-engineering", "kernel_id": "14939550"}, {"ref": "mminguc/tabular-playground-v1", "kernel_id": "14766650"}, {"ref": "tunguz/lgbm-gpu-hyperparameters-with-optuna-dummies", "kernel_id": "14829885"}, {"ref": "tunguz/tps-2-21-feature-visualization-with-rapids", "kernel_id": "14784875"}, {"ref": "tunguz/xgb-gpu-hyperparameters-with-optuna", "kernel_id": "14851888"}, {"ref": "tunguz/tps-feb-2021-with-lgbmregressor", "kernel_id": "14672177"}, {"ref": "tunguz/ensembling-starter-tps-feb-2021", "kernel_id": "14692886"}, {"ref": "tunguz/tps-feb-2021-rapids-starter", "kernel_id": "14759744"}, {"ref": "tunguz/adversarial-tps-feb-2021", "kernel_id": "14607456"}, {"ref": "tunguz/tps-feb-2021-with-histgradientboostingregressor", "kernel_id": "14651961"}, {"ref": "tunguz/tps-02-21-feature-importance-with-xgboost-and-shap", "kernel_id": "14631863"}, {"ref": "tunguz/feb-21-tps-h2o-automl", "kernel_id": "14911902"}, {"ref": "ttahara/tps-feb-2021-3gbdts-ensemble-baseline", "kernel_id": "14605605"}, {"ref": "martinmarenz/tune-fast-ai-with-optuna-feb-playground", "kernel_id": "14667023"}, {"ref": "martinmarenz/first-pred-feb-tabular-playground-with-fast-ai", "kernel_id": "14604454"}, {"ref": "martinmarenz/feb-playground-eda-trying-to-separate-variables", "kernel_id": "14608569"}, {"ref": "ksvmuralidhar/creating-new-features-from-imp-features", "kernel_id": "14733033"}, {"ref": "gvyshnya/generic-express-eda-with-comprehensive-insights", "kernel_id": "14711615"}, {"ref": "gvyshnya/h2o-automl-baseline", "kernel_id": "14718114"}, {"ref": "gvyshnya/tab-feb-2021-eda-and-feature-engineering-insights", "kernel_id": "14719541"}, {"ref": "manujosephv/pytorch-tabular-node", "kernel_id": "14790614"}, {"ref": "gregorycalvez/sklearn-and-tensorflow", "kernel_id": "14619626"}, {"ref": "chris36/feb-tabular-eda", "kernel_id": "14633146"}, {"ref": "sanjay147/lightgbm-based-kernel", "kernel_id": "14834584"}, {"ref": "ekozyreff/tps-2021-02-xgboost-optuna-gpu", "kernel_id": "14846720"}, {"ref": "ekozyreff/xgboost", "kernel_id": "14761188"}, {"ref": "arashnic/cats-on-a-hot-tin-roof-cats-encoding-methods", "kernel_id": "14631896"}, {"ref": "gpreda/february-solution-stratified-kfolds", "kernel_id": "14642344"}, {"ref": "gpreda/february-tabular-playground-challenge-eda", "kernel_id": "14629920"}, {"ref": "ishii0514/feb-2021-tabular-playground-series", "kernel_id": "14701532"}, {"ref": "tthien/effortless-baseline-with-pycaret", "kernel_id": "14673324"}, {"ref": "aditya08/tabular-playground-series-feb-2021-tree-models", "kernel_id": "14674970"}, {"ref": "styagi130/eda-baselinelinearregression", "kernel_id": "14632139"}, {"ref": "amansaxena/tbs-eda-v1-0", "kernel_id": "14806418"}, {"ref": "ekholme/february-tabular-data-eda", "kernel_id": "14739266"}, {"ref": "docxian/tabular-playground-2-let-s-go", "kernel_id": "14603066"}, {"ref": "docxian/tabular-playground-2-xgboost-with-gpu", "kernel_id": "14769497"}, {"ref": "x8x8d3n9/linear-regression-with-numeric-fes-only-baseline", "kernel_id": "14942662"}, {"ref": "josemauricioneuro/basic-eda-xgb-lgb-param-opt-and-evaluation", "kernel_id": "14800765"}, {"ref": "rapela/tps-02-21-tabnet-regressor", "kernel_id": "14869695"}, {"ref": "rapela/tps-02-21-autoviz", "kernel_id": "14679276"}, {"ref": "rapela/tps-02-21-sweet-visualization", "kernel_id": "14670229"}, {"ref": "nasere/feb-lgbm-do-the-encoding-starter", "kernel_id": "14785408"}, {"ref": "hamditarek/tp-series-feb-21-catboost-classifier-gpu", "kernel_id": "14604774"}, {"ref": "huseyincot/category-encodings-shap-and-interactions", "kernel_id": "14688783"}, {"ref": "anthonylauly/tune-lgbm-hyperparams-using-optuna", "kernel_id": "14879169"}, {"ref": "s92014721/autokeras-for-tabular-playground-series", "kernel_id": "14919756"}, {"ref": "santoshd3/tabular-playground-series", "kernel_id": "14889992"}, {"ref": "benfraser/eda-and-dnn-regression-models", "kernel_id": "14915040"}, {"ref": "leofiro/baseline-catboostregressor-default-parameter", "kernel_id": "14607640"}, {"ref": "drs251/basic-eda", "kernel_id": "14737810"}, {"ref": "jonasschroeder/tps-2021-february-eda-model-building", "kernel_id": "14640344"}, {"ref": "craigmthomas/tps-feb-2021-catboost-tuned", "kernel_id": "14632182"}, {"ref": "craigmthomas/tps-feb-2021-lightgbm-tuned", "kernel_id": "14865551"}, {"ref": "craigmthomas/tps-feb-2021-lgb-xgb-combo", "kernel_id": "14889046"}, {"ref": "tjcdev/simple-lgbmregressor-splines-ensemble-model", "kernel_id": "14937763"}, {"ref": "tjcdev/baselines-with-eda-and-feature-engineering", "kernel_id": "14759695"}, {"ref": "tjcdev/eda-for-finding-outliers-and-correlations", "kernel_id": "14739640"}, {"ref": "bernardoco/lgbm-tuning-w-optuna", "kernel_id": "14959902"}, {"ref": "satyampd/the-age-of-automl-h2o-ai-pycaret", "kernel_id": "14756357"}, {"ref": "aravindnaidu/quickest-solution-pycaret-pandas-profiling-eda", "kernel_id": "14794511"}, {"ref": "kennethr/baseline-eda-xgboost-and-cat-distributions", "kernel_id": "14651874"}, {"ref": "asimzahid/h2o-tps-feb-2021-automl", "kernel_id": "14836736"}, {"ref": "mragpavank/tabular-playground-series", "kernel_id": "14903350"}, {"ref": "black9t/feb-tab-data-pred1", "kernel_id": "14610185"}, {"ref": "dhyeok1996/tps-feb-2021-lightgbm-baseline", "kernel_id": "14976574"}, {"ref": "desareca/eda-bimodal-distribution-dae-vae-som", "kernel_id": "14682861"}, {"ref": "godzill22/tabular-playground-feb-with-keras", "kernel_id": "14771675"}, {"ref": "godzill22/tbs-feb-2021-with-lightgbm", "kernel_id": "14608758"}, {"ref": "mauh974/kaggle-2-xgboost", "kernel_id": "14776886"}, {"ref": "eladwar/tabcascade", "kernel_id": "14896208"}, {"ref": "tushiro/tps-feb-2021-lightgbm-aggregation", "kernel_id": "14842173"}, {"ref": "subinium/tabularplayground-feb-eda-visualization", "kernel_id": "14679762"}, {"ref": "kmldas/automl-for-beginners", "kernel_id": "14772046"}, {"ref": "ryo1993/lgb-linear-tree-experiment", "kernel_id": "14682009"}, {"ref": "maunish/lgbm-goes-brrr", "kernel_id": "14685014"}, {"ref": "maunish/tps-feb-how-to-approach-eda", "kernel_id": "14859404"}, {"ref": "maunish/tps-feb-super-cool-eda-embeddings-pytorch", "kernel_id": "14641367"}, {"ref": "khlevnov/shortest-solution-in-30loc-catboost-with-defaults", "kernel_id": "14605773"}, {"ref": "pratiksharm/tps-feb", "kernel_id": "14730091"}, {"ref": "pratiksharm/ensemble-of-catboost-xgboost-and-light-gbm", "kernel_id": "14882008"}, {"ref": "ctlockhart3/tabularplayground-feb-2021", "kernel_id": "14613138"}, {"ref": "warobson/simple-rapids-live", "kernel_id": "14816350"}, {"ref": "warobson/objective-starter", "kernel_id": "14817546"}, {"ref": "warobson/tps-feb-2021-rf-starter", "kernel_id": "14771186"}, {"ref": "ccollado7/tps-feb-2021-eda-models", "kernel_id": "14635335"}, {"ref": "harshitt21/tps-feb-2021-visualization-model", "kernel_id": "14782058"}, {"ref": "drcapa/playground-series-feb-2021-xgb-tutorial", "kernel_id": "14603036"}, {"ref": "meetshah96/tabular-playground-series-feb-2021", "kernel_id": "14701833"}, {"ref": "ahsu00/tabular-playground-series-feb-2021", "kernel_id": "14869400"}, {"ref": "heyytanay/blending-top-results", "kernel_id": "14858835"}, {"ref": "hamzaghanmi/lgbm-hyperparameter-tuning-using-optuna", "kernel_id": "14668613"}, {"ref": "andreshg/tps-feb-a-complete-study", "kernel_id": "14842803"}, {"ref": "jayen128/eda-lasso-random-forest-lgbm-optimized", "kernel_id": "14904564"}, {"ref": "caesarlupum/null-importance-target-permutation", "kernel_id": "14609902"}, {"ref": "rizdelhi/tabular-playground-with-optuna-feb-21", "kernel_id": "14620440"}, {"ref": "sanarial/tps-feb-2021-lgbm-kfold-ensemble", "kernel_id": "14791572"}, {"ref": "sg12056/tabular-playground-series-feb-2021", "kernel_id": "14646884"}, {"ref": "rajsengo/tps-feb-21-starter-eda-and-randomforest", "kernel_id": "14608400"}, {"ref": "igorkf/simple-eda-tabular-playground-series-feb-2021", "kernel_id": "14623287"}, {"ref": "ashwinrachha1/fastai-starter-tabular-playground-series", "kernel_id": "14662514"}, {"ref": "nayuts/starter-lgbm-with-lightgbm-tuner", "kernel_id": "14603097"}, {"ref": "jonathanakaggle/intro-to-boosting-trees-optuna", "kernel_id": "14880587"}, {"ref": "elvinagammed/feature-enginering-update-with-neural-nets", "kernel_id": "14714706"}, {"ref": "andronik/plotting-categorical-data-with-seaborn", "kernel_id": "14945515"}, {"ref": "yurychernyshov/tps-feb-2021", "kernel_id": "14660295"}, {"ref": "dhairyaparikh/tps-feb-21-dnn-approach", "kernel_id": "14819719"}, {"ref": "abdul5/get-started-feb-tabular-playground-competition", "kernel_id": "14755640"}, {"ref": "latifaalnaim2020/tps-feb-2021-rf-starter", "kernel_id": "14776927"}, {"ref": "latifaalnaim2020/tps-feb-2021-rf-starter-0b07d6", "kernel_id": "14794825"}, {"ref": "latifaalnaim2020/objective-starter", "kernel_id": "14832409"}, {"ref": "fireballbyedimyrnmom/feb-2021-tab", "kernel_id": "14651963"}, {"ref": "rajgandhi/tabular-playground-smoothing", "kernel_id": "14625134"}, {"ref": "l33tc0d3r/tabular-playground-series-xgb", "kernel_id": "14943551"}, {"ref": "frankmollard/denoising-categorical-autoencoder", "kernel_id": "14664343"}, {"ref": "frankmollard/h2o-ml-ensemble", "kernel_id": "14628424"}, {"ref": "haichaoshang/tps-feb2021-xgboost-optuna", "kernel_id": "14681507"}, {"ref": "kenkpixdev/ensemble-lgb-xgb-with-hyperopt", "kernel_id": "14846464"}, {"ref": "naddah/label-encoder", "kernel_id": "14823647"}, {"ref": "jmsayson/get-started-feb-tabular-playground-competition", "kernel_id": "14616428"}, {"ref": "prin543/simple-baseline-model-for-beginners", "kernel_id": "14750096"}, {"ref": "rmiperrier/tps-feb-step-by-step-lgb-optimization", "kernel_id": "14880448"}, {"ref": "rmiperrier/tps-feb-bagged-lgbm", "kernel_id": "14610524"}, {"ref": "kirillklyukvin/tps-feb-lgbm", "kernel_id": "14727223"}, {"ref": "kirillklyukvin/playground-series-february-21", "kernel_id": "14618388"}, {"ref": "tumanovalexander/lgbm-xgb-catboost", "kernel_id": "14633167"}, {"ref": "aastha124/feb-tabular-data", "kernel_id": "14747415"}, {"ref": "kengofujii/tabular-series-feb-lgbm-catboost-xgb", "kernel_id": "14641491"}, {"ref": "jovan100janovic/exercise-pipelines", "kernel_id": "14990248"}, {"ref": "viktorandriichuk/tabular-playground-02-21-lgbm-stacking-0-84261", "kernel_id": "14864025"}, {"ref": "chaudharypriyanshu/tabular-data-eda", "kernel_id": "14725700"}, {"ref": "rushikeshlavate/tabular-playground-series-feb-2021", "kernel_id": "14799250"}, {"ref": "vkehfdl1/for-korean-tabular-2-baseline-lgbm", "kernel_id": "14666046"}, {"ref": "sayantansadhu/ensemble-method-lgbm-xgboost-rf", "kernel_id": "14783747"}, {"ref": "zenokujawa/feb-tab-pg-series-baseline", "kernel_id": "14803456"}, {"ref": "dataarchitsharma/notebooke8caa3b4e7", "kernel_id": "14938979"}, {"ref": "arunlukedsouza/ensemble-modeling-lgbm-xgb-hyperopt", "kernel_id": "14865053"}, {"ref": "mashaelabdullah/eda-and-random-forest", "kernel_id": "14771652"}, {"ref": "yuichikuriyama/lightgbm-baseline-with-label-encoder-and-optuna", "kernel_id": "14606901"}, {"ref": "munumbutt/stacked-xgboost-with-optuna-hyperparam-tuning", "kernel_id": "14377376"}, {"ref": "tracyporter/feb-21-linear-regression", "kernel_id": "14686246"}, {"ref": "jonas0/beginner-friendly-february-tabular-tutorial", "kernel_id": "14603575"}, {"ref": "devkumar247/tabular-playground-series", "kernel_id": "14980701"}, {"ref": "desalegngeb/tps-feb-2021-eda-dataviz-fe", "kernel_id": "14604191"}, {"ref": "satoshi30/eda-basic-model-by-lightgbm", "kernel_id": "14706612"}, {"ref": "satoshi30/prameter-tuning-by-using-optuna", "kernel_id": "14766059"}, {"ref": "petergirgis/tabular-playground-series-peter-girgis", "kernel_id": "14890281"}, {"ref": "petergirgis/tabular-playground-series-feb-2021", "kernel_id": "14854952"}, {"ref": "rahafshiqdar/tps-feb-2021-rf-starter", "kernel_id": "14827218"}, {"ref": "neilgibbons/february-tps-autoeda", "kernel_id": "14609713"}, {"ref": "madelinecaples/tabular-playground-2-better-eda-and-random-forest", "kernel_id": "14609032"}, {"ref": "maostack/english-tps-feb-pseudo-labeling-11th-place", "kernel_id": "14964816"}, {"ref": "maostack/english-tps-feb-11th-place-solution", "kernel_id": "14940068"}, {"ref": "josemrv/feb-tabular-opt-hyperpar-playground-competition", "kernel_id": "14737248"}, {"ref": "satyamkryadav/xgbregressorgpu", "kernel_id": "14604425"}, {"ref": "mahmoudalaa01010101/simple-eda-playground-feb", "kernel_id": "14607611"}, {"ref": "kingabzpro/tabnet-tps-feb", "kernel_id": "14733166"}, {"ref": "kingabzpro/auto-keras-tps-feb", "kernel_id": "14983942"}, {"ref": "loycelorenzo/get-started-feb-tabular-playground-competition", "kernel_id": "14705516"}, {"ref": "erikmartorilpez/notebook3735b9298d", "kernel_id": "14888588"}, {"ref": "phuchuynguyen/tps-k-fold-cv-model-selection", "kernel_id": "14921019"}, {"ref": "phuchuynguyen/tps-feature-selection-glmm-encode-lightgbm", "kernel_id": "14656899"}, {"ref": "princessa/tps-feb-2021-catboost", "kernel_id": "14771554"}, {"ref": "anirudhchandnani/xgboost-on-tps", "kernel_id": "14768018"}, {"ref": "anirudhchandnani/xgb-lgbm-rf-on-tps-best-ml-can-do", "kernel_id": "14909027"}, {"ref": "oldwine357/tabular-series-xgb-feb", "kernel_id": "14616506"}, {"ref": "ghadikq/objective-starter", "kernel_id": "14818300"}, {"ref": "ghadikq/tps-feb-2021-rf-starter", "kernel_id": "14771486"}, {"ref": "takerumiyagawa/tabular-playground-feb-2021-very-simple-lightgbm", "kernel_id": "14643224"}, {"ref": "bedooralharbi/tps-feb-2021-rf-starter", "kernel_id": "14771794"}, {"ref": "afrahhomoud/tps-feb-2021-rf-starter-a546e0", "kernel_id": "14779308"}, {"ref": "shaimaalharbi/weekend-new", "kernel_id": "14823653"}, {"ref": "shaimaalharbi/objective-starter", "kernel_id": "14817999"}, {"ref": "khalidme94/objective-starter", "kernel_id": "14834875"}, {"ref": "khalidme94/tps-feb-2021-rf-starter", "kernel_id": "14771558"}, {"ref": "shaimaaljahani/objective-starter-9b05b2", "kernel_id": "14820139"}, {"ref": "shaimaaljahani/tps-feb-2021-rf-starter", "kernel_id": "14780320"}, {"ref": "abeeralghamdi1/tps-feb-2021-rf-starter", "kernel_id": "14772178"}, {"ref": "shaima44/objective-starter", "kernel_id": "14818126"}, {"ref": "shaikhaalbilais/tps-feb-2021-rf-starter-75f892", "kernel_id": "14783328"}, {"ref": "shaikhaalbilais/weekend-new", "kernel_id": "14847764"}, {"ref": "shaikhaalbilais/fork-of-tps-feb-2021-rf-starter-75f892", "kernel_id": "14867457"}, {"ref": "bmensah/feb-tps-random-forest-regressor", "kernel_id": "14780622"}, {"ref": "josephchan524/tabularplaygroundregressor-using-lightgbm-feb2021", "kernel_id": "14721555"}, {"ref": "luisbedia/tabular-playground-feb2021", "kernel_id": "14633389"}, {"ref": "halilakkaynak/tabular-playground-feb-keras", "kernel_id": "14804675"}, {"ref": "nikolayzhitkov/tps-feb-2021", "kernel_id": "14860692"}, {"ref": "sanggyu3/tabular-feb", "kernel_id": "14926109"}, {"ref": "rafaelfabrichimidt/exploratory-data-analysis-eda", "kernel_id": "14611784"}, {"ref": "helah2030/objective-starter", "kernel_id": "14818045"}, {"ref": "mt77pp/mljar-automl-tabular-playground-feb-2021", "kernel_id": "15007940"}, {"ref": "alexryzhkov/lightautoml-tabulardata-love", "kernel_id": "15010886"}, {"ref": "aninda/tabular-fastai", "kernel_id": "15011523"}, {"ref": "muneeb2405/multiple-boosting-algorithms", "kernel_id": "15388495"}, {"ref": "tunguz/tps-feb-21-skorch-starter", "kernel_id": "15113599"}, {"ref": "gvyshnya/ensemble-lgb-xgb-catboost-optimized", "kernel_id": "15032457"}, {"ref": "rsesha/tps-feb-88-score-autoviml", "kernel_id": "15694737"}, {"ref": "abee82/tps-feb-2021-eda", "kernel_id": "15142648"}, {"ref": "herwinvw/output-response-of-a-gbm-model", "kernel_id": "15212522"}, {"ref": "herwinvw/robustly-encoding-categorical-features", "kernel_id": "15111500"}, {"ref": "ekozyreff/tps-2021-02-lightgbm-numerical-enc-optuna", "kernel_id": "15036395"}, {"ref": "vishalrossi/tabular-playground-xgboost", "kernel_id": "15212114"}, {"ref": "zhaonat/eda-and-optuna-lgb", "kernel_id": "15117916"}, {"ref": "vyordanov/neural-networks-tabular-data", "kernel_id": "15300000"}, {"ref": "amansaxena/tbs-v2-0-eda-xgb-pca", "kernel_id": "15042997"}, {"ref": "javendano585/february-2021-tabular-playground-series", "kernel_id": "15015860"}, {"ref": "shashwatwork/guide-to-normality-tests-in-python", "kernel_id": "15032557"}, {"ref": "jiny333/complete-tutorial-covering-ml-pipeline", "kernel_id": "15084401"}, {"ref": "anthonylauly/first-try-of-denoising-auto-encoder-and-lgbmodel", "kernel_id": "15145829"}, {"ref": "anthonylauly/pseudo-labeling-trial", "kernel_id": "15175378"}, {"ref": "fanbyprinciple/fastai-tabular-playground-feb21", "kernel_id": "15185379"}, {"ref": "benfraser/regression-with-catboost", "kernel_id": "15091412"}, {"ref": "benfraser/dnn-with-categorical-embeddings", "kernel_id": "15037897"}, {"ref": "benfraser/fastai-tabular-dnn", "kernel_id": "15209748"}, {"ref": "kntyshd/3rd-place-solution-ensembling-gbdts", "kernel_id": "15222958"}, {"ref": "mauryasameer47/eda-model-building", "kernel_id": "15114066"}, {"ref": "marychin/catboost-lightgbm-xgboost-cpu-vs-gpu", "kernel_id": "15519151"}, {"ref": "marychin/2d-flood-maps-feature-importances-borutashap", "kernel_id": "15236064"}, {"ref": "marychin/latecomers-eda-express", "kernel_id": "15100819"}, {"ref": "adisav17/advait-regression", "kernel_id": "15196425"}, {"ref": "dhyeok1996/i-want-to-use-all-regressors", "kernel_id": "15125991"}, {"ref": "siavrez/testing-baselines-for-catboost-and-xgboost", "kernel_id": "15112772"}, {"ref": "godzill22/statistic-analysis-of-data-set-features", "kernel_id": "15158064"}, {"ref": "kesavsivakumar/f-regression-30-xgboost-catboost-mlp", "kernel_id": "15100670"}, {"ref": "domizianostingi/playground-february", "kernel_id": "15012612"}, {"ref": "coloradokb/gradientboostingregressor-tabular", "kernel_id": "15069600"}, {"ref": "guptabhishek/tabular-playground-series-linear-regression", "kernel_id": "15181685"}, {"ref": "brukselka/gridsearchcv-xgb-regressor", "kernel_id": "15194099"}, {"ref": "sureshmecad/playground-series", "kernel_id": "15106333"}, {"ref": "accountstatus/column-encoder", "kernel_id": "15002766"}, {"ref": "accountstatus/making-synthetic-data-using-gan", "kernel_id": "15125761"}, {"ref": "adegladius/tabular-playground-series-0-84389-lgbmclassifier", "kernel_id": "15042956"}, {"ref": "shrutimehendale/tabular-playground-series-march-2021", "kernel_id": "15162248"}, {"ref": "dktalaicha/tabular-playground-series-eda-model", "kernel_id": "15031965"}, {"ref": "l33tc0d3r/tabular-playground-series-ann", "kernel_id": "15101128"}, {"ref": "frankmollard/clusterclass", "kernel_id": "15064922"}, {"ref": "danurahul/train-eval-test-1", "kernel_id": "15253408"}, {"ref": "rafatashrafjoy/h2o-api", "kernel_id": "15205448"}, {"ref": "rafatashrafjoy/catboost-regressor", "kernel_id": "15156128"}, {"ref": "somayyehgholami/comparative-method-tabular-feb-301", "kernel_id": "15076586"}, {"ref": "neilcosgrove/feb-tabular-playground-lgbm-optuna-tuning", "kernel_id": "15039611"}, {"ref": "dmitriyveselov/novice-tabular-playground-series-feb-2021", "kernel_id": "15210776"}, {"ref": "shashankrajput9/tabularplayground-eda", "kernel_id": "15001806"}, {"ref": "rebeccajohannsson/featureengineering-tabplayground", "kernel_id": "15195506"}, {"ref": "rebeccajohannsson/comparative-method-tabular-feb-301", "kernel_id": "15192987"}, {"ref": "vkehfdl1/6th-place-solution-pseudo-labelling-lgbm", "kernel_id": "15220707"}, {"ref": "desalegngeb/tps-feb-2021-xgboost-additional-features", "kernel_id": "15117725"}, {"ref": "desalegngeb/march-tps-eda-visualizations", "kernel_id": "15305438"}, {"ref": "ashutoshsahay/february-playground-with-different-models", "kernel_id": "15218142"}, {"ref": "madelinecaples/fastai-tabular-learner-on-tabular-playground", "kernel_id": "15019145"}, {"ref": "hirazawahiroshi/r-tps-feb-2021-eda-bayesianoptimization-xgboost", "kernel_id": "15055647"}, {"ref": "catholpython/feb2021-catboost-optuna", "kernel_id": "15137773"}, {"ref": "awwalmalhi/extreme-fine-tuning-lgbm-using-7-step-training", "kernel_id": "15001934"}, {"ref": "svyatoslavsokolov/tps-feb-2021-lgbm-simple-version", "kernel_id": "15219050"}, {"ref": "urstrulysai/tps-feb2021-basic-lr-model-to-lgbm-hp-tuning", "kernel_id": "15244752"}, {"ref": "saztorralba/tabulardata-pytorchmlp-systemcombination", "kernel_id": "15174946"}, {"ref": "saztorralba/tabulardata-svr-mlp-trees", "kernel_id": "15213403"}, {"ref": "markstent/playground-feb-2021-xgboost", "kernel_id": "15846813"}, {"ref": "aleksandertracz/feb-tabular-playground-competition", "kernel_id": "15287056"}, {"ref": "takerumiyagawa/tps-feb-2021-eda-lgb", "kernel_id": "15124105"}, {"ref": "apurbasarkar/tabular-playground-series-base-model", "kernel_id": "15038444"}, {"ref": "gaetanlopez/pretrained-single-lgbm-0-84184-public-lb", "kernel_id": "15125551"}, {"ref": "emspell/submission-to-get-started-feb-tabular-playground", "kernel_id": "15150391"}, {"ref": "graceenping/final-feb-2021-competition", "kernel_id": "15225811"}, {"ref": "bagusbpg/my-4th-notebook", "kernel_id": "15177736"}, {"ref": "subbugalam/tps-simplified", "kernel_id": "15086355"}, {"ref": "jobyingramdodd/nn-tab", "kernel_id": "15125468"}, {"ref": "saikumarkella/statistical-methods-for-tabular-data", "kernel_id": "15028616"}, {"ref": "fyenneyenn/r-xgboost", "kernel_id": "15015032"}, {"ref": "rohanrao/automl-tutorial-tps-february-2021", "kernel_id": "16553821"}, {"ref": "shamblesean/february-competition", "kernel_id": "16170533"}, {"ref": "retb350/linear-regression-playground", "kernel_id": "16187083"}, {"ref": "gawas2inspire/tabular-feb-cat-boost", "kernel_id": "16798163"}, {"ref": "adegladius/economic-well-being-using-pytorch-dae", "kernel_id": "16667748"}, {"ref": "hikmetsezen/blend-boosting-best-score-on-tsp-feb-2021", "kernel_id": "16957337"}, {"ref": "kingoffitpredict/time-optimization", "kernel_id": "16088708"}, {"ref": "nikitakuzmin/time-optimization", "kernel_id": "17290309"}, {"ref": "adityabhat/understand-xgboost-regressor-don-t-use-blindly", "kernel_id": "18600069"}, {"ref": "stpeteishii/tps0221-xgboost-optuna", "kernel_id": "18346280"}, {"ref": "stpeteishii/tps0221-lightbm-optua", "kernel_id": "18288734"}, {"ref": "arvindbudh/play-ground-feb-2021", "kernel_id": "18112042"}, {"ref": "adityab19/feb-playground", "kernel_id": "18489034"}, {"ref": "navlikasingh/beginner-s-approach-ii-score-0-84423", "kernel_id": "18298754"}, {"ref": "ranjeetshrivastav/30-days-of-ml-automl-pycaret", "kernel_id": "19768809"}, {"ref": "kaushalkrishna2000/kaggle-feb", "kernel_id": "19904638"}, {"ref": "nassimabousahba/get-started-feb-tabular-playground-competition", "kernel_id": "19818092"}, {"ref": "nassimabousahba/xgboost-with-optuna-tuning", "kernel_id": "19816556"}, {"ref": "khule28/tut-model", "kernel_id": "19841247"}, {"ref": "tunguz/tps-feb-21-tsne-and-umap-shap-with-rapids", "kernel_id": "20185886"}, {"ref": "tunguz/fork-of-tps-02-21-feature-importance-with-xgboost", "kernel_id": "20183365"}, {"ref": "alejandroscalise/first-notebook-submitted", "kernel_id": "20001179"}, {"ref": "kennethnguyen/tabular-playground-series", "kernel_id": "20727226"}, {"ref": "danielsinghirengbam/create-folds", "kernel_id": "20460335"}, {"ref": "hosseinbehjat/sample-decision-tree", "kernel_id": "23134782"}, {"ref": "mohitlokhande/tabular-playground-series", "kernel_id": "25143288"}, {"ref": "ksavleen/target-encoding-optuna-hyperparameter-optimization", "kernel_id": "25261366"}, {"ref": "shagkala/tps-feb-2021-handling-the-multimodal-distribution", "kernel_id": "26525125"}, {"ref": "rishirajacharya/gsoc-2022-tf-df-baseline-eda", "kernel_id": "27905976"}, {"ref": "rishirajacharya/gsoc-2022-tf-df-automatic-tuning-eda", "kernel_id": "27928263"}, {"ref": "danielebaldoni/tabular-february", "kernel_id": "27858636"}, {"ref": "seokii/study-kaggle-tabular-playground-series-feb-2021", "kernel_id": "27351279"}, {"ref": "rishirajacharya/gsoc-2022-tf-df-blending", "kernel_id": "28185346"}, {"ref": "rishirajacharya/gsoc-2022-tf-df-keras-tuner-eda", "kernel_id": "28174051"}, {"ref": "rishirajacharya/gsoc-2022-tf-df-tuning-blending", "kernel_id": "28563304"}, {"ref": "rishirajacharya/gsoc-2022-tf-df-exploring-hyper-parameters", "kernel_id": "28361791"}, {"ref": "rishirajacharya/gsoc-2022-tf-df-stacking", "kernel_id": "28759976"}, {"ref": "ahmadgouda96/notebook9a465cb61b", "kernel_id": "28209117"}, {"ref": "hossam22smesm/tabular-playgdround-series-feb-2021", "kernel_id": "28204342"}, {"ref": "ramihani/iti-ml-competition1", "kernel_id": "28185938"}, {"ref": "hossamsaad/tabular-playground-series-hossam", "kernel_id": "28203956"}, {"ref": "jamieses/notebookd58a2e447c", "kernel_id": "28179082"}, {"ref": "mustafaelaraby/notebook3bf58de069", "kernel_id": "28207249"}, {"ref": "mayrizk/notebook6e4bf1ea8b", "kernel_id": "28203774"}, {"ref": "bassanthany/tabular-playground-series-feb-2022", "kernel_id": "28195885"}, {"ref": "rashidy14/notebookff09ba3322", "kernel_id": "28203867"}, {"ref": "mohamedrady111/notebook568dfef18c", "kernel_id": "28211656"}, {"ref": "mo3az3nbar/moaz-abdulfattah", "kernel_id": "28204670"}, {"ref": "ibrahimemara/my-iti", "kernel_id": "28208793"}, {"ref": "marwandiab/tabular-playground-eda-ml-marwan-diab", "kernel_id": "28190468"}, {"ref": "ahmedehsan/tabular-playground", "kernel_id": "28211993"}, {"ref": "tanakritngamnun/eda-random-forest-baseline", "kernel_id": "28503932"}, {"ref": "osamaafifi/linear-regression", "kernel_id": "28210243"}, {"ref": "ahmedibrahimeldesoky/myiti-test1213", "kernel_id": "28205058"}, {"ref": "doniasalheen/notebook8d52392156", "kernel_id": "28190099"}, {"ref": "ahmedramadanali/notebook62b3d35c5b", "kernel_id": "28207898"}, {"ref": "nashwanassar/demo1", "kernel_id": "28205473"}, {"ref": "jamesmcguigan/tps-pycaret3-automl-classification-aug-2022", "kernel_id": "29438596"}, {"ref": "aashidutt3/tabular-playground-series-feb-2021", "kernel_id": "29456638"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "rishirajacharya/gdg-cloud-kolkata-optimized-xgboost", "kernel_id": "30643509"}, {"ref": "lequanghai/tpsfeb21-lightgbm-with-optuna", "kernel_id": "31112541"}, {"ref": "barbagrande007/bbg007-feb21", "kernel_id": "33119274"}, {"ref": "wasjaip/gpu-catboost-t4-verified", "kernel_id": "48491203"}, {"ref": "wasjaipmailru/catboost-gpu-test", "kernel_id": "48488460"}, {"ref": "dilrabonu/tabular-playground-series", "kernel_id": "83228116"}, {"ref": "mtarkmeng/tps-feb-2021-lightgbm-10-fold-cv-with-k-means-cl", "kernel_id": "105605887"}, {"ref": "pedrolanzinha/assessment-2-kaggle-pedro-lanzinha", "kernel_id": "115559088"}]}
{"competition_id": "25226", "kernels": [{"ref": "elvinagammed/oversampling", "kernel_id": "13176325"}, {"ref": "inversion/get-started-mar-tabular-playground-competition", "kernel_id": "14523298"}, {"ref": "mt77pp/mljar-automl-tps-mar2021", "kernel_id": "15473943"}, {"ref": "mt77pp/8h-mljar-automl-tabular-playground-mar-202", "kernel_id": "15239967"}, {"ref": "mt77pp/mljar-automl-explain-tabular-playground-mar-21", "kernel_id": "15239995"}, {"ref": "mt77pp/mljar-automl-tabular-playground-mar-2021", "kernel_id": "15234121"}, {"ref": "alexryzhkov/lightautoml-starter-for-tabulardatamarch", "kernel_id": "15233999"}, {"ref": "titericz/rapids-eda-target-encoding-feature-search", "kernel_id": "15389025"}, {"ref": "anirag/catboost-starter", "kernel_id": "15239714"}, {"ref": "dwin183287/tps-mar-2021-eda-models", "kernel_id": "15252602"}, {"ref": "optimo/tabnet-baseline", "kernel_id": "15234288"}, {"ref": "celniker/tps-lgbm-with-hpo-0-88", "kernel_id": "15247852"}, {"ref": "celniker/tps-march-optuna-tuned-model", "kernel_id": "15806367"}, {"ref": "muneeb2405/boosting", "kernel_id": "15409827"}, {"ref": "gangadher/tps-mar2021-gaussiannb-tpot", "kernel_id": "15785672"}, {"ref": "mahmutozgekarakaya/auc-curve-for-one-hot-encoding-and-label-encoding", "kernel_id": "15352070"}, {"ref": "tomwarrens/tps-march-2021-lgbm-optuna", "kernel_id": "15244556"}, {"ref": "kalashnimov/xgb-and-lgbm-baseline", "kernel_id": "15803186"}, {"ref": "mminguc/tps-mar", "kernel_id": "15483613"}, {"ref": "tunguz/tps-mar-2021-stacker", "kernel_id": "15387816"}, {"ref": "tunguz/tps-mar-2021-xgb-gpu-le-optuna", "kernel_id": "15304926"}, {"ref": "tunguz/tps-03-21-feature-importance-with-xgboost-and-shap", "kernel_id": "15331227"}, {"ref": "tunguz/mar-21-tps-h2o-automl", "kernel_id": "15344648"}, {"ref": "tunguz/tps-mar-2021-eda", "kernel_id": "15237032"}, {"ref": "tunguz/adversarial-tps-march-2021", "kernel_id": "15263376"}, {"ref": "tunguz/tps-march-2021-rapids-starter", "kernel_id": "15284180"}, {"ref": "tunguz/tps-mar-21-skorch-starter", "kernel_id": "15868240"}, {"ref": "petregriscenco/tabular-beginners-competition-march-2021-pipeline", "kernel_id": "15930164"}, {"ref": "ksvmuralidhar/eda-fe-with-mi-xgb-optcv-tps-mar-2021", "kernel_id": "15233057"}, {"ref": "davidedwards1/tabularmarch21-dae-starter-cv-inference", "kernel_id": "15580282"}, {"ref": "davidedwards1/tabularmarch21-dae-starter", "kernel_id": "15484139"}, {"ref": "davidedwards1/tabmar21-best-dae-settings-030421", "kernel_id": "15971371"}, {"ref": "davidedwards1/tabmar21-tabular-blend-final-sub", "kernel_id": "15931627"}, {"ref": "ssingla/tab-march-21-xgb-optuna", "kernel_id": "15770158"}, {"ref": "ssingla/tabular-march-21-eda-randomforest", "kernel_id": "15285356"}, {"ref": "gvyshnya/mar-21-tpc-express-eda-with-autoviz", "kernel_id": "15393177"}, {"ref": "rsesha/keras-model-march-tps-accuracy-88-8", "kernel_id": "15334723"}, {"ref": "rsesha/featurewiz-88-score-tps-mar2021", "kernel_id": "15681431"}, {"ref": "manujosephv/tps-march-pytorch-tabular-starter-notebook", "kernel_id": "15298503"}, {"ref": "mikedev/simple-eda-and-random-forest-prediction", "kernel_id": "15717733"}, {"ref": "sanjay147/lightgbm-baseline", "kernel_id": "15243280"}, {"ref": "herwinvw/reducing-category-numbers", "kernel_id": "15841120"}, {"ref": "herwinvw/cat-boost-parameter-tuning", "kernel_id": "15437289"}, {"ref": "ekozyreff/tps-2021-03-roc-and-auc-tutorial", "kernel_id": "15344086"}, {"ref": "ekozyreff/tps-2021-03-lightgbm-optuna-10-folds", "kernel_id": "15238012"}, {"ref": "rafanovello/teste-bla", "kernel_id": "15458752"}, {"ref": "rafanovello/tps-comp-03-21-smote", "kernel_id": "15498642"}, {"ref": "rafanovello/tps-comp-03-21-feature-eng", "kernel_id": "15541478"}, {"ref": "shams1/tabular", "kernel_id": "15892261"}, {"ref": "jmargni/tabular-mar-lightgbm-hyperopt", "kernel_id": "15697653"}, {"ref": "jmargni/tabular-mar-lightgbm-with-cv", "kernel_id": "15729756"}, {"ref": "vishalrossi/tab-march-classification", "kernel_id": "15905543"}, {"ref": "daood911/lightgbm-optuna-baseline", "kernel_id": "15926271"}, {"ref": "drscarlat/tps-mar-2021-automl-for-the-lazy", "kernel_id": "15240555"}, {"ref": "tthien/20210412-complex-drop-c10-c2", "kernel_id": "15509786"}, {"ref": "emstrakhov/kaggle-competition-mar-15-2021", "kernel_id": "15233316"}, {"ref": "kilimannejaro/get-started-mar-tabular-playground-competition", "kernel_id": "15682011"}, {"ref": "franckepeixoto/tabular-playground-mutual-information-pca", "kernel_id": "15577588"}, {"ref": "muntakim/gridsearch-with-lightgbm-approach", "kernel_id": "15595145"}, {"ref": "hiroshi0530/tpg-mar2021-optuna-xgb", "kernel_id": "15645378"}, {"ref": "gomes555/tps-mar2021-lightgbm-hyperopt", "kernel_id": "15646960"}, {"ref": "gomes555/tps-mar2021-lightgbm-optuna-opt-data-prep", "kernel_id": "15395382"}, {"ref": "gomes555/tps-mar2021-tree-baselines-catboost-bayesopt", "kernel_id": "15370521"}, {"ref": "zaefir/tps-mar-2021-auto-starter-with-and", "kernel_id": "15237296"}, {"ref": "aakash90/mar-tabular-fun", "kernel_id": "15296510"}, {"ref": "docxian/tabular-playground-3-here-we-go-again", "kernel_id": "15232467"}, {"ref": "docxian/tabular-playground-3-without-boosting", "kernel_id": "15727948"}, {"ref": "onielg/simplecatboostandlgbmwithrankblend", "kernel_id": "15399912"}, {"ref": "vcaquilpan/lightgbm-in-action-tabular-competition", "kernel_id": "15618046"}, {"ref": "vcaquilpan/applyng-xgboost-classifier-competition", "kernel_id": "15653456"}, {"ref": "akashkr/tabular-playground", "kernel_id": "15233562"}, {"ref": "ezzzio/tabular-playground-march-2021", "kernel_id": "15748525"}, {"ref": "luigisaetta/tab-playground-nb5-optuna", "kernel_id": "15352694"}, {"ref": "luigisaetta/tab-playground-nb2", "kernel_id": "15320715"}, {"ref": "karandora/tps-march-2021-quick-guide-to-h2o-automl-in-r", "kernel_id": "15547874"}, {"ref": "rapela/tps-03-21-work-in-progress", "kernel_id": "15265837"}, {"ref": "rapela/tps-03-21-tabnet-classifier", "kernel_id": "15232479"}, {"ref": "delai50/visualize-numerical-features-with-chernoff-faces", "kernel_id": "15260632"}, {"ref": "tmitanitky/tabular-compe-lightgbm-optunacv", "kernel_id": "15899144"}, {"ref": "dhawan123/quick-start-to-be-in-top-30-1", "kernel_id": "15755086"}, {"ref": "fanbyprinciple/fastai-neural-net-tabular-mar21", "kernel_id": "15847124"}, {"ref": "santoshd3/tabular-playground-march", "kernel_id": "15286733"}, {"ref": "benfraser/fastai-tabular-classification", "kernel_id": "15235124"}, {"ref": "benfraser/classification-eda-and-basic-baseline", "kernel_id": "15236121"}, {"ref": "drs251/tps-mar-2021-correlation-of-categorical-features", "kernel_id": "15361537"}, {"ref": "mauryasameer47/basic-eda-base-modelling", "kernel_id": "15323435"}, {"ref": "pelagial/tps-march-21-stacking-ensemble", "kernel_id": "15955786"}, {"ref": "lanle793/tps-mar-2021-fastai-tabular-learner", "kernel_id": "15444749"}, {"ref": "prithviraj7387/tabular-playground-eda", "kernel_id": "15424413"}, {"ref": "saket0565/tabular-playground-series-mar-2021", "kernel_id": "15757832"}, {"ref": "slm37102/tabular-mar-using-neural-network-fastai-starter", "kernel_id": "15300975"}, {"ref": "valtintin/formation-argus", "kernel_id": "15239445"}, {"ref": "craigmthomas/tps-mar-2021-stacked-starter", "kernel_id": "15252472"}, {"ref": "marychin/catboost-lightgbm-xgboost-cpu-vs-gpu", "kernel_id": "15519151"}, {"ref": "marychin/2d-flood-maps-feature-importances-borutashap", "kernel_id": "15236064"}, {"ref": "marychin/category-encoders-catalog-experiments-part-1", "kernel_id": "15260503"}, {"ref": "marychin/category-encoders-catalog-experiments-part-2", "kernel_id": "15293736"}, {"ref": "tjcdev/march-tab-eda-outliers-categorical-correlation", "kernel_id": "15540714"}, {"ref": "coder247/mar-2021-stacking-and-optuna", "kernel_id": "15914106"}, {"ref": "natthasit/practice", "kernel_id": "15420698"}, {"ref": "tessytessy/teresia-mar-tabular-playground-competition", "kernel_id": "15627833"}, {"ref": "manabendrarout/lb-0-89-easy-approach-for-beginners-starter-code", "kernel_id": "15368407"}, {"ref": "asimzahid/tps-march-h2o-automl", "kernel_id": "15253059"}, {"ref": "kyakovlev/tps-mar-adversarial-validation", "kernel_id": "15251842"}, {"ref": "kyakovlev/tps-mar-predict-predict-proba", "kernel_id": "15265555"}, {"ref": "noelmat/eda-of-tps", "kernel_id": "15360500"}, {"ref": "saurabhshahane/h2oautoml-template", "kernel_id": "15589119"}, {"ref": "avisoori1x/bayesian-optimization-fastai-with-rocaucbinary", "kernel_id": "15244082"}, {"ref": "avisoori1x/lightgbm-optuna-cv-and-gotchas", "kernel_id": "15238794"}, {"ref": "black9t/sgdclassifier", "kernel_id": "15576700"}, {"ref": "kkmax1015/tabular-featureengineering-with-xfeat-for-beginner", "kernel_id": "15469435"}, {"ref": "desareca/eda-tps-march-kmeans-som-pca-gmm", "kernel_id": "15464228"}, {"ref": "siavrez/kerasembeddings", "kernel_id": "15363916"}, {"ref": "siavrez/eda-starter", "kernel_id": "15240924"}, {"ref": "manwithaflower/tps-march2021-xgb-baseline", "kernel_id": "15796041"}, {"ref": "haticekocaosmanlar/tps-march-2021-eda-ml-comparisons", "kernel_id": "15368794"}, {"ref": "godzill22/blending-with-optimal-weights-tps-march2021", "kernel_id": "15651020"}, {"ref": "keenborder/super-learner-one-hot-encoding", "kernel_id": "15703828"}, {"ref": "kesavsivakumar/tab-pgrnd-k-best-features-xgboost-vs-catboost", "kernel_id": "15234704"}, {"ref": "subinium/tps-march-easy-start-with-pycaret", "kernel_id": "15237782"}, {"ref": "subinium/tps-march-eda-dimension-reduction", "kernel_id": "15237401"}, {"ref": "subinium/dark-mode-visualization-apple-version", "kernel_id": "15667229"}, {"ref": "ricopue/tps-march-2021-ordinal-encoding-and-ugly-plots", "kernel_id": "15278063"}, {"ref": "ricopue/tps-march-2021-deeptables", "kernel_id": "15925052"}, {"ref": "ricopue/ps-march-2021-keras-conv2d", "kernel_id": "15640673"}, {"ref": "jarupula/tps-march-2021", "kernel_id": "15712572"}, {"ref": "pornthepkoo/xgboost-in-r-for-starter", "kernel_id": "15383956"}, {"ref": "dazzpool/tps-march-2021", "kernel_id": "15369003"}, {"ref": "madquer/tbs-mar-modeling-stratifykfold-and-ensemble", "kernel_id": "15358568"}, {"ref": "gcspkmdr/tabular-playground-mar-adversarial-validation", "kernel_id": "15241885"}, {"ref": "barteksadlej123/eda-and-sklearn-models", "kernel_id": "15280447"}, {"ref": "utkarsh175/tps-label-encoding-shortcut", "kernel_id": "15309751"}, {"ref": "daikikatsuragawa/tps-mar-2021-autogluon-learned-for-1-hour", "kernel_id": "15613338"}, {"ref": "daikikatsuragawa/tps-mar-2021-autogluon-learned-for-10-minute", "kernel_id": "15613444"}, {"ref": "daikikatsuragawa/tps-mar-2021-benchmark-using-pycaret", "kernel_id": "15598836"}, {"ref": "daikikatsuragawa/tps-mar-2021-benchmark-using-h2o-automl", "kernel_id": "15598920"}, {"ref": "daikikatsuragawa/tps-mar-2021-benchmark-using-autogluon", "kernel_id": "15599376"}, {"ref": "innixma/tps-march-autogluon", "kernel_id": "15500261"}, {"ref": "nacmarino/tps202103-mlp-embedding", "kernel_id": "15791388"}, {"ref": "ctlockhart3/tps-mar21-binary-xgb-clf", "kernel_id": "15242833"}, {"ref": "ccollado7/tps-mar-2021-eda-models", "kernel_id": "15252366"}, {"ref": "sureshmecad/tabular-playground", "kernel_id": "15236983"}, {"ref": "harshitt21/tps-march-2021-catboost-script", "kernel_id": "15260507"}, {"ref": "drcapa/playground-series-mar-2021-tutorial", "kernel_id": "15232296"}, {"ref": "ruchi798/tps-march-2021-eda-rapids", "kernel_id": "15236950"}, {"ref": "obougacha/marchtab-xgb-baseline", "kernel_id": "15248229"}, {"ref": "standpr2019/catboost-baseline-tps-2021mar", "kernel_id": "15248481"}, {"ref": "jeanpierrrerio/march-tabular-playground-competition", "kernel_id": "15239609"}, {"ref": "dspetrenko/pipeline-poc", "kernel_id": "15542103"}, {"ref": "heyytanay/tps-eda-5-folds-tf-model-dabl-plot", "kernel_id": "15234158"}, {"ref": "thrasy/tps-2021-03-quick-and-dirty-classifiers-testing", "kernel_id": "15237718"}, {"ref": "hamzaghanmi/tps-mar-2021-eda-5folds-lgbm", "kernel_id": "15237231"}, {"ref": "andreshg/tps-march-a-complete-study", "kernel_id": "15238191"}, {"ref": "naimur978/insurance-s-tabular-data-optuna", "kernel_id": "15845874"}, {"ref": "captainnemo3301/kaggle-competition-mar-01-2021", "kernel_id": "15538038"}, {"ref": "caesarlupum/starter-here-ensemble-stacknetclassifier", "kernel_id": "15252319"}, {"ref": "anu4646/notebookb368f8e62e", "kernel_id": "15805636"}, {"ref": "siddharthpchauhan/tabular-march-competition", "kernel_id": "15407090"}, {"ref": "jackstapleton/tabplaymar-baseline", "kernel_id": "15295662"}, {"ref": "riyajm/dealing-with-cats-xgb", "kernel_id": "15275878"}, {"ref": "bhavikjain/xgb-lgbm-tabular-playground-series-march", "kernel_id": "15830811"}, {"ref": "wuuthraad/team-4-star", "kernel_id": "15385177"}, {"ref": "shrutimehendale/tabular-playground-series-march-2021", "kernel_id": "15162248"}, {"ref": "ritesh2000/dae-denoising-transformer-autoencoder", "kernel_id": "15321580"}, {"ref": "elvinagammed/fast-ai-tabular-classification-with-dice-metrics", "kernel_id": "15773108"}, {"ref": "andronik/outlier-detection-and-feature-engineering", "kernel_id": "15334360"}, {"ref": "jerinm/tabular-playground-series", "kernel_id": "15561961"}, {"ref": "rajgandhi/tps-march-lgbm-7-fold-cv", "kernel_id": "15252988"}, {"ref": "antonellomartiello/tabular-v7", "kernel_id": "15918342"}, {"ref": "joshuaswords/tps-eda-model-march-2020", "kernel_id": "15344696"}, {"ref": "akioonodera/tps-mar2021-sk-learn", "kernel_id": "15780074"}, {"ref": "frankmollard/encoder-decoder-combined", "kernel_id": "15424148"}, {"ref": "saryalbasilev/vasiliev-saryal-xgbclassifier", "kernel_id": "15684519"}, {"ref": "haichaoshang/tps-mar2021-xgboost-optuna", "kernel_id": "15402832"}, {"ref": "haichaoshang/tps-mar2021-single-catboost", "kernel_id": "15506349"}, {"ref": "haichaoshang/tps-mar2021-lgbm-optuna", "kernel_id": "15584929"}, {"ref": "atharvaingle/trust-your-cv-how-to-properly-split-folds", "kernel_id": "15236447"}, {"ref": "sebastjancizel/tabular-playground-mar-eda-and-dataviz", "kernel_id": "15237592"}, {"ref": "hamzaadnan/catboost-baseline-achieve-88-8-auc-with-0-effort", "kernel_id": "15913980"}, {"ref": "praveenmaripeti/tps-mar-21-feature-selection-techniques-catboost", "kernel_id": "15425332"}, {"ref": "rmiperrier/tps-mar-lgbm-optuna", "kernel_id": "15232452"}, {"ref": "rmiperrier/tps-mar-lgbm-predict-proba-vs-predict", "kernel_id": "15259111"}, {"ref": "rmiperrier/tps-mar-h2o-automl", "kernel_id": "15246326"}, {"ref": "rmiperrier/tps-apr-eda-starter-models", "kernel_id": "15935451"}, {"ref": "academy4440/forth", "kernel_id": "15484210"}, {"ref": "mashfiqrizvee/tabularplayground", "kernel_id": "15671434"}, {"ref": "thomaspmcg/get-started-mar-tabular-playground-competition", "kernel_id": "15615957"}, {"ref": "thomaspmcg/ml-comp", "kernel_id": "15275551"}, {"ref": "bhimantoros/tps-march-2021-lgbm", "kernel_id": "15234562"}, {"ref": "jyotmakadiya/eda-pytorch-nn-with-hpo-using-optuna", "kernel_id": "15329070"}, {"ref": "mustang007/tabular-playground-series", "kernel_id": "15717489"}, {"ref": "abhishekkumar61999/tabular-playground-series", "kernel_id": "15555378"}, {"ref": "somayyehgholami/tps-mar-part-1-kernels", "kernel_id": "15669965"}, {"ref": "somayyehgholami/tps-mar-part-2-comparative-method", "kernel_id": "15690654"}, {"ref": "kengofujii/tabular-mar-lightgbm", "kernel_id": "15486086"}, {"ref": "ranjeetshrivastav/tabular-playground-series-mar-2021", "kernel_id": "15857476"}, {"ref": "debarshichanda/autoviz-visualize-any-dataset-in-1-line", "kernel_id": "15576475"}, {"ref": "torstensommer/tabular-playground-series-march21-eda", "kernel_id": "15620335"}, {"ref": "sunaysawant/tabular-playground-mar-21-rf", "kernel_id": "15236476"}, {"ref": "vaishnavipatil4848/tabular-playground-march-2021", "kernel_id": "15813504"}, {"ref": "jackday0/tabular-playground-march-2021", "kernel_id": "15596780"}, {"ref": "calebyenusah/lgbm-and-optuna-tps-march-2021", "kernel_id": "15463726"}, {"ref": "danieladif/tps-march-2021-learning-stratifiedkfold", "kernel_id": "15304020"}, {"ref": "sourabhy/tps-march-under-over-sampling-eda-and-models", "kernel_id": "15781262"}, {"ref": "sourabhy/tps-march", "kernel_id": "15783843"}, {"ref": "cahidarda/tabular-playground-march-2021", "kernel_id": "15326199"}, {"ref": "theawm/0-8917-stratified-kfold-xgboost-eda", "kernel_id": "15515377"}, {"ref": "igorkruglov/tabular-playground-03-2021", "kernel_id": "15455563"}, {"ref": "sayantansadhu/lgbm-with-hyper-parameter-tuning-using-optuna", "kernel_id": "15375034"}, {"ref": "kushagrachugh/tabular-playground-series-march-2021", "kernel_id": "15305157"}, {"ref": "munumbutt/thus-he-cried-ensembles-its-alive-75-tile", "kernel_id": "15458237"}, {"ref": "munumbutt/denoising-autoencoder-nn-ensemble-boosted-trees", "kernel_id": "15497314"}, {"ref": "tracyporter/tab-mar-21", "kernel_id": "15495607"}, {"ref": "vinicius20/get-started-mar-tabular-playground-competition", "kernel_id": "15406285"}, {"ref": "andrewtgraham/keras-sequential-with-get-dummies-encoding", "kernel_id": "15812889"}, {"ref": "sozy20/march-tabular-playground-competition", "kernel_id": "15745751"}, {"ref": "shanmukh05/tabular-playground-march-2021", "kernel_id": "15236577"}, {"ref": "desalegngeb/march-tps-eda-visualizations", "kernel_id": "15305438"}, {"ref": "desalegngeb/eye-catcher-plots-from-tps-march-2021", "kernel_id": "15480830"}, {"ref": "harsh484/first-blend-xbg-lgbm", "kernel_id": "15322870"}, {"ref": "shweta0910/tabular-playground-mar-21-ml-rf", "kernel_id": "15381521"}, {"ref": "mamun18/march-tps-ensemble-modelling", "kernel_id": "15272742"}, {"ref": "seongsoohyeon/analysing-tabular-playground-series-data", "kernel_id": "15324861"}, {"ref": "maostack/tps-mar-baseline", "kernel_id": "15233405"}, {"ref": "hirazawahiroshi/r-data-visualization-and-rf-baseline-tps-2021-03", "kernel_id": "15665258"}, {"ref": "borislavnovikov1/xgboost-binary-features", "kernel_id": "15451771"}, {"ref": "mahmoudlimam/target-encoding-with-gini-index", "kernel_id": "15552098"}, {"ref": "svyatoslavsokolov/tps-mar-2021-lgbm", "kernel_id": "15410493"}, {"ref": "joolousada/tps-march-2021", "kernel_id": "15239400"}, {"ref": "urstrulysai/tps-march-stacking", "kernel_id": "15610634"}, {"ref": "saztorralba/tabulardata-lightgbm", "kernel_id": "15404999"}, {"ref": "saztorralba/tabulardata-lgbmwithmlpfeatures", "kernel_id": "15426216"}, {"ref": "saztorralba/tabulardata-pytorchmlp", "kernel_id": "15249351"}, {"ref": "apurvasonavane/get-started-mar-tabular-playground-competition", "kernel_id": "15908569"}, {"ref": "nikolaypirozhkov/tps-mar-2021-rank-averaging-and-stacking", "kernel_id": "15688226"}, {"ref": "shamaevmivt20/15-march-tps-march-stacking", "kernel_id": "15525052"}, {"ref": "pavlovaivt20/tps-mar-2021-lgbm", "kernel_id": "15525514"}, {"ref": "brenoalvesdesousa/enconder-do-catboost-playmar21", "kernel_id": "15901483"}, {"ref": "brenoalvesdesousa/ensemble", "kernel_id": "15923056"}, {"ref": "brenoalvesdesousa/feature-selection", "kernel_id": "15709078"}, {"ref": "brenoalvesdesousa/playground-mar21", "kernel_id": "15619288"}, {"ref": "nishantdhingra/tps-march-lgbm-with-optuna-2", "kernel_id": "15856760"}, {"ref": "nishantdhingra/tps-march-lgbm-with-optuna", "kernel_id": "15810484"}, {"ref": "lucapianta/tpgmarch-eda", "kernel_id": "15341742"}, {"ref": "abhishekv5055/tabular-playground-classification-model", "kernel_id": "15732665"}, {"ref": "mohammadfikri/tabular-playground-series-march-roc-auc-77", "kernel_id": "15996924"}, {"ref": "petrovegor/petrov-egor-xgbclassifier", "kernel_id": "15675785"}, {"ref": "daniilkulyk/kaggle-competition-mar-01-2021", "kernel_id": "15233419"}, {"ref": "pourchot/keras-autoencoder-denoiser", "kernel_id": "15537368"}, {"ref": "pourchot/stacking-xgb-lgb-cat-histgrad-grad", "kernel_id": "15513701"}, {"ref": "pourchot/keras-sequential-wins-against-tabnet", "kernel_id": "15513473"}, {"ref": "pourchot/keras-sequential-with-get-dummies-encoding", "kernel_id": "15811344"}, {"ref": "pradeepboopathy/lightgbm-10-folds", "kernel_id": "15248383"}, {"ref": "gaetanlopez/how-to-make-clean-visualizations", "kernel_id": "15704037"}, {"ref": "gaetanlopez/tps-complete-eda-single-lgb-tuning-strategy", "kernel_id": "15237377"}, {"ref": "josephchan524/tabularplaygroundclassifier-using-lightgbm-mar2021", "kernel_id": "15312826"}, {"ref": "bagusbpg/my-6th-notebook", "kernel_id": "15510762"}, {"ref": "halilakkaynak/tab-march-eda", "kernel_id": "15235769"}, {"ref": "dmitryuarov/catboost-vs-xgb-vs-lgbm-tps-mar-21", "kernel_id": "15249563"}, {"ref": "grzegorzlippe/get-started-mar-tabular-playground-competition", "kernel_id": "15416309"}, {"ref": "mayasakaguchi/tps-mar-21-labelencoder-vs-onehotencoder", "kernel_id": "15268595"}, {"ref": "mayasakaguchi/tps-mar-21-lightgbm-combined-encoding", "kernel_id": "15293872"}, {"ref": "davefw/get-started-mar-tabular-playground-competition", "kernel_id": "15917786"}, {"ref": "hugoortega/tabular-playground-series-mar-2021", "kernel_id": "15930550"}, {"ref": "sh0wmaker/notebook3c612e1144", "kernel_id": "15462418"}, {"ref": "mohammedsohailabrar/tabular-playground-march", "kernel_id": "15341380"}, {"ref": "kandachi/get-started-mar-tabular-playground-competition", "kernel_id": "15558738"}, {"ref": "kandachi/mar-tabular-playground-competition-study", "kernel_id": "15802422"}, {"ref": "zachwel/test-fastai", "kernel_id": "15530985"}, {"ref": "rohanrao/automl-tutorial-tps-march-2021", "kernel_id": "16554127"}, {"ref": "hiroshi0530/rare-label-encoding", "kernel_id": "16782026"}, {"ref": "alexandrelacour/march-playground-across-classifiers", "kernel_id": "16305725"}, {"ref": "wolfy73/benford-s-law-and-neural-networks", "kernel_id": "16583463"}, {"ref": "naokiokada/tabular-playground-series-mar-2021", "kernel_id": "16578317"}, {"ref": "shamblesean/march-competition", "kernel_id": "16247529"}, {"ref": "hikmetsezen/blend-boosting-best-score-on-tsp-mar-2021", "kernel_id": "16959892"}, {"ref": "sardinetrawler/tps-march-2021-elastic-net-and-mars", "kernel_id": "16690801"}, {"ref": "lihongtang/kaggle-march-tps-with-autoviz-lgbm-and-optuna", "kernel_id": "16900471"}, {"ref": "kiesik98/makarovtabular", "kernel_id": "16508228"}, {"ref": "oneoxo/tabular-playground-march-2021-neural-network", "kernel_id": "16060814"}, {"ref": "emstrakhov/2-layer-nn-for-classification-problem-tf-ver-2", "kernel_id": "17184885"}, {"ref": "piantic/tps-mar-2021-basic-eda", "kernel_id": "17257512"}, {"ref": "alexandratakov/target-predictions-without-jokes", "kernel_id": "17339687"}, {"ref": "stpeteishii/tps0321-xgboost-optuna", "kernel_id": "18346461"}, {"ref": "stpeteishii/tps0321-lightgbm-optuna", "kernel_id": "18286484"}, {"ref": "justgilgamesh/a-beginners-approach-to-sklearn-s-cross-validation", "kernel_id": "18842167"}, {"ref": "adityab19/march-dabl", "kernel_id": "18620522"}, {"ref": "adityab19/march-h2o-automl", "kernel_id": "18557579"}, {"ref": "drbeane/tps-mar21-v01", "kernel_id": "18772440"}, {"ref": "tunguz/tps-mar-21-tsne-and-umap-shap-with-rapids", "kernel_id": "20191281"}, {"ref": "tunguz/tps-03-21-feature-importance-with-xgboost-shap", "kernel_id": "20186523"}, {"ref": "justgilgamesh/my-basic-process", "kernel_id": "20923955"}, {"ref": "bextuychiev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "20289477"}, {"ref": "bextuychiev/how-to-beat-the-heck-out-of-xgboost-with-lightgbm", "kernel_id": "20261920"}, {"ref": "drbeane/tps-mar21-submission-v01", "kernel_id": "20821459"}, {"ref": "stpeteishii/tps0321-pytorch-lightning", "kernel_id": "21742745"}, {"ref": "jungheepark9779/2021-10-28-ml-baseline", "kernel_id": "21590611"}, {"ref": "kwakjaeseok/gugi-zzada", "kernel_id": "21368026"}, {"ref": "hasanbasriakcay/tps-mar21-eda-feature-engineering", "kernel_id": "23567199"}, {"ref": "hasanbasriakcay/tps-mar21-xgb-catboost-lgbm-optuna-lb-14", "kernel_id": "23567803"}, {"ref": "drbeane/tps-mar-21-demo", "kernel_id": "23804222"}, {"ref": "pradipwasre/tabular-playground-series", "kernel_id": "23533954"}, {"ref": "mallorycw/tps-mar21-mcw", "kernel_id": "23858012"}, {"ref": "funxexcel/tps-mar2021-base-log-reg", "kernel_id": "24640342"}, {"ref": "funxexcel/tps-mar2021-base-solution", "kernel_id": "24427817"}, {"ref": "mustafamu/tabular-playground-series-mar-2021-using-cnn", "kernel_id": "24166055"}, {"ref": "ezzaldin6/bayesian-search-with-catboost", "kernel_id": "25094981"}, {"ref": "rocklen/notebook6793d97df1", "kernel_id": "25048154"}, {"ref": "abdelrahmanesmat/ml-final-project", "kernel_id": "25441732"}, {"ref": "omarhussien12/base-line", "kernel_id": "25094988"}, {"ref": "wajidhassanmoosa/tabular-playground-series-mar-2021-lr", "kernel_id": "25468891"}, {"ref": "amalismaiil/fork-of-randomforest-cv", "kernel_id": "25412614"}, {"ref": "asmaaemad88/notebook5536506cdd", "kernel_id": "25152709"}, {"ref": "asmaaemad88/tabular-data", "kernel_id": "25399124"}, {"ref": "asmaaemad88/tryone", "kernel_id": "25402792"}, {"ref": "abdelrahmanohassan/classical-classification-process-step-by-step", "kernel_id": "25321818"}, {"ref": "shagkala/robust-validation-for-imbalanced-data", "kernel_id": "26570669"}, {"ref": "ritesh065/tabular-march-2021", "kernel_id": "28599475"}, {"ref": "nikolaikudriavtsev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "28161869"}, {"ref": "smorika/lightgbm-starting-from-score-0-88350-by-beginner", "kernel_id": "28925084"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "flummery/tp-march2021-classification", "kernel_id": "30378014"}, {"ref": "codshashank/logistic-regression", "kernel_id": "31245437"}, {"ref": "siriusmhlee/study-tps-mar-2021", "kernel_id": "32120440"}, {"ref": "griswald0616/shaohui-v1", "kernel_id": "32625504"}, {"ref": "al3xrods/tabular-mar-2021-ml-dnn-approach", "kernel_id": "40100794"}, {"ref": "evrendurmus/tabular-playground-project", "kernel_id": "44531091"}, {"ref": "stpeteishii/tps0321-pycaret", "kernel_id": "60435163"}, {"ref": "murtazaabdullah2010/tabular-playground-series", "kernel_id": "85349443"}]}
{"competition_id": "25232", "kernels": []}
{"competition_id": "25258", "kernels": [{"ref": "chandlerarmstrong/geolifeclef-r-data-load-recode", "kernel_id": "15724669"}, {"ref": "tlorieul/geolifeclef2021-baselines-and-submission", "kernel_id": "15472002"}, {"ref": "tlorieul/geolifeclef2021-data-loading-and-visualization", "kernel_id": "15152802"}, {"ref": "mpwolke/geolifeclef-rasters", "kernel_id": "25441409"}]}
{"competition_id": "25261", "kernels": []}
{"competition_id": "25288", "kernels": []}
{"competition_id": "25291", "kernels": []}
{"competition_id": "25297", "kernels": []}
{"competition_id": "25299", "kernels": [{"ref": "plarmuseau/finding-regression-parameter", "kernel_id": "14268827"}, {"ref": "ahmedkhfagy/normal-equation-implementation", "kernel_id": "14376910"}, {"ref": "abdelsanea/notebookb6be50d56d", "kernel_id": "14635603"}, {"ref": "abdelsanea/notebook637e835ac9", "kernel_id": "14635614"}, {"ref": "salahabido/notebook03e03910d0", "kernel_id": "14395588"}, {"ref": "emanragab/notebook71a3025cf8", "kernel_id": "14350021"}, {"ref": "mohamedmabdelhamid/my-linearregression-algorithm-with-normal-equation", "kernel_id": "14657604"}, {"ref": "ahmedelamir/notebook267d31c513", "kernel_id": "14394952"}]}
{"competition_id": "25301", "kernels": []}
{"competition_id": "25302", "kernels": []}
{"competition_id": "25303", "kernels": [{"ref": "jayanti/analysis-of-the-aicore-classification-problem", "kernel_id": "14559630"}, {"ref": "aadih88/ai-core-classification-challenge", "kernel_id": "14422035"}, {"ref": "srinivasnarasegouda/aicore-lgbmclassifier", "kernel_id": "14736412"}]}
{"competition_id": "25313", "kernels": []}
{"competition_id": "25321", "kernels": []}
{"competition_id": "25335", "kernels": []}
{"competition_id": "25341", "kernels": [{"ref": "egorovm/xgboost-randomforest", "kernel_id": "14323637"}, {"ref": "swofde/test-notebook", "kernel_id": "14325988"}, {"ref": "sardaanaeginova/notebook36238a204d", "kernel_id": "14337982"}, {"ref": "deniszverkov/notebook805a0b2733", "kernel_id": "14325870"}]}
{"competition_id": "25343", "kernels": []}
{"competition_id": "25344", "kernels": []}
{"competition_id": "25346", "kernels": []}
{"competition_id": "25347", "kernels": []}
{"competition_id": "25348", "kernels": []}
{"competition_id": "25349", "kernels": []}
{"competition_id": "25360", "kernels": [{"ref": "mikloskralik/baseline-abide", "kernel_id": "14491739"}, {"ref": "diptobiswas777/autism-spectrum-classification-for-detection-dipto", "kernel_id": "30338653"}, {"ref": "reshmaaelango/child-1", "kernel_id": "135640979"}]}
{"competition_id": "25376", "kernels": []}
{"competition_id": "25380", "kernels": [{"ref": "alexandradelucia/randomguesser", "kernel_id": "14358284"}, {"ref": "lihanzhang/assignment3-lzhan182", "kernel_id": "14388042"}]}
{"competition_id": "25381", "kernels": []}
{"competition_id": "25383", "kernels": [{"ref": "reighns/visualizing-convolution-filters", "kernel_id": "10464058"}, {"ref": "reighns/tutorial-pytorch-saving-and-loading-inference", "kernel_id": "12994238"}, {"ref": "dschettler8845/load-efficientnetv2-pretrained-weights-finetune", "kernel_id": "17023802"}, {"ref": "abhishek/same-old-creating-folds", "kernel_id": "20742346"}, {"ref": "abhishek/tez-pawpular-inference", "kernel_id": "20743643"}, {"ref": "abhishek/tez-pawpular-training", "kernel_id": "20743902"}, {"ref": "abhishek/optuna-xgboost-meta-features-only", "kernel_id": "20783400"}, {"ref": "abhishek/tez-pawpular-swin-ference", "kernel_id": "20924871"}, {"ref": "wojtekwalczak/low-score-or-high-score-a-game", "kernel_id": "20953812"}, {"ref": "shrutisaxena/petfinder-basic-models", "kernel_id": "20744016"}, {"ref": "usharengaraju/tensorflow-probability-ngboost-w-b", "kernel_id": "20907687"}, {"ref": "eduardofv/simple-pawpularity-convnet", "kernel_id": "20771705"}, {"ref": "eduardofv/baseline-sampled-from-distribution", "kernel_id": "20752489"}, {"ref": "eduardofv/pawpularity-explore-how-they-look", "kernel_id": "20818651"}, {"ref": "eduardofv/resnet50-cat-or-dog", "kernel_id": "20797870"}, {"ref": "aakashnain/which-features-to-use-and-why", "kernel_id": "20744232"}, {"ref": "osvaldomx/first-intent-pawpularity", "kernel_id": "20851389"}, {"ref": "blackitten13/pawpularity-eda-small-and-fast", "kernel_id": "20818389"}, {"ref": "nicapotato/pawpular-eda", "kernel_id": "20762163"}, {"ref": "drscarlat/pawpularity-compare-13-keras-image-models", "kernel_id": "20842072"}, {"ref": "drscarlat/pawpularity-keras-image-and-tabular-features", "kernel_id": "20772418"}, {"ref": "currypurin/petfinder-eda-lgb-meta-features-and-img-size", "kernel_id": "20742221"}, {"ref": "anubhav1302/pawwpularity-basic-tf", "kernel_id": "20778959"}, {"ref": "msafi04/petfinder-pawpularity-finder", "kernel_id": "20759246"}, {"ref": "rajatranjan/pawpularity-score-infer-simple", "kernel_id": "20980125"}, {"ref": "inoueu1/eda-cute-animal-pictures", "kernel_id": "20743178"}, {"ref": "pranav2109/pawpularity-prediction-using-pytorch-lightning", "kernel_id": "20944686"}, {"ref": "orkatz2/dog-face-detector-using-dlib", "kernel_id": "20965226"}, {"ref": "miklgr500/petfinder-my-effb0-catalyst-timms-only-image", "kernel_id": "20748540"}, {"ref": "thedrcat/pawpularity-eda-let-s-take-a-look", "kernel_id": "20746573"}, {"ref": "josemauricioneuro/eda-baseline-lgb", "kernel_id": "20794503"}, {"ref": "larsmadsen/breed-is-correlated-with-pawpularity-it-seems", "kernel_id": "20986736"}, {"ref": "leangab/tf-pawpularity-efficientnet-metadata-ensamble", "kernel_id": "20796577"}, {"ref": "ollibolli/catboost-baseline", "kernel_id": "20914284"}, {"ref": "ollibolli/svr-meta-only-groupkfold-baseline-with-bins", "kernel_id": "20983912"}, {"ref": "chrisbradley/pawpularity-cats-vs-dogs", "kernel_id": "20774060"}, {"ref": "tenffe/petfinder-with-embedding", "kernel_id": "20946537"}, {"ref": "phalanx/train-swin-t-pytorch-lightning", "kernel_id": "20875427"}, {"ref": "yasufuminakama/petfinder-efficientnet-b0-starter-training", "kernel_id": "20744128"}, {"ref": "yasufuminakama/petfinder-efficientnet-b0-lgb-training", "kernel_id": "20745271"}, {"ref": "yasufuminakama/petfinder-efficientnet-b0-lgb-inference", "kernel_id": "20746126"}, {"ref": "cdeotte/rapids-svr-boost-17-8", "kernel_id": "20978898"}, {"ref": "reppy4620/fast-ai-efficientnetb0-5fold-training", "kernel_id": "20787529"}, {"ref": "kaushal2896/petfinder-my-optuna-lightgbm-on-meta-features", "kernel_id": "20854475"}, {"ref": "kaushal2896/petfinder-my-initial-eda-mean-baseline", "kernel_id": "20829693"}, {"ref": "kaushal2896/petfinder-my-vision-transformer-inference", "kernel_id": "20876391"}, {"ref": "kaushal2896/petfinder-my-vision-transformer-baseline-tpu", "kernel_id": "20859559"}, {"ref": "beezus666/tweedie-and-lgbm-tuning", "kernel_id": "20842332"}, {"ref": "carlolepelaars/petfinder2021-eda-baseline", "kernel_id": "20744424"}, {"ref": "pratikskarnik/resnet-regressor", "kernel_id": "20913162"}, {"ref": "kaerunantoka/petfinder2-generatetextdatasetwithimagecaption", "kernel_id": "20912258"}, {"ref": "ayuraj/interactive-eda-using-w-b-tables", "kernel_id": "20744927"}, {"ref": "hoangpham51/petfinder-votingregressor", "kernel_id": "20986229"}, {"ref": "manabendrarout/transformers-classifier-method-starter-train", "kernel_id": "20762674"}, {"ref": "manabendrarout/pawpularity-score-starter-cnn-xgboost-infer", "kernel_id": "20754808"}, {"ref": "manabendrarout/transformers-classifier-method-starter-infer", "kernel_id": "20801535"}, {"ref": "smiles28/tpu-efficientpaw", "kernel_id": "20764829"}, {"ref": "josepc/pawpularity-metadata-pseudolabeling", "kernel_id": "20763348"}, {"ref": "josepc/pawpularity-efficient-net-b0-metadata", "kernel_id": "20744285"}, {"ref": "stpeteishii/petfinder-pawpularity-metadata-lgbm", "kernel_id": "20889399"}, {"ref": "stpeteishii/petfinder-pawpularity-image-conv2d", "kernel_id": "20911790"}, {"ref": "tanmay111999/submission-file-transfer-learning-pickle-files", "kernel_id": "20968377"}, {"ref": "tanmay111999/image-classification-vgg16-ml-algorithms", "kernel_id": "20923130"}, {"ref": "alibaba19/fastai-training-pipeline-w-mixup", "kernel_id": "20752132"}, {"ref": "soumochatterjee/startingwith-efficientnet-easy", "kernel_id": "20786097"}, {"ref": "soumochatterjee/timm-tf-efficientnet-b0-ns", "kernel_id": "20809795"}, {"ref": "soumochatterjee/efficientnet-b0-inference", "kernel_id": "20805044"}, {"ref": "oguzhansahin/meta-features-xgboost-lightgbm-catboost-optuna", "kernel_id": "20936812"}, {"ref": "valleyzw/petfinder-duplicate-images", "kernel_id": "20911904"}, {"ref": "mpwolke/woof-woof-no-pawpular-oof", "kernel_id": "20750506"}, {"ref": "leventelippenszky/lgbm-meta-features-only", "kernel_id": "20968793"}, {"ref": "leventelippenszky/petfinder-eda", "kernel_id": "20924776"}, {"ref": "yaniv256/tensorflow-multi-input-pet-pawpularity-model", "kernel_id": "20819948"}, {"ref": "bhavesjain/pawpularity-train", "kernel_id": "20963905"}, {"ref": "jeluisme/basic-stratkfld-lgb-for-meta-features-only", "kernel_id": "20964575"}, {"ref": "drcapa/petfinder-my-starter", "kernel_id": "20743449"}, {"ref": "blinkpm1/petfinder-efficientnet-b0-starter-training", "kernel_id": "20883015"}, {"ref": "peace1019/petfinder-dot-my-v1", "kernel_id": "20983054"}, {"ref": "heyytanay/petfinder-eda-resized-images-224-512", "kernel_id": "20743419"}, {"ref": "heyytanay/train-baseline-torch-lightning-gpu-tpu-w-b", "kernel_id": "20788378"}, {"ref": "awsaf49/tf-petfinder-image-tabular-tpu-train", "kernel_id": "20813456"}, {"ref": "awsaf49/tf-petfinder-image-tpu-train", "kernel_id": "20807287"}, {"ref": "awsaf49/tf-petfinder-vit-cls-tpu-infer", "kernel_id": "20911894"}, {"ref": "awsaf49/tf-petfinder-vit-cls-tpu-train", "kernel_id": "20878994"}, {"ref": "vivmankar/ml-randomforestregressor", "kernel_id": "20961615"}, {"ref": "vivmankar/understanding-the-problem-eda", "kernel_id": "20928101"}, {"ref": "purvansharora/petfinder-pawpularity-competition", "kernel_id": "20862474"}, {"ref": "harutoy/notebook86d741b054", "kernel_id": "20790828"}, {"ref": "devkhant24/pretrained-model-efficientnet", "kernel_id": "20929864"}, {"ref": "tarunbisht11/find-a-pet-with-lightning-speed-effnets", "kernel_id": "20936276"}, {"ref": "tarunbisht11/find-a-pet-with-lightning-speed-inference-effnet", "kernel_id": "20941622"}, {"ref": "tarunbisht11/find-a-pet-with-lightning-speed-inference", "kernel_id": "20856196"}, {"ref": "tarunbisht11/find-a-pet-with-lightning-speed-wandb", "kernel_id": "20803599"}, {"ref": "morenovanton/pawpularity-flaml-lightgbm", "kernel_id": "20793163"}, {"ref": "morenovanton/petfinder-swintransformer", "kernel_id": "20845990"}, {"ref": "alxbkr/pawpularity-lightgbm-metadata-only", "kernel_id": "20889860"}, {"ref": "sidharkal/petfinder-ml-regressor", "kernel_id": "20953246"}, {"ref": "ritesh2000/pytorch-petfinder-fastai-baseline-w-b", "kernel_id": "20842482"}, {"ref": "chumajin/petfinder-eda-lgbm-for-starter-version", "kernel_id": "20994937"}, {"ref": "anki112279/pet-finder-using-pre-trained-vgg16", "kernel_id": "20980494"}, {"ref": "anaselmasry/tez-pawpular-inference-f5a097", "kernel_id": "20774084"}, {"ref": "ravinderkotwal/petfinder2021-eda-baseline", "kernel_id": "20905883"}, {"ref": "nur988/pet-paw", "kernel_id": "20866738"}, {"ref": "nur988/paw-pet", "kernel_id": "20995730"}, {"ref": "Oldmonk3030/tfrecords-creation", "kernel_id": "20760017"}, {"ref": "markwijkhuizen/petfinder-eda-yolov5-obj-detection-tfrecords", "kernel_id": "20834331"}, {"ref": "zzisun/petfinder-by-zzisun", "kernel_id": "20956271"}, {"ref": "dongdori/introduction-to-pawpularity-contest-and-eda", "kernel_id": "20908570"}, {"ref": "apurvsj/first-attempt-linreg-xgb-gbr", "kernel_id": "20984223"}, {"ref": "parasrana/pet-finder-eda", "kernel_id": "20814209"}, {"ref": "lonnieqin/tensorflow-multi-input-pet-pawpularity-model", "kernel_id": "20789290"}, {"ref": "lonnieqin/petfinder-pawpularity-prediction", "kernel_id": "20744888"}, {"ref": "yuyuco777/notebook95a9cafa86", "kernel_id": "20977735"}, {"ref": "yerramvarun/petfinder-my-pytorch-starter-skfold", "kernel_id": "20769972"}, {"ref": "niklausparcell/xgb-shap-explainer-train-and-test", "kernel_id": "20848140"}, {"ref": "ranjeetshrivastav/pawpularity-contest-xception", "kernel_id": "20744932"}, {"ref": "debarshichanda/pytorch-w-b-pawpularity-training", "kernel_id": "20744684"}, {"ref": "debarshichanda/pawpularity-inference", "kernel_id": "20771662"}, {"ref": "mayur7garg/pawpularity-eda-and-naive-linear-model", "kernel_id": "20933282"}, {"ref": "danielkorth/quick-pawpularity-eda", "kernel_id": "20767598"}, {"ref": "vaibhavrmankar/let-s-see-problem-statement-eda-approaches", "kernel_id": "20928031"}, {"ref": "vaibhavrmankar/model-training-transfer-learning-and-fine-tuning", "kernel_id": "20954868"}, {"ref": "adityachakma/starter-keras-meta-data-mobilenetv2", "kernel_id": "20995956"}, {"ref": "sandy4perception/pet-finder-eda", "kernel_id": "20923603"}, {"ref": "sawradipsaha/petfinder2021-ultimate-pawerful-eda", "kernel_id": "20799776"}, {"ref": "venkatkumar001/petfinder-my-csv-tensorflow-decision-tree", "kernel_id": "20779995"}, {"ref": "venkatkumar001/pawpularity-contest-baseline", "kernel_id": "20789767"}, {"ref": "prodromosize/visuals-feature-selection-and-clustering", "kernel_id": "20934248"}, {"ref": "abhishekkumarsaini/pet-finder-noobie", "kernel_id": "20992358"}, {"ref": "abdallahmahmoud/images-effnet-val-19-78", "kernel_id": "20785864"}, {"ref": "ekaterinadranitsyna/pretrained-feature-model-keras", "kernel_id": "20879803"}, {"ref": "ekaterinadranitsyna/xgboost-for-tabular-data", "kernel_id": "20833466"}, {"ref": "michaelfumery/pawpularity-eda-feature-engineering-baseline", "kernel_id": "20828445"}, {"ref": "pratikkoratkp/exploratory-analysis", "kernel_id": "20908803"}, {"ref": "luongduongminh/tez-petfinder", "kernel_id": "20930819"}, {"ref": "kunihikofurugori/simple-eda-using-pandas-profiling", "kernel_id": "20745576"}, {"ref": "kunihikofurugori/next-analysis-category", "kernel_id": "20762199"}, {"ref": "kunihikofurugori/pytorch-starter-tpu", "kernel_id": "20762917"}, {"ref": "kunihikofurugori/mkds-starter-size384-imagesta", "kernel_id": "20774092"}, {"ref": "kunihikofurugori/detect-target-by-yolo", "kernel_id": "20931710"}, {"ref": "kunihikofurugori/catboost-yolobase-feature-extract", "kernel_id": "20944144"}, {"ref": "nameytg/inference-petfinder-based-on-pytorch", "kernel_id": "20851151"}, {"ref": "nameytg/train-petfinder-based-on-pytorch", "kernel_id": "20811500"}, {"ref": "sheepb/keras-api", "kernel_id": "20783813"}, {"ref": "kudasovdmitriy/petfinder-v4", "kernel_id": "20922686"}, {"ref": "kooose/is-dog-or-cat", "kernel_id": "20960266"}, {"ref": "kooose/search-for-similar-annotation-data", "kernel_id": "20832059"}, {"ref": "kooose/eda-by-t-sne", "kernel_id": "20834190"}, {"ref": "cafelatte1/bit-resnet50-efficientnetv2-meta-data", "kernel_id": "20781277"}, {"ref": "duongchivinh10998/petfinder-train", "kernel_id": "20980169"}, {"ref": "hoikinyu/cats-and-dogs-classification", "kernel_id": "20984436"}, {"ref": "elemento/petfinder-vgg16-mlp", "kernel_id": "20994049"}, {"ref": "faridtaghiyev/pawpularity-regression-on-several-models", "kernel_id": "20974032"}, {"ref": "k589k589/tensorflow-lightgbm-cnn", "kernel_id": "20921186"}, {"ref": "k589k589/tensorflow-cnn", "kernel_id": "20905090"}, {"ref": "k589k589/lightgbm-eda", "kernel_id": "20822359"}, {"ref": "k589k589/petfindereda-english", "kernel_id": "20834101"}, {"ref": "junjitakeshima/beginner-s-try-lgbm-cnn-eng", "kernel_id": "20874523"}, {"ref": "yazanmajzob/from-tensorflow-multi-input-pet-pawpularity-model", "kernel_id": "20865682"}, {"ref": "theamitnikhade/petfinder-my-pawpularity-contest", "kernel_id": "20972051"}, {"ref": "toshikiharaguchi/baselinemodel", "kernel_id": "20906873"}, {"ref": "crpatel123/petfinder-eda-let-s-find-home-for-animals", "kernel_id": "20849864"}, {"ref": "vincenttu/paw-eda", "kernel_id": "20956937"}, {"ref": "lystriving/tez-pawpular-inference-adapted", "kernel_id": "20827180"}, {"ref": "chublax/beginner-s-attempt-pet-popularity-v0-03", "kernel_id": "20907314"}, {"ref": "mariacann/pawpularity-eda", "kernel_id": "20764879"}, {"ref": "joeywonpark/lightgbm-puppy", "kernel_id": "20866660"}, {"ref": "chiragtagadiya/randomforest-regression-baseline-no-image-feature", "kernel_id": "20961310"}, {"ref": "abhishek/autoxgb-petfinder", "kernel_id": "21612655"}, {"ref": "bgeier/simple-pet-similarity", "kernel_id": "21747321"}, {"ref": "dwsteve/csci3343-pset5", "kernel_id": "21387745"}, {"ref": "isaacflath/figuring-stuff-out", "kernel_id": "21992877"}, {"ref": "crained/fastai-timm", "kernel_id": "21352688"}, {"ref": "crained/fastai-timm-nointernet", "kernel_id": "21410083"}, {"ref": "srikanthpotukuchi/understanding-pawpular-model", "kernel_id": "21953326"}, {"ref": "wittmannf/deepfeatx-lightgbm-benchmark", "kernel_id": "21109320"}, {"ref": "abhisheksrathore/pawfinder-custom-keras-class-and-model-training", "kernel_id": "21194856"}, {"ref": "spatika/for-beginners-photo-metadata-features-only", "kernel_id": "21497447"}, {"ref": "tqrahman/basic-cnn-with-tensorflow-v2", "kernel_id": "21276958"}, {"ref": "tharunreddy/pawpular-kickoff-keras", "kernel_id": "21604695"}, {"ref": "tanlikesmath/petfinder-pawpularity-eda-fastai-starter", "kernel_id": "21485799"}, {"ref": "tiandaye/find-duplicate-images", "kernel_id": "21737375"}, {"ref": "stmohd/petfnder-cnn-efficientnet-basic-model-average", "kernel_id": "21202007"}, {"ref": "guillaumes/petfinder-xgboost-baseline", "kernel_id": "21642486"}, {"ref": "guillaumes/petfinder-ensemble-xgboost-tabnet", "kernel_id": "21648108"}, {"ref": "cascadinglight/clip-prompt-feature-engineering-xgb", "kernel_id": "21273555"}, {"ref": "bobber/petfinder-fastai-with-dataaugmentation-kfold-10", "kernel_id": "21774204"}, {"ref": "rajatranjan/pawpularity-with-pycaret-understanding-models", "kernel_id": "21041476"}, {"ref": "coldfir3/petfinder-regression-baseline", "kernel_id": "21747011"}, {"ref": "rsmits/effnet-b2-feature-models-catboost", "kernel_id": "21049754"}, {"ref": "bfitzpa5/pawpularity-baseline-cnn-with-keras", "kernel_id": "21356886"}, {"ref": "ashkash247/pawpular-eda", "kernel_id": "21091891"}, {"ref": "burakbekci/petfinder-finding-duplicates-with-cnn", "kernel_id": "21251210"}, {"ref": "jungi21cc/tf-efficientnet-quick-starter-k-fold", "kernel_id": "21192389"}, {"ref": "legolas140/tez-pawpular-swin-ference-revised", "kernel_id": "21750759"}, {"ref": "hollowcode/averaging-duplicate-pawpularity-scores", "kernel_id": "21857675"}, {"ref": "dschettler8845/petfinder-imagenet-investigation", "kernel_id": "21153090"}, {"ref": "dschettler8845/petfinder-cv-baselines-tf-tpu", "kernel_id": "21148762"}, {"ref": "nexus6roy/notebook7429ad9a16", "kernel_id": "21621912"}, {"ref": "vladlee/pawpularity-lgbm-tabonly-optuna", "kernel_id": "21948256"}, {"ref": "aniketmaurya/pawpular-gradsflow", "kernel_id": "21138610"}, {"ref": "felien/petfinder-final", "kernel_id": "21837152"}, {"ref": "taryll/petfinder-pawpularity-prediction", "kernel_id": "21973173"}, {"ref": "yingpengchen/find-duplicate-images", "kernel_id": "21732641"}, {"ref": "arunamenon/pawpularity-prediction", "kernel_id": "21296370"}, {"ref": "teeyee314/pawpularity-cv-folds-which-is-best", "kernel_id": "21240573"}, {"ref": "teeyee314/paws-duplicate-rmse-analysis", "kernel_id": "21809025"}, {"ref": "pteridin/exploratory-analysis-and-glm-fit-r", "kernel_id": "21760820"}, {"ref": "samu2505/petfinder-zero", "kernel_id": "21973432"}, {"ref": "ipythonx/tf-keras-external-mha-transformer-rapis-svr", "kernel_id": "21934293"}, {"ref": "ipythonx/tf-keras-learning-to-resize-image-for-vit-model", "kernel_id": "21392629"}, {"ref": "ipythonx/tf-keras-hybrid-efficientnet-swin-transformer-tpu", "kernel_id": "21375932"}, {"ref": "ipythonx/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "21320383"}, {"ref": "pranavuikey/petfinder-my-vitransformer-lgbm-training", "kernel_id": "21111717"}, {"ref": "pranavuikey/pawpularity-efficientnetb0-training", "kernel_id": "21027718"}, {"ref": "alexteboul/tutorial-part-3-cnn-image-modeling-1", "kernel_id": "21431319"}, {"ref": "alexteboul/tutorial-part-1-eda-for-beginners", "kernel_id": "21059645"}, {"ref": "alexteboul/tutorial-part-2-model-building-using-the-metadata", "kernel_id": "21180934"}, {"ref": "markbquant/petfinder-keras-h2o-svr", "kernel_id": "21273840"}, {"ref": "darkrubiks/reverse-image-search-with-keras", "kernel_id": "21547542"}, {"ref": "tsuno0821/petfinder-eda-for-japanese-starter", "kernel_id": "21737142"}, {"ref": "ayuraj/train-efficientnetv2-with-tf-and-w-b", "kernel_id": "21076378"}, {"ref": "mutsumichieda/build-an-end2end-baseline-real-fast-with-fastai", "kernel_id": "21038062"}, {"ref": "chankhavu/petfinder-sanity-check", "kernel_id": "21217815"}, {"ref": "patonoide/basic-keras-cnn-with-datagenerator", "kernel_id": "21575021"}, {"ref": "ashikshafi/fastai-quick-baseline", "kernel_id": "21082089"}, {"ref": "batprem/oof-generator", "kernel_id": "21471421"}, {"ref": "batprem/03-estimation-catboost-image-encode", "kernel_id": "21473066"}, {"ref": "batprem/01-keras-images-model-poc", "kernel_id": "21461938"}, {"ref": "dailysergey/petfinder-eda-w-b-visualization", "kernel_id": "21704888"}, {"ref": "narikawa/petfinder-vis", "kernel_id": "21364645"}, {"ref": "sanjeevsahu/eda-and-modelling-beginner-intermediate", "kernel_id": "21485547"}, {"ref": "sabzero/explore-sample-images-target-and-meta-data", "kernel_id": "21123322"}, {"ref": "joatom/petfinder2021-simple-fastai-inference", "kernel_id": "21084625"}, {"ref": "joatom/petfinder2021-fastai-train", "kernel_id": "21084646"}, {"ref": "krsna540/kitty-pup-popularity-model", "kernel_id": "21849908"}, {"ref": "ahmetdadak/petfinder-pytorch", "kernel_id": "21574704"}, {"ref": "stpeteishii/petfinder-visualize-importance-for-pawpularity", "kernel_id": "21639111"}, {"ref": "adernild/pawpularity-ensemble-cnn", "kernel_id": "21942475"}, {"ref": "subinium/petfinder-i-am-featurefinder-eda-notebook", "kernel_id": "21644278"}, {"ref": "mrinath/final-infer", "kernel_id": "21076162"}, {"ref": "enforcer007/pets-of-all-pawpularity-scores", "kernel_id": "21172526"}, {"ref": "davidhammond/pawpularity-metadata-eda", "kernel_id": "21330041"}, {"ref": "soumochatterjee/coatnet", "kernel_id": "21955472"}, {"ref": "soumochatterjee/fork-of-notebook2af9f0b63a", "kernel_id": "21928986"}, {"ref": "ted0071/petfinder-image-cnn-meta-nn", "kernel_id": "21667483"}, {"ref": "jordan75/efficient-net-transfer-learning-18-8", "kernel_id": "21264419"}, {"ref": "quillio/cleanfid-resizer", "kernel_id": "21240911"}, {"ref": "sifatshikdar/predict-with-svm", "kernel_id": "21987991"}, {"ref": "ma7555/smart-crop-resize-to-256x256", "kernel_id": "21670412"}, {"ref": "whxin1996/baseline-codes", "kernel_id": "21529024"}, {"ref": "leventelippenszky/for-beginners-pytorch-tutorial-for-petfinder", "kernel_id": "21295661"}, {"ref": "kirillzx/resnet-randomforest-gradientboosting", "kernel_id": "21813038"}, {"ref": "kirillzx/petfinder-baseline", "kernel_id": "21641495"}, {"ref": "bhavesjain/pawpularity-aug", "kernel_id": "21091177"}, {"ref": "bhavesjain/pawpularity-infer", "kernel_id": "21087285"}, {"ref": "bhavesjain/pawpularity-pytorch-train", "kernel_id": "21102821"}, {"ref": "bhavesjain/pawpularity-aug-infer", "kernel_id": "21104219"}, {"ref": "wangzichao2018/train-swin-t-pytorch-lightning", "kernel_id": "21776065"}, {"ref": "anirudhg15/pawpular-competition-w-fastai-lb-18-0", "kernel_id": "21229661"}, {"ref": "zhengchuanyang/petfinder-testing-debug", "kernel_id": "21270320"}, {"ref": "blazer007/f-net-petfinder", "kernel_id": "21655610"}, {"ref": "johnjdavisiv/demo-of-cute-dog-model", "kernel_id": "21944874"}, {"ref": "sarang210/pet-finder-metadata-regression-score-20-49", "kernel_id": "21227419"}, {"ref": "schulta/petfinder-identify-duplicates-and-share-findings", "kernel_id": "21219737"}, {"ref": "ryanlambert/pawpularity", "kernel_id": "21602137"}, {"ref": "vivmankar/multi-input-custom-tf-model-transfer-learning", "kernel_id": "21593972"}, {"ref": "vivmankar/cnn-regressor-using-transfer-learning-tf-data", "kernel_id": "21496544"}, {"ref": "abebe9849/duplicate-images", "kernel_id": "21729949"}, {"ref": "jackstapleton/d169-baseline-nc-inference", "kernel_id": "21171743"}, {"ref": "jackstapleton/d169-baseline-nc-train", "kernel_id": "21171062"}, {"ref": "devkhant24/swin-transformer-efficientnet", "kernel_id": "21954373"}, {"ref": "dipikajiandani/pawpularity-eda-and-tensorflow-keras", "kernel_id": "21545186"}, {"ref": "sarthakjohnsonprasad/pawpular-pawpularity-eda", "kernel_id": "21781341"}, {"ref": "chumajin/petfinder-eda-lgbm-for-starter-english-version", "kernel_id": "21017306"}, {"ref": "ing37050/effnet-with-yolo", "kernel_id": "21755680"}, {"ref": "tensorchoko/pet-finder-eda", "kernel_id": "21746877"}, {"ref": "anaselmasry/pawpularity-test-cnn-with-keras", "kernel_id": "21428563"}, {"ref": "anaselmasry/pawpularity-baseline-cnn-with-keras", "kernel_id": "21410105"}, {"ref": "ravinderkotwal/xception-model", "kernel_id": "21097600"}, {"ref": "ravinderkotwal/resnet50", "kernel_id": "21094820"}, {"ref": "samyukthamobile/petfinder-automl-submission-in-5-lines", "kernel_id": "21765154"}, {"ref": "nullyousee/train-model-with-exeternal-datasets", "kernel_id": "21358576"}, {"ref": "nullyousee/predict-the-csv-train", "kernel_id": "21008580"}, {"ref": "nur988/svm-classifier", "kernel_id": "21642322"}, {"ref": "bencetar/petfinder-with-fastai-resnet50-pretrained", "kernel_id": "21444570"}, {"ref": "alexvishnevskiy/breed-identification", "kernel_id": "21842352"}, {"ref": "manjunathns/fork-of-petfinder-tpu-rev-01", "kernel_id": "21664336"}, {"ref": "khkuggle/why-not-using-tabular-data-swin-transformer", "kernel_id": "21543922"}, {"ref": "nishantbhansali/custom-dataset-and-resnet-for-pawpularity", "kernel_id": "21326061"}, {"ref": "gbalachandhiran/eda-notebook", "kernel_id": "21040029"}, {"ref": "gbalachandhiran/mobilenetmorenet-with-normalization", "kernel_id": "21641914"}, {"ref": "gbalachandhiran/meta-data-eda", "kernel_id": "21738513"}, {"ref": "markwijkhuizen/petfinder-cats-and-dogs-inference-naive-baseline", "kernel_id": "21095592"}, {"ref": "moritzwilke/petfinder-imagenet-classes", "kernel_id": "21344729"}, {"ref": "karthikeya14/tez-pawpular-tuning", "kernel_id": "21248149"}, {"ref": "shikameow/conv2d-net-rmse-0-21-ru-en", "kernel_id": "21162247"}, {"ref": "egorsheremetov3/meta-features-models", "kernel_id": "21763777"}, {"ref": "dongdori/baseline-vision-transformer-fintuning-with-pytorch", "kernel_id": "21129953"}, {"ref": "keagle/updated-petfinder-fastai-with-dataaugmenta", "kernel_id": "21967994"}, {"ref": "lonnieqin/pawpularity-with-efficientnet-inference", "kernel_id": "21822317"}, {"ref": "lonnieqin/pawpularity-model-with-dnn-on-meta-data", "kernel_id": "21826670"}, {"ref": "lonnieqin/pawpularity-with-efficientnet-training", "kernel_id": "21825318"}, {"ref": "lonnieqin/pawpularity-vision-transformer-from-scratch", "kernel_id": "21054540"}, {"ref": "ishandutta/petfinder-data-augmentations-master-notebook", "kernel_id": "21425317"}, {"ref": "ishandutta/pawpular-eda-understanding-model-w-b", "kernel_id": "21223593"}, {"ref": "nayakroshan/inference-of-pawpularity", "kernel_id": "21121476"}, {"ref": "nayakroshan/pytorch-swin-transformer-folds", "kernel_id": "21069702"}, {"ref": "nischaydnk/swin-inference-384x384-only-images-w-comments", "kernel_id": "21802619"}, {"ref": "nischaydnk/swin-baseline-training-384x384-w-blog", "kernel_id": "21919166"}, {"ref": "ransakaravihara/petfinder-my-pytorch-lightning-vgg", "kernel_id": "21644279"}, {"ref": "pawanjohnson/simple-model-fast-ai", "kernel_id": "21136384"}, {"ref": "sparkyjunior/using-ext-data-stanford", "kernel_id": "21537291"}, {"ref": "debarshichanda/pytorch-hybrid-swin-transformer-cnn", "kernel_id": "21170482"}, {"ref": "lucaspaiva/petfinder-code", "kernel_id": "21538412"}, {"ref": "hamzaboulahia/pawpularity-participation", "kernel_id": "21146128"}, {"ref": "vijayshankar756/petsinception", "kernel_id": "21234708"}, {"ref": "vijayshankar756/dogsratings", "kernel_id": "21415038"}, {"ref": "danielkorth/pawpularity-outlier-prediction", "kernel_id": "21248183"}, {"ref": "vaibhavrmankar/utilizing-tpu-part-1-journey-through-tfrecord", "kernel_id": "21562298"}, {"ref": "maximeperez/first-analysis-of-the-data", "kernel_id": "21465674"}, {"ref": "maximeperez/naive-approach", "kernel_id": "21597029"}, {"ref": "maximeperez/xgboost", "kernel_id": "21721591"}, {"ref": "jtan2231/pet-pawpularity-tf-cnn-5-fold-training", "kernel_id": "21540076"}, {"ref": "jtan2231/fork-of-pet-pawpularity-tf-swin-training", "kernel_id": "21851603"}, {"ref": "adastraz1/first-glance-pawpularity", "kernel_id": "21691430"}, {"ref": "sagnik1511/petfinder-pytorch-dnn", "kernel_id": "21667371"}, {"ref": "manojkumars00/petfinder-pawpularity", "kernel_id": "21035931"}, {"ref": "adityachakma/image-augmentation-metadata-keras", "kernel_id": "21008067"}, {"ref": "hotsonhonet/petfinder-predictions-using-metadata", "kernel_id": "21845468"}, {"ref": "hotsonhonet/petfinder-training-custom-model-over-images", "kernel_id": "21858630"}, {"ref": "hotsonhonet/petfinder-building-image-datasets", "kernel_id": "21875790"}, {"ref": "nonnontra/mr-faruk-non-petffinder", "kernel_id": "21430881"}, {"ref": "akuppps/pawpularity-starter-book-overanalyzed", "kernel_id": "21708665"}, {"ref": "shanmukh05/petfinder-my-flaml-automl", "kernel_id": "21400732"}, {"ref": "naokiwakou/just-to-look-at-cute-animals", "kernel_id": "21113979"}, {"ref": "mikhailsavin/beginners-pytorch-create-dataloader", "kernel_id": "21850419"}, {"ref": "mikhailsavin/pytorch-avgpool-sequential", "kernel_id": "21989994"}, {"ref": "bibhabasumohapatra/not-only-the-meta-data-but-ensembled", "kernel_id": "21162370"}, {"ref": "bibhabasumohapatra/regression-of-pawpularity-of-deep-learning", "kernel_id": "21140534"}, {"ref": "bibhabasumohapatra/submission", "kernel_id": "21251049"}, {"ref": "bibhabasumohapatra/pawpularity-part-2", "kernel_id": "21232510"}, {"ref": "bibhabasumohapatra/my-last-try-as-coder", "kernel_id": "21380999"}, {"ref": "bibhabasumohapatra/classifier-of-pawpularity-of-deep-learning", "kernel_id": "21648374"}, {"ref": "yusufmuhammedraji/petfinder-torchlightning-submission", "kernel_id": "21293524"}, {"ref": "yusufmuhammedraji/petfinder-torchlightning-training", "kernel_id": "21249440"}, {"ref": "showeed/annoy-similar-images-edit2", "kernel_id": "21772159"}, {"ref": "showeed/mobilenetv2-training", "kernel_id": "21219060"}, {"ref": "showeed/image-check", "kernel_id": "21196481"}, {"ref": "skoushik/simple-random-forest-approach", "kernel_id": "21025140"}, {"ref": "nilavanakilan/petfinder-feature-engineering", "kernel_id": "21363260"}, {"ref": "kiranpradeep1811/train-tf-dataset-petfinder-mixed-data-inputs", "kernel_id": "21484116"}, {"ref": "kiranpradeep1811/preprocessing-pawfinder", "kernel_id": "21310797"}, {"ref": "ludovicchangeon/pet-finder-eda-catvsdog-regression", "kernel_id": "21736707"}, {"ref": "abdallahmahmoud/tf-multi-input", "kernel_id": "21525108"}, {"ref": "priyaduttbhatt/feature-engineering-create-dog-cat-label", "kernel_id": "21248378"}, {"ref": "faridrizqis/petfinder-pawpularity-cnn", "kernel_id": "21389419"}, {"ref": "hongseokho/tf-swin", "kernel_id": "21192774"}, {"ref": "nishanthaddagatla/rapids-svr-boost-17-8", "kernel_id": "21041092"}, {"ref": "lazybuttryingfinal/paw-effib4-10fold", "kernel_id": "21741596"}, {"ref": "fadmadahouz/petfinder-eda-from-a-biginner", "kernel_id": "21666681"}, {"ref": "genichiroshimizu/keras-multi-imput-image-resnet50-meta-nn", "kernel_id": "21883973"}, {"ref": "nishantdhingra/pytorch-albumentations-petfinder-my", "kernel_id": "21431960"}, {"ref": "bokobk123123/chia-hung-carry-pytorch-lightning", "kernel_id": "21996097"}, {"ref": "kunihikofurugori/feature-engineering-img-cropimgpca", "kernel_id": "21044182"}, {"ref": "greatpark94/feature-engineering-with-skorch", "kernel_id": "21344383"}, {"ref": "nafiularaf/pawpularity-prediction", "kernel_id": "21268887"}, {"ref": "somesh88/70-epochs-prediction-fast-ai", "kernel_id": "21091863"}, {"ref": "ajiiscbanglore/cutepet-facenet-nn", "kernel_id": "21264563"}, {"ref": "ajiiscbanglore/cutepet-popularity-facenet", "kernel_id": "21262862"}, {"ref": "czs1311/infer", "kernel_id": "21528879"}, {"ref": "noppanutboonrueng/notebookd10bc4c13c", "kernel_id": "21393609"}, {"ref": "phannguyenthe/tf-pawpularity-cnn", "kernel_id": "21348495"}, {"ref": "seeingtimes/just-regression", "kernel_id": "21219628"}, {"ref": "duongchivinh10998/petfinder-swin-lgm-train", "kernel_id": "21135097"}, {"ref": "manyuli/tez-pawpular-tuning", "kernel_id": "21289643"}, {"ref": "manyuli/rapids-svr-boost-17-8-pro", "kernel_id": "21366307"}, {"ref": "elemento/petfinder-w-b", "kernel_id": "21123914"}, {"ref": "elemento/petfinder-meta-features", "kernel_id": "21405914"}, {"ref": "elemento/petfinder-effnetb4-ns-meta-features", "kernel_id": "21349458"}, {"ref": "kishalmandal/xgb-pawpularity-lb-20-7119", "kernel_id": "21276665"}, {"ref": "kishalmandal/ensemble-of-2-best-models-lb-18-02978", "kernel_id": "21490025"}, {"ref": "kishalmandal/eda-of-rapids-svr-actual-vs-pred-comparison", "kernel_id": "21805742"}, {"ref": "kishalmandal/pawpularity-eda-pca-pseudo-labels", "kernel_id": "21610376"}, {"ref": "beyzac/pawpularity-competition", "kernel_id": "21560357"}, {"ref": "ajaysingh04/petfind", "kernel_id": "21871428"}, {"ref": "minglu2021/efficient-model", "kernel_id": "21137742"}, {"ref": "thetkpark/petfinder", "kernel_id": "21391670"}, {"ref": "yaroslavkizyma/eda-kizyma-yaroslav-projector-homework", "kernel_id": "21104079"}, {"ref": "yukiimajuku/petfinder-my-train-image-shape-information", "kernel_id": "21448256"}, {"ref": "anshumansharma002/pawpularitiy", "kernel_id": "21935555"}, {"ref": "anshumansharma002/pawpred", "kernel_id": "21905108"}, {"ref": "takara0515/notebook4d8db1b735", "kernel_id": "21605454"}, {"ref": "alijan21/eda-machine-learning-for-pawpularity", "kernel_id": "21091234"}, {"ref": "oleksiisydorchuk/petfinder-pawpularity-os", "kernel_id": "21061077"}, {"ref": "jillanisofttech/pawpularity-contest-with-svr-new-accuracy", "kernel_id": "21619834"}, {"ref": "nohrud/pawpularity-challenge-svr-lightgbm-deeplearning", "kernel_id": "21405782"}, {"ref": "rhythmcam/tez-timm-pytorch-simple-image-trainer", "kernel_id": "21998733"}, {"ref": "junjitakeshima/beginner-s-experiment-for-multi-input-image-meta", "kernel_id": "21288872"}, {"ref": "victorperrault/pet-pawpularity-v2", "kernel_id": "21914221"}, {"ref": "adityasharma01/rapids-svr-boost-17-97", "kernel_id": "21565932"}, {"ref": "timofeev25/dog-cat", "kernel_id": "21767301"}, {"ref": "yazanmajzob/ranger-optimizer", "kernel_id": "21158587"}, {"ref": "toshikiharaguchi/swin-visualization", "kernel_id": "21048304"}, {"ref": "toshikiharaguchi/swin-add-preprocessing", "kernel_id": "21247632"}, {"ref": "toshikiharaguchi/model-swin", "kernel_id": "21192272"}, {"ref": "sagarikajadon/pawpreds-efficientnetb3-rmse-training", "kernel_id": "21983047"}, {"ref": "ahmedelzamarany/data-mining-pawpularity-contest", "kernel_id": "21889651"}, {"ref": "shakshyathedetector/petfinder-my-pawpularity-contest", "kernel_id": "21164079"}, {"ref": "shakshyathedetector/pawpularity-contest", "kernel_id": "21296504"}, {"ref": "felipeesc/petfinder", "kernel_id": "21771365"}, {"ref": "tetsuroasano/xgboost-resnet-googlenet-densenet", "kernel_id": "21300271"}, {"ref": "encode0/pawpularity", "kernel_id": "21763170"}, {"ref": "mosugi/petfinder2", "kernel_id": "21862143"}, {"ref": "aistraugalait/elasticnet-regression", "kernel_id": "21490440"}, {"ref": "zoubairkachri/dummy-baseline-using-the-mean", "kernel_id": "21399006"}, {"ref": "zoubairkachri/petcount-metada-yolo5x-random-forest-regression", "kernel_id": "21328092"}, {"ref": "ferrariic/submission", "kernel_id": "21710342"}, {"ref": "esratmaria/petfinder-pawpularity-prediction-eda", "kernel_id": "21672949"}, {"ref": "esratmaria/petfinder-kfold-lightgbm", "kernel_id": "21729572"}, {"ref": "esratmaria/petfinder-pawpularity-prediction-xgboost", "kernel_id": "21872850"}, {"ref": "krishadawut/pet-pawpularity-client", "kernel_id": "21527062"}, {"ref": "rajeevranjan21c/pet-finder-public-notebook", "kernel_id": "21486110"}, {"ref": "connect2mahesh/linearregressionpower", "kernel_id": "21033466"}, {"ref": "lowpotential/petfinder-mean-test-size", "kernel_id": "21969458"}, {"ref": "ppchkall/petfinder-efficientnet-starter-training", "kernel_id": "21236242"}, {"ref": "ibukitakeuchi/petfinder", "kernel_id": "21072653"}, {"ref": "neverlim/petsubmit", "kernel_id": "21153848"}, {"ref": "neverlim/petcompetition2", "kernel_id": "21158588"}, {"ref": "lsimulik/pawpets", "kernel_id": "21530149"}, {"ref": "uestchzx/notebookd97ba6b497", "kernel_id": "21221339"}, {"ref": "chiahungyang/two-stage-finetuning-pytorch-lightning", "kernel_id": "21777016"}, {"ref": "yushimaeno/submissionflow", "kernel_id": "21774913"}, {"ref": "nayutaaa/imgs-meta-18-86", "kernel_id": "21793264"}, {"ref": "ohbewise/pawpularity-contest", "kernel_id": "22091339"}, {"ref": "ohbewise/pawpularity-contest-dataset-to-tfrecords", "kernel_id": "22224821"}, {"ref": "titericz/openai-clip", "kernel_id": "22253753"}, {"ref": "julia5/fork-of-mymodel1-17-58540-kagglesore18-06129-organ", "kernel_id": "22021267"}, {"ref": "quantumdamage/petfinder-pawpularity-score-tensorflow", "kernel_id": "22003561"}, {"ref": "yassinealouini/segmented-model", "kernel_id": "22095671"}, {"ref": "anjum48/lb-noise-estimation", "kernel_id": "22302169"}, {"ref": "kozodoi/mean-and-std-of-pet-photos", "kernel_id": "22263579"}, {"ref": "bibhuti93/pawpularity-prediction", "kernel_id": "22735492"}, {"ref": "shringi7/pawpularity-lazy-version", "kernel_id": "22477271"}, {"ref": "narendra/pawpularity-baseline-train-analysis", "kernel_id": "22526656"}, {"ref": "narendra/pawpularity-baseline-training", "kernel_id": "22483679"}, {"ref": "narendra/pawpularity-baseline-submission", "kernel_id": "22514013"}, {"ref": "narendra/basic-eda", "kernel_id": "22459475"}, {"ref": "danielpleus/pet-finder-cnn-tabular-data-in-single-nn", "kernel_id": "22184377"}, {"ref": "avirdee/supplementary-model-photo-metadata", "kernel_id": "22797957"}, {"ref": "christodoulos/petfinder-transfer-learning-w-meta-features", "kernel_id": "22033059"}, {"ref": "a2015003713/petfinder-swinl224-384ensemble-jointregbin", "kernel_id": "22964495"}, {"ref": "kk99807/pawpularity-eda", "kernel_id": "22121475"}, {"ref": "dardodel/petfinder-lessons-learned-have-you-noticed-it", "kernel_id": "22822994"}, {"ref": "dardodel/petfinder-keras-inceptionv3-use-images-only", "kernel_id": "22052342"}, {"ref": "fangya/find-pet-a-home-eda-dtree-cnn", "kernel_id": "22564558"}, {"ref": "saiyanwarrior/same-old-creating-folds", "kernel_id": "22137798"}, {"ref": "harveenchadha/why-this-scores-17-33-on-cv", "kernel_id": "22774535"}, {"ref": "juliengre/using-pawpularity-features-2", "kernel_id": "22943586"}, {"ref": "juliengre/using-pawpularity-features-3", "kernel_id": "22956168"}, {"ref": "juliengre/pawpularity-classification-grouped", "kernel_id": "22996933"}, {"ref": "juliengre/pawpularity-regression-w-metadata-first", "kernel_id": "22998284"}, {"ref": "juliengre/pawpularity-testing-classification-regression", "kernel_id": "22994389"}, {"ref": "juliengre/pawpularity-score-efficientnet-feature-engineering", "kernel_id": "22796254"}, {"ref": "juliengre/pawpularity-score-efficientnetv2-total-fe", "kernel_id": "22865105"}, {"ref": "tenffe/petfindder-with-5-fold-img-size-224-22k", "kernel_id": "22895000"}, {"ref": "tenffe/petfindder-with-5-fold-img-size-224-1k", "kernel_id": "22886344"}, {"ref": "tenffe/infer-pet-fastai", "kernel_id": "22886042"}, {"ref": "tenffe/petfindd-1-trainer-reg", "kernel_id": "22827779"}, {"ref": "tenffe/petfindder-with-5-fold-img-size-384", "kernel_id": "22814398"}, {"ref": "blaneart/inference", "kernel_id": "22709089"}, {"ref": "nexus6roy/extract-extra-data-from-image", "kernel_id": "22010555"}, {"ref": "vladlee/efficientnet-first-try", "kernel_id": "22631601"}, {"ref": "gopalsingh5/petfinder-eda", "kernel_id": "22269195"}, {"ref": "warotjanpinitrat/lovely-doggo-using-rapids-svr-boost", "kernel_id": "22159211"}, {"ref": "warotjanpinitrat/lovely-doggo-with-bonky-fastai-timm", "kernel_id": "22166108"}, {"ref": "tatatatata/pycaret-pawpularity", "kernel_id": "22508700"}, {"ref": "szlky1234/tpu-swin-transformer-tensorflow-9b3de3", "kernel_id": "22834130"}, {"ref": "szlky1234/vit-together", "kernel_id": "22710401"}, {"ref": "ttkagglett/petfinder-make-pseudolabel-dataset", "kernel_id": "22768934"}, {"ref": "ljaem10/competition-pawpularity-jae", "kernel_id": "22097222"}, {"ref": "tsuno0821/tf-inceptionresnetv2", "kernel_id": "22087953"}, {"ref": "saaries/method2", "kernel_id": "22201196"}, {"ref": "saaries/method3", "kernel_id": "22201229"}, {"ref": "saaries/method1", "kernel_id": "22179912"}, {"ref": "abh1jeetpandey/eda-and-efficientnet-for-beginner", "kernel_id": "22882964"}, {"ref": "dailysergey/sber-lightautoml-reg-task-petfinder", "kernel_id": "22047585"}, {"ref": "happycatcat23/petfindder-updated-rules-febff4", "kernel_id": "22269461"}, {"ref": "diazmath/pet-finder", "kernel_id": "22684435"}, {"ref": "agileteam/petfinder-simple-baseline-kr", "kernel_id": "22140465"}, {"ref": "santhoshkumarv/xgboost-model-on-metadata", "kernel_id": "22757823"}, {"ref": "stpeteishii/petfinder-pawpularity-transfer-learning", "kernel_id": "22910707"}, {"ref": "stpeteishii/petfinder-pawpularity-vision-transformer", "kernel_id": "22837138"}, {"ref": "mrinath/swin-svm-infer-v2", "kernel_id": "22758534"}, {"ref": "ytakayama/fastai-very-simple-baseline", "kernel_id": "22935810"}, {"ref": "ytakayama/pytorch-baseline-try-to-reproduce-fastai-notebook", "kernel_id": "22931988"}, {"ref": "tanulsingh077/petfinder-compute-oof-cv-with-tta", "kernel_id": "22862727"}, {"ref": "illustriousdust/tez-pawpular-training", "kernel_id": "22895645"}, {"ref": "markerkor/petfindder-updated-rules-cheol-5fold", "kernel_id": "22350968"}, {"ref": "leventelippenszky/petfinder-learning-rate-finder-pytorch", "kernel_id": "22858218"}, {"ref": "kuposatina/petfinder-starter-pack-basic-idea", "kernel_id": "22107519"}, {"ref": "wltjd54/petfinder-dpark", "kernel_id": "22166267"}, {"ref": "spidermoni/pawpularity-prediction", "kernel_id": "22517007"}, {"ref": "peace1019/using-glcm", "kernel_id": "22841022"}, {"ref": "stefanojp/petfinder-identify-duplicates-for-cleaned-dataset", "kernel_id": "22404453"}, {"ref": "stefanojp/clean-petfinder-fastai-kf-10-mixup-the-best", "kernel_id": "22375683"}, {"ref": "heyytanay/pytorch-trainer-fp16-mixup-kfolds-w-b", "kernel_id": "22243949"}, {"ref": "reighns/petfinder-flexible-pytorch-pipeline", "kernel_id": "22206286"}, {"ref": "rilts5/notebookf095c410bb", "kernel_id": "22156657"}, {"ref": "dheerendrachouhan/concatenation-of-mlp-and-cnn", "kernel_id": "22686054"}, {"ref": "ahmadabdbutt/simple-pawpularity-rf-adaboost-gb-xgb-voting", "kernel_id": "22396026"}, {"ref": "riadalmadani/fast-ai-model-psudolabel", "kernel_id": "22025533"}, {"ref": "riadalmadani/petfindder-swin-384-svr-training-with-extra-data", "kernel_id": "22632269"}, {"ref": "riadalmadani/best-ensamble-with-training-blender", "kernel_id": "22671464"}, {"ref": "riadalmadani/best-ensamble-with-training-final-blender", "kernel_id": "22693606"}, {"ref": "tanselsimsek/petfinder-my-pawpularity-contest", "kernel_id": "22271538"}, {"ref": "enkrish259/notebook78b8402024", "kernel_id": "22717899"}, {"ref": "enkrish259/ensemble-1", "kernel_id": "22719054"}, {"ref": "pjbhaumik/pawpularity-tutorial", "kernel_id": "22752045"}, {"ref": "morenovanton/petfinder-hybrid-swin-transformer-effnet-swin", "kernel_id": "22591460"}, {"ref": "pablolarrosa/pf-pytorch-svr", "kernel_id": "22590297"}, {"ref": "vivek61/fork-of-pet-finder", "kernel_id": "22350069"}, {"ref": "milenasokol/pawpularity-contest-simple-cnn-mlp", "kernel_id": "22709214"}, {"ref": "kurmoy/baseline-cnn", "kernel_id": "22695849"}, {"ref": "samyukthamobile/ridge-rf-dtree-linear-regression-kfold", "kernel_id": "22774985"}, {"ref": "ingloriamori/cnn-regression-last-attempt", "kernel_id": "22751224"}, {"ref": "deeeeeeeplearning/fork-of-petfindder-updated-rules-12ad6c", "kernel_id": "22666749"}, {"ref": "utshabkumarghosh/pawpularity-top-13", "kernel_id": "22835020"}, {"ref": "tom99763/test-polynomial-regression-on-swin-embeddings", "kernel_id": "22812617"}, {"ref": "tom99763/mixup", "kernel_id": "22768071"}, {"ref": "tom99763/training-notebook", "kernel_id": "22738699"}, {"ref": "tom99763/submission2", "kernel_id": "22667949"}, {"ref": "tom99763/label-embedding-method-for-label-representation", "kernel_id": "22595094"}, {"ref": "gbalachandhiran/mobilenet-nested-model", "kernel_id": "22511372"}, {"ref": "gbalachandhiran/mobilenet-class-normalized-only-inference", "kernel_id": "22109084"}, {"ref": "gbalachandhiran/partition-model-regression", "kernel_id": "22433653"}, {"ref": "keagle/petfindder-updated-rules", "kernel_id": "22057116"}, {"ref": "lonnieqin/pawpularity-swin-transformer-from-scratch", "kernel_id": "22037782"}, {"ref": "ferlockx/cross-validation-17-44-in-fastai-pipeline", "kernel_id": "22990017"}, {"ref": "shuntakinami/inception-resnet-v2-using-keras-tensorflow-b16d0-3", "kernel_id": "22485483"}, {"ref": "aniarya/keras-ml-02", "kernel_id": "22358306"}, {"ref": "hamzaboulahia/efficientnets-versions", "kernel_id": "22586958"}, {"ref": "hamzaboulahia/efficientnet-kerastuner-cv-mixup", "kernel_id": "22062138"}, {"ref": "vijayshankar756/inception-rethink", "kernel_id": "22410421"}, {"ref": "vijayshankar756/i2048", "kernel_id": "22127933"}, {"ref": "drtausamaru/petfinder2-yolov5x-swint1-inference", "kernel_id": "22536479"}, {"ref": "azzamradman/tensorflow-swin-transformer-with-metadata", "kernel_id": "22412678"}, {"ref": "vkehfdl1/notebook7b836c6b54", "kernel_id": "22368080"}, {"ref": "vkehfdl1/pawpularity-baseline-efficientnetb0-tf", "kernel_id": "22323766"}, {"ref": "hikarumoriya/petfinder-eda-lgbm-predict", "kernel_id": "22236944"}, {"ref": "nonnontra/fastai-version-mr-non-and-mr-faruk", "kernel_id": "22241411"}, {"ref": "harshbansal27/petfinder-keras", "kernel_id": "22993417"}, {"ref": "harshbansal27/petfinder-using-lgbmregressor-on-meta-data", "kernel_id": "22136992"}, {"ref": "darknesszx/swin-t-fold10-224-infer", "kernel_id": "22486030"}, {"ref": "shanmukh05/petfinder-my-pytorch-training-w-b", "kernel_id": "22241171"}, {"ref": "kimalpha/petfinder-ensemble", "kernel_id": "22284331"}, {"ref": "kimalpha/petfinder-simple-t-sne-fireworks", "kernel_id": "22239819"}, {"ref": "bibhabasumohapatra/tez-pawpular-swin-ference-model-saves", "kernel_id": "22438388"}, {"ref": "bibhabasumohapatra/xgboost-models-saves", "kernel_id": "22066421"}, {"ref": "bibhabasumohapatra/pytorch-ignite-pawpularity", "kernel_id": "22937598"}, {"ref": "showeed/annoy-similar-predict", "kernel_id": "22856046"}, {"ref": "ankitkalauni/pet-finder-noob-me-learning-cnn", "kernel_id": "22177328"}, {"ref": "ccaitlum/pet-pawpularity-regression-with-cnn", "kernel_id": "22117829"}, {"ref": "hemantbhartiya/notebook9e7b70465c", "kernel_id": "22031932"}, {"ref": "mdmustafijurrahman/petfinder-pawpularity-pytorch", "kernel_id": "22878487"}, {"ref": "tomaseida/petfinder", "kernel_id": "22185847"}, {"ref": "tianjunwei/pawpularitydetectorsubmission", "kernel_id": "22421077"}, {"ref": "takoai/simplecnn", "kernel_id": "22024779"}, {"ref": "calvchen/swin-transformer-224-meta", "kernel_id": "22612732"}, {"ref": "fairyandherhat/example-with-pictures", "kernel_id": "22358975"}, {"ref": "malachymoran/the-general", "kernel_id": "22850137"}, {"ref": "agusindra/notebook80de989b5b", "kernel_id": "22333562"}, {"ref": "colander/pawpularity-mvi", "kernel_id": "22439324"}, {"ref": "pythonash/how-to-handle-dataset-for-beginners", "kernel_id": "22897471"}, {"ref": "pythonash/parallel-dnn-and-cnn-network-for-beginners", "kernel_id": "22995192"}, {"ref": "millerrfu/fork-of-fastai-swin-lb-17-00151", "kernel_id": "22779470"}, {"ref": "millerrfu/fastai-swin", "kernel_id": "22760070"}, {"ref": "pranjalchatterjee/cnn-rf-evaluating-pet-pawpularity-petfinder-my", "kernel_id": "22968920"}, {"ref": "masaishi/object-detect-and-eda", "kernel_id": "22901947"}, {"ref": "masaishi/keras-vision-transformer-vit-keras", "kernel_id": "22156957"}, {"ref": "lewiszhang/swin-t-svr-boost", "kernel_id": "22729437"}, {"ref": "smsajideen/torchlightning-basic-skip-nn-meta-data", "kernel_id": "22977605"}, {"ref": "mizoru/pawp-subm", "kernel_id": "22220981"}, {"ref": "gjhlove/swin-t-effb4", "kernel_id": "22525614"}, {"ref": "niutianyi/swin-t-fold10-224-infer", "kernel_id": "22501869"}, {"ref": "olegsidorshin/petfinder-224", "kernel_id": "22310366"}, {"ref": "ghadiyaayush/fastai-with-efficientnet-timm-training-inference", "kernel_id": "22534434"}, {"ref": "ghadiyaayush/pawpularity-with-fastai-swim-transformer", "kernel_id": "22847605"}, {"ref": "hasegawayoshio/notebook7d436da372", "kernel_id": "22340380"}, {"ref": "yutaronagumo0703/tez-pawpular-training", "kernel_id": "22735973"}, {"ref": "minglu2021/transformers", "kernel_id": "22584389"}, {"ref": "matthieubritoantunes/petfinder-pawpularity-score-baseline-tabular-data", "kernel_id": "22850890"}, {"ref": "matthieubritoantunes/convolutional-neural-network-for-image-regression", "kernel_id": "22978488"}, {"ref": "matthieubritoantunes/a-first-neural-network-using-keras", "kernel_id": "22945422"}, {"ref": "masatomurakawamm/petfinder-effnet-v2-vit-xception-ensemble-tf", "kernel_id": "22025908"}, {"ref": "anshumansharma002/mlp-scracth", "kernel_id": "22178702"}, {"ref": "vinayaktiwari28/pawpularity-resnet-predictions-rmse-19-8", "kernel_id": "22702171"}, {"ref": "lokeshsaipureddi/eda-transfer-learning-using-pretrained-weights", "kernel_id": "22333399"}, {"ref": "minsingjin/single-tabular-only", "kernel_id": "22347716"}, {"ref": "minsingjin/copy-ver-facebookid", "kernel_id": "22352733"}, {"ref": "edrickkesuma/100-score-pawpularity-eda-w-fastai", "kernel_id": "22924217"}, {"ref": "edrickkesuma/petfinder-tez-swin-mixup", "kernel_id": "22320006"}, {"ref": "edrickkesuma/pytorch-optuna-hpo-fine-tuning-swin", "kernel_id": "22449273"}, {"ref": "forcewithme/train-multitask-swint-nnhead", "kernel_id": "22062372"}, {"ref": "rhythmcam/resnet50-image-classification", "kernel_id": "22722634"}, {"ref": "rhythmcam/model-petfinder-pawpularity-contest", "kernel_id": "22705541"}, {"ref": "rhythmcam/shutil-basic-internet-off-import-py-file", "kernel_id": "22702607"}, {"ref": "rhythmcam/inference-petfinder-pawpularity-contest", "kernel_id": "22706009"}, {"ref": "rhythmcam/img2vec-basic-petfinder-xgbm", "kernel_id": "22688593"}, {"ref": "rhythmcam/nltk-basic-get-all-hyponyms", "kernel_id": "22734612"}, {"ref": "nishantrajadhyaksha/pawpularity-pytorchlightning-w-b", "kernel_id": "22042364"}, {"ref": "nishantrajadhyaksha/pawpularity-5", "kernel_id": "22040421"}, {"ref": "adityasharma01/fork-of-17-90508-notebook", "kernel_id": "22597680"}, {"ref": "nikhilsatani/petfinder", "kernel_id": "22951995"}, {"ref": "jaipawar/efficientnetb2-stratified-k-fold-image-based-model", "kernel_id": "22982959"}, {"ref": "sagarikajadon/pawpreds-efficientnet-lgbmregressor", "kernel_id": "22403575"}, {"ref": "sagarikajadon/pawpreds-eda-fe-folds-and-stacking-meta-data", "kernel_id": "22185220"}, {"ref": "tianyuq1/notebook476905e203", "kernel_id": "22483747"}, {"ref": "igorjovanovic/tf-swin", "kernel_id": "22020687"}, {"ref": "shakshyathedetector/pawpularity-with-efficientnet-with-socre-18-74", "kernel_id": "22238691"}, {"ref": "yashuwang/petfinder-pawpularity-contest-part-1", "kernel_id": "22187427"}, {"ref": "minsingjinkinghee/kinghee-minsing-jin-tabluar-and-cnn", "kernel_id": "22342781"}, {"ref": "sakkarinpoolsuk/final-model-popularity-prediction-yakdaia-group", "kernel_id": "22304200"}, {"ref": "kimbyoungwook/single-tabular-only", "kernel_id": "22367735"}, {"ref": "kimbyoungwook/tez-pawpular-swin-ference-910", "kernel_id": "22365134"}, {"ref": "motono0223/petfinder-tfrecords-regress-classification", "kernel_id": "22137685"}, {"ref": "vishalkarangale/inceptionv3-10folds-tensorflow", "kernel_id": "22397222"}, {"ref": "bachan/pawpularity-fastai-17-02741-private-lb", "kernel_id": "22590448"}, {"ref": "achan31/modified-tutorial-part-3-cnn-image-modeling-1", "kernel_id": "22503151"}, {"ref": "wanglinlei/crop-img", "kernel_id": "22431438"}, {"ref": "vafaknm/ml-dl-regressions-for-pets-popularity-prediction", "kernel_id": "22308841"}, {"ref": "tany1404/basic-cnn", "kernel_id": "22132106"}, {"ref": "jzhou67/traditional-methods", "kernel_id": "22449927"}, {"ref": "pandalovedeep/pet-pawpularity-using-inceptionv3-and-xgboost", "kernel_id": "22351549"}, {"ref": "matkobarbic/pawpularity-effnet", "kernel_id": "22512802"}, {"ref": "stgkrtua/pet-baseline", "kernel_id": "22254221"}, {"ref": "blackdogwang/python-box", "kernel_id": "22734414"}, {"ref": "bierone/deep-model-training", "kernel_id": "22376719"}, {"ref": "artyomgrishanov/artyomgrishanovmsu2021", "kernel_id": "22440173"}, {"ref": "wcmlgb/notebooke6ea7cbd34", "kernel_id": "22398934"}, {"ref": "nikhilkagitaumass/resnet50", "kernel_id": "22635498"}, {"ref": "taichikakino/resizeman", "kernel_id": "22105599"}, {"ref": "liqizheng/petfinderabaaba", "kernel_id": "22817880"}, {"ref": "mraihanfaa/notebooka20722f5d1", "kernel_id": "22379263"}, {"ref": "reggifachri/petfinder", "kernel_id": "22391563"}, {"ref": "reggifachri/pawpularity-6701194134", "kernel_id": "22326167"}, {"ref": "maulanafadilah/notebooka81673326a", "kernel_id": "22389777"}, {"ref": "maulanafadilah/assesment2-6701191022", "kernel_id": "22376285"}, {"ref": "maulanafadilah/notebooka20722f5d1", "kernel_id": "22380721"}, {"ref": "alfainazzariabustami/submit-kaggle-6701194082", "kernel_id": "22406086"}, {"ref": "deagitaanugerah/dea-gita-anugerah-assessment-2-6701193048", "kernel_id": "22422934"}, {"ref": "fahriel/fahriel", "kernel_id": "22413518"}, {"ref": "dindaputriwidyadhari/dinda-putri-widyadhari-6701194059", "kernel_id": "22423449"}, {"ref": "dionhaffriwahyuputra/6701190093", "kernel_id": "22403610"}, {"ref": "laurasinabariba/laurasinabariba-6701194124", "kernel_id": "22426490"}, {"ref": "yusufmuhamad/notebook595b180c8f", "kernel_id": "22429654"}, {"ref": "faisalbahri/petfinder-6701193069", "kernel_id": "22428010"}, {"ref": "ichsan759/petfinder-6701190098", "kernel_id": "22421784"}, {"ref": "nessialaxmyhestia/nessiabrhutagaol-assessment2-6701190110", "kernel_id": "22424690"}, {"ref": "rakapradipta/assessment-2-eksperimen-6701191037", "kernel_id": "22397086"}, {"ref": "aliffirman/fork-of-assessment2-alif-firman-j", "kernel_id": "22344528"}, {"ref": "rezarizkyrachmansyah/notebook549bb671df", "kernel_id": "22389450"}, {"ref": "ginanatasyamaharaja/notebooka8737c8d97", "kernel_id": "22390116"}, {"ref": "rizkypratamah/6701194088-notebook", "kernel_id": "22341050"}, {"ref": "meizirpnababan/notebook328d5a6cb8", "kernel_id": "22391559"}, {"ref": "sitinurajijah/6701194081", "kernel_id": "22406068"}, {"ref": "dianmanalu/dian-lestari-rumabutar-6701190096", "kernel_id": "22428648"}, {"ref": "htfosterchen/tez-pawpular-swin-ference", "kernel_id": "22510853"}, {"ref": "ryanchristophers/6701190127", "kernel_id": "22409153"}, {"ref": "jhonrahmat/6701193116", "kernel_id": "22409242"}, {"ref": "mihsandf/6701190098-ichsan", "kernel_id": "22429466"}, {"ref": "gohweizheng/swin-transformer-beginner-friendly-notebook", "kernel_id": "22768284"}, {"ref": "gohweizheng/petfinder-first-cnn-model", "kernel_id": "22558555"}, {"ref": "seungsikchoi/petfinder", "kernel_id": "22085444"}, {"ref": "spike8086/petfinder", "kernel_id": "22704115"}, {"ref": "samuelcortinhas/pawpularity-eda-rf-model", "kernel_id": "22358367"}, {"ref": "samuelcortinhas/pawpularity-image-model-transfer-learning", "kernel_id": "22439651"}, {"ref": "zheyiwangriceu/notebook94d224bf3b", "kernel_id": "22341330"}, {"ref": "michaelcarrasco4/pawpularity-prediction-using-yolov5", "kernel_id": "22965299"}, {"ref": "spencerbb/notebook1b4993b418", "kernel_id": "22475258"}, {"ref": "conswang/new-picture-data-notebook", "kernel_id": "22735024"}, {"ref": "p1a2v3e4l5/final-version-dm-leo", "kernel_id": "22767735"}, {"ref": "xiaoxiwang17/msuecon21-wangxiaoxi", "kernel_id": "22532916"}, {"ref": "hliu6019/swin-t-hliu6019", "kernel_id": "22713435"}, {"ref": "kuzminivan/cnn-dense", "kernel_id": "22929429"}, {"ref": "demko1/pet-finder-my-nn-v2", "kernel_id": "22794244"}, {"ref": "zzt0814/just-a-joke", "kernel_id": "22922296"}, {"ref": "yitianru/pet-finder-noob-me-learning-cnn", "kernel_id": "22807781"}, {"ref": "lishaoleung/just-a-joke", "kernel_id": "22968029"}, {"ref": "flukec/pet-paw", "kernel_id": "22214608"}, {"ref": "kxndxkxvw/pawpularity-version-secret", "kernel_id": "22214430"}, {"ref": "hyunwookkwon2/korean-pawpularity-baseline-efficientne-6215bb", "kernel_id": "22367128"}, {"ref": "msueconalinaivanova/msuecon21-alina-ivanova", "kernel_id": "22379444"}, {"ref": "msueconalinaivanova/pawpularity-contest", "kernel_id": "22790880"}, {"ref": "maulanafadilah28/6701191022-2", "kernel_id": "22381493"}, {"ref": "valeriatretyakova/notebook65347b4550", "kernel_id": "22517742"}, {"ref": "ginamaharaja2/notebooka8737c8d97", "kernel_id": "22391418"}, {"ref": "dmitryalexanderov/notebook17247e1dc3-training-img-plus-tab", "kernel_id": "22533535"}, {"ref": "dmitryalexanderov/notebook03149460c2", "kernel_id": "22540199"}, {"ref": "beningramadanmk/petfinder-6701194006", "kernel_id": "22424416"}, {"ref": "parshv2521/parshv", "kernel_id": "22440045"}, {"ref": "haoyuguan/notebookd4357d4e13", "kernel_id": "22596851"}, {"ref": "ooyinv/randomforest", "kernel_id": "22716546"}, {"ref": "ooyinv/msuecon21-wangxiaoxi-64-cnn", "kernel_id": "22673204"}, {"ref": "zxdarkness/swin-t-fold10-224-infer", "kernel_id": "22501139"}, {"ref": "huetruong/notebookd643a8bb3f", "kernel_id": "22759292"}, {"ref": "mkagglemm/cleardraw", "kernel_id": "22939873"}, {"ref": "goodgoodstud1/resnet50-predictions", "kernel_id": "22929172"}, {"ref": "wanweih/resnet50-predictions", "kernel_id": "22928031"}, {"ref": "wanweih/resnet-predictions", "kernel_id": "22812316"}, {"ref": "llibinn/reswin", "kernel_id": "22836092"}, {"ref": "mmaymay/linearswin", "kernel_id": "22903046"}, {"ref": "lucamassaron/fastai-multiple-seeds", "kernel_id": "23779134"}, {"ref": "titericz/imagenet-embeddings-plus-rapids-svr", "kernel_id": "23903068"}, {"ref": "titericz/openai-clip-example", "kernel_id": "23927573"}, {"ref": "titericz/imagenet-embeddings-rapids-svr-finetuned-models", "kernel_id": "23974458"}, {"ref": "cpmpml/pet-064", "kernel_id": "23832786"}, {"ref": "jannish/dolg-categorical-data", "kernel_id": "23974039"}, {"ref": "max237/resnet50-transfer-learning-in-pytorch", "kernel_id": "23644925"}, {"ref": "max237/convnext-transfer-learning-in-pytorch-17-45", "kernel_id": "23853486"}, {"ref": "max237/pytorch-cnn-from-scratch-no-transfer-learning", "kernel_id": "23023421"}, {"ref": "max237/simple-linreg-on-annotations-test-submission", "kernel_id": "23446801"}, {"ref": "tkm2261/model-exp4-0106", "kernel_id": "23683350"}, {"ref": "tkm2261/model-exp8-9-15-0106", "kernel_id": "23683819"}, {"ref": "tkm2261/model-exp7-0106", "kernel_id": "23683425"}, {"ref": "tkm2261/a-notebook-to-get-a-pawpurarity-of-your-pets", "kernel_id": "23905923"}, {"ref": "pokmppokmp/train-swin384-models", "kernel_id": "23509245"}, {"ref": "tonyxu/fork-of-fork-of-baseline-swin-cv-ensemble-7-fe0956", "kernel_id": "23245819"}, {"ref": "bibhuti93/pawpularity-eda-fs", "kernel_id": "23011348"}, {"ref": "blankaf/petfinder-fastai-3-inference-best", "kernel_id": "23722877"}, {"ref": "eliasjneuman/transfer-learning-multiple-kernels", "kernel_id": "23799894"}, {"ref": "eliasjneuman/telekinesisinstance", "kernel_id": "23645327"}, {"ref": "bobber/petfinder-fastai-kf-11-single-pretrain-svr-meta", "kernel_id": "23208498"}, {"ref": "coldfir3/pawpularity-nn-ridge", "kernel_id": "23754768"}, {"ref": "hoomanmisaghi/keras-resnet-101", "kernel_id": "23120304"}, {"ref": "wuyhbb/pawpularity-ensemble-0112", "kernel_id": "23807173"}, {"ref": "harveenchadha/pawpularity-nfolds-effnet-keras-wandb", "kernel_id": "23001304"}, {"ref": "yururoi/stacking-pp-avg-pp-34-defensive-breed-group", "kernel_id": "23770599"}, {"ref": "yururoi/offense-pp-stacking-avg-v030", "kernel_id": "23781223"}, {"ref": "yururoi/offense-stacking-pp-avg-pp-36-b285-b103", "kernel_id": "23781837"}, {"ref": "ryuodan/cnn-tensorflow-approach", "kernel_id": "23017260"}, {"ref": "ryuodan/pet-finder-submission-notebook", "kernel_id": "23705145"}, {"ref": "gokhankesler/simple-silly-efficientnetb0", "kernel_id": "23533529"}, {"ref": "anitho2910/fastai-inference", "kernel_id": "23670326"}, {"ref": "ni7san/tez-pawpular-inference-swin-transformer", "kernel_id": "23690941"}, {"ref": "ni7san/rapids-svr", "kernel_id": "23778016"}, {"ref": "pengyf0709/pawpularity", "kernel_id": "23186869"}, {"ref": "ttkagglett/petfinder-cnn-semi-supervised-training-fastai", "kernel_id": "23351409"}, {"ref": "ttkagglett/petfinder-cnn-training-for-pseudolabel-2-fastai", "kernel_id": "23100119"}, {"ref": "ttkagglett/114th-ensemble-7models-pseudo-and-not-pseudo", "kernel_id": "23889776"}, {"ref": "kaerunantoka/offense-final", "kernel_id": "23862436"}, {"ref": "djagatiya/pawpularity-pytorch-training", "kernel_id": "23398002"}, {"ref": "ktakita/team-merged-ensemble-fixednewmodelsexp029nonmean", "kernel_id": "23850446"}, {"ref": "ktakita/0113-2nd-stage-gbdt-fixed-w-newmodels3", "kernel_id": "23849130"}, {"ref": "ktakita/exp108-inference", "kernel_id": "23672511"}, {"ref": "suryadeepti/find-my-pet-using-csv", "kernel_id": "23153649"}, {"ref": "ytakayama/inference-pytorch-swin-5fold-notta", "kernel_id": "23576132"}, {"ref": "ytakayama/train-pytorch-swin-5fold-some-tips", "kernel_id": "23576267"}, {"ref": "arcsinx/myfirstmodel", "kernel_id": "23281478"}, {"ref": "riadalmadani/inf-final-blender-with-psudolabe-17-epoch", "kernel_id": "23721878"}, {"ref": "enkrish259/ensemble-of-4-best-models", "kernel_id": "23879589"}, {"ref": "pjbhaumik/image-feature-extraction-pca-clustering-regression", "kernel_id": "23643694"}, {"ref": "sender1999/resnet50-pretrained-3stratifiedkfold", "kernel_id": "23112196"}, {"ref": "awaptk/detectron2-download", "kernel_id": "23424995"}, {"ref": "hideyukizushi/petfinder-inf-classregress-z111-z152-zx13-th04", "kernel_id": "23793739"}, {"ref": "hideyukizushi/petfinder-inf-pre-bscheck64-blend-406-z111-06-04", "kernel_id": "23759225"}, {"ref": "shankard/resnet-machine-learning", "kernel_id": "23588805"}, {"ref": "milenasokol/pawpularity-contest-pretrained-googlenet", "kernel_id": "23557022"}, {"ref": "milenasokol/pawpularity-contest-pretrained-nn-boosting", "kernel_id": "23834143"}, {"ref": "milenasokol/pawpularity-contest-pretrained-nn-ensemble", "kernel_id": "23882855"}, {"ref": "saraswatitiwari/petfinder-my-pawpularity-contest", "kernel_id": "23406647"}, {"ref": "saraswatitiwari/petfinder-my", "kernel_id": "23443782"}, {"ref": "kurmoy/fastai-ensemble-with-onehot-dog-cat-feature", "kernel_id": "23838614"}, {"ref": "haplophyrne/fork-of-stackerv2", "kernel_id": "23862385"}, {"ref": "marcuscheong/pawpularity-contest", "kernel_id": "23658811"}, {"ref": "lonnieqin/pawpularity-with-efficientnetb2-finetuning", "kernel_id": "23756564"}, {"ref": "lonnieqin/pawpularity-with-efficientnetb2", "kernel_id": "23569030"}, {"ref": "egorphysics/catboost-hyperopt-on-meta-features", "kernel_id": "23285285"}, {"ref": "mrigendraagrawal/fastai-ensemble-tta-5m-inference-finale", "kernel_id": "23875492"}, {"ref": "kathleenlee/petfinder-pawpularity", "kernel_id": "23007036"}, {"ref": "teyosan1229/petfinder2-nfnet-f3-training", "kernel_id": "23956941"}, {"ref": "drtausamaru/petfinder2-final-inference36", "kernel_id": "23896066"}, {"ref": "drtausamaru/petfinder2-final-inference33", "kernel_id": "23887583"}, {"ref": "nicholasleee/cleardraw", "kernel_id": "23636513"}, {"ref": "harshbansal27/transfer-learning-pet-finder-with-resnet50-basic", "kernel_id": "23002782"}, {"ref": "kotashimomura/fork-of-ens-oofcv", "kernel_id": "23795351"}, {"ref": "bibhabasumohapatra/features-of-not-only-the-meta-data-but-ensembl", "kernel_id": "23756037"}, {"ref": "nilavanakilan/petfinder-swin-svr-fastai-w-yolo", "kernel_id": "23842799"}, {"ref": "praveenck036/pawpularity-score-using-custom-model", "kernel_id": "23625237"}, {"ref": "yamash73/petfinder-ensemble", "kernel_id": "23613555"}, {"ref": "temirlankaliyev/working-efficient-net-with-gpu", "kernel_id": "23796287"}, {"ref": "calvchen/mixup-with-meta", "kernel_id": "23590268"}, {"ref": "kurokurob/infer-of-12th-place-solution", "kernel_id": "23860188"}, {"ref": "shigeria/pawpularity-stacking-sub-new", "kernel_id": "23627669"}, {"ref": "malachymoran/fastai-submission", "kernel_id": "23093005"}, {"ref": "pythonash/how-to-use-csv-and-img-at-the-same-time", "kernel_id": "23295644"}, {"ref": "pythonash/improved-dnn-cnn-models-for-beginners", "kernel_id": "23286687"}, {"ref": "abhisai51/petpawpularity", "kernel_id": "23713043"}, {"ref": "somesh88/pawpularity-please-don-t-be-futile-swin-fastai", "kernel_id": "23592475"}, {"ref": "masaishi/only-lb-is-high", "kernel_id": "23786049"}, {"ref": "masaishi/255th-crop-animals-swin-xcit-nfnet", "kernel_id": "23832921"}, {"ref": "krooz0/resnet-features-and-stacked-regressions", "kernel_id": "23551111"}, {"ref": "krooz0/stacked-regressions", "kernel_id": "23720323"}, {"ref": "bingliangli/emsig", "kernel_id": "23988682"}, {"ref": "olegsidorshin/effnet-456", "kernel_id": "23776967"}, {"ref": "vanchachanell/pawpularity-eda-some-models", "kernel_id": "23075876"}, {"ref": "ninanovikova/pawpularity-prediction-with-efficientnet-b0", "kernel_id": "23937379"}, {"ref": "matthieubritoantunes/multi-input-neural-network-for-image-regression", "kernel_id": "23086085"}, {"ref": "matthieubritoantunes/resnet34-efficientnetb0", "kernel_id": "23312408"}, {"ref": "romanresner/pawpularity-contest-keras-efficientnetb6", "kernel_id": "23423909"}, {"ref": "vinayaktiwari28/notebook-for-beginners-rmse-17-8", "kernel_id": "23696723"}, {"ref": "edrickkesuma/tta-optuna-on-beta-siti-17-55-cv-v2-5kf", "kernel_id": "23643091"}, {"ref": "rhythmcam/make-train-n-fold-csv-new-dataframe", "kernel_id": "23153077"}, {"ref": "himanshubhende/nn-notebook", "kernel_id": "23888585"}, {"ref": "toshikiharaguchi/dog-and-cat-model", "kernel_id": "23247379"}, {"ref": "rizkykiky/lovely-doggo-with-bonky-fastai-timm-671671", "kernel_id": "23725346"}, {"ref": "tegetegeracing/1-clean-petfinder-fastai-kf-10-mixup-the-best", "kernel_id": "23548887"}, {"ref": "parikshitsharma2001/the-nuclear-option-train", "kernel_id": "23901035"}, {"ref": "xinshiwang026/lovely-doggo-with-bonky-fastai-timm-906940", "kernel_id": "23312714"}, {"ref": "martmgi/notebook524596541d", "kernel_id": "23183353"}, {"ref": "stgkrtua/create-petcrop-dataset", "kernel_id": "23113344"}, {"ref": "stgkrtua/swintlarge224-float32-check-memory", "kernel_id": "23934249"}, {"ref": "bhuwanchandra11/cnn-work", "kernel_id": "23636999"}, {"ref": "florianpierre/petfinder", "kernel_id": "23621439"}, {"ref": "gohweizheng/swin-transformer-inference", "kernel_id": "23083298"}, {"ref": "karkisa/n1-pilot", "kernel_id": "23573749"}, {"ref": "yassirmakloul/magiciswear", "kernel_id": "23920749"}, {"ref": "claudiobonetta/claudio-train", "kernel_id": "23722397"}, {"ref": "eileends/pet-cnn", "kernel_id": "23006312"}, {"ref": "zzt0814/zzt12-28", "kernel_id": "23371562"}, {"ref": "arturszczesniak/pawpularitycontest", "kernel_id": "23702049"}, {"ref": "wuhsinwei/notebook68cdcfe411", "kernel_id": "23251509"}, {"ref": "sourabhwarrier/pawpularity", "kernel_id": "23124840"}, {"ref": "crazycth/clean-petfinder-fastai-kf-10-mixup-the-b-023d09", "kernel_id": "23395679"}, {"ref": "jieyeonwoo/simplecnndnnwithattentionlayer", "kernel_id": "23409017"}, {"ref": "titericz/single-image-inference", "kernel_id": "24700054"}, {"ref": "titericz/metadata-recommendation", "kernel_id": "24591346"}, {"ref": "tkm2261/petfinder-2nd-place-model-exp9", "kernel_id": "24058546"}, {"ref": "tkm2261/petfinder-2nd-place-model-exp4", "kernel_id": "24034023"}, {"ref": "tkm2261/petfinder-2nd-place-model-exp7", "kernel_id": "24034141"}, {"ref": "tkm2261/petfinder-2nd-place-model-exp8", "kernel_id": "24034288"}, {"ref": "tkm2261/petfinder-2nd-place-model-exp15", "kernel_id": "24034769"}, {"ref": "tkm2261/petfinder-2nd-place-model-exp20", "kernel_id": "24037455"}, {"ref": "ni7san/beit-l224", "kernel_id": "24375544"}, {"ref": "dwchen/tez-starfish-training", "kernel_id": "24649333"}, {"ref": "dwchen/tez-starfish-inference", "kernel_id": "24650952"}, {"ref": "delepto/last-try", "kernel_id": "24492290"}, {"ref": "delepto/notebookd26679ce93", "kernel_id": "24143959"}, {"ref": "kausheeki01/tf-keras-resizing-an-image-for-vit-model", "kernel_id": "24735293"}, {"ref": "chumajin/play-with-image-embedding", "kernel_id": "24226629"}, {"ref": "bhavinmoriya/tf-keras-learning-to-resize-image-for-vit-model", "kernel_id": "24346934"}, {"ref": "shigemitsutomizawa/9th-place-swinb224-dldl-nn-svr-cat", "kernel_id": "24093430"}, {"ref": "toshihikok/207th-solution", "kernel_id": "24064086"}, {"ref": "duyaxin/emsig-transport-to-cyclostationary", "kernel_id": "24253748"}, {"ref": "duyaxin/emsig-a8a745", "kernel_id": "24240237"}, {"ref": "ni7sanalt/swin-l384v2", "kernel_id": "24375359"}, {"ref": "okayama/openai-clip-example", "kernel_id": "25068876"}, {"ref": "tbass134/petfinder-pawpularity", "kernel_id": "25125520"}, {"ref": "easara/devoxxma22-inspect-your-model", "kernel_id": "25547386"}, {"ref": "ycchanau/transfer-learning-stacking", "kernel_id": "25033023"}, {"ref": "veronikabalbysheva/notebook218c463e42", "kernel_id": "25964203"}, {"ref": "jasonnonstop10/petfinder", "kernel_id": "25218721"}, {"ref": "tieckit/resnet50-only-img", "kernel_id": "25270665"}, {"ref": "mariekrepko/petfinder", "kernel_id": "25299544"}, {"ref": "handudu/tez-swin-ference", "kernel_id": "25206064"}, {"ref": "kun4qi/pawpularity-inference", "kernel_id": "25299755"}, {"ref": "kun4qi/swin-transformer-train-beit", "kernel_id": "25296885"}, {"ref": "yizhengli1996/leon-pet", "kernel_id": "26977750"}, {"ref": "yqryqr/train-swin-t-pytorch-lightning", "kernel_id": "26564789"}, {"ref": "khashayargh/petfinder3-pytorch", "kernel_id": "27351811"}, {"ref": "datakite/petfinder-pawpularity-score-using-fast-ai", "kernel_id": "27691815"}, {"ref": "ipythonx/keras-tfrecord-imagenet-basic-starter-on-tpu-vm", "kernel_id": "28833899"}, {"ref": "linuxdex/use-autogluon-to-predict-pet-adoption", "kernel_id": "28195573"}, {"ref": "kk0071/pet-finder-kk", "kernel_id": "28749823"}, {"ref": "kk0071/petfinder-fin", "kernel_id": "28933738"}, {"ref": "kk0071/pet-finder-kk0707", "kernel_id": "28919709"}, {"ref": "isaacflath/pawpularity-initial", "kernel_id": "29653832"}, {"ref": "isaacflath/pawpularity-full", "kernel_id": "29653526"}, {"ref": "isaacflath/pawpularity-complete", "kernel_id": "29653760"}, {"ref": "isaacflath/pawpularity-test", "kernel_id": "29654203"}, {"ref": "himaniattri/tf-hybrid-efficientnet-swintransformer-himani", "kernel_id": "29991526"}, {"ref": "seunghyeokhong/petfinder-fastai-beginner-typing", "kernel_id": "29055023"}, {"ref": "shreydan/convnext-tiny-lightning-timm", "kernel_id": "29204626"}, {"ref": "kk0071/pet-sample-edi-1", "kernel_id": "29170879"}, {"ref": "tannerbrouillard/pet-photo-analysis", "kernel_id": "29410850"}, {"ref": "bhargavpriyadarshi2/resnet50-feature-extraction-and-xgboost", "kernel_id": "30420856"}, {"ref": "annanwang/cz4041-testing", "kernel_id": "31221874"}, {"ref": "annanwang/imagenet-embeddings-plus-rapids-svr", "kernel_id": "31753086"}, {"ref": "stgkrtua/pytorch-training-timm", "kernel_id": "31266385"}, {"ref": "huangruntao/cuml-svr", "kernel_id": "31804413"}, {"ref": "huangruntao/augmentation-test", "kernel_id": "31125531"}, {"ref": "rh14307/petfinder-v-rh", "kernel_id": "31852414"}, {"ref": "kevcape/cnn-for-pawpularity", "kernel_id": "31880324"}, {"ref": "stgkrtua/pytorch-inference-timm", "kernel_id": "32050028"}, {"ref": "huangruntao/svr-test-full", "kernel_id": "32354546"}, {"ref": "lengwq/pawpularity-lwq", "kernel_id": "33844416"}, {"ref": "kirubhaharini/cnn-final", "kernel_id": "35433227"}, {"ref": "songyud/4041-pawpularity-convnext-training", "kernel_id": "35432497"}, {"ref": "crackcoder1921/pawpularitygroupprojectcomp9417", "kernel_id": "36835781"}, {"ref": "calvinlau360/svr-test", "kernel_id": "36935178"}, {"ref": "yhuang038/ai6102-project", "kernel_id": "37581974"}, {"ref": "chinvoon/pawpularityv1", "kernel_id": "37062877"}, {"ref": "joeairten/cnn-only-proj4662", "kernel_id": "37892272"}, {"ref": "joeairten/svr-test-4662", "kernel_id": "37969379"}, {"ref": "joeairten/xgboost-only-4662", "kernel_id": "37925182"}, {"ref": "xiyan13411/petfinder", "kernel_id": "37244588"}, {"ref": "calvinlau360/notebookf02c603383", "kernel_id": "37203167"}, {"ref": "wizardjr/vgg19", "kernel_id": "37206822"}, {"ref": "wizardjr/vgg16", "kernel_id": "37227368"}, {"ref": "kamatchikrishnan/notebook78f7a364aa", "kernel_id": "37468185"}, {"ref": "xyinspired/swin-transformer-fine-tuning-fer", "kernel_id": "38572243"}, {"ref": "weiweichen90/selftest", "kernel_id": "38511325"}, {"ref": "jhaochen/notebook60631c23a6", "kernel_id": "38648819"}, {"ref": "minghaozhummr/petfinder", "kernel_id": "38161269"}, {"ref": "levandr/notebook96fda167d1", "kernel_id": "38430094"}, {"ref": "ougensei/team-merged-ensemble-fixednewmodelsexp029nonmean", "kernel_id": "38217097"}, {"ref": "benaidlin/tutorial-part-3-cnn-image-modeling-1", "kernel_id": "39652828"}, {"ref": "wendyhsieh/gen-feature-v2", "kernel_id": "39461773"}, {"ref": "izhaketayaharony/notebookec1fe5c704", "kernel_id": "39582484"}, {"ref": "talrozi/tutorial-part-3-cnn-image-modeling-1", "kernel_id": "40299322"}, {"ref": "kfirmeg/assignment-2", "kernel_id": "40323519"}, {"ref": "greghallenbeck/gregs-petfinder", "kernel_id": "42091117"}, {"ref": "patriciapatro/enhancing-animal-adoption-through-data-science", "kernel_id": "42277284"}, {"ref": "ashwin2201/cz4041-pawpularity", "kernel_id": "44962445"}, {"ref": "dhruvchopra2500/epoch", "kernel_id": "44825872"}, {"ref": "dhinkris/petfinder-feature-engineering", "kernel_id": "45657650"}, {"ref": "titan22903/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "45808647"}, {"ref": "channingfisher/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "45634104"}, {"ref": "wenruizhewinston/ai6102-project", "kernel_id": "45458783"}, {"ref": "wenyuanli0326/clip-encodings", "kernel_id": "46960159"}, {"ref": "hugosantiesteban/openai-clip-example", "kernel_id": "46217909"}, {"ref": "weaselonastick/pawpularity", "kernel_id": "47503314"}, {"ref": "wanjiahuang/vit-base-patch16-224-miil-in21k-poisson", "kernel_id": "47754940"}, {"ref": "wanjiahuang/exp7-swin-base-patch4-window12-384", "kernel_id": "47860255"}, {"ref": "ezrealcong/petfinder-2nd-place-model-exp4", "kernel_id": "47490022"}, {"ref": "leebaoa/team-merged-ensemble-fixednewmodelsexp029nonmean", "kernel_id": "47391660"}, {"ref": "xiejiale/team-merged-ensemble-fixednewmodelsexp029no-d017f1", "kernel_id": "47970715"}, {"ref": "juliapshen1608/pshenichnikova-julia-sad-6-lab", "kernel_id": "48403552"}, {"ref": "juliapshen1608/pshenichnikova-julia-4206m-sad-6-lab", "kernel_id": "48537916"}, {"ref": "xiejiale/fork-of-0113-2nd-stage-gbdt-fixed-w-newmodels3", "kernel_id": "48051121"}, {"ref": "dmitriiiakovtsev/computer-vision-6", "kernel_id": "49245566"}, {"ref": "dmitrykhomyakov/khomyakov-4206m-sad-6", "kernel_id": "49249510"}, {"ref": "nikolajhramcov/khramtsov-sad-6", "kernel_id": "50105422"}, {"ref": "stgkrtua/tf-extract-patches-check", "kernel_id": "51641356"}, {"ref": "saiganeshchillara/openai-clip-example", "kernel_id": "51715960"}, {"ref": "nadagamal3/cropping-model", "kernel_id": "52713476"}, {"ref": "nhthongphan/fork-of-fork-of-baseline-swin-cv-ensemble-7-fe0956", "kernel_id": "53427595"}, {"ref": "dflat2003/resnet", "kernel_id": "53510094"}, {"ref": "rohanjha04/pawpularity-ci", "kernel_id": "53045364"}, {"ref": "ngoclmao/pawpularity-efficientnet", "kernel_id": "53484521"}, {"ref": "dominickng/ensemble-test", "kernel_id": "54501924"}, {"ref": "longnguynhuu/clip-model-vietnam-landscapes-classification", "kernel_id": "54187783"}, {"ref": "takwabenaicha/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "55648171"}, {"ref": "pritdudhia/fivp-innovative-505-523", "kernel_id": "55205363"}, {"ref": "pauloeduardocarvalho/codigo-analisepets", "kernel_id": "55985364"}, {"ref": "shadaabahmad1234/notebookb02b5de210", "kernel_id": "57906861"}, {"ref": "raedrokh/visualizing-convolution-filters", "kernel_id": "59110743"}, {"ref": "stpeteishii/petfinder-target-is-pawpularity", "kernel_id": "60947610"}, {"ref": "shadaabahmad1234/notebook89e71450db", "kernel_id": "61541803"}, {"ref": "riadalmadani/using-clip-for-emb", "kernel_id": "64535294"}, {"ref": "henry88877616/notebooka7a040b02e", "kernel_id": "64378578"}, {"ref": "prathamgrover/swintransformer-pytorch-lighting", "kernel_id": "64825887"}, {"ref": "snehitchunarkar/ensembleset-svr-for-pawpularityscore", "kernel_id": "64041723"}, {"ref": "ougensei/notebooka7a040b02e", "kernel_id": "64380872"}, {"ref": "yiiiiiwen/swin-svr-xg", "kernel_id": "64322871"}, {"ref": "esun0720/pawpularity-test", "kernel_id": "64057017"}, {"ref": "dorrinsotoudeh/pawpularity-image-regression", "kernel_id": "65335551"}, {"ref": "sagnikdey7/saras-ai", "kernel_id": "66454985"}, {"ref": "yeeksheng/svr-5-fold", "kernel_id": "70218351"}, {"ref": "jzjamie/notebookfe84f155f2", "kernel_id": "70583450"}, {"ref": "jeffhoho/petpawpularity", "kernel_id": "71138755"}, {"ref": "kawaiiselphine/fork-of-openai-clip-example", "kernel_id": "71763332"}, {"ref": "mikkellacour/notebook69ab5b1f22", "kernel_id": "71239825"}, {"ref": "late0404/sda-lab", "kernel_id": "72751690"}, {"ref": "xopcxopcob/notebook16c16d7513", "kernel_id": "73537766"}, {"ref": "amanzargar/swin-transformer-beginner-friendly-notebook", "kernel_id": "74678959"}, {"ref": "n00vaa/notebooklab", "kernel_id": "74794455"}, {"ref": "pakhomovegor/sda-4", "kernel_id": "74744747"}, {"ref": "rabieouerghicabiste/swin-transformer-efficientnet", "kernel_id": "78191969"}, {"ref": "rabieouerghicabiste/pytorch-hybrid-swin-transformer-cnn", "kernel_id": "78192461"}, {"ref": "rabieouerghicabiste/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "78232418"}, {"ref": "rabieouerghicabiste/tf-keras-hybrid-efficientnet-swin-transformer-tpu", "kernel_id": "78232786"}, {"ref": "binghua1234/imagenet-embeddings-rapids-svr-finetuned-models", "kernel_id": "80072274"}, {"ref": "han108061149/modify-1st-lastlayernn", "kernel_id": "83296983"}, {"ref": "han108061149/modify-1st-nn-wholenn", "kernel_id": "83220004"}, {"ref": "han108061149/modify-1st-lastlayernn-try-new-model", "kernel_id": "83509498"}, {"ref": "yaokaiyeh/pawpularity-final", "kernel_id": "83054403"}, {"ref": "bookoisirsir/modify-1st-lastlayernn", "kernel_id": "83473114"}, {"ref": "drychang/0520-test-xgboost", "kernel_id": "83291647"}, {"ref": "hunhthoi/gregs-petfinder", "kernel_id": "84744777"}, {"ref": "shuvendubosediganta/tf-keras-hybrid-efficientnet-swin-transformer-tpu", "kernel_id": "84610412"}, {"ref": "ks028714/notebook496db4f958", "kernel_id": "85956872"}, {"ref": "taisukehitomi/notebook63027019ce", "kernel_id": "86385038"}, {"ref": "toshikazusemba/notebook627d360b91", "kernel_id": "86385056"}, {"ref": "ny0125/notebook6cb4f8bcd5", "kernel_id": "86385035"}, {"ref": "tunware08/notebookaed500f7ad", "kernel_id": "86385034"}, {"ref": "kosihisa/notebook61d16856a5", "kernel_id": "86385148"}, {"ref": "saiyanwarrior/training-petfinder-my-pawpularity-contest", "kernel_id": "91549208"}, {"ref": "saiyanwarrior/eda-petfinder-my-pawpularity-contest", "kernel_id": "91615689"}, {"ref": "saiyanwarrior/kfold-petfinder-my-pawpularity-contest", "kernel_id": "91616294"}, {"ref": "saiyanwarrior/inference-petfinder-my-pawpularity-contest", "kernel_id": "91620637"}, {"ref": "saiyanwarrior/training-v2-petfinder-my-pawpularity-contest", "kernel_id": "91623824"}, {"ref": "saiyanwarrior/training-v3-petfinder-my-pawpularity-contest", "kernel_id": "91730937"}, {"ref": "saiyanwarrior/inference-v3-petfinder-my-pawpularity-contest", "kernel_id": "91732589"}, {"ref": "saiyanwarrior/opencv-petfinder-my-pawpularity-contest", "kernel_id": "91732919"}, {"ref": "saiyanwarrior/eda-v2-petfinder-my-pawpularity-contest", "kernel_id": "91800656"}, {"ref": "vinayakpaka/vinayak-paka-10118-training-pet-finder", "kernel_id": "91639413"}, {"ref": "abhinavguptade/training-petfinder-my-pawpularity-contest", "kernel_id": "91641038"}, {"ref": "abhinavguptade/inference-petfinder-my-pawpularity-contest", "kernel_id": "91642526"}, {"ref": "abhinavguptade/inference-v3-petfinder-my-pawpularity-contest", "kernel_id": "91827585"}, {"ref": "riyabhurse/23bcs10187-riyabhurse-petfinder-my", "kernel_id": "91822871"}, {"ref": "barrybyte/23bcs10181-abhay-raj-training", "kernel_id": "91639305"}, {"ref": "itswasp/23bcs10146-suraj-kumar-training-pawpularity", "kernel_id": "91639328"}, {"ref": "itswasp/23bcs10146-suraj-kumar-inference-pawpularity", "kernel_id": "91641953"}, {"ref": "medhashree1707/10049-medha-training-petfinder-my", "kernel_id": "91639316"}, {"ref": "medhashree1707/10049-medha-inference-petfinder-my", "kernel_id": "91641990"}, {"ref": "princekumar7999/23bcs10071-princekumar", "kernel_id": "91642549"}, {"ref": "purvanshsahu/purvansh-sahu-10169-training-notebook", "kernel_id": "91639355"}, {"ref": "yashrajml/10102-yashraj-kupekar-training-petfinder-my", "kernel_id": "91639482"}, {"ref": "uditkumarnayak/23bcs10159-udit-nayak-pawpularity-inference", "kernel_id": "91642442"}, {"ref": "uditkumarnayak/23bcs10159-udit-nayak-pawpularity-training", "kernel_id": "91639426"}, {"ref": "ayaanali6786/10094-syedayaanali-training-petfinder", "kernel_id": "91639314"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-inference-pf", "kernel_id": "91642718"}, {"ref": "deysandip301/sandip-dey-23bcs10114-pawpularity-eda", "kernel_id": "91824473"}, {"ref": "deysandip301/sandip-dey-23bcs10114-pawpularity-training", "kernel_id": "91825556"}, {"ref": "deysandip301/23bcs10114-sandip-dey-inference", "kernel_id": "91826512"}, {"ref": "nareshkumarth/23bcs1006-naresh-kumar-t-training", "kernel_id": "91639315"}, {"ref": "gowthamsaiyadav/gowtham-23bcs10168-train-ml-project", "kernel_id": "91639412"}, {"ref": "ruthwikchikoti/ruthwik-chikoti-23bcs10111-siim-cancer-train", "kernel_id": "91640795"}, {"ref": "thehero29/23bcs10059-loukik-thatte-training", "kernel_id": "91640796"}, {"ref": "diptihatwar/10033-diptihatwar", "kernel_id": "91638045"}, {"ref": "thrishalmadasu/23bcs10115-thrishal-training-malenoma", "kernel_id": "91641122"}, {"ref": "vijaygauravkummetha/vijayguarav-10003-training-petfinder-my", "kernel_id": "91640147"}, {"ref": "indrajeetyadav1/10199-indrajeet-yadav-siim-isic-melanoma-training", "kernel_id": "91639339"}, {"ref": "vinayreddyyedula/10083-vinay-inference-petfinder-my", "kernel_id": "91642712"}, {"ref": "hemkeshkantawala/10040-hemkeshkantawala", "kernel_id": "92431040"}, {"ref": "saiyanwarrior/training-siim-isic-melanoma-classification", "kernel_id": "93807015"}, {"ref": "saiyanwarrior/creating-folds-siim-isic-melanoma-classification", "kernel_id": "93807219"}, {"ref": "saiyanwarrior/inference-siim-isic-melanoma-classification", "kernel_id": "93884388"}, {"ref": "srujanreddydharma/23bcs10107-dharmasrujanreddy-siim-isic-k-folds", "kernel_id": "93991820"}, {"ref": "chay2203/naga-chaitanya-23bcs10054", "kernel_id": "93991833"}, {"ref": "bhargav00714b/10140-bhargav-kfold", "kernel_id": "93991794"}, {"ref": "bhargav00714b/10140-bhargav-training", "kernel_id": "93992512"}, {"ref": "spoorthymadasu/spoorthy-madasu-23bcs10144-training-siim", "kernel_id": "93990884"}, {"ref": "spoorthymadasu/spoorthy-madasu-23bcs10144-k-folds-siim", "kernel_id": "93990105"}, {"ref": "medhashree1707/medha-shree-10049-training-melanoma", "kernel_id": "93993329"}, {"ref": "medhashree1707/medha-shree-10049-same-old-creating-folds", "kernel_id": "93996213"}, {"ref": "noorainsyeda/syeda-noorain-23bcs10221-melanoma-fold-creation", "kernel_id": "93987384"}, {"ref": "uditkumarnayak/23bcs10159-udit-nayak-kfold-melanoma", "kernel_id": "93987472"}, {"ref": "vinaykumarchopra/vinay-kumar-chopra-10174", "kernel_id": "93988357"}, {"ref": "vinaykumarchopra/vinay-10174-inference-melanoma", "kernel_id": "93997367"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-inference-siim", "kernel_id": "93995734"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-training-siim", "kernel_id": "93987971"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-k-folds-siim", "kernel_id": "93987370"}, {"ref": "nareshkumarth/23bcs10006-naresh-kumar-t-k-folds", "kernel_id": "93991800"}, {"ref": "ruthwikchikoti/ruthwik-chikoti-10111-inference", "kernel_id": "93995739"}, {"ref": "ruthwikchikoti/ruthwik-chikoti-10111-k-folds-siim", "kernel_id": "93987345"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-kfolds-melanoma", "kernel_id": "93987448"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-inference-melanoma", "kernel_id": "93995726"}, {"ref": "thrishalmadasu/om-sai-thrishal-madasu-23bcs10115-kfold", "kernel_id": "93988025"}, {"ref": "thrishalmadasu/23bcs10115-thrishal-creating-folds-melanoma", "kernel_id": "93992925"}, {"ref": "vijaygauravkummetha/vijaygaurav-10003", "kernel_id": "93991876"}, {"ref": "harsh3446/harsh-kumar-23bcs10021-creating-kfold", "kernel_id": "93987342"}, {"ref": "indrajeetyadav1/2023bcs10199-indrajeet-yadav", "kernel_id": "93987480"}, {"ref": "indrajeetyadav1/23bcs10199-indrajeet-yadav-inference", "kernel_id": "93995915"}, {"ref": "vinayreddyyedula/vinay-training-petfinder-my-pawpularity-contest", "kernel_id": "93992519"}, {"ref": "vinayreddyyedula/vinay-reddy-10083", "kernel_id": "93991799"}, {"ref": "arthurw1935/10038-sourashis-sarkar", "kernel_id": "94512188"}, {"ref": "kushagrakushagras/kushagra-23bcs10165-inference", "kernel_id": "94737969"}, {"ref": "kushagrakushagras/kushagra-23bcs10165-kfold-melenoma", "kernel_id": "94737975"}, {"ref": "kushagrakushagras/23bcs10165-kushagra-train", "kernel_id": "94737787"}, {"ref": "kushagrakushagras/23bcs10165-kushagra-inference", "kernel_id": "94542543"}, {"ref": "kushagrakushagras/23bcs10165-kushagra-kfold", "kernel_id": "94541458"}, {"ref": "kushagrakushagras/23bcs10165-kushagra-training", "kernel_id": "94541533"}, {"ref": "kushagrakushagras/23bcs10165-kushagra-inference-melenoma", "kernel_id": "94741303"}, {"ref": "vinayakpaka/10118vinayak-inference-pawpularity-conte-69087e", "kernel_id": "94523044"}, {"ref": "vinayakpaka/inference-petfinder-my-pawpularity-conte-d8db13", "kernel_id": "94717733"}, {"ref": "vinayakpaka/vinayak-paka-10118-k-folds-1", "kernel_id": "94399316"}, {"ref": "vinayakpaka/vinayak10118kfoldpetfinder-my-pawpularity-contest", "kernel_id": "94486002"}, {"ref": "vinayakpaka/10118-vinayak-paka-training-v3-pawpularity-contest", "kernel_id": "94486893"}, {"ref": "paawanjotkaur/10186-paawanjotkaur-folds", "kernel_id": "94458319"}, {"ref": "paawanjotkaur/10186-paawanjotkaur-creating-folds-siim-isic", "kernel_id": "94738554"}, {"ref": "paawanjotkaur/10186-paawanjotkaur-training-siim-isic", "kernel_id": "94738636"}, {"ref": "paawanjotkaur/10186-paawanjotkaur-inference", "kernel_id": "94519299"}, {"ref": "paawanjotkaur/10186-paawanjotkaur-training", "kernel_id": "94521249"}, {"ref": "ishanavasthi/23bcs10042-ishan-avasthi-inference", "kernel_id": "94525693"}, {"ref": "ishanavasthi/23bcs10042-ishan-avasthi-kfold", "kernel_id": "94521616"}, {"ref": "ishanavasthi/23bcs10042-ishan-avasthi-training", "kernel_id": "94521901"}, {"ref": "abhinavguptade/10090-abhinav-gupta", "kernel_id": "94730825"}, {"ref": "abhinavguptade/10090-abhinav-gupta-training", "kernel_id": "94390588"}, {"ref": "demonsheriff/10217-anant-shukla-training", "kernel_id": "94477682"}, {"ref": "demonsheriff/10217-anant-shukla-inference", "kernel_id": "94478041"}, {"ref": "demonsheriff/10217-anantshukla-training", "kernel_id": "94478064"}, {"ref": "demonsheriff/10217-anant-shukla-kfold", "kernel_id": "94511304"}, {"ref": "demonsheriff/10217-anantshukla-kfold", "kernel_id": "94716493"}, {"ref": "demonsheriff/10217-anantshukla-training-melanoma", "kernel_id": "94716502"}, {"ref": "manjarir/23bcs10192-manjarirathore-inference", "kernel_id": "94523333"}, {"ref": "manjarir/23bcs10192-manjarirathore-training", "kernel_id": "94519287"}, {"ref": "manjarir/23bcs10192-manjarirathore", "kernel_id": "94519059"}, {"ref": "ommishra16/10191-ommishra-trainingpawpularity", "kernel_id": "94519596"}, {"ref": "ommishra16/10191-ommishra-inferencepawpularity", "kernel_id": "94520138"}, {"ref": "ommishra16/10191-ommishra-folds", "kernel_id": "94731290"}, {"ref": "ommishra16/10191-ommishra-kfold", "kernel_id": "94505908"}, {"ref": "sidj09/10103-siddhamjain-training-melanoma", "kernel_id": "94738734"}, {"ref": "sidj09/10103-siddhamjain-training", "kernel_id": "94521976"}, {"ref": "sidj09/10103-siddhamjain-inference", "kernel_id": "94522227"}, {"ref": "sidj09/10103-siddhamjain-kfold", "kernel_id": "94511683"}, {"ref": "ayaankhan2812/10029-ayaan-khan-inference-petfinder-my", "kernel_id": "94521712"}, {"ref": "ayaankhan2812/10029-ayaan-khan-kfold-petfinder", "kernel_id": "94521186"}, {"ref": "ayaankhan2812/10029-ayaan-khan-training-petfinder-my", "kernel_id": "94521417"}, {"ref": "pulsatinggenius/aman-anand-10130", "kernel_id": "94510987"}, {"ref": "pulsatinggenius/inference-aman-anand-10130-pawpularity-contest", "kernel_id": "94521275"}, {"ref": "pulsatinggenius/aman-anand-10130-pawpularity-training", "kernel_id": "94518219"}, {"ref": "dakshkanaujia/kfold-10089-daksh-kanaujia", "kernel_id": "94510912"}, {"ref": "dakshkanaujia/training-10089-dakshkanaujia", "kernel_id": "94508768"}, {"ref": "dakshkanaujia/inference-23bcs10089-dakshkanaujia", "kernel_id": "94507943"}, {"ref": "dakshkanaujia/10089-dakshkanaujia-kfold", "kernel_id": "94708868"}, {"ref": "dakshkanaujia/10089-dakshkanaujia-training", "kernel_id": "94709545"}, {"ref": "dakshkanaujia/10089-dakshkanaujia-inference", "kernel_id": "94730006"}, {"ref": "suryanshshakya/10041-suryansh-training", "kernel_id": "94594758"}, {"ref": "suryanshshakya/10041-suryansh-kfold", "kernel_id": "94616719"}, {"ref": "suryanshshakya/10041-suryansh", "kernel_id": "94532317"}, {"ref": "suryanshshakya/training-v2-petfinder-my-pawpularity-contest", "kernel_id": "94504083"}, {"ref": "srujanreddydharma/23bcs10107-dharmasrujanreddy-k-folds", "kernel_id": "94476206"}, {"ref": "srujanreddydharma/23bcs10107-dharmasrujanreddy-training", "kernel_id": "94476317"}, {"ref": "srujanreddydharma/23bcs10107-dharmasrujanreddy-inference", "kernel_id": "94494361"}, {"ref": "chay2203/naga-chaitanya-v-23bcs10054", "kernel_id": "94506234"}, {"ref": "chay2203/chaitanya-23bcs10054", "kernel_id": "94506648"}, {"ref": "chay2203/naga-training-23bcs10054", "kernel_id": "94508474"}, {"ref": "bhargav00714b/10140-inference", "kernel_id": "94493743"}, {"ref": "bhargav00714b/10140-training", "kernel_id": "94476774"}, {"ref": "bhargav00714b/10140-kfold", "kernel_id": "94476571"}, {"ref": "abhishek13may/training-10065-abhishek-kumar-shah", "kernel_id": "94513747"}, {"ref": "abhishek13may/inference-10065-abhishek-kumar-shah", "kernel_id": "94514939"}, {"ref": "abhishek13may/kfolds-10065-abhishek-kumar-shah", "kernel_id": "94513423"}, {"ref": "abhishek13may/siim-melanoma-training-10065-abhishekkumarshah", "kernel_id": "94709531"}, {"ref": "abhishek13may/siim-melanoma-kfolds-10065-abhishekkumarshah", "kernel_id": "94708852"}, {"ref": "samwiz/23bcs10123-samrudh-training", "kernel_id": "94729949"}, {"ref": "samwiz/23bcs10123-samrudh-creating-folds", "kernel_id": "94729917"}, {"ref": "samwiz/23bcs10123-samrudh-kfold-pawpularity-contest", "kernel_id": "94511036"}, {"ref": "samwiz/23bcs10123-samrudh-inference-pawpularity-contest", "kernel_id": "94514527"}, {"ref": "samwiz/training-samrudh-23bcs10123-pawpularity-contest", "kernel_id": "94513823"}, {"ref": "kauxp26/23bcs10189-paramjeet-inference", "kernel_id": "94521685"}, {"ref": "kauxp26/23bcs10189-paramjeet-training2", "kernel_id": "94521248"}, {"ref": "kauxp26/23bcs10189-paramjeet-kfold", "kernel_id": "94518973"}, {"ref": "rohiththirunagari/10039-thirunagari-rohith-kfold", "kernel_id": "94494782"}, {"ref": "rohiththirunagari/10039-thirunagari-rohith-train", "kernel_id": "94495116"}, {"ref": "rohiththirunagari/10039-thirunagari-rohith-inference", "kernel_id": "94508595"}, {"ref": "riyabhurse/23bcs10187-riyabhurseinferencepetfinder-my", "kernel_id": "94413261"}, {"ref": "riyabhurse/23bcs10187-riyabhurse-kfold-petfinder-my", "kernel_id": "94513248"}, {"ref": "amanyadav207/10055-amanyadav-training", "kernel_id": "94733634"}, {"ref": "amanyadav207/10055-aman-inference-pawpularity-contest0055", "kernel_id": "94513405"}, {"ref": "amanyadav207/10055-amanyadav-training-pawpularity-contest", "kernel_id": "94508052"}, {"ref": "amanyadav207/10055-amanyadav-kfold-pawpularity-contest", "kernel_id": "94509124"}, {"ref": "siddharthbaleja/10161-siddharth-baleja-kfold-pawpularity", "kernel_id": "94478559"}, {"ref": "siddharthbaleja/10161-siddharth-baleja-inference-pawpularity", "kernel_id": "94478306"}, {"ref": "siddharthbaleja/10161-siddharth-baleja-training-pawpularity", "kernel_id": "94479110"}, {"ref": "mayankvashishtt/10177-mayank-vashisht-training-v3-petfinder-my", "kernel_id": "94484229"}, {"ref": "mayankvashishtt/10177-mayank-vashisht-kfold-petfinder-my", "kernel_id": "94483926"}, {"ref": "mayankvashishtt/10177-mayank-vashisht-inference-petfinder-my", "kernel_id": "94513557"}, {"ref": "mayankvashishtt/10177-mayank-vashisht-training-siim-isic", "kernel_id": "94719337"}, {"ref": "swarnim114/2023bcs10139-swarnim-training", "kernel_id": "94486426"}, {"ref": "swarnim114/2023bcs10139-swarnim-inference", "kernel_id": "94486980"}, {"ref": "swarnim114/23bcs10139-swarnim-k-fold", "kernel_id": "94485940"}, {"ref": "swarnim114/2023bcs10139-swarnim-kfold-melonama", "kernel_id": "94634597"}, {"ref": "swarnim114/2023bcs10139-swarnim-traing-siim", "kernel_id": "94635064"}, {"ref": "barrybyte/23bcs10181-abhayraj-kfold-melanoma", "kernel_id": "94714877"}, {"ref": "barrybyte/23bcs10181-abhay-raj-kfold", "kernel_id": "94508187"}, {"ref": "barrybyte/10181-abhay-raj", "kernel_id": "94506325"}, {"ref": "barrybyte/23bcs10181-abhayraj-inference", "kernel_id": "94512355"}, {"ref": "aryanbeethoven/23bcs10080-aryan-choudhary-k-fold", "kernel_id": "94518774"}, {"ref": "aryanbeethoven/creating-folds-siim-isic-melanoma-classification", "kernel_id": "94737696"}, {"ref": "aryanbeethoven/23bcs10080-aryan-choudhary-pawpularity", "kernel_id": "94516978"}, {"ref": "thetallinnov8r/10121-yash-agarwal-inference", "kernel_id": "94494742"}, {"ref": "thetallinnov8r/10121-yash-agarwal-training", "kernel_id": "94479956"}, {"ref": "thetallinnov8r/10121-yash-agarwal-kfold", "kernel_id": "94479748"}, {"ref": "ddevmhrn/10209-debashis-creating-folds-siim-isic-melanoma", "kernel_id": "94738153"}, {"ref": "ddevmhrn/debashis-10209-training-siim-isic-melanoma", "kernel_id": "94738767"}, {"ref": "ddevmhrn/inference-v3-debashis10209-pawpularity", "kernel_id": "94500914"}, {"ref": "ddevmhrn/kfold-debashis10209-pawpularity-contest", "kernel_id": "94514516"}, {"ref": "ddevmhrn/training-debashis10209-pawpularity-contest", "kernel_id": "94513740"}, {"ref": "itswasp/23bcs10146-suraj-kumar-training", "kernel_id": "94160022"}, {"ref": "dar4devil/23bcs10170-aaryapatil-inference", "kernel_id": "94522343"}, {"ref": "dar4devil/23bcs10170-aaryapatil-training", "kernel_id": "94521870"}, {"ref": "dar4devil/10170-aaryapatil-melanoma-kfold", "kernel_id": "94726149"}, {"ref": "dar4devil/10170-aaryapatil-melanoma-training", "kernel_id": "94730108"}, {"ref": "dar4devil/23bcs10170-aaryapatil-kfold", "kernel_id": "94514604"}, {"ref": "fenixailes/10035-kushi-melanoma-training", "kernel_id": "94733676"}, {"ref": "harshpancha1/harsh-kumar-panchal-10087-inference-notebook", "kernel_id": "94519182"}, {"ref": "harshpancha1/harsh-kumar-panchal-10087-training-notebook", "kernel_id": "94518846"}, {"ref": "harshpancha1/harsh-kumar-panchal-10087-k-fold-notebook", "kernel_id": "94518637"}, {"ref": "harshpancha1/10087-harsh-panchal-training-siim-isic", "kernel_id": "94735588"}, {"ref": "harshpancha1/10087-harsh-panchal-k-folds-siim-isic", "kernel_id": "94735430"}, {"ref": "prathmeshbhardwaj/10025-prathmesh-k-fold-melanoma", "kernel_id": "94709827"}, {"ref": "prathmeshbhardwaj/10025-prathmesh-training", "kernel_id": "94710024"}, {"ref": "prathmeshbhardwaj/23bcs10025-prathmesh-k-fold", "kernel_id": "94513182"}, {"ref": "prathmeshbhardwaj/23bcs10025-prathmesh-inference", "kernel_id": "94514390"}, {"ref": "prathmeshbhardwaj/23bcs10025-prathmesh-training", "kernel_id": "94513541"}, {"ref": "vatsal3064/10101-vatsal-omar-kfold-sim", "kernel_id": "94736593"}, {"ref": "vatsal3064/23bcs10101-vatsal-kfold", "kernel_id": "94519689"}, {"ref": "vatsal3064/23bcs10101-vatsal-inference", "kernel_id": "94520491"}, {"ref": "vatsal3064/23bcs10101-vatsal-training", "kernel_id": "94520178"}, {"ref": "godharsh/23bcs10066-harsh-kumar-inference", "kernel_id": "94518929"}, {"ref": "godharsh/23bcs10066-harsh-kumar-training", "kernel_id": "94518350"}, {"ref": "godharsh/23bcs10066-harsh-kumar-kfold", "kernel_id": "94518139"}, {"ref": "spoorthymadasu/10144-spoorthy-madasu-inference-siim-isic", "kernel_id": "94522297"}, {"ref": "spoorthymadasu/10144-spoorthy-madasu-training-v3", "kernel_id": "94522229"}, {"ref": "medhashree1707/10049-medha-same-old-creating-kfolds-pawpularity", "kernel_id": "94517799"}, {"ref": "noorainsyeda/23bcs10221-syeda-noorain-pawpularity-folds", "kernel_id": "94251961"}, {"ref": "noorainsyeda/syeda-noorain-23bcs10221-melanoma-training", "kernel_id": "94131059"}, {"ref": "noorainsyeda/syeda-noorain-23bcs10221-melanoma-inference", "kernel_id": "94150093"}, {"ref": "mlayank/10069-mayank-gupta-kfold-siim", "kernel_id": "94698174"}, {"ref": "mlayank/10069-mayank-gupta-training-siim", "kernel_id": "94698441"}, {"ref": "mlayank/10069-mayank-gupta-kfold", "kernel_id": "94508509"}, {"ref": "mlayank/10069-mayank-gupta-inference", "kernel_id": "94509814"}, {"ref": "mlayank/10069-mayank-gupta-training", "kernel_id": "94509330"}, {"ref": "ashwinsaklecha/10212-ashwin-saklecha-inference", "kernel_id": "94408614"}, {"ref": "ashwinsaklecha/10212-ashwin-saklecha-training", "kernel_id": "94406130"}, {"ref": "ashwinsaklecha/10212-ashwin-saklecha-k-folds", "kernel_id": "94510773"}, {"ref": "purvanshsahu/purvansh-sahu-10169-siim-melanoma-training1", "kernel_id": "94734084"}, {"ref": "purvanshsahu/purvansh-sahu-10169-siim-k-fold-notebook1", "kernel_id": "94733963"}, {"ref": "purvanshsahu/purvansh-sahu-10169-k-fold-notebook", "kernel_id": "94513609"}, {"ref": "purvanshsahu/purvansh-sahu-10169-inference-notebook", "kernel_id": "94512805"}, {"ref": "yashrajml/10102-yashraj-kupekar-inference-petfinder-my", "kernel_id": "94504431"}, {"ref": "yashrajml/10102-yashraj-kupekar-kfold-petfinder-my", "kernel_id": "94510325"}, {"ref": "yashrajml/10102-yashraj-kupekar-training-siim-isic", "kernel_id": "94733178"}, {"ref": "yashrajml/10102-yashraj-kupekar-creating-folds-siim-isic", "kernel_id": "94733042"}, {"ref": "shivamgoelml/shivamgoel-10131-fork-of-same-old-creating-folds", "kernel_id": "94045186"}, {"ref": "uditkumarnayak/23bcs10159-udit-nayak-pawpularity-k-fold", "kernel_id": "94511942"}, {"ref": "nobitan0bi/10019priyanshukfold", "kernel_id": "94519769"}, {"ref": "nobitan0bi/10019priyanshu-train", "kernel_id": "94522698"}, {"ref": "nobitan0bi/10019priyanshu-inference", "kernel_id": "94520455"}, {"ref": "venkateshalampally/10095-venkatesh-training-petfinder-my", "kernel_id": "94513353"}, {"ref": "venkateshalampally/10095-venkatesh-inference-petfinder-my", "kernel_id": "94516565"}, {"ref": "venkateshalampally/10095-venkatesh-kfold-petfinder-my", "kernel_id": "94509142"}, {"ref": "purabray/notebook9531728476", "kernel_id": "94344754"}, {"ref": "purabray/10196-purab-ray", "kernel_id": "94506781"}, {"ref": "purabray/10196-purab-ray-test-inference", "kernel_id": "94519946"}, {"ref": "purabray/10196-purab-ray-kfolds", "kernel_id": "94519744"}, {"ref": "purabray/10196-purab-ray-training", "kernel_id": "94725353"}, {"ref": "ishita1406/10188-ishita-k-fold-melanoma", "kernel_id": "94523182"}, {"ref": "ishita1406/10188-ishita-training", "kernel_id": "94489017"}, {"ref": "ishita1406/10188-ishita-inference", "kernel_id": "94489027"}, {"ref": "ayaanali6786/10094-syedayaanali-kfold", "kernel_id": "94516484"}, {"ref": "ayaanali6786/10094-syedayaanali-inference-petfinder", "kernel_id": "94514736"}, {"ref": "ayaanali6786/10094-syedayaanali-training-siim-isic", "kernel_id": "94735117"}, {"ref": "ayaanali6786/10094-syedayaanali-creating-folds-siim-isic", "kernel_id": "94734843"}, {"ref": "itsharshitgoel/harshit-goel-10149-training-siim-isic", "kernel_id": "94716140"}, {"ref": "itsharshitgoel/harshitgoel10149petfinder-my-pawpularity-contest", "kernel_id": "94504948"}, {"ref": "itsharshitgoel/inference-petfinder-my-pawpularity-contest", "kernel_id": "94486516"}, {"ref": "itsharshitgoel/harshit-goel-10149pawpularity", "kernel_id": "94474733"}, {"ref": "itsharshitgoel/training-petfinder-my-pawpularity-contest", "kernel_id": "94475283"}, {"ref": "sarthakpandeyhere/10179-sarthak-pandey-training", "kernel_id": "94477889"}, {"ref": "sarthakpandeyhere/10179-sarthak-pandey-k-fold", "kernel_id": "94510725"}, {"ref": "sarthakpandeyhere/10179-sarthak-pandey-inference", "kernel_id": "94511030"}, {"ref": "sarthakpandeyhere/10179-sarthakpandey-k-fold-siim", "kernel_id": "94720158"}, {"ref": "sarthakpandeyhere/10179-sarthakpandey-training-siim", "kernel_id": "94720256"}, {"ref": "irisiri23/suswetha-10166-fold-creation", "kernel_id": "94510980"}, {"ref": "irisiri23/suswetha-10166-training-pawpularity-contest", "kernel_id": "94486334"}, {"ref": "irisiri23/suswetha-10166-inference-pawpularity-contest", "kernel_id": "94485773"}, {"ref": "vinaykumarchopra/vinay-10174-training-siim-isic", "kernel_id": "94714617"}, {"ref": "vinaykumarchopra/10174-vinay-kumar-chopra", "kernel_id": "94465487"}, {"ref": "vinaykumarchopra/vinay-10174", "kernel_id": "94509896"}, {"ref": "shrimaysomani/shrimay-somani-23bcs10117-pawpularity", "kernel_id": "94331001"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-kfolds", "kernel_id": "94515912"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-inference", "kernel_id": "94485570"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-training", "kernel_id": "94495329"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-foldssiim", "kernel_id": "94633735"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-trainingsiim", "kernel_id": "94634883"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-training-pf", "kernel_id": "94406645"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurgan-kfold-pf", "kernel_id": "94403896"}, {"ref": "shezamishal/mishal-sheza-1018-inference-pawpularity-contest", "kernel_id": "94519726"}, {"ref": "shezamishal/mishal-sheza-10184-creating-folds", "kernel_id": "94511909"}, {"ref": "shezamishal/mishal-sheza-10184-training-v3-pawpularity-contest", "kernel_id": "94512170"}, {"ref": "deysandip301/10114-sandipdey-kfold", "kernel_id": "94411161"}, {"ref": "shivamt14/23bcs10104-shivam-tiwari-kfold", "kernel_id": "94517412"}, {"ref": "shivamt14/23bcs10104-shivam-tiwari-training", "kernel_id": "94517613"}, {"ref": "shivamt14/23bcs10104-shivam-tiwari-inference", "kernel_id": "94519214"}, {"ref": "shivamt14/23bcs-shivam-tiwari-trainings", "kernel_id": "94726220"}, {"ref": "shivamt14/23bcs10104-shivam-tiwari-kfolds", "kernel_id": "94726041"}, {"ref": "omwaghchavare/10142-om-isic-melanoma-classification", "kernel_id": "94726063"}, {"ref": "omwaghchavare/10142-om-waghchavare", "kernel_id": "94506791"}, {"ref": "omwaghchavare/omwaghchavare-10142-isic-melanoma-classification", "kernel_id": "94464750"}, {"ref": "nareshkumarth/23bcs10006-naresh-kumar-t-inference", "kernel_id": "94002762"}, {"ref": "nareshkumarth/inference-naresh-23bcs10006-pawpularity", "kernel_id": "94506398"}, {"ref": "nareshkumarth/naresh-23bcs10006-training-pawpularity", "kernel_id": "94489806"}, {"ref": "nareshkumarth/naresh-23bcs10006-kfold-petfinder-pawpularity", "kernel_id": "94489467"}, {"ref": "kohantikanath/kohantika-10097-petfinder", "kernel_id": "94393054"}, {"ref": "kohantikanath/10097-kohantikanath", "kernel_id": "94372814"}, {"ref": "harshsinghania04/harsh-vardhan-singhania-10171-siim-training", "kernel_id": "94718590"}, {"ref": "harshsinghania04/10171-harsh-vardhan-singhania", "kernel_id": "94481975"}, {"ref": "harshsinghania04/10171-harsh-vardhan-singhania-training", "kernel_id": "94510338"}, {"ref": "harshsinghania04/10171-harsh-vardhan-singhania-kfold", "kernel_id": "94509081"}, {"ref": "harshsinghania04/10171-harsh-vardhan-singhania-inference", "kernel_id": "94515126"}, {"ref": "gowthamsaiyadav/gowtham-23bcs10168-inference-petfinder", "kernel_id": "94506710"}, {"ref": "gowthamsaiyadav/gowtham-23bcs10168-train-petfinder", "kernel_id": "94492459"}, {"ref": "gowthamsaiyadav/gowtham-23bcs10168-pawpularity-contest", "kernel_id": "94492304"}, {"ref": "gowthamsaiyadav/gowtham-23bcs10168-ml-project", "kernel_id": "94470108"}, {"ref": "gowthamsaiyadav/gowtham-23bcs10168-inference-custom", "kernel_id": "94720662"}, {"ref": "ruthwikchikoti/ruthwik-chikoti-10111-inference-pawpularity", "kernel_id": "94473378"}, {"ref": "ruthwikchikoti/ruthwik-chikoti-10111-pawpularity-training", "kernel_id": "94473348"}, {"ref": "ruthwikchikoti/ruthwik-chikoti-10111-petfinder-kfolds", "kernel_id": "94473331"}, {"ref": "svgharsh983/10098-harsh-kumar-kfold-melanoma", "kernel_id": "94735749"}, {"ref": "svgharsh983/10098-harsh-kumar-training-melanoma", "kernel_id": "94737739"}, {"ref": "svgharsh983/10098-harshkumar-kfold", "kernel_id": "94521454"}, {"ref": "devharshkumar77/k-folds-10116-harshkumar", "kernel_id": "94520061"}, {"ref": "devharshkumar77/inference-10116-harshkumar", "kernel_id": "94518425"}, {"ref": "devharshkumar77/training-10116-harshkumar", "kernel_id": "94529608"}, {"ref": "devharshkumar77/10116-harshkumar-k-folds", "kernel_id": "94737392"}, {"ref": "sachannharshit/10134-harshit-sachan-kfold", "kernel_id": "94508777"}, {"ref": "sachannharshit/10134-harshit-sachan-training", "kernel_id": "94509259"}, {"ref": "sachannharshit/10134-harshit-sachan-inference", "kernel_id": "94503993"}, {"ref": "satyamydv9/satyam-yadav-23bcs10198-training-pf", "kernel_id": "94509238"}, {"ref": "satyamydv9/10198-satyam-inference", "kernel_id": "94508003"}, {"ref": "satyamydv9/10198-satyamyadav-k-fold", "kernel_id": "94517458"}, {"ref": "satyamydv9/10198satyam-yadav-training-melanoma", "kernel_id": "94715621"}, {"ref": "satyamydv9/10198-satyam-yadav-kfolds", "kernel_id": "94729081"}, {"ref": "satyamydv9/10198-satyam-yadav-training", "kernel_id": "94518299"}, {"ref": "satyamydv9/10198-satyamyadav-training", "kernel_id": "94519856"}, {"ref": "satyamydv9/10198-satyamyadav-trainingpf", "kernel_id": "94520560"}, {"ref": "thehero29/23bcs10050-loukik-thatte-melanoma-training", "kernel_id": "94730946"}, {"ref": "thehero29/23bcs10059-loukik-thatte-k-folds", "kernel_id": "94522723"}, {"ref": "thehero29/23bcs10059-loukik-thatte-inference", "kernel_id": "94519493"}, {"ref": "adarshsinghtomar2004/10031-adarshsinghtomar-kfold", "kernel_id": "94520213"}, {"ref": "adarshsinghtomar2004/10031-adarsh-training-siim-isic", "kernel_id": "94735405"}, {"ref": "adarshsinghtomar2004/10031-adarsh-creating-folds-siim-isic", "kernel_id": "94735289"}, {"ref": "adarshsinghtomar2004/10031-adarshsinghtomar-training", "kernel_id": "94517124"}, {"ref": "adarshsinghtomar2004/10031-adarshsinghtomar-inference", "kernel_id": "94517157"}, {"ref": "diptihatwar/diptihatwar-10033-inference", "kernel_id": "94679237"}, {"ref": "diptihatwar/10033-dipti-hatwar", "kernel_id": "94523405"}, {"ref": "aatmikpanse/10082-aatmik-csv", "kernel_id": "94518364"}, {"ref": "aatmikpanse/10082-aatmik-train", "kernel_id": "94518397"}, {"ref": "aatmikpanse/10082-aatmik-inference", "kernel_id": "94518405"}, {"ref": "aatmikpanse/10082-aatmik-training", "kernel_id": "94730798"}, {"ref": "aatmikpanse/10082-aatmik-kfold", "kernel_id": "94730471"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-kfolds-pawpularity", "kernel_id": "94520143"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-training-melanoma", "kernel_id": "94725462"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-inference-pawpularity", "kernel_id": "94187167"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-training-pawpularity", "kernel_id": "94179076"}, {"ref": "rushhaabhhhh/rushabh-mistry-10197-eda-pawpularity", "kernel_id": "94178080"}, {"ref": "neeldholiya/10022-neel-dholiya", "kernel_id": "94366983"}, {"ref": "kartikdeshpande2810/kartik-10141-folds-melanoma-classifier", "kernel_id": "94727455"}, {"ref": "kartikdeshpande2810/kartik-10141-training-melanoma-class", "kernel_id": "94731336"}, {"ref": "kartikdeshpande2810/kartik-10141-creating-folds-pawpularity", "kernel_id": "94508614"}, {"ref": "kartikdeshpande2810/kartik-10141-training-pawpularity", "kernel_id": "94509251"}, {"ref": "kartikdeshpande2810/kartik-10141-inference-pawpularity", "kernel_id": "94511555"}, {"ref": "suryanshai/petfinder-my-pawpularity", "kernel_id": "94518154"}, {"ref": "suryanshai/petfinder-my-pawpularity-contest", "kernel_id": "94517807"}, {"ref": "suryanshai/10089-suryanshdubey-training", "kernel_id": "94739641"}, {"ref": "suryanshai/10089-suryanshdubey-kfold", "kernel_id": "94739646"}, {"ref": "suryanshai/submission-csv", "kernel_id": "94516749"}, {"ref": "divpandey/2023bcs10085-divyanshupandey-kfold", "kernel_id": "94512275"}, {"ref": "divpandey/10085-divyanshupandey-training-siim-isic-melanoma", "kernel_id": "94736490"}, {"ref": "divpandey/10085-divyanshupandey-kfold-siim-isic-melanoma", "kernel_id": "94736269"}, {"ref": "divpandey/2023bcs10085-divyanshupandey-training", "kernel_id": "94519991"}, {"ref": "divpandey/2023bcs10085-divyanshupandey-inference", "kernel_id": "94520308"}, {"ref": "utkershbasnet/10105-utkershbasnet-training-melanoma", "kernel_id": "94709573"}, {"ref": "utkershbasnet/10105-utkershbasnet-kfold-melanoma", "kernel_id": "94709027"}, {"ref": "utkershbasnet/10105-utkersh-basnet-kfold", "kernel_id": "94508985"}, {"ref": "utkershbasnet/10105-utkersh-basnet-inference", "kernel_id": "94512520"}, {"ref": "utkershbasnet/10105-utkersh-basnet-training", "kernel_id": "94510593"}, {"ref": "zkk555/23bcs10020-sushant-singh-chauhan-training", "kernel_id": "94716724"}, {"ref": "zkk555/23bcs10020-sushant-singh-chauhan-kfold", "kernel_id": "94725223"}, {"ref": "zkk555/10020-sushant-singh-chauhan-inference", "kernel_id": "94517055"}, {"ref": "zkk555/10020-sushant-singh-chauhan-training", "kernel_id": "94510250"}, {"ref": "zkk555/10020-sushant-singh-chauhan-kfold", "kernel_id": "94509218"}, {"ref": "amruthacakaggle/10158-amrutha-creating-folds", "kernel_id": "94716153"}, {"ref": "amruthacakaggle/training-10158-amrutha", "kernel_id": "94716434"}, {"ref": "amruthacakaggle/10158-amrutha-kfold", "kernel_id": "94509396"}, {"ref": "amruthacakaggle/10158-amrutha-inference", "kernel_id": "94509701"}, {"ref": "amruthacakaggle/10158-amrutha-training", "kernel_id": "94508527"}, {"ref": "amruthacakaggle/10158-amrutha", "kernel_id": "94504680"}, {"ref": "mahakjuriani/mahak-juriani-23bcs10008-pawpularity-inference", "kernel_id": "94508678"}, {"ref": "mahakjuriani/mahak-juriani-23bcs10008-pawpularity-kfolds", "kernel_id": "94511347"}, {"ref": "mahakjuriani/mahak-juriani-23bcs10008-pawpularity-training", "kernel_id": "94512705"}, {"ref": "mahakjuriani/mahak-juriani-23bcs10008-pawpularity-training-v3", "kernel_id": "94515319"}, {"ref": "thrishalmadasu/23bcs10115-thrishal-inference-pawpularity-contest", "kernel_id": "94510312"}, {"ref": "thrishalmadasu/23bcs10115-thrishal-kfold-petfinder", "kernel_id": "94508727"}, {"ref": "thrishalmadasu/23bcs10115-thrishal-training-v3-pawpularitycontest", "kernel_id": "94509173"}, {"ref": "surajguduru/10012-suraj-guduru-inference-pawpularity", "kernel_id": "94492383"}, {"ref": "surajguduru/10012-suraj-guduru-k-folds-pawpularity", "kernel_id": "94509934"}, {"ref": "adi0311/aditya-23bcs10007-inference-pawpularity", "kernel_id": "94505806"}, {"ref": "adi0311/aditya-23bcs10007-kfolds-pawpularity", "kernel_id": "94503903"}, {"ref": "adi0311/aditya-23bcs10007-training-pawpularity", "kernel_id": "94504156"}, {"ref": "tamix18/10133-tamannamohan-k-fold", "kernel_id": "94505317"}, {"ref": "tamix18/23bcs10133-tamannamohan-inference", "kernel_id": "94505382"}, {"ref": "tamix18/23bcs10133-tamannamohan-training", "kernel_id": "94505387"}, {"ref": "jenabishal/10096-bishaljena-kfolds-melanoma", "kernel_id": "94739664"}, {"ref": "jenabishal/10096-bishaljena-training-melanoma", "kernel_id": "94739771"}, {"ref": "jenabishal/23bcs10096-bishaljena-kfold", "kernel_id": "94512730"}, {"ref": "jenabishal/23bcs10096-bishaljena-inference", "kernel_id": "94515601"}, {"ref": "jenabishal/23bcs10096-bishaljena-train", "kernel_id": "94513622"}, {"ref": "jashsavaliya/23bcs10163-jash-savaliya-k-fold", "kernel_id": "94513410"}, {"ref": "jashsavaliya/10163-jash-savaliya-k-fold", "kernel_id": "94513043"}, {"ref": "jashsavaliya/10163-jash-savaliya-training-pawpularity", "kernel_id": "94509049"}, {"ref": "jashsavaliya/10163-jash-savaliya-inference-pawpularity", "kernel_id": "94466183"}, {"ref": "jashsavaliya/10163-jash-savaliya-k-fold-melanoma", "kernel_id": "94733442"}, {"ref": "jashsavaliya/10163-jash-savaliya-training-melanoma", "kernel_id": "94715949"}, {"ref": "bhav55/10088-bhavya-jain-training-pawpularity", "kernel_id": "94518793"}, {"ref": "bhav55/10088-bhavya-jain-kfolds-pawpularity", "kernel_id": "94518729"}, {"ref": "bhav55/10088-bhavya-jain-inference-pawpularity", "kernel_id": "94518866"}, {"ref": "naitikjain921/10214-naitik-jain-kfolds-pawpularity", "kernel_id": "94243547"}, {"ref": "naitikjain921/10214-naitik-jain-training-pawpularity", "kernel_id": "94244615"}, {"ref": "naitikjain921/10214-naitik-jain-creating-folds-melanoma", "kernel_id": "94362838"}, {"ref": "naitikjain921/10214-naitik-jain-inference-pawpularity", "kernel_id": "94275355"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-kfolds-pawpularity", "kernel_id": "94243545"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-training-pawpularity", "kernel_id": "94243767"}, {"ref": "aannaannyaaa/ananya-srivastava-10195-eda-pawpularity", "kernel_id": "94242593"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-inference-pawpularity", "kernel_id": "94263649"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-kfolds-melanoma", "kernel_id": "94342926"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-training-melanoma", "kernel_id": "94343054"}, {"ref": "adityasinghrajput45/10148-aditya-kfold-petfinder-my", "kernel_id": "94487539"}, {"ref": "adityasinghrajput45/10148-aditya-training-petfinder-my", "kernel_id": "94487670"}, {"ref": "adityasinghrajput45/10148-aditya-inference-petfinder-my", "kernel_id": "94500550"}, {"ref": "adityasinghrajput45/10148-aditya-inference-melanoma", "kernel_id": "94716349"}, {"ref": "adityasinghrajput45/10148-aditya-kfold-melanoma-my", "kernel_id": "94713012"}, {"ref": "adityasinghrajput45/10148-aditya-melanoma-training", "kernel_id": "94713255"}, {"ref": "shreshthaaa/10093-shreshthasharma-training", "kernel_id": "94501113"}, {"ref": "shreshthaaa/10093-shreshthasharma-kfold", "kernel_id": "94456133"}, {"ref": "atharvsanjayjain/10113-atharvsanjayjain-inference", "kernel_id": "94521299"}, {"ref": "jiyasinghal20/10043-jiya-singhal-inf", "kernel_id": "94522865"}, {"ref": "jiyasinghal20/10043-jiya-singhal-training", "kernel_id": "94733285"}, {"ref": "jiyasinghal20/23bcs10043-jiyasinghal-kfold", "kernel_id": "94513341"}, {"ref": "jiyasinghal20/23bcs10043-jiya-singhal-training", "kernel_id": "94514816"}, {"ref": "johnstalin26/10045-abhinav-jha-training-siim-isic", "kernel_id": "94736370"}, {"ref": "johnstalin26/10045-abhinav-jha-creating-folds-siim-isic", "kernel_id": "94736209"}, {"ref": "johnstalin26/10045-abhinav-inference-petfinder-my", "kernel_id": "94522890"}, {"ref": "johnstalin26/10045-abhinav-training-petfinder-my", "kernel_id": "94522659"}, {"ref": "johnstalin26/10045-abhinav-kfold-petfinder", "kernel_id": "94522565"}, {"ref": "fakeacc01/23bcs10062-inference", "kernel_id": "94516506"}, {"ref": "fakeacc01/23bcs10062-training", "kernel_id": "94512091"}, {"ref": "fakeacc01/23bcs10062-kfold", "kernel_id": "94511774"}, {"ref": "fakeacc01/23bcs10062-kfolds-2", "kernel_id": "94738232"}, {"ref": "fakeacc01/23bcs10062-train", "kernel_id": "94728547"}, {"ref": "pranav1100/pranav10145-kfolds-melanoma-classification", "kernel_id": "94716192"}, {"ref": "pranav1100/pranav10145-training-melanoma-classification", "kernel_id": "94715552"}, {"ref": "pranav1100/pranav23bcs10145-kfold-pawpularity-contest", "kernel_id": "94510458"}, {"ref": "pranav1100/pranav23bcs10145-training-pawpularity-contest", "kernel_id": "94512213"}, {"ref": "pranav1100/pranav23bcs10145-pawpularity-kaggle", "kernel_id": "94464426"}, {"ref": "kalamapj/vshravanth10030-inference-petfinder", "kernel_id": "94720705"}, {"ref": "kalamapj/shravanth-siim-isic-melanoma-classification", "kernel_id": "94399823"}, {"ref": "kalamapj/v-shravanth10030", "kernel_id": "94409744"}, {"ref": "kalamapj/v-shravanth1003-inference", "kernel_id": "94507265"}, {"ref": "kalamapj/vshravanth10030-kfold-petfinder", "kernel_id": "94491556"}, {"ref": "dpk9465/deepak10092cancer-inference-subs", "kernel_id": "94733137"}, {"ref": "dpk9465/deepak-10092-k-fold-pawpularity", "kernel_id": "94489339"}, {"ref": "dpk9465/deepak-10092-inference-petfinder-my-pawpularity", "kernel_id": "94506457"}, {"ref": "dpk9465/deepak-cancer-training", "kernel_id": "94400376"}, {"ref": "dpk9465/deepak-10092-pawpularity", "kernel_id": "94399641"}, {"ref": "vijaygauravkummetha/vijaygaurav-10003-inference-petfinder-my", "kernel_id": "94510901"}, {"ref": "vijaygauravkummetha/vijaygaurav-10003-inference-customcontest", "kernel_id": "94514285"}, {"ref": "vijaygauravkummetha/vijaygaurav-10003-petfinder", "kernel_id": "94495886"}, {"ref": "vijaygauravkummetha/vijay-10003-kfold-dog", "kernel_id": "94489211"}, {"ref": "harsh3446/10021-harsh-kumar-inference", "kernel_id": "94518838"}, {"ref": "harsh3446/10021-harsh-kumar-training", "kernel_id": "94517895"}, {"ref": "harsh3446/10021-harsh-kumar-kfold", "kernel_id": "94508750"}, {"ref": "shreyasgrg/10155-shreyasgarg-inference", "kernel_id": "94729926"}, {"ref": "shreyasgrg/23bcs10155-shreyasgarg-inference", "kernel_id": "94514243"}, {"ref": "shreyasgrg/23bcs10155-shreyasgarg-trainingpawpularity", "kernel_id": "94511239"}, {"ref": "shreyasgrg/23bcs10155-shreyasgarg-kfolds", "kernel_id": "94511020"}, {"ref": "shreyasgrg/23bcs10155-shreyasgarg-kfold", "kernel_id": "94403130"}, {"ref": "shreyasgrg/23bcs10155-shreyasgarg-training", "kernel_id": "94403592"}, {"ref": "dakshjainn/23bcs10125-daksh-jain-inferencee", "kernel_id": "94518159"}, {"ref": "dakshjainn/daksh-jain-23bcs10125-melanoma-inference", "kernel_id": "94739525"}, {"ref": "dakshjainn/23bcs10125-daksh-jain-kfold-petfinder-my", "kernel_id": "94513392"}, {"ref": "dakshjainn/23bcs10125-daksh-jain-training", "kernel_id": "94517551"}, {"ref": "kooldrip/10016-jenish-thapa-creating-folds-siim-isic", "kernel_id": "94734151"}, {"ref": "kooldrip/10016-jenish-thapa-training-siim-isic", "kernel_id": "94734250"}, {"ref": "kooldrip/10016-jenish-thapa-training-petfinder-my", "kernel_id": "94515628"}, {"ref": "kooldrip/10016-jenish-thapa-kfold-petfinder", "kernel_id": "94515633"}, {"ref": "kooldrip/10016-jenish-thapa-inference-petfinder-my", "kernel_id": "94515639"}, {"ref": "indrajeetyadav1/23bcs10199-indrajeet-yadav-training", "kernel_id": "94509594"}, {"ref": "indrajeetyadav1/2023bcs10199-indrajeet-yadav-petfinder-my", "kernel_id": "94453702"}, {"ref": "nicknv/kfold-navneet-10136-pawpularity-contest", "kernel_id": "94514317"}, {"ref": "nicknv/inference-v3-navneet-10136-pawpularity-contest", "kernel_id": "94514476"}, {"ref": "nicknv/training-navneet-10136-pawpularity-contest", "kernel_id": "94513800"}, {"ref": "nicknv/training-10136-siim-isic-melanoma-classification", "kernel_id": "94732164"}, {"ref": "nicknv/navneet-10136-kfold-siim-isic-melanoma", "kernel_id": "94731583"}, {"ref": "vinayreddyyedula/vinay-10083-cancer-inferenence", "kernel_id": "94733578"}, {"ref": "vinayreddyyedula/vinay-10083-train-petfinder-my-pawpularity-contest", "kernel_id": "94477174"}, {"ref": "vinayreddyyedula/vinay-10083-kfold-petfinder-my-pawpularity-contest", "kernel_id": "94477033"}, {"ref": "ayushkesharwani2605/23bcs10112-ayush-inferencev3", "kernel_id": "94513758"}, {"ref": "ayushkesharwani2605/23bcs10112-ayush-kfold", "kernel_id": "94512911"}, {"ref": "ayushkesharwani2605/23bcs10112-ayush-training", "kernel_id": "94512978"}, {"ref": "ayushkesharwani2605/ayush-23bcs10112-training", "kernel_id": "94731512"}, {"ref": "ayushkesharwani2605/ayush-23bcs10112-creating-folds", "kernel_id": "94731349"}, {"ref": "amlanbg/kfold-10032-amlan-buragohain", "kernel_id": "94515236"}, {"ref": "amlanbg/training-10032-amlan-buragohain", "kernel_id": "94515457"}, {"ref": "amlanbg/inference-10032-amlan-buragohain", "kernel_id": "94517167"}, {"ref": "arjunojha7/23bcs10068-arjun-ojha-pawpularity", "kernel_id": "94521838"}, {"ref": "arjunojha7/10068-arjunojha-melanoma-kfold", "kernel_id": "94739610"}, {"ref": "arjunojha7/10068-arjunojha-melanoma-training", "kernel_id": "94739751"}, {"ref": "rajattyagi18/23bcs10053-rajat-tyagi-kfold", "kernel_id": "94522144"}, {"ref": "rajattyagi18/23bcs10053-rajat-tyagi-training", "kernel_id": "94522257"}, {"ref": "rajattyagi18/23bcs10053-rajat-tyagi-inference", "kernel_id": "94522743"}, {"ref": "rajattyagi18/23bcs10053-rajat-tygai-training", "kernel_id": "94739731"}, {"ref": "rajattyagi18/23bcs10053-rajat-tyagi-kfoldm", "kernel_id": "94739264"}, {"ref": "benodiwal/23bcs10070-sachin-3", "kernel_id": "94522755"}, {"ref": "benodiwal/23bcs10070-sachin", "kernel_id": "94522455"}, {"ref": "benodiwal/23bcs10070-sachin-2", "kernel_id": "94522640"}, {"ref": "ishanavasthi/23bcs10042-ishan-avasthi-melanoma-training", "kernel_id": "95157573"}, {"ref": "amriteshindal29/training-petfinder-10150-amritesh", "kernel_id": "95186666"}, {"ref": "amriteshindal29/10150-amritesh-petfinder-kfold", "kernel_id": "95186571"}, {"ref": "amriteshindal29/inference-petfinder-10150-amritesh", "kernel_id": "95187056"}, {"ref": "amriteshindal29/creating-folds-siim-isic-10150-amritesh", "kernel_id": "95188584"}, {"ref": "amriteshindal29/training-siim-10150-amritesh", "kernel_id": "95188682"}, {"ref": "dmitryvolovikov/train-petfinder-my-pawpularity-contest", "kernel_id": "96076276"}, {"ref": "matveystarykh/petfinder-efficientnet-b0-lgb-training", "kernel_id": "98431479"}, {"ref": "arutyunoff/notebookdfd6ad9101", "kernel_id": "99984579"}, {"ref": "karlcecilio/notebook90fc46bf8a", "kernel_id": "102980092"}, {"ref": "yelijah/diyiming", "kernel_id": "104094924"}, {"ref": "glebzyryanov/zyryanov-petfinder", "kernel_id": "104375398"}, {"ref": "siva42/swin-transformer-beginner-friendly-notebook", "kernel_id": "106934963"}, {"ref": "napasarat/notebookf224b9629b", "kernel_id": "108939893"}, {"ref": "saintpatama/notebookaffdbaaa8a", "kernel_id": "109146515"}, {"ref": "chayanans/submit", "kernel_id": "109699983"}, {"ref": "chayanans/test1", "kernel_id": "109059553"}, {"ref": "chayanans/train", "kernel_id": "109334569"}, {"ref": "clora16/petfinder-train-baseline", "kernel_id": "110629795"}, {"ref": "clora16/petfinder-submission-baseline", "kernel_id": "110633023"}, {"ref": "dtleminh/project-cv", "kernel_id": "112100565"}, {"ref": "dtleminh/h0-nlp", "kernel_id": "112117451"}, {"ref": "bsshdbdb/edaaa", "kernel_id": "112911711"}, {"ref": "bsshdbdb/pawpularity-further-w", "kernel_id": "115304937"}, {"ref": "bsshdbdb/pawpularity-whf", "kernel_id": "115257573"}, {"ref": "bsshdbdb/pawpularity-midterm-shallowlearning-whf", "kernel_id": "115412937"}, {"ref": "jjim995/paw0412", "kernel_id": "115435592"}, {"ref": "juann1212/paw-1", "kernel_id": "115505188"}, {"ref": "hcling4000/ml-final-model", "kernel_id": "116282192"}, {"ref": "eymanurserdar/notebook4c9bf93dc7", "kernel_id": "117034641"}, {"ref": "bsshdbdb/pawpularity-final-nodirect-p9-unrestricted", "kernel_id": "117692438"}, {"ref": "bsshdbdb/pawpularity-p4-no-swinbeit-inference", "kernel_id": "117102253"}, {"ref": "troytian93/pawpularity-v4-metadatacrossrelation", "kernel_id": "119394342"}, {"ref": "dinglunli/notebookd0065ba01d", "kernel_id": "119012769"}, {"ref": "tzuyenchang/notebook1bace26e9c", "kernel_id": "119018899"}, {"ref": "skivap/team-merged-ensemble-fixednewmodelsexp029nonmean", "kernel_id": "120589271"}, {"ref": "liangchungkuan/nthu-ml-finalproject-group8", "kernel_id": "120557305"}, {"ref": "jjim995/0525paw-swin-conv", "kernel_id": "120511273"}, {"ref": "jjim995/paw0524", "kernel_id": "120389268"}, {"ref": "johnnybao0420/notebook90e183c8d6", "kernel_id": "120852729"}, {"ref": "juann1212/ml-final-model", "kernel_id": "120639876"}, {"ref": "zeddy0723/fork-of-notebook2aee3b27f9", "kernel_id": "121579033"}, {"ref": "lovelykoala/notebook78a449f632", "kernel_id": "121592574"}, {"ref": "yuhsiangwang1/final-project-ml", "kernel_id": "121376651"}, {"ref": "yuhsiangwang1/fusev1", "kernel_id": "121625365"}, {"ref": "yuhsiangwang1/group13-finalproject", "kernel_id": "121667289"}, {"ref": "chingchukuo/notebook7feeb49bbd", "kernel_id": "121475665"}, {"ref": "chingchukuo/group26-best-py", "kernel_id": "121780450"}, {"ref": "chenchiachun123/pawpularity-ensemble-v2", "kernel_id": "121665292"}, {"ref": "kochi1118/pretrained-weight-gen-2", "kernel_id": "121416104"}, {"ref": "kochi1118/group18-final-0603", "kernel_id": "121434750"}, {"ref": "yeichiu/finalproject-group13", "kernel_id": "121664099"}, {"ref": "ugakkuku/frozen-strategy-private-16-86814-latesubmission", "kernel_id": "131927897"}]}
{"competition_id": "25389", "kernels": []}
{"competition_id": "25398", "kernels": []}
{"competition_id": "25401", "kernels": [{"ref": "superant/mighty-boilergoose-with-flood-fill", "kernel_id": "14545615"}, {"ref": "jamesmcguigan/hungry-geese-agents-comparison", "kernel_id": "14507065"}, {"ref": "nirenamid/hungry-geese-simple-state-viewer", "kernel_id": "14526684"}, {"ref": "juliencs/diffusion-agent", "kernel_id": "14604177"}, {"ref": "ilialar/goose-on-a-healthy-diet", "kernel_id": "14518581"}, {"ref": "ilialar/risk-averse-greedy-goose", "kernel_id": "14471731"}, {"ref": "ryches/stable-baselines3-starter-wip", "kernel_id": "14806973"}, {"ref": "seriousran/hungry-geese-baseline-starter-greedy", "kernel_id": "14460599"}, {"ref": "ihelon/hungry-geese-agents-comparison", "kernel_id": "14466106"}, {"ref": "robga/simulations-episode-scraper-match-downloader", "kernel_id": "14611507"}, {"ref": "ks2019/hungry-goose-starter-with-logging-top-10", "kernel_id": "14503407"}, {"ref": "gabrielmilan/crazy-goose", "kernel_id": "14500884"}, {"ref": "tikerlade/baseline-from-greedy-approach", "kernel_id": "14495773"}, {"ref": "ymdhryk/ape-x-dqn-safe-guard-length-risk-aware", "kernel_id": "14571010"}, {"ref": "ymdhryk/hungry-geese-apex-dqn-with-random-search", "kernel_id": "14527778"}, {"ref": "ymdhryk/hungry-geese-ape-x-dqn-with-safe-guard", "kernel_id": "14530662"}, {"ref": "ktechb/hungry-geese-simple-submisson", "kernel_id": "14461231"}, {"ref": "egrehbbt/alternative-game-visualization", "kernel_id": "14630168"}, {"ref": "myoung859/horrible-geese", "kernel_id": "14658779"}, {"ref": "darkmatter2222/tf-agent-rl-dqn-w-policy-saver-and-tar-gz-sub", "kernel_id": "14528712"}, {"ref": "mpwolke/good-for-the-goose-good-for-the-gander", "kernel_id": "14470823"}, {"ref": "danwatson16/greedy-boi", "kernel_id": "14603025"}, {"ref": "danwatson16/hungry-geese-sample", "kernel_id": "14499880"}, {"ref": "codenamekash/ai-goose-reinforcement-learning", "kernel_id": "14511501"}, {"ref": "aatiffraz/simple-bfs-starter-agent", "kernel_id": "14478243"}, {"ref": "dongkyunkim/very-simple-goose-dojo", "kernel_id": "14667132"}, {"ref": "rmibizet/stable-baselines3-ppo-goose", "kernel_id": "14904524"}, {"ref": "mirenaborisova/woeful-honks-or-angry-hissing", "kernel_id": "14629309"}, {"ref": "peternagymathe/hungry-goose-gamified", "kernel_id": "14691448"}, {"ref": "victordelafuente/dqn-goose-with-stable-baselines3-pytorch", "kernel_id": "14712106"}, {"ref": "victordelafuente/greedy-risk-averse-improved-dead-end-detection", "kernel_id": "14611361"}, {"ref": "victordelafuente/hungrygeese-q-learning-common-sense-knowledge", "kernel_id": "14634488"}, {"ref": "leontkh/hard-coded-passive-aggressive-agent", "kernel_id": "14779218"}, {"ref": "yasinnaal/hungry-geese-feed-the-geese-yasin", "kernel_id": "14959819"}, {"ref": "fleek12/hungry-geese-worldmodels-pytorch", "kernel_id": "14974778"}, {"ref": "antimatter543/running-games-locally-with-jupyter-notebook", "kernel_id": "14873562"}, {"ref": "antimatter543/hungry-geese-beginners-testing-not-done-abandone", "kernel_id": "14639801"}, {"ref": "jamesmcguigan/hungry-geese-go-west", "kernel_id": "15113021"}, {"ref": "jamesmcguigan/hungry-geese-rust-cffi", "kernel_id": "15115733"}, {"ref": "evilmage93/tf-agent-for-hungrygoose", "kernel_id": "15542500"}, {"ref": "evilmage93/heuristic-goose", "kernel_id": "15311922"}, {"ref": "alexandraamidon/simple-hungry-geese-baseline-heuristic-agent", "kernel_id": "15624799"}, {"ref": "nejumi/let-s-create-your-agent-by-supervised-learning", "kernel_id": "15783928"}, {"ref": "nejumi/keras-model-trained-by-imitation-learning", "kernel_id": "15595538"}, {"ref": "unicorncharm/model-based-approaches", "kernel_id": "15978773"}, {"ref": "format37/default-renderer-and-augmented-field-obs-debugger", "kernel_id": "15207776"}, {"ref": "nicolebade/south-goose-baseline", "kernel_id": "15497878"}, {"ref": "ks2019/handy-rl-training-notebook", "kernel_id": "15284542"}, {"ref": "ymdhryk/ape-x-dqn-lap-safeguard-rewardredesign", "kernel_id": "15048009"}, {"ref": "ace147/random-dir-straight-go", "kernel_id": "15489072"}, {"ref": "brandonnova/submission-number-score-correlation", "kernel_id": "15306786"}, {"ref": "brandonnova/circle-geese", "kernel_id": "15408719"}, {"ref": "brandonnova/circle-goose", "kernel_id": "15408289"}, {"ref": "kmldas/hungry-geese-leaderboard-analysis", "kernel_id": "15829856"}, {"ref": "meghamgarg/hungrygeese-dfs-bfs", "kernel_id": "15315847"}, {"ref": "ht5brer/handy-rl-submission-update", "kernel_id": "15308261"}, {"ref": "ht5brer/hungry-geese-rl-template", "kernel_id": "15080941"}, {"ref": "riadalmadani/one-step-lookahead-goose-no-opp-error", "kernel_id": "15630315"}, {"ref": "riadalmadani/one-step-lookahead-goose-simple-heuristic-function", "kernel_id": "15668824"}, {"ref": "riadalmadani/one-step-lookahead-goose", "kernel_id": "15573474"}, {"ref": "yskkwkm/hungry-geese-random-walk", "kernel_id": "15007974"}, {"ref": "pierretihon/so-far-so-goose-simple-model-based-on-points", "kernel_id": "15495871"}, {"ref": "demche/hungry-geese-leaderboard-eda-and-team-tracking", "kernel_id": "15055411"}, {"ref": "alexandermetzger/simple-2-stage-pacifist-greedy", "kernel_id": "15752602"}, {"ref": "johntermaat/hungry-geese-simple-monte-carlo-baseline", "kernel_id": "15016791"}, {"ref": "yanamal/approximate-q-learning-baseline", "kernel_id": "15186858"}, {"ref": "abosol/what-if-avoiding-re-coding-the-game-s-rules", "kernel_id": "16520145"}, {"ref": "toshikazuwatanabe/hungry-geese-make-submission-w-tf-agent", "kernel_id": "16505308"}, {"ref": "durbin164/hungry-geese-deep-q-network-starter-training", "kernel_id": "16894175"}, {"ref": "egrehbbt/minmax-goose", "kernel_id": "16067932"}, {"ref": "nerijusareska/geese-the-beginnings", "kernel_id": "16505380"}, {"ref": "ochaaaaaaan/hungry-geese-look-around", "kernel_id": "16758759"}, {"ref": "alexandersamarin/training-resnet-agent-from-scratch", "kernel_id": "16831674"}, {"ref": "minhn520/hungry-geese", "kernel_id": "16489212"}, {"ref": "nidhaypancholi/an-agent-for-the-hungry-geese-competition", "kernel_id": "16031785"}, {"ref": "josephamigo/hungry-geese-is-a-nlp-problem-part-3", "kernel_id": "16446836"}, {"ref": "josephamigo/hungry-geese-is-a-nlp-problem-part-2", "kernel_id": "16442980"}, {"ref": "josephamigo/hungry-geese-is-a-nlp-problem-part-1", "kernel_id": "16442513"}, {"ref": "maheshabnave999/hungry-geese-self-play-agent-using-stable-baseli", "kernel_id": "16502565"}, {"ref": "sanggyu3/using-handyrl-for-hungry-geese", "kernel_id": "16023619"}, {"ref": "vyacheslavponomarev/goosecompetitionnn", "kernel_id": "16371775"}, {"ref": "mickaelomk/joint-distribution-q-learning", "kernel_id": "16693891"}, {"ref": "rodrigoferrazsouza/hungry-geese-reinforcement-learning-approach", "kernel_id": "16307954"}, {"ref": "rodrigoferrazsouza/simple-hungry-geese-agent-coward-goose", "kernel_id": "16007665"}, {"ref": "phanomkornhomsiang/hungry-geese-training", "kernel_id": "16476658"}, {"ref": "durbin164/starter-tf-hungry-geese-a2c", "kernel_id": "17102238"}, {"ref": "bamps53/handyrl-resume-training", "kernel_id": "17921367"}, {"ref": "huikang/hg-alphageese-baseline", "kernel_id": "17991783"}, {"ref": "huikang/hg-agents-comparison", "kernel_id": "17985890"}, {"ref": "yonsweng/alphageese-baseline", "kernel_id": "17173600"}, {"ref": "yonsweng/smart-geese-loading-model-from-kaggle-dataset", "kernel_id": "17127361"}, {"ref": "houzitest/notebooke05591f8b0", "kernel_id": "17441285"}, {"ref": "claurin1/lightgbm-geese-data-generation", "kernel_id": "17701047"}, {"ref": "riadalmadani/self-attention-model-with-cnn", "kernel_id": "17465450"}, {"ref": "riadalmadani/self-attention-model-with-resnet", "kernel_id": "17468703"}, {"ref": "vishweshsalodkar/smart-geese-my-first-competition", "kernel_id": "17432723"}, {"ref": "peternagymathe/diffusion-agent", "kernel_id": "17409254"}, {"ref": "yashkundu/joint-distribution-q-learning", "kernel_id": "17672245"}, {"ref": "ashleypaloalto2020/hungry-geese-self-play-agent-using-stable-baseli", "kernel_id": "17880260"}, {"ref": "ashleypaloalto2020/hungry-geese-training", "kernel_id": "17880689"}, {"ref": "paul2021/smart-geese-my-first-competition", "kernel_id": "17914501"}, {"ref": "sandya2022/hungry-geese-look-around", "kernel_id": "17920227"}, {"ref": "richardsmith2/keras-model-trained-by-imitation-learning", "kernel_id": "17990423"}, {"ref": "tirthankar2021/lightgbm-geese-data-generation", "kernel_id": "17993051"}, {"ref": "avikdas2021/using-handyrl-for-hungry-geese", "kernel_id": "17993208"}, {"ref": "avikdas2021/simple-hungry-geese-baseline", "kernel_id": "17993339"}, {"ref": "billfangzhou/let-s-create-your-agent-by-supervised-learning", "kernel_id": "17777866"}, {"ref": "billfangzhou/hungrygeese-q-learning-common-sense-knowledge", "kernel_id": "17782364"}, {"ref": "robga/using-onnx-onnxruntime-in-submissions-for-4x-speed", "kernel_id": "18924609"}, {"ref": "huikang/hg-suicide-goose", "kernel_id": "18109614"}, {"ref": "ace147/hungry-geese-systematic-approach", "kernel_id": "18282846"}, {"ref": "syedhamzahussain/hungry-geese-center-focused-greedy-goose", "kernel_id": "18408190"}, {"ref": "beoloruntobi/training-resnet-agent-from-scratch", "kernel_id": "18781667"}, {"ref": "beoloruntobi/hungry-geese-make-submission-w-tf-agent", "kernel_id": "18781673"}, {"ref": "riadalmadani/minimax-multi-agent", "kernel_id": "18327481"}, {"ref": "unfriendlyai/geesamble", "kernel_id": "18430991"}, {"ref": "kirderf/handyrl-with-extra-save-and-load-features-amp-etc", "kernel_id": "18884274"}, {"ref": "josmoy/goose-networkx-shortest-path", "kernel_id": "18003905"}, {"ref": "ashleyd2021/hungry-geese-self-play-agent-using-stable-baseli", "kernel_id": "18120734"}, {"ref": "ashleyd2021/lightgbm-geese-data-generation", "kernel_id": "18122865"}, {"ref": "alexandertalbot/skinny-geese", "kernel_id": "18428614"}, {"ref": "rick0000/understanding-head-expansion", "kernel_id": "19404840"}, {"ref": "deyellowflash/bfs-2012421zohaib", "kernel_id": "45119892"}, {"ref": "goyalharshit03/notebooka421626cb1", "kernel_id": "50360929"}, {"ref": "arshiyakishore/hungry-geese-1", "kernel_id": "50727227"}, {"ref": "yatharthgautam123789/hungry-geese", "kernel_id": "50096857"}, {"ref": "mohammedsahtiqs/org-hungry-geese", "kernel_id": "89111462"}]}
{"competition_id": "25404", "kernels": []}
{"competition_id": "25414", "kernels": []}
{"competition_id": "25424", "kernels": [{"ref": "ilyasniyazov/notebook-ilyas", "kernel_id": "17426943"}, {"ref": "allseen/iris01", "kernel_id": "50479126"}, {"ref": "aminrezabahrami/iris-pytorch", "kernel_id": "105785369"}]}
{"competition_id": "25440", "kernels": []}
{"competition_id": "25452", "kernels": []}
{"competition_id": "25458", "kernels": []}
{"competition_id": "25459", "kernels": []}
{"competition_id": "25479", "kernels": []}
{"competition_id": "25480", "kernels": []}
{"competition_id": "25487", "kernels": []}
{"competition_id": "25502", "kernels": []}
{"competition_id": "25508", "kernels": [{"ref": "omegaarpit/19eebcs009-arpit-jain", "kernel_id": "14498593"}]}
{"competition_id": "25513", "kernels": []}
{"competition_id": "25518", "kernels": []}
{"competition_id": "25519", "kernels": []}
{"competition_id": "25520", "kernels": []}
{"competition_id": "25521", "kernels": [{"ref": "andreishubin/group-6-draft", "kernel_id": "14664198"}, {"ref": "robertcorado/mr-null-s-version", "kernel_id": "14795367"}]}
{"competition_id": "25528", "kernels": []}
{"competition_id": "25530", "kernels": [{"ref": "supportprotonx/protonx-tf02-kaggle-02", "kernel_id": "14562536"}]}
{"competition_id": "25558", "kernels": [{"ref": "khoongweihao/insect-augmentation-et-al", "kernel_id": "13872051"}, {"ref": "yeonghyeon/step-by-step-herbarium-2021", "kernel_id": "15560442"}, {"ref": "ateplyuk/herb2021-pytorch-starter", "kernel_id": "15445475"}, {"ref": "ihelon/herbarium-2021-exploratory-data-analysis", "kernel_id": "15438354"}, {"ref": "oricou/herbarium21-skeleton", "kernel_id": "15857629"}, {"ref": "sharansmenon/herbarium-pytorch", "kernel_id": "15480839"}, {"ref": "tpmeli/herbarium-starter-efficientnet-tf-keras-gpu", "kernel_id": "15449173"}, {"ref": "salmanhiro/herbarium-2021-efficientnet-b0-training-starter", "kernel_id": "15477222"}, {"ref": "drcapa/herbarium-2021-starter-eda-datagenerator", "kernel_id": "15438005"}, {"ref": "sauravmaheshkar/herbarium-2021-pytorch-starter-weights-biases", "kernel_id": "15466788"}, {"ref": "sauravmaheshkar/herbarium-2021-resnet18-inference", "kernel_id": "15525265"}, {"ref": "debarshichanda/herbarium-2021-pytorch-starter", "kernel_id": "15459962"}, {"ref": "siddhartamukherjee/herbarium-2021-resnet34-pytorch-gpu", "kernel_id": "15908712"}, {"ref": "muhammadzubairkhan92/herbarium-2021-exploratory-data-analysis", "kernel_id": "15827072"}, {"ref": "atamazian/herb-2021-tfrecords-effnet-training", "kernel_id": "16354722"}, {"ref": "atamazian/herb-2021-tfrecords-effnet-inference", "kernel_id": "16400390"}, {"ref": "twhelan/herbarium2021-creating-smaller-subsets-of-data", "kernel_id": "16787581"}, {"ref": "yasserhessein/herbarium-2021-uing-vgg16", "kernel_id": "16090539"}, {"ref": "abhaychaudhary01/insect-augmentation-et-al", "kernel_id": "16079270"}, {"ref": "anandagdhi/herberium-eda", "kernel_id": "16362203"}, {"ref": "ricardobarbosasousa/herbarium-2021-rbs-resnet", "kernel_id": "16292457"}, {"ref": "anandagdhi/notebook0ac3a4bca3", "kernel_id": "17241274"}, {"ref": "shayantaherian/herbarium-2021", "kernel_id": "20548872"}, {"ref": "ivanfeliperodriguez/tfrecords-creation-with-arbitrary-size", "kernel_id": "21768222"}, {"ref": "muntasirefaz574/insect-detection", "kernel_id": "83526682"}]}
{"competition_id": "25563", "kernels": [{"ref": "khoongweihao/insect-augmentation-et-al", "kernel_id": "13872051"}, {"ref": "saurabhbagchi/pytorch-starter-wip", "kernel_id": "15659691"}, {"ref": "subbuvolvosekar/apple-disease-classification", "kernel_id": "15690760"}, {"ref": "mynameisvinn/hub-example", "kernel_id": "15949809"}, {"ref": "buinyi/understanding-the-evaluation-metric-cv", "kernel_id": "15662710"}, {"ref": "datasciencegeek/eda-plantpathology2021-fgvc8", "kernel_id": "15708583"}, {"ref": "jabertuhin/multi-label-classification-training-with-pl", "kernel_id": "15651194"}, {"ref": "mreenav/plant-pathology-basic-cnn", "kernel_id": "15997741"}, {"ref": "joey0201/plant-2021-starter-training-repvgg", "kernel_id": "15865554"}, {"ref": "rifat963/visual-transformer-vit-baseline-training", "kernel_id": "15759548"}, {"ref": "ateplyuk/plant-2021-starter", "kernel_id": "15544947"}, {"ref": "ankursingh12/fastai-progressive-resizing-resnet152-training", "kernel_id": "15636341"}, {"ref": "ankursingh12/fastai-plant2021-starter-training", "kernel_id": "15617857"}, {"ref": "ankursingh12/fastai-plant2021-starter-inference", "kernel_id": "15619170"}, {"ref": "eynaij/data-analysis-distribution-cluster-duplication", "kernel_id": "15694824"}, {"ref": "fanbyprinciple/get-started-with-fastai-baseline", "kernel_id": "15552929"}, {"ref": "lanle793/plant-pathology-2021-fgcv8-fastai", "kernel_id": "15934760"}, {"ref": "manabendrarout/cv-0-7-applenet-fgvc8-2021", "kernel_id": "15676236"}, {"ref": "manabendrarout/detailed-eda-baseline-model-plant-pathology-21", "kernel_id": "15542449"}, {"ref": "asimzahid/eda-plant-pathology-2021-fgvc8-apple-trees", "kernel_id": "15765514"}, {"ref": "bekarysnurtay/bn-plant-pathology-efficientnet-b7", "kernel_id": "15740808"}, {"ref": "lys620/opencv-eda-and-classification-inference", "kernel_id": "15729995"}, {"ref": "lys620/opencv-eda-and-classification", "kernel_id": "15585773"}, {"ref": "crissallan/pytorchlightning-efficientnet-focalloss-inference", "kernel_id": "15944036"}, {"ref": "crissallan/pytorchlightning-efficientnet-focalloss-training", "kernel_id": "15940005"}, {"ref": "crissallan/eda-sample-images-visualization", "kernel_id": "15686393"}, {"ref": "ted0071/plant2021-preprocessing", "kernel_id": "15986548"}, {"ref": "afridi10/plant-pathology-2021-submission", "kernel_id": "15941842"}, {"ref": "muhammadmasdar/simple-pathology-detection-based-on-cnn-guide", "kernel_id": "15649260"}, {"ref": "lucascouri/at-5-estat-stica-descritiva-plant-pathology", "kernel_id": "15925281"}, {"ref": "catwhisker/cs5489-project-submission-baseline", "kernel_id": "15935415"}, {"ref": "leeminwoo/pytorch-renet32", "kernel_id": "15551595"}, {"ref": "drcapa/plant-pathology-starter-eda-datagenerator", "kernel_id": "15541433"}, {"ref": "ashish2001/tfrecords-plant-pathology", "kernel_id": "15553538"}, {"ref": "pegasos/plant2021-pytorch-lightning-starter-inference", "kernel_id": "15628624"}, {"ref": "pegasos/plant2021-pytorch-lightning-starter-training", "kernel_id": "15625825"}, {"ref": "pegasos/plant2021-multi-label-model-inference", "kernel_id": "15859643"}, {"ref": "pegasos/plant2021-multi-label-model-training", "kernel_id": "15815506"}, {"ref": "truptisatsangi/plant-leaf-classification", "kernel_id": "15946817"}, {"ref": "criesavian/plant-pathology-exception-tl", "kernel_id": "15717389"}, {"ref": "huynhtan/plant-pathology-this-one", "kernel_id": "15845159"}, {"ref": "huynhtan/submission", "kernel_id": "15784704"}, {"ref": "huynhtan/plant-pathology", "kernel_id": "15784918"}, {"ref": "jeremynadal/plantpathology2021-trained", "kernel_id": "15923111"}, {"ref": "dimakyn/plant-2021-densenet201-efficientnetb7-tpu", "kernel_id": "15653082"}, {"ref": "suriyaks/plant-pathology-2021-fgvc8-eda-upscaling", "kernel_id": "15692991"}, {"ref": "ishalgarg/plant-pathology-2021-eda", "kernel_id": "15824932"}, {"ref": "aayushmishra1512/plant-pathology-starter", "kernel_id": "15941742"}, {"ref": "nur988/plant-pathology-2021", "kernel_id": "15869375"}, {"ref": "sabz2301/plant-pathology-fastai", "kernel_id": "15974449"}, {"ref": "tunhunhminh/2021-fgvc8-efn-net-train", "kernel_id": "15654256"}, {"ref": "datafan07/plant-pathology-v-transformers-baseline-training", "kernel_id": "15590787"}, {"ref": "mohammadasimbluemoon/dataset-resize-to-256x256x3", "kernel_id": "15551623"}, {"ref": "mohammadasimbluemoon/plant-pathology-multi-class-2021", "kernel_id": "15550960"}, {"ref": "mohammadasimbluemoon/tensorflow-custom-distributed-training-gpu", "kernel_id": "15943774"}, {"ref": "mohammadasimbluemoon/tensorflow-custom-distributed-training-tpu", "kernel_id": "15854797"}, {"ref": "kingofarmy/resnet50-fgvc8-submission", "kernel_id": "15612133"}, {"ref": "shayantaherian/tf-plant-pathology-2021", "kernel_id": "15640495"}, {"ref": "jirkaborovec/plant-pathology-with-pytorch-lightning-flash", "kernel_id": "15985588"}, {"ref": "jirkaborovec/plant-pathology-with-lightning", "kernel_id": "15950056"}, {"ref": "xavierbarbier/plant-pathology-2021-fgvc8-eda", "kernel_id": "15920050"}, {"ref": "shanmukh05/plant-pathology-2k21-baseline-tpu-training", "kernel_id": "15666713"}, {"ref": "shanmukh05/plant-pathology-2k21-baseline-gpu-training", "kernel_id": "15558580"}, {"ref": "syalabiseet/fgvc8-albumentations-cutmix-tfrec", "kernel_id": "15876142"}, {"ref": "lucaspillapimentel/densenet169-transfer-learning-fgvc8-2021", "kernel_id": "15875085"}, {"ref": "brendanartley/plant-pathology-2021-tpu-training-0-701-cv", "kernel_id": "15603025"}, {"ref": "arindamg/plant-pathology-efficientnet-93-val-acc", "kernel_id": "15593995"}, {"ref": "satyambhatta/plant-pathology", "kernel_id": "15584932"}, {"ref": "kuboko/pp2021-pytorch-vgg-16-fine-tune-inference", "kernel_id": "15718666"}, {"ref": "nickuzmenkov/plant-pathology-2021-making-tfrecords", "kernel_id": "15610254"}, {"ref": "nickuzmenkov/pp2021-tpu-tf-training", "kernel_id": "15631345"}, {"ref": "nickuzmenkov/pp2021-tpu-tf-inference", "kernel_id": "15633137"}, {"ref": "nickuzmenkov/pp2021-duplicates-revealing", "kernel_id": "15688692"}, {"ref": "nickuzmenkov/pp2021-ultimate-preprocessing", "kernel_id": "15712813"}, {"ref": "tylerswann/plant-pathology-2021-classification", "kernel_id": "15562244"}, {"ref": "donggeonhan/apple-base-code-abc", "kernel_id": "15851995"}, {"ref": "zachwel/fastai-cnn-learner-2", "kernel_id": "15559688"}, {"ref": "praveengovi/plant-pathology-2021-modeling-pytorch", "kernel_id": "16645686"}, {"ref": "praveengovi/plant-pathology-detail-eda-pytorch", "kernel_id": "16289013"}, {"ref": "datasciencegeek/resize-images", "kernel_id": "16001900"}, {"ref": "datasciencegeek/detect-duplicates-via-image-embeddings", "kernel_id": "16002917"}, {"ref": "dhanyasabari/apples-foliarleafdisease", "kernel_id": "16192390"}, {"ref": "mikhailyurasov/notebooke7d9fa1145", "kernel_id": "16086632"}, {"ref": "hopeff/notebook1c3b14df11", "kernel_id": "16186426"}, {"ref": "thalesgaluchi/plant-test-submission", "kernel_id": "16158276"}, {"ref": "vgarshin/plant-efficientnet-submit-pytorch", "kernel_id": "16037868"}, {"ref": "vgarshin/plant-efficientnet-train-pytorch", "kernel_id": "16912256"}, {"ref": "jabertuhin/debug-inference-notebook", "kernel_id": "16280929"}, {"ref": "mreenav/interpreting-cnns-plant-pathology-2021", "kernel_id": "16926143"}, {"ref": "coldfir3/plant-pathology-2021-dataset-rescaled-to-600x400px", "kernel_id": "16657379"}, {"ref": "shashwatwork/the-plant-doc", "kernel_id": "16810125"}, {"ref": "iamnamita/plant-pathology-data-exploration-pytorch", "kernel_id": "16014442"}, {"ref": "hicham1984/plant-pathology-2021-competition-fast-ai", "kernel_id": "16717996"}, {"ref": "devyacheslav/lightning-train-plant-pathology-2021", "kernel_id": "16993836"}, {"ref": "aniketmaurya/plant-pathology-pytorch-lightning-flash-0-5", "kernel_id": "16671049"}, {"ref": "aniketmaurya/plant-pathology-pytorch-lightning", "kernel_id": "16830095"}, {"ref": "julichitai/baseline-keras-17-04", "kernel_id": "16280947"}, {"ref": "julichitai/visual-transformer-vit-baseline-training", "kernel_id": "16224432"}, {"ref": "zhaoyj688/compete-test", "kernel_id": "16930566"}, {"ref": "masatosampei/plant-pathology-01-eda", "kernel_id": "16382975"}, {"ref": "ankitp013/tl-using-resnet50", "kernel_id": "16946856"}, {"ref": "memorylorry/resize512-plant-pathology-2021-fgvc8", "kernel_id": "16420125"}, {"ref": "ritvik1909/multi-label-image-classification", "kernel_id": "16339796"}, {"ref": "zuiran/idgcn-plantpathology", "kernel_id": "16319550"}, {"ref": "peterpetrov826/saving-apple-trees-with-fastai", "kernel_id": "16342153"}, {"ref": "ayuraj/better-data-understanding-with-w-b-tables", "kernel_id": "16719154"}, {"ref": "ayuraj/experiment-tracking-with-weights-and-biases", "kernel_id": "16585667"}, {"ref": "ayuraj/use-pytorch-lightning-with-weights-and-biases", "kernel_id": "16633129"}, {"ref": "c7934597/plant2021-pytorch-lightning-starter-inference", "kernel_id": "16851064"}, {"ref": "ryancloude/plant-pathology-final", "kernel_id": "16913313"}, {"ref": "irvingvasquez/eda-plant-pathology-espa-ol", "kernel_id": "16356301"}, {"ref": "rustyelectron/plant-path-train-resnet200d-288x288", "kernel_id": "16725237"}, {"ref": "rustyelectron/plant-path-inference-resnet200d", "kernel_id": "16715580"}, {"ref": "lys620/plant-pathlogy-simple-cnn", "kernel_id": "16621309"}, {"ref": "anonyhost/pp2021-fgcv8-densenet-augment", "kernel_id": "16997098"}, {"ref": "anonyhost/submit-notebook", "kernel_id": "16950130"}, {"ref": "anonyhost/pp2021-pytorch-fine-tune-model-inference", "kernel_id": "16778837"}, {"ref": "stpeteishii/plant-pathology-densenet201", "kernel_id": "16624457"}, {"ref": "ashery/plant-pathology-2021-fgvc8", "kernel_id": "16150340"}, {"ref": "wonyongl/merged", "kernel_id": "16480395"}, {"ref": "ted0071/plant2021-pytorch-resnet", "kernel_id": "16049589"}, {"ref": "ted0071/plant2021-pytorch-submission", "kernel_id": "16508951"}, {"ref": "ljh0128/multi-label-data-split-method", "kernel_id": "16360581"}, {"ref": "ajax0564/tpu-eff-7", "kernel_id": "16228693"}, {"ref": "woznaa/experiment-tracking-with-weights-and-biases", "kernel_id": "16832097"}, {"ref": "lucascouri/plant-pathology-avaliando-modelos", "kernel_id": "16733853"}, {"ref": "lucascouri/plant-pathology-model-1-inceptionv3", "kernel_id": "16667032"}, {"ref": "lucascouri/plant-pathology-model-6", "kernel_id": "16688405"}, {"ref": "catwhisker/fork-of-cs5489-project-submission-cont-12", "kernel_id": "16552522"}, {"ref": "traptrip/visual-transformer-vit-baseline-t2t", "kernel_id": "16259645"}, {"ref": "gb00000/plant-pathology-2021", "kernel_id": "16005284"}, {"ref": "whdcks877/plant-pathology", "kernel_id": "16433647"}, {"ref": "whdcks877/plant-pathology-with-generator", "kernel_id": "16515969"}, {"ref": "pegasos/plant2021-multi-label-efficnenetb5-training", "kernel_id": "16976858"}, {"ref": "maxinstellar/transformer-vit-baseline", "kernel_id": "16283404"}, {"ref": "harshjain123/plant-pathology-resnet50", "kernel_id": "16601457"}, {"ref": "harshjain123/plant-pathology-cnn-model", "kernel_id": "16605025"}, {"ref": "jl18pg052/inference-notebook-for-plant-comp", "kernel_id": "16833656"}, {"ref": "hyeonjin6/introduction-to-plant-pathology", "kernel_id": "16078877"}, {"ref": "amartyabhattacharya/reaching-98-59-f1-score-using-transfer-learning", "kernel_id": "16725488"}, {"ref": "amartyabhattacharya/plant-pathology-transfer-learnin", "kernel_id": "16875986"}, {"ref": "amartyabhattacharya/plant-pathology-2021-eda-efficientnetb4", "kernel_id": "16912997"}, {"ref": "amartyabhattacharya/beginner-s-image-processing-and-eda", "kernel_id": "16903567"}, {"ref": "sarahmasdeh/ai-paper", "kernel_id": "16704490"}, {"ref": "aithammadiabdellatif/background-removal", "kernel_id": "16640880"}, {"ref": "aithammadiabdellatif/plant-pathology-opencv-background-removal", "kernel_id": "16632865"}, {"ref": "aithammadiabdellatif/tpu-shoes", "kernel_id": "16444876"}, {"ref": "yasserhessein/leaf-diseases-using-mobilenet", "kernel_id": "16636253"}, {"ref": "alllancheung/notebook7dc05abc73", "kernel_id": "16609388"}, {"ref": "dmitriystarodubcev/plant-pathology", "kernel_id": "16281592"}, {"ref": "francescomart/plant-classification-with-inception-v3-f1-0-857", "kernel_id": "16786180"}, {"ref": "gargmanas/plant-pathology-2021-fgvc8", "kernel_id": "16669614"}, {"ref": "yowtshjhj/plant2021", "kernel_id": "16691130"}, {"ref": "yowtshjhj/plant2021-using-alexnet", "kernel_id": "16710206"}, {"ref": "biswajitroy7890/plant-patholgy-classification", "kernel_id": "16569590"}, {"ref": "ranjeetshrivastav/plant-pathology-2021-fgvc8-transfer-learning", "kernel_id": "16911548"}, {"ref": "nguynvitlong/start-with-pytorch-using-efficientnet-v1", "kernel_id": "16989732"}, {"ref": "nguynvitlong/plant-efficientnet-submit-pytorch", "kernel_id": "16983374"}, {"ref": "alexhernan/plants-training", "kernel_id": "16148806"}, {"ref": "v1shal9/plant-pathology-prediction", "kernel_id": "16209596"}, {"ref": "arnabs007/apple-leaf-diseases-with-inceptionresnetv2-keras", "kernel_id": "16307764"}, {"ref": "markphillipsai/plants-fastai-train-and-infer", "kernel_id": "16662272"}, {"ref": "jirkaborovec/plant-pathology-with-lightning-inference", "kernel_id": "16072864"}, {"ref": "sanjayacharjee/nf-net-training", "kernel_id": "16749244"}, {"ref": "xavierbarbier/plant-pathology-2021-fgvc8-training", "kernel_id": "16104282"}, {"ref": "paulgavrikov/normalization-values-for-pp2021", "kernel_id": "16051290"}, {"ref": "adityakane/plant-pathology-2021-dataset-maker", "kernel_id": "16166192"}, {"ref": "labdhisheth/plant-pathology-inceptionv3-2", "kernel_id": "16586887"}, {"ref": "virajkadam/plant-pathology-apple-leaf-diseases", "kernel_id": "16047652"}, {"ref": "tamtamxtamtam/plant-2021", "kernel_id": "16994862"}, {"ref": "abhaychaudhary01/insect-augmentation-et-al", "kernel_id": "16079270"}, {"ref": "bcghost/plant-pathology", "kernel_id": "16988307"}, {"ref": "dhruvjoshi7/plant-pathology-basic", "kernel_id": "16092941"}, {"ref": "daviddirethucus/plant-pathology-densenet169", "kernel_id": "16832925"}, {"ref": "yvtsanlevy/plant-pathology-2021", "kernel_id": "16905857"}, {"ref": "bimdeptrai/chuyen-de-cong-nghe-uet", "kernel_id": "16586658"}, {"ref": "bimdeptrai/notebook546598e808", "kernel_id": "16587465"}, {"ref": "bimdeptrai/predict-notebook", "kernel_id": "16747230"}, {"ref": "bimdeptrai/create-model-resized-image-with-internet", "kernel_id": "16756160"}, {"ref": "andytran32/notebook781d7c1501", "kernel_id": "16998211"}, {"ref": "studywitht/densenets-freeze", "kernel_id": "16983462"}, {"ref": "teykaihong/fgvc8-fastai-training1", "kernel_id": "16071011"}, {"ref": "teykaihong/fgvc8-fastai-inference", "kernel_id": "16084596"}, {"ref": "tuaaanminh/plant2021-training", "kernel_id": "16995172"}, {"ref": "tuaaanminh/mobilenetv2", "kernel_id": "16996307"}, {"ref": "ntdat0411/plant-pathology-data-exploration", "kernel_id": "16973461"}, {"ref": "nvlinhh/pp2021-tpu-tf-training-e6c407", "kernel_id": "16944408"}, {"ref": "nvlinhh/int3414-22-n11-revealing-duplicate", "kernel_id": "16923847"}, {"ref": "mahmoudlimam/basic-cnn-for-foliar-disease-detection", "kernel_id": "16156317"}, {"ref": "maxvandijck/plant-pathology", "kernel_id": "16643169"}, {"ref": "ngochieunguyen/g5-pp2021-multi-fold-inferrence", "kernel_id": "16843674"}, {"ref": "ngochieunguyen/plant2021-training", "kernel_id": "16675463"}, {"ref": "jeongwonkim10516/plant-pathology-2021-fgvc8-augmentations-mixup", "kernel_id": "16143047"}, {"ref": "jeongwonkim10516/plant-pathology-2021-fgvc8-efficientnet-baseline", "kernel_id": "16499751"}, {"ref": "arthurbettine/plant-pathology-pae", "kernel_id": "16051813"}, {"ref": "tracychui/testfork-of-notebook4d6009cea0", "kernel_id": "16437752"}, {"ref": "tracychui/resnet50-customized1", "kernel_id": "16518593"}, {"ref": "mohammadmakahleh/ai-paper", "kernel_id": "16026171"}, {"ref": "greynolan/plant-pathology-2021-submission", "kernel_id": "16346855"}, {"ref": "greynolan/plant-pathology-2021", "kernel_id": "16019651"}, {"ref": "jerifate/plant-pathology-2021-keras-model-inceptionv3", "kernel_id": "16083538"}, {"ref": "alexanderkatolikov/efficientnetv2-m-focal-loss-weighted-threshold", "kernel_id": "16285461"}, {"ref": "emorkrin/baseline-keras-17-04", "kernel_id": "16036661"}, {"ref": "jena0001/analysis-and-preprocessing", "kernel_id": "16877146"}, {"ref": "teddy880511/fgvc8", "kernel_id": "16150365"}, {"ref": "baokar7/plant-pathology-with-keras-and-transfer-learning", "kernel_id": "16638573"}, {"ref": "jarxrr/ensemble", "kernel_id": "16613574"}, {"ref": "mohamedbakrey/m-b-plant-pathology-2021-make-eda", "kernel_id": "16597243"}, {"ref": "umarmasud/plant-pathology-2021-classification-inceptionv3", "kernel_id": "16757155"}, {"ref": "umarmasud/inceptionv3-classification", "kernel_id": "16773392"}, {"ref": "mansigp/plant-leaf-mobile-net", "kernel_id": "16395147"}, {"ref": "dhruv282/plant-pathology-notebook-v2", "kernel_id": "16040388"}, {"ref": "minhhon/resnet152-tez", "kernel_id": "16424070"}, {"ref": "minhhon/vgg-16-fine-tuning", "kernel_id": "16716119"}, {"ref": "vasumavani/plant-pathology-2021-submission", "kernel_id": "16169226"}, {"ref": "hatchat/plantpathology-eff", "kernel_id": "16815233"}, {"ref": "haoqianwang/notebookd7e0cc5787", "kernel_id": "16489106"}, {"ref": "lockieu12/cdcn2021-loc", "kernel_id": "16939526"}, {"ref": "jacobkutchi/plantpathology-jkutchi", "kernel_id": "16641331"}, {"ref": "artemygolovnev/cnn-keras-multi-label-classification", "kernel_id": "16815016"}, {"ref": "hilongnguyn/plantpathsubmit", "kernel_id": "16943341"}, {"ref": "hilongnguyn/finalproj", "kernel_id": "16687309"}, {"ref": "antoreepjana/multi-label-image-classification-plant-pathology", "kernel_id": "16709684"}, {"ref": "v1olet1nor1/plant-test-eff", "kernel_id": "16647963"}, {"ref": "tedjdchen/plant2021-project", "kernel_id": "16929172"}, {"ref": "tringuyenminh1204/pp-2021-new", "kernel_id": "16069921"}, {"ref": "abeeromar/assinment-ai", "kernel_id": "16696522"}, {"ref": "wangyapeng1023/384-size", "kernel_id": "16973806"}, {"ref": "congnguyen8201/int3414-22-n11-training", "kernel_id": "16943749"}, {"ref": "congnguyen8201/n11-submit", "kernel_id": "16951183"}, {"ref": "hnginhxun/pp2021-tpu-tf-training", "kernel_id": "16845524"}, {"ref": "anandagdhi/plant-pathology-eda", "kernel_id": "16387337"}, {"ref": "danaagybayeva/notebook9b8914c531", "kernel_id": "16746980"}, {"ref": "ulrichebling/what-is-wrong-with-my-submission-file", "kernel_id": "16942518"}, {"ref": "tunguyen240820/plant", "kernel_id": "16814803"}, {"ref": "tunguyen240820/new-plant-without-imagedatagenerator", "kernel_id": "16987726"}, {"ref": "hantienkhanhan/plant-pathology-2021-cnn-model", "kernel_id": "16796367"}, {"ref": "hantienkhanhan/plant-pathology-2021-resnet50v2-transfer", "kernel_id": "16900027"}, {"ref": "phmvithong/plant-pathology", "kernel_id": "16935332"}, {"ref": "hoang18020566/nh-m-10-c-cn", "kernel_id": "16988765"}, {"ref": "hoang18020566/saving-apple-trees-with-fastai", "kernel_id": "16987930"}, {"ref": "hoang18020566/cdcn-group10", "kernel_id": "16954891"}, {"ref": "long0906/plant-tree-01", "kernel_id": "16976748"}, {"ref": "chuck23233/full-trained-densenet", "kernel_id": "16581547"}, {"ref": "truboise/notebook67c787e1d0", "kernel_id": "16685139"}, {"ref": "truboise/plant-pathology-cnn-model", "kernel_id": "16762087"}, {"ref": "doananh020418/plant2021-using-alexnet-2", "kernel_id": "16823775"}, {"ref": "hainambui/plant-pathology-densenet169", "kernel_id": "16982942"}, {"ref": "longhainguyen/nh-m-1-chuy-n-c-ng-ngh-submission", "kernel_id": "16954078"}, {"ref": "kirichenko17roman/inference", "kernel_id": "17124010"}, {"ref": "kirichenko17roman/pytorch-efficientnet", "kernel_id": "17058660"}, {"ref": "loilevan/restnet-nh-m8", "kernel_id": "17054481"}, {"ref": "devyacheslav/lightning-inference-plant-pathology-2021", "kernel_id": "17055885"}, {"ref": "masatosampei/plant-pathology-crop-leaf-by-canny", "kernel_id": "17113775"}, {"ref": "razatabish/plant-pathology", "kernel_id": "17986297"}, {"ref": "memorylorry/efficientb4-inference", "kernel_id": "17178253"}, {"ref": "damianib/tfrecords-plant-pathology", "kernel_id": "17058767"}, {"ref": "rustyelectron/prepare-leafseg-dataset", "kernel_id": "17189759"}, {"ref": "suvoooo/plant-pathology-multilabel-inceptionv3", "kernel_id": "17106961"}, {"ref": "dandierlean/dataset-evaluation", "kernel_id": "17092631"}, {"ref": "hansoleom/submit-test", "kernel_id": "17159284"}, {"ref": "birajsth/plant-pathology", "kernel_id": "17649504"}, {"ref": "mohanqwerty5/plant-pathology-2021-fgvc8-val-acc-85", "kernel_id": "17058565"}, {"ref": "falloutbabe/pp-2021-inference", "kernel_id": "17187768"}, {"ref": "falloutbabe/pp-2021-multi-label-model", "kernel_id": "17163769"}, {"ref": "ztaihong/fgvc8-efficientnetb7-multilabel", "kernel_id": "17243500"}, {"ref": "omrastogi/plantpathology", "kernel_id": "17028137"}, {"ref": "qianzxz/fork-of-pytorchlightning-efficientnet-focalloss-in", "kernel_id": "17245544"}, {"ref": "sarahmasdeh/ai-plant", "kernel_id": "17384993"}, {"ref": "nur988/plant-2021-inference", "kernel_id": "17009585"}, {"ref": "thirupalanim/plant-pathology", "kernel_id": "17052855"}, {"ref": "flsantna/plant-pathology", "kernel_id": "17280833"}, {"ref": "nikitakirpa/pytorch-efficientnet", "kernel_id": "17102816"}, {"ref": "rohithkumarravi/plant-pathology", "kernel_id": "17031193"}, {"ref": "nguynvitlong/nh-m-1-chuy-n-c-ng-ngh", "kernel_id": "17049290"}, {"ref": "nguynvitlong/eda-plant-pathology", "kernel_id": "17027486"}, {"ref": "nguynvitlong/plant-pathology-detail-eda", "kernel_id": "17025330"}, {"ref": "duythanhng/pp2021-keras-fine-tune", "kernel_id": "17100804"}, {"ref": "tototohpl/group2-processing-data", "kernel_id": "17065597"}, {"ref": "nameeman/practica-1-dl-galech-amillano-probl-originalkaggle", "kernel_id": "17135292"}, {"ref": "nameeman/m2-875-deep-lrng-pr-ctica-1-galech-amillano-i-aki", "kernel_id": "17208813"}, {"ref": "rasulibragimov/multi-label-model-traning", "kernel_id": "17795682"}, {"ref": "virajkadam/plant-pathology-inference", "kernel_id": "17185539"}, {"ref": "tamtamxtamtam/model", "kernel_id": "17038022"}, {"ref": "kzawora/dlcv-projekt-submission", "kernel_id": "17374545"}, {"ref": "kzawora/dlcv-projekt", "kernel_id": "17350562"}, {"ref": "huzeyfedegirmenci/plant-effnet-predict-87", "kernel_id": "17453387"}, {"ref": "konstantinitsi/pytorch-efficientnet-my-version", "kernel_id": "17117614"}, {"ref": "konstantinitsi/fork-of-pytorch-efficientnet-my-version2", "kernel_id": "17180734"}, {"ref": "bcghost/pytorchlightning-efficientnet-focalloss-training", "kernel_id": "17044852"}, {"ref": "bcghost/prepare-dataset-resizing-and-saving-as-png", "kernel_id": "17044921"}, {"ref": "pawelkolakowski/plant-pathology-fgvc8-inference", "kernel_id": "17701843"}, {"ref": "katuniq/resnet-v2-0s", "kernel_id": "17046680"}, {"ref": "katuniq/renset-50-v2-0", "kernel_id": "17034034"}, {"ref": "sakshi12345/main-sub", "kernel_id": "17079423"}, {"ref": "ligala/pytorch-efficientnet", "kernel_id": "17208283"}, {"ref": "andytran32/plant-resnet50", "kernel_id": "17017123"}, {"ref": "studywitht/densenets121", "kernel_id": "17056015"}, {"ref": "tuaaanminh/plant2021-prediction", "kernel_id": "17008438"}, {"ref": "ngochieunguyen/final-pp2021-training-t", "kernel_id": "17054315"}, {"ref": "mohammadmakahleh/plant-pathology-2021-fgvc8-transfer-learning", "kernel_id": "17328575"}, {"ref": "jena0001/preprocessing-kim-long", "kernel_id": "17012332"}, {"ref": "jena0001/final", "kernel_id": "17017570"}, {"ref": "rukayaamzat/folia-classification-eda-conv-model", "kernel_id": "17269285"}, {"ref": "sachinsachan2021/plant-pathologyv0-1", "kernel_id": "17441221"}, {"ref": "ducanhjlk/lof-s-ver-resnet18-train", "kernel_id": "17064449"}, {"ref": "ducanhjlk/nh-m-1-chuy-n-c-ng-ngh-951f24", "kernel_id": "17063110"}, {"ref": "ducanhjlk/lof-s-ver-resnet18-submit", "kernel_id": "17063471"}, {"ref": "gauravsethia/multi-branch-decoder-model", "kernel_id": "17056765"}, {"ref": "phannguyenthe/plant-pathology-2021-fgvc8", "kernel_id": "17056423"}, {"ref": "phannguyenthe/notebookfc95a8928b", "kernel_id": "17054459"}, {"ref": "phannguyenthe/plant-resnet50", "kernel_id": "17024932"}, {"ref": "qkn123/efficientb4-focalloss", "kernel_id": "17003530"}, {"ref": "qkn123/efficientb4-inference", "kernel_id": "17032365"}, {"ref": "qkn123/phan-tich-loi-pp", "kernel_id": "17036839"}, {"ref": "minhhon/resnet18-tez-submitver", "kernel_id": "17025823"}, {"ref": "lockieu12/plant-vgg16", "kernel_id": "17025939"}, {"ref": "elenakhachatryan/experiment-tracking-w-weights-and-biases-russia", "kernel_id": "17384161"}, {"ref": "anshalsingh/plant-pathology", "kernel_id": "17413982"}, {"ref": "hilongnguyn/nh-m-1-chuy-n-c-ng-ngh-resnet50", "kernel_id": "17024573"}, {"ref": "assasin0527/efficientb4-inference-17b66e", "kernel_id": "17323371"}, {"ref": "csy1432/notebook6251d770cd", "kernel_id": "17155868"}, {"ref": "guillemfelis/plant-pathology-2021", "kernel_id": "17293458"}, {"ref": "jaimemiguelatanes/plantas2021", "kernel_id": "17860980"}, {"ref": "prepare4/efficient-b4-b5", "kernel_id": "17114500"}, {"ref": "congnguyen8201/int3414-22-n11-preprocessing", "kernel_id": "17047482"}, {"ref": "anhtien2000/densenet169-group-12", "kernel_id": "17074458"}, {"ref": "anhtien2000/leafapple", "kernel_id": "17036376"}, {"ref": "tunguyen240820/plant-resnet50", "kernel_id": "17009845"}, {"ref": "tunguyen240820/plant-dense121", "kernel_id": "17024349"}, {"ref": "tunguyen240820/plant-vgg16", "kernel_id": "17024431"}, {"ref": "trinhtt/cdcn-cnn-model-zoo", "kernel_id": "17056467"}, {"ref": "hantienkhanhan/plant-pathology-2021-resnet50v2-transfer-learning", "kernel_id": "17034069"}, {"ref": "hngtrnchong/cnn-model-final", "kernel_id": "17052789"}, {"ref": "hngtrnchong/cnn-model", "kernel_id": "17038418"}, {"ref": "hngtrnchong/plant-pathology-cnn-model", "kernel_id": "17016732"}, {"ref": "phuongbuiuet/inceptionv3", "kernel_id": "17068289"}, {"ref": "nguyenkimlong/densenet169-group-12", "kernel_id": "17061354"}, {"ref": "nguyenkimlong/efficientnetb4-group12", "kernel_id": "17065955"}, {"ref": "nguyenkimlong/preprocessing-group12", "kernel_id": "17027151"}, {"ref": "tohkunhao/utilstorch", "kernel_id": "17481442"}, {"ref": "bachhieu/nh-m-8", "kernel_id": "17071464"}, {"ref": "bachhieu/nh-m-8-chuy-n-cn", "kernel_id": "17063880"}, {"ref": "nhatnam1/multi-label-with-fastai", "kernel_id": "17064882"}, {"ref": "hanguyen18020434/plant-pathology-densenet169", "kernel_id": "17015217"}, {"ref": "hanguyen18020434/plant-pathology-2021-resnet50-detail-mode-v20mod", "kernel_id": "17006915"}, {"ref": "aphilip/plantpath2021-fastai", "kernel_id": "17926798"}, {"ref": "levanloiuet/transfer-learning", "kernel_id": "17037114"}, {"ref": "levanloiuet/cnn-model-530c07", "kernel_id": "17052880"}, {"ref": "nitekot/fork-of-inference-plant2021-detectron", "kernel_id": "17257668"}, {"ref": "longhainguyen/nh-m-1-chuy-n-c-ng-ngh-densenet121", "kernel_id": "17048817"}, {"ref": "dinhman/notebook5e682e7f1f", "kernel_id": "17055348"}, {"ref": "dinhman/densenet", "kernel_id": "17047440"}, {"ref": "namanh246/plant-pathology-2021-resnet50-detail-mode-bcd015", "kernel_id": "17008749"}, {"ref": "minho119/resnet18-tez", "kernel_id": "17003499"}, {"ref": "minho119/resnet18-tez-submitver", "kernel_id": "17038393"}, {"ref": "minho119/resnet18-train", "kernel_id": "17050248"}, {"ref": "minho119/lof-s-ver-resnet18-submit", "kernel_id": "17050294"}, {"ref": "anhtra/hehee", "kernel_id": "17050089"}, {"ref": "tunguyenhrtech/plant-densenet169", "kernel_id": "17048402"}, {"ref": "tunguyenhrtech/self-build-model", "kernel_id": "17053968"}, {"ref": "tunguyenhrtech/vgg16-plant", "kernel_id": "17004071"}, {"ref": "miaclone/plant", "kernel_id": "17008934"}, {"ref": "thnh18021232/cdcn-nh-m-3", "kernel_id": "17041856"}, {"ref": "fan141/plant-resnet50", "kernel_id": "17034729"}, {"ref": "fan141/notebookfc95a8928b", "kernel_id": "17039180"}, {"ref": "fan141/plant-pathology-2021-fgvc8-de62cc", "kernel_id": "17061641"}, {"ref": "ngothinhdz/cdcn-thinh", "kernel_id": "17039157"}, {"ref": "tmnguynnn/model", "kernel_id": "17042828"}, {"ref": "khanhan4/plant-pathology-2021-resnet152v2-transfer-learning", "kernel_id": "17047213"}, {"ref": "long248/inceptionresnetv2", "kernel_id": "17051927"}, {"ref": "bonggg/notebooke6e8b09885", "kernel_id": "17061814"}, {"ref": "bonggg/densenet-prediction", "kernel_id": "17064492"}, {"ref": "minhhoan119/resnet152-submit", "kernel_id": "17071169"}, {"ref": "minhhoan119/resnet152-train", "kernel_id": "17071180"}, {"ref": "zanezzephyrs/ppt21-effb5", "kernel_id": "18588102"}, {"ref": "amritpal333/dataloaders-in-pytorch-image-data", "kernel_id": "18656048"}, {"ref": "khoileanh/plant-pathology-exercise", "kernel_id": "18440598"}, {"ref": "saloelia/model-submission", "kernel_id": "18850085"}, {"ref": "saloelia/plantpathology-1stmodel", "kernel_id": "18421154"}, {"ref": "talbalelty/pathology-assignment-inference", "kernel_id": "18595897"}, {"ref": "colinzzy/pytorch-efficientnet", "kernel_id": "18515337"}, {"ref": "cnnxujing/fgvc8-efficientnetb7-pytorch", "kernel_id": "18744254"}, {"ref": "saruhangngr/transfer-learning-with-tensorflow", "kernel_id": "18852671"}, {"ref": "cthmic/b4-finetune", "kernel_id": "18914464"}, {"ref": "baronting/test-cut", "kernel_id": "18587312"}, {"ref": "baronting/xception-test", "kernel_id": "18550236"}, {"ref": "baronting/xception-test2", "kernel_id": "18568027"}, {"ref": "baronting/xception-skfold", "kernel_id": "18714567"}, {"ref": "baronting/oversample-b4-4fold2-ncv-bc", "kernel_id": "18764286"}, {"ref": "kouta1/plant-pathology-2021-fgvc8-transfer-learning", "kernel_id": "18284312"}, {"ref": "andyhsueh/fgvc8-256-384-0714", "kernel_id": "18568117"}, {"ref": "andyhsueh/fgvc8-b4-auc0713", "kernel_id": "18569264"}, {"ref": "andyhsueh/fgvc8-384-b4-0716", "kernel_id": "18623125"}, {"ref": "andyhsueh/fgvc8-500-350-b4-0714", "kernel_id": "18589092"}, {"ref": "andyhsueh/fgvc8-512-512-b4-0712", "kernel_id": "18590130"}, {"ref": "andyhsueh/2021fgvc8-384-b4-t15", "kernel_id": "18464923"}, {"ref": "andyhsueh/dataset-compare-n-2", "kernel_id": "18706493"}, {"ref": "andyhsueh/opencv-xception-0720", "kernel_id": "18729166"}, {"ref": "andyhsueh/384-b5-0718", "kernel_id": "18657677"}, {"ref": "andyhsueh/299-incv3-0718", "kernel_id": "18674173"}, {"ref": "andyhsueh/2m-tta-ensemble", "kernel_id": "18897221"}, {"ref": "andyhsueh/b4-4f-cv-ho", "kernel_id": "18862159"}, {"ref": "andyhsueh/b4-oversample-4fold-cv-bc-255", "kernel_id": "18836044"}, {"ref": "jefferycheng/v3-01", "kernel_id": "18568402"}, {"ref": "jefferycheng/incresv2-01", "kernel_id": "18576053"}, {"ref": "jefferycheng/b4-auc-01", "kernel_id": "18527096"}, {"ref": "davidkuo0401/xcption-tta", "kernel_id": "18644465"}, {"ref": "davidkuo0401/pp-oversample-tta-ensemble", "kernel_id": "18847649"}, {"ref": "chenghsuntseng/notebook4d6d459d63", "kernel_id": "18531159"}, {"ref": "wanching/fgvc8-0-incv3-299-299", "kernel_id": "18631078"}, {"ref": "zwtyyds/pgysb", "kernel_id": "18597140"}, {"ref": "alekseyeliseev/pytorchlightning-efficientnetv2-inference-tsfm", "kernel_id": "19322419"}, {"ref": "yashvi/classify-diseases-in-apple-trees-beginner", "kernel_id": "19466876"}, {"ref": "pratikkoratkp/transfer-learning-using-keras", "kernel_id": "19799286"}, {"ref": "wabinab/test-tpu-training", "kernel_id": "19900143"}, {"ref": "victoroltean/plantpathologyanalysis", "kernel_id": "19260183"}, {"ref": "ashutosh111/notebook75e5482119", "kernel_id": "20312155"}, {"ref": "takanarikonishi/plant-pathology-2021-keras-practice", "kernel_id": "20624321"}, {"ref": "vishnuvardhan1807/notebook446222ac5f", "kernel_id": "20524428"}, {"ref": "bcghost/pp-data-argument-3000", "kernel_id": "20047978"}, {"ref": "shikhar0051/plant-disease-detection", "kernel_id": "20834038"}, {"ref": "thnhhunhtn/submission", "kernel_id": "21320457"}, {"ref": "seyunhan/pbl4-googlenet-training", "kernel_id": "21703839"}, {"ref": "asdfdfwdg/plant-pathology-densenet169-pbl4", "kernel_id": "21703869"}, {"ref": "leeyuhyun/pbl-vgg", "kernel_id": "21704163"}, {"ref": "pimpitcha/project1-4", "kernel_id": "21992221"}, {"ref": "whitebigshark/pre-final-potemkin30", "kernel_id": "22978897"}, {"ref": "whitebigshark/trained-potemkin", "kernel_id": "22989402"}, {"ref": "whitebigshark/pre-final-potemkin10", "kernel_id": "22968690"}, {"ref": "whitebigshark/inter-notebook-potemkin", "kernel_id": "22942030"}, {"ref": "prismwinter/notebookff5577e22d", "kernel_id": "22480487"}, {"ref": "prismwinter/notebookd60e7039fe", "kernel_id": "22549822"}, {"ref": "prismwinter/notebookd60895408d", "kernel_id": "22550045"}, {"ref": "prismwinter/notebookec6c2d4b0f", "kernel_id": "22531389"}, {"ref": "prismwinter/notebook58a9b4add2", "kernel_id": "22533382"}, {"ref": "anonyhost/nh-m-3-efficientnetb7-training", "kernel_id": "22377153"}, {"ref": "anonyhost/nh-m-3-efficientnet-training", "kernel_id": "22301824"}, {"ref": "trnhuhuy/eda-huy", "kernel_id": "22350679"}, {"ref": "trnminh/eda-disease-in-apple-trees", "kernel_id": "22270797"}, {"ref": "thnhhunhtn/b7-tpu", "kernel_id": "22160606"}, {"ref": "kaushaljadhav/use-pytorch-lightning-with-weights-and-biases", "kernel_id": "22650487"}, {"ref": "javidejuan/plantas-torneo", "kernel_id": "22089221"}, {"ref": "suminl/efficientnet", "kernel_id": "22419105"}, {"ref": "dcobac/dl-project", "kernel_id": "22611644"}, {"ref": "vinhphmquang/efficientnet-v2-final-submit", "kernel_id": "22213941"}, {"ref": "vinhphmquang/efficientnet-b5-submit", "kernel_id": "22215092"}, {"ref": "vinhphmquang/efficientnet-b5-fullaug", "kernel_id": "22173195"}, {"ref": "vinhphmquang/efficientnet-v2-fullaug-submit", "kernel_id": "22085654"}, {"ref": "vinhphmquang/efficientnet-v2-geoaug-submit", "kernel_id": "22251338"}, {"ref": "vinhphmquang/efficientnet-v2-insectaug-submit", "kernel_id": "22251538"}, {"ref": "vinhphmquang/efficientnet-v2-raw-submit", "kernel_id": "22233366"}, {"ref": "vinhphmquang/efficientnet-v2-pixelaug-submit", "kernel_id": "22258234"}, {"ref": "vinhphmquang/ensemnle-v2-geo-insect", "kernel_id": "22303788"}, {"ref": "vinhphmquang/submit-b7-v2", "kernel_id": "22389811"}, {"ref": "vinhphmquang/ensemnle-v2-full-insect", "kernel_id": "22640912"}, {"ref": "vinhphmquang/ensemnle-v2-full-pixel", "kernel_id": "22640929"}, {"ref": "vinhphmquang/ensemnle-v2-pixel-insect", "kernel_id": "22639912"}, {"ref": "vinhphmquang/ensemnle-v2-full-geo", "kernel_id": "22640530"}, {"ref": "vinhphmquang/ensemnle-v2-pixel-geo", "kernel_id": "22640187"}, {"ref": "vinhphmquang/submit-vgg16-v2", "kernel_id": "22554984"}, {"ref": "vinhphmquang/submit-b0-v2", "kernel_id": "22554687"}, {"ref": "vinhphmquang/web-app", "kernel_id": "22507870"}, {"ref": "hunhtnthnh/vgg19", "kernel_id": "22053384"}, {"ref": "hunhtnthnh/fgvc8-b0", "kernel_id": "22175288"}, {"ref": "hunhtnthnh/efficientnet-b0", "kernel_id": "22409804"}, {"ref": "hunhtnthnh/submit-efn-b0-full-aug", "kernel_id": "22409590"}, {"ref": "hunhtnthnh/submit-vgg16-full-aug", "kernel_id": "22398215"}, {"ref": "hunhtnthnh/submit-vgg19-full-aug", "kernel_id": "22394365"}, {"ref": "hunhtnthnh/vgg16", "kernel_id": "22391869"}, {"ref": "hunhtnthnh/test-wp", "kernel_id": "22491173"}, {"ref": "tunguyen991/resnet152-480x480-submission", "kernel_id": "22531391"}, {"ref": "tunguyen991/resnet50v2-480x480-submission", "kernel_id": "22527954"}, {"ref": "tunguyen991/resnet50-480x480-submision", "kernel_id": "22526049"}, {"ref": "tunguyen991/resnet50-224x224-submission", "kernel_id": "22366811"}, {"ref": "tunguyen991/resnet50v2-224x224-submission", "kernel_id": "22367660"}, {"ref": "huynhdotanthanh/fgvc8-b0-full-aug", "kernel_id": "22175287"}, {"ref": "levapmetop/pre-trained-metop", "kernel_id": "22996370"}, {"ref": "vinhphmquang/submit-resnet-v2", "kernel_id": "23113187"}, {"ref": "vinhphmquang/submit-b7-b0", "kernel_id": "23112987"}, {"ref": "supharoekkongprapane/plant-classification", "kernel_id": "23669758"}, {"ref": "kirtankanani/notebookfddf2734c2", "kernel_id": "24697004"}, {"ref": "xcwxcwxcw/plants-keras", "kernel_id": "24161087"}, {"ref": "seyunhan/inceptionresnetv2-keras-pbl4", "kernel_id": "24028967"}, {"ref": "asdfdfwdg/fork-of-plant-pathology-densenet169-pbl4", "kernel_id": "24385941"}, {"ref": "asdfdfwdg/plant-pathology-densenet201", "kernel_id": "24592559"}, {"ref": "gureepu/ml-project", "kernel_id": "24986690"}, {"ref": "farouk96/plant-pathologie-submission", "kernel_id": "24451921"}, {"ref": "onumadeemoo/plant-durain", "kernel_id": "24761732"}, {"ref": "onumaremem/classify-diseases-in-apple-trees-beginner", "kernel_id": "24755614"}, {"ref": "onumaremem/plant-durain", "kernel_id": "24755102"}, {"ref": "coldfir3/plant-small-dataset-generator", "kernel_id": "25206886"}, {"ref": "svyatoslavsokolov/plant-pathology-for-students", "kernel_id": "25951121"}, {"ref": "krishadawut/ml-project", "kernel_id": "25437656"}, {"ref": "gureepu/ml-project-21-03-2022", "kernel_id": "25611970"}, {"ref": "phanttan/wandb-tutorial", "kernel_id": "26378473"}, {"ref": "sorooshtootoonchian/plant-pathology-test-1", "kernel_id": "26687759"}, {"ref": "krishadawut/ml-project-21-03-2022", "kernel_id": "26610044"}, {"ref": "alexgur/plant-pathology-data-self-cleaning", "kernel_id": "26889608"}, {"ref": "jdd2022/mobilenetv2", "kernel_id": "26437342"}, {"ref": "xopcxopcob/submit-b7-v2", "kernel_id": "26474745"}, {"ref": "kimdahyeon/notebookf1417ba421", "kernel_id": "27639491"}, {"ref": "farhankarimapt/plant-pathology-resnet50", "kernel_id": "27450096"}, {"ref": "jdd2022/notebook-plot2", "kernel_id": "27322039"}, {"ref": "jdd2022/2022jdd-research-on-apple-leaf-disease", "kernel_id": "27292592"}, {"ref": "souravsharma3776/plant-pathology", "kernel_id": "28957430"}, {"ref": "yehias21/leaf-patho-classification", "kernel_id": "29684567"}, {"ref": "rajasreerajamohanan/pp2021-tpu-tf-training", "kernel_id": "29812755"}, {"ref": "sebastiansarasti/leafes-disease-classificacion", "kernel_id": "29391918"}, {"ref": "graphlab/fastdup-kmeans", "kernel_id": "30544466"}, {"ref": "raghava50/ml-mini-project-plant-pathology", "kernel_id": "30051217"}, {"ref": "madhusudhanreddy769/plant-pathology-2022", "kernel_id": "30045792"}, {"ref": "chilukanikhila/training-book1", "kernel_id": "30443265"}, {"ref": "marceloleaumm/plant-pathology-2021", "kernel_id": "30348105"}, {"ref": "parasavenkatapavan/notebook2dd4189bb0", "kernel_id": "30142773"}, {"ref": "nikhisci/firstnotebook", "kernel_id": "30167424"}, {"ref": "somertonman/plant-pathology", "kernel_id": "31648259"}, {"ref": "ahmederaky/plants-image-processing", "kernel_id": "31493657"}, {"ref": "marceloleaumm/plant-pathology-efficientnetv2-treinado", "kernel_id": "31602502"}, {"ref": "mirnawazahmad/apple-leafes-disease-classification", "kernel_id": "32625141"}, {"ref": "atharvatirkhunde/classify-diseases-in-apple-trees-beginner", "kernel_id": "32171334"}, {"ref": "kylecompare/teamology-plantpathology", "kernel_id": "32135598"}, {"ref": "anastasiaspirova/plant-pathologies", "kernel_id": "32334194"}, {"ref": "mishranileshravindra/disease-2", "kernel_id": "33712017"}, {"ref": "leon2222/2022-12-07-first-own-plant-network", "kernel_id": "33092774"}, {"ref": "nizarmasmoudi/plant-pathology-2021-assignment", "kernel_id": "34153300"}, {"ref": "raunakkrishanjaiswal/demo-notebook", "kernel_id": "34772658"}, {"ref": "abdallahwagih/plant-pathology-multilabel-image-classification", "kernel_id": "34410387"}, {"ref": "alejandroguayaquil/notebook76f730d558", "kernel_id": "35278856"}, {"ref": "harpdeci/multi-label-classification-plant-pathology", "kernel_id": "35444059"}, {"ref": "zalyildirim/beginner-s-image-processing-and-eda", "kernel_id": "36398622"}, {"ref": "aravmathur23/arav-s-plant-pathology", "kernel_id": "36484543"}, {"ref": "mvg2705/inception-v3", "kernel_id": "36807900"}, {"ref": "mvg2705/densnet169", "kernel_id": "36700139"}, {"ref": "jaroslavrutkovskij/bakalauras", "kernel_id": "38414152"}, {"ref": "malongnan/leaf-disease-classifier", "kernel_id": "38531420"}, {"ref": "tolgacemtaskin/save-resnet50", "kernel_id": "40370697"}, {"ref": "tolgacemtaskin/resnet50", "kernel_id": "40353883"}, {"ref": "kimseokje/plant-pathology-2021-base-line", "kernel_id": "42400228"}, {"ref": "hadeerismail/plant-pathology-multilabel-image-classification", "kernel_id": "44288872"}, {"ref": "hadeerismail/notebook8e20f64d45", "kernel_id": "44202352"}, {"ref": "jofernando/notebook7f4138dfee", "kernel_id": "45350828"}, {"ref": "mehmedumer0028/identifying-multiple-disease-on-single-leaf", "kernel_id": "45215860"}, {"ref": "threeoendton/test-ai", "kernel_id": "45628524"}, {"ref": "totongtheparak/pbl-vgg", "kernel_id": "45626428"}, {"ref": "sayantikanag/plantpathology-5934-project", "kernel_id": "47808947"}, {"ref": "saurabh3197/fgcv8-mobilenetv2", "kernel_id": "47745081"}, {"ref": "blkcunningham/plantproject1", "kernel_id": "52895695"}, {"ref": "sultanssss/plantpathology-5934-project", "kernel_id": "53529676"}, {"ref": "adorama/plant-2021-task", "kernel_id": "57406454"}, {"ref": "sobol98/plant-2021-task-dlcv", "kernel_id": "59301193"}, {"ref": "kappyy/notebookabbb3bd005", "kernel_id": "69657105"}, {"ref": "zyh1104/043-plant-pathology-2021-fgvc8", "kernel_id": "71845156"}, {"ref": "kappyy/fork-of-notebookabbb3bd005", "kernel_id": "72029128"}, {"ref": "grumman/plant-pathology-multilabel-image-classific-b39ce2", "kernel_id": "72042871"}, {"ref": "supakitmamart/test-project-supakit-mamart-670631041", "kernel_id": "73374693"}, {"ref": "hjiseok/plant-pathology-2021-pre-trained-resnet", "kernel_id": "74783656"}, {"ref": "maximzaharov/da-laba-cv-finetuning", "kernel_id": "77619780"}, {"ref": "muntasirefaz574/insect-detection", "kernel_id": "83526682"}, {"ref": "sayurighosh/plant-pathology-detail-eda-pytorch", "kernel_id": "85047390"}, {"ref": "vlongphan/plantd-e", "kernel_id": "91653939"}, {"ref": "komalkaler/plant-pathology-ml", "kernel_id": "95549094"}, {"ref": "nhtminhmai/plant-pathology", "kernel_id": "103147661"}, {"ref": "zainabayman/plant-pathology-2021-fgvc8", "kernel_id": "103394737"}, {"ref": "alielgazzar/plantpathologyresnet-ali-abdeltawwab-ahmed-ramdan", "kernel_id": "103626150"}, {"ref": "nhtminhmai/densenet-hjeu", "kernel_id": "105996460"}, {"ref": "hieu0907/densenet-hjeu", "kernel_id": "105310655"}, {"ref": "hquangoo5/resnet-hquang", "kernel_id": "105405400"}, {"ref": "nhtminhmai/cnn-plant-pathology", "kernel_id": "106354962"}, {"ref": "nhtminhmai/resnet-hquang", "kernel_id": "106122423"}, {"ref": "sonianazeer842/notebookcd13716ae4", "kernel_id": "109302239"}, {"ref": "iliamireskandari/plant-pathology-2021-inference", "kernel_id": "113972786"}, {"ref": "iyedfiras/notebook87a42bb02e", "kernel_id": "114980261"}, {"ref": "iyedfiras/project-final", "kernel_id": "114921568"}, {"ref": "kingxiii/ex-edition2", "kernel_id": "115085333"}, {"ref": "thystudying/assignment3", "kernel_id": "115086591"}, {"ref": "howeyyang/assignment3-6388", "kernel_id": "115134000"}, {"ref": "sanaaki/notebook64e0db4ee3", "kernel_id": "115129052"}, {"ref": "ffyyyyy/kaggle-competition", "kernel_id": "115388769"}, {"ref": "brycexing/plantpathology2021-b3-5fold-inference-submission", "kernel_id": "115686296"}, {"ref": "wjinlun/assignment3", "kernel_id": "115128080"}, {"ref": "yangzikuan/plantpathology2021-competition-revised", "kernel_id": "115577073"}, {"ref": "xukexin731/assignment-03", "kernel_id": "115130516"}, {"ref": "freebian/assignment-3", "kernel_id": "115468947"}, {"ref": "yuyingheng/assignment3-1", "kernel_id": "115127476"}, {"ref": "guoshengshi/assignment-03", "kernel_id": "115126906"}, {"ref": "linzixin6372/assigment3", "kernel_id": "115624337"}, {"ref": "huangyikun1234/ass333", "kernel_id": "115130152"}, {"ref": "violentfish/notebook02d86eb349", "kernel_id": "115127281"}, {"ref": "lixiangwangcoding/assignmentthree", "kernel_id": "115254801"}, {"ref": "lixiangwangcoding/assignment3-ipynb", "kernel_id": "115082811"}, {"ref": "alin678/assignment-three", "kernel_id": "115084176"}, {"ref": "gzzzhuo/assignment-3-cv", "kernel_id": "115693553"}, {"ref": "gzzzhuo/assignment2-cv-2", "kernel_id": "115787056"}, {"ref": "alai123/plantpathology2021-competition-revised", "kernel_id": "115747594"}, {"ref": "cccdxr111/assignment3", "kernel_id": "115440917"}, {"ref": "luoyangfei/assignment-03", "kernel_id": "115691491"}, {"ref": "miaokeyan/assignment-03-kaggle-competition", "kernel_id": "115410634"}, {"ref": "aminuoci/notebook7c1a73e34b", "kernel_id": "115085312"}, {"ref": "untono/notebook7d6746385b", "kernel_id": "115691990"}, {"ref": "untono/notebookc1539e41a9", "kernel_id": "115712908"}, {"ref": "wentaodie/submission", "kernel_id": "115128326"}, {"ref": "tujiachen1/notebook7e44ace499", "kernel_id": "115087283"}, {"ref": "zhangjiatong1212/notebook54431255d6", "kernel_id": "115126550"}, {"ref": "luoning12/assigment3", "kernel_id": "115531955"}, {"ref": "liwantao/compx326-assignment3", "kernel_id": "115323896"}, {"ref": "binhnu/assignment03", "kernel_id": "115128316"}, {"ref": "yhaowen123/assignment03", "kernel_id": "115393236"}, {"ref": "raaaa111/notebook-assignment3", "kernel_id": "115332836"}, {"ref": "xiaodaigege2333/notebook7a073130ca", "kernel_id": "115586288"}, {"ref": "wangjiarui2149/cvassignment3-1", "kernel_id": "115325042"}, {"ref": "liuxiaohan1/cvassignment3", "kernel_id": "115126652"}, {"ref": "xutina/xassignment3", "kernel_id": "115126900"}, {"ref": "yu38324/assignment3-3-1-3", "kernel_id": "115529372"}, {"ref": "xuassement/assognment3", "kernel_id": "115082822"}, {"ref": "lijiajun0521/assignment333", "kernel_id": "115696513"}, {"ref": "yinhuayu/assignment03-ipynb", "kernel_id": "115108936"}, {"ref": "aijingfei/plantpathology2021-competition-1", "kernel_id": "115083312"}, {"ref": "zhanganyi09/assignment3", "kernel_id": "115244574"}, {"ref": "yangkangling/kaggle-competition", "kernel_id": "115083596"}, {"ref": "yangkangling/assignment03", "kernel_id": "115206164"}, {"ref": "smy1146/notebook3743e455ab", "kernel_id": "115622123"}, {"ref": "liufengyuan0528/competition", "kernel_id": "115346315"}, {"ref": "liuliu594/33333", "kernel_id": "115513574"}, {"ref": "wy77666/assignment3-1", "kernel_id": "115638652"}, {"ref": "jayfreylewis/assignment3", "kernel_id": "115829265"}, {"ref": "molu111/notebook4239183abb", "kernel_id": "115821941"}, {"ref": "moonivy47/assignment3", "kernel_id": "115322269"}, {"ref": "lingemi/compx326-assignment3", "kernel_id": "115794270"}, {"ref": "llaterr/notebook7c4f8902c6", "kernel_id": "115828302"}, {"ref": "llaterr/notebook90f3bb63d7", "kernel_id": "115084225"}, {"ref": "zhouzhouang/assignment-03-kaggle-competition", "kernel_id": "115792959"}, {"ref": "sjdajdajnf/assignment3-id-20233006405", "kernel_id": "115695222"}, {"ref": "tanhaowu/assignment03", "kernel_id": "115452367"}, {"ref": "mohaicao/notebook1f9983bc3a", "kernel_id": "115835025"}, {"ref": "elestsc/assignment3", "kernel_id": "115127620"}, {"ref": "kskblzdjd123/assignment3", "kernel_id": "115082547"}, {"ref": "lichengyan6/notebooka3d73aba65", "kernel_id": "115242770"}, {"ref": "chenpannnn/assignmentthree", "kernel_id": "115628874"}, {"ref": "junhaortxonhuang/notebook5fa512d016", "kernel_id": "115518830"}, {"ref": "huangyiran01/notebook3ce7c4ea3c", "kernel_id": "115643380"}, {"ref": "candice7/assignment3", "kernel_id": "115127414"}, {"ref": "shiyuchen2005/assignment3", "kernel_id": "115130744"}, {"ref": "sga137034656/assignment3", "kernel_id": "115261853"}, {"ref": "zhulinger/assignment3zhulinger", "kernel_id": "115130058"}, {"ref": "tct666/assignment3", "kernel_id": "115129761"}, {"ref": "sutsumiyanatsu/notebook23230226a1", "kernel_id": "115127649"}, {"ref": "mcsjbcjacasda/notebookcb386acbfb", "kernel_id": "115667204"}, {"ref": "mightycattttt/assignment-3", "kernel_id": "115232712"}, {"ref": "pengxu697/notebookc4c83f551a", "kernel_id": "115127180"}, {"ref": "zhiyuguo1/compx326-assignment3-ipynb", "kernel_id": "115085843"}, {"ref": "zhiyuguo1/plant-pathology-ipynb", "kernel_id": "115707379"}, {"ref": "jiachen345/assignment3-final", "kernel_id": "115083803"}, {"ref": "yuewanzhen/notebook23c8425c37", "kernel_id": "115593846"}, {"ref": "lal868/assignment-03-kaggle-competition", "kernel_id": "115636319"}, {"ref": "qipadejun/assignment3", "kernel_id": "115746675"}, {"ref": "kongziheng/notebook948924b03c", "kernel_id": "115747998"}, {"ref": "mm0129el/assignment-3", "kernel_id": "115642813"}, {"ref": "cen1024/assignment3", "kernel_id": "115127435"}, {"ref": "sdyven/assignment3", "kernel_id": "115194497"}, {"ref": "jackeyhatezz/plantpathology2021-zhanghan", "kernel_id": "115441089"}, {"ref": "veromcahume/plant-pathology-2021-old", "kernel_id": "115090636"}, {"ref": "veromcahume/plantpathology2021-competition-revised", "kernel_id": "115127958"}, {"ref": "clarkewilson/assignment03", "kernel_id": "115150329"}, {"ref": "mykillua/notebookf1d48d111b", "kernel_id": "115343353"}, {"ref": "lxy20233006422/notebook44f5596f59", "kernel_id": "115515543"}, {"ref": "syt20233006401/notebook04a4446281", "kernel_id": "115538235"}, {"ref": "junyaoshi6416/assignmentnotebookd2890fcc7c", "kernel_id": "115450597"}, {"ref": "charm1ngace/notebookc98fab1b40", "kernel_id": "115844720"}, {"ref": "volcanosheep/notebookabd3267b81", "kernel_id": "115853461"}, {"ref": "kovkat25/project-ml", "kernel_id": "117276697"}, {"ref": "dakshethgokul/apple-disease-prediction-with-qpca", "kernel_id": "118373921"}, {"ref": "azmansikder/plant-pathology-2021-fgvc8", "kernel_id": "121385389"}, {"ref": "nabinkoirala452/plant-patholgoy-cv2", "kernel_id": "123085394"}, {"ref": "oceanwillfly/plantpathology2021-competition-revised", "kernel_id": "125768078"}, {"ref": "couterit/ai-doctor-plant", "kernel_id": "128194677"}, {"ref": "matejkodermac/plant-transfer-learning", "kernel_id": "129070077"}, {"ref": "nabinkoirala452/vaniladensenet121-plant-pathaology", "kernel_id": "130447787"}, {"ref": "nabinkoirala53/densenet-cbam", "kernel_id": "130449008"}, {"ref": "mohamedadiab/notebook4ec27f61ca", "kernel_id": "134542088"}, {"ref": "devilsam21/pp2021-analysis", "kernel_id": "136636465"}]}
{"competition_id": "25572", "kernels": []}
{"competition_id": "25579", "kernels": [{"ref": "savio97/ipl-2020-player-performance-code", "kernel_id": "14559292"}, {"ref": "saumyasinghz/ipl-pred1", "kernel_id": "14752823"}, {"ref": "hargunchhabra241998/h-c-submission", "kernel_id": "14754415"}, {"ref": "purav04/ipl-2020-player-performance", "kernel_id": "14573421"}, {"ref": "ketank2/intern-task-ketandhumal", "kernel_id": "14746860"}, {"ref": "paridhimodi/ipl-2020-player-performence", "kernel_id": "14576477"}, {"ref": "tikumesh/neolen-assignment", "kernel_id": "14670515"}, {"ref": "devendrachauhan/ipl-2020-formance", "kernel_id": "14688263"}, {"ref": "vishalrajupk/ipl-player-performance", "kernel_id": "14836109"}, {"ref": "hemant0rana/ipl-2020-prediction", "kernel_id": "14783460"}, {"ref": "ah3ana/neole-assignment", "kernel_id": "14790778"}, {"ref": "pritam7777/neolen-assignment", "kernel_id": "14559775"}, {"ref": "kineticfanatic/prediction-animesh", "kernel_id": "14728126"}, {"ref": "nanimack/perform-pred", "kernel_id": "14983912"}, {"ref": "ajay4535/ipl-player-performance-solution", "kernel_id": "14665299"}, {"ref": "shagunjain/ipl-2020", "kernel_id": "14756089"}, {"ref": "krishnendu25/neolentaskk", "kernel_id": "14733983"}, {"ref": "shreyatiwari/ipl-2020-analysis", "kernel_id": "14664664"}, {"ref": "geethgovinds/geeth-govind-ipl-player-performance-prediction", "kernel_id": "14800960"}, {"ref": "ayushvarshnay/ipl-2020-player-performance", "kernel_id": "14599112"}, {"ref": "sarvaatmakgalande/ipl2020", "kernel_id": "14619039"}, {"ref": "sarthakrastogi/fork-of-submission-sarthak", "kernel_id": "14796838"}, {"ref": "sarthakrastogi/submission-sarthak", "kernel_id": "14758074"}, {"ref": "rutikdesai/ipl-2020-player-performance-neolen", "kernel_id": "14727925"}, {"ref": "harshitgarg10/ipl-2020-analysis", "kernel_id": "14798667"}, {"ref": "vanditharai/ipl-player-performance", "kernel_id": "14724416"}, {"ref": "akasharekar/ipl-prediction-neolen", "kernel_id": "14790377"}, {"ref": "dushantkumar/notebook527095aa70", "kernel_id": "14605750"}, {"ref": "deepaghag/neolen-ass-dg", "kernel_id": "14989555"}, {"ref": "umang09/ipl-player-performance", "kernel_id": "14558090"}, {"ref": "himanshugupta64/notebook6d28a53dd2", "kernel_id": "14989708"}, {"ref": "shashankrajput9/ipl-performance", "kernel_id": "14665341"}, {"ref": "muskanmalviya/ipl-player-performance", "kernel_id": "14725818"}, {"ref": "mihirshah101/notebookebac72840b", "kernel_id": "14578774"}, {"ref": "shrenikkjain/ipl-fantasy-league", "kernel_id": "14683983"}, {"ref": "vivekchaurasia/neolen-ipl-task", "kernel_id": "14710269"}, {"ref": "rajeev064/notebook62367e118a", "kernel_id": "14577057"}, {"ref": "jeshanis/ipl-2020-score-prediction", "kernel_id": "14664751"}, {"ref": "ykushagra/ipl-players-performance-prediction", "kernel_id": "14670605"}, {"ref": "rakshit25/neolen-assignment", "kernel_id": "14709436"}, {"ref": "rajdeepsinghpanwar/notebook97c5a1d901", "kernel_id": "14694933"}, {"ref": "obibhuti/ipl-2020-player-performence", "kernel_id": "14683344"}, {"ref": "bhaveshpatel05/ipl-player-performance", "kernel_id": "14738095"}, {"ref": "mohdsohelqureshi/ipl-91-playerperfo-prediction-xgboost", "kernel_id": "14715274"}, {"ref": "mohdsohelqureshi/iplt20-playerperformance-prediction-91-accur", "kernel_id": "14989942"}, {"ref": "hashmeet/notebook9e25b446b9", "kernel_id": "14743078"}, {"ref": "archanadixit1974/ipl-neolen", "kernel_id": "14734573"}, {"ref": "vishalkmr06/neolen-task", "kernel_id": "14620222"}, {"ref": "idanishsharma/ipl-task-neolen", "kernel_id": "14583527"}, {"ref": "amitkumardeepak/notebook77ee82e476", "kernel_id": "14783846"}, {"ref": "moizlakkadkutta/ipl-player-score", "kernel_id": "14600070"}, {"ref": "rahulsharma5500/ipl-player-prediction-rahul-sharma-neolen", "kernel_id": "14725259"}, {"ref": "rahulsharma5500/rahul-sharma", "kernel_id": "14689244"}, {"ref": "sunnygeorge1025/ipl-prediction-sunny-george", "kernel_id": "14771647"}, {"ref": "subbugalam/prediction-11", "kernel_id": "14683753"}, {"ref": "yashviroja13/ipl-2020-performance-prediction", "kernel_id": "14785009"}, {"ref": "taranjeet0874/notebook52e9e5a73e", "kernel_id": "14705800"}, {"ref": "omkarhande/notebook87d64eeefb", "kernel_id": "14592746"}, {"ref": "ashitashetty03/neolenassignment", "kernel_id": "14623580"}, {"ref": "madhureshgore/neolen", "kernel_id": "14622198"}, {"ref": "vikassingh7/notebook4c023c2656", "kernel_id": "14580164"}, {"ref": "chinmayaprusty/chinmaya-ipl", "kernel_id": "14979509"}, {"ref": "pateldevarsh/ipl-2020-player-performance-devarsh-patel", "kernel_id": "14806321"}, {"ref": "arvind9044/ipl-2020new", "kernel_id": "14672731"}, {"ref": "rubykumari91/ru-ipl-2020", "kernel_id": "14743296"}, {"ref": "hiteshgulwani/performance-in-ipl", "kernel_id": "14772697"}, {"ref": "sarveshthapa/sarvesh", "kernel_id": "15064303"}, {"ref": "divyanshtiwari/notebook16c7d19644", "kernel_id": "15064926"}, {"ref": "priyanshusingh2801/32-16-best-score", "kernel_id": "15002413"}, {"ref": "smitisinghal/ipl-2020-player-performance", "kernel_id": "15002760"}, {"ref": "anugrahvaishnav/ipl-performace-prediction", "kernel_id": "15055724"}, {"ref": "karanrawat1998/ipl-2020-prediction-karan", "kernel_id": "15009611"}, {"ref": "kshitizs545/ipl-submission-kshi", "kernel_id": "15051678"}, {"ref": "vishallobhe/ipl-2020-performance-prediction", "kernel_id": "15049879"}, {"ref": "purvpatel/ipl-2020-predictions", "kernel_id": "15064427"}, {"ref": "pratikabnave/pratik-neolen", "kernel_id": "15078142"}, {"ref": "vamsikrishna500466/ipl-2020-player-performance-prediction", "kernel_id": "15009916"}, {"ref": "akshay591/a591-ipl-2020", "kernel_id": "15039767"}, {"ref": "namanjajani/notebook882d9ea22d", "kernel_id": "15031213"}, {"ref": "ujjwal55/ipl-2020", "kernel_id": "25369668"}, {"ref": "shrutykhullar/ds-ipl-prediction-shruty", "kernel_id": "25373920"}, {"ref": "pranjalsingh0102/ds-eval", "kernel_id": "25381384"}, {"ref": "ishitaaaaaaa/lab-evaluation-ds", "kernel_id": "25411723"}, {"ref": "sameer8909/sameer-101903281", "kernel_id": "25395923"}]}
{"competition_id": "25580", "kernels": [{"ref": "yuriykatser/equipment-rul-determining-using-ml-and-python", "kernel_id": "40130471"}, {"ref": "bilyalkkk/exam-rul", "kernel_id": "42247011"}, {"ref": "yanaendzyulis/equipment-rul-determining-endzyulis", "kernel_id": "42276577"}, {"ref": "shmile03/examatom", "kernel_id": "42232532"}, {"ref": "dmitrykiseloff/equipment-rul-determining-using-ml-and-python", "kernel_id": "42290366"}]}
{"competition_id": "25587", "kernels": []}
{"competition_id": "25590", "kernels": []}
{"competition_id": "25594", "kernels": []}
{"competition_id": "25595", "kernels": []}
{"competition_id": "25596", "kernels": []}
{"competition_id": "25608", "kernels": []}
{"competition_id": "25612", "kernels": []}
{"competition_id": "25613", "kernels": []}
{"competition_id": "25619", "kernels": [{"ref": "yngtodd/pytorch-dataset", "kernel_id": "14682084"}]}
{"competition_id": "25622", "kernels": []}
{"competition_id": "25625", "kernels": [{"ref": "vasudhatapriya/challenge", "kernel_id": "14983515"}, {"ref": "manasasingam/dummycode", "kernel_id": "14752328"}, {"ref": "candyflossdentist/wells-fargo-shehacks-21-lgbm-version", "kernel_id": "15008885"}, {"ref": "hemanganin/fork-of-submission-02", "kernel_id": "17577746"}, {"ref": "hemanganin/submission-02", "kernel_id": "17211132"}]}
{"competition_id": "25629", "kernels": []}
{"competition_id": "25640", "kernels": []}
{"competition_id": "25656", "kernels": [{"ref": "arinko/tutorial", "kernel_id": "14899323"}, {"ref": "arinko/cross-validation-tutorial", "kernel_id": "15153963"}, {"ref": "rin121/spinalnet", "kernel_id": "15187127"}, {"ref": "somakanazawa/ailab-getting-started", "kernel_id": "15100863"}]}
{"competition_id": "25657", "kernels": [{"ref": "phibonoci/notebook69102829a0", "kernel_id": "15338100"}]}
{"competition_id": "25667", "kernels": []}
{"competition_id": "25673", "kernels": [{"ref": "james330/ptt-nlptraining-model", "kernel_id": "19983757"}, {"ref": "raffwu/ptt-try", "kernel_id": "19979009"}]}
{"competition_id": "25677", "kernels": []}
{"competition_id": "25680", "kernels": [{"ref": "lolozor/course-pythonfords-2", "kernel_id": "15403957"}, {"ref": "savvaal/notebook3b0989b50c", "kernel_id": "15425729"}, {"ref": "ivantselukovsky/credit-default-geekbrains-2-1", "kernel_id": "15323561"}, {"ref": "alena77/python-ds", "kernel_id": "15306390"}]}
{"competition_id": "25684", "kernels": []}
{"competition_id": "25688", "kernels": [{"ref": "letitiacowell/alexandria-competition-imaterialist-fashi-305938", "kernel_id": "100745349"}]}
{"competition_id": "25690", "kernels": []}
{"competition_id": "25697", "kernels": [{"ref": "bwtest/applied-ai-assignment-1-5", "kernel_id": "14701229"}, {"ref": "bwtest/sample-code", "kernel_id": "14810439"}]}
{"competition_id": "25698", "kernels": []}
{"competition_id": "25702", "kernels": []}
{"competition_id": "25720", "kernels": []}
{"competition_id": "25722", "kernels": []}
{"competition_id": "25724", "kernels": []}
{"competition_id": "25728", "kernels": []}
{"competition_id": "25731", "kernels": []}
{"competition_id": "25737", "kernels": [{"ref": "huaiweiwang/notebookc6ff84c545", "kernel_id": "15807071"}, {"ref": "mac1hine0/machine1-hw1", "kernel_id": "16577069"}, {"ref": "chikinlau/hw1-baseline", "kernel_id": "16826058"}, {"ref": "kidnarcissus/hw1-20210624-merge-model", "kernel_id": "18002695"}, {"ref": "xioxioap/hw1-baseline", "kernel_id": "18900053"}, {"ref": "daiyuxuan/hw1-averagemodel", "kernel_id": "19540305"}, {"ref": "lemontreeyc/hw1-public-strong-baseline", "kernel_id": "19686319"}, {"ref": "aishangcenglou/ml-homework1", "kernel_id": "20343311"}, {"ref": "ddcat1991/notebook17bf82c741", "kernel_id": "22243904"}, {"ref": "eason16888/aptos2019", "kernel_id": "24493555"}, {"ref": "luorui2021/lihongyihw1", "kernel_id": "26025736"}, {"ref": "bessielee1/ml2021spring-hw1-just-for-test-rf", "kernel_id": "29911615"}, {"ref": "bessielee1/ml2021spring-homework1-gpu", "kernel_id": "29941393"}, {"ref": "m4gofriends/ml2021spring-hw1-gpu", "kernel_id": "30545842"}, {"ref": "glavianhcastelino/ml2021spring-hw1-submission", "kernel_id": "36791332"}, {"ref": "belati/ntu-ml2021spring-hw1", "kernel_id": "36095327"}, {"ref": "hanxiangli/private-strong-base-line", "kernel_id": "39811987"}, {"ref": "luison/ml2021-covid19-prediction-linear-regression", "kernel_id": "41502756"}, {"ref": "lidaban/2021-hw1", "kernel_id": "45164511"}, {"ref": "llwstu/private-strong-base-line", "kernel_id": "46735540"}, {"ref": "tunnynobi/hw1-2021", "kernel_id": "63390641"}, {"ref": "josh930908/ml2021spring-hw1", "kernel_id": "90801477"}, {"ref": "nuller123/hw1-public-strong-baseline", "kernel_id": "107526510"}, {"ref": "a44128439/ccccph", "kernel_id": "108129404"}, {"ref": "cuttlefishyi/pass-public-and-private-strong-line", "kernel_id": "115817102"}]}
{"competition_id": "25745", "kernels": [{"ref": "alassanedialdiop/readme", "kernel_id": "15951926"}, {"ref": "dijiswiki/text-classification-with-scibert", "kernel_id": "16609313"}]}
{"competition_id": "25752", "kernels": []}
{"competition_id": "25763", "kernels": []}
{"competition_id": "25766", "kernels": []}
{"competition_id": "25781", "kernels": []}
{"competition_id": "25787", "kernels": []}
{"competition_id": "25796", "kernels": [{"ref": "adsoofmelk/additional-geo-data-and-linreg", "kernel_id": "14973350"}, {"ref": "alexeykozhevnikovmm/notebook-m-a", "kernel_id": "14979565"}, {"ref": "aleksandrgusarov/california-house-price", "kernel_id": "14998071"}, {"ref": "maryamlistopad/house-price-og-gucci", "kernel_id": "14987223"}, {"ref": "alexandrsavich/lr-task", "kernel_id": "14994186"}, {"ref": "chernykhaa/notebook1109f59612-team-dga", "kernel_id": "14981200"}, {"ref": "maksimandreev/lr-task-ver-2", "kernel_id": "14998630"}, {"ref": "alexag05/house-price", "kernel_id": "14989816"}, {"ref": "daryafilippova/house-price-ida", "kernel_id": "14994104"}, {"ref": "alexeyshatokhin/notebook5af012df7e", "kernel_id": "14994782"}, {"ref": "alexeyshatokhin/notebook1-aaa", "kernel_id": "14996127"}]}
{"competition_id": "25798", "kernels": []}
{"competition_id": "25801", "kernels": [{"ref": "adsoofmelk/morh15m", "kernel_id": "15253592"}, {"ref": "mrfarbo/9-notebook", "kernel_id": "15300467"}, {"ref": "alexeykozhevnikovmm/notebook-team-m-a", "kernel_id": "15299411"}, {"ref": "maryamlistopad/og-gucci-weather", "kernel_id": "15299358"}, {"ref": "chernykhaa/notebook-team-dga", "kernel_id": "15287035"}, {"ref": "maksimandreev/hw2-12345", "kernel_id": "15300180"}, {"ref": "alexag05/rains-aus-three-graces", "kernel_id": "15306895"}, {"ref": "alexag05/rains-in-aus-three-graces", "kernel_id": "15307085"}, {"ref": "daryafilippova/ida-notebook", "kernel_id": "15300087"}, {"ref": "alexeyshatokhin/notebook-2-reshape-of-you", "kernel_id": "15309000"}, {"ref": "mohitsachdev/australia-rain-prediction", "kernel_id": "50637267"}, {"ref": "shaileshshettyd/kangaaru-is-a-bangaaru", "kernel_id": "51417863"}]}
{"competition_id": "25808", "kernels": []}
{"competition_id": "25809", "kernels": []}
{"competition_id": "25827", "kernels": []}
{"competition_id": "25828", "kernels": []}
{"competition_id": "25829", "kernels": []}
{"competition_id": "25841", "kernels": [{"ref": "joheras/env-o-ia2021", "kernel_id": "14841386"}]}
{"competition_id": "25842", "kernels": []}
{"competition_id": "25848", "kernels": []}
{"competition_id": "25852", "kernels": []}
{"competition_id": "25863", "kernels": []}
{"competition_id": "25867", "kernels": []}
{"competition_id": "25874", "kernels": []}
{"competition_id": "25875", "kernels": []}
{"competition_id": "25876", "kernels": []}
{"competition_id": "25877", "kernels": []}
{"competition_id": "25879", "kernels": [{"ref": "hamzafar/keras-mlp-training", "kernel_id": "14898902"}, {"ref": "nomanrazashah/keras-mlp-training", "kernel_id": "14899575"}, {"ref": "nomanrazashah/keras-mlp-training-final", "kernel_id": "14901842"}, {"ref": "abdurrahmanmaud/loadingdataexample", "kernel_id": "14898728"}]}
{"competition_id": "25880", "kernels": []}
{"competition_id": "25887", "kernels": [{"ref": "jeffheaton/jheaton-mc-fake-starter", "kernel_id": "15041524"}]}
{"competition_id": "25902", "kernels": [{"ref": "belkhirnacim/randomaugment", "kernel_id": "15017435"}, {"ref": "franchig/ssl-cifar", "kernel_id": "15014543"}, {"ref": "marwenbahri/ssl-cifar-75d376-124e6c", "kernel_id": "20733791"}]}
{"competition_id": "25908", "kernels": []}
{"competition_id": "25914", "kernels": [{"ref": "kyouyap/titanickyouyap", "kernel_id": "5984937"}, {"ref": "reighns/general-learning-linear-regression-from-scratch", "kernel_id": "7871139"}, {"ref": "alincijov/nlp-starter-continuous-bag-of-words-cbow", "kernel_id": "9415350"}, {"ref": "alincijov/nlp-starter-logsoftmax-nlloss-cross-entropy", "kernel_id": "9402446"}, {"ref": "konradb/linear-baseline-with-cv", "kernel_id": "16705137"}, {"ref": "konradb/diy-data-augmentation-with-gpt2", "kernel_id": "16802497"}, {"ref": "konradb/chapter11-nlp-augmentations3", "kernel_id": "16883083"}, {"ref": "abhishek/fork-of-fork-of-yum-yum-yum-93f968", "kernel_id": "16827391"}, {"ref": "abhishek/step-1-create-folds", "kernel_id": "16752954"}, {"ref": "abhishek/yum-yum-yum", "kernel_id": "16779234"}, {"ref": "jeongyoonlee/tf-keras-bert-baseline-training-inference", "kernel_id": "16706858"}, {"ref": "jeongyoonlee/all-zero-submission", "kernel_id": "16767372"}, {"ref": "jeongyoonlee/tf-keras-bart-baseline-training-inference", "kernel_id": "16840794"}, {"ref": "jeongyoonlee/pytorch-lightning-roberta-training-inference", "kernel_id": "16796730"}, {"ref": "lawrencechernin/ridge-regression-starter-with-stop-words", "kernel_id": "16704738"}, {"ref": "aninda/commonlit-fastai", "kernel_id": "16712371"}, {"ref": "crained/deberta-pytorch-commonlit-readability-train", "kernel_id": "16854497"}, {"ref": "crained/deberta-pytorch-inference", "kernel_id": "16859564"}, {"ref": "crained/fun-with-commonlit-nltk-nda", "kernel_id": "16990949"}, {"ref": "crained/fun-with-commonlit-using-scikit-learn-nda", "kernel_id": "16993667"}, {"ref": "pavelvod/catboost-text-features", "kernel_id": "16704967"}, {"ref": "pavelvod/simple-starter-baseline", "kernel_id": "16703161"}, {"ref": "pavelvod/transformer-cnn-lstm-attention-heads", "kernel_id": "16987000"}, {"ref": "tungmphung/commonlit-readability-eda", "kernel_id": "16704826"}, {"ref": "pehahn/tidymodels-nb3train", "kernel_id": "16791041"}, {"ref": "pehahn/basic-readabil", "kernel_id": "16955955"}, {"ref": "pehahn/dnn-tokenizer", "kernel_id": "16976932"}, {"ref": "pehahn/r-submission-1", "kernel_id": "16724893"}, {"ref": "aristotelisch/basic-text-processing-lda-roberta-transformer", "kernel_id": "16785266"}, {"ref": "praveengovi/commonlit-bert-roberta-model-explainablity", "kernel_id": "16849178"}, {"ref": "praveengovi/commonlitreadabilityprize-all-in-one-eda", "kernel_id": "16703866"}, {"ref": "evilmage93/common-lit-bilstm-based-regression", "kernel_id": "16977488"}, {"ref": "indranilbhattacharya/eda-feature-engineering", "kernel_id": "16741288"}, {"ref": "geoffcc/notebook935a1345d7", "kernel_id": "16870656"}, {"ref": "zfatgxu/notebook214aa91702", "kernel_id": "16938690"}, {"ref": "afufiza/commonlit-analysis", "kernel_id": "16848358"}, {"ref": "mzntaka0/simple-vectorization-using-doc2vec", "kernel_id": "16808944"}, {"ref": "ankur310794/crp-mix-6-models-inference", "kernel_id": "16834937"}, {"ref": "simakov/lama-bert-inference", "kernel_id": "16723959"}, {"ref": "simakov/lama-bert-starter", "kernel_id": "16717680"}, {"ref": "safavieh/basic-word-based-model", "kernel_id": "16703260"}, {"ref": "lautenschlager/readability-baseline-using-simple-stats", "kernel_id": "16713760"}, {"ref": "solverworld/how-big-are-you-test-set", "kernel_id": "16920242"}, {"ref": "abee82/commonlit-readability-using-fastai-v2", "kernel_id": "16767264"}, {"ref": "barun2104/commonlit-readability-eda-svd-modeling", "kernel_id": "16774213"}, {"ref": "abhilashreddyy/a-deeper-eda-on-pos-tags-topic-modelling-more", "kernel_id": "16932977"}, {"ref": "jollibobert/commonlit-simple-se-and-excerpt-length-eda", "kernel_id": "16935362"}, {"ref": "jollibobert/commonlit-readability-roberta-xgb-baseline", "kernel_id": "16946227"}, {"ref": "srijita97/basic-feature", "kernel_id": "16801709"}, {"ref": "srijita97/eda-work", "kernel_id": "16766821"}, {"ref": "nabanitaroy/commonlit-challenge", "kernel_id": "16756297"}, {"ref": "ajain3982/universal-sentence-encoder-nn-using-keras", "kernel_id": "16757592"}, {"ref": "ajain3982/commonlit-readability-skipgrams-linearreg", "kernel_id": "16717435"}, {"ref": "yeayates21/commonlit-tf-gpu-xlm-roberta-ssl", "kernel_id": "16790555"}, {"ref": "yeayates21/train-commonlit-xgb-baseline-advanced-features", "kernel_id": "16792357"}, {"ref": "yeayates21/commonlit-random-forest-na-ve-baseline", "kernel_id": "16704739"}, {"ref": "yeayates21/commonlit-text-augmentation-eng-to-fre-to-eng", "kernel_id": "16733380"}, {"ref": "shams1/explor", "kernel_id": "16752966"}, {"ref": "shams1/prize", "kernel_id": "16716848"}, {"ref": "ayushggarg/commonlit-readability-prize-eda-and-baseline", "kernel_id": "16703864"}, {"ref": "hamasho/normalizing-and-wordcloud", "kernel_id": "16706011"}, {"ref": "rybalkin/basic-readability-metrics", "kernel_id": "16763577"}, {"ref": "infernape/textstat-linearregression", "kernel_id": "16776432"}, {"ref": "narendra/basic-eda-tabular-baseline-pytorch-nn", "kernel_id": "16845676"}, {"ref": "bootiu/commonlit-pytorch-lightning-bert-benchmark", "kernel_id": "16823951"}, {"ref": "anubhav1302/readability-eda", "kernel_id": "16711879"}, {"ref": "anubhav1302/simplemodel-tf", "kernel_id": "16772364"}, {"ref": "msafi04/commonlit-readability-bert-baseline-tf", "kernel_id": "16713941"}, {"ref": "msafi04/tensorflow-roberta-commonlit-readability", "kernel_id": "16869937"}, {"ref": "abhibisht89/using-textstat-eda-and-readability-scores", "kernel_id": "16776114"}, {"ref": "shahules/commonlit-roberta-xgb-ensemble", "kernel_id": "16830112"}, {"ref": "cascadinglight/commonlit-dimensionality-reduction-and-eda", "kernel_id": "16850880"}, {"ref": "snnclsr/commonlit-pytorch-distilbert-training", "kernel_id": "16704546"}, {"ref": "snnclsr/commonlit-fastai-inference", "kernel_id": "16724110"}, {"ref": "snnclsr/deadly-simple-baseline", "kernel_id": "16743675"}, {"ref": "snnclsr/commonlit-pytorch-distilbert-inference", "kernel_id": "16708692"}, {"ref": "snnclsr/commonlit-fastai-training-with-language-model", "kernel_id": "16723168"}, {"ref": "yujikawa/commonlit-readability-prize-eda", "kernel_id": "16749087"}, {"ref": "shaz13/commonlit-basic-feature-engineering-on-raw-text", "kernel_id": "16755156"}, {"ref": "dimitreoliveira/commonlit-readability-eda-roberta-tf-baseline", "kernel_id": "16708236"}, {"ref": "hengzheng/simpletransformers-regression-starter-less-code", "kernel_id": "16748633"}, {"ref": "virksaab/data-augmentation-and-correlation", "kernel_id": "16929459"}, {"ref": "samratsengupta/commonlit-readability-prize-roberta-ridge-ensemble", "kernel_id": "16823351"}, {"ref": "tanmay17061/feature-eda", "kernel_id": "16704803"}, {"ref": "ragnar123/commonlit-readability-roberta-tf", "kernel_id": "16860174"}, {"ref": "ragnar123/commonlit-readability-roberta-tf-inference", "kernel_id": "16860318"}, {"ref": "getitdone/simple-approach", "kernel_id": "16947600"}, {"ref": "gustavomodelli/readability-lasso-regression", "kernel_id": "16763255"}, {"ref": "gustavomodelli/readability-keras-model", "kernel_id": "16764357"}, {"ref": "docxian/commonlit-first-glance", "kernel_id": "16704353"}, {"ref": "ulrich07/ridge-regression-starter", "kernel_id": "16703875"}, {"ref": "rohitpande/feature-engg-with-basic-linear-regression", "kernel_id": "16961822"}, {"ref": "vdefont/dummy", "kernel_id": "16979488"}, {"ref": "kneroma/clr-prize-roberta-model-inference", "kernel_id": "16708510"}, {"ref": "kneroma/clr-prize-roberta-model-training", "kernel_id": "16773196"}, {"ref": "deb009/commonlit-readability-prize-eda", "kernel_id": "16825636"}, {"ref": "trantrikien239/preprocessing-and-svr-baseline", "kernel_id": "16967666"}, {"ref": "gokhankesler/best-i-can-do-with-sklearn", "kernel_id": "16871666"}, {"ref": "jiny333/creating-whl-files-to-install-external-libraries", "kernel_id": "16769828"}, {"ref": "jiny333/simple-baseline-using-pycaret-training-inference", "kernel_id": "16716984"}, {"ref": "nrottam/commonlit-readability-prize", "kernel_id": "16703974"}, {"ref": "prvnkmr/tf-bert-baseline-lb-0-646-training", "kernel_id": "16995286"}, {"ref": "prvnkmr/domain-knowledge-readability-score-methods", "kernel_id": "16992342"}, {"ref": "leighplt/transformers-cv-train-inference-pytorch", "kernel_id": "16716661"}, {"ref": "leighplt/simple-recurrent-model-pytorch", "kernel_id": "16703316"}, {"ref": "aruthart/transformers-fastai-quick-starter", "kernel_id": "16727637"}, {"ref": "aruthart/transformers-fastai-starter-submission", "kernel_id": "16784485"}, {"ref": "hamditarek/commonlit-readability-prize-lsa-lda-nn-baseline", "kernel_id": "16704208"}, {"ref": "harshitkhandelwal/commonlit-eda-literature-submission", "kernel_id": "16718154"}, {"ref": "niduttnb/commonlit-readability", "kernel_id": "16984230"}, {"ref": "atharvap329/torchflare-easy-model-training-bert-baseline", "kernel_id": "16939353"}, {"ref": "sharrpie/commonlit-readability-eda-fe-topic-modelling", "kernel_id": "16806412"}, {"ref": "teeyee314/readability-url-scrape", "kernel_id": "16961893"}, {"ref": "teeyee314/readability-external-data-eda", "kernel_id": "16981902"}, {"ref": "rahatreza/simple-randomforest-pipeline", "kernel_id": "16824530"}, {"ref": "abhishekvermasg1/eda-what-do-we-teach-our-successors-v3", "kernel_id": "16712916"}, {"ref": "ayuraj/how-to-use-tf-data-to-train-hf-transformer", "kernel_id": "16891217"}, {"ref": "pawan2905/commonlit-readability-prize", "kernel_id": "16967990"}, {"ref": "manabendrarout/eda-bow-classical-model-with-autokeras-ensemble", "kernel_id": "16800681"}, {"ref": "drdevasiakurian/simple-commonlitreadability-for-beginners", "kernel_id": "16785822"}, {"ref": "houssemayed/exploratory-data-analysis", "kernel_id": "16755574"}, {"ref": "houssemayed/lstm-models-for-regression-on-text-data", "kernel_id": "16800669"}, {"ref": "subinium/how-to-visualize-text-dataset", "kernel_id": "16906701"}, {"ref": "gunesevitan/commonlit-readability-prize-eda", "kernel_id": "16747078"}, {"ref": "abdokamr/starter-eda-baseline-ridge-and-xgboost", "kernel_id": "16741417"}, {"ref": "hiroshihiroshi/low-freq-low-target-and-texteda-with-r", "kernel_id": "16809166"}, {"ref": "vaibhavsxn/bert-fine-tuning-sentence-scoring", "kernel_id": "16755932"}, {"ref": "maunish/clrp-pytorch-train-tpu", "kernel_id": "16811762"}, {"ref": "maunish/clrp-roberta-svm", "kernel_id": "16882543"}, {"ref": "hannes82/commonlit-readability-roberta-simple-baseline", "kernel_id": "16702131"}, {"ref": "hannes82/commonlit-readability-roberta-inference", "kernel_id": "16704075"}, {"ref": "sourabh219/roberta-baseline-model", "kernel_id": "16937720"}, {"ref": "mpwolke/uncommon-literature", "kernel_id": "16707936"}, {"ref": "wanko123/exploring-features-and-model-building", "kernel_id": "16824458"}, {"ref": "udbhavpangotra/commonlit-readibility-prize-extensive-eda-model", "kernel_id": "16785196"}, {"ref": "jitshil143/submission-score-0-62", "kernel_id": "16724768"}, {"ref": "mdfahimreshm/bert-in-depth-understanding", "kernel_id": "16777228"}, {"ref": "gogo827jz/roberta-model-parallel-fold-training-on-tpu", "kernel_id": "16782081"}, {"ref": "takusid/popular-readability-formulas-and-metrics", "kernel_id": "16990254"}, {"ref": "ruchi798/commonlit-readability-prize-eda-baseline", "kernel_id": "16701658"}, {"ref": "muhammad4hmed/commonlit-hierarchical-attention-networks", "kernel_id": "16826927"}, {"ref": "faressayah/transfer-learning-for-natural-language-processing", "kernel_id": "16597633"}, {"ref": "heyytanay/commonlit-eda-understanding-the-competition", "kernel_id": "16701635"}, {"ref": "heyytanay/auto-keras-text-regression-starter", "kernel_id": "16703282"}, {"ref": "heyytanay/submission-pytorch-bert-kfolds-inference", "kernel_id": "16714442"}, {"ref": "heyytanay/training-kfolds-pytorch-bert-large-w-o-oom", "kernel_id": "16711855"}, {"ref": "harshsharma511/pytorch-lightining-roberta", "kernel_id": "16900453"}, {"ref": "harshsharma511/one-stop-understanding-eda-bert-baseline", "kernel_id": "16765442"}, {"ref": "konumaru/baseline-with-linear-regression", "kernel_id": "16916587"}, {"ref": "shivanandmn/bert-pytorch-commonlit-readability-simple", "kernel_id": "16707504"}, {"ref": "hamzaghanmi/crp-eda-preprocessing-lightgbm", "kernel_id": "16707020"}, {"ref": "andreshg/commonlit-a-complete-analysis", "kernel_id": "16897787"}, {"ref": "prajittr/commonlit-dnn-randomforest-linear-regression", "kernel_id": "16767185"}, {"ref": "andradaolteanu/i-commonlit-explore-xgbrf-repeatedfold-model", "kernel_id": "16726323"}, {"ref": "yuto16/grammar-spell-checker", "kernel_id": "16810135"}, {"ref": "yuto16/target-standard-error", "kernel_id": "16758436"}, {"ref": "louise2001/nltk-commonlit-starter-notebook", "kernel_id": "16703570"}, {"ref": "louise2001/rapids-sentenceembeddings-for-regression", "kernel_id": "16704293"}, {"ref": "dpaluszk/commonlit-cannot-submit-submission-csv-not-found", "kernel_id": "16729307"}, {"ref": "gsabbih/news-categorisation", "kernel_id": "16253193"}, {"ref": "tchaye59/clreadability-tf-bert-baseline", "kernel_id": "16758071"}, {"ref": "tchaye59/download-tensorflow-text-tf-models-official", "kernel_id": "16746260"}, {"ref": "tchaye59/tfhub-berts-download", "kernel_id": "16747216"}, {"ref": "zefirchik/start-bert-models", "kernel_id": "16856664"}, {"ref": "sumeetsawant/commonlit-readability-ridge-baseline-0-7", "kernel_id": "16894953"}, {"ref": "ochaaaaaaan/commonlit-doc2vec-lightgbm", "kernel_id": "16952172"}, {"ref": "abhibasavapattana/tensorflow-glove6b-lit-readability", "kernel_id": "16762359"}, {"ref": "anandsm7/commonlit-roberta-training-inference", "kernel_id": "16724308"}, {"ref": "rushinaik/base-model", "kernel_id": "16709830"}, {"ref": "rushinaik/bigwords", "kernel_id": "16982512"}, {"ref": "xinruizhan/pretrained-bert-nn", "kernel_id": "16927682"}, {"ref": "chumajin/how-to-initialize-the-code-correctly-english", "kernel_id": "16935823"}, {"ref": "chumajin/pytorch-bert-beginner-s-room-version", "kernel_id": "16868748"}, {"ref": "chumajin/inference-for-pytorch-bert-beginner-s-room", "kernel_id": "16881616"}, {"ref": "chumajin/pytorch-bert-beginner-s-room", "kernel_id": "16876642"}, {"ref": "maksymshkliarevskyi/commlit-readability-start-with-r-eda-nlp-lstm", "kernel_id": "16813960"}, {"ref": "vislupus/nlp-commonlit-readability", "kernel_id": "16748739"}, {"ref": "bharadwajvedula/lb-0-683-tf-glove840b", "kernel_id": "16881143"}, {"ref": "magdawjcicka/commonlit-readability-data-exploration-nn", "kernel_id": "16913180"}, {"ref": "anaverageengineer/comlrp-baseline-for-complete-beginners", "kernel_id": "16705167"}, {"ref": "yasserhessein/commonlit-eda-gru-glove-840b-300d", "kernel_id": "16804950"}, {"ref": "sauravmaheshkar/commonlit-tensorflow-weights-biases", "kernel_id": "16867002"}, {"ref": "artemglazunov1990/roberta-save", "kernel_id": "16780932"}, {"ref": "pranav082001/commonlit-pytorch-bert-starter", "kernel_id": "16990975"}, {"ref": "pranav082001/commonlit-simple-ensemble-models-ml", "kernel_id": "16834232"}, {"ref": "nicolasalerno/smote-classifiers-dt-rf-xgb-stacking-ensemble", "kernel_id": "16720080"}, {"ref": "datafan07/eda-simple-bayesian-ridge-with-sentence-embeddings", "kernel_id": "16764101"}, {"ref": "thomaskonstantin/commonlit-feature-engineering-age-range-bert", "kernel_id": "16892082"}, {"ref": "thomaskonstantin/commonlit-text-analysis-baseline-modeling", "kernel_id": "16798675"}, {"ref": "josephassaker/commonlit-readability-eda-na-ve-submission", "kernel_id": "16705061"}, {"ref": "kshitijmohan/commonlit-readability-bert-train-inference", "kernel_id": "16743478"}, {"ref": "manishkc06/text-pre-processing-data-wrangling", "kernel_id": "16726083"}, {"ref": "aishwarya2490/commonlit-readability-prize-eda-cleaning-data", "kernel_id": "16010623"}, {"ref": "debarshichanda/pytorch-commonlit-readability-bert-baseline", "kernel_id": "16707379"}, {"ref": "debarshichanda/explore-t5", "kernel_id": "16791397"}, {"ref": "rxyfng/readabilitycontest", "kernel_id": "16841873"}, {"ref": "sourabhy/common-lit-cnn-model", "kernel_id": "16797995"}, {"ref": "sourabhy/commonlit-roberta-cnn", "kernel_id": "16956815"}, {"ref": "ravillatejakumar/fast-ml", "kernel_id": "16858133"}, {"ref": "shreyasajal/pytorch-openai-gpt2-commonlit-readability", "kernel_id": "16946814"}, {"ref": "shreyasajal/pytorch-bert-baseline-lr-schedulers-guide", "kernel_id": "16896181"}, {"ref": "hantianluo/huggingface-autonlp", "kernel_id": "16907462"}, {"ref": "jinhangjiang/commonlit-readability-sbert-dl-jiang", "kernel_id": "16713591"}, {"ref": "utcarshagrawal/commonlit-eda-most-nlp-techniques", "kernel_id": "16764463"}, {"ref": "threesheds/simple-bow-baseline", "kernel_id": "16957489"}, {"ref": "rushikeshdarge/commonlit-using-neural-network", "kernel_id": "16944930"}, {"ref": "rushikeshdarge/easiest-approach-with-good-rmse", "kernel_id": "16944193"}, {"ref": "darknesszx/roberta-simple-roberta-large-baseline", "kernel_id": "16854346"}, {"ref": "vivekprajapati2048/a-complete-commonlit-readability-prize-nb", "kernel_id": "16762894"}, {"ref": "raghavjha858/bert-nlp-eda", "kernel_id": "16832786"}, {"ref": "kritanjalijain/commonlit-eda-and-lstm", "kernel_id": "16757125"}, {"ref": "mghfarahani/commonlit-readability-prize-analysis-prediction", "kernel_id": "16933246"}, {"ref": "alaasedeeq/commonlit-readability-eda", "kernel_id": "16708691"}, {"ref": "riteshpatil8998/commonlit-readability-cross-validation", "kernel_id": "16755098"}, {"ref": "dearsijie/commonlit-readability-tf-lstm-tune-hyperparameters", "kernel_id": "16724936"}, {"ref": "ekaterinadranitsyna/text-readability-score", "kernel_id": "16986731"}, {"ref": "davidjlochner/commonlit-elastic-net", "kernel_id": "16894778"}, {"ref": "haiyunhu/commonlitreadabilityprize-train", "kernel_id": "16744793"}, {"ref": "yoshitakayoshimura/yy-notebook", "kernel_id": "16973026"}, {"ref": "hayahiko/ridge-10folds-step-by-step", "kernel_id": "16704458"}, {"ref": "ash112/commonlit-readability-gbr", "kernel_id": "16951713"}, {"ref": "ammarnassanalhajali/commonlit-readability-eda", "kernel_id": "16802718"}, {"ref": "ttjccc/gaussian-multi-target-regularization", "kernel_id": "16994860"}, {"ref": "gaetanlopez/pytorch-roberta-inference", "kernel_id": "16729367"}, {"ref": "raoumair98/bogog", "kernel_id": "16836271"}, {"ref": "ravishah1/readability-feature-engineering-non-nn-baseline", "kernel_id": "16729750"}, {"ref": "amontgomerie/baseline-with-features-from-textstat-and-spacy", "kernel_id": "16875010"}, {"ref": "leontrout/useful", "kernel_id": "16767641"}, {"ref": "alvarofbudria/commonlit-readability", "kernel_id": "16721677"}, {"ref": "kazu02/commonlitreadabilityprize-model1", "kernel_id": "16795797"}, {"ref": "tobiasgabrielkroll/readability", "kernel_id": "16745340"}, {"ref": "semyonkoshkarov/tf-idf-linearsvr-baseline", "kernel_id": "16721695"}, {"ref": "shatakshiraman/commnlit-eda", "kernel_id": "16720243"}, {"ref": "roguecomputer/commonlit-readability-eda-plotly-word-cloud", "kernel_id": "16720990"}, {"ref": "hiroyanakamura/notebook085d9d0f67", "kernel_id": "16708682"}, {"ref": "solorzano/comparison-of-huggingface-text-model-features", "kernel_id": "17252895"}, {"ref": "solorzano/clrp-roberta-ridge", "kernel_id": "17477023"}, {"ref": "konradb/linear-av", "kernel_id": "17455608"}, {"ref": "sumantindurkhya/commonlit-baseline-tf-idf", "kernel_id": "17137710"}, {"ref": "sumantindurkhya/bert-for-regression", "kernel_id": "17124727"}, {"ref": "sumantindurkhya/commonlit-lstm-with-attention", "kernel_id": "17160374"}, {"ref": "sumantindurkhya/commonlit-baseline-doc2vec", "kernel_id": "17161681"}, {"ref": "akabaev/baseline-tf-distilbert", "kernel_id": "17984903"}, {"ref": "johnhawkins/texturizer-lightgbm", "kernel_id": "17319877"}, {"ref": "gilfernandes/commonlit-pytorch-distilbart-svm", "kernel_id": "17461766"}, {"ref": "aidenkim/commonlit-fastai-baseline", "kernel_id": "17995716"}, {"ref": "yassinealouini/how-to-huggingface", "kernel_id": "17101180"}, {"ref": "crained/prep-data-with-keras-for-commonlit", "kernel_id": "17013032"}, {"ref": "pavelvod/transformer-cnn-lstm-attention-head-inference", "kernel_id": "17019273"}, {"ref": "grafael/beyond-the-excerpt", "kernel_id": "17387319"}, {"ref": "shrutisaxena/commonlit-using-h2o-flow", "kernel_id": "17167596"}, {"ref": "jamesmcguigan/commonlit-xgbooost", "kernel_id": "17638762"}, {"ref": "tomwarrens/commonlit-readability-prize-eda", "kernel_id": "17037429"}, {"ref": "pehahn/textfeatures-in-r", "kernel_id": "17121316"}, {"ref": "pehahn/basic-bert-with-r", "kernel_id": "17379997"}, {"ref": "evilmage93/commonlit-bert-tuned-svr", "kernel_id": "17312398"}, {"ref": "indranilbhattacharya/tsne-of-bert-embeddings-3d-plots", "kernel_id": "17104432"}, {"ref": "anjum48/commonlit-submission", "kernel_id": "17498222"}, {"ref": "vigneshbaskaran/commonlit-derive-more-features-from-transformer", "kernel_id": "17247285"}, {"ref": "vigneshbaskaran/commonlit-pt-vs-tf", "kernel_id": "17463054"}, {"ref": "vigneshbaskaran/commonlit-a1-pure-scikit-learn", "kernel_id": "17006024"}, {"ref": "vigneshbaskaran/commonlit-spacy-with-ridge-regression", "kernel_id": "17081182"}, {"ref": "vigneshbaskaran/commonlit-pytorch-vs-sklearn-regression", "kernel_id": "17098073"}, {"ref": "vigneshbaskaran/commonlit-sentencetransformer-sklearn-regression", "kernel_id": "17219552"}, {"ref": "vigneshbaskaran/commonlit-text-comparator-rmse-vs-ranking-loss", "kernel_id": "17125613"}, {"ref": "vigneshbaskaran/imdb-simple-bert-finetuner", "kernel_id": "17549429"}, {"ref": "vigneshbaskaran/commonlit-easy-finetuner-inference", "kernel_id": "17638004"}, {"ref": "vigneshbaskaran/commonlit-easy-transformer-finetuner", "kernel_id": "17638670"}, {"ref": "vigneshbaskaran/commonlit-why-my-transformer-is-not-good-enough", "kernel_id": "17658624"}, {"ref": "vigneshbaskaran/commonlit-halftime-recap-of-my-transformer-journey", "kernel_id": "17809316"}, {"ref": "vigneshbaskaran/commonlit-inference-is-my-transformer-good", "kernel_id": "17776146"}, {"ref": "vigneshbaskaran/commonlit-making-my-transformer-good-enough", "kernel_id": "17778889"}, {"ref": "dsquareindia/sbert-lstm", "kernel_id": "17333698"}, {"ref": "dsquareindia/roberta-svm-pytorch-lightning", "kernel_id": "17745549"}, {"ref": "dsquareindia/commonlit-simple-pytorch-lightning", "kernel_id": "17507678"}, {"ref": "kirichenko17roman/dl-lab-15-feature-engineering-in-nlp", "kernel_id": "17744576"}, {"ref": "kirichenko17roman/dl-lab-14-sequence-classification-regression", "kernel_id": "17644612"}, {"ref": "kirichenko17roman/dl-lab-17-lstm-for-nlp", "kernel_id": "17784753"}, {"ref": "kirichenko17roman/hanet-regression", "kernel_id": "17797379"}, {"ref": "takoihiraokazu/ex015-lgb", "kernel_id": "17244105"}, {"ref": "takoihiraokazu/ex040-svr", "kernel_id": "17322000"}, {"ref": "takoihiraokazu/fe001-step-1-create-folds", "kernel_id": "17218847"}, {"ref": "takoihiraokazu/ex014-roberta", "kernel_id": "17240879"}, {"ref": "rsesha/commonlit-keras-nnlm-tfhub", "kernel_id": "17475367"}, {"ref": "tusonggao/clrp-pytorch-roberta-base-my-first-model-train", "kernel_id": "17932965"}, {"ref": "tusonggao/clrp-pytorch-roberta-base-my-first-model-inference", "kernel_id": "17956445"}, {"ref": "tusonggao/clrp-roberta-base-my-first-model-5fold-cv", "kernel_id": "17980580"}, {"ref": "lautenschlager/glove-preprocessing-feel-free-to-use", "kernel_id": "17125725"}, {"ref": "smsrikanthreddy/commonlit-non-transformers-models", "kernel_id": "17321207"}, {"ref": "smsrikanthreddy/commonlit-eda-ml-baseline", "kernel_id": "17315489"}, {"ref": "evansimpson/eda-for-commonlit-reading-prize", "kernel_id": "17697193"}, {"ref": "abhilashreddyy/inference-transformer-model-using-hugging-face", "kernel_id": "17031461"}, {"ref": "abhilashreddyy/0-6-rmse-finetuning-transformer-for-dummies", "kernel_id": "17013407"}, {"ref": "annbogdanova/readability-feature-engineering", "kernel_id": "17654467"}, {"ref": "lhagiimn/clrp-ensemble-public-notebooks", "kernel_id": "17581412"}, {"ref": "kunalman/clrc-eda-v0-1", "kernel_id": "17016897"}, {"ref": "socathie/basic-centroid-w-fasttext", "kernel_id": "17754235"}, {"ref": "bryanb/first-approach-using-xgboost-with-hyperopt", "kernel_id": "17465130"}, {"ref": "shivarama/inferencebert", "kernel_id": "17735114"}, {"ref": "shivarama/samplebert", "kernel_id": "17705928"}, {"ref": "ejmejm/commonlit-bert-submission-video-tutorial", "kernel_id": "17342501"}, {"ref": "ejmejm/commonlit-eda-video-tutorial", "kernel_id": "17341345"}, {"ref": "yuichihiguchi/commonlit-readability-prize-eda", "kernel_id": "17713152"}, {"ref": "narendra/commonlit-gru-tabular-submision", "kernel_id": "17258691"}, {"ref": "narendra/commonlit-masking-word-submission", "kernel_id": "17128832"}, {"ref": "narendra/commonlit-glove-gru-submission", "kernel_id": "17182943"}, {"ref": "narendra/commonlit-glove-gru", "kernel_id": "17175001"}, {"ref": "narendra/commonlit-mask-rare-word-model-glove-submission", "kernel_id": "17164839"}, {"ref": "narendra/commonlit-word-proportion-lda-baseline", "kernel_id": "17079006"}, {"ref": "vikasvikkyd/commonlit", "kernel_id": "17041543"}, {"ref": "shahules/guide-pytorch-data-samplers-sequence-bucketing", "kernel_id": "17976097"}, {"ref": "qinhui1999/training-tf-roberta-large-on-mlm", "kernel_id": "17487946"}, {"ref": "rerere/commonlit-readability-prize-lstm-approach-tf-idf", "kernel_id": "17271132"}, {"ref": "rerere/commonlit-readability-prize-tf-idf-svm", "kernel_id": "17244868"}, {"ref": "rerere/commonlit-readability-prize-roberta-approach", "kernel_id": "17587328"}, {"ref": "willrice/commonlit-bert-stratified-k-fold-baseline-train", "kernel_id": "17408052"}, {"ref": "nullpo20170707/word2vec-lightgbm", "kernel_id": "17872545"}, {"ref": "shaz13/augment-at-word-level-and-help-your-nlp-model", "kernel_id": "17086662"}, {"ref": "shaz13/using-commonlit-augmented-data-set", "kernel_id": "17096433"}, {"ref": "shaz13/code-how-bradley-terry-model-works", "kernel_id": "17145656"}, {"ref": "sapal6/common-lit-training", "kernel_id": "17273306"}, {"ref": "sapal6/commonlit-dataaug", "kernel_id": "17883080"}, {"ref": "donkeys/pip-install-package-from-dataset-no-internet", "kernel_id": "17482722"}, {"ref": "craving1030/caret-and-simple-text-fe-of-commonlit-readability", "kernel_id": "17157435"}, {"ref": "getitdone/commonlit-word-to-vec-with-umap", "kernel_id": "17357120"}, {"ref": "getitdone/beginners-friendly-notebook", "kernel_id": "17140168"}, {"ref": "nageen94/commonlit-stacking-regressors", "kernel_id": "17976651"}, {"ref": "rhtsingh/on-stability-of-few-sample-transformer-fine-tuning", "kernel_id": "17565100"}, {"ref": "rhtsingh/utilizing-transformer-representations-efficiently", "kernel_id": "17873764"}, {"ref": "rhtsingh/speeding-up-transformer-w-optimization-strategies", "kernel_id": "17332743"}, {"ref": "rhtsingh/commonlit-readability-prize-roberta-torch-infer-3", "kernel_id": "17289679"}, {"ref": "rhtsingh/commonlit-readability-prize-roberta-torch-infer-2", "kernel_id": "17167790"}, {"ref": "rhtsingh/two-roberta-s-are-better-than-one-0-469", "kernel_id": "17221122"}, {"ref": "rhtsingh/commonlit-readability-prize-roberta-torch-fit", "kernel_id": "17133119"}, {"ref": "rhtsingh/commonlit-readability-prize-roberta-torch-itpt", "kernel_id": "17133150"}, {"ref": "rhtsingh/guide-to-huggingface-schedulers-differential-lrs", "kernel_id": "17143996"}, {"ref": "rhtsingh/commonlit-readability-prize-roberta-torch-infer", "kernel_id": "17052686"}, {"ref": "kumarsrikant/commonlit-readability-nlp-guide-for-beginners", "kernel_id": "17934254"}, {"ref": "thedrcat/commonlit-what-are-we-reading-about", "kernel_id": "17084817"}, {"ref": "thedrcat/commonlit-2-computer-vision-approach-really", "kernel_id": "17389521"}, {"ref": "thedrcat/commonlit-train-average-baseline", "kernel_id": "17437455"}, {"ref": "thedrcat/commonlit-3-computer-vision-inference", "kernel_id": "17437794"}, {"ref": "thedrcat/commonlit-1-generate-pictures-really", "kernel_id": "17341549"}, {"ref": "thedrcat/commonlit-hf-trainer-hyperparameter-tuning", "kernel_id": "17573128"}, {"ref": "thedrcat/commonlit-25-distilbert-models", "kernel_id": "17617150"}, {"ref": "thedrcat/commonlit-hf-minimalistic-example", "kernel_id": "17539006"}, {"ref": "thedrcat/commonlit-readability-feature-importances", "kernel_id": "17656832"}, {"ref": "duttadebadri/eda-basline-modeling-commonlit-passages", "kernel_id": "17129808"}, {"ref": "shivamanhar/nltk-data-extraction-29062021", "kernel_id": "17930687"}, {"ref": "wecdecqw/commonlith-bert", "kernel_id": "17630244"}, {"ref": "shashwatwork/commonlit-the-topic-modelling-approach-with-py", "kernel_id": "17199319"}, {"ref": "osblouf/external-data-for-model-pretraining", "kernel_id": "17876259"}, {"ref": "jnegrini/commonlit-readability-nlp-eda-and-initial-model", "kernel_id": "17065552"}, {"ref": "takamichitoda/commonlit-classical-methods-for-text-readability", "kernel_id": "17541488"}, {"ref": "takamichitoda/commonlit-probing", "kernel_id": "17903498"}, {"ref": "simoneazeglio/word2vec-umap-w2vaugmentation", "kernel_id": "17045357"}, {"ref": "mikelovesrobots/substantial-book-club-readability-prize", "kernel_id": "17362014"}, {"ref": "deb009/commonlit-readability-prize-using-bert", "kernel_id": "17117719"}, {"ref": "shloksah/roberta-embedding-bayesian-ridge-using-tf", "kernel_id": "17424452"}, {"ref": "prvnkmr/tf-bert-baseline-lb-0-646-inference", "kernel_id": "17016755"}, {"ref": "sergioli212/clrp-pytorch-train-clean", "kernel_id": "17136624"}, {"ref": "sergioli212/tutorial-text-processing-using-python-and-nltk", "kernel_id": "17888681"}, {"ref": "sergioli212/clrp-try-allennlp-api-for-plm", "kernel_id": "17489751"}, {"ref": "kanbehmw/pytorch-weebit-dataset-fine-tuning-train-kfold", "kernel_id": "17465360"}, {"ref": "revathiprakash/commonlit-readability-eda-kit-wip", "kernel_id": "17129647"}, {"ref": "lars123/neural-tangent-kernel-2", "kernel_id": "17033942"}, {"ref": "lars123/neural-tangent-kernel", "kernel_id": "17017758"}, {"ref": "alphadraco/commonlit-readability-prize-roberta-torch-itpt", "kernel_id": "17586923"}, {"ref": "jcesquiveld/roberta-large-5-fold-single-model-meanpooling", "kernel_id": "17705703"}, {"ref": "sharrpie/commonlit-readability-baseline", "kernel_id": "17383299"}, {"ref": "fabriciotorquato/commonlit-readability-prize", "kernel_id": "17310633"}, {"ref": "duboisian/first-draft-model", "kernel_id": "17042891"}, {"ref": "tarandeep97/performance-comparison-of-regression-models", "kernel_id": "17661949"}, {"ref": "vijendersingh412/classification-with-tensorflow-and-use-large", "kernel_id": "17266319"}, {"ref": "vijendersingh412/hugging-face-model-roberta-large-with-svm", "kernel_id": "17656111"}, {"ref": "tealgreen0503/the-simplest-stratifiedkfold-for-regression", "kernel_id": "17008406"}, {"ref": "coldog/notebook4submit", "kernel_id": "17440910"}, {"ref": "w1023672708/tfidf-xgboost", "kernel_id": "17861806"}, {"ref": "w1023672708/fine-tuning-bert-using-transformers", "kernel_id": "17923059"}, {"ref": "ashutoshiitg/clrp-roberta-train", "kernel_id": "17104603"}, {"ref": "ankitp013/exploratory-data-analysis-lstm-gru", "kernel_id": "17354015"}, {"ref": "mobassir/readability-tensorflow-roberta-training-baseline", "kernel_id": "17577954"}, {"ref": "mobassir/commonlit-readability-tensorflow-torch-ensemble", "kernel_id": "17751472"}, {"ref": "eneszvo/bert-roberta-distilbert-ensemble-5-fold-cv", "kernel_id": "17276715"}, {"ref": "raymishra/commonlit-building-from-the-base", "kernel_id": "17506647"}, {"ref": "ktgiahieu/bert-base-readability", "kernel_id": "17749650"}, {"ref": "shinomoriaoshi/readability-data-augmentation", "kernel_id": "17066763"}, {"ref": "shinomoriaoshi/readability-roberta-large-oof", "kernel_id": "17327844"}, {"ref": "shinomoriaoshi/readability-roberta-large-inference", "kernel_id": "17371717"}, {"ref": "krishnagk/notebookcommonlitlinearregression", "kernel_id": "17576883"}, {"ref": "dagnelies/kiss-roberta", "kernel_id": "17216777"}, {"ref": "javi23ruiz/sbert-feature-engineering", "kernel_id": "17372681"}, {"ref": "kumapo/bert-baseline-training-validation", "kernel_id": "17006435"}, {"ref": "stpeteishii/commonlit-readability-keras-conv1d", "kernel_id": "17362784"}, {"ref": "stpeteishii/commonlit-readability-keras-bidirectional", "kernel_id": "17365465"}, {"ref": "stpeteishii/commonlit-readability-bert-xgboost", "kernel_id": "17321278"}, {"ref": "garuna1234/notebooka455286c9a", "kernel_id": "17136669"}, {"ref": "matthewfranglen/kaggle-workshop-script", "kernel_id": "17191284"}, {"ref": "salikhussaini49/text-difficulty-prediction", "kernel_id": "17616796"}, {"ref": "muhammad2421/transformers-pytorch", "kernel_id": "17170318"}, {"ref": "soumochatterjee/discover-difficulty-with-distill-bert", "kernel_id": "17283850"}, {"ref": "soumochatterjee/discover-difficulty-with-bert2", "kernel_id": "17290243"}, {"ref": "soumochatterjee/discover-difficulty-with-xlnet", "kernel_id": "17313820"}, {"ref": "soumochatterjee/discover-difficulty-with-roberta", "kernel_id": "17493621"}, {"ref": "hiroshihiroshi/word-length-and-tf-idf-has-negative-correlation", "kernel_id": "17128824"}, {"ref": "hiroshihiroshi/sort-your-books-by-genre-topicmodel-r", "kernel_id": "17255867"}, {"ref": "abhishekb0210/commonlit-eda-initial", "kernel_id": "17544744"}, {"ref": "terrorblade1/bertmo", "kernel_id": "17435570"}, {"ref": "terrorblade1/bert-lgb-whynotwork", "kernel_id": "17467619"}, {"ref": "maunish/clrp-pytorch-roberta-finetune-tpu", "kernel_id": "17620938"}, {"ref": "maunish/clrp-pytorch-roberta-inference", "kernel_id": "17506126"}, {"ref": "maunish/clrp-pytorch-roberta-finetune", "kernel_id": "17398807"}, {"ref": "maunish/clrp-pytorch-roberta-pretrain", "kernel_id": "17374041"}, {"ref": "artemzapara/commonlit-readability-prize-eda", "kernel_id": "17372291"}, {"ref": "shanelindh/basic-eda-of-commonlitreadbility-data", "kernel_id": "17317140"}, {"ref": "rubiales/scraping-data-augmentation", "kernel_id": "17406693"}, {"ref": "cwwong1606/clrp-inference", "kernel_id": "17074381"}, {"ref": "ajax0564/training-tf-roberta-on-mlm", "kernel_id": "17247331"}, {"ref": "wmanka/roll-your-own-rnn-pytorch", "kernel_id": "17273282"}, {"ref": "mpwolke/dataprep-clean-literature", "kernel_id": "17447957"}, {"ref": "wanko123/bert-with-targets-and-errors-using-trained-outside", "kernel_id": "17659006"}, {"ref": "wanko123/simple-bert-with-targets-and-errors-2", "kernel_id": "17476117"}, {"ref": "wanko123/simple-bert-cnn-with-targets-and-errors", "kernel_id": "17001153"}, {"ref": "wanko123/roberta-cnn-with-target-and-error", "kernel_id": "17101856"}, {"ref": "bacterio/2-bd-ia-directo-env-o-de-referencia", "kernel_id": "17967442"}, {"ref": "bacterio/1-bd-ia-directo-eda", "kernel_id": "17965867"}, {"ref": "donmarch14/commonlit-detailed-guide-to-learn-nlp", "kernel_id": "17188922"}, {"ref": "gogo827jz/optimise-blending-weights-demo", "kernel_id": "17903263"}, {"ref": "eiann1509/commonlit-fine-tuning-with-roberta-base", "kernel_id": "17725803"}, {"ref": "th3niko/keras-bilsmt", "kernel_id": "17961582"}, {"ref": "linainversez/bradley-terry", "kernel_id": "17381241"}, {"ref": "pavelpds1/readability-fcnn-embedding", "kernel_id": "17077327"}, {"ref": "accountstatus/readability-index-in-python", "kernel_id": "17261899"}, {"ref": "kayvanshah/commonlit-readability-roberta-tf-inference", "kernel_id": "17486019"}, {"ref": "kayvanshah/commonlit-readability-roberta-tf", "kernel_id": "17468511"}, {"ref": "chamecall/train-val-split", "kernel_id": "17826221"}, {"ref": "chamecall/bert-train", "kernel_id": "17515861"}, {"ref": "chamecall/clrp-inference", "kernel_id": "17547657"}, {"ref": "chamecall/boosting-train", "kernel_id": "17549477"}, {"ref": "zhrz9616/fork-and-try-roberta-torch-fit", "kernel_id": "17320413"}, {"ref": "engineerfordata/notebook0f7605beb7", "kernel_id": "17064890"}, {"ref": "hinepo/clrp-textstat-feature-eng-xgb-importances", "kernel_id": "17618835"}, {"ref": "mdhamani/clrp-roberta-train", "kernel_id": "17083100"}, {"ref": "mdhamani/clrp-roberta-inference", "kernel_id": "17098553"}, {"ref": "kushagrgoyal/common-readibility-trial", "kernel_id": "17930737"}, {"ref": "wptouxx/clrp-xgboost", "kernel_id": "17024168"}, {"ref": "syurenuko/clrp-word2vec-lightgbm-baseline", "kernel_id": "17767517"}, {"ref": "andradaolteanu/ii-commonlit-bert-vs-roberta-w-b-testing", "kernel_id": "17247775"}, {"ref": "gabrielcf8/commonlit-readability-competition", "kernel_id": "17409389"}, {"ref": "hazigin/commonlit-readability-bert-lightgbm", "kernel_id": "17455111"}, {"ref": "lekynam2000/bart-pretrained-no-fold", "kernel_id": "17128450"}, {"ref": "lekynam2000/bart-custom-loss-use-stderror", "kernel_id": "17008868"}, {"ref": "the0electronic0guy/commonlit-roberta-top-12", "kernel_id": "17443986"}, {"ref": "kozkiuay/pytorch-bert-for-commonlit-readability", "kernel_id": "17096393"}, {"ref": "krishna1997gopal/understand-roberta", "kernel_id": "17725833"}, {"ref": "krishna1997gopal/understand-bert-in-depth-theory-implementation", "kernel_id": "17494937"}, {"ref": "krishna1997gopal/important-in-readability-eda-tf-idf-w2v-xg-boost", "kernel_id": "17014204"}, {"ref": "emrearuk/commonlitreadabilityprize", "kernel_id": "17865206"}, {"ref": "adarshsng/complexity-word2vec-pca-conv1d", "kernel_id": "17484754"}, {"ref": "adarshsng/complexity-cleaning-f-engg-bi-lstm", "kernel_id": "17463683"}, {"ref": "lillymottershead/commonlit-readability-analysis", "kernel_id": "17187809"}, {"ref": "chumajin/bert-v-s-roberta-english", "kernel_id": "17224385"}, {"ref": "katsuyanomura/eda-crp", "kernel_id": "17574156"}, {"ref": "katsuyanomura/word2vec-lgbm-baseline", "kernel_id": "17654513"}, {"ref": "taherhaggui/eda-modeling-very-interesting", "kernel_id": "17355774"}, {"ref": "taherhaggui/roberta-fine-tunning", "kernel_id": "17878190"}, {"ref": "taherhaggui/roberta-training", "kernel_id": "17856249"}, {"ref": "taherhaggui/inference-roberta-lgbm", "kernel_id": "17917621"}, {"ref": "taherhaggui/training-bert-models", "kernel_id": "17982582"}, {"ref": "taherhaggui/bert-fine-tunning", "kernel_id": "17991125"}, {"ref": "felixneate/commonlit-signalvsnoise", "kernel_id": "17112773"}, {"ref": "ruriarmandhani/clrp-roberta-lstm", "kernel_id": "17212162"}, {"ref": "ruriarmandhani/commonlit-submission", "kernel_id": "17221362"}, {"ref": "tensorchoko/commonlit-readability-roberta", "kernel_id": "17963449"}, {"ref": "tensorchoko/commonlit-readability", "kernel_id": "17387039"}, {"ref": "bharadwajvedula/tpu-high-speed-roberta-training", "kernel_id": "17316667"}, {"ref": "bharadwajvedula/clr-lb-0-475-lazy-way-to-get-good-score", "kernel_id": "17883884"}, {"ref": "reinaueda/submit", "kernel_id": "17867699"}, {"ref": "nikolayromanenkov/lightautoml-roberta", "kernel_id": "17579544"}, {"ref": "mananjhaveri/transformers-for-the-first-time", "kernel_id": "17861907"}, {"ref": "iska47/commonlit-data-exploration-and-classic-algorithms", "kernel_id": "17347117"}, {"ref": "justinchae/crp-regression-with-roberta-and-lightgbm", "kernel_id": "17692839"}, {"ref": "drzhuzhe/roberta-base-with-radam-lookahead", "kernel_id": "17876185"}, {"ref": "drzhuzhe/commonlit-stratified-kfold", "kernel_id": "17776434"}, {"ref": "drzhuzhe/crp-roberta-base-tpt", "kernel_id": "17848511"}, {"ref": "drzhuzhe/error-analysis", "kernel_id": "17858352"}, {"ref": "oleksandrsirenko/commonlit-in-depth-eda-baseline", "kernel_id": "17057363"}, {"ref": "markwijkhuizen/commonlit-training", "kernel_id": "17247939"}, {"ref": "thecurvefitter/roberta-embedding-ml", "kernel_id": "17039508"}, {"ref": "thecurvefitter/roberta-model", "kernel_id": "17033426"}, {"ref": "thecurvefitter/baseline-model", "kernel_id": "17000402"}, {"ref": "atsushiiwasaki/commonlit-bert-stratified-k-fold-baseline-train", "kernel_id": "17220414"}, {"ref": "atsushiiwasaki/commonlit-bert-stratified-k-fold-baseline-infer", "kernel_id": "17232860"}, {"ref": "atsushiiwasaki/how-many-samples-do-i-want", "kernel_id": "17256011"}, {"ref": "atsushiiwasaki/sample-size-experiment-training-part", "kernel_id": "17255250"}, {"ref": "shauryajain/lgbm-regressor", "kernel_id": "17296015"}, {"ref": "mokicheese/fork-of-fork-of-transformers-cv-train-infe-b02165", "kernel_id": "17318641"}, {"ref": "moeinshariatnia/does-augmentation-hurt-let-s-ask-the-data-w-tsne", "kernel_id": "17523826"}, {"ref": "moeinshariatnia/commonlit-easy-data-augmentation", "kernel_id": "17523380"}, {"ref": "biswajitroy7890/bert-embeddings-xgboost-regression-text-data", "kernel_id": "17789949"}, {"ref": "tatamikenn/rough-argument-of-theoretical-lower-bound", "kernel_id": "17890508"}, {"ref": "sourabhy/elmo-svm", "kernel_id": "17249479"}, {"ref": "sourabhy/generating-elmo-embeddings", "kernel_id": "17248688"}, {"ref": "sourabhy/commonlit-roberta-ensemble-multichannel-cnn", "kernel_id": "17145454"}, {"ref": "harshmishraandheri/submission-csv", "kernel_id": "17847978"}, {"ref": "adityagarg2809/using-basic-text-features-to-predict-readability", "kernel_id": "17934908"}, {"ref": "tpothjuan/basic-eda-and-simple-lstm-model-prediction-tf", "kernel_id": "17022182"}, {"ref": "yhirakawa/textstat-how-to-evaluate-readability", "kernel_id": "17891707"}, {"ref": "superbb666/superbb666-ngram", "kernel_id": "17028537"}, {"ref": "bumjunkoo/commonlit-run-glue-inference", "kernel_id": "17736195"}, {"ref": "bumjunkoo/commonlit-run-glue", "kernel_id": "17644067"}, {"ref": "shreyasajal/pytorch-lightning-bert-tpu-weights-biases-logs", "kernel_id": "17289194"}, {"ref": "shreyasajal/prompt-tuning-bert-commonlit-readability", "kernel_id": "17124299"}, {"ref": "hotsonhonet/inference-clrf", "kernel_id": "17317465"}, {"ref": "hotsonhonet/helpme", "kernel_id": "17293293"}, {"ref": "hotsonhonet/training-1", "kernel_id": "17040479"}, {"ref": "jinhangjiang/commonlit-readability-sbert-xgb", "kernel_id": "17299533"}, {"ref": "tracyporter/commonlit-readibility-svr-single-y", "kernel_id": "17989089"}, {"ref": "tracyporter/commonlit-readibility-svr", "kernel_id": "17983280"}, {"ref": "sujithkpanoor/required-data", "kernel_id": "17983034"}, {"ref": "sujithkpanoor/roberta-svm-34", "kernel_id": "17983628"}, {"ref": "amiteshgangrade/gradient-boosting-with-glove-embedding", "kernel_id": "17819348"}, {"ref": "hedwig100/bert-simple-baseline-inference", "kernel_id": "17416505"}, {"ref": "hedwig100/bert-simple-baseline", "kernel_id": "17391200"}, {"ref": "aniketsharma00411/random-forest", "kernel_id": "17405272"}, {"ref": "aniketsharma00411/commonlit-readability-decision-tree", "kernel_id": "17076153"}, {"ref": "aniketsharma00411/commonlit-readability-data-observations", "kernel_id": "17711192"}, {"ref": "aniketsharma00411/commonlit-readability-svr", "kernel_id": "17714490"}, {"ref": "aniketsharma00411/commonlit-readability-random-forest", "kernel_id": "17699384"}, {"ref": "aniketsharma00411/commonlit-readability-ridge", "kernel_id": "17741474"}, {"ref": "pradipkumardas/4-commonlit-readability-simple-roberta-with-cv", "kernel_id": "17722190"}, {"ref": "pradipkumardas/3-commonlit-readability-simple-model-with-bert", "kernel_id": "17624134"}, {"ref": "pradipkumardas/1-commonlit-readability-eda", "kernel_id": "17537649"}, {"ref": "pradipkumardas/2-commonlit-readability-baseline-perf-1dconvnet", "kernel_id": "17583957"}, {"ref": "douglaskgaraujo/commonlit-readability-text-features", "kernel_id": "17951690"}, {"ref": "douglaskgaraujo/sentence-complexity-comparison-dataset", "kernel_id": "17567339"}, {"ref": "joshualancaster/readnet-regression", "kernel_id": "17137309"}, {"ref": "joshualancaster/commonlit-readability-prize-roberta-torch-itpt", "kernel_id": "17222619"}, {"ref": "bhaveshkumar2806/commonlit-readability-basic-eda-and-roberta-base", "kernel_id": "17050109"}, {"ref": "srikantakumarsahoo/notebook2f62e91059", "kernel_id": "17694993"}, {"ref": "ligala/readability", "kernel_id": "17988891"}, {"ref": "samarthsharma1408/commonlit-readability-price-simple-eda", "kernel_id": "17876474"}, {"ref": "maostack/clrp-how-to-get-text-embedding-from-roberta", "kernel_id": "17001590"}, {"ref": "lucabottero/statistical-features-from-text", "kernel_id": "17109057"}, {"ref": "nityasevak/heirarchial-attention-regression", "kernel_id": "17616502"}, {"ref": "nityasevak/a-neural-factorization-machine-approach", "kernel_id": "17490812"}, {"ref": "nityasevak/a-zero-feature-engineering-approach", "kernel_id": "17166516"}, {"ref": "nityasevak/ncr-roberta-minilm-mpnet-xgboost", "kernel_id": "17282369"}, {"ref": "lucamtb/readibily-nn", "kernel_id": "17147144"}, {"ref": "lucamtb/readability-feature-engineering-non-nn-baseline", "kernel_id": "17167147"}, {"ref": "urstrulysai/ensemble-just-do-it", "kernel_id": "17108582"}, {"ref": "yus002/readability-will-i-overfit", "kernel_id": "17382819"}, {"ref": "gabrielchapeu/gabriel-previs-o", "kernel_id": "17567623"}, {"ref": "jeongbinpark/using-word2vec", "kernel_id": "17039107"}, {"ref": "jeongbinpark/using-keras-word-embedding", "kernel_id": "17037572"}, {"ref": "jeongbinpark/using-subwordtextencoder", "kernel_id": "17075475"}, {"ref": "mohammedfahadvp/commonlit-readability-prize-beginners-eda", "kernel_id": "17421193"}, {"ref": "dragospancescu/commonlit", "kernel_id": "17469946"}, {"ref": "ttjccc/pytorch-1-9-0", "kernel_id": "17893411"}, {"ref": "ttjccc/download-and-offline-install-the-latest-pytorch", "kernel_id": "17352069"}, {"ref": "ttjccc/offline-install-pytorch-1-8-1", "kernel_id": "17364322"}, {"ref": "tommasomarzi/sub-scoring-error", "kernel_id": "17083118"}, {"ref": "kunihikofurugori/training-commonlit-readability-bertmodel", "kernel_id": "17003117"}, {"ref": "kunihikofurugori/finetunning-commonlit-readability-transformer", "kernel_id": "17300819"}, {"ref": "kunihikofurugori/make-nlpdataset", "kernel_id": "17445314"}, {"ref": "kunihikofurugori/tpu8fold-transformer", "kernel_id": "17586186"}, {"ref": "kunihikofurugori/tpu8fold-transformer-attention", "kernel_id": "17661229"}, {"ref": "kunihikofurugori/tpu8fold-distilroberta", "kernel_id": "17973605"}, {"ref": "mbonnet/baseline-pretrained-distilbert-and-regression", "kernel_id": "17783809"}, {"ref": "mrruslionkz/notebookff02ed0974", "kernel_id": "17640364"}, {"ref": "sounaklahiri01/readability-baseline-distilbert", "kernel_id": "17302109"}, {"ref": "mehrankamal/transformer-cnn-lstm-attention-heads-roberta", "kernel_id": "17134324"}, {"ref": "mehrankamal/transformer-cnn-lstm-attention-heads-distil", "kernel_id": "17134353"}, {"ref": "mehrankamal/commonlit-roberta-cnn", "kernel_id": "17017897"}, {"ref": "mehrankamal/fork-of-commonlit-roberta-cnn", "kernel_id": "17020396"}, {"ref": "nafiularaf/commonlit-readability", "kernel_id": "17105177"}, {"ref": "viteshkakadia/performance-comparison-of-regression-models", "kernel_id": "17858545"}, {"ref": "annazhukovets/read-rate-svr", "kernel_id": "17657211"}, {"ref": "kappawarrior/bertforsequence-with-kfold", "kernel_id": "17918114"}, {"ref": "dlaststark/commonlit-roberta-variants-p1", "kernel_id": "17854649"}, {"ref": "dlaststark/commonlit-bert-variants-p1", "kernel_id": "17849103"}, {"ref": "dlaststark/commonlit-glove-models-ensemble", "kernel_id": "17490582"}, {"ref": "dlaststark/commonlit-data-augmentation", "kernel_id": "17521984"}, {"ref": "masatoootsuka/commonlit-eda", "kernel_id": "17378436"}, {"ref": "gcmadhan/commonlit-readability-eda-modeling", "kernel_id": "17212883"}, {"ref": "ashuto7h/commonlit-readability2-model", "kernel_id": "17857573"}, {"ref": "heyanghuang/baseline-hhy-1-0", "kernel_id": "17972741"}, {"ref": "elenakhachatryan/commonlit-readability-prize-eda-baseline", "kernel_id": "17658215"}, {"ref": "elemento/litread-ml", "kernel_id": "17356853"}, {"ref": "hwangdongjun/predict-readability", "kernel_id": "17515186"}, {"ref": "meihanw/commonlit-autokeras-try-out", "kernel_id": "17337366"}, {"ref": "luanvietnguyen/gpt2-surprisal", "kernel_id": "17885556"}, {"ref": "rungogo/fork-of-commonlit-readability-prize-roberta-torc", "kernel_id": "17615442"}, {"ref": "rungogo/fork-of-commonlit-readability-prize-rober-itpt", "kernel_id": "17621710"}, {"ref": "vermichel/commonlit-readability-prize", "kernel_id": "17876203"}, {"ref": "hjhgjghhg/commonlit-readability-roberta-pretrain", "kernel_id": "17637282"}, {"ref": "pppass/commonlit-readability-robertalarge-tf-stratifie", "kernel_id": "17328889"}, {"ref": "gavinjang/make-prediction", "kernel_id": "17694365"}, {"ref": "walywaly/readingease", "kernel_id": "17978055"}, {"ref": "dhlongle/basic-nlp-with-random-forest", "kernel_id": "17622204"}, {"ref": "jrpark3797/house-prices-titanic-automl", "kernel_id": "17058230"}, {"ref": "matinroom/fork-of-ensem", "kernel_id": "17443163"}, {"ref": "samsonteo/common-readibility001", "kernel_id": "17282803"}, {"ref": "bob2ross/fork-of-commonlit-itpt-weight-decay005-roberta-to", "kernel_id": "17682062"}, {"ref": "rolando222/fork-of-ensem", "kernel_id": "17459320"}, {"ref": "bongbu/notebook41b8773172", "kernel_id": "17491608"}, {"ref": "andyanybody/fork-of-commonlit-readability-prize-roberta-torch", "kernel_id": "17285597"}, {"ref": "brucebatmanwayne/clrp-distilbert-inference", "kernel_id": "17672718"}, {"ref": "jennyteng/project", "kernel_id": "17874125"}, {"ref": "anniedsouza/comlit-lstm", "kernel_id": "17923236"}, {"ref": "dev1ceqqq/ensemblethreemethods", "kernel_id": "17907701"}, {"ref": "dev1ceqqq/crl-newroberta-large-finetune", "kernel_id": "17873687"}, {"ref": "dev1ceqqq/deberta-oof", "kernel_id": "17967154"}, {"ref": "mathislucka/commonlitreadability-r3", "kernel_id": "17616127"}, {"ref": "gabellinifrancesco/nlp-from-bag-of-words-to-transformer-commonlit", "kernel_id": "17891211"}, {"ref": "ankarsingh/commonlit-text-cleaning-and-huggingface-model", "kernel_id": "17549930"}, {"ref": "b0721129/commonlit-readability-analysis", "kernel_id": "17890792"}, {"ref": "heyangk/kkkkk", "kernel_id": "17977366"}, {"ref": "abhishek/debertapairwise466", "kernel_id": "18968786"}, {"ref": "gilfernandes/commonlit-pytorch-ensemble-large", "kernel_id": "18523075"}, {"ref": "gilfernandes/commonlit-pytorch-t5-large-svm", "kernel_id": "18638080"}, {"ref": "ambarish/common-readability-embeddings-lstm", "kernel_id": "18621746"}, {"ref": "neel783d/commonlit-regression-model-comparison", "kernel_id": "18817443"}, {"ref": "datajmcn/nlp-read-eda", "kernel_id": "18451276"}, {"ref": "deepaksadulla/xgb-roberta-customcv-sam-wgts-kmeans", "kernel_id": "18961894"}, {"ref": "aman1391/lightgbm-dance-ridge", "kernel_id": "18302906"}, {"ref": "kartikbhargav/clrp-roberta-model-and-inference", "kernel_id": "18339638"}, {"ref": "vigneshbaskaran/commonlit-nn-kit", "kernel_id": "18462088"}, {"ref": "kirichenko17roman/dl-lab-26-catalyst", "kernel_id": "18468467"}, {"ref": "sagol79/sent-transformer-simple-normal-wiki-texts-svr", "kernel_id": "18986507"}, {"ref": "yogeshkulkarni/commonlit-readability-prize-with-pytorch", "kernel_id": "18612751"}, {"ref": "yogeshkulkarni/commonlit-readability-prize-with-autokeras", "kernel_id": "18620147"}, {"ref": "sahilt93/feature-extraction-bow-word2vec-tfidf-base-model", "kernel_id": "18495847"}, {"ref": "mzntaka0/inference-with-fasttext", "kernel_id": "18469309"}, {"ref": "mzntaka0/document-represenataion-with-fasttext", "kernel_id": "18294708"}, {"ref": "tbhavnani/baseline-bert-regression-using-pytorch", "kernel_id": "18287845"}, {"ref": "tbhavnani/bertseq-with-reading-parameters", "kernel_id": "18545868"}, {"ref": "takoihiraokazu/ex298-inference-save", "kernel_id": "18485883"}, {"ref": "takoihiraokazu/clrp-pytorch-roberta-pretrain-fold0", "kernel_id": "18237814"}, {"ref": "takoihiraokazu/ex237-roberta", "kernel_id": "18238368"}, {"ref": "takoihiraokazu/deberta-v2-xlarge-194-save", "kernel_id": "18256189"}, {"ref": "takoihiraokazu/funnel-large-base-save", "kernel_id": "18285976"}, {"ref": "takoihiraokazu/funel-257-inference-save", "kernel_id": "18290586"}, {"ref": "takoihiraokazu/albert-xxlarge-v2-save", "kernel_id": "18851254"}, {"ref": "takoihiraokazu/ex450-448-albert-v2-xxlarge", "kernel_id": "18851355"}, {"ref": "takoihiraokazu/ex423-funnel-medium", "kernel_id": "18815389"}, {"ref": "takoihiraokazu/gpt-medium-save", "kernel_id": "18815353"}, {"ref": "takoihiraokazu/ex216-inference-save-2", "kernel_id": "18815443"}, {"ref": "takoihiraokazu/ex216-inference-save-1", "kernel_id": "18814724"}, {"ref": "takoihiraokazu/funnel-medium-save", "kernel_id": "18815163"}, {"ref": "takoihiraokazu/gpt-large-save", "kernel_id": "18824955"}, {"ref": "takoihiraokazu/funnel-large-save", "kernel_id": "18756471"}, {"ref": "takoihiraokazu/muppet-roberta-large", "kernel_id": "18713801"}, {"ref": "takoihiraokazu/xlnet-base-save", "kernel_id": "18971369"}, {"ref": "takoihiraokazu/bert-uncased-base-save", "kernel_id": "18971834"}, {"ref": "takoihiraokazu/xlnet-large-save", "kernel_id": "18961495"}, {"ref": "takoihiraokazu/t5-large-save", "kernel_id": "18981374"}, {"ref": "tusonggao/clrp-pytorch-roberta-base-lightgbm", "kernel_id": "18036565"}, {"ref": "tusonggao/clrp-pytorch-roberta-base-svm", "kernel_id": "18028986"}, {"ref": "lhagiimn/commonlit-readability-tensorflow-torch-ensemble-v1", "kernel_id": "18711514"}, {"ref": "himako/allennlp-jsonnet-weak-example-using-roberta", "kernel_id": "18837910"}, {"ref": "bond005/twin-roberta-regression", "kernel_id": "18999565"}, {"ref": "bond005/spacy-readability", "kernel_id": "18853482"}, {"ref": "bond005/readability-bert", "kernel_id": "18719667"}, {"ref": "shivarama/word2vec-xgb-starter-kit-101", "kernel_id": "18575092"}, {"ref": "raghavendrakotala/basiceda", "kernel_id": "18577415"}, {"ref": "raghavendrakotala/pytorch-basline-lstm", "kernel_id": "18662145"}, {"ref": "authman/clit-fails", "kernel_id": "18998089"}, {"ref": "narendra/clrp-roberta-task-finetune-2", "kernel_id": "18822308"}, {"ref": "narendra/commonlit-gru-with-attention-aggregation", "kernel_id": "18221654"}, {"ref": "narendra/commonlit-readability-prize-bert-finetuning", "kernel_id": "18105422"}, {"ref": "narendra/clrp-hirearchial-attention", "kernel_id": "18403635"}, {"ref": "atamazian/clrp-model-with-various-poolers", "kernel_id": "18741251"}, {"ref": "vineethakkinapalli/clrp-roberta-base-representation-techniques", "kernel_id": "18403354"}, {"ref": "vineethakkinapalli/commonlit-two-models", "kernel_id": "18423958"}, {"ref": "urvishp80/roberta-base-last-2-hs-inference-seed-3000", "kernel_id": "18754431"}, {"ref": "wamateusz/linear-regression", "kernel_id": "18793826"}, {"ref": "kaielloasu/commonlit-readability-prize-roberta-torch-infer-3", "kernel_id": "18957287"}, {"ref": "julian3833/1-learning-out-of-the-box-bert-lb-0-577", "kernel_id": "18023588"}, {"ref": "julian3833/2-learning-out-of-the-box-roberta-lb-0-53", "kernel_id": "18025557"}, {"ref": "julian3833/3-learning-out-of-the-box-electra-lb-0-58", "kernel_id": "18114566"}, {"ref": "sapal6/common-lit-fwd-bkwd-training-on-pseudo-label", "kernel_id": "18953084"}, {"ref": "sapal6/commonlit-pseudo-labeler", "kernel_id": "18929693"}, {"ref": "sapal6/commonlit-inference-enseamble-fwd-bkwd-lm", "kernel_id": "18894513"}, {"ref": "sapal6/commonlit-inf-ensmble-fwd-bkwd-student", "kernel_id": "18959000"}, {"ref": "sapal6/common-lit-fwd-training-on-pseudo-l", "kernel_id": "18982827"}, {"ref": "sapal6/commonlit-inf-fwd-student", "kernel_id": "18987657"}, {"ref": "sapal6/common-lit-forward-backward-training-on-ulmfit", "kernel_id": "18435731"}, {"ref": "sapal6/commonlit-infusing-data-with-same-domain-data", "kernel_id": "18484543"}, {"ref": "sapal6/commonlit-train-lm-with-cbt-data-without-wndb", "kernel_id": "18575877"}, {"ref": "davidgzx/stratifiedkfold-on-commonlit-dataset", "kernel_id": "18821632"}, {"ref": "harshpatel1692/clrp-ensemble-inference", "kernel_id": "18569217"}, {"ref": "victororlov/bert-simple-baseline-tensorflow", "kernel_id": "18407844"}, {"ref": "wuyhbb/inference-large", "kernel_id": "18629674"}, {"ref": "wuyhbb/inference-large-ensemble2", "kernel_id": "18983423"}, {"ref": "rhtsingh/swa-apex-amp-interpreting-transformers-in-torch", "kernel_id": "18251751"}, {"ref": "chenfeng1271/fork-of-fork-of-yum-yum-yum-93f968", "kernel_id": "18480956"}, {"ref": "chenfeng1271/commonlit-readability-tensorflow-torch-ensemble", "kernel_id": "18001213"}, {"ref": "shivamanhar/data-extraction-and-data-visualisation", "kernel_id": "18036972"}, {"ref": "abhishek1aa/stacking-ensemble-roberta-xgboost-ridge", "kernel_id": "18143257"}, {"ref": "ppjanka/2021-commonlitreadability-final", "kernel_id": "18926587"}, {"ref": "ppjanka/2021-commonlitreadability", "kernel_id": "18502749"}, {"ref": "jcesquiveld/best-transformer-representations", "kernel_id": "18418612"}, {"ref": "jcesquiveld/generate-extra-data-with-web-scraping", "kernel_id": "18624203"}, {"ref": "ananduk1993/cl-roberta-large-lightgbm-better-finetune", "kernel_id": "18924119"}, {"ref": "ananduk1993/clrp-feature-engineering-baseline-prediction", "kernel_id": "18302140"}, {"ref": "ananduk1993/clrp-data-clean-excerpt-stats", "kernel_id": "18470075"}, {"ref": "juliojuse/commonlit-two-models-4dacde-aab544", "kernel_id": "18891187"}, {"ref": "cdeotte/sentence-compare-approach-0-495", "kernel_id": "18954574"}, {"ref": "takiholadi/02-commonlit-bert-cased-avg-folds", "kernel_id": "18305984"}, {"ref": "takiholadi/01-commonlit-linreg-4-features", "kernel_id": "18266264"}, {"ref": "sharrpie/transformers-clrp-pretrain-roberta-base", "kernel_id": "18993667"}, {"ref": "sharrpie/clrp-finetune-roberta-base", "kernel_id": "18996223"}, {"ref": "sharrpie/clrp-inference-roberta-base", "kernel_id": "18999026"}, {"ref": "chtalhaanwar/simplest-solution", "kernel_id": "18371239"}, {"ref": "nguyenvanlinh/fork-of-comonlit-continue-0-549-sparknlp3-13", "kernel_id": "18947808"}, {"ref": "nguyenvanlinh/comonlit-continue-0-549-sparknlp3-13", "kernel_id": "18736642"}, {"ref": "teeyee314/clr-url-legal-probe", "kernel_id": "18456123"}, {"ref": "pdan93/clrp-features-only-model", "kernel_id": "18241489"}, {"ref": "cgq081616/mean-pooling-4-seeds", "kernel_id": "18900200"}, {"ref": "kaerunantoka/commonlit-110-inf", "kernel_id": "18459705"}, {"ref": "kaerunantoka/commonlit-2nd-stacking-57", "kernel_id": "18995187"}, {"ref": "ktgiahieu/commonlit-ensemble-distilrobertav3-v6", "kernel_id": "18522372"}, {"ref": "ktgiahieu/commonlit-infer-roberta-base-regression", "kernel_id": "18143743"}, {"ref": "shinomoriaoshi/readability-stacking-inference", "kernel_id": "18550705"}, {"ref": "shinomoriaoshi/readability-meta-ensemble-inference", "kernel_id": "18740023"}, {"ref": "kabhinay/roberta-base-inference", "kernel_id": "18495872"}, {"ref": "kabhinay/commonlit-readability-prize-with-pytorch", "kernel_id": "18815050"}, {"ref": "asvskartheek/bert-tpus-jax-huggingface", "kernel_id": "18079574"}, {"ref": "harrytheorange/converttext2csv", "kernel_id": "18973508"}, {"ref": "renjithrrkj/readnet-implemetation", "kernel_id": "18118908"}, {"ref": "dijiswiki/clrp-ensemble-models-xgboost-roberta", "kernel_id": "18529671"}, {"ref": "azertway/textstat-features-ridge", "kernel_id": "18242610"}, {"ref": "w5833946/f50-train", "kernel_id": "18947057"}, {"ref": "w5833946/f51-train", "kernel_id": "18947233"}, {"ref": "w5833946/f-inference-1-1", "kernel_id": "18926325"}, {"ref": "w5833946/f-inference-1", "kernel_id": "18722832"}, {"ref": "w5833946/f41-train", "kernel_id": "18655331"}, {"ref": "w5833946/f-inference-3-1-v4", "kernel_id": "18973745"}, {"ref": "w5833946/f23-train", "kernel_id": "18498561"}, {"ref": "w5833946/f17-train", "kernel_id": "18435413"}, {"ref": "w5833946/f32-train", "kernel_id": "18634377"}, {"ref": "w5833946/f1-itpt", "kernel_id": "18144226"}, {"ref": "w5833946/f2-train", "kernel_id": "18225685"}, {"ref": "dberezhnoy/implementing-bert-with-normalized-data", "kernel_id": "18327096"}, {"ref": "dberezhnoy/edacode", "kernel_id": "18265250"}, {"ref": "dberezhnoy/bert-model-0-577-public-score", "kernel_id": "18872811"}, {"ref": "dhirenkakkar/custom-target-bootstrapping", "kernel_id": "18963428"}, {"ref": "sambhavsg/clrp-training-and-inference-glove-embeddings", "kernel_id": "18115847"}, {"ref": "sambhavsg/data-understanding-and-baseline-model-clrp", "kernel_id": "18106818"}, {"ref": "maunish/clrp-pytorch-roberta-finetune-fixed-minor-issues", "kernel_id": "18589604"}, {"ref": "akashdotcom/commonlit-using-glove-bidirectional-lstm", "kernel_id": "18545997"}, {"ref": "darrentitor/0731-e-stratified-large-roberta", "kernel_id": "18969347"}, {"ref": "darrentitor/0801-g-ensemble", "kernel_id": "18995367"}, {"ref": "kuroyuli/commonlit-readnet-using-fastai", "kernel_id": "18911022"}, {"ref": "arshisal/lateinthegame", "kernel_id": "18726257"}, {"ref": "bacterio/6-nlp-con-transformers", "kernel_id": "18573686"}, {"ref": "bacterio/5-submit-tfidf-ridge", "kernel_id": "18442341"}, {"ref": "bacterio/4-regresion-tf-idf", "kernel_id": "18398553"}, {"ref": "bacterio/3-entrenamiento-regresion-lineal", "kernel_id": "18045925"}, {"ref": "bacterio/7-entrenamiento-transformer", "kernel_id": "18750569"}, {"ref": "utkarsh175/lstm-commonlit", "kernel_id": "18438561"}, {"ref": "sergeykubarev/commonlit-with-kerasregressor", "kernel_id": "18532639"}, {"ref": "sergeykubarev/commonlit-readability-simple-models-to-start-with", "kernel_id": "18474615"}, {"ref": "muhammadalaref/mha-commonlit-readability-prize", "kernel_id": "18273119"}, {"ref": "iamshamikb/clrp-fe-w2v-and-ml", "kernel_id": "18987782"}, {"ref": "iamshamikb/clrp-eda", "kernel_id": "18977410"}, {"ref": "altruisticemphasis/a-different-approach", "kernel_id": "18252289"}, {"ref": "rohithansdah/reading-submission", "kernel_id": "18695823"}, {"ref": "anacgarcia/commonlit-readability-tensorflow-torch-ensemble", "kernel_id": "18408853"}, {"ref": "o00585/rand95", "kernel_id": "18822396"}, {"ref": "o00585/464-pre6", "kernel_id": "18733322"}, {"ref": "mushaya/readability-index-basic", "kernel_id": "18662964"}, {"ref": "hassanrady/roberta-torch-with-svr", "kernel_id": "18869391"}, {"ref": "ktamta/eda-baseline", "kernel_id": "18457652"}, {"ref": "kayvanshah/ensemble-commonlit-2-models", "kernel_id": "18660568"}, {"ref": "muktan/roberta-large-double-attention-1-2-4-8-16-20", "kernel_id": "18871094"}, {"ref": "chamecall/clrp-roberta-pretrain", "kernel_id": "18093152"}, {"ref": "chamecall/clrp-roberta-finetune", "kernel_id": "18012087"}, {"ref": "chamecall/clrp-pretrain", "kernel_id": "18142458"}, {"ref": "chamecall/clrp-finetune-single-roberta-base", "kernel_id": "18143992"}, {"ref": "chamecall/pre-trained-roberta-solution-in-pytorch", "kernel_id": "18352351"}, {"ref": "chamecall/clrp-finetune-roberta-large", "kernel_id": "18553289"}, {"ref": "chamecall/clrp-inference-with-handcrafted-features", "kernel_id": "18785428"}, {"ref": "konumaru/submission-stacking-roberta-models", "kernel_id": "18757376"}, {"ref": "dhruv1234/bert-regression", "kernel_id": "18453376"}, {"ref": "hinepo/136th-5-architectures-35-models", "kernel_id": "18985862"}, {"ref": "hinepo/clrp-electra-inference-lb-0-504", "kernel_id": "18000614"}, {"ref": "mdhamani/clrp-roberta-pre-training-using-deepspeed", "kernel_id": "18348561"}, {"ref": "prajittr/commonlit-readability-glove-xgb-nn-rf-ensemble", "kernel_id": "18110912"}, {"ref": "ligtfeather/squeezebert-madgrad-grad-accumulation-w-b", "kernel_id": "18134761"}, {"ref": "mcarujo/ease-of-reading-prediction-nlp", "kernel_id": "18315335"}, {"ref": "petrand/submission-example", "kernel_id": "18705729"}, {"ref": "mbmackenzie/feature-engineering-and-tfidf", "kernel_id": "18708552"}, {"ref": "surajitcba2021/clrp-gru-withattention", "kernel_id": "18933335"}, {"ref": "riadalmadani/svr-base-model", "kernel_id": "18349836"}, {"ref": "wuharlem/bert-simple", "kernel_id": "18802033"}, {"ref": "joeyaramouni/roberta-with-detailed-analysis-and-visualization", "kernel_id": "18795353"}, {"ref": "vpalotai/commonlit-readability-prize-nlp-basics", "kernel_id": "18531535"}, {"ref": "aleron751/lama-starter", "kernel_id": "18812912"}, {"ref": "aleron751/lama-bert-inference", "kernel_id": "18812966"}, {"ref": "aleron751/semantic-text-complexity-features", "kernel_id": "18792734"}, {"ref": "aleron751/3-roberta-models-blending", "kernel_id": "18974291"}, {"ref": "vivek61/simple-bert-without-finetuning-commonlit", "kernel_id": "18452605"}, {"ref": "millak/bert-in-depth-understanding", "kernel_id": "18761197"}, {"ref": "taherhaggui/bert-forecasting", "kernel_id": "18004707"}, {"ref": "aditidutta/clrp-gpt2-implementation", "kernel_id": "18928128"}, {"ref": "serkankaanbahsi/attention-bert-gru", "kernel_id": "18702512"}, {"ref": "joezzb/synonyms", "kernel_id": "18633905"}, {"ref": "mattjohn/commonlit", "kernel_id": "18808794"}, {"ref": "panxnan/submittion-test", "kernel_id": "18417127"}, {"ref": "panxnan/notebook-commonlit-readability-basedline", "kernel_id": "18242813"}, {"ref": "lililycai/clrp-pytorch-roberta-pretrain", "kernel_id": "18796899"}, {"ref": "justinchae/tune-roberta-pytorch-lightning-optuna", "kernel_id": "18249496"}, {"ref": "justinchae/the-bernstein-bears-crp-submission-1", "kernel_id": "18638229"}, {"ref": "abdelrhmanhosny/baseline-tfidf", "kernel_id": "18853258"}, {"ref": "allohvk/comlit-tryst-with-han", "kernel_id": "18893067"}, {"ref": "oleksandrsirenko/commonlit-text-cleaning", "kernel_id": "18835729"}, {"ref": "juanscanlan/commonlit-inference", "kernel_id": "18583596"}, {"ref": "romansafronenkov/commonlit-readability", "kernel_id": "18805104"}, {"ref": "markwijkhuizen/simple-normal-wikipedia-abstract-dataset", "kernel_id": "18151742"}, {"ref": "markwijkhuizen/simple-normal-wikipedia-abstracts-pretraining", "kernel_id": "18228395"}, {"ref": "markwijkhuizen/simple-normal-wikipedia-sections-pretraining-v1", "kernel_id": "18714021"}, {"ref": "bannourchaker/commonlit-readability-prize-part1-eda-confirmed", "kernel_id": "18744903"}, {"ref": "bannourchaker/commonlit-readability-prize-part21-baseline-bert", "kernel_id": "18900437"}, {"ref": "bannourchaker/commonlit-readability-prize-part2-baseline-bert", "kernel_id": "18881868"}, {"ref": "bannourchaker/readability-tfidf-textstatis-count-feature-propipe", "kernel_id": "18932773"}, {"ref": "atsushiiwasaki/clrp-stratify-on-predictability", "kernel_id": "18503345"}, {"ref": "atsushiiwasaki/clrp-stratify-on-target-s-e-bins-from-sturge-s", "kernel_id": "18454467"}, {"ref": "atsushiiwasaki/clrp-roberta-base-oof-task-fineturning-infer", "kernel_id": "18468419"}, {"ref": "atsushiiwasaki/split-based-on-target-standard-error", "kernel_id": "18423599"}, {"ref": "atsushiiwasaki/clrp-roberta-large-att-mask-act-infer", "kernel_id": "18741834"}, {"ref": "atsushiiwasaki/clrp-electra-large-att-conv1d-infer", "kernel_id": "18886424"}, {"ref": "atsushiiwasaki/clrp-standard-error-feature-eda", "kernel_id": "18957224"}, {"ref": "atsushiiwasaki/clrp-standard-error-as-a-feature", "kernel_id": "18947529"}, {"ref": "stellaris98/commonlit-two-models", "kernel_id": "18426209"}, {"ref": "artemglazunov1990/inference-with-roberta", "kernel_id": "18654238"}, {"ref": "artemglazunov1990/transfer-learning-with-roberta-large", "kernel_id": "18654506"}, {"ref": "artemglazunov1990/all-models-inference", "kernel_id": "18883851"}, {"ref": "artemglazunov1990/roberta-base-svr-5-folds-training-skf", "kernel_id": "18830708"}, {"ref": "artemglazunov1990/roberta-base-mp-xgb-5-folds-training-skf", "kernel_id": "18830755"}, {"ref": "lukenguyen/basic-analysis", "kernel_id": "18352429"}, {"ref": "kylecloud/commonlit-readability-distilbert-5folds", "kernel_id": "18450934"}, {"ref": "takeshikobayashi/bronze-medal-solution-roberta-stacking-ensemble", "kernel_id": "18851026"}, {"ref": "horsek/clrp-roberta-large-v31s-training-on-kaggle", "kernel_id": "18966273"}, {"ref": "anushigulati/notebook5834e854bb", "kernel_id": "18275509"}, {"ref": "masteryux/commonlit-nlp-data-augmentation", "kernel_id": "18944130"}, {"ref": "yhirakawa/bertopic-visualization-of-topic-modeling", "kernel_id": "18530387"}, {"ref": "bayartsogtya/structbert-train-script", "kernel_id": "18883626"}, {"ref": "mayur7garg/common-lit-readability-similarity", "kernel_id": "18492320"}, {"ref": "pranonraian/clrp-one-roberta-model", "kernel_id": "18455326"}, {"ref": "bumjunkoo/comlit-inference-mp-attnhead", "kernel_id": "18862880"}, {"ref": "sinatavakolibanizi/readability-feature-engineering-non-nn-baseline", "kernel_id": "18553602"}, {"ref": "rohitgupta29/basic-eda", "kernel_id": "18239341"}, {"ref": "rohitgupta29/basic-modelling-v1", "kernel_id": "18240866"}, {"ref": "nikitaglazunov/simple-dnn-to-achieve-decent-score", "kernel_id": "18582054"}, {"ref": "rajat95gupta/clrp-ensemble-3x-inference", "kernel_id": "18826385"}, {"ref": "rajat95gupta/clrp-mean-pooling-inference", "kernel_id": "18665813"}, {"ref": "rajat95gupta/mean-pooling-4-seeds", "kernel_id": "18654369"}, {"ref": "rajat95gupta/pre-trained-roberta-solution-in-pytorch", "kernel_id": "18359483"}, {"ref": "rajat95gupta/commonlit-ensemble-5x-inference", "kernel_id": "18350823"}, {"ref": "rajat95gupta/commonlit-roberta-base-starter-implementation", "kernel_id": "18349589"}, {"ref": "shubhamsindal0098/commonlit-readibility-prize", "kernel_id": "18824275"}, {"ref": "tracyporter/commonlit-readibility-gaussianprocess", "kernel_id": "18426887"}, {"ref": "sujithkpanoor/autonlp-finetune-save-weights", "kernel_id": "18221182"}, {"ref": "sujithkpanoor/commonlit-readability-prize-roberta-torch-fit", "kernel_id": "18138216"}, {"ref": "sujithkpanoor/roberta-finetune-046fb7", "kernel_id": "18578273"}, {"ref": "vigneshmano/conv1d-test-1", "kernel_id": "18103643"}, {"ref": "ivanajankov/lstm-nlp", "kernel_id": "18739749"}, {"ref": "hosstell/notebookcf69c4ba48", "kernel_id": "18423443"}, {"ref": "toutatsu/roberta-test", "kernel_id": "18568941"}, {"ref": "afgawe/notebook6bff0b0cb5", "kernel_id": "18423972"}, {"ref": "joechan619/svm-stacking-88th", "kernel_id": "18997821"}, {"ref": "leolu1998/single-model-clrp-inference", "kernel_id": "18754362"}, {"ref": "leolu1998/clrp-finetune-roberta-large", "kernel_id": "18738052"}, {"ref": "leolu1998/commonlit-two-models-for-clrp", "kernel_id": "18831133"}, {"ref": "leolu1998/clrp-pretrain-distilbert", "kernel_id": "18871865"}, {"ref": "virajjayant/commonlit-readability-transformer-network", "kernel_id": "18575371"}, {"ref": "virajjayant/commonlit-readability-transformers-part-2", "kernel_id": "18634654"}, {"ref": "konstantinitsi/roberta-l-v3", "kernel_id": "18504876"}, {"ref": "konstantinitsi/bert2-submit1", "kernel_id": "18453655"}, {"ref": "alaasedeeq/object-oriented-programming-for-data-science", "kernel_id": "18878327"}, {"ref": "sourabh3570/commonliteraturetarget", "kernel_id": "18407915"}, {"ref": "ds572370/deep-evidential-regression", "kernel_id": "18115101"}, {"ref": "devanshusingh/tensorflow-half-attention", "kernel_id": "18631630"}, {"ref": "ankitsinghcoder/fork-of-commonreadability", "kernel_id": "18137798"}, {"ref": "kaisen420/commonreadaility", "kernel_id": "18815495"}, {"ref": "daviddirethucus/commonlit-readability-analysis", "kernel_id": "18228237"}, {"ref": "kauvinlucas/commonlit-readability-prize-with-pretraining", "kernel_id": "18886486"}, {"ref": "lucamtb/commonlit-transformer-train-and-inference", "kernel_id": "18135080"}, {"ref": "thegreatjayant/deep-evidential-regression", "kernel_id": "18439917"}, {"ref": "tanesan/use-masked-language-model-scoring", "kernel_id": "18958554"}, {"ref": "calvchen/bert-regression-using-pytorch", "kernel_id": "18446773"}, {"ref": "andretugan/commonlit-two-models", "kernel_id": "18254420"}, {"ref": "andretugan/pre-trained-roberta-solution-in-pytorch", "kernel_id": "18235828"}, {"ref": "andretugan/lightweight-roberta-solution-in-pytorch", "kernel_id": "18229702"}, {"ref": "andretugan/commonlit-three-public-models", "kernel_id": "18878391"}, {"ref": "kunihikofurugori/step2-1-tpu8foldtraining-rbase", "kernel_id": "18131357"}, {"ref": "kunihikofurugori/step1-exclude-anomaly", "kernel_id": "18119096"}, {"ref": "kunihikofurugori/readability-finalsub-model1", "kernel_id": "18981782"}, {"ref": "kunihikofurugori/readability-finalsub-model2", "kernel_id": "18981802"}, {"ref": "mbonnet/distilbert-fine-tuning-data-augmentation", "kernel_id": "18001656"}, {"ref": "tutty1992/clrp-roberta-svm-roberta-large", "kernel_id": "18579055"}, {"ref": "tutty1992/clrp-pytorch-roberta-inference-rbt-l-rbt-b-tpu", "kernel_id": "18502111"}, {"ref": "tutty1992/clrp-pytorch-roberta-pretrain-roberta-large", "kernel_id": "18502131"}, {"ref": "tutty1992/clrp-pytorch-roberta-finetune-roberta-large", "kernel_id": "18506765"}, {"ref": "angyalfold/ensemble-for-commonlit", "kernel_id": "18972754"}, {"ref": "angyalfold/roberta-large-with-custom-regressor-pytorch", "kernel_id": "18740581"}, {"ref": "angyalfold/fine-tuning-roberta-large-on-clrp-data", "kernel_id": "18811142"}, {"ref": "angyalfold/roberta-large-k-fold-models", "kernel_id": "18395187"}, {"ref": "baokar7/clrp-distilrobertabase-training", "kernel_id": "18378944"}, {"ref": "sunshineanyway/fork-of-commonlit-two-models-model1-w2-m2pred-df1", "kernel_id": "18862173"}, {"ref": "pranjalchatterjee/bag-of-words-word-vectors-commonlit-readability", "kernel_id": "18256084"}, {"ref": "dlaststark/commonlit-no-fancy-stuff", "kernel_id": "18048806"}, {"ref": "maheller/universal-sentence-model-5-fold", "kernel_id": "18978201"}, {"ref": "shankarviswanath/notebook92e8c50940", "kernel_id": "18496563"}, {"ref": "leontrout/fork-of-useful", "kernel_id": "18995392"}, {"ref": "maximkazantsev/commonlit-readability-roberta-lgbm", "kernel_id": "18643769"}, {"ref": "maximkazantsev/commonlit-readability-univ-sent-encoder-xgb", "kernel_id": "18570800"}, {"ref": "hserdaraltan/commonlitreadability-bert-train", "kernel_id": "18331485"}, {"ref": "trnkhnhlinh/kali-baseline", "kernel_id": "18801816"}, {"ref": "binhhuunguyen/attention-mean-pooling-roberta", "kernel_id": "18758048"}, {"ref": "binhhuunguyen/pytorch-roberta-meanpooling-attention", "kernel_id": "18753802"}, {"ref": "bigsmall/commonlit-two-models", "kernel_id": "18841543"}, {"ref": "vungocbinh/commonlitreadabilityprize-bert", "kernel_id": "18335209"}, {"ref": "vungocbinh/commonlitreadabilityprize-bert-autokeras", "kernel_id": "18917553"}, {"ref": "charliezimmerman/clrp-inference-robertabase-robertalarge-ensemble", "kernel_id": "18983810"}, {"ref": "k0mp0t/boosting-regression", "kernel_id": "18198993"}, {"ref": "pichenguang/commonlit-two-models-with-new-model", "kernel_id": "18823810"}, {"ref": "masatomurakawamm/clrp-roberta-simple-finetune-baseline-1", "kernel_id": "18365619"}, {"ref": "masatomurakawamm/clrp-customized-robertamodel-fine-tuning", "kernel_id": "18436283"}, {"ref": "yeahmove/clrp-ensemble-3x-inference", "kernel_id": "18874120"}, {"ref": "alankadiev/why-am-i-getting-notebook-threw-exception-error", "kernel_id": "18810034"}, {"ref": "rowenwitt/rough-spacy-vectors-simple-bidirectional-lstm", "kernel_id": "18234197"}, {"ref": "idwivedi/huggingface-transformers-for-regression-colab", "kernel_id": "18008903"}, {"ref": "markmario/fork-of-clrp-ensemble-3x-inference", "kernel_id": "18879514"}, {"ref": "denniscarl/fork-of-fork-of-commonlit-two-models-model1-55", "kernel_id": "18836293"}, {"ref": "junjitakeshima/beginner-s-gradual-improvement", "kernel_id": "18441609"}, {"ref": "nitekot/commonlit-readability-lab2", "kernel_id": "18852803"}, {"ref": "satyendrapandey16/notebook2bf07f2904", "kernel_id": "18039605"}, {"ref": "yswysc/notebook1qa2ws3ed4rf0ok", "kernel_id": "18945385"}, {"ref": "sylviacat1222/notebook7fe0fca25f", "kernel_id": "18104110"}, {"ref": "aoduozhang/clrp-pytorch-roberta-inference", "kernel_id": "18503670"}, {"ref": "aoduozhang/clrp-pytorch-roberta-finetune", "kernel_id": "18552226"}, {"ref": "arkqaq/pre-trained-roberta-solution-in-pytorch", "kernel_id": "18842536"}, {"ref": "arkqaq/clrp-ensemble-3x-inference", "kernel_id": "18837555"}, {"ref": "mathislucka/commonlit-two-models", "kernel_id": "18350628"}, {"ref": "chenhuang666/a-baseline-model-implemented-by-bert", "kernel_id": "18498873"}, {"ref": "zmax505/notebook20b449257a", "kernel_id": "18859352"}, {"ref": "shrey19/notebook89fa882372", "kernel_id": "18715903"}, {"ref": "artificialmee/clrp-finetune-032fa4", "kernel_id": "18529396"}, {"ref": "nicolesy/clrp-inference-b54382", "kernel_id": "18554160"}, {"ref": "nicolesy/clrp-inference", "kernel_id": "18448548"}, {"ref": "artificialmeee/pre-trained-roberta-solution-in-pytorch", "kernel_id": "18268388"}, {"ref": "artificialmeee/notebook705621c585", "kernel_id": "18269917"}, {"ref": "artificialmeee/readnet-inference", "kernel_id": "18759434"}, {"ref": "artificialmeee/readnet", "kernel_id": "18756417"}, {"ref": "legend123345/notebookf0cf8e8b72", "kernel_id": "18715891"}, {"ref": "legend123345/bidirectional-lstm-spacy-embeddings", "kernel_id": "18911543"}, {"ref": "legend123345/commonlit-transfer-learning-use", "kernel_id": "18861812"}, {"ref": "yunfenghu/version0", "kernel_id": "18975599"}, {"ref": "giangdnghong/mse-k8-group3-final-project", "kernel_id": "18987827"}, {"ref": "minhhieuhoang/ease-read-prediction-nlp", "kernel_id": "18825028"}, {"ref": "mabdelhamidmamin/tree-regression-with-dale-table", "kernel_id": "18811170"}, {"ref": "lqtuantk97/group-4", "kernel_id": "18807639"}, {"ref": "skynguyen3101/notebook20e7c65f48", "kernel_id": "18814890"}, {"ref": "nicejared/fork-of-commonlit-two-models-model1-w2-m2-123w", "kernel_id": "18865388"}, {"ref": "nicejared/fork-of-commonlit-two-models-model1-w2-m2pred-df1", "kernel_id": "18864092"}, {"ref": "easyjaime/clrp-ensemble-3x-inference", "kernel_id": "18959717"}, {"ref": "ruhong/on-stability-of-few-sample-transformer-fine-tuning", "kernel_id": "19947756"}, {"ref": "kentaronakanishi/clrp-095-ensemble13-cv-kaggle93", "kernel_id": "19028246"}, {"ref": "steubk/clrp-benchmark-your-model-with-onestopenglish", "kernel_id": "19143392"}, {"ref": "nmkt6e6d6b74/training-roberta-large-using-cross-entropy", "kernel_id": "19216150"}, {"ref": "davidmezzetti/commonlit-mean-pooled-regression", "kernel_id": "19096355"}, {"ref": "takoihiraokazu/lb-ensemble-add-electra-base-bert-base2-t5-diba2", "kernel_id": "19029898"}, {"ref": "takoihiraokazu/distilbart-save", "kernel_id": "19014783"}, {"ref": "takoihiraokazu/final-sub1", "kernel_id": "19061883"}, {"ref": "bond005/ensemble-after-readability-bert", "kernel_id": "19032558"}, {"ref": "qinhui1999/readability-roberta-large-infer-pseudo-label", "kernel_id": "19055159"}, {"ref": "kurupical/191-192-202-228-251-253-268-288-278-final", "kernel_id": "19020749"}, {"ref": "jacob34/commonlit-create-target-samples", "kernel_id": "19132130"}, {"ref": "iru538/clrp-10model-inference", "kernel_id": "19638826"}, {"ref": "nyleve/3-roberta-electra-deberta-4-layer", "kernel_id": "19058990"}, {"ref": "ananduk1993/ensemble-top-models", "kernel_id": "19033696"}, {"ref": "gomesluiz/commonlit-readability-predict-distilbert-ft", "kernel_id": "19014505"}, {"ref": "potatoc5/final-sub", "kernel_id": "19709860"}, {"ref": "eneszvo/commonlit-summary-transformers-meta-labeling", "kernel_id": "19409898"}, {"ref": "shinomoriaoshi/readability-training-notebook", "kernel_id": "19022918"}, {"ref": "shinomoriaoshi/readability-model-architecture", "kernel_id": "19072530"}, {"ref": "yogesh1190/rating-passage-reading-complexity", "kernel_id": "19000222"}, {"ref": "o00585/1007rand", "kernel_id": "19020759"}, {"ref": "yshrhr/clrp-roberta-stacking", "kernel_id": "19007900"}, {"ref": "yshrhr/clrp-roberta-xgboost-optuna", "kernel_id": "19000452"}, {"ref": "vlomme/commonlit-deberta-large", "kernel_id": "19071882"}, {"ref": "riadalmadani/finetune-roberta-model-with-attention-head", "kernel_id": "19885026"}, {"ref": "riadalmadani/finetune-roberta-evaluate-model-at-each-10-steps", "kernel_id": "19461523"}, {"ref": "riadalmadani/infrerence-roberta-model", "kernel_id": "19513030"}, {"ref": "riadalmadani/debertav3-tf-4-fold-model", "kernel_id": "19661371"}, {"ref": "riadalmadani/increase-the-external-dataset-for-pseudo-labeling", "kernel_id": "19270920"}, {"ref": "riadalmadani/infrerence-bert-model", "kernel_id": "19332097"}, {"ref": "joeyaramouni/roberta-kfold-inference", "kernel_id": "19250227"}, {"ref": "madhurrawat/complexity-mr", "kernel_id": "19008810"}, {"ref": "aithammadiabdellatif/clrp-pytorch-roberta-finetune", "kernel_id": "19801245"}, {"ref": "mananjhaveri/rank-88-clrp-lb-0-457-solution", "kernel_id": "19063980"}, {"ref": "bannourchaker/transferlearning-bert-glove-xgb-lstm-attention", "kernel_id": "19095480"}, {"ref": "ptrikp/distillbert-bert-and-lgbm", "kernel_id": "19136672"}, {"ref": "joshuatalamayan/dasc-project-commonlit-readability-eda", "kernel_id": "19547877"}, {"ref": "jizhouliu/fork-of-fork-of-roberta-base", "kernel_id": "19469083"}, {"ref": "jizhouliu/pre-trained-roberta-solution-in-pytorch-b8013f", "kernel_id": "19448874"}, {"ref": "jizhouliu/linear-baseline-with-cv", "kernel_id": "19264487"}, {"ref": "jizhouliu/robertabase-aux-inference", "kernel_id": "19344644"}, {"ref": "jizhouliu/fork-of-roberta-base", "kernel_id": "19368987"}, {"ref": "jizhouliu/roberta-base-finetune-pretrain", "kernel_id": "19014793"}, {"ref": "denisvorobyev/dug-up-some-useful-features-mse-0-25-on-public-ds", "kernel_id": "19051552"}, {"ref": "omkargangan/commonlit-readability-competition", "kernel_id": "19021064"}, {"ref": "jaydeep2401/commonlitreadability", "kernel_id": "19017621"}, {"ref": "mohamedbakrey/eda-for-commonlit-rp-ml-predict", "kernel_id": "19436947"}, {"ref": "ruoxijia/clrp-mp-xgb", "kernel_id": "19000484"}, {"ref": "trnkhnhlinh/kali-word-embedding", "kernel_id": "19257156"}, {"ref": "charliezimmerman/clrp-train-robertabase-maskedlm-model", "kernel_id": "19378883"}, {"ref": "charliezimmerman/clrp-finetune-trained-robertabase", "kernel_id": "19628715"}, {"ref": "charliezimmerman/clrp-finetune-trained-robertalarge", "kernel_id": "19776333"}, {"ref": "charliezimmerman/clrp-train-robertalarge-masked-lm-model", "kernel_id": "19390995"}, {"ref": "pichenguang/fork-of-commonlit", "kernel_id": "19041626"}, {"ref": "liuyuanjiang/test-model", "kernel_id": "19021433"}, {"ref": "nitekot/notebook3d5cda6fca", "kernel_id": "19044604"}, {"ref": "yunfenghu/30randversion0", "kernel_id": "19020829"}, {"ref": "lqtuantk97/group-4-fsb-lasso", "kernel_id": "19201083"}, {"ref": "lqtuantk97/group-4-fsb-ridge", "kernel_id": "19203706"}, {"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "pdan93/roberta-base-pretrained", "kernel_id": "20316345"}, {"ref": "pdan93/mantis-clrp-demo", "kernel_id": "20908240"}, {"ref": "crprpr/clasificaci-n-de-texto-tensorflow-transformers", "kernel_id": "20429762"}, {"ref": "marcodemeco/commonlit-project", "kernel_id": "20341973"}, {"ref": "mohamadakram/commonlit-bert-submission", "kernel_id": "20489233"}, {"ref": "mathislucka/fork-of-commonlitreadability-r3-2a94de", "kernel_id": "20450902"}, {"ref": "hoxqzj/commonlit-readability-prize-competition", "kernel_id": "20213891"}, {"ref": "steve5438/commonlit-baseline-model", "kernel_id": "21887158"}, {"ref": "steve5438/commonlit-deep-learning-model", "kernel_id": "22069649"}, {"ref": "tealgreen0503/commonlit-roberta-huggingface-trainer", "kernel_id": "22500999"}, {"ref": "ajaypawar123/training-text-compelxity", "kernel_id": "22880896"}, {"ref": "ajaypawar123/inference-text-complexity", "kernel_id": "22879985"}, {"ref": "nguyntrngngha/nlps-submissions", "kernel_id": "22485256"}, {"ref": "mst8823/baseline-001-infer", "kernel_id": "22487812"}, {"ref": "debanshubiswas/ml-project-2", "kernel_id": "22312016"}, {"ref": "aritribasu/roberta-readability", "kernel_id": "22155772"}, {"ref": "gunjanshinde/readability-bert", "kernel_id": "22901756"}, {"ref": "hasebetakanori/easy-machine-learning", "kernel_id": "22446750"}, {"ref": "pietromarinelli/base-train-commonlit", "kernel_id": "23273790"}, {"ref": "pietromarinelli/baseline-inference", "kernel_id": "23273796"}, {"ref": "pietromarinelli/soluzione-medaglia-argento", "kernel_id": "23974413"}, {"ref": "kroha5/nn-notebook-lstm", "kernel_id": "23583743"}, {"ref": "ammarabbasi1040/commonlit-simple-eda-fe-ml", "kernel_id": "24033449"}, {"ref": "davawalamanan/irs-lab-2", "kernel_id": "24502308"}, {"ref": "cenzop/r-reticulate-longformer-and-readability", "kernel_id": "26961993"}, {"ref": "cenzop/sentence-transformers-mpnetbase-no-tuning", "kernel_id": "26959821"}, {"ref": "fqpang/how-to-install-pytorch-1-9-0", "kernel_id": "26092210"}, {"ref": "hengwdai/commonlit-readability-auto3ml", "kernel_id": "26889915"}, {"ref": "hengwdai/commonlit-readability-h2o", "kernel_id": "26890234"}, {"ref": "hengwdai/commonlit-readability-autogluon", "kernel_id": "26890373"}, {"ref": "hengwdai/mercariprice-h2o", "kernel_id": "26891277"}, {"ref": "hengwdai/mercariprice-auto3ml", "kernel_id": "26890779"}, {"ref": "hengwdai/commonlit-readability-data-split", "kernel_id": "26905886"}, {"ref": "hengwdai/quickstart-auto3ml-nlp", "kernel_id": "26933996"}, {"ref": "dpai12/notebook-1", "kernel_id": "26979450"}, {"ref": "supto137617/commonlit-readability-with-roberta", "kernel_id": "27200497"}, {"ref": "dpai12/notebook-3", "kernel_id": "27057825"}, {"ref": "abee82/amex-using-fast-ai", "kernel_id": "28136711"}, {"ref": "szymonsmg/bertmodelling", "kernel_id": "28268997"}, {"ref": "dklvch/mytesttask", "kernel_id": "29485101"}, {"ref": "yagli18/commonlit-readability-prize", "kernel_id": "29934775"}, {"ref": "akshatpattiwar/fake-real-news-detection", "kernel_id": "29946341"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "neilz0211/fork-of-clrp-inference-emsemble-83bac6", "kernel_id": "29552987"}, {"ref": "javigallego/deberta-from-the-ground-up-2-approaches", "kernel_id": "30659012"}, {"ref": "gabriellegaudeau/l101-mybert", "kernel_id": "33373223"}, {"ref": "volodymyrshulga/notebook547e10240d", "kernel_id": "34664237"}, {"ref": "mahluo/pre-trained-roberta-solution-in-pytorch", "kernel_id": "35835591"}, {"ref": "mahluo/pytorch-roberta-pretrain", "kernel_id": "35834725"}, {"ref": "siqicao/commonlit-bert-submission", "kernel_id": "35950850"}, {"ref": "renderhp/distilbert-try", "kernel_id": "36208413"}, {"ref": "natenten/readability-scoring", "kernel_id": "37132453"}, {"ref": "suraj520/roberta-base-know-train-infer", "kernel_id": "37794627"}, {"ref": "manikjatana/commonlit-bert-submission", "kernel_id": "37549379"}, {"ref": "manikjatana/bert-for-regression", "kernel_id": "37521146"}, {"ref": "ineed21eep/commonlitreadability-r3", "kernel_id": "38202094"}, {"ref": "varunmalhotra09/clrp-gpt2-implementation", "kernel_id": "39969370"}, {"ref": "forrestluo/commonlit-readability-roberta-fit", "kernel_id": "39788646"}, {"ref": "suraj520/bart-know-train-infer", "kernel_id": "40266227"}, {"ref": "vikramsandu/commonlit-mlm", "kernel_id": "41600870"}, {"ref": "thedrcat/datasets-wheels", "kernel_id": "42818129"}, {"ref": "uygarkk/youtube-bert", "kernel_id": "42031395"}, {"ref": "lorentzyeung/commonlit-readability-eda-roberta-param-tune", "kernel_id": "43798353"}, {"ref": "vinitkp/text-readability-formulae", "kernel_id": "43369790"}, {"ref": "yuriihavrylko/readability-score", "kernel_id": "43219159"}, {"ref": "xuankhaitrinh/vlsp-ocr", "kernel_id": "43534064"}, {"ref": "focusleft/commonlit-readability-lstm-with-sentence-features", "kernel_id": "44585717"}, {"ref": "focusleft/commonlit-readability-lstm-with-sentence-pos", "kernel_id": "44585727"}, {"ref": "focusleft/commonlit-readability-lstm-with-sent-pos-lang", "kernel_id": "44585737"}, {"ref": "focusleft/commonlit-readability-roberta", "kernel_id": "44586585"}, {"ref": "focusleft/commonlit-readability-roberta-with-sent-features", "kernel_id": "44586595"}, {"ref": "focusleft/commonlit-readability-roberta-with-sent-pos", "kernel_id": "44586603"}, {"ref": "focusleft/commonlit-readability-roberta-with-sent-pos-lang", "kernel_id": "44586605"}, {"ref": "focusleft/commonlit-readability-lstm", "kernel_id": "44585582"}, {"ref": "focusleft/commonlit-readability-xgboost", "kernel_id": "44614831"}, {"ref": "munashesamapundo/samapundo-munashe", "kernel_id": "47883789"}, {"ref": "yuriykim/custom-model", "kernel_id": "48409511"}, {"ref": "yuriykim/lightautoml", "kernel_id": "48456020"}, {"ref": "shubhbansal9/prompt-tuning-bert", "kernel_id": "50510581"}, {"ref": "sparsh35/creating-whl-files-to-install-external-libr-38ff72", "kernel_id": "55212119"}, {"ref": "aplycaebous/tb-banglabert-fpt", "kernel_id": "56320416"}, {"ref": "cardata/commonlit-readability-prize-analysis", "kernel_id": "56280793"}, {"ref": "yaramamdouh/commonlit-readability-lstm-gru", "kernel_id": "67242639"}, {"ref": "ayush07jaiswal/commonlit-readabilty-sub-4", "kernel_id": "73414738"}, {"ref": "viktorurushkin/xlm-roberta-pytorch", "kernel_id": "74397586"}, {"ref": "onnoboru/commonlit-readability-baseline", "kernel_id": "74217862"}, {"ref": "lime1123/commonlit-v2-bert", "kernel_id": "74262625"}, {"ref": "lime1123/commonlit-v2-deberta-submission", "kernel_id": "74426172"}, {"ref": "csmohamedayman/eda-txt-commonlit-readability-prize", "kernel_id": "77789751"}, {"ref": "csmohamedayman/ml-numc-nlp-commonlit-readability-prize", "kernel_id": "77791010"}, {"ref": "enginetinta/excerpt-score-prediction-with-bert", "kernel_id": "77251636"}, {"ref": "alemzhann/basic-roberta", "kernel_id": "85891111"}, {"ref": "dmitryvolovikov/commonlit-readability-prize", "kernel_id": "88376022"}, {"ref": "emrullahyediyildiz/commonlit-readability-prize", "kernel_id": "90196390"}, {"ref": "lunhuanzha/utilizing-transformer-representations-efficiently", "kernel_id": "98871699"}, {"ref": "taseensadatteam/utilizing-transformer-representations-efficiently", "kernel_id": "106236935"}, {"ref": "eymanurserdar/competition-notebook", "kernel_id": "116772958"}, {"ref": "hahahaeun1232/commonlit", "kernel_id": "120116121"}, {"ref": "hanyeseo/notebookf20a12d004", "kernel_id": "120659374"}, {"ref": "mdshafayeturrahman/commonlit-readability-nlp", "kernel_id": "127585704"}]}
{"competition_id": "25925", "kernels": [{"ref": "skeller/title-clustering-with-theme-detection", "kernel_id": "15730621"}, {"ref": "jdoesv/heuristics-final", "kernel_id": "15804392"}, {"ref": "junma1/coleridge-initiative-eda-na-ve-submission", "kernel_id": "15768970"}, {"ref": "chengjiun/coleridgeinitiative-eda-section-list", "kernel_id": "15739662"}, {"ref": "subbuvolvosekar/study-of-the-data-coleridge-initiative", "kernel_id": "15730665"}, {"ref": "tungmphung/pytorch-bert-for-named-entity-recognition", "kernel_id": "15920223"}, {"ref": "tungmphung/coleridge-matching-bert-ner", "kernel_id": "15922101"}, {"ref": "tungmphung/coleridge-initiative-local-score-computation", "kernel_id": "15830765"}, {"ref": "rdizzl3/gathering-the-text-data-eda", "kernel_id": "15731289"}, {"ref": "jamesmcguigan/coleridge-string-literals", "kernel_id": "15730053"}, {"ref": "jamesmcguigan/coleridge-huggingface-question-answering", "kernel_id": "15751341"}, {"ref": "tomwarrens/coleridge-initiative-start-eda", "kernel_id": "15734868"}, {"ref": "pehahn/basic-data-input-with-r", "kernel_id": "15856722"}, {"ref": "gulsum/the-coleridge-initiative", "kernel_id": "15730668"}, {"ref": "daigohirooka/basic-eda-first-impression", "kernel_id": "15807564"}, {"ref": "tanlikesmath/simple-eda-and-preprocessing-of-dataframe", "kernel_id": "15730790"}, {"ref": "zvone1/analysis-of-dataset", "kernel_id": "15931080"}, {"ref": "shams1/coleridg", "kernel_id": "15811806"}, {"ref": "plarmuseau/merge-multiple-json-fileswith-id", "kernel_id": "15736329"}, {"ref": "tthien/meow-baseline", "kernel_id": "15803164"}, {"ref": "narendra/baseline-string-matching-abbrevation", "kernel_id": "15974594"}, {"ref": "narendra/datalabel-eda", "kernel_id": "15923246"}, {"ref": "narendra/coleridge-eda-positive-sentences", "kernel_id": "15908736"}, {"ref": "narendra/cloeridge-browncluster", "kernel_id": "15957740"}, {"ref": "bowdenjr/coleridge-publication-titles-eda", "kernel_id": "15729991"}, {"ref": "msafi04/coleridge-show-us-the-data-eda-naive-submission", "kernel_id": "15733487"}, {"ref": "shahules/coleridge-initiative-data-to-ner-format", "kernel_id": "15910995"}, {"ref": "poornap/coleridge-data-loading-eda-simple-submission", "kernel_id": "15757594"}, {"ref": "eddyrene/title-clustering-with-theme-detection", "kernel_id": "15903524"}, {"ref": "lucabasa/a-shameless-journey-into-nlp-from-scratch", "kernel_id": "15833567"}, {"ref": "pashupatigupta/starter-competition-data-eda-and-modelling", "kernel_id": "15766282"}, {"ref": "pashupatigupta/evaluation-metric-implementation-and-demo", "kernel_id": "15890268"}, {"ref": "srcecde/coleridge-lsh-eda-json-to-dataframe", "kernel_id": "15733017"}, {"ref": "anthokalel/coleridge-complete-eda", "kernel_id": "15921302"}, {"ref": "hamditarek/merge-multiple-json-files-to-a-dataframe", "kernel_id": "15730370"}, {"ref": "shubhamsinghgharsele/coleridge-initiative-eda-classification", "kernel_id": "15734575"}, {"ref": "arka47/show-us-the-data-literally", "kernel_id": "15733448"}, {"ref": "jaybhanushali/train-eda", "kernel_id": "15976735"}, {"ref": "beezus666/extremely-basic-text-matching", "kernel_id": "15787997"}, {"ref": "theoviel/bert-for-question-answering-baseline-inference", "kernel_id": "15866925"}, {"ref": "tjcdev/coleridge-eda-and-visualisation-w-lstm", "kernel_id": "15916679"}, {"ref": "dhirajchandak04/coleridge-eda-wip", "kernel_id": "15756772"}, {"ref": "luki493/viz-dataset-label-instance", "kernel_id": "15815059"}, {"ref": "darknez/sentimental-analysis", "kernel_id": "15759732"}, {"ref": "manabendrarout/tabular-data-preparation-basic-eda-and-baseline", "kernel_id": "15729556"}, {"ref": "jonathanbesomi/clean-text-dataset-label-cleaned-label", "kernel_id": "15815154"}, {"ref": "sidart01/sample1-0", "kernel_id": "15969609"}, {"ref": "vishalsrinirao/coleridge-computing-evaluation-metrics", "kernel_id": "15984362"}, {"ref": "krsna540/show-me-the-data", "kernel_id": "15827259"}, {"ref": "subinium/showusthedata-topic-modeling-with-lda", "kernel_id": "15734979"}, {"ref": "subinium/showusthedata-eda-visualization-utils", "kernel_id": "15733633"}, {"ref": "jarupula/colaridge-bert", "kernel_id": "15733237"}, {"ref": "ahmedewida/na-ve-submission", "kernel_id": "15739518"}, {"ref": "ahmedewida/coleridge-eda-kmeans", "kernel_id": "15803185"}, {"ref": "ahmedewida/coleridge-model-using-gensim", "kernel_id": "15934366"}, {"ref": "kuroyuli/eda-wordclouds-of-broad-categories", "kernel_id": "15737733"}, {"ref": "anaidashaginian/code-for-uniting-the-text-data", "kernel_id": "15853699"}, {"ref": "anaidashaginian/nlp-preprocessing-techniques", "kernel_id": "15854312"}, {"ref": "anaidashaginian/named-entity-recognition-with-spacy-first-attempt", "kernel_id": "15814697"}, {"ref": "anaidashaginian/hugging-face-fine-tuning", "kernel_id": "15821344"}, {"ref": "inder123/version-1-0", "kernel_id": "15850736"}, {"ref": "robin26091991/basic-eda-and-jaccard-similarity", "kernel_id": "15977088"}, {"ref": "robin26091991/topic-modeling-semantic-search-with-top2vec", "kernel_id": "15757477"}, {"ref": "robin26091/word-cloud-of-publication-text", "kernel_id": "15997483"}, {"ref": "taruntiwarihp/coleridge-initiative-modelling", "kernel_id": "15736335"}, {"ref": "datqngo/eda-show-us-data", "kernel_id": "15730266"}, {"ref": "moturupraveenbhargav/coleridge", "kernel_id": "15847245"}, {"ref": "ochaaaaaaan/doc2vec", "kernel_id": "15953985"}, {"ref": "maksymshkliarevskyi/show-us-data-start-our-study-eda", "kernel_id": "15728420"}, {"ref": "mostaphaalsaidi/show-us-the-data", "kernel_id": "15732982"}, {"ref": "ishandutta/coleridge-complete-eda-model", "kernel_id": "15962452"}, {"ref": "josephassaker/coleridge-initiative-eda-na-ve-submission", "kernel_id": "15736480"}, {"ref": "debarshichanda/plotly-let-s-see-the-data", "kernel_id": "15728793"}, {"ref": "anudeepreddykatta/preprocessing-v1", "kernel_id": "15816626"}, {"ref": "georgemazzeo/coleridge", "kernel_id": "15750691"}, {"ref": "jamessorrell/spacy-ner-preprocessing", "kernel_id": "15810363"}, {"ref": "prashansdixit/coleridge-initiative-eda-baseline-model", "kernel_id": "15832962"}, {"ref": "pedrohft/nlp-tutorial-for-beginners-with-tensorflow", "kernel_id": "15771309"}, {"ref": "lalomb40/nlp-just-learning", "kernel_id": "15756334"}, {"ref": "davidemariani/coleridge-ner-full-info-df", "kernel_id": "15964033"}, {"ref": "mohamedbakrey/coleridge-loading-data-eda", "kernel_id": "15751265"}, {"ref": "vishnuravi99/coleridge-initiative-eda", "kernel_id": "15760631"}, {"ref": "hsbota/simple-baseline-finding-labels-in-text-hbot", "kernel_id": "15918966"}, {"ref": "rohanrao/coleridge-string-matching-benchmark-in-r", "kernel_id": "16243700"}, {"ref": "petebleackley/key-phrase-extraction", "kernel_id": "16059921"}, {"ref": "tungmphung/coleridge-bert-masked-dataset-modeling", "kernel_id": "16115464"}, {"ref": "tungmphung/coleridge-predict-with-masked-dataset-modeling", "kernel_id": "16132659"}, {"ref": "adnaiksachin25/wordcloud-cosine-jaccard-sequencematcher", "kernel_id": "16557334"}, {"ref": "pehahn/simple-bigram-matching-in-r", "kernel_id": "16199087"}, {"ref": "jorahn/coleridge-hf-ner-ft", "kernel_id": "16750509"}, {"ref": "kartikbhargav/blazing-fast-eda-coleridge-baseline", "kernel_id": "16641993"}, {"ref": "nikitashende/identifying-data-cleaning-methods-needed", "kernel_id": "16134536"}, {"ref": "robonidos/coleridge-eda-identify-keywords", "kernel_id": "16400601"}, {"ref": "robonidos/end-2-end-cosine-similarity", "kernel_id": "16806101"}, {"ref": "robonidos/minimal-code-submission", "kernel_id": "16988580"}, {"ref": "manang/notebookb555ddcd5f", "kernel_id": "16180591"}, {"ref": "manang/utility-script", "kernel_id": "16181456"}, {"ref": "manang/articles-to-labelled-csv-for-easy-handling", "kernel_id": "16659591"}, {"ref": "ilyenkov/coleridgeinitiative-show-us-the-data-v0", "kernel_id": "16450145"}, {"ref": "verracodeguacas/fast-sample-submission-coleridge-pandas-pickle", "kernel_id": "16026825"}, {"ref": "lmgeertjes/mlip-coleridge-matching-bert-ner", "kernel_id": "16503538"}, {"ref": "areibman/friday-data-science-squad-coleridge", "kernel_id": "16450497"}, {"ref": "mlconsult/100000-govt-datasets-api-json-to-df", "kernel_id": "16399452"}, {"ref": "mlconsult/score-57ish-with-additional-govt-datasets", "kernel_id": "16769244"}, {"ref": "mlconsult/isin-big-dataset", "kernel_id": "16569636"}, {"ref": "mlconsult/44-3-spacy-classifier-no-matching", "kernel_id": "16952708"}, {"ref": "khubchandani/matching-mask-added-govt-data-model", "kernel_id": "16902441"}, {"ref": "khubchandani/bert-masked-dataset-modeling", "kernel_id": "16898950"}, {"ref": "osciiart/lb-probing-2-under-construction", "kernel_id": "16350888"}, {"ref": "osciiart/lb-probing-3", "kernel_id": "16383557"}, {"ref": "osciiart/lb-probing-fewer-labels-in-the-test", "kernel_id": "16147074"}, {"ref": "shivammiglani/spacy-custom-ner-baseline-w-o-string-matching", "kernel_id": "16987266"}, {"ref": "shivammiglani/spacy-3-0-transformer-custom-ner", "kernel_id": "16989848"}, {"ref": "lukaszruczynski/poor-labeling-of-training-data", "kernel_id": "16269629"}, {"ref": "lichena/coleridge-ner-inference", "kernel_id": "16860098"}, {"ref": "lichena/coleridge-ner", "kernel_id": "16571506"}, {"ref": "kaielloasu/coleridge-ensemble-cpu", "kernel_id": "16918211"}, {"ref": "antwerp/sentence-classification-with-few-shot-training", "kernel_id": "16578721"}, {"ref": "makkiemai/mlip14-citation-worthiness", "kernel_id": "16994053"}, {"ref": "kazakan/simple-string-matching-with-ahocorasick", "kernel_id": "16245136"}, {"ref": "tuniosuleman/representation-of-data-using-brt-matching", "kernel_id": "16179726"}, {"ref": "mohitduklan/coleridge-initiative-show-us-the-data-eda", "kernel_id": "16446925"}, {"ref": "cdk292/eda-in-which-section-the-dataset-is-mentionned", "kernel_id": "16302496"}, {"ref": "sonluong1987/r-showusthedata", "kernel_id": "16044546"}, {"ref": "pinterbagz/coleridge-transformer", "kernel_id": "16666107"}, {"ref": "poedator/sentence-level-analysis-with-transformer", "kernel_id": "16036796"}, {"ref": "poedator/coleridge-words-in-titles", "kernel_id": "16018679"}, {"ref": "shunnosukekawai/simple-eda", "kernel_id": "16394193"}, {"ref": "theoviel/bert-for-question-answering-baseline-training", "kernel_id": "16125645"}, {"ref": "jagdmir/gcnn-tutorial", "kernel_id": "16230715"}, {"ref": "jagdmir/coleridge-ner-using-spacy", "kernel_id": "16115333"}, {"ref": "jagdmir/spacy-ner-model", "kernel_id": "16501362"}, {"ref": "abhishekvermasg1/v3-coleridge-extensive-eda", "kernel_id": "16058785"}, {"ref": "matthijsluijten/coleridge-initiative-eda-baseline-model", "kernel_id": "16193232"}, {"ref": "suryadeepti/mask-modelling", "kernel_id": "16919007"}, {"ref": "peaceduck/coleridge-nlp-training", "kernel_id": "16487727"}, {"ref": "rachanabisht/coleridge-dataset-basic-eda", "kernel_id": "16857334"}, {"ref": "hagsmand/coleridge-new", "kernel_id": "16714604"}, {"ref": "domizianostingi/dataset-preparation", "kernel_id": "16024445"}, {"ref": "jitshil143/coleridge-initiative-eda-baseline-model", "kernel_id": "16493796"}, {"ref": "takeajioka/coleridge-predict-with-masked-dataset-modeling", "kernel_id": "16943471"}, {"ref": "ht5brer/difference-between-appearing-and-mentioning", "kernel_id": "16665954"}, {"ref": "ht5brer/coleridge-initiative-simple-question-answering", "kernel_id": "16753431"}, {"ref": "ht5brer/coleridge-initiative-named-entity-recognition", "kernel_id": "16122585"}, {"ref": "harshsharma511/start-to-end-easy-understanding-eda-model", "kernel_id": "16235059"}, {"ref": "aryankejriwal4/coled-sample", "kernel_id": "16290424"}, {"ref": "sreejaej/attention-is-all-you-need-cv", "kernel_id": "16651525"}, {"ref": "zashio/for-beginners-load-all-datas-as-dataframe", "kernel_id": "16708837"}, {"ref": "chandan5/notebookec7ff7e1f4", "kernel_id": "16634815"}, {"ref": "ochaaaaaaan/doc2vec-lgb", "kernel_id": "16382281"}, {"ref": "ochaaaaaaan/pretrained-fasttext-swem-max-lgb", "kernel_id": "16423706"}, {"ref": "ochaaaaaaan/literal-matching-simple-transformers", "kernel_id": "16664455"}, {"ref": "ziweidream/coleridge-init", "kernel_id": "16934463"}, {"ref": "tayyabahussain/coleridge-initiative-eda-modelling", "kernel_id": "16479111"}, {"ref": "chumajin/coleridge-initiative-eda-for-biginner", "kernel_id": "16492745"}, {"ref": "nikitakudriashov/coleridge-initiative-baseline", "kernel_id": "16834326"}, {"ref": "eguidotti/test-data-are-not-fully-labeled", "kernel_id": "16301977"}, {"ref": "samratthapa/classification-better-model", "kernel_id": "16992989"}, {"ref": "samratthapa/very-simple-baseline-model-using-training-labels", "kernel_id": "16809454"}, {"ref": "samratthapa/bert-sentence-segmentation-training", "kernel_id": "16822683"}, {"ref": "clararus/pytorch-bert-for-named-entity-recognition", "kernel_id": "16931424"}, {"ref": "daphnesmits1/coleridge-initiative-eda-baseline-model", "kernel_id": "16905820"}, {"ref": "shindeganesh/coleridge-mm-version-4", "kernel_id": "16958051"}, {"ref": "gauravsahani/coleridge-initiative-let-s-show-us-the-data", "kernel_id": "16972322"}, {"ref": "aishwarya2490/commonlit-readability-prize-eda-cleaning-data", "kernel_id": "16010623"}, {"ref": "anggidwifiani/predict-sample-with-requirements", "kernel_id": "16719009"}, {"ref": "mghfarahani/coleridge-initiative-analysis", "kernel_id": "16862565"}, {"ref": "meesvanosch/coleridge-matching-postselection", "kernel_id": "16264310"}, {"ref": "aishreeramesh/ai4see-nlp-1", "kernel_id": "16551353"}, {"ref": "dineshkumaranbalagan/descriptive-analysis", "kernel_id": "16365605"}, {"ref": "haiyunhu/coleridge-model-training-20210621", "kernel_id": "16302462"}, {"ref": "haiyunhu/commonlitreadabilityprize-train", "kernel_id": "16744793"}, {"ref": "rezashokrzad/coleridge-matching-by-bert-ner", "kernel_id": "16269415"}, {"ref": "armandmorin/show-us-data", "kernel_id": "16592481"}, {"ref": "chienhsianghung/coleridge-initiative-naive-cv-local-validation", "kernel_id": "16904850"}, {"ref": "chienhsianghung/matching-baseline-mlm-w-evaluation-metric", "kernel_id": "16956566"}, {"ref": "davidemariani/coleridge-ner-3-sentences-dataframe", "kernel_id": "16232456"}, {"ref": "davidemariani/coleridge-ner-11b-train-full-dataset", "kernel_id": "16755369"}, {"ref": "davidemariani/coleridge-ner-11b-full-dataset-inference", "kernel_id": "16758764"}, {"ref": "nobatgeldi/coleridge-initiative-eda-baseline-model", "kernel_id": "16008099"}, {"ref": "paoloantonuccio/notebooka5c6393d44", "kernel_id": "16838456"}, {"ref": "gerwindekruijf/baseline-model", "kernel_id": "16348024"}, {"ref": "gerwindekruijf/coleridge-matching-bert-ner-new-model", "kernel_id": "16348550"}, {"ref": "gerwindekruijf/pytorch-bert-for-named-entity-recognition", "kernel_id": "16908220"}, {"ref": "hvwesten/where-s-waldo-dataset-edition", "kernel_id": "16389842"}, {"ref": "leanug/exploring-bert-matching-bert-ner", "kernel_id": "16280670"}, {"ref": "isaiahvh/finetune-ner", "kernel_id": "16479267"}, {"ref": "bartpleiter/pytorch-scibert-for-named-entity-recognition", "kernel_id": "16752451"}, {"ref": "bartpleiter/scibert-ner-string-matching", "kernel_id": "16522465"}, {"ref": "heleenvisserman/mlip-5-de-woordzoekers-bert-literal-matching", "kernel_id": "16582127"}, {"ref": "tijsroz/pytorch-bert-for-named-entity-recognition", "kernel_id": "16612299"}, {"ref": "tijsroz/coleridge-matching-bert-ner-edits-tijs", "kernel_id": "16611748"}, {"ref": "icrybaby/cheat-code-101", "kernel_id": "16913042"}, {"ref": "avinashnk/coleridge-model-using-gensim", "kernel_id": "16666458"}, {"ref": "alldnayak/coleridge-initiative-analysis-with-nlp", "kernel_id": "16955117"}, {"ref": "shellysinha/coleridge-initiative-py", "kernel_id": "16482167"}, {"ref": "shellysinha/coleridgew2v-py", "kernel_id": "16178938"}, {"ref": "tez6c32/coleridge-bert-masked-dataset-modeling-edit", "kernel_id": "16963176"}, {"ref": "jackwong1290/copied-for-my-own-learning", "kernel_id": "16759500"}, {"ref": "bigdatanerds/notebookee2b53dded", "kernel_id": "17455278"}, {"ref": "kamal007/coleridge-initiative-solution-mlmv2", "kernel_id": "17853659"}, {"ref": "thanish/let-s-cluster-the-labels-and-visualize", "kernel_id": "17577439"}, {"ref": "thanish/roberta-token-classification-training-inference", "kernel_id": "17518877"}, {"ref": "thanish/bert-for-token-classification-inference", "kernel_id": "17097387"}, {"ref": "thanish/bert-for-token-classification-ner-tutorial", "kernel_id": "17073249"}, {"ref": "naotous/coleridge-inspect-examples", "kernel_id": "17093545"}, {"ref": "naotous/govt-dataset-json-to-df", "kernel_id": "17908955"}, {"ref": "anuragtr/pytorch-bert-for-ner-v1", "kernel_id": "17326741"}, {"ref": "victorasso/speeding-up-json-files-readings-using-dask", "kernel_id": "17865289"}, {"ref": "lmgeertjes/pytorch-bert-for-named-entity-recognition", "kernel_id": "17106215"}, {"ref": "narendra/semisupervised-with-masked-gru-lm", "kernel_id": "17869749"}, {"ref": "narendra/semisupervised-submission-gru-with-masking", "kernel_id": "17860325"}, {"ref": "bootiu/coleridge-expand-text-dataset", "kernel_id": "17320505"}, {"ref": "osciiart/210622-det1-neru-train-govt", "kernel_id": "17958681"}, {"ref": "lichena/coleridge-pre-processing-hand", "kernel_id": "17452339"}, {"ref": "mignon/fork-of-pytorch-bert-for-ner-final-cleaned", "kernel_id": "17657905"}, {"ref": "ash1706/bert-ner-string-matching-0-53-baseline", "kernel_id": "17147867"}, {"ref": "ash1706/train-bert-base-ner", "kernel_id": "17142380"}, {"ref": "laoliulaoliu/show-us-data", "kernel_id": "17623964"}, {"ref": "laoliulaoliu/let-s-cluster-the-labels-and-visualize", "kernel_id": "17848036"}, {"ref": "suicaokhoailang/submit-gpt-spacy", "kernel_id": "17814723"}, {"ref": "nguyenvanlinh/glove-ner", "kernel_id": "17392718"}, {"ref": "kartikga7/ner-0", "kernel_id": "17522628"}, {"ref": "arunamenon/coleridge-eda-fine-tuned-bert-ner", "kernel_id": "17356729"}, {"ref": "ozanozgur/regex-search-and-keyword-elimination", "kernel_id": "17229499"}, {"ref": "ozanozgur/sorting-sections-by-label-occurrence", "kernel_id": "17378756"}, {"ref": "theoviel/coleridge-ner-inference", "kernel_id": "17191255"}, {"ref": "simranjeetsingh1430/eda-and-ml-coleridge-data-for-public-use", "kernel_id": "17832476"}, {"ref": "devashishprasad/bio-labeled-dataset", "kernel_id": "17014154"}, {"ref": "dathudeptrai/biomed-roberta-scibert-base", "kernel_id": "17951231"}, {"ref": "slashie/coleridge-combo-sub-003", "kernel_id": "17585518"}, {"ref": "slashie/coleridge-ner-chain-v02-c04", "kernel_id": "17538706"}, {"ref": "slashie/coleridge-combo-sub-002", "kernel_id": "17549075"}, {"ref": "jagdmir/classifierbasedtagger-with-bio-tagging", "kernel_id": "17011461"}, {"ref": "mahmudds/coleridge-initiative-show-us-the-data", "kernel_id": "17815004"}, {"ref": "djesse/predict-ner-d6e89c", "kernel_id": "17636933"}, {"ref": "tanez94/coleridge-matching-mlm-2-tf", "kernel_id": "17222287"}, {"ref": "tanez94/coleridge-bert-mlm-94edit", "kernel_id": "17095076"}, {"ref": "tanez94/coleridge-bert-sequence-classification", "kernel_id": "17025759"}, {"ref": "tanez94/coleridge-matching-mlm-edit", "kernel_id": "17051094"}, {"ref": "batprem/coleridge-initiative-solution-mlmv2-1da4df", "kernel_id": "17937211"}, {"ref": "batprem/jelal-external-datasets-matching-mlmv4", "kernel_id": "17937959"}, {"ref": "aladdinss/jelal-external-datasets-matching-mlmv4", "kernel_id": "17541621"}, {"ref": "bibianbennink/with-internet-bert-ner-mlip-28", "kernel_id": "17641380"}, {"ref": "bibianbennink/without-internet-bert-ner-mlip-28", "kernel_id": "17655838"}, {"ref": "suryadeepti/0-573-mask-modeling", "kernel_id": "17130262"}, {"ref": "peaceduck/coleridge-nlp-slicing", "kernel_id": "17663298"}, {"ref": "peaceduck/coleridge-nlp-validation", "kernel_id": "17658752"}, {"ref": "prateekagnihotri/efficient-matching-3m-dataset-names-in-30-mins", "kernel_id": "17960553"}, {"ref": "prateekagnihotri/27th-place-solution-simple-regex-heuristics", "kernel_id": "17991053"}, {"ref": "izuna385/76th-solusions-for-show-us-the-data", "kernel_id": "17630137"}, {"ref": "websoccer902/pandarallel-apply", "kernel_id": "17968089"}, {"ref": "nandakumar1966/notebook9e4178a188", "kernel_id": "17970616"}, {"ref": "razerspeed/coleridge-data-cleaned", "kernel_id": "17720362"}, {"ref": "tanmaymane18/coleridge-just-matching-the-strings", "kernel_id": "17485614"}, {"ref": "spshota/coleridge-text-matching-and-ner-cnt", "kernel_id": "17965667"}, {"ref": "jluza92/lstm-transformer", "kernel_id": "17732060"}, {"ref": "jluza92/entity-extraction-for-classification-spacy-s-ner", "kernel_id": "17227164"}, {"ref": "jluza92/transformer-model-for-coleridge-competition", "kernel_id": "17229004"}, {"ref": "jitshil143/score-57ish-with-additional-govt-datasets", "kernel_id": "17034907"}, {"ref": "jt120lz/highlight-view", "kernel_id": "17465129"}, {"ref": "shaohey0930/matching-baseline-mlm-w-evaluation-metric", "kernel_id": "17585156"}, {"ref": "minhhieutran2112/show-me-the-data-preparer", "kernel_id": "17423698"}, {"ref": "nbroad/no-training-question-answering-model", "kernel_id": "17920967"}, {"ref": "vlomme/coleridge-initiative-5th-place", "kernel_id": "17976874"}, {"ref": "sreejaej/colleridge-attention-inference", "kernel_id": "17081725"}, {"ref": "mfalfafa/coleridge-xlm-roberta-base-epoch-1-training", "kernel_id": "17218890"}, {"ref": "mfalfafa/sentence-level-analysis-with-transformer-v2", "kernel_id": "17418051"}, {"ref": "mfalfafa/ci-create-train-df-with-ext-data", "kernel_id": "17402072"}, {"ref": "mfalfafa/ci-train-ext-dataset-v2", "kernel_id": "17848169"}, {"ref": "sumeetsawant/coleridge-simple-phrase-matching-spacy", "kernel_id": "17426415"}, {"ref": "tuhina13/bert-ner-stringmatch", "kernel_id": "17422645"}, {"ref": "mrparamatma/data-extraction-visualization", "kernel_id": "17549917"}, {"ref": "tensorchoko/web-scraping", "kernel_id": "17773905"}, {"ref": "tensorchoko/mlm-model", "kernel_id": "17477063"}, {"ref": "tensorchoko/coleridge-initiative-unconfident-mlm", "kernel_id": "17579961"}, {"ref": "khkuggle/notebook7102c5fae4", "kernel_id": "17066008"}, {"ref": "olivierfoudras/coleridge-data-preprocessing-submission", "kernel_id": "17246681"}, {"ref": "olivierfoudras/coleridge-data-competition-short-eda", "kernel_id": "17108556"}, {"ref": "nem2020/coleridge-initiative-nltk-eda-v2", "kernel_id": "17662104"}, {"ref": "nikitakudriashov/bio-glove-bilstm-crf", "kernel_id": "17052365"}, {"ref": "saskiadewit/mlip-24-validation-final-version", "kernel_id": "17220678"}, {"ref": "samratthapa/external-datasets-matching-mlmv4", "kernel_id": "17621852"}, {"ref": "haithemhermessi/roberta-bert-tokenizer-train-inference", "kernel_id": "17929255"}, {"ref": "haithemhermessi/roberta-token-classification-training-inference", "kernel_id": "17938942"}, {"ref": "khosiyatsabirova/coleridge-initiative", "kernel_id": "17932111"}, {"ref": "ibrahimblm/coleridge-showus-the-data", "kernel_id": "17385960"}, {"ref": "anushigulati/notebooke71ac16431", "kernel_id": "17970395"}, {"ref": "diegoflorezestrada/paraphrase-minilm-encode", "kernel_id": "17854295"}, {"ref": "ajaypawar123/eda-text-processing-string-matching-beginners", "kernel_id": "17261849"}, {"ref": "polapob/pytorch-bert-for-named-entity-recognition", "kernel_id": "17448733"}, {"ref": "nararyoya/make-data", "kernel_id": "17462389"}, {"ref": "rajat95gupta/string-matching-starter-implementation", "kernel_id": "17870392"}, {"ref": "rajat95gupta/coleridge-initiative-show-us-the-data", "kernel_id": "17883441"}, {"ref": "rajat95gupta/coleridge-bert-masked-dataset-modeling", "kernel_id": "17901651"}, {"ref": "clementbuton/simple-baseline", "kernel_id": "17878776"}, {"ref": "saralafia/v3-rf-ner", "kernel_id": "17973045"}, {"ref": "saralafia/v2-string-matching", "kernel_id": "17114953"}, {"ref": "jasperdemeijer/coleridge-initiative-let-s-show-us-the-data", "kernel_id": "17552397"}, {"ref": "haiyunhu/govt-dataset-json-to-df", "kernel_id": "17677327"}, {"ref": "christosmavrikis/coleridge-matching-bert-ner-c12f77", "kernel_id": "17335642"}, {"ref": "christosmavrikis/score-57ish-with-additional-govt-datasets", "kernel_id": "17146342"}, {"ref": "jverhaert/customner-template-nltk", "kernel_id": "17264907"}, {"ref": "baotramduong/coleridge-initiative-gru", "kernel_id": "17170480"}, {"ref": "baotramduong/coleridge-initiative-n-gram-models", "kernel_id": "17115119"}, {"ref": "baotramduong/coleridge-initiative-bidirectional-lstm", "kernel_id": "17282365"}, {"ref": "baotramduong/coleridge-initiative-spacy-ner", "kernel_id": "17459495"}, {"ref": "baotramduong/coleridge-initiative-sep-cnn", "kernel_id": "17835489"}, {"ref": "baotramduong/show-us-the-data-eda", "kernel_id": "17902292"}, {"ref": "baotramduong/capstone-ngram-lstm-gru-sepcnn-spacy", "kernel_id": "17925106"}, {"ref": "rezashokrzad/mask-modelling", "kernel_id": "17099028"}, {"ref": "danieldorosz/show-us-the-data-bigbird-dataprep", "kernel_id": "17268257"}, {"ref": "armandmorin/matching-baseline-mlm-w-evaluation-metric", "kernel_id": "17040002"}, {"ref": "hsuchialun/show-us-the-data", "kernel_id": "17039325"}, {"ref": "chienhsianghung/coleridge-roberta-ner-external-pseudo-labels", "kernel_id": "17710546"}, {"ref": "chienhsianghung/bert-ner-qa-match-mlm-training-labels-2", "kernel_id": "17552716"}, {"ref": "chienhsianghung/bert-ner-qa-match-mlm-training-labels-1", "kernel_id": "17552364"}, {"ref": "chienhsianghung/additional-datasets-mlmv4", "kernel_id": "17542219"}, {"ref": "chienhsianghung/bert-ner-qa-match-roberta-mlm", "kernel_id": "17930301"}, {"ref": "chienhsianghung/bert-ner-mlm", "kernel_id": "17968311"}, {"ref": "chienhsianghung/roberta-ner-qa-match-roberta-mlm", "kernel_id": "17906886"}, {"ref": "chienhsianghung/additional-datasets-manually-tagged-mlmv4", "kernel_id": "17392588"}, {"ref": "chienhsianghung/coleridge-bert-ner-external-pseudo-labels", "kernel_id": "17389338"}, {"ref": "chienhsianghung/bert-ner-qa-match-mlm", "kernel_id": "17388904"}, {"ref": "chienhsianghung/bert-question-answering-training", "kernel_id": "17444721"}, {"ref": "chienhsianghung/external-datasets-matching-mlmv4", "kernel_id": "17415870"}, {"ref": "chienhsianghung/coleridge-bert-mlm-external-pseudo-labels", "kernel_id": "17261002"}, {"ref": "chienhsianghung/bert-for-question-answering-baseline-training", "kernel_id": "17343590"}, {"ref": "chienhsianghung/coleridge-matching-bert-ner", "kernel_id": "17136160"}, {"ref": "chienhsianghung/bert-for-question-answering-inference", "kernel_id": "17129403"}, {"ref": "chienhsianghung/web-scraping-for-bigger-govt-dataset-list", "kernel_id": "17158722"}, {"ref": "chienhsianghung/coleridge-bert-mlm-training-w-external-data", "kernel_id": "17210022"}, {"ref": "chienhsianghung/pytorch-bert-for-named-entity-recognition", "kernel_id": "17183622"}, {"ref": "chienhsianghung/rich-context-competition-train-test-tar-gz", "kernel_id": "17186988"}, {"ref": "chienhsianghung/coleridge-bert-masked-dataset-modeling", "kernel_id": "17075463"}, {"ref": "chienhsianghung/external-data-external-pseudo-mlm", "kernel_id": "17086823"}, {"ref": "chienhsianghung/external-datasets-matching-mlm", "kernel_id": "17034554"}, {"ref": "abdulkadirguner/314version-trials", "kernel_id": "17626948"}, {"ref": "ksnoeij/coleridge-matching-bert-ner-mlip27", "kernel_id": "17507192"}, {"ref": "charlottecvn/challenge-2-sentence-flair-lstm-transformer", "kernel_id": "17720842"}, {"ref": "charlottecvn/challenge-2-pipeline-final", "kernel_id": "17717615"}, {"ref": "rosalievanark/pytorch-scibert-for-ner-train", "kernel_id": "17037098"}, {"ref": "dannystax/pytorch-bert-for-named-entity-recognition", "kernel_id": "17028502"}, {"ref": "dannystax/exploring-bert-matching-bert-ner", "kernel_id": "17028651"}, {"ref": "dannystax/coleridge-matching-bert-ner-9ace78", "kernel_id": "17512988"}, {"ref": "notromeo/coleridge-intiative-final-version-mlip21", "kernel_id": "17720215"}, {"ref": "honghongzhu/mlip30-pattern-matching-and-scibert", "kernel_id": "17714365"}, {"ref": "dgirzadas/coleridge-preselection-model", "kernel_id": "17030838"}, {"ref": "heleenvisserman/woordzoekpytorch-bert-for-named-entity-recognition", "kernel_id": "17126879"}, {"ref": "frederikeelsmann/data-analysis-notebook", "kernel_id": "17690120"}, {"ref": "olivierbrahma/coleridge-matching-bert-ner-new-model", "kernel_id": "17375112"}, {"ref": "krutikadhavale/coleridge-initiative-eda-baseline-model", "kernel_id": "17104931"}, {"ref": "santosh1974/coleridge-initiative", "kernel_id": "17050216"}, {"ref": "starrain3/trainning-code", "kernel_id": "17559135"}, {"ref": "liuchungmeng/coleridge-predict-with-masked-dataset-modeling", "kernel_id": "17583706"}, {"ref": "gavinjang/bert-with-pre-trained-model", "kernel_id": "17614390"}, {"ref": "gavinjang/installing-tf-text-official-model", "kernel_id": "17651721"}, {"ref": "tez6c32/coleridge-matching-mlm-3-32", "kernel_id": "17222315"}, {"ref": "tez6c32/coleridge-matching-mlm-2", "kernel_id": "17097499"}, {"ref": "tez6c32/coleridge-matching-mlm-edit-tf", "kernel_id": "17104532"}, {"ref": "tez6c32/coleridge-bert-mlm", "kernel_id": "17049230"}, {"ref": "tez6c32/coleridge-matching-seq-classification", "kernel_id": "17029219"}, {"ref": "robbienlp/cole-external-labels", "kernel_id": "17215120"}, {"ref": "abderrahimalakouche/bert-masked-language-modeling", "kernel_id": "17722549"}, {"ref": "arkqaq/matching-ner-tc", "kernel_id": "17174420"}, {"ref": "arkqaq/super", "kernel_id": "17310694"}, {"ref": "tangotab/data-extraction-framework-using-nlp-techniques", "kernel_id": "17736800"}, {"ref": "tangotab/para-data", "kernel_id": "17741815"}, {"ref": "trentb/coleridge-dataset-extractor", "kernel_id": "18074003"}, {"ref": "kaielloasu/coleridge", "kernel_id": "18957296"}, {"ref": "haithemhermessi/attention-mechanism-keras-as-simple-as-possible", "kernel_id": "18330020"}, {"ref": "datlatarunvarma/ner-using-spacy", "kernel_id": "18777252"}, {"ref": "danieldorosz/show-us-the-data-bigbird-inference", "kernel_id": "18337696"}, {"ref": "danieldorosz/show-us-the-data-bigbird-fine-tuning", "kernel_id": "18263529"}, {"ref": "liuna41/biomed-roberta-scibert-base", "kernel_id": "18464655"}, {"ref": "oleksandrsirenko/coleridge-initiative-rule-based-model", "kernel_id": "19560077"}, {"ref": "ashishadhikari061/matching-mask-added-govt-data-model", "kernel_id": "19693646"}, {"ref": "maazanwar123/bert-masked-dataset-modeling", "kernel_id": "19277861"}, {"ref": "maazanwar123/bert-masked-language-modeling", "kernel_id": "19874606"}, {"ref": "mfalfafa/coleridge-spacy-model-training", "kernel_id": "20776334"}, {"ref": "mfalfafa/coleridge-initiative-final-inference", "kernel_id": "20767813"}, {"ref": "sanketnaikwadi/notebook24d7dbacd4", "kernel_id": "21311037"}, {"ref": "kofdzz/pytorch-bert-for-named-entity-recognition", "kernel_id": "21678451"}, {"ref": "sinking8/bertq-a", "kernel_id": "31799493"}, {"ref": "ciliamadani/bert-english-language-learning", "kernel_id": "31695386"}, {"ref": "prosenjitgoswami/bert-for-question-answering-baseline-inference", "kernel_id": "35759374"}, {"ref": "fengshaodi/bert-for-question-answering-baseline-training", "kernel_id": "36746130"}, {"ref": "ihsanbp/new122", "kernel_id": "41070083"}, {"ref": "pragati1317/gcnn-tutorial", "kernel_id": "54511731"}, {"ref": "phctuynl/nlp-application", "kernel_id": "67221384"}, {"ref": "sankalpsurya/21dcs017", "kernel_id": "80857202"}]}
{"competition_id": "25940", "kernels": []}
{"competition_id": "25943", "kernels": []}
{"competition_id": "25944", "kernels": [{"ref": "mrhassanfadi/zero-shot-random", "kernel_id": "15448389"}, {"ref": "asalhi/arabic-sentiment-analysis-2nd-place-winning-code", "kernel_id": "17514674"}]}
{"competition_id": "25950", "kernels": [{"ref": "stevenhiscocks/drone-tracking-with-stone-soup", "kernel_id": "16087023"}]}
{"competition_id": "25951", "kernels": [{"ref": "marcoisajoke/hash-code-traffic-light-optimal", "kernel_id": "15994182"}, {"ref": "chiragjn101/remove-unused-streets-1-sec-open-by-tlcq", "kernel_id": "15250996"}, {"ref": "batzner/simulation-and-grading-in-python", "kernel_id": "15208947"}, {"ref": "embiid/notebook84444b8e12", "kernel_id": "15462392"}, {"ref": "huikang/sample-submission-with-green-light-duration-of-one", "kernel_id": "15163675"}, {"ref": "giraycoskun/googhashcode-trivial-solution", "kernel_id": "15247499"}, {"ref": "azaky003/hashcode-2021-cpp", "kernel_id": "15163563"}, {"ref": "rianlee/simple-submission-code", "kernel_id": "15207758"}, {"ref": "petrovegor/simple-submission-code", "kernel_id": "15511296"}, {"ref": "petrovegor/simulation-and-grading-in-python", "kernel_id": "15512495"}, {"ref": "simonplatonov/hash-code-platonov", "kernel_id": "15507235"}, {"ref": "vishnuravi99/traffic", "kernel_id": "15444887"}, {"ref": "bkhamdeev/simpletrafficlights", "kernel_id": "15203518"}, {"ref": "pasithan/traffic-light-optimization", "kernel_id": "15548203"}, {"ref": "marcoisajoke/hash-code-traffic-light-hash-solution", "kernel_id": "16015127"}, {"ref": "jazivxt/hash-code-2021-fun", "kernel_id": "16508237"}, {"ref": "siddharthpchauhan/traffic-hash", "kernel_id": "16799400"}, {"ref": "attaullahshafiq/traffic-signal-control", "kernel_id": "16872010"}, {"ref": "sagishporer/2nd-place-solution-4508721", "kernel_id": "16504054"}, {"ref": "arjunagarwal899/competition-traffic-signalling", "kernel_id": "16581583"}, {"ref": "sonya1/notebook84444b8e12", "kernel_id": "17067800"}, {"ref": "sonya1/traffic-hash-5a81b8", "kernel_id": "17067712"}, {"ref": "sonya1/notebooke4d219bfaf", "kernel_id": "17012360"}, {"ref": "siddharthsingh01/traffic-problem-c-solution", "kernel_id": "24150488"}, {"ref": "erikely2233/notebook64142ac8aa", "kernel_id": "37589748"}, {"ref": "goyalharshit03/notebook257c00c4b4", "kernel_id": "50361328"}, {"ref": "arshiyakishore/hash-code", "kernel_id": "50827525"}, {"ref": "piyush1234ggfuvi/traffic-light", "kernel_id": "50986995"}, {"ref": "xyjxyj/notebook963f38daef", "kernel_id": "81929383"}]}
{"competition_id": "25954", "kernels": [{"ref": "shrutisaxena/birdclef-resnet50-model", "kernel_id": "15967976"}, {"ref": "anuragupadhyaya/birdclef2021-data-shading-visual-eda", "kernel_id": "15953802"}, {"ref": "anuragupadhyaya/birdclef2021-basic-eda-audio-data", "kernel_id": "15957472"}, {"ref": "stefankahl/birdclef2021-sample-submission", "kernel_id": "15808404"}, {"ref": "stefankahl/birdclef2021-processing-audio-data", "kernel_id": "15723932"}, {"ref": "stefankahl/birdclef2021-model-training", "kernel_id": "15741257"}, {"ref": "stefankahl/birdclef2021-exploring-the-data", "kernel_id": "15692134"}, {"ref": "msafi04/birdclef-2021-eda-train", "kernel_id": "15958707"}, {"ref": "felipesens/pytorch-starter-train", "kernel_id": "15989588"}, {"ref": "alanchn31/birdclef-create-spectrogram-using-multiprocess", "kernel_id": "15990674"}, {"ref": "hidehisaarai1213/pytorch-inference-birdclef2021-starter", "kernel_id": "15988729"}, {"ref": "hamditarek/birdclef-2021-audio-data-analysis", "kernel_id": "15948134"}, {"ref": "ashwanibhat/eda-audio-data", "kernel_id": "15960056"}, {"ref": "ayuraj/birdclef-quick-eda-with-w-b", "kernel_id": "15968792"}, {"ref": "imeintanis/metric-explained-row-wise-micro-averaged-f1", "kernel_id": "15960108"}, {"ref": "ahmedewida/birdclef-2021-starter-notebook", "kernel_id": "15991411"}, {"ref": "ahmedewida/birdclef2021-pytorch", "kernel_id": "15997133"}, {"ref": "kmldas/birdclef-2021-eda-model", "kernel_id": "15954913"}, {"ref": "jitshil143/birds-call-identification", "kernel_id": "15986689"}, {"ref": "drcapa/birdclef-2021-starter", "kernel_id": "15947037"}, {"ref": "marinamg12/plutarsi", "kernel_id": "15994936"}, {"ref": "tomdenton/birdclef2021-tfaudiodataset", "kernel_id": "15729993"}, {"ref": "ishandutta/v5-clef-indepth-eda-for-competition", "kernel_id": "15967169"}, {"ref": "mohamedbakrey/birdclef-2021-do-a-sound-analysis", "kernel_id": "15977791"}, {"ref": "kojima1976/bird-prog-2", "kernel_id": "15952447"}, {"ref": "starasr/birds-fly", "kernel_id": "15957508"}, {"ref": "rohitbpur/birdclef-2021-starter-rohit", "kernel_id": "15978857"}, {"ref": "krishnakalyan3/birdclef-looking-at-the-data", "kernel_id": "16096834"}, {"ref": "heeralal318/birdclef-2021-eda", "kernel_id": "16015467"}, {"ref": "tiagovieira/pytorch-pipeline-training", "kernel_id": "16674528"}, {"ref": "abelsen/birdclef-2021", "kernel_id": "16008465"}, {"ref": "jmreuter/birdclef-visualizing-non-target-sounds", "kernel_id": "16047856"}, {"ref": "jmreuter/a-birder-s-eye-view-of-the-metadata-with-taxonomy", "kernel_id": "16071945"}, {"ref": "jmreuter/birdclef-2021-a-brief-tour-of-the-four-test-sites", "kernel_id": "16996519"}, {"ref": "ashavish/birdclef-2021-eda-train-attempt1", "kernel_id": "16284553"}, {"ref": "tonychenxyz/clean-fast-simple-bird-identifier-training-colab", "kernel_id": "16799450"}, {"ref": "fraank/birdclef-2021-data-exploration", "kernel_id": "16703246"}, {"ref": "guedou/metric-implementation", "kernel_id": "16845604"}, {"ref": "johnowhitaker/baseline-model", "kernel_id": "16122501"}, {"ref": "johnowhitaker/peak-identification", "kernel_id": "16085115"}, {"ref": "johnowhitaker/evaluation-try-1", "kernel_id": "16396451"}, {"ref": "larsmadsen/look-it-is-bird-song-spectrograms", "kernel_id": "16342221"}, {"ref": "christofhenkel/birds-inference-pip-wheels", "kernel_id": "16970253"}, {"ref": "takamichitoda/birdclef-starter-infer-precomputed-spectrogram", "kernel_id": "16055020"}, {"ref": "takamichitoda/birdclef-train-only-metadata", "kernel_id": "16011119"}, {"ref": "takamichitoda/birdclef-starter-train-precomputed-spectrogram", "kernel_id": "16028815"}, {"ref": "hidehisaarai1213/pytorch-training-birdclef2021-starter", "kernel_id": "16019450"}, {"ref": "kneroma/clean-fast-simple-bird-identifier-inference", "kernel_id": "16293106"}, {"ref": "kneroma/clean-fast-simple-bird-identifier-training-colab", "kernel_id": "16403695"}, {"ref": "kneroma/birdclef-mels-computer-public", "kernel_id": "16559766"}, {"ref": "julichitai/birdclef-eda-fft", "kernel_id": "16829696"}, {"ref": "julichitai/birdclef-spectrum-transfer-learning", "kernel_id": "16832041"}, {"ref": "shantanu778/bird-sound-event-detection-train", "kernel_id": "16162551"}, {"ref": "trendysloth/working-version", "kernel_id": "16684617"}, {"ref": "trendysloth/fork-of-notebooka033a269fc", "kernel_id": "16622726"}, {"ref": "trendysloth/notebooka033a269fc", "kernel_id": "16451663"}, {"ref": "leohsu/birds-season-location-visualization", "kernel_id": "16082132"}, {"ref": "nitindatta/inference", "kernel_id": "16445334"}, {"ref": "coder247/bird-clef-cnn-and-spectogram", "kernel_id": "16093448"}, {"ref": "zhuzhuming9584/birdclef2021-model-training", "kernel_id": "16662017"}, {"ref": "ayuraj/multiprocessing-5-second-audio-clips", "kernel_id": "16200876"}, {"ref": "sheroook/eda-for-birdcall", "kernel_id": "16018786"}, {"ref": "zifencai/simple-bird-identifier-inference", "kernel_id": "16908284"}, {"ref": "imeintanis/birdclef-interactive-spectrogram-viewer", "kernel_id": "16038242"}, {"ref": "whurobin/training-pipeline-in-pytorch-lightning", "kernel_id": "16797720"}, {"ref": "toldo171/birdclef-process-create-and-download-img-dataset", "kernel_id": "16223813"}, {"ref": "jitshil143/birdclef-2021-eda-model", "kernel_id": "16272907"}, {"ref": "dkrocksup/simpleinference", "kernel_id": "16972542"}, {"ref": "dkrocksup/datapreparation", "kernel_id": "16934348"}, {"ref": "rohithansdah/birdclef2021-feature-extraction", "kernel_id": "16700598"}, {"ref": "harshsharma511/one-stop-easy-understanding-eda-base-model", "kernel_id": "16290991"}, {"ref": "aramacus/at-the-right-place-in-the-right-time", "kernel_id": "16245160"}, {"ref": "maximvlah/migration-patterns-morning-vs-night-birds", "kernel_id": "16000607"}, {"ref": "sarpal465/clean-fast-simple-bird-identifier-training-colab", "kernel_id": "16669948"}, {"ref": "sarpal465/birdclef2021-complete-eda", "kernel_id": "16197862"}, {"ref": "didiruh/gamanet-birdcall-identification", "kernel_id": "16672658"}, {"ref": "jackize/birds-call-identification-online-0-58", "kernel_id": "16112916"}, {"ref": "dmitriystarodubcev/notebookb7fa20f0d6", "kernel_id": "16987142"}, {"ref": "kengofujii/clean-fast-simple-bird-identifier-20210502", "kernel_id": "16670920"}, {"ref": "nadyastrogankova/16-s-place-solution", "kernel_id": "16326492"}, {"ref": "duythanhng/birdclef-2021-pytorch-augmentation", "kernel_id": "16391369"}, {"ref": "duythanhng/birdclef-2021-pytorch-augmentation-infer", "kernel_id": "16498825"}, {"ref": "shubhamgujar/birdclef-eda-fft-v-s-spectrum-transfer-learning", "kernel_id": "16570533"}, {"ref": "teyosan1229/birdclef-cnn-aproach-pytorch", "kernel_id": "16277373"}, {"ref": "hotsonhonet/baseline-birdclef", "kernel_id": "16992437"}, {"ref": "vrpirates/clean-fast-simple-bird-identifier-trainin-e5a16d", "kernel_id": "16827793"}, {"ref": "vrpirates/clean-fast-simple-bird-identifier-trainin-d570f7", "kernel_id": "16827834"}, {"ref": "virajkadam/birdclef-extracting-spectrograms", "kernel_id": "16973991"}, {"ref": "virajkadam/birdclef-exploratory-data-analysis", "kernel_id": "16615831"}, {"ref": "zekunn/notebookc8f8a52318", "kernel_id": "16847563"}, {"ref": "leolu1998/birds-call-your-name", "kernel_id": "16120493"}, {"ref": "madhuribadhe/bird-clef-audio-data-analysis", "kernel_id": "16170173"}, {"ref": "sakthivelj/birdclef-2021-birdcall-identification", "kernel_id": "16266243"}, {"ref": "percyvelle/bird-competition", "kernel_id": "16450720"}, {"ref": "percyvelle/bird-keras", "kernel_id": "16333403"}, {"ref": "xuxu1234/pytorch-inference-birdclef2021-starter", "kernel_id": "16008947"}, {"ref": "xuxu1234/clean-fast-simple-bird-identifier-inference", "kernel_id": "16302484"}, {"ref": "xuxu1234/efficientnet-b4-b5-train", "kernel_id": "16810210"}, {"ref": "dylanliuofficial/birdclef-mels-computer-d5-256-public-0", "kernel_id": "16937719"}, {"ref": "dylanliuofficial/birdclef-mels-computer-d5-256-public-1", "kernel_id": "16937735"}, {"ref": "dylanliuofficial/birdclef-mels-computer-d5-256-public-2", "kernel_id": "16937747"}, {"ref": "dylanliuofficial/birdclef-mels-computer-d5-256-public-3", "kernel_id": "16937754"}, {"ref": "xuzongniubi/efficientnet-b4-b5-train", "kernel_id": "16898187"}, {"ref": "saztorralba/birdcall-activitydetectorlogmelcnn", "kernel_id": "16244318"}, {"ref": "saztorralba/birdcall-classificationlogmelcnn", "kernel_id": "16264724"}, {"ref": "saztorralba/birdcall-inferencelogmelcnn", "kernel_id": "16344353"}, {"ref": "shtrausslearning/spectogram-broadband-model-peak-identifier", "kernel_id": "16765549"}, {"ref": "shtrausslearning/soundscape-visualisations", "kernel_id": "16285757"}, {"ref": "shtrausslearning/keras-bird-spectogram-multiclass-classification", "kernel_id": "16293901"}, {"ref": "emorkrin/birdclef-spectrum-transfer-learning", "kernel_id": "16946198"}, {"ref": "raoumair98/submission-csv", "kernel_id": "16369452"}, {"ref": "raoumair98/birdsclef", "kernel_id": "16515233"}, {"ref": "surajkumar115/target-variable-and-try-to-do-prediction", "kernel_id": "16078402"}, {"ref": "badmiton/clean-fast-simple-bird-identifier-trainin-e5a16d", "kernel_id": "16814166"}, {"ref": "utpalrudra/a-simple-training-model", "kernel_id": "16545741"}, {"ref": "sykang/clean-fast-simple-bird-identifier-inference", "kernel_id": "16974826"}, {"ref": "dryanfurman/birdclef-eda-and-fastai", "kernel_id": "16984962"}, {"ref": "cpmpml/stft-transformer-infer", "kernel_id": "17757304"}, {"ref": "namakemono/birdclef-train-and-evaluation-pipeline-4f36dd", "kernel_id": "17265241"}, {"ref": "kristjanr/birdclef2021-sample-submission", "kernel_id": "17021521"}, {"ref": "victorasso/birdclef-inference", "kernel_id": "17044880"}, {"ref": "jamshaidsohail5/colab-version-of-pytorch-training-birdclef2021", "kernel_id": "17147059"}, {"ref": "fraank/birdclef-2021-training", "kernel_id": "17229551"}, {"ref": "fraank/birdclef-2021-testing", "kernel_id": "17229715"}, {"ref": "hidehisaarai1213/birdclef2021-infer-between-chunk", "kernel_id": "17376518"}, {"ref": "sishihara/birdclef-2021-inference", "kernel_id": "17341949"}, {"ref": "tattaka/make-month-and-site-mask", "kernel_id": "17130975"}, {"ref": "tattaka/birdclef2021-submissions-pp-ave", "kernel_id": "17107674"}, {"ref": "zzy990106/private-0-66", "kernel_id": "17388749"}, {"ref": "sachinrastogi/limitedbird-identifier-inference-en", "kernel_id": "17176605"}, {"ref": "sachinrastogi/bird2021-training-en-with-limited-birds", "kernel_id": "17163421"}, {"ref": "toratoratora/training-birdclef-2021-pytorch-resnest50", "kernel_id": "17318038"}, {"ref": "stpeteishii/birdclef-2021-audio-detection", "kernel_id": "17256906"}, {"ref": "ilu000/2nd-place-birdclef2021-inference", "kernel_id": "17654058"}, {"ref": "fffrrt/location-and-time-postprocessing-birdclef-2021", "kernel_id": "17388144"}, {"ref": "tanulsingh077/sed-model-tanul-s-version", "kernel_id": "17284343"}, {"ref": "dkrocksup/eda-v1", "kernel_id": "17546354"}, {"ref": "dkrocksup/customcnn", "kernel_id": "17547769"}, {"ref": "dkrocksup/resnest50", "kernel_id": "17260296"}, {"ref": "jt120lz/clean-fast-simple-bird-identifier-inference", "kernel_id": "17060642"}, {"ref": "arunpurakkatt/birds-call-identification", "kernel_id": "17162536"}, {"ref": "mvukovic/birdclef-starter", "kernel_id": "17256308"}, {"ref": "chinmayjain767/npy-file-creation", "kernel_id": "17252880"}, {"ref": "chinmayjain767/h2o-ai-lb-score-1-753", "kernel_id": "17275268"}, {"ref": "rudramanidubey/eda-cnn-and-transfer-learning", "kernel_id": "17392334"}, {"ref": "josephamigo/beware-secondary-labels-can-be-repeated", "kernel_id": "17063935"}, {"ref": "hanson0910/notebookc5e650e273", "kernel_id": "17107160"}, {"ref": "teyosan1229/birdclef-infer-ppno2-3-4-6-7-rex200s-sub", "kernel_id": "17371654"}, {"ref": "teyosan1229/training-birdclef-cnnmodel-public", "kernel_id": "17417645"}, {"ref": "shreyasajal/audio-albumentations-torchaudio-audiomentations", "kernel_id": "17112339"}, {"ref": "shreyasajal/birdclef-librosa-audio-feature-extraction", "kernel_id": "17042836"}, {"ref": "underwearfitting/bird-clef-final-ensemble-v2", "kernel_id": "17367454"}, {"ref": "hashandananjaya/clean-fast-simple-bird-identifier-training-colab", "kernel_id": "17368122"}, {"ref": "virajkadam/birdclef-bird-sound-classification", "kernel_id": "17266457"}, {"ref": "virajkadam/birdclef-inference", "kernel_id": "17355102"}, {"ref": "zekunn/mixup-secondary-label-on-bird-identifier", "kernel_id": "17051095"}, {"ref": "philipkd/inference-with-secondary-labels-0-995", "kernel_id": "17163658"}, {"ref": "philipkd/kneroma-secondary-labels", "kernel_id": "17116140"}, {"ref": "dylanliuofficial/bird-256-rexnet-200-rexnet-150-aug0-25-focalloss1", "kernel_id": "17294720"}, {"ref": "sitigiv962/mixup-adjust-2rd-label-bird-identifier-12-epoch", "kernel_id": "17117677"}, {"ref": "majunfu/clean-fast-simple-bird-identifier", "kernel_id": "17127870"}, {"ref": "kunihikofurugori/final-submission", "kernel_id": "17386570"}, {"ref": "muhammadzubairkhan92/birdclef-2021-librosa-audio-feature-extraction", "kernel_id": "17419460"}, {"ref": "aditimaurya/clustering", "kernel_id": "17309306"}, {"ref": "tobiasbonnesen/birdclef2021-model-training-thesis-baseline", "kernel_id": "17522998"}, {"ref": "gourabroy553/birdclef-2021-birdcall-identification", "kernel_id": "17174399"}, {"ref": "jantuchowski/gsn-projekt-birdcall-tuchdan", "kernel_id": "17057075"}, {"ref": "kellyhu0109/bird-identifier", "kernel_id": "17054692"}, {"ref": "jitshil143/convert-ogg-to-wav", "kernel_id": "20647406"}, {"ref": "sherrynonan/notebook1670cee9be", "kernel_id": "20102234"}, {"ref": "nilaychauhan/convert-cornell-birdcall-recognition-to-tfrecords", "kernel_id": "21158969"}, {"ref": "faizyrana/birdclef2021-bird-species-recognition-using-cnn", "kernel_id": "21584931"}, {"ref": "hihunjin/birdclef-pllightning-flash", "kernel_id": "22771249"}, {"ref": "faizyrana/bird-audio-classification-using-cnn-1", "kernel_id": "22477751"}, {"ref": "naomiding/kkiler-preprocessed-dataset-resnest50d-fold0", "kernel_id": "22521125"}, {"ref": "davidvictor/birdnet", "kernel_id": "23375189"}, {"ref": "tatamikenn/birdclef22-compare-21-and-22-data", "kernel_id": "25543986"}, {"ref": "sagniksanyal/birdclef-2022-torchaudio-audiomentations-skimpy", "kernel_id": "25625685"}, {"ref": "tatamikenn/birdclef21-eda-on-train-soundscape", "kernel_id": "26382605"}, {"ref": "yuxinzhu1121762/research", "kernel_id": "26770102"}, {"ref": "hfutquyi/birdclef-2022-q", "kernel_id": "26519306"}, {"ref": "harishml/bird-species-model-saved-and-inference", "kernel_id": "27719468"}, {"ref": "johnowhitaker/5s-clip-dataset-prep", "kernel_id": "31688928"}, {"ref": "zzy990106/birdclef-21-22-23-species-overlap", "kernel_id": "35875754"}, {"ref": "rachanarn/notebook10", "kernel_id": "35797571"}, {"ref": "awsaf49/birdclef23-pretraining-is-all-you-need-train", "kernel_id": "36187143"}, {"ref": "luanadequeirozgarcia/birdclef2021-bird-species-recognition-using-cnn", "kernel_id": "36000017"}, {"ref": "ollypowell/birdclef-21-22-23-data-cleaning", "kernel_id": "36306442"}, {"ref": "ollypowell/birdclef23-audio-to-numpy", "kernel_id": "36226319"}, {"ref": "ineedacat/data-preprocessing", "kernel_id": "36645196"}, {"ref": "huihuihui12/birdclef-train-efficient", "kernel_id": "36988861"}, {"ref": "aikhmelnytskyy/birdclef23-train-convnext-problem", "kernel_id": "37448978"}, {"ref": "huyhoang333/birdclef-number-of-training-samples-per-species", "kernel_id": "37824628"}, {"ref": "leehann/birdclef-21-2nd-place-model-pretrain", "kernel_id": "37528690"}, {"ref": "debpritamroy/recognition", "kernel_id": "37763837"}, {"ref": "debpritamroy/birdvoicercognition", "kernel_id": "37793316"}, {"ref": "tw000y/stage3", "kernel_id": "37463457"}, {"ref": "huyhoang333/birdclef-2021-1st-place-third-stage-replicate", "kernel_id": "38743624"}, {"ref": "huyhoang333/birdclef-2021-1st-place-third-stage", "kernel_id": "38441882"}, {"ref": "huyhoang333/birdclef-2021-aug-audio-mels-p1", "kernel_id": "38510740"}, {"ref": "debpritamroy/fork-of-birdvoicercognition", "kernel_id": "38010007"}, {"ref": "falconcodes232/ty-mini-project-final-model", "kernel_id": "38580533"}, {"ref": "atsunorifujita/extract-from-kaggle-models", "kernel_id": "39051965"}, {"ref": "kaikhrug/khrugbird-beta", "kernel_id": "39360969"}, {"ref": "huyhoang333/load-melspectrogram", "kernel_id": "39864672"}, {"ref": "mplee30/ph-ng-quan-s-t-ng-ng-nocall", "kernel_id": "39851885"}, {"ref": "hduykhang/birdclef-2021-1st-place-third-stage-b41241", "kernel_id": "39315970"}, {"ref": "arunodhayan/kaggle-ai-report-birdclef-series-2019-2023", "kernel_id": "40118313"}, {"ref": "huyhoang333/birdclef-2021-1st-place-third-stage-ensemblemodel", "kernel_id": "40464061"}, {"ref": "huyhoang333/birdclef-2021-1st-place-third-stagefinetuned10mod", "kernel_id": "40406079"}, {"ref": "huyhoang333/birdclef-2021-1st-place-third-stage-finetune-each", "kernel_id": "40254681"}, {"ref": "mplee30/model10-calculate397dimensions", "kernel_id": "40944659"}, {"ref": "hduykhang/birdclef-2021-1st-place-third-stage-final-noise", "kernel_id": "40964515"}, {"ref": "hduykhang/nocall-for-train-audio", "kernel_id": "40005250"}, {"ref": "hduykhang/birdclef-2021-1st-place-third-stage-finetu-a9f098", "kernel_id": "40327361"}, {"ref": "hduykhang/birdclef-2021-1st-place-third-stage-finetu-182554", "kernel_id": "40327310"}, {"ref": "huyhoang333/birdclef-2021-1st-third-augmented-finetune-each", "kernel_id": "41432597"}, {"ref": "huyhoang333/birdclef20211stplace-3rdnoisereduced10finetunmodel", "kernel_id": "41101065"}, {"ref": "huyhoang333/birdclef-2021-1st-place-third-augmented-model", "kernel_id": "41040099"}, {"ref": "souradippal/birdclef23-pretraining-is-all-you-need-train", "kernel_id": "41372196"}, {"ref": "hduykhang/birdclef-2021-1st-place-third-augmented", "kernel_id": "41458487"}, {"ref": "hduykhang/birdclef-2021-1st-place-third-stage-ensemblemodel", "kernel_id": "41470970"}, {"ref": "mphnglmp/model1-calculate397dimensions", "kernel_id": "41016588"}, {"ref": "mphnglmp/model6-calculate397dimensions", "kernel_id": "41018161"}, {"ref": "mphnglmp/birdclef-2021-1st-third-aug-finetune-each-on-origi", "kernel_id": "41517893"}, {"ref": "greentunic/birdclef-2021-1st-third-augmented-finetune-each", "kernel_id": "41448378"}, {"ref": "kejunkang/birdclef-21-2nd-place-model-pretrain", "kernel_id": "43758674"}, {"ref": "dmitryzaykov/birdclef-2021-train-efficientnet-bo-kfold", "kernel_id": "45599196"}, {"ref": "dmitryzaykov/birdclef-2021-identifier-efficientnet-bo-and-kfold", "kernel_id": "45594063"}, {"ref": "halilbrahimhatun/birdclef-audio-feature-extraction-with-librosa", "kernel_id": "45258964"}, {"ref": "christian02tw/cd-birdclef-train-and-evaluation-pipeline-4f36dd", "kernel_id": "45107242"}, {"ref": "foreveralove/8304-oblizanov-bird-resnet", "kernel_id": "46043721"}, {"ref": "alexandrpanarin/lab2-1", "kernel_id": "46146203"}, {"ref": "alexandrpanarin/lab-2", "kernel_id": "46083939"}, {"ref": "daniilzuevv/birdclef-2021-birdcall-identification", "kernel_id": "46461811"}, {"ref": "angamber/khassanov-lab-2", "kernel_id": "46415889"}, {"ref": "yuminchiang/bird-audio-identification", "kernel_id": "46722908"}, {"ref": "shustikovvladislav/notebook441da02420", "kernel_id": "47986966"}, {"ref": "blackjacl/yakushev-lab-2-test-version-2", "kernel_id": "47244438"}, {"ref": "artyomlukyanov/lukyanov-8307-lab2", "kernel_id": "47851013"}, {"ref": "ilyabatalev/notebook9528be2b30", "kernel_id": "47816362"}, {"ref": "jeremienguyen/notebookbd39945d8d", "kernel_id": "48131330"}, {"ref": "tkachevigor/8307-2-models", "kernel_id": "48409498"}, {"ref": "tkachevigor/8307-2-birds", "kernel_id": "48415374"}, {"ref": "chiranjivihole/birds-voice-recognition", "kernel_id": "50020163"}, {"ref": "anaellendpsilva/birdclassification-with-cnn-and-lstm", "kernel_id": "50332066"}, {"ref": "devapaul/bridaudio-cnn", "kernel_id": "51160256"}, {"ref": "agnivoag/birdclef-eda", "kernel_id": "52248421"}, {"ref": "ashokkumarbibbab/birds-classification-in-rfc-model-accuracy-87", "kernel_id": "53934982"}, {"ref": "aikhmelnytskyy/birdclef24-pretraining-is-all-you-need", "kernel_id": "54066587"}, {"ref": "seydifaye/spec-birdclef-2024-train-cnn-train", "kernel_id": "54271724"}, {"ref": "saarthakverma/bird-sound-detection", "kernel_id": "54494991"}, {"ref": "followjohn/birdclef-2024-inference-notebook", "kernel_id": "55789109"}, {"ref": "yuxintong/lilydraft", "kernel_id": "55160404"}, {"ref": "santiagogomezortega/wavelet-dataloader", "kernel_id": "56635559"}, {"ref": "aryanherur/birdclef2021-model-training", "kernel_id": "56245484"}, {"ref": "liuyixijia/birdclef24-pretraining-is-all-you-need909909", "kernel_id": "58640705"}, {"ref": "liuyixijia/birdclef24-ikun-pretraining-is-all-you-need-002", "kernel_id": "58517400"}, {"ref": "liuyixijia/909birdclef24-ikun-pretraining-is-all-you-nee", "kernel_id": "58690764"}, {"ref": "liuyixijia/fork-of-909birdclef24-ikun-pretraining-is-all-you", "kernel_id": "58724351"}, {"ref": "wengsilu/newbirdclef24pretraining", "kernel_id": "58975535"}, {"ref": "skanderkaroui/birdclef24-skander-s-attempt-train", "kernel_id": "58535798"}, {"ref": "followjohn/birdclef-2024-training", "kernel_id": "59167933"}, {"ref": "rijulraman/it204-project", "kernel_id": "66546346"}, {"ref": "vishnubhattacharya/goose", "kernel_id": "68474202"}, {"ref": "romankovtun/lab2-cnn", "kernel_id": "70257621"}, {"ref": "ayupovrenat/py-test", "kernel_id": "70192068"}, {"ref": "tdk21111011101001/lab2-nikolaenko", "kernel_id": "70709847"}, {"ref": "kucjiothbi1/notebook6058adcc45", "kernel_id": "70185424"}, {"ref": "kucjiothbi1/notebookdc3d6a89da", "kernel_id": "70266995"}, {"ref": "mariasorochina/sa-lw-2-smv", "kernel_id": "71074463"}, {"ref": "kazantsevalexandr/9307-kazantsev-lab2", "kernel_id": "71160962"}, {"ref": "sergeystud/tinyakov-lab2", "kernel_id": "71561551"}, {"ref": "matmanbj/9307-sobolevms-lab-2", "kernel_id": "71179980"}, {"ref": "eldarabibulaev/abibulaev-lab2", "kernel_id": "72137398"}, {"ref": "vamshivasala/project1", "kernel_id": "73038717"}, {"ref": "mminullin/minullinlab2", "kernel_id": "75480138"}, {"ref": "seshurajup/birdclef-2020-2025-all-training-extra-npy-dataset", "kernel_id": "78317615"}, {"ref": "defined/iml-training-experimentation", "kernel_id": "81242150"}, {"ref": "defined/iml-active-learning-loop", "kernel_id": "81372887"}, {"ref": "scararsmartnez/modelo-9-efficientnet-fine-tunning", "kernel_id": "82680902"}, {"ref": "niket47/birdclef-2025-using-efficient-v2", "kernel_id": "86123633"}, {"ref": "ruslantemirtassov/ruslan", "kernel_id": "97128235"}, {"ref": "alqid12/0304-tupakhin-lab2", "kernel_id": "98615324"}, {"ref": "michaelzhegalin/zhegalin-lab2", "kernel_id": "99322229"}, {"ref": "alekseysavinov/sound-2-eval", "kernel_id": "100676094"}, {"ref": "alekseysavinov/sound-2-train", "kernel_id": "100150979"}, {"ref": "alekseysavinov/sound-2-mels-prepare", "kernel_id": "100202772"}, {"ref": "massivebrain/am-belov-lab2", "kernel_id": "100767818"}, {"ref": "valeriafurina/lab2-furina", "kernel_id": "100213131"}, {"ref": "irinamay/sva-lr2-submission", "kernel_id": "100818386"}, {"ref": "irinamay/sva-lr2-train", "kernel_id": "100730970"}, {"ref": "alexanderarchon/fedotov-lab2-resnest", "kernel_id": "100669911"}, {"ref": "christianamegee/sound-processing-2", "kernel_id": "100172861"}, {"ref": "mohammadkherbek/2-0304", "kernel_id": "100926290"}, {"ref": "pankoivan0307/lab2-pankoivan0307", "kernel_id": "100660513"}, {"ref": "alexeagle1535/lr2-orloval-0307", "kernel_id": "102653425"}, {"ref": "vadimnechaevs/nechaev-vadim-2381-2", "kernel_id": "102357827"}, {"ref": "danieltirael/zhinkindaniil-2311-lab2", "kernel_id": "103243748"}, {"ref": "pipopolam/2307-levushkina-lab2", "kernel_id": "103094901"}, {"ref": "sarajkinalex/saraikin-alex-2372-2", "kernel_id": "103640828"}, {"ref": "fur911/2310-idirov-ak-lab2", "kernel_id": "103022808"}, {"ref": "k4th4ros/birds-v2-0", "kernel_id": "104569950"}, {"ref": "nikitapodkidish/karpiy-lab2", "kernel_id": "104554443"}, {"ref": "zukenaiberkimbay/berkimbay-0304", "kernel_id": "104557177"}, {"ref": "ahmed199raiz0/gomaa-lb2-0304", "kernel_id": "104586976"}, {"ref": "maximolifer/2311-olifer-lab2", "kernel_id": "105573939"}, {"ref": "purtovnm/2311purtovlab2", "kernel_id": "105614820"}, {"ref": "thedronny/sva-pravdin-2", "kernel_id": "107452508"}, {"ref": "shmlvssh/birds-shumilov-aleksandr-2304", "kernel_id": "108189435"}, {"ref": "martinaolivato/baseline-training-kerascv", "kernel_id": "115819856"}, {"ref": "samithsachidanandan/transforming-audio-to-mel-spec-birdclef-26", "kernel_id": "117308412"}, {"ref": "martinaolivato/stage-3-multi-stage-pretraining-kerascv", "kernel_id": "117513516"}, {"ref": "martinaolivato/stage-2-multi-stage-pretraining-kerascv", "kernel_id": "117512837"}, {"ref": "samejimatink0/birdclef-2026-hgnetv2-b0-pretrain", "kernel_id": "120653190"}, {"ref": "martinaolivato/stage-4-multi-stage-pretraining-sed", "kernel_id": "120878009"}, {"ref": "vhanmm/bclassifymonster", "kernel_id": "120851121"}, {"ref": "jennyyila/notebook149927cb53", "kernel_id": "127832628"}, {"ref": "jennyyila/yamnet-frozen-lightgbm-export", "kernel_id": "127981643"}, {"ref": "jaysonchen1997/bird-jayson-fastai", "kernel_id": "127622565"}, {"ref": "sachalafargue/projet-oiseau", "kernel_id": "135815364"}]}
{"competition_id": "25964", "kernels": [{"ref": "manuelopez/hands-on-manuel", "kernel_id": "15344339"}, {"ref": "luismanuelgmezsnchez/notebook-luis", "kernel_id": "15470596"}, {"ref": "elvirasegarra/notebook-elvira", "kernel_id": "15258947"}, {"ref": "daniellopezs/notebook-daniel", "kernel_id": "15479514"}, {"ref": "marielabidondo/mariela", "kernel_id": "16294694"}, {"ref": "noelialibrerodelgado/notebook-noelia", "kernel_id": "16267695"}]}
{"competition_id": "25974", "kernels": []}
{"competition_id": "25980", "kernels": [{"ref": "ateplyuk/human-trafficking-2021-baseline", "kernel_id": "15448630"}, {"ref": "preeyonujb1/hotel-id-basic-eda", "kernel_id": "15811578"}, {"ref": "tpmeli/hotel-id-tf-keras-efficientnet-starter", "kernel_id": "15605703"}, {"ref": "ktncktnc/hotel-id-tf-keras-efficientnet-starter", "kernel_id": "15974639"}, {"ref": "drcapa/human-trafficking-2021-starter", "kernel_id": "15444736"}, {"ref": "zaber666/human-trafficking-basic-eda-data-analysis", "kernel_id": "15441275"}, {"ref": "dimakyn/find-room", "kernel_id": "15642084"}, {"ref": "mohammadasimbluemoon/hotel-id-to-combat-human-trafficking-gpu", "kernel_id": "15830095"}, {"ref": "shanmukh05/combat-human-trafficking-2k21-tpu-training", "kernel_id": "15580410"}, {"ref": "slytherin/brief-exploratory-data-analysis", "kernel_id": "15440652"}, {"ref": "confirm/hotelid-kohei", "kernel_id": "16995795"}, {"ref": "michaln/hotel-id-arcmargin-training", "kernel_id": "16536784"}, {"ref": "michaln/hotel-id-inference", "kernel_id": "16491893"}, {"ref": "michaln/hotel-id-eda-with-plotly", "kernel_id": "16117630"}, {"ref": "michaln/hotel-id-preprocess-images", "kernel_id": "16208663"}, {"ref": "alexgomes3/lxkaggle-hotelid-eda", "kernel_id": "16308367"}, {"ref": "arnabdey/notebook85c071744a", "kernel_id": "16020824"}, {"ref": "alenic/discover-rotation", "kernel_id": "16489907"}, {"ref": "joatom/fgvc8-hotel-ensemble-inference", "kernel_id": "16939773"}, {"ref": "ktncktnc/submit-effnet", "kernel_id": "16080960"}, {"ref": "adhiau/combat-human-trafficking", "kernel_id": "16983696"}, {"ref": "eugenehu/tpu-accelerated-keras-approach-tutorial", "kernel_id": "16725744"}, {"ref": "anjrash/batchall-baseline-hotelid", "kernel_id": "16225847"}, {"ref": "liwilliam/notebook6b9555902d", "kernel_id": "16936692"}, {"ref": "liwilliam/image-prediction-function", "kernel_id": "16994986"}, {"ref": "yemaneyohannes/notebook6b9555902d", "kernel_id": "16979022"}, {"ref": "codyjm/notebookdc31f2feaf", "kernel_id": "16960658"}, {"ref": "codyjm/notebook6b9555902d", "kernel_id": "16954777"}, {"ref": "cancan077/kc-hotel-id-to-combat-human-trafficking-2021", "kernel_id": "16056009"}, {"ref": "michaln/hotel-id-classification-training", "kernel_id": "17277789"}, {"ref": "michaln/hotel-id-cosface-training", "kernel_id": "17277854"}, {"ref": "andreitapch/hotel-id-fastai", "kernel_id": "17061491"}, {"ref": "andreitapch/hotel-id-chain", "kernel_id": "17476661"}, {"ref": "andreitapch/hotel-id-hotel-category", "kernel_id": "17479076"}, {"ref": "andreitapch/hotelid-model-per-chain", "kernel_id": "17597122"}, {"ref": "andreitapch/hotel-id-data-distribution", "kernel_id": "17584130"}, {"ref": "joatom/hotel-inference-fastai", "kernel_id": "17161638"}, {"ref": "joatom/hotel-train-fastai-densnet161", "kernel_id": "17152053"}, {"ref": "jamesriley/detect-suspected-traffickers-hotel-usage", "kernel_id": "17118876"}, {"ref": "chavoutierflorent/find-room", "kernel_id": "18360374"}, {"ref": "ayushv23/training-of-resnet50-8", "kernel_id": "20504027"}, {"ref": "blurred8216/human-trafficking-basic-eda-data-analysis", "kernel_id": "25126379"}, {"ref": "kusum143/combat-human-trafficking", "kernel_id": "25111970"}, {"ref": "gidoverheijen/training-notebook", "kernel_id": "26765771"}, {"ref": "atikulislambipu/atikul-islam", "kernel_id": "39885223"}]}
{"competition_id": "25981", "kernels": []}
{"competition_id": "25983", "kernels": []}
{"competition_id": "25984", "kernels": [{"ref": "elmoreleonard/baseline", "kernel_id": "15033983"}, {"ref": "ibukihirakawa/baseline-res50", "kernel_id": "15264342"}, {"ref": "ibukihirakawa/baseline-xception", "kernel_id": "15194046"}]}
{"competition_id": "25990", "kernels": []}
{"competition_id": "25991", "kernels": []}
{"competition_id": "25993", "kernels": []}
{"competition_id": "26000", "kernels": []}
{"competition_id": "26001", "kernels": []}
{"competition_id": "26002", "kernels": []}
{"competition_id": "26035", "kernels": []}
{"competition_id": "26036", "kernels": []}
{"competition_id": "26045", "kernels": []}
{"competition_id": "26046", "kernels": []}
{"competition_id": "26049", "kernels": []}
{"competition_id": "26050", "kernels": []}
{"competition_id": "26051", "kernels": []}
{"competition_id": "26069", "kernels": [{"ref": "ssegui/notebook2ccd061e39", "kernel_id": "15109275"}]}
{"competition_id": "26074", "kernels": []}
{"competition_id": "26078", "kernels": []}
{"competition_id": "26079", "kernels": [{"ref": "khoongweihao/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "7990667"}, {"ref": "paulorzp/scrape-kenpom-data-2022-final", "kernel_id": "8032490"}, {"ref": "paulorzp/kenpom-scraper-2021", "kernel_id": "8033764"}, {"ref": "anshumoudgil/basketball-2020-vectors-feature-engg-strategy", "kernel_id": "9194709"}, {"ref": "scirpus/jeepy-2021", "kernel_id": "15248398"}, {"ref": "mmotoki/women-s-march-madness-2021-leaderboard-analyzer", "kernel_id": "15245116"}, {"ref": "mmotoki/men-s-march-madness-2021-leaderboard-analyzer", "kernel_id": "15241787"}, {"ref": "tunguz/ncaam-2021-h2o-automl", "kernel_id": "15457034"}, {"ref": "tunguz/2021-ncaam-tournament-rapids-starter", "kernel_id": "15180656"}, {"ref": "tunguz/ncaam-2021-feature-importance-w-gpu-xgboost-shap", "kernel_id": "15198104"}, {"ref": "tunguz/ncaam-2021-features-only", "kernel_id": "15197743"}, {"ref": "tunguz/ncaam-2021-histgradientboosting-starter", "kernel_id": "15236643"}, {"ref": "tnmasui/ncaam-2021-lgb-w-fe-on-three-datasets", "kernel_id": "15164698"}, {"ref": "paulorzp/massey-s-ordinals-with-bracket-of-stage2", "kernel_id": "15203455"}, {"ref": "davidmezzetti/seed-based-model-risks-in-2021", "kernel_id": "15475416"}, {"ref": "davidmezzetti/picking-an-upset", "kernel_id": "15490751"}, {"ref": "rdekou/random-forest-with-h2o", "kernel_id": "15330675"}, {"ref": "byfone/ncaa-m-2021-logistic-regression", "kernel_id": "15226875"}, {"ref": "shams1/ncaam", "kernel_id": "15320861"}, {"ref": "mlconsult/ncaa-2019-top-5-solutions", "kernel_id": "15347540"}, {"ref": "marginalreturns/create-training-set-with-four-factor-stats-2021", "kernel_id": "15460055"}, {"ref": "utresearch/kenpom-and-play-by-play-scraper-r", "kernel_id": "15494781"}, {"ref": "utresearch/visualize-your-predictions", "kernel_id": "15545096"}, {"ref": "utresearch/stage-2-submission-file-assumed-format", "kernel_id": "15543492"}, {"ref": "jaseziv83/yearly-full-ncaa-men-s-ball-r-analysis", "kernel_id": "15185430"}, {"ref": "lucabasa/march-madness-model-validation-strategies", "kernel_id": "15248869"}, {"ref": "lucabasa/quick-eda-with-common-feature-engineering", "kernel_id": "15225851"}, {"ref": "akhilgupta/randomforest-with-imputations", "kernel_id": "15342269"}, {"ref": "kamalnaithani/ncaam-simple-model-copy", "kernel_id": "15181790"}, {"ref": "prashantkikani/ncaam-2021-diverse-model-ensemble", "kernel_id": "15441458"}, {"ref": "rsa013/men-s-ncaa-modeling-expectations", "kernel_id": "15395555"}, {"ref": "billbafare/ncaaw", "kernel_id": "15583831"}, {"ref": "billbafare/ncaam", "kernel_id": "15579726"}, {"ref": "theoviel/2nd-place-ncaaw-2021", "kernel_id": "15670825"}, {"ref": "theoviel/ncaa-starter-the-simpler-the-better", "kernel_id": "15173123"}, {"ref": "dhananjay3/ncaam-2021-eda-all-you-need-to-know", "kernel_id": "15168807"}, {"ref": "christianl/christian-ncaam-march-mania", "kernel_id": "15728300"}, {"ref": "njbultman/top-10-submission-ncaam-march-madness-2021", "kernel_id": "15291946"}, {"ref": "o93333/ncaam-old", "kernel_id": "15334819"}, {"ref": "pratt3000/2019-best-score", "kernel_id": "15415482"}, {"ref": "muskan2006/ncaam-feature-engineering-and-xgboost", "kernel_id": "15492280"}, {"ref": "muskan2006/ncaaw-feature-engineering-and-xgboost", "kernel_id": "15627270"}, {"ref": "santohide/about-evaluation-simple-model-fors2", "kernel_id": "15338060"}, {"ref": "catadanna/delete-leaked-data-nccam-2021", "kernel_id": "15174855"}, {"ref": "catadanna/kaggle-ncaam-2021", "kernel_id": "15164082"}, {"ref": "mohamed3abdelrazik/ncaa-starter-the-simpler-the-better", "kernel_id": "15181989"}, {"ref": "cekohlbrenner/ncaam-feature-engineering-and-modeling", "kernel_id": "15304493"}, {"ref": "junichiromorita/ncaam-2021-eda-english-japanese", "kernel_id": "15194543"}, {"ref": "readoc/ncaam-prediction-v4-stage-2", "kernel_id": "15602447"}, {"ref": "readoc/ncaaw-prediction-stage-2", "kernel_id": "15488273"}, {"ref": "readoc/using-external-data", "kernel_id": "15544070"}, {"ref": "readoc/strategies-to-improve-your-score-men", "kernel_id": "15545480"}, {"ref": "readoc/ncaaw-predictions-h20", "kernel_id": "15518875"}, {"ref": "readoc/ncaam-predictions-v2", "kernel_id": "15297771"}, {"ref": "readoc/ncaam-prediction-stage-2", "kernel_id": "15393634"}, {"ref": "readoc/ncaam-prediction-v3", "kernel_id": "15439184"}, {"ref": "readoc/ncaaw-prediction-v3", "kernel_id": "15439458"}, {"ref": "colinsiles/march-madness-augmented-stat-generation", "kernel_id": "15733092"}, {"ref": "robertcurrie/ncaam-player-team-stats-scraping", "kernel_id": "15216189"}, {"ref": "timsereno/ncaam-march-mania-2021", "kernel_id": "15462357"}, {"ref": "pwang001/march-madness-prediction-test-seed-only", "kernel_id": "15495616"}, {"ref": "pwang001/march-machine-learning-mania-2021-ncaaw-lightgbm", "kernel_id": "15674813"}, {"ref": "pwang001/march-madness-prediction-test-id-only", "kernel_id": "15354841"}, {"ref": "susheelpatel/m-ncaa-first-simple-submission", "kernel_id": "15609376"}, {"ref": "imoore/2019-1st-solution-with-parameter-optimization", "kernel_id": "15361703"}, {"ref": "kenjee/simple-simulation-elo-rating-approach", "kernel_id": "15620754"}, {"ref": "svyatoslavsokolov/2021-ncaam-first-step-v-3-stage-2", "kernel_id": "15272136"}, {"ref": "omarhammemi/man-challenge-89385b", "kernel_id": "15561959"}, {"ref": "gaetanlopez/kenpom-2021-with-teamid-scrapper-python", "kernel_id": "15519895"}, {"ref": "gaetanlopez/kenpom-pre-tournament-data-scraper", "kernel_id": "15437028"}, {"ref": "subbugalam/ncaam-simplified", "kernel_id": "15220770"}, {"ref": "ishisakitaiki/japanese-lgb-modeling-on-several-correlated-val", "kernel_id": "15344112"}, {"ref": "muhammadzubairkhan92/quick-eda-with-common-feature-engineering", "kernel_id": "15316604"}, {"ref": "hareem23/ncaam-2021-eda-all-you-need-to-know", "kernel_id": "15363564"}, {"ref": "sh0wmaker/predict1", "kernel_id": "15357298"}, {"ref": "sh0wmaker/how-to-solve-indexerror-update", "kernel_id": "15359847"}, {"ref": "vincentaudigier/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "17858446"}, {"ref": "santhiyar/day-30", "kernel_id": "20261222"}, {"ref": "selvadharani/day-26", "kernel_id": "20276679"}, {"ref": "thbalaji/day-26", "kernel_id": "20341674"}, {"ref": "kalilurrahman/2022-march-mania-quick-eda-fe", "kernel_id": "24804326"}]}
{"competition_id": "26080", "kernels": [{"ref": "khoongweihao/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "7990667"}, {"ref": "anshumoudgil/basketball-2020-vectors-feature-engg-strategy", "kernel_id": "9194709"}, {"ref": "scirpus/jeepy-w-2021", "kernel_id": "15248921"}, {"ref": "mmotoki/women-s-march-madness-2021-leaderboard-analyzer", "kernel_id": "15245116"}, {"ref": "tunguz/ncaaw-2021-h2o-automl", "kernel_id": "15457094"}, {"ref": "tunguz/ncaaw-2021-histgradientboosting-starter", "kernel_id": "15237491"}, {"ref": "tunguz/2021-ncaaw-tournament-rapids-starter", "kernel_id": "15177100"}, {"ref": "tunguz/ncaaw-2021-features-only", "kernel_id": "15199082"}, {"ref": "tunguz/ncaaw-2021-feature-importance-w-gpu-xgboost-shap", "kernel_id": "15199280"}, {"ref": "tunguz/team-rankings-with-rapids-and-cugraph", "kernel_id": "15997290"}, {"ref": "tnmasui/ncaaw-2021-lgb-w-fe-on-three-datasets", "kernel_id": "15164877"}, {"ref": "rdekou/random-forest-with-h2o-simple-fast-efficient", "kernel_id": "15284150"}, {"ref": "byfone/ncaa-w-2021-linear-regression", "kernel_id": "15225971"}, {"ref": "lucabasa/march-madness-model-validation-strategies", "kernel_id": "15248869"}, {"ref": "lucabasa/quick-eda-with-common-feature-engineering", "kernel_id": "15225851"}, {"ref": "kamalnaithani/lightgbm-xgboost-starter", "kernel_id": "15182228"}, {"ref": "hamditarek/2021-ncaaw-basketball-tournament-lightgbm", "kernel_id": "15164593"}, {"ref": "billbafare/ncaaw", "kernel_id": "15583831"}, {"ref": "theoviel/2nd-place-ncaaw-2021", "kernel_id": "15670825"}, {"ref": "theoviel/ncaa-starter-the-simpler-the-better", "kernel_id": "15173123"}, {"ref": "o93333/ncaaw-2021", "kernel_id": "15209737"}, {"ref": "muskan2006/ncaaw-feature-engineering-and-xgboost", "kernel_id": "15627270"}, {"ref": "yukiregista/calculatewinproba", "kernel_id": "15423587"}, {"ref": "santohide/about-evaluation-simple-model-for-woman", "kernel_id": "15425600"}, {"ref": "catadanna/delete-leaked-data-nccaw-2021", "kernel_id": "15174949"}, {"ref": "mohamed3abdelrazik/ncaa-starter-the-simpler-the-better", "kernel_id": "15181989"}, {"ref": "srilakshminalla/ncaaw-predictions-h20", "kernel_id": "15525139"}, {"ref": "jbomitchell/110-salma-moore", "kernel_id": "15411101"}, {"ref": "omkarkawatgi/ncaaw-catboost-lightgbm", "kernel_id": "15387514"}, {"ref": "readoc/ncaaw-prediction-stage-2", "kernel_id": "15488273"}, {"ref": "readoc/how-to-improve-your-score-stage-2", "kernel_id": "15544665"}, {"ref": "readoc/strategies-to-improve-your-score-men", "kernel_id": "15545480"}, {"ref": "readoc/ncaaw-predictions-h20", "kernel_id": "15518875"}, {"ref": "readoc/ncaaw-prediction-v3", "kernel_id": "15439458"}, {"ref": "pwang001/march-machine-learning-mania-2021-ncaaw-lightgbm", "kernel_id": "15674813"}, {"ref": "imoore/2019m-1st-solution-with-parameter-optimization", "kernel_id": "15361735"}, {"ref": "svyatoslavsokolov/simple-submission-visualization", "kernel_id": "15675137"}, {"ref": "svyatoslavsokolov/2021-ncaaw-first-step-v-3-stage-2-visualization", "kernel_id": "15273346"}, {"ref": "omarhammemi/gradientboosting-with-h2o", "kernel_id": "15560992"}, {"ref": "muhammadzubairkhan92/quick-eda-with-common-feature-engineering", "kernel_id": "15316604"}, {"ref": "tunguz/2019-1st-solution-features-only", "kernel_id": "16096988"}, {"ref": "aburkard/4th-place-solution", "kernel_id": "16028000"}, {"ref": "vincentaudigier/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "17858446"}, {"ref": "santhiyar/day-29-task", "kernel_id": "20238662"}, {"ref": "thbalaji/day-26", "kernel_id": "20341674"}, {"ref": "kalilurrahman/2022-march-mania-quick-eda-fe", "kernel_id": "24804326"}]}
{"competition_id": "26082", "kernels": [{"ref": "khoongweihao/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "7990667"}, {"ref": "anshumoudgil/basketball-2020-vectors-feature-engg-strategy", "kernel_id": "9194709"}, {"ref": "tunguz/2021-ncaaw-spread-rapids-starter", "kernel_id": "15292736"}, {"ref": "lucabasa/march-madness-model-validation-strategies", "kernel_id": "15248869"}, {"ref": "lucabasa/quick-eda-with-common-feature-engineering", "kernel_id": "15225851"}, {"ref": "ruchi798/mmlm-2021-ncaaw-spread-w-b-integration", "kernel_id": "15189564"}, {"ref": "jbomitchell/salma-moore-boyd-probability-inversion", "kernel_id": "15767257"}, {"ref": "shellymathur/basketball-seedrf", "kernel_id": "15475832"}, {"ref": "muhammadzubairkhan92/quick-eda-with-common-feature-engineering", "kernel_id": "15316604"}, {"ref": "joergdietrich/first-place-winning-solution", "kernel_id": "16016545"}, {"ref": "vincentaudigier/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "17858446"}, {"ref": "santhiyar/day-22-task", "kernel_id": "19961267"}, {"ref": "selvadharani/day-22", "kernel_id": "20062688"}, {"ref": "thbalaji/day-26", "kernel_id": "20341674"}, {"ref": "kalilurrahman/2022-march-mania-quick-eda-fe", "kernel_id": "24804326"}, {"ref": "realvisheshbhardawaj/ncaaw-submission", "kernel_id": "107292715"}, {"ref": "rsa013/mmlm-solution-2026", "kernel_id": "112194299"}]}
{"competition_id": "26083", "kernels": [{"ref": "khoongweihao/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "7990667"}, {"ref": "anshumoudgil/basketball-2020-vectors-feature-engg-strategy", "kernel_id": "9194709"}, {"ref": "tunguz/2021-ncaam-spread-rapids-starter", "kernel_id": "15292411"}, {"ref": "jaseziv83/yearly-full-ncaa-men-s-ball-r-analysis", "kernel_id": "15185430"}, {"ref": "lucabasa/march-madness-model-validation-strategies", "kernel_id": "15248869"}, {"ref": "lucabasa/quick-eda-with-common-feature-engineering", "kernel_id": "15225851"}, {"ref": "docxian/ncaam-scores-eda-and-baseline-model", "kernel_id": "15175778"}, {"ref": "catadanna/kaggle-ncaam-spread-2021", "kernel_id": "15172896"}, {"ref": "ironicninja/simple-nn-for-march-madness-predictions", "kernel_id": "15500116"}, {"ref": "ironicninja/generate-a-march-madness-bracket", "kernel_id": "15594804"}, {"ref": "hackspyder/ncaam-data-visualization", "kernel_id": "15206038"}, {"ref": "muhammadzubairkhan92/quick-eda-with-common-feature-engineering", "kernel_id": "15316604"}, {"ref": "osmavenind/test1-ncaam-spread", "kernel_id": "15215627"}, {"ref": "jonathonchasteen/498-project-ncaam21", "kernel_id": "15682552"}, {"ref": "colepack/498-project-ncaam21", "kernel_id": "16069933"}, {"ref": "vincentaudigier/ncaam2020-2021-xgboost-lightgbm-k-fold", "kernel_id": "17858446"}, {"ref": "thbalaji/day-26", "kernel_id": "20341674"}, {"ref": "kalilurrahman/2022-march-mania-quick-eda-fe", "kernel_id": "24804326"}, {"ref": "shauryavats21/ncaam-spread", "kernel_id": "41229504"}]}
{"competition_id": "26089", "kernels": []}
{"competition_id": "26101", "kernels": []}
{"competition_id": "26102", "kernels": [{"ref": "mrgeislinger/starter-ft011121-phase2-comp", "kernel_id": "15139383"}, {"ref": "mrgeislinger/linear-regression-walkthrough-ft011121-competiton", "kernel_id": "15182678"}]}
{"competition_id": "26110", "kernels": [{"ref": "bernardoco/introml-notebook", "kernel_id": "15160992"}]}
{"competition_id": "26124", "kernels": []}
{"competition_id": "26132", "kernels": [{"ref": "sharadchitlangia/2017a8ps0472g-minor-project-ml", "kernel_id": "15501833"}, {"ref": "enigma0160/2018a7ps0227g", "kernel_id": "15379937"}, {"ref": "ktcharsh/2018a4ps0523g", "kernel_id": "15435291"}, {"ref": "nandishchheda301/2018a7ps0113g-1", "kernel_id": "15457705"}, {"ref": "ameyalaad/xgboosted", "kernel_id": "15421064"}, {"ref": "ayushkr314/2018a8ps0823g", "kernel_id": "15427479"}, {"ref": "f20180415/2018a8ps0415g", "kernel_id": "15455868"}, {"ref": "f20180415/2018aps0415g", "kernel_id": "15436262"}, {"ref": "harshnigam/2019a1ps0848g", "kernel_id": "15453375"}, {"ref": "viditlohia/2017b3a70632g", "kernel_id": "15455299"}, {"ref": "adityabidwai/2018aaps0388g", "kernel_id": "15447036"}, {"ref": "shobhit4/2018a8ps0417g-2", "kernel_id": "15390566"}, {"ref": "shobhit4/2018a8ps0417g-3", "kernel_id": "15422869"}, {"ref": "shobhit4/2018a8ps0417g", "kernel_id": "15456978"}, {"ref": "kushalshah1503/2018a7ps0254g", "kernel_id": "15404809"}, {"ref": "hethsheth/2018a7ps0110g-ml-minor-project", "kernel_id": "15476194"}, {"ref": "nrupeshsurya/2017b2a70767g", "kernel_id": "15423716"}, {"ref": "asadhazariwala/2017b3a70774g", "kernel_id": "15455481"}, {"ref": "nandanms/2017b4a70657g", "kernel_id": "15468437"}, {"ref": "f20180199/2018a7ps0199g", "kernel_id": "15395718"}, {"ref": "devanshushah24/2018a7ps0240g-ml-minor-project", "kernel_id": "15345115"}, {"ref": "f20180223/2018a7ps0223g", "kernel_id": "15433906"}, {"ref": "meetkshah/submission3", "kernel_id": "15427693"}, {"ref": "pranjal2018a7ps0211g/2018a7ps0211gml", "kernel_id": "15446962"}, {"ref": "aryanagarwal30/2019aaps0318g", "kernel_id": "15404749"}, {"ref": "arohidureja/notebook-arohi", "kernel_id": "15442165"}, {"ref": "boooyaa/neural-network-try", "kernel_id": "15628455"}, {"ref": "boooyaa/2018a7ps0215g-minor-project", "kernel_id": "15475676"}, {"ref": "gayakonda/2017a7ps1921g", "kernel_id": "15453594"}, {"ref": "harshvardhanwalia/2017b4a71027g", "kernel_id": "15348148"}, {"ref": "abhivandangandhi/notebook4ad2e2df21", "kernel_id": "15423883"}, {"ref": "vishalamberrevanur/2018a7ps1018g", "kernel_id": "15384822"}, {"ref": "dangeadityan/2018a4ps0578g", "kernel_id": "15435077"}, {"ref": "vezcraz/2017b3a70483g", "kernel_id": "15470731"}, {"ref": "f20180239g/2018a7ps0239g", "kernel_id": "15448403"}, {"ref": "f20180239g/2018a7ps0239g-2", "kernel_id": "15455529"}, {"ref": "jasdeeps1ngh/2017b4a30748g", "kernel_id": "15456671"}, {"ref": "jasdeeps1ngh/2017b4a30748g-1", "kernel_id": "15415169"}, {"ref": "shanmukhaadityav/2018a7ps0688g", "kernel_id": "15443783"}, {"ref": "chetankhanna22/2017b4a70591g", "kernel_id": "15383179"}, {"ref": "arjunbajpai2000/2018a7ps0182g-minor-project", "kernel_id": "15397399"}, {"ref": "akashgudi/akashgudi2019a4ps1009g", "kernel_id": "15456965"}, {"ref": "vybhavjayasankar/2018a7ps0152g", "kernel_id": "15406679"}, {"ref": "ashwanisingh0932/2017a7ps0932g", "kernel_id": "15433535"}, {"ref": "f20170223/2017aaps0223g", "kernel_id": "15393109"}, {"ref": "shashwatavasthi/2017a3ps0459g", "kernel_id": "15469409"}, {"ref": "bitsg2017a7ps0928g/2017a7ps0928g", "kernel_id": "15448037"}, {"ref": "tusharmaloo/minor-project-tushar-lr", "kernel_id": "15425276"}, {"ref": "vpkiran/2018a7ps0413g", "kernel_id": "15430216"}, {"ref": "id2017a8ps0617g/2017a8ps0617g", "kernel_id": "15448105"}, {"ref": "ib0356/2017aaps0356g-notebook1", "kernel_id": "15456987"}, {"ref": "praffullatripathi/2017a7ps0933g", "kernel_id": "15433243"}, {"ref": "tr4gedy/2017a7ps0091g", "kernel_id": "15448576"}, {"ref": "abhinavbasu/fork-of-fork-of-fork-of-notebookcef63aac6e-dfa118", "kernel_id": "15457278"}, {"ref": "f20170576/2017b4a70576g-ml-minor-project", "kernel_id": "15477187"}, {"ref": "f20170576/2017b4a70576g", "kernel_id": "15477138"}, {"ref": "adityarbhandari/notebook9beb38de62", "kernel_id": "15428115"}, {"ref": "a2018a7ps0159g/2018a7ps0159gminorproject", "kernel_id": "15475674"}, {"ref": "a2018a7ps0159g/notebook9199919296", "kernel_id": "15454732"}, {"ref": "shubham2017b4a30712g/2017b4a30712g", "kernel_id": "15456007"}, {"ref": "vinayrudrappasabarad/notebook8263023284", "kernel_id": "15455433"}]}
{"competition_id": "26145", "kernels": [{"ref": "dyakonov/example-cmc2021", "kernel_id": "16203202"}]}
{"competition_id": "26146", "kernels": [{"ref": "imlahsoffenburg/retail-product-classification", "kernel_id": "15425303"}, {"ref": "abhigyanbasak/notebook31092c0ee0", "kernel_id": "45137653"}, {"ref": "jhlee81/retail-products-classification", "kernel_id": "77931295"}]}
{"competition_id": "26167", "kernels": []}
{"competition_id": "26169", "kernels": []}
{"competition_id": "26171", "kernels": []}
{"competition_id": "26178", "kernels": []}
{"competition_id": "26183", "kernels": [{"ref": "adilztn/dataset-time-series", "kernel_id": "15218273"}]}
{"competition_id": "26184", "kernels": []}
{"competition_id": "26186", "kernels": []}
{"competition_id": "26188", "kernels": []}
{"competition_id": "26192", "kernels": []}
{"competition_id": "26196", "kernels": []}
{"competition_id": "26202", "kernels": [{"ref": "mosnoiion/countvectorizer-multinomialnb", "kernel_id": "15414521"}, {"ref": "boreal/tfidf-vectorizer-randomforest", "kernel_id": "15821316"}, {"ref": "mpwolke/poezii-in-limba-rom-n", "kernel_id": "15293293"}, {"ref": "mpwolke/poezii-rom-n", "kernel_id": "16313054"}, {"ref": "saztorralba/classifypoetryauthor-characterencoderlstm", "kernel_id": "16367887"}, {"ref": "saztorralba/classifypoetryauthor-characterlstm-wordlstm", "kernel_id": "16368788"}, {"ref": "saztorralba/classifypoetryauthor-wordencoderlstm", "kernel_id": "16353278"}, {"ref": "mpwolke/bokeh-bertopic", "kernel_id": "17112910"}]}
{"competition_id": "26205", "kernels": []}
{"competition_id": "26209", "kernels": []}
{"competition_id": "26211", "kernels": []}
{"competition_id": "26217", "kernels": [{"ref": "uozcan12/2021-machine-learning", "kernel_id": "15253318"}]}
{"competition_id": "26218", "kernels": []}
{"competition_id": "26219", "kernels": []}
{"competition_id": "26223", "kernels": []}
{"competition_id": "26238", "kernels": [{"ref": "kolosov/jaccard-grader", "kernel_id": "15931042"}, {"ref": "nns2009/obj2vec-simulated-annealing-solution", "kernel_id": "16354337"}, {"ref": "bezrogota/obj2vec", "kernel_id": "16522235"}, {"ref": "kolosov/obj2vec-baseline", "kernel_id": "16270225"}, {"ref": "vladtytskiy/obj2vec-gradient-method", "kernel_id": "16292180"}]}
{"competition_id": "26259", "kernels": []}
{"competition_id": "26266", "kernels": [{"ref": "vshargin/churn-classification-solution", "kernel_id": "15884147"}, {"ref": "desperatemaker/notebook7233759ec6", "kernel_id": "15323965"}, {"ref": "desperatemaker/submit-for-review", "kernel_id": "15814010"}, {"ref": "gracikk/notebook-for-your-beautiful-soul", "kernel_id": "15890713"}, {"ref": "ivanpolukarov/dls-spring-churn-eda", "kernel_id": "15905927"}, {"ref": "ivanpolukarov/dls-churn-eda", "kernel_id": "15905239"}, {"ref": "michaelpakhomov/churn-prediction-eda-logreg-catboost", "kernel_id": "15892747"}, {"ref": "annakisman/kaggle-competition-8-1", "kernel_id": "15883697"}, {"ref": "denisabrashin/advanced-dls-spring-2021-pie-plot", "kernel_id": "15884945"}, {"ref": "uoohoo/notebookb340658fb5", "kernel_id": "15889219"}, {"ref": "alekseikaravaev/user-churn-spring-2021", "kernel_id": "15787832"}, {"ref": "vladimirlavrentiev/dls-1", "kernel_id": "15990560"}, {"ref": "avdoninilya/stacking-lr-dt-rf-cb-knn-nb-svc-xgb", "kernel_id": "15869031"}, {"ref": "sunests/ml-kaggle", "kernel_id": "16549575"}, {"ref": "aidaramrin/customer-churn-prediction", "kernel_id": "16052479"}, {"ref": "alexlapin/lapin-dls1", "kernel_id": "16444430"}, {"ref": "ekaterinameshkova/notebook-prediction-cust", "kernel_id": "16490229"}, {"ref": "klyshnikov/notebook87391b306c", "kernel_id": "16477604"}, {"ref": "alinatelegina/notebookc614d75625", "kernel_id": "17432438"}, {"ref": "anatolyboronilov/churn-anatoly-boronilov", "kernel_id": "19429974"}, {"ref": "eugenebee/user-churn-prediction-fall-2021", "kernel_id": "20962657"}, {"ref": "slegotsky/notebook512b5bfd87", "kernel_id": "21302560"}, {"ref": "sedsda/sergeevmaxim", "kernel_id": "21344887"}, {"ref": "vladislavkuzevanov/notebook8e8dee433d", "kernel_id": "21282873"}, {"ref": "kirillkruglikov/notebookef9939de61", "kernel_id": "21251130"}, {"ref": "pinkwhale/notebook43e772457d", "kernel_id": "21409381"}, {"ref": "konstantinkonov/customer-churn-forecast", "kernel_id": "21403107"}, {"ref": "rustamdavletshin/prediction-of-churn", "kernel_id": "21431704"}, {"ref": "lucci01a/notebookffc44e318c", "kernel_id": "21278816"}, {"ref": "imcr00z/user-churn-forecast-lr-xgboost-catboost", "kernel_id": "21777541"}, {"ref": "blckvia/user-churn-prediction", "kernel_id": "21983115"}, {"ref": "starms/notebook75b48042fe", "kernel_id": "21941161"}, {"ref": "alexandrpomozov/notebookfc6015130c", "kernel_id": "22110550"}, {"ref": "daniilcherechukin/notebook5d6d516237", "kernel_id": "22015299"}, {"ref": "hellenchenn/notebook697c86574c", "kernel_id": "22096630"}, {"ref": "iamsvp/cat-boost", "kernel_id": "25568033"}, {"ref": "starykhleonid/simple-data-analysis-catboost", "kernel_id": "25435202"}, {"ref": "dmitrylessy/user-churn-prediction-eda-catboost", "kernel_id": "25191291"}, {"ref": "lllchak/users-churn-boosting", "kernel_id": "25971835"}, {"ref": "zhenddos/churn-prediction", "kernel_id": "25317907"}, {"ref": "pochebut/notebook8dbd3229f3", "kernel_id": "25206413"}, {"ref": "tommykamaz/catboost-gridsearch", "kernel_id": "25301464"}, {"ref": "sergeytroschiev/catboost-cv-optuna-xgboost-ensemble-rus", "kernel_id": "25248331"}, {"ref": "milenasokol/catboost-logreg", "kernel_id": "26034470"}, {"ref": "irinayankovskaya/notebook4c215ab1ad", "kernel_id": "26610290"}, {"ref": "kamushek/tuning-catboost-and-logreg-via-optuna", "kernel_id": "27736894"}, {"ref": "omorozova/prediction-user-churn", "kernel_id": "27505950"}, {"ref": "neopoleones/en-churn-prediction-gridsearchcv-xgbclassifier", "kernel_id": "27505149"}, {"ref": "ivanmarinichev/churn-predictions-rus", "kernel_id": "28336311"}, {"ref": "matthewanoshin/prediction-of-the-churn-of-clients", "kernel_id": "29557257"}, {"ref": "e0xextazy/basic-feature-preprocessing-stacking-upgraded", "kernel_id": "31092313"}, {"ref": "wervlad/basic-feature-preprocessing-stacking", "kernel_id": "31040093"}, {"ref": "egorsemevskiy/catboots", "kernel_id": "31690992"}, {"ref": "alexanderlakiza/my-only-dls-submit", "kernel_id": "31595581"}, {"ref": "aveocr/catboost", "kernel_id": "31386348"}, {"ref": "dmbelousov/homework-ml-task", "kernel_id": "31571495"}, {"ref": "andreypomortsev/customer-churn-prediction", "kernel_id": "31292686"}, {"ref": "oracle444/bagging-stacking-and-boosting", "kernel_id": "31249477"}, {"ref": "anyaborisyuk/churn-predict", "kernel_id": "31355933"}, {"ref": "mark201345/prediction-of-the-churn-of-clients", "kernel_id": "31353665"}, {"ref": "konarlook/predicting-customer-churn", "kernel_id": "31509614"}, {"ref": "grigoriytrukhin/churn-20-0-1", "kernel_id": "31102563"}, {"ref": "mikhailshkarbanenko/dls-churn-prediction", "kernel_id": "31434076"}, {"ref": "aliaksandrkishkovich/notebook6d6d873eab", "kernel_id": "32769498"}, {"ref": "dimitriysokolov/dms-churn-model", "kernel_id": "32773520"}, {"ref": "zhanibekbalabaev/user-churn-dl", "kernel_id": "32931081"}, {"ref": "annaindlina/user-churn-gridsearch-catboost", "kernel_id": "32757617"}, {"ref": "aabarodkin/notebookc6c331247d", "kernel_id": "32536729"}, {"ref": "kirillshulepov/14-ml-kaggle", "kernel_id": "32730235"}, {"ref": "mimfort/notebook316cb1780a", "kernel_id": "32845569"}, {"ref": "kotsvg/logisticregressioncv-catboost", "kernel_id": "32599485"}, {"ref": "victorpichugov/notebookda121af3f0", "kernel_id": "33072674"}, {"ref": "maximustinov/notebookd35af70163", "kernel_id": "34348801"}, {"ref": "marissaluna/dl-kaggle", "kernel_id": "35871854"}, {"ref": "kirillsemencovich/hw-dls-8-1-lr-gscv-catboost", "kernel_id": "35952269"}, {"ref": "lexxiebelle/8-1-kaggle-com", "kernel_id": "35740936"}, {"ref": "tesla90/catboost-logreg-datacleaning-basics", "kernel_id": "35927724"}, {"ref": "danatkarasaev/homework-ml-task", "kernel_id": "35714534"}, {"ref": "kholmogorovaaa/ustomer-churn", "kernel_id": "35915120"}, {"ref": "zailak/dls-hw3notebook", "kernel_id": "35904490"}, {"ref": "dmitrymokinpiper/dl-course-homework", "kernel_id": "35857551"}, {"ref": "alexeysudakov/ml-task-dls", "kernel_id": "35896338"}, {"ref": "lucci01a/notebook5c84b21514", "kernel_id": "36117374"}, {"ref": "nikitakrasnikov/churn-prediction", "kernel_id": "36368949"}, {"ref": "leonidkhodosevich/dls-catboost-tune-00", "kernel_id": "36260618"}, {"ref": "mstasyuk/dls-churn-prediction", "kernel_id": "36117411"}, {"ref": "nikitashakh/dls-user-churn-predictions", "kernel_id": "36587049"}, {"ref": "shshshampun/prediction-of-ser-churn", "kernel_id": "36208383"}, {"ref": "kazars24/dls-hw-3", "kernel_id": "36440027"}, {"ref": "amiranmkrtchyan/catboost-xgb", "kernel_id": "37245004"}, {"ref": "alinaoshroeva/linear-models-and-gradient-boosting", "kernel_id": "38507389"}, {"ref": "egorandreasyan/deep-learning-1-2023", "kernel_id": "40869890"}, {"ref": "natayakusheva/customer-churn-prediction-for-a-telecom", "kernel_id": "41857799"}, {"ref": "shemyatenkovsergey/homework-dl", "kernel_id": "42533355"}, {"ref": "artishen/dls-hw-3", "kernel_id": "44364104"}, {"ref": "lazygene/dls-linear-and-gb-models", "kernel_id": "44351543"}, {"ref": "romankarkavin/notebookc07d69a3c8", "kernel_id": "44994665"}, {"ref": "sh1zaa/churn-rate-smote-adasyn-upsampling-catboost", "kernel_id": "44911710"}, {"ref": "nataliapridachina/catboost-and-logisticregression", "kernel_id": "44921398"}, {"ref": "letmlytt/butter-killers-predict", "kernel_id": "44773786"}, {"ref": "nordskova/dls-homework-churn-prediction-catboost", "kernel_id": "44410492"}, {"ref": "ariaet/churn-rate-prediction", "kernel_id": "44791750"}, {"ref": "rtkli91/customer-churn-forecast-eda-prediction", "kernel_id": "44717245"}, {"ref": "sergeivolchkov/churn-prediction-catboost-logicreg", "kernel_id": "44642830"}, {"ref": "lazypeon17/dls-hw3-logreg-catboost-0-855", "kernel_id": "44888749"}, {"ref": "irinakislitskaya/notebook7e4bc4535c", "kernel_id": "44666155"}, {"ref": "dmitryzvenkov/hw3-churn-problem-on-kaggle", "kernel_id": "44920608"}, {"ref": "otofarings/kaggle-telecom-churn", "kernel_id": "45166191"}, {"ref": "vitaliynid/clientchurn-analysis-linreg-rndforest-gradboost", "kernel_id": "45026999"}, {"ref": "akscent/charn-prediction", "kernel_id": "46551183"}, {"ref": "akscent/fitmlforcharn-prediction", "kernel_id": "46702857"}, {"ref": "serezha23/notebook17a4e0e6c9", "kernel_id": "46755644"}, {"ref": "trira64/dls-hw3-logreg-catboost", "kernel_id": "49022262"}, {"ref": "nikita7364777/mfti-1-1-1", "kernel_id": "49795409"}, {"ref": "konstantinsamolinov/dls-hm3", "kernel_id": "51873166"}, {"ref": "shinkun/result-dls", "kernel_id": "52499129"}, {"ref": "sergeisakh/dls-hw3", "kernel_id": "52235520"}, {"ref": "margobelikova/churn-analysis", "kernel_id": "52661250"}, {"ref": "artemy228/utok-polzovateley", "kernel_id": "52297823"}, {"ref": "kykwkykw/dls-17-03", "kernel_id": "52862559"}, {"ref": "romanbeletsky/notebookceab1e1cf0", "kernel_id": "52074970"}, {"ref": "daniilantonov5/dls-hw3", "kernel_id": "53057916"}, {"ref": "mikhailnaumov/hw3-catboost", "kernel_id": "53011085"}, {"ref": "alsuyavisheva/prediction-april-2024", "kernel_id": "54481007"}, {"ref": "egorandreasyan/hw-deep-learning", "kernel_id": "55242045"}, {"ref": "fedorkaltiugin/predicting-user-churn", "kernel_id": "64388584"}, {"ref": "magewade/dls-hw-logreg-catboost", "kernel_id": "67284940"}, {"ref": "xnapkin/hw-dls-catboost-random-forest", "kernel_id": "67365359"}, {"ref": "grisha228abu/shnapy", "kernel_id": "67346403"}, {"ref": "olgaparfenova/telecom-churn-rate-prediction", "kernel_id": "69270943"}, {"ref": "akio11/ultra-notebook", "kernel_id": "74614246"}, {"ref": "talkingbirb/notebookbfd0f27af7", "kernel_id": "76925258"}, {"ref": "annakuprym/customer-churn-prediction", "kernel_id": "76875599"}, {"ref": "nickitarusanov/notebookcdf51a25c9", "kernel_id": "77896500"}, {"ref": "caseyjohnsonrs/logistic-regression-catboost", "kernel_id": "78939244"}, {"ref": "ugagaga/notebooke008e33f64", "kernel_id": "78940733"}, {"ref": "andreywinr/notebook8b6c2dd59d", "kernel_id": "78948611"}, {"ref": "sofiasaibert/baseline", "kernel_id": "79569405"}, {"ref": "ghbdtn/churn-prediction-catboost-gridsearchcv", "kernel_id": "79415898"}, {"ref": "vladislavizov/logisticregression", "kernel_id": "79042608"}, {"ref": "goldenserzh/catboost-solution-finall", "kernel_id": "79887759"}, {"ref": "vladlena321/notebooka23779bb7d", "kernel_id": "79285991"}, {"ref": "polinashevtsova1/notebook975848ef91", "kernel_id": "79635400"}, {"ref": "alexanderkas/notebooka6e86bc81a", "kernel_id": "79078870"}, {"ref": "chipohx/clientchurnprediction", "kernel_id": "79927426"}, {"ref": "andrew256/notebook89e0d3cef6", "kernel_id": "79080799"}, {"ref": "vlcupher/log-reg-compet-01", "kernel_id": "79438205"}, {"ref": "error0xc00007b/churn-prediction-with-sklearn-and-catboost", "kernel_id": "79500784"}, {"ref": "johncookies/logisticregression", "kernel_id": "79624964"}, {"ref": "yurinovichenkov/notebookcee452a21b", "kernel_id": "79499651"}, {"ref": "chernylovelas/notebook1d119b8bb0", "kernel_id": "79613631"}, {"ref": "lopikkir/notebook0ea6e856ab", "kernel_id": "79433363"}, {"ref": "alekseybatalov/notebook26304110de", "kernel_id": "79093100"}, {"ref": "theo1dhag/notebookb26b5db78f", "kernel_id": "79266787"}, {"ref": "denismassyorov/massyorov-5a24-lb-1", "kernel_id": "79299815"}, {"ref": "astra142/notebook87bee159cc", "kernel_id": "79544042"}, {"ref": "dovgalstepan/notebookddd53c7780", "kernel_id": "79714345"}, {"ref": "alkhor/notebook210cdc0c1c", "kernel_id": "79492251"}, {"ref": "ganertdi/labaa-1", "kernel_id": "79601011"}, {"ref": "nocleum/ds-lab-1", "kernel_id": "79613965"}, {"ref": "khozhanetsroman/notebook371544c35c", "kernel_id": "79603761"}, {"ref": "kruchininna/notebook3854659891", "kernel_id": "79714273"}, {"ref": "ivanovstanislav12/notebook9b9577d136", "kernel_id": "79769737"}, {"ref": "aas377/notebooke47b91ca50", "kernel_id": "79913061"}, {"ref": "xranitelduri/notebook0908e9e736", "kernel_id": "79997160"}, {"ref": "kirillfpv/lab-1", "kernel_id": "83746693"}, {"ref": "zoomr3/lb1kaggle", "kernel_id": "83958967"}, {"ref": "sonyamuzycheva/lab-1", "kernel_id": "83746805"}, {"ref": "olegpotapov89/notebook06e2830009", "kernel_id": "84263428"}, {"ref": "nedomad/baranov-lab1", "kernel_id": "84228632"}, {"ref": "ababaeva/notebook5c1deeca70", "kernel_id": "84384619"}, {"ref": "alexkorshunov23/lab1sbn", "kernel_id": "84604377"}, {"ref": "vaivah/notebook5dc61815d4", "kernel_id": "85083592"}, {"ref": "antonoof/top1-automl-dls-mipt", "kernel_id": "88521551"}, {"ref": "klyushnik/roc-auc0-85153", "kernel_id": "92392320"}, {"ref": "godenzoon/predicting-customer-churn", "kernel_id": "92990681"}, {"ref": "jabr1one/exploratory-analysis-and-ml-models", "kernel_id": "92073359"}, {"ref": "taylorsamarel/churn-analysis-2-0", "kernel_id": "93051362"}, {"ref": "alinarogovaya/notebooke3882e8380", "kernel_id": "94620796"}, {"ref": "svetlanabychkova/churn-prediction", "kernel_id": "94615631"}, {"ref": "smilingdino/catboost-grid-search", "kernel_id": "94192258"}, {"ref": "lemurs/notebook571d4c1263", "kernel_id": "95760023"}, {"ref": "danielnru/churnprediction", "kernel_id": "95463341"}, {"ref": "vlad31415/notebook25e4b0b17c", "kernel_id": "95613577"}, {"ref": "alekseiantipov/notebook877f71673e", "kernel_id": "95005313"}, {"ref": "superpro2005/zxcnotebook", "kernel_id": "95665838"}, {"ref": "evgeniynoname/dls-2025", "kernel_id": "97869442"}, {"ref": "hmnshudhmn24/customer-churn-prediction-score-0-85126", "kernel_id": "105968964"}, {"ref": "murmiay/adversarial-validation", "kernel_id": "114648403"}, {"ref": "lucifer19/regularized-churn-stacking", "kernel_id": "125316664"}]}
{"competition_id": "26277", "kernels": [{"ref": "adsoofmelk/morphism", "kernel_id": "15635419"}, {"ref": "mrfarbo/notebook-9", "kernel_id": "15626430"}, {"ref": "alexeykozhevnikovmm/notebook-m-a-bayes", "kernel_id": "15652052"}, {"ref": "aleksandrgusarov/bayes-final", "kernel_id": "15621692"}, {"ref": "maryamlistopad/imdb-og-gucci", "kernel_id": "15613891"}, {"ref": "chernykhaa/bayes-team-dga", "kernel_id": "15435496"}, {"ref": "maksimandreev/3-00000", "kernel_id": "15621609"}, {"ref": "alexag05/imdb-three-graces", "kernel_id": "15616288"}, {"ref": "daryafilippova/ida-naive-bayes", "kernel_id": "15607203"}, {"ref": "alexeyshatokhin/imdb-reshape-of-you", "kernel_id": "15622779"}, {"ref": "fereshteeslami/naive-bayes-competition", "kernel_id": "58418067"}]}
{"competition_id": "26284", "kernels": []}
{"competition_id": "26288", "kernels": []}
{"competition_id": "26290", "kernels": [{"ref": "creatrol/get-started-imet-2021", "kernel_id": "15953260"}, {"ref": "creatrol/baseline", "kernel_id": "16335162"}, {"ref": "jirkaborovec/imet-data-exploration-draft", "kernel_id": "17113486"}, {"ref": "jirkaborovec/imet-with-lightning", "kernel_id": "17357524"}]}
{"competition_id": "26305", "kernels": [{"ref": "daechanhan/basecode", "kernel_id": "15424334"}]}
{"competition_id": "26317", "kernels": [{"ref": "vikramaditya69/notebook1d7a5659cf", "kernel_id": "20186994"}]}
{"competition_id": "26319", "kernels": [{"ref": "harrytheorange/2021springhw2", "kernel_id": "22325343"}, {"ref": "tamakoyl/2021hw02phoneme", "kernel_id": "29415459"}, {"ref": "lizupeng/notebook4bf3cf8e90", "kernel_id": "30850565"}]}
{"competition_id": "26321", "kernels": [{"ref": "lizlmzreynoldsfa/easy-digit-recognizer", "kernel_id": "68297998"}]}
{"competition_id": "26325", "kernels": []}
{"competition_id": "26327", "kernels": [{"ref": "profverri/exemplo-de-submiss-o", "kernel_id": "15901240"}, {"ref": "retigambit/abordagem-inicial-mape-14-5", "kernel_id": "15558876"}, {"ref": "tuliocasagrande/ita-2021-warm-up-autogluon", "kernel_id": "16229561"}]}
{"competition_id": "26338", "kernels": []}
{"competition_id": "26342", "kernels": []}
{"competition_id": "26343", "kernels": []}
{"competition_id": "26347", "kernels": []}
{"competition_id": "26348", "kernels": []}
{"competition_id": "26357", "kernels": []}
{"competition_id": "26358", "kernels": []}
{"competition_id": "26370", "kernels": [{"ref": "premabcd/explore-and-build-model", "kernel_id": "15498381"}, {"ref": "defroid/deepy-hyd", "kernel_id": "16077905"}]}
{"competition_id": "26372", "kernels": [{"ref": "manjunath216/logistic-regression-decision-tree", "kernel_id": "15508471"}]}
{"competition_id": "26376", "kernels": []}
{"competition_id": "26421", "kernels": []}
{"competition_id": "26423", "kernels": []}
{"competition_id": "26428", "kernels": []}
{"competition_id": "26429", "kernels": []}
{"competition_id": "26431", "kernels": []}
{"competition_id": "26433", "kernels": []}
{"competition_id": "26443", "kernels": []}
{"competition_id": "26445", "kernels": []}
{"competition_id": "26447", "kernels": []}
{"competition_id": "26448", "kernels": []}
{"competition_id": "26452", "kernels": []}
{"competition_id": "26454", "kernels": []}
{"competition_id": "26464", "kernels": []}
{"competition_id": "26470", "kernels": []}
{"competition_id": "26475", "kernels": [{"ref": "syde552/starter-kit", "kernel_id": "15478925"}, {"ref": "wzafar/starter-kit", "kernel_id": "16005867"}, {"ref": "michellewatson/mwatson-syde522-a2-v10", "kernel_id": "16009352"}]}
{"competition_id": "26478", "kernels": [{"ref": "elvinagammed/titanic-ensemble-modeling", "kernel_id": "11445559"}, {"ref": "elvinagammed/decision-tree-knn-gridsearch-90", "kernel_id": "11436823"}, {"ref": "kylecloud/titanic-top4percent", "kernel_id": "14659934"}, {"ref": "chienhsianghung/tps-apr-lgbm-catboost-decisiontree-pseudo", "kernel_id": "14409605"}, {"ref": "mt77pp/mljar-automl-tps-apr-21", "kernel_id": "15936826"}, {"ref": "mt77pp/mljar-automl-explain-tps-apr-21", "kernel_id": "15939870"}, {"ref": "mt77pp/mljar-automl-tps-apr-21-eco", "kernel_id": "15942807"}, {"ref": "mt77pp/mljar-automl-tps-apr-2021-manual-features", "kernel_id": "15959697"}, {"ref": "alexryzhkov/n3-tps-april-21-lightautoml-starter", "kernel_id": "15942082"}, {"ref": "alexryzhkov/tps-apr-2021-submissions-democracy", "kernel_id": "15988345"}, {"ref": "trout59687/titanic-decision-tree-demo", "kernel_id": "15983410"}, {"ref": "dwin183287/tps-apr-2021-eda", "kernel_id": "15942927"}, {"ref": "tomwarrens/tps-april-2021-lgbm-optuna", "kernel_id": "15935226"}, {"ref": "kalashnimov/tps-apr-2021-eda", "kernel_id": "15970212"}, {"ref": "tunguz/tps-april-2021-eda", "kernel_id": "15932007"}, {"ref": "petregriscenco/titanic-tabular-april-2021", "kernel_id": "15965987"}, {"ref": "pratikkgandhi/simple-xgboost-starter-optuna", "kernel_id": "15932136"}, {"ref": "pratikkgandhi/histgradientboostingclassifier-baseline", "kernel_id": "15948205"}, {"ref": "springmanndaniel/lgbm-baseline-in-r", "kernel_id": "15939520"}, {"ref": "springmanndaniel/bagged-lgbms", "kernel_id": "15940456"}, {"ref": "rsesha/autoviml-score-77-4-apr-tps-2021", "kernel_id": "15943188"}, {"ref": "gpreda/titanic-for-the-masses", "kernel_id": "15958691"}, {"ref": "niks8411/tabular-playground", "kernel_id": "15965631"}, {"ref": "lucabasa/be-careful-about-your-test-set", "kernel_id": "15965775"}, {"ref": "donkeys/compare-to-original-data-do-random-search-lgbm", "kernel_id": "15960949"}, {"ref": "j2hoon85/2021-april-play-ground-eda-for-kaggle-newbies", "kernel_id": "15954148"}, {"ref": "hiroshi0530/lm-with-various-encoding-methods", "kernel_id": "15971127"}, {"ref": "gomes555/tps-apr2021-r-eda-lightgbm-bayesopt", "kernel_id": "15934381"}, {"ref": "gomes555/tps-apr2021-eda-profiling-rf-pipeline-baseline", "kernel_id": "15933372"}, {"ref": "docxian/tabular-playground-4-start-me-up", "kernel_id": "15937120"}, {"ref": "askolkova/tps-april-supervised-algorithms", "kernel_id": "15996436"}, {"ref": "srivatsan25297/tabulardata-april", "kernel_id": "15933223"}, {"ref": "santoshd3/tps-april", "kernel_id": "15971540"}, {"ref": "saket0565/tab-series-apr-21-eda-base-model-prediction", "kernel_id": "15985411"}, {"ref": "craigmthomas/tps-apr-2021-eda", "kernel_id": "15932901"}, {"ref": "michau96/simple-way-to-evaluate-features-in-the-model", "kernel_id": "15964585"}, {"ref": "natthasit/practice-titanic", "kernel_id": "15941705"}, {"ref": "darknez/first-tab-apr", "kernel_id": "15985450"}, {"ref": "manabendrarout/detailed-eda-benchmarking-classifiers-tps-apr-21", "kernel_id": "15941058"}, {"ref": "aleanto/tabular-playground-april2021-eda-model-tarining", "kernel_id": "15940317"}, {"ref": "saurabhshahane/eval-ml-automl", "kernel_id": "15958446"}, {"ref": "shyambhu/tps-april-basic-modeling", "kernel_id": "15946373"}, {"ref": "godzill22/feature-engineering-optuna-shap-tps-april", "kernel_id": "15937223"}, {"ref": "subinium/tps-apr-highlighting-the-data", "kernel_id": "15932673"}, {"ref": "dazzpool/tps-april-21-eda", "kernel_id": "15934996"}, {"ref": "rushikeshhiray/extensive-eda-pytanic", "kernel_id": "15933013"}, {"ref": "tarushi89/tps-april-your-baseline-model", "kernel_id": "15983941"}, {"ref": "barteksadlej123/lgb-train-and-submit-baseline", "kernel_id": "15969775"}, {"ref": "daikikatsuragawa/tps-apr-2021-benchmark-using-h2o-automl", "kernel_id": "15944107"}, {"ref": "daikikatsuragawa/tps-apr-2021-benchmark-using-mljar", "kernel_id": "15943680"}, {"ref": "daikikatsuragawa/tps-apr-2021-benchmark-using-autogluon", "kernel_id": "15943843"}, {"ref": "daikikatsuragawa/tps-apr-2021-benchmark-using-pycaret", "kernel_id": "15943911"}, {"ref": "gogo827jz/tps-ctgan", "kernel_id": "15960064"}, {"ref": "nacmarino/tps202104-logistic-optuned", "kernel_id": "15985461"}, {"ref": "lakshya91/basic-eda-and-modeling", "kernel_id": "15932360"}, {"ref": "sureshmecad/tabular-titanic-apr2021", "kernel_id": "15938880"}, {"ref": "harshitt21/tps-april-2021-visualization-baseline-model", "kernel_id": "15931748"}, {"ref": "drcapa/tps-apr21-tutorial-xgb", "kernel_id": "15937271"}, {"ref": "jeanpierrrerio/tps-april-2021", "kernel_id": "15938574"}, {"ref": "viteshkhurana18/tabular-playground-series-mota-bhai", "kernel_id": "15982689"}, {"ref": "heyytanay/tps-april-eda-pytorch-lightning-on-tabular-data", "kernel_id": "15933509"}, {"ref": "hamzaghanmi/tps-apr-hyperparameter-tuning-using-optuna", "kernel_id": "15950581"}, {"ref": "hamzaghanmi/tps-apr-beginner-guide-eda-lgbm", "kernel_id": "15947342"}, {"ref": "piantic/tps-apr-h20-automl-starter", "kernel_id": "15947183"}, {"ref": "namanmanchanda/tps-april-complete-eda-prediction", "kernel_id": "15937487"}, {"ref": "andreshg/tps-apr-data-visualization-and-highlights", "kernel_id": "15952205"}, {"ref": "bhavikjain/tabular-playground-series-april-ensemble", "kernel_id": "15959698"}, {"ref": "cosmosankur/initial-eda-and-logistic-regression", "kernel_id": "15967699"}, {"ref": "carlmcbrideellis/synthanic-feature-engineering-beware", "kernel_id": "15948196"}, {"ref": "marcosmuozgonzlez/tps-apr-2021-feat-eng-boruta-optuna-xgboost", "kernel_id": "15981752"}, {"ref": "srimanthtenneti/titanic-model-v1", "kernel_id": "15945914"}, {"ref": "joshuaswords/tps-awesome-eda-model-apr-2021", "kernel_id": "15976146"}, {"ref": "hamzaadnan/forget-about-preprocessing-h2o-automl", "kernel_id": "15947664"}, {"ref": "hamzaadnan/catboost-achieve-77-acc-without-preprocessing", "kernel_id": "15939906"}, {"ref": "rmiperrier/tps-apr-eda-starter-models", "kernel_id": "15935451"}, {"ref": "sishahemmed/tabular-data-april", "kernel_id": "15999961"}, {"ref": "kengofujii/tabular-apr-lgb", "kernel_id": "15972031"}, {"ref": "kengofujii/tabular-apr-base-model", "kernel_id": "15954274"}, {"ref": "ranjeetshrivastav/tabular-playground-series-apr-2021", "kernel_id": "15999031"}, {"ref": "calebyenusah/tps-april-2021", "kernel_id": "15972866"}, {"ref": "sourabhy/tpa-april", "kernel_id": "15934977"}, {"ref": "yhirakawa/titanic-for-beginners", "kernel_id": "15953143"}, {"ref": "arunlukedsouza/tps-apr-auto-sklearn", "kernel_id": "15976998"}, {"ref": "arunlukedsouza/tps-apr-rapid-eda", "kernel_id": "15974796"}, {"ref": "christopherwsmith/tabular-playground-series-april", "kernel_id": "15967709"}, {"ref": "zhaodianwen/tps-april-1-eda", "kernel_id": "15934662"}, {"ref": "zhaodianwen/tps-april-2-data-pre-processing", "kernel_id": "15937846"}, {"ref": "zhaodianwen/tps-april-3-model-development", "kernel_id": "15939829"}, {"ref": "desalegngeb/april-tps-synthanic-eda-visualizations", "kernel_id": "15936829"}, {"ref": "mihir27/tps-april-eda-titanic-data", "kernel_id": "15934656"}, {"ref": "kingabzpro/easy-to-understand-r-code-lgbm-bagged", "kernel_id": "15970061"}, {"ref": "yus002/tps-april-visualization-practice", "kernel_id": "15932697"}, {"ref": "jiangtt/tps-mljar", "kernel_id": "15933707"}, {"ref": "jiangtt/mljar", "kernel_id": "15933281"}, {"ref": "abhishekv5055/tabular-playground-series-apr-2021", "kernel_id": "15938253"}, {"ref": "salilchoubey/tps-apr-eda-very-baseline-model", "kernel_id": "15956596"}, {"ref": "josephchan524/tps-april-2021-classification-using-lightgbm", "kernel_id": "15950048"}, {"ref": "bagusbpg/my-12th-notebook", "kernel_id": "15977895"}, {"ref": "luisbedia/tabular-playground-abr2021", "kernel_id": "15940822"}, {"ref": "halilakkaynak/tps-apr-eda-and-ann", "kernel_id": "15947539"}, {"ref": "mohamedbakrey/eda-for-tps-apr-2021-and-build-best-ml-model", "kernel_id": "15964440"}, {"ref": "dmitryuarov/tps-apr-eda-prediction-lgbm-xgb-rf-automl", "kernel_id": "15946304"}, {"ref": "sh0wmaker/tps-april-eda-for-starter", "kernel_id": "15933082"}, {"ref": "muhammadimran112233/tps-eda-fe-cv-modeling-results", "kernel_id": "15940878"}, {"ref": "cabinetshah1999/tps-april-analysis-mr-shah", "kernel_id": "15974008"}, {"ref": "alexryzhkov/lightautoml-interpretable-model-autowoe", "kernel_id": "16265737"}, {"ref": "jeongyoonlee/autoencoder-pseudo-label-autolgb", "kernel_id": "16309073"}, {"ref": "jeongyoonlee/stacking-ensemble", "kernel_id": "16512339"}, {"ref": "jeongyoonlee/supervised-emphasized-denoising-autoencoder", "kernel_id": "16382211"}, {"ref": "jeongyoonlee/dae-with-2-lines-of-code-with-kaggler", "kernel_id": "16606628"}, {"ref": "fernandonieuwveldt/easyflow-demo-keras-feature-pipelines", "kernel_id": "16195850"}, {"ref": "superant/tabular-april-single-lgbm-baseline", "kernel_id": "16225841"}, {"ref": "rohanrao/automl-tutorial-tps-april-2021", "kernel_id": "16554264"}, {"ref": "sauravagarwal/autogluon-and-rapids", "kernel_id": "16373490"}, {"ref": "sauravagarwal/rapids-on-tabular-and-interpretability", "kernel_id": "16038986"}, {"ref": "dwin183287/tps-april-2021-models-feature-enginering", "kernel_id": "16042419"}, {"ref": "thawatt/eda-to-ensemble", "kernel_id": "16595443"}, {"ref": "crained/tps-april-2020-for-beginners", "kernel_id": "16409966"}, {"ref": "halflings/titanic-problem-al-fihriya-academy-livestream", "kernel_id": "16312157"}, {"ref": "pavelvod/gbm-supervised-pretraining", "kernel_id": "16081681"}, {"ref": "jsmithperera/tps-lgbm-optuna", "kernel_id": "16337755"}, {"ref": "kalashnimov/tps-apr-simple-ensemble", "kernel_id": "16575657"}, {"ref": "kalashnimov/logistic-regression-baseline", "kernel_id": "16164731"}, {"ref": "kalashnimov/tps-apr-logistic-regression-psuedo-labeling", "kernel_id": "16259906"}, {"ref": "forsesi/no-learning-rates", "kernel_id": "16523326"}, {"ref": "marcinstasko/ann-ensembling-meta-and-pseudometa-classifier", "kernel_id": "16618553"}, {"ref": "tunguz/tps-april-2021-feature-eng-only", "kernel_id": "16073660"}, {"ref": "tunguz/adversarial-tps-april-2021", "kernel_id": "16073745"}, {"ref": "tunguz/apr-21-tps-h2o-automl", "kernel_id": "16091412"}, {"ref": "tunguz/tps-apr-21-tsne-and-umap-embeddings-with-rapids", "kernel_id": "16115980"}, {"ref": "sahilt93/tabular-playground-rf-xgb-feature-engineering", "kernel_id": "16065919"}, {"ref": "somsubhrometya/tps-2021-04-pseudo-label-lgbm", "kernel_id": "16514350"}, {"ref": "somsubhrometya/tps-2021-04-max-voting", "kernel_id": "16176975"}, {"ref": "somsubhrometya/tps-2021-04-starter-notebook-eda-basic-models", "kernel_id": "16043289"}, {"ref": "belov38/catboost-lb", "kernel_id": "16063336"}, {"ref": "shilleroleg/syntanic-pipeline", "kernel_id": "16592199"}, {"ref": "ekozyreff/tps-2021-04-support-vector-machines", "kernel_id": "16150412"}, {"ref": "ekozyreff/tps-2021-04-voting-classifier-with-7-methods", "kernel_id": "16378883"}, {"ref": "clarice/titanic-survival", "kernel_id": "16789771"}, {"ref": "porter97/synthanic-logistic-regression", "kernel_id": "16614345"}, {"ref": "jmargni/tps-apr-2021-lightgbm-optuna", "kernel_id": "16024046"}, {"ref": "jmargni/tps-apr-2021-lightgbm-cv", "kernel_id": "16012513"}, {"ref": "davirolim/improving-model-with-sagemaker-hpo", "kernel_id": "16131281"}, {"ref": "quincyqiang/tps-apr-2021-pseudo-labeling-voting-ensemble", "kernel_id": "16524965"}, {"ref": "lucaskup/feature-eng-plus-ensemble-knn-rf-lda-svm-mlp", "kernel_id": "16664328"}, {"ref": "j2hoon85/tps-april-sklearn-pycaret-for-newbies", "kernel_id": "16131311"}, {"ref": "gomes555/tps-apr2021-autoboost-mljar", "kernel_id": "16003038"}, {"ref": "gomes555/tps-apr2021-simple-catboost", "kernel_id": "16052483"}, {"ref": "gomes555/tps-apr2021-catboost-pseudo-movingthreshold", "kernel_id": "16100770"}, {"ref": "gomes555/tps-apr2021-feature-selection-rfe-boruta", "kernel_id": "16139964"}, {"ref": "gomes555/tps-apr2021-catboost-run-pseudo-label", "kernel_id": "16182774"}, {"ref": "harunshimanto/tps-2021-eda-baseline-using-pyspark", "kernel_id": "16383627"}, {"ref": "erikgarcia/tps-april-2021-no-model", "kernel_id": "16331282"}, {"ref": "erikgarcia/tps-april-2021-logistic-regression-4-variables", "kernel_id": "16109445"}, {"ref": "onielg/lgbm-catboostvslgbm", "kernel_id": "16080130"}, {"ref": "shashwatwork/breaking-the-leaderboard-with-mljar", "kernel_id": "16270893"}, {"ref": "ajpagotto/simple-eda-svc-pipeline", "kernel_id": "16185231"}, {"ref": "aniketwattamwar/random-forest-classifier-model", "kernel_id": "16397998"}, {"ref": "caiquefcoelho/tabular-playground-april", "kernel_id": "16313481"}, {"ref": "khoongweihao/tps-apr-2021-tabnet", "kernel_id": "16101726"}, {"ref": "sonluong1987/nn-raw-tblr-playground-titanic", "kernel_id": "16372832"}, {"ref": "saket0565/stacked-model-with-optimization-using-optuna", "kernel_id": "16180611"}, {"ref": "super0/synthanic", "kernel_id": "16357378"}, {"ref": "tjcdev/tps-eda-fe-ethnicity-baseline", "kernel_id": "16110901"}, {"ref": "pattnaiksatyajit/h2o-automl", "kernel_id": "16319462"}, {"ref": "mekazanc/for-beginners", "kernel_id": "16147114"}, {"ref": "abhishekvermasg1/catboost", "kernel_id": "16062805"}, {"ref": "jazivxt/use-it-or-lose-it", "kernel_id": "16315350"}, {"ref": "remydoyen/tabular-playground-series-simple-logistic-reg", "kernel_id": "16126786"}, {"ref": "desareca/eda-tps-april-ohe-word2vec-h2oautoml", "kernel_id": "16510938"}, {"ref": "caneiro/tps-synthanic-2021-04-01-h2o-baseline", "kernel_id": "16285182"}, {"ref": "caneiro/tps-synthanic-2021-04-02-fe", "kernel_id": "16285332"}, {"ref": "caneiro/tps-synthanic-2021-04-00-first-look", "kernel_id": "16028880"}, {"ref": "manwithaflower/lazy-and-boring-blending", "kernel_id": "16073824"}, {"ref": "joatom/tps-apr-2021-simple-and-quick-baseline", "kernel_id": "16380539"}, {"ref": "godzill22/tps-april2021", "kernel_id": "16248388"}, {"ref": "godzill22/basic-pytorch-model-tps-april", "kernel_id": "16281438"}, {"ref": "kesavsivakumar/k-best-features-xgboost-elasticnet", "kernel_id": "16239698"}, {"ref": "subinium/how-to-use-pycaret-with-feature-engineering", "kernel_id": "16075808"}, {"ref": "mohanraj7/tabular-playground-series-mohan", "kernel_id": "16264328"}, {"ref": "nikhilyadav10051998/tps-apr-simple-data-visualization", "kernel_id": "16072779"}, {"ref": "kmldas/synthanic-eda", "kernel_id": "16142015"}, {"ref": "vhomello/top-10-categorical-encoders-tps-apr", "kernel_id": "16384612"}, {"ref": "poipii/optuna-testbench", "kernel_id": "16034049"}, {"ref": "naokiokada/tabular-playground-series-apr-2021", "kernel_id": "16575727"}, {"ref": "mpwolke/petit-prince-by-currypurin", "kernel_id": "16683777"}, {"ref": "barteksadlej123/pytorch-model-feature-engineering", "kernel_id": "16300903"}, {"ref": "utkarsh175/lgbm-xgb-rf-tutorial", "kernel_id": "16507405"}, {"ref": "udbhavpangotra/tps-apr21-eda-model", "kernel_id": "16289932"}, {"ref": "daikikatsuragawa/tps-apr-2021-benchmark-using-evalml", "kernel_id": "16044873"}, {"ref": "pratiksharm/tps-apr2021-catboost-run-pseudo-label", "kernel_id": "16227892"}, {"ref": "dimitriirfan/tps-apr-2021-exploratory-data-analysis-baseline", "kernel_id": "16028715"}, {"ref": "nacmarino/tps202104-tabnet-optuned", "kernel_id": "16042012"}, {"ref": "ctlockhart3/lightgbm-binary-classifier-tps-apr2021", "kernel_id": "16009022"}, {"ref": "sureshmecad/tps-apr21-autosklearn", "kernel_id": "16245828"}, {"ref": "sureshmecad/tps-apr21-evalml-automl", "kernel_id": "16240617"}, {"ref": "sureshmecad/tps-apr21-h2oautoml", "kernel_id": "16166790"}, {"ref": "lagors/fuun-vote-with-cat-lgbm-rf-and-optuna", "kernel_id": "16026016"}, {"ref": "kongnyooong/ensemble-for-raw-beginners-to-top-25", "kernel_id": "16012292"}, {"ref": "andreshg/automl-libraries-comparison", "kernel_id": "16119709"}, {"ref": "lebedevav/tabular-playground-series-2", "kernel_id": "16401323"}, {"ref": "dpaluszk/titanic-simple-approach-33-solution-in-10-mins", "kernel_id": "16403924"}, {"ref": "satvik2204/tps-april-eda", "kernel_id": "16081521"}, {"ref": "siddharthpchauhan/tabular-playground-2021-for-begineers", "kernel_id": "16587834"}, {"ref": "siddharthpchauhan/pycaret-tabular-playground-april-2021", "kernel_id": "16261792"}, {"ref": "siddharthpchauhan/pycaret-tabular-playground-26-april-2021", "kernel_id": "16514749"}, {"ref": "siddharthpchauhan/kaggle-tabular-playground-april-2021", "kernel_id": "16240713"}, {"ref": "jitendramanwani/tps-april-2021-eda-viz-insights-model-end-2-end", "kernel_id": "16266500"}, {"ref": "rajsengo/tps-apr2021-base-h2o-automl", "kernel_id": "16513484"}, {"ref": "melanie7744/tps4-lr-dt-rfandxgb", "kernel_id": "16266863"}, {"ref": "carlmcbrideellis/synthanic-shakeup-scatterplot", "kernel_id": "16787738"}, {"ref": "dishaaagarwal/full-stack-data-science-titanic-dataset", "kernel_id": "16224425"}, {"ref": "rajgandhi/titanic-tps-apr-2021-voting-classifier", "kernel_id": "16152290"}, {"ref": "antonellomartiello/catboost-optuna-optimal-threshold-pseudo-labels", "kernel_id": "16264727"}, {"ref": "antonellomartiello/tabular-apr01-quick-test-with-optuna-and-lgbm", "kernel_id": "16014482"}, {"ref": "antonellomartiello/features-extraction-optuna-lgbm", "kernel_id": "16065673"}, {"ref": "antonellomartiello/tpg-apr01-features-extracion-optuna-lgbm", "kernel_id": "16102410"}, {"ref": "antonellomartiello/tpg-features-eng-optuna-lgbm", "kernel_id": "16106404"}, {"ref": "akioonodera/tps-apr-2021-lgbm-binary", "kernel_id": "16299678"}, {"ref": "juanromera/tabular-playground", "kernel_id": "16178189"}, {"ref": "huyuet/apr-2021-a-single-lightgbm", "kernel_id": "16068368"}, {"ref": "huyuet/apr-2021-a-single-catboost", "kernel_id": "16304480"}, {"ref": "atharvchaudhari/tabular-playground-series-apr-2021", "kernel_id": "16244806"}, {"ref": "minhn520/tabular-playground-series-tensorflow", "kernel_id": "16017566"}, {"ref": "vernondsouza123/april-playground-competition-solution", "kernel_id": "16125090"}, {"ref": "gauravsahani/survival-predict-eda-feature-selection-optuna-lgbm", "kernel_id": "16299396"}, {"ref": "jchanke/tabular-playground-series-apr-2021", "kernel_id": "16631902"}, {"ref": "remekkinas/ensemble-learning-meta-classifier-for-stacking", "kernel_id": "16479106"}, {"ref": "duythanhng/titanic-guide-parameter-tuning-in-xgboost", "kernel_id": "16085417"}, {"ref": "jaeworld/tps-april-2021-visualization-optuna-lgbm", "kernel_id": "16011223"}, {"ref": "napetrov/tps04-svm-with-intel-extension-for-scikit-learn", "kernel_id": "16443779"}, {"ref": "napetrov/tps04-svm-with-scikit-learn-intelex", "kernel_id": "16523076"}, {"ref": "vaishnavipatil4848/tps-april-21-eda-predictions", "kernel_id": "16485814"}, {"ref": "pranjalverma08/tps-april-21-ann-pseudo-label-score-81-101", "kernel_id": "16524564"}, {"ref": "pranjalverma08/tps-april-21-the-ann-approach-score-80-782", "kernel_id": "16219356"}, {"ref": "sourabhy/tps-april-with-feature-engineering-model-tuning", "kernel_id": "16518646"}, {"ref": "priyabratapanda/tpsa-80-acc-with-catboost-and-bayesoptimization", "kernel_id": "16367337"}, {"ref": "yhirakawa/tps-apr-2021-pseudo-labeling-voting-ensemble", "kernel_id": "16721145"}, {"ref": "yhirakawa/new-titanic-using-pycaret", "kernel_id": "16304217"}, {"ref": "igalbronshtein/tps21apr-feature-engineering-name-column", "kernel_id": "16067588"}, {"ref": "igalbronshtein/tps21apr-age-imputation", "kernel_id": "16536673"}, {"ref": "andreyrus/tps-apr-rf-with-intel-extension-for-scikit-learn", "kernel_id": "16351345"}, {"ref": "hakanerdogan/simple-code-scikit-learn-ensemble", "kernel_id": "16306929"}, {"ref": "tracyporter/titanic-april-2021", "kernel_id": "16446101"}, {"ref": "rendyk/bayesian-optimization-bayes-opt-or-fmin", "kernel_id": "16944644"}, {"ref": "aryanml007/plant-disease-resnet50", "kernel_id": "16009311"}, {"ref": "aryanml007/manual-encoding-optuna-tps-april", "kernel_id": "16484060"}, {"ref": "omkarchoulwar/tps-apr-21-models-and-eda", "kernel_id": "16189683"}, {"ref": "syalabiseet/tps-apr21-xgb-evolutionary-hyperparameter-tuning", "kernel_id": "16514332"}, {"ref": "desalegngeb/plotly-guide-customize-for-better-visualizations", "kernel_id": "16074203"}, {"ref": "thomasstokes/tabular-playground-series-apr2021", "kernel_id": "16166650"}, {"ref": "orblat/synthanic-or-blatt", "kernel_id": "16355491"}, {"ref": "aipi12/full-ds-workflow-eda-fe-tuning-ensembling", "kernel_id": "16502338"}, {"ref": "aipi12/voting-ensemble-keras-nn-catboost-lgbm", "kernel_id": "16090057"}, {"ref": "hayahiko/easy-way-lgbm-auto-lgbm-tuner-wtih", "kernel_id": "16555157"}, {"ref": "ash112/tps-april-2021", "kernel_id": "16628058"}, {"ref": "nikosraftogiannis/simple-ensemble-soft-voting", "kernel_id": "16559892"}, {"ref": "vladimirabramov/synthanic-with-lgbmclassifier", "kernel_id": "16374695"}, {"ref": "svyatoslavsokolov/tps-apr-2021-lgbm", "kernel_id": "16113690"}, {"ref": "kaiskermani/eda-pseudo-labelling-and-tuned-dnn", "kernel_id": "16071037"}, {"ref": "yus002/dae-stacking-cv-classifier", "kernel_id": "16628355"}, {"ref": "yus002/tps-apr-2021-bizen-notebook-continue", "kernel_id": "16411048"}, {"ref": "yus002/one-combination-of-ideas-tps-apr-21", "kernel_id": "16500220"}, {"ref": "saztorralba/synthetictitanicdata-lstmnameencoder", "kernel_id": "16195529"}, {"ref": "saztorralba/synthetictitanicdata-lightgbm-lstmnameencoder", "kernel_id": "16198504"}, {"ref": "saztorralba/synthetictitanicdata-lightgbm", "kernel_id": "16197215"}, {"ref": "saztorralba/synthetictitanicdata-lstmfulldataencoder", "kernel_id": "16219908"}, {"ref": "adnandodmani/april-titanic-logistic-random-forest-knn-79", "kernel_id": "16135036"}, {"ref": "jiangtt/tps-apr-2021-pseudo-labeling-voting-ensemble", "kernel_id": "16438283"}, {"ref": "nishantdhingra/april-tps-starter-with-pycaret", "kernel_id": "16249542"}, {"ref": "abhishekv5055/tps-apr-data-visualization", "kernel_id": "16015138"}, {"ref": "rohitkumaran/synthanic-data-cleaning", "kernel_id": "16310929"}, {"ref": "rohitkumaran/synthanic-playground-apr", "kernel_id": "16288253"}, {"ref": "rohitkumaran/tps-apr-3", "kernel_id": "16444195"}, {"ref": "pavfedotov/tps-april-eda-logistic-regression", "kernel_id": "16116124"}, {"ref": "pavfedotov/tps-apr-gradientboosting-sklearn", "kernel_id": "16376420"}, {"ref": "karthikdk/fastai-tabular-playground-series", "kernel_id": "16008141"}, {"ref": "pourchot/new-package-utilities-dfencoding-for-dataframe", "kernel_id": "16387817"}, {"ref": "pourchot/train-data-clustering-visualization", "kernel_id": "16135875"}, {"ref": "chienhsianghung/tps-apr-starter-pack-all-models", "kernel_id": "16033967"}, {"ref": "emspell/april-2021-tabular-playground-syntanic", "kernel_id": "16046487"}, {"ref": "viteshkakadia/tps-april-eda-logistic-regression", "kernel_id": "16400394"}, {"ref": "viteshkakadia/tps-apr-automl-libraries-comparison", "kernel_id": "16400579"}, {"ref": "kaliappanyadav/tps-apr", "kernel_id": "16033843"}, {"ref": "kyosukemorita/tps-apr-2021-simple-tabnet", "kernel_id": "16553420"}, {"ref": "georgz/tabular-playground-series-april-hyper-par-tuning", "kernel_id": "16288111"}, {"ref": "georgz/tabular-playground-series-april", "kernel_id": "16145419"}, {"ref": "shunsukeyamamoto/tps-apr-2021", "kernel_id": "16160046"}, {"ref": "elon4773/titanic-visualization-bayesian-optimization", "kernel_id": "16496553"}, {"ref": "elon4773/notebook4ea3c17ac0", "kernel_id": "16580505"}, {"ref": "rahulmish/april-tabular-2021-detailed-solution-79-6accuracy", "kernel_id": "16164958"}, {"ref": "arvindmakwana/notebook993201d83c", "kernel_id": "16513881"}, {"ref": "peeushthedeveloper/tps-april-21-eda-feature-engineering", "kernel_id": "16250329"}, {"ref": "peeushthedeveloper/ohe-featureengineering-advancedmodels", "kernel_id": "16481912"}, {"ref": "peeushthedeveloper/models-with-hyperparametertuning", "kernel_id": "16584067"}, {"ref": "pedrohsr/impute-nan-with-regression-techniques", "kernel_id": "16572297"}, {"ref": "roysouravcu/best-notebooks-to-learn-from", "kernel_id": "16241797"}, {"ref": "luanademi/solving-the-synthanic-using-democracy", "kernel_id": "16002292"}, {"ref": "baekhakjeon/case-study-titanic", "kernel_id": "16313844"}, {"ref": "jonaspalucibarbosa/tps04-21-eda-models-voting-pseudolabel", "kernel_id": "16624653"}, {"ref": "mohammedsohailabrar/tabular-playground-series-april", "kernel_id": "16015704"}, {"ref": "mykeysid10/tps-april-xgb", "kernel_id": "16380042"}, {"ref": "lakshanagv/logistic-regression-tabular-playground-april", "kernel_id": "16622981"}, {"ref": "niknovikov/tps-apr-2021-eda-model-rus", "kernel_id": "16171139"}, {"ref": "mujinjo/tps-apr-2021-ml-mjjo", "kernel_id": "16279783"}, {"ref": "roguecomputer/rfc-71-9-accuracy-data-vis", "kernel_id": "16584498"}, {"ref": "alexanderbader/nu-titanic", "kernel_id": "16528113"}, {"ref": "eunijnjun/tps-april-study-ej-pycaret", "kernel_id": "16517084"}, {"ref": "eunijnjun/tps-april-eda-feature-engineering-sklearn", "kernel_id": "16384986"}, {"ref": "kwonjungmin/notebook3d023525b2", "kernel_id": "16516487"}, {"ref": "kwonjungmin/notebook5df7ae9696", "kernel_id": "16388899"}, {"ref": "kwonjungmin/titanic-visualization-bayesian-optimization", "kernel_id": "16603947"}, {"ref": "tlgks32/kaggle-playground-featureengineering-study2", "kernel_id": "16360509"}, {"ref": "betancourt/tabularplayground-april-datacleaning-model", "kernel_id": "16409903"}, {"ref": "betancourt/tabularplayground-april-eda", "kernel_id": "16355644"}, {"ref": "dineshvp/notebookc3b6da967e", "kernel_id": "16240243"}, {"ref": "kazamkhattar/first", "kernel_id": "16546867"}, {"ref": "minhduc123/version2update", "kernel_id": "16744812"}, {"ref": "minhduc123/version7", "kernel_id": "16948729"}, {"ref": "mateuscco/eda-light-gbm-tabular-series-apr-2021", "kernel_id": "17310765"}, {"ref": "rendyk/binary-classification-accuracy-titanic", "kernel_id": "17323592"}, {"ref": "rendyk/neural-network-hyperparameter-tuning", "kernel_id": "17036709"}, {"ref": "krishnamore/evalautoml-tabular-playground-series-may-2021", "kernel_id": "17781296"}, {"ref": "krishnamore/autoencoder-and-autolgb-on-tabular-playground", "kernel_id": "17784250"}, {"ref": "stpeteishii/tps0421-titanic-xgboost-optuna", "kernel_id": "18365992"}, {"ref": "stpeteishii/tps0421-titanic-lgbm-optuna", "kernel_id": "18287664"}, {"ref": "arvindbudh/april", "kernel_id": "18744252"}, {"ref": "blackhurt/modelling-with-pipeline", "kernel_id": "18138741"}, {"ref": "abhinavnayak/compare-base-scores-of-different-models-0-79894", "kernel_id": "18544024"}, {"ref": "abhinavnayak/making-first-submission-for-baseline-score-0-788", "kernel_id": "18469413"}, {"ref": "abhinavnayak/eda-4-insights-fe-2-new-features", "kernel_id": "18478703"}, {"ref": "smita09/tps-april", "kernel_id": "18663753"}, {"ref": "rkforramesh/tps-april-2021", "kernel_id": "19924730"}, {"ref": "rhythmcam/light-automl-titanic-tabular-2021-apr", "kernel_id": "20462437"}, {"ref": "arvindbudh/tps-2021-04-pseudo-label-lgbm", "kernel_id": "21803546"}, {"ref": "hikarumoriya/tabular-data", "kernel_id": "22109610"}, {"ref": "daikitamura7x2zn/baseline", "kernel_id": "22931175"}, {"ref": "tunejoker/ailastex", "kernel_id": "22931453"}, {"ref": "akaneminami/ai-ex", "kernel_id": "22931205"}, {"ref": "kawanagotakashi/last-kadai", "kernel_id": "22931151"}, {"ref": "yumura/extended-titanic-baseline", "kernel_id": "22931783"}, {"ref": "stpeteishii/tps0421-lgb-lgb-dataset", "kernel_id": "23997246"}, {"ref": "hosseinbehjat/titanic-with-xgboost-and-gridsearch", "kernel_id": "23387157"}, {"ref": "pyim59/mljar-titanic-tps-compete-cours-ml-v1-1", "kernel_id": "25327235"}, {"ref": "pyim59/mljar-titanic-tps-cours-ml-v1-1", "kernel_id": "25326077"}, {"ref": "pyim59/pycaret-titanic-tps-cours-ml-v1-6", "kernel_id": "25322035"}, {"ref": "pyim59/mljar-titanic-tps-compete-cours-ml-v1-2", "kernel_id": "25347444"}, {"ref": "j2hoon85/temp-scikit-learn-vs-pycaret", "kernel_id": "25714969"}, {"ref": "rocklen/tabular-playground-series-apr-2021", "kernel_id": "25651065"}, {"ref": "mohamedelatillah/titanic-logistic-regression-cv", "kernel_id": "25327959"}, {"ref": "antoinegrimbert/grimbert-la2-mobile-price-pycaret", "kernel_id": "25927345"}, {"ref": "woobinhwang/temp-scikit-learn-vs-pycaret", "kernel_id": "25714980"}, {"ref": "sirin1234/scikit-learn-vs-pycaret", "kernel_id": "25714990"}, {"ref": "rlalastjd782/scikit-learn-vs-pycaret", "kernel_id": "25714968"}, {"ref": "jiwonkng/scikit-learn-vs-pycaret", "kernel_id": "25714988"}, {"ref": "gayeongzero/scikit-learn-vs-pycaret", "kernel_id": "25714989"}, {"ref": "wintersadh/scikit-learn-vs-pycaret", "kernel_id": "25714979"}, {"ref": "guillaumeminne/mljar-titanic-tps-cours-ml-v1-1", "kernel_id": "26045755"}, {"ref": "bricezy/mljarautoml-brice", "kernel_id": "26238237"}, {"ref": "yahyaouiachraf/titanic-survivals", "kernel_id": "27162970"}, {"ref": "nadaelatlassi/nada-spotify-eda-2", "kernel_id": "27166502"}, {"ref": "branlantthodorine/mljar-titanic-tps-cours-ml-v1-1", "kernel_id": "27186387"}, {"ref": "branlantthodorine/santander-customer-satisfaction", "kernel_id": "27186670"}, {"ref": "mana0822/notebooke0a683b6ed", "kernel_id": "28660878"}, {"ref": "khotijahs1/ml-experiment-tracking-with-truefoundry-platform", "kernel_id": "28250807"}, {"ref": "kentawatanabetotosya/overview-eda-model-20220618", "kernel_id": "28022688"}, {"ref": "tanakritngamnun/tab-apr-21-baseline-0-78623", "kernel_id": "28528462"}, {"ref": "stpeteishii/tps0421-lgbm-iterative-imputer", "kernel_id": "29364893"}, {"ref": "mohamedalifakri/titanic-project", "kernel_id": "29225600"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "keigakusei/trainingnow-tabularplaygroundseries-apr2021", "kernel_id": "31311595"}, {"ref": "siriusmhlee/study-tps-apr-2021", "kernel_id": "32787957"}, {"ref": "pyim59/pycaret-titanic-tps-cours-ml-v1-7", "kernel_id": "34126487"}, {"ref": "akekowsik/neural-network-hyperparameter-tuning", "kernel_id": "36923993"}, {"ref": "kerwintsai2000/pycaret-titanic-tps-ecpk-evan-2023", "kernel_id": "36393673"}, {"ref": "laurelenemarquilly/pycaret-titanic-tps-cours-ml-v1-7", "kernel_id": "36671421"}, {"ref": "mouadsadik/la2-sadik-pycaret-titanic-tps-cours-ml-v1-7", "kernel_id": "36849795"}, {"ref": "mathieumaes/pycaret-titanic-tps-cours-ml-v1-7", "kernel_id": "36849798"}, {"ref": "aleclercq/titanic-avec-pycaret", "kernel_id": "36849823"}, {"ref": "basilechevalier/basile-pycaret-titanic-tps-cours-ml-v1-7", "kernel_id": "36849925"}, {"ref": "huskyiiii/pycaret-titanic-tps-cours-ml-v1-7", "kernel_id": "36394566"}, {"ref": "thoduchamps/th-o-duchamps-pycaret-titanic-tps", "kernel_id": "36850027"}, {"ref": "vanshikapatel/tabular-playground-series-apr-2021", "kernel_id": "37380085"}, {"ref": "sec98b4e/tps-202104-histgbm-0-80282", "kernel_id": "37805185"}, {"ref": "mustaphaslimani/notebook14d005c82f", "kernel_id": "37922773"}, {"ref": "kimberlymaris/neural-network-hyperparameter-tuning", "kernel_id": "43421241"}, {"ref": "sofagaytnbarragn/start-go-2023-apprentissage-machine-sof-a-gayt-n", "kernel_id": "43604327"}, {"ref": "wanana20/tabular-playground-series-apr-2021", "kernel_id": "47156761"}, {"ref": "anirudhdagar/aide-solution-tabular-playground-series-apr-2021", "kernel_id": "69501464"}, {"ref": "stpeteishii/tps0421-titanic-lgbm-optuna-w-count-feature", "kernel_id": "71311497"}, {"ref": "youssefhergal/titanic-problem-ml-projet", "kernel_id": "72632847"}, {"ref": "sofianesun/ecpk-2025-exercices-sofiane-zy2424108", "kernel_id": "81778862"}, {"ref": "sofianesun/pycaret-titanic-tps-cours-ml-v1-7", "kernel_id": "81447533"}, {"ref": "stpeteishii/tps0421-mlp-iterative-imputer", "kernel_id": "82676429"}, {"ref": "syorin/notebook657f341793", "kernel_id": "86386034"}, {"ref": "zhaozimeng/zzzzzzm", "kernel_id": "86386198"}, {"ref": "sakodai/notebook70f59f6c9d", "kernel_id": "86385576"}, {"ref": "grapemikan/notebook87dd87db8d", "kernel_id": "86378176"}, {"ref": "okamoto06/notebook43f76517d3", "kernel_id": "86385626"}, {"ref": "rurururu35/notebook87dd87db8d", "kernel_id": "86857888"}, {"ref": "stpeteishii/tps-apr-2021-tabnet-baseline", "kernel_id": "87598202"}]}
{"competition_id": "26479", "kernels": [{"ref": "mt77pp/mljar-automl-optuna-tps-may-21", "kernel_id": "16674158"}, {"ref": "mt77pp/mljar-automl-tps-may-21", "kernel_id": "16645593"}, {"ref": "alexryzhkov/lightautoml-baseline-tps-may-2021", "kernel_id": "16645161"}, {"ref": "jeongyoonlee/adversarial-validation-with-lightgbm", "kernel_id": "16644041"}, {"ref": "jeongyoonlee/kaggler-dae-autolgb-baseline", "kernel_id": "16643024"}, {"ref": "jeongyoonlee/lightautoml-kaggler-dae-te-features", "kernel_id": "16981897"}, {"ref": "jeongyoonlee/keras-model-with-dae-te-features-tpu", "kernel_id": "16982296"}, {"ref": "rohanrao/automl-tutorial-tps-may-2021", "kernel_id": "16645769"}, {"ref": "dwin183287/tps-may-2021-eda-model", "kernel_id": "16672241"}, {"ref": "crained/tps-may-2021-simple-xgboost", "kernel_id": "16695476"}, {"ref": "pavelvod/gbm-supervised-pretraining", "kernel_id": "16081681"}, {"ref": "shrutisaxena/h2o-automl-code-for-beginners", "kernel_id": "16646965"}, {"ref": "jsmithperera/xgb-optuna", "kernel_id": "16823163"}, {"ref": "jsmithperera/xgb-smote-sample-weights", "kernel_id": "16845576"}, {"ref": "jsmithperera/tps-may-simple-mlp-smote", "kernel_id": "16643490"}, {"ref": "tomwarrens/tps-may-2021-lightgbm-optuna", "kernel_id": "16644046"}, {"ref": "tomwarrens/pycaret-tps-may-2021-starter", "kernel_id": "16644555"}, {"ref": "tomwarrens/ngboost-probabilistic-predictions-tps-may-21", "kernel_id": "16700116"}, {"ref": "marcinstasko/nmf-unsupervised-feature-selector", "kernel_id": "16958402"}, {"ref": "marcinstasko/pca-analysis-tutorial-from-scratch", "kernel_id": "16646244"}, {"ref": "tunguz/adversarial-tps-may-2021", "kernel_id": "16725204"}, {"ref": "lilkaskitc/tps-may-2021", "kernel_id": "16784673"}, {"ref": "belov38/catboost-catfeatures", "kernel_id": "16657607"}, {"ref": "susree64/tabular-playground-may21", "kernel_id": "16951326"}, {"ref": "nishantrock/may-playground", "kernel_id": "16672647"}, {"ref": "herwinvw/logloss-baseline", "kernel_id": "16697257"}, {"ref": "gpamoukoff/don-t-forget-the-feature-engineering", "kernel_id": "16787056"}, {"ref": "tthien/simple-eda-and-baseline-model", "kernel_id": "16647265"}, {"ref": "akash1000er/tps-may21-eda-manual-auto", "kernel_id": "16698241"}, {"ref": "gsdeepakkumar/playground-series-may-21-simple-rf-with-5-folds", "kernel_id": "16899314"}, {"ref": "gomes555/tps-may2021-r-tidymodels-stacks", "kernel_id": "16944629"}, {"ref": "gomes555/tps-may2021-r-eda-tidymodels-workflowsets", "kernel_id": "16986916"}, {"ref": "returnofsputnik/lgbm-all-categorical-hypothesis", "kernel_id": "16834834"}, {"ref": "returnofsputnik/may-tabular-coreys-eda", "kernel_id": "16661954"}, {"ref": "kritidoneria/tps-may-2021-intro-to-adversarial-validation", "kernel_id": "16831715"}, {"ref": "kritidoneria/automl-evalml-jane-street-market-prediction", "kernel_id": "16949360"}, {"ref": "harunshimanto/tps-2021-eda-build-an-artificial-neural-network", "kernel_id": "16821895"}, {"ref": "erikgarcia/tps-may-2021-logistic-regression", "kernel_id": "16915646"}, {"ref": "docxian/tabular-playground-5-multiclass-starter", "kernel_id": "16646011"}, {"ref": "onielg/tabnetandcatensemble", "kernel_id": "16713115"}, {"ref": "uthamkanth/tps-may-2021-eda-feature-selection", "kernel_id": "16643149"}, {"ref": "shashwatwork/breaking-the-leaderboard-with-mljar", "kernel_id": "16270893"}, {"ref": "ajpagotto/catboost-out-of-the-box", "kernel_id": "16679578"}, {"ref": "ajpagotto/fork-of-catboost-out-of-the-box", "kernel_id": "16680489"}, {"ref": "mstkmyhr/2021-05-15-tps-baseline-submission-by-lightgbm", "kernel_id": "16975151"}, {"ref": "luigisaetta/eda-tfdv1", "kernel_id": "16669502"}, {"ref": "raozjuil/tps-may-2021", "kernel_id": "16694454"}, {"ref": "tombresee/xgboost-drivers-license", "kernel_id": "16998614"}, {"ref": "prithviraj7387/tabular-playground-may-classification-eda", "kernel_id": "16850427"}, {"ref": "prithviraj7387/tabular-playground-may-classification-model", "kernel_id": "16856482"}, {"ref": "prithviraj7387/tabular-playground-may-model-tf", "kernel_id": "16971046"}, {"ref": "obiaf88/dimension-reduction-for-eda", "kernel_id": "16662957"}, {"ref": "manishsingh7163/tabular-playground-series-may-21", "kernel_id": "16925364"}, {"ref": "ankitp013/tps-catboost-tuning-shap-explained", "kernel_id": "16928123"}, {"ref": "pattnaiksatyajit/model-interpretability-shap-eli5", "kernel_id": "16749254"}, {"ref": "natthasit/tps-may", "kernel_id": "16798173"}, {"ref": "thiagopanini/presenting-xplotter-and-mlcomposer-on-tps-may21", "kernel_id": "16685318"}, {"ref": "hiromasatabuchi/algorithm-pipeline-gridsearch-simple-my-automl", "kernel_id": "16714063"}, {"ref": "manabendrarout/deep-learning-tabnet-starter-tps-may21", "kernel_id": "16675438"}, {"ref": "manabendrarout/soft-voting-ensemble-starter-tps-may21", "kernel_id": "16644499"}, {"ref": "lys620/tps-may-cnn", "kernel_id": "16880797"}, {"ref": "lys620/tps-may-eda", "kernel_id": "16691505"}, {"ref": "lys620/tps-may-automl", "kernel_id": "16784906"}, {"ref": "godzill22/tps-may-2021-eda-baseline-optuna-smote", "kernel_id": "16675452"}, {"ref": "faelk8/tabular-may-2021-eda-lgbm", "kernel_id": "16907167"}, {"ref": "stpeteishii/tabular-playground-conv1d", "kernel_id": "16783616"}, {"ref": "subinium/tps-may-categorical-eda", "kernel_id": "16641971"}, {"ref": "subinium/tps-may-deeplearning-pipeline-for-beginner", "kernel_id": "16642473"}, {"ref": "aerdem/tps-may-lgbm", "kernel_id": "16916975"}, {"ref": "poipii/tps-may-2021-model-benchmark", "kernel_id": "16644976"}, {"ref": "poipii/tps-may-2021-lgbm-tuned", "kernel_id": "16654612"}, {"ref": "poipii/tps-may-catbost-with-weighted-class", "kernel_id": "16667652"}, {"ref": "landist/umap-clustering-classification", "kernel_id": "16990098"}, {"ref": "palanjali007/xgbclassifier", "kernel_id": "16933257"}, {"ref": "barteksadlej123/very-informative-random-variable", "kernel_id": "16755413"}, {"ref": "udbhavpangotra/tps-may-21-extensive-eda-catboost-shap", "kernel_id": "16650344"}, {"ref": "daikikatsuragawa/tps-may-2021-benchmark-using-evalml", "kernel_id": "16646009"}, {"ref": "daikikatsuragawa/tps-may-2021-benchmark-using-autogluon", "kernel_id": "16644960"}, {"ref": "daikikatsuragawa/tps-may-2021-benchmark-using-mljar", "kernel_id": "16645487"}, {"ref": "donmarch14/may-playground-series-beginners-guide", "kernel_id": "16701447"}, {"ref": "umutoncu/tps-may-one-vs-rest-model-baseline", "kernel_id": "16880894"}, {"ref": "sureshmecad/tps-apr21-evalml-automl", "kernel_id": "16240617"}, {"ref": "sureshmecad/tps-may21-ecommerce-lightautoml", "kernel_id": "16688020"}, {"ref": "drcapa/tps-may21-tutorial-starter", "kernel_id": "16645553"}, {"ref": "ruchi798/tps-may-rapids", "kernel_id": "16645218"}, {"ref": "lykin22/tps-may21-xgboost-lgbm-lightautoml", "kernel_id": "16878153"}, {"ref": "xelorrelin/eda-pp-tabular-may-21", "kernel_id": "16663238"}, {"ref": "accountstatus/tps-may-starter", "kernel_id": "16643158"}, {"ref": "ahsu00/svm-tabular-playground-series-may-2021", "kernel_id": "16825928"}, {"ref": "ansh422/tps-may-simple-eda", "kernel_id": "16673657"}, {"ref": "cybrk5/tps-may2021-eda-and-lightautoml-80-catboost-20", "kernel_id": "16903560"}, {"ref": "andreshg/tps-may-a-complete-analysis", "kernel_id": "16663991"}, {"ref": "andreshg/automl-libraries-comparison", "kernel_id": "16119709"}, {"ref": "gurujaing/tps-starter-pack-using-boosting", "kernel_id": "16850045"}, {"ref": "siddharthpchauhan/tps-may-2021-for-begineers", "kernel_id": "16711867"}, {"ref": "siddharthpchauhan/tabular-playground-series-may-2021-using-pycaret", "kernel_id": "16784819"}, {"ref": "siddharthpchauhan/tabular-playground-may-2021-using-catboost", "kernel_id": "16781539"}, {"ref": "siddharthpchauhan/tps-may-2021-model-blending", "kernel_id": "16908376"}, {"ref": "siddharthpchauhan/tps-may-eda-log-transformation-voting", "kernel_id": "16970162"}, {"ref": "rajsengo/tps-may-tpot-automl-baseline", "kernel_id": "16644003"}, {"ref": "rajsengo/tps-may-21-kmeans-smote-xgboost-and-optuna", "kernel_id": "16919830"}, {"ref": "bhavikjain/tps-may-2021-eda-catboost-lightautoml", "kernel_id": "16643686"}, {"ref": "iamleonie/what-if-we-approach-this-as-text-classification", "kernel_id": "16712247"}, {"ref": "tbourton/tps-baseline", "kernel_id": "16849608"}, {"ref": "tbourton/tps-eda-classification", "kernel_id": "16847864"}, {"ref": "tbourton/tps-xgboost-smote", "kernel_id": "16872514"}, {"ref": "ashwinrachha1/lgbmclassifier-optuna", "kernel_id": "16659959"}, {"ref": "sahilpalarpwar/xgboost-first", "kernel_id": "16645914"}, {"ref": "melanie7744/tps5-xgboost-commented", "kernel_id": "16908489"}, {"ref": "melanie7744/tps5-eda-raising-more-questions-than-answers", "kernel_id": "16717184"}, {"ref": "fusioncenter/resnet-architecture-with-categorical-embeddings", "kernel_id": "16842010"}, {"ref": "rajgandhi/tps-march-calibration", "kernel_id": "16656985"}, {"ref": "antonellomartiello/tps-may-with-mljar-cb-xgb-simple-approach", "kernel_id": "16881756"}, {"ref": "antonellomartiello/tps-may-with-tpot", "kernel_id": "16857023"}, {"ref": "antonellomartiello/tps-may-eda-visualization-with-plotly-mljar", "kernel_id": "16657785"}, {"ref": "antonellomartiello/catboost-optuna-clipped-probabilities", "kernel_id": "16691401"}, {"ref": "akioonodera/tps-may2021-xgboost", "kernel_id": "16650213"}, {"ref": "rismish/eda-sweetviz-autoviz", "kernel_id": "16698692"}, {"ref": "yasserhessein/tps-may21-withe-best-score-99", "kernel_id": "16724005"}, {"ref": "juanromera/tabular-playground-may-2021", "kernel_id": "16677680"}, {"ref": "makarbaderko/first-look-at-tabular-dataset", "kernel_id": "16872529"}, {"ref": "bhimantoros/tps-may-2021-mlp-class-weighting-cv", "kernel_id": "16648224"}, {"ref": "kshitijmohan/catboost-baseline", "kernel_id": "16643966"}, {"ref": "salhimohamednadjib/mlp-b-char", "kernel_id": "16665707"}, {"ref": "remekkinas/shap-lgbm-looking-for-best-features", "kernel_id": "16879252"}, {"ref": "remekkinas/tps-5-hydra-keras-weighted-embedding-mix", "kernel_id": "16803953"}, {"ref": "remekkinas/tps5-is-about-sparsity-shap-extensive", "kernel_id": "16940501"}, {"ref": "remekkinas/cnn-2d-convolution-for-solving-tps-05", "kernel_id": "16723245"}, {"ref": "remekkinas/tps-5-weighted-training-xgb-rf-lr-smote", "kernel_id": "16755847"}, {"ref": "remekkinas/tps-5-pytorch-nn-for-tabular-step-by-step", "kernel_id": "16766118"}, {"ref": "ranjeetshrivastav/tps-may-tuning-ann-using-randomizedsearchcv", "kernel_id": "16679526"}, {"ref": "ranjeetshrivastav/tps-may-2021-stacking", "kernel_id": "16719781"}, {"ref": "blackhurt/basic-approach", "kernel_id": "16868987"}, {"ref": "debarshichanda/tps-may-21-xgboost-optuna", "kernel_id": "16703973"}, {"ref": "duythanhng/tps-may-keras-stratifiedkfold", "kernel_id": "16695078"}, {"ref": "jamesbond00700/tabular-may-log-res", "kernel_id": "16683161"}, {"ref": "napetrov/svm-tps-may-2021-with-scikit-learn-intelex", "kernel_id": "16975679"}, {"ref": "pranjalverma08/tps-may-21-the-ensemble-approach-with-optuna", "kernel_id": "16763998"}, {"ref": "sourabhy/tps-may", "kernel_id": "16753125"}, {"ref": "akhilprasannan/extratreesclassifier-and", "kernel_id": "16757423"}, {"ref": "sumandey/automl-lazy-predict-training-30-classifiers", "kernel_id": "16989369"}, {"ref": "yhirakawa/tbs-may-eda-xgboost-optuna", "kernel_id": "16758062"}, {"ref": "igalbronshtein/tpsmay21-categorical-features-with-catboost", "kernel_id": "16661624"}, {"ref": "igalbronshtein/tpsmay21-baseline-randomforest-xgboost-catboost", "kernel_id": "16658124"}, {"ref": "igalbronshtein/tpsmay21-emojis", "kernel_id": "16896467"}, {"ref": "sayantansadhu/tps-may-complete-step-by-step-notebook", "kernel_id": "16687767"}, {"ref": "hakanerdogan/tps-may-2021-multiple-algorithms-loss-function", "kernel_id": "16660761"}, {"ref": "munumbutt/kfold-tuned-ensemble-boosted-trees", "kernel_id": "16695774"}, {"ref": "bruceharold/eda-feature-and-class-characteristics", "kernel_id": "16788738"}, {"ref": "tracyporter/tab-may-2021-bayesianridge", "kernel_id": "16937839"}, {"ref": "tracyporter/tab-may-2021-perceptron", "kernel_id": "16894971"}, {"ref": "tracyporter/tab-may-2021-linear-regression", "kernel_id": "16910332"}, {"ref": "tracyporter/tab-may-2021-smote", "kernel_id": "16789860"}, {"ref": "omkarchoulwar/tps-may-21-eda-and-models", "kernel_id": "16754393"}, {"ref": "cinciadedadoscomr/ecommerce-eda", "kernel_id": "16695556"}, {"ref": "cinciadedadoscomr/ecommerce-cluster-k-means", "kernel_id": "16952094"}, {"ref": "desalegngeb/may-2021-tps-eda-single-model-xgboost-1-08649-lb", "kernel_id": "16661942"}, {"ref": "thejas112/tabular-playground-series-may2021-v2", "kernel_id": "16839379"}, {"ref": "krystianwicherek/tps-may-eda-and-model", "kernel_id": "16777664"}, {"ref": "phantazyq/baseline-catboost-without-params", "kernel_id": "16968895"}, {"ref": "maostack/tps-05-expreriment-on-undersampling", "kernel_id": "16802616"}, {"ref": "gauravsarkar/tpsmay-top-500-solution", "kernel_id": "16921534"}, {"ref": "aipi12/eda-lgbm-optuna-using-gpu", "kernel_id": "16865586"}, {"ref": "aipi12/dae-implementation-with-keras", "kernel_id": "16972799"}, {"ref": "aipi12/eda-catboost-optuna", "kernel_id": "16955565"}, {"ref": "hayahiko/tps-may-easy-way-catboost-optuna-step-by-step", "kernel_id": "16727285"}, {"ref": "hayahiko/tps-may-easy-way-lgbm-optuna-step-by-step", "kernel_id": "16656530"}, {"ref": "hayahiko/tps-may-lgbm-smote-or-adsyn", "kernel_id": "16853490"}, {"ref": "hayahiko/tps-may-lgbm-umap-clustering-optuna", "kernel_id": "16952988"}, {"ref": "ash112/tps-may-2021", "kernel_id": "16690088"}, {"ref": "yus002/blending-tool-auto-generation", "kernel_id": "16668426"}, {"ref": "yus002/logistic-regression-optuna-tuning", "kernel_id": "16651588"}, {"ref": "yus002/tuning-an-artificial-neural-network", "kernel_id": "16832677"}, {"ref": "jeongbinpark/tps-may-simple-dnn", "kernel_id": "16675431"}, {"ref": "nishantdhingra/cb-lgbm-xgb-lazy-stack-approach", "kernel_id": "16662238"}, {"ref": "nishantdhingra/h2o-automl-kfold", "kernel_id": "16778228"}, {"ref": "pavfedotov/tps-may-2021-mlp-keras", "kernel_id": "16840606"}, {"ref": "shunsukeyamamoto/tps-may-2021", "kernel_id": "16654562"}, {"ref": "kiranclement/tps-may-21", "kernel_id": "16845892"}, {"ref": "hwangjihun/tps-may-2021-xgboost-starters-for-beginners", "kernel_id": "16644374"}, {"ref": "gcmadhan/tabular-playground-may-2021-h2o-ai", "kernel_id": "16688429"}, {"ref": "greengamma/stratifiedkfold-with-lightgbm", "kernel_id": "16914248"}, {"ref": "greengamma/stratifiedkfold-with-svm", "kernel_id": "16953430"}, {"ref": "mujinjo/tps-may-2021-eda-and-xgboost-mjjo", "kernel_id": "16701387"}, {"ref": "xiaolx/unbalanced-sample", "kernel_id": "16967044"}, {"ref": "wangyapeng1023/320192862-resnet", "kernel_id": "16648456"}, {"ref": "vexxingbanana/tps-may-dnn-implementation-with-functional-api", "kernel_id": "16936464"}, {"ref": "dishank422/multiclass-classification-using-svm", "kernel_id": "16667687"}, {"ref": "phanigubbala/what-if-we-approach-this-as-text-classification", "kernel_id": "16752558"}, {"ref": "polinakoroleva/tps-apr", "kernel_id": "16988677"}, {"ref": "jsmithperera/rf-kmeans-optuna", "kernel_id": "17096107"}, {"ref": "lilkaskitc/tps-june-2021", "kernel_id": "17457640"}, {"ref": "tharunreddy/eda-xgboost-baseline-grid-search-for-starters", "kernel_id": "17274016"}, {"ref": "gomes555/tps-may2021-stacking", "kernel_id": "17170530"}, {"ref": "gomes555/tps-may2021-optuna-tuner-one-x-rest", "kernel_id": "17168780"}, {"ref": "gomes555/tps-may2021-optuna-lightgbm-tuner", "kernel_id": "17114678"}, {"ref": "gomes555/tps-may2021-optuna-lightgbm-tpe", "kernel_id": "17092789"}, {"ref": "gomes555/tps-may2021-r-dae-keras", "kernel_id": "17019615"}, {"ref": "erikgarcia/tps-may-2021-trivial-solution", "kernel_id": "17042964"}, {"ref": "tiwariayan/eda-pca-xgboost", "kernel_id": "17301272"}, {"ref": "mstkmyhr/2021-05-16-tps5-umap-lightgbm", "kernel_id": "17002454"}, {"ref": "caiquefcoelho/tabular-playground-may", "kernel_id": "17318367"}, {"ref": "maverix/models-stacking-meta-model-training", "kernel_id": "17177864"}, {"ref": "maverix/oof-weighted-ensemble", "kernel_id": "17007868"}, {"ref": "robert76/tps-may-blending", "kernel_id": "17213463"}, {"ref": "anonamename/4-eda-libraries-test", "kernel_id": "17250317"}, {"ref": "arindam235/tabplayground-may21", "kernel_id": "17356915"}, {"ref": "prithviraj7387/tabular-playground-may-pytorch", "kernel_id": "17125813"}, {"ref": "trimparashut/boosting-ensemble-simple-baseline", "kernel_id": "17169134"}, {"ref": "brookie210/cat-lgbm-blended", "kernel_id": "17352591"}, {"ref": "brookie210/tps-may2021-catboost-baseline-model", "kernel_id": "17215505"}, {"ref": "srhyeu/tps-may-tidymodels-tutorial-with-r-tidymodels", "kernel_id": "17005390"}, {"ref": "keenborder/kaggle-may-practice", "kernel_id": "17330975"}, {"ref": "maunish/tps-may-lgbm-goes-brrrr", "kernel_id": "17286001"}, {"ref": "nacmarino/tps202105-lightgbm-optuned", "kernel_id": "17150044"}, {"ref": "tatakkun/playground-series-05-2021", "kernel_id": "17004745"}, {"ref": "bhardwajshivam121/tabular-nn-may21", "kernel_id": "17109729"}, {"ref": "piantic/tps-june-2021-basic-eda-t-sne-visualization", "kernel_id": "17363390"}, {"ref": "harisonmwangi/tps-may-2021-eda", "kernel_id": "17167243"}, {"ref": "ritesh7355/tps-may21-xgboost-lightautoml", "kernel_id": "17063583"}, {"ref": "siddharthpchauhan/tps-vote-catboost-lgbm-bernoullinb", "kernel_id": "17084660"}, {"ref": "siddharthpchauhan/tps-may-using-tensorflow-decision-forest", "kernel_id": "17220179"}, {"ref": "siddharthpchauhan/tps-may-log-transformation-vote-cb-lgbm-xgb", "kernel_id": "17181929"}, {"ref": "jtourkis/tab-keras-multiclass-neural-network", "kernel_id": "17276324"}, {"ref": "anks7190/hyperopt-and-catboost-crossvalidation", "kernel_id": "17049093"}, {"ref": "hariharannarayanan/which-gradient-boosting-is-better", "kernel_id": "17365487"}, {"ref": "rockyyashchauhan/notebook4ebeceb17f", "kernel_id": "17288148"}, {"ref": "fusioncenter/keras-embeddings-with-resnet-architecture", "kernel_id": "17213385"}, {"ref": "mehrankazeminia/tps-may-21-catboost-tabularutilizedautoml", "kernel_id": "17176122"}, {"ref": "mukundsojitra/tps-may-2021", "kernel_id": "17221665"}, {"ref": "minhn520/tabular-playground-may-xgboost", "kernel_id": "17169732"}, {"ref": "remekkinas/autoencoder-dae-embeddings-lightautoml-mljar", "kernel_id": "17055083"}, {"ref": "remekkinas/skorch-tutorial-simple-pytorch-nn-with-scikit", "kernel_id": "17267970"}, {"ref": "paramond/stacking-voting-ensemble", "kernel_id": "17258792"}, {"ref": "paramond/notebookceeacaac78", "kernel_id": "17236395"}, {"ref": "paramond/notebookdea6627b94", "kernel_id": "17180159"}, {"ref": "yhirakawa/tbs-may-mutual-information", "kernel_id": "17014785"}, {"ref": "yhirakawa/lightautoml-baseline-tps-may-2021", "kernel_id": "17171693"}, {"ref": "azzamradman/top-2-lightautoml-stacking", "kernel_id": "17364188"}, {"ref": "sagnik1511/tabular-playground-eda-prediction-under-100", "kernel_id": "17004176"}, {"ref": "shivakumargingade/tabular-playground-series-mlp", "kernel_id": "17357812"}, {"ref": "krishnamore/evalautoml-tabular-playground-series-may-2021", "kernel_id": "17781296"}, {"ref": "julius1r/my-approach-for-this-competition-15th-place", "kernel_id": "17457908"}, {"ref": "lazaro97/tps-may-stacking-blending-pseudolabelling", "kernel_id": "17234670"}, {"ref": "smita09/tabular-series-beginner-solution", "kernel_id": "17353518"}, {"ref": "kumardeepu/tabular-playground-series-may-2021", "kernel_id": "17031167"}, {"ref": "ryanbarretto/boring-blend-of-stack-and-weights", "kernel_id": "17135755"}, {"ref": "pourchot/nn-model-and-gradient-boosted-trees-assembled", "kernel_id": "17261603"}, {"ref": "pourchot/blending-neural-networks-weights-optimization", "kernel_id": "17334081"}, {"ref": "pourchot/tensorflow-gradient-boosting", "kernel_id": "17239876"}, {"ref": "pourchot/nn-on-dae-col-embedding-row-embedding-conv1d", "kernel_id": "17216497"}, {"ref": "pourchot/columns-embedding-row-embedding-conv1d-onehot", "kernel_id": "17188039"}, {"ref": "pourchot/only-tf-keras-decision-forest-conv1d-embedding-seq", "kernel_id": "17090236"}, {"ref": "pourchot/3-keras-functional-api-concatenated", "kernel_id": "17020752"}, {"ref": "pourchot/keras-concat-sequential-api-conv1d-embedding", "kernel_id": "17010955"}, {"ref": "jenssvensmark/scikit-stacking-tabular-play-may", "kernel_id": "17370445"}, {"ref": "jagunn/tps-may-2021-xgbc", "kernel_id": "17078266"}, {"ref": "jagunn/smotetomek-a-beginners-guide", "kernel_id": "17261100"}, {"ref": "phawatmakhaphan/tabular-playground-with-decision-tree", "kernel_id": "17344420"}, {"ref": "antoreepjana/feature-reduction-on-dae-te-le-features-tps0521", "kernel_id": "17163045"}, {"ref": "antoreepjana/how-similar-are-training-test-data-shift", "kernel_id": "17173702"}, {"ref": "sivasankarmc/tps-may21-xgb-shap", "kernel_id": "17323423"}, {"ref": "meihanw/tps-may-automl-tables-benchmark", "kernel_id": "17226996"}, {"ref": "shreyanshkabra/tps-may2021", "kernel_id": "17139810"}, {"ref": "jonaspalucibarbosa/tps05-21-model-stacking-meta-learner-lr", "kernel_id": "17296558"}, {"ref": "jonaspalucibarbosa/tps05-21-lgbm-tuned-w-hyperopt", "kernel_id": "17237365"}, {"ref": "jonaspalucibarbosa/tps05-21-nn-with-keras-first-nn", "kernel_id": "17209119"}, {"ref": "mykeysid10/tps-may-catboost", "kernel_id": "17344907"}, {"ref": "konovalvolodymyr/ml-rgr", "kernel_id": "17121914"}, {"ref": "williamojemann/ecommerce", "kernel_id": "17321444"}, {"ref": "omkarpatil0217/tabular-may-op", "kernel_id": "17357792"}, {"ref": "poltitor/tps-may-xgboost-lgbm-cb-lightautoml", "kernel_id": "17063263"}, {"ref": "aphilip/may-tps-fastai-tabular-with-smote-resampling", "kernel_id": "17119973"}, {"ref": "aphilip/maytps-comparison-of-5-models-and-umaps", "kernel_id": "17289141"}, {"ref": "stpeteishii/tps0521-xgboost-optuna", "kernel_id": "18370742"}, {"ref": "stpeteishii/tps0521-lightgbm-optuna", "kernel_id": "18286260"}, {"ref": "arvindbudh/may-comp", "kernel_id": "18759616"}, {"ref": "danieljhk/lgbm-baseline", "kernel_id": "18263316"}, {"ref": "danieljhk/top-2-lightautoml-stacking", "kernel_id": "18591317"}, {"ref": "bextuychiev/advanced-time-series-analysis-decomposition", "kernel_id": "18552057"}, {"ref": "junhang/tabular-xgboost", "kernel_id": "18247852"}, {"ref": "kudasovdmitriy/stacked-tabula", "kernel_id": "18431830"}, {"ref": "kritidoneria/automl-mljar-fe-modelling-ensemble-tps-aug-21", "kernel_id": "20111450"}, {"ref": "bextuychiev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "20289477"}, {"ref": "aryaaryan/tps-may2021-r-eda-tidymodels-workflowsets", "kernel_id": "20339565"}, {"ref": "rhythmcam/optuna-basic-integration-lightgbm", "kernel_id": "23672916"}, {"ref": "hosseinbehjat/xgboost-randomized-grid-search", "kernel_id": "23447882"}, {"ref": "ranasaurus/pycaret-automl-classification", "kernel_id": "24873159"}, {"ref": "shagkala/extensive-eda-shap-beginners", "kernel_id": "26848593"}, {"ref": "nikolaikudriavtsev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "28161869"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "abhishek/tabpfn1", "kernel_id": "31557015"}, {"ref": "tunguz/logistic-regression-0", "kernel_id": "31565101"}, {"ref": "tunguz/hgbc-0", "kernel_id": "31565313"}, {"ref": "tunguz/svc-0", "kernel_id": "31565752"}, {"ref": "azzamradman/dl-class-lab-1-tutorial", "kernel_id": "31497833"}, {"ref": "azzamradman/dl-class-lab-1-students", "kernel_id": "31835942"}, {"ref": "azzamradman/dl-class-lab-2-full", "kernel_id": "32087737"}, {"ref": "sec98b4e/tps202105-vc", "kernel_id": "38141478"}, {"ref": "masanum/final-kadai", "kernel_id": "48007095"}, {"ref": "tkoyama010/skorch-tutorial-simple-pytorch-nn-with-scikit", "kernel_id": "81902777"}, {"ref": "sezginkyle/tabular-playground-series", "kernel_id": "89468775"}]}
{"competition_id": "26480", "kernels": [{"ref": "mt77pp/mljar-automl-tps-jun-21", "kernel_id": "17367504"}, {"ref": "alexryzhkov/lightautoml-baseline-tps-june-2021", "kernel_id": "17367216"}, {"ref": "alexryzhkov/python-keras-nn-residual", "kernel_id": "17463373"}, {"ref": "jeongyoonlee/tps-6-adversarial-validation", "kernel_id": "17384248"}, {"ref": "jeongyoonlee/tps-6-supervised-dae-keras-gpu", "kernel_id": "17386100"}, {"ref": "jeongyoonlee/tps-6-supervised-dae-autolgb", "kernel_id": "17391633"}, {"ref": "rohanrao/automl-tutorial-tps-june-2021", "kernel_id": "17365576"}, {"ref": "paddykb/tps-06-exploring-features-lasso", "kernel_id": "17441260"}, {"ref": "dwin183287/tps-june-2021-eda", "kernel_id": "17377749"}, {"ref": "optimo/tabnetbaseline", "kernel_id": "17552587"}, {"ref": "shrutisaxena/h2o-automl-tps-june-2021", "kernel_id": "17375391"}, {"ref": "jsmithperera/mlp-optuna-lgbm", "kernel_id": "17436694"}, {"ref": "jsmithperera/lgmb-optuna", "kernel_id": "17385476"}, {"ref": "jsmithperera/stacking-ensemble", "kernel_id": "17859751"}, {"ref": "tomwarrens/eda-lgbm-optuna-tps-june", "kernel_id": "17366114"}, {"ref": "mamun06/gradientboosting-bayesopt", "kernel_id": "17430729"}, {"ref": "usharengaraju/tps-june-weights-and-biases", "kernel_id": "17779931"}, {"ref": "stautxie/tabular-jun-2021-baseline", "kernel_id": "17830051"}, {"ref": "tunguz/adversarial-tps-june-2021", "kernel_id": "17469797"}, {"ref": "tunguz/june-21-tps-h2o-automl", "kernel_id": "17565908"}, {"ref": "tunguz/tps-june-2021-histgradientboosting-baseline", "kernel_id": "17799334"}, {"ref": "tunguz/tps-6-21-tensorflow-decision-forests-baseline", "kernel_id": "17970536"}, {"ref": "soerendip/xgboost-on-gpu", "kernel_id": "17363648"}, {"ref": "soerendip/fastai", "kernel_id": "17404797"}, {"ref": "lilkaskitc/tps-june-2021", "kernel_id": "17457640"}, {"ref": "rsesha/june-tps-deep-learning-1-82-score", "kernel_id": "17719580"}, {"ref": "jdunavin/june-2021-tps-model-3-lightgbm", "kernel_id": "17535807"}, {"ref": "jdunavin/june-2021-tps-eda-and-modeling", "kernel_id": "17453786"}, {"ref": "tharunreddy/tps-june-catboost-tutorial", "kernel_id": "17959832"}, {"ref": "tharunreddy/tps-june-xgboost-tutorial", "kernel_id": "17405225"}, {"ref": "susree64/tabular-playground-june-2021", "kernel_id": "17484126"}, {"ref": "suryaprakash71/tps-june2021-simple-feedforwad-n-w", "kernel_id": "17877580"}, {"ref": "socathie/randomforestclassifier", "kernel_id": "17938734"}, {"ref": "wwhlazio/june-challenge", "kernel_id": "17884597"}, {"ref": "msafi04/tensorflow-decisionforests-demo-tps-june", "kernel_id": "17368550"}, {"ref": "ekrembayar/tps-jun-2021-lgbm", "kernel_id": "17475290"}, {"ref": "jotaro/good-starting-point-lightgbm-optuna-baseline", "kernel_id": "17518253"}, {"ref": "vineethakkinapalli/tps-06-21-5-auto-ml-2-optuna", "kernel_id": "17365881"}, {"ref": "andrewkkchoi/addressing-same-training-data-w-different-labels", "kernel_id": "17455219"}, {"ref": "hiroshi0530/optuna-boruta-selected-features", "kernel_id": "17905729"}, {"ref": "hiroshi0530/first-sub-lgbm-optuna", "kernel_id": "17484417"}, {"ref": "gomes555/tps-jun2021-autogluon", "kernel_id": "17905473"}, {"ref": "gomes555/tps-jun2021-r-eda-pca-umap-tsne-ae", "kernel_id": "17867943"}, {"ref": "gomes555/tps-jun2021-lightautoml", "kernel_id": "17800691"}, {"ref": "gomes555/tps-jun2021-r-wide-deep-keras", "kernel_id": "17977936"}, {"ref": "gomes555/tps-jun2021-r-nn-residual-keras", "kernel_id": "17994974"}, {"ref": "gomes555/tps-jun2021-r-h2o-automl", "kernel_id": "17614001"}, {"ref": "gomes555/tps-jun2021-lightgbm-optuna", "kernel_id": "17480037"}, {"ref": "gomes555/tps-jun2021-tabnetclassifier", "kernel_id": "17497493"}, {"ref": "gomes555/tps-jun2021-catboost-optuna", "kernel_id": "17495078"}, {"ref": "gomes555/tps-jun2021-feature-selection-lightgbm-tuner", "kernel_id": "17677762"}, {"ref": "gomes555/tps-jun2021-r-eda-tidymodels-lightgbm-baseline", "kernel_id": "17362579"}, {"ref": "gomes555/tps-jun2021-lightgbmtunercv", "kernel_id": "17363690"}, {"ref": "kritidoneria/decision-forest-for-dummies", "kernel_id": "17510933"}, {"ref": "kritidoneria/beginner-automl-evalml-tps-jun21-baseline", "kernel_id": "17423175"}, {"ref": "kritidoneria/beginner-tps-june21-eda-in-two-lines-of-code", "kernel_id": "17403819"}, {"ref": "bastian1206/tp-xgboost-random-search-cv", "kernel_id": "17608064"}, {"ref": "bastian1206/tabular-playground-random-forest-baseline", "kernel_id": "17413744"}, {"ref": "bastian1206/tabular-playground-decision-tree-baseline", "kernel_id": "17459027"}, {"ref": "bastian1206/tp-keras-nn-baseline", "kernel_id": "17459054"}, {"ref": "kumarsrikant/tps-keras", "kernel_id": "17906522"}, {"ref": "docxian/tabular-playground-6-multiclass-prediction", "kernel_id": "17419679"}, {"ref": "tiwariayan/eda-features-catboost-beginner-s-guide", "kernel_id": "17652511"}, {"ref": "whenthetidegoesout/june-playground", "kernel_id": "17598634"}, {"ref": "onielg/fastai-embeddings-to-catboost", "kernel_id": "17393049"}, {"ref": "shashwatwork/breaking-the-leaderboard-with-mljar-tps-june", "kernel_id": "17776754"}, {"ref": "bidgoli/lightgbm-a-very-minimalistic-notebook-1-75", "kernel_id": "17363289"}, {"ref": "deb009/tps-june-2021-eda-baseline-optuna-lightgbm-model", "kernel_id": "17389859"}, {"ref": "sayancht92/tabular-playground-june-eda-baseline", "kernel_id": "17850543"}, {"ref": "scchuy/tabular-play-202106-baseline", "kernel_id": "17521009"}, {"ref": "scchuy/residual-network-for-tabular-data-python-tf2", "kernel_id": "17586331"}, {"ref": "alex97andreev/tps-jun-default-autogluon", "kernel_id": "17624747"}, {"ref": "alex97andreev/tps-jun-autogluon-with-sklearnex", "kernel_id": "17548244"}, {"ref": "trimparashut/boosting-ensemble-baseline", "kernel_id": "17383136"}, {"ref": "sayedathar11/tps-feature-engg-modelling-and-imp-1-75-cv", "kernel_id": "17376244"}, {"ref": "brookie210/tps-june2021-cat-lgbm-blended", "kernel_id": "17365359"}, {"ref": "brookie210/tps-june2021-catboost-baselinemodel", "kernel_id": "17364409"}, {"ref": "brookie210/tps-june2021-lightbgm-baseline-model", "kernel_id": "17364965"}, {"ref": "brookie210/tps-june2021-lightbgm-optuna", "kernel_id": "17380415"}, {"ref": "brookie210/blending", "kernel_id": "17431541"}, {"ref": "altinsoyemrecan/tps-june-optuna-pytorch-starter", "kernel_id": "17399090"}, {"ref": "natthasit/tps-jun-lgbm", "kernel_id": "17375627"}, {"ref": "hongpeiyi/applying-various-dimensionality-reduction-methods", "kernel_id": "17505989"}, {"ref": "hongpeiyi/train-a-simple-neural-network-with-fastai", "kernel_id": "17412603"}, {"ref": "hongpeiyi/a-simple-baseline-method-with-random-forest", "kernel_id": "17411726"}, {"ref": "kppetrov/tps-jun-fast-logreg-with-scikit-learn-intelex", "kernel_id": "17918924"}, {"ref": "kaustubh93/baseline-xgboost-catboost-optuna-shap-tps-06", "kernel_id": "17364507"}, {"ref": "prakharprasad/tps-june-2021", "kernel_id": "17550153"}, {"ref": "tachunliu/kaggle-tabular-june-2021-test-file", "kernel_id": "17509749"}, {"ref": "hongjae6/baseline-for-beginners-using-lightgbm-d", "kernel_id": "17413675"}, {"ref": "omarvivas/kaggletorch-v1", "kernel_id": "17489450"}, {"ref": "omarvivas/kerasmodel-tps-jun2021", "kernel_id": "17456890"}, {"ref": "godzill22/tps-jun-2021-eda-tensorflow-explained", "kernel_id": "17370134"}, {"ref": "faelk8/tps-jun-2021-automl", "kernel_id": "17394858"}, {"ref": "stpeteishii/tabular-playground-june-2021-visualize-importance", "kernel_id": "17849962"}, {"ref": "stpeteishii/tabular-playground-june-2021-lgbm", "kernel_id": "17570325"}, {"ref": "stpeteishii/tabular-playground-june-2021-xgboost", "kernel_id": "17543533"}, {"ref": "stpeteishii/tabular-playground-june-2021-conv1d", "kernel_id": "17504509"}, {"ref": "subinium/tps-jun-this-is-original-eda-viz", "kernel_id": "17363633"}, {"ref": "aerdem/tps-june-lgbm-optuna", "kernel_id": "17403740"}, {"ref": "noussaons/beginners-simple-logistic-regression-pipelines", "kernel_id": "17543406"}, {"ref": "boss0ayush/easy-implementation-using-one-vs-rest-classifier", "kernel_id": "17668302"}, {"ref": "boss0ayush/simple-nn-implementation-for-beginners-top-7", "kernel_id": "17719868"}, {"ref": "daikikatsuragawa/tps-jun-2021-benchmark-using-autogluon", "kernel_id": "17375266"}, {"ref": "daikikatsuragawa/tps-jun-2021-benchmark-using-mljar", "kernel_id": "17375402"}, {"ref": "daikikatsuragawa/tps-jun-2021-benchmark-using-evalml", "kernel_id": "17375445"}, {"ref": "vivanvatsa/easy-sub-tps-june-21-v-init-1-0", "kernel_id": "17365379"}, {"ref": "donmarch14/tps-june-beginner-s-guide", "kernel_id": "17518301"}, {"ref": "sureshmecad/tps-june-2021-lightautoml", "kernel_id": "17736999"}, {"ref": "tarzon/tabular-playground-series-jun21", "kernel_id": "17984900"}, {"ref": "sahib12/stacking-tps-june-2021", "kernel_id": "17954732"}, {"ref": "oxzplvifi/tabular-residual-network", "kernel_id": "17406649"}, {"ref": "piantic/tps-june-2021-basic-eda-t-sne-visualization", "kernel_id": "17363390"}, {"ref": "prajittr/tps-simple-xgb-score-1-76414", "kernel_id": "17514056"}, {"ref": "somesh25171/tabular-playground", "kernel_id": "17879854"}, {"ref": "siddharthpchauhan/tps-may-2021-eda-preprocessing-tensorflow-df", "kernel_id": "17438778"}, {"ref": "siddharthpchauhan/tps-june-tensorflow-keras-tuner", "kernel_id": "17542709"}, {"ref": "jackstapleton/tps-june-baseline", "kernel_id": "17365597"}, {"ref": "the0electronic0guy/data-visualisation-and-keras-net", "kernel_id": "17877061"}, {"ref": "satwikd/tps-june-attempt1", "kernel_id": "17897236"}, {"ref": "bhavikjain/tps-june-21-eda-models", "kernel_id": "17392135"}, {"ref": "nayuts/you-can-try-auto-eda-tips-with-dataprep", "kernel_id": "17477623"}, {"ref": "nayuts/tps-06-solution-assortment-eda-optuna-ensemble", "kernel_id": "17363079"}, {"ref": "melanie7744/tps6-eda-comparison-to-tps5", "kernel_id": "17376051"}, {"ref": "melanie7744/tps6-boost-your-score-with-knn-features", "kernel_id": "17686994"}, {"ref": "amritpal333/fastai-tabnet", "kernel_id": "17555943"}, {"ref": "amritpal333/eda-to-automl-all-explained", "kernel_id": "17925390"}, {"ref": "maksymshkliarevskyi/tps-jun-starting-point-eda-baseline-cv", "kernel_id": "17365925"}, {"ref": "amartyabhattacharya/tps-pca-eda-model-comparisons", "kernel_id": "17365392"}, {"ref": "fusioncenter/residual-network-for-tabular-data", "kernel_id": "17562740"}, {"ref": "tensorchoko/lightautoml-tps-june-2021", "kernel_id": "17615563"}, {"ref": "lukaszborecki/tps-06-tensorflow-work-in-progress-book", "kernel_id": "17365486"}, {"ref": "chinmayjain767/h2o-ai-lb-score-1-753", "kernel_id": "17275268"}, {"ref": "chinmayjain767/seeing-the-data", "kernel_id": "17430840"}, {"ref": "krishnavaghosh/getting-started-with-keras-and-tensorflow", "kernel_id": "17489686"}, {"ref": "bernhardklinger/june-tps-fastai-v2", "kernel_id": "17885698"}, {"ref": "antonellomartiello/tps06-autogluon", "kernel_id": "17926657"}, {"ref": "antonellomartiello/tps-06-autokeras", "kernel_id": "17541516"}, {"ref": "antonellomartiello/tps-06-mljar-quick-approach-with-eda", "kernel_id": "17367408"}, {"ref": "mehrankazeminia/1-tps-jun-21-histgradient-catboost-nn", "kernel_id": "17630375"}, {"ref": "mehrankazeminia/2-tps-jun-21-comparative-method-for-classifier", "kernel_id": "17711685"}, {"ref": "akioonodera/tps-jun2021-lgbmclassifier", "kernel_id": "17396859"}, {"ref": "akioonodera/tps-jun2021-xgboost", "kernel_id": "17441484"}, {"ref": "siddheshkadam/tps-eda-extratreesclassifier", "kernel_id": "17382403"}, {"ref": "niloyswe/tps-june-2021", "kernel_id": "17507993"}, {"ref": "niloyswe/visualization-and-model", "kernel_id": "17374181"}, {"ref": "sankets15/tps-jun-lgbm1-with-cross-validation", "kernel_id": "17381261"}, {"ref": "josephmittelstaedt/tps-june-2021-target-encoding-pca", "kernel_id": "17566709"}, {"ref": "sauravmaheshkar/tps-june-2021-simple-tabnet-starter", "kernel_id": "17363386"}, {"ref": "sohommajumder21/neural-networks-no-complex-codes-tps-june-2021", "kernel_id": "17393964"}, {"ref": "jessemostipak/getting-started-with-tidymodels-and-xgboost", "kernel_id": "17452895"}, {"ref": "pierrejeanne/tps-jun-2021", "kernel_id": "17366467"}, {"ref": "scr0ll0/tabular-playground-series-june-2021", "kernel_id": "17840391"}, {"ref": "owaismujtabakhanday/tabular-playground", "kernel_id": "17585369"}, {"ref": "akashmathur2212/extensive-eda-multiple-models-tsa-jun-21", "kernel_id": "17552519"}, {"ref": "remekkinas/pytorch-residual-connection-100-nn-together", "kernel_id": "17626787"}, {"ref": "remekkinas/keras-tuner-knn-features-simplex-optimization", "kernel_id": "17744353"}, {"ref": "remekkinas/pytorch-skorch-residual-hyperparameter", "kernel_id": "17392766"}, {"ref": "remekkinas/tps-06-eda-mljar-automl-detailed-optuna", "kernel_id": "17365760"}, {"ref": "remekkinas/autoeda-new-features-lightautoml-rapid-ml", "kernel_id": "17365966"}, {"ref": "ranjeetshrivastav/tps-june-21-pycaret", "kernel_id": "17373393"}, {"ref": "ranjeetshrivastav/tps-june-21-plotly-xgboost", "kernel_id": "17368111"}, {"ref": "paramond/voting-ensemble-lightgbm-logisticregression", "kernel_id": "17891252"}, {"ref": "prahladmehandiratta/feature-importance", "kernel_id": "17431366"}, {"ref": "torstensommer/tps-june-2021-eda", "kernel_id": "17441208"}, {"ref": "pranjalverma08/lightgbm-with-optuna-starter-tps-06", "kernel_id": "17364572"}, {"ref": "pranjalverma08/catboost-with-optuna-starter-tps-06", "kernel_id": "17363178"}, {"ref": "yvamshivardhan/random-search-in-neural-network", "kernel_id": "17554290"}, {"ref": "prakashr7d/tabular-playground-june-2021", "kernel_id": "17522139"}, {"ref": "himanshushekhardas/assighnment1-nn", "kernel_id": "17709773"}, {"ref": "himanshushekhardas/assignment-1", "kernel_id": "17682484"}, {"ref": "sagnik1511/tps-june-data-processing-model-performance", "kernel_id": "17365717"}, {"ref": "sayantansadhu/blending-a-lgbm-and-catboost-model", "kernel_id": "17366326"}, {"ref": "hakanerdogan/tps-june-2021-very-simple-fast-code", "kernel_id": "17747542"}, {"ref": "rajat95gupta/autogluon-base-model-starter-implementation", "kernel_id": "17679648"}, {"ref": "yznga98/machine-learning-algorithms", "kernel_id": "17731658"}, {"ref": "munumbutt/kerastuner-autonn-with-tpu", "kernel_id": "17410723"}, {"ref": "munumbutt/autogluon-tps", "kernel_id": "17591970"}, {"ref": "munumbutt/simple-yet-advanced-nn", "kernel_id": "17530314"}, {"ref": "munumbutt/pycaret-autoensembles", "kernel_id": "17561347"}, {"ref": "bruceharold/tps2106-fe-study", "kernel_id": "17755781"}, {"ref": "bruceharold/the-power-of-positive-encoding", "kernel_id": "17820732"}, {"ref": "bruceharold/eda-with-comparisons-to-may", "kernel_id": "17403848"}, {"ref": "tracyporter/jun-21-hist", "kernel_id": "17422820"}, {"ref": "tracyporter/jun-21-bayesianreg", "kernel_id": "17403480"}, {"ref": "aryanml007/eda-tps-june-2021", "kernel_id": "17543675"}, {"ref": "cinciadedadoscomr/eda-seaborn-kmeans-pca", "kernel_id": "17423534"}, {"ref": "j0shua6/june-tps-eda-transform-pca-keras-mlp", "kernel_id": "17431869"}, {"ref": "shantanusoni/multiclass-classifier-accuracies", "kernel_id": "17694043"}, {"ref": "sylar68/tps-06-how-to-use-crossvalidation-for-beginners", "kernel_id": "17755121"}, {"ref": "desalegngeb/06-tps-eda-and-models-lightautoml", "kernel_id": "17362892"}, {"ref": "aniketsharma00411/tpsjun21-feature-engineering", "kernel_id": "17628641"}, {"ref": "aniketsharma00411/tpsjune21-logreg", "kernel_id": "17495525"}, {"ref": "krishnamore/autoeda-sweetviz-dataprep-lightautoml", "kernel_id": "17786491"}, {"ref": "hanseopark/classification-using-mutual-information", "kernel_id": "17865799"}, {"ref": "mohankrishnan02/tabular1", "kernel_id": "17514279"}, {"ref": "decatur/randomforrest", "kernel_id": "17908329"}, {"ref": "decatur/tabular-june-1st-try", "kernel_id": "17857548"}, {"ref": "decatur/lightgbm", "kernel_id": "17997461"}, {"ref": "decatur/gdbt-xgb", "kernel_id": "17965922"}, {"ref": "davidjlochner/jun21-tps-xgboost-gridsearch", "kernel_id": "17589154"}, {"ref": "davidjlochner/deepinsight-cnn-june-tps", "kernel_id": "17950082"}, {"ref": "davidjlochner/tps-6-21-optuna-and-xgb", "kernel_id": "17888841"}, {"ref": "sardinetrawler/multinom-logistic-regression-pca-glmnet", "kernel_id": "17483358"}, {"ref": "d4rklucif3r/tps-6-eda-luciferml", "kernel_id": "17408451"}, {"ref": "hayahiko/tps-6-easy-way-lgbm-optuna-step-by-step", "kernel_id": "17375298"}, {"ref": "smita09/beginnerfriendlytps", "kernel_id": "17454423"}, {"ref": "niteshranjansingh/eda-for-absolute-beginner-tps-june-2021", "kernel_id": "17477171"}, {"ref": "niteshranjansingh/baseline-model-in-2-lines-tps-2021-june", "kernel_id": "17500118"}, {"ref": "yus002/further-blending-comparative-method", "kernel_id": "17731543"}, {"ref": "yus002/tps-june-k-means-dbscan-practice", "kernel_id": "17482301"}, {"ref": "yus002/are-tps-june-data-related-to-otto-data", "kernel_id": "17866632"}, {"ref": "yus002/blending-tool-comparative-method", "kernel_id": "17370062"}, {"ref": "yus002/will-i-overfit", "kernel_id": "17367159"}, {"ref": "jeongbinpark/tps-jun-try-visualization-dnn-model", "kernel_id": "17893632"}, {"ref": "jeongbinpark/tps-jun-how-to-visualization-many-columns", "kernel_id": "17404130"}, {"ref": "nishantdhingra/tps-june-clustering-stacking", "kernel_id": "17396471"}, {"ref": "abhishekv5055/tps-jun-exploratory-data-analysis", "kernel_id": "17397553"}, {"ref": "felipedutralisboa/tps-june-beginner-deaplearning", "kernel_id": "17362771"}, {"ref": "ryanbarretto/feature-selection-and-time-usage-with-lightgbm", "kernel_id": "17477543"}, {"ref": "pourchot/a-neural-network-improved-by-a-gradient-boosting", "kernel_id": "17809311"}, {"ref": "pourchot/simple-neural-network", "kernel_id": "17665438"}, {"ref": "pourchot/3-nn-optimized-conv-embedding-by-col-by-row", "kernel_id": "17658753"}, {"ref": "pourchot/2-concatenated-neural-network-streams", "kernel_id": "17522696"}, {"ref": "pourchot/blending-neural-networks-weights-optimization", "kernel_id": "17334081"}, {"ref": "pourchot/decision-forest-fed-by-neural-network", "kernel_id": "17401447"}, {"ref": "pourchot/simple-keras-embedding-in-10-folds", "kernel_id": "17384619"}, {"ref": "pranjalchatterjee/deep-learning-on-tabular-playground-jun-2021", "kernel_id": "17868019"}, {"ref": "luisbedia/tabular-playground-jun2021", "kernel_id": "17376517"}, {"ref": "dlaststark/tps-june-xgb-model-baseline", "kernel_id": "17379177"}, {"ref": "dlaststark/tps-june-lgb-model-baseline", "kernel_id": "17379182"}, {"ref": "dlaststark/tps-june-cb-model-baseline", "kernel_id": "17379250"}, {"ref": "dlaststark/tps-june-lama-model-baseline", "kernel_id": "17401869"}, {"ref": "dlaststark/tps-june-entity-embeddings-1d-cnn", "kernel_id": "17546850"}, {"ref": "dlaststark/tps-june-entity-embeddings-lstm", "kernel_id": "17585191"}, {"ref": "jenssvensmark/scikit-stacking-tabular-play-june", "kernel_id": "17396283"}, {"ref": "jenssvensmark/tf-w-embedding-skip-and-convolution-tps-june", "kernel_id": "17581975"}, {"ref": "okyanusoz/tps-jun-2021-ensemble-of-xgboost", "kernel_id": "17920086"}, {"ref": "okyanusoz/tps-jun-2021-xgboost", "kernel_id": "17916024"}, {"ref": "purvitsharma/tps-principal-component-analysis", "kernel_id": "17492142"}, {"ref": "elemento/tabplayjune-randomforest", "kernel_id": "17549450"}, {"ref": "animeshrockn/neural-network-implementation", "kernel_id": "17772345"}, {"ref": "cs21s001vikaskumar/june-competition", "kernel_id": "17379553"}, {"ref": "maximkazantsev/tps-06-21-catboost-optuna-eda-anomalies-detection", "kernel_id": "17441312"}, {"ref": "maximkazantsev/tps-06-21-lightgbm-optuna-eda-anomalies-detection", "kernel_id": "17460554"}, {"ref": "maximkazantsev/tps-06-21-lightautoml-eda-anomalies-detection", "kernel_id": "17466839"}, {"ref": "maximkazantsev/tps-06-21-catboost-lgbm-optuna-eda-anomalies", "kernel_id": "17472404"}, {"ref": "greengamma/xgboost", "kernel_id": "17555857"}, {"ref": "tariqchhussain/tabular-playground-june-2021-eda-xgboost-wip", "kernel_id": "17383849"}, {"ref": "shreyanshkabra/tps-june-21-catboost-lgbm", "kernel_id": "17394435"}, {"ref": "jonaspalucibarbosa/tps06-21-wide-and-deep-nn-w-keras", "kernel_id": "17531888"}, {"ref": "jonaspalucibarbosa/tps06-21-lightautoml-w-knn-feats", "kernel_id": "17926021"}, {"ref": "jonaspalucibarbosa/tps06-21-keras-nn-with-skip-connections", "kernel_id": "17977857"}, {"ref": "jonaspalucibarbosa/tps06-21-keras-nn-with-embedding", "kernel_id": "17407872"}, {"ref": "jonaspalucibarbosa/tps06-21-simple-nn-with-keras", "kernel_id": "17365523"}, {"ref": "jonaspalucibarbosa/tps06-21-starter-eda-base-lgbm", "kernel_id": "17362598"}, {"ref": "williamojemann/basic-xgboost-implementation", "kernel_id": "17454052"}, {"ref": "daikiiwasaki/japan-ramen", "kernel_id": "17441019"}, {"ref": "vexxingbanana/simple-cnn-model", "kernel_id": "17940939"}, {"ref": "mohit12562/one-vs-rest-classifier", "kernel_id": "17669697"}, {"ref": "advaitvagerwal/h2o-automl", "kernel_id": "17659629"}, {"ref": "advaitvagerwal/catboost", "kernel_id": "17619808"}, {"ref": "advaitvagerwal/simple-random-forest", "kernel_id": "17555636"}, {"ref": "advaitvagerwal/xgboost", "kernel_id": "17584314"}, {"ref": "yangchenyu123/further-blending-comparative-method", "kernel_id": "17890227"}, {"ref": "sumankaggle/student-preference-selecting-university", "kernel_id": "17384268"}, {"ref": "junhyeok99/tps-xgboost-catboost-ensemble", "kernel_id": "17807892"}, {"ref": "lucamassaron/adversarial-validation-example", "kernel_id": "18186523"}, {"ref": "tunguz/tps-6-21-new-ensemble", "kernel_id": "18020963"}, {"ref": "carlosluz/data-playground-with-random-forest-model", "kernel_id": "18234301"}, {"ref": "kuntalbhowmick/tps6-impact-of-quantile-transformerwithtabnet", "kernel_id": "18230488"}, {"ref": "gsdeepakkumar/tps-june-2021", "kernel_id": "18236510"}, {"ref": "gomes555/tps-jun2021-blend-optim-smart-comparative", "kernel_id": "18254978"}, {"ref": "gomes555/tps-jun2021-r-nn-gbt-blend-optim-keras", "kernel_id": "18128136"}, {"ref": "anishjosh/simple-ensemble-nn-catboost-1-75", "kernel_id": "18139518"}, {"ref": "fanbyprinciple/fastai-june-tps-2021", "kernel_id": "18236222"}, {"ref": "brookie210/lightbgm-ensemble-tps-june-2021", "kernel_id": "18226767"}, {"ref": "devishu14/tabulardata-pytorch-tabular", "kernel_id": "18666127"}, {"ref": "stpeteishii/tabular-playground-june-2021-lgbm-with-optuna", "kernel_id": "18173669"}, {"ref": "stpeteishii/tpg-june-2021-lgbm-optuna-objective-tuning", "kernel_id": "18226990"}, {"ref": "stpeteishii/tabular-playground-june-2021-xgboost-with-optuna", "kernel_id": "18134507"}, {"ref": "stpeteishii/tabular-playground-june-2021-conv2d", "kernel_id": "18025492"}, {"ref": "jarupula/tps-june2021", "kernel_id": "18008499"}, {"ref": "nasil2/random-forest", "kernel_id": "18253750"}, {"ref": "owerbat/tps-jun-fast-stacking-with-scikit-learn-intelex", "kernel_id": "18133075"}, {"ref": "arvindbudh/june-code", "kernel_id": "18760256"}, {"ref": "muhammadalaref/mha-tabular-playground-series-jun-2021", "kernel_id": "18050780"}, {"ref": "ktamta/afsa-kaggle", "kernel_id": "18260302"}, {"ref": "elakapoor/tps-june", "kernel_id": "18873947"}, {"ref": "ipalaik/simple-feature-select-modeling-for-tabular-data", "kernel_id": "18374553"}, {"ref": "valmetisrinivas/tabular-playground-series-jun-2021-vs", "kernel_id": "18348402"}, {"ref": "millak/notebook320da13349", "kernel_id": "18395900"}, {"ref": "millak/notebook0afd80b173", "kernel_id": "18417803"}, {"ref": "amritpal333/catboost-explained-start-to-end", "kernel_id": "18141606"}, {"ref": "mehrankazeminia/3-tps-jun-21-smart-ensembling-for-classifier", "kernel_id": "18001395"}, {"ref": "atharvchaudhari/tps-june", "kernel_id": "18114801"}, {"ref": "masdevas/fast-ml-stack-with-scikit-learn-intelex", "kernel_id": "18005014"}, {"ref": "bextuychiev/every-pandas-function-to-manipulate-time-series", "kernel_id": "18466860"}, {"ref": "bextuychiev/advanced-time-series-analysis-decomposition", "kernel_id": "18552057"}, {"ref": "bextuychiev/20-burning-xgboost-faqs-answered-to-use-like-a-pro", "kernel_id": "18852222"}, {"ref": "sanjayshah77/tabularplayground-jun-2021", "kernel_id": "18506401"}, {"ref": "bakar31/tps-jun-eda", "kernel_id": "18148192"}, {"ref": "shritech1404/tabular-playground-series", "kernel_id": "18238743"}, {"ref": "jeongbinpark/tps-jun-try-visualization-dnn-model2", "kernel_id": "18004070"}, {"ref": "yasinnaal/tabular-playground-series-jun-2021", "kernel_id": "18206353"}, {"ref": "lunacpp/am-ultima-atividade-2", "kernel_id": "18240758"}, {"ref": "ludovicbr/tpsjun21-simple-neural-network-modifications", "kernel_id": "18163602"}, {"ref": "maximkazantsev/tps-06-21-simple-keras-nn-eda-anomalies-detection", "kernel_id": "18208666"}, {"ref": "brunodleite/submission-01", "kernel_id": "18473691"}, {"ref": "rabeyaakter/tabular-playground-series-jun-2021", "kernel_id": "18002698"}, {"ref": "mohit12562/hierarchy-of-binary-classifiers", "kernel_id": "18092803"}, {"ref": "rahulnandu/3-tps-jun-21-smart-ensembling-for-classifier", "kernel_id": "18016118"}, {"ref": "mahditavakol/jan-2021", "kernel_id": "18104429"}, {"ref": "konnyaku1234/notebook23c19b79fe", "kernel_id": "18112007"}, {"ref": "felipercamargo/submiss-o-1", "kernel_id": "18475890"}, {"ref": "shivamkc3/tabular-playground-nn-descision-forest", "kernel_id": "19592057"}, {"ref": "kritidoneria/beginner-automl-tps-sept21-eda", "kernel_id": "20206703"}, {"ref": "bextuychiev/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20511503"}, {"ref": "bextuychiev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "20289477"}, {"ref": "bextuychiev/how-to-beat-the-heck-out-of-xgboost-with-lightgbm", "kernel_id": "20261920"}, {"ref": "bextuychiev/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "20761982"}, {"ref": "smita09/tps-june-worst-solution", "kernel_id": "20333335"}, {"ref": "narendrasan/how-to-work-w-million-row-datasets-like-a-pro", "kernel_id": "20652847"}, {"ref": "aryaaryan/tabplayjune-randomforest", "kernel_id": "20346814"}, {"ref": "datavisuals/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20569407"}, {"ref": "arvindbudh/junedl", "kernel_id": "22749339"}, {"ref": "emurotupaul/notebook1109b5b1e0", "kernel_id": "24737927"}, {"ref": "zacharyluscher/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "26757194"}, {"ref": "harisonmwangi/tps-june-2021-eda", "kernel_id": "28379473"}, {"ref": "nikolaikudriavtsev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "28161869"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "abhishek/tabpfn2", "kernel_id": "31557709"}, {"ref": "tunguz/tps-06-21-lr-baseline", "kernel_id": "31566561"}, {"ref": "kenseimatsushima/kimura", "kernel_id": "31548737"}, {"ref": "kenseimatsushima/matsushima-lightgbm", "kernel_id": "31548339"}, {"ref": "kenseimatsushima/matsushima-csr-matrix-lightgbm-2", "kernel_id": "31759679"}, {"ref": "siriusmhlee/study-tps-jun-2021", "kernel_id": "33775003"}, {"ref": "riyaraizada/tabular-playground-series-jun-2021", "kernel_id": "51177240"}, {"ref": "nanmanaslin/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "51099158"}, {"ref": "wjchua/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "52491255"}]}
{"competition_id": "26491", "kernels": []}
{"competition_id": "26494", "kernels": [{"ref": "muhammadirhamluthfi/ds-solusi-muhammadirhamluthfi", "kernel_id": "15666596"}]}
{"competition_id": "26499", "kernels": [{"ref": "luffyluffyluffy/starter", "kernel_id": "15469481"}]}
{"competition_id": "26512", "kernels": [{"ref": "joelniklaus/example-classifier", "kernel_id": "15676651"}]}
{"competition_id": "26518", "kernels": []}
{"competition_id": "26530", "kernels": []}
{"competition_id": "26545", "kernels": []}
{"competition_id": "26548", "kernels": []}
{"competition_id": "26553", "kernels": []}
{"competition_id": "26555", "kernels": []}
{"competition_id": "26562", "kernels": []}
{"competition_id": "26572", "kernels": []}
{"competition_id": "26578", "kernels": []}
{"competition_id": "26579", "kernels": []}
{"competition_id": "26580", "kernels": []}
{"competition_id": "26587", "kernels": [{"ref": "abhiz19/notebook7a2a66c4f2", "kernel_id": "15606605"}]}
{"competition_id": "26597", "kernels": []}
{"competition_id": "26600", "kernels": []}
{"competition_id": "26607", "kernels": []}
{"competition_id": "26609", "kernels": []}
{"competition_id": "26611", "kernels": [{"ref": "mmalam/location-location-location", "kernel_id": "15750018"}, {"ref": "adnankhan2405/zameen", "kernel_id": "15612841"}, {"ref": "asimzahid/zameen-real-estate-category-prediction", "kernel_id": "15639864"}, {"ref": "ridaamjad/multiclass-lgb-prediction", "kernel_id": "15653184"}, {"ref": "hamzaadnan/catboost-baseline-achieve-92-f1-with-0-effort", "kernel_id": "15919025"}, {"ref": "muhammadsaadsiddique/simplified-notebook", "kernel_id": "15680898"}]}
{"competition_id": "26618", "kernels": []}
{"competition_id": "26622", "kernels": []}
{"competition_id": "26628", "kernels": [{"ref": "agarwaladitya1019/notebookbfea3071e3", "kernel_id": "15649360"}, {"ref": "ujjawalsharma20/power-lines-detection", "kernel_id": "15627357"}]}
{"competition_id": "26630", "kernels": []}
{"competition_id": "26633", "kernels": [{"ref": "wuhaohsiang/notebook83106cbf43", "kernel_id": "15710323"}]}
{"competition_id": "26639", "kernels": [{"ref": "kuantinglai/notebookdab2b857bf", "kernel_id": "15596679"}]}
{"competition_id": "26642", "kernels": []}
{"competition_id": "26646", "kernels": []}
{"competition_id": "26648", "kernels": []}
{"competition_id": "26651", "kernels": []}
{"competition_id": "26658", "kernels": []}
{"competition_id": "26659", "kernels": [{"ref": "adsoofmelk/morph15m", "kernel_id": "15947327"}, {"ref": "alexeykozhevnikovmm/notebook-wod2vec-m-a", "kernel_id": "15937561"}, {"ref": "aleksandrgusarov/notebook-word2vec", "kernel_id": "15951427"}, {"ref": "maryamlistopad/imdb-word2vec-og-gucci", "kernel_id": "15780840"}, {"ref": "chernykhaa/word2vec-team-dga", "kernel_id": "15919956"}, {"ref": "maksimandreev/4-11235", "kernel_id": "15951508"}, {"ref": "alexeyshatokhin/word2vec-reshape-of-you", "kernel_id": "15951030"}, {"ref": "mrfarbo/v9-notebook", "kernel_id": "16068291"}, {"ref": "alexag05/word2vec-three-graces", "kernel_id": "16244492"}, {"ref": "daryafilippova/ida-w2w", "kernel_id": "16094206"}]}
{"competition_id": "26663", "kernels": []}
{"competition_id": "26664", "kernels": []}
{"competition_id": "26668", "kernels": []}
{"competition_id": "26680", "kernels": [{"ref": "allunia/pulmonary-dicom-preprocessing", "kernel_id": "11301778"}, {"ref": "ipythonx/keras-image-augmentations", "kernel_id": "13400147"}, {"ref": "freaxmind/siim-covid-19-detection-image-analysis", "kernel_id": "14807222"}, {"ref": "moewie94/lungfield-segmentation-and-crop", "kernel_id": "14686016"}, {"ref": "konradb/diy-rescaled-images-with-bboxes", "kernel_id": "17069492"}, {"ref": "mathurinache/siim-covid-19-convert-to-jpg-1024px", "kernel_id": "17055054"}, {"ref": "mathurinache/siim-covid-19-convert-to-jpg-768px", "kernel_id": "17056782"}, {"ref": "jeongyoonlee/siim-covid-19-detection-eda-wip", "kernel_id": "17047144"}, {"ref": "idris24216/easy-dcm-and-study-visualization", "kernel_id": "17904563"}, {"ref": "avinashrai/convert-dicom-to-jpg-and-download", "kernel_id": "17076681"}, {"ref": "franklin218967/notebooke059ee5a2d", "kernel_id": "17313124"}, {"ref": "jandal487/siim-covid19-classification-detection", "kernel_id": "17961661"}, {"ref": "minasonbol/siim-covid-yolov5", "kernel_id": "17643474"}, {"ref": "subbuvolvosekar/simple-exploration-siim-covid19", "kernel_id": "17075357"}, {"ref": "rajasuman09/siim-file-images-output", "kernel_id": "17898327"}, {"ref": "praveengovi/siim-covid-19-detection-complete-eda", "kernel_id": "17067604"}, {"ref": "resolut/starter-eda-work-in-progress", "kernel_id": "17052406"}, {"ref": "rbhambri/chexnet-transfer-learning-binary-image-clf", "kernel_id": "17912140"}, {"ref": "rbhambri/covid-detection-studies-eda-viz", "kernel_id": "17826070"}, {"ref": "freaxmind/extract-metadata-from-dicom-files-efficiently", "kernel_id": "17459861"}, {"ref": "freaxmind/siim-covid-19-detection-studies-analysis", "kernel_id": "17332772"}, {"ref": "freaxmind/siim-covid-19-detection-metadata-analysis", "kernel_id": "17985170"}, {"ref": "freaxmind/siim-covid-19-detection-samples-analysis", "kernel_id": "17985181"}, {"ref": "freaxmind/siim-covid-19-detection-labels-boxes-analysis", "kernel_id": "17985632"}, {"ref": "ibadia/siim-fisabio-rsna-data-preparation-and-basic-eda", "kernel_id": "17072145"}, {"ref": "sumitjha19/data-exploration-training-data-prp", "kernel_id": "17081284"}, {"ref": "saminba/siim-covid19-data-visualisation", "kernel_id": "17675094"}, {"ref": "ivarvb/test1", "kernel_id": "17994980"}, {"ref": "ivarvb/simplesubmission", "kernel_id": "17768495"}, {"ref": "keremt/siim-covid-19-eda-part-1", "kernel_id": "17053149"}, {"ref": "keremt/understanding-evaluation-lb-probing", "kernel_id": "17459612"}, {"ref": "keremt/siim-covid-19-classification-detection-inference", "kernel_id": "17502441"}, {"ref": "keremt/competition-metric-map-0-5", "kernel_id": "17474479"}, {"ref": "canonical/edit-canonical-siim-covid19-efnb7-train-study", "kernel_id": "17391041"}, {"ref": "safavieh/siim-fisabio-rsna-meta-data-extraction", "kernel_id": "17057646"}, {"ref": "aswanipranjal/siim-covid-19-detection-eda-copied", "kernel_id": "17805241"}, {"ref": "tanlikesmath/siim-covid-19-detection-a-simple-eda", "kernel_id": "17046530"}, {"ref": "chris36/siim-dat", "kernel_id": "17958132"}, {"ref": "marshath/siim-covid-detclassi-inference", "kernel_id": "17582633"}, {"ref": "marshath/eda-dicom-metadata-and-image-resizing", "kernel_id": "17234958"}, {"ref": "vgarshin/siim-mmdetection-train-demo", "kernel_id": "17152292"}, {"ref": "steamedsheep/siim-covid-19-convert-to-jpg-256px", "kernel_id": "17279907"}, {"ref": "jaidmin/inference-notebook", "kernel_id": "17253744"}, {"ref": "jmmshn/png-1024-contrast-monochrome-fix", "kernel_id": "17474277"}, {"ref": "chuene/mps-covid", "kernel_id": "17781120"}, {"ref": "furcifer/siim-covid-19-pytorch-efficientdet-starter-train", "kernel_id": "17081130"}, {"ref": "msafi04/rsna-covid19-detection", "kernel_id": "17072101"}, {"ref": "kozistr/infer-efnb6-7-yolov5m-l-x6", "kernel_id": "17818078"}, {"ref": "avirdee/siim-covid-19-initial-pipeline-fastai", "kernel_id": "17795739"}, {"ref": "snnclsr/eda-hitchiker-s-guide-to-covid-19-detection", "kernel_id": "17153810"}, {"ref": "arivarasan/let-s-reason-the-data-in-medical-context", "kernel_id": "17209582"}, {"ref": "rerere/chest-x-ray-covid-19-detection-eda", "kernel_id": "17658037"}, {"ref": "rerere/covid-19-image-enhancement", "kernel_id": "17823818"}, {"ref": "iamprateek/siim-covid-19-convert-to-jpg-416px", "kernel_id": "17962816"}, {"ref": "virksaab/metadata-and-data-distribution-analysis", "kernel_id": "17252816"}, {"ref": "shangweichen/infer-covid-19-detection-using-yolov5", "kernel_id": "17653303"}, {"ref": "namgalielei/siim-eda-data", "kernel_id": "17084911"}, {"ref": "nguyenbadung/siim-covid19-2021", "kernel_id": "17055648"}, {"ref": "shivamanhar/covid-19-detection-17052021", "kernel_id": "17047361"}, {"ref": "agentili/find-duplicates", "kernel_id": "17076148"}, {"ref": "agentili/read-dicom-metadate", "kernel_id": "17072723"}, {"ref": "srivatsan25297/siim-covid19", "kernel_id": "17379961"}, {"ref": "tanreinama/yolov4-detection-sample", "kernel_id": "17071120"}, {"ref": "meghanakarka/kaggle-covid19data", "kernel_id": "17532184"}, {"ref": "chekoduadarsh/train-a-faster-rcnn-view-on-covid-19", "kernel_id": "17179787"}, {"ref": "stevelangs/siim-covid-19-basic-eda-w-emphasis-on-consistency", "kernel_id": "17270525"}, {"ref": "deejindal/use-of-chest-imaging-in-the-diagnosis-of-covid-19", "kernel_id": "17288786"}, {"ref": "dschettler8845/siiim-covid-train-tfrecords-5-folds-896x1024", "kernel_id": "17319208"}, {"ref": "dschettler8845/covid-detection-studies-with-multiple-images-viz", "kernel_id": "17134969"}, {"ref": "dschettler8845/visual-in-depth-eda-siim-covid19-detection", "kernel_id": "17059882"}, {"ref": "dschettler8845/siiim-covid-train-tfrecords-5-folds-300x300", "kernel_id": "17111914"}, {"ref": "basu369victor/covid19-detection-with-vit-and-heatmap", "kernel_id": "17454668"}, {"ref": "dipuk0506/dicom-files-to-rgb-672x672", "kernel_id": "17996285"}, {"ref": "ferhat00/covid-19-2-para", "kernel_id": "17467611"}, {"ref": "myspace/siim-covid19-data-preparation-fastai-dataloader", "kernel_id": "17289493"}, {"ref": "ghaiyur/rsna-covid-vmad", "kernel_id": "17398323"}, {"ref": "ghaiyur/rsna-test-submit-version-mad1", "kernel_id": "17414055"}, {"ref": "ipythonx/blending-mask-with-x-ray-for-spatial-supervision", "kernel_id": "17898375"}, {"ref": "ipythonx/keras-segmentation-modeling-into-classifier-model", "kernel_id": "17916977"}, {"ref": "jaideepvalani/basic-exploration-eda-duplicate-nonduplicate", "kernel_id": "17406678"}, {"ref": "ishwor2048/level-1-on-siim-fisabio-rsna-covid-19-detection", "kernel_id": "17070130"}, {"ref": "anastazija/covid-19-detection", "kernel_id": "17067300"}, {"ref": "darkrubiks/covid-detection-eda", "kernel_id": "17085935"}, {"ref": "xiaoyj/sample-submission", "kernel_id": "17502986"}, {"ref": "ayuraj/train-study-level-classifier-w-b", "kernel_id": "17987408"}, {"ref": "ayuraj/train-covid-19-detection-using-yolov5", "kernel_id": "17105297"}, {"ref": "ayuraj/visualize-bounding-boxes-interactively", "kernel_id": "17055329"}, {"ref": "ayuraj/submission-covid19", "kernel_id": "17175694"}, {"ref": "bcwang/siim-covid-19-convert-to-jpg-256px", "kernel_id": "17982544"}, {"ref": "yeshvini/siim-covid-eda", "kernel_id": "17140023"}, {"ref": "xhlulu/siim-covid-19-convert-to-jpg-256px", "kernel_id": "17047322"}, {"ref": "batprem/fork-of-siim-cov19-efnb7-yolov5-infer-39e7fb", "kernel_id": "17896365"}, {"ref": "batprem/model-blend", "kernel_id": "17967623"}, {"ref": "sachinrastogi/siim-processed-resized-512-ar-tojpg", "kernel_id": "17485557"}, {"ref": "parzukrofila/siim-covid-19-eda", "kernel_id": "17514709"}, {"ref": "xuxiaoxi/siim-covid19-efnb7-train-2class-image", "kernel_id": "17977697"}, {"ref": "whitegg/inference-studyclass-baseline", "kernel_id": "17448716"}, {"ref": "whitegg/pytorch-studyclass-baseline", "kernel_id": "17303434"}, {"ref": "whitegg/submission-marge", "kernel_id": "17824654"}, {"ref": "whitegg/dcm-to-png-jpg-using-cv2-simpleitk", "kernel_id": "17571976"}, {"ref": "tt195361/siim-covid-19-eda-for-train-csv-files", "kernel_id": "17124214"}, {"ref": "mistag/k-folds-cv-stratification-on-multiple-features", "kernel_id": "17160419"}, {"ref": "mistag/data-stratified-tfrecords-for-classification", "kernel_id": "17225950"}, {"ref": "sumitai/siim-fisabio-rsna-covid-19-detection-eda", "kernel_id": "17071223"}, {"ref": "drcapa/siim-fisabio-rsna-covid-19-detection-starter", "kernel_id": "17050908"}, {"ref": "ruchi798/siim-covid-19-detection-eda-data-augmentation", "kernel_id": "17051266"}, {"ref": "bnapora/siim-inference-ice-nonet", "kernel_id": "17829482"}, {"ref": "kush1729/siim-fisabio-rsna-covid-19-detection", "kernel_id": "17096742"}, {"ref": "balakrishcodes/starter-eda-siim-covid-19-beginner-friendly", "kernel_id": "17066175"}, {"ref": "heyytanay/siim-pytorch-classification-only-training-effnets", "kernel_id": "17050564"}, {"ref": "harshsharma511/one-stop-understanding-indepth-eda-model-progress", "kernel_id": "17093028"}, {"ref": "yujiariyasu/catch-up-on-positive-samples-plot-submission-csv", "kernel_id": "17048122"}, {"ref": "boltcoder/siim-covid19-simple-data-augmentation-techniques", "kernel_id": "17443154"}, {"ref": "piantic/train-siim-covid-19-detection-fasterrcnn", "kernel_id": "17082098"}, {"ref": "piantic/siim-fisabio-rsna-covid-19-detection-basic-eda", "kernel_id": "17052164"}, {"ref": "salmaneunus/siim-covid-19-detection-submisssion-2", "kernel_id": "17832557"}, {"ref": "andreshg/siim-covid-19-eda-and-visualization", "kernel_id": "17070073"}, {"ref": "peacekingleo/train-covid-19-detection-using-yolov5", "kernel_id": "17316265"}, {"ref": "micheomaano/siim-cov19-efnb7-yolov5-infer", "kernel_id": "17910153"}, {"ref": "benihime91/siim-covid-19-stratified-kfolds-study-level", "kernel_id": "17281902"}, {"ref": "sinamhd9/classification-model", "kernel_id": "17282474"}, {"ref": "sinamhd9/image-label-classification-opacity-vs-none", "kernel_id": "17336304"}, {"ref": "sinamhd9/where-s-your-model-looking-at-grad-cam", "kernel_id": "17342194"}, {"ref": "sinamhd9/chexnet-fine-tuned-model-interpretation", "kernel_id": "17575393"}, {"ref": "arunpurakkatt/convert-dicom-to-np-array-the-right-way", "kernel_id": "17150122"}, {"ref": "andradaolteanu/siim-covid-19-box-detect-dcm-metadata", "kernel_id": "17062918"}, {"ref": "rude009/working-with-dicom-data", "kernel_id": "17064658"}, {"ref": "awsaf49/siim-covid-19-study-level-train-tpu", "kernel_id": "17072181"}, {"ref": "awsaf49/siim-covid-19-512x512-tfrec-data", "kernel_id": "17072504"}, {"ref": "awsaf49/siim-covid-19-yolov5-image-level-train", "kernel_id": "17071094"}, {"ref": "awsaf49/siim-covid-19-study-level-infer", "kernel_id": "17081941"}, {"ref": "awsaf49/pydicom-conda-helper", "kernel_id": "17078975"}, {"ref": "pjbhaumik/covid-detector", "kernel_id": "17953440"}, {"ref": "rajsengo/fastai-siim-covid-19-image-classification", "kernel_id": "17409339"}, {"ref": "rajsengo/image-resize-siim-covid-19-detection", "kernel_id": "17409340"}, {"ref": "rajsengo/beginner-eda-siim-covid-19-detection", "kernel_id": "17085160"}, {"ref": "sakeshchowdary/exploration-of-data", "kernel_id": "17048448"}, {"ref": "decnalabbalanced/siim-fisabio-rsna-covid-19-detection-initial-eda", "kernel_id": "17066513"}, {"ref": "yukiszk/robust-pixel-array-scaling", "kernel_id": "17182791"}, {"ref": "dashu1999/covid-19", "kernel_id": "17120009"}, {"ref": "dhikad/working-with-dicm-files-for-the-first-time", "kernel_id": "17910051"}, {"ref": "jayanth0572/covidnew", "kernel_id": "17884883"}, {"ref": "jayanth0572/kaggleovidsubmission", "kernel_id": "17893352"}, {"ref": "kwk100/siim-covid-19-comprehensive-eda", "kernel_id": "17073721"}, {"ref": "kwk100/siim-covid-19-duplicate-training-images", "kernel_id": "17137441"}, {"ref": "meenakshiramaswamy/siim-covid-inf-img768", "kernel_id": "17856615"}, {"ref": "ecthompson99/siim-covid19-detection", "kernel_id": "17735230"}, {"ref": "songseungwon/siim-covid-19-detection-10-step-tutorial-1", "kernel_id": "17072365"}, {"ref": "songseungwon/siim-covid-19-detection-10-step-tutorial-2", "kernel_id": "17176679"}, {"ref": "songseungwon/siim-covid-19-detection-mini-part-preprocess", "kernel_id": "17263820"}, {"ref": "songseungwon/siim-covid-19-detection-multioutput-regression", "kernel_id": "17281554"}, {"ref": "chumajin/eda-and-merging-train-data-cleanly", "kernel_id": "17048405"}, {"ref": "narasimhajwalapuram/check-dicom-files-and-get-tags-info", "kernel_id": "17118864"}, {"ref": "tomdarmon/siim-train-xception", "kernel_id": "17920290"}, {"ref": "witsarutsarai/1-covid-compet", "kernel_id": "17489845"}, {"ref": "tensorchoko/siim-eda", "kernel_id": "17702957"}, {"ref": "tensorchoko/gdcm-file", "kernel_id": "17307559"}, {"ref": "tensorchoko/torch-text", "kernel_id": "17307812"}, {"ref": "tensorchoko/siim-pytorch-1-ssd", "kernel_id": "17298853"}, {"ref": "drzhuzhe/siiim-covid-stratified-k-fold-and-create-mask", "kernel_id": "17549859"}, {"ref": "espsiyam/train-and-detect-covid-19-using-yolov5x", "kernel_id": "17138097"}, {"ref": "rojanupreti/siim-covid-19-detection", "kernel_id": "17074881"}, {"ref": "saketkattuboina/siim-covid-19-detection-how-to-get-started", "kernel_id": "17081105"}, {"ref": "ioanang/siim-fisabio-rsna-data-preprocessing-with-clahe", "kernel_id": "17106116"}, {"ref": "ioanang/siim-fisabio-rsna-start-data-exploration", "kernel_id": "17055886"}, {"ref": "makarbaderko/first-look-at-the-siim-covid-dataset", "kernel_id": "17178672"}, {"ref": "slimshadymm/data-pre-processing", "kernel_id": "17433259"}, {"ref": "adrienloridan/part1-siim-covid19-model-image-yolov5", "kernel_id": "17752884"}, {"ref": "adrienloridan/part3-siim-covid19-submission", "kernel_id": "17688061"}, {"ref": "adrienloridan/part2-siim-covid19-model-study-vgg16", "kernel_id": "17834620"}, {"ref": "adrienloridan/part0-siim-covid19-first-look-resized-512px", "kernel_id": "17831391"}, {"ref": "vanisujana/basic-eda-easysteps-cov-detection", "kernel_id": "17346681"}, {"ref": "josephamigo/submission", "kernel_id": "17510667"}, {"ref": "josephamigo/siim-training", "kernel_id": "17087350"}, {"ref": "aleksandramowio/getting-started-simple-eda", "kernel_id": "17401375"}, {"ref": "farhanhaikhan/random-easy-submission-demo", "kernel_id": "17470246"}, {"ref": "farhanhaikhan/object-detection-starter-rescale-image-bbox", "kernel_id": "17440502"}, {"ref": "farhanhaikhan/visualize-resized-data-prediction-data-prepare", "kernel_id": "17461651"}, {"ref": "farhanhaikhan/pretrained-unet-lung-segmentation-dataset", "kernel_id": "17080721"}, {"ref": "shindeganesh/plot-3positive-classes-0-176-score", "kernel_id": "17083004"}, {"ref": "hghghghgh1234/train-book", "kernel_id": "17071251"}, {"ref": "hghghghgh1234/label", "kernel_id": "17128880"}, {"ref": "kaaabi/notebookfcf65762dd-15a15a", "kernel_id": "17272312"}, {"ref": "ajaypawar123/visualize-dicom-images", "kernel_id": "17848466"}, {"ref": "lifelesson/covid-19-i-net", "kernel_id": "17838122"}, {"ref": "duythanhng/siim-covid-19-convert-to-jpg-original", "kernel_id": "17056655"}, {"ref": "duythanhng/siim-covid-19-efficientnetv2-infer", "kernel_id": "17626867"}, {"ref": "davidbroberts/cropping-chest-x-rays", "kernel_id": "17915007"}, {"ref": "davidbroberts/get-dicom-tags", "kernel_id": "17966307"}, {"ref": "davidbroberts/rib-suppression-poc", "kernel_id": "17540519"}, {"ref": "davidbroberts/covid19-images-check-for-voi-lut", "kernel_id": "17384819"}, {"ref": "davidbroberts/dicom-full-range-pixels-as-cnn-input", "kernel_id": "17255766"}, {"ref": "davidbroberts/manual-dicom-voi-lut", "kernel_id": "17301251"}, {"ref": "davidbroberts/measuring-bounding-boxes-on-cxr", "kernel_id": "17055812"}, {"ref": "davidbroberts/visualizing-chest-x-ray-bitplanes", "kernel_id": "17165205"}, {"ref": "siddhartamukherjee/siim-covid19-detection-simple-eda", "kernel_id": "17158205"}, {"ref": "s100rab/complete-eda-in-q-a-fashion", "kernel_id": "17628037"}, {"ref": "devanshchowdhury/eda-understand-data", "kernel_id": "17538654"}, {"ref": "sourabhy/siim-covid-19-detection-eda", "kernel_id": "17057203"}, {"ref": "yhirakawa/train-covid-19-detection-using-yolov5", "kernel_id": "17182364"}, {"ref": "byungjunyoon/happyhappy-covid19-submission", "kernel_id": "17716378"}, {"ref": "astridlancreyjaval/notebookfc4bf591d7", "kernel_id": "17938139"}, {"ref": "kosukekita/pil-imagedraw", "kernel_id": "17074609"}, {"ref": "sawradipsaha/siim-covid-19-ultimate-explained-eda", "kernel_id": "17163062"}, {"ref": "shanmukh05/augly-fair-s-new-data-augmentation-library", "kernel_id": "17870002"}, {"ref": "shanmukh05/siim-covid-19-data-preparation-for-detectron2", "kernel_id": "17132770"}, {"ref": "shanmukh05/siim-covid-19-data-visualization", "kernel_id": "17157230"}, {"ref": "shanmukh05/siim-covid-19-detection-detectron2-training", "kernel_id": "17054010"}, {"ref": "shanmukh05/siim-covid-19-yolo-v5-image-level-predictions", "kernel_id": "17261124"}, {"ref": "shanmukh05/siim-covid-19-study-level-predictions", "kernel_id": "17286188"}, {"ref": "sreevishnudamodaran/siim-mmdetection-cascadercnn-weight-bias", "kernel_id": "17343039"}, {"ref": "sreevishnudamodaran/siim-covid-19-resize-process-coco-dataset", "kernel_id": "17217165"}, {"ref": "sreevishnudamodaran/siim-covid19-fastai-efficientnetv2-timm-models", "kernel_id": "17926489"}, {"ref": "kiranpradeep1811/creating-tfrecords-for-siim-covid-19", "kernel_id": "17461025"}, {"ref": "kiranpradeep1811/yolov5-data-preprocessing", "kernel_id": "17998082"}, {"ref": "kiranpradeep1811/siim-covid-19-yolo-v5-training", "kernel_id": "17820935"}, {"ref": "jasonhuangcn/tf-with-efficientnet-train", "kernel_id": "17887829"}, {"ref": "ludovicchangeon/siim-covid19-exploration", "kernel_id": "17180247"}, {"ref": "kostiantynperun/siim-covid-19-detection-10-step-tutorial-1", "kernel_id": "17183704"}, {"ref": "kostiantynperun/siim-covid-19-v-2-5-image-1-group", "kernel_id": "17469077"}, {"ref": "samarthsharma1408/siim-covid-19-detection-simple-way", "kernel_id": "17272401"}, {"ref": "laxmikantnishad/siim-covid19-study-models", "kernel_id": "17577937"}, {"ref": "laxmikantnishad/siim-fisabio-2", "kernel_id": "17135869"}, {"ref": "laxmikantnishad/covid-19-2-para", "kernel_id": "17182858"}, {"ref": "vidhenchauhan/covid-19-2-para", "kernel_id": "17497964"}, {"ref": "flyingturtle0/covid-19-eda", "kernel_id": "17915421"}, {"ref": "hawkeat/covid-dataset-eda", "kernel_id": "17743106"}, {"ref": "haiyunhu/siim-covid19-dicom-to-png", "kernel_id": "17976392"}, {"ref": "haiyunhu/siim-covid19-csv-preprocess-dcm-to-png", "kernel_id": "17977358"}, {"ref": "prashanthsheri/sheri-siim-covid-detection", "kernel_id": "17708367"}, {"ref": "prashanthsheri/siim-covid19-detection-dicom-to-png-conversion", "kernel_id": "17924741"}, {"ref": "prashanthsheri/siim-classification-flow-from-data-frame-resnet50", "kernel_id": "17961026"}, {"ref": "prashanthsheri/siim-classification-resnet50", "kernel_id": "17966571"}, {"ref": "prashanthsheri/siim-covid-19-efficentnetb6-model", "kernel_id": "17967375"}, {"ref": "prashanthsheri/siim-covid-19-preprocessing", "kernel_id": "17966719"}, {"ref": "ammarnassanalhajali/siim-covid-19-detectron2-inferance", "kernel_id": "17686923"}, {"ref": "ammarnassanalhajali/siim-covid-19-convert-dcm-to-jpg-384-512-and-640px", "kernel_id": "17492704"}, {"ref": "ammarnassanalhajali/siim-covid-19-detectron2-training", "kernel_id": "17100076"}, {"ref": "ammarnassanalhajali/siim-covid19-detectron2-inferance", "kernel_id": "17111697"}, {"ref": "ammarnassanalhajali/siim-fisabio-rsna-covid-19-detection-eda", "kernel_id": "17054297"}, {"ref": "yus002/siim-cov19-yolov5-train", "kernel_id": "17876066"}, {"ref": "yus002/siim-cov19-efnb7-yolov5-infer", "kernel_id": "17845873"}, {"ref": "gloriouszy/image-detection-2-classes", "kernel_id": "17678094"}, {"ref": "danielgomezbravo/siim-covid-19-effnetb6-study-level-train-tpu", "kernel_id": "17163627"}, {"ref": "danielgomezbravo/siim-covid-19-detection-cv", "kernel_id": "17153707"}, {"ref": "danielgomezbravo/siim-covid-19-box-detect-dcm-metadata", "kernel_id": "17151824"}, {"ref": "danielgomezbravo/siim-covid-19-effnetb6-study-level-infer", "kernel_id": "17161666"}, {"ref": "miriamassraf/data-analysis", "kernel_id": "17811494"}, {"ref": "blacksheep2105/my-book", "kernel_id": "17220917"}, {"ref": "rajpatankar/notebookafd04c6424", "kernel_id": "17398075"}, {"ref": "rajpatankar/covid-detection-studies-with-multiple-images-viz", "kernel_id": "17429808"}, {"ref": "olivierauffret/notebookd0236d6582", "kernel_id": "17910465"}, {"ref": "klawensliu/simple-dicom2jpg", "kernel_id": "17053689"}, {"ref": "kunihikofurugori/siim-step1-get-imginfo", "kernel_id": "17319126"}, {"ref": "southsakura/covid19", "kernel_id": "17123795"}, {"ref": "wabinab/modified-siim-helper", "kernel_id": "17768626"}, {"ref": "h053473666/siim-covid19-efnb7-train-fold0-5-2class", "kernel_id": "17086741"}, {"ref": "h053473666/siim-cov19-csv-2class", "kernel_id": "17086494"}, {"ref": "h053473666/siim-covid-19-yolo-txt", "kernel_id": "17078699"}, {"ref": "h053473666/infer-study-string", "kernel_id": "17074669"}, {"ref": "h053473666/512-img-png-600-study-png", "kernel_id": "17073059"}, {"ref": "h053473666/siim-covid19-efnb7-train-study", "kernel_id": "17099334"}, {"ref": "h053473666/siim-cov19-efnb7-infer-study", "kernel_id": "17100819"}, {"ref": "h053473666/pydicom-conda-helper", "kernel_id": "17094756"}, {"ref": "h053473666/siim-cov19-efnb7-yolov5-infer", "kernel_id": "17800390"}, {"ref": "h053473666/siim-cov19-yolov5-train", "kernel_id": "17788064"}, {"ref": "simon111/some-useful-dataframes", "kernel_id": "17400492"}, {"ref": "yasinnaal/covid-19-detection-on-chest-radiographs", "kernel_id": "17079092"}, {"ref": "attaullahshafiq/siim-fisabio-rsna-covid-19-detection", "kernel_id": "17072314"}, {"ref": "saeedniksaz/transferlearning-with-vgg16", "kernel_id": "17967619"}, {"ref": "kanishkpatel/eda-and-first-model", "kernel_id": "17864210"}, {"ref": "zaakciiru/test-coco-json", "kernel_id": "17219054"}, {"ref": "zaakciiru/csv-to-coco-json-bbox-resize", "kernel_id": "17082582"}, {"ref": "mohamedbakrey/eda-siim-covid19-detection", "kernel_id": "17165738"}, {"ref": "thrineshduvvuru/siim-covid19-simple-eda", "kernel_id": "17263438"}, {"ref": "sreejadhar/solved-siimcovid-cm-sreeja", "kernel_id": "17985079"}, {"ref": "adrianabukaa/torch-simple-dataloader-with-data-augmentation", "kernel_id": "17584701"}, {"ref": "vinodhkotipalli/covid19-detection-with-regression", "kernel_id": "17666863"}, {"ref": "joaovictormelo/expanations-on-covid-19-problem", "kernel_id": "17726193"}, {"ref": "b07902050tunhsiang/covid-detectron2-inference", "kernel_id": "17873835"}, {"ref": "b07902050tunhsiang/covid-detectron2-training-resnet101", "kernel_id": "17802585"}, {"ref": "b07902050tunhsiang/covid-classification", "kernel_id": "17933538"}, {"ref": "b07902050tunhsiang/covid-eda", "kernel_id": "17959632"}, {"ref": "b07902050tunhsiang/covid-detectron2-training-retinanet-r50", "kernel_id": "17955818"}, {"ref": "shaygreen/darknet-yolov3-siim-covid19", "kernel_id": "17641762"}, {"ref": "dragoonaethis/train-covid-19-detection-using-yolov5", "kernel_id": "17550016"}, {"ref": "dragoonaethis/infer-covid-19-detection-using-yolov5", "kernel_id": "17866561"}, {"ref": "mujinjo/siim-covid-19-how-to-convert-dcm-to-image", "kernel_id": "17085897"}, {"ref": "muhammadimran112233/siim-a-data-science-approach-starter", "kernel_id": "17055599"}, {"ref": "sureeratlaotub/siim-fisabio-rsna-covid-19-detection", "kernel_id": "17087171"}, {"ref": "sureeratlaotub/siim-covid19-detection", "kernel_id": "17888954"}, {"ref": "eunijnjun/covid-19-detection-yolov5", "kernel_id": "17650227"}, {"ref": "kwonjungmin/train-and-detect-covid-19-using-yolov5x", "kernel_id": "17440100"}, {"ref": "chohyungkwon/train-covid-19-detection-using-yolov5-777", "kernel_id": "17613242"}, {"ref": "michaelrocchio/siim-fisabio-rsna-covid-19-keras-cat-only", "kernel_id": "17070436"}, {"ref": "daicongxmu/siim-cov19-efnb7-yolov5-infer", "kernel_id": "17937635"}, {"ref": "givkashi/transferlearning-with-densenet169", "kernel_id": "17901869"}, {"ref": "givkashi/transferlearning-with-inceptionv3", "kernel_id": "17913688"}, {"ref": "givkashi/resnet152v2", "kernel_id": "17940273"}, {"ref": "givkashi/nasnetlarge-model", "kernel_id": "17940831"}, {"ref": "ofeksegev/how-to-apply-augmentations", "kernel_id": "17859412"}, {"ref": "kaplo79/covid-19-2-para", "kernel_id": "17366014"}, {"ref": "baharmoghtadaei/reading-multiple-files-from-different-sub-folders", "kernel_id": "17941812"}, {"ref": "headerstang/siim-fisabio-corona19-detection", "kernel_id": "17077725"}, {"ref": "bedrosova/siim-covid-19-extract-metadata-from-dicom", "kernel_id": "17272807"}, {"ref": "bedrosova/siim-covid-19-duplicates-cleaning", "kernel_id": "17303962"}, {"ref": "vishnusreelavancha/siim-fisabio-rsna-covid-19-detection", "kernel_id": "17587233"}, {"ref": "itsoution/siim-covid-19-512x512-tfrec-data-1", "kernel_id": "17402857"}, {"ref": "skarbergo/siim-covid-19-convert-dicom", "kernel_id": "17495303"}, {"ref": "enomotomasahiro/train-covid-19-detection-using-yolov5", "kernel_id": "17830506"}, {"ref": "enomotomasahiro/siim-covid-basiccnn", "kernel_id": "17694739"}, {"ref": "masamichitoyama/covid", "kernel_id": "17958724"}, {"ref": "ajinkyadeshpande39/general-notebook", "kernel_id": "17655161"}, {"ref": "ajinkyadeshpande39/submit-models", "kernel_id": "17986500"}, {"ref": "ajinkyadeshpande39/efficientnetb7", "kernel_id": "17989231"}, {"ref": "ajinkyadeshpande39/yolo-notebook", "kernel_id": "17874202"}, {"ref": "polarbearafterlunch/data-exploration", "kernel_id": "17562997"}, {"ref": "kerryzwang/aws-upload", "kernel_id": "17450145"}, {"ref": "victorvasanthm/covid-19-detection-chest-radiograph-at-nitc", "kernel_id": "17832501"}, {"ref": "gopichandprathipati/chest-radiographs-covid-19-by-gopi-chand-at-nitc", "kernel_id": "17898233"}, {"ref": "gopichandprathipati/chest-radiographs-of-covid19-at-nitc-by-gopi-chand", "kernel_id": "17783155"}, {"ref": "awesoom/bigdata-project-eda-fe-awesoom", "kernel_id": "17856330"}, {"ref": "timothyyujayhuang/covid-19-detection", "kernel_id": "17926179"}, {"ref": "anlthms/wheels", "kernel_id": "18706470"}, {"ref": "philippsinger/conda-packages", "kernel_id": "18965227"}, {"ref": "gopalmahadevan/siim-effnetv2-l-cascadercnn-mmdetection-infer", "kernel_id": "18790802"}, {"ref": "dipanwita/dip-experiment", "kernel_id": "18546192"}, {"ref": "rbhambri/covid-competition-submission-notebook", "kernel_id": "18492564"}, {"ref": "rbhambri/image-clf-chexnet-vanilla-cnn", "kernel_id": "18126765"}, {"ref": "alexeyfil/data-prepare", "kernel_id": "18233064"}, {"ref": "whatseob/siim-mmdetection", "kernel_id": "18528547"}, {"ref": "wowfattie/notebook68483076ff", "kernel_id": "18811172"}, {"ref": "ivarvb/makesuperpixel-train-0-10", "kernel_id": "18456308"}, {"ref": "ivarvb/test8", "kernel_id": "18249582"}, {"ref": "adarshjois/4x-faster-conversion-to-jpeg-archive", "kernel_id": "18596719"}, {"ref": "adarshjois/vit-study-training-384x384px", "kernel_id": "18661024"}, {"ref": "adarshjois/inference-vit", "kernel_id": "18787364"}, {"ref": "eakdag/external-data-included-dataset-study-only", "kernel_id": "18453713"}, {"ref": "gdoong/self-efficientnetv2-image-2class", "kernel_id": "18985230"}, {"ref": "james00junior/tensornet-mps-siim-fisabio-rsna-covid-19-detection", "kernel_id": "18262537"}, {"ref": "kozistr/infer-effnet-yolov5-w-pp-tta-1", "kernel_id": "18974254"}, {"ref": "avirdee/generating-bounding-boxes-using-grad-cam", "kernel_id": "18645519"}, {"ref": "coldfir3/siim-covid19-inference-image-level", "kernel_id": "18276130"}, {"ref": "coldfir3/siim-covid19-inference-yolov5-4class-v3", "kernel_id": "18601470"}, {"ref": "perrabyte/interestingerrorfinding-covid19-xray-dcm", "kernel_id": "18768304"}, {"ref": "orkatz2/ensemble-uni101-1f6146-b5-v7-2", "kernel_id": "18811160"}, {"ref": "kawaiikeewee/convert-siim-dicom-to-png", "kernel_id": "18468502"}, {"ref": "asiekkinen/siim-covid19-detection-segmentation", "kernel_id": "18000425"}, {"ref": "asiekkinen/siim-covid19-detection-pretrained-vgg16", "kernel_id": "18375672"}, {"ref": "asiekkinen/siim-covid19-detection-preprocessing", "kernel_id": "18443798"}, {"ref": "arishp/eda-siim-covid-19", "kernel_id": "18422601"}, {"ref": "shangweichen/siim-efnb7-train-pytorch-xla-tpu", "kernel_id": "18321849"}, {"ref": "namgalielei/siim-effnetv2-l-infer", "kernel_id": "18722475"}, {"ref": "namgalielei/fork-of-siim-effb3-clf-only", "kernel_id": "18414964"}, {"ref": "telljoy/detectron2", "kernel_id": "18178562"}, {"ref": "telljoy/weighted-boxes-fusion", "kernel_id": "18172038"}, {"ref": "telljoy/pydicom-conda-helper", "kernel_id": "18112689"}, {"ref": "christofhenkel/pip-wheels", "kernel_id": "18950673"}, {"ref": "rajesh1226/visual-inspection-of-data-from-category-of-study", "kernel_id": "18588543"}, {"ref": "tanreinama/gender-bias", "kernel_id": "18312329"}, {"ref": "pvtien96/siim-covid19-efnb7-train-study", "kernel_id": "18319059"}, {"ref": "pvtien96/convert-siim-cov19-to-size-1024", "kernel_id": "18273189"}, {"ref": "pvtien96/siim-covid-19-convert-to-jpg-512px", "kernel_id": "18034789"}, {"ref": "pvtien96/siim-cov19-efnb7-yolov5-infer", "kernel_id": "18031935"}, {"ref": "kyozen/yolo-v5-covid-19", "kernel_id": "18628889"}, {"ref": "dipuk0506/dicom-files-to-rgb-mag-edge1-edge2-512x512", "kernel_id": "18439624"}, {"ref": "dipuk0506/dicom-files-to-rgb-512x512", "kernel_id": "18040113"}, {"ref": "sureshsuri/siim-covid-19", "kernel_id": "18409606"}, {"ref": "ks2019/siim-yolo-lung-detector", "kernel_id": "18809411"}, {"ref": "ayuraj/train-yolov5-cross-validation-ensemble-w-b", "kernel_id": "18583406"}, {"ref": "greeshmakv/siim-covid-19", "kernel_id": "18144622"}, {"ref": "sachinrastogi/siim-c19-lr-train-image-classification", "kernel_id": "18801498"}, {"ref": "sachinrastogi/siims-c19-128-img-png-128-study-png", "kernel_id": "18801591"}, {"ref": "sachinrastogi/siim-c19-lr-train-study-classification", "kernel_id": "18796490"}, {"ref": "prismwinter/vinbigdata-cxr-ad-yolov5-14-class-train", "kernel_id": "18717018"}, {"ref": "prismwinter/siim-cov19-yolov5-train", "kernel_id": "18591249"}, {"ref": "xuxiaoxi/v2-siim-image-efnb7-mmdet-inference", "kernel_id": "18363806"}, {"ref": "xuxiaoxi/export-processed-png-640", "kernel_id": "18368657"}, {"ref": "xuxiaoxi/final-of-fusion-yolov5min", "kernel_id": "18609566"}, {"ref": "adldotori/packages", "kernel_id": "18800356"}, {"ref": "adldotori/efficientdet-inference-better-than-yolov5", "kernel_id": "18651937"}, {"ref": "adldotori/efficientdet-training-better-than-yolov5", "kernel_id": "18480010"}, {"ref": "adldotori/efficientnet-b7-yolov5", "kernel_id": "18115553"}, {"ref": "adldotori/notebookc276434ab6", "kernel_id": "18119607"}, {"ref": "adldotori/efficientdet-preprocessing-better-than-yolov5", "kernel_id": "18330756"}, {"ref": "anima890/covid19-efficientnetb7-train-fold-0-5-2class", "kernel_id": "18330563"}, {"ref": "anima890/siim-covid19-using-efficientnetb7-train-study", "kernel_id": "18330308"}, {"ref": "anima890/siim-covid-19-detection-using-yolov5", "kernel_id": "18321637"}, {"ref": "xanjay/siim-covid-19-detection-extract-dicom-images", "kernel_id": "18107385"}, {"ref": "jitshil143/siim-covid19-efnb7-train-study-jit", "kernel_id": "18366137"}, {"ref": "jitshil143/siim-cov19-efnb7-yolov5-infer-jitshil", "kernel_id": "18285315"}, {"ref": "jitshil143/siim-cov19-efnb7-yolov5-infer", "kernel_id": "18117038"}, {"ref": "jitshil143/filter-cxr-siim-covid-19", "kernel_id": "18611588"}, {"ref": "jitshil143/siim-covid19-efnb7-2class-jitshil", "kernel_id": "18536441"}, {"ref": "jitshil143/siim-cov19-yolov5-train-jit", "kernel_id": "18443120"}, {"ref": "jitshil143/siim-covid-19-best-model-selection", "kernel_id": "18470464"}, {"ref": "jitshil143/siim-cov19-efnb7-yolov5-infer-0-604", "kernel_id": "18503682"}, {"ref": "jitshil143/smart-cropping-3000-last", "kernel_id": "18735491"}, {"ref": "beoloruntobi/train-yolov5-cross-validation-ensemble-w-b", "kernel_id": "18781937"}, {"ref": "beoloruntobi/siim-effnetv2-keras-study-train-tpu-cv0-805", "kernel_id": "18781939"}, {"ref": "justin214/notebookb0fc16a33b", "kernel_id": "18795560"}, {"ref": "rajeshp8783/convert-x-ray-image-to-jpg-format", "kernel_id": "18372908"}, {"ref": "ashokkumar071994/covid-detection-vgg-19", "kernel_id": "18962448"}, {"ref": "kyoshioka47/for-final-submit", "kernel_id": "18630751"}, {"ref": "mikeb127/efficientdet-pytorch-training-starter", "kernel_id": "18413753"}, {"ref": "mikeb127/efficientdet-pytorch-inference-starter", "kernel_id": "18417367"}, {"ref": "ssagar012/covid-project", "kernel_id": "18503388"}, {"ref": "nazmul0087/transfer-learning-with-xception", "kernel_id": "18787423"}, {"ref": "tuhina13/siim-cov19-yolov5", "kernel_id": "18782324"}, {"ref": "ecthompson99/siim-v2-using-yolov5-setup", "kernel_id": "18835357"}, {"ref": "suriyaks/siim-covid-19-detection-eda", "kernel_id": "18556533"}, {"ref": "xinruizhan/store-data", "kernel_id": "18652956"}, {"ref": "jhleeeee/siim-covid-19-convert-to-jpg-512px", "kernel_id": "18137937"}, {"ref": "tensorchoko/siim-covid19-yolov5-predict", "kernel_id": "18074926"}, {"ref": "shrivarsheni/shri-varsheni-yolov5", "kernel_id": "18009215"}, {"ref": "shrivarsheni/siim-covid-19-detectron2-final", "kernel_id": "18603011"}, {"ref": "haplophyrne/cascade-5chanel", "kernel_id": "18959583"}, {"ref": "haplophyrne/fork-of-fork-of-covid-19-segmentation-loss-for-cl", "kernel_id": "18476393"}, {"ref": "fabienbenot/competition-1-dummy-submission-notebook", "kernel_id": "18203593"}, {"ref": "fabienbenot/covid-19-segmentation-loss-for-classifier-model", "kernel_id": "18199935"}, {"ref": "fabienbenot/train-covid-19-detection-using-yolov5", "kernel_id": "18200382"}, {"ref": "aithammadiabdellatif/resnet152models", "kernel_id": "18096544"}, {"ref": "aithammadiabdellatif/siim-infer", "kernel_id": "18963477"}, {"ref": "abhishekprajapat/analysing-effects-of-pretraining", "kernel_id": "18418843"}, {"ref": "varundutt9213/covid-competition-metric-image-level-map", "kernel_id": "18451407"}, {"ref": "allanyiinai/covid19-detection", "kernel_id": "18230689"}, {"ref": "allanyiinai/covid19-detection-images-pipeline", "kernel_id": "18232719"}, {"ref": "drzhuzhe/siim-covid19-efnb7-train-fold0-5-2class", "kernel_id": "18546709"}, {"ref": "drzhuzhe/covid-submit", "kernel_id": "18466211"}, {"ref": "drzhuzhe/covid19-det", "kernel_id": "18400134"}, {"ref": "drzhuzhe/covid19-classify", "kernel_id": "18332003"}, {"ref": "wyyyywwy/siim-covid19-efnb7-train-study", "kernel_id": "18175324"}, {"ref": "wyyyywwy/siim-effnetv2-l-cascadercnn-mmdetection-infer", "kernel_id": "18815098"}, {"ref": "slimshadymm/visualizing-dicoms", "kernel_id": "18363702"}, {"ref": "kaitohonda/eda-modeling", "kernel_id": "18361776"}, {"ref": "nabilbouamara/readdicom", "kernel_id": "18135255"}, {"ref": "nischaydnk/pytorch-models-yolov5-inference", "kernel_id": "18331504"}, {"ref": "thejineaswar/siim-covid-study-training-with-pytorch-lightning", "kernel_id": "18274656"}, {"ref": "josephamigo/siim-retinanet-training", "kernel_id": "18546118"}, {"ref": "liuneng12/siim-cov19-efnb7-yolov5-infer", "kernel_id": "18446551"}, {"ref": "liuneng12/notebookd662850433", "kernel_id": "18656759"}, {"ref": "rpsantosakaggle/dicom-files-using-python-on-r-and-plot-ly-render", "kernel_id": "18496043"}, {"ref": "nathankang/covid-competition-eda", "kernel_id": "18146554"}, {"ref": "jihunlorenzopark/multiprocess-siim-covid-19-convert-to-jpg-256px", "kernel_id": "18032580"}, {"ref": "davidbroberts/smart-cropping-cxr-with-yolov5", "kernel_id": "18534463"}, {"ref": "davidbroberts/cxr-anatomy-detection-with-yolov5", "kernel_id": "18559841"}, {"ref": "davidbroberts/private-tag-correlations", "kernel_id": "18454770"}, {"ref": "davidbroberts/bounding-boxes-on-cropped-images", "kernel_id": "18278391"}, {"ref": "davidbroberts/applying-filters-to-chest-x-rays", "kernel_id": "18361170"}, {"ref": "davidbroberts/lung-segmentation-without-cnn", "kernel_id": "18379187"}, {"ref": "davidbroberts/standardizing-cxr-datasets", "kernel_id": "18233763"}, {"ref": "davidbroberts/unsharp-masking-chest-x-rays", "kernel_id": "18114522"}, {"ref": "davidbroberts/chest-anatomy-detection-train", "kernel_id": "18748424"}, {"ref": "sanchitvj/siim-covid-pytorch-train-study-efnb5", "kernel_id": "18359173"}, {"ref": "samrendraroy/fork-of-fork-of-psudo-40", "kernel_id": "18581531"}, {"ref": "samrendraroy/my-yolo", "kernel_id": "18371165"}, {"ref": "samrendraroy/siim-covid19-efnb7-train-1-study", "kernel_id": "18712712"}, {"ref": "fisheryjn/notebook7614eb5db5", "kernel_id": "18693671"}, {"ref": "trnquckhnh/siim-covid-19-detection-yolov51", "kernel_id": "18773716"}, {"ref": "aranza1972/aranza-covid-siim-1", "kernel_id": "18766491"}, {"ref": "giovannigraziano/reti-siim-covid", "kernel_id": "18467486"}, {"ref": "giovannigraziano/reti-siim-covid-output", "kernel_id": "18576302"}, {"ref": "giovannigraziano/siim-covid19-efnb7-train-study", "kernel_id": "18570270"}, {"ref": "erikjamesmason/ejm-experiment", "kernel_id": "18775473"}, {"ref": "ep18041/siim-covid19-efnb7-train-fold0-5-2class", "kernel_id": "18994597"}, {"ref": "vikasb512/capstone-project-eda-notebook", "kernel_id": "18457517"}, {"ref": "anhvth226/siim-covid-19-convert-to-jpg-1024px-170c20", "kernel_id": "18717401"}, {"ref": "haponmaksym/siim-covid-19-data-preparation-for-training", "kernel_id": "18006804"}, {"ref": "sreevishnudamodaran/siim-effnetv2-keras-study-train-tpu-cv0-805", "kernel_id": "18557581"}, {"ref": "sreevishnudamodaran/siim-effnetv2-l-cascadercnn-mmdetection-infer", "kernel_id": "18651475"}, {"ref": "jasonhuangcn/cnn-ensemble-plan", "kernel_id": "18982859"}, {"ref": "jasonhuangcn/tf-with-resnet101-train", "kernel_id": "18006287"}, {"ref": "sushantjha78/efficientnetb7", "kernel_id": "18881977"}, {"ref": "omararias86/covid19-det", "kernel_id": "18957591"}, {"ref": "laxmikantnishad/siim-cov19-efnb7-yolov5-infer-la", "kernel_id": "18675453"}, {"ref": "laxmikantnishad/siim-cov19-yolov5-train-laxmi", "kernel_id": "18675664"}, {"ref": "niloofarrahmani/transfer-learning-with-mobilenet-v2", "kernel_id": "18429621"}, {"ref": "amokranemancer/siim-inference-yolov4-v5-frcnn-ensemble-1vsall", "kernel_id": "18977758"}, {"ref": "amokranemancer/siim-fisabio-rsna-covid-19-detection-data", "kernel_id": "18562462"}, {"ref": "prashanthsheri/siim-covid-classification-problem-effecientnet-b7", "kernel_id": "18006907"}, {"ref": "prashanthsheri/siim-covid-opacity-detetction-training-ednetd1", "kernel_id": "18762075"}, {"ref": "prashanthsheri/siim-decease-type-classification-efficentnetb7", "kernel_id": "18797220"}, {"ref": "prashanthsheri/siim-covid-detection-sheri", "kernel_id": "18731659"}, {"ref": "denispotapov/train-efficientdet-aug-folding-mixed-precision", "kernel_id": "18858008"}, {"ref": "denispotapov/yolov4-install-inference-efficientnet", "kernel_id": "18549488"}, {"ref": "ammarnassanalhajali/covid-19-detection-yolov5-3classes-inference", "kernel_id": "18234261"}, {"ref": "ammarnassanalhajali/covid-19-detection-yolov5-3classes-training", "kernel_id": "18042519"}, {"ref": "baekseungyun/the-fastest-way-to-inference-yolov5", "kernel_id": "18479872"}, {"ref": "dlidli/covid-19", "kernel_id": "18872911"}, {"ref": "dlidli/covid19-classification", "kernel_id": "18821426"}, {"ref": "dlidli/covid-19-fuse", "kernel_id": "18889506"}, {"ref": "yus002/siim-covid19-train-2-class-map-evaluation", "kernel_id": "18624445"}, {"ref": "yus002/siim-covid19-kushal-terry-study-level-train", "kernel_id": "18456384"}, {"ref": "yus002/siim-covid19-main-train-study", "kernel_id": "18471329"}, {"ref": "yus002/covidstudy", "kernel_id": "18860532"}, {"ref": "miriamassraf/2-class-classification", "kernel_id": "18981057"}, {"ref": "rutunjay/rutunmaal-train", "kernel_id": "18274185"}, {"ref": "afsanehm/object-detection-using-pytorch", "kernel_id": "18881938"}, {"ref": "kunihikofurugori/step1-1-studylevel-datasetwriter", "kernel_id": "18528114"}, {"ref": "kunihikofurugori/siim-step3-1-renew-imglev-ds", "kernel_id": "18551170"}, {"ref": "kunihikofurugori/step2-make-dataframe", "kernel_id": "18116571"}, {"ref": "kunihikofurugori/siim-step4-adjust-imgdistribution", "kernel_id": "18874284"}, {"ref": "kunihikofurugori/siim-step3-2-renew-studylev-ds", "kernel_id": "18795113"}, {"ref": "mohammadfaisaldanish/covid-detection-by-cnn", "kernel_id": "18974108"}, {"ref": "kalabanga/siim-covid-19-convert-to-jpg-256px", "kernel_id": "18118161"}, {"ref": "chrisgollywood/dataset-generator-training-and-validation", "kernel_id": "18020063"}, {"ref": "simon111/yolov5-infer", "kernel_id": "18560856"}, {"ref": "simon111/siim-covid19-inference-image-level", "kernel_id": "18538701"}, {"ref": "lisijia4819576/covid19-classification", "kernel_id": "18868343"}, {"ref": "mehrankamal/siim-cov19-yolov5-train", "kernel_id": "18831884"}, {"ref": "mehrankamal/siim-cov19-yolov5-train-7a078a", "kernel_id": "18831913"}, {"ref": "mehrankamal/siim-cov19-yolov5m6-train", "kernel_id": "18831935"}, {"ref": "mehrankamal/siim-cov19-yolov5s6-train", "kernel_id": "18831947"}, {"ref": "mehrankamal/siim-cov19-yolov5l-finetune", "kernel_id": "18895591"}, {"ref": "mehrankamal/siim-cov19-yolov5x-finetune", "kernel_id": "18895536"}, {"ref": "mehrankamal/siim-cov19-yolov5x-finetune-old", "kernel_id": "18945510"}, {"ref": "abdulkadirguner/06agustos-baselines", "kernel_id": "18744564"}, {"ref": "hichemallou/siim-covid-19-data-preparation", "kernel_id": "18948345"}, {"ref": "zaakciiru/fork-siim-cov19-efnb7-yolov5-infer", "kernel_id": "18655346"}, {"ref": "jenssvensmark/simple-dicom-eda", "kernel_id": "18080441"}, {"ref": "benedicths/only-study-part", "kernel_id": "18439983"}, {"ref": "benedicths/sixth", "kernel_id": "18439852"}, {"ref": "benedicths/third-to-yolo", "kernel_id": "18402052"}, {"ref": "benedicths/second-image-processing", "kernel_id": "18399469"}, {"ref": "benedicths/fourth", "kernel_id": "18416510"}, {"ref": "benedicths/notebook5a1ac4d76e", "kernel_id": "18759659"}, {"ref": "benedicths/tenth-test-prepare", "kernel_id": "18729591"}, {"ref": "benedicths/nineth-fourth2class", "kernel_id": "18729289"}, {"ref": "benedicths/eighth", "kernel_id": "18710322"}, {"ref": "ankurgupta29/siim-c-19-yolo-v5-train", "kernel_id": "18964021"}, {"ref": "santosh1974/siim-decease-type-classification-1", "kernel_id": "18842895"}, {"ref": "santosh1974/siim-covid-opacity-detetction-training-1", "kernel_id": "18844662"}, {"ref": "gordonhu608/siim-covid19-efnb7-train-study-acc-metric", "kernel_id": "18613216"}, {"ref": "gordonhu608/siim-covid-19-convert-to-3-color-jpg-512-download", "kernel_id": "18287634"}, {"ref": "takafumifujii/siim-cov19-efnb7-yolov5-infer", "kernel_id": "18347113"}, {"ref": "takafumifujii/siim-cov19-prediction", "kernel_id": "18638039"}, {"ref": "darkravager/efficientnetv2-m-siim-fold-3", "kernel_id": "18590973"}, {"ref": "darkravager/efficientnetv2-m-siim-fold2", "kernel_id": "18591458"}, {"ref": "ivgona/submission-testing", "kernel_id": "18136117"}, {"ref": "viratshukla/geoai-yolov5-efficientnet-wandb-submission-i-off", "kernel_id": "18829036"}, {"ref": "shubhanshuchauhan1/notebooke86beffbf9", "kernel_id": "18496548"}, {"ref": "tyaiga/make-mask-png", "kernel_id": "18095457"}, {"ref": "mominsiddiqui/trial-1", "kernel_id": "18552271"}, {"ref": "daicongxmu/siim-cov19-efnb7-yolov5-infer-200epo", "kernel_id": "18320215"}, {"ref": "givkashi/transfer-learning-with-vgg19", "kernel_id": "18469977"}, {"ref": "poruskapil1/effnet-model", "kernel_id": "18735889"}, {"ref": "aminotyrosine/siim-cov19-efnb7-yolov5-infer-f02ab3", "kernel_id": "18455462"}, {"ref": "daxit123/siim-effnetv2-l-cascadercnn-mmdetection-infer", "kernel_id": "18772721"}, {"ref": "amar2102/efnet4-train", "kernel_id": "18092869"}, {"ref": "ajinkyadeshpande39/efficientnetb7-dataset", "kernel_id": "18714016"}, {"ref": "andernzhu/train-covid-19-detection", "kernel_id": "18497036"}, {"ref": "ericksoares/rsna-robocin-ufpe", "kernel_id": "18580900"}, {"ref": "deptraicute/torch-aux-loss-siim", "kernel_id": "18622759"}, {"ref": "ajinkyavnit/efficientnetb7-dataset", "kernel_id": "18616050"}, {"ref": "deephackernn/siim-covid-19-yolo-txt", "kernel_id": "18612054"}, {"ref": "deephackernn/siim-cov19-yolov5x-my-version", "kernel_id": "18623060"}, {"ref": "deephackernn/fork-of-metric-siim-cov19-yolov5x-5-0-folds-2", "kernel_id": "18902382"}, {"ref": "deephackernn/metric-siim-cov19-yolov5x-5-0-folds-1", "kernel_id": "18881262"}, {"ref": "deephackernn/metric-siim-cov19-yolov5x-5-0-folds-2", "kernel_id": "18883594"}, {"ref": "deephackernn/siim-cov19-yolov5x-my-version-exp", "kernel_id": "18798885"}, {"ref": "akshays12/objectinference-yolov5s-060721", "kernel_id": "18373993"}, {"ref": "akshays12/object-yolov5l6-200721", "kernel_id": "18576099"}, {"ref": "akshays12/objecttrain-swinbcascademrcnn-060721", "kernel_id": "18400140"}, {"ref": "akshays12/inference-efficientnetyolov5", "kernel_id": "18840255"}, {"ref": "akshays12/inference-efficientnet-efficientdet", "kernel_id": "18946462"}, {"ref": "akshays12/inference-efficientnet", "kernel_id": "18710875"}, {"ref": "leakoil/siim-fasterrcnn", "kernel_id": "18557240"}, {"ref": "chuanweifan/fancy-first-test-for-pre", "kernel_id": "18566971"}, {"ref": "gucchinyo/covid-19-asobi", "kernel_id": "18599697"}, {"ref": "akshaypratapsingh/inference-efficientnet", "kernel_id": "18760768"}, {"ref": "akshaypratapsingh/objecttrain-swinbcascademrcnn-060721", "kernel_id": "18779071"}, {"ref": "benedictshs/eighth", "kernel_id": "18773405"}, {"ref": "benedictshs/mmdt-cascade-train", "kernel_id": "18773548"}, {"ref": "aditikundu/notebookfd97b490b5", "kernel_id": "18895084"}, {"ref": "hengck23/final-v-00-private-public-score-0-615-0-628", "kernel_id": "19422809"}, {"ref": "aaronbcj/ljmu-2-preprocessing", "kernel_id": "19464044"}, {"ref": "aaronbcj/ljmu-1-eda", "kernel_id": "19396181"}, {"ref": "aaronbcj/ljmu-4-train-test-split", "kernel_id": "19558314"}, {"ref": "aaronbcj/ljmu-3-256jpg", "kernel_id": "19498589"}, {"ref": "aaronbcj/ljmu-5-exp1-training", "kernel_id": "19596068"}, {"ref": "aaronbcj/ljmu-6-exp1-inference", "kernel_id": "19604115"}, {"ref": "aaronbcj/ljmu-7-stylegan-imggen", "kernel_id": "19707781"}, {"ref": "swimmy/cnn-ensemble-plan", "kernel_id": "19287695"}, {"ref": "inoueu1/siim-sub145-lp-c2-effv2m-l-p-swin-mmdet", "kernel_id": "19394711"}, {"ref": "shangweichen/siim-cls-train-swin", "kernel_id": "19169755"}, {"ref": "kc3222/siim-cov19-efnv2-vit-2-clsx2-effdet-yolov5-cascade", "kernel_id": "19014065"}, {"ref": "deepkim/simpleavgaugmentaddst-512-640-480m2round-addcascad", "kernel_id": "19362164"}, {"ref": "yingpengchen/siim-covid19-detection-inference-fast", "kernel_id": "19365131"}, {"ref": "greylord1996/effnetb4-effnetv2-retinanet-nmw", "kernel_id": "19122130"}, {"ref": "eneszvo/siim-fisabio-rsna-covid-19-detection-summary", "kernel_id": "19433122"}, {"ref": "nisheethjaiswal/image-resize-siim-covid-19-detection", "kernel_id": "19088370"}, {"ref": "c7934597/cnn-ensemble-plan", "kernel_id": "19329237"}, {"ref": "sachinrastogi/siim-c19-enenv2-v7-enresnetefv7-enyolommdwbfonly", "kernel_id": "19424291"}, {"ref": "nvnnghia/siim2021-final-sub2", "kernel_id": "19358043"}, {"ref": "ilu000/siim-covid-detection-9th-place", "kernel_id": "19967854"}, {"ref": "tt195361/siim-covid-19-tf-study-level-model-with-aux-loss", "kernel_id": "19494739"}, {"ref": "justin214/siim-covid19-simple-data-augmentation-techniques", "kernel_id": "19033944"}, {"ref": "yujiariyasu/fork-of-siim-covid-19-full-pipeline-v2", "kernel_id": "19640495"}, {"ref": "morizin/siim-covid19-detection-inferemce", "kernel_id": "19359784"}, {"ref": "awsaf49/siim-covid19-detection-final-infer", "kernel_id": "19636350"}, {"ref": "aidynub/validation-pipeline-4cls-10mdlswp-bincl-3mdls-d", "kernel_id": "19394011"}, {"ref": "ssagar012/siim-covid-19-novice-notebook-eda-box-detection", "kernel_id": "19390866"}, {"ref": "kapil7980/cnn-ensemble-plan", "kernel_id": "19353713"}, {"ref": "kapil7980/cnn-ensemble-plan-13d0cb", "kernel_id": "19354643"}, {"ref": "aithammadiabdellatif/resnet10", "kernel_id": "19011885"}, {"ref": "aithammadiabdellatif/b5trian", "kernel_id": "19011761"}, {"ref": "drzhuzhe/v2-covid-submit", "kernel_id": "19223412"}, {"ref": "wyyyywwy/siim-mmdetection-cascadercnn-weight-bias", "kernel_id": "19199955"}, {"ref": "nischaydnk/604e8587410a-v2m-bin-weighted", "kernel_id": "19403331"}, {"ref": "jihunlorenzopark/siim-covid-sub-mmdet", "kernel_id": "19402771"}, {"ref": "fisheryjn/image-detection-model-repeat", "kernel_id": "19321326"}, {"ref": "fisheryjn/study-class-models-efficientnetb7", "kernel_id": "19636336"}, {"ref": "fisheryjn/late-submission", "kernel_id": "19631912"}, {"ref": "fisheryjn/efficientnetb7-2-class-models", "kernel_id": "19517761"}, {"ref": "trnquckhnh/cnn-ensemble-plan-dc8da3", "kernel_id": "19308832"}, {"ref": "jirkaborovec/covid-detection-with-lightning-flash", "kernel_id": "19033017"}, {"ref": "jirkaborovec/covid-detection-with-lightning-flash-inference", "kernel_id": "19404408"}, {"ref": "drtausamaru/final-submission-ver001", "kernel_id": "19227330"}, {"ref": "alian115/my-yolov5", "kernel_id": "19258413"}, {"ref": "sureshdudi/training-using-yolov5", "kernel_id": "19286972"}, {"ref": "rajat95gupta/cnn-ensemble-plan", "kernel_id": "19073978"}, {"ref": "ep18041/siim-covid19-efnb7-train-study", "kernel_id": "19068942"}, {"ref": "ep18041/fork-of-siim-covid19-efnb5-train-fold0-5-2class", "kernel_id": "19019567"}, {"ref": "harshit2708/siim-effnetv2-l-cascadercnn-mmdetection-infer", "kernel_id": "19188160"}, {"ref": "harshit2708/cnn-ensemble-plan-13d0cb", "kernel_id": "19397864"}, {"ref": "kennsi/fork-of-export-processed-png-512-600", "kernel_id": "19500570"}, {"ref": "omararias86/2ndeffv21k-siim-cov19-efnb7-infer-yolo-x-m-s", "kernel_id": "19343309"}, {"ref": "charujain28/siim-covid-train", "kernel_id": "19215915"}, {"ref": "charujain28/siim-covid-visualization", "kernel_id": "19153067"}, {"ref": "denispotapov/infer-swin-transformer-object-detection-sota", "kernel_id": "19008941"}, {"ref": "nishabalaji3/heatmaps1", "kernel_id": "19001346"}, {"ref": "miriamassraf/train-efficientdet", "kernel_id": "19470280"}, {"ref": "miriamassraf/inference-efficientdet", "kernel_id": "19314183"}, {"ref": "kunihikofurugori/siim-infer-finalsubmission", "kernel_id": "19344896"}, {"ref": "kunihikofurugori/siim-infer-torch-tf-ensemblemodel", "kernel_id": "19192795"}, {"ref": "ishaanparikhbits/submission-ishaan", "kernel_id": "19311158"}, {"ref": "daksh2599/notebook86f91d8ce0", "kernel_id": "19156752"}, {"ref": "mehrankamal/siim-vit", "kernel_id": "19150473"}, {"ref": "benedicths/only-study-wvoting2-xception-efbn-resnet", "kernel_id": "19400753"}, {"ref": "iftiben10/covid-19-yolov5-16models-huge-ensemble-infer", "kernel_id": "19173307"}, {"ref": "ankurgupta29/train-siim-c-19-study-level-train-model", "kernel_id": "19019891"}, {"ref": "ankurgupta29/siim-c-19-yolo-v5-submission", "kernel_id": "19440113"}, {"ref": "malleshamanumula/train-yolov5-siim-covid-class-opacity-only", "kernel_id": "19135347"}, {"ref": "malleshamanumula/geoai-train-covid-efficientnet-image", "kernel_id": "19204218"}, {"ref": "a1okyadav/improved-infer-v2-with-tta-flip-zoom", "kernel_id": "19317101"}, {"ref": "ankurmondal20122027/siim-covid19-detectron2-inferance", "kernel_id": "19969632"}, {"ref": "iamabp/datapipeline-and-training", "kernel_id": "19683752"}, {"ref": "iamabp/datasetcreation", "kernel_id": "19583396"}, {"ref": "iamabp/tensorflowrecords-creation", "kernel_id": "19622777"}, {"ref": "yadneshmankame/yadnesh", "kernel_id": "19393149"}, {"ref": "dhruvkmathew/siim-covid-19-submission-v1", "kernel_id": "19232113"}, {"ref": "balavashan/siim-cnn", "kernel_id": "19364297"}, {"ref": "ajinkyadeshpande39/cnn-ensemble-plan", "kernel_id": "19303000"}, {"ref": "terenceythsu/siim-covid19-2021-6th-place", "kernel_id": "19256305"}, {"ref": "ajinkyavnit/submit-models-a4c331", "kernel_id": "19311203"}, {"ref": "ajinkyavnit/yolo-notebook-2", "kernel_id": "19398288"}, {"ref": "collinzrj/siim-collin", "kernel_id": "19346982"}, {"ref": "liuyiming321/inference-of-yolov5", "kernel_id": "19257439"}, {"ref": "aditikundu/siim-covid-19-detectron2-training", "kernel_id": "19414323"}, {"ref": "aditikundu/siim-covid19", "kernel_id": "19981116"}, {"ref": "aaronbcj/ljmu-16-exp9-inference", "kernel_id": "20120762"}, {"ref": "aaronbcj/ljmu-17-exp10-training", "kernel_id": "20121326"}, {"ref": "aaronbcj/ljmu-18-exp10-inference", "kernel_id": "20121721"}, {"ref": "aaronbcj/ljmu-14-exp8-inference", "kernel_id": "20115354"}, {"ref": "aaronbcj/ljmu-15-exp9-training", "kernel_id": "20115834"}, {"ref": "aaronbcj/ljmu-9-exp6-training", "kernel_id": "20077810"}, {"ref": "aaronbcj/ljmu-13-exp8-training", "kernel_id": "20088051"}, {"ref": "aaronbcj/ljmu-10-exp6-inference", "kernel_id": "20084768"}, {"ref": "aaronbcj/ljmu-11-exp7-training", "kernel_id": "20085740"}, {"ref": "aaronbcj/ljmu-12-exp7-inference", "kernel_id": "20087189"}, {"ref": "aaronbcj/ljmu-14-exp8-inference-false", "kernel_id": "20160812"}, {"ref": "minniekabra/yolo-subm-v1", "kernel_id": "20179421"}, {"ref": "namgalielei/siim-effb7-unet", "kernel_id": "20026561"}, {"ref": "danilofc/projeto-iadd-covid19", "kernel_id": "20585371"}, {"ref": "danilofc/fork-of-projeto-iadd-covid19", "kernel_id": "20638283"}, {"ref": "tjan90/train-covid-19-detection-using-yolov5", "kernel_id": "20189056"}, {"ref": "reichsrat/covid-note1", "kernel_id": "20550323"}, {"ref": "jeon0329/covid-19-eda", "kernel_id": "20359685"}, {"ref": "stanbergey/rsna-covid-lung-yolov5", "kernel_id": "20758410"}, {"ref": "stanbergey/fasterr-rcnn-final", "kernel_id": "20789030"}, {"ref": "givkashi/covid-classification-with-efficientnetb0-tf", "kernel_id": "20933578"}, {"ref": "abhisheksingh000261/major-project-eda", "kernel_id": "21488481"}, {"ref": "abidrafiq/3920186110287-abid-rafiq", "kernel_id": "21112852"}, {"ref": "diegoestradaxo/proyecto-2-covid-19-detection-data-science", "kernel_id": "21462254"}, {"ref": "j4m3sc/redralec", "kernel_id": "21578877"}, {"ref": "cantiryaki/yolov5-ile-covid-19-tespiti", "kernel_id": "21983712"}, {"ref": "aarhonjoshuaaa18i301/faster-rcnn", "kernel_id": "21095572"}, {"ref": "aarhonjoshuaaa18i301/fasterrcnn-batch8", "kernel_id": "21226399"}, {"ref": "billll/train-covid-19-detection-using-yolov5", "kernel_id": "21950192"}, {"ref": "shijingshu/comp4471", "kernel_id": "21719912"}, {"ref": "mehreetsingh/siim-covid-19-box-detect-dcm-metadata-final", "kernel_id": "22665752"}, {"ref": "emreustundag/siim-covid-tl-ann-classifier", "kernel_id": "22586588"}, {"ref": "emreustundag/siim-covid-tl-svm-classifier", "kernel_id": "22584292"}, {"ref": "j4m3sc/predicticralec", "kernel_id": "22417194"}, {"ref": "lystriving/forking-from-ljmu-18-exp10-inference", "kernel_id": "22396300"}, {"ref": "yaswanthgali/covid-data", "kernel_id": "22039550"}, {"ref": "billll/train-siim-covid-19-detection-fasterrcnn", "kernel_id": "22194380"}, {"ref": "billll/inference-covid-19-detection-using-yolov5", "kernel_id": "22249442"}, {"ref": "billll/siim-effnetv2-l-cascadercnn-mmdetection-infer", "kernel_id": "22251777"}, {"ref": "kagglelyy/siim-covid19-2021", "kernel_id": "23057841"}, {"ref": "billll/train-efficientdet-aug-folding-mixed-precision", "kernel_id": "23110982"}, {"ref": "mathurinache/siim-covid19-2021", "kernel_id": "24877114"}, {"ref": "haoqiu111/rsna-v1", "kernel_id": "24962753"}, {"ref": "sheel1206/notebookb8459e07f5", "kernel_id": "25730652"}, {"ref": "tangwoyih/fyp-eda", "kernel_id": "25303963"}, {"ref": "player351/covid-detection-using-radio-graphs", "kernel_id": "25955467"}, {"ref": "chanpreet07/efficientnetb7-2-class-models", "kernel_id": "26501806"}, {"ref": "manikiran744/siim2021-submission", "kernel_id": "26166366"}, {"ref": "prateeksrm/major-project-1-f", "kernel_id": "26673911"}, {"ref": "aericg/testa123123", "kernel_id": "26833669"}, {"ref": "joyxywang/notebook41d4036aab", "kernel_id": "26857603"}, {"ref": "nintendoalvaro/cascadercnn-weight-bias", "kernel_id": "27362174"}, {"ref": "mariuszwisniewski/dyhead-s-view-on-covid-19", "kernel_id": "27491660"}, {"ref": "mariuszwisniewski/cascade-r-cnn-s-view-on-covid-19", "kernel_id": "27491889"}, {"ref": "aericg/siim-mmdetection-train-demo", "kernel_id": "27644193"}, {"ref": "joyxywang/testa123123", "kernel_id": "27644130"}, {"ref": "joyxywang/testa123123-a766a4", "kernel_id": "27852721"}, {"ref": "joyxywang/testa123123-2f4190", "kernel_id": "27852945"}, {"ref": "champpattara/work-with-dicom", "kernel_id": "28847278"}, {"ref": "camilla1002/covid-data-analysis-and-preprocessing-i", "kernel_id": "28783742"}, {"ref": "kunalshivhare/covid19-detection-with-vit-and-heatmap", "kernel_id": "29041821"}, {"ref": "tatsumicrub/cnn-ensemble", "kernel_id": "29792222"}, {"ref": "tokgocloud/siimm", "kernel_id": "29211952"}, {"ref": "tokgocloud/siimmmm", "kernel_id": "29616987"}, {"ref": "tokgocloud/siim-covid19-efnb7-train-study", "kernel_id": "30604152"}, {"ref": "tokgocloud/siim-covid19-efnb7-train-fold0-5-2class-079c5d", "kernel_id": "30617649"}, {"ref": "easara/dr-grade-classification-with-vit-grad-cam", "kernel_id": "31141682"}, {"ref": "chinmaypatil176/dlei-lab5pretrained-unet-lung-segmentation-dataset", "kernel_id": "31933752"}, {"ref": "alexanderyyy/siim-covid-19-process-to-jpg-512-with-bboxes", "kernel_id": "31796618"}, {"ref": "alexanderyyy/siim-covid-19-icevision-training", "kernel_id": "31882805"}, {"ref": "alexanderyyy/visual-verification", "kernel_id": "31864732"}, {"ref": "alexanderyyy/hints-submitting-offline-kernel-to-a-competition", "kernel_id": "32991414"}, {"ref": "alexanderyyy/siim-cov19-processed-cleaned-jpg-512-with-bboxes", "kernel_id": "32097797"}, {"ref": "kawanao/vgg-add-one-layer-simple-train", "kernel_id": "33217665"}, {"ref": "paultheoctopus/notebook645fad39ec", "kernel_id": "33494245"}, {"ref": "abdussalamelhanashy/rsna-covid-lung-yolov5", "kernel_id": "33356711"}, {"ref": "vivianlong/covid19-dataset-leaf-model", "kernel_id": "35508390"}, {"ref": "zuojianfeng/siim-mmdetection-cascadercnn-weight-bias-f124e3", "kernel_id": "35366921"}, {"ref": "nghihuynh/kaggle-ai-report-medical-imaging-competitions", "kernel_id": "40675396"}, {"ref": "leandroipca/train-yolov5-cross-validation-ensemble-w-b", "kernel_id": "40053031"}, {"ref": "saaaaaraaaaa/image-enhancement-fuzzy-tsukamoto-covid-19", "kernel_id": "40884080"}, {"ref": "nikhilgudladona/siim-cov19-yolov5-train", "kernel_id": "41036536"}, {"ref": "seedellasaivikas/covid-19-detection-using-aux-loss", "kernel_id": "42814728"}, {"ref": "potumartichetansai/covid19-project", "kernel_id": "42787342"}, {"ref": "anirudh123456789/420238-deep-learning-project", "kernel_id": "42844097"}, {"ref": "martacoll/eda-siim-covid19-detection", "kernel_id": "45522897"}, {"ref": "martacoll/data-preprocessing-siim-covid19-detection", "kernel_id": "46072848"}, {"ref": "martacoll/detection-siim-covid-19-detection-yolov5m", "kernel_id": "46253997"}, {"ref": "umaiskhan19/pretrained-unet-lung-segmentation", "kernel_id": "47046932"}, {"ref": "martacoll/detection-siim-covid-19-detection-yolov5-allbkg", "kernel_id": "47926565"}, {"ref": "martacoll/detection-siim-covid-19-detection-yolov5-ensmbl", "kernel_id": "48772534"}, {"ref": "martacoll/detection-siim-covid-19-detection-yolov5x", "kernel_id": "48537814"}, {"ref": "martacoll/detection-siim-covid-19-detection-yolov5s", "kernel_id": "48596719"}, {"ref": "martacoll/detection-siim-covid-19-detection-yolov5l", "kernel_id": "48321692"}, {"ref": "samarp2p/major", "kernel_id": "52398641"}, {"ref": "eshasabir17gmailcom/data-preprocessing-siim-covid19-detection", "kernel_id": "56752259"}, {"ref": "foryousensei/covid-19-image-enhancement", "kernel_id": "58285826"}, {"ref": "ahmadali47/covid-19-detection-using-chest-x-ray-images", "kernel_id": "59207117"}, {"ref": "tnanit/21022012-trankhanhduy-covid-faster-r-cnn", "kernel_id": "60271823"}, {"ref": "ahmadgamal611/covid-19-detection-595676", "kernel_id": "69674589"}, {"ref": "rebaihabib/pulmonary-dicom-preprocessing", "kernel_id": "72827098"}, {"ref": "ayushjaiz/covid19-detection-with-vit-and-heatmap", "kernel_id": "73419940"}, {"ref": "shuvendubosediganta/infer-swin-transformer-object-detection-sota", "kernel_id": "84645168"}, {"ref": "mehreetsingh/fork-of-siim-covid-19-box-detect-dcm-metadat", "kernel_id": "95686995"}, {"ref": "mesfindanielsorato/train-covid-19-detection-using-yolov5-64c085", "kernel_id": "100161615"}, {"ref": "jishnuks17/pulmonary-dicom-preprocessing", "kernel_id": "109669890"}, {"ref": "guohan1121/train-siim-covid-19-detection-fasterrcnn", "kernel_id": "117609081"}, {"ref": "guohan1121/train-siim-covid-19-detection-fasterrc-d184b1", "kernel_id": "118963554"}]}
{"competition_id": "26685", "kernels": []}
{"competition_id": "26687", "kernels": [{"ref": "derekcai/spring-2021-cx-kaggle-final-project", "kernel_id": "15749046"}]}
{"competition_id": "26688", "kernels": [{"ref": "seefun/automl-using-auto-gluon", "kernel_id": "16799177"}, {"ref": "tyanliu/practice", "kernel_id": "16603836"}, {"ref": "jackzh/the-4th-place-approach-random-forest", "kernel_id": "16902793"}, {"ref": "whurobin/baseline", "kernel_id": "16469246"}, {"ref": "whurobin/my-1st-approach-to-data-science-process", "kernel_id": "16542549"}, {"ref": "wuwawa/automl-using-h2o", "kernel_id": "16903492"}, {"ref": "haoyilin/d2l-kaggle-getting-started", "kernel_id": "16322403"}, {"ref": "linglu0/linear-baseline", "kernel_id": "16517951"}, {"ref": "litianfu1997/magic-defeats-magic", "kernel_id": "16465863"}, {"ref": "curiosity30/the-12th-place-approach-catboost", "kernel_id": "16676924"}, {"ref": "alexandreazhang/using-dl-to-predict-housing-prices", "kernel_id": "17503100"}, {"ref": "alandata666/automl-l-lightgbm", "kernel_id": "18119912"}, {"ref": "xiaolinzixl/house-predict", "kernel_id": "18993455"}, {"ref": "gilbertobernal/california-home-sales", "kernel_id": "19482881"}, {"ref": "a165079/house-price-prediction", "kernel_id": "22693667"}, {"ref": "kinzhangglimmer/kaggle", "kernel_id": "23006683"}, {"ref": "zuiyinxiansheng/notebooke5af5799bb", "kernel_id": "26926557"}, {"ref": "upupyinghao/kaggle", "kernel_id": "28686165"}, {"ref": "rickyyoung4364/notebook-chinesethe1stlearning-practice", "kernel_id": "30146043"}, {"ref": "mlneko/convert-zip-code-to-detailed-location", "kernel_id": "36062187"}, {"ref": "mlneko/pytorch-mlp-process-text-by-spacy", "kernel_id": "36310814"}, {"ref": "uicyar/using-d2l-to-predict-housing-prices", "kernel_id": "37809964"}, {"ref": "levasyukdy/data-preprocessing-regression-models", "kernel_id": "39234925"}, {"ref": "qinjiwu/d2l-homework-california-house-prices", "kernel_id": "41875747"}, {"ref": "insist19/bygyy", "kernel_id": "47999790"}, {"ref": "alexandrachan114/1st-house-price-predicting", "kernel_id": "61207137"}, {"ref": "jluldx/california-house", "kernel_id": "80267536"}, {"ref": "aidkit1008/eeee3077-coursework", "kernel_id": "81105119"}, {"ref": "nyarlth/tf-idf-enhanced-fully-connected-neural-network", "kernel_id": "81499444"}, {"ref": "zelongtan/mlp-house-price-predictor", "kernel_id": "84187986"}, {"ref": "ywfhhh/mlp-130776", "kernel_id": "84944936"}, {"ref": "mdsaminulamin/california-house-prices-dl", "kernel_id": "102692491"}, {"ref": "mdsaminulamin/california-house-prices", "kernel_id": "102245669"}, {"ref": "hosseinbadrnezhad/california-house-prices-prediction-light-gbm", "kernel_id": "106166197"}, {"ref": "hosseinbadrnezhad/california-house-prices-prediction", "kernel_id": "106164297"}, {"ref": "nightda/california-house-prices", "kernel_id": "132914640"}]}
{"competition_id": "26691", "kernels": []}
{"competition_id": "26692", "kernels": []}
{"competition_id": "26693", "kernels": []}
{"competition_id": "26694", "kernels": [{"ref": "tongpollawat/easy-4-marks", "kernel_id": "15946908"}, {"ref": "bearwisky/notebookaee3396e38", "kernel_id": "15844848"}, {"ref": "patipanb/datascience-project", "kernel_id": "16103751"}, {"ref": "kristpornpairin/how-to-submission-for-dump", "kernel_id": "16763636"}, {"ref": "tolapsaturam/pm2-5", "kernel_id": "16269808"}]}
{"competition_id": "26700", "kernels": []}
{"competition_id": "26707", "kernels": []}
{"competition_id": "26710", "kernels": []}
{"competition_id": "26717", "kernels": []}
{"competition_id": "26720", "kernels": []}
{"competition_id": "26729", "kernels": []}
{"competition_id": "26742", "kernels": []}
{"competition_id": "26743", "kernels": []}
{"competition_id": "26748", "kernels": []}
{"competition_id": "26757", "kernels": [{"ref": "jeffheaton/jheaton-mc-fake-starter-b", "kernel_id": "15719893"}, {"ref": "jswxhd/fake-mc-image-detection", "kernel_id": "15750379"}]}
{"competition_id": "26761", "kernels": []}
{"competition_id": "26773", "kernels": []}
{"competition_id": "26775", "kernels": []}
{"competition_id": "26778", "kernels": [{"ref": "ladanova/sberbank", "kernel_id": "16514853"}, {"ref": "bredonos/payment-systems-detection", "kernel_id": "16833380"}, {"ref": "artona/sberbank-payment-systems-detection", "kernel_id": "16572506"}, {"ref": "hardtype/payment-detection-notebook", "kernel_id": "16961905"}, {"ref": "maximblaze/payment-systems-detection", "kernel_id": "16403143"}, {"ref": "kaggleuser983/notebook3c64cdafe5", "kernel_id": "16158334"}, {"ref": "thebigblack/yarovoi-ivan-payment-detection", "kernel_id": "17014481"}, {"ref": "artyomneskaju/payment-detection", "kernel_id": "17017164"}, {"ref": "michosi/notebook2961a2f0d4", "kernel_id": "17005556"}, {"ref": "sergiogavrilov/notebook8b5024783b", "kernel_id": "17090649"}]}
{"competition_id": "26781", "kernels": []}
{"competition_id": "26784", "kernels": []}
{"competition_id": "26787", "kernels": []}
{"competition_id": "26788", "kernels": [{"ref": "kirichenko17roman/initial-example-dt", "kernel_id": "15750911"}]}
{"competition_id": "26792", "kernels": []}
{"competition_id": "26794", "kernels": []}
{"competition_id": "26795", "kernels": [{"ref": "zaevroman/ruspace", "kernel_id": "15929548"}, {"ref": "vlomme/baseline", "kernel_id": "16088881"}, {"ref": "unfriendlyai/your-own-personal-auto88coder", "kernel_id": "16388656"}, {"ref": "zaevroman/ruspace-best", "kernel_id": "16398949"}]}
{"competition_id": "26808", "kernels": []}
{"competition_id": "26809", "kernels": [{"ref": "aleksandrborisenko/churnrate", "kernel_id": "33632492"}]}
{"competition_id": "26811", "kernels": [{"ref": "panfordkobby/ammi-project-starter-code", "kernel_id": "15839366"}, {"ref": "jean72human/ammi-cassava-warriors-starter-code", "kernel_id": "16076070"}, {"ref": "lvdmaaten/ammi-2022-convnets-starter-code", "kernel_id": "25432166"}]}
{"competition_id": "26812", "kernels": []}
{"competition_id": "26817", "kernels": []}
{"competition_id": "26819", "kernels": [{"ref": "rn1n3r/exploring-the-data", "kernel_id": "15789360"}]}
{"competition_id": "26821", "kernels": []}
{"competition_id": "26830", "kernels": []}
{"competition_id": "26831", "kernels": []}
{"competition_id": "26834", "kernels": [{"ref": "juanven/ropamujer-metodos", "kernel_id": "16183366"}]}
{"competition_id": "26836", "kernels": []}
{"competition_id": "26845", "kernels": []}
{"competition_id": "26848", "kernels": []}
{"competition_id": "26858", "kernels": []}
{"competition_id": "26861", "kernels": [{"ref": "kuantinglai/notebook9b0b63148a", "kernel_id": "15828632"}, {"ref": "t109c51519/notebook9b0b63148a", "kernel_id": "15829415"}]}
{"competition_id": "26872", "kernels": []}
{"competition_id": "26873", "kernels": []}
{"competition_id": "26875", "kernels": []}
{"competition_id": "26879", "kernels": []}
{"competition_id": "26880", "kernels": [{"ref": "jceoval/manda-por-sedex-iris", "kernel_id": "16619768"}, {"ref": "jopedro/envio-simples", "kernel_id": "16596565"}, {"ref": "murilobelarmino/neur-nios-mec-nicos-dorminhocos-na-terapia", "kernel_id": "16641121"}, {"ref": "bardelotte/aprendizado-de-m-quina-task-1", "kernel_id": "16639199"}, {"ref": "antniocarlosherling/knn-96-acur-cia-no-treino", "kernel_id": "16292136"}, {"ref": "matheussinis/grupo-elbow-pain-iris", "kernel_id": "16595965"}, {"ref": "wesleysilva92/neyteam-task-01", "kernel_id": "16618935"}, {"ref": "gabrielvjesus/ativ-1", "kernel_id": "16640707"}, {"ref": "anaclaramedeiros/predi-o-iris", "kernel_id": "16638677"}, {"ref": "matheuscerqueira/rvores-aleat-rias-uma-abordagem-explorat-ria", "kernel_id": "16618447"}, {"ref": "guilhermeguimaraes12/task01", "kernel_id": "16639242"}, {"ref": "diegotalarico/task01", "kernel_id": "16489293"}, {"ref": "joaopc/task01-iris", "kernel_id": "16413867"}, {"ref": "renanchun2/iris-dataset-gradient-boosting", "kernel_id": "16638413"}, {"ref": "bernardobarretoabreu/svm-tuscademy", "kernel_id": "16505423"}, {"ref": "marcelopinto/sme0829-pjt1", "kernel_id": "16620235"}, {"ref": "marianafsouza/final", "kernel_id": "16616558"}, {"ref": "msadsouza/machine-learning-trabalho-1", "kernel_id": "16641317"}, {"ref": "diegogiaretta/task1-lda-classif-mls", "kernel_id": "16622484"}, {"ref": "fernando1729dasilva/v4-taks1", "kernel_id": "16637012"}, {"ref": "fernando1729dasilva/vers-o-final-task-1", "kernel_id": "16641390"}, {"ref": "statisticsplaybook/1-iris", "kernel_id": "35247793"}, {"ref": "jagdishdapke/iris-dataset", "kernel_id": "70323260"}]}
{"competition_id": "26889", "kernels": []}
{"competition_id": "26890", "kernels": []}
{"competition_id": "26894", "kernels": []}
{"competition_id": "26895", "kernels": []}
{"competition_id": "26904", "kernels": []}
{"competition_id": "26914", "kernels": [{"ref": "adsoofmelk/morph15m-augmentation", "kernel_id": "16254447"}, {"ref": "mrfarbo/segodnya-v-9", "kernel_id": "16396395"}, {"ref": "alexeykozhevnikovmm/face-detection-m-a", "kernel_id": "16240137"}, {"ref": "chernykhaa/face-recognition-team-dga", "kernel_id": "16269009"}, {"ref": "alexag05/faces-three-graces", "kernel_id": "16244369"}, {"ref": "daryafilippova/ida-notebook-pca-svc", "kernel_id": "16380194"}, {"ref": "alexeyshatokhin/face-recognition-reshape-of-you", "kernel_id": "16254385"}, {"ref": "maryamlistopad/og-gucci-face-detection", "kernel_id": "17102751"}, {"ref": "maksimandreev/face-recognition-azs", "kernel_id": "17151923"}, {"ref": "appleaaa/face-recognition", "kernel_id": "60262124"}]}
{"competition_id": "26919", "kernels": []}
{"competition_id": "26923", "kernels": []}
{"competition_id": "26930", "kernels": [{"ref": "funxexcel/sample-submission", "kernel_id": "15923739"}, {"ref": "mpwolke/axigender", "kernel_id": "17950244"}, {"ref": "mpwolke/tensorgender-ann-flow", "kernel_id": "17951178"}, {"ref": "naveenkonam1985/gender-classification", "kernel_id": "25726391"}, {"ref": "ltrahul/gender-classification", "kernel_id": "28434793"}, {"ref": "cbeaud/gender-classification-boosting-solution", "kernel_id": "33703047"}, {"ref": "ammarahabib/gender-classification", "kernel_id": "42188390"}, {"ref": "yunsuxiaozi/competition-review-gender-classification", "kernel_id": "43048172"}, {"ref": "venkatprabup21alr051/gender-boost", "kernel_id": "48677670"}, {"ref": "umaimabashir/male-female-classification", "kernel_id": "59925177"}]}
{"competition_id": "26932", "kernels": [{"ref": "nguynminhphng/mnist-cnn", "kernel_id": "16969064"}, {"ref": "duydung271/convelutionnn", "kernel_id": "16953360"}, {"ref": "duydung271/handwritingrecongize", "kernel_id": "16472059"}]}
{"competition_id": "26933", "kernels": [{"ref": "jeongyoonlee/google-smartphone-decimeter-eda-keras-tpu", "kernel_id": "16939427"}, {"ref": "subbuvolvosekar/simple-exploration-gsdc", "kernel_id": "16945727"}, {"ref": "tomwarrens/gsdc-base-locations-in-the-world", "kernel_id": "16946427"}, {"ref": "jpmiller/baseline-from-host-data", "kernel_id": "16939955"}, {"ref": "manang/google-smartphone-decimeter-challenge-wip", "kernel_id": "16940889"}, {"ref": "ramswaroopbhakar14/baseline-appraoch-linear-regression", "kernel_id": "16990762"}, {"ref": "sohier/loading-gnss-logs", "kernel_id": "16617914"}, {"ref": "emaerthin/demonstration-of-the-kalman-filter", "kernel_id": "16942201"}, {"ref": "mpwolke/wait-for-gps-kaggle", "kernel_id": "16943046"}, {"ref": "sakeshchowdary/exploration-of-data-step-by-step", "kernel_id": "16948551"}, {"ref": "nayuts/let-s-visualize-dataset-to-understand", "kernel_id": "16949883"}, {"ref": "carlmcbrideellis/google-smartphone-decimeter-eda", "kernel_id": "16939494"}, {"ref": "yasserhessein/eda-google-smartphone-decimeter", "kernel_id": "16941064"}, {"ref": "lsingh24/notebook2776fdbea7", "kernel_id": "16939819"}, {"ref": "n3n77i/sp-datafun", "kernel_id": "17845690"}, {"ref": "jmayes/kalman-filter-learn", "kernel_id": "17411357"}, {"ref": "jmayes/gps-iterative-trilateration-intuition-building", "kernel_id": "17846722"}, {"ref": "srini2446/google-decimeter-dnn", "kernel_id": "17960899"}, {"ref": "srini2446/random-forest-regressors-google-decimeter", "kernel_id": "17625060"}, {"ref": "ch00226855/explore-gsdc-data", "kernel_id": "17940821"}, {"ref": "foreveryoung/least-squares-solution-from-gnss-derived-data", "kernel_id": "17233502"}, {"ref": "hyperc/gsdc-reproducing-baseline-wls-on-one-measurement", "kernel_id": "17984764"}, {"ref": "tqa236/kalman-filter-hyperparameter-search-with-bo", "kernel_id": "17038297"}, {"ref": "minomonter/gnss-only-estimation", "kernel_id": "17775994"}, {"ref": "minomonter/cited-from-yangliu-least-squares-solution", "kernel_id": "17388779"}, {"ref": "rtombs/fast-accurate-wgs-ecef-conversions", "kernel_id": "17463826"}, {"ref": "rtombs/gsdc-blend", "kernel_id": "17511820"}, {"ref": "avivlevi815/gsdc-metric-evaluation-function", "kernel_id": "17220845"}, {"ref": "kuto0633/road-detection-and-creating-grid-points", "kernel_id": "17581332"}, {"ref": "suryadeepti/pathlib", "kernel_id": "17288808"}, {"ref": "maeyamada/verification-phonename-difference-eda", "kernel_id": "17247751"}, {"ref": "muskan2006/exploring-the-datasets", "kernel_id": "17545087"}, {"ref": "t88take/gsdc-eda-error-when-stopping", "kernel_id": "17596104"}, {"ref": "t88take/gsdc-phones-mean-prediction", "kernel_id": "17409288"}, {"ref": "cuttingmachine/all-in-one-data", "kernel_id": "17906180"}, {"ref": "columbia2131/device-eda-interpolate-by-removing-device-en-ja", "kernel_id": "17503623"}, {"ref": "wrrosa/gsdc-position-shift", "kernel_id": "17393467"}, {"ref": "tensorchoko/google-multioutputregressor", "kernel_id": "17330147"}, {"ref": "ak0210/demonstration-of-the-kalman-filter", "kernel_id": "17035831"}, {"ref": "ak0210/outliers-keras", "kernel_id": "17342268"}, {"ref": "hamorahadi/notebook15bd24b3a9", "kernel_id": "17060654"}, {"ref": "tyonemoto/data-divided-into-3-areas-downtown-highway-tree", "kernel_id": "17889007"}, {"ref": "gymf123/tips-notes-from-the-competition-hosts", "kernel_id": "17830842"}, {"ref": "dehokanta/baseline-post-processing-by-outlier-correction", "kernel_id": "17285512"}, {"ref": "ravishah1/google-gps-external-data-via-reverse-geocoders", "kernel_id": "17501499"}, {"ref": "museas/estimating-the-direction-with-a-magnetic-sensor", "kernel_id": "17880638"}, {"ref": "cancan077/kc-world-map-google-decimeter", "kernel_id": "17636282"}, {"ref": "sotaroyoshida/make-kml-file-62d1a6", "kernel_id": "17820004"}, {"ref": "hugolaunay/gps-model", "kernel_id": "17246252"}, {"ref": "asobod11138/gsdc-neuralnet-keras", "kernel_id": "17677447"}, {"ref": "asobod11138/loading-train-test-data-help-me", "kernel_id": "17750137"}, {"ref": "n3n77i/sp-quadr", "kernel_id": "18166896"}, {"ref": "n3n77i/satellite-tracking", "kernel_id": "18257108"}, {"ref": "n3n77i/centext", "kernel_id": "18281127"}, {"ref": "n3n77i/fork-of-vestii", "kernel_id": "18586671"}, {"ref": "gopalmahadevan/adaptive-gauss-phone-mean", "kernel_id": "18731127"}, {"ref": "gopalmahadevan/sp-quadr", "kernel_id": "18786831"}, {"ref": "gopalmahadevan/gsdc-smart-ensembling", "kernel_id": "18959178"}, {"ref": "yogeshkulkarni/google-smartphone-decimeter-challenge-by-keras", "kernel_id": "18571965"}, {"ref": "yogeshkulkarni/google-smartphone-decimeter-challenge-by-mean", "kernel_id": "18610152"}, {"ref": "yogeshkulkarni/google-smartphone-decimeter-challenge-by-lightgbm", "kernel_id": "18611798"}, {"ref": "yogeshkulkarni/google-smartphone-decimeter-by-adaptive-gauss", "kernel_id": "18800514"}, {"ref": "hyperc/gsdc-application-of-tip-1-and-5-of-derived-csv", "kernel_id": "18302341"}, {"ref": "alvinai9603/predict-next-point-with-the-imu-data", "kernel_id": "18326467"}, {"ref": "nocturnebflat123/advanced-optimization-3-577", "kernel_id": "18926592"}, {"ref": "batprem/blend", "kernel_id": "18841667"}, {"ref": "batprem/fork-of-fork-of-fork-of-fork-of-gsdc-blend-0a96ee", "kernel_id": "18243619"}, {"ref": "pythonlan/gsdc-smart-ensembling", "kernel_id": "18911659"}, {"ref": "kuto0633/reproducing-baseline-by-estimating-each-isrbm", "kernel_id": "18889014"}, {"ref": "columbia2131/area-knn-prediction-train-hand-label", "kernel_id": "18949921"}, {"ref": "saitodevel01/gsdc-improved-raw-gnss-baseline", "kernel_id": "18927575"}, {"ref": "saitodevel01/gsdc-optimization-based-smoothing-1st-version", "kernel_id": "18897120"}, {"ref": "saitodevel01/gsdc-vehicle-speed-estimation-by-doppler-shift", "kernel_id": "18897853"}, {"ref": "saitodevel01/dsdc-unified-post-processing", "kernel_id": "18977987"}, {"ref": "saitodevel01/gsdc-bias-correction", "kernel_id": "18991258"}, {"ref": "saitodevel01/gsdc-bias-eda", "kernel_id": "18988742"}, {"ref": "manjunathns/google-smartphone-decimeter-challenge-rev-01", "kernel_id": "18373357"}, {"ref": "katomash/a-car-is-moving-or-not-accuracy-94", "kernel_id": "18902154"}, {"ref": "somayyehgholami/gsdc-smart-ensembling", "kernel_id": "18882092"}, {"ref": "avtobusbratiev/additional-gt-data-chipset-location", "kernel_id": "18823885"}, {"ref": "hopingzhang/feature-eng-and-lgb", "kernel_id": "18942898"}, {"ref": "gymf123/onepager-tip-acumulated-delta-range-adr", "kernel_id": "18662312"}, {"ref": "bpetrb/adaptive-gauss-phone-mean", "kernel_id": "18625597"}, {"ref": "rabeyaakter/google-smartphone-decimeter-challenge", "kernel_id": "18125542"}, {"ref": "cembuyukkartal/google-challenge", "kernel_id": "18047241"}, {"ref": "allanzhang1/roaddetectionsubmission", "kernel_id": "18796179"}, {"ref": "allanzhang1/submission-allan", "kernel_id": "18664312"}, {"ref": "swimmy/fork-of-gsdc-smart-ensembling-fe1008", "kernel_id": "19126990"}, {"ref": "minomonter/dynamic-time-warping-snap-to-grid", "kernel_id": "19057852"}, {"ref": "columbia2131/part-of-algorithms-pp-equivalent-to-13th", "kernel_id": "19212790"}, {"ref": "ryotayoshinobu/5th-place-post-processing-for-saito-s-baseline", "kernel_id": "19210419"}, {"ref": "dmitrykalashnikov/correcting-baseline-with-lightgbm", "kernel_id": "19185730"}, {"ref": "liuhaixu/blend-and-mean-ensembling", "kernel_id": "19122362"}, {"ref": "kyochanpy/gsdc-check-degrees-simple-pp", "kernel_id": "19242531"}, {"ref": "dehokanta/shake-tokyo-delta-predicition", "kernel_id": "19301023"}, {"ref": "dehokanta/shake-tokyo-visualization-of-final-submissions", "kernel_id": "19337667"}, {"ref": "ismaelairbus/navcon2021-introduction-to-machine-learning", "kernel_id": "20277502"}, {"ref": "jillanisofttech/google-smartphone-decimeter-challenge-by-jst", "kernel_id": "21557709"}, {"ref": "hosseinzehtab/code-num2", "kernel_id": "23045723"}, {"ref": "hmdrzbt/gsdc-position-shift", "kernel_id": "24218556"}, {"ref": "hosseinzehtab/code1-2", "kernel_id": "24220376"}, {"ref": "hosseinzehtab/code2-7", "kernel_id": "24209279"}, {"ref": "ak0210/make-kml-file-62d1a6", "kernel_id": "25868408"}, {"ref": "andrianinaraharijao/explore-gsdc-data-35220f", "kernel_id": "25411815"}, {"ref": "gokilaharinikrishna/shake-tokyo-visualization-of-final-submissions", "kernel_id": "25862389"}, {"ref": "alexrohl2/data-exploration", "kernel_id": "28498631"}, {"ref": "dahouda/clustering", "kernel_id": "32383966"}, {"ref": "deadheartbeads/google-smartphone-decimeter", "kernel_id": "42942416"}, {"ref": "sriram2511/only-draft-for-google-decimeter", "kernel_id": "43940569"}, {"ref": "dattran2801/tlu-kalman-filter-predict-next-point", "kernel_id": "57574144"}, {"ref": "dascient/visualization-of-ground-truth-of-smartphone-tracks", "kernel_id": "73504034"}, {"ref": "dattran2801/gsdc-phones-mean-prediction", "kernel_id": "118322939"}, {"ref": "phananh715/ts-th1", "kernel_id": "118334872"}, {"ref": "basantmounir/geofusion-dataset", "kernel_id": "123732264"}]}
{"competition_id": "26936", "kernels": []}
{"competition_id": "26937", "kernels": []}
{"competition_id": "26938", "kernels": []}
{"competition_id": "26939", "kernels": [{"ref": "cheech/impact-of-covid-19-on-digital-student-engagement", "kernel_id": "19121460"}, {"ref": "marti164618/eda-viz", "kernel_id": "19500363"}, {"ref": "saurabhbagchi/covid-19-digital-learning-impact", "kernel_id": "19684840"}, {"ref": "shrutisaxena/covid19-digitallearning-eda", "kernel_id": "19081144"}, {"ref": "gopalmahadevan/kaggle-learnplatform-covid19-r", "kernel_id": "19719641"}, {"ref": "deepakrajpurushothaman/state-of-the-art-in-digitalization-of-education", "kernel_id": "19475572"}, {"ref": "praveengovi/covid-19-impact-on-digital-learning-eda-insights", "kernel_id": "19071553"}, {"ref": "guetgs/covid-19-impact-on-digital-learning", "kernel_id": "19209295"}, {"ref": "jinfeijoy/covid-19-learnplatform-exploration", "kernel_id": "19944816"}, {"ref": "cenyen/learnplatform", "kernel_id": "19366400"}, {"ref": "igorde/covid-competition", "kernel_id": "19891000"}, {"ref": "drvinay/vinay-covid-19-impact-on-digital-learning", "kernel_id": "19062667"}, {"ref": "mainakchain/insights-eda-everything-needed-to-get-started", "kernel_id": "19044589"}, {"ref": "christodoulos/data-wrangling-eda-and-future-actions", "kernel_id": "19700849"}, {"ref": "sudj10/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "19865070"}, {"ref": "pramodgn/exploratory-data-analysis-eda", "kernel_id": "19672834"}, {"ref": "jg2017/covid-19-impact-on-digital-learning", "kernel_id": "19204232"}, {"ref": "ustyk5/edtech-vs-covid-19-who-s-stronger", "kernel_id": "19907479"}, {"ref": "demonplus/has-digital-learning-changed-forever", "kernel_id": "19451081"}, {"ref": "fqiang/kaggle-learnplatform-covid19-r", "kernel_id": "19651085"}, {"ref": "revathiprakash/covid19-impact-on-digital-learning-eda-analysis", "kernel_id": "19339148"}, {"ref": "shilpagopal/eda-merged-learnplatformdata", "kernel_id": "19062919"}, {"ref": "hidelloon/learnplatform-digital-learning", "kernel_id": "19064506"}, {"ref": "sofiatkachenko0810/digital-education-back-to-the-future", "kernel_id": "19572908"}, {"ref": "sauravsolanki/beginner-kaggle-colab-and-google-drive", "kernel_id": "19885896"}, {"ref": "michau96/most-popular-tools-in-2020-digital-learning", "kernel_id": "19361200"}, {"ref": "kshiprasehgal/covid-19-impact-on-digital-learning", "kernel_id": "19074760"}, {"ref": "sid9300/usecase-covid-19-impact", "kernel_id": "19870657"}, {"ref": "holoong9291/covid-19", "kernel_id": "19258338"}, {"ref": "jerry1017/covid-19-impact-on-digital-learning-eda-analysis", "kernel_id": "19548998"}, {"ref": "faelk8/covid19-impact-on-digital-learning", "kernel_id": "19553239"}, {"ref": "stpeteishii/covid19-impact-time-course", "kernel_id": "19297229"}, {"ref": "abhash896/impact-of-covid-19-on-digital-learning", "kernel_id": "19630904"}, {"ref": "mohsinisu/impact-of-covid-19-on-digital-learning", "kernel_id": "19042089"}, {"ref": "mpwolke/going-digital-and-engaged", "kernel_id": "19191023"}, {"ref": "mpwolke/children-in-vulnerability-odds-during-pandemic", "kernel_id": "19293313"}, {"ref": "mpwolke/digital-learning-networkx-squarify", "kernel_id": "19366096"}, {"ref": "mpwolke/engagement-dabl", "kernel_id": "19364458"}, {"ref": "mpwolke/engagement-outliers", "kernel_id": "19361270"}, {"ref": "mpwolke/umap-rapids-gpu-is-on", "kernel_id": "19380255"}, {"ref": "mpwolke/engagement-models", "kernel_id": "19384398"}, {"ref": "mpwolke/true-learning-in-pandemics-time", "kernel_id": "19047835"}, {"ref": "mpwolke/nowcasting-attempt", "kernel_id": "19093624"}, {"ref": "mpwolke/edtech-engagement-automljar", "kernel_id": "19125739"}, {"ref": "mpwolke/engagement-pycaret", "kernel_id": "19516399"}, {"ref": "mpwolke/engagement-with-boruta-feature-selection", "kernel_id": "19571160"}, {"ref": "mpwolke/engagement-principal-component-analysis-pca", "kernel_id": "19536581"}, {"ref": "mpwolke/parse-date-sweetviz-plotnine", "kernel_id": "19484680"}, {"ref": "mpwolke/decision-tree-plot", "kernel_id": "19435803"}, {"ref": "mpwolke/digital-learning-cleaned-by-klib-library", "kernel_id": "19441490"}, {"ref": "mpwolke/dataprep-and-bokeh-in-digital-learning", "kernel_id": "19629006"}, {"ref": "udbhavpangotra/how-did-covid-19-impact-digital-learning-eda", "kernel_id": "19101886"}, {"ref": "jang0820/covid19-impact-on-digital-learning-by-jang", "kernel_id": "19162509"}, {"ref": "ruchi798/covid-19-impact-on-digital-learning-eda-w-b", "kernel_id": "19039469"}, {"ref": "ht5brer/covid-19-impact-on-digital-learning-overview-1", "kernel_id": "19928110"}, {"ref": "wasuratme96/covid19-impact-on-online-learning", "kernel_id": "19602950"}, {"ref": "bhujithmadav/learnplatform-impacts-of-covid-19-on-education", "kernel_id": "19914939"}, {"ref": "jl18pg052/starting-analysis-for-learningplatform", "kernel_id": "19078175"}, {"ref": "achintyatripathi/beginners-guide-to-understand-impact-learning", "kernel_id": "19397632"}, {"ref": "saisadhu/notebook6f7d45fe49", "kernel_id": "19667363"}, {"ref": "tmarat/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "19080709"}, {"ref": "andradaolteanu/covid-19-can-we-learn-in-a-pandemic", "kernel_id": "19397147"}, {"ref": "louise2001/learn-platform-starter-notebook", "kernel_id": "19042509"}, {"ref": "samsb94/covid-19-impact-on-digital-learning", "kernel_id": "19086025"}, {"ref": "thesoulreaper/the-impact-of-covid-19-on-digital-learning", "kernel_id": "19840386"}, {"ref": "rashmiranu/covid-19-impact-on-digital-learning", "kernel_id": "19849744"}, {"ref": "mohamed3abdelrazik/impact-of-covid-19-on-online-learning", "kernel_id": "19045207"}, {"ref": "iamleonie/how-to-approach-analytics-challenges", "kernel_id": "19648759"}, {"ref": "iamleonie/maslow-before-bloom", "kernel_id": "19871396"}, {"ref": "lumierebatalong/learnplatform-data-science", "kernel_id": "19628535"}, {"ref": "lumierebatalong/data-analytics-learnplatform", "kernel_id": "19920720"}, {"ref": "qasimhassan/covid-19-impact-on-digital-learning-eda-map", "kernel_id": "19217931"}, {"ref": "syedmubarak/covid-19-impact-on-student-learning-eda", "kernel_id": "19784637"}, {"ref": "rajgandhi/covid-19-impact-on-digital-learning", "kernel_id": "19210827"}, {"ref": "syasyanajihah/digital-platform-connectivity-during-covid-19", "kernel_id": "19745071"}, {"ref": "mithunkumarm/covid19-impact-on-digital-learning-mithun", "kernel_id": "19264903"}, {"ref": "mehedeehassan/finding-top-10-products", "kernel_id": "19475330"}, {"ref": "sk1812/data-analyses-on-student-study", "kernel_id": "19240011"}, {"ref": "kareem3egm/covid-19-impact-on-digital-learning-eda", "kernel_id": "19044575"}, {"ref": "karthikeya14/eda-beginner", "kernel_id": "19055117"}, {"ref": "aymenhanzouli006/data-visualization-forecasting-with-fb-prophet", "kernel_id": "19155853"}, {"ref": "tyagishivani00/visualization-eda", "kernel_id": "19834634"}, {"ref": "sebastianbucheli/basic-visualization", "kernel_id": "19631940"}, {"ref": "yasmineaitouny/lp-covid-19-impact-on-digital-learning-analysis", "kernel_id": "19048291"}, {"ref": "pranjalverma08/exploring-impact-of-covid-19-on-digital-learning", "kernel_id": "19068190"}, {"ref": "barshaagrawal/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "19093379"}, {"ref": "hanwendywenli/impact-of-covid-19-on-digital-learning", "kernel_id": "19974505"}, {"ref": "tawsifhasan/combined-all-data-of-covid-19-impact-on-learning", "kernel_id": "19578707"}, {"ref": "tracyporter/eda-lp-cov19", "kernel_id": "19081617"}, {"ref": "suganyan/analysis-of-covid-impact-day-15", "kernel_id": "19844157"}, {"ref": "jwilliamhughdore/being-black-doesn-t-matter-shap-pred-access", "kernel_id": "19211079"}, {"ref": "sohamgade/covid-19-pandemic-impact-on-learning-report", "kernel_id": "19217187"}, {"ref": "sjoemathew/192it159-day20", "kernel_id": "19975945"}, {"ref": "santhiyar/day-15", "kernel_id": "19845341"}, {"ref": "mansoorabbasi/notebookb5ffd03913", "kernel_id": "19845785"}, {"ref": "milankalkenings/data-fusion-shortcut", "kernel_id": "19042401"}, {"ref": "selvadharani/day-16", "kernel_id": "19845534"}, {"ref": "pasinduranasinghe123/covid-19-impact-on-digital-learning-eda", "kernel_id": "19329285"}, {"ref": "bhaveshkumar2806/covid-19-impact-on-digital-learning-eda", "kernel_id": "19172654"}, {"ref": "oakesong/part-3-individual-state-trend-analysis", "kernel_id": "19673718"}, {"ref": "oakesong/part-1-trend-on-online-engagement", "kernel_id": "19639306"}, {"ref": "oakesong/part-2-removal-of-nan-state-analysis", "kernel_id": "19641518"}, {"ref": "hharishh/covid-19-impact-on-digital-learning-eda", "kernel_id": "19163590"}, {"ref": "amithchennavar/cov19-impact-on-digital-learning", "kernel_id": "19151330"}, {"ref": "kingabzpro/evolution-of-digital-learning-during-covid19", "kernel_id": "19690192"}, {"ref": "mhslearner/impact-of-covid19-on-digital-learning", "kernel_id": "19416655"}, {"ref": "mhslearner/simple-and-fast-eda-with-pandas-profiling", "kernel_id": "19429304"}, {"ref": "jefsoneg/covid-19-impact-on-digital-learning", "kernel_id": "19502614"}, {"ref": "wildbenji/data-quality-extra-data-insights-deep-dive", "kernel_id": "19878098"}, {"ref": "mauromauro/learning-in-cyberspace-a-story-of-pandemic-times", "kernel_id": "19322779"}, {"ref": "arihantjha/covid-19-impact-on-digital-learning", "kernel_id": "19061506"}, {"ref": "mos3santos/covid-19-on-digital-learning", "kernel_id": "19096001"}, {"ref": "evgenyderiglazov/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "19150132"}, {"ref": "ahmedashfaq6777/covid-19-impact-on-digital-learning", "kernel_id": "19154817"}, {"ref": "valivetisriramsai/sriramsai", "kernel_id": "19645771"}, {"ref": "chaitanyakiranch/190030321-covid-impact-on-digital-learning", "kernel_id": "19645897"}, {"ref": "badboyycharan/notebookeb20104134", "kernel_id": "19646553"}, {"ref": "dlaststark/lp-covid-19-impact-on-digital-learning", "kernel_id": "19464059"}, {"ref": "pratyushmohit/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "19213203"}, {"ref": "tejareddyd/impact-of-covid-19-on-digital-learning-by-teja-412", "kernel_id": "19645137"}, {"ref": "palletisravani/190031243-sravani", "kernel_id": "19645676"}, {"ref": "navyajitta/190031888-jitta-lakshmi-navya", "kernel_id": "19646450"}, {"ref": "dmitryuarov/eda-covid-19-impact-on-digital-learning", "kernel_id": "19075960"}, {"ref": "ravishah1/covid-19-s-collision-with-digital-learning", "kernel_id": "19858413"}, {"ref": "shreywadhwa/covid-19-digital-learning-impact", "kernel_id": "19902607"}, {"ref": "ammanabrolulalitha/notebook26623293fd", "kernel_id": "19646075"}, {"ref": "ahmedmohamedmahrous/impact-on-digital-learning-covid-19", "kernel_id": "19051883"}, {"ref": "ankurgupta29/c-19-impact-on-digital-learning", "kernel_id": "19455693"}, {"ref": "orfey7/covid-19-impact-on-digital-learning", "kernel_id": "19046574"}, {"ref": "quanhphan/quan-phan-learnplatform-covid-19-impact", "kernel_id": "19409202"}, {"ref": "heyrobin/covid-impact-on-digital-learning-eda", "kernel_id": "19307546"}, {"ref": "namduong/the-covid19-impact-on-digital-learning", "kernel_id": "19655193"}, {"ref": "rakeshrane/covid-19-impact-on-digitallearning-analysis", "kernel_id": "19067601"}, {"ref": "rawatsagar/covid19-impact-on-digital-learning", "kernel_id": "19941789"}, {"ref": "maxdiazbattan/covid-impact-digital-learning-data-cleaning-eda", "kernel_id": "19155326"}, {"ref": "muhammadimran112233/covid-19-impact-on-digital-learning", "kernel_id": "19042220"}, {"ref": "charliezimmerman/fetch-clrp-data-from-web", "kernel_id": "19885559"}, {"ref": "alexrohl2/covid-impact-on-digital-learning", "kernel_id": "19130026"}, {"ref": "anako2020/zoom-into-products-data", "kernel_id": "19635328"}, {"ref": "anako2020/engagement-trends-in-new-york-city", "kernel_id": "19817716"}, {"ref": "cheikhbaobab/business-intelligence-approach-by-dashboard", "kernel_id": "19920354"}, {"ref": "moovarasim/analysis-of-covid-impact", "kernel_id": "19845388"}, {"ref": "anukuzhali/covid-impact-on-education", "kernel_id": "19144303"}, {"ref": "maxfahrnbauer/learnplatform-covid19", "kernel_id": "19869064"}, {"ref": "shilpabalasubramanya/covid19-impact-digital-learning-with-r", "kernel_id": "19857079"}, {"ref": "peterorazulike/notebookschools", "kernel_id": "19050615"}, {"ref": "cavfiumella/digital-learning", "kernel_id": "19740043"}, {"ref": "boobeshd/notebookb7e00d2b13", "kernel_id": "19989914"}, {"ref": "boobeshd/day-15", "kernel_id": "19848228"}, {"ref": "linamoe/covid-19-impact-on-digital-learning", "kernel_id": "19148147"}, {"ref": "nidadavolusppriyanka/190031190-covid19", "kernel_id": "19645682"}, {"ref": "gopisai4568/190030541-covid19", "kernel_id": "19646192"}, {"ref": "vasishta02/190031703-vasi", "kernel_id": "19646335"}, {"ref": "remi889/notebook56bce1e0d6", "kernel_id": "19646010"}, {"ref": "leventoz/analyze-the-impact-of-covid-19-on-student-learning", "kernel_id": "19051994"}, {"ref": "franciscoborjal/aprendizaje-digital-en-tiempos-de-covid-19", "kernel_id": "19987108"}, {"ref": "vanshikarastogii/impact-of-covid-19-on-digital-learning", "kernel_id": "19143413"}, {"ref": "petraneumann/covid-19-impact-on-digital-learning", "kernel_id": "19071052"}, {"ref": "vaby667/e-d-a-the-impact-of-covid-19-on-digital-learning", "kernel_id": "19076122"}, {"ref": "haushirley/digital-learning-tools-and-student-engagement", "kernel_id": "19552777"}, {"ref": "syerwin/gentle-introduction-to-the-dataset", "kernel_id": "19866714"}, {"ref": "yizhongxu/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "19047790"}, {"ref": "mnhtrncngtun/chatter-bot", "kernel_id": "19090625"}, {"ref": "smohemmedsuhail/most-popular-tools-in-2020-digital-learning", "kernel_id": "19507557"}, {"ref": "sophiamacqueenpooler/the-state-of-education-during-covid-19", "kernel_id": "19813427"}, {"ref": "gowthamramesh7/day-15-two", "kernel_id": "19846969"}, {"ref": "gowthamramesh7/day-20-le", "kernel_id": "19987931"}, {"ref": "dwarakeshk/day20dwarakeshk", "kernel_id": "19988474"}, {"ref": "dwarakeshk/day15dwarakeshk", "kernel_id": "19847933"}, {"ref": "kevinleekrus/covid-19-disaster-impact-on-platform-learning", "kernel_id": "19150159"}, {"ref": "khinethazinmucs/covid-19-impact", "kernel_id": "19074149"}, {"ref": "mihirbulsara/covid-19-impact-on-digital-learning", "kernel_id": "19076831"}, {"ref": "diwagars/notebook3f9cb60d1c", "kernel_id": "19848264"}, {"ref": "sankardhayalanm/day-15-learnplatform", "kernel_id": "19847768"}, {"ref": "sankardhayalanm/day-20-lp", "kernel_id": "19988955"}, {"ref": "dimple0201/covid", "kernel_id": "19648765"}, {"ref": "daivakeshwarpepalla/190031299-learnplatform-covid19-impact-on-digital", "kernel_id": "19901535"}, {"ref": "bhanu190030493/learnplatform-190030493-gedala-bhanu-prakash-dvt", "kernel_id": "19646154"}, {"ref": "divyapallanti/190031239-divya-covid19", "kernel_id": "19646759"}, {"ref": "mathurinache/covid-19-impact-on-digital-learning", "kernel_id": "20231233"}, {"ref": "dwin183287/digital-learning-products-demographic", "kernel_id": "20316183"}, {"ref": "laxmsun/impact-of-covid-19-on-digital-learning", "kernel_id": "20458912"}, {"ref": "dsnil87/analysis-on-safety-junior-grade-ed-teacher-support", "kernel_id": "20864619"}, {"ref": "kattuvan/learn-murali", "kernel_id": "20819529"}, {"ref": "ankittomar1/first-look-digital-learning", "kernel_id": "20241060"}, {"ref": "ssk619/eda-covid-platform", "kernel_id": "20412571"}, {"ref": "gvyshnya/covid19-impact-on-digital-learning-platforms-usage", "kernel_id": "20246391"}, {"ref": "gvyshnya/state-policy-impact-on-digital-learning-platforms", "kernel_id": "20846740"}, {"ref": "pavlem/naep-outcomes-and-learnplatform-data", "kernel_id": "20137613"}, {"ref": "andruschenko/exploring-covid19-online-education-impact", "kernel_id": "20890506"}, {"ref": "stmohd/covid-impact-data-analysis", "kernel_id": "20661292"}, {"ref": "wyucong1990/covid-19-digital-learning", "kernel_id": "20846612"}, {"ref": "sreeedevi/analysis-2-covid-online-learing", "kernel_id": "20398833"}, {"ref": "sreeedevi/just-eda-covid-education", "kernel_id": "20221671"}, {"ref": "nicapotato/covid-digital-learning-data-exploration", "kernel_id": "20806495"}, {"ref": "rosicky1234/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20338223"}, {"ref": "rosicky1234/covid-19-impact-on-digital-learning-habit", "kernel_id": "20494767"}, {"ref": "sadeka007/spillography-when-freemium-gets-premium-v5-1", "kernel_id": "20866920"}, {"ref": "sadeka007/spillography-when-freemium-gets-premium", "kernel_id": "20790464"}, {"ref": "returnofsputnik/learnplatform-coreys-submission-v2", "kernel_id": "20900995"}, {"ref": "billythekid945/minorities-engagement", "kernel_id": "20523968"}, {"ref": "spitfire2nd/the-learning-gap", "kernel_id": "20126818"}, {"ref": "k1pcalm/impact-of-covid-19-on-digital-learning", "kernel_id": "20219774"}, {"ref": "dsurrao/digital-learning-correlations", "kernel_id": "20443237"}, {"ref": "devipramita/nb-covid-19-impact-on-digital-learning", "kernel_id": "20303660"}, {"ref": "dheerajkhosla/covid-19-final-plots", "kernel_id": "20412614"}, {"ref": "filo12guda/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20647414"}, {"ref": "kunduruanil/missing-values", "kernel_id": "20108654"}, {"ref": "sionedp17/online-learning", "kernel_id": "20047540"}, {"ref": "tomaszporzycki/covid19-impact-on-online-learning", "kernel_id": "20445372"}, {"ref": "priteshraj10/covid19-impact", "kernel_id": "20297582"}, {"ref": "kimayasaraf/covid-19-impact-on-digital-learning-eda", "kernel_id": "20155920"}, {"ref": "ayoubberdeddouch/plotly-covid19-impact-on-digit-learn-plats", "kernel_id": "20327628"}, {"ref": "nourjihane/2020-the-year-of-distance-learning", "kernel_id": "20213182"}, {"ref": "rebell90/first-competition-ever", "kernel_id": "20359220"}, {"ref": "rachanabisht/learn-platform-eda", "kernel_id": "20980913"}, {"ref": "kmldas/student-learning-in-covid-19-world", "kernel_id": "20623070"}, {"ref": "hhurchand/covid-19-impact-on-digital-learning", "kernel_id": "20750124"}, {"ref": "onezzy/how-to-approach-analytics-challenges", "kernel_id": "20179105"}, {"ref": "saurav9786/covid-impact-on-digital-learning", "kernel_id": "20206789"}, {"ref": "faamds/basic-analysis-impact-on-digital-learning", "kernel_id": "20009149"}, {"ref": "trasibulo/distance-learning-impact-on-the-us-digital-divide", "kernel_id": "20892475"}, {"ref": "dimitriirfan/covid-impact-on-learning-services", "kernel_id": "20873062"}, {"ref": "bina3csis/learnplatform-covid-19-impact-on-digitalearning", "kernel_id": "20190915"}, {"ref": "anacgarcia/digital-learning-in-the-pandemic-period", "kernel_id": "20654629"}, {"ref": "mikedoi/covid-19-impact-on-digital-learning", "kernel_id": "20770977"}, {"ref": "danieelze/notebookab88584626", "kernel_id": "20175999"}, {"ref": "danieelze/eda-of-covid-19-impact-on-digital-learning", "kernel_id": "20176003"}, {"ref": "khaiyra/covid-19-impact-on-digital-learning", "kernel_id": "20332194"}, {"ref": "abhijitd16/online-learning-during-covid-19", "kernel_id": "20561335"}, {"ref": "kamaljp/learnpf-plotly-eda", "kernel_id": "20345603"}, {"ref": "pavan9065/exploring-the-impact-of-covid-on-digital-learning", "kernel_id": "20546736"}, {"ref": "andreakw/learning-in-the-time-of-covid", "kernel_id": "20872812"}, {"ref": "tramyynt26/digital-learning-during-covid-time-csv", "kernel_id": "20515069"}, {"ref": "nelmogey/covid-19-case-study", "kernel_id": "20205884"}, {"ref": "ahmedsemeda/full-analysis", "kernel_id": "20346895"}, {"ref": "haftomtek23/covid-19-impact-on-digital-learning-eda", "kernel_id": "20189323"}, {"ref": "victorgorshkov/overview-of-the-state-of-education", "kernel_id": "20587212"}, {"ref": "ashimap09/impact-of-covid-19-on-digital-learning", "kernel_id": "20265394"}, {"ref": "sifatnabil/digital-learning", "kernel_id": "20882763"}, {"ref": "farrel0410/analysis-learnplatform-covid-19-impact", "kernel_id": "20874590"}, {"ref": "eandualem/covid-19-impact-on-digital-learning", "kernel_id": "20184041"}, {"ref": "lordofmont/learnplatform-covid-19-impact", "kernel_id": "20225961"}, {"ref": "piuskitheru/covid-19-impact-on-digital-learning", "kernel_id": "20476016"}, {"ref": "anki112279/digital-learning-engagement-trend-during-covid", "kernel_id": "20216516"}, {"ref": "derinrobert/covid-s-impact-on-digital-learning", "kernel_id": "20633702"}, {"ref": "isissantoscosta/reflections-on-covid-vs-learning-beyond", "kernel_id": "20333518"}, {"ref": "moh3azzam/covid-19-impact-on-digital-learning", "kernel_id": "20398303"}, {"ref": "katenjoki/covid-19-impact-on-digital-learning", "kernel_id": "20173301"}, {"ref": "chiragdhankani/covid-19-s-impact-on-digital-learning", "kernel_id": "20867301"}, {"ref": "blaisepapa/covid-19-impact-on-digital-learning-platforms", "kernel_id": "20205510"}, {"ref": "zoubrator/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20911755"}, {"ref": "lazytitan266/digital-learning", "kernel_id": "20011648"}, {"ref": "ayushyadav1996/an-eda-on-digital-learning", "kernel_id": "20888645"}, {"ref": "parasrana/beginner-eda-covid-19-impact-on-dl", "kernel_id": "20201136"}, {"ref": "nelsonotuma/impact-of-covid-19-on-digital-learning", "kernel_id": "20153952"}, {"ref": "christianzanou/fork-of-covid-19-impact-on-digital-learning", "kernel_id": "20313560"}, {"ref": "christianzanou/covid-19-impact-on-digital-learning", "kernel_id": "20204377"}, {"ref": "sanimubarak/eda-for-digital-learning", "kernel_id": "20201814"}, {"ref": "saireddydwarampudi/covid19-analysis", "kernel_id": "20800346"}, {"ref": "eyerusalemgher/covid-19-impact-of-digital-learning", "kernel_id": "20243524"}, {"ref": "rudrakshmakwana/covid-impact", "kernel_id": "20850971"}, {"ref": "kaaymike/learnplatform-covid19-impact-notebook", "kernel_id": "20246449"}, {"ref": "valbauman/disparity-in-engagement-in-digital-learning", "kernel_id": "20224315"}, {"ref": "toushalipal/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20852144"}, {"ref": "takashiyoshida/the-impact-of-covid-to-the-online-school-activity", "kernel_id": "20853649"}, {"ref": "mohahaha/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20340559"}, {"ref": "fearlessmoment/distance-learning-impact-on-the-us-digital-divide", "kernel_id": "20894945"}, {"ref": "bereketkibru/casualanalysis", "kernel_id": "20262235"}, {"ref": "steshykibika/digital-learning", "kernel_id": "20181710"}, {"ref": "nourhansowar/covid-19-impact-on-digital-learning", "kernel_id": "20190152"}, {"ref": "toyinhawauolamide/learnplatform-eda", "kernel_id": "20190266"}, {"ref": "muhammadgusanwaakbar/covid-19-school-closures-and-learning-situation", "kernel_id": "20883805"}, {"ref": "michaeltekle/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20203733"}, {"ref": "ahmedemadeldin/impact-of-covid-19-on-digital-learning", "kernel_id": "20702026"}, {"ref": "titankinansalaatsa/covid-19-impact-on-digital-learning-1301180283", "kernel_id": "20909667"}, {"ref": "tiwaramdhani/learnplatform-covid19-impact-on-digital-learning", "kernel_id": "20873322"}, {"ref": "foxeyjoker/covid-19-impact-on-digital-learning-2020", "kernel_id": "20831934"}, {"ref": "hayangkim/trends-of-online-learning", "kernel_id": "20534375"}, {"ref": "simonityagi/covid-19-impact-on-digital-learning", "kernel_id": "20813289"}, {"ref": "sibitendaharriet/edm-learning-ipynb", "kernel_id": "20190850"}, {"ref": "kanyadharaakash/190030739-covid19", "kernel_id": "20574553"}, {"ref": "zelalemgetahun/eda-of-covid-19-impact-on-digital-learning", "kernel_id": "20191907"}, {"ref": "ast999/covid-19-pandemic", "kernel_id": "20914945"}, {"ref": "ionanicleoid/onlinelearningplatforms2020", "kernel_id": "20895840"}, {"ref": "iandickson/learnplatform-competition", "kernel_id": "20588606"}, {"ref": "vasanthbillov/notebook-covid19-impact-digital-learning", "kernel_id": "20326899"}, {"ref": "sakshatrao/a-day-of-digital-learning-part-1-wake-up", "kernel_id": "20770647"}, {"ref": "sakshatrao/a-day-of-digital-learning-part-2-morning-mania", "kernel_id": "20835707"}, {"ref": "sakshatrao/a-day-of-digital-learning-part-3-sleepy-noons", "kernel_id": "20835735"}, {"ref": "sakshatrao/a-day-of-digital-learning-part-4-finally-done", "kernel_id": "20835759"}, {"ref": "hidayatzeb/impact-of-covid-19-on-digital-learning-platform", "kernel_id": "20733106"}, {"ref": "dorothycheruiyot/learnplatform-covid19-impact-on-digital-learning", "kernel_id": "20180330"}, {"ref": "namithamurugesh/learning-during-pandemic", "kernel_id": "20877760"}, {"ref": "faysalmiah1721758/covid-19-impact-digital-learning", "kernel_id": "20228955"}, {"ref": "muhammadazizpratama/exploring-covid-19-impact-on-digital-platform", "kernel_id": "20852253"}, {"ref": "bharatnatrayn/covid-impact-on-digital-education", "kernel_id": "20316646"}, {"ref": "jithendrakatta/torch-bearers", "kernel_id": "20827750"}, {"ref": "ashishkapasiya/simple-eda-covid-19-impact-on-digital-learning", "kernel_id": "20279925"}, {"ref": "arnabbaul/covid-imapact-on-digital-learning-data-analysis", "kernel_id": "20156375"}, {"ref": "anuaranuar/digital-learning-cleaning", "kernel_id": "20847254"}, {"ref": "anuaranuar/school-closure-and-digital-learning-marker", "kernel_id": "20899347"}, {"ref": "blaiseappolinary/covid-impact-on-digital-learning", "kernel_id": "20516897"}, {"ref": "kartikbandarwad/covid-19-impact-on-digital-learning", "kernel_id": "20253244"}, {"ref": "hakanfe/covid-19-impact-on-digital-learning-eda", "kernel_id": "20829757"}, {"ref": "alagammaivenkat/learning-platform-engagement-index", "kernel_id": "20320069"}, {"ref": "hendakram/impact-of-covid-19-on-student-learning", "kernel_id": "20169212"}, {"ref": "ramjasmaurya/complete-analysis-of-affect-on-digital-marketing", "kernel_id": "20717490"}, {"ref": "wabinab/diglearning-notebook", "kernel_id": "20632700"}, {"ref": "jeffreyjex/covid-19-digital-learning-during-a-pandemic", "kernel_id": "20241114"}, {"ref": "girishkumarsahu/learnplatform-covid-19-impact", "kernel_id": "20344705"}, {"ref": "swaroopmogali/learnplatform-covid-19-impact-submission", "kernel_id": "20779249"}, {"ref": "kumarisirivarshitha/190030030-learnplatform-covid-19-impact-on-digital", "kernel_id": "20897761"}, {"ref": "satishthandra/notebook1acd9e3ddf", "kernel_id": "20902130"}, {"ref": "mgowthamsai/190031092-m-gowtham-sai", "kernel_id": "20574196"}, {"ref": "raghugarikipati/190030483-dvt", "kernel_id": "20574985"}, {"ref": "rohit0481/190030167-covid-impact", "kernel_id": "20250337"}, {"ref": "akshita151101/2-competetion", "kernel_id": "20636389"}, {"ref": "jaiprakash35/190030857", "kernel_id": "20257878"}, {"ref": "krishnapranathi7818/notebook6d6eccfec1", "kernel_id": "20911393"}, {"ref": "nicolassaladini/did-covid-19-reinforced-education-inequalities", "kernel_id": "20609082"}, {"ref": "navyajitta/190031888-covid-19-impact-on-digital-learning", "kernel_id": "20260905"}, {"ref": "tharanivadde/190031668", "kernel_id": "20901270"}, {"ref": "bhuvan18/bhuvan-02", "kernel_id": "20880887"}, {"ref": "boddusairamakrishna/190030176-covid-19-impact", "kernel_id": "20460668"}, {"ref": "shanmukh02/notebook1acd9e3ddf", "kernel_id": "20914848"}, {"ref": "shanmukh02/notebookdc4259d545", "kernel_id": "20915171"}, {"ref": "aryadipramarta/data-exploration-learn-platform-covid19", "kernel_id": "20874008"}, {"ref": "shivi5/slearn", "kernel_id": "20372258"}, {"ref": "jueun1617gmailcom/covid19-impact-on-digital-learning", "kernel_id": "20594558"}, {"ref": "harshithadevineni/impact-of-covid-on-education", "kernel_id": "20758425"}, {"ref": "kalyanchandanala/190030265-covid-19-impact-on-digital-learning", "kernel_id": "20905538"}, {"ref": "venkat1723/learnplatform-covid-19-impact-1723", "kernel_id": "20460576"}, {"ref": "saadsikander/muhammad-saad-competetion-covid-19-impact-on-edu", "kernel_id": "20736700"}, {"ref": "luel123/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20318926"}, {"ref": "karetipujitha/190030746-kaggle1", "kernel_id": "20460195"}, {"ref": "teenaj6788/covid-19-impact-on-digital-learning-eda", "kernel_id": "20608684"}, {"ref": "yosefwalemneh/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20242419"}, {"ref": "parthkumar000/190031265-dvt-kagglelearnplatform", "kernel_id": "20460458"}, {"ref": "elinaayzenberg/digital-learning-in-the-usa-2020", "kernel_id": "20885283"}, {"ref": "charliezimmerman/digital-learning-during-pandemic-contest-winner", "kernel_id": "20895000"}, {"ref": "varshachalageri/team06-5a-socse-kletech-2021", "kernel_id": "20318775"}, {"ref": "manishthotakura/comp-1-190031625", "kernel_id": "20574045"}, {"ref": "wizard2none123/wizard2none-covid-analysis", "kernel_id": "20555175"}, {"ref": "herohoro/plotly-covid-learn-making", "kernel_id": "20644283"}, {"ref": "amansangal/covid19-digitallearning", "kernel_id": "20635669"}, {"ref": "mnfgul/covid-19-and-online-education", "kernel_id": "20840557"}, {"ref": "msalmankhalid/digital-learning-paper", "kernel_id": "20897540"}, {"ref": "k589k589/digit-learning-eda-english", "kernel_id": "20493005"}, {"ref": "mohamedaaboulhassan/impact-of-covid-19-on-digital-learning-aboulhassan", "kernel_id": "20368430"}, {"ref": "kaavyamahajan/some-eda-and-hypotheses-on-digital-learning", "kernel_id": "20520255"}, {"ref": "imda27/trend-of-learning-platforms-during-2020-covid-19", "kernel_id": "20916905"}, {"ref": "bethelhemsisay/eda-covid-19-impact-on-digital-learning", "kernel_id": "20220233"}, {"ref": "candacetaylor/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20507152"}, {"ref": "natsukinateyamashita/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20500492"}, {"ref": "sandeep2812/covid19-impact-in-learning", "kernel_id": "20794076"}, {"ref": "sureshkumarmaurya/learnplatform-covid19-impact-on-digital-l", "kernel_id": "20411935"}, {"ref": "christiandischke/data-cleaning-feature-extraction-merging", "kernel_id": "20804209"}, {"ref": "gayatriparankar/impact-of-covid19-on-digital-learning", "kernel_id": "20815858"}, {"ref": "corneliuskristianto/covid19-impact-on-digital-learning-platforms", "kernel_id": "20861976"}, {"ref": "boobeshd/notebook2af90354db", "kernel_id": "20025148"}, {"ref": "boobeshd/191ct104", "kernel_id": "20181681"}, {"ref": "borispapineauhirwa/learn-impact", "kernel_id": "20258749"}, {"ref": "adriprawira/covid-19-impact-on-online-engagement", "kernel_id": "20591960"}, {"ref": "samemichael/exploratory-analysis-covid-19-impact-on-education", "kernel_id": "20201827"}, {"ref": "natnaelteshome/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20232162"}, {"ref": "abrehamgessesse/covid19-impact-on-digital-learning", "kernel_id": "20221199"}, {"ref": "yosefemiru/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20194758"}, {"ref": "rizkihakim723/learnplatform-covid-19-on-digital-learning", "kernel_id": "20891394"}, {"ref": "pavankarthikchilla/notebooka5d1f5ef9e", "kernel_id": "20915086"}, {"ref": "amonkimutaisfc/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20206333"}, {"ref": "natnaelsisay/learnplatform-analysis", "kernel_id": "20202480"}, {"ref": "drsachingupta/drift-data-2", "kernel_id": "20705630"}, {"ref": "ppatrycja/covid-19-impact-on-digital-learning", "kernel_id": "20242350"}, {"ref": "gong417/covid19-competition", "kernel_id": "20181297"}, {"ref": "lasyaanitha/learnplatform", "kernel_id": "20636622"}, {"ref": "maheshchilamkuri/notebook9ed186c7df", "kernel_id": "20915323"}, {"ref": "ashutoshkumar212/ashutosh-covid19-competetion", "kernel_id": "20892379"}, {"ref": "ethanicaphace/covid19-impact-on-digital-learning", "kernel_id": "20193348"}, {"ref": "nivasbodapati/190030173-covid-impact-on-digital-learning", "kernel_id": "20574094"}, {"ref": "smohemmedsuhail/covid-impact-on-digital-learning", "kernel_id": "20761536"}, {"ref": "germainrukundo/covid-19-impact-on-digital-learning", "kernel_id": "20176256"}, {"ref": "minhyuknam/impacts-of-covid-19-on-digital-learning", "kernel_id": "20578984"}, {"ref": "maelafestiphanos/learnplatform-eda", "kernel_id": "20193089"}, {"ref": "ntabana/notebook", "kernel_id": "20310637"}, {"ref": "gowthamramesh7/day-21", "kernel_id": "20017318"}, {"ref": "gowthamramesh7/day-26", "kernel_id": "20159319"}, {"ref": "dwarakeshk/day-26-dwarakesh-k", "kernel_id": "20161382"}, {"ref": "dwarakeshk/day-21-dwarakesh-k", "kernel_id": "20017914"}, {"ref": "mohamedhassanakl/covid-19-impact-on-digital-learning", "kernel_id": "20719728"}, {"ref": "delendaanouarakacha/learnplatform-covid-19-impact-on-digital-learning", "kernel_id": "20373670"}, {"ref": "turebogale/covid19-impact-on-digital-learning", "kernel_id": "20915935"}, {"ref": "turebogale/impact-of-covid-19-learn-platform", "kernel_id": "20918535"}, {"ref": "diwagars/dayy-26", "kernel_id": "20172040"}, {"ref": "sankardhayalanm/day-26", "kernel_id": "20159684"}, {"ref": "sankardhayalanm/day-21-lp", "kernel_id": "20024989"}, {"ref": "euelfan/eda-learnplatform-covid-19-impact-on-digital-learn", "kernel_id": "20182920"}, {"ref": "kalyan171905/190030916-covid19-effect", "kernel_id": "20736980"}, {"ref": "saisreelasyavanam/190031689-covid", "kernel_id": "20721726"}, {"ref": "seelamphanidheeraj/190031481-covid-19-on-digital-learning", "kernel_id": "20574695"}, {"ref": "afrahshaik190030029/covid-1", "kernel_id": "20460720"}, {"ref": "jessetyao/learnplatform-analytics-virusoven-team", "kernel_id": "20452070"}, {"ref": "jessetyao/learnplatform-analytics-virusoven-team-v76", "kernel_id": "20584181"}, {"ref": "gowthamravi1904/day20", "kernel_id": "20351052"}, {"ref": "gowthamravi1904/day15", "kernel_id": "20350347"}, {"ref": "defangcui/pandemic-digital-learning-and-the-widening-digit", "kernel_id": "20917063"}, {"ref": "divyakembhavimath/team06-5c-socse-kletech-2021", "kernel_id": "20652838"}, {"ref": "divyakembhavimath/team06-5c-socse-kletech-2021-new", "kernel_id": "20911270"}, {"ref": "misbafalak/team1-5b-2021-socse-kletech", "kernel_id": "20744714"}, {"ref": "rohinikk/notebook0c48483af1", "kernel_id": "20475276"}, {"ref": "rohinikk/team01-5e-socse-kletech-2021", "kernel_id": "20814363"}, {"ref": "rohinikk/team01-5e-socse-kletech-2021-final-version", "kernel_id": "20831254"}, {"ref": "ushasavadatti/team06-5c-socse-kletech-2021", "kernel_id": "20888450"}, {"ref": "ushasavadatti/team06-5c-socse-kletech-2021-new", "kernel_id": "20900964"}, {"ref": "smegnshdemelash/eda-covid-19-impact-on-digital-learning", "kernel_id": "20180711"}, {"ref": "smegnshdemelash/eda-modeling-covid-19-impact-on-digital-learning", "kernel_id": "20307636"}, {"ref": "srinivedha/learnplatform-covid19-impact-on-digital-learning", "kernel_id": "20729133"}, {"ref": "fumbanibanda/eda-covid19", "kernel_id": "20204706"}, {"ref": "meenakshi28/notebooka3b5b53474", "kernel_id": "20080163"}, {"ref": "nebiyusamuel/how-to-approach-analytics-challenges", "kernel_id": "20261930"}, {"ref": "nebiyusamuel/eda-covid-19-impact-on-digital-learning", "kernel_id": "20216916"}, {"ref": "nebiyusamuel/covid-19-impact-on-digital-learning", "kernel_id": "20244246"}, {"ref": "annapurneshwarisk/team10-5d-socse-kletech-2021", "kernel_id": "20813071"}, {"ref": "bezawitalemyimer/learnplatform-eda", "kernel_id": "20208988"}, {"ref": "benstrauber/a-tale-of-two-pandemics", "kernel_id": "20848465"}, {"ref": "kagglerrr1/eda-covid-19-impact-on-digital-learning", "kernel_id": "20148394"}, {"ref": "singatharun/covid-19-impact-on-digital-learning-of-usa", "kernel_id": "20161426"}, {"ref": "behigugizachew/eda-covid-19-impact-on-digital-learning", "kernel_id": "20188343"}, {"ref": "mizanabaynew/the-impact-of-covid-19-on-digital-learning", "kernel_id": "20217644"}, {"ref": "rohitramanathan/covid-19-digital-learning-impact", "kernel_id": "20213064"}, {"ref": "shubhamoulkar/covid-19-impact-on-digital-learning", "kernel_id": "20764334"}, {"ref": "katew19/covid-k12-digital-learning-kate-w-submission", "kernel_id": "20588267"}, {"ref": "douglaslessmann/eda-ideias-digital-learning-pandemic-period", "kernel_id": "21541060"}, {"ref": "kamaljp/learnpf-dash-liveexploration", "kernel_id": "21039376"}, {"ref": "foxeyjoker/covid-19-impact-on-digital-learning-2020-fixed", "kernel_id": "21034746"}, {"ref": "kooose/analytic-hierarchy-process-for-each-platform", "kernel_id": "21194132"}, {"ref": "kooose/digital-learning-state-eda-and-predict-engagement", "kernel_id": "21157637"}, {"ref": "sanjeeb1985/covid-19-impact-on-digital-learning-eda-w-b", "kernel_id": "21654686"}, {"ref": "kavyagowdala/exploratory-data-analysis", "kernel_id": "21236440"}, {"ref": "rivekamsms/covid-19-impact-on-digital-platform-2c4db0", "kernel_id": "21639837"}, {"ref": "vanithamm/covid-19-impact-on-digital-platform", "kernel_id": "21607580"}, {"ref": "pradeepd7/covid-19-disaster-impact-on-platform-learning", "kernel_id": "21686722"}, {"ref": "sujanaray/cse3505-fda-project-naviyaa-poonia-19bce1377", "kernel_id": "22723763"}, {"ref": "sujanaray/cse3505-fda-project-sujana-ray-19bce1391", "kernel_id": "22723843"}, {"ref": "naviyaapoonia13/19bce1377-19bce1391-fda-project", "kernel_id": "22725897"}, {"ref": "sofiatkachenko0810/data-analysis", "kernel_id": "26112135"}, {"ref": "sebstutt/covid-19-on-digital-connectivity", "kernel_id": "26695474"}, {"ref": "ds150478/learnplatform-covid-19", "kernel_id": "26518011"}, {"ref": "assurivyshnavi/covid-19-impact-on-digital-learning", "kernel_id": "27072460"}, {"ref": "nabilajahan/digital-learning", "kernel_id": "28088908"}, {"ref": "assurivyshnavi/digital-learning", "kernel_id": "28279671"}, {"ref": "mustafaadelibrahim/covid-19-impact-on-digital-learning", "kernel_id": "29580685"}, {"ref": "bea09tanmaychoudhari/covid-19-impact-digital-learning-eda", "kernel_id": "31336388"}, {"ref": "davidleu/digital-learning-during-covid-pt-2", "kernel_id": "33305883"}, {"ref": "estuardocastrohess/learn-platform-covid19-impact-on-digital-learning", "kernel_id": "42373776"}, {"ref": "monikanoorkarima/digital-learning-impact", "kernel_id": "44022011"}, {"ref": "greeshmadasari/covid-19-digital-learning-random-fst-classifier", "kernel_id": "47473807"}, {"ref": "dixithreddyn/covid-impact-on-digital-learning", "kernel_id": "47752648"}, {"ref": "nafeesulhasan75/covid-19-s-digital-learning-impact", "kernel_id": "48819876"}, {"ref": "guidopauletti/digital-learning-during-covid", "kernel_id": "49157507"}, {"ref": "basmashaban/most-popular-tools-in-2020-digital-learning", "kernel_id": "52152951"}, {"ref": "aubreyabjelina/digital-learning-in-2020", "kernel_id": "54076892"}, {"ref": "mos3santos/fork-of-covid-19-on-digital-learning", "kernel_id": "64469668"}, {"ref": "shirleyhau/digital-learning-tools-and-students-engagement", "kernel_id": "65683217"}, {"ref": "akashdasp/analytic-hierarchy-process-for-each-platform", "kernel_id": "74136136"}, {"ref": "aryansingh2000/covid-19-impact-on-learning", "kernel_id": "86685890"}]}
{"competition_id": "26940", "kernels": []}
{"competition_id": "26941", "kernels": [{"ref": "bangdoon/baseline", "kernel_id": "32593839"}]}
{"competition_id": "26943", "kernels": []}
{"competition_id": "26945", "kernels": [{"ref": "syegor/baseline-nta", "kernel_id": "15999552"}]}
{"competition_id": "26959", "kernels": [{"ref": "uozcan12/serpro-zoo-001-2021-v1", "kernel_id": "15980414"}]}
{"competition_id": "26967", "kernels": []}
{"competition_id": "26976", "kernels": [{"ref": "salmayassin/sentiment-analysis-using-na-ve-bayes-classifier", "kernel_id": "55229333"}, {"ref": "m1nhaj/tweet-sentiment-analysis", "kernel_id": "60399504"}]}
{"competition_id": "26977", "kernels": [{"ref": "gurjotsinghsabudh/notebook53ba0fee0d", "kernel_id": "16061769"}]}
{"competition_id": "26981", "kernels": []}
{"competition_id": "26983", "kernels": []}
{"competition_id": "26984", "kernels": []}
{"competition_id": "26987", "kernels": []}
{"competition_id": "26991", "kernels": []}
{"competition_id": "27000", "kernels": [{"ref": "rajsingh202/notebookf17d5b9d5e", "kernel_id": "16230228"}]}
{"competition_id": "27007", "kernels": [{"ref": "daechanhan/2021-ml-tp5-skeleton-code", "kernel_id": "16198939"}]}
{"competition_id": "27011", "kernels": [{"ref": "xown3197/termproject-2-skeletone-code", "kernel_id": "16189160"}]}
{"competition_id": "27014", "kernels": []}
{"competition_id": "27015", "kernels": [{"ref": "hari431996/team-7-final-airline", "kernel_id": "16539468"}, {"ref": "albaalba/aml-challenge1-team6", "kernel_id": "16196519"}, {"ref": "valentinifrim/42-aml-challenge-1-code", "kernel_id": "16479149"}, {"ref": "servax314/group3-chall1", "kernel_id": "16350205"}, {"ref": "maellenicolas/aml-challenge-1-team9-final-version", "kernel_id": "16537381"}, {"ref": "yaselley/challenge1-team17-occam-s-razor-principe", "kernel_id": "16480104"}, {"ref": "stefanosdimos/aml-challenge-1-group-8", "kernel_id": "16270838"}, {"ref": "serra408/group-19-challenge-1-kernel", "kernel_id": "16537643"}, {"ref": "bahientran/aml-challenge-1-baseline", "kernel_id": "16062607"}, {"ref": "cartesis07/challenge-1-group-45-dnn-model", "kernel_id": "16178077"}, {"ref": "maximemichel/challenge1-aml", "kernel_id": "16199846"}, {"ref": "fatemehchangizian/aml-challenge-1-visualization", "kernel_id": "16371839"}, {"ref": "pierrepiovesan/team-23-v2-0", "kernel_id": "16444140"}, {"ref": "bernatgeneskrabec/group8-final-score", "kernel_id": "16496169"}, {"ref": "miradorabenasolo/delay-group27-merge", "kernel_id": "16538456"}, {"ref": "elisaguillouard/aml-challenge-1-team9-final-version", "kernel_id": "16498194"}, {"ref": "charlottekennedy/challenge1-group10-final", "kernel_id": "16499639"}, {"ref": "rostomzitoun/group20-predicting-delays", "kernel_id": "16480543"}, {"ref": "anaselaissaoui/challenge1-groupe25", "kernel_id": "16554801"}]}
{"competition_id": "27028", "kernels": [{"ref": "adnankust/adnaneeg3", "kernel_id": "74738641"}]}
{"competition_id": "27032", "kernels": []}
{"competition_id": "27033", "kernels": []}
{"competition_id": "27035", "kernels": []}
{"competition_id": "27036", "kernels": []}
{"competition_id": "27037", "kernels": []}
{"competition_id": "27038", "kernels": [{"ref": "kovalexis/voting-regressor-example", "kernel_id": "16130145"}]}
{"competition_id": "27039", "kernels": []}
{"competition_id": "27040", "kernels": []}
{"competition_id": "27041", "kernels": []}
{"competition_id": "27046", "kernels": []}
{"competition_id": "27051", "kernels": []}
{"competition_id": "27057", "kernels": []}
{"competition_id": "27058", "kernels": []}
{"competition_id": "27066", "kernels": [{"ref": "lashamaev/baseline-affixes", "kernel_id": "16104628"}, {"ref": "lashamaev/baseline-vectorize", "kernel_id": "16087756"}, {"ref": "lashamaev/baseline-pick-up-the-most-popular", "kernel_id": "16075035"}, {"ref": "swofde/baseline-affixes-crawler-fasttext", "kernel_id": "16106405"}, {"ref": "spocold/aital-lemmatizer", "kernel_id": "16130663"}, {"ref": "shamaevmivt20/07-april-lemmatizer", "kernel_id": "16299331"}, {"ref": "pavlovaivt20/baseline-affixes", "kernel_id": "16499411"}, {"ref": "petrovegor/baseline-vectorize", "kernel_id": "16152516"}]}
{"competition_id": "27074", "kernels": [{"ref": "saldern/solution-example", "kernel_id": "16061800"}]}
{"competition_id": "27075", "kernels": [{"ref": "pepsiman/hw06-texts-ipynb", "kernel_id": "16501588"}, {"ref": "igorlukhnev/notebooke0bf68bfb4", "kernel_id": "16273471"}, {"ref": "maximkazantsev/avito-category-prediction-4th-place-solution", "kernel_id": "16928274"}, {"ref": "danilshishkin/final", "kernel_id": "16833072"}]}
{"competition_id": "27079", "kernels": []}
{"competition_id": "27086", "kernels": []}
{"competition_id": "27087", "kernels": []}
{"competition_id": "27091", "kernels": []}
{"competition_id": "27097", "kernels": []}
{"competition_id": "27099", "kernels": []}
{"competition_id": "27114", "kernels": []}
{"competition_id": "27124", "kernels": [{"ref": "muhammad4hmed/simple-baseline-notebook", "kernel_id": "16093619"}, {"ref": "k172388tariqhussain/simple-baseline-notebook", "kernel_id": "16162776"}]}
{"competition_id": "27126", "kernels": []}
{"competition_id": "27128", "kernels": []}
{"competition_id": "27132", "kernels": []}
{"competition_id": "27133", "kernels": []}
{"competition_id": "27138", "kernels": [{"ref": "cchetta/group-42-challenge-2a", "kernel_id": "16556107"}, {"ref": "pascallucas/ta-solution", "kernel_id": "16264451"}, {"ref": "valentinifrim/group-42-challenge-2b", "kernel_id": "16947060"}, {"ref": "alexiscouderc/code-team-9", "kernel_id": "16972976"}, {"ref": "pmichel610/group3", "kernel_id": "16803910"}, {"ref": "lamiasalhi/group-17-vgg-and-alexnet", "kernel_id": "16784860"}, {"ref": "maximemichel/challenge2-group50", "kernel_id": "16690085"}, {"ref": "fatemehchangizian/team13-challenge2-final", "kernel_id": "16971479"}, {"ref": "pierrepiovesan/team-23-challenge-2", "kernel_id": "16548730"}, {"ref": "bernatgeneskrabec/group8-solution", "kernel_id": "16716301"}, {"ref": "anaselaissaoui/challenge2-group25", "kernel_id": "16821676"}, {"ref": "vim951/team-45", "kernel_id": "17149572"}, {"ref": "mpanar/group6-final", "kernel_id": "17145516"}, {"ref": "serra408/group19-complete-kernel", "kernel_id": "17009761"}, {"ref": "alexiscouderc/team9", "kernel_id": "17130588"}, {"ref": "alexiscouderc/challenge-2-team-9", "kernel_id": "17133878"}, {"ref": "iversencpatrick/team27-challenge2", "kernel_id": "17169377"}, {"ref": "sourishxghosh/version-finale-team-7", "kernel_id": "17141256"}, {"ref": "pierrerakotondrafara/team33", "kernel_id": "17167384"}, {"ref": "charlottekennedy/challenge2-final-team10", "kernel_id": "17037667"}, {"ref": "rostomzitoun/group-20-33070", "kernel_id": "17042706"}, {"ref": "adiv413/notebookeab29b69da", "kernel_id": "28218480"}, {"ref": "arnavjain1/crop-data", "kernel_id": "28221372"}]}
{"competition_id": "27140", "kernels": [{"ref": "suadiawu/vessel-segmentation", "kernel_id": "111048150"}]}
{"competition_id": "27141", "kernels": []}
{"competition_id": "27149", "kernels": []}
{"competition_id": "27150", "kernels": [{"ref": "kuantinglai/train-htag2vec", "kernel_id": "16124401"}, {"ref": "kuantinglai/train-devise-w-htag2vec-uta", "kernel_id": "16126383"}]}
{"competition_id": "27151", "kernels": []}
{"competition_id": "27154", "kernels": []}
{"competition_id": "27169", "kernels": []}
{"competition_id": "27175", "kernels": []}
{"competition_id": "27177", "kernels": [{"ref": "plarmuseau/baby-h2o-automl", "kernel_id": "16848238"}]}
{"competition_id": "27180", "kernels": []}
{"competition_id": "27187", "kernels": []}
{"competition_id": "27189", "kernels": [{"ref": "pchwistek/iml-hackathon-sample", "kernel_id": "16311008"}]}
{"competition_id": "27198", "kernels": []}
{"competition_id": "27201", "kernels": []}
{"competition_id": "27209", "kernels": []}
{"competition_id": "27215", "kernels": []}
{"competition_id": "27219", "kernels": []}
{"competition_id": "27227", "kernels": [{"ref": "okblur/notebook-1-fake-news-model", "kernel_id": "127459365"}]}
{"competition_id": "27231", "kernels": []}
{"competition_id": "27233", "kernels": [{"ref": "vijayakishoredusi/my-first-submissions", "kernel_id": "10812442"}, {"ref": "pavfedotov/time-series-analysis-nifty50-stationarity-adf", "kernel_id": "15961977"}, {"ref": "jiashenliu/introduction-to-financial-concepts-and-data", "kernel_id": "17588236"}, {"ref": "sohier/working-with-parquet", "kernel_id": "17595344"}, {"ref": "rhythmcam/very-simple-join-how-to-merge-dataframe", "kernel_id": "17937180"}, {"ref": "pyrole/optiver-stock-correlations-analysis", "kernel_id": "18642792"}, {"ref": "konradb/we-need-to-go-deeper-and-validate", "kernel_id": "18162893"}, {"ref": "chaseos/parquet-patterns-for-loading-data", "kernel_id": "18173548"}, {"ref": "alexryzhkov/eda-fe-and-model-creation-lightautoml-starter", "kernel_id": "18830238"}, {"ref": "jarfo1/volatility-correlation-among-stocks", "kernel_id": "18375320"}, {"ref": "mmoreaux/data-glimpse", "kernel_id": "18510874"}, {"ref": "pehahn/get-r-feeling", "kernel_id": "18249898"}, {"ref": "pehahn/optiver-tidy-base", "kernel_id": "18336077"}, {"ref": "pehahn/introduction-to-financial-concepts-in-r", "kernel_id": "18228684"}, {"ref": "pehahn/test-arrow-lib", "kernel_id": "18208036"}, {"ref": "pehahn/lightgbm-r", "kernel_id": "18560577"}, {"ref": "pehahn/lm-poly", "kernel_id": "18451994"}, {"ref": "thanish/data-aggregated", "kernel_id": "18206976"}, {"ref": "thanish/randomforest-starter-submission", "kernel_id": "18170686"}, {"ref": "gopalmahadevan/optiver-realized-volatility-prediction-safarii", "kernel_id": "18647709"}, {"ref": "gopalmahadevan/introduction-to-financial-concepts-and-data", "kernel_id": "18589359"}, {"ref": "gopalmahadevan/optiverrealizedvolatility-v2-0-0", "kernel_id": "18749627"}, {"ref": "gopalmahadevan/hamiltonian-equation-as-marketplace-energy", "kernel_id": "18808421"}, {"ref": "something4kag/example-r-pkg-without-internet-nns-for-optiver", "kernel_id": "18549917"}, {"ref": "brandao/when-the-old-school-gets-a-good-score-in-r", "kernel_id": "18772833"}, {"ref": "aerdem4/accelerating-trading-on-gpu-via-rapids-wip", "kernel_id": "18200158"}, {"ref": "aerdem4/optiver-lofo-feature-importance", "kernel_id": "18154895"}, {"ref": "aerdem4/accelerating-trading-on-gpu-via-rapids", "kernel_id": "18398425"}, {"ref": "aerdem4/optiver-rapids-svr-wip", "kernel_id": "18404633"}, {"ref": "manels/lgb-starter", "kernel_id": "18381343"}, {"ref": "teka1216/baseline-for-volatility-prediction-in-r", "kernel_id": "18590959"}, {"ref": "code1110/optiver-lgb-and-te-baseline-inference", "kernel_id": "18784971"}, {"ref": "code1110/optiver-lgb-and-te-baseline", "kernel_id": "18782513"}, {"ref": "johnakwei/realized-volatility-neural-networks-in-r", "kernel_id": "18763648"}, {"ref": "johnakwei/realized-volatility-ln-rf-knn-garch-in-r", "kernel_id": "18425368"}, {"ref": "johnakwei/realized-volatility-linear-regression-in-r", "kernel_id": "18557631"}, {"ref": "johnakwei/realized-volatility-random-forest-in-r", "kernel_id": "18561089"}, {"ref": "laurencelin/volatiltiy-prediction2", "kernel_id": "18815215"}, {"ref": "laurencelin/volatility-prediction-deprecated", "kernel_id": "18762197"}, {"ref": "shivarama/optiver-realized-volatility-starter-kit-101", "kernel_id": "18329727"}, {"ref": "gpreda/optiver-volatility-quick-look-to-the-data", "kernel_id": "18199879"}, {"ref": "iiillliii/how-can-i-get-lagged-features", "kernel_id": "18339481"}, {"ref": "houndcl/time-id-in-hidden-test-set-doesn-t-start-from-0", "kernel_id": "18413312"}, {"ref": "johnoliverjones/hamiltonian-equation-using-marketplace-energy", "kernel_id": "18486012"}, {"ref": "benjamingowan/nice-r-arrow-features-funny", "kernel_id": "18476858"}, {"ref": "narendra/optiver-order-book-eda", "kernel_id": "18964931"}, {"ref": "yaroshenko/optiver-realized-volatility-prediction", "kernel_id": "18349059"}, {"ref": "msafi04/optiver-realised-volatility-visualization", "kernel_id": "18184990"}, {"ref": "atamazian/optiver-tabnet-inference", "kernel_id": "18233478"}, {"ref": "atamazian/optiver-tabnet-training", "kernel_id": "18230724"}, {"ref": "marcobeyer/lstm-starter", "kernel_id": "18374886"}, {"ref": "denisvodchyts/lgbm-slightly-different-features", "kernel_id": "18928102"}, {"ref": "andrewkkchoi/wap-lr-visual-analysis-most-least-volatility", "kernel_id": "18416172"}, {"ref": "andrewkkchoi/volatality-neural-network-baseline", "kernel_id": "18470598"}, {"ref": "ragnar123/optiver-realized-volatility-lgbm-baseline", "kernel_id": "18786907"}, {"ref": "paklong/proof-more-offers-lead-to-lower-stock-valuation", "kernel_id": "18158774"}, {"ref": "anishjosh/introduction-to-financial-concepts-and-data", "kernel_id": "18182703"}, {"ref": "kurianbenoy/optiver-realized-volatility-prediction-quick-eda", "kernel_id": "18153053"}, {"ref": "docxian/optiver-realized-volatility-first-glance", "kernel_id": "18153972"}, {"ref": "semaule/eda-visualising-trading-data-optiver", "kernel_id": "18356148"}, {"ref": "semaule/code-optimisation-numpy-vs-pandas-10x-speedup", "kernel_id": "18723385"}, {"ref": "tommy1028/lightgbm-starter-with-feature-engineering-idea", "kernel_id": "18503310"}, {"ref": "abhishek1aa/feature-engineering-xgboost-lgbm-baseline", "kernel_id": "18240455"}, {"ref": "chiranjeevbit/optiver-realized-volatility-prediction-and-eda", "kernel_id": "18273019"}, {"ref": "npismenniy/wrong-trade-data-discovery", "kernel_id": "18835074"}, {"ref": "kittlein/volatility-1d-cnn-in-r-keras", "kernel_id": "18163504"}, {"ref": "kittlein/volatility-custom-cnn-on-the-fly", "kernel_id": "18811418"}, {"ref": "kittlein/worth-rescuing", "kernel_id": "18882603"}, {"ref": "slawekbiel/naive-but-fast-submission", "kernel_id": "18273513"}, {"ref": "slawekbiel/deep-learning-approach-with-a-cnn-inference", "kernel_id": "18575044"}, {"ref": "ishwor2048/optiver-realized-volatility-explore-prediction", "kernel_id": "18152140"}, {"ref": "ozmanakram/volatility-clustering-for-garch", "kernel_id": "18488488"}, {"ref": "ozmanakram/we-need-to-go-deeper", "kernel_id": "18386191"}, {"ref": "sakshi1303/optiver-simple-ml-model-3608cb", "kernel_id": "18658858"}, {"ref": "eneszvo/eda-features-engineering-5-fold-cv-xgb-shap", "kernel_id": "18245968"}, {"ref": "eneszvo/advance-time-series-features-tsfresh", "kernel_id": "18482871"}, {"ref": "kool777/realized-volatility-prediction-detailed-eda", "kernel_id": "18228147"}, {"ref": "hiromasatabuchi/baseline-simple-flow-with-lightgbm", "kernel_id": "18942194"}, {"ref": "jaredsavage/optiver-analysis-with-r", "kernel_id": "18152801"}, {"ref": "fortis3000/insane-feature-engineering", "kernel_id": "18825002"}, {"ref": "medali1992/optiver-feature-engineering-rapids-joblib", "kernel_id": "18340357"}, {"ref": "medali1992/optiver-train-dataset", "kernel_id": "18642051"}, {"ref": "elcaiseri/pytorch-optiver-realized-volatility-baseline", "kernel_id": "18871346"}, {"ref": "michaelgehrig/number-of-observations-per-bucket", "kernel_id": "18351287"}, {"ref": "tpmeli/insights-correlation-analysis-of-192-features", "kernel_id": "18149389"}, {"ref": "faelk8/optiver-realized-volatility-eda", "kernel_id": "18204270"}, {"ref": "faelk8/optiver-overly-prediction", "kernel_id": "18369715"}, {"ref": "jarupula/eda-optiver", "kernel_id": "18179269"}, {"ref": "gunesevitan/optiver-realized-volatility-prediction-eda", "kernel_id": "18441394"}, {"ref": "gunesevitan/optiver-realized-volatility-prediction-1d-cnn", "kernel_id": "18589542"}, {"ref": "gunesevitan/optiver-realized-volatility-prediction-inference", "kernel_id": "18147288"}, {"ref": "ninhson/manytoone-gru", "kernel_id": "18631907"}, {"ref": "sambhavsg/data-research-inference-optiver", "kernel_id": "18664272"}, {"ref": "pablorosa01/first-results-optiver-realized-volatility-predic", "kernel_id": "18250581"}, {"ref": "ksmcg90/optiver-basic-eda-w-stock-correlation", "kernel_id": "18145532"}, {"ref": "tangtunyu/lgbm-infer", "kernel_id": "18889078"}, {"ref": "mpwolke/qlattice-in-optiver-market-volatility", "kernel_id": "18162776"}, {"ref": "pratibha9/a-quick-model", "kernel_id": "18228226"}, {"ref": "gogo827jz/inference-demo-notebook", "kernel_id": "18169515"}, {"ref": "gogo827jz/automl-optiver-autogluon-notebook", "kernel_id": "18382632"}, {"ref": "lighttag/merging-trades-and-book", "kernel_id": "18952588"}, {"ref": "dnging/linear-regression", "kernel_id": "18396836"}, {"ref": "noisefallacy/notebook9ce6a5bcd2", "kernel_id": "18740569"}, {"ref": "piantic/starter-optiver-basic-eda-wip", "kernel_id": "18159871"}, {"ref": "mayunnan/realized-volatility-prediction-code-template", "kernel_id": "18179601"}, {"ref": "caesarlupum/xgb-purged-group-ts-validation", "kernel_id": "18493237"}, {"ref": "louise2001/rapids-stable-starter-notebook", "kernel_id": "18205031"}, {"ref": "kiitosu/introduction-to-financial-concepts-and-data", "kernel_id": "18942439"}, {"ref": "danwatson16/weighted-xgboost-with-stock-grouping-eda", "kernel_id": "18357188"}, {"ref": "xuxxuxuuxuxu/features-transform", "kernel_id": "18542146"}, {"ref": "duckmoll/k-fold-linear-baseline", "kernel_id": "18552884"}, {"ref": "duckmoll/notebook2fc210ffb4", "kernel_id": "18528847"}, {"ref": "duckmoll/advanced-fe-linear-regression", "kernel_id": "18982521"}, {"ref": "foadgreen/egg-croissant", "kernel_id": "18457145"}, {"ref": "chumajin/optiver-realized-eda-for-starter-version", "kernel_id": "18145811"}, {"ref": "chumajin/optiver-realized-eda-for-starter-english-version", "kernel_id": "18187279"}, {"ref": "lucasmorin/optiver-realized-volatility-introduction", "kernel_id": "18230931"}, {"ref": "lucasmorin/realised-vol-weighted-regression-baseline", "kernel_id": "18254383"}, {"ref": "lucasmorin/lgbm-adversarial-testing", "kernel_id": "18382046"}, {"ref": "lucasmorin/tf-keras-nn-with-stock-embedding", "kernel_id": "18470995"}, {"ref": "taherhaggui/lgbm-with-efficient-features-engineering", "kernel_id": "18407609"}, {"ref": "taherhaggui/pytorch-model", "kernel_id": "18696355"}, {"ref": "tensorchoko/optiver-realized-eda", "kernel_id": "18222962"}, {"ref": "tensorchoko/optiver-realized-lightgbm-test", "kernel_id": "18419384"}, {"ref": "calibrator/a-minimal-benchmark", "kernel_id": "18714832"}, {"ref": "calibrator/rmspe-manipulation-for-debugging", "kernel_id": "18791302"}, {"ref": "calibrator/investigating-outliers", "kernel_id": "18436605"}, {"ref": "calibrator/missing-trade-data-for-some-row-id", "kernel_id": "18317865"}, {"ref": "junichiromorita/introduction-to-financial-concepts-and-data", "kernel_id": "18315465"}, {"ref": "mrutyunjaybiswal/optiver-realized-eda-xgb-baseline-train", "kernel_id": "18154124"}, {"ref": "pchandrashekhar/chandu", "kernel_id": "18491269"}, {"ref": "shamiulislamshifat/optiver-realized-volatility-prediction-gold", "kernel_id": "18336732"}, {"ref": "rajgandhi/optiver-volatility-prediction-lgbm", "kernel_id": "18369500"}, {"ref": "hectorbarrio/volatility-prediction-prepare-data", "kernel_id": "18244853"}, {"ref": "mountainking/lightgbm-starter-with-feature-engineering-idea", "kernel_id": "18553131"}, {"ref": "caesarmtuguinay/optiver-competition-first-approach", "kernel_id": "18492675"}, {"ref": "damoonshahhosseini/ensemble-models", "kernel_id": "18364276"}, {"ref": "damoonshahhosseini/volatility-prediction", "kernel_id": "18279239"}, {"ref": "sohommajumder21/optiver-competition-eda-predictions", "kernel_id": "18189105"}, {"ref": "thecurvefitter/tugofwar-buyer-seller", "kernel_id": "18409054"}, {"ref": "ishandutta/v-2-indepth-book-eda-and-understanding", "kernel_id": "18185694"}, {"ref": "khosiyatsabirova/20-3version", "kernel_id": "18850071"}, {"ref": "khosiyatsabirova/introduction-to-financial-concepts-and-data", "kernel_id": "18842984"}, {"ref": "bextuychiev/advanced-time-series-analysis-decomposition", "kernel_id": "18552057"}, {"ref": "bextuychiev/how-to-detect-white-noise-and-random-walks-in-ts", "kernel_id": "18616439"}, {"ref": "ajaypalsinghlo/optiver-realized-volatility-prediction", "kernel_id": "18787319"}, {"ref": "christophercoffee/technical-factor-analysis", "kernel_id": "18250492"}, {"ref": "shubhampandey253/the-notebook-you-need-understanding-orvp", "kernel_id": "18356365"}, {"ref": "matsuosan/optiver-eda-xgboost-starter-japanese", "kernel_id": "18755140"}, {"ref": "devanshchowdhury/first-revised-linear-regression", "kernel_id": "18595206"}, {"ref": "devanshchowdhury/second-revised-lightgbm-xgboost-linear-regression", "kernel_id": "18611831"}, {"ref": "devanshchowdhury/first-revised", "kernel_id": "18510748"}, {"ref": "devanshchowdhury/basic", "kernel_id": "18501183"}, {"ref": "chungchichang/kernel-ridge-regression-edited-based-on-weighted", "kernel_id": "18534435"}, {"ref": "arenagrenade/nn-model-submission", "kernel_id": "18764139"}, {"ref": "arenagrenade/optimization-36x-data-pre-processing-with-numba", "kernel_id": "18753604"}, {"ref": "arenagrenade/fork-of-nn-model-submission", "kernel_id": "18817300"}, {"ref": "munumbutt/wip-eda-on-the-orderbook", "kernel_id": "18148740"}, {"ref": "munumbutt/naive-optuna-tuned-stacked-ensemble", "kernel_id": "18229397"}, {"ref": "munumbutt/feature-engineering-tuned-xgboost-lgbm", "kernel_id": "18252618"}, {"ref": "munumbutt/optuna-tuned-tf-neural-network", "kernel_id": "18351733"}, {"ref": "krishnamore/optiver-realized-volatilityz-prediction", "kernel_id": "18342169"}, {"ref": "teralasowmya/optiver-data-prediction", "kernel_id": "18498991"}, {"ref": "teralasowmya/basic-model-on-optiver-competition", "kernel_id": "18500360"}, {"ref": "teralasowmya/soumya-optiver", "kernel_id": "18872530"}, {"ref": "teralasowmya/group-ts-validation", "kernel_id": "18713225"}, {"ref": "bhaveshkumar2806/volatility-prediction-eda-linear-regression", "kernel_id": "18444321"}, {"ref": "erizosanta/optiver", "kernel_id": "18326337"}, {"ref": "erizosanta/introduction-to-financial-concepts-and-data", "kernel_id": "18325447"}, {"ref": "erenovics/lgb-starter", "kernel_id": "18923585"}, {"ref": "soophiezhu/eda-68", "kernel_id": "18863574"}, {"ref": "mhslearner/starter-basic-analysis-with-basic-model", "kernel_id": "18248524"}, {"ref": "haiyunhu/lgb-starter-4", "kernel_id": "18444965"}, {"ref": "haiyunhu/introduction-to-financial-concepts-and-data-hu", "kernel_id": "18159368"}, {"ref": "haiyunhu/realized-volatility-prediction-xgbregressor", "kernel_id": "18226995"}, {"ref": "haiyunhu/we-need-to-go-deeper-8f730e", "kernel_id": "18237549"}, {"ref": "haiyunhu/optiver-realized-volatility-polynomial-regression", "kernel_id": "18258542"}, {"ref": "ammarnassanalhajali/optiver-volatility-prediction-eda", "kernel_id": "18285050"}, {"ref": "yus002/starter-get-book-trade-data-mljar-automl-eda", "kernel_id": "18251189"}, {"ref": "yus002/realized-volatility-prediction-lgbm-train", "kernel_id": "18233971"}, {"ref": "yus002/realized-volatility-prediction-lgbm-infer", "kernel_id": "18234032"}, {"ref": "hyewon328/understand-and-visualize-volatility-data", "kernel_id": "18421808"}, {"ref": "hyewon328/lgbm-starter-optimization", "kernel_id": "18525619"}, {"ref": "h053473666/use-tensorflow-tpu-to-decode-npy-files", "kernel_id": "18349372"}, {"ref": "alessiopeluso/volatility-baseline", "kernel_id": "18471127"}, {"ref": "kentaroaoyama/notebook481d35b081", "kernel_id": "18434599"}, {"ref": "kartik2khandelwal/optiverrealizedvolatility-v2-0-0", "kernel_id": "18673948"}, {"ref": "dlaststark/orvp-pulp-fiction", "kernel_id": "18221533"}, {"ref": "pablomgomez21/working-with-parquet", "kernel_id": "18231682"}, {"ref": "alexyuehuang/lgb-starter", "kernel_id": "18539120"}, {"ref": "pkang0831/multiple-model-tryouts", "kernel_id": "18774521"}, {"ref": "rabeyaakter/optiver-realized-volatility-prediction-safarii", "kernel_id": "18635434"}, {"ref": "rabeyaakter/optiver-realized-volatility-prediction-safari", "kernel_id": "18611750"}, {"ref": "daicongxmu/feature-engineering-tuned-xgboost-lgbm", "kernel_id": "18263014"}, {"ref": "yiminglii/volatility-prediction", "kernel_id": "18351257"}, {"ref": "likitha21/notebookefd2d206e4", "kernel_id": "18222985"}, {"ref": "emingx/optiver-realized-volatility", "kernel_id": "18932677"}, {"ref": "nhiphuongtran/optiver-lstm", "kernel_id": "18937757"}, {"ref": "masamichitoyama/volatility-prediction1", "kernel_id": "18715097"}, {"ref": "masamichitoyama/volatillity-prediction2", "kernel_id": "18797952"}, {"ref": "archishs/a-novice-attempt-at-a-tough-problem", "kernel_id": "18377397"}, {"ref": "lokeshgautham/baseline-model", "kernel_id": "18643775"}, {"ref": "shahmahdihasan/eda-correlation-among-stocks-based-on-volatility", "kernel_id": "18364803"}, {"ref": "shahmahdihasan/overly-simplified-ols-prediction", "kernel_id": "18336979"}, {"ref": "ttquang/train-lstm", "kernel_id": "18596663"}, {"ref": "paarthbhasin/cnn-lstm-multivariate", "kernel_id": "18961973"}, {"ref": "priyharshgangwar/submission-guide-and-eda", "kernel_id": "18800996"}, {"ref": "redjumbie/another-nn-idea", "kernel_id": "19588348"}, {"ref": "stassl/recovering-time-id-order", "kernel_id": "19295768"}, {"ref": "gopalmahadevan/optiver-lgb-with-optimized-params", "kernel_id": "19378561"}, {"ref": "gopalmahadevan/short-fast-nn-lgb", "kernel_id": "19859304"}, {"ref": "gopalmahadevan/stock-embedding-ffnn-features-of-the-best-lgbm", "kernel_id": "19796346"}, {"ref": "mtinti/lgb-starter-eli5", "kernel_id": "19558277"}, {"ref": "teka1216/target-comparison-with-realized-volatility", "kernel_id": "19346535"}, {"ref": "victorasso/forward-filling-orvp", "kernel_id": "19330878"}, {"ref": "lehuynhduc/optiver-linear", "kernel_id": "19862795"}, {"ref": "swimmy/optiver-realized-ensamble-tabnet-and-lgbm", "kernel_id": "19396197"}, {"ref": "swimmy/optiver-lgb-with-optimized-params-feat", "kernel_id": "19358396"}, {"ref": "swimmy/short-fast-nn-lgb", "kernel_id": "19833091"}, {"ref": "swimmy/stock-embedding-ffnn-my-features-a79c35", "kernel_id": "19909153"}, {"ref": "narendra/optiver-realized-volatility-eda", "kernel_id": "19314195"}, {"ref": "narendra/optiver-baseline-gru", "kernel_id": "19405848"}, {"ref": "narendra/optiver-baseline-gru-submission", "kernel_id": "19470948"}, {"ref": "quincyqiang/pdata1-features1", "kernel_id": "19573532"}, {"ref": "quincyqiang/pdata1-lgb-train", "kernel_id": "19635679"}, {"ref": "quincyqiang/pdata1-lgb-inference", "kernel_id": "19635881"}, {"ref": "kevinbird15/fastai-tabular-optiver-starter-notebook", "kernel_id": "19815921"}, {"ref": "craving1030/lgb-model-with-random-grid-searching-parmeters", "kernel_id": "19199509"}, {"ref": "terrencetangt/stock-embedding", "kernel_id": "19865754"}, {"ref": "izotov/85-55-blend-nn-lgb-3-diffmodels", "kernel_id": "19872944"}, {"ref": "ollibolli/narrower-search", "kernel_id": "19223525"}, {"ref": "tatudoug/stock-embedding-ffnn-my-features", "kernel_id": "19767428"}, {"ref": "tatudoug/stock-embedding-ffnn-features-of-the-best-lgbm", "kernel_id": "19334898"}, {"ref": "watarukudo/lgbm-1st", "kernel_id": "19638456"}, {"ref": "watarukudo/stacking", "kernel_id": "19954420"}, {"ref": "watarukudo/tabnet-1st", "kernel_id": "19934441"}, {"ref": "zch19940222/volatity-prediction-lgb1", "kernel_id": "19669554"}, {"ref": "vbmokin/stock-embedding-ffnn-upgrade-3d", "kernel_id": "19916314"}, {"ref": "mateuscco/feature-engineering-pipeline-optimized-lightgbm", "kernel_id": "19672448"}, {"ref": "vjagannath786/understanding-the-competititon-v1-0", "kernel_id": "19350488"}, {"ref": "slawekbiel/optiver-features", "kernel_id": "19788350"}, {"ref": "slawekbiel/short-fast-nn-lgb", "kernel_id": "19788438"}, {"ref": "vi2018/normalized-prices", "kernel_id": "19966022"}, {"ref": "sakshi1303/optiver-simple-ml-model-2", "kernel_id": "19016308"}, {"ref": "felipefonte99/optiver-lgb-with-optimized-params", "kernel_id": "19044962"}, {"ref": "avivlevi815/baseline-model-lgbm-0-4", "kernel_id": "19460033"}, {"ref": "paritoshkr30/optiver-realized-tabnet-baseline", "kernel_id": "19837022"}, {"ref": "bayismet/short-fast-nn-lgb", "kernel_id": "19857402"}, {"ref": "oelikoeli/naive-model-in-r", "kernel_id": "19612484"}, {"ref": "rayanaay/12x-faster-variable-extraction-using-numpy", "kernel_id": "19981867"}, {"ref": "takiyu/japanese-optiver", "kernel_id": "19514925"}, {"ref": "fushigen/training-cnn", "kernel_id": "19893773"}, {"ref": "pea98258/tick-size", "kernel_id": "19384925"}, {"ref": "chrisrichardmiles/lightgbm-with-neptune-ai-integration", "kernel_id": "19929750"}, {"ref": "chrisrichardmiles/opt-utils", "kernel_id": "19920497"}, {"ref": "gogo827jz/go-deeper-and-deeper-optimise-rv", "kernel_id": "19186495"}, {"ref": "michaelgeorgerasmy/optiver-realized-volatility-prediction-lgmb-v1", "kernel_id": "19576068"}, {"ref": "lighttag/make-np-array-of-all-data", "kernel_id": "19556591"}, {"ref": "kamaljp/optiver-realized-volatility-eda-ideas", "kernel_id": "19340591"}, {"ref": "xiaowangiiiii/nn-starter-stock-embedding", "kernel_id": "19474182"}, {"ref": "tchaye59/realized-volatility-keras-rnn-baseline-tpu", "kernel_id": "19460893"}, {"ref": "nitinsss/lstm-starter-time-series-implementation", "kernel_id": "19916718"}, {"ref": "duckmoll/submit-single-stock-sample-weight", "kernel_id": "19041844"}, {"ref": "ramikhreas/catboost-with-optimized-params", "kernel_id": "19277005"}, {"ref": "ramikhreas/accelerating-trading-on-gpu-via-rapids-agg-fun", "kernel_id": "19275861"}, {"ref": "chumajin/optiver-realized-tabnet-baseline", "kernel_id": "19372631"}, {"ref": "chumajin/optiver-realized-ensemble-tabnet-and-lgbm", "kernel_id": "19373798"}, {"ref": "lucasmorin/load-external-data-yfinance-pca-t-sne-umap", "kernel_id": "19701509"}, {"ref": "noriakiendo/bias-of-time-ids-in-the-largest-targets", "kernel_id": "19644292"}, {"ref": "kosukeponi/begginer-tried-predicting-realized-vol-lgb", "kernel_id": "19488029"}, {"ref": "tensorchoko/optiver-tabnet-beginner", "kernel_id": "19893423"}, {"ref": "gokulprakash/optiver-feature-engineering", "kernel_id": "19608304"}, {"ref": "rohithramakrishnan/submission", "kernel_id": "19495502"}, {"ref": "hghghghgh1234/tabnet-regressor-training", "kernel_id": "19489620"}, {"ref": "hghghghgh1234/optiver-realized-volatility-lgbm-baseline", "kernel_id": "19424913"}, {"ref": "hghghghgh1234/inference-sub-gauss-rank-scaler-lgb-tabnet", "kernel_id": "19671905"}, {"ref": "ptrikp/single-stock-book-order-time-series", "kernel_id": "19991132"}, {"ref": "sourabhy/orvp-eda", "kernel_id": "19456662"}, {"ref": "aman2114/baseline-0-211", "kernel_id": "19239040"}, {"ref": "aman2114/lgb-imputed-tuned", "kernel_id": "19784315"}, {"ref": "aman2114/known-ensemble-with-inference", "kernel_id": "19834035"}, {"ref": "aman2114/stock-embedding-ffnn-new-features", "kernel_id": "19956955"}, {"ref": "anirudhvadakedath/tpot-v1", "kernel_id": "19613111"}, {"ref": "anirudhvadakedath/opti-forcast-9bb85b", "kernel_id": "19498268"}, {"ref": "abelmatas/stock-embedding-ffnn", "kernel_id": "19939584"}, {"ref": "abelmatas/naive-prediction", "kernel_id": "19932109"}, {"ref": "rajat95gupta/ensemble-lgbm-nn-inference", "kernel_id": "19563050"}, {"ref": "rajat95gupta/optiver-lgbm-two-seeds-inference", "kernel_id": "19311146"}, {"ref": "greeneagle2/eda-orvp-using-dataprep", "kernel_id": "19346090"}, {"ref": "leolu1998/optiver-realized-ensemble", "kernel_id": "19664925"}, {"ref": "jasonhuangcn/lgbm-train-baseline", "kernel_id": "19903573"}, {"ref": "mayangrui/optiver-realized-volatility-prediction", "kernel_id": "19863118"}, {"ref": "juanignacio93/introduction-to-financial-concepts-and-data", "kernel_id": "19249743"}, {"ref": "monicafeng/optiverrealizedvolatility-v2-0-0", "kernel_id": "19000076"}, {"ref": "skloveyyp/optiver-lgb-with-optimized-params", "kernel_id": "19317207"}, {"ref": "peterzcy/optiver-eda", "kernel_id": "19414384"}, {"ref": "nishanthaddagatla/ensemble-3x-inference", "kernel_id": "19668814"}, {"ref": "lihongtang/optiver-feature-experimentation-lgbm-tuning", "kernel_id": "19133768"}, {"ref": "tejasdokras/realized-volatility-predicton", "kernel_id": "19323964"}, {"ref": "jiangair/lightgbm-starter-with-feature-engineering-idea", "kernel_id": "19453850"}, {"ref": "tarlannazarov/optiver-lgb-with-optimized-params", "kernel_id": "19080342"}, {"ref": "tarlannazarov/stock-embedding-ffnn-all-seeds-1111", "kernel_id": "19899986"}, {"ref": "hamidalikhan/optivervolitalitypredictions", "kernel_id": "19955548"}, {"ref": "heirophany/introduction-to-financial-concepts-and-data", "kernel_id": "19577807"}, {"ref": "markct/volatility-3", "kernel_id": "19275627"}, {"ref": "alexyuehuang/lgb-with-added-feature-engineering", "kernel_id": "19769024"}, {"ref": "alexyuehuang/lgb-with-preprocessor", "kernel_id": "19856806"}, {"ref": "pkang0831/optiver-submission-pk", "kernel_id": "19200063"}, {"ref": "victorsullivan/optiver-realized-volatility-prediction", "kernel_id": "19862955"}, {"ref": "yamitatsu/volatility-eda", "kernel_id": "19610095"}, {"ref": "yamitatsu/volatility-eda-for-beginner-xgboost", "kernel_id": "19636433"}, {"ref": "yaoching/introduction-to-financial-concepts-and-data", "kernel_id": "19846362"}, {"ref": "junjitakeshima/optiver-beginner-s-gradual-improvement-eng", "kernel_id": "19341892"}, {"ref": "melihgm11/analysis-of-the-optiver-realized-volatility", "kernel_id": "19712025"}, {"ref": "sweetjane/catboost", "kernel_id": "19599592"}, {"ref": "shivansh002/tabnet-nn", "kernel_id": "19980630"}, {"ref": "shivansh002/leaderboard-betterfit-algorithm-default-parameter", "kernel_id": "19959205"}, {"ref": "shivansh002/xgboost-hyper-parameter-optimization", "kernel_id": "19562673"}, {"ref": "syerwin/optiver-realized-ensemble-tabnet-and-lgbm", "kernel_id": "19681093"}, {"ref": "syerwin/stock-embedding-ffnn-my-features-a5d6b0", "kernel_id": "19921342"}, {"ref": "tathagatsaxena28/optiver-realized-ensemble-tabnet-and-lgbm", "kernel_id": "19990569"}, {"ref": "ataruno/submission-test-just-to-submit-a-sample", "kernel_id": "19193388"}, {"ref": "alexioslyon/accelerating-trading-on-gpu-via-rapids", "kernel_id": "19131784"}, {"ref": "alexioslyon/stock-embedding-ffnn-my-features", "kernel_id": "19892460"}, {"ref": "lildatascientist/multiclass-classification-from-scratch", "kernel_id": "19510228"}, {"ref": "lildatascientist/importance-of-scaling-data", "kernel_id": "19470135"}, {"ref": "lildatascientist/neural-network-from-scratch", "kernel_id": "19792433"}, {"ref": "danielkinger/notebooke4be4a3025", "kernel_id": "19411550"}, {"ref": "zxstont/short-fast-nn-lgb", "kernel_id": "19867670"}, {"ref": "ericpeterson/lgb-12-sept", "kernel_id": "20461822"}, {"ref": "ericpeterson/lgb-model-2", "kernel_id": "20081679"}, {"ref": "titericz/rapids-gpu-accelerated-from-scratch-solution", "kernel_id": "20665263"}, {"ref": "titericz/rapids-xgboost", "kernel_id": "20913166"}, {"ref": "vv0x0x/optiver-2lstm-attention-is-incoming", "kernel_id": "20317472"}, {"ref": "vv0x0x/optiver-pca-2lstm", "kernel_id": "20184377"}, {"ref": "regipublic/half-time-submitting-to-leaderboard-with-a-trick", "kernel_id": "20650870"}, {"ref": "sunilmistri/last-day", "kernel_id": "20841794"}, {"ref": "endremoen/feature-engineering-optimal-clustering-analysis", "kernel_id": "20256795"}, {"ref": "something4kag/optiver-hdbscan", "kernel_id": "20301451"}, {"ref": "vuko91/optiver-public-notebook", "kernel_id": "20301881"}, {"ref": "nrcjea001/lgbm-baseline-no-leaks-stratifiedgroupkfold", "kernel_id": "20678730"}, {"ref": "lukaslegerer/linear-model-with-simple-features", "kernel_id": "20624151"}, {"ref": "aerdem4/optiver-gpu-accelerated-lofo-feature-importance", "kernel_id": "20437447"}, {"ref": "aerdem4/optiver-pytorch-gpu-no-feature-eng", "kernel_id": "20118185"}, {"ref": "mtinti/model-a1", "kernel_id": "20327057"}, {"ref": "sredstone/onserver-test", "kernel_id": "20811338"}, {"ref": "albertocabezas/bayesian-optiver", "kernel_id": "20442951"}, {"ref": "johnakwei/second-test", "kernel_id": "20626174"}, {"ref": "jordimoragas/stacking-lgbm-catb-2xnn-noleak", "kernel_id": "20735739"}, {"ref": "lhagiimn/optiver-final-inference-v3", "kernel_id": "20275411"}, {"ref": "verracodeguacas/rapids-fast-ica", "kernel_id": "20147253"}, {"ref": "isakev/opt-09-25-seeds3-time-id-kmeans-noaug-groupkfold", "kernel_id": "20792454"}, {"ref": "narendra/optiver-transformer-pool-head-submission", "kernel_id": "20665704"}, {"ref": "narendra/optiver-attention-multitask-submission", "kernel_id": "20234395"}, {"ref": "narendra/optiver-attention-multitask", "kernel_id": "20199752"}, {"ref": "narendra/optiver-transformer-with-pool-head-no-ffil", "kernel_id": "20510214"}, {"ref": "narendra/optiver-trade-data-analysis", "kernel_id": "20526935"}, {"ref": "narendra/optiver-attention-basic-feature-submission", "kernel_id": "20325550"}, {"ref": "rasevanth/data-prep", "kernel_id": "20076317"}, {"ref": "johnyan1019/how-different-kernels-can-be-organized-nicely", "kernel_id": "20404044"}, {"ref": "bobber/boruta-shap-2xlgbm-fnn-ensemble-pre-gpu-ae", "kernel_id": "20676225"}, {"ref": "bobber/gpu-rapids-xgb-lgb-cat-nnbase-autoencoder", "kernel_id": "20716219"}, {"ref": "denisvodchyts/tf-model-predict-all-stocks-in-one-shot", "kernel_id": "20016986"}, {"ref": "ktaichi/feature-engineering-lgbm", "kernel_id": "20739463"}, {"ref": "jpmary/correlationontest", "kernel_id": "20369505"}, {"ref": "josemauricioneuro/stack-lgbm-for-cluster-s-stockid", "kernel_id": "20356749"}, {"ref": "eliosgut/too-many-features", "kernel_id": "20841609"}, {"ref": "ollibolli/lgbm-hyperparameter-search-with-genetic-algorithms", "kernel_id": "20807663"}, {"ref": "htetaung04/optiver-in-r", "kernel_id": "20765941"}, {"ref": "htetaung04/optiver-submission", "kernel_id": "20739832"}, {"ref": "nyanpn/1st-place-public-2nd-place-solution", "kernel_id": "20850833"}, {"ref": "nyanpn/adversarial-validation-in-optiver", "kernel_id": "20419078"}, {"ref": "tatudoug/datasetcreation", "kernel_id": "20136837"}, {"ref": "laoliulaoliu/volatility-predict2", "kernel_id": "20258402"}, {"ref": "rrprabhu/trading-on-gpu-rapids-other-potential-concepts", "kernel_id": "20845020"}, {"ref": "ymatioun/optiver-sub", "kernel_id": "20304350"}, {"ref": "danielhalliden/sep25-preprocessing", "kernel_id": "20793774"}, {"ref": "des137/introduction-to-financial-concepts-and-data", "kernel_id": "20193349"}, {"ref": "slawekbiel/ensamble", "kernel_id": "20744150"}, {"ref": "vi2018/lightning-skeleton-for-training-inference", "kernel_id": "20067042"}, {"ref": "vi2018/optiver-volatility-prediction-linear-regression", "kernel_id": "20117419"}, {"ref": "tiger1026/lgbm-baseline-with-more-feature-engineering", "kernel_id": "20613781"}, {"ref": "kukuchiku/notebook2bb58a3356", "kernel_id": "20671796"}, {"ref": "johngang/lgb-xgb-cb-new-feature", "kernel_id": "20509942"}, {"ref": "medali1992/xgboost-parameter-tuning", "kernel_id": "20238652"}, {"ref": "gorynych200/correct-way-of-sampling-for-cv", "kernel_id": "20435579"}, {"ref": "voix97/bagging", "kernel_id": "20105743"}, {"ref": "voix97/anomalydetection-timeseriessplit-lgbm-nn", "kernel_id": "20798618"}, {"ref": "monolith0456/2xlgbm-fnn-ensemble", "kernel_id": "20177484"}, {"ref": "rayanaay/volatility-indicators-with-lgbm", "kernel_id": "20429695"}, {"ref": "res1235/preprocessing-rapids-finish-in-3-mins", "kernel_id": "20544268"}, {"ref": "ricopue/optiver-base-keras-cnn2d-final1", "kernel_id": "20813929"}, {"ref": "gunesevitan/optiver-realized-volatility-prediction-mlp-mixer", "kernel_id": "20634588"}, {"ref": "ellifa/catboost-incremental-learning-hyperopt", "kernel_id": "20277781"}, {"ref": "madquer/py-package-style-include-pk-code-lgb-tabn", "kernel_id": "20045184"}, {"ref": "austinzhao/model-tuning-lgbm-baseline", "kernel_id": "20248849"}, {"ref": "austinzhao/reproduction-explanation-lgbm-baseline", "kernel_id": "20099574"}, {"ref": "tangtunyu/tabnet-nn-lgbm-load-ensemble", "kernel_id": "20374681"}, {"ref": "tangtunyu/10-fold-lgbm", "kernel_id": "20876580"}, {"ref": "mdunaiski/sample-sub", "kernel_id": "20270281"}, {"ref": "timetoshow/0-19741features", "kernel_id": "20169617"}, {"ref": "timetoshow/lstm-model", "kernel_id": "20170616"}, {"ref": "timetoshow/tabnet-dataset", "kernel_id": "20224620"}, {"ref": "yaniv256/samesame", "kernel_id": "20651393"}, {"ref": "yaniv256/notebookc06b833e0f", "kernel_id": "20491118"}, {"ref": "fushigen/comparision-lgbm", "kernel_id": "20274182"}, {"ref": "fushigen/optim-data-create", "kernel_id": "20282180"}, {"ref": "fushigen/optiver-1dcnn-baseline", "kernel_id": "20335641"}, {"ref": "chrisrichardmiles/opt-train-dart-op-175-fold-0", "kernel_id": "20820166"}, {"ref": "chrisrichardmiles/opt-train-tabnet-181", "kernel_id": "20824799"}, {"ref": "chrisrichardmiles/opt-train-tabnet-183", "kernel_id": "20829731"}, {"ref": "chrisrichardmiles/opt-inf-ensemble-final-1", "kernel_id": "20831053"}, {"ref": "chrisrichardmiles/opt-train-dart-op-175-cons", "kernel_id": "20830916"}, {"ref": "chrisrichardmiles/opt-inf-ensemble-final-2-simple", "kernel_id": "20837737"}, {"ref": "chrisrichardmiles/opt-train-dart-op-146", "kernel_id": "20749842"}, {"ref": "chrisrichardmiles/opt-train-tabnet-147", "kernel_id": "20753246"}, {"ref": "chrisrichardmiles/opt-train-tabnet-150", "kernel_id": "20768460"}, {"ref": "chrisrichardmiles/opt-train-dart-op-157-cons", "kernel_id": "20779052"}, {"ref": "chrisrichardmiles/opt-train-dart-stacking-op-163", "kernel_id": "20779750"}, {"ref": "chrisrichardmiles/opt-lgb-stacking-op-162", "kernel_id": "20779751"}, {"ref": "chrisrichardmiles/opt-fe", "kernel_id": "20048875"}, {"ref": "chrisrichardmiles/generate-train-features-script-p13", "kernel_id": "20130725"}, {"ref": "dnging/linear-regression-3", "kernel_id": "20344242"}, {"ref": "xpe5566/gold-plan", "kernel_id": "20334087"}, {"ref": "takara710/submission-starter", "kernel_id": "20435111"}, {"ref": "andrifnatius/volatility-prediction-feature-eng-linear-reg", "kernel_id": "20213140"}, {"ref": "raphael1123/optiver-single-lgbm", "kernel_id": "20406830"}, {"ref": "purvansharora/optiver", "kernel_id": "20673212"}, {"ref": "kiitosu/train-to-pickle", "kernel_id": "20280829"}, {"ref": "kiitosu/optiver-lofo-importance", "kernel_id": "20281681"}, {"ref": "kiitosu/baseline-simple-flow-with-lightgbm-add-lofoimp", "kernel_id": "20233422"}, {"ref": "jarvisai7/gpu-accelerated-80x-feature-extraction", "kernel_id": "20038767"}, {"ref": "lucasmorin/feature-engineering-3-rv-aggregation", "kernel_id": "20293331"}, {"ref": "lucasmorin/deanonimising-time-from-event", "kernel_id": "20479695"}, {"ref": "lucasmorin/volatility-maximum-likelihood-estimation", "kernel_id": "20135036"}, {"ref": "lucasmorin/feature-engineering-2-aggregation-functions", "kernel_id": "20246942"}, {"ref": "lucasmorin/feature-engineering-1-base-features", "kernel_id": "20193968"}, {"ref": "mohitsahal/2xlgbm-fnn-ensemble", "kernel_id": "20292233"}, {"ref": "ravinderkotwal/optiver-dataset-eda", "kernel_id": "20440246"}, {"ref": "ravinderkotwal/optiver-volatility-prediction-eda", "kernel_id": "20496387"}, {"ref": "ravinderkotwal/optiver-feature-engineering", "kernel_id": "20520729"}, {"ref": "calibrator/numba-functions", "kernel_id": "20163379"}, {"ref": "calibrator/final-ensemble-501-public", "kernel_id": "20724271"}, {"ref": "alexandredurand/clustering-stock-id-time-id", "kernel_id": "20495119"}, {"ref": "mrutyunjaybiswal/orvp-nn-stock-embedding-train-pipeline", "kernel_id": "20803988"}, {"ref": "mrutyunjaybiswal/orvp-dae-1dcnn-train-pipeline", "kernel_id": "20811779"}, {"ref": "mrutyunjaybiswal/orvp-lgbm-infer", "kernel_id": "20747444"}, {"ref": "mrutyunjaybiswal/orvp-xgb-inference", "kernel_id": "20757984"}, {"ref": "mrutyunjaybiswal/orvp-lgbm-train-pipeline", "kernel_id": "20642991"}, {"ref": "mrutyunjaybiswal/orvp-data-creation-pipeline-cv-folds", "kernel_id": "20602638"}, {"ref": "mrutyunjaybiswal/orvp-more-features-boosting-lgbm-pipeline", "kernel_id": "20448589"}, {"ref": "clarkzhang0201/kmeans-ffnn-lightgbm", "kernel_id": "20795484"}, {"ref": "jaiminpandya8/visualize-log-return-for-any-stock-id-time-id", "kernel_id": "20343056"}, {"ref": "takemi/ohlc-charts-candlestick-charts", "kernel_id": "20305467"}, {"ref": "takemi/t-sne-hdbscan-stock-id-0", "kernel_id": "20356866"}, {"ref": "takemi/umap-hdbscan-stock-id-0", "kernel_id": "20381261"}, {"ref": "atsushiiwasaki/orvp-data-preprocessing", "kernel_id": "20818692"}, {"ref": "datafan07/optiver-volatility-predictions-using-tabnet", "kernel_id": "20114810"}, {"ref": "cldavies/volatility-autoencoder-embedding-cnn", "kernel_id": "20724189"}, {"ref": "cldavies/single-value-baseline", "kernel_id": "20377092"}, {"ref": "einchin/opt-vol-pred-xgboost-lgbm-catboost", "kernel_id": "20753602"}, {"ref": "eddiecher/prepare-1dcnn-origin", "kernel_id": "20823518"}, {"ref": "eddiecher/pre-processed-data", "kernel_id": "20547201"}, {"ref": "hghghghgh1234/fnn-tabnet-lgbm-ensemble", "kernel_id": "20610928"}, {"ref": "ptrikp/carry-order-book-info-upto-where-trade-occurs", "kernel_id": "20438007"}, {"ref": "towhidultonmoy/updated-code", "kernel_id": "20164328"}, {"ref": "sinatavakolibanizi/notebook922c6c83b4", "kernel_id": "20033836"}, {"ref": "sinatavakolibanizi/lgbm-ffnn", "kernel_id": "20228758"}, {"ref": "sinatavakolibanizi/2lgbm-2nn", "kernel_id": "20734153"}, {"ref": "justolooking/passs4", "kernel_id": "20493066"}, {"ref": "anantmulchandani/optiver-realized-volatility-prediction", "kernel_id": "20063986"}, {"ref": "yzgast/orvp-data-exploration-eda", "kernel_id": "20050528"}, {"ref": "jogepari/feel-the-data-interactive-plotly-charts", "kernel_id": "20446427"}, {"ref": "leolu1998/lgbm-tabnet-nn-no-leaks-stratifiedgroupkfold", "kernel_id": "20792373"}, {"ref": "leolu1998/final-stock-optiver-nn-lgbm-inference", "kernel_id": "20752482"}, {"ref": "mayangrui/lgbm-and-nn", "kernel_id": "20082346"}, {"ref": "mayangrui/lgbm-ffnn", "kernel_id": "20133686"}, {"ref": "rohandaniel/optiver-realized-volatility-prediction-rd", "kernel_id": "20551050"}, {"ref": "max2020/0928-trans-5-topn-2", "kernel_id": "20837006"}, {"ref": "skloveyyp/optiver-volatility-predictions-using-tabnet", "kernel_id": "20835308"}, {"ref": "tatsuyayamamoto/optiver-lightgbm-nn-ensemble", "kernel_id": "20568257"}, {"ref": "realtimshady/2lgbm-2nn", "kernel_id": "20683787"}, {"ref": "nishanthaddagatla/lgbm-baseline", "kernel_id": "20110152"}, {"ref": "abaojiang/ohlcv-and-technical-indicators", "kernel_id": "20335879"}, {"ref": "rameshsimhadri/optiver-volatility-4", "kernel_id": "20475043"}, {"ref": "davidgauthier/linearmodel-var", "kernel_id": "20422126"}, {"ref": "oldwine357/catboost-lgbm-x-4-kmeans-hyp-params-tuning", "kernel_id": "20299799"}, {"ref": "pavfedotov/3xlgbm-timeseriessplit", "kernel_id": "20311183"}, {"ref": "pedroantoniak/tune-nn-with-keras-tuner-lgbm-ensemble", "kernel_id": "20573429"}, {"ref": "jacobyjaeger/15th-place", "kernel_id": "20752564"}, {"ref": "shayanabbasi1995/lgbm-baseline-the-features-i-ended-up-with", "kernel_id": "20715224"}, {"ref": "akshayr009/optiver-realized-volatility-prediction", "kernel_id": "20364424"}, {"ref": "wuyanming/2lgbm-2nn-best-score", "kernel_id": "20822630"}, {"ref": "antoinebugeia/p8-optiver-volatility-prediction", "kernel_id": "20389383"}, {"ref": "vuxxxx/feature-selection-rfecv", "kernel_id": "20735940"}, {"ref": "millerrfu/pickle", "kernel_id": "20360740"}, {"ref": "srinivastikkana/190031630-competition", "kernel_id": "20841768"}, {"ref": "nagarjuna2997/optiver-realized-volatility-prediction", "kernel_id": "20826481"}, {"ref": "dlaststark/orvp-why-so-serious", "kernel_id": "20361910"}, {"ref": "dlaststark/orvp-new-dawn", "kernel_id": "20127459"}, {"ref": "abdullahahsann/optiver-v02", "kernel_id": "20550076"}, {"ref": "boddusairamakrishna/190030176-optiver-realized-volatility-prediction", "kernel_id": "20737294"}, {"ref": "vijaykrishnalikhith/dvt-skil", "kernel_id": "20729914"}, {"ref": "vijaykrishnalikhith/notebookada6397c94", "kernel_id": "20620243"}, {"ref": "vijaykrishnalikhith/190030375", "kernel_id": "20812793"}, {"ref": "kingakocol/master-ensemble-with-comments", "kernel_id": "20794558"}, {"ref": "frizzledynasty/optiver-fe-groupkfold", "kernel_id": "20448045"}, {"ref": "yingdonghao/lgbm-ffnn-data", "kernel_id": "20518523"}, {"ref": "yingdonghao/lgbm-ffnn-trial", "kernel_id": "20196721"}, {"ref": "dangtrung/optiver-volatility-prediction-full-pipeline-v-15", "kernel_id": "20812725"}, {"ref": "toxicmaze/optiver-lgbm-ffnn", "kernel_id": "20224583"}, {"ref": "jahnavisomala/190031529-orvp", "kernel_id": "20744851"}, {"ref": "cheneyx/tabnet", "kernel_id": "20670973"}, {"ref": "heirophany/lgbm-baseline-no-leaks-stratifiedgroupkfold", "kernel_id": "20775629"}, {"ref": "fritzcremer/how-are-the-buckets-shifted-in-time", "kernel_id": "20864741"}, {"ref": "hserdaraltan/optiver-train-feature-engineering-lgbm-cv-gpu", "kernel_id": "20026933"}, {"ref": "jordiarellano/data-visualizations", "kernel_id": "20715626"}, {"ref": "yhx003/baseline-denoiseautoencoder-1dcnn", "kernel_id": "20455843"}, {"ref": "tomforbes/keras-cnn-baseline-with-stock-embedding", "kernel_id": "20244931"}, {"ref": "victorsullivan/orvp1", "kernel_id": "20476621"}, {"ref": "victorsullivan/orvpteam", "kernel_id": "20613336"}, {"ref": "mwitkowski/optiver-lightgbm-ver-1-ec2cf6", "kernel_id": "20847785"}, {"ref": "konstantinboyko/optiver-2xlgbm-fnn-ensemble-perfomance", "kernel_id": "20437255"}, {"ref": "taehyunahn/first-submission", "kernel_id": "20196289"}, {"ref": "brentabove/lgbm-baseline19729-predictions-lgb1", "kernel_id": "20729973"}, {"ref": "brentabove/lgbm-baseline19729-test-predictions-nn", "kernel_id": "20729435"}, {"ref": "brentabove/lgbm-baseline19729-test-predictions-nn1", "kernel_id": "20729451"}, {"ref": "brentabove/lgbm-baseline19729-predictions-lgb2", "kernel_id": "20730003"}, {"ref": "brentabove/lgb1-0-6-0-4-lgb2-0-6-0-4-nn0-6-0-4nn1", "kernel_id": "20758875"}, {"ref": "brentabove/lgb1-0-6-0-4-lgb2-0-55-0-45-nn0-6-0-4nn", "kernel_id": "20758995"}, {"ref": "brentabove/lgb1-55-45-lgb2-0-45-0-55-nn-55-0-45", "kernel_id": "20779368"}, {"ref": "brentabove/fork-of-lgbm-baseline19729-test-predictions-nn", "kernel_id": "20780880"}, {"ref": "k589k589/lightgbm-eda-mandarin", "kernel_id": "20296878"}, {"ref": "angelaccept/ensem-2lgbm-2nn-19729-stratified-group-kfd", "kernel_id": "20790493"}, {"ref": "angelaccept/ensem-2lgbm-2nn-19729-stratified-group-kfd-w6-4", "kernel_id": "20790609"}, {"ref": "angelaccept/lgbm-baseline19729-test-predictions-nn", "kernel_id": "20761691"}, {"ref": "adityasharma01/optiver-volatility-3", "kernel_id": "20636299"}, {"ref": "muchabean/model-final", "kernel_id": "20808575"}, {"ref": "yazanmajzob/predictions-for-financial-markets", "kernel_id": "20262775"}, {"ref": "dmtrrr/optiver-combined-lstm-and-cnn-approach-0-2436", "kernel_id": "20641817"}, {"ref": "miyashitaryuma/groupkfold-stock-id", "kernel_id": "20318208"}, {"ref": "miyashitaryuma/lgbm-baseline", "kernel_id": "20540121"}, {"ref": "wonjunchoinada/notebook73c31f4859", "kernel_id": "20337843"}, {"ref": "gabellinifrancesco/tabnet-boosting-final", "kernel_id": "20596133"}, {"ref": "nidadavolusppriyanka/optiver-volatility-4", "kernel_id": "20729037"}, {"ref": "nidadavolusppriyanka/notebook41ae071cd2", "kernel_id": "20783350"}, {"ref": "nidadavolusppriyanka/1689-1190-klef", "kernel_id": "20736979"}, {"ref": "nidadavolusppriyanka/31190-31689-optiver", "kernel_id": "20838393"}, {"ref": "shivansh002/hit-and-trial-2", "kernel_id": "20226788"}, {"ref": "shivansh002/your-friendly-neighbour-lightgbm", "kernel_id": "20154578"}, {"ref": "tegetegeracing/2xlgbm-optuna-tuning-fnn-ensemble", "kernel_id": "20689535"}, {"ref": "knrindhuknrindhu/190030718-optiver-realized-volatility-prediction", "kernel_id": "20779950"}, {"ref": "cybilcybil/agg-new-try-feature", "kernel_id": "20808372"}, {"ref": "cybilcybil/division-new-try-feature", "kernel_id": "20810695"}, {"ref": "nicstephens/validation-notebook", "kernel_id": "20781727"}, {"ref": "nicstephens/final-submission", "kernel_id": "20804284"}, {"ref": "laberthier/nn-runner", "kernel_id": "20753772"}, {"ref": "parikshitsharma2001/2lgbm-2nn-6ea9ad", "kernel_id": "20853418"}, {"ref": "parikshitsharma2001/2lgbm-2nn", "kernel_id": "20762115"}, {"ref": "satoshimts/stratifiedgroupkflod-5-lgb-ensamble-dropout", "kernel_id": "20802900"}, {"ref": "satoshimts/kfold-vs-groupkfold", "kernel_id": "20567420"}, {"ref": "satoshimts/tau-vs-no-tau-vs-knn-tau", "kernel_id": "20573292"}, {"ref": "satoshimts/kfold-no-leak-no-use-groupkfold", "kernel_id": "20602993"}, {"ref": "satoshimts/fork-of-tau-vs-no-tau-vs-knn-tau-english", "kernel_id": "20588639"}, {"ref": "satoshimts/optiver-volatility-introduction", "kernel_id": "20414673"}, {"ref": "syerwin/optiver-2lgbm-2nn", "kernel_id": "20725714"}, {"ref": "hemanth9kumar9reddy/optiver-dataset-eda", "kernel_id": "20805935"}, {"ref": "hemanth9kumar9reddy/correct-way-of-sampling-for-cv", "kernel_id": "20807933"}, {"ref": "soumenksarker/stacking-lgbm-ang-catboost", "kernel_id": "20491580"}, {"ref": "soumenksarker/optiver-volatility-4", "kernel_id": "20758623"}, {"ref": "rajeshchowdary6666/190031661-optiver-realized-prediction", "kernel_id": "20736509"}, {"ref": "kumudsingh9/optiver-improved-volatility-prediction-for-trading", "kernel_id": "20608268"}, {"ref": "kumudsingh9/optiver-realized-progress", "kernel_id": "20663301"}, {"ref": "kumudsingh9/optiver-volatility-bettered", "kernel_id": "20746708"}, {"ref": "kumudsingh9/optiver-volatility-prediction-pyt", "kernel_id": "20788605"}, {"ref": "onlyrobert/lgbm2-2nn-tabnet", "kernel_id": "20779546"}, {"ref": "nivasbodapati/introduction-to-financial-concepts-and-data", "kernel_id": "20736976"}, {"ref": "intjerlu/rapids-gpu-accelerated-from-scratch-solution", "kernel_id": "20821968"}, {"ref": "intjerlu/submit-optiver-volatility", "kernel_id": "20822537"}, {"ref": "alexioslyon/lgbm-baseline", "kernel_id": "20015931"}, {"ref": "xuhangcn/prepare-to-submit-feature", "kernel_id": "20831804"}, {"ref": "xuhangcn/new-try-feature", "kernel_id": "20656341"}, {"ref": "lildatascientist/decision-tree-and-random-forest-from-scratch", "kernel_id": "20036909"}, {"ref": "lildatascientist/logistic-regression-from-scratch", "kernel_id": "20064853"}, {"ref": "avyachen/2xlgbm-fnn-ensemble-a6e9e0", "kernel_id": "20444039"}, {"ref": "chittuluribhavyasri/190030335", "kernel_id": "20689111"}, {"ref": "saisreelasyavanam/31689-31190-klu", "kernel_id": "20737277"}, {"ref": "aurorazxx/optiver-lightgbm", "kernel_id": "20442037"}, {"ref": "yusakunokubi/lightgbm-japanese", "kernel_id": "20016098"}, {"ref": "martinlardiwinata/optiver-realized-volatility-prediction", "kernel_id": "20998068"}, {"ref": "aryaaryan/optiver-2lstm-attention-is-incoming", "kernel_id": "20350656"}, {"ref": "aryaaryan/hit-and-trial-2", "kernel_id": "20347150"}, {"ref": "aryaaryan/ohlc-charts-candlestick-charts", "kernel_id": "20347007"}, {"ref": "hongyishao/rf-version2", "kernel_id": "20489666"}, {"ref": "voidfly/fork-of-lgbm-baseline", "kernel_id": "20612398"}, {"ref": "jinglingzhou/optiver-volatility-predictions-using-tabnet", "kernel_id": "20611349"}, {"ref": "jinglingzhou/optiver-v2-features-book-and-trade", "kernel_id": "20799764"}, {"ref": "jinyuanzhang0320/group-k-fold-tabnet-model", "kernel_id": "20781103"}, {"ref": "jinyuanzhang0320/group-k-fold-lgb-model", "kernel_id": "20781164"}, {"ref": "jinyuanzhang0320/group-k-fold-nn-model-stock31", "kernel_id": "20801849"}, {"ref": "jinyuanzhang0320/group-k-fold-lgb-model-stock31", "kernel_id": "20801819"}, {"ref": "jinyuanzhang0320/group-k-fold-tabnet-model-stock31", "kernel_id": "20801705"}, {"ref": "stassl/rnn-stock-attention", "kernel_id": "21397992"}, {"ref": "aerdem4/optiver-on-cpu", "kernel_id": "21392961"}, {"ref": "aerdem4/optiver-on-gpu", "kernel_id": "21758445"}, {"ref": "slawekbiel/optiver-public-lb-backup", "kernel_id": "21251328"}, {"ref": "kmldas/optiver-shakeup-viz", "kernel_id": "21276314"}, {"ref": "carlmcbrideellis/2nd-lb-update-scatterplots-with-and-without-noise", "kernel_id": "21702398"}, {"ref": "carlmcbrideellis/jane-streeet-the-first-two-shakeup-scatterplots", "kernel_id": "21605498"}, {"ref": "carlmcbrideellis/optiver-interactive-shakeup-scatterplots", "kernel_id": "21252979"}, {"ref": "saisreelasyavanam/opt31689-31190", "kernel_id": "21586635"}, {"ref": "nathpriyanka/vevesta-notebook", "kernel_id": "22014444"}, {"ref": "bryanb/turn-your-time-series-into-images", "kernel_id": "22301688"}, {"ref": "trushk/interactive-lb-dashboard", "kernel_id": "22708232"}, {"ref": "slawekbiel/medal-chaser-plot", "kernel_id": "22996079"}, {"ref": "muchabean/optiver-realized-eda-for-starter-english-version", "kernel_id": "22639952"}, {"ref": "minghaolu/fork-of-ensem-kfinal1", "kernel_id": "22399338"}, {"ref": "stassl/private-set-filler-probing", "kernel_id": "23928305"}, {"ref": "gmanyc/realized-volatility-decomposition", "kernel_id": "23052865"}, {"ref": "skloveyyp/notebookbe7ba0e4d8", "kernel_id": "23097555"}, {"ref": "shigeria/optiver-lgbm-tabnet-nn", "kernel_id": "23815632"}, {"ref": "parikshitsharma2001/rnn-stock-attention", "kernel_id": "23901241"}, {"ref": "achang658/public-2nd-place-solution", "kernel_id": "24432630"}, {"ref": "sotaromaejima/simple-lgbm-with-various-features-japanese", "kernel_id": "24046858"}, {"ref": "baraknetef/optilver-eda-regression", "kernel_id": "24542743"}, {"ref": "skloveyyp/baseline-denoiseautoencoder-1dcnn-0e880e", "kernel_id": "25548895"}, {"ref": "chengskin/optiver-realized-volatility-prediction-15th", "kernel_id": "25803381"}, {"ref": "rriceice/code-template", "kernel_id": "25832074"}, {"ref": "phunter2023/fork-of-lgbm-baseline", "kernel_id": "26435164"}, {"ref": "achang658/introduction-to-financial-concepts-and-data", "kernel_id": "26791562"}, {"ref": "rriceice/introduction-to-financial-concepts-and-data", "kernel_id": "26525133"}, {"ref": "troybernie/optiver-realized-eda-for-starts", "kernel_id": "27492399"}, {"ref": "asalan/notebookeb6376945e", "kernel_id": "27996852"}, {"ref": "zhicuicui/optiver", "kernel_id": "27256340"}, {"ref": "mu10086/polyu-ada-project-g08", "kernel_id": "28500129"}, {"ref": "chrisrichardmiles/opt-best-dart-inference", "kernel_id": "29413805"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "gagble/optiver", "kernel_id": "30263569"}, {"ref": "zxy111/introduction-to-financial-concepts-and-data", "kernel_id": "31823603"}, {"ref": "hitvarth/optiver-challenge-ds203-project", "kernel_id": "32739295"}, {"ref": "ganeshborkar31/realized-volatility-prediction-xgbregressor", "kernel_id": "33072555"}, {"ref": "dasbro/lgbt-newfeature", "kernel_id": "33095473"}, {"ref": "eliedme/mfg-notebook", "kernel_id": "37268366"}, {"ref": "pranjal942/notebook19a6ef8b43", "kernel_id": "37516817"}, {"ref": "sanusiisiaqolatunji/volatility-prediction-using-garch", "kernel_id": "38076921"}, {"ref": "jieren1234/optiver-final", "kernel_id": "38835539"}, {"ref": "yolovo/ensemble-lgbm-cat-nn-tabnet", "kernel_id": "38194523"}, {"ref": "mihailturlakov/mt-real-vol", "kernel_id": "39029069"}, {"ref": "goolkinsnose/stock-embedding-ffnn-my-features", "kernel_id": "42507682"}, {"ref": "goolkinsnose/stock-embedding-ffnn-my-features-a5d6b0", "kernel_id": "42603967"}, {"ref": "mihailturlakov/r-vol-stock-specific-regression", "kernel_id": "42984549"}, {"ref": "pablosh/market-volatility-prediction", "kernel_id": "43487303"}, {"ref": "sayurasankalpa/eda-map6605-sayura-senaratne", "kernel_id": "43741481"}, {"ref": "anghungyie/optiver", "kernel_id": "43062446"}, {"ref": "violettamamykova/stock-embedding-ffnn-my-features", "kernel_id": "43019727"}, {"ref": "feiheng/submit-map6605", "kernel_id": "43606727"}, {"ref": "feiheng/train-map6605", "kernel_id": "43630679"}, {"ref": "feiheng/data-processing-map6605", "kernel_id": "43514448"}, {"ref": "feiheng/eda-map6605", "kernel_id": "43479024"}, {"ref": "bladeblaster/eda-final-project", "kernel_id": "44624213"}, {"ref": "sayurasankalpa/submit-map6605-sayura-senaratne", "kernel_id": "44974913"}, {"ref": "sayurasankalpa/train-map6605-sayura-senaratne", "kernel_id": "44903676"}, {"ref": "sayurasankalpa/data-processing-map6605-sayura-senaratne", "kernel_id": "44199350"}, {"ref": "sabrinahossain/sabrina-midterm", "kernel_id": "44983493"}, {"ref": "josephinegisema/submit-map6605", "kernel_id": "44858967"}, {"ref": "josephinegisema/data-processing-map6605", "kernel_id": "44356131"}, {"ref": "josephinegisema/eda-map6605", "kernel_id": "44356256"}, {"ref": "josephinegisema/train-map6605", "kernel_id": "44691143"}, {"ref": "lissadaniel/train-map6605", "kernel_id": "44898325"}, {"ref": "lissadaniel/eda-map6605", "kernel_id": "44780789"}, {"ref": "lissadaniel/data-processing-map6605", "kernel_id": "44781604"}, {"ref": "lissadaniel/submit-map6605", "kernel_id": "44981429"}, {"ref": "felixdeladjokoto/eda-map6605-c27705", "kernel_id": "44898799"}, {"ref": "felixdeladjokoto/data-processing-map6605", "kernel_id": "44894379"}, {"ref": "felixdeladjokoto/train-map6605", "kernel_id": "44936461"}, {"ref": "felixdeladjokoto/submit-map6605", "kernel_id": "44976056"}, {"ref": "syedasiftayeasmin/midterm-project-assignment", "kernel_id": "44317728"}, {"ref": "motatasher/notebook1c8bffcae6", "kernel_id": "45639023"}, {"ref": "ngwantengwei/kaggle-trial", "kernel_id": "45275353"}, {"ref": "cinsiang/data-mining-project", "kernel_id": "45673171"}, {"ref": "anwarmathdu/fin-math-midterm-project-md-anwar-hossain", "kernel_id": "45081465"}, {"ref": "brendanchamberlain/data-processing-map6605", "kernel_id": "45022345"}, {"ref": "brendanchamberlain/eda-map6605", "kernel_id": "45022176"}, {"ref": "brendanchamberlain/train-map6605", "kernel_id": "45030153"}, {"ref": "carrotwait/accelerate-your-feature-generation", "kernel_id": "48453404"}, {"ref": "mohamednageeye12/introduction-to-financial-concepts-and-data", "kernel_id": "56706296"}, {"ref": "rohitkrbose/feature-engineering-lightgbm", "kernel_id": "57174816"}, {"ref": "josepeeterson92/jper-optiver-submission", "kernel_id": "58162355"}, {"ref": "dymasyusuf/optiver-realized-volatility-prediction-dym", "kernel_id": "66197763"}, {"ref": "tplin2/notebook21edeb51eb", "kernel_id": "66669634"}, {"ref": "lagtrain/big-data-final-project", "kernel_id": "68380506"}, {"ref": "jeffersonrafael/jefferson-version-feature-engineering-lightgbm", "kernel_id": "73477876"}, {"ref": "glennjohnston/fork-of-lightgbm-submission", "kernel_id": "79713468"}, {"ref": "glennjohnston/lstm-submission", "kernel_id": "79753497"}, {"ref": "glennjohnston/lstm-submission-silent-training", "kernel_id": "79847181"}, {"ref": "geelenny/mlp-submission-feature-analysis-work", "kernel_id": "80387482"}, {"ref": "myt888/2lgbm-2nn", "kernel_id": "85507478"}, {"ref": "myt888/0928-trans-5-topn-2", "kernel_id": "85555684"}, {"ref": "myt888/public-2nd-place-solution", "kernel_id": "85497714"}, {"ref": "eltonwuu/notebookfec915201c", "kernel_id": "93059584"}, {"ref": "alexanderkireev/06-ml-trainings-cv", "kernel_id": "111043535"}, {"ref": "lalahrukh/public-2nd-place-solution", "kernel_id": "111712991"}, {"ref": "kemaldemirba/the-quant-architecture", "kernel_id": "112746684"}, {"ref": "xulinliao/optiver-rv-ipynb", "kernel_id": "113933883"}, {"ref": "vxtnvk/optiver-nn-solution", "kernel_id": "115541919"}, {"ref": "vxtnvk/optiver-nn-inference", "kernel_id": "115561349"}, {"ref": "nikitamarin2002/notebookdc294d0d3f", "kernel_id": "118834282"}, {"ref": "hasarinduperera/classical-vs-quantum-reservoir-computing", "kernel_id": "119354531"}, {"ref": "animationanimatoor/notebook229c18b29c", "kernel_id": "124258674"}, {"ref": "animationanimatoor/train-map6605", "kernel_id": "124652833"}, {"ref": "ashrafsalahedlin/optiver-realized-volatility-prediction", "kernel_id": "126058516"}, {"ref": "harpilpatel58/optiver-realized-volitillity-prediction", "kernel_id": "126400240"}, {"ref": "qqqaaavvv/optiver-rv", "kernel_id": "127645846"}, {"ref": "dmitriybykov/optiver-volatility", "kernel_id": "135575429"}]}
{"competition_id": "27236", "kernels": [{"ref": "abhishekme19b069/dl-hack-track", "kernel_id": "16270674"}]}
{"competition_id": "27257", "kernels": []}
{"competition_id": "27260", "kernels": []}
{"competition_id": "27263", "kernels": [{"ref": "tianqingfang/playground", "kernel_id": "16238140"}]}
{"competition_id": "27282", "kernels": [{"ref": "maycown/getting-started-with-fastai-and-array-data", "kernel_id": "16932842"}, {"ref": "alanmottaganem/ferexpertclass2-ann-pycaret", "kernel_id": "17751546"}, {"ref": "g99820468/ferexpertclass2", "kernel_id": "17729450"}, {"ref": "surajkumargorai/emotion-classifier-ab-inbev-v2", "kernel_id": "17545171"}]}
{"competition_id": "27289", "kernels": []}
{"competition_id": "27290", "kernels": []}
{"competition_id": "27306", "kernels": [{"ref": "amarloni/f1-score-under-sampling", "kernel_id": "16626887"}, {"ref": "juanven/churn-telefonia-movil", "kernel_id": "16682801"}]}
{"competition_id": "27312", "kernels": []}
{"competition_id": "27314", "kernels": [{"ref": "kfjack/notebook-ann-demo", "kernel_id": "16299859"}, {"ref": "kfjack/notebook-lda-demo", "kernel_id": "16277463"}]}
{"competition_id": "27318", "kernels": [{"ref": "vamshijanumpally/vamshi-janumpally", "kernel_id": "16353816"}, {"ref": "nudurupatisurya/nudurupati-surya-2", "kernel_id": "16349893"}, {"ref": "himavanthreddy2728/himavanth-reddy-approach1", "kernel_id": "16347680"}, {"ref": "anishchittigidde/anish-chittigidde", "kernel_id": "16341535"}, {"ref": "pranavpallerla/pranav-pallerla", "kernel_id": "16344875"}, {"ref": "pranithakomirishetty/pranitha", "kernel_id": "16352705"}, {"ref": "pratikpalsikar/pratik", "kernel_id": "16354296"}, {"ref": "rajinisupe/rajini-supe", "kernel_id": "16344578"}, {"ref": "rajinisupe/notebookae73952c10", "kernel_id": "16337731"}, {"ref": "priyayandamuri22/nagapriya", "kernel_id": "16356415"}, {"ref": "himavanthreddy2/himavanth-reddy-approach2", "kernel_id": "16352833"}, {"ref": "himavanthreddy3/himavanth-reddy-approach3", "kernel_id": "16375156"}, {"ref": "udaykiran18/mnist", "kernel_id": "32440815"}]}
{"competition_id": "27322", "kernels": []}
{"competition_id": "27323", "kernels": []}
{"competition_id": "27327", "kernels": []}
{"competition_id": "27333", "kernels": []}
{"competition_id": "27349", "kernels": []}
{"competition_id": "27354", "kernels": []}
{"competition_id": "27355", "kernels": []}
{"competition_id": "27356", "kernels": []}
{"competition_id": "27370", "kernels": []}
{"competition_id": "27374", "kernels": []}
{"competition_id": "27377", "kernels": []}
{"competition_id": "27379", "kernels": []}
{"competition_id": "27391", "kernels": [{"ref": "alexryzhkov/lightautoml-dsmasters", "kernel_id": "16480783"}]}
{"competition_id": "27395", "kernels": []}
{"competition_id": "27400", "kernels": [{"ref": "victorgarbuz/data-transformation", "kernel_id": "16792444"}]}
{"competition_id": "27418", "kernels": []}
{"competition_id": "27419", "kernels": [{"ref": "saztorralba/banglamoney-fastcnn", "kernel_id": "16398886"}]}
{"competition_id": "27420", "kernels": []}
{"competition_id": "27422", "kernels": [{"ref": "geilson/i2a2-2021-sentiment-analysis-bert", "kernel_id": "16947304"}, {"ref": "geilson/i2a2-2021-sentiment-analysis-glove-tensorflow", "kernel_id": "16983465"}, {"ref": "geilson/i2a2-2021-sentiment-pytorch-lstm", "kernel_id": "16898863"}, {"ref": "geilson/i2a2-2021-sentiment-analysis-preprocessing", "kernel_id": "16763942"}, {"ref": "nakanoelio/length-of-sentence", "kernel_id": "16634921"}, {"ref": "thomaswpp/analise-de-sentimento", "kernel_id": "16699344"}, {"ref": "saztorralba/reviewratingprediction-wordlstm-characterlstm", "kernel_id": "16440392"}]}
{"competition_id": "27426", "kernels": []}
{"competition_id": "27429", "kernels": []}
{"competition_id": "27434", "kernels": []}
{"competition_id": "27438", "kernels": [{"ref": "joneswack/ta-solution-getting-started", "kernel_id": "16859689"}, {"ref": "hari431996/team-7-final-challenge-3", "kernel_id": "17378088"}, {"ref": "cchetta/group-42-a", "kernel_id": "17374535"}, {"ref": "mpanar/group-6", "kernel_id": "17160457"}, {"ref": "servax314/group-3", "kernel_id": "17186415"}, {"ref": "vincenzomadaghiele/group-42-b", "kernel_id": "17065226"}, {"ref": "francescobrozzu/group-19-kernel", "kernel_id": "17376114"}, {"ref": "iversencpatrick/challenge3-team27", "kernel_id": "17283124"}, {"ref": "cartesis07/challenge-3-team-45", "kernel_id": "17171692"}, {"ref": "aydinabiar/challenge-3-sentiment-analysis", "kernel_id": "17272618"}, {"ref": "maximemichel/challenge3-group50", "kernel_id": "17127337"}, {"ref": "claraakiki/challenge3-team1", "kernel_id": "17383502"}, {"ref": "pierrepiovesan/team-23-challenge-3", "kernel_id": "17077771"}, {"ref": "mahautgrard/team10", "kernel_id": "17287112"}, {"ref": "vingt100/team-17-challenge-3-transformer", "kernel_id": "17217132"}, {"ref": "bernatgeneskrabec/pretrainedwe-team8", "kernel_id": "17058595"}, {"ref": "rostomzitoun/group-20-sentiment-analysis-notebook", "kernel_id": "17385464"}, {"ref": "anaselaissaoui/challenge-3-groupe-25", "kernel_id": "17268648"}]}
{"competition_id": "27441", "kernels": []}
{"competition_id": "27453", "kernels": []}
{"competition_id": "27460", "kernels": [{"ref": "vaishnavak001/ecg-classification-lstm", "kernel_id": "104898894"}]}
{"competition_id": "27461", "kernels": []}
{"competition_id": "27465", "kernels": []}
{"competition_id": "27467", "kernels": []}
{"competition_id": "27472", "kernels": []}
{"competition_id": "27474", "kernels": [{"ref": "plarmuseau/bitcoinlaundering-automl-h2o", "kernel_id": "16853021"}, {"ref": "gouthamsme19b017/loan-prediction", "kernel_id": "16519537"}, {"ref": "satyendrapandey16/notebookcc512a66e9", "kernel_id": "16882057"}]}
{"competition_id": "27483", "kernels": [{"ref": "kuantinglai/train-htag2vec-tf1", "kernel_id": "16621766"}, {"ref": "kuantinglai/train-devise-w-ur-htag2vec", "kernel_id": "16597198"}, {"ref": "t111448053/train-devise-w-ur-htag2vecfinal", "kernel_id": "32588157"}]}
{"competition_id": "27520", "kernels": []}
{"competition_id": "27524", "kernels": [{"ref": "alimovaa/titanic-machine-learning", "kernel_id": "76888726"}]}
{"competition_id": "27527", "kernels": []}
{"competition_id": "27528", "kernels": [{"ref": "zhidkovala/uplift-modeling-ques10", "kernel_id": "20476889"}]}
{"competition_id": "27543", "kernels": [{"ref": "alexanderbader/yet-another-ism-415", "kernel_id": "16580346"}]}
{"competition_id": "27560", "kernels": [{"ref": "bobazooba/lstm-baseline", "kernel_id": "16581650"}, {"ref": "annapalatkina/notebooka1e38bd511", "kernel_id": "33511464"}]}
{"competition_id": "27570", "kernels": []}
{"competition_id": "27575", "kernels": []}
{"competition_id": "27616", "kernels": [{"ref": "fahminlb33/spark-nlp-bert-covid-19", "kernel_id": "17166215"}, {"ref": "qiangyangk/codetest", "kernel_id": "18441473"}]}
{"competition_id": "27618", "kernels": []}
{"competition_id": "27623", "kernels": [{"ref": "easter3163/tensorflow-mnist", "kernel_id": "16591037"}, {"ref": "easter3163/solution", "kernel_id": "17075850"}]}
{"competition_id": "27624", "kernels": []}
{"competition_id": "27625", "kernels": []}
{"competition_id": "27638", "kernels": [{"ref": "joocheol/notebooka1ed184879", "kernel_id": "16625020"}]}
{"competition_id": "27639", "kernels": []}
{"competition_id": "27641", "kernels": [{"ref": "joocheol/notebook18802de81c", "kernel_id": "16646456"}, {"ref": "kunheeryu/notebook8bcb93e055", "kernel_id": "16646958"}, {"ref": "natloge/fork-of-notebook35298edccf", "kernel_id": "21644539"}]}
{"competition_id": "27643", "kernels": [{"ref": "kmldas/unextbnb-starter-notebook", "kernel_id": "16602478"}, {"ref": "kmldas/automl-unextbnb", "kernel_id": "16627459"}]}
{"competition_id": "27644", "kernels": [{"ref": "mindchen/hw7bertqafinetune", "kernel_id": "59858092"}, {"ref": "junkaih2020/hw7bertqafinetune-b87f29", "kernel_id": "60512196"}]}
{"competition_id": "27647", "kernels": []}
{"competition_id": "27655", "kernels": []}
{"competition_id": "27662", "kernels": []}
{"competition_id": "27672", "kernels": [{"ref": "yaromirshpilevskiy/flower-photos-classification-baseline", "kernel_id": "16783080"}]}
{"competition_id": "27696", "kernels": []}
{"competition_id": "27697", "kernels": []}
{"competition_id": "27700", "kernels": []}
{"competition_id": "27711", "kernels": []}
{"competition_id": "27713", "kernels": []}
{"competition_id": "27714", "kernels": []}
{"competition_id": "27719", "kernels": []}
{"competition_id": "27723", "kernels": [{"ref": "eugeneleeyonseiuic/210509-notebook-2", "kernel_id": "16857286"}, {"ref": "hanbijung/fork-of-option-pricing", "kernel_id": "16857237"}]}
{"competition_id": "27732", "kernels": []}
{"competition_id": "27734", "kernels": []}
{"competition_id": "27736", "kernels": []}
{"competition_id": "27737", "kernels": [{"ref": "yavinar/covid-ar-dataset-01-eda-feature-engineering", "kernel_id": "17153200"}, {"ref": "yavinar/covid-ar-dataset-00-helper-functions", "kernel_id": "17155506"}]}
{"competition_id": "27738", "kernels": []}
{"competition_id": "27741", "kernels": []}
{"competition_id": "27745", "kernels": []}
{"competition_id": "27747", "kernels": []}
{"competition_id": "27748", "kernels": []}
{"competition_id": "27750", "kernels": []}
{"competition_id": "27751", "kernels": []}
{"competition_id": "27753", "kernels": []}
{"competition_id": "27754", "kernels": []}
{"competition_id": "27769", "kernels": []}
{"competition_id": "27781", "kernels": []}
{"competition_id": "27782", "kernels": []}
{"competition_id": "27783", "kernels": [{"ref": "jeongyoonlee/mlb-pde-forecasting-starter-notebook-w-bug-fixes", "kernel_id": "17641328"}, {"ref": "naotaka1128/creating-unnested-dataset", "kernel_id": "17659242"}, {"ref": "arpitsolanki14/mlb-digital-engagement-data-deep-dive", "kernel_id": "17658887"}, {"ref": "datajmcn/mlb-player-digital-engagement-forecasting-eda", "kernel_id": "17690308"}, {"ref": "praveengovi/mlb-player-digi-engagement-forecasting-an-outlook", "kernel_id": "17681685"}, {"ref": "iffranciscome/mlb-players-eda-short-version", "kernel_id": "17647409"}, {"ref": "lhagiimn/mlb-ann-with-lags-pytorch-resnet", "kernel_id": "17996342"}, {"ref": "shams1/mlb-players", "kernel_id": "17665520"}, {"ref": "shams1/submission", "kernel_id": "17708925"}, {"ref": "shams1/testmlb", "kernel_id": "17720273"}, {"ref": "mlconsult/baseline-average-1-47", "kernel_id": "17675856"}, {"ref": "mlconsult/create-player-descriptive-stats-dataset", "kernel_id": "17864784"}, {"ref": "mlconsult/twitter-data-compare", "kernel_id": "17997031"}, {"ref": "mlconsult/1-38-lb-lightgbm-with-target-statistics", "kernel_id": "17991765"}, {"ref": "miklgr500/mlb-player-digital-engagement-forecasting-eda", "kernel_id": "17720421"}, {"ref": "ulrich07/baseline-model-player-mean-or-median", "kernel_id": "17642522"}, {"ref": "ulrich07/mlb-ann-with-lags-tf-keras", "kernel_id": "17754785"}, {"ref": "ryanholbrook/getting-started-with-mlb-player-digital-engagement", "kernel_id": "17534772"}, {"ref": "ryanholbrook/vertex-ai-with-mlb-player-digital-engagement", "kernel_id": "17590372"}, {"ref": "ks2019/mlb-baseline-with-truncated-validation", "kernel_id": "17644814"}, {"ref": "nicohrubec/mlb-pytorch-dnn-loop-feature-engineering", "kernel_id": "17890505"}, {"ref": "nicohrubec/unnest-train", "kernel_id": "17686708"}, {"ref": "eneszvo/mlb-comprehensive-eda", "kernel_id": "17962586"}, {"ref": "ayuraj/all-in-one-mlb-quick-eda-with-w-b-tables", "kernel_id": "17641274"}, {"ref": "jaredsavage/simple-function-to-un-nest-variables-in-r", "kernel_id": "17791014"}, {"ref": "s903124/attempt-of-reverse-engineering-target-metrics", "kernel_id": "17689794"}, {"ref": "batprem/i-cant-even-reach-my-highest-score-i-did", "kernel_id": "17884762"}, {"ref": "batprem/1-38-lb-lightgbm-with-target-statistics-modify", "kernel_id": "17997162"}, {"ref": "aladdinss/best-eda-model-prediction", "kernel_id": "17792512"}, {"ref": "nczeak/mlb-private-test-column-check-1", "kernel_id": "17803984"}, {"ref": "lys620/eda-mlb-player", "kernel_id": "17995255"}, {"ref": "amankimothi100/mlb-digital-engagement-eda", "kernel_id": "17884478"}, {"ref": "hiroshihiroshi/analysis-mlb-player-eda", "kernel_id": "17648307"}, {"ref": "hiroshihiroshi/mlb-engagement-first-load-and-check-data", "kernel_id": "17646305"}, {"ref": "etsc9287/mlb-fan-engagement-getting-started", "kernel_id": "17904896"}, {"ref": "mpwolke/home-run-players-awards", "kernel_id": "17639650"}, {"ref": "fushigen/a-simple-processing-of-json-in-train-csv", "kernel_id": "17770341"}, {"ref": "ankitsy/a-detailed-indepth-analysis", "kernel_id": "17988159"}, {"ref": "alokpattani/mlb-player-digital-engagement-data-exploration", "kernel_id": "17623717"}, {"ref": "heyytanay/mlb-eda-starter-understanding-the-competition", "kernel_id": "17636110"}, {"ref": "krishna1997gopal/baseball-eda", "kernel_id": "17642970"}, {"ref": "debojit23/mlb-eda-1-games-data-playerboxscores", "kernel_id": "17636945"}, {"ref": "columbia2131/mlb-lightgbm-starter-dataset-code-en-ja", "kernel_id": "17813378"}, {"ref": "faridhaziyev/getting-started-with-mlb-player-digital-engagement", "kernel_id": "17725763"}, {"ref": "adarshsng/mlb-data-exlained-baseline-fill-median", "kernel_id": "17685421"}, {"ref": "adarshsng/time-series-forecasting-case-study", "kernel_id": "17723122"}, {"ref": "chumajin/eda-of-mlb-for-starter-version", "kernel_id": "17651965"}, {"ref": "chumajin/eda-of-mlb-for-starter-english-ver", "kernel_id": "17657397"}, {"ref": "ruriarmandhani/mlb-forecasting-ann", "kernel_id": "17927941"}, {"ref": "tensorchoko/mlb-game-is-stating", "kernel_id": "17886113"}, {"ref": "tensorchoko/mlb-tf-keras-studing", "kernel_id": "17894578"}, {"ref": "tomokikmogura/baseline-no-ml-just-finding", "kernel_id": "17852639"}, {"ref": "tomokikmogura/unpack-json-data", "kernel_id": "17828151"}, {"ref": "padhyboi/mlb-eda", "kernel_id": "17980292"}, {"ref": "archanags001/getting-started-with-mlb-player-digital-engagement", "kernel_id": "17676513"}, {"ref": "ishandutta/mlb-indepth-eda-one-stop-for-all-your-needs", "kernel_id": "17655129"}, {"ref": "farhanhaikhan/i-love-pandas-profiling-eda-and-visualization", "kernel_id": "17643133"}, {"ref": "ranjeetshrivastav/mib-eda-xgboost", "kernel_id": "17655786"}, {"ref": "ssmohanty/submission-test", "kernel_id": "17892244"}, {"ref": "ssmohanty/mlb-baseline-xgb-model", "kernel_id": "17877155"}, {"ref": "mrigendraagrawal/mlb-eda-and-starter", "kernel_id": "17638687"}, {"ref": "xblade/mlb-player-digital-engagement-baseline", "kernel_id": "17664862"}, {"ref": "anushkrishna/mlb-eda-dataprep", "kernel_id": "17640933"}, {"ref": "toshihikok/mlb-player-digital-engagement-forecasting", "kernel_id": "17938086"}, {"ref": "leolu1998/mlb-ann-with-lags-tf-keras-best-lb", "kernel_id": "17850511"}, {"ref": "abaojiang/simple-eda-reconstruction", "kernel_id": "17703576"}, {"ref": "jordioltra/eda-mlb", "kernel_id": "17764807"}, {"ref": "yus002/var-model-tslm-practice", "kernel_id": "17666781"}, {"ref": "yus002/auto-arima-arfima-practice", "kernel_id": "17649446"}, {"ref": "jeongbinpark/mlb-player-eda", "kernel_id": "17856099"}, {"ref": "junipertitmouse/eda-of-mlb-players-with-r", "kernel_id": "17686859"}, {"ref": "junichih/mlb-baseline-median-1-45", "kernel_id": "17767139"}, {"ref": "masatouchi/eda-mlb", "kernel_id": "17709898"}, {"ref": "sinrinosekai/submit", "kernel_id": "17865490"}, {"ref": "fumiyakomatsu/explanation-of-train-csv-each-variable", "kernel_id": "17906928"}, {"ref": "fumiyakomatsu/explanation-of-train-csv-each-variable-ver", "kernel_id": "17892253"}, {"ref": "dhlongle/mlb-digital-engagement-unpack-train-csv-with-r", "kernel_id": "17742210"}, {"ref": "echozuluecho/mlb-digital-engagement-train-data-to-sqlite", "kernel_id": "17951560"}, {"ref": "wcukierski/submitting-using-mlb-module-in-r", "kernel_id": "18014332"}, {"ref": "mcw0089/submitting-using-mlb-module-in-r", "kernel_id": "18225378"}, {"ref": "brandenkmurray/mlb-predict-final", "kernel_id": "18957801"}, {"ref": "tezdhar/model-v1-tezdhar", "kernel_id": "18536400"}, {"ref": "kaito510/join-player-salary-to-players-csv", "kernel_id": "18633629"}, {"ref": "kaito510/mlbmarketscrape", "kernel_id": "18009720"}, {"ref": "kaito510/player-salary-mlb-lightgbm-starter", "kernel_id": "18730078"}, {"ref": "kaito510/sho-except-lightgbm-catboost-ann", "kernel_id": "18862042"}, {"ref": "kaito510/shohei-otani-mlb-lightgbm-starter", "kernel_id": "18826892"}, {"ref": "chinta/eda-analysis", "kernel_id": "18140887"}, {"ref": "chinta/mlb-how-are-targets-related", "kernel_id": "18560026"}, {"ref": "chinta/mlb-is-player-age-important", "kernel_id": "18550909"}, {"ref": "something4kag/submitting-using-mlb-module-in-r", "kernel_id": "18941850"}, {"ref": "aerdem4/mlb-lofo-feature-importance", "kernel_id": "18923881"}, {"ref": "lhagiimn/lightgbm-catboost-ann-2505f2", "kernel_id": "18268946"}, {"ref": "lhagiimn/ensemble-lightgbm-catboost-ann", "kernel_id": "18756916"}, {"ref": "patricolee/mlb-player-digital-eng-forecasting-simple-ann", "kernel_id": "18970201"}, {"ref": "mlconsult/1-3816-lb-lbgm-descriptive-stats-param-tune", "kernel_id": "18011209"}, {"ref": "mlconsult/1-35-lightgbm-ann", "kernel_id": "18042893"}, {"ref": "rautaki0127/lag-feature-submission-error-threw-exception-why", "kernel_id": "18325716"}, {"ref": "rautaki0127/eda-top-engagement-players-bar-chart-race-movie", "kernel_id": "18045656"}, {"ref": "superkojiro/notebook833dd224ab", "kernel_id": "18143053"}, {"ref": "ulrich07/mlb-debug-ann", "kernel_id": "18230516"}, {"ref": "ulrich07/mlb-fe-pipeline-normal-training", "kernel_id": "18135455"}, {"ref": "nyanpn/api-emulator-for-debugging-your-code-locally", "kernel_id": "18785203"}, {"ref": "nyanpn/cumcount-leakage", "kernel_id": "18901483"}, {"ref": "dschettler8845/eda-3d-baseline-rsna-glioma-radiogenomics", "kernel_id": "18583786"}, {"ref": "tarratana/submission", "kernel_id": "18721941"}, {"ref": "woosunglee0118/mlb-player-digital-engagement-forcasting", "kernel_id": "18753388"}, {"ref": "sbushman/imitation-r", "kernel_id": "18509317"}, {"ref": "omarmohamedhamed/eda-and-some-important-relationships", "kernel_id": "18359345"}, {"ref": "eneszvo/mlb-summary-ann-lightgbm-time-series-cv", "kernel_id": "18742553"}, {"ref": "iicyan/japanese-mlb-def-first-eda", "kernel_id": "18479002"}, {"ref": "batprem/trying-something-silly-this-can-be-overfitting", "kernel_id": "18083099"}, {"ref": "batprem/try-something-silly-1", "kernel_id": "18075976"}, {"ref": "batprem/try-something-silly", "kernel_id": "18086742"}, {"ref": "batprem/lightgbm-ann-weight-with-love", "kernel_id": "18003883"}, {"ref": "batprem/breakdown-columns", "kernel_id": "18004861"}, {"ref": "pritommojumder/mlb-digital-forecasting", "kernel_id": "18319241"}, {"ref": "pritommojumder/fork-of-mlb-digital-forecasting", "kernel_id": "18347185"}, {"ref": "pritommojumder/mlb-forecasting-model-xst-inference", "kernel_id": "18396815"}, {"ref": "kohiya/mlb-targetncseason-train-alldate-gbm", "kernel_id": "18789248"}, {"ref": "kohiya/mlb-targetncseason-inference-simplexgb", "kernel_id": "18781054"}, {"ref": "kohiya/mlb-targetncseason-inference-catboost", "kernel_id": "18785160"}, {"ref": "kohiya/mlb-targetncseason-inference-catboost-v2", "kernel_id": "18962484"}, {"ref": "ph0921/mlb-final-1", "kernel_id": "18957266"}, {"ref": "petrchuikov/prod-baseline", "kernel_id": "18681931"}, {"ref": "davidetedd/notebook87f79fcd5f", "kernel_id": "18683921"}, {"ref": "ricafernandes/mlb-utfpr-ai-2-project", "kernel_id": "18306225"}, {"ref": "phamthaihoangtung/mlb-lbgm-no-leakage-read-full-origin-data", "kernel_id": "18975788"}, {"ref": "garggirish/simple-ann-model-trial-version-mlb", "kernel_id": "18344229"}, {"ref": "deepkun1995/july-ver2-final", "kernel_id": "18966816"}, {"ref": "debojit23/mlb-sabermetrics-batting-and-pitching-stats", "kernel_id": "18411480"}, {"ref": "debojit23/baseball-field-structure-matplotlib", "kernel_id": "18124512"}, {"ref": "debojit23/mlb-events-features", "kernel_id": "18859702"}, {"ref": "tea0925ds/mlb-targetenc-season-train", "kernel_id": "18315515"}, {"ref": "tea0925ds/mlb-targetenc-season-inference", "kernel_id": "18456826"}, {"ref": "chumajin/22th-solution-english", "kernel_id": "18997564"}, {"ref": "ruriarmandhani/mlb-submission", "kernel_id": "18000454"}, {"ref": "ruriarmandhani/mlb-forecasting-lightgbm", "kernel_id": "18769980"}, {"ref": "yingzhou0510/explanatory-analysis-using-random-forest", "kernel_id": "18914219"}, {"ref": "zacchaeus/mlb-parse-new-train-data", "kernel_id": "18737368"}, {"ref": "zacchaeus/mlb-api-emulator-with-scoring", "kernel_id": "18879924"}, {"ref": "tensorchoko/mlb-player-lightgbm", "kernel_id": "18069303"}, {"ref": "tensorchoko/mlb-player-lightgbmx", "kernel_id": "18120658"}, {"ref": "mrutyunjaybiswal/mlb-create-unpacked-dataset-from-train", "kernel_id": "18443231"}, {"ref": "junyang680/mlb-baseline", "kernel_id": "18597190"}, {"ref": "fabienbenot/mlb-player", "kernel_id": "18613243"}, {"ref": "assign/debug-others-mlb-fe-pipeline-normal-training", "kernel_id": "18219746"}, {"ref": "shayansheikhakbari/2nd-asset", "kernel_id": "18345669"}, {"ref": "shayansheikhakbari/1st-asset", "kernel_id": "18492120"}, {"ref": "joshspchang/lightgbm-mlb-player-engagement-prediction-final", "kernel_id": "18891314"}, {"ref": "joshspchang/lightgbm-mlb-player-engagement-prediction", "kernel_id": "18660632"}, {"ref": "ryosukesaito/insights-of-mlb-engagement-lag-mse", "kernel_id": "18923487"}, {"ref": "tatsuyoshi/notebookeecca8fb08", "kernel_id": "18110959"}, {"ref": "somayyehgholami/fork-of-lightgbm-catboost-ann-2505f2", "kernel_id": "18548589"}, {"ref": "mrigendraagrawal/fork-of-1-35-lightgbm-ann-2505f2", "kernel_id": "18061508"}, {"ref": "hrishitaghosh/notebook272d76af3c", "kernel_id": "18001846"}, {"ref": "teyosan1229/what-is-calendarfourier", "kernel_id": "18094766"}, {"ref": "richieedata/fork-of-lightgbm-catboost-ann-2505f2", "kernel_id": "18763460"}, {"ref": "krishnamore/simple-ann-mlb-player-digital-engagement", "kernel_id": "18622075"}, {"ref": "aicssu/csfinal", "kernel_id": "18800100"}, {"ref": "leolu1998/without-may-mlb-inference-lightgbm-catboost-ann", "kernel_id": "18783793"}, {"ref": "leolu1998/mlb-catboost-training", "kernel_id": "18745787"}, {"ref": "leolu1998/mlb-lightgbm-training", "kernel_id": "18721579"}, {"ref": "shritech1404/mlb-player-digital-engagement-forecasting", "kernel_id": "18240606"}, {"ref": "jleonbatulayan/mlbforcasting07142021", "kernel_id": "18577261"}, {"ref": "kohashi0000/1-36-simple-lightgbm", "kernel_id": "18598994"}, {"ref": "masamori/lightgbm-catboost-ann", "kernel_id": "18870876"}, {"ref": "genius99/lhlscs", "kernel_id": "18960518"}, {"ref": "rachidrahal/notebookce5f7e9cef", "kernel_id": "18741045"}, {"ref": "zhexinjiang/fork-of-lightgbm-catboost-ann-2505f2", "kernel_id": "18648666"}, {"ref": "hijest/3rd-place-solution-mlb-explainability-prize", "kernel_id": "18244839"}, {"ref": "ysovpi/1-36-simple-lightgbm", "kernel_id": "18955651"}, {"ref": "developerjun/roster-targets-features-relation", "kernel_id": "18259959"}, {"ref": "developerjun/games-targets-corr", "kernel_id": "18296137"}, {"ref": "developerjun/playerboxscores-targets-correlation", "kernel_id": "18297190"}, {"ref": "developerjun/transactions-targets-correlation", "kernel_id": "18326922"}, {"ref": "developerjun/what-is-targets-mean", "kernel_id": "18135661"}, {"ref": "pablocarb/mezcla", "kernel_id": "18235445"}, {"ref": "kgeve1/adv-weight", "kernel_id": "18611448"}, {"ref": "echozuluecho/mlb-simple-model-using-player-ages", "kernel_id": "18235162"}, {"ref": "jaesukchoi/mlb-player", "kernel_id": "18443224"}, {"ref": "orca117/data-from-kaggle-to-g-drive-using-colab", "kernel_id": "18335292"}, {"ref": "makanufilms/fork-of-mlb-digital-forecasting", "kernel_id": "18406702"}, {"ref": "maron5/mlb-lightgbm-starting", "kernel_id": "18845126"}, {"ref": "gecb1609/digital-engagement-forecasting", "kernel_id": "19236254"}, {"ref": "stadtfruss/predict-targets-with-other-ones-score-about-1-35", "kernel_id": "19259672"}, {"ref": "marktenenholtz/mlb-rnn-transformer-final-public", "kernel_id": "19095215"}, {"ref": "teyosan1229/mlb-pub16th-leakage-pri-lgbm", "kernel_id": "19051813"}, {"ref": "nyanpn/post-competition-analysis-events-vs-target", "kernel_id": "20622923"}, {"ref": "nyanpn/3rd-place-solution-inference-only", "kernel_id": "20430736"}, {"ref": "amiteshgangrade/simple-lgbm", "kernel_id": "20374304"}, {"ref": "hijest/17th-place-solution-mlb", "kernel_id": "20084697"}, {"ref": "chinta/eda-analysis-large-heatmaps", "kernel_id": "21249624"}, {"ref": "mesofianeyou/spaceship-titanic-eda-fi-80-of-accuracy", "kernel_id": "27760851"}, {"ref": "haramee/mlb-player-award-country-follower", "kernel_id": "33169624"}, {"ref": "fauzanmohammed/mlb-forcasting", "kernel_id": "34228822"}, {"ref": "julianacarvalho/mlb-player-digital-engagement-data-exploration", "kernel_id": "35573064"}, {"ref": "lviameinhardt/precipitation-classification", "kernel_id": "37504358"}, {"ref": "moromoromoro/kaggle-mlb-environment", "kernel_id": "50875165"}, {"ref": "ryotabannai/mlb-forcasting", "kernel_id": "50984314"}, {"ref": "tanakataro73/kaggle-book-morohashi-08-mlb-engagement", "kernel_id": "54835905"}, {"ref": "jamiharju/mlb-lightgbm-starter-dataset-code-en-ja", "kernel_id": "84579578"}, {"ref": "runxuanconnieliu/mlb-digital-engagement-forecasting-with-prophet", "kernel_id": "104815283"}]}
{"competition_id": "27784", "kernels": [{"ref": "joocheol/notebook6bd4f92181", "kernel_id": "16826225"}, {"ref": "parksujieconomics/notebookdc33eae74e", "kernel_id": "16854762"}, {"ref": "natloge/fork-of-notebook9410c5ae3d", "kernel_id": "21644598"}]}
{"competition_id": "27800", "kernels": []}
{"competition_id": "27809", "kernels": []}
{"competition_id": "27810", "kernels": []}
{"competition_id": "27825", "kernels": []}
{"competition_id": "27835", "kernels": [{"ref": "stormcloser/fruits-categorical-resnet101v2", "kernel_id": "16985499"}, {"ref": "shafinulhaque/notebookdbaf4bd90a", "kernel_id": "16894726"}, {"ref": "almastohi/id53-fruits-categorical-resnet101v2", "kernel_id": "50854775"}, {"ref": "ayaeyad/efficientnetb0-fruitclassification", "kernel_id": "51002198"}]}
{"competition_id": "27838", "kernels": []}
{"competition_id": "27842", "kernels": []}
{"competition_id": "27843", "kernels": []}
{"competition_id": "27847", "kernels": []}
{"competition_id": "27857", "kernels": []}
{"competition_id": "27859", "kernels": []}
{"competition_id": "27864", "kernels": []}
{"competition_id": "27870", "kernels": []}
{"competition_id": "27871", "kernels": []}
{"competition_id": "27878", "kernels": []}
{"competition_id": "27887", "kernels": []}
{"competition_id": "27891", "kernels": []}
{"competition_id": "27904", "kernels": []}
{"competition_id": "27906", "kernels": [{"ref": "nichaoku/baseline-logistic-regression", "kernel_id": "16964527"}]}
{"competition_id": "27907", "kernels": [{"ref": "sword10086/datareader", "kernel_id": "17073530"}]}
{"competition_id": "27920", "kernels": [{"ref": "baraaahmed/notebook6e2fb991b1", "kernel_id": "17864964"}, {"ref": "girgismicheal/can-you-predict-the-startup-industry-competition", "kernel_id": "29926975"}]}
{"competition_id": "27923", "kernels": [{"ref": "subinek/detailed-data-visualization-for-beignners", "kernel_id": "26342343"}, {"ref": "rbhadra/annotations-with-motion-using-mri-slices", "kernel_id": "26494207"}, {"ref": "fnands/uwmgi-levit-unet-baseline", "kernel_id": "26948420"}, {"ref": "fnands/uwmgi-levit-unet-baseline-infer", "kernel_id": "26956542"}, {"ref": "sumitjha19/uwmg-inference-pipeline-efficientnet-unet-pytorch", "kernel_id": "26801247"}, {"ref": "sumitjha19/eda-image-mask-with-video-from-stack-of-slices", "kernel_id": "26286570"}, {"ref": "yiheng/50-times-faster-way-get-hausdorff-with-monai", "kernel_id": "26526580"}, {"ref": "purplejester/fast-ai-01-basic-segmentation-model-training", "kernel_id": "26675517"}, {"ref": "purplejester/fast-ai-02-histogram-equalization", "kernel_id": "26776922"}, {"ref": "purplejester/fast-ai-04-segmentation-model-inference", "kernel_id": "26917049"}, {"ref": "purplejester/smoke-test-kernel-debugging-failing-submissions", "kernel_id": "26914230"}, {"ref": "fabiendaniel/image-with-masks-quick-overview", "kernel_id": "26279748"}, {"ref": "rnepal2/gi-tract-image-segmentation", "kernel_id": "26294195"}, {"ref": "vineethakkinapalli/uw-madison-gi-tract-detectron2-train", "kernel_id": "26598516"}, {"ref": "vineethakkinapalli/uw-madison-gi-tract-coco-dataset", "kernel_id": "26603293"}, {"ref": "rerere/wip-uwmgit-eda", "kernel_id": "26525861"}, {"ref": "bsridatta/eda-for-a-healthy-gi-tract", "kernel_id": "26281556"}, {"ref": "dschettler8845/visual-guide-to-understanding-segmentation-metrics", "kernel_id": "26462051"}, {"ref": "dschettler8845/uwmgit-deeplabv3-w-se-aspp-tf-e2e-pipeline", "kernel_id": "26399408"}, {"ref": "dschettler8845/rle-checker", "kernel_id": "26403813"}, {"ref": "dschettler8845/uwmgit-deeplabv3-end-to-end-pipeline-tf", "kernel_id": "26315887"}, {"ref": "dschettler8845/tf-decode-bug-reproduction", "kernel_id": "26346490"}, {"ref": "dschettler8845/uwm-gi-tract-image-segmentation-eda", "kernel_id": "26287092"}, {"ref": "dschettler8845/uwm-gi-tract-image-segmentation-basic-submission", "kernel_id": "26294461"}, {"ref": "jsxyhelu2019/uwmgit-infer-pytorch-fastai", "kernel_id": "26409654"}, {"ref": "jsxyhelu2019/uwmgit-datapreparation-pytorch-fastai", "kernel_id": "26272275"}, {"ref": "jsxyhelu2019/uwmgit-train-pytorch-fastai", "kernel_id": "26915107"}, {"ref": "jsxyhelu2019/fastai-unet-train-tpu-fastai", "kernel_id": "26976551"}, {"ref": "samir95/fastai-unet-infer", "kernel_id": "26843414"}, {"ref": "samir95/to-squish-or-to-pad-a-little-insight-about-resize", "kernel_id": "26969966"}, {"ref": "ayuraj/quick-data-eda-segmentation-viz-using-w-b", "kernel_id": "26286184"}, {"ref": "pranavjadhav/infer", "kernel_id": "26949418"}, {"ref": "gtownfoster/uwmgi-yolov5-train", "kernel_id": "26896107"}, {"ref": "mohanrobotics/cocoformat-dataset-creation-instance-segmentation", "kernel_id": "26415245"}, {"ref": "gunesevitan/uw-madison-gi-tract-image-segmentation-eda", "kernel_id": "26276953"}, {"ref": "tt195361/uwmgi-image-segmentation-eda", "kernel_id": "26785986"}, {"ref": "tt195361/uwmgi-image-segmentation-training", "kernel_id": "26839489"}, {"ref": "tt195361/uwmgi-image-segmentation-make-tfrecords", "kernel_id": "26910924"}, {"ref": "phanttan/uwm-gi-tract-image-segmentation-eda", "kernel_id": "26463467"}, {"ref": "carnozhao/tract-competiton-metrics", "kernel_id": "26436951"}, {"ref": "carnozhao/uwmgit-mmsegmentation-end-to-end-submission", "kernel_id": "26907270"}, {"ref": "frlemarchand/generate-mri-slices-from-all-anatomical-planes", "kernel_id": "26660876"}, {"ref": "mpwolke/uw-madison-ccc-efficientnet-b0", "kernel_id": "26296221"}, {"ref": "bhavesh0124/uwmgi-processing-and-visualization", "kernel_id": "26506573"}, {"ref": "andradaolteanu/aw-madison-eda-in-depth-mask-exploration", "kernel_id": "26746174"}, {"ref": "awsaf49/uwmgi-2-5d-tfrecord-data", "kernel_id": "26839757"}, {"ref": "awsaf49/uwmgi-mmdetection-train", "kernel_id": "26686019"}, {"ref": "awsaf49/uwmgi-2-5d-train-pytorch", "kernel_id": "26746199"}, {"ref": "awsaf49/uwmgi-2-5d-infer-pytorch", "kernel_id": "26745076"}, {"ref": "awsaf49/uwmgi-2-5d-stride-2-data", "kernel_id": "26720445"}, {"ref": "awsaf49/uwmgi-mask-data", "kernel_id": "26275019"}, {"ref": "awsaf49/uwmgi-unet-train-pytorch", "kernel_id": "26392129"}, {"ref": "awsaf49/uwmgi-unet-infer-pytorch", "kernel_id": "26408762"}, {"ref": "dinowun/eda-simplified-uwm-gi-tract-segmentation-w-w-b", "kernel_id": "26325260"}, {"ref": "gbalachandhiran/demystify-image-segmentation-from-scratch", "kernel_id": "26992904"}, {"ref": "sadivamadaan/basic-submission", "kernel_id": "26429739"}, {"ref": "sadivamadaan/fastai-unet-starter", "kernel_id": "26972844"}, {"ref": "mainak15071993/gi-tract-dataprep", "kernel_id": "26742190"}, {"ref": "debarshichanda/5-fold-coco-dataset", "kernel_id": "26284250"}, {"ref": "jirkaborovec/tract-segm-statistic-predictions", "kernel_id": "26541656"}, {"ref": "jirkaborovec/tract-segm-eda-3d-interactive-viewer", "kernel_id": "26463183"}, {"ref": "jirkaborovec/tract-segm-eda-flash-deeplab-albumentation", "kernel_id": "26500968"}, {"ref": "jirkaborovec/tract-segm-fake-predictions", "kernel_id": "26518663"}, {"ref": "jirkaborovec/tract-segm-lightning-flash-inference", "kernel_id": "26667378"}, {"ref": "sagnik1511/uwmgit-data-preparation-from-scratch", "kernel_id": "26785423"}, {"ref": "mohammaddehghan/pytorch-dataloader-and-visualize", "kernel_id": "26289039"}, {"ref": "outwrest/eda-dataset-common-empty-labels", "kernel_id": "26751339"}, {"ref": "outwrest/create-gifs-of-medical-3d-images", "kernel_id": "26301787"}, {"ref": "outwrest/fork-of-basic-solution-simple-improvement", "kernel_id": "26368254"}, {"ref": "mushfirat/gi-tract-image-segmentation-visualization", "kernel_id": "26278689"}, {"ref": "ammarnassanalhajali/uwmgi-unet-pytorch-train-with-eda", "kernel_id": "26716935"}, {"ref": "ammarnassanalhajali/uwmgi-detectron2-training", "kernel_id": "26451776"}, {"ref": "ammarnassanalhajali/uwmgi-k-fold-cv-coco-dataset-generator", "kernel_id": "26473557"}, {"ref": "ammarnassanalhajali/uwmgi-unet-keras-train-with-eda", "kernel_id": "26474941"}, {"ref": "ammarnassanalhajali/uwmgi-unet-keras-inference", "kernel_id": "26500028"}, {"ref": "ilinpavel/unet-based", "kernel_id": "26895892"}, {"ref": "alexvergara/first-steps-uw-madison-gi-tract-image-segmentation", "kernel_id": "26575369"}, {"ref": "qtieeee/unet-resnet-pytorch-train-with-eda", "kernel_id": "26980628"}, {"ref": "priyanagda/getting-started-understanding-data", "kernel_id": "26983272"}, {"ref": "zocainviken/case-analysing-gif", "kernel_id": "26609446"}, {"ref": "zocainviken/gi-tract-image-dataexploratory", "kernel_id": "26450921"}, {"ref": "masatomurakawamm/uwmgi-pspnet-u-net-deeplabv3-swin-unet", "kernel_id": "26495734"}, {"ref": "michaelrocchio/keras-transformer-serious-work-in-progress", "kernel_id": "26515194"}, {"ref": "vexxingbanana/gi-tract-2d-approach-mmdetection-training", "kernel_id": "26312450"}, {"ref": "vexxingbanana/gi-tract-2d-approach-coco-dataset", "kernel_id": "26295637"}, {"ref": "ghrangel/plot-images-image-segmentation", "kernel_id": "26290931"}, {"ref": "jay2333/display-images-with-mask", "kernel_id": "26284111"}, {"ref": "lunapandachan/uwm-eda", "kernel_id": "26715009"}, {"ref": "clemchris/gi-seg-prepare-numpy-masks", "kernel_id": "26469511"}, {"ref": "clemchris/gi-seg-pytorch-train-infer", "kernel_id": "26472258"}, {"ref": "clemchris/gi-seg-downloads", "kernel_id": "26476421"}, {"ref": "clemchris/gi-seg-pytorch-monai-3d-train-infer", "kernel_id": "26932313"}, {"ref": "naokisugimura/uwmgit-show-image-unet-train", "kernel_id": "26522624"}, {"ref": "albertomartingarrido/tract-image-segmentation-data-analysis", "kernel_id": "26362882"}, {"ref": "samuelcortinhas/uwmgi-segmentation-unet-keras-inference", "kernel_id": "26696846"}, {"ref": "samuelcortinhas/uwmgi-segmentation-unet-keras-train", "kernel_id": "26691842"}, {"ref": "samuelcortinhas/gi-tract-image-segmentation-3d-gif-tool", "kernel_id": "26525379"}, {"ref": "salmanahmedtamu/pytorch-unet-efficientnet-b1", "kernel_id": "26391160"}, {"ref": "salmanahmedtamu/pytorch-deeplab-v3-plus-multiple-loss-2-folds", "kernel_id": "26510575"}, {"ref": "salmanahmedtamu/deeplab-v3-pytorch-training-notebook-0-837", "kernel_id": "26514600"}, {"ref": "abhishek123maurya/1-visualization-and-decoding-rle", "kernel_id": "26325389"}, {"ref": "syzygyfy/all-class-overlay-visualization-with-pycocotools", "kernel_id": "26393044"}, {"ref": "jichenli627/unet-simple-keras", "kernel_id": "26594699"}, {"ref": "cbeaud/uwmgit-deeplabv3-w-se-aspp-tf-e2e-pipeline", "kernel_id": "26425777"}, {"ref": "yiheng/3d-solution-with-monai-infer", "kernel_id": "27133081"}, {"ref": "yiheng/3d-solution-with-monai-produce-3d-data", "kernel_id": "27136901"}, {"ref": "purplejester/uwm-gi-tract-image-segmentation-basic-submission", "kernel_id": "27005517"}, {"ref": "purplejester/uwm-5ch-inference", "kernel_id": "27970984"}, {"ref": "abose550/unet-resnetbackbone-inference", "kernel_id": "27225076"}, {"ref": "jasonprasad/uwmgtis-training-dataset-tfrecord", "kernel_id": "27109911"}, {"ref": "anushreedhar/uw-madison-keraseffnetwithkfold", "kernel_id": "27556820"}, {"ref": "anushreedhar/uw-madisonchallenge-keraseffnet", "kernel_id": "27425188"}, {"ref": "dalalmanish/madi-v2", "kernel_id": "27363675"}, {"ref": "dragonslayer01/transformation-v1", "kernel_id": "27542297"}, {"ref": "dragonslayer01/levit-submit", "kernel_id": "27766804"}, {"ref": "akshatpathak/uw-madison-gi-tract-image-segmentation", "kernel_id": "27026065"}, {"ref": "srikantjyrmn/gitract-image-segmentation", "kernel_id": "27802551"}, {"ref": "utm529fg/eda-umwgi-mask", "kernel_id": "27532067"}, {"ref": "utm529fg/eda-uwmgi", "kernel_id": "27872987"}, {"ref": "utm529fg/eda-umwgi-xz-yz-slice", "kernel_id": "27871843"}, {"ref": "utm529fg/eng-umwgi-35-incorrect-mask-data", "kernel_id": "27982567"}, {"ref": "utm529fg/eda-umwgi-brightness", "kernel_id": "27980695"}, {"ref": "muratter/uw-madison-01", "kernel_id": "27265926"}, {"ref": "arunamenon/image-segmentation-mask-r-cnn-infer", "kernel_id": "27117358"}, {"ref": "arunamenon/image-segmentation-eda-mask-r-cnn-train", "kernel_id": "27075935"}, {"ref": "jsxyhelu2019/fastai-unet-infer-dcc180", "kernel_id": "27183115"}, {"ref": "samir95/uw-madison-with-fastai-a-gentle-walkthrough", "kernel_id": "27777523"}, {"ref": "faheemkhaskheli9/uw-gi-track-segmentation", "kernel_id": "27048857"}, {"ref": "tt195361/uwmgi-image-segmentation-inference", "kernel_id": "27067910"}, {"ref": "jitensharma597/unet-training-model-tracking-with-wandb", "kernel_id": "27592588"}, {"ref": "jitensharma597/uwmgi-4models-inference-2-5d", "kernel_id": "27660440"}, {"ref": "jitensharma597/uwmgi-2-5d", "kernel_id": "27678175"}, {"ref": "takeajioka/unetr-inference-submission-3-labels-raw-size", "kernel_id": "27031469"}, {"ref": "quandapro/uw-3d-model", "kernel_id": "27837984"}, {"ref": "p4rallax/uwmgit-mmsegmentation-inference", "kernel_id": "27026904"}, {"ref": "bhavesh0124/pytorch-uwmgi-deepv3", "kernel_id": "27082671"}, {"ref": "sinamhd9/making-3d-volumes-and-save-as-npy", "kernel_id": "27980022"}, {"ref": "awsaf49/uwmgi-transunet-2-5d-train-tf", "kernel_id": "27165485"}, {"ref": "meenakshiramaswamy/npy2nii-latest", "kernel_id": "27160803"}, {"ref": "adnanpen/unet-from-scratch", "kernel_id": "27185622"}, {"ref": "zekaili/eda-and-helper-functions", "kernel_id": "27521806"}, {"ref": "pushpapandey/uwmgi-2-5d-train-fpn-fold-2", "kernel_id": "27739888"}, {"ref": "pushpapandey/uwmgi-2-5d-train-fpn-fold-1", "kernel_id": "27713928"}, {"ref": "pushpapandey/uwmgi-2-5d-train-fpn-fold-0", "kernel_id": "27684075"}, {"ref": "gbalachandhiran/efficientb7-unet-inference", "kernel_id": "27806834"}, {"ref": "caomaobin/uw-madison-data-incorrect-in-case7day0", "kernel_id": "27892839"}, {"ref": "israrahmed919/createmasksopencv", "kernel_id": "27095527"}, {"ref": "israrahmed919/simple-preprocessingtraincsv", "kernel_id": "27032440"}, {"ref": "animeshmaheshwari/uwmgi-2-5d-train-pytorch-dd4d05", "kernel_id": "27846166"}, {"ref": "jirkaborovec/tract-segm-baseline-flash-unet-albumentation", "kernel_id": "27131210"}, {"ref": "mohammaddehghan/pytorch-extracting-intermediate-layer-outputs", "kernel_id": "27269272"}, {"ref": "romamartyanov/uwmgi-smp-unet-2-5d-infer", "kernel_id": "27254445"}, {"ref": "romamartyanov/uwmgi-smp-unet-2-5d-train", "kernel_id": "27253840"}, {"ref": "romamartyanov/uwmgi-2-5d-stride-2-data-step-2-0-2", "kernel_id": "27177212"}, {"ref": "tarequebasharovi/uwmgit-squeeze-excitation-deeplabv3", "kernel_id": "27138854"}, {"ref": "vbhtib/uw-madison-gi-tract-image-segmentation", "kernel_id": "27702463"}, {"ref": "romanstatkevych/expansion-rate-k-fold-inference", "kernel_id": "27175723"}, {"ref": "anefimo/uwmgit-mmsegmentation-end-to-end-submission", "kernel_id": "27996671"}, {"ref": "chandlertimm/uwmgi-unet-inference", "kernel_id": "27820682"}, {"ref": "chandlertimm/uwmgi-unet-training", "kernel_id": "27805822"}, {"ref": "pear2jam/uwmaddison", "kernel_id": "27773049"}, {"ref": "fismoilo/gi-tract-image-segmentation-setup-visualization", "kernel_id": "27761304"}, {"ref": "juanpb27/image-segmentation-project", "kernel_id": "27682360"}, {"ref": "yoshoo/wrong-annotation", "kernel_id": "27952680"}, {"ref": "meghnareddys/uwmgi-segmentation", "kernel_id": "27999169"}, {"ref": "haha6ybisme/uwmgi-3d-data", "kernel_id": "27886497"}, {"ref": "shristi13sri/gi-tract-image-segmentation-setup-visualization", "kernel_id": "27321294"}, {"ref": "ismailazdad/keras-coco-inference2", "kernel_id": "27699947"}, {"ref": "ismailazdad/keras-unet-coco-training", "kernel_id": "27694869"}, {"ref": "ismailazdad/keras-prepare-coco-and-analyse", "kernel_id": "27342764"}, {"ref": "josephwei/uwmgi-segmentation-by-pytorch", "kernel_id": "27753611"}, {"ref": "timophilipp/wds20a-or-gi-tract-image-segmentation", "kernel_id": "27845541"}, {"ref": "kaichixie/image-segmentation-uw-madison-gi-tract", "kernel_id": "27177891"}, {"ref": "kaichixie/pytorch-uw-madison-image-seg", "kernel_id": "27532687"}, {"ref": "hatokgl/submit-uuwmgi", "kernel_id": "27653837"}, {"ref": "jasonsfu/uwmgi-use-unet-to-train-a-segmentation-model", "kernel_id": "27744320"}, {"ref": "jasonsfu/uwmgi-self-defined-unet-struc-pytorch-train-jason", "kernel_id": "27763124"}, {"ref": "jasonsfu/uwmgi-unet-pytorch-inference-jason", "kernel_id": "27877140"}, {"ref": "maryiaznak/mri-scans-segmentation-keras-unet", "kernel_id": "27879839"}, {"ref": "roshandaniel1208/notebookc8e5900fe6", "kernel_id": "27820405"}, {"ref": "shaishjain/transformation-v1", "kernel_id": "27405094"}, {"ref": "samuelcortinhas/case-study-u-net-from-scratch", "kernel_id": "27847823"}, {"ref": "zxj2323/3d-solution-with-monai-infer", "kernel_id": "27964551"}, {"ref": "benoitdacosta/uwmgtis-keras-train-01", "kernel_id": "27133111"}, {"ref": "benoitdacosta/uwmgtis-keras-infer-01", "kernel_id": "27133148"}, {"ref": "benoitdacosta/uwmgtis-keras-train-02", "kernel_id": "27148261"}, {"ref": "benoitdacosta/uwmgtis-keras-infer-02", "kernel_id": "27148247"}, {"ref": "benoitdacosta/uwmgtis-keras-train-03", "kernel_id": "27195453"}, {"ref": "benoitdacosta/uwmgtis-keras-infer-03", "kernel_id": "27196207"}, {"ref": "jlcordoba/uw-madison-gi-track-data-analysis", "kernel_id": "27426981"}, {"ref": "salmanahmedtamu/2-5d-cropped-b5-1-fold", "kernel_id": "27720164"}, {"ref": "huyidao/uwmgi-infer-exp010-7", "kernel_id": "27603336"}, {"ref": "rajatharigasp/gi-tract-2", "kernel_id": "27156785"}, {"ref": "naifaganadily/uw-image-first", "kernel_id": "27243804"}, {"ref": "lezilv/2d-solution-with-monai", "kernel_id": "27415636"}, {"ref": "lvgang623/2d-solution-with-monai", "kernel_id": "27464332"}, {"ref": "zhangqing123/tract-segm-baseline-flash-unet-albumentation", "kernel_id": "27591680"}, {"ref": "usharengaraju/tensorflow-unetr-w-b", "kernel_id": "28047398"}, {"ref": "purplejester/fast-ai-05-building-a-bronze-medal-solution", "kernel_id": "28950621"}, {"ref": "takuok/uwmclone", "kernel_id": "28631830"}, {"ref": "andy2709/3d-and-2-5d", "kernel_id": "28628684"}, {"ref": "andy2709/fork-of-best-public-kernel-ef10e0", "kernel_id": "28644452"}, {"ref": "dragonslayer01/unetr-train", "kernel_id": "28128508"}, {"ref": "dragonslayer01/levit-train-on-all-folds", "kernel_id": "28142760"}, {"ref": "dschettler8845/mcsai-exploratory-data-analysis-baseline", "kernel_id": "28572285"}, {"ref": "utm529fg/eng-umwgi-animation-of-3d-mask-image", "kernel_id": "28217685"}, {"ref": "yingpengchen/uwmgit-nnunet-3d-inference", "kernel_id": "28200998"}, {"ref": "yingpengchen/uwmgit-nnunet-3d-training", "kernel_id": "28175768"}, {"ref": "hemanth012/levit-train-on-normalized-data", "kernel_id": "28148478"}, {"ref": "juhjoo/uw-madison-gi-tract-inference", "kernel_id": "28753849"}, {"ref": "juhjoo/uw-madison-gi-tract-dataset-tfrecords", "kernel_id": "28457910"}, {"ref": "quadeer15sh/uwmgi-minimalist-data-preparation", "kernel_id": "28391638"}, {"ref": "carnozhao/1st-place-winning-solution", "kernel_id": "28534375"}, {"ref": "folefac/denoising-diffusion-models-with-tensorflow", "kernel_id": "28161534"}, {"ref": "jitensharma597/uwmgi-transunet-keras-train", "kernel_id": "28161481"}, {"ref": "phamthaihoangtung/uwm-3d-monai-mmseg-v2-infer", "kernel_id": "28666055"}, {"ref": "quandapro/tensorflow-dice-coef-with-ignore-empty", "kernel_id": "28319348"}, {"ref": "parhamzm/uwmgi-unet-train-pytorch", "kernel_id": "28115652"}, {"ref": "dmitry999/uw-competition-new", "kernel_id": "28106069"}, {"ref": "hideyukizushi/uw-inf-single-3-0d-c120-x224", "kernel_id": "28756307"}, {"ref": "hideyukizushi/uw-inf-single-3-0d-a600-infx384", "kernel_id": "28737395"}, {"ref": "shrutimurarka/uw-infer-keras", "kernel_id": "28301900"}, {"ref": "allanyiinai/madison-gi-tract-image-segmentation", "kernel_id": "28357184"}, {"ref": "raghu06/uwmgi-segmentation-firefox", "kernel_id": "28056532"}, {"ref": "raghu06/test-eval", "kernel_id": "28097825"}, {"ref": "louieshao/3dfinalensemble", "kernel_id": "28686122"}, {"ref": "sanchitvj/3-tb8-folds-rsn-tb8scse-b7folds", "kernel_id": "28357778"}, {"ref": "anefimo/notebook40aeaf428a", "kernel_id": "28090392"}, {"ref": "hyunwoo2/uw-madision-gl-tract-image-segmentation-submission", "kernel_id": "28568290"}, {"ref": "atmguille/uw-madison-43rd-cv-strategy-77-in-private", "kernel_id": "28764361"}, {"ref": "atmguille/uw-madison-43rd-place-intelligent-cropping", "kernel_id": "28777051"}, {"ref": "goelyash/3d-solution-with-monai", "kernel_id": "28321556"}, {"ref": "chenrobert1975/madison-gi-tract-image-segmentation", "kernel_id": "28525925"}, {"ref": "timophilipp/wds20a-gi-trakt-segmentation-with-monai", "kernel_id": "28154801"}, {"ref": "rm1000/improved-monai-ensemble-weights", "kernel_id": "28729099"}, {"ref": "roshandaniel1208/uct-final-notebook", "kernel_id": "28325055"}, {"ref": "arunimbasak/uwmgi-2-5d-data-training-using-unet", "kernel_id": "28785962"}, {"ref": "koushikpg667/deep-lab-v3-custom-new", "kernel_id": "28091057"}, {"ref": "vanxin074076/competition-segmentation", "kernel_id": "28378174"}, {"ref": "stevenzhili/notebook4d20e9461e", "kernel_id": "28765429"}, {"ref": "li104169/uwmgtis-keras-infer-02", "kernel_id": "28138556"}, {"ref": "yixuliu/3d-solution-with-monai-ensemble-weights", "kernel_id": "28555728"}, {"ref": "sandrayacoub/organise-training-data-revised", "kernel_id": "28644149"}, {"ref": "harshitkmr/unetplusplus-timm-regnety008", "kernel_id": "28391492"}, {"ref": "ddcddmm/end-to-end-submission", "kernel_id": "28457049"}, {"ref": "cbeaud/3d-solution-with-monai-ensemble-weights", "kernel_id": "28535553"}, {"ref": "meghnareddyy/pspnet-image-segmentation", "kernel_id": "28229612"}, {"ref": "michaeljohnson88/scalian-gitract-segmentation", "kernel_id": "28615851"}, {"ref": "sathyanarayanrao89/simplistic-visualization-of-mri-data", "kernel_id": "28308452"}, {"ref": "patronusseeker/norm-v2pytorchinfer-unet", "kernel_id": "28118523"}, {"ref": "raghus06/uwmgi-segmentation-chrome", "kernel_id": "28093122"}, {"ref": "raghuselvam/uwmgi-segmentation-safari", "kernel_id": "28090383"}, {"ref": "vjestica/fpn-effnetb4-2-5d", "kernel_id": "28347830"}, {"ref": "vjestica/fpn-hfvf-2-5d", "kernel_id": "28502310"}, {"ref": "takuok/2nd-place-winning-solution", "kernel_id": "29113304"}, {"ref": "dschettler8845/part-2-tf-keras-train-custom-clip-like", "kernel_id": "29188519"}, {"ref": "hesene/3rd-place-winning-solution", "kernel_id": "29129141"}, {"ref": "aminaabukaied/training-and-inference", "kernel_id": "29174247"}, {"ref": "aminaabukaied/eda-mask-data", "kernel_id": "29166014"}, {"ref": "jyotidabas/uwm-gi-tract-image-segmentation-eda", "kernel_id": "29647819"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "amina15mohammed/notebookcc3be52785", "kernel_id": "29215788"}, {"ref": "yash030898/modelling-gi-tract", "kernel_id": "29890578"}, {"ref": "myominhtet/uwmgi-segmentation", "kernel_id": "30671992"}, {"ref": "henrychibueze/tumour-detection-in-mri-scans", "kernel_id": "30406064"}, {"ref": "limonhalder/uw-madison-gi-tract-image-segmentation", "kernel_id": "30840528"}, {"ref": "kailathan/3d-solution-with-monai-ensemble-weights", "kernel_id": "30061626"}, {"ref": "tejasurya/unet-from-scratch-segmentation-tumour", "kernel_id": "31291810"}, {"ref": "sashanktalakola/gi-tract-image-segmentation", "kernel_id": "31620636"}, {"ref": "apurvaaudi/uwm-image-segmentation-eda", "kernel_id": "32720017"}, {"ref": "damoonshahhosseini/cps843-playground", "kernel_id": "32270982"}, {"ref": "heiswicked/pytorch-lightning-unet-segmentation-tumour", "kernel_id": "32726311"}, {"ref": "heiswicked/pytorch-unet-segmentation-tumour", "kernel_id": "32714995"}, {"ref": "aryangurudev/uwmgi-unet-infer-pytorch", "kernel_id": "32683221"}, {"ref": "anushkapatil04/unetr-for-image-segmentation", "kernel_id": "32136881"}, {"ref": "juanpinilla13/proyecto-proc-de-im-genes", "kernel_id": "32305725"}, {"ref": "pushkar007/write-u-net-from-scratch-tutorial", "kernel_id": "32203543"}, {"ref": "madhusudhanreddy769/3d-monai", "kernel_id": "33438009"}, {"ref": "kmglock/uwm-gi-tract-image-segmentation-eda", "kernel_id": "34447686"}, {"ref": "prasaddeva/notebookbf1b3a9142", "kernel_id": "34777177"}, {"ref": "ollatunji/tumor-detection-in-mri-scans-v2", "kernel_id": "34679251"}, {"ref": "dnmohankrishna/uwmgi-transunet-2-5d-train-tf", "kernel_id": "34793627"}, {"ref": "giorgiotocco/progettobigdata-toccomessina", "kernel_id": "34489173"}, {"ref": "randymoss129/uwmgi-2-5d-train-pytorch", "kernel_id": "34807474"}, {"ref": "nguyntunsinh/pytorch-unet-segmentation-breast", "kernel_id": "35791733"}, {"ref": "tejomanasa/uwmgi-unet-train-pytorch", "kernel_id": "35724156"}, {"ref": "tejomanasa/uwmgi-segmentation-unet-keras-train", "kernel_id": "35746181"}, {"ref": "alicelatino/jlr-bigdata", "kernel_id": "35337565"}, {"ref": "suryknt/unet-pytorch-lightning-suryakant-singh", "kernel_id": "36774819"}, {"ref": "tejomanasa/uwmgi-unet-infer", "kernel_id": "36234461"}, {"ref": "tejomanasa/uwmgi-segmentation-unet-keras-inference", "kernel_id": "36616154"}, {"ref": "trishatomy/automatic-segmentation-of-stomach-and-intestines-o", "kernel_id": "36454958"}, {"ref": "bhanumokkapati/end-to-end-submission", "kernel_id": "36492346"}, {"ref": "labarb98/keras-unet-segmentation", "kernel_id": "36898764"}, {"ref": "lucalabarbera/la-barbera-big-data", "kernel_id": "37161446"}, {"ref": "bringernaves/uw-madison-unipa-bigdata-project", "kernel_id": "37091708"}, {"ref": "labarb98/segmentation-keras-unet", "kernel_id": "37039588"}, {"ref": "dhanushbedre/uw-gi-track-segmentation", "kernel_id": "38076221"}, {"ref": "noahre1/uwm-submit", "kernel_id": "38350694"}, {"ref": "zoetheone2333/uwmgi-unet-train-pytorch", "kernel_id": "38972752"}, {"ref": "magomago/pytorch-lightning-unet-segmentation", "kernel_id": "39630355"}, {"ref": "khaledabdelgaber/uwmgi-levit-unet-baseline-7674be", "kernel_id": "40334023"}, {"ref": "nghihuynh/kaggle-ai-report-medical-imaging-competitions", "kernel_id": "40675396"}, {"ref": "faceacc/uwmgi-unet-train-pytorch", "kernel_id": "40639309"}, {"ref": "rawmatter/uwmgi-segmentation-unet-keras-inference", "kernel_id": "40819299"}, {"ref": "sreeramtirumala/tp-impl", "kernel_id": "41908952"}, {"ref": "manaltoumi/manalll", "kernel_id": "41425266"}, {"ref": "ellorayasi/uwmgi-unet-train-pytorch", "kernel_id": "42399615"}, {"ref": "alekhyavallakonda/image-segmentation-unet", "kernel_id": "42414397"}, {"ref": "mushfiqurrahmangalib/pytorch-lightning-unet-segmentation-3be78c", "kernel_id": "42545252"}, {"ref": "nguyentuannguyen/cancer-image-segmentation-notebook", "kernel_id": "43955379"}, {"ref": "superbigfive/unet-for-uwmgi", "kernel_id": "43483349"}, {"ref": "ahaan2/uwgi-training-ground", "kernel_id": "44710169"}, {"ref": "jayanthsaimarreddi/unet34-uwmgi-2-5d-train-pytorch", "kernel_id": "44021801"}, {"ref": "vovanquangnbk/uwmgi-train", "kernel_id": "45867282"}, {"ref": "thakkarjinal/train-uwgi-new", "kernel_id": "45943746"}, {"ref": "torresjan/dsproj", "kernel_id": "45115842"}, {"ref": "shivamguptakaggle/uwmgi-smp-unet-2-5d-train", "kernel_id": "46468070"}, {"ref": "carljvh/1-0-gi-tract-segmentation-first-draft", "kernel_id": "47042093"}, {"ref": "sabahesaraki/madison-medical-image-segmentation", "kernel_id": "47472841"}, {"ref": "sabahesaraki/uwmgi-train-eda", "kernel_id": "47316004"}, {"ref": "aminaashfaq06/fork-of-unetr-for-image-segmentation", "kernel_id": "47111582"}, {"ref": "wangyongqi/segformer", "kernel_id": "49693652"}, {"ref": "wangyongqi/uwmgi-unet-infer-pytorch", "kernel_id": "49510555"}, {"ref": "huynguyna/improved-unet", "kernel_id": "49221993"}, {"ref": "huynguyna/original-unet", "kernel_id": "49213379"}, {"ref": "arockiapraveen/tensorflow-unetr-w-b", "kernel_id": "50729869"}, {"ref": "trnaacthng/uwmgi-2-5d-prediction-image", "kernel_id": "50015182"}, {"ref": "trnaacthng/uwmgi-2-5d-stride-2-data-ho-quang", "kernel_id": "50221262"}, {"ref": "trnaacthng/uwmgi-mask-data-ho-quang", "kernel_id": "51714712"}, {"ref": "trnaacthng/uwmgi-2-5d-train-split-fold", "kernel_id": "51222396"}, {"ref": "trnaacthng/uwmgi-2-5d-infer", "kernel_id": "51222428"}, {"ref": "tapudatta/uwmgi-transunet-2-5d-train-tf-7605c1", "kernel_id": "51256324"}, {"ref": "baooooo1928/gleason2019-unet-train-pytorch", "kernel_id": "51413753"}, {"ref": "vietmctk12/uwmgi-2-5d-stride-2-data", "kernel_id": "51227411"}, {"ref": "vietmctk12/uwmgi-2-5d-train", "kernel_id": "51225060"}, {"ref": "vietmctk12/uwmgi-2-5d-infer", "kernel_id": "51225123"}, {"ref": "trnaacthng/uwmgi-2-5d-train-data-folds", "kernel_id": "52849536"}, {"ref": "lilmanh/uwmgi-2-5d-train", "kernel_id": "52294200"}, {"ref": "trnaacthng/uwmgi-2-5d-train-model", "kernel_id": "53290919"}, {"ref": "thang1703/uwmgi-2-5d-infer-predict-train", "kernel_id": "53325819"}, {"ref": "vietmc422002/uwmgi-2-5d-train-data-folds", "kernel_id": "53373478"}, {"ref": "vietmc422002/uwmgi-2-5d-train-model", "kernel_id": "53346565"}, {"ref": "vietmc422002/uwmgi-2-5d-infer-pytorch", "kernel_id": "53275542"}, {"ref": "vietmctk12/uwmgi-2-5d-train-model", "kernel_id": "53346922"}, {"ref": "papaji89989/unet-from-scratch-segmentation-tumour", "kernel_id": "54066826"}, {"ref": "fortunatoviola98/progetto-bigdata-viola-fortunato-2023-2024", "kernel_id": "54730008"}, {"ref": "ahmedwaeladel/uwmgi-2-5d-train-model", "kernel_id": "55210442"}, {"ref": "anhvlm/unet-test", "kernel_id": "55387636"}, {"ref": "vietmc422002/uwmgi-mask-data", "kernel_id": "55258709"}, {"ref": "vietmc422002/uwmgi-2-5d-infer-pytorch-4372de", "kernel_id": "55258447"}, {"ref": "vietmc422002/uwmgi-2-5d-train-model-887e8c", "kernel_id": "55258520"}, {"ref": "vietmctk12/uwmgi-2-5d-prediction-image-8a77ff", "kernel_id": "55218156"}, {"ref": "vietmctk12/uwmgi-2-5d-infer-pytorch-a913af", "kernel_id": "55322298"}, {"ref": "lilmanh/uwmgi-2-5d-prediction-image-3c65c2", "kernel_id": "55325834"}, {"ref": "lilmanh/uwmgi-2-5d-infer-pytorch-2fdcbd", "kernel_id": "55322247"}, {"ref": "lilmanh/uwmgi-2-5d-infer-pytorch-da5103", "kernel_id": "55320540"}, {"ref": "lilmanh/uwmgi-mask-data-c31f0b", "kernel_id": "55318687"}, {"ref": "chitimellaprans/unet-from-scratch-segmentation-tumour", "kernel_id": "57229931"}, {"ref": "vaishnavnarigiri/unet-from-scratch-segmentation-tumour-e73217", "kernel_id": "57252694"}, {"ref": "amalaabdesslam/karrem-levitamal-new", "kernel_id": "57341282"}, {"ref": "vuxthutrang/data-mining", "kernel_id": "57479695"}, {"ref": "hamidrezahazaveh/try-unet", "kernel_id": "58435093"}, {"ref": "yangjam/try-unet", "kernel_id": "58027795"}, {"ref": "amalaabdesslam/uwmgi-levit-focalloss-amal-new", "kernel_id": "58396210"}, {"ref": "amalaabdesslam/uwmgi-levitamal-lossfunctiondamge", "kernel_id": "58673169"}, {"ref": "kareem00ali/uwmgi-levitamal-lossfunctiondamge", "kernel_id": "60311380"}, {"ref": "kareem00ali/uwmgi-levitamal-33dicebcelossfunctiondamge-3333", "kernel_id": "60576451"}, {"ref": "amalaabdesslam/uwmgi-levitamal-33dicebcelossfunctiondamge-3333", "kernel_id": "60517247"}, {"ref": "amalaabdesslam/uwmgi-levitamal-22focaltverskylossfunctiondamge", "kernel_id": "60580863"}, {"ref": "amalaabdesslam/uwmgi-levitamal-33dicebcelossfunctiondamge", "kernel_id": "61379357"}, {"ref": "ahaan2/uwgi-bbox", "kernel_id": "62793167"}, {"ref": "quntrnhongng/uwmgi-unet-training-pytorch-lightning", "kernel_id": "62220374"}, {"ref": "quntrnhongng/uwmgi-unet-inference-pytorch", "kernel_id": "62671946"}, {"ref": "lavitrasrivastava/uw-madison-gans", "kernel_id": "62980916"}, {"ref": "lavitrasrivastava/uwmgi-unet-train-pytorch", "kernel_id": "63092799"}, {"ref": "roteml/uwmgi-2-5d-train-pytorch-cec7f8", "kernel_id": "64058039"}, {"ref": "roteml/biftransnet-multiscale-test-uwmgi-2-5d-train", "kernel_id": "64386764"}, {"ref": "shgyg99/segmentation-pytorch-unet-unetplusplus-deeplabv3", "kernel_id": "65884353"}, {"ref": "kareem00ali/uwmgi-levit-focalloss-amal-new-2c4d0c", "kernel_id": "69950190"}, {"ref": "qwertyuiopsasdfghjkl/minor-project", "kernel_id": "69009211"}, {"ref": "matthewbelanger321/gi-tract-segmentation-f2171b", "kernel_id": "70626290"}, {"ref": "fairyyyyyyyz/uwmgi-unet-train-pytorch", "kernel_id": "72694801"}, {"ref": "zhaoyuxin12138/unet-segment", "kernel_id": "72691278"}, {"ref": "sesha95/notebooka034b3bf9c", "kernel_id": "73852883"}, {"ref": "dnkumars/uwmgi-unet-eda", "kernel_id": "73366355"}, {"ref": "purplesandy/unet-segment111111", "kernel_id": "73622758"}, {"ref": "kanwhite/uwmgi-2-5d-infer-pytorch", "kernel_id": "73405604"}, {"ref": "zhaoyuxin12138/drop-transformer-unet", "kernel_id": "73654897"}, {"ref": "trnaacthng/2-5d-stride-2-dataset", "kernel_id": "77931645"}, {"ref": "trnaacthng/mask-dataset", "kernel_id": "77932688"}, {"ref": "nataliecheong/gt-tract-segmentation", "kernel_id": "77564730"}, {"ref": "ismailukman/unet-segment-tumor-spark-2025-tutorial", "kernel_id": "78695884"}, {"ref": "kotaizawa/gi-cls-efficient-b4", "kernel_id": "78433837"}, {"ref": "trnaacthng/uwmgit-nnunet-3d-training-fc4949", "kernel_id": "80855677"}, {"ref": "trnaacthng/uwmgit-nnunet-3d-training", "kernel_id": "80426598"}, {"ref": "thang1703/uwmgit-nnunet-3d-training", "kernel_id": "80482227"}, {"ref": "thang1703/uwmgi-2-5d-train-model", "kernel_id": "80351978"}, {"ref": "tranhung111/uwmgi-2-5d-train-model", "kernel_id": "80367676"}, {"ref": "tranhung111/uwmgit-nnunet-3d-training", "kernel_id": "80660116"}, {"ref": "spark2025/week-8-u-net-for-segmentation", "kernel_id": "80369480"}, {"ref": "hminhquang/uwmgi36k-unet", "kernel_id": "80408304"}, {"ref": "hminhquang/nnunet-uwmgi36k", "kernel_id": "80955430"}, {"ref": "thangtran173/uwmgi-2-5d-train-model", "kernel_id": "80956916"}, {"ref": "gollavamsi21bce9940/medical-segmentation-pytorch-unet", "kernel_id": "81084231"}, {"ref": "yadavanushka/unet-from-scratch-segmentation-tumour", "kernel_id": "81524690"}, {"ref": "tranthang111/uwmgi36k-unet", "kernel_id": "81571129"}, {"ref": "talhakim/segmentation-demo", "kernel_id": "82174805"}, {"ref": "tranthang111/boundary-uwmgi36k-unet", "kernel_id": "82546838"}, {"ref": "trnaacthng/cbam-uwmgi36k-unet", "kernel_id": "83176294"}, {"ref": "trnaacthng/uwmgi-2-5d-infer-3d73a5", "kernel_id": "83865939"}, {"ref": "xjq701229/uw-classified", "kernel_id": "83317090"}, {"ref": "tranhung111/uwmgi36k-unet", "kernel_id": "83088638"}, {"ref": "tranhung111/uwmgi-2-5d-infer", "kernel_id": "83592909"}, {"ref": "zhao0056/notebook9addc09d4c", "kernel_id": "83309136"}, {"ref": "hanyuwang2004/why-homework", "kernel_id": "83616433"}, {"ref": "trnaacthng/uwmgi36k-unet-swa", "kernel_id": "84686262"}, {"ref": "hminhquang/timm-efficientnet-b0-uwmgi36k-unet", "kernel_id": "84676182"}, {"ref": "tranthang111/uwmgi36k-unet-efficientnet-b2", "kernel_id": "84676046"}, {"ref": "mdimpreeajhossain/image-segmentation-eda-mask-r-cnn-train", "kernel_id": "85728937"}, {"ref": "seoyunje/umgti-2d-3d-segmentation-analysis", "kernel_id": "85480120"}, {"ref": "abhivij/eda-segmentation-on-2-5d-data-with-segformer", "kernel_id": "86117481"}, {"ref": "intissarchahbar/unet-from-scratch-segmentation-tumour", "kernel_id": "86549376"}, {"ref": "seoyunje/segmentation-eveything-for-beginner-pytorch", "kernel_id": "86185156"}, {"ref": "tranthang111/ensemble-uwmgi36k-unet", "kernel_id": "87752392"}, {"ref": "letitiacowell/alexandria-competition-uw-madison-gi-trac-251759", "kernel_id": "100582773"}, {"ref": "alexanderkireev/07-ml-trainings-cv", "kernel_id": "110825598"}, {"ref": "shresthml/eda-minipro", "kernel_id": "111604312"}, {"ref": "dumitrulunic/segmentation-eveything-for-beginner-pytorch", "kernel_id": "114181544"}, {"ref": "dumitrulunic/uwmgi-unet-train-pytorch", "kernel_id": "114178792"}, {"ref": "mdabdulalhasib/segmentation-eveything-for-beginner-pytorch", "kernel_id": "119484362"}, {"ref": "rasidulislam091/uw-madison-gi-tract-image-segmentation-q1", "kernel_id": "126851048"}]}
{"competition_id": "27924", "kernels": [{"ref": "akaggleintime/deviceprofiling", "kernel_id": "17171818"}, {"ref": "patrickrood/notebook9b61d1b0b3", "kernel_id": "17136094"}]}
{"competition_id": "27927", "kernels": []}
{"competition_id": "27929", "kernels": [{"ref": "alexeykozhevnikovmm/notebook-neural-networks-m-a", "kernel_id": "17069749"}, {"ref": "kaolinnge/creditcards-fraud", "kernel_id": "17113410"}, {"ref": "maryamlistopad/og-gucci-creditcard", "kernel_id": "17102857"}, {"ref": "chernykhaa/creditcards-team-dga", "kernel_id": "17091281"}, {"ref": "maksimandreev/neural-network-azs", "kernel_id": "17151984"}, {"ref": "alexag05/creditcards-three-graces", "kernel_id": "17110311"}, {"ref": "daryafilippova/creditcards-ida", "kernel_id": "17102023"}, {"ref": "alexeyshatokhin/creditcards-reshape-of-you", "kernel_id": "17105521"}]}
{"competition_id": "27935", "kernels": [{"ref": "subinium/how-to-visualize-text-dataset", "kernel_id": "16906701"}, {"ref": "aamartesu/ai4code-train-tfrankencoder", "kernel_id": "18840308"}, {"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "abhishek/autonlp-for-toxic-ratings", "kernel_id": "21856123"}, {"ref": "saurabhbagchi/pytorch-w-b-jigsaw-starter", "kernel_id": "21887212"}, {"ref": "saurabhbagchi/0-824-jigsaw-inference", "kernel_id": "21878094"}, {"ref": "steubk/jrsotc-bradley-terry-model-with-choix", "kernel_id": "21937131"}, {"ref": "steubk/jrsotc-ridgeregression", "kernel_id": "21962450"}, {"ref": "robikscube/jiggsaw-toxic-comments-eda-twitch-stream", "kernel_id": "21867386"}, {"ref": "gauravbrills/jigsaw-cardiffnlp-twitter-model-inference", "kernel_id": "21969687"}, {"ref": "yeayates21/jigsaw-rate-severity-simple-lstm-w-augmentation", "kernel_id": "21924101"}, {"ref": "yeayates21/jigsaw-severity-xlm-roberta-augmentation-ssl", "kernel_id": "21946605"}, {"ref": "coldfir3/clean-inference-with-hugingface-0-764", "kernel_id": "21999281"}, {"ref": "julian3833/jigsaw-random-rank-lb-0-498", "kernel_id": "21897979"}, {"ref": "julian3833/jigsaw-explore-previous-competitions-datasets", "kernel_id": "21998884"}, {"ref": "julian3833/jigsaw-hf-hub-out-of-the-box-models", "kernel_id": "21976466"}, {"ref": "julian3833/jigsaw-incredibly-simple-naive-bayes-0-768", "kernel_id": "21928276"}, {"ref": "wuyhbb/toxic-random-eda", "kernel_id": "21950387"}, {"ref": "hamditarek/jrst-nb-svm-nb-svm-strong-linear-baseline", "kernel_id": "21855395"}, {"ref": "manabendrarout/pytorch-roberta-ranking-baseline-jrstc-train", "kernel_id": "21883245"}, {"ref": "manabendrarout/pytorch-roberta-ranking-baseline-jrstc-infer", "kernel_id": "21884188"}, {"ref": "elcaiseri/jigsaw-keras-embedding-lstm", "kernel_id": "21884809"}, {"ref": "santhoshkumarv/bidirectional-lstm-pytorch-jigsaw-inference", "kernel_id": "21966719"}, {"ref": "santhoshkumarv/bidirectional-lstm-pytorch-jigsaw-training", "kernel_id": "21981820"}, {"ref": "kaushikholla/0-752-eda-baseline-model-svm", "kernel_id": "21900984"}, {"ref": "sorenj/perspectiveapi-tuning", "kernel_id": "21719427"}, {"ref": "sorenj/scoring-comments-using-unitaryai-detoxify", "kernel_id": "21591460"}, {"ref": "alibaba19/jigsaw-training-ulmfit-w-fastai", "kernel_id": "21860731"}, {"ref": "alibaba19/jigsaw-ulmfit-fastai-inference", "kernel_id": "21887384"}, {"ref": "pablorosa01/naive-bayes-modeling-base-line", "kernel_id": "21994585"}, {"ref": "poipii/pytorch-lightning-toxic-distilrobeta", "kernel_id": "21901098"}, {"ref": "jpn888/jrstc-tried-augment-using-duplicates", "kernel_id": "21879698"}, {"ref": "mpwolke/toxic-kagglers-positivity", "kernel_id": "21860980"}, {"ref": "ananyapam7/ensemble-technique", "kernel_id": "21972740"}, {"ref": "ruchi798/jrstc-eda", "kernel_id": "21855242"}, {"ref": "kush1729/xgboostregressor-with-gridsearch-cv", "kernel_id": "21987658"}, {"ref": "btzkb7766/jigsaw-nlp-toxic-prediction", "kernel_id": "21984066"}, {"ref": "devkhant24/jigsaw-comment-toxicity-bidirectional-gru", "kernel_id": "21881214"}, {"ref": "soumya9977/jrstc-baseline-model-lstm-cnn-regression", "kernel_id": "21859995"}, {"ref": "vincentschuler/0-816-jigsaw-inference", "kernel_id": "21957256"}, {"ref": "millak/japanese-novice-note-part1", "kernel_id": "21867769"}, {"ref": "millak/forjapanesenovice-pytorch-w-b-jigsaw-starter", "kernel_id": "21930919"}, {"ref": "zacchaeus/jrstc-folds", "kernel_id": "21855772"}, {"ref": "zacchaeus/jrstc-bert-train-pytorch", "kernel_id": "21855875"}, {"ref": "frankmollard/nltk-sentiment-starter-within-33-seconds", "kernel_id": "21879189"}, {"ref": "kalilurrahman/jsrtc-toxic-or-not-comments-eda", "kernel_id": "21873082"}, {"ref": "lonnieqin/jigsaw-toxicity-training-with-fnet", "kernel_id": "21855876"}, {"ref": "lonnieqin/tf-idf-vectorization-with-keras", "kernel_id": "21970474"}, {"ref": "lonnieqin/jigsaw-toxicity-inference-with-fnet", "kernel_id": "21981607"}, {"ref": "ishandutta/jigsaw-pytorch-lightning-fp16-gpu-tpu-w-b", "kernel_id": "21971537"}, {"ref": "ishandutta/jigsaw-all-competition-eda-at-one-place-model", "kernel_id": "21856307"}, {"ref": "debarshichanda/pytorch-w-b-jigsaw-starter", "kernel_id": "21862068"}, {"ref": "debarshichanda/0-816-jigsaw-inference", "kernel_id": "21875917"}, {"ref": "leolu1998/hatebert-jigsaw-training", "kernel_id": "21982106"}, {"ref": "rajkumarl/ruddit-comment-extraction", "kernel_id": "21959584"}, {"ref": "ekaterinadranitsyna/regression-ensemble-lb-0-78", "kernel_id": "21962447"}, {"ref": "urstrulysai/here-s-the-train-csv-you-are-looking-for", "kernel_id": "21798539"}, {"ref": "junior10/autonlp-for-toxic-ratings", "kernel_id": "21870007"}, {"ref": "junior10/jrstc-lgb-strong-baseline", "kernel_id": "21878396"}, {"ref": "junior10/pytorch-w-b-jigsaw-starter", "kernel_id": "21885291"}, {"ref": "masternoodlemaker/roberta-further-pretrain", "kernel_id": "21952141"}, {"ref": "sudipg411/data-visualization-auto-nlp", "kernel_id": "21873183"}, {"ref": "sudipg411/data-visualization-lgm-eda", "kernel_id": "21885891"}, {"ref": "sabinaabdurakhmanova/jigsaw-comment-toxicity-lstm-starter", "kernel_id": "21991362"}, {"ref": "slavkoprytula/word-cloud-visualization", "kernel_id": "21992283"}, {"ref": "slavkoprytula/random-fit", "kernel_id": "21913971"}, {"ref": "mohamedbakrey/nlp-alog-for-jigsaw", "kernel_id": "21904354"}, {"ref": "mohamedbakrey/eda-model-lstm-cnn-regression-for-jigsaw", "kernel_id": "21871589"}, {"ref": "mohamedbakrey/jigsaw-using-simple-ml", "kernel_id": "21961503"}, {"ref": "kishalmandal/infer-toxiccomments", "kernel_id": "21910971"}, {"ref": "kishalmandal/multi-label-stratified-k-fold-toxic-comments", "kernel_id": "21906955"}, {"ref": "kishalmandal/jigsaw-fit-multi-label-comment-classifier", "kernel_id": "21907244"}, {"ref": "kishalmandal/fold-is-gold-custom-data", "kernel_id": "21888316"}, {"ref": "kishalmandal/transformers-inference-rl", "kernel_id": "21897363"}, {"ref": "kishalmandal/all-about-stemming-and-lemmatization-cleaning", "kernel_id": "21874511"}, {"ref": "kishalmandal/bert-fit-es-and-visualisation", "kernel_id": "21880707"}, {"ref": "shivansh002/very-toxic-eda", "kernel_id": "21869830"}, {"ref": "konradb/prepare-paired-datasets", "kernel_id": "22728096"}, {"ref": "zenstat/jigsaw-baseline", "kernel_id": "22511199"}, {"ref": "samarthagarwal23/y-patterns-in-nlp-data", "kernel_id": "22069449"}, {"ref": "samarthagarwal23/mega-b-ridge-to-the-top-lb-0-85", "kernel_id": "22091391"}, {"ref": "samarthagarwal23/the-benchmark-0-81-tfidf-ridge", "kernel_id": "22011733"}, {"ref": "samarthagarwal23/cleaner-validation-data", "kernel_id": "22150691"}, {"ref": "samarthagarwal23/baseline-cleaned-tfidf-ridge-lb-0-816", "kernel_id": "22202330"}, {"ref": "samarthagarwal23/which-words-are-toxic-for-each-category", "kernel_id": "22263079"}, {"ref": "saurabhbagchi/jigsaw-ensemble-tfidf-bert", "kernel_id": "22229033"}, {"ref": "jdoesv/baseline-data-prep", "kernel_id": "22110641"}, {"ref": "jdoesv/wrangled-validation-data", "kernel_id": "22131431"}, {"ref": "jdoesv/wt-text-processing-utils", "kernel_id": "22115281"}, {"ref": "jdoesv/berttweet-large-offline", "kernel_id": "22143359"}, {"ref": "steubk/jrsotc-ridgeregression-ensemble-of-3", "kernel_id": "22067511"}, {"ref": "sriramanathan/0-787-regression-baseline-tf-idf", "kernel_id": "22642956"}, {"ref": "minsik/211123-toxic-01-copy-code", "kernel_id": "22239179"}, {"ref": "muditbachhawat/baseline-jigsaw-random-rank", "kernel_id": "22302649"}, {"ref": "neoistheone/jrsotc-ridgeregression-ensemble-of-3", "kernel_id": "22101767"}, {"ref": "its7171/jigsaw-cv-strategy", "kernel_id": "22216121"}, {"ref": "pokmppokmp/jigsaw-text-regression2", "kernel_id": "22346804"}, {"ref": "pokmppokmp/jigsaw-ensemble-tfidf-ridge-roberta-deberta", "kernel_id": "22906221"}, {"ref": "shravankumar147/how-to-add-custom-packages-to-kaggle-notebook", "kernel_id": "22325279"}, {"ref": "shravankumar147/1-basic-understanding-of-data-and-model-detoxify", "kernel_id": "22306620"}, {"ref": "gauravbrills/jigsaw-deberta-inference", "kernel_id": "22240610"}, {"ref": "gauravbrills/jigsaw-deberta-v3-base-train-model-3", "kernel_id": "22219649"}, {"ref": "gauravbrills/jigsaw-luke-train-with-torch-xla", "kernel_id": "22093864"}, {"ref": "yeayates21/jigsaw-severity-xlm-distilbert-augmentation", "kernel_id": "22049628"}, {"ref": "yeayates21/jigsaw-rate-severity-text-augmentation", "kernel_id": "22069559"}, {"ref": "yeayates21/jigsaw-severity-xlm-distilbert-tox-com-data", "kernel_id": "22147943"}, {"ref": "yeayates21/jigsaw-rate-severity-simple-lstm-tox-com-data", "kernel_id": "22122712"}, {"ref": "ramapinnimty/submission-1", "kernel_id": "22166997"}, {"ref": "raghavendrakotala/inference-on-roberta-toxicity-model-using-dataset", "kernel_id": "22184013"}, {"ref": "raghavendrakotala/ruddit-jigsaw-trained-with-datasets-trainer", "kernel_id": "22678682"}, {"ref": "quincyqiang/download-huggingface-pretrain-for-kaggle", "kernel_id": "22052914"}, {"ref": "boltmaud/output-detox", "kernel_id": "22309522"}, {"ref": "boltmaud/simple-use-of-detoxify-trained-model", "kernel_id": "22212414"}, {"ref": "boltmaud/detoxify-and-fine-tunning", "kernel_id": "22489110"}, {"ref": "cascadinglight/jigsaw-roberta-starter-mlm-synonym-aug", "kernel_id": "22895241"}, {"ref": "cascadinglight/hatebert-mlm-and-data-aug-nlpaug", "kernel_id": "22215443"}, {"ref": "coldfir3/eda-sentiment-analysis-benchmark-baseline", "kernel_id": "22012590"}, {"ref": "konohayui/kepler-mapper-algorithm-to-visualize-nlp-topic", "kernel_id": "22802311"}, {"ref": "julian3833/jigsaw-early-ensemble-lb-0-836", "kernel_id": "22143744"}, {"ref": "julian3833/jigsaw-new-ensemble-lb-0-853", "kernel_id": "22225637"}, {"ref": "neosoonhua/train-csv-for-use", "kernel_id": "22983033"}, {"ref": "ympaik/binary-classification-w-tfidf-xgboost", "kernel_id": "22555515"}, {"ref": "sunchine/0-816-jigsaw-inference11234layer2mlp", "kernel_id": "22240211"}, {"ref": "tenffe/rapids-tfidf-linear-model-ensemble", "kernel_id": "22918277"}, {"ref": "tenffe/2-train-bert-fold-0", "kernel_id": "22613412"}, {"ref": "tenffe/1-data-preprocess-data", "kernel_id": "22593019"}, {"ref": "hbendeguz/simple-solution-tfidf-multiclassridge-cascade", "kernel_id": "22466082"}, {"ref": "rohitgr/pytorch-lightning-silver-private-lb-0-80025", "kernel_id": "22825981"}, {"ref": "rohitgr/pytorch-lightning-roberta-base-marginrankingloss", "kernel_id": "22542753"}, {"ref": "revathiprakash/jigsaw-ensemble-lb-0-859", "kernel_id": "22526670"}, {"ref": "yasufuminakama/jigsaw4-luke-base-starter-train", "kernel_id": "22071684"}, {"ref": "yasufuminakama/jigsaw4-luke-base-starter-sub", "kernel_id": "22077631"}, {"ref": "ahsanhabib98/jigsaw-rate-severity-of-toxic-comments-by-ridge", "kernel_id": "22497211"}, {"ref": "ahsanhabib98/jigsaw-rate-severity-of-toxic-comments-by-cnn", "kernel_id": "22531455"}, {"ref": "ahsanhabib98/jigsaw-rate-severity-of-toxic-comments-by-lstm", "kernel_id": "22534211"}, {"ref": "vanle73/valid-data-analysis-jigsaw", "kernel_id": "22267035"}, {"ref": "vanle73/back-translation-offline-for-data-augmentation", "kernel_id": "22110919"}, {"ref": "shobhitupadhyaya/generated-data-from-previous-jigsaw-competitions", "kernel_id": "22108645"}, {"ref": "kazama28/0-834-less-more-toxic-pairs-from-multiple-source", "kernel_id": "22963522"}, {"ref": "kevtyle/jigsaw-dataset-pretrained-notebooka68ba645d3", "kernel_id": "22569664"}, {"ref": "get2jawa/nlp-basic-eda-cleaning-lstm-lb-0-79", "kernel_id": "22076659"}, {"ref": "zxhuang1698/inference", "kernel_id": "22754524"}, {"ref": "perevalov540/detoxify-baseline-with-no-internet-offline", "kernel_id": "22213700"}, {"ref": "kumapo/reproducible-cv-strategy-by-union-find-jigsaw", "kernel_id": "22990289"}, {"ref": "kaushikholla/0-787-regression-baseline-tf-idf", "kernel_id": "22364403"}, {"ref": "kaushikholla/using-rnn-and-lstm-with-gpu-0-707", "kernel_id": "22471453"}, {"ref": "adldotori/all-in-one-dataset", "kernel_id": "22457529"}, {"ref": "adldotori/huggingface-distilbertclassification-inference", "kernel_id": "22132325"}, {"ref": "adldotori/distilberttokenizerfast-tokenizer", "kernel_id": "22132646"}, {"ref": "adldotori/huggingface-distilbertclassification-starter", "kernel_id": "22110400"}, {"ref": "abdokamr/toxic-eda-ml-baseline-model", "kernel_id": "22136536"}, {"ref": "kibaelee/lstm-with-word2vec-khadija-bn", "kernel_id": "22130431"}, {"ref": "poipii/pytorch-lightning-unitary-unbiased-toxic-roberta", "kernel_id": "22106290"}, {"ref": "seraphwedd18/jigsaw-toxic-severity-lightgbm-training", "kernel_id": "22098766"}, {"ref": "seraphwedd18/jigsaw-toxic-severity-word-usage-scoring", "kernel_id": "22226359"}, {"ref": "serquet/jigsaw-full-eda-polarity-analysis", "kernel_id": "22609417"}, {"ref": "serquet/simple-lgbm-tfidf-svd-eda-useful-dataset-jigsaw", "kernel_id": "22744586"}, {"ref": "kush1729/xgboostregressor-with-gridsearchcv", "kernel_id": "22297973"}, {"ref": "nitishmalagi/eda-nlp-jiggsaw-toxic-severity-rating", "kernel_id": "22497946"}, {"ref": "pavan9065/explore-jigsaw-rate-severity", "kernel_id": "22579705"}, {"ref": "rizdelhi/multi-label-text-classification", "kernel_id": "22336279"}, {"ref": "abebe9849/sentence-bert-jigsaw", "kernel_id": "22861432"}, {"ref": "wuharlem/simple-bert-w-hinge-loss", "kernel_id": "22832993"}, {"ref": "devkhant24/jigsaw-comment-toxicity-tf-xlnet", "kernel_id": "22180705"}, {"ref": "columbia2131/jigsaw-cv-strategy-by-union-find", "kernel_id": "22370212"}, {"ref": "millak/lda-for-japanese", "kernel_id": "22201349"}, {"ref": "satyanweshi/0-773-tfidf-naive-bayes-ruddit-jigsaw-data", "kernel_id": "22191804"}, {"ref": "milenasokol/lstm-and-ranking", "kernel_id": "22709644"}, {"ref": "saraswatitiwari/jigsaw-rate-severity-toxic-comments", "kernel_id": "22682931"}, {"ref": "saraswatitiwari/jigsaw-rate-severity-of-toxic-comments", "kernel_id": "22643575"}, {"ref": "vitaleey/tfidf-ridge", "kernel_id": "22231439"}, {"ref": "guanghan/lstm-train", "kernel_id": "22723053"}, {"ref": "guanghan/lstm-infer", "kernel_id": "22725243"}, {"ref": "samyukthamobile/easy-nlp-submission-acc-91-lstm", "kernel_id": "22239959"}, {"ref": "samyukthamobile/beginners-submission-comment-toxic-or-not", "kernel_id": "22164560"}, {"ref": "khkuggle/simple-lstm-with-word2vec", "kernel_id": "22107802"}, {"ref": "sadivamadaan/bert-baseline1", "kernel_id": "22083100"}, {"ref": "dragonzhang/jrsotc-ridgeregression-ensemble-of-3", "kernel_id": "22110185"}, {"ref": "parasrana/textcnn-text-pre-processing", "kernel_id": "22632437"}, {"ref": "lonnieqin/jigsaw-toxicity-word2vec-tfidf-inference", "kernel_id": "22069072"}, {"ref": "lonnieqin/jigsaw-toxicity-word2vec-tfidf-training", "kernel_id": "22067498"}, {"ref": "lonnieqin/jigsaw-ensemble-0-79808-private-lb", "kernel_id": "22914421"}, {"ref": "davidshyn/notebook7d0b8967ef", "kernel_id": "22719284"}, {"ref": "davidshyn/notebooked8d905c80", "kernel_id": "22710130"}, {"ref": "dooneen/notebook585d78e2db", "kernel_id": "22772910"}, {"ref": "dooneen/notebook3a51f5c27e", "kernel_id": "22800423"}, {"ref": "dooneen/notebookd7d2c7ae59", "kernel_id": "22801692"}, {"ref": "dooneen/notebookab335e0fdd", "kernel_id": "22802354"}, {"ref": "hiroakifukuse/jigsaw-pretrain-roberta-base", "kernel_id": "22874046"}, {"ref": "ahmedaffan789/bert-toxic-comments-pytorch", "kernel_id": "22434139"}, {"ref": "ahmedaffan789/word2vec-skip-gram", "kernel_id": "22001981"}, {"ref": "v1shal9/project", "kernel_id": "22769808"}, {"ref": "randyli2/jigsaw-toxicity-severity-rating-starter", "kernel_id": "22201691"}, {"ref": "jirkaborovec/toxic-comments-with-lightning-flash-inference", "kernel_id": "22179132"}, {"ref": "jirkaborovec/score-toxic-comments-with-trained-detoxify", "kernel_id": "22207553"}, {"ref": "jirkaborovec/toxic-comments-with-lightning-flash", "kernel_id": "22008158"}, {"ref": "nkitgupta/text-representations", "kernel_id": "22459338"}, {"ref": "afiaibnath/extra-dropout-jigsaw-inference", "kernel_id": "22716574"}, {"ref": "nocopyrights/rate-severity-of-toxic-comments", "kernel_id": "22608130"}, {"ref": "yiqiuuuu/analyze-on-more-less-toxic-data", "kernel_id": "22566509"}, {"ref": "leolu1998/jigsaw-regression-ensemble", "kernel_id": "22078669"}, {"ref": "leolu1998/jigsaw-ensemble-tfidf-bert", "kernel_id": "22224923"}, {"ref": "hechtjp/jrstc-util", "kernel_id": "22317565"}, {"ref": "mst8823/tf-keras-pairwise-toxic-model-tpu-infer", "kernel_id": "22185266"}, {"ref": "mst8823/tf-keras-pairwise-toxic-model-tpu-train", "kernel_id": "22184445"}, {"ref": "mst8823/roberta-base-with-jigsaw-toxic-comment-infer", "kernel_id": "22080361"}, {"ref": "mst8823/roberta-base-with-jigsaw-toxic-comment-train", "kernel_id": "22080309"}, {"ref": "mahmoudlimam/comparing-toxicities", "kernel_id": "22416066"}, {"ref": "taoufikelkhaouja/toxic-comments-bert", "kernel_id": "22491902"}, {"ref": "rukawazy/roberta-base", "kernel_id": "22139968"}, {"ref": "usaiprashanth/hf-deepspeed-jigsaw-starter-training", "kernel_id": "22006567"}, {"ref": "usaiprashanth/hf-deepspeed-jigsaw-starter-libraries", "kernel_id": "22190020"}, {"ref": "usaiprashanth/hf-deepspeed-jigsaw-starter-inference", "kernel_id": "22176878"}, {"ref": "huntergregory/ranking-toxicity-of-wikipedia-comments", "kernel_id": "22601516"}, {"ref": "msvrao/notebook9c073ab6b4", "kernel_id": "22350752"}, {"ref": "ducanger/private-0-79-simple-ridge-tf-idf", "kernel_id": "22815284"}, {"ref": "olgaparshina/toxic-comment-model", "kernel_id": "22305201"}, {"ref": "kishalmandal/most-detailed-eda-tf-idf-and-logistic-reg", "kernel_id": "22140119"}, {"ref": "aviral23/how-to-deal-with-toxic-comments", "kernel_id": "22014425"}, {"ref": "masatomurakawamm/jigsaw-tftransformers-regressor-with-attention", "kernel_id": "22526189"}, {"ref": "masatomurakawamm/jigsaw-bert-tftransformers-baseline", "kernel_id": "22502790"}, {"ref": "yashsingh012/notebook4bc71e382f", "kernel_id": "22359041"}, {"ref": "edusanketdk/notebookc2aa8d7d7e", "kernel_id": "22101670"}, {"ref": "hengwdai/lb-804-tiny-bert", "kernel_id": "22329389"}, {"ref": "hengwdai/final-jigsaw", "kernel_id": "22455933"}, {"ref": "forcewithme/download-transformers", "kernel_id": "22696850"}, {"ref": "junjitakeshima/jigsaw-simple-lgbm-starter-with-tf-idf-eng", "kernel_id": "22740290"}, {"ref": "adityasharma01/mega-b-ridge-to-the-top-0-84", "kernel_id": "22201804"}, {"ref": "adityasharma01/jrsotc-ridgeregression-ensemble-of-3", "kernel_id": "22101005"}, {"ref": "theamitnikhade/linear-regression-in-depth-intuition-no-loitering", "kernel_id": "22043546"}, {"ref": "shakshyathedetector/jigsaw-inference-1st-submission", "kernel_id": "22008708"}, {"ref": "shakshyathedetector/starter-jigsaw-rate-severity-of-toxic-comments", "kernel_id": "22030207"}, {"ref": "shakshyathedetector/pytorch-roberta-ranking-baseline-jrstc-infer", "kernel_id": "22070582"}, {"ref": "shakshyathedetector/jigsaw-challenge-simple-basic-apporch", "kernel_id": "22154497"}, {"ref": "michaelfromoldwick/toxic-comments-model", "kernel_id": "22094997"}, {"ref": "psvenom/balls", "kernel_id": "22513540"}, {"ref": "vaby667/roberta-infere", "kernel_id": "22501235"}, {"ref": "tolight20/jigsaw-starter-roberta-1st-mrl", "kernel_id": "22504317"}, {"ref": "tolight20/jigsaw-validation-dataset", "kernel_id": "22210474"}, {"ref": "tolight20/jigsaw-starter-hatebert-v3-rowruddit-mrl", "kernel_id": "22450835"}, {"ref": "rukimdev/jigsaw-first-second-ruddit-data-loader", "kernel_id": "22227941"}, {"ref": "rukimdev/lstm-with-word2vec-first-second-ruddit", "kernel_id": "22228520"}, {"ref": "rukimdev/ridgeregression-ensemble-3-remove-0-data", "kernel_id": "22207246"}, {"ref": "rukimdev/ensemble-v-1-0", "kernel_id": "22476060"}, {"ref": "rukimdev/jigsaw-folded-csv-files", "kernel_id": "22477604"}, {"ref": "keivanipchihagh/jigsaw-rate-severity-of-toxic-comments", "kernel_id": "22054995"}, {"ref": "abdelrhmanelkhouly/text-representations", "kernel_id": "22704923"}, {"ref": "sangambharti/tixicity-problem", "kernel_id": "22924703"}, {"ref": "vmuzhichenko/jigsaw-simple-toxic-transformer", "kernel_id": "22008010"}, {"ref": "jianluezhang/contrastive-tension-rank-toxicity", "kernel_id": "22067998"}, {"ref": "woo990307/jigsaw-rate-severity-of-toxic-comments", "kernel_id": "22732236"}, {"ref": "martinshengyenlin/dla-finalproject-training", "kernel_id": "22956939"}, {"ref": "zsofislosar/my-first-submission", "kernel_id": "22437217"}, {"ref": "mm1393852116/jigsaw-ensemble-tfidf-bert", "kernel_id": "22459741"}, {"ref": "toru59er/0-866-tfidf-ridge-simple-baseline", "kernel_id": "22514082"}, {"ref": "mdhdvchsd/tfidf-summed", "kernel_id": "22702633"}, {"ref": "mdhdvchsd/tfidf-balanced", "kernel_id": "22702842"}, {"ref": "mdhdvchsd/tfidf-ensembles", "kernel_id": "22729138"}, {"ref": "mdhdvchsd/tf-idf-ruddit", "kernel_id": "22728698"}, {"ref": "fionaluo7/text-representations", "kernel_id": "22727682"}, {"ref": "mstamatis/jigsaw-comment-toxicity-lstm-using-custom-af", "kernel_id": "23114818"}, {"ref": "maruyama/download-detoxify-pretrained-models", "kernel_id": "23970058"}, {"ref": "shravankumar147/2-toxic-comment-data-preperation", "kernel_id": "23878289"}, {"ref": "shravankumar147/3-toxic-comment-rater-offline", "kernel_id": "23260863"}, {"ref": "shravankumar147/1-jigsaw-iii-data-understanding", "kernel_id": "23100230"}, {"ref": "atamazian/using-detoxify-in-offline-mode", "kernel_id": "23965478"}, {"ref": "coldfir3/tokenizer-training-tfidf-ridge-lb-0-860", "kernel_id": "23745872"}, {"ref": "sarthak221995/tfidf-ridge-regression-simple-easy-83", "kernel_id": "23722196"}, {"ref": "neosoonhua/4-1-4-2-iterationstotryrandomvaluesforcat-mtpl", "kernel_id": "23088518"}, {"ref": "neosoonhua/6-2-train-and-submit-pipelines-saved", "kernel_id": "23548030"}, {"ref": "neosoonhua/4-1a-4-2atod-iterationswithrandomvaluesforcat-mtpl", "kernel_id": "23721177"}, {"ref": "neosoonhua/4-1a1-4-1a2-iterationstotryrandomvaluesforcat-mtpl", "kernel_id": "23730605"}, {"ref": "fangya/nlp-jigsaw-mindful-words-eda-tf-idf-svm", "kernel_id": "23775925"}, {"ref": "sklasfeld/jigsaw-naive-bayes-and-ridge-regression-explained", "kernel_id": "23771818"}, {"ref": "sklasfeld/jigsaw-naive-bayes-explained", "kernel_id": "23415911"}, {"ref": "thanatoz/29-solution-jigsaw-2022", "kernel_id": "23555228"}, {"ref": "crischir/simple-bigru-ktrain-regression", "kernel_id": "23786685"}, {"ref": "crischir/mockup-ner-nbme-poc", "kernel_id": "23761183"}, {"ref": "andreippv/toxic-labels-ambiguity", "kernel_id": "23772235"}, {"ref": "co21cen/jigsaw-starter1", "kernel_id": "23792655"}, {"ref": "pengyf0709/jigsaw-robert", "kernel_id": "23038394"}, {"ref": "kazama28/jigsaw-multilabel-classification-nb-svm", "kernel_id": "23011785"}, {"ref": "kaerunantoka/jigsaw4-previous-data-preprocessing", "kernel_id": "23944044"}, {"ref": "ayhampar/very-simple-code-with-score-0-886", "kernel_id": "23823403"}, {"ref": "suryadeepti/jigsaw", "kernel_id": "23738477"}, {"ref": "tavoglc/severity-of-toxic-comments", "kernel_id": "23888755"}, {"ref": "palash97/bert-pytorch-starter-code-training", "kernel_id": "23768867"}, {"ref": "d4t4x5c13nt15tx1401/balls", "kernel_id": "23951944"}, {"ref": "shandytp/toxic-eda", "kernel_id": "23742998"}, {"ref": "saraswatitiwari/jigsaw-toxic-comments", "kernel_id": "23632513"}, {"ref": "anki112279/toxic-comment-prediction", "kernel_id": "23079653"}, {"ref": "tensorchoko/jigsaw-eda-tfidf", "kernel_id": "23121354"}, {"ref": "readoc/toxic-public-valid-bi-encoder-tpu", "kernel_id": "23592758"}, {"ref": "readoc/toxic-linear-model-pseudo-labelling-lb-0-864", "kernel_id": "23591376"}, {"ref": "readoc/toxic-tf-ranking", "kernel_id": "23653696"}, {"ref": "jackchen89/dla-finalproject-training", "kernel_id": "23820920"}, {"ref": "eleonoraparrag/jigsaw-severity", "kernel_id": "23898788"}, {"ref": "lobnaahmeddoma/notebook73deec9c76", "kernel_id": "23940388"}, {"ref": "tisonludovic/rnn-tensorflow", "kernel_id": "23702599"}, {"ref": "tisonludovic/ovr-jigsaw-sgd", "kernel_id": "23676090"}, {"ref": "mayank00rastogi/ensemble-ridge-model", "kernel_id": "23904828"}, {"ref": "apurvsj/lstm-emblayer-xgb", "kernel_id": "23821893"}, {"ref": "ahnyelim/practice", "kernel_id": "23819866"}, {"ref": "elodiecallea/classifierchains-rf-ranking", "kernel_id": "23867865"}, {"ref": "ntuclyeng/dla-finalproject-inference", "kernel_id": "23788300"}, {"ref": "ntuclyeng/dla-finalproject-training", "kernel_id": "23782925"}, {"ref": "kathleenlee/jigsaw", "kernel_id": "23910422"}, {"ref": "arunkumar1809/jigsaw-random-forest-regressor-explained", "kernel_id": "23987353"}, {"ref": "arunkumar1809/beginners-lr-toxic-comments-classification-0-80", "kernel_id": "23363821"}, {"ref": "arunkumar1809/jigsaw-classfication-svr", "kernel_id": "23668540"}, {"ref": "nkitgupta/jigsaw-ridge-ensemble-tfidf-fasttext-0-868", "kernel_id": "23609060"}, {"ref": "rahulbhimani/jigsaw-13", "kernel_id": "23579356"}, {"ref": "hidebu/luke-base-add-datasets-private-0-8011", "kernel_id": "23820401"}, {"ref": "harshbansal27/jigsaw-sklearn-v1", "kernel_id": "23853608"}, {"ref": "harshbansal27/baseline-model-using-multinomialnb", "kernel_id": "23815619"}, {"ref": "tunminhhunh/0-816-jigsaw-inference", "kernel_id": "23661998"}, {"ref": "prashantpathak244/bert-model", "kernel_id": "23811235"}, {"ref": "ahmetarifturkmen/baseline-linear-regression", "kernel_id": "23866061"}, {"ref": "yisberh/jigsaw-ensemble-by-yis", "kernel_id": "23790532"}, {"ref": "thomasdubail/jigsaw-ensemble-best-public-sub-0-898", "kernel_id": "23952775"}, {"ref": "junior10/toxicity-level-using-fasttext-98-acc", "kernel_id": "23839065"}, {"ref": "junior10/toxicity-level-using-fasttext-98-acc-v2", "kernel_id": "23846747"}, {"ref": "taoufikelkhaouja/submition", "kernel_id": "23566529"}, {"ref": "yshiml/jigsaw-eda-baseline-for-beginners", "kernel_id": "23604589"}, {"ref": "qiongfeng/jigsaw-ensemble", "kernel_id": "23006026"}, {"ref": "nobatgeldi/jigsaw-ridge-ensemble-tfidf-fasttext", "kernel_id": "23654132"}, {"ref": "huntergregory/ranking-toxicity-of-wikipedia-comments-eda", "kernel_id": "23780414"}, {"ref": "athirakaladharan/toxic-comment-classification-logreg-distilbert", "kernel_id": "23910880"}, {"ref": "doohaejung/bert-end-to-end-baseline-3epochs-lb-0-723", "kernel_id": "23737172"}, {"ref": "yezyouo/naive-bayes-lightgbm-ridge", "kernel_id": "23641964"}, {"ref": "yezyouo/ridge-ensemble-with-data-augment", "kernel_id": "23684805"}, {"ref": "kiernanmcguigan/jigsaw-naivebayes", "kernel_id": "23956573"}, {"ref": "kiernanmcguigan/jigsaw-xgboostregressor", "kernel_id": "23955463"}, {"ref": "kiernanmcguigan/jigsaw-lstm", "kernel_id": "23957220"}, {"ref": "kiernanmcguigan/jigsaw-lstm-complex", "kernel_id": "23975855"}, {"ref": "shanlee199805/notebook2626287b95", "kernel_id": "23438622"}, {"ref": "learnitanyway/12th-solution-jrstc-tf-idf-and-fastai", "kernel_id": "23581400"}, {"ref": "renokan/toxic-comments-test-valid-data-by-detoxify-model", "kernel_id": "23920023"}, {"ref": "renokan/toxic-comments-sentimentintensityanalyzer-nltk", "kernel_id": "23961848"}, {"ref": "ayushsingh488/jigsaw-end-to-end-starter-code", "kernel_id": "23745866"}, {"ref": "danielbruintjies/flair-a-very-simple-framework-jigsaw", "kernel_id": "23742145"}, {"ref": "parikshitsharma2001/scaling-for-jigsaw-ensemble", "kernel_id": "23901122"}, {"ref": "parikshitsharma2001/ridge-fasttext-improved-roberta", "kernel_id": "23901559"}, {"ref": "bachngoh/jigsaw-ensemble-61th-place", "kernel_id": "23853129"}, {"ref": "xiaoruihuang/ridge-fasttext-improved-roberta", "kernel_id": "23744683"}, {"ref": "rounak02/toxicity-level-using-fasttext-98-acc-with-eda", "kernel_id": "23766900"}, {"ref": "hetvigandhi03/toxic-comments-with-lstm-cnn-and-fasttext", "kernel_id": "23772331"}, {"ref": "anshulmehtakaggl/time-series-with-tensorflow", "kernel_id": "23095518"}, {"ref": "zsofislosar/toxicity-data-prep", "kernel_id": "23775521"}, {"ref": "krist0phersmith/jigsaw-lb-distribution-by-kris-smith", "kernel_id": "23304919"}, {"ref": "toru59er/0-765-lightgbm-bert-simple-baseline", "kernel_id": "23398920"}, {"ref": "eileends/jigsaw-es", "kernel_id": "23832089"}, {"ref": "megaslav/pytorch-template-for-toxic-comments", "kernel_id": "23031663"}, {"ref": "jack0122/nchu-10", "kernel_id": "23987374"}, {"ref": "danielcwq/jigsaw-training-fastai-part-1-v1-1", "kernel_id": "23735949"}, {"ref": "danielcwq/jigsaw-ulm-fastai-predictions-submitter", "kernel_id": "23710910"}, {"ref": "lucamassaron/linear-svc-ranking-private-0-80436", "kernel_id": "24486091"}, {"ref": "cpmpml/best-cv", "kernel_id": "24513161"}, {"ref": "moenuddin/trying-pairwise", "kernel_id": "24333339"}, {"ref": "steubk/jrsotc-a-detoxify-solution-0-81299-3rd-place", "kernel_id": "24664790"}, {"ref": "steubk/jrsotc-fe-rud-2-linear-rank-sub-2", "kernel_id": "24463743"}, {"ref": "steubk/jrsotc-fe-rud-2-linear-rank-sub", "kernel_id": "24366976"}, {"ref": "prernahrmth/jigsaw-lstm-sigmoid-post-weight-802-private-lb", "kernel_id": "24311484"}, {"ref": "wowfattie/notebook9298460840", "kernel_id": "24473328"}, {"ref": "hisudha/toxic-hyper-params-v1", "kernel_id": "24399296"}, {"ref": "whitelily/late-sub", "kernel_id": "24501360"}, {"ref": "maruyama/detoxify-unbiased-train-0-80476-private", "kernel_id": "24020658"}, {"ref": "maruyama/detoxify-unbiased-infer-0-80476-private", "kernel_id": "24026186"}, {"ref": "jery33/nltk-vader-baseline", "kernel_id": "24095083"}, {"ref": "vslaykovsky/gpt-3-embeddings", "kernel_id": "24292528"}, {"ref": "dzisandy/easy-bert-based-models-blending-private-0-79641", "kernel_id": "24368097"}, {"ref": "alexander1980/best-cv-ens", "kernel_id": "24305685"}, {"ref": "vineethakkinapalli/jigsaw-hatebert-inference", "kernel_id": "24357315"}, {"ref": "julian3833/jigsaw-jeremy-howard-s-nb-0-79744-private", "kernel_id": "24502020"}, {"ref": "skiller/classical-ensemble-model-0-8", "kernel_id": "24259855"}, {"ref": "skiller/torch-ensemble-model-0-804", "kernel_id": "24444368"}, {"ref": "skiller/finding-best-params-0-8-using-this", "kernel_id": "24506013"}, {"ref": "sklasfeld/jigsaw-tfidf-sentence-embedding-and-xgboost", "kernel_id": "24033744"}, {"ref": "wuyhbb/deberta-jigsaw-inference", "kernel_id": "24580063"}, {"ref": "alturutin/inference-private-0-8128", "kernel_id": "24119713"}, {"ref": "kpriyanshu256/inf-jigsaw-roberta-base-300-overfit-ridge", "kernel_id": "24449213"}, {"ref": "coreacasa/jigsaw4-checkup-reproducibility-4th-place-solution", "kernel_id": "24617452"}, {"ref": "coreacasa/jigsaw4-checkup-randomness-4th-place-solution", "kernel_id": "24622669"}, {"ref": "coreacasa/jigsaw4-luke-base-large-tito-cv-merging-optimize", "kernel_id": "24579138"}, {"ref": "coreacasa/jigsaw4-luke-large-training-tito-cv-strategy", "kernel_id": "24434176"}, {"ref": "coreacasa/jigsaw4-luke-base-training-tito-cv-strategy", "kernel_id": "24433726"}, {"ref": "coreacasa/jigsaw4-merging-luke-roberta-with-detoxify", "kernel_id": "24432715"}, {"ref": "crischir/inter-annotator-agreement-test-model", "kernel_id": "24165970"}, {"ref": "crischir/auto-keras-text-regression-cpu", "kernel_id": "24022987"}, {"ref": "crischir/jigsaw-a-fake-annotator", "kernel_id": "24129495"}, {"ref": "crischir/auto-keras-text-regression", "kernel_id": "24104090"}, {"ref": "crischir/text-regression-cpu", "kernel_id": "24081530"}, {"ref": "crischir/ktrain-classification-simple", "kernel_id": "24455814"}, {"ref": "crischir/ktrain-regression-transformer", "kernel_id": "24464219"}, {"ref": "crischir/ktrain-regression-simple", "kernel_id": "24443917"}, {"ref": "tenffe/very-simple-code-with-stop-words", "kernel_id": "24046419"}, {"ref": "naoism/jigsaw2021-pseudo-context-toxicity", "kernel_id": "24644049"}, {"ref": "eligijus/toxicity-grid-search-xgboost-model", "kernel_id": "24174470"}, {"ref": "eligijus/toxicity-using-embeddings-and-xgboost-and-cv", "kernel_id": "24281099"}, {"ref": "marcogorelli/optimised-detoxify", "kernel_id": "24439255"}, {"ref": "cdeotte/rapids-xgb-fil-silver-medal-infer-0-804", "kernel_id": "24501514"}, {"ref": "cdeotte/rapids-xgb-fil-silver-medal-train-0-804", "kernel_id": "24500896"}, {"ref": "shenurisumanasekara/jigsaw-toxic-comment", "kernel_id": "24181850"}, {"ref": "kaerunantoka/jigsaw4-create-additional-pair-w-jigsaw1", "kernel_id": "24449779"}, {"ref": "kaerunantoka/jigsaw4-ensemble-v27", "kernel_id": "24489740"}, {"ref": "kaerunantoka/jigsaw4-ensemble-v27-cv", "kernel_id": "24489322"}, {"ref": "trevorfrench/comment-toxicity", "kernel_id": "24194516"}, {"ref": "ryo1993/mogmog-train-13", "kernel_id": "24818439"}, {"ref": "ryo1993/roberta-001-train-jigsaw2", "kernel_id": "24815025"}, {"ref": "ryo1993/mogmog-train-12", "kernel_id": "24818380"}, {"ref": "ryo1993/inference-krkm-final-001", "kernel_id": "24819862"}, {"ref": "palash97/bert-pytorch-inference", "kernel_id": "24278377"}, {"ref": "yanhf16/0-9-try-better-parameters-better-score", "kernel_id": "24177272"}, {"ref": "yanhf16/private-0-8061-huggingface-is-enough", "kernel_id": "24500442"}, {"ref": "sinking8/roberta", "kernel_id": "24144397"}, {"ref": "sahib12/highest-score-jigsaw-0-90", "kernel_id": "24184504"}, {"ref": "andre112/0-826-hate-speech-ridgeregression-ensemble", "kernel_id": "24045966"}, {"ref": "aleron751/roberta-base-multi-classifier", "kernel_id": "24134548"}, {"ref": "aleron751/feature-enginerring-ridge", "kernel_id": "24285494"}, {"ref": "columbia2131/jigsaw-exp019-toxic-xlm-roberta", "kernel_id": "24426122"}, {"ref": "columbia2131/jigsaw-team-ensemble-006-fix", "kernel_id": "24483750"}, {"ref": "columbia2131/jigsaw-multilingual-toxic-xlm-roberta", "kernel_id": "24436175"}, {"ref": "sytuannguyen/overfitting-lb-is-easier-than-solving-the-problem", "kernel_id": "24203019"}, {"ref": "readoc/toxic-final-ensemble-submission", "kernel_id": "24313671"}, {"ref": "arronlacey/random-forest-w-glove-kmeans-compression", "kernel_id": "24479750"}, {"ref": "cyrillechampion/notebooktoxic", "kernel_id": "24263735"}, {"ref": "quamarequbal/jigsaw-rate-severity-of-toxic-comments", "kernel_id": "24306432"}, {"ref": "mikhalil/huggingface-distilbertclassification-starter", "kernel_id": "24886760"}, {"ref": "kousairikuri/baseline-random", "kernel_id": "24026022"}, {"ref": "kengofujii/notebookfd639f4342", "kernel_id": "24434186"}, {"ref": "kengofujii/fork-of-fork-of-fork-of-final-merge-ef903e-512246", "kernel_id": "24450227"}, {"ref": "kengofujii/lgbm-ridge-kfksy-final", "kernel_id": "24536041"}, {"ref": "kengofujii/final-validation-data-kfsky", "kernel_id": "24540105"}, {"ref": "ilosvigil/jigsaw-train-debertav3-pytorch-lightning", "kernel_id": "24381771"}, {"ref": "ilosvigil/jigsaw-infer-debertav3-pytorch-lightning", "kernel_id": "24404868"}, {"ref": "ptrikp/fork-of-jigsaw-tfidf-pipeline-c5454c", "kernel_id": "24491029"}, {"ref": "yangjieleo/pytorch-w-b-jigsaw-starter-5fol", "kernel_id": "24225020"}, {"ref": "juliarty/bert-huggingface-tf-idf-jigsaw-toxic", "kernel_id": "24147215"}, {"ref": "arunkumar1809/ensemble", "kernel_id": "24114226"}, {"ref": "teyosan1229/jigsaw4-inference3-and-overfit", "kernel_id": "24486184"}, {"ref": "bhavinmoriya/rapids-xgb-fil-silver-medal-infer-0-804", "kernel_id": "24951526"}, {"ref": "darknesszx/overfitting-lb-is-easier-than-solving-the-problem", "kernel_id": "24208858"}, {"ref": "toshihikok/113th-solution", "kernel_id": "24660274"}, {"ref": "leolu1998/hatebert-only-1-epoch-infer-silver-medal", "kernel_id": "24317104"}, {"ref": "mst8823/deberta-v3-large-private-0-814", "kernel_id": "24336075"}, {"ref": "mst8823/pseudo-labeling-001-code-fit", "kernel_id": "24437023"}, {"ref": "kottoz/jigsaw-ensemble-0-864", "kernel_id": "24398381"}, {"ref": "subhankar007/jigsaw-toxicity-ensemble-score-0-81745", "kernel_id": "24507032"}, {"ref": "shigeria/jigsaw-data-augmentation-using-tree", "kernel_id": "24122574"}, {"ref": "huntergregory/jigsaw-ridge-regression", "kernel_id": "24375971"}, {"ref": "vitkishloh228/fork-of-fork-of-w2v-tries", "kernel_id": "24454706"}, {"ref": "panshaohua/very-simple-code", "kernel_id": "24043338"}, {"ref": "estebanmarcelloni/jigsaw-toxic-rating-using-setence2vector", "kernel_id": "24248882"}, {"ref": "mujrush/inference-lucky-45th-solution-private-lb-0-80544", "kernel_id": "24473064"}, {"ref": "mujrush/reliable-validation-data-by-sentence-transformers", "kernel_id": "24160379"}, {"ref": "alexiscol/keras-embedding-lstm", "kernel_id": "24219808"}, {"ref": "renokan/toxic-comments-tag-word-analysis-not-stopwords", "kernel_id": "24158162"}, {"ref": "renokan/toxic-comments-tag-word-analysis-and-stopwords", "kernel_id": "24157341"}, {"ref": "renokan/duplicates-50-60-in-validation-data", "kernel_id": "24260811"}, {"ref": "renokan/toxic-comments-using-detoxify-model", "kernel_id": "24444898"}, {"ref": "renokan/toxic-comments-using-gridsearch-ridge", "kernel_id": "24399570"}, {"ref": "renokan/toxic-comments-get-predicts-by-detoxify-model", "kernel_id": "24347624"}, {"ref": "shiv28/jigsaw", "kernel_id": "24093542"}, {"ref": "antoinemaby/test-notebook", "kernel_id": "24241676"}, {"ref": "bachngoh/using-detoxify-in-offline-mode-0-808-private-lb", "kernel_id": "24329928"}, {"ref": "aishikai/js-final-ensemble-0-813-lb-0-839-cv", "kernel_id": "24495259"}, {"ref": "kmakmar/external-data-ridge", "kernel_id": "24431112"}, {"ref": "kmakmar/1st-ruddit", "kernel_id": "24537277"}, {"ref": "mdbodrulalam/measure-rate-severity-with-hate-speech", "kernel_id": "24462236"}, {"ref": "mdbodrulalam/rate-severity-using-multiple-ml-solution", "kernel_id": "24484415"}, {"ref": "crimsonjink/transformers", "kernel_id": "24303936"}, {"ref": "bachan/jigsaw-toxic-severity-rating-0-79874-private-lb", "kernel_id": "24383958"}, {"ref": "vaincookie/how-to-use-optuna-to-get-best-cv-score", "kernel_id": "24523713"}, {"ref": "maryragozina/how-to-deal-with-toxic-comments-857b51", "kernel_id": "24008484"}, {"ref": "maryragozina/scaling", "kernel_id": "24008613"}, {"ref": "maryragozina/very-simple-code", "kernel_id": "24057086"}, {"ref": "zsofislosar/toxicity-distilbert-dataset-1", "kernel_id": "24384916"}, {"ref": "eileends/jigsaw-model-selection", "kernel_id": "24012503"}, {"ref": "yaremamishchenko/jigsaw-ridge-ensemble-tfidf-fasttext-0-868", "kernel_id": "24116290"}, {"ref": "yaremamishchenko/gd-lvds-final-inference", "kernel_id": "24494668"}, {"ref": "mfsher/mxfsher-kaggle-competition", "kernel_id": "24561967"}, {"ref": "datalit/jigsaw-robert-0-8125-private-lb", "kernel_id": "24503175"}, {"ref": "lllljm/jigsaw-comment-toxicity-tf-xlnet", "kernel_id": "24148212"}, {"ref": "justinlai8e7/bert-toxicity-rating", "kernel_id": "24661289"}, {"ref": "hengwdai/nlp-feature", "kernel_id": "25715691"}, {"ref": "jamalrebii/eda-model-lstm-cnn-regression-for-jigsaw", "kernel_id": "26268249"}, {"ref": "shreyasadhari123/toxicity-ranking", "kernel_id": "26317243"}, {"ref": "oadeclerk/prueba-text-mining-ale", "kernel_id": "27342950"}, {"ref": "fernandopronello/prueba-text-mining-fer", "kernel_id": "27373637"}, {"ref": "whitelily/notebook-for-article", "kernel_id": "28521093"}, {"ref": "prabhatchowdhary/toxicity-checker", "kernel_id": "30242568"}, {"ref": "jiegao1995/jigsaw-deberta-v3-base-train-model-3", "kernel_id": "31854361"}, {"ref": "shaqiavelli/reddit-comment-extraction", "kernel_id": "31914940"}, {"ref": "gazu468/all-about-bert-you-need-to-know", "kernel_id": "32665951"}, {"ref": "chandrareddy313213/nlp-jigsaw-mindful-words-eda-tf-idf-svm", "kernel_id": "32075058"}, {"ref": "ankitsoni0605/jrstc-eda-b5edcc", "kernel_id": "32053179"}, {"ref": "harikeshpratapsingh7/only-machine-learning-0-80054-private-score", "kernel_id": "33037458"}, {"ref": "rishishounak/linregtox2", "kernel_id": "34680284"}, {"ref": "h3103patilprasad/jigsaw", "kernel_id": "36234256"}, {"ref": "saanvinaik/bi-project-group1", "kernel_id": "37618333"}, {"ref": "saanvinaik/jigsaw", "kernel_id": "37608475"}, {"ref": "krist0phersmith/build-a-minigpt-for-text-generation", "kernel_id": "40376900"}, {"ref": "mohammadrezabb/jigsaw-severity-simple", "kernel_id": "40605732"}, {"ref": "yeayates21/fork1-of-jigsaw-rate-severity-simple-lstm", "kernel_id": "41465066"}, {"ref": "sowmyasamantula/jigsaw-all-competition-eda-at-one-place-model", "kernel_id": "42870842"}, {"ref": "shido49221/maxky-jrstc-autonlp-ipynb", "kernel_id": "47716655"}, {"ref": "youssefshaaban/notebook02e90c63b3", "kernel_id": "48649231"}, {"ref": "yousefadham/deep-phase-3", "kernel_id": "48446658"}, {"ref": "yousefadham/working-hatebert", "kernel_id": "48839668"}, {"ref": "harshraj1111/bert-toxicity-rating", "kernel_id": "52317339"}, {"ref": "shadesh/jigsaw-rate-severity-of-toxic-comments-nlp", "kernel_id": "54152820"}, {"ref": "provia/pytorch-w-b-jigsaw-starter", "kernel_id": "56768861"}, {"ref": "ashenafigurmu/jigsaw-rate-severity-of-toxic-comments-nlp", "kernel_id": "63237077"}, {"ref": "minihihihaha/jigsaw-bert-tftransformers-baseline", "kernel_id": "73449924"}, {"ref": "sagilforever/jigsaw-rate-severity-of-toxic-comments", "kernel_id": "82146857"}, {"ref": "alex56mod/nlp-jigsaw-toxicity-debra-v3-large-fin", "kernel_id": "83154645"}, {"ref": "cynthiarempel1234/see-output-two-models-random-seeds", "kernel_id": "90172446"}, {"ref": "nguyenquangthinhus/simple-deberta-pipeline", "kernel_id": "104253182"}, {"ref": "taseensadatteam/jigsaw-ensemble-tfidf-bert", "kernel_id": "106993004"}]}
{"competition_id": "27936", "kernels": []}
{"competition_id": "27941", "kernels": []}
{"competition_id": "27942", "kernels": [{"ref": "pavelozernov/cifar-10", "kernel_id": "17039394"}]}
{"competition_id": "27945", "kernels": []}
{"competition_id": "27949", "kernels": []}
{"competition_id": "27960", "kernels": [{"ref": "youseefmoemen/approaching-cifar-10", "kernel_id": "24417722"}, {"ref": "keerthanas57/cifar10-hw-87", "kernel_id": "63339496"}]}
{"competition_id": "27962", "kernels": [{"ref": "igormunizims/baseline-first-steps", "kernel_id": "16998979"}, {"ref": "joaoluizsouzatorres/deep-learning-fasam-turma-7-magic-the-gathering", "kernel_id": "17003875"}, {"ref": "luannoleto/magic-deep-learning", "kernel_id": "17023472"}, {"ref": "eduardoakira/deep-learning-fasam-7-magic", "kernel_id": "18318635"}]}
{"competition_id": "27969", "kernels": []}
{"competition_id": "27971", "kernels": []}
{"competition_id": "27989", "kernels": [{"ref": "panjapong/data-model-ddos", "kernel_id": "117072105"}, {"ref": "panjapong/datamode-ddos-cicids2017-1m", "kernel_id": "117381855"}]}
{"competition_id": "27992", "kernels": []}
{"competition_id": "27994", "kernels": []}
{"competition_id": "28000", "kernels": []}
{"competition_id": "28003", "kernels": []}
{"competition_id": "28007", "kernels": [{"ref": "desalegngeb/bokeh-visualization-library-guide-for-beginners", "kernel_id": "17038587"}, {"ref": "alexryzhkov/tps-lightautoml-baseline-with-pseudolabels", "kernel_id": "18406248"}, {"ref": "alexryzhkov/tps-july-21-lightautoml-baseline", "kernel_id": "18402214"}, {"ref": "rohanrao/automl-tutorial-tps-july-2021", "kernel_id": "18262406"}, {"ref": "skappal7/fun-eda-prediction-activity", "kernel_id": "18293246"}, {"ref": "paddykb/tps-07-turtles-on-turtles", "kernel_id": "18503276"}, {"ref": "paddykb/tps-07-on-the-shoulders-of-giants", "kernel_id": "18592324"}, {"ref": "paddykb/tps-07-gam-baseline", "kernel_id": "18264443"}, {"ref": "dwin183287/tps-july-2021-eda", "kernel_id": "18280567"}, {"ref": "arnabbiswas1/visualizing-seasonality-with-w-o-statistics", "kernel_id": "18545452"}, {"ref": "shrutisaxena/tps-july-2021-automl-and-eda", "kernel_id": "18329089"}, {"ref": "jsmithperera/model-v2", "kernel_id": "18953124"}, {"ref": "jsmithperera/tps-july-xgboost-optuna-5-fold", "kernel_id": "18282871"}, {"ref": "tomwarrens/tps-july-2021-full-eda", "kernel_id": "18265434"}, {"ref": "mike123/using-pycaret-catboost-catboost-catboost", "kernel_id": "18913954"}, {"ref": "mohdali231993/tabularseriesjuly-eda-initialmodels", "kernel_id": "18433066"}, {"ref": "parulpandey/explainable-boosting-machines-for-tabular-data", "kernel_id": "18311337"}, {"ref": "parulpandey/tensors-are-all-you-need", "kernel_id": "18597573"}, {"ref": "leeguanhua/david-s-eda-tabular-playground-series-july-2021", "kernel_id": "18479662"}, {"ref": "tunguz/tps-7-21-h2o-automl-target-benzene", "kernel_id": "18648754"}, {"ref": "tunguz/tps-7-21-h2o-automl-target-carbon-monoxide", "kernel_id": "18648898"}, {"ref": "tunguz/tps-7-21-h2o-automl-target-nitrogen-oxides", "kernel_id": "18648937"}, {"ref": "tunguz/tps-7-21-h2o-combiner", "kernel_id": "18649043"}, {"ref": "tunguz/adversarial-tps-july-2021", "kernel_id": "18412340"}, {"ref": "tunguz/tps-07-21-simple-linear-baseline", "kernel_id": "18256997"}, {"ref": "tunguz/tps-07-21-simple-histgradientboosting-regressor", "kernel_id": "18702811"}, {"ref": "tunguz/last-place-solution-tps-07-2021", "kernel_id": "18749840"}, {"ref": "aayush26/simple-average-weighted-ensemble", "kernel_id": "18347875"}, {"ref": "aayush26/tps-july-2021-auto-gluon", "kernel_id": "18325013"}, {"ref": "pratikkgandhi/baseline-lgb-model", "kernel_id": "18256833"}, {"ref": "rohan1991/initial-analysis-automl-tps-jul-21", "kernel_id": "18290422"}, {"ref": "monogenea/tps-jul-2021-gradient-boosting", "kernel_id": "18695350"}, {"ref": "rsesha/july-tps-deep-autoviml-score-0-60", "kernel_id": "18281748"}, {"ref": "rsesha/july-tps-auto-time-series-score-0-40", "kernel_id": "18302788"}, {"ref": "rsesha/july-tps-feature-engg-score-0-39", "kernel_id": "18456820"}, {"ref": "jonigooner/random-forest-fine-tunning", "kernel_id": "18296578"}, {"ref": "jonigooner/tensorflow-random-forest", "kernel_id": "18388538"}, {"ref": "jabertuhin/try-different-models-beginner-approach", "kernel_id": "18788370"}, {"ref": "jabertuhin/automl-with-flaml", "kernel_id": "18906766"}, {"ref": "zsarahz/kaggle-shorts-the-fastest-way-to-do-eda", "kernel_id": "18374247"}, {"ref": "akashanair92/air-pollution-measurements-lgbm-july", "kernel_id": "18959608"}, {"ref": "dsantiago/tps-07-yet-another-lstm", "kernel_id": "18537404"}, {"ref": "gsdeepakkumar/tps-july-simple-eda-and-dirty-model", "kernel_id": "18281179"}, {"ref": "ottpocket/july-eda", "kernel_id": "18626691"}, {"ref": "gomes555/tps-jul2021-r-anomaly-detection-bayesopt-lightgbm", "kernel_id": "18310126"}, {"ref": "gomes555/tps-jul2021-r-basic-cv-prophetcatboost", "kernel_id": "18256675"}, {"ref": "gomes555/tps-jul2021-r-gamlss-statistical-modelling", "kernel_id": "18566281"}, {"ref": "bastian1206/tps-july-learning-from-the-past-arimax", "kernel_id": "18554753"}, {"ref": "bastian1206/tps-july-rf-with-timecv-feature-engineering", "kernel_id": "18455387"}, {"ref": "anishjosh/catboost-0-24-eda-heuristics", "kernel_id": "18356040"}, {"ref": "anishjosh/starter-eda-playground", "kernel_id": "18338474"}, {"ref": "ajaysamp/tab-july-full-eda", "kernel_id": "18422624"}, {"ref": "docxian/tabular-playground-7-visualization-baseline", "kernel_id": "18286778"}, {"ref": "tzethoven/playground-july-2021-final", "kernel_id": "18886366"}, {"ref": "onielg/simplecatboostwithclassifierchains", "kernel_id": "18547895"}, {"ref": "rajatpaliwal02/tps07-fastai-nn", "kernel_id": "18324045"}, {"ref": "rajatpaliwal02/tps-july-fastai-decision-tress-random-forset", "kernel_id": "18301735"}, {"ref": "sayancht92/basic-eda-xgboost-catboost-prophet", "kernel_id": "18286273"}, {"ref": "sayancht92/basic-eda-with-xgboost-tps-july", "kernel_id": "18282763"}, {"ref": "caiquefcoelho/tabular-playground-may-july", "kernel_id": "18590997"}, {"ref": "horohoro/simple-linearregression", "kernel_id": "18267377"}, {"ref": "maheshmj007/tabular-playground-series-jul-2021-first-submit", "kernel_id": "18596609"}, {"ref": "revathiprakash/tpa-jul-2021-automl-model-explainability", "kernel_id": "18269332"}, {"ref": "mohameddhameem/automl-with-pycaret-and-custom-featureextraction", "kernel_id": "18641443"}, {"ref": "tun000/tps-july-2021-holiday-feature", "kernel_id": "18350392"}, {"ref": "arindam235/tabular-playground-jul2021", "kernel_id": "18828424"}, {"ref": "pravali/tps-july-keras-tuner", "kernel_id": "18568554"}, {"ref": "ankitp013/tps-july-eda-lgbm-models", "kernel_id": "18398345"}, {"ref": "markbquant/lgbm-regressorchain-bayesianoptimisation-stacking", "kernel_id": "18801468"}, {"ref": "brookie210/linear-regression-baseline-eda-tps-july-2021", "kernel_id": "18259470"}, {"ref": "kppetrov/tps-jul-2021-baseline-with-nusvr-model", "kernel_id": "18257095"}, {"ref": "kaustubh93/baseline-eda-tps-07", "kernel_id": "18256686"}, {"ref": "kaustubh93/baseline-eda-catboost-ridge-tps-07", "kernel_id": "18256985"}, {"ref": "johnysinsdota/time-series-analytics-h2oautoml", "kernel_id": "18569393"}, {"ref": "johnysinsdota/catboost-feature-engineering-date-time-c-degrees", "kernel_id": "18613875"}, {"ref": "batprem/eda-preprocessing-pipeline-and-submission", "kernel_id": "18496005"}, {"ref": "batprem/more-feature-selection-and-model-back-testing", "kernel_id": "18518015"}, {"ref": "nancydrew/basic-eda-and-xgboost-for-tps-july-2021", "kernel_id": "18320110"}, {"ref": "josepc/playground-july-sarima", "kernel_id": "18286414"}, {"ref": "josepc/playground-july-neural-networks", "kernel_id": "18377292"}, {"ref": "josepc/playground-july-exogenous-variables", "kernel_id": "18336626"}, {"ref": "lokesharya99/tps-jul-21-data-exploration", "kernel_id": "18339301"}, {"ref": "cashmesh/simple-ann-approach-0-275", "kernel_id": "18407201"}, {"ref": "godzill22/tps-07-simply-rnn-stacked-lstm-autoencoder", "kernel_id": "18554097"}, {"ref": "godzill22/tps-07-eda-statistical-analysis", "kernel_id": "18275728"}, {"ref": "faelk8/tps-jul-2021-air-pollution", "kernel_id": "18442920"}, {"ref": "cjd913/some-visualization-practice-using-altair", "kernel_id": "18402883"}, {"ref": "stpeteishii/tps0721-xgboost-optuna", "kernel_id": "18319359"}, {"ref": "stpeteishii/tps0721-lightbgm-visualize-importance", "kernel_id": "18261372"}, {"ref": "stpeteishii/tpg0721-eda-by-autoviz", "kernel_id": "18281999"}, {"ref": "stpeteishii/tps0721-lightgbm-optuna", "kernel_id": "18290827"}, {"ref": "pahandrovich/tps-jul-2021-fast-randomforest-with-sklearnex", "kernel_id": "18267155"}, {"ref": "aerdem/tps-jul-lgbmregressor-optuna", "kernel_id": "18357308"}, {"ref": "jarupula/tps-july-21", "kernel_id": "18265764"}, {"ref": "sherrygow/tabular-july-pycaret", "kernel_id": "18534975"}, {"ref": "mpwolke/dominance-analysis-tab-july-2021", "kernel_id": "18281436"}, {"ref": "imad2b/simple-random-forest-approach", "kernel_id": "18584731"}, {"ref": "jluza92/tps-xgbregressor-vs-multi-output-neural-network", "kernel_id": "18275554"}, {"ref": "nacmarino/tps202107-mlp4ts", "kernel_id": "18562003"}, {"ref": "azwan92/predict-using-random-forest-regressor-with-default", "kernel_id": "18850880"}, {"ref": "sureshmecad/tps-july21-h20-automl", "kernel_id": "18283279"}, {"ref": "anurag1817/tabular-playground-series-jul-2021", "kernel_id": "18756876"}, {"ref": "elakapoor/july-kaggle-playground", "kernel_id": "18827323"}, {"ref": "kamaljp/tabular-data-competition", "kernel_id": "18507898"}, {"ref": "timothyabwao/tps-07-2021-extra-trees-regression-model", "kernel_id": "18265640"}, {"ref": "prudhvinagula/five-regression-models", "kernel_id": "18928545"}, {"ref": "sahib12/stacking", "kernel_id": "18340290"}, {"ref": "sahib12/simple-stacking-lgbm-models", "kernel_id": "18396582"}, {"ref": "dipromondal/tabular-playground-linear-regression", "kernel_id": "18267046"}, {"ref": "andy6804tw/tps-07-21-eda-xgboost-13features", "kernel_id": "18371465"}, {"ref": "andy6804tw/predicting-the-values-of-air-pollution-xgboost", "kernel_id": "18347335"}, {"ref": "andy6804tw/catboost-18feature-cross-validation", "kernel_id": "18476861"}, {"ref": "andy6804tw/xgboost-11feature-leaveonegroupout", "kernel_id": "18484795"}, {"ref": "the0electronic0guy/visualization-basic-neural-net-score-0-3694", "kernel_id": "18324620"}, {"ref": "tetsuya777/tps-july-first-model-lightgbm-ipynb", "kernel_id": "18376052"}, {"ref": "tarunbisht11/tabular-playground-series-jul-2021", "kernel_id": "18467475"}, {"ref": "tarunbisht11/tabular-playground-using-deep-learning", "kernel_id": "18964729"}, {"ref": "valmetisrinivas/tabular-playground-series-jul-2021-eda-vs", "kernel_id": "18446575"}, {"ref": "alexlichtenberg/playground-notebook", "kernel_id": "18495214"}, {"ref": "mayankvashisht/pollution-data-predictive-model", "kernel_id": "18401164"}, {"ref": "emrearuk/tabular-playground-series-xgbregressor-gridsearch", "kernel_id": "18682184"}, {"ref": "phileinsophos/tabular-data-july-2021", "kernel_id": "18527870"}, {"ref": "rakinaljubair/tabular-prediction-using-basic-nn", "kernel_id": "18341605"}, {"ref": "melanie7744/tps7-interactive-eda-with-plotly", "kernel_id": "18418531"}, {"ref": "melanie7744/tps7-tuned-xgb-graphic-validation", "kernel_id": "18463870"}, {"ref": "melanie7744/tps7-don-t-ask-the-prophet", "kernel_id": "18546514"}, {"ref": "amritpal333/eda-extra-data-autogluon", "kernel_id": "18398038"}, {"ref": "amritpal333/tps-autogluon-baseline", "kernel_id": "18323431"}, {"ref": "maksymshkliarevskyi/tps-july-eda-baseline-analysis-xgbregressor", "kernel_id": "18256672"}, {"ref": "tensorchoko/tabular-playground", "kernel_id": "18349810"}, {"ref": "lukaszborecki/tensorflow-lstm-with-fold-5-benzene", "kernel_id": "18285542"}, {"ref": "keysersoze309/tps-jul-2021-single-catboost-model", "kernel_id": "18778144"}, {"ref": "amarloni/fork-of-july-playground", "kernel_id": "18712555"}, {"ref": "adityab19/eda-average-weighted-ensemble", "kernel_id": "18725694"}, {"ref": "ryanglasnapp/july-2021-tps-support-vector-regression", "kernel_id": "18536817"}, {"ref": "bernhardklinger/tps-july-fast-ai", "kernel_id": "18386569"}, {"ref": "subhomajumder/notebook3e4903b1a0", "kernel_id": "18798289"}, {"ref": "mehrankazeminia/1-tps-jul-21-xgboost-leaveonegroupout", "kernel_id": "18373210"}, {"ref": "mehrankazeminia/2-tps-jul-21-smart-ensembling", "kernel_id": "18396130"}, {"ref": "akioonodera/tps-july2021-lgbm-regression", "kernel_id": "18257413"}, {"ref": "akioonodera/tps-july2021-simple-lightgbm", "kernel_id": "18437537"}, {"ref": "frankmollard/tps-eda-lstm-pseudolabels-interpolate", "kernel_id": "18264046"}, {"ref": "frankmollard/efficientnetb7-weaving-pattern-pseudolabels", "kernel_id": "18325220"}, {"ref": "yasserhessein/tabular-playground-with-sweetviz-h2o-gbm-xgb", "kernel_id": "18268777"}, {"ref": "himankkavathekar/tps-july-xgboost-with-feature-engineering", "kernel_id": "18612316"}, {"ref": "himankkavathekar/tps-july-neuralnet", "kernel_id": "18822322"}, {"ref": "sohommajumder21/tps-july-2021-eda-visulaizations-predictions", "kernel_id": "18257927"}, {"ref": "viktorurushkin/naive-svr", "kernel_id": "18368860"}, {"ref": "suddhasatwabhaumik/tabular-playground-july-2021", "kernel_id": "18357813"}, {"ref": "bextuychiev/every-pandas-function-to-manipulate-time-series", "kernel_id": "18466860"}, {"ref": "bextuychiev/advanced-time-series-analysis-decomposition", "kernel_id": "18552057"}, {"ref": "bextuychiev/how-to-detect-white-noise-and-random-walks-in-ts", "kernel_id": "18616439"}, {"ref": "bextuychiev/how-to-remove-non-stationarity-from-time-series", "kernel_id": "18640863"}, {"ref": "bextuychiev/no-bs-guide-to-hyperparameter-tuning-with-optuna", "kernel_id": "18951360"}, {"ref": "bextuychiev/20-burning-xgboost-faqs-answered-to-use-like-a-pro", "kernel_id": "18852222"}, {"ref": "taha07/tps-july-eda-with-baseline", "kernel_id": "18285376"}, {"ref": "vernondsouza123/analysis-of-air-pollution", "kernel_id": "18292206"}, {"ref": "remekkinas/lstm-seq2seq-encoder-decoder", "kernel_id": "18288359"}, {"ref": "remekkinas/mljar-code-minimal", "kernel_id": "18354478"}, {"ref": "remekkinas/tps-7-ensemble-stacking-meta-regressor", "kernel_id": "18447390"}, {"ref": "ranjeetshrivastav/tps-sep-21-eda-lightgbm", "kernel_id": "18263231"}, {"ref": "debarshichanda/tps-july-xgboost-optuna-5-fold", "kernel_id": "18268948"}, {"ref": "saotome/automl-h2o-basemodel", "kernel_id": "18591227"}, {"ref": "saotome/pycaret-catboosting-1", "kernel_id": "18365544"}, {"ref": "saotome/baselinemodel-for-prophet", "kernel_id": "18257876"}, {"ref": "nephesd/tps-july-fbprophet-baseline", "kernel_id": "18321954"}, {"ref": "khushishahh/eda-and-lgbm", "kernel_id": "18527553"}, {"ref": "mohitkushwah/feedforwardnetwork", "kernel_id": "18471047"}, {"ref": "yvamshivardhan/gradient-boost-regressor", "kernel_id": "18446959"}, {"ref": "sudharshanravi/playgroundseries-july2020", "kernel_id": "18811799"}, {"ref": "ilikedeeplearning/tabular-playground-xgboost-v1", "kernel_id": "18360317"}, {"ref": "bhavinmoriya/tabular-playground-catboost", "kernel_id": "18513526"}, {"ref": "akhil14shukla/tabular-playground-jul-21", "kernel_id": "18983546"}, {"ref": "hakanerdogan/tps-july-2021-simple-fast-code", "kernel_id": "18294648"}, {"ref": "rajat95gupta/autogluon-lightautoml", "kernel_id": "18396522"}, {"ref": "bakar31/tps-jul-eda-h2oautoml", "kernel_id": "18320270"}, {"ref": "munumbutt/tps-optuna-tuned-xgboost", "kernel_id": "18267107"}, {"ref": "munumbutt/tps-autokeras-auto-neural-network", "kernel_id": "18272596"}, {"ref": "bruceharold/bad-sensor-values", "kernel_id": "18429346"}, {"ref": "tracyporter/jul-21-mlpr-reg-chain", "kernel_id": "18271234"}, {"ref": "tracyporter/jul-21-mars-reg-chain", "kernel_id": "18288993"}, {"ref": "rushikeshdarge/tps-july21-baseline-linear-regression", "kernel_id": "18280237"}, {"ref": "reymaster/july-2021-tps-xgboost-feature-engineering", "kernel_id": "18448462"}, {"ref": "amiteshgangrade/gradient-boosting-algo", "kernel_id": "18382194"}, {"ref": "amiteshgangrade/average-of-random-forest-and-gradient-boosting", "kernel_id": "18399562"}, {"ref": "sauravjoshi23/tps-july2021-all-models", "kernel_id": "18368125"}, {"ref": "sabyasachi96/tps-july2021-ridge-regression", "kernel_id": "18944595"}, {"ref": "sabyasachi96/tps-july-simple-sarima-model", "kernel_id": "18818183"}, {"ref": "desalegngeb/july-tps-eda-and-data-visualizations", "kernel_id": "18257577"}, {"ref": "yekahaaagayeham/air-pollution-visualization-prediction", "kernel_id": "18931432"}, {"ref": "padalatejasaikumar/simple-tps-july-2021", "kernel_id": "18261342"}, {"ref": "mdmustafijurrahman/tabular-series-july-21", "kernel_id": "18357403"}, {"ref": "hirazawahiroshi/jul-2021-simple-baseline-lgbm", "kernel_id": "18717977"}, {"ref": "hirazawahiroshi/jul-2021-simple-baseline-xgboost", "kernel_id": "18506994"}, {"ref": "aiadasaad/neural-network", "kernel_id": "18642000"}, {"ref": "hynsh96/tps-jul-2021-basic-regression-modeling", "kernel_id": "18262551"}, {"ref": "hynsh96/tps-jul-2021-arima-no-features", "kernel_id": "18259980"}, {"ref": "davidjlochner/vector-autoreg-lgb", "kernel_id": "18504639"}, {"ref": "mhslearner/starter-simple-models-xgb-lgb-cat", "kernel_id": "18269141"}, {"ref": "vickz53/tabularjuly2021multiouputchainregression", "kernel_id": "18953990"}, {"ref": "vickz53/tabularjuly2021", "kernel_id": "18824326"}, {"ref": "alekseyromanovich/leaked-data", "kernel_id": "18666993"}, {"ref": "yogaram/tabular-playground-submission", "kernel_id": "18956125"}, {"ref": "yus002/expanding-window-sliding-window-practice", "kernel_id": "18307870"}, {"ref": "yus002/auto-arima-forecast-with-no-features", "kernel_id": "18257539"}, {"ref": "yus002/tps-july-will-i-overfit", "kernel_id": "18262568"}, {"ref": "yus002/tps-june-lgbm-training-3-targets-separately", "kernel_id": "18442769"}, {"ref": "yus002/var-model-practice", "kernel_id": "18384930"}, {"ref": "saztorralba/airpollutionprediction-lightgbm-xgboost-fixes", "kernel_id": "18270443"}, {"ref": "aryarn/tabular-playground-series-jul-2021", "kernel_id": "18297594"}, {"ref": "jeongbinpark/visualization-find-a-chart-that-convey-meaning", "kernel_id": "18450185"}, {"ref": "jeongbinpark/tps-jul-what-columns-impact-to-the-result", "kernel_id": "18257401"}, {"ref": "harshhzz/tps-july-2021-competetion", "kernel_id": "18524438"}, {"ref": "harshhzz/tps-july-competition-eda-model-xgb-cat-rf", "kernel_id": "18341009"}, {"ref": "ryanbarretto/eda-simple-blend-starter", "kernel_id": "18256920"}, {"ref": "pourchot/simple-neural-network-with-pseudolabel-benchmark", "kernel_id": "18420614"}, {"ref": "pourchot/simple-neural-network-tuned-for-regression", "kernel_id": "18403148"}, {"ref": "tusharsingh1999/noob-time-series-prediction", "kernel_id": "18467929"}, {"ref": "mikaildogruer/tps-july-2021-light-gbm", "kernel_id": "18263191"}, {"ref": "mikaildogruer/tps-july-2021-xgboost", "kernel_id": "18266858"}, {"ref": "ankurgupta92/tps-jul-21-eda-prophet-forecast-catboost", "kernel_id": "18823006"}, {"ref": "astashiro/tps-jul2021-08automl-h20", "kernel_id": "18833028"}, {"ref": "astashiro/tps-jul2021-07lightautoml", "kernel_id": "18817425"}, {"ref": "astashiro/tps-jul2021-09pseudolabels", "kernel_id": "18892490"}, {"ref": "astashiro/tps-jul2021-06rethink-features", "kernel_id": "18797885"}, {"ref": "astashiro/tps-jul2021-01eda", "kernel_id": "18342491"}, {"ref": "astashiro/tps-jul2021-04pycaret-and-prophet", "kernel_id": "18436246"}, {"ref": "astashiro/tps-jul2021-03add-features", "kernel_id": "18395021"}, {"ref": "astashiro/tps-jul2021-02pycaretblend", "kernel_id": "18393180"}, {"ref": "astashiro/tps-jul2021-05divide-and-predict", "kernel_id": "18613110"}, {"ref": "yuqihanhan/tps-07-2021-catboost-analysis", "kernel_id": "18791801"}, {"ref": "junichih/auto-eda-via-pandas-profiling", "kernel_id": "18386504"}, {"ref": "junichih/tabular-playground-randomforestregressor", "kernel_id": "18415449"}, {"ref": "dmitryuarov/tps-july-2021-epic-eda-xgb-vs-lgbm-vs-cb", "kernel_id": "18264724"}, {"ref": "luiskalckstein/start2finnish-submission-poor-model", "kernel_id": "18898645"}, {"ref": "okyanusoz/xgboost-feature-engineering-tps07", "kernel_id": "18273042"}, {"ref": "okyanusoz/tps07-feature-engineering", "kernel_id": "18472439"}, {"ref": "brennolins/july-tps-air-quality", "kernel_id": "18608829"}, {"ref": "jagunn/pycaret-tbs-july", "kernel_id": "18613696"}, {"ref": "shubhikant/dnn-regression", "kernel_id": "18464127"}, {"ref": "cafelatte1/tps-july-blended-model", "kernel_id": "18899214"}, {"ref": "skomuro/leaked-data-simple-regression", "kernel_id": "18747834"}, {"ref": "icrybaby/deep-analysis-prediction-model-for-air-pollutants", "kernel_id": "18502867"}, {"ref": "alvarofbudria/prophet-pseudo-labels-feature-engineering", "kernel_id": "18761541"}, {"ref": "maximkazantsev/tps-07-21-eda-catboost", "kernel_id": "18263345"}, {"ref": "maximkazantsev/tps-07-21-eda-lightautoml", "kernel_id": "18284088"}, {"ref": "maximkazantsev/tps-07-21-catboost-xgboost-ensemble", "kernel_id": "18717698"}, {"ref": "saruhangngr/leak-data-lstm-xgb-gb", "kernel_id": "18930206"}, {"ref": "tariqchhussain/simple-eda-xgboost-implementation-tps-july-21", "kernel_id": "18370860"}, {"ref": "bishnughosh/jul-21-playground", "kernel_id": "18509439"}, {"ref": "wzha8255/air-pollution-prediction-v1", "kernel_id": "18414531"}, {"ref": "jonaspalucibarbosa/tps07-21-eda-time-ft-xgboost-w-ft-eng", "kernel_id": "18908442"}, {"ref": "markct/tps-202107", "kernel_id": "18350286"}, {"ref": "davegn/tps-jul-2021", "kernel_id": "18289895"}, {"ref": "alexeykolobyanin/tps-jul-rf-with-intel-extension-for-scikit-learn", "kernel_id": "18452923"}, {"ref": "alexeykolobyanin/tps-jul-stacking-with-scikit-learn-intelex", "kernel_id": "18659807"}, {"ref": "alankadiev/tps-2021-simplest-catboost-model", "kernel_id": "18885559"}, {"ref": "gunater/tabular-playground-series-jul-2021", "kernel_id": "18353253"}, {"ref": "e34444/notebook08734402d2", "kernel_id": "18942162"}, {"ref": "seanjan0/tps07-plotting-with-seaborn", "kernel_id": "18283085"}, {"ref": "ivankontic/002-tps-jul-2021", "kernel_id": "18923465"}, {"ref": "saikrishnaghanta/tps-july-time-series-different-regressions", "kernel_id": "18946047"}, {"ref": "edrickkesuma/tabular-playground-series-pollution-with-xgboost", "kernel_id": "18918067"}, {"ref": "sanskarjadhav/feature-engineering-automl-with-autogluon", "kernel_id": "18331829"}, {"ref": "sanskarjadhav/automl-pycaret", "kernel_id": "18324778"}, {"ref": "sanskarjadhav/automl-method-jul-2021", "kernel_id": "18293100"}, {"ref": "sanskarjadhav/july-2021-multiple-models", "kernel_id": "18290387"}, {"ref": "sanskarjadhav/tabular-playground-july-2021", "kernel_id": "18266562"}, {"ref": "vaishakhshetty/tps-july-21-eda-h2oautoml", "kernel_id": "18614469"}, {"ref": "rogerszzz/xgboost", "kernel_id": "18816238"}, {"ref": "rogerszzz/lstm-aqi", "kernel_id": "18733158"}, {"ref": "roberterffmeyer/july-tps-random-forest-baselines", "kernel_id": "18511652"}, {"ref": "anjalianupam/tps-july-eda", "kernel_id": "18294778"}, {"ref": "nitinrajput47/pollution-prediction-seasonal-decompose", "kernel_id": "18974874"}, {"ref": "junhyeok99/automl-pycaret", "kernel_id": "18266584"}, {"ref": "junhyeok99/tps-jul-eda", "kernel_id": "18324994"}, {"ref": "junhyeok99/eda-leaked-data", "kernel_id": "18718312"}, {"ref": "junhyeok99/data-leaked-catboost-lgbm-ensemble", "kernel_id": "18683513"}, {"ref": "junhyeok99/tps-pycaret-data-leaked", "kernel_id": "18684679"}, {"ref": "matteobuccirossi/pollution-prediction-with-random-forests", "kernel_id": "18453184"}, {"ref": "garyyehyl/tbp-july-2021-catboost-divide-and-conquer", "kernel_id": "18623485"}, {"ref": "karinbondgaard/ml-your-grandmother-can-do", "kernel_id": "18270288"}, {"ref": "karinbondgaard/qlattice-playing-with-derived-features", "kernel_id": "18422579"}, {"ref": "idaidai/apm-ml-with-different-models", "kernel_id": "18599564"}, {"ref": "moritti373737/randomforestregressor", "kernel_id": "18602607"}, {"ref": "moritti373737/xgboost", "kernel_id": "18632925"}, {"ref": "kaiellis/tab-data-playground-multigrad", "kernel_id": "18643408"}, {"ref": "kirillshmilovich1995/pytorch-lightning-simple-mlp", "kernel_id": "18309948"}, {"ref": "raghavendergangula/kaggle-tabular-playground-july-21", "kernel_id": "18275809"}, {"ref": "kayleighmilewski/predicting-air-pollution", "kernel_id": "18626271"}, {"ref": "danielavadr/tabnet-tps-semi-supervised-deep-learning-solution", "kernel_id": "18977270"}, {"ref": "olehmezhenskyi/knn-regression-for-air-quality", "kernel_id": "18846711"}, {"ref": "arnabbiswas1/hidden-time-series-data-noop", "kernel_id": "19725328"}, {"ref": "markbquant/jul-21-timeseries-windows-rnn", "kernel_id": "19275445"}, {"ref": "bextuychiev/25-pandas-functions-you-didn-t-know-existed", "kernel_id": "19078762"}, {"ref": "bextuychiev/7-coolest-packages-top-kagglers-are-using", "kernel_id": "19265054"}, {"ref": "shubhamgarg05/playground-july", "kernel_id": "19358707"}, {"ref": "farelarden/tabular-jul-2021", "kernel_id": "19065456"}, {"ref": "akram98/rnn-weather", "kernel_id": "19772976"}, {"ref": "ferdinandkankanny/tabular-playground-series-jul-2021-with-pycaret", "kernel_id": "19035195"}, {"ref": "gersonmiguelfett/07-21tabularplayground-publicscore-0-26917", "kernel_id": "19241809"}, {"ref": "balajinagappan/tabular-playground-series-beginners-jul-2021", "kernel_id": "19614426"}, {"ref": "bextuychiev/how-to-beat-the-heck-out-of-xgboost-with-lightgbm", "kernel_id": "20261920"}, {"ref": "aymericpeltier/eda-feature-selection-late-post", "kernel_id": "20183686"}, {"ref": "mohamedbakrey/solv-for-tps-using-algo", "kernel_id": "20180446"}, {"ref": "narendrasan/how-to-work-w-million-row-datasets-like-a-pro", "kernel_id": "20652847"}, {"ref": "mahditavakol/jul-2021", "kernel_id": "20585934"}, {"ref": "nulldata/autoxgb-s-automl", "kernel_id": "21706404"}, {"ref": "pathanamjadkhan/tabularplayground", "kernel_id": "21251935"}, {"ref": "hyeyeonglee/notebook4a50ae9624", "kernel_id": "21418843"}, {"ref": "jieunl1m/1107-smartensemble-catboost-and-xgboost-ipynb", "kernel_id": "21756226"}, {"ref": "oskarstachowski/tps-vii-skni-praca-domowa", "kernel_id": "22179796"}, {"ref": "kataharuki/tabular-play", "kernel_id": "22927754"}, {"ref": "cezarydymicki/playground-jan-2021-test", "kernel_id": "22141210"}, {"ref": "cezarydymicki/tps-vii-skni-praca-domowa", "kernel_id": "22415601"}, {"ref": "hosseinbehjat/tps-jul-xgboost-regressor-optimized-with-hyperopt", "kernel_id": "23829111"}, {"ref": "hosseinbehjat/tps-jul-ann-model-hyperparameter-tuning", "kernel_id": "23922287"}, {"ref": "javigallego/playground-jul2021", "kernel_id": "24949924"}, {"ref": "balupeddireddy/tps7-interactive-eda-with-plotly", "kernel_id": "25198995"}, {"ref": "ivjyotsingh/tps-jul-21-feature-engineering-rf", "kernel_id": "25092797"}, {"ref": "woasieworm/tabular-playground-series", "kernel_id": "25959299"}, {"ref": "burkaykirnik/broken-sensor-simulator", "kernel_id": "26144247"}, {"ref": "burkaykirnik/hack-bo-azi-i-modelling", "kernel_id": "26136459"}, {"ref": "dionysios1981/tabular-baseline", "kernel_id": "27879378"}, {"ref": "dionysios1981/exploration-eda", "kernel_id": "27879847"}, {"ref": "dionysios1981/stacked-model", "kernel_id": "27882390"}, {"ref": "dionysios1981/n-step-ahead-preds", "kernel_id": "28191826"}, {"ref": "dionysios1981/eda-sensor2-500", "kernel_id": "29507456"}, {"ref": "ivjyotsingh/tps-jul21-eda-prophet", "kernel_id": "30986307"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "glsmceylan/weather-pycaret", "kernel_id": "37128063"}, {"ref": "erenkzlrmak/automl-lab", "kernel_id": "40601375"}, {"ref": "dongtrung/airpollutionedaandprediction", "kernel_id": "63449011"}, {"ref": "nguyencaodien2003/timeseries", "kernel_id": "63449367"}, {"ref": "haozhen0724/advanced-time-series-analysis-decomposition", "kernel_id": "74587963"}, {"ref": "hirokinoda/tps-jul-2021-arima-model-arima", "kernel_id": "75590491"}, {"ref": "hirokinoda/tps-jul-2021-state-space-model", "kernel_id": "75573485"}, {"ref": "hirokinoda/tps-jul-2021-linear-reg-model", "kernel_id": "78198178"}]}
{"competition_id": "28008", "kernels": [{"ref": "alexryzhkov/aug21-lightautoml-starter", "kernel_id": "18991613"}, {"ref": "metselaar/factor-graphs", "kernel_id": "18987000"}, {"ref": "rohanrao/automl-tutorial-tps-august-2021", "kernel_id": "18984044"}, {"ref": "dwin183287/tps-august-2021-eda-base-model", "kernel_id": "18982051"}, {"ref": "shrutisaxena/tps-aug-2021-eda", "kernel_id": "18997977"}, {"ref": "aayush26/tps-aug-2021-simple-weighted-ensemble", "kernel_id": "18989093"}, {"ref": "aayush26/tps-aug-2021-autogluon-101", "kernel_id": "18989799"}, {"ref": "jonigooner/tensorflow-gradient-boost", "kernel_id": "18997223"}, {"ref": "gomes555/tps-aug2021-eda-sweetviz-pycaret-baseline", "kernel_id": "18984467"}, {"ref": "akmalmir/baseline-with-automl-pycaret-rmse-score-7-89114", "kernel_id": "18982737"}, {"ref": "volkandl/tps-08-eda-xgboost", "kernel_id": "18995860"}, {"ref": "godzill22/tps-08-autoencoder-ann-cnn-with-keras-api", "kernel_id": "18998382"}, {"ref": "subinium/tps-aug-simple-eda", "kernel_id": "18982144"}, {"ref": "jarupula/tps-aug-2021-eda-rf", "kernel_id": "18983675"}, {"ref": "sunilhule/tps-aug-2021-eda-baseline", "kernel_id": "18991164"}, {"ref": "kamaljp/august-2021-eda", "kernel_id": "18995457"}, {"ref": "andy6804tw/tps-08-21-xgboost", "kernel_id": "18987770"}, {"ref": "andy6804tw/tps-08-21-catboost-optuna", "kernel_id": "18988968"}, {"ref": "yashaswy/tps-aug-tf-decision-forest-rf-baseline", "kernel_id": "18993367"}, {"ref": "riyajm/gpu-based-xgb-hyperopt-optimization", "kernel_id": "18984854"}, {"ref": "devsubhash/tps-aug-21-ensemble-stackingcvregressor", "kernel_id": "18985792"}, {"ref": "amritpal333/tps-aug-eda-baseline-model", "kernel_id": "18995715"}, {"ref": "amritpal333/xgboost-baseline", "kernel_id": "18998048"}, {"ref": "maksymshkliarevskyi/tps-aug-eda-baselines-xgb-keras-nn", "kernel_id": "18981877"}, {"ref": "carlmcbrideellis/histogram-gradient-boost-starter-script", "kernel_id": "18985494"}, {"ref": "lukaszborecki/tf-binning-embedding-huber-loss-fold-5", "kernel_id": "18985024"}, {"ref": "bextuychiev/relevant-eda-xgboost", "kernel_id": "18988978"}, {"ref": "bextuychiev/20-burning-xgboost-faqs-answered-to-use-like-a-pro", "kernel_id": "18852222"}, {"ref": "ranjeetshrivastav/tps-nov-21-pycaret", "kernel_id": "18987663"}, {"ref": "pranjalverma08/tps-08-cb-lgbm-xgb-starter", "kernel_id": "18987939"}, {"ref": "munumbutt/comparing-boosted-tree-algorithms", "kernel_id": "18991007"}, {"ref": "tracyporter/aug-21-selectkbest", "kernel_id": "18988237"}, {"ref": "tracyporter/aug-21-genunivariateselect", "kernel_id": "18998740"}, {"ref": "mhslearner/can-tabnet-do-better-eda-submission", "kernel_id": "18991224"}, {"ref": "yus002/tps-nn-model", "kernel_id": "18983534"}, {"ref": "yus002/tps-lgbm-model", "kernel_id": "18985559"}, {"ref": "yus002/check-multicollinearity", "kernel_id": "18982124"}, {"ref": "jeongbinpark/tps-aug-h2o-automl-for-beginner", "kernel_id": "18990500"}, {"ref": "pourchot/in-python-tabular-denoising-residual-network", "kernel_id": "18997217"}, {"ref": "pourchot/only-one-hidden-layer-for-neural-network", "kernel_id": "18991058"}, {"ref": "astashiro/tps-aug2021-01pycaret-shap", "kernel_id": "18982888"}, {"ref": "vuxxxx/xgboost-lightgbm-kfold-baseline", "kernel_id": "18993124"}, {"ref": "kudasovdmitriy/cat-lgbm-xgb", "kernel_id": "18988132"}, {"ref": "mohamedbakrey/eda-for-tps-aug2021-and-visualized-and-make-prd", "kernel_id": "18994630"}, {"ref": "haruomiyoshikawa/tps-8-lightgbm-stratifiedkfold", "kernel_id": "18988687"}, {"ref": "skomuro/notebook-for-kaggle-beginners-like-me-ver-1-2", "kernel_id": "18993008"}, {"ref": "davidaheredia/tps-aug-2021", "kernel_id": "18994649"}, {"ref": "maximkazantsev/tps-08-21-catboost", "kernel_id": "18985584"}, {"ref": "saruhangngr/playgraund-pred-aug", "kernel_id": "18994652"}, {"ref": "victoriamazina/tps-aug-2021-eda", "kernel_id": "18989443"}, {"ref": "nesterenkomarina/14967-88767-score-housing-prices-competition", "kernel_id": "18828532"}, {"ref": "hideeplearner/random-forest-for-regression-competition", "kernel_id": "18995107"}, {"ref": "alexryzhkov/lightautoml-classifier-regressor-mix", "kernel_id": "19437159"}, {"ref": "metselaar/betabinomialwith-inla", "kernel_id": "19163875"}, {"ref": "paddykb/tps-08-short-eda", "kernel_id": "19100077"}, {"ref": "paddykb/tps-08-shake-it-up", "kernel_id": "19412671"}, {"ref": "paddykb/tps-08-negative-binomial", "kernel_id": "19742676"}, {"ref": "paddykb/copy-of-tps8-smart-ensembling-so-on", "kernel_id": "19960919"}, {"ref": "bruno16/ml-jar-example", "kernel_id": "19523476"}, {"ref": "arnabbiswas1/hidden-time-series-data-noop", "kernel_id": "19725328"}, {"ref": "arnabbiswas1/classification-approach-lgbm-log-loss", "kernel_id": "19390636"}, {"ref": "arnabbiswas1/are-the-models-throwing-noise", "kernel_id": "19458116"}, {"ref": "shrutisaxena/tps-aug-eda-automl", "kernel_id": "19000780"}, {"ref": "jsmithperera/xgboot", "kernel_id": "19491778"}, {"ref": "jsmithperera/censored-model", "kernel_id": "19678542"}, {"ref": "datajmcn/tabular-aug-eda-model", "kernel_id": "19418559"}, {"ref": "tunguz/tps-08-2021-simple-linear-baseline", "kernel_id": "19040662"}, {"ref": "tunguz/tps-08-2021-simple-histgradientboosting-baseline", "kernel_id": "19581483"}, {"ref": "aayush26/tps-aug-2021-catboost-101-baseline", "kernel_id": "19309787"}, {"ref": "aayush26/tps-aug-2021-autogluon-201-with-pseudolabel", "kernel_id": "19286694"}, {"ref": "aayush26/tps-aug-2021-lgbm-101-baseline", "kernel_id": "19507226"}, {"ref": "aayush26/tps-aug-2021-xgboost-201-with-optuna-part-1-2", "kernel_id": "19558499"}, {"ref": "aayush26/tps-aug-2021-xgboost-101-baseline", "kernel_id": "19434391"}, {"ref": "aayush26/tps-aug-2021-catboost-201-with-optuna-part-1-2", "kernel_id": "19658958"}, {"ref": "aayush26/tps-aug-2021-xgboost-201-with-optuna-part-2-2", "kernel_id": "19603570"}, {"ref": "ezekielknight/tps-aug-2021-autogluon-baseline", "kernel_id": "19135114"}, {"ref": "jchang4/playgroundtabular-aug-fast-ai-optuna", "kernel_id": "19578975"}, {"ref": "tantai/pytorch-custom-nn-starter-fast-train", "kernel_id": "19545803"}, {"ref": "tantai/eda-with-dataprep-chinese", "kernel_id": "19497891"}, {"ref": "tolgakurtulus/blendception-notebook", "kernel_id": "19877529"}, {"ref": "tolgakurtulus/optuna-tuning-with-xgboost-catboost-lgbm", "kernel_id": "19462940"}, {"ref": "mattvin/sandbox-boosted-tree-methods", "kernel_id": "19764238"}, {"ref": "raahulsaxena/tps-aug-21-introduction-to-simple-voting", "kernel_id": "19791538"}, {"ref": "gomes555/tps-aug2021-r-eda-gamlss-zero-inflated-neg-bin", "kernel_id": "19001878"}, {"ref": "l0glikelihood/nn-starter-keras", "kernel_id": "19000286"}, {"ref": "ajaysamp/tab-aug-eda-models-optuna-boruta", "kernel_id": "19014301"}, {"ref": "docxian/tabular-playground-8-linear-baseline", "kernel_id": "19015149"}, {"ref": "docxian/tabular-playground-8-tweedie-glm-gbm", "kernel_id": "19042888"}, {"ref": "lizhangzheng/notebooke58d9464de", "kernel_id": "19310502"}, {"ref": "hicham1984/tabular-ground-ply-gradientboostingregressor-pca", "kernel_id": "19002414"}, {"ref": "sami116/baseline-model-xgb", "kernel_id": "19015417"}, {"ref": "alenic/stratifiedkfold-lgbm-optuna-7-88214", "kernel_id": "19608038"}, {"ref": "sciffany/aug-2021-loss-tabular-playground", "kernel_id": "19542532"}, {"ref": "maheshmj007/stacked-ensemble-regressor", "kernel_id": "19836247"}, {"ref": "abhijitsontakey/notebookb0d2fa3e02", "kernel_id": "19355464"}, {"ref": "bhardwajpriyam/tabular-playground-eda", "kernel_id": "19017944"}, {"ref": "markbquant/aug-21-alternative-h2o-stacking-and-blending", "kernel_id": "19929985"}, {"ref": "sunathra/gaussian-mixture-models", "kernel_id": "19270608"}, {"ref": "hongpeiyi/poisson-regression-with-statsmodels", "kernel_id": "19655894"}, {"ref": "abhijeet29/1st-competition-xgboost-optuna", "kernel_id": "19358514"}, {"ref": "batprem/training-environment", "kernel_id": "19321705"}, {"ref": "smiles28/tps-aug-2021", "kernel_id": "19368150"}, {"ref": "josepc/typical-notebook", "kernel_id": "19157703"}, {"ref": "apoorvsingh090/baseline-lgbmregressor-7-90598", "kernel_id": "19180891"}, {"ref": "shameinew/loss-prediction-tps", "kernel_id": "19498274"}, {"ref": "shameinew/feature-engineering-tps-2", "kernel_id": "19745818"}, {"ref": "volkandl/what-if-the-data-was-an-image-cnn-usage", "kernel_id": "19811888"}, {"ref": "joatom/model-allocation", "kernel_id": "19712004"}, {"ref": "keenborder/h20-automl-and-boosting-stacking-bagging-models", "kernel_id": "19817803"}, {"ref": "faelk8/tps-aug-21-eda-lightautoml", "kernel_id": "19456622"}, {"ref": "cjd913/practice-with-hyperopt-sklearn", "kernel_id": "19013467"}, {"ref": "stpeteishii/tps0821-keras-dense", "kernel_id": "19058183"}, {"ref": "stpeteishii/tps0821-xgbclassifier-predict-proba", "kernel_id": "19055316"}, {"ref": "stpeteishii/tps0821-lightbgm-visualize-importance", "kernel_id": "19196695"}, {"ref": "stpeteishii/tps0821-lightgbm-with-optuna-tuning", "kernel_id": "19199011"}, {"ref": "subinium/all-you-need-is-pandas-benchmark-viz", "kernel_id": "19958866"}, {"ref": "samduffield/tps-aug-2021-haiku-optax", "kernel_id": "19910158"}, {"ref": "jarupula/reducing-memory-footprint", "kernel_id": "19310579"}, {"ref": "abhijeet888/tabular-playground-series-aug-2021", "kernel_id": "19939059"}, {"ref": "ted0071/tps-aug-2021", "kernel_id": "19828347"}, {"ref": "yadukaggle/tabular-august", "kernel_id": "19245665"}, {"ref": "swagician/august-r-bayesian-additive-regression-trees", "kernel_id": "19861537"}, {"ref": "jang0820/tabularplayground-aug2021-xgbregress-gridsearchcv", "kernel_id": "19463758"}, {"ref": "sureshmecad/tps-aug21-ensemble-stacking-automl", "kernel_id": "19177054"}, {"ref": "ztrimus/tps-aug21-features-reduction-selection", "kernel_id": "19931144"}, {"ref": "kamaljp/catboost-aug-tutorial", "kernel_id": "19365228"}, {"ref": "kamaljp/cv-xgb-lgbm-august-2021-eda", "kernel_id": "19018689"}, {"ref": "bhuppi2898/tps-august-with-pycaret-for-newbies", "kernel_id": "19350597"}, {"ref": "oxzplvifi/tabular-denoising-residual-network", "kernel_id": "19250842"}, {"ref": "catadanna/tab-aug-folds", "kernel_id": "19064979"}, {"ref": "venkat2ram/notebook55c8030043", "kernel_id": "19123934"}, {"ref": "jackstapleton/tps-aug-2021-dl-baseline", "kernel_id": "19191466"}, {"ref": "sayantankirtaniya/tabular-eda-101-observations", "kernel_id": "19406786"}, {"ref": "prajeetguha/xgboost-regression", "kernel_id": "19802736"}, {"ref": "prajeetguha/tabular-playground", "kernel_id": "19009155"}, {"ref": "vbloise/tps-aug-21-xgboost-implementation", "kernel_id": "19383077"}, {"ref": "shugo15/tps-aug-21-lgbm", "kernel_id": "19294378"}, {"ref": "songwonmin/for-beginner-tabular-aug", "kernel_id": "19324640"}, {"ref": "songwonmin/for-korean-tabular-aug-2021", "kernel_id": "19177706"}, {"ref": "prajwalsood/auto-keras-example7-89-with-no-feature-engineering", "kernel_id": "19504221"}, {"ref": "melanie7744/tps8-pycaret-commented", "kernel_id": "19011671"}, {"ref": "taisiyastaroverova/playground-aug-loss-prediction", "kernel_id": "19740882"}, {"ref": "tensorchoko/tabular-aug-2021-h2o", "kernel_id": "19356281"}, {"ref": "tensorchoko/tabular-aug-2021-lightgbm", "kernel_id": "19354424"}, {"ref": "tensorchoko/tabular-aug-2021-lightautoml", "kernel_id": "19357413"}, {"ref": "khkuggle/eda-modeling-for-beginners-stacking", "kernel_id": "19694856"}, {"ref": "akioonodera/tps-aug2021-lgbm-regression", "kernel_id": "19007451"}, {"ref": "nancysamuel/tps-aug2021-xgboost-kfold", "kernel_id": "19903089"}, {"ref": "mustafacicek/subsample-for-boosting-models", "kernel_id": "19883326"}, {"ref": "mustafacicek/xgboost-train-and-fit-comparison", "kernel_id": "19221759"}, {"ref": "kareem3egm/tps-aug-2021-with-h2oautoml", "kernel_id": "19183994"}, {"ref": "himanshunitrr/tps-aug", "kernel_id": "19644118"}, {"ref": "yamahisa/tps-aug-21-beginner-s", "kernel_id": "19609253"}, {"ref": "lonnieqin/tabular-playground-series-prediction", "kernel_id": "19683081"}, {"ref": "miguelquiceno/tps-xgboost-optuna", "kernel_id": "19567121"}, {"ref": "miguelquiceno/tps-basic-eda-nn-keras", "kernel_id": "19476458"}, {"ref": "miguelquiceno/tps-eda-catboost-lgbm-xgboost-ensemble", "kernel_id": "19609607"}, {"ref": "gokulprakash/ensemble", "kernel_id": "19169420"}, {"ref": "gokulprakash/xgb-regression-with-optuna", "kernel_id": "19717210"}, {"ref": "bextuychiev/new-insights-w-umap-optuna-shap-eli5", "kernel_id": "19008231"}, {"ref": "scr0ll0/august-2021-lgbm-xgb-catboost-optuna", "kernel_id": "19116023"}, {"ref": "bharathwajmurali/notebookfdb9788905", "kernel_id": "19902249"}, {"ref": "tuannguyenvananh/tps-aug-catboost-mlperceptron-gradientdescent", "kernel_id": "19589684"}, {"ref": "romanianvarev/tp-aug-2021-eda", "kernel_id": "19071968"}, {"ref": "somayyehgholami/1-tps-aug-21-xgboost-catboost", "kernel_id": "19405926"}, {"ref": "somayyehgholami/3-tps-aug-21-results-rmse-evaluation", "kernel_id": "19950909"}, {"ref": "somayyehgholami/2-tps8-smart-ensembling", "kernel_id": "19927716"}, {"ref": "ranjeetshrivastav/tps-aug-21-optuna-lgb-xgb-cb", "kernel_id": "19011959"}, {"ref": "jamesbond00700/tabular-aug-21-xgboost", "kernel_id": "19242871"}, {"ref": "shub99/tps-aug-21-first", "kernel_id": "19444788"}, {"ref": "hoangminhquanlhsdt/tps-08-lightgbm", "kernel_id": "19180445"}, {"ref": "hrbukhari/optuna-tuned-boosting-models-cat-xgb", "kernel_id": "19075566"}, {"ref": "hrbukhari/tps-can-neural-networks-beat-xgb", "kernel_id": "19214605"}, {"ref": "khushishahh/eda-lgbm-catboost-xgboost", "kernel_id": "19509692"}, {"ref": "mohitkushwah/hyperperameter-tuning-xgb", "kernel_id": "19325937"}, {"ref": "karad1818/tabular-data-xgb", "kernel_id": "19876809"}, {"ref": "azzamradman/tps-08-lightgbm-simple-eda", "kernel_id": "19131837"}, {"ref": "azzamradman/tps-08-catboost-simple-eda", "kernel_id": "19153723"}, {"ref": "azzamradman/boost-your-score-with-lofo", "kernel_id": "19893867"}, {"ref": "elvanselvano/flaml-baseline-model", "kernel_id": "19806347"}, {"ref": "basabsaha/tps-aug21", "kernel_id": "19172933"}, {"ref": "ashfakyeafi/xgboost-catboost", "kernel_id": "19473761"}, {"ref": "ranjeer/xgboost-for-tabular-playground", "kernel_id": "19520867"}, {"ref": "munumbutt/autogluon-3-0", "kernel_id": "19694158"}, {"ref": "munumbutt/tuned-neural-network-with-tpu", "kernel_id": "19177229"}, {"ref": "munumbutt/tps-histgradientboostingregressor-sklearn", "kernel_id": "19088515"}, {"ref": "munumbutt/tps-catboost-lgbm-xgb-blend", "kernel_id": "19048957"}, {"ref": "tracyporter/aug-21-cca", "kernel_id": "19023820"}, {"ref": "amiteshgangrade/eda-basic-neural-network", "kernel_id": "19169872"}, {"ref": "kavehshahhosseini/tabular-playground-neural-network", "kernel_id": "19941848"}, {"ref": "sabyasachi96/pca-no-but-lgbm", "kernel_id": "19826712"}, {"ref": "sabyasachi96/tps-aug2021-random-forest", "kernel_id": "19549285"}, {"ref": "jackmarsch/tps-08-lgbm-bayesian-optimization", "kernel_id": "19219997"}, {"ref": "krishnamore/simple-xgbclassifier", "kernel_id": "19082786"}, {"ref": "panjihusnipadhila/elm-from-scratch-tps-aug-2021", "kernel_id": "19453979"}, {"ref": "aravind2608/tabular-playground", "kernel_id": "19699250"}, {"ref": "joelpeter/gradient-boost-regressor-with-7-94-accuracy", "kernel_id": "19923768"}, {"ref": "jonathanpaserman/figuring-out-catboost-optuna", "kernel_id": "19100975"}, {"ref": "mdmustafijurrahman/tabular-playground-august-21", "kernel_id": "19594211"}, {"ref": "realtimshady/xgb-lgbm-cb", "kernel_id": "19818582"}, {"ref": "realtimshady/trying-7-cool-python-packages", "kernel_id": "19771540"}, {"ref": "davidjlochner/feat-eng-bayesopt-lgb", "kernel_id": "19565121"}, {"ref": "matsuuraakihiko/xgboot", "kernel_id": "19924455"}, {"ref": "matsuuraakihiko/notebook2b51e50670", "kernel_id": "19924706"}, {"ref": "kaushalkrishna2000/tabular-playground-notebook", "kernel_id": "19844210"}, {"ref": "josetorrado/rookie-smarts-a-beginner-s-perspective", "kernel_id": "19236326"}, {"ref": "josetorrado/learn-hyperparameter-tunning-with-me", "kernel_id": "19539247"}, {"ref": "smita09/tps-version4-xgboost-optuna", "kernel_id": "19842039"}, {"ref": "smita09/tps-aug-21-optuna-lgb-xgb-cb", "kernel_id": "19742512"}, {"ref": "smita09/tps-august-v3", "kernel_id": "19461873"}, {"ref": "smita09/tps-august-baseline-model", "kernel_id": "19215486"}, {"ref": "yus002/tps08-r-lasso-regression", "kernel_id": "19042470"}, {"ref": "yus002/tps-08-will-i-overfit", "kernel_id": "19003257"}, {"ref": "yus002/blending-tool-tps-aug-2021", "kernel_id": "19632792"}, {"ref": "jiangtt/tps-aug-adversarial-validation", "kernel_id": "19778850"}, {"ref": "mohammadaflahkhan/tabular-playground-series-aug-2021-scikit", "kernel_id": "19004163"}, {"ref": "pavfedotov/blending-tool-tps-aug-2021", "kernel_id": "19750283"}, {"ref": "pavfedotov/copy-of-tps8-smart-ensembling", "kernel_id": "19956682"}, {"ref": "ryanbarretto/two-stage-stacking-ensemble", "kernel_id": "19236076"}, {"ref": "ryosukeueda/tps-aug-2021-mean-baseline", "kernel_id": "19204543"}, {"ref": "alvinb/submission", "kernel_id": "19172517"}, {"ref": "pavansaikondalarao/using-lgbm-with-cross-validation", "kernel_id": "19780971"}, {"ref": "pavansaikondalarao/creating-kfolds-tabular-playground-aug-2021", "kernel_id": "19776529"}, {"ref": "astashiro/tps-aug2021-02lightautoml", "kernel_id": "19006610"}, {"ref": "pranjalchatterjee/randomforest-xgboost-on-tps-aug-2021", "kernel_id": "19714826"}, {"ref": "abhisheksisodiya/tps-aug-21-xgboost-hyperparameter-rfe", "kernel_id": "19375787"}, {"ref": "kudasovdmitriy/custom-autoencoder-torch", "kernel_id": "19083271"}, {"ref": "luisbedia/tps-aug2021-cat-lgbm", "kernel_id": "19522615"}, {"ref": "dennisho/tabular-playground-aug-2021-random-forest", "kernel_id": "19113973"}, {"ref": "ravibamidi/heatmap-and-correlation", "kernel_id": "19201016"}, {"ref": "yuqihanhan/tps-08-2021-xgboost-analysis-eda", "kernel_id": "19415327"}, {"ref": "yasassandeepa/tabular-playground-series-aug-2021-yasas", "kernel_id": "19131320"}, {"ref": "dmitryuarov/tps-aug-2021-eda-cb-vs-xgb-vs-lgbm", "kernel_id": "19012183"}, {"ref": "dmitryuarov/falling-below-7-87-voting-cb-xgb-lgbm", "kernel_id": "19307346"}, {"ref": "liuyixi/tps-aug-tensorflow-simple-dnn", "kernel_id": "19654609"}, {"ref": "yuujinleee/tabular-aug-2021-with-lightgbm-xgboost-optuna", "kernel_id": "19640119"}, {"ref": "yuujinleee/tabular-aug-2021", "kernel_id": "19539147"}, {"ref": "sankalpsrivastava26/xgboost-optimization", "kernel_id": "19987794"}, {"ref": "sankalpsrivastava26/catboost-optimization", "kernel_id": "19986679"}, {"ref": "prutsaowaprut/decision-trees-just-like-kaggle-s-intro-to-ml", "kernel_id": "19075417"}, {"ref": "yogidsba/tps-aug-eda-basemodel", "kernel_id": "19069134"}, {"ref": "jenilsavani/ann-playground-series", "kernel_id": "19098231"}, {"ref": "vamsikrishnab/notebook8a1f2608de", "kernel_id": "19603892"}, {"ref": "farelarden/tabular-playground-series-aug-2021", "kernel_id": "19079158"}, {"ref": "keisukenakano/notebook2b51e50670", "kernel_id": "19924424"}, {"ref": "elemento/tabplayaugust", "kernel_id": "19699455"}, {"ref": "maximkazantsev/tps-08-21-xgboost", "kernel_id": "19068521"}, {"ref": "tariqchhussain/simple-eda-xgboost-implementation-tps-aug-21", "kernel_id": "19158327"}, {"ref": "arenddejong/tps-08-2021-eda", "kernel_id": "19398004"}, {"ref": "vungocbinh/tabular-playground-august-autokeras", "kernel_id": "19296550"}, {"ref": "vungocbinh/tabular-playground-august-tensorflow", "kernel_id": "19407332"}, {"ref": "aymanlafaz/tps-lda-catboost", "kernel_id": "19014989"}, {"ref": "katepod/simplelinearregression", "kernel_id": "19214349"}, {"ref": "katepod/tps-lassoreg", "kernel_id": "19018409"}, {"ref": "jordiarellano/main-tps", "kernel_id": "19902939"}, {"ref": "hardikjain10/tabular-playground-aug-2021", "kernel_id": "19390726"}, {"ref": "alexeykolobyanin/tps-aug-nusvr-with-intel-extension-for-sklearn", "kernel_id": "19155711"}, {"ref": "flafuji/lightxgboost-playground-explained-in-3-minutes", "kernel_id": "19817914"}, {"ref": "gunater/tabular-playground-series-aug-2021", "kernel_id": "19122841"}, {"ref": "jzeferino/playg-8-21-lightgbm-random-search-cv", "kernel_id": "19336880"}, {"ref": "ivankontic/003-2-kmeans-and-gmm-feature-extraction-tps-aug", "kernel_id": "19899508"}, {"ref": "ivankontic/003-4-optuna-lightgbm-variable-lr-tps-aug", "kernel_id": "19965081"}, {"ref": "edrickkesuma/yeo-johnson-optuna-kfold-cv-xgbregressor", "kernel_id": "19974268"}, {"ref": "mohit12562/tps-aug-hierarchical-nn-classification-reg", "kernel_id": "19004250"}, {"ref": "aniketsatapathy/tabular-playground", "kernel_id": "19040621"}, {"ref": "romanmetlitsky/xgboost-tabular-playground-series-aug-2021", "kernel_id": "19847482"}, {"ref": "kotrying/tps-aug-tpot", "kernel_id": "19152811"}, {"ref": "roberterffmeyer/glms-zero-inflated-negative-binomial-regression", "kernel_id": "19009817"}, {"ref": "srjchauhan/tps-08-eda-autokeras-neural-network", "kernel_id": "19146400"}, {"ref": "balavashan/tps-aug-2021-using-linearregression", "kernel_id": "19100198"}, {"ref": "navidalazim/tabular-playground-tabnet", "kernel_id": "19295022"}, {"ref": "navidalazim/tabuler-aug-xgb", "kernel_id": "19331454"}, {"ref": "junhyeok99/tps-pycaret-simple-baseline", "kernel_id": "19084015"}, {"ref": "lynnserizawa/ls-aug", "kernel_id": "19132665"}, {"ref": "christoforum/lightgbm-optuna", "kernel_id": "19958068"}, {"ref": "pritampaulcrow/tabular-playground", "kernel_id": "19332688"}, {"ref": "shivansh002/tps-august-eda", "kernel_id": "19012806"}, {"ref": "shivansh002/in-a-nutshell-xgboost-refresher", "kernel_id": "19448292"}, {"ref": "shivansh002/a-gentle-guide-on-xgboost-hyperparameters", "kernel_id": "19500276"}, {"ref": "mitishaagarwal/tps-08-histgradient-boosting", "kernel_id": "19725129"}, {"ref": "jeongkyulim/r-3-models-rf-h20-catboost-under-8-0", "kernel_id": "19064674"}, {"ref": "jeongkyulim/simple-baseline-catboost-with-parameter-tuning", "kernel_id": "19246789"}, {"ref": "boneacrabonjac/automl", "kernel_id": "19086661"}, {"ref": "khule28/notebook3cde976ec3", "kernel_id": "19909036"}, {"ref": "ilyabrudno/xgboostregressor-simple-version-1", "kernel_id": "19098529"}, {"ref": "alimohammedbakhiet/tabular-playground-series-for-beginners", "kernel_id": "19012367"}, {"ref": "nanosoft/tps-aug-simple-visualization", "kernel_id": "19248224"}, {"ref": "takahiroyoshida012/ensemble-for-aug-2021-competition-score-7-85244", "kernel_id": "19679164"}, {"ref": "kanganasharma/tps-aug-21", "kernel_id": "19883487"}, {"ref": "mt77pp/automl-mljar-by-ola-tps-aug-21", "kernel_id": "20143673"}, {"ref": "gman123/xgboost-regression-normalizer", "kernel_id": "20087953"}, {"ref": "tunguz/tps-08-21-feature-importance-with-xgboost-and-shap", "kernel_id": "20190036"}, {"ref": "tunguz/tps-aug-21-tsne-and-umap-shap-with-rapids", "kernel_id": "20191006"}, {"ref": "data2science/xgb-and-catboost-optuna-tuning-basic-blend", "kernel_id": "20085062"}, {"ref": "aditya08/tps-august-cnn-baseline", "kernel_id": "20129750"}, {"ref": "tolgakurtulus/comparison-of-lightautoml-h2o-ai-flaml", "kernel_id": "20005363"}, {"ref": "ottpocket/embeddings-from-daes-with-tensorflow", "kernel_id": "20110291"}, {"ref": "kritidoneria/automl-mljar-fe-modelling-ensemble-tps-aug-21", "kernel_id": "20111450"}, {"ref": "danieleongari/tps-08-21-xgboost-compared-with-mean-baseline", "kernel_id": "20018658"}, {"ref": "sanjeevsahu/august-2021-catboost-7-8212-rmse", "kernel_id": "20116378"}, {"ref": "guddubhagat2019/tabular-playground-series-aug2021", "kernel_id": "20177507"}, {"ref": "joonrisse/tps-particle-swarm-optimization-feature-selection", "kernel_id": "20110934"}, {"ref": "udbhavpangotra/eda-optuna-an-attempt-at-a-clean-notebook", "kernel_id": "20103418"}, {"ref": "shrestha90314/xgbregressor-with-normalized", "kernel_id": "20141906"}, {"ref": "aquaregis32/tps-aug-21-xgb-ctb-lgb", "kernel_id": "20190589"}, {"ref": "inhack/tps-aug-21-eda-basemodel-xgb-lgbm-optuna", "kernel_id": "20045071"}, {"ref": "zhiminzou/pytorch-autoquerynet-attention-tps-aug-2021", "kernel_id": "20138938"}, {"ref": "lukaszsajkowski/blending-looking-for-weights-tps-aug-2021", "kernel_id": "20057583"}, {"ref": "kareem3egm/tps-aug-2021", "kernel_id": "20155361"}, {"ref": "sergeyzemskov/tps-08-21-cross-val-catboost-eda", "kernel_id": "20208850"}, {"ref": "lonnieqin/catboost-tabular-playground-series-prediction", "kernel_id": "20066149"}, {"ref": "bextuychiev/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20511503"}, {"ref": "bextuychiev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "20289477"}, {"ref": "bextuychiev/how-to-beat-the-heck-out-of-xgboost-with-lightgbm", "kernel_id": "20261920"}, {"ref": "somayyehgholami/4-tps-aug-21-guide-point-snap-to-curve", "kernel_id": "20017420"}, {"ref": "mrigendraagrawal/tps-sep-eda-and-starter", "kernel_id": "20213528"}, {"ref": "cadventurecatia/xgbregressor-with-normalized", "kernel_id": "20186750"}, {"ref": "viveksalunkhe/tabular-playground-aug-2021-xgb-cat", "kernel_id": "20028430"}, {"ref": "yvamshivardhan/aug2021-optuna-xgboost", "kernel_id": "20113195"}, {"ref": "zahraalidadi75/tabular-playground-series", "kernel_id": "20066132"}, {"ref": "mirenaborisova/tabular-playground-aug-2021-02", "kernel_id": "20047261"}, {"ref": "mirenaborisova/tabular-playground-aug-2021-03", "kernel_id": "20088991"}, {"ref": "realtimshady/optuna-xgb-pseudolabel", "kernel_id": "20045414"}, {"ref": "baebyunghyun/tabular-playground-series-aug-2021-dnn", "kernel_id": "20179181"}, {"ref": "isyedsalmanali/tps-august-2021-predicting-loss", "kernel_id": "20118556"}, {"ref": "smita09/tps-aug-worst-solution", "kernel_id": "20405812"}, {"ref": "aymericpeltier/ensembling-xgb-lgb-cat-nn", "kernel_id": "20205189"}, {"ref": "farjanaemanishy/tab-simp", "kernel_id": "20189586"}, {"ref": "aryakrishnanar/tabular-playground-series-aug-2021", "kernel_id": "20216954"}, {"ref": "reddy9819/tabular-playground-sep-2021", "kernel_id": "20155579"}, {"ref": "kooose/tabular-playground-series-by-stacking-models", "kernel_id": "20635236"}, {"ref": "ayoubchaoui/base-model-f1-f16-f27-f55-f86-vs-all-features", "kernel_id": "20140026"}, {"ref": "farelarden/tabular-august-2021-optuna", "kernel_id": "20173226"}, {"ref": "farelarden/tabular-august-2021-optimizedxgb", "kernel_id": "20135727"}, {"ref": "sonjabutler/cnn-with-tabular-playground-dataset", "kernel_id": "20099811"}, {"ref": "knightbearr/just-want-to-play-a-game", "kernel_id": "20033699"}, {"ref": "rodrigocfaria/very-simple-bayesian-ridge-regression", "kernel_id": "20192295"}, {"ref": "jiahong07/simple-xgboost-regression-model", "kernel_id": "20055074"}, {"ref": "narendrasan/how-to-work-w-million-row-datasets-like-a-pro", "kernel_id": "20652847"}, {"ref": "truongdang1311/optuna-and-stacking-model-xgb-lgbm", "kernel_id": "20100496"}, {"ref": "prathameshmane3/sales-price-prediction", "kernel_id": "20079837"}, {"ref": "ujoshi076/tps-xgboost-hp-tuning-with-optuna", "kernel_id": "20052688"}, {"ref": "ivankontic/003-final-my-boost-1st-place", "kernel_id": "20280893"}, {"ref": "edrickkesuma/last-minute-notebook-averaging-submissions", "kernel_id": "20209278"}, {"ref": "aleksandraposka/automl-mljar-by-ola-optuna-tune-tps-aug-21", "kernel_id": "20134542"}, {"ref": "derkmingfong/1st-comp-tabular-play-with-xgboost", "kernel_id": "20011158"}, {"ref": "nitinrajput47/stacking-regressor", "kernel_id": "20019516"}, {"ref": "christoforum/xgb-optuna", "kernel_id": "20068134"}, {"ref": "christoforum/lgb-optima-xgb-optima-voting-final", "kernel_id": "20092260"}, {"ref": "olehmezhenskyi/tweedie-xgboost", "kernel_id": "20178939"}, {"ref": "vaby667/84996to-improve-your-ranking", "kernel_id": "20106305"}, {"ref": "willemtraupel/xgboost-with-optuna-study-params", "kernel_id": "20223565"}, {"ref": "nesterenkomarina/tpu-aug-pretrained-deep-network", "kernel_id": "20210327"}, {"ref": "khule28/feature-importance-with-xgb", "kernel_id": "20210312"}, {"ref": "khule28/ensemble-tuning-dataset-with-xgb", "kernel_id": "20159869"}, {"ref": "dylanlau/tps-aug-xgbr-hyperparameter-tuning", "kernel_id": "20196295"}, {"ref": "vishalmishra1400/xgbregressor", "kernel_id": "20078627"}, {"ref": "takahiroyoshida012/smart-ensembling-tps-aug-2021-7-84986", "kernel_id": "20178819"}, {"ref": "ratorato/tabular-playground-aug-2021-tabnet-and-pycaret", "kernel_id": "20002809"}, {"ref": "momanay651/falling-below-7-87-voting-cb-xgb-lgbm", "kernel_id": "20021791"}, {"ref": "dmitriyf12/smart-ensembling-tps-aug-2021-7-84986", "kernel_id": "20197074"}, {"ref": "datavisuals/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20569407"}, {"ref": "harshjhunjhunwala/aug-21-tps-xgboost-lightgbm-eda", "kernel_id": "21301900"}, {"ref": "harshjhunjhunwala/starter-guide-to-trees-boosting-and-bagging", "kernel_id": "21577800"}, {"ref": "bextuychiev/model-explainability-with-shap-only-guide-u-need", "kernel_id": "21050276"}, {"ref": "rhythmcam/tps-08-21-optuna-integration-oof", "kernel_id": "23684007"}, {"ref": "hosseinbehjat/tps-aug-a-simple-ann-model", "kernel_id": "24046598"}, {"ref": "japancolorado/introduction-and-tabular-playground-notebook", "kernel_id": "25846266"}, {"ref": "zacharyluscher/model-explainability-with-shap-only-guide-u-need", "kernel_id": "26757071"}, {"ref": "harisonmwangi/tps-august-2021-eda", "kernel_id": "28379489"}, {"ref": "nikolaikudriavtsev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "28161869"}, {"ref": "bibekupadhyaya/pca-in-depth-loss-prediction", "kernel_id": "28377323"}, {"ref": "marlenbk/tabular-outlier-detetection-xgb", "kernel_id": "28487827"}, {"ref": "mregrt/automl-rmse", "kernel_id": "29528784"}, {"ref": "azminetoushikwasi/regression-eda-stacking-ensembling", "kernel_id": "29631911"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "vanshsharma10/gsoc-2022-tps-september-using-tf-df", "kernel_id": "30452237"}, {"ref": "amanaayush/tabular-playground-2021", "kernel_id": "53738589"}, {"ref": "mohamedelsadek44/pso-vv", "kernel_id": "72856654"}]}
{"competition_id": "28009", "kernels": [{"ref": "bextuychiev/20-burning-xgboost-faqs-answered-to-use-like-a-pro", "kernel_id": "18852222"}, {"ref": "ranjeetshrivastav/tps-sep-21-eda-lightgbm", "kernel_id": "18263231"}, {"ref": "ranjeetshrivastav/tps-nov-21-pycaret", "kernel_id": "18987663"}, {"ref": "shivansh002/gentle-introduction-to-gan", "kernel_id": "19320816"}, {"ref": "alexryzhkov/sep21-lightautoml-starter", "kernel_id": "20224234"}, {"ref": "alexryzhkov/sep21-autowoe-interpretable-model-starter", "kernel_id": "20225279"}, {"ref": "lucamassaron/really-not-missing-at-random", "kernel_id": "20571117"}, {"ref": "lucamassaron/autogluon-for-tabular-playground-sep-2021", "kernel_id": "20229286"}, {"ref": "lucamassaron/adversarial-validation-for-tabular-playground-sep", "kernel_id": "20229376"}, {"ref": "lucamassaron/feature-selection-with-boruta-shap", "kernel_id": "20230042"}, {"ref": "lucamassaron/t-sne-umap-eda", "kernel_id": "20241989"}, {"ref": "danofer/tabnet-cv-0-81", "kernel_id": "20481659"}, {"ref": "rohanrao/automl-tutorial-tps-september-2021", "kernel_id": "20238954"}, {"ref": "paddykb/tps-09-the-simplest-thing-that-could-possibly-work", "kernel_id": "20308545"}, {"ref": "paddykb/tps-09-additive-baseline", "kernel_id": "20284814"}, {"ref": "dwin183287/tps-september-2021-eda", "kernel_id": "20224661"}, {"ref": "rishirajacharya/tps-sep-2021-kfold", "kernel_id": "20229297"}, {"ref": "rishirajacharya/tps-sep-2021-hyperparameter-tuning-optuna", "kernel_id": "20231894"}, {"ref": "oraware/denoising-autoencoder-sep-2021", "kernel_id": "20832333"}, {"ref": "arnabbiswas1/reference-doc-for-individual-columns", "kernel_id": "20317181"}, {"ref": "shrutisaxena/tps-sep-eda-automl", "kernel_id": "20301532"}, {"ref": "sugamkhetrapal/tps-sep-2021-project-datatable", "kernel_id": "20453456"}, {"ref": "sugamkhetrapal/tabular-playground-sep-21-eda-dataprep", "kernel_id": "20242699"}, {"ref": "sugamkhetrapal/tabular-playground-sep-21-eda-autoviz", "kernel_id": "20242810"}, {"ref": "sugamkhetrapal/tabular-playground-sep-21-eda-pandas-profiling", "kernel_id": "20242901"}, {"ref": "sugamkhetrapal/tabular-playground-sep-21-eda-sweetviz", "kernel_id": "20242949"}, {"ref": "datajmcn/light-gradient-boosting-models-tabsep21", "kernel_id": "20286056"}, {"ref": "datajmcn/classification-using-tensorflow-randomforest", "kernel_id": "20233637"}, {"ref": "datajmcn/xgb-models-tabsep21", "kernel_id": "20713496"}, {"ref": "tunguz/tps-09-21-histgradientboosting-with-optuna", "kernel_id": "20695691"}, {"ref": "tunguz/tps-sep-2021-simple-linear-baseline", "kernel_id": "20245892"}, {"ref": "tunguz/tps-sep-21-tsne-and-umap-embeddings-with-rapids", "kernel_id": "20285947"}, {"ref": "tunguz/tps-09-21-feature-importance-with-xgboost-and-shap", "kernel_id": "20286255"}, {"ref": "tunguz/tps-sep-21-tsne-and-umap-shap-with-rapids", "kernel_id": "20287436"}, {"ref": "abrambeyer/tps-sep-exploration-p-2-feature-select-model", "kernel_id": "20847401"}, {"ref": "abrambeyer/tps-sep21-eda-preprocess-baseline-model", "kernel_id": "20810751"}, {"ref": "aayush26/tps-sep-2021-autogluon-101", "kernel_id": "20423346"}, {"ref": "aayush26/tps-sep-2021-eda-101", "kernel_id": "20585946"}, {"ref": "aayush26/tps-sep-2021-simple-weighted-ensemble", "kernel_id": "20539036"}, {"ref": "aayush26/tps-oct-2021-eda-101", "kernel_id": "20938853"}, {"ref": "hasangam/fastai-starter", "kernel_id": "20239271"}, {"ref": "eimantaszaranka/tp-sep2021-eda", "kernel_id": "20260308"}, {"ref": "lexplua/baseline-iterativeimputer-lgb", "kernel_id": "20235954"}, {"ref": "lexplua/tps-calibration-with-isotonic-regression-example", "kernel_id": "20561109"}, {"ref": "pratikkgandhi/histgradientboostingclf-baseline", "kernel_id": "20224323"}, {"ref": "pratikkgandhi/rapids-rf-classifier-on-tps-sept-0-80476-lb", "kernel_id": "20516293"}, {"ref": "lilkaskitc/tps-sep-2021-kmeans-gmm-features-extraction", "kernel_id": "20338737"}, {"ref": "rumasinha/featureselectionwithyellowbricklibrary", "kernel_id": "20956280"}, {"ref": "stevenrferrer/tps-september-2021-stratified-kfold", "kernel_id": "20239392"}, {"ref": "stevenrferrer/tps-september-2021-lightgbm-baseline", "kernel_id": "20434773"}, {"ref": "stevenrferrer/tps-september-2021-optuna-lgbm", "kernel_id": "20276651"}, {"ref": "stevenrferrer/tps-september-2021-catboost-baseline", "kernel_id": "20590832"}, {"ref": "stevenrferrer/tps-september-2021-xgboost-baseline", "kernel_id": "20595939"}, {"ref": "stevenrferrer/tps-september-2021-votingclassifier-baseline", "kernel_id": "20718159"}, {"ref": "stevenrferrer/tps-september-2021-blend-lgb-xgb-cb-hgb-voting", "kernel_id": "20679674"}, {"ref": "stevenrferrer/tps-september-2021-histgradientboosting-baseline", "kernel_id": "20667221"}, {"ref": "stmohd/tensorflow-101-tabular-playground-series-sep-20", "kernel_id": "20881833"}, {"ref": "dstomcray/setembro-2021-tabular-playground-simple-approach", "kernel_id": "20330503"}, {"ref": "gauravbrills/10-folds-stratified-parquet-feather", "kernel_id": "20267707"}, {"ref": "gauravbrills/autogluon-tabular-playground-model", "kernel_id": "20268413"}, {"ref": "gauravbrills/tps-h20-automl-hack-0-8x-scorer", "kernel_id": "20289405"}, {"ref": "gauravbrills/fastai2-tabular-hack-and-optuna-pruning", "kernel_id": "20314920"}, {"ref": "shivarama/tps-submission-1", "kernel_id": "20307509"}, {"ref": "fernandocanteruccio/1dcnn-baseline", "kernel_id": "20514952"}, {"ref": "fernandocanteruccio/notebook124833d3c4", "kernel_id": "20272517"}, {"ref": "fernandocanteruccio/dnn-baseline", "kernel_id": "20564161"}, {"ref": "fernandocanteruccio/notebook2e970f4b23", "kernel_id": "20542024"}, {"ref": "jonigooner/histgradient-classifier-optuna", "kernel_id": "20373498"}, {"ref": "jonigooner/catboost-classifier", "kernel_id": "20509944"}, {"ref": "torokalbert/xgboost-september", "kernel_id": "20844590"}, {"ref": "rogeriodelfim/01-tps-set-ponto-de-partida-eda-e-linha-de-base", "kernel_id": "20228236"}, {"ref": "rogeriodelfim/03-tps-set-21-tunning-xgb-lgbm-rf-and-knn", "kernel_id": "20397501"}, {"ref": "rogeriodelfim/02-tps-set-21-feature-engineering-ipynb", "kernel_id": "20355111"}, {"ref": "hisaylama/tabular-playground-series", "kernel_id": "20237848"}, {"ref": "data2science/tps-21-09-single-catboost-model", "kernel_id": "20593904"}, {"ref": "data2science/tps-sept21-xgb-cat-baseline-median-impute", "kernel_id": "20232850"}, {"ref": "davidcoxon/exploring-engineering-blending-0-818-tpssept21", "kernel_id": "20244936"}, {"ref": "tolgakurtulus/sweetviz-for-beginner-eda-on-tps-sep21", "kernel_id": "20350474"}, {"ref": "peressim/tabular-playground-series-sep-2021", "kernel_id": "20270832"}, {"ref": "cascadinglight/tps-sep-pytorch-mlp-trainer", "kernel_id": "20646912"}, {"ref": "ottpocket/the-3d-convolution-notebook-nobody-asked-for", "kernel_id": "20765415"}, {"ref": "ottpocket/muddling-label-regularization", "kernel_id": "20773053"}, {"ref": "ottpocket/optuna-nn-starter", "kernel_id": "20678076"}, {"ref": "ottpocket/cutmix-and-mixup-regularization", "kernel_id": "20689509"}, {"ref": "ottpocket/feather-creator", "kernel_id": "20224958"}, {"ref": "ottpocket/feather-speed-test", "kernel_id": "20235456"}, {"ref": "ottpocket/embeddings-from-daes-with-tensorflow", "kernel_id": "20110291"}, {"ref": "raahulsaxena/tps-sept-21-introduction-to-stacking", "kernel_id": "20512038"}, {"ref": "rahullalu/tps-sept-2021-eda-multiple-models-blending", "kernel_id": "20232215"}, {"ref": "skiller/best-params-detection-optuna", "kernel_id": "20782954"}, {"ref": "skiller/a-z-predictive-modelling-eda-ensemble", "kernel_id": "20659176"}, {"ref": "kritidoneria/automl-mljar-fe-modelling-blending-tps-sep21", "kernel_id": "20231071"}, {"ref": "kritidoneria/beginner-automl-tps-sept21-eda", "kernel_id": "20206703"}, {"ref": "kritidoneria/data-geek-bot-automated-eda-on-tps-sept21", "kernel_id": "20312021"}, {"ref": "mehedimuaz/handle-skewed-data-and-go-with-xgbclassifier", "kernel_id": "20468769"}, {"ref": "ajaysamp/tps-sep-eda", "kernel_id": "20234446"}, {"ref": "docxian/tabular-playground-9-gradient-boosting-starter", "kernel_id": "20307099"}, {"ref": "datascientistsohail/xgboost-classifier-using-cv", "kernel_id": "20316734"}, {"ref": "datascientistsohail/creating-kfold-for-tabular-series-comp", "kernel_id": "20316906"}, {"ref": "datascientistsohail/using-xgboostclassifier-without-cv", "kernel_id": "20260461"}, {"ref": "mnavaidd/tps-sept-2021-eda-multiple-models-blending", "kernel_id": "20552977"}, {"ref": "revathiprakash/tps-sep-2021-rapids", "kernel_id": "20295956"}, {"ref": "rahul1594/tps-catboost-using-simpleimputer", "kernel_id": "20325487"}, {"ref": "jishaanujose/playground-sep-xbg", "kernel_id": "20597826"}, {"ref": "khankamranali/simple-keras-hyperparameter-early-stop", "kernel_id": "20508181"}, {"ref": "shenurisumanasekara/catboost-step-by-step", "kernel_id": "20537098"}, {"ref": "shenurisumanasekara/catboost-step-by-step-improved", "kernel_id": "20673595"}, {"ref": "shenurisumanasekara/lgbm-simpleimputer-step-by-step", "kernel_id": "20508628"}, {"ref": "shenurisumanasekara/xgboost-simpleimputer", "kernel_id": "20512714"}, {"ref": "shenurisumanasekara/xgbclasssifier-step-by-step", "kernel_id": "20483075"}, {"ref": "danieleongari/tps-sep21-7-cool-python-packages-i-m-telling-you", "kernel_id": "20321177"}, {"ref": "ryanholbrook/getting-started-september-2021-tabular-playground", "kernel_id": "20069065"}, {"ref": "craigmthomas/tps-sep-2021-null-eda", "kernel_id": "20467306"}, {"ref": "jurk06/imputation", "kernel_id": "20411772"}, {"ref": "gsingh7/creating-10-folds", "kernel_id": "20232995"}, {"ref": "jagdmir/tabular-playground-series-sep-2021-xgboost", "kernel_id": "20596906"}, {"ref": "seungtaekim/tabular-playground-series-september", "kernel_id": "20327958"}, {"ref": "manabendrarout/custom-stacking-of-classifiers-gpu-tps-sep2021", "kernel_id": "20299025"}, {"ref": "virasydoriak/simple-logistic-regression-very-fast-with-sklearn", "kernel_id": "20405872"}, {"ref": "fadibadine/classification-using-tensorflow-decision-forests", "kernel_id": "20914293"}, {"ref": "haozhang607/tabular-playground-series-sep-2021", "kernel_id": "20894254"}, {"ref": "nancydrew/tps-sept-eda-xgboost-lgbm-catboost", "kernel_id": "20667585"}, {"ref": "smiles28/tps-september-lgbm", "kernel_id": "20225559"}, {"ref": "ayoubberdeddouch/tps-sep21-aberd", "kernel_id": "20348968"}, {"ref": "firefliesqn/tabnet-cv-0-81", "kernel_id": "20330201"}, {"ref": "firefliesqn/simple-keras-cpu-100-data", "kernel_id": "20295092"}, {"ref": "firefliesqn/lightgbm-starter", "kernel_id": "20572976"}, {"ref": "nancyalaswad90/getting-started-september-2021-tabular-playground", "kernel_id": "20287096"}, {"ref": "omarvivas/torch-tps-sep2021", "kernel_id": "20380718"}, {"ref": "cmarquay/eda-pyspark", "kernel_id": "20284960"}, {"ref": "cmarquay/eda-skewness", "kernel_id": "20244314"}, {"ref": "keenborder/boosting-models-with-feature-engineering-optuna", "kernel_id": "20224916"}, {"ref": "stpeteishii/tps0921-lgbm-optuna", "kernel_id": "20302885"}, {"ref": "stpeteishii/tps0921-xgboost-optuna", "kernel_id": "20257082"}, {"ref": "stpeteishii/tps0921-lgbm-visualize-importance", "kernel_id": "20261150"}, {"ref": "stpeteishii/tps0921-data-histplot", "kernel_id": "20255708"}, {"ref": "sgiuri/sep21tp-eda-na-handle-xgbc", "kernel_id": "20233700"}, {"ref": "sgiuri/sep21tp-xgbc-multirnd-stacking", "kernel_id": "20438148"}, {"ref": "sgiuri/sep21tp-optuna-xgbc", "kernel_id": "20421581"}, {"ref": "sgiuri/sep21tp-stratifiedkfold-and-roc-curves", "kernel_id": "20418756"}, {"ref": "sgiuri/sep21tp-conf-mat-precision-recall-roc-auc", "kernel_id": "20395819"}, {"ref": "sgiuri/sep21tp-na-feature-importance", "kernel_id": "20505296"}, {"ref": "sgiuri/sep21tp-na-vs-zeros-vs-mean-vs-median-vs-cini", "kernel_id": "20305286"}, {"ref": "sgiuri/sep21tp-optuna-feature-eng-xgbc", "kernel_id": "20346456"}, {"ref": "sgiuri/sep21tp-optuna-catboost", "kernel_id": "20596246"}, {"ref": "sgiuri/sep21tp-multirnd-stacking-adv", "kernel_id": "20585797"}, {"ref": "sgiuri/sep21tp-catboost-xgb-stacking", "kernel_id": "20629896"}, {"ref": "jarupula/tps-sep-getting-started", "kernel_id": "20224247"}, {"ref": "ted0071/tps-sep-2021", "kernel_id": "20246916"}, {"ref": "ashudv/transformer-ae", "kernel_id": "20607357"}, {"ref": "vatsalparsaniya/tps-sep-2021-t-sne-rapids", "kernel_id": "20228723"}, {"ref": "sunilhule/tps-sep-2021-eda", "kernel_id": "20234178"}, {"ref": "bosnomer/tps-sept-eda", "kernel_id": "20298209"}, {"ref": "mpwolke/so-many-f-f-f-no-ctgan", "kernel_id": "20247265"}, {"ref": "rsizem2/tps-09-21-simple-xgboost-model", "kernel_id": "20569585"}, {"ref": "rsizem2/tps-09-21-tensorflow-decision-forests", "kernel_id": "20723884"}, {"ref": "swagician/r-missing-values-h2o4gpu-imputation-rf-gb-nn", "kernel_id": "20223914"}, {"ref": "udbhavpangotra/models-lots-of-them-d", "kernel_id": "20414144"}, {"ref": "udbhavpangotra/extensive-eda-baseline-shap", "kernel_id": "20228909"}, {"ref": "moizkhan11/tabularplayground-models", "kernel_id": "20638478"}, {"ref": "zhangcheche/tabular-sep-xgboost-optuna", "kernel_id": "20334174"}, {"ref": "legendsoul/tps-09-21-eda-xgboost-lgbm-blending", "kernel_id": "20811830"}, {"ref": "sureshmecad/tps-sep-2021-eda", "kernel_id": "20327327"}, {"ref": "divyhshah/tps-21", "kernel_id": "20323649"}, {"ref": "praveentoppo/tps-sep-21-folds", "kernel_id": "20387365"}, {"ref": "pavan9065/exploring-power-averaging-jump-in-lb", "kernel_id": "20684265"}, {"ref": "pavan9065/tps-h2o-automl", "kernel_id": "20599843"}, {"ref": "chamecall/tps-pytorch-lightning", "kernel_id": "20236676"}, {"ref": "hamzaghanmi/tps-sep-starter-eda-xgboost", "kernel_id": "20232414"}, {"ref": "shivamkc3/tabular-series-using-automl-pycaret", "kernel_id": "20293326"}, {"ref": "pradosh123/sep-playground-kfold-10", "kernel_id": "20253931"}, {"ref": "jay9171/tps-sep-pycaret", "kernel_id": "20890851"}, {"ref": "jay9171/tps-pycaret", "kernel_id": "20895455"}, {"ref": "agshinbayli/tuned-and-calibrated-models-tps-sep-2021", "kernel_id": "20245956"}, {"ref": "heerendra/beginner-friendly-end-to-end", "kernel_id": "20261905"}, {"ref": "undersc0re/feature-selection-tps", "kernel_id": "20433716"}, {"ref": "akmeghdad/tps-0921-essential", "kernel_id": "20581995"}, {"ref": "shreyashgupta88/kfold-tuning-xgb-using-optuna", "kernel_id": "20253916"}, {"ref": "tarunbisht11/tps-xgb-gpu-parameter-tuning", "kernel_id": "20256622"}, {"ref": "tarunbisht11/tps-september-xgb-in-gpu-baseline", "kernel_id": "20233650"}, {"ref": "prikshitsingla/master-the-tabular-first-baseline", "kernel_id": "20240929"}, {"ref": "hyunjunkim133/basiceda-to-baseline", "kernel_id": "20946727"}, {"ref": "devsubhash/tps-xgboost-kfold-stacking-eda", "kernel_id": "20263007"}, {"ref": "devsubhash/tps-lightautoml-h2o", "kernel_id": "20213984"}, {"ref": "simodake/lightbgm", "kernel_id": "20365141"}, {"ref": "chinmaymaganur/optuna-lgb-80-06", "kernel_id": "20389147"}, {"ref": "mafrojaakter/sep-2021tabular-tensorflow", "kernel_id": "20362620"}, {"ref": "mafrojaakter/september-2021-tabular", "kernel_id": "20354578"}, {"ref": "mafrojaakter/tabularsep21-neuralnetworkmodel", "kernel_id": "20514232"}, {"ref": "mafrojaakter/tabularsep21-kfolddataset", "kernel_id": "20434279"}, {"ref": "nonthiwat/r-project-tabular-playground", "kernel_id": "20306378"}, {"ref": "melanie7744/tps9-how-to-transform-your-data", "kernel_id": "20502768"}, {"ref": "melanie7744/tps9-eda-comparison-train-test-set", "kernel_id": "20440899"}, {"ref": "melanie7744/tps-9-different-data-transformations", "kernel_id": "20549386"}, {"ref": "maksymshkliarevskyi/tps-sep-all-for-start-eda-xgb-catboost-baseline", "kernel_id": "20222684"}, {"ref": "squarex/tps-092021-modelling", "kernel_id": "20742003"}, {"ref": "carlmcbrideellis/classification-using-tensorflow-decision-forests", "kernel_id": "20227721"}, {"ref": "carlmcbrideellis/tps-sep-2021-simple-nan-model-0-79446", "kernel_id": "20303743"}, {"ref": "rockyyashchauhan/notebook6d34382a9e", "kernel_id": "20687835"}, {"ref": "fragerz/tabular-tin", "kernel_id": "20807255"}, {"ref": "tensorchoko/tabular-sep-2021-lightgbm", "kernel_id": "20234662"}, {"ref": "lukaszborecki/pytorch-fork-of-tps-09-nn", "kernel_id": "20485379"}, {"ref": "lukaszborecki/tps-09-nn", "kernel_id": "20231144"}, {"ref": "mohitsahal/random-weights-blending-tool-tps-sep-2021", "kernel_id": "20300279"}, {"ref": "heoynwoo/simple-eda-for-beginner", "kernel_id": "20341168"}, {"ref": "tomoyaogawam/tps-sep-lightgbm-baseline-2", "kernel_id": "20225598"}, {"ref": "bernhardklinger/tps-lightgbm-feature-eng", "kernel_id": "20300974"}, {"ref": "Oldmonk3030/tps-sep-pseudolabeling", "kernel_id": "20575223"}, {"ref": "akihironomura/tps-lightgbm-optuna-kfold", "kernel_id": "20277855"}, {"ref": "akihironomura/tps-xgboost-kfold", "kernel_id": "20263237"}, {"ref": "manjunathns/play-ground-sep-2021-rev-01", "kernel_id": "20614514"}, {"ref": "khkuggle/eda-pre-processing-with-pca-xgbclassifier", "kernel_id": "20398625"}, {"ref": "antonellomartiello/tps09-autogluon", "kernel_id": "20229101"}, {"ref": "mustafacicek/tps-09-21-lightgbm-0-81772", "kernel_id": "20471199"}, {"ref": "mustafacicek/tps-09-21-xgboost-0-81785", "kernel_id": "20471395"}, {"ref": "mustafacicek/tps-09-21-eda", "kernel_id": "20269634"}, {"ref": "mustafacicek/tps-09-21-histgradientboosting-0-81765", "kernel_id": "20618535"}, {"ref": "mustafacicek/speeding-up-catboost-training", "kernel_id": "20660747"}, {"ref": "kalilurrahman/kaggle-sep2021-tabular-playground-eda", "kernel_id": "20285653"}, {"ref": "saileshnair/tps2021-feature-transform-algorithm-comparison", "kernel_id": "20359837"}, {"ref": "saileshnair/tps202109-normal-and-quick-eda", "kernel_id": "20303250"}, {"ref": "saileshnair/tps-2021-ann-hypermodel", "kernel_id": "20418379"}, {"ref": "guptadikshant/tabular-kfold", "kernel_id": "20440155"}, {"ref": "bannourchaker/step0-complete-eda-dataunderstanding", "kernel_id": "20418893"}, {"ref": "bannourchaker/deep-learning-starter-gpu", "kernel_id": "20374347"}, {"ref": "bannourchaker/crsipdm-guide-hgbc-speed-cv-parallelism", "kernel_id": "20810821"}, {"ref": "bannourchaker/modern-parallel-distributed-pythonscikitlearn", "kernel_id": "20562991"}, {"ref": "himanshunitrr/tps-sep", "kernel_id": "20301883"}, {"ref": "yanngarcia/september-2021-tabular-playground", "kernel_id": "20257158"}, {"ref": "aniruddhapa/insurance-claim-prediction-using-deep-learning", "kernel_id": "20837344"}, {"ref": "sergeyzemskov/tps-21-09-stacking-ensemble-lgbm-catboost-xgboost", "kernel_id": "20866713"}, {"ref": "pvtrmalli/xgboost-vs-logisticregression-optuna-features", "kernel_id": "20322284"}, {"ref": "pvtrmalli/methods-to-handle-missing-value", "kernel_id": "20351323"}, {"ref": "lonnieqin/catboost-tabular-playground-prediction-sep-2021", "kernel_id": "20243709"}, {"ref": "umairalam/tabular-playground-with-catboost", "kernel_id": "20403583"}, {"ref": "bextuychiev/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20511503"}, {"ref": "bextuychiev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "20289477"}, {"ref": "bextuychiev/how-to-beat-the-heck-out-of-xgboost-with-lightgbm", "kernel_id": "20261920"}, {"ref": "bextuychiev/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "20761982"}, {"ref": "scr0ll0/sep-2021-lgbm-xgb-catboost-optuna", "kernel_id": "20453794"}, {"ref": "scr0ll0/sep-2021-autogluon-feature-engineering", "kernel_id": "20379298"}, {"ref": "woongjunch/tabular-playground-sep-2021-woong", "kernel_id": "20717694"}, {"ref": "woongjunch/tps-09-simple-blend-stacking-xgb-lgbm-catb", "kernel_id": "20798890"}, {"ref": "heiswicked/smtm-s-tps-sep-2021-eda", "kernel_id": "20527503"}, {"ref": "heiswicked/smtm-s-tps-sep-catboost", "kernel_id": "20631508"}, {"ref": "ransakaravihara/starter-notebook-xgboostbaseline", "kernel_id": "20468828"}, {"ref": "priyank7/baseline", "kernel_id": "20305434"}, {"ref": "priyank7/tps09-try1", "kernel_id": "20316825"}, {"ref": "priyank7/tps-efficient-data-visualization", "kernel_id": "20279153"}, {"ref": "somayyehgholami/1-tps-sep-21-autogluon-missing-values", "kernel_id": "20360712"}, {"ref": "ranjeetshrivastav/catboost-lightgbm", "kernel_id": "20309556"}, {"ref": "zsxoff/tps-sep-2021-lightautoml-baseline", "kernel_id": "20817340"}, {"ref": "vinayakshanawad/tps-sep-2021-my-first-eda-in-tps", "kernel_id": "20440642"}, {"ref": "mrigendraagrawal/tps-sep-eda-and-starter", "kernel_id": "20213528"}, {"ref": "shreyaspj/tabular-playground-series-0-8181-auc", "kernel_id": "20601857"}, {"ref": "towhidultonmoy/xgboost-with-preprocessed-dataset-tps-sep", "kernel_id": "20621905"}, {"ref": "towhidultonmoy/tuned-lightgbm", "kernel_id": "20632450"}, {"ref": "towhidultonmoy/part1-processing-data-with-full-explanation", "kernel_id": "20582637"}, {"ref": "towhidultonmoy/part2-neural-network-with-full-explanation", "kernel_id": "20583808"}, {"ref": "towhidultonmoy/lgbm-on-cpu", "kernel_id": "20768113"}, {"ref": "towhidultonmoy/keras-neural-network-code-with-full-explanation", "kernel_id": "20497373"}, {"ref": "towhidultonmoy/tabular-playground-series-sep-2021-eda", "kernel_id": "20266136"}, {"ref": "kimchanyoung/tps-sep-2021-automl-pca-quick-use", "kernel_id": "20239586"}, {"ref": "viveksalunkhe/tabular-playground-sep-2021-lgbm-with-5-folds", "kernel_id": "20274754"}, {"ref": "randyli2/wells-fargo", "kernel_id": "20229475"}, {"ref": "kennethquisado/xgboost-10fold-cv-blend", "kernel_id": "20225500"}, {"ref": "yvamshivardhan/sept-2021", "kernel_id": "20233260"}, {"ref": "yvamshivardhan/sept-2021-nan-filling", "kernel_id": "20308039"}, {"ref": "mlanhenke/tps-09-optuna-study-catboostclassifier", "kernel_id": "20260933"}, {"ref": "mlanhenke/tps-09-simple-blend-stacking-xgb-lgbm-catb", "kernel_id": "20276453"}, {"ref": "mlanhenke/tps-09-simple-basic-stacking-lgbm-catb-xgb", "kernel_id": "20448485"}, {"ref": "mlanhenke/tps-09-spot-check-xgb-lgbm-catb-gpu", "kernel_id": "20228010"}, {"ref": "mlanhenke/tps-09-single-catboostclassifier", "kernel_id": "20234874"}, {"ref": "azzamradman/single-catboost-baseline-with-simple-eda", "kernel_id": "20224344"}, {"ref": "swetash/september-21-tps-lgbm", "kernel_id": "20812255"}, {"ref": "ranjeer/pg-sep2021", "kernel_id": "20290799"}, {"ref": "bakar31/tps-sept-baseline", "kernel_id": "20371800"}, {"ref": "ravindrasonawane/xgboost-baseline", "kernel_id": "20339153"}, {"ref": "ravindrasonawane/tabular-playground-series-september-2021", "kernel_id": "20233363"}, {"ref": "munumbutt/automl-autogluon", "kernel_id": "20268725"}, {"ref": "tracyporter/sep-21-tabular", "kernel_id": "20259350"}, {"ref": "aristotle609/eda-and-model", "kernel_id": "20230484"}, {"ref": "madhuri15/tps-sept2021", "kernel_id": "20232637"}, {"ref": "venkatkumar001/tps-sep-2021-automl", "kernel_id": "20236323"}, {"ref": "venkatkumar001/tps-sep-2021-catboost-lgbm-xgb", "kernel_id": "20279767"}, {"ref": "amiteshgangrade/lgbm-optuna-hyperparameter-tuning", "kernel_id": "20325943"}, {"ref": "amiteshgangrade/baseline-xgbclassifier", "kernel_id": "20225510"}, {"ref": "kavehshahhosseini/tps-sep-2021-kmeans-and-pca-for-new-features", "kernel_id": "20593871"}, {"ref": "kavehshahhosseini/tps-sep-2021-blending-xgboost-catboost", "kernel_id": "20530166"}, {"ref": "mithun162001/september-playground-series", "kernel_id": "20336707"}, {"ref": "desalegngeb/sept-2021-tps-eda-models", "kernel_id": "20224017"}, {"ref": "manthanbhagat/tps-sep-2k21-stratifiedkfold", "kernel_id": "20238223"}, {"ref": "aaronds/tps-step2021", "kernel_id": "20778324"}, {"ref": "bibhabasumohapatra/only-xgboost-no-parameter", "kernel_id": "20366335"}, {"ref": "bibhabasumohapatra/lightgbm-hyperparameters", "kernel_id": "20351589"}, {"ref": "mohammadkashifunique/hyperparameter-tuning-lgbm-optuna", "kernel_id": "20245997"}, {"ref": "mohammadkashifunique/xgboost-hyperparametertuning-optuna", "kernel_id": "20497273"}, {"ref": "mohammadkashifunique/histgradientboost-hyperparamtuning-optuna-viz", "kernel_id": "20509349"}, {"ref": "mohammadkashifunique/automated-eda-using-autoviz", "kernel_id": "20286987"}, {"ref": "kishorthakre/tabular-playground-s21-kaggle", "kernel_id": "20613251"}, {"ref": "pradipkumardas/tabular-playground-series-sep-2021", "kernel_id": "20309281"}, {"ref": "ankitkalauni/stop-it-get-some-help-0-81867-auc", "kernel_id": "20780604"}, {"ref": "ankitkalauni/6th-place-solution-stacking-0-81875", "kernel_id": "20904253"}, {"ref": "brendanartley/sep-21-tab-series-lgbm-optuna", "kernel_id": "20582665"}, {"ref": "aravind2608/feature-selection-techniques", "kernel_id": "20236612"}, {"ref": "deepak915/win-tps-like-a-pro", "kernel_id": "20468644"}, {"ref": "kieranmcgee/tps-september-lightautoml-baseline", "kernel_id": "20224549"}, {"ref": "theodormihaiiliant/tabular-september-eda", "kernel_id": "20347356"}, {"ref": "realtimshady/quick-eda-autoviz", "kernel_id": "20230100"}, {"ref": "realtimshady/lightgbm", "kernel_id": "20332868"}, {"ref": "realtimshady/single-simple-lightgbm", "kernel_id": "20359631"}, {"ref": "realtimshady/stack-xgb-lgbm-catb", "kernel_id": "20699357"}, {"ref": "realtimshady/new-optuna-lgbm", "kernel_id": "20703550"}, {"ref": "priyaduttbhatt/feature-selection-tps-sep2021", "kernel_id": "20613676"}, {"ref": "priyaduttbhatt/tps-sep2021", "kernel_id": "20497050"}, {"ref": "ekaterinadranitsyna/kerastuner-tf-decision-forest", "kernel_id": "20391583"}, {"ref": "mhslearner/simple-eda-h2oautoml", "kernel_id": "20236526"}, {"ref": "loycelorenzo/tabular-playground-series-sep-2021", "kernel_id": "20699016"}, {"ref": "saiabhitejachepuri/tps-sep-eda", "kernel_id": "20227701"}, {"ref": "saiabhitejachepuri/xgboost-optuna", "kernel_id": "20387526"}, {"ref": "saiabhitejachepuri/simple-blend", "kernel_id": "20259090"}, {"ref": "adamwurdits/tps09-lgbm-2", "kernel_id": "20408053"}, {"ref": "adamwurdits/tps-09-2021-stack", "kernel_id": "20865601"}, {"ref": "smita09/tps-sep-worst-solution", "kernel_id": "20248259"}, {"ref": "smita09/simplelogisticregression-80-5", "kernel_id": "20443590"}, {"ref": "kelizatoh/sep-2021-tabular-playground-logistic-regression", "kernel_id": "20621839"}, {"ref": "kelizatoh/sep-2021-tabular-playground-lightautoml", "kernel_id": "20943874"}, {"ref": "kelizatoh/sep-2021-tabular-playground-decision-tree", "kernel_id": "20802810"}, {"ref": "thbalaji/day-28", "kernel_id": "20361817"}, {"ref": "ninamaamary/tabnet-approach-semi-supervised-tps-09", "kernel_id": "20697219"}, {"ref": "yus002/eda-using-tensorflow-data-validation", "kernel_id": "20227434"}, {"ref": "yus002/tps-09-will-i-overfit", "kernel_id": "20227264"}, {"ref": "yus002/random-weights-blending-tool-tps-sep-2021", "kernel_id": "20226580"}, {"ref": "gulerkaya/to-submit-or-not-submit", "kernel_id": "20910624"}, {"ref": "jeongbinpark/tps-sep-2021-lightgbm", "kernel_id": "20227692"}, {"ref": "edwintyh/tps09-21-automl-h2o", "kernel_id": "20256499"}, {"ref": "edwintyh/tps09-21-optuna-hpo-xgb-lbg", "kernel_id": "20296482"}, {"ref": "anandhuh/tps-september-21-simple-catboost", "kernel_id": "20482230"}, {"ref": "guanboon/20210902-tps-base-line", "kernel_id": "20250733"}, {"ref": "pavfedotov/blending-tps-sep-21", "kernel_id": "20289022"}, {"ref": "pavfedotov/improving-sep21-lightautoml-starter", "kernel_id": "20346017"}, {"ref": "rishabhkumar11081994/rishabhs-swag", "kernel_id": "20805802"}, {"ref": "phamtheds/getting-started-september-2021-tabular-playground", "kernel_id": "20239856"}, {"ref": "ashokkumarpalivela/tps-sep21", "kernel_id": "20617775"}, {"ref": "breqaiz/tabular-playground-create-folds", "kernel_id": "20262719"}, {"ref": "hsuchialun/tps-blending", "kernel_id": "20287225"}, {"ref": "hsuchialun/tps-lightgbm-kfold", "kernel_id": "20265795"}, {"ref": "hsuchialun/tps-xgboost-kfold-with-gpu", "kernel_id": "20253685"}, {"ref": "astashiro/tps-sep2021-01pycaret-lightgbm", "kernel_id": "20431151"}, {"ref": "astashiro/tps-sep2021-02lightautoml", "kernel_id": "20276348"}, {"ref": "sharmoul/tps-sep21-eda", "kernel_id": "20243049"}, {"ref": "sharmoul/lightgbm-tuning", "kernel_id": "20291056"}, {"ref": "sharmoul/catboost-tuning", "kernel_id": "20293283"}, {"ref": "sharmoul/tps-sept-imputation-with-lightgbm", "kernel_id": "20305483"}, {"ref": "sharmoul/xgboost-tuning", "kernel_id": "20514471"}, {"ref": "sharmoul/tps-sept21-lgbm-cv5", "kernel_id": "20486536"}, {"ref": "pranjalchatterjee/stacking-2-levels-base-5-models-tps-sep-21", "kernel_id": "20453957"}, {"ref": "official6pack/last-submission-for-sep30-stacking", "kernel_id": "20842327"}, {"ref": "official6pack/sep-tps-create-15-folds", "kernel_id": "20225002"}, {"ref": "whitishlion/tabularplaygroundseries-sep2021", "kernel_id": "20299994"}, {"ref": "dlaststark/tps-sep-what-am-i-doing", "kernel_id": "20276840"}, {"ref": "dlaststark/tps-sep-lightautoml", "kernel_id": "20373664"}, {"ref": "dlaststark/tps-sep-single-catboost-model", "kernel_id": "20569153"}, {"ref": "dlaststark/tps-sep-single-xgboost-model", "kernel_id": "20553270"}, {"ref": "dlaststark/tps-sep-single-lightgbm-model", "kernel_id": "20547548"}, {"ref": "dlaststark/tps-sep-voting-classifier", "kernel_id": "20730480"}, {"ref": "reddy9819/tabular-playground-sep-2021", "kernel_id": "20155579"}, {"ref": "yasassandeepa/regression-techniques-pca", "kernel_id": "20690484"}, {"ref": "dmitryuarov/tps-voting-xgb-cb-lgbm", "kernel_id": "20233701"}, {"ref": "nizado/tabular-playground-series-sep-2021-2nd-edition", "kernel_id": "20393403"}, {"ref": "maryiakurdina/mlpclassifier-september-2021-playground", "kernel_id": "20651664"}, {"ref": "namithadeshpande027/tps-sept-2021-eda-xgboost", "kernel_id": "20245649"}, {"ref": "sankalpsrivastava26/tps-sept21-tensorflow-model-with-gpu", "kernel_id": "20232539"}, {"ref": "sankalpsrivastava26/tps-sep21-tuning-lightgbm-in-15-mins", "kernel_id": "20261431"}, {"ref": "kooose/tabular-playground-series-by-stacking-models", "kernel_id": "20635236"}, {"ref": "vamsikrishnab/tps-sep-simple-blend", "kernel_id": "20909588"}, {"ref": "vamsikrishnab/tps-sep-ann", "kernel_id": "20801259"}, {"ref": "rajarpatra/simple-feature-addition-with-catboost", "kernel_id": "20534553"}, {"ref": "elemento/tabplayseptember", "kernel_id": "20266133"}, {"ref": "johncenadon/september-trial-competition", "kernel_id": "20559377"}, {"ref": "rakeshrane/playground-series", "kernel_id": "20251792"}, {"ref": "sonjabutler/iterative-imputer-with-random-forest-regressor", "kernel_id": "20377616"}, {"ref": "gabtex/lightgbm", "kernel_id": "20399666"}, {"ref": "maximkazantsev/tps-09-21-eda-simple-xgboost", "kernel_id": "20228839"}, {"ref": "maximkazantsev/tps-09-21-eda-lightgbm-with-folds", "kernel_id": "20236931"}, {"ref": "maximkazantsev/tps-09-21-eda-xgboost-with-folds", "kernel_id": "20285377"}, {"ref": "maxdiazbattan/tps-2021-kfold-oom-solution", "kernel_id": "20525415"}, {"ref": "tariqchhussain/simple-eda-xgb-implementation-tps-sept-2021", "kernel_id": "20234372"}, {"ref": "javiervallejos/tps-sep-21-lightgbm-tuned", "kernel_id": "20405891"}, {"ref": "edwardjiwookkim/eda-tps-sep-2021", "kernel_id": "20227735"}, {"ref": "eugenebee/tps-sep-2021-xgb-early-stopping-rounds", "kernel_id": "20874081"}, {"ref": "radkin17/tpsep21-xgboost", "kernel_id": "20719208"}, {"ref": "radkin17/tpsep-5kfold-xgboost", "kernel_id": "20779873"}, {"ref": "rahiegadekar/a-beginners-approach-intel-extension-and-lightgbm", "kernel_id": "20440122"}, {"ref": "snikhil17/tabular-data-5folds-missing-values-imputed-median", "kernel_id": "20339476"}, {"ref": "snikhil17/making-basic-eda-attractive", "kernel_id": "20274258"}, {"ref": "snikhil17/stratified-kfolds", "kernel_id": "20249199"}, {"ref": "mrsumitjha/3-layer-stacking-using-stackclassifier-of-sklearn", "kernel_id": "20614499"}, {"ref": "jordiarellano/tabular-sep2021", "kernel_id": "20507442"}, {"ref": "jordiarellano/kmeans-nan-filler", "kernel_id": "20842230"}, {"ref": "nakamurasyuta/diff-scaller", "kernel_id": "20592019"}, {"ref": "samibenhsan/sbh-advanced-regression-techniques", "kernel_id": "20232442"}, {"ref": "hamidrezabakhtaki/xgboost-catboost-lighgbm-optuna-final-submission", "kernel_id": "20634595"}, {"ref": "hamidrezabakhtaki/xgb-uptuna-lightbm-cleancode", "kernel_id": "20455857"}, {"ref": "dhruvbajaj01/getting-started-september-2021-tabular-playground", "kernel_id": "20240212"}, {"ref": "dhruvbajaj01/pycaret", "kernel_id": "20807055"}, {"ref": "hrshuvo/stack", "kernel_id": "20530468"}, {"ref": "hrshuvo/tps-0921-stack-blend", "kernel_id": "20570121"}, {"ref": "bserdogan/tps-09-21-eda-basics", "kernel_id": "20253314"}, {"ref": "alexeykolobyanin/tps-sep-ridge-with-sklearn-intelex-2x-speedup", "kernel_id": "20534455"}, {"ref": "flafuji/tps-sep2021-xgboost", "kernel_id": "20239837"}, {"ref": "narendrasan/how-to-work-w-million-row-datasets-like-a-pro", "kernel_id": "20652847"}, {"ref": "merrickolivier/tabular-competition-stacking-with-optuna", "kernel_id": "20302570"}, {"ref": "merrickolivier/blending-ensemble-for-classification", "kernel_id": "20320423"}, {"ref": "e34444/classification-using-tensorflow-gradientboosted", "kernel_id": "20273668"}, {"ref": "truongdang1311/xgboosting-gpu-with-optuna-boosting-gbtree", "kernel_id": "20712027"}, {"ref": "truongdang1311/tabular-sep-2021-automl", "kernel_id": "20286595"}, {"ref": "amrutak050505/logistic-regression-gaussian-nb", "kernel_id": "20447878"}, {"ref": "amrutak050505/tabular-playground-series-dt-nb-knn-automl-h2o", "kernel_id": "20403991"}, {"ref": "juanpasutti/tps-09-21-chi2-test-for-missing-values", "kernel_id": "20750866"}, {"ref": "mlevytskyi/sgdclassifier-randomizedsearchcv", "kernel_id": "20561881"}, {"ref": "berkcanucan/tps-sep-2021-tensorflow-cnn", "kernel_id": "20690027"}, {"ref": "adityastark07/top-7-solution", "kernel_id": "20915653"}, {"ref": "ivankontic/004-1o-sketchup1-and-ann-dataset", "kernel_id": "20402561"}, {"ref": "ivankontic/004-2o-lightgbm-colsample-tps-sep-2021", "kernel_id": "20763169"}, {"ref": "edrickkesuma/introduction-to-bagging-submissions", "kernel_id": "20729543"}, {"ref": "edrickkesuma/power-averaging-is-your-friend", "kernel_id": "20655355"}, {"ref": "edrickkesuma/20th-place-solution-power-averaging-ftw", "kernel_id": "20635450"}, {"ref": "edrickkesuma/eda-cleaning-baseline-classifiers", "kernel_id": "20544094"}, {"ref": "edrickkesuma/in-depth-power-averaging-0-81848", "kernel_id": "20824509"}, {"ref": "satoshiss/tabular-playground-september", "kernel_id": "20241033"}, {"ref": "aleksandraposka/mljar-automl-starter-tps-sep21", "kernel_id": "20230027"}, {"ref": "aleksandraposka/mljar-automl-starter-optuna-mode-tps-sep-21", "kernel_id": "20230193"}, {"ref": "deependraparichha/tps-sep-2021", "kernel_id": "20620296"}, {"ref": "vishnupriyavijayan/eda-test-for-playground", "kernel_id": "20421491"}, {"ref": "egemenuurdalg/cross-validation-variations", "kernel_id": "20417625"}, {"ref": "egemenuurdalg/roc-curves-explained", "kernel_id": "20434534"}, {"ref": "nitinrajput47/tps-aug-light-gbm", "kernel_id": "20280979"}, {"ref": "nitinrajput47/blending-sep", "kernel_id": "20308288"}, {"ref": "nitinrajput47/eda-with-simple-approach", "kernel_id": "20225843"}, {"ref": "nitinrajput47/tps-aug-basemodel", "kernel_id": "20253193"}, {"ref": "mrshivanshuagnihotri/model-1-3", "kernel_id": "20306275"}, {"ref": "mahditavakol/sep21-xgboost", "kernel_id": "20270314"}, {"ref": "mahditavakol/sep-2021", "kernel_id": "20329817"}, {"ref": "kalyanackrovvidy/chi2-feature-selection", "kernel_id": "20310303"}, {"ref": "tsubajiro/simple-neural-network", "kernel_id": "20261451"}, {"ref": "junhyeok99/simple-automl-for-beginner-pycaret", "kernel_id": "20227405"}, {"ref": "junhyeok99/stacking-ensemble-for-beginner", "kernel_id": "20224576"}, {"ref": "lynnserizawa/ls-sept", "kernel_id": "20247676"}, {"ref": "martynovandrey/one-model-voting-from-0-81800-to-0-81837", "kernel_id": "20593664"}, {"ref": "martynovandrey/one-model-catboost-voting", "kernel_id": "20748553"}, {"ref": "martynovandrey/single-model-catboost-voting", "kernel_id": "20764380"}, {"ref": "martynovandrey/tps-september-lgbm", "kernel_id": "20323615"}, {"ref": "martynovandrey/prediction-without-model", "kernel_id": "20376817"}, {"ref": "prinzitzak/tabular-playground-series-sep-2021", "kernel_id": "20277820"}, {"ref": "eminserkanerdonmez/september-playground", "kernel_id": "20707730"}, {"ref": "shahedislam/blend-gdc", "kernel_id": "20626940"}, {"ref": "woodiedudy/just-boost", "kernel_id": "20606026"}, {"ref": "robinbaldeo/notebookb8e6e27ba3", "kernel_id": "20846214"}, {"ref": "christoforum/lightgbm-optuna-tps-sep-2021", "kernel_id": "20388534"}, {"ref": "jaikr18/tps-sept-eda-baseline-models-for-beginners", "kernel_id": "20349116"}, {"ref": "jaikr18/tps-sept-detailed-eda-optuna-with-gpu-support", "kernel_id": "20521158"}, {"ref": "jaikr18/tps-sept-analysis-neural-network", "kernel_id": "20814624"}, {"ref": "fazlencodes/randomforestclassifier1", "kernel_id": "20300667"}, {"ref": "fazlencodes/tabular-playground-create5-folds", "kernel_id": "20250809"}, {"ref": "guptadev26/sept-tsp-xgb-cat", "kernel_id": "20243689"}, {"ref": "shivansh002/tame-your-neural-network-once-for-all", "kernel_id": "20241756"}, {"ref": "shivansh002/nothing-to-see-here", "kernel_id": "20395001"}, {"ref": "gagangulati/simple-automl-pycaret", "kernel_id": "20261842"}, {"ref": "sorty24/kagglecomp", "kernel_id": "20287785"}, {"ref": "sorty24/xgboost", "kernel_id": "20292055"}, {"ref": "wumingyang/0-81793-0-81825-by-greedyensemble", "kernel_id": "20873927"}, {"ref": "pradeepchandrasuyal/outlier-handling-lgbm-without-hyprparameter-tuning", "kernel_id": "20604514"}, {"ref": "pradeepchandrasuyal/lightgbm-without-tuning", "kernel_id": "20743989"}, {"ref": "pradeepchandrasuyal/kfold-outlier-handling-lgbm", "kernel_id": "20905951"}, {"ref": "emelda2021/0929-catboost-max-min", "kernel_id": "20879292"}, {"ref": "mitishaagarwal/tps-sep-catboost-classifier", "kernel_id": "20574984"}, {"ref": "jeongkyulim/cheer-up-r-simple-baseline-catboost", "kernel_id": "20225343"}, {"ref": "jeongkyulim/how-to-handle-the-na-value-in-dataset", "kernel_id": "20273236"}, {"ref": "boneacrabonjac/stratified-kfolds", "kernel_id": "20313448"}, {"ref": "moraeslucas/tps-set-8", "kernel_id": "20602424"}, {"ref": "moraeslucas/tps-set-6", "kernel_id": "20488553"}, {"ref": "vaby667/filna-isolationforest-to-detect-outliers", "kernel_id": "20308404"}, {"ref": "m1y7k8/tabular-sep-21-23", "kernel_id": "20822227"}, {"ref": "snehaljdhv/tps-2021-xgboost", "kernel_id": "20260451"}, {"ref": "willemtraupel/early-exploration-and-xgboost-benchmark", "kernel_id": "20224538"}, {"ref": "nesterenkomarina/pseudo-label-tps0921-deep-net-tensorflow-train-tpu", "kernel_id": "20308353"}, {"ref": "nesterenkomarina/tabular-data-generation-using-gans-tps0921", "kernel_id": "20318888"}, {"ref": "nesterenkomarina/tps0921-pre-deep-network-tensorflow-gpu", "kernel_id": "20277564"}, {"ref": "nesterenkomarina/tps-sep-deep-net-tensorflow-train-tpu", "kernel_id": "20242320"}, {"ref": "mhdi1380/tsp-xgboost", "kernel_id": "20787472"}, {"ref": "tolight20/tps-gmo-tolight20", "kernel_id": "20385800"}, {"ref": "seoltommy/gmo-submission", "kernel_id": "20395169"}, {"ref": "seoltommy/notebook45c0a8ec5b", "kernel_id": "20493157"}, {"ref": "rukimdev/tabular-playground-series-sep2021-feature-check", "kernel_id": "20418927"}, {"ref": "nghigia/notebookbd51362812", "kernel_id": "20242078"}, {"ref": "khule28/tabular-series-tensorflow-model-ordinal-encoding", "kernel_id": "20246561"}, {"ref": "khule28/lightgbm-regressor-model", "kernel_id": "20232319"}, {"ref": "khule28/getting-started-with-this-month-s-tabular-dataset", "kernel_id": "20229242"}, {"ref": "khule28/gradient-boosting-feature-engg-roc-auc-scores", "kernel_id": "20228962"}, {"ref": "khule28/tps-feature-importance-with-xgboosting-and-shap", "kernel_id": "20229651"}, {"ref": "khule28/tps-light-lgm-params-for-good-auc", "kernel_id": "20337701"}, {"ref": "khule28/simple-imputer-tps", "kernel_id": "20788537"}, {"ref": "mdzisun/staking-xgb-lgbm-catboost", "kernel_id": "20856200"}, {"ref": "mocuishled/gmo-eda", "kernel_id": "20502344"}, {"ref": "liveyourdreams/tabularplaygroundseriesxgboost", "kernel_id": "20311431"}, {"ref": "liveyourdreams/tabularplaygroundseriesdataanalysis", "kernel_id": "20309692"}, {"ref": "nikhilsharma24/gbm-r-h2o", "kernel_id": "20438265"}, {"ref": "nicholasvolpe/september-tabular-challenge-rf-xgboost-catboost", "kernel_id": "20328878"}, {"ref": "nicholasvolpe/sept-tps-automated-ml-with-tpot-for-python", "kernel_id": "20408736"}, {"ref": "mfedeli/kaggle-tabular-playground-series-sept-2021", "kernel_id": "20553404"}, {"ref": "takahiroyoshida012/eda-lightgbm-hyperparameter-tuning-using-optuna", "kernel_id": "20241038"}, {"ref": "takahiroyoshida012/tps-sep-2021-smart-ensembling", "kernel_id": "20268422"}, {"ref": "ratorato/tabnet-tabular-playground-series-sep-2021", "kernel_id": "20271764"}, {"ref": "aryaaryan/tps-sep-eda-and-starter", "kernel_id": "20350619"}, {"ref": "aryaaryan/catboost-tabular-playground-prediction-sep-2021", "kernel_id": "20346705"}, {"ref": "rafidameermahmud/tps-sep-stacking-xgb-lgbm", "kernel_id": "20340578"}, {"ref": "rafidameermahmud/tps-sep-pipeline-xgb-lgbm", "kernel_id": "20511954"}, {"ref": "pranjalkumarnandi/catboost-tps-sep-10-folds", "kernel_id": "20827283"}, {"ref": "pranjalkumarnandi/xgboost-tps-sep-10-folds", "kernel_id": "20542328"}, {"ref": "pranjalkumarnandi/creating-folds", "kernel_id": "20541661"}, {"ref": "meherajhossain/tps-sep2021-lightgbm-and-hyper-parameter-tuning", "kernel_id": "20505550"}, {"ref": "meherajhossain/tps-sep2021-create-folds", "kernel_id": "20519405"}, {"ref": "meherajhossain/tps-sep2021-xgb-and-hyper-parameter-tuning", "kernel_id": "20411680"}, {"ref": "meherajhossain/tps-sep2021-blending", "kernel_id": "20562084"}, {"ref": "meherajhossain/tps-sep2021-stacking", "kernel_id": "20563055"}, {"ref": "mpetrushanskyi/xgb-variations", "kernel_id": "20525414"}, {"ref": "datavisuals/write-powerful-code-w-custom-sklearn-transformers", "kernel_id": "20569407"}, {"ref": "datavisuals/notebook32ea3105e0", "kernel_id": "20592466"}, {"ref": "datavisuals/notebook463d0ae7dd", "kernel_id": "20592479"}, {"ref": "hyunee98/210917-claim", "kernel_id": "20588992"}, {"ref": "dontguess/ae-included-yet-not-so-fine", "kernel_id": "20613063"}, {"ref": "mrstrange007/blend-gdcv1", "kernel_id": "20672265"}, {"ref": "xiaoxiaoxiaoxiaoxiao/averaging-top-5-solutions", "kernel_id": "20865573"}, {"ref": "harshjhunjhunwala/starter-guide-to-trees-boosting-and-bagging", "kernel_id": "21577800"}, {"ref": "manjunathns/tabular-playground-sep-eda", "kernel_id": "21419694"}, {"ref": "bextuychiev/model-explainability-with-shap-only-guide-u-need", "kernel_id": "21050276"}, {"ref": "bextuychiev/how-to-touch-into-heart-of-matplotlib-a-create", "kernel_id": "21143773"}, {"ref": "bextuychiev/25-numpy-functions-you-never-knew-existed", "kernel_id": "21336444"}, {"ref": "sensudot/tabularsep2021-work", "kernel_id": "21583164"}, {"ref": "zhangcheche/tps-9-simple-xgboost-baseline", "kernel_id": "22595898"}, {"ref": "mfedeli/capstone", "kernel_id": "22335573"}, {"ref": "yuyougnchan/numeric-variable-end-with-this", "kernel_id": "22296593"}, {"ref": "zacharyluscher/model-explainability-with-shap-only-guide-u-need", "kernel_id": "26757071"}, {"ref": "zacharyluscher/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "26757194"}, {"ref": "nikolaikudriavtsev/lgbm-optuna-hyperparameter-tuning-w-understanding", "kernel_id": "28161869"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "abhishek/tabpfn3", "kernel_id": "31558783"}, {"ref": "kerfegar/tabularplaygroundsept", "kernel_id": "31322978"}, {"ref": "saadbouhya/tabular-playground-series", "kernel_id": "36935443"}, {"ref": "sharmoul/dataquest-challenge-1-catboost-tuning", "kernel_id": "37979941"}, {"ref": "riyaraizada/tabular-playground-series-sep-2021", "kernel_id": "51407628"}, {"ref": "nanmanaslin/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "51099158"}, {"ref": "wjchua/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "52491255"}, {"ref": "arielpelleng/kelompok-2-tabular-playrous-series", "kernel_id": "67973740"}, {"ref": "kmysa6505/notebook", "kernel_id": "125775836"}, {"ref": "yorozu800/tabular-yorozu800", "kernel_id": "125775723"}, {"ref": "rsckhcat/notebook65cb85f9ff", "kernel_id": "127557457"}, {"ref": "kmysa6505/fork-of-notebook-92b101", "kernel_id": "128448931"}, {"ref": "kohei39/notebook", "kernel_id": "128449982"}, {"ref": "togw04/notebookcb933b9e38", "kernel_id": "128437997"}]}
{"competition_id": "28010", "kernels": [{"ref": "ranjeetshrivastav/tps-nov-21-pycaret", "kernel_id": "18987663"}, {"ref": "shivansh002/a-gentle-guide-on-xgboost-hyperparameters", "kernel_id": "19500276"}, {"ref": "mt77pp/mljar-automl-tps-oct-21", "kernel_id": "20923556"}, {"ref": "mt77pp/mljar-studio-demo-tps-oct-21", "kernel_id": "20937635"}, {"ref": "alexryzhkov/fast-and-furious-lightautoml-starter", "kernel_id": "20937079"}, {"ref": "lucamassaron/feature-selection-using-boruta-shap", "kernel_id": "20939094"}, {"ref": "lucamassaron/autogluon-for-tabular-playground-oct-2021", "kernel_id": "20933052"}, {"ref": "rohanrao/automl-tutorial-tps-october-2021", "kernel_id": "20996530"}, {"ref": "arnabbiswas1/reference-doc-for-individual-columns-tps-oct", "kernel_id": "20942237"}, {"ref": "shrutisaxena/tps-oct-eda-automl-code-for-beginners", "kernel_id": "20928747"}, {"ref": "shrutisaxena/tps-oct-eda-beginners", "kernel_id": "20923420"}, {"ref": "sugamkhetrapal/tps-oct-2021-eda-sweetviz", "kernel_id": "20982698"}, {"ref": "usharengaraju/tensorflow-decision-forests-w-b", "kernel_id": "20923287"}, {"ref": "hardyxu52/tps-oct-2021-reduce-memory-usage-but-faster", "kernel_id": "20955084"}, {"ref": "aayush26/tps-oct-2021-load-dataset-faster", "kernel_id": "20923513"}, {"ref": "aayush26/tps-oct-2021-eda-101", "kernel_id": "20938853"}, {"ref": "susree64/tabular-playground-series-oct21", "kernel_id": "20932451"}, {"ref": "stmohd/tps-oct-2021-model-with-memory-reduced", "kernel_id": "20953198"}, {"ref": "jonigooner/histogradient-with-optuna", "kernel_id": "20927620"}, {"ref": "rogeriodelfim/01-tps-oct-eda-e-xgb", "kernel_id": "20929103"}, {"ref": "data2science/tps-10-21-single-xgboost-model", "kernel_id": "20943771"}, {"ref": "data2science/tps-10-21-catboost", "kernel_id": "20943781"}, {"ref": "data2science/tps-10-21-yet-another-simple-eda", "kernel_id": "20924676"}, {"ref": "data2science/save-some-time-switch-to-parquet-and-compress", "kernel_id": "20925144"}, {"ref": "data2science/tps-10-21-triple-boost-stacking", "kernel_id": "20950378"}, {"ref": "data2science/tps-10-21-visualizing-optuna-results", "kernel_id": "20985882"}, {"ref": "davidcoxon/first-look-at-october-data", "kernel_id": "20920140"}, {"ref": "peressim/tabular-playground-series-oct-2021-eda", "kernel_id": "20973084"}, {"ref": "cascadinglight/tabtransformer-gauss-rank-baseline-kfold", "kernel_id": "20967436"}, {"ref": "diwash1/tps-oct-2021-eda-model-with-lgbm", "kernel_id": "20962594"}, {"ref": "ottpocket/feather-creator-october", "kernel_id": "20936313"}, {"ref": "raahulsaxena/tps-oct-21-feature-experiments-with-catboost", "kernel_id": "20949494"}, {"ref": "raahulsaxena/tps-oct-21-data-check-and-feature-engineering", "kernel_id": "20924096"}, {"ref": "rahullalu/tps-oct-2021-eda-and-baseline", "kernel_id": "20923250"}, {"ref": "docxian/tabular-playground-10-first-glance-baseline", "kernel_id": "20924113"}, {"ref": "datascientistsohail/hyperparameterstuning-tps-oct2021-hyperopt", "kernel_id": "20961501"}, {"ref": "adizafar/tps-oct-xgboost-conclusion-till-now", "kernel_id": "20980565"}, {"ref": "revathiprakash/oct-2021-tps-baseline-cudf-tpot-gpu", "kernel_id": "20941395"}, {"ref": "nikhilkhetan/automl-tps-oct", "kernel_id": "20924122"}, {"ref": "nikhilkhetan/utility-for-large-datasets", "kernel_id": "20923249"}, {"ref": "nikhilkhetan/h20-automl", "kernel_id": "20985559"}, {"ref": "kojimar/lightgbm-with-optuna", "kernel_id": "20928236"}, {"ref": "craigmthomas/tps-oct-2021-eda", "kernel_id": "20920473"}, {"ref": "craigmthomas/tps-oct-2021-stacked-starter", "kernel_id": "20923822"}, {"ref": "srhyeu/starter-simple-auto-ml-with-h2o", "kernel_id": "20942620"}, {"ref": "pawan2905/tabular-playground-series-xgb", "kernel_id": "20950039"}, {"ref": "haozhang607/tabular-playground-series-oct-2021", "kernel_id": "20936068"}, {"ref": "saurabhshahane/pytorch-nn-baseline-for-beginners", "kernel_id": "20937162"}, {"ref": "smiles28/tps10-optuna-xgb-catb-lgbm-stacking", "kernel_id": "20929282"}, {"ref": "djagatiya/tps-oct-2021", "kernel_id": "20957401"}, {"ref": "stpeteishii/tps1021-data-histplot", "kernel_id": "20927213"}, {"ref": "stpeteishii/tps1021-prediction-lgbm", "kernel_id": "20928363"}, {"ref": "stpeteishii/tps1021-prediction-xgboost", "kernel_id": "20961195"}, {"ref": "stpeteishii/tps1021-lgbm-visualize-importance", "kernel_id": "20962188"}, {"ref": "sgiuri/oct21tp-basic-eda-memoryred-xgbc", "kernel_id": "20930832"}, {"ref": "subinium/tps-oct-simple-eda", "kernel_id": "20920002"}, {"ref": "mmellinger66/tps-oct-2021-basic-xgboost-cv", "kernel_id": "20935495"}, {"ref": "mmellinger66/tps-oct-2021-basic-cv-lgbm", "kernel_id": "20929247"}, {"ref": "vivek468/everything-i-learnt-in-a-kaggle-competition", "kernel_id": "20965784"}, {"ref": "nishantsushmakar/here-we-go", "kernel_id": "20988909"}, {"ref": "swagician/june-r-forest-imputation-adjusting-hyperparams", "kernel_id": "20919378"}, {"ref": "swagician/may-r-omnifarious-trees-h2o4gpu-feature-eval", "kernel_id": "20950820"}, {"ref": "legendsoul/tps-october-21-comprehensive-insight-of-eda", "kernel_id": "20985495"}, {"ref": "anirudhg15/tps-oct-21-part-2-blending-w-nvidia-rapids", "kernel_id": "20967707"}, {"ref": "anirudhg15/tps-oct-21-baseline-w-nvidia-rapids", "kernel_id": "20961757"}, {"ref": "hamzaghanmi/tps-oct-lightgbm", "kernel_id": "20926881"}, {"ref": "vkonstantakos/blending-weighted-rank-average", "kernel_id": "20971817"}, {"ref": "vkonstantakos/tps-october-lightautoml", "kernel_id": "20973589"}, {"ref": "vkonstantakos/tps-october-autogluon", "kernel_id": "20951729"}, {"ref": "vkonstantakos/tps-october-mljar", "kernel_id": "20948585"}, {"ref": "vkonstantakos/tps-october-flaml", "kernel_id": "20948957"}, {"ref": "akmeghdad/tps-1021-essential", "kernel_id": "20924331"}, {"ref": "akmeghdad/tps-1021-how-to-make-better-use-of-kaggle-memory", "kernel_id": "20928024"}, {"ref": "melanie7744/tps10-using-optuna-s-lightgbm-tuner", "kernel_id": "20924850"}, {"ref": "ritesh2000/tps-oct-21-fastai-baseline-w-b", "kernel_id": "20924397"}, {"ref": "mrutyunjaybiswal/tps-oct21-xgb-starter", "kernel_id": "20924118"}, {"ref": "mrutyunjaybiswal/tps-oct21-lgbm-starter", "kernel_id": "20949032"}, {"ref": "Oldmonk3030/tps-oct-2021-xgboost-pipeline-with-optuna", "kernel_id": "20921866"}, {"ref": "Oldmonk3030/tps-oct-2021-stratifiedkfolds", "kernel_id": "20921497"}, {"ref": "Oldmonk3030/nn-tensorflow-tpu-baseline", "kernel_id": "20924635"}, {"ref": "nancysamuel/basic-xgboost-lightgbm-and-catboost-models", "kernel_id": "20936274"}, {"ref": "mustafacicek/tps-10-21-eda", "kernel_id": "20933056"}, {"ref": "kalilurrahman/tps-oct-2021-eda-and-analysis", "kernel_id": "20919662"}, {"ref": "yamahisa/simple-eda-and-randomforest", "kernel_id": "20989315"}, {"ref": "yamahisa/eda-in-progress", "kernel_id": "20951750"}, {"ref": "lonnieqin/tps-prediction-with-dnn-and-kerastuner-oct-2021", "kernel_id": "20943400"}, {"ref": "lonnieqin/catboost-tabular-prediction-oct-2021", "kernel_id": "20933998"}, {"ref": "lonnieqin/tps-10-21-dnn", "kernel_id": "20998024"}, {"ref": "ishandutta/v5-tps-oct-eda-understanding-model-w-b", "kernel_id": "20922552"}, {"ref": "ranjeetshrivastav/tps-nov-21-eda-catboost", "kernel_id": "20924474"}, {"ref": "vinayakshanawad/tps-oct-2021-eda-no-model-for-now", "kernel_id": "20931158"}, {"ref": "towhidultonmoy/eda-tabular-playground-series-oct-21", "kernel_id": "20920440"}, {"ref": "mlanhenke/tps-10-single-lgbm-model", "kernel_id": "20926831"}, {"ref": "mlanhenke/tps-10-lgbm-onemodel-threeseeds-blend", "kernel_id": "20973245"}, {"ref": "mlanhenke/tps-10-basic-eda-spot-check-xgb-lgbm-catb", "kernel_id": "20921333"}, {"ref": "azzamradman/tps-10-single-catboost-optimization", "kernel_id": "20922342"}, {"ref": "azzamradman/tps-10-single-xgboost", "kernel_id": "20928327"}, {"ref": "azzamradman/tps-10-stacking-mlp-xgb-cb-lgbm", "kernel_id": "20928997"}, {"ref": "tracyporter/oct-21-tabular-pytorch-selectkbest", "kernel_id": "20938922"}, {"ref": "tracyporter/oct-21-tabular-selectkbest", "kernel_id": "20937591"}, {"ref": "venkatkumar001/tps-lightautoml", "kernel_id": "20977465"}, {"ref": "amiteshgangrade/downcasting-data", "kernel_id": "20924206"}, {"ref": "kavehshahhosseini/tps-oct-2021-pca-and-kmeans-feature-eng", "kernel_id": "20929606"}, {"ref": "kavehshahhosseini/tps-oct-2021-xgboost-and-shap-values", "kernel_id": "20952238"}, {"ref": "desalegngeb/october-tps-eda-models", "kernel_id": "20916474"}, {"ref": "aaronds/tps-oct2021", "kernel_id": "20952529"}, {"ref": "mohammadkashifunique/tsp-oct-eda-autoviz-histgradientboost", "kernel_id": "20922431"}, {"ref": "mohammadkashifunique/flaml-fast-light-auto-ml", "kernel_id": "20936132"}, {"ref": "mohammadkashifunique/tsp-single-xgboost-model", "kernel_id": "20973201"}, {"ref": "mohammadkashifunique/tps-oct-xgboost-optuna-featureeng", "kernel_id": "20962060"}, {"ref": "mohammadkashifunique/tps-single-catboost-model", "kernel_id": "20994443"}, {"ref": "ankitkalauni/noob-stacking-0-85654", "kernel_id": "20986658"}, {"ref": "mhslearner/tps-oct-eda-tabnet", "kernel_id": "20919530"}, {"ref": "adamwurdits/15-lgbms-trained-on-20-seeds-dataset-included", "kernel_id": "20998760"}, {"ref": "kelizatoh/oct-2021-tabular-playground-tabularautoml", "kernel_id": "20963369"}, {"ref": "kelizatoh/oct-2021-tabular-playground-lightautoml", "kernel_id": "20993660"}, {"ref": "shilpagoel/kfold-lgbm-catb-xgb-85-5-accuracy", "kernel_id": "20925094"}, {"ref": "jeongbinpark/tps-oct-for-command-tip-in-pandas", "kernel_id": "20967056"}, {"ref": "luongduongminh/tps-oct-21-cat", "kernel_id": "20927694"}, {"ref": "dlaststark/tps-1021-la-dee-da", "kernel_id": "20923787"}, {"ref": "dlaststark/tps-1021-lightgbm-with-twist", "kernel_id": "20961830"}, {"ref": "dlaststark/tps-1021-xgboost-with-twist", "kernel_id": "20963453"}, {"ref": "muhammadwaqargul/84-test-acc-with-simple-ann", "kernel_id": "20993258"}, {"ref": "ibuki39/tps10-2021-simplestarter-by-beginner-0-76349", "kernel_id": "20920356"}, {"ref": "sankalpsrivastava26/tps-oct-21-tensorflow-approach-gpu-0-85207-score", "kernel_id": "20932595"}, {"ref": "vamsikrishnab/tps-oct-cnn", "kernel_id": "20950428"}, {"ref": "johncenadon/xgboost-optuna-mpetition", "kernel_id": "20934726"}, {"ref": "gabtex/optuna-tuning-and-feature-exclusion", "kernel_id": "20989345"}, {"ref": "maximkazantsev/tps-10-21-eda-lightgbm-optuna", "kernel_id": "20922480"}, {"ref": "maximkazantsev/tps-10-21-eda-catboost-optuna", "kernel_id": "20925724"}, {"ref": "maximkazantsev/tps-10-21-eda-xgboost-optuna", "kernel_id": "20943862"}, {"ref": "maxdiazbattan/tps-2021-feature-sel-eng-early-stage", "kernel_id": "20994298"}, {"ref": "maxdiazbattan/tps-2021-kfold-oom-solution", "kernel_id": "20525415"}, {"ref": "tariqchhussain/xgboost-optuna-tps-oct-21", "kernel_id": "20929600"}, {"ref": "limyikeen/very-basic-ml-competition", "kernel_id": "20941165"}, {"ref": "edwardjiwookkim/eda-tps-oct-2021", "kernel_id": "20919353"}, {"ref": "aditya01233/notebookc5dd760ec6", "kernel_id": "20985236"}, {"ref": "rahiegadekar/a-beginner-s-approach", "kernel_id": "20931578"}, {"ref": "colt2brbr/tabularplaygrond-oct-2021-randomforest-base", "kernel_id": "20959337"}, {"ref": "hamidrezabakhtaki/tabular-oct-2021-xgboost-optuna", "kernel_id": "20983435"}, {"ref": "hrshuvo/tps-oct-21-xgbm-kfold", "kernel_id": "20926397"}, {"ref": "hrshuvo/tps-1021-xgboost", "kernel_id": "20962611"}, {"ref": "bishlar/notebook320b4b4cc6", "kernel_id": "20972521"}, {"ref": "truongdang1311/tabular-automl", "kernel_id": "20978931"}, {"ref": "brbarasulpis/tps-2021-oct-simple-ligtgbm-classif", "kernel_id": "20935280"}, {"ref": "adityastark07/anyone-can-learn-from-this-nb-score-0-8505", "kernel_id": "20922057"}, {"ref": "adityastark07/lightbgm-anyone-can-understand", "kernel_id": "20942366"}, {"ref": "pranaysawant17/oct-klib", "kernel_id": "20923501"}, {"ref": "edrickkesuma/explanatory-votingclassifier-power-averaging", "kernel_id": "20960967"}, {"ref": "rhythmcam/automatic-eda-tool-d-tale-tab-oct-2021", "kernel_id": "20943473"}, {"ref": "rhythmcam/automl-pycaret-tps-oct-2021", "kernel_id": "20922413"}, {"ref": "rhythmcam/rapids-cudf-xgboost-titanic-prediction", "kernel_id": "20974433"}, {"ref": "leekslim/playground", "kernel_id": "20940685"}, {"ref": "nitinrajput47/eda-of-the-month-oct", "kernel_id": "20938052"}, {"ref": "mahditavakol/oct21-lightgbm", "kernel_id": "20964833"}, {"ref": "mahditavakol/neuralnetworks-ensemble", "kernel_id": "20966113"}, {"ref": "mahditavakol/oct21-neuralnetwork", "kernel_id": "20953424"}, {"ref": "mahditavakol/oct21-catboost", "kernel_id": "20997128"}, {"ref": "junhyeok99/pycaret-baseline-for-beginner", "kernel_id": "20926303"}, {"ref": "junhyeok99/stacking-ensemble-tutorial", "kernel_id": "20926765"}, {"ref": "christoforum/lightgbm-randomizedsearchcv", "kernel_id": "20949334"}, {"ref": "christoforum/preparing-datasets", "kernel_id": "20938927"}, {"ref": "shivansh002/october-madness", "kernel_id": "20920679"}, {"ref": "pradeepchandrasuyal/feature-selection-with-lightgbm", "kernel_id": "20951703"}, {"ref": "pradeepchandrasuyal/feature-selection-using-anova-kfold", "kernel_id": "20992780"}, {"ref": "seikimaiihuang/practice-tps-10-2021-logisticregression", "kernel_id": "20980032"}, {"ref": "boneacrabonjac/stratified-k-folds-tps-oct-21", "kernel_id": "20969497"}, {"ref": "boneacrabonjac/tps-oct-21-xgbclassifier-with-optuna", "kernel_id": "20969944"}, {"ref": "nesterenkomarina/pseudo-label-tps1021-cnn-tensorflow", "kernel_id": "20963262"}, {"ref": "nesterenkomarina/pretrained-tps1021-cnn-new-features-reduce-memory", "kernel_id": "20984241"}, {"ref": "khule28/single-catboost-tps-oct", "kernel_id": "20929746"}, {"ref": "kalaikumarr/reduce-the-dataset-size-by-76-9", "kernel_id": "20928053"}, {"ref": "kalaikumarr/tps-oct-21-22-models-comparision", "kernel_id": "20925920"}, {"ref": "mfedeli/tabular-playground-oct-2021", "kernel_id": "20968972"}, {"ref": "takahiroyoshida012/tps-oct-2021-single-lgbm-kfold", "kernel_id": "20922447"}, {"ref": "takahiroyoshida012/eda-lightgbm-hyperparameter-tuning-with-optuna", "kernel_id": "20923462"}, {"ref": "takahiroyoshida012/ensembling-catboost-lgbm-kfold-tps-oct-2021", "kernel_id": "20928359"}, {"ref": "johnycoder/oct-xgb", "kernel_id": "20926901"}, {"ref": "joeywonpark/practice-eda-lgbmtps-oct", "kernel_id": "20940239"}, {"ref": "abhishek/autoxgb-tps-oct-21", "kernel_id": "21615157"}, {"ref": "drag88/october-playground-series-v2", "kernel_id": "21494237"}, {"ref": "datajmcn/xgb-baseline-oct21", "kernel_id": "21117720"}, {"ref": "aayush26/tps-oct-2021-simple-weighted-blending-ensemble", "kernel_id": "21363671"}, {"ref": "aayush26/tps-oct-2021-ensemble-stacking-101-w-oof", "kernel_id": "21469040"}, {"ref": "aayush26/tps-oct-2021-lgbm-301-w-oof", "kernel_id": "21454318"}, {"ref": "aayush26/tps-oct-2021-xgboost-301-w-oof", "kernel_id": "21449604"}, {"ref": "aayush26/tps-oct-2021-catboost-301-w-oof", "kernel_id": "21205302"}, {"ref": "lilkaskitc/tps-oct-2021-nn-lv1", "kernel_id": "21306273"}, {"ref": "lilkaskitc/tps-oct-2021-keras-tuner-nn-lv1", "kernel_id": "21227159"}, {"ref": "lilkaskitc/tps-oct-2021-lgb", "kernel_id": "21090010"}, {"ref": "rumasinha/featureselectionrandomforestcpuandgpu", "kernel_id": "21105248"}, {"ref": "rumasinha/featureselectionwithselectkbestandxgboost", "kernel_id": "21217953"}, {"ref": "nitishraj/tabular-playground-oct21", "kernel_id": "21448120"}, {"ref": "nitishraj/tabular-playground-nov21-nn-with-keras", "kernel_id": "21681224"}, {"ref": "stevenrferrer/tps-oct-2021-blending-lgbm-xgb-cb-hgb-vote", "kernel_id": "21445579"}, {"ref": "stevenrferrer/tps-oct-2021-baseline-lgbm-xgb-cb", "kernel_id": "21292591"}, {"ref": "stevenrferrer/tps-october-2021-lightgbm-base-model", "kernel_id": "21275491"}, {"ref": "stevenrferrer/tps-oct-2021-baseline-adaboost-histgb", "kernel_id": "21357816"}, {"ref": "stevenrferrer/tps-oct-2021-voting-lgbm-xgb-cb-hgb", "kernel_id": "21344617"}, {"ref": "stevenrferrer/tps-october-2021-trying-eda", "kernel_id": "21167029"}, {"ref": "stevenrferrer/tps-october-2021-stratified-kfolds", "kernel_id": "21033974"}, {"ref": "stevenrferrer/tps-oct-2021-pinoy-blends", "kernel_id": "21561177"}, {"ref": "eeeaaa/xgboost-hyperparams-optimisation-with-optuna", "kernel_id": "21019817"}, {"ref": "stevesimons/tps-21-10-single-stochastic-gradient-descent-model", "kernel_id": "21229950"}, {"ref": "davidcoxon/20-model-comparison-oct-tabular-playground", "kernel_id": "21046912"}, {"ref": "davidcoxon/boosted-stacking-ensemble-model-comparison", "kernel_id": "21413617"}, {"ref": "peressim/tabular-playground-series-oct-2021-baseline-models", "kernel_id": "21014839"}, {"ref": "ottpocket/november-muddling-label-regularization", "kernel_id": "21694608"}, {"ref": "raahulsaxena/tps-oct-21-understand-random-forest-parameters", "kernel_id": "21197198"}, {"ref": "raahulsaxena/tps-oct-21-basic-experiments-with-stacking", "kernel_id": "21075221"}, {"ref": "raahulsaxena/tps-oct-21-introduction-to-blending-the-best", "kernel_id": "21005347"}, {"ref": "adizafar/feature-selection-using-genetic-algorithm", "kernel_id": "21195447"}, {"ref": "adizafar/xgboost-parameter-tuning-bayesian-optimization", "kernel_id": "21249438"}, {"ref": "adizafar/feature-importance-via-random-forest", "kernel_id": "21254388"}, {"ref": "joecooper/tps-oct-joes-sandpit", "kernel_id": "21370301"}, {"ref": "joecooper/tps-single-lightgbm-model", "kernel_id": "21531549"}, {"ref": "joecooper/experiment-with-kmeans", "kernel_id": "21502597"}, {"ref": "joecooper/tsp-oct-21-head-on-catboost", "kernel_id": "21466686"}, {"ref": "joecooper/target-encoding", "kernel_id": "21455120"}, {"ref": "joecooper/tsp-single-xgboost-model", "kernel_id": "21115337"}, {"ref": "dwoodlock/tps-oct2021-don", "kernel_id": "21140043"}, {"ref": "shenurisumanasekara/tabular-october-catboost", "kernel_id": "21181365"}, {"ref": "shenurisumanasekara/tabular-october-xgbclassifier-stepbystep", "kernel_id": "21215475"}, {"ref": "jameshuang890902/load-large-datas-and-numerical-conversion-attempts", "kernel_id": "21109986"}, {"ref": "pinstripezebra/xgboost-ensemble-approach", "kernel_id": "21436312"}, {"ref": "smiles28/tps10-let-the-tensors-flow", "kernel_id": "21089018"}, {"ref": "smiles28/elasticnet-stack", "kernel_id": "21015319"}, {"ref": "omarvivas/lgbm-tpsoct-v2", "kernel_id": "21452814"}, {"ref": "omarvivas/lgbm-tpsoct-v1", "kernel_id": "21450277"}, {"ref": "ayhampar/simple-function-to-find-missing-values", "kernel_id": "21289330"}, {"ref": "sgiuri/oct21tp-feathercreator", "kernel_id": "21535006"}, {"ref": "sgiuri/oct21tp-lgbm-ctb-stacking", "kernel_id": "21395335"}, {"ref": "ted0071/tps-oct-2021", "kernel_id": "21041708"}, {"ref": "mmellinger66/tps-oct-2021-stacking", "kernel_id": "21631794"}, {"ref": "mmellinger66/tps-oct-21-the-melling-blend-of-5", "kernel_id": "21543199"}, {"ref": "rsizem2/tps-10-21-tensorflow-decision-forests-benchmarks", "kernel_id": "21127190"}, {"ref": "rsizem2/tps-10-21-xgboost-optuna-starter-w-pruning", "kernel_id": "21065477"}, {"ref": "rsizem2/tps-10-21-adversarial-validation", "kernel_id": "21040413"}, {"ref": "rsizem2/tps-10-21-catboost-optuna-starter-w-pruning", "kernel_id": "21451580"}, {"ref": "tanmaymane18/5-folds-ensemble-with-differential-evolution", "kernel_id": "21433676"}, {"ref": "humvale/tps-oct-2021-lgmbc-with-randomized-search", "kernel_id": "21220937"}, {"ref": "zhangcheche/tps-10-blending", "kernel_id": "21414849"}, {"ref": "zhangcheche/tps-10-eda-model-train", "kernel_id": "21359636"}, {"ref": "zhangcheche/tps-oct-cnn", "kernel_id": "21143196"}, {"ref": "zhangcheche/tabular-oct-xgboost-optuna", "kernel_id": "21089406"}, {"ref": "legendsoul/creating-folds-stratifiedkfolds", "kernel_id": "21059798"}, {"ref": "harshjhunjhunwala/xgbm-histgbm-featureengineering-gridsearch", "kernel_id": "21329988"}, {"ref": "harshjhunjhunwala/starter-guide-to-trees-boosting-and-bagging", "kernel_id": "21577800"}, {"ref": "abhijitd16/lgbm-optuna-stratkfold", "kernel_id": "21279030"}, {"ref": "pavan9065/tps-stacking-ensemble-october", "kernel_id": "21033811"}, {"ref": "undersc0re/tps-oct-2021-eda-creating-fold", "kernel_id": "21007949"}, {"ref": "akmeghdad/how-to-use-abp-dataset", "kernel_id": "21145081"}, {"ref": "akmeghdad/how-to-134-faster-55-less-memory-with-pandas", "kernel_id": "21240933"}, {"ref": "hadeux/kor-eng-simple-light-gbm-model", "kernel_id": "21548355"}, {"ref": "alxbkr/flaml-quick-low-effort-automl-solution", "kernel_id": "21394047"}, {"ref": "vitalyleontev/tps10-21-lightautoml", "kernel_id": "21106626"}, {"ref": "milenasokol/kaggle-oct-playground-competition", "kernel_id": "21574489"}, {"ref": "saraswatitiwari/tabular-playground-series-oct-2021", "kernel_id": "21610403"}, {"ref": "carlmcbrideellis/h2o-ai-gradient-boosting-classifier", "kernel_id": "21077175"}, {"ref": "fusioncenter/skip-connection-neural-network-architecture", "kernel_id": "21092119"}, {"ref": "yogeshkaushik/tsp-oct2021-eda", "kernel_id": "21159418"}, {"ref": "mehrankazeminia/1-tps-oct-21-lgbm-auc-evaluation", "kernel_id": "21397455"}, {"ref": "pallavisinha12/october-playground-series", "kernel_id": "21307329"}, {"ref": "jeonghyunko/my1stpractice", "kernel_id": "21540037"}, {"ref": "egorovalexeyd/tps-october-simple-lgbm-parameters-tuning-example", "kernel_id": "21639266"}, {"ref": "bextuychiev/model-explainability-with-shap-only-guide-u-need", "kernel_id": "21050276"}, {"ref": "bextuychiev/how-to-touch-into-heart-of-matplotlib-a-create", "kernel_id": "21143773"}, {"ref": "bextuychiev/25-numpy-functions-you-never-knew-existed", "kernel_id": "21336444"}, {"ref": "towhidultonmoy/tps-oct-21-automatic-eda-autoviz", "kernel_id": "21259682"}, {"ref": "madhurigollakota/playgroundseriesoct", "kernel_id": "21258924"}, {"ref": "hakanerdogan/tps-oct-2021-simple-code", "kernel_id": "21295387"}, {"ref": "lordozvlad/fast-automl-with-intel-extension-for-scikit-learn", "kernel_id": "21232064"}, {"ref": "mitsuihayato/tps-oct-tabnet-load", "kernel_id": "21305331"}, {"ref": "mikhailkuzmenkov/ensemble-top-25", "kernel_id": "21134905"}, {"ref": "mikhailkuzmenkov/brief-catboost-with-randomized-parameters-search", "kernel_id": "21100024"}, {"ref": "venkatkumar001/plsregression", "kernel_id": "21080452"}, {"ref": "kavehshahhosseini/tps-oct-2021-multi-input-neural-network", "kernel_id": "21211105"}, {"ref": "kavehshahhosseini/tps-oct-2021-classic-feature-importance", "kernel_id": "21409810"}, {"ref": "manthanbhagat/tps-oct-auto-eda-using-dataprep", "kernel_id": "21031821"}, {"ref": "pruthvi1009/xgboost-basic-predicton", "kernel_id": "21316419"}, {"ref": "bibhabasumohapatra/vanilla-random-forest-with-kfolds", "kernel_id": "21017748"}, {"ref": "bibhabasumohapatra/xgboost-kfolds-october-playground", "kernel_id": "21017185"}, {"ref": "bibhabasumohapatra/october-playground-with-lgbclassifier", "kernel_id": "21015881"}, {"ref": "mohammadkashifunique/tps-single-lightgbm-model", "kernel_id": "21035725"}, {"ref": "mohammadkashifunique/tps-single-histgradientboosting-model", "kernel_id": "21038684"}, {"ref": "mohammadkashifunique/single-xgboost-model-featureengineering", "kernel_id": "21440966"}, {"ref": "pradipkumardas/tps-oct-21-compression-xgb-parameters-tuning-ipynb", "kernel_id": "21220548"}, {"ref": "ankitkalauni/tps-21-oct-single-histgbm-0-85651", "kernel_id": "21093747"}, {"ref": "muhammadsabih56/tps-oct-feature-selection-comparative-analysis", "kernel_id": "21304759"}, {"ref": "semihuslu/tps-oct2021-catboost", "kernel_id": "21327844"}, {"ref": "crismolav/tps-oct-2021-pca-logistic-reg", "kernel_id": "21060890"}, {"ref": "farizhaykal/tps-oct-2021-eda-lightgbm-randomizedsearchcv", "kernel_id": "21049549"}, {"ref": "kingxl/octpgfinal", "kernel_id": "21803610"}, {"ref": "sergeilepitko/tps-oct-2021-eda", "kernel_id": "21522550"}, {"ref": "loycelorenzo/tabular-playground-series-oct-2021", "kernel_id": "21231475"}, {"ref": "smita09/simple-logistic-regression-83-8", "kernel_id": "21594253"}, {"ref": "jeongbinpark/tps-oct-autokeras", "kernel_id": "21158327"}, {"ref": "tomods/tabular-playground-oct-2021", "kernel_id": "21010787"}, {"ref": "pourchot/neural-network-2-inputs-numerical-categorical", "kernel_id": "21015234"}, {"ref": "joanyeo/tps-oct-lgbm", "kernel_id": "21536260"}, {"ref": "joanyeo/tps-oct-2021-eda", "kernel_id": "21228509"}, {"ref": "sudipg411/data-exploration", "kernel_id": "21111210"}, {"ref": "salama4ai/salama4ai-tabular-playground-series-oct-2021", "kernel_id": "21654432"}, {"ref": "rohitkumaryadav45/tsp-october-155th-position", "kernel_id": "21544590"}, {"ref": "mahnoorrana/tps-data", "kernel_id": "21120505"}, {"ref": "jaysrivastav/single-xgb-without-anything-fancy-tps-oct-21", "kernel_id": "21159664"}, {"ref": "sankalpsrivastava26/tps09-21-training-with-autogluon", "kernel_id": "21056168"}, {"ref": "bennyfung/feature-selection-lightgbm", "kernel_id": "21015545"}, {"ref": "vamsikrishnab/exploring-submissions-and-power-averaging", "kernel_id": "21159225"}, {"ref": "ameerhamza319/oct-tps-eda-kfold-catboost-score-0-85540", "kernel_id": "21009794"}, {"ref": "timothydhong/october-2021-playground-log-regression", "kernel_id": "21044954"}, {"ref": "maxdiazbattan/tps-2021-adversarial-validation", "kernel_id": "21161684"}, {"ref": "eugenebee/tsp-oct-21-single-catboost-skf-rs", "kernel_id": "21444641"}, {"ref": "aditya01233/catboost-finetuning-optuna", "kernel_id": "21559922"}, {"ref": "aditya01233/stacking-lgbm-catboost-xgboost", "kernel_id": "21565500"}, {"ref": "aditya01233/stacking-xgboost-lgbm", "kernel_id": "21341430"}, {"ref": "aditya01233/xgboost-finetuning-using-optuna", "kernel_id": "21337283"}, {"ref": "aditya01233/lgbm-optuna-finetuning", "kernel_id": "21337483"}, {"ref": "aditya01233/fine-tuning-lgbm-using-optuna", "kernel_id": "21049502"}, {"ref": "aditya01233/xgboost-finetuning", "kernel_id": "21036813"}, {"ref": "aditya01233/ensembling-lgbm-amd-xgboost", "kernel_id": "21206411"}, {"ref": "juliorsleite/xgboost-randomizedsearchcv-tps-10-21", "kernel_id": "21489118"}, {"ref": "juliorsleite/tps-10-21-xgboost-bayessearchcvii", "kernel_id": "21486727"}, {"ref": "juliorsleite/tps-10-21-simplexgboost-randomizedsearchcv", "kernel_id": "21034292"}, {"ref": "juliorsleite/tps-10-21-xgboost-bayessearchcv", "kernel_id": "21084491"}, {"ref": "yukiyamamoto/lightgbm-baseline", "kernel_id": "21076183"}, {"ref": "radkin17/tpoct21-xgboost", "kernel_id": "21469385"}, {"ref": "rahiegadekar/a-beginners-approach-worst-model", "kernel_id": "21051426"}, {"ref": "colt2brbr/tabular-playground-series-oct-2021-lightlgb", "kernel_id": "21090006"}, {"ref": "gunjangrunge/tps-1021-xgboost-with-twist-revised", "kernel_id": "21083347"}, {"ref": "markct/tps-202110", "kernel_id": "21059264"}, {"ref": "raj401/simple-clean-eda-tps-oct", "kernel_id": "21057275"}, {"ref": "harshalbhamare/tpc-0ct2021", "kernel_id": "21162662"}, {"ref": "brbarasulpis/tps-2021-nov-exploratory-data-analysis-eda", "kernel_id": "21674169"}, {"ref": "brbarasulpis/tps-2021-oct-exploratory-data-analysis-eda", "kernel_id": "21065965"}, {"ref": "brbarasulpis/tps-2021-oct-automl-lazypredict-lazyregressor", "kernel_id": "21165067"}, {"ref": "brbarasulpis/tps-2021-oct-automl-lazypredict-lazyclassifier", "kernel_id": "21152746"}, {"ref": "brbarasulpis/tps-2021-oct-catboost", "kernel_id": "21129417"}, {"ref": "houzhinan/tps-my-conclusion", "kernel_id": "21074321"}, {"ref": "adityastark07/basic-ensemble-of-public-nb", "kernel_id": "21133862"}, {"ref": "rhythmcam/h2o-automl-tps-oct-2021", "kernel_id": "21044674"}, {"ref": "rhythmcam/memory-issue-check-reduce-garbage-collect", "kernel_id": "21111331"}, {"ref": "rhythmcam/tps-10-21-auto-pipeline-prediction", "kernel_id": "21110246"}, {"ref": "rhythmcam/tps-10-21-auto-pipeline-randomforest", "kernel_id": "21114752"}, {"ref": "rhythmcam/tps-10-21-lightgbm-pycaret-kfold", "kernel_id": "21481649"}, {"ref": "rhythmcam/tps-10-21-lightgbm-pycaret", "kernel_id": "21473110"}, {"ref": "adityasharma01/tps-october-by-aditya", "kernel_id": "21641345"}, {"ref": "adityasharma01/tps-single-xgboost-model", "kernel_id": "21468533"}, {"ref": "mahditavakol/oct21-kerastuner", "kernel_id": "21095591"}, {"ref": "rizkykiky/xgboost-hyper-params", "kernel_id": "21613127"}, {"ref": "junhyeok99/simple-lstm-gru-tensorflow", "kernel_id": "21120315"}, {"ref": "robinbaldeo/stacked-catboost-gbdt-and-goss", "kernel_id": "21243408"}, {"ref": "bentorchakarim/feature-selection-using-boundary-decision-shape", "kernel_id": "21137078"}, {"ref": "dominikbietsch/predict-w-data-subset-rfc-randomized-gridsearch", "kernel_id": "21259434"}, {"ref": "olehmezhenskyi/eda-blend-of-linear-lgbm-mars-tidymodels", "kernel_id": "21140444"}, {"ref": "athirapisharody/notebook056593e11e", "kernel_id": "21667419"}, {"ref": "yaswanthgali/create-folds", "kernel_id": "21036517"}, {"ref": "m1y7k8/tps-oct-thert21-eda-importances-features", "kernel_id": "21303760"}, {"ref": "m1y7k8/tps-oct-21-lgb-fixed", "kernel_id": "21097222"}, {"ref": "sonicaprasad/tabular-playground-series", "kernel_id": "21147572"}, {"ref": "vishalmishra1400/tps-oct-xgboost", "kernel_id": "21253427"}, {"ref": "vishalmishra1400/tps-oct-lightgbm-optuna", "kernel_id": "21254630"}, {"ref": "vishalmishra1400/tps-oct-lightgbm-single-model", "kernel_id": "21273228"}, {"ref": "rihann/eda-rf", "kernel_id": "21387002"}, {"ref": "sheshngupta/tabular-data-octber21", "kernel_id": "21066051"}, {"ref": "bkjhhbjhbjkhbjh/october-madness", "kernel_id": "21555073"}, {"ref": "danielbissell/tps-oct-lightgbm", "kernel_id": "21109095"}, {"ref": "motchan/tps-oct2021-last-submission-model", "kernel_id": "21591336"}, {"ref": "motchan/tps-oct-2021-4th-place-importantmodel-kmeans-nn", "kernel_id": "21634092"}, {"ref": "motchan/tps-oct-2021-kmeans", "kernel_id": "21294932"}, {"ref": "motchan/tps-oct-target-abs-correlation-coefficient", "kernel_id": "21293835"}, {"ref": "belajuhasz/tabular-playground-series-oct-2021-bjuhasz", "kernel_id": "21545277"}, {"ref": "ntttdataeejswcement/notebooke462bf6f33", "kernel_id": "21593782"}, {"ref": "ntttdataeejswcement/tps-oct-2021-xgboost-cv-feature-engineering", "kernel_id": "21594568"}, {"ref": "ntttdataeejswcement/data-augmentation-ctgan", "kernel_id": "21595703"}, {"ref": "aayush26/tps-nov-2021-simple-weighted-blending-ensemble", "kernel_id": "22336356"}, {"ref": "rsesha/deep-auto-viml-on-tps-oct-2021", "kernel_id": "22751073"}, {"ref": "zhangcheche/tps-10-simple-xgboost-baseline", "kernel_id": "22595713"}, {"ref": "xholisilemantshongo/kudos-modeling-sales", "kernel_id": "23606550"}, {"ref": "pjbhaumik/regression-using-pycaret", "kernel_id": "24112471"}, {"ref": "raj401/simple-clean-eda-tps-feb", "kernel_id": "24386257"}, {"ref": "zacharyluscher/model-explainability-with-shap-only-guide-u-need", "kernel_id": "26757071"}, {"ref": "azzamradman/denoising-autoencoder-tutorial", "kernel_id": "30291184"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}]}
{"competition_id": "28011", "kernels": [{"ref": "ranjeetshrivastav/tps-nov-21-pycaret", "kernel_id": "18987663"}, {"ref": "subinium/all-you-need-is-pandas-benchmark-viz", "kernel_id": "19958866"}, {"ref": "alexryzhkov/fast-and-furious-lightautoml-starter", "kernel_id": "20937079"}, {"ref": "ranjeetshrivastav/tps-nov-21-eda-catboost", "kernel_id": "20924474"}, {"ref": "abhishek/autoxgb-nov-2021-tps", "kernel_id": "21683007"}, {"ref": "mt77pp/mljar-automl-tps-nov-21", "kernel_id": "21678233"}, {"ref": "mathurinache/adversarial-nov-automl", "kernel_id": "21991578"}, {"ref": "mathurinache/mljar-automl-nov-2021", "kernel_id": "21680379"}, {"ref": "mathurinache/autogluon-automl-nov-2021", "kernel_id": "21680421"}, {"ref": "mathurinache/flaml-automl-nov-2021", "kernel_id": "21680496"}, {"ref": "mathurinache/autoxgb-automl-nov-2021", "kernel_id": "21680532"}, {"ref": "mathurinache/lightautoml-nov-2021", "kernel_id": "21680612"}, {"ref": "mathurinache/evalml-automl-nov-2021", "kernel_id": "21680643"}, {"ref": "mathurinache/h2o-automl-nov-2021", "kernel_id": "21680690"}, {"ref": "alexryzhkov/lightautoml-november-21", "kernel_id": "21672090"}, {"ref": "lucamassaron/feature-selection-by-boruta-shap", "kernel_id": "21690965"}, {"ref": "lucamassaron/t-sne-and-umap-for-eda", "kernel_id": "21709683"}, {"ref": "lucamassaron/kerastuner-for-tps-11", "kernel_id": "21884816"}, {"ref": "lucamassaron/dnn-feature-importance", "kernel_id": "21811170"}, {"ref": "zenstat/beginner-logistic-knn-svm-xgb", "kernel_id": "21847593"}, {"ref": "rohanrao/automl-tutorial-tps-november-2021", "kernel_id": "21912755"}, {"ref": "motloch/nov-21-playing-around-with-k-fold-cv-xgboost", "kernel_id": "21833240"}, {"ref": "motloch/nov21-chunking", "kernel_id": "21913984"}, {"ref": "motloch/tps-nov11-grn-and-vsn", "kernel_id": "21925123"}, {"ref": "motloch/nov21-mislabeled-25", "kernel_id": "21737281"}, {"ref": "motloch/nov21-fluctuations", "kernel_id": "21785312"}, {"ref": "motloch/nov-21-watch-xgboost-classifier-learn", "kernel_id": "21724014"}, {"ref": "motloch/nov21-ensemble-public-models", "kernel_id": "21697704"}, {"ref": "motloch/nov21-use-logistic-to-correct-labels", "kernel_id": "21700356"}, {"ref": "motloch/nov-21-xgb-classifier", "kernel_id": "21672214"}, {"ref": "bcruise/tps-nov-2021-simple-keras-model", "kernel_id": "21685413"}, {"ref": "shubhodeepmoitra/tps-nov-autogluon", "kernel_id": "21713536"}, {"ref": "jsmithperera/lr-model", "kernel_id": "21696131"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-05-getting-started", "kernel_id": "21692404"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-06-xgboost", "kernel_id": "21693415"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-08-datatable", "kernel_id": "21703616"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-01-eda-dataprep", "kernel_id": "21673671"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-02-eda-sweetviz", "kernel_id": "21673735"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-03-eda-autoviz", "kernel_id": "21673783"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-04-eda-pandas-profiling", "kernel_id": "21673844"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-12-resampling-techniques", "kernel_id": "21927488"}, {"ref": "tunguz/tps-nov-2021-simple-linear-baseline", "kernel_id": "21859837"}, {"ref": "tunguz/tps-nov-2021-svm-baseline-2", "kernel_id": "21860377"}, {"ref": "aayush26/tps-nov-2021-ensemble-stacking-201-w-oof", "kernel_id": "21746837"}, {"ref": "aayush26/tps-nov-2021-keras-201-w-oof", "kernel_id": "21711137"}, {"ref": "aayush26/tps-nov-2021-autogluon-101-baseline", "kernel_id": "21695089"}, {"ref": "aayush26/tps-nov-2021-xgboost-301-w-oof", "kernel_id": "21694782"}, {"ref": "aayush26/tps-nov-2021-lgbm-301-w-oof", "kernel_id": "21694811"}, {"ref": "aayush26/tps-nov-2021-catboost-301-w-oof", "kernel_id": "21694839"}, {"ref": "aayush26/tps-nov-2021-eda-101", "kernel_id": "21680271"}, {"ref": "tqrahman/quick-dirty-baseline-with-tensorflow", "kernel_id": "21771834"}, {"ref": "rsesha/nov-tps-dnn-in-5-mins-0-7446-score", "kernel_id": "21917008"}, {"ref": "rumasinha/featureselectionanddiffmodelexperiments", "kernel_id": "21724058"}, {"ref": "tharunreddy/catboost-optimization-using-optuna", "kernel_id": "21765572"}, {"ref": "tharunreddy/xgboost-optuna-vanilla", "kernel_id": "21714627"}, {"ref": "tharunreddy/meta-model-with-xgb-lgbm-catboost", "kernel_id": "21885474"}, {"ref": "tharunreddy/5fold-data-split", "kernel_id": "21837215"}, {"ref": "nitishraj/tabular-playground-nov21-nn-with-keras", "kernel_id": "21681224"}, {"ref": "stevenrferrer/tps-nov-2021-baseline-xgbm-lgbm-cb-hgb", "kernel_id": "21674468"}, {"ref": "stevenrferrer/tps-nov-2021-baseline-non-boost", "kernel_id": "21686302"}, {"ref": "stevenrferrer/tps-nov-2021-baseline-blend-xgbm-lgbm-cb-hgb", "kernel_id": "21675649"}, {"ref": "shivarama/tps-nov-2021-xgboost-optuna-starter-101", "kernel_id": "21683769"}, {"ref": "shivarama/tps-nov-2021-autoxgb-3-step-solution", "kernel_id": "21702422"}, {"ref": "maulberto3/tps-nov2021-inspecting-labels-w-pca-and-k-means", "kernel_id": "21850783"}, {"ref": "rogeriodelfim/tps-nov-2021-02-feature-engenniring-shap", "kernel_id": "21701008"}, {"ref": "rogeriodelfim/tps-nov-2021-01-eda-baseline-xgb", "kernel_id": "21673638"}, {"ref": "puremath86/adversarial-train-test-similarity-tps-nov21", "kernel_id": "21749400"}, {"ref": "puremath86/reliefe-alg-m-feature-ranking-w-umap-tps-nov21", "kernel_id": "21749898"}, {"ref": "puremath86/label-correction-experiments-tps-nov-21", "kernel_id": "21787428"}, {"ref": "peressim/tabular-playground-series-nov-2021-eda", "kernel_id": "21975200"}, {"ref": "peressim/tabular-playground-series-nov-2021-baseline-models", "kernel_id": "21976069"}, {"ref": "ottpocket/november-muddling-label-regularization", "kernel_id": "21694608"}, {"ref": "raahulsaxena/tps-nov-21-extracting-the-power-of-naive-bayes", "kernel_id": "21870373"}, {"ref": "raahulsaxena/tps-nov-21-data-check-feature-analysis", "kernel_id": "21676346"}, {"ref": "rahullalu/tps-nov-2021-eda-and-baseline", "kernel_id": "21678540"}, {"ref": "kritidoneria/mljar-automl-tps-mar-22", "kernel_id": "21803277"}, {"ref": "ashishtop/tabular-nov2021-starter-lr", "kernel_id": "21847709"}, {"ref": "docxian/tabular-playground-11-first-glance-baselines", "kernel_id": "21756338"}, {"ref": "datascientistsohail/tps-nov2021-lgbm-hyperparametertuning", "kernel_id": "21774592"}, {"ref": "datascientistsohail/bayesian-optimization-with-gaussian-process-tps", "kernel_id": "21797425"}, {"ref": "adizafar/tps-nov-tabnet", "kernel_id": "21780082"}, {"ref": "adizafar/tps-nov-2021-eda-and-analysis", "kernel_id": "21676552"}, {"ref": "adizafar/tps-nov-xgboost", "kernel_id": "21681176"}, {"ref": "dienhoa/tabular-playgroud-fastai", "kernel_id": "21785573"}, {"ref": "revathiprakash/interpret-your-nn-model", "kernel_id": "21840497"}, {"ref": "nikhilkhetan/h20-automl-tps-nov", "kernel_id": "21682290"}, {"ref": "nikhilkhetan/tps-nov11-grn-and-vsn", "kernel_id": "21914030"}, {"ref": "vladlee/tabular-nov-21-lgbm", "kernel_id": "21749243"}, {"ref": "vladlee/tabular-nov-21-keras-simple", "kernel_id": "21773665"}, {"ref": "ymatioun/tps-nov2021-adversarial-validation", "kernel_id": "21805387"}, {"ref": "praveentn/simple-nn-with-custom-activation-function", "kernel_id": "21939931"}, {"ref": "craigmthomas/tps-nov-2021-detailed-eda-models", "kernel_id": "21675622"}, {"ref": "criskiev/game-over-or-eda-of-the-leaked-train-csv", "kernel_id": "21923662"}, {"ref": "justinvanzyl/sal-autogluon", "kernel_id": "21673062"}, {"ref": "pinstripezebra/tps-xgboost-approach", "kernel_id": "21810182"}, {"ref": "pinstripezebra/nn-xgboost-ensemble", "kernel_id": "21976106"}, {"ref": "j3rome/kaggle-nov21-r-tidymodels-logistic-regression", "kernel_id": "21827262"}, {"ref": "jaredsavage/tps-nov-21-keras-randomsearchcv-k-fold-pred", "kernel_id": "21757207"}, {"ref": "asimzahid/rapids-xgboost", "kernel_id": "21844736"}, {"ref": "chitwanmanchanda/tabular-playground-series-baseline", "kernel_id": "21694683"}, {"ref": "chitwanmanchanda/tps-ann-with-hyperparameter-tuning", "kernel_id": "21759126"}, {"ref": "chitwanmanchanda/tps-featureselection-extratreesclassifier", "kernel_id": "21770319"}, {"ref": "nancydrew/basic-eda-and-logistic-regression", "kernel_id": "21682024"}, {"ref": "saiful873/tpsnov2021-eda-prediction", "kernel_id": "21743151"}, {"ref": "kaaveland/private-vs-public-lb-score", "kernel_id": "21790038"}, {"ref": "kaaveland/tps-nov-2021-some-models-that-work-ok", "kernel_id": "21733762"}, {"ref": "kaaveland/grid-search-demo", "kernel_id": "21948251"}, {"ref": "kaaveland/tps-20211-chunks", "kernel_id": "21947896"}, {"ref": "jmcslk/tps-nov-21-dnn-cnn-model-extras", "kernel_id": "21961675"}, {"ref": "omarvivas/lgbm-tpsnov-v1", "kernel_id": "21672895"}, {"ref": "omarvivas/torch-tps-nov2021-v1", "kernel_id": "21673447"}, {"ref": "omarvivas/xgb-tps-nov21-v1", "kernel_id": "21746435"}, {"ref": "omarvivas/keras-tps-nov21-v1", "kernel_id": "21746825"}, {"ref": "omarvivas/cb-tpsnov-v1", "kernel_id": "21689751"}, {"ref": "ayhampar/0-73-score-predicting-value-using-pytorch", "kernel_id": "21758565"}, {"ref": "santhoshkumarv/logisticregression-from-scratch-0-74150", "kernel_id": "21689186"}, {"ref": "santhoshkumarv/xgboost-tps-nov-2021", "kernel_id": "21803573"}, {"ref": "santhoshkumarv/randomforest-tps-nov-21", "kernel_id": "21808306"}, {"ref": "kaushikholla/eda-feature-engineering-xgboost-baseline-model", "kernel_id": "21817434"}, {"ref": "stpeteishii/tps1121-data-histplot", "kernel_id": "21739380"}, {"ref": "stpeteishii/tps1121-lightgbm", "kernel_id": "21738997"}, {"ref": "sgiuri/oct21tp-feathercreator", "kernel_id": "21535006"}, {"ref": "toomuchsauce/automated-eda-a-brief-guide-5-packages", "kernel_id": "21886934"}, {"ref": "ted0071/tps-nov-2021-eda", "kernel_id": "21859004"}, {"ref": "solee328/tps-nov-21-randomforest-nn-ensemble-baseline", "kernel_id": "21930279"}, {"ref": "tigofat/kick-start-with-neural-nets", "kernel_id": "21713522"}, {"ref": "mmellinger66/tps-nov-21-eda-playground", "kernel_id": "21940861"}, {"ref": "mmellinger66/tps-nov-21-basic-xgboost-cv-oof", "kernel_id": "21673514"}, {"ref": "mmellinger66/tps-nov-21-keras-tuner", "kernel_id": "21719606"}, {"ref": "mmellinger66/functional-tensorflow-keras-starter-notebook", "kernel_id": "21711769"}, {"ref": "vivek468/tps-nov-auto-eda-to-the-rescue", "kernel_id": "21676095"}, {"ref": "vivek468/dl-part3-assumptions-inputs-and-hyperparameters", "kernel_id": "21885272"}, {"ref": "vivek468/dl-part2-perceptrons", "kernel_id": "21857054"}, {"ref": "vivek468/dl-part1-introduction-to-neural-network", "kernel_id": "21854421"}, {"ref": "rsizem2/tps-11-21-gradient-boosting-baselines-w-gpu", "kernel_id": "21741970"}, {"ref": "subinlab/tps-with-pytorch-simple", "kernel_id": "21981296"}, {"ref": "subinlab/tps-simlple-random-forest", "kernel_id": "21980741"}, {"ref": "zhangcheche/work-well-on-trainset-bad-on-testset", "kernel_id": "21868498"}, {"ref": "zhangcheche/tps-11-eda-model-train", "kernel_id": "21673756"}, {"ref": "legendsoul/tps-november-21-comprehensive-insight-of-eda", "kernel_id": "21679881"}, {"ref": "rayhanlahdji/tps-1121-naive-bayes-for-naive-souls", "kernel_id": "21688432"}, {"ref": "rayhanlahdji/tps-1121-lgbm-using-fast-light-automl", "kernel_id": "21715651"}, {"ref": "rayhanlahdji/tps-1121-importance-via-component-regression", "kernel_id": "21835415"}, {"ref": "rayhanlahdji/tps-1121-weaponize-our-sklearn-knowledge", "kernel_id": "21924460"}, {"ref": "rayhanlahdji/tps-1121-my-shot-at-svm-w-nystroem-transf-mation", "kernel_id": "21939477"}, {"ref": "harshjhunjhunwala/nov-21-eda-lightgbm", "kernel_id": "21676890"}, {"ref": "harshjhunjhunwala/starter-guide-to-trees-boosting-and-bagging", "kernel_id": "21577800"}, {"ref": "yutotom/logistic", "kernel_id": "21985255"}, {"ref": "anirudhg15/tps-nov-21-simple-baseline-w-autoxgb", "kernel_id": "21674104"}, {"ref": "ofirmazor/rainy-november-playground", "kernel_id": "21713824"}, {"ref": "bhuppi2898/tps-november-eda-easy-way", "kernel_id": "21682032"}, {"ref": "hamzaghanmi/make-it-simple", "kernel_id": "21676606"}, {"ref": "sogamja/2021-nov-playground-simple-models", "kernel_id": "21841896"}, {"ref": "akmeghdad/tps-1121-essential-personal-notes", "kernel_id": "21758032"}, {"ref": "hadeux/kor-eng-simple-xgboost-model", "kernel_id": "21780180"}, {"ref": "hadeux/tps-nov-xgboost-baseline", "kernel_id": "21821540"}, {"ref": "hadeux/tps-nov-dnn-baseline", "kernel_id": "21915313"}, {"ref": "hadeux/simple-ensemble", "kernel_id": "21950049"}, {"ref": "bibhash123/tps-denoising-autoencoder-tf-keras-starter", "kernel_id": "21703484"}, {"ref": "datastrophy/basic-eda-autoxgb-lgbm-no-tune", "kernel_id": "21677723"}, {"ref": "alxbkr/flaml-quick-low-effort-automl-solution-nov", "kernel_id": "21690146"}, {"ref": "saraswatitiwari/tabular-playground-series", "kernel_id": "21675750"}, {"ref": "lucasmorin/data-exploration-with-umap-hdbscan", "kernel_id": "21682242"}, {"ref": "carlmcbrideellis/tps-nov-2021-h2o-ai-gbm-model", "kernel_id": "21676076"}, {"ref": "carlmcbrideellis/some-pretty-t-sne-plots", "kernel_id": "21211894"}, {"ref": "merlinschaefer/tps-nov-21-different-non-nn-models", "kernel_id": "21987849"}, {"ref": "lukaszborecki/torch-embeddings", "kernel_id": "21677297"}, {"ref": "Oldmonk3030/quick-eda-tps-nov-2021", "kernel_id": "21676056"}, {"ref": "anishghiya/tps-nov-dtale-autoviz-h2o", "kernel_id": "21776058"}, {"ref": "gulshanmishra/tps-nov-21-lda-feature-logistic-regression", "kernel_id": "21683784"}, {"ref": "gulshanmishra/self-normalizing-neural-networks", "kernel_id": "21813526"}, {"ref": "antonellomartiello/tps11-tf-df-hybrid-model-nn-gb-calibration", "kernel_id": "21678979"}, {"ref": "frankmollard/feature-selection-tps-nov-21", "kernel_id": "21682337"}, {"ref": "nancysamuel/comparison-of-basic-models", "kernel_id": "21690806"}, {"ref": "kalilurrahman/tps-nov2021-automated-eda-ml", "kernel_id": "21675203"}, {"ref": "kalilurrahman/store-sales-eda-prediction-with-ts", "kernel_id": "21051812"}, {"ref": "lonnieqin/tps-11-21-conv2d", "kernel_id": "21761231"}, {"ref": "lonnieqin/tps-11-21-cnn-dnn", "kernel_id": "21763520"}, {"ref": "lonnieqin/tps-11-2021-catboost", "kernel_id": "21718736"}, {"ref": "lonnieqin/tps-11-21-dnn", "kernel_id": "21728410"}, {"ref": "egorovalexeyd/tps-november-0-74804-simple-keras-nn", "kernel_id": "21704813"}, {"ref": "egorovalexeyd/tps-november-lgbm-parameters-tuning-example", "kernel_id": "21682923"}, {"ref": "egorovalexeyd/tps-november-0-7461-ensemble-nn-lgbm-and-logreg", "kernel_id": "21742799"}, {"ref": "yjs007/basic-artificial-neural-network", "kernel_id": "21734936"}, {"ref": "ransakaravihara/tps-nov-2021-apply-different-transformations", "kernel_id": "21788130"}, {"ref": "ransakaravihara/trying-pytorch-cnn-just-for-fun", "kernel_id": "21841269"}, {"ref": "ahmetekiz/tps-nov-2021-starter-with-xgboost", "kernel_id": "21765533"}, {"ref": "ahmedaffan789/tabular-playground-series-beginners-eda-and-xgb", "kernel_id": "21838940"}, {"ref": "rmcabato/calibrate-a-robust-forest", "kernel_id": "21991762"}, {"ref": "rmcabato/a-brisk-29-model-comparison-using-lazy-predict", "kernel_id": "21751937"}, {"ref": "chaudharypriyanshu/understanding-neural-net", "kernel_id": "21674964"}, {"ref": "vijayshankar756/let-s-do-it", "kernel_id": "21687943"}, {"ref": "mlanhenke/tps-11-simple-basic-eda", "kernel_id": "21675683"}, {"ref": "mlanhenke/tps-11-nn-baseline-keras", "kernel_id": "21683745"}, {"ref": "gavisr/starter-notebook", "kernel_id": "21768194"}, {"ref": "hakanerdogan/tps-nov-2021-simple-code-with-catboost", "kernel_id": "21706784"}, {"ref": "ramonferreiracruz/tps-nov-2021-logistic-regression", "kernel_id": "21723820"}, {"ref": "ramonferreiracruz/tps-nov-2021-pycaret", "kernel_id": "21725958"}, {"ref": "lordozvlad/tps-nov-automl-with-intel-extension", "kernel_id": "21811337"}, {"ref": "lordozvlad/tps-nov-logistic-regression-with-pytorch", "kernel_id": "21802303"}, {"ref": "lordozvlad/fast-feature-importance-using-scikit-learn-intelex", "kernel_id": "21968755"}, {"ref": "tracyporter/nov-21-tabular-histgradboost", "kernel_id": "21692829"}, {"ref": "tracyporter/nov-21-tabular-com-lrcv", "kernel_id": "21689906"}, {"ref": "eduardogutierrez/tps-nov-21-exploratory-data-analysis-submission", "kernel_id": "21744032"}, {"ref": "venkatkumar001/tf-df-rfc-pls-tps-nov-21", "kernel_id": "21689071"}, {"ref": "venkatkumar001/tps-baseline-xgb-optuna-cat-lgbm", "kernel_id": "21688355"}, {"ref": "kavehshahhosseini/tps-nov-2021-pca-and-kmeans-feature-eng", "kernel_id": "21688325"}, {"ref": "kavehshahhosseini/tps-nov-2021-multi-input-neural-network", "kernel_id": "21683077"}, {"ref": "kavehshahhosseini/tps-nov-2021-shap-values-with-xgboost", "kernel_id": "21680852"}, {"ref": "seungbumlim/tps-nov-2021-simple-eda-lgbmclassifier-optuna", "kernel_id": "21704156"}, {"ref": "desalegngeb/november-tps-simple-eda-models", "kernel_id": "21677100"}, {"ref": "mikhailsavin/try-pytorch-with-weights-init", "kernel_id": "21811258"}, {"ref": "mikhailsavin/catboost-feature-selection-experiments", "kernel_id": "21888218"}, {"ref": "yusufmuhammedraji/pytorch-cv-earlystopping-lrscheduler", "kernel_id": "21736642"}, {"ref": "yusufmuhammedraji/pytorch-lightning-cv", "kernel_id": "21965371"}, {"ref": "mohammadkashifunique/tps-nov-complete-eda-model-prediction", "kernel_id": "21675847"}, {"ref": "mohammadkashifunique/tps-nov-logistic-regression-using-pytorch", "kernel_id": "21968496"}, {"ref": "mohammadkashifunique/tps-nov-single-catboost-optuna", "kernel_id": "21917729"}, {"ref": "mohammadkashifunique/tps-nov-simple-nn-pytorch", "kernel_id": "21879179"}, {"ref": "ankitkalauni/tps-nov-21-logistic-regression", "kernel_id": "21678000"}, {"ref": "ankitkalauni/beginner-understanding-on-dimension-reduction", "kernel_id": "21095658"}, {"ref": "yekahaaagayeham/tps-nov-21-spam-detection", "kernel_id": "21674889"}, {"ref": "muhammadsabih56/tps-nov-baseline-models-performance-linear-vs-tree", "kernel_id": "21682177"}, {"ref": "farizhaykal/tps-nov-2021-simple-ann", "kernel_id": "21673839"}, {"ref": "realtimshady/eda-feature-exploration", "kernel_id": "21673787"}, {"ref": "realtimshady/baseline-lbgm-optuna", "kernel_id": "21672812"}, {"ref": "realtimshady/nov-pretrained-nn", "kernel_id": "21734438"}, {"ref": "realtimshady/nov-baseline-mlp", "kernel_id": "21698893"}, {"ref": "realtimshady/nov-baseline-svc", "kernel_id": "21698587"}, {"ref": "realtimshady/nov-baseline-tabnet", "kernel_id": "21705710"}, {"ref": "realtimshady/nov-baseline-pretrain-tabnet", "kernel_id": "21702626"}, {"ref": "lazybuttryingfinal/xgb-bin-logistic-gblinear-lr0-61-kfold-scaler", "kernel_id": "21740055"}, {"ref": "mhslearner/tps-nov-eda-deeptables", "kernel_id": "21823038"}, {"ref": "sergeilepitko/tps-nov-2021-eda", "kernel_id": "21723281"}, {"ref": "loycelorenzo/tabular-playground-series-nov-2021", "kernel_id": "21838903"}, {"ref": "adamwurdits/tps-11-2021-quick-lightgbm-starter", "kernel_id": "21672717"}, {"ref": "smita09/simple-logistic-regression-0-745", "kernel_id": "21683526"}, {"ref": "arpitjjain/tabular-playground-series-nov-2021", "kernel_id": "21918160"}, {"ref": "baekseungyun/tps-nov-simple-eda-for-starters", "kernel_id": "21781131"}, {"ref": "jjung2019/tabular-playground-series-nov-2021-python", "kernel_id": "21676529"}, {"ref": "sisharaneranjana/model-fitting-with-quantile-transformation", "kernel_id": "21796959"}, {"ref": "sisharaneranjana/triumph-of-linear-models-with-sampling", "kernel_id": "21951825"}, {"ref": "lagsfinder/autoxgb-to-the-rescue-medium-perf-score-0-74031", "kernel_id": "21739311"}, {"ref": "tomods/tpsnov-eda-distributions", "kernel_id": "21722338"}, {"ref": "joanyeo/nov-tps-vsn-variable-selection-networks", "kernel_id": "21752667"}, {"ref": "sergiosaharovskiy/tps-nov-2021-a-complete-guide", "kernel_id": "21744944"}, {"ref": "sudipg411/eda-feature-engineering-xgboost-model", "kernel_id": "21955596"}, {"ref": "sudipg411/eda-xgboost-catboost-lgmb-feature-engineering", "kernel_id": "21980219"}, {"ref": "kartushovdanil/tps-nov21-4-begginers-rus-links", "kernel_id": "21875280"}, {"ref": "whitishlion/tabular-nov2021", "kernel_id": "21686760"}, {"ref": "sankalpsrivastava26/bayesian-optimization-lgboost-noise-elimination", "kernel_id": "21824435"}, {"ref": "sankalpsrivastava26/noise-reduction-with-tf-models", "kernel_id": "21819271"}, {"ref": "bennyfung/lgbm-beginner", "kernel_id": "21682665"}, {"ref": "vamsikrishnab/tps-nov-eda-and-catboost", "kernel_id": "21672424"}, {"ref": "vamsikrishnab/tps-nov-conv1d", "kernel_id": "21728061"}, {"ref": "daking97/simple-nn", "kernel_id": "21899028"}, {"ref": "kishalmandal/pytorch-series-part-1-dataset-and-dataloader", "kernel_id": "21707983"}, {"ref": "kishalmandal/pytorch-tps-dec-baseline", "kernel_id": "21709872"}, {"ref": "kishalmandal/fold-is-power", "kernel_id": "21696795"}, {"ref": "kishalmandal/kaggle-tps-part-1-feature-importances", "kernel_id": "21696740"}, {"ref": "maximkazantsev/tps-11-21-svm-ann-pytorch-lightning-lgbm", "kernel_id": "21754635"}, {"ref": "maximkazantsev/tps-11-21-linsvc-ann-tensorflow-keras-lgbm", "kernel_id": "21702863"}, {"ref": "maximkazantsev/tps-11-21-eda-xgboost-optuna", "kernel_id": "21680828"}, {"ref": "maximkazantsev/tps-11-21-eda-lightgbm-optuna", "kernel_id": "21676382"}, {"ref": "maxdiazbattan/tps-2021-feat-selection-engineering-ideas", "kernel_id": "21766000"}, {"ref": "maxdiazbattan/tps-2021-pytorch-lightning-dataparallel-2t4", "kernel_id": "21987884"}, {"ref": "tariqchhussain/xgboost-optuna-w-k-fold-cv-tps-nov-21", "kernel_id": "21708683"}, {"ref": "javiervallejos/simple-nn-with-good-results-tps-nov-21", "kernel_id": "21925308"}, {"ref": "aditya01233/ensembling-public-nb-nov-tps", "kernel_id": "21727390"}, {"ref": "juliorsleite/pipeline-randomizedsearchcv-xgboost-tpc-nov21", "kernel_id": "21678871"}, {"ref": "juliorsleite/randomizedsearchcv-xgboost-kmeans-pca-tpc-nov21", "kernel_id": "21780155"}, {"ref": "yukiyamamoto/lightgbm-baseline-without-preprocessing", "kernel_id": "21805659"}, {"ref": "thariqnugrohotomo/example-of-leaking-high-val-score-but-low-lb", "kernel_id": "21878894"}, {"ref": "rahiegadekar/tps-november-2021-a-beginners-approach", "kernel_id": "21703681"}, {"ref": "colt2brbr/tps-nov-data-analsys-lightlgb", "kernel_id": "21757524"}, {"ref": "gaganmaahi224/tps-nov-21-autoviz-simple-ann-for-beginners", "kernel_id": "21929031"}, {"ref": "bibhuprasad97/tabular-playground-series-nov-2021", "kernel_id": "21756981"}, {"ref": "kritchais/nov21-classification-logistic-regression", "kernel_id": "21794683"}, {"ref": "alexeykolobyanin/tps-nov-log-regression-with-sklearnex-17x-speedup", "kernel_id": "21878053"}, {"ref": "heliksmersenburg/reduce-outliers-in-line", "kernel_id": "21807575"}, {"ref": "brbarasulpis/tps-nov-2021-very-simple-reg-log", "kernel_id": "21697576"}, {"ref": "brbarasulpis/tps-2021-nov-automl-lazypredict-lazyclassifier", "kernel_id": "21692835"}, {"ref": "brbarasulpis/tps-2021-nov-exploratory-data-analysis-eda", "kernel_id": "21674169"}, {"ref": "amanb096/tabular-playground-pca-technique", "kernel_id": "21832185"}, {"ref": "satoshiss/spam-detection-tabular-playground-nov-2021", "kernel_id": "21947024"}, {"ref": "rhythmcam/tps-11-21-mljar-automl-minmaxscaler", "kernel_id": "21806657"}, {"ref": "rhythmcam/tps-11-21-mljar-automl-standardscaler", "kernel_id": "21798782"}, {"ref": "rhythmcam/h2o-automl-tps-nov-2021", "kernel_id": "21784305"}, {"ref": "rhythmcam/function-distribution-graph", "kernel_id": "21751755"}, {"ref": "rhythmcam/automatic-eda-tool-d-tale-tab-nov-2021", "kernel_id": "21751227"}, {"ref": "rhythmcam/tps-11-21-lightgbm-pycaret-kfold", "kernel_id": "21698174"}, {"ref": "rhythmcam/tps-11-21-mljar-automl-prediction", "kernel_id": "21675839"}, {"ref": "adityasharma01/tps-11-nn-baseline", "kernel_id": "21705962"}, {"ref": "adityasharma01/tps-nov-nn", "kernel_id": "21691758"}, {"ref": "adityasharma01/baddest-submission-by-myself-in-tps", "kernel_id": "21691607"}, {"ref": "adityasharma01/tps-simple-xgboost-attempt", "kernel_id": "21735330"}, {"ref": "adityasharma01/tps-nov-21-dnn-cnn-model-extras", "kernel_id": "21984633"}, {"ref": "adityasharma01/tps-1121-dnn-v4", "kernel_id": "21810560"}, {"ref": "mahditavakol/nov21-xgb-lgbm-cb", "kernel_id": "21995472"}, {"ref": "ahmedhaytham/nov22-0", "kernel_id": "21687353"}, {"ref": "markosthabit/tbs-november-naive-bayes", "kernel_id": "21694050"}, {"ref": "rizkykiky/tensorflow-k-folds-with-pca-and-kmeans", "kernel_id": "21818439"}, {"ref": "mingookkim/simple-easy-eda", "kernel_id": "21733854"}, {"ref": "mingookkim/simple-autogluon", "kernel_id": "21760159"}, {"ref": "shivampr21/pytorch-tps-nov-2021-simple-ann-classifier", "kernel_id": "21938739"}, {"ref": "shivampr21/feature-analysis-with-pca", "kernel_id": "21839922"}, {"ref": "shivansh002/lstm-lgbm-spammer", "kernel_id": "21726245"}, {"ref": "bentorchakarim/linearity-is-the-king-eda-feature-selection", "kernel_id": "21690790"}, {"ref": "nidhi1502/dealing-with-large-dataset", "kernel_id": "21852458"}, {"ref": "yaswanthgali/combining-3-models-for-prediction", "kernel_id": "21785818"}, {"ref": "ambrosm/tpsnov21-001-support-vector-classification", "kernel_id": "21676098"}, {"ref": "nesterenkomarina/tps1121-deep-net-tensorflow", "kernel_id": "21754046"}, {"ref": "mdzisun/tps-nov-auto-ml", "kernel_id": "21857239"}, {"ref": "kalaikumarr/weird-submission-but-scored-0-5", "kernel_id": "21691848"}, {"ref": "kalaikumarr/comparing-22-different-classification-models", "kernel_id": "21700416"}, {"ref": "kalaikumarr/tps-nov-simple-eda-with-detailed-summary", "kernel_id": "21672643"}, {"ref": "nafishamoin/tabular-playground-november-2021", "kernel_id": "21968511"}, {"ref": "nicholasvolpe/november-tps-logistic-regression-voting-ensemble", "kernel_id": "21748240"}, {"ref": "nicholasvolpe/november-tps-rf-baseline", "kernel_id": "21746102"}, {"ref": "mfedeli/tabular-playground-series-nov-2021", "kernel_id": "21680724"}, {"ref": "hyoungseocho/first-submission-randomforest-vs-dnn", "kernel_id": "21950391"}, {"ref": "yogeshkalauni/tps-nov-21-auto-xgboost-error", "kernel_id": "21680885"}, {"ref": "digitalcorp/data-exploration-with-umap-hdbscan", "kernel_id": "21736946"}, {"ref": "yuyougnchan/tps-nov-eda-logistic-regression", "kernel_id": "21950048"}, {"ref": "yuyougnchan/tps-nov-lightgbm-baseline", "kernel_id": "21931137"}, {"ref": "yuyougnchan/tps-nov-xgboost-baseline-kor-eng", "kernel_id": "21932302"}, {"ref": "bkjhhbjhbjkhbjh/tps-nov-2021-1-08-datatable", "kernel_id": "21741556"}, {"ref": "mayurdalvi/tabular-playground-series-simple-and-easy", "kernel_id": "21938596"}, {"ref": "makonori/tabular-nov2021-based-on-outlier-replace-keras", "kernel_id": "21800120"}, {"ref": "danielbissell/tps-nov-xgboost-baseline", "kernel_id": "21696586"}, {"ref": "motchan/tps-nov-2021-kmeans-method", "kernel_id": "21751899"}, {"ref": "motchan/tps-nov-2021-1to0-boxplot", "kernel_id": "21819178"}, {"ref": "lynnxy/nov-21-tps-eda-and-feature-selection", "kernel_id": "21677691"}, {"ref": "anushpoghosyan/tabular-data-modelling-xgboost-lightgbm-tabnet", "kernel_id": "21759375"}, {"ref": "batuhankoc97/notebookdc4acc310a", "kernel_id": "21792932"}, {"ref": "sfktrkl/tps-nov-2021", "kernel_id": "21996145"}, {"ref": "akhileshprasanna/notebookb2a1671547", "kernel_id": "21784481"}, {"ref": "teamwilliam/a-simple-keras-optuna-starter", "kernel_id": "21788508"}, {"ref": "lucamassaron/adversarial-validation-of-tps11", "kernel_id": "22341797"}, {"ref": "lucamassaron/adversarial-validation-of-label-inversions", "kernel_id": "22096833"}, {"ref": "motloch/nov21-flip-probability-between-chunks", "kernel_id": "22123986"}, {"ref": "jayjay75/tpsnov21-012c-leaderboard-probing", "kernel_id": "22452728"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-15-vaex", "kernel_id": "22091305"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-14-xgboost-linear", "kernel_id": "22025735"}, {"ref": "sugamkhetrapal/tps-nov-2021-1-16-dim-reduction", "kernel_id": "22178806"}, {"ref": "drag88/november-playground-series-catboost-submission", "kernel_id": "22344698"}, {"ref": "drag88/november-playground-series-eda-baseline", "kernel_id": "22173171"}, {"ref": "usharengaraju/differentialprivacy-using-diffprivlib-w-b", "kernel_id": "22021107"}, {"ref": "tunguz/tps-11-21-histgradientboosting-with-optuna", "kernel_id": "22245540"}, {"ref": "tunguz/xgboost-with-optimized-parameters", "kernel_id": "22069226"}, {"ref": "tunguz/tps-nov-2021-data-visualization-with-t-sne", "kernel_id": "22867517"}, {"ref": "aayush26/tps-nov-2021-simple-weighted-blending-ensemble", "kernel_id": "22336356"}, {"ref": "safavieh/probing-test-set-chunks-with-math", "kernel_id": "22341321"}, {"ref": "cv13j0/tps-nov21-grn-vsn", "kernel_id": "22074440"}, {"ref": "krivenkozz/gpu-based-variables-interaction-simple-solution", "kernel_id": "22266850"}, {"ref": "rogeriodelfim/tps-nov-2021-03-tunning-nn-tensorflow", "kernel_id": "22402060"}, {"ref": "siukeitin/tps112021-hard-margin-svm", "kernel_id": "22242613"}, {"ref": "siukeitin/tps112021-tensorflow-probability-modeling", "kernel_id": "22385642"}, {"ref": "sudhakarcs/tps-nov-2021-mislabelled-classes-99-valid-acc", "kernel_id": "22030701"}, {"ref": "waterfirst/logistic-regression-auc-0-73", "kernel_id": "22352309"}, {"ref": "datascientistsohail/xgbclassifier-optuna-tps-nov-21", "kernel_id": "22307294"}, {"ref": "datascientistsohail/lgbmclassifier-optuna-tps-nov-21", "kernel_id": "22345728"}, {"ref": "slythe/voting-ensemble-xgb-lgb-linear-nn-tps-nov-21", "kernel_id": "22210351"}, {"ref": "rajatpaliwal02/tps-nov-keras-sequential-api-keras-tuner", "kernel_id": "22126155"}, {"ref": "scchuy/tab-pytorch-resnet-2021-11", "kernel_id": "22198056"}, {"ref": "njelicic/tps-nov-nick", "kernel_id": "22402919"}, {"ref": "josephy93/tps-nov-xgboost-baseline", "kernel_id": "22367614"}, {"ref": "pinstripezebra/ensemble-pipeline-with-caret", "kernel_id": "22100598"}, {"ref": "haozhang607/tabular-playground-series-nov-2021", "kernel_id": "22362542"}, {"ref": "nancydrew/simple-nn-tps-nov-2021", "kernel_id": "22111422"}, {"ref": "nancydrew/basic-eda-xgboost-lgbm-catboost", "kernel_id": "22056682"}, {"ref": "kaaveland/what-the-flip", "kernel_id": "22171787"}, {"ref": "kaaveland/stable-cvs", "kernel_id": "22207221"}, {"ref": "kaaveland/mean-target-distribution-for-test-chunks", "kernel_id": "22142764"}, {"ref": "jmcslk/tps-nov-2021-simple-single-nn-3", "kernel_id": "22234163"}, {"ref": "santhoshkumarv/histgradientboosting-tps-nov-21", "kernel_id": "22374354"}, {"ref": "santhoshkumarv/pytorch-wandb-tps-nov-21", "kernel_id": "22351563"}, {"ref": "santhoshkumarv/carbon-emission-tracker-xgboost-tps-nov-21", "kernel_id": "22152474"}, {"ref": "govindlipne/my-first-tps-using-nn-pca-and-lr", "kernel_id": "22044081"}, {"ref": "rsizem2/tps-11-21-noisy-labels", "kernel_id": "22018477"}, {"ref": "zhangcheche/tps-11-autogluon", "kernel_id": "22303928"}, {"ref": "zhangcheche/tps-11-pytorch-dnn", "kernel_id": "22423954"}, {"ref": "zhangcheche/tps-11-simple-xgboost-baseline-20-lines-code", "kernel_id": "22595613"}, {"ref": "rayhanlahdji/tps-1121-simple-easy-tuning-histgbm-using-skopt", "kernel_id": "22246689"}, {"ref": "pavan9065/exploring-tps-nov-2021", "kernel_id": "22128531"}, {"ref": "saraswatitiwari/tabular-playground-series-21", "kernel_id": "22475893"}, {"ref": "lukaszborecki/test-your-submission", "kernel_id": "22203358"}, {"ref": "andreasolomon/using-lightgbm-70-67", "kernel_id": "22242503"}, {"ref": "ahmetekiz/tps-nov-2021-stacking", "kernel_id": "22428036"}, {"ref": "ahmetekiz/tps-nov-2021-final-stacking", "kernel_id": "22458531"}, {"ref": "durgancegaur/november-playground-using-autoxgb", "kernel_id": "22335941"}, {"ref": "durgancegaur/eda-and-working-with-h2oautoml", "kernel_id": "22375423"}, {"ref": "jirkaborovec/playing-tabular-with-lightning-flash", "kernel_id": "22221302"}, {"ref": "landfallmotto/tps-nov-21-doubtlab-for-bad-noisy-labels", "kernel_id": "22116199"}, {"ref": "landfallmotto/tps-nov-21-kmeans-keras-discretization-layer", "kernel_id": "22084005"}, {"ref": "takuiga/let-s-use-lightgbm-with-optuna", "kernel_id": "22165350"}, {"ref": "hyunw3/lightgbm-tabular-beginner-s-notebook", "kernel_id": "22101665"}, {"ref": "ankitkalauni/simple-weighted-average-98-93-accuracy", "kernel_id": "22089097"}, {"ref": "chizenkomamiya/kdeplt-ordered-by-kld", "kernel_id": "22320795"}, {"ref": "sk4ddd/simple-approach-using-tensorflow", "kernel_id": "22246988"}, {"ref": "kshitijbarnwal/tps-nov-xgboost-kfold", "kernel_id": "22217878"}, {"ref": "willclare/dnn-and-kerastuner", "kernel_id": "22324598"}, {"ref": "sisharaneranjana/deep-learning-with-autokeras", "kernel_id": "22101464"}, {"ref": "kmkmks/simple-lofo-feature-importance", "kernel_id": "22008166"}, {"ref": "alihammad99/tabular-playground-series-nov-2021", "kernel_id": "22216728"}, {"ref": "jokkojja/pipelines-and-gridsearch-for-logreg", "kernel_id": "22423194"}, {"ref": "pourchot/my-super-simple-overfitting-tool-explained", "kernel_id": "22435232"}, {"ref": "sudipg411/model-evaluation-tensorflow-decision-tree", "kernel_id": "22019946"}, {"ref": "kiranclement/tabular-playground-series-nov-2021-base-model", "kernel_id": "22239745"}, {"ref": "kiranclement/tabular-series-nov-21-optimization-1", "kernel_id": "22274340"}, {"ref": "kiranclement/tbs-nov-22-nn", "kernel_id": "22323012"}, {"ref": "kiranclement/tbs-baseline-std-scalar", "kernel_id": "22331739"}, {"ref": "kiranclement/fork-of-tabular-playground-series-cv-stra", "kernel_id": "22354424"}, {"ref": "smsajideen/tps-nov-pytorch-baseline-nn", "kernel_id": "22231200"}, {"ref": "bennyfung/tps-nov-2021-nn", "kernel_id": "22091726"}, {"ref": "jhyeonlee/tensorflow-resdnn-playground-nov", "kernel_id": "22366499"}, {"ref": "mohammadhossein77/tps-nov-eda-lr", "kernel_id": "22010486"}, {"ref": "mikaelovaska/scikit-learn-version-bug-with-auto-sklearn", "kernel_id": "22112219"}, {"ref": "thariqnugrohotomo/eda-on-the-chunk-and-flipped-label", "kernel_id": "22172602"}, {"ref": "markct/tps202111-simple-nn", "kernel_id": "22058287"}, {"ref": "kritchais/nov2021-competition-3rd-try", "kernel_id": "22063436"}, {"ref": "kreyttsfeldt/november-2021-competition", "kernel_id": "22265159"}, {"ref": "biancayan/tps-11-xgboost-pipeline-with-optuna", "kernel_id": "22058789"}, {"ref": "biancayan/tps-11-lightbgm-pipeline-with-optuna", "kernel_id": "22059528"}, {"ref": "biancayan/tps-11-1-stacking", "kernel_id": "22032434"}, {"ref": "biancayan/tps-11-catboost-pipeline-with-optuna", "kernel_id": "22076016"}, {"ref": "adamjanowski/all-you-need-is-pandas-benchmark-viz", "kernel_id": "22008985"}, {"ref": "vinayaktiwari28/custom-ann-with-skip-connections-train", "kernel_id": "22176069"}, {"ref": "satoshiss/playground-series-nov-with-nn-model", "kernel_id": "22417518"}, {"ref": "rhythmcam/h2o-automl-tps-dec-2021", "kernel_id": "22449628"}, {"ref": "rhythmcam/autokeras-tps-11-21", "kernel_id": "22344723"}, {"ref": "deependraparichha/tps-nov-2021", "kernel_id": "22375955"}, {"ref": "lavrovlavrov/tps-nov-2021-simple-neural-network-with-keras", "kernel_id": "22385276"}, {"ref": "verfuhrer/notebooka5f788d399", "kernel_id": "22028670"}, {"ref": "adityasharma01/simple-nn-tps-nov-21", "kernel_id": "22016168"}, {"ref": "nikhilsatani/tabular-playground-nov-2021", "kernel_id": "22343752"}, {"ref": "christoforum/tps-nov-2021-neural-network", "kernel_id": "22238038"}, {"ref": "christoforum/tps-nov-2021-lightgbm-optuna", "kernel_id": "22042249"}, {"ref": "m1y7k8/tps-nov-21-nn-model-mlp", "kernel_id": "22054572"}, {"ref": "jlg17373/keras-tps-nov-21", "kernel_id": "22238079"}, {"ref": "ambrosm/tpsnov21-012-leaderboard-probing", "kernel_id": "22231008"}, {"ref": "ambrosm/tpsnov21-012c-leaderboard-probing", "kernel_id": "22409160"}, {"ref": "ambrosm/tpsnov21-007-postprocessing", "kernel_id": "22020587"}, {"ref": "danielkondo/a-simple-neural-network-for-playground", "kernel_id": "22282793"}, {"ref": "yasht02/notebooka7bee15c27", "kernel_id": "22332134"}, {"ref": "yuyougnchan/titanic-eda-visualization-prediction-baseline", "kernel_id": "22206180"}, {"ref": "yuyougnchan/tps-nov-tabnet-tutorial", "kernel_id": "22079113"}, {"ref": "yuyougnchan/numeric-variable-end-with-this", "kernel_id": "22296593"}, {"ref": "te5serer/0-745-linearregression-score", "kernel_id": "22349134"}, {"ref": "ellavs/tabular-playground-nov-21-very-simple-xgb", "kernel_id": "22356625"}, {"ref": "ellavs/tabular-playground-nov-21-logistic-regression", "kernel_id": "22401635"}, {"ref": "flezzer/tabular-playground-series-nov-2021", "kernel_id": "22355981"}, {"ref": "sfktrkl/tps-nov-2021-nn", "kernel_id": "22049543"}, {"ref": "sfktrkl/tps-nov-2021-power-averaging", "kernel_id": "22149689"}, {"ref": "sfktrkl/tps-nov-2021-nn-with-feature-engineering", "kernel_id": "22167331"}, {"ref": "sfktrkl/tps-nov-2021-nn-2", "kernel_id": "22172585"}, {"ref": "vasenkovartem/november-kaggle-competition", "kernel_id": "22438416"}, {"ref": "samuelcortinhas/tabular-regular-neural-network", "kernel_id": "22145678"}, {"ref": "phelix125/notebook6fed77caec", "kernel_id": "22359289"}, {"ref": "alexandermandrov/map-tab-nov", "kernel_id": "22218224"}, {"ref": "sinkevichgerman/november-2021", "kernel_id": "22246214"}, {"ref": "marydrobotun/notebook96a116bffe", "kernel_id": "22430525"}, {"ref": "lehaaa1/tps-nov-21", "kernel_id": "23489382"}, {"ref": "vadimmaklakov/tabular-playground-series-nov-2021", "kernel_id": "24573286"}, {"ref": "mustafamu/tabular-playground-series-nov-2021-using-cnn", "kernel_id": "24172633"}, {"ref": "owaistahir/tabnet-landslide-predictions", "kernel_id": "24540998"}, {"ref": "erofeevgleb/tps-nov", "kernel_id": "24524622"}, {"ref": "asmaabdolahpoor/tabular-playground-series-logistic-regression", "kernel_id": "26723633"}, {"ref": "asmaabdolahpoor/keras-tps-nov-21", "kernel_id": "26846908"}, {"ref": "suketundave215/tps-nov-log-regression-with-sklearnex-17x-speedup", "kernel_id": "27996414"}, {"ref": "soroushheidary1999/umap-hdbscan", "kernel_id": "29366586"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "vatsaldhama/differentialprivacy-using-diffprivlib-w-b", "kernel_id": "32563644"}, {"ref": "aasthasrivastavas/neural-network-xgboost-and-regression", "kernel_id": "37380204"}, {"ref": "nurayoryngaliyeva/notebook8db2a40dd5", "kernel_id": "43395763"}, {"ref": "ma12492002/ml-simple-neural-network-with-pytorch", "kernel_id": "50740271"}, {"ref": "rajhanss/tps-nov-2021-ensemble", "kernel_id": "130829483"}]}
{"competition_id": "28012", "kernels": [{"ref": "carlmcbrideellis/some-pretty-t-sne-plots", "kernel_id": "21211894"}, {"ref": "kishalmandal/pytorch-series-part-1-dataset-and-dataloader", "kernel_id": "21707983"}, {"ref": "kishalmandal/pytorch-tps-dec-baseline", "kernel_id": "21709872"}, {"ref": "kishalmandal/fold-is-power", "kernel_id": "21696795"}, {"ref": "maxdiazbattan/tps-2021-pytorch-lightning-dataparallel-2t4", "kernel_id": "21987884"}, {"ref": "mt77pp/mljar-automl-tps-dec-2021", "kernel_id": "22456055"}, {"ref": "lucamassaron/tfkeras-dnn-with-multiclass-focal-loss", "kernel_id": "22470215"}, {"ref": "lucamassaron/lb-probing", "kernel_id": "22472289"}, {"ref": "lucamassaron/baseline-lightgbm-with-covtype-augmentation", "kernel_id": "22449904"}, {"ref": "lucamassaron/lightgbm-with-multiclass-focal-loss", "kernel_id": "22534304"}, {"ref": "lucamassaron/error-analysis-for-tps12", "kernel_id": "22728092"}, {"ref": "lucamassaron/tfkeras-dnn-with-augmentation", "kernel_id": "22731104"}, {"ref": "lucamassaron/tfkeras-dnn-without-augmentation", "kernel_id": "22731498"}, {"ref": "lucamassaron/fixed-lightgbm-reproducibility-for-multiclass", "kernel_id": "22732569"}, {"ref": "rohanrao/automl-tutorial-tps-december-2021", "kernel_id": "22453376"}, {"ref": "threecifanggen/practice-h20-automl", "kernel_id": "22901638"}, {"ref": "optimo/tabnet-original-paper-s-parameters", "kernel_id": "22519017"}, {"ref": "adaubas/tps-dec-2021-wilderness-area3-is-strange", "kernel_id": "22469883"}, {"ref": "grayjay/wilderness-area-noise-shift", "kernel_id": "22916986"}, {"ref": "sugamkhetrapal/tps-dec-2021-1-06-xgboost-tree-vs-linear", "kernel_id": "22468017"}, {"ref": "sugamkhetrapal/tps-dec-2021-1-01-eda-dataprep", "kernel_id": "22452715"}, {"ref": "sugamkhetrapal/tps-dec-2021-1-02-eda-sweetviz", "kernel_id": "22454310"}, {"ref": "sugamkhetrapal/tps-dec-2021-1-03-eda-autoviz", "kernel_id": "22456506"}, {"ref": "sugamkhetrapal/tps-dec-2021-1-04-eda-pandas-profiling", "kernel_id": "22456806"}, {"ref": "sugamkhetrapal/tps-dec-2021-1-05-getting-started", "kernel_id": "22457432"}, {"ref": "tunguz/tps-dec-2021-simple-linear-baseline", "kernel_id": "22465098"}, {"ref": "tunguz/no-good-terrible-the-worst-submission-tps-12-21", "kernel_id": "22538376"}, {"ref": "tunguz/tps-dec-2021-simple-linear-baseline-with-fe", "kernel_id": "22868023"}, {"ref": "tunguz/tps-dec-2021-visualization-with-t-sne", "kernel_id": "22868364"}, {"ref": "tqrahman/baseline-with-tf-and-feature-engineering", "kernel_id": "22487419"}, {"ref": "cv13j0/tps-dec-2021-beginner-code", "kernel_id": "22563277"}, {"ref": "gvyshnya/dec-21-tpc-deep-autoviml", "kernel_id": "22562863"}, {"ref": "gvyshnya/express-eda-with-autoviz-dec21-tcp", "kernel_id": "22562567"}, {"ref": "gvyshnya/lightgbm-with-multiclass-focal-loss-baseline", "kernel_id": "22587078"}, {"ref": "gvyshnya/autogluon-automl-prediction-dec-2021-tpc", "kernel_id": "22745391"}, {"ref": "gvyshnya/dec-21-tpc-h2o-automl-baseline", "kernel_id": "22859447"}, {"ref": "gvyshnya/eli5-perm-fi-with-additional-fe-dec-21-tpc", "kernel_id": "22802955"}, {"ref": "rsesha/auto-visualization-of-tps-dec-2021-using-autoviz", "kernel_id": "22463433"}, {"ref": "rsesha/featurewiz-lightgbm-on-dec-tps-score", "kernel_id": "22862100"}, {"ref": "rsesha/dec-tps-deep-autoviml-92-6-accuracy", "kernel_id": "22563010"}, {"ref": "rumasinha/decdataanalysis-featureselection-xgboost", "kernel_id": "22474077"}, {"ref": "nitishraj/tps-dec-21-nn-feature-eng", "kernel_id": "22563148"}, {"ref": "nitishraj/tps-dec-21-baseline-xgboost", "kernel_id": "22462192"}, {"ref": "nitishraj/tps-dec-2021-5-folds", "kernel_id": "22460832"}, {"ref": "stevenrferrer/tps-dec-2021-baseline-xgbm-lgbm-cb-with-gpu", "kernel_id": "22451906"}, {"ref": "dgf4qu/tps-12-2021-xgboost-model", "kernel_id": "22473339"}, {"ref": "dgf4qu/tps-12-2021-xgboost-v2-feat-eng", "kernel_id": "22948211"}, {"ref": "thalesgaluchi/xgboost-classifier-after-eda", "kernel_id": "22713928"}, {"ref": "thalesgaluchi/histograms-for-a-good-prediction", "kernel_id": "22520368"}, {"ref": "krivenkozz/feature-engineering-gpu-based-xgboost-importance", "kernel_id": "22957011"}, {"ref": "rogeriodelfim/tps-dec-2021-01-eda-baseline-xgb", "kernel_id": "22448421"}, {"ref": "jmargni/tps-dec2021-lightgbm-voting-kfolds", "kernel_id": "22913499"}, {"ref": "peressim/tps-dec-2021-baseline-models", "kernel_id": "22542553"}, {"ref": "peressim/tps-dec-2021-eda", "kernel_id": "22512242"}, {"ref": "peressim/tps-dec-2021-xgboost", "kernel_id": "22781822"}, {"ref": "siukeitin/tps122021-exploiting-sparsity-for-xgboost", "kernel_id": "22751735"}, {"ref": "valou7/tps-dec-2021-unbalanced-data", "kernel_id": "22648145"}, {"ref": "rahullalu/tps-dec-2021-eda-and-baseline", "kernel_id": "22455161"}, {"ref": "possatti/tps-12-eda", "kernel_id": "22498957"}, {"ref": "possatti/tps-12-soil-features", "kernel_id": "22662546"}, {"ref": "burkaykirnik/notebookb94dc116ae", "kernel_id": "22823728"}, {"ref": "maheswarareddyp/tabular-dec", "kernel_id": "22886044"}, {"ref": "massimod/tps-202112-catboost-base", "kernel_id": "22902058"}, {"ref": "docxian/tabular-playground-12-let-s-go", "kernel_id": "22479362"}, {"ref": "slythe/deep-learning-tps-december-2021", "kernel_id": "22700005"}, {"ref": "slythe/tps-dec-2021-6-full-lightgbm-tuning-training", "kernel_id": "22738338"}, {"ref": "slythe/tabular-playground-dec-2021", "kernel_id": "22452336"}, {"ref": "suddharshan/ensemble-catboost-xgboost-randomforest", "kernel_id": "22598663"}, {"ref": "delai50/lightgbm-not-reproducible-for-multiclass-problem", "kernel_id": "22720667"}, {"ref": "rjavadi/december-tp", "kernel_id": "22945414"}, {"ref": "revathiprakash/tps-dec-ensemble-gpu", "kernel_id": "22458551"}, {"ref": "vladlee/tabular-dec-21-lgbm-tuning", "kernel_id": "22526686"}, {"ref": "vladlee/tabular-dec-21-lgbm-baseline", "kernel_id": "22518999"}, {"ref": "jlove100/dec-tabular-playground-lightgbm-hyperopt", "kernel_id": "22508231"}, {"ref": "jlove100/dec-tabular-playground-eda", "kernel_id": "22456186"}, {"ref": "liberatoryohan/tabular-playground-dec-21", "kernel_id": "22809084"}, {"ref": "danieleongari/tsp-dec21-sequential-dense-nn-w-tpu", "kernel_id": "22670531"}, {"ref": "samir95/3d-visualization-with-plotly-using-pca", "kernel_id": "22812592"}, {"ref": "craigmthomas/tps-dec-2021-40-bit-soil-type-conversion", "kernel_id": "22783302"}, {"ref": "craigmthomas/tps-dec-2021-eda", "kernel_id": "22475832"}, {"ref": "vishnukarthiklu/tps-12-basic-data-visualization-and-eda", "kernel_id": "22602326"}, {"ref": "vishnukarthiklu/tps-12-basic-xgb-v-cat", "kernel_id": "22669761"}, {"ref": "indiegolab/tps-dec2021-simple-eda-practice", "kernel_id": "22683613"}, {"ref": "ashura837/tps-dec21-teterin", "kernel_id": "22815767"}, {"ref": "gazu468/tps-dec-eda-modeling", "kernel_id": "22452473"}, {"ref": "haozhang607/tabular-playground-series-dec-2021", "kernel_id": "22471602"}, {"ref": "leeyj0511/tps-dec-simpl-eda-basic-modeling-for-beginner", "kernel_id": "22690059"}, {"ref": "kaaveland/tps202112-parquet", "kernel_id": "22456821"}, {"ref": "kaaveland/tps202112-lgbm-feature-importance", "kernel_id": "22457103"}, {"ref": "kaaveland/tps202112-xgboost-baseline", "kernel_id": "22459008"}, {"ref": "kaaveland/tps202112-initial-eda", "kernel_id": "22469805"}, {"ref": "kaaveland/no-good-terrible-the-worst-submission-tps-12-21", "kernel_id": "22544963"}, {"ref": "kaaveland/tps202112-optuna-torch", "kernel_id": "22560088"}, {"ref": "kaaveland/tps202112-do-you-need-all-that-data", "kernel_id": "22565237"}, {"ref": "kaaveland/tps202112-reasonable-xgboost-model", "kernel_id": "22887499"}, {"ref": "kaaveland/tps-12-super-fast-blending-tool", "kernel_id": "22894215"}, {"ref": "kaaveland/private-tps202112-reasonable-xgboost-model", "kernel_id": "22892570"}, {"ref": "kaaveland/tps202112-ctgan-artifacts-chunks", "kernel_id": "22861668"}, {"ref": "a165079/t-p-s", "kernel_id": "22693471"}, {"ref": "omarvivas/torchmodelgpu-tpsdec21", "kernel_id": "22489595"}, {"ref": "stpeteishii/tps1221-lightgbm-add-duplicate-data-smote", "kernel_id": "22569302"}, {"ref": "stpeteishii/tps1221-lightgbm-add-dup-data", "kernel_id": "22547522"}, {"ref": "stpeteishii/tps1221-data-histplot", "kernel_id": "22475920"}, {"ref": "sgiuri/dec21tp-feathercreator-super-fast-data-download", "kernel_id": "22466173"}, {"ref": "ted0071/tps-dec-2021-eda", "kernel_id": "22452977"}, {"ref": "mpwolke/tooezy-where-are-you-no-camping-here", "kernel_id": "22524012"}, {"ref": "mpwolke/roosevelt-forest-of-northern-colorado-charts", "kernel_id": "22544563"}, {"ref": "zhangcheche/tps-12-eda-xgboost-score-0-95434-consult", "kernel_id": "22458620"}, {"ref": "zhangcheche/tps-12-autogluon", "kernel_id": "22453220"}, {"ref": "zhangcheche/tps-12-simple-keras-nn-baseline", "kernel_id": "22577006"}, {"ref": "zhangcheche/tps-12-simple-xgboost-baseline-20-lines-code", "kernel_id": "22569986"}, {"ref": "legendsoul/tps-december-21-comprehensive-insight-of-eda", "kernel_id": "22506367"}, {"ref": "rayhanlahdji/tps-1221-logistic-regression-bootstrapped", "kernel_id": "22525945"}, {"ref": "ccollado7/tps-dec-2021-eda", "kernel_id": "22627500"}, {"ref": "berkayalan/logistic-regression-neural-networks-xgboost", "kernel_id": "22776079"}, {"ref": "prakhar154/notebook2ed6ade8b3", "kernel_id": "22880167"}, {"ref": "bhuppi2898/tps-december-eda-easy", "kernel_id": "22475717"}, {"ref": "bhuppi2898/tps-dec-simple-xgboost-with-0-95-acc-easy", "kernel_id": "22476510"}, {"ref": "pavan9065/explore-tps-dec-2021", "kernel_id": "22510208"}, {"ref": "sndpkirwai/tps-dec-2021-simple-linear-baseline", "kernel_id": "22548838"}, {"ref": "hamzaghanmi/tps-dec-step-by-step", "kernel_id": "22455449"}, {"ref": "sogamja/2021-dec-tps-eda", "kernel_id": "22476845"}, {"ref": "akmeghdad/tps-1221-load-data-50-36-faster", "kernel_id": "22696705"}, {"ref": "akmeghdad/tps-1221-all-in-one-eda", "kernel_id": "22680936"}, {"ref": "ochaaaaaaan/tabular-playground-series-dec-2021-lightgbm", "kernel_id": "22746283"}, {"ref": "ochaaaaaaan/tabular-playground-series-dec-2021-lgbm-usb", "kernel_id": "22902226"}, {"ref": "datastrophy/tps-end-of-the-year-14-baseline-models", "kernel_id": "22451525"}, {"ref": "ravitco/xgboost-accelerated-performance-with-dask-gpu", "kernel_id": "22554941"}, {"ref": "saraswatitiwari/tabular-playground-series-dec-2021", "kernel_id": "22457002"}, {"ref": "carlmcbrideellis/tps-dec-2021-covertype-simple-elevation-model", "kernel_id": "22553081"}, {"ref": "merlinschaefer/eda-and-non-nn-models", "kernel_id": "22483276"}, {"ref": "gulshanmishra/tps-dec-21-xgboost-optuna", "kernel_id": "22474924"}, {"ref": "gulshanmishra/3-simple-rules-90-accuracy", "kernel_id": "22701750"}, {"ref": "gulshanmishra/tps-dec-21-tensorflow-nn-feature-engineering", "kernel_id": "22536463"}, {"ref": "frankmollard/pca-t-sne-umap-trimap-pacmap", "kernel_id": "22615184"}, {"ref": "kalilurrahman/tps-dec-2021-eda-and-analysis", "kernel_id": "22450233"}, {"ref": "kalilurrahman/tps-dec-2021-analysis-using-w-b-tool", "kernel_id": "22484702"}, {"ref": "lonnieqin/tps-12-21-catboost", "kernel_id": "22449907"}, {"ref": "boopathymsse/tps-dec21-logitboost", "kernel_id": "22512749"}, {"ref": "muhammedjaabir/forest-cover-pred", "kernel_id": "22749940"}, {"ref": "muhammedjaabir/forest-cover-pred-high-score", "kernel_id": "22995371"}, {"ref": "egorovalexeyd/tps-december-0-95536-simple-keras-nn", "kernel_id": "22539637"}, {"ref": "vanguarde/tps-dec-21-resampling-for-beginners", "kernel_id": "22468579"}, {"ref": "gustavfredrikson/tps-dec-21-fast-easy-95-4-using-catboost", "kernel_id": "22552725"}, {"ref": "gustavfredrikson/tps-dec-21-simple-tensorflow-nn-on-tpu", "kernel_id": "22702922"}, {"ref": "remekkinas/tps-12-nn-tpu-pseudolabeling-0-95690", "kernel_id": "22450804"}, {"ref": "remekkinas/tps-12-super-fast-blending-tool", "kernel_id": "22892892"}, {"ref": "remekkinas/tps-12-pseudolabels-for-classification-tutorial", "kernel_id": "22555657"}, {"ref": "ranjeetshrivastav/tps-dec-21-xgb", "kernel_id": "22449848"}, {"ref": "durgancegaur/autoxgb-xgboost-optuna-score-0-95437-dec", "kernel_id": "22573656"}, {"ref": "durgancegaur/tps-dec-hyperp-tuning-catboost-score-0-95451", "kernel_id": "22550088"}, {"ref": "durgancegaur/automating-the-entire-workflow", "kernel_id": "22698362"}, {"ref": "durgancegaur/eda-for-dec-playground", "kernel_id": "22451322"}, {"ref": "debarshichanda/pytorch-dae-starter", "kernel_id": "22458290"}, {"ref": "lluis94/eda-multiple-models-exploration", "kernel_id": "22687056"}, {"ref": "guptashourya/tps-dec-beginners-notebook", "kernel_id": "22784684"}, {"ref": "rmcabato/classbalance", "kernel_id": "22451301"}, {"ref": "vijayshankar756/tabular-playground", "kernel_id": "22575838"}, {"ref": "mlanhenke/tps-12-denoising-autoencoder-nn-keras", "kernel_id": "22584208"}, {"ref": "mlanhenke/tps-12-deep-wide-nn-keras", "kernel_id": "22563271"}, {"ref": "mlanhenke/tps-12-deep-cross-nn-keras", "kernel_id": "22562493"}, {"ref": "mlanhenke/tps-12-simple-nn-fe-pseudolabels-keras", "kernel_id": "22483865"}, {"ref": "mlanhenke/tps-12-bottleneck-autoencoder-nn-keras", "kernel_id": "22502484"}, {"ref": "mlanhenke/tps-12-g-res-variable-selection-nn-keras", "kernel_id": "22759687"}, {"ref": "namanbansalcodes/playground-dec2021-naman-svm", "kernel_id": "22719327"}, {"ref": "hakanerdogan/tps-dec-2021-simple-code-with-catboost", "kernel_id": "22450956"}, {"ref": "hakanerdogan/tps-dec-2021-catboost-with-optuna", "kernel_id": "22507679"}, {"ref": "lordozvlad/tps-dec-fast-feature-importance-with-sklearnex", "kernel_id": "22660984"}, {"ref": "eduardogutierrez/tps-dec-21-exploratory-data-analysis", "kernel_id": "22780173"}, {"ref": "hrishikeshkini/pseudolabels", "kernel_id": "22861530"}, {"ref": "kavehshahhosseini/tps-dec-2021-simple-ensemble-public-notebooks", "kernel_id": "22880373"}, {"ref": "kavehshahhosseini/tps-dec-2021-tensorflow-nn-tpu-and-w-b", "kernel_id": "22470282"}, {"ref": "kavehshahhosseini/tps-dec-2021-unsupervised-learning-features", "kernel_id": "22457982"}, {"ref": "skanderhaddad/tps-dec-ann4-gpu-ctgan", "kernel_id": "22968107"}, {"ref": "skanderhaddad/tps-dec-pseudolabels-ensemble", "kernel_id": "22710673"}, {"ref": "hongyeob/tps-dec-2021", "kernel_id": "22693513"}, {"ref": "sanikad/dec-tps-simply-simple-xgboost-model-explained", "kernel_id": "22857612"}, {"ref": "seungbumlim/tps-dec-2021-lgb-classifier-eda-baseline", "kernel_id": "22635400"}, {"ref": "desalegngeb/december-2021-tps-eda-models", "kernel_id": "22455895"}, {"ref": "bibhabasumohapatra/multiclass-using-predict-proba-ensemble", "kernel_id": "22798281"}, {"ref": "bibhabasumohapatra/multiclass-using-predict-proba-ensemble-part-2", "kernel_id": "22516592"}, {"ref": "yusufmuhammedraji/tps-dec-2021-feather-dataset", "kernel_id": "22449180"}, {"ref": "aniketsharma00411/tpsdec21-dummy", "kernel_id": "22557602"}, {"ref": "aniketsharma00411/tpsdec21-xgboost", "kernel_id": "22570180"}, {"ref": "aniketsharma00411/tpsdec21-xgboost-2", "kernel_id": "22575572"}, {"ref": "aniketsharma00411/tpsdec21-sample-submission", "kernel_id": "22533289"}, {"ref": "aniketsharma00411/tpsdec21-exploratory-data-analysis", "kernel_id": "22533036"}, {"ref": "ankitkalauni/forest-cover-type-prediction-baseline", "kernel_id": "22580382"}, {"ref": "ankitkalauni/deep-learning-neural-networks-starter-pack", "kernel_id": "22633917"}, {"ref": "rakesh0929b/tabular-playground-series-2021", "kernel_id": "22519342"}, {"ref": "mirenaborisova/tabular-playground-dec-2021-02", "kernel_id": "22960139"}, {"ref": "mirenaborisova/tabular-playground-dec-2021-01", "kernel_id": "22870391"}, {"ref": "yannbarthelemy/tps-december-first-nn", "kernel_id": "22466356"}, {"ref": "karthikgopalkrishnan/tps-dec-2021-simple-xgboost", "kernel_id": "22570821"}, {"ref": "teckmengwong/simpleautokerastuner", "kernel_id": "22842339"}, {"ref": "teckmengwong/gresvariableselection-softmaxclassification", "kernel_id": "22908082"}, {"ref": "teckmengwong/simpleautonn-softmax", "kernel_id": "22451411"}, {"ref": "teckmengwong/dcnv2-softmaxclassification", "kernel_id": "22455476"}, {"ref": "sk4ddd/tds-dec-simple-pipeline-tensorflow-bokeh", "kernel_id": "22488979"}, {"ref": "mhslearner/tps-dec-eda-resnet", "kernel_id": "22579265"}, {"ref": "vardhansiramdasu/tabular-playground-series-dec-2021", "kernel_id": "22771866"}, {"ref": "sergeilepitko/tps-dec-2021-eda", "kernel_id": "22470192"}, {"ref": "abdelrahmanrabah/december-notebook-nn", "kernel_id": "22538805"}, {"ref": "gjbergues/pokemon-classifier", "kernel_id": "22661913"}, {"ref": "baekseungyun/tps-dec-there-is-no-label-5-in-test-data", "kernel_id": "22762053"}, {"ref": "baekseungyun/tps-dec-catboost-optuna-cv-lb-0-9547", "kernel_id": "22553620"}, {"ref": "jeongbinpark/simple-work-visualization-using-pca", "kernel_id": "22743350"}, {"ref": "sisharaneranjana/semi-supervised-pre-training-with-tabnet", "kernel_id": "22451532"}, {"ref": "anandhuh/tps-dec-21-simple-xgbclassifier-score-0-95247", "kernel_id": "22450324"}, {"ref": "anandhuh/tps-dec-21-simple-catboost-score-0-95352", "kernel_id": "22505612"}, {"ref": "srajanseth/automating-the-entire-workflow", "kernel_id": "22874048"}, {"ref": "rishabhkumar11081994/dec-playground", "kernel_id": "22582833"}, {"ref": "brthym/tps-dec-sgd-lsvc-xgb-catb-lgbm", "kernel_id": "22491876"}, {"ref": "roysenfeng/tps-12-data-visualization-and-eda", "kernel_id": "22923731"}, {"ref": "sergiosaharovskiy/tps-dec-2021-a-complete-guide-eda-pytorch", "kernel_id": "22462419"}, {"ref": "shaunalexander/tps-eda-tab-net-w-optuna", "kernel_id": "22961681"}, {"ref": "lanukahjo/eda-feature-engineering-catboost", "kernel_id": "22536032"}, {"ref": "thasnihakeem/tps-dec-2021-using-linearregression", "kernel_id": "22503955"}, {"ref": "thasnihakeem/tps-dec-21-simple-xgbclassifier-and-catboostclass", "kernel_id": "22504529"}, {"ref": "pasuvulasaikiran/dec-tabular-catboost", "kernel_id": "22906565"}, {"ref": "balamurugan1603/tps-dec-21-nn-feature-engg-tf", "kernel_id": "22735564"}, {"ref": "smsajideen/tps-dec-pytorch-nn", "kernel_id": "22450498"}, {"ref": "muhammadwaqargul/tps-dec-autoeda", "kernel_id": "22459849"}, {"ref": "bennyfung/keras-mlp-score-95-6", "kernel_id": "22530043"}, {"ref": "raulandresolivares/tensorflow-v2", "kernel_id": "22894195"}, {"ref": "ayoubchaoui/dimensionality-reduction", "kernel_id": "22839670"}, {"ref": "ayoubchaoui/dimensionality-reduction-algorithm", "kernel_id": "22915380"}, {"ref": "mohammadhossein77/tps-dec-catboost-gs", "kernel_id": "22521467"}, {"ref": "odins0n/tps-dec-h20-automl", "kernel_id": "22449007"}, {"ref": "odins0n/tps-dec-eda-modelling", "kernel_id": "22448903"}, {"ref": "maximkazantsev/tps-12-21-eda-catboost", "kernel_id": "22461131"}, {"ref": "maximkazantsev/tps-12-21-eda-ann-pytorch-lightning", "kernel_id": "22467745"}, {"ref": "tariqchhussain/xgb-optuna-oversampled-tps-dec-21-wip", "kernel_id": "22486065"}, {"ref": "tariqchhussain/lightgbm-oversampling-tps-dec-2021", "kernel_id": "22961942"}, {"ref": "tariqchhussain/barebones-xgboost-implementation-tps-dec-2021", "kernel_id": "22790808"}, {"ref": "juliorsleite/tpc-12-21", "kernel_id": "22454429"}, {"ref": "thariqnugrohotomo/comparing-original-competition-dataset", "kernel_id": "22731606"}, {"ref": "gaganmaahi224/tps-dec-21-clean-eda-and-prediction", "kernel_id": "22457760"}, {"ref": "gaganmaahi224/everything-you-need-to-know-in-plotly", "kernel_id": "22504721"}, {"ref": "shithavengara/tps-dec-21-xgbclassifier", "kernel_id": "22758298"}, {"ref": "markct/tps-202112", "kernel_id": "22557291"}, {"ref": "casati8/kaggle-tps-dec2021-fastai", "kernel_id": "22577895"}, {"ref": "mohamedelsrogy/simple-nn-dr-eda-accuracy-96", "kernel_id": "22709376"}, {"ref": "kreyttsfeldt/simple-keras-for-dec-2021-tabular-competition", "kernel_id": "22841417"}, {"ref": "alexeykolobyanin/tps-dec-svc-with-sklearnex-20x-speedup", "kernel_id": "22858176"}, {"ref": "munyuju/tps-202112", "kernel_id": "22683821"}, {"ref": "omkarborikar/handling-imbalanced-data-and-xgboost-optuna-tuning", "kernel_id": "22676057"}, {"ref": "satoshiss/tps-december-nn-model", "kernel_id": "22870405"}, {"ref": "satoshiss/tps-december-pseudo-labels", "kernel_id": "22983998"}, {"ref": "satoshiss/tps-december-xgbclassifier", "kernel_id": "22686032"}, {"ref": "rhythmcam/tps-12-21-quick-eda-for-quick-eda", "kernel_id": "22465127"}, {"ref": "rhythmcam/xgb-tree-method-gpu-hist", "kernel_id": "22461684"}, {"ref": "rhythmcam/pandas-basic-get-label-count", "kernel_id": "22461008"}, {"ref": "rhythmcam/h2o-automl-tps-dec-2021", "kernel_id": "22449628"}, {"ref": "rhythmcam/tps-12-21-lightgbm-pycaret-kfold", "kernel_id": "22449815"}, {"ref": "rhythmcam/autokeras-tps-12-21", "kernel_id": "22449873"}, {"ref": "rhythmcam/automatic-eda-tool-d-tale-tab-12-21", "kernel_id": "22449960"}, {"ref": "rhythmcam/dabl-baseline-prediction-tps-12-21", "kernel_id": "22450039"}, {"ref": "rhythmcam/seaborn-basic-draw-target-count", "kernel_id": "22662811"}, {"ref": "rhythmcam/tab-12-21-get-catboost-optuna-best", "kernel_id": "22559532"}, {"ref": "rhythmcam/catboost-gpu-baseline-0-95352", "kernel_id": "22580864"}, {"ref": "rhythmcam/tab-12-21-get-lgbm-optuna-best", "kernel_id": "22527322"}, {"ref": "rhythmcam/tps-12-21-lda", "kernel_id": "22535868"}, {"ref": "rhythmcam/tps-12-21-lda-prediction", "kernel_id": "22549378"}, {"ref": "naveen9192/catb-dec-series", "kernel_id": "22462911"}, {"ref": "yazanmajzob/frequency-encoding-eda-modeling", "kernel_id": "22487731"}, {"ref": "yazanmajzob/feature-importance-catboost", "kernel_id": "22456753"}, {"ref": "yazanmajzob/how-to-choose-the-best-model", "kernel_id": "22452862"}, {"ref": "yazanmajzob/dealing-with-imbalanced-datasets", "kernel_id": "22453453"}, {"ref": "yazanmajzob/xgbclassifier-gpu-1-min", "kernel_id": "22449678"}, {"ref": "yazanmajzob/eda-modeling", "kernel_id": "22451109"}, {"ref": "sayasiapasih/tps-dec-2021-a-complete-guide-eda-pytorch", "kernel_id": "22570523"}, {"ref": "damagejun/tps-dec-2021-eda", "kernel_id": "22500878"}, {"ref": "junhyeok99/tf-saint-implement", "kernel_id": "22982261"}, {"ref": "junhyeok99/multi-head-attention", "kernel_id": "22663034"}, {"ref": "christoforum/tps-dec-2021-self-normalizing-neural-network", "kernel_id": "22605293"}, {"ref": "christoforum/tps-dec-2021-neural-network-with-gridsearchcv", "kernel_id": "22484798"}, {"ref": "raushan9jnv/tps-eda-simple-ml", "kernel_id": "22838751"}, {"ref": "maniklakherwal/learning-learning-rate-scheduling", "kernel_id": "22608869"}, {"ref": "mikhailzemskov/simple-eda-pytorch-catalyst", "kernel_id": "22481283"}, {"ref": "m1y7k8/tps-dec-21-eda-and-randomforest", "kernel_id": "22457409"}, {"ref": "m1y7k8/tps-dec-21-eda-add-info", "kernel_id": "22978048"}, {"ref": "ambrosm/tpsdec21-01-keras-quickstart", "kernel_id": "22449982"}, {"ref": "ambrosm/tpsdec21-03-train-and-test-don-t-overlap", "kernel_id": "22477061"}, {"ref": "danielkondo/simple-model-for-dec2021-playground", "kernel_id": "22651861"}, {"ref": "nafishamoin/tabular-playground-december-2021", "kernel_id": "22449201"}, {"ref": "mfedeli/tabular-playground-series-dec-2021", "kernel_id": "22458674"}, {"ref": "heejinim/tps-dec2021-1", "kernel_id": "22645363"}, {"ref": "kagglerrr1/tps-dec-h20-automl", "kernel_id": "22451872"}, {"ref": "yuyougnchan/numeric-variable-end-with-this", "kernel_id": "22296593"}, {"ref": "gaolang/tps-dec-2021-simple-ensemble-public-notebooks", "kernel_id": "22903814"}, {"ref": "datarohitingole/tps-dec-2021-eda-catboostclassifier", "kernel_id": "22988707"}, {"ref": "te5serer/tps-december-tensorflow-nn", "kernel_id": "22961012"}, {"ref": "tany1404/tabular-playground-dec-2021-with-ensembles", "kernel_id": "22787201"}, {"ref": "sarahgiampieri/eda-kaggle-competition-dec2021", "kernel_id": "22682281"}, {"ref": "makonori/tps-dec2021-by-keras-ensemble", "kernel_id": "22555223"}, {"ref": "sumeetbohra/eda-feature-engineering-xgboost", "kernel_id": "22913847"}, {"ref": "flezzer/tabular-playground-series-dec-2021", "kernel_id": "22821056"}, {"ref": "sfktrkl/tps-dec-2021-nn", "kernel_id": "22752981"}, {"ref": "sfktrkl/tps-dec-2021-hyperparameters-tuning", "kernel_id": "22543696"}, {"ref": "vasenkovartem/december-kaggle", "kernel_id": "22964516"}, {"ref": "kjw3226/t-p-s-do-it-eda-modeling", "kernel_id": "22950035"}, {"ref": "samuelcortinhas/tps-dec-feat-eng-pseudolab-clean-version", "kernel_id": "22743814"}, {"ref": "samuelcortinhas/tps-dec-ensemble-pseudolabels", "kernel_id": "22586778"}, {"ref": "samuelcortinhas/tps-dec-eda-feat-eng-pseudolab", "kernel_id": "22511562"}, {"ref": "imnaho/using-xgboost-and-catboost", "kernel_id": "22461905"}, {"ref": "yoonhwayam/tps-submission-data-yh", "kernel_id": "22926598"}, {"ref": "megaslav/sklearn-with-transformers-and-pipelines", "kernel_id": "22814518"}, {"ref": "sinkevichgerman/december-2021", "kernel_id": "22451669"}, {"ref": "kaggleqrdl/qrdl-covtype-tpsdec21-01-keras-quickstart", "kernel_id": "22798156"}, {"ref": "kaggleqrdl/notebook79c191f7e6", "kernel_id": "22742511"}, {"ref": "anazarate02/tpsdec21-01-keras-quickstart", "kernel_id": "22495605"}, {"ref": "haudwig/tps-12-21", "kernel_id": "22521549"}, {"ref": "zwartfreak/easiest-tps-prediction-full-explanation", "kernel_id": "22929903"}, {"ref": "morjitan/notebook61e13fb819", "kernel_id": "22638244"}, {"ref": "juancgonzvel/pt-dm-2-op-1", "kernel_id": "22707288"}, {"ref": "adaubas/tps-dec-2021-catboost-almost-decent", "kernel_id": "23091953"}, {"ref": "tqrahman/tensorflow-model-with-pca-and-skip-connection", "kernel_id": "23395633"}, {"ref": "rumasinha/xgboostandcrossvalidationandnewfeatures", "kernel_id": "23294070"}, {"ref": "peressim/tps-dec-2021-transformer", "kernel_id": "23425623"}, {"ref": "fergusfindley/tpsjan22-eda-baseline-train-submission", "kernel_id": "23469003"}, {"ref": "seungtaekim/tps-lgbm-baseline", "kernel_id": "23092903"}, {"ref": "leeyj0511/tps-dec-end-to-end-ml-project-for-beginner", "kernel_id": "23043293"}, {"ref": "nasil2/xgb-and-more", "kernel_id": "23122370"}, {"ref": "kratos2597/tabular-playground-series-jan-2022", "kernel_id": "23562431"}, {"ref": "swagician/dec-r-h2o4gpu-party", "kernel_id": "23478589"}, {"ref": "ksamant/tps-december-first-notebook-on-kaggle-95-307", "kernel_id": "23474088"}, {"ref": "kroha5/nn-notebook-tabular", "kernel_id": "23533929"}, {"ref": "abhijitd16/tps-dec21-xgb-and-catb", "kernel_id": "23105386"}, {"ref": "datastrophy/tps-12-21-xgb-optuna-tutorial-study-vis", "kernel_id": "23135260"}, {"ref": "sytuannguyen/tps-dec-automated-ensemble", "kernel_id": "23478259"}, {"ref": "bernhardklinger/tps-v4", "kernel_id": "23488607"}, {"ref": "shramanabhattacharya/forest-cover-type-prediction-using-random-forest", "kernel_id": "23292238"}, {"ref": "mohitludhiyani/tps-dec2021-wth-new-features-random-fores-0-9528", "kernel_id": "23525622"}, {"ref": "rmcabato/calibrated-mlp", "kernel_id": "23462780"}, {"ref": "maunilshah/tabular-playground-series-part-1", "kernel_id": "23010164"}, {"ref": "maunilshah/tabular-playground-part2", "kernel_id": "23012070"}, {"ref": "smritirani/tps-dec-21-eda-and-bagging-tree-classifier-95", "kernel_id": "23528164"}, {"ref": "bibhabasumohapatra/tabnet-attempt", "kernel_id": "23413776"}, {"ref": "bibhabasumohapatra/torch-nn-tps-2022-new-year", "kernel_id": "23119896"}, {"ref": "abanobmorgan/xgboost-tabular-playground", "kernel_id": "23491510"}, {"ref": "waizaidoc/tabular-playground", "kernel_id": "23401305"}, {"ref": "mirenaborisova/fork-of-tabular-playground-dec-2021-01", "kernel_id": "23013894"}, {"ref": "skloveyyp/tps-dec-2021-simple-ensemble-public-notebooks", "kernel_id": "23069726"}, {"ref": "teckmengwong/tps21dec-softmaxclassification", "kernel_id": "23403752"}, {"ref": "adamwurdits/tps-12-2021-kneighbors", "kernel_id": "23004192"}, {"ref": "etiennepinclaret/tps-dec-lgbm-optuna-tuning", "kernel_id": "23083684"}, {"ref": "pourchot/tps-12-simple-nn-with-skip-connection", "kernel_id": "23102374"}, {"ref": "pythonash/parallel-strategy-through-deep-learning-0-956", "kernel_id": "23435089"}, {"ref": "pythonash/a-way-you-can-handle-dataset-simply", "kernel_id": "23391366"}, {"ref": "anjalisrajan/tps-xgb-classifier-score-0-9591", "kernel_id": "23470864"}, {"ref": "vitkishloh228/notebook1c8412169f", "kernel_id": "23449836"}, {"ref": "jhyeonlee/tensorflow-resdnn-playground-dec", "kernel_id": "23271014"}, {"ref": "eugenebee/tps-dec-21-phik-features-eng-pytorch-tabnet", "kernel_id": "23403525"}, {"ref": "aditya01233/ensembling-public-notebooks", "kernel_id": "23239995"}, {"ref": "aditya01233/december-tps-stacking-ensembling-xgb-lgbm-cb", "kernel_id": "23011892"}, {"ref": "jillanisofttech/tps-dec-21-reasonable-xgboost-model", "kernel_id": "23010806"}, {"ref": "jillanisofttech/tps-dec-2021-simple-ensemble-public-notebooks", "kernel_id": "23010916"}, {"ref": "satoshiss/tps-dec-xgb-pseudolabels", "kernel_id": "23031008"}, {"ref": "rhythmcam/optuna-basic-lgbmclassifier-best-model", "kernel_id": "23676180"}, {"ref": "rhythmcam/detect-outlier-py-usage", "kernel_id": "23234005"}, {"ref": "lavrovlavrov/tps-dec-2021", "kernel_id": "23383914"}, {"ref": "rizkykiky/contoh-algoritma-random-forest", "kernel_id": "23393760"}, {"ref": "ambrosm/tpsdec21-12-eliminate-cover-type-4", "kernel_id": "23044162"}, {"ref": "yuyougnchan/tps-dec-cat-boost-solution-0-95500", "kernel_id": "23006536"}, {"ref": "mkt0309/tps-dec-2021-simple-ensemble-public-notebooks", "kernel_id": "23413142"}, {"ref": "lehaaa1/dec-2021-tps", "kernel_id": "23488309"}, {"ref": "zestar75/notebook28bc4fc1ae", "kernel_id": "23413410"}, {"ref": "mastmustu/forest-cover-type-dec-2021-playground", "kernel_id": "24518882"}, {"ref": "mastmustu/tps-dec2021-forest-cover-type-using-decision-tree", "kernel_id": "24572542"}, {"ref": "p7476762/deep-learning-prediction-eda-features", "kernel_id": "24126053"}, {"ref": "arindamroy23/practice", "kernel_id": "24128204"}, {"ref": "gulerkaya/tps-dec-2021-neural-nets", "kernel_id": "24238313"}, {"ref": "erofeevgleb/dec-2021", "kernel_id": "24523501"}, {"ref": "nabilkazi/forest-cover-type-prediction-using-dtc-rfc", "kernel_id": "24598069"}, {"ref": "takaakiminato/simple-decisiontreeclassifier-model", "kernel_id": "24119620"}, {"ref": "cesarhiguitaidata/pt-dm-2-op-1-a0e5ea", "kernel_id": "24790230"}, {"ref": "afi1289/comprehensive-plotly", "kernel_id": "26630611"}, {"ref": "mahmoudsaeed99/cover-type-prediction", "kernel_id": "26058751"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "sohamndeshmukh/tabular-playground-series-dec-2021", "kernel_id": "59918397"}, {"ref": "fakirmohanpatra7/tabular-playground", "kernel_id": "64287165"}, {"ref": "rahmasleam/tabular-playground-series-using-ann", "kernel_id": "66234226"}, {"ref": "abduulrahmankhalid/forest-cover-prediction-mlps-to-resnets-95-63", "kernel_id": "91391886"}]}
{"competition_id": "28016", "kernels": [{"ref": "marayaf/taller1-pytorch", "kernel_id": "17211991"}]}
{"competition_id": "28023", "kernels": []}
{"competition_id": "28027", "kernels": []}
{"competition_id": "29028", "kernels": [{"ref": "osentmarti/regresi-n-log-stica-en-python", "kernel_id": "19075071"}]}
{"competition_id": "29030", "kernels": []}
{"competition_id": "29035", "kernels": []}
{"competition_id": "29041", "kernels": []}
{"competition_id": "29042", "kernels": []}
{"competition_id": "29043", "kernels": []}
{"competition_id": "29044", "kernels": []}
{"competition_id": "29053", "kernels": []}
{"competition_id": "29055", "kernels": []}
{"competition_id": "29056", "kernels": []}
{"competition_id": "29066", "kernels": []}
{"competition_id": "29067", "kernels": []}
{"competition_id": "29070", "kernels": [{"ref": "athosdamiani/exemplo-de-submiss-o", "kernel_id": "17111504"}, {"ref": "athosdamiani/submiss-o", "kernel_id": "17111548"}, {"ref": "rodrigotributino/regressao-logistica-lasso-rodrigotributino", "kernel_id": "17885304"}, {"ref": "marwincarmo/adult-income-tidymodels", "kernel_id": "17645922"}, {"ref": "rafaelaiellobomfim/notebook-rafaelaiello", "kernel_id": "17649544"}]}
{"competition_id": "29071", "kernels": []}
{"competition_id": "29073", "kernels": [{"ref": "mikhailvakhmenin/ai-academy-dota-2", "kernel_id": "19697599"}]}
{"competition_id": "29076", "kernels": []}
{"competition_id": "29086", "kernels": []}
{"competition_id": "29087", "kernels": []}
{"competition_id": "29101", "kernels": []}
{"competition_id": "29104", "kernels": []}
{"competition_id": "29105", "kernels": []}
{"competition_id": "29106", "kernels": []}
{"competition_id": "29108", "kernels": []}
{"competition_id": "29112", "kernels": []}
{"competition_id": "29123", "kernels": []}
{"competition_id": "29130", "kernels": []}
{"competition_id": "29131", "kernels": []}
{"competition_id": "29142", "kernels": []}
{"competition_id": "29143", "kernels": []}
{"competition_id": "29144", "kernels": []}
{"competition_id": "29146", "kernels": []}
{"competition_id": "29148", "kernels": []}
{"competition_id": "29149", "kernels": []}
{"competition_id": "29150", "kernels": []}
{"competition_id": "29166", "kernels": []}
{"competition_id": "29172", "kernels": []}
{"competition_id": "29173", "kernels": [{"ref": "joocheol/how-to-read-and-save-qrm", "kernel_id": "17478903"}, {"ref": "joocheol/regression-approach-qrm", "kernel_id": "17479011"}, {"ref": "joocheol/cnn-approach-qrm", "kernel_id": "17479051"}, {"ref": "joocheol/rnn-approach-qrm", "kernel_id": "17479096"}]}
{"competition_id": "29174", "kernels": [{"ref": "joocheol/how-to-read-and-save", "kernel_id": "17478186"}, {"ref": "joocheol/regression-approach", "kernel_id": "17478331"}, {"ref": "joocheol/cnn-approach", "kernel_id": "17478521"}, {"ref": "joocheol/rnn-approach", "kernel_id": "17478691"}, {"ref": "hyejinch/final-final", "kernel_id": "17471248"}, {"ref": "hyejinch/0605-rnn", "kernel_id": "17460824"}, {"ref": "natloge/fork-of-notebook121b68b7c8", "kernel_id": "21644597"}]}
{"competition_id": "29175", "kernels": [{"ref": "joocheol/how-to-read-and-save-rc599", "kernel_id": "17478972"}, {"ref": "joocheol/regression-approach-rc599", "kernel_id": "17479031"}, {"ref": "joocheol/cnn-approach-rc599", "kernel_id": "17479072"}, {"ref": "joocheol/rnn-approach-rc599", "kernel_id": "17479107"}]}
{"competition_id": "29176", "kernels": []}
{"competition_id": "29178", "kernels": []}
{"competition_id": "29179", "kernels": [{"ref": "shunming/fasterrcnn-detection", "kernel_id": "17412053"}, {"ref": "shunming/yolov4-detction", "kernel_id": "17481843"}]}
{"competition_id": "29193", "kernels": [{"ref": "zhreshold/autogluon-vision-0-96-with-15-lines", "kernel_id": "17939693"}, {"ref": "sheepwang/leaf-classification-eda-model", "kernel_id": "17856458"}, {"ref": "nekokiku/simple-resnet-baseline", "kernel_id": "17349843"}, {"ref": "hughie00/0-98568-classify-resnest", "kernel_id": "17983031"}, {"ref": "wangtf96/0-98909-5th-place-solution", "kernel_id": "17370200"}, {"ref": "yichaohan/9th-classify-leaves-11-models", "kernel_id": "17993564"}, {"ref": "crazywinds/copy-classes", "kernel_id": "17702576"}, {"ref": "seefun/seefun-baseline-using-torchutils-lb0-987", "kernel_id": "18087681"}, {"ref": "sheepwang/image-preprocessing-comparsion", "kernel_id": "18057863"}, {"ref": "liyihang970828/19th-credit-to-seefun", "kernel_id": "18025504"}, {"ref": "wjfearth/8th-classify-leaves-with-tpu-5hrs-0-989", "kernel_id": "18263917"}, {"ref": "hughie00/fork-of-resnest", "kernel_id": "18114935"}, {"ref": "hughie00/hughie", "kernel_id": "18114982"}, {"ref": "charlesyyun/7th-resnest-resnext-densenet-0-98840", "kernel_id": "18114747"}, {"ref": "liangliuai/20th-liuliang", "kernel_id": "18137153"}, {"ref": "wanglinchen/12th-private-score-0-98704-reference-to-seefun", "kernel_id": "18125262"}, {"ref": "staynight/classify-leaves", "kernel_id": "18595503"}, {"ref": "kxlyhit/13th-code-and-summary", "kernel_id": "18113209"}, {"ref": "fuziwang/17th-reference-to-seefun", "kernel_id": "18273550"}, {"ref": "baishaothu/14th-classify-leaves-reference-to-xichao-wang", "kernel_id": "18224334"}, {"ref": "ltfall/classify-leaves", "kernel_id": "24728168"}, {"ref": "nattoli/simple-resnet-resnext-baseline", "kernel_id": "25010244"}, {"ref": "yamger/classify-leaves", "kernel_id": "26822075"}, {"ref": "tonyypzhang/resnet-baseline-train-on-colab", "kernel_id": "27231153"}, {"ref": "diyouchen/limuyezi", "kernel_id": "28562915"}, {"ref": "leyoubaloy/competition-classifyleaves", "kernel_id": "33664728"}, {"ref": "monday1234/simple-cnn-baseline", "kernel_id": "33218500"}, {"ref": "kazuhani/resnext", "kernel_id": "35628789"}, {"ref": "zhongyanmin/classify-leaves-using-resnet", "kernel_id": "36748968"}, {"ref": "tecnal/notebook4e5d94ca5b", "kernel_id": "36913629"}, {"ref": "tecnal/notebookb9d861d209", "kernel_id": "36912856"}, {"ref": "joinjeffrey/classify-leaves-resnet18", "kernel_id": "38965241"}, {"ref": "luoyw0207/classify-leaf", "kernel_id": "39913729"}, {"ref": "lifeindreamhouse/notebookfdd195ac8b", "kernel_id": "40192213"}, {"ref": "zachary666/classify-leaf", "kernel_id": "42907900"}, {"ref": "licgsg/classify-leaves-resnet18", "kernel_id": "43320489"}, {"ref": "aliawran/leaf-train-v1", "kernel_id": "44203788"}, {"ref": "liuyang451/simple-resnet-baseline", "kernel_id": "48630815"}, {"ref": "cnily03/classify-leaves", "kernel_id": "49191620"}, {"ref": "zdshqo/classify-leaves-resnet18", "kernel_id": "51958464"}, {"ref": "kaichengni/leaves-classification", "kernel_id": "53094451"}, {"ref": "cmiliu/resnet-classify", "kernel_id": "53644987"}, {"ref": "pcd1122/pcd-s-leafclassify", "kernel_id": "54415251"}, {"ref": "ahmedeqbal/simple-resnet-baseline", "kernel_id": "56144020"}, {"ref": "hygaokaggle/classify-leaves", "kernel_id": "57431798"}, {"ref": "baolongwarrior/leaf-classify", "kernel_id": "59452669"}, {"ref": "factral/image-preprocessing-comparsion", "kernel_id": "61057291"}, {"ref": "oriharaizayayo/d2l-chapter-30", "kernel_id": "61454314"}, {"ref": "wmseei/resnet50-baseline", "kernel_id": "67767600"}, {"ref": "qiaozhiling/leaves-calssification", "kernel_id": "69152062"}, {"ref": "haiqintang/efficientnet-b0", "kernel_id": "69892904"}, {"ref": "zkseqaq/leaves-classify", "kernel_id": "77104721"}, {"ref": "mineft/resnet50", "kernel_id": "77844760"}, {"ref": "wangdark/classify-leaves-resnet", "kernel_id": "79255782"}, {"ref": "maomoon/submission", "kernel_id": "80700433"}, {"ref": "zhangwei82323/submission", "kernel_id": "80716091"}, {"ref": "badaimimiwiko/simple-resnet-baseline", "kernel_id": "83022532"}, {"ref": "yiranyan/classify-resnest", "kernel_id": "85844292"}, {"ref": "kotapioka/resnet", "kernel_id": "86202913"}, {"ref": "cchengjuan/classify-leaves", "kernel_id": "121899530"}, {"ref": "liuchendawang/b34d8", "kernel_id": "127844792"}]}
{"competition_id": "29195", "kernels": []}
{"competition_id": "29197", "kernels": [{"ref": "evilpsycho42/boolart-user-behavior-eda", "kernel_id": "17749448"}, {"ref": "niuniujun/boolart-user-behavior-eda", "kernel_id": "46005412"}]}
{"competition_id": "29206", "kernels": []}
{"competition_id": "29212", "kernels": [{"ref": "kuantinglai/109-2-uta-q-learning-4-frozen-lake", "kernel_id": "17302900"}]}
{"competition_id": "29235", "kernels": []}
{"competition_id": "29260", "kernels": []}
{"competition_id": "29275", "kernels": []}
{"competition_id": "29282", "kernels": []}
{"competition_id": "29286", "kernels": [{"ref": "vipbze/how-to-load-dataset-and-save-prediction-result", "kernel_id": "17413504"}]}
{"competition_id": "29309", "kernels": []}
{"competition_id": "29318", "kernels": []}
{"competition_id": "29320", "kernels": []}
{"competition_id": "29332", "kernels": [{"ref": "thisray/01-example-checkdata", "kernel_id": "17451825"}, {"ref": "evanyu800112/test-end2end", "kernel_id": "17517714"}, {"ref": "naratipboonbanyen/class3-catdog-classify", "kernel_id": "18613830"}]}
{"competition_id": "29335", "kernels": []}
{"competition_id": "29339", "kernels": []}
{"competition_id": "29343", "kernels": [{"ref": "ambarish/sliced02-using-lgbm", "kernel_id": "18626600"}, {"ref": "ambarish/sliced02-using-dnn", "kernel_id": "18614885"}, {"ref": "mobijoker/tidymodels-with-glmnet-on-sliced-s01e02-data", "kernel_id": "18706633"}, {"ref": "gomes555/r-opt-resampling-imbalanced-data-workflowsets", "kernel_id": "18028936"}]}
{"competition_id": "29347", "kernels": []}
{"competition_id": "29352", "kernels": [{"ref": "pratinavseth/engima-2", "kernel_id": "17714505"}]}
{"competition_id": "29353", "kernels": []}
{"competition_id": "29357", "kernels": []}
{"competition_id": "29363", "kernels": []}
{"competition_id": "29365", "kernels": []}
{"competition_id": "29366", "kernels": []}
{"competition_id": "29375", "kernels": [{"ref": "darraghdog/week07-lab-fork-me", "kernel_id": "17595069"}, {"ref": "darraghdog/beat-the-benchmark", "kernel_id": "17521396"}, {"ref": "dsptlp/bird-1", "kernel_id": "17881858"}]}
{"competition_id": "29377", "kernels": []}
{"competition_id": "29381", "kernels": []}
{"competition_id": "29385", "kernels": []}
{"competition_id": "29390", "kernels": []}
{"competition_id": "29392", "kernels": []}
{"competition_id": "29405", "kernels": [{"ref": "raksh710/shark-tank-analysis-pvt-leaderboard-rank-1-score", "kernel_id": "34026988"}]}
{"competition_id": "29414", "kernels": []}
{"competition_id": "29416", "kernels": []}
{"competition_id": "29421", "kernels": [{"ref": "duydung271/road-signs-with-softmax", "kernel_id": "17901769"}, {"ref": "duydung271/road-sign-with-deep-learning", "kernel_id": "18172113"}, {"ref": "duydung271/road-signs-with-knn", "kernel_id": "18015387"}, {"ref": "b19dccn709nguynthuyn/traffic-signs-cnn", "kernel_id": "18249082"}]}
{"competition_id": "29433", "kernels": []}
{"competition_id": "29434", "kernels": []}
{"competition_id": "29441", "kernels": []}
{"competition_id": "29443", "kernels": []}
{"competition_id": "29464", "kernels": [{"ref": "geilson/i2a2-2021-text-classification-lstm", "kernel_id": "18450534"}, {"ref": "lucaskiraly00/i2a2-2021-text-classification-linear-svc", "kernel_id": "18142314"}]}
{"competition_id": "29467", "kernels": []}
{"competition_id": "29476", "kernels": []}
{"competition_id": "29477", "kernels": [{"ref": "nickwan/not-real-pojjies", "kernel_id": "42340943"}]}
{"competition_id": "29478", "kernels": []}
{"competition_id": "29483", "kernels": []}
{"competition_id": "29485", "kernels": []}
{"competition_id": "29486", "kernels": []}
{"competition_id": "29489", "kernels": []}
{"competition_id": "29493", "kernels": [{"ref": "joshthomashills/data-exploration", "kernel_id": "23953373"}]}
{"competition_id": "29496", "kernels": []}
{"competition_id": "29497", "kernels": []}
{"competition_id": "29504", "kernels": []}
{"competition_id": "29505", "kernels": [{"ref": "logunovalex/itmo-aed-main-efficientnet-amsoftmax", "kernel_id": "18276388"}]}
{"competition_id": "29514", "kernels": []}
{"competition_id": "29518", "kernels": []}
{"competition_id": "29523", "kernels": []}
{"competition_id": "29525", "kernels": []}
{"competition_id": "29531", "kernels": []}
{"competition_id": "29532", "kernels": []}
{"competition_id": "29533", "kernels": [{"ref": "luisfuni/g6luisfimagenesfinalv3", "kernel_id": "18629935"}]}
{"competition_id": "29536", "kernels": []}
{"competition_id": "29552", "kernels": []}
{"competition_id": "29555", "kernels": []}
{"competition_id": "29561", "kernels": [{"ref": "cselmo/notebook-de-base", "kernel_id": "17845852"}]}
{"competition_id": "29563", "kernels": []}
{"competition_id": "29568", "kernels": []}
{"competition_id": "29569", "kernels": [{"ref": "houcembenmansour/anomalydetection-93-acc", "kernel_id": "17963566"}, {"ref": "muslimxudoyberdiyev/anomaly-detection", "kernel_id": "17938596"}, {"ref": "dhairyashah23/anaomly", "kernel_id": "17954196"}, {"ref": "ayushanand01/absolute-difference-based-svm", "kernel_id": "17909326"}, {"ref": "swathishankar/anomaly-detection", "kernel_id": "20549212"}, {"ref": "salvadorhs/anomaly-detection-using-balanced-bagging-models", "kernel_id": "32329480"}, {"ref": "thongvhoang/absolute-difference-based-svm", "kernel_id": "39177631"}, {"ref": "priyankacheruku/supervised-anomaly-detection", "kernel_id": "43554732"}, {"ref": "saikatsaha798/celebal-anomaly-detection", "kernel_id": "62491558"}, {"ref": "danielgurwindas/anomaly-detection-daniel", "kernel_id": "82950764"}]}
{"competition_id": "29574", "kernels": []}
{"competition_id": "29576", "kernels": [{"ref": "robertomoral/notebook10a5678b2d", "kernel_id": "18931557"}, {"ref": "andresgonzalez1/notebook-final-andres", "kernel_id": "19095339"}]}
{"competition_id": "29578", "kernels": [{"ref": "youngi0901/notebookcf45960c4e", "kernel_id": "17866929"}]}
{"competition_id": "29587", "kernels": []}
{"competition_id": "29594", "kernels": [{"ref": "alexxanderlarko/lgbm-sel-feat-1", "kernel_id": "20874467"}, {"ref": "konradb/tabnet-end-to-end-starter", "kernel_id": "20861073"}, {"ref": "abhishek/always-splitting-data-first", "kernel_id": "20806650"}, {"ref": "alexryzhkov/lightautoml-continuer", "kernel_id": "20832108"}, {"ref": "lucamassaron/rescaling-layer-for-discrete-output-in-tensorflow", "kernel_id": "20987709"}, {"ref": "n3n77i/kaggle-breathdata", "kernel_id": "20848853"}, {"ref": "albertferre/timeserieskmeans-clustering", "kernel_id": "20998531"}, {"ref": "danofer/ts-windows-feature-engineering-ventilators", "kernel_id": "20794365"}, {"ref": "optimo/the-beauty-of-tabnet-a-simple-baseline", "kernel_id": "20856310"}, {"ref": "steubk/tensorflow-bidirectional-lstm-custom-mae-loss", "kernel_id": "20907195"}, {"ref": "siero5335/basic-eda-ventilator", "kernel_id": "20732098"}, {"ref": "tolgadincer/tensorflow-bidirectional-lstm-0-234", "kernel_id": "20809432"}, {"ref": "usharengaraju/eda-fe-tabnet-weights-and-biases", "kernel_id": "20789749"}, {"ref": "artgor/ventilator-pressure-prediction-eda-fe-and-models", "kernel_id": "20735907"}, {"ref": "gauravbrills/ventilator-pressure-prediction-autogluon-fiddle", "kernel_id": "20822600"}, {"ref": "gauravbrills/vpp-lgbm-crack", "kernel_id": "20936310"}, {"ref": "nicapotato/ventilator-pressure-eda-simple-heuristics", "kernel_id": "20760955"}, {"ref": "currypurin/ventilator-pressure-simple-eda", "kernel_id": "20727762"}, {"ref": "ilialar/ventilator-pressure-eda-and-baseline", "kernel_id": "20760469"}, {"ref": "msafi04/google-brain-ventilator-pressure-prediction-gpu", "kernel_id": "20726965"}, {"ref": "atamazian/ventilator-custom-loss-in-tensorflow", "kernel_id": "20926718"}, {"ref": "pliptor/ventilator-simple-averaging-sanity-check", "kernel_id": "20944548"}, {"ref": "drastamat/lgbm-starter", "kernel_id": "20838137"}, {"ref": "snnclsr/a-dummy-approach-to-improve-your-score-postprocess", "kernel_id": "20959276"}, {"ref": "dlobatog/tpu-lstm-shifting-expanding-rolling-ewm", "kernel_id": "20953007"}, {"ref": "saravanakumar35/ventilator-pressure-prediction", "kernel_id": "20804349"}, {"ref": "dignil/ventilator-google-brain-challenge", "kernel_id": "20900789"}, {"ref": "kritidoneria/template-automated-eda-ventilator-pressure", "kernel_id": "20737230"}, {"ref": "kensit/improvement-base-on-tensor-bidirect-lstm-0-173", "kernel_id": "20826223"}, {"ref": "ashishtop/baseline", "kernel_id": "20842508"}, {"ref": "docxian/google-brain-ventilator-pressure-starter", "kernel_id": "20732727"}, {"ref": "samkupferschmid/lstm-baseline-tensorflow-keras", "kernel_id": "20816749"}, {"ref": "dienhoa/ventillator-fastai-lb-0-168-no-kfolds-no-blend", "kernel_id": "20998683"}, {"ref": "takamichitoda/ventilator-train-transformer", "kernel_id": "20848791"}, {"ref": "takamichitoda/ventilator-1dcnn-lstm", "kernel_id": "20876268"}, {"ref": "tenffe/finetune-of-tensorflow-bidirectional-lstm", "kernel_id": "20852722"}, {"ref": "ppjanka/2021-gbrain-ventilpress", "kernel_id": "20947521"}, {"ref": "hamditarek/google-vp-prediction-xgbregressor-gpu", "kernel_id": "20724190"}, {"ref": "yasufuminakama/ventilator-pressure-lstm-starter", "kernel_id": "20746733"}, {"ref": "cdeotte/ensemble-folds-with-median-0-153", "kernel_id": "20964637"}, {"ref": "cdeotte/rapids-knn-and-kmeans-0-600", "kernel_id": "20936147"}, {"ref": "boredmgr/ventilator-time-series", "kernel_id": "20947498"}, {"ref": "craigmthomas/gb-vpp-stacked-starter", "kernel_id": "20728620"}, {"ref": "theoviel/deep-learning-starter-simple-lstm", "kernel_id": "20739658"}, {"ref": "pratikskarnik/time-series-lstm-keras", "kernel_id": "20783052"}, {"ref": "coder247/simple-xgboost-solution-for-beginner-s", "kernel_id": "20726015"}, {"ref": "natthasit/ventilator-pressure-prediction", "kernel_id": "20743788"}, {"ref": "get2jawa/simple-eda-with-xgboost-for-beginners", "kernel_id": "20899837"}, {"ref": "werooring/ventilator-pressure-prediction-eda-starter", "kernel_id": "20864338"}, {"ref": "rdboyes/r-eda-and-simple-model", "kernel_id": "20788844"}, {"ref": "jaredsavage/ventilator-pressure-prediction-with-r", "kernel_id": "20795534"}, {"ref": "manabendrarout/single-bi-lstm-model-pressure-predict-gpu-infer", "kernel_id": "20889835"}, {"ref": "asimzahid/google-ventilator-pressure-prediction-eda", "kernel_id": "20747494"}, {"ref": "susnato/ensemble-of-public-submissions", "kernel_id": "20823175"}, {"ref": "susnato/lgbm-starter", "kernel_id": "20737488"}, {"ref": "susnato/lstm-starter", "kernel_id": "20784341"}, {"ref": "johngang/google-brain-lgb-xgb-cb", "kernel_id": "20839554"}, {"ref": "huyquoctrinh/gru-sample", "kernel_id": "20767348"}, {"ref": "navid1993/ventilator-pressure-prediction-bidirectional-lstm", "kernel_id": "20956157"}, {"ref": "lys620/eda-google-brain-graph", "kernel_id": "20734395"}, {"ref": "qq1623620766/finetune-of-tensorflow-bidirectional-lstm", "kernel_id": "20980135"}, {"ref": "jarupula/google-ventilator-pressure-prediction-lstm", "kernel_id": "20765693"}, {"ref": "abhilashhemaraj/mark-6", "kernel_id": "20740698"}, {"ref": "sauravdeb98/ventilator-pressure", "kernel_id": "20741391"}, {"ref": "mistag/ventilator-feature-engineering", "kernel_id": "20948384"}, {"ref": "mistag/optuna-optimized-keras-base-model", "kernel_id": "20901682"}, {"ref": "mistag/keras-model-tuning-with-optuna", "kernel_id": "20901214"}, {"ref": "patrick0302/add-lag-u-in-as-new-feat", "kernel_id": "20731984"}, {"ref": "patrick0302/add-last-u-in-as-new-feat", "kernel_id": "20730909"}, {"ref": "mdashfaquekhalid/tensorflow-bidirectional-lstm", "kernel_id": "20828971"}, {"ref": "mpwolke/positive-pressure-ventilation", "kernel_id": "20767451"}, {"ref": "aimanlim0/transformer-lstm", "kernel_id": "20963075"}, {"ref": "shinichikanehira/ventilator-pressure-lightgbm", "kernel_id": "20737762"}, {"ref": "shinichikanehira/ventilator-pressure-eda", "kernel_id": "20733583"}, {"ref": "drcapa/google-brain-starter", "kernel_id": "20724053"}, {"ref": "giobbu/ventilator-tf-data-dataset-tensorflow", "kernel_id": "20947818"}, {"ref": "t88take/searching-similar-u-in-using-cosine-similarity", "kernel_id": "20987044"}, {"ref": "hamzaghanmi/data-visualization-using-autoviz", "kernel_id": "20743722"}, {"ref": "hamzaghanmi/tensorflow-bi-lstm-with-tpu", "kernel_id": "20831206"}, {"ref": "marutama/eda-about-u-in", "kernel_id": "20906353"}, {"ref": "marutama/eda-about-pressure-part-2", "kernel_id": "20952126"}, {"ref": "marutama/eda-about-time-step-and-u-out", "kernel_id": "20763643"}, {"ref": "rajsengo/beginner-eda-ventilator-pressure-prediction", "kernel_id": "20725049"}, {"ref": "masato114/vp-wavenet-training-gpu", "kernel_id": "20896780"}, {"ref": "tetsuya777/japanease-google-brain-eda", "kernel_id": "20881648"}, {"ref": "columbia2131/speed-up-featur-extraction-diff-rolling", "kernel_id": "20980472"}, {"ref": "bibhash123/ventilator-pressure-prediction-insights", "kernel_id": "20733521"}, {"ref": "mrud17/basic-xgboost-with-gpu-google-brain", "kernel_id": "20920183"}, {"ref": "squarex/ventilator-pressure-prediction-lgb-eda", "kernel_id": "20759979"}, {"ref": "squarex/ventilator-pressure-prediction-lgb", "kernel_id": "20868111"}, {"ref": "lucasmorin/time-series-agregation-functions", "kernel_id": "20793532"}, {"ref": "carlmcbrideellis/ventilator-pressure-eda-and-simple-submission", "kernel_id": "20724436"}, {"ref": "carlmcbrideellis/temporal-convolutional-network-using-keras-tcn", "kernel_id": "20891720"}, {"ref": "masuken1994/google-brain-masuda", "kernel_id": "20777222"}, {"ref": "tensorchoko/google-brain-eda", "kernel_id": "20881378"}, {"ref": "lukaszborecki/ventilator-ts", "kernel_id": "20739412"}, {"ref": "mohitsahal/soft-voting-ventilator-pressure-prediction", "kernel_id": "20760638"}, {"ref": "junichiromorita/ventilator-pressure-preliminary-eda-en-jpn", "kernel_id": "20726382"}, {"ref": "mrutyunjaybiswal/vpp-dual-head-regression-median-postprocessing", "kernel_id": "20994590"}, {"ref": "akihironomura/google-brain-lightgbm-optuna", "kernel_id": "20736464"}, {"ref": "tauilabdelilah/need-help-in-mask-loss-function-keras-loss", "kernel_id": "20930138"}, {"ref": "ramkiran55devireddy/ventilator-press-prediction-using-simpleregression", "kernel_id": "20993381"}, {"ref": "haroldmei/albert-model-for-time-series-data", "kernel_id": "20942435"}, {"ref": "haroldmei/data-visualisation", "kernel_id": "20768254"}, {"ref": "yasserhessein/ventilator-pressure-prediction-using-eda-dl", "kernel_id": "20748017"}, {"ref": "kalilurrahman/google-ventilator-lazy-prediction-eda", "kernel_id": "20830448"}, {"ref": "ishandutta/ventilator-eda-understanding-model-w-b", "kernel_id": "20865025"}, {"ref": "kaitohonda/lstm-begginer", "kernel_id": "20906008"}, {"ref": "kaitohonda/beginner-lgbm", "kernel_id": "20728917"}, {"ref": "bextuychiev/beautiful-umap-tutorial-on-100-dimensional-data", "kernel_id": "20761982"}, {"ref": "ranjeetshrivastav/ventilator-pressure-prediction-xgboost", "kernel_id": "20760346"}, {"ref": "trinayanbharadwaj/google-brain-ventilator-pressure-prediction-0-353", "kernel_id": "20990394"}, {"ref": "kodaitakahashi/bidirectional-lstm-0-173-stratifiedgroupekfold", "kernel_id": "20881177"}, {"ref": "ahmedaffan789/google-brain-eda-lstm-bi-directional", "kernel_id": "20944139"}, {"ref": "muki2003/ventilator-pressure-prediction-tpu", "kernel_id": "20841891"}, {"ref": "muki2003/lstm-pressure-prediction-gpu", "kernel_id": "20961605"}, {"ref": "takumindesu/simple-lightgbm", "kernel_id": "20935666"}, {"ref": "takumindesu/begginer-eda", "kernel_id": "20730893"}, {"ref": "towhidultonmoy/lgbm-on-cpu-optuna-tuning", "kernel_id": "20821088"}, {"ref": "towhidultonmoy/ventilator-eda", "kernel_id": "20914194"}, {"ref": "towhidultonmoy/lgbm-google-brain-ventilator-pressure-prediction", "kernel_id": "20911591"}, {"ref": "sebastienmonfort/notebookcea05140f2", "kernel_id": "20894862"}, {"ref": "shreyasajal/gb-vpp-rnn-w-b-hyperparameter-sweeps-pytorch", "kernel_id": "20784267"}, {"ref": "manojkumars00/ventilator-pressure-prediction-eda", "kernel_id": "20768747"}, {"ref": "manojkumars00/ventilator-pressure-prediction", "kernel_id": "20800344"}, {"ref": "manojkumars00/ventilator-pressure-predictor-tpu", "kernel_id": "20837421"}, {"ref": "bakar31/vpp-basic-eda-and-baseline-model", "kernel_id": "20731505"}, {"ref": "babuyashwanth/ventilator-pressure", "kernel_id": "20908938"}, {"ref": "munumbutt/tensorflow-bidirectional-lstm-with-tpu", "kernel_id": "20818737"}, {"ref": "tracyporter/ventilator-pytorch-av-linear-regression", "kernel_id": "20765246"}, {"ref": "dellingson/ventilator-pressure-dnn", "kernel_id": "20919989"}, {"ref": "kavehshahhosseini/google-brain-tensorflow-simple-lstm-start", "kernel_id": "20788480"}, {"ref": "zhaodianwen/simple-eda-beginner", "kernel_id": "20799075"}, {"ref": "barangizagiza/lightgbm-with-optuna-tunercv-gpu-0-468", "kernel_id": "20874975"}, {"ref": "barangizagiza/bi-lstm-baseline-0-559", "kernel_id": "20875238"}, {"ref": "mohammadkashifunique/google-brain-lightgbm-optuna", "kernel_id": "20813227"}, {"ref": "mohammadkashifunique/google-brain-xgboost-and-optuna", "kernel_id": "20793031"}, {"ref": "hamzafarooq50/tensorflow-bidirectional-lstm-0-234", "kernel_id": "20824426"}, {"ref": "tahsinulislam/google-brain-v5-simple-lgbm-cv-0-452-lb-0-664", "kernel_id": "20813959"}, {"ref": "tahsinulislam/google-brain-v4-simple-lgbm-cv-0-507-lb-0-765", "kernel_id": "20806161"}, {"ref": "tahsinulislam/google-brain-v2-simple-xgboost-lb-1-01-cv-0-61", "kernel_id": "20766890"}, {"ref": "deepak915/ventilator-pressure-predictor-hope-it-works-well", "kernel_id": "20846579"}, {"ref": "mst8823/google-brain-lightgbm-baseline", "kernel_id": "20743451"}, {"ref": "nityasevak/a-simple-transformer-model-to-the-rescue", "kernel_id": "20821960"}, {"ref": "shinyatakaramoto/simple-lightgbm", "kernel_id": "20787292"}, {"ref": "shinyatakaramoto/simple-lightgbm-optuna", "kernel_id": "20833040"}, {"ref": "yus002/gb-blend", "kernel_id": "20738854"}, {"ref": "yus002/9-22-eda", "kernel_id": "20724685"}, {"ref": "edwintyh/ventilator-pressure-quick-eda-dummy-baseline", "kernel_id": "20725654"}, {"ref": "edwintyh/ventilator-pressure-autogluon", "kernel_id": "20739274"}, {"ref": "luongduongminh/ventilator-pressure", "kernel_id": "20928026"}, {"ref": "ryanbarretto/tensorflow-lstm-baseline", "kernel_id": "20787763"}, {"ref": "yasuosuzuki/various-feature-and-lightgbm", "kernel_id": "20731510"}, {"ref": "wabinab/ventpressure3-final", "kernel_id": "20827913"}, {"ref": "wabinab/ventpressure1", "kernel_id": "20757811"}, {"ref": "wabinab/ventpressure2", "kernel_id": "20776716"}, {"ref": "swaralipibose/eda-on-this-dataset-with-observations-preparation", "kernel_id": "20929154"}, {"ref": "anaxmenobrito/lung-pressure-competition-pytorch-version", "kernel_id": "20792580"}, {"ref": "official6pack/basic-idea-with-xgboost-hyperparameters-684", "kernel_id": "20743780"}, {"ref": "dlaststark/gb-vpp-why-so-serious", "kernel_id": "20965285"}, {"ref": "mohamedbakrey/ml-for-vpp-pred-by-ml-and-dl", "kernel_id": "20841795"}, {"ref": "dmitryuarov/ventilator-pressure-eda-lstm-0-189", "kernel_id": "20762660"}, {"ref": "kooose/anomaly-detection-by-clustering", "kernel_id": "20778159"}, {"ref": "kooose/search-for-similar-breath-id", "kernel_id": "20801255"}, {"ref": "kooose/eda-by-clustering", "kernel_id": "20803424"}, {"ref": "ryotaichikawa/ventilator-pressure-simple-eda-lightgbm-model", "kernel_id": "20737468"}, {"ref": "muhammadimran112233/google-brain-ventilator-pressure-prediction", "kernel_id": "20819740"}, {"ref": "mlevytskyi/simple-xgboost-randomizedsearchcv", "kernel_id": "20869646"}, {"ref": "rhythmcam/pycaret-ventilator-pressure", "kernel_id": "20740131"}, {"ref": "danielbruintjies/gbvp-prediction", "kernel_id": "20871321"}, {"ref": "sandeep2812/google-ventilator-pressure-sample-submission", "kernel_id": "20859861"}, {"ref": "sandeep2812/tensorflow-bidirectional-lstm-0-173", "kernel_id": "20857809"}, {"ref": "sandeep2812/lazypredict-17models-google-ventilator-pressure", "kernel_id": "20833176"}, {"ref": "sandeep2812/groupkfold-lightgbm-google-ventilation-pressure", "kernel_id": "20801343"}, {"ref": "sandeep2812/clustering-google-brain-ventilationpressure", "kernel_id": "20792011"}, {"ref": "theamitnikhade/pressure-predition-gru-tpu-xgboot-cat-lgbm", "kernel_id": "20733178"}, {"ref": "theamitnikhade/cnn-lstm-presure-prediction", "kernel_id": "20868939"}, {"ref": "sagarikajadon/gb-vpp-pytorch-lstm-baseline", "kernel_id": "20927782"}, {"ref": "junhyeok99/tensorflow", "kernel_id": "20766999"}, {"ref": "junhyeok99/simple-xgboost-for-beginner", "kernel_id": "20767104"}, {"ref": "ethanhu8093/notebook6edf81cd91", "kernel_id": "20815773"}, {"ref": "andreylovyagin/examples-of-auto-eda", "kernel_id": "20839394"}, {"ref": "vincenttu/0-157-ts-rolling-window-0-153", "kernel_id": "20939615"}, {"ref": "vincenttu/google-vent-eda", "kernel_id": "20797487"}, {"ref": "shivansh002/lgbm-lover-s", "kernel_id": "20728632"}, {"ref": "shivansh002/i-am-groot-tpu-war", "kernel_id": "20803541"}, {"ref": "whitecat0022/google-brain-knn-for-g-colab-pro-plus-1-814", "kernel_id": "20941712"}, {"ref": "whitecat0022/google-brain-lgbm-optuna-for-g-colab-pro-0-960", "kernel_id": "20950533"}, {"ref": "whitecat0022/google-brain-ventilator-pressure-prediction-knn", "kernel_id": "20903241"}, {"ref": "pritiyadavml/neural-network", "kernel_id": "20981828"}, {"ref": "drsachingupta/xgboost-simple-run-with-autoviz-and-gridsearchcv", "kernel_id": "20735710"}, {"ref": "syerwin/new-ensemble-of-public-notebooks", "kernel_id": "20945209"}, {"ref": "kumudsingh9/g-brain-ventilator-pressure-prediction", "kernel_id": "20938178"}, {"ref": "seraquevence/r-first-nn-ventilator-nn-v01", "kernel_id": "20934738"}, {"ref": "kalaikumarr/automl-pycaret", "kernel_id": "20754677"}, {"ref": "kalaikumarr/google-colab-kaggle-api", "kernel_id": "20859206"}, {"ref": "kalaikumarr/google-vpp-comparing-with-28-models", "kernel_id": "20812110"}, {"ref": "dmitriykolach/some-eda-and-process-visualisation-catboost-preds", "kernel_id": "20795415"}, {"ref": "nikhilsharma24/quick-start-in-r", "kernel_id": "20771426"}, {"ref": "nikhilsharma24/r-data-table-fast-fe-and-h2o-elastic-net", "kernel_id": "20784757"}, {"ref": "kokinishimaki/ventilator-pressure-eda-and-simple-submission", "kernel_id": "20854304"}, {"ref": "renecorrales/fourier-series", "kernel_id": "20753726"}, {"ref": "vmuzhichenko/pressure-prediction-tensorflow-bidirectional-gru", "kernel_id": "20860429"}, {"ref": "shashimo/foolishly-implemented-what-i-learned-in-introml", "kernel_id": "20789345"}, {"ref": "saumilagrawal10/google-brain-ventilator-pressure-prediction", "kernel_id": "20852389"}, {"ref": "qquick/ventilator-eda-visual-correlation-w-pressure", "kernel_id": "20926999"}, {"ref": "oriori4244/tensorflow-bidirectional-lstm", "kernel_id": "20941913"}, {"ref": "theidleman/google-vpp", "kernel_id": "20842262"}, {"ref": "theidleman/silple-nn", "kernel_id": "20909771"}, {"ref": "jeainnykim/deep-learning-starter-simple-lstm", "kernel_id": "20824557"}, {"ref": "lucamassaron/optuna-re-engineering", "kernel_id": "21036572"}, {"ref": "titericz/pid-p-and-pi-reverse-engineer-1", "kernel_id": "21761219"}, {"ref": "zenstat/beginner-linear-regression-example", "kernel_id": "21239877"}, {"ref": "motloch/ventilator-pressure-find-nn-u-in-same-r-c", "kernel_id": "21218087"}, {"ref": "motloch/ventilator-pressure-use-nn-u-in-same-r-c", "kernel_id": "21218663"}, {"ref": "motloch/ventilator-pressure-train-data-exploration", "kernel_id": "21088638"}, {"ref": "motloch/vent-press-sklearn-neighbors", "kernel_id": "21358912"}, {"ref": "motloch/vent-press-sklearn-neighbors-with-kfolds", "kernel_id": "21360205"}, {"ref": "motloch/vent-press-sklearn-neighbors-with-kfold-rc", "kernel_id": "21360979"}, {"ref": "motloch/vpp-test-r-and-c-labelling-calculate", "kernel_id": "21521298"}, {"ref": "motloch/vpp-pip-analysis-and-new-features", "kernel_id": "21550478"}, {"ref": "markpeng/transformer-based-ts-representation-learning", "kernel_id": "21467271"}, {"ref": "steubk/gbvpp-pressure-visualization-the-movie", "kernel_id": "21102985"}, {"ref": "subinek/data-visualization-for-ventilator-pressure-pred", "kernel_id": "21259494"}, {"ref": "tolgadincer/vpp-a-basic-ensembling-technique-with-scipy", "kernel_id": "21446024"}, {"ref": "tolgadincer/vpp-a-basic-ensembling-technique-with-ridgecv", "kernel_id": "21285246"}, {"ref": "alfredomaranca/method-for-tranforming-lung-pressure-to-uin-fft", "kernel_id": "21307742"}, {"ref": "alfredomaranca/rapids-knn-and-kmeans-lung-inspiration-fft", "kernel_id": "21217539"}, {"ref": "hiroueno/implement-groupkfold-for-bidirectional-lstm", "kernel_id": "21115790"}, {"ref": "ninoars/rapids-knn-and-kmeans-0-600", "kernel_id": "21917579"}, {"ref": "tunguz/no-good-terrible-the-worst-submission", "kernel_id": "21644249"}, {"ref": "tunguz/gb-vpp-pulp-fiction-2", "kernel_id": "21480940"}, {"ref": "nishimoto/gb-vpp-keras-classifier-lb-0-186", "kernel_id": "21257728"}, {"ref": "nishimoto/fork-of-new-feature-score-improved", "kernel_id": "21658361"}, {"ref": "group16/1-solution-pid-controller-matching-v1", "kernel_id": "21789685"}, {"ref": "aerdem4/google-ventilator-lofo-feature-importance", "kernel_id": "21033674"}, {"ref": "nehapawar/eda-and-ml-models", "kernel_id": "21662545"}, {"ref": "bryanb/ventilator-pressure-prediction-eda", "kernel_id": "21018736"}, {"ref": "gauravbrills/vpp-enc-decode-novel-blend-4", "kernel_id": "21459466"}, {"ref": "cepheidq/gaussian-dropout-for-pytorch", "kernel_id": "21154332"}, {"ref": "krivenkozz/simple-pytorch-fastai-deotte-dhoa-refactoring", "kernel_id": "21530025"}, {"ref": "vslaykovsky/better-than-median-classification-ensemble", "kernel_id": "21452213"}, {"ref": "blankaf/google-brain-vpp-train-infer-tpu", "kernel_id": "21038982"}, {"ref": "toroi0610/feature-engineering-non-ml-approach", "kernel_id": "21610392"}, {"ref": "authman/magic-post-processing-attempt-no-3of6", "kernel_id": "21694630"}, {"ref": "authman/patterns", "kernel_id": "21738697"}, {"ref": "authman/no-magic-hacks-just-fast-feature-engineering", "kernel_id": "21747085"}, {"ref": "nevruz/train-lstm-gru-model", "kernel_id": "21295331"}, {"ref": "junkoda/pytorch-lstm-with-tensorflow-like-initialization", "kernel_id": "21044594"}, {"ref": "bobber/chris-s-tensorflow-transformer-0-112", "kernel_id": "21770533"}, {"ref": "bobber/nn-baseline-with-eda-and-predict-80-pressures", "kernel_id": "21021303"}, {"ref": "vineethakkinapalli/random-weights-blending-tool-ventilator-pressure", "kernel_id": "21319689"}, {"ref": "urvishp80/gaps-features-tf-lstm-resnet-like-ff-seed-100", "kernel_id": "21562438"}, {"ref": "urvishp80/tf-lstm-resnet-like-fe-spectral-analysis", "kernel_id": "21390694"}, {"ref": "felipebihaiek/ventilator-lightgbm-with-gpu", "kernel_id": "21046953"}, {"ref": "l0glikelihood/0-1093-single-public-lb", "kernel_id": "21755588"}, {"ref": "kritidoneria/2021-kaggle-ml-ds-survey-india-automl-eda", "kernel_id": "21253858"}, {"ref": "katsuomi/median-wins-round", "kernel_id": "21467071"}, {"ref": "takamichitoda/ventilator-fine-tune-regression", "kernel_id": "21219103"}, {"ref": "takamichitoda/ventilator-train-classification", "kernel_id": "21027256"}, {"ref": "tenffe/finetune-of-brain-lstm-with-half-length", "kernel_id": "21273354"}, {"ref": "dschettler8845/vpp-in-depth-error-analysis", "kernel_id": "21377626"}, {"ref": "dschettler8845/vpp-clustering-with-better-features", "kernel_id": "21431239"}, {"ref": "dschettler8845/model-arch-experiments-ventilator-pressure-tf", "kernel_id": "21520010"}, {"ref": "dschettler8845/ventilator-pressure-cluster-create-embedding", "kernel_id": "21038904"}, {"ref": "dschettler8845/ventilator-pressure-weight-u-out-tf-tpu", "kernel_id": "21235030"}, {"ref": "cdeotte/lstm-feature-importance", "kernel_id": "21109894"}, {"ref": "cdeotte/tensorflow-transformer-0-112", "kernel_id": "21749012"}, {"ref": "arunamenon/google-brain-ventilator-pressure-prediction", "kernel_id": "21452938"}, {"ref": "corrrado/ventilator-xgboost", "kernel_id": "21497747"}, {"ref": "co21cen/lstm-ventilator-pressure", "kernel_id": "21817057"}, {"ref": "takasu331/google-brain-eda-japanese-and-start", "kernel_id": "21032157"}, {"ref": "jaideepvalani/vppclassification-ce-torch-optim-fold5", "kernel_id": "21701486"}, {"ref": "jaideepvalani/ventilator-train-classification-ce-pytorch-optim", "kernel_id": "21408155"}, {"ref": "get2jawa/simple-quick-rnn-for-beginners-tensorflow", "kernel_id": "21130004"}, {"ref": "luizflpe/vpp-pressure-hysteresis-impact-of-r-feat-eng", "kernel_id": "21000384"}, {"ref": "biruk1230/breathe-in-the-air-custom-callback-validation", "kernel_id": "21706387"}, {"ref": "biruk1230/too-much-ensembling-business", "kernel_id": "21723340"}, {"ref": "haozhang607/google-brain-ventilator-pressure-prediction", "kernel_id": "21738763"}, {"ref": "dailysergey/ventillator-pressure-fastai-folds-train", "kernel_id": "21464140"}, {"ref": "jmcslk/hybrid-cnn-enc-dec-sample-weights", "kernel_id": "21384496"}, {"ref": "omarvivas/lgbm-v1", "kernel_id": "21379827"}, {"ref": "lys620/gb-xgboost-and-optuna-inference-score-0-5873", "kernel_id": "21679879"}, {"ref": "lys620/gb-xgboost-and-optuna-train", "kernel_id": "21677130"}, {"ref": "aikhmelnytskyy/google-brain-with-tpu-on-both-colab-and-kaggle", "kernel_id": "21326131"}, {"ref": "stpeteishii/ventilator-pressure-prediction-eda", "kernel_id": "21656870"}, {"ref": "sachin1153/pressure-prediction", "kernel_id": "21097555"}, {"ref": "kmanoj2270/ventilator-pressure-prediction-eda", "kernel_id": "21376349"}, {"ref": "jundablatif1999/notebook2610533642", "kernel_id": "21435454"}, {"ref": "mistag/train-ventilator-lstm-model-part-iii", "kernel_id": "21010633"}, {"ref": "mistag/train-ventilator-lstm-model-part-iv", "kernel_id": "21012877"}, {"ref": "mistag/train-ventilator-lstm-model-part-ii", "kernel_id": "21002710"}, {"ref": "mistag/pred-ventilator-lstm-model-0-149", "kernel_id": "21002729"}, {"ref": "mistag/train-ventilator-lstm-model-part-i", "kernel_id": "21002591"}, {"ref": "sumitai/ventillator-fastai-lb-0-169-no-kfolds-no-blend", "kernel_id": "21602117"}, {"ref": "cwwong1606/googlebrain-model-testing", "kernel_id": "21194942"}, {"ref": "vladiluzjr/1d-unet-deep-supervision-fit-predict", "kernel_id": "21766039"}, {"ref": "vladiluzjr/linear-regression-u-in-and-pressure", "kernel_id": "21572758"}, {"ref": "shujun717/1-solution-lstm-cnn-transformer-1-fold", "kernel_id": "21815925"}, {"ref": "ounamg008/lgbm-featureeng-added-3-new-feature-kfold-0-50", "kernel_id": "21606358"}, {"ref": "shubham9455999082/prediction-using-lstm", "kernel_id": "21103395"}, {"ref": "pavan9065/explore-ventilator-pressure-prediction", "kernel_id": "21201389"}, {"ref": "marutama/finetune-of-tensorflow-bi-lstm-eda-about", "kernel_id": "21123289"}, {"ref": "marutama/eda-about-lstm-feature-importance", "kernel_id": "21120360"}, {"ref": "marutama/eda-about-pressure-part-1", "kernel_id": "21077503"}, {"ref": "marutama/eda-about-pressure-with-colored-charts", "kernel_id": "21280747"}, {"ref": "tfukuda675/ventilator-01-modify-data", "kernel_id": "21441568"}, {"ref": "tfukuda675/simple-lstm-create-train-data", "kernel_id": "21412428"}, {"ref": "tfukuda675/lgbm-simple-strategy", "kernel_id": "21273782"}, {"ref": "tfukuda675/update-add-3d-data-visu-plotly-seaborn-matplot", "kernel_id": "21094015"}, {"ref": "tfukuda675/add-u-in-hist-each-timestep-simple-lstm", "kernel_id": "21165888"}, {"ref": "devkhant24/ventilator-pressure-prediction-lgbmregressor", "kernel_id": "21055629"}, {"ref": "tetsuya777/japanease-google-brain-make-features", "kernel_id": "21046876"}, {"ref": "kiitosu/ventilator-feature-engineering", "kernel_id": "21410310"}, {"ref": "v18nguye/lstm-feature-filtering-tpu-huberloss", "kernel_id": "21535745"}, {"ref": "lucasmorin/dynamic-time-warping-performance-applications", "kernel_id": "21299237"}, {"ref": "lucasmorin/spectral-analysis-feature-engineering", "kernel_id": "21362355"}, {"ref": "lucasmorin/u-in-mae-exploration-with-umap-hdbscan", "kernel_id": "21074621"}, {"ref": "lucasmorin/pressure-mae-exploration-with-umap-hdbscan", "kernel_id": "21021317"}, {"ref": "carlmcbrideellis/some-pretty-t-sne-plots", "kernel_id": "21211894"}, {"ref": "mohitsahal/lstm-plus-gru", "kernel_id": "21433008"}, {"ref": "hayatotominaga/100-features-in-this-contest-and-failures", "kernel_id": "21749401"}, {"ref": "rishishounak/vent-5", "kernel_id": "21558196"}, {"ref": "rishishounak/vent-88", "kernel_id": "21679399"}, {"ref": "frankmollard/tpu-skip-lstm-vpp", "kernel_id": "21543248"}, {"ref": "frankmollard/decrease-in-impurity-importances", "kernel_id": "21018539"}, {"ref": "frankmollard/adversarial-validation", "kernel_id": "21489385"}, {"ref": "tom99763/fitting-with-rnn", "kernel_id": "21532068"}, {"ref": "ghostcxs/ventilator-submission-data-generate", "kernel_id": "21245958"}, {"ref": "ghostcxs/ventilator-generate-data", "kernel_id": "21244239"}, {"ref": "ghostcxs/ventilator-submission", "kernel_id": "21243642"}, {"ref": "ghostcxs/ventilator-train-get-submission", "kernel_id": "21224687"}, {"ref": "ghostcxs/ventilator-kerastuner-model", "kernel_id": "21211762"}, {"ref": "zekun98/fork-of-pulp-fiction-lstm-fold5", "kernel_id": "21522821"}, {"ref": "zekun98/ensemble-torch-lstm", "kernel_id": "21033248"}, {"ref": "zekun98/lightautoml-bidirectional-lstm", "kernel_id": "21583303"}, {"ref": "zekun98/transformer-lstm", "kernel_id": "21554953"}, {"ref": "cnhung/kaggle-ventilator-pressure-dsp-ml-control-eda", "kernel_id": "21048071"}, {"ref": "bannourchaker/crispdm-1-dataunderstanding-part1", "kernel_id": "21208597"}, {"ref": "bannourchaker/crisp-dm-1-dataunderstandingpart2", "kernel_id": "21316763"}, {"ref": "nischaydnk/vpp-burning-bidirecskiplstm-round2", "kernel_id": "21740101"}, {"ref": "pradeepmiriyala/google-brain-lung", "kernel_id": "21324866"}, {"ref": "pradeepmiriyala/eda-on-features-u-out-toggling-pos-const-r-c", "kernel_id": "21443262"}, {"ref": "irispro/bi-lstm-new", "kernel_id": "21586296"}, {"ref": "irispro/vent-011-median-wins", "kernel_id": "21441791"}, {"ref": "teyosan1229/ventilator-pressure-pytorch-lightning-lstm0-192", "kernel_id": "21221309"}, {"ref": "appletomo/pressure-u-in-graph", "kernel_id": "21616795"}, {"ref": "sagnik1511/pytorch-ann-baseline-google-ventilator-challenge", "kernel_id": "21416540"}, {"ref": "manojkumars00/ventilator-pressure-pred-ensemble", "kernel_id": "21710382"}, {"ref": "lilkoke/1024-ensemble-lilkoke", "kernel_id": "21460340"}, {"ref": "pathanamjadkhan/basic-ensemble", "kernel_id": "21407868"}, {"ref": "yoshikuwano/vpp-eda", "kernel_id": "21068312"}, {"ref": "mrridulasingh/beginner-catboost-hypertuning-lgbm-xgb", "kernel_id": "21660937"}, {"ref": "vothaibk/simple-lstm", "kernel_id": "21296799"}, {"ref": "michaelcerda/lgbm-for-beginners-ventilator-pressure", "kernel_id": "21123527"}, {"ref": "kishorthakre/ventilator-pressure-prediction-inference", "kernel_id": "21093631"}, {"ref": "leolu1998/dnn-lstm-kmeans-tpu", "kernel_id": "21672876"}, {"ref": "ipekyilmaz/google-brain-ventilator-pressure-prediction", "kernel_id": "21463188"}, {"ref": "mst8823/19th-place-best-single-model-resbilstm", "kernel_id": "21754663"}, {"ref": "annacoonda/dst-22-final-project-real-competition", "kernel_id": "21472991"}, {"ref": "pollakrit/google-brain-test-feature", "kernel_id": "21274032"}, {"ref": "taninudomthanakij/ventilator-pressure-prediction", "kernel_id": "21256843"}, {"ref": "henriqueseschinneto/google-ventilator-models-knn-linear-r-cnn-tcn", "kernel_id": "21826064"}, {"ref": "awwalmalhi/3-branch-bidirectional-gru-with-masked-inputs", "kernel_id": "21408854"}, {"ref": "papernist/google-brain", "kernel_id": "21245477"}, {"ref": "yus002/random-weights-blending-tool-ventilator-pressure", "kernel_id": "21022908"}, {"ref": "pietromaldini1/searching-a-new-baseline-maybe-new-feature", "kernel_id": "21631621"}, {"ref": "edwintyh/ventilator-pressure-1d-cnn-tpu", "kernel_id": "21016418"}, {"ref": "pavfedotov/clustering", "kernel_id": "21095074"}, {"ref": "pavfedotov/lofo-feature-importance", "kernel_id": "21083668"}, {"ref": "pavfedotov/optuna-optimized-keras-base-model", "kernel_id": "21445764"}, {"ref": "sakuraandblackcat/r-eda-and-tidymodels", "kernel_id": "21458344"}, {"ref": "sakuraandblackcat/r-tidymodels-xgboost-and-eda", "kernel_id": "21490775"}, {"ref": "manuelmasiello/ventilator-pressure-prediction-using-cnn", "kernel_id": "21488578"}, {"ref": "sudipg411/eda-with-feature-engineering", "kernel_id": "21084938"}, {"ref": "sudipg411/simple-xgboost-for-beginner", "kernel_id": "21093749"}, {"ref": "sabinaabdurakhmanova/ensemble-without-overfitting-risk", "kernel_id": "21268526"}, {"ref": "wabinab/ventpressure-featureunderstanding", "kernel_id": "21246421"}, {"ref": "swaralipibose/new-feature-score-improved", "kernel_id": "21592003"}, {"ref": "swaralipibose/median-ensemble-of-published-notebooks", "kernel_id": "21563490"}, {"ref": "swaralipibose/gb-vpp-pulp-fiction-abb651", "kernel_id": "21496841"}, {"ref": "swaralipibose/interesting-feature-importance-by-lstm-gradients", "kernel_id": "21364526"}, {"ref": "phantnguyen/submission-lstm-baseline", "kernel_id": "21683226"}, {"ref": "ahmedmoabbas/time-representation", "kernel_id": "21270452"}, {"ref": "ahmedmoabbas/pytorch-models-getting-data", "kernel_id": "21268667"}, {"ref": "jackwilliams3rd/how-to-confirm-data", "kernel_id": "21162688"}, {"ref": "kartik2khandelwal/feature-engineering-lstm-score-0-1878", "kernel_id": "21117901"}, {"ref": "kartik2khandelwal/i-m-feeling-like-hell", "kernel_id": "21702989"}, {"ref": "ajiiscbanglore/neural-network-google-brain", "kernel_id": "21261654"}, {"ref": "ajiiscbanglore/svr-google-brain", "kernel_id": "21258365"}, {"ref": "dlaststark/gb-vpp-whoppity-dub-dub", "kernel_id": "21159076"}, {"ref": "dlaststark/gb-vpp-pulp-fiction", "kernel_id": "21234248"}, {"ref": "dlaststark/gb-vpp-to-infinity-and-beyond", "kernel_id": "21017794"}, {"ref": "msvrao/tscomp", "kernel_id": "21274117"}, {"ref": "torunaka/google-brain-eda-japanese", "kernel_id": "21098038"}, {"ref": "kdsharmaai/gb-ventilator-pressure-eda-variable-relation", "kernel_id": "21530224"}, {"ref": "brennolins/ventilator-pressure-prediction-lstm", "kernel_id": "21691017"}, {"ref": "jueun1617gmailcom/googlebrain-lgbm", "kernel_id": "21155651"}, {"ref": "kooose/separation-of-r-and-c", "kernel_id": "21032284"}, {"ref": "kooose/google-ventilator-transformer-l1loss", "kernel_id": "21090825"}, {"ref": "kooose/google-ventilator-lstm-l1loss", "kernel_id": "21069247"}, {"ref": "grzegorzlippe/ventilator-pressure-prediction-exploration", "kernel_id": "21226805"}, {"ref": "santosojuan1999/google-ventilator", "kernel_id": "21131206"}, {"ref": "jonaspalucibarbosa/ventilator-pressure-starter-lstm-on-tpu", "kernel_id": "21022288"}, {"ref": "mykeysid10/ventilator-pressure-prediction-lstm", "kernel_id": "21661590"}, {"ref": "jordiarellano/lstm-model", "kernel_id": "21559680"}, {"ref": "hrshuvo/dnn-lstm-tpu", "kernel_id": "21016497"}, {"ref": "heliksmersenburg/exploratory-data-analysis-eda-basics", "kernel_id": "21326423"}, {"ref": "heliksmersenburg/applying-fast-fourier-transform-fft-and-cosine", "kernel_id": "21391041"}, {"ref": "adityastark07/overfit-for-sure-xd", "kernel_id": "21310778"}, {"ref": "adityastark07/basic-ensemble-of-public-notebooks", "kernel_id": "21132874"}, {"ref": "smoschou55/skip-connection-ventilator-pressure-tf", "kernel_id": "21560720"}, {"ref": "adityasharma01/dnn-lstm-tpu", "kernel_id": "21717866"}, {"ref": "rizkykiky/ensemble-of-lstm-notebook", "kernel_id": "21592194"}, {"ref": "aravindanr22052001/summa", "kernel_id": "21616596"}, {"ref": "vincenttu/an-exploration-into-r-c-and-error-analysis", "kernel_id": "21048234"}, {"ref": "alexanderplatonov/tf2-keras-model", "kernel_id": "21479324"}, {"ref": "alexanderplatonov/xgbregressor-model", "kernel_id": "21456934"}, {"ref": "shakshyathedetector/brain-ventilator-pressure-prediction", "kernel_id": "21500917"}, {"ref": "whitecat0022/google-brain-optuna-optimized-keras-gcolab-0-164", "kernel_id": "21216774"}, {"ref": "whitecat0022/google-brain-lightautoml-for-gcolabpro-0-697", "kernel_id": "21117465"}, {"ref": "wongfeiyeung/ventilatorpressureprediction-feature-engineering", "kernel_id": "21233076"}, {"ref": "valentinateslenko/ventilator-pressure-tensorflow-feature-engineering", "kernel_id": "21621325"}, {"ref": "chenghanpu/vpp-dual-head-regression-median-postprocessing", "kernel_id": "21497725"}, {"ref": "ambrosm/vent-011-median-wins", "kernel_id": "21439082"}, {"ref": "ambrosm/vent-017-inverse-pid-controller", "kernel_id": "21675199"}, {"ref": "syerwin/new-basic-ensemble", "kernel_id": "21460846"}, {"ref": "syerwin/update-version-ensemble-without-overfitting", "kernel_id": "21385881"}, {"ref": "soumenksarker/bi-lstm-model-pressure-predict-gpu-infer", "kernel_id": "21035590"}, {"ref": "soumenksarker/median-ensemble-of-published-notebooks", "kernel_id": "21669318"}, {"ref": "soumenksarker/interesting-feature-importance-by-lstm-gradients", "kernel_id": "21717154"}, {"ref": "profahmadhussein2010/update-version-ensemble-without-overfitting", "kernel_id": "21526297"}, {"ref": "nikhilsharma24/r-h2o-gbm", "kernel_id": "21161802"}, {"ref": "vmuzhichenko/google-brain-yet-another-lstm", "kernel_id": "21663722"}, {"ref": "esratmaria/ventilator-pressure-prediction-eda-kfold", "kernel_id": "21115590"}, {"ref": "esratmaria/ventilator-pressure-prediction-xgboost-modeling", "kernel_id": "21333028"}, {"ref": "shashimo/ventilator-very-simple-eda-for-starter", "kernel_id": "21422058"}, {"ref": "shashimo/ventilator-simple-fe-lstm-with-gpu-0-5025", "kernel_id": "21682250"}, {"ref": "qquick/lofo-feature-importance-simple-labs", "kernel_id": "21131765"}, {"ref": "qquick/probability-rounding-to-improve-score", "kernel_id": "21001501"}, {"ref": "aichiaida/removeoutliers", "kernel_id": "21725319"}, {"ref": "deepchaka/lstm-encoder", "kernel_id": "21738351"}, {"ref": "luminiel/notebook8c9d56e0a3", "kernel_id": "21562620"}, {"ref": "joaovitorvaz/ventilator-pressure-prediction", "kernel_id": "21281444"}, {"ref": "eizohimi/data-visualization-plotly-seaborn-matplot", "kernel_id": "21143179"}, {"ref": "pliptor/ventilator-how-much-time-step-knows-about-r-and-c", "kernel_id": "22051031"}, {"ref": "muralidhar98/lstm-murali", "kernel_id": "22311599"}, {"ref": "nilavanakilan/vpp-ensemble-3", "kernel_id": "22070712"}, {"ref": "flafuji/simple-ventilator-pressure-prediction-explained", "kernel_id": "22849111"}, {"ref": "nivedit16/linear-regression-u-in-and-pressure", "kernel_id": "22996659"}, {"ref": "saumilagrawal10/how-to-save-and-load-a-model", "kernel_id": "22258841"}, {"ref": "stanbergey/simple-lstm", "kernel_id": "23746969"}, {"ref": "amishra527/eda-and-pred", "kernel_id": "23797839"}, {"ref": "abdelrahmanelrawy/google-brain-random-forestregressor", "kernel_id": "24665768"}, {"ref": "analleinert/notebook135b239947", "kernel_id": "25323961"}, {"ref": "animeshhalder/google-brain-ventilator-pressure-prediction", "kernel_id": "25080071"}, {"ref": "konradb/ts-6-deep-learning-for-ts-rnn-and-friends", "kernel_id": "26732636"}, {"ref": "kennethnguyen/build-7-bidirect-lstm-model", "kernel_id": "26494420"}, {"ref": "emirslspr/google-brain-xgboost-and-lstm", "kernel_id": "26477175"}, {"ref": "mukeshrajm/end-to-end-kaggle-submission-using-fastai", "kernel_id": "26684776"}, {"ref": "grakercharms/tensorflow-transformer-0-112", "kernel_id": "26481447"}, {"ref": "lamdoannguyen/ai-ex2", "kernel_id": "27216767"}, {"ref": "widhiwinata/applying-fast-fourier-transform-fft-and-cosine", "kernel_id": "30915270"}, {"ref": "hyeonhoonlee/kohi-basic-transformer-example", "kernel_id": "30426054"}, {"ref": "mesofianeyou/notebook10f7178e06", "kernel_id": "30271119"}, {"ref": "chrissi2802/vpp-jupyter", "kernel_id": "30713582"}, {"ref": "deebyadeep/deep-learning-for-ts-rnn-lstm", "kernel_id": "31716892"}, {"ref": "kaledhoshme/pressure-prediction-using-deep-learning", "kernel_id": "32264732"}, {"ref": "chauhankshitij/201000022-lab12", "kernel_id": "32472020"}, {"ref": "rahmasamy/notebook3bc5c9dd62", "kernel_id": "32743506"}, {"ref": "annnnguyen/finalproject", "kernel_id": "32929897"}, {"ref": "kishangopalmishra/201000018-dl-lab12", "kernel_id": "32957075"}, {"ref": "issoufouabdou/notebookf2a9d0920a", "kernel_id": "34101570"}, {"ref": "aashnagandhi/prediction-of-ventilator-pressure-in-r", "kernel_id": "37359559"}, {"ref": "cthulhucoder/deep-learning-starter-simple-lstm", "kernel_id": "40165449"}, {"ref": "ukveteran/bilstm-playground-swish", "kernel_id": "42813986"}, {"ref": "saraayed/ventilator-optimization", "kernel_id": "54728023"}, {"ref": "cardata/google-brain-ventilator-pressure-analysis", "kernel_id": "56292956"}, {"ref": "ssyyhh/ventilator-pressure-prediction-with-xgbregressor", "kernel_id": "60792204"}, {"ref": "vishalyginny/googlebrain-gradientboostingregressor", "kernel_id": "64748657"}, {"ref": "tobegold574/introductory-kan", "kernel_id": "68834712"}, {"ref": "tobegold574/introductory-lstm", "kernel_id": "68157858"}, {"ref": "zyh1104/015-google-brain-ventilator-pressure-prediction", "kernel_id": "71388707"}, {"ref": "chenfenghou/fork-of-lecture8-lstm", "kernel_id": "72070801"}, {"ref": "saadqacif/deep-learning-starter-simple-lstm", "kernel_id": "74063366"}, {"ref": "kaaneravci/ventilator-pressure-prediction-using-rnn-gru-lstm", "kernel_id": "77304913"}, {"ref": "huxuebing/deep-learning-starter-simple-lstm", "kernel_id": "83798828"}, {"ref": "whale20220627/lightgbm-cross-validation-from-qwen", "kernel_id": "89769516"}, {"ref": "pranabbh09/ventilator-pressure-prediction", "kernel_id": "92750844"}, {"ref": "coderiderai/ventilator-logic-based-lb-6-99", "kernel_id": "109484570"}]}
{"competition_id": "29598", "kernels": [{"ref": "jeancxrlo/xgboost-jean-carlo", "kernel_id": "18541370"}, {"ref": "abdullahshoukat/notebookf82486db0b", "kernel_id": "33921073"}]}
{"competition_id": "29604", "kernels": [{"ref": "jopedro/entrega-66-6", "kernel_id": "18585313"}, {"ref": "bardelotte/task5-baggingclassifier-68-5-mlhor-grupo", "kernel_id": "18412596"}, {"ref": "paulohpizelli/task05-decision-forest-pent-gono", "kernel_id": "18453426"}, {"ref": "antniocarlosherling/viral-tweet-67-5-p-blico", "kernel_id": "18255502"}, {"ref": "matheussinis/task-5-final", "kernel_id": "18603916"}, {"ref": "wesleysilva92/neyteam-task-05", "kernel_id": "18410337"}, {"ref": "cfirmino/task-05-viral-tweets-final-manda-por-sedex", "kernel_id": "18645768"}, {"ref": "gabrielgggg/grupo-nmdt", "kernel_id": "18606924"}, {"ref": "nanoliveira/task-5-machine-masters", "kernel_id": "18606792"}, {"ref": "alvarovalentim/task-05-quarentenados-68-5-public", "kernel_id": "18501989"}, {"ref": "joaopc/task05-tweets-68-2-public", "kernel_id": "18363436"}, {"ref": "jrgazola/antigo-task-5-sgj", "kernel_id": "18602407"}, {"ref": "jrgazola/atual-task-5-sgjr", "kernel_id": "18607081"}, {"ref": "bernardobarretoabreu/tuskademy-task-5", "kernel_id": "18608517"}, {"ref": "marcelopinto/sme0829-victorfrankenstein-pjt5", "kernel_id": "18609614"}, {"ref": "gabrielcgr/bonde-do-aprendizado-task05", "kernel_id": "18565652"}, {"ref": "diegogiaretta/task-5-mls", "kernel_id": "18606108"}, {"ref": "marianamenezesgomes/67-2-colab-rf-catboost-xgb-pca", "kernel_id": "18606865"}, {"ref": "robertotessarin/trabalho-final", "kernel_id": "18587563"}, {"ref": "eduardoneiva/grupo-sparkanos", "kernel_id": "18606880"}, {"ref": "joaovitorponte/task-05-viral-tweets-prediction", "kernel_id": "18606848"}]}
{"competition_id": "29605", "kernels": []}
{"competition_id": "29610", "kernels": [{"ref": "asimzahid/analysis-publisher-prediction-score-0-88357", "kernel_id": "17897327"}]}
{"competition_id": "29623", "kernels": [{"ref": "docxian/data-cup-round-1", "kernel_id": "17955472"}, {"ref": "mayureshkhanaj/round1", "kernel_id": "17933486"}, {"ref": "dhruvjain04/fork-of-notebookf0c65613cc", "kernel_id": "17987802"}, {"ref": "ssaha03/round1", "kernel_id": "18136627"}, {"ref": "tanmaykale/tanmay-round1", "kernel_id": "18134037"}, {"ref": "anupampatil44/xeniar1", "kernel_id": "18133033"}]}
{"competition_id": "29624", "kernels": [{"ref": "docxian/data-cup-round-2", "kernel_id": "17978050"}, {"ref": "nitinbansal02/data-cup-r2", "kernel_id": "17983235"}, {"ref": "ssaha03/round2", "kernel_id": "18137298"}, {"ref": "dhruvjain04/notebook24fc0f2f27", "kernel_id": "18012651"}, {"ref": "anupampatil44/xeniar2", "kernel_id": "18133154"}]}
{"competition_id": "29630", "kernels": []}
{"competition_id": "29637", "kernels": []}
{"competition_id": "29653", "kernels": [{"ref": "rude009/working-with-dicom-data", "kernel_id": "17064658"}, {"ref": "konradb/image-resizing", "kernel_id": "18571309"}, {"ref": "krishnakalyan3/fastai-quick-start-brain-tumor", "kernel_id": "18895619"}, {"ref": "rijuvaish/brain-tumor-tensorflow-starter", "kernel_id": "18598969"}, {"ref": "saurabhbagchi/mri-tumor", "kernel_id": "18582378"}, {"ref": "aninda/rsna-inference", "kernel_id": "18620977"}, {"ref": "aninda/rsna-radiogenomic-starter", "kernel_id": "18582682"}, {"ref": "abhijeetptl5/video-data-from-miccai-png", "kernel_id": "18869245"}, {"ref": "aakashnain/process-dicom-on-steroids", "kernel_id": "18580785"}, {"ref": "boojum/connecting-voxel-spaces", "kernel_id": "18805522"}, {"ref": "tanlikesmath/brain-tumor-radiogenomic-classification-eda", "kernel_id": "18563599"}, {"ref": "rluethy/efficientnet3d-with-one-mri-type", "kernel_id": "18797520"}, {"ref": "yseeker/let-s-plot-some-dicom-images", "kernel_id": "18564052"}, {"ref": "zrafiws/brain-mri-visualisation-with-tensorflow-io", "kernel_id": "18999350"}, {"ref": "osciiart/public-lb-simulation", "kernel_id": "18880438"}, {"ref": "furcifer/torch-efficientnet3d-for-mri-no-train", "kernel_id": "18580719"}, {"ref": "furcifer/no-baseline-pytorch-cnn-for-mri", "kernel_id": "18576225"}, {"ref": "furcifer/torch-effnet-for-mri-no-inference", "kernel_id": "18751591"}, {"ref": "furcifer/mri-data-augmentation-pipeline", "kernel_id": "18813061"}, {"ref": "yeonghyeon/convert-dicom-to-numpy-array-super-simple", "kernel_id": "18643435"}, {"ref": "avirdee/rsna-miccai-initial-fmi-fastai", "kernel_id": "18589276"}, {"ref": "orkatz2/autofocus-layer-brain-tumor-segmentation", "kernel_id": "18684543"}, {"ref": "sujataroy/rsna-miccai-brain-tumor-classification-eda", "kernel_id": "18573567"}, {"ref": "ninjakx01/brain-mri-visualization", "kernel_id": "18576860"}, {"ref": "ihelon/brain-tumor-eda-with-animations-and-modeling", "kernel_id": "18569428"}, {"ref": "mnpinto/visualize-50-samples-rsna-btrc-2021", "kernel_id": "18570349"}, {"ref": "dschettler8845/eda-3d-baseline-rsna-glioma-radiogenomics", "kernel_id": "18583786"}, {"ref": "dschettler8845/create-3d-npz-tfrecords-rsna-radiogenomics", "kernel_id": "18807463"}, {"ref": "zzy990106/brain-tumor-3d-resnet-infer", "kernel_id": "18731834"}, {"ref": "ipythonx/tf-3d-2d-model-for-brain-tumor-classification", "kernel_id": "18658035"}, {"ref": "vincycode/brain-tumor-vcode", "kernel_id": "18584862"}, {"ref": "ranafago/preprocessing-dcm-to-nifti", "kernel_id": "18803566"}, {"ref": "sdpatiba/rsna-miccai-brain-tumor-dataset", "kernel_id": "18909176"}, {"ref": "ayuraj/brain-tumor-eda-and-interactive-viz-with-w-b", "kernel_id": "18604646"}, {"ref": "ayuraj/train-brain-tumor-as-video-classification-w-b", "kernel_id": "18749367"}, {"ref": "markshong/btrc-eda-mk", "kernel_id": "18995169"}, {"ref": "minhnhatphan/rnsa-21-cnn-lstm-train", "kernel_id": "18814876"}, {"ref": "minhnhatphan/rnsa-21-cnn-lstm-inference", "kernel_id": "18816145"}, {"ref": "josepc/rsna-effnet", "kernel_id": "18571121"}, {"ref": "josepc/submit-rsna", "kernel_id": "18763957"}, {"ref": "echo9k/the-wiki-of-thinks-you-should-know", "kernel_id": "18834045"}, {"ref": "mrinath/making-data-ready-for-3d-cnn", "kernel_id": "18744593"}, {"ref": "mrinath/using-pretrained-models-for-3d-data", "kernel_id": "18612242"}, {"ref": "zhangkaiyu/v2-model-result", "kernel_id": "18854597"}, {"ref": "ksmcg90/dataset-resizer-miccai", "kernel_id": "18811332"}, {"ref": "mpwolke/glioblastoma-mri-dicom-format", "kernel_id": "18575777"}, {"ref": "mpwolke/diagnosing-mri-dcm-like-a-kaggler-fastai", "kernel_id": "18706315"}, {"ref": "mpwolke/brain-dicom-slide-show", "kernel_id": "18911135"}, {"ref": "santohide/roc-auc", "kernel_id": "18985504"}, {"ref": "lucca9211/brain-tumor-eda-and-modeling", "kernel_id": "18593505"}, {"ref": "drcapa/rsna-miccai-brain-tumor-starter", "kernel_id": "18568846"}, {"ref": "beoloruntobi/rsna-miccai-brain-tumor-classification", "kernel_id": "18623291"}, {"ref": "kaundanyachinmaya07/btrc-eda-3d-plot", "kernel_id": "18568235"}, {"ref": "sinamhd9/all-images-in-jpg", "kernel_id": "18563550"}, {"ref": "rajsengo/beginner-eda-rsna-brain-tumor-classification", "kernel_id": "18695260"}, {"ref": "hihunjin/no-internet-3d-vggnet", "kernel_id": "18564796"}, {"ref": "hihunjin/no-internet-efficientnet3d-pytorch", "kernel_id": "18565150"}, {"ref": "favianh/simple-dicom-visualizer", "kernel_id": "18679787"}, {"ref": "meenakshiramaswamy/rsna-miccai-mri-visualize-dicom", "kernel_id": "18575202"}, {"ref": "josecarmona/btrc-eda-final", "kernel_id": "18747662"}, {"ref": "chumajin/brain-tumor-eda-for-starter-english-version", "kernel_id": "18594243"}, {"ref": "chumajin/brain-tumor-eda-for-starter-version", "kernel_id": "18577882"}, {"ref": "tensorchoko/rsna-miccai-eda", "kernel_id": "18632900"}, {"ref": "sakilansari/brain-tumor-radiogenomic-classification-eda", "kernel_id": "18904267"}, {"ref": "reubenschmidt/getting-started-in-rsna-miccai-with-google-colab", "kernel_id": "18568621"}, {"ref": "yoonhodavidna/notebookf7da2fe0b9", "kernel_id": "18984319"}, {"ref": "frankmollard/attempt1", "kernel_id": "18620817"}, {"ref": "allanyiinai/rsna-miccai-brain-tumor-baseline", "kernel_id": "18566219"}, {"ref": "arminajdehnia/brain-tumour-preprocessing", "kernel_id": "18960376"}, {"ref": "starxussi/efficientnet-with-flair-and-t1w-data", "kernel_id": "18928266"}, {"ref": "pranshu15/273rd-place-solution-skipping-slices-inference", "kernel_id": "18852214"}, {"ref": "paddytheprogrammer/ed-with-generator", "kernel_id": "18942761"}, {"ref": "jungyekim/data-analysis", "kernel_id": "18985631"}, {"ref": "thanhtungphannguyen/rsna-challege", "kernel_id": "18679932"}, {"ref": "ishandutta/v15-rsna-eda-understanding-model-w-b", "kernel_id": "18895163"}, {"ref": "buketdarci/fast-3dcnn-model", "kernel_id": "18873910"}, {"ref": "leoyuguanall/brain-tumor-eda-with-animations-and-m-4e9e43", "kernel_id": "18648922"}, {"ref": "leoyuguanall/brain-tumor-eda-with-animations-and-modeling", "kernel_id": "18588507"}, {"ref": "farhanhaikhan/data-viz-and-analysis-know-the-brain-tumour", "kernel_id": "18800555"}, {"ref": "davidbroberts/manual-voi-lut-on-mr-images", "kernel_id": "18582045"}, {"ref": "davidbroberts/determining-mr-image-planes", "kernel_id": "18563658"}, {"ref": "davidbroberts/export-dicom-series-by-plane", "kernel_id": "18857667"}, {"ref": "davidbroberts/rsna-brain-tumor-image-planes", "kernel_id": "18701241"}, {"ref": "davidbroberts/mr-reference-lines", "kernel_id": "18704274"}, {"ref": "ilikedeeplearning/0-618-cv-efficientnet-benchmark-btr", "kernel_id": "18882385"}, {"ref": "aristotle609/efficientnet-3d-using-lightning", "kernel_id": "18952594"}, {"ref": "aristotle609/basic-eda-rsna", "kernel_id": "18710179"}, {"ref": "lalehsfz/converting-dicom-to-numpy-by-vtk", "kernel_id": "18585144"}, {"ref": "shanmukh05/eda-rsna-brain-tumor-classification", "kernel_id": "18567720"}, {"ref": "hamzajebbar/brain-tumor-radiogenomic-classification", "kernel_id": "18579592"}, {"ref": "ludovicchangeon/brain-tumor-exploration-dicom-to-video", "kernel_id": "18564243"}, {"ref": "shritech1404/rsna-miccai-brain-tumor-radiogenomic-prediction", "kernel_id": "18565936"}, {"ref": "anasshnn/fast-dicom-png-full-data-download-data", "kernel_id": "18958896"}, {"ref": "xuxu1234/efficientnet3d-for-mri", "kernel_id": "18721571"}, {"ref": "lucamtb/eda-save-file-brt-classification", "kernel_id": "18571745"}, {"ref": "lucamtb/brain-tumer-train-class-flair", "kernel_id": "18603781"}, {"ref": "lucamtb/brain-tumor-very-basice-inference", "kernel_id": "18624492"}, {"ref": "yashvadi9274/3d-resized-images-in-numpy-array", "kernel_id": "18569622"}, {"ref": "ammarnassanalhajali/brain-tumor-3d-eda", "kernel_id": "18637765"}, {"ref": "ammarnassanalhajali/brain-tumor-3d-inference", "kernel_id": "18677468"}, {"ref": "yus002/transform-id-column", "kernel_id": "18571964"}, {"ref": "femikj/notebook020e60a0c8", "kernel_id": "18734128"}, {"ref": "femikj/brain-tumor-eda-with-animations-and-modeling", "kernel_id": "18796995"}, {"ref": "eslamsaleh1111/notebookcbf988a10d", "kernel_id": "18581214"}, {"ref": "hakinamz/brain-tumor-radiogenomic-classification", "kernel_id": "18601776"}, {"ref": "alessiopeluso/brain-tumor-detection", "kernel_id": "18726420"}, {"ref": "juanpatel/rsna-miccai-sentdex", "kernel_id": "18741978"}, {"ref": "yuvrajr/brain-tumor-classfication", "kernel_id": "18872787"}, {"ref": "craigwickizer/rsna-miccai-tensorflow-dicom-dataframe-flow", "kernel_id": "18609196"}, {"ref": "mohamedsal/rsna-brain-tumor-d-1", "kernel_id": "18678277"}, {"ref": "alvarofbudria/rsne-cnn-rnn", "kernel_id": "18678437"}, {"ref": "clarksaben/8-pandas-tricks", "kernel_id": "18817789"}, {"ref": "muhammadimran112233/transfer-learning-brain-tumor-classification", "kernel_id": "18569715"}, {"ref": "smoschou55/advanced-eda-brain-tumor-data", "kernel_id": "18719916"}, {"ref": "pavlokoliada/full-analysis-and-comparison-of-algorithms", "kernel_id": "18570794"}, {"ref": "junhyeok99/rsna-baseline", "kernel_id": "18805624"}, {"ref": "gordonwang141/get-key-frames-for-each-data-sample", "kernel_id": "18973732"}, {"ref": "junghyunroh/edacode", "kernel_id": "18923099"}, {"ref": "bitcoinisgood/brain-tumor-draft", "kernel_id": "18998131"}, {"ref": "ohbewise/dicom-to-nifti-with-dcmstack", "kernel_id": "19235492"}, {"ref": "ohbewise/pip-download-dcmstack", "kernel_id": "19806028"}, {"ref": "ohbewise/dicom-to-normalized-nifti-with-torchio", "kernel_id": "19815982"}, {"ref": "ohbewise/torchio", "kernel_id": "19818883"}, {"ref": "sramirez/medicalnet-volumentations-all-in-1", "kernel_id": "19276993"}, {"ref": "siddharthtandon/rsna-miccai-data-analysis", "kernel_id": "19206056"}, {"ref": "rluethy/simple-3d-cnn-with-one-mri-type", "kernel_id": "19323715"}, {"ref": "rluethy/predict-only-simple-3d-cnn-with-one-mri-type", "kernel_id": "19661486"}, {"ref": "ren4yu/normalized-voxels-align-planes-and-crop", "kernel_id": "19657643"}, {"ref": "narek1110/fast-submission-rsna", "kernel_id": "19865637"}, {"ref": "narek1110/registraion-segmentation-features", "kernel_id": "19963392"}, {"ref": "returnofsputnik/why-does-voi-lut-create-these-shaded-bands", "kernel_id": "19766333"}, {"ref": "namgalielei/brainsavedata", "kernel_id": "19599968"}, {"ref": "namgalielei/brainsavedatanormvoxel", "kernel_id": "19956408"}, {"ref": "spacedoge/task1-segmentation-interactive-3d-eda", "kernel_id": "19972716"}, {"ref": "mstkmyhr/2021-08-09-brain-tumor-count-of-images", "kernel_id": "19364388"}, {"ref": "shilpagopal/rsna-eda-and-preprocessing", "kernel_id": "19008923"}, {"ref": "dschettler8845/efficientdet-segmentation-tf-keras-tutorial", "kernel_id": "19765374"}, {"ref": "dschettler8845/load-task-1-dataset-comparison-w-task-2-dataset", "kernel_id": "19892049"}, {"ref": "yeeseng/miccai-shamsubmission", "kernel_id": "19056204"}, {"ref": "markshong/data-analysis-first-mk", "kernel_id": "19447863"}, {"ref": "fipoka2/generator-test", "kernel_id": "19833607"}, {"ref": "sshikamaru/brain-mri-eda", "kernel_id": "19031878"}, {"ref": "stpeteishii/rsna-brain-tumor-dicom-conv2d", "kernel_id": "19792163"}, {"ref": "frlemarchand/brain-tumour-segmentation-in-mri-slices", "kernel_id": "19046506"}, {"ref": "agrica/btrc-pretrained-medicalnet-finetuning-public", "kernel_id": "19849788"}, {"ref": "adhitio/display-middle-images-plane-adjust-contrast", "kernel_id": "19091389"}, {"ref": "evanyao27/team-9-week-1", "kernel_id": "19479346"}, {"ref": "evanyao27/team-9-second-week", "kernel_id": "19916412"}, {"ref": "evanyao27/stupid-kaggle", "kernel_id": "19852723"}, {"ref": "ma7555/dicom-to-3d-mesh-stl", "kernel_id": "19983539"}, {"ref": "b3d1rhan/tumor-classifier", "kernel_id": "19965949"}, {"ref": "jl18pg052/notebook8b7bf2adee", "kernel_id": "19407690"}, {"ref": "heyytanay/pytorch-train-rsna-video-classification-w-b", "kernel_id": "19724393"}, {"ref": "chamecall/braintumor-train-pl", "kernel_id": "19456478"}, {"ref": "chamecall/braintumor-sampling", "kernel_id": "19430785"}, {"ref": "chamecall/braintumor-inference-pl", "kernel_id": "19414921"}, {"ref": "chamecall/braintumor-eda", "kernel_id": "19414275"}, {"ref": "pronoma/inceptionv3-architecture", "kernel_id": "19826322"}, {"ref": "sajozsattila/v1-4-4", "kernel_id": "19920878"}, {"ref": "hazigin/create-tfrecord-for-rsna-radiogenomic", "kernel_id": "19193299"}, {"ref": "hazigin/train-with-tfrecord-for-rsna-radiogenomic", "kernel_id": "19193494"}, {"ref": "josecarmona/btrc-a-simple-tool-to-crop-3d-images", "kernel_id": "19035450"}, {"ref": "tensorchoko/rsnd-seresnet", "kernel_id": "19592738"}, {"ref": "mananjhaveri/rsna-brain-train-baseline", "kernel_id": "19419001"}, {"ref": "mananjhaveri/rsna-miccai-brain-tumor-radiogenomic-effnet-b0", "kernel_id": "19429044"}, {"ref": "sauravmaheshkar/rsna-miccai-the-random-seed-fluke", "kernel_id": "19371547"}, {"ref": "snish9/get-brats-2021", "kernel_id": "19875365"}, {"ref": "snish9/rsna-gbm-reconstruct-data", "kernel_id": "19863051"}, {"ref": "dragonzhang/rsna-miccai-fastai-competition", "kernel_id": "19590811"}, {"ref": "aymenhanzouli006/tf-animated-data-visualization", "kernel_id": "19626435"}, {"ref": "kaitohonda/brain-tumor-classification", "kernel_id": "19787326"}, {"ref": "trinayanbharadwaj/rsna-miccai-competition-0-57385-private", "kernel_id": "19961295"}, {"ref": "brunorodrigues7/notebook1a3375ef89", "kernel_id": "19252163"}, {"ref": "louieshao/covid-nifti-preprocess-1-of-1", "kernel_id": "19638846"}, {"ref": "louieshao/covid-nifti-preprocess-0-of-1", "kernel_id": "19637757"}, {"ref": "davidbroberts/determining-dicom-image-order", "kernel_id": "19970428"}, {"ref": "arnabs007/part-1-rsna-miccai-btrc-understanding-the-data", "kernel_id": "19204044"}, {"ref": "saaisudarsanand/tumor-radiogenomic-classification", "kernel_id": "19723494"}, {"ref": "jirkaborovec/brain-tumor-classif-lightning-efficientnet3d", "kernel_id": "19841591"}, {"ref": "fenofista/rsna-miccai", "kernel_id": "19505139"}, {"ref": "nararyoya/nara-load-params", "kernel_id": "19810016"}, {"ref": "kayhanbehdin/team-7-submission", "kernel_id": "19594639"}, {"ref": "kayhanbehdin/team-7-week-3", "kernel_id": "19916268"}, {"ref": "ronikmalhotra/rsna-miccai-brain-tumor-training-data", "kernel_id": "19142177"}, {"ref": "toutatsu/brain-tumor-efficientnet-3d", "kernel_id": "19519692"}, {"ref": "d223chen/rsna-miccai-competition-middle-most-flair-scan", "kernel_id": "19341241"}, {"ref": "d223chen/rsna-miccai-competition-png-strip-method", "kernel_id": "19769592"}, {"ref": "kaneelsenevirathne/brain-tumor", "kernel_id": "19438644"}, {"ref": "kaneelsenevirathne/submit", "kernel_id": "19124591"}, {"ref": "abhranta/transfer-learning-pytorch-png-brain-tumor", "kernel_id": "19883981"}, {"ref": "abhranta/dicom-png-saving-files-beginner-data-creation", "kernel_id": "19434488"}, {"ref": "selvakumarperumal/btrc-flair-train", "kernel_id": "19604711"}, {"ref": "akarshu121/efficientnet3d-with-one-mri-type", "kernel_id": "19526560"}, {"ref": "theunrealsamurai/rsna-brain-tumor", "kernel_id": "19864455"}, {"ref": "amokranemancer/rsna-miccai-btr-classification-data-preparation", "kernel_id": "19429431"}, {"ref": "maxbaugh/pytorch-3d-brainloader", "kernel_id": "19484946"}, {"ref": "hiroshisakiyama/rf-brain-tumor-flair", "kernel_id": "19589800"}, {"ref": "michaelfumery/brain-tumor-3d-multimodal-cnn-all-mri-type", "kernel_id": "19164538"}, {"ref": "ammarnassanalhajali/brain-tumor-3d-training", "kernel_id": "19733851"}, {"ref": "swaralipibose/notebookfa1ff300cb", "kernel_id": "19413844"}, {"ref": "somesh88/brain-tumor-classification", "kernel_id": "19091716"}, {"ref": "slavkoprytula/3d-efficientnet-dtresnet", "kernel_id": "19015513"}, {"ref": "glenndean/notebook051cf986c7", "kernel_id": "19004034"}, {"ref": "clarksaben/showcase-glob", "kernel_id": "19653451"}, {"ref": "clarksaben/annotations-of-brain-tumor-eda-notebook", "kernel_id": "19788868"}, {"ref": "clarksaben/annotated-brain-tumor-3d-training-nb", "kernel_id": "19915302"}, {"ref": "clarksaben/how-to-applied-regular-expressions", "kernel_id": "19935701"}, {"ref": "hugovallejo/braintumormri-png-with-keras-preprocessing", "kernel_id": "19367599"}, {"ref": "hugovallejo/rsna-loading-transform-and-storing-into-numpy", "kernel_id": "19743707"}, {"ref": "victorsullivan/rsna-miccai-bt", "kernel_id": "19840862"}, {"ref": "gonzo3832/001-model-simple", "kernel_id": "19158857"}, {"ref": "smoschou55/dicom-to-2d-resized-axial-pngs-256x256-x36", "kernel_id": "19878606"}, {"ref": "tudorpitic/pnguri", "kernel_id": "19401364"}, {"ref": "gupsak/rsna-miccai-brain-tumor-image-statistics", "kernel_id": "19662919"}, {"ref": "aryamansharma47/saving-images-as-numpy-for-faster-training", "kernel_id": "19511384"}, {"ref": "robinsooooon/braintumor-sub2", "kernel_id": "19430540"}, {"ref": "justinbellucci/data-prep-pytorch-dataloader", "kernel_id": "19912553"}, {"ref": "ugmuka/pydicom-extract", "kernel_id": "19898323"}, {"ref": "syerwin/efficientnet3d-with-one-mri-type", "kernel_id": "19500142"}, {"ref": "pwntoown/rsna-test", "kernel_id": "19063817"}, {"ref": "junghyunroh/notebookfc21c831da", "kernel_id": "19831209"}, {"ref": "kevinleekrus/types-of-image-size", "kernel_id": "19401953"}, {"ref": "kevinleekrus/rsna-miccai-understanding-the-data", "kernel_id": "19253761"}, {"ref": "yeseulkim96/ys-preprocessing-2dver-v0", "kernel_id": "19488426"}, {"ref": "yeseulkim96/preprocessing-n-get-augmented-2d-patches-v0", "kernel_id": "19516147"}, {"ref": "nicholasjohnson2020/initial-notebook-brain-tumour", "kernel_id": "19446295"}, {"ref": "nicholasjohnson2020/efficientnet3d-ensemble", "kernel_id": "19811291"}, {"ref": "drhekalkhatib/rsna-exploratory-data-analysis-wip", "kernel_id": "19815777"}, {"ref": "zxstont/efficientnet3d-with-one-mri-type", "kernel_id": "19826015"}, {"ref": "zxstont/efficientnet3d-with-one-mri-type-ff2901", "kernel_id": "19860992"}, {"ref": "ohbewise/synchronized-mri-animations-flair-t1w-t1wce-t2w", "kernel_id": "20994442"}, {"ref": "ohbewise/s4p1-collage", "kernel_id": "20896266"}, {"ref": "ohbewise/a-rsna-mri-solution-from-dicom-to-submission", "kernel_id": "20538908"}, {"ref": "ohbewise/model-prediction-to-submission", "kernel_id": "20470718"}, {"ref": "ohbewise/pip-download-torchio", "kernel_id": "20505045"}, {"ref": "ohbewise/nifti-to-split-dataset-with-nibabel", "kernel_id": "20446066"}, {"ref": "ohbewise/dataset-to-model-with-tensorflow", "kernel_id": "20450986"}, {"ref": "mpsampat/running-brats-pre-processing-pipeline", "kernel_id": "20123950"}, {"ref": "gaurav41/step1-rsna-brain-tumor-data-prepration-tf-records", "kernel_id": "20687596"}, {"ref": "aimind/3d-is-not-suitable-because-scan-intervals-vary", "kernel_id": "20522848"}, {"ref": "aimind/whitebox-voxel-96-conv2d-mcr2", "kernel_id": "20524221"}, {"ref": "walterok/batch-inference-making-masks-using-nnunet", "kernel_id": "20604825"}, {"ref": "maxm11/dat-490-capstone-eda", "kernel_id": "20872764"}, {"ref": "billqi/efficientnet-transfer-learning-model-full", "kernel_id": "20677981"}, {"ref": "billqi/simple-eda", "kernel_id": "20631592"}, {"ref": "marshath/btrg-dicom-to-nifti-using-sri24-to-resample", "kernel_id": "20148508"}, {"ref": "marshath/making-masks-using-nnunet", "kernel_id": "20260562"}, {"ref": "ren4yu/generate-normalized-voxels", "kernel_id": "20138420"}, {"ref": "christianhritter/braintumor-eda1", "kernel_id": "20771557"}, {"ref": "holliday/animation-of-torchio-preprocessing", "kernel_id": "20789137"}, {"ref": "narek1110/fork-task1-segmentation-pyradiomics-catboost", "kernel_id": "20033917"}, {"ref": "emphymachine/brain-tumor-eda-and-modeling", "kernel_id": "20150036"}, {"ref": "pranav2109/mri-classification-data-pipeline-pytorch", "kernel_id": "20461829"}, {"ref": "anoukstein/tiles-of-tumor-slices-only-a-new-approach", "kernel_id": "20453727"}, {"ref": "mikecho/rsna-miccai-preprocessing-160x160x160", "kernel_id": "20429280"}, {"ref": "mikecho/rsna-miccai-monai-ensemble", "kernel_id": "20424446"}, {"ref": "gauravsawant/unet-segmentation-final", "kernel_id": "20864815"}, {"ref": "namgalielei/brainsubv15-7", "kernel_id": "20516208"}, {"ref": "namgalielei/brainsubmissionidintsortedv8", "kernel_id": "20232052"}, {"ref": "dienhoa/rsna-fastai-dataloader", "kernel_id": "20697883"}, {"ref": "rahulbenal/rsna-miccai-brain-tumor-classification-rb", "kernel_id": "20989935"}, {"ref": "pvtien96/solution-ensemble", "kernel_id": "20753720"}, {"ref": "pvtien96/brain-tumor-3d-blender", "kernel_id": "20856434"}, {"ref": "fepegar/preprocessing-mri-with-torchio", "kernel_id": "20315069"}, {"ref": "relyativist/dicom-to-bids-conversion", "kernel_id": "20531443"}, {"ref": "dschettler8845/captk-brats-preprocessing-cleaned-commented", "kernel_id": "20162566"}, {"ref": "lars123/leak-in-metadata", "kernel_id": "20885497"}, {"ref": "lars123/oof-vs-cv", "kernel_id": "20911834"}, {"ref": "qitvision/public-lb-simulation", "kernel_id": "20764668"}, {"ref": "rinnqd/monai-simple-prediction-from-flair", "kernel_id": "20465037"}, {"ref": "arunamenon/brain-tumor-mgmt-prediction-v1", "kernel_id": "20639598"}, {"ref": "arunamenon/eda-data-processing-basic-cnn-tumor-classification", "kernel_id": "20137369"}, {"ref": "mestkawy/brain-tumor-classification-by-transfer-learning", "kernel_id": "20458365"}, {"ref": "berkayuyar/brain-tumor-eda", "kernel_id": "20180181"}, {"ref": "ghaiyur/ef3d-btum", "kernel_id": "20077823"}, {"ref": "slm37102/csv-folder-for-brain-tumor", "kernel_id": "20459005"}, {"ref": "ayuraj/resampled-voxel-dataset-with-kagglerecipes-w-b", "kernel_id": "20121588"}, {"ref": "pranavjadhav/predict-test", "kernel_id": "20287456"}, {"ref": "pranavjadhav/train-transformer", "kernel_id": "20214806"}, {"ref": "pranavjadhav/eff-3d-train", "kernel_id": "20128375"}, {"ref": "pranavjadhav/conv3d-train", "kernel_id": "20085782"}, {"ref": "pranavjadhav/pytorch-3d", "kernel_id": "20954356"}, {"ref": "arturhcpereira/rsna-miccai-submission", "kernel_id": "20535269"}, {"ref": "nanguyen/brain-tumor-split-data", "kernel_id": "20597580"}, {"ref": "tommzzhou/extensive-eda", "kernel_id": "20489184"}, {"ref": "huyquoctrinh/stack-inference", "kernel_id": "20448328"}, {"ref": "huyquoctrinh/efficientnetv2-2d-modi", "kernel_id": "20765677"}, {"ref": "elcaiseri/pytorch-all-mri-types-once-is-what-u-need", "kernel_id": "20070016"}, {"ref": "cevangelist/mobilenetv3-like-with-embeddings-for-voxel-data", "kernel_id": "20183882"}, {"ref": "vadbeg/dicom-to-nifti-converting", "kernel_id": "20672249"}, {"ref": "vadbeg/tumor-3d-segmentation-inference", "kernel_id": "20689298"}, {"ref": "vadbeg/brain-classification", "kernel_id": "20262478"}, {"ref": "stpeteishii/rsna-brain-tumor-labelme-annotation-for-yolo", "kernel_id": "20602664"}, {"ref": "rickandjoe/images-with-the-most-nonzero-pixels", "kernel_id": "20198301"}, {"ref": "rickandjoe/extract-metadata-from-dicom", "kernel_id": "20201162"}, {"ref": "rickandjoe/mri-orientation-axial-sagittal-or-coronal", "kernel_id": "20250322"}, {"ref": "rickandjoe/rsna-miccai-brain-tumor-domain-knowledge-eda", "kernel_id": "20111833"}, {"ref": "janvichokshi/tumor-detection-using-opencv-eda", "kernel_id": "20384192"}, {"ref": "gunesevitan/rsna-miccai-btrc-inference-and-blend", "kernel_id": "20904588"}, {"ref": "mrfrancois/train-2d-cnn-on-set-of-images", "kernel_id": "20138328"}, {"ref": "mmellinger66/brain-tumor-basic-tensorflow-model", "kernel_id": "20952971"}, {"ref": "ramiiii/pytorch-all-mri-types-inference", "kernel_id": "20241791"}, {"ref": "magnusbarata/generate-normalized-voxels", "kernel_id": "20135723"}, {"ref": "deepaa28/brain-tumor-eda-with-animations-and-modeling", "kernel_id": "20362298"}, {"ref": "susant4learning/brain-tumor-understanding-the-data", "kernel_id": "20029100"}, {"ref": "chamecall/brain-tumor-task1-task2-eda", "kernel_id": "20205066"}, {"ref": "chamecall/brain-tumor-useful-methods", "kernel_id": "20080298"}, {"ref": "pronoma/finetuning-pytorch-models", "kernel_id": "20635701"}, {"ref": "xiyoumocao/cnn-tensorflow-resnet50", "kernel_id": "20018030"}, {"ref": "parhamzm/brain-tumor-3d-classification-pytorch", "kernel_id": "20981853"}, {"ref": "hazigin/tf-rsna-miccai-competition-with-tfrecord", "kernel_id": "20302274"}, {"ref": "hazigin/rsna-miccai-brain-multiinput", "kernel_id": "20639384"}, {"ref": "zefirchik/t1wce-maximum-response2", "kernel_id": "20481338"}, {"ref": "dhruvkhatri/rsna-1-tf", "kernel_id": "20636505"}, {"ref": "sentrankim/monai-brain-tumor", "kernel_id": "20012634"}, {"ref": "abdelrhmanhosny/brain-tumor-classification", "kernel_id": "20618096"}, {"ref": "abdelrhmanhosny/rsna-braintumor-datapreprocessing", "kernel_id": "20951441"}, {"ref": "vipran/this-is-not-clone-one", "kernel_id": "20211672"}, {"ref": "pedroyvesfracari/test1e", "kernel_id": "20999167"}, {"ref": "normalkim0/rsna-brain-simple-eda-dataset", "kernel_id": "20497319"}, {"ref": "hamza3e/brain-tumor-radiogenomic-classification", "kernel_id": "20648088"}, {"ref": "pranshu15/skipping-slices", "kernel_id": "20925626"}, {"ref": "lonnieqin/brain-tumour-classification-v6", "kernel_id": "20230566"}, {"ref": "omarzima/3dconv-inception", "kernel_id": "20105406"}, {"ref": "trinayanbharadwaj/rsna-miccai-competition-model-building", "kernel_id": "20164634"}, {"ref": "davidbroberts/determining-mr-slice-orientation", "kernel_id": "20244216"}, {"ref": "davidbroberts/standardizing-mr-images", "kernel_id": "20034687"}, {"ref": "davidbroberts/brain-tumor-object-detection", "kernel_id": "20913460"}, {"ref": "davidbroberts/brain-tumor-yolo-od-train", "kernel_id": "20978381"}, {"ref": "bilinli/inference-rsna", "kernel_id": "20719042"}, {"ref": "kavehshahhosseini/rsna-brain-tumor-tensorflow-tpu-tfrecords-train", "kernel_id": "20029457"}, {"ref": "kavehshahhosseini/rsna-brain-tumor-convert-dicom-to-tfrecord", "kernel_id": "20066766"}, {"ref": "polomarco/btrc-3d-image-visualization-from-pixels-to-voxels", "kernel_id": "20445251"}, {"ref": "yusufmuhammedraji/tensorflow-with-random-seed-ensemble", "kernel_id": "20970400"}, {"ref": "d223chen/rsna-miccai-competition-dynamic-programming", "kernel_id": "20196419"}, {"ref": "sreevishnudamodaran/rsna-3d-clahe-voxels-tpu-3d-augmentations", "kernel_id": "20386768"}, {"ref": "sreevishnudamodaran/tpu-rsna-keras-3d-cnn-voxel-train", "kernel_id": "20401889"}, {"ref": "srikanthmachiraju/predict-genetic-biomarker-in-brain-tumor-eda", "kernel_id": "20045423"}, {"ref": "srikanthmachiraju/rsna-miccai-brain-tumor-crnn-infer", "kernel_id": "20489257"}, {"ref": "srikanthmachiraju/rsna-miccai-brain-tumor-conv3d-one-mri-kfold-train", "kernel_id": "20876903"}, {"ref": "srikanthmachiraju/genetic-biomarker-prediction-with-crnn-train", "kernel_id": "20536951"}, {"ref": "srikanthmachiraju/rsna-miccai-brain-tumor-conv3d-train", "kernel_id": "20681854"}, {"ref": "kanyadharaakash/190030739-rsna", "kernel_id": "20736297"}, {"ref": "selvakumarperumal/btrc-pp", "kernel_id": "20522225"}, {"ref": "abhimanyukarshni/rsna-training", "kernel_id": "20932656"}, {"ref": "abhimanyukarshni/rsna-inference", "kernel_id": "20929171"}, {"ref": "oussamayousre/brain-tumor", "kernel_id": "20137687"}, {"ref": "samarthsharma1408/brain-tumor-classification-transfer-learning", "kernel_id": "20572742"}, {"ref": "nishanthaddagatla/brain-tumor-3d-blender-b6280a", "kernel_id": "20888888"}, {"ref": "catchbat/ensemble-2d-3d-model-inference", "kernel_id": "20949236"}, {"ref": "michaelfumery/brain-tumor-transfert-learning-flair-kfold", "kernel_id": "20232118"}, {"ref": "michaelfumery/brain-tumor-3d-eda-cnn-transfert-learning", "kernel_id": "20181869"}, {"ref": "ammarnassanalhajali/brain-tumor-3d-blender", "kernel_id": "20707615"}, {"ref": "jeonghyunjaej9/notebook8094418c1f", "kernel_id": "20787166"}, {"ref": "rameshsimhadri/single-pass-training", "kernel_id": "20855764"}, {"ref": "luongduongminh/brain-tumor-3d", "kernel_id": "20944468"}, {"ref": "amishra527/brain-tumor-object-detection", "kernel_id": "20953764"}, {"ref": "daniildyryaev/notebook0b228942af", "kernel_id": "20426275"}, {"ref": "krishna18vamsi/notebookf92e1ef218", "kernel_id": "20778853"}, {"ref": "akshita151101/5-competition", "kernel_id": "20737536"}, {"ref": "zaakciiru/dicom-to-nifti-registration-captk", "kernel_id": "20344934"}, {"ref": "bhargavsain/190031199-bhargavsai-n", "kernel_id": "20784906"}, {"ref": "tejareddyd/rsna-miccai-by-teja-30412", "kernel_id": "20905273"}, {"ref": "cynthiazeng/efficientnet3d-with-one-mri-type-c98517", "kernel_id": "20036776"}, {"ref": "nigelyaoj/pytorch-conv3d", "kernel_id": "20945919"}, {"ref": "epitectusagamemnon/multi-input-3d-cnn", "kernel_id": "20292305"}, {"ref": "yuujinleee/rsna-miccai-with-keras-blend", "kernel_id": "20989809"}, {"ref": "kooose/evaluation-comparison-by-mri-type", "kernel_id": "20728444"}, {"ref": "kfk42kfk/saving-test-imgs-2d-approachh", "kernel_id": "20095233"}, {"ref": "shaochiehlin/rsna-torchio-inference-baseline", "kernel_id": "20726929"}, {"ref": "clarksaben/a-test-applying-fourier-transform", "kernel_id": "20440168"}, {"ref": "clarksaben/showcase-adding-decorators-to-functions-quickly", "kernel_id": "20132800"}, {"ref": "victorfernandezalbor/brats-20-win-nnunet-segment-with-brats-21-rsna", "kernel_id": "20415092"}, {"ref": "victorfernandezalbor/brats2021-u-net-segmentation-model-task-1", "kernel_id": "20178375"}, {"ref": "v1olet1nor1/rsna-custom-train", "kernel_id": "20923046"}, {"ref": "ivgona/rnsa-miccai-glioblastoma-eda", "kernel_id": "20055009"}, {"ref": "masatomurakawamm/tf-simple-prediction-with-3dcnn", "kernel_id": "20173282"}, {"ref": "masatomurakawamm/tf-simple-prediction-with-vgg16", "kernel_id": "20081238"}, {"ref": "bpetrb/3d-image-rotation", "kernel_id": "20450980"}, {"ref": "gonzo3832/bt-002-modeef3d-patience3", "kernel_id": "20301340"}, {"ref": "givkashi/download-dataset-in-google-drive-and-use-colab", "kernel_id": "20023103"}, {"ref": "vexxingbanana/simple-pytorch-cnn", "kernel_id": "20796572"}, {"ref": "tanmayg25/rsna-competition", "kernel_id": "20948601"}, {"ref": "manithvazirani/dicom-2-nifti-and-animation", "kernel_id": "20783100"}, {"ref": "shreshthmehrotra/3d-image-preprocessing", "kernel_id": "20988745"}, {"ref": "experienceinai/aivo-vii-nopea", "kernel_id": "20234283"}, {"ref": "adityasharma01/rsna-ensemble-264fca", "kernel_id": "20638948"}, {"ref": "adityasharma01/brain-tumor-basic-tensorflow-model", "kernel_id": "20972935"}, {"ref": "yazanmajzob/from-tensorflow-multi-input-pet-pawpularity-model", "kernel_id": "20865682"}, {"ref": "sandeep2812/brain-tumor", "kernel_id": "20864555"}, {"ref": "srijanpratihar/notebooke27f21d027", "kernel_id": "20598342"}, {"ref": "vincenttu/rsna-miccai-dcm-png-meta-dfs", "kernel_id": "20378317"}, {"ref": "nidadavolusppriyanka/190031190-rsna", "kernel_id": "20720097"}, {"ref": "siddharthkirs/fork-of-mrichallengenote1", "kernel_id": "20984654"}, {"ref": "chansocheattieng/brain-tumor-all-mri-3d-cnn-training", "kernel_id": "20216033"}, {"ref": "chansocheattieng/brain-tumor-all-mri-3d-cnn-inference", "kernel_id": "20073177"}, {"ref": "syerwin/brain-tumor-3d-blender-the-scale-of-models", "kernel_id": "20775423"}, {"ref": "stelis/rsna-btrc-xception2d-imagenet", "kernel_id": "20566243"}, {"ref": "vmuzhichenko/rsna-flair-3d-slices", "kernel_id": "20845006"}, {"ref": "panuvit/first-try", "kernel_id": "20707560"}, {"ref": "formtyan/train-densenet", "kernel_id": "20849584"}, {"ref": "sakilansari786/brain-classification-using-fastai", "kernel_id": "20034422"}, {"ref": "aryaaryan/rsna-miccai-brain-tumor-domain-knowledge-eda", "kernel_id": "20346952"}, {"ref": "anlthms/leaderboard-simulation", "kernel_id": "21331883"}, {"ref": "super13579/vit-vision-transformer-3d-with-one-mri-type", "kernel_id": "21032363"}, {"ref": "rahatkutubi/rsna-miccai-btrc", "kernel_id": "21045893"}, {"ref": "ripcurl/notebookd7ff86a05c", "kernel_id": "21254935"}, {"ref": "authman/subtest", "kernel_id": "21215255"}, {"ref": "mikecho/rsna-miccai-monai-multimodal-2d-cnn-training", "kernel_id": "21529906"}, {"ref": "coderrkj/3d-cnn-model", "kernel_id": "21482972"}, {"ref": "namgalielei/fix-deleted-data-ensemble-brainlstm-v6-tta-zoomin", "kernel_id": "21395825"}, {"ref": "namgalielei/ensemble-brainlstm-v6-tta-zoomin", "kernel_id": "21067759"}, {"ref": "sushmit0109/xray-denoising-draft", "kernel_id": "21036237"}, {"ref": "scarere/rsna-miccai-create-tfrecord-dataset", "kernel_id": "21017877"}, {"ref": "juliojuse/single-model-0-747-2dcnn-inference", "kernel_id": "21239364"}, {"ref": "qitvision/private-lb-simulation", "kernel_id": "21399869"}, {"ref": "greylord1996/resnet34-all-mri", "kernel_id": "21084026"}, {"ref": "pranavjadhav/voxel-predict", "kernel_id": "21147532"}, {"ref": "pranavjadhav/fork-of-eff-3d-train", "kernel_id": "21040201"}, {"ref": "minhnhatphan/rnsa21-cnn-lstm-refactored", "kernel_id": "21386658"}, {"ref": "nanguyen/brain-tumor-try-to-align-cv-with-public-lb", "kernel_id": "21169834"}, {"ref": "nanguyen/brain-tumor-2d-cnn-pytorch-split-by-patient", "kernel_id": "21120111"}, {"ref": "tiboas/3d-cnns-for-brain-tumor-classification", "kernel_id": "21274099"}, {"ref": "huyquoctrinh/multiscale-cnn-4689ae", "kernel_id": "21209496"}, {"ref": "josepc/rsna-effnet-gaussian-process", "kernel_id": "21592314"}, {"ref": "stpeteishii/monai-basic-image-transform", "kernel_id": "21830358"}, {"ref": "cedricsoares/tf-efficientnet-transfer-learning-strat-split", "kernel_id": "21063443"}, {"ref": "mrinath/infer-refactored", "kernel_id": "21349286"}, {"ref": "chanmin03/brain-tumor-basic-keras-simple-2d-cnn-01671d", "kernel_id": "21248358"}, {"ref": "mmellinger66/brain-tumor-kerastuner", "kernel_id": "21037897"}, {"ref": "prakhar154/rsna-practice", "kernel_id": "21205472"}, {"ref": "tegzes/brain-tumor-kerastuner", "kernel_id": "21152336"}, {"ref": "alexandrfrolov/preproc-funcs", "kernel_id": "21076529"}, {"ref": "alexandrfrolov/funcs", "kernel_id": "21054207"}, {"ref": "shimitatsu/fork-of-gru-net-copy3-0-63", "kernel_id": "21120470"}, {"ref": "einchin/brain-tum-rad-classif-densenet201-train", "kernel_id": "21090702"}, {"ref": "igorlashkov/rsna-miccai-btumor-classification-finished", "kernel_id": "21441335"}, {"ref": "jirkaborovec/tumor-classif-lightning-inference", "kernel_id": "21256240"}, {"ref": "jirkaborovec/brain-tumor-classif-lightning-monai-resnet3d", "kernel_id": "21126027"}, {"ref": "sanjayanbu/rsna-competition", "kernel_id": "21057350"}, {"ref": "drtausamaru/final-sub-all-three", "kernel_id": "21266599"}, {"ref": "yutongkai/rsna-resnet50-inference", "kernel_id": "21162807"}, {"ref": "yutongkai/rsna-resnet50-training", "kernel_id": "21122408"}, {"ref": "kavehshahhosseini/sartorius-convert-images-and-masks-to-tfrecord", "kernel_id": "21661455"}, {"ref": "sloshaisolutions/mri-classification-data-pipeline-pytorch", "kernel_id": "21195312"}, {"ref": "sloshaisolutions/classification-mgmt", "kernel_id": "21199083"}, {"ref": "nishanthaddagatla/brain-tumor-3d", "kernel_id": "21039163"}, {"ref": "pollakrit/brain-tumor-new-version", "kernel_id": "21169895"}, {"ref": "pollakrit/brain-tumor-3d-prediction", "kernel_id": "21237963"}, {"ref": "qianhuizheng/rsna-miccai-mix", "kernel_id": "21204226"}, {"ref": "qianhuizheng/rsna-miccai-3dcnn", "kernel_id": "21220763"}, {"ref": "somesh88/cnn-and-lstm-brain-tumor-classification", "kernel_id": "21442780"}, {"ref": "srinivastikkana/190031630-competition-5", "kernel_id": "21279117"}, {"ref": "keithkam/02-kk-image-registration", "kernel_id": "21394481"}, {"ref": "keithkam/01-kk-dimensions-values-distribution", "kernel_id": "21162557"}, {"ref": "tanmayg25/rsna-competition-2", "kernel_id": "21150841"}, {"ref": "tanmayg25/rsna-competition-3", "kernel_id": "21201560"}, {"ref": "shreshthmehrotra/3d-brain-tumor-submission", "kernel_id": "21257165"}, {"ref": "rhythmcam/glob-glob-sort-filepath-read-dcm-by-pydicom", "kernel_id": "21129088"}, {"ref": "adityasharma01/brain-tumor-kerastuner", "kernel_id": "21055380"}, {"ref": "rouarouatbi/brain-tumor", "kernel_id": "21790362"}, {"ref": "shreyagrover01/rsna-eda", "kernel_id": "21423859"}, {"ref": "shakshyathedetector/rsna-miccai-brain-tumor-radiogenomic", "kernel_id": "21092870"}, {"ref": "dylandehili/create-tfrecord-for-3d-image", "kernel_id": "21102341"}, {"ref": "dylandehili/rsna-brain-tumor-submission", "kernel_id": "21209268"}, {"ref": "satoshimts/2dcnn-score-0-746", "kernel_id": "21161064"}, {"ref": "satoshimts/ensamble-test", "kernel_id": "21233080"}, {"ref": "qdstro/submission-test", "kernel_id": "21117146"}, {"ref": "profahmadhussein2010/brain-tumor", "kernel_id": "21526533"}, {"ref": "profahmadhussein2010/brain-tumor-3d", "kernel_id": "21526534"}, {"ref": "profahmadhussein2010/rsna-miccai-competition-0-57385-private", "kernel_id": "21526431"}, {"ref": "profahmadhussein2010/submition-brain-tumor-3d-blender", "kernel_id": "21526369"}, {"ref": "ahemateja19bec1025/rsna-brain-tumor-conv-fda", "kernel_id": "21162692"}, {"ref": "yshuang115/f-one", "kernel_id": "21224004"}, {"ref": "mingaouc/coding4-transfer-learning", "kernel_id": "21548315"}, {"ref": "mingaouc/pytorch-cnn-simple", "kernel_id": "21417320"}, {"ref": "hanbomwoo/ga-kkle-brats-crnn-classification", "kernel_id": "21060449"}, {"ref": "shivamee682003/3d-image-preprocessing-17cd03", "kernel_id": "21072578"}, {"ref": "jypysk/nokfold-test-submission-v0", "kernel_id": "21100875"}, {"ref": "christianhritter/braintumor-pipe", "kernel_id": "22036570"}, {"ref": "allanyiin/rsna-miccai-brain-tumor-baseline", "kernel_id": "22306316"}, {"ref": "allanyiin/rsna-miccai-brain-tumor-3dmodel", "kernel_id": "22302623"}, {"ref": "coderrkj/3d-cnn-model-with-axis-normalization", "kernel_id": "22987332"}, {"ref": "pannumuthu/2d-densenet-u-net-implementations", "kernel_id": "22167713"}, {"ref": "pannumuthu/cs184afinalproject", "kernel_id": "22662470"}, {"ref": "kevinandrescontreras/maestr-a-in-bioingeniera", "kernel_id": "22309770"}, {"ref": "noreddy/projet-vision-baseline-4abc6c", "kernel_id": "22729024"}, {"ref": "aduersarius/machine-learning-project-golovin", "kernel_id": "22963016"}, {"ref": "leandronidas/resnet50-all-exams-v1", "kernel_id": "22768730"}, {"ref": "leandronidas/featurevector-extraction-flair-t1wce", "kernel_id": "22864288"}, {"ref": "leandronidas/baseline-resnet50-v2", "kernel_id": "22851867"}, {"ref": "leandronidas/resnet50-all-exams-v3", "kernel_id": "22872883"}, {"ref": "leandronidas/resnet50-all-exams-v4", "kernel_id": "22908415"}, {"ref": "abdulrhmannassef/visualize-medical-data", "kernel_id": "22872535"}, {"ref": "gabriellavass/u-net", "kernel_id": "22389690"}, {"ref": "pabbisettysriranga/brain-tumor-kerastuner", "kernel_id": "22068199"}, {"ref": "muchabean/tf-simple-prediction-with-3dcnn", "kernel_id": "22477511"}, {"ref": "prernaluthra/dl-project", "kernel_id": "22954687"}, {"ref": "yashikajain/efficientnet3d", "kernel_id": "23580891"}, {"ref": "tantran0603/rsna-brain-tumor", "kernel_id": "23399241"}, {"ref": "seungseoklee/2d-densenet-u-net-implementations", "kernel_id": "23769296"}, {"ref": "ayushn2000/eda-primary", "kernel_id": "24370196"}, {"ref": "linhpho1/lp-rsna-miccai-v01", "kernel_id": "24522272"}, {"ref": "jatinhmu/brain-tumor-prediction", "kernel_id": "24387108"}, {"ref": "jatinhmu/mainproj", "kernel_id": "24150705"}, {"ref": "batrouniasma/rsna-competition", "kernel_id": "24340441"}, {"ref": "smoschou55/bms-visiontransformer-transformer", "kernel_id": "24154987"}, {"ref": "farida0009/comp-vision", "kernel_id": "25761523"}, {"ref": "abdulrhmannassef/monai-simple-prediction-from-flair", "kernel_id": "25265471"}, {"ref": "bibhabasumohapatra/cnn-on-middle-most-image-t1ce", "kernel_id": "25616430"}, {"ref": "kameroon/compvis2task3", "kernel_id": "25800359"}, {"ref": "tutenstein/rsbrain-tumor-radiogenomic-classification-with-cnn", "kernel_id": "25895310"}, {"ref": "monpie/rsna-miccai-braintumor-radiogenomic-classification", "kernel_id": "26572471"}, {"ref": "yashraj5/resampled-flair", "kernel_id": "26573730"}, {"ref": "yashraj5/flair-niff", "kernel_id": "26420830"}, {"ref": "somesh88/brain-tumor-classification-tf", "kernel_id": "26689502"}, {"ref": "somesh88/rsna-pytorch-model-building", "kernel_id": "26922074"}, {"ref": "jatinhmu/experimentbraintumor", "kernel_id": "26211769"}, {"ref": "srivatsayaa12345/resnet-model", "kernel_id": "26022841"}, {"ref": "angelguevararos/registraion-segmentation-features", "kernel_id": "26631871"}, {"ref": "nurbalqishanum/brain-tumor-radiogenomic-classification-resnet50", "kernel_id": "26569712"}, {"ref": "tutenstein/basic-radiogenomic-classification-with-resnet-50", "kernel_id": "26046525"}, {"ref": "bonthavenugopal/venu-rsna", "kernel_id": "26439587"}, {"ref": "vrushabhshirpurkarq/model-training-submission", "kernel_id": "26966069"}, {"ref": "samaujs/rsna-miccai-eda", "kernel_id": "27287687"}, {"ref": "datakite/rsna-miccai-radiogenomic", "kernel_id": "27664926"}, {"ref": "slavkoprytula/3d-resnet-evaluation", "kernel_id": "27480010"}, {"ref": "slavkoprytula/3d-resnet-train", "kernel_id": "27067376"}, {"ref": "shivani870/brain", "kernel_id": "27860895"}, {"ref": "nurbalqishanum/brain-tumor-cnn", "kernel_id": "27271155"}, {"ref": "weitsanouo/single-model-0-747-2dcnn-inference", "kernel_id": "27751800"}, {"ref": "weitsanouo/rsna-miccai-2dcnn-training", "kernel_id": "27955889"}, {"ref": "faisalaltaf/trial-2-efficientnetv2", "kernel_id": "27815565"}, {"ref": "vrushabhshirpurkarq/submission-notebook", "kernel_id": "27356370"}, {"ref": "wuyunan2168/tf-3d-2d-model-for-brain-tumor-classif-21dc7d", "kernel_id": "28374650"}, {"ref": "kevinandrescontreras/1-full-cancer-cerebro", "kernel_id": "28026040"}, {"ref": "wyn2168/tf-3d-2d-model-for-brain-tumor-classification", "kernel_id": "29608791"}, {"ref": "houssamelcheairi/fork-of-recitation-i-assignment", "kernel_id": "29285108"}, {"ref": "rohanprospects/simple-3d-image-classification-model", "kernel_id": "29389563"}, {"ref": "jiayukamessizhao/recitation-i-orc-common-experience", "kernel_id": "29100339"}, {"ref": "jiayukamessizhao/recitation-i-assignment", "kernel_id": "29158078"}, {"ref": "shreyasnbhambore/3d-model-reconstruction", "kernel_id": "30635300"}, {"ref": "myominhtet/learning-medical-image", "kernel_id": "31791322"}, {"ref": "zhangxyi/task1-segmentation-interactive-3d-eda", "kernel_id": "32168896"}, {"ref": "ipythonx/keras-rsna-breast-cancer-detection", "kernel_id": "33005877"}, {"ref": "afaanansari/brain-mri-dataset-training-specific", "kernel_id": "33776941"}, {"ref": "widhiwinata/brain-tumor-object-detection", "kernel_id": "33417682"}, {"ref": "manarmaged/brain-tumor-object-detection", "kernel_id": "33155138"}, {"ref": "jawherjabri/brain-tumor-detection", "kernel_id": "33899011"}, {"ref": "ebraraltas/3d-cnn", "kernel_id": "34440604"}, {"ref": "ebraraltas/brain-tumor-3d-multimodal-cnn-all-mri-type", "kernel_id": "34552639"}, {"ref": "lamnguyen22/convert", "kernel_id": "34667364"}, {"ref": "anirbanplabon/btc-miccai-2", "kernel_id": "35599053"}, {"ref": "askarovalakbar/comp-vision-assignment-2", "kernel_id": "36854124"}, {"ref": "deepan2486/unet-resnet-cropped-stack-effnetb7-resnet18", "kernel_id": "36469485"}, {"ref": "novo2kxd/efficientnet3d-with-one-mri-type", "kernel_id": "36078615"}, {"ref": "imadhammadi/transformer4", "kernel_id": "36790345"}, {"ref": "kevinandrescontreras/cerebro-1", "kernel_id": "38291733"}, {"ref": "yannicksteph/u-net-cv-brain-prediction", "kernel_id": "38521430"}, {"ref": "falahgatea/brain-tumor-yolo-od-train", "kernel_id": "38426147"}, {"ref": "kebinandrescontreras/maestr-a-cubo", "kernel_id": "38066380"}, {"ref": "kebinandrescontreras/clean-code-glioblastoma", "kernel_id": "38132727"}, {"ref": "chuthdhng/brain-tumor-as-video-classification-w-b", "kernel_id": "38583212"}, {"ref": "cayetano108/prueba-radiomica", "kernel_id": "38542730"}, {"ref": "muskar/mgmtp-classification-using-resnet50-effecientv25", "kernel_id": "38185824"}, {"ref": "lamyaalshammari/brain-tumor-radiogenomic-classification-by-cnn", "kernel_id": "38818291"}, {"ref": "kebinandrescontreras/full-codigo", "kernel_id": "39884513"}, {"ref": "mohanpradeep32/vit-3d-model-predictions", "kernel_id": "39861394"}, {"ref": "chuyu99/d-ng-3d-point-cloud-c-vi-n-chi-n", "kernel_id": "39783507"}, {"ref": "tranlamhuy/brain-tumor-object-detection", "kernel_id": "39567378"}, {"ref": "tuytnhilmtgfg/3d-n-o", "kernel_id": "39008423"}, {"ref": "tuytnhilmtgfg/3d-n-oooooooooooooooooooooo", "kernel_id": "39190042"}, {"ref": "khyathiyadlapalli/notebook171f8011af", "kernel_id": "39263574"}, {"ref": "asushero/pytorch-train-rsna-video-classification-w-b", "kernel_id": "39734513"}, {"ref": "tuytnhilmneh/3d-ch-nh", "kernel_id": "39777549"}, {"ref": "kevinandrescontreras/master", "kernel_id": "40220667"}, {"ref": "monicasusan/through-the-eyes-of-ai", "kernel_id": "40699943"}, {"ref": "anantvashistha/15-090ceor", "kernel_id": "41365216"}, {"ref": "anantvashistha/submission", "kernel_id": "41368939"}, {"ref": "kevinandrescontreras/master-1", "kernel_id": "42786888"}, {"ref": "lanzy007/rsna-miccai-brain-tumor-radiogenomic-classificatio", "kernel_id": "43672245"}, {"ref": "yannicksteph/cnn-cv-brain-prediction", "kernel_id": "43440622"}, {"ref": "yannicksteph/pca-cv-brain-prediction", "kernel_id": "43678337"}, {"ref": "kebinandrescontreras/29-2023", "kernel_id": "43567769"}, {"ref": "skloveyyp/efficientnet3d-with-one-mri-type", "kernel_id": "43866621"}, {"ref": "mercankuscu/kontrast", "kernel_id": "43137697"}, {"ref": "mutasimbillahnoman/torch-efficientnet3d-for-mri-no-train", "kernel_id": "43129583"}, {"ref": "alexmorerog/brain-tumor-eda-with-animations-and-modeling", "kernel_id": "44876744"}, {"ref": "rahmatullahmahin/3d-point-cloud-brain-tumor", "kernel_id": "44858521"}, {"ref": "coinshot/brain-tumor-radiogenomic-classification-model", "kernel_id": "44146274"}, {"ref": "kevinandrescontreras/glioblastoma-cubo", "kernel_id": "45228698"}, {"ref": "matteuscruz/brain-tumor-minimal-cnn-testes", "kernel_id": "45173409"}, {"ref": "nikola/brain-tumor-eda-with-animations-and-modeling", "kernel_id": "47916223"}, {"ref": "rmamohamed/vit-vision-transform-3d-with-one-mri-type", "kernel_id": "48874513"}, {"ref": "hiugip/brain-tumor-3d-training", "kernel_id": "50464133"}, {"ref": "naitikmohanty/brain-tumor-segmentation-and-exploratory-analysis", "kernel_id": "50302429"}, {"ref": "kikashi/brain-tumor-understanding-the-data", "kernel_id": "50193431"}, {"ref": "domingao/tfm-1-0-eda", "kernel_id": "52932293"}, {"ref": "scifivyvignesh/rsna-miccai-monai-ensemble-model", "kernel_id": "52341858"}, {"ref": "scifivyvignesh/monai-simple-prediction-from-flair", "kernel_id": "52344511"}, {"ref": "domingao/tfm-primer-entrenamiento-efficientnet-3d", "kernel_id": "53886574"}, {"ref": "tanvirahmedcornell/cnn-mlhealth", "kernel_id": "53407367"}, {"ref": "gjmrem/brats2017", "kernel_id": "54544790"}, {"ref": "naifalghabra/brain-tumor-eda-with-animations-and-modeling", "kernel_id": "55810102"}, {"ref": "johnlqd/brain-tumor-v2", "kernel_id": "57834148"}, {"ref": "johnlqd/brain-tumor", "kernel_id": "57669629"}, {"ref": "nguyenquangthinhus/notebook94c013c048", "kernel_id": "57257481"}, {"ref": "nguyenquangthinhus/brain-tumor", "kernel_id": "57809666"}, {"ref": "grolakr/hesaplanabilir-sinirbilim-proje-2", "kernel_id": "58052113"}, {"ref": "johnlqd/baseline-braintumor-inference", "kernel_id": "58035188"}, {"ref": "johnlqd/baseline-braintumor", "kernel_id": "58035202"}, {"ref": "johnlqd/brain-tumor-3624f6", "kernel_id": "58018575"}, {"ref": "nguyenquangthinhus/rnsa-21-cnn-lstm-train-b55581", "kernel_id": "58524780"}, {"ref": "nguyenquangthinhus/rnsa-21-cnn-transformer-inference-c9a26d", "kernel_id": "58381099"}, {"ref": "nguyenquangthinhus/rnsa-21-cnn-transformer-train-1e04a2", "kernel_id": "58382557"}, {"ref": "nguyenquangthinhus/rnsa-21-cnn-lstm-inference", "kernel_id": "58340122"}, {"ref": "nguyenquangthinhus/baseline-braintumor-7830b9-0bf049", "kernel_id": "58170216"}, {"ref": "thokieuus/rnsa-21-cnn-transformer-train-1e04a2", "kernel_id": "58515541"}, {"ref": "thokieuus/rnsa-21-cnn-lstm-train-b55581", "kernel_id": "58525007"}, {"ref": "thokieuus/baseline-braintumor-7830b9-0bf049", "kernel_id": "58529435"}, {"ref": "trqduy/baseline-braintumor-7830b9-0bf049-5e56fe", "kernel_id": "60512413"}, {"ref": "thokieuus/baseline-braintumor-7830b9-0bf049-6ef760", "kernel_id": "60876492"}, {"ref": "nguyenquangthinhus/rnsa-21-cnn-lstm-train-47e660", "kernel_id": "61550047"}, {"ref": "nguyenquangthinhus/baseline-braintumor-7830b9-0bf049-6ef760", "kernel_id": "61572633"}, {"ref": "thokieuus/baseline-braintumor-7830b9-0bf049-6ef760-5c2ba4", "kernel_id": "61802612"}, {"ref": "nqtus2/baseline-braintumor-7830b9-0bf049-6ef760-5c-f3050f", "kernel_id": "61920940"}, {"ref": "nqtus2/notebookcf41969adf", "kernel_id": "61929743"}, {"ref": "lisaxeverest/15-090orce-r1-submission", "kernel_id": "62971333"}, {"ref": "phantnlcnguyn/brain-tumor-object-detection-yolov9-main", "kernel_id": "62826537"}, {"ref": "vasanthkumarchoda/rsna-miccai-brain-tumor-classification", "kernel_id": "63082595"}, {"ref": "lannguyenthituyet/btod-yolo10-createlabels-lan2", "kernel_id": "63891652"}, {"ref": "thudo25/btod-yolo10-createlabels-lan2", "kernel_id": "64230561"}, {"ref": "kodurusanath/braintumorclassification-3d-u-net", "kernel_id": "65470412"}, {"ref": "mohith202/tumor-segmentation-using-densenet121", "kernel_id": "67881803"}, {"ref": "mdusmanhanif/brats-2021-classification-task", "kernel_id": "70457438"}, {"ref": "qasimchadhar/brain-tumor-implementation", "kernel_id": "71168777"}, {"ref": "hamzaidrissi/notebook237cd8783d", "kernel_id": "71609012"}, {"ref": "maha20022/predict-genetic-biomarker-in-brain-tumor-cnn", "kernel_id": "71018665"}, {"ref": "qasimchadhar/tumor-vs-non-tumor-brats2021", "kernel_id": "72342670"}, {"ref": "starry001/brain-tumor-3d-inference", "kernel_id": "73432438"}, {"ref": "sheikhiftekharahmed/2nd-place-solution-cnn-lstm-train", "kernel_id": "74787144"}, {"ref": "moundir8/pfe-m2-df", "kernel_id": "77758928"}, {"ref": "chandishadas/brain-tumor-classification", "kernel_id": "78431633"}, {"ref": "trnhquangminh140/manual-voi-lut-on-mr-images-trinhquangminh", "kernel_id": "78661068"}, {"ref": "imsatyasaiteja003/project-april2025", "kernel_id": "79353519"}, {"ref": "rapolunikitha/mobilenet-brain-tumor-radiogenomic-classification", "kernel_id": "80517295"}, {"ref": "rapolunikitha/inceptionv3-braintumorradiogenomicclassification", "kernel_id": "80517202"}, {"ref": "rapolunikitha/eanet-brain-tumor-radiogenomic-classification", "kernel_id": "80516659"}, {"ref": "varshithbachu/brain-tumor-radiogenomic-classification-resnet50", "kernel_id": "80519250"}, {"ref": "rapolunikitha/vgg16-brain-tumor-radiogenomic-classification", "kernel_id": "81747089"}, {"ref": "rapolunikitha/attention-based-mil-new-method-i", "kernel_id": "81890252"}, {"ref": "rapolunikitha/swin-transformers-new-method-iii", "kernel_id": "81893202"}, {"ref": "rapolunikitha/vit-brain-tumor-radiogenomic-classification", "kernel_id": "81894295"}, {"ref": "varshithbachu/cnn-model", "kernel_id": "81718963"}, {"ref": "varshithbachu/efficientnetv2", "kernel_id": "81724086"}, {"ref": "varshithbachu/imagec", "kernel_id": "81863819"}, {"ref": "varshithbachu/mltimodal-concat", "kernel_id": "81857906"}, {"ref": "varshithbachu/vgg19-n", "kernel_id": "81915601"}, {"ref": "gaoyang142/dcm-extract-the-feature-map", "kernel_id": "82143193"}, {"ref": "rapolunikitha/fuzzy-ensemble-for-mgmt-prediction-new-method-ii", "kernel_id": "82378845"}, {"ref": "varshithbachu/densenet-121-new", "kernel_id": "82191541"}, {"ref": "varshithbachu/efficient-net", "kernel_id": "82444233"}, {"ref": "muhammadrajif/flair-cnn", "kernel_id": "83952833"}, {"ref": "muhammadrajif/notebookdae4aca637", "kernel_id": "83985733"}, {"ref": "fradinkaameliae/progress-analisis-data-medis", "kernel_id": "83226031"}, {"ref": "muhammadrajif/notebookde6656af06", "kernel_id": "84004859"}, {"ref": "fradinkaameliae/ensemble", "kernel_id": "84214001"}, {"ref": "sandeepsharma94169/effnet-lstm-classifier", "kernel_id": "85935138"}, {"ref": "sandeepsharma94169/rsna-baseline-cnn3d", "kernel_id": "85815383"}, {"ref": "devagangapillai/brain-tumor-reconstruction", "kernel_id": "85188637"}, {"ref": "sandeepsharma94169/rsna-2021-baseline3", "kernel_id": "86326598"}, {"ref": "tinfufans/anonymize-and-clean", "kernel_id": "87256677"}, {"ref": "zhangjingarno/lggmri", "kernel_id": "92613882"}, {"ref": "firdausmuafi/kssd-uts", "kernel_id": "94240011"}, {"ref": "sutoyo/kssd-project-mri", "kernel_id": "94770320"}, {"ref": "abdelrahmanhaggag/rsna-miccai-brain-tumor-radiogenomic-classify", "kernel_id": "95175548"}, {"ref": "trnnamnhtanh/drylab-rsna-ver1", "kernel_id": "96254133"}, {"ref": "sophiasarahmurmu/notebook8876290faf", "kernel_id": "96893624"}, {"ref": "unknnnon/brats", "kernel_id": "97957822"}, {"ref": "bishalpaul02/bio-diffbridge-virtual-staining", "kernel_id": "105911093"}, {"ref": "raj072004/vedic-ai", "kernel_id": "110985792"}, {"ref": "hoangtuhadong/model2ofbrain", "kernel_id": "112251330"}, {"ref": "mondaldebasish05/radiogenomics", "kernel_id": "112057200"}, {"ref": "hamzaharmanhusni/radiogenomics-analysis-framework", "kernel_id": "113962120"}, {"ref": "hamzaharmanhusni/radiogenomics-research", "kernel_id": "113943569"}, {"ref": "hoangtuhadong/data-processing-simple", "kernel_id": "113100316"}, {"ref": "proximaditya/braintumorntcc", "kernel_id": "116894550"}, {"ref": "akhileshkusum/10-methods", "kernel_id": "117911925"}, {"ref": "wasim2019/brain-tumor-3d-multimodal-cnn-wasim", "kernel_id": "118973120"}, {"ref": "sscisciolo/brain-tumor-3d-multimodal-cnn-all-mri-t-e341de", "kernel_id": "118100471"}, {"ref": "akhileshkusum/notebook579dfe2d07", "kernel_id": "118431836"}, {"ref": "sscisciolo/brain-tumor-3d-multimodal-cnn-wasim-83c609", "kernel_id": "119821950"}, {"ref": "wasim2019/brain-tumor-3d-multimodal-cnn-v2", "kernel_id": "121093274"}, {"ref": "sscisciolo/brain-tumor-3d-multimodal-cnn-v2", "kernel_id": "121107573"}, {"ref": "sscisciolo/fork-of-brain-tumor-3d-multimodal-cnn-v2", "kernel_id": "122073486"}, {"ref": "sscisciolo/fork-of-fork-of-brain-tumor-3d-multimodal-cnn-v2", "kernel_id": "122995343"}, {"ref": "wasim2019/fork-of-fork-of-brain-tumor-3d-multimodal-cnn-v3", "kernel_id": "125979804"}, {"ref": "hichamamakdouf/biam-tp02", "kernel_id": "125404199"}, {"ref": "soukaynarachdi/soukaina-rachdi", "kernel_id": "125911147"}, {"ref": "jaouadelmorabit/jaouad-el-morabit", "kernel_id": "125910752"}, {"ref": "imanelaaguili/imane-laaguili", "kernel_id": "125910621"}, {"ref": "mohamederrahymy/mohamederrahymy-tp1", "kernel_id": "125916791"}, {"ref": "celestin2026/celestin-ii-loua", "kernel_id": "125911172"}, {"ref": "jihaneelkh/jihane-elkhraibi-tp02", "kernel_id": "125910763"}, {"ref": "tahacheikh/taha-cheikh", "kernel_id": "125910765"}, {"ref": "ibrahimrmili/rmili-ibrahim-biam-tp02", "kernel_id": "125910663"}, {"ref": "hafsarissouni/hafsa-rissouni3-biam", "kernel_id": "125911038"}, {"ref": "arbaouihamza/hamza-arbaoui-v3", "kernel_id": "126620770"}, {"ref": "marouaneelbousairi/marouane-elbousairi", "kernel_id": "126618306"}, {"ref": "bllaouielmamia/el-mamia-ballaoui", "kernel_id": "126588155"}, {"ref": "aminaakkal/akkal-amina-tp02", "kernel_id": "126618650"}, {"ref": "sscisciolo/fork-of-fork-of-brain-tumor-3d-multimodal-cnn-v3", "kernel_id": "126032364"}, {"ref": "mohamederrahymy/mohamederrahymy-biam", "kernel_id": "126614661"}, {"ref": "hafsauser/tp2-hafsa-rhazzal", "kernel_id": "126624451"}, {"ref": "kawtarmoukhaliss/kawtar-moukhaliss", "kernel_id": "126588885"}, {"ref": "fatimasadeq/sadeqfatimazhra", "kernel_id": "126464599"}, {"ref": "elmahdimajdi/notebook8bd7ec9bd8", "kernel_id": "126594692"}, {"ref": "ilyasscodex/ilyass-ghouaghou-biam-tp02", "kernel_id": "126620901"}, {"ref": "zinebbenslimane/zineb-benslimane", "kernel_id": "126635915"}, {"ref": "malikaelmezioui/biam-tp02-malika-el-mezioui", "kernel_id": "126635927"}, {"ref": "watchire685/lakmate-watchire-jessica-biam-tp02", "kernel_id": "126639969"}, {"ref": "hammououbiniz1/oubiniz-hammou-tp02", "kernel_id": "126679103"}, {"ref": "akhmouchkhaoula/akhmouch-khaoula-tp2", "kernel_id": "126606063"}, {"ref": "chaimaerami55r67/rami-chaimae-biam", "kernel_id": "126594675"}, {"ref": "elmahdimajdi02/el-mahdi-majdi", "kernel_id": "126636048"}, {"ref": "sscisciolo/fork-of-fork-of-fork-of-brain-tumor-3d-mult-2a166d", "kernel_id": "127041815"}, {"ref": "sscisciolo/fork-of-fork-of-fork-of-fork-of-brain-tumor-3d-mul", "kernel_id": "127078071"}, {"ref": "sanchayagarwal/cv-lab", "kernel_id": "134119903"}]}
{"competition_id": "29655", "kernels": []}
{"competition_id": "29657", "kernels": [{"ref": "soarersiuhc/notebook10e13f855a", "kernel_id": "18236109"}, {"ref": "jcraggy/nyc-airbnb", "kernel_id": "18562459"}]}
{"competition_id": "29659", "kernels": [{"ref": "ambarish/sliced07-using-lgbm", "kernel_id": "18630258"}, {"ref": "echozuluecho/sliced-s01-e07", "kernel_id": "18564162"}]}
{"competition_id": "29660", "kernels": [{"ref": "ambarish/sliced08-02", "kernel_id": "18729818"}, {"ref": "echozuluecho/sliced-s01e08", "kernel_id": "18729126"}]}
{"competition_id": "29661", "kernels": [{"ref": "ambarish/sliced09-02", "kernel_id": "18889690"}, {"ref": "echozuluecho/sliced-s01-e09", "kernel_id": "18888873"}, {"ref": "fmathews12/predicting-home-runs-with-random-forest-xgboost", "kernel_id": "19972144"}, {"ref": "nickwan/bronze-20230822", "kernel_id": "42371793"}]}
{"competition_id": "29662", "kernels": [{"ref": "astrorunner/trevin-sliced-s01e10", "kernel_id": "19129276"}]}
{"competition_id": "29663", "kernels": []}
{"competition_id": "29664", "kernels": [{"ref": "echozuluecho/sliced-s01-championship", "kernel_id": "19821334"}, {"ref": "jcraggy/sliced-champion", "kernel_id": "20097512"}]}
{"competition_id": "29665", "kernels": []}
{"competition_id": "29667", "kernels": []}
{"competition_id": "29685", "kernels": []}
{"competition_id": "29698", "kernels": [{"ref": "jakoblangenbahn/template-submission", "kernel_id": "18036062"}]}
{"competition_id": "29699", "kernels": []}
{"competition_id": "29703", "kernels": [{"ref": "tomallport/example-notebook", "kernel_id": "18143252"}, {"ref": "kasondekasonde/notebook2b5fcdd008", "kernel_id": "18269171"}, {"ref": "jordonbirks/datern-comp1", "kernel_id": "18269476"}, {"ref": "jordonbirks/notebook6d8fe778d4", "kernel_id": "18296738"}, {"ref": "jordonbirks/daterncomp1-2", "kernel_id": "18297071"}, {"ref": "bobbychandra/bobby-notebook", "kernel_id": "18269397"}, {"ref": "petercastellucci/datern-comp-random-forest", "kernel_id": "18269503"}, {"ref": "lukeveitch/datern-ml-competition", "kernel_id": "18269568"}, {"ref": "henrychunhimyeung/final-version-decision-tree", "kernel_id": "18269180"}, {"ref": "racheladams/predicting-global-sales-of-videogames-project-3-ra", "kernel_id": "18269315"}]}
{"competition_id": "29705", "kernels": [{"ref": "shrutisaxena/wikimedia-eda", "kernel_id": "20528568"}, {"ref": "jpmiller/faster-image-downloads", "kernel_id": "20555970"}, {"ref": "aakashnain/can-we-read-faster", "kernel_id": "20525705"}, {"ref": "msafi04/matching-image-caption-eda", "kernel_id": "20518897"}, {"ref": "thedrcat/wiki-image-caption-eda-and-baseline-new-data", "kernel_id": "20539286"}, {"ref": "hmassa/wikipedia-starter-notebook", "kernel_id": "20815991"}, {"ref": "mpwolke/wikimedia-urllib", "kernel_id": "20515580"}, {"ref": "mpwolke/wikipedia-feather-file", "kernel_id": "20564418"}, {"ref": "mpwolke/plan-b-wiki-images-html", "kernel_id": "20542135"}, {"ref": "udbhavpangotra/eda-wikimedia-image-caption-matching", "kernel_id": "20520489"}, {"ref": "udbhavpangotra/reading-the-data-datatable-works-like-a-charm", "kernel_id": "20536935"}, {"ref": "udbhavpangotra/image-caption-using-tf", "kernel_id": "20569140"}, {"ref": "kalilurrahman/wikimedia-image-text-matching-eda", "kernel_id": "20518521"}, {"ref": "rahulsingh8510/wikipedia-eda", "kernel_id": "20524344"}, {"ref": "phantivia/can-we-read-faster", "kernel_id": "20553668"}, {"ref": "purushottamkumar76/wiki-image-caption-eda-and-baseline-new-data", "kernel_id": "20798144"}, {"ref": "rhythmcam/simple-how-to-use-rapidfuzz", "kernel_id": "20587498"}, {"ref": "rhythmcam/simple-how-to-read-tsv-file", "kernel_id": "20586770"}, {"ref": "adityasharma01/eda-using-urllib-and-rapidfuzz", "kernel_id": "20791240"}, {"ref": "tetsuroasano/eda-using-urllib-and-rapidfuzz", "kernel_id": "20606331"}, {"ref": "saurabhbagchi/eda-using-urllib-and-rapidfuzz", "kernel_id": "21299119"}, {"ref": "nathandiamond/wikipedia-image-caption", "kernel_id": "21791470"}, {"ref": "debarshichanda/pytorch-wikipedia-image-caption-starter", "kernel_id": "21547900"}, {"ref": "debarshichanda/eda-versioning-easy-to-use-dataset", "kernel_id": "21694109"}, {"ref": "bhavinmoriya/wiki-image-caption-eda-and-baseline-new-data", "kernel_id": "21544366"}, {"ref": "bhavinmoriya/faster-image-downloads", "kernel_id": "21543879"}, {"ref": "bhavinmoriya/wikipedia-feather-file", "kernel_id": "21544233"}, {"ref": "mahditavakol/wiki-image-caption-eda-and-baseline-new-data", "kernel_id": "21100123"}, {"ref": "seikimaiihuang/practice", "kernel_id": "21028823"}, {"ref": "rushabhmehta20/notebook2c365b32cb", "kernel_id": "21584788"}, {"ref": "faisaltfc/wikipedia-image-captions-model-with-5-folds", "kernel_id": "22105700"}, {"ref": "mamidalasaraswathi/training-on-english-captions-data-and-inference", "kernel_id": "22068351"}, {"ref": "mamidalasaraswathi/save-low-resolution-image", "kernel_id": "22105737"}, {"ref": "loclaurote/image-caption-generator", "kernel_id": "22312919"}, {"ref": "tommygiang/wikipedia-caption-try-test-v2", "kernel_id": "22283583"}, {"ref": "trungtnnguyn/final-ai-project", "kernel_id": "22996127"}, {"ref": "stellaliu2021/pytorch-wikipedia-image-caption-starter", "kernel_id": "22424674"}, {"ref": "stellaliu2021/wiki-image-caption-eda-and-baseline-new-data", "kernel_id": "22424935"}, {"ref": "loclaurote/wikipedia-challenge-tf-idf", "kernel_id": "23391453"}, {"ref": "rogerwang1/image-caption-generator", "kernel_id": "26537031"}, {"ref": "meaquateetee/notebook1", "kernel_id": "32070335"}, {"ref": "martenro/multilingualclipstart5epochs", "kernel_id": "33983142"}, {"ref": "adityanemiwal/finetuning", "kernel_id": "50700869"}, {"ref": "idrissanim/notebook2199123f89", "kernel_id": "65195730"}, {"ref": "idrissanim/notebook07811dd3a7", "kernel_id": "69781513"}, {"ref": "russe1/reranking", "kernel_id": "104788677"}]}
{"competition_id": "29706", "kernels": []}
{"competition_id": "29707", "kernels": [{"ref": "xacker/notebook46bdecdf03", "kernel_id": "53311617"}]}
{"competition_id": "29711", "kernels": []}
{"competition_id": "29712", "kernels": []}
{"competition_id": "29714", "kernels": []}
{"competition_id": "29723", "kernels": []}
{"competition_id": "29725", "kernels": []}
{"competition_id": "29726", "kernels": []}
{"competition_id": "29737", "kernels": []}
{"competition_id": "29761", "kernels": [{"ref": "ks2019/stratified-tfrecords-training-pipeline", "kernel_id": "11433495"}, {"ref": "ronigur/landmark-retrieval-random-basline", "kernel_id": "19919069"}, {"ref": "inoueu1/landmark-retrieval-recognition-data-compare", "kernel_id": "19748956"}, {"ref": "grapestone5321/google-landmark-retrieval-2021-sample-submission", "kernel_id": "19954968"}, {"ref": "mpwolke/tribute-to-y-isaienkov", "kernel_id": "19706469"}, {"ref": "muhammadzubairkhan92/getting-started-with-glretrieval-2021", "kernel_id": "19598264"}, {"ref": "muhammadimran112233/eda-google-landmark-retrieval-2021", "kernel_id": "19576219"}, {"ref": "wowfattie/delg-global-baseline", "kernel_id": "20043128"}, {"ref": "hidehisaarai1213/glret21-efficientnetb0-baseline-training", "kernel_id": "20196088"}, {"ref": "hidehisaarai1213/glret21-efficientnetb0-baseline-inference", "kernel_id": "20210249"}, {"ref": "deepkim/fold3-eda-landmark-retrieval-eda-stratify", "kernel_id": "20012503"}, {"ref": "ks2019/glr-eff-v2-xl-with-gradient-accumulation", "kernel_id": "20615173"}, {"ref": "ks2019/landmark-retrieval-5th-place-inference-notebook", "kernel_id": "20914226"}, {"ref": "prateekagnihotri/curricularface-and-gradient-accumulation", "kernel_id": "20946334"}, {"ref": "sayantankirtaniya/efficientnet-inference-fork", "kernel_id": "20434582"}, {"ref": "debarshichanda/pytorch-w-b-glret-2021", "kernel_id": "20291931"}, {"ref": "dasinenisaideepthi/landmark-recognition", "kernel_id": "20276951"}, {"ref": "lucamtb/glrecogn21-efficientnetb0-baseline-inference", "kernel_id": "20345662"}, {"ref": "phillipalan/glret21-efficientnetb7-baseline-inference-fa0788", "kernel_id": "20890070"}, {"ref": "takahiroyoshida012/glret21-efficientnetb7-inference", "kernel_id": "20897792"}, {"ref": "fgtohru/glret21-efficientnet-m-baseline-inference", "kernel_id": "20407981"}, {"ref": "rohitozaml/getting-started-with-glretrieval-2021", "kernel_id": "21031679"}, {"ref": "onepathsilkworm/test-notebook", "kernel_id": "21038149"}, {"ref": "bingyicao/rn101-320", "kernel_id": "24688523"}, {"ref": "camaskew/saved-model-timings", "kernel_id": "24398614"}, {"ref": "bingyicao/landmarks-baseline-testing", "kernel_id": "26089251"}, {"ref": "tarkanatakkan/atak-img-retrieve", "kernel_id": "29066405"}, {"ref": "ktgiahieu/glr2021-very-simple-baseline", "kernel_id": "31142734"}, {"ref": "ktgiahieu/glr2021-create-tfrecords", "kernel_id": "31133903"}, {"ref": "tapaskd123/full-data-gldv2-256-validation-4", "kernel_id": "32624959"}, {"ref": "ajinomoto127/uchida", "kernel_id": "32653371"}, {"ref": "cuulcoco/google-landmark-2021", "kernel_id": "33138385"}, {"ref": "confirm/13-kaggle-gld21-inference-py", "kernel_id": "34466464"}, {"ref": "confirm/13-kaggle-gld21-inference-gldv2clean-py", "kernel_id": "34540325"}, {"ref": "rodneybook/5th-gld-v7debugdone-all-data-sc", "kernel_id": "35504810"}, {"ref": "schwalbe10/kaggle-with-wandb", "kernel_id": "43187616"}, {"ref": "laijaihong/image-retrieval-clip", "kernel_id": "83495574"}, {"ref": "vuongtuanminh/vitgal", "kernel_id": "121409556"}]}
{"competition_id": "29762", "kernels": [{"ref": "ks2019/stratified-tfrecords-training-pipeline", "kernel_id": "11433495"}, {"ref": "datafool/pytorch-starter", "kernel_id": "19597982"}, {"ref": "narsil/host-baseline-2020", "kernel_id": "19847394"}, {"ref": "enric1296/model-starter-tensorflow-gem-pool-mixedprec", "kernel_id": "19906131"}, {"ref": "inoueu1/landmark-retrieval-recognition-data-compare", "kernel_id": "19748956"}, {"ref": "christodoulos/starter-notebook-w-preprocessing-and-cnn", "kernel_id": "19620026"}, {"ref": "ursulakaczmarek/large-image-class-k-means-clustering", "kernel_id": "19886240"}, {"ref": "hdsk38/pytorch-starter-train-efficientnet", "kernel_id": "19837365"}, {"ref": "hdsk38/pytorch-starter-inference-efficientnet", "kernel_id": "19839794"}, {"ref": "stpeteishii/landmark-recognition-conv2d", "kernel_id": "19600634"}, {"ref": "michaelscheinfeilda/landmark-recognition-2021-starter", "kernel_id": "19722382"}, {"ref": "drcapa/landmark-recognition-2021-starter", "kernel_id": "19519960"}, {"ref": "tensorchoko/google-landmark-recognition-2021-eda", "kernel_id": "19892351"}, {"ref": "lilinchen/lanmark-inference-test", "kernel_id": "19981774"}, {"ref": "mrigendraagrawal/glr-eda-and-starter", "kernel_id": "19540022"}, {"ref": "mayur7garg/glr-2021-basic-eda", "kernel_id": "19943914"}, {"ref": "lalehsfz/step-by-step-of-glr-in-tensorflow-eda-augmentaion", "kernel_id": "19591692"}, {"ref": "ysprakash/glr-2021-starter-using-fastai", "kernel_id": "19678632"}, {"ref": "ekaterinadranitsyna/baseline-keras-landmarks-classifier", "kernel_id": "19684306"}, {"ref": "davidjlochner/landmark-138982", "kernel_id": "19800364"}, {"ref": "wzhwoody/simplified-resnet-image-augmentation", "kernel_id": "19724144"}, {"ref": "denispotapov/train-inception-v4-pytorch-lightning", "kernel_id": "19728207"}, {"ref": "pratikkoratkp/simple-data-exploring-and-dataset", "kernel_id": "19752960"}, {"ref": "ysthehurricane/landmark-recognition-densenet201-transfer-learning", "kernel_id": "19591480"}, {"ref": "mehrankamal/dataexploration-glrec-2021", "kernel_id": "19709260"}, {"ref": "nizado/test-submission", "kernel_id": "19974189"}, {"ref": "nizado/google-landmark-recognition", "kernel_id": "19954547"}, {"ref": "victorsullivan/google-landmark-recognition", "kernel_id": "19868314"}, {"ref": "rhythmcam/get-file-path-list-by-glob-glob", "kernel_id": "19732423"}, {"ref": "rhythmcam/base-glr-2021-to-submit", "kernel_id": "19947931"}, {"ref": "shivansh002/glr-eda-all-you-need-to-know", "kernel_id": "19697294"}, {"ref": "naitiknakrani/google-location-recognition-2021", "kernel_id": "19575243"}, {"ref": "koktingyap/notebook1ae4dfdd98", "kernel_id": "19908720"}, {"ref": "takedarts/inference-and-submission-pytorch-resnet34", "kernel_id": "20590175"}, {"ref": "ks2019/glr-eff-v2-xl-with-gradient-accumulation", "kernel_id": "20615173"}, {"ref": "prateekagnihotri/curricularface-and-gradient-accumulation", "kernel_id": "20946334"}, {"ref": "prajittr/landmark-recognition-few-shot-learning", "kernel_id": "20622891"}, {"ref": "yunusctn/a-b-testing", "kernel_id": "20706743"}, {"ref": "markwijkhuizen/google-landmark-recognition-2021-tpu-training", "kernel_id": "20204224"}, {"ref": "markwijkhuizen/google-landmark-recognition-2021-tfrecords-res-384", "kernel_id": "20020075"}, {"ref": "markwijkhuizen/goole-landmark-recognition-extra-train-data-pub", "kernel_id": "20617403"}, {"ref": "markwijkhuizen/google-landmark-recognition-extra-data-tfrec-pub", "kernel_id": "20639420"}, {"ref": "naristat/glr-2021-eda-for-outlier-detection", "kernel_id": "20480301"}, {"ref": "khosiyatsabirova/google-landmark-recognition-2021", "kernel_id": "20511493"}, {"ref": "huihui2013bupt/base-glr-2021-to-submit", "kernel_id": "20198450"}, {"ref": "aryannath/glr-2021-using-fast-ai-for-beginners", "kernel_id": "20477688"}, {"ref": "nishanthaddagatla/base-glr-2021-to-submit", "kernel_id": "20217229"}, {"ref": "lucamtb/glrecogn21-efficientnetb0-baseline-inference", "kernel_id": "20345662"}, {"ref": "lucamtb/glm-quick-submitt-sample", "kernel_id": "20231975"}, {"ref": "denispotapov/inference-inception-v4-pytorch-lightning", "kernel_id": "20064293"}, {"ref": "mos3santos/landmark-recognition-2021", "kernel_id": "20929288"}, {"ref": "ripraprupten/research-in-vgis-2021", "kernel_id": "20645824"}, {"ref": "nameytg/train-inference-glr-based-on-pytorch", "kernel_id": "20713363"}, {"ref": "starkkang/simple-but-not-efficiency-with-tensorflow", "kernel_id": "20732095"}, {"ref": "nanamiyvonne/glr2021-infer", "kernel_id": "20505621"}, {"ref": "nanamiyvonne/landmark-global-feature-extract", "kernel_id": "20777253"}, {"ref": "parikshitsharma2001/base-glr-2021-to-submit", "kernel_id": "20684801"}, {"ref": "siddhhaarrth/build-glr", "kernel_id": "20131772"}, {"ref": "takahiroyoshida012/glrecogn21-efficientnetb7-inference", "kernel_id": "20897926"}, {"ref": "harshraone/land-mark-recognition", "kernel_id": "20107477"}, {"ref": "fgtohru/glrec21-efficientnet-m-baseline-inference", "kernel_id": "20676486"}, {"ref": "fgtohru/fork-of-glrec21-efficientnet-m-baseline-inference", "kernel_id": "20774953"}, {"ref": "fgtohru/glret21-efficientnet-m-baseline-inference", "kernel_id": "20407981"}, {"ref": "dariaosk/notebook564ddb1ae0", "kernel_id": "20866897"}, {"ref": "bigwin94/vgis9-ncj", "kernel_id": "20857745"}, {"ref": "jonatanemilsimonsen/research-in-vgis-mini-project", "kernel_id": "21082169"}, {"ref": "annamaj/google-landmark-recognition-vgis-course", "kernel_id": "21236197"}, {"ref": "mohitsinghdhaka/exercise3-notebook-glr2021", "kernel_id": "21984964"}, {"ref": "rhythmcam/pandas-basic-dataframes-and-for-statement", "kernel_id": "22720449"}, {"ref": "codesleepmore/googlelandscape-2021-split", "kernel_id": "22012118"}, {"ref": "houchao1999/notebook340c462eca", "kernel_id": "22694872"}, {"ref": "houchao1999/inference-and-submission-pytorch-resnet34", "kernel_id": "22548475"}, {"ref": "houchao1999/notebook8d0cd61c36", "kernel_id": "23292665"}, {"ref": "sinemsitare/glr-cleaning-and-training", "kernel_id": "26048397"}, {"ref": "siftir/resnet-d28673", "kernel_id": "26441988"}, {"ref": "siftir/resnet", "kernel_id": "26391860"}, {"ref": "somyatomar/transfer-learning", "kernel_id": "26399847"}, {"ref": "somyatomar/notebook70e6b32a0b", "kernel_id": "26389606"}, {"ref": "somyatomar/resnet-d28673", "kernel_id": "26448220"}, {"ref": "somyatomar/fork-of-resnet-d28673", "kernel_id": "26721298"}, {"ref": "javiersj2000/tfg-v6", "kernel_id": "26826191"}, {"ref": "javiersj2000/tfg-v3", "kernel_id": "26367167"}, {"ref": "gexy185/dolg-with-flowers", "kernel_id": "27159619"}, {"ref": "gexy185/dolg-tf", "kernel_id": "27212885"}, {"ref": "gexy185/simple-but-not-efficiency", "kernel_id": "27310252"}, {"ref": "deepak007chaubey/solution-google-landmark-using-resnet34", "kernel_id": "27725178"}, {"ref": "dschettler8845/tf-guie-train-from-scratch-part-1", "kernel_id": "29105530"}, {"ref": "motono0223/guie-generate-tfrecord-glr2021-512pix-mini7k", "kernel_id": "29709132"}, {"ref": "javiersj2000/transfer-learning-resnet50", "kernel_id": "29760920"}, {"ref": "javiersj2000/model-from-scratch", "kernel_id": "29654544"}, {"ref": "emphymachine/how-to-make-tfrecords-glr2021", "kernel_id": "30348672"}, {"ref": "camryanwashere/notebook", "kernel_id": "30003520"}, {"ref": "ktgiahieu/glr2021-very-simple-baseline", "kernel_id": "31142734"}, {"ref": "ktgiahieu/glr2021-create-tfrecords", "kernel_id": "31133903"}, {"ref": "borderb/landmark-recognition-v3", "kernel_id": "31771645"}, {"ref": "emphymachine/21-glob", "kernel_id": "32279616"}, {"ref": "emphymachine/33-35-shutil-zipfile-time-calendar", "kernel_id": "32454733"}, {"ref": "navyaaaaa/cb-finding-landmarks-in-images", "kernel_id": "33468851"}, {"ref": "charlievinensig/landmark-recognition-charlie-vinensig", "kernel_id": "34017877"}, {"ref": "somya084/resnet-d28673", "kernel_id": "35531610"}, {"ref": "mona729/glrecogn21-efficientnetb0-baseline-inference", "kernel_id": "35484575"}, {"ref": "marshallcao/tf-guie-train-from-scratch-part-1", "kernel_id": "37439136"}, {"ref": "taegeunlim/landmark-2021-demo-for-starters", "kernel_id": "37241032"}, {"ref": "suraj520/ctrl-know-train-infer", "kernel_id": "39037843"}, {"ref": "kritikaparmargfg/notebook24a3d2cbc2", "kernel_id": "40189200"}, {"ref": "mrigendrachauhan/google-landmark-recognition-using-mobilenetv2", "kernel_id": "42290973"}, {"ref": "thiagopda/datasets-pre-processing", "kernel_id": "50784631"}, {"ref": "vcsaisanthosh/final-landmark-location", "kernel_id": "51642951"}, {"ref": "vcsaisanthosh/landmark-location", "kernel_id": "51637611"}, {"ref": "duythinguyn/training-embedding-learning", "kernel_id": "54996283"}, {"ref": "twarner/googlelandmarks", "kernel_id": "66854746"}, {"ref": "dineshpotla/landmark-recognition", "kernel_id": "71436948"}, {"ref": "aniketkonkar/glr-2021-cv-final-project", "kernel_id": "72291016"}, {"ref": "vuhoangnhatanh/gldv2-eda", "kernel_id": "79982634"}, {"ref": "moumita3/notebook339b530e71", "kernel_id": "80918319"}, {"ref": "rohitmbhise/cs444-project", "kernel_id": "81134759"}, {"ref": "nguyenthanhminh01/resnet50-google", "kernel_id": "82396106"}, {"ref": "nguyenthanhminh01/democv", "kernel_id": "82661339"}, {"ref": "vuhoangnhatanh/landmark-or-non-landmark-identification", "kernel_id": "82643929"}, {"ref": "vuhoangnhatanh/democv", "kernel_id": "82665479"}, {"ref": "vuhoangnhatanh/resnet50-google", "kernel_id": "82171870"}, {"ref": "vuhoangnhatanh/efficientnet-delf-rank", "kernel_id": "82619632"}, {"ref": "vuhoangnhatanh/dolg-resnet", "kernel_id": "82528914"}, {"ref": "nguyenthanhminh01/democv-f6cc72", "kernel_id": "83171334"}, {"ref": "mohammadkhanfau/notebookglr-v1", "kernel_id": "103678885"}, {"ref": "chengliyuan/dinoehst", "kernel_id": "104538826"}, {"ref": "olamiposia/movie-theater", "kernel_id": "121351260"}, {"ref": "devashokc/landmark-recognition-v3-ipynb-on-kaggle", "kernel_id": "129566126"}, {"ref": "thariqarsath/landmark-recognition-v3-ipynb-on-kaggle", "kernel_id": "130709384"}]}
{"competition_id": "29770", "kernels": []}
{"competition_id": "29776", "kernels": []}
{"competition_id": "29781", "kernels": [{"ref": "ryanholbrook/exercise-seasonality", "kernel_id": "19615991"}, {"ref": "ryanholbrook/hybrid-models", "kernel_id": "19615995"}, {"ref": "ryanholbrook/exercise-linear-regression-with-time-series", "kernel_id": "19615998"}, {"ref": "ryanholbrook/trend", "kernel_id": "19615999"}, {"ref": "ryanholbrook/linear-regression-with-time-series", "kernel_id": "19616001"}, {"ref": "ryanholbrook/exercise-time-series-as-features", "kernel_id": "19616002"}, {"ref": "ryanholbrook/exercise-hybrid-models", "kernel_id": "19616007"}, {"ref": "ryanholbrook/time-series-as-features", "kernel_id": "19616013"}, {"ref": "ryanholbrook/exercise-trend", "kernel_id": "19616015"}, {"ref": "ryanholbrook/seasonality", "kernel_id": "19616017"}, {"ref": "ryanholbrook/exercise-forecasting-with-machine-learning", "kernel_id": "20667477"}, {"ref": "ryanholbrook/forecasting-with-machine-learning", "kernel_id": "20667483"}, {"ref": "maxdiazbattan/titanic-top-4-competition-pipeline-version-2", "kernel_id": "20219914"}, {"ref": "shrutisaxena/store-sales-eda-using-plotly", "kernel_id": "21076520"}, {"ref": "luisblanche/look-what-the-kats-dragged-in", "kernel_id": "21427620"}, {"ref": "luisblanche/pytorch-forecasting-temporalfusiontransformer", "kernel_id": "21754934"}, {"ref": "georgezoto/time-series-time-series-as-features", "kernel_id": "21899233"}, {"ref": "georgezoto/time-series-seasonality", "kernel_id": "21835885"}, {"ref": "georgezoto/time-series-trend", "kernel_id": "21834855"}, {"ref": "georgezoto/time-series-linear-regression", "kernel_id": "21833768"}, {"ref": "dkomyagin/simple-ts-ridge-rf", "kernel_id": "21613216"}, {"ref": "dkomyagin/simple-ts-ridge", "kernel_id": "21371811"}, {"ref": "ekrembayar/store-sales-ts-forecasting-a-comprehensive-guide", "kernel_id": "21405568"}, {"ref": "ekrembayar/holidays-events-data-manipulation-time-features", "kernel_id": "21494621"}, {"ref": "aariasag/exercise-linear-regression-with-time-series", "kernel_id": "21366417"}, {"ref": "ollibolli/vacaciones-en-ecuador-with-galearn", "kernel_id": "21113142"}, {"ref": "himalayaashish/trend-analysis-exercise-for-beginners", "kernel_id": "21379150"}, {"ref": "shivamb/store-sales-forecasting-exploration", "kernel_id": "21045981"}, {"ref": "sachinprabhu007/store-sales-eda-time-series", "kernel_id": "21081086"}, {"ref": "ikaytas/exercise-hybrid-models", "kernel_id": "21977295"}, {"ref": "jaredsavage/store-sales-time-series-forecasting", "kernel_id": "21256842"}, {"ref": "haozhang607/exercise-linear-regression-with-time-series", "kernel_id": "21381148"}, {"ref": "haozhang607/exercise-trend", "kernel_id": "21711805"}, {"ref": "jeffersonm019/timeseries-loja", "kernel_id": "21359135"}, {"ref": "abhishekbhagat31/removing-trend-and-seasonality", "kernel_id": "21650587"}, {"ref": "alibaba19/fastai-training-inference-pipeline", "kernel_id": "21042079"}, {"ref": "yutotsubaki/eda-machine-learning-lightgbm-stacking-etc", "kernel_id": "21091939"}, {"ref": "mmellinger66/store-sales-course-base-model", "kernel_id": "21600150"}, {"ref": "mpwolke/vacaciones-en-ecuador-with-galearn", "kernel_id": "21106771"}, {"ref": "mpwolke/exercise-seasonality", "kernel_id": "21171840"}, {"ref": "mpwolke/exercise-hybrid-models", "kernel_id": "21180595"}, {"ref": "mpwolke/exercise-forecasting-with-machine-learning", "kernel_id": "21181522"}, {"ref": "nobletp/store-time-series-forecasting", "kernel_id": "21657430"}, {"ref": "nobletp/exercise-trend", "kernel_id": "21168431"}, {"ref": "nobletp/exercise-linear-regression-with-time-series", "kernel_id": "21168159"}, {"ref": "berkayalan/linear-regression-with-time-series", "kernel_id": "21353037"}, {"ref": "drcapa/storesales-ts-starter", "kernel_id": "21041310"}, {"ref": "pragya1798/sales-forecasting-basic-try", "kernel_id": "21935807"}, {"ref": "caesarlupum/exercise-linear-regression-with-time-series", "kernel_id": "21354406"}, {"ref": "kayupe/exercise-linear-regression-with-time-series", "kernel_id": "21411732"}, {"ref": "maricinnamon/exercise-hybrid-models", "kernel_id": "21780445"}, {"ref": "maricinnamon/exercise-seasonality", "kernel_id": "21784460"}, {"ref": "maricinnamon/exercise-linear-regression-with-time-series", "kernel_id": "21784092"}, {"ref": "maricinnamon/exercise-trend", "kernel_id": "21784359"}, {"ref": "maricinnamon/store-sales-time-series-forecast-visualization", "kernel_id": "21533428"}, {"ref": "veleirx/store-sales-fast-eda", "kernel_id": "21044666"}, {"ref": "saraswatitiwari/exercise-trend", "kernel_id": "21195210"}, {"ref": "howoojang/first-kaggle-notebook-following-ts-tutorial", "kernel_id": "21065793"}, {"ref": "kalilurrahman/store-sales-eda-prediction-with-orbit", "kernel_id": "21047753"}, {"ref": "kalilurrahman/store-sales-eda-prediction-with-ts", "kernel_id": "21051812"}, {"ref": "bannourchaker/sales-datacurationgroupedtimeseries", "kernel_id": "21300296"}, {"ref": "bannourchaker/sales-crisp-dm-dataunderstanding-part1", "kernel_id": "21274492"}, {"ref": "bannourchaker/sales-crisp-dm-complete-stat-modeling-guide-part1", "kernel_id": "21275670"}, {"ref": "dmitrybunin/store-sales-prediction-with-etna-library", "kernel_id": "21979701"}, {"ref": "imchentouf/store-sales-forecasting", "kernel_id": "21169153"}, {"ref": "seunayegboyin/store-sales-forcasting", "kernel_id": "21302718"}, {"ref": "kashishrastogi/store-sales-analysis-time-serie", "kernel_id": "21070543"}, {"ref": "kashishrastogi/sweet-charts-hand-painted", "kernel_id": "21500969"}, {"ref": "dmitryfomkin/ts-lr-xgb-time-features-ny-pay-days", "kernel_id": "21483039"}, {"ref": "tomonorisasaki/store-sales-time-series-forecasting", "kernel_id": "21330729"}, {"ref": "avtobusbratiev/simple-lb-0-43911-lasso-ridge-nn", "kernel_id": "21321566"}, {"ref": "bhavinmoriya/exercise-linear-regression-with-time-series", "kernel_id": "21239157"}, {"ref": "bhavinmoriya/exercise-trend", "kernel_id": "21240404"}, {"ref": "bhavinmoriya/exercise-seasonality", "kernel_id": "21282791"}, {"ref": "bhavinmoriya/exercise-time-series-as-features", "kernel_id": "21296208"}, {"ref": "tracyporter/store-sales-lr", "kernel_id": "21043052"}, {"ref": "madhuri15/store-sales-time-series-analysis", "kernel_id": "21076360"}, {"ref": "limweixuan1994/store-sales-predictions", "kernel_id": "21998168"}, {"ref": "wongvaritpancharoen/store-sales-ts-forecast-a-beginner-s-notebook", "kernel_id": "21839885"}, {"ref": "fernandapratama/store-sales-forecast-using-linear-model", "kernel_id": "21280002"}, {"ref": "faridrizqis/eda-storesales", "kernel_id": "21465425"}, {"ref": "kobeerose/store-sales-ts-forecast-a-beginner-s-notebook", "kernel_id": "21435543"}, {"ref": "julyantran/simple-mlp", "kernel_id": "21580937"}, {"ref": "mohammedfahadvp/store-sales-forecast", "kernel_id": "21113663"}, {"ref": "sudipg411/eda-feature-engineering-visualization", "kernel_id": "21352730"}, {"ref": "xholisilemantshongo/modeling-sales-3-types-of-regression", "kernel_id": "21686160"}, {"ref": "masamori/eda-for-store-sales-forecasting", "kernel_id": "21935402"}, {"ref": "ajiiscbanglore/timeseries-prediction", "kernel_id": "21252829"}, {"ref": "alexmanens/time-forecasting", "kernel_id": "21597130"}, {"ref": "srikanthrvp/notebookad065074d8", "kernel_id": "21368875"}, {"ref": "srikanthrvp/exercise-trend", "kernel_id": "21369422"}, {"ref": "heirophany/store-comp-store1-modeltest", "kernel_id": "21133475"}, {"ref": "aviral23/time-series-store-sales-analysis-plotly", "kernel_id": "21475040"}, {"ref": "samibenhsan/sbh-full-advanced-time-series-techniques", "kernel_id": "21146942"}, {"ref": "mohamedelsrogy/robust-eda-decision-tree-regression-xgboost", "kernel_id": "21170283"}, {"ref": "jillanisofttech/exercise-linear-regression-with-time-series", "kernel_id": "21442154"}, {"ref": "jillanisofttech/exercise-seasonality", "kernel_id": "21475939"}, {"ref": "rhythmcam/fastai-tabularpandas", "kernel_id": "21164865"}, {"ref": "rhythmcam/pandas-basic-set-index-multi-index", "kernel_id": "21835906"}, {"ref": "rhythmcam/pandas-basic-set-dayofweek-column", "kernel_id": "21827988"}, {"ref": "rhythmcam/pandas-basic-timestamp-datetime-index", "kernel_id": "21825018"}, {"ref": "rhythmcam/pandas-basic-rolling-mean-sum-usage", "kernel_id": "21825922"}, {"ref": "adityasharma01/ts-ridge-rf-by-as", "kernel_id": "21617717"}, {"ref": "adityasharma01/simple-lb-0-43594-lasso-ridge-nn", "kernel_id": "21352193"}, {"ref": "mahditavakol/storesale-lstm", "kernel_id": "21102149"}, {"ref": "mahditavakol/storesale-xgboost", "kernel_id": "21571323"}, {"ref": "mahditavakol/storesale-lstm2", "kernel_id": "21640771"}, {"ref": "alexanderplatonov/store-sales-i-was-in-4th-for-20-mins", "kernel_id": "21123226"}, {"ref": "valentinateslenko/one-of-the-worst-results", "kernel_id": "21125575"}, {"ref": "nesterenkomarina/ss-tsf-cnn-tensorflow-feature-engine-gpu", "kernel_id": "21054778"}, {"ref": "nesterenkomarina/ss-tsf-deep-net-feature-engineering", "kernel_id": "21059541"}, {"ref": "nesterenkomarina/prepare-data-train-deep-net-starter-kit-shifts", "kernel_id": "21117803"}, {"ref": "minhajulhoque/deep-learning-multivariate-rnn-lstm-network", "kernel_id": "21413652"}, {"ref": "vickydas1984/exercise-linear-regression-with-time-series", "kernel_id": "21229395"}, {"ref": "gowthamvasudev/exploratory-data-analysis", "kernel_id": "21060410"}, {"ref": "jestertamonan/store-sales-regression-and-forecast", "kernel_id": "21939785"}, {"ref": "lovroselic/storesales-ls", "kernel_id": "21874071"}, {"ref": "mathurinache/starter-code-store-sales-time-series-forecasting", "kernel_id": "22007081"}, {"ref": "filterjoe/time-series-bonus-lesson-unofficial", "kernel_id": "22223578"}, {"ref": "georgezoto/forecasting-with-machine-learning", "kernel_id": "22092627"}, {"ref": "georgezoto/time-series-forecasting-with-machine-learning", "kernel_id": "22093682"}, {"ref": "neodory/ridge-randomforestregression", "kernel_id": "22979430"}, {"ref": "dcpatton/minirocket-pub", "kernel_id": "22163895"}, {"ref": "ounamg008/store-forecasting-feature-engineering", "kernel_id": "22056992"}, {"ref": "carlmcbrideellis/store-sales-using-the-average-of-the-last-16-days", "kernel_id": "22422568"}, {"ref": "carlmcbrideellis/store-sales-naive-one-day-model", "kernel_id": "22368807"}, {"ref": "carlmcbrideellis/store-sales-day-of-the-week-model", "kernel_id": "22480412"}, {"ref": "koheishima/store-sales-simple-xg-boost-gpu-lb-0-44579", "kernel_id": "22228684"}, {"ref": "shramanabhattacharya/eda-sales-prediction-using-xgboost", "kernel_id": "22757608"}, {"ref": "jerrywang96/store-sales", "kernel_id": "22252290"}, {"ref": "kwasiransom/store-sales-forecasting", "kernel_id": "22945432"}, {"ref": "bhavinmoriya/exercise-hybrid-models", "kernel_id": "22335614"}, {"ref": "ashutoshrg/a-brief-recap-on-time-series-forecasting", "kernel_id": "22684747"}, {"ref": "firefortysix/exercise-linear-regression-with-time-series", "kernel_id": "22132276"}, {"ref": "tarukon5/exercise-forecasting-with-machine-learning", "kernel_id": "22282848"}, {"ref": "mhmdaris15/time-series-forecasting-with-hybrid-model", "kernel_id": "22377617"}, {"ref": "xholisilemantshongo/storesales-eda", "kernel_id": "22037334"}, {"ref": "florianformentini/store-sales-analysis-and-forecasting", "kernel_id": "22803892"}, {"ref": "grzegorzlippe/exercise-linear-regression-with-time-series", "kernel_id": "22461324"}, {"ref": "baycelik/edit-notebook-4-store-sales-ts-forecasting", "kernel_id": "22066742"}, {"ref": "odins0n/exploring-time-series-plots-beginners-guide", "kernel_id": "22055351"}, {"ref": "shiromeow/time-series-forecasting-with-deep-learning-lstm", "kernel_id": "22887134"}, {"ref": "bayarmaatumurochir/tsa-final-project-eda", "kernel_id": "22942717"}, {"ref": "bayarmaatumurochir/tsa-final-project", "kernel_id": "22931859"}, {"ref": "corneliuskristianto/store-sales-forecasting", "kernel_id": "22350563"}, {"ref": "rizkykiky/hyperparamaters", "kernel_id": "22904775"}, {"ref": "deepakkumargunjetti/grocery-sales-30-day-forcast", "kernel_id": "22297955"}, {"ref": "deepakkumargunjetti/forcast-grocery-sales-in-time-series", "kernel_id": "22227569"}, {"ref": "nejatzileli/discovering-and-gaining-insights", "kernel_id": "22799572"}, {"ref": "jungle0305/project-3", "kernel_id": "22583152"}, {"ref": "sadamalqadi/exercise-linear-regression-with-time-series", "kernel_id": "22019590"}, {"ref": "lovroselic/storesales-seasonality-only-ls-take-2", "kernel_id": "22136670"}, {"ref": "lovroselic/storesales-ls-3", "kernel_id": "22138333"}, {"ref": "alfayizkedawung/alfayiz-kksi", "kernel_id": "22452945"}, {"ref": "szymonmarzec/notebook4819358725", "kernel_id": "22798128"}, {"ref": "michsko544/store-sales-ds-project", "kernel_id": "22800568"}, {"ref": "rkulka14/time-seioes-forecasting-store-sales", "kernel_id": "22969056"}, {"ref": "javi23ruiz/eda-with-plotly-useful-conclusions", "kernel_id": "23531980"}, {"ref": "jackbyte/store-sales-training-and-error-analysis", "kernel_id": "23578064"}, {"ref": "jackbyte/corporaci-n-favorita-store-sales-dashboard", "kernel_id": "23976964"}, {"ref": "shubhamshaah/eda-store-sales-time-series-forecasting", "kernel_id": "23914835"}, {"ref": "shrutikaghosh/notebookf24df89d4b", "kernel_id": "23814383"}, {"ref": "stb61307/time-series-forecasting-20211224", "kernel_id": "23042193"}, {"ref": "akarshsharma/store-sale-time-series-forecasting", "kernel_id": "23618707"}, {"ref": "mustiztemiz/exercise-linear-regression-with-time-series", "kernel_id": "23829107"}, {"ref": "firefortysix/exercise-forecasting-with-machine-learning", "kernel_id": "23666302"}, {"ref": "firefortysix/exercise-hybrid-models", "kernel_id": "23665440"}, {"ref": "firefortysix/exercise-time-series-as-features", "kernel_id": "23663994"}, {"ref": "firefortysix/exercise-trend", "kernel_id": "23659866"}, {"ref": "firefortysix/exercise-seasonality", "kernel_id": "23660131"}, {"ref": "stevensu7/big-data-analysis-project-store-sales-prediction", "kernel_id": "23610022"}, {"ref": "ammarnassanalhajali/store-sales-dashborard-plotly-dash", "kernel_id": "23541682"}, {"ref": "rizkynindra/time-series-rnn-extraction", "kernel_id": "23020137"}, {"ref": "jagaya/store-sales-eda", "kernel_id": "23769584"}, {"ref": "mhadani/store-sales-time-series-forecasting", "kernel_id": "23701831"}, {"ref": "karan842/store-sales-forecasting-eda-lstm", "kernel_id": "23642741"}, {"ref": "yuxuanliu0626/eda-feature-engineering-model-error-analysis", "kernel_id": "23908054"}, {"ref": "sebamosquera/notebook-store-sales-time-series-forecasting", "kernel_id": "23876280"}, {"ref": "mariofrans/time-series-1", "kernel_id": "23800490"}, {"ref": "gilbertobernal/store-sale-prediction", "kernel_id": "23952708"}, {"ref": "janaarthanaharri/exploring-patterns", "kernel_id": "23925279"}, {"ref": "amogh2001pradeep/sales-time-series-eda-feature-engineering", "kernel_id": "23721967"}, {"ref": "weshunt31/projection-of-single-store-sales-using-lin-regress", "kernel_id": "23882494"}, {"ref": "ilyakondrusevich/54-stores-54-models", "kernel_id": "23735231"}, {"ref": "almahmudalmamun/time-series-forecasting", "kernel_id": "23023509"}, {"ref": "jestertamonan/sales-regression-ols-random-forest-and-lgbm", "kernel_id": "23746073"}, {"ref": "brellsanwouo/exercise-forecasting-with-machine-learning", "kernel_id": "23668091"}, {"ref": "brellsanwouo/exercise-time-series-as-features", "kernel_id": "23667466"}, {"ref": "brellsanwouo/exercise-hybrid-models", "kernel_id": "23619632"}, {"ref": "brellsanwouo/exercise-linear-regression-with-time-series", "kernel_id": "23607649"}, {"ref": "brellsanwouo/exercise-trend", "kernel_id": "23609511"}, {"ref": "brellsanwouo/exercise-seasonality", "kernel_id": "23610329"}, {"ref": "qtphan110522604/my-rnn-based-model", "kernel_id": "23093126"}, {"ref": "michsko544/ds-projekt-pil-mig-sko", "kernel_id": "23621372"}, {"ref": "dominiknowocien/ds-czarnecki-nowocien-plachta", "kernel_id": "23592279"}, {"ref": "lalitmohansharma/store-sales", "kernel_id": "23713992"}, {"ref": "chasset/exercise-hybrid-models", "kernel_id": "24492516"}, {"ref": "chasset/exercise-time-series-as-features", "kernel_id": "24482586"}, {"ref": "chasset/exercise-forecasting-with-machine-learning", "kernel_id": "24493939"}, {"ref": "chasset/notebookdf956b1263", "kernel_id": "24509791"}, {"ref": "chasset/exercise-seasonality", "kernel_id": "24466495"}, {"ref": "chasset/exercise-trend", "kernel_id": "24465152"}, {"ref": "chasset/exercise-linear-regression-with-time-series", "kernel_id": "24459381"}, {"ref": "loicge/time-series-forecasting-with-deep-learning-lstms", "kernel_id": "24455866"}, {"ref": "loicge/sales-top-down-approach-with-prophet-0-52", "kernel_id": "24047072"}, {"ref": "aliphya/eda-store-sales", "kernel_id": "24836781"}, {"ref": "maheswarareddyp/storesales-forecasting-reg-time", "kernel_id": "24937532"}, {"ref": "maheswarareddyp/time-series-datacleaning", "kernel_id": "24216976"}, {"ref": "figfiglol/time-series-with-ridge", "kernel_id": "24340787"}, {"ref": "p7476762/xgboostregressor-prediction-eda-disaster", "kernel_id": "24044039"}, {"ref": "raskoshik/time-series-clustering-store-sales", "kernel_id": "24844356"}, {"ref": "isissantoscosta/exercise-linear-regression-with-time-series", "kernel_id": "24351162"}, {"ref": "isissantoscosta/exercise-seasonality", "kernel_id": "24423638"}, {"ref": "isissantoscosta/exercise-trend", "kernel_id": "24400418"}, {"ref": "katarzynabartoszek/data-science", "kernel_id": "24188813"}, {"ref": "motakkar/forecasting-project", "kernel_id": "24919638"}, {"ref": "nailyakhusnullina/storesales-forecasting", "kernel_id": "24182988"}, {"ref": "gjbergues/store-sales-analysis-time-serie", "kernel_id": "24415172"}, {"ref": "kartushovdanil/econometrics-is-all-you-need", "kernel_id": "24287682"}, {"ref": "jagaya/storesales-prediction-wip", "kernel_id": "24492891"}, {"ref": "opkaggle123/t-s-2-exercise-trend", "kernel_id": "24999160"}, {"ref": "opkaggle123/t-s-1-exercise-linear-regression-with-time-series", "kernel_id": "24984626"}, {"ref": "mahdirahmani/store-sales", "kernel_id": "24642858"}, {"ref": "satoshiss/store-sales-eda-xgb", "kernel_id": "24689973"}, {"ref": "thanakr/first-project-store-sales", "kernel_id": "24806422"}, {"ref": "zsun1998/hyperparamaters", "kernel_id": "24556818"}, {"ref": "jestertamonan/final-store-sales-regression-ols-rf-and-lgbm", "kernel_id": "24266178"}, {"ref": "demko1/store-sales-using-a-hybrid-model", "kernel_id": "24409910"}, {"ref": "javigallego/time-series-forecasting-tutorial", "kernel_id": "24908312"}, {"ref": "sarkk99/store-data-analysis", "kernel_id": "24850820"}, {"ref": "konradb/ts-4-sales-and-demand-forecasting", "kernel_id": "25175564"}, {"ref": "harshkumar3/seasonality-copied-from-the-time-series-course", "kernel_id": "25098925"}, {"ref": "wschong/storesales-forecasting-reg-time", "kernel_id": "25192630"}, {"ref": "bujjiramya/store-sales-forecasting-using-lstm", "kernel_id": "25172859"}, {"ref": "sindhu95/notebookb6cc9ebf87", "kernel_id": "25133678"}, {"ref": "sharanharsoor/eda-and-xgboost-regression-for-each-store", "kernel_id": "25592818"}, {"ref": "alejandromorales1/store-sales-ts-wip", "kernel_id": "25261423"}, {"ref": "arti1117/store-sales", "kernel_id": "25762945"}, {"ref": "cedricvanosselaer/sales-prediction-v0-5", "kernel_id": "25792507"}, {"ref": "cedricvanosselaer/sales-prediction-v0-4", "kernel_id": "25735443"}, {"ref": "michaelajaoolarinoye/store-data-time-series-simas", "kernel_id": "25092939"}, {"ref": "babismedz/notebook89055d0125", "kernel_id": "25460756"}, {"ref": "prashantpathak244/simple-xgboost-for-beginner", "kernel_id": "25219536"}, {"ref": "ubiratanfilho/store-sales-data-analysis", "kernel_id": "25206495"}, {"ref": "puppetmasterp/predicting-automotive-store-sales", "kernel_id": "25387535"}, {"ref": "mdruksharalam/store-sales-analysis-rukshar", "kernel_id": "25735999"}, {"ref": "mustafagull/storesales-prediction", "kernel_id": "25699509"}, {"ref": "opkaggle123/t-s-3-exercise-seasonality", "kernel_id": "25000308"}, {"ref": "opkaggle123/t-s-6-exercise-forecasting-with-machine-learning", "kernel_id": "25011880"}, {"ref": "ronnydtaroreh/exercise-linear-regression-with-time-series", "kernel_id": "25800148"}, {"ref": "beren01/exercise-linear-regression-with-time-series", "kernel_id": "25467440"}, {"ref": "murugeshm1/store-sales-prediction", "kernel_id": "25283374"}, {"ref": "omidghorbani79/exercise-hybrid-models", "kernel_id": "25175183"}, {"ref": "manishyadav51/storesalesforecast", "kernel_id": "25754565"}, {"ref": "thanakr/beginner-s-project-2nd-attempt", "kernel_id": "25335073"}, {"ref": "thanakr/simple-linear-regression", "kernel_id": "25852895"}, {"ref": "thanakr/beginner-s-project-3-features-and-models", "kernel_id": "25586849"}, {"ref": "hytryidmitry/grocery-store-sales-prediciton", "kernel_id": "25252027"}, {"ref": "klu2000031964/time-forecasting", "kernel_id": "25271093"}, {"ref": "lohithsaiakhilesh/time-series-forecasting", "kernel_id": "25163008"}, {"ref": "lohithsaiakhilesh/fork-of-eda-store-sales", "kernel_id": "25162793"}, {"ref": "sarankumarlukka/store-sales-csv", "kernel_id": "25919973"}, {"ref": "sivaganesh199111/store-data-time-series-simas", "kernel_id": "25091833"}, {"ref": "linhhlp/store-sales-time-series-forecasting", "kernel_id": "25385475"}, {"ref": "alpha985/store-sales-time-series-forecast-visuali-90383f", "kernel_id": "25417877"}, {"ref": "sreeharivadakkan/eda-using-chartart", "kernel_id": "26252718"}, {"ref": "vbmokin/cryptocurrencies-1b-time-series-clustering", "kernel_id": "26311426"}, {"ref": "anithraj/favorita-store-sales-best-analysis", "kernel_id": "26213308"}, {"ref": "rangerranjan/store-sales", "kernel_id": "26731484"}, {"ref": "vipin20/arima-sarimax-exponential-smoothing-using-optuna", "kernel_id": "26428347"}, {"ref": "tasnimnishatislam/time-series-from-scratch", "kernel_id": "26431583"}, {"ref": "vanguarde/study-series-uplift-modeling", "kernel_id": "26130086"}, {"ref": "yuriyeroshkin/notebookc977030ec7", "kernel_id": "26618782"}, {"ref": "alexroubinchtein/gum-model-in-r", "kernel_id": "26438727"}, {"ref": "anasmohamed21/sales-forecasting-extensive-analysis", "kernel_id": "26853362"}, {"ref": "gubkinpavel/xgboost-ml-csc-hw", "kernel_id": "26606723"}, {"ref": "anatoliyzaykovskiy/notebook4c55e6e390", "kernel_id": "26589084"}, {"ref": "anatoliyzaykovskiy/notebookac3625a217", "kernel_id": "26529677"}, {"ref": "kumarmahendra/forecasting-sales-using-time-series-techniques", "kernel_id": "26603665"}, {"ref": "sardorabdirayimov/notebook-for-data-contest", "kernel_id": "26861342"}, {"ref": "ronnydtaroreh/exercise-trend", "kernel_id": "26827361"}, {"ref": "bigourauxquentin/store-sale-ml", "kernel_id": "26450583"}, {"ref": "sanella007/timeseries", "kernel_id": "26616398"}, {"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "rhythmcam/store-sales-merge-new-dataframe", "kernel_id": "26880851"}, {"ref": "karlpetz/eda-ml-model", "kernel_id": "26768184"}, {"ref": "mateuszkarmowski/hybrid-model-dirrec-loop", "kernel_id": "26970547"}, {"ref": "pericaud/store-sales-eda-modelisation-and-prediction-test", "kernel_id": "26802878"}, {"ref": "abhinandanreddy/store-sales-boosted-hybrid", "kernel_id": "26939107"}, {"ref": "azratuni/exercise-hybrid-models", "kernel_id": "26531976"}, {"ref": "mehulkumarkantaria/automl-models-255-project", "kernel_id": "26401229"}, {"ref": "kirillborovikov/store-sales-predict", "kernel_id": "26177812"}, {"ref": "lucasbenazzicestari/store-sales-time-series-prediction", "kernel_id": "26406943"}, {"ref": "trnduythanhkhttt/term-project", "kernel_id": "26843582"}, {"ref": "linhhlp/an-extensive-analysis-of-store-sales", "kernel_id": "26034930"}, {"ref": "stephenparvin/store-sales-time-series-forecasting", "kernel_id": "26009412"}, {"ref": "tanakayukihoeee/store-sales", "kernel_id": "26634424"}, {"ref": "eduus710/store-sales-baseline", "kernel_id": "27178075"}, {"ref": "saonideb/linear-regression-with-time-series-17-05-22", "kernel_id": "27129578"}, {"ref": "rinichristy/time-series-forecast-store-sales", "kernel_id": "27562633"}, {"ref": "ceruttivini/store-sales-forecasting-arima-and-autoarima", "kernel_id": "27165279"}, {"ref": "pierrejeanne/store-sales-time-series-forecasting", "kernel_id": "27436862"}, {"ref": "yuriyeroshkin/fork-of-notebookc977030ec7-79a603", "kernel_id": "27278810"}, {"ref": "kashishrastogi/different-form-of-pie-chart-in-plotly", "kernel_id": "27434652"}, {"ref": "serkanoral/store-sales-r-eda", "kernel_id": "27690979"}, {"ref": "mayracarolina/forecasting-wwc", "kernel_id": "27885640"}, {"ref": "mohammedsalmanshaikh/deep-learning-multivariate-rnn-lstm-network", "kernel_id": "27967797"}, {"ref": "ronnydtaroreh/exercise-seasonality", "kernel_id": "27827286"}, {"ref": "ronnydtaroreh/exercise-forecasting-with-machine-learning", "kernel_id": "27939207"}, {"ref": "ronnydtaroreh/exercise-time-series-as-features", "kernel_id": "27858015"}, {"ref": "ronnydtaroreh/exercise-hybrid-models", "kernel_id": "27915038"}, {"ref": "pradungroek/sales-predicting", "kernel_id": "27949742"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "vorejuela01/exercise-forecasting-with-machine-learning", "kernel_id": "27180946"}, {"ref": "vorejuela01/exercise-hybrid-models", "kernel_id": "27122457"}, {"ref": "julinjimnez/exercise-seasonality", "kernel_id": "27120867"}, {"ref": "marcusngjh/store-sales-time-series-data-processing-part-i", "kernel_id": "27222770"}, {"ref": "okamotoai/storesales", "kernel_id": "27588312"}, {"ref": "romaupgini/guide-external-data-features-for-multivariatets", "kernel_id": "27701564"}, {"ref": "aleksandrmorozov123/time-series-forecasting-in-r", "kernel_id": "27781820"}, {"ref": "andrespadillaucros/2-store-sales-random-forest-forecast", "kernel_id": "27910617"}, {"ref": "chandanbagwan/exercise-linear-regression-with-time-series", "kernel_id": "27323317"}, {"ref": "assurivyshnavi/store-sales", "kernel_id": "27224874"}, {"ref": "hongjunepark/store-sales-time-series-project", "kernel_id": "27279962"}, {"ref": "chuckh193333/exploratory-data-analysis-predicting-future-sales", "kernel_id": "27304225"}, {"ref": "gehallak/storesales-eda", "kernel_id": "27465392"}, {"ref": "santiagoreyeschvez/proyecto-final-ciencia-de-datos", "kernel_id": "27973529"}, {"ref": "muhannadmansour/store-sales-predict-lightgbm", "kernel_id": "27886133"}, {"ref": "andresgutierrezrojas/class-1-linear-regression-with-time-series", "kernel_id": "27069787"}, {"ref": "andresgutierrezrojas/class-2-trend", "kernel_id": "27070166"}, {"ref": "willnunes/store-sales-eda-and-analysis-with-plotly", "kernel_id": "27920183"}, {"ref": "jorgecarosalcedo/exercise-time-series-as-features", "kernel_id": "27257776"}, {"ref": "jorgecarosalcedo/exercise-seasonality", "kernel_id": "27091297"}, {"ref": "yonisnp1/tsa-project-forecasting-sales", "kernel_id": "27248989"}, {"ref": "viktorgrahn/projekt-av-viktor-gran", "kernel_id": "27562916"}, {"ref": "ritkumar/store-sales-analysis-and-forecasting", "kernel_id": "28503257"}, {"ref": "cshweng/store-sales-time-series-forecasting-lbgm", "kernel_id": "28906047"}, {"ref": "mohamedramadanyakoub/store-analysis-eda", "kernel_id": "28748795"}, {"ref": "antonellomartiello/store-sales-eda", "kernel_id": "28258555"}, {"ref": "anshulsavla/store-sales-time-series", "kernel_id": "28230918"}, {"ref": "moatazbellahahmed/stores-sales-prediction-eda", "kernel_id": "28670188"}, {"ref": "mayracarolina/reto-forecasting", "kernel_id": "28736846"}, {"ref": "ziaulkarim/storesales-ziaul497-ts", "kernel_id": "28990120"}, {"ref": "nghianguyenduy/school-project-linear-regression", "kernel_id": "28931599"}, {"ref": "artemchistyakov/store-sales-eda-rf", "kernel_id": "28109950"}, {"ref": "axelrk200/exercise-seasonality", "kernel_id": "28751471"}, {"ref": "igorprikhodko/store-sales-time-series-forecasting-randomfore", "kernel_id": "28325813"}, {"ref": "dzbaniel/time-series-forecasting-with-xgb", "kernel_id": "28642729"}, {"ref": "marcusngjh/store-sales-time-series-data-processing-part-ii", "kernel_id": "28903999"}, {"ref": "dariocioni/time-series-forecasting", "kernel_id": "28097370"}, {"ref": "ingalevarad/store-sales-forecasting", "kernel_id": "28037352"}, {"ref": "martastangierska/sales-data-analysis-interactive-ecuador-map", "kernel_id": "28619702"}, {"ref": "alaaeldinmanse/exercise-linear-regression-with-time-series", "kernel_id": "28123979"}, {"ref": "alaaeldinmanse/exercise-trend", "kernel_id": "28177161"}, {"ref": "jerryscientist/jetech-basic-rnn-model-testing", "kernel_id": "28825409"}, {"ref": "kaku1127/ss-5014", "kernel_id": "28563338"}, {"ref": "aleksandrmorozov123/time-series-forecasting-with-python", "kernel_id": "28356206"}, {"ref": "oumaimagasmi/exercise-time-series-as-features", "kernel_id": "28812747"}, {"ref": "oumaimagasmi/exercise-seasonality", "kernel_id": "28812748"}, {"ref": "thatikondamanjusha/store-sales-time-series-forecasting", "kernel_id": "28565141"}, {"ref": "thatikondamanjusha/time-series-forecasting", "kernel_id": "28481522"}, {"ref": "jiejieho/ts-learning-anb-submmision", "kernel_id": "28746212"}, {"ref": "akashgaikwad894/store-locations", "kernel_id": "28847054"}, {"ref": "yaashiii/store-sale-pred", "kernel_id": "28170635"}, {"ref": "iamdeeeep/practisetimeseries", "kernel_id": "28159392"}, {"ref": "usamabalochhh/time-series-using-xgboost", "kernel_id": "28979953"}, {"ref": "ritik7693/ritik-submission-1", "kernel_id": "28159395"}, {"ref": "durjoyarzu/store-sales-competition", "kernel_id": "28950209"}, {"ref": "hkurita/notebook990a573da8", "kernel_id": "28688189"}, {"ref": "nurfatihahbintirosli/storesales-v1", "kernel_id": "28563142"}, {"ref": "nurfatihahbintirosli/storesales-v6", "kernel_id": "28965222"}, {"ref": "nurfatihahbintirosli/storesales-v5", "kernel_id": "28963568"}, {"ref": "tkkrkkt/storesales", "kernel_id": "28561609"}, {"ref": "tkkrkkt/notebook486e037d2c", "kernel_id": "28562698"}, {"ref": "yoshikawamasaki/notebook3d32a70948", "kernel_id": "28495930"}, {"ref": "asdlafkjajka/store-sales-demo", "kernel_id": "28755468"}, {"ref": "asdlafkjajka/fork-of-store-sales-demo", "kernel_id": "28980163"}, {"ref": "takagitakumi/notebook786d1b8827", "kernel_id": "28752573"}, {"ref": "kentatoku/store-sales-simple", "kernel_id": "28541207"}, {"ref": "daikikashihara/notebook1abe4b3986", "kernel_id": "28562810"}, {"ref": "daikikashihara/notebook-datasience", "kernel_id": "28773182"}, {"ref": "kusakatomoki2/notebook-datasience-team5-subject-for-submission", "kernel_id": "28983220"}, {"ref": "dennkidennshi/store-sales-analysis-time-serie", "kernel_id": "28700498"}, {"ref": "dennkidennshi/zhang-hang-0725", "kernel_id": "28700597"}, {"ref": "xodeum/advanced-store-sales-by-time-series", "kernel_id": "28525649"}, {"ref": "katsumasanitta/notebook1ba2f13b10", "kernel_id": "28796795"}, {"ref": "yingfu46/exercise-trend", "kernel_id": "28707392"}, {"ref": "yingfu46/exercise-linear-regression-with-time-series", "kernel_id": "28680637"}, {"ref": "yingfu46/exercise-seasonality", "kernel_id": "28744990"}, {"ref": "yingfu46/exercise-time-series-as-features", "kernel_id": "28782365"}, {"ref": "yingfu46/exercise-forecasting-with-machine-learning", "kernel_id": "28910185"}, {"ref": "yingfu46/exercise-hybrid-models", "kernel_id": "28821776"}, {"ref": "h0s0kqwq/notebook-datasience", "kernel_id": "28765498"}, {"ref": "xiefei/linear-regression-with-time-series", "kernel_id": "29038160"}, {"ref": "xiefei/exercise-linear-regression-with-time-series", "kernel_id": "29038353"}, {"ref": "xiefei/trend", "kernel_id": "29038637"}, {"ref": "xiefei/exercise-trend", "kernel_id": "29038754"}, {"ref": "xiefei/seasonality", "kernel_id": "29039609"}, {"ref": "xiefei/time-series-as-features", "kernel_id": "29040059"}, {"ref": "xiefei/hybrid-models", "kernel_id": "29040272"}, {"ref": "xiefei/forecasting-with-machine-learning", "kernel_id": "29040511"}, {"ref": "oscarm524/ts-forecast-eda-baseline-model", "kernel_id": "29585337"}, {"ref": "draruncs/sales-prediction", "kernel_id": "29739807"}, {"ref": "rinichristy/interpretable-nbeats-to-predict-store-sales", "kernel_id": "29024880"}, {"ref": "caesarlupum/exercise-forecasting-with-machine-learning", "kernel_id": "29182590"}, {"ref": "caesarlupum/exercise-hybrid-models", "kernel_id": "29178768"}, {"ref": "caesarlupum/exercise-seasonality", "kernel_id": "29139906"}, {"ref": "caesarlupum/exercise-trend", "kernel_id": "29139004"}, {"ref": "caesarlupum/exercise-time-series-as-features", "kernel_id": "29157526"}, {"ref": "kamyarbagha/rfregressor-and-xgboostregressor-sale-prediction", "kernel_id": "29226703"}, {"ref": "rodrigostallsikora/1st-attempt-store-sales-time-series-forecasting", "kernel_id": "29470007"}, {"ref": "nauvalrafli/exercise-linear-regression-with-time-series", "kernel_id": "29441300"}, {"ref": "joeoleynik/ecuadorian-grocery-sales-forecast", "kernel_id": "29035266"}, {"ref": "ziaulkarim/store-sales-ziaul-497-ts-new", "kernel_id": "29043846"}, {"ref": "aklimarimi/tutorial-irregular-time-series", "kernel_id": "29741602"}, {"ref": "charles01dev/exercise-linear-regression-with-time-series", "kernel_id": "29420922"}, {"ref": "abrarelidrisi/predictive-modelling-eda-using-tensorflow", "kernel_id": "29962142"}, {"ref": "zajazaki/eda-transaction-dirrec-forecast-anomalies", "kernel_id": "29439672"}, {"ref": "retnoanggraeni/exercise-forecasting-with-machine-learning", "kernel_id": "29834244"}, {"ref": "retnoanggraeni/exercise-linear-regression-with-time-series", "kernel_id": "29702619"}, {"ref": "meln1337/store-sales-notebook", "kernel_id": "29556331"}, {"ref": "chikuwayogurt/001-storesales", "kernel_id": "29042861"}, {"ref": "leokaka/sesonality-with-explained-code-for-beginners", "kernel_id": "29950240"}, {"ref": "kaku1127/5014-ss-aa", "kernel_id": "29024533"}, {"ref": "kaku1127/store-sales-analysis-and-forecasting", "kernel_id": "29121703"}, {"ref": "ma12492002/eda-ml-store-sales-analysis-forecasting", "kernel_id": "29164670"}, {"ref": "naoshigedoi/prepare-of-prediction-store-sales", "kernel_id": "29397912"}, {"ref": "mramzanali/exercise-seasonality", "kernel_id": "29569819"}, {"ref": "vitkovskiyvolodymyr/store-sales-time-series-forecasting-analysis", "kernel_id": "29851777"}, {"ref": "nalinmandhu/r2-score-0-92-with-xgboost", "kernel_id": "29431665"}, {"ref": "davidedokpayi/exercise-linear-regression-with-time-series", "kernel_id": "29609004"}, {"ref": "christophfolgner1/exercise-linear-regression-with-time-series", "kernel_id": "29146783"}, {"ref": "usamabalochhh/comparison-of-tree-based-models-with-explanation", "kernel_id": "29050750"}, {"ref": "eyaltanuri/store-sales-task-linked", "kernel_id": "29283757"}, {"ref": "orbovan/store-sales-time-series-ver0-5", "kernel_id": "29358705"}, {"ref": "aniketarpathak/0-94-randomforest-store-data", "kernel_id": "29066956"}, {"ref": "viktortaran/store-sales", "kernel_id": "29747294"}, {"ref": "doggypiggy/store-sales-getting-started-with-time-series", "kernel_id": "29740553"}, {"ref": "engnoura2/forecasting-with-machine-learning", "kernel_id": "29814864"}, {"ref": "engnoura2/time-series-as-features", "kernel_id": "29785391"}, {"ref": "engnoura2/exercise-seasonality", "kernel_id": "29785319"}, {"ref": "andrewsale/sales-and-oil-price", "kernel_id": "29905006"}, {"ref": "andrewsale/sales-forecasting-first-glance-eda", "kernel_id": "29743287"}, {"ref": "durjoyarzu/store-sales-competition-2", "kernel_id": "29063631"}, {"ref": "shirase418/storesales", "kernel_id": "29150239"}, {"ref": "dennkidennshi/notebookdzhang89up", "kernel_id": "29055051"}, {"ref": "takuyaosaka/notebookc43e5ee2b1", "kernel_id": "29047258"}, {"ref": "tomohitoamano/store-sales", "kernel_id": "29054901"}, {"ref": "ingnoroleak/time-series-forecasting-trend", "kernel_id": "29531005"}, {"ref": "hienwatkins/store-sales-forecasting-k-hw", "kernel_id": "29057364"}, {"ref": "vibhorsharma111/predictive-modelling-eda-using-tensorflow", "kernel_id": "29683325"}, {"ref": "coolman145/simple-baseline-r-forecasting-with-fable-0-42401", "kernel_id": "30000787"}, {"ref": "jamesmcguigan/store-sales-profilereport-autoeda", "kernel_id": "30485544"}, {"ref": "jiesun2007/store-sales-deterministic-external-features", "kernel_id": "30646061"}, {"ref": "quicksilvershanks/exercise-trend", "kernel_id": "30663745"}, {"ref": "quicksilvershanks/exercise-linear-regression-with-time-series", "kernel_id": "30619042"}, {"ref": "bhavesh1335/exercise-linear-regression-with-time-series", "kernel_id": "30643908"}, {"ref": "ferdinandberr/darts-forecasting-deep-learning-global-models", "kernel_id": "30361566"}, {"ref": "shashankpy/dash-plotly-eda", "kernel_id": "30262785"}, {"ref": "shashankpy/time-series-forecasting-with-python", "kernel_id": "30262284"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "liweidai/sarimax", "kernel_id": "30488023"}, {"ref": "ahmedashraf123/store-sales-time-series-forecasting", "kernel_id": "30127752"}, {"ref": "aqsasadaf/oil-price-prediction-with-lstm-bidirectional", "kernel_id": "30557714"}, {"ref": "iuliivasilievmsurus/rgraphicslection6", "kernel_id": "30958794"}, {"ref": "toya18/datavisualization-store-sales", "kernel_id": "30861660"}, {"ref": "heirophany/eda-with-time-series-data", "kernel_id": "30539966"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "nishak23/overall-all-stores-analysis-arima", "kernel_id": "30404571"}, {"ref": "nishak23/overall-all-stores-analysis-prophet", "kernel_id": "30405011"}, {"ref": "shubhamkathiriya/store-sales-forecasting", "kernel_id": "30969704"}, {"ref": "oz2610/store-sales-tsf", "kernel_id": "30297002"}, {"ref": "nikitamorozov110971/store-sales-time-series-forecasting", "kernel_id": "30165874"}, {"ref": "khashayarrahimi94/no-ml-just-statistical-analysis", "kernel_id": "30637667"}, {"ref": "youssefabdelkarim/notebookb1ba702747", "kernel_id": "30949015"}, {"ref": "vidvendugupta/store-sales-ts-forecasting", "kernel_id": "30205296"}, {"ref": "maharanasaroj/store-sales-time-series-forecasting", "kernel_id": "30270478"}, {"ref": "apoorvauplap/exercise-seasonality", "kernel_id": "30648382"}, {"ref": "apoorvauplap/stores-sales-time-series", "kernel_id": "30810124"}, {"ref": "troybernie/eda-with-time-series-data", "kernel_id": "30507191"}, {"ref": "bansodesandeep/nlp-predicting-sentiment-of-covid-19-tweets", "kernel_id": "30444851"}, {"ref": "sneh20/sales-forecasting-using-arima-model", "kernel_id": "30276869"}, {"ref": "sanketbodake/store-sales-time-series-forecasting", "kernel_id": "30413623"}, {"ref": "dorivankadatz/time-series-store-sales-forecasting", "kernel_id": "30683187"}, {"ref": "mdfarzana/exercise-linear-regression-with-time-series", "kernel_id": "31452178"}, {"ref": "chandrahasdhiraj/exercise-hybrid-models", "kernel_id": "31526910"}, {"ref": "xiefei/exercise-seasonality", "kernel_id": "31775480"}, {"ref": "xiefei/exercise-time-series-as-features", "kernel_id": "31776778"}, {"ref": "xiefei/exercise-hybrid-models", "kernel_id": "31777171"}, {"ref": "xiefei/exercise-forecasting-with-machine-learning", "kernel_id": "31777843"}, {"ref": "anitaowens/forecasting-lagged-variables-in-python", "kernel_id": "31331882"}, {"ref": "quicksilvershanks/exercise-seasonality", "kernel_id": "31062353"}, {"ref": "quicksilvershanks/exercise-time-series-as-features", "kernel_id": "31158552"}, {"ref": "quicksilvershanks/exercise-forecasting-with-machine-learning", "kernel_id": "31313220"}, {"ref": "quicksilvershanks/exercise-hybrid-models", "kernel_id": "31303684"}, {"ref": "dipakwani/simple-ts-ridge-rf", "kernel_id": "31461534"}, {"ref": "markbquant/stacking-upgini-darts", "kernel_id": "31387810"}, {"ref": "kiruthigaa/exercise-seasonality-store-sales-time-series", "kernel_id": "31651056"}, {"ref": "kiruthigaa/exercise-forecasting-with-machine-learning", "kernel_id": "31887485"}, {"ref": "mmcquade/sktime-auto-ets", "kernel_id": "31200855"}, {"ref": "adnanshikh/listen-to-secrets-in-your-data", "kernel_id": "31426886"}, {"ref": "adnanshikh/sales-prediction-using-linearregression-catboost", "kernel_id": "31625153"}, {"ref": "elchin7/store-sales", "kernel_id": "31092263"}, {"ref": "iuliivasilievmsurus/statanalysislection10", "kernel_id": "31615175"}, {"ref": "iuliivasilievmsurus/statanalysislection9", "kernel_id": "31351003"}, {"ref": "charles01dev/exercise-trend", "kernel_id": "31260990"}, {"ref": "charles01dev/exercise-time-series-as-features", "kernel_id": "31722172"}, {"ref": "liyuc762/afl3oainfalk", "kernel_id": "31608182"}, {"ref": "syedhameedm/notebook83fb1b51ce", "kernel_id": "31809958"}, {"ref": "syedhameedm/time-series-with-ridge", "kernel_id": "31716180"}, {"ref": "abhirupghosh184098/ts-forecasting-a-beginner-s-handbook", "kernel_id": "31738066"}, {"ref": "bouyakhsainekhadija/time-series-store-sales-data", "kernel_id": "31839104"}, {"ref": "leokaka/pca-for-time-series-analysis", "kernel_id": "31520971"}, {"ref": "jtimana/time-series-analysis-and-prediction", "kernel_id": "31943941"}, {"ref": "sakshamparashar/store-sales-forecasting-with-custom-regressor", "kernel_id": "31904653"}, {"ref": "drrajkulkarni/str-sales-random-forest", "kernel_id": "31854353"}, {"ref": "chopstician/store-sale", "kernel_id": "31068026"}, {"ref": "t3kuwabara/storesalesbook", "kernel_id": "31538891"}, {"ref": "kokitashiro/store-sales-eda-with-time-series-geospatial-tech", "kernel_id": "31477758"}, {"ref": "supulpushpakumara/190482k-time-series-forecasting", "kernel_id": "31685948"}, {"ref": "uom190585e/exercise-seasonality", "kernel_id": "31669220"}, {"ref": "uom190649f/time-series-data-analysis", "kernel_id": "31677550"}, {"ref": "amyhewitt/store-sales", "kernel_id": "31427122"}, {"ref": "aniruthsundararajan/time-series-analysis-and-prediction", "kernel_id": "31933431"}, {"ref": "abidilahi/notebook0b910608fc", "kernel_id": "31896634"}, {"ref": "nestorajimenezs/mcd522-proyecto-final", "kernel_id": "31258933"}, {"ref": "blulypsee/time-series-course-notes", "kernel_id": "31737214"}, {"ref": "shaguftaazad/time-series-practicum-assessment-store-sales", "kernel_id": "32795998"}, {"ref": "mscgeorges/per-family-with-store-multioutput", "kernel_id": "32696511"}, {"ref": "mscgeorges/catboost-model-per-family", "kernel_id": "32852244"}, {"ref": "vincentjuge/notebookcfae1d1866", "kernel_id": "32705139"}, {"ref": "vincentjuge/notebook533b8fa65c", "kernel_id": "32966350"}, {"ref": "priyak950/eda-on-data-sales", "kernel_id": "32402561"}, {"ref": "johncbaldwin/time-series-nb", "kernel_id": "32536851"}, {"ref": "ciliamadani/xgbregressor-time-series-forecasting-0-44", "kernel_id": "32325342"}, {"ref": "wlnk99/xgboost-optuna-template", "kernel_id": "32342560"}, {"ref": "igones/eda-store-sales-forecasting", "kernel_id": "32161395"}, {"ref": "maryiaznak/timeseries-multioutput-forecasting-xgbregressor", "kernel_id": "32774711"}, {"ref": "guglanigauri/time-series-forecasting-store-sales-analysis", "kernel_id": "32832130"}, {"ref": "alijanloo/time-series-forecasting", "kernel_id": "32101551"}, {"ref": "uom190093t/190093t-dm-lab2", "kernel_id": "32072215"}, {"ref": "uom190408r/store-sales-time-series-forecasting", "kernel_id": "32061267"}, {"ref": "uom190558b/time-series-sales-forecasting", "kernel_id": "32059895"}, {"ref": "jiayezhu/mumbo-jumbo", "kernel_id": "32302294"}, {"ref": "tayasui/storesale11-10", "kernel_id": "32189226"}, {"ref": "tayasui/r-test", "kernel_id": "32052189"}, {"ref": "abhiasc/notebook0f27d20cd5", "kernel_id": "32950189"}, {"ref": "vikasbasavaraja/notebook9fd72d46e5", "kernel_id": "32950754"}, {"ref": "vikasbasavaraja/1st-attempt-store-sales-time-series-forecasting", "kernel_id": "32759613"}, {"ref": "prem113/time-series-store-sales", "kernel_id": "32072684"}, {"ref": "rodmnzs/store-sales-time-series-forecasting", "kernel_id": "32834261"}, {"ref": "adedejisefiat/store-sales-forecasting", "kernel_id": "32914338"}, {"ref": "tiansztianszs/store-sales", "kernel_id": "32553388"}, {"ref": "tiansztianszs/store-sales-time-series-forecasting", "kernel_id": "32046609"}, {"ref": "itaysong/exercise-time-series-as-features", "kernel_id": "32268049"}, {"ref": "rebeccarolston/ml-competition-data-modeling", "kernel_id": "32201150"}, {"ref": "rebeccarolston/ml-competition-evaluating", "kernel_id": "32334354"}, {"ref": "weichang1111/store-sales-forcecast-with-r", "kernel_id": "32628227"}, {"ref": "omololaoladimeji/store-sales-forecasting", "kernel_id": "32707997"}, {"ref": "tejkang/monthly-rent", "kernel_id": "32536108"}, {"ref": "n2cholas/store-sales-eda", "kernel_id": "33533233"}, {"ref": "ben8024/kaggle", "kernel_id": "33954830"}, {"ref": "priyak950/store-sales-a-beginner-s-guide-to-time-series", "kernel_id": "33976418"}, {"ref": "kamaljp/store-sales-forecasting-pysparkdatamodeling", "kernel_id": "33763405"}, {"ref": "daskuntal911/store-sales-time-series-k", "kernel_id": "33923376"}, {"ref": "simonheilles/notebook-pred-v0", "kernel_id": "33184806"}, {"ref": "simonheilles/notebook-p8", "kernel_id": "33269887"}, {"ref": "simonheilles/notebook-time-series", "kernel_id": "33245529"}, {"ref": "perfectnight123/store-sales-time-series-forecast", "kernel_id": "33735910"}, {"ref": "perfectnight123/exercise-seasonality", "kernel_id": "33710261"}, {"ref": "aklimarimi/analysis-and-story", "kernel_id": "33091731"}, {"ref": "shubhamdawande/retail-sales-forecasting", "kernel_id": "33115443"}, {"ref": "megalino111/exercise-linear-regression-with-time-series", "kernel_id": "33557971"}, {"ref": "pohzixiang/sales-forecast-with-xgboost-zx", "kernel_id": "33371432"}, {"ref": "francescopaolol/favorita-forecasting-model", "kernel_id": "33572392"}, {"ref": "zsdsddcsa/store-sales-comp-modeling", "kernel_id": "33513914"}, {"ref": "heemalichaudhari/store-sales-time-series-forecasting", "kernel_id": "33401330"}, {"ref": "thaichi/exercise-time-series-as-features", "kernel_id": "33327098"}, {"ref": "thaichi/exercise-trend", "kernel_id": "33318040"}, {"ref": "thaichi/exercise-seasonality", "kernel_id": "33321087"}, {"ref": "thaichi/exercise-hybrid-models", "kernel_id": "33329744"}, {"ref": "kaikaizxc/store-sales-visualization", "kernel_id": "33175720"}, {"ref": "serkanp/store-sales-time-series-forecasting", "kernel_id": "33318247"}, {"ref": "sanandachowdhury/store-sales-prediction", "kernel_id": "33341947"}, {"ref": "uom190604n/store-sales-time-series-190604n", "kernel_id": "33800018"}, {"ref": "shilongzhuang/advanced-time-series-forecasting-with-python", "kernel_id": "33679024"}, {"ref": "neilangelomartinez/store-sales-time-series-forecasting", "kernel_id": "33860054"}, {"ref": "willime/grocery-sales-randomforestregressor", "kernel_id": "33669170"}, {"ref": "willime/xgbregressor-time-series-forecasting-0-44", "kernel_id": "33757039"}, {"ref": "migrantworkerdatahub/store-sales-time-series-forecasting-w-geo-data-3", "kernel_id": "33944516"}, {"ref": "migrantworkerdatahub/store-sales-time-series-forecasting-w-geo-data-1", "kernel_id": "33941499"}, {"ref": "migrantworkerdatahub/store-sales-time-series-forecasting-w-time-3", "kernel_id": "33942684"}, {"ref": "ruppeeorighomisan/store-sales-time-series-forecasting", "kernel_id": "33928961"}, {"ref": "singhalkshama/notebook72f9ab1800", "kernel_id": "33083286"}, {"ref": "migueltorresacosta/seasonality-in-store-sales", "kernel_id": "33594500"}, {"ref": "percedal/exercise-seasonality", "kernel_id": "33033932"}, {"ref": "shashankrangarajan/last-try", "kernel_id": "33135868"}, {"ref": "snigdhkarki/making-pred-for-each-uniq-family-store-combo", "kernel_id": "33683681"}, {"ref": "liqiang2022/time-series", "kernel_id": "33979354"}, {"ref": "tea0925ds/answer-store-sales-tutolial", "kernel_id": "34890113"}, {"ref": "rohithmahadevan/time-series-analysis-101-basics", "kernel_id": "34908482"}, {"ref": "parthkatiyar/store-sales-forecasting", "kernel_id": "34590205"}, {"ref": "vladimirbeliayev/etna-seasonal-average-baseline", "kernel_id": "34902463"}, {"ref": "vladimirbeliayev/different-moving-average-approaches", "kernel_id": "34519098"}, {"ref": "kamalipriya/store-sales-kaggle-competition", "kernel_id": "34365689"}, {"ref": "maheshnanavare/sales-forecast-using-ensemble-of-boosted-hybrids", "kernel_id": "34452694"}, {"ref": "samueljoseph502/timeseries-exp-1", "kernel_id": "34692964"}, {"ref": "willyrizkiyan/xgboost-multi-time-series", "kernel_id": "34958610"}, {"ref": "oumouhouh/exercise-trend", "kernel_id": "34742960"}, {"ref": "senapatirajesh/time-series-plots", "kernel_id": "34098242"}, {"ref": "nowakjakub/lightgbm-vs-xgboost-for-time-series-analysis", "kernel_id": "34693361"}, {"ref": "rajkumarpandey02/store-sales-time-series-forecast", "kernel_id": "34197486"}, {"ref": "harianantkaushik/store-sales-time-series-forecast", "kernel_id": "34197767"}, {"ref": "bensonchou404/store-sales-forecasting-arima-overfit", "kernel_id": "34310630"}, {"ref": "eamonntweedy/ecuador-store-sales-lightgbm", "kernel_id": "34596781"}, {"ref": "rebeccapringle/time-series-forecasting-kaggle-competition", "kernel_id": "34316626"}, {"ref": "abdelhakmekaoui/notebook7a6f5ed476", "kernel_id": "34398115"}, {"ref": "nickyhu/sales-forecasting", "kernel_id": "34215233"}, {"ref": "anooppandey10/store-sales-time-series-forecast", "kernel_id": "34198100"}, {"ref": "tanvirsiddikemoin/store-sales-time-series-forecast", "kernel_id": "34118202"}, {"ref": "tanvirsiddikemoin/time-series-forecasting", "kernel_id": "34091626"}, {"ref": "jagdishjaisel/store-sales-time-series-forecast", "kernel_id": "34288770"}, {"ref": "niteshsingh1998/store-sales-time-series-forecast", "kernel_id": "34199247"}, {"ref": "abhishekpanday/store-sales-time-series-forecast", "kernel_id": "34289000"}, {"ref": "rahulgargvanshi/store-sales-time-series-forecast", "kernel_id": "34286871"}, {"ref": "shivamdwivedi95/store-sales-time-series-forecast", "kernel_id": "34292983"}, {"ref": "sachithrajayathissa/store-sales-time-series-forecasting", "kernel_id": "34378483"}, {"ref": "zhenfen/store-sales-time-series-forecast", "kernel_id": "34536829"}, {"ref": "aakashroy/exercise-time-series-as-features", "kernel_id": "35944582"}, {"ref": "rcoletto/store-sales-linear-regression-random-forest", "kernel_id": "35842109"}, {"ref": "roxket/store-sales-eda", "kernel_id": "35885161"}, {"ref": "jingyizhang96/auto-arima", "kernel_id": "35911776"}, {"ref": "johnsonpeixoto/competi-o-store-sales", "kernel_id": "35646783"}, {"ref": "tea0925ds/store-sales-tutolial", "kernel_id": "35094157"}, {"ref": "altafk/store-sale-time-series-analysis", "kernel_id": "35053571"}, {"ref": "jungheepark9779/202313-5th", "kernel_id": "35973239"}, {"ref": "jungheepark9779/20230311", "kernel_id": "35905161"}, {"ref": "megalino111/exercise-seasonality", "kernel_id": "35307719"}, {"ref": "megalino111/exercise-time-series-as-features", "kernel_id": "35477248"}, {"ref": "megalino111/exercise-hybrid-models", "kernel_id": "35582835"}, {"ref": "megalino111/exercise-trend", "kernel_id": "35189177"}, {"ref": "megalino111/exercise-forecasting-with-machine-learning", "kernel_id": "35667500"}, {"ref": "romainfonta2/store-sales", "kernel_id": "35841054"}, {"ref": "sreen28g10/exercise-seasonality", "kernel_id": "35177298"}, {"ref": "sreen28g10/exercise-time-series-as-features", "kernel_id": "35232484"}, {"ref": "sreen28g10/exercise-trend", "kernel_id": "35143626"}, {"ref": "sreen28g10/exercise-linear-regression-with-time-series", "kernel_id": "35070846"}, {"ref": "ar4s23d6man/time-series-store-sales", "kernel_id": "35942728"}, {"ref": "joeanton/detail-eda-oil-price-causal-analysis-xgbpredict", "kernel_id": "35498669"}, {"ref": "redelectricyw/sales-forecasting-model", "kernel_id": "35790650"}, {"ref": "kennytanner/store-sales-forecasting-extensive-eda", "kernel_id": "35526523"}, {"ref": "kennytanner/store-sales-forecasting-with-boosted-hybrid-model", "kernel_id": "35544892"}, {"ref": "anqiyan96/prophet-forecasting", "kernel_id": "35319613"}, {"ref": "priyankzz/timeseries", "kernel_id": "35067929"}, {"ref": "younaniskander/exercise-linear-regression-with-time-series", "kernel_id": "35530127"}, {"ref": "younaniskander/exercise-seasonality", "kernel_id": "35786724"}, {"ref": "davidhuang33176/lstm-sales", "kernel_id": "35512829"}, {"ref": "max780228/store-sales-ls", "kernel_id": "35753584"}, {"ref": "osamayassen/store-sales-forecast-lr", "kernel_id": "35575641"}, {"ref": "oopusk/notebook26d3f63145", "kernel_id": "35451372"}, {"ref": "oenvespa/time-series-eda-xgb-arima-cnn-lstm-cnn-lstm", "kernel_id": "35962267"}, {"ref": "ashutoshsingh94/store-sales-time-series-analysis", "kernel_id": "35599224"}, {"ref": "mahmoudabdelaziz01/notebook8ccc1b9cb9", "kernel_id": "35927673"}, {"ref": "omkarcgode/time-series-store-sales-using-xgboost", "kernel_id": "35026671"}, {"ref": "kavitamorodiya/notebooka0d9aab936", "kernel_id": "35799255"}, {"ref": "aqilafadia/exercise-linear-regression-with-time-series", "kernel_id": "35338163"}, {"ref": "panini92/time-series-book-sales", "kernel_id": "35577727"}, {"ref": "panini92/exercise-forecasting-with-machine-learning", "kernel_id": "35776726"}, {"ref": "panini92/exercise-hybrid-models", "kernel_id": "35740151"}, {"ref": "panini92/exercise-linear-regression-with-time-series", "kernel_id": "35590893"}, {"ref": "panini92/exercise-trend", "kernel_id": "35647462"}, {"ref": "panini92/exercise-time-series-as-features", "kernel_id": "35714139"}, {"ref": "panini92/exercise-seasonality", "kernel_id": "35676881"}, {"ref": "wepasabyrow/store-sales-time-series-forecasting", "kernel_id": "35496011"}, {"ref": "murtazaaamir/store-sale-time-series-prediction", "kernel_id": "35053171"}, {"ref": "evilpsycho42/rnn-attention-transformer-for-time-series", "kernel_id": "36425511"}, {"ref": "theupgrade/step-by-step-from-eda-to-submission-with-lgbmr", "kernel_id": "36141246"}, {"ref": "anunnikrishnan/forecasting", "kernel_id": "36751593"}, {"ref": "dellalkhaled/regression-not-a-hybrid-approach", "kernel_id": "36880501"}, {"ref": "dellalkhaled/monte-carlo-successive-defferenciating-approach", "kernel_id": "36991649"}, {"ref": "rishabsinghh/store-sales-eda-arima", "kernel_id": "36477994"}, {"ref": "juhotuho10/time-series-predictions", "kernel_id": "36546751"}, {"ref": "arunpurakkatt/adversarial-validation-xgb", "kernel_id": "36607217"}, {"ref": "kelde9/darts-ensemble-stores-sales-forecasting", "kernel_id": "36931067"}, {"ref": "joseothily/stores-prediction", "kernel_id": "36293627"}, {"ref": "basslap/store-sales-fe", "kernel_id": "36956005"}, {"ref": "jocelyndumlao/exercise-hybrid-models", "kernel_id": "36712977"}, {"ref": "jocelyndumlao/exercise-forecasting-with-machine-learning", "kernel_id": "36714283"}, {"ref": "jocelyndumlao/exercise-seasonality", "kernel_id": "36701963"}, {"ref": "jocelyndumlao/exercise-time-series-as-features", "kernel_id": "36704247"}, {"ref": "jocelyndumlao/exercise-linear-regression-with-time-series", "kernel_id": "36700971"}, {"ref": "jocelyndumlao/exercise-trend", "kernel_id": "36700271"}, {"ref": "monikakusumanchi/store-sales-time-series-forecasting", "kernel_id": "36410705"}, {"ref": "gunnusravani/store-sales-3", "kernel_id": "36425355"}, {"ref": "lukabarbakadze/sales-forecast", "kernel_id": "36184129"}, {"ref": "tushargoel04/store-sales-time-series-analysis", "kernel_id": "36669541"}, {"ref": "koundinya1/notebook5217512950", "kernel_id": "36409781"}, {"ref": "koundinya1/store-sales-timeseries", "kernel_id": "36424774"}, {"ref": "rahulm7323/total-sales-per-day-prediction-using-nbeats", "kernel_id": "36410698"}, {"ref": "chinmaybapat03/store-sales-eda-and-forecasting-lstm-bi-lstm", "kernel_id": "36447623"}, {"ref": "ahmetzamanis/store-sales-autoets-with-darts", "kernel_id": "36015670"}, {"ref": "georger174/sales-forecasting-eda-lightgbm", "kernel_id": "36807575"}, {"ref": "lucasfuller96/hyperparameter-tuning-with-optuna", "kernel_id": "36257398"}, {"ref": "kondetisandeep/store-sales", "kernel_id": "36396077"}, {"ref": "beyzakrova/store-sales-time-forecasting", "kernel_id": "36852895"}, {"ref": "nikoolaylovyagin/multiple-time-series-pycaret-multiple-xgboosts", "kernel_id": "36072965"}, {"ref": "drmichaelnguyen/store-sale-ecuador", "kernel_id": "36806119"}, {"ref": "d3stron/sales-prediction-using-xgb-and-lstm-in-keras", "kernel_id": "36865528"}, {"ref": "ravindumalshan/sales-time-series-forecasting", "kernel_id": "36227839"}, {"ref": "chamindusupunsara/store-sales-time-series", "kernel_id": "36163459"}, {"ref": "sachithrajayathissa/store1ml", "kernel_id": "36157857"}, {"ref": "sachithrajayathissa/store-sales-model-training", "kernel_id": "36218855"}, {"ref": "kornelrakowski/store-sales", "kernel_id": "36220287"}, {"ref": "lavanyatewari/notebookeca9c1b406", "kernel_id": "36844019"}, {"ref": "sykimlsn/storesales-ksy", "kernel_id": "36239861"}, {"ref": "dilipdevakumar/store-sales-model", "kernel_id": "36194837"}, {"ref": "dilipdevakumar/store-sales", "kernel_id": "36192585"}, {"ref": "statisticsplaybook/5-store-sales", "kernel_id": "36218241"}, {"ref": "sagarsugunan/store-sales-ls", "kernel_id": "36114945"}, {"ref": "mirarotaru/notebooka9c69f091a", "kernel_id": "36014827"}, {"ref": "baireddypranayreddy/store-sales-tsf", "kernel_id": "36411909"}, {"ref": "averma111/store-sales-numpyrmsle-catboost-lgbm-xgboost", "kernel_id": "37273378"}, {"ref": "rodrigostallsikora/3rd-attempt-on-sales-forecasting", "kernel_id": "37590952"}, {"ref": "sankalpsthakur/store-sales-leakage-safe-cpu-backtest", "kernel_id": "37354205"}, {"ref": "vivekatal/store-sales-forecasting-r-markdown", "kernel_id": "37439275"}, {"ref": "claricesatikoaoto/ecuador-sales-analysis-i", "kernel_id": "37479379"}, {"ref": "claricesatikoaoto/store-sales-xgboost", "kernel_id": "37952384"}, {"ref": "jocelyndumlao/store-sales-time-series", "kernel_id": "37302087"}, {"ref": "indraneeldey/store-sales", "kernel_id": "37622640"}, {"ref": "thepuzzlr/linear-regression-with-time-series", "kernel_id": "37761428"}, {"ref": "dab167/sales-forecast-grocery-store", "kernel_id": "37963420"}, {"ref": "alexanderkapralov/time-series-eda-forecasting", "kernel_id": "37747894"}, {"ref": "hiteshnegi07/exercise-seasonality", "kernel_id": "37868731"}, {"ref": "marcosgois07/store-sales-time-series-forecasting-with-lightgbm", "kernel_id": "37370640"}, {"ref": "purnataghosal/time-series-forecasting-with-xgb", "kernel_id": "37172700"}, {"ref": "belligraf/time-series-catboost", "kernel_id": "37985315"}, {"ref": "tltestastl/exercise-forecasting-with-machine-learning", "kernel_id": "37555306"}, {"ref": "ferdidu/darts-forecasting-deep-learning-global-models", "kernel_id": "37768216"}, {"ref": "austinleblanc9/notebookbdc2f11de1", "kernel_id": "37384860"}, {"ref": "yonathankidanemariam/store-sales-time-series-forecasting", "kernel_id": "37020539"}, {"ref": "junhaeng007/ai-assignment01", "kernel_id": "37149535"}, {"ref": "baireddypranayreddy/notebook3927fddfa1", "kernel_id": "37897427"}, {"ref": "leonhardpiff/store-sales-rnn", "kernel_id": "37704894"}, {"ref": "jayramesh2/notebookf78a4ccd33", "kernel_id": "37845696"}, {"ref": "katii696/exercise-trend", "kernel_id": "37836402"}, {"ref": "tobiaslenn/beginner-s-first-project-store-sales", "kernel_id": "37365023"}, {"ref": "sixilu/time-series-forecasting-with-deep-learning-lstm", "kernel_id": "38228546"}, {"ref": "toshimelonhead/store-sales-time-series-forecasting-using-sktime", "kernel_id": "38751782"}, {"ref": "xpehutta/engineering-approach-and-parallel-calc", "kernel_id": "38809360"}, {"ref": "markbquant/multivariate-time-series-bs2v17", "kernel_id": "38469895"}, {"ref": "dellalkhaled/storing-dataframes-in-one-excel", "kernel_id": "38547818"}, {"ref": "nedadarbeheshti/exercise-forecasting-with-machine-learning", "kernel_id": "38864799"}, {"ref": "mostafaahmedmostafa/notebook0e5c46ad1c", "kernel_id": "38934478"}, {"ref": "mpuig15/app-basic-example", "kernel_id": "38520990"}, {"ref": "areeshaary/time-series-analysis", "kernel_id": "38792599"}, {"ref": "ayushsunny/exploring-time-series-plots-beginners-guide", "kernel_id": "38438223"}, {"ref": "gautamimamidala/store-sales-1", "kernel_id": "38894333"}, {"ref": "kostyakk/store-sales", "kernel_id": "38613225"}, {"ref": "ranirathore/forecasting", "kernel_id": "38403644"}, {"ref": "thilananhnguyn/sarimax-beats-prophet-y-all", "kernel_id": "38801735"}, {"ref": "triyoladevi/sc-batch-4-final-project-the-rebels", "kernel_id": "38744422"}, {"ref": "chongzhenjie/ecuador-store-sales-global-forecasting-lightgbm", "kernel_id": "38110906"}, {"ref": "juancamilos29/kamilo-time-series", "kernel_id": "38019686"}, {"ref": "namirahwahyuniputri/fpzzzzzzzz", "kernel_id": "38150531"}, {"ref": "saworz/sales-forecast-xgboost-one-vs-multiple-models", "kernel_id": "38571852"}, {"ref": "shultanfaris/notebook6ae177ba88", "kernel_id": "38810806"}, {"ref": "shultanfaris/sc-batch-4-final-project-the-rebels", "kernel_id": "38462471"}, {"ref": "dmitryshekhov/darts-ensemble-with-lightgbm-stacking", "kernel_id": "38735944"}, {"ref": "cssswe/data-mining-xxx", "kernel_id": "38028555"}, {"ref": "terhuichee/sales-forecasting-arima-model", "kernel_id": "38472204"}, {"ref": "minhchaule/exercise-linear-regression-with-time-series", "kernel_id": "38980374"}, {"ref": "bindunethala/arima-model-on-time-series-forecasting", "kernel_id": "38110506"}, {"ref": "itaysong/fork-of-store-sales-15-5-23", "kernel_id": "38113536"}, {"ref": "pentakrishnakishore/exercise-linear-regression-with-time-series", "kernel_id": "38497273"}, {"ref": "suryaprakashmusunuri/store-sales-xpehutta", "kernel_id": "38898277"}, {"ref": "mandapallijahnavi/store-sales", "kernel_id": "38998622"}, {"ref": "farhanfahreza/projek-fifa", "kernel_id": "38359881"}, {"ref": "weichens/practice-arima-model", "kernel_id": "38729918"}, {"ref": "saptarshi7470/store-sales-ts-forecasting-corporaci-n-favorita", "kernel_id": "39231231"}, {"ref": "eddicao/grocery-sales-stores-analyze-visualize-data", "kernel_id": "39070197"}, {"ref": "krishnaraj30/regression-for-each-store-sale", "kernel_id": "39398299"}, {"ref": "otugrul/forecasting-using-auto-arima-with-exog-variables", "kernel_id": "39591969"}, {"ref": "nedadarbeheshti/exercise-hybrid-models", "kernel_id": "39063322"}, {"ref": "nedadarbeheshti/exercise-time-series-as-features", "kernel_id": "39019643"}, {"ref": "syaiferosm/corporation-favorita-sales-forecasting", "kernel_id": "39863321"}, {"ref": "amiribrahimtaj/e-commerce-sales-eda-time-series-forecasting-part2", "kernel_id": "39898061"}, {"ref": "sumeet07/eda-on-sales-forcasting", "kernel_id": "39254827"}, {"ref": "sourabhsingh03993493/store-sales-limited-graph", "kernel_id": "39054296"}, {"ref": "sauravmishraa/store-sales-time-series", "kernel_id": "39128884"}, {"ref": "shultanfaris/sc-showcase-the-rebels", "kernel_id": "39726076"}, {"ref": "shultanfaris/sc4-final-project-the-rebels", "kernel_id": "39127902"}, {"ref": "minhchaule/exercise-forecasting-with-machine-learning", "kernel_id": "39076446"}, {"ref": "minhchaule/exercise-hybrid-models", "kernel_id": "39074098"}, {"ref": "minhchaule/exercise-time-series-as-features", "kernel_id": "39066038"}, {"ref": "sadvikapuppala/time-series", "kernel_id": "39919857"}, {"ref": "ruriroziatun/forecasting15days", "kernel_id": "39862131"}, {"ref": "eishkaran/time-series-ensemble", "kernel_id": "39809838"}, {"ref": "mataphy/market-sales-time-series", "kernel_id": "39239153"}, {"ref": "mohamedaminesahraoui/store-sales-time-series-forecasting", "kernel_id": "39008199"}, {"ref": "wandayulianasriutami/final-project-time-series-forecasting", "kernel_id": "39834354"}, {"ref": "virliesmanalu/hyperparamaters", "kernel_id": "39206104"}, {"ref": "hannafasya/praktikum2-part1", "kernel_id": "39218940"}, {"ref": "retnovega/time-series-forecasting-tutorial", "kernel_id": "39219618"}, {"ref": "retnovega/store-sales-2", "kernel_id": "39218275"}, {"ref": "retnovega/store-sales-with-lightgbm", "kernel_id": "39228169"}, {"ref": "devanshu3214/lstm-present", "kernel_id": "39865529"}, {"ref": "devanshu3214/store-sales-forecasting", "kernel_id": "39964729"}, {"ref": "baaaaamj/ds516-rf-lgbm", "kernel_id": "39045794"}, {"ref": "mrizkikurniawan1001/final-project", "kernel_id": "39858520"}, {"ref": "patthanawut/time-series-grocery-sales-prediction", "kernel_id": "39790565"}, {"ref": "divariotaufiq1/time-series-forecasting-tutorial", "kernel_id": "39291602"}, {"ref": "divariotaufiq1/hyperparamaters", "kernel_id": "39292612"}, {"ref": "fabmcufrj/notebook71b647931b", "kernel_id": "39342234"}, {"ref": "wangtugua/store-sales-time-series-forecasting-hybrid-model", "kernel_id": "39287544"}, {"ref": "felipespirandelli/exercise-hybrid-models-853fa2", "kernel_id": "39373232"}, {"ref": "felipespirandelli/exercise-seasonality", "kernel_id": "39346405"}, {"ref": "felipespirandelli/exercise-linear-regression-with-time-series", "kernel_id": "39345584"}, {"ref": "felipespirandelli/exercise-trend", "kernel_id": "39345953"}, {"ref": "bagasmiftahun/store-sales", "kernel_id": "39521514"}, {"ref": "daaadaaa/store-sales-time-series-forecasting", "kernel_id": "40405039"}, {"ref": "otugrul/holt-and-triple-expo-smooth-with-stl-decomposion", "kernel_id": "40029194"}, {"ref": "rakesh82rawat/rr-super-store-sales-prediction-top-78", "kernel_id": "40531790"}, {"ref": "abdulaziz7/dataset-exploration-understanding-main-tables", "kernel_id": "40985835"}, {"ref": "loki97/store-sales-time-series-using-arima-model", "kernel_id": "40009346"}, {"ref": "ruthhashkes/store-sales-eda", "kernel_id": "40800533"}, {"ref": "cludiotoledo/store-sales", "kernel_id": "40936075"}, {"ref": "victorvieirat/eda-store-sales", "kernel_id": "40578073"}, {"ref": "pohzixiang/sales-forecast-with-time-series-var-zx", "kernel_id": "40917478"}, {"ref": "rushanggala/eda-on-store-sales-time-series-data", "kernel_id": "40269304"}, {"ref": "ashmalvayani/time-series-basics", "kernel_id": "40187919"}, {"ref": "ahmedselimkassem/exercise-linear-regression-with-time-series", "kernel_id": "40371766"}, {"ref": "funkeymonkey/exercise-linear-regression-with-time-series", "kernel_id": "40191281"}, {"ref": "charliebrewer/time-series-ets", "kernel_id": "40626615"}, {"ref": "emmanueldjegou/financial-data-science-i-2d-data-visualization", "kernel_id": "40248165"}, {"ref": "ishigakiryuto/notebookd13ae4968f-for-ds", "kernel_id": "40995292"}, {"ref": "rushikeshsawarkar/store-sales-xgboost-vs-sarimax", "kernel_id": "40822406"}, {"ref": "jaumetarrscastell/sales-time-series-forcasting-simple-linear-model", "kernel_id": "40764778"}, {"ref": "ilyanozary/cleaned-data-for-modeling-notebook", "kernel_id": "40442503"}, {"ref": "nazimcherpanov/time-series-xgboost-catboost-tscv", "kernel_id": "40362563"}, {"ref": "harinuu/store-sales-competition", "kernel_id": "40391681"}, {"ref": "naveenkumar20bps1137/time-series-forecasting-lstm", "kernel_id": "40868616"}, {"ref": "ashishjagdishsharma/store-sales-time-series-forecasting", "kernel_id": "40800248"}, {"ref": "anastasiakorotkova/exploratory-data-analysis-ml-store-sales", "kernel_id": "40175016"}, {"ref": "hemarajuvaradi/time-series-analysis-on-climate-conditions", "kernel_id": "40656489"}, {"ref": "shouvikdey21/store-sales-arima-model-forecasting", "kernel_id": "40478433"}, {"ref": "nguyenthituyetmaivn/dsp305-time-series-forecasting-final", "kernel_id": "40387182"}, {"ref": "itasrihastuti/ita-store-sales-competition", "kernel_id": "40392868"}, {"ref": "sintaariyani/uas-time-series-klp-6", "kernel_id": "40386048"}, {"ref": "sintaariyani/uas-klp-6-time-series", "kernel_id": "40650156"}, {"ref": "jaaypatel/eda-visualization", "kernel_id": "40718796"}, {"ref": "huykien/thesis-code", "kernel_id": "40870191"}, {"ref": "anchitmaheshwari/time-series-forecasting", "kernel_id": "40687428"}, {"ref": "shibainu3/forecasting", "kernel_id": "40566928"}, {"ref": "yukikeda17/store-sales-time-series-forecast-visualization", "kernel_id": "40572340"}, {"ref": "hotsumaoshima/notebook57d0e8036e", "kernel_id": "40529001"}, {"ref": "hiromumatsumura/notebook157c29eb68", "kernel_id": "40784136"}, {"ref": "kantakaka/sales-store", "kernel_id": "40788824"}, {"ref": "soossos/notebook87d3cef269", "kernel_id": "40568961"}, {"ref": "arsisleaf/notebook257e90453b", "kernel_id": "40649466"}, {"ref": "kenymm/notebook2b378d27fd", "kernel_id": "40784131"}, {"ref": "hide14/notebook20b64f0f0e", "kernel_id": "40933017"}, {"ref": "matsuokaatsushi2/notebook7b74f427ec", "kernel_id": "40647938"}, {"ref": "shunsukeizutani/notebookc628e218cb", "kernel_id": "40778513"}, {"ref": "fujiwaraitaru/notebook5561c0655e", "kernel_id": "40786055"}, {"ref": "sowaryota/notebook1a2a327c8c", "kernel_id": "40567129"}, {"ref": "kilooscarsierra/notebookf0463b6c91", "kernel_id": "40616132"}, {"ref": "waleedgamaa/exercise-linear-regression-with-time-series", "kernel_id": "40886873"}, {"ref": "twinpilgrim/storesales-basic-time-embedding-xbg-catboost", "kernel_id": "41847143"}, {"ref": "vshockerz/time-series-analysis", "kernel_id": "41695859"}, {"ref": "mukilankrishnakumar/exercise-hybrid-models", "kernel_id": "41176047"}, {"ref": "mukilankrishnakumar/exercise-time-series-as-features", "kernel_id": "41139453"}, {"ref": "mukilankrishnakumar/exercise-forecasting-with-machine-learning", "kernel_id": "41212712"}, {"ref": "mukilankrishnakumar/exercise-linear-regression-with-time-series", "kernel_id": "41087637"}, {"ref": "mukilankrishnakumar/exercise-seasonality", "kernel_id": "41120378"}, {"ref": "mukilankrishnakumar/exercise-trend", "kernel_id": "41118730"}, {"ref": "leandrocdelgado/beedata-series-temporais-01-explora-o", "kernel_id": "41570960"}, {"ref": "leandrocdelgado/beedata-series-temporais-03-mvp", "kernel_id": "41571006"}, {"ref": "giulioriggio/exercise-linear-regression-with-time-series", "kernel_id": "41314429"}, {"ref": "lyujuncen/notebook1942ca7c3b", "kernel_id": "41523560"}, {"ref": "lyujuncen/notebook57f282ad1e", "kernel_id": "41274942"}, {"ref": "rajatraj0502/store-sales-time-series-forecasting", "kernel_id": "41364036"}, {"ref": "risakashiwabara/eda-interactive-visualization-in-python", "kernel_id": "41232823"}, {"ref": "sumitj3na/store-sales-prediction-time-series", "kernel_id": "41164911"}, {"ref": "golammostofas/sales-time-forecasting-for-beginner", "kernel_id": "41699509"}, {"ref": "aideesis/a-simple-solution-for-store-sales", "kernel_id": "41447357"}, {"ref": "abdelrahmanaboelnaga/time-series-ml-accuracy-98", "kernel_id": "41328820"}, {"ref": "yasseralwan/corporaci-n-favorita", "kernel_id": "41404186"}, {"ref": "ireneagyebi/product-demand-forecasting-with-facebook-prophet", "kernel_id": "41703374"}, {"ref": "lucasfuller96/store-sales-using-lgbmregressor", "kernel_id": "41205862"}, {"ref": "ayushkumarnayak/store-sales-prediction-with-arima-models", "kernel_id": "41271211"}, {"ref": "yunsuxiaozi/timeseries-flaml", "kernel_id": "41715668"}, {"ref": "yunsuxiaozi/time-series-with-xgboost", "kernel_id": "41187490"}, {"ref": "yunsuxiaozi/data-handling", "kernel_id": "41352140"}, {"ref": "abdullah7aled/time-series-analysis", "kernel_id": "41291959"}, {"ref": "sakshiagarwal17/time-series-predictions", "kernel_id": "41506089"}, {"ref": "rafaelcuntofilho/projeto-constelation-2", "kernel_id": "41510860"}, {"ref": "csrjr0/projeto-s-ries-temporais-beedata", "kernel_id": "41519551"}, {"ref": "gustavovazpinto/store-sales-beedata", "kernel_id": "41211102"}, {"ref": "davicoelh0/notebook42f178e2b7", "kernel_id": "41317148"}, {"ref": "himasharodrigo/store-sales-time-series-forecasting", "kernel_id": "41996867"}, {"ref": "nisioka/notebook2787b9c2de", "kernel_id": "41500728"}, {"ref": "nisioka/notebookb915a57fb5", "kernel_id": "41499675"}, {"ref": "yutainui/notebook322ce4ff5b", "kernel_id": "41034461"}, {"ref": "keitamurayama/notebookd21e54d69e", "kernel_id": "41054944"}, {"ref": "kaitonishimura/notebook5ec0d738bd", "kernel_id": "41523597"}, {"ref": "yukikeda17/fork-of-store-sales-time-series-forecast-visual", "kernel_id": "41119855"}, {"ref": "yamagatahitomi/notebookd13ae4968f-for-ds", "kernel_id": "41293490"}, {"ref": "yamagatahitomi/notebook6570648979", "kernel_id": "41491171"}, {"ref": "pulingyi/notebook2b378d27fd-af52fe", "kernel_id": "41181064"}, {"ref": "pulingyi/notebook5a8f3017c2", "kernel_id": "41181394"}, {"ref": "kagglehir/datasciencelast1", "kernel_id": "41496878"}, {"ref": "okumotohiroshi/notebook0c55301f2f", "kernel_id": "41292899"}, {"ref": "o20230622/notebookcef3775183", "kernel_id": "41287798"}, {"ref": "unirai/notebook45fbeee48c", "kernel_id": "41470328"}, {"ref": "kazumichiiwamura/notebook76ac3bfd5a-7d8ce6", "kernel_id": "41523499"}, {"ref": "kazumichiiwamura/notebook76ac3bfd5a", "kernel_id": "41293299"}, {"ref": "minoritakasugi/notebookd13ae4968f-for-ds", "kernel_id": "41293575"}, {"ref": "minoritakasugi/notebook20cdbc21be", "kernel_id": "41524334"}, {"ref": "zheng35/notebooke41ae00e77", "kernel_id": "41604502"}, {"ref": "yugokk/notebookebb57f277b", "kernel_id": "41398008"}, {"ref": "soraueda/notebook76ac3bfd5a", "kernel_id": "41288973"}, {"ref": "takenaka1192/notebook-data-science-group-work", "kernel_id": "41315915"}, {"ref": "priya2701/friendsdata-eda", "kernel_id": "41145252"}, {"ref": "tobitanaoki/notebook58669fe535", "kernel_id": "41503231"}, {"ref": "tobitanaoki/notebook1102b20504", "kernel_id": "41514405"}, {"ref": "sftmadd/notebookfbc4ae2458", "kernel_id": "41491342"}, {"ref": "hide14/notebook1942ca7c3b", "kernel_id": "41520062"}, {"ref": "masashitakayama/notebook87769b2394", "kernel_id": "41523909"}, {"ref": "naotonakayama/notebook7469e4fe1d", "kernel_id": "41489464"}, {"ref": "frdsgt/notebook49w515hd4o", "kernel_id": "41486947"}, {"ref": "maedaryogo/notebookf5d21b6060", "kernel_id": "41376714"}, {"ref": "yokomitaiki/notebookadd66a66b4", "kernel_id": "41485262"}, {"ref": "yokomitaiki/notebook7708591764", "kernel_id": "41599028"}, {"ref": "hayatohiramatsu/notebook76ac3bfd5a-8a04de", "kernel_id": "41530530"}, {"ref": "hayatohiramatsu/notebook76ac3bfd5a", "kernel_id": "41294515"}, {"ref": "daikifujiwara/notebook213070572e", "kernel_id": "41526178"}, {"ref": "daikifujiwara/notebook3a4702f2b3", "kernel_id": "41052930"}, {"ref": "hirotokusatsu/notebook74439eef37", "kernel_id": "41055519"}, {"ref": "mikihayato/notebook8592c958ae", "kernel_id": "41376808"}, {"ref": "suto390/notebook1942ca7c3b", "kernel_id": "41481891"}, {"ref": "taisei0510/notebook76ac3bfd5a", "kernel_id": "41607711"}, {"ref": "furutashunsuke/notebook8c62b56ede", "kernel_id": "41518952"}, {"ref": "lethuyhoangyen/notebook7469e4fe1d", "kernel_id": "41581245"}, {"ref": "sakaiharuto/fork-of-notebook2368a6a309", "kernel_id": "41295488"}, {"ref": "c612331008/notebook1942ca7c3b", "kernel_id": "41518739"}, {"ref": "c612331008/notebookd5c1f99e6e", "kernel_id": "41060522"}, {"ref": "nishii0101/notebook87162881b0", "kernel_id": "41052720"}, {"ref": "nishii0101/notebook1942ca7c3b", "kernel_id": "41523943"}, {"ref": "twinpilgrim/store-sales-results-by-families", "kernel_id": "42041755"}, {"ref": "lorentzyeung/calendarfourier-deterministicprocess-fourier", "kernel_id": "42782542"}, {"ref": "shaunak1105/trend", "kernel_id": "42514749"}, {"ref": "davidrpugh/simple-sales-forecasting-pipeline", "kernel_id": "42911023"}, {"ref": "davidrpugh/sales-forecasting-pipeline-with-trends", "kernel_id": "42913773"}, {"ref": "yakinoki/sales-time-forecasting-with-optuna", "kernel_id": "42519017"}, {"ref": "florinandrei/notebook841987d63f", "kernel_id": "42479064"}, {"ref": "rohitdileep/lgb-regressor-sales-forecasting", "kernel_id": "42751711"}, {"ref": "caiomaxximus/previs-o-de-vendas-da-corporaci-n-favorita", "kernel_id": "42171487"}, {"ref": "yusukekayahara/kaya-store-sales-prediction-demo", "kernel_id": "42545893"}, {"ref": "dsvoon/store-sales-time-series-forecasting-lightgbm", "kernel_id": "42863323"}, {"ref": "joeferndz/eda-and-forecasting-on-store-sales", "kernel_id": "42734471"}, {"ref": "amosbationo/time-series-forecasting-facebook-prophet-python", "kernel_id": "42856305"}, {"ref": "aliwannous2021/ann-psstsf", "kernel_id": "42522674"}, {"ref": "younesskhanjar/store-sales-solution", "kernel_id": "42469000"}, {"ref": "burcakaydn/exercise-linear-regression-with-time-series", "kernel_id": "42648460"}, {"ref": "burcakaydn/time-series-forecasting-with-machine-learning", "kernel_id": "42663966"}, {"ref": "n1ghtcube/store-sales-comp-ts", "kernel_id": "42149031"}, {"ref": "clkmuhammed/store-sales-eda-holidays-events-for-time-series", "kernel_id": "42944357"}, {"ref": "navinduthesanka/time-series", "kernel_id": "42374800"}, {"ref": "alizgrdede/store-sales", "kernel_id": "42062602"}, {"ref": "ignaciotigurius/my-store-sales-time-series-forecasting", "kernel_id": "42936702"}, {"ref": "sitanshuanmol/sales-forecasting-xgb", "kernel_id": "42040483"}, {"ref": "soardraspi/getting-started-p3", "kernel_id": "42722138"}, {"ref": "neerajkumar75260/ann-psstsf", "kernel_id": "42964069"}, {"ref": "ruchihardaha/exercise-time-series-as-features", "kernel_id": "42987717"}, {"ref": "sanatays/notebook5e6e5e8a22", "kernel_id": "42002456"}, {"ref": "kamalnayan10/time-series-prophet", "kernel_id": "42800572"}, {"ref": "bluesim/time-serise-forecasting-for-store-sales", "kernel_id": "42602803"}, {"ref": "bulbazavr/exercise-seasonality", "kernel_id": "42870591"}, {"ref": "carolinaarratia/sales-reto", "kernel_id": "42541317"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "erickjbf/vendas-loja-mineracao-final", "kernel_id": "42136644"}, {"ref": "nayonranidulochana/notebook035141c5d1", "kernel_id": "42735748"}, {"ref": "hurairamuzafar/pric-prediction", "kernel_id": "42387405"}, {"ref": "hildabeltran/retoia", "kernel_id": "42512171"}, {"ref": "ericcwh/xgboost-for-store-sales-time-series-forecast", "kernel_id": "42767802"}, {"ref": "alwayshubham/notebookc5417201ae", "kernel_id": "42970850"}, {"ref": "josemariarobledolara/exercise-seasonality", "kernel_id": "42099382"}, {"ref": "dreamboat26/exercise-forecasting-with-machine-learning", "kernel_id": "42596203"}, {"ref": "dreamboat26/exercise-hybrid-models", "kernel_id": "42596085"}, {"ref": "dreamboat26/exercise-time-series-as-features", "kernel_id": "42595850"}, {"ref": "crisespinosa96/notebook61facd10ef", "kernel_id": "42095132"}, {"ref": "dhrudeepthakkar/store-sales-prediction-sarimax", "kernel_id": "42426427"}, {"ref": "twinpilgrim/store-sales-running-tsfresh-in-monthly-batches", "kernel_id": "43242059"}, {"ref": "twinpilgrim/store-sales-by-families-and-using-tsfresh", "kernel_id": "43245564"}, {"ref": "davidrpugh/forecasting-with-neuralforecast-part-1", "kernel_id": "43231132"}, {"ref": "davidrpugh/advanced-sklearn-pipelines", "kernel_id": "43284691"}, {"ref": "davidrpugh/naive-sales-forecasting-pipeline-part-2", "kernel_id": "43015436"}, {"ref": "davidrpugh/naive-sales-forecasting-pipeline", "kernel_id": "43014860"}, {"ref": "davidrpugh/hierarchical-sales-forecasting-pipeline-part-1", "kernel_id": "43090364"}, {"ref": "davidrpugh/sales-forecasting-with-mlforecast-part-2", "kernel_id": "43147668"}, {"ref": "davidrpugh/sales-forecasting-with-mlforecast-part-1", "kernel_id": "43144177"}, {"ref": "udayr007/exercise-seasonality", "kernel_id": "43539168"}, {"ref": "udayr007/exercise-linear-regression-with-time-series", "kernel_id": "43508036"}, {"ref": "udayr007/exercise-trend", "kernel_id": "43513545"}, {"ref": "udayr007/exercise-hybrid-models", "kernel_id": "43636590"}, {"ref": "udayr007/exercise-time-series-as-features", "kernel_id": "43618355"}, {"ref": "udayr007/exercise-forecasting-with-machine-learning", "kernel_id": "43653023"}, {"ref": "beezus666/store-sales-getting-started", "kernel_id": "43431843"}, {"ref": "shinomoriaoshi/problem-set-1", "kernel_id": "43506564"}, {"ref": "alisakr/equador-sales-competition", "kernel_id": "43075457"}, {"ref": "florinandrei/fourier-spectrogram-ensemble-models", "kernel_id": "43974653"}, {"ref": "dangnguyen97/0-38006-lightgbm", "kernel_id": "43376394"}, {"ref": "kelvinquansah/sales-prediction", "kernel_id": "43969613"}, {"ref": "supaseksamurai88/store-sales-james-eda", "kernel_id": "43220865"}, {"ref": "arjunprakashrao/time-series-analysis-prophet", "kernel_id": "43610797"}, {"ref": "sarvagyaporwal/storesales-1-eda-boostedhybridmodelling", "kernel_id": "43270696"}, {"ref": "mathurmudit2022/exploratory-data-analysis-store-sales", "kernel_id": "43860111"}, {"ref": "jackksoncsie/rnn-model", "kernel_id": "43638119"}, {"ref": "abdullahluqman/sales-prediction", "kernel_id": "43495486"}, {"ref": "alvrod/store-sales-competition", "kernel_id": "43321586"}, {"ref": "tarekujjaman/bitcoin-price-prediction-arima-and-prophet", "kernel_id": "43095403"}, {"ref": "unsatisfiable/investigating-3m-instances-of-data", "kernel_id": "43279246"}, {"ref": "haseebwar07/store-sales-time-series-forecasting", "kernel_id": "43773475"}, {"ref": "ruiyigao20/exercise-forecasting-with-machine-learning", "kernel_id": "43024824"}, {"ref": "aurelegermain/store-sales-time-series-forecasting", "kernel_id": "43093338"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "uom200647r/200647r-store-sales-regression", "kernel_id": "43517013"}, {"ref": "uom200574n/time-series-lab-group24-ii", "kernel_id": "43497092"}, {"ref": "uom200574n/time-series-lab-group24", "kernel_id": "43379813"}, {"ref": "imtommi/store-sales-analysis", "kernel_id": "43709524"}, {"ref": "thistine/sales-2", "kernel_id": "43863488"}, {"ref": "ppinng/predict-stall-sales", "kernel_id": "43212777"}, {"ref": "diegodazayala/retofinal", "kernel_id": "43187251"}, {"ref": "kyawswarhein/kyawswarhein-first-data-visualization", "kernel_id": "43462212"}, {"ref": "kyawswarhein/ulyssus-first-visualization-assignment", "kernel_id": "43375944"}, {"ref": "kitibhum/predict-store-sales-pooh", "kernel_id": "43383906"}, {"ref": "sorrawitkwanja/data-viz-predict-store-sale", "kernel_id": "43296827"}, {"ref": "davidrpugh/forecasting-oil-prices", "kernel_id": "44382933"}, {"ref": "shuthdar/modelling-with-sine", "kernel_id": "44095697"}, {"ref": "benedictthen/store-sales-forecast-detailed-steps", "kernel_id": "44986286"}, {"ref": "chmasgun/sales-predictions-simple-but-powerful-moving-avg", "kernel_id": "44915875"}, {"ref": "robinlutter/store-sales-forecasting", "kernel_id": "44917187"}, {"ref": "victorvieirat/submission-example-store-sales", "kernel_id": "44356746"}, {"ref": "supaseksamurai88/exercise-seasonality", "kernel_id": "44546987"}, {"ref": "prasadposture121/time-series-forecasting-with-arima", "kernel_id": "44090430"}, {"ref": "eduardobrilliandy/timeseries-v1", "kernel_id": "44199703"}, {"ref": "eduardobrilliandy/timeseries-v3-darts", "kernel_id": "44321166"}, {"ref": "eduardobrilliandy/timeseries-v5", "kernel_id": "44698599"}, {"ref": "luuthanhtung2401/exploratory-data-analysis-ml-store-sales", "kernel_id": "44548472"}, {"ref": "travin5/building-neural-network-with-keras", "kernel_id": "44621236"}, {"ref": "samuelgachuhi/gachuhi-store-sales-submission", "kernel_id": "44482122"}, {"ref": "vadimgur/exercise-seasonality", "kernel_id": "44002987"}, {"ref": "yantaoxi/1-ts-linear-regression-with-time-series", "kernel_id": "44329781"}, {"ref": "yantaoxi/2-ts-trend", "kernel_id": "44330333"}, {"ref": "yantaoxi/4-ts-time-series-as-features", "kernel_id": "44331536"}, {"ref": "yantaoxi/3-ts-seasonality", "kernel_id": "44330979"}, {"ref": "yantaoxi/5-ts-hybrid-models", "kernel_id": "44332238"}, {"ref": "yantaoxi/6-ts-forecasting-with-machine-learning", "kernel_id": "44332572"}, {"ref": "boonky/preprocessed-store-data", "kernel_id": "44641550"}, {"ref": "gopaltheboss/exercise-trend", "kernel_id": "44304139"}, {"ref": "gopaltheboss/exercise-seasonality", "kernel_id": "44304768"}, {"ref": "gopaltheboss/exercise-time-series-as-features", "kernel_id": "44305319"}, {"ref": "gopaltheboss/exercise-linear-regression-with-time-series", "kernel_id": "44103795"}, {"ref": "mrtoddy/kagglepredic", "kernel_id": "44565625"}, {"ref": "chandery/notebook24f77d4c35", "kernel_id": "44855243"}, {"ref": "stpeteishii/store-sales-prophet-pseudo-labeling-to-lgbm", "kernel_id": "45059997"}, {"ref": "lasm1984/storesales-eda-and-prophet-multi-models", "kernel_id": "45642806"}, {"ref": "sharif33/exercise-linear-regression-with-time-series", "kernel_id": "45392613"}, {"ref": "ianspektor/forecasting-store-sales-with-temporian-and-xgboost", "kernel_id": "45539060"}, {"ref": "anmol03kumar/27th-place-solution-on-time-series-analysis", "kernel_id": "45252088"}, {"ref": "alvrod/store-sales-for-begginners", "kernel_id": "45296015"}, {"ref": "priyamythilimarella/store-sales-eda-ml", "kernel_id": "45534006"}, {"ref": "shloknemani1278/storesalespredictionnotebook", "kernel_id": "45353566"}, {"ref": "kittipatphunjanna/store-sales-ts-forecasting-xgb-beginner-practice", "kernel_id": "45680539"}, {"ref": "amirfares/time-series-forcasting-getting-started", "kernel_id": "45055553"}, {"ref": "longdang02/polars-miceforest-lbfgs-opitmizer", "kernel_id": "45322427"}, {"ref": "ivanlydkin/time-series-course-a-practical-guide", "kernel_id": "45105451"}, {"ref": "nandanparalikar/exercise-linear-regression-with-time-series", "kernel_id": "45421418"}, {"ref": "yamamototaiki/sales-predict", "kernel_id": "45151955"}, {"ref": "jonasfeierabend21/withskt", "kernel_id": "45925786"}, {"ref": "alsukhairullina107/time-series-forecasting", "kernel_id": "45828811"}, {"ref": "monismomin2002/store-sales-beginner-friendly", "kernel_id": "45504966"}, {"ref": "tobeek/product-demand-forecast", "kernel_id": "45417198"}, {"ref": "ohoudhamad/notebook077e15d24c", "kernel_id": "45582158"}, {"ref": "ghidagigi/notebook077e15d24c", "kernel_id": "45538382"}, {"ref": "nayan1247/sample-template-store-sales", "kernel_id": "46911829"}, {"ref": "lemuz90/coreforecast-temporian-grouped-moving-avg", "kernel_id": "46759182"}, {"ref": "simongsponer/baseline-model-beating-majority-88", "kernel_id": "46462471"}, {"ref": "rupakroy/boosted-hybrid-model-forecasting-with-residuals", "kernel_id": "46778286"}, {"ref": "rinsos/store-sales-test-various-models", "kernel_id": "46980118"}, {"ref": "supaseksamurai88/2nd-seasonal-model", "kernel_id": "46791567"}, {"ref": "nayeemuddinkhan/darts-forecasting-deep-learning-global-models", "kernel_id": "46966065"}, {"ref": "pachecopacheco4/store-sales-forecasting", "kernel_id": "46347466"}, {"ref": "ahmedelashrybdm/time-series-course-bounce-lesson", "kernel_id": "46698368"}, {"ref": "jerryodegua/eda-for-time-series", "kernel_id": "46025132"}, {"ref": "jasonatdginnotech/time-series", "kernel_id": "46441867"}, {"ref": "seongmik/seongmik-eda", "kernel_id": "46732832"}, {"ref": "adheeshakalahegamage/group-10-notebook-v4", "kernel_id": "46363300"}, {"ref": "jordanbell2357/trend", "kernel_id": "46222510"}, {"ref": "jordanbell2357/exercise-linear-regression-with-time-series", "kernel_id": "46222999"}, {"ref": "jordanbell2357/linear-regression-with-time-series", "kernel_id": "46221283"}, {"ref": "jordanbell2357/exercise-seasonality", "kernel_id": "46229958"}, {"ref": "jordanbell2357/seasonality", "kernel_id": "46229104"}, {"ref": "jordanbell2357/exercise-trend", "kernel_id": "46227568"}, {"ref": "jordanbell2357/forecasting-with-machine-learning", "kernel_id": "46317136"}, {"ref": "jordanbell2357/exercise-hybrid-models", "kernel_id": "46314977"}, {"ref": "jordanbell2357/exercise-time-series-as-features", "kernel_id": "46279405"}, {"ref": "jordanbell2357/time-series-as-features", "kernel_id": "46279412"}, {"ref": "jordanbell2357/hybrid-models", "kernel_id": "46285770"}, {"ref": "jordanbell2357/exercise-forecasting-with-machine-learning", "kernel_id": "46369246"}, {"ref": "uomml23msc239374b/group-10-notebook-v2", "kernel_id": "46309711"}, {"ref": "uomml23msc239369n/group-10-notebook-v5", "kernel_id": "46357808"}, {"ref": "uomml23msc239369n/group-10-notebook-final", "kernel_id": "46366543"}, {"ref": "boonky/fork-of-preprocessed-store-data", "kernel_id": "46730855"}, {"ref": "ppinng/for-training-store-sales", "kernel_id": "46759084"}, {"ref": "ppinng/testing-notebook", "kernel_id": "46932703"}, {"ref": "dimodimchev/store-sales-prediction", "kernel_id": "46181250"}, {"ref": "ddhyeok/baseline", "kernel_id": "46077383"}, {"ref": "chandrahasm/sales-predict", "kernel_id": "46882696"}, {"ref": "shapekim98/seongmik-eda", "kernel_id": "46856983"}, {"ref": "raghadxza/notebook12ef2f7a56", "kernel_id": "46201653"}, {"ref": "raghadxza/ml-store-project", "kernel_id": "46300752"}, {"ref": "ghidagigi/notebook12ef2f7a56", "kernel_id": "46197237"}, {"ref": "ghidagigi/time-series-forecasting-simplified", "kernel_id": "46198490"}, {"ref": "ghidagigi/exercise-linear-regression-with-time-serie-e77f79", "kernel_id": "46198725"}, {"ref": "liqiana/building-neural-network", "kernel_id": "46832986"}, {"ref": "javiber/forecasting-store-sales-with-temporian-and-tfdf", "kernel_id": "47151039"}, {"ref": "antoinegruson/sales-forecasting-using-gluonts", "kernel_id": "47962749"}, {"ref": "sciencestoked/notebook95fa1f27d7", "kernel_id": "47158282"}, {"ref": "ingenio/tugas-besar-scm", "kernel_id": "47190092"}, {"ref": "supaseksamurai88/1store-sales-trend-prediction", "kernel_id": "47070159"}, {"ref": "noahlevaton/sales-forecast-each-store", "kernel_id": "47804767"}, {"ref": "pelinkeskin/time-series-forecasting-with-tensorflow-lstm-cnn", "kernel_id": "47403375"}, {"ref": "ohagwucollinspatrick/store-sales-time-series-forecasting-w-lstm", "kernel_id": "47324370"}, {"ref": "denisemtatih/exercise-linear-regression-with-time-series", "kernel_id": "47829730"}, {"ref": "hanadinh0492/exercise-linear-regression-with-time-series", "kernel_id": "47067646"}, {"ref": "ppinng/knn-with-5-neighbors", "kernel_id": "47086088"}, {"ref": "razorleaf101/time-series-forecasting", "kernel_id": "47597155"}, {"ref": "kitibhum/knnr-test", "kernel_id": "47087647"}, {"ref": "kossasbai/store-sales-time-series-forecasting-ks", "kernel_id": "48569771"}, {"ref": "davidandressanchez/stl-forecast", "kernel_id": "48823480"}, {"ref": "lauvfpitipak/lightgbm-store-sales-forcasting", "kernel_id": "48765213"}, {"ref": "ianspektor/temporal-ops-benchmark", "kernel_id": "48539354"}, {"ref": "jjasonnn/datamining-final", "kernel_id": "48810876"}, {"ref": "danielcoloma/prueba-tiendas-series-lineales", "kernel_id": "48873683"}, {"ref": "danielcoloma/store-sales-forecasting-prueba", "kernel_id": "48889224"}, {"ref": "mohamednijadi/sales-forecasting-with-deep-learning", "kernel_id": "48583542"}, {"ref": "natsukihashimoto/time-series-analysis-and-sarima-model", "kernel_id": "48397894"}, {"ref": "noahlevaton/sales-forecast-each-store-feature-engineering", "kernel_id": "48189361"}, {"ref": "williambenitez/storesalestf", "kernel_id": "48144500"}, {"ref": "sthevanimanurung/exitfalse", "kernel_id": "48056593"}, {"ref": "denisemtatih/exercise-time-series-as-features", "kernel_id": "48467891"}, {"ref": "denisemtatih/exercise-trend", "kernel_id": "48185429"}, {"ref": "denisemtatih/exercise-seasonality", "kernel_id": "48227431"}, {"ref": "denisemtatih/exercise-hybrid-models", "kernel_id": "48837445"}, {"ref": "pacesetter55/exercise-seasonality", "kernel_id": "48111830"}, {"ref": "litsea/store-sales-for-beginners", "kernel_id": "48416493"}, {"ref": "kagstick/store-sales", "kernel_id": "48185133"}, {"ref": "pawelx11/storesales-solution-linear-model", "kernel_id": "48734105"}, {"ref": "bhaskarboruah/store-sales-rnn", "kernel_id": "48962376"}, {"ref": "rendisibarani/kelompok-04-store-sales-time-series-forecastings", "kernel_id": "48059037"}, {"ref": "baggiponte/polars-feature-engineering", "kernel_id": "48084372"}, {"ref": "zeus101/notebook6759dba1a8", "kernel_id": "48155385"}, {"ref": "zeus101/kaggle", "kernel_id": "48133376"}, {"ref": "junkokato/user-store-sales-simple-solution-only-using-train", "kernel_id": "48720242"}, {"ref": "junkokato/store-sales-key-data-visualized-with-charts", "kernel_id": "48806996"}, {"ref": "bryandang/store-sales-time-series-forecasting-bryan-dang", "kernel_id": "48238093"}, {"ref": "viviankkwok/notebook076d07bec4-most-recent", "kernel_id": "48625668"}, {"ref": "davidkirkbrideblk/blk-team-28-team-stark", "kernel_id": "48704384"}, {"ref": "zrli108/time-series-forecasting-with-tensorflow-lstm-cnn", "kernel_id": "48365561"}, {"ref": "claudiaiqera/store-sales-linear-regression-forecasting", "kernel_id": "48637845"}, {"ref": "hcshen916/var-method-store-sales-time-series-forecasting", "kernel_id": "49257674"}, {"ref": "davidandressanchez/diy008-feature-engineering-for-time-series", "kernel_id": "49622809"}, {"ref": "davidandressanchez/diy-008", "kernel_id": "49680711"}, {"ref": "davidandressanchez/date-and-time-manipulation", "kernel_id": "49919642"}, {"ref": "mpuig15/tech-hands-on-activity-basic-example", "kernel_id": "49519696"}, {"ref": "charles01dev/exercise-forecasting-with-machine-learning", "kernel_id": "49910500"}, {"ref": "goddiao/sales-forecasting-with-optimized-trainset", "kernel_id": "49387509"}, {"ref": "vinciusspark/store-sales-time-series-forecasting-vas", "kernel_id": "49174167"}, {"ref": "shreyasharma28/lstm-forecasting", "kernel_id": "49934007"}, {"ref": "luisdanielrodrguez/proyecto-final-store-sales-time-series-forecasting", "kernel_id": "49580197"}, {"ref": "vishnupriyagarige/store-sales-time-series-forecasting", "kernel_id": "49854847"}, {"ref": "victorszegaldeano/notebook4b069c8804", "kernel_id": "49495372"}, {"ref": "victorszegaldeano/lstm-attempt-any-idea-how-i-can-improve-it", "kernel_id": "49495139"}, {"ref": "nguyenthituyetmaivn/ecuador-store-sales-global-forecasting-lightgbm", "kernel_id": "49979598"}, {"ref": "sangammahajan01/store-sales-lstm-forecasting", "kernel_id": "49156674"}, {"ref": "andreibratescu/fai-project", "kernel_id": "49478753"}, {"ref": "johnyaldean/time-series-linear-regression", "kernel_id": "49816576"}, {"ref": "rajendrakpandey/store-sales-time-series-forecasting-v1", "kernel_id": "49086380"}, {"ref": "graceveraa/store-sales-time-series-forecasting", "kernel_id": "49688675"}, {"ref": "kimuraobinna/sales-foracasting-with-time", "kernel_id": "49381939"}, {"ref": "simongsponer/full-dataset-for-competition", "kernel_id": "50874714"}, {"ref": "ambar007/tech-hands-on-jan24", "kernel_id": "50015020"}, {"ref": "prashantchoubey1/sales-forecast-arima-time-series-modeling", "kernel_id": "50557368"}, {"ref": "arnrob/store-sales-prophet", "kernel_id": "50980631"}, {"ref": "agshiv92/sales-data-forecasting-full-guide-for-beginners", "kernel_id": "50648547"}, {"ref": "davidandressanchez/date-and-time-manipulation-ii", "kernel_id": "50690207"}, {"ref": "alisapetrova/store-sales-pytorch-bilstm", "kernel_id": "50216997"}, {"ref": "aaryanduggal/fork-of-store-sales-time-series-forecasting", "kernel_id": "50811371"}, {"ref": "dp1500/sales-forecasting-using-exponential-smoothing", "kernel_id": "50647875"}, {"ref": "mahendra301/time-series-sales-analysis-practice-multi-i-p", "kernel_id": "50608688"}, {"ref": "thatasianguy/notebook179e95a84b", "kernel_id": "50624362"}, {"ref": "akmalfauzi/comprehensive-sales-eda", "kernel_id": "50844062"}, {"ref": "akmalfauzi/time-series-forecasting-sales", "kernel_id": "50844485"}, {"ref": "junhwan26/merge-dataset", "kernel_id": "50312777"}, {"ref": "carloseduardorm/store-sales", "kernel_id": "50865061"}, {"ref": "salah555/store-sales-time-series-forecasting", "kernel_id": "50380499"}, {"ref": "hishamsharaf/hybrid-model-for-store-sales-time-series", "kernel_id": "50878077"}, {"ref": "jasonyu001/store-sales-forecasting-regression-random-forest", "kernel_id": "50842231"}, {"ref": "axeldasilva/openclassrooms-axel-work-in-progress", "kernel_id": "50255355"}, {"ref": "nadaahassan/sales-time-series-predictions", "kernel_id": "50262675"}, {"ref": "vanpatangan/sales-forecasting-stack-lgbm", "kernel_id": "50645752"}, {"ref": "hardikgarg03/store-sales", "kernel_id": "50274828"}, {"ref": "aysegulsezen/notebooke3f5f44cac", "kernel_id": "50980501"}, {"ref": "jacobshaheen/store-sales-time-series-forecast-comp-v3", "kernel_id": "50677406"}, {"ref": "shivambhardwaj6969/store-sales-time-series", "kernel_id": "50751406"}, {"ref": "mhdnoureddinbassl/store-sales-forecasting", "kernel_id": "50645965"}, {"ref": "sivarajsingh/sales-forecasting-prediction", "kernel_id": "50487731"}, {"ref": "srinjoy3222/time-series-analysis-for-sales-price-prediction", "kernel_id": "50476121"}, {"ref": "gunjan2509/store-sales-prediction", "kernel_id": "50737870"}, {"ref": "gamablobyt/store-sales-linear-regression", "kernel_id": "50786609"}, {"ref": "mrsimple07/store-sales-0-58", "kernel_id": "50735967"}, {"ref": "tamalkoley/store-sales-prediction", "kernel_id": "50854556"}, {"ref": "jasleen234/notebook821cc2cd87", "kernel_id": "50953418"}, {"ref": "luanierr/store-sales", "kernel_id": "50561696"}, {"ref": "ashwinibandal/exercise-linear-regression-with-time-series", "kernel_id": "50449916"}, {"ref": "badass2/my-real-store-sales", "kernel_id": "50984621"}, {"ref": "badass2/store-sales-time-series-forecasting-random-forest", "kernel_id": "50984302"}, {"ref": "pixeldoggo/store-predictions", "kernel_id": "50286071"}, {"ref": "cheshtbiala/store-sales-time-series-forecasting", "kernel_id": "50113514"}, {"ref": "sumitkumarsingh22002/store-sales-time-series", "kernel_id": "50577307"}, {"ref": "tarndeepsingh16/store-sales-time-series-forecasting", "kernel_id": "50696966"}, {"ref": "shauryachichra5/store-sales-time-series-forecasting", "kernel_id": "50825338"}, {"ref": "huseyinsezen/sale-forecasting", "kernel_id": "50507590"}, {"ref": "fatimayousaf1109/lstm-sales-forecasting", "kernel_id": "50207627"}, {"ref": "mostafa979/ensemble-model-for-store-sales-competition", "kernel_id": "51933166"}, {"ref": "sevdatrumanidze/exercise-linear-regression-with-time-series", "kernel_id": "51676577"}, {"ref": "ameyck/store", "kernel_id": "51028834"}, {"ref": "juanmartinezv4399/forecasting-store-sales-with-temporian-and-xgboost", "kernel_id": "51837672"}, {"ref": "kepler296b/time-series", "kernel_id": "51087307"}, {"ref": "manishpatil009/store-sales-using-random-forest-regressor", "kernel_id": "51621702"}, {"ref": "erentorlak/darts-lgbm-ready-to-go", "kernel_id": "51511241"}, {"ref": "dilshvn/grp15", "kernel_id": "51923558"}, {"ref": "aysegulsezen/timeseriesml", "kernel_id": "51967022"}, {"ref": "satvshr/deep-feature-engineering-lr-xgb", "kernel_id": "51028490"}, {"ref": "akshita0560/store-sales", "kernel_id": "51454685"}, {"ref": "chiragmohangupta/store-sales-time-series-forecasting", "kernel_id": "51025964"}, {"ref": "adends/store-sales-forecasting-competition", "kernel_id": "51739602"}, {"ref": "neelakshigupta/store-sales-time-series-forecasting", "kernel_id": "51455304"}, {"ref": "shwetakk/store-sales-time-series-forecasting", "kernel_id": "51077860"}, {"ref": "ashmeet02/notebook28af1d6d8b", "kernel_id": "51082384"}, {"ref": "ashmeet02/notebookd162110f46", "kernel_id": "51080553"}, {"ref": "kanishhkaa/storessales-forecasting", "kernel_id": "51926652"}, {"ref": "buluttok/mlstore-sales-forecasting", "kernel_id": "51664551"}, {"ref": "krishnavamsi09096/store-sales", "kernel_id": "51714342"}, {"ref": "bhavyagoyal867/store-sales-time-series-forecasting", "kernel_id": "51932839"}, {"ref": "eakanshagarwal24/store-sales-timeseries", "kernel_id": "51159447"}, {"ref": "namishjindal4/store-sales-time-series-forecasting", "kernel_id": "51204791"}, {"ref": "nishthakumari20/store-sales-time-series-forecasting", "kernel_id": "51269813"}, {"ref": "ananyagupta184/store-sales-time-series-forecasting", "kernel_id": "51927290"}, {"ref": "spnico/nickwilliams-storesales", "kernel_id": "51485941"}, {"ref": "lemuz90/mlforecast-favorita", "kernel_id": "52113241"}, {"ref": "youssefsameh/store-sales-predictions-2024-new", "kernel_id": "52434770"}, {"ref": "bunny11/store-sales-forecasting-by-gurpreetsingh", "kernel_id": "52030368"}, {"ref": "kscoder77/favorita-ml-analysis-lr-xgb", "kernel_id": "52584246"}, {"ref": "etibarvazirov/sales-prediction-of-each-product", "kernel_id": "52558873"}, {"ref": "abdelrhmant/store-sales-time-series-forecasting", "kernel_id": "52925235"}, {"ref": "shkim03/storesales", "kernel_id": "52616955"}, {"ref": "danielphys/1-exercise-linear-regression-with-time-series", "kernel_id": "52608567"}, {"ref": "kitibhum/predict-store-sales", "kernel_id": "52978198"}, {"ref": "uta77400/store-sales-forecast-competition-hybrid-model", "kernel_id": "52174971"}, {"ref": "ikromjonovhojiakbar/time-series-store-sales", "kernel_id": "52184100"}, {"ref": "sonhoangvu/calendar-seasonality-multioutput", "kernel_id": "52250760"}, {"ref": "sonhoangvu/lstm-multioutput-time-series", "kernel_id": "52314895"}, {"ref": "thilinawilliams/store-sales-time-series-forecasting-new", "kernel_id": "52509172"}, {"ref": "alihassan779339/store-sales-time-series-forecasting-predication", "kernel_id": "52712379"}, {"ref": "merwynbarbosa/store-sales-time-series-forecasting", "kernel_id": "52062556"}, {"ref": "msbacha/exercise-linear-regression-with-time-series", "kernel_id": "52023828"}, {"ref": "alisheikh0231/storesalestf", "kernel_id": "52813235"}, {"ref": "arnrob/store-sales-triple-exponential-smoothing", "kernel_id": "53860694"}, {"ref": "joachimrives/time-series-grocery-sales-forecast", "kernel_id": "53047027"}, {"ref": "alexborsin/explore-time-series-with-eggs", "kernel_id": "53391609"}, {"ref": "sunnybeta/store-sales-analysis", "kernel_id": "53134988"}, {"ref": "varunraskar/store-sales-eda", "kernel_id": "53522399"}, {"ref": "parthasarathyram97/m5-competition-darts-model", "kernel_id": "53549382"}, {"ref": "riddhimanghatak/time-series-analysis", "kernel_id": "53343708"}, {"ref": "giakhnhnguyn/store-sales-time-series-eda-fe-3-models", "kernel_id": "53978154"}, {"ref": "gururajhalemani/store-sales", "kernel_id": "53893432"}, {"ref": "devahuja2808/store-sales-time-series-forecasting", "kernel_id": "53398758"}, {"ref": "anadyasahai/store-sales-anadya", "kernel_id": "53792764"}, {"ref": "danielphys/2-exercise-trend", "kernel_id": "53422864"}, {"ref": "danielphys/6-exercise-forecasting-with-machine-learning", "kernel_id": "53635057"}, {"ref": "danielphys/5-exercise-hybrid-models", "kernel_id": "53634208"}, {"ref": "danielphys/4-exercise-time-series-as-features", "kernel_id": "53633683"}, {"ref": "danielphys/3-exercise-seasonality", "kernel_id": "53518180"}, {"ref": "buluttok/current-mlstore-sales", "kernel_id": "53530296"}, {"ref": "adarsh0063/notebook90e0a043b4", "kernel_id": "53092959"}, {"ref": "anastasiayurkina/task3", "kernel_id": "53725758"}, {"ref": "jacopoferretti/favorita-stores-grocery-sales-time-series", "kernel_id": "53398509"}, {"ref": "amisha0528/store-sales-time-series-data-prediction", "kernel_id": "53399056"}, {"ref": "aaronfriasr/store-sales-time-series-forecasting", "kernel_id": "53661310"}, {"ref": "tylerblack117/mlstore-sales-forecasting", "kernel_id": "53351560"}, {"ref": "aishamazhar/exercise-forecasting-with-machine-learning", "kernel_id": "53569611"}, {"ref": "aishamazhar/exercise-time-series-as-features", "kernel_id": "53567337"}, {"ref": "aishamazhar/exercise-hybrid-models", "kernel_id": "53567661"}, {"ref": "aishamazhar/exercise-linear-regression-with-time-series", "kernel_id": "53566513"}, {"ref": "aishamazhar/exercise-trend", "kernel_id": "53566822"}, {"ref": "aishamazhar/exercise-seasonality", "kernel_id": "53567034"}, {"ref": "merwynbarbosa/store-sales-time-series", "kernel_id": "53041854"}, {"ref": "ypark4857/introduction-of-ar-p-model-with-oil-price-data", "kernel_id": "54305238"}, {"ref": "nakkaggle/store-sales-ts-forecasting-public", "kernel_id": "54493658"}, {"ref": "sajjadbalgheh/store-sales-timeseries-forecasting-with-xgboost", "kernel_id": "54258992"}, {"ref": "nikkiperry/time-series-forecasting-with-xgboost", "kernel_id": "54377789"}, {"ref": "aryankalia17/store-sales-time-series-forecasting", "kernel_id": "54206414"}, {"ref": "nigeltanyong/exercise-trend", "kernel_id": "54651183"}, {"ref": "nigeltanyong/exercise-linear-regression-with-time-series", "kernel_id": "54650392"}, {"ref": "nigeltanyong/exercise-seasonality", "kernel_id": "54654720"}, {"ref": "nigeltanyong/exercise-time-series-as-features", "kernel_id": "54656482"}, {"ref": "nigeltanyong/exercise-forecasting-with-machine-learning", "kernel_id": "54659550"}, {"ref": "nigeltanyong/exercise-hybrid-models", "kernel_id": "54657384"}, {"ref": "sevendev/sales-forecasting-with-lstm", "kernel_id": "54275409"}, {"ref": "quocbao04/time-series-notebook", "kernel_id": "54575944"}, {"ref": "shadesh/darts-time-series-made-easy-in-python", "kernel_id": "54295214"}, {"ref": "amanaayush/time-series", "kernel_id": "54304058"}, {"ref": "audreywarrene/new-audreywarrene-store-sales-competition", "kernel_id": "54701863"}, {"ref": "santoshbikkina/time-series-new", "kernel_id": "54351699"}, {"ref": "krishnavamsi09096/time-series-krishna", "kernel_id": "54744039"}, {"ref": "amiteshsharma667/notebookb809e0fb6a", "kernel_id": "54583395"}, {"ref": "dubeyarpit/store-sales-time-series-forecasting", "kernel_id": "54260887"}, {"ref": "tylerblack117/current-mlstore-sales", "kernel_id": "54455319"}, {"ref": "samanvaysiddharth/storesales101", "kernel_id": "54259425"}, {"ref": "arsteni/forecasting-solution-notebook", "kernel_id": "54231864"}, {"ref": "an1ndya/exercise-linear-regression-with-time-series", "kernel_id": "55045163"}, {"ref": "an1ndya/exercise-trend", "kernel_id": "55099376"}, {"ref": "marikali/store-sales-forecast-using-prophet", "kernel_id": "55200328"}, {"ref": "komangryandhi/ets-psd-store-sales-forecasting", "kernel_id": "55970478"}, {"ref": "aondofaalfred/store-sales-forcasting", "kernel_id": "55621618"}, {"ref": "nguyenthituyetmaivn/dsp305-ridge-random-forest", "kernel_id": "55432465"}, {"ref": "fiftythirtyfour/store-sales-random-forest-0-67", "kernel_id": "55313666"}, {"ref": "christianlippai/store-sales-forecasting-a-guide-to-ml", "kernel_id": "55737334"}, {"ref": "danielgurwindas/store-sales", "kernel_id": "55668137"}, {"ref": "akoirala111/using-regression", "kernel_id": "55903627"}, {"ref": "cyberdeeplearning/price-predic-rf-dt-and-linear-regression", "kernel_id": "55913912"}, {"ref": "mohamedyoussefsabry/exercise-time-series-as-features", "kernel_id": "55624922"}, {"ref": "kuberiitb/non-ml-prediction-0-71-error-rate", "kernel_id": "56981582"}, {"ref": "aeramirez91/store-sales-linearregression-v2", "kernel_id": "56563885"}, {"ref": "xyznihal/store-sales-forecasting-rf-for-the-multi-output", "kernel_id": "56391366"}, {"ref": "anapedralpez/time-series-forecasting-with-xgbregressor", "kernel_id": "56654764"}, {"ref": "komangryandhi/cek-ets", "kernel_id": "56682761"}, {"ref": "gkhanelbistan/exercise-trend", "kernel_id": "56072584"}, {"ref": "moazzamali0216/store-series-forecasting", "kernel_id": "56404533"}, {"ref": "cardata/time-series-forecasting-stores", "kernel_id": "56820482"}, {"ref": "cardata/ts-stores-sale-forecasting", "kernel_id": "56823920"}, {"ref": "myangeln/time-series-forecasting-with-xgboost-dmatrix", "kernel_id": "56654483"}, {"ref": "tibanrazvan/final-code-sales-forecasting", "kernel_id": "56892422"}, {"ref": "zacharymcollins/exercise-seasonality", "kernel_id": "56792136"}, {"ref": "zacharymcollins/exercise-trend", "kernel_id": "56789793"}, {"ref": "zacharymcollins/exercise-linear-regression-with-time-series", "kernel_id": "56788581"}, {"ref": "harisrab/ecuador-store-sales-global-forecasting-lightgbm", "kernel_id": "56503104"}, {"ref": "sgkhatri1997/exercise-seasonality", "kernel_id": "57246768"}, {"ref": "mahmoudzidan/timeseries-competition", "kernel_id": "57955026"}, {"ref": "umravsinghshekhawat/hybrid-model", "kernel_id": "57162974"}, {"ref": "nagwaahmed/sales-forecasting-using-prophet-xgboost", "kernel_id": "57954857"}, {"ref": "renadahmed/time-series", "kernel_id": "57954828"}, {"ref": "nguynnc/my-project", "kernel_id": "57894303"}, {"ref": "danttis/store-sales-simple-average-2016", "kernel_id": "57448720"}, {"ref": "danttis/store-sales-ets-series-2016", "kernel_id": "57257135"}, {"ref": "anujithk37/exercise-time-series-as-features", "kernel_id": "57222332"}, {"ref": "anujithk37/exercise-hybrid-models", "kernel_id": "57233292"}, {"ref": "anujithk37/exercise-forecasting-with-machine-learning", "kernel_id": "57233753"}, {"ref": "anujithk37/exercise-seasonality", "kernel_id": "57221361"}, {"ref": "anujithk37/exercise-trend", "kernel_id": "57221065"}, {"ref": "anujithk37/exercise-linear-regression-with-time-series", "kernel_id": "57220726"}, {"ref": "cardata/exercise-linear-regression-with-time-series", "kernel_id": "57876150"}, {"ref": "dantaslucas/store-sales-lucas-m-ximo-dantas", "kernel_id": "58227824"}, {"ref": "saurav9786/autogluon-time-series-single-baseline-model", "kernel_id": "58370512"}, {"ref": "eduardogds/time-series-forecasting", "kernel_id": "58676516"}, {"ref": "deeguy/prophet-store-sales-forecasting", "kernel_id": "58049308"}, {"ref": "collindavies/top-25-on-lb-eda-feat-eng-hybrid-model", "kernel_id": "58527008"}, {"ref": "muhammetipil/time-series-forecasting-with-prophet", "kernel_id": "58517136"}, {"ref": "jiayutang/exercise-hybrid-models", "kernel_id": "58024957"}, {"ref": "pedrosiqueira1/notebook236996c4da", "kernel_id": "58529884"}, {"ref": "jpmartinsf/notebook045d636384", "kernel_id": "58757998"}, {"ref": "leonardoemerson/store-sales-time-series-forecasting", "kernel_id": "58607273"}, {"ref": "adrienriaux/time-series-forecasting-with-lightgbm", "kernel_id": "58571006"}, {"ref": "tanvircr7/nks-store-sales", "kernel_id": "58543248"}, {"ref": "terenpa/store-sales-time-series", "kernel_id": "58892348"}, {"ref": "rayssaeng/data-mining-second-assignment-rayssa", "kernel_id": "58616512"}, {"ref": "joopaulopedrosomaus/notebook839dc701e1", "kernel_id": "58753359"}, {"ref": "taisaevangelista/store-sales-taisa-evangelista", "kernel_id": "58763621"}, {"ref": "chayanroy3/exercise-linear-regression-with-time-series", "kernel_id": "58183556"}, {"ref": "patricktrindade/notebook2", "kernel_id": "58772582"}, {"ref": "eyupatalay/data-mining-favorita-store-trabalho", "kernel_id": "58564863"}, {"ref": "dboradeoliveirasouza/store-sales-time-series-forecasting", "kernel_id": "58312047"}, {"ref": "barabulos/notebookc34e6344db", "kernel_id": "58316623"}, {"ref": "zaheer7736/exercise-seasonality", "kernel_id": "58205034"}, {"ref": "zaheer7736/exercise-trend", "kernel_id": "58175949"}, {"ref": "zaheer7736/exercise-hybrid-models", "kernel_id": "58305209"}, {"ref": "zaheer7736/exercise-forecasting-with-machine-learning", "kernel_id": "58308280"}, {"ref": "agamdwipermana/store-sales", "kernel_id": "58779317"}, {"ref": "pratyushmajumdar770/store-sales-beginner", "kernel_id": "58972366"}, {"ref": "carlosbrito74/store-sales-time-series-forecasting", "kernel_id": "58609160"}, {"ref": "thiagomout/prediction-store-sales-linear-and-xgb", "kernel_id": "58761479"}, {"ref": "rbarbosa98/data-mining-favorita-store-trabalho", "kernel_id": "58134599"}, {"ref": "pedroega/trabalho-2-pedro-elias", "kernel_id": "58764871"}, {"ref": "xiaocc226/product-level-panel-analysis", "kernel_id": "58618966"}, {"ref": "dirgham/store-sales-time-series-forcasting", "kernel_id": "59931631"}, {"ref": "kerynhan/store-sales-time-series-forecasting-clone", "kernel_id": "59129690"}, {"ref": "patthanawut/store-sales-time-series-analysis", "kernel_id": "59649970"}, {"ref": "mrairobot/store-sales-predict", "kernel_id": "59905391"}, {"ref": "mateusfsrg/exercise-hybrid-models", "kernel_id": "59774682"}, {"ref": "mateusfsrg/exercise-seasonality", "kernel_id": "59746657"}, {"ref": "mateusfsrg/exercise-linear-regression-with-time-series", "kernel_id": "59718263"}, {"ref": "mateusfsrg/exercise-trend", "kernel_id": "59734274"}, {"ref": "mateusfsrg/exercise-forecasting-with-machine-learning", "kernel_id": "59880015"}, {"ref": "sergiygavrylov/time-series-sales-forecasting-with-prophet", "kernel_id": "59139819"}, {"ref": "wajedafaneh/comparative-model-analysis-for-store-sales-predict", "kernel_id": "59401415"}, {"ref": "brahimy/store-sales-time-series", "kernel_id": "59065733"}, {"ref": "lewisdo/ts-with-hybridmodel", "kernel_id": "59256126"}, {"ref": "yukari17/20240616", "kernel_id": "60117723"}, {"ref": "xiefei/c7-eda", "kernel_id": "60475912"}, {"ref": "xiefei/c7-model", "kernel_id": "60567071"}, {"ref": "xiefei/c7-feature-engineer", "kernel_id": "60543092"}, {"ref": "alexsandroj/store-sales-time-series-regressions-models", "kernel_id": "60248932"}, {"ref": "csmohamedayman/tsf-numc-store-sales-time-series", "kernel_id": "60645404"}, {"ref": "soyoungpark63/store-sales-time-forecasting", "kernel_id": "60160510"}, {"ref": "gilangsaputra/store-sales-using-xgbregressor", "kernel_id": "60681789"}, {"ref": "pavelfomin/sales-prediction-linear", "kernel_id": "60438703"}, {"ref": "pavelfomin/sales-prediction-lasso", "kernel_id": "60652168"}, {"ref": "pavelfomin/sales-prediction-ridge", "kernel_id": "60627847"}, {"ref": "hishamibrhem/exercise-linear-regression-with-time-series", "kernel_id": "60965887"}, {"ref": "uysalcan/store-sales-ts-forecasting-a-comprehensive-guide", "kernel_id": "60950532"}, {"ref": "adityashrikantchavan/store-sales-forecasting", "kernel_id": "60616207"}, {"ref": "rizwanash/store-sales", "kernel_id": "60457869"}, {"ref": "vishalginni/store-sales", "kernel_id": "60105998"}, {"ref": "yogeshratheea/store-sales-project", "kernel_id": "60496955"}, {"ref": "neuromanxer/prophet-parallelization-time-serie-forecasting", "kernel_id": "60155435"}, {"ref": "annaoliinychenko/lab-7", "kernel_id": "60995308"}, {"ref": "huynhnhuthuyk18hcm/lap3-dap", "kernel_id": "60631650"}, {"ref": "kaniskamitra/exercise-linear-regression-with-time-series", "kernel_id": "60068033"}, {"ref": "stpeteishii/store-sales-prediction-linearregression", "kernel_id": "61417466"}, {"ref": "longtv/store-sales-thi-t-k-b-i-gi-ng", "kernel_id": "61663367"}, {"ref": "marlos11/lab-7", "kernel_id": "61131962"}, {"ref": "mchlabdi/exercise-linear-regression-with-time-series", "kernel_id": "61686734"}, {"ref": "jullykang/bda-ts-tutorial", "kernel_id": "61121227"}, {"ref": "ankandebnath/store-sales-time-series-forecasting", "kernel_id": "61384420"}, {"ref": "iantgcampbell/store-sales-eda", "kernel_id": "61982044"}, {"ref": "chanchal24/big-mart-sale-forecast", "kernel_id": "61608734"}, {"ref": "themajormask/store-sales-time-series-forecasting", "kernel_id": "61358036"}, {"ref": "muhammadfaizan65/store-sales-forecasting-eda-modeling", "kernel_id": "61304166"}, {"ref": "abdelrahmanelfeky987/catboost-for-sales-forecasting", "kernel_id": "61793057"}, {"ref": "yunsuxiaozi/store-sales-transformer", "kernel_id": "61283897"}, {"ref": "saheedoyewole/seasonality", "kernel_id": "61044390"}, {"ref": "saheedoyewole/forecasting-with-machine-learning", "kernel_id": "61066469"}, {"ref": "karticksharmapro/bdm-new-series-data", "kernel_id": "61768627"}, {"ref": "shiokosyouuu/notebookf49382a7cf", "kernel_id": "61584616"}, {"ref": "victortennis/store-sales-timeseries-in-r", "kernel_id": "61751371"}, {"ref": "kandwolf/store-sales-no-2", "kernel_id": "61971567"}, {"ref": "shailadh/eda-time-series", "kernel_id": "61002185"}, {"ref": "dstudy213/store-sales-earlystopping-tuned-lgbm", "kernel_id": "61531545"}, {"ref": "olexiihubar/lab-7", "kernel_id": "61111890"}, {"ref": "middleisstar/bda-0703", "kernel_id": "61175054"}, {"ref": "tomkrger/torch-multiregression-globallstm-storeembedding", "kernel_id": "61501440"}, {"ref": "briandanariznov/grup6-mmt-its", "kernel_id": "61029926"}, {"ref": "cinnamon89/hybrid-model-arima-xgboost", "kernel_id": "61325037"}, {"ref": "wayachan/storesales-wayachan", "kernel_id": "61538990"}, {"ref": "you2rad/store-you2rad", "kernel_id": "61973511"}, {"ref": "kouki0507/630-yosi", "kernel_id": "61224546"}, {"ref": "kouki0507/lstm-2016-4-1-4-30", "kernel_id": "61581964"}, {"ref": "kouki0507/gurahu", "kernel_id": "61882931"}, {"ref": "poitatu/kaggle", "kernel_id": "61581915"}, {"ref": "poitatu/notebook", "kernel_id": "61973533"}, {"ref": "xlitol/what-s-cooking", "kernel_id": "61581696"}, {"ref": "kengouematsu/notebookc3b6d291ef", "kernel_id": "61581735"}, {"ref": "nishimurakazuma/notebookdd17dc6e23", "kernel_id": "61388963"}, {"ref": "ninaiohsaki/notebooka25c974cf9", "kernel_id": "61710442"}, {"ref": "rikamau1010/notebook83c303303e", "kernel_id": "61581738"}, {"ref": "konokakayatani/store-sales", "kernel_id": "61581908"}, {"ref": "thoraisim/store", "kernel_id": "61581576"}, {"ref": "satonaoya/notebookf4df5c5985", "kernel_id": "61420996"}, {"ref": "ja109r/final-code-sales-forecasting", "kernel_id": "61583760"}, {"ref": "ak1solar/ds2024-class9-group1", "kernel_id": "61748998"}, {"ref": "izumikudo/notebookd967cd9cb5", "kernel_id": "61324499"}, {"ref": "henohenomohejl/store-sales-submit", "kernel_id": "61693019"}, {"ref": "henohenomohejl/store-sales", "kernel_id": "61113744"}, {"ref": "bahahahouse/notebook132f2c63f7", "kernel_id": "61661557"}, {"ref": "akdubuntu/storesales", "kernel_id": "61581334"}, {"ref": "zh0v74/notebooka706ef8231", "kernel_id": "61580708"}, {"ref": "onikubnd/notebook7fcd0d06b7", "kernel_id": "61558370"}, {"ref": "minamishuya/store-sales-time-series-forecasting", "kernel_id": "61581912"}, {"ref": "mty3400/store-sales", "kernel_id": "61467056"}, {"ref": "plkpmn/notebookddc511356e", "kernel_id": "61402792"}, {"ref": "koheitumoe/notebookf68f3d0d27", "kernel_id": "61925538"}, {"ref": "kkkplus/notebookf7753834c8", "kernel_id": "61114238"}, {"ref": "tekumaru0223/notebook48058c1686", "kernel_id": "61748124"}, {"ref": "yanasay/notebookc39d7a98ea", "kernel_id": "61582861"}, {"ref": "shun00062700/notebook666532abc", "kernel_id": "61108256"}, {"ref": "mitul1999/linear-regression-in-store-sales-prediction", "kernel_id": "61470251"}, {"ref": "nageukita/notebook4a5231bc77", "kernel_id": "61694550"}, {"ref": "saikou0205/notebook4ca170889b", "kernel_id": "61751613"}, {"ref": "luzhanyu/notebook687b9d79d9", "kernel_id": "61117516"}, {"ref": "luzhanyu/lap3-dap", "kernel_id": "61191780"}, {"ref": "brigittaam/bda-group-2", "kernel_id": "61518469"}, {"ref": "kareemzaghawa/time-series-project", "kernel_id": "62029777"}, {"ref": "danialkusmanov/store-sales-forecasting-arima-xgboost", "kernel_id": "62303115"}, {"ref": "adrienriaux/time-series-forecasting-with-cnn", "kernel_id": "62664052"}, {"ref": "aaditshukla/store-sales-analysis-2024-latest", "kernel_id": "62852771"}, {"ref": "mohammadnouralawad/store-sales-eda-prediction", "kernel_id": "62500819"}, {"ref": "ndohmoise/exercise-linear-regression-with-time-series", "kernel_id": "62784683"}, {"ref": "iantgcampbell/store-sales-modeling", "kernel_id": "62773814"}, {"ref": "linhphm03/store-sales-time-series-prediction", "kernel_id": "62005453"}, {"ref": "andreygulincodim/ecuador-prices-competition", "kernel_id": "62753473"}, {"ref": "abdelazizsami/store-sales-time-series-forecasting", "kernel_id": "62306895"}, {"ref": "domjina/stores-sales-forecasting", "kernel_id": "62721034"}, {"ref": "d4nilz/store-sales-with-sarimax-lgbm", "kernel_id": "62674424"}, {"ref": "rahularora060/sales-time-series-prediction", "kernel_id": "62856131"}, {"ref": "mglllinas/time-series-forecasting-first-attempt", "kernel_id": "62983161"}, {"ref": "alirizaercan/store-sales-time-series-data-science-technique", "kernel_id": "62969641"}, {"ref": "ulasucan/store-sales-competition", "kernel_id": "62487958"}, {"ref": "manintangkunathan/store-sales-time-series-forecasting", "kernel_id": "62736409"}, {"ref": "hjz944936173/notebook7941fe4cab", "kernel_id": "62437943"}, {"ref": "hjz944936173/notebook75ab8fb38e", "kernel_id": "62434196"}, {"ref": "hjz944936173/notebookc61422a83a", "kernel_id": "62794928"}, {"ref": "kouki0507/notebook12aa8c6dbb", "kernel_id": "62789786"}, {"ref": "poitatu/notebookddc3adaa2a", "kernel_id": "62794106"}, {"ref": "hapihapi123/store-sales2", "kernel_id": "62792571"}, {"ref": "hapihapi123/store-sales3", "kernel_id": "62800203"}, {"ref": "c493759/notebook90f78d616d", "kernel_id": "62800629"}, {"ref": "akiyoshiki/notebooka6bf075c4a", "kernel_id": "62192605"}, {"ref": "student0123/notebook6a759354f0", "kernel_id": "62406940"}, {"ref": "student0123/notebook025ae1193e", "kernel_id": "62439734"}, {"ref": "yzk0737/notebook690ec1ae6f", "kernel_id": "62262034"}, {"ref": "kengouematsu/ds24-class9-group1-0719", "kernel_id": "62499313"}, {"ref": "abzu1245/ds24-class9-group1-kume", "kernel_id": "62680286"}, {"ref": "abzu1245/ds24-class9-group1-0719", "kernel_id": "62434685"}, {"ref": "abzu1245/cp2-ds24", "kernel_id": "62391308"}, {"ref": "ganofu/notebook666532abc-99f614", "kernel_id": "62786939"}, {"ref": "toppo505/notebook459c99a16f", "kernel_id": "62762846"}, {"ref": "harukiegawa/notebook45a4e531d0", "kernel_id": "62436479"}, {"ref": "harukiegawa/notebookc61422a83a", "kernel_id": "62437862"}, {"ref": "harukiegawa/deta-science-kadai-eg", "kernel_id": "62803548"}, {"ref": "konokakayatani/store-sales-submit", "kernel_id": "62789165"}, {"ref": "takikotaro/notebook-5-34", "kernel_id": "62802030"}, {"ref": "terryjjt/notebookf49382a7cf-9ab4c7", "kernel_id": "62797182"}, {"ref": "poteto0121/notebook7b2e9ff61b", "kernel_id": "62766302"}, {"ref": "poteto0121/data-science-7", "kernel_id": "62733803"}, {"ref": "z591366230/notebookb4e569c574", "kernel_id": "62802060"}, {"ref": "ja109r/data-science", "kernel_id": "62770936"}, {"ref": "ainz114514/ds2024-class9-group1", "kernel_id": "62764175"}, {"ref": "kk131026/notebookc61422a83a", "kernel_id": "62433821"}, {"ref": "ina8109/notebook0770658439", "kernel_id": "62011099"}, {"ref": "eetum1/notebook13c23677c4", "kernel_id": "62635745"}, {"ref": "tateishi1007/store-sales-test", "kernel_id": "62730399"}, {"ref": "festivalsakurai/notebook459c99a16f", "kernel_id": "62729603"}, {"ref": "festivalsakurai/notebookc21cdc6058", "kernel_id": "62699217"}, {"ref": "gakufujiwara/store-sales-gaku", "kernel_id": "62800984"}, {"ref": "masahiroibaragi/notebook06fc567caa", "kernel_id": "62801783"}, {"ref": "ehime1231/notebook8702f6b2de", "kernel_id": "62738858"}, {"ref": "masakikanazawa/store-sales-test", "kernel_id": "62730265"}, {"ref": "henohenomohejl/notebookedc9fd63beaq", "kernel_id": "62396502"}, {"ref": "katsurahyuga/notebook79c09e079b", "kernel_id": "62435946"}, {"ref": "vrtslfc23/notebook66a8ad78c5", "kernel_id": "62728345"}, {"ref": "andoitsuma/store-sales-no-2-fc2b26", "kernel_id": "62791243"}, {"ref": "bahahahouse/notebook9a6e6bd392", "kernel_id": "62571239"}, {"ref": "jkcty896/notebook88a2c0b12c", "kernel_id": "62785712"}, {"ref": "kenteki/datascience-kadai", "kernel_id": "62796466"}, {"ref": "kenteki/kadai-last", "kernel_id": "62797624"}, {"ref": "trqmvp/notebookttt-trq", "kernel_id": "62758973"}, {"ref": "moa0710/datascience-seiyafujita", "kernel_id": "62802268"}, {"ref": "minamishuya/store-sales-submit", "kernel_id": "62800937"}, {"ref": "ikushma/notebook29f7957d0a", "kernel_id": "62011311"}, {"ref": "ikushma/storesales", "kernel_id": "62792008"}, {"ref": "mizu123/kaggle-kadai", "kernel_id": "62009794"}, {"ref": "genkyouri/notebook7d498f6406", "kernel_id": "62002515"}, {"ref": "genkyouri/notebook79de90eb21", "kernel_id": "62643373"}, {"ref": "xpssss7/notebook666532abc", "kernel_id": "62012037"}, {"ref": "hoshama/store-sales-test", "kernel_id": "62730373"}, {"ref": "kkkplus/kaggle-kadai", "kernel_id": "62802210"}, {"ref": "kkkplus/notebook481cc4bff0", "kernel_id": "62811099"}, {"ref": "charinkorider/notebook459c99a16f", "kernel_id": "62777324"}, {"ref": "charinkorider/notebook663c367afc", "kernel_id": "62864820"}, {"ref": "yukirito/notebookcc6a98036a", "kernel_id": "62801950"}, {"ref": "yuyuchch/storesales", "kernel_id": "62709623"}, {"ref": "yutonagao/store-sales-test", "kernel_id": "62730086"}, {"ref": "nageukita/notebook93418162fd", "kernel_id": "62735721"}, {"ref": "aiueo300/store-sales-no-2-6ebef8", "kernel_id": "62801423"}, {"ref": "kibata/datascience-kadai", "kernel_id": "62436350"}, {"ref": "kibata/kaggle-kadai-kibata", "kernel_id": "62788709"}, {"ref": "c612432061/notebook51b62dc9f7", "kernel_id": "62766004"}, {"ref": "ftakumi/notebook666532abc", "kernel_id": "62011985"}, {"ref": "sakanairoha/notebook666532abc", "kernel_id": "62011990"}, {"ref": "sakanairoha/notebookb66271620c", "kernel_id": "62800821"}, {"ref": "kasugatakumi/notebookac486e33c4", "kernel_id": "62804809"}, {"ref": "saikou0205/notebook5b21607baf", "kernel_id": "62737551"}, {"ref": "gkawamura/notebookf49382a7cf", "kernel_id": "62797186"}, {"ref": "masa1011/notebook459c99a16f-aa9678", "kernel_id": "62805575"}, {"ref": "bshogo/notebook48703e0083", "kernel_id": "62802540"}, {"ref": "arthurdechechi/stores-analysis", "kernel_id": "62618876"}, {"ref": "arthurdechechi/an-lises-vendas-no-equador", "kernel_id": "62494358"}, {"ref": "ernesto/notebookba8a2e79da", "kernel_id": "63231148"}, {"ref": "abulhawa/exercise-seasonality", "kernel_id": "63247128"}, {"ref": "wajahat1064/store-sales-prediction-blended-model", "kernel_id": "63532658"}, {"ref": "jonit1996knr/store-sales-prediction-arima-model", "kernel_id": "63575952"}, {"ref": "mohantyd/store-sales-prediction-blended-model", "kernel_id": "63563644"}, {"ref": "sharmoul/fork-of-dataquest-challenge-1-first-place-solution", "kernel_id": "63561392"}, {"ref": "ismetsemedov/store-sales-time-series-forecasting", "kernel_id": "63082507"}, {"ref": "rlakshminarayanan/beginner-s-guide-store-sales-prediction", "kernel_id": "63861610"}, {"ref": "marcowong123/store-sales-arima", "kernel_id": "63510125"}, {"ref": "nohamhmd/exercise-linear-regression-with-time-series", "kernel_id": "63155417"}, {"ref": "draganpinsent98/rnn-for-store-sales-prediction", "kernel_id": "63245987"}, {"ref": "shriyaranjith/sales-prediction", "kernel_id": "63389258"}, {"ref": "mrokind/exercise-seasonality", "kernel_id": "63831397"}, {"ref": "mrokind/exercise-linear-regression-with-time-series", "kernel_id": "63460744"}, {"ref": "harigoshika/time-series-forecasting-of-grocery-sale", "kernel_id": "63849119"}, {"ref": "ouside/simplified-xgboost-model-top-of-17-store-sales", "kernel_id": "63213367"}, {"ref": "stpeteishii/ethereum-prophet", "kernel_id": "64928750"}, {"ref": "ezzaddeenmofarreh/store-sales-forecasting-learning", "kernel_id": "64599775"}, {"ref": "quangnguynngnht/xgboost-time-series-forecasting-for-grocery-sales", "kernel_id": "64220311"}, {"ref": "abdellahmaghous/store-sales-eda", "kernel_id": "64357846"}, {"ref": "dhtomha/0828-store-sales-eda", "kernel_id": "64770586"}, {"ref": "dhtomha/0901-store-sales-eda", "kernel_id": "64893577"}, {"ref": "rlal16193/effectiveness-of-ml-models-predicting-store-sales", "kernel_id": "64905198"}, {"ref": "emad3li/exercise-linear-regression-with-time-series", "kernel_id": "64679230"}, {"ref": "hasanbasriuzun/seaborn-basic-plot", "kernel_id": "64385845"}, {"ref": "kimutaionesmus/store-sales-prediction", "kernel_id": "64810382"}, {"ref": "haithemmajoul/notebook9ff0d6924b", "kernel_id": "64967818"}, {"ref": "patsont/store-sales", "kernel_id": "64854362"}, {"ref": "pamalkrmondal/store-sales-predictionn", "kernel_id": "64334391"}, {"ref": "kamilakussainova/supermarket-sales-eda-visualizations", "kernel_id": "64969137"}, {"ref": "muslump/store-sales-time-series-forecasting", "kernel_id": "65774404"}, {"ref": "kavithachetanadidugu/sales-prediction", "kernel_id": "65817222"}, {"ref": "javagarm/sale-prediction-v3-4", "kernel_id": "65332225"}, {"ref": "alexborsin/store-sales-eda-with-explanations", "kernel_id": "65080067"}, {"ref": "jiryanfarokhi/gpbl-sit-japan", "kernel_id": "65463481"}, {"ref": "ikhsanrabbani/gpbl-store-sales-forecasting-team-6", "kernel_id": "65157053"}, {"ref": "ikhsanrabbani/store-sales-lgbm-train-data", "kernel_id": "65466655"}, {"ref": "ikhsanrabbani/store-sales-lgbm-with-selection-features", "kernel_id": "65362447"}, {"ref": "dhtomha/0920-ss-subtask-arima-submission", "kernel_id": "65734131"}, {"ref": "dhtomha/0911-ss-subtask-missing-value-insight", "kernel_id": "65576883"}, {"ref": "renatali/the-simplest-solution-with-chronos", "kernel_id": "65218606"}, {"ref": "abineyanravichandran/new-v", "kernel_id": "65683411"}, {"ref": "houssambouchouk/exercise-linear-regression-with-time-series", "kernel_id": "65953533"}, {"ref": "pamalkrmondal/store-sales-using-h2oautoml", "kernel_id": "65944525"}, {"ref": "trietp1253201581/store-sales-time-series-forecasting", "kernel_id": "65294224"}, {"ref": "anishvijay/store-sales-time-series-forecasting", "kernel_id": "65086256"}, {"ref": "kalaivani1910/exercise-seasonality", "kernel_id": "65173733"}, {"ref": "ryoshibazaki/gpbl-store-sales-forecasting-team-6", "kernel_id": "65200699"}, {"ref": "ishiyamaryota/day4-gpbl", "kernel_id": "65264197"}, {"ref": "tnptnw/notebook2a2545ba5d", "kernel_id": "65932801"}, {"ref": "priteshhhh/store-sales", "kernel_id": "66667292"}, {"ref": "ppanicali/divideandconquer", "kernel_id": "66876600"}, {"ref": "karimabdelhalim/store-sales-time-series-forecasting", "kernel_id": "66091448"}, {"ref": "angellapark/pytorchpjt-240925-xgboost", "kernel_id": "66496137"}, {"ref": "angellapark/pytorchpjt-240921-1-xgboost-teampreprocessing", "kernel_id": "66204740"}, {"ref": "angellapark/pytorchpjt-240921", "kernel_id": "66376403"}, {"ref": "anastasialaschishina/fork-of-store-sales", "kernel_id": "66369527"}, {"ref": "antonpopenko/exercise-forecasting-with-machine-learning", "kernel_id": "66435437"}, {"ref": "abdulaminafridi/exercise-linear-regression-with-time-series", "kernel_id": "66773422"}, {"ref": "abdulaminafridi/exercise-hybrid-models", "kernel_id": "66828877"}, {"ref": "abdulaminafridi/exercise-trend", "kernel_id": "66798202"}, {"ref": "abdulaminafridi/exercise-seasonality", "kernel_id": "66799654"}, {"ref": "dhtomha/0925-catboost-2nd-iter", "kernel_id": "66359531"}, {"ref": "dhtomha/lstm-attempt", "kernel_id": "66710325"}, {"ref": "naylinhtun/data-ninja-ds-phase-1-visualization", "kernel_id": "66461060"}, {"ref": "yousofnanis/my-store-sales-notebook", "kernel_id": "66759717"}, {"ref": "tusharshelke71/sales-forecasting-using-boosted-trees", "kernel_id": "66597191"}, {"ref": "walidkw/store-sales-ts-forecasting-xgboost", "kernel_id": "66506568"}, {"ref": "felipeliskepandando/re-store-sales-beedata", "kernel_id": "66478547"}, {"ref": "sriyavadlamudy/submission-final", "kernel_id": "66942411"}, {"ref": "tinsuabdeta/store-sales-time-series-forecasting-tinsae", "kernel_id": "66842325"}, {"ref": "localoume/ts-forcasting-kmt", "kernel_id": "66485506"}, {"ref": "pasindu210574a/notebook-1", "kernel_id": "66424734"}, {"ref": "kenkyng0912/store-sales-seasonal-time-series-forecasting", "kernel_id": "66037891"}, {"ref": "bigsmallmediumpotato/time-series-analysis-store-sales", "kernel_id": "66345033"}, {"ref": "rianferian/time-series", "kernel_id": "67406690"}, {"ref": "estercifuentesquiles/store-sales-deterministic-model", "kernel_id": "67903725"}, {"ref": "estercifuentesquiles/store-sales-time-series-deep-learning-using-darts", "kernel_id": "67922263"}, {"ref": "bikramjeetsinghbedi/store-sales-begginer-to-kaggle", "kernel_id": "67797982"}, {"ref": "richardhhong/understanding-moving-average-time-series-analysis", "kernel_id": "67180241"}, {"ref": "aravchadda/optical-transformers", "kernel_id": "67301917"}, {"ref": "ghimirerajan/8-rghimire-store-sales-time-series-forecasting", "kernel_id": "67954773"}, {"ref": "raja1011/submission-final", "kernel_id": "67027366"}, {"ref": "manavgargasu/dm-checkpoint-2", "kernel_id": "67017771"}, {"ref": "brookeallred/store-sales-competition-kbb", "kernel_id": "67177252"}, {"ref": "shuthdar/naive-forecasting-with-sarima", "kernel_id": "68859164"}, {"ref": "vishwasmishra1234/notebook11eec18668", "kernel_id": "68919743"}, {"ref": "omarsahwan/lstm-model", "kernel_id": "68016346"}, {"ref": "beasttitan/store-sales-forecasting-eda-xgboost-modeling", "kernel_id": "68917572"}, {"ref": "muhammadirfansajid/store-sales-analysis-project", "kernel_id": "68533559"}, {"ref": "zoiakiian/0-97-with-linear-regressions-on-1-factor", "kernel_id": "68913937"}, {"ref": "salmarashwan/ecuador-sales-forecasting-with-catboost", "kernel_id": "68089240"}, {"ref": "muhammadrusdi22/kelompok-7-pempro", "kernel_id": "68002872"}, {"ref": "naciminch/store-sales-xgboost", "kernel_id": "68883086"}, {"ref": "jhenke/exercise-seasonality", "kernel_id": "68211395"}, {"ref": "sakshi62/exercise-linear-regression-with-time-series", "kernel_id": "68994566"}, {"ref": "raitest/sales-time-series-forecasting-eda-xgbr", "kernel_id": "69933586"}, {"ref": "bestcnx/sales-forecast-xgboost-one-vs-multiple-models", "kernel_id": "69122930"}, {"ref": "apolynomialcurve/store-sales-forecasting-xgboost-with-rmsle-0-375", "kernel_id": "69879817"}, {"ref": "naylinhtun/data-ninja-phase-2", "kernel_id": "69253899"}, {"ref": "rathodkiranmai/store-sales-time-series-forecasting", "kernel_id": "69660844"}, {"ref": "adhiraj21/stores-sales-using-xgboost", "kernel_id": "69256744"}, {"ref": "hafidzarshakabira/store-sales-ipynb", "kernel_id": "69846164"}, {"ref": "zakariashaik/notebookc7537298ec", "kernel_id": "69341065"}, {"ref": "anurag0047/sale-store", "kernel_id": "69577769"}, {"ref": "anurag0047/notebook15", "kernel_id": "69556334"}, {"ref": "nmsonje/store-sales-kaggle", "kernel_id": "69181011"}, {"ref": "nadeemkaggle123/store-sales-time-series-forecasting", "kernel_id": "69322932"}, {"ref": "smfahadfahad/store-sales-xgboost", "kernel_id": "69009114"}, {"ref": "rookiejcy/store-item-demand-forecasting-challenge-deepar", "kernel_id": "69218054"}, {"ref": "zoiakiian/score-0-5-with-no-models", "kernel_id": "69413786"}, {"ref": "apommm/store-sale-round2", "kernel_id": "69432617"}, {"ref": "reciclador/sales-time-forecasting", "kernel_id": "69467723"}, {"ref": "pisitsrimoaon/machine-learning-bd2b08", "kernel_id": "69815852"}, {"ref": "vikassharma107/notebook35a9cdb216", "kernel_id": "69529849"}, {"ref": "vivekkumarietstudent/viveknotebook", "kernel_id": "69576217"}, {"ref": "kunalsinghh941/notebookee484bc505", "kernel_id": "69589428"}, {"ref": "pujanrijal/linear-regression-with-time-series", "kernel_id": "70045562"}, {"ref": "pujanrijal/exercise-trend", "kernel_id": "70504978"}, {"ref": "kayamsaikrishna/time-series", "kernel_id": "70025421"}, {"ref": "hejuncheung/store-sales-analysis-transformer", "kernel_id": "70691302"}, {"ref": "tristanberuard/compet-store-sales-tristan", "kernel_id": "70177903"}, {"ref": "lhy112233/ss-t01", "kernel_id": "70878494"}, {"ref": "aslemimolu/store-sales-time-series-forecasting", "kernel_id": "70878801"}, {"ref": "uom24mlmsc248237k/storesalesuomdatamining", "kernel_id": "70604197"}, {"ref": "kararichardson/store-sales-time-forecasting-kr", "kernel_id": "70912902"}, {"ref": "yarroh/exercise-seasonality", "kernel_id": "70141504"}, {"ref": "yarroh/exercise-time-series-as-features", "kernel_id": "70141786"}, {"ref": "yarroh/exercise-hybrid-models", "kernel_id": "70141921"}, {"ref": "yarroh/exercise-forecasting-with-machine-learning", "kernel_id": "70142187"}, {"ref": "moridata/store-sales-time-series-forecasting-0-46641", "kernel_id": "70674052"}, {"ref": "akioyamazaki/store-sales-time-series-forecasting-with-lightgbm", "kernel_id": "70034633"}, {"ref": "brunorosadomonagas/store-sales-11-14-24", "kernel_id": "70742845"}, {"ref": "pisitsrimoaon/kaggle-please", "kernel_id": "70042335"}, {"ref": "franjefriten3141592/analysis-sales-favorita-ecuador", "kernel_id": "70981035"}, {"ref": "rajivgangadharan/exercise-linear-regression-with-time-series", "kernel_id": "71023802"}, {"ref": "rajivgangadharan/exercise-time-series-as-features", "kernel_id": "71922800"}, {"ref": "apoorvjha63/model-iterations-store-sales", "kernel_id": "71664250"}, {"ref": "naylinhtun/data-ninja-final-round", "kernel_id": "71256796"}, {"ref": "nafras/notebook8519f607bb", "kernel_id": "71156884"}, {"ref": "ezequielalvessoares/exercise-linear-regression-with-time-series", "kernel_id": "71845030"}, {"ref": "margobelikova/exercise-seasonality", "kernel_id": "71333916"}, {"ref": "margobelikova/exercise-trend", "kernel_id": "71331339"}, {"ref": "margobelikova/exercise-time-series-as-features", "kernel_id": "71337728"}, {"ref": "margobelikova/exercise-hybrid-models", "kernel_id": "71338598"}, {"ref": "margobelikova/exercise-forecasting-with-machine-learning", "kernel_id": "71338600"}, {"ref": "margobelikova/exercise-linear-regression-with-time-series", "kernel_id": "71192045"}, {"ref": "aayushiweb/time-series-forecasting", "kernel_id": "71689762"}, {"ref": "iqbalsamsoor/storesalespredictionhybridmodling", "kernel_id": "71295968"}, {"ref": "minzai0116/baseline", "kernel_id": "71697414"}, {"ref": "yussufkadir/sales-forecast", "kernel_id": "71183609"}, {"ref": "mariajosealmeyda/store-sales-prediction-using-time-series", "kernel_id": "71862275"}, {"ref": "uom23mlmsc248221g/group-4", "kernel_id": "71418451"}, {"ref": "mariowisc/sales-forcecast-code-lasso", "kernel_id": "71506971"}, {"ref": "benmetz/exercise-seasonality", "kernel_id": "71515286"}, {"ref": "jasmint/notebookb2694446fc", "kernel_id": "71230137"}, {"ref": "piotrek40941/store-sales-forecasting-with-random-forest", "kernel_id": "71632344"}, {"ref": "kparthiban007/time-series-analysis", "kernel_id": "71841442"}, {"ref": "allansoaresduarte/time-series-randomforest-prediction", "kernel_id": "71174893"}, {"ref": "adriancalderon/time-series-sales-forecast", "kernel_id": "71642024"}, {"ref": "fiialosofiia/store-sales-time-series-forecasting", "kernel_id": "71217256"}, {"ref": "namanzelawat/sales-prediction-time-series-forecast", "kernel_id": "72695650"}, {"ref": "jashbhatia07/store-sales-prediction", "kernel_id": "72753757"}, {"ref": "sonexis7/exercise-seasonality", "kernel_id": "72656972"}, {"ref": "songjinhua/ss-t01-a7f243", "kernel_id": "72801778"}, {"ref": "arlis0627/exercise-linear-regression-with-time-series", "kernel_id": "72847457"}, {"ref": "kakiprasanna/time-series-forecast-lightgbm-model", "kernel_id": "72885709"}, {"ref": "hoang6494/sales-forecast-prediction-zx", "kernel_id": "72370899"}, {"ref": "hoang6494/time-series-store", "kernel_id": "72492307"}, {"ref": "houssambouchouk/exercise-trend", "kernel_id": "72495936"}, {"ref": "houssambouchouk/exercise-seasonality", "kernel_id": "72629010"}, {"ref": "andreas08/grocery-sales-randomforestregressor", "kernel_id": "72091595"}, {"ref": "amnamahboob123/amna-mahboob-231997-store-sales-time-series", "kernel_id": "72169703"}, {"ref": "dngviethuy/step-by-step-from-eda-to-submission-with-lgbmr", "kernel_id": "72398831"}, {"ref": "olexii123/store-sales", "kernel_id": "72244511"}, {"ref": "apanferov85/grocery-sales-forecasting", "kernel_id": "72508379"}, {"ref": "jiya098/store-sales-prediction-data-analysis-and-forecast", "kernel_id": "72272752"}, {"ref": "hanhaoyou/store-sales-ipynb", "kernel_id": "72081090"}, {"ref": "kevinsmith94624/time-series-forecasting", "kernel_id": "72561077"}, {"ref": "sicheng1806/ml-sicheng-test-in-kaggle", "kernel_id": "72921555"}, {"ref": "mohanrachumallu/autogloun-dec6-version-2", "kernel_id": "73808059"}, {"ref": "alisapetrova/rnn-time-series", "kernel_id": "73325566"}, {"ref": "sahithiampolu/autogloun-dec6-version-2", "kernel_id": "73251219"}, {"ref": "codechick/comp-1-store-sales-forecasting", "kernel_id": "73354555"}, {"ref": "yashkc2025/store-sales-time-series-forecasting", "kernel_id": "73058477"}, {"ref": "ezequielalvessoares/exercise-trend", "kernel_id": "73267056"}, {"ref": "abdulrahmaneltahan/neural-model", "kernel_id": "73165269"}, {"ref": "pnpluto/time-series-forecast-with-lstm-model", "kernel_id": "73784345"}, {"ref": "autoencoder0621/scoring-0-72-using-only-statistics-average", "kernel_id": "73383495"}, {"ref": "zhenjie1/656-complete-final-project-submission", "kernel_id": "73120112"}, {"ref": "sa1f27/sales-time-series-analysis", "kernel_id": "73190608"}, {"ref": "nguyenttuyetmai/dsp305-ridge-random-forest", "kernel_id": "73531573"}, {"ref": "sabra15/store-sales-forcasting-using-lightgbm", "kernel_id": "73118515"}, {"ref": "batalovalada/store-sales", "kernel_id": "73585408"}, {"ref": "wyd852963/storesalespredictionhybridmodling", "kernel_id": "73136806"}, {"ref": "wyd852963/notebooka88bf03a40", "kernel_id": "73061638"}, {"ref": "ttaiaiai/timeseriesprocessing", "kernel_id": "73756688"}, {"ref": "jaysurender/notebook1e86cb8d56", "kernel_id": "73353683"}, {"ref": "alekhtripathi/store-sales", "kernel_id": "73899854"}, {"ref": "brianedwards/time-series-forecasting-2", "kernel_id": "74093428"}, {"ref": "eslam200/store-sales-regression", "kernel_id": "74067623"}, {"ref": "annurana1/store-sales-forecasting", "kernel_id": "74711348"}, {"ref": "akhilkammila/simple-3-line-no-model-submission-0-52245-score", "kernel_id": "74471405"}, {"ref": "steeltroops/store-sales-time-series-forecasting", "kernel_id": "74008265"}, {"ref": "calebboen/store-sales", "kernel_id": "74992000"}, {"ref": "renykhan/getting-to-know-store-sales-data-explore", "kernel_id": "74091656"}, {"ref": "m65673kc/ensemble-learning-w-o-lag-features", "kernel_id": "74956376"}, {"ref": "yugandhar21/store-sales-prediction", "kernel_id": "74586796"}, {"ref": "okayushsharma/store-sales-time-series-forecasting-path", "kernel_id": "74315585"}, {"ref": "csmohamedayman/eda-tsa-store-sales-time-series", "kernel_id": "75933763"}, {"ref": "alexandrequintin/times-series-forecasting", "kernel_id": "75624105"}, {"ref": "funkeymonkey/exercise-forecasting-with-machine-learning", "kernel_id": "75250520"}, {"ref": "funkeymonkey/exercise-time-series-as-features", "kernel_id": "75248069"}, {"ref": "funkeymonkey/exercise-hybrid-models", "kernel_id": "75249695"}, {"ref": "funkeymonkey/exercise-seasonality", "kernel_id": "75246209"}, {"ref": "funkeymonkey/exercise-trend", "kernel_id": "75184367"}, {"ref": "haithamelmekaoui/store-sales", "kernel_id": "75591778"}, {"ref": "kazloo/zaman-serisi-analizi-linear-regression", "kernel_id": "75319473"}, {"ref": "mikailkasimov/store-sales-attempt-2", "kernel_id": "75148125"}, {"ref": "yashsahu02/store-sales-time-series-forecasting", "kernel_id": "75176166"}, {"ref": "propgmt/time-series-rnn", "kernel_id": "75400267"}, {"ref": "srikeshv/sales", "kernel_id": "75380213"}, {"ref": "sandeep1080/random-forest-regressor-store-sales", "kernel_id": "75208483"}, {"ref": "phucddo/notebookbbea366f5e", "kernel_id": "75843407"}, {"ref": "graceegbe12/store-sales-prediction-lightgbm-xgboost", "kernel_id": "75764020"}, {"ref": "tgibbons/ver-1-linear-regression-s25", "kernel_id": "76598209"}, {"ref": "abenezertesfaye/store-sales-time-series-forecasting-lstm", "kernel_id": "76551536"}, {"ref": "kutlukatalay/advanced-time-series-forecasting-with-prophet", "kernel_id": "76742441"}, {"ref": "nihalkumarsharma/store-sales-final", "kernel_id": "76423393"}, {"ref": "farhanwew/time-series-forecasting-stock-market-sales", "kernel_id": "76629254"}, {"ref": "hoparkjh/store-sales-time-series", "kernel_id": "77800350"}, {"ref": "quentinmorenogelos/store-sales", "kernel_id": "77326931"}, {"ref": "rsohan/store-sales-cart", "kernel_id": "77116176"}, {"ref": "lloydlei/exercise-linear-regression-with-time-series", "kernel_id": "77607927"}, {"ref": "t8101349/store-sales-linear-rnn-xgboost", "kernel_id": "77548107"}, {"ref": "shamalkavitharanage/stores-sales-v05", "kernel_id": "77427616"}, {"ref": "jakubkrasuski/store-sales-forecasting-modeling-with-lightgbm", "kernel_id": "77176460"}, {"ref": "enfin201/storesales-prophet-tes", "kernel_id": "77172501"}, {"ref": "infinity1090/store-sales-forecasting", "kernel_id": "77125127"}, {"ref": "tomamot/store-sales-comp-v2", "kernel_id": "78055956"}, {"ref": "scarrodrguezlojo/salesfavorita", "kernel_id": "78883299"}, {"ref": "mosaadhendam/time-series-as-features", "kernel_id": "78571274"}, {"ref": "mosaadhendam/exercise-seasonality", "kernel_id": "78484699"}, {"ref": "aprendizhector/exercise-hybrid-models", "kernel_id": "78257617"}, {"ref": "inspectorgoole/exercise-seasonality", "kernel_id": "78629805"}, {"ref": "ruhul20/store-sales-time-series", "kernel_id": "78669384"}, {"ref": "lloydlei/exercise-seasonality", "kernel_id": "78216260"}, {"ref": "mervearta/storesales-time-series-forecasting", "kernel_id": "78792612"}, {"ref": "infinity1090/store-sales-analysis-forecasting", "kernel_id": "78052099"}, {"ref": "bhowmicksaurav/exercise-time-series-as-features", "kernel_id": "78696016"}, {"ref": "bhowmicksaurav/exercise-linear-regression-with-time-series", "kernel_id": "78677066"}, {"ref": "bhowmicksaurav/exercise-seasonality", "kernel_id": "78687834"}, {"ref": "jakewright/forecasting-workshop", "kernel_id": "79236329"}, {"ref": "bonnguynminh/exercise-forecasting-with-machine-learning", "kernel_id": "79790014"}, {"ref": "poppyff/notebook62e8940293", "kernel_id": "79492903"}, {"ref": "infinity1090/sales-prediction-using-xgboost", "kernel_id": "79336523"}, {"ref": "eduardoespinoza22/reg4-ckpt1", "kernel_id": "79186144"}, {"ref": "shahinmia/exercise-linear-regression-with-time-series", "kernel_id": "79379250"}, {"ref": "shahinmia/exercise-forecasting-with-machine-learning", "kernel_id": "79387341"}, {"ref": "runxishen/forecasting-workshop", "kernel_id": "79655024"}, {"ref": "berkepalamutcu/deep-learning-project", "kernel_id": "79797589"}, {"ref": "shaswatatripathy/store-sales-prediction", "kernel_id": "80162115"}, {"ref": "mboejua/darts-approach-stores-sales-forecast", "kernel_id": "80423110"}, {"ref": "mboejua/darts-store-sales-predictions", "kernel_id": "80409439"}, {"ref": "a445566/notebookb1c38515c8", "kernel_id": "80925658"}, {"ref": "mariamelsaket/sales-anomaly-detection-forecasting-with-prophet", "kernel_id": "80743188"}, {"ref": "dhaneshbb/exercise-linear-regression-with-time-series", "kernel_id": "80329247"}, {"ref": "dhaneshbb/exercise-trend", "kernel_id": "80329253"}, {"ref": "dhaneshbb/exercise-seasonality", "kernel_id": "80329256"}, {"ref": "dhaneshbb/exercise-time-series-as-features", "kernel_id": "80329258"}, {"ref": "dhaneshbb/exercise-hybrid-models", "kernel_id": "80329260"}, {"ref": "dhaneshbb/exercise-forecasting-with-machine-learning", "kernel_id": "80329264"}, {"ref": "icomert/store-sales-forecasting-ml-sampling-more", "kernel_id": "80291077"}, {"ref": "zekiyeakgn/fork-of-notebookeb184f75ba", "kernel_id": "80705081"}, {"ref": "neclagumus/store-sales-time-series-forecasting", "kernel_id": "81667864"}, {"ref": "dedquoc/store-sales-xgboost-0-480-baseline-advanced-eda", "kernel_id": "81273033"}, {"ref": "mmohamedmaged/deeplearningrnn", "kernel_id": "81800042"}, {"ref": "atulkgoyl/store-sales-time-series-forecasting-regression", "kernel_id": "81465024"}, {"ref": "tejasparse/store-sales-1", "kernel_id": "81252309"}, {"ref": "tejasparse/deep-learning-multivariate-rnn-lstm-network", "kernel_id": "81209687"}, {"ref": "naufalsulthan/exercise-linear-regression-with-time-series", "kernel_id": "81014040"}, {"ref": "mwinaryasepindiarto/exercise-trend", "kernel_id": "81481410"}, {"ref": "youssefatourqui/predict-sales-at-stores-located-in-ecuador", "kernel_id": "81798135"}, {"ref": "coderkr/store-sales-time-series-forecasting", "kernel_id": "81759355"}, {"ref": "nielco/store-sales-prediction", "kernel_id": "81559710"}, {"ref": "lngcnguyn/fork-of-test-timeseries", "kernel_id": "82622142"}, {"ref": "anshulprasad5440/storesales", "kernel_id": "82904288"}, {"ref": "yoda1ssey/description-validation-rmsle-0-40902-with-lag28-r", "kernel_id": "82150794"}, {"ref": "maxieichenseher/storesaleslstm", "kernel_id": "82578580"}, {"ref": "longunghong/merge-and-feature-engineering", "kernel_id": "82815848"}, {"ref": "oumaimaabaied/exercise-seasonality", "kernel_id": "82514194"}, {"ref": "shreyasmeru/store-sales-time-series-forecasting", "kernel_id": "82989995"}, {"ref": "berdzhart/notebook-tubes-lidia-kelompok-12", "kernel_id": "82663738"}, {"ref": "kyrollosashraf/store-sales", "kernel_id": "82837468"}, {"ref": "chandnipadia/exercise-seasonality", "kernel_id": "82749193"}, {"ref": "nicollaskpreis/notebookb58052cc9b", "kernel_id": "82600444"}, {"ref": "smzn1222/time-series-practice2", "kernel_id": "82444926"}, {"ref": "ayaanelahi/store-sales", "kernel_id": "82443667"}, {"ref": "tedrosh/storesalesfinal", "kernel_id": "83419084"}, {"ref": "jgsm00/projeto-final-mineracao-de-dados", "kernel_id": "83676993"}, {"ref": "kemavaroc/store-sales-time-series-forecasting-practice", "kernel_id": "83079932"}, {"ref": "mayurjare/store-sale-time-series-forecasting", "kernel_id": "83207079"}, {"ref": "elenaryashchentceva/lgbmregressor-1", "kernel_id": "83839682"}, {"ref": "ycwu1202/fork-of-store-sales-ts-forecasting", "kernel_id": "83937046"}, {"ref": "usefulwithgaming/notebookb9cc1b7978", "kernel_id": "83454482"}, {"ref": "alonzoulery/sales-competition-attempt-one", "kernel_id": "83669222"}, {"ref": "nicolesouza21/s-ries-temporais-supermercado", "kernel_id": "83747382"}, {"ref": "aaravkhamar/notebook93127b6fa9", "kernel_id": "83267439"}, {"ref": "abiabid/store-sales-forecasting", "kernel_id": "83584286"}, {"ref": "nataliasirt/lgbmregressor-1", "kernel_id": "83895735"}, {"ref": "arezenderj/store-sales-time-series-forecasting-anderson-r", "kernel_id": "83482880"}, {"ref": "caalvaro/notebook6c67927f2c", "kernel_id": "84031447"}, {"ref": "guivarela/notebooke71eb1e9b6", "kernel_id": "84523053"}, {"ref": "pedrokenshin/datamining-trabalho-2", "kernel_id": "84236383"}, {"ref": "muhammadusamazaman/sales-forcasting", "kernel_id": "84037313"}, {"ref": "nguyenhoangduong257/store-sales-forecasting", "kernel_id": "84741969"}, {"ref": "gabriellybelchior/notebook-trab2", "kernel_id": "84217279"}, {"ref": "anish45/store-prediction-lightgbm-gradientboost", "kernel_id": "84399054"}, {"ref": "alonzoulery/sales-competition-attempt-two-gave-up", "kernel_id": "84779780"}, {"ref": "antoinebrousse/notebook-storesales", "kernel_id": "84820724"}, {"ref": "songderun/store-sales-time-series-forecasting-w-lstm", "kernel_id": "84601166"}, {"ref": "abelsteven/exercise-forecasting-with-machine-learning", "kernel_id": "84956285"}, {"ref": "abelsteven/exercise-time-series-as-features", "kernel_id": "84864630"}, {"ref": "adithyaroy/store-sales-forecasting-using-xgb-and-rf", "kernel_id": "85639136"}, {"ref": "tommadden/top-7-score-simple-lightgbm-timeseries-forecast", "kernel_id": "85513411"}, {"ref": "pulakithkb/store-sales-carts", "kernel_id": "85543201"}, {"ref": "phantom18/time-series-forecasting-stores-in-ecuador", "kernel_id": "85045330"}, {"ref": "jamiyat/store-sales-oil-csv-linear-interpolation", "kernel_id": "85629473"}, {"ref": "jamiyat/exercise-linear-regression-with-time-series", "kernel_id": "85218170"}, {"ref": "jamiyat/store-sales-eda-only-time-series-forecasting", "kernel_id": "85179611"}, {"ref": "jamiyat/exercise-time-series-as-features", "kernel_id": "85253251"}, {"ref": "jamiyat/exercise-hybrid-models", "kernel_id": "85253435"}, {"ref": "jamiyat/exercise-forecasting-with-machine-learning", "kernel_id": "85253439"}, {"ref": "jamiyat/exercise-seasonality", "kernel_id": "85242528"}, {"ref": "jamiyat/exercise-trend", "kernel_id": "85241509"}, {"ref": "doronfingold/store-sales", "kernel_id": "85984624"}, {"ref": "snbitrngthi/exercise-seasonality", "kernel_id": "85969997"}, {"ref": "fauzan29/exercise-forecasting-with-machine-learning", "kernel_id": "85362723"}, {"ref": "dshbdhfgfb/notebooka", "kernel_id": "85650774"}, {"ref": "siyixiang/notebook1fa016ba46", "kernel_id": "85573210"}, {"ref": "siyixiang/jeshihua", "kernel_id": "85654386"}, {"ref": "zxc0407/store-sales-notebookde3924e368", "kernel_id": "85270288"}, {"ref": "xujia1001/homework-success-1", "kernel_id": "85598772"}, {"ref": "mxyyyyy1214/notebook4646f69451", "kernel_id": "85599051"}, {"ref": "mxyyyyy1214/notebookb2274e78d1", "kernel_id": "85368274"}, {"ref": "mxyyyyy1214/notebook1fa016ba46", "kernel_id": "85368720"}, {"ref": "angeom21/exercise-linear-regression-with-time-series", "kernel_id": "85403872"}, {"ref": "angeom21/exercise-trend", "kernel_id": "85404038"}, {"ref": "fjjjjjjjjjw/notebookdf4b20a5fd", "kernel_id": "85651754"}, {"ref": "fjjjjjjjjjw/notebook1fa016ba46", "kernel_id": "85369933"}, {"ref": "jiejie926/20250625", "kernel_id": "85722438"}, {"ref": "luozhaojie/notebook2b0e19ce5e", "kernel_id": "85732024"}, {"ref": "loveher123/notebook790e3c00e9", "kernel_id": "85718521"}, {"ref": "frierend/ds102-model-test", "kernel_id": "85562737"}, {"ref": "frierend/electicnet-ridge-laso-lightgbm-sarima-sarimax", "kernel_id": "85564266"}, {"ref": "yama16/notebookb761727c04", "kernel_id": "85941181"}, {"ref": "kobayashitatsuki/notebookef6540eab1", "kernel_id": "85940813"}, {"ref": "kidakou/notebook404e7d1460", "kernel_id": "85952445"}, {"ref": "emototaiyo/notebook4ce79ef4a7", "kernel_id": "85940801"}, {"ref": "moaizou/notebook065f55fba4", "kernel_id": "85940838"}, {"ref": "fujikki/store-sales-time-series-forecasting", "kernel_id": "85940796"}, {"ref": "tasakiizuru/notebookf334723e82", "kernel_id": "85940808"}, {"ref": "zainabsobhi/time-series-forecasting-trend-seasonality", "kernel_id": "86807796"}, {"ref": "zainabsobhi/store-sales-forecasting-using-hybrid-model", "kernel_id": "86420844"}, {"ref": "surenvayradyan/top-10-score-xgb-analysis", "kernel_id": "86925927"}, {"ref": "bekimrexhepi/store-sales-notebook", "kernel_id": "86863650"}, {"ref": "danilakovalenko/sales-prediction", "kernel_id": "86025278"}, {"ref": "snbitrngthi/elasticnetcv-ds102", "kernel_id": "86192967"}, {"ref": "snbitrngthi/electicnet-ridge-laso-lightgbm-sarima-sarimax", "kernel_id": "86377518"}, {"ref": "snbitrngthi/electicnet-lightgbm-sarima-official", "kernel_id": "86433725"}, {"ref": "longunghong/electicnet-lightgbm-sarima-official-ea122d", "kernel_id": "86474723"}, {"ref": "longunghong/electicnet-ridge-laso-lightgbm-sarima-7d0448", "kernel_id": "86398842"}, {"ref": "kikiaidesigner/2-0-time-series-course-a-practical-guide", "kernel_id": "86559208"}, {"ref": "kikiaidesigner/time-series-forecasting-challenge", "kernel_id": "86558631"}, {"ref": "kospintr/store-sales-feat-eng-dnn-ml-experiments", "kernel_id": "86532792"}, {"ref": "abdulrehmanchatha/hybrid-models", "kernel_id": "86359164"}, {"ref": "abdulrehmanchatha/forecasting-with-machine-learning", "kernel_id": "86359479"}, {"ref": "abdulrehmanchatha/time-series-as-features", "kernel_id": "86358929"}, {"ref": "abdulrehmanchatha/exercise-trend", "kernel_id": "86358429"}, {"ref": "abdulrehmanchatha/seasonality", "kernel_id": "86358620"}, {"ref": "abdulrehmanchatha/linear-regression-with-time-series", "kernel_id": "86357827"}, {"ref": "xiangli1986/store-sales-unpredictable-in-ecuador", "kernel_id": "86578082"}, {"ref": "frierend/electicnet-lightgbm-sarima-official-ea122d", "kernel_id": "86471487"}, {"ref": "yungtingkai/baseline-timeseriesforecasting", "kernel_id": "86180080"}, {"ref": "doishouta/notebook173c9e4327", "kernel_id": "86388089"}, {"ref": "kt13579/notebooke8afea3fc3", "kernel_id": "86378995"}, {"ref": "yukiminamide/notebook40d206e7a2", "kernel_id": "86385098"}, {"ref": "sasapanda12345/notebookb9a0662668-before", "kernel_id": "86385904"}, {"ref": "sasapanda12345/notebookf5121e7427", "kernel_id": "86376939"}, {"ref": "meromeropan/fork-of-notebookb99efd3544", "kernel_id": "86858872"}, {"ref": "ryota00/notebook7660f36122", "kernel_id": "86385224"}, {"ref": "kouken/notebookb9a0662668", "kernel_id": "86388034"}, {"ref": "meg1030/notebookb9a0662668", "kernel_id": "86388135"}, {"ref": "akira626/notebook80abf8bd3a", "kernel_id": "86369449"}, {"ref": "aoki1111/notebookb9a0662668", "kernel_id": "86388134"}, {"ref": "ttharukitt/notebookc14f34ba77", "kernel_id": "86011976"}, {"ref": "yuukifujiwara/notebookb03deb23d2", "kernel_id": "86340350"}, {"ref": "hyukiya/notebook7356e87cf0", "kernel_id": "86389423"}, {"ref": "miyatakehyuga/notebookb761727c06", "kernel_id": "86857311"}, {"ref": "junyashozui/notebook1853701247289024141a", "kernel_id": "86856876"}, {"ref": "hfhfhf211/store-saling", "kernel_id": "86042552"}, {"ref": "luhongyu1010/note2024423320116", "kernel_id": "86069761"}, {"ref": "tptptptp159/notebook5fbfab0695", "kernel_id": "86058827"}, {"ref": "kirillkuznetsov/store-sales", "kernel_id": "87598848"}, {"ref": "vpshoda/ds-baseline-xgboost-shoda", "kernel_id": "87820832"}, {"ref": "zainabsobhi/global-hybrid-model-feature-engineer", "kernel_id": "87557991"}, {"ref": "amineipad/timeseries-test", "kernel_id": "87443513"}, {"ref": "garvsachdeva0205/store-sales-baseline-lightgbm-v1", "kernel_id": "87287197"}, {"ref": "syedfaizanalii/amazon-grocery-demand-forecasting", "kernel_id": "87717638"}, {"ref": "gauripatil2299/store-sales-time-series-forecasting", "kernel_id": "87350295"}, {"ref": "angelarvela/con-randomforest", "kernel_id": "87301460"}, {"ref": "hasnainyaqooob/store-sales-eda", "kernel_id": "87473381"}, {"ref": "hasnainyaqooob/store-sales-prediction-xgboost-optuna", "kernel_id": "87402952"}, {"ref": "maita27/store-sales", "kernel_id": "87327864"}, {"ref": "yanisa11045/sale-prediction", "kernel_id": "87681367"}, {"ref": "doishouta/notebookaefa6d9f4a", "kernel_id": "87760798"}, {"ref": "ytr0606/notebook75e4b3f769", "kernel_id": "87822152"}, {"ref": "sasapanda12345/store-sales-last", "kernel_id": "87831198"}, {"ref": "kouken/notebook61f4529cf3", "kernel_id": "87838834"}, {"ref": "meg1030/notebookd67a174631", "kernel_id": "87839888"}, {"ref": "aoki1111/notebooke1b0f64eac", "kernel_id": "87839739"}, {"ref": "shaimaanasr/store-sales", "kernel_id": "87973817"}, {"ref": "manasvipatil10/notebook0a3da253e1", "kernel_id": "87576956"}, {"ref": "jcl1992/store-sales-forecasting-prophet-jcl", "kernel_id": "88513733"}, {"ref": "jcl1992/store-sales-forecasting-exponential-smoothing-jcl", "kernel_id": "88813665"}, {"ref": "syedairramhassan/store-sales-forecasting", "kernel_id": "88879977"}, {"ref": "youssefkaram222/store-sales-time-series-forecasting-lightbgm-93", "kernel_id": "88401886"}, {"ref": "ajasvanthchowdhary/notebookfd2e6d6cef", "kernel_id": "88641420"}, {"ref": "shaimaanasr/store-sales-1", "kernel_id": "88041939"}, {"ref": "baxflux/store-sales-time-series-forecasting", "kernel_id": "88579322"}, {"ref": "hemavarshitharohi/notebook", "kernel_id": "88642006"}, {"ref": "rilakkumacheng/ds-baseline-xgboost-shoda", "kernel_id": "88032353"}, {"ref": "wangruiqi77/exercise-linear-regression-with-time-series", "kernel_id": "88813472"}, {"ref": "jcl1992/store-sales-forecasting-multivariate-jcl", "kernel_id": "89063038"}, {"ref": "moizessaji/store-sales-forecast", "kernel_id": "89165231"}, {"ref": "lranario/notebook46235870ad", "kernel_id": "89170906"}, {"ref": "matteosisti/retail-demand-forecasting-with-lightgbm", "kernel_id": "89768336"}, {"ref": "pohungliu/eda-simple-arima", "kernel_id": "89166241"}, {"ref": "mirinaepark/store-sales-time-series-forecasting", "kernel_id": "89241210"}, {"ref": "leegangin/notebook9a126ec0df", "kernel_id": "89346378"}, {"ref": "rohanpurohit0705/lgbm-sales-forcast-2", "kernel_id": "89484569"}, {"ref": "rohanpurohit0705/lgbm-sales-forcast", "kernel_id": "89477661"}, {"ref": "antonglushko1/notebook67e16eec32", "kernel_id": "89488335"}, {"ref": "harshme3hta/store-sales-notebook", "kernel_id": "89116824"}, {"ref": "jakegro/store-sales-time-series-forecasting", "kernel_id": "89086083"}, {"ref": "sdnowejfojewio/time-series-forecasting", "kernel_id": "89317331"}, {"ref": "bekobeko145/store-sales", "kernel_id": "89653166"}, {"ref": "wongdark/store-sales", "kernel_id": "90382891"}, {"ref": "wongdark/fork-of-store-salese2afd59742", "kernel_id": "90434436"}, {"ref": "jakewright/new-statistical-demand-forecasting-models-of-2025", "kernel_id": "90863201"}, {"ref": "jjyun98/sales-eda-ko", "kernel_id": "90212244"}, {"ref": "houssambouchouk/exercise-time-series-as-features", "kernel_id": "90859554"}, {"ref": "ahmedmansour134/sales-prediction", "kernel_id": "90721845"}, {"ref": "nilanjansaha123/time-series-full-0-5-rmsle", "kernel_id": "90821565"}, {"ref": "ahmedrdwan/store-sales-using-linear-regression", "kernel_id": "90634443"}, {"ref": "ahmedseleem2/store-sales", "kernel_id": "90953156"}, {"ref": "mahmoudali16/sales-forecasting-using-linear-regression", "kernel_id": "90480815"}, {"ref": "suhailab/store-sales-ts-forecasting", "kernel_id": "91667125"}, {"ref": "ayaabdalsalam/exercise-linear-regression-with-time-series", "kernel_id": "91619179"}, {"ref": "mostafaasaad2004/sales-store-price-predection", "kernel_id": "91175347"}, {"ref": "datatalesbyagos/challenge-store-sales-time-series-forecasting", "kernel_id": "91559466"}, {"ref": "vedantpol/baseline-eda-model", "kernel_id": "91089767"}, {"ref": "uom220315r/220315r-time-series-analysis-lab", "kernel_id": "91965722"}, {"ref": "daveli0813/store-sales-time-series-forecasting2", "kernel_id": "91756323"}, {"ref": "yupengpei/store-sale", "kernel_id": "91014648"}, {"ref": "devpatel0415/store-sales-predictor-model", "kernel_id": "91669527"}, {"ref": "hebaamuhamedd/store-sales-linear-regression", "kernel_id": "91562283"}, {"ref": "rkukuh/exercise-linear-regression-with-time-series", "kernel_id": "92210741"}, {"ref": "rkukuh/exercise-hybrid-models", "kernel_id": "92432265"}, {"ref": "rkukuh/exercise-forecasting-with-machine-learning", "kernel_id": "92437117"}, {"ref": "rkukuh/exercise-trend", "kernel_id": "92313648"}, {"ref": "rkukuh/exercise-time-series-as-features", "kernel_id": "92359004"}, {"ref": "federicopperez/store-sales-randomforest", "kernel_id": "92299378"}, {"ref": "alimortezaie/store-sales-time-series-forecasting", "kernel_id": "92148798"}, {"ref": "carlmarco/store-salesv2", "kernel_id": "92384756"}, {"ref": "madhushankhadesilva/simple-arima", "kernel_id": "92059728"}, {"ref": "jaganpradhan0/timeseriessalesstore", "kernel_id": "92929643"}, {"ref": "kashafgillani/store-sales-time-series-forecasting", "kernel_id": "92384870"}, {"ref": "franciscomauricio/exercise-trend", "kernel_id": "92323306"}, {"ref": "benjaminlundkvist/simple-starter-sales-forecasting-with-lightgbm", "kernel_id": "92630007"}, {"ref": "nocarbonintelligence/store-sales-time-series-forecasting", "kernel_id": "92602739"}, {"ref": "lunthu/lightgbm-sales-forecast-simple-attempt", "kernel_id": "93953960"}, {"ref": "lucabasa/using-lagged-features-in-a-realistic-way", "kernel_id": "93158896"}, {"ref": "m4rcuseryx/time-series-forecasting", "kernel_id": "93111616"}, {"ref": "sdeogade/store-sales-time-series-forecasting", "kernel_id": "93204437"}, {"ref": "vedantpol/streamline-pipeline", "kernel_id": "93774236"}, {"ref": "wmm233/transformer-best-loss-0-451", "kernel_id": "93994442"}, {"ref": "akashy8004/store-sales-competition", "kernel_id": "93505514"}, {"ref": "amrashraf2/testmodel", "kernel_id": "93918315"}, {"ref": "lucaswolff/top-50-using-triple-exponential-smoothing", "kernel_id": "94119351"}, {"ref": "murtazaabdullah2010/time-forcasting-ensemble", "kernel_id": "94003167"}, {"ref": "zihaogong20/store-sales", "kernel_id": "94266377"}, {"ref": "hmnshudhmn24/store-sales-time-series-forecasting-competition", "kernel_id": "94366538"}, {"ref": "shahriarparvezshaon/amazon-grocery-demand-forecasting", "kernel_id": "95564075"}, {"ref": "squareball/boosting-models-rmsle-0-38-val-0-45-test", "kernel_id": "95355872"}, {"ref": "vuhunghn/exercise-forecasting-with-machine-learning", "kernel_id": "95550588"}, {"ref": "evrardle/36holtwinters", "kernel_id": "95138723"}, {"ref": "evrardle/storesalesforecastcompfinal", "kernel_id": "95073137"}, {"ref": "patlolashiva/exercise-linear-regression-with-time-series", "kernel_id": "95812841"}, {"ref": "haplophyrne/data-extract", "kernel_id": "96842720"}, {"ref": "allljjj/store-prediction", "kernel_id": "96221561"}, {"ref": "chinjuchandran/project-predicting-retail-demand", "kernel_id": "96793169"}, {"ref": "hfhfhf211/2xls-yuyuyu", "kernel_id": "97655878"}, {"ref": "saharoransa/sales-forcasting", "kernel_id": "97551564"}, {"ref": "yutodennou/practice-wandb-lightgbm-whole-codes", "kernel_id": "98544262"}, {"ref": "yutodennou/practice-wandb-lightgbm", "kernel_id": "98531904"}, {"ref": "thoahthanh/corporation-new", "kernel_id": "98484978"}, {"ref": "utsusemi82/exercise-linear-regression-with-time-series", "kernel_id": "99211350"}, {"ref": "utsusemi82/exercise-trend", "kernel_id": "99227511"}, {"ref": "thoahthanh/infera-machinelearning", "kernel_id": "99777031"}, {"ref": "jmtan0/store-sales-forecasting-seasonality", "kernel_id": "100393996"}, {"ref": "wmm233/timexer-transformer", "kernel_id": "100978066"}, {"ref": "richardqin404/exercise-seasonality", "kernel_id": "100273521"}, {"ref": "mariamadham22/notebook46a6ccfa8a", "kernel_id": "100185080"}, {"ref": "letitiacowell/alexandria-competition-store-sales-time-s-251555", "kernel_id": "100582343"}, {"ref": "swamyni/exercise-linear-regression-with-time-series", "kernel_id": "100128976"}, {"ref": "rohitdas87/notebook6a0edc0ce2", "kernel_id": "100057139"}, {"ref": "yacineseybou/exercise-linear-regression-with-time-series", "kernel_id": "101067201"}, {"ref": "prasad2173/store-sales-summary-14-day-forecast-using-gemini", "kernel_id": "101817117"}, {"ref": "jmtan0/store-sales-forecasting-hybrid-models", "kernel_id": "101261158"}, {"ref": "jmtan0/store-sales-forecasting-multioutput", "kernel_id": "101907374"}, {"ref": "asyaaatru/store-sales-pipeline", "kernel_id": "101775100"}, {"ref": "namanmittal006/store-sales-forecasting-using-lightgbm", "kernel_id": "101147699"}, {"ref": "bodong408/store-sales-v07", "kernel_id": "102627061"}, {"ref": "yacineseybou/exercise-hybrid-models", "kernel_id": "102702507"}, {"ref": "yacineseybou/exercise-forecasting-with-machine-learning", "kernel_id": "102703159"}, {"ref": "yacineseybou/exercise-seasonality", "kernel_id": "102701042"}, {"ref": "yacineseybou/exercise-time-series-as-features", "kernel_id": "102701907"}, {"ref": "yacineseybou/exercise-trend", "kernel_id": "102699943"}, {"ref": "osquerkkzlk/based-on-transformer", "kernel_id": "102842816"}, {"ref": "osquerkkzlk/based-on-lstm", "kernel_id": "102841147"}, {"ref": "gamzebabayigit/salesforecast", "kernel_id": "102993159"}, {"ref": "handeharmankaya/forecasting-store-sales", "kernel_id": "102348947"}, {"ref": "jianggefafengla123/notebookd0f4e12360", "kernel_id": "102352422"}, {"ref": "norani1213/store-sales", "kernel_id": "102356740"}, {"ref": "norani1213/store-sales-final-edition", "kernel_id": "102826888"}, {"ref": "samithsachidanandan/store-sales-prediction-pytorch", "kernel_id": "103574457"}, {"ref": "bodong408/store-sales-v02-tft", "kernel_id": "103308603"}, {"ref": "bodong408/store-sales-v04-n-hits", "kernel_id": "103319361"}, {"ref": "bodong408/store-sales-v03-tide", "kernel_id": "103318819"}, {"ref": "gargkirti806/sales-prediction-using-simple-linear-regression", "kernel_id": "103355228"}, {"ref": "mercyogunsola/store-sales-forecasting", "kernel_id": "103592243"}, {"ref": "haiphung07/store-sale-time-series-forcasting", "kernel_id": "103815765"}, {"ref": "zakharsavchyn01/store-sales-time-series-forecasting", "kernel_id": "103648386"}, {"ref": "enskadrolu/notebook5d7441ace9", "kernel_id": "103529846"}, {"ref": "mmakemd/shap-ts", "kernel_id": "104640173"}, {"ref": "kefir999/course-work", "kernel_id": "104387712"}, {"ref": "danielfboacnegra/examenfinalml", "kernel_id": "104320125"}, {"ref": "jarrodmann/shopping-predictions", "kernel_id": "104829289"}, {"ref": "kirkcorwin/first-submission-timeseries-sales-comp", "kernel_id": "104057561"}, {"ref": "esraeslem/trendflow-ai", "kernel_id": "104797450"}, {"ref": "zerol0l/store-sales-forecasting", "kernel_id": "104302090"}, {"ref": "payaldhokane/store-csv", "kernel_id": "104367055"}, {"ref": "whalebaixun/store-sales-time-series", "kernel_id": "104505562"}, {"ref": "yvx016/store-sales", "kernel_id": "104267089"}, {"ref": "samuelbysamuelortiz/notebook-base-examen-aprendizaje-autom-tico", "kernel_id": "104332739"}, {"ref": "perryzhang14532/store-sale", "kernel_id": "104409582"}, {"ref": "phangyixuan/first-submission", "kernel_id": "104476891"}, {"ref": "jfgarciavaunal/notebook-base-examen-aprendizaje-autom-tico", "kernel_id": "104299298"}, {"ref": "alperenbozkurt/ceycey", "kernel_id": "105629372"}, {"ref": "zhenzhengong/notebook38ff7fcfad", "kernel_id": "105906115"}, {"ref": "magixe/cmp-storesales", "kernel_id": "105720237"}, {"ref": "danisgaleev/competition", "kernel_id": "105704835"}, {"ref": "olenamakodai/system-analysis-labs-part-2", "kernel_id": "105529925"}, {"ref": "nina2025/store-sales-time-series-forecasting-h-blend", "kernel_id": "105216811"}, {"ref": "alejandratique/store-sales-forecasting-using-neural-networks", "kernel_id": "105864063"}, {"ref": "xiongbaijiang/notebookd032310d8f", "kernel_id": "105955572"}, {"ref": "wasdf25588/notebookwwj", "kernel_id": "105848453"}, {"ref": "xiaodev/solutionv8cafd4a7d30", "kernel_id": "105323685"}, {"ref": "sonu07022005/notebookc3b7799ef8", "kernel_id": "105675048"}, {"ref": "ceydanazen/proje", "kernel_id": "105631124"}, {"ref": "biyiyuan/store-sales-darts-forecast", "kernel_id": "105043880"}, {"ref": "biyiyuan/team-store-sales-darts-lightgbm", "kernel_id": "105793951"}, {"ref": "oosmansadiq/store-sales-time-series-forecasting", "kernel_id": "105788508"}, {"ref": "shradhdhabhalodia/demand-forecasting-for-small-retail-using-dl", "kernel_id": "106224396"}, {"ref": "masanakashima/store-sales-high-score-v3", "kernel_id": "106312033"}, {"ref": "masanakashima/store-sales-lightgbm-time-series-v1", "kernel_id": "106307308"}, {"ref": "masanakashima/store-sales-ensemble-v2", "kernel_id": "106308326"}, {"ref": "masanakashima/store-sales-v7-expert-features-robust-pipeline", "kernel_id": "106382563"}, {"ref": "masanakashima/store-sales-v6-opt-ensemble-shap", "kernel_id": "106606455"}, {"ref": "masanakashima/store-sales-gpu-ensemble-lgbm-xgb-v5", "kernel_id": "106584027"}, {"ref": "wuhanwyz/test6", "kernel_id": "106147193"}, {"ref": "sanmua/wangxinyang", "kernel_id": "106875192"}, {"ref": "kshitij121/time-series-forecasting-store-sales", "kernel_id": "106282625"}, {"ref": "phihngtrnnguyn/time-series", "kernel_id": "106767617"}, {"ref": "huyngnhat/data-cleaned", "kernel_id": "106704409"}, {"ref": "qfightzas/notebook3d3e7ce3e0", "kernel_id": "106481728"}, {"ref": "griseosuki/notebookc5df6c8f3e", "kernel_id": "106940801"}, {"ref": "wangxinyang12/wangxinyang", "kernel_id": "106621876"}, {"ref": "yvx016/store-sales-prediction", "kernel_id": "106793252"}, {"ref": "wasdf25588/notebook-wsj-0", "kernel_id": "106384040"}, {"ref": "wasdf25588/chenyongze2024423320204", "kernel_id": "106956286"}, {"ref": "aixcanor/shuxuejianmo", "kernel_id": "106391055"}, {"ref": "zhetttt/storesales", "kernel_id": "106394611"}, {"ref": "littlemouz/notebook8f39fcf6d9", "kernel_id": "106777899"}, {"ref": "tkatsn/notebook268d80d528", "kernel_id": "106943514"}, {"ref": "tetertr/notebookd4ab5fab36-1", "kernel_id": "106950113"}, {"ref": "qiangk/notebook6-66", "kernel_id": "106793187"}, {"ref": "qiangk/shuxuejianmo1-0", "kernel_id": "106884049"}, {"ref": "zcllcz/store-sales", "kernel_id": "106394897"}, {"ref": "zcllcz/sales-prediction", "kernel_id": "106629001"}, {"ref": "teethstick/2024423320112", "kernel_id": "106806170"}, {"ref": "yehhua001/notebook2de3abee2a", "kernel_id": "106943213"}, {"ref": "hfhfhf211/notebookcaf844c0ac", "kernel_id": "106857366"}, {"ref": "dimpalyadav29/store-sales-time-series-forecasting-submit-pred", "kernel_id": "106700997"}, {"ref": "zlbblz/notebookf6aaa2b1f4", "kernel_id": "106474802"}, {"ref": "tefasss/notebook70e6c0e432", "kernel_id": "106941579"}, {"ref": "alenissacsam/store-sales-forecasting", "kernel_id": "106493584"}, {"ref": "hankairan/notebook051abcc8bc", "kernel_id": "106954998"}, {"ref": "ceydanazen/projem", "kernel_id": "106508263"}, {"ref": "shadowac/datacheck004", "kernel_id": "106028191"}, {"ref": "yujuanzhangai/store-sales-forecasting-modular-pipeline", "kernel_id": "106517578"}, {"ref": "xinyangwang123/wangxinyang", "kernel_id": "106626886"}, {"ref": "juanconher/hybrid-ets-xgboost-model-for-sales-forecasting", "kernel_id": "107672090"}, {"ref": "wtyz200208/notebook415ba1df7f", "kernel_id": "107584918"}, {"ref": "sshh13/lightgbm-xgboost", "kernel_id": "107535900"}, {"ref": "kammarishivashankarr/eda-on-store-sales", "kernel_id": "107198034"}, {"ref": "vivekumar001/store-sales-time-series-forecasting", "kernel_id": "107361350"}, {"ref": "yaoxiangyin/notebook8269651d9b", "kernel_id": "107647327"}, {"ref": "yaoxiangyin/2024423320221", "kernel_id": "107673072"}, {"ref": "nabasaikia/timeseries-nbeats-deepar", "kernel_id": "107083473"}, {"ref": "griseosuki/notebook5c51fa3254", "kernel_id": "107452687"}, {"ref": "tujeremy/autogluon", "kernel_id": "107424192"}, {"ref": "yvx016/2026-1-23", "kernel_id": "107648070"}, {"ref": "yvx016/notebook-5", "kernel_id": "107610200"}, {"ref": "xiewenwei29/storesales-1", "kernel_id": "107341546"}, {"ref": "wasdf25588/2024423320206chengyanhao-2-09fc7c859e", "kernel_id": "107599824"}, {"ref": "wasdf25588/2024423320206chengyanhao-2", "kernel_id": "107598203"}, {"ref": "zihengchan/store-sales-forecasting-205", "kernel_id": "107670118"}, {"ref": "tetertr/notebook92582126fd", "kernel_id": "107023702"}, {"ref": "cccgxx/time-prediction", "kernel_id": "107004738"}, {"ref": "lingmingjay/zengzhitao2", "kernel_id": "107674413"}, {"ref": "lingmingjay/notebook317e46cc4f", "kernel_id": "107650827"}, {"ref": "lingmingjay/notebookd4bda49e44", "kernel_id": "107583999"}, {"ref": "hunchh/hunch123", "kernel_id": "107684759"}, {"ref": "yk120951/notebookc4ec2f17f8", "kernel_id": "107326564"}, {"ref": "hdsngzsdnm/notebook1ae2c3ac7b", "kernel_id": "107583863"}, {"ref": "hdsngzsdnm/notebook0987d3c7bb", "kernel_id": "107576710"}, {"ref": "hdsngzsdnm/notebookf4bfe1ecaa", "kernel_id": "107682548"}, {"ref": "hdsngzsdnm/notebookc84ddf95d7", "kernel_id": "107684563"}, {"ref": "lixiaowen20110/notebook19b93d58a2", "kernel_id": "107505151"}, {"ref": "zzhitao/zengzhitao", "kernel_id": "107661955"}, {"ref": "lkz233/notebookd24f1057ed", "kernel_id": "107044765"}, {"ref": "lkz233/notebooka94a89f1b5", "kernel_id": "107050467"}, {"ref": "lkz233/notebook792dd87b29", "kernel_id": "107050668"}, {"ref": "forest8115/notebook22", "kernel_id": "107679892"}, {"ref": "pordonz/zhongjiamin2024423320231", "kernel_id": "107659586"}, {"ref": "teethstick/notebookc17af86f37", "kernel_id": "107004887"}, {"ref": "yan15992345/store-sales-time-series-forecasting-by-yanjunhao", "kernel_id": "107202331"}, {"ref": "ouyiquan/notebook075ffe9ac7", "kernel_id": "107596614"}, {"ref": "yehhua001/notebook2ec202ec5d", "kernel_id": "107303214"}, {"ref": "xinslm/114514", "kernel_id": "107027933"}, {"ref": "hfhfhf211/stallll", "kernel_id": "107330368"}, {"ref": "lll2024423320219/notebooke01e870d9d", "kernel_id": "107821951"}, {"ref": "lll2024423320219/notebook1e37353d1b", "kernel_id": "107802959"}, {"ref": "seven6499/qijifei", "kernel_id": "107672471"}, {"ref": "xiaodev/favorita-competetion", "kernel_id": "107666558"}, {"ref": "tptptptp159/1-18shuxuejianmo", "kernel_id": "107270778"}, {"ref": "guo2005/notebook9cd8dcd07c", "kernel_id": "107588109"}, {"ref": "afhkfha/notebookf205967f37", "kernel_id": "107605273"}, {"ref": "hankairan/notebook875c660dd4", "kernel_id": "107505751"}, {"ref": "shoshanamiriamlevin/iwoa-liquaor-mixlm-by-yaakov-levin", "kernel_id": "107305332"}, {"ref": "zhn1874/chronosx-technical", "kernel_id": "107173797"}, {"ref": "patrickogweno/notebook072b5cd96c", "kernel_id": "107603339"}, {"ref": "vincenzorubino/store-sales-advanced-ensemble-v2", "kernel_id": "107385863"}, {"ref": "vincenzorubino/store-sales-lightgbm-forecasting", "kernel_id": "107385518"}, {"ref": "vincenzorubino/store-sales-v3-multilags-ensemble", "kernel_id": "107386088"}, {"ref": "vincenzorubino/store-sales-v4-optimized", "kernel_id": "107386509"}, {"ref": "vincenzorubino/store-sales-v5", "kernel_id": "107386727"}, {"ref": "vincenzorubino/store-sales-v6-killer", "kernel_id": "107386989"}, {"ref": "vincenzorubino/store-sales-v8-ultimate", "kernel_id": "107388171"}, {"ref": "vincenzorubino/store-sales-v7-fixed", "kernel_id": "107387674"}, {"ref": "vincenzorubino/store-sales-winning-solution-v1", "kernel_id": "107801326"}, {"ref": "kasaudhanshivani/notebook4d1b10d94b", "kernel_id": "107838636"}, {"ref": "safar1/tutorial-and-top", "kernel_id": "108602554"}, {"ref": "takatophy/store-sales-time-series-eda", "kernel_id": "108151565"}, {"ref": "takatophy/polars-vs-pandas-real-kaggle-benchmark", "kernel_id": "108152325"}, {"ref": "rosyidansorri/sales-forecasting", "kernel_id": "108600225"}, {"ref": "moaathahmed/hybrid-time-series-forecasting-with-lightgbm", "kernel_id": "108489620"}, {"ref": "sametsssx/time-series-analysis-store-sales-forecasting", "kernel_id": "108916654"}, {"ref": "harukiharada/robust-ensemble-xgboost-lightgbm-catboost", "kernel_id": "108081222"}, {"ref": "marmarjunbb/eda-store-sales-prediction", "kernel_id": "108495641"}, {"ref": "marmarjunbb/store-sales-prediction-linear-reg-lightgbm", "kernel_id": "108514716"}, {"ref": "nawafpm/transaction-signals-for-sales-forecasting", "kernel_id": "108600207"}, {"ref": "elakumuk/sales-forecasting", "kernel_id": "108941492"}, {"ref": "leyuzakoksoken/store-sales-forecasting-using-gradient-boosting", "kernel_id": "108255972"}, {"ref": "moralesgomez/eda-train-model", "kernel_id": "108446664"}, {"ref": "yelexuan/team5-chatrmb-ps1", "kernel_id": "108782758"}, {"ref": "neudheh/exercise-hybrid-models", "kernel_id": "108951998"}, {"ref": "neudheh/exercise-time-series-as-features", "kernel_id": "108951112"}, {"ref": "neudheh/exercise-linear-regression-with-time-series", "kernel_id": "108948759"}, {"ref": "neudheh/exercise-trend", "kernel_id": "108949298"}, {"ref": "neudheh/exercise-seasonality", "kernel_id": "108949882"}, {"ref": "vincenzorubino/store-sales-v11-winner", "kernel_id": "108872542"}, {"ref": "ethanlinac/ethan-ps1-notebook", "kernel_id": "108779330"}, {"ref": "krishna030526/storesales-timeseries-forecastingcompetition", "kernel_id": "108198345"}, {"ref": "sridharradi/keep-it-simple-recent-averages-method", "kernel_id": "109612374"}, {"ref": "clintoris/store-sales-xgb-stack", "kernel_id": "109638560"}, {"ref": "miadul/exercise-trend", "kernel_id": "109470253"}, {"ref": "miadul/exercise-linear-regression-with-time-series", "kernel_id": "109468997"}, {"ref": "zeynepperr/exercise-linear-regression-with-time-series", "kernel_id": "109237175"}, {"ref": "suhanigupta04/sales-forecasting-seed-ensembling", "kernel_id": "109945354"}, {"ref": "suhanigupta04/store-sales-time-series-forecasting-xgboost", "kernel_id": "109440690"}, {"ref": "aasthagupta082002/store-sales-fine-tuned-model-with-eda-analysis", "kernel_id": "109553982"}, {"ref": "itsharshitgoel/exercise-linear-regression-with-time-series", "kernel_id": "109755881"}, {"ref": "rhythmghai/retail-prophet-sales-forecasting-engine", "kernel_id": "109592179"}, {"ref": "muchzannurnadhif/store-sales-time-series-forecasting-cv3-much", "kernel_id": "109814808"}, {"ref": "abhishekgupta56447/store-sales-time-series", "kernel_id": "109989091"}, {"ref": "anshugupta04/notebook9b0fec451b", "kernel_id": "109305913"}, {"ref": "mishshaikh/hackathon-project", "kernel_id": "109238025"}, {"ref": "neudheh/exercise-forecasting-with-machine-learning", "kernel_id": "109968978"}, {"ref": "lorenzoscaturchio/store-sales-time-series-forecasting-with-lightgbm", "kernel_id": "110287612"}, {"ref": "crystalhu0106/exercise-linear-regression-with-time-series", "kernel_id": "110963399"}, {"ref": "momenhamza2002/sdeen", "kernel_id": "110023541"}, {"ref": "mostov/store-sales-forecasting-validation-xgb-0-45", "kernel_id": "110155270"}, {"ref": "hngphckhmt2024nguyn/n-n-na-naaa", "kernel_id": "110462478"}, {"ref": "anhsnvngkh/t127-hybrid-lightgbm-xgboost-ensemble", "kernel_id": "110596440"}, {"ref": "beyzatopbas/store-sales-forecasting", "kernel_id": "110523785"}, {"ref": "xorianma/store-sales", "kernel_id": "110817351"}, {"ref": "tushardobal/store-sales-forecasting-using-lightgbm", "kernel_id": "110162233"}, {"ref": "szlevente/prophet-for-store-sales-complete-walkthrough", "kernel_id": "111588939"}, {"ref": "bph5046/firstsub", "kernel_id": "111901591"}, {"ref": "nikitachubai/store-sales-forecasting-eda-lagfeatures-catboost", "kernel_id": "111424635"}, {"ref": "avik090/store-sales-forecasting", "kernel_id": "111461609"}, {"ref": "shashankkc/stl-forecasting", "kernel_id": "111294814"}, {"ref": "yashpalthakor/neural-demand-forecasting-system-ndfs", "kernel_id": "111122400"}, {"ref": "ericemerich/store-sales-time-series-forecasting-lgbmregressor", "kernel_id": "111684970"}, {"ref": "iuryalmeida/codigo-para-o-projeto", "kernel_id": "111457154"}, {"ref": "michaeljin09/group1-finalproject", "kernel_id": "111594605"}, {"ref": "abhinavp24/store-sales-forecasting", "kernel_id": "111056894"}, {"ref": "darshinireddy24/notebook146ea6b6fb", "kernel_id": "111830209"}, {"ref": "ssssws/store-sales-time-series-forecasting-h-blend", "kernel_id": "111848602"}, {"ref": "ssssws/store-sales-time-series-forecasting", "kernel_id": "111832652"}, {"ref": "khanmunsif/series-regression-of-bmw-global-automotive-sales", "kernel_id": "111722646"}, {"ref": "oussamasghir255/notebooka6eae1a422", "kernel_id": "111529760"}, {"ref": "kemaldemirba/store-sales-oracle-deep-lstm-engine", "kernel_id": "111122997"}, {"ref": "chaitanyajamble/exercise-hybrid-models", "kernel_id": "111575774"}, {"ref": "chaitanyajamble/exercise-forecasting-with-machine-learning", "kernel_id": "111579166"}, {"ref": "chaitanyajamble/exercise-time-series-as-features", "kernel_id": "111573015"}, {"ref": "chaitanyajamble/exercise-trend", "kernel_id": "111556136"}, {"ref": "chaitanyajamble/exercise-seasonality", "kernel_id": "111563793"}, {"ref": "chaitanyajamble/exercise-linear-regression-with-time-series", "kernel_id": "111547238"}, {"ref": "rifat2002/time-series-analysis", "kernel_id": "111296474"}, {"ref": "transformer1/store-sales-lightgbm-time-series-forecasting", "kernel_id": "112104890"}, {"ref": "nayanshreemenpale/time-series-demand-forecasting", "kernel_id": "112154147"}, {"ref": "dilojanravindrarasa/adm-assignment-2-268453l", "kernel_id": "112090998"}, {"ref": "harukimurai/store-sales-the-power-of-store-maturity", "kernel_id": "112610570"}, {"ref": "oussamasghir255/notebook959f8355a7", "kernel_id": "112483277"}, {"ref": "oussamasghir255/notebookc7036de8a9", "kernel_id": "112371907"}, {"ref": "airunner3503/store-sales-ts-forecasting-a-comprehensive-guide", "kernel_id": "112820937"}, {"ref": "nameditor/end2end-eda-feature-engineering", "kernel_id": "113462714"}, {"ref": "dantronic/retail-demand-forecasting", "kernel_id": "113496878"}, {"ref": "kabanchikdema/zachet-rmvps", "kernel_id": "113140620"}, {"ref": "nabasaikia/timeseries", "kernel_id": "113602689"}, {"ref": "nabasaikia/time-series-advancefeatureengg", "kernel_id": "113961455"}, {"ref": "ebjdoe/store-sales-time-series-eda-and-external-signals", "kernel_id": "113043928"}, {"ref": "mohankrishnathalla/exercise-seasonality", "kernel_id": "113613233"}, {"ref": "mohankrishnathalla/exercise-linear-regression-with-time-series", "kernel_id": "113612870"}, {"ref": "mohankrishnathalla/exercise-trend", "kernel_id": "113613029"}, {"ref": "mohankrishnathalla/exercise-time-series-as-features", "kernel_id": "113613406"}, {"ref": "mohankrishnathalla/exercise-hybrid-models", "kernel_id": "113613853"}, {"ref": "mohankrishnathalla/exercise-forecasting-with-machine-learning", "kernel_id": "113613978"}, {"ref": "tushardobal/time-series-sales-forecasting-with-lightgbm", "kernel_id": "113482690"}, {"ref": "tawhidmubashwir/lotus", "kernel_id": "114678969"}, {"ref": "nabasaikia/timeseries-tft", "kernel_id": "114111619"}, {"ref": "vipulkamboj123/store-sales-forecasting-using-lightgbm-1", "kernel_id": "114459713"}, {"ref": "sowjanyakairam/store-sales-time-series-forecasting", "kernel_id": "114403720"}, {"ref": "siddartha4/time-series", "kernel_id": "114623974"}, {"ref": "gauravmalik26/sales-forecast", "kernel_id": "115704408"}, {"ref": "txzhan/store-sales-sota-solution-lgb-xgb-ensemble", "kernel_id": "115226887"}, {"ref": "txzhan/store-sales-forecasting-solution", "kernel_id": "115402264"}, {"ref": "nithya2007/sales-forecast-xgboost", "kernel_id": "115462282"}, {"ref": "xariss/store-sales-prediction", "kernel_id": "115851964"}, {"ref": "hildlawliet/store-sales-time-series-forecasting", "kernel_id": "115485386"}, {"ref": "vladimirnasalciuc/notebookad23fe2841", "kernel_id": "116777951"}, {"ref": "liderpartiii/timeseries", "kernel_id": "116553156"}, {"ref": "jek1wantaufik/store-sales-time-series-forecasting", "kernel_id": "116615071"}, {"ref": "gibranrezaalghazzali/supervisedlinearregressionkelompok6", "kernel_id": "116908842"}, {"ref": "lfatera/time-series-forecast", "kernel_id": "117522095"}, {"ref": "jake666/store-sales-time-series-forecasting", "kernel_id": "117669494"}, {"ref": "moulijain987/exercise-seasonality", "kernel_id": "117027211"}, {"ref": "vaniertvanzetye/store-sales-forecasting-from-colab", "kernel_id": "117968686"}, {"ref": "maksymchunikhin/store-sales-time-series-forecasting", "kernel_id": "117687938"}, {"ref": "huzaifahimad/exercise-linear-regression-with-time-series", "kernel_id": "117579294"}, {"ref": "serdaronal/store-sales", "kernel_id": "117527851"}, {"ref": "diya77mokal/anndl-8", "kernel_id": "117281320"}, {"ref": "migiway/retail-demand-radar", "kernel_id": "117657547"}, {"ref": "buduan/notebook0f9cc02b63", "kernel_id": "117973836"}, {"ref": "akramabdulkhakimov/sales-ridge-and-rfr", "kernel_id": "118732321"}, {"ref": "gabrielnsj/analyses-sotre-sales-time-series", "kernel_id": "118656712"}, {"ref": "yukiazumao/estimation-of-daily-sales-with-mlr", "kernel_id": "118071742"}, {"ref": "iharendra13/store-sales-time-series-forecasting", "kernel_id": "118885251"}, {"ref": "ngoothinh/store-sales-time-series-forecasting-ensemble", "kernel_id": "118455422"}, {"ref": "chuanwan/notebook45ac8e00ba", "kernel_id": "118480987"}, {"ref": "basaktamer/store-sales-time-series-forecasting", "kernel_id": "119026983"}, {"ref": "ellm37/notebook37", "kernel_id": "119946824"}, {"ref": "marinello/baseline-greencube", "kernel_id": "120526656"}, {"ref": "evgendvorkin/lgbm-0-42025", "kernel_id": "120525412"}, {"ref": "deep262003/4-375-transformer-encoder-time-series-store-sales", "kernel_id": "120674073"}, {"ref": "hseyin123987/predicting-sales-a-clean-time-series-approach", "kernel_id": "120844517"}, {"ref": "aanyamanikere/notebook7f5d698270", "kernel_id": "120735272"}, {"ref": "vtorpaixo/paixasbook", "kernel_id": "120490095"}, {"ref": "zoujing666/notebook17183ec4f3", "kernel_id": "120653878"}, {"ref": "hoodrichpirobo/exercise-linear-regression-with-time-series", "kernel_id": "121906557"}, {"ref": "vsfkhkfbkjdbj/final-draft-of-store-sales-forcasting", "kernel_id": "121650445"}, {"ref": "vsfkhkfbkjdbj/sales-forecasting-time-series", "kernel_id": "121084727"}, {"ref": "quietluna/store-sales-time-series", "kernel_id": "121210121"}, {"ref": "may27thzzk/top-160", "kernel_id": "121372564"}, {"ref": "yaelhoo/notebookab833ebf82", "kernel_id": "121820459"}, {"ref": "fffive/group-work", "kernel_id": "121651865"}, {"ref": "baofengyu12/store-sales3", "kernel_id": "121195717"}, {"ref": "baofengyu12/store-sales", "kernel_id": "121844832"}, {"ref": "mukminimukmini/notebook", "kernel_id": "121281254"}, {"ref": "ty1122111/notebookf840ddbdc6", "kernel_id": "121417382"}, {"ref": "c1hkitty/notebookffc7cd3ddf", "kernel_id": "121955412"}, {"ref": "anggidwifiani/simple-prophet-fb-with-77-6-accuracy", "kernel_id": "122712693"}, {"ref": "hoodrichpirobo/exercise-hybrid-models", "kernel_id": "122642319"}, {"ref": "hoodrichpirobo/exercise-forecasting-with-machine-learning", "kernel_id": "122734887"}, {"ref": "hoodrichpirobo/exercise-seasonality", "kernel_id": "122127841"}, {"ref": "hoodrichpirobo/exercise-trend", "kernel_id": "122051355"}, {"ref": "hoodrichpirobo/exercise-time-series-as-features", "kernel_id": "122299002"}, {"ref": "eziokenway6610398/storesaleseda", "kernel_id": "122178349"}, {"ref": "jasonb13/daming", "kernel_id": "122169751"}, {"ref": "mhskaya/store-sales-forecasting", "kernel_id": "122366249"}, {"ref": "ranamatcha/anon-tokyo", "kernel_id": "122883711"}, {"ref": "runtianwei/store-sales-baseline0", "kernel_id": "122160172"}, {"ref": "qidertry/notebook", "kernel_id": "122977822"}, {"ref": "zhouwenxuan5/notebookbd767aae42", "kernel_id": "122872061"}, {"ref": "aftield/exercise-store-sales", "kernel_id": "122162836"}, {"ref": "xuanxuan0923/students-numbers", "kernel_id": "122004680"}, {"ref": "devs69/devs69-kaggle-03-store-sales-forecasting-baselin", "kernel_id": "122379453"}, {"ref": "linzlea/notebook3", "kernel_id": "122351528"}, {"ref": "atommmm1234/store-sales-final-work", "kernel_id": "122920172"}, {"ref": "lihuiting1/notebook5b6643af83", "kernel_id": "122904690"}, {"ref": "lwttt1/notebook9e6db46c33", "kernel_id": "122996658"}, {"ref": "putriwlndri/kelompok-4-mlb-uas-project-bisnis-digital", "kernel_id": "123120706"}, {"ref": "may27thzzk/kaggle-v9", "kernel_id": "123068173"}, {"ref": "lzjnbw/group", "kernel_id": "123242481"}, {"ref": "immikkitty331/notebook780e8e191e", "kernel_id": "123887497"}, {"ref": "immikkitty331/notebookc42dd78225", "kernel_id": "123884752"}, {"ref": "immikkitty331/notebookf2f29ae7d1", "kernel_id": "123880976"}, {"ref": "lztlhllyl/notebook6701d3e599", "kernel_id": "123027138"}, {"ref": "zoujing666/notebook101b8bace6", "kernel_id": "123616464"}, {"ref": "zoujing666/notebookc6680f18f0", "kernel_id": "123843279"}, {"ref": "zoujing666/notebook5e7cb206be", "kernel_id": "123877865"}, {"ref": "zoujing666/notebook5843911fee", "kernel_id": "123880133"}, {"ref": "guoyijun999/notebook7404595dd8", "kernel_id": "123687871"}, {"ref": "guoyijun999/notebook1f65f9f4d5", "kernel_id": "123679955"}, {"ref": "lovejoy1314/notebook4fa919af44", "kernel_id": "123781566"}, {"ref": "zhrmghg661/notebook828a21d441", "kernel_id": "123853134"}, {"ref": "yuanfeilin/notebook4240e8ee6f", "kernel_id": "123243309"}, {"ref": "zhouwenxuan5/notebookfc7199b993", "kernel_id": "123153751"}, {"ref": "zhouwenxuan5/notebook2", "kernel_id": "123213313"}, {"ref": "chishane/notebook37b7cc0a29", "kernel_id": "123536878"}, {"ref": "sabergoogle/20260619manpower", "kernel_id": "123844941"}, {"ref": "ty1122111/notebook2", "kernel_id": "123236400"}, {"ref": "piperemurillo/notebook1", "kernel_id": "123143413"}, {"ref": "hydrangeasena/notebook3486d5ace7", "kernel_id": "123394382"}, {"ref": "cenghao/notebookc87119ec6a", "kernel_id": "123859520"}, {"ref": "cenghao/notebookfe4292bad1", "kernel_id": "123832092"}, {"ref": "cenghao/notebook97e3172e83", "kernel_id": "123845818"}, {"ref": "linzlea/notebook10", "kernel_id": "123024803"}, {"ref": "kqrnzki/notebookb9d3f04cd7", "kernel_id": "123132168"}, {"ref": "blockman3063/notebook28fae8d508", "kernel_id": "123362911"}, {"ref": "iamlitaibai14/notebook-1", "kernel_id": "123134625"}, {"ref": "qiuyeqiliang/notebook24928ec486", "kernel_id": "123026306"}, {"ref": "qiuyeqiliang/notebook2aefbc0e73", "kernel_id": "123023243"}, {"ref": "lwttt1/notebookdb98177c3b", "kernel_id": "123132489"}, {"ref": "lwttt1/notebooka7a0e583c3", "kernel_id": "123130334"}, {"ref": "mygozzzzzz/notebook5041497072", "kernel_id": "123420600"}, {"ref": "mygozzzzzz/notebookb3b426d0cc", "kernel_id": "123875418"}, {"ref": "tangjeffe/test2", "kernel_id": "123075940"}, {"ref": "queen2007/notebook12345", "kernel_id": "123027019"}, {"ref": "yben114514/114514", "kernel_id": "123441900"}, {"ref": "zhangrunhang/rh-final", "kernel_id": "123619905"}, {"ref": "ksdpmgr/notebook32b7ec35e5", "kernel_id": "123776857"}, {"ref": "liangliangye/notebook4dd6440755", "kernel_id": "123886696"}, {"ref": "liangliangye/notebooka3b6e99698", "kernel_id": "123883968"}, {"ref": "aaqqqaa/notebookea2147ccc1", "kernel_id": "123113193"}, {"ref": "fuhongyang/notebookeb95dcb5e6", "kernel_id": "123229173"}, {"ref": "iiiyijia/notebook2d15fbe127", "kernel_id": "123366964"}, {"ref": "iiiyijia/notebooke27812bfdf", "kernel_id": "123818645"}, {"ref": "iiiyijia/notebook032add7b11", "kernel_id": "123785087"}, {"ref": "kaworukun/notebook549a354fad", "kernel_id": "123226538"}, {"ref": "xyx1523/notebooke59b516fc2", "kernel_id": "123196280"}, {"ref": "maxyip44/notebookce9467541a", "kernel_id": "123196302"}, {"ref": "hyb6688/11111", "kernel_id": "123207355"}, {"ref": "xyx0316/notebooke59b516fc2", "kernel_id": "123248452"}, {"ref": "ab231825/notebookcf3b38f83d", "kernel_id": "123226039"}, {"ref": "megumismith/notebook-linjinghao", "kernel_id": "123226047"}, {"ref": "wangshengkun/notebook8091030261", "kernel_id": "123253062"}, {"ref": "dks666/notebookf664396c37", "kernel_id": "123240631"}, {"ref": "yijingwuyu/aizuoye", "kernel_id": "123405910"}, {"ref": "wilburzhang/notebookdc7c837727", "kernel_id": "123347863"}, {"ref": "yunqian3/store-sales-version", "kernel_id": "123610640"}, {"ref": "yunqian3/store-sales-final-version", "kernel_id": "123612497"}, {"ref": "yunqian3/notebookf840ddbdc6-8df3fd", "kernel_id": "123604379"}, {"ref": "yunqian3/storesalesuomdatamining", "kernel_id": "123607189"}, {"ref": "yunqian3/storesalesfinal", "kernel_id": "123608274"}, {"ref": "yunqian3/notebookf205967f37", "kernel_id": "123608765"}, {"ref": "yunqian3/notebook-version1", "kernel_id": "123425759"}, {"ref": "zhhh77/notebookd5fdd5c623", "kernel_id": "123440994"}, {"ref": "zhhh77/notebookf15185b498", "kernel_id": "123826570"}, {"ref": "waichan6/notebook494df9fc52", "kernel_id": "123874095"}, {"ref": "funitao/11111", "kernel_id": "123420619"}, {"ref": "yougesuotuosi/notebook7fad847110", "kernel_id": "123419734"}, {"ref": "faleshhhhh/notebook6728790e2d", "kernel_id": "123436334"}, {"ref": "jcmjl0710/notebookf5cd74f1cc", "kernel_id": "123420681"}, {"ref": "wenjingxi/notebook08697bf1ea", "kernel_id": "123575591"}, {"ref": "xiaoxiaoqikun/notebook2e8a9b7711", "kernel_id": "123867078"}, {"ref": "ljtgaga/ljtmcxlhc", "kernel_id": "123772924"}, {"ref": "stellan1111/notebook2460c5ec76", "kernel_id": "123670828"}, {"ref": "stellan1111/notebook18961ee1b0", "kernel_id": "123812218"}, {"ref": "x2654780282/notebookf8f0d76f47", "kernel_id": "123679724"}, {"ref": "dgut666/notebookb946235118", "kernel_id": "123841857"}, {"ref": "ximingpan/notebook", "kernel_id": "123777625"}, {"ref": "jotmikasa/notebookeeafa4dc3a", "kernel_id": "123787525"}, {"ref": "zhongrui666/12345", "kernel_id": "123847471"}, {"ref": "dawnstars191009/notebook053ba6718b", "kernel_id": "123828910"}, {"ref": "xiongzihong/notebookb778c301c8", "kernel_id": "123867409"}, {"ref": "rybsgz/notebook357c1ae668", "kernel_id": "123884971"}, {"ref": "tvtvt499/notebook-luyongtao", "kernel_id": "123887589"}, {"ref": "amitsahu01234/store-sales-time-series-forecasting", "kernel_id": "124814548"}, {"ref": "wxyaaaa/storesales", "kernel_id": "124752356"}, {"ref": "zsy1023002160/notebook190fd03526", "kernel_id": "124776089"}, {"ref": "zsy1023002160/notebook3be6c1d88a", "kernel_id": "124773641"}, {"ref": "newsoul007/deep-learning-lstm", "kernel_id": "124936882"}, {"ref": "kusatsu0932/notebook8c975cd216", "kernel_id": "124891554"}, {"ref": "takuyahamasaki/notebookf451e42399", "kernel_id": "124884234"}, {"ref": "panleyi666/ply555", "kernel_id": "124909917"}, {"ref": "awa16888y/notebook2e4d3979a3", "kernel_id": "124623753"}, {"ref": "isabelagugel/store-sales-projeto", "kernel_id": "124946850"}, {"ref": "sagarsharmafeb87/favorita-showcase-final", "kernel_id": "125592149"}, {"ref": "wmh0331/store-sale", "kernel_id": "125833839"}, {"ref": "ericamarques/regres-o-parte-2", "kernel_id": "125482586"}, {"ref": "endbad25/notebook485d99bf6f", "kernel_id": "125600025"}, {"ref": "liwemjing/23011", "kernel_id": "125423577"}, {"ref": "tanzhuoran/notebook5874e8d63d", "kernel_id": "125299457"}, {"ref": "shenpj/notebook305177053e", "kernel_id": "125541174"}, {"ref": "ssssyyyyzzzz/notebook305177053e", "kernel_id": "125291083"}, {"ref": "gongxingxin/bbbb222", "kernel_id": "125274928"}, {"ref": "gongxingxin/aaaaa1", "kernel_id": "125271644"}, {"ref": "acccccyy/store-sales", "kernel_id": "125255344"}, {"ref": "wangfangmin/notebook833cc5a94e", "kernel_id": "125417636"}, {"ref": "wangfangmin/notebook18a5103aa8", "kernel_id": "125403650"}, {"ref": "mdshafayeturrahman/store-sales-forecasting-eda-to-submission", "kernel_id": "125291392"}, {"ref": "tharishreddy22/store-sales-time-series-forecasting-light-gbm", "kernel_id": "125762204"}, {"ref": "tufe11/notebook875f7cd6fa", "kernel_id": "125777072"}, {"ref": "rqxw2v33lzrwm/notebook04af63d11f", "kernel_id": "125776771"}, {"ref": "combcomb/notebook41f0f651f0", "kernel_id": "125682227"}, {"ref": "hirayamaharuki/data-8", "kernel_id": "125775737"}, {"ref": "takeshitakeoka/notebookstoresales", "kernel_id": "125781175"}, {"ref": "kentaroh1028/notebook08e5c1a2b9", "kernel_id": "125783583"}, {"ref": "sandal746/notebookb8588d8857", "kernel_id": "125775631"}, {"ref": "tanigawa2026/notebookstore-sale1", "kernel_id": "125739973"}, {"ref": "ngt12345/notebook30b0f62d41", "kernel_id": "125775739"}, {"ref": "pearlship/data-science-work", "kernel_id": "125776237"}, {"ref": "matusho/notebookef834662eb", "kernel_id": "125774757"}, {"ref": "haruya5578/notebookbb51130338", "kernel_id": "125775261"}, {"ref": "seitarotakamura/notebookfa81b24495", "kernel_id": "125782403"}, {"ref": "yutakatuki/notebook54b089e121", "kernel_id": "125778513"}, {"ref": "tsurumoto/notebook5d0a01c297", "kernel_id": "125779604"}, {"ref": "naoki0722/notebook05bfc0e805", "kernel_id": "125777530"}, {"ref": "yagisouta1030/notebooka854faf13c", "kernel_id": "125777826"}, {"ref": "kusudasho/notebookef834662eb", "kernel_id": "125781446"}, {"ref": "kusudasho/notebook5e32ebeeaa", "kernel_id": "125780159"}, {"ref": "yuasakai/notebook7824432c31", "kernel_id": "125064441"}, {"ref": "takeuchiryusei/notebook576ccd69e5", "kernel_id": "125775356"}, {"ref": "greenyoshida/notebook0c3bf431b7", "kernel_id": "125781280"}, {"ref": "miyagawasoichiro/notebookab048f2638", "kernel_id": "125775312"}, {"ref": "toroiaxi/lightgbm", "kernel_id": "125772988"}, {"ref": "andremourasouza/notebook-do-projeto-final-de-ciencia-de-dados", "kernel_id": "125549886"}, {"ref": "marcojobim/trabalho-final", "kernel_id": "125736101"}, {"ref": "gustavosaitodev/ci-ncia-de-dados", "kernel_id": "125690697"}, {"ref": "nicolepatterson8910/time-series-forecasting", "kernel_id": "126171846"}, {"ref": "mahdivafaei/store-sales-forecasting-lightgbm", "kernel_id": "126273427"}, {"ref": "maximendacleu/store-sales-time-series-forecasting", "kernel_id": "126460621"}, {"ref": "deepanshujain91102/notebooke6d767c622", "kernel_id": "126071310"}, {"ref": "lotfimanseur/store-sales-forecasting", "kernel_id": "126610393"}, {"ref": "boussaidsaifeddin/store-sales-forecasting-with-lightgbm", "kernel_id": "126231721"}, {"ref": "ailanasirai/exercise-trend", "kernel_id": "126912978"}, {"ref": "ailanasirai/exercise-linear-regression-with-time-series", "kernel_id": "126792169"}, {"ref": "ailanasirai/exercise-hybrid-models", "kernel_id": "126966311"}, {"ref": "ailanasirai/exercise-seasonality", "kernel_id": "126915067"}, {"ref": "ailanasirai/exercise-time-series-as-features", "kernel_id": "126918083"}, {"ref": "aina0310/notebookc714efce92", "kernel_id": "126564483"}, {"ref": "moriemisaki/notebook3648a8820b", "kernel_id": "126559677"}, {"ref": "shu0123/notebookstoresales", "kernel_id": "126530756"}, {"ref": "hamadasuzuka/notebook761276697b", "kernel_id": "126553252"}, {"ref": "shiramizunagi/notebook-data-science-srmzng", "kernel_id": "126535132"}, {"ref": "matsumotokoshi/notebooka3510cb9ec", "kernel_id": "126562408"}, {"ref": "tanigawa2026/notebookstoresale3", "kernel_id": "126533264"}, {"ref": "koki0529302/notebook71a4112fef", "kernel_id": "126120131"}, {"ref": "pearlship/data-science-work2", "kernel_id": "126543612"}, {"ref": "yonezawanaoki/notebookd9f4c1d0fe", "kernel_id": "126085258"}, {"ref": "masakitakechi/notebookbc26a714b8", "kernel_id": "126435426"}, {"ref": "kusudasho/notebook68c88673d1", "kernel_id": "126052174"}, {"ref": "kusudasho/notebook55c68aef73", "kernel_id": "126057785"}, {"ref": "kusudasho/notebookd7c4d2d93f", "kernel_id": "126057528"}, {"ref": "sato123/notebook4b8caf0fbe", "kernel_id": "126561596"}, {"ref": "kanbemimikaki/notebook59e0161912", "kernel_id": "126561466"}, {"ref": "wannzyuuu/notebookb4978f1d20", "kernel_id": "126545989"}, {"ref": "furkanzmez/store-sales-data-understanding-eda-decision-l", "kernel_id": "127813361"}, {"ref": "ailanasirai/exercise-forecasting-with-machine-learning", "kernel_id": "127033431"}, {"ref": "arnavshankar28/dukeprecollege", "kernel_id": "127382933"}, {"ref": "shu0123/notebook3-1", "kernel_id": "127548188"}, {"ref": "takahashiiii/notebook7b168ea9a7", "kernel_id": "127459794"}, {"ref": "keiwatanabetm/notebook51b140aa5e", "kernel_id": "127528768"}, {"ref": "taiga0121/notebook10277c50f6", "kernel_id": "127784024"}, {"ref": "taiga0121/notebook41f0f651f0-319a27", "kernel_id": "127782388"}, {"ref": "linxitokushima/notebookc8eda18891731", "kernel_id": "127559299"}, {"ref": "kanayamamasato/notebook5ab6b9cf19", "kernel_id": "127536043"}, {"ref": "masakitakechi/notebook9165dbbc6a", "kernel_id": "127539691"}, {"ref": "kengoseno/notebookbd714d3af7", "kernel_id": "127559405"}, {"ref": "taishinishibe/notebook2e26b6b719", "kernel_id": "127553718"}, {"ref": "abco1234/notebook3-516a2d", "kernel_id": "127904375"}, {"ref": "yiruiannaz/my-try-time-serie", "kernel_id": "127965354"}, {"ref": "jtfor3/dukeprecollege", "kernel_id": "127656774"}, {"ref": "abhinavraj111/linear-regression-with-time-series", "kernel_id": "128803897"}, {"ref": "aranangadi/tsda-exp-1", "kernel_id": "128876084"}, {"ref": "skyulf/notebook4fb008bcba", "kernel_id": "128811814"}, {"ref": "k025c1011/notebookd8d1633349", "kernel_id": "128859058"}, {"ref": "navdeeshwarsuman/finalone", "kernel_id": "128700234"}, {"ref": "lovejoy1314/notebookaebf23130c", "kernel_id": "128804316"}, {"ref": "tsunamayomayo/notebook491dbc4d23", "kernel_id": "128573108"}, {"ref": "zzznemutai/notebook8bc9a459cf", "kernel_id": "128320752"}, {"ref": "combcombcomb/notebook7b168ea9a7", "kernel_id": "128449203"}, {"ref": "polaristk23/1026460080", "kernel_id": "128686591"}, {"ref": "kentaroh1028/notebook8c975cd216-820152", "kernel_id": "128453594"}, {"ref": "kentaroh1028/notebooka41029b8a4", "kernel_id": "128635764"}, {"ref": "kentaroh1028/notebook35492101c7", "kernel_id": "128644126"}, {"ref": "makonade/notebook3006323a7b", "kernel_id": "128451740"}, {"ref": "nakamurarito/notebook7b168ea9a7-b245d1", "kernel_id": "128451435"}, {"ref": "sandal746/storesales-1", "kernel_id": "128365911"}, {"ref": "ngt12345/notebook5fee056007", "kernel_id": "128457413"}, {"ref": "kkkhh9/notebookdb42c2d875", "kernel_id": "128449692"}, {"ref": "kkkhh9/notebook597a5e7374", "kernel_id": "128083528"}, {"ref": "sogasa/notebook25694c1165", "kernel_id": "128245549"}, {"ref": "akitonton4r/notebook911f62ec61", "kernel_id": "128448003"}, {"ref": "akitonton4r/notebookddb62f49a0", "kernel_id": "128449737"}, {"ref": "kya0mm/notebook4a573c39aa", "kernel_id": "128448981"}, {"ref": "xialiyang/notebook8c975cd216-2f4064", "kernel_id": "128451787"}, {"ref": "xialiyang/notebook8c975cd216-40def0", "kernel_id": "128453689"}, {"ref": "tsurumoto/notebook304f50718e", "kernel_id": "128449245"}, {"ref": "konosukechiyo/fork-of-notebookstoresales", "kernel_id": "128344707"}, {"ref": "mikumiyaguchi/notebook16ed71c371", "kernel_id": "128449151"}, {"ref": "kengoseno/notebookc53df06f96", "kernel_id": "128435296"}, {"ref": "yamanekanji/notebook127348488d", "kernel_id": "128708403"}, {"ref": "kawashimakazuto/store-sales-submit", "kernel_id": "128331235"}, {"ref": "abco1234/notebook43381458f0", "kernel_id": "128451675"}, {"ref": "kamihiiro/notebooke4bc093a46", "kernel_id": "128453532"}, {"ref": "tmk512/notebook3-1-418ac4", "kernel_id": "128450225"}, {"ref": "yonezuhayato6177/notebook89c4f7fb2b", "kernel_id": "128448281"}, {"ref": "k025c1014/group9", "kernel_id": "128851622"}, {"ref": "k025c1037/notebook948795496f", "kernel_id": "128734275"}, {"ref": "benapple/sales-forecast-baseline-draft", "kernel_id": "129426552"}, {"ref": "santoshyadavaiexpert/store-sales-forecasting", "kernel_id": "129975485"}, {"ref": "kusatsu0932/notebook8946df30e6", "kernel_id": "129394305"}, {"ref": "jothirmoysarker001/exercise-time-series-as-features", "kernel_id": "129372496"}, {"ref": "jothirmoysarker001/exercise-hybrid-models", "kernel_id": "129373320"}, {"ref": "jothirmoysarker001/exercise-seasonality", "kernel_id": "129371825"}, {"ref": "jothirmoysarker001/exercise-trend", "kernel_id": "129368160"}, {"ref": "jothirmoysarker001/exercise-linear-regression-with-time-series", "kernel_id": "129367371"}, {"ref": "jothirmoysarker001/exercise-forecasting-with-machine-learning", "kernel_id": "129535967"}, {"ref": "pranamkumarchand/sales-time-series-forecasting", "kernel_id": "129650635"}, {"ref": "michaelfumery/05-advanced-modeling-store-sales", "kernel_id": "130912792"}, {"ref": "michaelfumery/03-feature-engineering-store-sales", "kernel_id": "130732949"}, {"ref": "michaelfumery/02-cleaning-preprocessing-store-sales", "kernel_id": "130722464"}, {"ref": "michaelfumery/04-baseline-modeling-store-sales", "kernel_id": "130815526"}, {"ref": "michaelfumery/01-eda-exploration-store-sales", "kernel_id": "130649988"}, {"ref": "shashvatsingham/the-baseline-ladder-before-machine-learning", "kernel_id": "130549238"}, {"ref": "amaanansarii/store-sales-forecasting-starter", "kernel_id": "130059633"}, {"ref": "rizkisuryanugroho/store-sales-forecasting", "kernel_id": "130599127"}, {"ref": "uom220731m/favourita", "kernel_id": "130340643"}, {"ref": "michaelfumery/06-final-submission-store-sales", "kernel_id": "131017395"}, {"ref": "yosukeinada/hidden-dry-laws-178-days-holidays-events-missed", "kernel_id": "131926452"}, {"ref": "leenty/notebook56af671d62", "kernel_id": "131990372"}, {"ref": "kaglerian/notebookb7c9634b3a", "kernel_id": "132353455"}, {"ref": "rgao19/store-sales-forecasting-time-series-ml", "kernel_id": "132168781"}, {"ref": "zrlopez/store-sales-etl-validation", "kernel_id": "132695464"}, {"ref": "chishane/notebookc48d6f9307", "kernel_id": "132849618"}, {"ref": "liujiale111/notebook24b61da382", "kernel_id": "132672952"}, {"ref": "liujiale111/notebook75108b59c9", "kernel_id": "132678670"}, {"ref": "minhngle/store-sales-direct-multi-horizon-forecasting", "kernel_id": "133787333"}, {"ref": "sakinasaifit/store-sales-time-series-forecasting-team-project", "kernel_id": "133864208"}, {"ref": "michaelenoh/store-sales-time-series-forecasting", "kernel_id": "133915783"}, {"ref": "beraterolelk/rank-100-sota-store-sales-microseasonal-ensemble", "kernel_id": "134763206"}, {"ref": "yungkamlun/store-sales-time-series-forecasting", "kernel_id": "134330166"}, {"ref": "safianaam/notebook9fc8476c41", "kernel_id": "134568133"}, {"ref": "datawithabxrehman/store-sales-time-series-forecasting", "kernel_id": "134140096"}, {"ref": "randynho/store-sales-starter-enhanced", "kernel_id": "135306648"}, {"ref": "mkashiwadev/eda-for-store-sales-time-series-forecasting", "kernel_id": "135946298"}, {"ref": "nvimalcbn05/notebook87621470a9", "kernel_id": "135186075"}, {"ref": "maryamashraff1/grocery-retail-demand-promotions-performance", "kernel_id": "135112297"}, {"ref": "engnoura2/store-sales-quick-starter-lightgbm-forecasting", "kernel_id": "136527950"}, {"ref": "engnoura2/elegant-time-series-eda-interactive-plotly-guide", "kernel_id": "136526851"}, {"ref": "hitarthjain0/store-sales-how-wrong-is-random-cv", "kernel_id": "136539090"}, {"ref": "leeecan/notebook52d301348d", "kernel_id": "136137376"}]}
{"competition_id": "29793", "kernels": []}
{"competition_id": "29797", "kernels": []}
{"competition_id": "29803", "kernels": []}
{"competition_id": "29807", "kernels": []}
{"competition_id": "29810", "kernels": [{"ref": "nohrud/deep-learning-cnn-on-tensorflow-keras", "kernel_id": "18357576"}]}
{"competition_id": "29818", "kernels": []}
{"competition_id": "29840", "kernels": []}
{"competition_id": "29841", "kernels": []}
{"competition_id": "29842", "kernels": []}
{"competition_id": "29844", "kernels": []}
{"competition_id": "29860", "kernels": [{"ref": "vaasudevans/transfer-learning-using-universal-sentence-encoder", "kernel_id": "18447337"}]}
{"competition_id": "29861", "kernels": []}
{"competition_id": "29863", "kernels": []}
{"competition_id": "29865", "kernels": []}
{"competition_id": "29870", "kernels": []}
{"competition_id": "29871", "kernels": []}
{"competition_id": "29876", "kernels": [{"ref": "zhreshold/cowboy-outfits-starter-kit", "kernel_id": "18589706"}, {"ref": "sheepwang/training-cowboy-object-detection-yolov5", "kernel_id": "18817817"}, {"ref": "bamboopu1996/fasterrcnn", "kernel_id": "18923439"}, {"ref": "nekokiku/8th-training-mmdetection-cascadercnn-weight-bias", "kernel_id": "18837939"}, {"ref": "chenming97/windows-yolov5l", "kernel_id": "18967320"}, {"ref": "crazywinds/jeans-detect", "kernel_id": "18682085"}, {"ref": "niangaopx/torchvision-faster-rcnn-pb-58-9", "kernel_id": "18965000"}, {"ref": "estein666/training-cowboy-object-detection-using-yolov5rddc", "kernel_id": "18865122"}, {"ref": "herunyu/2nd-yolox-for-cowboyoutfits", "kernel_id": "19280487"}, {"ref": "zllvzy/cowboy-outfits-detection-megvii-yolox", "kernel_id": "19276400"}, {"ref": "firefightereric/faster-rcnn-resnet50", "kernel_id": "19166125"}, {"ref": "sheepwang/cow-boy-outfits-yolov5-k-fold-ensemble", "kernel_id": "19294394"}, {"ref": "zanghf163com/rank-5th-challenge-with-imbalanced-training-data", "kernel_id": "19305018"}, {"ref": "zanghf163com/mmdect-for-kaggle-jordon2000", "kernel_id": "19946221"}, {"ref": "yichaohan/6th-inference-cowboy-detectron2-faster-rcnn", "kernel_id": "19277095"}, {"ref": "yichaohan/6th-training-cowboy-detectron2-faster-rcnn", "kernel_id": "19188093"}, {"ref": "yichaohan/how-does-the-coco-eval-work", "kernel_id": "19120771"}, {"ref": "zzammm/4th-training-yolov5-transformer-module-ensemble", "kernel_id": "19343428"}, {"ref": "yuanyou47/yolov5l-cowboy-outfit-detection", "kernel_id": "19307740"}, {"ref": "lhm8013/yolov5l", "kernel_id": "19272152"}, {"ref": "kirs0816/wood-surface", "kernel_id": "25192546"}, {"ref": "pauljacobs6666666/cowboy-detection", "kernel_id": "52997077"}, {"ref": "zdshqo/cowboy-detection", "kernel_id": "52773044"}, {"ref": "jaxonss/hubu-10group", "kernel_id": "84755921"}]}
{"competition_id": "29879", "kernels": []}
{"competition_id": "29882", "kernels": []}
{"competition_id": "29886", "kernels": []}
{"competition_id": "29887", "kernels": []}
{"competition_id": "29888", "kernels": []}
{"competition_id": "29895", "kernels": []}
{"competition_id": "29908", "kernels": []}
{"competition_id": "29910", "kernels": []}
{"competition_id": "29920", "kernels": [{"ref": "rrrepatiti/water-pump-project", "kernel_id": "107393140"}]}
{"competition_id": "29921", "kernels": [{"ref": "goen01/kird-baseline-code", "kernel_id": "18532451"}]}
{"competition_id": "29931", "kernels": []}
{"competition_id": "29943", "kernels": []}
{"competition_id": "29944", "kernels": []}
{"competition_id": "29954", "kernels": []}
{"competition_id": "29985", "kernels": []}
{"competition_id": "30023", "kernels": [{"ref": "franciscojosandrades/t3-eda", "kernel_id": "18650649"}]}
{"competition_id": "30030", "kernels": [{"ref": "combi2k2/indoor-training-model", "kernel_id": "19353080"}, {"ref": "minhcool/minhcool-s-work-2022", "kernel_id": "19249828"}, {"ref": "nnh194/hackathon", "kernel_id": "19012098"}, {"ref": "hongminhv/abcde2023", "kernel_id": "34518361"}]}
{"competition_id": "30031", "kernels": []}
{"competition_id": "30032", "kernels": []}
{"competition_id": "30034", "kernels": []}
{"competition_id": "30035", "kernels": []}
{"competition_id": "30038", "kernels": []}
{"competition_id": "30039", "kernels": []}
{"competition_id": "30048", "kernels": []}
{"competition_id": "30053", "kernels": []}
{"competition_id": "30058", "kernels": []}
{"competition_id": "30060", "kernels": [{"ref": "alincijov/nlp-starter-continuous-bag-of-words-cbow", "kernel_id": "9415350"}, {"ref": "abhishek/chaii-chaii", "kernel_id": "19554220"}, {"ref": "abhishek/chaii-folds", "kernel_id": "19557219"}, {"ref": "aninda/keras-chaii", "kernel_id": "19813598"}, {"ref": "jdoesv/hf-qa-utils", "kernel_id": "19898683"}, {"ref": "opanichev/baseline-answering-with-numbers", "kernel_id": "19535170"}, {"ref": "shrutisaxena/chaii-eda", "kernel_id": "19576234"}, {"ref": "aakashnain/chaii-explore-the-data", "kernel_id": "19561533"}, {"ref": "yogeshkulkarni/chai-qna-huggingface-transformers", "kernel_id": "19789595"}, {"ref": "shaktisd/chaii-eda-baseline", "kernel_id": "19964069"}, {"ref": "vrindaprabhu/chaii-with-keras", "kernel_id": "19847582"}, {"ref": "vrindaprabhu/hindi-tamil-models-is-2-better-than-1", "kernel_id": "19899979"}, {"ref": "sreiswig/hindi-tamil-qa-with-keras", "kernel_id": "19589718"}, {"ref": "adityaecdrid/translate-them-to-tamil-language-external-data", "kernel_id": "19864720"}, {"ref": "msafi04/tamil-and-hindi-qa-wip", "kernel_id": "19592320"}, {"ref": "deeplearning10/chaii-1-inference", "kernel_id": "19479638"}, {"ref": "deeplearning10/chaii-1-starter-notebook", "kernel_id": "19302896"}, {"ref": "shahules/chaii-xlm-base-custom-qa-train-infer", "kernel_id": "19589373"}, {"ref": "julian3833/1-the-competition-qa-for-qa-noobs", "kernel_id": "19618252"}, {"ref": "julian3833/quick-and-dirty-transliteration-tables", "kernel_id": "19638415"}, {"ref": "julian3833/2-the-dataset-qa-for-qa-noobs", "kernel_id": "19630267"}, {"ref": "julian3833/3-the-metric-jaccard-qa-for-qa-noobs", "kernel_id": "19630375"}, {"ref": "julian3833/5-xlm-roberta-torch-s-extra-data-lb-0-749", "kernel_id": "19714024"}, {"ref": "julian3833/4-exploring-public-models-qa-for-qa-noobs", "kernel_id": "19714157"}, {"ref": "julian3833/6-pre-post-processing-qa-for-qa-noobs", "kernel_id": "19715204"}, {"ref": "kritidoneria/chaii-hindi-wordclouds", "kernel_id": "19789551"}, {"ref": "harveenchadha/chaii-tpu-train-nfold-xlm-hf-tf-data-extra", "kernel_id": "19897042"}, {"ref": "harveenchadha/chaii-muril-hf-keras-wb", "kernel_id": "19876162"}, {"ref": "ajaysamp/drink-chaii-and-eda", "kernel_id": "19592089"}, {"ref": "rhtsingh/chaii-qa-5-fold-xlmroberta-torch-infer", "kernel_id": "19611051"}, {"ref": "rhtsingh/external-data-mlqa-xquad-preprocessing", "kernel_id": "19681575"}, {"ref": "rhtsingh/chaii-qa-5-fold-xlmroberta-torch-fit", "kernel_id": "19815095"}, {"ref": "thedrcat/chaii-eda-baseline", "kernel_id": "19532119"}, {"ref": "thedrcat/question-answering-tutorial", "kernel_id": "19553217"}, {"ref": "docxian/chaii-visual-first-glance", "kernel_id": "19550598"}, {"ref": "kpriyanshu256/chaii-xlm-r-squad2-fold-0", "kernel_id": "19809921"}, {"ref": "jacob34/chaii-qa-simple-google-translate", "kernel_id": "19703543"}, {"ref": "vpkprasanna/chaii-basic-eda-tamil-and-hindi", "kernel_id": "19660935"}, {"ref": "durbin164/chaii-baseline-inference", "kernel_id": "19665582"}, {"ref": "durbin164/chaii-baseline-training", "kernel_id": "19658044"}, {"ref": "maheshmj007/pytorch-transformers", "kernel_id": "19941146"}, {"ref": "starkking07/just-exploring-eda-xlm-baseline", "kernel_id": "19642500"}, {"ref": "harishvutukuri/chaai-quick-eda", "kernel_id": "19611078"}, {"ref": "hoshi7/chaii-interactive-wordclouds", "kernel_id": "19628634"}, {"ref": "farzana1/chaii-hindi-and-tamil-eda", "kernel_id": "19614276"}, {"ref": "au1206/chaii-starterkit-eda-baseline", "kernel_id": "19555342"}, {"ref": "priteshraj10/lang-research-google", "kernel_id": "19827249"}, {"ref": "taromasuda/let-s-read-them-in-english", "kernel_id": "19644901"}, {"ref": "dormantscientist/baseline-model-chaii-0-73", "kernel_id": "19961890"}, {"ref": "karthikrangasai/hindi-and-tamil-q-a-with-lightning-flash", "kernel_id": "19991905"}, {"ref": "soumochatterjee/questionansweringwithbert", "kernel_id": "19881430"}, {"ref": "maunish/chaii-pytorch-train-xlmroberta-large", "kernel_id": "19688554"}, {"ref": "mpwolke/talking-tamil-hindi-nlu", "kernel_id": "19560098"}, {"ref": "mpwolke/stanza-inltk-indic-nlp", "kernel_id": "19665246"}, {"ref": "mpwolke/spacy-for-hindi-gargi-ttf-font", "kernel_id": "19631030"}, {"ref": "mpwolke/jaccard-similarity-tamil-hindi", "kernel_id": "19582776"}, {"ref": "spshota/installation-of-a-pretrain-model-from-hugging-face", "kernel_id": "19728355"}, {"ref": "shubham9455999082/python-starter-notebook-data-processing", "kernel_id": "19615438"}, {"ref": "heyytanay/chaii-understanding-the-comp-eda-baseline", "kernel_id": "19543540"}, {"ref": "doanquanvietnamca/better-loss-functions", "kernel_id": "19913435"}, {"ref": "nbroad/chaii-qa-multi-lingual-pretrained-baseline", "kernel_id": "19534639"}, {"ref": "nbroad/chaii-qa-question-gen-model-training", "kernel_id": "19631567"}, {"ref": "nbroad/chaii-qa-hindi-pseudo-labels", "kernel_id": "19653039"}, {"ref": "nbroad/chaii-qa-pytorch-tpu", "kernel_id": "19918664"}, {"ref": "nbroad/chaii-qa-character-token-languages-eda", "kernel_id": "19971922"}, {"ref": "rizdelhi/chaii-hindi-tamil-queans", "kernel_id": "19598296"}, {"ref": "anandsm7/chaii-eda-xlm-roberta-pytorch", "kernel_id": "19735844"}, {"ref": "pooja987/chaii-basic-eda", "kernel_id": "19750972"}, {"ref": "pooja987/chaii-data-prep-baseline-xlmroberta", "kernel_id": "19979356"}, {"ref": "sidharkal/question-answering", "kernel_id": "19986844"}, {"ref": "tensorchoko/chaii-eda", "kernel_id": "19608602"}, {"ref": "ashutosh619sudo/chaii-eda-and-data-exploration", "kernel_id": "19589633"}, {"ref": "oleksandrsirenko/chaii-fine-tuning-model", "kernel_id": "19643985"}, {"ref": "oleksandrsirenko/chaii-inference-finetuned-model", "kernel_id": "19650544"}, {"ref": "oleksandrsirenko/chaii-convert-data-to-squad-1-1", "kernel_id": "19695463"}, {"ref": "watzisname/comprehensive-eda-chaii-hindi-tamil-qa", "kernel_id": "19638603"}, {"ref": "towhidultonmoy/chaii-eda-multilingual-pretrained-baseline", "kernel_id": "19585789"}, {"ref": "vaibhavrmankar/train-charm-fine-tune-the-transformer-model", "kernel_id": "19908364"}, {"ref": "vaibhavrmankar/simple-start-eda-submission", "kernel_id": "19806016"}, {"ref": "vishalgrover5/chaii-basic-eda", "kernel_id": "19595811"}, {"ref": "amxnkumxr/exploring-data", "kernel_id": "19866154"}, {"ref": "tahir1413/eda-chaii-hindi-and-tamil", "kernel_id": "19592577"}, {"ref": "vigneshwarann/eda-tokenizers", "kernel_id": "19563919"}, {"ref": "vigneshwarann/eda-cleaned-tokenizers", "kernel_id": "19952683"}, {"ref": "akshayr009/chaii-hindi-and-tamil-question-answering", "kernel_id": "19609850"}, {"ref": "bhavikardeshna/chaii-eda-baseline", "kernel_id": "19664716"}, {"ref": "nimajehan/chaii-hindi-and-tamil-question-answering", "kernel_id": "19550587"}, {"ref": "kishalmandal/chaii-fit-2-epochs-mlqa-xquad-chaii", "kernel_id": "19931774"}, {"ref": "victorsullivan/chaii", "kernel_id": "19839924"}, {"ref": "rajeshkumar005/hindi-and-tamil-q-a", "kernel_id": "19615831"}, {"ref": "vaby667/eda-chaii-gogogo", "kernel_id": "19699352"}, {"ref": "sammmy101/notebook", "kernel_id": "19733139"}, {"ref": "sammmy101/external-data-mlqa-xquad-preprocessing", "kernel_id": "19732467"}, {"ref": "abhishek/hello-friends-chaii-pi-lo", "kernel_id": "20344300"}, {"ref": "abhishek/hello-friends-tez-se-chaii-train-kar-lo", "kernel_id": "20351048"}, {"ref": "ruhong/chaii", "kernel_id": "20618281"}, {"ref": "rashmibanthia/xlm-roberta-jaccard-validation-mean-max-head", "kernel_id": "20096989"}, {"ref": "usharengaraju/chaii-eda-and-preprocessing-weights-biases", "kernel_id": "20487614"}, {"ref": "ddddddddd/empty-submission", "kernel_id": "20157960"}, {"ref": "tkm2261/exp32-exp33-seed1", "kernel_id": "20697294"}, {"ref": "tkm2261/reproduction-of-0-792-notebook", "kernel_id": "20728654"}, {"ref": "tkm2261/exp33-ru", "kernel_id": "20417694"}, {"ref": "tkm2261/exp33", "kernel_id": "20417369"}, {"ref": "tkm2261/exp32-ru", "kernel_id": "20423372"}, {"ref": "tkm2261/exp32", "kernel_id": "20423417"}, {"ref": "rickykonwar/chaii-qna-rembert-mlqa-xquad", "kernel_id": "20419025"}, {"ref": "rickykonwar/chaii-qna-10folds-creation", "kernel_id": "20482600"}, {"ref": "rickykonwar/dataset-extension-xqa-mlqa-and-xquad-v01", "kernel_id": "20337574"}, {"ref": "rickykonwar/chaii-qna-transformers-xlmroberta", "kernel_id": "20282801"}, {"ref": "rickykonwar/chaii-qna-pytorch-mlqa-xquad-10folds-trained", "kernel_id": "20576513"}, {"ref": "msafi04/tensorflow-hf-qa-using-externaldata-tpu", "kernel_id": "20275996"}, {"ref": "cascadinglight/xlmroberta-bitfit-training", "kernel_id": "20298277"}, {"ref": "syednusrath/chaii-eda", "kernel_id": "20004626"}, {"ref": "saiyanwarrior/beginner-friendly-custom-pipeline-train", "kernel_id": "20250396"}, {"ref": "kritidoneria/top-1-titanic-easiest-code-ever", "kernel_id": "20139163"}, {"ref": "wuyhbb/some-random-eda", "kernel_id": "20146586"}, {"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "thedrcat/tydi-qa-download", "kernel_id": "20680612"}, {"ref": "takamichitoda/chaii-infer-with-divided-hindi-and-tamil", "kernel_id": "20008662"}, {"ref": "takamichitoda/chaii-train-with-divided-hindi-and-tamil", "kernel_id": "20006222"}, {"ref": "khankamranali/chaii-qa-simple-bert-tensorflow", "kernel_id": "20945112"}, {"ref": "starkking07/chaii-qa-5-fold-xlmrobertalongformer", "kernel_id": "20741307"}, {"ref": "starkking07/export-models-huggingface", "kernel_id": "20519180"}, {"ref": "starkking07/chaii-rembert-1-fold-training-fit", "kernel_id": "20414666"}, {"ref": "starkking07/muril-baseline-infer", "kernel_id": "20161648"}, {"ref": "starkking07/muril-baseline", "kernel_id": "20156640"}, {"ref": "riow1983/reproduction-of-0-792-notebook", "kernel_id": "20858009"}, {"ref": "zzy990106/hindi-tamil-romanization", "kernel_id": "20566169"}, {"ref": "hoshi7/chaii-pytorch-lightining-w-b", "kernel_id": "20244213"}, {"ref": "firefliesqn/chaiii-qa-starter", "kernel_id": "20142802"}, {"ref": "karthikrangasai/fork-of-hindi-and-tamil-q-a-with-lightning-flash", "kernel_id": "20967249"}, {"ref": "adldotori/tokenizing-hindi-and-tamil-language-nlp-step-1", "kernel_id": "20924773"}, {"ref": "adldotori/demo-training-nlp-step-2", "kernel_id": "20961744"}, {"ref": "adldotori/notebook-to-read-before-start-nlp-step-0", "kernel_id": "20680210"}, {"ref": "adldotori/how-to-qa-with-xlmr5", "kernel_id": "20681116"}, {"ref": "hiroshihiroshi/chaii-pos-tagging-in-tamil-and-hindi-with-r", "kernel_id": "20333965"}, {"ref": "mihtw1/chaii-ensemble", "kernel_id": "20650728"}, {"ref": "mihtw1/chaii-with-postprocess", "kernel_id": "20427651"}, {"ref": "sarwarbeing/chaii-hindi-tamil-inference-validation", "kernel_id": "20623860"}, {"ref": "maunish/chaii-pytorch-inference-xlmroberta-large", "kernel_id": "20946540"}, {"ref": "fstcap/cogltx-qa", "kernel_id": "20105003"}, {"ref": "udbhavpangotra/eda-baseline", "kernel_id": "20129497"}, {"ref": "chamecall/chaiiqa-sampling", "kernel_id": "20445636"}, {"ref": "nbroad/intro-to-hugging-face-datasets", "kernel_id": "20903173"}, {"ref": "nbroad/chaii-qa-topic-modeling", "kernel_id": "20753111"}, {"ref": "nbroad/chaii-qa-rembert-inference-1-fold", "kernel_id": "20060059"}, {"ref": "nbroad/chaii-qa-torch-5-fold-with-post-processing-765", "kernel_id": "20062802"}, {"ref": "vivmankar/simple-eda", "kernel_id": "20663847"}, {"ref": "harshwalia/chaii-easy-explanation-of-highest-voted-code-0-752", "kernel_id": "20260030"}, {"ref": "zacchaeus/chaii-tfds-wiki", "kernel_id": "20645687"}, {"ref": "swaana/hello-friends-chaii-pi-lo", "kernel_id": "20371789"}, {"ref": "jirkaborovec/chaii-q-a-with-pytorch-lightining", "kernel_id": "20682932"}, {"ref": "kobebeanbryant/chaii-1-inference", "kernel_id": "20990871"}, {"ref": "pythonispie/notebook4b320bdb65", "kernel_id": "20445298"}, {"ref": "wicharnrueangkhajorn/pluem-chaii-1-starter-notebook", "kernel_id": "20249794"}, {"ref": "vikassharma12911/chaii-externel-data-mqla-and-xquad", "kernel_id": "20021058"}, {"ref": "ashishkapasiya/chaii-hindi-tamil-question-answering-using-xlm-r", "kernel_id": "20309079"}, {"ref": "alessiopeluso/chaii-transformers", "kernel_id": "20051292"}, {"ref": "abhishekme19b069/qa-with-xlm-roberta-multilingual-tensorflow", "kernel_id": "20318698"}, {"ref": "bhavikardeshna/fine-tuning-xlm-roberta-question-answering", "kernel_id": "20075535"}, {"ref": "bhavikardeshna/fine-tuning-multilingual-bert-inference", "kernel_id": "20019027"}, {"ref": "bhavikardeshna/fine-tuning-multilingual-bert-question-answering", "kernel_id": "20017408"}, {"ref": "bhavikardeshna/chaii-inference-finetuned-model", "kernel_id": "20015876"}, {"ref": "bhavikardeshna/chaii-fine-tuning-model", "kernel_id": "20015723"}, {"ref": "bhavikardeshna/fine-tuning-language-adapter-question-answering", "kernel_id": "20531871"}, {"ref": "kishalmandal/5-folds-infer-combined-model-0-792", "kernel_id": "20917802"}, {"ref": "kishalmandal/using-optuna-to-optimise-weighted-average", "kernel_id": "20984027"}, {"ref": "kishalmandal/some-eda-and-cleaning-chaii", "kernel_id": "20639124"}, {"ref": "kishalmandal/chaii-fit-7-epochs-extra-tamil-data", "kernel_id": "20294259"}, {"ref": "gengchensun/chaii-xlm-base-custom-qa-train-infer", "kernel_id": "20733206"}, {"ref": "victorsullivan/chaii-notes", "kernel_id": "20613593"}, {"ref": "adityasharma01/post-processing-by-aditya", "kernel_id": "20572143"}, {"ref": "theamitnikhade/question-answering-starter-roberta", "kernel_id": "20718620"}, {"ref": "sanjusroboticsstudio/chaii-fit-7-epochs-extra-tamil-data", "kernel_id": "20936678"}, {"ref": "rojaachary/chaii-exploratorydataanalysis", "kernel_id": "20017900"}, {"ref": "esratmaria/chaii-question-answering-xlmroberta-large", "kernel_id": "20273654"}, {"ref": "aryaaryan/hello-friends-chaii-pi-lo", "kernel_id": "20350821"}, {"ref": "abhishek/chaii-5-folds", "kernel_id": "21326497"}, {"ref": "jdoesv/clean-rembert-feat-selector-xlmr-muril-ans-gen", "kernel_id": "21935333"}, {"ref": "tkm2261/tkm-tydi-rem-info-muril-xtream-xquad", "kernel_id": "21692186"}, {"ref": "tkm2261/exp78-exp79", "kernel_id": "21692045"}, {"ref": "tkm2261/exp32-exp33-muril", "kernel_id": "21267506"}, {"ref": "dhanyasabari/muril-infer", "kernel_id": "21479130"}, {"ref": "captainrubik/muril-large-infer", "kernel_id": "21390751"}, {"ref": "captainrubik/probingratio-first-sentence-as-the-answer", "kernel_id": "21421468"}, {"ref": "sharpshim/chaii-xlm-r-single-model-train-pytorch", "kernel_id": "21880382"}, {"ref": "trushk/training-code-13th-place-solution", "kernel_id": "21237439"}, {"ref": "trushk/hello-friends-chaii-pi-lo", "kernel_id": "21262225"}, {"ref": "trushk/qa-ensemble-voter-top-n-votes-similarity", "kernel_id": "21970344"}, {"ref": "vineethakkinapalli/chaii-abhishek-8-models", "kernel_id": "21804111"}, {"ref": "vineethakkinapalli/chaii-monolingual-5folds-5epochs", "kernel_id": "21991268"}, {"ref": "julian3833/7-public-models-revisited-qa-for-qa-noobs", "kernel_id": "21038802"}, {"ref": "guchio3/fill-sub-by-train", "kernel_id": "21944221"}, {"ref": "benwu14/chaii-fit-2-epochs-mlqa-xquad-chaii", "kernel_id": "21821271"}, {"ref": "thedrcat/chaii-murla-download-122f0", "kernel_id": "21832716"}, {"ref": "thedrcat/chaii-baseline-download-119f2", "kernel_id": "21801991"}, {"ref": "thedrcat/chaii-baseline-download-119f1", "kernel_id": "21800132"}, {"ref": "thedrcat/chaii-rembert-download-126-s1", "kernel_id": "21887289"}, {"ref": "thedrcat/chaii-ensemble-10postuning", "kernel_id": "21995534"}, {"ref": "thedrcat/chaii-baseline-download-116", "kernel_id": "21788588"}, {"ref": "thedrcat/chaii-rembert-download-77-final", "kernel_id": "21583583"}, {"ref": "thedrcat/chaii-rembert-download-79-final", "kernel_id": "21583280"}, {"ref": "thedrcat/chaii-rembert-download-79-1000", "kernel_id": "21583500"}, {"ref": "thedrcat/chaii-rembert-download-78-final", "kernel_id": "21575336"}, {"ref": "thedrcat/chaii-murla-download-73", "kernel_id": "21542694"}, {"ref": "thedrcat/chaii-baseline-download-52", "kernel_id": "21394233"}, {"ref": "thedrcat/chaii-baseline-download-68", "kernel_id": "21502880"}, {"ref": "thedrcat/chaii-murla-download-71", "kernel_id": "21528510"}, {"ref": "bandits/only-tamil", "kernel_id": "21982475"}, {"ref": "bandits/roberta-with-more-data-fold-4", "kernel_id": "21375061"}, {"ref": "rohitgr/chaii-q-a-with-pytorch-lightining", "kernel_id": "21504370"}, {"ref": "kanbehmw/tkm-tydi-rem-info-muril-top35", "kernel_id": "21497547"}, {"ref": "pawan2905/chaii-hindi-tamil-qa", "kernel_id": "21251912"}, {"ref": "haozhang607/chaii-hindi-and-tamil-question-answering", "kernel_id": "21814121"}, {"ref": "radhikasethi/xlm-roberta-pre-trained", "kernel_id": "21336700"}, {"ref": "houssemayed/q-a-xlm-model-fine-tunning-with-trainer-api", "kernel_id": "21824284"}, {"ref": "karthikrangasai/offline-installation-of-lightning-flash", "kernel_id": "21403151"}, {"ref": "karthikrangasai/swa-callback-bug-report", "kernel_id": "21829113"}, {"ref": "karthikrangasai/chaii-q-a-with-pytorch-lightining", "kernel_id": "21826762"}, {"ref": "benbla/fork-of-chaiiqa-inference-modelsensembling-eba980", "kernel_id": "21983718"}, {"ref": "ajax0564/know-your-train-jaccard", "kernel_id": "21967929"}, {"ref": "chamecall/chaiiqa-train-v3", "kernel_id": "21141464"}, {"ref": "nbroad/final-sub-char-avg", "kernel_id": "21837256"}, {"ref": "nbroad/rembert-finetune-chaii-tpu-tf", "kernel_id": "21972744"}, {"ref": "layyer/use-huggingface-transformers-pretrained-qa", "kernel_id": "21611946"}, {"ref": "zacchaeus/chaii-infer-blend-postpro-4models", "kernel_id": "21943926"}, {"ref": "pranithchowdary/google-chaii-v2", "kernel_id": "21474217"}, {"ref": "aifahim/ensemble-two-model-in-chaii-comp", "kernel_id": "21768579"}, {"ref": "jagadeesh6226/notebook95ff40c627", "kernel_id": "21839655"}, {"ref": "parasrana/ai4bharat-indic-bert", "kernel_id": "21051265"}, {"ref": "nischaydnk/where-to-begin-chaii-w-blog", "kernel_id": "21585847"}, {"ref": "biswajitroy7890/dont-copy-build-your-own-qa-system", "kernel_id": "21130922"}, {"ref": "shreyasumbetla/buscuit-badshah-train", "kernel_id": "21982509"}, {"ref": "sinatavakolibanizi/only-tamil", "kernel_id": "21983121"}, {"ref": "sinatavakolibanizi/roberta-with-more-data-fold-4", "kernel_id": "21837953"}, {"ref": "ashwins19blc1169/data-analytics-project", "kernel_id": "21364196"}, {"ref": "gabrieldhofer/hindi-and-tamil-question-answering", "kernel_id": "21061551"}, {"ref": "kobebeanbryant/muril-large-mlqa-xquad-chaii-infer", "kernel_id": "21584387"}, {"ref": "kobebeanbryant/reproduction-of-0-792-notebook", "kernel_id": "21758927"}, {"ref": "leolu1998/5fold-xlmroberta-weighted-layer-pooling-training", "kernel_id": "21817545"}, {"ref": "leolu1998/xlmroberta-with-post-processing-infer", "kernel_id": "21840789"}, {"ref": "thomasswain/chaii-1-inference-fork", "kernel_id": "21142160"}, {"ref": "logeshwaranr/nlp-chaii-review-2", "kernel_id": "21701752"}, {"ref": "nishanthaddagatla/5-folds-infer-combined-model-0-792-b006f3", "kernel_id": "21486336"}, {"ref": "nishanthaddagatla/6-pre-post-processing-qa-for-qa-noobs", "kernel_id": "21041119"}, {"ref": "nishanthaddagatla/reproduction-of-0-792-notebook", "kernel_id": "21125373"}, {"ref": "semenorekhov/chaii-1-starter-notebook", "kernel_id": "21397228"}, {"ref": "sudipg411/eda-visualization", "kernel_id": "21168919"}, {"ref": "ranjanrishabh/fork-of-fork-of-chaii-baselines-roberta", "kernel_id": "21986263"}, {"ref": "manyuli/rembert2-infer", "kernel_id": "21838285"}, {"ref": "kishalmandal/5-folds-roberta-0-792-model-lb-score-fold-4", "kernel_id": "21199220"}, {"ref": "kishalmandal/eda-experimental-results", "kernel_id": "21163580"}, {"ref": "kishalmandal/muril-xlm-r-large-cv-all-tamil-hindi", "kernel_id": "21139245"}, {"ref": "kishalmandal/muril-large-mlqa-xquad-chaii-infer", "kernel_id": "21266004"}, {"ref": "kishalmandal/muril-large-mlqa-xquad-chaii-fit", "kernel_id": "21265744"}, {"ref": "kishalmandal/xlm-roberta-fit-with-early-stopping", "kernel_id": "21285024"}, {"ref": "kishalmandal/rembert-mlqa-xquad-chaii-fit", "kernel_id": "21462649"}, {"ref": "kishalmandal/rembert-infer", "kernel_id": "21468174"}, {"ref": "shamotaro/notebookcdfe3ed035", "kernel_id": "21615543"}, {"ref": "jillanisofttech/chaii-pe-lo-g-with-acc-0-792", "kernel_id": "21596107"}, {"ref": "hengwdai/fork-of-roberta-fit-10-epochs", "kernel_id": "21522893"}, {"ref": "forcewithme/blend-of-different-seed", "kernel_id": "21134471"}, {"ref": "forcewithme/calculate-cv-2-times-faster", "kernel_id": "21985004"}, {"ref": "forcewithme/rembert-inference", "kernel_id": "21838080"}, {"ref": "forcewithme/chaii-xlm-5fold-fit", "kernel_id": "21821436"}, {"ref": "adityasharma01/5-folds-infer-combined-model", "kernel_id": "21855550"}, {"ref": "meghaljambhale/levenshtein-distance-to-predict-correct-aswer", "kernel_id": "21145840"}, {"ref": "sanjusroboticsstudio/xlm-r-with-weighted-average", "kernel_id": "21581234"}, {"ref": "aishikai/chaii-inference", "kernel_id": "21860338"}, {"ref": "aishikai/chaii-inference-ht-split", "kernel_id": "21941127"}, {"ref": "lunapandachan/chaii-eda-baseline", "kernel_id": "21142240"}, {"ref": "jianluezhang/5-fold-xlmroberta-with-weightedlayerpooling", "kernel_id": "21811814"}, {"ref": "jianluezhang/5fold-xlmroberta-weightedlayerpooling", "kernel_id": "21764660"}, {"ref": "rahulgupta15/chaii-fit-2-epochs-mlqa-xquad-chaii", "kernel_id": "21935097"}, {"ref": "sagardollin/parlegpt-submission", "kernel_id": "21985844"}, {"ref": "sagardollin/parlegpt-train", "kernel_id": "21608038"}, {"ref": "handudu/muriltuiduan", "kernel_id": "21823475"}, {"ref": "abhishek/chaii-xlm-roberta-x-muril-x-rembert-score-based", "kernel_id": "22057809"}, {"ref": "tkm2261/training-2nd-place-solution-exp32", "kernel_id": "22323381"}, {"ref": "dhanyasabari/best-score-muril-infer", "kernel_id": "22066182"}, {"ref": "trushk/ensemble-using-voting-13th-place-solution", "kernel_id": "22071522"}, {"ref": "guchio3/optuna-e110-e111-e112-e113-e114-e116-e117", "kernel_id": "22032711"}, {"ref": "thedrcat/chaii-augmentations-inference-demo-muril", "kernel_id": "22321502"}, {"ref": "thedrcat/chaii-augmentations-training-demo-muril", "kernel_id": "22294864"}, {"ref": "ankitkumar111/chaii-eda", "kernel_id": "22783939"}, {"ref": "ajax0564/chaii-qa-5-folds-with-postprocessing", "kernel_id": "22040852"}, {"ref": "nbroad/test-1k-6f", "kernel_id": "22042739"}, {"ref": "tuozhenliu/chaii-qa-v2-infer", "kernel_id": "22368276"}, {"ref": "nkitgupta/text-representations", "kernel_id": "22459338"}, {"ref": "jiacheng121211/baseline0-792epoch7danmo", "kernel_id": "22611318"}, {"ref": "leolu1998/chaii-monolingual-inference", "kernel_id": "22041632"}, {"ref": "catchbat/rembert-infer-600c53-6f0b32", "kernel_id": "22053093"}, {"ref": "nguyenduongthanh/chaii-qa-10-folds-of-muril-large", "kernel_id": "22028657"}, {"ref": "nguyenduongthanh/chaii-qa-train", "kernel_id": "22052472"}, {"ref": "abdelrhmanelkhouly/text-representations", "kernel_id": "22704923"}, {"ref": "intjerlu/5fold-xlmroberta-weightedlayerpooling-tamil", "kernel_id": "22031787"}, {"ref": "intjerlu/5fold-xlmroberta-weighted-layer-pooling-hindi", "kernel_id": "22030467"}, {"ref": "aishikai/chaii-seq2seq-mt5-fit", "kernel_id": "22065884"}, {"ref": "aishikai/chaii-rembert-fit", "kernel_id": "22067491"}, {"ref": "madhurprakash/the-chaii-dataset-eda", "kernel_id": "22340408"}, {"ref": "madhurprakash/muril-large-mlqa-xquad-chaii-inference", "kernel_id": "22378949"}, {"ref": "madhurprakash/multi-lingual-pretrained-baseline", "kernel_id": "22380114"}, {"ref": "madhurprakash/rembert-inference", "kernel_id": "22379513"}, {"ref": "madhurprakash/mlqa-xquad-preprocessing-and-eda", "kernel_id": "22373748"}, {"ref": "fionaluo7/text-representations", "kernel_id": "22727682"}, {"ref": "tkm2261/pytorch-1-10-1", "kernel_id": "23083616"}, {"ref": "karthikrangasai/hyperparameter-search-using-optuna-for-flash", "kernel_id": "24047021"}, {"ref": "karthikeya14/chaii-qa-simple-bert-tensorflow", "kernel_id": "24613162"}, {"ref": "karthikeya14/question-answering-roberta", "kernel_id": "24673232"}, {"ref": "ankitraibole/question-answering-starter-roberta", "kernel_id": "26330646"}, {"ref": "ankitraibole/nlp-project", "kernel_id": "26353392"}, {"ref": "aswin037/fine-tune-xlm-roberta-for-tamil", "kernel_id": "26305122"}, {"ref": "mesofianeyou/notebook10f7178e06", "kernel_id": "30271119"}, {"ref": "smartpy/chaii-tutorial2", "kernel_id": "30081613"}, {"ref": "yongsunyoon/01-baseline", "kernel_id": "31117175"}, {"ref": "chetangarg365/bert-m", "kernel_id": "32765396"}, {"ref": "ageofsagittarius/xlm-roberta", "kernel_id": "32758999"}, {"ref": "ageofsagittarius/roberta", "kernel_id": "32762749"}, {"ref": "chetangarg365col/big-bird-our-data", "kernel_id": "32765057"}, {"ref": "prosenjitgoswami/question-answering-starter-roberta", "kernel_id": "35326463"}, {"ref": "venkataramanabattula/tesquad2", "kernel_id": "36992355"}, {"ref": "srirambaburk/final-roberta", "kernel_id": "43935329"}, {"ref": "shido49221/csc494-49-chaii-1-inferencev7", "kernel_id": "44826768"}, {"ref": "shido49221/maxky-63130500249-chaii-public-biased-ipynb", "kernel_id": "47434697"}, {"ref": "etarunsai/crosslingual-evaluation-mbert-30k", "kernel_id": "55275431"}, {"ref": "mokshbaweja/chaii-roberta", "kernel_id": "58395351"}, {"ref": "huchenjiang/learning-extractive-qa-with-chaii-dataset", "kernel_id": "59405950"}, {"ref": "annidasa/fine-tuning-xlm-roberta-question-answering", "kernel_id": "60938794"}, {"ref": "annidasa/fork-of-fine-tuning-xlm-roberta-question-answering", "kernel_id": "62173907"}, {"ref": "shugavaneshwar/nlp-tamil-count-words", "kernel_id": "64259082"}, {"ref": "iakhtar0/fine-tuning-multilingual-bert-inference", "kernel_id": "76896359"}, {"ref": "rishavkumaragrawal/orange-problem-chaii-dataset-bert-fine-tuning", "kernel_id": "78482443"}, {"ref": "rehanbansal/notebook7a1b432ab8", "kernel_id": "83396298"}, {"ref": "shreyasnagoor/bert-fine-tuning", "kernel_id": "99869242"}, {"ref": "rodinamohamed2/q-a-model", "kernel_id": "104740910"}]}
{"competition_id": "30067", "kernels": [{"ref": "robga/simulations-episode-scraper-match-downloader", "kernel_id": "14611507"}, {"ref": "cashfeg/play-game-by-hand-2-days", "kernel_id": "19837638"}, {"ref": "cashfeg/play-game-semi-manually", "kernel_id": "19906312"}, {"ref": "ilialar/lux-ai-risk-averse-baseline", "kernel_id": "19794590"}, {"ref": "stonet2000/lux-ai-season-1-jupyter-notebook-quickstart", "kernel_id": "19491128"}, {"ref": "stonet2000/lux-ai-season-1-jupyter-notebook-tutorial", "kernel_id": "19252428"}, {"ref": "stonet2000/lux-ai-season-1-performance-benchmark-debugging", "kernel_id": "19969128"}, {"ref": "kausheeki01/lux-ai-season-1-jupyter-notebook-1", "kernel_id": "19950194"}, {"ref": "isaacyong/lux-ai-tensorflow-dqn", "kernel_id": "19872602"}, {"ref": "victorsullivan/lux-ai", "kernel_id": "19838493"}, {"ref": "arpitsolanki14/somewhat-intelligent-rule-based-agent-lb-600", "kernel_id": "20765417"}, {"ref": "wavefunctioncollapse/inspecting-maps-for-lux-ai", "kernel_id": "20805954"}, {"ref": "thalesgaluchi/lux-ai-first-approach", "kernel_id": "20891290"}, {"ref": "durbin164/lux-ai-rules-base-agent", "kernel_id": "20377050"}, {"ref": "durbin164/keras-lux-ai-reinforcement-learning", "kernel_id": "20188465"}, {"ref": "horohoro/simple-visualization-of-each-item", "kernel_id": "20040906"}, {"ref": "robga/simulation-runtime-concurrency", "kernel_id": "20214622"}, {"ref": "huikang/lux-ai-working-title-bot", "kernel_id": "20122706"}, {"ref": "huikang/lux-ai-agent-evaluation", "kernel_id": "20689530"}, {"ref": "huikang/lux-ai-working-title-bot-private-version", "kernel_id": "20967829"}, {"ref": "huikang/lux-ai-analyse-rating-updates", "kernel_id": "20997946"}, {"ref": "konstantinklepikov/resource-distribution", "kernel_id": "20641632"}, {"ref": "ruizjme/lux-ai-random-agent", "kernel_id": "20420685"}, {"ref": "jnesbit6/pytorch-deep-q-learning-train", "kernel_id": "20196898"}, {"ref": "ektanat/lux-ai-working-title-bot", "kernel_id": "20263701"}, {"ref": "lightmk/rule-based-agents-for-beginners", "kernel_id": "20802071"}, {"ref": "glmcdona/reinforcement-learning-openai-ppo-with-python-game", "kernel_id": "20271058"}, {"ref": "glmcdona/perf-benchmark-original-versus-python-replica-eng", "kernel_id": "20979253"}, {"ref": "nin7a1/lux-ai-rules-lux-ai", "kernel_id": "20636179"}, {"ref": "aithammadiabdellatif/lux-ai-reinforcement-learning", "kernel_id": "20035819"}, {"ref": "aithammadiabdellatif/lux-ai-deep-learning-imitate-the-strategy", "kernel_id": "20237348"}, {"ref": "aithammadiabdellatif/lux-ai-900-of-12x12", "kernel_id": "20480866"}, {"ref": "takemi/lux-ai-season-1-jupyter-notebook-tutorial", "kernel_id": "20888552"}, {"ref": "takemi/lux-ai-season-1-jupyter-notebook-quickstart", "kernel_id": "20886723"}, {"ref": "zacharyluscher/lux-ai-working-title-bot", "kernel_id": "20225872"}, {"ref": "nathankang/lux-ai-demo-helper-functions", "kernel_id": "20039578"}, {"ref": "isaacyong/delux-ai-zero", "kernel_id": "20287876"}, {"ref": "saadsikander/muhammad-saad-competetion-covid-19-impact-on-edu", "kernel_id": "20736700"}, {"ref": "kachimako/simple-agent", "kernel_id": "20581938"}, {"ref": "stefanschulmeister87/lux-ai-rule-based-agent", "kernel_id": "20378612"}, {"ref": "stefanschulmeister87/all-properties-and-methods-on-one-page", "kernel_id": "20552344"}, {"ref": "bachngoh/luxai-simple-reinforcement-learning", "kernel_id": "20170988"}, {"ref": "ironbar/select-agents-for-downloading-matches", "kernel_id": "21162797"}, {"ref": "benwang/luxai-ppo-cnn", "kernel_id": "21782332"}, {"ref": "fbozoglilanian/notebook-template-and-game-render", "kernel_id": "21142721"}, {"ref": "narendra/resource-statistics", "kernel_id": "21979893"}, {"ref": "narendra/luxai-survival-with-single-agent-convnet", "kernel_id": "21075629"}, {"ref": "valerich/lux-ai-2021-testing-rust-starter-kits", "kernel_id": "21151049"}, {"ref": "robga/submission-statistics-with-meta-kaggle", "kernel_id": "21531061"}, {"ref": "robga/one-million-seeds-with-map-sizes", "kernel_id": "21687611"}, {"ref": "filipinogambino/lux-ai-transformers", "kernel_id": "21867831"}, {"ref": "fanbyprinciple/lux-ai-beginner-running-sentdex-agent", "kernel_id": "21172234"}, {"ref": "willyam42/luxai-ppo", "kernel_id": "21650926"}, {"ref": "willyam42/luxai-dqn", "kernel_id": "21404724"}, {"ref": "a24998667/fast-lux-ai-with-il-cached-inputs", "kernel_id": "21319488"}, {"ref": "yuko1658/lux-ai-random-move", "kernel_id": "21659087"}, {"ref": "netstalker1337/lux-ai-season-1-jupyter-notebook-tutorial", "kernel_id": "21771242"}, {"ref": "stonet2000/lux-ai-2021-testing-new-non-python-starter-kits", "kernel_id": "21149912"}, {"ref": "kirderf/check-your-err-code", "kernel_id": "21072271"}, {"ref": "scottleroux/debug-timeout-issue", "kernel_id": "21182599"}, {"ref": "zacharyluscher/lux-ai-imitation-learning-keras", "kernel_id": "21553744"}, {"ref": "yalikesifulei/bot-statistics-with-selenium-beautiful-soup", "kernel_id": "21466875"}, {"ref": "yalikesifulei/fast-il-in-keras", "kernel_id": "21433313"}, {"ref": "adityasharma01/lux-ai-with-il-decreasing-learning-rate", "kernel_id": "21914154"}, {"ref": "dwight9339/rule-based-q-learning-agent", "kernel_id": "21019977"}, {"ref": "erikjergus/fin-lux-ai-project-ssy340", "kernel_id": "21445806"}, {"ref": "vitoque/lux-ai-with-il-decreasing-learning-rate", "kernel_id": "21922518"}, {"ref": "chenxinmao/il-why-the-name-cannot-exceed-50-characters", "kernel_id": "21934430"}, {"ref": "maulberto3/luxai-a-simple-rl-approach", "kernel_id": "22103346"}, {"ref": "maulberto3/luxai-maps-boards-simple-encoder", "kernel_id": "22214003"}, {"ref": "narendra/one-worker-multiple-cities-ppo", "kernel_id": "22267196"}, {"ref": "ivsiuliv/deep-ql", "kernel_id": "22934322"}, {"ref": "ivsiuliv/deep-q-learning", "kernel_id": "22382601"}, {"ref": "zaharch/bradley-terry-rating-system-for-kaggle-sim-comps", "kernel_id": "22719707"}, {"ref": "stonet2000/lux-ai-2021-data-pack", "kernel_id": "22923518"}, {"ref": "sai11fkaneko/lux-ai-off-policy", "kernel_id": "22721992"}, {"ref": "saraswatitiwari/lux-artificial-intelligence", "kernel_id": "22529663"}, {"ref": "teyosan1229/lux-ai-last-ensemble", "kernel_id": "22593529"}, {"ref": "youktinathbhowmick/random-game-map-for-lux-ai", "kernel_id": "22392971"}, {"ref": "abc67876/lux-ai-with-il-logic-dlr-e8c2aa", "kernel_id": "22427172"}, {"ref": "promtding/lux-ai-with-il-logic-dlr", "kernel_id": "22568649"}, {"ref": "bachngoh/luxai-unet-for-ctiles", "kernel_id": "22271239"}, {"ref": "bachngoh/lux-ai-il-ensemble-softmax-probability-lb-1300", "kernel_id": "22217791"}, {"ref": "bachngoh/luxai-unet-immitationlearning", "kernel_id": "22201045"}, {"ref": "bachngoh/50th-ish-ensemble-il-agents-hopefully-silver", "kernel_id": "22609482"}, {"ref": "kotguru/simple-agent", "kernel_id": "22482084"}, {"ref": "gaopengxuan/imitation-learning-decreaseinglearning", "kernel_id": "22349454"}, {"ref": "chenxinmao/lux-ai-save-training-data", "kernel_id": "22061491"}, {"ref": "alphonus/graph-based-reinforcement-learning", "kernel_id": "22119972"}, {"ref": "weixxyy/group11-project", "kernel_id": "22183845"}, {"ref": "cheremhinaelena/lux-ai-working-title-bot", "kernel_id": "22270473"}, {"ref": "abc67876/code-illustration", "kernel_id": "23410305"}, {"ref": "moonlight1337/lab34-koleznev-artem", "kernel_id": "23944959"}, {"ref": "devanshichhatbar/reinforcement-learning-a2c", "kernel_id": "50153465"}, {"ref": "arnavjain2710/luxai-survival-with-single-agent-convnet", "kernel_id": "50317108"}, {"ref": "bargavjagatha/final-code", "kernel_id": "52836222"}, {"ref": "ziechan/lux-ai-tensorflow-dqn", "kernel_id": "52059226"}, {"ref": "rawan31/rawan202001762", "kernel_id": "58402229"}, {"ref": "ankitsingh0756/maya-working-title-bot", "kernel_id": "62646180"}]}
{"competition_id": "30082", "kernels": [{"ref": "slerch/notebook-1", "kernel_id": "18868843"}, {"ref": "slerch/notebook-2", "kernel_id": "18869375"}, {"ref": "slerch/notebook-3", "kernel_id": "18870297"}]}
{"competition_id": "30084", "kernels": []}
{"competition_id": "30090", "kernels": []}
{"competition_id": "30091", "kernels": []}
{"competition_id": "30094", "kernels": []}
{"competition_id": "30103", "kernels": [{"ref": "gomes555/porto-seguro-r-an-lise-explorat-ria-dos-dados", "kernel_id": "19128445"}, {"ref": "gomes555/porto-seguro-sweetviz-sele-o-de-features", "kernel_id": "19272604"}, {"ref": "leomauro/classifica-o-porto-seguro-data-challenge", "kernel_id": "19129313"}, {"ref": "rapela/porto-seguro-data-challenge-tabnet", "kernel_id": "19920594"}, {"ref": "rapela/porto-seguro-data-challenge-nn-tensorflow", "kernel_id": "19892298"}, {"ref": "rapela/porto-seguro-data-challenge-nn-pytorch-optuna", "kernel_id": "19962471"}, {"ref": "brunovpm/porto-seguro-challenge", "kernel_id": "19652521"}, {"ref": "mcarujo/porto-seguro-data-challenge", "kernel_id": "19101075"}, {"ref": "denychaen/simple-full-starter", "kernel_id": "20068952"}, {"ref": "ggxgboostgg/porto-seguro-stacking-k-10", "kernel_id": "20194595"}, {"ref": "rapela/porto-seguro-data-challenge-hgbc-repeteadkf", "kernel_id": "20346580"}, {"ref": "felipefiorini/lgbm-baseline", "kernel_id": "20996842"}, {"ref": "gabrieltardochi/xgboost-tree-based-optimization-lr-decay", "kernel_id": "20159555"}, {"ref": "luiz23paulo/combina-o-de-classificadores-1-2", "kernel_id": "20960753"}, {"ref": "jonaspalucibarbosa/porto-seguro-xgboost-10seeds-avg-6th-place", "kernel_id": "20982811"}, {"ref": "joaopmpeinado/1st-place-lightgbm-0-7007-private", "kernel_id": "21000165"}, {"ref": "gomes555/3st-place-simplified-solution-0-6967-private", "kernel_id": "21667568"}]}
{"competition_id": "30106", "kernels": []}
{"competition_id": "30118", "kernels": []}
{"competition_id": "30120", "kernels": []}
{"competition_id": "30123", "kernels": []}
{"competition_id": "30127", "kernels": [{"ref": "snuplacements/samplenotebook", "kernel_id": "18830040"}, {"ref": "kartikeygargamazing/snu-placements-kartikey-garg", "kernel_id": "18843371"}]}
{"competition_id": "30129", "kernels": [{"ref": "abigupta/sample-notebook", "kernel_id": "18839582"}, {"ref": "prakharrathi25/prakhar-rathi", "kernel_id": "18842116"}, {"ref": "rafaelanjos/ohlcv-24h", "kernel_id": "18836827"}, {"ref": "ishitbeswal/snu-placements-ishit-beswal", "kernel_id": "18846089"}, {"ref": "kaustubhrai/snu-placements-kaustubh-rai", "kernel_id": "18843082"}, {"ref": "debanjalisaha/debanjalisaha", "kernel_id": "18842060"}, {"ref": "snuplacements/sample-notebook", "kernel_id": "18830523"}, {"ref": "saivinithayapilla/sai-vinith-ayapilla", "kernel_id": "18841875"}, {"ref": "anigaur/anirudh-gaur", "kernel_id": "18842152"}, {"ref": "narjisnaqviii/snu-placements-narjis-naqvi", "kernel_id": "18842455"}, {"ref": "adilgazder/snu-placements-adil-gazder", "kernel_id": "18841892"}, {"ref": "shivanshssgupta/snu-placements-shivansh-gupta", "kernel_id": "18842326"}, {"ref": "yasharma99/snu-placements-yash-sharma", "kernel_id": "18842090"}, {"ref": "kirtik4/kirtik-singh", "kernel_id": "18842199"}, {"ref": "sparshailawadi/sparshq1", "kernel_id": "18841974"}, {"ref": "kartikaysinhal/kartikay-sinhal", "kernel_id": "18842757"}, {"ref": "adityatomarcherry/aditya-tomar", "kernel_id": "18842097"}, {"ref": "kartikeygargamazing/snu-placements-kartikey-gar", "kernel_id": "18842114"}, {"ref": "salonisharma2105/showyourdataskills-saloni", "kernel_id": "18843130"}, {"ref": "mihirvipradas/snu-placements-mihir-vipradas", "kernel_id": "18842418"}, {"ref": "harshmeetahuja/snu-placements-harshmeet-ahuja", "kernel_id": "18844468"}]}
{"competition_id": "30133", "kernels": []}
{"competition_id": "30134", "kernels": []}
{"competition_id": "30139", "kernels": []}
{"competition_id": "30140", "kernels": [{"ref": "hadeerismail/diabetic-retinopathy-detection", "kernel_id": "44285077"}, {"ref": "ranahafezz/diabetic-retinopathy-classification-problem", "kernel_id": "44361168"}, {"ref": "zahraaalaatageldein/diabetic-retinopathy-functional-coding", "kernel_id": "47390804"}, {"ref": "alyusama/mobilevit-retina", "kernel_id": "55928588"}, {"ref": "killa92/diabetic-retinopathy-data-analysis-visualization", "kernel_id": "88108265"}]}
{"competition_id": "30143", "kernels": [{"ref": "ravjotsandhu/ds-lab-evaluation-mst", "kernel_id": "25346091"}, {"ref": "arunika1/101903559", "kernel_id": "25407951"}, {"ref": "arunika1/arunika-labeval1", "kernel_id": "25410532"}, {"ref": "kashishsingla12/101916088-kashish", "kernel_id": "25412249"}, {"ref": "iyuvraj/101903323", "kernel_id": "25411150"}]}
{"competition_id": "30150", "kernels": [{"ref": "profverri/converting-wide-output-to-long-submission", "kernel_id": "19102469"}, {"ref": "isonettv/converting-kddbr-2021-data-to-pytorch-files", "kernel_id": "21453115"}, {"ref": "isonettv/kdd-br-parana-solution", "kernel_id": "21459625"}]}
{"competition_id": "30164", "kernels": []}
{"competition_id": "30183", "kernels": []}
{"competition_id": "30186", "kernels": []}
{"competition_id": "30191", "kernels": []}
{"competition_id": "30193", "kernels": []}
{"competition_id": "30198", "kernels": [{"ref": "brassmonkey381/nfl-h-s-starter-notebook", "kernel_id": "19785398"}, {"ref": "aakashnain/what-about-additional-images", "kernel_id": "19515346"}, {"ref": "its7171/nfl-baseline-simple-helmet-mapping", "kernel_id": "19645309"}, {"ref": "robikscube/helper-code-helmet-mapping-deepsort", "kernel_id": "19880414"}, {"ref": "robikscube/simple-helmet-mapping-visualized", "kernel_id": "19764415"}, {"ref": "robikscube/nfl-helmet-assignment-getting-started-guide", "kernel_id": "19469527"}, {"ref": "ashutosh7/demystifying-nfl-data-eda", "kernel_id": "19913515"}, {"ref": "coldfir3/nfl-helmet-jpg-vs-png-vs-bmp", "kernel_id": "19963833"}, {"ref": "coldfir3/nfl-helmet-jpg-dataset-genrator", "kernel_id": "19962613"}, {"ref": "coldfir3/camera-tracking-matching-with-gradient-descent", "kernel_id": "19887302"}, {"ref": "coldfir3/eda-helmet-keypoint-tracking-data-comparison", "kernel_id": "19879966"}, {"ref": "coldfir3/image-tracking-matching-baseline", "kernel_id": "19919206"}, {"ref": "pranav2109/nfl-helmet-assignment-pytorch", "kernel_id": "19904825"}, {"ref": "akshatgupta2810/notebook11c927a5d8", "kernel_id": "19843140"}, {"ref": "asiekkinen/nfl-people-tracking-yolov5", "kernel_id": "19739112"}, {"ref": "go5kuramubon/merge-label-and-tracking-data", "kernel_id": "19541977"}, {"ref": "bamps53/create-coco-format-annotations", "kernel_id": "19561204"}, {"ref": "bamps53/evaluate-baseline-prediction", "kernel_id": "19563896"}, {"ref": "bamps53/create-image-dataset", "kernel_id": "19555470"}, {"ref": "bamps53/how-to-use-detectron2", "kernel_id": "19589176"}, {"ref": "bamps53/how-to-use-mmdetection", "kernel_id": "19587355"}, {"ref": "bamps53/create-coco-format-annotations-train-val", "kernel_id": "19587679"}, {"ref": "eneszvo/mmdet-cascadercnn-helmet-detection-for-beginners", "kernel_id": "19748743"}, {"ref": "eneszvo/mmdetection-player-tracking-for-beginners", "kernel_id": "19792441"}, {"ref": "ayuraj/train-nfl-extra-images-yolov5-with-w-b", "kernel_id": "19526777"}, {"ref": "s903124/nfl-helmet-with-yolov5-deepsort-starter", "kernel_id": "19510918"}, {"ref": "frlemarchand/helmet-detection-using-maskrcnn-w-o-downscaling", "kernel_id": "19475802"}, {"ref": "frlemarchand/nfl-jersey-number-recognition-to-track-players", "kernel_id": "19809475"}, {"ref": "mpwolke/nfl-helmets-pytorch", "kernel_id": "19969657"}, {"ref": "mpwolke/nfl-helmets-enhancing-safety", "kernel_id": "19916403"}, {"ref": "kausheeki01/the-mukherjee-nfl-helmet-assignment", "kernel_id": "19951141"}, {"ref": "kausheeki01/nfl-baseline-simple-helmet-mapping", "kernel_id": "19951691"}, {"ref": "kausheeki01/nfl-helper-code-helmet-mapping-deepsort", "kernel_id": "19974826"}, {"ref": "tchaye59/video-to-frames", "kernel_id": "19936974"}, {"ref": "denispotapov/convert-mp4-to-png-jpg-and-back", "kernel_id": "19499699"}, {"ref": "victorsullivan/nfl-health-safety-helmet-assignment", "kernel_id": "19843107"}, {"ref": "syerwin/update-helper-code-helmet-mapping-deepsort", "kernel_id": "19946891"}, {"ref": "profahmadhussein2010/nfl-baseline-simple-helmet-mapping", "kernel_id": "19790095"}, {"ref": "mrtoncsabademeter/nfl-safety-visualize-synchronous-data", "kernel_id": "19741015"}, {"ref": "finlay/tuning-deepsort-helmet-mapping", "kernel_id": "20229462"}, {"ref": "fletchersarip/nfl-helmet-assignment-extract-all-video-frames", "kernel_id": "20011790"}, {"ref": "minomonter/sub-team-aware-icp-sort-ghost-detect", "kernel_id": "20700540"}, {"ref": "minomonter/team-aware-icp-deepsort-ghost-detection", "kernel_id": "20432987"}, {"ref": "minomonter/pip-install-sort", "kernel_id": "20474967"}, {"ref": "vaslem/region-tracking-detection-deepsort", "kernel_id": "20819182"}, {"ref": "vaslem/stricter-region-tracking-deepsort-helmet-map", "kernel_id": "20894738"}, {"ref": "vaslem/helmet-mapping-revisited", "kernel_id": "20464537"}, {"ref": "coldfir3/jersey-number-detection-using-ocr", "kernel_id": "20558797"}, {"ref": "coldfir3/simple-eda-on-camera-rotations", "kernel_id": "20559159"}, {"ref": "coldfir3/5x-faster-helmet-mapping-deepsort", "kernel_id": "20190981"}, {"ref": "coldfir3/point-net-v0", "kernel_id": "20353770"}, {"ref": "pvtien96/helper-code-helmet-mapping-deepsort", "kernel_id": "20187154"}, {"ref": "pvtien96/tuning-deepsort-helmet-mapping-plus", "kernel_id": "20357689"}, {"ref": "bamps53/missing-tracking-data", "kernel_id": "20321946"}, {"ref": "bamps53/notebook-threw-exception", "kernel_id": "20847907"}, {"ref": "anhtu96/nfl-2021-helmet-detection", "kernel_id": "20623405"}, {"ref": "eneszvo/yolov5-helmet-detection-train-and-inference", "kernel_id": "20065918"}, {"ref": "jh8102/nfl-baseline-simple-helmet-mapping", "kernel_id": "20008638"}, {"ref": "what5up/map-n-track-34-place-solution", "kernel_id": "20179359"}, {"ref": "firefliesqn/tuning-deepsort-helmet-mapping", "kernel_id": "20186852"}, {"ref": "danielkrn/sideline-perspective-transformation-homography", "kernel_id": "20813523"}, {"ref": "kausheeki01/speed-up-simple-helmet-mapping-nfl", "kernel_id": "20507569"}, {"ref": "kausheeki01/5x-faster-helmet-mapping-with-deepsort", "kernel_id": "20484752"}, {"ref": "kausheeki01/tuning-deepsort-with-helmet-mapping", "kernel_id": "20475052"}, {"ref": "kausheeki01/nfl-jersey-number-recognition-to-track-players", "kernel_id": "20058165"}, {"ref": "kausheeki01/nfl-updated-helper-code-helmet-mapping-deepsort", "kernel_id": "20061186"}, {"ref": "riadalmadani/cnn-lstm-for-nfl", "kernel_id": "20161149"}, {"ref": "riadalmadani/clustring-team-players", "kernel_id": "20881680"}, {"ref": "illgamhoduck/nfl-starter-eda", "kernel_id": "20411009"}, {"ref": "columbia2131/speed-up-simple-helmet-mapping-nfl", "kernel_id": "20185118"}, {"ref": "ryotayoshinobu/submission-from-editor", "kernel_id": "20816937"}, {"ref": "drzhuzhe/error-visualization", "kernel_id": "20903472"}, {"ref": "jianghanhan/tuning-deepsort-helmet-mapping-high-score", "kernel_id": "20453497"}, {"ref": "jianghanhan/data-analysis-for-nfl-chinese-version", "kernel_id": "20485617"}, {"ref": "jinssaa/jersey-number-detection-using-ocr", "kernel_id": "20547939"}, {"ref": "jinssaa/sideline-perspective-transformation-homography", "kernel_id": "20027137"}, {"ref": "vaibhavrmankar/let-s-see-problem-and-eda", "kernel_id": "20709869"}, {"ref": "yurimacedo/deepsort-nfl", "kernel_id": "20665653"}, {"ref": "sardiirfansyah/tuning-deepsort-helmet-mapping", "kernel_id": "20493748"}, {"ref": "thbalaji/day-27", "kernel_id": "20361715"}, {"ref": "louisbunuel/nfl-assign-label-camera-orientation", "kernel_id": "20744024"}, {"ref": "ammarnassanalhajali/nfl-training-and-inference-yolov5", "kernel_id": "20321266"}, {"ref": "ammarnassanalhajali/training-nfl-extra-images-detectron2", "kernel_id": "20076567"}, {"ref": "zhuwanglju/tuning-deepsort-helmet-mapping-lucky", "kernel_id": "20493714"}, {"ref": "zhiyucheng/nfl-assign-label-camera-orientation", "kernel_id": "20980402"}, {"ref": "zhiyucheng/nfl-helmet-assignment-getting-started-guide", "kernel_id": "20819498"}, {"ref": "abdulkomarullah/explore-data-analysis-data-visualization-image", "kernel_id": "20800885"}, {"ref": "vipbook/nfl-bytetrack", "kernel_id": "20920805"}, {"ref": "adityasharma01/aditya-s-submission-in-tuning", "kernel_id": "20402404"}, {"ref": "youchenyue/nfl-nature", "kernel_id": "20612572"}, {"ref": "parikshitsharma2001/tuning-deepsort-helmet-mapping-high-score", "kernel_id": "20656173"}, {"ref": "syerwin/nfl-health-safety", "kernel_id": "20621152"}, {"ref": "kumudsingh9/nfl-health-and-safety-helmet", "kernel_id": "20894050"}, {"ref": "reubengjohnson/notebookbcf354e31c", "kernel_id": "20588109"}, {"ref": "yuqiangfeng96/tuning-deepsort-helmet-mapping", "kernel_id": "20464600"}, {"ref": "its7171/nfl-centernet", "kernel_id": "21966127"}, {"ref": "coldfir3/nfl-label-assignment", "kernel_id": "21020462"}, {"ref": "coldfir3/nfl-yolov5-wbf-deepsort-la", "kernel_id": "21045834"}, {"ref": "coldfir3/nfl-label-assignment-sweep", "kernel_id": "21108567"}, {"ref": "joaophellip/nfl-helmet-assignment", "kernel_id": "21297817"}, {"ref": "mrinalmathur/let-s-see-problem-and-eda", "kernel_id": "21001940"}, {"ref": "kiranscaria/exploring-the-dataset-nfl-helmet", "kernel_id": "21217795"}, {"ref": "alvinai9603/extract-jersey-colour-for-team-clustering", "kernel_id": "21344625"}, {"ref": "ttkagglett/61st-place-solution", "kernel_id": "21725023"}, {"ref": "ttkagglett/nfl-helmet-assignment-cnn-training", "kernel_id": "21297268"}, {"ref": "nvk777/how-to-use-detectron2", "kernel_id": "21440795"}, {"ref": "thehemen/nfl-camera-tracking-39th-place", "kernel_id": "21704055"}, {"ref": "stpeteishii/nfl-helmet-assignment-image-labels-view", "kernel_id": "21142167"}, {"ref": "zhangkaiyu/test-baseline-helmets-csv-autogenerated-deepsort", "kernel_id": "21378778"}, {"ref": "danielkrn/notebookfa07082406", "kernel_id": "21474390"}, {"ref": "ptran1203/fairmot-train", "kernel_id": "21074783"}, {"ref": "kmat2019/nfl-1stplace-inference", "kernel_id": "21739489"}, {"ref": "hiraiitsuki/nfl-ha-baseline", "kernel_id": "21946975"}, {"ref": "kausheeki01/tuning-deepsort-helmet-mapping-high-score", "kernel_id": "21538697"}, {"ref": "kausheeki01/kausheeki-s-submission-in-tuning", "kernel_id": "21538915"}, {"ref": "omargamal064/yolo-baseline-deepsort-with-match-n1-filldrope", "kernel_id": "21703739"}, {"ref": "riadalmadani/ensembling-became-easy-in-yolov5-deepsort", "kernel_id": "21113867"}, {"ref": "neginegu/mmdet-custom-deepsort", "kernel_id": "21069006"}, {"ref": "neginegu/simple-mapping-tuning-deepsort", "kernel_id": "21462425"}, {"ref": "ajinkxa/data-tour-for-the-beginners", "kernel_id": "21190922"}, {"ref": "guohansheng/mmdet-deepsort", "kernel_id": "21311124"}, {"ref": "duythanhng/nfl-yolov5-deepsort-pytorch-guide", "kernel_id": "21337603"}, {"ref": "duythanhng/nfl-helmet-with-yolov5-deepsort-starter", "kernel_id": "21246281"}, {"ref": "duythanhng/yolov5-v6-0-helmet-detection", "kernel_id": "21225598"}, {"ref": "abdulkadirguner/fork-of-notebook3fa3dad75c-de4893", "kernel_id": "21543345"}, {"ref": "zhiyucheng/nfl-competition-1", "kernel_id": "21039592"}, {"ref": "zhiyucheng/notebookc550cf94de", "kernel_id": "21195358"}, {"ref": "adityasharma01/tuning-deepsort-helmet-mapping-high-scores", "kernel_id": "21014522"}, {"ref": "aymardebergeyck/deepsort", "kernel_id": "21570883"}, {"ref": "hritikchhangani/nfl-helmet-prediction-eda", "kernel_id": "21005644"}, {"ref": "allanyiin/nfl-health-safety-baseline", "kernel_id": "22772619"}, {"ref": "allanyiin/nfl-health-safety-model", "kernel_id": "22776601"}, {"ref": "mrinalmathur/fork-of-how-to-use-detectron2", "kernel_id": "22275625"}, {"ref": "nicolas318/first-solution", "kernel_id": "22702397"}, {"ref": "bhojrajthapa/cs460g-projectnfl", "kernel_id": "22523361"}, {"ref": "vikrantrajput/nfl-jersey-number-recognition-to-track-players", "kernel_id": "27420550"}, {"ref": "leehaedeun/nfl-jersey-number-recognition-to-track-players", "kernel_id": "33244801"}, {"ref": "sudhanshukuthe/nfl-jersey-number-recognition-test", "kernel_id": "45465675"}, {"ref": "trnaacthng/yolov5-nfl", "kernel_id": "49496896"}, {"ref": "lokanadam/yolov5-helmet-detection-train-and-inference", "kernel_id": "50951415"}, {"ref": "liuweiq/helmet", "kernel_id": "56321222"}, {"ref": "harshitjais14/tuning-deepsort-helmet-mapping", "kernel_id": "64621098"}, {"ref": "linheshen/deepsort-0", "kernel_id": "75549075"}, {"ref": "akbkck101/mmdetection", "kernel_id": "82809681"}, {"ref": "ruhul20/nfl-health-safety-helmet-detection-yolo11", "kernel_id": "97980409"}]}
{"competition_id": "30200", "kernels": [{"ref": "alizesevgistudent/notebook7294d40583", "kernel_id": "19966244"}]}
{"competition_id": "30201", "kernels": [{"ref": "konradb/validate-submit", "kernel_id": "21671692"}, {"ref": "rijuvaish/cell-segmentation-starter", "kernel_id": "21494364"}, {"ref": "ctawong/cell-instance-segmentation-detectron2-mask-rcnn", "kernel_id": "21533863"}, {"ref": "kontoudi/reproducing-sartorius-results-on-centermask2", "kernel_id": "21814863"}, {"ref": "abhishandy/visualizing-annotations", "kernel_id": "21604692"}, {"ref": "kriyeng/evaluate-26-pretrained-models-to-split-the-problem", "kernel_id": "21814792"}, {"ref": "aramos/sartorius-training-segmentationmodels-library", "kernel_id": "21855765"}, {"ref": "aramos/sartorius-competition-training-keras-unet", "kernel_id": "21540706"}, {"ref": "tolgadincer/sartorius-eda-general-overview-and-outliers", "kernel_id": "21772103"}, {"ref": "rluethy/sartorius-torch-mask-r-cnn", "kernel_id": "21452542"}, {"ref": "vgarshin/detectron2-inference-with-ensemble-and-nms", "kernel_id": "21896926"}, {"ref": "anubhav1302/cell-segmentation-eda", "kernel_id": "21250742"}, {"ref": "coldfir3/efficient-coco-dataset-generator", "kernel_id": "21763370"}, {"ref": "coldfir3/cell-type-classification-w-fastai", "kernel_id": "21989413"}, {"ref": "julian3833/sartorius-classifier-mask-r-cnn-lb-0-28", "kernel_id": "21461715"}, {"ref": "julian3833/sartorius-3-line-overlap-removing-function", "kernel_id": "21356051"}, {"ref": "julian3833/sartorius-starter-torch-mask-r-cnn-lb-0-273", "kernel_id": "21348305"}, {"ref": "julian3833/sartorius-resnet34-classifier", "kernel_id": "21329526"}, {"ref": "julian3833/sartorius-starter-baseline-torch-u-net-0-0", "kernel_id": "21287433"}, {"ref": "wsmonroe/load-and-vis-sartorious-livecell-data", "kernel_id": "21690681"}, {"ref": "theudas/dataloader-starter-fit-all-masks-into-memory", "kernel_id": "21291427"}, {"ref": "ihelon/cell-segmentation-run-length-decoding", "kernel_id": "21241763"}, {"ref": "namgalielei/which-reshape-is-used-in-rle", "kernel_id": "21309933"}, {"ref": "dschettler8845/train-sartorius-segmentation-eda-effdet-tf", "kernel_id": "21241846"}, {"ref": "dschettler8845/sartorius-segmentation-mask-dataset", "kernel_id": "21242784"}, {"ref": "dschettler8845/open-npz", "kernel_id": "21262653"}, {"ref": "ppjanka/2021-sartorius-neuronsegmentation", "kernel_id": "21825434"}, {"ref": "npitsillos/unet-efficientnet-b0-train", "kernel_id": "21382587"}, {"ref": "npitsillos/mask-rcnn-w-resnetv2-50-train", "kernel_id": "21770516"}, {"ref": "evangelou/sartorius-unet-pytorch-from-scratch", "kernel_id": "21766321"}, {"ref": "hamditarek/sartorius-cell-instance-segmentation-detectron2", "kernel_id": "21275031"}, {"ref": "arunamenon/cell-instance-segmentation-unet-eda", "kernel_id": "21282326"}, {"ref": "arunamenon/cell-instance-segmentation-only-inference", "kernel_id": "21284786"}, {"ref": "yoshimoto0921/sartorius-starter-torch-mask-r-cnn", "kernel_id": "21843499"}, {"ref": "ipythonx/tf-hybrid-efficientnet-swin-transformer-gradcam", "kernel_id": "21320383"}, {"ref": "jaideepvalani/cv-strategy-stratified-by-masks-sum", "kernel_id": "21965415"}, {"ref": "slawekbiel/positive-score-with-detectron-1-3-input-data", "kernel_id": "21375723"}, {"ref": "slawekbiel/positive-score-with-detectron-2-3-training", "kernel_id": "21376425"}, {"ref": "slawekbiel/positive-score-with-detectron-3-3-inference", "kernel_id": "21354883"}, {"ref": "slawekbiel/validation-score-example", "kernel_id": "21792204"}, {"ref": "theoviel/competition-metric-map-iou", "kernel_id": "21372155"}, {"ref": "ayuraj/sartorius-instance-mask-viz-with-w-b", "kernel_id": "21323106"}, {"ref": "mahmudds/sartorius-cell-instance-segmentation", "kernel_id": "21391736"}, {"ref": "nxhong93/sartorius-cell-eda", "kernel_id": "21270989"}, {"ref": "susnato/understanding-run-length-encoding-and-decoding", "kernel_id": "21280763"}, {"ref": "susnato/sartorius-segmentation-mask-rcnn-tf-inference", "kernel_id": "21426231"}, {"ref": "susnato/sartorius-segmentation-mask-rcnn-tf-train", "kernel_id": "21404672"}, {"ref": "stpeteishii/cell-instance-classify-densenet201", "kernel_id": "21643578"}, {"ref": "stpeteishii/cell-instance-visualize-annotation", "kernel_id": "21662560"}, {"ref": "stpeteishii/run-length-encoding-annotation-data-to-mask-image", "kernel_id": "21955475"}, {"ref": "qq1623620766/positive-score-with-detectron-3-3-infere", "kernel_id": "21684943"}, {"ref": "qq1623620766/positive-score-with-detectron-3-3-inferen-5a2cd8", "kernel_id": "21678457"}, {"ref": "qq1623620766/sartorius-torch-mask-r-cnn", "kernel_id": "21749941"}, {"ref": "qq1623620766/sartorius-mmdetection-infer", "kernel_id": "21732068"}, {"ref": "qq1623620766/sartorius-starter-torch-mask-r-cnn-lb-0-273", "kernel_id": "21607546"}, {"ref": "qq1623620766/asdef45236747632", "kernel_id": "21838264"}, {"ref": "gunesevitan/sartorius-cell-instance-segmentation-inference", "kernel_id": "21613426"}, {"ref": "gunesevitan/sartorius-cell-instance-segmentation-eda", "kernel_id": "21257659"}, {"ref": "alibaba19/sartorius-segmentation-fastai-starter", "kernel_id": "21241206"}, {"ref": "sifatshikdar/run-length-decoding-the-masks", "kernel_id": "21978570"}, {"ref": "mistag/sartorius-cell-shape-analysis", "kernel_id": "21823805"}, {"ref": "mistag/detectron2-download-code-for-offline-install-ii", "kernel_id": "21792240"}, {"ref": "mistag/pred-sartorius-detectron2-centermask2", "kernel_id": "21407711"}, {"ref": "mistag/sartorius-create-coco-annotations", "kernel_id": "21354065"}, {"ref": "mistag/train-sartorius-detectron2-centermask2", "kernel_id": "21381909"}, {"ref": "mistag/detectron2-download-code-for-offline-installation", "kernel_id": "21379549"}, {"ref": "mistag/sartorius-create-tpu-compatible-tf-dataset", "kernel_id": "21276968"}, {"ref": "mistag/sartorius-create-mask-dataset", "kernel_id": "21273027"}, {"ref": "carnozhao/cell-submission-ensemble", "kernel_id": "21386914"}, {"ref": "domizianostingi/plot-image-with-cells", "kernel_id": "21811999"}, {"ref": "barteksadlej123/sartors-tf-starter", "kernel_id": "21272969"}, {"ref": "drcapa/sartorius-starter", "kernel_id": "21241490"}, {"ref": "timmate/train-sartorius-segmentation-just-plotting", "kernel_id": "21812702"}, {"ref": "awsaf49/sartorius-mmdetection-train", "kernel_id": "21324123"}, {"ref": "awsaf49/sartorius-mmdetection-infer", "kernel_id": "21326606"}, {"ref": "awsaf49/sartorius-fix-overlap", "kernel_id": "21369962"}, {"ref": "awsaf49/pytorch-sartorius-unet-strikes-back-train", "kernel_id": "21831349"}, {"ref": "awsaf49/pytorch-sartorius-unet-strikes-back-infer", "kernel_id": "21859706"}, {"ref": "soumya9977/sartorious-nb-1-data-preprocessing-visualization", "kernel_id": "21449497"}, {"ref": "soumya9977/residual-unet-with-attention-eda-tta-w-b", "kernel_id": "21597018"}, {"ref": "frozenwolf/sartorius-visualization-training-u-net", "kernel_id": "21431106"}, {"ref": "frozenwolf/sartorius-visualization-training-maskr-cnn", "kernel_id": "21419994"}, {"ref": "bibhash123/cis-a-glance-at-the-data", "kernel_id": "21269056"}, {"ref": "tankmitesh/data-overview", "kernel_id": "21453923"}, {"ref": "amritpal333/choosing-augmentations-for-cell-segmentation", "kernel_id": "21298598"}, {"ref": "saraswatitiwari/sartorius-cell-instance-segmentation", "kernel_id": "21247426"}, {"ref": "xinruizhan/save-seg-image", "kernel_id": "21479895"}, {"ref": "tensorchoko/sartorius-cell-eda-for-beginner-jp-en", "kernel_id": "21285308"}, {"ref": "nullyousee/data-view", "kernel_id": "21364285"}, {"ref": "arminajdehnia/annotate-cell-instance-segmentaion", "kernel_id": "21390427"}, {"ref": "karan23258/cell-instance-segmentation-unetfromscratch", "kernel_id": "21820817"}, {"ref": "markwijkhuizen/sartorius-preprocessing-kfolds-public", "kernel_id": "21326764"}, {"ref": "markwijkhuizen/sartorius-training-upsampling-tf-public", "kernel_id": "21326884"}, {"ref": "zekun98/sartorius-torch-mask-r-cnn", "kernel_id": "21754582"}, {"ref": "zekun98/sartorius-torch-mask-r-cnn-more", "kernel_id": "21785669"}, {"ref": "dragonzhang/positive-score-with-detectron-3-3-inference", "kernel_id": "21387723"}, {"ref": "ishandutta/sartorius-complete-unet-understanding", "kernel_id": "21687419"}, {"ref": "ishandutta/sartorius-indepth-eda-explanation-model", "kernel_id": "21319976"}, {"ref": "kaitohonda/beginner-starter", "kernel_id": "21243712"}, {"ref": "tangjq/detectron-3-3-inferen", "kernel_id": "21936150"}, {"ref": "tangjq/detectron-2-3-training", "kernel_id": "21936190"}, {"ref": "tangjq/detectron-1-3-input-data", "kernel_id": "21936206"}, {"ref": "mmattson/first-glance-at-data", "kernel_id": "21793543"}, {"ref": "jirkaborovec/cell-instance-segm-eda-interactive-browsing", "kernel_id": "21276408"}, {"ref": "jirkaborovec/cell-instance-segm-lightning-flash", "kernel_id": "21382348"}, {"ref": "jirkaborovec/cell-instance-segm-pt-lightning", "kernel_id": "21256185"}, {"ref": "drtausamaru/efnetb0-unet-inference", "kernel_id": "21829609"}, {"ref": "zaopolearning/maskrcnn-basemodel", "kernel_id": "21578810"}, {"ref": "yoshikuwano/classified-by-cell-types-before-segmentation-1-2", "kernel_id": "21926899"}, {"ref": "yoshikuwano/classified-by-cell-types-before-segmentation-2-2", "kernel_id": "21956423"}, {"ref": "yoshikuwano/sartorius-tf-train-tfrecords", "kernel_id": "21748445"}, {"ref": "yoshikuwano/sartorius-tf-predict-tfrecords", "kernel_id": "21755356"}, {"ref": "francescvivpascual/livecelldataset-loading", "kernel_id": "21916975"}, {"ref": "kavehshahhosseini/sartorius-convert-images-and-masks-to-tfrecord", "kernel_id": "21661455"}, {"ref": "zekunn/positive-score-with-detectron-3-3-inferen-class", "kernel_id": "21682605"}, {"ref": "zekunn/sartorius-mmdetection-infer-why-i-get-zero", "kernel_id": "21713140"}, {"ref": "vishalsharma1996/mask-rcnn-training-tf", "kernel_id": "21953505"}, {"ref": "kurokia/semantic-segmentation-by-pspnet-infer", "kernel_id": "21848005"}, {"ref": "kurokia/semantic-segmentation-by-pspnet-train", "kernel_id": "21845326"}, {"ref": "robertlangdonvinci/sartorius-cell-segmentation-data-gen", "kernel_id": "21293739"}, {"ref": "yvtsanlevy/data-overview", "kernel_id": "21758898"}, {"ref": "hiroshisakiyama/yet-another-data-exploration", "kernel_id": "21279867"}, {"ref": "ammarnassanalhajali/sartorius-segmentation-keras-u-net-training", "kernel_id": "21255668"}, {"ref": "ammarnassanalhajali/sartorius-segmentation-detectron2-training", "kernel_id": "21286985"}, {"ref": "ammarnassanalhajali/sartorius-segmentation-keras-u-net-inference", "kernel_id": "21268757"}, {"ref": "ammarnassanalhajali/sartorius-segmentation-detectron2-inference", "kernel_id": "21394863"}, {"ref": "ammarnassanalhajali/k-fold-crossvalidation-coco-dataset-generator", "kernel_id": "21931500"}, {"ref": "evancofsky/sartorius-torch-lightning-mask-r-cnn", "kernel_id": "21381446"}, {"ref": "cuimdi/fork-of-positive-score-with-detectron-3-3-infere", "kernel_id": "21461592"}, {"ref": "sudipg411/eda-visualisation-efficientnetb7", "kernel_id": "21327815"}, {"ref": "slavkoprytula/robust-augmentation-for-mask-rcnn", "kernel_id": "21943013"}, {"ref": "slavkoprytula/mask-correction-mask-filtering-updated", "kernel_id": "21932491"}, {"ref": "slavkoprytula/efficientnet-classification-semi-supervised", "kernel_id": "21647323"}, {"ref": "mohamedbakrey/using-segmentation-for-sci-and-using-unet", "kernel_id": "21568044"}, {"ref": "nadirhanahin/sartorius-cell-instance-segmentation", "kernel_id": "21870941"}, {"ref": "craigwickizer/sartorius-generate-masks-as-npy", "kernel_id": "21262703"}, {"ref": "junglecat2021/create-coco-dataset", "kernel_id": "21333589"}, {"ref": "kfk42kfk/train-sartorius-fpn-effnetb3-ns-baseline", "kernel_id": "21353305"}, {"ref": "vexxingbanana/sartorius-coco-dataset-notebook", "kernel_id": "21300841"}, {"ref": "vexxingbanana/mmdetection-neuron-inference", "kernel_id": "21448110"}, {"ref": "vexxingbanana/sartorius-mmdetection-training", "kernel_id": "21263191"}, {"ref": "rhythmcam/numpy-basic-split-reshape", "kernel_id": "21950098"}, {"ref": "huchlatymon/tf-deep-residual-unet-with-attention-train", "kernel_id": "21813024"}, {"ref": "shivansh002/getting-started", "kernel_id": "21568946"}, {"ref": "dylandehili/sartorus-1-trecord-dcnn", "kernel_id": "21616568"}, {"ref": "linrds/convert-rle-to-polygons", "kernel_id": "21681582"}, {"ref": "bhargav6031/run-length-decoding-function-beginners", "kernel_id": "21275903"}, {"ref": "profahmadhussein2010/positive-score-with-detectron-3-3-inference", "kernel_id": "21526273"}, {"ref": "ferrariic/cell-image-segmentation", "kernel_id": "21441140"}, {"ref": "emirhanai/cell-instance-segmentation-deep-learning-project", "kernel_id": "21411104"}, {"ref": "ivoflorinscheiber/unetfromscratch-mypostpro", "kernel_id": "21930181"}, {"ref": "aiheling/sartorius-unet-pytorch-from-scratch", "kernel_id": "21850531"}, {"ref": "sohom17dey/sartorius-convert-rle-to-mask", "kernel_id": "21268637"}, {"ref": "valeriawillam/sartorius-segmentation-detectron2-inference", "kernel_id": "21423199"}, {"ref": "superant/cell-make-masks", "kernel_id": "22412425"}, {"ref": "superant/simple-nn-segmentation", "kernel_id": "22413633"}, {"ref": "hengck23/coloring-network-for-instance-segmentation", "kernel_id": "22521138"}, {"ref": "hengck23/split-adjoining-cell-into-subsets-of-non-touching", "kernel_id": "22498894"}, {"ref": "shir0mani/xai-cell-classification-lime", "kernel_id": "22743005"}, {"ref": "tiandaye/sartorius-inference", "kernel_id": "22265464"}, {"ref": "tiandaye/sartorius-mask-rcnn-trian-eval-pytorch", "kernel_id": "22253282"}, {"ref": "tiandaye/infer-sartorius-maskrcnn-pytorch", "kernel_id": "22225092"}, {"ref": "ren4yu/sartorius-automatically-finding-broken-masks", "kernel_id": "22241406"}, {"ref": "blankaf/sartorius-inference", "kernel_id": "22333608"}, {"ref": "vsedelnik/order-of-instances-in-metric-submission", "kernel_id": "22108519"}, {"ref": "trushk/mmdetection-custom-eval-script", "kernel_id": "22499647"}, {"ref": "rednikotin/duplicates-sartorius", "kernel_id": "22271179"}, {"ref": "aktaruzzaman/detectron2-inference-scis", "kernel_id": "22195508"}, {"ref": "ethon543/cell-types-classifier-swin", "kernel_id": "22330194"}, {"ref": "ethon543/sartorius-starter-torch-mask-r-cnn-lb-9af9e2", "kernel_id": "22477268"}, {"ref": "vladimirsydor/mmdetection-neuron-inference", "kernel_id": "22590510"}, {"ref": "plumeria/quick-start-sartorius", "kernel_id": "22921420"}, {"ref": "ks2019/cellpose-training-pipeline", "kernel_id": "22970234"}, {"ref": "slawekbiel/cellpose-inference-307-lb", "kernel_id": "22536045"}, {"ref": "slawekbiel/broken-mask-example", "kernel_id": "22085492"}, {"ref": "ebinan92/unet-with-deep-watershed-transform-dwt-infer", "kernel_id": "22324821"}, {"ref": "ebinan92/unet-with-deep-watershed-transform-dwt-train", "kernel_id": "22294990"}, {"ref": "hsadeghian/sartorius-detectron-training-w-b", "kernel_id": "22037112"}, {"ref": "stpeteishii/cell-instance-segmentation-unet", "kernel_id": "22396206"}, {"ref": "stpeteishii/instance-segmentation-fix-overlap-before-after", "kernel_id": "22424742"}, {"ref": "iusami/celltype-classification", "kernel_id": "22735853"}, {"ref": "anastasiiaselezen/updated-cell-instance-segmentation-pytorch", "kernel_id": "22041480"}, {"ref": "simay24/notebook-satorius", "kernel_id": "22174017"}, {"ref": "rachanabisht/beginner-s-guide-to-working-on-cell-images", "kernel_id": "22858810"}, {"ref": "xanjay/evaluate-using-competition-map-metric", "kernel_id": "22772379"}, {"ref": "manikyab/cell-segmentation-using-3-mask-r-cnns-and-resnet18", "kernel_id": "22788216"}, {"ref": "manikyab/cell-classification-helper-notebook", "kernel_id": "22815043"}, {"ref": "manikyab/cell-classification-captum-interpretation", "kernel_id": "22830681"}, {"ref": "mistag/sartorius-tta-with-weighted-segments-fusion", "kernel_id": "22273956"}, {"ref": "carnozhao/cell-submission", "kernel_id": "22298557"}, {"ref": "minfa1207/segmentation-with-unet-training", "kernel_id": "22464418"}, {"ref": "arcsinx/sartorius-starter-torch-mask-r-cnn-lb-0-273", "kernel_id": "22912505"}, {"ref": "b3d1rhan/sartorious", "kernel_id": "22221706"}, {"ref": "endrol/mask-rcnn", "kernel_id": "22526380"}, {"ref": "as200188/sartorius-starter-torch-mask-r-cnn-lb-0-273", "kernel_id": "22879266"}, {"ref": "apparition/train-of-torch-mask-rcnn-square-augs", "kernel_id": "22112613"}, {"ref": "arunpurakkatt/generating-masks-from-encoded-pixels", "kernel_id": "22771054"}, {"ref": "ehan12/positive-score-with-detectron-2-3-training", "kernel_id": "22421147"}, {"ref": "ehan12/classifier", "kernel_id": "22421349"}, {"ref": "zouxinrui/datase-eda", "kernel_id": "22389299"}, {"ref": "zouxinrui/sartorius-cell-instance-segmentation-pyt-19d48f", "kernel_id": "22650585"}, {"ref": "monikabozhinova/livecell-shsy5y-coco-dataset", "kernel_id": "22045717"}, {"ref": "arunmohan003/inference-cell-segmentation", "kernel_id": "22439732"}, {"ref": "arunmohan003/eda-tf-unet-baseline-cell-instance-segmentation", "kernel_id": "22183107"}, {"ref": "harshwalia/sartorius-learn-implementation-guide-for-maskrcnn", "kernel_id": "22506516"}, {"ref": "jianghuayu/pytorch-mask-rcnn", "kernel_id": "22448599"}, {"ref": "jianghuayu/sartorius-starter-torch-mask-r-cnn-lb-841402", "kernel_id": "22429251"}, {"ref": "deeeeeeeplearning/fork-of-mmdetection-neuron-inference-dddf41", "kernel_id": "22665830"}, {"ref": "drzhuzhe/sartorius-eda", "kernel_id": "22227263"}, {"ref": "drzhuzhe/sartorius-kfold-coco", "kernel_id": "22403743"}, {"ref": "drzhuzhe/map-iou-0-26-efficientnetv2-hacked-detectron2", "kernel_id": "22511712"}, {"ref": "drzhuzhe/wip-pytorch-efficienetv2-fpn", "kernel_id": "22488993"}, {"ref": "andreashorlbeck/sartorius-cell-type-image-classification-tf", "kernel_id": "22304047"}, {"ref": "andreashorlbeck/sartorius-run-length-endecoding", "kernel_id": "22963263"}, {"ref": "markwijkhuizen/sartorius-mask-rcnn-efficientnetv2-inference", "kernel_id": "22166632"}, {"ref": "markwijkhuizen/sartorius-mask-rcnn-efficientnetv2-train-2h", "kernel_id": "22166633"}, {"ref": "markwijkhuizen/sartorius-custom-mask-rcnn-livecell-pretraining", "kernel_id": "22729615"}, {"ref": "albertozorzetto/sartorius-cell-segmentation-deeplabv3-training", "kernel_id": "22732394"}, {"ref": "albertozorzetto/sartorius-cell-segmentation-deeplabv3-inference", "kernel_id": "22887853"}, {"ref": "noirchannel/unet-on-splitting-data", "kernel_id": "22596822"}, {"ref": "ferlockx/best-transfer-100k", "kernel_id": "22642938"}, {"ref": "ferlockx/validation-score-for-multiple-files", "kernel_id": "22608896"}, {"ref": "ferlockx/sartorius-cell-segmentation-bronze-inference", "kernel_id": "22358587"}, {"ref": "israrahmed919/unet-on-splitting-data", "kernel_id": "22814229"}, {"ref": "guohey/ensemble-nmw-guo-d29a99", "kernel_id": "22997187"}, {"ref": "ehabibrahim758/notebookec92170004", "kernel_id": "22329343"}, {"ref": "rahulbhimani/model-for-tensorflow-competition-using-pytorch", "kernel_id": "22307323"}, {"ref": "markunys/sartorius-transfer-learning-train", "kernel_id": "22502215"}, {"ref": "markunys/sartorius-transfer-learning-inference", "kernel_id": "22501915"}, {"ref": "markunys/sartorius-transfer-learning-train-with-livecell", "kernel_id": "22501011"}, {"ref": "muhammadammarjamshed/celllysis", "kernel_id": "22133178"}, {"ref": "myeongwonkim/mask-rcnn-training-using-detectron2", "kernel_id": "22270127"}, {"ref": "virajkadam/sartorius-cell-instance-segmentation-infer", "kernel_id": "22810320"}, {"ref": "virajkadam/sartorius-cell-segmentation-using-detectron2-tr", "kernel_id": "22725296"}, {"ref": "kirtankanani/notebookec5985f10c", "kernel_id": "22450737"}, {"ref": "kevin1742064161/create-singleclass-coco-stratifiedgroupkfold", "kernel_id": "22055699"}, {"ref": "vishalsharma1996/inference-mask-rcnn", "kernel_id": "22128036"}, {"ref": "robertlangdonvinci/fastai-sartorius-cell-end-to-end-solution-hatke", "kernel_id": "22139430"}, {"ref": "dylanliuofficial/sartorius-segmentation-detectron2-diagnosis", "kernel_id": "22550727"}, {"ref": "denispotapov/cutmix-augmentation", "kernel_id": "22202606"}, {"ref": "ammarnassanalhajali/ensemble-non-maximum-weighed-detectron2-infer", "kernel_id": "22912574"}, {"ref": "ammarnassanalhajali/ensemble-non-maximum-supp-detectron2-inference", "kernel_id": "22135899"}, {"ref": "pauldark/sartorius-cell-segmentation-u-net-comb-loss", "kernel_id": "22548090"}, {"ref": "vuvandinh/unet-train", "kernel_id": "22167965"}, {"ref": "mariazhokhova/sartorius-image-segmentation-with-u-net-tf", "kernel_id": "22828055"}, {"ref": "mhmdsyed/image-processing-cell-instance", "kernel_id": "22552286"}, {"ref": "adrynh/sartorius-training-data-image-manipulation", "kernel_id": "22567377"}, {"ref": "slavkoprytula/detectron2-copy-paste-augmentation", "kernel_id": "22860130"}, {"ref": "mohamedbakrey/using-u-net-for-sartorius-segmentation", "kernel_id": "22049050"}, {"ref": "ghadiyaayush/sartorius-segmentation-attention-unet-with-keras", "kernel_id": "22329729"}, {"ref": "jyprojs/sartorius-torch-mask-r-cnn", "kernel_id": "22365137"}, {"ref": "manjushabijunair/cell-segmentation-maskrcnn-implementation", "kernel_id": "22935307"}, {"ref": "mariapodguzova/semantic-segmentation", "kernel_id": "22121532"}, {"ref": "wushaodong/sartorius-mmdet-train", "kernel_id": "22322293"}, {"ref": "junhyeok99/256x-tfrecords-with-stratifiedkfold", "kernel_id": "22001460"}, {"ref": "pavlohilei/notebook84ae01b260", "kernel_id": "22751588"}, {"ref": "aishikai/scs-mmdet-train-swin", "kernel_id": "22871009"}, {"ref": "pasanjayaweera/cell-segmentation-unet-tensorflow-simplified", "kernel_id": "22166038"}, {"ref": "mingxuanche/sartorius-cell-instance-segmentation-pyt-19d48f", "kernel_id": "22660850"}, {"ref": "mingxuanche/sartorius-cell-instance-segmentation-pytorch", "kernel_id": "22248085"}, {"ref": "hongchaoshu/sartorius-cell-instance-segmentation-pyt-19d48f", "kernel_id": "22773073"}, {"ref": "krzysztofwolk/sartorius-segmentation-mask-rcnn-tf-train", "kernel_id": "22190755"}, {"ref": "jibgegege/seg-cell2", "kernel_id": "22506948"}, {"ref": "sentinel1/sartorius-torch-mask-r-cnn", "kernel_id": "22515202"}, {"ref": "shenjinhuang/mm-inference-self", "kernel_id": "22086288"}, {"ref": "fortelean/get-clean-masks", "kernel_id": "22813471"}, {"ref": "fortelean/shsy5y-inference-just-for-visualization", "kernel_id": "22252992"}, {"ref": "gengluoli/detectron2-inference-with-ensemble-and-nms-e9fd49", "kernel_id": "22330225"}, {"ref": "persistentprogrammer/1-cell-instance-segmentation-data-processing", "kernel_id": "22996336"}, {"ref": "tianshuo42/inference-and-submission", "kernel_id": "22858190"}, {"ref": "tianshuo42/inference-unet", "kernel_id": "22910529"}, {"ref": "afzal1232981/pytorch-sartorius-unet-strikes-back-train", "kernel_id": "22699257"}, {"ref": "exiaoseiei/sartorius-cell", "kernel_id": "22238447"}, {"ref": "orlevy11/orf-sartorius-seg", "kernel_id": "22581644"}, {"ref": "zzhnku/mmdetection-neuron-inference-nms-improvement", "kernel_id": "22573553"}, {"ref": "kisakitetta/sartorius-kfold-coco", "kernel_id": "22368114"}, {"ref": "carlosgut/sartorius-complete-from-eda-to-submit-unet", "kernel_id": "22554047"}, {"ref": "carlosgut/sartorius-simple-cnn-keras", "kernel_id": "22827425"}, {"ref": "ishwaryakasu6/cellsegmentationunet", "kernel_id": "22820527"}, {"ref": "ishwaryakasu6/notebookunet-draft1", "kernel_id": "22764696"}, {"ref": "qilongchen/unet-with-deep-watershed-transform-dwt-train", "kernel_id": "22672390"}, {"ref": "testforflb/inference-unet", "kernel_id": "22875922"}, {"ref": "juhha1/simple-model-development-using-monai", "kernel_id": "23958308"}, {"ref": "fergusfindley/tpsjan22-eda-baseline-train-submission", "kernel_id": "23469003"}, {"ref": "namgalielei/maskrcnn-v21-v16-ensemble-stage2catboost", "kernel_id": "23450108"}, {"ref": "theoviel/sartorius-inference-final", "kernel_id": "23111040"}, {"ref": "fqpang/detectron2-download-code-for-offline-installation", "kernel_id": "23789573"}, {"ref": "beatwad/ensemble-x152-resnest-swint-tuned", "kernel_id": "23394945"}, {"ref": "awsaf49/sartorious-biomed-project-fixed", "kernel_id": "23787263"}, {"ref": "awsaf49/sartorius-coco-data", "kernel_id": "23450578"}, {"ref": "omargamal064/cellpose-inference2", "kernel_id": "23299295"}, {"ref": "omargamal064/sep-classes", "kernel_id": "23132971"}, {"ref": "hideyukizushi/scis-inf-mmdetection-detectors-exp801-329-344", "kernel_id": "23022589"}, {"ref": "ehabibrahim758/detectron2-final-train-notebook-fold-2-x101-fpn", "kernel_id": "23425052"}, {"ref": "ehabibrahim758/unsharped-original-images-json", "kernel_id": "23312841"}, {"ref": "ehabibrahim758/original-images-json", "kernel_id": "23312195"}, {"ref": "ehabibrahim758/shsy5y-json", "kernel_id": "23329122"}, {"ref": "ehabibrahim758/detectron-original-images-inferenc", "kernel_id": "23387735"}, {"ref": "ehabibrahim758/mmdetection-training-new-data-with-new-cfg", "kernel_id": "23077696"}, {"ref": "ehabibrahim758/shsy5y-images", "kernel_id": "23105139"}, {"ref": "ehabibrahim758/to-json-power-2", "kernel_id": "23114850"}, {"ref": "mayur7garg/sartorius-eda-transformation-and-segmentation", "kernel_id": "23025979"}, {"ref": "vikzz69/cell-inst-vivek", "kernel_id": "23790904"}, {"ref": "arafatasim/biomed-cell-segmentation", "kernel_id": "23787870"}, {"ref": "markunys/8th-place-solution-inference", "kernel_id": "23459732"}, {"ref": "damtrongtuyen/sartorius-cellpose-inference-customize-all-in", "kernel_id": "23388833"}, {"ref": "dylandehili/sartorus-3-3-tfrecord", "kernel_id": "23426087"}, {"ref": "nathennguyen/u-net-with-90k-parameters", "kernel_id": "23421390"}, {"ref": "aishikai/scs-cellpose-infer", "kernel_id": "23011382"}, {"ref": "ryusuke20210920/my-ensemble-privatescore-0-311", "kernel_id": "23041991"}, {"ref": "kugaichen/how-to-use-mmdectetion", "kernel_id": "23363385"}, {"ref": "guofenwei/positive-score-with-detectron-3-3-inference", "kernel_id": "23019443"}, {"ref": "handudu/how-to-use-mmdectetion", "kernel_id": "23442240"}, {"ref": "greenwizard/strangedetector", "kernel_id": "24924469"}, {"ref": "fengqianpang/sartorius-torch-faster-r-cnn", "kernel_id": "24916921"}, {"ref": "aimanlim0/cow-seg-with-detectron-training", "kernel_id": "24146621"}, {"ref": "samyukthamobile/cell-segmentation-eda-cnn-easy-simple-beginner", "kernel_id": "24329871"}, {"ref": "tanviranjum/sartorius-starter-torch-mask-r-cnn-lb-0-273", "kernel_id": "24488413"}, {"ref": "arafatasim/sartorius-starter-torch-mask-r-cnn-lb-0-273", "kernel_id": "24486772"}, {"ref": "arafatasim/sartorius-torch-mask-r-cnn", "kernel_id": "24507084"}, {"ref": "arafatasim/sartorius-torch-mask-r-cnn-d2b335", "kernel_id": "24507818"}, {"ref": "nadirhanahin/sartorius-mask-rcnn-efficientnetv2-b1", "kernel_id": "24885210"}, {"ref": "nikmarker/sartorius-starter-torch-mask-r-cnn-lb-0-273", "kernel_id": "24391966"}, {"ref": "ccvipchenbin/fork-of-fork-of-how-to-use-mmdectetion", "kernel_id": "24571721"}, {"ref": "alepru/kddm2-unet-train-inf", "kernel_id": "24178155"}, {"ref": "alepru/kddm2-cellpose-train", "kernel_id": "24182792"}, {"ref": "alepru/kddm2-mmdet-train-inf", "kernel_id": "24184115"}, {"ref": "alepru/kddm2-cellpose-inf", "kernel_id": "24181145"}, {"ref": "alepru/kddm2-mmcls-train", "kernel_id": "24187057"}, {"ref": "lhd0430/sartorius-cell-instance-segmentation", "kernel_id": "25071119"}, {"ref": "luukhang/sartorius-cellpose-inference", "kernel_id": "25986691"}, {"ref": "vineethakkinapalli/uw-madison-gi-tract-detectron2-train", "kernel_id": "26598516"}, {"ref": "awsaf49/uwmgi-unet-infer-pytorch", "kernel_id": "26408762"}, {"ref": "luukhang/sartorius-eda", "kernel_id": "26574307"}, {"ref": "piyush1089/sartorius-detectron", "kernel_id": "26155580"}, {"ref": "nhthunhhong/ieee-sartorius-segmentation", "kernel_id": "26013917"}, {"ref": "czmncut/fork-of-sartorius-torch-faster-r-cnn-275ce5", "kernel_id": "26542007"}, {"ref": "czmncut/sartorius-torch-faster-r-cnn-275ce5", "kernel_id": "26234629"}, {"ref": "czmncut/fork-of-fork-of-sartorius-torch-faster-r-cnn", "kernel_id": "26705690"}, {"ref": "czmncut/fork-of-sartorius-torch-faster-r-cnn-111", "kernel_id": "26640396"}, {"ref": "xixize11/sartorius-torch-faster-r-cnn-5-6", "kernel_id": "26662067"}, {"ref": "xixize11/fork-of-fork-of-sartorius-torch-faster-5-5", "kernel_id": "26821196"}, {"ref": "xixize11/5-6-sartorius-torch", "kernel_id": "26824568"}, {"ref": "czmxix/sartorius-torch-faster-r-cnn", "kernel_id": "26549221"}, {"ref": "czmxix/fork-of-sartorius-torch-faster-r-cnn-275ce5", "kernel_id": "26544035"}, {"ref": "czmxix/fork-of-sartorius-torch-faster-r-cnn-111", "kernel_id": "26603364"}, {"ref": "czmxix/5-8-sartorius-torch", "kernel_id": "26888778"}, {"ref": "phanttan/metrics-map-iou", "kernel_id": "27309890"}, {"ref": "ehan12/ensemble-nms-detectron2-inference-ab57ec", "kernel_id": "27556213"}, {"ref": "datakite/sartorius-cell-instance-segmentation", "kernel_id": "27672094"}, {"ref": "luukhang/sartorius-cellpose-train", "kernel_id": "27919721"}, {"ref": "luukhang/sartorius-cellpose-sizemodel-train", "kernel_id": "27867543"}, {"ref": "vexxingbanana/ear-mouse-segmentation", "kernel_id": "27489491"}, {"ref": "sarobarroy/simple-nn-segmentation", "kernel_id": "27050063"}, {"ref": "sarobarroy/sartorus-1-trecord-dcnn", "kernel_id": "27023355"}, {"ref": "czmncut/sartorius-torch-faster-5-19", "kernel_id": "27190152"}, {"ref": "korrawizchotayapa/label-sartorius-starter-torch-mask-r-cnn-l", "kernel_id": "27887916"}, {"ref": "czmxix/sartorius-torch-faster-5-19", "kernel_id": "27183956"}, {"ref": "czmxix/fork-of-sartorius-torch-faster-r-cnn-1-11", "kernel_id": "27142438"}, {"ref": "luukhang/sartorius-livecell-shsy5y-data-gen", "kernel_id": "28023466"}, {"ref": "dudifrid/how-to-use-mmdectetion-my-edition", "kernel_id": "28426875"}, {"ref": "mahmoudlimam/eda-nervous-cell-instance-segmentation", "kernel_id": "30613503"}, {"ref": "mahmoudlimam/baseline-instance-segmentation-nervous-cells", "kernel_id": "30984084"}, {"ref": "mdeasinhasan/notebook10f2f75a92", "kernel_id": "31435137"}, {"ref": "mahmoudlimam/sartorius-eda-for-classification", "kernel_id": "31778463"}, {"ref": "amirhossiengerami/sartoruis", "kernel_id": "31095929"}, {"ref": "rohitdhankar/sartorius-init-code", "kernel_id": "32473933"}, {"ref": "mahmoudlimam/xai-visualization-nervous-cell-classification", "kernel_id": "32031982"}, {"ref": "truthisneverlinear/train-image-embedding-and-cosine-similarity", "kernel_id": "32952051"}, {"ref": "truthisneverlinear/semisupervised-image-embeddings-and-similarity", "kernel_id": "32942983"}, {"ref": "truthisneverlinear/semisupervised-classifier-tf", "kernel_id": "32495878"}, {"ref": "truthisneverlinear/livecells-2021-classification-tf", "kernel_id": "32422682"}, {"ref": "rhuthvikdendukuri/sartorius-mask-rcnn-efficientnetv2-train-2h", "kernel_id": "32204386"}, {"ref": "hadibakhsh/sartorius-torch-mask-r-cnn", "kernel_id": "32883961"}, {"ref": "validmodel/creating-annotation", "kernel_id": "33633867"}, {"ref": "validmodel/baseline-model", "kernel_id": "33633582"}, {"ref": "validmodel/baseline-model-inference", "kernel_id": "33681973"}, {"ref": "danduong/segment-using-unet", "kernel_id": "33064793"}, {"ref": "martinlanchon/satorius-prad-lanchon", "kernel_id": "33876975"}, {"ref": "vexxingbanana/uavvaste-training", "kernel_id": "35866441"}, {"ref": "uroosehar/residual-unet-with-attention-eda-tta-w-b", "kernel_id": "36143871"}, {"ref": "shnakazawa/semantic-segmentation-with-pytorch-and-u-net", "kernel_id": "36087576"}, {"ref": "abrachan/sartorius-maskrcnn-with-pytorch", "kernel_id": "37450520"}, {"ref": "abrachan/sartorius-unet-from-scratch-with-pytorch", "kernel_id": "37576373"}, {"ref": "igorchubarov/finals-sber", "kernel_id": "37386294"}, {"ref": "egornekludov/semantic-segmentation-with-pytorch-and-u-net", "kernel_id": "39137575"}, {"ref": "tapaskd123/validation-plot-medical-segmentation", "kernel_id": "40780598"}, {"ref": "thusharanair/instance-segmentation-maskrcnn-efficientnetv2-b0", "kernel_id": "41909796"}, {"ref": "alimustoofaa/detectron2-download-code-for-offline-install-ii", "kernel_id": "42097290"}, {"ref": "ahmedhamdi906/inst-detectron2", "kernel_id": "42318914"}, {"ref": "markpp/sartorius-starter-torch-mask-r-cnn-lb-0-273", "kernel_id": "43983528"}, {"ref": "dbzadnen/satorius-cell-instance-segmentation", "kernel_id": "45307305"}, {"ref": "junxhuang/inference-sartorius-transfer-learning", "kernel_id": "46252990"}, {"ref": "sereinserein/123456", "kernel_id": "47685055"}, {"ref": "raywxr/transunet2-0", "kernel_id": "48212696"}, {"ref": "tommmmer/transunet2-0", "kernel_id": "48391909"}, {"ref": "enzou3/sartorius-mask-r-cnn", "kernel_id": "49584074"}, {"ref": "paulaescudero/pytorch-sartorius-unet-strikes-back-infer", "kernel_id": "50740923"}, {"ref": "paulaescudero/soluci-n-base-train", "kernel_id": "50775587"}, {"ref": "paulaescudero/exploratory-data-analysis", "kernel_id": "50520865"}, {"ref": "varun021/sartorius-eda-transformation-and-segmentation", "kernel_id": "51560475"}, {"ref": "altusartur/cell-is", "kernel_id": "52158347"}, {"ref": "paulaescudero/cellpose-train", "kernel_id": "52922639"}, {"ref": "ba1ddi/fucking-train", "kernel_id": "52896031"}, {"ref": "shidonglin/sartorius-unet-with-pytorch", "kernel_id": "54788937"}, {"ref": "liliyak/homework-cv7-segmentation-baseline", "kernel_id": "56605280"}, {"ref": "hasimiali/sartorius-mask-rcnn-efficientnetv2-train-2h", "kernel_id": "58975176"}, {"ref": "liuweiq/coincide-separation-detectron2-maskrcnn", "kernel_id": "62121253"}, {"ref": "youhane/sartorius-gene-segmentation", "kernel_id": "67542819"}, {"ref": "sirikonam/sartorius-simple-cnn-keras", "kernel_id": "69542851"}, {"ref": "sirikonam/sartorius-mask-r-cnn", "kernel_id": "69521169"}, {"ref": "abhikoti/semantic-segmentation-with-pytorch-and-u-net", "kernel_id": "70807611"}, {"ref": "sirikonam/tf-deep-residual-unet-with-attention-train", "kernel_id": "70136555"}, {"ref": "sirikonam/sartorius-complete-from-eda-to-submit-unet", "kernel_id": "70132398"}, {"ref": "sirikonam/semantic-segmentation-with-pytorch-and-u-net", "kernel_id": "70038883"}, {"ref": "zyh1104/022-exploratory-data-analysis", "kernel_id": "71510423"}, {"ref": "khh111/notebook9ddf1ed5e1", "kernel_id": "71377863"}, {"ref": "rekhamuppa/semantic-segmentation-with-pytorch-and-u-net", "kernel_id": "71361132"}, {"ref": "sirikonam/positive-score-with-detectron-3-3-inferen-66c3ef", "kernel_id": "72665631"}, {"ref": "sirikonam/cell-instance-classify-densenet201", "kernel_id": "72392330"}, {"ref": "cactussilver/mask-r-cnn-lb-0-273", "kernel_id": "74807408"}, {"ref": "zzha0331/sartorius-eda-res", "kernel_id": "75035139"}, {"ref": "alexeyslepov/homework-cv7-segmentation", "kernel_id": "79076785"}, {"ref": "garrrar/notebookbeb8ac7f0f", "kernel_id": "83732771"}, {"ref": "irbiit/cell-segmentation", "kernel_id": "83596386"}, {"ref": "annakompan/mask-3", "kernel_id": "83848040"}, {"ref": "annakompan/new-data-preproc", "kernel_id": "83929024"}, {"ref": "annakompan/best-from-kag-eval", "kernel_id": "83965818"}, {"ref": "chungenchiang/notebook5818a93945", "kernel_id": "83177563"}, {"ref": "chungenchiang/cellpose", "kernel_id": "83663711"}, {"ref": "chungenchiang/maskrcnn-cellpose", "kernel_id": "83903125"}, {"ref": "kirita74/notebookbeb8ac7f0f", "kernel_id": "83804699"}, {"ref": "garrrar/notebook8643347ba4-a6a269", "kernel_id": "84195887"}, {"ref": "annakompan/old-test-2", "kernel_id": "84087866"}, {"ref": "annakompan/old-test-2-1", "kernel_id": "84123714"}, {"ref": "annakompan/old-test-ipynb", "kernel_id": "84072687"}, {"ref": "annakompan/submit-pretrained-w-ipynb", "kernel_id": "84046344"}, {"ref": "alluka1125/refined-work-ensembled", "kernel_id": "84124302"}, {"ref": "kirita74/notebook1831029554-50a37a", "kernel_id": "84009547"}, {"ref": "kirita74/notebook1831029554", "kernel_id": "84009157"}, {"ref": "zhufengdan/cv-homework-cell", "kernel_id": "85475106"}, {"ref": "zhufengdan/original-cell", "kernel_id": "85505828"}, {"ref": "malikasadriaz/sartorius-mask-rcnn-efficientnetv2-train-2h", "kernel_id": "97732671"}, {"ref": "dmitri63633/cv7test", "kernel_id": "107823913"}, {"ref": "alexdenim/cv-7-homework-try", "kernel_id": "108956405"}, {"ref": "mrdeptrai/offical-mask-r-cnn", "kernel_id": "111638427"}, {"ref": "mrdeptrai/unet-sartorius-cell-instance-segmentation", "kernel_id": "111305494"}, {"ref": "yurbanrus/kletki", "kernel_id": "114136390"}, {"ref": "aliaborad/segmentation", "kernel_id": "116554763"}, {"ref": "serdaronal/sartorius-cell-instance-segmentation", "kernel_id": "117864640"}, {"ref": "veksel/homework-cv7-segmentation", "kernel_id": "128233644"}, {"ref": "kimkiyeont/sartorius-cell-instance-segmentation-maskdino", "kernel_id": "134730293"}, {"ref": "kimkiyeont/sartorius-cell-instance-segmentation", "kernel_id": "135639097"}]}
{"competition_id": "30210", "kernels": [{"ref": "darthroco31415/starter", "kernel_id": "18977455"}, {"ref": "albeam1250/hunt-for-the-legendary-artifact", "kernel_id": "19050425"}, {"ref": "darthroco31415/theoneaboveall", "kernel_id": "19077083"}]}
{"competition_id": "30215", "kernels": [{"ref": "harrybharish/notebook544f8122ac", "kernel_id": "18992315"}]}
{"competition_id": "30216", "kernels": []}
{"competition_id": "30241", "kernels": [{"ref": "harshhzz/2021-summer-iml-hackathon", "kernel_id": "19066892"}]}
{"competition_id": "30259", "kernels": []}
{"competition_id": "30263", "kernels": []}
{"competition_id": "30300", "kernels": [{"ref": "chengtianyue/civilium-price-prediction-starter", "kernel_id": "19162517"}]}
{"competition_id": "30309", "kernels": []}
{"competition_id": "30313", "kernels": []}
{"competition_id": "30318", "kernels": []}
{"competition_id": "30322", "kernels": [{"ref": "jingyuanchen142300/baseline-tutorial", "kernel_id": "19223308"}]}
{"competition_id": "30328", "kernels": []}
{"competition_id": "30331", "kernels": []}
{"competition_id": "30344", "kernels": []}
{"competition_id": "30356", "kernels": []}
{"competition_id": "30358", "kernels": []}
{"competition_id": "30370", "kernels": [{"ref": "chengtianyue/fer-data-preprocessing-and-eda", "kernel_id": "19378166"}, {"ref": "chengtianyue/fer-training", "kernel_id": "19378327"}, {"ref": "jorgerodriguez/facial-expression-recognition", "kernel_id": "26652338"}, {"ref": "thuan33/thuan-tran-techx-facial-expression-recognition-v3", "kernel_id": "115858495"}]}
{"competition_id": "30374", "kernels": [{"ref": "boddurahuladithya/notebookea556ed12f", "kernel_id": "115452808"}]}
{"competition_id": "30385", "kernels": [{"ref": "phelpsmemo/cap394-exemplo-tidy-step-by-step-python", "kernel_id": "19589369"}, {"ref": "phelpsmemo/cap394-exemplo-submissao-python", "kernel_id": "19487700"}, {"ref": "oldlipe/cap394-exemplo-tidy-step-by-step-r", "kernel_id": "19611273"}, {"ref": "oldlipe/cap394-exemplo-submissao-r", "kernel_id": "19488976"}, {"ref": "enriquelimanas/cap394-exemplo-tidy-step-by-step-python", "kernel_id": "19626968"}, {"ref": "enriquelimanas/cap394-exemplo-submissao-r", "kernel_id": "19627046"}, {"ref": "enriquelimanas/cap394-exemplo-tidy-step-by-step-r", "kernel_id": "19627083"}, {"ref": "enriquelimanas/cap394-exemplo-submissao-python", "kernel_id": "19627120"}]}
{"competition_id": "30399", "kernels": []}
{"competition_id": "30411", "kernels": []}
{"competition_id": "30415", "kernels": [{"ref": "shangjinli/template-hw1", "kernel_id": "20454401"}]}
{"competition_id": "30422", "kernels": [{"ref": "heavensky/code-sample", "kernel_id": "19568981"}]}
{"competition_id": "30425", "kernels": []}
{"competition_id": "30429", "kernels": []}
{"competition_id": "30431", "kernels": []}
{"competition_id": "30435", "kernels": []}
{"competition_id": "30437", "kernels": [{"ref": "onlineassessment/notebook534a8dbb32", "kernel_id": "19601414"}]}
{"competition_id": "30441", "kernels": []}
{"competition_id": "30443", "kernels": [{"ref": "onlineassessment/sample-notebook-2", "kernel_id": "19613054"}]}
{"competition_id": "30445", "kernels": []}
{"competition_id": "30448", "kernels": []}
{"competition_id": "30462", "kernels": []}
{"competition_id": "30463", "kernels": []}
{"competition_id": "30466", "kernels": [{"ref": "nitishputrevu/nitishputrevu-dataprix-hackathon", "kernel_id": "20279755"}]}
{"competition_id": "30473", "kernels": []}
{"competition_id": "30477", "kernels": []}
{"competition_id": "30486", "kernels": []}
{"competition_id": "30492", "kernels": [{"ref": "bibhash123/understanding-the-evaluation-metric-roc-curves", "kernel_id": "19869113"}, {"ref": "aneeshgupta0509/starter-notebook", "kernel_id": "19848640"}, {"ref": "nakulsharma1/starter-notebook-99507a", "kernel_id": "19849676"}, {"ref": "ojasvidas/ml4e-inductions", "kernel_id": "19875366"}]}
{"competition_id": "30494", "kernels": []}
{"competition_id": "30510", "kernels": []}
{"competition_id": "30511", "kernels": [{"ref": "toedtlifhsg/einf-hrung-in-python-f-r-dsci", "kernel_id": "20439468"}, {"ref": "toedtlifhsg/titanic-vorlage-f-r-bung-1", "kernel_id": "20027715"}, {"ref": "toedtlifhsg/einstieg-in-data-science-tools-und-die-competition", "kernel_id": "20019842"}, {"ref": "toedtlifhsg/titanic-vorlage-f-r-bung-2-veraltete-version", "kernel_id": "20029469"}, {"ref": "milanmarkovic9019/dsci-bung-1-titanic", "kernel_id": "21457863"}, {"ref": "milanmarkovic9019/dsci-bung-2-titanic", "kernel_id": "21476595"}, {"ref": "toedtlifhsg/titanic-vorlage-f-r-bung-2-v2", "kernel_id": "22142636"}, {"ref": "toedtlifhsg/dsci-bung-2-titanic", "kernel_id": "22142484"}, {"ref": "christianschiegg/abgabe-bung-1-gruppe-15", "kernel_id": "22234604"}, {"ref": "teccpriest/testbook-please-ignore", "kernel_id": "30732172"}, {"ref": "teccpriest/testbook-please-ignore-2", "kernel_id": "31979733"}, {"ref": "savinonext/bern-titanic-vorlage-f-r-bung-1-aufgabe-2", "kernel_id": "31792058"}, {"ref": "sidekickwizard/draft-titanic-jni", "kernel_id": "43665116"}, {"ref": "stefanmeuter/z-rich-bung1", "kernel_id": "43665118"}, {"ref": "selinealdridge/dsci-bung-1-aufgabe-1-2-titanic-girlscode", "kernel_id": "44566742"}]}
{"competition_id": "30512", "kernels": []}
{"competition_id": "30522", "kernels": []}
{"competition_id": "30523", "kernels": [{"ref": "hbhungg/noisy-student-efficientnetb0-transfer-learning", "kernel_id": "20226721"}]}
{"competition_id": "30524", "kernels": []}
{"competition_id": "30527", "kernels": [{"ref": "ayushtri/notebook88c496ce0e", "kernel_id": "20376708"}, {"ref": "mohdummair/gradient-descent-02ed42", "kernel_id": "29762144"}]}
{"competition_id": "30528", "kernels": []}
{"competition_id": "30531", "kernels": [{"ref": "manesverma/house-prixe-prediction", "kernel_id": "20087633"}, {"ref": "skiraz/house-price-prediction-0-11760", "kernel_id": "20180659"}, {"ref": "ramaalalawneh/rs-psut", "kernel_id": "20667397"}, {"ref": "ramaalalawneh/notebook2839f7d067", "kernel_id": "20696172"}, {"ref": "qusayabdo/dataclub-competition", "kernel_id": "20181201"}, {"ref": "alksandraaljabery/dsc-psut", "kernel_id": "20186564"}, {"ref": "saraabbas/j-s-house-prices-predictions", "kernel_id": "20181075"}]}
{"competition_id": "30534", "kernels": [{"ref": "volodymyrgavrysh/pretrained-resnet18-for-deep-learning-inclass", "kernel_id": "21706733"}, {"ref": "kryvokhyzha/dl-creator-school-training-model-02", "kernel_id": "21857740"}, {"ref": "kryvokhyzha/dl-creator-school-preprocessing-01", "kernel_id": "21857601"}]}
{"competition_id": "30536", "kernels": [{"ref": "aditya08/count-the-boxes-simple-cnn-pytorch-lightning", "kernel_id": "20049558"}, {"ref": "aditya08/count-the-boxes-simple-cnn-tensorflow", "kernel_id": "20027355"}, {"ref": "aditya08/count-the-boxes-cnn-regression-tensorflow", "kernel_id": "20111205"}]}
{"competition_id": "30540", "kernels": []}
{"competition_id": "30545", "kernels": []}
{"competition_id": "30550", "kernels": [{"ref": "sergeydudoladov/sample-solution", "kernel_id": "19985491"}]}
{"competition_id": "30551", "kernels": []}
{"competition_id": "30567", "kernels": [{"ref": "shrey92/nb-lr-indic-tokenizer-baseline", "kernel_id": "20366906"}, {"ref": "harveenchadha/tokenize-train-data-using-bert-tokenizer", "kernel_id": "20367734"}, {"ref": "harveenchadha/iiitd-muril-hf-tf-w-b-baseline", "kernel_id": "20363844"}, {"ref": "nikheeeljain/xlmroberttf11", "kernel_id": "20984781"}, {"ref": "deadman0/notebook4e76e0add8", "kernel_id": "21070254"}, {"ref": "bharadwajvedula/tpu-muril-inference", "kernel_id": "21106331"}, {"ref": "bharadwajvedula/tpu-muril-training", "kernel_id": "21097807"}, {"ref": "aanisha07/another-try", "kernel_id": "21539006"}, {"ref": "aravindh11/nb-lr-indic-tokenizer-baseline", "kernel_id": "22010222"}]}
{"competition_id": "30568", "kernels": []}
{"competition_id": "30572", "kernels": []}
{"competition_id": "30573", "kernels": [{"ref": "bcruise/nfl-special-teams-penalty-analysis", "kernel_id": "20834427"}, {"ref": "andrewschechtmanrook/nfl-big-data-bowl-2022-interactive-play-viz", "kernel_id": "20751714"}, {"ref": "robikscube/nfl-big-data-bowl-2022-twitch-stream-eda", "kernel_id": "20820331"}, {"ref": "suneetsaini/nfl-data-bowl-2022-beginner-s-eda-analysis", "kernel_id": "20907210"}, {"ref": "josephvm/nfl-bdb-2022-play-animation-tracking-eda", "kernel_id": "20794213"}, {"ref": "werooring/nfl-big-data-bowl-basic-eda-for-beginner", "kernel_id": "20811918"}, {"ref": "s903124/bayesian-field-goal-model-with-pymc", "kernel_id": "20899144"}, {"ref": "tombliss/analyzing-place-kicker-offset-from-center-r", "kernel_id": "20748561"}, {"ref": "mpwolke/nfl-bowl-2022-nicaviz", "kernel_id": "20820739"}, {"ref": "mpwolke/nfl-bowl-2022-plays-and-players", "kernel_id": "20776332"}, {"ref": "hamzaghanmi/nfl-big-data-bowl-2022-autoviz-eda", "kernel_id": "20748156"}, {"ref": "henggaocai/analyzing-place-kicker-offset-from-center-python", "kernel_id": "20994418"}, {"ref": "kalilurrahman/nfl-big-data-bowl-simple-visualization", "kernel_id": "20981235"}, {"ref": "ranjeetshrivastav/spaceship-titanic-eda-plotly-lgbm-pycaret", "kernel_id": "20782254"}, {"ref": "ahmedaffan789/nfl-big-data-bowl-2022-data-exploratory-analysis", "kernel_id": "20760653"}, {"ref": "kashishrastogi/eda-nfl-big-data-bowl", "kernel_id": "20914804"}, {"ref": "purushottamkumar76/nfl-big-data-bowl-2022", "kernel_id": "20798051"}, {"ref": "dhritiyandapally/analyzing-place-kicker-offset-from-center-python", "kernel_id": "20771092"}, {"ref": "justinalt/nfl-special-teams-data-exploration", "kernel_id": "20785800"}, {"ref": "gsto8782/notebook06a2b974c7gwhizz", "kernel_id": "20779977"}, {"ref": "jaronmichal/tracking-data-visualization", "kernel_id": "20791849"}, {"ref": "patrickseminatore/pryoe-model", "kernel_id": "20873941"}, {"ref": "mos3santos/nfl-big-data-bowl-2022", "kernel_id": "20773875"}, {"ref": "girishkumarsahu/nfl-big-data-bowl-2022", "kernel_id": "20951701"}, {"ref": "danmel/bdb-penalty-predictions", "kernel_id": "20908189"}, {"ref": "smithprksh07/national-football-league", "kernel_id": "20952067"}, {"ref": "gunjangrunge/nfl-big-data-bowl-2022-neural-network-experiment", "kernel_id": "20971900"}, {"ref": "gunjangrunge/big-data-bowl", "kernel_id": "20782767"}, {"ref": "rhythmcam/pandas-basic-add-dataframe-on-dataframe", "kernel_id": "20812742"}, {"ref": "minhtuanle/exploratory-data-analysis", "kernel_id": "20789330"}, {"ref": "nadaawadalkarim/nfl-data-visualization-model", "kernel_id": "20875207"}, {"ref": "yash7raut/eda-of-the-nfl-2022", "kernel_id": "20757588"}, {"ref": "snehsingh001/nfl-big-data-bowl-2022", "kernel_id": "20780795"}, {"ref": "sagreddy/notebook2b81515cfb", "kernel_id": "20778940"}, {"ref": "bcruise/nfl-kickoff-returns-eda", "kernel_id": "21148302"}, {"ref": "adam1brownell/generating-helpful-punt-specific-features", "kernel_id": "21973331"}, {"ref": "qmaclean/evaluating-gunner-s-performance", "kernel_id": "21427949"}, {"ref": "gazu468/eda-on-nfl-dataset-games", "kernel_id": "21021627"}, {"ref": "holoong9291/eda-for-nfl-big-data-bowl", "kernel_id": "21332669"}, {"ref": "tombliss/speed-on-kickoff-plays-across-surfaces-r", "kernel_id": "21059430"}, {"ref": "tombliss/returnerid-variable-test", "kernel_id": "21494351"}, {"ref": "stpeteishii/nfl-big-data-bowl-tracking-visualize", "kernel_id": "21663395"}, {"ref": "erickdcohen/new-metric-for-kick-returns-yardage-pressure-ratio", "kernel_id": "21691629"}, {"ref": "emiz6413/nfl-analysis-heatmap-possession-etc", "kernel_id": "21610653"}, {"ref": "sfurlong/neural-football-league-cortex", "kernel_id": "21547302"}, {"ref": "anu4646/nfl-data-analysis", "kernel_id": "21417303"}, {"ref": "vasileios22/nfl-some-derived-features-for-player-ranking", "kernel_id": "21724062"}, {"ref": "shaon11579/eda-on-nfl-dataset-games", "kernel_id": "21044099"}, {"ref": "kalilurrahman/nfl-data-bowl-2021-special-teams-eda", "kernel_id": "21877571"}, {"ref": "travistyler/nfl-special-teams-eda", "kernel_id": "21042263"}, {"ref": "davidwismer/ranking-gunners-vises-and-punt-return-difficulty", "kernel_id": "21597897"}, {"ref": "matsuosan/nfl-bowl-starter-japanese", "kernel_id": "21110668"}, {"ref": "igalbronshtein/nfl-big-data-bowl-2022-warmup", "kernel_id": "21146269"}, {"ref": "dhritiyandapally/speed-on-kickoff-plays-across-surfaces-python", "kernel_id": "21234558"}, {"ref": "muhammadmelsherbini/nfl-bdb-22-eda", "kernel_id": "21117036"}, {"ref": "patrickchatfield/nfl-tracking-sim", "kernel_id": "21634514"}, {"ref": "barbosajaf/nfl-big-data-bowl-2022-notebookf8e72ba02a", "kernel_id": "21720312"}, {"ref": "itrustonlykent/in-game-video-analysis-eda-on-the-nfl-dataset", "kernel_id": "21918207"}, {"ref": "eduardolopezsandoval/the-better-play-of-the-especial-team", "kernel_id": "21693588"}, {"ref": "louisbunuel/one-weird-flying-ball", "kernel_id": "21668276"}, {"ref": "yus002/tracking-eda-yue-sun", "kernel_id": "21948392"}, {"ref": "georgestultz/nfl-s-top-special-teamers", "kernel_id": "21081973"}, {"ref": "yasinnaal/usa-football-league-big-data-analysis", "kernel_id": "21877685"}, {"ref": "olfertkonstantin/nfl-prediction-of-result-draw-a-ball-after-punt", "kernel_id": "21202214"}, {"ref": "junekitagawa/kick-off-return-with-quartile", "kernel_id": "21161739"}, {"ref": "junekitagawa/returner-s-locus", "kernel_id": "21986430"}, {"ref": "shaquibsiddiqui/eda-on-nfl-big-data", "kernel_id": "21463463"}, {"ref": "amariparrris/nfl-kickoff-returns-50-yds-directional-kick-eda", "kernel_id": "21354703"}, {"ref": "vinikenobi/nfl-last-3-super-bowl-winners-beginner", "kernel_id": "21357675"}, {"ref": "prateeksohlot/nfl-eda", "kernel_id": "21418053"}, {"ref": "cjchou/nfl-big-data-bowl-expected-landing-position", "kernel_id": "21470379"}, {"ref": "ranyfahed/nfl-eda", "kernel_id": "21134806"}, {"ref": "tomasfajna/weight-and-height-in-players-positions", "kernel_id": "21060706"}, {"ref": "bkjhhbjhbjkhbjh/nfl-prediction-of-result-draw-a-ball-after-punt", "kernel_id": "21642400"}, {"ref": "kushtrivedi14728/python-nfl-bigdatabowl-2022-eda", "kernel_id": "21157527"}, {"ref": "threecifanggen/replay-the-game-using-plotly-to-animate-the-game", "kernel_id": "22131736"}, {"ref": "jpmiller/augmented-reality-for-kickoffs-and-punts", "kernel_id": "22949188"}, {"ref": "jessefis/nfl-big-data-bowl-2022", "kernel_id": "22955426"}, {"ref": "abisheksrivastav/nfl-data-analysis", "kernel_id": "22773688"}, {"ref": "vavan137/is-sea-special-team-good-enough", "kernel_id": "22946754"}, {"ref": "lnigro903/nfl-player-eda-in-r", "kernel_id": "22391056"}, {"ref": "karthikbhandary2/analysis-on-nfl-players", "kernel_id": "22332397"}, {"ref": "pvabish/kick-accuracy-beyond-field-goal-percentage", "kernel_id": "22068987"}, {"ref": "danitreisman/quantifying-punt-return-decisions", "kernel_id": "22252536"}, {"ref": "taichan003/nfl-blocking-rate-in-punt-kickoff-plays", "kernel_id": "22488391"}, {"ref": "tianmin/how-to-improve-the-valid-metric-kick-length", "kernel_id": "22795466"}, {"ref": "tianmin/what-is-a-good-kickoff", "kernel_id": "22471275"}, {"ref": "s903124/what-is-the-optimal-punt-location", "kernel_id": "22329395"}, {"ref": "adhithyasrinivasan/eda-big-bowl", "kernel_id": "22901768"}, {"ref": "imathur1/expected-kickoff-return-yards", "kernel_id": "22760749"}, {"ref": "ycca1018/nfl-tracking-data-to-png-pca-kmeans-lgbm-shap", "kernel_id": "22568895"}, {"ref": "fabreeze/evaluating-headhunters-kipper", "kernel_id": "22598170"}, {"ref": "jdruzzi/estimating-punt-protection-blocking-assignments", "kernel_id": "22829407"}, {"ref": "jdruzzi/generating-detailed-punt-positions", "kernel_id": "22823101"}, {"ref": "jdruzzi/combine-snap-counts-left-footed-kicker-data", "kernel_id": "22823829"}, {"ref": "jdruzzi/quantifying-punt-rush-ability-with-havoc", "kernel_id": "22853010"}, {"ref": "jdruzzi/evaluate-punt-punt-return-units-with-convex-hulls", "kernel_id": "22465753"}, {"ref": "stevenpatton/punt-yards-over-expected-pyoe", "kernel_id": "22870074"}, {"ref": "saraswatitiwari/nfl-big-data-bowl-22", "kernel_id": "22476117"}, {"ref": "saraswatitiwari/nfl-big-data-bowl-2022", "kernel_id": "22454447"}, {"ref": "introbidabertor/nfl-big-data-bowl-2022-approach-of-a-match", "kernel_id": "22580235"}, {"ref": "kalilurrahman/nfl-data-bowl-2024-plays-animation", "kernel_id": "22306863"}, {"ref": "karthikeya14/auto-eda-sweetviz-autoviz", "kernel_id": "22701876"}, {"ref": "tangtaidje/nfl-bpa-analysis", "kernel_id": "22750195"}, {"ref": "sanjayv007/nfl-big-data-bowl-beginner-s-complete-eda", "kernel_id": "22737224"}, {"ref": "elizabethgrimes/predicting-outcomes-of-kickoff-returns", "kernel_id": "22924426"}, {"ref": "foxeyjoker/nfl-big-data-bowl-2022-teams-analysis", "kernel_id": "22164283"}, {"ref": "rahmatramadhanherry/play-visualization-and-a-look-at-punting-data", "kernel_id": "22293337"}, {"ref": "vbhtib/nfl-big-data-bowl-2022-insights-of-special-teams", "kernel_id": "22720197"}, {"ref": "wildbenji/one-eda-to-rule-them-all-what-is-nfl-anyway", "kernel_id": "22533992"}, {"ref": "georgestultz/kickers-are-people-too-a-fair-analysis-of-kickers", "kernel_id": "22913370"}, {"ref": "girishkumarsahu/nfl-big-data-bowl-2022-v2", "kernel_id": "22391774"}, {"ref": "alexanderdutchak/visualize-punt-tracking-data-from-a-single-game", "kernel_id": "22171263"}, {"ref": "sebastianheri/speed-vs-acceleration-of-a-succesful-punt-return", "kernel_id": "22337543"}, {"ref": "danmel/augmenting-the-player-data", "kernel_id": "22124727"}, {"ref": "charliezimmerman/punt-effectiveness-rating-a-new-punt-statistic", "kernel_id": "22566959"}, {"ref": "charliezimmerman/load-missing-play-and-additional-season-data", "kernel_id": "22313379"}, {"ref": "monikalca/nfl-2022", "kernel_id": "22939431"}, {"ref": "jackporter1/nfl-data-bowl1", "kernel_id": "22770690"}, {"ref": "cyberblack0/nfl-big-data-bowl-2022", "kernel_id": "22112551"}, {"ref": "amirbabak/eda-nfl-big-data-bowl", "kernel_id": "22926496"}, {"ref": "deependraparichha/nfl-big-data-bowl-2022", "kernel_id": "22723340"}, {"ref": "davidkrejcarek/punt-analysis", "kernel_id": "22869532"}, {"ref": "tejasamitshinde/nfl-players-analysis", "kernel_id": "22998016"}, {"ref": "datarohitingole/nfl-data-analysis-and-plotly-animation", "kernel_id": "22241125"}, {"ref": "michaellounsberry/should-you-let-punts-bounce-inside-the-10", "kernel_id": "22617723"}, {"ref": "robynritchie/punt-returns-using-the-math-to-find-the-path", "kernel_id": "22977666"}, {"ref": "noralizarti/graph-representation-nfl-nora", "kernel_id": "22378599"}, {"ref": "kuandarchen/special-team-player-bmi", "kernel_id": "22330391"}, {"ref": "cjeanpierre/nfl-how-special-are-the-special-teams", "kernel_id": "22717178"}, {"ref": "kaggledoer/nfl-big-data-bowl-predictive-model-for-punt-plays", "kernel_id": "22912577"}, {"ref": "kaggledoer/custom-gradient-boost-for-house-prices", "kernel_id": "22912507"}, {"ref": "christofercruz21/exploring-possible-advantages-for-nfl-special-team", "kernel_id": "22498700"}, {"ref": "bryanlhy/playtype-recommendation-sys-result-prediction", "kernel_id": "22344798"}, {"ref": "bdhesu/predicting-punting", "kernel_id": "23656265"}, {"ref": "sryo188558/hazard-modeling-for-kickoff-punt-returns", "kernel_id": "23533542"}, {"ref": "brndngrhm/spark-a-model-to-predict-kickoff-endzone-returns", "kernel_id": "23230423"}, {"ref": "kevinarvai/formation-clustering", "kernel_id": "23661282"}, {"ref": "adam1brownell/punt-coverage-assessment-ranking", "kernel_id": "23421052"}, {"ref": "vavan137/blunders-from-opponent", "kernel_id": "23116822"}, {"ref": "vavan137/how-far-k-from-ls", "kernel_id": "23037770"}, {"ref": "vingkan/model-training-returns-for-loss", "kernel_id": "23629760"}, {"ref": "vingkan/process-punt-return-decision-data", "kernel_id": "23632214"}, {"ref": "vingkan/decision-making-in-punt-returns", "kernel_id": "23683799"}, {"ref": "vingkan/analytics-gutsy-returners", "kernel_id": "23678457"}, {"ref": "vingkan/pff-tracking-data-player-mismatches", "kernel_id": "23456327"}, {"ref": "nickwan/returner-quality", "kernel_id": "23674127"}, {"ref": "xoxgur123/nfl-2022-punt-commons", "kernel_id": "23633566"}, {"ref": "mdbaileykaggle/fatigue-factors-and-kickoff-sprints-eda", "kernel_id": "23539864"}, {"ref": "est092/py-predicted-yards", "kernel_id": "23662554"}, {"ref": "warrenhendricks/notebookb78df9a257", "kernel_id": "23681841"}, {"ref": "nishanth123/evaluating-unnoticed-impact-pre-punt-post-punt", "kernel_id": "23663601"}, {"ref": "s903124/kickoff-submission-notebook", "kernel_id": "23669926"}, {"ref": "s903124/what-contribute-to-successful-field-goal", "kernel_id": "23040309"}, {"ref": "jorgeperez623/quantifying-hidden-yards-punt-plays", "kernel_id": "23679685"}, {"ref": "connyfromtheblock/valuing-blocking-on-kick-return-plays", "kernel_id": "23616864"}, {"ref": "model284/where-should-punters-aim", "kernel_id": "23673042"}, {"ref": "grkgarimella/perfectplayscorrelation", "kernel_id": "23105111"}, {"ref": "gisehenry/isolating-and-analyzing-punt-returner-performance", "kernel_id": "23656565"}, {"ref": "dbradford/big-data-bowl-code", "kernel_id": "23626547"}, {"ref": "seanwsullivan1/nfl-big-data-bowl-2022-pryoe", "kernel_id": "23496681"}, {"ref": "jboss7/optimizing-nfl-players-speed-an-approach", "kernel_id": "23639196"}, {"ref": "saurav9786/nfl-big-data-visualization", "kernel_id": "23559170"}, {"ref": "moizkhan11/nfl-competition", "kernel_id": "23577725"}, {"ref": "caldred1/xepa-for-punts-and-kickoffs", "kernel_id": "23626610"}, {"ref": "kamaljp/nfl-2022-analytics", "kernel_id": "23546772"}, {"ref": "brianbak/tug-the-battle-for-field-position", "kernel_id": "23683334"}, {"ref": "rmdaga/sn-final-project-daga-suarez", "kernel_id": "23695062"}, {"ref": "lukegeorge/can-an-artificial-intelligence-coach-special-teams", "kernel_id": "23304297"}, {"ref": "jdruzzi/alternate-outcomes-with-punt-pressure-havoc", "kernel_id": "23679388"}, {"ref": "jdruzzi/extended-how-to-improve-havoc-block-punts", "kernel_id": "23306345"}, {"ref": "jdruzzi/havoc-decoding-the-punt-rush", "kernel_id": "23081056"}, {"ref": "zayuhtheiv/appendix-a2b3e5", "kernel_id": "23682864"}, {"ref": "zayuhtheiv/bic2-final", "kernel_id": "23656893"}, {"ref": "acheema20/prya-modeling-the-nfl-punt-for-player-evaluation", "kernel_id": "23683222"}, {"ref": "andrewakers9/net-punt-yards-gained", "kernel_id": "23539483"}, {"ref": "dev1999/ds-big-data-bowl", "kernel_id": "23681828"}, {"ref": "averoulis/on-the-fly-what-goes-into-punt-return-decisions", "kernel_id": "23621525"}, {"ref": "talemu/analytics-returns-for-loss", "kernel_id": "23644895"}, {"ref": "mjegle/drop-the-net", "kernel_id": "23625904"}, {"ref": "husarah/deeps-dive-a-process-oriented-approach-to-returns", "kernel_id": "23665409"}, {"ref": "trevorhughes/expected-punt-return-yards", "kernel_id": "23634672"}, {"ref": "benjenkins96/quantifying-kicker-and-punter-performance", "kernel_id": "23542285"}, {"ref": "adityafuldeore/evaluating-gunner-performance-on-punt-returns", "kernel_id": "23629992"}, {"ref": "johnmcgrath22/rushing-the-punter-punting-under-pressure", "kernel_id": "23033639"}, {"ref": "joshuamould/villanova-big-data-bowl-2022-team-1", "kernel_id": "23413675"}, {"ref": "alexpesantez/gunner-analysis-what-factors-make-a-good-gunner", "kernel_id": "23453269"}, {"ref": "siddharthboppana/analyzing-punt-return-decision-making", "kernel_id": "23676522"}, {"ref": "maxwellstjohn/expected-kickoff-return-yards", "kernel_id": "23658798"}, {"ref": "nmayank10/nfl-big-data-bowl-2022-eda", "kernel_id": "23548605"}, {"ref": "mattymo18/regularized-adjusted-field-position-contribution", "kernel_id": "23677291"}, {"ref": "abdallahmahmoud/investigate-nfl", "kernel_id": "23847420"}, {"ref": "tejseth/optimal-decision-making-for-punt-returners", "kernel_id": "23532839"}, {"ref": "tylersanders/kick-returner-injury-risk-modeling", "kernel_id": "23578601"}, {"ref": "ericrupinski/instantaneous-kick-received-analysis", "kernel_id": "23680850"}, {"ref": "tuckerboynton/gunner-and-jammer-win-rates", "kernel_id": "23621757"}, {"ref": "jacklichtenstein/expected-field-position-on-punts", "kernel_id": "23425270"}, {"ref": "dallashutchinson/predicting-whether-or-not-a-punt-is-returned", "kernel_id": "23679576"}, {"ref": "christopherhanes/appendix", "kernel_id": "23658773"}, {"ref": "zacrogersuk/playertv-by-zacrogers", "kernel_id": "23446804"}, {"ref": "zacrogersuk/playertv-by-zacrogers-excluding-appendix", "kernel_id": "23670676"}, {"ref": "zacrogersuk/appendix-of-playertv-by-zacrogers", "kernel_id": "23670315"}, {"ref": "jaytheriault/punt-yards-over-expected", "kernel_id": "23682454"}, {"ref": "luismagaa/punt-return-yards-over-expected", "kernel_id": "23660394"}, {"ref": "hiteshkumars/nfl-big-data-bowl-full-analysis-by-hitesh", "kernel_id": "23431547"}, {"ref": "jordon2000/landing-area-prediction-and-dynamic-voronoi", "kernel_id": "23631094"}, {"ref": "drusss/nfl-kickoff-performance-metrics", "kernel_id": "23659056"}, {"ref": "hongzeliu7/decompose-tackling-a-neural-network-approach", "kernel_id": "23423079"}, {"ref": "jacobbleiweis/metrics-for-evaluating-gunners", "kernel_id": "23597282"}, {"ref": "ethanplee/nfl-big-data-bowl-2022", "kernel_id": "23631560"}, {"ref": "jameshyman/punt-return-yards-over-expected", "kernel_id": "23659196"}, {"ref": "homura131072/how-can-a-strategy-pushes-their-team", "kernel_id": "23662196"}, {"ref": "kevinodonnell7/big-data-bowl-final", "kernel_id": "23571423"}, {"ref": "benmillarmba/4th-quarter-field-goals-data-bowl-2022", "kernel_id": "23598809"}, {"ref": "andersoncox/bigdatabowl-2018coveredvsuncovered-and-visuals", "kernel_id": "23683384"}, {"ref": "soumya666/nfl-big-data-bowl", "kernel_id": "23580713"}, {"ref": "yiwenzhu98/punt-analysis-nfl-2022", "kernel_id": "23591208"}, {"ref": "asherpollack/punt-yards-over-expectation-pyoe", "kernel_id": "23315635"}, {"ref": "shravanravishankar/notebookd6d88b24df", "kernel_id": "23683154"}, {"ref": "connornickol26/an-evaluation-of-nfl-special-teams-players", "kernel_id": "23659244"}, {"ref": "dyahayumgw/project-sn", "kernel_id": "23679115"}, {"ref": "charlesgiess/optimising-gunner-and-vise-tactics-and-techniques", "kernel_id": "23637021"}, {"ref": "charlestobin/the-intricacies-of-total-punter-rating", "kernel_id": "23503853"}, {"ref": "karlpetz/nfl-eda", "kernel_id": "23127578"}, {"ref": "mostafaalaa123/punt-return-metric", "kernel_id": "23572437"}, {"ref": "nathanbauerle/nfl-special-teams-statistics", "kernel_id": "23599247"}, {"ref": "amansharmap/nfl-notebook5", "kernel_id": "23049375"}, {"ref": "aaronzpearson/modelling-player-change-of-direction", "kernel_id": "23642524"}, {"ref": "mattt31/evaluating-kicker-performance-using-ker", "kernel_id": "23656010"}, {"ref": "dac187/return-with-flair-focused-learning-ai-returner", "kernel_id": "23658622"}, {"ref": "daviddsdp/quantify-special-team-strategy", "kernel_id": "23848598"}, {"ref": "maryliebig/network-analysis-of-coverage-teams", "kernel_id": "23464370"}, {"ref": "kushtrivedi14728/kansas-city-chiefs-special-plays", "kernel_id": "23508869"}, {"ref": "kushtrivedi14728/los-angeles-rams-special-plays", "kernel_id": "23514217"}, {"ref": "kushtrivedi14728/tampa-bay-buccaneers-special-plays", "kernel_id": "23513669"}, {"ref": "kushtrivedi14728/tennessee-titans-special-plays", "kernel_id": "23513829"}, {"ref": "kushtrivedi14728/dallas-cowboys-special-plays", "kernel_id": "23513262"}, {"ref": "kushtrivedi14728/green-bay-packers-special-plays", "kernel_id": "23512147"}, {"ref": "jaysagrolikar/punters-and-gatherers-clustering-play-development", "kernel_id": "23461713"}, {"ref": "kylemechelin/predicting-whether-or-not-a-punt-is-returned", "kernel_id": "23685466"}, {"ref": "kensanhi3dpw/alpha1-dgl-exam", "kernel_id": "23689069"}, {"ref": "kensanhi3dpw/the-best-returner-of-nfl-special-team", "kernel_id": "23637388"}, {"ref": "jonfearer/punt-analysis", "kernel_id": "23657255"}, {"ref": "sergioimiranda/kick-return-outcomes-by-field-control-cutbacks", "kernel_id": "23658594"}, {"ref": "sohumshah/a-data-driven-evolution-to-punt-return-strategy", "kernel_id": "23682716"}, {"ref": "jacklindenberg/ranking-nfl-gunners-on-punt-return-plays", "kernel_id": "23682580"}, {"ref": "mk0505/nfl2022", "kernel_id": "23658538"}, {"ref": "haleyenglish/villanova-university-big-data-bowl-2022-team-2", "kernel_id": "23645991"}, {"ref": "noralizarti/nfl-scoring-prediction-and-knowledge-graph", "kernel_id": "23594271"}, {"ref": "rxsims/evaluating-punters-relative-to-optimal-punting", "kernel_id": "23623222"}, {"ref": "kuandarchen/final-project-expanded", "kernel_id": "23658499"}, {"ref": "teejiahe/nthu-data-mining-team-16", "kernel_id": "23674376"}, {"ref": "michaelbock18/a-reinterpretation-of-the-field-goal-target-line", "kernel_id": "23334957"}, {"ref": "massimoh/ranking-player-on-probability-of-scoring-fieldgoal", "kernel_id": "23445732"}, {"ref": "mdjafrilalamshihab/explore-with-fun-awesome-eda-ml-tricks", "kernel_id": "23680578"}, {"ref": "yuhongzhang1/kickoff", "kernel_id": "23613147"}, {"ref": "adrianteelianguang/final-project-mine", "kernel_id": "23608704"}, {"ref": "zwartfreak/nfl-games-players-analysis-and-visualization", "kernel_id": "23016833"}, {"ref": "zwartfreak/nfl-yearly-tracking-data-complete", "kernel_id": "23403749"}, {"ref": "williamsovine/team-kicking-receiving-returns-inside-25", "kernel_id": "23427339"}, {"ref": "solenodon/ai-simulates-kickoff-returns-to-rank-players", "kernel_id": "23088639"}, {"ref": "allensa/performance-attribute-graphs-for-special-teams", "kernel_id": "23595371"}, {"ref": "erinclark5/beginner-nfl-strategy-punts", "kernel_id": "23681979"}, {"ref": "augustindiazordaz/notebookd59c49810b", "kernel_id": "23683502"}, {"ref": "andrewcurtis27/nflbigdata2022-andrewcurtis27", "kernel_id": "25075738"}, {"ref": "sanman8017/databowl", "kernel_id": "26925555"}, {"ref": "jpmiller/horse-racing-welcome-to-the-machine", "kernel_id": "31201727"}, {"ref": "kalilurrahman/nfl-data-bowl-2023-offensive-plays-eda", "kernel_id": "31113465"}, {"ref": "kalilurrahman/nfl-big-data-bowl-2023-simple-visualization", "kernel_id": "31113168"}, {"ref": "testanother/surrender-index", "kernel_id": "34345659"}, {"ref": "testanother/classification-on-imbalanced-data", "kernel_id": "34128211"}, {"ref": "pschlais/quantifying-fair-catch-decision-quality", "kernel_id": "42801258"}, {"ref": "vinitkp/nflbigdatabowl-eda", "kernel_id": "47996328"}, {"ref": "rugwedt/notebook4225673ad6", "kernel_id": "70688952"}]}
{"competition_id": "30581", "kernels": []}
{"competition_id": "30585", "kernels": []}
{"competition_id": "30591", "kernels": [{"ref": "farji402/ba-baseline", "kernel_id": "20078165"}, {"ref": "aayush9753/basic-lstm-approach", "kernel_id": "20269051"}, {"ref": "aayush9753/datasetcreation", "kernel_id": "20267543"}, {"ref": "chaudharypriyanshu/1st-place-solution", "kernel_id": "20236026"}, {"ref": "rohandaniel/beyond-analysis-rd", "kernel_id": "20163188"}, {"ref": "priyaduttbhatt/estimating-customer-value", "kernel_id": "20393494"}, {"ref": "narenare/lstm-sequential", "kernel_id": "20480039"}, {"ref": "atiknageshwar/beyond-analysis-yb-copy2", "kernel_id": "20216905"}, {"ref": "atiknageshwar/beyond-analysis-42", "kernel_id": "20241499"}, {"ref": "atiknageshwar/fork-of-beyond-analysis-xgb", "kernel_id": "20236358"}, {"ref": "gowrishankarp/deepneuralnetwork-multitasking", "kernel_id": "20085826"}, {"ref": "aishikai/lstm-catboost-on-y2", "kernel_id": "20219949"}, {"ref": "gaurangthakur/beyond-analysis-2", "kernel_id": "21525441"}, {"ref": "gaurangthakur/beyond-analysis-1", "kernel_id": "21522989"}, {"ref": "nidhi1502/beyond-analysis", "kernel_id": "21668934"}]}
{"competition_id": "30605", "kernels": []}
{"competition_id": "30606", "kernels": []}
{"competition_id": "30610", "kernels": [{"ref": "jaystein/summer-training-problem-a", "kernel_id": "20251941"}, {"ref": "ankittomar1/mobile-price-xgboost-model", "kernel_id": "20221485"}, {"ref": "gaurav3435/xgbclassifier", "kernel_id": "20252115"}, {"ref": "mishabz4321/predict-whether-the-price-of-mobile-phones-is-high", "kernel_id": "20230558"}, {"ref": "emansalah2000/summer-training-a", "kernel_id": "20189456"}]}
{"competition_id": "30618", "kernels": []}
{"competition_id": "30623", "kernels": [{"ref": "kirichenko17roman/baseline-random-forest", "kernel_id": "20110800"}]}
{"competition_id": "30626", "kernels": [{"ref": "kirichenko17roman/baseline-dt", "kernel_id": "20113910"}]}
{"competition_id": "30634", "kernels": []}
{"competition_id": "30639", "kernels": [{"ref": "cselmo/modelo-sencillo", "kernel_id": "20451199"}, {"ref": "cselmo/modelo-sencillo-regresi-n-softmax", "kernel_id": "20451966"}]}
{"competition_id": "30648", "kernels": []}
{"competition_id": "30650", "kernels": [{"ref": "emansalah2000/summer-training-b", "kernel_id": "20197100"}]}
{"competition_id": "30653", "kernels": []}
{"competition_id": "30659", "kernels": []}
{"competition_id": "30660", "kernels": []}
{"competition_id": "30661", "kernels": []}
{"competition_id": "30664", "kernels": []}
{"competition_id": "30687", "kernels": []}
{"competition_id": "30688", "kernels": []}
{"competition_id": "30698", "kernels": [{"ref": "xyinspired/perceptron-implementation", "kernel_id": "21949708"}, {"ref": "nikitakuznetsovml/notebookc62cb2c3a3", "kernel_id": "21688036"}, {"ref": "romangalyaminskiy/galyaminskiy-hw7-perceptron", "kernel_id": "21948508"}]}
{"competition_id": "30699", "kernels": []}
{"competition_id": "30700", "kernels": []}
{"competition_id": "30719", "kernels": []}
{"competition_id": "30722", "kernels": []}
{"competition_id": "30728", "kernels": [{"ref": "nithyasharma/19mia1028-crimelearn-lr", "kernel_id": "20305175"}, {"ref": "aravindantr/notebook523554f0dd", "kernel_id": "20401115"}, {"ref": "gitanshsaharan/19mia1060-linear-reg-lab-2", "kernel_id": "20300832"}, {"ref": "mohamedhelmy96/notebook49fc3630d6", "kernel_id": "20244961"}]}
{"competition_id": "30734", "kernels": [{"ref": "kjwdubu/2021-ai-w7-p1-solution", "kernel_id": "20365799"}, {"ref": "kjwdubu/2021-ai-w7-p1-solution-2", "kernel_id": "21245122"}, {"ref": "xeno97/17011770-mnistdnn", "kernel_id": "21026710"}]}
{"competition_id": "30736", "kernels": [{"ref": "jiajia1/jiawang", "kernel_id": "20237573"}]}
{"competition_id": "30747", "kernels": []}
{"competition_id": "30748", "kernels": []}
{"competition_id": "30749", "kernels": []}
{"competition_id": "30755", "kernels": []}
{"competition_id": "30757", "kernels": [{"ref": "daechanhan/2021-ai-w6-p1-solution", "kernel_id": "20360917"}]}
{"competition_id": "30758", "kernels": [{"ref": "nmkt6e6d6b74/baseline", "kernel_id": "20283416"}, {"ref": "wakepon/masa-baseline", "kernel_id": "20284364"}, {"ref": "morimasataka/machine-learning-process-overview", "kernel_id": "20392736"}]}
{"competition_id": "30770", "kernels": []}
{"competition_id": "30788", "kernels": []}
{"competition_id": "30793", "kernels": []}
{"competition_id": "30801", "kernels": []}
{"competition_id": "30811", "kernels": []}
{"competition_id": "30812", "kernels": [{"ref": "pavfedotov/h20automl", "kernel_id": "20376203"}]}
{"competition_id": "30821", "kernels": []}
{"competition_id": "30826", "kernels": [{"ref": "mpwolke/widshiroshima", "kernel_id": "26373069"}]}
{"competition_id": "30833", "kernels": [{"ref": "rostepifanov/nnspt-emg-1d-cnn", "kernel_id": "51102472"}]}
{"competition_id": "30841", "kernels": []}
{"competition_id": "30846", "kernels": [{"ref": "butakovefim/focusstart-butakov-efim", "kernel_id": "20734621"}, {"ref": "butakovefim/notebookdbf32fb623", "kernel_id": "20805520"}, {"ref": "max9999/uplift-get-gpu", "kernel_id": "34157557"}]}
{"competition_id": "30849", "kernels": []}
{"competition_id": "30850", "kernels": []}
{"competition_id": "30862", "kernels": []}
{"competition_id": "30874", "kernels": []}
{"competition_id": "30892", "kernels": [{"ref": "hakhanh/robotsegmentaion", "kernel_id": "36370823"}, {"ref": "nguyenvanky/ver1-3", "kernel_id": "39499353"}, {"ref": "letuyenvn/unet-polyp", "kernel_id": "39781122"}, {"ref": "khanhnq204569/bkai-igh123", "kernel_id": "40662480"}, {"ref": "quanghieulee/unet-model", "kernel_id": "46202641"}, {"ref": "nhatquoc/deeplearning", "kernel_id": "46360135"}, {"ref": "cngonngc/unetpolyp-o-n-ng-c-c-ng-final", "kernel_id": "46341079"}, {"ref": "cngonngc/quickly-infer-kaggle-doanngoccuong-ipynb", "kernel_id": "46369702"}, {"ref": "hhiep4502/assignment-3", "kernel_id": "46141062"}, {"ref": "ngocminhta/notebookac880265af", "kernel_id": "46189035"}, {"ref": "dngchnhtrn/dl2023-210122", "kernel_id": "46176476"}, {"ref": "thhanguyen/tamver", "kernel_id": "46340639"}, {"ref": "thhanguyen/tamver2", "kernel_id": "46359136"}, {"ref": "theanng/dl-ver2", "kernel_id": "46249215"}, {"ref": "theanng/dl-assign", "kernel_id": "46220231"}, {"ref": "kinginblack23/bkai-neopolyp-hwdl", "kernel_id": "46222871"}, {"ref": "minhvtm/deep-learning-assignment", "kernel_id": "46162490"}, {"ref": "kienlmao/poylp", "kernel_id": "46240025"}, {"ref": "kagglecoder1/mainly-augment-512", "kernel_id": "46246945"}, {"ref": "kiet21042003/notebook-unet", "kernel_id": "46248798"}, {"ref": "thimcun/infer-notebook", "kernel_id": "46236723"}, {"ref": "thimcun/notebook-polyp", "kernel_id": "46204684"}, {"ref": "blazerblade/polyp-prediction-with-data-augmentation", "kernel_id": "46341213"}, {"ref": "chnhngnguyn/notebook-myneopolyps", "kernel_id": "47556806"}, {"ref": "khanhnq204569/bkai-infer", "kernel_id": "48312895"}, {"ref": "sarahhimeko/polyseg-resunet-for-endoscopic-polyp-segmentation", "kernel_id": "50002290"}, {"ref": "cssi87m/assignment-3", "kernel_id": "71460307"}, {"ref": "huy01234055137/gggaga", "kernel_id": "71476557"}, {"ref": "phucnguyendang18/polyp-only-random-gamma", "kernel_id": "73853000"}, {"ref": "phucnguyendang18/unet-finetune-base", "kernel_id": "73780771"}, {"ref": "minhnguyendichnhat/segformer", "kernel_id": "74158930"}, {"ref": "volodymyrmatus/bkai-igh-neopolyp", "kernel_id": "77735475"}, {"ref": "tungnguyenvu/deeplabv3-d-c", "kernel_id": "87025042"}, {"ref": "nopronvt/nguy-n-v-t-ng-22010512-deeplabv3", "kernel_id": "87517409"}, {"ref": "nopronvt/nguy-n-v-t-ng-22010512-segoformer", "kernel_id": "87342756"}, {"ref": "ducthinhhust/computer-vision", "kernel_id": "109282559"}, {"ref": "borshon10/polyp-segmentation", "kernel_id": "131025805"}]}
{"competition_id": "30894", "kernels": [{"ref": "lucasmorin/load-external-data-yfinance-pca-t-sne-umap", "kernel_id": "19701509"}, {"ref": "knightbearr/22-simple-python-program-knightbearr", "kernel_id": "20355342"}, {"ref": "konradb/super-simple-baseline", "kernel_id": "21720362"}, {"ref": "sudalairajkumar/simple-exploration-notebook-crypto-forecasting", "kernel_id": "21727544"}, {"ref": "danofer/g-research-starter-0-361-lb", "kernel_id": "21736991"}, {"ref": "brandenkmurray/missing-first-minute-of-each-month", "kernel_id": "21835436"}, {"ref": "sammyc33/crypto-eda-with-highcharts", "kernel_id": "21728815"}, {"ref": "dariotorregrossa/important-time-sequence-train-vs-test", "kernel_id": "21792459"}, {"ref": "neoistheone/myfirstmodification", "kernel_id": "21728574"}, {"ref": "neoistheone/version4-g-research-starter-lgbm-pipeline-0-455", "kernel_id": "21796976"}, {"ref": "pashadude/volatility-plots", "kernel_id": "21735154"}, {"ref": "code1110/gresearch-simple-lgb-starter", "kernel_id": "21737576"}, {"ref": "ebudia/recreating-target-min-periods-3750", "kernel_id": "21876913"}, {"ref": "weihong1510/lgbm-scoring", "kernel_id": "21728332"}, {"ref": "robikscube/predict-crypto-prices-twitch-stream", "kernel_id": "21724722"}, {"ref": "johnakwei/g-research-crypto-forecasting-r-python-xgb", "kernel_id": "21735024"}, {"ref": "alexfir/recreating-target", "kernel_id": "21768706"}, {"ref": "janani90/cryptoanalysis", "kernel_id": "21731354"}, {"ref": "bobber/baseline-to-the-g-research-crypto-competition", "kernel_id": "21837202"}, {"ref": "eladdv/neuralnet-with-extra-data", "kernel_id": "21845420"}, {"ref": "eladdv/lgbm-with-extra-data", "kernel_id": "21813706"}, {"ref": "sohier/basic-submission-template", "kernel_id": "21023340"}, {"ref": "sohier/detailed-api-introduction", "kernel_id": "21023356"}, {"ref": "cstein06/tutorial-to-the-g-research-crypto-competition", "kernel_id": "21258916"}, {"ref": "berserker408/crypto-tf-keras-nn-with-asset-embedding", "kernel_id": "21778708"}, {"ref": "julian3833/g-research-starter-lgbm-pipeline", "kernel_id": "21721076"}, {"ref": "julian3833/proposal-for-a-meaningful-lb-strict-lgbm", "kernel_id": "21789776"}, {"ref": "julian3833/s-g-research-strict-lgbm-example-lb-0-017", "kernel_id": "21741017"}, {"ref": "julian3833/g-research-using-the-overlap-fully-lb-0-99", "kernel_id": "21748884"}, {"ref": "gbolexx/crypto-forecasting-eda", "kernel_id": "21738643"}, {"ref": "docxian/crypto-forecasting-first-impressions", "kernel_id": "21720856"}, {"ref": "suneetsaini/beginner-s-lgbm-xgb-catboost", "kernel_id": "21848400"}, {"ref": "metathesis/torch-lstm-baseline-training-updated", "kernel_id": "21724143"}, {"ref": "sami116/first-steps-crypto-forecasting", "kernel_id": "21780909"}, {"ref": "jiripalek/g-r-01-data-reading-formatting-time-grouping", "kernel_id": "21733100"}, {"ref": "dschettler8845/g-research-crypto-forecasting-eda-rapids", "kernel_id": "21724507"}, {"ref": "dschettler8845/g-research-plotly-cufflinks-interactive-plots", "kernel_id": "21734346"}, {"ref": "hamditarek/g-research-crypto-forecasting-eda", "kernel_id": "21723159"}, {"ref": "roshanr11/eda-zero-to-hero-g-research-crypto-forecasting", "kernel_id": "21721426"}, {"ref": "arunamenon/crypto-forecasting-eda-model-training-pred", "kernel_id": "21763736"}, {"ref": "pardhu555/time-to-forecast", "kernel_id": "21742569"}, {"ref": "manelab/lgbm-with-extra-data-feature-engineering", "kernel_id": "21831165"}, {"ref": "manelab/extra-data-predict-on-multiple-assets", "kernel_id": "21886723"}, {"ref": "zhongguo/fork-of-g-research-starter", "kernel_id": "21780059"}, {"ref": "ayuraj/mlops-tutorial-xgboost-with-w-b", "kernel_id": "21810234"}, {"ref": "ayuraj/xgboost-hyperparameter-tuning-with-w-b-sweeps", "kernel_id": "21920010"}, {"ref": "avivlevi815/classic-pipeline", "kernel_id": "21879318"}, {"ref": "rdboyes/fast-time-series-api-interaction-in-r", "kernel_id": "21739084"}, {"ref": "develuse/tutorial-to-the-g-research-crypto-competition", "kernel_id": "21982956"}, {"ref": "develuse/technical-analysis-pattern-recognition-features", "kernel_id": "21761747"}, {"ref": "ajpass/reading-speed-comparation-between-file-formats", "kernel_id": "21758490"}, {"ref": "ajpass/strict-trying-to-understand-vwap", "kernel_id": "21737588"}, {"ref": "mingyangyi/xgb-extra-data-submit", "kernel_id": "21912354"}, {"ref": "mingyangyi/gresearch-arima", "kernel_id": "21964411"}, {"ref": "mingyangyi/g-research-crypto-xgb-lag", "kernel_id": "21969497"}, {"ref": "skostis/notebook754ee6b401", "kernel_id": "21787985"}, {"ref": "phanttan/g-research-plot-and-report", "kernel_id": "21724620"}, {"ref": "mmellinger66/crypto-eda-fe-playground", "kernel_id": "21986002"}, {"ref": "seraphwedd18/keras-lstm-with-embedding-on-tpu", "kernel_id": "21955088"}, {"ref": "seraphwedd18/g-research-crypto-exploring-the-data", "kernel_id": "21723916"}, {"ref": "dascient/cryptoforecast-univariate-lstm-rnn-approach", "kernel_id": "21807000"}, {"ref": "bukenyalukman/g-research-crypto-forecasting", "kernel_id": "21735182"}, {"ref": "hamzaghanmi/g-research-crypto-forecasting-eda", "kernel_id": "21718360"}, {"ref": "tfukuda675/g-research-data-over-view-and-visualization", "kernel_id": "21723215"}, {"ref": "unzule/probabilistic-forecasting-using-gluonts-ethereum", "kernel_id": "21884439"}, {"ref": "soumya9977/check-out-abhishek-thaku-s-autoxgb-in-action", "kernel_id": "21810878"}, {"ref": "omarmohamed22/tutorial-to-the-g-research-crypto-competition", "kernel_id": "21911147"}, {"ref": "vaibhavthakur/g-research-advanced-eda", "kernel_id": "21776015"}, {"ref": "meenakshiramaswamy/gresearch-simple-lstm", "kernel_id": "21726912"}, {"ref": "lucasmorin/crypto-forecasting-intro-eda", "kernel_id": "21738772"}, {"ref": "lucasmorin/crypto-forecasting-common-factors", "kernel_id": "21743747"}, {"ref": "lucasmorin/minimal-fast-baseline", "kernel_id": "21763882"}, {"ref": "lucasmorin/getting-all-1m-data-from-binance", "kernel_id": "21809681"}, {"ref": "lucasmorin/transforming-1m-data-from-binance", "kernel_id": "21812871"}, {"ref": "lucasmorin/crypto-forecasting-lgbm-feval-feature-importance", "kernel_id": "21936984"}, {"ref": "carlmcbrideellis/correlograms-of-14-cryptocurrencies-1-day", "kernel_id": "21985435"}, {"ref": "carlmcbrideellis/probabilistic-forecasting-using-gluonts-bitcoin", "kernel_id": "21876638"}, {"ref": "carlmcbrideellis/plotting-ohlc-and-v-ticker-data-using-mplfinance", "kernel_id": "21717624"}, {"ref": "tensorchoko/g-research-for-single-coins-valid-train-jp-en", "kernel_id": "21933780"}, {"ref": "tensorchoko/g-research-crypto-forecasting-eda", "kernel_id": "21783576"}, {"ref": "junichiromorita/tutorial-to-the-g-research-crypto-competition-jpn", "kernel_id": "21725940"}, {"ref": "tom99763/end-to-end-training", "kernel_id": "21734225"}, {"ref": "tom99763/single-step-lstm", "kernel_id": "21802479"}, {"ref": "tom99763/tensorflow-probability-inference", "kernel_id": "21824046"}, {"ref": "yasserhessein/g-research-crypto-with-purifier-autoviz", "kernel_id": "21728455"}, {"ref": "kalilurrahman/g-res-crypto-eda-and-forecast", "kernel_id": "21750209"}, {"ref": "dragonzhang/i-purchased-bitcoin", "kernel_id": "21854673"}, {"ref": "ishandutta/crypto-complete-eda-competition-understanding", "kernel_id": "21743883"}, {"ref": "yassinemesbahi/data-cleaning-candlestick-plot-rel-analysis", "kernel_id": "21984459"}, {"ref": "pradeepmiriyala/g-research-eda", "kernel_id": "21750910"}, {"ref": "theodorospsarras/cryptocurrency-forecasting", "kernel_id": "21889205"}, {"ref": "jirkaborovec/crypto-forecasting-with-lightning-flash", "kernel_id": "21722641"}, {"ref": "rameshgangwar/g-research-crypto-forecasting", "kernel_id": "21746300"}, {"ref": "haiyunhu/detailed-api-introduction", "kernel_id": "21733368"}, {"ref": "urstrulysai/here-s-the-train-csv-you-are-looking-for", "kernel_id": "21798539"}, {"ref": "jacintodavila/notebooka57d9d40dd", "kernel_id": "21767916"}, {"ref": "tarlannazarov/g-research-crypto-starter-xgb-pipeline", "kernel_id": "21738362"}, {"ref": "sudipg411/eda-and-data-vidualization", "kernel_id": "21719300"}, {"ref": "swaralipibose/feature-importance-with-gradients", "kernel_id": "21915527"}, {"ref": "swaralipibose/comparing-train-files-with-eda-on-crypto", "kernel_id": "21883591"}, {"ref": "swaralipibose/lgdm-model-with-new-features-better-generalization", "kernel_id": "21939809"}, {"ref": "swaralipibose/64-new-features-with-autoencoders", "kernel_id": "21953655"}, {"ref": "xiangchen1/g-research-crypto-competition", "kernel_id": "21745641"}, {"ref": "mohamedbakrey/g-research-crypto-forecasting-eda-pred", "kernel_id": "21721497"}, {"ref": "zulfikarisiklar/g-research-crypto-forecasting", "kernel_id": "21730926"}, {"ref": "odins0n/g-research-plots-eda", "kernel_id": "21721313"}, {"ref": "aviral23/time-series-store-sales-analysis-plotly", "kernel_id": "21475040"}, {"ref": "colt2brbr/check-data-lightbgm-template", "kernel_id": "21781991"}, {"ref": "gaganmaahi224/automation-of-eda-self-written-code", "kernel_id": "21799917"}, {"ref": "gaganmaahi224/automation-of-matplotlib-self-written-code", "kernel_id": "21838114"}, {"ref": "gaganmaahi224/auto-eda-and-lgbmregressor-for-beginners", "kernel_id": "21773549"}, {"ref": "rhythmcam/pandas-basic-to-datetime-usage", "kernel_id": "21838228"}, {"ref": "rhythmcam/gresearch-crypto-env-usage", "kernel_id": "21848235"}, {"ref": "junjitakeshima/crypto-beginner-s-try-for-simple-lgbm-en-jp", "kernel_id": "21732437"}, {"ref": "adityasharma01/g-research-starter-lgbm-pipeline-lb-0-5799", "kernel_id": "21737469"}, {"ref": "leejunseok97/g-research-crypto-forecasting-lightgbm", "kernel_id": "21881297"}, {"ref": "srasool/eda-data", "kernel_id": "21775162"}, {"ref": "shivansh002/i-purchased-bitcoin", "kernel_id": "21733615"}, {"ref": "whitecat0022/g-research-crypto-forecasting-lightgbm", "kernel_id": "21757985"}, {"ref": "whitecat0022/g-research-crypto-forecasting-xgb", "kernel_id": "21905921"}, {"ref": "whitecat0022/g-research-crypto-forecasting-ridge-cv", "kernel_id": "21866627"}, {"ref": "whitecat0022/g-research-crypto-forecasting-sklearn-nn", "kernel_id": "21877787"}, {"ref": "whitecat0022/g-research-crypto-forecasting-ridge", "kernel_id": "21845635"}, {"ref": "eranuragsingh/anurag-research-crypto-forecasting", "kernel_id": "21741897"}, {"ref": "sarawutposan/prediction", "kernel_id": "21200349"}, {"ref": "ankithanwate/g-research-starter-lgbm-pipeline-lb-0-174", "kernel_id": "21754161"}, {"ref": "vmuzhichenko/g-research-parallel-lstm-training", "kernel_id": "21804752"}, {"ref": "vmuzhichenko/g-research-simple-mlp-starter", "kernel_id": "21744335"}, {"ref": "prosperchuks/g-r-crypto-forecast", "kernel_id": "21763804"}, {"ref": "yoshioshiimoto/plot-financial-data-using-mplfinance-changed", "kernel_id": "21817849"}, {"ref": "yoshioshiimoto/plot-financial-data-changed", "kernel_id": "21821418"}, {"ref": "saumilagrawal10/g-research-starter-lgbm-pipeline-lb-high", "kernel_id": "21725586"}, {"ref": "kushtrivedi14728/g-research-crypto-forecasting-initial-phase", "kernel_id": "21746180"}, {"ref": "akshatjain1771/g-research-using-the-overlap-fully-lb-0-99", "kernel_id": "21849652"}, {"ref": "mohammadrahmati/technical-analysis-pattern-recognition-features", "kernel_id": "21756188"}, {"ref": "richmanbtc/20211103-gresearch-crypto-v1", "kernel_id": "21727909"}, {"ref": "brandenkmurray/g-research-crypto-repro-target-computation-fc4875", "kernel_id": "22073586"}, {"ref": "arrigo/simple-read-and-exploratory-data-analysis", "kernel_id": "22405587"}, {"ref": "isaacmg/forecasting-crypto-prices-with-the-informer", "kernel_id": "22120624"}, {"ref": "isaacmg/time-series-transformer", "kernel_id": "22734508"}, {"ref": "pashadude/changepointgraphs", "kernel_id": "22745851"}, {"ref": "jaybeeja/tensorflow-agents", "kernel_id": "22363036"}, {"ref": "weihong1510/reinforcementlearningattempt", "kernel_id": "22389110"}, {"ref": "weihong1510/supervised-learning", "kernel_id": "22548712"}, {"ref": "loicge/baseline-model-with-lgbm", "kernel_id": "22490067"}, {"ref": "jhasony/crypto-data-nn", "kernel_id": "22175547"}, {"ref": "fatihaslan/error", "kernel_id": "22098248"}, {"ref": "aralai/speed-up-data-loading", "kernel_id": "22649317"}, {"ref": "xuantianfengwu/digital-currency-competition", "kernel_id": "22508704"}, {"ref": "negstek/g-research-crypto-forecasting-modelization", "kernel_id": "22430861"}, {"ref": "negstek/crypto-prediction-catboost-regressor", "kernel_id": "22210586"}, {"ref": "negstek/g-research-crypto-forecasting-data-analysis", "kernel_id": "22802051"}, {"ref": "ktaichi/eda-g-research-crypto-competition", "kernel_id": "22002149"}, {"ref": "neosoonhua/5-9-mem-reduced-remove-test-data-from-train-data", "kernel_id": "22805461"}, {"ref": "fangya/cryptocurrency-data-visualization-arima", "kernel_id": "22540557"}, {"ref": "wolfgangb33r/crypto-randomforestregressor", "kernel_id": "22456143"}, {"ref": "mbonyani/time-series-modeling-tcn", "kernel_id": "22625991"}, {"ref": "mbonyani/step1-eda", "kernel_id": "22510250"}, {"ref": "alexisalvarez/eda-resampling-the-power-of-technical-analysis", "kernel_id": "22189474"}, {"ref": "sami116/extracting-trading-features", "kernel_id": "22080489"}, {"ref": "fernisty/g-research-reinforcement-learning-starter-b4ddb9", "kernel_id": "22336143"}, {"ref": "viannaandresouza/interactive-crypto-dashboard-indicators-g-crypto", "kernel_id": "22149881"}, {"ref": "viannaandresouza/crypto-prediction-technical-analysis-features", "kernel_id": "22151155"}, {"ref": "vi2018/g-research-crypto-repro-target-computation", "kernel_id": "22015284"}, {"ref": "markbquant/g-research-lgbm-predict-assets-and-calc-target", "kernel_id": "22721381"}, {"ref": "get2jawa/crypto-forecast-simple-basic-eda", "kernel_id": "22427370"}, {"ref": "neomatrix369/everything-you-can-do-with-a-time-series-cryptos", "kernel_id": "22711224"}, {"ref": "neomatrix369/everything-you-can-do-with-a-time-series-stocks", "kernel_id": "22687274"}, {"ref": "mingyangyi/g-research-crypto-xgb-cv", "kernel_id": "22046120"}, {"ref": "toomuchsauce/g-crypto-interactive-dashboard-indicators", "kernel_id": "22060110"}, {"ref": "johnrizcallah/lightgbm-with-techindicators-scaledtarget", "kernel_id": "22150808"}, {"ref": "osamurai/visualize-missing-data", "kernel_id": "22486829"}, {"ref": "osamurai/filtering-tutorial", "kernel_id": "22473223"}, {"ref": "osamurai/fft-analysis-tutorial", "kernel_id": "22426474"}, {"ref": "rkellner/bitcoin-techfeature-engineering-and-gru-network", "kernel_id": "22437885"}, {"ref": "rkellner/descriptive-analysis", "kernel_id": "22311769"}, {"ref": "rkellner/external-rnns", "kernel_id": "22489905"}, {"ref": "rkellner/easy-booster", "kernel_id": "22682943"}, {"ref": "dascient/cryptofore-arima-forecasting-approach", "kernel_id": "22194366"}, {"ref": "neodory/jane-street-1st-place-solution-crypto-pytorch", "kernel_id": "22613615"}, {"ref": "gianlab/current-forecasts-of-cryptocurrencies", "kernel_id": "22215122"}, {"ref": "mdominguez2010/crypto-competish", "kernel_id": "22617006"}, {"ref": "ursueugen/exploration-of-g-research-crypto", "kernel_id": "22871846"}, {"ref": "kazutaka65k/the-g-research-crypto-competition-simple-lgbm", "kernel_id": "22718143"}, {"ref": "iamleonie/time-series-interpreting-acf-and-pacf", "kernel_id": "22058008"}, {"ref": "craniket/g-research-data-creation", "kernel_id": "22958470"}, {"ref": "sam4om/g-research-crypto-forecasting-lgbmregressor", "kernel_id": "22034771"}, {"ref": "songseungwon/crypto-forecasting-tutorial", "kernel_id": "22734605"}, {"ref": "songseungwon/data-partitioning-for-each-crypto-asset", "kernel_id": "22802672"}, {"ref": "saraswatitiwari/g-research-crypto-forecasting", "kernel_id": "22531439"}, {"ref": "lucasmorin/on-line-feature-engineering", "kernel_id": "22206880"}, {"ref": "lucasmorin/online-fe-nn-loss-shap", "kernel_id": "22444640"}, {"ref": "lucasmorin/ensemble-submission-with-on-line-fe", "kernel_id": "22445075"}, {"ref": "lucasmorin/online-fe-lgbm-feval-importances", "kernel_id": "22417494"}, {"ref": "carlmcbrideellis/granger-causality-part-ii-the-movie", "kernel_id": "22040709"}, {"ref": "carlmcbrideellis/granger-causality-testing-for-1-day", "kernel_id": "22004239"}, {"ref": "carlmcbrideellis/irrational-exuberance-s-p-vs-bitcoin", "kernel_id": "22207104"}, {"ref": "mayujie/cnn-lstm", "kernel_id": "22738776"}, {"ref": "tensorchoko/g-research-train-single-one-line", "kernel_id": "22723859"}, {"ref": "tensorchoko/g-research-inference-single-one-line", "kernel_id": "22793022"}, {"ref": "tensorchoko/g-research-test", "kernel_id": "22026559"}, {"ref": "tensorchoko/g-research-allcoins-inference", "kernel_id": "22182439"}, {"ref": "tensorchoko/g-research-allcoins-train", "kernel_id": "22174223"}, {"ref": "samyukthamobile/light-gbm-regression-eda-cv", "kernel_id": "22522658"}, {"ref": "samyukthamobile/auto-ts-pipeline-bitcoin", "kernel_id": "22509844"}, {"ref": "gaurav3435/beginning-crypto-competition", "kernel_id": "22129337"}, {"ref": "alexandredurand/knn-asset-id", "kernel_id": "22232865"}, {"ref": "ekaterinakryukova/g-research", "kernel_id": "22939490"}, {"ref": "damoonshahhosseini/timeseries", "kernel_id": "22526667"}, {"ref": "zacharyluscher/purgedgrouptimeseries-cv-with-extra-data-nn", "kernel_id": "22441421"}, {"ref": "zacharyluscher/probabilistic-forecasting-using-gluonts-bi-7a3072", "kernel_id": "22521734"}, {"ref": "sddarkblue/crypto", "kernel_id": "22853716"}, {"ref": "imchentouf/g-research-crypto-forecasting-with-arima", "kernel_id": "22020911"}, {"ref": "yassinemesbahi/technical-indicators-generation-using-ta-lib", "kernel_id": "22194913"}, {"ref": "yassinemesbahi/feature-engineering", "kernel_id": "22110457"}, {"ref": "wyyiam/for-crypto", "kernel_id": "22568697"}, {"ref": "cecileguillot/examples-of-feature-engineering-on-3-cryptos", "kernel_id": "22661752"}, {"ref": "cecileguillot/eda-and-exponential-smoothing-on-bitcoin", "kernel_id": "22354981"}, {"ref": "cecileguillot/naive-drift-and-regression-approaches", "kernel_id": "22363166"}, {"ref": "laxmikantnishad/crypto-predict-xgb", "kernel_id": "22025703"}, {"ref": "kuboko/crypto-datacomplement-plot", "kernel_id": "22181223"}, {"ref": "omarhammemi/tutorial-to-the-g-research-crypto-competition", "kernel_id": "22903403"}, {"ref": "tarlannazarov/fast-cuml-random-forest-regressor-crypto", "kernel_id": "22067075"}, {"ref": "swaralipibose/why-not-use-cube-root-for-outliers-improved-score", "kernel_id": "22153950"}, {"ref": "swaralipibose/detailed-api-introduction-300351", "kernel_id": "22268900"}, {"ref": "swaralipibose/explaining-the-target-variable-clearly-with-proof", "kernel_id": "22422781"}, {"ref": "swaralipibose/most-efficient-way-to-submit-lagged-features-all", "kernel_id": "22783216"}, {"ref": "swaralipibose/replacing-nan-targets-with-recreated-targets", "kernel_id": "22647449"}, {"ref": "swaralipibose/new-features-eda-using-elon-musk-and-crypto-trends", "kernel_id": "22503070"}, {"ref": "swaralipibose/new-features-training-notebook-and-feature-eval", "kernel_id": "22502835"}, {"ref": "swaralipibose/metric", "kernel_id": "22484567"}, {"ref": "swaralipibose/target-recreation-but-its-99-percent-accurate", "kernel_id": "22532823"}, {"ref": "jackwilliams3rd/unixtimechangetoyear-month-day-time", "kernel_id": "22540197"}, {"ref": "kartik2khandelwal/time-series-analysis-facebook-prophet", "kernel_id": "22458901"}, {"ref": "kartik2khandelwal/bitcoin-crash-prediction", "kernel_id": "22184889"}, {"ref": "abhishekme19b069/crypto-prediction-xgb-regressor-extra-data-gpu", "kernel_id": "22453083"}, {"ref": "taavetkalda/g-research-crypto-linear-regression", "kernel_id": "22096342"}, {"ref": "odins0n/exploring-time-series-plots-beginners-guide", "kernel_id": "22055351"}, {"ref": "sergears/simplified-two-asset-model-feature-engineering", "kernel_id": "22042517"}, {"ref": "soumyajitdatta/crypto-forecasting", "kernel_id": "22087539"}, {"ref": "choirdan/crypto-xgb-submittrial", "kernel_id": "22915976"}, {"ref": "choirdan/nofeature-crypto-xgb-tune", "kernel_id": "22914891"}, {"ref": "ysairaajpatro/g-research-lstm-temporal-attention-notebook", "kernel_id": "22967898"}, {"ref": "niquelaugust/pvrple-time-series", "kernel_id": "22419077"}, {"ref": "niquelaugust/blvck", "kernel_id": "22446783"}, {"ref": "niquelaugust/pvrple-crypto-dash-indicators", "kernel_id": "22454066"}, {"ref": "gaganmaahi224/everything-you-need-to-know-in-plotly", "kernel_id": "22504721"}, {"ref": "northpatawee/crypto-forecasting-exploratory-data-analysis", "kernel_id": "22166468"}, {"ref": "tomforbes/gresearch-submitting-lagged-features-via-api", "kernel_id": "22746263"}, {"ref": "xuchenrui/crypto-forecasting", "kernel_id": "22501179"}, {"ref": "jagofc/target-reconstruction-quick-summary-of-sota", "kernel_id": "22949499"}, {"ref": "jagofc/local-api-emulator", "kernel_id": "22888660"}, {"ref": "jagofc/target-reconstruction-what-s-up-with-2018-01-03", "kernel_id": "22679666"}, {"ref": "ycliffd/g-research-crypto-competition-baseline-0001", "kernel_id": "22186030"}, {"ref": "pralabhpoudel/bitcoin-eda-and-forcasting-using-pycaret", "kernel_id": "22225375"}, {"ref": "samuraiurvish/crypto-predict-xgb", "kernel_id": "22040371"}, {"ref": "corneliuskristianto/crypto-technical-indicator-and-ml-prediction", "kernel_id": "22174023"}, {"ref": "anshulyadavsi/basic-data-munging", "kernel_id": "22721136"}, {"ref": "shakshyathedetector/crypto-prediction-technical-analysis-features", "kernel_id": "22009175"}, {"ref": "whitecat0022/g-research-crypto-forecasting-visualization", "kernel_id": "22235609"}, {"ref": "yliu27/g-research-starter-lgbm-pipeline-copied", "kernel_id": "22358776"}, {"ref": "kumudsingh9/g-research-crypto-prediction", "kernel_id": "22071342"}, {"ref": "minhajulhoque/deep-learning-and-plotting-for-crypto-forecasting", "kernel_id": "22393924"}, {"ref": "minhajulhoque/reddit-crytocurrency-sentiment-analyser", "kernel_id": "22547885"}, {"ref": "ankithanwate/g-research-starter-lgbm-pipeline", "kernel_id": "22440880"}, {"ref": "quentinmarichez/pcaanalysisis", "kernel_id": "22261703"}, {"ref": "yuyougnchan/titanic-eda-visualization-prediction-baseline", "kernel_id": "22206180"}, {"ref": "yuyougnchan/look-at-this-note-numeric-variable-is-easy", "kernel_id": "22322709"}, {"ref": "leanboosting/automating-feature-engineering-part-ii", "kernel_id": "22097240"}, {"ref": "leanboosting/automating-feature-engineering-part-i", "kernel_id": "22093616"}, {"ref": "leanboosting/automating-feature-engineering-part-iii", "kernel_id": "22217257"}, {"ref": "olegkonovalov/notebook0e769ed93b", "kernel_id": "22816278"}, {"ref": "mattgrowden/gresearch-1st-test-submission", "kernel_id": "22755562"}, {"ref": "mattgrowden/gresearch-classification", "kernel_id": "22949645"}, {"ref": "edisonyi/g-research-crypto-linear-regression-with-cv", "kernel_id": "22112425"}, {"ref": "hamidhouari/simple-exploration-notebook-crypto-foreca-db8d22", "kernel_id": "22245360"}, {"ref": "aquiver123/g-research-guada", "kernel_id": "22326066"}, {"ref": "wangyashuu/g-research-crypto-forecasting-1-intro-explore", "kernel_id": "22354946"}, {"ref": "nik0lis/final-version", "kernel_id": "22660860"}, {"ref": "nik0lis/better-version", "kernel_id": "22861707"}, {"ref": "wenqingniu/g-research-lightgbm-with-gpu-fit-in-1min", "kernel_id": "22993686"}, {"ref": "pappukrjha/eda-101", "kernel_id": "23824976"}, {"ref": "devcon/g-research-crypto-eda-vs-binance", "kernel_id": "23819360"}, {"ref": "yrtchn/simple-baseline-based-on-one-prop-score-around-02", "kernel_id": "23947327"}, {"ref": "nrcjea001/lgbm-embargocv-weightedpearson-lagtarget", "kernel_id": "23938293"}, {"ref": "rluethy/crypto-prediction-xgb-using-polars", "kernel_id": "23514787"}, {"ref": "karankrishna/crypto-forecasting", "kernel_id": "23746461"}, {"ref": "lundet/kompetenseftermiddag-crypto-forecasting", "kernel_id": "23946712"}, {"ref": "dennisgwilson/train-test-split", "kernel_id": "23609753"}, {"ref": "vweimer/crypto-forecasting-all-until-modeling", "kernel_id": "23660316"}, {"ref": "watchman/lama-crypto-forecasting", "kernel_id": "23866917"}, {"ref": "marcogorelli/lgbm-ts-cv-negative-correlation-eval-metric", "kernel_id": "23778157"}, {"ref": "marcogorelli/random-number-generator", "kernel_id": "23566678"}, {"ref": "vbmokin/g-research-crypto-forecasting-baseline-fe", "kernel_id": "23922237"}, {"ref": "justinus/crypto-buys-prediction-using-rnn-model", "kernel_id": "23371997"}, {"ref": "ghaiyur/baseline-model-using-lgbmregressor", "kernel_id": "23660730"}, {"ref": "fengyanli/are-we-training-models-on-an-inaccurate-target", "kernel_id": "23041387"}, {"ref": "usam9048/notebook3afd867e81", "kernel_id": "23946213"}, {"ref": "franksunp/eda-of-g-research-crypto-forecasting-competition", "kernel_id": "23095013"}, {"ref": "franksunp/information-u-need-for-g-research-crypto-forecast", "kernel_id": "23754294"}, {"ref": "sajidurrehman1/version-1-0", "kernel_id": "23151133"}, {"ref": "sajidurrehman1/simple-exploration-notebook-crypto-forecasting", "kernel_id": "23160754"}, {"ref": "houssemayed/benchmarking-for-cryptocurrency-forecasting", "kernel_id": "23653430"}, {"ref": "lqqyeah/g-research-crypto", "kernel_id": "23616168"}, {"ref": "neomatrix369/everything-you-can-do-with-a-time-series-metals", "kernel_id": "23044906"}, {"ref": "stpeteishii/g-research-crypto-train-data-eda", "kernel_id": "23460666"}, {"ref": "stpeteishii/crypt-target-visualize-importance", "kernel_id": "23987384"}, {"ref": "aimalrehman92/exploratoryanalysis", "kernel_id": "23614635"}, {"ref": "freedom870601/gresearch-submitting-lagged-features-via-api", "kernel_id": "23897839"}, {"ref": "weiczh/g-research-crypto-forecasting-test", "kernel_id": "23347111"}, {"ref": "wptouxx/g-research-cointegration-analysis", "kernel_id": "23814226"}, {"ref": "mikhailg0/notebook788638a243", "kernel_id": "23590238"}, {"ref": "mikhailg0/g-research-ts", "kernel_id": "23586883"}, {"ref": "baratheonr6/g-research-indicator-plug-and-play-features", "kernel_id": "23799967"}, {"ref": "axzhang/pipeline-building-purgedkfold", "kernel_id": "23709503"}, {"ref": "axzhang/pipeline-building-featureengineering-stage2", "kernel_id": "23711730"}, {"ref": "axzhang/s-baseline-lgb-reproduce-the-lb-score", "kernel_id": "23005581"}, {"ref": "axzhang/pipeline-building-dataprepare", "kernel_id": "23581550"}, {"ref": "axzhang/pipeline-building-crossvalidation", "kernel_id": "23574917"}, {"ref": "axzhang/pipeline-building-featureengineering-stage1", "kernel_id": "23603844"}, {"ref": "vasileios22/crypto-chunk-analysis", "kernel_id": "23856992"}, {"ref": "maricinnamon/g-research-forecast-overlap-score-0-9999", "kernel_id": "23992330"}, {"ref": "p7476762/ethereum-predict-close-target", "kernel_id": "23890046"}, {"ref": "p7476762/bitcoin-predict-close-target-with-lstm", "kernel_id": "23732091"}, {"ref": "craniket/g-research-lgbm-cross-validation-forecasting", "kernel_id": "23668118"}, {"ref": "craniket/g-research-bayesian-hyperparameter-optimization", "kernel_id": "23995139"}, {"ref": "tanaybanerjee/exploring-g-research-crypto-and-time-series", "kernel_id": "23875180"}, {"ref": "gmw2088/calculate-the-realized-market-series-and-beta", "kernel_id": "23841909"}, {"ref": "anggidwifiani/crypto-forecast-stackml", "kernel_id": "23437298"}, {"ref": "tknakamu/eda-predict-value-from-other-assets", "kernel_id": "23631644"}, {"ref": "azzamradman/g-research-more-eda", "kernel_id": "23454919"}, {"ref": "hidebu/examination-of-features-using-lgbm-en-jp", "kernel_id": "23636007"}, {"ref": "pathanamjadkhan/lbgm-g-search", "kernel_id": "23866001"}, {"ref": "tangjiantin/strict-light-gbm", "kernel_id": "23118481"}, {"ref": "tangjiantin/overlap-light-gbm", "kernel_id": "23119271"}, {"ref": "limweixuan1994/cryptocurrency-forecasting", "kernel_id": "23767189"}, {"ref": "linjoseph/g-research-parallel-lstm-training", "kernel_id": "23877220"}, {"ref": "sanidhayasharma/notebookaa8fc79a3c", "kernel_id": "23478945"}, {"ref": "isaac22chang/cryptopredictionnotebook1", "kernel_id": "23200576"}, {"ref": "h1yung/crypto-forecasting-using-lgbm", "kernel_id": "23097499"}, {"ref": "jaeyongbae/lgbm-xgboost-g-research-crypto", "kernel_id": "23781769"}, {"ref": "puhuajiang/keras-time-series-transformer", "kernel_id": "23256678"}, {"ref": "platonfedorov/g-research-crypto-forecasting-test-lgbm", "kernel_id": "23668304"}, {"ref": "rizkynindra/crypto-v2", "kernel_id": "23824611"}, {"ref": "rizkynindra/crypto-fix-version", "kernel_id": "23968429"}, {"ref": "amishra527/g-research-crypto-forecasting", "kernel_id": "23024458"}, {"ref": "maratkhisamutdinov/g-research-xgboost-starter-notebook", "kernel_id": "23468666"}, {"ref": "maratkhisamutdinov/regression-models", "kernel_id": "23556894"}, {"ref": "maratkhisamutdinov/xgboost-hyperparams", "kernel_id": "23595320"}, {"ref": "maratkhisamutdinov/svr-hp", "kernel_id": "23607442"}, {"ref": "pascalct/crypto-forecast", "kernel_id": "23775040"}, {"ref": "fanyuanlai/g-research-crypto-forecasting", "kernel_id": "23726204"}, {"ref": "girishkumarsahu/g-research-crypto-forecasting", "kernel_id": "23585624"}, {"ref": "girishkumarsahu/g-research-crypto-forecasting-v2", "kernel_id": "23965011"}, {"ref": "justineyeh/dl-lab4-lstm", "kernel_id": "23761773"}, {"ref": "sinrinosekai/prophet-gresearch", "kernel_id": "23561803"}, {"ref": "rashmikagamage/g-research-crypto-forecast", "kernel_id": "23604375"}, {"ref": "matthieubritoantunes/g-research-data-wrangling-and-exploratory-analysis", "kernel_id": "23763380"}, {"ref": "matthieubritoantunes/g-research-time-series-specific-exploration", "kernel_id": "23800394"}, {"ref": "valentinzastrozhny/time-series-modeling-lstm", "kernel_id": "23758283"}, {"ref": "tomforbes/errors-in-supplemental-train-csv", "kernel_id": "23898677"}, {"ref": "ryanlucaskaggle/notebook1f04575fdc", "kernel_id": "23771347"}, {"ref": "xuchenrui/torch-lstm-baseline-training", "kernel_id": "23598736"}, {"ref": "jagofc/detailed-local-api-introduction", "kernel_id": "23715652"}, {"ref": "jagofc/local-api", "kernel_id": "23713898"}, {"ref": "amareshmarekar/crypto-forecasting-with-lgbm-gridsearch", "kernel_id": "23728798"}, {"ref": "zuyderzee/crypto-challenge-mlii-project-feature-engineering", "kernel_id": "23915745"}, {"ref": "zuyderzee/crypto-challenge-mlii-project-submission", "kernel_id": "23915017"}, {"ref": "hiroki8383/base-analysis", "kernel_id": "23584447"}, {"ref": "michelleting/220113", "kernel_id": "23812146"}, {"ref": "kazuyasumatsudaf/team-1-arima", "kernel_id": "23959938"}, {"ref": "gengdaiziwang/are-we-training-models-on-an-inaccurate-target", "kernel_id": "23003237"}, {"ref": "parikshitsharma2001/crypto", "kernel_id": "23901121"}, {"ref": "kitopl/bigginner-g-research-base-lgbm-model", "kernel_id": "23969800"}, {"ref": "kitopl/g-research-data-outline", "kernel_id": "23912949"}, {"ref": "lamtrinh259/g-research-catboost-model-cv", "kernel_id": "23784903"}, {"ref": "jhao0214/time-series-modeling-lstm", "kernel_id": "23788812"}, {"ref": "kushtrivedi14728/presumption-crypto-analytics", "kernel_id": "23733971"}, {"ref": "kushtrivedi14728/crypto", "kernel_id": "23734426"}, {"ref": "dennis107303511/project4", "kernel_id": "23769225"}, {"ref": "ashishjha040994/crypto-forecasting-by-ashish-jha", "kernel_id": "23771435"}, {"ref": "frankihalberd/notebook34b0ed51cb", "kernel_id": "23817533"}, {"ref": "inateam/cryptocurrency-prediction", "kernel_id": "23714488"}, {"ref": "martinshengyenlin/lightgbm-original-with-sup-data-test", "kernel_id": "23920837"}, {"ref": "qtphan110522604/g-research-gru-training-modified", "kernel_id": "23822432"}, {"ref": "mattgrowden/gresearch-regression", "kernel_id": "23615304"}, {"ref": "aymanmezghani/gresearch-crypto-env-usage", "kernel_id": "23410440"}, {"ref": "jtorres2408/xgboost-nested-forward-rolling-cv", "kernel_id": "23419084"}, {"ref": "zwartfreak/g-research-crypto-forecasting-complete-explanation", "kernel_id": "23406698"}, {"ref": "andreybabushkin/notebook1ddc44d489", "kernel_id": "23854359"}, {"ref": "telmabahiahajar/projet-machine-learning-telma-bahia-hajar", "kernel_id": "23925127"}, {"ref": "drabovich/1st-place-of-jane-street-adapted-to-crypto", "kernel_id": "24162895"}, {"ref": "joelqv/crypto-leaderboard-20220218", "kernel_id": "24785766"}, {"ref": "nishimoto/g-research-simple-lightgbm-lb-0-0123-55th", "kernel_id": "24462471"}, {"ref": "ankit001/mlp-prediction", "kernel_id": "24081564"}, {"ref": "yukieleventyone/g-research-final", "kernel_id": "24301728"}, {"ref": "vweimer/gresearch-feature-engineering-and-modeling", "kernel_id": "24082081"}, {"ref": "ungugu/runningaverage-randomizedsearchcv-lgbm-modelsaving", "kernel_id": "24329967"}, {"ref": "bturan19/lgb-3fold-rollingagg-lagtarget-submissioninference", "kernel_id": "24346651"}, {"ref": "syxuming/pytorch-lstm-14-model-traning-inference", "kernel_id": "24041168"}, {"ref": "arunkr1/g-research-crypto-eda", "kernel_id": "24428648"}, {"ref": "rabbani18/gcryptoforecasting-usinglstm", "kernel_id": "24290069"}, {"ref": "petersk20/tree-based-methods", "kernel_id": "24366257"}, {"ref": "osamurai/implementation-cpcv", "kernel_id": "24087133"}, {"ref": "kupershtein/g-research-crypto-forecasting-baseline-fe", "kernel_id": "24050320"}, {"ref": "ursueugen/missing-data-in-g-research-crypto-forecasting", "kernel_id": "24023738"}, {"ref": "ursueugen/random-predictions", "kernel_id": "24031450"}, {"ref": "axzhang/fast-and-accurate-online-feature-generator", "kernel_id": "24090411"}, {"ref": "maricinnamon/g-research-xgboost", "kernel_id": "24183961"}, {"ref": "maricinnamon/g-research-exploratory-data-analysis-lin-regr", "kernel_id": "24026914"}, {"ref": "mishki/tutorial-time-series-exploration-crypto-price", "kernel_id": "24104271"}, {"ref": "zhaoyuanyuanzyy/notebook-nbeats-with-simplified-features", "kernel_id": "24321397"}, {"ref": "antoineguenin/g-research-eda", "kernel_id": "24590663"}, {"ref": "antoineguenin/g-research-models-sarimax-lstm-rfst-lin", "kernel_id": "24590727"}, {"ref": "mayank00rastogi/g-research-forecast-overlap", "kernel_id": "24160234"}, {"ref": "yassershrief/questions-and-answers-eda-to-forecasting", "kernel_id": "24107147"}, {"ref": "yassershrief/lgbm-regressor-forecasting-and-evaluation", "kernel_id": "24107134"}, {"ref": "yassershrief/crypo-lstm-2022-actual-price-91-acc", "kernel_id": "24160149"}, {"ref": "sanjayanbu/crypto-forecasting", "kernel_id": "24038383"}, {"ref": "yuchang61/g-feature-engineering-20220122", "kernel_id": "24061942"}, {"ref": "vclavmatjka/notebook9a17029bcc", "kernel_id": "24226844"}, {"ref": "vladimirperdih/crypto-candle-analysis", "kernel_id": "24847078"}, {"ref": "alikmondal/g-research-crypto-eda-v2", "kernel_id": "24397439"}, {"ref": "ahmadhumayun/crypto-prophet-demo", "kernel_id": "24508150"}, {"ref": "omarhammemi/g-research-starter-lgbm-pipeline", "kernel_id": "24042818"}, {"ref": "korinyamada/notebook295f151a9f", "kernel_id": "24156583"}, {"ref": "hyewon328/time-series-modeling-guide-with-cv-and-optuna", "kernel_id": "24156316"}, {"ref": "youssefouertani/g-search-fe-pca-linearrreg", "kernel_id": "24074314"}, {"ref": "fritzcremer/consecutive-ones-prediction", "kernel_id": "24859973"}, {"ref": "yhx003/g-research-mtgnn-notebook", "kernel_id": "24234583"}, {"ref": "tomforbes/target-engineering", "kernel_id": "24309778"}, {"ref": "jillanisofttech/g-research-using-the-overlap-fully-accuracy", "kernel_id": "24134227"}, {"ref": "serhiizhukov/crypto-forecasting-fe-from-other-assets-bch-lgbm0", "kernel_id": "24333938"}, {"ref": "sachinudgam/cryptocurrency-price-prediction-in-r-using-xgboost", "kernel_id": "24111228"}, {"ref": "zuyderzee/crypto-challenge-mlii-project-training-cv", "kernel_id": "24270728"}, {"ref": "kitopl/g-research-base-lgbm-cv", "kernel_id": "24053793"}, {"ref": "rafalradwanski/g-research-features-to-increase-your-score", "kernel_id": "24166724"}, {"ref": "lamtrinh259/g-research-crypto-lstm", "kernel_id": "24173039"}, {"ref": "shimingyuan/strict-lightgbm-baseline-1a9b60", "kernel_id": "24067627"}, {"ref": "daviddsdp/binance-coin-1-1-21-14-2-22", "kernel_id": "24412200"}, {"ref": "ttyryan/crypto-forecasting-visualization", "kernel_id": "24006076"}, {"ref": "natnitarach/crypto-forecasting-0-1-lgbm-qho", "kernel_id": "24293335"}, {"ref": "natnitarach/crypto-forecasting-1-1-saemlp-qho", "kernel_id": "24434314"}, {"ref": "favournwajoko/g-research-crypto-simple-xgb-regression", "kernel_id": "24265250"}, {"ref": "mustafakeser4/seasonality-with-deterministicprocess-cal-fourier", "kernel_id": "24258024"}, {"ref": "andreybabushkin/xgboost", "kernel_id": "24003005"}, {"ref": "mmisty/lstm-6-features-by-r", "kernel_id": "24088190"}, {"ref": "sadeka007/crypto-forecasting-with-lgbm-v3-0", "kernel_id": "25395894"}, {"ref": "sytuannguyen/crypto-eda", "kernel_id": "25439042"}, {"ref": "fritzcremer/leaderboard-shakeup", "kernel_id": "25417490"}, {"ref": "tomforbes/13th-place-final-sub", "kernel_id": "25413793"}, {"ref": "mohamedikbalguetout/ikbal", "kernel_id": "25263027"}, {"ref": "julio5168/crypto-forecasting-with-lgbm-v3-0", "kernel_id": "25661111"}, {"ref": "vbmokin/crypto-btc-xgb-prediction", "kernel_id": "26175731"}, {"ref": "mobiliser/final-draft", "kernel_id": "26948123"}, {"ref": "takeshimorimura/14th-place-final-submission", "kernel_id": "26810948"}, {"ref": "sugghi/inference-3rd-place-solution", "kernel_id": "26870955"}, {"ref": "sugghi/training-3rd-place-solution", "kernel_id": "26863718"}, {"ref": "arthurhsu/forecasting-with-talib-feature-engineering", "kernel_id": "26470067"}, {"ref": "naji468/inspecting-crypto-market", "kernel_id": "27877292"}, {"ref": "lifelesson/crypto-forecasting-with-lgbm-v3-0", "kernel_id": "27171543"}, {"ref": "ghassenalaya/forecasting", "kernel_id": "27794454"}, {"ref": "mesofianeyou/spaceship-titanic-eda-fi-80-of-accuracy", "kernel_id": "27760851"}, {"ref": "jamilistiaq/predicting-2", "kernel_id": "27928377"}, {"ref": "rriceice/tutorial-to-the-g-research-crypto-competition", "kernel_id": "27350136"}, {"ref": "rriceice/recreating-target", "kernel_id": "27370294"}, {"ref": "xushuyuan/return-rate-prediction-and-position-management", "kernel_id": "27778348"}, {"ref": "katiebuchhorn/pca-anomaly-detection-illustration", "kernel_id": "27259802"}, {"ref": "shravankumar147/tutorial-to-the-g-research-crypto-competition", "kernel_id": "28810808"}, {"ref": "gabrielet/1st-place-of-jane-street-adapted-to-cr-e71493", "kernel_id": "28803343"}, {"ref": "tangtunyu/lstm-starter", "kernel_id": "29538805"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "yogeshchauhan318/sentimental-analysis-reddit", "kernel_id": "30320898"}, {"ref": "aponni/kaggle-time-series-simplified", "kernel_id": "31226313"}, {"ref": "giuseppeambrosio/crypto-portfolio-optimization-markowitz-portfolio", "kernel_id": "31557112"}, {"ref": "federicominutoli/crypto-portfolio-optimization-training-test-split", "kernel_id": "31013716"}, {"ref": "federicominutoli/lab-crypto-portfolio-optimization-exploration", "kernel_id": "31964693"}, {"ref": "ankhezra/learning-from-the-3rd-place-solution", "kernel_id": "31481525"}, {"ref": "ananyaroy1011/space-and-time-analytics-demo", "kernel_id": "32365534"}, {"ref": "jacobrho/crypto-forecasting", "kernel_id": "32329027"}, {"ref": "dengyifu/training-3rd-place-solution", "kernel_id": "32583100"}, {"ref": "dohuuthieu/everything-you-can-do-with-a-time-series-c-20e972", "kernel_id": "33164222"}, {"ref": "tahahabib/crypto-forecasting", "kernel_id": "33288875"}, {"ref": "tranhuunghia/cryptos", "kernel_id": "33189236"}, {"ref": "claraliu888888/econ570", "kernel_id": "33126342"}, {"ref": "fauzanmohammed/time-series", "kernel_id": "34064474"}, {"ref": "guizaniadel/portfolio-optimization-roi-enhencement", "kernel_id": "34985054"}, {"ref": "senapatirajesh/time-series-plots", "kernel_id": "34098242"}, {"ref": "youssefmecky/crypto-prediction", "kernel_id": "35105502"}, {"ref": "ayushsunny/exploring-time-series-plots-beginners-guide", "kernel_id": "38438223"}, {"ref": "nlpquant/crypto-time-series", "kernel_id": "38990317"}, {"ref": "nlpquant/crypto-tabular-model", "kernel_id": "38316921"}, {"ref": "nlpquant/crypto-causal", "kernel_id": "38494157"}, {"ref": "nlpquant/crypto-tabular-featureengineering", "kernel_id": "38182803"}, {"ref": "yolovo/g-research-baseline", "kernel_id": "38186489"}, {"ref": "pappudkapgate/time-series-interpreting-acf-and-pacf", "kernel_id": "41022248"}, {"ref": "alikmondal/cryptoforecasting-stats-ml-v2", "kernel_id": "41512474"}, {"ref": "marypy/i-purchased-bitcoin", "kernel_id": "43156989"}, {"ref": "yantaoxi/everything-you-can-do-with-a-time-series-stocks", "kernel_id": "45094928"}, {"ref": "mafs6010zluoxinyang/notebook629b073b92", "kernel_id": "46850145"}, {"ref": "asmitkr/new-ml-final", "kernel_id": "46796102"}, {"ref": "asmitkr/notebooke3481eccfd", "kernel_id": "46737999"}, {"ref": "qinfhao/notebook572d854798", "kernel_id": "47228846"}, {"ref": "qinfhao/fork-of-g-research2", "kernel_id": "47343852"}, {"ref": "felixf20/crypto-technical-indicator-and-ml-prediction", "kernel_id": "53130248"}, {"ref": "jaraxxus922/recreating-target", "kernel_id": "53330249"}, {"ref": "oliveryounger/crypto-forecasting", "kernel_id": "55134291"}, {"ref": "bohuccaarroott/math5470-hu-wu-qiu-wang", "kernel_id": "55760488"}, {"ref": "cardata/g-research-crypto-forecasting", "kernel_id": "56953245"}, {"ref": "amirst/g-research-crypto-forecasting-solution-true-env", "kernel_id": "57043763"}, {"ref": "pss42480/hw6-huihanyang", "kernel_id": "61181611"}, {"ref": "nandodmelo/training-3rd-place-w-ou-supple", "kernel_id": "65142774"}, {"ref": "abdelrahmanmelsayed/crypto-feature-engineering-29m-rows-in-8-minutes", "kernel_id": "66062335"}, {"ref": "abdelrahmanmelsayed/feature-importance", "kernel_id": "66498262"}, {"ref": "thanhsmile/training-anh-duy-lgbm", "kernel_id": "72538710"}, {"ref": "mazeem2901/crypto-forecasting-fe-from-other-assets-bch-lgbm0", "kernel_id": "77363929"}, {"ref": "torrentbrave/g-research-crypto-forecasting-getting-1m-data", "kernel_id": "85727278"}, {"ref": "torrentbrave/g-research-crypto-forecasting-transforming-1m", "kernel_id": "86010369"}, {"ref": "cookingfunda/crypto-eda-btc-eth-trends-returns", "kernel_id": "86860389"}, {"ref": "cookingfunda/crypto-return-prediction-ridge-lightgbm", "kernel_id": "86992667"}, {"ref": "ussha47/time-series-interpreting-acf-and-pacf", "kernel_id": "90217864"}, {"ref": "oosmansadiq/crypto-forecasting", "kernel_id": "107086825"}, {"ref": "semihyldrm07/notebookdfe5c25be1", "kernel_id": "115887207"}, {"ref": "tson2956/training-3rd-place-solution", "kernel_id": "129748288"}, {"ref": "tson2956/draft-0", "kernel_id": "130231026"}]}
{"competition_id": "30900", "kernels": [{"ref": "deepak915/how-to-handle-column-mismatch-ann", "kernel_id": "20503911"}]}
{"competition_id": "30905", "kernels": []}
{"competition_id": "30907", "kernels": [{"ref": "adhamghoname/fork-of-flower-segmentation-starter-notebook-a4375", "kernel_id": "20603366"}, {"ref": "adhamghoname/flower-segmentation-starter-notebook-a4375f", "kernel_id": "20588783"}, {"ref": "mohamedelfeky/flower-segmentation-unet-with-voting", "kernel_id": "20488368"}, {"ref": "mohamedelfeky/flower-segmentation-unetmodel", "kernel_id": "20722156"}, {"ref": "yahiamohamed/flower-segmentation-starter-notebook", "kernel_id": "20509968"}, {"ref": "abdelfatahmohamed/flower-segmentation-starter-notebook-7dbcc2", "kernel_id": "20747803"}, {"ref": "sarahali232/flower-segmentation", "kernel_id": "20511814"}, {"ref": "ahmedtaha8889/flowersegmentation-unet-pytorch", "kernel_id": "50576809"}]}
{"competition_id": "30911", "kernels": []}
{"competition_id": "30914", "kernels": []}
{"competition_id": "30919", "kernels": []}
{"competition_id": "30924", "kernels": []}
{"competition_id": "30928", "kernels": []}
{"competition_id": "30932", "kernels": []}
{"competition_id": "30937", "kernels": []}
{"competition_id": "30962", "kernels": []}
{"competition_id": "30971", "kernels": []}
{"competition_id": "30977", "kernels": []}
{"competition_id": "30990", "kernels": []}
{"competition_id": "30993", "kernels": []}
{"competition_id": "30996", "kernels": []}
{"competition_id": "30997", "kernels": []}
{"competition_id": "31010", "kernels": [{"ref": "arquez9512/baseline-hyperparameter-optimized-randomforest", "kernel_id": "21306070"}]}
{"competition_id": "31017", "kernels": [{"ref": "pavelfomin/products-classification-pytorch-bert", "kernel_id": "61669746"}, {"ref": "dmitrysolod/notebook76143649f1", "kernel_id": "61682575"}, {"ref": "amankumarjha2020/natural-language-processing-with-e-commerce-data", "kernel_id": "65517638"}]}
{"competition_id": "31025", "kernels": []}
{"competition_id": "31039", "kernels": []}
{"competition_id": "31041", "kernels": []}
{"competition_id": "31081", "kernels": []}
{"competition_id": "31082", "kernels": []}
{"competition_id": "31083", "kernels": []}
{"competition_id": "31084", "kernels": []}
{"competition_id": "31085", "kernels": []}
{"competition_id": "31101", "kernels": []}
{"competition_id": "31105", "kernels": []}
{"competition_id": "31108", "kernels": [{"ref": "f20180439/team-21-submission", "kernel_id": "20851769"}, {"ref": "rajathv5/final89perc", "kernel_id": "21587089"}, {"ref": "f20180458/team-14-fire-detection", "kernel_id": "21551065"}, {"ref": "digvijaysinhmane/group-7-best-model", "kernel_id": "21595255"}, {"ref": "pranavgoyal2308/final", "kernel_id": "21538024"}, {"ref": "ishitajaiswal15/team16-submission", "kernel_id": "21607255"}]}
{"competition_id": "31118", "kernels": [{"ref": "kvlmll/baseline-0", "kernel_id": "20611569"}]}
{"competition_id": "31123", "kernels": []}
{"competition_id": "31133", "kernels": []}
{"competition_id": "31137", "kernels": [{"ref": "erenkonta/amazon-in-nerilen-sistemi", "kernel_id": "68912665"}]}
{"competition_id": "31138", "kernels": []}
{"competition_id": "31139", "kernels": []}
{"competition_id": "31141", "kernels": []}
{"competition_id": "31148", "kernels": []}
{"competition_id": "31153", "kernels": []}
{"competition_id": "31155", "kernels": []}
{"competition_id": "31164", "kernels": []}
{"competition_id": "31176", "kernels": [{"ref": "yariqgunes/boost-notebook", "kernel_id": "21434759"}, {"ref": "maximtarkovski/proba", "kernel_id": "21357391"}]}
{"competition_id": "31177", "kernels": [{"ref": "tiandrioni/course-project", "kernel_id": "23777194"}]}
{"competition_id": "31179", "kernels": []}
{"competition_id": "31185", "kernels": [{"ref": "vabatista/sentiment-analysis-for-reviews-starter-code", "kernel_id": "20698541"}]}
{"competition_id": "31197", "kernels": []}
{"competition_id": "31203", "kernels": []}
{"competition_id": "31209", "kernels": []}
{"competition_id": "31214", "kernels": []}
{"competition_id": "31216", "kernels": []}
{"competition_id": "31219", "kernels": []}
{"competition_id": "31226", "kernels": []}
{"competition_id": "31228", "kernels": []}
{"competition_id": "31230", "kernels": []}
{"competition_id": "31235", "kernels": []}
{"competition_id": "31243", "kernels": []}
{"competition_id": "31250", "kernels": [{"ref": "younggod/notebook581d63475e", "kernel_id": "20808985"}]}
{"competition_id": "31254", "kernels": [{"ref": "inversion/most-common-purchase-benchmark", "kernel_id": "23969526"}, {"ref": "konradb/product-embeddings", "kernel_id": "24825100"}, {"ref": "paweljankiewicz/hm-create-dataset-samples", "kernel_id": "24702288"}, {"ref": "sachin/popular-products", "kernel_id": "24846722"}, {"ref": "danofer/h-m-rec-eda", "kernel_id": "24512502"}, {"ref": "danofer/implicit-cf-starter", "kernel_id": "24523764"}, {"ref": "danofer/time-eda-co-occurence-baseline-0-009", "kernel_id": "24533193"}, {"ref": "danofer/h-m-implicit-model-0-007", "kernel_id": "24533257"}, {"ref": "danofer/h-m-seasonal-baseline-0-004", "kernel_id": "24534474"}, {"ref": "pankajkumar/know-your-customer", "kernel_id": "24779964"}, {"ref": "joelqv/h-m-exploration-baseline", "kernel_id": "24590297"}, {"ref": "joelqv/h-m-product-similarity-1-embeddings-knn", "kernel_id": "24709280"}, {"ref": "joelqv/h-m-product-similarity-2-results", "kernel_id": "24715706"}, {"ref": "wti200/cold-start", "kernel_id": "24495067"}, {"ref": "gspmoreira/h-m-recsys-dataset-profiler-eda-with-rapids", "kernel_id": "24569825"}, {"ref": "george86/calculate-map-12-fast-faster-fastest", "kernel_id": "24741142"}, {"ref": "krsnewwave/standard-reco-eda", "kernel_id": "24559865"}, {"ref": "blackpouh/h-m-product-recommendations-eda", "kernel_id": "24651055"}, {"ref": "stassl/h-m-interactive-product-embeddings-explorer", "kernel_id": "24855139"}, {"ref": "abhilashawasthi/not-so-fancy-but-fast-benchmark", "kernel_id": "24494323"}, {"ref": "stautxie/h-m-competition-eda", "kernel_id": "24718863"}, {"ref": "mayukh18/time-decaying-popularity-benchmark-0-0216", "kernel_id": "24815012"}, {"ref": "mayukh18/svd-model-reranking-implicit-to-explicit-feedback", "kernel_id": "24974975"}, {"ref": "stephenleo/h-m-eda-and-prediction-using-plotly", "kernel_id": "24635602"}, {"ref": "davidedwards1/h-m-eda", "kernel_id": "24750491"}, {"ref": "davidedwards1/h-m-seasonality-v3", "kernel_id": "24796953"}, {"ref": "hervind/h-m-generate-item-pairs", "kernel_id": "24977782"}, {"ref": "hervind/h-m-calculate-map-12-from-public-notebooks", "kernel_id": "24721719"}, {"ref": "johnakwei/h-m-recommendation-coding-in-r", "kernel_id": "24929994"}, {"ref": "thefreezer/new-h-m", "kernel_id": "24863382"}, {"ref": "byfone/h-m-trending-products-weekly", "kernel_id": "24820577"}, {"ref": "byfone/h-m-purchase-history-optimization", "kernel_id": "24821622"}, {"ref": "gpreda/h-m-eda-and-prediction", "kernel_id": "24574233"}, {"ref": "astrung/recbole-lstm-sequential-for-recomendation-tutorial", "kernel_id": "24997703"}, {"ref": "anshumoudgil/h-m-ecommerce", "kernel_id": "24779792"}, {"ref": "aussie84/product-profiling-and-price-trend-analysis", "kernel_id": "24800424"}, {"ref": "aussie84/create-customer-attribute-dataset", "kernel_id": "24961922"}, {"ref": "julian3833/h-m-collaborative-filtering-user-user", "kernel_id": "24704998"}, {"ref": "julian3833/h-m-content-based-12-most-popular-items-0-007", "kernel_id": "24500092"}, {"ref": "julian3833/h-m-implicit-als-model-0-014", "kernel_id": "24517914"}, {"ref": "hengzheng/time-is-our-best-friend", "kernel_id": "24531072"}, {"ref": "hengzheng/time-is-our-best-friend-v2", "kernel_id": "24564789"}, {"ref": "jasonbian/apriori-and-association-rules", "kernel_id": "24992510"}, {"ref": "jasonbian/h-m-personalized-fashion-model-1", "kernel_id": "24816771"}, {"ref": "jacob34/popular-benchmark-in-29-lines-of-code", "kernel_id": "24599370"}, {"ref": "shionhonda/h-m-overview-of-tabular-part", "kernel_id": "24719762"}, {"ref": "shionhonda/h-m-which-algorithm-is-the-best-ask-recbole", "kernel_id": "24806599"}, {"ref": "bsridatta/h-m-an-eda", "kernel_id": "24676107"}, {"ref": "hanifansari93/starter-als-using-pyspark", "kernel_id": "24541641"}, {"ref": "derrickmwiti/exploring-transactions-plotly", "kernel_id": "24567337"}, {"ref": "derrickmwiti/using-fbprophet-to-forecast-the-total-price", "kernel_id": "24511595"}, {"ref": "derrickmwiti/time-series-with-keras", "kernel_id": "24592459"}, {"ref": "derrickmwiti/how-to-make-submissions-using-kaggle-s-api", "kernel_id": "24666987"}, {"ref": "derrickmwiti/simple-spark-recommender-system", "kernel_id": "24692518"}, {"ref": "nehagupta8092/h-m-initial-data-analysis-and-insights", "kernel_id": "24502442"}, {"ref": "chiranjeevbit/h-m-personalized-recommendation-eda-wordcloud", "kernel_id": "24593311"}, {"ref": "revathiprakash/h-m-eda-product-customer-trends", "kernel_id": "24775839"}, {"ref": "lichtlab/h-m-data-deep-dive-chap-1-understand-article", "kernel_id": "24541865"}, {"ref": "lichtlab/do-customers-buy-the-same-products-again", "kernel_id": "24729300"}, {"ref": "hamditarek/h-m-fashion-recommendations", "kernel_id": "24495408"}, {"ref": "hamditarek/similar-image-cnn-cosine-similarity", "kernel_id": "24523483"}, {"ref": "sonmou/h-m-eda-introduction", "kernel_id": "24755546"}, {"ref": "cdeotte/recommend-items-purchased-together-0-021", "kernel_id": "24815980"}, {"ref": "cdeotte/customers-who-bought-this-frequently-buy-this", "kernel_id": "24771889"}, {"ref": "thieuma06/h-m-table-eda", "kernel_id": "24577271"}, {"ref": "nandeshwar/mean-average-precision-map-k-metric-explained-code", "kernel_id": "24782970"}, {"ref": "arunamenon/fashion-recommendations-complete-eda", "kernel_id": "24641523"}, {"ref": "takanobu0210/h-m-customer-only-women", "kernel_id": "24818435"}, {"ref": "beezus666/eda-basics", "kernel_id": "24652546"}, {"ref": "nikhilgulwade/h-m-recommendations-implicit-als-with-gpu-0-018", "kernel_id": "24760824"}, {"ref": "kei96kag/h-m-data-understanding-by-r", "kernel_id": "24641113"}, {"ref": "jakelj/h-m-fashion-eda", "kernel_id": "24494883"}, {"ref": "kaerunantoka/h-m-eda-w-pyspark", "kernel_id": "24539688"}, {"ref": "kaerunantoka/h-m-how-to-calculate-map-12", "kernel_id": "24640679"}, {"ref": "ginkobalboa/h-m-word-counting", "kernel_id": "24598946"}, {"ref": "onslaught/h-m-eda-additional-insights", "kernel_id": "24597452"}, {"ref": "tianmin/data-exploration-of-h-m-product-recommendation", "kernel_id": "24495465"}, {"ref": "tianmin/what-do-we-know-about-sales-channel-id", "kernel_id": "24563328"}, {"ref": "jacky2wong/h-m-projector-visualisation", "kernel_id": "24615778"}, {"ref": "susnato/h-m-lightfm", "kernel_id": "24942888"}, {"ref": "iseurie/hmrec-image-encoder", "kernel_id": "24817509"}, {"ref": "masaponto/h-m-rgcn-annoy", "kernel_id": "24821612"}, {"ref": "masaponto/similar-department-name-but-different-number", "kernel_id": "24798307"}, {"ref": "masaponto/h-m-lightgbm-train-and-feature-importance", "kernel_id": "24761092"}, {"ref": "masaponto/h-and-m-split-dataset-by-year", "kernel_id": "24621549"}, {"ref": "masaponto/h-and-m-swint-image-embedding", "kernel_id": "24727647"}, {"ref": "cedricsvrn/h-m-eda-baseline-cosine-similarity-als", "kernel_id": "24510701"}, {"ref": "joatom/hm-relationship-of-article-columns", "kernel_id": "24778889"}, {"ref": "bipinkapri/h-m-data-exploration-plots-insights", "kernel_id": "24585496"}, {"ref": "bipinkapri/deep-dive-articles-what-are-we-recommending", "kernel_id": "24754405"}, {"ref": "bipinkapri/base-recommender-imputation-eda", "kernel_id": "24623765"}, {"ref": "sravanneeli/h-m-eda", "kernel_id": "24574244"}, {"ref": "palash97/part-1-eda-data-cleaning-feature-engineering", "kernel_id": "24612400"}, {"ref": "vickeytomer/h-m-eda-exploration", "kernel_id": "24530538"}, {"ref": "mpwolke/kaggle-shopping-is-my-cardio", "kernel_id": "24566672"}, {"ref": "rupakroy/h-h-catalog-forecasting", "kernel_id": "24555138"}, {"ref": "hamzaghanmi/h-m-pfr-eda", "kernel_id": "24494224"}, {"ref": "undersc0re/start-here-boom-boom", "kernel_id": "24511735"}, {"ref": "juststas/hm-recsys-first-runs", "kernel_id": "24647628"}, {"ref": "maricinnamon/h-m-fashion-eda-predictions", "kernel_id": "24875323"}, {"ref": "tomooinubushi/folk-of-time-is-our-best-friend", "kernel_id": "24534941"}, {"ref": "jarvisai7/224x224-is-the-shape-you-need", "kernel_id": "24514195"}, {"ref": "johnnync13/collaborative-recsys-based-item", "kernel_id": "24924390"}, {"ref": "cosmosankur/handm-eda-and-first-look", "kernel_id": "24639728"}, {"ref": "ahsanzaman/h-m-exploratory-data-analysis-visualizations", "kernel_id": "24693284"}, {"ref": "tensorchoko/h-m-personalized-eda-jp-en", "kernel_id": "24582453"}, {"ref": "sytuannguyen/h-m-fast-eda-and-memory-reduction", "kernel_id": "24497155"}, {"ref": "alexvishnevskiy/lstm-generation", "kernel_id": "24629319"}, {"ref": "alexvishnevskiy/ranking-user-features", "kernel_id": "24942288"}, {"ref": "alexvishnevskiy/ranking-item-features", "kernel_id": "24965974"}, {"ref": "alexvishnevskiy/gbm-ranking", "kernel_id": "24993146"}, {"ref": "sanjaylalwani/h-msolution", "kernel_id": "24555581"}, {"ref": "souamesannis/tips-to-work-efficiently-with-the-dataset", "kernel_id": "24793504"}, {"ref": "kalilurrahman/h-m-fashion-recommendation-analysis", "kernel_id": "24505926"}, {"ref": "vanguarde/h-m-eda-first-look", "kernel_id": "24506993"}, {"ref": "ishandutta/in-depth-eda-all-files-competition-understanding", "kernel_id": "24503621"}, {"ref": "deepakkaura/h-m-insightful-plots-and-prediction", "kernel_id": "24639093"}, {"ref": "mukeshmanral/why-h-m-cares-about-product-recommendation", "kernel_id": "24557665"}, {"ref": "bextuychiev/full-tutorial-on-image-processing-in-skimage", "kernel_id": "24757175"}, {"ref": "negoto/h-m-sales-period-of-fashion-items-with-k-means", "kernel_id": "24610891"}, {"ref": "negoto/h-m-age-adjusted-and-time-discounted-bestsellers", "kernel_id": "24503658"}, {"ref": "negoto/h-m-best-selling-items-catalog-like-eda", "kernel_id": "24494074"}, {"ref": "ransakaravihara/item-similarity-for-content-based-recommendation", "kernel_id": "24968030"}, {"ref": "edwardcrookenden/eda-co-occurence-baseline-0-017", "kernel_id": "24496710"}, {"ref": "remekkinas/h-m-eda-first-look-into-data", "kernel_id": "24495717"}, {"ref": "sameersanjaybhosale/h-m-customer-data-eda", "kernel_id": "24799309"}, {"ref": "debarshichanda/understanding-mean-average-precision", "kernel_id": "24504621"}, {"ref": "oberfink/content-based-image-filtering-for-recommendation", "kernel_id": "24726770"}, {"ref": "manatoyaguchi/h-m-variational-autoencoder-with-pytorch", "kernel_id": "24553068"}, {"ref": "manatoyaguchi/h-m-easy-eda-sample-images-japanese-english", "kernel_id": "24509543"}, {"ref": "bhavinmoriya/customers-who-bought-this-frequently-buy-this", "kernel_id": "24811413"}, {"ref": "vishalgrover5/h-m-basic-eda-notebook", "kernel_id": "24554152"}, {"ref": "yujihirano/h-and-m-kaggle-eda", "kernel_id": "24613225"}, {"ref": "sayanroy729/eda-large-dataset-using-vaex-alternative-of-pd", "kernel_id": "24554858"}, {"ref": "shubhamsindal0098/h-m-data-visualization", "kernel_id": "24658375"}, {"ref": "takaito/h-m-topic-model-tutorial", "kernel_id": "24569096"}, {"ref": "desalegngeb/h-m-personalized-fashion-recommendations-eda", "kernel_id": "24495945"}, {"ref": "hechtjp/eda-based-on-timeseries", "kernel_id": "24944612"}, {"ref": "mirenaborisova/h-m-eda-01", "kernel_id": "24990437"}, {"ref": "pascalparlindungang/h-m-eda-transaction-purchases-in-2019", "kernel_id": "24761474"}, {"ref": "priyankabhargava/h-m-dataset", "kernel_id": "24828328"}, {"ref": "yahelnachum/h-m-eda-mine", "kernel_id": "24990172"}, {"ref": "hiroshisakiyama/recommending-top-12-articles", "kernel_id": "24596054"}, {"ref": "hiroshisakiyama/recommending-items-recently-bought", "kernel_id": "24777647"}, {"ref": "tajinderpalsingh61/h-m-eda-and-insights", "kernel_id": "24613110"}, {"ref": "pietromaldini1/fast-experiment", "kernel_id": "24622717"}, {"ref": "pietromaldini1/transaction-price-a-first-analysis", "kernel_id": "24702302"}, {"ref": "pietromaldini1/an-easy-baseline-weighted-top-popular", "kernel_id": "24680727"}, {"ref": "nozarchos/grouped-recommendation", "kernel_id": "24893314"}, {"ref": "adamdudek/recommenders", "kernel_id": "24925671"}, {"ref": "amishra527/h-m-personalized-fashion", "kernel_id": "24695264"}, {"ref": "kaiusdepaulacorrea/what-fashion-looks-like-eda-h-m", "kernel_id": "24722330"}, {"ref": "lightening3rd/eda-of-customers-and-articles", "kernel_id": "24571070"}, {"ref": "odins0n/h-m-image-resizer-dataset-256x256", "kernel_id": "24505471"}, {"ref": "ludovicocuoghi/h-m-sales-and-customers-deep-analysis", "kernel_id": "24755751"}, {"ref": "rudiboiii/paired-items-by-sex-0-0212", "kernel_id": "24925511"}, {"ref": "rashmikagamage/eda-v1", "kernel_id": "24692632"}, {"ref": "mehral/h-m-valentine-week-eda", "kernel_id": "24619771"}, {"ref": "growbigger/matrix-recommender-als", "kernel_id": "24500638"}, {"ref": "growbigger/fixed-article-vector-network", "kernel_id": "24613451"}, {"ref": "kazukikomori/h-m-eda-v1-simple", "kernel_id": "24824508"}, {"ref": "jillanisofttech/h-m-personalized-fashion-recommendation", "kernel_id": "24571811"}, {"ref": "shigeeeru/add-gender-feature", "kernel_id": "24903519"}, {"ref": "sayamray/h-m-personalized-recommendation-detailed-eda", "kernel_id": "24591590"}, {"ref": "junjitakeshima/h-m-easy-grouping-by-sex-attribute-age-en-jp", "kernel_id": "24981654"}, {"ref": "hongeunlee/h-m-recommendation-with-similarity-of-articles", "kernel_id": "24902169"}, {"ref": "leejunseok97/h-m-personalize-fashion-recommendation", "kernel_id": "24635965"}, {"ref": "meghaljambhale/what-s-trending-on-h-m", "kernel_id": "24559031"}, {"ref": "madhuo/notebookf579195987", "kernel_id": "24753260"}, {"ref": "robyngiraldez/h-m-exploratory-analysis", "kernel_id": "24953314"}, {"ref": "kavyagowdala/h-m-data-analysis", "kernel_id": "24901361"}, {"ref": "yashvardhanprasad/h-m-eda-starter", "kernel_id": "24627657"}, {"ref": "arcute/h-m-competition", "kernel_id": "24505431"}, {"ref": "aanisha07/h-m-product-recommendation-eda", "kernel_id": "24620821"}, {"ref": "mdbodrulalam/h-m-personalized-fashion-recommendations", "kernel_id": "24576391"}, {"ref": "lunapandachan/h-m-eda", "kernel_id": "24826028"}, {"ref": "luckypen/personalized-fashion-recommendations", "kernel_id": "24674359"}, {"ref": "chandanagopal2712/data-preparation-for-h-m-recommendation", "kernel_id": "24567811"}, {"ref": "zhangchen123/eda-submit", "kernel_id": "24726732"}, {"ref": "bell2psy/h-m-prediction-eda-version0-1", "kernel_id": "24764392"}, {"ref": "pranalibose/h-m-eda-getting-started", "kernel_id": "24837859"}, {"ref": "mdjafrilalamshihab/h-m-magic-of-eda-awesome-score", "kernel_id": "24880775"}, {"ref": "pauljef/eda-sunburst-chart-cool-visualization", "kernel_id": "24750303"}, {"ref": "jinyingjie/notebook4731f5ba49", "kernel_id": "24809450"}, {"ref": "sindalshubham231/h-m-data-visualization", "kernel_id": "24530136"}, {"ref": "rohan1506/optimizing-pandas-like-a-pro", "kernel_id": "24438047"}, {"ref": "ismailbaris/memory-efficient-image-and-data-format", "kernel_id": "24651078"}, {"ref": "melodyyiphoiching/h-m-recommendations", "kernel_id": "24834523"}, {"ref": "melodyyiphoiching/h-m-data-exploration-visualization", "kernel_id": "24881270"}, {"ref": "anerishingde/h-m-implicit-als-model-0-013", "kernel_id": "24580131"}, {"ref": "vivihu19/notebookde0157f7f7", "kernel_id": "24883817"}, {"ref": "titericz/h-m-ensembling-how-to", "kernel_id": "25213108"}, {"ref": "ceshine/h-m-recently-purchased-item-baseline", "kernel_id": "25769850"}, {"ref": "ravimandliya/h-m-eda-first-look", "kernel_id": "25191383"}, {"ref": "deepaksadulla/h-m-recommendations-combined-features", "kernel_id": "25450546"}, {"ref": "CVxTz/image-and-text-embeddings-resnet-transformers", "kernel_id": "25355785"}, {"ref": "aerdem4/h-m-pure-pytorch-baseline", "kernel_id": "25460201"}, {"ref": "rickykonwar/h-m-lightfm-nofeatures", "kernel_id": "25110014"}, {"ref": "rickykonwar/h-m-exploratorydataanalysis", "kernel_id": "25048834"}, {"ref": "rickykonwar/h-m-lightfm-5articlefeatures", "kernel_id": "25318439"}, {"ref": "rickykonwar/h-m-lightfm-nofeatures-hyperparamter-tuning", "kernel_id": "25365963"}, {"ref": "zhaoxf7/hnm-eda-python-project", "kernel_id": "25327373"}, {"ref": "zhaoxf7/ctr-model-gbdt-lr", "kernel_id": "25333337"}, {"ref": "hervind/h-m-faster-trending-products-weekly", "kernel_id": "25148845"}, {"ref": "atulverma/h-m-ensembling-with-lstm", "kernel_id": "25334845"}, {"ref": "byfone/h-m-purchases-in-a-row", "kernel_id": "25116944"}, {"ref": "pmanresa6/simple-baseline-with-local-validation-template", "kernel_id": "25430274"}, {"ref": "leesungreong/eda-customer-article-transaction-special-customer", "kernel_id": "25150012"}, {"ref": "leesungreong/eda-detailed-article-text-mining", "kernel_id": "25184256"}, {"ref": "astrung/sequential-model-fixed-missing-last-item", "kernel_id": "25495867"}, {"ref": "astrung/lstm-model-with-item-infor-fix-missing-last-item", "kernel_id": "25528166"}, {"ref": "astrung/lstm-sequential-modelwith-item-features-tutorial", "kernel_id": "25150446"}, {"ref": "astrung/eda-extract-campaign-from-transactions", "kernel_id": "25154881"}, {"ref": "astrung/eda-extract-user-metadata-to-apply-deep-model", "kernel_id": "25311905"}, {"ref": "astrung/recbole-using-all-items-for-prediction", "kernel_id": "25482823"}, {"ref": "sussudharsan/h-m-similar-products-recommender-script", "kernel_id": "25659646"}, {"ref": "sussudharsan/h-m-eda-understanding-the-data", "kernel_id": "25221293"}, {"ref": "junkoda/article-id-and-release-date", "kernel_id": "25475626"}, {"ref": "aussie84/clustering-based-on-image-similarity-vs-categories", "kernel_id": "25091275"}, {"ref": "datark1/detailed-eda-understanding-h-m-data", "kernel_id": "25101591"}, {"ref": "igjit1/my-first-h-m-submission-with-r", "kernel_id": "25841937"}, {"ref": "tarique7/hnm-exponential-decay-with-alternate-items", "kernel_id": "25042906"}, {"ref": "jasonbian/apriori-and-association-rules-try-2", "kernel_id": "25785243"}, {"ref": "ratthachat/h-m-customer-compact-summary-micro-eda", "kernel_id": "25135792"}, {"ref": "jacob34/cdeotte-pairs-in-3-minutes", "kernel_id": "25725913"}, {"ref": "michaeltkuo/h-m-kaggle-competition-initial-practice", "kernel_id": "25464911"}, {"ref": "lorenzopagliaro01/h-m-ranker-pyspark-lgbmranker", "kernel_id": "25945857"}, {"ref": "lichtlab/0-0226-byfone-chris-combination-approach", "kernel_id": "25086124"}, {"ref": "pavithra23/eda-for-h-m-data-1", "kernel_id": "25250590"}, {"ref": "beezus666/tensor-flow-recommender-quick-start", "kernel_id": "25807047"}, {"ref": "yukou00takahashi/h-m-0-0226-faster-version", "kernel_id": "25159063"}, {"ref": "tbierhance/basic-best-seller-prediction-w-cross-validation", "kernel_id": "25704020"}, {"ref": "tbierhance/product-launches-relevant-articles-customers", "kernel_id": "25782939"}, {"ref": "tbierhance/scale-images-without-distortion", "kernel_id": "25591195"}, {"ref": "tbierhance/basic-data-prep-memory-performance-saver", "kernel_id": "25074251"}, {"ref": "tbierhance/article-images", "kernel_id": "25329905"}, {"ref": "harsh2040/h-m-with-ploty-express", "kernel_id": "25792771"}, {"ref": "pyy0715/let-s-predict-the-articles-with-the-will-be-sold", "kernel_id": "25235961"}, {"ref": "tan0ry0/just-looking-ipynb", "kernel_id": "25625630"}, {"ref": "rayanaay/h-m-resnet18-encoding-within-your-reach", "kernel_id": "25145282"}, {"ref": "aimalrehman92/basic-eda-h-m", "kernel_id": "25805357"}, {"ref": "noahjadallah/final-notebook", "kernel_id": "25120198"}, {"ref": "berkeakkaya/nlp-based-h-m-recsys", "kernel_id": "25566875"}, {"ref": "figfiglol/lightfm-recommendation-system-with-h-m-data", "kernel_id": "25983949"}, {"ref": "yagike525/h-m-pure-pytorch-baseline", "kernel_id": "25842340"}, {"ref": "jaloeffe92/h-m-ensembling-lb-0-0234", "kernel_id": "25562067"}, {"ref": "guoyonfan/improved-h-m-pure-pytorch-baseline", "kernel_id": "25530439"}, {"ref": "salmaneunus/movie-eda-recommendation-system", "kernel_id": "25114320"}, {"ref": "salmaneunus/h-m-personalized-recommendation-simple-eda", "kernel_id": "25072961"}, {"ref": "andradaolteanu/h-m-eda-rapids-and-similarity-recommenders", "kernel_id": "25351530"}, {"ref": "rajsengo/extract-data-for-recomm-v3-modular-pipeline", "kernel_id": "25651902"}, {"ref": "tea0925ds/dtale-eda", "kernel_id": "25487272"}, {"ref": "xavi2411/factorizationmachine", "kernel_id": "25437535"}, {"ref": "johnnync13/gcn-recsys", "kernel_id": "25709302"}, {"ref": "johnnync13/factorization", "kernel_id": "25257388"}, {"ref": "simstar12/tabtranformer", "kernel_id": "25126917"}, {"ref": "ikerhonorato/h-m-collaborative-np", "kernel_id": "25121379"}, {"ref": "abhishekraikaushik/fork-of-h-m-submission", "kernel_id": "25658375"}, {"ref": "abhishekraikaushik/h-and-m", "kernel_id": "25186487"}, {"ref": "varshapalatse/h-m-eda-getting-started", "kernel_id": "25039225"}, {"ref": "sgrimmr/dropping-idea-80-data-and-50-columns-drop", "kernel_id": "25245277"}, {"ref": "vladislavnikolov/item-based-recommender", "kernel_id": "25023255"}, {"ref": "sawsanshakir/exploratory-data-analysis-h-m-fashion", "kernel_id": "25289854"}, {"ref": "mohammedobeidat/h-m-collaborative-filtering-als-with-pyspark", "kernel_id": "25673970"}, {"ref": "mohammedobeidat/h-m-predicting-next-item-with-decision-tree", "kernel_id": "25336721"}, {"ref": "mohammedobeidat/content-based-filtering-with-pca", "kernel_id": "25085072"}, {"ref": "tisonludovic/notebook69507d681f", "kernel_id": "25119464"}, {"ref": "gbalachandhiran/eda-classes-of-rich", "kernel_id": "25074588"}, {"ref": "gbalachandhiran/customer-article-and-transaction-level-eda", "kernel_id": "25340162"}, {"ref": "gbalachandhiran/singular-value-decomposition-for-recommendation", "kernel_id": "25648728"}, {"ref": "arturxarles/task1-enricazuara-arturxarles", "kernel_id": "25123709"}, {"ref": "negoto/h-m-framework-for-partitioned-validation", "kernel_id": "25388816"}, {"ref": "shubhamtiwari11/notebooka527d41b77", "kernel_id": "25675379"}, {"ref": "ransakaravihara/rfm-features-and-simple-eda-on-transactions", "kernel_id": "25504907"}, {"ref": "khushbuagrawal/h-m-data-analysis", "kernel_id": "25040973"}, {"ref": "jessezhouu/h-m-predictions", "kernel_id": "25075804"}, {"ref": "arseniykolmagorov/factorization-machine-v0-2", "kernel_id": "25499473"}, {"ref": "markuslill/h-m-data-preparation", "kernel_id": "25345330"}, {"ref": "arunkumar1809/hm-recommender", "kernel_id": "25171835"}, {"ref": "hirotakanogami/h-m-eda-customer-clustering-by-kmeans", "kernel_id": "25988176"}, {"ref": "yujihirano/h-and-m-kaggle-article-seasonality", "kernel_id": "25124774"}, {"ref": "nmayank10/h-m-personalized-fashion-recommendations", "kernel_id": "25687025"}, {"ref": "hechtjp/h-m-new-features-for-customers", "kernel_id": "25639326"}, {"ref": "hechtjp/h-m-eda-rule-base-by-customer-age", "kernel_id": "25577550"}, {"ref": "kahtan/comp-h-m", "kernel_id": "25302120"}, {"ref": "yahelnachum/h-m-eda-mine-in-depth", "kernel_id": "25742185"}, {"ref": "feezakhankhanzada/exploratory-data-analysis-ft-season-and-age-group", "kernel_id": "25380037"}, {"ref": "yshiml/h-m-eda-for-beginners", "kernel_id": "25785724"}, {"ref": "ebn7amdi/trending", "kernel_id": "25155467"}, {"ref": "eduardocatarino/customer-eda-age-distributions-vs-other-variable", "kernel_id": "25331386"}, {"ref": "eduardocatarino/articles-eda-providing-several-insights", "kernel_id": "25320323"}, {"ref": "karollaszewski/h-m-eda", "kernel_id": "25599269"}, {"ref": "nuriacami/hym-recommenders-notebook", "kernel_id": "25124508"}, {"ref": "nadianizam/h-m-fashion-eda", "kernel_id": "25041773"}, {"ref": "nadianizam/h-m-fashion-recommendation-with-pyspark", "kernel_id": "25367067"}, {"ref": "krituthaisang/krit-and-oranich", "kernel_id": "25837401"}, {"ref": "supphasetengphaiboon/bst-recommendation", "kernel_id": "25785640"}, {"ref": "amanabdullayev/warning-sales-spike-at-end-of-september", "kernel_id": "25126990"}, {"ref": "amanabdullayev/hot-products-of-interested-and-prior-week", "kernel_id": "25141511"}, {"ref": "dariussingh/h-m-recommendation-system-v1", "kernel_id": "25272396"}, {"ref": "ihedot/eda-of-h-m-items-customers-transaction-data", "kernel_id": "25797645"}, {"ref": "razvangeorgecostea/h-m-models", "kernel_id": "25754155"}, {"ref": "razvangeorgecostea/h-m-eda", "kernel_id": "25554872"}, {"ref": "sargisiskandaryan/h-m-spark", "kernel_id": "25677297"}, {"ref": "vpayen16/k2dsp-h-m", "kernel_id": "25179159"}, {"ref": "junjitakeshima/h-m-postal-code-grouping-en-jp", "kernel_id": "25626992"}, {"ref": "hongeunlee/h-m-fashion-eda", "kernel_id": "25107154"}, {"ref": "yunlinlew/h-m-online-store-sales-customer-analysis", "kernel_id": "25060263"}, {"ref": "kentawatanabetotosya/h-m-eda", "kernel_id": "25114277"}, {"ref": "infinator/h-m-fashion-visualization-with-plotly", "kernel_id": "25142177"}, {"ref": "maniklakherwal/let-s-do-some-eda", "kernel_id": "25246277"}, {"ref": "andreisaceleanu/eda-h-m", "kernel_id": "25430291"}, {"ref": "andreisaceleanu/pca-similarity-with-negative-sampling", "kernel_id": "25493891"}, {"ref": "bhavyavij/101903532-dslabeval", "kernel_id": "25403457"}, {"ref": "matveyspiridonov/h-m-little-eda", "kernel_id": "25791599"}, {"ref": "sxsicha/data-sci-mo", "kernel_id": "25824040"}, {"ref": "harshitvish/ds-eval1", "kernel_id": "25351466"}, {"ref": "cyrillblache/h-m-create-candidate-articles", "kernel_id": "25238399"}, {"ref": "mdbodrulalam/h-m-ensembling-with-lstm", "kernel_id": "25737017"}, {"ref": "yashjaint/101903309-h-mpersonalizedfashionrecommendation", "kernel_id": "25382581"}, {"ref": "labbaawwabi/h-m-project-by-awwabi", "kernel_id": "25216039"}, {"ref": "lunapandachan/h-m-byfone-s-speed-up", "kernel_id": "25159249"}, {"ref": "pixyz0130/h-m-make-submission", "kernel_id": "25346374"}, {"ref": "pixyz0130/h-m-items-of-other-customers-buy", "kernel_id": "25230694"}, {"ref": "uchiiyusaku/als-h-m", "kernel_id": "25995773"}, {"ref": "uchiiyusaku/h-m-eda", "kernel_id": "25577459"}, {"ref": "neesha12/h-m-data-exploration-and-prediction", "kernel_id": "25198260"}, {"ref": "yangranran/lb0-0198-h-m-pure-pytorch-baseline-just-add-bn", "kernel_id": "25501871"}, {"ref": "luisrodri97/item-based-collaborative-filtering", "kernel_id": "25120677"}, {"ref": "pausatorra/h-m-np-mf-0-0205", "kernel_id": "25923118"}, {"ref": "hanejiyuto/validate-for-astrung-insight", "kernel_id": "25814454"}, {"ref": "monikachivate/h-m-personalized-fashion-recommendations", "kernel_id": "25143274"}, {"ref": "pinpinutt/h-m-randomforest-model", "kernel_id": "25765693"}, {"ref": "jashanjotsinghbindra/h-m-101903159-datascienceass2", "kernel_id": "25369098"}, {"ref": "pjain2001/notebook3cdf7b5331", "kernel_id": "25399683"}, {"ref": "sirintrak/data-sci", "kernel_id": "25789950"}, {"ref": "dnyaneshwalwadkar/pyspark-eda-for-h-m-recommendations-using", "kernel_id": "25707714"}, {"ref": "oranichj/group8-krit-oranich", "kernel_id": "25759860"}, {"ref": "nancysood/h-m-personalized-fashion-recommendations", "kernel_id": "25337580"}, {"ref": "aleksandrmorozov123/h-m-personalized-fashion-recommendations", "kernel_id": "25596761"}, {"ref": "aleksandrmorozov123/r-excercises", "kernel_id": "25469517"}, {"ref": "datota/h-m-personalised-f-customer-color-category-eda", "kernel_id": "25469509"}, {"ref": "muthanaalhadrab/h-m-data", "kernel_id": "25839188"}, {"ref": "quinnwadas/match-em", "kernel_id": "25081956"}, {"ref": "maharanasaroj/h-m-python-simple-eda", "kernel_id": "25469014"}, {"ref": "iulian277/h-m-eda", "kernel_id": "25432150"}, {"ref": "iulian277/h-m-solution", "kernel_id": "25546785"}, {"ref": "eunjeongkoo/eda-h-m-data", "kernel_id": "25173951"}, {"ref": "ynmr0123/eda-correlation-between-num-of-sales-and-price", "kernel_id": "25813077"}, {"ref": "mathiscdr/content-based", "kernel_id": "25381461"}, {"ref": "rimmir/model", "kernel_id": "25823833"}, {"ref": "rimmir/eda-analysis", "kernel_id": "25822972"}, {"ref": "rimmir/notebookf9c08b11f7", "kernel_id": "25776750"}, {"ref": "andreiflorea04/h-m-eda", "kernel_id": "25806752"}, {"ref": "bamvrd/h-m-datasci", "kernel_id": "25850575"}, {"ref": "titericz/embeddings-cluster", "kernel_id": "26005561"}, {"ref": "titericz/article-id-pairs-in-3s-using-cudf", "kernel_id": "26103806"}, {"ref": "titericz/profiling-pandas-and-cudf", "kernel_id": "26976020"}, {"ref": "joelqv/cudf-vs-pandas-article-id-pairs", "kernel_id": "26184810"}, {"ref": "heyprafulla/h-m-eda-notebook", "kernel_id": "26281408"}, {"ref": "aerdem4/h-m-rapids-article2vec", "kernel_id": "26381612"}, {"ref": "hervind/h-m-how-to-evaluate-candidate", "kernel_id": "26321820"}, {"ref": "johnakwei/h-m-previous-purchases-most-popular", "kernel_id": "26129055"}, {"ref": "blankaf/h-m-fashion-ensemble-v3-best", "kernel_id": "26894227"}, {"ref": "sussudharsan/prediction-using-history-of-purchase", "kernel_id": "26052598"}, {"ref": "sussudharsan/turicreate-recommender-script", "kernel_id": "26451302"}, {"ref": "narendra/hm-train-candidate-ranking-v2", "kernel_id": "26889954"}, {"ref": "narendra/transaction-eda", "kernel_id": "26347737"}, {"ref": "narendra/transformer-for-recsys-training", "kernel_id": "26407600"}, {"ref": "narendra/item-recommendation-by-association", "kernel_id": "26377875"}, {"ref": "srinivassateesh/recommend-customer-s-most-expensive-lb-0072", "kernel_id": "26398059"}, {"ref": "suneeth84/h-m-analytics-rfm-item-based-recommendation", "kernel_id": "26742964"}, {"ref": "suneeth84/h-m-analytics-rfm-item-based-recommendation-v2", "kernel_id": "26747561"}, {"ref": "igjit1/simple-baseline-with-local-validation-in-r", "kernel_id": "26126132"}, {"ref": "igjit1/recommend-items-purchased-together-in-r", "kernel_id": "26631169"}, {"ref": "igjit1/lb-0-0235-h-m-rule-base-solution-in-r", "kernel_id": "26989012"}, {"ref": "shigengtian/memory-trick-dataset", "kernel_id": "26190997"}, {"ref": "tarique7/lb-0-0240-h-m-ensemble-magic-multi-blend", "kernel_id": "26667232"}, {"ref": "jacob34/clear-n-simple-final-shared-notebook", "kernel_id": "26944862"}, {"ref": "shionhonda/h-m-optimal-period-for-counting-popularity", "kernel_id": "26193405"}, {"ref": "shionhonda/h-m-create-parquet-dataset", "kernel_id": "26463339"}, {"ref": "shionhonda/h-m-create-pickled-dataset", "kernel_id": "26462940"}, {"ref": "shionhonda/h-m-create-downsampled-dataset", "kernel_id": "26346730"}, {"ref": "chenyubang/hm-recommend-items-always-purchased-after", "kernel_id": "26282443"}, {"ref": "akshatpathak/h-m-recommendation", "kernel_id": "26122066"}, {"ref": "lorenzopagliaro01/h-m-simple-age-based-recommendation-pyspark", "kernel_id": "26468581"}, {"ref": "chaudhariharsh/lb-0-0238-h-m-ensembling-how-to-get-bronze", "kernel_id": "26558811"}, {"ref": "marcogorelli/radek-s-lgbmranker-starter-pack", "kernel_id": "26310890"}, {"ref": "marcogorelli/radek-s-lgbmranker-starter-pack-warmup", "kernel_id": "26307445"}, {"ref": "viji1609/h-m-basic-retrieval-model-tf-recommender", "kernel_id": "26696559"}, {"ref": "beezus666/k-means-for-customers", "kernel_id": "26433931"}, {"ref": "beezus666/k-means-and-feature-importance-for-articles", "kernel_id": "26111905"}, {"ref": "medrau/h-m-bar-chart-racing", "kernel_id": "26327207"}, {"ref": "derposoft/0242-ensemble-model", "kernel_id": "26648330"}, {"ref": "derposoft/hm-data-recbole-generator", "kernel_id": "26490709"}, {"ref": "derposoft/hm-lgbm-model-with-phrase-embeddings", "kernel_id": "26516604"}, {"ref": "derposoft/hm-recbole-model", "kernel_id": "26250637"}, {"ref": "peterpetrov826/fork-of-using-recbole", "kernel_id": "26471464"}, {"ref": "aruaru0/h-m-framework-with-item2vec", "kernel_id": "26504447"}, {"ref": "aruaru0/h-and-m-ensamble-only-dadfc6", "kernel_id": "26897982"}, {"ref": "tomaszporzycki/h-m-recommendation-with-seasonality", "kernel_id": "26819850"}, {"ref": "harsh2040/optimizing-the-memory-usage", "kernel_id": "26198325"}, {"ref": "haozhang607/h-m-personalized-fashion-recommendations", "kernel_id": "26801384"}, {"ref": "ktakita/h-m-ensembling-weightoptimization", "kernel_id": "26881876"}, {"ref": "marineej/notebook8b1cffbe67", "kernel_id": "26232831"}, {"ref": "adldotori/all-in-one-sample-dataset", "kernel_id": "26049818"}, {"ref": "weipengzhang/h-m-silver-medal-solution-45-3006", "kernel_id": "26927814"}, {"ref": "sachinkumar413/starter-v1-0", "kernel_id": "26491677"}, {"ref": "danielarmel/notebookfirstrl", "kernel_id": "26202856"}, {"ref": "djimou/h-m-personalized-fashion-analysis", "kernel_id": "26076931"}, {"ref": "jaloeffe92/lb-0-0236-ensemble-gives-you-bronze-medal", "kernel_id": "26149275"}, {"ref": "iwatatakuya/22nd-place-lgbm-model-single-infer", "kernel_id": "26935613"}, {"ref": "iwatatakuya/22nd-place-lgbm-model-single-train", "kernel_id": "26807363"}, {"ref": "kccortez17/h-m-0-data-prep", "kernel_id": "26396678"}, {"ref": "willing2211/h-and-m-swint-image-embedding", "kernel_id": "26642278"}, {"ref": "whutglaucous/funksvd-solution", "kernel_id": "26186497"}, {"ref": "mohammedobeidat/product-similarity-with-text-embeddings", "kernel_id": "26058755"}, {"ref": "mohammedobeidat/content-based-filtering-with-pyspark", "kernel_id": "26526328"}, {"ref": "gbalachandhiran/h-m-eda-rule-base-by-customer-age-noice-free", "kernel_id": "26396654"}, {"ref": "kimurayut/eda-h-m-fashion-recommendations", "kernel_id": "26286398"}, {"ref": "kimurayut/lgbmranker-starter-pack", "kernel_id": "26415859"}, {"ref": "kimurayut/gbm-ranking", "kernel_id": "26374046"}, {"ref": "ajaypalsinghlo/h-m-recommendtions", "kernel_id": "26501682"}, {"ref": "japneetsingh5/lstm-sequential-model-updated", "kernel_id": "26252239"}, {"ref": "japneetsingh5/h-m-trending-products-weekly-updated", "kernel_id": "26267923"}, {"ref": "ericajingwei/h-m-eda", "kernel_id": "26798402"}, {"ref": "ashwinm500/hm-final", "kernel_id": "26947472"}, {"ref": "devanshchowdhury/hm-eda-2", "kernel_id": "26028206"}, {"ref": "hirotakanogami/h-m-cv-tutorial-jp-en", "kernel_id": "26077432"}, {"ref": "hechtjp/h-m-recommendation-majority-voting-ensemble", "kernel_id": "26323707"}, {"ref": "mirenaborisova/h-m-by-customers-age-lb-0-0227", "kernel_id": "26060867"}, {"ref": "saadelkouari/h-m-recommendation-system-code", "kernel_id": "26276683"}, {"ref": "baekseungyun/evaluate-how-well-you-generate-the-candidate", "kernel_id": "26413420"}, {"ref": "baekseungyun/lb-0-0235-ensemble-gives-you-bronze-medal", "kernel_id": "26000599"}, {"ref": "qianyetang/h-m-ensembling-with-lstm-be7226", "kernel_id": "26175097"}, {"ref": "hjimbean/annotation-public-notebooks-for-the-beginner", "kernel_id": "26123838"}, {"ref": "anejmila/h-m-eda-focusing-on-time-series-analysis", "kernel_id": "26721492"}, {"ref": "hemanthkasinadh/190031616-fashion-recommender-system-using-r", "kernel_id": "26714031"}, {"ref": "priyashaw15/h-m-cleaning-data", "kernel_id": "26086466"}, {"ref": "sargisiskandaryan/image-embeddings-with-pytorch", "kernel_id": "26186183"}, {"ref": "ambatibhargav/customers-who-bought-this-frequently-buy-this", "kernel_id": "26301545"}, {"ref": "ambatibhargav/h-m-personalized-fashion-recommendations", "kernel_id": "26299021"}, {"ref": "yutaimsk/understanding-the-evaluation-metric", "kernel_id": "26194729"}, {"ref": "windownapat/hm-eda", "kernel_id": "26549112"}, {"ref": "zinmurata/h-m-011-v4svd", "kernel_id": "26790029"}, {"ref": "nealhams/lb-0-0238-h-m-ensembling-how-to-get-bronze", "kernel_id": "26630003"}, {"ref": "namanoberoi/grouping-users-and-items-basic-approach", "kernel_id": "26217552"}, {"ref": "kirby12138/customers-who-bought-this-frequently-buy-this", "kernel_id": "26061608"}, {"ref": "splav12341/lgbmranker", "kernel_id": "26383140"}, {"ref": "sanvidpunde/h-m-prediction-using-decision-tree", "kernel_id": "26808433"}, {"ref": "yuyanglim/lstm-with-pyspark", "kernel_id": "26293315"}, {"ref": "mayuribhoyar/h-m-recommendation-mayuri-bhoyar", "kernel_id": "26701567"}, {"ref": "daisukenagao/0-0226-h-m-eda-customer-clustering-by-kmeans", "kernel_id": "26905713"}, {"ref": "mayankk9/gnnv2", "kernel_id": "26321928"}, {"ref": "yaozh66/pca-dimense-reduction-on-h-m", "kernel_id": "26144084"}, {"ref": "bearcater/h-m-personalized-fashion-recommendations", "kernel_id": "26882309"}, {"ref": "ahmednegm22/h-m-eda-rapids-and-market-basket-analysis", "kernel_id": "26001722"}, {"ref": "akashbiswas92/tensorflow-recommenders", "kernel_id": "26331023"}, {"ref": "keyanding2/my-work", "kernel_id": "26806895"}, {"ref": "lee1ie/data-process-for-h-m", "kernel_id": "26045773"}, {"ref": "chaigle/h-m-competition-eda", "kernel_id": "26306902"}, {"ref": "vincentbrunner/h-m-image-embeddings", "kernel_id": "26686327"}, {"ref": "matt1018/h-m-trending-products-weekly-updated", "kernel_id": "26268946"}, {"ref": "honglyu/bert4recf-onehot-encoding-bert-embedding", "kernel_id": "26036495"}, {"ref": "honglyu/bert4rec-deep-baseline", "kernel_id": "26622957"}, {"ref": "honglyu/bert4rec-bert-embedding-as-item-embedding", "kernel_id": "26623239"}, {"ref": "prashants2403/radek-s-lgbmranker-starter-pack", "kernel_id": "26723549"}, {"ref": "akshitkeoliya/lb-0-0236-ensemble-gives-you-bronze-medal", "kernel_id": "26512555"}, {"ref": "yololee/lb-0-0238-h-m-ensembling-how-to-get-bro-043bc8", "kernel_id": "26649431"}, {"ref": "algerwang/lb-0-0240-h-m-ensemble-magic-multi-blend", "kernel_id": "26831277"}, {"ref": "piotrgrys/proj-system-w-rozmyto-neuronowych", "kernel_id": "27331441"}, {"ref": "mrugankakarte/h-m-personalization-using-gnn", "kernel_id": "27342860"}, {"ref": "craving1030/r-version-22nd-place-lgbm-model-single-train", "kernel_id": "27450708"}, {"ref": "asr9609/ric-h-m", "kernel_id": "27763976"}, {"ref": "tbierhance/testing-batch-sizes", "kernel_id": "27429333"}, {"ref": "gazu468/classification-with-pytorch", "kernel_id": "27738837"}, {"ref": "putdejudomthai/h-m-analytics", "kernel_id": "27381321"}, {"ref": "putdejudomthai/h-m-exploration-data-and-annotate-chart", "kernel_id": "27396318"}, {"ref": "putdejudomthai/h-m-explore-data-and-predict-recommendation", "kernel_id": "27361483"}, {"ref": "putdejudomthai/h-m-recommend-items-bought-together-past", "kernel_id": "27356384"}, {"ref": "putdejudomthai/h-m-recommend-items-previously-purchased", "kernel_id": "27355317"}, {"ref": "mohammedobeidat/h-m-tensorflow-recommender", "kernel_id": "27156707"}, {"ref": "mohammedobeidat/h-m-product-embeddings-from-images-vgg16", "kernel_id": "27025610"}, {"ref": "mohammedobeidat/h-m-product-similarity-with-image-embeddings-knn", "kernel_id": "27051962"}, {"ref": "mohammedobeidat/h-m-recommender-comparing-4-different-approaches", "kernel_id": "27208865"}, {"ref": "mohammedobeidat/article-embeddings-from-features", "kernel_id": "27180791"}, {"ref": "mohammedobeidat/h-m-item-and-customer-embeddings-from-description", "kernel_id": "27166830"}, {"ref": "mohammedobeidat/customer-embeddings-from-features", "kernel_id": "27161721"}, {"ref": "mohammedobeidat/recommender-system-demo-with-streamlit", "kernel_id": "27566820"}, {"ref": "franklinshih0617/my-h-m-exploratory-data-analysis-and-modelling", "kernel_id": "27201286"}, {"ref": "franklinshih0617/random-forest-implementation", "kernel_id": "27776382"}, {"ref": "growbigger/multi-label-classification", "kernel_id": "27610429"}, {"ref": "leejunseok97/deepfm-ctr-fn", "kernel_id": "27467050"}, {"ref": "jueunjeong/3-4-cnn-lstm", "kernel_id": "27256915"}, {"ref": "mayankk9/transformermod", "kernel_id": "27061539"}, {"ref": "calsonnetshikulwe/last-presentation-1", "kernel_id": "27658032"}, {"ref": "calsonnetshikulwe/fork-of-final-1", "kernel_id": "27408271"}, {"ref": "abdullachowdry/recommend-smart", "kernel_id": "27466565"}, {"ref": "tao58lee/h-m-repurchase-and-popular", "kernel_id": "27412576"}, {"ref": "tao58lee/h-m-user-user-collaborative-filtering", "kernel_id": "27825646"}, {"ref": "tao58lee/matrix-factorization", "kernel_id": "27882047"}, {"ref": "tao58lee/h-m-item-item", "kernel_id": "27911418"}, {"ref": "xuzicang/customers-who-bought-this-frequently-buy-th-2fa14e", "kernel_id": "27664114"}, {"ref": "chiahsin3/notebook600c2a2faf", "kernel_id": "27280367"}, {"ref": "cyh2017/h-m-data-mining", "kernel_id": "27992979"}, {"ref": "vikrampriyaniimpact/profiling", "kernel_id": "27473257"}, {"ref": "emphymachine/eda-practice-01-h-m-trending-analysis", "kernel_id": "28766150"}, {"ref": "emphymachine/h-m-customer-segmentation-using-clustering", "kernel_id": "28766593"}, {"ref": "mohammedobeidat/h-m-predict-product-features-from-images-with-ann", "kernel_id": "28993313"}, {"ref": "mohammedobeidat/h-m-predict-product-features-from-images", "kernel_id": "28902540"}, {"ref": "mohammedobeidat/h-m-product-image-captioning", "kernel_id": "28698850"}, {"ref": "mohammedobeidat/h-m-testing-product-captioning", "kernel_id": "28747452"}, {"ref": "franklinshih0617/h-m-pure-pytorch-baseline-with-price", "kernel_id": "28786209"}, {"ref": "hongeunlee/h-m-online-shopping-eda", "kernel_id": "28467520"}, {"ref": "tao58lee/h-m-retrieval-ranking", "kernel_id": "28397093"}, {"ref": "jaycoach/h-m-pure-pytorch-baseline", "kernel_id": "28602452"}, {"ref": "tinazhao/h-m-pure-pytorch-baseline-feature-tuning", "kernel_id": "29404013"}, {"ref": "tinazhao/h-m-pure-pytorch-baseline-hierarchical-softmax", "kernel_id": "29566390"}, {"ref": "zethione/h-m-rapids-article2vec", "kernel_id": "29988179"}, {"ref": "zethione/notebookf300057dd9", "kernel_id": "29949780"}, {"ref": "zethione/22nd-place-lgbm-model-single-infer", "kernel_id": "29890002"}, {"ref": "zethione/detailed-data-exploration-dissertation-h-m", "kernel_id": "29221189"}, {"ref": "allanyiinai/h-m-recommandation-modeling", "kernel_id": "29976247"}, {"ref": "allanyiinai/h-m-recommandation", "kernel_id": "29966527"}, {"ref": "allanyiinai/h-m-articles-autoencoder", "kernel_id": "29943159"}, {"ref": "hongeunlee/h-m-customer-clv", "kernel_id": "29363876"}, {"ref": "bhatnagardaksh/data-augmentation-tracking-decaying-lr", "kernel_id": "29431006"}, {"ref": "yuujin/h-m-colorclassification-efficientnet", "kernel_id": "29538030"}, {"ref": "yuujin/h-m-44-10-vision-tranformer", "kernel_id": "29704350"}, {"ref": "tao58lee/h-m-pure-pytorch-baseline-sampled-softmax", "kernel_id": "29431796"}, {"ref": "tao58lee/h-m-pytorch-baseline-incorp-item-features", "kernel_id": "29316413"}, {"ref": "tao58lee/h-m-pytorch-baseline-hier-softmax", "kernel_id": "29562955"}, {"ref": "tao58lee/h-m-pytorch-baseline-retrieval-ranking", "kernel_id": "29823450"}, {"ref": "tao58lee/h-m-pure-pytorch-baseline-2-layer-tdm", "kernel_id": "29631794"}, {"ref": "poojapekam/nlp-h-m-recommondatio", "kernel_id": "29757866"}, {"ref": "sagargadeg/recommendation-system", "kernel_id": "29035354"}, {"ref": "mulahli/h-m-pure-pytorch-baseline-67b32a", "kernel_id": "29524118"}, {"ref": "mulahli/h-m-pure-pytorch-baseline-modified", "kernel_id": "29498298"}, {"ref": "mulahli/h-m-pure-pytorch-baseline-sampled-softmax-803a85", "kernel_id": "29462342"}, {"ref": "mulahli/fork-of-h-m-pytorch-baseline-retrieval-ranking", "kernel_id": "29884041"}, {"ref": "mulahli/h-m-pytorch-baseline-retrieval-ranking", "kernel_id": "29853901"}, {"ref": "hazemahmedmurshedi/predict-h-m-customer-s-purchases-by-age", "kernel_id": "29426798"}, {"ref": "zethione/h-m-ensembling-how-to", "kernel_id": "30010797"}, {"ref": "zethione/customers-who-bought-this-frequently-buy-this", "kernel_id": "30236807"}, {"ref": "zethione/recommend-items-purchased-together-0-021", "kernel_id": "30236812"}, {"ref": "zethione/h-m-implicit-als-model-0-014", "kernel_id": "30236818"}, {"ref": "zethione/eda-sales-trend-gender-ipynb", "kernel_id": "30248107"}, {"ref": "inapark/230822", "kernel_id": "30520821"}, {"ref": "saharbenmabrouk/h-m-articles-data-analysis-using-pandas", "kernel_id": "30742112"}, {"ref": "michaelfromoldwick/hello-world-customer-segmentation-example", "kernel_id": "30347383"}, {"ref": "jiaruizhangjerry/implicit-als-model", "kernel_id": "30735195"}, {"ref": "tao58lee/h-m-pytorch-baseline-full-and-sampled-softmax", "kernel_id": "30189752"}, {"ref": "tao58lee/efficiency-of-softmax-sampled-softmax", "kernel_id": "30162358"}, {"ref": "tao58lee/h-m-pytorch-baseline", "kernel_id": "30163841"}, {"ref": "tao58lee/h-m-pure-pytorch-baseline-mod-sampled-softmax", "kernel_id": "30126130"}, {"ref": "matteofasuloo/user-item-alternating-least-squares", "kernel_id": "30750205"}, {"ref": "mulahli/h-m-pure-pytorch-baseline-mod-full-softmax", "kernel_id": "30127435"}, {"ref": "mulahli/efficiency-of-softmax-full-softmax", "kernel_id": "30162648"}, {"ref": "rahulappana/h-m-recommendation", "kernel_id": "31506531"}, {"ref": "qcqced/h-m-train-fdsa-train-pipeline", "kernel_id": "31997008"}, {"ref": "masakiotsuki/h-m-predicting-product-group-name-vit", "kernel_id": "31760793"}, {"ref": "datamaniactr/h-m-recommendation-classification-tr", "kernel_id": "31942365"}, {"ref": "emphymachine/24-image", "kernel_id": "32280323"}, {"ref": "emphymachine/42-43-cudf", "kernel_id": "32455198"}, {"ref": "emphymachine/25-26-opencv", "kernel_id": "32449970"}, {"ref": "prithviraj7387/eda-transcation-data", "kernel_id": "32044103"}, {"ref": "prithviraj7387/h-m-recommendations", "kernel_id": "32893819"}, {"ref": "prithviraj7387/h-m-clustering", "kernel_id": "32724768"}, {"ref": "niramay/h-m-recommendations", "kernel_id": "32454138"}, {"ref": "andrejzuba/h-m-recommender-quick-and-easy-model-build", "kernel_id": "32046102"}, {"ref": "jerrywang96/aml-h-m-project", "kernel_id": "32771595"}, {"ref": "satyaprakashshukl/image-recommendation-system", "kernel_id": "32052361"}, {"ref": "jinsuc28/clear-n-simple-final-shared-notebook", "kernel_id": "32579267"}, {"ref": "haiyanan/h-m-prediction-using-decision-tree", "kernel_id": "32864955"}, {"ref": "datamaniactr/h-m-recommendation-classification-eng", "kernel_id": "32214012"}, {"ref": "mahluo/2023-kaggle-h-m-eda-first-look", "kernel_id": "33892984"}, {"ref": "jayantmathur/h-m-personalized-fashion-recommendations", "kernel_id": "33752139"}, {"ref": "qcqced/naver-webtoon-personalized-webtoon-recsys", "kernel_id": "33136184"}, {"ref": "heemalichaudhari/fashion-recommendations", "kernel_id": "33630957"}, {"ref": "ityt26/h-m-fashion", "kernel_id": "33031294"}, {"ref": "cuongnguyen227/res-01", "kernel_id": "33164489"}, {"ref": "hateflow/train-naver-webtoon-personalized-recsys", "kernel_id": "33218866"}, {"ref": "senkin13/hm-create-dataset-samples", "kernel_id": "34741607"}, {"ref": "marcogorelli/recommend-items-purchased-together-with-polars", "kernel_id": "34971519"}, {"ref": "kulasinski/notebook4098ac73b5", "kernel_id": "34798385"}, {"ref": "pranithchowdary/customer-embeddings-from-features", "kernel_id": "34748198"}, {"ref": "pranithchowdary/article-embedding-from-features", "kernel_id": "34748020"}, {"ref": "pranithchowdary/product-embeddings-from-image", "kernel_id": "34745367"}, {"ref": "pranithchowdary/product-similarity-with-text-embeddings", "kernel_id": "34584073"}, {"ref": "mohammedobeidat/us-stocks-prediction-with-technical-indicators", "kernel_id": "34118935"}, {"ref": "cbkk64/res-01", "kernel_id": "34802922"}, {"ref": "pranithchowdary/content-based-filtering-with-pca", "kernel_id": "35959859"}, {"ref": "pranithchowdary/retrieval-model-tf-recommender", "kernel_id": "35960011"}, {"ref": "ericcherny/h-m-similarity-generation", "kernel_id": "35717815"}, {"ref": "ramyanandini/notebook-5-all-combined", "kernel_id": "35652060"}, {"ref": "ityt26/building-a-recommendation-system-using-cnn-v2", "kernel_id": "35355320"}, {"ref": "cuongnguyen227/res-method-2", "kernel_id": "35280069"}, {"ref": "svetlozarkondakov/notebook-h-and-m-personal-recommendations", "kernel_id": "35781877"}, {"ref": "must4f4/hnm-notebook", "kernel_id": "36883430"}, {"ref": "xgarve/popularity-based-recommender-using-polars", "kernel_id": "36900791"}, {"ref": "jijivishaphuoc/bigdatabigboy", "kernel_id": "36051378"}, {"ref": "adityadavv/mrp28-03", "kernel_id": "36518271"}, {"ref": "fanot89/hm-cringe", "kernel_id": "37986481"}, {"ref": "fanot89/notebook1425ae519c", "kernel_id": "37969500"}, {"ref": "krishaadesai/h-m-predictions", "kernel_id": "37364501"}, {"ref": "krishaadesai/market-basket-analysis", "kernel_id": "37274498"}, {"ref": "tomliao66/h-m-recommendations-by-age", "kernel_id": "37948906"}, {"ref": "tao58lee/decentralized-mf", "kernel_id": "37624014"}, {"ref": "thomasulseth/exploring-h-m-fashion-comp-part-2", "kernel_id": "37417512"}, {"ref": "thomasulseth/exploring-h-m-fashion-comp-part-1", "kernel_id": "37322081"}, {"ref": "aloksinh/nlp-7", "kernel_id": "37762973"}, {"ref": "yanastamenova/h-m-eda-and-prediction", "kernel_id": "38637135"}, {"ref": "auhide/bert-nearest-neighbors-product-recommendation", "kernel_id": "38908155"}, {"ref": "claudiodanielpc/proyecto-modelos", "kernel_id": "38049076"}, {"ref": "karina7/proyecto-de-ciencia-de-datos", "kernel_id": "38670126"}, {"ref": "cintiamercado/proyecto-de-ciencia-de-datos", "kernel_id": "38757947"}, {"ref": "ramyanandini/article-and-customer-embeddings-from-text", "kernel_id": "38187143"}, {"ref": "ramyanandini/article-embedding-from-features", "kernel_id": "38187719"}, {"ref": "ramyanandini/content-based-filtering-with-pca", "kernel_id": "38187757"}, {"ref": "ramyanandini/retrieval-model-tf-recommender", "kernel_id": "38187958"}, {"ref": "ramyanandini/customer-embeddings-from-features", "kernel_id": "38232584"}, {"ref": "ramyanandini/product-similarity-with-text-embeddings", "kernel_id": "38160103"}, {"ref": "multimodel1/article-embeddings-from-features", "kernel_id": "38165688"}, {"ref": "multimodel1/customer-embeddings-from-features", "kernel_id": "38165741"}, {"ref": "multimodel1/all-4-different-approaches", "kernel_id": "38165775"}, {"ref": "multimodel1/article-and-customer-embeddings-from-text", "kernel_id": "38165530"}, {"ref": "multimodel1/finding-similar-items-with-text-embeddings", "kernel_id": "38165571"}, {"ref": "multimodel1/product-similarity-with-text-embeddings", "kernel_id": "38165257"}, {"ref": "multimodel1/content-based-filtering-with-pca", "kernel_id": "38165881"}, {"ref": "multimodel1/retrieval-model-tf-recommender", "kernel_id": "38165936"}, {"ref": "multimodel1/product-embeddings-from-images", "kernel_id": "38165811"}, {"ref": "multimodel1/h-m-product-captioning", "kernel_id": "38165856"}, {"ref": "vincentmaladiere/h-m-recsys-feature-engineering-with-skrub-polars", "kernel_id": "39960966"}, {"ref": "alexandrparkhomenko/profiling-pandas-and-cudf", "kernel_id": "39538435"}, {"ref": "yaoyoson/crm-analysis-dashboard", "kernel_id": "39590295"}, {"ref": "khyj00/gnns-similarity-recommendation-based-on-node2vec", "kernel_id": "40591924"}, {"ref": "ramvaibhav11/hackathon-genai-model", "kernel_id": "40642030"}, {"ref": "shotanakanokaggle/h-m-deepwalk-test", "kernel_id": "40860900"}, {"ref": "shotanakanokaggle/h-m-nakano-recommend-model3", "kernel_id": "40749914"}, {"ref": "tatsuyaoabe/base-model", "kernel_id": "40563322"}, {"ref": "tatsuyaoabe/make-model-time", "kernel_id": "40931359"}, {"ref": "yoonexplorer/h-m-eda", "kernel_id": "40716133"}, {"ref": "leakotlyar/h-m-personalized-fashion-recommendations", "kernel_id": "40856162"}, {"ref": "rummanahmad05/h-m-recommendation-system", "kernel_id": "41864470"}, {"ref": "tao58lee/ncf-decentralized", "kernel_id": "41251027"}, {"ref": "tatsuyaoabe/make-articles-feature", "kernel_id": "41024524"}, {"ref": "hoaiphanxuan/recommend-clothes", "kernel_id": "41819521"}, {"ref": "samictg/h-m-dataset-eda-practice", "kernel_id": "41574222"}, {"ref": "saatmax/flipcart-grid", "kernel_id": "41930472"}, {"ref": "handeatasagun/frs-content-based-filtering", "kernel_id": "42271373"}, {"ref": "handeatasagun/frs-basket-analysis", "kernel_id": "42311217"}, {"ref": "handeatasagun/frs-sales-customer-analysis", "kernel_id": "42183526"}, {"ref": "ingalevarad/notebook003771e098", "kernel_id": "42955588"}, {"ref": "swathiha/all-4-different-approaches-78ce70", "kernel_id": "42133913"}, {"ref": "swathiha/personalized-fashion-recommendation", "kernel_id": "42135490"}, {"ref": "iib2020030/svd-reranking-implicit-to-explicit-feedback", "kernel_id": "42128622"}, {"ref": "rojdatay/hm-rfm-cltv", "kernel_id": "42498162"}, {"ref": "rojdatay/fashion-recomender-system", "kernel_id": "42616274"}, {"ref": "alenuska199/content-based-recommendation-system", "kernel_id": "44970423"}, {"ref": "amangiri/data-snapshot", "kernel_id": "44864818"}, {"ref": "amangiri/h-m-dataset-eda", "kernel_id": "44176486"}, {"ref": "soumya343/lanhchain-pinecone-embeddings-for-semantic-search", "kernel_id": "44923754"}, {"ref": "kewttun/notebookc364f0ec91", "kernel_id": "44639735"}, {"ref": "dungtan/h-and-m-notebook", "kernel_id": "44260981"}, {"ref": "sayalisali/h-m-prediction", "kernel_id": "44372851"}, {"ref": "kewttun/notebook07791fd7d3", "kernel_id": "45807870"}, {"ref": "jaisubasrikarthik/content-based-image-filtering", "kernel_id": "45537984"}, {"ref": "pairavithanancheyan/fork-of-notebookafde04d9a9", "kernel_id": "45130410"}, {"ref": "uom23mlmsc229407x/dm-project-collaborative-filtering-229407x", "kernel_id": "45666289"}, {"ref": "rbhardw/eda-for-recomm", "kernel_id": "46686971"}, {"ref": "yongdata/h-m-lightgbm-train-and-feature-importance", "kernel_id": "46960976"}, {"ref": "guidosalimbeni/understanding-the-metrics", "kernel_id": "46301678"}, {"ref": "guidosalimbeni/rec-sys-apriori", "kernel_id": "46310331"}, {"ref": "leyancheng/cs5344-project-recall-cf", "kernel_id": "46414905"}, {"ref": "shadowcattin/example-using", "kernel_id": "46121285"}, {"ref": "rajatchelani/ist652-final-project-code", "kernel_id": "47898478"}, {"ref": "natsukihashimoto/h-m-association-analysis", "kernel_id": "47722617"}, {"ref": "stpeteishii/anime-rating-prediction-w-lgbmranker", "kernel_id": "48071067"}, {"ref": "tropicaldog/clear-n-simple-final-shared-notebook", "kernel_id": "48380659"}, {"ref": "edwardbk/clear-n-simple-final-shared-notebook", "kernel_id": "48378767"}, {"ref": "thiagopda/datasets-pre-processing", "kernel_id": "50784631"}, {"ref": "seonghwachoi/h-m-recommendation-als", "kernel_id": "52870867"}, {"ref": "lklinkedlist/h-m-eda-and-pricing-analysis", "kernel_id": "52604690"}, {"ref": "sahilhujare/recommender", "kernel_id": "52511591"}, {"ref": "sarthakvyavahare1212/recommder", "kernel_id": "52088385"}, {"ref": "eslamomarxeno/vgg-19-model", "kernel_id": "53586594"}, {"ref": "sirinbsa/eda-guideline", "kernel_id": "54736104"}, {"ref": "prithvirajshevade/h-m-prediction", "kernel_id": "55323416"}, {"ref": "shantanubhatia2233/h-m-pytorch-approach", "kernel_id": "57166020"}, {"ref": "santhoshhreddy/h-m-pure-pytorch-baseline", "kernel_id": "58842027"}, {"ref": "jane0917/mca-image-project", "kernel_id": "59279133"}, {"ref": "bagier/h-m-eda-first-look", "kernel_id": "60609050"}, {"ref": "daniyaakhmedova/implicit-h-m-framework-eda", "kernel_id": "61219668"}, {"ref": "daniyaakhmedova/surprise-framework-eda", "kernel_id": "61240458"}, {"ref": "daniyaakhmedova/lightfm-framework-eda", "kernel_id": "61240154"}, {"ref": "aaryanawadh/recommend-items-purchased-together-0-021", "kernel_id": "61759368"}, {"ref": "shwetatoshniwal/recommend-items-purchased-together-0-021", "kernel_id": "61886694"}, {"ref": "manaschuri/h-m-customer-segmentation-using-clustering", "kernel_id": "62442170"}, {"ref": "manaschuri/recommend-items-purchased-together-0-021", "kernel_id": "62463452"}, {"ref": "sarkasticbaba/dmbi-project", "kernel_id": "62396071"}, {"ref": "ratanaksenasam/h-m-fashion-sales-forecasting", "kernel_id": "63539747"}, {"ref": "nghiaquang/notebooke622d35af9", "kernel_id": "64758528"}, {"ref": "beatsonflow/dataset-schema-and-uploading-things-to-tibd", "kernel_id": "64251790"}, {"ref": "dngtrnc/h-m-eda", "kernel_id": "64371091"}, {"ref": "ratanaksenasam/notebooke4dab39847", "kernel_id": "64255550"}, {"ref": "dulkimhak/notebooke4dab39847", "kernel_id": "64361887"}, {"ref": "nghiaquang/h-m-rec", "kernel_id": "65508381"}, {"ref": "dngtrnc/test-ranking-model", "kernel_id": "65470193"}, {"ref": "ratanaksenasam/notebookaaf78a977e", "kernel_id": "65132311"}, {"ref": "twndus/h-m-judy-s-heuristic-baseline-trials", "kernel_id": "65917786"}, {"ref": "puspendrakumar77/h-m-personalized-fashion-recommendations", "kernel_id": "65095426"}, {"ref": "tobiasleekth/lora-clip-1-10", "kernel_id": "66786782"}, {"ref": "onjackay/notebook20e2c6b3cc", "kernel_id": "66791398"}, {"ref": "hautrinhvan/h-m-test", "kernel_id": "67791892"}, {"ref": "ntd237/h-g-i-h-m-personalized-fashion-recommendations", "kernel_id": "67799412"}, {"ref": "duypham395/h-m-prj-recsys", "kernel_id": "67434956"}, {"ref": "yetiezz/h-m-collaborative-filtering-user-user-0-019", "kernel_id": "67034143"}, {"ref": "aditiagrawal11/h-m-competition-2022", "kernel_id": "68497155"}, {"ref": "annmariacgeorge/co-prediction", "kernel_id": "69451137"}, {"ref": "lixysc/homework4-pyspark-preprocessing", "kernel_id": "69518546"}, {"ref": "lixysc/homework4-pyspark-preprocessing-answer", "kernel_id": "69466509"}, {"ref": "yetiezz/dataprocess", "kernel_id": "69121981"}, {"ref": "xiaotongxing/homework4-pyspark-preprocessing", "kernel_id": "69969705"}, {"ref": "haliagan/homework4-pyspark-preprocessing", "kernel_id": "69969588"}, {"ref": "lixysc/homework5-recommendation-system-with-pyspark", "kernel_id": "70336479"}, {"ref": "lixysc/lab8-recommendation-with-pyspark", "kernel_id": "70061185"}, {"ref": "haliagan/homework5-recommendation-system-with-pyspark", "kernel_id": "70637060"}, {"ref": "annettelianchiu/similarity-recommendation-based-on-node2vec", "kernel_id": "72415151"}, {"ref": "sontrancao/als-rec-hust", "kernel_id": "72036344"}, {"ref": "iamrudo1999/notebook4cc12df3e5", "kernel_id": "72261373"}, {"ref": "vishalbakshi/cloth-recommender", "kernel_id": "73871693"}, {"ref": "nguyengiabao32/clear-n-simple-final-shared-notebook", "kernel_id": "73727727"}, {"ref": "gunjayasshrestha/user-user-cf", "kernel_id": "73454100"}, {"ref": "gunjayasshrestha/cloth-recommender", "kernel_id": "73418011"}, {"ref": "haifarezgui/notebook47430be947", "kernel_id": "73331001"}, {"ref": "cyrinecherif/hm-pi-cy", "kernel_id": "73695893"}, {"ref": "amirsdiri/notebook27506d4c50", "kernel_id": "74897756"}, {"ref": "gunjayasshrestha/embedding-based", "kernel_id": "74346974"}, {"ref": "arijbouriel/notebook17d258f278", "kernel_id": "74775596"}, {"ref": "kebudata/52nd-baseline", "kernel_id": "75447938"}, {"ref": "zrelliamin/notebookc3c44f2b1e", "kernel_id": "75219544"}, {"ref": "gunjayasshrestha/lstm-recommendation", "kernel_id": "75242429"}, {"ref": "gunjayasshrestha/cluster-recs", "kernel_id": "76638718"}, {"ref": "plengpimchanok/h-m-analysis-pleng", "kernel_id": "77882241"}, {"ref": "trngtxun/h-m-dataset", "kernel_id": "77167082"}, {"ref": "vikaasguptaa/vikas-gupta", "kernel_id": "77735002"}, {"ref": "growbigger/recommender-system", "kernel_id": "78096422"}, {"ref": "canfaneat/hm-try-4", "kernel_id": "79293896"}, {"ref": "phngtrnhng/fri-28-03-h-m", "kernel_id": "79414623"}, {"ref": "vasiliispe/h-m-recsys-challenge", "kernel_id": "80285280"}, {"ref": "vyacheslavoschepkov/1-lightfm", "kernel_id": "80088721"}, {"ref": "vyacheslavoschepkov/2-implicit-als", "kernel_id": "80091618"}, {"ref": "vyacheslavoschepkov/3-catboost", "kernel_id": "80092554"}, {"ref": "carlosmatherson/h-m-fashion-recommendations-with-product2vec", "kernel_id": "81253220"}, {"ref": "tramlevobao/data-rec-sys", "kernel_id": "82597964"}, {"ref": "klau85/2-stage-recommender-for-h-m", "kernel_id": "83712047"}, {"ref": "phamtruong/h-m-recsys", "kernel_id": "83838120"}, {"ref": "kohaku555/notebookaa4f35c77e", "kernel_id": "83245205"}, {"ref": "omercinoglu/h-m-recommend", "kernel_id": "83681059"}, {"ref": "tungchipham/h-m-eda-visualization", "kernel_id": "83804671"}, {"ref": "yunbeomlee/h-m-personalized-fashion-recommendations", "kernel_id": "83515419"}, {"ref": "qzhtann666/notebookaa4f35c77e", "kernel_id": "83301835"}, {"ref": "leonchani/01-only-eda-h-m-recommendation", "kernel_id": "84893085"}, {"ref": "myhrann/h-m-recommend-eda-jap", "kernel_id": "84119863"}, {"ref": "karndeepsingh/detailed-eda-understanding-h-m-data", "kernel_id": "85113608"}, {"ref": "tramlevobao/notebook3eb0e2a936", "kernel_id": "85493487"}, {"ref": "triangleduy/finalba-team-1-eda-h-m-draft", "kernel_id": "85176029"}, {"ref": "farahnas/h-mpersonalized-fashion-recommendations", "kernel_id": "85507304"}, {"ref": "bytesp/notebookb5322d315a", "kernel_id": "85739319"}, {"ref": "bytesp/notebooke36e43d1c9", "kernel_id": "85759660"}, {"ref": "bytesp/notebooka86cf8b74b", "kernel_id": "85651787"}, {"ref": "thoahthanh/sebl-data", "kernel_id": "86319109"}, {"ref": "bgourav/eda-h-m-customer-behaviour-and-buying-patterns", "kernel_id": "88507897"}, {"ref": "venkateshkulkarni11/eda-customer-behaviour-and-buying-patterns", "kernel_id": "88004873"}, {"ref": "mdjasimuddindipu/h-m-recomendation-system-with-lightgbm", "kernel_id": "89985340"}, {"ref": "vanshiksingh/basicmvpgraphrecs", "kernel_id": "91197822"}, {"ref": "esmaascioglu/business-understanding-eda", "kernel_id": "92610478"}, {"ref": "tanishkumargautam/meesho2", "kernel_id": "93840517"}, {"ref": "thangndk67/hm-contest", "kernel_id": "96260669"}, {"ref": "zhaoxinpeng/h-m-recomendation-system-with-lightgbm", "kernel_id": "96465975"}, {"ref": "vedantmadane/h-m-x-turing-2nd-november-2025", "kernel_id": "97355044"}, {"ref": "pragrr/basicmvpgraphrecs", "kernel_id": "97424764"}, {"ref": "akaiinu/draft1", "kernel_id": "97398323"}, {"ref": "vedantmadane/h-m-v2-8-gpu", "kernel_id": "98428817"}, {"ref": "akaiinu/model-version-1", "kernel_id": "98129504"}, {"ref": "akaiinu/item-to-item", "kernel_id": "98432514"}, {"ref": "aayushmancodez/paml-project", "kernel_id": "99234025"}, {"ref": "quocthai1/exp120", "kernel_id": "100879257"}, {"ref": "linguynduy/basicmvpgraphrecs", "kernel_id": "101871256"}, {"ref": "akaiinu/fork-of-notebooke04d75b368", "kernel_id": "102662335"}, {"ref": "luongkhang04/h-m-1st-place-solution-recommendation-system", "kernel_id": "102425763"}, {"ref": "phongpham1511/exp120-f2b993-919022", "kernel_id": "103391473"}, {"ref": "khnhtrnan/h-m-fashion-recommender", "kernel_id": "103240400"}, {"ref": "thaisvsthinhs/exp120-f2b993", "kernel_id": "103283793"}, {"ref": "akaiinu/feature-engineering", "kernel_id": "103261843"}, {"ref": "slinhlng/resystem", "kernel_id": "103278064"}, {"ref": "nguyenlez/xuly-data-duan", "kernel_id": "103547297"}, {"ref": "lixysc/pyspark-review-for-final-exam", "kernel_id": "104928154"}, {"ref": "thangndk67/h-m-gen-submission", "kernel_id": "104751437"}, {"ref": "stephenhoanganh/irandsemanticsearch-ipynb", "kernel_id": "104931982"}, {"ref": "akaiinu/fork-of-notebook37d7f4faf0", "kernel_id": "104592293"}, {"ref": "xuanbinhnguyen/notebook-add-popular-items", "kernel_id": "104842999"}, {"ref": "rikkitikki8/hm-recomendation-m", "kernel_id": "105390743"}, {"ref": "zekamrozek/hm-recomendation", "kernel_id": "105200452"}, {"ref": "annazubareva/h-m-recommender-using-lstm", "kernel_id": "105203510"}, {"ref": "nhkien/fork-of-notebook37d7f4faf0", "kernel_id": "105104551"}, {"ref": "nhkien/recall-eval", "kernel_id": "105740136"}, {"ref": "nhkien/feature-engineering-1", "kernel_id": "105863640"}, {"ref": "linguynduy/embedding", "kernel_id": "105506974"}, {"ref": "akaiinu/feature-engineering-1", "kernel_id": "105284456"}, {"ref": "slinhlng/h-mtest", "kernel_id": "105535545"}, {"ref": "kirinabcd/pyspark-review-for-final-exam", "kernel_id": "105065055"}, {"ref": "sathyasubrahmanyavs/projected-two-tower-hm", "kernel_id": "106189738"}, {"ref": "nhkien/fork-of-recall-eval", "kernel_id": "106303072"}, {"ref": "nhkien/week0-item2vec", "kernel_id": "106563217"}, {"ref": "nhkien/item2vec", "kernel_id": "106480377"}, {"ref": "nhkien/eda-model", "kernel_id": "106576209"}, {"ref": "herdemzen/clv-prediction-for-h-m-using-bg-nbd-gamma-gamma", "kernel_id": "106654904"}, {"ref": "khnhtrnan/h-m-fashion-recommender-01", "kernel_id": "106473301"}, {"ref": "linguynduy/feature-engineering-1", "kernel_id": "106096173"}, {"ref": "logannguyen124/recsys-project-runnable-v6", "kernel_id": "106100511"}, {"ref": "ibtissamjabir/hm-cleaned-interactions", "kernel_id": "107285158"}, {"ref": "mikeesan/h-m-graph-analytics", "kernel_id": "108328335"}, {"ref": "mikeesan/h-m-big-data-project-recommendation-attempt-2", "kernel_id": "108278905"}, {"ref": "mikeesan/h-m-recommendation-big-data-analytics", "kernel_id": "108299568"}, {"ref": "hachemwork/h-m-fashion-recommender", "kernel_id": "108703644"}, {"ref": "hajarsl/h-m-fashion-recommender", "kernel_id": "108712996"}, {"ref": "hajarsl/final-project", "kernel_id": "108703370"}, {"ref": "hajarsl/projet-rcm-hm", "kernel_id": "108689408"}, {"ref": "hajarsl/notebook-that-works", "kernel_id": "108639005"}, {"ref": "imixaimi/notebook88fce548fa", "kernel_id": "108165342"}, {"ref": "benmalak654/projet-clustering", "kernel_id": "108149610"}, {"ref": "pragrr/notebookb703c78c7e", "kernel_id": "109384323"}, {"ref": "tarpashn/main-hybrid-recsys-model", "kernel_id": "110433866"}, {"ref": "huyenpham22/h-m-eda", "kernel_id": "111635909"}, {"ref": "dannywannafly/h-m-nb", "kernel_id": "111834439"}, {"ref": "phngphngtrn/h-m-data", "kernel_id": "111727910"}, {"ref": "hoangvusnape/split-10k", "kernel_id": "112330077"}, {"ref": "shantanusmankar/bdm-notebook", "kernel_id": "112074277"}, {"ref": "dataonzip/h-m-analysis", "kernel_id": "112650826"}, {"ref": "albertocaretto/h-m-caretto-alberto", "kernel_id": "112931565"}, {"ref": "huyenpham22/h-m-feature-embed-cluster", "kernel_id": "113656270"}, {"ref": "phngphngtrn/feature-engineering", "kernel_id": "113053891"}, {"ref": "tunaokun/implicit", "kernel_id": "114895540"}, {"ref": "huyenpham22/h-m-pipeline-fe", "kernel_id": "114694830"}, {"ref": "lineizumi/hehe-h-m", "kernel_id": "114694135"}, {"ref": "dzj1223/notebookd5b406b19c", "kernel_id": "114852268"}, {"ref": "dzj1223/notebook2c4a093480", "kernel_id": "114850662"}, {"ref": "pacharacharuworn/bigdata-ihere-final", "kernel_id": "115609449"}, {"ref": "pacharacharuworn/project-bigdata", "kernel_id": "115749027"}, {"ref": "pichapornruamk/bigdata-ihere-final", "kernel_id": "115358584"}, {"ref": "kugakugar/bigdata", "kernel_id": "115824468"}, {"ref": "phnganhhh/h-m-fashion-ver3", "kernel_id": "115948304"}, {"ref": "jitimontemeeyasilp/bigdata-ihere-final", "kernel_id": "115719342"}, {"ref": "phmthcvitanh/rerank", "kernel_id": "115695803"}, {"ref": "zynptkn06/h-m-personalized-fashion-recommendations", "kernel_id": "116241861"}, {"ref": "rahmatnugrohosaputra/metopenaih-m", "kernel_id": "116965839"}, {"ref": "pacharacharuworn/project-bigdata-final", "kernel_id": "117253754"}, {"ref": "pacharacharuworn/project-bigdata-final-d329df", "kernel_id": "117575603"}, {"ref": "kugakugar/project-bigdata-final", "kernel_id": "117334559"}, {"ref": "kugakugar/project-bigdata-c979c0", "kernel_id": "117136157"}, {"ref": "kugakugar/project-bigdata-final-d329df", "kernel_id": "117578822"}, {"ref": "onodera/samp-hm-1st-stage-demo-with-polars-gpu", "kernel_id": "119243992"}, {"ref": "huytq1028/freedom", "kernel_id": "119785117"}, {"ref": "walaasoudy/end-to-end-big-data-fashion-analytics-platform", "kernel_id": "120403742"}, {"ref": "aarushii26/notebook7e9030ac57", "kernel_id": "121120594"}, {"ref": "smoke78/perseptron-v2-01-tabular-full", "kernel_id": "121136474"}, {"ref": "smoke78/perseptron-v2-00-folds-full", "kernel_id": "121136143"}, {"ref": "smoke78/perseptron-v2-04-cnn-full", "kernel_id": "121212755"}, {"ref": "smoke78/perseptron-v2-03-late-fusion-full", "kernel_id": "121183080"}, {"ref": "smoke78/perseptron-v2-02-image-history-full", "kernel_id": "121179910"}, {"ref": "smoke78/perseptron-v2-06-explainability-full", "kernel_id": "121274583"}, {"ref": "smoke78/perseptron-v2-05-ranking-full", "kernel_id": "121223694"}, {"ref": "smoke78/perseptron-v2-07-submission-generation", "kernel_id": "121576069"}, {"ref": "tommychen2005/notebook37fe8c04a3", "kernel_id": "121483843"}, {"ref": "pypiahmad/h-and-m-personalized-fashion-recommendations-e2e", "kernel_id": "122730433"}, {"ref": "pypiahmad/h-m-personalized-fashion-recommendations-e2e", "kernel_id": "122729922"}, {"ref": "pypiahmad/h-and-m-fashion-reco-tutorial-learning", "kernel_id": "122735889"}, {"ref": "pypiahmad/h-and-m-fashion-reco-kaggle-submission", "kernel_id": "122735914"}, {"ref": "yeahyiiiiii/ccglm4", "kernel_id": "122055966"}, {"ref": "dngnguynquang/dss-eda", "kernel_id": "123134024"}, {"ref": "onodera/samp-hm-2nd-stage-demo-with-polars-gpu", "kernel_id": "125179103"}, {"ref": "debodipchowdhury/h-m-fashion-recommendation-system-ipynb", "kernel_id": "125805439"}, {"ref": "husnainakhtar15/bda-project-h-m", "kernel_id": "126457371"}, {"ref": "liangxupsu/prepare-hm-ladieswear-image-sample", "kernel_id": "130394531"}, {"ref": "sauravsingh184/h-m-retail-eda-risk-portfolio-analysis-duckdb", "kernel_id": "130061070"}, {"ref": "ryancaldwell/development-data-sampling", "kernel_id": "131514814"}, {"ref": "sophiagracez/notebook23d9144d99", "kernel_id": "132577700"}, {"ref": "quanvn/mhc-h-m-baseline", "kernel_id": "133963573"}, {"ref": "lyffff0128/clear-n-simple-final-shared-notebook9-11", "kernel_id": "133777561"}, {"ref": "haodou092/h-m-multi-recall-to-generative-semantic-signals", "kernel_id": "134574717"}, {"ref": "rahulvansh66/h-m-retail-eda-risk-portfolio-analysis-duckdb", "kernel_id": "135963672"}]}
{"competition_id": "31256", "kernels": []}
{"competition_id": "31260", "kernels": []}
{"competition_id": "31262", "kernels": [{"ref": "sleavor/mlds-spring-2022-competition", "kernel_id": "24815699"}]}
{"competition_id": "31263", "kernels": []}
{"competition_id": "31271", "kernels": []}
{"competition_id": "31274", "kernels": [{"ref": "stanleyyoga/praktikum-1-13518122-13518138", "kernel_id": "20826350"}, {"ref": "qurrataayuni/praktikummll-13518004-13518049", "kernel_id": "20826400"}, {"ref": "rakhafadhilah1243/praktikummll-13518097-13518145", "kernel_id": "20827880"}, {"ref": "rafiadyatma47/praktikummll-13518038-13518121", "kernel_id": "20827836"}, {"ref": "putrakusaeri/if4074-praktikum1-13515036-13518009-0529fc", "kernel_id": "20841486"}]}
{"competition_id": "31275", "kernels": []}
{"competition_id": "31277", "kernels": []}
{"competition_id": "31281", "kernels": []}
{"competition_id": "31301", "kernels": []}
{"competition_id": "31305", "kernels": []}
{"competition_id": "31306", "kernels": [{"ref": "luffyluffyluffy/gpac-test", "kernel_id": "20892781"}, {"ref": "luffyluffyluffy/tpot-basics", "kernel_id": "21228175"}, {"ref": "princepd/mtp-pravartya", "kernel_id": "22131931"}, {"ref": "luffyluffyluffy/no-share-akash-verma-getting-epi", "kernel_id": "26645759"}, {"ref": "luffyluffyluffy/akash-verma-training-model", "kernel_id": "26645783"}, {"ref": "luffyluffyluffy/rl-tutorial", "kernel_id": "26232700"}, {"ref": "luffyluffyluffy/web-handler", "kernel_id": "26097755"}, {"ref": "luffyluffyluffy/rough-akash-verma-mtp", "kernel_id": "26499466"}]}
{"competition_id": "31316", "kernels": []}
{"competition_id": "31320", "kernels": []}
{"competition_id": "31334", "kernels": []}
{"competition_id": "31343", "kernels": []}
{"competition_id": "31344", "kernels": []}
{"competition_id": "31346", "kernels": []}
{"competition_id": "31359", "kernels": []}
{"competition_id": "31362", "kernels": [{"ref": "shron79/notebookf191128b4b", "kernel_id": "26283443"}, {"ref": "mamaevpavel/misis-car-classification", "kernel_id": "26794582"}, {"ref": "alekseinedolivko/mds-misis-dl-car-classification", "kernel_id": "26561231"}]}
{"competition_id": "31363", "kernels": []}
{"competition_id": "31379", "kernels": []}
{"competition_id": "31382", "kernels": []}
{"competition_id": "31404", "kernels": []}
{"competition_id": "31405", "kernels": []}
{"competition_id": "31406", "kernels": []}
{"competition_id": "31414", "kernels": []}
{"competition_id": "31418", "kernels": []}
{"competition_id": "31421", "kernels": []}
{"competition_id": "31433", "kernels": []}
{"competition_id": "31434", "kernels": []}
{"competition_id": "31440", "kernels": []}
{"competition_id": "31443", "kernels": [{"ref": "timofeev25/baseline", "kernel_id": "21326194"}]}
{"competition_id": "31451", "kernels": [{"ref": "suriya0503/notebook-suriyavelu", "kernel_id": "21092884"}]}
{"competition_id": "31457", "kernels": []}
{"competition_id": "31458", "kernels": []}
{"competition_id": "31465", "kernels": [{"ref": "poojarana26/pooja-20992", "kernel_id": "21076588"}]}
{"competition_id": "31475", "kernels": []}
{"competition_id": "31478", "kernels": [{"ref": "thanatoz/indore-relation-extraction-challenge-notebook", "kernel_id": "22585666"}, {"ref": "ritwikmishraiiitd/indore-ritwik", "kernel_id": "22013411"}]}
{"competition_id": "31479", "kernels": []}
{"competition_id": "31480", "kernels": [{"ref": "drcapa/kaggle-ml-ds-survey-2017-2020-eda", "kernel_id": "13289181"}, {"ref": "andradaolteanu/how-are-the-ladies-and-the-gents-doing", "kernel_id": "19216993"}, {"ref": "saurabhbagchi/kaggle-survey-2021-india", "kernel_id": "21269808"}, {"ref": "laxmsun/trends-across-time-students-vs-professionals", "kernel_id": "21259433"}, {"ref": "steubk/kaggle-survey-2021-historical-snapshot", "kernel_id": "21250978"}, {"ref": "kesamet/2018-21-kaggle-ml-ds-survey", "kernel_id": "21360147"}, {"ref": "subinek/kaggle-vs-indians", "kernel_id": "21620520"}, {"ref": "subinek/the-story-of-alex-and-iara", "kernel_id": "21761860"}, {"ref": "rhysie/big-macs-rock-stars-what-seperates-top-earners", "kernel_id": "21801566"}, {"ref": "shreshtha/ml-survey-analysis-eda", "kernel_id": "21481574"}, {"ref": "katokev/2021-kaggle-machine-learning-data-science-survey", "kernel_id": "21342451"}, {"ref": "ssk619/kaggle-survey-2021-continental-comparision", "kernel_id": "21606774"}, {"ref": "yaojenkuo/analyzing-kaggle-survey-in-a-more-structured-way", "kernel_id": "21772261"}, {"ref": "farazrahman/ml-in-production-through-the-lens-of-survey-data", "kernel_id": "21950189"}, {"ref": "monogenea/kaggle-survey-2021-a-different-perspective", "kernel_id": "21279443"}, {"ref": "gvyshnya/kaggle-2021-ml-and-ds-survey-comprehensive-eda", "kernel_id": "21282531"}, {"ref": "heena34/all-plots-at-once-using-plotly", "kernel_id": "21606566"}, {"ref": "jyoti05iitd/profile-of-respondents-from-usa-and-india", "kernel_id": "21620631"}, {"ref": "sreeedevi/world-of-data-scientists", "kernel_id": "21521129"}, {"ref": "clarice/is-egypt-the-emerging-techhub-in-africa", "kernel_id": "21381505"}, {"ref": "santij95/contrasts-in-the-americas-ds-ecosystem", "kernel_id": "21440129"}, {"ref": "emphymachine/let-s-practice-eda-with-kaggle-survey-2021", "kernel_id": "21303718"}, {"ref": "janani90/kaggle-2021-survey-analysis", "kernel_id": "21701107"}, {"ref": "janani90/kaggle-survey-analysis-using-pandas", "kernel_id": "21551759"}, {"ref": "gsdeepakkumar/whats-next-an-analysis-from-kaggle-survey-2021", "kernel_id": "21270187"}, {"ref": "niyamatalmass/faq-about-data-scientists", "kernel_id": "21989907"}, {"ref": "sagarnildass/kaggle-survey-eda-without-a-single-line-of-code", "kernel_id": "21262740"}, {"ref": "mabs003/predicting-salary-of-data-scientists", "kernel_id": "21455536"}, {"ref": "j2hoon85/for-newbie-let-s-do-data-transformation", "kernel_id": "21868947"}, {"ref": "j2hoon85/plotly-tutorial-for-kaggle-survey-competitions", "kernel_id": "21873134"}, {"ref": "ashkash/simple-across-the-board-perspective-of-kaggle-net", "kernel_id": "21714889"}, {"ref": "kritidoneria/2021-kaggle-ml-ds-survey-india-automl-eda", "kernel_id": "21253858"}, {"ref": "katiej277/the-worsening-gender-pay-gap-in-data-science", "kernel_id": "21321781"}, {"ref": "paultimothymooney/2021-survey-data-scientists-in-india", "kernel_id": "21234031"}, {"ref": "paultimothymooney/2021-survey-data-scientists-in-the-usa", "kernel_id": "21234033"}, {"ref": "paultimothymooney/2021-survey-job-title-data-scientist", "kernel_id": "21234034"}, {"ref": "paultimothymooney/2021-kaggle-data-science-machine-learning-survey", "kernel_id": "21234035"}, {"ref": "ashishtop/story-time", "kernel_id": "21395598"}, {"ref": "docxian/2021-kaggle-survey-r-you-ready", "kernel_id": "21258457"}, {"ref": "spitfire2nd/data-scientists-analysts-what-s-the-difference", "kernel_id": "21773838"}, {"ref": "tommy1028/is-gender-bias-real-kaggle-gender-wage-gap-index", "kernel_id": "21441389"}, {"ref": "thevatsalsaglani/everything-popular", "kernel_id": "21430616"}, {"ref": "karthikbhandary2/state-of-india-and-japan", "kernel_id": "21269876"}, {"ref": "fqiang/survey-rmarkdown2021", "kernel_id": "21590589"}, {"ref": "vijayendrad/kaggle-survey-2021-eda", "kernel_id": "21752834"}, {"ref": "maapallo/finding-a-needle", "kernel_id": "21535629"}, {"ref": "shivamb/data-science-in-2021-adaptation-or-adoption", "kernel_id": "21253434"}, {"ref": "revathiprakash/kaggle-ml-and-ds-survey-global-stats-plotly", "kernel_id": "21436604"}, {"ref": "rehanguha/ks21-detailed-analysis-univariate-bivariate", "kernel_id": "21701721"}, {"ref": "naina04/2021-kaggle-ds-and-ml-survey", "kernel_id": "21798678"}, {"ref": "rloredo/gender-equality-exploration", "kernel_id": "21297302"}, {"ref": "delafields/let-s-make-some-money-survey-2021", "kernel_id": "21722545"}, {"ref": "tienshulee/kaggle-survey-2021", "kernel_id": "21868602"}, {"ref": "samir95/the-state-of-data-science-in-egypt", "kernel_id": "21729140"}, {"ref": "arieljumba/exploring-data-analytics-in-africa", "kernel_id": "21850596"}, {"ref": "michau96/kaggle-s-popularity-in-your-country", "kernel_id": "21669704"}, {"ref": "michau96/profiles-for-respondents-from-each-country", "kernel_id": "21597413"}, {"ref": "vishnu0399/2021-kaggle-survey-dashboard", "kernel_id": "21273364"}, {"ref": "venky73/usa-vs-india-working-professionals", "kernel_id": "21349427"}, {"ref": "ayuraj/kaggle-survey-2021-w-b-vs-all", "kernel_id": "21260799"}, {"ref": "tianmin/top-20-earners-in-the-data-science-industry", "kernel_id": "21273339"}, {"ref": "sanjeevsahu/state-of-ds-2021-basic-eda", "kernel_id": "21378741"}, {"ref": "ak1982/kaggle-survey-analysis-2021", "kernel_id": "21499379"}, {"ref": "siddhantsadangi/kaggle-2021-any-country-vs-the-world", "kernel_id": "21237768"}, {"ref": "tomy4reel/kaggle-birthday", "kernel_id": "21960027"}, {"ref": "yenbaeny/startups-or-big-companies", "kernel_id": "21483274"}, {"ref": "stpeteishii/kaggle-survey-2021-basic-data-eda", "kernel_id": "21581833"}, {"ref": "anastasiiaselezen/explore-ml-ds-survey-2021-ukraine", "kernel_id": "21528614"}, {"ref": "mojopriest/learning-about-machine-learning-kaggle-survey-21", "kernel_id": "21680529"}, {"ref": "chandanarprasad/indians-on-kaggle-survey", "kernel_id": "21885814"}, {"ref": "animadurkar/a-guide-for-creating-your-data-science-brand", "kernel_id": "21258294"}, {"ref": "ycca1018/kaggle-survey-question-list-q1-q42-japanese-ver", "kernel_id": "21579314"}, {"ref": "mpwolke/kaggle-survey-2021-brazil", "kernel_id": "21241208"}, {"ref": "vivek468/what-s-up-kaggle-kaggle-survey-2021", "kernel_id": "21280164"}, {"ref": "xper100/what-makes-the-difference-da-ds-de", "kernel_id": "21957436"}, {"ref": "harshjhunjhunwala/comparative-dive-into-kaggle-users-india-vs-us", "kernel_id": "21478878"}, {"ref": "harshjhunjhunwala/guide-to-data-visualisation-seaborn-and-plotly", "kernel_id": "21798389"}, {"ref": "harshjhunjhunwala/starter-guide-to-trees-boosting-and-bagging", "kernel_id": "21577800"}, {"ref": "drcapa/kaggle-ds-survey-2017-2021-eda", "kernel_id": "21273523"}, {"ref": "muazmaz/pakistan-s-rising-data-science-2021", "kernel_id": "21546625"}, {"ref": "ranjan6459/kaggle-survey-2021-ml-data-science-in-india", "kernel_id": "21277088"}, {"ref": "hyunkic/2021-kaggle-data-science-machine-learning-survey", "kernel_id": "21877310"}, {"ref": "hyunkic/industry-analysis", "kernel_id": "21846433"}, {"ref": "ruchi798/kaggle-ml-ds-survey-analysis", "kernel_id": "21235194"}, {"ref": "kush1729/machine-learning-and-data-science-in-india", "kernel_id": "21277893"}, {"ref": "bhujithmadav/kaggle-survey-exploratory-analysis-using-plotly", "kernel_id": "21980557"}, {"ref": "kayvanshah/refreshed-insights-into-kaggle-survey-2021", "kernel_id": "21278418"}, {"ref": "edwars/salary-data-analysis-ml-survey-2021", "kernel_id": "21646694"}, {"ref": "yanastamenova/the-one-kaggle-to-serve-them-all", "kernel_id": "21544246"}, {"ref": "pavan9065/explore-kaggle-ml-ds-2021-survey", "kernel_id": "21341250"}, {"ref": "kailichou/uncover-details-from-5th-annual-kaggle-survey", "kernel_id": "21877322"}, {"ref": "nbroad/who-takes-the-longest-to-complete-the-survey", "kernel_id": "21278557"}, {"ref": "jyotibansal9aug/kaggle-survey-visualisation", "kernel_id": "21554931"}, {"ref": "anu4646/analysis-data-science-survey-insights", "kernel_id": "21327194"}, {"ref": "krishna1997gopal/gender-distribution-in-2021", "kernel_id": "21569721"}, {"ref": "tulasiram574/kaggle-s-annual-machine-learning-and-data-science", "kernel_id": "21430685"}, {"ref": "iamleonie/trying-this-in-japanese-en-sub", "kernel_id": "21274195"}, {"ref": "iamleonie/head-in-the-clouds", "kernel_id": "21263850"}, {"ref": "garyongguanjie/should-i-pursue-higher-education", "kernel_id": "21245801"}, {"ref": "araraltawil/kaggle-survey-2021", "kernel_id": "21264277"}, {"ref": "duyguatasever/kaggle-survey-turkey-vs-world", "kernel_id": "21318091"}, {"ref": "mohammedshammeer/kaggle-professionals", "kernel_id": "21301114"}, {"ref": "karthisena/simple-story-of-kaggle-survey-2021", "kernel_id": "21731899"}, {"ref": "thienanhnguyenbui/kaggle-2021-women-storytelling-no-lines-of-code", "kernel_id": "21336017"}, {"ref": "thienanhnguyenbui/kaggle-2021-women-in-data-science", "kernel_id": "21681154"}, {"ref": "aleksandraklimkovich/kaggle-servey-2021-never-too-late-to-start", "kernel_id": "21385438"}, {"ref": "maksymshkliarevskyi/kaggle-survey-2017-2021-main-insights-r", "kernel_id": "21807847"}, {"ref": "carlmcbrideellis/how-much-do-people-on-kaggle-earn-by-country-2022", "kernel_id": "21417883"}, {"ref": "carlmcbrideellis/encuesta-kaggle-2021-espa-a-es-diferente", "kernel_id": "21370207"}, {"ref": "tusharkoley1/data-science-survey-2021", "kernel_id": "21945130"}, {"ref": "aditidutta/learning-about-my-fellow-kagglers", "kernel_id": "21284147"}, {"ref": "yasserhessein/data-science-survey-eda-with-all-countries", "kernel_id": "21274994"}, {"ref": "kalilurrahman/2021-kaggle-mlds-survey-a-perspective", "kernel_id": "21558160"}, {"ref": "kalilurrahman/store-sales-eda-prediction-with-ts", "kernel_id": "21051812"}, {"ref": "tasmiatahseen/a-simple-look-on-the-survey", "kernel_id": "21814910"}, {"ref": "mkirankumar/2021-kaggle-machine-learning-data-science-survey", "kernel_id": "21581890"}, {"ref": "travistyler/2021-survey-eda", "kernel_id": "21330690"}, {"ref": "hiroshiotagaki/r-and-python", "kernel_id": "21735956"}, {"ref": "parasrana/complete-data-visualization-story", "kernel_id": "21676072"}, {"ref": "lonnieqin/data-analysis-with-machine-learners", "kernel_id": "21288230"}, {"ref": "rahulsingh8510/datasciencekagglesurvey2021", "kernel_id": "21485231"}, {"ref": "datafan07/what-takes-to-be-a-data-scientist-story-of-robert", "kernel_id": "21319296"}, {"ref": "lavusravya/1918122251", "kernel_id": "21398281"}, {"ref": "ajaypalsinghlo/kaggle-survey-2021", "kernel_id": "21337267"}, {"ref": "nilaykushawaha/dsml-survey-india", "kernel_id": "21756106"}, {"ref": "elvis80/kaggle-2021-survey-and-case-for-africa", "kernel_id": "21999916"}, {"ref": "valbauman/so-you-want-to-be-a-data-scientist-huh", "kernel_id": "21505511"}, {"ref": "kashishrastogi/reality-check-for-ds-ml-rs", "kernel_id": "21276122"}, {"ref": "jokersurya123/notebookfb8dab6e2e", "kernel_id": "21470396"}, {"ref": "arunkumar1809/kaggle-survey-for-beginners", "kernel_id": "21486823"}, {"ref": "vijayshankar756/ml-kaggle", "kernel_id": "21343015"}, {"ref": "cecileguillot/kaggle-survey-2021-analysis", "kernel_id": "21502622"}, {"ref": "venumyneni/explore-kaggle-2021", "kernel_id": "21775198"}, {"ref": "soumyabratabairagi/payday-2021", "kernel_id": "21784772"}, {"ref": "gleblevankov/data-science", "kernel_id": "21243109"}, {"ref": "tracyporter/survey-2021-eda", "kernel_id": "21252042"}, {"ref": "mohanraj77/kaggle-survey-max-answered-choice", "kernel_id": "21310789"}, {"ref": "madhuri15/women-in-data-analytics-2021", "kernel_id": "21530088"}, {"ref": "seungbumlim/20-21-ml-ds-survey-pandas-filter-custom-function", "kernel_id": "21939498"}, {"ref": "foolofatook/plumbers-of-data-science", "kernel_id": "21350408"}, {"ref": "chebotinaa/women-in-data-kaggle-ml-ds-survey-2021", "kernel_id": "21490165"}, {"ref": "desalegngeb/back-to-the-future-what-do-kagglers-wish", "kernel_id": "21338710"}, {"ref": "desalegngeb/how-popular-is-kaggle-in-africa", "kernel_id": "21238339"}, {"ref": "comman/2021-kaggle-ml-from-comman", "kernel_id": "21245423"}, {"ref": "hayangkim/age-gender-education-and-experience", "kernel_id": "21262328"}, {"ref": "danielebaldoni/kaggle-survey-italy", "kernel_id": "21237325"}, {"ref": "syedjaferk/2021-kaggle-ml-ds-survey-detailed-analysis", "kernel_id": "21665355"}, {"ref": "mariemashraf/2021kagglesurvey-finished", "kernel_id": "21330067"}, {"ref": "ankitkalauni/kaggle-ml-ds-2021-survey-q-answer-plots", "kernel_id": "21250805"}, {"ref": "ankitkalauni/beginner-understanding-on-dimension-reduction", "kernel_id": "21095658"}, {"ref": "muhammadsabih56/ml-ds-trends-in-any-country-vs-rest-of-the-world", "kernel_id": "21432828"}, {"ref": "enigmak/kaggle-survey-eda-with-plotly", "kernel_id": "21554040"}, {"ref": "bhaveshkumar2806/kaggle-survey-2021-analysis-plotly", "kernel_id": "21524947"}, {"ref": "ast999/spanish-exist-in-kaggle-or-are-we", "kernel_id": "21888185"}, {"ref": "nidhiathawale/top-3-industries", "kernel_id": "21336277"}, {"ref": "yvtsanlevy/kaggle-survey-2021-woman-in-kaggle", "kernel_id": "21468080"}, {"ref": "oceands/plain-visualization-as-baseline", "kernel_id": "21313869"}, {"ref": "oceands/check-your-country-trends-among-kagglers", "kernel_id": "21937285"}, {"ref": "jaipalrao/young-one-s-are-passionate-about-ds-and-ml", "kernel_id": "21902256"}, {"ref": "wildbenji/historic-view-graph-generator-widget-group-options", "kernel_id": "21720533"}, {"ref": "namnguyenxuan511/2021-kaggle-survey", "kernel_id": "21314631"}, {"ref": "jeongbinpark/2021-kaggle-survey-python-vs-r", "kernel_id": "21400117"}, {"ref": "flaviocavalcante/kaggle-ml-ds-survey-2021-eda", "kernel_id": "21279320"}, {"ref": "flaviocavalcante/analysis-of-the-last-3-kaggle-surveys", "kernel_id": "21360518"}, {"ref": "miguelfzzz/the-typical-kaggle-data-scientist-in-2021", "kernel_id": "21548068"}, {"ref": "tomods/kagglesurvey2021", "kernel_id": "21547290"}, {"ref": "tomods/survey2021-if-i-am-a-student-and-job-seeker", "kernel_id": "21817437"}, {"ref": "sakuraandblackcat/r-english-who-use-r", "kernel_id": "21435916"}, {"ref": "sakuraandblackcat/kaggle-survey-2021-english-and", "kernel_id": "21838358"}, {"ref": "aghamaretha/data-professional-in-small-vs-large-companies", "kernel_id": "21651772"}, {"ref": "matejper/east-side-story-eu", "kernel_id": "21255078"}, {"ref": "ramjasmaurya/find-define-india", "kernel_id": "21400875"}, {"ref": "lanukahjo/2021-mlds-survey-eda", "kernel_id": "21253783"}, {"ref": "wabinab/analysis-qna", "kernel_id": "21633416"}, {"ref": "wabinab/kaggle2021-analysis-initial-testing", "kernel_id": "21438618"}, {"ref": "xholisilemantshongo/super-store-eda", "kernel_id": "21489755"}, {"ref": "xholisilemantshongo/economic-structure-survey", "kernel_id": "21341938"}, {"ref": "desikp/ml-ds-survey-india-2k21", "kernel_id": "21335103"}, {"ref": "farhanmalik371/kaggle-2021-ml-survey-attempt", "kernel_id": "21694220"}, {"ref": "xiajuny/get-some-insight-from-2021-s-survey", "kernel_id": "21272330"}, {"ref": "yasinnaal/kaggle-survey-simple-analysis", "kernel_id": "21843213"}, {"ref": "officialsubhash/untold-story-of-kaggle-ml-dl-survey-2021", "kernel_id": "21307007"}, {"ref": "kiranclement/2021-kaggle-machine-learning-data-science-survey", "kernel_id": "21945684"}, {"ref": "amysullivan/kaggle-survey-data-2021", "kernel_id": "21906497"}, {"ref": "kishorekumar08/ml-ds-survey-changing-attribute-names-and-eda", "kernel_id": "21287736"}, {"ref": "mohamedbakrey/using-arabic-by-egypt-arab", "kernel_id": "21325279"}, {"ref": "mohamedbakrey/eda-for-kaggle-ml-ds-survay-2021", "kernel_id": "21250602"}, {"ref": "mohamedbakrey/statistics-of-kaggle-users-in-asia", "kernel_id": "21666220"}, {"ref": "dmitryuarov/data-science-life-2018-2021-eda", "kernel_id": "21343505"}, {"ref": "sobs123/datasciencesurvey-2021", "kernel_id": "21325674"}, {"ref": "kooose/estimate-by-statistical-test-and-machine-learning", "kernel_id": "21334640"}, {"ref": "kooose/eda-about-question", "kernel_id": "21310442"}, {"ref": "kooose/data-science-survey-2021-programming-language-eda", "kernel_id": "21314416"}, {"ref": "kooose/usefulness-of-using-multiple-languages", "kernel_id": "21462585"}, {"ref": "dshassan/eda-for-kaggle-survey-2021-pakistan", "kernel_id": "21262647"}, {"ref": "mrafat/kaggle-survey-between-expectation-and-reality", "kernel_id": "21467884"}, {"ref": "heyrobin/kaggle-survey-2021-analysis", "kernel_id": "21321900"}, {"ref": "nrusimhaviharieyunni/kaggle-survey-2021-exploration-and-analysis", "kernel_id": "21788669"}, {"ref": "adityatiwarikagg007/kaggle-2021-survey-global-insights", "kernel_id": "21377428"}, {"ref": "kishalmandal/kaggle-2021-india-vs-usa-comparative-study", "kernel_id": "21294099"}, {"ref": "maxdiazbattan/kaggle-survey-2021-eda-initial-insights", "kernel_id": "21251818"}, {"ref": "hserdaraltan/let-s-respect-the-veterans", "kernel_id": "21404500"}, {"ref": "jonaspalucibarbosa/2021-survey-currently-not-employed-short-eda", "kernel_id": "21920529"}, {"ref": "feliperoriz/what-is-needed-to-be-hired-as-a-data-scientist", "kernel_id": "21378928"}, {"ref": "shaikamreen02/kaggle-ml-and-ds-survey-2021", "kernel_id": "21738782"}, {"ref": "gaganmaahi224/automation-of-matplotlib-self-written-code", "kernel_id": "21838114"}, {"ref": "gaganmaahi224/story-telling-kaggle-survey-2019-2021", "kernel_id": "21735769"}, {"ref": "gaganmaahi224/kaggle-survey-eda-and-visualization-without-plots", "kernel_id": "21300859"}, {"ref": "gaganmaahi224/changes-again-story-telling-kaggle-survey-2021", "kernel_id": "21344929"}, {"ref": "gunjangrunge/kaggle-survey", "kernel_id": "21261344"}, {"ref": "tosifkhan/kaggle-survey-eda-21oct21", "kernel_id": "21402172"}, {"ref": "sandhyakrishnan02/detailed-eda-kaggle-survey-2021", "kernel_id": "21278968"}, {"ref": "mohamedelsrogy/wonderful-eda-the-first-20qs-egypt", "kernel_id": "21276370"}, {"ref": "shanuchandak/kaggle-survey-analysis-2021", "kernel_id": "21741598"}, {"ref": "najibmozahem/kaggle-survey", "kernel_id": "21959885"}, {"ref": "jillanisofttech/how-popular-is-kaggle-in-south-aisa", "kernel_id": "21542940"}, {"ref": "renokan/kaggle-survey-2021-20-age-before-after-30-year", "kernel_id": "21854371"}, {"ref": "renokan/kaggle-survey-2018-2021-create-one-clean-dataset", "kernel_id": "21949075"}, {"ref": "renokan/kaggle-survey-2021-with-without-outliers", "kernel_id": "21738565"}, {"ref": "renokan/kaggle-survey-2021-20-automatic-load-and-check", "kernel_id": "21791045"}, {"ref": "adeayosotayo/2021-kaggle-survey-a-focus-on-nigerian-kagglers", "kernel_id": "21972515"}, {"ref": "k589k589/salary-comparision-mandarin-english", "kernel_id": "21341718"}, {"ref": "k589k589/kaggle-survey-taiwan", "kernel_id": "21365237"}, {"ref": "lennarthaupts/the-5-types-of-kagglers", "kernel_id": "21292888"}, {"ref": "nicoleny/notebook2d7ae2cf1a", "kernel_id": "21343782"}, {"ref": "aneesasghar/kaggle-survey-eda-based-on-experience", "kernel_id": "21242085"}, {"ref": "hpascua/the-state-of-data-science-in-the-philippines", "kernel_id": "21679164"}, {"ref": "corneliuskristianto/machine-learning-and-data-science-survey-analysis", "kernel_id": "21310117"}, {"ref": "junekitagawa/konnichiwa-from-japan", "kernel_id": "21291160"}, {"ref": "bharatjuyal/exploring-kaggle-survey", "kernel_id": "21320690"}, {"ref": "bharatjuyal/demographics-time-to-complete-survey", "kernel_id": "21588426"}, {"ref": "raselmeya/kaggle-2021-ml-ds-survey-bangladesh", "kernel_id": "21278076"}, {"ref": "shivansh002/are-you-obsessed-with-kaggle", "kernel_id": "21342476"}, {"ref": "maniklakherwal/kaggle-survey-2021-vs-2020", "kernel_id": "21714828"}, {"ref": "mostafaalaa123/finished-quick-analysis-of-each-q", "kernel_id": "21290131"}, {"ref": "mostafaalaa123/student-wonder-survey-answer", "kernel_id": "21361291"}, {"ref": "mostafaalaa123/programming-languages-for-ds-fields", "kernel_id": "21419241"}, {"ref": "mostafaalaa123/how-age-affects-in-data-science", "kernel_id": "21709262"}, {"ref": "ankitmhaske/memoir-of-a-toddler-machine-learning-survey", "kernel_id": "21780305"}, {"ref": "eranuragsingh/kaggle-survey-2021-india", "kernel_id": "21255649"}, {"ref": "eranuragsingh/notebook18969180c8", "kernel_id": "21261766"}, {"ref": "lakshaychoudhary2021/europe-any-different-from-the-world", "kernel_id": "21560077"}, {"ref": "yinauyeung/data-scientist-sexiest-job-of-the-21st-century", "kernel_id": "21397767"}, {"ref": "profahmadhussein2010/notebookccc3a21a8f", "kernel_id": "21284391"}, {"ref": "gouravaathnere/notebook7d9875982e", "kernel_id": "21658029"}, {"ref": "snehsingh001/kaggle-survey-2021-analysis-by-sneh", "kernel_id": "21618186"}, {"ref": "kukieatchuputthapong/analyst-for-junior-datasci", "kernel_id": "21604645"}, {"ref": "tejasgokulbaraskar/kaggle-survey-2021", "kernel_id": "21703152"}, {"ref": "vishalprashar/data-scientist-having-github-using-eda", "kernel_id": "21576121"}, {"ref": "sulagnanandi/students-vs-professionals-kaggle-survey", "kernel_id": "21415975"}, {"ref": "ayushnayak/2021-kaggle-dataset-analysis", "kernel_id": "21282141"}, {"ref": "denisefoster/what-s-in-a-name-2021-kaggle-survey-competition", "kernel_id": "21433774"}, {"ref": "khaledhamdy/kaggle-survey-2021-responses", "kernel_id": "21763126"}, {"ref": "tomasfajna/data-survey-ml-2021", "kernel_id": "21647851"}, {"ref": "ongrioswijaya/kaggle-2021-sea-oc-analysis", "kernel_id": "21268282"}, {"ref": "sonalisheth/india-is-no-1-according-to-kaggle-survey-of-2021", "kernel_id": "21987327"}, {"ref": "lhwvong/kaggle-machine-learning-data-science-survey-eda", "kernel_id": "21403786"}, {"ref": "hanejiyuto/search-kagglers-like-me-english", "kernel_id": "21923996"}, {"ref": "lynnxy/kaggle-survey-participants-profile-and-response", "kernel_id": "21276015"}, {"ref": "lynnxy/a-deep-dive-into-the-kaggle-survey-from-2017-2021", "kernel_id": "21442064"}, {"ref": "janalvin/are-you-happy-correlation-of-happiness-and-salary", "kernel_id": "21683395"}, {"ref": "lewisdubrowski/data-science-and-the-lgbtq-community", "kernel_id": "21829542"}, {"ref": "adwik98/kaggle-survey-eda", "kernel_id": "21281570"}, {"ref": "zacharywolinsky/accounting-finance-industry-eda", "kernel_id": "21479059"}, {"ref": "tengkaiyuscott/2021-survey-analysis", "kernel_id": "21455613"}, {"ref": "sfktrkl/kaggle-survey-2021-turkey", "kernel_id": "21856107"}, {"ref": "joannamoussa/22-of-employees-earn-0-999-yearly", "kernel_id": "21825392"}, {"ref": "saikamsivanireddy/kaggle-machine-learning-and-data-science-survey", "kernel_id": "21844840"}, {"ref": "gopalmahadevan/dimensionality-reduction-clustering-kmldss", "kernel_id": "22245723"}, {"ref": "gungz87/is-machine-learning-work-aligned-with-job-title", "kernel_id": "22042185"}, {"ref": "shreshtha/women-in-data-science", "kernel_id": "22093924"}, {"ref": "katokev/kaggle-story-b-c-before-covid-and-through", "kernel_id": "22349201"}, {"ref": "virasm/kaggle-ml-ds-survey", "kernel_id": "22060700"}, {"ref": "gvyshnya/kaggle-in-cloud-in-2020-2021", "kernel_id": "22339699"}, {"ref": "imuhammad/elder-notebooks-vi-pick-your-data-hero", "kernel_id": "22271390"}, {"ref": "delaram/kaggle-2021-survey", "kernel_id": "22586781"}, {"ref": "dinhvantrong1991/myfirstpost-asimplestoryfromabeginner", "kernel_id": "22368050"}, {"ref": "ubajakacj/africa-in-ai", "kernel_id": "22170564"}, {"ref": "parselt/2021-kaggle-survey-age-is-just-a-number", "kernel_id": "22369789"}, {"ref": "emphymachine/2-pandas", "kernel_id": "22227752"}, {"ref": "emphymachine/recap-numpy-pandas-practice", "kernel_id": "22629036"}, {"ref": "djvivekj/kaggle-2021-community-bias-finding-most-popular", "kernel_id": "22268379"}, {"ref": "shashireena/kaggle-data-2021-analysis-using-pyspark", "kernel_id": "22110513"}, {"ref": "sadeka007/kaggle-data-science-dystopia-21-v3-12", "kernel_id": "22144332"}, {"ref": "sadeka007/kaggle-data-science-dystopia-21", "kernel_id": "22043820"}, {"ref": "aaghaisas/eda-becoming-a-data-scientist-in-india", "kernel_id": "22039803"}, {"ref": "sausha/companies-and-ml-world", "kernel_id": "22396377"}, {"ref": "nitishabharathi/not-ai-hype-cycle-2021-kaggle-version", "kernel_id": "22143615"}, {"ref": "antoniamarcu/academia-and-industry-a-story-told-in-bars", "kernel_id": "22353318"}, {"ref": "tofujuice/singaporean-kaggle-rs-the-million-journey", "kernel_id": "22058384"}, {"ref": "ozoozo/kaggle-survey-classifying-the-questions", "kernel_id": "22066827"}, {"ref": "ozoozo/kaggle-survey-multiple-column-questions", "kernel_id": "22103473"}, {"ref": "jacoporepossi/citizen-data-scientists-the-role-of-auto-ml-tools", "kernel_id": "22362756"}, {"ref": "lisaro/professional-profiles-encode-cluster-network", "kernel_id": "22251250"}, {"ref": "hannahz123/2021-kaggle-survey", "kernel_id": "22240385"}, {"ref": "samir95/an-attempt-at-statistically-analyzing-kagglers", "kernel_id": "22204101"}, {"ref": "siddhantsadangi/kaggle-2021-usa-vs-the-world", "kernel_id": "22356519"}, {"ref": "sreedevigattu/women-40years-in-ml-ds", "kernel_id": "22296839"}, {"ref": "rachanabisht/kaggle-survey-analysis-for-aspiring-data-scientist", "kernel_id": "22004994"}, {"ref": "jboss7/a-g-e-effect-on-programming-language", "kernel_id": "22342208"}, {"ref": "tahjudilwitra/should-we-master-everything-to-get-more-salary", "kernel_id": "22128053"}, {"ref": "ravichandrika5/what-we-say-when-we-say", "kernel_id": "22237292"}, {"ref": "michaelkpotter/a-topline", "kernel_id": "22202009"}, {"ref": "hyunkic/mlvsdl", "kernel_id": "22011243"}, {"ref": "hasanbasriakcay/what-has-changed-in-data-science", "kernel_id": "22323845"}, {"ref": "kayvanshah/dimensionality-reduction-clustering-kmldss", "kernel_id": "22015742"}, {"ref": "thuan1403/ds105", "kernel_id": "22370207"}, {"ref": "prajittr/kaggle-survey-2021-insights-india-us-comparison", "kernel_id": "22135467"}, {"ref": "latete/world-values-and-ds-community", "kernel_id": "22367324"}, {"ref": "anthonyakinsida/the-diversity-issue-in-data-science", "kernel_id": "22295585"}, {"ref": "christopherdzuwa/ai-is-the-future-but-where-are-women", "kernel_id": "22373866"}, {"ref": "daanderson/survey-as-text-kaggle-2021", "kernel_id": "22162864"}, {"ref": "katemelianova/early-career-kagglers-and-skills-development", "kernel_id": "22275253"}, {"ref": "carriech/kaggle-survey-2021-plotly-dropdown-menu", "kernel_id": "22033416"}, {"ref": "howoojang/data-science-the-next-battle-ground", "kernel_id": "22299350"}, {"ref": "ejunichi/kaggle-survey-seen-from-the-outside", "kernel_id": "22373805"}, {"ref": "kchinn9/charting-a-path-into-the-data-science-field-2021", "kernel_id": "22418984"}, {"ref": "khalilullahakbari/kaggle-survey-2021", "kernel_id": "22355296"}, {"ref": "fedouafaci/the-ml-and-ds-family-2021", "kernel_id": "22379092"}, {"ref": "guanhaibin/find-where-i-truly-belong", "kernel_id": "22386244"}, {"ref": "deepakkaura/are-you-an-indian-kaggler", "kernel_id": "22297059"}, {"ref": "apachefranklin/kaggle-survey-2019-2020-2021", "kernel_id": "22275806"}, {"ref": "ryanbbrown/the-analyst-zero-to-hero-og", "kernel_id": "22366880"}, {"ref": "ryanbbrown/the-analyst-zero-to-hero", "kernel_id": "22388441"}, {"ref": "mohitludhiyani/two-kingdoms-one-prophecy", "kernel_id": "22376133"}, {"ref": "noufalmalki/kaggle-ml-ds-survey-eda", "kernel_id": "22194185"}, {"ref": "data42lana/machine-learning-experience-plotly", "kernel_id": "22310095"}, {"ref": "muhammadgusanwaakbar/formula-to-be-successfull-in-data-science", "kernel_id": "22248920"}, {"ref": "annestockem/state-of-ai-kaggle-report-2021", "kernel_id": "22302904"}, {"ref": "gavisr/it-s-a-man-s-world-in-the-uk", "kernel_id": "22248075"}, {"ref": "khcloudwave/kaggle-survey-2021-analyzed-by-pyecharts", "kernel_id": "22348189"}, {"ref": "satyabrataroy/50-insights-kaggle-survey-analysis", "kernel_id": "22234220"}, {"ref": "devbratanuragi17078/india-vs-rest-of-the-world", "kernel_id": "22141467"}, {"ref": "danielanewton/interestingtimes", "kernel_id": "22211187"}, {"ref": "barbosajaf/survey-2021-kaggleml-ds", "kernel_id": "22383127"}, {"ref": "barbosajaf/clusteredstacked", "kernel_id": "22414926"}, {"ref": "sakshatrao/the-specaccs-murder-conspiracy", "kernel_id": "22153974"}, {"ref": "afrinahossain/exploring-top-five-participating-countries", "kernel_id": "22365526"}, {"ref": "cnicleoid/the-2021-kaggle-survey-geographic-showdown", "kernel_id": "22317482"}, {"ref": "aryarn/kaggle-survey-2021", "kernel_id": "22336551"}, {"ref": "beareman/eda-kaggle-data-scientists-in-europe", "kernel_id": "22207673"}, {"ref": "keithcooper/new-entrants-to-data-science", "kernel_id": "22067157"}, {"ref": "patelris/exploring-kaggle-survey-2021", "kernel_id": "22351576"}, {"ref": "sreenandasaidasari/what-has-changed-and-what-has-not", "kernel_id": "22384574"}, {"ref": "vvickeyy/do-non-professional-minds-think-like-professionals", "kernel_id": "22388345"}, {"ref": "welcomehere/kaggle-nigerians-in-data-science", "kernel_id": "22064538"}, {"ref": "jackwilliams3rd/how-many-people-are-same-situation-as-me", "kernel_id": "22337067"}, {"ref": "kiranclement/eda-4-usa-and-cloud", "kernel_id": "22220726"}, {"ref": "kiranclement/2021-kaggle-ml-ds-question-dataframe-code", "kernel_id": "22070397"}, {"ref": "kiranclement/tabular-playground-series-nov-2021-base-model", "kernel_id": "22239745"}, {"ref": "girishkumarsahu/kaggle-survey-2021", "kernel_id": "22085847"}, {"ref": "klemenvodopivec/where-do-kagglers-learn-data-science", "kernel_id": "22269327"}, {"ref": "gcmadhan/kaggle-survey-2021-eda", "kernel_id": "22228834"}, {"ref": "jessemarkglover/kaggle-2021-data-science-machine-learning-survey", "kernel_id": "22138921"}, {"ref": "jueun1617gmailcom/analysis-about-experienced-people-for-newbie", "kernel_id": "22032374"}, {"ref": "danielawong/2021-women-vs-men-in-ml-ds", "kernel_id": "22386070"}, {"ref": "zainulabdin45/kaggle-survey", "kernel_id": "22298135"}, {"ref": "heyrobin/legend-of-keg-journey-towards-data-science", "kernel_id": "22384201"}, {"ref": "carodias/data-heroines-saving-the-world-through-data", "kernel_id": "22317377"}, {"ref": "amangarg1804/what-drives-india-s-compensation-ml-approach", "kernel_id": "22377305"}, {"ref": "toysperfect/beginners-guide-in-there-data-science-journey", "kernel_id": "22342077"}, {"ref": "fathiaan/data-scientist-in-indonesia", "kernel_id": "22356212"}, {"ref": "samuelmacintyre/a-practical-guide-to-self-directed-learning", "kernel_id": "22373821"}, {"ref": "gaganmaahi224/marvel-theme-women-in-survey", "kernel_id": "22350378"}, {"ref": "gaganmaahi224/everything-you-need-to-know-in-plotly", "kernel_id": "22504721"}, {"ref": "alonabelolypetska/survey2021", "kernel_id": "22084334"}, {"ref": "hassanshahin/egyptian-endeavour-moment-of-truth", "kernel_id": "22211450"}, {"ref": "laxmiraji123/kaggle-survey-ml-2021", "kernel_id": "22294188"}, {"ref": "renokan/kaggle-survey-2021-2018-age-gender-education", "kernel_id": "22085939"}, {"ref": "renokan/kaggle-survey-2018-2021-columns-diff-in-datasets", "kernel_id": "22067078"}, {"ref": "satoshiss/kaggle-survey-explanatory-data-analysis-canada", "kernel_id": "22074035"}, {"ref": "arongyenge/team-yeaa-kaggle-survey-2021", "kernel_id": "22377963"}, {"ref": "sandeep2812/my-story-of-a-data-scientist-rj", "kernel_id": "22208139"}, {"ref": "shrikantbiyani/complete-question-wise-analysis", "kernel_id": "22165179"}, {"ref": "yoshisuke302/who-earns-a-lot-of-money", "kernel_id": "22376064"}, {"ref": "junhyeok99/about-south-korean-kagglers", "kernel_id": "22222342"}, {"ref": "lauraepilkington/2021-kaggle-machine-learning-data-science-survey", "kernel_id": "22363816"}, {"ref": "eshnajain/kaggle-ml-ds-survey-2021-demographics", "kernel_id": "22384381"}, {"ref": "sarwat182/the-languages-of-data-science", "kernel_id": "22373874"}, {"ref": "onkarpandhare/the-data-science-story-of-india", "kernel_id": "22336391"}, {"ref": "anunay66/kaggle-survey-21-question-by-question-analysis", "kernel_id": "22053750"}, {"ref": "stuthineal/bars-of-money-factors-that-affect-income", "kernel_id": "22128599"}, {"ref": "faranaknehzati/women-in-data-science", "kernel_id": "22390733"}, {"ref": "ishitabhatt/plotly-tutorial-for-kaggle-survey-competitions", "kernel_id": "22107597"}, {"ref": "sarahmashhood/the-success-story-compete-win-with-kaggle-data", "kernel_id": "22183740"}, {"ref": "aschamp/the-market-the-story-of-data-science-products", "kernel_id": "22371004"}, {"ref": "sachinbidwai/kaggle-survey-2021-responses-question-answer", "kernel_id": "22235727"}, {"ref": "shubhamoulkar/time-is-a-mysterious-variable", "kernel_id": "22375467"}, {"ref": "lunapandachan/young-vs-others", "kernel_id": "22211985"}, {"ref": "yuyougnchan/numeric-variable-end-with-this", "kernel_id": "22296593"}, {"ref": "yuyougnchan/look-at-this-note-numeric-variable-is-easy", "kernel_id": "22322709"}, {"ref": "hd23408/data-science-goes-mainstream", "kernel_id": "22198633"}, {"ref": "varshinikolana20b071/kaggle-dataanalysis-2021", "kernel_id": "22542611"}, {"ref": "zhuang58/tool-network-analysis-and-global-distribution", "kernel_id": "22324506"}, {"ref": "nikennabila/what-expert-uses-in-programming", "kernel_id": "22345487"}, {"ref": "akhmadthalibarrifqi/the-behavior-of-data-scientist-at-every-level", "kernel_id": "22330844"}, {"ref": "shahnoornadeem/kaggle-ml-survey-2021", "kernel_id": "22359323"}, {"ref": "catamelo/2021-compensation-gaps-in-latin-america", "kernel_id": "22187513"}, {"ref": "kimgoden/comparative-analysis-of-kor-ch-jap-and-usa", "kernel_id": "22128986"}, {"ref": "cjeanpierre/kaggle-survey-2021-a-female-quest", "kernel_id": "22231922"}, {"ref": "briaunabrown/predicting-the-recommended-first-language", "kernel_id": "22383016"}, {"ref": "kwdoku145/the-latest-trends-in-east-asia-japan-and-china", "kernel_id": "22125530"}, {"ref": "yoonhwayam/newbies-as-a-data-scientist-in-east-asia", "kernel_id": "22252180"}, {"ref": "amalalthaqafi/explore-ml-ds-survey-2020-2021-saudi-arabia", "kernel_id": "22189613"}, {"ref": "leeeyuuunjiii/notebook18e912220a", "kernel_id": "22077808"}, {"ref": "leeeyuuunjiii/notebookb65632169a", "kernel_id": "22041168"}, {"ref": "flume99/notebookdb00d8c6d4", "kernel_id": "22075618"}, {"ref": "ezzaldin6/a-quick-look-at-2021-kaggle-survey", "kernel_id": "23928182"}, {"ref": "kamaljp/stories-of-kagglers-till-2021", "kernel_id": "23458206"}, {"ref": "kamaljp/change-in-data-science-with-plotly", "kernel_id": "23695621"}, {"ref": "kamaljp/stories-of-kagglers-2021-by-plotly", "kernel_id": "23720353"}, {"ref": "kartikgo/kaggler-survey", "kernel_id": "23000659"}, {"ref": "upinderkahlon28/kaggle-survey-america-vs-india", "kernel_id": "23438407"}, {"ref": "oussamaouardini/kaggle-machine-learning-data-science-survey-2021", "kernel_id": "23893388"}, {"ref": "rajwinder2000/kaggle-survey2021", "kernel_id": "23100133"}, {"ref": "omarhussien12/kaggle-survey2021", "kernel_id": "23900312"}, {"ref": "nityavireshkant/kaggle-survey-assignment", "kernel_id": "23612300"}, {"ref": "takahirokubo0/amazon-web-service-share-in-data-scientists", "kernel_id": "24238505"}, {"ref": "baselahmed/notebookafc9e21e57", "kernel_id": "24344117"}, {"ref": "ibrahimothman/kaggle-2021-survey-compare-answers-by-roles", "kernel_id": "24230588"}, {"ref": "ibrahimothman/kaggle-2021-survey-look-at-age", "kernel_id": "24230814"}, {"ref": "noussaons/matplotlib-exercises", "kernel_id": "24727882"}, {"ref": "mhapich/kaggle-survey-data-2021-eda", "kernel_id": "24581699"}, {"ref": "asmaamosa/kaggle-survey-2021", "kernel_id": "24600467"}, {"ref": "vikrammeher/kaggle-survey-2021", "kernel_id": "24892764"}, {"ref": "ajaypalsinghlo/kaggle-survey-education", "kernel_id": "24395679"}, {"ref": "ishan2851/kaggle-survey-age", "kernel_id": "24507760"}, {"ref": "mohamedmoghazy/exploring-the-survey", "kernel_id": "24595422"}, {"ref": "ahmedfouad77/kaggle-survey-2021", "kernel_id": "24813927"}, {"ref": "yomnasayedsaif/2021-ds-survey", "kernel_id": "24601868"}, {"ref": "sarahmamdouh/data-visulaization", "kernel_id": "24922029"}, {"ref": "yaraabdelmegeed/data-analysis-and-visualization", "kernel_id": "24941880"}, {"ref": "howaidaallam/survey-2021-data-visualization", "kernel_id": "24934438"}, {"ref": "sibinthomas06/ml-ds-survey2021", "kernel_id": "24927275"}, {"ref": "amiraabdallahi/2021-survey-amira", "kernel_id": "24600996"}, {"ref": "kgg1ep/kaggle-survey-language", "kernel_id": "24801589"}, {"ref": "kgg1ep/data-scientists-kaggle-survey-2021-uk-vs-india", "kernel_id": "24150893"}, {"ref": "mohamedelgebaly/ds-survey-2021-heatmaps-are-lit", "kernel_id": "24599497"}, {"ref": "lobnaabdelaziz/python-graphs", "kernel_id": "24599072"}, {"ref": "tetyanabigun/ml-survey-2021-on-kaggle", "kernel_id": "24108195"}, {"ref": "amalismaiil/kaggle-2021-survey-amal-ismail", "kernel_id": "24601754"}, {"ref": "asmaaemad88/survey2021", "kernel_id": "24593034"}, {"ref": "asmaaemad88/2021-kaggle-machine-learning-data-science-survey", "kernel_id": "24591390"}, {"ref": "ananmohamed/kaggle-survey-2021", "kernel_id": "24882611"}, {"ref": "abdelrahmanohassan/just-a-visualization-playground", "kernel_id": "24573988"}, {"ref": "nohamahmoud22/notebookea64a675c3", "kernel_id": "24916466"}, {"ref": "yaraeha/yara-e", "kernel_id": "24884698"}, {"ref": "nourhananoaman/nourhan-ashraf", "kernel_id": "24954905"}, {"ref": "j2hoon85/plotly-tutorial", "kernel_id": "25709992"}, {"ref": "prakhosha/kaggle-machine-learning-data-science-survey-eda", "kernel_id": "25965886"}, {"ref": "sleetet/plotly-tutorial", "kernel_id": "25710023"}, {"ref": "valentinateslenko/kaggle-survey-for-the-article", "kernel_id": "25377058"}, {"ref": "allenkam/data-analysis-of-2021-kaggle-survey", "kernel_id": "25508850"}, {"ref": "shambhavibishnoi/kaggle-survey", "kernel_id": "25142113"}, {"ref": "janessalim/pf1103-tutorial-2-group-4-project-1", "kernel_id": "25503319"}, {"ref": "nuraryadint/kaggle-survey-2021-comparison-indonesia-vs-world", "kernel_id": "25247913"}, {"ref": "blackjjw/plotly-tutotrial", "kernel_id": "25709994"}, {"ref": "kmk3593/plotly-tutorial", "kernel_id": "25710008"}, {"ref": "woobinhwang/plotly-tutorial", "kernel_id": "25709986"}, {"ref": "sirin1234/plotly-tutorial", "kernel_id": "25710000"}, {"ref": "yangseunghak/plotly-tutorial", "kernel_id": "25710005"}, {"ref": "rlalastjd782/plotly-tutorial", "kernel_id": "25709999"}, {"ref": "jeha100/plotly-tutorial-m", "kernel_id": "25709995"}, {"ref": "jiwonkng/plotly-tutorial", "kernel_id": "25709997"}, {"ref": "gayeongzero/plotly-tutorial", "kernel_id": "25709989"}, {"ref": "jiminkim00/plotly-tutorial", "kernel_id": "25709998"}, {"ref": "seyeon0815/potly-tutorial", "kernel_id": "25710012"}, {"ref": "seungeun5/plotly-tutorial", "kernel_id": "25709990"}, {"ref": "taehyeon0915/plotly-tutorial", "kernel_id": "25710006"}, {"ref": "wintersadh/numpy-tutorial", "kernel_id": "25709993"}, {"ref": "emphymachine/4-kaggle-survey-casestudy", "kernel_id": "26466485"}, {"ref": "emphymachine/2-pandas-practice", "kernel_id": "26438276"}, {"ref": "holfyuen/kaggle-survey-2017-2022", "kernel_id": "26531102"}, {"ref": "afi1289/comprehensive-plotly", "kernel_id": "26630611"}, {"ref": "nolenja/2021-kaggle-ml-data-science-survey-using-r", "kernel_id": "26167015"}, {"ref": "minmong/kaggle-ds-ml-survey-2021-eda", "kernel_id": "26214770"}, {"ref": "paultimothymooney/2021-survey-job-title-research-scientist", "kernel_id": "27223272"}, {"ref": "yongxon/pros-are-different-in-algorithm-and-library-choice", "kernel_id": "27864377"}, {"ref": "paultimothymooney/2021-survey-job-title-student", "kernel_id": "28541431"}, {"ref": "kalelpark/kaggle-survey-2021-south-korea", "kernel_id": "28243949"}, {"ref": "drmac237/how-are-the-ladies-and-the-gents-doing", "kernel_id": "28104600"}, {"ref": "gabrielyangk/2021-kaggle-ml-ds-suvey-plotly", "kernel_id": "28469944"}, {"ref": "fajrikusuma/kaggle-survey-2019-2021-indonesia", "kernel_id": "29959796"}, {"ref": "hitarthagarwal/analysis-of-kaggle", "kernel_id": "29366523"}, {"ref": "shubhammoudgil/kaggle-survey-2021-india", "kernel_id": "29836120"}, {"ref": "fatmaelshall/survay2021", "kernel_id": "29502530"}, {"ref": "adhamabdo/kaggle-users-distrpution-by-programing-languages", "kernel_id": "29539416"}, {"ref": "paultimothymooney/kaggle-survey-2022-job-title-data-scientist", "kernel_id": "30964786"}, {"ref": "paultimothymooney/kaggle-survey-2022-all-results", "kernel_id": "30966266"}, {"ref": "paultimothymooney/kaggle-survey-2022-data-scientists-in-the-usa", "kernel_id": "30987895"}, {"ref": "jamilistiaq/kaggle-survey-2021-bangladesh", "kernel_id": "30019516"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "satoshiss/making-data-for-tps-sep", "kernel_id": "30077868"}, {"ref": "steubk/kaggle-survey-2022-historical-snapshot", "kernel_id": "31130751"}, {"ref": "narsil/data-science-salary-benchmarks", "kernel_id": "31864192"}, {"ref": "siddhantsadangi/usage-of-experiment-management-tools-2020-2022", "kernel_id": "31130539"}, {"ref": "loredanagheorghe/zoom-on-gender-in-the-kaggle-world", "kernel_id": "31831994"}, {"ref": "samuelgyamfi/how-are-people-getting-into-kaggle", "kernel_id": "31650396"}, {"ref": "vinitshah0110/data-science-survey-insights-yoy-trend", "kernel_id": "31320918"}, {"ref": "ksumeet/kaggle-visual-india", "kernel_id": "31080418"}, {"ref": "ahmedhammad01/data-science-the-cloud-2020-2022", "kernel_id": "31120164"}, {"ref": "danielanewton/notebook-uncertainty", "kernel_id": "31239409"}, {"ref": "sakshatrao/kaggle-survey-supporting-eda", "kernel_id": "31861907"}, {"ref": "mohamedbenmaiza/the-evolution-of-a-data-scientist", "kernel_id": "31573443"}, {"ref": "xxxxyyyy80008/covid-19-and-gender-equality", "kernel_id": "31290713"}, {"ref": "sandhyakrishnan02/what-changed-from-2021-to-2022-in-ml-and-ds", "kernel_id": "31825089"}, {"ref": "francescocolicino/once-upon-a-time-a-kaggle-survey", "kernel_id": "31358731"}, {"ref": "renokan/compare-column-names-answers-in-2022-2018", "kernel_id": "31726108"}, {"ref": "azisanw19/trends-ml-ds-2019-to-2022", "kernel_id": "31830799"}, {"ref": "amarnathaditya/eda-kaggle-2022", "kernel_id": "31507403"}, {"ref": "amarnathaditya/kaggle-survey-eda-2022", "kernel_id": "31247905"}, {"ref": "haseebahajikhan/who-are-the-senior-kagglers", "kernel_id": "31970092"}, {"ref": "sarangunasekaran/eda-analysis-skm-2022", "kernel_id": "31568378"}, {"ref": "tompaulat/survey-data-follow-the-money", "kernel_id": "31629745"}, {"ref": "narsil/data-professionals-compensation-prediction-tool", "kernel_id": "32423566"}, {"ref": "nitishabharathi/the-need-for-mlops", "kernel_id": "32051086"}, {"ref": "jacoporepossi/follow-the-flow-surveys-with-alluvial-plots", "kernel_id": "32776097"}, {"ref": "bhanuchanderu/things-you-should-know-aout-2022-kaggle-ml-survey", "kernel_id": "32382541"}, {"ref": "goldens/women-in-kaggle-by-age-range", "kernel_id": "32678148"}, {"ref": "haakakak/a-brief-history-of-kagglers-through-time", "kernel_id": "32694617"}, {"ref": "mmakiuchi/how-is-japan-doing", "kernel_id": "32559332"}, {"ref": "cuysaurus/ks2022-free-and-repressed-countries", "kernel_id": "32686673"}, {"ref": "bagasadiwaskita/kaggle-survey-2022-ds-ml-in-indonesia", "kernel_id": "32685675"}, {"ref": "wouldyoujustfocus/ladies-lean-in", "kernel_id": "32419117"}, {"ref": "sc6354/women-entering-and-women-in-the-ds-field-2022", "kernel_id": "32340628"}, {"ref": "sakshatrao/monop-olympics", "kernel_id": "32277055"}, {"ref": "afrinahossain/computer-vision-in-2022-what-s-the-current-state", "kernel_id": "32501812"}, {"ref": "nghihuynh/kaggle-2022-cloud-racing-ethical-ai-rising", "kernel_id": "32412156"}, {"ref": "syedabdulhaseebds/kaggle-survey-discovering-patterns-in-data", "kernel_id": "32494055"}, {"ref": "pranav941/trail-through-law-of-the-jungle", "kernel_id": "32306491"}, {"ref": "pranav941/kaggle-survey-make-your-data-analysis-a-breeze", "kernel_id": "32903434"}, {"ref": "renokan/compare-raw-clean-data-answers-in-2022-2018", "kernel_id": "32193382"}, {"ref": "renokan/eda-2022-2018-country-name-years-analysis", "kernel_id": "32077669"}, {"ref": "renokan/what-happened-in-industries-2022-2018", "kernel_id": "32273790"}, {"ref": "adeayosotayo/data-science-in-the-uk", "kernel_id": "32240276"}, {"ref": "milderielle/data-science-tools-diversity-scoring-analysis", "kernel_id": "32292497"}, {"ref": "m1y7k8/kaggle-survey-2022-2021", "kernel_id": "32090771"}, {"ref": "dsshrashetty/kagglesurvey2022dataanalysis", "kernel_id": "32751501"}, {"ref": "cjeanpierre/datum-sapiens", "kernel_id": "32293571"}, {"ref": "jubei7/meet-the-holy-trinity-data-sci-ml-in-2022", "kernel_id": "32900556"}, {"ref": "jubei7/ds-and-ml-in-2022-an-intersectional-analysis", "kernel_id": "32774674"}, {"ref": "madhurpant/india-on-the-rise", "kernel_id": "32644599"}, {"ref": "maheshekula/kaggle-survey-2022-comparing-with-2021-2022", "kernel_id": "32673011"}, {"ref": "xuhefangyuan/2022kaggle-20-22-globle-servey", "kernel_id": "32686083"}, {"ref": "yshangareev/kaggle-survey-2022vs2021", "kernel_id": "32415247"}, {"ref": "liangbaoml/data-science-in-developing-and-developed-countries", "kernel_id": "32763185"}, {"ref": "weichang1111/2020-2022-kaggle-survey-eda-with-r", "kernel_id": "32282944"}, {"ref": "takahirokubo0/cloud-service-usage-among-data-scientists", "kernel_id": "33310205"}, {"ref": "trancuong59196/how-is-vietnam-doing", "kernel_id": "33940417"}, {"ref": "olgabelitskaya/kaggle-ml-datascience-survey-part-1", "kernel_id": "38859328"}, {"ref": "tianmin/kaggle-survey-dataset-long-format-2017-2022-wip", "kernel_id": "40628007"}, {"ref": "manalatabarik/mlsurveyanalysis21-part1", "kernel_id": "41192477"}, {"ref": "mohameddanterr/matplotlip-application", "kernel_id": "44770571"}, {"ref": "pancholong/formal-education-s-impact-on-data-science-salaries", "kernel_id": "48138747"}, {"ref": "saalmaadel/notebookef76ff477e", "kernel_id": "50792121"}, {"ref": "ayaashraf454/matplotlib-exercises", "kernel_id": "52501186"}, {"ref": "ayaashraf454/notebookb4052b8354", "kernel_id": "55413397"}, {"ref": "islamzakariabebars/kaggle-survey", "kernel_id": "60654707"}, {"ref": "ayaashraf454/python-ai", "kernel_id": "62902009"}, {"ref": "lainguyn123/fork-of-head-in-the-clouds", "kernel_id": "64269390"}, {"ref": "ayaashraf454/9-17-python-ai", "kernel_id": "65917721"}, {"ref": "abdullahsaida011/eda-for-arabs-using-kaggle-2021", "kernel_id": "66949020"}, {"ref": "ayaashraf454/visualize", "kernel_id": "73482791"}, {"ref": "ayaashraf454/12-22", "kernel_id": "73437853"}, {"ref": "lainguyn123/data-science-in-2021-adaptation-or-adoption", "kernel_id": "81972462"}, {"ref": "priyharshgangwar/competitive-constellations-kaggle-s-kernels", "kernel_id": "87424917"}, {"ref": "elgazzar5/2021-kaggle-data-science-machine-learning-survey", "kernel_id": "95123973"}, {"ref": "tkgdayo/motiondiffusionmodel", "kernel_id": "110624806"}]}
{"competition_id": "31489", "kernels": []}
{"competition_id": "31491", "kernels": [{"ref": "beglec/looking-for-pumping-news", "kernel_id": "21396722"}]}
{"competition_id": "31492", "kernels": [{"ref": "ashutoshjangir/logical-rhythm-2k21-cars24", "kernel_id": "21598136"}, {"ref": "umangaggarwal/logical-rhythm-2k21-car-price-prediction", "kernel_id": "22816505"}, {"ref": "mra007/twr-cars24", "kernel_id": "22765989"}, {"ref": "swatikpatil/notebook22c061fd80", "kernel_id": "22729149"}, {"ref": "umangtri/car-price-prediction", "kernel_id": "23286459"}, {"ref": "dnaklord/cars24", "kernel_id": "87038784"}]}
{"competition_id": "31500", "kernels": []}
{"competition_id": "31505", "kernels": [{"ref": "darraghdog/beat-the-bird-benchmark", "kernel_id": "21040499"}, {"ref": "malachymoran/malachy-moran-birdwatch", "kernel_id": "21149267"}]}
{"competition_id": "31506", "kernels": []}
{"competition_id": "31508", "kernels": [{"ref": "leonelbenavidez/notebookd5c33f03fe", "kernel_id": "21880826"}]}
{"competition_id": "31514", "kernels": []}
{"competition_id": "31518", "kernels": [{"ref": "patrakova/lecture-4-ml-base", "kernel_id": "21054888"}, {"ref": "patrakova/hw1-tasks", "kernel_id": "21055018"}, {"ref": "viktoriyamamokhina/mamokhina-hw1-tasks", "kernel_id": "21298881"}, {"ref": "daniilfedorakhin/hw1-tasks", "kernel_id": "21294093"}]}
{"competition_id": "31522", "kernels": []}
{"competition_id": "31541", "kernels": [{"ref": "ashutoshjangir/cnn-try1", "kernel_id": "22328361"}, {"ref": "shauryadugar/go-deeper-s-gganbu", "kernel_id": "22885717"}, {"ref": "umangtri/gganbu", "kernel_id": "23285663"}, {"ref": "umangaggarwal/gganbu-7", "kernel_id": "31681172"}, {"ref": "dnaklord/gganbu", "kernel_id": "87119349"}]}
{"competition_id": "31546", "kernels": []}
{"competition_id": "31548", "kernels": [{"ref": "umangaggarwal/logical-rhythm-2k21-beans-notebook", "kernel_id": "21371055"}, {"ref": "ammmy7580/notebook8f274d2f93", "kernel_id": "21149242"}, {"ref": "karimullamohammad/beans-dataset-3472b4", "kernel_id": "21643276"}, {"ref": "ashutoshjangir/ashutosh-suthar", "kernel_id": "21584561"}, {"ref": "mra007/thanoswasright-p1-v1", "kernel_id": "22649507"}, {"ref": "umangtri/bean-packet-classification", "kernel_id": "23284880"}, {"ref": "dnaklord/beans", "kernel_id": "87023322"}]}
{"competition_id": "31556", "kernels": []}
{"competition_id": "31557", "kernels": [{"ref": "ryanmalin/ryan-s-titanic-mess", "kernel_id": "21124322"}, {"ref": "seanmorey/class-titanic", "kernel_id": "21122658"}]}
{"competition_id": "31559", "kernels": []}
{"competition_id": "31565", "kernels": [{"ref": "adirathgoswami/notebooka6c70aec7d", "kernel_id": "21111629"}, {"ref": "adityastark07/basic-eda-anyone-can-understand", "kernel_id": "21121385"}, {"ref": "riturajseal/network-attack-predictor", "kernel_id": "21104394"}]}
{"competition_id": "31574", "kernels": []}
{"competition_id": "31576", "kernels": [{"ref": "kuantinglai/notebook03880db6e1", "kernel_id": "21112108"}, {"ref": "danielweiyilin/notebook03880db6e1", "kernel_id": "52344133"}]}
{"competition_id": "31581", "kernels": []}
{"competition_id": "31583", "kernels": [{"ref": "vaishnavikhilari/book-price-prediction", "kernel_id": "21133136"}, {"ref": "yaswanthgali/data-preprocessing", "kernel_id": "21167772"}]}
{"competition_id": "31590", "kernels": [{"ref": "kuantinglai/110-1-dl-app-hw1", "kernel_id": "21127885"}]}
{"competition_id": "31592", "kernels": []}
{"competition_id": "31596", "kernels": []}
{"competition_id": "31600", "kernels": [{"ref": "omarshalaby1/esrb-rating-predictor", "kernel_id": "21134427"}]}
{"competition_id": "31604", "kernels": []}
{"competition_id": "31606", "kernels": [{"ref": "hey08895/dataloader-dummy-model", "kernel_id": "21143887"}]}
{"competition_id": "31609", "kernels": [{"ref": "hotsonhonet/macd-eda", "kernel_id": "21902529"}, {"ref": "thanatoz/single-inference-sharechat-gpu-pytorch", "kernel_id": "22474193"}, {"ref": "thanatoz/input-and-output-processing", "kernel_id": "22307427"}, {"ref": "gautamsagarnsit/using-muril-and-final-submission", "kernel_id": "22494126"}, {"ref": "hotsonhonet/macd-inference", "kernel_id": "22234610"}, {"ref": "hotsonhonet/macd-training-ml-and-nn-models", "kernel_id": "22141656"}, {"ref": "hotsonhonet/macd-fixing-submission", "kernel_id": "22707180"}, {"ref": "hotsonhonet/macd-tokenization-for-xlm-and-mbert", "kernel_id": "22715020"}, {"ref": "hotsonhonet/macd-training-xlm-transformer", "kernel_id": "22726528"}, {"ref": "hotsonhonet/macd-finding-a-good-threshold", "kernel_id": "22681926"}, {"ref": "hotsonhonet/macd-inference-xlmr-transformer", "kernel_id": "22634944"}, {"ref": "hotsonhonet/macd-training-muril-transformer", "kernel_id": "22611101"}, {"ref": "arzoosah/notebookb84f9ec5f6", "kernel_id": "22241698"}, {"ref": "sudhansusekharswain/macd-mbert-inference-transformer", "kernel_id": "22735064"}, {"ref": "vaishnavi912/testing", "kernel_id": "22403755"}]}
{"competition_id": "31612", "kernels": []}
{"competition_id": "31617", "kernels": []}
{"competition_id": "31621", "kernels": []}
{"competition_id": "31629", "kernels": [{"ref": "chenjiaxin0/notebook8ea22606fe", "kernel_id": "83599263"}]}
{"competition_id": "31630", "kernels": [{"ref": "daniil915/notebookd4f95cf0ef", "kernel_id": "21169245"}]}
{"competition_id": "31631", "kernels": []}
{"competition_id": "31632", "kernels": [{"ref": "hondahirotada/notebooka9b1134a9b", "kernel_id": "21290763"}, {"ref": "tanizakihidetoshi/fork-of-honda-lab-test-r2", "kernel_id": "21548626"}]}
{"competition_id": "31638", "kernels": []}
{"competition_id": "31640", "kernels": []}
{"competition_id": "31644", "kernels": [{"ref": "subinium/merry-christmas", "kernel_id": "13772432"}, {"ref": "ryanholbrook/getting-started-with-santa-2021", "kernel_id": "21886849"}, {"ref": "cashfeg/4th-place-solution-code", "kernel_id": "22217190"}, {"ref": "rdizzl3/christmas-movie-marathon", "kernel_id": "22075173"}, {"ref": "pehahn/r-evol-2", "kernel_id": "22355753"}, {"ref": "pehahn/basic-r", "kernel_id": "22248709"}, {"ref": "pehahn/tsp-with-r", "kernel_id": "22518899"}, {"ref": "chinta/simplenearestneighbour", "kernel_id": "22398142"}, {"ref": "anjum48/going-from-superpermutation-permutation-format", "kernel_id": "22193994"}, {"ref": "solverworld/statistics-of-costs-in-best-superpermutation", "kernel_id": "22223023"}, {"ref": "solverworld/distribution-of-duplicates-and-mandatories", "kernel_id": "22194237"}, {"ref": "raresbarbantan/visualize-solution", "kernel_id": "22582519"}, {"ref": "ranbato/sample-submission-in-8-lines", "kernel_id": "22158644"}, {"ref": "blankaf/my-santa-vol-3", "kernel_id": "22388039"}, {"ref": "ilialar/santa-2021-baseline-and-optimization-ideas", "kernel_id": "22088654"}, {"ref": "ulrich07/thanks-to-best-public-kernel", "kernel_id": "22864228"}, {"ref": "katsuomi/santa-baseline-2481-2-charas-loss", "kernel_id": "22651128"}, {"ref": "dan3dewey/santa-2021-lazy-elves", "kernel_id": "22978818"}, {"ref": "kostyaatarik/permutations-rebalancing", "kernel_id": "22330221"}, {"ref": "kostyaatarik/santa-2021", "kernel_id": "22074116"}, {"ref": "kostyaatarik/colored-traveling-salesman-problem", "kernel_id": "22496866"}, {"ref": "kostyaatarik/minmax-ctsp", "kernel_id": "22511332"}, {"ref": "cdeotte/santa-2021-tsp-baseline-2500", "kernel_id": "22121446"}, {"ref": "sgreiner/santa-shuffle-solution-from-scratch", "kernel_id": "22969328"}, {"ref": "yosshi999/wildcard-postprocessing-using-dynamic-programming", "kernel_id": "22150645"}, {"ref": "yosshi999/just-split-the-known-minimum-solution-for-n-7", "kernel_id": "22079010"}, {"ref": "ks2019/santa-baseline-2481", "kernel_id": "22579186"}, {"ref": "ks2019/santa-5th-place-2428", "kernel_id": "22348640"}, {"ref": "felipefonte99/santa-2021-with-google-or-tools", "kernel_id": "22380656"}, {"ref": "jazivxt/winter-fun", "kernel_id": "22108740"}, {"ref": "jazivxt/brute-force-recursion-with-reduction-limits", "kernel_id": "22749591"}, {"ref": "joatom/santa-2021-build-superpermutation-5913", "kernel_id": "22116893"}, {"ref": "kmldas/baseline-rebalance-wildcard-postprocessing-2490", "kernel_id": "22370231"}, {"ref": "ted0071/santa-2021-starter", "kernel_id": "22351296"}, {"ref": "mpwolke/watch-out-santa-is-coming-to-kaggle", "kernel_id": "22073950"}, {"ref": "saraswatitiwari/santa-2021-the-merry-movie-montage", "kernel_id": "22127650"}, {"ref": "tensorchoko/santa-2021-eda-for-beginner-jp-en", "kernel_id": "22184682"}, {"ref": "sidett/kaggle-santa-2021-for-japanese", "kernel_id": "22085299"}, {"ref": "neelakashchatterjee/santa-coming-from-6985-to-2647-naive-approach", "kernel_id": "22521913"}, {"ref": "aniketsharma00411/santa-2021-problem-analysis", "kernel_id": "22228606"}, {"ref": "aniketsharma00411/santa-2021-sample-submission", "kernel_id": "22229175"}, {"ref": "aniketsharma00411/santa-2021-local-cheapest-arc-or-tools", "kernel_id": "22531025"}, {"ref": "aniketsharma00411/santa-2021-local-search", "kernel_id": "22528368"}, {"ref": "xuxu1234/santa-rebalancing-1", "kernel_id": "22612115"}, {"ref": "xuxu1234/santa-baseline", "kernel_id": "22611942"}, {"ref": "xuxu1234/santa-ctsp-2", "kernel_id": "22613530"}, {"ref": "ravishah1/superpermutation-w-custom-tsp-graph-heuristics", "kernel_id": "22150115"}, {"ref": "kishalmandal/santa-particle-swarm-optimisation-2548", "kernel_id": "22181715"}, {"ref": "atmguille/santa-2021-print-perms-distance", "kernel_id": "22615763"}, {"ref": "renokan/kaggle-santa-2021-create-solution-2440", "kernel_id": "22707258"}, {"ref": "renokan/kaggle-santa-2021-solution-2440-38-35-34-33-30", "kernel_id": "22848774"}, {"ref": "rhythmcam/python-basic-maketrans-translate-usage", "kernel_id": "22176109"}, {"ref": "osamaneamah/notebook12bd039d04", "kernel_id": "22202812"}, {"ref": "saijashwanthreddy/minmax-ctsp", "kernel_id": "22855503"}, {"ref": "w3579628328/2440-2428-easy-to-understand", "kernel_id": "22488085"}, {"ref": "w3579628328/mathematic-laws-about-super-permutation", "kernel_id": "22541221"}, {"ref": "adrienbouvais/santa-schedule-verification", "kernel_id": "22566521"}, {"ref": "adrienbouvais/ants-for-santa-an-ant-colony-optimization", "kernel_id": "22688830"}, {"ref": "seshurajup/visualize-with-without-wildcard-sol-300-clones", "kernel_id": "23061457"}, {"ref": "atamazian/santa-2021-tsp-baseline-with-concorde", "kernel_id": "23487524"}, {"ref": "katsuomi/solving-without-optimization-methods", "kernel_id": "23835579"}, {"ref": "haozhang607/santa-2021-the-merry-movie-montage", "kernel_id": "23804102"}, {"ref": "mviola/santa-2021-randomized-wildcard-postprocessing", "kernel_id": "23778361"}, {"ref": "chaudharypriyanshu/st-21-a-perm-rebalancing-wildcard-optimization", "kernel_id": "23248034"}, {"ref": "neelakashchatterjee/merry-christmas-6985-to-2623-without-wildcards", "kernel_id": "23042837"}, {"ref": "taanieluleksin/wilcard-optimization-with-acvrp-up-to-2430", "kernel_id": "23612981"}, {"ref": "atmguille/kaggle-2021-global-optimizer", "kernel_id": "23834337"}, {"ref": "atmguille/santa-2021-best-place-for-wildcards", "kernel_id": "23833827"}, {"ref": "miguelgonzalez2/santa-2021-wildcard-insertion-lkh", "kernel_id": "23745686"}, {"ref": "miguelgonzalez2/santa-2021-wildcard-longer-patterns-groups", "kernel_id": "23848037"}, {"ref": "saijashwanthreddy/2446-score", "kernel_id": "23602278"}, {"ref": "mashuqi/st-21-a-perm-rebalancing-wildcard-optimization", "kernel_id": "23603347"}, {"ref": "skril31/generating-a-2428-solution-in-100-lines-of-code", "kernel_id": "23774412"}, {"ref": "vinitkp/getting-started-with-santa-2021", "kernel_id": "48624759"}, {"ref": "vinitkp/4th-place-solution-code", "kernel_id": "48562368"}, {"ref": "vinitkp/santa-5th-place-2428", "kernel_id": "48562568"}, {"ref": "ankandebnath/santa-2021-the-merry-movie-montage", "kernel_id": "61993852"}]}
{"competition_id": "31648", "kernels": []}
{"competition_id": "31651", "kernels": []}
{"competition_id": "31657", "kernels": []}
{"competition_id": "31660", "kernels": [{"ref": "sreeramg1997/machine-learning-challenge", "kernel_id": "21268564"}, {"ref": "arjunprasadsarkhel/lgbm-k-folds", "kernel_id": "21291443"}, {"ref": "aakashgupta38/notebookfae736842d", "kernel_id": "21280154"}, {"ref": "karthikeyanak25/ann-prediction", "kernel_id": "21368251"}]}
{"competition_id": "31666", "kernels": []}
{"competition_id": "31668", "kernels": [{"ref": "richielee630/zhaoqinli-notebook-cmpe188-kaggle", "kernel_id": "21867518"}]}
{"competition_id": "31680", "kernels": []}
{"competition_id": "31683", "kernels": []}
{"competition_id": "31687", "kernels": [{"ref": "kuantinglai/ntut-ai-edge-computing-lab1", "kernel_id": "21245081"}]}
{"competition_id": "31693", "kernels": []}
{"competition_id": "31695", "kernels": []}
{"competition_id": "31703", "kernels": [{"ref": "shantanu778/casava-efficient-pytorch", "kernel_id": "14444489"}, {"ref": "knightbearr/python-cheat-sheet-knightbearr", "kernel_id": "20121331"}, {"ref": "rbhambri/great-barrier-reefs-eda", "kernel_id": "22413985"}, {"ref": "parapapapam/yolox-inference-tracking-on-cots-lb-0-539", "kernel_id": "22997338"}, {"ref": "robikscube/barrier-reef-starfish-starter-twitch-stream", "kernel_id": "22387559"}, {"ref": "diegoalejogm/great-barrier-reefs-eda-with-animations", "kernel_id": "22222588"}, {"ref": "shivarama/wandb-basic-image-vizualization", "kernel_id": "22254718"}, {"ref": "thalesgaluchi/how-to-create-video-files-from-frame-sequences", "kernel_id": "22734924"}, {"ref": "vsedelnik/detectron2-faster-r-cnn-starter", "kernel_id": "22469937"}, {"ref": "mosthusnejahan/cots-detection-w-tensorflow-object-detection-api", "kernel_id": "22317645"}, {"ref": "coldfir3/clean-modular-yolox-training-script", "kernel_id": "22586366"}, {"ref": "coldfir3/simple-yolox-dataset-generator-coco-json", "kernel_id": "22709078"}, {"ref": "coldfir3/efficient-yolov5-dataset-generator", "kernel_id": "22534843"}, {"ref": "kunalgoyal/visualization", "kernel_id": "22389263"}, {"ref": "sohier/great-barrier-reef-api-tutorial", "kernel_id": "22120441"}, {"ref": "iamprateek/cots-yolov4-train", "kernel_id": "22788502"}, {"ref": "julian3833/detr-detection-transformer-train-0-189", "kernel_id": "22794537"}, {"ref": "julian3833/reef-starter-torch-fasterrcnn-train-lb-0-416", "kernel_id": "22222556"}, {"ref": "julian3833/reef-starter-torch-fasterrcnn-infer-lb-0-416", "kernel_id": "22222558"}, {"ref": "julian3833/reef-minimal-eda", "kernel_id": "22222309"}, {"ref": "julian3833/reef-a-cv-strategy-subsequences", "kernel_id": "22244902"}, {"ref": "ashishrose/exploratory-data-analysis-on-reef", "kernel_id": "22818901"}, {"ref": "suneetsaini/great-barrier-reef-beginner-s-yolov5-model", "kernel_id": "22261302"}, {"ref": "orchaz/help-protect-the-great-barrier-reef-eda", "kernel_id": "22895687"}, {"ref": "orchaz/yolox-inference", "kernel_id": "22987667"}, {"ref": "bamps53/competition-metric-implementation", "kernel_id": "22225406"}, {"ref": "bamps53/create-annotated-video", "kernel_id": "22223196"}, {"ref": "hougejzz/notebookc0e59f7141", "kernel_id": "22398909"}, {"ref": "ethon543/yolox-inference", "kernel_id": "22664076"}, {"ref": "dschettler8845/tf-find-cots-keras-efficientdet-eval-infer", "kernel_id": "22820761"}, {"ref": "dschettler8845/tf-find-the-cots-eda-baseline", "kernel_id": "22222134"}, {"ref": "dschettler8845/tfrecords-find-the-cots", "kernel_id": "22412537"}, {"ref": "acapricorni/greet-barrier-reef-visual-data-exploration", "kernel_id": "22232742"}, {"ref": "warotjanpinitrat/cots-cv-strategy-subsequences", "kernel_id": "22682624"}, {"ref": "warotjanpinitrat/cots-faster-rcnn-inference", "kernel_id": "22751256"}, {"ref": "warotjanpinitrat/faster-rcnn-train", "kernel_id": "22740019"}, {"ref": "nowza1540/cots-detection-efficientdet-d01-practice", "kernel_id": "22678372"}, {"ref": "casfranco/eda-let-s-understand-the-data-protect-the-reef", "kernel_id": "22399692"}, {"ref": "gimarcecaml/cots-det-yolov4-darknet-install-train-infer", "kernel_id": "22414894"}, {"ref": "bhanuchanderu/area-wise-filtering-visualization", "kernel_id": "22681099"}, {"ref": "au1206/eda-finding-starfish", "kernel_id": "22230682"}, {"ref": "natthasit/great-barrier-reef-train", "kernel_id": "22256397"}, {"ref": "get2jawa/great-barrier-reefs-basic-simple-eda", "kernel_id": "22317829"}, {"ref": "seungtaekim/faster-r-cnn-the-great-barrier-reef", "kernel_id": "22741050"}, {"ref": "werooring/basic-eda-starter-for-everyone", "kernel_id": "22255686"}, {"ref": "ayuraj/train-cots-detection-using-yolov5-and-w-b", "kernel_id": "22232312"}, {"ref": "ayuraj/visualize-the-cots-interactively-with-w-b", "kernel_id": "22229577"}, {"ref": "tomp1121/max-min-area-eda", "kernel_id": "22861682"}, {"ref": "khanhlvg/tensorflow-prepare-cots-dataset-for-tpu", "kernel_id": "22239922"}, {"ref": "khanhlvg/tpu-tensorflow-cots-detection", "kernel_id": "22234491"}, {"ref": "khanhlvg/tensorflow-inference-using-efficientdet-d4-model", "kernel_id": "22263056"}, {"ref": "khanhlvg/inference-using-efficientdet-d0-model-tensorflow", "kernel_id": "22227119"}, {"ref": "khanhlvg/cots-detection-w-tensorflow-object-detection-api", "kernel_id": "22147611"}, {"ref": "sourabhthakur/great-barrier-reef-eda-fast-rcnn", "kernel_id": "22901308"}, {"ref": "sourabhthakur/reef-modelling-tf-setup-and-data-preprocessing", "kernel_id": "22944925"}, {"ref": "vadbeg/yolox-dataset-split", "kernel_id": "22966565"}, {"ref": "stpeteishii/great-barrier-reef-animation", "kernel_id": "22235438"}, {"ref": "alibaba19/initial-eda-great-barrier-reef-starfish", "kernel_id": "22220972"}, {"ref": "osamurai/train-efficientdet-pytorch", "kernel_id": "22348490"}, {"ref": "ahmedewida/barrier-reef-yolox-inference-paramaters", "kernel_id": "22782547"}, {"ref": "sovitrath/cots-tfod-setup", "kernel_id": "22895316"}, {"ref": "lolik228/yolox-reef-detection", "kernel_id": "22543387"}, {"ref": "mpwolke/protect-coral-cots-control", "kernel_id": "22222595"}, {"ref": "mpwolke/cots-control-forum-pdf", "kernel_id": "22252275"}, {"ref": "emiz6413/swintransformer-with-detectron2", "kernel_id": "22552990"}, {"ref": "drcapa/great-barrier-reef-starter", "kernel_id": "22221284"}, {"ref": "onebugbear/faster-rcnn", "kernel_id": "22780252"}, {"ref": "pavan9065/explore-using-efficientdet-d0-model-tensorflow", "kernel_id": "22262945"}, {"ref": "bukenyalukman/tensorflow-help-protect-the-great-barrier-reef", "kernel_id": "22397738"}, {"ref": "morizin/greater-reef-predictor", "kernel_id": "22650513"}, {"ref": "andradaolteanu/greatbarrierreef-full-guide-to-bboxaugmentation", "kernel_id": "22606428"}, {"ref": "mahipalsingh/detection-using-keras-retinanet-inference", "kernel_id": "22999259"}, {"ref": "mahipalsingh/detection-using-keras-retinanet-train", "kernel_id": "22238166"}, {"ref": "awsaf49/great-barrier-reef-yolov5-train", "kernel_id": "22220328"}, {"ref": "awsaf49/great-barrier-reef-yolov5-infer", "kernel_id": "22226265"}, {"ref": "soumya9977/detectron2-fasterrcnn-code-submission", "kernel_id": "22316120"}, {"ref": "soumya9977/learning-to-sea-underwater-img-enhancement-eda", "kernel_id": "22371307"}, {"ref": "dinowun/eda-solution-simplified", "kernel_id": "22365902"}, {"ref": "dinowun/the-help-protect-the-great-barrier-reef-code", "kernel_id": "22229712"}, {"ref": "datastrophy/cots-tfod2-api-setup-faster-rcnn", "kernel_id": "22220438"}, {"ref": "adnanpen/tensorflow-object-detection-api", "kernel_id": "22350710"}, {"ref": "adnanpen/efficientdet-d2-tensorflow-object-detection-api", "kernel_id": "22721144"}, {"ref": "saraswatitiwari/tf-protect-the-great-barrier-reefs", "kernel_id": "22643244"}, {"ref": "saraswatitiwari/tensorflow-help-to-protect-the-great-barrier-reef", "kernel_id": "22430994"}, {"ref": "saraswatitiwari/tensorflow-help-protect-the-great-barrier-reef", "kernel_id": "22238216"}, {"ref": "amboou/barrier-reef", "kernel_id": "22751501"}, {"ref": "tahatamir/objectd-t", "kernel_id": "22352230"}, {"ref": "elisead/gbr-yolov5-train", "kernel_id": "22583027"}, {"ref": "elisead/gbr-exploration-v1", "kernel_id": "22509817"}, {"ref": "elisead/gbr-yolox-train-infer", "kernel_id": "22901612"}, {"ref": "upstartdev/protect-the-reef-eda-ipynb", "kernel_id": "22385494"}, {"ref": "dragonzhang/yolox-inference-on-kaggle-for-cots-forked", "kernel_id": "22490532"}, {"ref": "dragonzhang/yolox-inference-on-kaggle-for-cots-lb-0-520", "kernel_id": "22907889"}, {"ref": "lonnieqin/inference-using-efficientdet-d0-model-tensorflow", "kernel_id": "22233845"}, {"ref": "scr0ll0/great-barrier-reef-eda-animation", "kernel_id": "22731904"}, {"ref": "remekkinas/yolox-inference-on-kaggle-for-cots-lb-0-507", "kernel_id": "22441361"}, {"ref": "remekkinas/yolox-training-pipeline-cots-dataset-lb-0-507", "kernel_id": "22405242"}, {"ref": "debarshichanda/w-b-tables-great-barrier-reef-eda", "kernel_id": "22236492"}, {"ref": "pushpakbhoge/convert-to-coco", "kernel_id": "22738476"}, {"ref": "tatamikenn/balanced-fold-splitting-algorithm", "kernel_id": "22528727"}, {"ref": "tatamikenn/starfish-generate-psgan-dataset", "kernel_id": "22694439"}, {"ref": "tatamikenn/generating-fake-starfish", "kernel_id": "22733646"}, {"ref": "vovinsa/starfish-detection-using-faster-rcnn", "kernel_id": "22336766"}, {"ref": "yoshikuwano/eda-non-annotated-starfish", "kernel_id": "22254509"}, {"ref": "aminghani/inference-using-efficientdet-d0-model-tuning", "kernel_id": "22240485"}, {"ref": "aminghani/visualize-some-images-with-annotations", "kernel_id": "22239648"}, {"ref": "mahtabhossain/gbf-eda", "kernel_id": "22883309"}, {"ref": "kavehshahhosseini/tf-cots-tensorflow-efficientdet-d2", "kernel_id": "22916946"}, {"ref": "shanmukh05/protect-great-barrier-reef-eda-w-b", "kernel_id": "22229726"}, {"ref": "shanmukh05/protect-gbr-icevision-training", "kernel_id": "22708245"}, {"ref": "tomcspark/protect-gbr-icevision-training", "kernel_id": "22808894"}, {"ref": "anhnguyen811/eda-help-the-great-barrier-reef", "kernel_id": "22422999"}, {"ref": "oussamayousre/great-barrier-reef-initial-submission", "kernel_id": "22645412"}, {"ref": "cowfrica/detect-crown-of-thorns-starfish-train", "kernel_id": "22968921"}, {"ref": "ammarnassanalhajali/barrier-reef-yoloxxx-inference", "kernel_id": "22694793"}, {"ref": "ammarnassanalhajali/barrier-reef-yolox-training", "kernel_id": "22670373"}, {"ref": "ammarnassanalhajali/barrier-reef-yolox-inference", "kernel_id": "22953101"}, {"ref": "ammarnassanalhajali/barrier-reef-yolov5-training", "kernel_id": "22311333"}, {"ref": "ammarnassanalhajali/barrier-reef-detectron2-inference", "kernel_id": "22467946"}, {"ref": "ammarnassanalhajali/barrier-reef-detectron2-training", "kernel_id": "22426686"}, {"ref": "ammarnassanalhajali/barrier-reef-yolov5-inference", "kernel_id": "22395980"}, {"ref": "aryanlala/object-detection-great-barrier-reef", "kernel_id": "22501319"}, {"ref": "parthshastri/tf-find-the-cots-eda", "kernel_id": "22426411"}, {"ref": "amishra527/learning-to-sea-underwater-img-enhancement-eda", "kernel_id": "22634983"}, {"ref": "csarolivares/help-reef-challenge-cots-detection-with-detr", "kernel_id": "22320570"}, {"ref": "csarolivares/own-great-barrier-reef-yolov5-train", "kernel_id": "22922345"}, {"ref": "nyanswanaung/greatbarrierreef-eda", "kernel_id": "22927616"}, {"ref": "ahmedsabrytamam/notebook1", "kernel_id": "22575026"}, {"ref": "kartik2khandelwal/data-analysis-and-prediction", "kernel_id": "22580817"}, {"ref": "abhishekme19b069/inference-effnet-b0-tensorflow", "kernel_id": "22435408"}, {"ref": "mnephisto/basic-data-exploration-image-visualizer", "kernel_id": "22438515"}, {"ref": "camilleingram/jiacaijun-201943378-reef-retinane", "kernel_id": "22629025"}, {"ref": "ravishah1/cots-faster-rcnn-inference-tf-2-0-od-api-0-474", "kernel_id": "22829514"}, {"ref": "ravishah1/cots-faster-rcnn-training-w-tf-2-0-od-api-0-474", "kernel_id": "22843197"}, {"ref": "shichaoming/scm-201943407", "kernel_id": "22553073"}, {"ref": "matthieubritoantunes/starfish-detection", "kernel_id": "22869369"}, {"ref": "matthieubritoantunes/tensorflow-object-detection-api-experiment", "kernel_id": "22865346"}, {"ref": "matthieubritoantunes/great-barrier-reef-exploratory-data-analysis", "kernel_id": "22858787"}, {"ref": "dingshuoyang/qimo-yangdingshuo-201943396", "kernel_id": "22664895"}, {"ref": "wxixi123/tensorflow-help-protect-the-great-barrier-reef", "kernel_id": "22419093"}, {"ref": "ccikss519/cjle-201943371", "kernel_id": "22455726"}, {"ref": "kurochkinalexey/save-test", "kernel_id": "22683140"}, {"ref": "vivian19/lijiayu-201943391-great-barrier-reef", "kernel_id": "22575792"}, {"ref": "gopalbhattrai/mobilenet-vs-yolo-v5-tensorflow-barrier-reef", "kernel_id": "22681885"}, {"ref": "kuangying/kuangying-help-protect-the-great-barrier-reef", "kernel_id": "22461082"}, {"ref": "weijiale001/201943399-wjl", "kernel_id": "22607245"}, {"ref": "weijiale001/czh-201943382", "kernel_id": "22513054"}, {"ref": "andrewcx/cjy-201943385", "kernel_id": "22479714"}, {"ref": "vexxingbanana/reef-coco-dataset-notebook", "kernel_id": "22253549"}, {"ref": "lokeshsaipureddi/simple-eda-and-data-visualization", "kernel_id": "22357000"}, {"ref": "rhythmcam/ast-basic-string-expression", "kernel_id": "22238117"}, {"ref": "rhythmcam/great-barrier-reef-eda", "kernel_id": "22229099"}, {"ref": "sjyangkevin/eda-bouding-box-analysis-annotated-videos", "kernel_id": "22220742"}, {"ref": "sarabhian/gbr-extremely-beginner-level-guide-1", "kernel_id": "22742417"}, {"ref": "jinzhaozhang/zhangjinzhao-201943386", "kernel_id": "22664946"}, {"ref": "shakshyathedetector/great-barrier-reef-using-pretrained-model", "kernel_id": "22303061"}, {"ref": "dilipkola/great-barrier-reef-data-exploration", "kernel_id": "22603254"}, {"ref": "kumudsingh9/tensorflow-protecting-coral-reef", "kernel_id": "22762749"}, {"ref": "nitikverma/great-barrier-reef-yolox-yolov5-ensemble", "kernel_id": "22968532"}, {"ref": "manueldahmen/notebook6b0cac3bde", "kernel_id": "22817040"}, {"ref": "ahemateja19bec1025/great-barrier-reef-yolov5-training", "kernel_id": "22651632"}, {"ref": "yelim421/help-protect-the-great-barrier-reef", "kernel_id": "22721205"}, {"ref": "guiyumeng/201943388-guiyumeng-reef", "kernel_id": "22598997"}, {"ref": "zbowenzhang/zhangbw-201943374", "kernel_id": "22532022"}, {"ref": "xiaominliu2019/great-barrier-reef-liu-xiaomin-201943405", "kernel_id": "22459949"}, {"ref": "mashichao201942499/mashichao-201942499-qimo", "kernel_id": "22390738"}, {"ref": "hryanghe/help-protect-the-great-barrier-reef-he-ruorang", "kernel_id": "22459576"}, {"ref": "hryanghe/zhangzizhu-201943395", "kernel_id": "22677771"}, {"ref": "hryanghe/zzz-201943395", "kernel_id": "22681174"}, {"ref": "wangzhezhe/wangzhezhe-201943379", "kernel_id": "22534629"}, {"ref": "fanlonghao/201943387flhflh", "kernel_id": "22504747"}, {"ref": "xiugou/zhangzixiang201943394", "kernel_id": "22668822"}, {"ref": "dongxinpeng406/201943406-dongxinpeng", "kernel_id": "22677430"}, {"ref": "dongxinpeng406/dongxinpeng-201943406", "kernel_id": "22676663"}, {"ref": "fennu404/wangzihan-201943404-qimo", "kernel_id": "22550355"}, {"ref": "krisxuuu/xumiao201943400", "kernel_id": "22676495"}, {"ref": "cuimengxian201943377/cuimengxian-201943377-great-barrier-reef", "kernel_id": "22635545"}, {"ref": "kaggle0217/gzh-201943372", "kernel_id": "22676128"}, {"ref": "fanxing2001/201943402", "kernel_id": "22449254"}, {"ref": "caohaopeng/caohaopeng-201943390-1", "kernel_id": "22510965"}, {"ref": "woshinide/wangyufan201943389", "kernel_id": "22677976"}, {"ref": "woshinide/notebookb1e394dc46", "kernel_id": "22679122"}, {"ref": "archye/xqy-201943380", "kernel_id": "22502516"}, {"ref": "haoshuoxian/haoshuoxian-201943381", "kernel_id": "22647336"}, {"ref": "lvzino1/lvxuejie-1943401", "kernel_id": "22630266"}, {"ref": "mazihao/201943393-mzh", "kernel_id": "22633727"}, {"ref": "xiaotiana/tianyujing-1-201943410", "kernel_id": "22641793"}, {"ref": "pengbocai201943376/201943376-pengbocai", "kernel_id": "22608761"}, {"ref": "rezzx9/zzx-201943383", "kernel_id": "22648200"}, {"ref": "clemchris/pytorch-lightning-faster-r-cnn-inference-lb-0-358", "kernel_id": "22335158"}, {"ref": "clemchris/pytorch-lightning-faster-r-cnn-finetuning-lb-0-358", "kernel_id": "22312776"}, {"ref": "dhinaharp/inference-using-efficientdet-d0-model-tensorflow", "kernel_id": "22325301"}, {"ref": "czhhzc/czh-ding", "kernel_id": "22608120"}, {"ref": "zhangweizhangwei/zhangwei-201943409", "kernel_id": "22674114"}, {"ref": "lprdosmil/tf-great-barrier-reef", "kernel_id": "22491546"}, {"ref": "malinnn/malin-201943375", "kernel_id": "22678909"}, {"ref": "managingstuffs/notebook7ea197a6bd", "kernel_id": "22231229"}, {"ref": "hiuptm/great-barrier-reef-yolov5-train", "kernel_id": "22968364"}, {"ref": "apidwalinz/reef-starter-torch-fasterrcnn-train-lb-0-416", "kernel_id": "22366026"}, {"ref": "mamengyaoo/mamengyao-qimo", "kernel_id": "22395584"}, {"ref": "hey24sheep/dataset-gen-barrier-reef-challenge-for-yolov5", "kernel_id": "22816124"}, {"ref": "hey24sheep/submission-barrier-reef-challenge-with-yolov5l6", "kernel_id": "22763495"}, {"ref": "hey24sheep/barrier-reef-challenge-with-yolov5l", "kernel_id": "22489219"}, {"ref": "zhangjiaming001/zhangjiaming201943537", "kernel_id": "22609171"}, {"ref": "bavesh123/barrier-reef-yolox-inference", "kernel_id": "22925777"}, {"ref": "hengck23/my-yolox-s-1440x2560", "kernel_id": "23551481"}, {"ref": "avinashrai/nanodet-training", "kernel_id": "23389902"}, {"ref": "tiandaye/infer-cots-exp003-yolov5-fold0", "kernel_id": "23780404"}, {"ref": "steamedsheep/yolov5-is-all-you-need", "kernel_id": "23812137"}, {"ref": "steamedsheep/yolov5-high-resolution-training", "kernel_id": "23852210"}, {"ref": "mohammadakhavan75/converting-labels-for-yolov5", "kernel_id": "23562913"}, {"ref": "liuzhangzhen/colab-to-run-yolox", "kernel_id": "23576296"}, {"ref": "iamprateek/cots-yolov4-submission", "kernel_id": "23010106"}, {"ref": "julian3833/detr-detection-transformer-infer-0-189", "kernel_id": "23797243"}, {"ref": "shigengtian/yolov5-is-all-you-need-and-tracking", "kernel_id": "23863800"}, {"ref": "mlneo07/mmdetection-swin-transformer-fasterrcnn-training", "kernel_id": "23389112"}, {"ref": "mlneo07/mmdetection-swin-transfomer-frcnn-inference-0-443", "kernel_id": "23386651"}, {"ref": "dschettler8845/exhaustive-learning-eda-survey-feedback-prize", "kernel_id": "23308053"}, {"ref": "dipitj/team-jay-cots-rcnn", "kernel_id": "23734698"}, {"ref": "sambhavsr/tf-great-barrier-reef-eda", "kernel_id": "23164206"}, {"ref": "natthasit/protect-barrier-reef-train", "kernel_id": "23960854"}, {"ref": "chankhavu/ground-truth-tracking", "kernel_id": "23244228"}, {"ref": "eudmar/starfish-project-data-exploration", "kernel_id": "23542377"}, {"ref": "sourabhthakur/help-protect-the-great-reef-model-building", "kernel_id": "23713549"}, {"ref": "sourabhthakur/faster-rcnn-great-barrier-reef", "kernel_id": "23799599"}, {"ref": "sourabhthakur/great-reef-faster-rcnn-pytorch", "kernel_id": "23903952"}, {"ref": "mrinath/efficientdet-train-pytorch", "kernel_id": "23840203"}, {"ref": "sahilchachra/barrier-reef-centernet2-detectron2-training", "kernel_id": "23923612"}, {"ref": "hiraiitsuki/great-barrier-reef-yolov5", "kernel_id": "23666122"}, {"ref": "never842659/twchang", "kernel_id": "23984262"}, {"ref": "bindalshubham/eda-metadata-great-barrier-reef", "kernel_id": "23453867"}, {"ref": "andradaolteanu/greatbarrierreef-yolo-full-guide-train-infer", "kernel_id": "23643835"}, {"ref": "riadalmadani/icevision-with-fast-ai", "kernel_id": "23736644"}, {"ref": "dinowun/yolov5-simplified-great-barrier-reef-train", "kernel_id": "23108042"}, {"ref": "adnanpen/yolov1-from-scratch-for-cots", "kernel_id": "23386534"}, {"ref": "adnanpen/yolo-x-training-using-icevision", "kernel_id": "23440599"}, {"ref": "sentrankim/yolov5-yolox-ensemble-tracking", "kernel_id": "23744675"}, {"ref": "sentrankim/fast-augmentation-by-albumentation-multi-process", "kernel_id": "23553128"}, {"ref": "sentrankim/only-yolov5-tracking-lb-60", "kernel_id": "23026409"}, {"ref": "rukonuddin/data-processing", "kernel_id": "23447152"}, {"ref": "vincentwang25/11th-place-solution-100-iterations-journey", "kernel_id": "23626946"}, {"ref": "lukaszborecki/fin-nemo-yolo5-infer-594f71", "kernel_id": "23519612"}, {"ref": "aleksandrkruchinin/tensorboard-events-to-matplotlib", "kernel_id": "23020061"}, {"ref": "gaurav3435/plotting-annotation-over-frame", "kernel_id": "23737149"}, {"ref": "gaurav3435/creating-gif-of-video-frames", "kernel_id": "23436042"}, {"ref": "ejunichi/yolox-full-training-pipeline-for-cots-dataset", "kernel_id": "23740797"}, {"ref": "myintzu/cots-yolov5-infer", "kernel_id": "23839186"}, {"ref": "myintzu/cots-yolov5-stratifiedkfold-5fold", "kernel_id": "23740847"}, {"ref": "ferlockx/f2-cv-0-77-subseq-split-and-higher-res", "kernel_id": "23906357"}, {"ref": "scr0ll0/great-barrier-reef-yolox", "kernel_id": "23615243"}, {"ref": "scr0ll0/great-barrier-reef-fasterrcnn-k-folding", "kernel_id": "23576423"}, {"ref": "pedroprez/barrier-reef-with-detectron2-new-data", "kernel_id": "23931457"}, {"ref": "pedroprez/barrier-reef-with-detectron2-inference", "kernel_id": "23599058"}, {"ref": "remekkinas/yolor-p6-w6-one-more-yolo-on-kaggle-infer", "kernel_id": "23619725"}, {"ref": "remekkinas/cots-y5-wbf", "kernel_id": "23480433"}, {"ref": "remekkinas/yolor-p6-w6-one-more-yolo-on-kaggle-train", "kernel_id": "23373321"}, {"ref": "owaiskhan9654/great-barrier-yolo-x-training-modified", "kernel_id": "23453040"}, {"ref": "owaiskhan9654/great-barrier-reef-yolox-yolov5-ensemble", "kernel_id": "23443584"}, {"ref": "owaiskhan9654/detectron-2-for-great-barrier-reef-part-1-train", "kernel_id": "23991813"}, {"ref": "hkrsmk/inference-yolov5-hkrsmk", "kernel_id": "23558852"}, {"ref": "prakashjyy/video-understanding-01", "kernel_id": "23864165"}, {"ref": "prakashjyy/fasterrcnn-pytorch-lightning", "kernel_id": "23967198"}, {"ref": "bibhabasumohapatra/my-first-object-detection-at-kaggle", "kernel_id": "23868866"}, {"ref": "ihorin/great-barrier-reef-yolov5-train", "kernel_id": "23700898"}, {"ref": "virajkadam/protect-great-barrier-reef-eda-and-yolo-training", "kernel_id": "23615627"}, {"ref": "kevin1742064161/yolov5-is-all-you-need", "kernel_id": "23874136"}, {"ref": "kevin1742064161/lb-0-579-yolov5-higher-resolution-f2score", "kernel_id": "23629601"}, {"ref": "kyawlin/cots-tensorflow-fasterrcnn-with-skfold", "kernel_id": "23877733"}, {"ref": "cowfrica/detect-crown-of-thorns-starfish-infer-temp", "kernel_id": "23089391"}, {"ref": "jannikkalkmann/barrierreefprotection-eda", "kernel_id": "23907013"}, {"ref": "hyunmingu/evaluate-f2-score-for-yolov5-model", "kernel_id": "23598270"}, {"ref": "elephantoid/reef-starter-torch-fasterrcnn-train", "kernel_id": "23667688"}, {"ref": "pypiahmad/great-barrier-reef-yolox-yolov5-ensemble", "kernel_id": "23590224"}, {"ref": "yousseftaoudi/training-yolov5-on-competition-data-p2-inference", "kernel_id": "23721308"}, {"ref": "chaelin0722/u-shape-underwater-image-enhancement-pytorch", "kernel_id": "23891060"}, {"ref": "cauchyfood/tensorflow-great-barrier-reef", "kernel_id": "23986558"}, {"ref": "csarolivares/great-barrier-yolox-l-training-lb-0-49", "kernel_id": "23202740"}, {"ref": "nyanswanaung/yolox-training-with-5-folds-best-ap-25-34-v5", "kernel_id": "23580394"}, {"ref": "nyanswanaung/cots-coco-groupk-5-folds-4919-imgs", "kernel_id": "23127025"}, {"ref": "nyanswanaung/cots-coco-stratifiedk-5-folds-4919-imgs", "kernel_id": "23719569"}, {"ref": "thomashopkins32/faster-r-cnn-from-scratch-in-pytorch-in-progress", "kernel_id": "23646047"}, {"ref": "slavkoprytula/retinex-image-enhancement", "kernel_id": "23585587"}, {"ref": "eaintlayhmone/cots-tensorflow-dataset-5fold", "kernel_id": "23589405"}, {"ref": "eaintlayhmone/cots-tfrecord-5fold-stratifiedkfold", "kernel_id": "23924374"}, {"ref": "kocha1/a-higher-resolution-is-all-you-need", "kernel_id": "23858724"}, {"ref": "zwehtetpaing123/yolov5-great-barrier-reef-training", "kernel_id": "23593170"}, {"ref": "songbae/yolox", "kernel_id": "23625762"}, {"ref": "macxiao/higher-resolution-and-confidence", "kernel_id": "23935153"}, {"ref": "jameshulk/my-awesome-kernel", "kernel_id": "23457841"}, {"ref": "jameshulk/gbr-submmision", "kernel_id": "23457970"}, {"ref": "jameshulk/gbr-new", "kernel_id": "23542215"}, {"ref": "jameshulk/gbr-submission", "kernel_id": "23542683"}, {"ref": "areeshaary/introduction-to-object-detection-tensorflow", "kernel_id": "23741415"}, {"ref": "laminkoko/json-detectron2", "kernel_id": "23116257"}, {"ref": "vexxingbanana/cocovid-format-cots-reef-comp", "kernel_id": "23460586"}, {"ref": "bartmaciszewski/more-annotations", "kernel_id": "23578647"}, {"ref": "toshikiharaguchi/cots-starter-notebook", "kernel_id": "23936765"}, {"ref": "sayanbiswas023/starfish", "kernel_id": "23941869"}, {"ref": "ethanhu8093/yolox-inference-tracking-on-cots", "kernel_id": "23114962"}, {"ref": "ethanhu8093/eda-help-the-great-barrier-reef", "kernel_id": "23431236"}, {"ref": "sjyangkevin/great-barrier-reef-yolov5-infer", "kernel_id": "23414548"}, {"ref": "sjyangkevin/tf-cots-yolov5-training-pipeline", "kernel_id": "23001185"}, {"ref": "lucaordronneau/image-tilling-for-small-object-detection", "kernel_id": "23742330"}, {"ref": "rishengyang/yolox-training-with-5-folds-best-ap-23-33", "kernel_id": "23934992"}, {"ref": "parikshitsharma2001/yolov5-is-all-you-need", "kernel_id": "23901120"}, {"ref": "wuhaowang/infer-help-protect", "kernel_id": "23590596"}, {"ref": "shangkl/great-barrier-yolox-l-training-lb-0-49", "kernel_id": "23577057"}, {"ref": "heheehahaa/detect-crown-of-thorns-starfish-train", "kernel_id": "23399288"}, {"ref": "alexchwong/cots-data-prep-fold4", "kernel_id": "23189687"}, {"ref": "alexchwong/yolov5-is-all-you-need-make-compact-videos", "kernel_id": "23954797"}, {"ref": "karkisa/alpha-n1", "kernel_id": "23867269"}, {"ref": "viniciocastillo/generate-videos-from-cots-dataset-frames", "kernel_id": "23544568"}, {"ref": "bavesh123/yolov5-is-all-you-need", "kernel_id": "23933607"}, {"ref": "snujslee/snujslee-great-barrier-reef", "kernel_id": "23742565"}, {"ref": "eshaandeshpande/cots-detection-with-yolov4-darknet", "kernel_id": "23533364"}, {"ref": "eshaandeshpande/darknettrain", "kernel_id": "23482302"}, {"ref": "dylanbowald/reef-annotation-visualization", "kernel_id": "23642579"}, {"ref": "christy017/yolov5-train", "kernel_id": "23917469"}, {"ref": "quybaohoang/detect-crown-of-thorns-starfish-yolov5-training", "kernel_id": "23925128"}, {"ref": "zengkuikui/help-protect-the-great-barrier-reef", "kernel_id": "23963461"}, {"ref": "hengck23/augmentation-using-image-blending", "kernel_id": "24058996"}, {"ref": "nicksergievskiy/cots-ens-yolov5-submission-scoring-error", "kernel_id": "24398617"}, {"ref": "markpeng/yolov5m6-f10-v8-2560-wbf-ensemble", "kernel_id": "24459540"}, {"ref": "max237/getting-started-with-yolox-inference-only", "kernel_id": "24396625"}, {"ref": "max237/getting-started-with-yolox-training-and-inference", "kernel_id": "24348616"}, {"ref": "marcinstasko/gan-training-make-unlimited-cots", "kernel_id": "24312331"}, {"ref": "marcinstasko/unlimited-cots-generator-pytorch-gan-in-action", "kernel_id": "24284629"}, {"ref": "marcinstasko/cots-neuralstyle-transfer-pytorch-augumentation", "kernel_id": "24257768"}, {"ref": "haqishen/f2-evaluation", "kernel_id": "24722584"}, {"ref": "parapapapam/2xyolov5l6-tracking-lb-0-678-private-0-722", "kernel_id": "24486390"}, {"ref": "tiandaye/size-is-all-you-need-exp10", "kernel_id": "24086361"}, {"ref": "tiandaye/size-is-all-you-need-exp11", "kernel_id": "24113518"}, {"ref": "tiandaye/sahi-yolov5-fold0", "kernel_id": "24216865"}, {"ref": "snaker/yolo-ensemle", "kernel_id": "24313795"}, {"ref": "ging21/yolov5", "kernel_id": "24167564"}, {"ref": "blankaf/gbr-yolov5-album-train", "kernel_id": "24273072"}, {"ref": "outrunner/centernet-s", "kernel_id": "24840337"}, {"ref": "atamazian/tensorflow-object-detection-make-compact-videos", "kernel_id": "24283959"}, {"ref": "atamazian/tf1-lstm-object-detection-training-debug", "kernel_id": "24441375"}, {"ref": "a2015003713/cots-ensemble", "kernel_id": "24185345"}, {"ref": "luhuihu/tf-moving-object-detection", "kernel_id": "24838755"}, {"ref": "nyleve/silver-public-model-goodmoon-tracking-aug-true", "kernel_id": "24751252"}, {"ref": "justforgags/yolov5-trackviz-folding", "kernel_id": "24348687"}, {"ref": "yamsam/scene-change-detection-using-optical-flow-by-raft", "kernel_id": "24611673"}, {"ref": "tattaka/yolox-inference-tta", "kernel_id": "24505297"}, {"ref": "dwchen/final-yolov5tracking-2stage", "kernel_id": "24674483"}, {"ref": "dwchen/tph-yolos6-is-all-you-need", "kernel_id": "24248342"}, {"ref": "arunamenon/detect-crown-of-thorns-starfish-eda-modelling", "kernel_id": "24199887"}, {"ref": "jaideepvalani/eda-model-cv-check-rohit", "kernel_id": "24065871"}, {"ref": "alexteboul/cropped-crown-of-thorns-dataset-builder", "kernel_id": "24323429"}, {"ref": "natthasit/great-barrier-reef-yolov5-infer", "kernel_id": "24118492"}, {"ref": "tomp1121/yolov5-evaluate-f2-and-select-best-conf", "kernel_id": "24020961"}, {"ref": "haozhang607/tensorflow-help-protect-the-great-barrier-reef", "kernel_id": "24346733"}, {"ref": "mrinath/effdet-infer-pytorch", "kernel_id": "24046685"}, {"ref": "palash97/gbr-fasterrcnn-pytorch-inference", "kernel_id": "24259088"}, {"ref": "palash97/gbr-fasterrcnn-pytorch-training", "kernel_id": "24184457"}, {"ref": "gfugante/help-protect-the-great-barrier-reef-training", "kernel_id": "24053379"}, {"ref": "gfugante/help-protect-the-great-barrier-reef-inference", "kernel_id": "24148797"}, {"ref": "wonjunpark/yolor-local-training", "kernel_id": "24142880"}, {"ref": "wonjunpark/yolox-local-training", "kernel_id": "24142978"}, {"ref": "mattkint/wicse-project-ipynb", "kernel_id": "24628356"}, {"ref": "syurenuko/yolov5x-24-ensemble", "kernel_id": "24587227"}, {"ref": "ashusma/yolov5-in-tensorflow-gpu", "kernel_id": "24696201"}, {"ref": "mahipalsingh/gbr-yolox-yolov5-ensemble-2-o", "kernel_id": "24126840"}, {"ref": "tanakar/yolox-mmdet-no-filter-empty-half", "kernel_id": "24583589"}, {"ref": "bryanhengardi/sutd-cv-yolov5-inference", "kernel_id": "24865079"}, {"ref": "adnanpen/yolov5-is-all-you-need", "kernel_id": "24535712"}, {"ref": "chetan06/pytorch-retinanet-barrier-reef-5epoch-train", "kernel_id": "24143332"}, {"ref": "deeeeeeeplearning/fork-of-a-higher-resolution-is-all-you-need-f18d4a", "kernel_id": "24100906"}, {"ref": "kwondalhyeon/starfish-detection-w-tf-object-detection-api", "kernel_id": "24692957"}, {"ref": "drzhuzhe/slices-submit", "kernel_id": "24173445"}, {"ref": "tripl3j/submission-yolo", "kernel_id": "24023126"}, {"ref": "myintzu/lb-0-674-leonv5-sahi-tracking", "kernel_id": "24637399"}, {"ref": "dragonzhang/ensembling-boxes-nms-soft-nms-nmw-wbf-yolov5", "kernel_id": "24491555"}, {"ref": "simonedegasperis/eda-tensorflow-object-detection-api-train", "kernel_id": "24398205"}, {"ref": "deepalimish/great-barrier-reef-detection-rcnn-training", "kernel_id": "24981480"}, {"ref": "remekkinas/sahi-slicing-aided-hyper-inference-yv5-and-yx", "kernel_id": "24090076"}, {"ref": "timxinxinpeng/flexible-yolo-with-attention-mechnism", "kernel_id": "24424911"}, {"ref": "tatamikenn/infer-l-640-5x3-heavyx2-wbf-fold-5-9", "kernel_id": "24689893"}, {"ref": "tatamikenn/example-code-of-seq-nms", "kernel_id": "24721309"}, {"ref": "sumedhaswayansidha/reading-gbr-images", "kernel_id": "24246306"}, {"ref": "quintonsmith/tgbr-video-writing-frames", "kernel_id": "24092557"}, {"ref": "captainabhijeeth/cots-tensorflow-fasterrcnn", "kernel_id": "24026529"}, {"ref": "captainabhijeeth/cots-submission", "kernel_id": "24267595"}, {"ref": "jirkaborovec/starfish-detect-baseline-flash-efficientdet", "kernel_id": "24629971"}, {"ref": "shubhamsindal0098/yolov5-great-barrier-reef", "kernel_id": "24438715"}, {"ref": "dqhdqmcttdqx/cots-ensembles-yolov5-tta-wbf-tracking-infer", "kernel_id": "24601800"}, {"ref": "ihorin/great-barrier-reef-yolov5-train-only", "kernel_id": "24429076"}, {"ref": "ihorin/great-barrier-reef-prepare-data", "kernel_id": "24263186"}, {"ref": "henriqueabpassos/cots-train-the-first-fast-network", "kernel_id": "24134606"}, {"ref": "kyawlin/cots-torch-fasterrcnn-infer", "kernel_id": "24015600"}, {"ref": "kyawlin/yolov5-yolox-ensemble-with-tracking", "kernel_id": "24245167"}, {"ref": "nataliayurasova/reef-yolov5-ensemble-tracking", "kernel_id": "24410192"}, {"ref": "skloveyyp/ensembling-boxes-nms-soft-nms-nmw-wbf-yolov5", "kernel_id": "24491963"}, {"ref": "elindbergs/solution-tensorflow-great-barrier-reef", "kernel_id": "24679154"}, {"ref": "outwrest/augmentation-using-image-blending-cot-masks", "kernel_id": "24320568"}, {"ref": "puspakmeher/exploring-dataset-using-fiftyone", "kernel_id": "24443715"}, {"ref": "yousseftaoudi/training-yolov5-on-competition-data-tutorial", "kernel_id": "24700942"}, {"ref": "ammarnassanalhajali/ensembling-boxes-nms-soft-nms-nmw-wbf-yolov5", "kernel_id": "24015214"}, {"ref": "calvchen/reef-v4-1-pb-0-650", "kernel_id": "24282118"}, {"ref": "thomasdubail/global-tracking-method-homography", "kernel_id": "24689638"}, {"ref": "jeanbenoitferry/starfishes-model", "kernel_id": "24134752"}, {"ref": "naturezhang/yolov5-detections-tracking-on-cot", "kernel_id": "24155893"}, {"ref": "locbaop/systematic-evaluate-f2-yolov5", "kernel_id": "24075274"}, {"ref": "slavkoprytula/stage-2-yolov5-ensemble-nfnet-ecanet", "kernel_id": "24491895"}, {"ref": "eaintlayhmone/augmentation-with-albumentation", "kernel_id": "24410278"}, {"ref": "eaintlayhmone/efficientdet-pytorch-inference", "kernel_id": "24069232"}, {"ref": "kocha1/only-yolov5-tracking-lb-642", "kernel_id": "24149906"}, {"ref": "dominikstrzalko/rhea-team-yolov5-trening", "kernel_id": "24513378"}, {"ref": "dominikstrzalko/rhea-team-yolov5-infer", "kernel_id": "24544318"}, {"ref": "tomaszgrzybowski/projekt", "kernel_id": "24748044"}, {"ref": "deino37/interactive-image-augmentation-visualization", "kernel_id": "24166971"}, {"ref": "annadnowak/great-barrier-reef", "kernel_id": "24122659"}, {"ref": "annadnowak/rhea-team-yolov5-trening-b2e7f1", "kernel_id": "24654239"}, {"ref": "ohhailnaw/great-barrier-reef-yolov5", "kernel_id": "24130010"}, {"ref": "olfertkonstantin/tensorflow-detection-starfish", "kernel_id": "24443544"}, {"ref": "vexxingbanana/yolov5-seq-nms-priv-lb-0-657", "kernel_id": "24572406"}, {"ref": "jillanisofttech/great-barrier-reef-yolov5", "kernel_id": "24128814"}, {"ref": "orlandoooo/ensembling-boxes-wbfwbf-conf-0-03-yolov5", "kernel_id": "24750817"}, {"ref": "warutroengwetsawat/my-great-barrier-infer", "kernel_id": "24324323"}, {"ref": "warutroengwetsawat/my-great-barrier-train", "kernel_id": "24142014"}, {"ref": "derrick01/fork-of-pokeman-master", "kernel_id": "24154834"}, {"ref": "derrick01/yolox-full-training-pipeline-for-cots-dataset", "kernel_id": "24124387"}, {"ref": "esratmaria/cots-detection-eda-random-image", "kernel_id": "24201112"}, {"ref": "elinatrier/yolox-full-training-pipeline-for-cots-dataset", "kernel_id": "24283517"}, {"ref": "yangranran/lb0-677-shortcut-to-the-sahi-yolov5", "kernel_id": "24541014"}, {"ref": "aiizloli/cascadercnn-restnet-using-mmdetection-training", "kernel_id": "24449871"}, {"ref": "alexchwong/scaledyolov4-for-cots-inference", "kernel_id": "24815495"}, {"ref": "alexchwong/scaledyolov4-for-cots-training", "kernel_id": "24814430"}, {"ref": "alexchwong/cots-albumentations-gallery", "kernel_id": "24039229"}, {"ref": "alexchwong/stop-guessing-conf-systematically-evaluate-f2", "kernel_id": "24007142"}, {"ref": "alexchwong/yolov5-training-with-albumentations", "kernel_id": "24250020"}, {"ref": "alexchwong/evaluate-f2-for-yolox-and-norfair-tracking", "kernel_id": "24374835"}, {"ref": "alexchwong/evaluate-f2-for-yolov5-and-norfair-tracking", "kernel_id": "24372324"}, {"ref": "karkisa/n2-alpha2", "kernel_id": "24136423"}, {"ref": "ismaelalpaso/train-tfhelpprotect-thegbr", "kernel_id": "24344499"}, {"ref": "ismaelalpaso/inference-tfhelpprotect-thegbr", "kernel_id": "24375519"}, {"ref": "handudu/6866686", "kernel_id": "24637897"}, {"ref": "dinghuixiang/faster-rcnn-mmdetection-infere-lb-0-359", "kernel_id": "24021710"}, {"ref": "njayadithya/cots-darknet-yolov4-submission", "kernel_id": "24286028"}, {"ref": "njayadithya/cots-yolov4-train", "kernel_id": "24173647"}, {"ref": "bavesh123/yolov5-yolox-ensemble-with-tracking", "kernel_id": "24661878"}, {"ref": "fxalll/private-lb-0-681-yolov5-augment-in-f2-sub", "kernel_id": "24689957"}, {"ref": "cembakkaloglu/tak-l-yoruz", "kernel_id": "24117212"}, {"ref": "dylanbowald/barrier-reef-annotation-visualization", "kernel_id": "24247811"}, {"ref": "freshair1996/leon-v5-infer-2-0", "kernel_id": "24409912"}, {"ref": "alexandreinoue/notebook-time-de-ai", "kernel_id": "24388407"}, {"ref": "yuhanmiao/great-barrier-reef-yolov5-train", "kernel_id": "24036994"}, {"ref": "jialuuuuuu/yolov5", "kernel_id": "24002537"}, {"ref": "qinyudongfang/star-fish", "kernel_id": "24667453"}, {"ref": "peterkward/ai4ntd-kk2-0-p1-5-sth-schm", "kernel_id": "24538685"}, {"ref": "mltbopen/great-barrier-reef-yolov4", "kernel_id": "24775990"}, {"ref": "mltbopen/great-barrier-reef-exploration", "kernel_id": "24747346"}, {"ref": "parthsalunke45/cs2-tensorflow-object-detection-api-iou0-5", "kernel_id": "24432971"}, {"ref": "parthsalunke45/help-protect-the-great-barrier-reef-eda", "kernel_id": "24565765"}, {"ref": "shinya7y/great-barrier-reef-cascade-r-cnn-private-0-694", "kernel_id": "24805595"}, {"ref": "botkop/great-barrier-reef-yolov5-train", "kernel_id": "25379974"}, {"ref": "jowalski/great-barrier-reef-yolov5-train", "kernel_id": "25645953"}, {"ref": "mkabhisek/star-fish-object-det", "kernel_id": "25804817"}, {"ref": "vivekreddybeeram/yolo-major-project", "kernel_id": "25487541"}, {"ref": "rishengyang/great-barrier-reef-cascade-r-cnn-private-0-697", "kernel_id": "25252040"}, {"ref": "nivetharaja/tech-saksham-project", "kernel_id": "25751252"}, {"ref": "maddiabhisek/star-fish-object-det", "kernel_id": "25825334"}, {"ref": "maddiabhisek/star-fish-eda", "kernel_id": "25825565"}, {"ref": "sazzyboy98/sutd-cv-g1-2022-faster-rcnn-inference", "kernel_id": "26236913"}, {"ref": "sazzyboy98/sutd-cv-g1-2022-faster-rcnn-split", "kernel_id": "26355848"}, {"ref": "sazzyboy98/sutd-cv-g1-2022-faster-rcnn-train", "kernel_id": "26360911"}, {"ref": "bryanhengardi/sutd-cv-yolov5-training", "kernel_id": "26356432"}, {"ref": "suichongmingshi/training-dssd-ptgbr", "kernel_id": "26220635"}, {"ref": "ryutafujimoto/abeja", "kernel_id": "26152630"}, {"ref": "w3579628328/td-data2coco", "kernel_id": "26168857"}, {"ref": "lightningrai/reef-starter-torch-fasterrcnn-train-lb-0-416", "kernel_id": "26005960"}, {"ref": "akashsharma2022/underwater-image-enhancement", "kernel_id": "26820643"}, {"ref": "yangao888/yolox-full-training-pipeline-for-cots-dataset", "kernel_id": "27395513"}, {"ref": "yangao888/yolox-inference-on-kaggle-for-cots-lb-0-483", "kernel_id": "27411964"}, {"ref": "sonali2627/great-barrier-reef-cascade-r-cnn-private-257965", "kernel_id": "28596745"}, {"ref": "iamprateek/cots-yolov7-inference", "kernel_id": "29237352"}, {"ref": "iamprateek/cots-yolov7-training", "kernel_id": "29193686"}, {"ref": "jaideepvalani/barrier-reef-yolov6-subseq-area", "kernel_id": "30213841"}, {"ref": "s0wn12/ensembling-boxes-yolox-yolov5-yolov7", "kernel_id": "30516538"}, {"ref": "lh443487999/greatbarrierreef-yolo-full-guide-train-infer", "kernel_id": "32182369"}, {"ref": "ycjoel/yolox-full-training-pipeline-for-cots-dataset", "kernel_id": "32579867"}, {"ref": "cccccxy/notebook632443c5a5", "kernel_id": "32184576"}, {"ref": "howardf/faster-rcnn-model", "kernel_id": "32338740"}, {"ref": "geyiming/faster-rcnn-new-model", "kernel_id": "32355049"}, {"ref": "geyiming/faster-rcnn-model", "kernel_id": "32284931"}, {"ref": "geyiming/fast-rcnn", "kernel_id": "32149258"}, {"ref": "geyiming/faster-rcnn", "kernel_id": "32151258"}, {"ref": "leorallure/notebookc2157fed63", "kernel_id": "32430309"}, {"ref": "ycollin/comp9517-cots-yolov5", "kernel_id": "32020811"}, {"ref": "peterhg/reef-starter-torch-fasterrcnn-train-lb-0-416", "kernel_id": "32305458"}, {"ref": "kartiksihotiya/minor-abhijeet", "kernel_id": "32755789"}, {"ref": "hmthanh/21c11029-xlavnc-lab02", "kernel_id": "33324548"}, {"ref": "yueqhu/mmdetection-swin-transfomer-frcnn-inference-0-443", "kernel_id": "33398601"}, {"ref": "sjtukevinchen/version1", "kernel_id": "38963192"}, {"ref": "sjtukevinchen/vvvvvvv", "kernel_id": "38981964"}, {"ref": "jaideepvalani/yolox-full-training-pipeline-with-albumentation", "kernel_id": "40726125"}, {"ref": "shichaofeng/yolo-ensemle6", "kernel_id": "40416991"}, {"ref": "martnborbalpez/detectron2-faster-r-cnn", "kernel_id": "40136876"}, {"ref": "jasmindc/great-barrier-reef-object-detection", "kernel_id": "41472147"}, {"ref": "anandvijaykumar/great-barrier-reef-using-yolov8", "kernel_id": "42430627"}, {"ref": "lunaticsain/starfish-object-detection-yolov5", "kernel_id": "42681572"}, {"ref": "sarvagyaporwal/coralreef-eda-yolov5", "kernel_id": "43465905"}, {"ref": "akibhussain/image-augmentation", "kernel_id": "45821018"}, {"ref": "dheerajgupta5680/great-barrier-reef-yolov8", "kernel_id": "45146837"}, {"ref": "nishanthkotla/undersea-pandas", "kernel_id": "45803242"}, {"ref": "zhenhoblngjia/yolox-full-training-pipeline-for-cots-dataset", "kernel_id": "46249576"}, {"ref": "likithsh/learning-to-sea-underwater-img-enhancement-eda", "kernel_id": "48128153"}, {"ref": "pattanaikpritam/coralreef-eda-yolov5", "kernel_id": "48564875"}, {"ref": "alexondedr/yolox-full-training-pipeline-for-cots-dataset", "kernel_id": "48334777"}, {"ref": "kishorekumarkalathur/yolox-full-training-pipeline-for-cots-dataset", "kernel_id": "49133673"}, {"ref": "aneesahamedbaig/project", "kernel_id": "50872020"}, {"ref": "vinaynathtiwary/underwater-image-processing", "kernel_id": "52850837"}, {"ref": "janvigupta100302/janvviiiolov5", "kernel_id": "53544665"}, {"ref": "mohamedadlyi/signature-detection-yolov5-train", "kernel_id": "54627435"}, {"ref": "merihandaniel/yolov5-modelrun-analysis", "kernel_id": "58897663"}, {"ref": "jessicawoods38/yolov5-implementation-and-optimization", "kernel_id": "59122516"}, {"ref": "tomandjerry2005/yolov10-test", "kernel_id": "66861828"}, {"ref": "vikasdimaniya/yolo-8", "kernel_id": "69271885"}, {"ref": "pradeep10rp/notebookd25837274e", "kernel_id": "69574491"}, {"ref": "phannguynhuphong/training-yolor", "kernel_id": "70811572"}, {"ref": "revanth05/tf-2-6-0", "kernel_id": "76456690"}, {"ref": "sarahnoorani/detection-using-keras-retinanet-zar", "kernel_id": "77638414"}, {"ref": "rabieouerghicabiste/mmdetection-swin-transformer-fasterrcnn-training", "kernel_id": "78192645"}, {"ref": "adii17/mv-funiegan", "kernel_id": "80999755"}, {"ref": "nat090/swin-detr", "kernel_id": "98265116"}, {"ref": "yelijah/image-augmentation", "kernel_id": "98309202"}, {"ref": "nguyenthanhdat19028/swin-detr", "kernel_id": "101452121"}, {"ref": "jennifercsun/crown-of-thorns-starfish-image-classification", "kernel_id": "102441419"}, {"ref": "sherifmohsenhamed/notebook4d0e533400", "kernel_id": "121102879"}, {"ref": "yasminbano/cots-detection", "kernel_id": "122739186"}, {"ref": "ryuminhyuk/cots-fasterrcnn", "kernel_id": "126142428"}, {"ref": "anahitmkrtumyan/train-final-model", "kernel_id": "131527761"}]}
{"competition_id": "31707", "kernels": []}
{"competition_id": "31710", "kernels": [{"ref": "bhargavnaik/notebooka0c445a275", "kernel_id": "21332156"}]}
{"competition_id": "31736", "kernels": []}
{"competition_id": "31738", "kernels": []}
{"competition_id": "31745", "kernels": []}
{"competition_id": "31749", "kernels": []}
{"competition_id": "31752", "kernels": []}
{"competition_id": "31755", "kernels": [{"ref": "virusmadison/recomend-systems-retail", "kernel_id": "21554904"}]}
{"competition_id": "31756", "kernels": [{"ref": "rithik57/ucl-ai-society-football-match-prediction", "kernel_id": "25348987"}, {"ref": "shubhamgoel21699/ds-eval1-football-match-prediction", "kernel_id": "25346913"}]}
{"competition_id": "31767", "kernels": [{"ref": "sonypermana/repos-owner-repo-hooks-hook-id", "kernel_id": "67297730"}]}
{"competition_id": "31773", "kernels": []}
{"competition_id": "31779", "kernels": [{"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "roeilevy/feedback-prize-bio-format-for-ner", "kernel_id": "22900591"}, {"ref": "brassmonkey381/feedback-prize-2021-roberta-ner-segment-training", "kernel_id": "22833166"}, {"ref": "vabatista/feedback-prize-yet-another-eda-stats-and-nlp", "kernel_id": "22815957"}, {"ref": "robikscube/student-writing-competition-twitch-stream", "kernel_id": "22806039"}, {"ref": "totalgood/pytorch-longformer-ner", "kernel_id": "22892940"}, {"ref": "kailassrt/basic-eda-classification-basemodel", "kernel_id": "22861621"}, {"ref": "raghavendrakotala/pre-processed-data-for-ner-modeling", "kernel_id": "22989562"}, {"ref": "raghavendrakotala/fine-tunned-on-roberta-base-as-ner-problem-0-533", "kernel_id": "22880160"}, {"ref": "ilialar/feedback-prize-simple-eda", "kernel_id": "22801432"}, {"ref": "rnepal2/a-baseline-solution", "kernel_id": "22831352"}, {"ref": "coldfir3/logistic-regression-baseline-based-on-stats-only", "kernel_id": "22824833"}, {"ref": "coldfir3/eda-w-outlier-exploration-naive-baseline", "kernel_id": "22817961"}, {"ref": "sujataroy/beginner-eda-evaluating-student-writing", "kernel_id": "22801375"}, {"ref": "julian3833/feedback-baseline-sentence-classifier-0-226", "kernel_id": "22801316"}, {"ref": "neosoonhua/1-naive-bayes-with-stemmer", "kernel_id": "22858978"}, {"ref": "neosoonhua/2-2-train-roberta-model-and-save", "kernel_id": "22951302"}, {"ref": "neosoonhua/2-2-load-roberta-model-and-predict", "kernel_id": "22952275"}, {"ref": "thedrcat/feedback-prize-eda-with-displacy", "kernel_id": "22802055"}, {"ref": "thedrcat/feedback-prize-label-inconsistencies", "kernel_id": "22898309"}, {"ref": "docxian/feedback-price-2021-first-glance", "kernel_id": "22801301"}, {"ref": "prohor/check-for-intersecting-entities", "kernel_id": "22825750"}, {"ref": "erikbruin/nlp-on-student-writing-eda", "kernel_id": "22883777"}, {"ref": "karthikbhandary2/feedback", "kernel_id": "22939508"}, {"ref": "revathiprakash/feedback-prize-baseline-ner-pytorch-inference", "kernel_id": "22832160"}, {"ref": "revathiprakash/feedback-prize-baseline-ner-pytorch-train", "kernel_id": "22917353"}, {"ref": "vladlee/evaluatingwriting-eda", "kernel_id": "22803974"}, {"ref": "venomsnake/analyzing-student-essays-in-depth-eda", "kernel_id": "22903788"}, {"ref": "cdeotte/tensorflow-longformer-ner-cv-0-633", "kernel_id": "22869901"}, {"ref": "vanle73/data-analysis-is-all-you-need-firstly", "kernel_id": "22865305"}, {"ref": "zzy990106/pytorch-ner-infer", "kernel_id": "22831763"}, {"ref": "au1206/feedback-prize-the-first-glance-eda", "kernel_id": "22809890"}, {"ref": "xhlulu/ner-tagging-demo", "kernel_id": "22999721"}, {"ref": "bacicnikola/sequence-bucketing-pytorch-implementation", "kernel_id": "22995406"}, {"ref": "mpwolke/argumentative-writing-hit-em-with-your-best-shot", "kernel_id": "22802255"}, {"ref": "mpwolke/nasa-txt-file", "kernel_id": "22995258"}, {"ref": "serquet/eda-feedback-prize", "kernel_id": "22811027"}, {"ref": "nitishmalagi/studying-discourses-in-essays", "kernel_id": "22803348"}, {"ref": "pavan9065/feedback-prize-eda-and-modeling", "kernel_id": "22840396"}, {"ref": "nbroad/line-by-line-dataset", "kernel_id": "22829384"}, {"ref": "nbroad/feedback-prize-pre-training-pt-gpu", "kernel_id": "22828574"}, {"ref": "nbroad/iob-bio-format-for-ner-feedback-prize", "kernel_id": "22805757"}, {"ref": "nbroad/bigbird-ner-training-pt-gpu-feedback-prize", "kernel_id": "22806712"}, {"ref": "soumya9977/feedback-prize-eda-and-custom-text-highlight", "kernel_id": "22805352"}, {"ref": "saraswatitiwari/feedback-prize-evaluating-student-writing", "kernel_id": "22961669"}, {"ref": "katsuyanomura/eda-topic-of-essay", "kernel_id": "22804878"}, {"ref": "kalilurrahman/feedback-prize-eda-first", "kernel_id": "22836762"}, {"ref": "karthikeya14/eda-bert", "kernel_id": "22805028"}, {"ref": "travistyler/student-writing-eda-and-testing", "kernel_id": "22822821"}, {"ref": "lonnieqin/named-entity-recognition-with-transformer", "kernel_id": "22864910"}, {"ref": "lonnieqin/name-entity-recognition-with-keras", "kernel_id": "22805922"}, {"ref": "saiedalimoradi/baseline-ulmfit", "kernel_id": "22999034"}, {"ref": "patipanrattanawin/feedback-prize-part-infer", "kernel_id": "22908474"}, {"ref": "rahulbhimani/eda-and-prediction-for-feedback-competition", "kernel_id": "22887665"}, {"ref": "darknesszx/bert-large", "kernel_id": "22811300"}, {"ref": "shanmukh05/feedback-prize-eda", "kernel_id": "22808051"}, {"ref": "alikmondal/baseline-vis-analysis-feedback-competition-v1", "kernel_id": "22961925"}, {"ref": "dearsijie/writing-element-detection-eda", "kernel_id": "22916819"}, {"ref": "edwintyh/feedback-prize-eda-word-cloud", "kernel_id": "22820736"}, {"ref": "csarolivares/evaluating-student-writing-eda-data-cleaning", "kernel_id": "22996912"}, {"ref": "swaralipibose/highly-indetailed-eda-observing-relation-in-data", "kernel_id": "22819020"}, {"ref": "abhishekme19b069/eda-full-classification-pipeline-bert", "kernel_id": "22837964"}, {"ref": "mohamedbakrey/eda-for-feedback-prize-e-s-w-using-bi-lstm", "kernel_id": "22849624"}, {"ref": "odins0n/feedback-prize-eda", "kernel_id": "22801032"}, {"ref": "heyrobin/feedback-prize-eda-spacy-displacy", "kernel_id": "22869487"}, {"ref": "kishalmandal/pytorch-longformer-1024-train", "kernel_id": "22801439"}, {"ref": "kishalmandal/most-detailed-eda-tf-idf-viz", "kernel_id": "22811013"}, {"ref": "thariqnugrohotomo/anomalies-in-the-training-set", "kernel_id": "22840181"}, {"ref": "hjhgjghhg/feedback-prize-itpt", "kernel_id": "22855360"}, {"ref": "hjhgjghhg/feedback-prize-infer", "kernel_id": "22866434"}, {"ref": "hjhgjghhg/feedback-prize-train", "kernel_id": "22862494"}, {"ref": "rhythmcam/eda-feedback-prize-2021", "kernel_id": "22871490"}, {"ref": "rhythmcam/spacy-basic-display-render-usage-text-colorize", "kernel_id": "22882173"}, {"ref": "zhangchen123/lstm-model", "kernel_id": "22856388"}, {"ref": "goutamrathod2247/feedback-prize-eda", "kernel_id": "22843853"}, {"ref": "kaggleqrdl/v4expmt-tensorflow-longformer-ner-cv-0-634", "kernel_id": "22899068"}, {"ref": "nedspnt/feedback-prize-baseline-sbert-rf-nn", "kernel_id": "22840157"}, {"ref": "abhishek/creating-folds-properly-hopefully-p", "kernel_id": "23787691"}, {"ref": "abhishek/two-longformers-are-better-than-1", "kernel_id": "23803298"}, {"ref": "goldenlock/feedback-base", "kernel_id": "23128802"}, {"ref": "dingli/evaluating-student-writing-error-visualization", "kernel_id": "23588334"}, {"ref": "robindehde/pytorch-bigbird-ner-cv-0-615", "kernel_id": "23744128"}, {"ref": "dheerendrasingh/feedback-prize-dks", "kernel_id": "23745739"}, {"ref": "takoihiraokazu/longformer-large-4096-tokenizer", "kernel_id": "23845533"}, {"ref": "rumasinha/nlpanddataexploration", "kernel_id": "23089415"}, {"ref": "alekseykulnevich/lstm-model-fixed", "kernel_id": "23413604"}, {"ref": "totalgood/pytorch-longformer-ner-robust-nlp", "kernel_id": "23421534"}, {"ref": "totalgood/pytorch-longformer-1024-train", "kernel_id": "23781812"}, {"ref": "ksmshankar/evaluating-student-writing-roberta", "kernel_id": "23901148"}, {"ref": "seshurajup/feedback-predict-oof-for-two-longformers", "kernel_id": "23979278"}, {"ref": "raghavendrakotala/simple-fine-tune-on-bigbird-with-datasets-trainer", "kernel_id": "23017555"}, {"ref": "raghavendrakotala/using-correct-train-csv-longformer-dataset-trainer", "kernel_id": "23437134"}, {"ref": "narendra/feedback-prize-statistical-eda", "kernel_id": "23814003"}, {"ref": "narendra/longformer-baseline", "kernel_id": "23900791"}, {"ref": "narendra/longformer-baseline-submission", "kernel_id": "23956691"}, {"ref": "pranav2109/writing-feedback-detailed-analysis-pytorch", "kernel_id": "23613355"}, {"ref": "julian3833/pytorch-shortformer-w-chunks-train-0-624", "kernel_id": "23619362"}, {"ref": "julian3833/pytorch-shortformer-w-chunks-infer-0-624", "kernel_id": "23629000"}, {"ref": "shwetagargade/detailed-understanding-of-text-classification", "kernel_id": "23530813"}, {"ref": "neosoonhua/5trainyampeleg-s5-foldrobertamodifiedtolongformer", "kernel_id": "23233997"}, {"ref": "andypenrose/text-augmentation-with-nlpaug", "kernel_id": "23437483"}, {"ref": "thedrcat/feedback-prize-huggingface-baseline-training", "kernel_id": "23018623"}, {"ref": "thedrcat/feedback-prize-huggingface-baseline-inference", "kernel_id": "23041662"}, {"ref": "thedrcat/visual-tutorial-ner-chunking-token-classification", "kernel_id": "23394346"}, {"ref": "psyche14/longformer-mrc-for-feedback-prize", "kernel_id": "23556966"}, {"ref": "dschettler8845/exhaustive-learning-eda-survey-feedback-prize", "kernel_id": "23308053"}, {"ref": "ridhimagarg/evaluating-writing-analysis", "kernel_id": "23974508"}, {"ref": "maverix/colab-longformer-feedback-prize", "kernel_id": "23448224"}, {"ref": "cdeotte/pytorch-bigbird-ner-cv-0-615", "kernel_id": "23034912"}, {"ref": "cdeotte/rapids-umap-tfidf-kmeans-discovers-15-topics", "kernel_id": "23953519"}, {"ref": "nandhuelan/luke-hf-pipeline", "kernel_id": "23548385"}, {"ref": "aliasgherman/randomforest-only-gradientboostnow-0-25-lb", "kernel_id": "23052174"}, {"ref": "aliasgherman/simple-starter-code-distillibert-token-classific", "kernel_id": "23001419"}, {"ref": "aliasgherman/question-answer-approach-distilbert-1-epoch", "kernel_id": "23495638"}, {"ref": "aliasgherman/roberta-qna-model-maxlen-448-stride-192", "kernel_id": "23630699"}, {"ref": "arunamenon/feedback-prize-evaluating-student-writing", "kernel_id": "23912340"}, {"ref": "samu2505/eda-text", "kernel_id": "23654246"}, {"ref": "pdan93/feedback-data-exploration", "kernel_id": "23120920"}, {"ref": "samir95/expanding-sentences-window-logistic-regression", "kernel_id": "23552423"}, {"ref": "tianmin/visualization-of-essay-dataset", "kernel_id": "23700201"}, {"ref": "abdelamgeed/rnn-lstm", "kernel_id": "23589133"}, {"ref": "kenkrige/predictionstring-100-consistent", "kernel_id": "23412541"}, {"ref": "kenkrige/char-to-word-map", "kernel_id": "23389909"}, {"ref": "kenkrige/feedback-datasplit", "kernel_id": "23791717"}, {"ref": "kenkrige/submission-score", "kernel_id": "23798416"}, {"ref": "sdeagggg/pytorch-bigbird-ner-cv-0-633", "kernel_id": "23601673"}, {"ref": "yosukeyama/correct-misspellings", "kernel_id": "23886247"}, {"ref": "sychrislee/testing-calculated-predictionstring", "kernel_id": "23431327"}, {"ref": "bacicnikola/token-to-word-mapping-implementation", "kernel_id": "23018396"}, {"ref": "spidermandance/masking-feedback-prize", "kernel_id": "23666073"}, {"ref": "spidermandance/eda-feedback-prize", "kernel_id": "23435280"}, {"ref": "ycca1018/feedbackprize-startereda-jp-en", "kernel_id": "23012357"}, {"ref": "chasembowers/pytorch-bigbird-whitespace-cv-0-6284", "kernel_id": "23453060"}, {"ref": "chasembowers/sequence-postprocessing-v2-67-lb", "kernel_id": "23954824"}, {"ref": "nbroad/corrected-train-csv-feedback-prize", "kernel_id": "23001080"}, {"ref": "nbroad/8-bit-adam-optimization", "kernel_id": "23929332"}, {"ref": "dinowun/eda-simplified-feedback-prize", "kernel_id": "23842217"}, {"ref": "saraswatitiwari/tensorflow-feedback-prizes", "kernel_id": "23669236"}, {"ref": "saraswatitiwari/feedback-prizes-2021", "kernel_id": "23691024"}, {"ref": "saraswatitiwari/feedback-prize", "kernel_id": "23602555"}, {"ref": "saraswatitiwari/prizes-22", "kernel_id": "23626276"}, {"ref": "tensorchoko/feedback-prize-eda-train-jp-en", "kernel_id": "23289860"}, {"ref": "guanghan/feedback-infer", "kernel_id": "23435564"}, {"ref": "sytuannguyen/tensorflow-longformer-ner", "kernel_id": "23255810"}, {"ref": "ibrezmohd/feedback-price-eda-markov-transition-matrix", "kernel_id": "23117203"}, {"ref": "assign/someone-live-in-florida", "kernel_id": "23046692"}, {"ref": "ejunichi/feedback-prize-eda", "kernel_id": "23355330"}, {"ref": "ejunichi/tensorflow-longformer-ner-cv-0-633", "kernel_id": "23460594"}, {"ref": "shahad001/feedback-prize-eda", "kernel_id": "23632969"}, {"ref": "gbalachandhiran/eda-of-the-corpus", "kernel_id": "23946065"}, {"ref": "parasrana/eda-with-no-efforts", "kernel_id": "23838773"}, {"ref": "leemop/sec-nlp-study-prize-feedback", "kernel_id": "23688966"}, {"ref": "ishandutta/nlp-augmentations-master-notebook", "kernel_id": "23565940"}, {"ref": "satyanarayanam/bigbird-ner-training-pt-gpu-feedback-prize", "kernel_id": "23866247"}, {"ref": "muhammadammarjamshed/analysis-on-writings-styles", "kernel_id": "23031486"}, {"ref": "dokeefe/training-data-to-bow", "kernel_id": "23933551"}, {"ref": "mst8823/pytorch-lightning-longformer-io-tagging-infer", "kernel_id": "23691584"}, {"ref": "mst8823/pytorch-lightning-longformer-io-tagging-fit", "kernel_id": "23688746"}, {"ref": "nickuzmenkov/feedback-prize-making-roberta-tokens", "kernel_id": "23986926"}, {"ref": "nickuzmenkov/feedback-prize-training-roberta-in-10-minutes", "kernel_id": "23915043"}, {"ref": "yshiml/feedback-prize-eda-baseline", "kernel_id": "23658371"}, {"ref": "tengwang0318/longformertorchbasedonchris", "kernel_id": "23046313"}, {"ref": "tengwang0318/bigbirdbasedonchris", "kernel_id": "23047053"}, {"ref": "swaralipibose/grammer-check-on-the-essays-its-needed", "kernel_id": "23565373"}, {"ref": "somesh88/inference-longformer", "kernel_id": "23871089"}, {"ref": "vuxxxx/tensorflow-longformer-ner-postprocessing", "kernel_id": "23600448"}, {"ref": "zaakciiru/jax-bigbird-huggingface-train-baseline", "kernel_id": "23742028"}, {"ref": "zaakciiru/tf-huggingface-roformer-tpu-train", "kernel_id": "23723991"}, {"ref": "kishalmandal/pytorch-longformer-1024-infer", "kernel_id": "23053231"}, {"ref": "marcocavaco/ner-model-using-spacy", "kernel_id": "23833230"}, {"ref": "ramjanamyadav/rapids-umap-tfidf-kmeans-discovers-15-topics", "kernel_id": "23963610"}, {"ref": "ashwinvijayanpillai/length-mismatch-analysis", "kernel_id": "23911112"}, {"ref": "subhochowdhury/tensorflow-longformer-ner-postprocessing", "kernel_id": "23774622"}, {"ref": "parikshitsharma2001/two-longformers-are-better-than-1", "kernel_id": "23901119"}, {"ref": "intjerlu/tensorflow-longformer-v1", "kernel_id": "23630275"}, {"ref": "alicematusheva/evaluating-students-writing-ml-dl-and-data-aug", "kernel_id": "23950435"}, {"ref": "sentinel1/feedback-color-print", "kernel_id": "23572435"}, {"ref": "sentinel1/feedback-prize-2021-lib-howto-2", "kernel_id": "23655132"}, {"ref": "sentinel1/feedback-prize-2021-lib", "kernel_id": "23653720"}, {"ref": "sentinel1/feedback-prize-2021-lib-howto-3", "kernel_id": "23681802"}, {"ref": "sentinel1/feedback-prize-2021-k-fold-split-data", "kernel_id": "23867763"}, {"ref": "dashiellstander/spacy-basic-view-colorized-essays-with-spacy", "kernel_id": "23732047"}, {"ref": "anaganivaralakshmi/eda-feedback-prize-2021", "kernel_id": "23228253"}, {"ref": "kaggleqrdl/tensorflow-longformer-ner-postprocessing", "kernel_id": "23614903"}, {"ref": "kaggleqrdl/oof-vrs-valid-eda", "kernel_id": "23546152"}, {"ref": "kaggleqrdl/predictionstring-gen", "kernel_id": "23386293"}, {"ref": "kaggleqrdl/badcharcount", "kernel_id": "23338526"}, {"ref": "fxalll/0-690-try-better-parameters", "kernel_id": "23877819"}, {"ref": "winun1127/fp-tf-baseline-longformer", "kernel_id": "23589292"}, {"ref": "nightmare65/text-augmentation-with-nightfire", "kernel_id": "23849267"}, {"ref": "jaypeng/feedback-prize", "kernel_id": "23963724"}, {"ref": "goldenlock/link-evidence-simplified", "kernel_id": "24043685"}, {"ref": "paulmineau/tensorflow-longformer-ner-cv-0-633", "kernel_id": "24830103"}, {"ref": "cpmpml/faster-metric-computation", "kernel_id": "24616477"}, {"ref": "hengck23/1-birdformer-1-longformer-one-fold", "kernel_id": "24825195"}, {"ref": "jdoesv/topics-identification", "kernel_id": "24210609"}, {"ref": "ajenningsfrankston/text-level-histogram", "kernel_id": "24172160"}, {"ref": "bkanupam/iterstrat-vs-skmultilearn", "kernel_id": "24786563"}, {"ref": "osamir/download-huggingface-models", "kernel_id": "24803360"}, {"ref": "takoihiraokazu/distilbart-tokenizer", "kernel_id": "24945565"}, {"ref": "takoihiraokazu/roberta-large-tokenizer", "kernel_id": "24672845"}, {"ref": "takoihiraokazu/bart-large-tokenizer", "kernel_id": "24700825"}, {"ref": "takoihiraokazu/deberta-large-tokenizer", "kernel_id": "24803320"}, {"ref": "takoihiraokazu/funnel-large-tokenizer", "kernel_id": "24823755"}, {"ref": "prokaj/faster-metric-computation", "kernel_id": "24937169"}, {"ref": "tiandaye/creating-folds-properly-hopefully-p", "kernel_id": "24486152"}, {"ref": "dreamweaver/visualize-discourse-type-with-html-file-offered", "kernel_id": "24096993"}, {"ref": "sanket82/detailed-understanding-of-text-classification", "kernel_id": "24263359"}, {"ref": "blankaf/feedback-bigbird-train", "kernel_id": "24908368"}, {"ref": "narendra/longformer-baseline-multitask-submission", "kernel_id": "24011682"}, {"ref": "narendra/feedback-meta-feature-analysis-part1", "kernel_id": "24065310"}, {"ref": "narendra/longformer-large-multitask-submision", "kernel_id": "24198690"}, {"ref": "julian3833/pytorch-itpt-intra-task-pre-training", "kernel_id": "24275701"}, {"ref": "julian3833/topic-modeling-with-lda", "kernel_id": "24249368"}, {"ref": "julian3833/w-b-tracked-shortformers-experiments", "kernel_id": "24390318"}, {"ref": "luhuihu/nlp-evaluating-student-writing", "kernel_id": "24297859"}, {"ref": "antwerp/text-summarization-using-pegasus", "kernel_id": "24112654"}, {"ref": "derrickmwiti/bert-base-uncased", "kernel_id": "24752631"}, {"ref": "ollibolli/q-a-inference", "kernel_id": "24980395"}, {"ref": "ollibolli/q-a-pytorch", "kernel_id": "24970135"}, {"ref": "dominyellow/bigbird-draft-01", "kernel_id": "24637947"}, {"ref": "leekh7411/fbpz-tensorflow-2-bert-base-cased", "kernel_id": "24871850"}, {"ref": "narukawa/eda-feedback-prize-2021", "kernel_id": "24613615"}, {"ref": "penpen926/baseline2-longformer", "kernel_id": "24787012"}, {"ref": "pavithra23/spell-check-eda", "kernel_id": "24078271"}, {"ref": "aliasgherman/vocabulary-txt-coverage-improvement-80-to-99", "kernel_id": "24071743"}, {"ref": "dwchen/huggingface-lib-downloader", "kernel_id": "24921427"}, {"ref": "arunamenon/evaluate-student-writing-longformer-inference", "kernel_id": "24993316"}, {"ref": "arunamenon/evaluate-student-writing-eda-longformer-train", "kernel_id": "24968614"}, {"ref": "samir95/visualizing-texts-as-images", "kernel_id": "24279988"}, {"ref": "gopidurgaprasad/new-prediction-string", "kernel_id": "24379053"}, {"ref": "ktgiahieu/rapids-umap-tfidf-kmeans-discovers-15-topics", "kernel_id": "24913399"}, {"ref": "sugiyama2718/beam-search-inference", "kernel_id": "24183096"}, {"ref": "jacky2wong/building-a-simple-search-app-with-relevanceai", "kernel_id": "24617901"}, {"ref": "donggunseo/notebook3eddf187a3", "kernel_id": "24477768"}, {"ref": "tracycaesar/crfversion", "kernel_id": "24559459"}, {"ref": "ytakayama/infer-pytorch-longformer-5fold", "kernel_id": "24264391"}, {"ref": "ytakayama/train-pytorch-longformer-5fold-forgooglecolab", "kernel_id": "24264022"}, {"ref": "rachanabisht/evaluatingstudentwriting-complete-text-eda", "kernel_id": "24476324"}, {"ref": "tanulsingh077/longformer-training-with-deepspeed-and-hf-trainer", "kernel_id": "24284996"}, {"ref": "vickeytomer/eda-student-writing-vk", "kernel_id": "24342966"}, {"ref": "naman88ai/insights-through-eda-feedback-prize", "kernel_id": "24303644"}, {"ref": "kausheeki01/advantage-of-2-longformers-over-1", "kernel_id": "24612565"}, {"ref": "stefanojp/infer-pytorch-longformer-5fold", "kernel_id": "24621777"}, {"ref": "vvrrao/evaluatingstudentwriting-usingbert", "kernel_id": "24155170"}, {"ref": "nbroad/feedback-prize-tokenizer-eda", "kernel_id": "24080168"}, {"ref": "hrodbert/playground-notebook", "kernel_id": "24652136"}, {"ref": "sytuannguyen/transformer-tokenize-a-text-for-beginner", "kernel_id": "24894107"}, {"ref": "sytuannguyen/download-a-pre-trained-transformer-for-beginner", "kernel_id": "24893158"}, {"ref": "dibyabose/student-writing-evaluation-chai", "kernel_id": "24944455"}, {"ref": "arzarei/feedback", "kernel_id": "24029939"}, {"ref": "gbalachandhiran/fine-tuning-distilbert-transformers", "kernel_id": "24314521"}, {"ref": "markwijkhuizen/training-longformer-gradient-accumulation", "kernel_id": "24411712"}, {"ref": "markwijkhuizen/preprocessing-oversampling", "kernel_id": "24288589"}, {"ref": "fangyu67/feedback2022-pytorch-lightning-train", "kernel_id": "24653783"}, {"ref": "fangyu67/feedback2022-pytorch-lightning-infer", "kernel_id": "24747413"}, {"ref": "vanguarde/guided-lda-light-eda-semi-supervised-tm", "kernel_id": "24307073"}, {"ref": "khosiyatsabirova/tensorflow-evaluatingstudentwriting", "kernel_id": "24004862"}, {"ref": "mohammedirfan25/feed-back-preprocessing", "kernel_id": "24985138"}, {"ref": "mohammedirfan25/feedback-submission", "kernel_id": "24390089"}, {"ref": "bakar31/writing-evaluation-noob-eda", "kernel_id": "24504156"}, {"ref": "vincentholmes/corrected-train-csv-feedback-prize", "kernel_id": "24701505"}, {"ref": "vincentholmes/competition", "kernel_id": "24696956"}, {"ref": "reymaster/create-and-tag-ner-tokens-iob-bio-format", "kernel_id": "24195766"}, {"ref": "reymaster/sentence-classification-with-svm-and-tf-idf", "kernel_id": "24109290"}, {"ref": "dumplingz/feed-bert", "kernel_id": "24502959"}, {"ref": "hechtjp/bert-pytorch-lightning-baseline-training", "kernel_id": "24592110"}, {"ref": "irynaalshakova/fork-of-2-1-statement-types-similarity-doc2vec-lr", "kernel_id": "24151739"}, {"ref": "ryosukeyakura/eda-roberta", "kernel_id": "24308914"}, {"ref": "letuyet/feedback-prize", "kernel_id": "24976886"}, {"ref": "egemenpamuku/pytorch-bigbird-ner-cv-0-615", "kernel_id": "24991203"}, {"ref": "mehrankamal/fork-of-fork-of-fork-of-fork-of-notebook6fbc44e698", "kernel_id": "24105762"}, {"ref": "somesh88/infer-long-makesub-getting-compute-error", "kernel_id": "24020728"}, {"ref": "hjimbean/train-pytorch-longformer-hjb", "kernel_id": "24976895"}, {"ref": "yama09/feedback-prize-eda-with-displacy", "kernel_id": "24709300"}, {"ref": "yama09/nlp-on-student-writing-eda", "kernel_id": "24708669"}, {"ref": "mujrush/contradictory-predictions-about-rebuttal", "kernel_id": "24618034"}, {"ref": "tungthanhpvu/feedback-prize", "kernel_id": "24773571"}, {"ref": "jillanisofttech/2-longformers-are-better-than-1", "kernel_id": "24245676"}, {"ref": "efficientalan/sequence-postprocessing-v2-67-lb", "kernel_id": "24799335"}, {"ref": "renokan/embeddings-cls-token-logisticregression", "kernel_id": "24810827"}, {"ref": "renokan/analysis-of-discourse-type-text-columns", "kernel_id": "24704969"}, {"ref": "renokan/simple-analysis-of-discourses-type-sequence", "kernel_id": "24741578"}, {"ref": "mauricefunk/two-longformers-are-better-than-1", "kernel_id": "24799664"}, {"ref": "nikhilsatani/feedback-prize-1", "kernel_id": "24037297"}, {"ref": "dhruvmethar/mlm-fine-tuning-of-longformer-using-hf", "kernel_id": "24719029"}, {"ref": "robdogan/sentence-classification", "kernel_id": "24533984"}, {"ref": "sasukess1/bert-baseline-0-462-val", "kernel_id": "24306008"}, {"ref": "tejasgokulbaraskar/feedback-prize-evaluating-student-writing", "kernel_id": "24775440"}, {"ref": "eldestinofeng/corrected-train-csv-feedback-prize", "kernel_id": "24691381"}, {"ref": "eldestinofeng/competition", "kernel_id": "24525882"}, {"ref": "bachan/feedback-prize-2021-0-714-private-lb", "kernel_id": "24614655"}, {"ref": "fmc123/notebook2d9ed4b867", "kernel_id": "24516060"}, {"ref": "fmc123/notebookb34f9d0406", "kernel_id": "24543020"}, {"ref": "konstantinmargulyan/nlp-project", "kernel_id": "24808927"}, {"ref": "konstantinplashinnov/the-essay-recognizer", "kernel_id": "24129316"}, {"ref": "longhuqin/discovers-keywords", "kernel_id": "24401976"}, {"ref": "pauljef/eda-data-visualisation-two-easy-ways", "kernel_id": "24202291"}, {"ref": "zhengxinqian/longformer-can-run", "kernel_id": "24994326"}, {"ref": "priyankawawdhane/autoviml", "kernel_id": "24939791"}, {"ref": "mmisty/student-writing-eda", "kernel_id": "24197821"}, {"ref": "ttttttll/brute-force-v6-tez", "kernel_id": "24993922"}, {"ref": "minyeongkang/eda-evaluating-student-writing", "kernel_id": "24911145"}, {"ref": "harunilkhan/notebook3d6089463d", "kernel_id": "24867068"}, {"ref": "goldenlock/word-level-lstm-fake-code", "kernel_id": "25559293"}, {"ref": "hengck23/show-prediction-heatmap", "kernel_id": "25116897"}, {"ref": "hengck23/fast-inference-deberta-xlarge-under-50min", "kernel_id": "25066711"}, {"ref": "darraghdog/new-baseline", "kernel_id": "25839196"}, {"ref": "darraghdog/feedback-huggingface-models", "kernel_id": "25839829"}, {"ref": "nulldata/patchworklib-combine-multiple-py-charts-easily", "kernel_id": "25048487"}, {"ref": "tascj0/a-text-span-detector", "kernel_id": "25418204"}, {"ref": "geraldk/evaluatingstudentwriting-train-model", "kernel_id": "25047924"}, {"ref": "aerdem4/xgb-lgb-feedback-prize-cv-0-7322", "kernel_id": "25324470"}, {"ref": "nehapawar/tfidf-random-forest-classifier", "kernel_id": "25006144"}, {"ref": "robikscube/feedback-prize-2022-pp", "kernel_id": "25330068"}, {"ref": "gauravbrills/heng-ensemble", "kernel_id": "25309897"}, {"ref": "piupiupiu/lb742", "kernel_id": "25349371"}, {"ref": "akuritsyn/feedback-model-ensemble", "kernel_id": "25174017"}, {"ref": "wht1996/feedback-two-stage-cv0-747", "kernel_id": "25377309"}, {"ref": "wht1996/feedback-longformer-5fold-0-697", "kernel_id": "25374449"}, {"ref": "wht1996/feedback-two-stage-lb0-727", "kernel_id": "25375296"}, {"ref": "wht1996/feedback-nn-train", "kernel_id": "25383344"}, {"ref": "wht1996/feedback-lgb-train", "kernel_id": "25392449"}, {"ref": "kneroma/gdrive-db1l-1024-v2-v11-no-pe-weights", "kernel_id": "25217296"}, {"ref": "ollibolli/batch-pipeline-q-a-inference", "kernel_id": "25208641"}, {"ref": "ollibolli/q-a-pytorch-predict-via-trainer", "kernel_id": "25369465"}, {"ref": "ithingv/notebook02e1340df6", "kernel_id": "25713348"}, {"ref": "resistance0108/lgbm-postprocess-training", "kernel_id": "25251523"}, {"ref": "resistance0108/fb-ensemble-ver-1-12-0-old-mod-postprocess", "kernel_id": "25276491"}, {"ref": "resistance0108/fb-oof-cv-calculation-create-feats", "kernel_id": "25226996"}, {"ref": "cdeotte/2nd-place-solution-cv741-public727-private740", "kernel_id": "25414246"}, {"ref": "shinomoriaoshi/feedbackprize-v25b-infer", "kernel_id": "25079568"}, {"ref": "shinomoriaoshi/feedbackprize-v20i-v25b-ens-infer-v2", "kernel_id": "25146416"}, {"ref": "haozhang607/feedback-prize-evaluating-student-writing", "kernel_id": "25053904"}, {"ref": "tabchenjlu/merge-4-models", "kernel_id": "25203268"}, {"ref": "singhnavleen/feedback-prize-evaluating-student-writing", "kernel_id": "25000025"}, {"ref": "rachanabisht/first-rf-model-for-text-classification", "kernel_id": "25170731"}, {"ref": "albernard/clean-feedback-ensemble-v4", "kernel_id": "25329013"}, {"ref": "amedprof/last-dance-2-fprize-wbf", "kernel_id": "25374084"}, {"ref": "phanttan/ner-longformer", "kernel_id": "25088093"}, {"ref": "phanttan/ensemble-feedbackprice2022", "kernel_id": "25273550"}, {"ref": "takiyu/train-pytorch-spanbert-ner", "kernel_id": "25024606"}, {"ref": "yuedengx/pytorch-bigbird-ner-cv-0-615-417330", "kernel_id": "25205455"}, {"ref": "kausheeki01/feedback-prize-2022-pytorch-better-parameters", "kernel_id": "25109279"}, {"ref": "vkmaurya/basic-of-feedback-prize-eda", "kernel_id": "25171066"}, {"ref": "columbia2131/exp-038-ensemble-xgb-mlp-lstm-fe-fix-tail", "kernel_id": "25379534"}, {"ref": "columbia2131/tuning-exp038-right-edge-removing", "kernel_id": "25393693"}, {"ref": "utmostlimitc/concat-4fold-large-705-vs-2fold-xlarge-699-b75831", "kernel_id": "25381250"}, {"ref": "sergeichudov/8th-place-inference-notebook", "kernel_id": "25033596"}, {"ref": "priy998/eda-feedback-prize-evaluating-writing", "kernel_id": "25159391"}, {"ref": "fangyu67/infer-feedback2022-cleanmemory", "kernel_id": "25303037"}, {"ref": "leemop/folked-0-692-feedback-prize-2021-pytorch", "kernel_id": "25221095"}, {"ref": "rahilsidiqqui/tfidf-random-forest-classifier", "kernel_id": "25342600"}, {"ref": "namantuli/clean-feedback-ensemble-balanced", "kernel_id": "25308472"}, {"ref": "prasadshete20/final-sem8-nlp-project-on-student-evaluator", "kernel_id": "25065434"}, {"ref": "devanshchowdhury/final-feedback-ensemble-v6", "kernel_id": "25378228"}, {"ref": "tunminhhunh/fork-of-8bit-exp", "kernel_id": "25205597"}, {"ref": "mikiota/data-augmentation-csv-txt-using-back-translation", "kernel_id": "25152072"}, {"ref": "telmazzzz/fb-inference-0-711-final", "kernel_id": "25380340"}, {"ref": "kurokurob/12th-place-solution-error-fix", "kernel_id": "25878574"}, {"ref": "kurokurob/12th-place-solution-original", "kernel_id": "25878408"}, {"ref": "abdulkadirguner/14mart-3safhalisubmit", "kernel_id": "25330704"}, {"ref": "librauee/infer-fast-ensemble-models", "kernel_id": "25168787"}, {"ref": "firefile/two-longformers-are-better-than-1", "kernel_id": "25208374"}, {"ref": "firefile/infer-fast-ensemble-models", "kernel_id": "25208323"}, {"ref": "firefile/2-longformers-are-better-than-1", "kernel_id": "25208325"}, {"ref": "firefile/1-birdformer-1-longformer-one-fold", "kernel_id": "25208328"}, {"ref": "charliezimmerman/postprocessing-704-bronze-medal", "kernel_id": "25763925"}, {"ref": "charliezimmerman/add-nothing-label-to-submission-dataframe", "kernel_id": "25148282"}, {"ref": "ravikumarmn/tensorflow-feedback-prize", "kernel_id": "25114216"}, {"ref": "tungthanhpvu/feedback-prize-data-augmentation", "kernel_id": "25224687"}, {"ref": "tungthanhpvu/feedback-prize-inference", "kernel_id": "25350481"}, {"ref": "valentinlaurent2/two-longformers-inference", "kernel_id": "25326028"}, {"ref": "renokan/student-writing-ner-by-2-longformer-large-4096", "kernel_id": "25146010"}, {"ref": "renokan/create-custom-dataset-samples-and-prepared-data", "kernel_id": "25075868"}, {"ref": "renokan/simple-compare-longformer-albert-and-distilbert", "kernel_id": "25030056"}, {"ref": "renokan/select-check-parameters-for-2-longformer-model", "kernel_id": "25166707"}, {"ref": "sjsn2002/rf-tfidf", "kernel_id": "25314811"}, {"ref": "chandraprajapati/feedback-prize-logistic-regression", "kernel_id": "25376979"}, {"ref": "kuhnnn/11111f-m0-feedback-prize-2022-p-bb407a", "kernel_id": "25376505"}, {"ref": "kuhnnn/4444infer-fast-ensemble-models-b1de10", "kernel_id": "25377267"}, {"ref": "aishikai/fb-pp-v2-infernce", "kernel_id": "25214991"}, {"ref": "lvcvesaul/randomforest-only-gradientboostnow-0-25-lb", "kernel_id": "25057518"}, {"ref": "lvcvesaul/fbpz-tensorflow-2-bert-base-cased", "kernel_id": "25057520"}, {"ref": "lvcvesaul/2-2-load-roberta-model-and-predict", "kernel_id": "25057521"}, {"ref": "lvcvesaul/name-entity-recognition-with-transformer", "kernel_id": "25057522"}, {"ref": "lvcvesaul/expanding-sentences-window-logistic-regression", "kernel_id": "25057523"}, {"ref": "lvcvesaul/nlp-evaluating-student-writing", "kernel_id": "25057019"}, {"ref": "lvcvesaul/0-690-try-better-parameters", "kernel_id": "25057020"}, {"ref": "lvcvesaul/cv-ensemble", "kernel_id": "25057051"}, {"ref": "lvcvesaul/1-birdformer-1-longformer-one-fold", "kernel_id": "25057055"}, {"ref": "lvcvesaul/sequence-postprocessing-v2-67-lb", "kernel_id": "25057056"}, {"ref": "lvcvesaul/tensorflow-longformer-ner-postprocessing", "kernel_id": "25057058"}, {"ref": "lvcvesaul/tensorflow-longformer-ner-postprocess-50d9bc", "kernel_id": "25057059"}, {"ref": "lvcvesaul/tensorflow-longformer-ner", "kernel_id": "25057060"}, {"ref": "kylekwangilkim/double-bert-not-burger", "kernel_id": "25154173"}, {"ref": "marcelinom2018/feedback-prize-2021", "kernel_id": "25219631"}, {"ref": "amulil/simple-longformer-n-fold-train", "kernel_id": "25208565"}, {"ref": "shreyasadhari123/fast-inference-final", "kernel_id": "25256605"}, {"ref": "omerparlak/2-correlation-analysis-and-feature-importance", "kernel_id": "25071936"}, {"ref": "milesme/feedback-baseline-sentence-classifier-0-226", "kernel_id": "25335983"}, {"ref": "sumeetsandhu/longformer-qa-train", "kernel_id": "25778187"}, {"ref": "purtin29/deberta-can-run-v3", "kernel_id": "25709606"}, {"ref": "purtin29/deberta-can-run-v2", "kernel_id": "25053100"}, {"ref": "cenzop/sentence-transformers-mpnetbase-no-tuning", "kernel_id": "26959821"}, {"ref": "sjsn2002/slow-af", "kernel_id": "26798183"}, {"ref": "lextoumbourou/feedback-pseudo-labelling-full-2021-dataset", "kernel_id": "27440590"}, {"ref": "lextoumbourou/feedback-prize-the-complete-overview", "kernel_id": "27353157"}, {"ref": "lextoumbourou/feedback-topics-identification-with-bertopic", "kernel_id": "27671031"}, {"ref": "chenshengabc/infer-ensemble-models-seq-postprocess-with-script", "kernel_id": "27142018"}, {"ref": "tdh512194/simple-5-foldcv-deberta-baseline", "kernel_id": "27424591"}, {"ref": "trushk/feedback-topics-identification-with-bertopic", "kernel_id": "28494556"}, {"ref": "chaitanyagiri/deberta-pre-training-using-mlm", "kernel_id": "28945551"}, {"ref": "diawia/pytorch-bigbird-ner-cv-0-615", "kernel_id": "28382115"}, {"ref": "lextoumbourou/feedback-deberta-xlarge-0-588-public-lb", "kernel_id": "29786917"}, {"ref": "shigengtian/prepare-mlm-data", "kernel_id": "29082976"}, {"ref": "ralphabb/fp1thirdplacefullwithcomments", "kernel_id": "29798650"}, {"ref": "zacchaeus/fb3-eda", "kernel_id": "29998043"}, {"ref": "elliot321/pseudo-labeling-how-to-get-pseudo-labels", "kernel_id": "29478235"}, {"ref": "vad13irt/optimization-approaches-for-transformers-part-2", "kernel_id": "29779534"}, {"ref": "harshitkmr/fpe-deberta-training", "kernel_id": "29397972"}, {"ref": "rolianklay/pseudo-labeling-how-to-get-pseudo-labels", "kernel_id": "29318881"}, {"ref": "nguyenducanhpham/xgb-lgb-feedback-prize-cv-0-7322", "kernel_id": "29849140"}, {"ref": "vslaykovsky/1-2-more-training-data-from-fb2021", "kernel_id": "30229383"}, {"ref": "vslaykovsky/train-deberta-v3-base-with-pseudo-labels", "kernel_id": "30242638"}, {"ref": "verracodeguacas/feedback-3-eda-sentence-transformers", "kernel_id": "30002286"}, {"ref": "takamichitoda/fb3-mlm-training-from-competition-data", "kernel_id": "30938942"}, {"ref": "kneroma/kkiller-fpzeff-2nd-place-training", "kernel_id": "30126138"}, {"ref": "ralphabb/fp1secondplaceminimalwithcomments", "kernel_id": "30687200"}, {"ref": "ralphabb/fp1sixthplaceminimalwithcomments", "kernel_id": "30187402"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-linear-regression", "kernel_id": "30877457"}, {"ref": "tomoyayanagi/feedback3-topics-identification-with-bertopic", "kernel_id": "30036240"}, {"ref": "sakshamdwivedi10/text-reasoning-using-pegasus", "kernel_id": "30090056"}, {"ref": "w1326627677/feedback-lgbm-doc2vec", "kernel_id": "30173033"}, {"ref": "yujikomi/all-essays-for-3-feedback-competitions", "kernel_id": "30003851"}, {"ref": "brucewaynew/deberta-v3-large-pseudo-3", "kernel_id": "31037420"}, {"ref": "brucewaynew/deberta-v3-large-pseudo-2", "kernel_id": "31037334"}, {"ref": "victorragazzi/feedback-prize", "kernel_id": "31870230"}, {"ref": "authormorgan/deberta-v3-large-pseudo-1", "kernel_id": "31037293"}, {"ref": "authormorgan/deberta-v3-large-pseudo-0", "kernel_id": "31037136"}, {"ref": "nowlookahead/lunaticnfx", "kernel_id": "31463713"}, {"ref": "fujino15rin/train-deberta-v3-base", "kernel_id": "31227583"}, {"ref": "currypurin/feedback3-duplication-with-past-competition-data", "kernel_id": "32007440"}, {"ref": "vitouphy/fb3-multi-task-prediction", "kernel_id": "32671734"}, {"ref": "vitouphy/argument-segmentation-with-ner-roberta", "kernel_id": "32248109"}, {"ref": "gazu468/all-about-bert-you-need-to-know", "kernel_id": "32665951"}, {"ref": "zakariajoudar/unsupervised-classification-feedback-prize", "kernel_id": "32456552"}, {"ref": "victorkauan/bert-discourse-classification", "kernel_id": "32854732"}, {"ref": "tfukuda675/knowlege-compare-text-proc-speed-with-polars", "kernel_id": "33830642"}, {"ref": "aman1391/topic-and-subtopics-graph-using-umap", "kernel_id": "34366258"}, {"ref": "themadrambito/pretrain-deberta-as-a-discriminator", "kernel_id": "34153859"}, {"ref": "aman1391/fork-of-remaining-all-goes-round-lda", "kernel_id": "36314836"}, {"ref": "abebe9849/ai-2023-tokenizer-eda", "kernel_id": "36167396"}, {"ref": "yangkenwu/ml-clustering-tfidf-essay-topics-discovery", "kernel_id": "36262832"}, {"ref": "hongzhebi/notebookd31237abbc", "kernel_id": "37531254"}, {"ref": "shendurkarsahil/tensorflow-longformer-ner-cv-0-633", "kernel_id": "37468545"}, {"ref": "tanmaykadam13/discoursemaster-advancing-discourse-type-classifi", "kernel_id": "38660096"}, {"ref": "vikramsandu/commonlit-mlm", "kernel_id": "41600870"}, {"ref": "sidharthsureshkumar/essay-class", "kernel_id": "41915920"}, {"ref": "sidharthsureshkumar/essay-classifier", "kernel_id": "41925795"}, {"ref": "hassanbenali/notebook0a8b6d796f", "kernel_id": "42675200"}, {"ref": "hassanbenali/tensorflow-longformer-ner", "kernel_id": "42247442"}, {"ref": "hassanbenali/notebook584a87af2e", "kernel_id": "42229075"}, {"ref": "abdelrhman2410/ml-training", "kernel_id": "42315140"}, {"ref": "zzy990106/download-gte-small", "kernel_id": "43953908"}, {"ref": "bachmaian/bachmaian-bert-replicated", "kernel_id": "46576544"}, {"ref": "bachmaian/bachmaian-bert-from-bart-longformer", "kernel_id": "46611820"}, {"ref": "kareninlin/ntuh-nlp", "kernel_id": "47295439"}, {"ref": "yiyewang/nlp-on-student-writing-eda", "kernel_id": "47773458"}, {"ref": "mustafakeser4/labelling-detect-ai-interactive-labelling-tool", "kernel_id": "48726121"}, {"ref": "mustafakeser4/train-detectai-distilroberta-0-927", "kernel_id": "48928834"}, {"ref": "gauravbrills/train-detectai-bert-deberta-distil", "kernel_id": "49025740"}, {"ref": "tonymarkchris/train-detectai-deberta", "kernel_id": "50469004"}, {"ref": "tengwang0318/notebook6bba6ffdd3", "kernel_id": "53135260"}, {"ref": "hakim571/adtt-uts", "kernel_id": "53103609"}, {"ref": "shakhauat/feedback-prize-evaluating-student-writing-solution", "kernel_id": "57094245"}, {"ref": "hdrbozkurtt/learning-agency-lab-automated-essay-scoring-2-0", "kernel_id": "57318870"}, {"ref": "leonalinlin/nlp-on-student-writing-eda", "kernel_id": "57010495"}, {"ref": "huchenjiang/learning-ner-with-feedback-dataset", "kernel_id": "59178581"}, {"ref": "endofnight17j03/nlp-student-writing-eda", "kernel_id": "59427255"}, {"ref": "parisdavid/download-huggingface-models", "kernel_id": "60182373"}, {"ref": "chihoangf/text-summarization-using-pegasus", "kernel_id": "77534535"}, {"ref": "ducke19/protory-tf", "kernel_id": "77858888"}, {"ref": "kemaldemirba/feedback-nlp-10-step", "kernel_id": "112007619"}, {"ref": "farhodjonergashov/feedback-nlp", "kernel_id": "117811052"}, {"ref": "ngchinvth/2nd-place-solution-cv741-public727-private740", "kernel_id": "136113367"}]}
{"competition_id": "31792", "kernels": []}
{"competition_id": "31799", "kernels": []}
{"competition_id": "31810", "kernels": []}
{"competition_id": "31817", "kernels": []}
{"competition_id": "31820", "kernels": []}
{"competition_id": "31822", "kernels": [{"ref": "derekcai/part3-inference-notebook", "kernel_id": "21968684"}, {"ref": "derekcai/part2-code", "kernel_id": "21972582"}, {"ref": "derekcai/part3-training-notebook", "kernel_id": "21978005"}]}
{"competition_id": "31827", "kernels": []}
{"competition_id": "31833", "kernels": []}
{"competition_id": "31843", "kernels": [{"ref": "dimka11/rucode-4-friends-catboost", "kernel_id": "21970008"}, {"ref": "dimka11/rucode-friends-bert-2", "kernel_id": "22031448"}]}
{"competition_id": "31844", "kernels": [{"ref": "alanarnholt/testit2", "kernel_id": "21399718"}, {"ref": "aaronfriasr/house-sales-in-king-county-model", "kernel_id": "53520250"}]}
{"competition_id": "31847", "kernels": []}
{"competition_id": "31854", "kernels": []}
{"competition_id": "31857", "kernels": [{"ref": "xunkhimnguyn/emory-btcprediction", "kernel_id": "89190149"}]}
{"competition_id": "31859", "kernels": []}
{"competition_id": "31861", "kernels": []}
{"competition_id": "31862", "kernels": []}
{"competition_id": "31864", "kernels": []}
{"competition_id": "31865", "kernels": []}
{"competition_id": "31876", "kernels": []}
{"competition_id": "31877", "kernels": []}
{"competition_id": "31881", "kernels": []}
{"competition_id": "31894", "kernels": []}
{"competition_id": "31897", "kernels": []}
{"competition_id": "31898", "kernels": []}
{"competition_id": "31911", "kernels": []}
{"competition_id": "31916", "kernels": [{"ref": "pavelfomin/tweet-statement-linearsvc-sklearn", "kernel_id": "61680119"}, {"ref": "shefatmoral/multiclass-sentiment-analysis", "kernel_id": "79497885"}]}
{"competition_id": "31919", "kernels": []}
{"competition_id": "31926", "kernels": []}
{"competition_id": "31927", "kernels": [{"ref": "khalidoublal/machine-learning-framework-for-h-indexing", "kernel_id": "22563880"}]}
{"competition_id": "31933", "kernels": [{"ref": "kimjoohan/baseline-code", "kernel_id": "21553572"}, {"ref": "taeheekimkaist/baseline-code", "kernel_id": "21479261"}]}
{"competition_id": "31937", "kernels": []}
{"competition_id": "31939", "kernels": []}
{"competition_id": "31940", "kernels": []}
{"competition_id": "31950", "kernels": []}
{"competition_id": "31960", "kernels": []}
{"competition_id": "31965", "kernels": [{"ref": "silvanaaramyan/notebookc105d8ef0d", "kernel_id": "32326189"}, {"ref": "silvanaaramyan/notebook418b978cf7", "kernel_id": "32287517"}, {"ref": "silvanaaramyan/homework8", "kernel_id": "32829152"}]}
{"competition_id": "31967", "kernels": []}
{"competition_id": "31972", "kernels": []}
{"competition_id": "31979", "kernels": []}
{"competition_id": "31982", "kernels": []}
{"competition_id": "31988", "kernels": []}
{"competition_id": "31991", "kernels": []}
{"competition_id": "31992", "kernels": [{"ref": "jbpark/notebook8129156180", "kernel_id": "21929156"}]}
{"competition_id": "31997", "kernels": []}
{"competition_id": "32013", "kernels": []}
{"competition_id": "32025", "kernels": []}
{"competition_id": "32027", "kernels": []}
{"competition_id": "32030", "kernels": []}
{"competition_id": "32034", "kernels": []}
{"competition_id": "32042", "kernels": []}
{"competition_id": "32047", "kernels": []}
{"competition_id": "32051", "kernels": []}
{"competition_id": "32053", "kernels": [{"ref": "knightbearr/python-cheat-sheet-knightbearr", "kernel_id": "20121331"}, {"ref": "konradb/simple-baseline", "kernel_id": "23979394"}, {"ref": "konradb/return-of-the-giant-hogweed", "kernel_id": "23989489"}, {"ref": "lucamassaron/training-data-to-feather-python-r-low-mem", "kernel_id": "23992592"}, {"ref": "robikscube/ubiquant-market-prediction-twitch-stream-eda", "kernel_id": "23982636"}, {"ref": "robikscube/fast-data-loading-and-low-mem-with-parquet-files", "kernel_id": "23997724"}, {"ref": "currypurin/ubiquant-simple-lgbm-custom-metric", "kernel_id": "23984771"}, {"ref": "sohier/quick-submission-demo", "kernel_id": "23979285"}, {"ref": "hengzheng/gkp-lightgbm-5folds-infer", "kernel_id": "23992577"}, {"ref": "hengzheng/lightgbm-5folds-infer", "kernel_id": "23987802"}, {"ref": "hengzheng/lightgbm-5folds-baseline", "kernel_id": "23989292"}, {"ref": "docxian/ubiquant-market-prediction-visual-exploration", "kernel_id": "23989657"}, {"ref": "sishihara/ump-lgbm-groupkfold-feature-importance", "kernel_id": "23982532"}, {"ref": "sishihara/ump-lgbm-train-and-save", "kernel_id": "23984265"}, {"ref": "sishihara/ump-tf-keras-1dcnn-groupkfold-5-fold", "kernel_id": "23992800"}, {"ref": "sishihara/ump-lgbm-inference-by-forestinference", "kernel_id": "23990614"}, {"ref": "hamditarek/ubiquant-market-prediction-xgboost-with-gpu", "kernel_id": "23984580"}, {"ref": "changyulve/simpleeda", "kernel_id": "23983891"}, {"ref": "ayhampar/speed-up-reading-csv-to-pickle-score-0-108", "kernel_id": "23993873"}, {"ref": "yosukeyama/ubiquant-simple-lgbm-train-infer", "kernel_id": "23982416"}, {"ref": "gunesevitan/ubiquant-market-prediction-eda", "kernel_id": "23999169"}, {"ref": "seraphwedd18/pytorch-regression-model-train-by-chunks", "kernel_id": "23989236"}, {"ref": "hasanbasriakcay/ubiquan-market-preds-pycaret-model-comparisons", "kernel_id": "23989543"}, {"ref": "hasanbasriakcay/ubiquan-market-preds-eda-ign-imp-cols", "kernel_id": "23987312"}, {"ref": "hamzaghanmi/ubiquant-step-by-step", "kernel_id": "23993480"}, {"ref": "devkhant24/gru-tf", "kernel_id": "23986267"}, {"ref": "columbia2131/speed-up-reading-csv-to-pickle", "kernel_id": "23984947"}, {"ref": "sytuannguyen/ubiquant-with-simple-models", "kernel_id": "23998962"}, {"ref": "kalilurrahman/ubiquant-market-forecast-and-eda", "kernel_id": "23984888"}, {"ref": "lonnieqin/ubiquant-market-prediction-with-catboost", "kernel_id": "23987004"}, {"ref": "lonnieqin/ubiquant-market-prediction-with-ridge-regression", "kernel_id": "23982455"}, {"ref": "nischaydnk/different-splits-for-the-competition-parquets", "kernel_id": "23987573"}, {"ref": "edwardcrookenden/eda-and-lgbm-baseline-feature-imp", "kernel_id": "23979649"}, {"ref": "avtobusbratiev/simple-lgbm-hp-tuning-using-the-optuna", "kernel_id": "23998761"}, {"ref": "ernnnn4u/quick-to-read-csv-feather", "kernel_id": "23987532"}, {"ref": "miingkang/check-correlation-baseline-lgbm", "kernel_id": "23996322"}, {"ref": "edwintyh/ubiquant-mean-baseline", "kernel_id": "23979433"}, {"ref": "swaralipibose/a-strong-eda-a-strong-model-better-score", "kernel_id": "23994019"}, {"ref": "yazanmajzob/predictions-against-future-market-data", "kernel_id": "23992734"}, {"ref": "whitecat0022/ubiquant-market-prediction-catboostregressor", "kernel_id": "23996186"}, {"ref": "whitecat0022/ubiquant-market-prediction-lgbm", "kernel_id": "23992817"}, {"ref": "kitopl/begginer-ubiquant-data-outline", "kernel_id": "23990541"}, {"ref": "konradb/ts-10-validation-methods-for-time-series", "kernel_id": "24697571"}, {"ref": "konradb/split-the-data", "kernel_id": "24031920"}, {"ref": "lucamassaron/eda-target-analysis", "kernel_id": "24071265"}, {"ref": "lucamassaron/feature-selection-by-boruta-shap-for-ubiquant", "kernel_id": "24215926"}, {"ref": "youngyang/qlibnaiveexample-en", "kernel_id": "24761550"}, {"ref": "youngyang/a-different-eda-based-on-qlib-en", "kernel_id": "24761832"}, {"ref": "youngyang/qlib-dev-w", "kernel_id": "24772889"}, {"ref": "mik3hall/pcr-vif-regression", "kernel_id": "24155921"}, {"ref": "joelqv/grouptimeseriescv-catboost-gpu", "kernel_id": "24318760"}, {"ref": "scirpus/xgboost-smaller-solution", "kernel_id": "24537709"}, {"ref": "scirpus/wobblybob", "kernel_id": "24731565"}, {"ref": "chinta/ubiquant-market-prediction-complte-eda", "kernel_id": "24094257"}, {"ref": "usharengaraju/tensorflow-probability-probabilisticbnn", "kernel_id": "24110892"}, {"ref": "mstamatis/pytorch-regression-by-chunks-using-custom-af", "kernel_id": "24176932"}, {"ref": "nrcjea001/dwnn-embargocv-stratifiedgroupkfold-corrmetric", "kernel_id": "24802583"}, {"ref": "nrcjea001/investment-id-relationships-umap-kmeans", "kernel_id": "24979658"}, {"ref": "allunia/ubiquant-eda", "kernel_id": "24057474"}, {"ref": "aerdem4/ubiquant-rapids-random-forest-svm", "kernel_id": "24309507"}, {"ref": "aerdem4/ubiquant-lofo-feature-importance", "kernel_id": "24022563"}, {"ref": "aerdem4/ubiquant-rapids-svm", "kernel_id": "24239672"}, {"ref": "zafar092/ubiquant-market-prediction-eda", "kernel_id": "24095376"}, {"ref": "code1110/ubiquant-linear-model-train-infer", "kernel_id": "24177688"}, {"ref": "code1110/ubiquant-just-f-95", "kernel_id": "24178771"}, {"ref": "cv13j0/my-ml-approach-simple-dnn", "kernel_id": "24630276"}, {"ref": "johnakwei/ubiquant-forecasting-r-python-xgb", "kernel_id": "24318632"}, {"ref": "kingychiu/compare-to-5-yr-daily-sse-composite-index", "kernel_id": "24065168"}, {"ref": "sanjay147/ubiquant-prediction-eda", "kernel_id": "24154907"}, {"ref": "nilsfl/lightning-fast-data-conversion-to-4gb", "kernel_id": "24640146"}, {"ref": "vgarshin/ubiquant-dnn-with-keras-tuner", "kernel_id": "24672372"}, {"ref": "leaphys/primrose-kaggle-investments", "kernel_id": "24291535"}, {"ref": "kyonaganuma/linear-regression-example-training", "kernel_id": "24228474"}, {"ref": "kyonaganuma/linear-regression-example-inference", "kernel_id": "24229458"}, {"ref": "kyonaganuma/submit-random-values", "kernel_id": "24206663"}, {"ref": "ilialar/ubiquant-eda-and-baseline", "kernel_id": "24002256"}, {"ref": "meli19/use-google-colab-for-tranning-a-quick-guide", "kernel_id": "24514762"}, {"ref": "meli19/target-and-time-id-eda-with-moving-averge", "kernel_id": "24644476"}, {"ref": "fangya/ubiquant-investment-mini-eda-lgbm-linreg", "kernel_id": "24603349"}, {"ref": "hengzheng/nn-mlp-5folds", "kernel_id": "24021290"}, {"ref": "hengzheng/nn-mlp-5folds-training", "kernel_id": "24022783"}, {"ref": "luhuihu/dnn-market-prediction-for-ubiquant", "kernel_id": "24254821"}, {"ref": "ragnar123/ubiquant-lgbm-training-baseline", "kernel_id": "24239327"}, {"ref": "ragnar123/ubiquant-ensemble-inference-pipeline", "kernel_id": "24288955"}, {"ref": "ragnar123/ubiquant-tf-inference-pipeline-fc", "kernel_id": "24137323"}, {"ref": "ragnar123/ubiquant-tf-training-baseline-with-tpu", "kernel_id": "24161601"}, {"ref": "ragnar123/ubiquant-tf-training-baseline-with-gpu", "kernel_id": "24188129"}, {"ref": "tarique7/ubiquant-eda-feature-explorations", "kernel_id": "24204957"}, {"ref": "wanngide/ubiquant-csv-arrow-parquet", "kernel_id": "24003574"}, {"ref": "dsptlp/mlclassificationtosql", "kernel_id": "24650308"}, {"ref": "hanifansari93/lightgbm-baseline", "kernel_id": "24215136"}, {"ref": "derrickmwiti/lightgbm-regression", "kernel_id": "24370592"}, {"ref": "derrickmwiti/regression-with-tensorflow", "kernel_id": "24596346"}, {"ref": "takamichitoda/ump-infer-lstm-pytorch", "kernel_id": "24357100"}, {"ref": "takamichitoda/ump-train-lstm-pytorch", "kernel_id": "24328260"}, {"ref": "takamichitoda/ump-get-lag-features-f0-f99", "kernel_id": "24148568"}, {"ref": "takamichitoda/ump-norm-lag-features", "kernel_id": "24170500"}, {"ref": "takamichitoda/ump-infer-1dcnn-by-using-lag-features", "kernel_id": "24171805"}, {"ref": "takamichitoda/ump-train-1dcnn-by-using-lag-features", "kernel_id": "24171360"}, {"ref": "takamichitoda/ump-infer-transformer", "kernel_id": "24230605"}, {"ref": "takamichitoda/ump-train-transformer-on-tpu", "kernel_id": "24228900"}, {"ref": "takamichitoda/ump-infer-1dcnn", "kernel_id": "24040633"}, {"ref": "takamichitoda/ump-train-1dcnn-on-tpu", "kernel_id": "24036929"}, {"ref": "takamichitoda/ump-train-csv-to-npy", "kernel_id": "24036317"}, {"ref": "ollibolli/lgb-pca-train-5-fold", "kernel_id": "24053840"}, {"ref": "ollibolli/5-fold-lgb-with-pca", "kernel_id": "24003798"}, {"ref": "chiranjeevbit/ubiquant-market-prediction-dnn-tuned-swish-afun", "kernel_id": "24646934"}, {"ref": "goweiting/submission-with-random-numbers", "kernel_id": "24660459"}, {"ref": "shival16/pyspark-eda-pyspark-ml", "kernel_id": "24457569"}, {"ref": "shival16/rapids-random-forest", "kernel_id": "24335079"}, {"ref": "marketneutral/robust-multi-target-pytorch", "kernel_id": "24745606"}, {"ref": "marketneutral/stacking-feature-importance", "kernel_id": "24678398"}, {"ref": "marketneutral/ubiquant-feature-exploration", "kernel_id": "24514942"}, {"ref": "marketneutral/ubiquant-target-eda-pca-magic", "kernel_id": "24350645"}, {"ref": "bturan19/simple-introduction-to-stacking", "kernel_id": "24494181"}, {"ref": "pirsqrd/ubiquant-competition-baseline", "kernel_id": "24137233"}, {"ref": "pirsqrd/exploration-and-feature-selection", "kernel_id": "24524634"}, {"ref": "ishaan45/csv-to-parquet", "kernel_id": "24258089"}, {"ref": "slawekbiel/fast-fastai-training", "kernel_id": "24213246"}, {"ref": "slawekbiel/fastai-inference", "kernel_id": "24259196"}, {"ref": "sayedathar11/ubiquant-lgbm-with-different-preprocessings", "kernel_id": "24144502"}, {"ref": "gopidurgaprasad/ubiquant-market-prediction-eda", "kernel_id": "24068091"}, {"ref": "gopidurgaprasad/upm-rapids-ai-svr-gpu", "kernel_id": "24037602"}, {"ref": "nicohrubec/lgb-baseline-with-groupkfold", "kernel_id": "24005290"}, {"ref": "nicohrubec/ridge-baseline-with-groupkfold", "kernel_id": "24003840"}, {"ref": "dhirajchandak04/market-prediction-xgboost", "kernel_id": "24805003"}, {"ref": "ayuraj/comparing-different-modeling-methods-w-w-b", "kernel_id": "24303839"}, {"ref": "ayuraj/ubiquant-eda", "kernel_id": "24007886"}, {"ref": "ayuraj/get-the-most-out-of-lightgbm-using-w-b", "kernel_id": "24056198"}, {"ref": "tianmin/interactive-dashboard-ubiquant-competition", "kernel_id": "24194344"}, {"ref": "tianmin/ubiquant-dataset-visualization-bokeh", "kernel_id": "24107020"}, {"ref": "zhouto10/notebook4842426d26", "kernel_id": "24723945"}, {"ref": "caneiro/ubi-first-look", "kernel_id": "24250557"}, {"ref": "monolith0456/ubiquant-dnn-tabnet-v2", "kernel_id": "24264416"}, {"ref": "stpeteishii/ubiquant-market-train-data-splitting", "kernel_id": "24015520"}, {"ref": "stpeteishii/ubiquant-market-visualize-importance", "kernel_id": "24022536"}, {"ref": "diedioskuren/infer-dnn-models-ensembled-with-pca", "kernel_id": "24885839"}, {"ref": "leonweninger/clean-pytorch-lightning-dnn-lb-0-144", "kernel_id": "24897656"}, {"ref": "osamurai/foreca", "kernel_id": "24613990"}, {"ref": "mugichaa/load-train-csv-with-datatable", "kernel_id": "24088556"}, {"ref": "pjt222/rubiquant-baresubmission", "kernel_id": "24381421"}, {"ref": "pjt222/rubiquant-basic", "kernel_id": "24334163"}, {"ref": "skostis/simple-svm", "kernel_id": "24779280"}, {"ref": "ycca1018/ubiquant-market-prediction-startereda-jp-en", "kernel_id": "24086120"}, {"ref": "valleyzw/ubiquant-lgbm-baseline", "kernel_id": "24023018"}, {"ref": "valleyzw/ubiquant-lgbm-optimization", "kernel_id": "24059806"}, {"ref": "mpwolke/investments-and-time-horizon", "kernel_id": "24009279"}, {"ref": "rupakroy/ubiquant-market-prediction", "kernel_id": "24361788"}, {"ref": "seraphwedd18/train-data-parquet", "kernel_id": "24041879"}, {"ref": "jaycezhao/ubiquant-market-prediction-jayce", "kernel_id": "24231751"}, {"ref": "michaelgeorgerasmy/ubiquant-market-prediction-eda", "kernel_id": "24130755"}, {"ref": "giobbu/feat-pca", "kernel_id": "24395108"}, {"ref": "blazer007/ubiquant-nn-mlp-5folds", "kernel_id": "24042288"}, {"ref": "wangqihanginthesky/baseline-tabnet", "kernel_id": "24116026"}, {"ref": "hasanbasriakcay/ubiquan-market-preds-modeling-lr-ridge-lgbm", "kernel_id": "24116217"}, {"ref": "hasanbasriakcay/ubiquant-market-preds-dnn-find-best-learning-rate", "kernel_id": "24821593"}, {"ref": "mmmarchetti/ubiquant-market-prediction-dnn", "kernel_id": "24211710"}, {"ref": "kausheeki01/kausheeki-s-ubiquant-eda", "kernel_id": "24253800"}, {"ref": "kausheeki01/ubiquant-simple-lgbm-to-remove-outliers-en-jp", "kernel_id": "24612538"}, {"ref": "sohailshaik272/eda-for-ubiquant-market-prediction", "kernel_id": "24622074"}, {"ref": "salmaneunus/ubiquant-market-prediction-4", "kernel_id": "24514242"}, {"ref": "salmaneunus/ubiquant-competition-eda", "kernel_id": "24042925"}, {"ref": "sakaisakai/why-std-0-reduce-the-dataset-to-1-8g", "kernel_id": "24821010"}, {"ref": "joel0495/dataset-ram-usage-loading-time-test", "kernel_id": "24115924"}, {"ref": "aroonima12/ubiquant-prediction-with-dnn", "kernel_id": "24916705"}, {"ref": "mostafaibrahim17/lgbm-2", "kernel_id": "24468138"}, {"ref": "mostafaibrahim17/xgboost-3", "kernel_id": "24414104"}, {"ref": "mostafaibrahim17/lgbm-1", "kernel_id": "24398651"}, {"ref": "pjbhaumik/ubiquant-submission-pipeline", "kernel_id": "24139233"}, {"ref": "pjbhaumik/structured-data-regression-training-pipeline", "kernel_id": "24114111"}, {"ref": "pjbhaumik/regression-using-pycaret", "kernel_id": "24112471"}, {"ref": "pjbhaumik/flexible-ensembling-pipeline", "kernel_id": "24391803"}, {"ref": "morenovanton/0-141-splitting-5fold-3dnn-ubiquantprediction", "kernel_id": "24577385"}, {"ref": "morenovanton/ubiquant-market-prediction-moving-average-dnn", "kernel_id": "24907968"}, {"ref": "morenovanton/feature-exploration-analytics-ubiquant-market", "kernel_id": "24762208"}, {"ref": "morenovanton/ubiquant-market-prediction-dnn", "kernel_id": "24678298"}, {"ref": "igorkf/ubiquant-eda-cumulated-series", "kernel_id": "24168221"}, {"ref": "igorkf/ubiquant-simple-linear-regression-baseline", "kernel_id": "24077883"}, {"ref": "igorkf/ubiquant-dnn-with-pca-and-dropout-layers", "kernel_id": "24127511"}, {"ref": "columbia2131/ubiquant-training-google-colaboratory-training", "kernel_id": "24043272"}, {"ref": "columbia2131/ubiquant-inference-google-colaboratory-training", "kernel_id": "24045331"}, {"ref": "viktorbarbarich/linear-regression-baseline", "kernel_id": "24359581"}, {"ref": "melanie7744/understanding-the-submission-api-for-newbies", "kernel_id": "24559493"}, {"ref": "melanie7744/using-lightgbm-for-feature-selection", "kernel_id": "24666086"}, {"ref": "lucasmorin/umap-data-analysis-applications", "kernel_id": "24287234"}, {"ref": "lucasmorin/complete-feature-exploration-strategy-2140", "kernel_id": "24055415"}, {"ref": "lucasmorin/complete-feature-exploration", "kernel_id": "24054624"}, {"ref": "lucasmorin/easy-time-series-cv-to-feather", "kernel_id": "24105706"}, {"ref": "lucasmorin/time-x-strategy-eda", "kernel_id": "24072702"}, {"ref": "lucasmorin/weird-patterns-in-unique-values-across-time-ids", "kernel_id": "24070091"}, {"ref": "lucasmorin/don-t-mind-me-just-probing-the-lb", "kernel_id": "24397640"}, {"ref": "tensorchoko/ubiquant-market-simple-train", "kernel_id": "24383977"}, {"ref": "tensorchoko/ubiquant-market-super-simple-jp-en", "kernel_id": "24305705"}, {"ref": "tensorchoko/ubiquant-market-simple-inference", "kernel_id": "24444958"}, {"ref": "tensorchoko/ubiquant-market-eda-jp-en", "kernel_id": "24023266"}, {"ref": "sytuannguyen/lightgbm-catboost", "kernel_id": "24068009"}, {"ref": "sytuannguyen/ubiquant-data-correlation", "kernel_id": "24000436"}, {"ref": "sytuannguyen/ubiquant-market-prediction-eda", "kernel_id": "24006040"}, {"ref": "sytuannguyen/ubiquant-the-simplest-baseline-ever", "kernel_id": "24005603"}, {"ref": "sytuannguyen/ubiquant-model-selection-pycaret", "kernel_id": "24026327"}, {"ref": "sytuannguyen/ubiquant-with-lightgbm", "kernel_id": "24019000"}, {"ref": "sytuannguyen/ubiquant-data-preparation", "kernel_id": "24046437"}, {"ref": "sytuannguyen/ump-experiments-with-dnn", "kernel_id": "24146319"}, {"ref": "sytuannguyen/ubiquant-linear-regression-with-cv", "kernel_id": "24216299"}, {"ref": "kartikkadian/fast-fastai-training", "kernel_id": "24278100"}, {"ref": "drzhuzhe/ubiquant-market-prediction-eda", "kernel_id": "24726514"}, {"ref": "drzhuzhe/ump-transformer", "kernel_id": "24826191"}, {"ref": "drzhuzhe/ump-data-preprocess", "kernel_id": "24824724"}, {"ref": "drzhuzhe/ump-infer-transformer", "kernel_id": "24841214"}, {"ref": "binaryhumble/notebook8697720b19", "kernel_id": "24226106"}, {"ref": "huyuet/ubiquant-market-prediction-dnn", "kernel_id": "24338583"}, {"ref": "lonnieqin/ubiquant-market-prediction-on-tpu", "kernel_id": "24243357"}, {"ref": "lonnieqin/create-tf-record-for-ump-dataset", "kernel_id": "24226012"}, {"ref": "lonnieqin/ump-create-pickle-dataset", "kernel_id": "24098151"}, {"ref": "lonnieqin/ubiquant-market-prediction-with-dnn", "kernel_id": "24106169"}, {"ref": "lonnieqin/ump-tf-record-combinatorialpurgedgroupkfold", "kernel_id": "24946780"}, {"ref": "yuanzhezhou/inference-ump-pca-prediction", "kernel_id": "24366376"}, {"ref": "datafan07/ubiquant-market-prediction-what-do-we-have-here", "kernel_id": "24055020"}, {"ref": "ishandutta/understanding-lightgbm-in-complete-depth", "kernel_id": "24244325"}, {"ref": "imokuri/time-series-api-emulator", "kernel_id": "24238362"}, {"ref": "bastiendelaval/analyse-oc", "kernel_id": "24873643"}, {"ref": "avijitduttta/xgboost-basicml-solution", "kernel_id": "24317616"}, {"ref": "avijitduttta/ubiquant-dnn-prediction", "kernel_id": "24904932"}, {"ref": "ashwinm500/0-ubiq-feather", "kernel_id": "24768548"}, {"ref": "toulio/fork-of-10k-rfecv-lr-linearregression", "kernel_id": "24769244"}, {"ref": "danielkorth/ubiquant-fastai-autoencoder-baseline", "kernel_id": "24650569"}, {"ref": "danielkorth/ubiquant-fastai-baseline", "kernel_id": "24030385"}, {"ref": "daverattan/uniquant-market-prediction-nb-05", "kernel_id": "24529827"}, {"ref": "utcarshagrawal/ubiquant-exploration-baseline-w-shap", "kernel_id": "24239822"}, {"ref": "bhavinmoriya/ubiquant-eda", "kernel_id": "24804595"}, {"ref": "frankfletcher/notebookb2775b28cd", "kernel_id": "24721500"}, {"ref": "yoshikuwano/fast-read-data-and-memory-optimization", "kernel_id": "24034884"}, {"ref": "yoshikuwano/eda-and-train-by-rapids-and-tabnet", "kernel_id": "24865640"}, {"ref": "muhammadammarjamshed/ump-train-1dcnn-on-tpu", "kernel_id": "24262118"}, {"ref": "eduardogutierrez/ubiquant-modeling", "kernel_id": "24481356"}, {"ref": "eduardogutierrez/ubiquant-market-eda", "kernel_id": "24467964"}, {"ref": "venkatkumar001/ump-baseline-lgbm", "kernel_id": "24070800"}, {"ref": "shaukathussain/ubiquant-market-prediction-shaukat", "kernel_id": "24537154"}, {"ref": "miingkang/groupkfold-time-id-lgbm-feat-parquet", "kernel_id": "24019771"}, {"ref": "miingkang/ml-from-the-beginning-to-the-end-for-newbies", "kernel_id": "24701174"}, {"ref": "leolu1998/ump-dnn-corrloss-5fold-inference", "kernel_id": "24144269"}, {"ref": "leolu1998/ump-tabnet-baseline-training-inference", "kernel_id": "24060117"}, {"ref": "leolu1998/ump-inference-lgbm-nn", "kernel_id": "24010385"}, {"ref": "leolu1998/ubiquant-nn-baseline-train-infer", "kernel_id": "24002670"}, {"ref": "ionanicleoid/intro-to-comparing-ml-models-lgbm-tuning", "kernel_id": "24439236"}, {"ref": "gchana/notebook72e4be9c77", "kernel_id": "24433284"}, {"ref": "thomasmeiner/naive-model-overview-using-automl-on-micro-sample", "kernel_id": "24291108"}, {"ref": "thomasmeiner/rapids-illegal-memory-access-bug", "kernel_id": "24327487"}, {"ref": "thomasmeiner/testing-vowpal-wabbit-with-pandas-chunk-loading", "kernel_id": "24411225"}, {"ref": "shamiaaftab/ubiquant-lgbm-simple-baseline-test-purpose-only", "kernel_id": "24187424"}, {"ref": "shamiaaftab/ubiquant-eda", "kernel_id": "24231417"}, {"ref": "shamiaaftab/ubiquant-market-prediction-dnn", "kernel_id": "24325445"}, {"ref": "teratai/simmple-eda", "kernel_id": "24064226"}, {"ref": "elindbergs/ubiquant-market-prediction-eda", "kernel_id": "24520060"}, {"ref": "haiyunhu/ubiquant-market-prediction-with-dnn", "kernel_id": "24116606"}, {"ref": "abaojiang/ubiquant-market-prediction-a-simple-eda", "kernel_id": "24013237"}, {"ref": "abaojiang/spatial-dependency-among-return-rate-series", "kernel_id": "24051891"}, {"ref": "yus002/ubiquant-read-file-in-pyspark", "kernel_id": "24010648"}, {"ref": "tarlannazarov/ubiquant-tf-keras-baseline", "kernel_id": "24071867"}, {"ref": "tarlannazarov/ensemble-xgboost-and-random-forest-ubiquant", "kernel_id": "24234847"}, {"ref": "tarlannazarov/ubiquant-xgboost-starter", "kernel_id": "24213090"}, {"ref": "tarlannazarov/ubiquant-cuml-random-forest-first-try", "kernel_id": "24179858"}, {"ref": "pythonash/end-to-end-simple-and-powerful-dnn-with-leakyrelu", "kernel_id": "24740357"}, {"ref": "pythonash/leakyrelu", "kernel_id": "24725555"}, {"ref": "kartushovdanil/the-most-advanced-analytics", "kernel_id": "24050210"}, {"ref": "nvithayapale/simple-lgbm-with-custom-metric-time-split-cv", "kernel_id": "24978507"}, {"ref": "librauee/infer-dnn-model-ensemble", "kernel_id": "24719940"}, {"ref": "librauee/train-dnn-v2-10fold", "kernel_id": "24701014"}, {"ref": "librauee/dnn-base", "kernel_id": "24676887"}, {"ref": "ravishah1/ubiquant-rnn-training-pipeline-and-inference", "kernel_id": "24050119"}, {"ref": "arijitbanerjee009/ubiquant-market-predictive-analysis", "kernel_id": "24395005"}, {"ref": "isoe38/ump-svr-with-gpu-baseline", "kernel_id": "24726284"}, {"ref": "isoe38/ump-pytorch-lightning-baseline", "kernel_id": "24723358"}, {"ref": "yama09/eda-target-analysis", "kernel_id": "24722615"}, {"ref": "devarshshah7796/eda-dss", "kernel_id": "24351073"}, {"ref": "minglu2021/doubble-model-ubiquant-dnn-tabnet-1-50", "kernel_id": "24719701"}, {"ref": "minglu2021/fork-of-ubiquant-dnn-tabnet-v2-f7b256-f4e235", "kernel_id": "24728759"}, {"ref": "matthieubritoantunes/ubiquant-market-prediction-data-exploration", "kernel_id": "24234364"}, {"ref": "azazurrehmanbutt/ubiquent-market-predictions", "kernel_id": "24137596"}, {"ref": "normalpeople/fast-data-loading-and-low-mem-with-parquet-files", "kernel_id": "24021899"}, {"ref": "yueshu123/preprocess", "kernel_id": "24146807"}, {"ref": "mujrush/ump-shap-starter", "kernel_id": "24337484"}, {"ref": "mujrush/ump-automl-pycaret-starter", "kernel_id": "24273500"}, {"ref": "gopalbhattrai/works-tf2-keras-compression-eda-dataloader", "kernel_id": "24783655"}, {"ref": "ammarsayedtaha/upiquant-using-lgbm", "kernel_id": "24647459"}, {"ref": "jiahauc/ubiqunt-eda-linearregression", "kernel_id": "24791570"}, {"ref": "huangyueyu/model-stacking-training", "kernel_id": "24803386"}, {"ref": "huangyueyu/ubiquant-baseline", "kernel_id": "24336207"}, {"ref": "amermhatem/ubiquant-with-lgbm", "kernel_id": "24001247"}, {"ref": "jillanisofttech/ubiquant-market-prediction-dnn-algo", "kernel_id": "24132668"}, {"ref": "jellyz9/private-dataset-error-analysis", "kernel_id": "24281478"}, {"ref": "guyarieli17/lobster", "kernel_id": "24396210"}, {"ref": "rhythmcam/ubiquant-fast-ai-3tier-code-style", "kernel_id": "24232511"}, {"ref": "rhythmcam/dask-basic-read-huge-csv-quickly-1-second", "kernel_id": "24063997"}, {"ref": "rhythmcam/pandas-basic-load-memory-reduced-dataframe", "kernel_id": "24086486"}, {"ref": "rhythmcam/funciton-csv-to-parquet", "kernel_id": "24062083"}, {"ref": "akter05/market-prediction-and-eda", "kernel_id": "24201923"}, {"ref": "likearooster/just-return-moving-average", "kernel_id": "24329054"}, {"ref": "jagofc/ubiquant-utils", "kernel_id": "24399653"}, {"ref": "jagofc/detailed-introduction-to-the-ubiquant-api-emulator", "kernel_id": "24408635"}, {"ref": "jagofc/7-interactive-plots-to-get-things-started", "kernel_id": "24374264"}, {"ref": "jagofc/submission-reprex-r-2", "kernel_id": "24439126"}, {"ref": "jagofc/submission-reprex-r", "kernel_id": "24434573"}, {"ref": "jagofc/nothing-to-see-here-probing-the-lb", "kernel_id": "24534168"}, {"ref": "douglasobeng/ubiquantico1", "kernel_id": "24934001"}, {"ref": "junjitakeshima/ubiquant-simple-lgbm-removing-outliers-en-jp", "kernel_id": "24279119"}, {"ref": "farcii/eda-asset-wise-target-autocorrelation", "kernel_id": "24210031"}, {"ref": "evgenigeorg/ubiquant-market-prediction-with-mlr3-in-r", "kernel_id": "24128790"}, {"ref": "leejunseok97/ubiquant-market-prediction-dnn", "kernel_id": "24017383"}, {"ref": "leejunseok97/ubiquant-market-prediction-lightgbm", "kernel_id": "24635995"}, {"ref": "yazanmajzob/cat-boost", "kernel_id": "24021959"}, {"ref": "nirmalyakumarmohanty/nkm-04", "kernel_id": "24040887"}, {"ref": "lakhankumawat/ubiquant-market-prediction-data-loading-and-eda", "kernel_id": "24065181"}, {"ref": "derrick01/ubiquant-eda-mi-lgbm-preparation-lb-0-133", "kernel_id": "24806333"}, {"ref": "derrick01/ubiquant-mi-xgboost-train", "kernel_id": "24198935"}, {"ref": "derrick01/ubiquant-mi-xgb-inference", "kernel_id": "24256706"}, {"ref": "kryzhikov/nn-mlp-5folds-training", "kernel_id": "24456514"}, {"ref": "whitecat0022/ubiquant-market-prediction-sklearn-nn", "kernel_id": "24046861"}, {"ref": "whitecat0022/ubiquant-market-prediction-keras-nn", "kernel_id": "24045934"}, {"ref": "seholeee/eda-practice", "kernel_id": "24176621"}, {"ref": "camilomx/parquet-format-quickstart", "kernel_id": "24775687"}, {"ref": "verifaiai/verifai-analyzer", "kernel_id": "24061482"}, {"ref": "yaswanthgali/catboost", "kernel_id": "24255004"}, {"ref": "sahil112/finally-a-fast-pytorch-model", "kernel_id": "24838798"}, {"ref": "sahil112/better-easy-pytorch-competitive", "kernel_id": "24804481"}, {"ref": "sahil112/whyonlykeras-easy-pytorch-competitive-dnn", "kernel_id": "24797841"}, {"ref": "sahil112/simple-modifiable-neural-network-starter-nb", "kernel_id": "24580086"}, {"ref": "jiprud/simple-light-gbm", "kernel_id": "24388115"}, {"ref": "jiprud/rookie-level-submission-no-ml", "kernel_id": "24319061"}, {"ref": "zhengli17/testforcompetition", "kernel_id": "24196441"}, {"ref": "edwardakalarrywelch/datatable-memory-reduction", "kernel_id": "24060928"}, {"ref": "edwardakalarrywelch/ubiquant-competition-eda", "kernel_id": "24682894"}, {"ref": "shashimo/ubiquant-eda-with-pandas-profiling", "kernel_id": "24280560"}, {"ref": "shashimo/ubiquant-how-to-make-pickle-file", "kernel_id": "24149577"}, {"ref": "shashimo/ubiquant-lgbm-simple-baseline", "kernel_id": "24021504"}, {"ref": "shashimo/ubiquant-very-simple-lgbm", "kernel_id": "24600089"}, {"ref": "danielreuter/ubiquant-competition-eda", "kernel_id": "24345305"}, {"ref": "lunapandachan/ubiquant-eda-supplement", "kernel_id": "24673291"}, {"ref": "durgeshrao9993/market-prediction-analysis", "kernel_id": "24442078"}, {"ref": "almahmudalmamun/ubiquant-market-prediction-with-dnn-relu", "kernel_id": "24838678"}, {"ref": "breadkaggle/ubiquant-code-test", "kernel_id": "24234279"}, {"ref": "rahulkumarvarma/ubiquant-market-analysis", "kernel_id": "24868908"}, {"ref": "jakubslavicek/notebook-ubiquant-xgb", "kernel_id": "24679869"}, {"ref": "zwartfreak/let-s-predict-ubiquant-s-future-with-dnn", "kernel_id": "24309783"}, {"ref": "mk1001/eda-f-0-299-histogram", "kernel_id": "24942835"}, {"ref": "harleychan/tcn-model-for-ubiquant-market-prediction", "kernel_id": "24758358"}, {"ref": "alexppv/ubiquant-market-prediction-in-progress-appv", "kernel_id": "24375840"}, {"ref": "tmrtj9999/number-of-investment-id-as-a-feature", "kernel_id": "24751088"}, {"ref": "tmrtj9999/regime-classification-by-k-means", "kernel_id": "24662269"}, {"ref": "tmrtj9999/feature-engineering-idea", "kernel_id": "24641921"}, {"ref": "tmrtj9999/simple-dae-denoising-autoencoder", "kernel_id": "24691581"}, {"ref": "iiglace/ubiquant-lgbm-notebook", "kernel_id": "24117325"}, {"ref": "iiglace/ubiquant-with-lightgbm", "kernel_id": "24119259"}, {"ref": "junqiuan/dnn-with-leakyrelu", "kernel_id": "24820852"}, {"ref": "rohan1506/optimizing-pandas-like-a-pro", "kernel_id": "24438047"}, {"ref": "ismailbaris/exploration-of-target-distribution-and-invest-id", "kernel_id": "24573861"}, {"ref": "mmisty/ubiquant-eda-python", "kernel_id": "24119676"}, {"ref": "zhenzongzhou/lstm-try-1", "kernel_id": "24838234"}, {"ref": "zhenzongzhou/train-lstm-10fold-0-5folds", "kernel_id": "24897138"}, {"ref": "qileyan/project", "kernel_id": "24857844"}, {"ref": "xinyuuliu/autoencoder", "kernel_id": "24826971"}, {"ref": "tinatinaye/tabnet-inference", "kernel_id": "24884785"}, {"ref": "nulldata/pandas-read-csv-speed-compare-based-on-data-type", "kernel_id": "25208820"}, {"ref": "freaxmind/efficient-fold-creation-using-python-slices", "kernel_id": "25003957"}, {"ref": "aemulcahy/ump-pytorch-resnet-training-inference", "kernel_id": "25884046"}, {"ref": "loicge/lgbm-baseline-with-optuna-parameters-0-1366", "kernel_id": "25645758"}, {"ref": "billqi/k-fold-dnn", "kernel_id": "25364613"}, {"ref": "billqi/convert-combinatorialpurgedgroupkfold-to-npy-16bit", "kernel_id": "25328848"}, {"ref": "billqi/marketbert-inference", "kernel_id": "25293432"}, {"ref": "siahuat/pytorch-template-transformer-data-augmentation", "kernel_id": "25196921"}, {"ref": "siahuat/memory-transformer-intra-inter-time-context", "kernel_id": "25394494"}, {"ref": "agenlu/study-investmentid-over-time", "kernel_id": "25688314"}, {"ref": "ranamahmud/fast-data-load-pandas-ubiquant-market-prediction", "kernel_id": "25332338"}, {"ref": "jnegrini/ubiquant-eda", "kernel_id": "25678750"}, {"ref": "jmiloser/ubiquant-pycaret-optuna", "kernel_id": "25955162"}, {"ref": "jmiloser/ubiquant-pycaret-blend-optuna-sub", "kernel_id": "25979677"}, {"ref": "goweiting/prediction-with-trained-models-in-rllib", "kernel_id": "25153110"}, {"ref": "martins0n/ubiquant-eda-toy-predictions-etna", "kernel_id": "25652108"}, {"ref": "marketneutral/frufs-unsupervised-selection", "kernel_id": "25625329"}, {"ref": "marketneutral/cvxpy-feature-neutralization", "kernel_id": "25023133"}, {"ref": "marketneutral/ump-adversarial-validation", "kernel_id": "25209257"}, {"ref": "kaggleyaro/analysis-based-on-linear-relationship-part-ii", "kernel_id": "25821244"}, {"ref": "kaggleyaro/analysis-based-on-linear-relationship-part-i", "kernel_id": "25792085"}, {"ref": "zlhaaaph/ubiquant-zlh-0-159-solution", "kernel_id": "25321830"}, {"ref": "liyangchenrice/unstable-feature-distributions", "kernel_id": "25622225"}, {"ref": "yaoooyaooo/ubiquant-market-prediction-what-do-we-have-here", "kernel_id": "25427330"}, {"ref": "jazivxt/bitcoin-or-alt-maxi-code-fun", "kernel_id": "25965928"}, {"ref": "rabbani18/ubiquant-pca-trainandtest", "kernel_id": "25421339"}, {"ref": "tungbinhthuong/ubiquant-market-prediction-eda", "kernel_id": "25185086"}, {"ref": "manwithaflower/simple-training-inference-5-folds", "kernel_id": "25964087"}, {"ref": "lys620/ubiquant-automated-ml-modeling", "kernel_id": "25914395"}, {"ref": "petersk20/17th-place-solution", "kernel_id": "25957790"}, {"ref": "diedioskuren/ubiquant-more-models-ensemble", "kernel_id": "25800664"}, {"ref": "rachanabisht/ubiquant-time-series-eda", "kernel_id": "25422406"}, {"ref": "trancuong59196/cuongtm27-train-by-rapids-and-tabnet", "kernel_id": "25098364"}, {"ref": "skostis/xgboost-with-clustering-different-model-cluster", "kernel_id": "25229774"}, {"ref": "renatoreggiani/dnn-model-ensemble-weights-adjusted", "kernel_id": "25694364"}, {"ref": "danielee33/orie-4999", "kernel_id": "25442969"}, {"ref": "zcr8888/a-trick-random-mask", "kernel_id": "25394957"}, {"ref": "jiangshaoyin/clip-5", "kernel_id": "25923016"}, {"ref": "kausheeki01/dnn-basicml-solution", "kernel_id": "25182193"}, {"ref": "kausheeki01/ubiquant-market-prediction-dnn", "kernel_id": "25170683"}, {"ref": "kausheeki01/ubiquant-rapids-random-forest-svm", "kernel_id": "25118984"}, {"ref": "beatwad/ump-lgbm-train-optuna-optimize-stacking", "kernel_id": "25139829"}, {"ref": "subbhashit/ubiquant-market-prediction", "kernel_id": "25293457"}, {"ref": "xiaoyaojiushao/xyjs-cnn", "kernel_id": "25897336"}, {"ref": "aroonima12/simple-prediction-with-dnn-prelu", "kernel_id": "25660179"}, {"ref": "hhgami/predict-z-scores-of-targets-by-lightgbm", "kernel_id": "25784321"}, {"ref": "hhgami/ump-lightgbm-ranker", "kernel_id": "25093895"}, {"ref": "hhgami/predict-and-use-target-shift-1-as-a-feature", "kernel_id": "25083836"}, {"ref": "pjbhaumik/lstm-pipeline", "kernel_id": "25169340"}, {"ref": "lucasmorin/handling-supplemental-train-data", "kernel_id": "25895910"}, {"ref": "yzhu8150/split-dataset", "kernel_id": "25748174"}, {"ref": "ghostcxs/prediction-including-spatial-info-with-conv1d", "kernel_id": "25422743"}, {"ref": "lonnieqin/ump-merge-train-data-and-supplemental-data", "kernel_id": "25881534"}, {"ref": "imokuri/ump-catch-everything", "kernel_id": "25984985"}, {"ref": "nataliasz/ump-ensemble-with-time-id", "kernel_id": "25973431"}, {"ref": "nataliasz/ump-multimodal-nn-with-time-id", "kernel_id": "25911322"}, {"ref": "l0r1knl/interactive-plot-ump", "kernel_id": "25593105"}, {"ref": "oroszbence/lstm-testtry-no1", "kernel_id": "25997401"}, {"ref": "ohiroshi/ubiquant-contest-notebook-xg-lgb-5f", "kernel_id": "25969343"}, {"ref": "maximurbaev/split-pickle", "kernel_id": "25971575"}, {"ref": "rebecca0914/ubiquant-prediction", "kernel_id": "25465589"}, {"ref": "ndl17020871/notebook0a97836bc5", "kernel_id": "25148830"}, {"ref": "ernestbeardlypani/ubiquant-competition-ernest", "kernel_id": "25997579"}, {"ref": "anastasiyamikheeva/ump-eda-dnn", "kernel_id": "25216228"}, {"ref": "pythonash/stochastic-approach-for-nn-the-short-report", "kernel_id": "25178919"}, {"ref": "chengskin/dnn-model-ensemble-of-ubiquant", "kernel_id": "25685307"}, {"ref": "chengskin/ubiquant-market-prediction-with-dnn", "kernel_id": "25614402"}, {"ref": "snvquang/ubiquant-split-dataset", "kernel_id": "25435427"}, {"ref": "hykhhijk/ann-baseline", "kernel_id": "25799886"}, {"ref": "yuuniekiri/sequential-cv-strategy-with-fastai-tabularmodel", "kernel_id": "25116562"}, {"ref": "jillanisofttech/ubiquant-market-prediction-model-ensemble", "kernel_id": "25919810"}, {"ref": "hengwdai/grn-featureselection-autox", "kernel_id": "25171919"}, {"ref": "shigeeeru/prediction-including-spatial-info-with-conv1d", "kernel_id": "25408640"}, {"ref": "shigeeeru/add-model-ubiquant-model-ensemble", "kernel_id": "25856830"}, {"ref": "shigeeeru/ump-conv1d-with-gaussian-noise-train", "kernel_id": "25940173"}, {"ref": "shigeeeru/ump-prediction-with-conv2d", "kernel_id": "25619858"}, {"ref": "rhythmcam/ubiquant-market-feature-importance", "kernel_id": "25765204"}, {"ref": "jagofc/serial-correlation-shapes", "kernel_id": "25434282"}, {"ref": "jagofc/zoo-of-tcfs", "kernel_id": "25122055"}, {"ref": "douglasobeng/lightgbm-for-ubiquant-market-prediction", "kernel_id": "25058008"}, {"ref": "tuhmajumder/ubiquant-market-prediction-ml-ts-forecasting", "kernel_id": "25344884"}, {"ref": "larochemf/ubiquant-low-memory-use-be-careful", "kernel_id": "25713073"}, {"ref": "moonzhao666/uniquant1", "kernel_id": "25507763"}, {"ref": "akshataarunshirodker/ubiquant-lgbmregressor", "kernel_id": "25452566"}, {"ref": "aromaticcoconut231/notebook5028647a43", "kernel_id": "25661676"}, {"ref": "hazemelmahy/jhhhbnbj", "kernel_id": "25926514"}, {"ref": "cyrillblache/h-m-create-candidate-articles", "kernel_id": "25238399"}, {"ref": "shashimo/ubiquant-lgbm-time-split-cv-pearsoncc", "kernel_id": "25047769"}, {"ref": "danielreuter/ubiquant-model-testing-old", "kernel_id": "25621059"}, {"ref": "lunapandachan/ubiquant-dnn-for-suplement", "kernel_id": "25322011"}, {"ref": "lunapandachan/ubiquant-dnn-ensemble-infer", "kernel_id": "25430377"}, {"ref": "voidfly/ubiquant-lgbm-baseline", "kernel_id": "25552150"}, {"ref": "neerajjaykar/notebook37bfb724a2", "kernel_id": "25085345"}, {"ref": "yongfeizhu/retinaseg-patches", "kernel_id": "25683857"}, {"ref": "dariusmed/fork-of-ump-infer-transformer", "kernel_id": "25696923"}, {"ref": "dariusmed/fork-of-ump-infer-transformer-d4be63", "kernel_id": "25697206"}, {"ref": "tc0000/tabtransformer-simple-training", "kernel_id": "25309138"}, {"ref": "tc0000/tabtransformer-solution", "kernel_id": "25261766"}, {"ref": "dnyaneshwalwadkar/eda-nn-ump-prediction-with-higher-score", "kernel_id": "25652498"}, {"ref": "dnyaneshwalwadkar/predictions-with-top-features-using-tensorflow", "kernel_id": "25674316"}, {"ref": "kosukewakita/eda-target-analysis-jp", "kernel_id": "25764471"}, {"ref": "xdotzhang/ubiquant-eda", "kernel_id": "25928546"}, {"ref": "xdotzhang/ubiquant-submission", "kernel_id": "25339154"}, {"ref": "bitguber/pretrained-ubi-model", "kernel_id": "25556900"}, {"ref": "mk1001/eda-f-0-299-kmeans-clustering", "kernel_id": "25290510"}, {"ref": "mk1001/summary-of-code-discussion-referred-to-by-beginner", "kernel_id": "25200198"}, {"ref": "pylajitendra/ubi-quant-prediction-s-in-future-market", "kernel_id": "25682632"}, {"ref": "tmrtj9999/number-of-time-ids-by-investment-id", "kernel_id": "25537427"}, {"ref": "tmrtj9999/regime-classification-with-aggregated-features", "kernel_id": "25626932"}, {"ref": "tmrtj9999/number-of-investment-ids-feature-engineering", "kernel_id": "25591368"}, {"ref": "tmrtj9999/new-in-the-universe", "kernel_id": "25487862"}, {"ref": "zhenzongzhou/ubiquant-model-ensemble-3d9c6c", "kernel_id": "25851312"}, {"ref": "okanzkaya/eda-submission-api", "kernel_id": "25795307"}, {"ref": "yehjinshin/ubiquant-scaling-parquet", "kernel_id": "25084529"}, {"ref": "franziskavonalbedyll/ubiquant-market-prediction", "kernel_id": "25260519"}, {"ref": "zehuiluo/data-2022-3-12", "kernel_id": "25294889"}, {"ref": "thatplayboy/ubiquant", "kernel_id": "25376665"}, {"ref": "cjamplunc/ubiquant-build-tensor-data", "kernel_id": "25934473"}, {"ref": "cjamplunc/ubiquant-csv-to-pickle", "kernel_id": "25922920"}, {"ref": "tsomoriri/notebook93fd1eb5b5", "kernel_id": "25969406"}, {"ref": "mavillan/ump-finetune-predict-lgbm-linear", "kernel_id": "26393449"}, {"ref": "sohier/reading-ubiquant-train-csv-in-a-notebook", "kernel_id": "26030878"}, {"ref": "markbquant/ubiquant-cumsum-returns-and-sliding-windows", "kernel_id": "26307877"}, {"ref": "mansasha/solution1", "kernel_id": "26231171"}, {"ref": "mythrex/efficient-pytorch-dataset-and-dataloader", "kernel_id": "26103904"}, {"ref": "tanushka816/model-ensemble-ubiquant-533ada", "kernel_id": "26166114"}, {"ref": "tanushka816/dnn-model-ensemble-with-diff-params", "kernel_id": "26005170"}, {"ref": "kliu1892/lgbt-model-ensemble-public", "kernel_id": "26320424"}, {"ref": "andy8744/beginner-keras-end-to-end-solution-usingnbeats", "kernel_id": "26052370"}, {"ref": "yuanzhezhou/simple-post-process", "kernel_id": "26383469"}, {"ref": "abhisekdash37/ubiquant-cur-feature-without-inv-id-no-preprocess", "kernel_id": "26440654"}, {"ref": "abhisekdash37/ubiquant-submission-attempt", "kernel_id": "26441479"}, {"ref": "oroszbence/ump-train-lstm-pytorch", "kernel_id": "26081565"}, {"ref": "oroszbence/ubiquant-rnn-training-pipeline-and-inference", "kernel_id": "26081626"}, {"ref": "herbertvente/tft-with-pytorch-for-ubiquant-competition", "kernel_id": "26433846"}, {"ref": "nsff591/popular-ml-nn-cnn-rnn-model-code-snippets", "kernel_id": "26001763"}, {"ref": "conquerv/ump-conv2d-training", "kernel_id": "26365661"}, {"ref": "pear2jam/ubiquantmp-pytorch-ensemble", "kernel_id": "26089857"}, {"ref": "kumarrp/keras-end-to-end-solution-usingnbeats", "kernel_id": "26442343"}, {"ref": "hykhhijk/using-pearsion-correlation-as-loss", "kernel_id": "26258024"}, {"ref": "jiya7316/ubiquant-market-prediction-swish-and-tanh", "kernel_id": "26119841"}, {"ref": "nirmalyakumarmohanty/nkm-ubiquant-1", "kernel_id": "26786624"}, {"ref": "rizkykiky/cnn-train", "kernel_id": "26334014"}, {"ref": "rizkykiky/ump-cnn-infer", "kernel_id": "26331218"}, {"ref": "rizkykiky/cnn-just-feature", "kernel_id": "26363009"}, {"ref": "larochemf/eda-pca-linearregression", "kernel_id": "26073886"}, {"ref": "chandraprajapati/dnn-features-corr", "kernel_id": "26315672"}, {"ref": "chandraprajapati/ubiquant-market-dnn-ensemble", "kernel_id": "26417541"}, {"ref": "chandraprajapati/uqibuant-market-dnn", "kernel_id": "26239882"}, {"ref": "chandraprajapati/ubiquant-market-regression", "kernel_id": "26016471"}, {"ref": "hussain25/dnn-model-ensemble-weights-adjusted", "kernel_id": "26186920"}, {"ref": "vmuzhichenko/ubiquant-inference-knn-encoder-58th-place", "kernel_id": "26399185"}, {"ref": "danielreuter/ubiquant-model-testing", "kernel_id": "26007345"}, {"ref": "kodamayuho/ubiquant-contest-notebook-lgb", "kernel_id": "26101256"}, {"ref": "kodamayuho/ubiquant-contest-notebook-lgb-ca4645", "kernel_id": "26150770"}, {"ref": "luckypen/max-and-min-f-data-for-target-price", "kernel_id": "26430381"}, {"ref": "xdotzhang/ubiquant-train-catboost", "kernel_id": "26317067"}, {"ref": "xdotzhang/ubiquant-train-1", "kernel_id": "26320610"}, {"ref": "xdotzhang/ubiquant-csv-to-pickle", "kernel_id": "26269280"}, {"ref": "subhipnandi/dnn-on-ubiquant-market-prediction-dataset", "kernel_id": "26525881"}, {"ref": "yuanzhezhou/correlation-team-name-and-score", "kernel_id": "27049537"}, {"ref": "yuanzhezhou/ubiquant-nature-of-features", "kernel_id": "27136780"}, {"ref": "fritzcremer/ubiquant-leaderboard-shakeup", "kernel_id": "27045828"}, {"ref": "xxxxyyyy80008/ubiquant-private-lb-rank-500-lightgbm-model", "kernel_id": "28981292"}, {"ref": "ouranos/ump-create-pickle-dataset", "kernel_id": "29506855"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "dhruviiitb/dnn-ensemble-update", "kernel_id": "31120893"}, {"ref": "min02yam/dnn-model-ensemble-weights-adjusted", "kernel_id": "33510080"}, {"ref": "vinitkp/ubiquantmarketprediction-dnn", "kernel_id": "47386695"}, {"ref": "hahacat/pytorch-template-transformer-data-augmentation", "kernel_id": "48863838"}]}
{"competition_id": "32057", "kernels": []}
{"competition_id": "32062", "kernels": [{"ref": "kuantinglai/110-ai-intro-demo1", "kernel_id": "21581430"}]}
{"competition_id": "32073", "kernels": []}
{"competition_id": "32075", "kernels": []}
{"competition_id": "32081", "kernels": []}
{"competition_id": "32086", "kernels": []}
{"competition_id": "32093", "kernels": []}
{"competition_id": "32094", "kernels": []}
{"competition_id": "32099", "kernels": []}
{"competition_id": "32103", "kernels": []}
{"competition_id": "32104", "kernels": []}
{"competition_id": "32105", "kernels": []}
{"competition_id": "32111", "kernels": []}
{"competition_id": "32118", "kernels": []}
{"competition_id": "32119", "kernels": [{"ref": "jeffheaton/city-size-starter-xfer", "kernel_id": "21666912"}, {"ref": "jeffheaton/city-size-starter-basic", "kernel_id": "21648652"}, {"ref": "shawnslin/city-size-xfer-group-777-version", "kernel_id": "21746620"}, {"ref": "hrengineer/a-code-of-we-tried-though-team", "kernel_id": "21861629"}, {"ref": "wenxinxue/ensemble-model", "kernel_id": "22588942"}]}
{"competition_id": "32123", "kernels": []}
{"competition_id": "32124", "kernels": [{"ref": "shekharjyotinath/shipping-cost", "kernel_id": "34284256"}]}
{"competition_id": "32125", "kernels": []}
{"competition_id": "32126", "kernels": [{"ref": "kuantinglai/110-1-eeai-train-devise-w-htag2vec", "kernel_id": "21654500"}, {"ref": "kuantinglai/110-1-eeai-train-tag2vec-tf1", "kernel_id": "21653806"}]}
{"competition_id": "32132", "kernels": []}
{"competition_id": "32135", "kernels": [{"ref": "f20180458/team14-assignment2", "kernel_id": "22405574"}]}
{"competition_id": "32141", "kernels": []}
{"competition_id": "32143", "kernels": []}
{"competition_id": "32147", "kernels": [{"ref": "derekcai/example-notebook-for-fall2021-cx-kaggle-project", "kernel_id": "22016751"}]}
{"competition_id": "32152", "kernels": []}
{"competition_id": "32163", "kernels": []}
{"competition_id": "32170", "kernels": []}
{"competition_id": "32176", "kernels": []}
{"competition_id": "32178", "kernels": []}
{"competition_id": "32183", "kernels": []}
{"competition_id": "32190", "kernels": [{"ref": "kuantinglai/110-1-tw-food101-demo", "kernel_id": "21869623"}]}
{"competition_id": "32193", "kernels": []}
{"competition_id": "32195", "kernels": []}
{"competition_id": "32223", "kernels": [{"ref": "uovvon/4animal", "kernel_id": "22404803"}]}
{"competition_id": "32224", "kernels": [{"ref": "pdemars/minimimum-viable-submission", "kernel_id": "21741512"}]}
{"competition_id": "32230", "kernels": []}
{"competition_id": "32237", "kernels": [{"ref": "thitinan/template", "kernel_id": "21927008"}, {"ref": "ribbinpo/template", "kernel_id": "22408327"}, {"ref": "iconicwasil/myfirstcnn", "kernel_id": "135529960"}]}
{"competition_id": "32239", "kernels": []}
{"competition_id": "32242", "kernels": []}
{"competition_id": "32251", "kernels": []}
{"competition_id": "32255", "kernels": [{"ref": "osentmarti/optimizaci-n-par-metros-de-un-modelo", "kernel_id": "21763979"}]}
{"competition_id": "32261", "kernels": [{"ref": "wadissimo/catboosting", "kernel_id": "21814702"}, {"ref": "wadissimo/a-simple-catboost-model", "kernel_id": "21861293"}, {"ref": "wadissimo/lgbm-boosting", "kernel_id": "21857294"}, {"ref": "cathayamin/diamonds-price-predict-by-lightgbm", "kernel_id": "21854070"}, {"ref": "muki2003/diamond-price-prediction", "kernel_id": "21817573"}, {"ref": "thomasdubail/keras-nn-for-diamonds-price-prediction", "kernel_id": "21814740"}, {"ref": "jackjaehwankim/predicting-diamond-cost-catboost", "kernel_id": "21786663"}, {"ref": "amanb096/diamond-2", "kernel_id": "21824981"}, {"ref": "samuelcortinhas/diamonds-script", "kernel_id": "21792020"}, {"ref": "rifqihaikal/diamonds-lr-xgboost-eda", "kernel_id": "21800931"}, {"ref": "rorjuela/notebooke09dcbd529", "kernel_id": "21816570"}, {"ref": "suddharshan/diamond-price-prediction-eda", "kernel_id": "22540303"}, {"ref": "rocklen/diamonds", "kernel_id": "25980240"}]}
{"competition_id": "32265", "kernels": []}
{"competition_id": "32272", "kernels": [{"ref": "fardinabdullah/notebookaf73413748", "kernel_id": "22206664"}]}
{"competition_id": "32276", "kernels": []}
{"competition_id": "32277", "kernels": []}
{"competition_id": "32281", "kernels": [{"ref": "mrmagno/notebookca2a884973", "kernel_id": "52600867"}]}
{"competition_id": "32283", "kernels": []}
{"competition_id": "32284", "kernels": [{"ref": "alelopes2/reading-data-example", "kernel_id": "21786200"}]}
{"competition_id": "32288", "kernels": [{"ref": "slavik0505/starter-text-classification", "kernel_id": "21798092"}]}
{"competition_id": "32289", "kernels": []}
{"competition_id": "32291", "kernels": []}
{"competition_id": "32300", "kernels": []}
{"competition_id": "32302", "kernels": [{"ref": "aqilabdul1213/praktikum-rnn", "kernel_id": "21845390"}]}
{"competition_id": "32305", "kernels": []}
{"competition_id": "32311", "kernels": [{"ref": "umarmasud/linear-reg", "kernel_id": "21828258"}, {"ref": "amanb096/test-predictions", "kernel_id": "21827090"}]}
{"competition_id": "32316", "kernels": []}
{"competition_id": "32317", "kernels": []}
{"competition_id": "32337", "kernels": []}
{"competition_id": "32347", "kernels": []}
{"competition_id": "32349", "kernels": []}
{"competition_id": "32351", "kernels": []}
{"competition_id": "32358", "kernels": []}
{"competition_id": "32373", "kernels": []}
{"competition_id": "32377", "kernels": []}
{"competition_id": "32378", "kernels": []}
{"competition_id": "32379", "kernels": []}
{"competition_id": "32381", "kernels": []}
{"competition_id": "32383", "kernels": []}
{"competition_id": "32391", "kernels": []}
{"competition_id": "32392", "kernels": [{"ref": "mylescaesar/assignment-4-cnn", "kernel_id": "22094757"}]}
{"competition_id": "32393", "kernels": [{"ref": "ohguri/2021-ai-2-17010351", "kernel_id": "22238176"}, {"ref": "nakyunglee/1-0-95548", "kernel_id": "22013601"}, {"ref": "jeeminimini/baseline", "kernel_id": "22006745"}, {"ref": "jeeminimini/defense", "kernel_id": "22179253"}, {"ref": "jeeminimini/dolearn", "kernel_id": "22985416"}]}
{"competition_id": "32400", "kernels": [{"ref": "songgyumin/open-source", "kernel_id": "21910052"}, {"ref": "jihapark/fifa-17011815", "kernel_id": "22014600"}]}
{"competition_id": "32401", "kernels": [{"ref": "limguentaek/baseline-1", "kernel_id": "21910338"}, {"ref": "jogukhee/baseline-1-19011494", "kernel_id": "22014389"}, {"ref": "limguentaek/baseline-2", "kernel_id": "22102039"}, {"ref": "yoonsangjun/2-17011779-1", "kernel_id": "22242677"}]}
{"competition_id": "32402", "kernels": []}
{"competition_id": "32403", "kernels": []}
{"competition_id": "32406", "kernels": []}
{"competition_id": "32409", "kernels": []}
{"competition_id": "32427", "kernels": []}
{"competition_id": "32436", "kernels": [{"ref": "marting9/blank-tp2-nov-21", "kernel_id": "21941936"}, {"ref": "marting9/blank-tp1-nov-21", "kernel_id": "21941626"}]}
{"competition_id": "32437", "kernels": [{"ref": "thomasdubail/top-3-solution", "kernel_id": "21974932"}, {"ref": "thegunny86/faro-antonio-y-marcos", "kernel_id": "21963190"}, {"ref": "dsuareznieto/antonio-jorge-y-david", "kernel_id": "21967218"}, {"ref": "martagmez/alex-carlos-y-marta", "kernel_id": "22022536"}]}
{"competition_id": "32440", "kernels": []}
{"competition_id": "32441", "kernels": [{"ref": "thomasdubail/random-forest-classifier-based-on-dictionary", "kernel_id": "21950818"}]}
{"competition_id": "32452", "kernels": []}
{"competition_id": "32455", "kernels": [{"ref": "kimsoojeong/baseline-code-19011789", "kernel_id": "21955127"}, {"ref": "leeseunghyeon99/ai-term-project-1-19011804", "kernel_id": "22013859"}, {"ref": "yeonhxx/2-19011824-0-95588", "kernel_id": "22377500"}, {"ref": "kimsoojeong/aiproject-defense-19011789", "kernel_id": "22142203"}]}
{"competition_id": "32456", "kernels": []}
{"competition_id": "32464", "kernels": []}
{"competition_id": "32465", "kernels": []}
{"competition_id": "32475", "kernels": []}
{"competition_id": "32477", "kernels": []}
{"competition_id": "32482", "kernels": []}
{"competition_id": "32484", "kernels": []}
{"competition_id": "32485", "kernels": [{"ref": "kokeyehya/drug-discovery-nora-yehia", "kernel_id": "103544664"}]}
{"competition_id": "32499", "kernels": []}
{"competition_id": "32500", "kernels": []}
{"competition_id": "32504", "kernels": []}
{"competition_id": "32505", "kernels": [{"ref": "uhhyunjoo/base-code", "kernel_id": "22015501"}, {"ref": "daseull/2nd-attack-19011461", "kernel_id": "22325546"}, {"ref": "tobehonest/base-code", "kernel_id": "22012746"}, {"ref": "tobehonest/defense-code", "kernel_id": "22105786"}]}
{"competition_id": "32506", "kernels": [{"ref": "y2sman/baseline-v3", "kernel_id": "21989265"}, {"ref": "y2sman/baseline-defense", "kernel_id": "22186409"}, {"ref": "jskim1738/second-att-19011798-jisoo-kim", "kernel_id": "22298060"}, {"ref": "jskim1738/1-19011798-0-70600", "kernel_id": "22014985"}]}
{"competition_id": "32513", "kernels": [{"ref": "anjaneyulurajulapati/group11-feature-engineering", "kernel_id": "35479705"}]}
{"competition_id": "32522", "kernels": []}
{"competition_id": "32524", "kernels": [{"ref": "plusjune/simple-baseline", "kernel_id": "22092360"}, {"ref": "jjdliu/titanic-survival-with-pycaret-demo", "kernel_id": "22812142"}, {"ref": "stellajb/kimjungbin-titanic", "kernel_id": "22102656"}, {"ref": "daesun/211118", "kernel_id": "22102673"}, {"ref": "hoseonchoi/notebook2", "kernel_id": "22104871"}, {"ref": "yyunjju/notebookd13e229ea5", "kernel_id": "22105169"}, {"ref": "yyunjju/notebook19c2f839b4", "kernel_id": "22104808"}, {"ref": "satgpd/lmj-1", "kernel_id": "22104204"}, {"ref": "hjm0099/1118-abcdef", "kernel_id": "22102684"}, {"ref": "younggeol/nayounggeol-titanic", "kernel_id": "22104952"}, {"ref": "laura33/notebookf63e53b9b8", "kernel_id": "22104989"}]}
{"competition_id": "32542", "kernels": []}
{"competition_id": "32548", "kernels": [{"ref": "lildatascientist/new-york-house-popularity-prediction", "kernel_id": "22916915"}]}
{"competition_id": "32550", "kernels": []}
{"competition_id": "32554", "kernels": []}
{"competition_id": "32559", "kernels": [{"ref": "isnotdoge/test-mag", "kernel_id": "22363924"}]}
{"competition_id": "32563", "kernels": []}
{"competition_id": "32564", "kernels": []}
{"competition_id": "32569", "kernels": []}
{"competition_id": "32583", "kernels": []}
{"competition_id": "32584", "kernels": []}
{"competition_id": "32586", "kernels": []}
{"competition_id": "32591", "kernels": [{"ref": "pirchlearning/simple-linear-regression-scikit-learn", "kernel_id": "22127873"}]}
{"competition_id": "32592", "kernels": [{"ref": "testaccount76203/basic-lstm-model", "kernel_id": "22071373"}]}
{"competition_id": "32597", "kernels": []}
{"competition_id": "32599", "kernels": []}
{"competition_id": "32604", "kernels": []}
{"competition_id": "32607", "kernels": []}
{"competition_id": "32610", "kernels": []}
{"competition_id": "32612", "kernels": []}
{"competition_id": "32615", "kernels": []}
{"competition_id": "32616", "kernels": []}
{"competition_id": "32629", "kernels": []}
{"competition_id": "32633", "kernels": []}
{"competition_id": "32640", "kernels": []}
{"competition_id": "32642", "kernels": [{"ref": "kolosov/obj2node-example-checker", "kernel_id": "22247785"}, {"ref": "romankasatov/obj2node", "kernel_id": "22949416"}, {"ref": "dogrose/max-clique", "kernel_id": "23031621"}, {"ref": "noferbeautiful/notebook-clique-search", "kernel_id": "23067757"}, {"ref": "kuzalex/greedy-clique-solution", "kernel_id": "23178483"}, {"ref": "kuzalex/notebookb7fd11595f", "kernel_id": "23168542"}, {"ref": "kuzalex/notebookf334f15ff0", "kernel_id": "23023804"}, {"ref": "yaroslavfedotov/obj2node-iterative-solution", "kernel_id": "23378312"}]}
{"competition_id": "32649", "kernels": []}
{"competition_id": "32654", "kernels": []}
{"competition_id": "32656", "kernels": []}
{"competition_id": "32657", "kernels": []}
{"competition_id": "32661", "kernels": []}
{"competition_id": "32677", "kernels": [{"ref": "plusjune/adult-census-income-eda-eda", "kernel_id": "22120552"}, {"ref": "plusjune/baseline", "kernel_id": "22120367"}, {"ref": "stellajb/kimjungbin", "kernel_id": "22129681"}, {"ref": "daesun/daesun-211119", "kernel_id": "22129514"}, {"ref": "hoseonchoi/notebook", "kernel_id": "22129519"}, {"ref": "yyunjju/baseline", "kernel_id": "22129572"}, {"ref": "yyunjju/notebook7a9a5e04c7", "kernel_id": "22130519"}, {"ref": "yyunjju/notebook6889a26506", "kernel_id": "22130889"}, {"ref": "yyunjju/notebookbe26d7a9fa", "kernel_id": "22129442"}, {"ref": "satgpd/20211119", "kernel_id": "22130187"}, {"ref": "hjm0099/1119-abcd", "kernel_id": "22129512"}, {"ref": "younggeol/salary", "kernel_id": "22129420"}, {"ref": "laura33/baseline-2", "kernel_id": "22129707"}]}
{"competition_id": "32690", "kernels": []}
{"competition_id": "32691", "kernels": [{"ref": "thomasdubail/how-am-i-feeling-v9-correction-up-to-0-87", "kernel_id": "22192298"}, {"ref": "martagmez/how-am-i-feeling-v9", "kernel_id": "22181716"}, {"ref": "pierotermini/notebook30be9a685f", "kernel_id": "22206403"}, {"ref": "jesusllanestamayo/clasificaci-n-de-rostros", "kernel_id": "22146098"}]}
{"competition_id": "32698", "kernels": []}
{"competition_id": "32699", "kernels": []}
{"competition_id": "32701", "kernels": []}
{"competition_id": "32702", "kernels": [{"ref": "athosdamiani/exemplo-submiss-o", "kernel_id": "22147654"}]}
{"competition_id": "32703", "kernels": []}
{"competition_id": "32706", "kernels": [{"ref": "woo525/code-baseline1", "kernel_id": "22150157"}]}
{"competition_id": "32707", "kernels": [{"ref": "shirodkarsmruti/ml-project-keras-mlp", "kernel_id": "22394667"}]}
{"competition_id": "32710", "kernels": [{"ref": "aninda/proteinomics", "kernel_id": "22930937"}, {"ref": "lnalinaf/binding-affinity-cafa5", "kernel_id": "40465983"}, {"ref": "ninamalyar/protein-compound-affinity", "kernel_id": "57937000"}]}
{"competition_id": "32714", "kernels": [{"ref": "andriihrabovyi/notebook0ec6372835", "kernel_id": "22351246"}, {"ref": "pavelkonoplev/notebook0ec6372835", "kernel_id": "22646621"}]}
{"competition_id": "32719", "kernels": []}
{"competition_id": "32721", "kernels": []}
{"competition_id": "32727", "kernels": []}
{"competition_id": "32728", "kernels": []}
{"competition_id": "32738", "kernels": []}
{"competition_id": "32742", "kernels": []}
{"competition_id": "32748", "kernels": []}
{"competition_id": "32749", "kernels": []}
{"competition_id": "32757", "kernels": []}
{"competition_id": "32758", "kernels": []}
{"competition_id": "32762", "kernels": []}
{"competition_id": "32771", "kernels": [{"ref": "jeffroszell/challenge-6-random-florists-k-means-clustering", "kernel_id": "22359760"}]}
{"competition_id": "32773", "kernels": []}
{"competition_id": "32797", "kernels": []}
{"competition_id": "32802", "kernels": []}
{"competition_id": "32804", "kernels": []}
{"competition_id": "32811", "kernels": []}
{"competition_id": "32814", "kernels": []}
{"competition_id": "32817", "kernels": []}
{"competition_id": "32826", "kernels": []}
{"competition_id": "32827", "kernels": []}
{"competition_id": "32834", "kernels": []}
{"competition_id": "32838", "kernels": []}
{"competition_id": "32840", "kernels": []}
{"competition_id": "32841", "kernels": [{"ref": "birshert1/idao-baseline", "kernel_id": "22516506"}, {"ref": "nhormann/idao-experiments-and-a-runner-exps-function", "kernel_id": "22536391"}, {"ref": "songulerdem/idao-insomnia-prediction", "kernel_id": "22582429"}, {"ref": "samyukthamobile/insomnia-prediction", "kernel_id": "22560346"}, {"ref": "agarwalvishal00/idao-ml-bootcamp", "kernel_id": "22537274"}, {"ref": "officialsubhash/insomnia-prediction", "kernel_id": "22595974"}, {"ref": "frees4/notebook0113246c93", "kernel_id": "24220010"}, {"ref": "enesavci16/idao-insomnia-prediction-with-lightgbm", "kernel_id": "25458997"}]}
{"competition_id": "32842", "kernels": []}
{"competition_id": "32845", "kernels": []}
{"competition_id": "32847", "kernels": [{"ref": "victorzhang412/sbert-mrloss", "kernel_id": "23066941"}]}
{"competition_id": "32855", "kernels": [{"ref": "terechihssan/notebook79d2d320eb", "kernel_id": "97250849"}, {"ref": "michaeltsaii/2025-michael", "kernel_id": "105841770"}]}
{"competition_id": "32860", "kernels": []}
{"competition_id": "32862", "kernels": [{"ref": "victorbahlangene/sign-language-image-classification-part-2", "kernel_id": "30501299"}, {"ref": "victorbahlangene/sign-language-image-classification-part-3-1", "kernel_id": "30867722"}, {"ref": "dacianbalint/notebook1da3d833b9", "kernel_id": "57675484"}, {"ref": "petergodbless/sign-language", "kernel_id": "66889098"}]}
{"competition_id": "32868", "kernels": []}
{"competition_id": "32871", "kernels": [{"ref": "thomasdubail/airplane-prediction-sklearn", "kernel_id": "22541448"}]}
{"competition_id": "32872", "kernels": [{"ref": "svendegroeve/basic-example", "kernel_id": "32333020"}, {"ref": "musk2025/notebook575b0137ca", "kernel_id": "89774573"}]}
{"competition_id": "32878", "kernels": [{"ref": "sixhky/my-submission-for-test-competition", "kernel_id": "22370313"}]}
{"competition_id": "32892", "kernels": [{"ref": "haochengweng/bert-try", "kernel_id": "22965495"}, {"ref": "silviayen/20220102", "kernel_id": "23534756"}, {"ref": "alexanderjuan/sentiment-analysis-tf-idf-logistic-regression", "kernel_id": "26505530"}, {"ref": "alexanderjuan/sentiment-analysis-tf-idf-naive-bayes", "kernel_id": "26504729"}, {"ref": "alexanderjuan/sentiment-analysis-bow-neural-network-19f749", "kernel_id": "26974250"}]}
{"competition_id": "32893", "kernels": []}
{"competition_id": "32895", "kernels": []}
{"competition_id": "32900", "kernels": [{"ref": "sidharthlanka/baseline", "kernel_id": "22407994"}, {"ref": "vinayakvatsalyaj/cnn-model", "kernel_id": "22560784"}, {"ref": "vaishali922/notebook7035e09fec", "kernel_id": "22539810"}]}
{"competition_id": "32904", "kernels": []}
{"competition_id": "32926", "kernels": []}
{"competition_id": "32936", "kernels": []}
{"competition_id": "32941", "kernels": []}
{"competition_id": "32944", "kernels": []}
{"competition_id": "32945", "kernels": []}
{"competition_id": "32949", "kernels": []}
{"competition_id": "32955", "kernels": []}
{"competition_id": "32956", "kernels": [{"ref": "nstslpgn/example", "kernel_id": "22664626"}]}
{"competition_id": "32957", "kernels": []}
{"competition_id": "32962", "kernels": [{"ref": "okinawa1976/inigo-lopez", "kernel_id": "23868676"}, {"ref": "albertotuero/alberto-tuero", "kernel_id": "23935992"}, {"ref": "rpygamer/first-last-name", "kernel_id": "23874778"}, {"ref": "alexh98/alex-hunt", "kernel_id": "23818948"}, {"ref": "connorwatkins/connor-watkins", "kernel_id": "23828445"}, {"ref": "joaolinosousa/joao-sousa", "kernel_id": "23856289"}, {"ref": "jaimekunstmichemberg/jaime-kunst", "kernel_id": "23870491"}, {"ref": "rahadtabreez/rahad-tabreez1", "kernel_id": "23896660"}, {"ref": "zan234/zanir-pradhan", "kernel_id": "23951263"}, {"ref": "rpygamer/sophie", "kernel_id": "30264060"}, {"ref": "rpygamer/ana-pe", "kernel_id": "30261385"}, {"ref": "rpygamer/notebooke8772b040b", "kernel_id": "30262420"}, {"ref": "rpygamer/douglas", "kernel_id": "30234320"}, {"ref": "rpygamer/khalid", "kernel_id": "30236095"}, {"ref": "sophiedevolder/sophie-dv", "kernel_id": "30328509"}, {"ref": "elfilalikhalid/el-filali-k", "kernel_id": "30365632"}]}
{"competition_id": "32965", "kernels": []}
{"competition_id": "32969", "kernels": [{"ref": "adrianspataru/notebook27920407de", "kernel_id": "22483238"}, {"ref": "adrianspataru/starting-notebook", "kernel_id": "22484830"}]}
{"competition_id": "32974", "kernels": [{"ref": "lucifergd192/cassava-efficientnet-dropout-visualized-model", "kernel_id": "22602530"}, {"ref": "umang1518/cassava-leaf-disease-efficient-net", "kernel_id": "22696879"}]}
{"competition_id": "32977", "kernels": [{"ref": "mariapeskova/fork-of-notebookcb38486e2e", "kernel_id": "22944386"}]}
{"competition_id": "32981", "kernels": []}
{"competition_id": "32987", "kernels": []}
{"competition_id": "32990", "kernels": []}
{"competition_id": "32994", "kernels": []}
{"competition_id": "33002", "kernels": []}
{"competition_id": "33003", "kernels": [{"ref": "revatisn/ir-ubb-light-xgb-cat-lr", "kernel_id": "103938862"}]}
{"competition_id": "33004", "kernels": [{"ref": "thomasdubail/diamonds-sklearn-rdf", "kernel_id": "22545257"}, {"ref": "megaslav/example-of-sklearn-with-pipelines", "kernel_id": "22684664"}]}
{"competition_id": "33006", "kernels": []}
{"competition_id": "33017", "kernels": []}
{"competition_id": "33028", "kernels": []}
{"competition_id": "33033", "kernels": []}
{"competition_id": "33034", "kernels": []}
{"competition_id": "33037", "kernels": [{"ref": "towarddatascience/sample-code", "kernel_id": "22941453"}, {"ref": "lehuynhduc/single-model", "kernel_id": "24903208"}, {"ref": "lehuynhduc/easy-mean-last14", "kernel_id": "24903093"}, {"ref": "lehuynhduc/top-2-pb-solution", "kernel_id": "24091515"}]}
{"competition_id": "33039", "kernels": []}
{"competition_id": "33044", "kernels": []}
{"competition_id": "33049", "kernels": [{"ref": "atharvaingle/datathon-melange-2021", "kernel_id": "22726906"}]}
{"competition_id": "33060", "kernels": [{"ref": "mathurinache/starter-wids2022", "kernel_id": "23676655"}, {"ref": "mathurinache/wids2022-data-augmentation", "kernel_id": "23690741"}, {"ref": "danofer/wids-2022-temporal-train-test-split", "kernel_id": "23737932"}, {"ref": "shrutisaxena/wids2022-starter-code", "kernel_id": "23679276"}, {"ref": "shrutisaxena/wids2022-automl", "kernel_id": "23682160"}, {"ref": "usharengaraju/wids2022-lgbm-starter-w-b", "kernel_id": "23678454"}, {"ref": "farazrahman/bee-building-energy-efficiency-eda", "kernel_id": "23703589"}, {"ref": "aliphya/using-the-blending-strategy", "kernel_id": "23721348"}, {"ref": "sanu123/wids-2022-autoencoder", "kernel_id": "23750754"}, {"ref": "ulrich07/wids-2022-ann-tf-starter", "kernel_id": "23796464"}, {"ref": "ggxgboostgg/wids-2022-shap-values-validation", "kernel_id": "23731520"}, {"ref": "sadiqueabdullah/wids-datathon2022", "kernel_id": "23731406"}, {"ref": "ahana91/wids-2022-eda-comparison-of-5-simple-models", "kernel_id": "23810989"}, {"ref": "gunesevitan/wids-datathon-2022", "kernel_id": "23700409"}, {"ref": "ycca1018/wids-2022-catboost-beginner-jp-en-score-31-71", "kernel_id": "23791328"}, {"ref": "ycca1018/wids-2022-simple-eda-jp-en-about-features", "kernel_id": "23738749"}, {"ref": "schopenhacker75/catboost-starter-eda", "kernel_id": "23740646"}, {"ref": "samir3112/pycaret-starter-code", "kernel_id": "23705360"}, {"ref": "mpwolke/building-energy-performance-wids-2022", "kernel_id": "23682501"}, {"ref": "ccollado7/wids-complete-eda", "kernel_id": "23752210"}, {"ref": "kamaljp/building-energy-usage-edanmodeling", "kernel_id": "23970698"}, {"ref": "annerb/notebook528d6fcead", "kernel_id": "23907675"}, {"ref": "iamleonie/wids-datathon-2022-building-energy-usage", "kernel_id": "23776528"}, {"ref": "cnhung/kaggle-wids-2022-vae-cat-bernoulli-widedeep", "kernel_id": "23861853"}, {"ref": "lonnieqin/wids-datathon-2022-with-catboost", "kernel_id": "23894784"}, {"ref": "amdionascu/wids2022-eda", "kernel_id": "23881886"}, {"ref": "desalegngeb/wids-2022-eda-simple-models", "kernel_id": "23805556"}, {"ref": "rhythmcam/wids2022-autogluon-basic", "kernel_id": "23706145"}, {"ref": "rhythmcam/wids-2022-simple-eda", "kernel_id": "23731934"}, {"ref": "rhythmcam/wids-2022-catboost-rmse", "kernel_id": "23754136"}, {"ref": "rhythmcam/automl-h2o-wids2002", "kernel_id": "23689514"}, {"ref": "rhythmcam/wids-2022-find-outliers-using-pycaret-anomaly", "kernel_id": "23821340"}, {"ref": "rhythmcam/wids-2022-lightgbm-randomsearchcv-rmse", "kernel_id": "23886772"}, {"ref": "rhythmcam/wids-2022-pycaret-model-blending", "kernel_id": "23916997"}, {"ref": "yunlinlew/wids-22-eda-lightgbm-comparecatencoding-shap", "kernel_id": "23974355"}, {"ref": "icfstat/starter-baseline-wids-2022-workshop", "kernel_id": "24255660"}, {"ref": "danofer/starter-baseline-wids-2022-workshop", "kernel_id": "24897640"}, {"ref": "mchahhou/final-7", "kernel_id": "24974095"}, {"ref": "sophieb/wids-2022-quick-eda", "kernel_id": "24004666"}, {"ref": "usharengaraju/tensorflow-wids2022variableselectionnetworks", "kernel_id": "24007196"}, {"ref": "iprogrammer/wids-2022-datathon-maastricht-2nd-day", "kernel_id": "24345909"}, {"ref": "lhagiimn/wids2022-final-solution-lb-2nd-and-pb-6th", "kernel_id": "24888283"}, {"ref": "kritidoneria/wids2022-automl-mljar", "kernel_id": "24287795"}, {"ref": "uyangas/wids-2022-catboost-lgbm-ensemble", "kernel_id": "24912295"}, {"ref": "uyangas/eda-wids-2022", "kernel_id": "24269962"}, {"ref": "zintun/data-exploration", "kernel_id": "24233191"}, {"ref": "madagasygirl/wids-datathon-regression-with-h2o-in-r", "kernel_id": "24273369"}, {"ref": "henaghonia/fttransformer", "kernel_id": "24176401"}, {"ref": "jy2040/tabular-data-model-fitting", "kernel_id": "24860766"}, {"ref": "jy2040/preprocessing-eda-featuretransformation", "kernel_id": "24690166"}, {"ref": "changsun1025/wids-2022-datathon-maastricht-day-1", "kernel_id": "24310938"}, {"ref": "suradechk/wids-ml-voting", "kernel_id": "24047907"}, {"ref": "suradechk/blending", "kernel_id": "24460846"}, {"ref": "suradechk/wids-stacking-regressor", "kernel_id": "24566468"}, {"ref": "suradechk/starter-baseline-wids-2022-25-261", "kernel_id": "24607737"}, {"ref": "cristianlazoquispe/automl-h2o-shap-explanation", "kernel_id": "24489612"}, {"ref": "cristianlazoquispe/time-series-analysis-train-test-id-building", "kernel_id": "24504295"}, {"ref": "abh1jeetpandey/wids-ensemble", "kernel_id": "24921555"}, {"ref": "abh1jeetpandey/wids-nn-for-genrating-embeddings", "kernel_id": "24429541"}, {"ref": "omarvivas/xgbkagglewids22opt-v1", "kernel_id": "24542655"}, {"ref": "omarvivas/lgbm-sqrt-v1", "kernel_id": "24835294"}, {"ref": "omarvivas/xgboost-best-v1", "kernel_id": "24810922"}, {"ref": "omarvivas/catboostxstate-v1", "kernel_id": "24969727"}, {"ref": "schopenhacker75/feature-engineering-catboost", "kernel_id": "24082854"}, {"ref": "erumafzal/wids-22-eda-lightgbm-randomizedsearch-shap", "kernel_id": "24095280"}, {"ref": "erumafzal/wids-datathon-2022-with-catboost", "kernel_id": "24095948"}, {"ref": "kamaljp/modeling-site-eui-wids", "kernel_id": "24046447"}, {"ref": "kamaljp/feature-engineering-nn-modeling-wids", "kernel_id": "24122538"}, {"ref": "isha20/wids-2022-boosting-models", "kernel_id": "24408543"}, {"ref": "isha20/wids-2022-eda", "kernel_id": "24395367"}, {"ref": "isha20/wids-2022-create-folds", "kernel_id": "24565136"}, {"ref": "isha20/wids-2022-blending", "kernel_id": "24639752"}, {"ref": "iamleonie/understanding-shapley-values", "kernel_id": "24072994"}, {"ref": "vpalotai/wids-2022-eda-feature-engineering-ensembles", "kernel_id": "24974269"}, {"ref": "kiranchowdary/wids-modelling-light-gbm", "kernel_id": "24915489"}, {"ref": "aisyahhrazak/wids-datathon-stacking", "kernel_id": "24876581"}, {"ref": "lizakonopelko/wids-2022-catboost", "kernel_id": "24265811"}, {"ref": "bsanuhya/wids-datathon-2022", "kernel_id": "24835028"}, {"ref": "shreyasajal/wids-datathon-2022-explainable-ai-walkthrough", "kernel_id": "24135665"}, {"ref": "gavisr/wids-2022-flaml-fast-and-quick-automl", "kernel_id": "24372350"}, {"ref": "gavisr/wids-2022-lgbm-for-beginners", "kernel_id": "24133195"}, {"ref": "bablos/excel-style-top50-solution-wids2022", "kernel_id": "24996353"}, {"ref": "jananishankar/wids-datathon-2022-fastai", "kernel_id": "24889637"}, {"ref": "jananishankar/wids-eda", "kernel_id": "24957882"}, {"ref": "shrutishrestha/wids-kathmandu", "kernel_id": "24420923"}, {"ref": "virajkadam/wids-catboost-regressor-with-optuna", "kernel_id": "24493209"}, {"ref": "shamiaaftab/wids-2022-basic-ols-sfs", "kernel_id": "24571711"}, {"ref": "komaldiwe/wids2022", "kernel_id": "24017642"}, {"ref": "skiraz/wids-2022-sol", "kernel_id": "24986597"}, {"ref": "viviho/wids-datathon-2022-lightgbm", "kernel_id": "24975993"}, {"ref": "chakryamenh/datathon2022-practicefromtheguideline", "kernel_id": "24950257"}, {"ref": "baselmather/wids-2022-quick-submissions", "kernel_id": "24968350"}, {"ref": "baselmather/wids-2022", "kernel_id": "24964959"}, {"ref": "nicojv/wids-datathon-2022-ensemble-learning-top-10", "kernel_id": "24830968"}, {"ref": "angiengkh/wids-2022-eda-feature-engineering", "kernel_id": "24800335"}, {"ref": "hebamahmoud000/notebook-2", "kernel_id": "24898828"}, {"ref": "rhythmcam/wids-2002-flaml-prediction", "kernel_id": "24784805"}, {"ref": "rhythmcam/wids2022-evalml-prediction", "kernel_id": "24821257"}, {"ref": "yunlinlew/wids-22-tabnet-starter", "kernel_id": "24140669"}, {"ref": "yunlinlew/wids-22-blending-lightgbm-catboost", "kernel_id": "24099960"}, {"ref": "avinashreddykovvuri/a01-vitb-avinash-s-wids-mark-6", "kernel_id": "24173718"}, {"ref": "binitagiri/kaggle-sub-feb24-binita", "kernel_id": "24932382"}, {"ref": "sagarikajadon/wids-in-depth-eda", "kernel_id": "24651143"}, {"ref": "srishtipoudel/basic-eda-and-outlier-detection", "kernel_id": "24958207"}, {"ref": "pranalibose/wids-simple-and-easy-approach", "kernel_id": "24830136"}, {"ref": "pranalibose/wids-beginner-s-guide-on-basic-plots", "kernel_id": "24218370"}, {"ref": "pranalibose/wids-temp-feature-engineering", "kernel_id": "24067279"}, {"ref": "pranalibose/wids-base-regression-model", "kernel_id": "24416316"}, {"ref": "tonyframedatathon/fork-of-wids-bofa-stark-industries-tf-new-ver", "kernel_id": "24680127"}, {"ref": "tonyframedatathon/wids-bofa-stark-industries", "kernel_id": "24111363"}, {"ref": "isaell/wids2022-notebook", "kernel_id": "24004686"}, {"ref": "sdevulap/bofa-byte-wids-datathon-2502", "kernel_id": "24971155"}, {"ref": "sdevulap/bofa-byte-wids-datathon", "kernel_id": "24855692"}, {"ref": "mathurinache/part-2-wids2022-model2-no-lag", "kernel_id": "25045710"}, {"ref": "pavelvod/wids2022-find-city-of-each-building", "kernel_id": "25069240"}, {"ref": "jayjay75/part-1-wids2022-model-with-lag", "kernel_id": "25035812"}, {"ref": "jinluo/wids-building-signature-clean", "kernel_id": "25126146"}, {"ref": "kostoglot/wids2022-18-5x-private", "kernel_id": "25008299"}, {"ref": "sndpkirwai/wids-2022-eda-feature-engineering-reg-xgb", "kernel_id": "25237334"}, {"ref": "tracyporter/wids-pytorch-linear-regression", "kernel_id": "25236054"}, {"ref": "tracyporter/wids-late-submission", "kernel_id": "25229925"}, {"ref": "zhuoling2021/wids2022-final-lgbm-knn", "kernel_id": "25005600"}, {"ref": "snehalthakur1991/siteenergyintensityprediction", "kernel_id": "25235414"}, {"ref": "sayansh001/energy-efficient-buildings-detailed-eda", "kernel_id": "25049031"}, {"ref": "makkum/wids-building-energy-predictions-2022", "kernel_id": "25088758"}, {"ref": "yasirarfat/wids-datathon2022", "kernel_id": "26136129"}, {"ref": "sadiaanzum/site-energy-use-prediction", "kernel_id": "26983978"}, {"ref": "ambarish/building-efficiency-wids-datathon", "kernel_id": "27198248"}, {"ref": "cristianlazoquispe/wids2022-eda", "kernel_id": "27452699"}, {"ref": "kevinmuoztorres/notebook0cae8ec436", "kernel_id": "27553285"}, {"ref": "albertcastellano/automl-h2o-shap-explanation", "kernel_id": "27609632"}, {"ref": "binitagiri/climate-change-xgb-with-time-series", "kernel_id": "28817451"}, {"ref": "shirshmall/site-energy-intensity-prediction", "kernel_id": "28895125"}, {"ref": "namnguyen192/wids-best-score", "kernel_id": "28657069"}, {"ref": "shirshmall/site-energy-intensity-prediction-graphs-excluded", "kernel_id": "29924775"}, {"ref": "pollicio/energia-chile", "kernel_id": "30485369"}, {"ref": "salmankhaliq22/random-value-imputation", "kernel_id": "32632333"}, {"ref": "salmankhaliq22/missing-indicator-imputation", "kernel_id": "32698931"}, {"ref": "salmankhaliq22/mean-median-imputation-of-numerical-features", "kernel_id": "32224177"}, {"ref": "saraswatitiwari/wids-datathon", "kernel_id": "36314968"}, {"ref": "ak03ai/wids-site-energy-intensity-2023", "kernel_id": "38241745"}, {"ref": "berlayberlay/wids2022-final-solution-lb-2nd-and-pb-6th", "kernel_id": "39488294"}, {"ref": "vinayakpatkar/wids-datathon-2022-explainable-ai-walkthrough", "kernel_id": "44916836"}, {"ref": "aliyasirali/energy-use-intensity-ml", "kernel_id": "48255063"}, {"ref": "lxkhati/eda-wids-2022", "kernel_id": "49346107"}, {"ref": "rrproletariat/wids-lightgbm", "kernel_id": "57490802"}, {"ref": "rukmaltharaka/notebookff8a5b8196", "kernel_id": "74776131"}, {"ref": "evanolearyemenate/alexandria-competition-widsdatathon2022-251566", "kernel_id": "100582359"}, {"ref": "xahrarouhinia/classicmlmodels", "kernel_id": "105620894"}, {"ref": "xahrarouhinia/ensemblegb", "kernel_id": "109649737"}]}
{"competition_id": "33061", "kernels": []}
{"competition_id": "33063", "kernels": [{"ref": "kuantinglai/110-1-ee-ai-hw3-stock-price-prediction", "kernel_id": "22943394"}]}
{"competition_id": "33064", "kernels": []}
{"competition_id": "33068", "kernels": []}
{"competition_id": "33069", "kernels": []}
{"competition_id": "33072", "kernels": []}
{"competition_id": "33075", "kernels": []}
{"competition_id": "33077", "kernels": []}
{"competition_id": "33078", "kernels": []}
{"competition_id": "33079", "kernels": []}
{"competition_id": "33089", "kernels": []}
{"competition_id": "33092", "kernels": []}
{"competition_id": "33101", "kernels": [{"ref": "mt77pp/mljar-automl-tps-jan-2022", "kernel_id": "23606394"}, {"ref": "lucamassaron/kaggle-merchandise-eda-with-xgboost", "kernel_id": "23953585"}, {"ref": "lucamassaron/festivities-in-finland-norway-sweden", "kernel_id": "23535159"}, {"ref": "lucamassaron/kaggle-merchandise-eda-with-baseline-linear-model", "kernel_id": "23593050"}, {"ref": "shravankoninti/tps-jan-2022-ts-eda", "kernel_id": "23536149"}, {"ref": "inversion/visualization-and-random-forest-model", "kernel_id": "23456844"}, {"ref": "kailex/tabular-playground-22ts", "kernel_id": "23572334"}, {"ref": "paddykb/tps-2022-01-a-look-at-ambrosm-s-linear-model", "kernel_id": "23817156"}, {"ref": "bcruise/tps-jan-2022-linear-baseline", "kernel_id": "23573931"}, {"ref": "bcruise/tps-jan-2022-trend-poly-fit", "kernel_id": "23620110"}, {"ref": "bcruise/tps-jan-2022-simple-hybrid-model", "kernel_id": "23808283"}, {"ref": "bcruise/tps-jan-2022-seasonality", "kernel_id": "23681881"}, {"ref": "sugamkhetrapal/tps-jan-2022-1-02-eda-sweetviz", "kernel_id": "23586426"}, {"ref": "sugamkhetrapal/tps-jan-2022-1-01-eda-dataprep", "kernel_id": "23586268"}, {"ref": "sugamkhetrapal/tps-jan-2022-1-05-eda-d-tale", "kernel_id": "23587666"}, {"ref": "sugamkhetrapal/tps-jan-2022-1-03-eda-autoviz", "kernel_id": "23586737"}, {"ref": "sugamkhetrapal/tps-jan-2022-1-04-eda-pandas-profiling", "kernel_id": "23586909"}, {"ref": "sugamkhetrapal/tps-jan-2022-1-06-eda-lux", "kernel_id": "23612415"}, {"ref": "sugamkhetrapal/tps-jan-2022-1-07-load-explore", "kernel_id": "23782417"}, {"ref": "pranaytiwari/tps-2022-eda-non-linear-stacking", "kernel_id": "23902105"}, {"ref": "pranaytiwari/tps-2022-eda-linear-regression-baseline", "kernel_id": "23862157"}, {"ref": "usharengaraju/tensorflow-tf-data-keraspreprocessinglayers-w-b", "kernel_id": "23792563"}, {"ref": "ifashion/tps-jan-2022-gdp", "kernel_id": "23954057"}, {"ref": "ifashion/tps-2022-jan-reg-smape-xgb", "kernel_id": "23976290"}, {"ref": "katokev/tabular-background-jan-2022", "kernel_id": "23613415"}, {"ref": "lexplua/exponential-smoothing", "kernel_id": "23637660"}, {"ref": "tqrahman/tpsjan2022-basic-eda-with-insights", "kernel_id": "23536816"}, {"ref": "cv13j0/tps-jan22-quick-eda-xgboost", "kernel_id": "23514055"}, {"ref": "cv13j0/tps-jan22-quick-eda-catboost", "kernel_id": "23572626"}, {"ref": "gvyshnya/jan22-tpc-feature-importance-with-featurewiz", "kernel_id": "23621504"}, {"ref": "rsesha/jan22-tps-featurewiz-lightgbm-9-4-score", "kernel_id": "23624742"}, {"ref": "rsesha/autoviz-on-jan22-tps-lightgbm", "kernel_id": "23626048"}, {"ref": "rumasinha/understandingforecastingwithtimeseriesdata", "kernel_id": "23751342"}, {"ref": "rumasinha/exploratory-data-analysis", "kernel_id": "23686670"}, {"ref": "maulberto3/tps-jan2022-simple-exploratory-visualizations", "kernel_id": "23575412"}, {"ref": "maulberto3/tps-jan2022-simple-histgradboosting-forecasts", "kernel_id": "23686871"}, {"ref": "peressim/tps-jan-2022-transformer-with-time2vec", "kernel_id": "23924385"}, {"ref": "peressim/tps-jan-2022-eda", "kernel_id": "23748947"}, {"ref": "siukeitin/tps012022-detrending-case-study-i", "kernel_id": "23576916"}, {"ref": "siukeitin/tps012022-comparing-gdp-data-from-multiple-sources", "kernel_id": "23916777"}, {"ref": "valou7/tps-jan22-date-engineering", "kernel_id": "23613127"}, {"ref": "rnepal2/tps-time-series-prediction-with-neuralprophet", "kernel_id": "23577013"}, {"ref": "sherey/tpsjan2022", "kernel_id": "23989563"}, {"ref": "maheswarareddyp/tabular-jan-2022", "kernel_id": "23611204"}, {"ref": "fergusfindley/tpsjan22-1-10-feature-engineering", "kernel_id": "23856410"}, {"ref": "fergusfindley/ensembling-and-rounding-techniques-comparison", "kernel_id": "23713874"}, {"ref": "fergusfindley/tpsjan22-eda-baseline-train-submission", "kernel_id": "23469003"}, {"ref": "buzzini/eda-predictions-tabular-playground-jan-2022", "kernel_id": "23993032"}, {"ref": "slythe/tps-jan22-catboost-multi-step-seeding-recursive", "kernel_id": "23724739"}, {"ref": "slythe/tps-jan-22-catboost-optuna-with-seeding", "kernel_id": "23673542"}, {"ref": "slythe/tps-jan-22-huber", "kernel_id": "23674126"}, {"ref": "slythe/tps-jan-22-tweedie-regression-add-features", "kernel_id": "23690514"}, {"ref": "slythe/tps-jan-22-lightgbm", "kernel_id": "23664021"}, {"ref": "slythe/tps-jan-22-ridge-muti-step-recursive-lag-feature", "kernel_id": "23933845"}, {"ref": "slythe/tps-jan-22-ridge-multisplit", "kernel_id": "23893969"}, {"ref": "slythe/tps-jan-22-eda-pycaret-baseline", "kernel_id": "23529416"}, {"ref": "slythe/tps-jan-22-optuna-lightgbm", "kernel_id": "23595330"}, {"ref": "karthikbhandary2/playground-series-analysis-randomforestregresor", "kernel_id": "23523037"}, {"ref": "karthikbhandary2/tabular-playground-with-xgboost", "kernel_id": "23534081"}, {"ref": "pr2tik1/tps-jan-simple-eda-with-plotly-hny", "kernel_id": "23534013"}, {"ref": "vladlee/tps-jan2022-lgbm-optuna", "kernel_id": "23542586"}, {"ref": "vladlee/tps-jan-2022-eda-baseline", "kernel_id": "23598742"}, {"ref": "vladlee/tps-jan-2022-lstm", "kernel_id": "23599796"}, {"ref": "vladlee/tps-jan-2022-lgb-xgb-lstm", "kernel_id": "23684179"}, {"ref": "vladlee/tps-jan2022-xgb-optuna", "kernel_id": "23673803"}, {"ref": "vladlee/tps-jan-2022-err-analysis", "kernel_id": "23750242"}, {"ref": "ankitkumar111/eda-playground", "kernel_id": "23624601"}, {"ref": "jacoporepossi/eda-made-easy-pandas-profiling", "kernel_id": "23740822"}, {"ref": "pelagial/tps-january-22-eda", "kernel_id": "23539752"}, {"ref": "samu2505/ensemble-and-gradient-boosting-in-scikit-learn", "kernel_id": "23939794"}, {"ref": "samir95/baseline-randomforests", "kernel_id": "23820835"}, {"ref": "craigmthomas/tps-jan-2022-eda", "kernel_id": "23546369"}, {"ref": "pinstripezebra/january-tps", "kernel_id": "23628753"}, {"ref": "ant3ng/simple-lightgbm-tps-jan-2022", "kernel_id": "23513442"}, {"ref": "seungtaekim/2022-jan-tps", "kernel_id": "23520757"}, {"ref": "asimzahid/tps-jan-2022-forecasting", "kernel_id": "23635054"}, {"ref": "akmalmir/pycaret-for-starters-tps-jan-2022", "kernel_id": "23512773"}, {"ref": "harshul23/tps-jan22-eda-fe-catboost", "kernel_id": "23765553"}, {"ref": "tylerjthomas9/julia-stacking-baseline-tps-jan2022", "kernel_id": "23538614"}, {"ref": "ayhampar/simple-code-with-score-8-25215", "kernel_id": "23913613"}, {"ref": "caneiro/tps-2022-01-jan-prophet-baseline", "kernel_id": "23591922"}, {"ref": "aestheteaman01/tabular-playground-2022-the-storytelling", "kernel_id": "23589302"}, {"ref": "stpeteishii/tps0122-single-prophet", "kernel_id": "23669643"}, {"ref": "stpeteishii/tps0122-multi-prophet", "kernel_id": "23586476"}, {"ref": "subinium/tps-jan-happy-new-year", "kernel_id": "23512939"}, {"ref": "toomuchsauce/tps-jan-part-2-lstm-pytorch", "kernel_id": "23706519"}, {"ref": "toomuchsauce/happy-new-year-tps-understanding-the-data-pt1", "kernel_id": "23519747"}, {"ref": "toomuchsauce/sign-language-calculator-pytorch", "kernel_id": "23580714"}, {"ref": "gunesevitan/tabular-playground-series-jan-2022-prophet", "kernel_id": "23535540"}, {"ref": "ted0071/tps-jan-2022-time-series-analysis", "kernel_id": "23573080"}, {"ref": "kratos2597/tabular-playground-series-jan-2022", "kernel_id": "23562431"}, {"ref": "mmellinger66/tps-jan-22-xgboost-cv-oof", "kernel_id": "23748346"}, {"ref": "mpwolke/denmark-gone-galearn-genetic-algorithm", "kernel_id": "23569549"}, {"ref": "moizkhan11/tabplay-jan2022-smape-45", "kernel_id": "23661112"}, {"ref": "zhangcheche/tps-2022-jan-xgboost-baseline", "kernel_id": "23659869"}, {"ref": "zhangcheche/a-simple-simple-simple-tree-model", "kernel_id": "23984730"}, {"ref": "zhangcheche/a-simple-simple-simple-neural-network-pytorch", "kernel_id": "23987728"}, {"ref": "anirudhg15/tps-jan-22-extensive-time-series-tutorial", "kernel_id": "23442817"}, {"ref": "ccollado7/complete-eda", "kernel_id": "23622104"}, {"ref": "drcapa/tps-2022-01-starter", "kernel_id": "23522924"}, {"ref": "tobarr/catboost-es-feature-engine-no-gdp-data-4-89lb", "kernel_id": "23720369"}, {"ref": "anirudhyadav9784/xg-boost-with-gdp-amazon-s-sales-data", "kernel_id": "23673225"}, {"ref": "hasanbasriakcay/tps-jan-22-tsa-fe-modeling", "kernel_id": "23889308"}, {"ref": "hasanbasriakcay/playground-jan-22-eda-feature-engineering", "kernel_id": "23603828"}, {"ref": "abhijitd16/neural-prophet-and-simple-nn", "kernel_id": "23678678"}, {"ref": "wanglaiso/xgboost-for-jan", "kernel_id": "23842531"}, {"ref": "pavan9065/tps-jan22-eda-model", "kernel_id": "23578052"}, {"ref": "thrasy/tps-jan-simple-dataviz", "kernel_id": "23526808"}, {"ref": "irillit/basic-xgbregressor", "kernel_id": "23680742"}, {"ref": "medaxone/r-passing-benchmark-with-insights-and-zero-model", "kernel_id": "23527780"}, {"ref": "isha20/tps-jan-22-automl-using-pycaret", "kernel_id": "23784333"}, {"ref": "isha20/tps-jan-22-eda", "kernel_id": "23822652"}, {"ref": "isha20/tps-jan-2022-catboost-eda", "kernel_id": "23590259"}, {"ref": "akmeghdad/tps-0122-all-in-one-preprocessing-feature-eng", "kernel_id": "23773255"}, {"ref": "akmeghdad/tps-0122-all-in-one-boosters", "kernel_id": "23946970"}, {"ref": "p7476762/8-models-add-xgboost-compare-score-mse", "kernel_id": "23870282"}, {"ref": "devsubhash/tps-jan-2022-eda-pycaret-blend", "kernel_id": "23557458"}, {"ref": "hassanmojab/tps-jan-2022-catboost", "kernel_id": "23694113"}, {"ref": "mohammedshammeer/kaggle-sales-proper-visualizations", "kernel_id": "23952054"}, {"ref": "saraswatitiwari/tps-january-2022", "kernel_id": "23666942"}, {"ref": "saraswatitiwari/festivities-and-gdp-data", "kernel_id": "23694578"}, {"ref": "saraswatitiwari/tabular-playground-series-2022", "kernel_id": "23710946"}, {"ref": "saraswatitiwari/tps-2022", "kernel_id": "23733651"}, {"ref": "saraswatitiwari/tabular-playground-series-22", "kernel_id": "23788579"}, {"ref": "saraswatitiwari/tabular-playground-series-jan-2022", "kernel_id": "23580175"}, {"ref": "saraswatitiwari/tps-jan-2022", "kernel_id": "23585181"}, {"ref": "carlmcbrideellis/gdp-of-finland-norway-and-sweden-2015-2019", "kernel_id": "23632460"}, {"ref": "carlmcbrideellis/tps-jan-2022-a-simple-average-model-no-ml", "kernel_id": "23525959"}, {"ref": "sytuannguyen/tps-jan-2022-automated-ensembling", "kernel_id": "23538930"}, {"ref": "sytuannguyen/tps-jan-2022-tree-kernel-nn-and-ensemble-models", "kernel_id": "23904019"}, {"ref": "sytuannguyen/tps-jan-2022-with-pycaret", "kernel_id": "23914749"}, {"ref": "sytuannguyen/tps-jan-2022-with-light-gradient-boosting-method", "kernel_id": "23952085"}, {"ref": "sytuannguyen/tps-jan-2022-simple-catboost", "kernel_id": "23952188"}, {"ref": "sytuannguyen/tps-jan-2022-xgboost", "kernel_id": "23952365"}, {"ref": "sytuannguyen/tps-jan-2022-simple-regression", "kernel_id": "23952405"}, {"ref": "bernhardklinger/tps-jan-2022-catboost-with-pycaret", "kernel_id": "23803336"}, {"ref": "bernhardklinger/tps-jan-2022", "kernel_id": "23575261"}, {"ref": "mehrankazeminia/delete-feb29th-2016-fork-keras-quickstart", "kernel_id": "23914734"}, {"ref": "frankmollard/general-data-overview", "kernel_id": "23554567"}, {"ref": "parthavjoshi/notebook-1", "kernel_id": "23986674"}, {"ref": "nancysamuel/tps-jan-2022-eda", "kernel_id": "23767872"}, {"ref": "nourajo/tps-eda-xgboost", "kernel_id": "23917349"}, {"ref": "lonnieqin/tps-01-22-with-autokeras", "kernel_id": "23530240"}, {"ref": "lonnieqin/tps-01-22-with-catboost", "kernel_id": "23518276"}, {"ref": "boopathymsse/tps-jan22-with-xgboost", "kernel_id": "23530832"}, {"ref": "emreuzel/plotly-interactive-eda", "kernel_id": "23724472"}, {"ref": "abdalrahmanashour/tabular-playground-series-jan-2022-prediction", "kernel_id": "23590994"}, {"ref": "mdshahbazalam/simple-mlp", "kernel_id": "23631178"}, {"ref": "mdshahbazalam/catboostregressor-xgboost", "kernel_id": "23582546"}, {"ref": "ranjeetshrivastav/tps-jan-22-base-xgb-lgb", "kernel_id": "23516788"}, {"ref": "notnamed/tps-2022-january-holidays-since-until-pycaret", "kernel_id": "23583678"}, {"ref": "danielkorth/tps-jan22-fastai", "kernel_id": "23797254"}, {"ref": "sagnik1511/fast-walkthrough-tps-jan-2k22", "kernel_id": "23571460"}, {"ref": "hikarumoriya/tabular-playground-eda-jpn", "kernel_id": "23875867"}, {"ref": "lordozvlad/tps-jan-fast-pycaret-with-scikit-learn-intelex", "kernel_id": "23567497"}, {"ref": "kohjiahng/jan-2022-tbp-eda", "kernel_id": "23527948"}, {"ref": "tracyporter/jan-22-tabular-outlier", "kernel_id": "23565359"}, {"ref": "tracyporter/jan-22-tabular-hist-grad-boost-reg", "kernel_id": "23561024"}, {"ref": "khuutrongkhiem/model-sarimax", "kernel_id": "23985316"}, {"ref": "aryanml007/eda-and-prediction-tps-jan-2022", "kernel_id": "23633841"}, {"ref": "venkatkumar001/tps-jan-22-baseline-eda-cat-xgb", "kernel_id": "23992748"}, {"ref": "kavehshahhosseini/mix-tf-neural-networks-tf-decision-forests", "kernel_id": "23594492"}, {"ref": "kavehshahhosseini/tps-jan-2022-pycaret", "kernel_id": "23538963"}, {"ref": "satyabrataroy/kagglemart-vs-kagglerama-top-10-insights-eda", "kernel_id": "23694311"}, {"ref": "jacobbarton/playground-jan-2022-eda", "kernel_id": "23564962"}, {"ref": "bibhabasumohapatra/only-product-to-predict-num-sold", "kernel_id": "23549747"}, {"ref": "bibhabasumohapatra/sweetviz", "kernel_id": "23549165"}, {"ref": "mohammadkashifunique/xgboost-hyperparameteroptimization-optuna", "kernel_id": "23603920"}, {"ref": "kubervarshney/tps-jan-2022", "kernel_id": "23988996"}, {"ref": "prashantpathak244/lgm-boost", "kernel_id": "23923015"}, {"ref": "ankitkalauni/overfitting-ninja-technique-copied", "kernel_id": "23540528"}, {"ref": "ankitkalauni/tps-jan-22-noob-learning", "kernel_id": "23519351"}, {"ref": "mirenaborisova/tabular-playground-jan-2021-01", "kernel_id": "23695872"}, {"ref": "sasakic/tps-jan-22-simple-lstm", "kernel_id": "23807786"}, {"ref": "leesstephanie/tps-jan-2022-leesstephanie", "kernel_id": "23551116"}, {"ref": "teckmengwong/tps2201-hybrid-time-series-baseline", "kernel_id": "23544828"}, {"ref": "teckmengwong/tps2201-hybrid-time-series", "kernel_id": "23663536"}, {"ref": "teckmengwong/tell-me-the-magic-number", "kernel_id": "23809982"}, {"ref": "dextermojo/eda-of-tps-2022-fbprophet-baseline", "kernel_id": "23595667"}, {"ref": "dextermojo/tps-multivariate-fbprophet", "kernel_id": "23636326"}, {"ref": "hlgdatascience/kaggle-store-sales-eda", "kernel_id": "23980991"}, {"ref": "hlgdatascience/boosted-regressor-w-o-heavy-feature-engineering", "kernel_id": "23985812"}, {"ref": "dhananjaymishra1995/notebookd7b150fe22", "kernel_id": "23724154"}, {"ref": "hiroshisakiyama/gregorian-easter", "kernel_id": "23634656"}, {"ref": "hongyongmin/baseline", "kernel_id": "23662307"}, {"ref": "mhslearner/tps-jan-2022-time-series-forcasting", "kernel_id": "23526491"}, {"ref": "adamwurdits/tps-01-2022-catboost-seed-averaging", "kernel_id": "23530788"}, {"ref": "adamwurdits/tps-01-2022-weather-eda-feature-engineering", "kernel_id": "23947559"}, {"ref": "junior10/kaggle-merchandise-eda-with-baseline-linear-05c5f5", "kernel_id": "23949060"}, {"ref": "jeongbinpark/tps-jan-simple-eda-and-fbprophet", "kernel_id": "23512627"}, {"ref": "nishantdhingra/detailed-eda-and-vizualizations-tps-january-2022", "kernel_id": "23923692"}, {"ref": "jaredfeng/tps-jan22-inprog-v5", "kernel_id": "23537644"}, {"ref": "shoytovma/tps-jan-2022-base-line-model", "kernel_id": "23978090"}, {"ref": "pourchot/my-homework-at-ambrosm-school-cat-lgb-xgb", "kernel_id": "23728427"}, {"ref": "pourchot/tps-2022-01-same-pred-period-for-train-and-test", "kernel_id": "23568958"}, {"ref": "pourchot/tps-2022-01-baseline-and-eda", "kernel_id": "23557622"}, {"ref": "pourchot/tuning-regression-with-optuna-for-cat-lgb-xgb", "kernel_id": "23942725"}, {"ref": "sabinaabdurakhmanova/tps-more-is-better", "kernel_id": "23787052"}, {"ref": "sabinaabdurakhmanova/ensemble-again-maximizing-the-score-metrics", "kernel_id": "23748046"}, {"ref": "xholisilemantshongo/kudos-modeling-sales", "kernel_id": "23606550"}, {"ref": "kartushovdanil/overfit-me-catboost-lgbm", "kernel_id": "23918998"}, {"ref": "kartushovdanil/tps-jan-22-eda-atboost-prophet", "kernel_id": "23749310"}, {"ref": "zelalremalda/preprocessing-enumerate-one-hot-encode", "kernel_id": "23587689"}, {"ref": "anjalisrajan/tps-jan-2022-simple-model-using-xgboost", "kernel_id": "23639144"}, {"ref": "anjalisrajan/tps-january-22-public-score-5-03719", "kernel_id": "23796160"}, {"ref": "arhitbosetagore/visualization-forecasting-sarimax-fb-prophet", "kernel_id": "23522248"}, {"ref": "abhiroopbasak/salesdataregression", "kernel_id": "23513277"}, {"ref": "ayoubchaoui/lightgbm-vs-xgboost-vs-decision-tree", "kernel_id": "23636664"}, {"ref": "sardorabdirayimov/public-holiday-affect-on-tps-jan-2022", "kernel_id": "23634069"}, {"ref": "sardorabdirayimov/prophet-model-with-holidays-tps-jan-2022", "kernel_id": "23692926"}, {"ref": "sardorabdirayimov/adding-extra-datasets-to-main", "kernel_id": "23840721"}, {"ref": "sardorabdirayimov/tps-jan-2022-visualization", "kernel_id": "23552623"}, {"ref": "meetnagadia/tps-22-eda-prediction", "kernel_id": "23528754"}, {"ref": "mohammadhossein77/tps-jan2022-ploty-gridsearch-xgboost", "kernel_id": "23519689"}, {"ref": "farelarden/tabular-jan-2022-using-facebook-prophet", "kernel_id": "23523262"}, {"ref": "ameerhamza319/baseline-catboost-tps-jan-2k22", "kernel_id": "23660685"}, {"ref": "alehandro35/lightautoml-regression-task", "kernel_id": "23587649"}, {"ref": "marcocavaco/tabular-playground-train-model-using-pycaret", "kernel_id": "23656830"}, {"ref": "tariqchhussain/xgboost-optuna-tps-jan-2022", "kernel_id": "23796397"}, {"ref": "eugenebee/tps-jan22-phik-fe-discussion", "kernel_id": "23635623"}, {"ref": "hotdog1029/my-tabular-playground-series-jan-2022", "kernel_id": "23815647"}, {"ref": "danie1yan9/tps2022jan-a-short-and-brief-understanding", "kernel_id": "23525525"}, {"ref": "utsavk02/tabular-playground-series-jan-2022-eda", "kernel_id": "23594606"}, {"ref": "casati8/kaggle-tps-jan2022-fastai", "kernel_id": "23617972"}, {"ref": "masatomurakawamm/tps-jan2022-xgboost-and-optuna-baseline", "kernel_id": "23762715"}, {"ref": "masatomurakawamm/tps-jan2022-tensorflow-rnn-kerastuner-baseline", "kernel_id": "23869192"}, {"ref": "snehangsude/jan-2022-tps-explained-eda-v-1-0", "kernel_id": "23588703"}, {"ref": "satoshiss/tps-jan-with-xgboost", "kernel_id": "23546371"}, {"ref": "prateek1202/tps-jan2022", "kernel_id": "23741395"}, {"ref": "rhythmcam/use-py-timeseries-oof", "kernel_id": "23780849"}, {"ref": "rhythmcam/function-timeseris-oof", "kernel_id": "23779735"}, {"ref": "rhythmcam/tps-01-22-xgboost-optuna-basic", "kernel_id": "23640293"}, {"ref": "rhythmcam/tps-01-22-optuna-oof", "kernel_id": "23640001"}, {"ref": "rhythmcam/fastai-tabularpandas-tps-01-22", "kernel_id": "23846686"}, {"ref": "rhythmcam/tps-01-22-lightgbm-randomsearchcv-optimization", "kernel_id": "23876765"}, {"ref": "rhythmcam/time-series-data-eda", "kernel_id": "23518363"}, {"ref": "rhythmcam/tps-01-22-pycaret-lightgbm", "kernel_id": "23514817"}, {"ref": "rhythmcam/tps-01-22-pycaret-catboost", "kernel_id": "23515419"}, {"ref": "rhythmcam/tps-01-22-pycaret-xgboot", "kernel_id": "23515690"}, {"ref": "rhythmcam/pycaret-blend-models-tps-jan", "kernel_id": "23528542"}, {"ref": "ammarabbasi1040/tps-simple-eda-fe-modelling", "kernel_id": "23921415"}, {"ref": "srsses/tabular-playground-jan-2022-using-xgboost", "kernel_id": "23901179"}, {"ref": "nikhilsatani/tpg-0122", "kernel_id": "23984329"}, {"ref": "rizkykiky/tps-jan-2022", "kernel_id": "23868611"}, {"ref": "rizkykiky/tpsjan22-03-linear-model", "kernel_id": "23737910"}, {"ref": "rizkykiky/for-fun", "kernel_id": "23738644"}, {"ref": "junhyeok99/catboost-baseline", "kernel_id": "23512827"}, {"ref": "sarabhian/free-time-learning", "kernel_id": "23664231"}, {"ref": "quentincarle/tabular-playground-series-january-2022", "kernel_id": "23977250"}, {"ref": "takkimsncn/specific-items-sales-prediction", "kernel_id": "23942353"}, {"ref": "takkimsncn/sales-prediction-for-items", "kernel_id": "23960164"}, {"ref": "mitishaagarwal/tps-jan-data-analysis-visualization-the-data", "kernel_id": "23690494"}, {"ref": "xclimx/tps-jan2022-helps-capture-seasonality", "kernel_id": "23528247"}, {"ref": "abhigyandatta/eda-for-beginners-tps-jan22", "kernel_id": "23688270"}, {"ref": "ambrosm/tpsjan22-06-lightgbm-quickstart", "kernel_id": "23700935"}, {"ref": "ambrosm/tpsjan22-01-eda-which-makes-sense", "kernel_id": "23515804"}, {"ref": "ambrosm/tpsjan22-03-linear-model", "kernel_id": "23536599"}, {"ref": "ambrosm/tpsjan22-05-keras-quickstart", "kernel_id": "23585532"}, {"ref": "ambrosm/scaling-is-better-than-blending", "kernel_id": "23623043"}, {"ref": "vishalmishra1400/xgboost-hyperparameter-tuning", "kernel_id": "23607464"}, {"ref": "ebrahimhaquebhatti/eureka-eureka-visualizations", "kernel_id": "23520658"}, {"ref": "shashank069/ridge-lgbmregressor", "kernel_id": "23579215"}, {"ref": "mfedeli/tabular-playground-series-jan-2022", "kernel_id": "23522157"}, {"ref": "edwardakalarrywelch/hybrid-time-series-1", "kernel_id": "23954150"}, {"ref": "phuc16102001/tps-2022-xgboost", "kernel_id": "23977156"}, {"ref": "victordonjuan/tps-jan-2022-eda-feature-e-linear-model", "kernel_id": "23812415"}, {"ref": "anshulmehtakaggl/tps-jan-2022-eda", "kernel_id": "23711217"}, {"ref": "ox0000dead/tps-jan-22-dnn-for-tabular-with-smape", "kernel_id": "23641858"}, {"ref": "datarohitingole/tps-jan-2022-eda-catboostregressor", "kernel_id": "23549162"}, {"ref": "datarohitingole/tps-jan-2022-eda-multiple-model-testing", "kernel_id": "23552882"}, {"ref": "kushtrivedi14728/tabular-play-ground-jan-2022", "kernel_id": "23951107"}, {"ref": "sumeetbohra/tps-jan-22", "kernel_id": "23672627"}, {"ref": "sumeetbohra/eda-dataviz-fe-lightgbm", "kernel_id": "23675561"}, {"ref": "naokisugimura/tps-jan-2022-simple-catboost", "kernel_id": "23854854"}, {"ref": "naokisugimura/tps-jan-2022-quick-eda", "kernel_id": "23910982"}, {"ref": "naokisugimura/tps-jan-2022-feature-engineering-quickstart", "kernel_id": "23702993"}, {"ref": "abhishekaggarwal896/kaggleplayground", "kernel_id": "23567215"}, {"ref": "vvkhdk/used-data-from-worldbank-org-api-tps-jan-22", "kernel_id": "23919059"}, {"ref": "sfktrkl/tps-jan-2022-time-series", "kernel_id": "23622939"}, {"ref": "matweykai/eda-for-competition", "kernel_id": "23926043"}, {"ref": "kjw3226/tps-jan-2022-base-lightgbm", "kernel_id": "23666528"}, {"ref": "kjw3226/t-p-s-preprocessing-visualization-modeling", "kernel_id": "23690230"}, {"ref": "samuelcortinhas/tps-jan-22-eda-modelling", "kernel_id": "23642958"}, {"ref": "samuelcortinhas/tps-jan-22-quick-eda-hybrid-model", "kernel_id": "23966441"}, {"ref": "imnaho/tps-jan2022-simple-eda", "kernel_id": "23846466"}, {"ref": "imnaho/simple-xgboost-model", "kernel_id": "23660928"}, {"ref": "paveltrusov/tps-jan-2022-catboost-baseline", "kernel_id": "23920569"}, {"ref": "paveltrusov/tps-jan-2022-prophet", "kernel_id": "23912540"}, {"ref": "sathyakrishnan12/kaggle-tps-jan-12", "kernel_id": "23824770"}, {"ref": "andreabignardi/tps-jan-2022-fe-eda-regression-wip", "kernel_id": "23820485"}, {"ref": "andreabignardi/tps-jan-2022-fe-eda-encoding-xgboost-wip", "kernel_id": "23989212"}, {"ref": "mohamedayoubchettouh/tpsjan22-agglomeratemodel", "kernel_id": "23790928"}, {"ref": "mohamedayoubchettouh/tabularjan2022", "kernel_id": "23607988"}, {"ref": "lisyuan0930/tps-jan-2022-xgboost-gdp", "kernel_id": "23815691"}, {"ref": "maxencefzr/tps-jan22-eda-fe-simple-catboost", "kernel_id": "23523905"}, {"ref": "kztwt10/xgboost-tps-jan-2022-english", "kernel_id": "23718929"}, {"ref": "r0hn00/competition-1", "kernel_id": "23663889"}, {"ref": "yashvi132/tsp-jan22-fbprophet", "kernel_id": "23987042"}, {"ref": "paulreiners/loadpandasdataframe", "kernel_id": "24136907"}, {"ref": "adaubas/tpsjan22-advanced-linear-model-with-cci", "kernel_id": "24344651"}, {"ref": "uzdavinys/tps-22-jan-sklearn-desicion-tree", "kernel_id": "24070953"}, {"ref": "vijaykris/tabular-jan-22-regressor", "kernel_id": "24263952"}, {"ref": "cv13j0/google-search-data", "kernel_id": "24134376"}, {"ref": "rsesha/lazytransformer-demo", "kernel_id": "24673437"}, {"ref": "rsesha/jan-tps-simple-pipeline-with-xgb-7-44", "kernel_id": "24170275"}, {"ref": "rsesha/jan-tps-simple-pipeline-7-2-score", "kernel_id": "24166601"}, {"ref": "rumasinha/simpleregressionwithdnn", "kernel_id": "24269421"}, {"ref": "hari141v/tabular-playground-series-jan-2022-basic-eda-ipynb", "kernel_id": "24207862"}, {"ref": "anikishaev/tpsjan22-fb-prophet-6-12-private-score", "kernel_id": "24543618"}, {"ref": "anikishaev/tpsjan22-simple-ridgecv-4-0576-private-score", "kernel_id": "24358651"}, {"ref": "junkoda/holiday-kernel", "kernel_id": "24386259"}, {"ref": "peressim/tps-jan-2022-xgboost", "kernel_id": "24050883"}, {"ref": "siukeitin/tps012022-getting-quarterly-gdp-in-usd", "kernel_id": "24082227"}, {"ref": "siukeitin/tps012022-detrending-case-study-ii", "kernel_id": "24070092"}, {"ref": "siukeitin/tps012022-adding-an-exchange-rate-column", "kernel_id": "24136277"}, {"ref": "karthikbhandary2/automated-ensembling", "kernel_id": "24281899"}, {"ref": "chiranjeevbit/time-series-notebook", "kernel_id": "24287388"}, {"ref": "magicfox94/lstm-for-predict-number-of-item-sold", "kernel_id": "24215368"}, {"ref": "kavita5/prediction-using-xgbregressor", "kernel_id": "24564444"}, {"ref": "jazzbasscd/prophet-stock-market-data-kalman-filter-in-r", "kernel_id": "24237830"}, {"ref": "wxmkevin/tabular-playground-jan-2022-eda", "kernel_id": "24111498"}, {"ref": "haozhang607/tabular-playground-series-jan-2022", "kernel_id": "24272151"}, {"ref": "torii0139/stacking-baseline-and-quick-eda-tps-jan-2022", "kernel_id": "24042726"}, {"ref": "ayhampar/xgboost-score-5-59382", "kernel_id": "24096668"}, {"ref": "caneiro/tps-2022-01-feat-eng-h2o", "kernel_id": "24169462"}, {"ref": "aestheteaman01/tabular-playground-2022-storytelling-notebook-2", "kernel_id": "24219642"}, {"ref": "kibaelee/tpsjan24-eda-koreansub", "kernel_id": "24111554"}, {"ref": "asnikitin/lightautoml", "kernel_id": "24051157"}, {"ref": "anologicon/back-to-the-data-science", "kernel_id": "24098516"}, {"ref": "saraswatitiwari/tabular-playground-series-jan-22", "kernel_id": "24313260"}, {"ref": "jbomitchell/boltzmann-ensemble-kaggle-stores", "kernel_id": "24209304"}, {"ref": "adipif/tps-jan2022-a-little-dumb-easy-way", "kernel_id": "24048652"}, {"ref": "carlmcbrideellis/google-trends-data-for-kaggle-fi-no-se", "kernel_id": "24106305"}, {"ref": "sytuannguyen/tpsjan-2022-optimize-ridge-regression", "kernel_id": "24304663"}, {"ref": "zurriyatafatni/eda-linear-and-random-forest-regression", "kernel_id": "24171060"}, {"ref": "mayank00rastogi/tps-j22-mean-of-xgboost-catboost-lgbm", "kernel_id": "24312733"}, {"ref": "pvtrmalli/tps-jan-complete-eda", "kernel_id": "24062655"}, {"ref": "joppegeluykens/simple-feedforward-neural-net-with-pytorch", "kernel_id": "24262053"}, {"ref": "chikovalexander/tps-jan-2022-etna", "kernel_id": "24142608"}, {"ref": "quamarequbal/two-way-interaction", "kernel_id": "24401306"}, {"ref": "quamarequbal/tabular-playground-series-regression-algos", "kernel_id": "24301489"}, {"ref": "chachiawacef/series-using-stack-of-lgbm-catboost-xgboost", "kernel_id": "24157192"}, {"ref": "mohitludhiyani/tps012022-feature-engineering-hybrid-model", "kernel_id": "24153540"}, {"ref": "hikarumoriya/simple-catboost", "kernel_id": "24299694"}, {"ref": "jsdelira/tps-jan-22-linear-models-all-cases", "kernel_id": "24369364"}, {"ref": "sophieali/tps-jan-2022-hybrid-model-incl-gridsearch-tune", "kernel_id": "24108711"}, {"ref": "jorgeascencion/tps-2022-01-xgboost-regressor-optuna", "kernel_id": "24114584"}, {"ref": "mirenaborisova/tabular-playground-jan-2022-04", "kernel_id": "24245972"}, {"ref": "mirenaborisova/tabular-playground-jan-2022-03", "kernel_id": "24184146"}, {"ref": "teckmengwong/tps-jan-eda-time-series", "kernel_id": "24238063"}, {"ref": "stevenzhou905/tab-method-pt2", "kernel_id": "24194116"}, {"ref": "abdallamahmoudamin/tabular-playground-series-solution", "kernel_id": "24680595"}, {"ref": "juiroy/kaggle-competition-for-beginner", "kernel_id": "24049926"}, {"ref": "kdsharmaai/tps-jan-2022-multiple-linear-regression", "kernel_id": "24073207"}, {"ref": "kdsharmaai/tps-jan-2022-random-forest-reg", "kernel_id": "24152316"}, {"ref": "kdsharmaai/tps-jan-2022-xgbregressor", "kernel_id": "24152687"}, {"ref": "vishugupta0509/jan22playground", "kernel_id": "24280580"}, {"ref": "mustafamu/tps-jan-2022-cnn", "kernel_id": "24191559"}, {"ref": "pelegshilo/tps-jan-2022-blend-stacking-models", "kernel_id": "24304966"}, {"ref": "jordanevan/january-2022-playground-competition", "kernel_id": "24748802"}, {"ref": "amaneamane/eda-ml-for-beginner", "kernel_id": "24296379"}, {"ref": "fonlor/tabular-pg-with-ensemble-on-scikit-models", "kernel_id": "24259371"}, {"ref": "yushimnm/2022-01-pycaret", "kernel_id": "24011088"}, {"ref": "mahditavakol/jan22-visualization", "kernel_id": "24682455"}, {"ref": "hemeshrm/eda-tabular-series-01-22", "kernel_id": "24206512"}, {"ref": "quentincarle/tabular-data-playground-jan-2022-reviewed", "kernel_id": "24270082"}, {"ref": "m1y7k8/tps-jan-2022-eda-keras-smape", "kernel_id": "24136745"}, {"ref": "ambrosm/tpsjan22-09-the-overfitting-movie", "kernel_id": "24259995"}, {"ref": "ambrosm/tpsjan22-10-advanced-linear-model-with-cci", "kernel_id": "24315448"}, {"ref": "minhajulhoque/eda-xgboost-hyperparameter-tuning", "kernel_id": "24425974"}, {"ref": "himanshusirsat/tabular-play-jan22", "kernel_id": "24303241"}, {"ref": "alexandreayari/tps-01-22-catboost-w-pycaret", "kernel_id": "24295801"}, {"ref": "souravsahabec/eda-with-plotly-and-seaborn", "kernel_id": "24286376"}, {"ref": "hosseinbehjat/time-series-linearmodel-with-tps-jan-22", "kernel_id": "24344459"}, {"ref": "andrewgustyjrstudent/tabularplayground", "kernel_id": "24004749"}, {"ref": "pranalibose/tabularplaygroundseries-jan-starter-notebook", "kernel_id": "24074894"}, {"ref": "demko1/tabular-playground-xgboost", "kernel_id": "24191510"}, {"ref": "vadimabronin/tabular-playground-series-with-catboost", "kernel_id": "24220500"}, {"ref": "mohamedayoubchettouh/tpsjan22-finalsubmission", "kernel_id": "24315638"}, {"ref": "hyunwoozz/notebook8489f5ac1c", "kernel_id": "24037962"}, {"ref": "maxencefzr/tps-jan22-catboost-using-pycaret", "kernel_id": "24092409"}, {"ref": "imagimaniac/tabular-playground-series-competition-notebook", "kernel_id": "24121768"}, {"ref": "abdulravoofshaik/tps-jan-2022-random-forest-based-ensemble", "kernel_id": "24090029"}, {"ref": "abdulravoofshaik/ensemble-to-winning-solution-private-score", "kernel_id": "24429659"}, {"ref": "rohan1506/pandas-tips-tricks-tutorial", "kernel_id": "24268312"}, {"ref": "javigallego/tps-jan22-hybrid-model", "kernel_id": "24991748"}, {"ref": "carlmcbrideellis/tps-jan-2022-prophet-holidays-gdp-regressor", "kernel_id": "25158177"}, {"ref": "kjetilhauks/tps-jan-22-light-gbm-and-xgboost", "kernel_id": "25463699"}, {"ref": "rhythmcam/using-learning-curve-util", "kernel_id": "25549148"}, {"ref": "tanmaygte/retails-sales-forecasting-using-automl-flaml", "kernel_id": "27195812"}, {"ref": "danielib/tabular-playground-series-jun-2022", "kernel_id": "27853140"}, {"ref": "romaupgini/how-to-find-external-data-for-1-private-lb-4-53", "kernel_id": "27138700"}, {"ref": "romaupgini/zero-feature-engineering-with-upgini-pycaret", "kernel_id": "27410817"}, {"ref": "issactoast/tidymodels-random-forest-baseline", "kernel_id": "28068573"}, {"ref": "tylerchi/tabular-series-jan-2022-time-series-practice", "kernel_id": "28681515"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "jiangdingbang/tabular-playground-series-jan-2022", "kernel_id": "31485811"}, {"ref": "yakinoki/time-series-data-analysis-practice", "kernel_id": "40105343"}, {"ref": "dwijeshjigarbhaishah/ds1991-data-analytics", "kernel_id": "47063873"}, {"ref": "stpeteishii/set-julia-magic", "kernel_id": "51401176"}, {"ref": "cristhianccalah/tabular-playground-series-jan-2022-tfdf-r", "kernel_id": "54169556"}, {"ref": "riyaraizada/tabular-playground-series-jan-2022", "kernel_id": "54048884"}, {"ref": "sumanthmutyala/tabular-playground-series-jan-2022", "kernel_id": "61971345"}, {"ref": "leesstephanie/nbeatsx-for-kaggle-stores", "kernel_id": "73954216"}, {"ref": "hirokinoda/tps-jan-2022-prophet-baseline-prophet", "kernel_id": "77438275"}, {"ref": "hirokinoda/tps-jan-2022-prophet-prophet", "kernel_id": "78054320"}, {"ref": "nikupgini/how-to-find-external-data-for-1-private-lb-4-53", "kernel_id": "90704240"}, {"ref": "enesyama/timeseries-forecasting", "kernel_id": "109137750"}]}
{"competition_id": "33102", "kernels": [{"ref": "pablojaramilloj/useful-code-for-ds", "kernel_id": "22096220"}, {"ref": "alexryzhkov/tps-feb-22-lightautoml-pseudolabel", "kernel_id": "24421824"}, {"ref": "lucamassaron/basic-eda-and-model-to-start", "kernel_id": "24338366"}, {"ref": "paulreiners/bacteria-overfitting-and-underfitting", "kernel_id": "24422428"}, {"ref": "paulreiners/bacteria-stochastic-gradient-descent", "kernel_id": "24399880"}, {"ref": "michiexile/mvj-sample-solutions", "kernel_id": "24489767"}, {"ref": "ggopinathan/feb-tps-2022-eda-pycaret-modeling-simple-start", "kernel_id": "24626818"}, {"ref": "wti200/one-vs-rest-approach", "kernel_id": "24343739"}, {"ref": "sophieb/tps-feb-2022-eda", "kernel_id": "24350093"}, {"ref": "sugamkhetrapal/tps-feb-2022-1-06-eda-lux", "kernel_id": "24456995"}, {"ref": "sugamkhetrapal/tps-feb-2022-1-03-eda-autoviz", "kernel_id": "24456417"}, {"ref": "sugamkhetrapal/tps-feb-2022-1-04-eda-pandas-profiling", "kernel_id": "24456635"}, {"ref": "sugamkhetrapal/tps-feb-2022-1-05-eda-d-tale", "kernel_id": "24456816"}, {"ref": "sugamkhetrapal/tps-feb-2022-1-01-eda-dataprep", "kernel_id": "24456018"}, {"ref": "sugamkhetrapal/tps-feb-2022-1-02-eda-sweetviz", "kernel_id": "24456280"}, {"ref": "usharengaraju/tensorflow-tabtransformer", "kernel_id": "24345835"}, {"ref": "ifashion/adversarial-analysis-tps-2022-feb-lgbm", "kernel_id": "24396991"}, {"ref": "marcinstasko/big-data-pipelines-eager-looking-by-dask", "kernel_id": "24339482"}, {"ref": "tqrahman/tf-deep-neural-network-w-kfold", "kernel_id": "24626073"}, {"ref": "cv13j0/tps-multi-model-blend", "kernel_id": "24661932"}, {"ref": "cv13j0/extra-trees-classification-optuna-optimization", "kernel_id": "24425447"}, {"ref": "cv13j0/a-pycaret-model", "kernel_id": "24351521"}, {"ref": "rumasinha/basicnotebookwithxgboostandcv", "kernel_id": "24368515"}, {"ref": "thexyzt/intersection-between-training-and-test-sets", "kernel_id": "24429415"}, {"ref": "maulberto3/tps-feb-22-automl-1-line", "kernel_id": "24475318"}, {"ref": "maulberto3/tps-feb-22-feat-sel-w-gas", "kernel_id": "24353531"}, {"ref": "rogeriodelfim/tps-feb-2022-02-feature-engineering", "kernel_id": "24550789"}, {"ref": "rogeriodelfim/tps-feb-2022-01-eda-baseline-xgb-0-94297", "kernel_id": "24352202"}, {"ref": "rogeriodelfim/tps-feb-2022-03-tunning-hyperparameters-xgb", "kernel_id": "24773327"}, {"ref": "peressim/tps-feb-2022-xgboost", "kernel_id": "24811142"}, {"ref": "peressim/tps-feb-2022-eda", "kernel_id": "24809651"}, {"ref": "siukeitin/tps022022-known-data-generation-model-done", "kernel_id": "24833427"}, {"ref": "siukeitin/tps-022022-number-of-samples-used-in-the-public-lb", "kernel_id": "24578221"}, {"ref": "siukeitin/tps022022-what-is-causing-these-duplicates-csi", "kernel_id": "24486361"}, {"ref": "siukeitin/tps022022-generating-reference-fbc-spectra", "kernel_id": "24382622"}, {"ref": "rnepal2/tps-feb-22-getting-started-with-lightgbm", "kernel_id": "24346424"}, {"ref": "snnclsr/tps-feb-2022-hyperparameter-tuning-with-optuna", "kernel_id": "24345252"}, {"ref": "aussie84/classic-pca-for-visual-exploration-modeling", "kernel_id": "24567496"}, {"ref": "nnjjpp/tabular-playground-feb-2022-extra-trees", "kernel_id": "24999926"}, {"ref": "coenvalk/tps-feb-2022", "kernel_id": "24349612"}, {"ref": "maheswarareddyp/feb-2022-playground", "kernel_id": "24342483"}, {"ref": "buzzini/tps-feb-22-eda-predictions", "kernel_id": "24416467"}, {"ref": "docxian/tpg-2022-feb-visualizations-deep-dive", "kernel_id": "24397123"}, {"ref": "docxian/tpg-2022-feb-eda-gbm-starter", "kernel_id": "24339355"}, {"ref": "slythe/ensemble-hard-voting-et-svc-4-key-bacteria", "kernel_id": "24846173"}, {"ref": "slythe/tps-feb-22-analysis-of-paper-with-11-models", "kernel_id": "24362576"}, {"ref": "slythe/tps-feb22-dl-multi-classification-zscore", "kernel_id": "24406856"}, {"ref": "slythe/tps-feb-22-bacterial-z-scoring-clustering", "kernel_id": "24459570"}, {"ref": "slythe/deep-learning-bacteria-multiclassification-zscore", "kernel_id": "24505901"}, {"ref": "slythe/tps-feb22-bacteria-zscoring-w-feature-selection", "kernel_id": "24585475"}, {"ref": "rrrohit/fastai-starter-baseline", "kernel_id": "24352290"}, {"ref": "atrisaxena/extra-tress-playground-series-feb22", "kernel_id": "24476937"}, {"ref": "atrisaxena/let-s-do-voting-playground-series-feb22", "kernel_id": "24405261"}, {"ref": "ozlerhakan/tps-02-22-competition-analysis", "kernel_id": "24986197"}, {"ref": "nikhilkhetan/pseudo-labelling-tps-feb-2022", "kernel_id": "24510819"}, {"ref": "vladlee/tps-feb-2022-simple-eda", "kernel_id": "24394741"}, {"ref": "vladlee/tps-feb-2022-lgbm", "kernel_id": "24397331"}, {"ref": "vladlee/tps-feb-2022-lgbm-baseline", "kernel_id": "24350034"}, {"ref": "rvalieris/tabular-playg-feb2022", "kernel_id": "24834227"}, {"ref": "agorinenko/feb-2022-part2-cat-boost-classifier", "kernel_id": "24819846"}, {"ref": "agorinenko/feb-2022-part6-blending", "kernel_id": "24827548"}, {"ref": "agorinenko/feb-2022-part3-lgbm-classifier", "kernel_id": "24825922"}, {"ref": "agorinenko/feb-2022-part4-xgb-classifier", "kernel_id": "24826181"}, {"ref": "agorinenko/feb-2022-part5-random-forest-classifier", "kernel_id": "24826346"}, {"ref": "agorinenko/feb-2022-part1-exploratorydataanalysis", "kernel_id": "24637294"}, {"ref": "byeongjoon/tps-feb-eda-hypotheses-testing-modeling", "kernel_id": "24509669"}, {"ref": "samu2505/bacteria-dna-classification", "kernel_id": "24522700"}, {"ref": "meowmeowmeowmeowmeow/minimalistic-sklearn-baseline-0-965-lb", "kernel_id": "24342164"}, {"ref": "meowmeowmeowmeowmeow/gpu-accelerated-tensorflow-baseline-0-94-cv", "kernel_id": "24343759"}, {"ref": "meowmeowmeowmeowmeow/deep-embedding-learning-knn-0-99-cv", "kernel_id": "24429691"}, {"ref": "samir95/image-classification-approach", "kernel_id": "24640396"}, {"ref": "ritvik1909/feature-tokenizer-transformer", "kernel_id": "24484360"}, {"ref": "ritvik1909/tabular-resnet", "kernel_id": "24808173"}, {"ref": "kucsikz/tps2202-tensorflow-optimization-with-optuna-tpu", "kernel_id": "24667802"}, {"ref": "kucsikz/create-4-extratreeclassifiers-based-on-gcd-values", "kernel_id": "24701983"}, {"ref": "yerzhanimanmalik/extratrees-and-randomforest", "kernel_id": "24339379"}, {"ref": "haozhang607/tabular-playground-series-feb-2022", "kernel_id": "24908755"}, {"ref": "edoardoba/classify-bacteria-species-97-accuracy", "kernel_id": "24576334"}, {"ref": "joatom/tps-feb22-baseline", "kernel_id": "24369849"}, {"ref": "stpeteishii/tps0222-lgbm-predict-proba", "kernel_id": "24351058"}, {"ref": "stpeteishii/tps0222-visualize-importance", "kernel_id": "24913792"}, {"ref": "phanttan/eda-tpsfeb2022", "kernel_id": "24889867"}, {"ref": "mmellinger66/tps-feb-22-extratreeclassifier-cv-oof", "kernel_id": "24390603"}, {"ref": "mmellinger66/tps-feb-22-xgboost-optuna-cv-oof", "kernel_id": "24368390"}, {"ref": "mmellinger66/tps-feb-22-eda-lgbm-optuna-cv-oof", "kernel_id": "24363348"}, {"ref": "vivek468/3-fast-5-furious-working-with-heavy-datasets", "kernel_id": "24341674"}, {"ref": "rsizem2/tps-02-22-separating-high-low-resolution-data", "kernel_id": "24398455"}, {"ref": "rsizem2/tps-02-22-data-augmentation", "kernel_id": "24531202"}, {"ref": "claptar/trying-out-different-types-of-scaling", "kernel_id": "24965675"}, {"ref": "austinpowers/turn-it-into-a-toon-tps-feb-22", "kernel_id": "24404765"}, {"ref": "austinpowers/turn-it-into-a-toon-tps-feb-22-fastai-model", "kernel_id": "24430238"}, {"ref": "austinpowers/correctly-sample-a-huge-dataset-tps-feb-22", "kernel_id": "24701405"}, {"ref": "sdysch/bacteria-clf-randomforest-with-hyperopt-tuning", "kernel_id": "24953473"}, {"ref": "zhangcheche/a-simple-pytorch-neural-network-2022-tps-2", "kernel_id": "24841581"}, {"ref": "zhangcheche/a-simple-randomforest-baseline-2022-tps-2", "kernel_id": "24843541"}, {"ref": "legendsoul/tps-february-22-comprehensive-insight-of-eda", "kernel_id": "24381476"}, {"ref": "drcapa/tps-feb-2022-starter", "kernel_id": "24338894"}, {"ref": "hasanbasriakcay/tps-feb22-eda-ignore-important-cols", "kernel_id": "24354816"}, {"ref": "hasanbasriakcay/tps-feb22-pycaret-model-comparisons-0-97-lb", "kernel_id": "24358138"}, {"ref": "hasanbasriakcay/tps-feb22-pseudo-labels-stacking-0-97-lb", "kernel_id": "24681198"}, {"ref": "e0xextazy/tps-feb-2022-blending-knn-resnet-softvoting", "kernel_id": "24641266"}, {"ref": "oxzplvifi/tpsfeb22-et-knn-pseudolabel-lightautoml-ffnn", "kernel_id": "24992511"}, {"ref": "hamzaghanmi/train-test-286", "kernel_id": "24564363"}, {"ref": "hamzaghanmi/welcome-tps-feb-2022", "kernel_id": "24339229"}, {"ref": "vladmos/catboost-tabular", "kernel_id": "24416371"}, {"ref": "p7476762/xg-extree-dl-3-model-prediciton", "kernel_id": "24366854"}, {"ref": "tarunbisht11/tps-feb-2022-eda-tuning-and-baseline", "kernel_id": "24360043"}, {"ref": "jdranpariya/tabular-feb-2022", "kernel_id": "24405320"}, {"ref": "devsubhash/tps-feb-2022-eda-models-extratrees-rf-xgb", "kernel_id": "24413484"}, {"ref": "vpallares/can-we-reconstruct-the-lost-dna", "kernel_id": "24602333"}, {"ref": "vpallares/semi-supervised-learning-extratrees", "kernel_id": "24462263"}, {"ref": "vpallares/when-a-million-trees-is-not-enough", "kernel_id": "24343294"}, {"ref": "taranmarley/data-images-modified-shufflenet", "kernel_id": "24580426"}, {"ref": "taranmarley/pycaret-lightgbm-applied-with-metrics", "kernel_id": "24474398"}, {"ref": "taranmarley/eda-and-extra-trees-prediction", "kernel_id": "24445119"}, {"ref": "saraswatitiwari/tps-feb-2022", "kernel_id": "24636791"}, {"ref": "saraswatitiwari/tps-feb-22", "kernel_id": "24903426"}, {"ref": "berkkarabilliolu/tpsfeb22-basic-eda-modeling", "kernel_id": "24423424"}, {"ref": "mohitsahal/tensorflow-decision-forests", "kernel_id": "24454849"}, {"ref": "mohitsahal/soft-voting-tsp-feb", "kernel_id": "24355871"}, {"ref": "mohitsahal/eda-using-shap-with-feature-interaction-feb-2022", "kernel_id": "24340728"}, {"ref": "arjunprasadsarkhel/tps-feb-k-best-features", "kernel_id": "24414206"}, {"ref": "sytuannguyen/ensemble-lgbm-catboost-xgb", "kernel_id": "24383147"}, {"ref": "sytuannguyen/speed-up-and-avoid-oom-issues", "kernel_id": "24384054"}, {"ref": "sytuannguyen/avoid-oom-issues-with-pickle", "kernel_id": "24386818"}, {"ref": "sytuannguyen/early-ensemble", "kernel_id": "24371979"}, {"ref": "sytuannguyen/extratree-optimization-with-optuna", "kernel_id": "24367066"}, {"ref": "sytuannguyen/how-to-generate-feature-names", "kernel_id": "24365340"}, {"ref": "sytuannguyen/dnn-baseline", "kernel_id": "24420293"}, {"ref": "sytuannguyen/model-comparison-using-pycaret", "kernel_id": "24364750"}, {"ref": "sytuannguyen/extratreeclassifier", "kernel_id": "24364378"}, {"ref": "sytuannguyen/eda-lgbm-model", "kernel_id": "24345061"}, {"ref": "sytuannguyen/tps-feb-2022-a-review", "kernel_id": "24533653"}, {"ref": "sytuannguyen/eda-extratree-pca", "kernel_id": "24832716"}, {"ref": "sytuannguyen/cluster-distributions-train-vs-test", "kernel_id": "24883874"}, {"ref": "khkuggle/easy-and-fast-eda-and-modeling-for-tps-feb-22", "kernel_id": "24357346"}, {"ref": "antonellomartiello/tps0222-tensorflow-random-forest", "kernel_id": "24380634"}, {"ref": "akioonodera/tps-feb2022-lgbm-cls-multiclass", "kernel_id": "24353990"}, {"ref": "robertturro/very-simple-neural-network-model", "kernel_id": "24790798"}, {"ref": "nancysamuel/tps-feb2022-eda", "kernel_id": "24368697"}, {"ref": "muhammedhamzamalik/tps-feb-22-0-98684-score", "kernel_id": "24389225"}, {"ref": "muhammedhamzamalik/tps-feb-22-optimized", "kernel_id": "24420765"}, {"ref": "mochamadajipangestu/benefit-scaling-data-for-accuracy-mlp-logistic", "kernel_id": "24823949"}, {"ref": "mayank00rastogi/tpsf22-extra-trees-classifier-with-optimization", "kernel_id": "24644801"}, {"ref": "anmolmittalll/tab-feb-22-eda-feature-selection-modelling", "kernel_id": "24355478"}, {"ref": "boopathymsse/tps-feb22-xgboost-with-hyper-parameter-tuning", "kernel_id": "24423542"}, {"ref": "egorovalexeyd/tps-2202-0-9878-trees-additional-bias", "kernel_id": "24802805"}, {"ref": "vanguarde/tps-feb22-deep-eda-classifier-submission", "kernel_id": "24338528"}, {"ref": "cabaxiom/tps-feb-2022-eda-lgbm-etc-clustering", "kernel_id": "24648252"}, {"ref": "quamarequbal/tabular-playground-series-feb-2022", "kernel_id": "24553092"}, {"ref": "kigett/genomic-analysis-of-bacteria", "kernel_id": "24919019"}, {"ref": "remekkinas/bacteria-image-conv2d-cv-grad-cam", "kernel_id": "24460390"}, {"ref": "remekkinas/ovo-from-scratch", "kernel_id": "24483203"}, {"ref": "remekkinas/super-learner-ensemble-extree-tuned-lda-umap", "kernel_id": "24338270"}, {"ref": "remekkinas/votingclassifier-soft-hard", "kernel_id": "24383202"}, {"ref": "remekkinas/one-vs-one-and-rest", "kernel_id": "24387638"}, {"ref": "remekkinas/des-knoare-and-knoaru-code-minimal", "kernel_id": "24385468"}, {"ref": "ranjeetshrivastav/tps-feb-22-lightgbm", "kernel_id": "24352299"}, {"ref": "yihaol1/tabular-playground-series-feb-2022-1d-resnet", "kernel_id": "24748562"}, {"ref": "agpriyanka/simplest-random-forest", "kernel_id": "24531590"}, {"ref": "towhidultonmoy/tps-feb-2022-automl-autogluon", "kernel_id": "24458312"}, {"ref": "towhidultonmoy/tps-feb-22-autoxgb", "kernel_id": "24521535"}, {"ref": "chaudharypriyanshu/febtabular-eda-fast-baseline", "kernel_id": "24355506"}, {"ref": "arindamroy23/experiment-explaination-eda-feature-selection", "kernel_id": "24341032"}, {"ref": "arindamroy23/this-competition-for-dummies", "kernel_id": "24599250"}, {"ref": "gavisr/tpsfeb22-lgbm-for-beginners", "kernel_id": "24346060"}, {"ref": "tausifiqbal10/eda-pca-tfdataset-low-ram-usage-ann", "kernel_id": "24806015"}, {"ref": "shivijaiswal/tabular-playground-series", "kernel_id": "24999530"}, {"ref": "lordozvlad/fast-random-forest-using-scikit-learn-intelex", "kernel_id": "24357909"}, {"ref": "munumbutt/extratrees-starter", "kernel_id": "24349285"}, {"ref": "munumbutt/extratrees-optuna-hyperparameter-tuning", "kernel_id": "24360489"}, {"ref": "munumbutt/extratrees-estimator-optimization", "kernel_id": "24366082"}, {"ref": "munumbutt/extratrees-stratifiedkfold-memory-optimization", "kernel_id": "24396434"}, {"ref": "tracyporter/code-with-me-tab-feb-22", "kernel_id": "24342084"}, {"ref": "kellibelcher/genetic-analysis-of-bacteria-with-pca", "kernel_id": "24580536"}, {"ref": "cinciadedadoscomr/lightgbm-classifier-very-simple-and-fast", "kernel_id": "24720738"}, {"ref": "venkatkumar001/tps-1-initial-adaboost", "kernel_id": "24409775"}, {"ref": "kavehshahhosseini/tps-feb-22-autoencoder-dimensionality-reduction", "kernel_id": "24362904"}, {"ref": "sanskriti17/predict-bacteria-randomforest", "kernel_id": "24825056"}, {"ref": "sophieali/simple-neural-net-model", "kernel_id": "24738569"}, {"ref": "sophieali/quickly-comparing-models-using-pycaret", "kernel_id": "24838320"}, {"ref": "sophieali/hyperparameter-tuning-keras-dnn", "kernel_id": "24790942"}, {"ref": "ankitkalauni/nnnnnnnnn", "kernel_id": "24338554"}, {"ref": "rudragujarathi/tps-feb-2022-bacteria-classification", "kernel_id": "24776926"}, {"ref": "jorgeascencion/tps-feb22-kneighborsclassifier-optuna-optimiz", "kernel_id": "24722499"}, {"ref": "mirenaborisova/tabular-playground-feb-2022-17", "kernel_id": "24891702"}, {"ref": "mirenaborisova/tabular-playground-series-feb-2022-09", "kernel_id": "24781388"}, {"ref": "mirenaborisova/tps-feb-22-lightautoml-0-99026", "kernel_id": "24824430"}, {"ref": "mirenaborisova/tabular-playground-feb-2022-08", "kernel_id": "24666776"}, {"ref": "mirenaborisova/tabular-playground-feb-2022-01", "kernel_id": "24391345"}, {"ref": "mirenaborisova/tabular-playground-feb-2022-06", "kernel_id": "24559880"}, {"ref": "mirenaborisova/tabular-playground-feb-2022-04", "kernel_id": "24536701"}, {"ref": "mirenaborisova/tabular-playground-feb-2022-05", "kernel_id": "24544582"}, {"ref": "luisramrez/playground-february2022-some-unfinished-eda", "kernel_id": "24802788"}, {"ref": "rocklen/tabular-playground-series-feb-2022", "kernel_id": "24988672"}, {"ref": "teckmengwong/tpsfeb22-dcn-baseline", "kernel_id": "24343672"}, {"ref": "teckmengwong/tpsfeb22-soft-voting-baseline", "kernel_id": "24350788"}, {"ref": "teckmengwong/lb-probe", "kernel_id": "24576798"}, {"ref": "teckmengwong/extra-blender", "kernel_id": "24691439"}, {"ref": "arunasivapragasam/tps-feb-2022-random-forest", "kernel_id": "24540213"}, {"ref": "mhslearner/tps-feb-2022-lgbm-pseudo-labeling", "kernel_id": "24340960"}, {"ref": "mahmoudlimam/tabular-feb-22-competition-pca-random-forest", "kernel_id": "24822921"}, {"ref": "adamml/classify-bacteria-species-with-acc-98-tps-feb22", "kernel_id": "24696711"}, {"ref": "lordxerxes/emms-tabular-playground-series", "kernel_id": "24463387"}, {"ref": "felipedutralisboa/catboost-starter", "kernel_id": "24344829"}, {"ref": "felipedutralisboa/tps-feb-extratree-labeling", "kernel_id": "24365074"}, {"ref": "sergiosaharovskiy/tps-feb-2022-fast-start-eda-pytorch-model", "kernel_id": "24339495"}, {"ref": "kartushovdanil/tps-feb-22-advanced-eda", "kernel_id": "24338899"}, {"ref": "akshayr009/classify-10-different-bacteria", "kernel_id": "24757858"}, {"ref": "akshayr009/tabular-playground-series1", "kernel_id": "24674748"}, {"ref": "alyalsamal/bagging-extra-tree", "kernel_id": "24382571"}, {"ref": "pasuvulasaikiran/lightgbm-basic", "kernel_id": "24361722"}, {"ref": "pasuvulasaikiran/lightgbm-focal-loss", "kernel_id": "24363259"}, {"ref": "pasuvulasaikiran/automltabular-feb", "kernel_id": "24433359"}, {"ref": "kartik2khandelwal/stratified-kfold-with-knn-improved-score", "kernel_id": "24410866"}, {"ref": "dmitryuarov/forest-of-extra-trees-0-9895-up-to-4th-place", "kernel_id": "24386873"}, {"ref": "ayoubchaoui/lightgbm-vsxgboost-vs-castboost", "kernel_id": "24371507"}, {"ref": "ayoubchaoui/extratreesclassifier-vs-randomforestclassifier", "kernel_id": "24411432"}, {"ref": "sardorabdirayimov/ipython-beyond-python", "kernel_id": "24677007"}, {"ref": "odins0n/tps-feb-22-eda-modelling", "kernel_id": "24343751"}, {"ref": "odins0n/tps-feb-22-h20-automl", "kernel_id": "24338914"}, {"ref": "animeshrockn/playground-feb-1", "kernel_id": "24544055"}, {"ref": "mustafamu/tabular-playground-series-feb-2022-cnn", "kernel_id": "24620548"}, {"ref": "mustafamu/tps-feb-2022-using-extratreesclassifier", "kernel_id": "24625065"}, {"ref": "pelegshilo/tps-feb2022-eda-why-do-we-have-duplicate-data", "kernel_id": "24411121"}, {"ref": "pelegshilo/knn-quickstart", "kernel_id": "24421097"}, {"ref": "cristianminas/xgbclassifier-optuna", "kernel_id": "24423579"}, {"ref": "cristianminas/extratreesclassifier-probs", "kernel_id": "24402668"}, {"ref": "cristianminas/extratreesclassifier-baseline-kfold", "kernel_id": "24400140"}, {"ref": "cristianminas/xgbclassifier-baseline-kfold", "kernel_id": "24400179"}, {"ref": "cristianminas/eda-kfold", "kernel_id": "24389901"}, {"ref": "tariqchhussain/xgboost-tps-feb-2022-wip", "kernel_id": "24339413"}, {"ref": "tariqchhussain/xgboost-optuna-k-fold-cv-tps-feb-2022", "kernel_id": "24873524"}, {"ref": "mahdiislam/tabular-february", "kernel_id": "24504956"}, {"ref": "casati8/kaggle-tps-feb2022-fastai-vae", "kernel_id": "24536065"}, {"ref": "casati8/kaggle-tps-feb2022-fastai", "kernel_id": "24359303"}, {"ref": "raj401/titanic-optuna-level1-round1-nn", "kernel_id": "24807367"}, {"ref": "raj401/simple-clean-eda-tps-feb", "kernel_id": "24386257"}, {"ref": "raj401/level2-round1-preprocessing", "kernel_id": "24519559"}, {"ref": "alexeykolobyanin/tps-feb-knn-with-sklearnex-13x-speedup", "kernel_id": "24481494"}, {"ref": "ashaykatrojwar/extra-trees-and-lgbm-with-kfold-cross-validation", "kernel_id": "24865091"}, {"ref": "rhythmcam/tps-02-22-catboost-simple-baseline", "kernel_id": "24538456"}, {"ref": "rhythmcam/tps-02-22-xgb-simple-baseline", "kernel_id": "24518391"}, {"ref": "rhythmcam/pandas-basic-duplicated-usage", "kernel_id": "24965516"}, {"ref": "rhythmcam/make-pseudo-labeling-dataframe", "kernel_id": "24767017"}, {"ref": "rhythmcam/public-score-ensemble-tps-feb-22", "kernel_id": "24775813"}, {"ref": "rhythmcam/function-pseudo-labeling", "kernel_id": "24785418"}, {"ref": "rhythmcam/tps-02-22-autogluon-baseline", "kernel_id": "24592820"}, {"ref": "rhythmcam/automl-tps-02-22-flaml-prediction", "kernel_id": "24634238"}, {"ref": "rhythmcam/tps-02-22-pycaret-automl-prediction", "kernel_id": "24733315"}, {"ref": "rhythmcam/tps-02-22-pytorch-tabnet-prediction", "kernel_id": "24731709"}, {"ref": "bartmaciszewski/support-vector-machines", "kernel_id": "24799233"}, {"ref": "arashayat/tabular-feb", "kernel_id": "24460361"}, {"ref": "roberterffmeyer/tps-feb-2022-ann", "kernel_id": "24764732"}, {"ref": "roberterffmeyer/tps-feb-2022-only-4-features-a-t-c-g", "kernel_id": "24686226"}, {"ref": "ammarabbasi1040/tps-feb22-eda-modelling-extratrees-97acc", "kernel_id": "24410375"}, {"ref": "martynovandrey/in-search-of-the-golden-feature-tps-feb-22-eda", "kernel_id": "24627148"}, {"ref": "martynovandrey/et-cv-clustering", "kernel_id": "24620902"}, {"ref": "martynovandrey/four-models-one-for-each-gcd", "kernel_id": "24819220"}, {"ref": "martynovandrey/quick-comparison-of-classifiers", "kernel_id": "24936545"}, {"ref": "bentorchakarim/augmented-eda-correlations-emphasize", "kernel_id": "24393161"}, {"ref": "karlpetz/first-bacteria-classification-competition-model", "kernel_id": "24567962"}, {"ref": "sayansh001/bacteria-genetic-eda-modelling-lgbm", "kernel_id": "24964291"}, {"ref": "m1y7k8/tps-feb-2022-eda-classifier-rf-vs-et-bagging", "kernel_id": "24593347"}, {"ref": "ambrosm/tpsfeb22-02-postprocessing-against-the-mutants", "kernel_id": "24388071"}, {"ref": "ambrosm/tpsfeb22-01-eda-which-makes-sense", "kernel_id": "24341650"}, {"ref": "ambrosm/tpsfeb22-03-clustering-improves-the-predictions", "kernel_id": "24653598"}, {"ref": "ambrosm/tpsfeb22-exploiting-the-flawed-random-generation", "kernel_id": "24973469"}, {"ref": "jiprud/simple-submission-xgb-light-gbm", "kernel_id": "24782884"}, {"ref": "dcrowd/xgboost-model-first-comp-keep-improving", "kernel_id": "24790913"}, {"ref": "danielkondo/a-simple-model-for-tabular-pg-feb-22", "kernel_id": "24681199"}, {"ref": "ebrahimhaquebhatti/pseudo-labeling", "kernel_id": "24721221"}, {"ref": "himanshusirsat/tabular-play-feb-22", "kernel_id": "24339927"}, {"ref": "alexandreayari/tps-02-22-extratrees-gcd-memory-opti", "kernel_id": "24344116"}, {"ref": "edwardakalarrywelch/understanding-ensemble-models", "kernel_id": "24523350"}, {"ref": "sahilzawar/bagging-with-extratree-classification", "kernel_id": "24867989"}, {"ref": "irohny97/pca-nn-classifier", "kernel_id": "24340022"}, {"ref": "sahilrajpal121/dimensionality-reduction-viz", "kernel_id": "24457423"}, {"ref": "hopeowens/principal-component-bacterial-genetic-analysis", "kernel_id": "24932880"}, {"ref": "kalelpark/tps-feb-2022-compare-models-good-idea-ac-96-9", "kernel_id": "24384527"}, {"ref": "arshdeepsingh6991/tpsfeb22-4-extra-trees-classifier-with-gcd", "kernel_id": "24702832"}, {"ref": "kushtrivedi14728/an-antibiotic-of-mg-extratree", "kernel_id": "24378965"}, {"ref": "andreal314159/tps-feb-2022-bacteria-qualification", "kernel_id": "24391126"}, {"ref": "naokisugimura/tps-feb-2022-simple-extratree", "kernel_id": "24360302"}, {"ref": "tatyy555/tps-feb-2022-bacteria-species-keras-conv1d", "kernel_id": "24504208"}, {"ref": "tatyy555/tps-feb-2022-bacteria-species-keras-best-tune", "kernel_id": "24450239"}, {"ref": "tatyy555/tps-feb-2022-bacteria-species-keras-tuner", "kernel_id": "24565737"}, {"ref": "minassunmsm2/eda-basic", "kernel_id": "24418031"}, {"ref": "max1mum/extra-trees-cv-voting", "kernel_id": "24342381"}, {"ref": "leehomhuang/simple-k-neighbors", "kernel_id": "24666800"}, {"ref": "sfktrkl/tps-feb-2022", "kernel_id": "24400417"}, {"ref": "lovroselic/dna-segments-feb-2022-ls-v3", "kernel_id": "24436629"}, {"ref": "samuelcortinhas/tps-feb-22-model-for-train-test-drift", "kernel_id": "24488358"}, {"ref": "gopalgoyal612002/tps-feb-22-clustering-pca-auto-encoder-keras", "kernel_id": "24722439"}, {"ref": "gopalgoyal612002/tps-feb1-knn-for-beginners", "kernel_id": "24691734"}, {"ref": "imnaho/predict-with-tensorflow-keras", "kernel_id": "24691240"}, {"ref": "imnaho/2022feb-tps", "kernel_id": "24587273"}, {"ref": "paveltrusov/tps-feb-2022-in-45-lines-of-code", "kernel_id": "24671429"}, {"ref": "thomaspagesy/30-tensorflow-2d-convnet-blending", "kernel_id": "24678344"}, {"ref": "nilpatil299/notebook4556a45a3d", "kernel_id": "24887290"}, {"ref": "kaggleqrdl/quick-estimators-check", "kernel_id": "24348704"}, {"ref": "zwartfreak/tps-with-neural-network", "kernel_id": "24572613"}, {"ref": "himanshunayal/tps-feb-2022-xgboost-optuna", "kernel_id": "24964815"}, {"ref": "mohamedayoubchettouh/tps-feb22-distributionblur", "kernel_id": "24641807"}, {"ref": "lisyuan0930/tps-feb-resnet", "kernel_id": "24505958"}, {"ref": "nitishkumar3099/basic-random-forest-classifier-tps-feb2022", "kernel_id": "24474679"}, {"ref": "nitishkumar3099/tps-feb-2022-neuralnetwork-and-k-folds-working", "kernel_id": "24946912"}, {"ref": "nitishkumar3099/tps-feb-2022-neural-network-feature-selection", "kernel_id": "24929261"}, {"ref": "nitishkumar3099/tpf-feb-2022-fork-of-neuralnetwork-and-k-folds", "kernel_id": "24964722"}, {"ref": "paulomarquies/tps-feb-2022-pycaret-and-extra-trees-classifier", "kernel_id": "24766008"}, {"ref": "mustafakeser4/xgb-and-lgbm-with-gpu-eda-pca", "kernel_id": "24847952"}, {"ref": "rajnishkumar546/tabular-playgound-feb2022", "kernel_id": "24829488"}, {"ref": "dulithajayakodige/simple-ml-model-to-predict-bacteria-type", "kernel_id": "24524025"}, {"ref": "maxencefzr/tps-feb22-eda-extratrees", "kernel_id": "24363514"}, {"ref": "abdulravoofshaik/tpsfeb22-randomforest-cluster-info", "kernel_id": "24456395"}, {"ref": "abdulravoofshaik/denoising-autoencoder-lb-98-9", "kernel_id": "24873563"}, {"ref": "abdulravoofshaik/tpsfeb2022-scaling-should-we-use-it", "kernel_id": "24788572"}, {"ref": "abdulravoofshaik/clustering-extra-tree-lb-98-47", "kernel_id": "24734702"}, {"ref": "abdulravoofshaik/randomforest-extratree-stacked-lb-94-1", "kernel_id": "24915016"}, {"ref": "siaa512/eda-plus-basic-models-comparison", "kernel_id": "24621111"}, {"ref": "siaa512/cv-comparison-of-sklearn-lgbm-catboost-xgboost", "kernel_id": "24797675"}, {"ref": "siaa512/pca-plus-cv", "kernel_id": "24986072"}, {"ref": "siaa512/pca-plus-extratreesclassifier", "kernel_id": "24989069"}, {"ref": "lszlbebesi/playing-with-bacteria-data", "kernel_id": "24811016"}, {"ref": "winsonrong/tps-feb2022-part2", "kernel_id": "24992851"}, {"ref": "winsonrong/tps-feb2022-part1", "kernel_id": "24540531"}, {"ref": "slythe/tensorflow-functional-api-neural-network", "kernel_id": "25001942"}, {"ref": "swagician/feb-r-neural-jamboree", "kernel_id": "25013266"}, {"ref": "adegladius/tp-feb-2022-using-denoising-autoencoder-network", "kernel_id": "25012301"}, {"ref": "blueotter99/tps-feb-extree-knn-nn-lgbm-ensemble", "kernel_id": "25014815"}, {"ref": "coleuhlig/notebooka580f87ed1", "kernel_id": "25143370"}, {"ref": "vadimmaklakov/tabular-playground-series-feb-2022-simple-mlp", "kernel_id": "26872852"}, {"ref": "daveyw164/notebookf1847f691b", "kernel_id": "26396853"}, {"ref": "purna135/bacteria-classification-logistic-regression", "kernel_id": "26505305"}, {"ref": "rajeshsingh3474/bac-log-reg", "kernel_id": "26634544"}, {"ref": "rajeshsingh3474/bacteria-classification-logistic-regression", "kernel_id": "26634290"}, {"ref": "akmalmir/clustering-with-pycaret-for-beginners-tps-07-2022", "kernel_id": "28398501"}, {"ref": "ashutoshsinha/february-2022-tabular-playground-bacteria-species", "kernel_id": "28329872"}, {"ref": "philboaz/bacteria-tps-022", "kernel_id": "29124347"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "atrayeedasgupta/genetic-analysis-using-pca", "kernel_id": "38409400"}, {"ref": "rashmikumari19233/bacteria-classification-project", "kernel_id": "42153424"}, {"ref": "mennaelsayed1/bacterial-antibiotic-resistance", "kernel_id": "58070666"}, {"ref": "kavya269/amr-in-pneumonia", "kernel_id": "66816358"}, {"ref": "shutodoi63/notebookcf06174142", "kernel_id": "85941310"}, {"ref": "enhaya/datascience-playground", "kernel_id": "86352023"}, {"ref": "mk0916/2-000-trials", "kernel_id": "86385446"}, {"ref": "kubotakeizo/datascience-playground-feb-2022-logistic-kubota", "kernel_id": "86386296"}, {"ref": "harukifukui/datascience-playground", "kernel_id": "86386318"}, {"ref": "shutodoi63/notebook09b252a679", "kernel_id": "87839336"}, {"ref": "mk0916/notebookf565d91ea6", "kernel_id": "87339338"}, {"ref": "kubotakeizo/datascience-playground-feb2022-randomforest-kubota", "kernel_id": "87508424"}]}
{"competition_id": "33103", "kernels": [{"ref": "kritidoneria/mljar-automl-tps-mar-22", "kernel_id": "21803277"}, {"ref": "yogeshkaushik/tabular-playgrounds-series-mar2022-eda", "kernel_id": "24175774"}, {"ref": "rohan1506/optimizing-pandas-like-a-pro", "kernel_id": "24438047"}, {"ref": "alexryzhkov/lightautoml-with-fe-tps-mar-22", "kernel_id": "25091914"}, {"ref": "inversion/tps-mar-22-cyclical-features", "kernel_id": "25030461"}, {"ref": "paddykb/tps-2022-03-eda-tableau", "kernel_id": "25119150"}, {"ref": "wti200/advanced-mean-approaches", "kernel_id": "25039361"}, {"ref": "nikkifitz/playground-mar22-sub-1-linear-regression-model", "kernel_id": "25037493"}, {"ref": "nikkifitz/playground-mar22-sub2-3-gradient-boosting", "kernel_id": "25336980"}, {"ref": "nulldata/3-simple-pandas-tricks-for-better-life", "kernel_id": "25183415"}, {"ref": "ifashion/tps-mar-2022-forecast-based-on-yesterday", "kernel_id": "25036035"}, {"ref": "ifashion/tps-mar2022-single-xgb-lb-4-95-run-time-60s", "kernel_id": "25614733"}, {"ref": "ifashion/tps-mar2022-tabnet", "kernel_id": "25623638"}, {"ref": "ifashion/tps-mar2022-median-ensemble", "kernel_id": "25708577"}, {"ref": "ifashion/tps-mar2022-single-lgbm-lb-4-91-run-time-91s", "kernel_id": "25678388"}, {"ref": "tariqph/tps-mar-22-visualizing-the-data", "kernel_id": "25616160"}, {"ref": "karthickp6/eda-tps-mar22", "kernel_id": "25040592"}, {"ref": "cv13j0/tps-mar-2022-a-simple-gbt-model", "kernel_id": "25126480"}, {"ref": "cv13j0/tps-mar-2022-tracking-experiments", "kernel_id": "25477008"}, {"ref": "thefringthing/tps-march-2022-lightgbm-with-tidymodels", "kernel_id": "25676756"}, {"ref": "thalesgaluchi/march-2022-playground-start-exploring", "kernel_id": "25056341"}, {"ref": "thalesgaluchi/timeseries-xgboost-101", "kernel_id": "25082597"}, {"ref": "maulberto3/tps-mar-2022-scikit-simple-pipelines", "kernel_id": "25293598"}, {"ref": "maulberto3/tps-mar-2022-dimensionality-reduction-tour", "kernel_id": "25218443"}, {"ref": "maulberto3/tps-mar-2022-roads-heatmaps", "kernel_id": "25077483"}, {"ref": "maulberto3/tps-mar-2022-roads-outlier-detection", "kernel_id": "25122058"}, {"ref": "jonigooner/pycaret-spot-checking", "kernel_id": "25030814"}, {"ref": "davidhguerrero/gradient-boost-optuna-and-model-errors", "kernel_id": "25174902"}, {"ref": "peressim/tps-march-2022", "kernel_id": "25328237"}, {"ref": "peressim/tps-mar-2022-transformer-with-time2vec", "kernel_id": "25510156"}, {"ref": "peressim/tps-mar-2022-xgboost", "kernel_id": "25603181"}, {"ref": "sourav2pal/traffic", "kernel_id": "25144759"}, {"ref": "siukeitin/tps032022-visualizing-the-roadways-network", "kernel_id": "25052642"}, {"ref": "ottpocket/feature-selection-notebook", "kernel_id": "25828737"}, {"ref": "ottpocket/wide-neural-predictions-with-optuna", "kernel_id": "25698011"}, {"ref": "ottpocket/encodings-and-lags", "kernel_id": "25799241"}, {"ref": "sivachandran123/march-2022-ver1", "kernel_id": "25726307"}, {"ref": "nnjjpp/tps-mar-2022-rfr", "kernel_id": "25053613"}, {"ref": "coenvalk/march-2022-tps-baseline", "kernel_id": "25220166"}, {"ref": "jwallib/clustering-morning-commutes", "kernel_id": "25065676"}, {"ref": "ashishtop/stats-regression", "kernel_id": "25344305"}, {"ref": "buzzini/tps-mar-22-eda", "kernel_id": "25099273"}, {"ref": "docxian/tpg-2022-mar-visual-eda", "kernel_id": "25154722"}, {"ref": "pranesh97/march-playground", "kernel_id": "25221725"}, {"ref": "slythe/tps-mar-22-recursive-lag-features-lgb", "kernel_id": "25135647"}, {"ref": "slythe/tps-mar-22-recursive-lag-features-catboost", "kernel_id": "25109445"}, {"ref": "slythe/fight-night-ml-vs-mathematical-modelling", "kernel_id": "25059947"}, {"ref": "slythe/correlation-analysis-with-rolling-recursive", "kernel_id": "25196948"}, {"ref": "slythe/pivot-lag-recursive-w-residual-perturbing", "kernel_id": "25294249"}, {"ref": "suddharshan/traffic-jam-eda-tps-march-2022", "kernel_id": "25134123"}, {"ref": "alenic/only-median-lb-4-926", "kernel_id": "25622355"}, {"ref": "dwoodlock/notebook2e8b91b564", "kernel_id": "25041958"}, {"ref": "huseyincot/without-machine-learning-pick-the-means", "kernel_id": "25285775"}, {"ref": "huseyincot/roadways-trend-analysis", "kernel_id": "25317382"}, {"ref": "matthewszhang/tps-march-automl-pycaret-and-feature-engineering", "kernel_id": "25030391"}, {"ref": "matthewszhang/tps-march-pytorch-with-gpu", "kernel_id": "25335844"}, {"ref": "samu2505/xgboost-rocks", "kernel_id": "25204018"}, {"ref": "vishnukarthiklu/tps-3-basic-guide-for-modelling", "kernel_id": "25207234"}, {"ref": "vishnukarthiklu/tps-3-quick-and-detailed-eda", "kernel_id": "25002833"}, {"ref": "harsh2040/model-prediction", "kernel_id": "25558772"}, {"ref": "gazu468/eda-and-modeling-lb-5-264", "kernel_id": "25033202"}, {"ref": "meancoder/martynov-andrey-preprocessing-deep-learning", "kernel_id": "25263083"}, {"ref": "bvarkoly/tabular-playground-2022-march", "kernel_id": "25423610"}, {"ref": "lolienca/simple-eda-and-visualization", "kernel_id": "25289844"}, {"ref": "putdejudomthai/tps-mar2022-explore-and-model", "kernel_id": "25322240"}, {"ref": "putdejudomthai/tps-march-22-data-explore-datetime-congestion", "kernel_id": "25320846"}, {"ref": "omarvivas/catboostmar22-v1", "kernel_id": "25055383"}, {"ref": "omarvivas/lgbm-tpsmar22-v2", "kernel_id": "25080099"}, {"ref": "omarvivas/xgb-tpsmar22-v1", "kernel_id": "25078680"}, {"ref": "omarvivas/catboostmar22-v2", "kernel_id": "25075462"}, {"ref": "omarvivas/keras-tps-mar22-v1", "kernel_id": "25208465"}, {"ref": "omarvivas/torch-tps-mar22-v1", "kernel_id": "25208395"}, {"ref": "stpeteishii/tps0322-time-course-data", "kernel_id": "25194493"}, {"ref": "stpeteishii/tps0322-multi-prophet2", "kernel_id": "25255052"}, {"ref": "toomuchsauce/tps-march-eda-plotly-standard-tree-regressor", "kernel_id": "25030241"}, {"ref": "ted0071/tps-mar-2022", "kernel_id": "25127406"}, {"ref": "nasil2/simple-eda", "kernel_id": "25075410"}, {"ref": "sunilhule/tps-mar-2022-complete-eda-modelling", "kernel_id": "25035860"}, {"ref": "swagician/mar-r-time-series-fiesta-bayes-bsts-gb", "kernel_id": "25030201"}, {"ref": "rbud613/tps-baseline-lgb-catboost", "kernel_id": "25171049"}, {"ref": "sdysch/eda-congestion-spikes-and-naive-predictions", "kernel_id": "25074344"}, {"ref": "sdysch/tps-march-lag-feature-brt", "kernel_id": "25134364"}, {"ref": "sdysch/xgboost-with-lagged-features-tps-march-2022", "kernel_id": "25156365"}, {"ref": "zhangcheche/tps-2022-03-pytorch-score-4-923", "kernel_id": "25362874"}, {"ref": "zhangcheche/xgboost-tps-2022-03", "kernel_id": "25043735"}, {"ref": "hasanbasriakcay/tps-mar22-eda-fe-baseline", "kernel_id": "25049520"}, {"ref": "hasanbasriakcay/tps-mar22-rule-based-model-trend", "kernel_id": "25073811"}, {"ref": "hasanbasriakcay/tps-mar22-pycaret-model-comparison", "kernel_id": "25077299"}, {"ref": "pavan9065/explore-tps-mar-22", "kernel_id": "25033501"}, {"ref": "e0xextazy/tabular-playground-march-2022-11", "kernel_id": "25898146"}, {"ref": "e0xextazy/tps-march-top-solution", "kernel_id": "25037092"}, {"ref": "e0xextazy/tpsmar22-brain-burst", "kernel_id": "25137054"}, {"ref": "bhavesh0124/0-47-simple-neural-network", "kernel_id": "25850246"}, {"ref": "catadanna/tab-mar-2022-folds", "kernel_id": "25085581"}, {"ref": "p7476762/gradient-boost-regression-predict-eda", "kernel_id": "25031856"}, {"ref": "igorkf/tps-march-22-naive-baseline", "kernel_id": "25030003"}, {"ref": "igorkf/tps-march-22-median-by-group-weekday-vs-weekend", "kernel_id": "25192855"}, {"ref": "devsubhash/tps-march-eda-bokeh-holoviews-fe-modeling", "kernel_id": "25041264"}, {"ref": "hirenr/march-tps-eda-prediction", "kernel_id": "25941782"}, {"ref": "taranmarley/the-simplest-solution", "kernel_id": "25332851"}, {"ref": "taranmarley/fe-eda-prediction", "kernel_id": "25248899"}, {"ref": "saraswatitiwari/tabular-playground-series-march-2022", "kernel_id": "25713891"}, {"ref": "saraswatitiwari/tps-march-2022", "kernel_id": "25253712"}, {"ref": "muhammedtausif/10-simple-pandas-tricks-for-better-life", "kernel_id": "25222532"}, {"ref": "mukaseevru/tps-mar-22-fe-lama-lightautoml", "kernel_id": "25067575"}, {"ref": "arootda/tps-mar-eda-modeling-with-optuna", "kernel_id": "25107209"}, {"ref": "amarloni/tps-mar22-catboost-ohe", "kernel_id": "25382870"}, {"ref": "sytuannguyen/tps-mar-2022-animation-new-baseline", "kernel_id": "25179470"}, {"ref": "sytuannguyen/tps-mar-2022-eda-model", "kernel_id": "25036656"}, {"ref": "bernhardklinger/march-tps-lgbm", "kernel_id": "25525497"}, {"ref": "aboriginal3153/tps-mar-22-pytorch-lstm", "kernel_id": "25901740"}, {"ref": "abdoulayebalde/congestion-prediction-using-xgboost-and-catboost", "kernel_id": "25149188"}, {"ref": "chethanbr86/tabular-playground-series-mar-2022-4th-approch", "kernel_id": "25859514"}, {"ref": "chethanbr86/tabular-playground-series-mar-2022-2nd-approach", "kernel_id": "25661103"}, {"ref": "chethanbr86/tabular-playground-series-mar-2022", "kernel_id": "25032160"}, {"ref": "akioonodera/tps-mar2022-lgbm-regression", "kernel_id": "25037238"}, {"ref": "robertturro/tps-march-2022-useful-visuals", "kernel_id": "25236338"}, {"ref": "robertturro/very-simple-using-the-median", "kernel_id": "25436726"}, {"ref": "micgonzalez/tabular-playground-dataset", "kernel_id": "25783548"}, {"ref": "sanjaylalwani/tps-march22-with-ensemble", "kernel_id": "25035392"}, {"ref": "mayank00rastogi/tps-march22-lightautoml", "kernel_id": "25299171"}, {"ref": "lonnieqin/tps-22-03-with-lstm", "kernel_id": "25050887"}, {"ref": "lonnieqin/tps-22-03-with-tabtransformer", "kernel_id": "25128430"}, {"ref": "lonnieqin/tps-22-03-with-lstm-including-moving-average", "kernel_id": "25086449"}, {"ref": "boopathymsse/train-df-head-issue-notebook", "kernel_id": "25363709"}, {"ref": "boopathymsse/tpsmar22", "kernel_id": "25105037"}, {"ref": "chikovalexander/tps-mar-2022-etna", "kernel_id": "25757123"}, {"ref": "cabaxiom/tps-mar-22-forecasting-strategies-direct", "kernel_id": "25757998"}, {"ref": "cabaxiom/tps-mar-22-very-simple-etr-baseline-model", "kernel_id": "25055211"}, {"ref": "cabaxiom/tps-mar-22-median-baseline", "kernel_id": "25065749"}, {"ref": "cabaxiom/tps-mar-22-in-depth-eda-all-65-roads", "kernel_id": "25030174"}, {"ref": "cabaxiom/tps-mar-22-making-more-mondays-median", "kernel_id": "25143267"}, {"ref": "cabaxiom/tps-mar-22-x-nearest-mondays-median", "kernel_id": "25102089"}, {"ref": "cabaxiom/tps-mar-22-sarima-linear-regression", "kernel_id": "25414135"}, {"ref": "ranjeetshrivastav/tps-march-22", "kernel_id": "25156829"}, {"ref": "louisheublein/xgboost-with-gpu-acceleration", "kernel_id": "25185168"}, {"ref": "longzhi/tps202203", "kernel_id": "25225893"}, {"ref": "yakorovka/tspredictor-based-on-catboost-optuna", "kernel_id": "25361313"}, {"ref": "duncankmckinnon/separate-prophet-models", "kernel_id": "25582157"}, {"ref": "kimchanyoung/simple-random-forest-regression-using-gridsearch", "kernel_id": "25294136"}, {"ref": "yokeshkummar/the-venerable-linear-regression", "kernel_id": "25032966"}, {"ref": "lizakonopelko/tps-mar-2022-fe-lama-lightautoml", "kernel_id": "25049192"}, {"ref": "lordozvlad/tps-mar-fast-workflow-using-scikit-learn-intelex", "kernel_id": "25184986"}, {"ref": "tracyporter/mar-22-traffic-ts-randomforest-x-y", "kernel_id": "25064019"}, {"ref": "tracyporter/mar-22-traffic-ts-randomforest", "kernel_id": "25040056"}, {"ref": "tracyporter/mar-22-traffic-ts", "kernel_id": "25035395"}, {"ref": "kellibelcher/time-series-forecasting-arima-ets-boosting", "kernel_id": "25685784"}, {"ref": "venkatkumar001/tps3-22-baseline-model-skfold", "kernel_id": "25038432"}, {"ref": "coleuhlig/notebooka580f87ed1", "kernel_id": "25143370"}, {"ref": "elizzyliu/clustering-regression", "kernel_id": "25714103"}, {"ref": "asifahmadshaik/prediction-using-simple-xgboost", "kernel_id": "25771592"}, {"ref": "asifahmadshaik/xgboost-optuna-k-fold-cv", "kernel_id": "25857073"}, {"ref": "prashantpathak244/xgboost-regression-for-beginner", "kernel_id": "25153369"}, {"ref": "yekahaaagayeham/quick-eda-with-pandas-profiling", "kernel_id": "25032050"}, {"ref": "jorgeascencion/tps-2022-03-catboost-regressor", "kernel_id": "25226148"}, {"ref": "jorgeascencion/tps-2022-03-random-forest-regressor", "kernel_id": "25167807"}, {"ref": "mirenaborisova/tps-mar-22-lightautoml-4-866", "kernel_id": "25250021"}, {"ref": "mirenaborisova/tabular-playground-march-2022-04", "kernel_id": "25179359"}, {"ref": "mirenaborisova/tabular-playground-march-2022-03", "kernel_id": "25119366"}, {"ref": "mirenaborisova/tps-mar-22-blending-submissions-lb-4-734", "kernel_id": "25767417"}, {"ref": "luisramrez/highway-congestion-1st-part", "kernel_id": "25346705"}, {"ref": "sasakic/tps-mar-2022-sarimax-and-xgr", "kernel_id": "25602140"}, {"ref": "dextermojo/eda-tps-march-2022", "kernel_id": "25088245"}, {"ref": "abdelrahmanrabah/nn-kfold-model1", "kernel_id": "25160021"}, {"ref": "jeonghyunha/tps-mar-2022-simple-preprocessing-regression", "kernel_id": "25291470"}, {"ref": "nicolashans/tps-march-2022-eda-congestion-map-animation", "kernel_id": "25198711"}, {"ref": "syedhaideralizaidi/tabular-playground-series-march-22", "kernel_id": "25214871"}, {"ref": "jeongbinpark/eda-visualization-tutorial", "kernel_id": "25323831"}, {"ref": "etiennepinclaret/quick-fe-pycaret-automl-mar-2022", "kernel_id": "25180922"}, {"ref": "harshhzz/march-pred", "kernel_id": "25779926"}, {"ref": "shoytovma/base-line-means-no-ml-predictions-score-5-016", "kernel_id": "25323281"}, {"ref": "chiehjulin/tps-mar-2022", "kernel_id": "25048211"}, {"ref": "pourchot/tps-2022-03-only-one-layer-for-neural-network", "kernel_id": "25795070"}, {"ref": "shimjongsoo/tps-mar22-rf-lgbm-rf-public-5-12", "kernel_id": "25309295"}, {"ref": "mohamedrashadahmed/regression-tabular-playground-series-mar-2022", "kernel_id": "25829656"}, {"ref": "abdullahkocak/fresh-duck-kaggler-tps-mar22", "kernel_id": "25429736"}, {"ref": "alehandro35/tpsmar22-eda-boosting", "kernel_id": "25208060"}, {"ref": "tariqchhussain/xgboost-optuna-k-fold-cv-tps-march-22", "kernel_id": "25045418"}, {"ref": "eugenebee/tps-mar-22-catboost-baseline", "kernel_id": "25041277"}, {"ref": "thariqnugrohotomo/sklearn-gbdt-tps2022mar-39th-place", "kernel_id": "25596273"}, {"ref": "casati8/kaggle-tps-mar-2022-simple", "kernel_id": "25373382"}, {"ref": "masatomurakawamm/tps-mar2022-xgboost-hyperparametertuning", "kernel_id": "25033144"}, {"ref": "masatomurakawamm/tps-mar2022-tabnet-baseline", "kernel_id": "25058671"}, {"ref": "masatomurakawamm/tps-mar2022-fastai-tabular-deep-learning-optuna", "kernel_id": "25220480"}, {"ref": "ashaykatrojwar/eda-and-auto-ml", "kernel_id": "25035405"}, {"ref": "hkhiroshima/march-tps-lgbm", "kernel_id": "25544976"}, {"ref": "jillanisofttech/tabular-playground-series-mar-2022", "kernel_id": "25165527"}, {"ref": "snehangsude/in-depth-eda-congestion-hourly-weekly", "kernel_id": "25043744"}, {"ref": "rhythmcam/tps-mar-22-catboost-dummy-standard", "kernel_id": "25641523"}, {"ref": "rhythmcam/tps-mar-22-pycaret-lightgbm", "kernel_id": "25190902"}, {"ref": "rhythmcam/tps-mar-22-evalml-baseline", "kernel_id": "25079277"}, {"ref": "rhythmcam/tps-mar-22-catboost-baseline", "kernel_id": "25105612"}, {"ref": "rhythmcam/tps-mar-22-keras-randomforestmodel", "kernel_id": "25315675"}, {"ref": "rhythmcam/tps-mar-22-autogluon-timelimit", "kernel_id": "25531882"}, {"ref": "adwaitkesharwani/prediction-with-artificial-neural-network", "kernel_id": "25778769"}, {"ref": "adwaitkesharwani/simple-linear-regression-for-beginners", "kernel_id": "25432639"}, {"ref": "mehrdadsadeghi/tps-mar2022-traffic-flow-eda-simple-forecast", "kernel_id": "25142209"}, {"ref": "kotrying/tps-2022-03-lgbm", "kernel_id": "25698178"}, {"ref": "mahditavakol/march22-visualization-3", "kernel_id": "25144242"}, {"ref": "rizkykiky/linregress-baseline-tps-mar-2022", "kernel_id": "25296259"}, {"ref": "rizkykiky/rf-baseline-tps-mar-2022", "kernel_id": "25295791"}, {"ref": "martynovandrey/tps-mar-22-hybrid-regressors", "kernel_id": "25376544"}, {"ref": "martynovandrey/tps-mar-22-prophet", "kernel_id": "25440571"}, {"ref": "martynovandrey/tps-mar-22-multioutput-compare-models", "kernel_id": "25098250"}, {"ref": "martynovandrey/tps-mar-22-fe-model-selection", "kernel_id": "25129235"}, {"ref": "martynovandrey/tps-mar-22-step-0-1-special-values", "kernel_id": "25055862"}, {"ref": "martynovandrey/tps-mar-22-step-0-data-exploration-animation", "kernel_id": "25031818"}, {"ref": "martynovandrey/tps-mar-22-multioutput-regressor", "kernel_id": "25151727"}, {"ref": "martynovandrey/tps-mar-22-don-t-forget-special-values", "kernel_id": "25168955"}, {"ref": "martynovandrey/tps-mar-22-fe-the-less-the-better", "kernel_id": "25183277"}, {"ref": "martynovandrey/plotly-visualization-examples", "kernel_id": "25751089"}, {"ref": "abdelrahmanrezk7/feature-engineering-catboost", "kernel_id": "25506874"}, {"ref": "kmwooss/tps-mar-2022-with-tidymodels-r-baseline-eda", "kernel_id": "25349113"}, {"ref": "ramniwashkumar/tps-fe-xgbregressor", "kernel_id": "25593742"}, {"ref": "m1y7k8/tps-mar-2022-timeseries", "kernel_id": "25499173"}, {"ref": "ambrosm/tpsmar22-without-machine-learning", "kernel_id": "25060654"}, {"ref": "ambrosm/tpsmar22-eda-which-makes-sense", "kernel_id": "25030230"}, {"ref": "ambrosm/tpsmar22-random-forest", "kernel_id": "25038348"}, {"ref": "ambrosm/tpsmar22-don-t-forget-to-round", "kernel_id": "25100008"}, {"ref": "ambrosm/tpsmar22-generalizing-the-special-values", "kernel_id": "25360895"}, {"ref": "jiprud/tps-mar22-rookie-eda-submission", "kernel_id": "25145829"}, {"ref": "dcrowd/knn-note", "kernel_id": "25437477"}, {"ref": "ebrahimhaquebhatti/tps-march-2022-pycaret-model-comparison", "kernel_id": "25031679"}, {"ref": "himanshusirsat/tab-ply-march22", "kernel_id": "25040471"}, {"ref": "alexandreayari/tps-03-22-super-learner-ensemble", "kernel_id": "25157476"}, {"ref": "horrip/tpsmar22-average-baseline-lb-4-992", "kernel_id": "25043218"}, {"ref": "naokisugimura/tps-mar-2022-lightgbm-quickstart", "kernel_id": "25041326"}, {"ref": "naokisugimura/tps-mar-2022-simple-catboost-using-median", "kernel_id": "25632840"}, {"ref": "nathanvillavicencio/solving-with-basic-probability-theory", "kernel_id": "25787305"}, {"ref": "artyomgrishanov/catboost-for-tabular-playground", "kernel_id": "25778361"}, {"ref": "sfktrkl/tps-mar-2022", "kernel_id": "25360987"}, {"ref": "samuelcortinhas/tps-mar-22-traffic-flow-forecasting", "kernel_id": "25103286"}, {"ref": "imnaho/eda-tps-mar22", "kernel_id": "25043082"}, {"ref": "imnaho/tps22-mar-predict-with-xgbregressor", "kernel_id": "25183523"}, {"ref": "imnaho/predict-with-lstm-kaggle-tps-mar-2022", "kernel_id": "25347905"}, {"ref": "rolerik/traffic-frequency-analysis", "kernel_id": "25742872"}, {"ref": "thomaspagesy/march-playground-tensorflow-bi-lstm-attention", "kernel_id": "25067420"}, {"ref": "michaelsammons/march2022-kaggle-tps", "kernel_id": "25191295"}, {"ref": "sathyakrishnan12/kaggle-tps-march-22", "kernel_id": "25095164"}, {"ref": "klipefrem/tps-mar-2022-catboost-randomforest", "kernel_id": "25897499"}, {"ref": "mohamedayoubchettouh/road-connections", "kernel_id": "25048243"}, {"ref": "lisyuan0930/tps-mar-xgboost", "kernel_id": "25055265"}, {"ref": "paulomarquies/tps-mar-22-preprocessing-and-catboost", "kernel_id": "25227577"}, {"ref": "honghongchen/playground-regression-xgboost-catboost", "kernel_id": "25295943"}, {"ref": "mustafakeser4/tps-mar22-deterministicprocess-cal-fourier", "kernel_id": "25145809"}, {"ref": "rajnishkumar546/tps-march", "kernel_id": "25211792"}, {"ref": "rajnishkumar546/tps-mar2", "kernel_id": "25286723"}, {"ref": "trentseig/tabular-data-series-3-22-eda-feature-eng-run", "kernel_id": "25105636"}, {"ref": "r0hn00/tabplay-march", "kernel_id": "25161357"}, {"ref": "abdulravoofshaik/private-lb-top-2-google-s-tft", "kernel_id": "25042902"}, {"ref": "abdulravoofshaik/private-lb-top-2-right-way-to-cv", "kernel_id": "25349048"}, {"ref": "abdulravoofshaik/qc-the-notebook-with-four-lines-of-code", "kernel_id": "25455993"}, {"ref": "aayushkumar20bcy/kaggle-tps-mar2022-with-gpu", "kernel_id": "25035190"}, {"ref": "packinman/tps-mar-2022-automl-pycaret-regression", "kernel_id": "25763830"}, {"ref": "packinman/tps-mar-2022-feature-engineering-and-catboost", "kernel_id": "25304673"}, {"ref": "packinman/tps-mar-2022-simple-eda-and-feature-engineering", "kernel_id": "25510509"}, {"ref": "ahmetcelik158/tps-mar-22-traffic-forecasting-boosted-hybrid", "kernel_id": "25382472"}, {"ref": "floopybits/time-attributes-xgboost-regression", "kernel_id": "25778163"}, {"ref": "lszlbebesi/traffic-forecasting-with-regression", "kernel_id": "25048428"}, {"ref": "shoooono/tps-mar2022-catboost-lgb", "kernel_id": "25492619"}, {"ref": "shoooono/simple-feature-with-lgb", "kernel_id": "25746824"}, {"ref": "javigallego/tps-mar22-top-6-solution-eda-fe-blending", "kernel_id": "25102342"}, {"ref": "genkiokano/automl-lightgbm-tps-mar-2022", "kernel_id": "25529420"}, {"ref": "naotokitajima/notebookec44a52739", "kernel_id": "25752785"}, {"ref": "morikawashinichi/tps-march-2022-lgbm-optuna-4-941", "kernel_id": "25827993"}, {"ref": "olgapleshakova/tps-mar-2022-cosine-distance-averaging", "kernel_id": "25929024"}, {"ref": "riiatlmad/tabular-playground-series-mar-2022-lgbm-catboost", "kernel_id": "25687390"}, {"ref": "riiatlmad/tps-mar-2022-automl-for-public", "kernel_id": "25785082"}, {"ref": "wonjinkim1010/ml-with-randomforest", "kernel_id": "25308266"}, {"ref": "ivjyotsingh/tps-march-22-eda-time-series", "kernel_id": "26022087"}, {"ref": "ravi20076/tpsmar22-pipeline-catboost", "kernel_id": "26129244"}, {"ref": "markbquant/ml-tabular-playground-series-mar-2022", "kernel_id": "28404197"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "aliphya/time-series-prediction", "kernel_id": "32618907"}, {"ref": "zack47/tabular-playground-series-mar-2022", "kernel_id": "32093397"}, {"ref": "tetsutani/tabular-playground-series-mar-2022-pycaret", "kernel_id": "34905694"}, {"ref": "tetsutani/tps-mar-2022-lgbmregressor", "kernel_id": "34906181"}, {"ref": "jeremyandryanto/agustus2022", "kernel_id": "38910649"}, {"ref": "atagns/tabular-nn-sunum", "kernel_id": "39280839"}, {"ref": "atagns/yedek", "kernel_id": "39266253"}, {"ref": "atagns/tabular-proje", "kernel_id": "39264612"}, {"ref": "evrendurmus/time-series-analysis", "kernel_id": "44695567"}, {"ref": "pentakrishnakishore/prediction-using-simple-xgboost", "kernel_id": "45204627"}]}
{"competition_id": "33104", "kernels": [{"ref": "bcruise/tps-apr-2022-eda-and-baseline", "kernel_id": "25982448"}, {"ref": "sophieb/eda-baseline-tps-april-2022", "kernel_id": "25934622"}, {"ref": "cv13j0/tps-apr-2022-xgboost-model", "kernel_id": "25916532"}, {"ref": "rafburzy/tp-april-data-exploration-and-prediction-in-r", "kernel_id": "25935540"}, {"ref": "maulberto3/tps-april-2022-easy-eda", "kernel_id": "25917926"}, {"ref": "yichian/tps-apr-2022", "kernel_id": "25956405"}, {"ref": "rnepal2/tps-dnn-augmentation-bandpass-shift-etc", "kernel_id": "25934610"}, {"ref": "docxian/tpg-2022-apr-r-starter-eda-model-transparency", "kernel_id": "25973051"}, {"ref": "slythe/exploring-tps-april-22-with-baseline-nn", "kernel_id": "25990763"}, {"ref": "karthikbhandary2/tbpg-apr-with-nn", "kernel_id": "25923543"}, {"ref": "samu2505/eda-lstm", "kernel_id": "25962715"}, {"ref": "ryanholbrook/tps-april-2022-benchmark", "kernel_id": "25235055"}, {"ref": "raviista/tps-april-2022-autogluon-93-2auc", "kernel_id": "25994928"}, {"ref": "raviista/tps-april-2022-lstm-auc-96-6", "kernel_id": "25998615"}, {"ref": "bvarkoly/tabular-playground-2022-april", "kernel_id": "25923130"}, {"ref": "shameinew/sensor-data-eda", "kernel_id": "25932381"}, {"ref": "stpeteishii/tps0422-simple-lgbm", "kernel_id": "25931036"}, {"ref": "ted0071/tps-apr-2022-keras-lstm-model", "kernel_id": "25936204"}, {"ref": "swagician/april-r-h2o4gpu-gb-trees-random-forests", "kernel_id": "25914991"}, {"ref": "hasanbasriakcay/tpsapr22-eda-fe-baseline", "kernel_id": "25920967"}, {"ref": "hasanbasriakcay/tpsapr22-fe-pseudo-labels-baseline", "kernel_id": "25947861"}, {"ref": "naveenkonam1985/tps-apr-22-eda-lgbmc-optuna", "kernel_id": "25922183"}, {"ref": "hamzaghanmi/tps-april-tensorflow-bi-lstm", "kernel_id": "25924019"}, {"ref": "catadanna/tab-folds-april-2022", "kernel_id": "25933167"}, {"ref": "sogamja/2022-tps-apr-dae", "kernel_id": "25917041"}, {"ref": "dompero/fcn-for-time-series-classification", "kernel_id": "25927874"}, {"ref": "leo45890/tps-april-2022-keras-inception-resnet", "kernel_id": "25945874"}, {"ref": "jakkojukranti/logistic-regression-with-fast-fourier-transform", "kernel_id": "25989228"}, {"ref": "lucasmorin/feature-engineering-aggregation-functions", "kernel_id": "25977628"}, {"ref": "sytuannguyen/tps-april-2022-eda-model", "kernel_id": "25923823"}, {"ref": "aboriginal3153/tps-apr-22-lstm-using-pytorch", "kernel_id": "25924795"}, {"ref": "aboriginal3153/tps-apr-22-neural-network-using-pytorch", "kernel_id": "25986470"}, {"ref": "akioonodera/tps-apr2022-lgbm-binary-classification", "kernel_id": "25985408"}, {"ref": "robertturro/eda-and-feature-selection", "kernel_id": "25932892"}, {"ref": "robertturro/lstm-model", "kernel_id": "25982903"}, {"ref": "robertturro/very-simple-catboost", "kernel_id": "25957480"}, {"ref": "sanjaylalwani/tps-april-22-lstm", "kernel_id": "25916708"}, {"ref": "desitancheva/stats-xgboost-score-83", "kernel_id": "25934356"}, {"ref": "cabaxiom/tps-apr-22-in-depth-eda", "kernel_id": "25915938"}, {"ref": "ohseokkim/tps-apr-let-s-go-over-the-wall-inceptiontime", "kernel_id": "25985473"}, {"ref": "bhavantikgondaliya/eda-of-tps-april-2022", "kernel_id": "25917908"}, {"ref": "kimchanyoung/tps-apr-2022-lstm-vs-gru-baseline-for-starter", "kernel_id": "25933310"}, {"ref": "tracyporter/april-22-tabular", "kernel_id": "25922228"}, {"ref": "tracyporter/april-22-most-1-s-tabular", "kernel_id": "25928080"}, {"ref": "reymaster/apr-2022-tps-simple-time-series-analysis-xgboost", "kernel_id": "25915570"}, {"ref": "yashhvyass/tps-april-eda-and-insights", "kernel_id": "25927406"}, {"ref": "girolamanotarangelo/classification-states-tps-april-2022", "kernel_id": "25969536"}, {"ref": "ryanbarretto/lstm-baseline", "kernel_id": "25915434"}, {"ref": "kartushovdanil/top-1-tps-apr-22-eda-lstm", "kernel_id": "25946230"}, {"ref": "dlaststark/tps-apr22-tfv1", "kernel_id": "25952595"}, {"ref": "dlaststark/tps-apr22-tfv2", "kernel_id": "25977018"}, {"ref": "dmitryuarov/tps-sensors-2xlstm-xgb-auc-0-976", "kernel_id": "25927261"}, {"ref": "cristianminas/baseline-tps-april", "kernel_id": "25932293"}, {"ref": "masatomurakawamm/tps-apr2022-tabtransformer-vs-lstm", "kernel_id": "25929617"}, {"ref": "satoshiss/tps-apr-sneak-peek-xgb", "kernel_id": "25937886"}, {"ref": "wasshoiwasshoi/tps-apr-2022-visualization-of-sensor-signal", "kernel_id": "25927552"}, {"ref": "jagofc/r-max-mean-min-xgboost-04-22", "kernel_id": "25924070"}, {"ref": "jagofc/r-submission-template-04-22", "kernel_id": "25921760"}, {"ref": "rizkykiky/i-just-want-to-guess", "kernel_id": "25952561"}, {"ref": "ambrosm/tpsapr22-best-model-without-nn", "kernel_id": "25992539"}, {"ref": "ambrosm/tpsapr22-eda-which-makes-sense", "kernel_id": "25916976"}, {"ref": "jiprud/tps-apr22-rookie-eda-submission", "kernel_id": "25923796"}, {"ref": "andreal314159/notebook844b468332", "kernel_id": "25968811"}, {"ref": "naokisugimura/tps-apr-2022-ensamble-catboost-and-lstm", "kernel_id": "25915875"}, {"ref": "himanshunayal/lstm-pytorch", "kernel_id": "25918254"}, {"ref": "paulomarquies/tps-apr-22-keras", "kernel_id": "25936126"}, {"ref": "rajnishkumar546/tps-apr", "kernel_id": "25949044"}, {"ref": "abdulravoofshaik/important-features-and-insights", "kernel_id": "25917172"}, {"ref": "tyrionlannisterlzy/xgboost-dnn-ensemble-lb-0-980", "kernel_id": "25943407"}, {"ref": "packinman/tps-apr-2022-neural-network-for-beginners", "kernel_id": "25954445"}, {"ref": "ahmetcelik158/tps-apr-22-lstm-with-pytorch", "kernel_id": "25935432"}, {"ref": "asdkarma/bilstm-april-tabular", "kernel_id": "25930540"}, {"ref": "lszlbebesi/classification-with-ensemble-and-900-features", "kernel_id": "25968502"}, {"ref": "shoooono/lightgbm-baseline-with-simple-feature", "kernel_id": "25943931"}, {"ref": "javigallego/tps-apr22-eda-fe-lstm-tutorial", "kernel_id": "25925282"}, {"ref": "genkiokano/tps-apr-2022-easy-visualization", "kernel_id": "25919172"}, {"ref": "naotokitajima/lighgbm-with-some-simple-features", "kernel_id": "25948912"}, {"ref": "wonjinkim1010/tabular-april-using-lstm", "kernel_id": "25952253"}, {"ref": "requiem33/tps-apr-2022-lstm", "kernel_id": "25968544"}, {"ref": "wti200/covariate-shift-and-subject-analysis", "kernel_id": "26113472"}, {"ref": "spqced/tabular-playground-series-apr-2022", "kernel_id": "26051772"}, {"ref": "group16/tps-april-3-solution-the-final-blend", "kernel_id": "26707255"}, {"ref": "davidedwards1/tab-april22-pytorch-lstm-starter-v2", "kernel_id": "26041398"}, {"ref": "davidedwards1/tps-april-tensorflow-bi-lstm-10f-spatialdropout", "kernel_id": "26093081"}, {"ref": "thefringthing/xgboost-with-fft-aggregate-statistics-etc", "kernel_id": "26226220"}, {"ref": "maulberto3/tps-april-2022-noisy-labels-take-a-look", "kernel_id": "26083568"}, {"ref": "waldemar/3x-gbms-with-groupkfold-0-581-to-0-830", "kernel_id": "26241104"}, {"ref": "waldemar/63-or-44-outliers-to-remove", "kernel_id": "26614614"}, {"ref": "peressim/tps-apr-2022-xgboost", "kernel_id": "26566280"}, {"ref": "peressim/tps-apr-2022-logistic-regression", "kernel_id": "26560717"}, {"ref": "peressim/tps-apr-2022-eda", "kernel_id": "26556734"}, {"ref": "siukeitin/tps042022-baseline-xgboost-model-on-2500-features", "kernel_id": "26349747"}, {"ref": "siukeitin/tps042022-fe-2500-features-with-tsfresh-catch22", "kernel_id": "26343022"}, {"ref": "vineethakkinapalli/tpsapril2022-tf-lstm-feature-importance", "kernel_id": "26174071"}, {"ref": "sivachandran123/april-22", "kernel_id": "26000196"}, {"ref": "nnjjpp/tps-april-2022-xgb-with-feature-selection", "kernel_id": "26679172"}, {"ref": "chenyubang/tps-apr-2022-with-lightgbm", "kernel_id": "26070544"}, {"ref": "slythe/lstm-human-activity-recognition", "kernel_id": "26004309"}, {"ref": "slythe/calibrated-xgboost-human-activity-recognition", "kernel_id": "26255077"}, {"ref": "slythe/tps-april-ensemble-xgb-lstm", "kernel_id": "26310600"}, {"ref": "slythe/calibrated-xgboost-powershap-my-feats", "kernel_id": "26590044"}, {"ref": "slythe/bionodal-root-unit-bru-lstm-har", "kernel_id": "26473323"}, {"ref": "slythe/calibrated-xgboost-w-2000-features-tsflex", "kernel_id": "26518523"}, {"ref": "slythe/feature-extraction-tsflex-catch22", "kernel_id": "26528715"}, {"ref": "slythe/powershap-automated-feature-selection-recursive", "kernel_id": "26815437"}, {"ref": "delai50/gramian-angular-field-imaging-cnn2d-0-957-plb", "kernel_id": "26333865"}, {"ref": "huseyincot/tps-apr-pytorch-lightning-single-model-0-971", "kernel_id": "26153462"}, {"ref": "matthewszhang/lstm-with-pytorch-and-groupkfold", "kernel_id": "26566376"}, {"ref": "nahumsa/bidirectional-lstm-keras-tuner", "kernel_id": "26362035"}, {"ref": "nahumsa/eda-fe-models", "kernel_id": "26062873"}, {"ref": "vishnukarthiklu/tps-4-let-s-speed-up", "kernel_id": "26260908"}, {"ref": "matanivanov/lgbm-with-fourier-transform", "kernel_id": "26025680"}, {"ref": "gunjanpaul/complete-eda-data-analysis", "kernel_id": "26055199"}, {"ref": "bluegnome/simple-data-exploration-and-lag-feature-regression", "kernel_id": "26119126"}, {"ref": "aniskhan25/playground-apr-2022-conv1d", "kernel_id": "26033298"}, {"ref": "aniskhan25/playground-apr-2022-lstm", "kernel_id": "26048052"}, {"ref": "hasanbasriakcay/tpsapr22-fe-pseudo-labels-bi-lstm", "kernel_id": "26071752"}, {"ref": "hasanbasriakcay/tpsapr22-optuna-lgbm-blend", "kernel_id": "26025922"}, {"ref": "devsubhash/tps-april-bidirectional-lstm", "kernel_id": "26128627"}, {"ref": "jeroenvdd/tpsapr22-best-non-dl-model-tsflex-powershap", "kernel_id": "26484908"}, {"ref": "jeroenvdd/tsflex-x-tsfresh-feature-extraction", "kernel_id": "26443578"}, {"ref": "lucasmorin/no-ml-baseline", "kernel_id": "26060086"}, {"ref": "aboriginal3153/tps-apr-22-simple-lightgbm-lgbm", "kernel_id": "26365987"}, {"ref": "aboriginal3153/tps-apr-22-nns-new-architecture-pytorch-optuna", "kernel_id": "26024481"}, {"ref": "abdoulayebalde/tabular-playground-series-apr-2022-eda-and-lgbm", "kernel_id": "26512739"}, {"ref": "chethanbr86/tabular-playground-april2022-v7", "kernel_id": "26599632"}, {"ref": "chethanbr86/tabular-playground-april2022-v3", "kernel_id": "26348567"}, {"ref": "chethanbr86/tabular-playground-april2022-v4", "kernel_id": "26356038"}, {"ref": "himankkavathekar/basic-signal-stats-rf-model", "kernel_id": "26099206"}, {"ref": "bannourchaker/deep-learing-part4-hybrid-cnn-lstm-parallel-con155", "kernel_id": "26343720"}, {"ref": "bannourchaker/deep-learing-part5-transformer-con17", "kernel_id": "26484566"}, {"ref": "bannourchaker/deep-learing-part1-mlp2-cross-net-con3", "kernel_id": "26029713"}, {"ref": "bannourchaker/deep-learing-part1-mlp2-deep-and-cross-con4", "kernel_id": "26030582"}, {"ref": "bannourchaker/deep-learing-part1-mlp2-wide-and-deep-con2", "kernel_id": "26024904"}, {"ref": "bannourchaker/deep-learing-part1-mlp-con1", "kernel_id": "26007579"}, {"ref": "bannourchaker/deep-learing-part4-hybrid-cnn-lstm-parallel-con166", "kernel_id": "26295838"}, {"ref": "bannourchaker/deep-learing-part4-hybrid-cnnlstm-sequentiel-con14", "kernel_id": "26295065"}, {"ref": "bannourchaker/deep-learing-part3-cnn-googlenet-inception-con12", "kernel_id": "26291182"}, {"ref": "bannourchaker/deep-learing-part3-cnn-inceptiontime-con11", "kernel_id": "26289966"}, {"ref": "bannourchaker/deep-learing-part3-cnn-encoder-decoder-con13", "kernel_id": "26291971"}, {"ref": "bannourchaker/deep-learing-part3-cnn-denstnet-con9", "kernel_id": "26287697"}, {"ref": "bannourchaker/deep-learing-part3-cnn-denstnet-advanced-con10", "kernel_id": "26289276"}, {"ref": "bannourchaker/deep-learing-part2-bilstm-densenet-rnn-con6", "kernel_id": "26272329"}, {"ref": "bannourchaker/deep-learing-part2-stack-rnn-con5", "kernel_id": "26271711"}, {"ref": "bannourchaker/deep-learing-part2-deepbilstm-attention-rnn-con7", "kernel_id": "26273143"}, {"ref": "bannourchaker/deep-learing-part3-cnn-isallwhatyouneed-con8", "kernel_id": "26273700"}, {"ref": "anshupriyadarshi/solution1", "kernel_id": "26565710"}, {"ref": "pvtrmalli/tps-apr22-basic-eda", "kernel_id": "26266654"}, {"ref": "desitancheva/submission-0-884", "kernel_id": "26059876"}, {"ref": "cabaxiom/tps-apr-22-rocket-classifier", "kernel_id": "26266334"}, {"ref": "wangqijing/xgboost-dnn-ensemble-lb-0-980", "kernel_id": "26359486"}, {"ref": "ohseokkim/tps-apr-let-s-go-over-the-wall-mwdn", "kernel_id": "26052256"}, {"ref": "yokeshkummar/tps-22-apr-with-mean", "kernel_id": "26200838"}, {"ref": "azzamradman/2nd-place-final-stacking", "kernel_id": "26455249"}, {"ref": "azzamradman/tps04-best-single-model-0-989", "kernel_id": "26667844"}, {"ref": "azzamradman/best-single-model-submission-0-989", "kernel_id": "26703103"}, {"ref": "landfallmotto/tps-apr-lstms-attention", "kernel_id": "26368614"}, {"ref": "hikarumoriya/simple-eda-and-predict-with-lightgbm", "kernel_id": "26049595"}, {"ref": "sleetet/tabular-playground-apr-22-lstm", "kernel_id": "26599779"}, {"ref": "lordozvlad/let-s-speed-up-your-kernels-using-sklearnex", "kernel_id": "26428858"}, {"ref": "lordozvlad/tps-apr-pytorch-bidirectional-lstm", "kernel_id": "26033527"}, {"ref": "kellibelcher/time-series-classification-with-lstms-sensor-eda", "kernel_id": "26009726"}, {"ref": "zhixx018/lgbm-aggressive-fe-trial-0423", "kernel_id": "26493122"}, {"ref": "zhixx018/tps-apr-lstms-220422-961", "kernel_id": "26326342"}, {"ref": "zhixx018/eda-fe-catboost-pipeline", "kernel_id": "26141017"}, {"ref": "mirenaborisova/tabular-playground-april-2022-01", "kernel_id": "26026907"}, {"ref": "mirenaborisova/tabular-playground-april-2022-02", "kernel_id": "26130612"}, {"ref": "kartikeychauhan/tabular-playground-series-apr-2022", "kernel_id": "26432646"}, {"ref": "lipinor/april-playground-tabular-data", "kernel_id": "26564051"}, {"ref": "leesstephanie/tps-apr2022-lgbm", "kernel_id": "26599404"}, {"ref": "jeonghyunha/tps-apr-2022-simple-eda-lstm", "kernel_id": "26067995"}, {"ref": "girolamanotarangelo/classification-states-eda-viz-tps-april-2022", "kernel_id": "26524960"}, {"ref": "pourchot/tps-2020-04-resnet-model-for-sequences", "kernel_id": "26659067"}, {"ref": "shimjongsoo/tps-apr-22-study-gru", "kernel_id": "26077099"}, {"ref": "thomashopkins32/gated-transformer-network-gtn-in-pytorch", "kernel_id": "26431082"}, {"ref": "thomashopkins32/simple-bidirectional-lstm-in-pytorch", "kernel_id": "26005378"}, {"ref": "dmitryuarov/sensors-deep-analysis-0-98", "kernel_id": "26128395"}, {"ref": "prathwishmestha/tps-apr-blending", "kernel_id": "26689515"}, {"ref": "prathwishmestha/xgboost-for-the-rescue", "kernel_id": "26696515"}, {"ref": "prathwishmestha/notebook4c9fbf27bf", "kernel_id": "26467314"}, {"ref": "ayoubchaoui/simple-cnn-keras", "kernel_id": "26576258"}, {"ref": "jimgruman/glm-and-automl", "kernel_id": "26536877"}, {"ref": "hykhhijk/base-tree-model", "kernel_id": "26662425"}, {"ref": "raghulraj422/tps-apr-2022-eda-on-sensor-data-lstm", "kernel_id": "26084410"}, {"ref": "adwaitkesharwani/prediction-with-catboost-classifier", "kernel_id": "26112451"}, {"ref": "omarsamy99/state-prediction", "kernel_id": "26591585"}, {"ref": "akritisood175/tsa-bidirectional-lstm", "kernel_id": "26288550"}, {"ref": "m1y7k8/tps-apr-2022-tsfresh", "kernel_id": "26219042"}, {"ref": "dcrowd/tablular-playground-apr", "kernel_id": "26424398"}, {"ref": "ravi20076/tpsapr22-bootstrappingensemble-pipeline", "kernel_id": "26794141"}, {"ref": "ravi20076/tpsapr22-lgbm-lstm", "kernel_id": "26307311"}, {"ref": "sfktrkl/tps-apr-2022", "kernel_id": "26160279"}, {"ref": "gopalgoyal612002/tps-apr-2022-lstm-model", "kernel_id": "26338005"}, {"ref": "imnaho/tps-22apri-eda-prediction", "kernel_id": "26307533"}, {"ref": "imnaho/tps22-apr-searching-good-feature", "kernel_id": "26022337"}, {"ref": "boshili/transformer-pratice-for-apr22", "kernel_id": "26413670"}, {"ref": "mustafakeser4/tps-april-with-keras-lstm-cnn", "kernel_id": "26530987"}, {"ref": "khashayarrahimi94/lgbm-using-summary-statistics-tps", "kernel_id": "26495713"}, {"ref": "abdulravoofshaik/bag-of-tricks-extended", "kernel_id": "26404264"}, {"ref": "tyrionlannisterlzy/build-sbbtree-from-start-with-rfe", "kernel_id": "26441750"}, {"ref": "harshitkmr/tps-april-bi-lstm-0-965", "kernel_id": "26235789"}, {"ref": "lszlbebesi/state-prediction-with-lgbm-classifier-and-catboost", "kernel_id": "26455757"}, {"ref": "kalliswetha/tps-apr2022", "kernel_id": "26394371"}, {"ref": "jislinchen/tps-april-with-xgb-and-lstm", "kernel_id": "26489297"}, {"ref": "silviopodhraski/eda-tsfresh-xgboost", "kernel_id": "26606094"}, {"ref": "jiwonkng/tabular-playground-apr-22", "kernel_id": "26226547"}, {"ref": "seungeun5/tabular-apr-2022-ohse", "kernel_id": "26287042"}, {"ref": "cbeaud/tps-apr-2022-ensemble-solution", "kernel_id": "26072360"}, {"ref": "hwangchanghyun/working-with-data-like-sensor", "kernel_id": "27094117"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "imanelazrek/tabular-playground-series-competition", "kernel_id": "27290989"}, {"ref": "yashgyy/stacking-classifier-and-eda", "kernel_id": "29896872"}, {"ref": "sogamja/2022-tps-apr-convnet", "kernel_id": "29069190"}, {"ref": "rdurango92/tps-apr-2022-sensorizacion-ml", "kernel_id": "29842854"}, {"ref": "rdurango92/tps-apr-2022-sensors-ml", "kernel_id": "29949591"}, {"ref": "akshatpattiwar/eda-feature-engineering-tabular-playground", "kernel_id": "29814663"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "sarthak872/eda-feature-engineering", "kernel_id": "29897247"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "vigneshr2036/vr2036-pca-gmm", "kernel_id": "33685787"}, {"ref": "ericdalva/dae-for-titanic-with-visualization", "kernel_id": "45949115"}, {"ref": "leesstephanie/tps-apr2022-rocket", "kernel_id": "46282864"}, {"ref": "leesstephanie/tps-apr2022-models-that-don-t-work", "kernel_id": "48561019"}, {"ref": "carlosdaniel120042/tps-apr22-tfv2", "kernel_id": "63560779"}, {"ref": "hibaallah/project-dm", "kernel_id": "73200536"}, {"ref": "hibaallah/time-series-analysis-project", "kernel_id": "73224119"}, {"ref": "sankalpsthakur/sensor-classification-subject-safe-validation", "kernel_id": "128303457"}]}
{"competition_id": "33105", "kernels": [{"ref": "swagician/may-r-omnifarious-trees-h2o4gpu-feature-eval", "kernel_id": "20950820"}, {"ref": "yuyougnchan/numeric-variable-end-with-this", "kernel_id": "22296593"}, {"ref": "swagician/april-r-h2o4gpu-gb-trees-random-forests", "kernel_id": "25914991"}, {"ref": "alexryzhkov/tps-may-22-lightautoml-here-again", "kernel_id": "26737891"}, {"ref": "shravankoninti/baseline-catboost-prediction", "kernel_id": "26732309"}, {"ref": "shravankoninti/baseline-xgboost-prediction", "kernel_id": "26720699"}, {"ref": "shravankoninti/baseline-lightgbm-prediction", "kernel_id": "26721715"}, {"ref": "titericz/cudf-64-32-bit-variables", "kernel_id": "26867774"}, {"ref": "wti200/analysing-interactions-with-shap", "kernel_id": "26847709"}, {"ref": "nikkifitz/eda-pca-factor-analysis-and-more", "kernel_id": "26703397"}, {"ref": "rsarten/may22-graphs-and-correlations", "kernel_id": "26735379"}, {"ref": "cv13j0/tps-may22-eda-gbdt", "kernel_id": "26703169"}, {"ref": "cv13j0/tps-may22-eda-neuronal-nets", "kernel_id": "26719607"}, {"ref": "cv13j0/tps-may22-fast-ai-model", "kernel_id": "26876129"}, {"ref": "cv13j0/classification-with-grv-vsn", "kernel_id": "26991208"}, {"ref": "ijcrook/tps-may-22-eda-and-catboost-model", "kernel_id": "26922573"}, {"ref": "rogeriodelfim/tps-may-2021-01-eda-baseline-xgb", "kernel_id": "26781230"}, {"ref": "charlottetu/playground-may-eda-in-r", "kernel_id": "26717544"}, {"ref": "charlottetu/tps-may-2022-python-xgboost", "kernel_id": "26892942"}, {"ref": "janamejay97/tps-may-22", "kernel_id": "26752923"}, {"ref": "waldemar/pca-and-mi", "kernel_id": "26716016"}, {"ref": "davidhguerrero/eda-of-data-tps-may22", "kernel_id": "26747044"}, {"ref": "nnjjpp/eda-may-2022-exploring-the-string-feature-f-27", "kernel_id": "26728682"}, {"ref": "utkarshshukla2912/random-forest-baseline-classification", "kernel_id": "26852915"}, {"ref": "utkarshshukla2912/cat-boost-feature-engineering", "kernel_id": "26981458"}, {"ref": "utkarshshukla2912/cat-boost-baseline-classification", "kernel_id": "26924150"}, {"ref": "jhotor/eda-of-dataset", "kernel_id": "26778108"}, {"ref": "paultimothymooney/getting-started-with-tensorflow-decision-forests", "kernel_id": "26722081"}, {"ref": "docxian/tps-2022-may-visual-baseline", "kernel_id": "26844509"}, {"ref": "uthamkanth/tpsmay2022-basic-eda-with-data-visualization", "kernel_id": "26703640"}, {"ref": "hughwinston/naive-bayes-quick-baseline", "kernel_id": "26984767"}, {"ref": "slythe/super-lightgbm-w-feature-engineering", "kernel_id": "26811618"}, {"ref": "slythe/feature-engine-selecting-creating-features", "kernel_id": "26814223"}, {"ref": "slythe/tps-may-super-eda-base-model", "kernel_id": "26786743"}, {"ref": "slythe/relative-features-w-lightgbm", "kernel_id": "26873322"}, {"ref": "slythe/tpsmay22-advanced-keras", "kernel_id": "26937634"}, {"ref": "delai50/tpsmay22-gbdts-quickstart-useful-interactions", "kernel_id": "26814578"}, {"ref": "tombresee/feature-entanglement", "kernel_id": "26752336"}, {"ref": "raviista/tpsmay22-art-of-eda", "kernel_id": "26713626"}, {"ref": "harshul23/tps-may-22-eda-interactions-fe-nn-99-5", "kernel_id": "26841221"}, {"ref": "harshul23/tps-may-22-eda-interactions-catboost", "kernel_id": "26769123"}, {"ref": "saurabhshahane/baseline-with-h2o-automl", "kernel_id": "26709705"}, {"ref": "bvarkoly/tabular-playground-2022-may", "kernel_id": "26788265"}, {"ref": "kaaveland/tps202205-quick-and-dirty-eda", "kernel_id": "26876384"}, {"ref": "stpeteishii/tps0522-lgbm", "kernel_id": "26707298"}, {"ref": "stpeteishii/tps0522-data-histplot", "kernel_id": "26706468"}, {"ref": "njhzzz/nn-6-minutes-0-99689", "kernel_id": "26941911"}, {"ref": "davidhammond/may-tp-xgboost-parameter-search", "kernel_id": "26963586"}, {"ref": "ted0071/tps-may-2022-eda-catboost", "kernel_id": "26708680"}, {"ref": "palsouradip/tableplaygroundmay22-xgb-lgbm-fastai-nn", "kernel_id": "26708082"}, {"ref": "jitensharma597/tsp2022-mlp", "kernel_id": "26992095"}, {"ref": "zhangcheche/tabular-202205-baseline", "kernel_id": "26877821"}, {"ref": "anirudhg15/single-model-tps-may-2022-w-xgb-w-b", "kernel_id": "26869113"}, {"ref": "hasanbasriakcay/tpsmay22-insightful-eda-fe-baseline", "kernel_id": "26708957"}, {"ref": "hasanbasriakcay/tpsmay22-my100-notebook-autoblendingfunc", "kernel_id": "26710377"}, {"ref": "bhavesh0124/basic-eda-with-insights-beginner", "kernel_id": "26804779"}, {"ref": "bhavesh0124/0-995-beginner-neural-swift-activation", "kernel_id": "26806569"}, {"ref": "ceruttivini/tpsmay22-eda-random-forest-w-tuning", "kernel_id": "26781111"}, {"ref": "mohammg/tabular-playground-series-may-2022-firststep", "kernel_id": "26725228"}, {"ref": "baratheonr6/tps-may22-f-27-feature-combination-search", "kernel_id": "26815383"}, {"ref": "baratheonr6/tps-may22-gplearn-base-model", "kernel_id": "26784668"}, {"ref": "shagkala/eda-detailed-feature-interactions-shap", "kernel_id": "26903782"}, {"ref": "devsubhash/tps-may-lightautoml-0-992", "kernel_id": "26764327"}, {"ref": "leo45890/tps-may-2022-eda-baseline-model", "kernel_id": "26731157"}, {"ref": "muhammedtausif/eda-tabular-playground-series-may-2022", "kernel_id": "26985909"}, {"ref": "mukaseevru/tps-may-22-fe-lama-lightautoml", "kernel_id": "26738447"}, {"ref": "tasnimnishatislam/data-charecter-exploartion", "kernel_id": "26703104"}, {"ref": "amarloni/tps-may-mlpclassifier", "kernel_id": "26794775"}, {"ref": "amarloni/tps-may-22", "kernel_id": "26756970"}, {"ref": "amarloni/tps-may2022", "kernel_id": "26713956"}, {"ref": "sytuannguyen/tps-may-2022-eda", "kernel_id": "26722521"}, {"ref": "aboriginal3153/tps-mar-22-neural-network-by-pytorch", "kernel_id": "26899204"}, {"ref": "aboriginal3153/ver-tps-mar-22-neural-network-with-pytorch", "kernel_id": "26963604"}, {"ref": "sawsanshakir/notebook-playground", "kernel_id": "26724363"}, {"ref": "antonellomartiello/tps-0522-eda-and-tabnet", "kernel_id": "26711208"}, {"ref": "akioonodera/tps-may2022-lgbm-binary", "kernel_id": "26727810"}, {"ref": "sanjaylalwani/tps-may22", "kernel_id": "26709535"}, {"ref": "guptadikshant/tps-may-2022", "kernel_id": "26811326"}, {"ref": "guptadikshant/tps-may-2022-nn-approach", "kernel_id": "26971072"}, {"ref": "rahul17121990/tabular-may-2022", "kernel_id": "26731877"}, {"ref": "pvtrmalli/tpsmay22-logestic-reg-all-you-need-to-know", "kernel_id": "26892656"}, {"ref": "cabaxiom/tps-may-22-eda-lgbm-model", "kernel_id": "26703210"}, {"ref": "cabaxiom/tps-may-22-in-depth-eda-feature-engineering", "kernel_id": "26718427"}, {"ref": "billbasener/tpsmay22-insightful-eda-fe-baseline", "kernel_id": "26774256"}, {"ref": "ranjeetshrivastav/tps-may-22-catboost", "kernel_id": "26835928"}, {"ref": "naoshermustakim/comprehensive-eda-tps-may", "kernel_id": "26703042"}, {"ref": "muki2003/may-2022-tabular-playground-deep-learning", "kernel_id": "26706040"}, {"ref": "l0r1knl/eda-umap-analysis-baseline-tpsmay2022", "kernel_id": "26719479"}, {"ref": "kimchanyoung/tps-may-2022-baseline-with-automl", "kernel_id": "26767327"}, {"ref": "gavisr/baseline-with-fast-automl-flaml", "kernel_id": "26800963"}, {"ref": "gavisr/let-s-get-started-with-the-lgbm-classifier", "kernel_id": "26723561"}, {"ref": "nguu0123/beginner-s-eda-fe-lgbm", "kernel_id": "26894793"}, {"ref": "tracyporter/may-22-binary-classification", "kernel_id": "26970349"}, {"ref": "kellibelcher/tps-may-2022-eda-lgbm-neural-networks", "kernel_id": "26894641"}, {"ref": "aryanml007/tps-may-2022-xgb-nn", "kernel_id": "26719532"}, {"ref": "venkatkumar001/pytorch-lighting-4", "kernel_id": "26759074"}, {"ref": "venkatkumar001/fast-ai-1", "kernel_id": "26755111"}, {"ref": "venkatkumar001/pytorch-tabular-2", "kernel_id": "26811394"}, {"ref": "venkatkumar001/obesitys4-tensorflow-embed-xgb-lb-0-874", "kernel_id": "26810181"}, {"ref": "goldchildbright/tabnet-baseline", "kernel_id": "26727552"}, {"ref": "mirenaborisova/tps-may-2022-eda-lgbm-lb-0-99382", "kernel_id": "26894825"}, {"ref": "ashokkumargarain/notebook457bf07179", "kernel_id": "26809522"}, {"ref": "ikpeleambrose/notebook1b34aa8513", "kernel_id": "26827967"}, {"ref": "calebreigada/getting-started-eda-preprocessing", "kernel_id": "26711143"}, {"ref": "leesstephanie/tps-may-22-many-models-almost-same-results", "kernel_id": "26712458"}, {"ref": "reenarajendraprasad/tabularbinaryclass-may", "kernel_id": "26862449"}, {"ref": "jeonghyunha/tps-may-2022-simple-eda-automl", "kernel_id": "26856684"}, {"ref": "ninamaamary/neural-network-tps-05-2022", "kernel_id": "26918492"}, {"ref": "sv7productions/tabular-playground-series-may-2022", "kernel_id": "26980786"}, {"ref": "foolishboi/tps-may22-xgb-baseline", "kernel_id": "26763788"}, {"ref": "foolishboi/dataprep-eda", "kernel_id": "26774024"}, {"ref": "ivjyotsingh/tps-may-22-neural-networks", "kernel_id": "26791686"}, {"ref": "flaviocavalcante/tps-may-22-just-eda", "kernel_id": "26744011"}, {"ref": "shimjongsoo/tps-may22-catboost-automl", "kernel_id": "26857648"}, {"ref": "min02yam/tpsmay22-eda-based-on-statistics", "kernel_id": "26840807"}, {"ref": "dlaststark/tps-may22-eda-insights", "kernel_id": "26706757"}, {"ref": "dlaststark/tps-may22-all-those-trees", "kernel_id": "26708331"}, {"ref": "dlaststark/tps-may22-what-tf-again", "kernel_id": "26890103"}, {"ref": "une510/tps-may-2022-lgbm-targetencoder-optuna", "kernel_id": "26722261"}, {"ref": "casati8/kaggle-tps2022-may-fastai-baseline", "kernel_id": "26713997"}, {"ref": "raj401/simple-clean-eda-tps-may", "kernel_id": "26767373"}, {"ref": "itsabhijith/tabular-playground-series-may-2022", "kernel_id": "26771851"}, {"ref": "masatomurakawamm/tps-may22-1d-cnn-for-f-27-n-gram-tabtransformer", "kernel_id": "26714299"}, {"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "rhythmcam/tps-may-22-feature-importance", "kernel_id": "26707133"}, {"ref": "rhythmcam/util-get-unique-letter-count", "kernel_id": "26709538"}, {"ref": "rhythmcam/tps-may-22-xgboost-simple-baseline", "kernel_id": "26704034"}, {"ref": "rhythmcam/tps-may-22-autopreprocessdata", "kernel_id": "26704793"}, {"ref": "rhythmcam/tps-may-22-lightautoml-prediction", "kernel_id": "26865112"}, {"ref": "rhythmcam/tps-may-22-h2o-prediction", "kernel_id": "26857177"}, {"ref": "wasshoiwasshoi/tps-2022-may-with-automl-pycaret1", "kernel_id": "26791583"}, {"ref": "adwaitkesharwani/simple-prediction-using-xgboost", "kernel_id": "26712997"}, {"ref": "jagofc/tps-may-2022-lgbm-baseline-in-r", "kernel_id": "26890129"}, {"ref": "kotrying/tps22-05", "kernel_id": "26703035"}, {"ref": "egemenuurdalg/tps-may", "kernel_id": "26883216"}, {"ref": "luckychitundu/tabular-playgrounds-3-models-in-1", "kernel_id": "26880191"}, {"ref": "m1y7k8/tps-may-2022-eda-dtc-rfc-lgb-xgb", "kernel_id": "26829550"}, {"ref": "ambrosm/tpsmay22-advanced-keras", "kernel_id": "26883007"}, {"ref": "ambrosm/tpsmay22-eda-which-makes-sense", "kernel_id": "26703252"}, {"ref": "ambrosm/tpsmay22-gradient-boosting-quickstart", "kernel_id": "26706271"}, {"ref": "ambrosm/tpsmay22-keras-quickstart", "kernel_id": "26707945"}, {"ref": "jiprud/tps-may22-xgb-classsifier", "kernel_id": "26715854"}, {"ref": "dcrowd/tpa-may-binarysearch-eda-fe-preliminary-logistic", "kernel_id": "26802809"}, {"ref": "wajidhassanmoosa/tabular-playground-series-may-2022-xgb", "kernel_id": "26867438"}, {"ref": "gregoryoliveira/tabular-playground-series-may-2022", "kernel_id": "26789260"}, {"ref": "mukeshrajm/tps-may-2022-neuralnets-fastai-hgboost-r-forest", "kernel_id": "26705892"}, {"ref": "arnavr10880/tps-may-22-tensorflow-decision-forests", "kernel_id": "26782366"}, {"ref": "yuyougnchan/hyperparameter-tuning-optuna-tutorial", "kernel_id": "26760510"}, {"ref": "yuyougnchan/eda-autolgbm-model", "kernel_id": "26960806"}, {"ref": "sfktrkl/tps-may-2022-nn", "kernel_id": "26751650"}, {"ref": "rakeshsahni/tabular-playground-series-may-2022", "kernel_id": "26872052"}, {"ref": "lovroselic/may2022-ls", "kernel_id": "26708195"}, {"ref": "gopalgoyal612002/auto-ml", "kernel_id": "26800155"}, {"ref": "imnaho/eda-predict-with-lgbmclassifier", "kernel_id": "26810336"}, {"ref": "asmaabdolahpoor/tps-may-22-eda-lgbm-model", "kernel_id": "26893910"}, {"ref": "sathyakrishnan12/kaggle-tps-may-22", "kernel_id": "26714460"}, {"ref": "zwartfreak/easiest-tps-analysis-prediction-85-initial-acc", "kernel_id": "26785035"}, {"ref": "paulomarquies/tps-may-22-xgboost", "kernel_id": "26714986"}, {"ref": "ehekatlact/tps2205-pycaret", "kernel_id": "26752338"}, {"ref": "ehekatlact/tps2205-pytorch-0508", "kernel_id": "26880715"}, {"ref": "rajnishkumar546/tps-may", "kernel_id": "26786267"}, {"ref": "shashankkumar1234567/shashank", "kernel_id": "26882582"}, {"ref": "shashankkumar1234567/shashank-kumar", "kernel_id": "26929761"}, {"ref": "abdulravoofshaik/meta-classifier-built-on-seven-models", "kernel_id": "26703903"}, {"ref": "harshitkmr/tps22-may-lgbm-beginners", "kernel_id": "26707204"}, {"ref": "abhishek123maurya/tps-may-decoding-f-27", "kernel_id": "26740667"}, {"ref": "javigallego/massive-pca-outlier-detection-tutorial", "kernel_id": "26307993"}, {"ref": "yamachan/tps22may-lgbmprac", "kernel_id": "26990918"}, {"ref": "yasseinmahmoud/eda-feature-engineering-nn-prediction-may-2022", "kernel_id": "26877720"}, {"ref": "wonjinkim1010/tps-5-le-rf", "kernel_id": "26879971"}, {"ref": "prashanthacsq/tps-may22-ml-baseline", "kernel_id": "26707559"}, {"ref": "cbeaud/tps-may-2022-lgbm-fe-optuna", "kernel_id": "26802024"}, {"ref": "willsanger/tabu-play-may-2022-try1", "kernel_id": "26782503"}, {"ref": "jbm1966/h2o-gbm-test", "kernel_id": "27305879"}, {"ref": "jamesmcguigan/tps-may-2022-lightgbm-regression", "kernel_id": "27536933"}, {"ref": "jamesmcguigan/tps-may-2022-scikit-learn-ensemble", "kernel_id": "27539114"}, {"ref": "jamesmcguigan/tps-may-2022-lgbm-xgb-cb-regression", "kernel_id": "27545023"}, {"ref": "jamesmcguigan/tps-may-2022-lgbm-xgb-cb-classification", "kernel_id": "27546920"}, {"ref": "jamesmcguigan/tps-may-2022-pycaret2-automl-regression", "kernel_id": "27304827"}, {"ref": "cv13j0/tps-may22-ensemble-nn-gbdt-grv-vsn", "kernel_id": "27276975"}, {"ref": "rumasinha/binaryclassificationtabulardatalime", "kernel_id": "27487752"}, {"ref": "rogeriodelfim/tps-may-2021-02-xgb-feature-engineering", "kernel_id": "27463971"}, {"ref": "eduus710/tps-may-22-feature-interaction-boundaries", "kernel_id": "27581125"}, {"ref": "waldemar/tpsmay22-lb-0-98139-trained-only-on-1-test-data", "kernel_id": "27548078"}, {"ref": "peressim/tps-may-2022-xgboost", "kernel_id": "27251897"}, {"ref": "peressim/tps-may-2022-eda", "kernel_id": "27251083"}, {"ref": "nnjjpp/tps-may-2022-xgb-hyperparameter-tuning-0-994", "kernel_id": "27551503"}, {"ref": "nnjjpp/tps-may-2022-using-a-pipeline", "kernel_id": "27358876"}, {"ref": "andrewnuk/hypertuning-level2", "kernel_id": "27434276"}, {"ref": "andrewnuk/model-level3", "kernel_id": "27448358"}, {"ref": "andrewnuk/models-level2", "kernel_id": "27446931"}, {"ref": "andrewnuk/models-level1-stacking", "kernel_id": "27411703"}, {"ref": "andrewnuk/kfolds-5", "kernel_id": "27371356"}, {"ref": "andrewnuk/hypertuning-xgb-cb-lgbm", "kernel_id": "27372732"}, {"ref": "slythe/lightgbm-nn-ensemble-w-relative-features", "kernel_id": "27003102"}, {"ref": "slythe/meta-model-predicting-from-predictions", "kernel_id": "27355461"}, {"ref": "naushads/tps-may-2022-eda-feature-engineering", "kernel_id": "27159026"}, {"ref": "naushads/tps-may-2022-lgbmclassifier", "kernel_id": "27166297"}, {"ref": "welkin10/tpsmay22-lgbm-tuned-solution", "kernel_id": "27047086"}, {"ref": "rcoletto/tps-may-2022-eda-logistic-regression-rf", "kernel_id": "27471288"}, {"ref": "nitibbgg/simple-tutorial-for-beginner-gradientboosting", "kernel_id": "27319818"}, {"ref": "nickmhnk/tps-may-2022-bilstm-overkill-experiment", "kernel_id": "27481346"}, {"ref": "matthewszhang/tps-may-pytorch-with-gpu", "kernel_id": "27211369"}, {"ref": "matthewszhang/tps-may-eda-and-feature-enigneering-learning-notes", "kernel_id": "27028090"}, {"ref": "datauma/tps-may22-binary-classification", "kernel_id": "27897071"}, {"ref": "rohitmohite/my-first-edition-tabular-playground", "kernel_id": "27221968"}, {"ref": "iampunitkmryh/beginner-kaggle-tabluar-playground-may-2022", "kernel_id": "27381334"}, {"ref": "jitensharma597/tsp2022-tabnet", "kernel_id": "27041993"}, {"ref": "jitensharma597/tsp2022-lgbm-light-gradient-boosting-machine", "kernel_id": "27119425"}, {"ref": "jitensharma597/tsp2022-lgbm-features-v2", "kernel_id": "27148126"}, {"ref": "jitensharma597/tps-may-2022-ensemble-lb", "kernel_id": "27110599"}, {"ref": "jitensharma597/tpsmay22-auc-ensembling-v2", "kernel_id": "27341010"}, {"ref": "cid007/tpmay", "kernel_id": "27514127"}, {"ref": "fajerbolt/tps-may-2022-final-summary-notebook", "kernel_id": "27742207"}, {"ref": "mehrankazeminia/tpsmay22-auc-ensembling", "kernel_id": "27313772"}, {"ref": "robertturro/tps-may-2022-eda-feature-selection", "kernel_id": "27201432"}, {"ref": "robertturro/neural-network-model", "kernel_id": "27276285"}, {"ref": "juanromera/tabular-playground-series-may-2022", "kernel_id": "27033731"}, {"ref": "bbrown44/tabular-playground-series-may-2022bb", "kernel_id": "27066262"}, {"ref": "guptadikshant/tps-may-2022-nn-approach-2", "kernel_id": "27032693"}, {"ref": "cabaxiom/tps-may-22-visualising-feature-interaction", "kernel_id": "27070020"}, {"ref": "neerajkaroshi/tpsmay22-v2-neural-network", "kernel_id": "27533858"}, {"ref": "neerajkaroshi/tpsmay22-w-tf-decision-forest-randomforest", "kernel_id": "27535679"}, {"ref": "neerajkaroshi/tpsmay22", "kernel_id": "27525399"}, {"ref": "venkatkumar001/tps-may2022-weight-and-biases-part-1", "kernel_id": "27027280"}, {"ref": "venkatkumar001/tps-may2022-weight-biases-part-2", "kernel_id": "27031572"}, {"ref": "shirorin/tabular-playground-series-may-2022", "kernel_id": "27171667"}, {"ref": "danielebaldoni/pandas-profiling-for-eda-examples", "kernel_id": "27669679"}, {"ref": "chantom/fi-f-27-fe-optuna-lgbm", "kernel_id": "27098187"}, {"ref": "prashantpathak244/basic-xgboost-implementation", "kernel_id": "27032504"}, {"ref": "mirenaborisova/tps-may-2022-ensemble-lb-0-99825", "kernel_id": "27063217"}, {"ref": "kartikeychauhan/tabular-playground-series-may-2022", "kernel_id": "27364616"}, {"ref": "vvekparmar/tabular-playground-series-may2022", "kernel_id": "27272576"}, {"ref": "ashishkattel/simple-approach-random-forest-logistic-regression", "kernel_id": "27236142"}, {"ref": "arunasivapragasam/tps-may-2022-easiest-xgboost", "kernel_id": "27250412"}, {"ref": "kottoz/tps-may22-pytorch", "kernel_id": "27515694"}, {"ref": "nadhiarpradana/simple-tps-may-2022-0-99824", "kernel_id": "27062421"}, {"ref": "foolishboi/ensemble-guide", "kernel_id": "27078474"}, {"ref": "pourchot/tpsmay22-keras-test-tuned", "kernel_id": "27125049"}, {"ref": "pourchot/tps-2022-05-important-features-updated", "kernel_id": "27183112"}, {"ref": "alfamame/tps-may-2022-ann", "kernel_id": "27055758"}, {"ref": "ritzig/feature-interaction-tutorial-pdp-shap-ensemble-mod", "kernel_id": "27180088"}, {"ref": "guillermofantoni/tabular-playground-series-binary-classification", "kernel_id": "27115296"}, {"ref": "shivanisinghal/tps-may22-tf-decision-forest", "kernel_id": "27258054"}, {"ref": "tariqchhussain/xgbclassifier-optuna-k-fold-tps-may-22", "kernel_id": "27297407"}, {"ref": "raj401/eda-experiments-tmay", "kernel_id": "27364128"}, {"ref": "priyanagda/simple-xgboost", "kernel_id": "27064584"}, {"ref": "priyanagda/fork-of-simple-xgboost", "kernel_id": "27200773"}, {"ref": "priyanagda/catboost", "kernel_id": "27201095"}, {"ref": "zocainviken/tabularplaygroundmay2022-eda", "kernel_id": "27211832"}, {"ref": "azminetoushikwasi/all-imputation-techniques-with-pros-and-cons", "kernel_id": "27588167"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "akanshakhandelwal08/may-tps-22-xgboost-gridsearchcv", "kernel_id": "27010801"}, {"ref": "kotrying/tps0522-generate-special-features", "kernel_id": "27376050"}, {"ref": "ayushjain001/tabular-playground-may2022", "kernel_id": "27202541"}, {"ref": "srivnaman/logistic-rf-lightgbm", "kernel_id": "27465580"}, {"ref": "hastingssibanda/tpsmay2022-hs2", "kernel_id": "27470285"}, {"ref": "nikhilsharma24/tps-may-python-f-27-only", "kernel_id": "27027579"}, {"ref": "hosseinbehjat/tps-may-22-lgbm-optuna", "kernel_id": "27030967"}, {"ref": "hosseinbehjat/tps-may-22-xgb-fe-onehot-optuna", "kernel_id": "27107378"}, {"ref": "hosseinbehjat/tps-may-22-lgbm-fe-onehot-optuna", "kernel_id": "27164252"}, {"ref": "ahmedtoba/xgb-rf-knn-lgbm", "kernel_id": "27412862"}, {"ref": "motchan/lightgbm-kfold-optuna-tuning", "kernel_id": "27156818"}, {"ref": "aleespinosa/learning-pyspark-with-may22-tps", "kernel_id": "27318375"}, {"ref": "bumstern/eda-tps-may-2022", "kernel_id": "27089563"}, {"ref": "izainab/tps22-may-keras", "kernel_id": "27349263"}, {"ref": "ehekatlact/pytorch-lightning", "kernel_id": "27444418"}, {"ref": "mustafakeser4/tps-may-keras-cnn-2d-1d", "kernel_id": "27063973"}, {"ref": "rajnishkumar546/tps-may2", "kernel_id": "27156813"}, {"ref": "r0hn00/tps-may22", "kernel_id": "27387089"}, {"ref": "floopybits/lgbm-optuna", "kernel_id": "27429470"}, {"ref": "lszlbebesi/catboost-with-eda-and-feature-selection-tps05-22", "kernel_id": "27332346"}, {"ref": "sarthak333/tabular-series-may", "kernel_id": "27173036"}, {"ref": "yasseinmahmoud/factor-variables-with-many-levels", "kernel_id": "27970605"}, {"ref": "samuelsaintomer/notebook54062b4623", "kernel_id": "27168171"}, {"ref": "werus23/tps-may2022", "kernel_id": "27151248"}, {"ref": "x1akshay/tabular-playground-eda-binary-n-network", "kernel_id": "27484469"}, {"ref": "brennensteinbauer/python5-25", "kernel_id": "27395217"}, {"ref": "btharunkumar/playround-series-may-2022", "kernel_id": "27313886"}, {"ref": "soanmo/tpseries-may-2022-best-score", "kernel_id": "28019909"}, {"ref": "maulikbahri/tabular-playground-comp", "kernel_id": "28268843"}, {"ref": "maulikbahri/final-subsion-to-may-22-tps", "kernel_id": "28646620"}, {"ref": "ahmedhany590/tps-may2022-lgbm-tuning-with-hyperopt-cv", "kernel_id": "28464397"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "muhammetgamal5/tps-may-22-lightgbm-optuna", "kernel_id": "29075676"}, {"ref": "wulalala/ml-baseline", "kernel_id": "30273959"}, {"ref": "wulalala/torch-baseline", "kernel_id": "30385010"}, {"ref": "wulalala/hpo-demo", "kernel_id": "30568570"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "shengzn/notebook6438a35ede", "kernel_id": "30812442"}, {"ref": "leodaniel/techshot-ml-05", "kernel_id": "31462668"}, {"ref": "angelicalo/shotml1", "kernel_id": "31463834"}, {"ref": "michelebenta/cursoml-desafio", "kernel_id": "31728461"}, {"ref": "deepernet/9th-place-solution-in-tpsmay22", "kernel_id": "31955860"}, {"ref": "pedrofortunato/exercicio01-techshot", "kernel_id": "31702734"}, {"ref": "pablomendesfaria/tps-test-models", "kernel_id": "31466996"}, {"ref": "abrorshopulatov/cross-validation-with-light-gbm-xgboost-catboost", "kernel_id": "32969557"}, {"ref": "winstonsdodson/feat-eng-hgbc-only", "kernel_id": "33085948"}, {"ref": "gachicode/my-pet-project", "kernel_id": "33132816"}, {"ref": "hatimchifa/tabular-playground-series-may-2022", "kernel_id": "33642395"}, {"ref": "slythe/single-model-feature-engine-pss5e5", "kernel_id": "34813797"}, {"ref": "andreylalaley/analysing-interactions-with-shap", "kernel_id": "34151508"}, {"ref": "vvviiii/tpsmay22-advanced-keras", "kernel_id": "38158697"}, {"ref": "rhythm004/rhythm-logistic-regression", "kernel_id": "49514633"}, {"ref": "manafabduljabbar/meta-classifier-skin-cancer-detection", "kernel_id": "53682981"}, {"ref": "manafabduljabbar/fork-of-meta-classifier-skin-cancer-detectio", "kernel_id": "54207571"}, {"ref": "bensusenakkta/meta-classifier-skin-cancer-detection", "kernel_id": "56132173"}, {"ref": "brunopascoa/meta-classifier-skin-cancer-detection", "kernel_id": "59363095"}]}
{"competition_id": "33106", "kernels": [{"ref": "swagician/june-r-forest-imputation-adjusting-hyperparams", "kernel_id": "20919378"}, {"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "alexryzhkov/tps-jun-22-lightautoml-imputer", "kernel_id": "27569986"}, {"ref": "inversion/get-started-with-mean-imputation", "kernel_id": "27408432"}, {"ref": "dwin183287/tps-june-2022-eda", "kernel_id": "27631430"}, {"ref": "wti200/model-inspection-with-shap", "kernel_id": "27793337"}, {"ref": "pardeep19singh/tps-june-2022-understanding-data-distributions", "kernel_id": "27666592"}, {"ref": "cv13j0/tps-jun22-nn-multivariate-feature-imputation", "kernel_id": "27637731"}, {"ref": "cv13j0/tps-jun22-multivariate-feature-imputation", "kernel_id": "27583792"}, {"ref": "ijcrook/tps-easy-to-use-imputation-techniques", "kernel_id": "27606450"}, {"ref": "maulberto3/tps-jun-2022-regression-based-imputer-w-pipeline", "kernel_id": "27554492"}, {"ref": "charlottetu/tps-jun-22-quick-eda", "kernel_id": "27570845"}, {"ref": "davidhguerrero/feature-importance-with-lgbmregressor-with-k-folds", "kernel_id": "27943487"}, {"ref": "docxian/tps-2022-june-r-starter", "kernel_id": "27619008"}, {"ref": "slythe/imputation-testing-tps-june-22", "kernel_id": "27895764"}, {"ref": "slythe/exploration-for-imputation-tps-jun-22", "kernel_id": "27691913"}, {"ref": "nikhilkhetan/setting-up-a-validation-set", "kernel_id": "27648589"}, {"ref": "nikhilkhetan/f-2-features-search-for-meaning", "kernel_id": "27844000"}, {"ref": "rcoletto/tps-jun-2022-eda-median", "kernel_id": "27591264"}, {"ref": "matthewszhang/tps-june-interactive-eda-sklearn-imputer", "kernel_id": "27552323"}, {"ref": "raviista/xgboost-is-back", "kernel_id": "27560644"}, {"ref": "raviista/tpsjune22-art-of-eda", "kernel_id": "27557835"}, {"ref": "justinvanzyl/missxgb", "kernel_id": "27745117"}, {"ref": "akmalmir/missing-values-imputation-with-iterativeimputer", "kernel_id": "27555593"}, {"ref": "godzill22/interactive-eda", "kernel_id": "27708455"}, {"ref": "godzill22/auto-eda", "kernel_id": "27557365"}, {"ref": "vertigo42/tps-june22-imputation-regression-comparison", "kernel_id": "27961562"}, {"ref": "zhenka/0606-eda-for-insights", "kernel_id": "27737154"}, {"ref": "stpeteishii/tps0622-histpot", "kernel_id": "27671299"}, {"ref": "stpeteishii/tps0622-lgbm", "kernel_id": "27781314"}, {"ref": "micajoumathematics/some-insights-into-missing-values", "kernel_id": "27922950"}, {"ref": "mpwolke/labelspreading-labelpropagation", "kernel_id": "27577209"}, {"ref": "hasanbasriakcay/tpsjun22-insightful-eda-baselines", "kernel_id": "27557725"}, {"ref": "hasanbasriakcay/tpsjun22-10xfastersubmissionfunction", "kernel_id": "27558188"}, {"ref": "naiborhujosua/loading-your-data-faster", "kernel_id": "27845638"}, {"ref": "oxzplvifi/tps2206-gbm-resnet-imputation", "kernel_id": "27758710"}, {"ref": "shagkala/missing-data-analysis-using-missingno", "kernel_id": "27570607"}, {"ref": "devsubhash/tps-eda-xgb-simpleimputer", "kernel_id": "27966410"}, {"ref": "vipin20/tsp-june22-handling-missing-value", "kernel_id": "27561406"}, {"ref": "mukaseevru/tps-jun-22-lama-lightautoml-mean-in-loop", "kernel_id": "27722965"}, {"ref": "mukaseevru/tps-jun-22-lama-lightautoml-in-loop", "kernel_id": "27567279"}, {"ref": "mehrankazeminia/tps22jun-coordinate-one-by-one", "kernel_id": "27893574"}, {"ref": "akioonodera/tps-jun2022-lgbm-regression", "kernel_id": "27557126"}, {"ref": "robertturro/june-tps-simple-imputation", "kernel_id": "27804155"}, {"ref": "robertturro/eda-feature-distributions-skewness-and-kurtosis", "kernel_id": "27714717"}, {"ref": "sanjaylalwani/tps-jun22-data-impute-lb-0-9", "kernel_id": "27555358"}, {"ref": "sanjaylalwani/tps-jun22-statistics", "kernel_id": "27562111"}, {"ref": "bannourchaker/crisp-dm-dataunderstanding-part1-auto-eda", "kernel_id": "27655947"}, {"ref": "bannourchaker/crisp-dm-dataunderstanding-part2-auto-eda-2", "kernel_id": "27789625"}, {"ref": "lonnieqin/tps-june-2022-imputation-with-55-lgbm-regressors", "kernel_id": "27617247"}, {"ref": "lonnieqin/tps-june-2022-create-pickle-dataset", "kernel_id": "27612905"}, {"ref": "cabaxiom/tps-jun-22-eda", "kernel_id": "27575648"}, {"ref": "cabaxiom/tps-jun-22-lightgbm-just-regression", "kernel_id": "27652878"}, {"ref": "mdshahbazalam/june-2022-lgbm", "kernel_id": "27702837"}, {"ref": "seongwonr/fast-imputation-with-handmade-class", "kernel_id": "27888957"}, {"ref": "hanselliott/tpsjun2022-xgb-missforest-knn", "kernel_id": "27999510"}, {"ref": "pranjalverma08/tps-june-eda-imputer-starter", "kernel_id": "27557428"}, {"ref": "hikarumoriya/imputation-of-mean-value", "kernel_id": "27731064"}, {"ref": "hikarumoriya/quick-eda-and-missing-values-tutorial", "kernel_id": "27787907"}, {"ref": "taeyeons/fork-of-0613-kaggle-competition-tabular", "kernel_id": "27933696"}, {"ref": "taeyeons/0613-kaggle-competition-tabular", "kernel_id": "27872947"}, {"ref": "tracyporter/june-2022-imputation-tracy-s-code", "kernel_id": "27780708"}, {"ref": "tracyporter/june-2022-imputation-iterative", "kernel_id": "27806498"}, {"ref": "zhixx018/0611-eda-lgb", "kernel_id": "27602094"}, {"ref": "reymaster/iterative-imputer-xgboost-baseline", "kernel_id": "27552584"}, {"ref": "reymaster/starter-code-sklearn-simpleimputer", "kernel_id": "27551976"}, {"ref": "desalegngeb/tps-june-22-quick-overview-modelling-using-xgb", "kernel_id": "27551725"}, {"ref": "seungmoklee/55-xgboosts-with-mean-imputation", "kernel_id": "27691576"}, {"ref": "prashantpathak244/missing-value-eda-and-xgboost-imputing", "kernel_id": "27820573"}, {"ref": "asheniranga/tps-jun-imputer", "kernel_id": "27555329"}, {"ref": "mirenaborisova/tps-june-22-simpleimputer-lgbm-lb-0-87540", "kernel_id": "27590319"}, {"ref": "ashokkumargarain/notebookb48c9e605e", "kernel_id": "27890286"}, {"ref": "sihyunlee/sihyun-imputation", "kernel_id": "27951984"}, {"ref": "ashishkattel/playground-series", "kernel_id": "27673386"}, {"ref": "bogdandoicin/improved-lgbm-and-mean", "kernel_id": "27791224"}, {"ref": "mahmoudlimam/some-eda-tabular-june-2022", "kernel_id": "27846829"}, {"ref": "foolishboi/tpsjun22-fancyimpute", "kernel_id": "27564247"}, {"ref": "ivjyotsingh/tps-jun-22-mice", "kernel_id": "27707026"}, {"ref": "shtrausslearning/model-based-data-imputation", "kernel_id": "27571410"}, {"ref": "ankitpathakzeal/imputation-tabular-playground-june-2022", "kernel_id": "27993681"}, {"ref": "mohamedmagdy11/tps-jun-22-eda-lightgbm-modeling", "kernel_id": "27647797"}, {"ref": "tharunnayak14/tps-june-22-imputation-techniques-beginner-to-adv", "kernel_id": "27601746"}, {"ref": "une510/tps-june-2022", "kernel_id": "27577217"}, {"ref": "francescocolicino/tps-june-eda-r-with-data-table", "kernel_id": "27564255"}, {"ref": "masatomurakawamm/tps-jun22-application-of-masked-language-model", "kernel_id": "27639730"}, {"ref": "emansalah2000/play-ground-series", "kernel_id": "27657757"}, {"ref": "azminetoushikwasi/all-imputation-techniques-with-pros-and-cons", "kernel_id": "27588167"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "wasshoiwasshoi/tps-2022-jun-using-lightgbm-for-now", "kernel_id": "27802197"}, {"ref": "mehrdadsadeghi/tpsjun2022-missing-data-imputation-tensorflow-nn", "kernel_id": "27786068"}, {"ref": "akanshakhandelwal08/tps-june-2022", "kernel_id": "27586007"}, {"ref": "kotrying/tps0622-simple-imputation", "kernel_id": "27552267"}, {"ref": "egemenuurdalg/tps-june-is-h2o-xgboost-is-faster", "kernel_id": "27723936"}, {"ref": "mahditavakol/june-2022-xgbregressor-mean", "kernel_id": "27671816"}, {"ref": "mahditavakol/june-2022-xgbregressor-addpredictions", "kernel_id": "27669558"}, {"ref": "martynovandrey/tps-jun-22-splitted-dataset-24x-faster", "kernel_id": "27566258"}, {"ref": "arturra/analysis-of-nans", "kernel_id": "27998227"}, {"ref": "akritisood175/tps-missing-values", "kernel_id": "27572447"}, {"ref": "ygorana/tps-june-2022-ultra-fast-submissions-50s", "kernel_id": "27755849"}, {"ref": "mahendragundeti/eda-for-understanding", "kernel_id": "27648751"}, {"ref": "m1y7k8/tps-jun-2022-eda-imputation-interpolation", "kernel_id": "27611757"}, {"ref": "jiprud/sklearn-impute-test", "kernel_id": "27951520"}, {"ref": "barbagrande007/bbg007-imputation", "kernel_id": "27860771"}, {"ref": "srivnaman/eda-practice", "kernel_id": "27574284"}, {"ref": "hosseinbehjat/simple-eda", "kernel_id": "27566994"}, {"ref": "hosseinbehjat/tpsjun22-simple-eda-and-statistical-impute", "kernel_id": "27604691"}, {"ref": "hosseinbehjat/ensemble-tpsjun22", "kernel_id": "27813012"}, {"ref": "hosseinbehjat/lgbm-optuna-tpsjun22", "kernel_id": "27674862"}, {"ref": "ravi20076/tpsjun22-extensiveeda-groups13", "kernel_id": "27705539"}, {"ref": "sfktrkl/tps-june-2022", "kernel_id": "27884779"}, {"ref": "gopalgoyal612002/tps-june-neural-network", "kernel_id": "27824819"}, {"ref": "gopalgoyal612002/tps-june", "kernel_id": "27677874"}, {"ref": "imnaho/tps-jun22-eda-predict", "kernel_id": "27598339"}, {"ref": "minhtrthn/tps-jun-2022-validation-set-split", "kernel_id": "27954078"}, {"ref": "ohba0321/lightgbm-impute", "kernel_id": "27889592"}, {"ref": "ohba0321/lightgbm", "kernel_id": "27813561"}, {"ref": "ohba0321/mean-method", "kernel_id": "27555555"}, {"ref": "varunnagpalspyz/tps-june-2022-iterativeimputer-2x-baseline", "kernel_id": "27605051"}, {"ref": "ehekatlact/tps2206-convert-submission-to-data", "kernel_id": "27610602"}, {"ref": "ehekatlact/tps2206-lgbm-gpu-loop", "kernel_id": "27639111"}, {"ref": "ehekatlact/tps2206-pytorch-lightning", "kernel_id": "27668325"}, {"ref": "ehekatlact/in-a-random-distribution-using-mean-is-best", "kernel_id": "27718052"}, {"ref": "ehekatlact/tps2206-create-submission-25s", "kernel_id": "27763831"}, {"ref": "ehekatlact/tps2206-gan-maybe-pytorch-lightning-wandb", "kernel_id": "27818817"}, {"ref": "ehekatlact/tps2206-the-na-count-of-each-record-is-critical", "kernel_id": "27888834"}, {"ref": "ehekatlact/tps2206-fast-knn", "kernel_id": "27838593"}, {"ref": "ehekatlact/tps2206-check-isna", "kernel_id": "27839976"}, {"ref": "imvision12/tps-june-techniques-for-handling-missing-values", "kernel_id": "27554931"}, {"ref": "mustafakeser4/tps-jun-eda-sklearn-impute", "kernel_id": "27592589"}, {"ref": "gomohit/getting-started-with-median-imputation", "kernel_id": "27557678"}, {"ref": "vandittyagi0909/tabular-playground-june2022", "kernel_id": "27733397"}, {"ref": "abdulravoofshaik/meta-learning-for-missing-values-tutorial", "kernel_id": "27881043"}, {"ref": "abdulravoofshaik/may-the-best-man-model-learn-ensemble4imputation", "kernel_id": "27681417"}, {"ref": "abdulravoofshaik/top-3-solution-lgbm-mean", "kernel_id": "27586018"}, {"ref": "abdulravoofshaik/f1-and-f3-are-time-series-data", "kernel_id": "27650273"}, {"ref": "abdulravoofshaik/quick-eda-and-missing-values-tutorial", "kernel_id": "27551915"}, {"ref": "lszlbebesi/missing-value-treatment-with-multiple-methods", "kernel_id": "27709783"}, {"ref": "djustin/eda-by-dataprep", "kernel_id": "27559322"}, {"ref": "djustin/lgb-cpu", "kernel_id": "27582691"}, {"ref": "djustin/mean-and-lgb", "kernel_id": "27647226"}, {"ref": "copypastebro/basic-iterative-imputation-benchmark", "kernel_id": "27552813"}, {"ref": "shilongzhuang/interesting-eda-insights-tps-june-2022", "kernel_id": "27810556"}, {"ref": "shariful07/tps-jun2022-lgbmregressor", "kernel_id": "27668056"}, {"ref": "rizqyad/pandas-vs-cudf", "kernel_id": "27817315"}, {"ref": "hirotokitamur/hk-tabular-playground-series-jun-2022", "kernel_id": "27834528"}, {"ref": "marctris/msp-tab-playground", "kernel_id": "27956987"}, {"ref": "alexryzhkov/lightautoml-nn-imputer-tps-june-22", "kernel_id": "28099228"}, {"ref": "daru191854/single-network-like-mlm", "kernel_id": "28221243"}, {"ref": "sugamkhetrapal/tps-jun-2022-1-01-eda-dataprep", "kernel_id": "28383308"}, {"ref": "sugamkhetrapal/tps-jun-2022-1-02-eda-sweetviz", "kernel_id": "28383681"}, {"ref": "ginojp/out-of-bag-error", "kernel_id": "28141371"}, {"ref": "stautxie/june-2022-tabular-playground", "kernel_id": "28104568"}, {"ref": "btbpanda/py-boost-multioutput-models-for-imputation", "kernel_id": "28325981"}, {"ref": "athews/tpsjune22-eda-xgboost-nn-model", "kernel_id": "28212598"}, {"ref": "rsesha/tps-june-featurewiz-score-0-899-in-10-lines", "kernel_id": "28290694"}, {"ref": "eduus710/tps-jun2022-how-random-are-the-nans", "kernel_id": "28004283"}, {"ref": "peressim/tps-jun-2022-eda-fillna-interpolation", "kernel_id": "28215703"}, {"ref": "nnjjpp/imputation-using-sgdregressor-tps-june-2022", "kernel_id": "28290243"}, {"ref": "andrewnuk/lightlgb-kfolds", "kernel_id": "28085988"}, {"ref": "andrewnuk/lightgbm", "kernel_id": "28063063"}, {"ref": "andrewnuk/lightgbm-5kfolds", "kernel_id": "28176662"}, {"ref": "harshul23/tps-june-2022-xgboost-with-correlation-0-92", "kernel_id": "28073004"}, {"ref": "mpwolke/biokit-tps-jun-2022", "kernel_id": "28368031"}, {"ref": "oxzplvifi/tps22jun-tensorflow-with-na-counts", "kernel_id": "28289689"}, {"ref": "a1248654/linear-regression-predictor", "kernel_id": "28062731"}, {"ref": "a1248654/simple-mean-imputer", "kernel_id": "28061786"}, {"ref": "a1248654/mean-imputer-xgboost", "kernel_id": "28274990"}, {"ref": "taranmarley/simple-imputer", "kernel_id": "28348694"}, {"ref": "akioonodera/tps-jun2022-lgbm-optuna", "kernel_id": "28174202"}, {"ref": "rohandawar/tabular-playground-jun-2022-experiment-2", "kernel_id": "28116729"}, {"ref": "rohandawar/tabular-playground-jun-2022-experiment-3", "kernel_id": "28124447"}, {"ref": "bannourchaker/exclusive-eda-lgbm-shap-miss-data", "kernel_id": "28066484"}, {"ref": "bannourchaker/exclusive-eda-best-techniques-deal-with-miss-data", "kernel_id": "28065163"}, {"ref": "hanselliott/tabularjun2022-eda-simplerulebaseline", "kernel_id": "28105128"}, {"ref": "muki2003/june-2022-playground-deep-learning-regression", "kernel_id": "28041311"}, {"ref": "youseefmoemen/generative-adversarial-imputation-network-gain", "kernel_id": "28371853"}, {"ref": "pawebiegun/tabular-playground", "kernel_id": "28278172"}, {"ref": "ritesh065/get-started-with-mean-imputation", "kernel_id": "28745356"}, {"ref": "prosenjit123/pg-series-jun2022", "kernel_id": "28842158"}, {"ref": "pythonkumar/imputers-top-6-knn-mean-constant", "kernel_id": "28915840"}, {"ref": "jadelsoufi/bayesian-optimization-xgboost-lgbm", "kernel_id": "28026133"}, {"ref": "abhishekrathi09/tubular-june-iterative-imputer-xgboost", "kernel_id": "28093329"}, {"ref": "abhishekrathi09/missing-value-imputation-with-ppca", "kernel_id": "28118469"}, {"ref": "mohammadhossein77/june-tps-histgradientboostingregressor", "kernel_id": "28070023"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "dhirajkumar612/iterative-imputer-linear-regression", "kernel_id": "28114839"}, {"ref": "edrickkesuma/np-random-top-public-notebook", "kernel_id": "28057337"}, {"ref": "wasshoiwasshoi/tps-2022-jun-try-2-cycle-imputation-by-lightgbm", "kernel_id": "28027623"}, {"ref": "junekitagawa/2022-june-tps", "kernel_id": "28280254"}, {"ref": "arturra/nn-with-four-nans", "kernel_id": "28151205"}, {"ref": "ayushjain001/tabular-playground-june-2022", "kernel_id": "28366753"}, {"ref": "sebastianvangerwen/1st-place-solution-tps-jun-denoising-ae", "kernel_id": "28331569"}, {"ref": "maxboxbox/tps-jun22-linear-keras-model", "kernel_id": "28010191"}, {"ref": "nourhadrich/for-loop-imputation-with-mean", "kernel_id": "28190145"}, {"ref": "shilongzhuang/intro-to-mice-an-imputation-strategy", "kernel_id": "28082241"}, {"ref": "x1akshay/tps-jun-eda", "kernel_id": "28045538"}, {"ref": "rizqyad/a-million-imputation", "kernel_id": "28124416"}, {"ref": "ltrahul/tabular-playground-jun-2022-simple-explanation", "kernel_id": "28247050"}, {"ref": "marctris/tps-2022-msp", "kernel_id": "28155457"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "majkaf/tbs-jun-2022-imputation", "kernel_id": "29144445"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "bhatnagardaksh/gradient-descent-from-scratch", "kernel_id": "30714002"}, {"ref": "bhatnagardaksh/introduction-to-regular-expressions", "kernel_id": "42224723"}, {"ref": "juzmafawwazarosadi/generative-adversarial-imputation-network-gain", "kernel_id": "81117787"}]}
{"competition_id": "33107", "kernels": [{"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "javigallego/massive-pca-outlier-detection-tutorial", "kernel_id": "26307993"}, {"ref": "alvations/clustering-tabular-playground-series", "kernel_id": "28417007"}, {"ref": "muneeb2405/sklearn-clusteing", "kernel_id": "28774404"}, {"ref": "adaubas/tps-jul22-lgbm-extratree-qda-soft-voting", "kernel_id": "28679885"}, {"ref": "stautxie/tp-july-2022-eda-baseline-lb-0-585", "kernel_id": "28678265"}, {"ref": "vwoodnz/improving-meat-for-ensemble-voting", "kernel_id": "28791137"}, {"ref": "vwoodnz/n-clusters-go-brrrrr", "kernel_id": "28925528"}, {"ref": "vwoodnz/better-voting", "kernel_id": "28853698"}, {"ref": "hasangam/scikit-learn-kmeans-clustering-baseline", "kernel_id": "28401382"}, {"ref": "hasangam/training-denoise-autoencoder-starter", "kernel_id": "28456721"}, {"ref": "hasangam/inference-denoise-autoencoder-starter", "kernel_id": "28457990"}, {"ref": "athews/tpsjuly22-knn-gmm-bgmm-pca-boosting-nn", "kernel_id": "28440192"}, {"ref": "nagsdata/ensemble-clustering-algorithms-tsne-visualization", "kernel_id": "28569240"}, {"ref": "nagsdata/gaussianmixture-july", "kernel_id": "28457338"}, {"ref": "nagsdata/k-prototypes-fails-clst-with-mixed-data-types", "kernel_id": "28644122"}, {"ref": "cv13j0/tps-jun22-unsupervised-clustering-with-keras", "kernel_id": "28394039"}, {"ref": "cv13j0/tps-jun22-unsupervised-clustering-gbdt", "kernel_id": "28789564"}, {"ref": "cv13j0/tps-jun22-pycaret-unsupervised-clustering", "kernel_id": "28816908"}, {"ref": "ijcrook/graph-based-ensemble-clustering", "kernel_id": "28829406"}, {"ref": "nitishraj/tps-july-2022-initial-experiments", "kernel_id": "28393247"}, {"ref": "nitishraj/pseudo-label-soft-voting-with-sklearn", "kernel_id": "28804332"}, {"ref": "morganmcg/a-pandas-profile-online-in-the-cloud", "kernel_id": "28635771"}, {"ref": "morganmcg/t-sne-pca-umap-exploration", "kernel_id": "28389883"}, {"ref": "maulberto3/tps-jul-2022-quick-umap-now-in-3d", "kernel_id": "28661562"}, {"ref": "nknarendra7/gmm-clustering-for-july-tps", "kernel_id": "28792298"}, {"ref": "eduus710/tps-jul-22-metrics-vs-lb", "kernel_id": "28513494"}, {"ref": "eduus710/getting-cluster-ensembles-to-work", "kernel_id": "28556127"}, {"ref": "eduus710/tps-jul-22-cluster-ensembling-via-svd", "kernel_id": "28581875"}, {"ref": "eduus710/tps-jul-22-autoencoder-investigation-and-fail", "kernel_id": "28783200"}, {"ref": "eduus710/tps-jul-22-cluster-ensembles", "kernel_id": "28641343"}, {"ref": "waldemar/kmean-4-7-sequential-feature-selector", "kernel_id": "28703601"}, {"ref": "waldemar/gm-4-7-sequential-feature-selector", "kernel_id": "28703834"}, {"ref": "waldemar/advanced-umap-with-multiple-components", "kernel_id": "28747065"}, {"ref": "waldemar/kmean-feature-selection-submission", "kernel_id": "28910385"}, {"ref": "waldemar/pca-umap-kmean-gmm", "kernel_id": "28400775"}, {"ref": "plarmuseau/disease-symptom-detection", "kernel_id": "28797876"}, {"ref": "plarmuseau/bruteforce-clustering", "kernel_id": "28460447"}, {"ref": "andrewnuk/eda-basics", "kernel_id": "28621268"}, {"ref": "docxian/tps-2022-july-eda-dataexplorer-starter", "kernel_id": "28391411"}, {"ref": "zuari1993/keeping-it-simple", "kernel_id": "28604720"}, {"ref": "ilyaryabov/funny-eda", "kernel_id": "28394899"}, {"ref": "slythe/clustering-techniques-tps-jul-22", "kernel_id": "28633213"}, {"ref": "ollibolli/gaussian-mixture-models-cheatsheet", "kernel_id": "28252360"}, {"ref": "nikhilkhetan/setting-up-evaluation-metrics", "kernel_id": "28397485"}, {"ref": "soheiltehranipour/jul-22-competition-with-pycaret", "kernel_id": "28535930"}, {"ref": "leodaniel/k-means-clearly-explained", "kernel_id": "28490090"}, {"ref": "vermaavi/tps-july-22-clustering", "kernel_id": "28956902"}, {"ref": "pinstripezebra/gaussian-clustering", "kernel_id": "28538153"}, {"ref": "harsh2040/intro-to-clustering", "kernel_id": "28432432"}, {"ref": "jtbontinck/summer-holidays-out-of-office-notebook-0-55933", "kernel_id": "28631968"}, {"ref": "akmalmir/clustering-with-pycaret-for-beginners-tps-07-2022", "kernel_id": "28398501"}, {"ref": "trevorfrench/tabular-playground-series-july-2022", "kernel_id": "28707866"}, {"ref": "jankrol21/tps-jul-2022-unifom-cluster-size-postprocessing", "kernel_id": "28927500"}, {"ref": "harshul23/tps-july22-eda-clustering-opt-k-0-54", "kernel_id": "28422609"}, {"ref": "lucifergd192/clustering-is-all-you-need-kmeans-gauss-mix", "kernel_id": "28390511"}, {"ref": "abhinavkum/unsupervised-learning-beginner", "kernel_id": "28936406"}, {"ref": "firuzjuraev/tps-july-2022-clear-clustering-roadmap", "kernel_id": "28601622"}, {"ref": "stpeteishii/tps0722-histplot", "kernel_id": "28431272"}, {"ref": "ricopue/tps-jul22-establishing-parity-between-cluster", "kernel_id": "28738840"}, {"ref": "ricopue/tps-jul22-clusters-and-lgb", "kernel_id": "28666423"}, {"ref": "mpwolke/biokit-viz-tps-july-2022", "kernel_id": "28392098"}, {"ref": "surendra01/kmeans-dbscan-gmm", "kernel_id": "28697848"}, {"ref": "sdysch/tps-july-2022-gaussian-mixture", "kernel_id": "28596191"}, {"ref": "sdysch/tps-july-2022", "kernel_id": "28432510"}, {"ref": "zhangcheche/nothing-to-be-revealed-tps-7-2022", "kernel_id": "28476240"}, {"ref": "naveenkonam1985/tps-july-22-clustering-with-bayesiangmm", "kernel_id": "28391291"}, {"ref": "naiborhujosua/validate-the-clusters-using-silhouette-score", "kernel_id": "28527077"}, {"ref": "skywolfmo/simple-clustering-0-6", "kernel_id": "28516025"}, {"ref": "arunpurakkatt/eda-pca-kmeans-clustering", "kernel_id": "28447512"}, {"ref": "arunpurakkatt/pca-bayesian-gaussian-mixture-6-clusters", "kernel_id": "28507298"}, {"ref": "nicobarea/mclust-dropping-variables-with-pca-0-47678", "kernel_id": "28762126"}, {"ref": "josmyrose/football-series", "kernel_id": "28473312"}, {"ref": "datastrophy/tps7-22-gussian-mixture-pca-1d-and-2d-viz", "kernel_id": "28391108"}, {"ref": "taranmarley/pca-and-kmeans", "kernel_id": "28474808"}, {"ref": "taranmarley/pycaret-clustering", "kernel_id": "28496210"}, {"ref": "varundurvasula/tps-clustering", "kernel_id": "28918296"}, {"ref": "antonellomartiello/tps-july22-eda-and-fuzzy-kmeans", "kernel_id": "28401711"}, {"ref": "joshuaswords/how-to-cluster-on-mass-tps-jul-2022", "kernel_id": "28503480"}, {"ref": "akioonodera/tps-jul2022", "kernel_id": "28396678"}, {"ref": "subhajitbag/tsne-elbow-method-gaussian-mixtures", "kernel_id": "28566467"}, {"ref": "sanjaylalwani/tps-jul22-bgmm-clustering", "kernel_id": "28402812"}, {"ref": "bannourchaker/auto-eda-part2", "kernel_id": "28393790"}, {"ref": "bannourchaker/auto-eda-part1", "kernel_id": "28393342"}, {"ref": "bannourchaker/kmeans-general-elbow-silhouette-score", "kernel_id": "28434272"}, {"ref": "bannourchaker/exlusive-deep-eda-part3", "kernel_id": "28431740"}, {"ref": "mmojz642/tps-jul22-preprocess-issues", "kernel_id": "28891116"}, {"ref": "taos2000/clustering-pca-kmeans-bayes-auto-encoder", "kernel_id": "28932679"}, {"ref": "aliabdin1/tps-jul-2022-some-clustering-metrics", "kernel_id": "28519308"}, {"ref": "cabaxiom/tps-jul-22-gmm-baseline", "kernel_id": "28390858"}, {"ref": "buraaldal/bgmm-baseline-fuzzy-c-means-k-means", "kernel_id": "28736113"}, {"ref": "akashmathur2212/the-ultimate-guide-to-unsupervised-ml", "kernel_id": "28636911"}, {"ref": "muki2003/tps-k-mean-clustering-tensorflow-dnn", "kernel_id": "28395449"}, {"ref": "ayushv322/tabular-playground-july-eda-gmm-pca", "kernel_id": "28403682"}, {"ref": "tracyporter/jul-22-unsupervised-bayesiangaussian", "kernel_id": "28441732"}, {"ref": "tracyporter/jul-22-unsupervised-kmeans", "kernel_id": "28434484"}, {"ref": "cinciadedadoscomr/kmeans-with-cuda-ml-rapids", "kernel_id": "28468403"}, {"ref": "desalegngeb/tpsjuly2022-all-you-need-is-knn", "kernel_id": "28392938"}, {"ref": "waizaidoc/playground-july-2022", "kernel_id": "28843145"}, {"ref": "dextermojo/eda-with-kmeans-and-famd", "kernel_id": "28445114"}, {"ref": "mhslearner/tps-jul-2022-cluster-analysis", "kernel_id": "28407124"}, {"ref": "bogdandoicin/brute-force-clustering-improved", "kernel_id": "28593113"}, {"ref": "bahadoreizadkhah/pca-gaussian-mixture", "kernel_id": "28518933"}, {"ref": "yus002/tps-07-k-means", "kernel_id": "28427407"}, {"ref": "mohamedmagdy11/tps-jul22-eda-kmeans-gmm-modeling", "kernel_id": "28399567"}, {"ref": "ryanbarretto/clustering-baseline", "kernel_id": "28389699"}, {"ref": "pourchot/simple-soft-voting", "kernel_id": "28610675"}, {"ref": "pourchot/optimization-unsupervised-and-supervised-learning", "kernel_id": "28819299"}, {"ref": "pythonkumar/clustering-k-means-dbscan-gmm-bgmm-dendogram-viz", "kernel_id": "28891170"}, {"ref": "kartushovdanil/tps-jul-22-advanced-2-sol", "kernel_id": "28410417"}, {"ref": "abdulaziz04/powertransformer-bgm", "kernel_id": "28434684"}, {"ref": "bibekupadhyaya/eda-pca-k-means", "kernel_id": "28470670"}, {"ref": "mohammadhossein77/tps-jul-pca-k-means", "kernel_id": "28745381"}, {"ref": "santosh1974/play-ground-second", "kernel_id": "28589474"}, {"ref": "santosh1974/play-ground-july-first", "kernel_id": "28580403"}, {"ref": "pragya1110/tps-july22-unsupervised-clustering-method", "kernel_id": "28624360"}, {"ref": "ashaykatrojwar/eda-pca-bayesian-gaussian-mixture", "kernel_id": "28444410"}, {"ref": "ashaykatrojwar/feature-selection-iqr-outliers-eda", "kernel_id": "28508569"}, {"ref": "tapendrakumar09/baysian-mixture-and-classifier", "kernel_id": "28487484"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "jillanisofttech/tps-jul-2022-unsupervised-and-supervised-learning", "kernel_id": "28901001"}, {"ref": "hugolearn/tps-trying", "kernel_id": "28798520"}, {"ref": "wasshoiwasshoi/tps-2022-july-gmm-clustering-with-lightgbm", "kernel_id": "28420182"}, {"ref": "wasshoiwasshoi/tps-2022-july-quick-eda-and-k-means-baseline", "kernel_id": "28401467"}, {"ref": "mehrdadsadeghi/tps-july2022-scaling-feature-selection", "kernel_id": "28444859"}, {"ref": "akanshakhandelwal08/tps-july-22", "kernel_id": "28442138"}, {"ref": "nainapandey96/clustering-with-kmeans-and-gmm", "kernel_id": "28408721"}, {"ref": "codersaurabh/clustering-algorithms", "kernel_id": "28397189"}, {"ref": "karlpetz/clustering-eda-model", "kernel_id": "28453153"}, {"ref": "mahendragundeti/tps22jul-eda", "kernel_id": "28403226"}, {"ref": "m1y7k8/tps-jul-2022-clustering", "kernel_id": "28604161"}, {"ref": "ambrosm/tpsjul22-gaussian-mixture-cluster-analysis", "kernel_id": "28418129"}, {"ref": "ambrosm/tpsjul22-visually-separating-the-clusters", "kernel_id": "28960380"}, {"ref": "jiprud/tps-jul-22", "kernel_id": "28893392"}, {"ref": "barbagrande007/bbg007-bgm", "kernel_id": "28602347"}, {"ref": "stelioskaralis/tps-july-2022-clustering", "kernel_id": "28644874"}, {"ref": "abdulghaffaransari/pca-and-gmm-combo", "kernel_id": "28847809"}, {"ref": "makotouchiyama/tps-202207-robustscaler-code", "kernel_id": "28839350"}, {"ref": "hosseinbehjat/bgmm-bgmmc-tpsjul22", "kernel_id": "28477782"}, {"ref": "ravi20076/tpsjul22-eda-baseline", "kernel_id": "28445384"}, {"ref": "lazer999/tps-pca-k-means-simplified-4-everyone", "kernel_id": "28527086"}, {"ref": "leandrodestefani/tps-jul-22-gaussianmixture-gbm", "kernel_id": "28909818"}, {"ref": "sfktrkl/tps-july-2022", "kernel_id": "28408892"}, {"ref": "karlcini/bayesiangmmclassifier", "kernel_id": "28983282"}, {"ref": "samuelcortinhas/poisson-hybrid-mixture-models", "kernel_id": "28787513"}, {"ref": "samuelcortinhas/gaussian-mixture-model-gmm-from-the-ground-up", "kernel_id": "28744761"}, {"ref": "samuelcortinhas/tps-july-22-unsupervised-clustering", "kernel_id": "28453825"}, {"ref": "gopalgoyal612002/tps-july-simple-pca-kmeans", "kernel_id": "28498403"}, {"ref": "gopalgoyal612002/tps-july-gaussian-mixture-and-pca", "kernel_id": "28525230"}, {"ref": "imnaho/choose-colums-bayesiangaussianmixture", "kernel_id": "28906436"}, {"ref": "ohba0321/tps2207-powertransformer-gmm", "kernel_id": "28526014"}, {"ref": "ohba0321/tps2207-eda-standardscaler-k-means-clusters-6", "kernel_id": "28399249"}, {"ref": "nourhadrich/tab-play-with-k-means-pca-t-sne-beginner", "kernel_id": "28835185"}, {"ref": "mayureshnm/tps-july-22-with-mini-batch-k-means-clustering", "kernel_id": "28403290"}, {"ref": "paulomarquies/tps-jul-22-pca-and-bgm", "kernel_id": "28703085"}, {"ref": "ehekatlact/tps2207-ultra-fast-ensemble", "kernel_id": "28480228"}, {"ref": "ehekatlact/tps2207-umap-visualize", "kernel_id": "28417441"}, {"ref": "ehekatlact/tps2207-remove-thin-density-points", "kernel_id": "28418102"}, {"ref": "mustafakeser4/tps-july-eda-k-means-pca", "kernel_id": "28391204"}, {"ref": "harshghadiya/tps-july-2022-clustering-gmm-and-bgmm", "kernel_id": "28658728"}, {"ref": "melonpasta/tps-jul-2022-pca-eda-trying", "kernel_id": "28501589"}, {"ref": "abdulravoofshaik/clustering-using-denoising-autoencoder-tutorial", "kernel_id": "28393045"}, {"ref": "javigallego/outliers-eda-clustering-tutorial", "kernel_id": "28425218"}, {"ref": "milanvaddoriya/tabular-playground-july", "kernel_id": "28499724"}, {"ref": "biswadata/unsupervised-learning-clustering", "kernel_id": "28512597"}, {"ref": "cbeaud/tps-jul-22-clustering-task", "kernel_id": "28391679"}, {"ref": "shariful07/tps-july-2022-clustering", "kernel_id": "28460661"}, {"ref": "siddhantbhagat93/scaling-method", "kernel_id": "28646181"}, {"ref": "saeidghomi/tabular-playground-kmeans", "kernel_id": "28536325"}, {"ref": "hadisanei/tabular-playground-series-jul-2022", "kernel_id": "28536612"}, {"ref": "ltrahul/tabular-playground-series-july-2022-solution", "kernel_id": "28404587"}, {"ref": "ltrahul/tps-july-02", "kernel_id": "28981159"}, {"ref": "hirotokitamur/hk-tabular-playground-series-jul-2022", "kernel_id": "28667840"}, {"ref": "thedevastator/how-to-ensemble-clustering-algorithms-updated", "kernel_id": "28458123"}, {"ref": "thedevastator/bruteforce-clustering", "kernel_id": "28392131"}, {"ref": "thedevastator/brute-forcing-k", "kernel_id": "28391075"}, {"ref": "thedevastator/the-fine-art-of-fine-tuning", "kernel_id": "28835295"}, {"ref": "renadope/tpsjuly22-cluster-analysis-pca-k-means-gmm-bgmm", "kernel_id": "28756390"}, {"ref": "rudyschn/rudy-s-tps-july-2022", "kernel_id": "28664426"}, {"ref": "tookiprotvic/kiptoo-pca", "kernel_id": "28981605"}, {"ref": "andrewsale/tps-jul22-vbgm", "kernel_id": "28909123"}, {"ref": "grandlee/basic-data-manipulation", "kernel_id": "28618647"}, {"ref": "grandlee/powertransformer-bgmm-clustering", "kernel_id": "28821069"}, {"ref": "grandlee/machine-learning-introduction", "kernel_id": "28664824"}, {"ref": "harrylhw/notebookcf7a4b47c6", "kernel_id": "28955690"}, {"ref": "wxilson/k-means-bgmm", "kernel_id": "28826498"}, {"ref": "regiusherder/kmeans-clustering", "kernel_id": "28928455"}, {"ref": "cv13j0/tps-jun22-iterative-clustering", "kernel_id": "29186998"}, {"ref": "moghazy/the-fine-art-of-fine-tuning", "kernel_id": "29183508"}, {"ref": "yudumpacin/determinecontrolstates-v2", "kernel_id": "29205693"}, {"ref": "scchuy/tab202207-cluster-soft-vote", "kernel_id": "29111683"}, {"ref": "ymatioun/tps22jul-custom-em", "kernel_id": "29176294"}, {"ref": "ymatioun/tps-722-integer-model", "kernel_id": "29021215"}, {"ref": "pinstripezebra/cluster-ensembling", "kernel_id": "29150778"}, {"ref": "datauma/cluster-analysis", "kernel_id": "29174680"}, {"ref": "mehrankazeminia/2-3-tps22jul-pseudo-supervised-clustering", "kernel_id": "29041250"}, {"ref": "mehrankazeminia/1-3-tps22jul-pseudo-supervised-clustering", "kernel_id": "29040018"}, {"ref": "mehrankazeminia/3-3-tps22jul-clustering-ensembling", "kernel_id": "29076369"}, {"ref": "evalieskovsk/tps-jul-22-clustering", "kernel_id": "29510154"}, {"ref": "cabaxiom/tps-jul-22-bgmm-semi-supervised", "kernel_id": "29020383"}, {"ref": "youseefmoemen/tps-july-lgb-feature-selection-and-data-sampling", "kernel_id": "29114069"}, {"ref": "ocanaydin/basic-clustering", "kernel_id": "29184304"}, {"ref": "prashantpathak244/july-playground", "kernel_id": "29013412"}, {"ref": "umangsavani/tps-2022jul-eda-outlier-bgmm", "kernel_id": "29172174"}, {"ref": "umangsavani/tps-jul-2022-bgmm-clustering-classification", "kernel_id": "29236779"}, {"ref": "sanalps/unsupervised-feature-importances", "kernel_id": "29139262"}, {"ref": "michaelmortenson/help-first-time-pca-here", "kernel_id": "29103810"}, {"ref": "darnishmarshal/tps-july-2022-ensemble-mixture", "kernel_id": "29162200"}, {"ref": "sanaaburrows/tps-2022jul-voting-classifier", "kernel_id": "29164814"}, {"ref": "shaequeen/tps-july-22-gaussian-mixture", "kernel_id": "29179976"}, {"ref": "tariqchhussain/base-tps-july-2022", "kernel_id": "29231812"}, {"ref": "ashaykatrojwar/reconsidering-features-for-0-81723-ari-on-lb", "kernel_id": "29017363"}, {"ref": "digvijaysinhgohil/auto-eda-with-dataprep-and-bgm-model", "kernel_id": "29086993"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "yasirhussain1987/clustering-using-bgm-model-and-xgb-cassifier", "kernel_id": "29124966"}, {"ref": "ahana09/july-tps", "kernel_id": "29106520"}, {"ref": "srivatsanse0320054/notebookdff489addc", "kernel_id": "29058999"}, {"ref": "sifrun/gaussian-mixture-model-is-all-you-need-0-7355", "kernel_id": "29025785"}, {"ref": "makotouchiyama/english-bgmc-fs-tps-202207-rs-kmeans", "kernel_id": "29121611"}, {"ref": "makotouchiyama/english-fs-tps-202207-rs-bgm-kmeans", "kernel_id": "29043421"}, {"ref": "makotouchiyama/english-tps-202207-rs-bgm-kmeans", "kernel_id": "29037043"}, {"ref": "dername/gaussianmixture-bayesiangaussianmixture-explained", "kernel_id": "29074381"}, {"ref": "dername/tps-jul-22-eda", "kernel_id": "29053489"}, {"ref": "rm1000/improved-clustering-and-ensembling", "kernel_id": "29226895"}, {"ref": "itspavansatish/bayesiangaussianmixture", "kernel_id": "29185876"}, {"ref": "djustin/tps22jul-clustering-ensembling-improved", "kernel_id": "29198493"}, {"ref": "usamabalochhh/eda-full-logistic-regression-explanation", "kernel_id": "29356281"}, {"ref": "pranavkannepalli/kmeansclustering-manual", "kernel_id": "29259758"}, {"ref": "troooonnn/tps-july-2022", "kernel_id": "29198582"}, {"ref": "garywsg/powertransformer-bgmm-clustering", "kernel_id": "29156660"}, {"ref": "rishabhkmr/tps-jul22-clustering-ensembling", "kernel_id": "29158166"}, {"ref": "adibanaaz/playground-july2022", "kernel_id": "29531099"}, {"ref": "sumit46656/03-tps-july-2022-explained-simply", "kernel_id": "29036672"}, {"ref": "majkaf/tbs-jul-2022-clustering", "kernel_id": "29154627"}, {"ref": "grandlee/bgmm-classifier", "kernel_id": "29144375"}, {"ref": "grandlee/tps-jul-2022-clustering", "kernel_id": "29180005"}, {"ref": "tinfufans/jul2022", "kernel_id": "29234192"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "shrefmohsen/notebook661240397b", "kernel_id": "30579538"}, {"ref": "kaustubhkapare/clustering-using-k-means-after-performing-pca", "kernel_id": "31879194"}, {"ref": "toedtlifhsg/clustering-anwendung", "kernel_id": "33054585"}, {"ref": "jewerly94/clustering-challenge", "kernel_id": "33222626"}, {"ref": "pranaavreddy/20bce1030-k-means-clustering", "kernel_id": "35780887"}, {"ref": "jonathantarun/20bce1778-k-means-clustering", "kernel_id": "35778817"}, {"ref": "alialthiab98/tabular-playground-series-jul-2022", "kernel_id": "37271912"}, {"ref": "karnarajrathod10/karnaraj-rathod-067", "kernel_id": "37316101"}, {"ref": "tymonbot/tabular-playground-kmeans", "kernel_id": "39801607"}, {"ref": "edmundzhang/k-means-clustering-baseline", "kernel_id": "40220851"}, {"ref": "tracyporter/jul-22-unsupervised-kmeans-elbow", "kernel_id": "41237910"}, {"ref": "tracyporter/jul-22-unsupervised-minibatch-kmeans-elbow", "kernel_id": "41242259"}, {"ref": "tracyporter/jul-22-unsupervised-gaussian", "kernel_id": "41242475"}, {"ref": "san2deep/beginner-code-kmeans", "kernel_id": "41344868"}, {"ref": "sgjustino/clustering-project", "kernel_id": "45322989"}, {"ref": "dulei0201/notebookb085005936", "kernel_id": "46545589"}, {"ref": "saraaldwairy/dwairy-clustering", "kernel_id": "47800710"}, {"ref": "nisrinazzam/clustering", "kernel_id": "48193401"}, {"ref": "abelapriliani/gaussian", "kernel_id": "50271907"}, {"ref": "abelapriliani/tabular-playground-series", "kernel_id": "50372686"}, {"ref": "shivambhardwaj6969/23-12-2023gm", "kernel_id": "50784362"}, {"ref": "shivambhardwaj6969/tabular-playground-series", "kernel_id": "50784235"}, {"ref": "riyaraizada/notebook52ef74b017", "kernel_id": "51885004"}, {"ref": "akankshasolanki123/tabular-playground-series-jul-2022", "kernel_id": "51931435"}, {"ref": "aadityavardhan/clustering-pycaret-gmm", "kernel_id": "52170556"}, {"ref": "aaradhyabadal/uml-control-state-unsupervised-clustering", "kernel_id": "55219907"}, {"ref": "dattran2801/tlu-code-eda-pca-bayesian-gaussian-mixture", "kernel_id": "55437407"}, {"ref": "maiphngcao/eda-pca-bayesian-gaussian-mixture", "kernel_id": "56447516"}, {"ref": "mkagglec/apply-pca", "kernel_id": "66771239"}, {"ref": "zeeshankhan0503/using-kmeans-kneelocator", "kernel_id": "67221230"}, {"ref": "brpsycho/different-clustering-techniques-and-algorithms", "kernel_id": "69268330"}, {"ref": "winfredmumbingure/different-clustering-techniques-and-algorithms", "kernel_id": "79273521"}, {"ref": "alvinondieki045/different-clustering-techniques-and-algorithms", "kernel_id": "79274280"}, {"ref": "sayedsalem/eda-visualization-bayesiangaussianmixture-used", "kernel_id": "81197981"}, {"ref": "gopalakrishnanamsha/brute-force-algorithm-with-clusturing", "kernel_id": "83017758"}, {"ref": "enesyama/unsupervisedcustumer-clustering", "kernel_id": "109138141"}, {"ref": "furkanzmez/unsupervised-clustering-eda", "kernel_id": "124930656"}, {"ref": "alinakharisova/unsupervised-clustering", "kernel_id": "125194922"}]}
{"competition_id": "33108", "kernels": [{"ref": "azminetoushikwasi/advanced-feature-engineering-for-classification", "kernel_id": "27051262"}, {"ref": "alexryzhkov/tps-aug-22-lightautoml-starter", "kernel_id": "29241342"}, {"ref": "crained/preprocessing-eda-tps-aug22", "kernel_id": "29577893"}, {"ref": "crained/autogluon-automl-and-tps-0822", "kernel_id": "29723808"}, {"ref": "crained/autogluon-automl-tuned-tps0822", "kernel_id": "29786300"}, {"ref": "sophieb/tps-aug-22-model-submission", "kernel_id": "29640663"}, {"ref": "sophieb/tps-aug-22-eda-baseline-with-pipeline", "kernel_id": "29322479"}, {"ref": "jamesmcguigan/tps-pycaret3-automl-classification-aug-2022", "kernel_id": "29438596"}, {"ref": "lgregory/tps-aug-22-threshold-random-improved-ab", "kernel_id": "29780586"}, {"ref": "lgregory/optimize-score-7cf675", "kernel_id": "29827375"}, {"ref": "lgregory/optimize-score", "kernel_id": "29809072"}, {"ref": "lgregory/tps-aug-22-guessing-threshold", "kernel_id": "29692312"}, {"ref": "valentindefour/tps-august-2022-h2o-vs-manual-ml", "kernel_id": "29786028"}, {"ref": "jinbao/tps-jinbao-lr", "kernel_id": "29354918"}, {"ref": "athews/tps-aug-22-tensorflow-and-lightgbm-starter", "kernel_id": "29332059"}, {"ref": "scgupta/tps-2022-aug-eda-baseline-logistic-regression", "kernel_id": "29242939"}, {"ref": "tilii7/any-meaning-behind-missing-data", "kernel_id": "29929544"}, {"ref": "tilii7/is-there-any-signal-in-the-data-sadly-not-much", "kernel_id": "29656081"}, {"ref": "tilii7/making-a-simulated-dataset-similar-to-tps-aug-2022", "kernel_id": "29658258"}, {"ref": "tilii7/does-lasso-regression-work-here-you-betcha", "kernel_id": "29654287"}, {"ref": "tilii7/score-0-5846-with-only-two-features", "kernel_id": "29693592"}, {"ref": "tilii7/removing-colinearity-0-5878-with-5-features", "kernel_id": "29745231"}, {"ref": "cv13j0/tps-aug22-binary-classification", "kernel_id": "29235381"}, {"ref": "cv13j0/tps-aug22-auto-ml-using-pycaret-blend", "kernel_id": "29409575"}, {"ref": "cv13j0/tps-aug22-keras-binary-classification", "kernel_id": "29372476"}, {"ref": "rsesha/lazy-sulo-aug-tps-score-0-5878-in-5-lines", "kernel_id": "29771011"}, {"ref": "toshimelonhead/tps-august-2022", "kernel_id": "29767988"}, {"ref": "krivenkozz/advanced-baseline-simple-code", "kernel_id": "29819880"}, {"ref": "nknarendra7/uni-variate-analysis-tps-aug", "kernel_id": "29591508"}, {"ref": "nknarendra7/deep-learning-approach-on-regressions", "kernel_id": "29306702"}, {"ref": "rogeriodelfim/tps-agu-2022-01-eda-baseline", "kernel_id": "29263360"}, {"ref": "andrew44456/tabularpg-aug-challenge-rfr-randomsearchcv", "kernel_id": "29888603"}, {"ref": "nnjjpp/encoding-the-attributes-tps-august-2022", "kernel_id": "29950086"}, {"ref": "nnjjpp/adversarial-validation-detecting-data-drift", "kernel_id": "29290267"}, {"ref": "nnjjpp/eda-and-baseline-model-tps-aug-2022", "kernel_id": "29234796"}, {"ref": "nnjjpp/product-composition-tps-aug-2022", "kernel_id": "29550451"}, {"ref": "canonicalized/basic-logisticregression-model", "kernel_id": "29560665"}, {"ref": "kuntzej/tps-aug-2022-relationship-btwn-products", "kernel_id": "29797215"}, {"ref": "paultimothymooney/how-to-make-a-submission-to-august-tps-using-tf-df", "kernel_id": "29249161"}, {"ref": "docxian/tps-2022-aug-glm-starter-r", "kernel_id": "29256886"}, {"ref": "qayyum453/tabular-playground-series-prediction", "kernel_id": "29707200"}, {"ref": "datascientistsohail/using-pipelines-with-rfclassifier-tps-aug2022", "kernel_id": "29675634"}, {"ref": "datascientistsohail/standardscalar-tps-aug202", "kernel_id": "29676641"}, {"ref": "datascientistsohail/tpgs-aug2022", "kernel_id": "29546969"}, {"ref": "pavankumarmantha/tps-aug-2022-100-accuracy", "kernel_id": "29501314"}, {"ref": "shanu1988/notebook4fd3c8eed2", "kernel_id": "29726559"}, {"ref": "slythe/tps-aug-22-first-look", "kernel_id": "29279450"}, {"ref": "slythe/tps-aug-22-model-testing", "kernel_id": "29604120"}, {"ref": "slythe/tps-aug-22-myensemble", "kernel_id": "29681776"}, {"ref": "slythe/svc-log-improve-score-testing", "kernel_id": "29704710"}, {"ref": "slythe/nn-improve-score-testing", "kernel_id": "29881163"}, {"ref": "tawejssh/tps-august-2022-lightgbm", "kernel_id": "29797346"}, {"ref": "delai50/standing-on-the-head-of-giants-more-fe", "kernel_id": "29428795"}, {"ref": "cshweng/tps-2022", "kernel_id": "29772556"}, {"ref": "vishnu123/tps-aug-22-top-2-logistic-regression-cv-fe", "kernel_id": "29933601"}, {"ref": "scchuy/tps-202208-lr-resample-smote", "kernel_id": "29954175"}, {"ref": "scchuy/tps-202208-eda-resample-lgb", "kernel_id": "29857333"}, {"ref": "leodaniel/roc-curve-simply-explained", "kernel_id": "29697191"}, {"ref": "oscarm524/tabular-aug-2022-eda-fe-logistic", "kernel_id": "29345678"}, {"ref": "pdenieves/tps-aug22-eda-with-dython", "kernel_id": "29475950"}, {"ref": "mahmoudhamza/baseline-minimal-features-mlfow-ctgan", "kernel_id": "29785468"}, {"ref": "mahmoudhamza/missing-values-at-random-chi-square-fdr-0-586", "kernel_id": "29921288"}, {"ref": "mahmoudhamza/eda-in-2-lines-of-code-sweetviz", "kernel_id": "29368917"}, {"ref": "maxsarmento/easy-eda-with-pandas-profiling", "kernel_id": "29260106"}, {"ref": "maxsarmento/lb-0-58978-standing-on-the-shoulder-of-giants", "kernel_id": "29401845"}, {"ref": "fourteenflames/tabplayground-aug22", "kernel_id": "29293566"}, {"ref": "infrarosso/tps-aug-2022-eda-lgbm-model-random-search", "kernel_id": "29241777"}, {"ref": "ritvik1909/adversarial-validation-pseudo-labelling", "kernel_id": "29932946"}, {"ref": "juhjoo/0-523-tps-aug-tabnet-baseline", "kernel_id": "29451837"}, {"ref": "juhjoo/0-5902-tps-aug-lightgbm-xgboost-ann-ensemble", "kernel_id": "29355814"}, {"ref": "jagdmir/lgbm-0-579", "kernel_id": "29710461"}, {"ref": "pinstripezebra/eda-baseline-model", "kernel_id": "29275153"}, {"ref": "antonsruberts/tabtransformer-w-pre-training", "kernel_id": "29874438"}, {"ref": "vinayjaingarg28/tps-know-your-data", "kernel_id": "29704287"}, {"ref": "jtbontinck/tpot-experiment-another-out-of-office-notebook", "kernel_id": "29297910"}, {"ref": "jtbontinck/is-it-a-ranker-case", "kernel_id": "29360230"}, {"ref": "medali1992/tps-aug-logistic-regression", "kernel_id": "29824105"}, {"ref": "medali1992/tps-aug-lightgbm", "kernel_id": "29885645"}, {"ref": "medali1992/aug-tps-tabnetclassifier", "kernel_id": "29968432"}, {"ref": "viktorfairuschin/tps-aug-22-av-public-vs-private", "kernel_id": "29842179"}, {"ref": "omarvivas/keras-tps-aug22-v1", "kernel_id": "29416166"}, {"ref": "omarvivas/torch-tps-aug22-v1", "kernel_id": "29414302"}, {"ref": "omarvivas/xgb-tps-aug22-v1", "kernel_id": "29413329"}, {"ref": "omarvivas/lgbm-tps-aug22-v1", "kernel_id": "29413378"}, {"ref": "omarvivas/cb-tps-aug22-v1", "kernel_id": "29413407"}, {"ref": "omarvivas/lm-tps-aug22-v1", "kernel_id": "29585686"}, {"ref": "ayhampar/lightgbm-quickstart", "kernel_id": "29305712"}, {"ref": "stpeteishii/tps0822-histplot", "kernel_id": "29236445"}, {"ref": "aerdem/tps-aug-2022", "kernel_id": "29429623"}, {"ref": "tolgayan/tps-aug22-modular-data-science", "kernel_id": "29632878"}, {"ref": "tolgayan/tps-aug22-nice-to-meet-you", "kernel_id": "29434958"}, {"ref": "kmldas/mljar-starter-aug-2022", "kernel_id": "29401565"}, {"ref": "henilj7/tabular-playground-series-eda-modeling", "kernel_id": "29531336"}, {"ref": "mmellinger66/tps-aug-22-xgb-cat-lgbm-optuna", "kernel_id": "29258370"}, {"ref": "mpwolke/tab-aug-2022-my-failure", "kernel_id": "29235461"}, {"ref": "mpwolke/lazypredict-by-gaurav-s-failure", "kernel_id": "29367495"}, {"ref": "rsizem2/tps-08-22-hyperparameter-search", "kernel_id": "29999406"}, {"ref": "rsizem2/tps-08-22-comparing-models", "kernel_id": "29493688"}, {"ref": "vencerlanz09/0-58624-poisson-regressor-eda-explanation", "kernel_id": "29324728"}, {"ref": "saurav9786/eda-feature-engineering-tps", "kernel_id": "29424799"}, {"ref": "takanashihumbert/tps-aug22-9th-solution", "kernel_id": "29803104"}, {"ref": "takanashihumbert/interesting-patterns-found-in-category-features", "kernel_id": "29240842"}, {"ref": "takanashihumbert/tps-aug22-lb-0-59013", "kernel_id": "29469456"}, {"ref": "sdysch/tps-aug-2022-xgboost", "kernel_id": "29309811"}, {"ref": "sdysch/tps-aug-2022", "kernel_id": "29285402"}, {"ref": "zhangcheche/tps-8-ensemble", "kernel_id": "29291754"}, {"ref": "zhangcheche/tps-8-eda-logisticregression-baseline", "kernel_id": "29239885"}, {"ref": "zhangcheche/tps-8-eda-pytorch-baseline", "kernel_id": "29242214"}, {"ref": "jcaliz/tps-aug22-eda-logisticregression", "kernel_id": "29248031"}, {"ref": "jcaliz/tps-aug22-an-xgb-starter", "kernel_id": "29256487"}, {"ref": "jcaliz/tps-aug22-recap-of-useful-ideas", "kernel_id": "29321776"}, {"ref": "legendsoul/optuna-borutashap-xgboost-pipeline", "kernel_id": "29875266"}, {"ref": "legendsoul/tps-august-22-eda", "kernel_id": "29777969"}, {"ref": "eaterofspirits/missing-value-ananlysis-umap-tsne", "kernel_id": "29550625"}, {"ref": "eaterofspirits/adversarial-validation-train-and-test-data-differ", "kernel_id": "29536740"}, {"ref": "deepak2r/simple-easy-to-understand-baseline", "kernel_id": "29533318"}, {"ref": "yagli18/data-science-london-scikit-learn", "kernel_id": "29760893"}, {"ref": "hasanbasriakcay/tpsaug22-insightful-eda-new-lib-featimp", "kernel_id": "29239024"}, {"ref": "hasanbasriakcay/tpsaug22-custompipeline-logisticregression", "kernel_id": "29351501"}, {"ref": "discotech/tps2022aug-ourauc-is-still-in-the-range-of-noise", "kernel_id": "29736107"}, {"ref": "cerocycle/initial-analysis-of-aug-2022-competition", "kernel_id": "29684028"}, {"ref": "harryho096/eda-fe-gridsearch", "kernel_id": "29267819"}, {"ref": "zlobriy/tps-08-2022-0-58-lb-scores-without-ml", "kernel_id": "29379578"}, {"ref": "ceruttivini/tps-aug-22-exploratory-analysis", "kernel_id": "29255177"}, {"ref": "harisonmwangi/tps-august-2022-adversarial-validation", "kernel_id": "29325106"}, {"ref": "purist1024/a-really-trivial-baseline-12-lines-for-top-50", "kernel_id": "29289188"}, {"ref": "purist1024/eda-detailed-charts-of-per-product-variation", "kernel_id": "29392150"}, {"ref": "purist1024/per-product-code-imputation", "kernel_id": "29341048"}, {"ref": "purist1024/principled-3-vs-2-cv-splitting-on-product-code", "kernel_id": "29367652"}, {"ref": "purist1024/easy-imputation-with-correlation", "kernel_id": "29593846"}, {"ref": "windvoice/tps-aug2022-extratrees-optuna-tuning-example", "kernel_id": "29393995"}, {"ref": "dongjun819/tps-aug-2022", "kernel_id": "29441670"}, {"ref": "igor185/tensorflow-baseline", "kernel_id": "29300465"}, {"ref": "saumitgp/0-58288-linear-reg", "kernel_id": "29376631"}, {"ref": "fortuneuwha/super-soaker-predicting-product-failures", "kernel_id": "29574537"}, {"ref": "filippobuonco95/logistic-regression", "kernel_id": "29812622"}, {"ref": "devsubhash/tps-august-eda-failure-prediction", "kernel_id": "29374801"}, {"ref": "josmyrose/football-august", "kernel_id": "29242636"}, {"ref": "vicsonsam/tps-august-eda", "kernel_id": "29638401"}, {"ref": "arifmeighan/tabularplayground", "kernel_id": "29818641"}, {"ref": "saraswatitiwari/tabular-playground-series-august-2022", "kernel_id": "29960958"}, {"ref": "pmassouf/stacking-starter-score-0-58", "kernel_id": "29342682"}, {"ref": "lucasmorin/tpsaug22-base-lgbm-ensemble", "kernel_id": "29246532"}, {"ref": "rockyyashchauhan/aug-chal-for-top-100-score", "kernel_id": "29303098"}, {"ref": "arootda/tps-aug-22-lda-baseline-using-pycaret-0-588", "kernel_id": "29320147"}, {"ref": "arootda/tps-aug-22-eda-pycaret-baseline", "kernel_id": "29235240"}, {"ref": "jamiedonaldmccann/tabular-aug22-icg-dsc", "kernel_id": "29341355"}, {"ref": "liveforever/tps-nn", "kernel_id": "29864834"}, {"ref": "tleonel/approach-with-smote-logistic-regression", "kernel_id": "29870867"}, {"ref": "tleonel/ml-approach-with-smote-and-ensemble", "kernel_id": "29796056"}, {"ref": "bernhardklinger/tps-august-2022-h2o-automl", "kernel_id": "29919063"}, {"ref": "abdoulayebalde/tps-eda-and-catboost-0-58246-aug-2022d", "kernel_id": "29249177"}, {"ref": "antonellomartiello/tps0822-starting-eda", "kernel_id": "29238447"}, {"ref": "mehrankazeminia/tps22aug-logisticr-lgbm-keras", "kernel_id": "29849969"}, {"ref": "akioonodera/tps-aug22-lgbm-bin-opt", "kernel_id": "29243651"}, {"ref": "robertturro/august-tps-neural-network-model", "kernel_id": "29512493"}, {"ref": "robertturro/tps-august-eda-feature-selection", "kernel_id": "29261360"}, {"ref": "sanjaylalwani/august-22-tps-eda-lgbm", "kernel_id": "29240030"}, {"ref": "guptadikshant/lightgbm-starter-0-5769", "kernel_id": "29253294"}, {"ref": "guptadikshant/tps-aug-22-eda", "kernel_id": "29243275"}, {"ref": "massimot/tpg-22-08-xgboost-oversampling", "kernel_id": "29251182"}, {"ref": "cabaxiom/tps-aug-22-eda-logistic-regression-baseline", "kernel_id": "29241434"}, {"ref": "akashmathur2212/lgbm-xgb-catboost-ensemble-with-hyperopt-tuning", "kernel_id": "29238517"}, {"ref": "amritsarkar/ranked-7th-notebook-tps-august-22", "kernel_id": "29446243"}, {"ref": "amritsarkar/tabular-final-5-08-2022", "kernel_id": "29341008"}, {"ref": "amritsarkar/tabular-playground-blended", "kernel_id": "29294032"}, {"ref": "ahmetekiz/tps-aug-2022-blending", "kernel_id": "29988247"}, {"ref": "ahmetekiz/tps-aug-2022-starter", "kernel_id": "29552353"}, {"ref": "ranjeetshrivastav/tps-aug-plotly-pycaret-lda", "kernel_id": "29240974"}, {"ref": "abdullahsangha/tps-aug-eda-nulls-lgbmimpute-xgboost", "kernel_id": "29552370"}, {"ref": "saotome/use-pycaret-belend", "kernel_id": "29353443"}, {"ref": "saotome/use-pycaret-belend-featureselection", "kernel_id": "29558759"}, {"ref": "saotome/use-pycaret3-earlystopping", "kernel_id": "29564049"}, {"ref": "saotome/tpsaug-use-h20", "kernel_id": "29682758"}, {"ref": "muki2003/eda-randomforest-tps-august-product-failure", "kernel_id": "29249633"}, {"ref": "youseefmoemen/tps-aug-ellipticenvlope-dimreduction", "kernel_id": "29587153"}, {"ref": "matheusclaudino/notebookd79a25c9c0", "kernel_id": "29607442"}, {"ref": "andreasstavrou/tps-august-eda-preprocessing-baseline", "kernel_id": "29692914"}, {"ref": "manojkumars00/tps-aug-2022-complete-begin", "kernel_id": "29247581"}, {"ref": "ashishsiwach/product-testing", "kernel_id": "29893764"}, {"ref": "vibhutikhanduri/notebook3367780aa6", "kernel_id": "29929426"}, {"ref": "sviatoslavsakharov/tps-aug22-first-model", "kernel_id": "29135121"}, {"ref": "kostiantynlavronenko/tps-08-22-simple-mlp", "kernel_id": "29260414"}, {"ref": "kostiantynlavronenko/tps-08-22-logistic-regression", "kernel_id": "29243002"}, {"ref": "gunholee/simple-preprocessing-xgboost-0-57832", "kernel_id": "29707784"}, {"ref": "tracyporter/aug-22-tabular", "kernel_id": "29241114"}, {"ref": "aryanml007/tps-august-2022-logistic-regression-feat-engg", "kernel_id": "29454091"}, {"ref": "taronic/tps-eda-feature-engineering-selection-more", "kernel_id": "29238268"}, {"ref": "reymaster/ensemble-voter-iterative-imputation-0-582", "kernel_id": "29250742"}, {"ref": "reymaster/smote-for-handling-class-imbalance", "kernel_id": "29283798"}, {"ref": "cinciadedadoscomr/oversampling-smote-mlp", "kernel_id": "29406854"}, {"ref": "sanskriti17/useful-eda", "kernel_id": "29538034"}, {"ref": "sanskriti17/randomforest-good-start", "kernel_id": "29569320"}, {"ref": "ahmedashraf123/tabular-playground-series", "kernel_id": "29562229"}, {"ref": "desalegngeb/tps08-logisticregression-qlattice", "kernel_id": "29238889"}, {"ref": "danielkhromov/tps-aug22-eda-modeling", "kernel_id": "29356324"}, {"ref": "seungjoo01/notebookbac32cc065", "kernel_id": "29888669"}, {"ref": "aniketsharma00411/tpsaug22-sample-submission", "kernel_id": "29454650"}, {"ref": "jorgeascencion/tps-2022-aug-neural-net-w-imputer", "kernel_id": "29586591"}, {"ref": "ruslannuriyev/eda-and-modeling", "kernel_id": "29844000"}, {"ref": "vikasrahar007/tps-aug-lgbmclassifier", "kernel_id": "29307478"}, {"ref": "yefimsokolov/logistic-regression-data-analysis-tps-aug-22", "kernel_id": "29767894"}, {"ref": "mhslearner/tps-aug-eda-keras-neural-network", "kernel_id": "29246074"}, {"ref": "bogdandoicin/imputation-ann", "kernel_id": "29752747"}, {"ref": "aklimarimi/cat-lgb", "kernel_id": "29835363"}, {"ref": "kottoz/xgboost-shuffle-split-cv-optuna", "kernel_id": "29688645"}, {"ref": "kelizatoh/aug-2022-tabular-playground-logistic-regression", "kernel_id": "29823173"}, {"ref": "kelizatoh/aug-2022-tabular-playground-decision-tree-2", "kernel_id": "29968090"}, {"ref": "foolishboi/tps-august22-eda", "kernel_id": "29272258"}, {"ref": "foolishboi/baseline-xgboost-submission", "kernel_id": "29242079"}, {"ref": "bahadoreizadkhah/tps-aug22-logistics-regression", "kernel_id": "29610096"}, {"ref": "pietromaldini1/standing-on-the-head-of-giants-nn-optuna", "kernel_id": "29509031"}, {"ref": "cameron858/tps-aug22", "kernel_id": "29255475"}, {"ref": "cameron858/measurement-feature-distributions", "kernel_id": "29544625"}, {"ref": "cameron858/inbalanced-data-sampling-tps-aug22", "kernel_id": "29564344"}, {"ref": "cameron858/feature-testing", "kernel_id": "29558993"}, {"ref": "cameron858/weight-of-evidence-woe", "kernel_id": "29595544"}, {"ref": "chiehjulin/tps-aug-2022", "kernel_id": "29272409"}, {"ref": "alikayed/tps08-logisticregression-and-some-fe-c83a47", "kernel_id": "29392811"}, {"ref": "mohamedmagdy11/tps-aug22-eda-logisticregression-with-optuna", "kernel_id": "29239049"}, {"ref": "pourchot/hunting-for-missing-values", "kernel_id": "29285967"}, {"ref": "pourchot/public-and-private-lb-simulations", "kernel_id": "29549295"}, {"ref": "ahmedaljuaid/eda-prediction", "kernel_id": "29610520"}, {"ref": "kartushovdanil/tps-aug-22-advanced-eda-modeling", "kernel_id": "29241257"}, {"ref": "mregrt/automl-predict", "kernel_id": "29531728"}, {"ref": "manthanx/tpsaug22-eda-logregression-tunegridsearchcv", "kernel_id": "29352885"}, {"ref": "youssefsayed/tabular-playground", "kernel_id": "29674018"}, {"ref": "pasuvulasaikiran/tps-aug-2022-failure-prediction", "kernel_id": "29568607"}, {"ref": "pasuvulasaikiran/tps-aug-2022-logistic-regg", "kernel_id": "29605631"}, {"ref": "abdulaziz04/basic-flow-with-logistic-regression", "kernel_id": "29307505"}, {"ref": "sejoongkim/pytorch-libauc-neural-network", "kernel_id": "29748593"}, {"ref": "sejoongkim/over-sampling-using-smote-variants", "kernel_id": "29719253"}, {"ref": "sejoongkim/tps-aug2022-filling-out-missing-values", "kernel_id": "29650001"}, {"ref": "thierryneusius/tps-202208-knn-imputation-and-logisticregression", "kernel_id": "29758950"}, {"ref": "michaelgwinn/tps-aug22", "kernel_id": "29564310"}, {"ref": "haekang/0809-tabular", "kernel_id": "29447436"}, {"ref": "bibekupadhyaya/randomforest-logisticregression-naivebayes-svm", "kernel_id": "29276266"}, {"ref": "kobzetsu/pytorch-for-start", "kernel_id": "29882628"}, {"ref": "kobzetsu/advanced-binning", "kernel_id": "29927625"}, {"ref": "eliasmller/tps-aug-22-feature-extraction", "kernel_id": "29549827"}, {"ref": "themikejones/tps-aug-22-votingclassifier", "kernel_id": "29413948"}, {"ref": "aidenfoster/tps-aug-22-vae-logistic-regression", "kernel_id": "29523660"}, {"ref": "aidenfoster/tps-aug-22-probabilistic-regression", "kernel_id": "29414414"}, {"ref": "jaymessidney/tps-aug-22-fe-autokeras", "kernel_id": "29386830"}, {"ref": "freddymeriwether/tps-aug-22-fe-pycaret", "kernel_id": "29384877"}, {"ref": "johnnywise/tps-aug-22-guessing-threshold", "kernel_id": "29691337"}, {"ref": "celiaryleigh/tps-aug-22-feature-selection-keras", "kernel_id": "29362065"}, {"ref": "celiaryleigh/tps-aug-22-similarity-of-products", "kernel_id": "29657807"}, {"ref": "julianjohs/tps-aug-22-feature-selection-some-new-features", "kernel_id": "29509223"}, {"ref": "holliwainwright/tps-aug-12-fe-logisticregression-random", "kernel_id": "29578870"}, {"ref": "remyharris/tps-aug-22-logistic-ga-features-selection", "kernel_id": "29322034"}, {"ref": "nortontok/tab-playground-competition", "kernel_id": "29745711"}, {"ref": "karensmiths/tps-aug-22-ensemble-top-solutions", "kernel_id": "29317170"}, {"ref": "carolinacarerra/tps-aug-22-autokeras", "kernel_id": "29308118"}, {"ref": "marcorusse/tps-aug-22-lasso-regression", "kernel_id": "29289822"}, {"ref": "marcorusse/tps-aug-12-logisticregression-semi-supervised", "kernel_id": "29590059"}, {"ref": "marcorusse/tps-aug-22-polynomial-feature-transformation", "kernel_id": "29645059"}, {"ref": "rosanigel/tps-aug-22-fe-ctgan", "kernel_id": "29547251"}, {"ref": "rosanigel/tps-aug-22-tensorflow-decision-forest", "kernel_id": "29284157"}, {"ref": "delilahrooney/tps-aug-22-lightgbm-xgb-logisticregression", "kernel_id": "29279384"}, {"ref": "trixytea/tps-aug-22-lightgbm-logistic-regression", "kernel_id": "29262947"}, {"ref": "trixytea/tps-aug-22-regression-classification-keras", "kernel_id": "29359885"}, {"ref": "trixytea/tps-aug-22-threshold-random", "kernel_id": "29696207"}, {"ref": "juanhubert/tps-aug-22-xgboost-optuna", "kernel_id": "29256496"}, {"ref": "jackyron/tps-aug-22-lightgbm-optuna", "kernel_id": "29255512"}, {"ref": "darnishmarshal/tps-aug-22-lightgbm-baseline", "kernel_id": "29251119"}, {"ref": "darnishmarshal/tps-aug-22-variancethreshold-kerasregressor", "kernel_id": "29697295"}, {"ref": "lavonteadams/tps-aug-22-kerasregressor", "kernel_id": "29667170"}, {"ref": "theathena/tps-aug-22-pca-logistic-regression", "kernel_id": "29485467"}, {"ref": "miyahayers/tps-aug-22-autokeras-for-each-product-code", "kernel_id": "29466263"}, {"ref": "allenbrownz/tps-aug-22-knorau", "kernel_id": "29457941"}, {"ref": "tariqbartlett/tps-aug-22-bayesian-neural-network", "kernel_id": "29432141"}, {"ref": "ameerhamza0311/simple-baseline", "kernel_id": "29242704"}, {"ref": "thariqnugrohotomo/tpsaug22-without-machine-learning", "kernel_id": "29301879"}, {"ref": "hosseinrezazadeh/notebookb3e4fcf537", "kernel_id": "29876714"}, {"ref": "hamidrezabakhtaki/tp-aug-2022-v2", "kernel_id": "29646823"}, {"ref": "casati8/kaggle-tps2022-aug-fastai-baseline", "kernel_id": "29357261"}, {"ref": "manthannagpurkar/tps-aug-lr-dt-rf-svm-knn-naivebayes", "kernel_id": "29529019"}, {"ref": "raj401/eda-preprocessed-data-tps-aug", "kernel_id": "29859407"}, {"ref": "priyanagda/eda-linear-regression-aug-tps", "kernel_id": "29343723"}, {"ref": "anassmellouki1/deep-learning-using-keras", "kernel_id": "29742805"}, {"ref": "kalininvladislav/aug-2022-eda-and-ml-keras-nn", "kernel_id": "29243394"}, {"ref": "ashaykatrojwar/tps-aug-neural-network-and-eda", "kernel_id": "29590213"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "junhooo/junho1", "kernel_id": "29644614"}, {"ref": "dhirajkumar612/0-58-artificial-neural-network", "kernel_id": "29340060"}, {"ref": "dhirajkumar612/iterative-imputer-logistic-regression-0-58", "kernel_id": "29303317"}, {"ref": "satoshiss/tpsaug-product-failure-prediction", "kernel_id": "29247652"}, {"ref": "satoshiss/tps-aug-product-failure-prediction", "kernel_id": "29262473"}, {"ref": "satoshiss/tps-aug-start-over", "kernel_id": "29788766"}, {"ref": "hugolearn/tps-aug-simple-model-and-get-good-scores", "kernel_id": "29566660"}, {"ref": "hugolearn/tps-aug-practice", "kernel_id": "29376418"}, {"ref": "rhythmcam/optimize-score-round", "kernel_id": "29827185"}, {"ref": "wasshoiwasshoi/2022-tps-aug-quick-eda", "kernel_id": "29247414"}, {"ref": "ddiyoungx4/tps-aug-2022-randomforest", "kernel_id": "29830598"}, {"ref": "adwaitkesharwani/starter-notebook", "kernel_id": "29305678"}, {"ref": "gurpreetchaggar/basic-eda-and-logistic-regression-model", "kernel_id": "29582038"}, {"ref": "rajeevnair676/simple-eda-and-xgb-missing-value-impute", "kernel_id": "29237933"}, {"ref": "srsses/playground-august", "kernel_id": "29252826"}, {"ref": "srsses/playground-august1", "kernel_id": "29537235"}, {"ref": "rizkykiky/need-eda-to-understand", "kernel_id": "29245116"}, {"ref": "syedsajjadaskari/easy-eda", "kernel_id": "29243869"}, {"ref": "arturra/my-solution-smart-cv", "kernel_id": "29985401"}, {"ref": "arturra/1-exploratory-data-analysis", "kernel_id": "29256453"}, {"ref": "arturra/2-eda-imputing-models-analysis-optuna", "kernel_id": "29338222"}, {"ref": "jj150618/tps-aug-22-eda-and-modeling-with-lda", "kernel_id": "29630087"}, {"ref": "shristi13sri/tps-aug-22-failure-prediction", "kernel_id": "29338638"}, {"ref": "daichisugawara/lr-copy-ipynb", "kernel_id": "29762341"}, {"ref": "mahendragundeti/tps-aug22", "kernel_id": "29235939"}, {"ref": "thomassimm/tabular-playground-aug22", "kernel_id": "29918564"}, {"ref": "abhigyandatta/super-soaker-eda-tps-aug22", "kernel_id": "29692684"}, {"ref": "abedwazwaz/tps-august-eda", "kernel_id": "29384256"}, {"ref": "meln1337/tabular-playground-aug-2022", "kernel_id": "29361002"}, {"ref": "m1y7k8/tps-aug-2022", "kernel_id": "29319016"}, {"ref": "ambrosm/tpsaug22-eda-which-makes-sense", "kernel_id": "29234782"}, {"ref": "ambrosm/tpsaug22-just-guessing", "kernel_id": "29677158"}, {"ref": "himanshunakrani/august-playground-eda", "kernel_id": "29686818"}, {"ref": "barbagrande007/bbg007-aug22", "kernel_id": "29254650"}, {"ref": "abdulghaffaransari/tps-aug-2022-best-ensemble-learning-technique", "kernel_id": "29473744"}, {"ref": "meisa0/tps-aug-22-feature-engineering-impute-lgbm", "kernel_id": "29245571"}, {"ref": "mahsazamanifard/tpsaug-eda-baseline-pipelines", "kernel_id": "29328192"}, {"ref": "act18l/stacked-model-mlp-logisticregression-random", "kernel_id": "29496219"}, {"ref": "pushpeshpant/classification-comparision", "kernel_id": "29590104"}, {"ref": "mahdeemushfiquekamal/tps-aug-ensembling-basic-models", "kernel_id": "29581112"}, {"ref": "diracturing/tps-aug-22-eda-model-testing-basics", "kernel_id": "29368281"}, {"ref": "satyaprakashshukl/elu-activation-neural-network", "kernel_id": "29736789"}, {"ref": "satyaprakashshukl/tps-neural-network-approach", "kernel_id": "29662310"}, {"ref": "satyaprakashshukl/tabular-simple-eda-using-dataprep", "kernel_id": "29659992"}, {"ref": "makotouchiyama/english-eda-3-lightgbm-tps-2208", "kernel_id": "29275661"}, {"ref": "makotouchiyama/english-eda-2-prefeatureselect-tps-2208", "kernel_id": "29267857"}, {"ref": "makotouchiyama/english-eda-1-missingval-r-tps-202208", "kernel_id": "29262061"}, {"ref": "razvanciubotaru/tps-2022-eda-logistic-regression", "kernel_id": "29428652"}, {"ref": "rm1000/improved-ensemble", "kernel_id": "29319179"}, {"ref": "hosseinbehjat/logisticregressiontps022", "kernel_id": "29448483"}, {"ref": "hosseinbehjat/display-some-insights-tps-aug2022", "kernel_id": "29269314"}, {"ref": "hosseinbehjat/lgbm-just-imputation", "kernel_id": "29895955"}, {"ref": "hosseinbehjat/ann-just-imputation", "kernel_id": "29655024"}, {"ref": "hwikookchoe/tps08-22-generalized-ensemble-model-gem", "kernel_id": "29439440"}, {"ref": "saritrath/tps-aug2022", "kernel_id": "29481868"}, {"ref": "pravashpurkayastha/tpg-aug-product-review", "kernel_id": "29445240"}, {"ref": "ravi20076/tpsaug22-extensiveeda", "kernel_id": "29570589"}, {"ref": "ravi20076/tpsaug22-featureengineering", "kernel_id": "29777805"}, {"ref": "durgeshrao9993/tabular-playground-series-aug-2022", "kernel_id": "29937128"}, {"ref": "heyspaceturtle/getting-my-life-together", "kernel_id": "29529135"}, {"ref": "heyspaceturtle/feature-selection-is-all-u-need-2", "kernel_id": "29423908"}, {"ref": "heyspaceturtle/feature-selection-is-all-u-need", "kernel_id": "29337552"}, {"ref": "heyspaceturtle/tps-aug22-logistic-regression", "kernel_id": "29241907"}, {"ref": "anubhavde/tabular-playground-series-august2022", "kernel_id": "29982741"}, {"ref": "vasiliygolikov/comparison-of-imputation-techniques", "kernel_id": "29786280"}, {"ref": "devangvinci/exploratory-data-analysis", "kernel_id": "29279646"}, {"ref": "datarohitingole/tps-aug-2022-autogluon-automl", "kernel_id": "29452679"}, {"ref": "kalelpark/visualization-for-matplotlib-introductory-1", "kernel_id": "29801468"}, {"ref": "ahmedtoba/sklearn-algorithms-and-dnn-keras-pytorch", "kernel_id": "29685824"}, {"ref": "sergeyyakovlev1312/predicting-with-nn", "kernel_id": "29776407"}, {"ref": "itspavansatish/bayesiangaussianmixture-classifer", "kernel_id": "29275945"}, {"ref": "leandrodestefani/stratifiedgroupkfold-logisticregression-nn", "kernel_id": "29526247"}, {"ref": "misaelcribeiro/tps-rfe-logging-many-models-performance", "kernel_id": "29250250"}, {"ref": "jeetkumarpal/tabular-playground-series-aug-2022", "kernel_id": "29863373"}, {"ref": "sfktrkl/tps-aug-2022", "kernel_id": "29288229"}, {"ref": "marioyuniortoribio/august-2022-kaggle", "kernel_id": "29393279"}, {"ref": "samuelcortinhas/tps-aug-22-failure-prediction", "kernel_id": "29330063"}, {"ref": "gopalgoyal612002/tps-aug-xgboost-classifier-eda", "kernel_id": "29255687"}, {"ref": "imnaho/predict-with-neural-network", "kernel_id": "29506875"}, {"ref": "ohba0321/eda-lightgbm-cross-validation", "kernel_id": "29251099"}, {"ref": "ohba0321/impute-strategy", "kernel_id": "29521219"}, {"ref": "nourhadrich/top-1-tps-aug-ensembling", "kernel_id": "29908121"}, {"ref": "nourhadrich/tps-aug-neural-network", "kernel_id": "29885600"}, {"ref": "nourhadrich/tps-aug-knn", "kernel_id": "29927124"}, {"ref": "nourhadrich/tps-aug-xgboost", "kernel_id": "29927690"}, {"ref": "nourhadrich/tps-aug-catboost", "kernel_id": "29967551"}, {"ref": "demko1/tps-aug-2022-comp", "kernel_id": "29246890"}, {"ref": "sathyakrishnan12/embedding-stratkfold-stacking-0-58581", "kernel_id": "29247222"}, {"ref": "atharv111/randomforestclassifier", "kernel_id": "29269268"}, {"ref": "manoj21k/tps-aug-2022-lgbmimputer-0-59214", "kernel_id": "29704807"}, {"ref": "jaskiratbenipal/eda-trying-different-models-overfitted-tree", "kernel_id": "29242707"}, {"ref": "varunnagpalspyz/top-15-just-another-tps-eda-log-reg-baseline", "kernel_id": "29309833"}, {"ref": "theyoof/tabular-playground-series-aug-2022", "kernel_id": "29626154"}, {"ref": "ibraheemseyam/tabular-playground-series-aug-2022", "kernel_id": "29433041"}, {"ref": "ibraheemseyam/tps-aug22-testing-product-specific-transformers", "kernel_id": "29615821"}, {"ref": "ibraheemseyam/tps-aug-22-fe-woee-pycaret", "kernel_id": "29669958"}, {"ref": "ibraheemseyam/template-automated-eda-visualiza", "kernel_id": "29876271"}, {"ref": "ibraheemseyam/tps-aug-22-pycaret-with-fix-imbalance", "kernel_id": "29903861"}, {"ref": "juanantoniosuwardi1/basic-machine-learning-tps-aug22", "kernel_id": "29589648"}, {"ref": "chrismysen/tabular-playground-august-2022-xgboost", "kernel_id": "29940394"}, {"ref": "ehekatlact/tps2208-kdtree-is-this-experiment-reproducible", "kernel_id": "29292054"}, {"ref": "ehekatlact/tps2208-eda-lgbm", "kernel_id": "29236082"}, {"ref": "ehekatlact/tps2208-lgbm-with-data-argumentation", "kernel_id": "29321766"}, {"ref": "mustafakeser4/tps-august-eda", "kernel_id": "29238199"}, {"ref": "joaopsobral/cdp-ex-03", "kernel_id": "29610891"}, {"ref": "nurielreuven/tabular-playground-aug-22-eda-modeling", "kernel_id": "29594404"}, {"ref": "sindhuinti/tabular-comp", "kernel_id": "29242755"}, {"ref": "abdulravoofshaik/eda-quick-insights-baseline", "kernel_id": "29236478"}, {"ref": "leehann/simple-effective-logistic-regression-ds-v2", "kernel_id": "29566114"}, {"ref": "leehann/simple-effective-logistic-regression-deepshare", "kernel_id": "29372331"}, {"ref": "anubhavgoyal10/tps-august-ann-score-0-584", "kernel_id": "29743139"}, {"ref": "rahulpatil5908/tps-aug22-eda-binary-classification", "kernel_id": "29446760"}, {"ref": "javigallego/tps-aug22-eda-optuna-blending-keras-lr", "kernel_id": "29338292"}, {"ref": "atrijtalgery/tps08-22-iterative-imputation-smotenc-svc", "kernel_id": "29499707"}, {"ref": "namelessfairy/linear-model-with-3-features", "kernel_id": "29784893"}, {"ref": "djustin/tps-aug-22-threshold-random-improved", "kernel_id": "29764035"}, {"ref": "rumbleftw/august-2022-tabular-playground-series", "kernel_id": "29790974"}, {"ref": "michalgnacik/tabularplayground-aug2022-xgboostattempt", "kernel_id": "29479918"}, {"ref": "kanantaghiyev/tabular-playground-series-aug-2022", "kernel_id": "29379809"}, {"ref": "yuorange/tps-aug-22-threshold-random-24ec06", "kernel_id": "29773422"}, {"ref": "scholzy/tps-august-eda-simple-logisticregression", "kernel_id": "29243058"}, {"ref": "hivanya/logisticregression-and-fill-nan-by-imputers", "kernel_id": "29281240"}, {"ref": "rutikachavan/tabular-playground-series", "kernel_id": "29661914"}, {"ref": "shilongzhuang/too-lazy-do-eda-like-a-boss-with-these-2-libs", "kernel_id": "29240076"}, {"ref": "usamabalochhh/eda-full-logistic-regression-explanation", "kernel_id": "29356281"}, {"ref": "usamabalochhh/data-is-imbalanced-use-smote", "kernel_id": "29374786"}, {"ref": "daesunryu/ml-tps-august-score-0-58943", "kernel_id": "29938506"}, {"ref": "gyeong6/tps-8-project", "kernel_id": "29685218"}, {"ref": "shimizuyusyuke/tps-aug-22-lr-lgbm", "kernel_id": "29859147"}, {"ref": "shimizuyusyuke/tps-aug-22-optimizing-ensemble-weights-optuna", "kernel_id": "29700945"}, {"ref": "ltrahul/tps-august-2022-solution", "kernel_id": "29304010"}, {"ref": "hirotokitamur/hk-tabular-playground-series-aug-2022", "kernel_id": "29375571"}, {"ref": "mattop/cube-sponges-tps-aug-2022", "kernel_id": "29514772"}, {"ref": "mattop/race-to-lb-0-6-keep-it-simple-tps-aug-2022", "kernel_id": "29469782"}, {"ref": "thedevastator/tps-aug-simple-baseline", "kernel_id": "29253499"}, {"ref": "alexandershumilin/tabular-playground-series-aug-2022-nn-keras", "kernel_id": "29768643"}, {"ref": "alexandershumilin/tps-aug-2022-with-xgboost-and-gridsearchcv", "kernel_id": "29739631"}, {"ref": "kevinmorgado/top-20-product-failure-prediction", "kernel_id": "29610283"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "sagar2168616/tabular-playground-series-aug-2022", "kernel_id": "29502360"}, {"ref": "piyushjain16/august-challenge2", "kernel_id": "29691138"}, {"ref": "sarthmirashi07/soak-it-all-up-tps-aug22-bagging-ensemble", "kernel_id": "29269959"}, {"ref": "hyejin12211/tps-final", "kernel_id": "29652026"}, {"ref": "heoquixote/tps-aug-2022-lgbmimputer-pycaret-0-59065", "kernel_id": "29645483"}, {"ref": "eunbhinkim/tps-final2", "kernel_id": "29676882"}, {"ref": "jinzer0/tabular-playground-series-aug-2022", "kernel_id": "29676978"}, {"ref": "yinging8561/pj-eun-eda", "kernel_id": "29646079"}, {"ref": "yinging8561/pj-eun3", "kernel_id": "29617219"}, {"ref": "yinging8561/pj-eun12", "kernel_id": "29788602"}, {"ref": "yinging8561/pj-eun", "kernel_id": "29503840"}, {"ref": "shshinin/kdt-ai-03-ml-pjt-tps-aug-2022-report", "kernel_id": "29783910"}, {"ref": "dantecosta/aug-22", "kernel_id": "29462737"}, {"ref": "ankitaanand28/tps-aug22", "kernel_id": "29358679"}, {"ref": "mdashifmallick/tabular-pg-series-lr-model", "kernel_id": "29325536"}, {"ref": "majkaf/tbs-aug-2022-binary-classification", "kernel_id": "29239450"}, {"ref": "hasanmumtaz16/tps-aug2022-just-a-normal-ml-workflow", "kernel_id": "29917845"}, {"ref": "gupadi/tpsaug-eda-unique-productcodes-attributes-comb", "kernel_id": "29283452"}, {"ref": "majidabdoos/tps-aug-2022-lgbmimputer-pca-lr-0-59041", "kernel_id": "29630082"}, {"ref": "hikarutabata/tps-aug22-minimum-lgbm", "kernel_id": "29497394"}, {"ref": "devic1/tps-aug-22", "kernel_id": "29280612"}, {"ref": "francescoliveras/tabular-pg-nn-en-es", "kernel_id": "29784522"}, {"ref": "francescoliveras/tps-nn-v2-en-es", "kernel_id": "29868663"}, {"ref": "konomuabe/tps-aug-2002", "kernel_id": "29290922"}, {"ref": "fredriktrulsson/tps-aug-22-exploring-the-data", "kernel_id": "29602157"}, {"ref": "tinfufans/aug2022", "kernel_id": "29275107"}, {"ref": "huggingface/improving-production-workflows-using-skops", "kernel_id": "29534468"}, {"ref": "abdu0ch/tabular-aug", "kernel_id": "29472121"}, {"ref": "drgponte/tabular-08-2022", "kernel_id": "29361056"}, {"ref": "wellissongomess/notebook-w", "kernel_id": "29582947"}, {"ref": "jinsatp/eda-and-logistic-regression-for-beginners", "kernel_id": "29568826"}, {"ref": "alvinleenh/tpsaug22-ensemble-ctb-lgb-lr", "kernel_id": "29743449"}, {"ref": "alvinleenh/6-basic-feature-selection-techniques", "kernel_id": "29878923"}, {"ref": "mikita1580/tabular-playground-nn", "kernel_id": "29956571"}, {"ref": "ihoushin/tps-aug2022-pytorch-simplenn", "kernel_id": "29766767"}, {"ref": "wfan2022/notebook-playground-aug2022-neural-networks", "kernel_id": "29702611"}, {"ref": "zhialexanderyang/tabular-playground-series-trial", "kernel_id": "29760657"}, {"ref": "madhvendrasingh21/richest-person-data", "kernel_id": "29762163"}, {"ref": "prashantmudgal/entity-embeddings-aug-2022-tabular-playground", "kernel_id": "30329644"}, {"ref": "mralexeimk/tensorflow-binary-regressor", "kernel_id": "30619172"}, {"ref": "takanashihumbert/adversarial-validation-for-private-data", "kernel_id": "30007334"}, {"ref": "geokocha/lightgbm-tps-aug", "kernel_id": "30042060"}, {"ref": "hunterdlugas/tps-august-2022-processing", "kernel_id": "30001225"}, {"ref": "hunterdlugas/tps-august-2022-modeling", "kernel_id": "30001280"}, {"ref": "marcuspop/gdmlbootcamp-ml-practice-kaggle-tabular-august", "kernel_id": "30190146"}, {"ref": "ritesh065/tabular-playground-series-aug-2022", "kernel_id": "30697874"}, {"ref": "timothys5/tabular-playground-series-aug-2022", "kernel_id": "30662486"}, {"ref": "neesham/nlp-for-beginners", "kernel_id": "30979766"}, {"ref": "thariqnugrohotomo/tpsaug22-without-machine-learning-2", "kernel_id": "30017379"}, {"ref": "rohchoeyuha/prediction-using-lr", "kernel_id": "30014912"}, {"ref": "tomjosephmo/logistic-regression-with-missing-values-accounted", "kernel_id": "30502537"}, {"ref": "gauravmalik26/tps-august-2022-highest-score-late-submission", "kernel_id": "30244511"}, {"ref": "mateussehn/tabular-playground-series-aug-2022-score-0-58", "kernel_id": "30001871"}, {"ref": "bhatnagardaksh/gradient-descent-from-scratch", "kernel_id": "30714002"}, {"ref": "adda2003/notebooka3d0a3c1f1", "kernel_id": "30021747"}, {"ref": "fundaissearchingfor/tabular-playground-score-0-59071", "kernel_id": "30142582"}, {"ref": "argyrisanastopoulos/private-score-0-59144-combine-logisticregression", "kernel_id": "30040331"}, {"ref": "mohamedalisalama/tabular-playground-series-aug-2022", "kernel_id": "30016070"}, {"ref": "aniketarpathak/0-79-score-tabular-playground-data-analysis", "kernel_id": "30206603"}, {"ref": "gunwoof/notebook0929151fc8", "kernel_id": "30013525"}, {"ref": "rayenghali023/classification-cross-val-and-gridsearchcv-smote", "kernel_id": "30313929"}, {"ref": "qqzzxxdd/private-score-0-59168-simple-fe-autogluon", "kernel_id": "30037971"}, {"ref": "pavansai2545/playground-series-aug", "kernel_id": "30914994"}, {"ref": "rizkia14/a-complete-guide-to-k-nearest-neighbours", "kernel_id": "30958103"}, {"ref": "enric1296/tab-playg-series-sep-22", "kernel_id": "31872029"}, {"ref": "keihiroshima/tps-naive", "kernel_id": "31920692"}, {"ref": "khaberykhabery/top-20-three-models-failure-prediction", "kernel_id": "32272081"}, {"ref": "erenakbulut/eda-submission-pandasprofiling-lazy-predict", "kernel_id": "33272351"}, {"ref": "johnybhiduri/tabular-playground-series-keras", "kernel_id": "33715332"}, {"ref": "jawadali101/august-2022-kaggle", "kernel_id": "33721467"}, {"ref": "jerrychild999922/aug-2022-logisticregression-3-folds", "kernel_id": "33982329"}, {"ref": "parmindersinghgill/notebookc51af97eea", "kernel_id": "35690390"}, {"ref": "vaishnaviasonawane/sklearn-pipeline", "kernel_id": "36479277"}, {"ref": "darshanbhavsar/tabular-playground-with-sklearn-pipelines", "kernel_id": "36802520"}, {"ref": "gauravmishra07/gaurav", "kernel_id": "37361492"}, {"ref": "jeremyandryanto/agustus2022", "kernel_id": "38910649"}, {"ref": "luistalavera/tabtransformer", "kernel_id": "40549932"}, {"ref": "zakiki/notebook-c7023320040", "kernel_id": "41524038"}, {"ref": "nagaiyumasyakiba/notebookc5ccf44bnyy1", "kernel_id": "41295371"}, {"ref": "c612334043/notebooke7f99efecd", "kernel_id": "41523345"}, {"ref": "yamajikoudai/notebook-kadai", "kernel_id": "41522994"}, {"ref": "nakamuraayuka/notebookkadai", "kernel_id": "41524238"}, {"ref": "m311on/notebookc5ccf5b057", "kernel_id": "41285585"}, {"ref": "m311on/notebookf6551d8241", "kernel_id": "41056125"}, {"ref": "jinzer0/tps-aug-2022-lgbmimputer-pycaret-0-59065", "kernel_id": "44081243"}, {"ref": "sunhxuan/tabular-playground-series-august2022", "kernel_id": "46064027"}, {"ref": "avinashtokada25/exploratory-data-analysis", "kernel_id": "49915377"}, {"ref": "riyaraizada/tabular-playground-series-aug-2022", "kernel_id": "55005141"}, {"ref": "romanezyh/ecpk-sy2324135-romane-projet", "kernel_id": "55538914"}, {"ref": "yousefelbaz/genetic-algorithm-with-two-problems-tsp-knp", "kernel_id": "56439612"}, {"ref": "syednazmussakib/tabular-playground-series-aug-2022", "kernel_id": "62697802"}]}
{"competition_id": "33109", "kernels": [{"ref": "usamabalochhh/time-series-using-xgboost", "kernel_id": "28979953"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "bansodesandeep/ml-logistic-regression-boston-data-binning", "kernel_id": "29915382"}, {"ref": "alvinleenh/6-basic-feature-selection-techniques", "kernel_id": "29878923"}, {"ref": "paddykb/tps-2022-09-compare-to-best-public-notebook", "kernel_id": "30360190"}, {"ref": "shrutisaxena/tps-sep-2022-eda", "kernel_id": "30042439"}, {"ref": "adaubas/tps-sep-2022-10th-place-solution-ridge-glm", "kernel_id": "30276512"}, {"ref": "adaubas/tps-sep-22-eda-and-linear-regression-by-cv", "kernel_id": "30269553"}, {"ref": "adaubas/tps-sep-2022-about-year-and-gdp", "kernel_id": "30313675"}, {"ref": "jamesmcguigan/tps-2022-09-profilereport-autoeda", "kernel_id": "30108698"}, {"ref": "jamesmcguigan/tps-2022-09-pycaret3-automl-regression", "kernel_id": "30108937"}, {"ref": "tomwarrens/temporal-fusion-transformer-in-pytorch", "kernel_id": "30324103"}, {"ref": "stautxie/svd-and-relation-to-hierarchical-forecasting", "kernel_id": "30193138"}, {"ref": "stautxie/tabular-challenge-sep-2022-baseline", "kernel_id": "30151267"}, {"ref": "thesarfaraz/multiple-arma-models-tps-sep2022", "kernel_id": "30818969"}, {"ref": "javiersaenz/using-modeltime-r-library", "kernel_id": "30263673"}, {"ref": "laurao/lgbm-with-optuna", "kernel_id": "30049346"}, {"ref": "cv13j0/tps-sep22-baseline-gradient-boosted-trees", "kernel_id": "30079968"}, {"ref": "cv13j0/tps-sep22-latest-model-ideas", "kernel_id": "30291535"}, {"ref": "rsesha/lazy-sulo-sep-tps-score-5-55", "kernel_id": "30315807"}, {"ref": "toshimelonhead/forecasting-sktime-edition", "kernel_id": "30038314"}, {"ref": "mrandri19/tpssep22-7-figure-eda", "kernel_id": "30059935"}, {"ref": "mrandri19/tpssep22-02-without-ml", "kernel_id": "30077506"}, {"ref": "mrandri19/tpssep22-the-data-generating-model", "kernel_id": "30124361"}, {"ref": "ytakashina/tps-index-creation", "kernel_id": "30736000"}, {"ref": "ytakashina/rulebased-prediction", "kernel_id": "30763698"}, {"ref": "davidhguerrero/eda-to-gain-insights-tpssep22", "kernel_id": "30107690"}, {"ref": "davidhguerrero/explore-visualize-different-kernel-with-spline", "kernel_id": "30588465"}, {"ref": "canonicalized/tps-sep-time-series-forecasting", "kernel_id": "30070332"}, {"ref": "paultimothymooney/use-tf-decision-forests-to-submit-to-tds-sep-22", "kernel_id": "30034956"}, {"ref": "ashishtop/date-variables-eda-model", "kernel_id": "30761511"}, {"ref": "nicholasting/simple-prophet-nicholas-ting", "kernel_id": "30494817"}, {"ref": "vijayendrad/tpg-sep22-p", "kernel_id": "30273810"}, {"ref": "vijayendrad/tpg-sep22-r", "kernel_id": "30253576"}, {"ref": "vijayendrad/tabularpg-sep2022", "kernel_id": "30171649"}, {"ref": "vijayendrad/tabular-playground-sep22", "kernel_id": "30039781"}, {"ref": "vijayendrad/tpg-sep-lreg", "kernel_id": "30481084"}, {"ref": "tawejssh/tps-september-2022-eda-lightgbm", "kernel_id": "30095411"}, {"ref": "tatudoug/genetic-programming", "kernel_id": "30293711"}, {"ref": "vishnu123/tps-sep-22-eda-lasso-groupkfold-mean-ratios", "kernel_id": "30571947"}, {"ref": "sindreedelange/tps22sep-timeseries-forecast-w-darts", "kernel_id": "30447324"}, {"ref": "sindreedelange/fastai-covid-feature-importance-xgb-nn-8-9", "kernel_id": "30060187"}, {"ref": "cyborg123/simple-regression", "kernel_id": "30063854"}, {"ref": "scchuy/tps-202209-lastyearfeatures-catboost", "kernel_id": "30657135"}, {"ref": "scchuy/tps-202209-lastyearfeatures-weekfix-catboost-lasso", "kernel_id": "30685074"}, {"ref": "miwojc/tps2209-01", "kernel_id": "30299276"}, {"ref": "miwojc/tps2209-00", "kernel_id": "30276693"}, {"ref": "alex97andreev/tuning-of-elasticnet-hyperparameters", "kernel_id": "30682809"}, {"ref": "oscarm524/tabular-sep-2022-eda", "kernel_id": "30052647"}, {"ref": "debadri1010/tabular-playground-sept-2022-eda", "kernel_id": "30102435"}, {"ref": "bahaakhaled97/informative-eda-simple-ensemble-models", "kernel_id": "30334739"}, {"ref": "juhjoo/4-41-tpg-sep-ridge-lasso-linear-elastic-ensemble", "kernel_id": "30164945"}, {"ref": "juhjoo/6-86-tps-sep-lightgbm-with-optuna", "kernel_id": "30038892"}, {"ref": "andrewrrose/ensemble-of-public-contributions", "kernel_id": "30343412"}, {"ref": "asimzahid/tps-sept-2022-eda-feature-engineering", "kernel_id": "30041036"}, {"ref": "susnato/tps-2022-sep-adversarial-validation", "kernel_id": "30151787"}, {"ref": "akmalmir/tps-09-2022-no-machine-learning-solution", "kernel_id": "30036185"}, {"ref": "akmalmir/tps-09-2022-boltzmann-ensemble", "kernel_id": "30665680"}, {"ref": "racastroc/basic-implementation-of-prophet-forecasting-model", "kernel_id": "30038650"}, {"ref": "develuse/4-5-top-100-ensemble-disaggregate-pyramid", "kernel_id": "30689588"}, {"ref": "viktorfairuschin/tps-sep-22-stl-decomposition", "kernel_id": "30044414"}, {"ref": "stpeteishii/tps0922-multi-prophet", "kernel_id": "30367553"}, {"ref": "stpeteishii/tps0922-histplot", "kernel_id": "30297869"}, {"ref": "tolgayan/tps-sep-2022-nice-to-meet-you", "kernel_id": "30082860"}, {"ref": "ted0071/tps-sep-2022-eda-regression", "kernel_id": "30083731"}, {"ref": "cesarsupo/tps-09-votingregressor", "kernel_id": "30102610"}, {"ref": "yy123123/tps-sep-2022-simple-to-use-stacked-lstm", "kernel_id": "30416711"}, {"ref": "mpwolke/smape-tf-df-plot-model-colab", "kernel_id": "30060475"}, {"ref": "mpwolke/one-not-smart-kaggler-goose", "kernel_id": "30055958"}, {"ref": "brysonje/dates-feature-eng-catboost-regressor", "kernel_id": "30769866"}, {"ref": "swagician/sep-the-tides-and-turns-of-a-time-series", "kernel_id": "30035970"}, {"ref": "vencerlanz09/tps-eda-9-models-explanation", "kernel_id": "30036905"}, {"ref": "l12161/generic-eda-20220905", "kernel_id": "30132227"}, {"ref": "jcaliz/tps-sep22-eda-baseline-you-were-looking-for", "kernel_id": "30036002"}, {"ref": "jcaliz/tps-sep22-leaderboard-probing", "kernel_id": "30212224"}, {"ref": "jcaliz/tps-sep22-mitigating-holidays-outliers", "kernel_id": "30311520"}, {"ref": "alejopaullier/tps-september-2022-eda", "kernel_id": "30038904"}, {"ref": "priv375/eda-tps-sep-2022", "kernel_id": "30041755"}, {"ref": "hasanbasriakcay/tpssep22-insightful-eda-fe-gdp-covid19", "kernel_id": "30040616"}, {"ref": "weivvz/tps-sep-22-catboosterregressor-gridsearchcv", "kernel_id": "30809287"}, {"ref": "naiborhujosua/data-profiling", "kernel_id": "30826614"}, {"ref": "naiborhujosua/tps-10-tabnet-xgboost", "kernel_id": "30470583"}, {"ref": "saumitgp/prediction-with-catboost-regressor", "kernel_id": "30283464"}, {"ref": "saumitgp/gradient-boosting-97-9", "kernel_id": "30240007"}, {"ref": "catadanna/tabular-folds-sep-2022", "kernel_id": "30144139"}, {"ref": "rajsengo/r-tidy-tools-for-time-series-analysis", "kernel_id": "30451414"}, {"ref": "danilopaula/tps-sep22-eda-fe-hyperparametertunning-lgbm", "kernel_id": "30119667"}, {"ref": "devsubhash/tps-sept-eda-lgbm-baseline", "kernel_id": "30215428"}, {"ref": "bayremabdellaoui/eda-random-forest-gridsearch-cv", "kernel_id": "30798701"}, {"ref": "bayremabdellaoui/xgboost-baseline-eda", "kernel_id": "30614013"}, {"ref": "sidharkal/playground-notebook", "kernel_id": "30304538"}, {"ref": "saraswatitiwari/tps-september-2022", "kernel_id": "30227773"}, {"ref": "saraswatitiwari/tps-sept-2022", "kernel_id": "30356713"}, {"ref": "saraswatitiwari/tps-september-22", "kernel_id": "30413979"}, {"ref": "lucasmorin/external-data-covid", "kernel_id": "30046149"}, {"ref": "mukaseevru/tps-sep-22-lama-lightautoml", "kernel_id": "30565078"}, {"ref": "aatiffraz/tps-09-2022-a-shopkeeper-s-perspective-baseline", "kernel_id": "30102927"}, {"ref": "antonellomartiello/eda-prophet-modeling-lockdown-cv-regressor", "kernel_id": "30167313"}, {"ref": "akioonodera/tps-sep22-lgbm-reg-optuna", "kernel_id": "30038781"}, {"ref": "robertturro/tree-models-tps-sep-2022", "kernel_id": "30485026"}, {"ref": "robertturro/plotly-visuals-tps-sep-2022", "kernel_id": "30247971"}, {"ref": "owaishaseeb/book-sale-prediction", "kernel_id": "30071026"}, {"ref": "sanjaylalwani/tps-sept22-plotly-arima", "kernel_id": "30040210"}, {"ref": "khmelevnikita/analyze-data", "kernel_id": "30280716"}, {"ref": "cabaxiom/tps-sep-22-eda-and-linear-regression-baseline", "kernel_id": "30123547"}, {"ref": "taha07/fundamental-feature-engineering-techniques", "kernel_id": "30323634"}, {"ref": "nischaydnk/tps-sept-leak-free-catboost-baseline", "kernel_id": "30050652"}, {"ref": "danbouchard/tab-playground-09-22", "kernel_id": "30587564"}, {"ref": "marcuspop/september-tabular-tf-timeseries", "kernel_id": "30458113"}, {"ref": "mdshahbazalam/catboostregressor", "kernel_id": "30300370"}, {"ref": "shamimahossain/tfdf-regression", "kernel_id": "30120321"}, {"ref": "ranjeetshrivastav/tps-sep-22-pycaret", "kernel_id": "30041801"}, {"ref": "mikhaildonskoy/simple-catboost-baseline-with-gridsearch", "kernel_id": "30284943"}, {"ref": "mikhaildonskoy/comparing-main-ml-models-in-10-minutes", "kernel_id": "30116621"}, {"ref": "mikhaildonskoy/linear-baseline-with-timeseries-crossvalidation", "kernel_id": "30139617"}, {"ref": "mikhaildonskoy/lightgbm-with-gridsearch", "kernel_id": "30330103"}, {"ref": "prasadckulkarni/eda-tabular-playground", "kernel_id": "30768617"}, {"ref": "prasadckulkarni/tableau-eda-tabular-playground", "kernel_id": "30831441"}, {"ref": "landfallmotto/tps-sep-22-eda-histgradientboosting-6-06", "kernel_id": "30040257"}, {"ref": "sagnik1511/tps-believing-in-prophet", "kernel_id": "30396962"}, {"ref": "kostiantynlavronenko/tps-09-22-regression", "kernel_id": "30043080"}, {"ref": "mohitkarelia/playground-series-sept-2022", "kernel_id": "30250922"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "tracyporter/sep-22-normalise-tabular", "kernel_id": "30051474"}, {"ref": "tracyporter/sep-22-tabular", "kernel_id": "30040800"}, {"ref": "reymaster/eda-time-series-features-votingregressor", "kernel_id": "30103752"}, {"ref": "griffenthoma/tps-sep-22-simplest-model-of-product-shares", "kernel_id": "30480760"}, {"ref": "griffenthoma/tps-sep-22-exogs-and-total-sales-forecast", "kernel_id": "30265954"}, {"ref": "griffenthoma/tps-sep-22-scoring-mechanic-dummy-model", "kernel_id": "30059031"}, {"ref": "griffenthoma/tps-sep-22-eda-discovering-year-2020-data-oddity", "kernel_id": "30054182"}, {"ref": "sandeepmajumdar/tps-sep-2022-visualize-gdp-per-capita", "kernel_id": "30264950"}, {"ref": "egeakyol/tps-sep-eda-modelling-6-77378-with-shap", "kernel_id": "30038630"}, {"ref": "paulrudolph/tabular-sep-2022-eda-insights-baseline-model", "kernel_id": "30056297"}, {"ref": "roccoincardona/tabular-series-sep22-intro-analysis-xgboost", "kernel_id": "30119587"}, {"ref": "leesstephanie/tps-sep-2022-how-not-to-get-an-lb-score-of-11-8", "kernel_id": "30830664"}, {"ref": "mhslearner/tps-sep-time-series-analysis-eda-lgbm", "kernel_id": "30044897"}, {"ref": "aklimarimi/top-29-winning-solution-lol", "kernel_id": "30119936"}, {"ref": "maha32/forecast-books-sold", "kernel_id": "30069446"}, {"ref": "luisvcs/fork-of-tabular-eda-feature-and-tf-modelling", "kernel_id": "30691817"}, {"ref": "luisvcs/tabular-eda-feature-and-tf-modelling", "kernel_id": "30688663"}, {"ref": "realapex/tabular-data-draft-1", "kernel_id": "30485363"}, {"ref": "prosenjit123/pg-sep2022", "kernel_id": "30639972"}, {"ref": "ivjyotsingh/tps-sep22-prophet-r", "kernel_id": "30527301"}, {"ref": "nishantdhingra/detailed-eda-tps-september-2022", "kernel_id": "30147486"}, {"ref": "harshhzz/eda-and-modelling", "kernel_id": "30225565"}, {"ref": "chiehjulin/tps-sep-2022", "kernel_id": "30040011"}, {"ref": "evancallaghan/tpg-sep-22-fe-baseline-model", "kernel_id": "30061714"}, {"ref": "manthanx/tps-sep22-pycaret-voting-regressor-blend-6-58", "kernel_id": "30039979"}, {"ref": "shibumohapatra/tabular-playground-series-sep-2022", "kernel_id": "30707590"}, {"ref": "michaelgwinn/tpssep22-basic-eda-features-6-55-lb", "kernel_id": "30311875"}, {"ref": "ducanger/tps-sep-lgbm-simple-baseline", "kernel_id": "30046484"}, {"ref": "ducanger/4-47-smape-lasso-oof-predict", "kernel_id": "30656880"}, {"ref": "archietram/copied-from-nischay-dhankhar-with-a-tiny-change", "kernel_id": "30056583"}, {"ref": "sardorabdirayimov/target-encoding-high-cardinality-feature", "kernel_id": "30411258"}, {"ref": "santosh1974/play-ground-sept-second", "kernel_id": "30224472"}, {"ref": "santosh1974/play-ground-sept-first", "kernel_id": "30121888"}, {"ref": "osamarakan/day-of-the-week-feature-some-ideas", "kernel_id": "30730056"}, {"ref": "prievaragabriella/simple-tps-sept", "kernel_id": "30631658"}, {"ref": "mhadani/tps-sep-2022", "kernel_id": "30116171"}, {"ref": "mhadani/tabular-playground-series-sep-2022", "kernel_id": "30314003"}, {"ref": "ameerhamza0311/lightgbm", "kernel_id": "30037739"}, {"ref": "ayazmehmood550/tabular-playground-series-sep-2022", "kernel_id": "30414169"}, {"ref": "hamidrezabakhtaki/tp-sep-22-eda-lasso-ridge-lr-xgb", "kernel_id": "30092918"}, {"ref": "une510/tps-sep-2022", "kernel_id": "30102142"}, {"ref": "amaneamane/basic-eda", "kernel_id": "30494961"}, {"ref": "kitadakiyoto/tpssep22-predict-by-linear-regression-1st-place", "kernel_id": "30283959"}, {"ref": "kalininvladislav/eda-and-ml-tps-sep-2022", "kernel_id": "30037302"}, {"ref": "masatomurakawamm/n-beats-dnn-for-univariate-time-series-forecast", "kernel_id": "30224448"}, {"ref": "eldarsarajlic/beginner-time-series-code-commentary", "kernel_id": "30316391"}, {"ref": "hkhiroshima/tps2022-sep-eda-lgbm-baseline", "kernel_id": "30045911"}, {"ref": "hkhiroshima/tps22-sep-product-cyclicality", "kernel_id": "30118594"}, {"ref": "gauravmalik26/stacking-xgb-catboost-lgb-tps-sep-2022", "kernel_id": "30662266"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "raghulraj422/time-series-prediction-tps-sept-2022", "kernel_id": "30152580"}, {"ref": "satoshiss/tps-22-sep-review-time-series-and-some-ideas", "kernel_id": "30049772"}, {"ref": "hugolearn/tsp-step-timeseries-practice", "kernel_id": "30398984"}, {"ref": "hugolearn/tps-sep-practice", "kernel_id": "30052621"}, {"ref": "wasshoiwasshoi/2022-tps-sep-quick-eda", "kernel_id": "30274542"}, {"ref": "kotrying/tps0922", "kernel_id": "30036068"}, {"ref": "kiyotani/kaggle-playground-series202209", "kernel_id": "30519060"}, {"ref": "liampresland/holiday-mini-eda", "kernel_id": "30361267"}, {"ref": "arturra/1-eda-seasonality-fourier-features", "kernel_id": "30043916"}, {"ref": "samerrkhann/eda-is-all-you-need-visualizing-tps", "kernel_id": "30444128"}, {"ref": "ayushjain001/tabular-playground-series-september", "kernel_id": "30834267"}, {"ref": "davidzambrano87/eda-september-tabular-playground", "kernel_id": "30082192"}, {"ref": "tejaswikumar24/tabular-september-playground-challenge", "kernel_id": "30850846"}, {"ref": "yangtony1999/easy-to-follow-guidance-tps-sep", "kernel_id": "30426053"}, {"ref": "bhatnagardaksh/gradient-descent-from-scratch", "kernel_id": "30714002"}, {"ref": "asemmustafa/integrating-support-vector-regression-and-nlp-tech", "kernel_id": "30552909"}, {"ref": "m1y7k8/tps-sep-2022-eda", "kernel_id": "30085416"}, {"ref": "pierremonroy/september-tabular-playground-eda-sarima", "kernel_id": "30059006"}, {"ref": "barbagrande007/september-bbg007", "kernel_id": "30097247"}, {"ref": "param302/notebook-1", "kernel_id": "30372910"}, {"ref": "param302/tps-eda-model-evaluation-smape", "kernel_id": "30389102"}, {"ref": "act18l/tps2209-lightgbm-optuna", "kernel_id": "30052839"}, {"ref": "satyaprakashshukl/xg-boost", "kernel_id": "30331299"}, {"ref": "satyaprakashshukl/eda-tps-sep-2022", "kernel_id": "30152971"}, {"ref": "saumilagrawal10/4-41-tpg-sep22-ensemble-of-models-improved", "kernel_id": "30524722"}, {"ref": "saumilagrawal10/high-tps08", "kernel_id": "30297996"}, {"ref": "saumilagrawal10/ensemble-of-public-contributions", "kernel_id": "30348160"}, {"ref": "saumilagrawal10/4-37-tpg-sep-ensemble-of-3-models-improved-2", "kernel_id": "30712686"}, {"ref": "hosseinbehjat/no-need-to-aggregate-and-disaggregate-tpssep22", "kernel_id": "30147347"}, {"ref": "mikailduzenli/tps-2022-notebook", "kernel_id": "30901413"}, {"ref": "ravi20076/tpssep22-featureengineeringpipeline", "kernel_id": "30774660"}, {"ref": "ravi20076/tpssep22-eda-visualization", "kernel_id": "30058256"}, {"ref": "datarohitingole/tps-sep-22-xgbregressor-catboostregressor", "kernel_id": "30308913"}, {"ref": "nanduvardhanreddy/tbh-sep-2022", "kernel_id": "30469074"}, {"ref": "nanduvardhanreddy/tbs-eda", "kernel_id": "30352429"}, {"ref": "lazer999/time-series-tps-eda-xgb-simplified", "kernel_id": "30630480"}, {"ref": "angelmartinezromero/tabular", "kernel_id": "30413069"}, {"ref": "jineeshkb/tabular-play-series-simple-xgb-model", "kernel_id": "30578923"}, {"ref": "ahmedtoba/xgb-vs-nn", "kernel_id": "30101501"}, {"ref": "kornelhowil/36th-place-solution-tps-sep22-eda-ridge-cv", "kernel_id": "30741015"}, {"ref": "deva0703/eda-tabular-sept-22", "kernel_id": "30082224"}, {"ref": "sergeyyakovlev1312/time-series-prediction-using-nn", "kernel_id": "30203417"}, {"ref": "itspavansatish/xgb-parameter-tuning", "kernel_id": "30172626"}, {"ref": "lizavetababior/google-ml-bootcamp-learning", "kernel_id": "30305092"}, {"ref": "skanderhaddar/tabular-skander-haddar", "kernel_id": "30737413"}, {"ref": "aneridalwadi/time-series-with-pytorch", "kernel_id": "30157363"}, {"ref": "jeetkumarpal/tabular-playground-series-sep-2022", "kernel_id": "30617462"}, {"ref": "zzettrkalpakbal/disaggregate-forecast-cabaxiom-pycaret", "kernel_id": "30331052"}, {"ref": "zzettrkalpakbal/covid-data-leakage", "kernel_id": "30199082"}, {"ref": "houssemaminetouihri/eda-tabular", "kernel_id": "30803360"}, {"ref": "samuelcortinhas/tps-sept-22-timeseries-analysis", "kernel_id": "30046703"}, {"ref": "samuelcortinhas/tps-sept-22-fourier-analysis", "kernel_id": "30152328"}, {"ref": "zhdonas/tps-september-2022-cci-nn", "kernel_id": "30775127"}, {"ref": "imnaho/tps-22-sep", "kernel_id": "30122883"}, {"ref": "yanmazas/data-analysis-for-my-first-shared-notebook", "kernel_id": "30059466"}, {"ref": "ohba0321/tps2209-edaandlightgbm", "kernel_id": "30116643"}, {"ref": "kaggleqrdl/disaggregate-forecast-cabaxiom-fork", "kernel_id": "30271670"}, {"ref": "ibraheemseyam/circle-time-units-pca-eda-pycaret", "kernel_id": "30045034"}, {"ref": "himanshunayal/tps-sep-2022-using-smape-for-evaluation", "kernel_id": "30140682"}, {"ref": "chrismysen/tabularplay-sept-2022-basic-time-prediction", "kernel_id": "30200948"}, {"ref": "chrismysen/decisiontreemodel-tabular-playground-sept-2022", "kernel_id": "30098751"}, {"ref": "ehekatlact/tps2209-ridge-lgbm-eda-topdownapproach", "kernel_id": "30064210"}, {"ref": "mustafakeser4/tps-sep", "kernel_id": "30051173"}, {"ref": "nurielreuven/tps-sep-2022-eda-lstm-model", "kernel_id": "30072181"}, {"ref": "r0hn00/tps-sept22", "kernel_id": "30076097"}, {"ref": "manishwahale/tps-sep22-eda", "kernel_id": "30047326"}, {"ref": "gelgel5633/6-24-ensemble-lgbm-cat-rf-xgb", "kernel_id": "30537919"}, {"ref": "gelgel5633/en-ensemble-4-model-randomsearcv", "kernel_id": "30809627"}, {"ref": "khashayarrahimi94/no-ml-just-statistical-analysis", "kernel_id": "30637667"}, {"ref": "ajr094/tps-sept-predict-book-sales-in-2021", "kernel_id": "30397804"}, {"ref": "anubhavgoyal10/tps-september-in-depth-eda-score-6-20", "kernel_id": "30040312"}, {"ref": "ritrex/tabular-playground-series-sept-2022", "kernel_id": "30225296"}, {"ref": "atrijtalgery/tps09-22-gaussian-mix-seasonality-encoding-mlpreg", "kernel_id": "30047764"}, {"ref": "daniil7191/sept-22-xgb-prophet", "kernel_id": "30845143"}, {"ref": "namelessfairy/improvised-ema-device", "kernel_id": "30474749"}, {"ref": "zwqer2345/sept-2022-10-42013", "kernel_id": "30170901"}, {"ref": "salihkundakc/tabular-lgbm-0-969", "kernel_id": "30074764"}, {"ref": "manguu/simple-lightgbm-gridsearchcv-encoding-weight", "kernel_id": "30469449"}, {"ref": "alexishenko/pytorch-deep-learning-net", "kernel_id": "30838815"}, {"ref": "usamabalochhh/eda-with-explanation-tps-sep2022", "kernel_id": "30117315"}, {"ref": "shariful07/tps-sep-2022-lgbmregressor-and-eda", "kernel_id": "30209209"}, {"ref": "nuritasthedataist/tps-sept-22-lgbm", "kernel_id": "30128980"}, {"ref": "hirotokitamur/hk-tabular-playground-series-sep-2022", "kernel_id": "30112950"}, {"ref": "tmleyncodes/tabular-playground-series", "kernel_id": "30515035"}, {"ref": "mattop/experimental-visualization-of-the-synthetic-data", "kernel_id": "30217831"}, {"ref": "mattop/tps-sep-2022-eda", "kernel_id": "30037896"}, {"ref": "mattop/scaled-num-sold-feature-by-country", "kernel_id": "30056871"}, {"ref": "haydendippel/tabular-playground-series-9-22", "kernel_id": "30617566"}, {"ref": "significantbutter/tps-sept-using-radial-basis-function-rbf", "kernel_id": "30294716"}, {"ref": "viktortaran/tps-sep-2022", "kernel_id": "30425025"}, {"ref": "kevinmorgado/feature-engineering-book-sales", "kernel_id": "30131015"}, {"ref": "bansodesandeep/credit-card-default-prediction", "kernel_id": "30687381"}, {"ref": "bansodesandeep/netflix-movies-and-tv-shows-clustering", "kernel_id": "30641163"}, {"ref": "bansodesandeep/topic-modeling-with-bert", "kernel_id": "30404736"}, {"ref": "bansodesandeep/nlp-predicting-sentiment-of-covid-19-tweets", "kernel_id": "30444851"}, {"ref": "rayenghali023/simple-lightgbm-gridsearchcv-cross-val-5-93", "kernel_id": "30056907"}, {"ref": "rayenghali023/lightgbm-model-tuning-using-optuna", "kernel_id": "30837658"}, {"ref": "girishvutukuri/exercise-tabular-playground", "kernel_id": "30659185"}, {"ref": "cbhavik/score-5-14-tps-eda-lgbm-baseline", "kernel_id": "30116553"}, {"ref": "cbhavik/sweetviz-tps-sept-22", "kernel_id": "30495776"}, {"ref": "starship006/september-tabular-playground-series-2022", "kernel_id": "30054261"}, {"ref": "ahndonghoon/my-first-kaggle-submission", "kernel_id": "30273927"}, {"ref": "alexandrkolomijec/tps-september22", "kernel_id": "30143292"}, {"ref": "excitingstuff/8-87-m-a-e", "kernel_id": "30504079"}, {"ref": "deepshikha0105/tabular-playground", "kernel_id": "30460946"}, {"ref": "sahilr05/tabular-playground-series-r2-score-98", "kernel_id": "30089410"}, {"ref": "santiagopedroza/data-analysis-and-entry-september-competition-2022", "kernel_id": "30560855"}, {"ref": "francescoliveras/tps-sep22-en-es", "kernel_id": "30073996"}, {"ref": "erturularslan/tps-2022sep-eda", "kernel_id": "30336472"}, {"ref": "tinfufans/sept2022", "kernel_id": "30036239"}, {"ref": "llllllillllilll/notebooka1e6ce774f", "kernel_id": "30249123"}, {"ref": "efaniorimutembo/xgboost-approach", "kernel_id": "30244689"}, {"ref": "lucaverderio/tps-kaggle-merchandise-stores-tensorflow", "kernel_id": "30775558"}, {"ref": "mamiglia/tps-09-22", "kernel_id": "30050934"}, {"ref": "alvinleenh/tpssep22-ensemble-model-ctb-xgb-lgb", "kernel_id": "30078100"}, {"ref": "mikita1580/tabular-playground-sep-nn", "kernel_id": "30816169"}, {"ref": "mikita1580/tabular-playground-sep-lama", "kernel_id": "30039983"}, {"ref": "msayak/tps-sep22-lr-ridge", "kernel_id": "30650960"}, {"ref": "blalbora/linear-reg-beg", "kernel_id": "30158691"}, {"ref": "escasinas/eda-tps-september-2022", "kernel_id": "30331281"}, {"ref": "janoliver/tps-sep-22-lstm-dnn-with-tensorflow", "kernel_id": "30593320"}, {"ref": "sirishakls/statistics-and-linear-regression", "kernel_id": "30195640"}, {"ref": "romankuliievych/tabular-playground-series-sep-2022", "kernel_id": "30076849"}, {"ref": "re22an/predict-book-sales-2021-tps-sep-2022", "kernel_id": "30796162"}, {"ref": "vladislavleonov/disaggregate-forecast-cabaxiom-fork", "kernel_id": "30293011"}, {"ref": "peterstegarus/tps-sep-22", "kernel_id": "30963001"}, {"ref": "ahmetemrebelge/lstm-and-adjusting-batch-size-epoch-num", "kernel_id": "30106558"}, {"ref": "yessicaangulolen/notebook-tps-september-ipynb", "kernel_id": "30648811"}, {"ref": "rizkia14/a-complete-guide-to-k-nearest-neighbours", "kernel_id": "30958103"}, {"ref": "deokmoonkang/tabular-2022-sep", "kernel_id": "30419006"}, {"ref": "baharadanr/notebook0338260bf1", "kernel_id": "30797343"}, {"ref": "hangsu2022/tabular-playground-series-sep-catbooster", "kernel_id": "30798787"}, {"ref": "elem3ntary/tps-september", "kernel_id": "31422701"}, {"ref": "hikmatullahmohammadi/playground-sep-2022-step-by-step", "kernel_id": "31189699"}, {"ref": "elitea92/notebook-team-gmlboot-albertolou", "kernel_id": "31088659"}, {"ref": "snehangsude/tps-sep-2022", "kernel_id": "31410746"}, {"ref": "jnavio/notebook-september", "kernel_id": "32065387"}, {"ref": "tetsutani/tps-sep-2022-lightgbm-cross-validation-optuna", "kernel_id": "32986183"}, {"ref": "daromo/notebook-tabular-playground-series-sep-2022", "kernel_id": "32101767"}, {"ref": "andresfelipeospina/notebook-kaggle", "kernel_id": "32102049"}, {"ref": "tmj1432/tabular-playground-series-sep-2022", "kernel_id": "32936084"}, {"ref": "prem00/tp-sept2022-decision-tree", "kernel_id": "33736521"}, {"ref": "cid007/tps-sept-baseline-model", "kernel_id": "33252352"}, {"ref": "abdul1232/time-series-tps-eda-xgb-simplified", "kernel_id": "33068283"}, {"ref": "snehangsude/tps-sep-2022-4c39d9", "kernel_id": "34097478"}, {"ref": "develuse/scalecast-lstm-time-series-forecasting", "kernel_id": "35622275"}, {"ref": "mpwolke/lofo-importance", "kernel_id": "40979824"}, {"ref": "eslamfouad/statistics-behind-forecasting-models", "kernel_id": "40320782"}, {"ref": "priv375/eda-tps-s3e19", "kernel_id": "41025393"}, {"ref": "talhanazir168/time-series-tps-eda-xgb-simplified", "kernel_id": "43044489"}, {"ref": "edolele/tyclass-7-1-temporal-fusion-transformer", "kernel_id": "49091274"}, {"ref": "brmil07/time-series-forecasting", "kernel_id": "49396984"}, {"ref": "zahidmughal2343/time-series-tps-eda-xgb-simplified", "kernel_id": "50700837"}, {"ref": "galaxyau18/notebooktabular", "kernel_id": "85941604"}, {"ref": "tanakashinnosuke/notebook4a91e06516", "kernel_id": "86382051"}, {"ref": "jackouhai/n-beats-dnn-for-univariate-time-series-forecast", "kernel_id": "96361255"}, {"ref": "dunghoangzzz/n-beats-dnn-for-univariate-time-series-forecast", "kernel_id": "96357732"}, {"ref": "hoangthaiduongk18hl/n-beats-dnn-for-univariate-time-series-forecast", "kernel_id": "96666311"}, {"ref": "trantuananhk18hl/slot-15", "kernel_id": "98803003"}]}
{"competition_id": "33110", "kernels": [{"ref": "aklimarimi/regression-a-handbook-let-s-buy-a-house", "kernel_id": "29970778"}, {"ref": "bansodesandeep/frequently-asked-python-coding-qs-in-ds-interview", "kernel_id": "29896755"}, {"ref": "alvinleenh/6-basic-feature-selection-techniques", "kernel_id": "29878923"}, {"ref": "paddykb/tps-2022-10-fastai", "kernel_id": "30931302"}, {"ref": "stautxie/tabular-playground-oct-2022-ensemble", "kernel_id": "30883705"}, {"ref": "stautxie/tp-oct-2022-lightgbm", "kernel_id": "30878854"}, {"ref": "stautxie/tabular-playground-oct-2022-tabnet", "kernel_id": "30877709"}, {"ref": "stautxie/tabular-playground-oct-2022-catboost", "kernel_id": "30875174"}, {"ref": "stautxie/tabular-playground-oct-2022-baseline", "kernel_id": "30859167"}, {"ref": "stautxie/tabular-challenge-oct-2022-eda", "kernel_id": "30852963"}, {"ref": "nigelhenry/are-teams-a-and-b-symmetric", "kernel_id": "30889272"}, {"ref": "nigelhenry/single-feature-baseline", "kernel_id": "30844212"}, {"ref": "thesarfaraz/convert-to-parquet", "kernel_id": "30893280"}, {"ref": "ryancaldwell/cnn-predict-next-frame", "kernel_id": "30931621"}, {"ref": "cv13j0/tps-oct22-gbdt-classifier", "kernel_id": "30854503"}, {"ref": "cv13j0/tps-oct22-sequential-dataset-loader", "kernel_id": "30839860"}, {"ref": "aliphya/understanding-the-rocket-league-data", "kernel_id": "30971270"}, {"ref": "senkmp/tps-oct22-load-entire-data-in-just-24-seconds", "kernel_id": "30849768"}, {"ref": "docxian/tps-2022-oct-detailed-exploration", "kernel_id": "30847306"}, {"ref": "slythe/tps-oct22-continuous-learning-merged-targets", "kernel_id": "30891081"}, {"ref": "slythe/tps-oct-22-eda-of-rocket-league", "kernel_id": "30889964"}, {"ref": "slythe/tps-oct-22-cv-baseline", "kernel_id": "30924419"}, {"ref": "kojimar/scoring-1st-submission", "kernel_id": "30841899"}, {"ref": "infrarosso/tps-oct-2022-eda-hybrid-model-ensemble", "kernel_id": "30845000"}, {"ref": "infrarosso/automl-autoviz-pycaret", "kernel_id": "30866474"}, {"ref": "gazu468/tps-oct-22-stratifiedgroupkfold-and-xgboost", "kernel_id": "30848620"}, {"ref": "gazu468/feather-to-compress-your-data-8x-faster", "kernel_id": "30842745"}, {"ref": "hsuyab/fast-loading-high-compression-with-feather", "kernel_id": "30844085"}, {"ref": "stpeteishii/tps1022-game-animation-sample", "kernel_id": "30849148"}, {"ref": "mpwolke/rocket-loss-league-cosplay", "kernel_id": "30857402"}, {"ref": "jcaliz/tps-oct22-eda-baseline", "kernel_id": "30842880"}, {"ref": "princeneo/tabular-series-oct-2022", "kernel_id": "30880382"}, {"ref": "bayremabdellaoui/xgboost-feat-engineering", "kernel_id": "30921781"}, {"ref": "jbomitchell/rocket-league-boltzmann-ensemble", "kernel_id": "30878790"}, {"ref": "mukaseevru/tps-oct-22-lama-lightautoml-fe-sampling", "kernel_id": "30857776"}, {"ref": "justinauyeung/tab-challenge-oct22-pca-scree-plot", "kernel_id": "30862372"}, {"ref": "aatiffraz/prediction-by-simulation-lets-play-rocket-league", "kernel_id": "30861812"}, {"ref": "danbouchard/oct-22-playground", "kernel_id": "30854717"}, {"ref": "marcuspop/catboost-classifier-incremental-learning-feather", "kernel_id": "30856245"}, {"ref": "tueda80/loading-csv-files-by-pyarrow-3x-speedup", "kernel_id": "30849934"}, {"ref": "landfallmotto/tps-oct-22-continue-training-method-lightgbm", "kernel_id": "30867359"}, {"ref": "chazzer/rocket-league-xgboost-feat-engineering-cv", "kernel_id": "30892023"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-linear-regression", "kernel_id": "30877457"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "tracyporter/oct-22-tabular", "kernel_id": "30844470"}, {"ref": "tracyporter/oct-22-tabular-simple-lgbm", "kernel_id": "30857089"}, {"ref": "reymaster/compress-files-parquet-7x-loading-speedup", "kernel_id": "30839944"}, {"ref": "ivanrep/october-2022-tps-eda", "kernel_id": "30855425"}, {"ref": "toniju98/rocketleague", "kernel_id": "30873764"}, {"ref": "pietromaldini1/tps-2022-10-fastai-proof-of-concept-new-features", "kernel_id": "30992151"}, {"ref": "michaeljosephholt/null-information-guess", "kernel_id": "30932107"}, {"ref": "mohamedmagdy11/tps-oct-22-rocket-league-game", "kernel_id": "30847733"}, {"ref": "sergiosaharovskiy/tps-oct-2022-viz-players-positions-animated", "kernel_id": "30861685"}, {"ref": "michaelgwinn/oct-22-tps-simple-baseline-with-xgboost", "kernel_id": "30840825"}, {"ref": "casati8/kaggle-tps-2022-oct-fastai", "kernel_id": "30874517"}, {"ref": "akshaydattatraykhare/tabular-playground-series-submission", "kernel_id": "30844223"}, {"ref": "wasshoiwasshoi/2022-tps-oct-interactive-graph-of-players-motion", "kernel_id": "30839475"}, {"ref": "ahmedelfazouan/tabular-playground-catb-inference", "kernel_id": "30902278"}, {"ref": "barbagrande007/bbg007-tps-oct", "kernel_id": "30965467"}, {"ref": "act18l/all-data-pca-mean-impute-logisticregression", "kernel_id": "30861504"}, {"ref": "mahdeemushfiquekamal/extrapolating-distances-and-analyzing-them", "kernel_id": "30839118"}, {"ref": "satyaprakashshukl/modin-lib-to-load-data-faster", "kernel_id": "30842231"}, {"ref": "satyaprakashshukl/3d-plots-for-visualization", "kernel_id": "30841940"}, {"ref": "satyaprakashshukl/tps-oct-2022-eda", "kernel_id": "30839894"}, {"ref": "hosseinbehjat/simple-lgbm-for-beginners-tpsoct2022", "kernel_id": "30872464"}, {"ref": "itspavansatish/3-85gb-tps-oct-2022-pickle-dataset", "kernel_id": "30849318"}, {"ref": "sfktrkl/tps-oct-2022", "kernel_id": "30857625"}, {"ref": "samuelcortinhas/tps-oct-22-baseline", "kernel_id": "30875169"}, {"ref": "samuelcortinhas/tps-oct-22-rocket-league-eda", "kernel_id": "30892765"}, {"ref": "imnaho/tps-oct", "kernel_id": "30894752"}, {"ref": "demko1/tps-2022-oct-trigonometry-in-action", "kernel_id": "30929487"}, {"ref": "demko1/tps-2022-oct-parquet-compressed-dataset", "kernel_id": "30849878"}, {"ref": "mustafakeser4/tps-oct22", "kernel_id": "30851498"}, {"ref": "abhishek123maurya/score-prediction-using-neural-networks", "kernel_id": "30943909"}, {"ref": "ritrex/import-in-pandas", "kernel_id": "30846016"}, {"ref": "atrijtalgery/tps10-22-memory-frugal-eda-prediction", "kernel_id": "30974644"}, {"ref": "mattop/rocket-league-tps-eda", "kernel_id": "30839095"}, {"ref": "significantbutter/where-are-attackers-defenders-before-goals", "kernel_id": "30880094"}, {"ref": "significantbutter/visualizing-where-goals-occur-from", "kernel_id": "30863805"}, {"ref": "alexandershumilin/tps-oct-2022-simple-keras-nn", "kernel_id": "30849085"}, {"ref": "bansodesandeep/ml-advanced-ensemble-techniques-stacking-bagging", "kernel_id": "30041695"}, {"ref": "spyrow/playground-oct-2022-lgbmclassifier", "kernel_id": "30891052"}, {"ref": "hikarutabata/train-infer-simple-lgbm", "kernel_id": "30845955"}, {"ref": "llllllillllilll/notebookb1fd8f8150", "kernel_id": "30979939"}, {"ref": "alvinleenh/tpsoct22-imbalance-dataset-with-4-techniques", "kernel_id": "30970550"}, {"ref": "alvinleenh/tpsoct22-ctb-online-learning", "kernel_id": "30863961"}, {"ref": "msayak/tps-oct-22-lgbm-continuous-learning", "kernel_id": "30871715"}, {"ref": "janoliver/tps-oct-22-shap-eda-pca-xgb", "kernel_id": "30945449"}, {"ref": "aieducation/tps-oct-eda-lightgbm", "kernel_id": "30889276"}, {"ref": "stark0509/tabular-oct", "kernel_id": "30966752"}, {"ref": "alexryzhkov/tps-2022-10-fastai-with-multistart-and-tta", "kernel_id": "31104158"}, {"ref": "alexryzhkov/how-to-kill-all-your-efforts", "kernel_id": "31601332"}, {"ref": "alexryzhkov/calibration-is-all-you-need", "kernel_id": "31662980"}, {"ref": "paddykb/tps-2022-10-r-gam-probability-surface", "kernel_id": "31057890"}, {"ref": "jebema/notebookedb34b052a", "kernel_id": "31749410"}, {"ref": "cv13j0/a-simple-keras-model", "kernel_id": "31073678"}, {"ref": "davidhguerrero/tps1022-hgbregressor-with-optuna", "kernel_id": "31506305"}, {"ref": "israel777/notebook85c384be38", "kernel_id": "31284921"}, {"ref": "slythe/tps-oct22-keras-neural-network-functional-api", "kernel_id": "31222170"}, {"ref": "tawejssh/tps-october-2022-eda-lightgbm", "kernel_id": "31036763"}, {"ref": "eavelardev/tps-oct-2022-simple-tf", "kernel_id": "31478789"}, {"ref": "cristiansanabria/data-shuffled-and-split-in-10-feather-files", "kernel_id": "31060180"}, {"ref": "cristiansanabria/lgbm-fe-incremental-learning-tps-oct-2022", "kernel_id": "31589988"}, {"ref": "mateuscco/voronoi-diagrams-computing-player-s-influence", "kernel_id": "31600182"}, {"ref": "dster/rocket-league-tps-preprocessing", "kernel_id": "31984193"}, {"ref": "craigmthomas/tps-oct-2022-eda-simple-models", "kernel_id": "31112581"}, {"ref": "fiorellatp/lightgbm", "kernel_id": "31518090"}, {"ref": "jrreda/tps-oct-2022-21-million-rows-lightgbm", "kernel_id": "31587446"}, {"ref": "ranjii/tps-oct-v1", "kernel_id": "31664910"}, {"ref": "kesavsivakumar/select20best-features-stacked-catboost", "kernel_id": "31593544"}, {"ref": "sgduran/rocket-league", "kernel_id": "31097685"}, {"ref": "e0xextazy/tps-2022-10-ensemble", "kernel_id": "31005759"}, {"ref": "niramay/october-tabular-playground", "kernel_id": "31059252"}, {"ref": "donatoriccio/how-to-load-21m-rows-in-1-minute-using-2-lines", "kernel_id": "31450508"}, {"ref": "donatoriccio/understanding-the-data-why-you-need-groupkfold", "kernel_id": "31474138"}, {"ref": "saraswatitiwari/tps-oct-2022-featuring-rocket-league", "kernel_id": "31485311"}, {"ref": "saraswatitiwari/tps-oct-2022", "kernel_id": "31393420"}, {"ref": "jbomitchell/rocket-probe", "kernel_id": "31623553"}, {"ref": "jbomitchell/mean-probabilities-from-training-data", "kernel_id": "31732097"}, {"ref": "aatiffraz/episodification-of-the-test-dataset", "kernel_id": "31033655"}, {"ref": "aatiffraz/tps-oct22-0-206-k-nearest-neighbors-on-gpu", "kernel_id": "31208533"}, {"ref": "aatiffraz/sorting-players-positions", "kernel_id": "31320043"}, {"ref": "chazzer/ensemble-learning-rocket-league-lb-0-196", "kernel_id": "31107376"}, {"ref": "pietromaldini1/tpu-tabular-dataset-starter", "kernel_id": "31413839"}, {"ref": "pietromaldini1/generate-tfrecords-dataset", "kernel_id": "31398376"}, {"ref": "pietromaldini1/tpu-reconstruction-network", "kernel_id": "31775092"}, {"ref": "arturogranados/dnn-for-tabular-playground-series-oct-2022", "kernel_id": "31871673"}, {"ref": "syedasimalishah/eda-in-2-lines-of-code", "kernel_id": "31483898"}, {"ref": "syedasimalishah/saving-memory", "kernel_id": "31083212"}, {"ref": "syedasimalishah/saving-memory-for-large-datasets", "kernel_id": "31077311"}, {"ref": "syedasimalishah/pyspark-tutorial", "kernel_id": "31054000"}, {"ref": "syedasimalishah/simple-approach", "kernel_id": "31029683"}, {"ref": "syedasimalishah/plotly-tutorial", "kernel_id": "31113333"}, {"ref": "syedasimalishah/exploring-scipy", "kernel_id": "31212271"}, {"ref": "syedasimalishah/scipy-summed-up", "kernel_id": "31207433"}, {"ref": "syedasimalishah/running-pandas-on-gpu", "kernel_id": "31551359"}, {"ref": "casati8/kaggle-tps-2022-oct-fastai-iterative", "kernel_id": "31123573"}, {"ref": "luisamnh27/tabular-2022-rocket-league", "kernel_id": "31566972"}, {"ref": "robertbarak/rocket-league", "kernel_id": "31641274"}, {"ref": "ioanatiriac/oct-22-tabular-simple-lgbm-merge-train-sets", "kernel_id": "31605865"}, {"ref": "hugolearn/tps-oct-practice", "kernel_id": "31238435"}, {"ref": "wasshoiwasshoi/2022-tps-oct-simple-downsampling-lightgbm-baseline", "kernel_id": "31054953"}, {"ref": "hiroshishibata/rocket-league-xgboost-feat-engineering-cv", "kernel_id": "31088235"}, {"ref": "m1y7k8/tps-oct-2022-eda-lgbm-part1", "kernel_id": "31144982"}, {"ref": "m1y7k8/tps-oct-2022-eda-lgbm-part2", "kernel_id": "31286042"}, {"ref": "m1y7k8/tps-oct-2022-eda-lgbm-part3", "kernel_id": "31814525"}, {"ref": "dcrowd/tpa-oct-eda", "kernel_id": "31304298"}, {"ref": "iancastillo/a-visual-follow-up-to-ball-position-before-scoring", "kernel_id": "31191468"}, {"ref": "iancastillo/understanding-the-challenge-and-data", "kernel_id": "31069315"}, {"ref": "fabianbong/tps-october-2022-keras-tf-neural-network", "kernel_id": "31145368"}, {"ref": "ismaelalpaso/rocket-league-3d-representation-v1", "kernel_id": "31010030"}, {"ref": "kipngetichv/xgboost-on-gpu", "kernel_id": "31418653"}, {"ref": "ehekatlact/tps2210-pytorch-lightning-iterabledataset", "kernel_id": "31025958"}, {"ref": "shoooono/oct2022-feature-engineering", "kernel_id": "31079580"}, {"ref": "shoooono/oct2022-feature-engineering-lightbgm", "kernel_id": "31239328"}, {"ref": "shoooono/tpsoct2022-fe-lightbgm", "kernel_id": "31621346"}, {"ref": "mashimamaruyo/notebook92f5173ee6", "kernel_id": "31381661"}, {"ref": "dariopaez/tps-oct22-dataset-first-impressions", "kernel_id": "31401796"}, {"ref": "dariopaez/tps-oct22-data-compression-and-fe", "kernel_id": "31773154"}, {"ref": "dariopaez/tps-oct22-final-submission", "kernel_id": "31773986"}, {"ref": "shariful07/tps-oct-2022-eda-and-ensemble-hybrid-model", "kernel_id": "31261162"}, {"ref": "alexandershumilin/tps-oct-2022-with-lgbm", "kernel_id": "31114516"}, {"ref": "alexandershumilin/tps-oct-2022-with-catboost-pca", "kernel_id": "31208678"}, {"ref": "viktortaran/tps-nov-2022", "kernel_id": "31894739"}, {"ref": "viktortaran/tps-oct-2022", "kernel_id": "31061145"}, {"ref": "majkaf/tbs-oct22-rocket-league-sgd-mini-batch-learning", "kernel_id": "31684898"}, {"ref": "majkaf/tbs-oct-2022-rocket-league", "kernel_id": "31599510"}, {"ref": "vasilikigeorgali/tps-oct22-data-exploration-and-simple-dnn", "kernel_id": "31500920"}, {"ref": "karimrd/tabular-oct-2022-my-second-attempt", "kernel_id": "31138960"}, {"ref": "sebastiangonzaleza98/tps-oct-2022-dl", "kernel_id": "31138186"}, {"ref": "josmejagamarra/tps-oct-22-personal-subm", "kernel_id": "31835111"}, {"ref": "josmejagamarra/tps-oct-22-personal-datasets", "kernel_id": "31747556"}, {"ref": "tompaulat/can-a-graph-help-classify-player-data", "kernel_id": "31456679"}, {"ref": "ahmeturunveren/tabular-playground-series-continues", "kernel_id": "31539844"}, {"ref": "llllllillllilll/notebook98c1412075", "kernel_id": "31257589"}, {"ref": "llllllillllilll/notebookbfa10933e0", "kernel_id": "31443206"}, {"ref": "alvinleenh/tpsoct22-test-dataset-baseline-logloss-0-2254", "kernel_id": "31033547"}, {"ref": "tobetek/tps-oct-22-eda-tensorflow-and-a-bit-of", "kernel_id": "31799056"}, {"ref": "lijdfafjoisdfj/oct2022-feature-engineering-lightbgm", "kernel_id": "31400473"}, {"ref": "alankcchik/kaggle-tps-oct-2022", "kernel_id": "31803899"}, {"ref": "kibares/fine-tuning-xgboost-feat-engineering-cv", "kernel_id": "31563919"}, {"ref": "fernandocossio/tf-decision-trees", "kernel_id": "31590400"}, {"ref": "robinbarbarino/lgbm-feature-engineering-and-feature-importance", "kernel_id": "31628702"}, {"ref": "codshashank/logistic-regression", "kernel_id": "31245437"}, {"ref": "dster/rocket-league-tps-host-solution", "kernel_id": "32072179"}, {"ref": "prem113/tps-oct-2022", "kernel_id": "32222446"}]}
{"competition_id": "33111", "kernels": [{"ref": "infrarosso/automl-autoviz-pycaret", "kernel_id": "30866474"}, {"ref": "alexryzhkov/mixup-data-augmentation-with-lama-and-nn", "kernel_id": "31999546"}, {"ref": "alexryzhkov/example-for-grayjay", "kernel_id": "31939345"}, {"ref": "alexryzhkov/lightautoml-stacks-your-subs", "kernel_id": "31889150"}, {"ref": "alexryzhkov/5k-features-not-a-problem-for-lightautoml", "kernel_id": "31906848"}, {"ref": "inversion/simple-blending-example", "kernel_id": "31878015"}, {"ref": "phongnguyen1/blending-models", "kernel_id": "31904226"}, {"ref": "phongnguyen1/analyze-visualize-submissions", "kernel_id": "31893922"}, {"ref": "adaubas/tpsnov2022-cv-0-521-features-selection", "kernel_id": "31958852"}, {"ref": "grayjay/blending-vs-stacking", "kernel_id": "31941279"}, {"ref": "senkmp/tsne-umap-on-tps-nov22-interesting-data-viz", "kernel_id": "31887028"}, {"ref": "maheswarareddyp/play-ground-nov2022", "kernel_id": "31902964"}, {"ref": "slythe/lightgbm-template-meta-modelling", "kernel_id": "31927232"}, {"ref": "slythe/xgboost-template-meta-modelling", "kernel_id": "31956846"}, {"ref": "oscarm524/tps-nov-2022-fs-baseline", "kernel_id": "31894249"}, {"ref": "infrarosso/tps-nov-2022-eda-hybrid-stacking", "kernel_id": "31887895"}, {"ref": "craigmthomas/tps-nov-2022-catboost-starter", "kernel_id": "31897207"}, {"ref": "stpeteishii/tps1122-select-2-optuna-blend", "kernel_id": "31991760"}, {"ref": "mmellinger66/tps-nov-22-eda-models", "kernel_id": "31898783"}, {"ref": "mikhailkuz/lightautoml-nn-happiness", "kernel_id": "31967084"}, {"ref": "takanashihumbert/two-constant-predictions-in-files", "kernel_id": "31903773"}, {"ref": "takanashihumbert/drop-4000-features-lb-0-51530", "kernel_id": "31914464"}, {"ref": "jcaliz/tps-nov22-quickstart-eda-baseline", "kernel_id": "31879666"}, {"ref": "jaloeffe92/tps-nov-2022-lgb-pipeline", "kernel_id": "31903752"}, {"ref": "jaloeffe92/tps-nov-2022-train-data-creation", "kernel_id": "31940603"}, {"ref": "meetshah96/tps-nov22-new-tps-new-quickstart-eda-baseline", "kernel_id": "31918142"}, {"ref": "hasanbasriakcay/tpsnov22-mean-methods-comparisons", "kernel_id": "31888043"}, {"ref": "hasanbasriakcay/tpsnov22-pseudo-labels-lgbm-xgb-lb-0-514", "kernel_id": "31960158"}, {"ref": "dineshydv/logistic-regression-with-hyperparameter-tuning", "kernel_id": "31998001"}, {"ref": "donatoriccio/tps-nov22-lgbm-w-binarized-features", "kernel_id": "31941230"}, {"ref": "prajwalsood/keras-transformer", "kernel_id": "31998576"}, {"ref": "jamiedonaldmccann/icg-dsc-tbs1122", "kernel_id": "31891514"}, {"ref": "mariangelreyes/kaggle-november-ipynb", "kernel_id": "31910919"}, {"ref": "colemankrawczyk/explore-blending-data", "kernel_id": "31890696"}, {"ref": "sayantansadhu/blend-of-all-submission-file", "kernel_id": "31881839"}, {"ref": "chazzer/top-performers-pca-cv-xgb-stacking", "kernel_id": "31926809"}, {"ref": "tracyporter/nov-22-stacking", "kernel_id": "31895554"}, {"ref": "tracyporter/nov-22-blending", "kernel_id": "31888182"}, {"ref": "griffenthoma/tps-nov-22-first-steps", "kernel_id": "31906189"}, {"ref": "albertventura/tpsnov-l1-regularization-for-feature-selection", "kernel_id": "31901464"}, {"ref": "teckmengwong/tps22novdummy", "kernel_id": "31995620"}, {"ref": "pourchot/stacking-with-scipy-minimize", "kernel_id": "31902002"}, {"ref": "georgedwatson/tabular-playground-series-nov-2022", "kernel_id": "31978526"}, {"ref": "giancarlomarcolin/tps-nov22-gm", "kernel_id": "31957423"}, {"ref": "syedasimalishah/using-ann-tps-nov-2022", "kernel_id": "31884065"}, {"ref": "syedasimalishah/what-s-going-on", "kernel_id": "31880717"}, {"ref": "jasonczh/tps-nov22-lgbm-simple-feature-engineering-baseline", "kernel_id": "31888787"}, {"ref": "ambrosm/tpsnov22-eda-which-makes-sense", "kernel_id": "31879873"}, {"ref": "barbagrande007/bbg-007-tp-nov", "kernel_id": "31911922"}, {"ref": "satyaprakashshukl/fast-loading-high-compression-with-feather", "kernel_id": "31880334"}, {"ref": "satyaprakashshukl/tps-november-eda", "kernel_id": "31973992"}, {"ref": "satyaprakashshukl/merge-submission-file-in-single-csv", "kernel_id": "31967321"}, {"ref": "afsheinkeshmiri/tabular-playground-nov-2022", "kernel_id": "31886807"}, {"ref": "hosseinbehjat/simple-lgbm-for-beginners-tpsnov2022", "kernel_id": "31938162"}, {"ref": "hosseinbehjat/pytorch-optimization-using-optuna-tps-nov-2022", "kernel_id": "31995449"}, {"ref": "davidfmora/tpsnov22-isotonic-calibration-lgbmclassifier", "kernel_id": "31915785"}, {"ref": "samuelcortinhas/tps-nov-22-save-to-parquet", "kernel_id": "31908418"}, {"ref": "samuelcortinhas/tps-nov-22-blending-predictions-with-nn", "kernel_id": "31962770"}, {"ref": "demko1/tps-nov-2022-handling-incorrect-values", "kernel_id": "31895645"}, {"ref": "ehekatlact/tps2211-use-top100", "kernel_id": "31879583"}, {"ref": "ehekatlact/tps2211-heapquetournament-lgbm", "kernel_id": "31897231"}, {"ref": "alexandershumilin/tps-nov-2022-simple-baseline", "kernel_id": "31880098"}, {"ref": "alexandershumilin/tps-nov-2022-simple-keras-model-pca", "kernel_id": "31916851"}, {"ref": "alexandershumilin/tps-nov-2022-catboost", "kernel_id": "31952442"}, {"ref": "viktortaran/tps-nov-2022", "kernel_id": "31894739"}, {"ref": "majkaf/tbs-nov22-pca-clf-models", "kernel_id": "31906173"}, {"ref": "llllllillllilll/notebookf0ddc6e3c5", "kernel_id": "31989906"}, {"ref": "robinbarbarino/linear-combinations-of-submissions", "kernel_id": "31901844"}, {"ref": "alexryzhkov/sergey-and-alex-combo", "kernel_id": "32136689"}, {"ref": "alexryzhkov/multistart-nns-with-lightautoml", "kernel_id": "32240591"}, {"ref": "alexryzhkov/boltzmann-ensemble-for-tps-nov-22", "kernel_id": "32206793"}, {"ref": "alexryzhkov/pseudolabelling-example", "kernel_id": "32014743"}, {"ref": "parijatkumar2003/nov-22-playground", "kernel_id": "32493509"}, {"ref": "adaubas/tpsnov2022-adversarial-validation", "kernel_id": "32003069"}, {"ref": "cv13j0/nn-gbdt-models", "kernel_id": "32539553"}, {"ref": "cv13j0/tps-nov2022-fast-ai-model", "kernel_id": "32040389"}, {"ref": "cv13j0/tps-nov2022-beginner-lr-to-gdbt", "kernel_id": "32014520"}, {"ref": "mpware/tps-catboost-fe", "kernel_id": "32231251"}, {"ref": "mpware/tps-null-importances-fe", "kernel_id": "32228058"}, {"ref": "shudhatmajain/complete-data-collation-to-single-dataframe", "kernel_id": "32288701"}, {"ref": "rogeriodelfim/tps-nov-2022-02-feature-engineering-0-51408", "kernel_id": "32539721"}, {"ref": "rogeriodelfim/tps-nov-2022-01-eda-baseline", "kernel_id": "32270402"}, {"ref": "jufu11/hyperopt-logreg-xgboost-w-feat-select-calibrate", "kernel_id": "32894121"}, {"ref": "eduus710/tps-nov22-saved-logit-shift-calibrations", "kernel_id": "32101686"}, {"ref": "davidhguerrero/feature-importance-with-lgbmclassifier", "kernel_id": "32643038"}, {"ref": "nnjjpp/stacking-with-pca-and-a-logistic-regression", "kernel_id": "32083865"}, {"ref": "slythe/lightgbm-xgboost-tps-nov22", "kernel_id": "32029665"}, {"ref": "slythe/neural-network-template-meta-modelling", "kernel_id": "32151982"}, {"ref": "slythe/tabnet-template-meta-modelling", "kernel_id": "32160121"}, {"ref": "slythe/autogluon-template-meta-modelling", "kernel_id": "32348272"}, {"ref": "slythe/stacked-modelling-2-level-tps-nov-22", "kernel_id": "32440958"}, {"ref": "slythe/post-ensembling-hill-climbing-weighted-scipy", "kernel_id": "32421844"}, {"ref": "cristiansanabria/tps1122-2nd-place-lgbm", "kernel_id": "32909932"}, {"ref": "infrarosso/tps-nov-2022-adversarial-validation", "kernel_id": "32419391"}, {"ref": "craigmthomas/tps-nov-2022-umap-catboost", "kernel_id": "32044608"}, {"ref": "alexandervc/mmscel-blend-analysis", "kernel_id": "32332677"}, {"ref": "stpeteishii/tps1122-lgbm-predict-and-visualize-importance", "kernel_id": "32061916"}, {"ref": "stpeteishii/tps1122-fastai-with-tabularpandas", "kernel_id": "32074426"}, {"ref": "sgduran/tps-nov-2022-simple-nn-for-blending-prediction", "kernel_id": "32134931"}, {"ref": "adnanshikh/tps-nov22-hybrid-stacking", "kernel_id": "32740267"}, {"ref": "jaloeffe92/tps-nov-2022-automl-blending", "kernel_id": "32729656"}, {"ref": "saraswatitiwari/tps-nov-22", "kernel_id": "32220477"}, {"ref": "saraswatitiwari/nov-2022-tps", "kernel_id": "32390872"}, {"ref": "saraswatitiwari/tabular-playground-series-nov-2022", "kernel_id": "32353313"}, {"ref": "lucasmorin/tps-nov-2022-umap-model-embedding", "kernel_id": "32058764"}, {"ref": "carlosprez/tps-nov-2022-carlos-p-rez", "kernel_id": "32014077"}, {"ref": "mehrankazeminia/1-tps22nov-pseudo-genetic-algorithm", "kernel_id": "32663948"}, {"ref": "sanjaylalwani/tps-nov-22", "kernel_id": "32001744"}, {"ref": "simonedegasperis/weighted-average-xgb-nn", "kernel_id": "32650945"}, {"ref": "simonedegasperis/ensemble-selection", "kernel_id": "32540080"}, {"ref": "tonantzinrealrojas/optuna-and-lightgbm", "kernel_id": "32048139"}, {"ref": "tracygranados/notebookbcc2d17e9b", "kernel_id": "32220985"}, {"ref": "mikhaildonskoy/just-joining-all-files", "kernel_id": "32649749"}, {"ref": "mikhaildonskoy/iterate-over-main-ml-models", "kernel_id": "32766812"}, {"ref": "mikhaildonskoy/adversarial-learning-nov-2022", "kernel_id": "32773627"}, {"ref": "mikhaildonskoy/just-take-logisticregression-with-l1", "kernel_id": "32729749"}, {"ref": "mikhaildonskoy/average-time", "kernel_id": "32732178"}, {"ref": "mvortizr/nov-22-tps-eda-lightgbm", "kernel_id": "32107147"}, {"ref": "yuseidoi/simple-blending-with-xgboost-and-lightgbm", "kernel_id": "32375615"}, {"ref": "carolinamejamujica/playground-november", "kernel_id": "32102735"}, {"ref": "pietromaldini1/experiments-with-bias", "kernel_id": "32040429"}, {"ref": "pourchot/tps-11-2022-neural-network", "kernel_id": "32172781"}, {"ref": "sergiosaharovskiy/tps-nov-2022-in-automl-we-trust", "kernel_id": "32000386"}, {"ref": "giancarlomarcolin/tps-nov22-lgbm", "kernel_id": "32587187"}, {"ref": "pohzixiang/nov-playground-submission-zx", "kernel_id": "32659548"}, {"ref": "thierryneusius/tps-202211-pls-da-and-logisticregression-model", "kernel_id": "32201438"}, {"ref": "arturogranados/nn-for-tabularplaygroundseries-nov-2022", "kernel_id": "32808767"}, {"ref": "matinkarimpour/tps-nov-2022-conv1d-keras-and-kfold", "kernel_id": "32384400"}, {"ref": "bennyfung/tps-nov-pca-xgboost", "kernel_id": "32260445"}, {"ref": "bennyfung/tps-nov-ensemble-by-voting", "kernel_id": "32037437"}, {"ref": "mridulsyed/tbs-nov-2022", "kernel_id": "32357428"}, {"ref": "casati8/kaggle-tps-2022-nov-fastai", "kernel_id": "32064714"}, {"ref": "askeeee/lgbm-base-line-tps-nov-2022", "kernel_id": "32470285"}, {"ref": "minhduc123/simple-blending", "kernel_id": "32452257"}, {"ref": "hugolearn/tps-nov-practice-ensemble-learning", "kernel_id": "32250561"}, {"ref": "sreevaatsavbavana/blending-eda-and-calibration", "kernel_id": "32250492"}, {"ref": "ridamahmood005/tps-nov-22-ensemble", "kernel_id": "32761259"}, {"ref": "jiprud/tps-nov-22-rookie-submission-xgboost", "kernel_id": "32070306"}, {"ref": "afsheinkeshmiri/weighted-geom-mean-tabular-playground-nov", "kernel_id": "32065996"}, {"ref": "dhimancreations/tabular-playground-series-nov-2022", "kernel_id": "32846336"}, {"ref": "eduardschipatecua/tpsnov22", "kernel_id": "32135304"}, {"ref": "stephan1999/november-2022-blending", "kernel_id": "32528770"}, {"ref": "analyticsbiotech/simple-ranking-pca-logistic-knn-randomforest", "kernel_id": "32822590"}, {"ref": "analyticsbiotech/simple-pca-logistic-random-forest", "kernel_id": "32782451"}, {"ref": "ehekatlact/tps2211-bootstrap", "kernel_id": "32047978"}, {"ref": "kaggleamror/tpsnov22-testnotebook", "kernel_id": "32802552"}, {"ref": "kaggleamror/tpsnov22-probabilistic-shear", "kernel_id": "32798081"}, {"ref": "leehann/ds-baseline", "kernel_id": "32583621"}, {"ref": "rudeparkeet/simple-blending-example", "kernel_id": "32253100"}, {"ref": "lszlbebesi/an-economic-modeler-s-solution", "kernel_id": "32571766"}, {"ref": "abhishek123maurya/tpsnov-catboost-and-pca", "kernel_id": "32049728"}, {"ref": "piyushjain16/november-challenge", "kernel_id": "32203420"}, {"ref": "bhaktipatil25/tpsnov2022-e", "kernel_id": "32768622"}, {"ref": "leonliur/automl-starter-baseline-0-51772", "kernel_id": "32063806"}, {"ref": "arslanemed/simple-blending-with-xgboost-1st-try", "kernel_id": "32591543"}, {"ref": "francescoliveras/tps-nov-2022-en-es", "kernel_id": "32714532"}, {"ref": "prem113/tps-nov-2022", "kernel_id": "32222901"}, {"ref": "ludelaire/dnn-with-outliers-preprocessing", "kernel_id": "32151606"}, {"ref": "testffffffffffxx44/v5518", "kernel_id": "32776333"}, {"ref": "viliuspstininkas/feature-selection-methods-pca", "kernel_id": "32594989"}, {"ref": "baslealabera/blending-with-convolutional-neural-network", "kernel_id": "32676262"}, {"ref": "tejaslidhure/keras-and-kfold", "kernel_id": "32468457"}, {"ref": "sanandachowdhury/tabular-playground", "kernel_id": "33179574"}, {"ref": "itsawarmeow/warmeow-trial", "kernel_id": "33022631"}, {"ref": "anyakshirsagar/blending-model-prediction", "kernel_id": "33300883"}, {"ref": "zaidbenamar/just-cnn-blending-with-conv1d-layers", "kernel_id": "33335865"}, {"ref": "mehrankazeminia/3-tps22nov-golden-results-knn-lgbm", "kernel_id": "34340185"}, {"ref": "mehrankazeminia/2-tps22nov-results-of-impure-golden-eda", "kernel_id": "34337355"}, {"ref": "yakinoki/tabular-playground-series-nov-2022", "kernel_id": "41765550"}, {"ref": "chhavideora11/done-it", "kernel_id": "51516083"}, {"ref": "hsou31/notebook5c521d1a63", "kernel_id": "85942437"}, {"ref": "cchan33/notebookbb8b1a86db", "kernel_id": "85943328"}, {"ref": "pejon3/notebookc1c933f154", "kernel_id": "85945546"}, {"ref": "lovelyhamchan/notebook0afe76b4dd", "kernel_id": "85942842"}, {"ref": "tuiyin03260/notebook3f58ff32bc", "kernel_id": "86434779"}, {"ref": "tuiyin03260/notebook97d9d61af2", "kernel_id": "87581828"}, {"ref": "fukukawayuu/notebook397680075b", "kernel_id": "87648913"}]}
{"competition_id": "33116", "kernels": [{"ref": "ciy405x/cartesius-transformer", "kernel_id": "22857884"}, {"ref": "nicolasswk/cartesius-transformer", "kernel_id": "22761051"}]}
{"competition_id": "33119", "kernels": [{"ref": "kuantinglai/110-1-dl-app-stock-prediction", "kernel_id": "22677862"}, {"ref": "vaishantmakan/101916054-stock-prediction", "kernel_id": "25352019"}]}
{"competition_id": "33120", "kernels": [{"ref": "lichifang/code-lcf", "kernel_id": "23401812"}]}
{"competition_id": "33122", "kernels": []}
{"competition_id": "33130", "kernels": [{"ref": "viktoriyamamokhina/mamokhina-hw2-texts", "kernel_id": "22925889"}]}
{"competition_id": "33133", "kernels": []}
{"competition_id": "33148", "kernels": []}
{"competition_id": "33151", "kernels": []}
{"competition_id": "33173", "kernels": []}
{"competition_id": "33177", "kernels": []}
{"competition_id": "33182", "kernels": []}
{"competition_id": "33189", "kernels": [{"ref": "homelaptop/team-melliti", "kernel_id": "24077258"}, {"ref": "sarrahannachi/notebook0f637905db", "kernel_id": "24077245"}]}
{"competition_id": "33191", "kernels": []}
{"competition_id": "33192", "kernels": []}
{"competition_id": "33193", "kernels": []}
{"competition_id": "33195", "kernels": []}
{"competition_id": "33197", "kernels": []}
{"competition_id": "33204", "kernels": [{"ref": "komissarix/notebooka637471966", "kernel_id": "95804558"}]}
{"competition_id": "33215", "kernels": []}
{"competition_id": "33221", "kernels": [{"ref": "mrmorj/gornyaki-solution", "kernel_id": "24076182"}, {"ref": "zekamrozek/eda-lgbm-oof", "kernel_id": "24120283"}, {"ref": "yalikesifulei/top-secret-easy-peasy-solution", "kernel_id": "24136079"}]}
{"competition_id": "33226", "kernels": []}
{"competition_id": "33231", "kernels": [{"ref": "zekunn/gnss-classification-visualization", "kernel_id": "25196436"}, {"ref": "zekunn/gnss-classification-lgbm-baseline", "kernel_id": "25175853"}]}
{"competition_id": "33244", "kernels": [{"ref": "evgezoh/notebook7beffdad4a", "kernel_id": "22800913"}]}
{"competition_id": "33245", "kernels": []}
{"competition_id": "33246", "kernels": [{"ref": "gopidurgaprasad/mfcc-feature-extraction-from-audio", "kernel_id": "10173964"}, {"ref": "imeintanis/birdclef-interactive-spectrogram-viewer", "kernel_id": "16038242"}, {"ref": "shreyasajal/audio-albumentations-torchaudio-audiomentations", "kernel_id": "17112339"}, {"ref": "shreyasajal/birdclef-librosa-audio-feature-extraction", "kernel_id": "17042836"}, {"ref": "rajankumar/eda-for-birdclef-2022", "kernel_id": "24940791"}, {"ref": "usharengaraju/tensorflow-maskedautoencoders-w-b", "kernel_id": "24994385"}, {"ref": "robikscube/working-with-audio-in-python", "kernel_id": "24807676"}, {"ref": "robikscube/bird-2022-eda-twitch-live-stream", "kernel_id": "24721642"}, {"ref": "stefankahl/how-to-submit-to-birdclef-2022", "kernel_id": "24702753"}, {"ref": "seshurajup/birdclef-lb-probing", "kernel_id": "24737656"}, {"ref": "atamazian/birdclef-2022-melspectrogram-compute", "kernel_id": "24710491"}, {"ref": "atamazian/birdclef-2022-lightning-model-training", "kernel_id": "24728175"}, {"ref": "julian3833/birdclef-21-2nd-place-model-train-0-66", "kernel_id": "24998507"}, {"ref": "julian3833/audio-101-1-audio-manipulation-musical-notes", "kernel_id": "24747803"}, {"ref": "julian3833/audio-101-2-detailed-eda", "kernel_id": "24767116"}, {"ref": "dkomlen/notebookd5ec53cc0e", "kernel_id": "24736398"}, {"ref": "chiranjeevbit/birdclef-2022-eda-and-identifiaction-of-bird-calls", "kernel_id": "24729941"}, {"ref": "yamanity/compe", "kernel_id": "24805217"}, {"ref": "tattaka/birdclef2022-submission-baseline", "kernel_id": "24734003"}, {"ref": "sharansmenon/birdclef-2022-torchaudio-in-progress", "kernel_id": "24718519"}, {"ref": "redomy/birdclef-2022-spectrum-custom-data-pytorch", "kernel_id": "24988515"}, {"ref": "itamargr/birdclef2022-eda", "kernel_id": "24908520"}, {"ref": "alexteboul/tutorial-play-bird-audio-on-map-with-folium", "kernel_id": "24770665"}, {"ref": "alexteboul/tutorial-birdclef-visualizations-with-plotly", "kernel_id": "24740704"}, {"ref": "alexteboul/birdclef-2022-all-false-naive-lb-0-48", "kernel_id": "24737868"}, {"ref": "kaerunantoka/birdclef2022-n001-training", "kernel_id": "24734579"}, {"ref": "kaerunantoka/birdclef2022-create-image-data-from-audio-data", "kernel_id": "24762297"}, {"ref": "kaerunantoka/birdclef2022-n001-infer", "kernel_id": "24789799"}, {"ref": "palash97/birdclef22-pytorch-starter-cnn", "kernel_id": "24796289"}, {"ref": "mpwolke/extincted-hawaiian-birds-ogg-file", "kernel_id": "24746512"}, {"ref": "drcapa/birdclef-2022-starter", "kernel_id": "24710674"}, {"ref": "hasanbasriakcay/birdclef22-eda-noise-reduction", "kernel_id": "24739887"}, {"ref": "a1248654/notebook43adc7d2ac", "kernel_id": "24973275"}, {"ref": "mohamedhanyyy/birdclef-2022-audio-classification-eda", "kernel_id": "24929592"}, {"ref": "paulojunqueira/little-bird-what-sound-is-that-eda", "kernel_id": "24925967"}, {"ref": "tensorchoko/birdclef-2022-eda", "kernel_id": "24760596"}, {"ref": "sytuannguyen/birdclef-2022-fast-eda", "kernel_id": "24711271"}, {"ref": "sytuannguyen/audio-data-a-simple-guide-for-beginner", "kernel_id": "24857910"}, {"ref": "sytuannguyen/basic-audio-data-preprocessing", "kernel_id": "24919475"}, {"ref": "ohseokkim/birdclef-2022-shut-up-and-calculate", "kernel_id": "24796283"}, {"ref": "jirkaborovec/birdclef-convert-spectrograms-noise-reduce", "kernel_id": "24784683"}, {"ref": "jirkaborovec/birdclef-lightning-flash-inference", "kernel_id": "24824584"}, {"ref": "jirkaborovec/birdclef-eda-flash-efficientnet", "kernel_id": "24736476"}, {"ref": "jirkaborovec/birdclef-world-map-with-birds", "kernel_id": "24746628"}, {"ref": "sagnik1511/birdclef-2022-introduction", "kernel_id": "24991035"}, {"ref": "novikovmikhail/birdclef-2022-starter", "kernel_id": "24899913"}, {"ref": "foolishboi/birdclef2022-analysis-time", "kernel_id": "24898402"}, {"ref": "swaralipibose/converting-audio-to-spectogram-noise-image-data", "kernel_id": "24735514"}, {"ref": "ravishah1/birdclef-2022-audio-feature-engineering-eda", "kernel_id": "24724092"}, {"ref": "heyrobin/the-songs-of-indian-birds", "kernel_id": "24734602"}, {"ref": "rhythmcam/audio-basic-librosa-usage", "kernel_id": "24816179"}, {"ref": "rhythmcam/rxpy-basic-default-if-empty-usage", "kernel_id": "24816808"}, {"ref": "rhythmcam/json-basic-read-json-data", "kernel_id": "24816816"}, {"ref": "curiousmindflow/oc-ml-p8", "kernel_id": "24988888"}, {"ref": "lunapandachan/birdclef-eda-v4", "kernel_id": "24946636"}, {"ref": "amandanavine/hawaiian-bird-species", "kernel_id": "24578495"}, {"ref": "shuheiakahane/birdclef-eda-augumentation", "kernel_id": "24763772"}, {"ref": "harunilkhan/notebook6c203cdb30", "kernel_id": "24878335"}, {"ref": "subbuvolvosekar/exploring-birds-call-plotly", "kernel_id": "25625535"}, {"ref": "acmiyaguchi/model-sync", "kernel_id": "25479877"}, {"ref": "acmiyaguchi/motif-join-and-embedding", "kernel_id": "25480322"}, {"ref": "robikscube/working-with-audio-data-overview", "kernel_id": "25268377"}, {"ref": "guillermolissa/an-angry-bird-s-eda", "kernel_id": "25244760"}, {"ref": "gurdiel/submission-using-only-sample-submission-csv", "kernel_id": "25015665"}, {"ref": "julian3833/birdclef-21-2nd-place-model-submit-0-66", "kernel_id": "25000395"}, {"ref": "bowaka/birdclef22-eda-and-signals-identifications", "kernel_id": "25694284"}, {"ref": "ulrich07/a-dummy-cnn-inference-tf", "kernel_id": "25146480"}, {"ref": "dschettler8845/birdclef-22-sound-separation-experiment", "kernel_id": "25960922"}, {"ref": "dschettler8845/visualize-your-predictions-birdclef-22", "kernel_id": "25697075"}, {"ref": "dschettler8845/create-raw-audio-segment-dataset", "kernel_id": "25210325"}, {"ref": "talmanr/unsupervised-simclr-learning-using-all-birds", "kernel_id": "25173002"}, {"ref": "itamargr/split-to-train-and-validation-samples", "kernel_id": "25187967"}, {"ref": "kaerunantoka/birdclef2022-audio-to-numpy-2-4", "kernel_id": "25803263"}, {"ref": "kaerunantoka/birdclef2022-audio-to-numpy-3-4", "kernel_id": "25803291"}, {"ref": "kaerunantoka/birdclef2022-audio-to-numpy-4-4", "kernel_id": "25803308"}, {"ref": "kaerunantoka/birdclef2022-use-2nd-label-f0", "kernel_id": "25804002"}, {"ref": "kaerunantoka/birdclef2022-ex005-f0-infer", "kernel_id": "25819820"}, {"ref": "kucsikz/noisereduce-package-without-internet-connection", "kernel_id": "25118587"}, {"ref": "susnato/birdclef-2022-eda-resnet50-training-tf", "kernel_id": "25066563"}, {"ref": "lucasdmr/the-jiripoca-will-pew-pew-00-eda", "kernel_id": "25123865"}, {"ref": "ermak9/simple-classification-using-pytorch", "kernel_id": "25186270"}, {"ref": "stpeteishii/birdclef-2022-location-map", "kernel_id": "25195840"}, {"ref": "stpeteishii/birdclef-2022-audio-spectrogram", "kernel_id": "25207896"}, {"ref": "marchworks/birdclef2022-ssast", "kernel_id": "25164042"}, {"ref": "rakibulip/birdclef-2022-keras-simple-tutorial", "kernel_id": "25950558"}, {"ref": "samyukthamobile/chirping-birds-librosa", "kernel_id": "25723523"}, {"ref": "debarshichanda/pytorch-w-b-birdclef-22-starter", "kernel_id": "25149820"}, {"ref": "duythanhng/birdclef-2022-keras-simple-tutorial", "kernel_id": "25122835"}, {"ref": "tatamikenn/birdclef22-eda-on-the-scored-species", "kernel_id": "25271759"}, {"ref": "tatamikenn/birdclef22-extracting-audio-metadata", "kernel_id": "25274871"}, {"ref": "tatamikenn/birdclef22-generate-mel-spec-hop-size-500", "kernel_id": "25967346"}, {"ref": "tatamikenn/birdclef22-per-channel-energy-normalization", "kernel_id": "25718315"}, {"ref": "tatamikenn/birdclef22-compare-21-and-22-data", "kernel_id": "25543986"}, {"ref": "tatamikenn/birdclef22-eda-on-the-known-hawaiian-birds", "kernel_id": "25575240"}, {"ref": "jirkaborovec/birdclef-fake-predictions", "kernel_id": "25009240"}, {"ref": "jirkaborovec/birdclef-multi-label-flash-transformer", "kernel_id": "25215538"}, {"ref": "sagnik1511/birdclef-2022-final-submission", "kernel_id": "25066246"}, {"ref": "sagnik1511/birdclef-2022-model-building-and-training", "kernel_id": "25033082"}, {"ref": "ilikedeeplearning/birdclef-2022-visual-data-exploration", "kernel_id": "25218106"}, {"ref": "utcarshagrawal/birdclef-audio-pytorch-tutorial", "kernel_id": "25374782"}, {"ref": "venkatkumar001/audiostarter2-end-end-preprocess-lstm-cnn", "kernel_id": "25206744"}, {"ref": "virajkadam/birdclef2022-data-and-audio-eda", "kernel_id": "25138074"}, {"ref": "nicolasperez123/hackathon-period-5", "kernel_id": "25948661"}, {"ref": "sagniksanyal/birdclef-2022-torchaudio-audiomentations-skimpy", "kernel_id": "25625685"}, {"ref": "robbynevels/birdclef-2022-dataset-explorations", "kernel_id": "25625441"}, {"ref": "parrotypoisson/yoloooooo", "kernel_id": "25763827"}, {"ref": "xxxccc333/train-bird-pytorch-baseline", "kernel_id": "25392383"}, {"ref": "xxxccc333/inference-bird-pytorch-baseline", "kernel_id": "25406093"}, {"ref": "kartushovdanil/bird-eda-dark-charts", "kernel_id": "25876474"}, {"ref": "somesh88/eda-birdclef-2022-with-plotly-and-skimpy", "kernel_id": "25563033"}, {"ref": "ambrusattila/basic-submission-without-scoring-error", "kernel_id": "25037187"}, {"ref": "hkonly/birdclef", "kernel_id": "25797613"}, {"ref": "zel1k7/cyclegan", "kernel_id": "25380826"}, {"ref": "myso1987/birdclef2022-pytorch-starter-only-21-classes", "kernel_id": "25658392"}, {"ref": "m1y7k8/birdclef-2022-eda", "kernel_id": "25200113"}, {"ref": "ruiranyan/birdclef2022-eda", "kernel_id": "25315973"}, {"ref": "ajzensar/birdcliff-basic-eda-v6", "kernel_id": "25198064"}, {"ref": "ajzensar/birdclef-skimpy-library1", "kernel_id": "25652575"}, {"ref": "yoyobar/birdclef-2022-submit-70th-pubilc-0-77-private-0-71", "kernel_id": "25240799"}, {"ref": "inakitodc/cuadernillo-rubio", "kernel_id": "25382000"}, {"ref": "krist0phersmith/birdclef-random-guess-baseline", "kernel_id": "25681991"}, {"ref": "jlcordoba/birdclef-notebook-pplu", "kernel_id": "25232198"}, {"ref": "huyidao/infer-exp001-b0-5s", "kernel_id": "25951465"}, {"ref": "sfnzjc/fork-of-birdcleff-submit", "kernel_id": "25988850"}, {"ref": "prachisinha17/birdclef-2022-cnn-samarth", "kernel_id": "25980937"}, {"ref": "lobrien/species-co-occurrence-from-ebird-checklists", "kernel_id": "26854364"}, {"ref": "shigengtian/birdclef2022-ex005-f0-infer", "kernel_id": "26989162"}, {"ref": "shuric80/birdclef2022", "kernel_id": "26143922"}, {"ref": "sushmit0109/birdclef-2022-keras-simple-tutorial-39115b", "kernel_id": "26614637"}, {"ref": "kaerunantoka/birdclef2022-audio-to-numpy-1-4", "kernel_id": "26151922"}, {"ref": "jingwora1/birdclef2022-united", "kernel_id": "26486804"}, {"ref": "aikhmelnytskyy/birdclef2022pytorch-tpu-doesnt-work-what-is-wrong", "kernel_id": "26543822"}, {"ref": "bartmiki/birds-book-eda", "kernel_id": "26529455"}, {"ref": "harsha1999/birdclef-eda-audio-data-visualization", "kernel_id": "26187052"}, {"ref": "leonshangguan/birdnet-inference", "kernel_id": "26962040"}, {"ref": "waley22/notebook63a1c6dd38", "kernel_id": "26494598"}, {"ref": "riadalmadani/fastai-base-model", "kernel_id": "26754580"}, {"ref": "riadalmadani/pytorch-base-model-fold0-epoch10", "kernel_id": "26388992"}, {"ref": "rakibulip/birdclef-2022-keras-simple-tutorial-39115b-c0afbb", "kernel_id": "26923442"}, {"ref": "whoishoo/birdclef2022-hoo", "kernel_id": "26295733"}, {"ref": "shinmurashinmura/birdclef2022-basic-augmentation", "kernel_id": "26961208"}, {"ref": "shinmurashinmura/birdclef2022-soundscape-visualisations", "kernel_id": "26434890"}, {"ref": "yokuyama/birdclef-21-2nd-place-model-with-bin", "kernel_id": "26770648"}, {"ref": "johnnytorres/p08-batch128features", "kernel_id": "26614026"}, {"ref": "johnnytorres/p08-ann-300", "kernel_id": "26316074"}, {"ref": "tatamikenn/birdcleff22-few-shot-learning-demo", "kernel_id": "26255138"}, {"ref": "tatamikenn/birdclef22-generate-mel-spec-hop-size-320", "kernel_id": "26121927"}, {"ref": "tatamikenn/birdclef22-simulation-of-evaluation-metrics", "kernel_id": "26678195"}, {"ref": "tatamikenn/birdclef22-visualization-of-pseudo-labels", "kernel_id": "26856562"}, {"ref": "tatamikenn/birdclef22-meta-sub-clip-60sec-group-by-author", "kernel_id": "26993674"}, {"ref": "coleuhlig/notebook255bbba1fa", "kernel_id": "26344456"}, {"ref": "virajkadam/birdclef22-p2-no-call-classifier", "kernel_id": "26734460"}, {"ref": "virajkadam/birdclef22-p1-extracting-spectograms", "kernel_id": "26643955"}, {"ref": "hgyoon/first-audio-feature-extraction-practice", "kernel_id": "26882516"}, {"ref": "raghavprabhakar66/birdclef2022-sound-classification-using-resnet50", "kernel_id": "26393131"}, {"ref": "jinttt/birdclef-tensorflow", "kernel_id": "26194597"}, {"ref": "foolishboi/birdclef22-playing-with-data", "kernel_id": "26938129"}, {"ref": "kunihikofurugori/birdclef2022-updateannotation", "kernel_id": "26552383"}, {"ref": "viktorcikojevic/baseline-dataset-time-integral-over-spectrogram", "kernel_id": "26903537"}, {"ref": "yuxinzhu1121762/research", "kernel_id": "26770102"}, {"ref": "sbgong/sb-inference", "kernel_id": "26041813"}, {"ref": "connorwelham/birdclef-2022-keras-simple-tutorial", "kernel_id": "26756469"}, {"ref": "ilijajankovic/compx525-birdclef-2022-ilija-jankovic", "kernel_id": "26600527"}, {"ref": "yangranran/my-first-eda-audio-visualization-and-augment", "kernel_id": "26477068"}, {"ref": "teacody/birdclef2022-simple-starter-code-error-analysis", "kernel_id": "26608225"}, {"ref": "tc0000/melspectrogram-calc-speed", "kernel_id": "26666869"}, {"ref": "karkisa/fast-prototyping-pytorch-lightning", "kernel_id": "26806811"}, {"ref": "jlcordoba/simple-submission", "kernel_id": "26737537"}, {"ref": "hyunjeongn/first-competition", "kernel_id": "26946415"}, {"ref": "myncoder0908/bird-call-identi-transfer-learning", "kernel_id": "26022952"}, {"ref": "brodsrf1/mel-spectrogram-images", "kernel_id": "26593216"}, {"ref": "leabsnd/aqsoneleasubmission", "kernel_id": "26104622"}, {"ref": "leabsnd/aqsone-lea-save-model", "kernel_id": "26657600"}, {"ref": "zarin16/birdclef-2022-keras-simple-tutorial-zarin", "kernel_id": "26907141"}, {"ref": "zarin16/birdclef-2022-keras-simple-tutorial-39115b", "kernel_id": "26531978"}, {"ref": "kuaileqingwa/eda-for-birdclef-2022", "kernel_id": "26393856"}, {"ref": "kuaileqingwa/fork-of-eda-for-birdclef-2022", "kernel_id": "26526997"}, {"ref": "hfutquyi/birdclef-2022-q", "kernel_id": "26519306"}, {"ref": "kevenr/birdclef22-ready-to-train-tf-w-augment", "kernel_id": "27313782"}, {"ref": "blankaf/birdclef-audio-to-numpy-h", "kernel_id": "27145413"}, {"ref": "blankaf/hawaii-train-nhah", "kernel_id": "27146934"}, {"ref": "blankaf/hawaii-inferno-flight-best", "kernel_id": "27306693"}, {"ref": "deepkim/22nd-private-0-76-public-0-82-submission", "kernel_id": "27311639"}, {"ref": "presidentrum/birdclef-audio-pytorch-tutorial", "kernel_id": "27175386"}, {"ref": "lucasdmr/audio-treatments-birdclef-2022", "kernel_id": "27369915"}, {"ref": "ivanpan/fork-of-fork-of-cls-exp-1-870246-021187-967146", "kernel_id": "27304923"}, {"ref": "leonshangguan/private-7-8-final-of-submission", "kernel_id": "27325803"}, {"ref": "nomorevotch/create-the-same-mel-from-librosa-and-torchaudio", "kernel_id": "27618818"}, {"ref": "cihadtekinbas/notebook01f7144493", "kernel_id": "27671776"}, {"ref": "hideyukizushi/bird22-infv3-blend-pcen-za500-za320-za300-d300", "kernel_id": "27317597"}, {"ref": "paulojunqueira/birdclef2022-audio-to-image", "kernel_id": "27135497"}, {"ref": "gabrielvinicius/birdclef22-optimizer-ensemble-pipeline", "kernel_id": "27369429"}, {"ref": "asaliquid1011/birdclef2022-3rd-place-inference", "kernel_id": "27490506"}, {"ref": "tatamikenn/birdclef22-sub7-1-3-6-8-9-10-passtx4-panns-x4", "kernel_id": "27313926"}, {"ref": "syamoji141chan/birdclef2022-handlabelingnotebook", "kernel_id": "27313769"}, {"ref": "alexklyu/birdclef-2022-sounds-like-a-image-classification", "kernel_id": "27037557"}, {"ref": "foolishboi/birdclef-convert-to-image-classification", "kernel_id": "27033007"}, {"ref": "kunihikofurugori/birdclef2022-15th-solution", "kernel_id": "27321795"}, {"ref": "viktorcikojevic/baseline-dataset-ffts-of-clips", "kernel_id": "27128049"}, {"ref": "viktorcikojevic/preprocess-generate-dataset-with-nocall", "kernel_id": "27128718"}, {"ref": "jamesbarthelemy/non-semantic-representation-of-speech", "kernel_id": "27287367"}, {"ref": "vexxingbanana/18th-place-solution-0-77-private-0-81-public", "kernel_id": "27345217"}, {"ref": "benedictjohnson/kaggle-competition-assignment-1", "kernel_id": "27412550"}, {"ref": "kylecree/final-copy", "kernel_id": "27618123"}, {"ref": "lewisvillav/birdclef-model", "kernel_id": "27500354"}, {"ref": "georgeelstob/birdclef2022-cnn", "kernel_id": "27900277"}, {"ref": "thevinumathusinghe7/final-submission", "kernel_id": "27622724"}, {"ref": "periklisdrakousis/machine-learning-and-fast-fourier-transform", "kernel_id": "27112544"}, {"ref": "tachyonicclock/cnn14-pann", "kernel_id": "27205619"}, {"ref": "sajith10327849/improved-cnn-with-adam-norm-batch-increase-data", "kernel_id": "27597717"}, {"ref": "sajith10327849/best-model", "kernel_id": "27599118"}, {"ref": "sajith10327849/birdclef-2022-keras-simple-tutorial", "kernel_id": "27564276"}, {"ref": "riadalmadani/fastai-effb0-base-model", "kernel_id": "28037963"}, {"ref": "riadalmadani/fastai-effb0-inf", "kernel_id": "28332954"}, {"ref": "e94076097/birdclef22-training", "kernel_id": "28139493"}, {"ref": "azereldukali/ensemble", "kernel_id": "29764101"}, {"ref": "rainmaker29/swahili-cnn-and-resnet", "kernel_id": "31694376"}, {"ref": "mathiasvogel/inference-birdclef-ai4good", "kernel_id": "31926603"}, {"ref": "tganderson0/bird-clef-week-1", "kernel_id": "31295164"}, {"ref": "mohammadamaansayeed/swahili-resnet-training", "kernel_id": "32668204"}, {"ref": "ibrahimkaratas/bird-sound-recognition", "kernel_id": "34214772"}, {"ref": "zzy990106/birdclef-21-22-23-species-overlap", "kernel_id": "35875754"}, {"ref": "forbo7/aug-log-birdclef", "kernel_id": "35230762"}, {"ref": "nlappalainen/thesis-birdclef2022-submission-baseline-niko-l", "kernel_id": "35290491"}, {"ref": "rachanarn/notebook10", "kernel_id": "35797571"}, {"ref": "awsaf49/birdclef23-pretraining-is-all-you-need-train", "kernel_id": "36187143"}, {"ref": "ollypowell/birdclef-21-22-23-data-cleaning", "kernel_id": "36306442"}, {"ref": "ollypowell/birdclef23-audio-to-numpy", "kernel_id": "36226319"}, {"ref": "ineedacat/data-preprocessing", "kernel_id": "36645196"}, {"ref": "somesh88/eda-of-birdclef-data", "kernel_id": "36759001"}, {"ref": "huihuihui12/birdclef-train-efficient", "kernel_id": "36988861"}, {"ref": "aikhmelnytskyy/birdclef23-train-convnext-problem", "kernel_id": "37448978"}, {"ref": "huyhoang333/birdclef-number-of-training-samples-per-species", "kernel_id": "37824628"}, {"ref": "leehann/birdclef-21-2nd-place-model-submit", "kernel_id": "37394830"}, {"ref": "leehann/birdclef-21-2nd-place-model-train-0-66", "kernel_id": "37310448"}, {"ref": "leehann/birdclef-21-2nd-place-model-pretrain", "kernel_id": "37528690"}, {"ref": "debpritamroy/recognition", "kernel_id": "37763837"}, {"ref": "debpritamroy/birdvoicercognition", "kernel_id": "37793316"}, {"ref": "niharikadeokar/pre-and-visualisations", "kernel_id": "38567306"}, {"ref": "caelar/pak-birdclef-20930", "kernel_id": "38069506"}, {"ref": "debpritamroy/fork-of-birdvoicercognition", "kernel_id": "38010007"}, {"ref": "atsunorifujita/extract-from-kaggle-models", "kernel_id": "39051965"}, {"ref": "kaikhrug/khrugbird-beta", "kernel_id": "39360969"}, {"ref": "arunodhayan/kaggle-ai-report-birdclef-series-2019-2023", "kernel_id": "40118313"}, {"ref": "daniel1312412/birdclef-21-2nd-place-model-train-0-66", "kernel_id": "40478775"}, {"ref": "souradippal/birdclef23-pretraining-is-all-you-need-train", "kernel_id": "41372196"}, {"ref": "kejunkang/birdclef-21-2nd-place-model-pretrain", "kernel_id": "43758674"}, {"ref": "yuminchiang/bird-audio-identification", "kernel_id": "46722908"}, {"ref": "christian02tw/deletecd-birdclef2022-3rd-place-inference", "kernel_id": "46187661"}, {"ref": "christian02tw/deletecd-27modelstest-public-76-private-82", "kernel_id": "46189132"}, {"ref": "christian02tw/birdclef2022-15th-solution", "kernel_id": "46189607"}, {"ref": "chiranjivihole/birds-voice-recognition", "kernel_id": "50020163"}, {"ref": "aikhmelnytskyy/birdclef24-pretraining-is-all-you-need", "kernel_id": "54066587"}, {"ref": "seydifaye/spec-birdclef-2024-train-cnn-train", "kernel_id": "54271724"}, {"ref": "saarthakverma/bird-sound-detection", "kernel_id": "54494991"}, {"ref": "followjohn/birdclef-2024-inference-notebook", "kernel_id": "55789109"}, {"ref": "yuxintong/lilydraft", "kernel_id": "55160404"}, {"ref": "liuyixijia/birdclef24-pretraining-is-all-you-need909909", "kernel_id": "58640705"}, {"ref": "liuyixijia/birdclef24-ikun-pretraining-is-all-you-need-002", "kernel_id": "58517400"}, {"ref": "liuyixijia/909birdclef24-ikun-pretraining-is-all-you-nee", "kernel_id": "58690764"}, {"ref": "liuyixijia/fork-of-909birdclef24-ikun-pretraining-is-all-you", "kernel_id": "58724351"}, {"ref": "wengsilu/newbirdclef24pretraining", "kernel_id": "58975535"}, {"ref": "skanderkaroui/birdclef24-skander-s-attempt-train", "kernel_id": "58535798"}, {"ref": "followjohn/birdclef-2024-training", "kernel_id": "59167933"}, {"ref": "saeedahmed1/mfcc-feature-extraction-from-audio", "kernel_id": "62688207"}, {"ref": "sbgong/2048-128-baseline", "kernel_id": "72808457"}, {"ref": "seshurajup/birdclef-2020-2025-all-training-extra-npy-dataset", "kernel_id": "78317615"}, {"ref": "niket47/birdclef-2025-using-efficient-v2", "kernel_id": "86123633"}, {"ref": "muhammadsaadalvi/birdclef-2026-wildsound-v8", "kernel_id": "112170120"}, {"ref": "martinaolivato/baseline-training-kerascv", "kernel_id": "115819856"}, {"ref": "samithsachidanandan/transforming-audio-to-mel-spec-birdclef-26", "kernel_id": "117308412"}, {"ref": "martinaolivato/stage-3-multi-stage-pretraining-kerascv", "kernel_id": "117513516"}, {"ref": "martinaolivato/stage-2-multi-stage-pretraining-kerascv", "kernel_id": "117512837"}, {"ref": "martinaolivato/stage-4-multi-stage-pretraining-sed", "kernel_id": "120878009"}, {"ref": "jennyyila/notebook149927cb53", "kernel_id": "127832628"}, {"ref": "jennyyila/yamnet-frozen-lightgbm-export", "kernel_id": "127981643"}, {"ref": "jaysonchen1997/bird-jayson-fastai", "kernel_id": "127622565"}, {"ref": "sachalafargue/projet-oiseau", "kernel_id": "135815364"}]}
{"competition_id": "33247", "kernels": []}
{"competition_id": "33249", "kernels": []}
{"competition_id": "33250", "kernels": []}
{"competition_id": "33252", "kernels": [{"ref": "yadnyeshpatil4/notebooka479eb7727", "kernel_id": "67827488"}]}
{"competition_id": "33264", "kernels": [{"ref": "seele1917/baseline-pytorch", "kernel_id": "22825525"}, {"ref": "vladlen32230/image-segmentation", "kernel_id": "83427322"}]}
{"competition_id": "33266", "kernels": []}
{"competition_id": "33269", "kernels": []}
{"competition_id": "33270", "kernels": []}
{"competition_id": "33290", "kernels": []}
{"competition_id": "33306", "kernels": [{"ref": "sahranjit77/ranjit-notebook", "kernel_id": "22858330"}]}
{"competition_id": "33312", "kernels": []}
{"competition_id": "33317", "kernels": [{"ref": "tlorieul/geolifeclef2022-data-loading-and-visualization", "kernel_id": "24705574"}, {"ref": "tlorieul/geolifeclef2022-baselines-and-submission", "kernel_id": "24706150"}, {"ref": "mpwolke/geolifeclef-rasters", "kernel_id": "25441409"}, {"ref": "mpwolke/geolifeclef-2022-species-observations", "kernel_id": "25415356"}, {"ref": "ofirmazor/quick-maps-exploration-france", "kernel_id": "25337232"}, {"ref": "lucasmorin/glc22-simple-lat-long-knn", "kernel_id": "25323023"}, {"ref": "lucasmorin/geolifeclef2022-eda", "kernel_id": "25324517"}, {"ref": "meenakshiramaswamy/geolifeclef2022-basemodel", "kernel_id": "26105853"}, {"ref": "noob6789/geolifeclef2022", "kernel_id": "27783178"}, {"ref": "saketkunwar/prepare-data-distillation", "kernel_id": "88675953"}]}
{"competition_id": "33332", "kernels": []}
{"competition_id": "33337", "kernels": [{"ref": "egorandreasyan/ruatd-bin-cls-nlp", "kernel_id": "70278325"}]}
{"competition_id": "33339", "kernels": []}
{"competition_id": "33340", "kernels": []}
{"competition_id": "33347", "kernels": []}
{"competition_id": "33349", "kernels": []}
{"competition_id": "33350", "kernels": []}
{"competition_id": "33351", "kernels": []}
{"competition_id": "33352", "kernels": []}
{"competition_id": "33353", "kernels": []}
{"competition_id": "33364", "kernels": []}
{"competition_id": "33365", "kernels": []}
{"competition_id": "33367", "kernels": []}
{"competition_id": "33374", "kernels": []}
{"competition_id": "33400", "kernels": [{"ref": "simranvolunesia/breast-cancer-prediction", "kernel_id": "23772270"}]}
{"competition_id": "33416", "kernels": []}
{"competition_id": "33418", "kernels": []}
{"competition_id": "33431", "kernels": []}
{"competition_id": "33437", "kernels": []}
{"competition_id": "33439", "kernels": [{"ref": "joaopaulomartins/baseline-submission", "kernel_id": "23002302"}]}
{"competition_id": "33443", "kernels": []}
{"competition_id": "33444", "kernels": []}
{"competition_id": "33446", "kernels": []}
{"competition_id": "33447", "kernels": []}
{"competition_id": "33450", "kernels": []}
{"competition_id": "33453", "kernels": []}
{"competition_id": "33459", "kernels": []}
{"competition_id": "33461", "kernels": [{"ref": "robikscube/the-stallion-baseline", "kernel_id": "23462859"}, {"ref": "soumya9977/how-far-you-can-push-w-o-data-stacking-ml-models", "kernel_id": "23463159"}, {"ref": "roberterffmeyer/medallion-stallion-january-random-forests", "kernel_id": "23625448"}, {"ref": "demko1/youtube-popular", "kernel_id": "23611330"}, {"ref": "impostorengineer/what-not-to-do", "kernel_id": "23463176"}]}
{"competition_id": "33462", "kernels": []}
{"competition_id": "33466", "kernels": []}
{"competition_id": "33467", "kernels": []}
{"competition_id": "33475", "kernels": []}
{"competition_id": "33497", "kernels": [{"ref": "geoparslp/lab3-data-loading-tutorial", "kernel_id": "23293785"}, {"ref": "loukassfountoris/lab3-pattern-recognition", "kernel_id": "33698458"}, {"ref": "kostasmaniotis/lab3-k-man", "kernel_id": "33674254"}, {"ref": "loukassfountoris/patterc-lab3", "kernel_id": "34178042"}, {"ref": "pxaris/lab2-data-loading-tutorial", "kernel_id": "46630942"}, {"ref": "gerasimosmark/lab3-data-loading-tutorial", "kernel_id": "46503951"}, {"ref": "chrysapratikaki/lab2-prep-lab", "kernel_id": "46809112"}, {"ref": "panagiotiskaoukis/lab3-data-loading-tutorial", "kernel_id": "46409298"}, {"ref": "odysseasdrys/pat-rec-lab-2", "kernel_id": "47377574"}, {"ref": "pavloslivitsanos/lab2-data-loading-tutorial", "kernel_id": "71306818"}, {"ref": "tasoskanellos/lab2-patrec24", "kernel_id": "73327481"}, {"ref": "konstantinapanou/patrec-lab2", "kernel_id": "73095175"}, {"ref": "dimitriskk13/prep-lab2", "kernel_id": "101672911"}, {"ref": "ostriftis/transfer-learning-multitask-learning", "kernel_id": "110042459"}]}
{"competition_id": "33498", "kernels": []}
{"competition_id": "33500", "kernels": []}
{"competition_id": "33501", "kernels": [{"ref": "tekrajchhetri/twitter-text-classification", "kernel_id": "23578175"}, {"ref": "kishalmandal/behavioural-tweets-eda-and-bertweet-baseline", "kernel_id": "23334127"}, {"ref": "siddhawan/sentiment-berttf", "kernel_id": "30654176"}, {"ref": "saidsp19/mental-status-detector", "kernel_id": "41592843"}, {"ref": "sidramalikawan/multiclassification", "kernel_id": "58799414"}, {"ref": "husnainamjad/tweets-classification-using-logistic-regression", "kernel_id": "61698324"}, {"ref": "husnainamjad/tweets-classification", "kernel_id": "61646746"}]}
{"competition_id": "33506", "kernels": [{"ref": "limguentaek/baseline", "kernel_id": "23377332"}]}
{"competition_id": "33508", "kernels": []}
{"competition_id": "33516", "kernels": [{"ref": "kuantinglai/notebook078145191b", "kernel_id": "23433446"}, {"ref": "saraswatitiwari/frozen-lake", "kernel_id": "23522794"}, {"ref": "weixuanyou/110368002-frozenlake", "kernel_id": "24100108"}, {"ref": "arsene210/frozenlake-q-learning", "kernel_id": "91252126"}]}
{"competition_id": "33517", "kernels": []}
{"competition_id": "33521", "kernels": []}
{"competition_id": "33523", "kernels": []}
{"competition_id": "33525", "kernels": []}
{"competition_id": "33537", "kernels": []}
{"competition_id": "33549", "kernels": []}
{"competition_id": "33550", "kernels": []}
{"competition_id": "33551", "kernels": []}
{"competition_id": "33554", "kernels": []}
{"competition_id": "33567", "kernels": [{"ref": "simranvolunesia/life-insurance-predicting-level-of-risk", "kernel_id": "23783286"}]}
{"competition_id": "33579", "kernels": [{"ref": "yashvi/predict-book-review-rating-using-jax-flax", "kernel_id": "23759223"}, {"ref": "danofer/goodreads-data-munge", "kernel_id": "26280927"}, {"ref": "qsuire/goodreads-huggingface-inference", "kernel_id": "27409739"}, {"ref": "qsuire/goodreads-books-reviews-parquet-files", "kernel_id": "27325745"}, {"ref": "qsuire/goodreads-huggingface-datasets", "kernel_id": "27361167"}, {"ref": "mayerantoine/eda-nlp-goodreads-books-reviews", "kernel_id": "27633267"}, {"ref": "polaternez/books-recommendation-surprice", "kernel_id": "27406884"}, {"ref": "vijaysiyer/goodreads-reviews", "kernel_id": "27009281"}, {"ref": "pawebiegun/books-reviews", "kernel_id": "28326064"}, {"ref": "zwartfreak/book-review-full-explanation", "kernel_id": "28660081"}, {"ref": "sindhuinti/book-review1", "kernel_id": "28897382"}, {"ref": "iamravi1/good-readers-review", "kernel_id": "28919818"}, {"ref": "jeremyadamsfisher/goodreads-x-huggingface-trainer", "kernel_id": "29539104"}, {"ref": "vickytau/basic-eda-and-mean-prediction", "kernel_id": "29880648"}, {"ref": "praveensingh12/book-review-part-1", "kernel_id": "29574683"}, {"ref": "mikhailutrobin/book-review-rating-with-pytorch-lightning", "kernel_id": "29126742"}, {"ref": "elahehosseini/notebook6e440ed027", "kernel_id": "30227017"}, {"ref": "ehsanmrh/nlp-goodreads-eda-ml-pytorch-lightning", "kernel_id": "30529585"}, {"ref": "abhishek/goodreads-autotrain", "kernel_id": "31556704"}, {"ref": "rumasinha/nlp-eda-and-embedding-and-vocabulary", "kernel_id": "31049008"}, {"ref": "belsonraja/good-reads-book-review-analysis-notebook", "kernel_id": "31858634"}, {"ref": "priyanagda/tf-idf-lr", "kernel_id": "31727352"}, {"ref": "gabrielikaro/goodreads-data-processing-for-sentiment-analysis", "kernel_id": "31261474"}, {"ref": "bouyakhsainekhadija/goodreads-data-processin", "kernel_id": "31813836"}, {"ref": "elephantl/book-review-classification", "kernel_id": "31527658"}, {"ref": "adegladius/goodreads-books-bert-base-cased-0-45337", "kernel_id": "32837906"}, {"ref": "pragyanbeuria/sentiment-analysis-upon-book-review-data", "kernel_id": "32940434"}, {"ref": "gabrielikaro/cnn-lstm", "kernel_id": "32450856"}, {"ref": "klyushnik/reviews-with", "kernel_id": "32357994"}, {"ref": "abhigyaverma/running-state-of-art-algos-rnn-after-reduction", "kernel_id": "33891713"}, {"ref": "ianolmstead/good-reads-sentiment-analysis", "kernel_id": "33533870"}, {"ref": "maryiaznak/goodreads-reviews-glove-cnn", "kernel_id": "33102068"}, {"ref": "maryiaznak/goodreads-reviews-eda-roberta-tf-tpu-vm-v3-8", "kernel_id": "33038811"}, {"ref": "maryiaznak/goodreads-reviews-embedding-cnn", "kernel_id": "33184063"}, {"ref": "datarohitingole/simple-eda-and-interactive-plots", "kernel_id": "33756487"}, {"ref": "serkanp/goodread-books-reviews-analysis", "kernel_id": "33480796"}, {"ref": "ratulwisher/goodreads-nlp-ml-dl-methods", "kernel_id": "33489093"}, {"ref": "shamikrana/book-recommendation-system", "kernel_id": "33166750"}, {"ref": "liqiang2022/books-rate-prediction", "kernel_id": "33928041"}, {"ref": "abhigyaverma/bert-classification", "kernel_id": "34540623"}, {"ref": "abhigyaverma/ml-algos-rnn-bow", "kernel_id": "34539514"}, {"ref": "abhigyaverma/running-state-of-art-algos-rnn-tfidf", "kernel_id": "34382281"}, {"ref": "ashokkumargarain/notebookdd6e4057fc", "kernel_id": "34640163"}, {"ref": "pathompongmuangthong/my-very-dumb-neural-network-keras", "kernel_id": "34742406"}, {"ref": "pathompongmuangthong/my-very-dumb-logistic-regression-sklearn", "kernel_id": "34736848"}, {"ref": "poludniowyalbanczyk/goodreads-book-reviews-svc-classifier", "kernel_id": "34043177"}, {"ref": "menaningwang/eda-good-reads", "kernel_id": "34165575"}, {"ref": "datarohitingole/rating-prediction-and-text-processing-using-gru", "kernel_id": "34114848"}, {"ref": "gm472sussex/google-reads-rating-prediction", "kernel_id": "34752958"}, {"ref": "mohamedaakhil/goodread-books-reviews-analysis", "kernel_id": "34327666"}, {"ref": "siddharthkumarsah/goodreads-books-reviews-eda", "kernel_id": "35963558"}, {"ref": "gauridargar/gd-bookreview", "kernel_id": "35232570"}, {"ref": "alessandrozanette/goodreads-books-reviews-eda-cleaning-nn", "kernel_id": "35303814"}, {"ref": "ziadhamadafathy/sentiment-analysis-for-books-reviews", "kernel_id": "35271504"}, {"ref": "acaciamastropaolo/acacia-goodreads-notebook1", "kernel_id": "35113240"}, {"ref": "kiruthika2003/notebookc2f5b8a83e", "kernel_id": "36502105"}, {"ref": "kiruthika2003/notebook7862770aca", "kernel_id": "36502130"}, {"ref": "kiruthika2003/goodread-books-reviews-analysis", "kernel_id": "36501790"}, {"ref": "justinsiow/goodreads-distilbert-automodel-tensorflow", "kernel_id": "36468287"}, {"ref": "justinsiow/goodreads-roberta-with-trainer-api-torch", "kernel_id": "36693469"}, {"ref": "mohamedaminesahraoui/book-review", "kernel_id": "36467080"}, {"ref": "abdallahragab223/roberta", "kernel_id": "36588263"}, {"ref": "atharvamartiwar/goodreads", "kernel_id": "37982327"}, {"ref": "chibuzorokocha/neural-network-keras", "kernel_id": "37298424"}, {"ref": "shadowhat/exercise-goodread-reviews-rating-nlp", "kernel_id": "37453757"}, {"ref": "avniuplabdhee/goodreads-book-review", "kernel_id": "37312690"}, {"ref": "gautamkumar93069/goodreads", "kernel_id": "37312185"}, {"ref": "niikhiil/emotion-text", "kernel_id": "37312770"}, {"ref": "zzz5yy/wwwww", "kernel_id": "38218736"}, {"ref": "ashutoshsethi/practice-for-1st-milestone-project", "kernel_id": "38118860"}, {"ref": "manishvkamble/goodreads-reviews-sentiment-analysis", "kernel_id": "38467098"}, {"ref": "abdallahragab223/distilbert", "kernel_id": "40218715"}, {"ref": "sugikumar/good-reads-book-review", "kernel_id": "42127104"}, {"ref": "brahimy/goodread-books-reviews-analysis", "kernel_id": "59206168"}, {"ref": "dohwipark/notebooka6518074ce", "kernel_id": "86106692"}]}
{"competition_id": "33580", "kernels": []}
{"competition_id": "33592", "kernels": []}
{"competition_id": "33593", "kernels": []}
{"competition_id": "33607", "kernels": [{"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "crischir/mockup-ner-nbme-poc", "kernel_id": "23761183"}, {"ref": "samarthagarwal23/understanding-data-creation-multi-span", "kernel_id": "24451589"}, {"ref": "samarthagarwal23/what-s-in-the-features-and-annotation", "kernel_id": "24690565"}, {"ref": "manojprabhaakr/nbme-deberta-large-baseline-inference", "kernel_id": "24587317"}, {"ref": "ibadia/understanding-nbme-dataset-and-evaluation-criteria", "kernel_id": "24765509"}, {"ref": "farazrahman/score-patient-notes", "kernel_id": "24347669"}, {"ref": "robikscube/nbme-data-exploration-on-twitch", "kernel_id": "24401454"}, {"ref": "guillermolissa/nbme-score-clinical-simple-eda", "kernel_id": "24958277"}, {"ref": "stefanjo/nbme-eda", "kernel_id": "24806208"}, {"ref": "yeayates21/yet-another-nbme-eda-notebook", "kernel_id": "24494271"}, {"ref": "raghavendrakotala/problem-understanding-and-data-analysis", "kernel_id": "24351935"}, {"ref": "zahaviguy/eda-what-is-the-medical-meaning-of-nbme-features", "kernel_id": "24973160"}, {"ref": "hengzheng/infer-qa-roberta-base-5-folds", "kernel_id": "24506952"}, {"ref": "hengzheng/training-qa-roberta-base-5-folds", "kernel_id": "24502512"}, {"ref": "hengzheng/nbme-bert-for-beginners", "kernel_id": "24471940"}, {"ref": "wuyhbb/get-more-training-data-with-exact-match", "kernel_id": "24820613"}, {"ref": "kumarsrikant/nbma-eda", "kernel_id": "24775998"}, {"ref": "nehagupta8092/initial-analysis-in-progress", "kernel_id": "24498589"}, {"ref": "crischir/nbme2-conll-via-spacy", "kernel_id": "24563234"}, {"ref": "crischir/v3-poc-ner-nbme-token-alignment", "kernel_id": "24875463"}, {"ref": "awaldeep/first-look-eda-visualizations", "kernel_id": "24784931"}, {"ref": "awaldeep/tensorflow-bert", "kernel_id": "24945506"}, {"ref": "yasufuminakama/nbme-deberta-base-baseline-inference", "kernel_id": "24511240"}, {"ref": "yasufuminakama/nbme-deberta-base-baseline-train", "kernel_id": "24502717"}, {"ref": "yasufuminakama/nbme-pip-wheels", "kernel_id": "24365549"}, {"ref": "arunamenon/score-patient-notes-eda-ner-model", "kernel_id": "24461963"}, {"ref": "theoviel/evaluation-metric-folds-baseline", "kernel_id": "24358261"}, {"ref": "kaushaltalapady/nbme-eda-and-starter", "kernel_id": "24401759"}, {"ref": "gazu468/nbme-details-eda", "kernel_id": "24357099"}, {"ref": "yufuin/nbme-japanese", "kernel_id": "24636683"}, {"ref": "vickeytomer/nbm-data-exploration-eda", "kernel_id": "24928450"}, {"ref": "mpwolke/patient-s-key-phrases", "kernel_id": "24349509"}, {"ref": "mpwolke/micro-averaged-f1-score", "kernel_id": "24606380"}, {"ref": "bearmontblanc/nbme-pytorch-bert", "kernel_id": "24979061"}, {"ref": "ioannisf/nbme-eda", "kernel_id": "24962399"}, {"ref": "drcapa/nbme-starter", "kernel_id": "24345894"}, {"ref": "iamsdt/pytorch-bert-baseline-nbme", "kernel_id": "24564881"}, {"ref": "iamsdt/pytorch-bert-baseline-to-roberta-nbme", "kernel_id": "24927749"}, {"ref": "ruchi798/score-clinical-patient-notes-spacy-w-b", "kernel_id": "24345674"}, {"ref": "nbroad/qa-ner-hybrid-train-nbme", "kernel_id": "24349318"}, {"ref": "nbroad/qa-ner-hybrid-infer-nbme", "kernel_id": "24352949"}, {"ref": "tchaye59/nbme-qa-tensorflow-baseline-tpu", "kernel_id": "24764354"}, {"ref": "tchaye59/nbme-binary", "kernel_id": "24477509"}, {"ref": "tchaye59/nbme-tensorflow-bert-baseline", "kernel_id": "24358140"}, {"ref": "tensorchoko/nbme-eda-jp-en", "kernel_id": "24362170"}, {"ref": "haithamaliryan/clinical-notes-split-into-sentences-the-best-way", "kernel_id": "24637871"}, {"ref": "guanghan/train-deberta-v3-large-baseline", "kernel_id": "24917510"}, {"ref": "readoc/nbme-cross-encoder-train", "kernel_id": "24753423"}, {"ref": "khkuggle/pre-processing-modeling-distilbert-nn", "kernel_id": "24454605"}, {"ref": "joeonaka/nbme-data-overview-jp", "kernel_id": "24349971"}, {"ref": "abdelrhmanhosny/eda-abbreviations-word-counts", "kernel_id": "24364790"}, {"ref": "vedantj/eda-nbme-score-clinical-patient-notes", "kernel_id": "24802100"}, {"ref": "markwijkhuizen/nbme-preprocessing-albert", "kernel_id": "24615302"}, {"ref": "markwijkhuizen/nbme-albert-large-training-tpu", "kernel_id": "24615315"}, {"ref": "markwijkhuizen/nbme-albert-extra-training-data-public", "kernel_id": "24804353"}, {"ref": "markwijkhuizen/nbme-albert-inference-public", "kernel_id": "24791738"}, {"ref": "apurvsj/basic-understanding-eda", "kernel_id": "24358448"}, {"ref": "tomohiroh/nbme-bert-for-beginners", "kernel_id": "24431855"}, {"ref": "vanguarde/nbme-eda", "kernel_id": "24485328"}, {"ref": "petrdobe/nbme-cnn-character-based", "kernel_id": "24687144"}, {"ref": "utcarshagrawal/nbme-complete-eda", "kernel_id": "24519505"}, {"ref": "chaitanyabagul/second-nt", "kernel_id": "24694190"}, {"ref": "yekahaaagayeham/nbme-quick-eda-sentiment-analysis", "kernel_id": "24362954"}, {"ref": "bhaveshkumar2806/score-clinical-patient-notes-eda-with-plotly", "kernel_id": "24367259"}, {"ref": "shritech1404/nbme-score-clinical-patient-notes-eda", "kernel_id": "24617560"}, {"ref": "sagniksanyal/scored-patient-notes-using-scapy", "kernel_id": "24435716"}, {"ref": "arvinddevarkonda/bert-nbme-inference-3", "kernel_id": "24841858"}, {"ref": "arvinddevarkonda/noob-s-way-p", "kernel_id": "24898973"}, {"ref": "edwintyh/nbme-starter-eda", "kernel_id": "24352563"}, {"ref": "swaralipibose/the-eda-you-need", "kernel_id": "24354919"}, {"ref": "somesh88/pytorch-lightning-inference-notebook", "kernel_id": "24708361"}, {"ref": "somesh88/nbme-pytorch-lightning-clinical-bert-train", "kernel_id": "24664640"}, {"ref": "somesh88/nbme-clinical-patients-eda", "kernel_id": "24642156"}, {"ref": "librauee/get-token", "kernel_id": "24876249"}, {"ref": "librauee/train-deberta-v3-large-baseline", "kernel_id": "24887649"}, {"ref": "librauee/infer-deberta-v3-large-baseline", "kernel_id": "24886133"}, {"ref": "yama09/nbme-eda-made-simple", "kernel_id": "24718865"}, {"ref": "odins0n/nbme-detailed-eda", "kernel_id": "24356455"}, {"ref": "heyrobin/clinical-patient-notes-eda", "kernel_id": "24406731"}, {"ref": "jillanisofttech/nbme-score-clinical-patient-notes", "kernel_id": "24416149"}, {"ref": "huchlatymon/nbme-eda-deberta-train-cv-0-85", "kernel_id": "24639305"}, {"ref": "ammarabbasi1040/nbme-eda-made-simple", "kernel_id": "24487728"}, {"ref": "aanisha07/eda-nbme-score-clinical-patient-notes", "kernel_id": "24440825"}, {"ref": "lunapandachan/nbme-eda-pseudo-label", "kernel_id": "24785219"}, {"ref": "luckypen/evaluating-doctor-s-notes", "kernel_id": "24675622"}, {"ref": "nilakay/nbme-eda", "kernel_id": "24868913"}, {"ref": "autocovolution/nbme-deberta-base-baseline-train-9e43c0", "kernel_id": "24921623"}, {"ref": "szymonog/nbme-dataexploration", "kernel_id": "24623851"}, {"ref": "shagalsajid/feature-extraction-case-study-for-beginners", "kernel_id": "24766866"}, {"ref": "bestesakar/nbme-score-clinical-patient-notes-eda", "kernel_id": "24596944"}, {"ref": "anerishingde/nbme-deberta-base-baseline-inference", "kernel_id": "24606653"}, {"ref": "hengck23/deberta-v3-small-baseline", "kernel_id": "25848130"}, {"ref": "hengck23/deberta-v3-large-baseline-fast-version", "kernel_id": "25860693"}, {"ref": "hengck23/direct-char-level-output", "kernel_id": "25950150"}, {"ref": "motloch/nbme-ensemble-debertas", "kernel_id": "25915051"}, {"ref": "subbuvolvosekar/what-is-there-in-clinical-notes-eda", "kernel_id": "25194375"}, {"ref": "aiswaryaramachandran/nbme-deberta-v1", "kernel_id": "25196091"}, {"ref": "aiswaryaramachandran/nbme-deberta-v1-infer", "kernel_id": "25226965"}, {"ref": "nulldata/keyphrase-keywords-extraction-using-rake", "kernel_id": "25272893"}, {"ref": "aman1391/ak-deberta-xlarge-inf", "kernel_id": "25904143"}, {"ref": "osamir/download-huggingface-models-debertaxlargev2", "kernel_id": "25447508"}, {"ref": "takoihiraokazu/deberta-v3-large-model", "kernel_id": "25535917"}, {"ref": "johnakwei/nbme-score-clinical-notes-in-r", "kernel_id": "25206023"}, {"ref": "gauravbrills/helpers-for-the-ride-folds", "kernel_id": "25409985"}, {"ref": "toroi0610/nbme-ensemble-debertas", "kernel_id": "25949496"}, {"ref": "lhd0430/nbme-spark-nlp-healthcare", "kernel_id": "25785403"}, {"ref": "zahaviguy/nbme-is-the-data-annotated-correctly", "kernel_id": "25822921"}, {"ref": "junkoda/be-aware-of-white-space-deberta-roberta", "kernel_id": "25741805"}, {"ref": "narendra/nbme-hight-level-eda", "kernel_id": "25366223"}, {"ref": "aydartech/deberta-v3-large", "kernel_id": "25332161"}, {"ref": "dominyellow/train-roberta-large-kfold3-baseline-ko", "kernel_id": "25928960"}, {"ref": "crischir/train-deberta-v3-large", "kernel_id": "25065315"}, {"ref": "tarandeep97/dlproject-team45", "kernel_id": "25501708"}, {"ref": "kei96kag/nbme-momorandum-bert-study-by-a-beginner", "kernel_id": "25299609"}, {"ref": "theoviel/roberta-strikes-back", "kernel_id": "25089680"}, {"ref": "shravansk/finding-wrong-annotations-the-right-way", "kernel_id": "25584580"}, {"ref": "honghaik14/notebook4c7acf9846", "kernel_id": "25860329"}, {"ref": "n1kkqt/ensemble", "kernel_id": "25573692"}, {"ref": "weicongkong/eda-handy-patient-notes-label-visualiser", "kernel_id": "25521277"}, {"ref": "jt120lz/train-roberta", "kernel_id": "25750110"}, {"ref": "iamsdt/explanation-bert-tokenizer-for-nbme", "kernel_id": "25617195"}, {"ref": "abhinavss4/qa-ner-hybrid-pytorch-simple", "kernel_id": "25370864"}, {"ref": "doanquanvietnamca/resnet32-w-o-adv", "kernel_id": "25761421"}, {"ref": "doanquanvietnamca/resnet32-with-virtualbatchnorm", "kernel_id": "25806114"}, {"ref": "masato114/nbme-technical-terms-among-tokenizers", "kernel_id": "25390593"}, {"ref": "masato114/nmbe-tpu-training", "kernel_id": "25479564"}, {"ref": "thibaudgrosjean/tensorflow-transformers-baseline-for-beginners", "kernel_id": "25705577"}, {"ref": "haithamaliryan/nbme-extract-features-using-medspacy-lib", "kernel_id": "25539717"}, {"ref": "guanghan/deberta-v3-large-baseline-deepshare", "kernel_id": "25003377"}, {"ref": "tianzijing/train-deberta-with-pytorch-lightning", "kernel_id": "25664771"}, {"ref": "tianzijing/infer-deberta-with-pytorch-lightning", "kernel_id": "25888742"}, {"ref": "leemop/version-4-simply-understand-competition-itself", "kernel_id": "25461332"}, {"ref": "maximegatineau/nbme-post-processing-and-ensemble-tools", "kernel_id": "25641352"}, {"ref": "chenxujinrong/nbme-deberta-base-baseline-train", "kernel_id": "25660634"}, {"ref": "printnaveen/nbme-understanding-the-data-detailed-eda", "kernel_id": "25138345"}, {"ref": "senaerdogan/qa-deberta-v0", "kernel_id": "25158294"}, {"ref": "senaerdogan/train-qa-deberta-v0", "kernel_id": "25422225"}, {"ref": "senaerdogan/inferece-qa-deberta-v0", "kernel_id": "25422559"}, {"ref": "trex99/nbme-ensemble-v50-train", "kernel_id": "25584276"}, {"ref": "sagniksanyal/nbme-patient-notes-using-scapy-eda-tf-baseline", "kernel_id": "25036311"}, {"ref": "maximilianoalarcon/nbme-score-clinical-patient-notes", "kernel_id": "25525137"}, {"ref": "clinemendola/pytorch-pubmedbert-nbme", "kernel_id": "25433504"}, {"ref": "ammarnassanalhajali/nbme-fine-tuning-deberta-tensorflow", "kernel_id": "25346543"}, {"ref": "ammarnassanalhajali/nbme-deberta-inference-tensorflow", "kernel_id": "25412338"}, {"ref": "telmazzzz/nbme-inference", "kernel_id": "25803947"}, {"ref": "paulomelo2000/meutrabalho", "kernel_id": "25416688"}, {"ref": "kazu02/nbme-eda", "kernel_id": "25711266"}, {"ref": "emircanerol/location", "kernel_id": "25893030"}, {"ref": "emircanerol/fast-text", "kernel_id": "25429245"}, {"ref": "emircanerol/keyword-extraction", "kernel_id": "25405197"}, {"ref": "ravikumarmn/nbme-eda-score-clinical-patient-notes", "kernel_id": "25173704"}, {"ref": "ahmedmohamed11/nbme-deberta-base-baseline-train", "kernel_id": "25647336"}, {"ref": "shorpenlee/mlma-final-project", "kernel_id": "25333025"}, {"ref": "ryryrymyg/ryryry-nbme-detailed-eda", "kernel_id": "25498206"}, {"ref": "progpug314/bio-bert-spacy-data-preparation-and-training", "kernel_id": "25449521"}, {"ref": "progpug314/biobert-spacy-inference", "kernel_id": "25842484"}, {"ref": "animeshhalder/nbme-a-beginner-s-approach", "kernel_id": "25237206"}, {"ref": "tejasgokulbaraskar/notebook30be1d9f7c", "kernel_id": "25346840"}, {"ref": "lunapandachan/nbme-pseudo-label-making", "kernel_id": "25643424"}, {"ref": "starlitlolith/patient-notes", "kernel_id": "25798000"}, {"ref": "nilakay/nbme-deberta", "kernel_id": "25900181"}, {"ref": "nilakay/fork-of-nbme-eda", "kernel_id": "25085621"}, {"ref": "dnyaneshwalwadkar/nbme-eda-full-pipeline-prediction", "kernel_id": "25649869"}, {"ref": "gopalgoyal612002/debearta", "kernel_id": "25368822"}, {"ref": "ritwiksingh99/eda-nbme-1", "kernel_id": "25109158"}, {"ref": "autocovolution/nbme-deberta-base-baseline-inference", "kernel_id": "25413528"}, {"ref": "daisybbb/train-deberta-v3-large-baseline", "kernel_id": "25129018"}, {"ref": "daisybbb/roberta-strikes-back", "kernel_id": "25593011"}, {"ref": "daisybbb/nbme-score-clinical-patient-notes-using-roberta", "kernel_id": "25582406"}, {"ref": "jaytatiya/submission-csv", "kernel_id": "25995254"}, {"ref": "okanzkaya/detailed-eda-with-pie-charts-and-scatter-plots", "kernel_id": "25007233"}, {"ref": "okanzkaya/deberta-pip-wheels", "kernel_id": "25747142"}, {"ref": "thanhns/deberta-v3-large-0-883-lb", "kernel_id": "25141740"}, {"ref": "youneskhandouch/nbme-score-clinical-patient-notes", "kernel_id": "25978851"}, {"ref": "zhangshenggo/zs-deberta-v3-large-baseline-deepshare", "kernel_id": "25725151"}, {"ref": "joaomalheiros/estudo-nbme-tensorflow-bert-baseline", "kernel_id": "25355867"}, {"ref": "jijiejijie/deberta-flra5-5fold", "kernel_id": "25424324"}, {"ref": "cpmpml/sub-nbm-315", "kernel_id": "26550107"}, {"ref": "cpmpml/sub-ensemble-010", "kernel_id": "26375264"}, {"ref": "hengck23/playground-for-meta-pseudo-label", "kernel_id": "26067724"}, {"ref": "niallm/iterate-like-a-grandmaster-submission-misc", "kernel_id": "26259701"}, {"ref": "motloch/nbme-example-training-of-deberta-v3-large", "kernel_id": "26011965"}, {"ref": "motloch/demonstrating-pseudolabelling-on-mnist", "kernel_id": "26371939"}, {"ref": "motloch/nbme-study-errors", "kernel_id": "26482769"}, {"ref": "whitelily/how-many-ranks-shake-up-after-finalized", "kernel_id": "26790212"}, {"ref": "takoihiraokazu/ex038-save", "kernel_id": "26515144"}, {"ref": "takoihiraokazu/ex041-save", "kernel_id": "26515232"}, {"ref": "junaidqazi/nbme-final-train-test-eda-understand-data", "kernel_id": "26045570"}, {"ref": "gauravbrills/nbme-augmentations", "kernel_id": "26463820"}, {"ref": "blankaf/nbme-deberta-v3-large-trainf24", "kernel_id": "26703294"}, {"ref": "raghavendrakotala/training-baseline-deberta-trainer-compute-loss", "kernel_id": "26103406"}, {"ref": "raghavendrakotala/pseudo-model-similtaniously-training-with-deberta", "kernel_id": "26175549"}, {"ref": "raghavendrakotala/inference-deberta-trainer-compute-loss-datasets", "kernel_id": "26207012"}, {"ref": "lhd0430/nbme-score-clinical-patient-notes", "kernel_id": "26080941"}, {"ref": "currypurin/nbme-mlm", "kernel_id": "26855619"}, {"ref": "currypurin/nbme-final-submit-currypurin", "kernel_id": "26746456"}, {"ref": "junkoda/fast-awp", "kernel_id": "26037092"}, {"ref": "apap950419/relative-positions-of-annotations-within-notes", "kernel_id": "26071102"}, {"ref": "diamondlee/train-roberta-large-nbme", "kernel_id": "26145711"}, {"ref": "rotemhon/nbme-bert", "kernel_id": "26054312"}, {"ref": "neos960518/ensembling-deberta-models-bronze-medal-top-8", "kernel_id": "26302694"}, {"ref": "yasufuminakama/sub-ex038-ex041-ex051-fold4-nex141-lb-best", "kernel_id": "26753286"}, {"ref": "arunamenon/nbme-error-analysis", "kernel_id": "26765934"}, {"ref": "conjuring92/nbme-meta-pseudo-labels", "kernel_id": "26789880"}, {"ref": "nqbinh17/roberta-error-analysis", "kernel_id": "26028050"}, {"ref": "xiamaozi11/fork-of-fork-of-deberta-v1-v2-v3-ensemble-thres", "kernel_id": "26689097"}, {"ref": "sachinkumar413/nbme-v1-0", "kernel_id": "26491371"}, {"ref": "anyai28/fast-inference-by-padding-optimization", "kernel_id": "26362265"}, {"ref": "nbroad/deberta-mlm-tests-nbme", "kernel_id": "26522768"}, {"ref": "guang1119/train-deberta-v3-large", "kernel_id": "26886117"}, {"ref": "zhoumichael/v3-large-large-large-mnli-xlarge", "kernel_id": "26568907"}, {"ref": "samdm3/nbme-distilbert", "kernel_id": "26786381"}, {"ref": "zacchaeus/nbme-infer-blend", "kernel_id": "26699308"}, {"ref": "arunaabhpant/nbme-deberta-base-baseline-inference", "kernel_id": "26344775"}, {"ref": "jaredslone/hopeless-ensemble", "kernel_id": "26399225"}, {"ref": "tanyadayanand/nbme-bert-base-uncased-using-pytorch", "kernel_id": "26456666"}, {"ref": "sakamotoyuto/notebookf3f6ba8fa5", "kernel_id": "26139882"}, {"ref": "jefferyott/jeru-madottkar", "kernel_id": "26483184"}, {"ref": "mrinmoysarkerturja/nbme-deberta", "kernel_id": "26158461"}, {"ref": "kerenhalevy/nmbe-bio-medical-bert", "kernel_id": "26133543"}, {"ref": "henriqueabpassos/nbme-map-trainning-inputs-and-outputs", "kernel_id": "26297244"}, {"ref": "henriqueabpassos/nbme-truncated-vocabulary", "kernel_id": "26294725"}, {"ref": "henriqueabpassos/nbme-creating-vocabulary", "kernel_id": "26159813"}, {"ref": "henriqueabpassos/nbme-train-all-models-from-trainning", "kernel_id": "26320524"}, {"ref": "henriqueabpassos/nbme-map-no-trainning-inputs-for-self-learning", "kernel_id": "26322271"}, {"ref": "henriqueabpassos/nbme-self-train-all-models", "kernel_id": "26322284"}, {"ref": "henriqueabpassos/nbme-submit-direct-train", "kernel_id": "26334957"}, {"ref": "henriqueabpassos/nbme-submit-self-train", "kernel_id": "26344422"}, {"ref": "wujingpu/nbme-ensemble-debertas", "kernel_id": "26341258"}, {"ref": "syzong/fork-of-893-fast-test-02e8e7", "kernel_id": "26642376"}, {"ref": "michelbrabants/patient-notes-8a-10g", "kernel_id": "26676749"}, {"ref": "liampay/nbme-infer", "kernel_id": "26066975"}, {"ref": "fightingmuscle/ensemble-last", "kernel_id": "26742538"}, {"ref": "joanyeo/nbme-hf-distilbert-2train", "kernel_id": "26716317"}, {"ref": "abdulkadirguner/29nisan-single-folds-final", "kernel_id": "26668014"}, {"ref": "renokan/two-large-deberts-and-np-max-as-additional-fold", "kernel_id": "26646358"}, {"ref": "nestorteodorochavez/nbme-deberta-infer-kn95", "kernel_id": "26491799"}, {"ref": "ironluu/nbme-constant", "kernel_id": "26068745"}, {"ref": "yankangzhou/train-pubmed-bert", "kernel_id": "26249020"}, {"ref": "yankangzhou/train-nbme-deberta", "kernel_id": "26222839"}, {"ref": "autocovolution/deberta-mlm-tests-nbme", "kernel_id": "26563382"}, {"ref": "autocovolution/deberta-v3-large-baseline-train", "kernel_id": "26427034"}, {"ref": "andrewmanigault/nbme-toa", "kernel_id": "26459718"}, {"ref": "daisybbb/pytorch-pubmedbert-nbme", "kernel_id": "26353075"}, {"ref": "daisybbb/pytorch-pubmedbert", "kernel_id": "26411321"}, {"ref": "daisybbb/pytorch-pubmedbert-infer", "kernel_id": "26512381"}, {"ref": "daisybbb/nbme-deberta-train", "kernel_id": "26163764"}, {"ref": "daisybbb/infer-deberta-v3-large-baseline", "kernel_id": "26164598"}, {"ref": "daisybbb/nbme-pubmedbert-infer", "kernel_id": "26205034"}, {"ref": "daisybbb/train-distillbert", "kernel_id": "26281357"}, {"ref": "daisybbb/nmbe-tpu-training", "kernel_id": "26255696"}, {"ref": "mkagglemm/nbme-deberta-base-baseline-train", "kernel_id": "26000826"}, {"ref": "llixxin/nbme-deberta-base-baseline-train", "kernel_id": "26025043"}, {"ref": "llibinn/nbme-constant", "kernel_id": "26123503"}, {"ref": "llnovall/nbme-submission-7", "kernel_id": "26438434"}, {"ref": "tiehanyu/nbme-deberta-base-baseline-train-lstm", "kernel_id": "26187919"}, {"ref": "zyaibi/tutorial-code-demonstration", "kernel_id": "26412231"}, {"ref": "mafuf42/nbme-deberta-v3-large-train-fold-0", "kernel_id": "26092083"}, {"ref": "chenshengabc/fork-of-fork-of-funnel-deberta-tiao-yuzhi-0-d540ae", "kernel_id": "27141922"}, {"ref": "arunamenon/nbme-results-showcase", "kernel_id": "27688794"}, {"ref": "joanyeo/nmbe-pytorch", "kernel_id": "27355142"}, {"ref": "robheft/clinical-patient-note-scoring-nbme-v1", "kernel_id": "28414885"}, {"ref": "dishantkumbhar/pytorch-lightning-using-roberta", "kernel_id": "28979474"}, {"ref": "stephanieyflu/nbme-tokenizer", "kernel_id": "28394048"}, {"ref": "stephanieyflu/v15-nbme-caseandpunctuation", "kernel_id": "28490197"}, {"ref": "anjanakavid/nbme-clinical-patient-notes-eda", "kernel_id": "30145855"}, {"ref": "freaad/playground-for-meta-pseudo-label", "kernel_id": "31016644"}, {"ref": "rebeccadifrancesco/pytorch-bert-baseline-nbme", "kernel_id": "31968515"}, {"ref": "tonymarkchris/nbme-meta-pseudo-labels", "kernel_id": "31649810"}, {"ref": "gazu468/all-about-bert-you-need-to-know", "kernel_id": "32665951"}, {"ref": "rebeccadifrancesco/final", "kernel_id": "32790992"}, {"ref": "gengchensun/nbme-meta-pseudo-labels", "kernel_id": "32498692"}, {"ref": "kkumikk/pytorch-bert-baseline-nbme", "kernel_id": "32565285"}, {"ref": "irenecampillopereda/notebookc0b568b447", "kernel_id": "32790631"}, {"ref": "rebeccadifrancesco/nbme-pytorch-ner", "kernel_id": "33695526"}, {"ref": "varunragul19mia1085/score-clinical-notes", "kernel_id": "35388024"}, {"ref": "shrikrishnaparab/keyword-extraction-nlp-techniques", "kernel_id": "35575593"}, {"ref": "aryamgomez/dummsub", "kernel_id": "37805137"}, {"ref": "brennanmitchell/final-submission", "kernel_id": "38177457"}, {"ref": "mohammadjavadjafari/nlp-group", "kernel_id": "39129196"}, {"ref": "zehrakorkusuz/nbme-deberta-base-baseline-train", "kernel_id": "40634865"}, {"ref": "princedobariya/patient-notes-analyzer", "kernel_id": "44792233"}, {"ref": "ahmedemadeldeen/notebookc3ed4ee857", "kernel_id": "48869945"}, {"ref": "ahmedemadeldeen/qa-ner-hybrid-train-nbme", "kernel_id": "48461569"}, {"ref": "momostafa2771/notebookbca602e5d0", "kernel_id": "48921821"}, {"ref": "michaelhany510/notebookbca602e5d0", "kernel_id": "48886313"}, {"ref": "mohabghobashy/notebookc3ed4ee857", "kernel_id": "48916154"}, {"ref": "alaboussarsar/tensorflow-transformers-baseline-for-beginners", "kernel_id": "48468482"}, {"ref": "atishabhattacharyya/patient-notes-analyzer", "kernel_id": "49250949"}, {"ref": "rangerdanger/assignment-04", "kernel_id": "50833937"}, {"ref": "kelseyspeis/ks-nbme-data-exploration", "kernel_id": "53617385"}, {"ref": "kelseyspeis/ks-nbme-submission-1", "kernel_id": "53843562"}, {"ref": "kelseyspeis/ks-nbme-deberta-base-baseline-train", "kernel_id": "54988619"}, {"ref": "kelseyspeis/ks-nbme-final-project-summary", "kernel_id": "55314238"}, {"ref": "kelseyspeis/ks-nbme-submission", "kernel_id": "55317617"}, {"ref": "kelseyspeis/ks-nbme-model-training", "kernel_id": "55082542"}, {"ref": "kelseyspeis/nbme-deberta-base-baseline-inference", "kernel_id": "55076845"}, {"ref": "siddhxrth/tensorflow-transformers-baseline-for-beginners", "kernel_id": "55902835"}, {"ref": "lokavya007/snu-nlp-grp18", "kernel_id": "55904689"}, {"ref": "ghali007/nlp-note-patient", "kernel_id": "65255697"}, {"ref": "dnganhth/keywords-test", "kernel_id": "69053308"}, {"ref": "dganhthu/keyphrase-keywords-extraction-using-rake", "kernel_id": "69051914"}, {"ref": "zehrakorkusuz/nbme-roberta-deberta-modernbert-tokenization", "kernel_id": "75816635"}, {"ref": "zehrakorkusuz/training-deberta-v3-large", "kernel_id": "75737408"}, {"ref": "zehrakorkusuz/nbme-token-classification-with-modern-bert", "kernel_id": "76513712"}, {"ref": "nocharon/nbme-nlp", "kernel_id": "82829589"}, {"ref": "mcps5601/notebookc5a9c9ffd8", "kernel_id": "83358964"}, {"ref": "hsuanyiwu/roberta", "kernel_id": "83382821"}, {"ref": "cheng1oo9/nbme-finalproject-v2-mixed-model-train", "kernel_id": "83663504"}, {"ref": "cheng1oo9/nbme-finalproject", "kernel_id": "83648943"}, {"ref": "rueitinglu/nbme-deberta-v1-train", "kernel_id": "83789291"}, {"ref": "rueitinglu/nbme-deberta-v1-inference", "kernel_id": "83977973"}, {"ref": "nocharon/dataaa", "kernel_id": "83033948"}, {"ref": "lillllllian/train-deberta-v3-large-baseline", "kernel_id": "83767960"}, {"ref": "sd00000sd/nbme-train-v3", "kernel_id": "83810179"}, {"ref": "rueitinglu/nbme-deberta-v1-train-1", "kernel_id": "84153208"}, {"ref": "lillllllian/nbme-pseudo-label-making", "kernel_id": "84754788"}, {"ref": "lillllllian/fast-awp", "kernel_id": "84193387"}, {"ref": "sd00000sd/nbme-deberta-v3-inference", "kernel_id": "84005729"}, {"ref": "minawagdy/nbme-deberta-base-model", "kernel_id": "105788164"}, {"ref": "krishnakarnan/qwen-ff", "kernel_id": "108135220"}, {"ref": "mathewnikhil/clinicalsense-medical-entity-linking-system", "kernel_id": "114613374"}, {"ref": "natbrian/3-kaggle-inference-nbme-score-clinical-v2", "kernel_id": "117555465"}, {"ref": "jialunguo004/deberta-large-lora-r32-5fold", "kernel_id": "118894335"}, {"ref": "jialunguo004/code-deberta-large-mlm-full-5fold", "kernel_id": "118993299"}, {"ref": "jialunguo004/code-deberta-large-full-5fold", "kernel_id": "118927673"}, {"ref": "shuruc/notebook770d150c35", "kernel_id": "119581852"}, {"ref": "namchinhhoathanh/ner-voai-2026", "kernel_id": "119447925"}, {"ref": "behrooz03/irproject-2", "kernel_id": "123026171"}, {"ref": "behrooz03/irproject-1", "kernel_id": "123009024"}]}
{"competition_id": "33611", "kernels": [{"ref": "robikscube/pog-on-youtube-lgbm-ensemble", "kernel_id": "23659464"}, {"ref": "robikscube/the-stallion-baseline-e01", "kernel_id": "23627653"}, {"ref": "robikscube/pog-youtube-thumbnail-exploration-and-tfrecords", "kernel_id": "23754616"}, {"ref": "robikscube/pog-thumbnail-embedding-features", "kernel_id": "23862742"}, {"ref": "maulberto3/pog-1-might-rf-text-model", "kernel_id": "23710166"}, {"ref": "michau96/pogmodel-lightgbm-fe-explanation", "kernel_id": "23924281"}, {"ref": "mmellinger66/pog-youtube-lgbm-optuna-blend", "kernel_id": "23683539"}, {"ref": "mpwolke/pog-series-shap-attempt", "kernel_id": "23726031"}, {"ref": "mpwolke/docarray-pog-thumbnails", "kernel_id": "23777988"}, {"ref": "mpwolke/pog-thumbnails-class-activation-maps-cam", "kernel_id": "23777356"}, {"ref": "mpwolke/augmentation-in-pog-thumbnails", "kernel_id": "23776044"}, {"ref": "mpwolke/shap-lgbm-cheated", "kernel_id": "23749752"}, {"ref": "mpwolke/pog-videos-likes-dislikes", "kernel_id": "23699062"}, {"ref": "mpwolke/qlattice-in-pog-series", "kernel_id": "23859742"}, {"ref": "nandankakadiya/pog-on-youtube-lgbm", "kernel_id": "23768169"}, {"ref": "sandhyakrishnan02/pog-on-youtube-lgbm", "kernel_id": "23893860"}, {"ref": "satoshiss/youtube-prediction-feature-eng", "kernel_id": "23929225"}, {"ref": "roberterffmeyer/word-embeddings-and-nns", "kernel_id": "23733372"}, {"ref": "roberterffmeyer/kaggle-pog-series-001-random-forests", "kernel_id": "23627644"}, {"ref": "demko1/ensemble", "kernel_id": "23669654"}, {"ref": "impostorengineer/pog-new-algorithms", "kernel_id": "23884873"}, {"ref": "impostorengineer/basic-linear-regression", "kernel_id": "23627718"}, {"ref": "ceshine/pog-1-gbm-training-inference", "kernel_id": "24430458"}, {"ref": "farazrahman/predict-youtube-video-likes-eda-baseline", "kernel_id": "24298608"}, {"ref": "robikscube/pog-on-youtube-likes-lgbm-thumbnail-embeddings", "kernel_id": "24036520"}, {"ref": "robikscube/youtube-likes-ensembling-101-blending", "kernel_id": "24227860"}, {"ref": "robikscube/pog-youtube-likes-svr-on-image-embedd", "kernel_id": "24351355"}, {"ref": "ravi07bec/why-no-like-my-youtube-content-top-10-public-lb", "kernel_id": "24442615"}, {"ref": "mohammedbuallay/youtube-prediction-feature-eng", "kernel_id": "24535914"}, {"ref": "amarlove/predict-youtube-video-likes-tabular-and-image-data", "kernel_id": "24088223"}, {"ref": "jiseubshin/pog-model-simple-fe-catboost-lgbm-ridge", "kernel_id": "24329191"}, {"ref": "igorkf/pog-series-1-fe-to-the-rescue-postprocessing", "kernel_id": "24577524"}, {"ref": "adipif/observation-mean", "kernel_id": "24393998"}, {"ref": "adipif/tag-loss-function-matrix", "kernel_id": "24527462"}, {"ref": "mananjhaveri/pog001-spacy-and-tfidf-features", "kernel_id": "24029095"}, {"ref": "mananjhaveri/pog-public-ensemble-new-ratios", "kernel_id": "24575176"}, {"ref": "mananjhaveri/pog001-best-model-public-0-01552", "kernel_id": "24567971"}, {"ref": "navaneethsharma2310/youtube-likes-view-prediction-eda-fe", "kernel_id": "24436220"}, {"ref": "sasakic/predict-youtube-tags-title", "kernel_id": "24115515"}, {"ref": "ferdaoustarhouni/youtube-video-likes", "kernel_id": "24421353"}, {"ref": "alaaeddinebenzekri/from-regression-to-lgbm-optuna-youtube-data", "kernel_id": "24549241"}, {"ref": "alaaeddinebenzekri/eda-and-feature-engineering-tutorial-youtube-data", "kernel_id": "24421344"}, {"ref": "fwziayasser/take-a-look-here", "kernel_id": "24166126"}, {"ref": "hassanshahin/youtube-feature-engineering-for-beginners", "kernel_id": "24153974"}, {"ref": "satoshiss/youtube-prediction-with-nn", "kernel_id": "24250584"}, {"ref": "roberterffmeyer/pog-series-1-f-e-no-train-test-leakage", "kernel_id": "24055503"}, {"ref": "roberterffmeyer/simple-prediction", "kernel_id": "24105155"}, {"ref": "roberterffmeyer/youtube-likes-ensembling-and-nn-embeds", "kernel_id": "24317657"}, {"ref": "roberterffmeyer/fork-of-word-embeddings-and-nns", "kernel_id": "24296266"}, {"ref": "rajeevnair676/youtube-like-prediction-eda", "kernel_id": "24435418"}, {"ref": "seholeee/youtube-prediction-practice", "kernel_id": "24039762"}, {"ref": "rahulmohan11/baseline-model", "kernel_id": "24131014"}, {"ref": "pranalibose/pog-series-analysis", "kernel_id": "24155457"}, {"ref": "pranalibose/youtube-likes-model-comparison", "kernel_id": "24518091"}, {"ref": "vadimabronin/help-a-novice-get-medal-like-my-solution-please", "kernel_id": "24241113"}, {"ref": "mahanmir1383/linear-regression1", "kernel_id": "24231990"}, {"ref": "paramagnetic/pog-bert", "kernel_id": "56557916"}, {"ref": "aryantuli/feature-engineering-basics", "kernel_id": "82280582"}, {"ref": "mlszhoreo/copy-of-pog-on-youtube-lgbm", "kernel_id": "122441705"}]}
{"competition_id": "33629", "kernels": []}
{"competition_id": "33630", "kernels": [{"ref": "shrivarsheni/football-kickoff-notebook", "kernel_id": "23800402"}, {"ref": "hariaakashk/fifa-notebook", "kernel_id": "23915476"}, {"ref": "hariaakashk/fifa-notebook-outputs", "kernel_id": "23916362"}, {"ref": "chetana14/fifa-notebook", "kernel_id": "23915006"}, {"ref": "chetana14/notebooke1e69505df", "kernel_id": "23918086"}, {"ref": "madtitan0210/tabnet-model", "kernel_id": "23915558"}, {"ref": "kaustubhmiglani/notebook65c6c1a22d", "kernel_id": "23999471"}, {"ref": "kaustubhmiglani/kick-off-predictions", "kernel_id": "23999646"}, {"ref": "arhitbosetagore/fifa-visualization-and-basic-modeling", "kernel_id": "23758305"}, {"ref": "dotepod/team-samosa-tree-submission", "kernel_id": "23918386"}]}
{"competition_id": "33631", "kernels": [{"ref": "monkira/faster-rcnn", "kernel_id": "40038052"}]}
{"competition_id": "33633", "kernels": [{"ref": "daniillitvinov/dota2-win-prediction-baseline", "kernel_id": "24657088"}]}
{"competition_id": "33638", "kernels": []}
{"competition_id": "33643", "kernels": []}
{"competition_id": "33644", "kernels": []}
{"competition_id": "33647", "kernels": []}
{"competition_id": "33656", "kernels": [{"ref": "donalflanagan/mushroom-identification", "kernel_id": "23691746"}, {"ref": "sahranjit77/group1-wbs-ranjit", "kernel_id": "23694736"}, {"ref": "kristinakunze/mushroom-classification-roc", "kernel_id": "23696382"}, {"ref": "kristinakunze/group2", "kernel_id": "23699199"}, {"ref": "sevgiakdeniz/mushroom-prediction", "kernel_id": "23694066"}, {"ref": "riasnazary/mushrooms-regr-rias", "kernel_id": "23700534"}, {"ref": "konstantinoskontovas/roc-and-auc-introduction", "kernel_id": "23691819"}, {"ref": "hanalaci/mushrooms-competition", "kernel_id": "23691241"}, {"ref": "andreasueberschaer/identifying-poisonous-mushrooms", "kernel_id": "23698771"}, {"ref": "akbarhuseynov23/god-save-catalan-mycophagists", "kernel_id": "23699187"}]}
{"competition_id": "33657", "kernels": [{"ref": "alincijov/nlp-starter-continuous-bag-of-words-cbow", "kernel_id": "9415350"}, {"ref": "abhishek/tez-training-phrase-matching", "kernel_id": "25632851"}, {"ref": "abhishek/phrase-matching-folds", "kernel_id": "25635381"}, {"ref": "abhishek/tez-inference-phrase-matching", "kernel_id": "25646384"}, {"ref": "danofer/cross-encoder-baseline-context", "kernel_id": "25665952"}, {"ref": "danofer/uspppm-huggingface-patent-bert", "kernel_id": "25637678"}, {"ref": "samarthagarwal23/0-81-tf-keras-deberta-baseline-single-model", "kernel_id": "25647928"}, {"ref": "rajankumar/baseline-semantical-similarity-using-spacy", "kernel_id": "25640222"}, {"ref": "nanditab35/patent-phrase-matching-eda", "kernel_id": "25919645"}, {"ref": "legorreta/traditional-approach-levenshtein", "kernel_id": "25626464"}, {"ref": "krdatascientist/notebookd2fe6b33ce", "kernel_id": "25804647"}, {"ref": "ldevyataykina/baseline-metric-choice", "kernel_id": "25881875"}, {"ref": "tanlikesmath/pretrained-sentence-transformer-model-baseline", "kernel_id": "25623416"}, {"ref": "tanlikesmath/u-s-patent-phrase-to-phrase-matching-simple-eda", "kernel_id": "25621458"}, {"ref": "damianpanek/first-look-into-data", "kernel_id": "25621565"}, {"ref": "damianpanek/bert-uncased-cosine-similarity-baseline", "kernel_id": "25633085"}, {"ref": "gpreda/us-patent-phrase-to-phrase-matching-eda", "kernel_id": "25943749"}, {"ref": "quincyqiang/pppm-deberta-v3-large-baseline-5cv-cls", "kernel_id": "25712045"}, {"ref": "anubhav1302/phrase-matching-quick-eda", "kernel_id": "25667355"}, {"ref": "anubhav1302/phrase-matching", "kernel_id": "25788068"}, {"ref": "yuliagm/starter-eda-context-and-anchor-checks", "kernel_id": "25622448"}, {"ref": "hengzheng/simpletransformers-kfolds-starter", "kernel_id": "25626249"}, {"ref": "mrlmarquez/us-phrase-matching-tf-keras-inference", "kernel_id": "25997998"}, {"ref": "sergioli212/pure-pytorch-for-abhishek-tez-model", "kernel_id": "25655759"}, {"ref": "shilpagopal/basic-string-matchers-hamming-levenshtein-jaro", "kernel_id": "25751876"}, {"ref": "dschettler8845/us-pp2pm-tfidf-baseline-rapids", "kernel_id": "25622774"}, {"ref": "npitsillos/basic-patent-data-eda", "kernel_id": "25648086"}, {"ref": "yasufuminakama/pppm-deberta-v3-large-baseline-inference", "kernel_id": "25653192"}, {"ref": "yasufuminakama/pppm-pip-wheels", "kernel_id": "25626251"}, {"ref": "yasufuminakama/pppm-deberta-v3-large-baseline-w-w-b-train", "kernel_id": "25626202"}, {"ref": "dwchen/create-a-stable-folds-for-training", "kernel_id": "25626793"}, {"ref": "arunamenon/phrase-to-phrase-match-inference", "kernel_id": "25975489"}, {"ref": "arunamenon/phrase-to-phrase-match-eda-modelling-deberta", "kernel_id": "25967852"}, {"ref": "mohamadmerchant/us-phrase-matching-tf-keras-train-tpu", "kernel_id": "25926881"}, {"ref": "mohamadmerchant/us-phrase-matching-tf-keras-inference", "kernel_id": "25944464"}, {"ref": "higepon/very-basic-eda", "kernel_id": "25667225"}, {"ref": "xhlulu/us-patent-phrase-matching-adding-meaning-of-code", "kernel_id": "25625929"}, {"ref": "santhoshkumarv/patentphrase-roberta-inference-lb-0-814", "kernel_id": "25701841"}, {"ref": "santhoshkumarv/phrase-matching-roberta-training-pytorch-wandb", "kernel_id": "25667290"}, {"ref": "znu808/uspppm-bertforpatent-keras-prediction", "kernel_id": "25914081"}, {"ref": "znu808/uspppm-bertforpatent-keras-train", "kernel_id": "25920504"}, {"ref": "vickeytomer/eda-modeling-beginner-friendly", "kernel_id": "25713514"}, {"ref": "hannes82/pppm-deberta-v3-large-closing-the-cv-lb-gap", "kernel_id": "25682107"}, {"ref": "hannes82/pppm-deberta-v3-large-inference-cv-0-829", "kernel_id": "25759408"}, {"ref": "gloomychan/pppm-sentence-bert-module-import", "kernel_id": "25660072"}, {"ref": "gloomychan/pppm-sentence-bert-pretrained-model-import", "kernel_id": "25658364"}, {"ref": "gloomychan/pppm-sentence-bert-v0-1", "kernel_id": "25659010"}, {"ref": "hasanbasriakcay/patent-phrase-matching-eda-fe-baseline", "kernel_id": "25639145"}, {"ref": "heyytanay/pytorch-lightning-training-roberta-large-kfolds", "kernel_id": "25659109"}, {"ref": "sohailshaik272/detailed-eda-for-patent-phrase", "kernel_id": "25625851"}, {"ref": "sohailshaik272/model-training-roberta-base", "kernel_id": "25674311"}, {"ref": "sohailshaik272/phrase-cross-validation-folds-using-score", "kernel_id": "25858597"}, {"ref": "nbroad/cross-encoder-baseline", "kernel_id": "25623830"}, {"ref": "pranay1990/basic-eda-and-data-preprocessing", "kernel_id": "25725152"}, {"ref": "columbia2131/uspppm-roberta-base-colab-baseline-inference", "kernel_id": "25633443"}, {"ref": "columbia2131/uspppm-roberta-base-colab-baseline-train", "kernel_id": "25632729"}, {"ref": "emirkocak/u-s-patent-phrase-first-look-eda", "kernel_id": "25636644"}, {"ref": "emirkocak/uspppm-patentsberta-baseline-inference", "kernel_id": "25654176"}, {"ref": "tensorchoko/u-s-patent-phrase-eda-en-jp", "kernel_id": "25637763"}, {"ref": "nishantbhansali/train-us-patent-part-1-simple-pytorch-22ab65", "kernel_id": "25851907"}, {"ref": "kalilurrahman/uspto-patent-similarity-eda-analysis", "kernel_id": "25628290"}, {"ref": "phantivia/uspppm-huggingface-train-inference-baseline", "kernel_id": "25625124"}, {"ref": "remekkinas/eda-and-feature-engineering", "kernel_id": "25621428"}, {"ref": "utcarshagrawal/usppm-complete-eda-pytorch-baseline", "kernel_id": "25650206"}, {"ref": "shubhamsindal0098/us-patent-phrase-to-phrase-matching", "kernel_id": "25703870"}, {"ref": "venkatkumar001/u-s-p-p-baseline-eda-dataprep", "kernel_id": "25647427"}, {"ref": "ilyesbouchelkia/us-patent-phrase-to-phrase-matching", "kernel_id": "25965771"}, {"ref": "bibhabasumohapatra/train-us-patent-part-1-simple-pytorch", "kernel_id": "25818478"}, {"ref": "bibhabasumohapatra/inference-us-patent-part-1-simple-pytorch", "kernel_id": "25855625"}, {"ref": "bhaveshkumar2806/us-patent-phrase-eda-plotly", "kernel_id": "25635386"}, {"ref": "hgchhrnb85/uspppm-roberta-inference", "kernel_id": "25992395"}, {"ref": "hgchhrnb85/uspppm-roberta-finetune", "kernel_id": "25986057"}, {"ref": "arijitbanerjee009/us-patent-phrase-to-phrase-matching", "kernel_id": "25752593"}, {"ref": "shigeeeru/uspppm-eda-submission", "kernel_id": "25627242"}, {"ref": "junjitakeshima/uspppm-simple-roberta-starter-eng", "kernel_id": "25748856"}, {"ref": "koalaswelcome/simple-roberta", "kernel_id": "25806356"}, {"ref": "dkdkdkdkw/competition-practice", "kernel_id": "25987718"}, {"ref": "lunapandachan/uspppm-nakama-s-small-change-infer", "kernel_id": "25928761"}, {"ref": "lunapandachan/uspppm-eda-v3", "kernel_id": "25828681"}, {"ref": "stgkrtua/environment-version-check", "kernel_id": "25671202"}, {"ref": "stgkrtua/pppm-deberta-v3-large-baseline-w-w-b-train", "kernel_id": "25665590"}, {"ref": "tc0000/uspppm-huggingface-train-inference-by-patent-bert", "kernel_id": "25626363"}, {"ref": "gopalgoyal612002/u-s-patent-phrase-to-phrase-matching-robert-base", "kernel_id": "25737459"}, {"ref": "bharathbn1998/us-patient-phrase-phrase-matching", "kernel_id": "25638341"}, {"ref": "ksork6s4/uspppm-dive-into-correlation-coefficient", "kernel_id": "25774546"}, {"ref": "ksork6s4/uspppm-bert-for-patents-baseline-train", "kernel_id": "25648652"}, {"ref": "ksork6s4/uspppm-bert-for-patents-baseline-inference", "kernel_id": "25648740"}, {"ref": "tejeswarmohapatra/patentphrase-roberta-inference-lb-0-814", "kernel_id": "25995575"}, {"ref": "jhoward/iterate-like-a-grandmaster", "kernel_id": "26252312"}, {"ref": "jhoward/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "26400571"}, {"ref": "orangeprince/notebook129e094f5a", "kernel_id": "26961738"}, {"ref": "niallm/iterate-like-a-grandmaster-submission-misc", "kernel_id": "26259701"}, {"ref": "pukkinming/let-s-understand-the-metrics-a-bit", "kernel_id": "26511476"}, {"ref": "mikemoloch/getting-started-in-nlp-for-absolute-beginners-aeam", "kernel_id": "26854868"}, {"ref": "aggarwalrahul/iterate-like-a-grandmaster-by-jeremy-howard", "kernel_id": "26285969"}, {"ref": "vietnhat/patent-submit", "kernel_id": "26335534"}, {"ref": "vietnhat/patent-phrase-matching", "kernel_id": "26333034"}, {"ref": "gauravbrills/folds-dump-the-two-paths-fix", "kernel_id": "26878292"}, {"ref": "shivarama/simple-sentence-similarity-matching", "kernel_id": "26259047"}, {"ref": "ohmeow/iterate-like-a-grandmaster-blurrified", "kernel_id": "26269073"}, {"ref": "narendra/simple-eda", "kernel_id": "26909921"}, {"ref": "narek1110/sbert-sentence-similarity-zero-shot", "kernel_id": "26924071"}, {"ref": "quincyqiang/pppm-useful-resources", "kernel_id": "26918480"}, {"ref": "quincyqiang/maskedlm-pretrain-for-deberat-v3-large", "kernel_id": "26996633"}, {"ref": "vbookshelf/hugging-face-trainer-a-classification-workflow", "kernel_id": "26033778"}, {"ref": "diamondlee/u-s-pppm-simple-ensemble-baseline", "kernel_id": "26928746"}, {"ref": "hutch1221/uspppm-inference", "kernel_id": "26686211"}, {"ref": "akshatpathak/us-patents", "kernel_id": "26738888"}, {"ref": "leekh7411/uspppm-deberta-v3-small-kor-ver", "kernel_id": "26706136"}, {"ref": "tenffe/notebooka37fe5ced2", "kernel_id": "26141140"}, {"ref": "aruthart/eda-and-baseline", "kernel_id": "26853820"}, {"ref": "aruthart/submission", "kernel_id": "26870508"}, {"ref": "miwojc/getting-started-with-nlp-offline-version", "kernel_id": "26445795"}, {"ref": "himanshubag/patent-matching-glove-embedding-lstm", "kernel_id": "26156902"}, {"ref": "himanshubag/fine-tuning-bert", "kernel_id": "26690322"}, {"ref": "ahsr0x76/tho-submission", "kernel_id": "26227455"}, {"ref": "stephanieeechang/cs-7634-project", "kernel_id": "26624084"}, {"ref": "kumapo/validation-strategy-stratified-group-k-fold", "kernel_id": "26811118"}, {"ref": "kumapo/pppm-deberta-v3-large-baseline-w-w-b-train", "kernel_id": "26810230"}, {"ref": "krsna540/tensorflow-nlp-semantic-textual-similarities", "kernel_id": "26757582"}, {"ref": "rajeshradhakrishnan/r003-gryffindor-nimbus-2000", "kernel_id": "26796959"}, {"ref": "perfectqing/model-without-custom-from-huggingface", "kernel_id": "26877991"}, {"ref": "rachanabisht/uspto-patent-phrase-matching-eda", "kernel_id": "26999716"}, {"ref": "chuka19952/nlp-patent-phrase-to-phrase-matching", "kernel_id": "26182412"}, {"ref": "yeungadrian/deberta-v3-classification", "kernel_id": "26919939"}, {"ref": "vikazrajpurohit/deberta-v3-large-transformer-head", "kernel_id": "26784230"}, {"ref": "vikazrajpurohit/bayesian-regression-sentence-embeddings", "kernel_id": "26601559"}, {"ref": "vikazrajpurohit/mixout-roberta-base-training", "kernel_id": "26467076"}, {"ref": "nilaychauhan/uspppm-starter-notebook-using-jax", "kernel_id": "26236513"}, {"ref": "ravin235/beginner-approach-targets-scores-eda-wordcloud", "kernel_id": "26993467"}, {"ref": "pranay1990/tensorflow-deberta-model-uspppm", "kernel_id": "26351521"}, {"ref": "arjunjanamatti/notebook8f847456aa", "kernel_id": "26576536"}, {"ref": "ainurbl/fine-tuning-bert-simple-and-straightforward", "kernel_id": "26946745"}, {"ref": "katsuyanomura/uspppm-eda", "kernel_id": "26164438"}, {"ref": "guanghan/train-us-patent-deepshare", "kernel_id": "26682400"}, {"ref": "tianzijing/pppm-infer-deberta-large-baseline-with-pl", "kernel_id": "26568631"}, {"ref": "tianzijing/pppm-train-deberta-large-baseline-with-pl", "kernel_id": "26569392"}, {"ref": "cabbage972/iterate-like-a-grandmaster-condensed", "kernel_id": "26371087"}, {"ref": "lonnieqin/u-s-patent-phrase-to-phrase-matching-with-tfhub", "kernel_id": "26505722"}, {"ref": "mattrosinski/nlp-with-transformers-and-deberta-v3-small", "kernel_id": "26576254"}, {"ref": "nayakroshan/uspppm-pytorch-lightning", "kernel_id": "26172659"}, {"ref": "nayakroshan/beginner-bert-for-patents-svr", "kernel_id": "26142803"}, {"ref": "sunilkrishnan/cpc-titles-usage", "kernel_id": "26681475"}, {"ref": "kutuz4/uspppm-bert-for-patents-baseline-train", "kernel_id": "26246544"}, {"ref": "agpriyanka/a-simple-lstm-approach", "kernel_id": "26740340"}, {"ref": "brucewaynew/pppm-roberta-large-train", "kernel_id": "26934085"}, {"ref": "vivekprajapati2048/upppm-training-tensorflow-tfbert", "kernel_id": "26450792"}, {"ref": "venkatkumar001/lets-try-1-i-o-features-glove-embed-with-lstm", "kernel_id": "26629418"}, {"ref": "venkatkumar001/nlp-starter1-almost-all-basic-concept", "kernel_id": "26362647"}, {"ref": "ishansharma13/eda-usppm", "kernel_id": "26152957"}, {"ref": "satya1013/patent-model", "kernel_id": "26497352"}, {"ref": "foolishboi/phrase-to-phrase-eda", "kernel_id": "26495808"}, {"ref": "arvinddevarkonda/semantic-similarity-creating-similarity-features", "kernel_id": "26206921"}, {"ref": "monsterslayer/notebook73d084273f", "kernel_id": "26916397"}, {"ref": "zainali60/eda-spacyphrasematching", "kernel_id": "26468538"}, {"ref": "zainali60/eda-pytorch-transformers-model", "kernel_id": "26423691"}, {"ref": "rkoirala129/finetuning-using-roberta-for-uppm", "kernel_id": "26144867"}, {"ref": "santosh1974/uspm-first-simple", "kernel_id": "26834878"}, {"ref": "pichenguang/pixx-train", "kernel_id": "26941749"}, {"ref": "luaubrey/uspppm-inference", "kernel_id": "26252726"}, {"ref": "luaubrey/preprocessing", "kernel_id": "26908430"}, {"ref": "luaubrey/bert-for-patent-fold3", "kernel_id": "26938996"}, {"ref": "luaubrey/single-model-inference", "kernel_id": "26959973"}, {"ref": "michaelrocchio/multimodal-transformer-embedding-keras", "kernel_id": "26625779"}, {"ref": "jellyz9/tips-for-ensembling-predictions", "kernel_id": "26591499"}, {"ref": "brandonhu0215/patent-bert", "kernel_id": "26755383"}, {"ref": "abdelrahmanhassanein/ptp-matching-eda", "kernel_id": "26277298"}, {"ref": "abdelrahmanhassanein/ptp-matching-siamese-lstm", "kernel_id": "26296491"}, {"ref": "abdelrahmanhassanein/ptp-matching-sentence-transformers", "kernel_id": "26566517"}, {"ref": "abdelrahmanhassanein/ptp-matching-bert-for-patents-keras-training", "kernel_id": "26543868"}, {"ref": "valentinwerner/in-depth-eda-3-model-ensemble", "kernel_id": "26588676"}, {"ref": "tdhoangp/uspatentphrasetophrase", "kernel_id": "26875728"}, {"ref": "minaejeon2/self-test", "kernel_id": "26781166"}, {"ref": "demko1/u-s-patent-phrase-rf-baseline", "kernel_id": "26083205"}, {"ref": "jon12132114zhang/uspppm-huggingface-patent-bert", "kernel_id": "26115975"}, {"ref": "yuutahasegawa/uspppm-eda", "kernel_id": "26198770"}, {"ref": "jamesnakano/patent-work-notebook", "kernel_id": "26546744"}, {"ref": "edmundtang/notebookeda686beaf", "kernel_id": "26040236"}, {"ref": "okanzkaya/deberta-mini-st5k", "kernel_id": "26327657"}, {"ref": "okanzkaya/pppm-deberta-v3-large-baseline-train", "kernel_id": "26794639"}, {"ref": "okanzkaya/pppm-deberta-v3-large-baseline-inference", "kernel_id": "26995133"}, {"ref": "bmhjhu/deberta-v3-w-early-stopping", "kernel_id": "26731134"}, {"ref": "brunogianesi/patent-phrase-to-phrase-matching-baseline", "kernel_id": "26211240"}, {"ref": "amosditto/model-v2", "kernel_id": "26579220"}, {"ref": "jiabll/patent-c", "kernel_id": "26545616"}, {"ref": "nagashimakeisuke/eda-and-feature-engineering", "kernel_id": "26201629"}, {"ref": "opanhw/patent-phrase-match", "kernel_id": "26762717"}, {"ref": "opanhw/fork-of-patent-phrase-match-d013f5", "kernel_id": "26857821"}, {"ref": "opanhw/pppm-deberta-v3-large-closing-the-cv-lb-ga-ac84ea", "kernel_id": "26901214"}, {"ref": "opanhw/fork-of-patent-phrase-match-05050f", "kernel_id": "26882894"}, {"ref": "opanhw/fork-of-patent-phrase-match-1f3fa6", "kernel_id": "26881755"}, {"ref": "yousefessam37/deberta-v3-large-transformer-head", "kernel_id": "26915978"}, {"ref": "maxverstappen/pppm-deberta-v3-large-baseline-max-inference", "kernel_id": "26961132"}, {"ref": "sujitpal/02-uspto-phrase-matching", "kernel_id": "27067051"}, {"ref": "sujitpal/01-uspto-phrase-matching", "kernel_id": "27123569"}, {"ref": "goldenlock/usp-base", "kernel_id": "27005001"}, {"ref": "ceshine/sentence-t5-base-baseline-no-training", "kernel_id": "27102967"}, {"ref": "ceshine/sentence-t5-3b-baseline-no-training", "kernel_id": "27153472"}, {"ref": "lutalica/investigating-pre-trained-models-for-phrase-match", "kernel_id": "27747873"}, {"ref": "bkanupam/us-pppm-meta-inference", "kernel_id": "27625970"}, {"ref": "bkanupam/us-pppm-maskedlm-pretrain-deberta-v3-small", "kernel_id": "27218883"}, {"ref": "witoldszejgis/notebook8da6703f16", "kernel_id": "27344674"}, {"ref": "purplejester/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "27145010"}, {"ref": "purplejester/iterate-like-a-grandmaster", "kernel_id": "27145027"}, {"ref": "kotikkonstantin/length-sort-batch-sampler-w-1st-max-length-batch", "kernel_id": "27770895"}, {"ref": "gauravbrills/scipy-voting-pppm-ensemble", "kernel_id": "27856057"}, {"ref": "blankaf/patent-na-rozum-sgk", "kernel_id": "27631536"}, {"ref": "blankaf/patent-na-rozum-norma", "kernel_id": "27820736"}, {"ref": "narendra/uspppm-deberta-ensemble-v2-infer", "kernel_id": "27863593"}, {"ref": "narendra/uspatent-deberta-section-group-train", "kernel_id": "27206453"}, {"ref": "snnclsr/bert-for-patents-baseline-pseudolabelling-train", "kernel_id": "27340222"}, {"ref": "amitabhphatak/phrase-similarity", "kernel_id": "27223468"}, {"ref": "skiplik/first-nlp-project-w-tf-keras-roberta", "kernel_id": "27234884"}, {"ref": "rilkewang/uspppm-bert-for-patents-baseline-train", "kernel_id": "27447827"}, {"ref": "cenzop/uspppm-predictions", "kernel_id": "27979975"}, {"ref": "cenzop/uspppm-cross-encoders-training-with-r-reticulate", "kernel_id": "27997724"}, {"ref": "azum91/us-patent-data-analysis", "kernel_id": "27329507"}, {"ref": "neos960518/bronze-pppm-ensemble-mse-ver", "kernel_id": "27246837"}, {"ref": "neos960518/bronze-ensemble-best-only", "kernel_id": "27989186"}, {"ref": "falreis/falreis-notebook-tf-idf", "kernel_id": "27632123"}, {"ref": "narnaoot/us-patent-phrase-to-phrase-matching-simple-model", "kernel_id": "27582348"}, {"ref": "narnaoot/patent-to-patent-4", "kernel_id": "27518139"}, {"ref": "narnaoot/installing-packages-without-internet-for-kaggle", "kernel_id": "27120992"}, {"ref": "aalexl/getting-started-with-nlp-offline-version", "kernel_id": "27011119"}, {"ref": "tanmoyai/minimatcher", "kernel_id": "27058093"}, {"ref": "soumochatterjee/phrase-to-phrase-match-exploratory-data-analysis", "kernel_id": "27266370"}, {"ref": "bhavesjain/infer-deberta-single-class-k-fold", "kernel_id": "27766967"}, {"ref": "bhavesjain/infer-deberta-single-class", "kernel_id": "27610026"}, {"ref": "bhavesjain/train-w-context-deberta", "kernel_id": "27391833"}, {"ref": "bhavesjain/train-baseline-bert-w-o-context", "kernel_id": "27326068"}, {"ref": "bhavesjain/infer-baseline-bert-w-o-context", "kernel_id": "27367907"}, {"ref": "bhavesjain/inference-w-context-deberta", "kernel_id": "27462173"}, {"ref": "bhavesjain/train-deberta-single-class", "kernel_id": "27472922"}, {"ref": "jaloeffe92/advanced-feature-engineering-with-deberta", "kernel_id": "27227129"}, {"ref": "apocarus/pppm-sentence-bert-v0-1", "kernel_id": "27076971"}, {"ref": "apocarus/uspppm-bert-for-patents-various-models", "kernel_id": "27058673"}, {"ref": "terovaleriya/my-patent-phrase", "kernel_id": "27188691"}, {"ref": "saurabhmishra98/train-baseline-bert-w-o-context", "kernel_id": "27472232"}, {"ref": "tanyapridonyants/notebookc5ab98de57", "kernel_id": "27189639"}, {"ref": "tanyapridonyants/u-s-patent-phrase-to-phrase-matching", "kernel_id": "27175897"}, {"ref": "katsuyanomura/deberta-v3-small", "kernel_id": "27259116"}, {"ref": "bharadwajvedula/pppm-tpu-high-speed-bert-training", "kernel_id": "27229276"}, {"ref": "bharadwajvedula/pppm-tpu-high-speed-patentsberta-training", "kernel_id": "27760299"}, {"ref": "guanghan/train", "kernel_id": "27059184"}, {"ref": "tauilabdelilah/data-augmentation-translation", "kernel_id": "27166751"}, {"ref": "taurids/bert-more", "kernel_id": "27061075"}, {"ref": "atharvaingle/uspppm-inference-ensemble-hill-climbing", "kernel_id": "27071526"}, {"ref": "atharvaingle/uspppm-checkpoints-92-96", "kernel_id": "27492571"}, {"ref": "atharvaingle/uspppm-checkpoints-100-104", "kernel_id": "27570625"}, {"ref": "atharvaingle/uspppm-checkpoints-105", "kernel_id": "27570653"}, {"ref": "atharvaingle/uspppm-checkpoints-95-99", "kernel_id": "27538407"}, {"ref": "atharvaingle/uspppm-checkpoints-106-107", "kernel_id": "27594384"}, {"ref": "atharvaingle/uspppm-checkpoints-108-109", "kernel_id": "27594436"}, {"ref": "atharvaingle/uspppm-checkpoints-110-111", "kernel_id": "27594454"}, {"ref": "atharvaingle/uspppm-checkpoints-121-123", "kernel_id": "27656389"}, {"ref": "atharvaingle/uspppm-checkpoints-124-126", "kernel_id": "27656408"}, {"ref": "atharvaingle/uspppm-checkpoints-112", "kernel_id": "27637966"}, {"ref": "atharvaingle/uspppm-checkpoints-113-115", "kernel_id": "27638045"}, {"ref": "atharvaingle/uspppm-checkpoints-116-118", "kernel_id": "27638066"}, {"ref": "atharvaingle/uspppm-checkpoints-119-120", "kernel_id": "27638092"}, {"ref": "atharvaingle/uspppm-checkpoints-200", "kernel_id": "27987081"}, {"ref": "atharvaingle/uspppm-checkpoints-204-205", "kernel_id": "27987102"}, {"ref": "atharvaingle/uspppm-checkpoints-196", "kernel_id": "27987047"}, {"ref": "atharvaingle/uspppm-checkpoints-206-207", "kernel_id": "27992935"}, {"ref": "atharvaingle/uspppm-checkpoints-208-209", "kernel_id": "27993367"}, {"ref": "atharvaingle/uspppm-checkpoints-197", "kernel_id": "27993605"}, {"ref": "atharvaingle/uspppm-checkpoints-198", "kernel_id": "27999008"}, {"ref": "atharvaingle/uspppm-checkpoints-199", "kernel_id": "27999034"}, {"ref": "atharvaingle/uspppm-checkpoints-184", "kernel_id": "27980123"}, {"ref": "atharvaingle/uspppm-checkpoints-182-183", "kernel_id": "27973559"}, {"ref": "atharvaingle/uspppm-checkpoints-179-181", "kernel_id": "27971547"}, {"ref": "atharvaingle/uspppm-checkpoints-164-166", "kernel_id": "27940237"}, {"ref": "atharvaingle/uspppm-checkpoints-167-168", "kernel_id": "27940400"}, {"ref": "atharvaingle/uspppm-checkpoints-169-170", "kernel_id": "27940429"}, {"ref": "atharvaingle/uspppm-checkpoints-171-172", "kernel_id": "27940494"}, {"ref": "atharvaingle/uspppm-checkpoints-173-174", "kernel_id": "27940522"}, {"ref": "atharvaingle/uspppm-checkpoints-175-176", "kernel_id": "27940565"}, {"ref": "atharvaingle/uspppm-checkpoints-177-178", "kernel_id": "27940586"}, {"ref": "atharvaingle/uspppm-checkpoints-158-161", "kernel_id": "27890426"}, {"ref": "atharvaingle/uspppm-checkpoints-162-163", "kernel_id": "27890447"}, {"ref": "atharvaingle/uspppm-checkpoints-155-157", "kernel_id": "27881472"}, {"ref": "atharvaingle/uspppm-checkpoints-145-148", "kernel_id": "27857387"}, {"ref": "atharvaingle/uspppm-checkpoints-149", "kernel_id": "27857451"}, {"ref": "atharvaingle/uspppm-checkpoints-151", "kernel_id": "27864083"}, {"ref": "atharvaingle/uspppm-checkpoints-152", "kernel_id": "27864162"}, {"ref": "atharvaingle/uspppm-checkpoints-153", "kernel_id": "27864174"}, {"ref": "atharvaingle/uspppm-checkpoints-154", "kernel_id": "27864190"}, {"ref": "atharvaingle/uspppm-checkpoints-139-140", "kernel_id": "27769787"}, {"ref": "atharvaingle/uspppm-checkpoints-137-138", "kernel_id": "27769631"}, {"ref": "atharvaingle/uspppm-checkpoints-141-142-144", "kernel_id": "27769810"}, {"ref": "atharvaingle/uspppm-checkpoints-143", "kernel_id": "27778496"}, {"ref": "atharvaingle/uspppm-checkpoints-129-130", "kernel_id": "27739445"}, {"ref": "atharvaingle/uspppm-checkpoints-131-133", "kernel_id": "27739482"}, {"ref": "atharvaingle/uspppm-checkpoints-135-136", "kernel_id": "27739502"}, {"ref": "atharvaingle/uspppm-checkpoints-127-128", "kernel_id": "27739418"}, {"ref": "atharvaingle/uspppm-checkpoints-134", "kernel_id": "27741789"}, {"ref": "netgvarun2005/notebookgpu", "kernel_id": "27900964"}, {"ref": "cabbage972/pppm-model-tokenization-eda", "kernel_id": "27310433"}, {"ref": "cabbage972/faiss-starter-pack-k-nn-search-for-cpc-titles", "kernel_id": "27549654"}, {"ref": "cabbage972/pppm-parsing-chemical-formulas", "kernel_id": "27715534"}, {"ref": "fankaixie/upppm-exp61-output", "kernel_id": "27918531"}, {"ref": "fankaixie/upppm-exp70-output", "kernel_id": "27983632"}, {"ref": "fankaixie/upppm-exp69-output", "kernel_id": "27979907"}, {"ref": "fankaixie/upppm-exp63-output", "kernel_id": "27948331"}, {"ref": "fankaixie/upppm-exp62-output", "kernel_id": "27947490"}, {"ref": "fankaixie/upppm-exp64-output", "kernel_id": "27935116"}, {"ref": "fankaixie/upppm-exp32-output", "kernel_id": "27775915"}, {"ref": "fankaixie/upppm-exp49-output", "kernel_id": "27791283"}, {"ref": "fankaixie/upppm-exp39", "kernel_id": "27704264"}, {"ref": "fankaixie/upppm-exp40", "kernel_id": "27716396"}, {"ref": "fankaixie/upppm-exp38", "kernel_id": "27693666"}, {"ref": "nischaydnk/stacking-v0-w-electra", "kernel_id": "27664657"}, {"ref": "tanyadayanand/sentence-transformer-cosine-similaritybeginner", "kernel_id": "27302022"}, {"ref": "kutuz4/uspppm-bert-for-patents-baseline-inference", "kernel_id": "27228889"}, {"ref": "mikhaildonskoy/eda-u-s-patent-phrase-for-beginners", "kernel_id": "27386251"}, {"ref": "tymd34711/pppm-deberta-v3-large-baseline-w-w-b-train", "kernel_id": "27355553"}, {"ref": "kathygao/196v2", "kernel_id": "27874957"}, {"ref": "kathygao/fcbert5fold", "kernel_id": "27277601"}, {"ref": "kathygao/a-little-work", "kernel_id": "27098244"}, {"ref": "afiaibnath/deberta-v3-small-wkpooling-inference", "kernel_id": "27666417"}, {"ref": "brucewaynew/deberta-large-5fold", "kernel_id": "27441273"}, {"ref": "surilee/inference-bert-for-uspatents-deepshare", "kernel_id": "27242595"}, {"ref": "surilee/train-us-patent-deepshare", "kernel_id": "27442114"}, {"ref": "surilee/train-us-tricks-patent-deepshare", "kernel_id": "27645510"}, {"ref": "zeebanavas/nlp-patent-phrase-to-phrase-matching", "kernel_id": "27287708"}, {"ref": "harshbansal27/creating-a-combined-dataset", "kernel_id": "27362989"}, {"ref": "harshbansal27/transformers-for-beginers", "kernel_id": "27245871"}, {"ref": "harshbansal27/creating-of-stratifiedkfold", "kernel_id": "27212808"}, {"ref": "serkanoral/tidytext-r", "kernel_id": "27760040"}, {"ref": "tracyporter/patent-phrase-similarity-spacy", "kernel_id": "27847033"}, {"ref": "tracyporter/patent-phrase-similarity-cosine", "kernel_id": "27852356"}, {"ref": "tracyporter/patent-phrase-similarity-sequencematcher", "kernel_id": "27853086"}, {"ref": "tracyporter/patent-phrase-similarity-spacy-quarter", "kernel_id": "27871960"}, {"ref": "tracyporter/patent-phrase-similarity-tfidf", "kernel_id": "27867347"}, {"ref": "tracyporter/patent-phrase-similarity-dt-spacy", "kernel_id": "27860777"}, {"ref": "venkatkumar001/nlp-starter2-hf-pretrain-finetune", "kernel_id": "27320823"}, {"ref": "venkatkumar001/simpletransformers-bert-model-1-input-kfold", "kernel_id": "27935550"}, {"ref": "venkatkumar001/transformeranatomy-encoder", "kernel_id": "27851126"}, {"ref": "nelumbolutea/eda-solve-problem-as-multiclass-classification", "kernel_id": "27412927"}, {"ref": "takeshisuzuki/patent-train-0614", "kernel_id": "27923495"}, {"ref": "skloveyyp/2-deberta-1-roberta-analysis-and-using", "kernel_id": "27841295"}, {"ref": "hongheee/patentsberta-baseline", "kernel_id": "27133092"}, {"ref": "ashishkattel/u-s-patent-phrase-to-phrase-matching-tfidf", "kernel_id": "27221746"}, {"ref": "yuichit/phrase-matching-roberta-training-pytorch-wandb", "kernel_id": "27076514"}, {"ref": "jaysenshi/patent", "kernel_id": "27586888"}, {"ref": "alishaangdembe/phrasematching-nlp", "kernel_id": "27204703"}, {"ref": "e94076039/notebookcffa05e99f", "kernel_id": "27286612"}, {"ref": "jaeahjoah/btmpreprocessing", "kernel_id": "27216527"}, {"ref": "jaeahjoah/ldaprocessing2", "kernel_id": "27161897"}, {"ref": "jaeahjoah/ldaprocessing", "kernel_id": "27153755"}, {"ref": "himanshutripathi/uspppm-baseline-glove-vectors", "kernel_id": "27096992"}, {"ref": "himanshutripathi/using-de-berta-v3-small", "kernel_id": "27105319"}, {"ref": "abdulkadirguner/04haziran-asmall-ensemble", "kernel_id": "27657265"}, {"ref": "pilsungdev/bert-finetuning-various-input-type", "kernel_id": "27212386"}, {"ref": "pilsungdev/us-patent-phrase-matching-using-sbert", "kernel_id": "27130415"}, {"ref": "toya18/nlp-for-beginners2", "kernel_id": "27083506"}, {"ref": "irinamaslowski/u-s-patent-phrase-deberta-v3-small", "kernel_id": "27834688"}, {"ref": "irinamaslowski/u-s-patent-phrase-basic-eda", "kernel_id": "27766803"}, {"ref": "irinamaslowski/u-s-patent-phrase-use", "kernel_id": "27772001"}, {"ref": "srividhyaag/us-patents-debertav3-model-train", "kernel_id": "27514837"}, {"ref": "pichenguang/337canseed", "kernel_id": "27808479"}, {"ref": "pichenguang/3bsfcbert5foldnowdinlinear", "kernel_id": "27525866"}, {"ref": "pichenguang/fork-of-basedeberta", "kernel_id": "27355068"}, {"ref": "pichenguang/base2fc", "kernel_id": "27479120"}, {"ref": "pichenguang/fencengb5", "kernel_id": "27153344"}, {"ref": "pichenguang/pixx-train34", "kernel_id": "27054927"}, {"ref": "pichenguang/e5pixx-train0", "kernel_id": "27061040"}, {"ref": "pichenguang/bertriane5", "kernel_id": "27066286"}, {"ref": "pichenguang/basedeberta", "kernel_id": "27284045"}, {"ref": "luaubrey/xlm-roberta-large-fold3", "kernel_id": "27610701"}, {"ref": "luaubrey/xlm-roberta-large-fold4", "kernel_id": "27610706"}, {"ref": "luaubrey/xlm-roberta-large-fold1", "kernel_id": "27588854"}, {"ref": "luaubrey/xlm-roberta-large-fold2", "kernel_id": "27588864"}, {"ref": "luaubrey/xlm-roberta-large-fold0", "kernel_id": "27583343"}, {"ref": "luaubrey/bert-for-patent-fold0", "kernel_id": "27050337"}, {"ref": "luaubrey/bert-for-patent-fold1", "kernel_id": "27050347"}, {"ref": "luaubrey/bert-for-patent-fold2", "kernel_id": "27050373"}, {"ref": "luaubrey/bert-for-patent-fold4", "kernel_id": "27050381"}, {"ref": "luaubrey/deberta-v3-large-fold0", "kernel_id": "27071245"}, {"ref": "luaubrey/deberta-v3-large-fold1", "kernel_id": "27120862"}, {"ref": "luaubrey/deberta-v3-large-fold2", "kernel_id": "27125803"}, {"ref": "luaubrey/deberta-v3-large-fold3", "kernel_id": "27149647"}, {"ref": "luaubrey/deberta-v3-large-fold4", "kernel_id": "27149652"}, {"ref": "renokan/2-deberta-1-roberta-analysis-and-using", "kernel_id": "27568557"}, {"ref": "renokan/pppm-deberta-v3-large-additional-fold-s", "kernel_id": "27249060"}, {"ref": "renokan/pppm-i-tried-extract-increase-trim", "kernel_id": "27885376"}, {"ref": "brandonhu0215/patent-bert-no-dropout", "kernel_id": "27060443"}, {"ref": "sch377/tfidf-for-beginners", "kernel_id": "27777566"}, {"ref": "gaozhao/a-simple-ensemble-of-two", "kernel_id": "27787112"}, {"ref": "gaozhao/share-a-normal-5fold-model", "kernel_id": "27717353"}, {"ref": "yunfenghu/electra2v1", "kernel_id": "27756192"}, {"ref": "yunfenghu/bert5folddataseed1989", "kernel_id": "27820495"}, {"ref": "yunfenghu/bert5fold4343", "kernel_id": "27820739"}, {"ref": "yunfenghu/fcbert", "kernel_id": "27136578"}, {"ref": "yunfenghu/e5pixx-train3", "kernel_id": "27061267"}, {"ref": "yunfenghu/basedeberta3e5", "kernel_id": "27436309"}, {"ref": "banbeipi/0-10-0-90", "kernel_id": "27949265"}, {"ref": "crimsonjink/notebook82e77a5d8c", "kernel_id": "27194181"}, {"ref": "sampathweb/patents-comp-eval-deberta-v1", "kernel_id": "27489093"}, {"ref": "sampathweb/patents-train", "kernel_id": "27487673"}, {"ref": "don9wankim/us-patent-eda-for-kokr", "kernel_id": "27024937"}, {"ref": "don9wankim/us-patent-eda", "kernel_id": "27108585"}, {"ref": "yangranran/offline-version-for-submission", "kernel_id": "27076538"}, {"ref": "yil1ii/patent-similarity", "kernel_id": "27459690"}, {"ref": "ddtarski/fine-tuning-bert-simple-and-straightforward", "kernel_id": "27030250"}, {"ref": "ddtarski/pppm-sentence-bert-v0-1", "kernel_id": "27000770"}, {"ref": "jacksimbol/uspppm-inference", "kernel_id": "27703315"}, {"ref": "jacksimbol/deberta-v3-large-fold4", "kernel_id": "27704079"}, {"ref": "jacksimbol/deberta-v3-large-fold4-0", "kernel_id": "27751762"}, {"ref": "norellel/all-distilroberta-v1-train", "kernel_id": "27307420"}, {"ref": "norellel/all-distilroberta-v1-inference", "kernel_id": "27579210"}, {"ref": "yichuwang123/deberta-v3-large-baseline-inference", "kernel_id": "27531857"}, {"ref": "yichuwang123/ensemble-examples", "kernel_id": "27542372"}, {"ref": "kosukewakita/getting-started-with-nlp-for-absolute-beginners-jp", "kernel_id": "27105720"}, {"ref": "apalmi/usppm-translate-dataset", "kernel_id": "27359203"}, {"ref": "gopalgoyal612002/text-classification-using-huggingface-transformers", "kernel_id": "27258564"}, {"ref": "mingccc/patentsberta-baseline-using-sentence-transformer", "kernel_id": "27056552"}, {"ref": "vladislavem/roberta-em", "kernel_id": "27189464"}, {"ref": "yudelune6101068/pppm-deberta-v3-large-baseline-inference", "kernel_id": "27526058"}, {"ref": "yudelune6101068/pppm-deberta-v3-large-additional-fold-s", "kernel_id": "27559754"}, {"ref": "christiandeantana/pptpm", "kernel_id": "27623653"}, {"ref": "leehann/train-us-patent", "kernel_id": "27440446"}, {"ref": "harshitkmr/0-8398-ensembling-small-n-large", "kernel_id": "27896663"}, {"ref": "harshitkmr/us-patent-phrase-inference", "kernel_id": "27856247"}, {"ref": "ayandeep/simple-spacy-similarity-linearregression-soln", "kernel_id": "27794856"}, {"ref": "mafuf42/pppm-deberta-v3-large-train-fold-0", "kernel_id": "27028580"}, {"ref": "buyingniu/patentsberta-baseline-using-sentence-transformer", "kernel_id": "27465110"}, {"ref": "sophieez/albert-5folds", "kernel_id": "27787709"}, {"ref": "troybernie/nlp-starter-hf-textclass-pretrain-fine-work", "kernel_id": "27491793"}, {"ref": "sunnyal/patent-phrase-to-phrase-matching-eda-catboost", "kernel_id": "27360613"}, {"ref": "minegreen95/save-uspppm-model-to-pth", "kernel_id": "27721876"}, {"ref": "algerwang/deberta-model-mixed", "kernel_id": "27602150"}, {"ref": "algerwang/debert-attention-train", "kernel_id": "27537115"}, {"ref": "authormorgan/pixx-train-morgan", "kernel_id": "27100479"}, {"ref": "authormorgan/deberta-5fold-fold2-morgan", "kernel_id": "27719969"}, {"ref": "sergioperez1/pppm-2-input-roberta-train", "kernel_id": "27375915"}, {"ref": "sergioperez1/bert-large-5fold", "kernel_id": "27384090"}, {"ref": "joeyliu1234/pppm-deberta-v3-large-groupk-focal-mse-train", "kernel_id": "27895712"}, {"ref": "joeyliu1234/pppm-stage1-gk-linearregression", "kernel_id": "27885932"}, {"ref": "joeyliu1234/pppm-bert4patents-focal-a-none-mse-train", "kernel_id": "27659729"}, {"ref": "joeyliu1234/pppm-stage1-linearregression", "kernel_id": "27590085"}, {"ref": "joeyliu1234/pppm-deberta-v3-large-focal-a-none-mse-train", "kernel_id": "27613285"}, {"ref": "joeyliu1234/pppm-ensemble-inference", "kernel_id": "27500991"}, {"ref": "opanhw/pppm-deberta-v3-large-baseline-w-w-b", "kernel_id": "27071433"}, {"ref": "opanhw/patent-phrase-match-6", "kernel_id": "27412932"}, {"ref": "opanhw/patent-phrase-match-3", "kernel_id": "27412188"}, {"ref": "opanhw/uspppm-bert-for-patents-train", "kernel_id": "27387371"}, {"ref": "sbraito/uspppm-deberta-v3-small-experiments-inference", "kernel_id": "27107108"}, {"ref": "sbraito/uspppm-deberta-v3-small-experiments-train", "kernel_id": "27035348"}, {"ref": "cccchl/patent-phrase-match-4", "kernel_id": "27412270"}, {"ref": "cccchl/patent-phrase-match-8", "kernel_id": "27413705"}, {"ref": "ibrahimkhater/notebookdf8b84cdfa", "kernel_id": "27609929"}, {"ref": "honghong11/ldaprocessing", "kernel_id": "27181970"}, {"ref": "honghong11/bert-with-lda", "kernel_id": "27209714"}, {"ref": "rosemaryzheng/roberta-albert", "kernel_id": "27805227"}, {"ref": "blankaf/patent-na-rozum-nakanfer-1", "kernel_id": "28045855"}, {"ref": "blankaf/patent-na-rozum-infer-ens1", "kernel_id": "28095761"}, {"ref": "blankaf/patent-na-rozum-gel8f-768-5", "kernel_id": "28067941"}, {"ref": "blankaf/patent-na-rozum-infer-combobps", "kernel_id": "28133301"}, {"ref": "srishti280992/eda-ensemble-model-deberta-roberta-preds", "kernel_id": "28104199"}, {"ref": "abdo96/modeling-u-s-patent", "kernel_id": "28362807"}, {"ref": "renxingkai/pppm-stacking-10-models", "kernel_id": "28099785"}, {"ref": "masakiaota/8th-place-solution-infer", "kernel_id": "28098152"}, {"ref": "zzy990106/upppm-ensemble-two-stage-final", "kernel_id": "28015701"}, {"ref": "zzy990106/upppm-final", "kernel_id": "28092322"}, {"ref": "longgamma/final-project", "kernel_id": "28077073"}, {"ref": "falreis/word2vec", "kernel_id": "28964259"}, {"ref": "calpis10000/pppm-ens-063", "kernel_id": "28078881"}, {"ref": "cwwong1606/pppm-ensemble2", "kernel_id": "28063836"}, {"ref": "skraiii/pppm-tokenclassificationmodel-train-8th-place", "kernel_id": "28214652"}, {"ref": "hideyukizushi/pppm-inf-blend-mymodel-pub-add-add", "kernel_id": "28103342"}, {"ref": "hideyukizushi/pppm-inf-blend-mymodel-pub-add", "kernel_id": "28080537"}, {"ref": "aleron751/stack-blend-train", "kernel_id": "28022444"}, {"ref": "cyprienricque/deberta-fine-tuned", "kernel_id": "28122843"}, {"ref": "fankaixie/upppm-exp80-output", "kernel_id": "28090780"}, {"ref": "fankaixie/upppm-exp74-output", "kernel_id": "28070166"}, {"ref": "fankaixie/upppm-exp71-output", "kernel_id": "28031292"}, {"ref": "ricardocalleja/friends", "kernel_id": "28191533"}, {"ref": "jessiececilya/ensemble", "kernel_id": "28287359"}, {"ref": "deadprstkrish/us-patents-k-folds-deberta-v3", "kernel_id": "28018920"}, {"ref": "kerrit/debertapatentsv4", "kernel_id": "28850912"}, {"ref": "kerrit/debertapatentsv2", "kernel_id": "28622326"}, {"ref": "kerrit/debertapatentsv1", "kernel_id": "28572383"}, {"ref": "kerrit/lm-lmcontext", "kernel_id": "28174711"}, {"ref": "anhongbi/usppm-train-tutorial-2", "kernel_id": "28124759"}, {"ref": "datakite/phrase-matching-using-keras-and-transformers", "kernel_id": "28130635"}, {"ref": "vad13irt/optimization-approaches-for-transformers", "kernel_id": "28014302"}, {"ref": "fritzcremer/patent-ptpm-leaderboard-shakeup", "kernel_id": "28108886"}, {"ref": "irinamaslowski/inference-ensemble-3models", "kernel_id": "28106295"}, {"ref": "djchenggosolo/pip-wheels", "kernel_id": "28473226"}, {"ref": "rahulssr/2-deberta-1-roberta-analysis-and-using", "kernel_id": "28436153"}, {"ref": "sagarikajadon/feedback-deberta-baseline-train", "kernel_id": "28530929"}, {"ref": "crimsonjink/finally-implemented", "kernel_id": "28284044"}, {"ref": "handudu/pppmnotebook", "kernel_id": "28214019"}, {"ref": "ssoyoooung/usppm-data-eda-tutorial-1", "kernel_id": "28114821"}, {"ref": "algerwang/big-mixed-model-to-get-medal", "kernel_id": "28086141"}, {"ref": "joeyliu1234/pppm-ensemble-kaggle-inference", "kernel_id": "28039390"}, {"ref": "joeyliu1234/pppm-groupk-prediction-kaggle", "kernel_id": "28043607"}, {"ref": "joeyliu1234/pppm-eda", "kernel_id": "28031813"}, {"ref": "joeyliu1234/pppm-bert4patents-groupk-focal-mse-train", "kernel_id": "28026054"}, {"ref": "joeyliu1234/pppm-stratifiedk-prediction-kaggle", "kernel_id": "28038552"}, {"ref": "lastofus111/pppm-train", "kernel_id": "28418779"}, {"ref": "fanbyprinciple/from-jeremy-s-iterate-like-a-grandmaster", "kernel_id": "29212443"}, {"ref": "falreis/patent-bert", "kernel_id": "29010140"}, {"ref": "anikfaisal/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "29701518"}, {"ref": "mohammadahmar/patent-to-phrase-ending", "kernel_id": "29383215"}, {"ref": "ravikumarmn/patent-phrase-to-phrase-matching-using-lstm", "kernel_id": "29136838"}, {"ref": "ravikumarmn/u-s-patent-phrase-to-phrase-matching-using-lstm", "kernel_id": "29063248"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "bansodesandeep/ml-logistic-regression-boston-data-binning", "kernel_id": "29915382"}, {"ref": "ravikumarnaduvin/patent-phrase-to-phrase-matching", "kernel_id": "29324365"}, {"ref": "jatinshah/fast-ai-course22-part-1-notebooks-combined", "kernel_id": "30750783"}, {"ref": "ritinnambiar/natural-language-processing-with-disaster-tweets", "kernel_id": "30811903"}, {"ref": "prostabkundu/us-patent-phrase-matching", "kernel_id": "30384106"}, {"ref": "hetarthchopra/sentence-transformer-nli", "kernel_id": "30916955"}, {"ref": "prostabkundu1/getting-started-with-nlp", "kernel_id": "30514298"}, {"ref": "llllllillllilll/notebookb731a83a94", "kernel_id": "30838921"}, {"ref": "kasasis/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "30453486"}, {"ref": "kathyreid/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "31255898"}, {"ref": "kattat/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "31975805"}, {"ref": "llllllillllilll/notebook6ec154c381", "kernel_id": "31307747"}, {"ref": "llllllillllilll/notebooka172b139fa", "kernel_id": "31001223"}, {"ref": "shravankumar147/iterate-like-a-grandmaster", "kernel_id": "32586347"}, {"ref": "gazu468/all-about-bert-you-need-to-know", "kernel_id": "32665951"}, {"ref": "hetarthchopra/bert-from-huggingface", "kernel_id": "32848477"}, {"ref": "fabraz/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "33103485"}, {"ref": "aman196037/fastai-c1l4-nlp", "kernel_id": "33925407"}, {"ref": "pksx01/nlp-beginner", "kernel_id": "33969343"}, {"ref": "joaofranca/first-time-using-transformers", "kernel_id": "33180130"}, {"ref": "hetarthchopra/bert-from-huggingface-inference", "kernel_id": "33025578"}, {"ref": "ibsanmorales/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "33127757"}, {"ref": "zananeno/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "34620032"}, {"ref": "quicksilvershanks/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "34963017"}, {"ref": "prasadckulkarni/nlp-for-absolute-beginners-my-explanation", "kernel_id": "34336923"}, {"ref": "megalino111/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "34623623"}, {"ref": "sooinini/nlp-assignment", "kernel_id": "34256845"}, {"ref": "jwvandyke/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "34445989"}, {"ref": "rookie3912/jack-week4-nlp", "kernel_id": "34222532"}, {"ref": "eharihi/week4", "kernel_id": "34282628"}, {"ref": "leekayoung06/leekayoung-chp4", "kernel_id": "34285028"}, {"ref": "kozmico/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "34906359"}, {"ref": "quicksilvershanks/iterate-like-a-grandmaster", "kernel_id": "35496864"}, {"ref": "pastorsoto/nlp-iteration-competition", "kernel_id": "35369122"}, {"ref": "pastorsoto/nlp-from-scratch", "kernel_id": "35198453"}, {"ref": "lindsaywarrenburg/lindsay-s-summary-of-https-www-kaggle-com-code-j", "kernel_id": "35374045"}, {"ref": "anusadanandan/u-s-patent-phrase-to-phrase-matching", "kernel_id": "35358991"}, {"ref": "himanshu210100/getting-started-with-nlp", "kernel_id": "35838062"}, {"ref": "voronkova/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "35886970"}, {"ref": "saraswatitiwari/u-s-patent-phrase-to-phrase-matching", "kernel_id": "36617457"}, {"ref": "findcxtcom/ct-nlp-with-t5-v2-0", "kernel_id": "36477205"}, {"ref": "akulez/classical-text-similarity-measures", "kernel_id": "36345656"}, {"ref": "iabdulw/starting-with-nlp", "kernel_id": "36264072"}, {"ref": "iabdulw/iterate-like-a-grandmaster", "kernel_id": "36266859"}, {"ref": "darrenlau1628/nlp-emergency-tweets", "kernel_id": "36530329"}, {"ref": "jllearning/transformers-and-keras-tpu-training", "kernel_id": "36154633"}, {"ref": "yesteapea/deberta-v3-simple", "kernel_id": "37499293"}, {"ref": "rahimimiladofficial/transformers-in-u-s-patent-phrase-to-phrase-match", "kernel_id": "37977522"}, {"ref": "utkmal/starting-with-nlp-using-transformers-library", "kernel_id": "37650280"}, {"ref": "xiefei/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "38231840"}, {"ref": "sidverma1990/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "38517478"}, {"ref": "darvack/fastai-4", "kernel_id": "38254952"}, {"ref": "umesalma/u-s-patent-phrase-to-phrase-matching", "kernel_id": "38029747"}, {"ref": "ninetoone/iterate-like-a-grandmaster", "kernel_id": "38767677"}, {"ref": "prasanth07/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "39520685"}, {"ref": "felipebihaiek/deberta-v3-large-baseline-w-w-b-train", "kernel_id": "40262315"}, {"ref": "bachaudhry/starting-off-with-basic-nlp-and-iterating", "kernel_id": "40684406"}, {"ref": "bkowshik/us-patent-phrase-to-phrase-matching-similarity", "kernel_id": "40310670"}, {"ref": "aminpiupiu/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "40745777"}, {"ref": "akulez/phrase-matching", "kernel_id": "40043819"}, {"ref": "hattori404/fastai-4-nlp", "kernel_id": "40752966"}, {"ref": "rubanzasilva/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "41090915"}, {"ref": "paradoxicalvariable/us-patent-phrase-to-phrase", "kernel_id": "41369159"}, {"ref": "efchbd1013/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "41529457"}, {"ref": "uygarkk/youtube-debertav3", "kernel_id": "42386284"}, {"ref": "mingchenadam/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "42819527"}, {"ref": "tonymarkchris/pppm-tokenclassificationmodel", "kernel_id": "42250870"}, {"ref": "laylabitar/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "42063232"}, {"ref": "ramemes/nlpforbeginners", "kernel_id": "42255356"}, {"ref": "arcielbaez/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "42593109"}, {"ref": "suchitg04/patent-phrase-to-phrase-matching", "kernel_id": "43670088"}, {"ref": "artemdovbysh/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "43236524"}, {"ref": "leonacyn/electra-large-discriminator", "kernel_id": "43217789"}, {"ref": "leonacyn/bert-for-patent", "kernel_id": "43204531"}, {"ref": "leonacyn/deberta-v3-large", "kernel_id": "43133859"}, {"ref": "murtazanuruddin/text-classification", "kernel_id": "43892213"}, {"ref": "muhiabee/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "45893884"}, {"ref": "mdonnye/hundreds-and-thousands-processing", "kernel_id": "45091337"}, {"ref": "akandeboluwatife/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "46046544"}, {"ref": "aizquierdo/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "46531098"}, {"ref": "sarincasm/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "46280163"}, {"ref": "twoturtles/getting-started-with-nlp-copy", "kernel_id": "46579263"}, {"ref": "tarekyahia/production", "kernel_id": "47313042"}, {"ref": "ajithbharadwaj/us-patent-phrase-to-phrase-matching", "kernel_id": "47618046"}, {"ref": "tarekyahia/fine-tune-approach", "kernel_id": "48887191"}, {"ref": "mariadod/lab-4", "kernel_id": "48917273"}, {"ref": "nqctttt/my-first-nlp", "kernel_id": "48048966"}, {"ref": "kkeshav1101/lesson4-nlp", "kernel_id": "48630474"}, {"ref": "sgjustino/patent-phrase-matching-with-transformers", "kernel_id": "48381647"}, {"ref": "liannasu/nlpsu", "kernel_id": "48587978"}, {"ref": "temirlanv/final-nlp", "kernel_id": "48723225"}, {"ref": "tarekyahia/feature-extraction-approach", "kernel_id": "49116305"}, {"ref": "asimmohammad/nlp-patent", "kernel_id": "49964922"}, {"ref": "muzammilrizvi1/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "50587056"}, {"ref": "jitpanunopwijit/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "50862113"}, {"ref": "aannu13/l4-nlp", "kernel_id": "50552693"}, {"ref": "agastyapatel/ls04-us-patent-phrase-matching", "kernel_id": "50824418"}, {"ref": "timltagch/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "50869675"}, {"ref": "farzamalam/us-patent-phrase-to-phrase-matching", "kernel_id": "51261165"}, {"ref": "abhimanyuaryan/nlp-model", "kernel_id": "51199131"}, {"ref": "matesze/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "52023996"}, {"ref": "dmitrykonovalov/fastai-lesson4-getting-started-with-nlp", "kernel_id": "53588324"}, {"ref": "ykhorrami/step-by-step-with-nlp-for-beginners", "kernel_id": "53478039"}, {"ref": "faseehahmedkhan/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "53257573"}, {"ref": "nirbhaytambe/us-patent-phrase-to-phrase-matching", "kernel_id": "53212014"}, {"ref": "ngtr6788/my-baby-post-office-train", "kernel_id": "53691183"}, {"ref": "santamm/aiinafrica-water-sustainability-nlp-intro", "kernel_id": "54133966"}, {"ref": "ahmedmohsen410/nlp-patent-competition", "kernel_id": "54648886"}, {"ref": "chetankillewale/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "54226761"}, {"ref": "nigamshitij/nlp-tokenizer-classifier-huggingface-tfmr", "kernel_id": "54477152"}, {"ref": "ngtr6788/my-baby-post-office-submit", "kernel_id": "54237027"}, {"ref": "ryharv/lesson-4-noob-language-processing", "kernel_id": "54571859"}, {"ref": "eshasabir17gmailcom/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "56750895"}, {"ref": "jahidul99/phrase-matching", "kernel_id": "57646715"}, {"ref": "alekswachowiak/u-s-patent-phrase-nlp-classification-v1-0", "kernel_id": "57827196"}, {"ref": "estebanvquiros/lesson-4-v2", "kernel_id": "58549389"}, {"ref": "estebanvquiros/lesson-4", "kernel_id": "58544486"}, {"ref": "toobarahimnia/patent-phrase-to-phrase-matching", "kernel_id": "59031193"}, {"ref": "anewsha/nlp-book", "kernel_id": "59526529"}, {"ref": "ikram98ai/us-patent-phrase-to-phrase-matching", "kernel_id": "59900598"}, {"ref": "thegodchurch/bert-transformer-0-025334", "kernel_id": "60179995"}, {"ref": "jacobmadeley133/prac-05-part-01-getting-started-with-nlp", "kernel_id": "60286773"}, {"ref": "roycejamesblackbourn/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60826255"}, {"ref": "keerthana2002/prac5-task1fastai-lesson4-getting-started-with-nlp", "kernel_id": "60778822"}, {"ref": "amberhogarth/fastai-lesson4-amberhogarth-prac5", "kernel_id": "60821899"}, {"ref": "kirubasornamoorthy/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60646487"}, {"ref": "ethanwaters/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60176740"}, {"ref": "ethanwaters/disaster-tweets-competition", "kernel_id": "60178659"}, {"ref": "trijeetbhandula/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60278579"}, {"ref": "mukshitchawla/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60475384"}, {"ref": "pudolive/fastai-lesson4-task1", "kernel_id": "60180192"}, {"ref": "chiragverma1/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60475774"}, {"ref": "praiserudairo/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60476771"}, {"ref": "fongsiuman/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60475371"}, {"ref": "calebtownsend01/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60694925"}, {"ref": "lucaadornetto/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60706930"}, {"ref": "wesleygilsenan/fastai-lesson4-getting-started-with-nlp-task-1", "kernel_id": "60180001"}, {"ref": "lachlanholmes/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60510040"}, {"ref": "garionrains/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60179544"}, {"ref": "hexonhartleyjimenez/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60178068"}, {"ref": "garvitmalik2121/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60475066"}, {"ref": "katlynwhyte/fastai-lesson4-getting-started-with-nlp-prac-05", "kernel_id": "60176741"}, {"ref": "melvinalasia/fastai-lesson4-getting-started-with-nlp-9c0679", "kernel_id": "60702896"}, {"ref": "caelsalmond/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "60281074"}, {"ref": "shivaunb/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60269770"}, {"ref": "xanderdinocaubat/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60273368"}, {"ref": "toms0o/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60280834"}, {"ref": "toms0o/fast-ai-lesson4-modified-for-nlp", "kernel_id": "60282710"}, {"ref": "alexm42/fastai-lesson04-review", "kernel_id": "60240894"}, {"ref": "stevendebondi/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60455450"}, {"ref": "hongfeiqi/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60475396"}, {"ref": "waterdrinker/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60177323"}, {"ref": "yufeizhao04/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60738245"}, {"ref": "talithariddiford/fork-of-fastai-lesson4-getting-started-with-nlp", "kernel_id": "60069140"}, {"ref": "talithariddiford/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60067638"}, {"ref": "hayleeturk/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60648852"}, {"ref": "coreygrainger/fastai-lesson4-getting-started-with-nlp-312ee1", "kernel_id": "60274648"}, {"ref": "jasonman14/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60176691"}, {"ref": "alan112114/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60568840"}, {"ref": "jacksonjcu/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60634131"}, {"ref": "mtajonera/getting-started-with-nlp-fastai-lesson-4", "kernel_id": "60707390"}, {"ref": "joyaljoyjj/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60301300"}, {"ref": "daviduy/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60280732"}, {"ref": "aubienethompson/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60455200"}, {"ref": "jaskiratbatth/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60476806"}, {"ref": "harshdeepkaur08/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60475762"}, {"ref": "amyzhongyq/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60283498"}, {"ref": "omeyehillaryo/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60319865"}, {"ref": "maivang/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60714522"}, {"ref": "johnsbijoy/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60659135"}, {"ref": "jackcox343/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60772784"}, {"ref": "deamariaroys/fastai-lesson4-getting-started-with-nlp", "kernel_id": "60296039"}, {"ref": "rubinr12/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "61710794"}, {"ref": "misonghua/prac5-nlp-task2", "kernel_id": "61350039"}, {"ref": "misonghua/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61346356"}, {"ref": "jonetran/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61940116"}, {"ref": "arkar1022/fastai-lesson4-getting-started-with-nlp-task-2", "kernel_id": "61529740"}, {"ref": "arkar1022/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61529255"}, {"ref": "estellewwww/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61684007"}, {"ref": "estellewwww/fastai-lesson4-getting-started-with-nlp-d5fa52", "kernel_id": "61687257"}, {"ref": "marukiiroha/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61529396"}, {"ref": "marukiiroha/fastai-lesson4-getting-started-with-nlp-c43fb2", "kernel_id": "61529898"}, {"ref": "huskydawg/task1-fastai-lesson4-getting-started-with-nlp", "kernel_id": "61348299"}, {"ref": "huskydawg/fork-of-task2-fastai-lesson4-getting-started-with", "kernel_id": "61350342"}, {"ref": "huskydawg/task2-fastai-lesson4-getting-started-with-nlp", "kernel_id": "61335048"}, {"ref": "lqy231/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61334716"}, {"ref": "billydomanti/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61815256"}, {"ref": "alisj3/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61698551"}, {"ref": "chiehyuchenjames/fastai-lesson4-2-getting-started-with-nlp", "kernel_id": "61700940"}, {"ref": "chiehyuchenjames/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61700725"}, {"ref": "kwokchunyik/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61342656"}, {"ref": "eithinzarphyo/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61343588"}, {"ref": "tensaiki/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61343178"}, {"ref": "wilsonvall/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61341210"}, {"ref": "guomike/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61529250"}, {"ref": "guomike/fastai-lesson4-getting-started-with-nlp-bb926d", "kernel_id": "61531551"}, {"ref": "linhhoacao/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61344769"}, {"ref": "battlescythe300/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61343030"}, {"ref": "scrapbeaver/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61694854"}, {"ref": "zhouhanwei/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61328469"}, {"ref": "yufeizhao04/cp3501-prac5-task2", "kernel_id": "61378503"}, {"ref": "leandelossantos/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61417463"}, {"ref": "jkaiteo/cp3501-prac-5-task1", "kernel_id": "61328415"}, {"ref": "vihoa02/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61347480"}, {"ref": "ralphishere/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61708917"}, {"ref": "ralphishere/fork-of-fastai-lesson4-getting-started-with-nlp-2", "kernel_id": "61709509"}, {"ref": "zhoujiejcu/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "61343489"}, {"ref": "tin555/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61530570"}, {"ref": "dianabukeikhanova/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61530798"}, {"ref": "tharhtetdennis/fork-of-fastai-lesson4-getting-started-with-nlp", "kernel_id": "61522623"}, {"ref": "tharhtetdennis/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61478975"}, {"ref": "nawmaythuhan/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61529190"}, {"ref": "caoshaungli/natural-language-processing-with-disaster-tweets", "kernel_id": "61335075"}, {"ref": "caoshaungli/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61333261"}, {"ref": "diyuyang0929/fastai-lesson4-getting-started-with-nlp-diyuyang", "kernel_id": "61530354"}, {"ref": "baolinhvan/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61333167"}, {"ref": "baolinhvan/fork-of-fastai-lesson4-getting-started-with-nlp", "kernel_id": "61335056"}, {"ref": "tuandn97/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61334443"}, {"ref": "christianmadria/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61343591"}, {"ref": "jasonelmerborisman/fastai-lesson4-getting-started-with-nlp-ea8c24", "kernel_id": "61379107"}, {"ref": "voctorianora/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61343227"}, {"ref": "kuangziye/prac-5-task-1", "kernel_id": "61529897"}, {"ref": "patricksssstar/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61529797"}, {"ref": "norairtarasov/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61345739"}, {"ref": "nangkaungshankham/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61927877"}, {"ref": "jiehanli/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61529562"}, {"ref": "jiehanli/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "61696526"}, {"ref": "liangzc321/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61645308"}, {"ref": "albertjamesrequilme/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61527009"}, {"ref": "lupan71/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61671312"}, {"ref": "zhonghao666/fastai-lesson4-getting-started-with-nlp-jiangzhong", "kernel_id": "61530324"}, {"ref": "jiaxuanliu33/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61031056"}, {"ref": "andrejonathan/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61531672"}, {"ref": "andrejonathan/task2-fastai-lesson4-nlp", "kernel_id": "61533382"}, {"ref": "lzpxenon/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61530384"}, {"ref": "jiemolv/fastai-lesson4-getting-started-with-nlp-zhangyiwen", "kernel_id": "61705637"}, {"ref": "kyawzawwlinnjcu/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61924421"}, {"ref": "nyanlinhtut/fastai-lesson4-getting-started-with-nlp", "kernel_id": "61582873"}, {"ref": "lucianlazarescu/patent-phrase-to-phrase-matching", "kernel_id": "62350729"}, {"ref": "pranitpandeykaggle/fastai-lesson4-getting-started-with-nlp", "kernel_id": "62310905"}, {"ref": "khantzayyar20/fastai-lesson4-getting-started-with-nlp", "kernel_id": "62571308"}, {"ref": "yadavshivamz/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "63504005"}, {"ref": "yufeizhao04/cp3403-prac5-task2-zhao-yufei", "kernel_id": "63640178"}, {"ref": "shauntrinh/fastai-lesson4-getting-started-with-nlp", "kernel_id": "63488235"}, {"ref": "aminojaghi1993/fast-ai-nb5-nlp-4-absolute-beginners-uspatent", "kernel_id": "66519891"}, {"ref": "marinazubova/u-s-patent-phrase-to-phrase-matching-final", "kernel_id": "66478110"}, {"ref": "paulkangusc/getting-started-with-nlp", "kernel_id": "66248838"}, {"ref": "lucasobrien1992/fastai-lesson4-getting-started-with-nlp", "kernel_id": "67976975"}, {"ref": "jenn1etang/fastai-lesson4-getting-started-with-nlp", "kernel_id": "67975334"}, {"ref": "msapaydin/31-october-2024-cse411-natural-language-processing", "kernel_id": "68657715"}, {"ref": "snjysbu/fastai-lesson4-getting-started-with-nlp", "kernel_id": "68058458"}, {"ref": "marcohg12/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "68369155"}, {"ref": "msapaydin/loading-yorumsepeti-dataset-homework3", "kernel_id": "69930756"}, {"ref": "derinsalar/cse411-hw3", "kernel_id": "69863984"}, {"ref": "therishabhmittal05/patentclassify", "kernel_id": "69828369"}, {"ref": "alperugurca/u-s-patent-phrase-to-phrase-matching", "kernel_id": "69596287"}, {"ref": "bruh7077/osman-ege-karaaslan-ai-hw-3", "kernel_id": "70206475"}, {"ref": "utkualci/cse411-assignment-3", "kernel_id": "70196187"}, {"ref": "kenshisanada/nlp-jhoward-practice1", "kernel_id": "71391727"}, {"ref": "venkateshblks/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "71340481"}, {"ref": "caxzen/client1-2", "kernel_id": "72141037"}, {"ref": "sravaniailla/notebookc111e42c0a", "kernel_id": "72328510"}, {"ref": "aryan31x/nlp-starter-continuous-bag-of-words-cbow", "kernel_id": "74187719"}, {"ref": "ranjithts/u-s-patent-phrase-to-phrase-matching", "kernel_id": "74585270"}, {"ref": "saik45/us-patent-phrase-to-phrase-macthing-competition", "kernel_id": "74768557"}, {"ref": "saik45/trying-models-on-u-s-patent-phrase-to-phrase", "kernel_id": "74936497"}, {"ref": "imanurath/usptp-firstsubmission", "kernel_id": "75817351"}, {"ref": "grabbi/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "76000191"}, {"ref": "niketanmoon/beginner-friendly-us-patent-dl", "kernel_id": "76497483"}, {"ref": "barborakoubkov/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "76378399"}, {"ref": "zhiweirandyzhu/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77287977"}, {"ref": "zhudawei01/cp-3501-prac-5-task-1", "kernel_id": "77516331"}, {"ref": "astriazhu/cp3501-prac5-task-2", "kernel_id": "77375338"}, {"ref": "astriazhu/cp3501-prac5-task-1", "kernel_id": "77350929"}, {"ref": "vincentthendean/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77423047"}, {"ref": "letianyou/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77416131"}, {"ref": "ericzhang5050/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "77624866"}, {"ref": "musawirthaha/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77716193"}, {"ref": "suetkei/cp3501-prac5-task1", "kernel_id": "77516208"}, {"ref": "quyuet/nlp-basic", "kernel_id": "77130649"}, {"ref": "dexterkwok/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77414084"}, {"ref": "jeremyhuang041013/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77423064"}, {"ref": "juelaili/fastai-lesson4-getting-started-with-nlp-8ef4b4", "kernel_id": "77423085"}, {"ref": "chetpotato/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77418331"}, {"ref": "ekibi1124/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77423095"}, {"ref": "gaoyyi/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77418446"}, {"ref": "davidfwli/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77511887"}, {"ref": "annaaa2/anastasia-eremenko-week-5-practical", "kernel_id": "77706892"}, {"ref": "tmuanamnh/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77416148"}, {"ref": "redonsh/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77520738"}, {"ref": "renjiale118436/usp-spbu", "kernel_id": "77364992"}, {"ref": "kaikrings/us-patent-phrase-to-phrase-matching", "kernel_id": "77453661"}, {"ref": "jinwang3/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77420444"}, {"ref": "haymanhninaye/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77415726"}, {"ref": "jzkx666/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77423509"}, {"ref": "yukey001/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77419439"}, {"ref": "hsuchiachang1/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77423568"}, {"ref": "yzxycst/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77424148"}, {"ref": "venuslu1128/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77415498"}, {"ref": "banyarsawthit/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77421084"}, {"ref": "shicheng114514/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77422714"}, {"ref": "yuanruigao/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77422872"}, {"ref": "mylawang/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77415754"}, {"ref": "tomirisdadamurzayeva/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77415728"}, {"ref": "yifupu/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77732083"}, {"ref": "victorkre/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77423867"}, {"ref": "guoyuye/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77418582"}, {"ref": "rishanratha/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77423425"}, {"ref": "nafisatoushi/w5-t1-fastai-lesson4-getting-started-with-nlp", "kernel_id": "77516736"}, {"ref": "primadebborna/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77520514"}, {"ref": "nathanpeter2002/deeplearning-prac05-npeter", "kernel_id": "77506336"}, {"ref": "minkhantkyawfreddy/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77421345"}, {"ref": "zhixingli917/fastai-lesson4-getting-started-with-nlp", "kernel_id": "77504311"}, {"ref": "hpchan1/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "77866790"}, {"ref": "slinkp/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "77888595"}, {"ref": "martinkilos/nlp-starter-continuous-bag-of-words-cbow", "kernel_id": "78919210"}, {"ref": "selifanovtikhon/us-patent", "kernel_id": "78699679"}, {"ref": "xefea137/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "78425827"}, {"ref": "ganihunglin/ganihung-nlp", "kernel_id": "78752930"}, {"ref": "eduardolezama/learning-using-hf-deberta-for-nlp-modelling", "kernel_id": "78057953"}, {"ref": "melvin098/fastai-lesson4-getting-started-with-nlp", "kernel_id": "79421617"}, {"ref": "deniz2121/mse-0-054", "kernel_id": "81690919"}, {"ref": "vishnuprasadhsr/getting-started-with-nlp", "kernel_id": "81706991"}, {"ref": "chizkidd/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "83904650"}, {"ref": "mikememo/final-project-v2-notebook-2", "kernel_id": "83071208"}, {"ref": "dmitrykonovalov/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85408531"}, {"ref": "nguyenminhduy8888/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85402342"}, {"ref": "rhysbush/rbush-cp3501-prac05-fastai-lesson4", "kernel_id": "85185288"}, {"ref": "htetgamer/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85422108"}, {"ref": "le6ite/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85592478"}, {"ref": "zhou0912/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85420091"}, {"ref": "damonlindsay/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85642158"}, {"ref": "linnthantsoewai/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85411975"}, {"ref": "jordanbramwell/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85310027"}, {"ref": "cheyennefurlong/prac05-task-1-getting-started-with-nlp", "kernel_id": "85404490"}, {"ref": "callumriley3/cp3501-prac5-task1", "kernel_id": "85606466"}, {"ref": "jarrodeaton/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85611935"}, {"ref": "sakshiii2004/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85219064"}, {"ref": "reecekelly1/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85404214"}, {"ref": "caseysummers/nlp-disaster-tweets-casey-summers", "kernel_id": "85266665"}, {"ref": "caseysummers/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85252559"}, {"ref": "lanceghfdfghdgfhdhg/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85544391"}, {"ref": "connorwhite1/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85607119"}, {"ref": "studentanalytics/task-1", "kernel_id": "85666664"}, {"ref": "limdx006/fastai-lesson4-getting-started-with-nlp-22420a", "kernel_id": "85405619"}, {"ref": "limdx006/fork-of-fastai-lesson4-getting-started-with-nlp-22", "kernel_id": "85431144"}, {"ref": "richo7777/fastai-lesson4-getting-started-with-nlp-282539", "kernel_id": "85405680"}, {"ref": "aungthantthu/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85414128"}, {"ref": "hwnagsh/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85486875"}, {"ref": "choopwintchal/practical-5-task-1", "kernel_id": "85413289"}, {"ref": "naytharhtet/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85400295"}, {"ref": "liweichen1/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85408270"}, {"ref": "saiohmsaiepaine/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85618258"}, {"ref": "hlyanwintaung/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85413959"}, {"ref": "badandovalo/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85420539"}, {"ref": "orsonchen/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85406095"}, {"ref": "hr9000/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85189227"}, {"ref": "westyy/week-5-task-1", "kernel_id": "85405007"}, {"ref": "donpianta/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85564930"}, {"ref": "jwarde15/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85554370"}, {"ref": "davidhunter12/cp3501-prac05-task01-learn-to-use-nlp", "kernel_id": "85203552"}, {"ref": "dylanjperkins/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85404761"}, {"ref": "ndachille/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85202920"}, {"ref": "salvingeorgeau/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85711907"}, {"ref": "lukekaggleuni/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85324923"}, {"ref": "danielbrooks784/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85329223"}, {"ref": "whumptus/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85470706"}, {"ref": "nexturn19/fastai-lesson4-getting-started-with-nlp-3ffba2", "kernel_id": "85473510"}, {"ref": "kimdajin/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85396117"}, {"ref": "sithuzic/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85414523"}, {"ref": "lxy7777/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85489944"}, {"ref": "lxy7777/fastai-lesson5-task2", "kernel_id": "85494956"}, {"ref": "quinnstocker/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85608241"}, {"ref": "hanyuxiao25/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85407104"}, {"ref": "khunpyae/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85405036"}, {"ref": "liuchunhan/fastai-lesson4-nlp", "kernel_id": "85343155"}, {"ref": "naingphonepyae/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85405256"}, {"ref": "aidenlaurila/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85609374"}, {"ref": "moekhantzaw/fastai-lesson4-getting-started-with-nlp-91351d", "kernel_id": "85487591"}, {"ref": "zhanghanzhi1/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85420132"}, {"ref": "xiangwang98/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85420356"}, {"ref": "linpyaehtet/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85413519"}, {"ref": "evachong/fastai-lesson4-getting-started-with-nlp-10d895", "kernel_id": "85406930"}, {"ref": "evachong/fastai-lesson4-getting-started-with-nlp-78495e", "kernel_id": "85445653"}, {"ref": "dularigammampila/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85399525"}, {"ref": "archanapalaniappan/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85399578"}, {"ref": "luox11a/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85483110"}, {"ref": "fsxplay/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85662315"}, {"ref": "alexiawin/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85407162"}, {"ref": "alexiawin/fastai-lesson4-getting-started-with-nlp-e7b715", "kernel_id": "85612396"}, {"ref": "erdongxiao/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85404811"}, {"ref": "erdongxiao/xiaoerdong-submission", "kernel_id": "85424544"}, {"ref": "yenaingkaggle/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85412632"}, {"ref": "heinaung018/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85599266"}, {"ref": "jooogabriel/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85416189"}, {"ref": "hugocui526/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85412054"}, {"ref": "yangtonghao/notebook9b3d56ae40", "kernel_id": "85408454"}, {"ref": "yangtonghao/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85396515"}, {"ref": "timothywatson7/fastai-lesson4-getting-started-final-version", "kernel_id": "85613152"}, {"ref": "wangxi0219/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85396493"}, {"ref": "kyaesinmoehtet/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85598681"}, {"ref": "jiangjinsong/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85613014"}, {"ref": "chaoyuyang114514/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85356108"}, {"ref": "candicechristabel/fastai-lesson4-getting-started-with-nlp-b42378", "kernel_id": "85419544"}, {"ref": "candicechristabel/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85409111"}, {"ref": "winminoo4444/fastai-lesson4-getting-started-with-nlp-fcc7ad", "kernel_id": "85411636"}, {"ref": "jingyangcai/fastai-lesson4-getting-started-with-nlp-94fc21", "kernel_id": "85406142"}, {"ref": "lijunzihao/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85436101"}, {"ref": "justinrf7/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85600224"}, {"ref": "jakedodgson/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85404158"}, {"ref": "myatbhoneaung/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85401165"}, {"ref": "myatbhoneaung/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85415961"}, {"ref": "liamwhiting/week5-task1", "kernel_id": "85401791"}, {"ref": "shijieshen668/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85411608"}, {"ref": "shijieshen668/fastai-lesson4-getting-started-with-nlp-ab5d00", "kernel_id": "85473712"}, {"ref": "beautifulyutong/week5-task2", "kernel_id": "85397820"}, {"ref": "beautifulyutong/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85405168"}, {"ref": "beautifulyutong/fastai-lesson4-getting-started-with-nlp-16b89a", "kernel_id": "85406217"}, {"ref": "beautifulyutong/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85395486"}, {"ref": "nndemo/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85410933"}, {"ref": "nndemo/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85410992"}, {"ref": "sinnatherpaing/fastai-lesson4-getting-started-with-nlp-c4b894", "kernel_id": "85413647"}, {"ref": "sinnatherpaing/fastai-lesson4-getting-started-with-nlp-93586e", "kernel_id": "85406571"}, {"ref": "sinnatherpaing/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85405468"}, {"ref": "juninhochandra/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85405045"}, {"ref": "yuangchong/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85405090"}, {"ref": "yuangchong/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85404871"}, {"ref": "cvyyds/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85405514"}, {"ref": "loulou222/weeedd", "kernel_id": "85407702"}, {"ref": "loulou222/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85405501"}, {"ref": "weirdguy64/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85405346"}, {"ref": "zawlatt/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85396438"}, {"ref": "dong187/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85414116"}, {"ref": "vanyqii/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85414171"}, {"ref": "vanyqii/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "85396665"}, {"ref": "thunyantun/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85513147"}, {"ref": "zhihaotang615/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85412073"}, {"ref": "vincelinmaple126/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85599748"}, {"ref": "sihanzhong/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85411630"}, {"ref": "nanglaungphoung77/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85413608"}, {"ref": "mannimmond/2673276bc378", "kernel_id": "85414876"}, {"ref": "saiko22/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85867432"}, {"ref": "yongdache/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85515408"}, {"ref": "mojunzheng/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85412061"}, {"ref": "liyunchen1515/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85414348"}, {"ref": "armiahmeti/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85580956"}, {"ref": "liusiyi1017/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85420556"}, {"ref": "chenyuxuan38/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85606186"}, {"ref": "zhiyuanwang0902/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85590053"}, {"ref": "wujiawei123/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85582472"}, {"ref": "cnm11111/fastai-lesson4-getting-started-with-nlp-7ab5fb", "kernel_id": "85447232"}, {"ref": "cnm11111/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85411398"}, {"ref": "gerardpandji/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85420537"}, {"ref": "xuhuang1/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85422219"}, {"ref": "zhuangzhuangchen/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85419918"}, {"ref": "weishipeng/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85412505"}, {"ref": "jacknortonlovett/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85721045"}, {"ref": "seinlinn/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85615534"}, {"ref": "aidenlandy/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85612300"}, {"ref": "ranzhou1/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85618567"}, {"ref": "maythinhtet/fastai-lesson4-getting-started-with-nlp-b62755", "kernel_id": "85411546"}, {"ref": "sushmoypaulrohit/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "85432424"}, {"ref": "bennynee/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85419734"}, {"ref": "bcar12/fastai-lesson4-getting-started-with-nlp", "kernel_id": "85402735"}, {"ref": "pavelgorbachev1/nlp-u-s-patent-phrase-to-phrase-matching", "kernel_id": "86793198"}, {"ref": "aaronbailey20/cp3501-practical-5-task-1", "kernel_id": "86280773"}, {"ref": "belowaverage/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "86377377"}, {"ref": "innovavibes/notebook399a06b8ea", "kernel_id": "86992118"}, {"ref": "mirage2266/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "86382503"}, {"ref": "himankpatidar/fastai-nlp", "kernel_id": "87404288"}, {"ref": "spyrospolemis/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "87957684"}, {"ref": "patiencenjeri/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "87217065"}, {"ref": "minkhant13/fastai-lesson4-getting-started-with-nlp", "kernel_id": "87519832"}, {"ref": "panhsumyat/fastai-lesson4-getting-started-with-nlp", "kernel_id": "87257263"}, {"ref": "fabianuchendu/fastai-lesson4-getting-started-with-nlp", "kernel_id": "87766068"}, {"ref": "newgnart/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "87339430"}, {"ref": "pablojrgilbuenaa/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "87030506"}, {"ref": "kirandeepkaur25/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "87257249"}, {"ref": "suvamb/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "88678791"}, {"ref": "suvamb/tutorial-submitting-a-nlp-model", "kernel_id": "88735492"}, {"ref": "jaredcooke/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "88591595"}, {"ref": "joshuafinch/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "88491016"}, {"ref": "shrini01/iterate-like-a-grandmaster", "kernel_id": "89645830"}, {"ref": "hlyanwintaung/fastai-lesson4-getting-started-with-nlp-92c160", "kernel_id": "89466358"}, {"ref": "jiahaixiong/fastai-lesson4-getting-started-with-nlp-d4c448", "kernel_id": "89295766"}, {"ref": "jackjesse/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "90916981"}, {"ref": "raghadmoahmed/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "91561238"}, {"ref": "PirMustafa/nlp-project", "kernel_id": "92283212"}, {"ref": "airwindy/us-patent-phrase-to-phrase-matching", "kernel_id": "93048920"}, {"ref": "houlvlv/notebook6af7441e9b", "kernel_id": "99610170"}, {"ref": "haribabumallekedi/notebook2", "kernel_id": "103944181"}, {"ref": "mahaeid/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "104418025"}, {"ref": "deepankerkumeria/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "105568349"}, {"ref": "zhiweirandyzhu/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110413273"}, {"ref": "rishanratha/fastai-lesson4-getting-started-nlp-v250619-fe0c87", "kernel_id": "110970291"}, {"ref": "mykolatsaryk/fastai-lesson4-getting-started-nlp-v250619-1aaf27", "kernel_id": "110802624"}, {"ref": "mykolatsaryk/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110446443"}, {"ref": "marcusthum/fastai-lesson4-getting-started-nlp-task-1", "kernel_id": "110732649"}, {"ref": "marcusthum/fastai-lesson4-getting-started-nlp-task-2", "kernel_id": "110593919"}, {"ref": "nhatthiennguyen/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110920902"}, {"ref": "alanmusk/practical5-task1", "kernel_id": "110446438"}, {"ref": "ririko721/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110901147"}, {"ref": "wh123a/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110904108"}, {"ref": "shirui77/fastai-lesson4-getting-started-nlp-v250619-08785d", "kernel_id": "110489219"}, {"ref": "xuankailah/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110504001"}, {"ref": "guokimi/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110970453"}, {"ref": "weiliangli3501/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110628677"}, {"ref": "zaikunzheng/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110446742"}, {"ref": "guanyulujcu/fastai-lesson4-getting-started-nlp-v250619-4df70c", "kernel_id": "110446397"}, {"ref": "haoyaoli/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110840828"}, {"ref": "kennardlime/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110972831"}, {"ref": "linnn01/fastai-lesson4-getting-started-nlp-v250619-ed557b", "kernel_id": "110609961"}, {"ref": "winn0w/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "110967275"}, {"ref": "adityanandanx/fastai-lesson4", "kernel_id": "111522144"}, {"ref": "mxyqdh/getting-started-with-nlp-offline-version", "kernel_id": "111107016"}, {"ref": "onbitrn/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "113089534"}, {"ref": "aozhouzhong/fastai-lesson4-getting-started-nlp-v250619-8d3318", "kernel_id": "113860028"}, {"ref": "imagimaniac/patent-similarity-solution", "kernel_id": "115448149"}, {"ref": "shoybhasan/notebook32b96924ca", "kernel_id": "118174247"}, {"ref": "neelkachalia/getting-started-with-nlp-for-absolute-beginners", "kernel_id": "121730472"}, {"ref": "jcklly/prac-4-task-1", "kernel_id": "122245246"}, {"ref": "sambarrett1/cp3501-prac-04-part-01-samuelbarrett", "kernel_id": "122806079"}, {"ref": "buqingwu/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122112555"}, {"ref": "fabianuchendu/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122496247"}, {"ref": "younghoocheon/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122115545"}, {"ref": "shuomingliu/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122131613"}, {"ref": "chuanjunlu/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122125957"}, {"ref": "zhaoyouyang/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122122536"}, {"ref": "isaacwsh/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122121429"}, {"ref": "yijieliscott/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122130530"}, {"ref": "asuka520/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122140565"}, {"ref": "zhangdavid01/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122140783"}, {"ref": "bhonemyatkyawthu/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122131557"}, {"ref": "bhonemyatkyawthu/notebook147912f59c", "kernel_id": "122135985"}, {"ref": "brockallen/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122810927"}, {"ref": "prabhshersingh/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122324931"}, {"ref": "evanxie1/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122237635"}, {"ref": "evanxie1/notebook0886ecf451", "kernel_id": "122240280"}, {"ref": "swikarmainali/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122493494"}, {"ref": "kerinoras/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122509571"}, {"ref": "cz519826/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122121505"}, {"ref": "edithwong/notebookblahblah", "kernel_id": "122126032"}, {"ref": "bennychawoonloong/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122121248"}, {"ref": "jiahshen/fastai-lesson4-getting-started-nlp-v250619-c29839", "kernel_id": "122122656"}, {"ref": "haeewon/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122122299"}, {"ref": "soethazinhtet/prac04-task-1", "kernel_id": "122273204"}, {"ref": "sunday529/fastai-lesson4-getting-started-nlp-v250619-e60d09", "kernel_id": "122123640"}, {"ref": "bvm123/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122131598"}, {"ref": "moekhant/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122131524"}, {"ref": "ziyucao421/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122114383"}, {"ref": "kyawzinaung9/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122130940"}, {"ref": "anishraorenati/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122140596"}, {"ref": "zacmaltby/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122234303"}, {"ref": "emilianomogorovich/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122682369"}, {"ref": "chongjiemo/w4task2", "kernel_id": "122436211"}, {"ref": "chongjiemo/w4task1", "kernel_id": "122434796"}, {"ref": "alanmiaokillegalking/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "122142274"}, {"ref": "chiranjeeb2003/fastai-lesson4-getting-started-nlp-v250619-3b30b4", "kernel_id": "122142438"}, {"ref": "libozhi/fastai-lesson4-getting-started-nlp-v250619-231df3", "kernel_id": "123005319"}, {"ref": "muruxuan/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "123878848"}, {"ref": "bonengsun/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "123656825"}, {"ref": "fabianuchendu101/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "123314601"}, {"ref": "n84y2846/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "124316865"}, {"ref": "margaretwambuinduta/nlp-beginner", "kernel_id": "125031352"}, {"ref": "harrisonokane/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "125541329"}, {"ref": "davidnzogu/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "125543340"}, {"ref": "harshitas04/week-4-1", "kernel_id": "125224371"}, {"ref": "emmjab/patent-phrase-similarity-lesson-4", "kernel_id": "126969693"}, {"ref": "benchisnell/fastai-lesson4-getting-started-nlp-v250619", "kernel_id": "126219649"}, {"ref": "martinarmstrong/fastai-lesson4-getting-started-nlp-v260610", "kernel_id": "127416855"}, {"ref": "houlvqi/notebook15783ca1f6", "kernel_id": "127576802"}, {"ref": "mohammedsemai/bert-architecture-implementation", "kernel_id": "128449308"}, {"ref": "zzzaaaa1/notebook7294e9213f", "kernel_id": "128350746"}, {"ref": "anirudhramasamy/first-competition", "kernel_id": "128599801"}, {"ref": "visualcomments/us-patent-phrase-to-phrase-pytorch-tutorial", "kernel_id": "131398463"}, {"ref": "winergero/notebooka569a07a3b", "kernel_id": "133838680"}]}
{"competition_id": "33665", "kernels": []}
{"competition_id": "33667", "kernels": []}
{"competition_id": "33672", "kernels": []}
{"competition_id": "33676", "kernels": []}
{"competition_id": "33679", "kernels": [{"ref": "semack/herbaploration", "kernel_id": "24689105"}, {"ref": "roshanr11/herbarium-2022-complete-starter-nb", "kernel_id": "24710526"}, {"ref": "mpwolke/kaggle-herbarium-2022-long-tailed-learning", "kernel_id": "24832361"}, {"ref": "mpwolke/short-tailed-learning", "kernel_id": "24831074"}, {"ref": "mpwolke/north-america-flora-herbarium-taxonomy", "kernel_id": "24793388"}, {"ref": "mpwolke/learning-on-kaggle-loop", "kernel_id": "24719232"}, {"ref": "drcapa/herbarium-2022-starter", "kernel_id": "24695343"}, {"ref": "heyytanay/herbarium-jax-flax-training-kfolds-w-b", "kernel_id": "24797107"}, {"ref": "hamzaghanmi/welcome-herbarium-2022", "kernel_id": "24688156"}, {"ref": "sytuannguyen/herbarium-2022-fast-eda", "kernel_id": "24726628"}, {"ref": "girinchutia01/herbarium-eda-efficientnetb0-train-loop", "kernel_id": "24889900"}, {"ref": "bextuychiev/full-tutorial-on-image-processing-in-skimage", "kernel_id": "24757175"}, {"ref": "jirkaborovec/herbarium-lightning-flash-inference", "kernel_id": "24810420"}, {"ref": "jirkaborovec/herbarium-eda-baseline-flash-efficientnet", "kernel_id": "24688779"}, {"ref": "venkatkumar001/fgvc-9-starter-eda-tensorflow", "kernel_id": "24723987"}, {"ref": "venkatkumar001/herbarium-22-fgvc9-baseline", "kernel_id": "24703907"}, {"ref": "joshkagg/practicetest", "kernel_id": "24880494"}, {"ref": "odins0n/json-pandas-herbarium-2022", "kernel_id": "24708451"}, {"ref": "rhythmcam/herbarium-2022-make-train-test-csv", "kernel_id": "24796821"}, {"ref": "salaheddinelahmadi/exploration-preprocessing-baseline-cnn", "kernel_id": "24902709"}, {"ref": "luckypen/herb-recognition", "kernel_id": "24691193"}, {"ref": "parkjohnychae/why-not-all-genus-id-present-in-some-metadata", "kernel_id": "24726343"}, {"ref": "kalelpark/herbarium2022-eda-with-pytorch", "kernel_id": "24720454"}, {"ref": "paulreiners/myherbariumnotebook", "kernel_id": "25077101"}, {"ref": "medali1992/herbarium-2022-pytorch-resnext50-32x4d-train", "kernel_id": "25383669"}, {"ref": "medali1992/herbarium-2022-pytorch-tresnet-train", "kernel_id": "25391138"}, {"ref": "brendanrappazzo/herbarium-2022-starter-sample-code", "kernel_id": "25078883"}, {"ref": "ohseokkim/herbarium-flipping-through-the-pages-of-memories", "kernel_id": "25774837"}, {"ref": "danasone/herbarium-transformers-trainer-submit", "kernel_id": "25260830"}, {"ref": "asheniranga/arrange-data-for-training-herbarium-2022-fgvc9", "kernel_id": "25218867"}, {"ref": "aleksandrmishanov/herbarium-2022", "kernel_id": "25182380"}, {"ref": "manthanx/herbarium-lightning-resnet50-starter-train", "kernel_id": "25159592"}, {"ref": "karkisa/harbarium-n1", "kernel_id": "25657785"}, {"ref": "myncoder0908/fgvc-9", "kernel_id": "25661130"}, {"ref": "aniketmaurya/herbarium-lightning-flash-inference-ed30f9", "kernel_id": "26706162"}, {"ref": "hanselliott/herbarium22-eda", "kernel_id": "26989481"}, {"ref": "takumimukaiyama/basic-image-recognition", "kernel_id": "26263747"}, {"ref": "anandagdhi/herbarium2022", "kernel_id": "26352962"}, {"ref": "maryiaznak/my-herbarium-trimmed-keras-cnn", "kernel_id": "26923769"}, {"ref": "hanselliott/herbarium22-cnn-exploration", "kernel_id": "28289846"}, {"ref": "hanselliott/herbarium22-cnn-wandb", "kernel_id": "28415869"}, {"ref": "mark18vi/herbarium-eda-with-pytorch", "kernel_id": "29085398"}, {"ref": "hanselliott/tpc-herbarium-2022-data-merge", "kernel_id": "29339618"}, {"ref": "hanselliott/tpc-multioutputmodel-toxic2species", "kernel_id": "29443231"}, {"ref": "huyhoang333/herbarium-eda-baseline-flash-efficientnet", "kernel_id": "29499575"}, {"ref": "nevakrien/first-project", "kernel_id": "29071845"}, {"ref": "nevakrien/data-exploration", "kernel_id": "29294134"}, {"ref": "nevakrien/first-project-gathered", "kernel_id": "29780432"}, {"ref": "shindeshubham85/a-friendly-introduction-to-siamese-networks", "kernel_id": "30657331"}, {"ref": "nevakrien/family-expirement", "kernel_id": "30093566"}, {"ref": "andreipimenov/notebook3ced788358", "kernel_id": "31118690"}, {"ref": "mahdieghane/my-herbarium-trimmed-keras-cnn", "kernel_id": "32626953"}, {"ref": "salvarezgonz/herbarium-2022-using-vgg16-and-automl", "kernel_id": "35844198"}, {"ref": "patriciabrezeanu/transfer-learning-optimization", "kernel_id": "37204786"}, {"ref": "laurelenemarquilly/herbarium-marquilly", "kernel_id": "38149562"}, {"ref": "amirthavarshiniv/herbarium", "kernel_id": "42199359"}, {"ref": "jawakardn/herbarium-nb", "kernel_id": "42356508"}, {"ref": "psm13012004/data-exploration", "kernel_id": "44780909"}, {"ref": "bobianbro/herbarium-pytorch-lightning-efficientnet", "kernel_id": "53717772"}, {"ref": "yashfinulhoque/herbarium-pytorch-lightning-efficientnet", "kernel_id": "53637626"}, {"ref": "yashfinulhaque2/herbarium-pytorch-lightning-resnet50-starter", "kernel_id": "53508339"}, {"ref": "sheefaynmoorsalin/herbarium-pytorch-lightning-efficientnet", "kernel_id": "53993849"}, {"ref": "intisarnaheen/herbarium-pytorch-lightning-efficientnet", "kernel_id": "54329888"}, {"ref": "intisarnaheen/herbarium-pytorch-lightning-resnet50", "kernel_id": "54049900"}, {"ref": "yashfinulhoque/herbarium-pytorch-lightning-resnet50-2", "kernel_id": "54315167"}, {"ref": "muntasir2179/herbarium-pytorch-lightning-resnet50", "kernel_id": "54271711"}, {"ref": "yashfinulhoque/clip-zero-shot-image-classification-pipeline", "kernel_id": "56407855"}, {"ref": "anh9824/vietnamherb", "kernel_id": "59094320"}, {"ref": "hoanghongtham/tearm-1", "kernel_id": "74312136"}, {"ref": "hoanghongtham/herbarium-efficientnet", "kernel_id": "74499496"}, {"ref": "luongnguyenminhan/herbarium22-cnn-wandb", "kernel_id": "77776672"}, {"ref": "luongnguyenminhan/herbarium-dat302m", "kernel_id": "77748909"}, {"ref": "hoanghongtham/herbarium2022-eda-with-pytorch", "kernel_id": "77352981"}, {"ref": "jessgarcasoriano/tfg-herbario-clusterings", "kernel_id": "80670071"}, {"ref": "rameezkh897/mle-sol-1-herbarium-2022-fgvc9-py", "kernel_id": "94941009"}, {"ref": "rameezkh897/mle-sol-12-herbarium-2022-fgvc9-py", "kernel_id": "95223621"}, {"ref": "evangohary/capstone-v2-of-rotation", "kernel_id": "103331823"}, {"ref": "violetdynamo/herbarium-2022", "kernel_id": "103270498"}, {"ref": "evangohary/last-3-runs-visualized", "kernel_id": "104225219"}, {"ref": "evangohary/fork-of-fork-of-fork-of-fork-of-capstoneprerotatio", "kernel_id": "104148898"}, {"ref": "evangohary/fork-of-fork-of-fork-of-capstoneprerotation-and-wi", "kernel_id": "104117267"}]}
{"competition_id": "33689", "kernels": [{"ref": "mathurinache/scrabble-starter", "kernel_id": "23946412"}, {"ref": "mpwolke/it-s-my-turn-scrabble", "kernel_id": "23968511"}, {"ref": "toadofsky/omgwords-starter", "kernel_id": "24105073"}, {"ref": "sachalesueur/predictscrabblepoints", "kernel_id": "24533332"}, {"ref": "metlover/cnn-ann-approach-using-flux-jl-17-24339-rmse", "kernel_id": "25055702"}, {"ref": "al1nasir/scrabble-point-value-prediction-rmse-0-1745", "kernel_id": "60791809"}]}
{"competition_id": "33697", "kernels": []}
{"competition_id": "33704", "kernels": []}
{"competition_id": "33717", "kernels": []}
{"competition_id": "33727", "kernels": []}
{"competition_id": "33728", "kernels": []}
{"competition_id": "33729", "kernels": []}
{"competition_id": "33732", "kernels": []}
{"competition_id": "33733", "kernels": []}
{"competition_id": "33737", "kernels": []}
{"competition_id": "33742", "kernels": [{"ref": "tt2310/fraud-detection-in-insurance-claims", "kernel_id": "48319393"}]}
{"competition_id": "33749", "kernels": []}
{"competition_id": "33752", "kernels": []}
{"competition_id": "33764", "kernels": [{"ref": "mathurinache/starter-winter-olympics-medals-prediction", "kernel_id": "23843234"}, {"ref": "kuntalmaity/winter-olympics-medals-prediction", "kernel_id": "23892219"}, {"ref": "mpwolke/beijing-winter-olympics", "kernel_id": "24324035"}, {"ref": "manasvijaipurkar/data-analysis-olympics", "kernel_id": "98715889"}]}
{"competition_id": "33766", "kernels": [{"ref": "lczong/aist4010-22-tut1-deep-learning-with-gpu-on-kaggle", "kernel_id": "23825468"}, {"ref": "lczong/naive-bayes-classifier", "kernel_id": "23838505"}]}
{"competition_id": "33767", "kernels": []}
{"competition_id": "33768", "kernels": [{"ref": "pan1ns/notebook36aa65f4d0f", "kernel_id": "53752113"}, {"ref": "egorlihverov/classification-of-butterflies-using-resnet18", "kernel_id": "78145320"}, {"ref": "fadeevivan/butterflies-classification", "kernel_id": "81356749"}]}
{"competition_id": "33778", "kernels": []}
{"competition_id": "33781", "kernels": []}
{"competition_id": "33794", "kernels": []}
{"competition_id": "33828", "kernels": []}
{"competition_id": "33837", "kernels": []}
{"competition_id": "33838", "kernels": []}
{"competition_id": "33842", "kernels": []}
{"competition_id": "33843", "kernels": [{"ref": "stefanistrate/iwildcam-2022-visualize-deepmac-instance-masks", "kernel_id": "25935023"}, {"ref": "vickyskarthik/gps-data-visualization", "kernel_id": "25934783"}, {"ref": "stpeteishii/iwildcam2022-show-and-extract", "kernel_id": "25844806"}, {"ref": "mpwolke/iwildcam-2022-cnn", "kernel_id": "25742659"}, {"ref": "kalilurrahman/iwildcam-2022-analysis-notebook", "kernel_id": "25686447"}, {"ref": "chamberham/notebook097c029730", "kernel_id": "25799504"}, {"ref": "thomasdubail/iwild-tf-starter", "kernel_id": "26187947"}, {"ref": "karkisa/n2-lg", "kernel_id": "26680888"}, {"ref": "jordandahan/iwild2022", "kernel_id": "27483921"}, {"ref": "jhbuettner/mdl2-dataunderstanding-preprocessing", "kernel_id": "28798789"}, {"ref": "khushboos/iwildcamera-research-competition", "kernel_id": "34577289"}, {"ref": "thomaskostiuk/cnn-lstm-predict", "kernel_id": "36779576"}, {"ref": "thomaskostiuk/iwildcam-2022-base", "kernel_id": "36727844"}, {"ref": "baileyhirota/cis519-project", "kernel_id": "36522270"}, {"ref": "thomaskostiuk/createminiwild", "kernel_id": "37557698"}, {"ref": "lijunzihao/cp3501-assignment-task-2", "kernel_id": "88304537"}]}
{"competition_id": "33854", "kernels": []}
{"competition_id": "33855", "kernels": [{"ref": "laxmannaik/baseline-submission", "kernel_id": "23925466"}, {"ref": "mpwolke/healthcare-coverage-gdsc-rmse", "kernel_id": "24413354"}]}
{"competition_id": "33857", "kernels": [{"ref": "bachrr/notebooka18e69c66c", "kernel_id": "24907903"}]}
{"competition_id": "33862", "kernels": []}
{"competition_id": "33864", "kernels": []}
{"competition_id": "33867", "kernels": []}
{"competition_id": "33870", "kernels": []}
{"competition_id": "33871", "kernels": []}
{"competition_id": "33874", "kernels": []}
{"competition_id": "33878", "kernels": []}
{"competition_id": "33886", "kernels": []}
{"competition_id": "33898", "kernels": []}
{"competition_id": "33903", "kernels": []}
{"competition_id": "33904", "kernels": []}
{"competition_id": "33905", "kernels": []}
{"competition_id": "33908", "kernels": [{"ref": "wulalala/word2vec-starter", "kernel_id": "24001678"}, {"ref": "wulalala/tfidf-starter", "kernel_id": "24000050"}]}
{"competition_id": "33925", "kernels": [{"ref": "vladvin/toilets-mathing-baseline", "kernel_id": "24409137"}, {"ref": "andreys42/toilets-mathing-baseline", "kernel_id": "24538696"}]}
{"competition_id": "33926", "kernels": [{"ref": "tsechunwang/tsechun-wang-dast304-012", "kernel_id": "24035766"}, {"ref": "priyankdl/sem-segmentation-unet-pretrained-vgg16encoder", "kernel_id": "50101443"}, {"ref": "adityashah2901/unet-segmentation", "kernel_id": "50932097"}, {"ref": "hetpatel10/unet-vgg19", "kernel_id": "51407030"}, {"ref": "janamapatel/vessel-seg", "kernel_id": "51406753"}, {"ref": "channingfisher/sem-segmentation-unet-pretrained-vgg16encoder", "kernel_id": "51259596"}, {"ref": "vatsalvadher/unet-implementation", "kernel_id": "51407102"}, {"ref": "jenilakhyani/sem-segmentation-unet-pretrained-vgg16encoder", "kernel_id": "52146096"}, {"ref": "krishadarji12/unet-semantic-segmentation", "kernel_id": "52512500"}, {"ref": "titan22903/sem-segmentation-with-unet-vgg16encoder", "kernel_id": "53173304"}, {"ref": "krishnapopat/vessel-segmen-using-unet", "kernel_id": "53176809"}, {"ref": "devbachani/semantic-segmentation-on-vessel-segmentation", "kernel_id": "54908881"}, {"ref": "vrajrafe/6-semantic-segmentation-unet", "kernel_id": "54966081"}, {"ref": "naitik554/vessel-segmentation", "kernel_id": "55004901"}, {"ref": "mojtabajahan/vessel-segmentation-u-net", "kernel_id": "63937213"}, {"ref": "namitpatel/resnet-semantic-segmentation", "kernel_id": "64557158"}, {"ref": "milapp180/image-segmentation-sai-vessel", "kernel_id": "69999016"}, {"ref": "raidathmane/vessel-segmentation-with-unet-resnet-encoder", "kernel_id": "82012199"}, {"ref": "stellaszuting/retina-vesssel-segmentatioon-redast-378", "kernel_id": "85770530"}]}
{"competition_id": "33936", "kernels": []}
{"competition_id": "33952", "kernels": []}
{"competition_id": "33957", "kernels": []}
{"competition_id": "33974", "kernels": []}
{"competition_id": "33981", "kernels": []}
{"competition_id": "33989", "kernels": [{"ref": "mpwolke/fungiclef-kornia-torch", "kernel_id": "27119330"}, {"ref": "thompsondng/cv-final-semester-project", "kernel_id": "30393958"}]}
{"competition_id": "34004", "kernels": [{"ref": "taranmarley/99-8-accuracy-in-one-line-of-code", "kernel_id": "24766065"}, {"ref": "taranmarley/short-eda-fe-and-decision-tree", "kernel_id": "24756861"}]}
{"competition_id": "34006", "kernels": []}
{"competition_id": "34013", "kernels": []}
{"competition_id": "34017", "kernels": []}
{"competition_id": "34024", "kernels": [{"ref": "mmellinger66/sky-survey-sample-eda", "kernel_id": "24218198"}, {"ref": "igorkf/ml-olympiad-nytfug-eda-logreg-baseline", "kernel_id": "24218206"}, {"ref": "nkaria1/ml-olympiad-sky-survey", "kernel_id": "25073220"}, {"ref": "eslamfouad/ml-olympiad-using-logisticregression-model", "kernel_id": "36023193"}]}
{"competition_id": "34028", "kernels": [{"ref": "vsergio/02-linear-ml-olympiad-gt", "kernel_id": "24934346"}, {"ref": "vkonstantakos/epidemiological-analysis-linear-models", "kernel_id": "25115398"}]}
{"competition_id": "34031", "kernels": []}
{"competition_id": "34034", "kernels": []}
{"competition_id": "34038", "kernels": [{"ref": "alexryzhkov/19th-place-solution-lightautoml-for-netflix", "kernel_id": "24468345"}, {"ref": "jayjay75/netflix-automl-1", "kernel_id": "24594818"}, {"ref": "jayjay75/netflix-appetency-automl2", "kernel_id": "24852304"}, {"ref": "rnepal2/netflix-appetency-a-lot-of-things-to-do", "kernel_id": "24275508"}, {"ref": "docxian/netflix-appetency-h2o-automl", "kernel_id": "24237143"}, {"ref": "docxian/netflix-appetency-h2o-starter", "kernel_id": "24235091"}, {"ref": "docxian/netflix-appetency-evalml", "kernel_id": "24800251"}, {"ref": "eligijus/netflix-appentency-modeling", "kernel_id": "24318699"}, {"ref": "magicfox94/feature-eng-xgboost", "kernel_id": "24330742"}, {"ref": "jacoporepossi/this-is-why-pandas-describe-is-useful", "kernel_id": "24321755"}, {"ref": "samu2505/netflix-visualization-simple-baseline", "kernel_id": "24296112"}, {"ref": "samu2505/discovered-dates-time", "kernel_id": "24423814"}, {"ref": "gopidurgaprasad/netflix-appetency-stater-eda-model", "kernel_id": "24258910"}, {"ref": "pawan2905/netflix-appetency", "kernel_id": "24672209"}, {"ref": "sravanneeli/netflix-appetency", "kernel_id": "24490555"}, {"ref": "mpwolke/netflix-appetency-autokeras", "kernel_id": "24195506"}, {"ref": "mpwolke/netflix-appetency-feather-low-mem", "kernel_id": "24194683"}, {"ref": "mpwolke/netflix-appetency-charts", "kernel_id": "24212510"}, {"ref": "aliaslm99/netflix-appetency-beginner-s-guide", "kernel_id": "24204560"}, {"ref": "guptadikshant/netflix-appetency-trying-different-approaches", "kernel_id": "24492296"}, {"ref": "guptadikshant/netflix-challenge-eda-and-kfold", "kernel_id": "24491634"}, {"ref": "jamesbond00700/simple-eda", "kernel_id": "24522250"}, {"ref": "towhidultonmoy/20th-place-solution-netflix-appetency-autogluon", "kernel_id": "24427425"}, {"ref": "towhidultonmoy/netflix-appetency-understanding-the-dataset", "kernel_id": "24421884"}, {"ref": "sourabhy/netflix-apptency-eda-h2o-automl", "kernel_id": "24640523"}, {"ref": "dextermojo/eda-starters-for-netflix-appetency", "kernel_id": "24627387"}, {"ref": "mehrdadsadeghi/netflix-appetency-consumer-classification", "kernel_id": "24443898"}, {"ref": "lakhankumawat/data-preprocessing", "kernel_id": "24939174"}, {"ref": "bentorchakarim/eda-best-strategy-for-data-cleaning", "kernel_id": "24565135"}, {"ref": "default404/data-cleaning-model-building-imp-feature-ranking", "kernel_id": "24532708"}, {"ref": "ismailaseck/starters-starter-netflix-appetency-eda", "kernel_id": "24372687"}, {"ref": "nichin/netflix-appetency-eda-modeling-by-lgbm-optuna", "kernel_id": "24358443"}, {"ref": "nitishkumar3099/netflix-appetency-duplicated-data-everywhere", "kernel_id": "24503190"}, {"ref": "chabir/funny-patterns-v1", "kernel_id": "25655806"}, {"ref": "rsesha/netflix-appetency-with-featurewiz", "kernel_id": "25375812"}, {"ref": "tarique7/netflix-appetency-1st-place-solution", "kernel_id": "25928954"}, {"ref": "samu2505/xgboost-when-in-doubt", "kernel_id": "25204025"}, {"ref": "rakshitgarg99/netflix-classification", "kernel_id": "25372432"}, {"ref": "hamzaouammou/netflix-3rd-place-basic-solution", "kernel_id": "25927305"}, {"ref": "guptadikshant/netflix-feature-engg-and-selection", "kernel_id": "25493167"}, {"ref": "towhidultonmoy/netflix-appetency-lightgbm-optuna", "kernel_id": "25897406"}, {"ref": "sharmaakshat/ds-evaluation", "kernel_id": "25350553"}, {"ref": "rocklen/netflix-appetency-2", "kernel_id": "25294486"}, {"ref": "orkunaran/netflix-appetency-power-averaging", "kernel_id": "25276032"}, {"ref": "pasuvulasaikiran/fork-of-netflix-axgb-feature-engg", "kernel_id": "25130619"}, {"ref": "pasuvulasaikiran/netflix-appetency-autoxgb-final", "kernel_id": "25897284"}, {"ref": "kaanguven/netflix-appetency-the-neural-network-approach", "kernel_id": "25367239"}, {"ref": "pankajsonawane1998/netflix-appetency-kaggle-hackathon-code-file", "kernel_id": "25854971"}, {"ref": "abhinavmukherjee22/netflix-appetency-consumer-classification", "kernel_id": "25754475"}, {"ref": "sivsankar/netflix-appetency-using-boruta-worth-a-try", "kernel_id": "25783935"}, {"ref": "vidishak/netflix-appetency", "kernel_id": "26219980"}, {"ref": "rsesha/netflix-appetency-featurewiz-privatescore-0-78", "kernel_id": "28383847"}, {"ref": "rsesha/netflix-appetency-privatelb-0-782-in-5-lines", "kernel_id": "28384319"}, {"ref": "pasuvulasaikiran/netflix-appetency-data-cleaning", "kernel_id": "30548937"}, {"ref": "saiajithj/netflix-submission", "kernel_id": "54057389"}, {"ref": "saiajithj/netflix-capstone", "kernel_id": "56594151"}]}
{"competition_id": "34044", "kernels": []}
{"competition_id": "34045", "kernels": [{"ref": "abhishek123maurya/predicting-epitope", "kernel_id": "26698083"}]}
{"competition_id": "34048", "kernels": []}
{"competition_id": "34055", "kernels": []}
{"competition_id": "34058", "kernels": []}
{"competition_id": "34059", "kernels": []}
{"competition_id": "34060", "kernels": []}
{"competition_id": "34068", "kernels": [{"ref": "nischaydnk/gdsc-notebook-from-host", "kernel_id": "24205724"}]}
{"competition_id": "34073", "kernels": []}
{"competition_id": "34083", "kernels": []}
{"competition_id": "34093", "kernels": [{"ref": "sanjay147/lgbm-classifier-regressor-ensemble-with-5-fold-cv", "kernel_id": "24581741"}, {"ref": "aliphya/eda-autism-prediction", "kernel_id": "24365337"}, {"ref": "aliphya/first-place-solution", "kernel_id": "24435970"}, {"ref": "docxian/autism-prediction-evalml", "kernel_id": "24807405"}, {"ref": "harsh2040/try-simple-eda-techniques", "kernel_id": "24676114"}, {"ref": "harsh2040/model-building", "kernel_id": "24854417"}, {"ref": "harsh2040/pycaret-solution", "kernel_id": "24999933"}, {"ref": "santhoshkumarv/autism-xgboost-shap-values", "kernel_id": "24862382"}, {"ref": "stpeteishii/ml-olympiad-lgbm-optuna-auc-roc", "kernel_id": "24632613"}, {"ref": "stpeteishii/ml-olympiad-visualize-importance", "kernel_id": "24912952"}, {"ref": "mpwolke/autism-prediction-pycomp", "kernel_id": "24296826"}, {"ref": "mpwolke/wandb-lgbm-autism-prediction", "kernel_id": "24323284"}, {"ref": "mpwolke/catboost-autism-prediction-attempt", "kernel_id": "24321997"}, {"ref": "mpwolke/ai-autism-mljar-optuna", "kernel_id": "24550088"}, {"ref": "mpwolke/autism-ml-olympiad-shap-values", "kernel_id": "24445357"}, {"ref": "mpwolke/autism-prediction-automljar", "kernel_id": "24466143"}, {"ref": "sohailshaik272/autism-prediction-using-logistic-regression", "kernel_id": "24426475"}, {"ref": "igorkf/mlolympiad-autismpredictionchallenge-eda-baseline", "kernel_id": "24296141"}, {"ref": "kishores15/potential-8th-place-apc-eda-logistic-reg", "kernel_id": "24737746"}, {"ref": "kishores15/potential-9th-place-apc-catboost-infer", "kernel_id": "24807199"}, {"ref": "kishores15/potential-9th-place-apc-catboost-train", "kernel_id": "24806853"}, {"ref": "kishores15/8th-place-apc-xgboost-train", "kernel_id": "24800434"}, {"ref": "kishores15/8th-place-apc-xgboost-infer", "kernel_id": "24799990"}, {"ref": "kishores15/potential-8th-place-apc-randomforest-infer", "kernel_id": "24819461"}, {"ref": "sidharkal/autism-prediction-with-class-weight-and-focal-loss", "kernel_id": "24937308"}, {"ref": "sidharkal/autism-prediction-with-random-forest", "kernel_id": "24673608"}, {"ref": "taranmarley/extra-trees-with-pycaret", "kernel_id": "24373872"}, {"ref": "taranmarley/autoviz-eda-fe-and-catboost", "kernel_id": "24692108"}, {"ref": "pvtrmalli/mlolymplad-complete-eda", "kernel_id": "24594999"}, {"ref": "venkatkumar001/apc-2-eda-boosting-vs-tree", "kernel_id": "24558712"}, {"ref": "venkatkumar001/apc-3-pycaret-identify-best-algo-s", "kernel_id": "24585607"}, {"ref": "venkatkumar001/apc1-automatic-eda-tf-df", "kernel_id": "24543778"}, {"ref": "venkatkumar001/apc-4-pytorch-tabular", "kernel_id": "24646868"}, {"ref": "venkatkumar001/apc-5-tensorflow-embed-xgb", "kernel_id": "24945590"}, {"ref": "desalegngeb/autism-spectrum-disorder-prediction", "kernel_id": "24305916"}, {"ref": "mhslearner/ml-olympiad-autism-prediction-challenge", "kernel_id": "24393890"}, {"ref": "tajinderpalsingh61/autism-prediction-challenge-pycaret", "kernel_id": "24740340"}, {"ref": "rahimanshu/eda-with-sweetviz-2-0-ann-97", "kernel_id": "24615509"}, {"ref": "rahimanshu/amazing-eda-soft-vs-hard-voting-classifiers", "kernel_id": "24780609"}, {"ref": "rahimanshu/ml-olympiad-6-ml-algos-eda-multi-results-roc-80", "kernel_id": "24560693"}, {"ref": "kdsharmaai/4th-place-sol-asd-prediction-ridge-classifier", "kernel_id": "24335632"}, {"ref": "aryankumarsingh/gridsearch-and-rfc-please-like-and-suggest", "kernel_id": "24548368"}, {"ref": "danushkumarv/mlolympiad-autism-prediction", "kernel_id": "24818877"}, {"ref": "sarabhian/austim-prediction-optuna", "kernel_id": "24943199"}, {"ref": "sarabhian/austim-prediction-en", "kernel_id": "24767629"}, {"ref": "bentorchakarim/data-cleaning-new-data-ready-for-analysis", "kernel_id": "24320488"}, {"ref": "suchighurka/autism-prediction-eda-modelling", "kernel_id": "24561297"}, {"ref": "suchighurka/autism-prediction-detailed-eda", "kernel_id": "24528622"}, {"ref": "amanrosekaursethi/autismprediction-eda-sl", "kernel_id": "24569402"}, {"ref": "amanrosekaursethi/eda-featureimportance-classification", "kernel_id": "24754025"}, {"ref": "aradhanapratap/autism-prediction-eda-classification-analysis", "kernel_id": "24564749"}, {"ref": "anjalisharma123/ml-olympiad-autism-prediction", "kernel_id": "24864271"}, {"ref": "samuelcortinhas/asd-prediction-eda-weighted-ensemble", "kernel_id": "24359869"}, {"ref": "vadimabronin/best-score-in-open-notebooks-like-please", "kernel_id": "24513335"}, {"ref": "furkangokmen/autism-prediction-challenge", "kernel_id": "24922748"}, {"ref": "gabrieldu69/data-viz-ml", "kernel_id": "24648358"}, {"ref": "alexryzhkov/lightautoml-autism-solution", "kernel_id": "25253743"}, {"ref": "mpwolke/patchworklib-autism-challenge", "kernel_id": "25140327"}, {"ref": "sohithbandari/ml-olympiad-autism-predictor-with-basic-dnn", "kernel_id": "25222451"}, {"ref": "arnavr10880/autism-pred-eda-xgboost", "kernel_id": "25136633"}, {"ref": "aishwarya2210/ml-olympiad-prediction-of-likelihood-autism", "kernel_id": "25199371"}, {"ref": "charlottetu/exploratory-data-analysis-on-autism-prediction-r", "kernel_id": "26427711"}, {"ref": "ltrahul/austism-prediction-2022", "kernel_id": "29405814"}, {"ref": "abhaytyagi14/autism-prediction", "kernel_id": "41675262"}, {"ref": "samfouad/ml-olympiad-autism-prediction-challenge-eda", "kernel_id": "43384240"}, {"ref": "rahmaezzat66/autism-prediction-challenge-and-eda", "kernel_id": "46191881"}, {"ref": "rahmaezzat66/autism-prediction-and-eda-by-genetic-alo", "kernel_id": "47489766"}, {"ref": "ahmedfoly/autism-prediction-challenge", "kernel_id": "87099953"}, {"ref": "anayponce/trabajo-final", "kernel_id": "103490777"}, {"ref": "narareya/autismprediction", "kernel_id": "110398592"}, {"ref": "lukenanguiano/autism-screening-prediction-using-machine-learning", "kernel_id": "110637219"}]}
{"competition_id": "34095", "kernels": []}
{"competition_id": "34097", "kernels": [{"ref": "sogeking/ml-olympiad-quality-education-eda-modelagem", "kernel_id": "24750248"}, {"ref": "gomes555/quality-education-an-lise-explorat-ria", "kernel_id": "24373231"}, {"ref": "rrpronaldo/quality-education-enem", "kernel_id": "24397326"}, {"ref": "caneiro/mlo-primeira-olhada", "kernel_id": "24297296"}, {"ref": "caneiro/mlo-make-parquet", "kernel_id": "24296498"}, {"ref": "igorkf/ml-olympiad-quality-education-naive-baseline", "kernel_id": "24236518"}, {"ref": "leomariomachado/enem-challenge", "kernel_id": "24395687"}, {"ref": "fmarcelo/an-lises-descritivas", "kernel_id": "24375008"}, {"ref": "peddrogomes/ducks-micro-dados-enem-lasso", "kernel_id": "24547859"}, {"ref": "andregn/baseline-exploit-fill-nan", "kernel_id": "25237757"}, {"ref": "georgesousa/notebook-educa-o", "kernel_id": "25238906"}]}
{"competition_id": "34103", "kernels": []}
{"competition_id": "34108", "kernels": []}
{"competition_id": "34116", "kernels": [{"ref": "garbamoussa/hausa-land", "kernel_id": "24370048"}]}
{"competition_id": "34131", "kernels": [{"ref": "sanjay147/cnn-based-image-classification-model", "kernel_id": "24433246"}, {"ref": "sanjay147/ml-olympiad-landscape-prediction-eda", "kernel_id": "24433907"}, {"ref": "sidharkal/landscape-image-classification-with-resnet50", "kernel_id": "24737452"}, {"ref": "adityakane/getting-started", "kernel_id": "24281848"}, {"ref": "madelf1337/transfer-unfrozen-layers-with-efficientnet", "kernel_id": "24902397"}, {"ref": "madelf1337/layered-cnn-approach", "kernel_id": "24431399"}, {"ref": "madelf1337/custom-cnn-approach-with-batch-normalization", "kernel_id": "24442354"}, {"ref": "vkonstantakos/landscape-image-classification-cnns", "kernel_id": "25043220"}, {"ref": "vkonstantakos/landscape-classification-ensemble", "kernel_id": "25008767"}, {"ref": "eslamfouad/landscape-image-classification-prediction", "kernel_id": "36154175"}]}
{"competition_id": "34133", "kernels": []}
{"competition_id": "34137", "kernels": []}
{"competition_id": "34142", "kernels": [{"ref": "sohaibanwaar1203/house-price", "kernel_id": "24282676"}]}
{"competition_id": "34145", "kernels": []}
{"competition_id": "34150", "kernels": []}
{"competition_id": "34151", "kernels": []}
{"competition_id": "34153", "kernels": []}
{"competition_id": "34158", "kernels": []}
{"competition_id": "34159", "kernels": []}
{"competition_id": "34160", "kernels": []}
{"competition_id": "34162", "kernels": []}
{"competition_id": "34163", "kernels": []}
{"competition_id": "34164", "kernels": []}
{"competition_id": "34165", "kernels": []}
{"competition_id": "34166", "kernels": []}
{"competition_id": "34172", "kernels": []}
{"competition_id": "34177", "kernels": [{"ref": "nkaria1/criaglist-used-car-price-prediction", "kernel_id": "25071985"}, {"ref": "vkonstantakos/used-car-price-prediction-leaked-submission", "kernel_id": "25121902"}, {"ref": "vkonstantakos/used-car-price-prediction-baselines", "kernel_id": "25116656"}]}
{"competition_id": "34178", "kernels": [{"ref": "funxexcel/p1-genome-data-processing", "kernel_id": "31007146"}]}
{"competition_id": "34179", "kernels": []}
{"competition_id": "34181", "kernels": [{"ref": "tiamiyu/baseline-prediction-for-starter-score-0-90740", "kernel_id": "24508523"}, {"ref": "nkaria1/notebook", "kernel_id": "24883606"}, {"ref": "taranmarley/pycaret-applied", "kernel_id": "24408163"}, {"ref": "taranmarley/eda-to-simple-tree-prediction", "kernel_id": "24404436"}, {"ref": "mathakgalemohale/xgboost-for-ml-olympiad-good-health-and-well-bei", "kernel_id": "24722393"}, {"ref": "rocklen/ml-olympiad-good-health-and-well-being", "kernel_id": "25187883"}, {"ref": "mathurinache/3rd-on-good-health-and-well-being", "kernel_id": "26045626"}, {"ref": "mikhaylovalexander/good-health-with-logistic-regression", "kernel_id": "35427211"}]}
{"competition_id": "34184", "kernels": [{"ref": "bachrr/train-efficientnet-with-tf-data", "kernel_id": "24908772"}, {"ref": "wassimderbel/ml-olympiad-north-africain-culture-classification", "kernel_id": "25211992"}]}
{"competition_id": "34185", "kernels": []}
{"competition_id": "34189", "kernels": [{"ref": "srijita97/football-eda-and-model", "kernel_id": "24904259"}, {"ref": "aliphya/football-match-probability-prediction-eda", "kernel_id": "24662158"}, {"ref": "purvansharora/football-probability-prediction", "kernel_id": "24922936"}, {"ref": "igorkf/football-match-probability-prediction-lstm-starter", "kernel_id": "24541202"}, {"ref": "yousseftaoudi/football-match-prediction-eda", "kernel_id": "24848315"}, {"ref": "henriqueweber/football-results-prediction", "kernel_id": "24721431"}, {"ref": "octosportio/rating-and-predicting-e-sports-with-jax", "kernel_id": "24632319"}, {"ref": "octosportio/logistic-regression-submission-example", "kernel_id": "24339823"}, {"ref": "godigitalbilalbara/notebookc3bc96a698", "kernel_id": "24959895"}, {"ref": "thanawat2000/logistic-regression-submission-example", "kernel_id": "24637874"}, {"ref": "shaggy11/football-match-prediction", "kernel_id": "25275236"}, {"ref": "ravi07bec/lstm-and-feature-engineering-top8", "kernel_id": "25127107"}, {"ref": "hoangnguyen719/football-match-probability-prediction-baseline", "kernel_id": "25929100"}, {"ref": "dquadro/football-match-prob-pred-eda-and-missing-values", "kernel_id": "25114027"}, {"ref": "mpwolke/football-plan-b", "kernel_id": "25388720"}, {"ref": "mpwolke/beautiful-game-eval-ml", "kernel_id": "25308998"}, {"ref": "mpwolke/the-joy-of-soccer-flaml-automl", "kernel_id": "25330381"}, {"ref": "redha1994/eda-notebook", "kernel_id": "25726781"}, {"ref": "arjunjanamatti/notebook931e348ab2", "kernel_id": "25894700"}, {"ref": "jbomitchell/exponentially-weighted-ensemble-football-results", "kernel_id": "25663989"}, {"ref": "jbomitchell/constant-probability-baseline", "kernel_id": "25655402"}, {"ref": "yousseftaoudi/football-match-prediction-xgboost-baseline", "kernel_id": "25004453"}, {"ref": "anandaramg/football-match-target-prediction-dtreeviz", "kernel_id": "25452350"}, {"ref": "seraquevence/top-5-football-prob-prediction-lstm-v01", "kernel_id": "25438796"}, {"ref": "seraquevence/top-x-football-prob-prediction-lgbm-v01", "kernel_id": "25781675"}, {"ref": "seraquevence/top-5-football-prob-prediction-lstm-v02-gpu", "kernel_id": "25700635"}, {"ref": "nikolayluzhynski/fill-na-values-with-analysis", "kernel_id": "25614348"}, {"ref": "curiosityquotient/investigation-into-rating-feature-octosport", "kernel_id": "25460433"}, {"ref": "joanponsv/data-leakage", "kernel_id": "25694315"}, {"ref": "olalekandamola/footmatch-prediction-with-logisticregression", "kernel_id": "25991240"}, {"ref": "yasseinmahmoud/football-prediction-eda-impute-nulls", "kernel_id": "25723112"}, {"ref": "paulofelipe/blend-lstm-lgbm", "kernel_id": "26775925"}, {"ref": "uzdavinys/log-regression-with-no-imputed-nan-values", "kernel_id": "26414094"}, {"ref": "uzdavinys/xg-expected-goals-with-simple-sklearn-models", "kernel_id": "26130057"}, {"ref": "alexandreurwald/2nd-place-solution-football-prob-prediction", "kernel_id": "26826141"}, {"ref": "tarique7/simple-lightgbm-with-aggregated-features", "kernel_id": "26478878"}, {"ref": "shivamsri7/ensemble-transformer-lgbm-smote", "kernel_id": "26854701"}, {"ref": "jerker2/notebookd885bae97e", "kernel_id": "26400129"}, {"ref": "tangtunyu/football-ensemble", "kernel_id": "26806007"}, {"ref": "tangtunyu/fork-of-football-prob-lstm-v03", "kernel_id": "26760803"}, {"ref": "claraljm/footballprediction-v3", "kernel_id": "26866966"}, {"ref": "arjunjanamatti/notebooke77cdbd24b", "kernel_id": "26313493"}, {"ref": "jbomitchell/rating-model-after-curiosityquotient-szeyeung", "kernel_id": "26456166"}, {"ref": "jbomitchell/exponential-ensemble-with-shift", "kernel_id": "26794802"}, {"ref": "hamzaouammou/top-7-football-match-probability-prediction", "kernel_id": "26601901"}, {"ref": "aboriginal3153/football-match-simple-implementation-lightgbm", "kernel_id": "26278380"}, {"ref": "lonnieqin/football-prob-prediction-lstm-12th-solution", "kernel_id": "26728672"}, {"ref": "lonnieqin/football-match-probability-random-prediction", "kernel_id": "26719229"}, {"ref": "adewoleakorede/football-match-probability-prediction", "kernel_id": "26991590"}, {"ref": "youneseloiarm/football-prob-prediction-lstm-002", "kernel_id": "26779279"}, {"ref": "seraquevence/1st-place-solution-football-prob-pred", "kernel_id": "26768961"}, {"ref": "seraquevence/tensorflow-transformer-football-prob-pred-v01", "kernel_id": "26008130"}, {"ref": "seraquevence/ensemble-football-prob-prediction-lstm-lgbm-v01", "kernel_id": "26213949"}, {"ref": "szeyeung/football-prediction-by-xgboost", "kernel_id": "26288670"}, {"ref": "szeyeung/ratings-are-prediction-of-goals-scored", "kernel_id": "26557192"}, {"ref": "shariful07/football-match-probability-prediction", "kernel_id": "26560814"}, {"ref": "younesettouil/football-match-probability-prediction-logistic-re", "kernel_id": "27302970"}, {"ref": "younesettouil/football-match-probability-logisticregression", "kernel_id": "27280047"}, {"ref": "antoinegruson/prediction-pytorch-bi-lstm", "kernel_id": "32992748"}, {"ref": "wooooori/sis-football-results-prediction-kwr", "kernel_id": "33221991"}, {"ref": "jamesanavatan/football-match-data-analyses-ersen-james", "kernel_id": "39347089"}, {"ref": "daonguyenduong/football", "kernel_id": "45627178"}]}
{"competition_id": "34198", "kernels": [{"ref": "lightnessofbein/leaderboard-not-working", "kernel_id": "24493479"}, {"ref": "vadymkochkarov/pti-hack-vadym-kochkarov-revenuegrid", "kernel_id": "24764972"}, {"ref": "skydev0h/pti-hack-transformers-revenue-grid", "kernel_id": "24437691"}]}
{"competition_id": "34200", "kernels": []}
{"competition_id": "34208", "kernels": []}
{"competition_id": "34215", "kernels": [{"ref": "bayethierno/workshop-ml-olympiad-paps", "kernel_id": "24872104"}]}
{"competition_id": "34219", "kernels": [{"ref": "saumandas/reading-in-code", "kernel_id": "24547937"}]}
{"competition_id": "34224", "kernels": []}
{"competition_id": "34226", "kernels": []}
{"competition_id": "34229", "kernels": [{"ref": "ltrahul/iit-g-hackathon", "kernel_id": "28390227"}]}
{"competition_id": "34234", "kernels": [{"ref": "darkvenom1/notebookaee5b771c8", "kernel_id": "24600657"}]}
{"competition_id": "34244", "kernels": []}
{"competition_id": "34247", "kernels": []}
{"competition_id": "34252", "kernels": []}
{"competition_id": "34253", "kernels": []}
{"competition_id": "34259", "kernels": []}
{"competition_id": "34263", "kernels": []}
{"competition_id": "34268", "kernels": []}
{"competition_id": "34270", "kernels": []}
{"competition_id": "34273", "kernels": [{"ref": "meshcheriakovilya/catboost-kaggle-aed", "kernel_id": "28134182"}]}
{"competition_id": "34277", "kernels": []}
{"competition_id": "34290", "kernels": [{"ref": "shwksl101/baseline-taehee", "kernel_id": "24469513"}, {"ref": "taeheekimkaist/baseline-taehee", "kernel_id": "24469705"}]}
{"competition_id": "34292", "kernels": []}
{"competition_id": "34295", "kernels": []}
{"competition_id": "34297", "kernels": []}
{"competition_id": "34308", "kernels": []}
{"competition_id": "34312", "kernels": []}
{"competition_id": "34320", "kernels": []}
{"competition_id": "34324", "kernels": []}
{"competition_id": "34337", "kernels": []}
{"competition_id": "34339", "kernels": []}
{"competition_id": "34340", "kernels": []}
{"competition_id": "34341", "kernels": []}
{"competition_id": "34342", "kernels": []}
{"competition_id": "34346", "kernels": [{"ref": "merorap/weaterpredictions-eda-pre-prc-datacle-ml", "kernel_id": "24547837"}]}
{"competition_id": "34347", "kernels": [{"ref": "wassimchouchen/dev-fest-competition", "kernel_id": "24644628"}, {"ref": "ahmedsta/profit-prediction-from-clients", "kernel_id": "24623608"}, {"ref": "rocklen/devfest21-competition", "kernel_id": "25015374"}]}
{"competition_id": "34348", "kernels": []}
{"competition_id": "34349", "kernels": [{"ref": "sohier/basic-submission-demo", "kernel_id": "25621599"}, {"ref": "smeitoma/submission-demo", "kernel_id": "25986558"}, {"ref": "smeitoma/train-demo", "kernel_id": "25985719"}, {"ref": "smeitoma/jpx-competition-metric-definition", "kernel_id": "25986115"}, {"ref": "riteshsinha/useful-features-in-predicting-stock-prices", "kernel_id": "26388535"}, {"ref": "pappukrjha/submission-test", "kernel_id": "26077891"}, {"ref": "gopalmahadevan/jpx-markowitz-portfolio-optimization", "kernel_id": "26750704"}, {"ref": "paulorzp/optimal-portfolios-and-the-efficient-frontier", "kernel_id": "26819648"}, {"ref": "paulorzp/jpx-lucky-random-rank", "kernel_id": "26940051"}, {"ref": "paulorzp/jpx-simple-overfitting-model-lb-3", "kernel_id": "26187379"}, {"ref": "paulorzp/jpx-prophet-forecasting-rolling-regression", "kernel_id": "26297040"}, {"ref": "paulorzp/jpx-naive-model", "kernel_id": "26037269"}, {"ref": "paulorzp/mean-model-jpx", "kernel_id": "26038286"}, {"ref": "paulorzp/simple-rolling-linear-regression-no-leakage", "kernel_id": "26488264"}, {"ref": "paulorzp/jpxutils", "kernel_id": "26340893"}, {"ref": "code1110/jquants-end-to-end-starter", "kernel_id": "26012696"}, {"ref": "aemulcahy/jpx-tse-minimal-catboost-baseline", "kernel_id": "26704912"}, {"ref": "cv13j0/jpx-tokyo-stock-exchange-prediction-xgboost", "kernel_id": "26088982"}, {"ref": "johnakwei/jpx-stock-prediction-xgb-in-r", "kernel_id": "26152939"}, {"ref": "ikeppyo/jpx-target-and-shifted-target-submit-test", "kernel_id": "26139144"}, {"ref": "ikeppyo/jpx-lightgbm-demo", "kernel_id": "26040635"}, {"ref": "ikeppyo/examples-of-higher-scores-than-perfect-predictions", "kernel_id": "26176990"}, {"ref": "bond005/jpx-extratrees", "kernel_id": "26925569"}, {"ref": "swimmy/lgbm-opt-model-jpx", "kernel_id": "26064386"}, {"ref": "swimmy/lgbm-model-fe-portfolio", "kernel_id": "26139271"}, {"ref": "swimmy/xgboost-model-jpx", "kernel_id": "26139376"}, {"ref": "maheshak04/japan-stock-exchange-examine-data", "kernel_id": "26048995"}, {"ref": "xelav7/quick-look-at-jpx-data", "kernel_id": "26239561"}, {"ref": "bowaka/jpx-a-proof-for-not-relying-on-public-scores", "kernel_id": "26876297"}, {"ref": "bowaka/jpx-buying-strategy-backtest", "kernel_id": "26386797"}, {"ref": "bowaka/jpx-extended-dataset-with-yfinance", "kernel_id": "26428258"}, {"ref": "bowaka/jpx-simple-mean-reversion-strategy", "kernel_id": "26524251"}, {"ref": "noi031/local-api", "kernel_id": "26907723"}, {"ref": "vweimer/jpx-analysis-and-prep-data", "kernel_id": "26623626"}, {"ref": "tj0612/duplicated-row-in-option-csv", "kernel_id": "26044221"}, {"ref": "shivamanhar/tokyo-stock-exchange-svr-sklearn", "kernel_id": "26538608"}, {"ref": "metathesis/feature-engineering-training-with-ta", "kernel_id": "26070891"}, {"ref": "ympaik/tokyo-stock-exchange-prediction-with-xgboost", "kernel_id": "26037979"}, {"ref": "revathiprakash/jpx-eda", "kernel_id": "26031585"}, {"ref": "ashwanibhat/jpx-lstm-baseline", "kernel_id": "26122712"}, {"ref": "bturan19/lightgbm-ranker-introduction", "kernel_id": "26116609"}, {"ref": "rui010/lgbm-time-series", "kernel_id": "26304879"}, {"ref": "rui010/financials-csv", "kernel_id": "26262416"}, {"ref": "freshprincestats/stock-information-with-xgboost", "kernel_id": "26245111"}, {"ref": "pirsqrd/eda-tokyo-sep", "kernel_id": "26272655"}, {"ref": "notabene/jpx-feat-util", "kernel_id": "26879742"}, {"ref": "notabene/jpx-feat-generation", "kernel_id": "26879794"}, {"ref": "kei96kag/jpx-eda-price-volatility-data-understanding-by-r", "kernel_id": "26681243"}, {"ref": "arieljumba/jpx-tokyo-stock-exchange", "kernel_id": "26692208"}, {"ref": "kyoroid/jpx-rate-of-change", "kernel_id": "26240238"}, {"ref": "daosword/jpx-window-based-regression-with-xgboost-infer", "kernel_id": "26742678"}, {"ref": "daosword/jpx-window-based-regression-with-xgboost-train", "kernel_id": "26626529"}, {"ref": "daosword/jpx-neural-network-starter-keras", "kernel_id": "26355455"}, {"ref": "xiaohuivictorli/jpx-submission-demo", "kernel_id": "26872036"}, {"ref": "bisman/jpx-submission", "kernel_id": "26242750"}, {"ref": "maximlopez18/eda-tokio", "kernel_id": "26645213"}, {"ref": "petersk20/adjusting-price-and-volume-for-stock-splits", "kernel_id": "26060773"}, {"ref": "stpeteishii/jpx-daily-gain-rate-similarity", "kernel_id": "26289233"}, {"ref": "stpeteishii/jpx-tokyo-stock-exchange-data-view", "kernel_id": "26044905"}, {"ref": "stpeteishii/profit-visualize-importance-from-financial-data", "kernel_id": "26119282"}, {"ref": "diedioskuren/jpx-lgbm-model-with-optuna", "kernel_id": "26116695"}, {"ref": "diedioskuren/scores-for-each-ndays-computed", "kernel_id": "26065007"}, {"ref": "sachinkumar413/tokyo-stock-exchange-prediction-v3-0", "kernel_id": "26476965"}, {"ref": "pabuoro/jpx-group-time-series-cv-xgboost", "kernel_id": "26185742"}, {"ref": "mpwolke/william-f-sharpe-the-sharpe-ratio", "kernel_id": "26062278"}, {"ref": "jiripodivin/supervised-stocks-eda-and-basic-pca", "kernel_id": "26268293"}, {"ref": "tadakasuryateja/jpx-stock-exchange-predicion-eda", "kernel_id": "26888889"}, {"ref": "michaelgeorgerasmy/tokyo-stock-exchange-prediction-eda-01", "kernel_id": "26026492"}, {"ref": "kentaro7/help-can-t-drop", "kernel_id": "26419148"}, {"ref": "ekichi/jpx-eda-for-stock-price-spec", "kernel_id": "26285633"}, {"ref": "pjbhaumik/jpx-lstm-autoencoder-lstm-pipeline", "kernel_id": "26652018"}, {"ref": "oneclicksimplify/jpx-augmented-dickey-fuller-test", "kernel_id": "26545751"}, {"ref": "dinowun/eda-simplified-jpx-stock-exchange-prediction", "kernel_id": "26010766"}, {"ref": "chumajin/easy-to-understand-the-competition", "kernel_id": "26023445"}, {"ref": "lucasmorin/jpx-macro-data-from-public-apis", "kernel_id": "26061048"}, {"ref": "lucasmorin/jpx-eda-feature-engineering-options", "kernel_id": "26256297"}, {"ref": "lucasmorin/jpx-all-data-xgbranker", "kernel_id": "26204627"}, {"ref": "lucasmorin/jpx-online-feature-engineering-prices", "kernel_id": "26204752"}, {"ref": "lucasmorin/jpx-yfinance-stock-prices-and-infos", "kernel_id": "26496712"}, {"ref": "lucasmorin/jpx-eda-feature-engineering-financial-data", "kernel_id": "26332889"}, {"ref": "carlmcbrideellis/jpx-are-my-monkeys-normal", "kernel_id": "26444367"}, {"ref": "carlmcbrideellis/jpx-baseline-monkey-throwing-dart-model", "kernel_id": "26024934"}, {"ref": "tensorchoko/jpx-eda-model-jp-en", "kernel_id": "26024681"}, {"ref": "tensorchoko/jpx-eda-en", "kernel_id": "26780201"}, {"ref": "vasiliisitdikov/adjusted-target-still-doesn-t-match-the-given-one", "kernel_id": "26787167"}, {"ref": "vasiliisitdikov/be-careful-target-is-not-what-it-claims-to-be", "kernel_id": "26742620"}, {"ref": "parshivshah/making-your-first-submission", "kernel_id": "26975320"}, {"ref": "aboriginal3153/jpx-tokyo-simple-lstm-network", "kernel_id": "26443611"}, {"ref": "aboriginal3153/ver-jpx-tokyo-simple-way-by-lstm", "kernel_id": "26080809"}, {"ref": "parthavjoshi/first", "kernel_id": "26123517"}, {"ref": "huayao0728/lstm-small-size-scored-rebuild", "kernel_id": "26959380"}, {"ref": "kalilurrahman/jpx-tse-prediction-analysis", "kernel_id": "26050974"}, {"ref": "bnhtin/tokyo-neural-network", "kernel_id": "26844024"}, {"ref": "mmmcrim/jpx-prediction-lgmb-with-ta-betadiff-p-e-ratios", "kernel_id": "26072669"}, {"ref": "nguyenngoclan/fork-of-jpx-lgbm-dummy-model", "kernel_id": "26481647"}, {"ref": "lonnieqin/tokyo-stock-exchange-prediction-with-catboost", "kernel_id": "26014535"}, {"ref": "lonnieqin/tokyo-stock-market-prediction-with-catboost-v2", "kernel_id": "26132444"}, {"ref": "lonnieqin/jpx-simple-overfitting-model-with-bayesianridge", "kernel_id": "26326737"}, {"ref": "nelsonotuma/jpx-tokyo-stock-exchange-prediction-neural-network", "kernel_id": "26483973"}, {"ref": "celiker/abusing-leakages-for-fun", "kernel_id": "26318856"}, {"ref": "avijitduttta/xgboost-try2", "kernel_id": "26505627"}, {"ref": "vivovinco/jpx-top-50", "kernel_id": "26935852"}, {"ref": "kevinmontes/using-adjustment-factors", "kernel_id": "26060581"}, {"ref": "kipmav/jpx-understanding-basic-cnn-prediction", "kernel_id": "26414368"}, {"ref": "munumbutt/no-leakage-simple-lgbm", "kernel_id": "26536117"}, {"ref": "hechtjp/jpx-eda-with-cudf-key-events-japan-market", "kernel_id": "26524434"}, {"ref": "hechtjp/jpx-keras-lstm-with-single-input", "kernel_id": "26837106"}, {"ref": "dhananjaymishra1995/knowing-about-data", "kernel_id": "26060278"}, {"ref": "mustafagull/jpx-tokyo-stock-exchange-prediction", "kernel_id": "26182101"}, {"ref": "tera555/lgbm-baseline-for-local-score-calc", "kernel_id": "26837968"}, {"ref": "tera555/understand-the-api-for-submission", "kernel_id": "26659189"}, {"ref": "tera555/eda-target-analysis", "kernel_id": "26663092"}, {"ref": "tera555/lgbm-baseline-with-technical-indicator", "kernel_id": "26608510"}, {"ref": "tera555/how-to-install-ta-lib", "kernel_id": "26564057"}, {"ref": "shivkumarganesh/sector-sub-sector-based-exploratory-data-analysis", "kernel_id": "26060185"}, {"ref": "abaojiang/sharpe-ratio-evaluator", "kernel_id": "26630357"}, {"ref": "abaojiang/jpx-detailed-eda", "kernel_id": "26031099"}, {"ref": "foolishboi/jpx-tokyo-simpleeda", "kernel_id": "26234829"}, {"ref": "tahmidulkashfi/easiest-eda", "kernel_id": "26507100"}, {"ref": "feezakhankhanzada/financial-analysis-of-individual-shares", "kernel_id": "26015535"}, {"ref": "feezakhankhanzada/trend-and-seasonality-of-individual-stocks", "kernel_id": "26086627"}, {"ref": "dylanhedded/jpx-lgbm-baseline-with-grouptimeseriessplit", "kernel_id": "26210495"}, {"ref": "dylanhedded/visualization-some-useful-stock-market-features", "kernel_id": "26459156"}, {"ref": "dylanhedded/simple-data-preprocess-on-each-stock", "kernel_id": "26415742"}, {"ref": "dylanhedded/lightgbm-params-visualization-with-optuna", "kernel_id": "26392218"}, {"ref": "muhammadsuryantoro/best-return", "kernel_id": "26065976"}, {"ref": "itachicom615/jpx-competition", "kernel_id": "26909126"}, {"ref": "akshayr009/trainfile", "kernel_id": "26686871"}, {"ref": "kumarrp/jpx-lgbm-model", "kernel_id": "26441128"}, {"ref": "vasilyponomarev/abusing-leakages-for-fun-show-must-go-on", "kernel_id": "26328951"}, {"ref": "realeasonhuang/jpx-competition-notebook-eda", "kernel_id": "26034458"}, {"ref": "shaikhshoeb/eda-seasonality-acf-pacf-fbprophet", "kernel_id": "26233498"}, {"ref": "ericchu630/jpx-baseline-efficient-frontier", "kernel_id": "26551446"}, {"ref": "ravishah1/jpx-dnn-lgbm-with-cross-validation", "kernel_id": "26117616"}, {"ref": "sardorabdirayimov/hybrid-model-linear-regression-and-xgboost", "kernel_id": "26601010"}, {"ref": "sardorabdirayimov/xgboost-of-something-wrong", "kernel_id": "26414746"}, {"ref": "sardorabdirayimov/fork-of-jpx-lgbm-dummy-model", "kernel_id": "26426117"}, {"ref": "sardorabdirayimov/jpx-lgbm-dummy-model", "kernel_id": "26177027"}, {"ref": "paulomikkonen/notebook91f8a3202a", "kernel_id": "26110249"}, {"ref": "mahendrasinghrajpoot/tokyo-stock-market", "kernel_id": "26987402"}, {"ref": "anurag2405/jpx-tokyo-stock-exchange-prediction", "kernel_id": "26630992"}, {"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "julioam/jpx-stock-exchange-predict", "kernel_id": "26065622"}, {"ref": "xingzlee/jpx-lstm-simple", "kernel_id": "26322715"}, {"ref": "junjitakeshima/jpx-add-new-features-eng", "kernel_id": "26657656"}, {"ref": "lancezero/simple-leakage-submission-test", "kernel_id": "26884687"}, {"ref": "keerthanavivin/exploratory-data-analysis", "kernel_id": "26712316"}, {"ref": "atishghoshdastidar/notebookc65094a0c0", "kernel_id": "26101037"}, {"ref": "srinuvassontena/kggel-challenge-01", "kernel_id": "26654007"}, {"ref": "saadmehar/jpx-tokyo-stock-price-prediction", "kernel_id": "26632687"}, {"ref": "jonathandavidmartin/jpx-stock-analysis-prediction", "kernel_id": "26404034"}, {"ref": "seraquevence/jpx-markowitz-portfolio-optimization", "kernel_id": "26668745"}, {"ref": "snehsingh001/tokyo-stock-exchange-eda", "kernel_id": "26284573"}, {"ref": "wenjunzhang323/abusing-leakages-for-fun", "kernel_id": "26628312"}, {"ref": "nsndhung/jpx-tokyo-stock", "kernel_id": "26806896"}, {"ref": "pixyz0130/jpx-eda-trends", "kernel_id": "26178169"}, {"ref": "thanakr/beginner-project-in-stock-market", "kernel_id": "26202305"}, {"ref": "yuyougnchan/jpx-lgbm-baseline-tutorial-score-5-436", "kernel_id": "26628410"}, {"ref": "vikalptripathi/jpxtokyo", "kernel_id": "26736851"}, {"ref": "ashioyajotham/jpx-tokyo-stock-list-eda", "kernel_id": "26693059"}, {"ref": "bhavayc/rank-1-submission-score-1500000", "kernel_id": "26712935"}, {"ref": "mohammadrahmati/ta-and-pattern-recognition-using-ta-lib", "kernel_id": "26883230"}, {"ref": "ericlepouchard/jpx-target-calc", "kernel_id": "26616882"}, {"ref": "lowellniles/start-to-finish-demo-based-on-s-meitoma-tweaks", "kernel_id": "26012014"}, {"ref": "tgwstr/lgbm-baseline-colab", "kernel_id": "26384216"}, {"ref": "gongzihao/jpx-demo", "kernel_id": "26239356"}, {"ref": "natnitarach/jpx-0-2-aemlp-gkf", "kernel_id": "26307314"}, {"ref": "takashitachikawa01/time-series-api-for-local-environment", "kernel_id": "26863467"}, {"ref": "tyrionlannisterlzy/jpx-early-template-for-everyone-to-use", "kernel_id": "26013653"}, {"ref": "tyrionlannisterlzy/jpx-lgbm-model-auto-search-para", "kernel_id": "26148884"}, {"ref": "tyrionlannisterlzy/market-overview-feature-through-shift-lb-5-978", "kernel_id": "26275484"}, {"ref": "kaggleamror/factors-add-jpx", "kernel_id": "26093115"}, {"ref": "onurkoc83/calc-of-target-and-sharpe-ratio-step-by-step", "kernel_id": "26802531"}, {"ref": "onurkoc83/calc-of-adjusted-close", "kernel_id": "26851762"}, {"ref": "onurkoc83/effect-of-securitiescodes-on-daily-spread-returns", "kernel_id": "26963660"}, {"ref": "onurkoc83/technical-analysis-trading-index-trin", "kernel_id": "26602883"}, {"ref": "akshaypawar7/jpx-stock-market-2021-dec-03", "kernel_id": "26820415"}, {"ref": "ayhuang/a-single-transformer-model-for-all-2000-stocks", "kernel_id": "26722554"}, {"ref": "javigallego/jpx-stock-exchange", "kernel_id": "26746205"}, {"ref": "chenpro/jpx-lgbm-model-auto-search-para", "kernel_id": "26164024"}, {"ref": "genbufuthark/iterator-provide-a-bit-difference-with-trades-csv", "kernel_id": "26597184"}, {"ref": "genbufuthark/overview-of-the-nikkei225-and-their-option", "kernel_id": "26487397"}, {"ref": "genbufuthark/jpx-tokyo-market-prediction", "kernel_id": "26441983"}, {"ref": "genbufuthark/jpx-datafile-description-in-japanese", "kernel_id": "26294405"}, {"ref": "victorborbor/gaussian-mixture-model-clustering-open-to-solve", "kernel_id": "26219776"}, {"ref": "periklisdrakousis/notebook92966581ad", "kernel_id": "26694157"}, {"ref": "franciscofeng/fork-of-fork-of-no-leakage-dnn-prediction-2b0b30", "kernel_id": "26959668"}, {"ref": "franciscofeng/fork-of-fork-of-lgbm-classifier-prediction-c30a64", "kernel_id": "26991834"}, {"ref": "franciscofeng/no-leakage-dnn-prediction-feature-engineering", "kernel_id": "26897952"}, {"ref": "franciscofeng/fork-of-no-leakage-dnn-prediction-feature-engin", "kernel_id": "26898484"}, {"ref": "solvar/simple-rolling-linear-regression-no-leakage", "kernel_id": "26498083"}, {"ref": "cjamplunc/jpx-csv-to-pickle", "kernel_id": "26617314"}, {"ref": "cjamplunc/jpx-explore-main-data", "kernel_id": "26617593"}, {"ref": "tinaramezani/japan-stock-trade", "kernel_id": "26060511"}, {"ref": "cbeaud/jpx-tokyo-stock-score-0-672", "kernel_id": "26073110"}, {"ref": "alexandryanul/vector-gru-3", "kernel_id": "26450089"}, {"ref": "alexandryanul/lightgbm-lgbmregressor", "kernel_id": "26699205"}, {"ref": "pikacat/visualization", "kernel_id": "26658427"}, {"ref": "kyglx0/easy-to-understand-the-competition", "kernel_id": "26730964"}, {"ref": "jsmithperera/train-lgbm", "kernel_id": "27709762"}, {"ref": "mavillan/jpx-tsep-autocorrelation", "kernel_id": "27221210"}, {"ref": "gergamme/jpx-v3", "kernel_id": "27296185"}, {"ref": "datahobbit/jpx-network-models-and-feature-generation", "kernel_id": "27394456"}, {"ref": "paulorzp/jpx-rolling-sharpe-ratio-rank-no-leak", "kernel_id": "27092542"}, {"ref": "mbarkat1985/jpx-stock-market-analysis-prediction-with-lgbm", "kernel_id": "27299628"}, {"ref": "sunone5/stock-prices-prediction-with-esn", "kernel_id": "27131136"}, {"ref": "krishm/jpx-cluster-and-rank", "kernel_id": "27605203"}, {"ref": "bowaka/jpx-solution-of-previous-jpx-competition", "kernel_id": "27171524"}, {"ref": "kevinbird15/fastai-starter-notebook", "kernel_id": "27615065"}, {"ref": "vweimer/jpx-adjusted-close-and-volume-and-features", "kernel_id": "27121752"}, {"ref": "dingyan/jpx-gru-tensorflow-baseline-no-leak", "kernel_id": "27498019"}, {"ref": "dingyan/jpx-native-method-submission", "kernel_id": "27522818"}, {"ref": "dingyan/jpx-gru-tensorflow-baseline-no-leak-submission", "kernel_id": "27503114"}, {"ref": "kaushiksuresh147/jpx-feature-engineering", "kernel_id": "27066274"}, {"ref": "marcogorelli/target-discrepancies", "kernel_id": "27215347"}, {"ref": "bturan19/rank-features", "kernel_id": "27146616"}, {"ref": "pirsqrd/first-baseline-lgbm", "kernel_id": "27119943"}, {"ref": "pirsqrd/ensemble-solution-baseline", "kernel_id": "27660239"}, {"ref": "notabene/jpx-lgb-test", "kernel_id": "27685150"}, {"ref": "notabene/jpx-feat-generation-no-leak", "kernel_id": "27762579"}, {"ref": "notabene/jpx-lgb-test-no-leak", "kernel_id": "27857806"}, {"ref": "notabene/mean-rank-baseline-no-leak", "kernel_id": "27900975"}, {"ref": "kei96kag/jpx-experiment-lgb-didn-t-work-as-expected", "kernel_id": "27664477"}, {"ref": "flat831/4th-place-model", "kernel_id": "27721183"}, {"ref": "daosword/jpx-pytorch-neural-network-with-ta-lib-features", "kernel_id": "27168581"}, {"ref": "avivlevi815/eda-jpx", "kernel_id": "27100779"}, {"ref": "xiaohuivictorli/fork-of-jpx-submission-demo", "kernel_id": "27088875"}, {"ref": "xiaohuivictorli/jpx-submission-demo-2-0", "kernel_id": "27663753"}, {"ref": "stpeteishii/jpx-growth-companies-annual-growth-rate-ranking", "kernel_id": "27532446"}, {"ref": "ricopue/jpx-tokyo-securities-filter-no-leak", "kernel_id": "27004191"}, {"ref": "aimalrehman92/data-analysis-stock-pricing", "kernel_id": "27216943"}, {"ref": "tanushka816/lgbm-model-with-data-clearing", "kernel_id": "27050475"}, {"ref": "tanushka816/jpx-simple-overfitting-model-lb-3", "kernel_id": "27008955"}, {"ref": "yukikawa/notebook", "kernel_id": "27461798"}, {"ref": "onodera1/feature-engineering-sample", "kernel_id": "27424795"}, {"ref": "tatsuyafujii/eda-jp-tokyo-stock-4", "kernel_id": "27651248"}, {"ref": "tatsuyafujii/eda-jp-tokyo-stock-3", "kernel_id": "27452468"}, {"ref": "tatsuyafujii/eda-jp-tokyo-stock-2", "kernel_id": "27449545"}, {"ref": "tatsuyafujii/eda-jp-tokyo-stock-1", "kernel_id": "27060558"}, {"ref": "tatsuyafujii/lightgbm-baseline", "kernel_id": "27992703"}, {"ref": "swiftpredator/xgboost-optuna-short", "kernel_id": "27142157"}, {"ref": "anmolgupta11090/nvidia-tspp-libraries", "kernel_id": "27636651"}, {"ref": "anmolgupta11090/jpx-tokyo-stock-prediction-with-nvidia-tspp", "kernel_id": "27766149"}, {"ref": "yamashita0240/jpx-fractional-difference-fracdiff", "kernel_id": "27863908"}, {"ref": "shokisakai/jpx-regression", "kernel_id": "27426919"}, {"ref": "muhammedtausif/jpx-tokyo-stock-exchange-eda", "kernel_id": "27174154"}, {"ref": "kotaromiura/jpx-lgbm-demo", "kernel_id": "27898582"}, {"ref": "kavishgoyal/jpx-tokyo-stock-exchange-prediction-by-kv", "kernel_id": "27100201"}, {"ref": "kevin10319/lgbm-regression", "kernel_id": "27436112"}, {"ref": "huyuet/xgboost-try2", "kernel_id": "27539130"}, {"ref": "rahilsidiqqui/rahil-siddiqui", "kernel_id": "27808798"}, {"ref": "adammalecek/pytorchforecasting-submission", "kernel_id": "27499438"}, {"ref": "nataliasz/quick-lgbm-no-leak", "kernel_id": "27248577"}, {"ref": "nataliasz/catboost-with-date-id-rank-no-leak", "kernel_id": "27701908"}, {"ref": "yisyuanlee/ds-final-pipeline", "kernel_id": "27505250"}, {"ref": "yisyuanlee/ds-final-w-ta", "kernel_id": "27615549"}, {"ref": "munumbutt/parallel-feature-engineering-no-leak-lgbm", "kernel_id": "27047265"}, {"ref": "kellibelcher/jpx-stock-market-analysis-prediction-with-lgbm", "kernel_id": "27148618"}, {"ref": "toshikio/jpx-tokyo", "kernel_id": "27636594"}, {"ref": "hechtjp/jpx-keras-stacking-lstm-beginner", "kernel_id": "27239140"}, {"ref": "hechtjp/jpx-lgbmranker-learning-from-past-jpx-competition", "kernel_id": "27486833"}, {"ref": "kuxtu72/notebooka70d9a4062", "kernel_id": "27621895"}, {"ref": "strittmm/submission-experiment", "kernel_id": "27873734"}, {"ref": "dmitrykibalnikov/lazy-eda-using-r-data-table", "kernel_id": "27407985"}, {"ref": "ryutafujimoto/jpx-eggs-of-ds", "kernel_id": "27493257"}, {"ref": "mujrush/jpx-tabnet-starter-train", "kernel_id": "27640042"}, {"ref": "mujrush/jpx-1dcnn-starter-train", "kernel_id": "27638602"}, {"ref": "mujrush/jpx-transformer-starter-on-tpu-train", "kernel_id": "27638633"}, {"ref": "azminetoushikwasi/all-imputation-techniques-with-pros-and-cons", "kernel_id": "27588167"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "shoheiyamauchi/eda-jpx", "kernel_id": "27661542"}, {"ref": "mohammad2012191/end-to-end-starter-notebook-lgbm", "kernel_id": "27371203"}, {"ref": "g00kai/lgbm-explicit-vs-implicit-target-prediction", "kernel_id": "27758344"}, {"ref": "musabbirarrafi/random-forest-with-optuna", "kernel_id": "27489708"}, {"ref": "annurana1/notebookfcc8e55c2e", "kernel_id": "27007326"}, {"ref": "momonos/jpx-detailed-eda", "kernel_id": "27836770"}, {"ref": "jimpetoskey/submission-practice-with-submission-csv", "kernel_id": "27111583"}, {"ref": "jimpetoskey/arima-submission-1", "kernel_id": "27008788"}, {"ref": "jimpetoskey/random-forest-regressor", "kernel_id": "27228103"}, {"ref": "jimpetoskey/prophet", "kernel_id": "27202497"}, {"ref": "junxum/submit-jpx", "kernel_id": "27380754"}, {"ref": "natnitarach/jpx-1-2-hp-aemlp-tf", "kernel_id": "27641902"}, {"ref": "natnitarach/jpx-2-2-lstm-gru-tf", "kernel_id": "27839075"}, {"ref": "romaupgini/relevant-external-features-for-jpx-competition", "kernel_id": "27768074"}, {"ref": "wangyongzheandrew/jpx-xgboost-from-catlikeicecreampredict", "kernel_id": "27803672"}, {"ref": "onurkoc83/financials-stock-list-options-trades-feature-eng", "kernel_id": "27712974"}, {"ref": "onurkoc83/validation-score-with-stlist-prices-score-0-1601", "kernel_id": "27741892"}, {"ref": "onurkoc83/technical-features-trading-strategy", "kernel_id": "27826195"}, {"ref": "onurkoc83/simple-lstm-prediction-for-next-day", "kernel_id": "27851368"}, {"ref": "onurkoc83/lstm-sharpe-ratio-3-55", "kernel_id": "27877045"}, {"ref": "onurkoc83/magical-lstm-prediction", "kernel_id": "27862854"}, {"ref": "onurkoc83/multivariate-lstm-close-open-high-low-volume", "kernel_id": "27884773"}, {"ref": "yangonjr/lightgbm", "kernel_id": "27722755"}, {"ref": "carls2rt/neuralprophet-model", "kernel_id": "27539105"}, {"ref": "melmurphy/stocks-notebook", "kernel_id": "27660995"}, {"ref": "gehallak/stock-list-eda", "kernel_id": "27131678"}, {"ref": "bouchanesoukaina/jpx-tokyo-stock-exchange-prediction-using-lstm", "kernel_id": "27272320"}, {"ref": "wentinglu/lstm-prediction-with-ohlc", "kernel_id": "27045800"}, {"ref": "franciscofeng/multilabel-multiclass-dnn-prediction-v2", "kernel_id": "27279219"}, {"ref": "franciscofeng/fe-preprocess-ica-ensemble-dnn", "kernel_id": "27051047"}, {"ref": "franciscofeng/advanced-lgbm-classfication-prediction", "kernel_id": "27073903"}, {"ref": "jihoryu1/eda-using-ta-lib", "kernel_id": "27919965"}, {"ref": "jihoryu1/feature-engineering-test", "kernel_id": "27920151"}, {"ref": "wannabebotter/tech-fin-xgboost-per-sector-prediction", "kernel_id": "27652888"}, {"ref": "shangan/jpx-tokyo-stock-exchange-prediction-notebook", "kernel_id": "27129210"}, {"ref": "ayhsdaj/lgbm-model-fe-portfolio", "kernel_id": "27256179"}, {"ref": "shariful07/jpx-simple-prediction-t1", "kernel_id": "27585029"}, {"ref": "thedatabyte/merged-df-example-stock-prices-financials", "kernel_id": "27304413"}, {"ref": "thedatabyte/what-random-looks-like", "kernel_id": "27227998"}, {"ref": "abcdcamey/my-baseline", "kernel_id": "28266632"}, {"ref": "jsmithperera/submission-demo-v2", "kernel_id": "28155605"}, {"ref": "aemulcahy/topological-data-analysis-tda", "kernel_id": "28262452"}, {"ref": "fatihaslan/tcn-0", "kernel_id": "28235944"}, {"ref": "bharatnadar/ensemble", "kernel_id": "28362255"}, {"ref": "szukiyu/late-submission-with-sign-flipped", "kernel_id": "28490070"}, {"ref": "ozoozo/jpx-eda-time-intervals-in-the-files", "kernel_id": "28018747"}, {"ref": "kento217/jpx-simple-lightgbm-model", "kernel_id": "28432501"}, {"ref": "xiaohuivictorli/jpx-lb-baseline-pipeline", "kernel_id": "28244737"}, {"ref": "swiftpredator/lgbm-hierarch-place-8", "kernel_id": "28456146"}, {"ref": "rangeratkaggle/jpx-tokyo-stock-exchange-prediction-data-analysis", "kernel_id": "28132144"}, {"ref": "yuanzhezhou/official-baseline-combined", "kernel_id": "28226476"}, {"ref": "celiker/pandas-ta-ta-lib-jpx-starter", "kernel_id": "28176683"}, {"ref": "abhisekdash37/jpx-lgbm", "kernel_id": "28338326"}, {"ref": "ryutafujimoto/jpg-eggs-of-ds-ver2", "kernel_id": "28062324"}, {"ref": "arsalandejkam/eda-jpx-competition", "kernel_id": "28103804"}, {"ref": "santosh1974/jpx-first", "kernel_id": "28215042"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "sonu2252/multi-step-lstm", "kernel_id": "28170963"}, {"ref": "yolandap/asian-stock-case-problem-yolandap-csv", "kernel_id": "28197714"}, {"ref": "rlaquddbs/ml-with-lightgbm", "kernel_id": "28179031"}, {"ref": "natnitarach/jpx-0-0-get-cgkf-32f-positivenegative-tf", "kernel_id": "28013980"}, {"ref": "onurkoc83/guys-let-s-write-tactics-to-comments", "kernel_id": "28074344"}, {"ref": "onurkoc83/train-feats-st-list-feats-valid-score-0-6", "kernel_id": "28001987"}, {"ref": "okanzkaya/ta-lib-technical-indicators-and-implementations", "kernel_id": "28226977"}, {"ref": "okanzkaya/jpx-tokyo-ts-cv-implementation-lgbm-optuna-fe", "kernel_id": "28147039"}, {"ref": "okanzkaya/let-s-get-in-overview", "kernel_id": "28049293"}, {"ref": "devpark0506/jpx-stock-market-analysis-prediction-with-lgbm", "kernel_id": "28274031"}, {"ref": "nizmomm/hht-decompose-v1", "kernel_id": "28419481"}, {"ref": "peterkeszthelyi/jpx-tokyo-ar-arma-arima-models-on-log-returns", "kernel_id": "28100329"}, {"ref": "unokensuke/eng-eda-prediction-evaluation", "kernel_id": "28040342"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "kaito510/41st-place-w-minor-error-flipped-rolling", "kernel_id": "30890181"}, {"ref": "xxxxyyyy80008/jpx-data-processing-csv2parquet", "kernel_id": "30696156"}, {"ref": "azminetoushikwasi/intro-to-lstm-time-series-forecasting", "kernel_id": "30110394"}, {"ref": "jiya7316/jpx-tokyo-stock", "kernel_id": "30090245"}, {"ref": "kyoroid/66th-place-rate-of-change-strategy", "kernel_id": "31182740"}, {"ref": "jonnydossantos/jpx-5th-place-0-339", "kernel_id": "31269483"}, {"ref": "bryanpek/simple-mean-reversion-1", "kernel_id": "31843729"}, {"ref": "xxxxyyyy80008/jpx-regression-8c4580", "kernel_id": "31939762"}, {"ref": "kento217/jpx-simple-model", "kernel_id": "32132668"}, {"ref": "xxxxyyyy80008/dissecting-and-correcting-2nd-place-solution", "kernel_id": "32026396"}, {"ref": "bhatnagardaksh/distributed-computation-using-pyspark", "kernel_id": "32698788"}, {"ref": "bhatnagardaksh/stock-predictions-with-backtesting-arima-and-gru", "kernel_id": "32529835"}, {"ref": "sakshamparashar/tokyo-stock-predict-2nd-place", "kernel_id": "32095556"}, {"ref": "ayarihamza/pi-jpx-g3", "kernel_id": "32664697"}, {"ref": "aymenbelfekih/notebook3462327400", "kernel_id": "32609827"}, {"ref": "xiajiayu111/jpx-regression", "kernel_id": "32901674"}, {"ref": "achrafbenssassi/portfolio-optimization-using-efficient-frontier", "kernel_id": "33699701"}, {"ref": "sarahkhiracherni/train-demo", "kernel_id": "33691633"}, {"ref": "sarahkhiracherni/pi-corr", "kernel_id": "33123822"}, {"ref": "merrie/jpx-lgbm-baseline-with-grouptimeseriessplit", "kernel_id": "35097941"}, {"ref": "yongzhizhang/jpx-regression-cc104d", "kernel_id": "37898186"}, {"ref": "yolovo/0-119-jpx-lgbm-rolling-window-cv", "kernel_id": "37663141"}, {"ref": "antoinegoubert/ml-comp", "kernel_id": "38300431"}, {"ref": "oxygen1ium1/mlp-regressor", "kernel_id": "39259544"}, {"ref": "oxygen1ium1/boosting", "kernel_id": "39205179"}, {"ref": "yk4r22/basic-submission-demo-183a8b", "kernel_id": "41600929"}, {"ref": "ephraimsutherland/jpx-tokyo-stock-exchange", "kernel_id": "42233641"}, {"ref": "yangyunyu/jpx-stock-market-prediction-with-xgb", "kernel_id": "42024937"}, {"ref": "haroldmei/jpx-regression-0f7160", "kernel_id": "43350773"}, {"ref": "aaronwarsop2/jpx-stock-exchange", "kernel_id": "43156080"}, {"ref": "nomanalisoomro/lstm-prediction-with-ohlc", "kernel_id": "44868138"}, {"ref": "sarahyeboahm/stock-analysis-and-prediction", "kernel_id": "45443774"}, {"ref": "sergeantandy/lightgbm-ranker-introduction", "kernel_id": "46620210"}, {"ref": "soobeom5range/4th-place-model", "kernel_id": "46071337"}, {"ref": "namnguyen192/jpx-2nd-try", "kernel_id": "51607464"}, {"ref": "ealjamal/eecs-545-project", "kernel_id": "52303701"}, {"ref": "dsxavier/jpx-ranker-tokyo-stock-exchange-prediction", "kernel_id": "54965240"}, {"ref": "alexthequant/mix-alpha", "kernel_id": "54822377"}, {"ref": "alexthequant/garden-of-forking-paths", "kernel_id": "54886313"}, {"ref": "alexthequant/forest-tuning", "kernel_id": "54967743"}, {"ref": "pojuichen/notebookd847f09877", "kernel_id": "55978616"}, {"ref": "beiyue1/zzzzz", "kernel_id": "59039254"}, {"ref": "naoyainoue/notebooke4ff672022", "kernel_id": "60401222"}, {"ref": "bhatnagardaksh/statistical-modelling-using-arma-and-arima", "kernel_id": "62061064"}, {"ref": "yunsuxiaozi/jtsep-top2-solution-study", "kernel_id": "62560664"}, {"ref": "kennethcrussell/kcr-jpx-tokyo-v01", "kernel_id": "70295348"}, {"ref": "amannislam/lstm-predictions-part-1-closing-price", "kernel_id": "71798659"}, {"ref": "kuanfu2103024/jpx-neural-network-starter-keras", "kernel_id": "73275522"}, {"ref": "amirsdiri/notebook5c179ed8bb", "kernel_id": "73591743"}, {"ref": "wilsonteng123/113552019-113552024-113552025-113552026", "kernel_id": "73143573"}, {"ref": "narjeshammami/jpx-stock-analysis", "kernel_id": "73642520"}, {"ref": "ian028/term-project-lstm-028", "kernel_id": "73306125"}, {"ref": "jeffhsiao552029/forest-tuning", "kernel_id": "73477707"}, {"ref": "andycwliu/113552003-jpx", "kernel_id": "73304886"}, {"ref": "wayne113552001/ml-113552001-113552003-113552005-113552006", "kernel_id": "73275584"}, {"ref": "bryant2025/112552017-112552018-113552011-113552023", "kernel_id": "73238285"}, {"ref": "amirsdiri/my-version-notebook-tokyo-stock-exchange", "kernel_id": "74713847"}, {"ref": "amirsdiri/notebook5c179ed8bb-7f40fd", "kernel_id": "74234411"}, {"ref": "zaoualisirine/notebook5c179ed8bb", "kernel_id": "74174780"}, {"ref": "benbouyahiaayoub/notebook-tokyo-stock-exchange", "kernel_id": "74360400"}, {"ref": "cyrinecherif/jbx-pi-cy", "kernel_id": "74776408"}, {"ref": "artempowpow/multy-talib", "kernel_id": "83103342"}, {"ref": "laydavurall/tokyo-stock-exchange-prediction", "kernel_id": "84484266"}, {"ref": "xrcjosh777/lightgbm-ranker-introduction", "kernel_id": "87589160"}, {"ref": "matsu013/decision-tree-regressor-with-max-depth-control", "kernel_id": "87526012"}, {"ref": "matsu013/rank-1-submission-score-1500000", "kernel_id": "87520690"}, {"ref": "jacobchang1016/jpx-tokyo-stock-exchange-py3-7", "kernel_id": "104227854"}, {"ref": "codeislife/4th-place-model", "kernel_id": "105553300"}, {"ref": "codeislife/write-up", "kernel_id": "105553346"}, {"ref": "hanklee123/jpx-train", "kernel_id": "105047553"}, {"ref": "hanklee123/jpx-inference-submmit-with-v1", "kernel_id": "105137059"}, {"ref": "paul99liu/jpx-tokyo-stock-transformer", "kernel_id": "105844820"}, {"ref": "codeislife/easy-to-understand-the-competition", "kernel_id": "106312075"}, {"ref": "codeislife/1-jpx-comp-jan-2026", "kernel_id": "106312090"}, {"ref": "codeislife/2-jpx-comp-jan-2026", "kernel_id": "106324363"}, {"ref": "codeislife/jpx-stock-market-analysis-prediction-with-lgbm", "kernel_id": "106324401"}, {"ref": "codeislife/3-jpx-comp-jan-2026", "kernel_id": "106327982"}, {"ref": "codeislife/jpx-detailed-eda", "kernel_id": "106328082"}, {"ref": "codeislife/jpx-detailed-eda-91657c", "kernel_id": "106328610"}, {"ref": "codeislife/4-jpx-comp-jan-2026", "kernel_id": "106391448"}, {"ref": "caojie639/jpx-tokyo-lightgbm-linearregression-0-473", "kernel_id": "114379514"}, {"ref": "gabrielaaamartinez/claseretos", "kernel_id": "115772100"}, {"ref": "gabrielaaamartinez/con-datos-externos", "kernel_id": "116475340"}, {"ref": "pabloguarinlopez/claseretos", "kernel_id": "116474774"}, {"ref": "pabloguarinlopez/con-datos-externos", "kernel_id": "116553279"}, {"ref": "pushpamcve23b/jpx-stock-market-with-lgbm-cnn", "kernel_id": "119334141"}, {"ref": "pushpamcve23b/jpx-stock-market-analysis-lgbm-vs-cnn", "kernel_id": "119334407"}, {"ref": "xulinliao/jpx-stock", "kernel_id": "120276856"}, {"ref": "kingxeplep/eda-jpx-tokyo-stock", "kernel_id": "121106853"}, {"ref": "jernimopaiva/jpx-tokyo-stock-exchange-prediction", "kernel_id": "133842063"}, {"ref": "anonymousdns/abusing-leakages-for-fun", "kernel_id": "133891155"}, {"ref": "pushpamcve23b/fork-of-jpx-stock-market-analysis-lgbm-vs-cnn", "kernel_id": "134984935"}]}
{"competition_id": "34353", "kernels": []}
{"competition_id": "34355", "kernels": []}
{"competition_id": "34359", "kernels": []}
{"competition_id": "34360", "kernels": []}
{"competition_id": "34361", "kernels": []}
{"competition_id": "34363", "kernels": []}
{"competition_id": "34366", "kernels": []}
{"competition_id": "34370", "kernels": []}
{"competition_id": "34375", "kernels": [{"ref": "krishnakalyan3/sorghum-resnet-baseline", "kernel_id": "25474450"}, {"ref": "motloch/sorghum-pytorch-starter-inference", "kernel_id": "25443242"}, {"ref": "motloch/sorghum-pytorch-starter", "kernel_id": "25434109"}, {"ref": "ibombonato/vit-transformers-sorghum-100-starter-0-491", "kernel_id": "25434892"}, {"ref": "ibombonato/vit-transformers-inference-from-wandb-checkpoint", "kernel_id": "25673384"}, {"ref": "wakamori/sorghum-eda", "kernel_id": "25494616"}, {"ref": "ayuraj/images-to-tfrecord", "kernel_id": "25474989"}, {"ref": "pegasos/sorghum-pytorch-lightning-starter-training", "kernel_id": "25758588"}, {"ref": "tchaye59/efficientnet-tensorflow-baseline-tpu", "kernel_id": "25402289"}, {"ref": "tchaye59/images-to-jpeg-512x512", "kernel_id": "25408988"}, {"ref": "tchaye59/512x512-images-to-tfrecords", "kernel_id": "25406396"}, {"ref": "anirbansaha96/notebook93849e33a4", "kernel_id": "25617737"}, {"ref": "lonnieqin/sorghum-100-cultivar-identification-with-cnn", "kernel_id": "25391657"}, {"ref": "nayakroshan/swin-transformer-focal-loss-0-526", "kernel_id": "25771880"}, {"ref": "asheniranga/sorghum-training", "kernel_id": "25849661"}, {"ref": "hulkkk/mymodel-efnb3", "kernel_id": "25943246"}, {"ref": "meetnagadia/sorghum-100-cultivar-baseline", "kernel_id": "25400525"}, {"ref": "laurentpoyet/sorghum-100-preprocessing-and-training", "kernel_id": "25996096"}, {"ref": "karkisa/n1-start", "kernel_id": "25618752"}, {"ref": "myncoder0908/sorghum-fgvc9-transfer-learning-via-fine-tuning", "kernel_id": "25507910"}, {"ref": "waynewhying/sorghum-transferlearning-efficientnet", "kernel_id": "25847308"}, {"ref": "ivanmaksimov21/sorghum-challenge-final-project-ds", "kernel_id": "25677658"}, {"ref": "prashanthacsq/fgvc9-broken-images", "kernel_id": "25640448"}, {"ref": "prashanthacsq/fgvc9-statistics", "kernel_id": "25633690"}, {"ref": "bobfromjapan/simple-tensorflow-effnetv2-randaug-example", "kernel_id": "25720862"}, {"ref": "bobfromjapan/divide-image-into-16", "kernel_id": "25829869"}, {"ref": "bobfromjapan/sorghum-keras-dataloader-with-albumentation", "kernel_id": "25594164"}, {"ref": "jhoward/resize-images", "kernel_id": "26830261"}, {"ref": "yashvi/transfer-learning-using-jax-flax", "kernel_id": "26472758"}, {"ref": "pksx01/sorghum-keras-efficientnet", "kernel_id": "26692509"}, {"ref": "pksx01/sorghum-keras-efficientnetv2-inference", "kernel_id": "26709619"}, {"ref": "pksx01/sorghum-level-up-using-fastai", "kernel_id": "26436365"}, {"ref": "pksx01/sorghum-cultivar-prediction-baseline", "kernel_id": "26379121"}, {"ref": "girinchutia01/sorghum-100-training-pipeline", "kernel_id": "26028583"}, {"ref": "allanyiinai/sorghum-100-identification", "kernel_id": "26998817"}, {"ref": "asheniranga/256-256-sorghum-cultivar-pre-process-by-cropping", "kernel_id": "26573743"}, {"ref": "erdican/effnet-gpu", "kernel_id": "26214647"}, {"ref": "aquibalikhan/sorghum-100-cultivar-identification-eda", "kernel_id": "26060372"}, {"ref": "hngbiquc/sorghum-efficientnetv2-0-846-private-lb", "kernel_id": "26336766"}, {"ref": "arminatc/sorghum-fastai", "kernel_id": "26474727"}, {"ref": "laurentpoyet/sorghum-100-effnetb1", "kernel_id": "26214557"}, {"ref": "anandagdhi/sorghum100", "kernel_id": "26379599"}, {"ref": "aayushdeswal/95-sorghum-efficientnetb2-by-beginner", "kernel_id": "26531532"}, {"ref": "joonasyoon/sorghum-fgvc-9-model-trainer-from-scratch", "kernel_id": "26463837"}, {"ref": "joonasyoon/fine-grained-cultivar-classification", "kernel_id": "26727470"}, {"ref": "aleksandramilinovic/notebookddaccaf61c", "kernel_id": "26337803"}, {"ref": "noamleviavshalom/my-tesorflow-trials", "kernel_id": "26103013"}, {"ref": "noamleviavshalom/images-to-jpeg-512x512-taken-from-others", "kernel_id": "26060162"}, {"ref": "chub171/sorghum-100-cultivar-identification-9", "kernel_id": "26789233"}, {"ref": "leoooo333/lb-0-885-sorghum-higer-accuracy", "kernel_id": "26436118"}, {"ref": "leoooo333/sorghum-speed-up", "kernel_id": "26417686"}, {"ref": "bobfromjapan/efficientnetv2-randaug-tensorflow-tpu-0-6", "kernel_id": "26206300"}, {"ref": "tianzzhang/test-for-kaggle-0426", "kernel_id": "26576964"}, {"ref": "joaecjh/crops", "kernel_id": "26628990"}, {"ref": "tianzekaggle/kaggle-sorghum-net", "kernel_id": "26596817"}, {"ref": "quochungbui/sorghum-identification-12345", "kernel_id": "26998516"}, {"ref": "allanyiin/sorghum-100-identification", "kernel_id": "27822828"}, {"ref": "allanyiin/sorghum-100-identification-baseline", "kernel_id": "27787242"}, {"ref": "vladsmirno/predict-with-tta", "kernel_id": "27216127"}, {"ref": "aroonima12/eda-sorghum-image-classification", "kernel_id": "27121273"}, {"ref": "erdican/effnet-tpu-without-tfrecords", "kernel_id": "27224974"}, {"ref": "parkgyuhyeon/sorghum-efficientnetv3", "kernel_id": "27640394"}, {"ref": "parkgyuhyeon/sorghum-eda", "kernel_id": "27694101"}, {"ref": "parkgyuhyeon/ensemble-b4-b5-resnet", "kernel_id": "27867952"}, {"ref": "changnico/notebookbce1650859", "kernel_id": "27346148"}, {"ref": "allanyiin/sorghum-100-identification-revised2", "kernel_id": "28333798"}, {"ref": "lqdisme/sorghum-arcface-resnet50-ibna-1024x1024-fold-2", "kernel_id": "28364199"}, {"ref": "vvthai14/sorghum-topic", "kernel_id": "35542419"}, {"ref": "qwrdxer/fastai", "kernel_id": "42907327"}, {"ref": "koalaswelcome/sorghum-1", "kernel_id": "61428950"}, {"ref": "qwerrrf/ruan3-2024-11-18-2", "kernel_id": "70997378"}, {"ref": "stpeteishii/sorghum-cultivar-mobilenet-classifier-w-tpu", "kernel_id": "115952370"}]}
{"competition_id": "34377", "kernels": [{"ref": "ranjeetshrivastav/spaceship-titanic-eda-plotly-lgbm-pycaret", "kernel_id": "20782254"}, {"ref": "jacoporepossi/complete-tutorial-eda-with-altair", "kernel_id": "22466110"}, {"ref": "kalelpark/hey-kaggler-merry-christmas-see-christmas-tree", "kernel_id": "22993234"}, {"ref": "bcruise/spaceship-titanic-eda-starter", "kernel_id": "24952923"}, {"ref": "rishirajacharya/spaceship-titanic-detailed", "kernel_id": "24908644"}, {"ref": "usharengaraju/tensorflow-spaceship-neuraldecisionforests", "kernel_id": "24909909"}, {"ref": "cv13j0/spaceship-my-starter-model", "kernel_id": "24958774"}, {"ref": "currypurin/spaceship-titanic-pandas-profiling-eda", "kernel_id": "24923223"}, {"ref": "ttagu99/pycaret-automl-starter", "kernel_id": "24919661"}, {"ref": "nyk510/spaceship-titanic-vivid-starter-kit", "kernel_id": "24908583"}, {"ref": "kumarsrikant/spaceship-titanic-eda-pca-baseline-modeling", "kernel_id": "24930077"}, {"ref": "kaikarren/spaceship-titanic", "kernel_id": "24931709"}, {"ref": "alexteboul/space-titanic-eda-models", "kernel_id": "24910457"}, {"ref": "werooring/basic-and-useful-eda-for-beginner", "kernel_id": "24981944"}, {"ref": "gazu468/spaceship-titanic-eda-modeling-scv", "kernel_id": "24917250"}, {"ref": "abhinavkum/futuristic-titanic-eda", "kernel_id": "24927876"}, {"ref": "stpeteishii/spaceship-titanic-lgbm", "kernel_id": "24917986"}, {"ref": "mpwolke/space-oddity-by-spacewoman", "kernel_id": "24909375"}, {"ref": "mpwolke/go-for-launch-mi-attempt", "kernel_id": "24947593"}, {"ref": "mpwolke/petit-prince-titanic-spacetravel", "kernel_id": "24925446"}, {"ref": "mpwolke/travelling-with-umap-gpu", "kernel_id": "24954380"}, {"ref": "drcapa/spaceship-titanic-starter", "kernel_id": "24908342"}, {"ref": "ruchi798/spaceship-titanic-eda-pytorch-baseline-w-b", "kernel_id": "24908036"}, {"ref": "hasanbasriakcay/spaceship-t-pseudo-labels-blending-0-806-lb", "kernel_id": "24922426"}, {"ref": "hasanbasriakcay/spaceship-titanic-pycaret-model-comparisons", "kernel_id": "24919519"}, {"ref": "hasanbasriakcay/spaceship-titanic-eda-fe-baseline", "kernel_id": "24916700"}, {"ref": "kamaljp/mysterysolved-titanic", "kernel_id": "24978128"}, {"ref": "catadanna/nb-spaceshiptitanic", "kernel_id": "24973279"}, {"ref": "taranmarley/feature-engineering-eda-and-lightgbm", "kernel_id": "24937434"}, {"ref": "sytuannguyen/spaceship-titanic-with-random-forest", "kernel_id": "24947447"}, {"ref": "sytuannguyen/catboost-baseline", "kernel_id": "24945288"}, {"ref": "sytuannguyen/model-selection", "kernel_id": "24940617"}, {"ref": "sytuannguyen/spaceship-titanic-feature-engineering", "kernel_id": "24941930"}, {"ref": "sytuannguyen/detailed-eda-for-all-features-and-target", "kernel_id": "24931022"}, {"ref": "sytuannguyen/spaceship-titanic-boosting", "kernel_id": "24933232"}, {"ref": "sytuannguyen/spaceship-titanic-xgboost", "kernel_id": "24953745"}, {"ref": "sytuannguyen/light-gradient-boosting-machines", "kernel_id": "24953973"}, {"ref": "sytuannguyen/tune-lightgbm-model", "kernel_id": "24954088"}, {"ref": "kalilurrahman/flourish-brilliant-data-viz-tool", "kernel_id": "24978253"}, {"ref": "nourajo/unraveling-a-cosmic-mystery-eda-catboost", "kernel_id": "24960869"}, {"ref": "lonnieqin/spaceship-titanic-prediction-with-catboost", "kernel_id": "24916122"}, {"ref": "lonnieqin/spaceship-titanic-prediction-with-lgbm", "kernel_id": "24919244"}, {"ref": "bnsbb1999/catboost-optuna", "kernel_id": "24985755"}, {"ref": "ohseokkim/spaceship-sos-decision-is-always-difficult", "kernel_id": "24934972"}, {"ref": "tracyporter/spaceship-t", "kernel_id": "24985363"}, {"ref": "desalegngeb/spaceship-titanic-plotly-viz-fe-models", "kernel_id": "24909800"}, {"ref": "rudragujarathi/comp-spaceship-titanic", "kernel_id": "24916406"}, {"ref": "ashokkumargarain/notebook2a65682c79", "kernel_id": "24965044"}, {"ref": "mushfirat/spaceship-titanic-eda-model-comparison", "kernel_id": "24932022"}, {"ref": "edwintyh/spaceship-eda-for-features", "kernel_id": "24965836"}, {"ref": "edwintyh/spaceship-fe-pseudo-label-catboost", "kernel_id": "24958883"}, {"ref": "edwintyh/pycaret-spaceship-fe-catboost", "kernel_id": "24924127"}, {"ref": "cameron858/spaceship-titanic-various-models-fe-80", "kernel_id": "24932795"}, {"ref": "sabinaabdurakhmanova/spaceship-titanic-w-fastai", "kernel_id": "24920807"}, {"ref": "kimmik123/spaceship-titanic-xgboost-random-forest-79-5", "kernel_id": "24948086"}, {"ref": "pasuvulasaikiran/titanic-spaceship-catboost-basic", "kernel_id": "24959946"}, {"ref": "kartik2khandelwal/ensemble-model-xgboost-catboost-lgbm", "kernel_id": "24965823"}, {"ref": "jollychappies/spaceship-titanic", "kernel_id": "24974248"}, {"ref": "ahmedelamir/notebook71194388ec", "kernel_id": "24942620"}, {"ref": "meetnagadia/titanic-spaceship-eda-xgboost-0-75-score", "kernel_id": "24927515"}, {"ref": "odins0n/spaceship-titanic-eda-27-different-models", "kernel_id": "24909878"}, {"ref": "heyrobin/spaceship-titanic-a-cosmic-mystery", "kernel_id": "24938837"}, {"ref": "rhythmcam/automl-evalml-baseline-spaceship-titanic", "kernel_id": "24978810"}, {"ref": "rhythmcam/spaceship-titanic-mljar-prediction", "kernel_id": "24975645"}, {"ref": "rhythmcam/spaceship-titanic-autogluon-prediction", "kernel_id": "24977320"}, {"ref": "rhythmcam/spaceship-titanic-h2o-prediction", "kernel_id": "24976989"}, {"ref": "rhythmcam/find-outliers-using-pycaret-anomaly", "kernel_id": "24987531"}, {"ref": "leejunseok97/spaceship-titanic-simple-eda-prediction", "kernel_id": "24942845"}, {"ref": "opamusora/top-10-notebook", "kernel_id": "24947186"}, {"ref": "sayansh001/spaceship-titanic-eda-fe-80-accuracy", "kernel_id": "24936518"}, {"ref": "mostafaalaa123/how-terrifying-it-is-to-be-lost-in-space-ml-02", "kernel_id": "24968860"}, {"ref": "mostafaalaa123/how-terrifying-it-is-to-be-lost-in-space-eda-01", "kernel_id": "24946326"}, {"ref": "kuntalmaity/spaceship-titanic", "kernel_id": "24969041"}, {"ref": "dmitrylessy/spaceship-titanic-80-4-with-gradient-boosting", "kernel_id": "24931526"}, {"ref": "kalelpark/all-about-spaceship-titanic-solutions", "kernel_id": "24910409"}, {"ref": "max1mum/blasted-wormholes-detailed-eda-and-models", "kernel_id": "24911556"}, {"ref": "dylanyves/detailed-classification-notebook-spaceship", "kernel_id": "24938479"}, {"ref": "creare006/eda-with-the-library", "kernel_id": "24989159"}, {"ref": "jasoninzana/spaceship-titanic", "kernel_id": "24928398"}, {"ref": "danofer/spaceship-fe-catboost", "kernel_id": "25088187"}, {"ref": "crained/spaceship-titanic-pandas-profiling-eda", "kernel_id": "25869146"}, {"ref": "crained/spaceship-basic-model-data-walkthrough", "kernel_id": "25900465"}, {"ref": "crained/spaceship-model-stacking-and-gridsearch", "kernel_id": "25996991"}, {"ref": "thoolihan/explore-space-titanic", "kernel_id": "25952887"}, {"ref": "cv13j0/pycaret-model-selection-and-more", "kernel_id": "25166754"}, {"ref": "cv13j0/spaceship-titanic-gbt-model-neptune-ai", "kernel_id": "25740850"}, {"ref": "oysteijo/let-s-build-a-decision-tree-from-scratch", "kernel_id": "25837439"}, {"ref": "tnechleba/notebook25771e4cf8", "kernel_id": "25361159"}, {"ref": "aliphya/space-titanic-eda-baseline-model", "kernel_id": "25045419"}, {"ref": "fdalforno/first-analysis", "kernel_id": "25871414"}, {"ref": "shivamnegi1993/spaceship-titanic-xgboost-grid-search-shap", "kernel_id": "25222906"}, {"ref": "pranesh97/spaceship-titanic-shap-practice", "kernel_id": "25246168"}, {"ref": "pdenieves/feature-engineering-xgbclassifier", "kernel_id": "25912600"}, {"ref": "samu2505/intro-to-gradientboostingmachines", "kernel_id": "25896788"}, {"ref": "starholes/started-with-st", "kernel_id": "25843048"}, {"ref": "yasirarfat/binary-classification-with-neural-network", "kernel_id": "25556021"}, {"ref": "yasirarfat/spaceship-titanic-automl-lgbmclassifier", "kernel_id": "25204508"}, {"ref": "kogasaka19770904/kog-ana-20220329", "kernel_id": "25825292"}, {"ref": "a165079/titanic-spaceship", "kernel_id": "25083404"}, {"ref": "cheinting/space-titanic-emsembled", "kernel_id": "25193244"}, {"ref": "ted0071/spaceship-titanic-a-pipeline-approach", "kernel_id": "25302806"}, {"ref": "seraphwedd18/lgbm-model-spaceship-titanic-baseline", "kernel_id": "25194158"}, {"ref": "parisrohan/rp-space-titanic-1-dataprep-featureengg-xgb", "kernel_id": "25851154"}, {"ref": "dascient/who-s-transported-to-another-dimension", "kernel_id": "25838447"}, {"ref": "florentngt/my-spaceship-titanic-rfc-adaboost-models", "kernel_id": "25053046"}, {"ref": "cid007/spaceship-titanic", "kernel_id": "25897449"}, {"ref": "thrakrien/spaceship-titanic-ensemble-classifiers", "kernel_id": "25015595"}, {"ref": "shebiimalik/space-titanic-classification", "kernel_id": "25851908"}, {"ref": "naveenkonam1985/spaceship-titanic-passenger-transport-prediction", "kernel_id": "25633365"}, {"ref": "jagadeeshjr5/0-8050-accuracy-using-catboost-with-cv", "kernel_id": "25952614"}, {"ref": "sherifali/titanic", "kernel_id": "25731433"}, {"ref": "priyakmurthy/spaceship1", "kernel_id": "25977523"}, {"ref": "tea0925ds/1-ss-titanic", "kernel_id": "25994259"}, {"ref": "tea0925ds/answer-1-ss-titanic", "kernel_id": "25967470"}, {"ref": "antonkhnykin/simple-solution-with-accuracy-0-79798", "kernel_id": "25408714"}, {"ref": "vpallares/eda-with-a-socio-economic-study-of-passengers", "kernel_id": "25014341"}, {"ref": "paulojunqueira/spaceship-catboost-data-aug-shap", "kernel_id": "25178783"}, {"ref": "taranmarley/data-images-modded-shufflenet", "kernel_id": "25128901"}, {"ref": "jbomitchell/exponentially-weighted-ensemble-spaceship-titanic", "kernel_id": "25070833"}, {"ref": "arootda/pycaret-visualization-optimization-0-81", "kernel_id": "25134079"}, {"ref": "paulaehab/titanic-spaceship", "kernel_id": "25103836"}, {"ref": "amarloni/transporter", "kernel_id": "25787531"}, {"ref": "tomokikmogura/spaceship-titanic-eda-modeling", "kernel_id": "25062498"}, {"ref": "sawsanshakir/notebook-spaceship-titanic", "kernel_id": "25309708"}, {"ref": "danishfayaznajar/spaceship-titanic", "kernel_id": "25047135"}, {"ref": "atulak007/atul-spaceshiptitanic-ml-model", "kernel_id": "25853609"}, {"ref": "sanjaylalwani/spaceship-titanic-eda-ensemble-with-80-5", "kernel_id": "25296327"}, {"ref": "kalilurrahman/awesome-visualization-spaceship-titanic-data", "kernel_id": "25206075"}, {"ref": "shreydan/spaceship-titanic-basic-eda-multiple-models", "kernel_id": "25803373"}, {"ref": "travistyler/spaceship-titanic-eda", "kernel_id": "25844333"}, {"ref": "lonnieqin/spaceship-titanic-prediction-with-dnn", "kernel_id": "25072610"}, {"ref": "tannerkunz/simple-model", "kernel_id": "25084286"}, {"ref": "deepakkaura/spaceship-titanic-story-of-a-space-titanic", "kernel_id": "25541079"}, {"ref": "cicostos/spaceship-titanic", "kernel_id": "25141891"}, {"ref": "negoto/spaceship-titanic-random-forest-baseline-r", "kernel_id": "25170281"}, {"ref": "negoto/spaceship-titanic-logistic-regression-r", "kernel_id": "25159015"}, {"ref": "negoto/spaceship-titanic-accurate-glm-r", "kernel_id": "25459094"}, {"ref": "shamimahossain/tensorflow-decision-tree-baseline", "kernel_id": "25802032"}, {"ref": "manatoyaguchi/simple-eda-lgbm", "kernel_id": "25905952"}, {"ref": "teyosan1229/spaceship-titanic-my-lgbm-pipeline", "kernel_id": "25041760"}, {"ref": "teyosan1229/spaceship-titanic-my-tabnet-pipeline", "kernel_id": "25822065"}, {"ref": "teyosan1229/spaceship-titanic-xgb-lgb-cat", "kernel_id": "25796381"}, {"ref": "vyegyanathan/spaceship-titanic-eda-and-feature-engineering", "kernel_id": "25133059"}, {"ref": "arvinthsss/space-titanic-dive-deep-using-sql", "kernel_id": "25952244"}, {"ref": "minstones/space-ship-eda-randomforest-0-80336", "kernel_id": "25897781"}, {"ref": "sagnik1511/quick-decisions-space-titanic", "kernel_id": "25306765"}, {"ref": "kmbm0916/spaceship-titanic", "kernel_id": "25869307"}, {"ref": "sleetet/kim-young-jae-analyst", "kernel_id": "25915269"}, {"ref": "lordozvlad/spaceship-titanic-fast-kernel-using-sklearnex", "kernel_id": "25631173"}, {"ref": "tracyporter/spaceship-t-pytorch", "kernel_id": "25012623"}, {"ref": "tracyporter/spaceship-t-delete-columns", "kernel_id": "25007426"}, {"ref": "rudragujarathi/titanic-eda-prediction-using-pipelines", "kernel_id": "25059923"}, {"ref": "shivamshrivastava21/titanic-space-ship", "kernel_id": "25323587"}, {"ref": "luisramrez/eda-futuristic-titanic", "kernel_id": "25403005"}, {"ref": "sasakic/spaceship-titanic-kfold-lgbm", "kernel_id": "25889793"}, {"ref": "marianobasili/spaceship-titanic-eda-classification", "kernel_id": "25039143"}, {"ref": "rocklen/spaceship-titanic-0-79284", "kernel_id": "25109603"}, {"ref": "rocklen/spaceship-titanic-2-0-80079", "kernel_id": "25296675"}, {"ref": "hemangl/notebookeed5ce3afc", "kernel_id": "25008535"}, {"ref": "mst8823/baseline-utils-fe-models", "kernel_id": "25197368"}, {"ref": "ahmadhumayun/eda-func", "kernel_id": "25250927"}, {"ref": "ahmadhumayun/feature-engineering", "kernel_id": "25251395"}, {"ref": "ahmadhumayun/feature-engineering-func", "kernel_id": "25277241"}, {"ref": "ahmadhumayun/null-func", "kernel_id": "25205582"}, {"ref": "ahmadhumayun/space-titanic-eda", "kernel_id": "25201498"}, {"ref": "ahmadhumayun/spaceship-titanic-null-values", "kernel_id": "25064740"}, {"ref": "vladimirabramov/simple-space-titanic-prediction-with-0-80874-score", "kernel_id": "25237088"}, {"ref": "adamml/my-spaceship-titanic-80-5", "kernel_id": "25039989"}, {"ref": "kartushovdanil/mlops-how-to-be-rock-of-ml", "kernel_id": "25803398"}, {"ref": "kartushovdanil/advanced-analysis-to-infinity-and-beyond", "kernel_id": "25686673"}, {"ref": "mohammadahmar/spaceship-titanic", "kernel_id": "25316113"}, {"ref": "anandaramg/spaceship-titanic-eda-keras", "kernel_id": "25870837"}, {"ref": "rachidrahal/spaceship-randomforestclassifier-and-lgbm", "kernel_id": "25005087"}, {"ref": "ededhiscalifh/space-titanic-prediction", "kernel_id": "25914978"}, {"ref": "pasuvulasaikiran/titanic-spaceship-catboost-optuna", "kernel_id": "25003557"}, {"ref": "atasaygin/spaceship-titanic-eda-and-stacked-model-top-10", "kernel_id": "25837842"}, {"ref": "bhavyajoshi02022000/spaceship-titanic", "kernel_id": "25434190"}, {"ref": "sardorabdirayimov/awesome-nn-titanic-disaster", "kernel_id": "25626419"}, {"ref": "sardorabdirayimov/best-way-of-dealing-with-missing-values-titanic-2", "kernel_id": "25305340"}, {"ref": "meetnagadia/titanic-random-forest-score-0-79471", "kernel_id": "25150673"}, {"ref": "bigourauxquentin/space-titanic", "kernel_id": "25900936"}, {"ref": "snikhil17/titanic-eda-in-2912", "kernel_id": "25856724"}, {"ref": "snikhil17/hypertuning-optuna-9-models-100-trials-5folds", "kernel_id": "25914900"}, {"ref": "une510/spaceship-competition-xgboost-optuna", "kernel_id": "25144387"}, {"ref": "ajayuser/spaceship-titanic-passenger-transport-prediction", "kernel_id": "25861436"}, {"ref": "soumya666/spaceship", "kernel_id": "25881240"}, {"ref": "leonardoberlatto/eda-decision-tree-optuna", "kernel_id": "25394044"}, {"ref": "osamarf/spaceship-titanic-eda-ml-tutorial-for-beginners", "kernel_id": "25837257"}, {"ref": "hkhiroshima/space-titanic-eda-light-gbm", "kernel_id": "25898294"}, {"ref": "dj67rockers/spaceship-81-accuracy", "kernel_id": "25878861"}, {"ref": "satoshiss/spaceship-titanic-data-cleaning-eda", "kernel_id": "25261471"}, {"ref": "rhythmcam/feature-importance-top-n", "kernel_id": "25758577"}, {"ref": "rhythmcam/keras-tuner-spaceship-titanic", "kernel_id": "25210749"}, {"ref": "rhythmcam/spaceship-titanic-pycaret-lightgbm", "kernel_id": "25184832"}, {"ref": "rhythmcam/keras-ann-spaceship-titanic", "kernel_id": "25256112"}, {"ref": "rhythmcam/pandas-basic-numeric-value-binning-cut-qcut", "kernel_id": "25042445"}, {"ref": "rhythmcam/autolgbm-spaceship-titanic-prediction", "kernel_id": "25036764"}, {"ref": "rhythmcam/spaceship-titanic-pycaret-0-79798", "kernel_id": "25008272"}, {"ref": "rhythmcam/classification-with-lightning-flash", "kernel_id": "25134956"}, {"ref": "rhythmcam/spaceship-titanic-catboost-oof", "kernel_id": "25116561"}, {"ref": "rhythmcam/spaceship-titanic-lightautoml", "kernel_id": "25118426"}, {"ref": "rhythmcam/keras-randomforestmodel-spaceship-titanic", "kernel_id": "25313850"}, {"ref": "rhythmcam/function-auto-split-feature-util", "kernel_id": "25503266"}, {"ref": "rhythmcam/using-autosplitfeatureutil", "kernel_id": "25506173"}, {"ref": "rhythmcam/spaceship-autogluon-timelimit", "kernel_id": "25530945"}, {"ref": "ruairiodriscoll/space-titanic-xgboost", "kernel_id": "25936481"}, {"ref": "rajeevnair676/the-mystery-of-space-titanic", "kernel_id": "25044027"}, {"ref": "ashwinshetgaonkar/spaceship-titanic-the-mystery", "kernel_id": "25944079"}, {"ref": "rizkykiky/imputing-missing-values-by-group-custom-thresh", "kernel_id": "25844348"}, {"ref": "rizkykiky/fork-of-exponentially-weighted-ensemble-spaceship", "kernel_id": "25843451"}, {"ref": "rizkykiky/lgbm-with-features-after-pca", "kernel_id": "25497358"}, {"ref": "sourabh2001/spaceship-titanic-competition-with-77-accuracy", "kernel_id": "25862968"}, {"ref": "karlpetz/space-titanic-model-catboost", "kernel_id": "25261390"}, {"ref": "akritisood175/spaceship-titanic", "kernel_id": "25903730"}, {"ref": "hihara0921/spaceship-titanic-eda-notebook", "kernel_id": "25428007"}, {"ref": "piyushmaha/space-titanic-eda-and-filling-nan-values", "kernel_id": "25033675"}, {"ref": "himanshusirsat/ml-spaceship-titanic", "kernel_id": "25089359"}, {"ref": "aayushdeswal/new-spaceship-titanic-nn", "kernel_id": "25363148"}, {"ref": "leesm97/spaceship-titanic-eda-and-modelings-with-python", "kernel_id": "25131933"}, {"ref": "dkurbatovv/pycaret", "kernel_id": "25631070"}, {"ref": "sharafmukhtar/spaceship-titanic-ds-solutions", "kernel_id": "25825211"}, {"ref": "nichodemusamollo/spaceshipamollo", "kernel_id": "25970679"}, {"ref": "dmitrylessy/spaceship-titanic-eda-fe-xgboost", "kernel_id": "25065494"}, {"ref": "arnavr10880/spaceshiptitanic-eda-fe-optimization", "kernel_id": "25667283"}, {"ref": "mizette/4-models-cv-score-0-79354", "kernel_id": "25190961"}, {"ref": "duylecong/spaceship-titanic-competition-accuracy-0-78936", "kernel_id": "25510395"}, {"ref": "devangvinci/spacetitanic-preds-full-pipeline-sklearn", "kernel_id": "25441600"}, {"ref": "mohammedbadway/acc-78-8", "kernel_id": "25763569"}, {"ref": "brunohuart/titanic-spaceship-fast-classification-beginners", "kernel_id": "25824235"}, {"ref": "andreal314159/spaceship-titanic-eda", "kernel_id": "25146939"}, {"ref": "johnericbonilla/notebook6529315e26", "kernel_id": "25910445"}, {"ref": "wasdac/space-titanic", "kernel_id": "25124007"}, {"ref": "sushrittt/spaceship-titanic", "kernel_id": "25347650"}, {"ref": "ibrahimaryan/notebooke1a8778214", "kernel_id": "25484553"}, {"ref": "andyphua/space-titanic-feature-engineering-xgboost", "kernel_id": "25140619"}, {"ref": "olcayhankorkut/space-titanic", "kernel_id": "25991879"}, {"ref": "greshmapk/titanic-spaceship", "kernel_id": "25648816"}, {"ref": "parvathicg/spaceship-titanic-classification", "kernel_id": "25251874"}, {"ref": "lovroselic/spaceshiptitanic-ls", "kernel_id": "25853190"}, {"ref": "samuelcortinhas/spaceship-titanic-a-complete-guide", "kernel_id": "25904913"}, {"ref": "rohandekate13/rohan-s-predictions-spaceship-titanic", "kernel_id": "25824352"}, {"ref": "rab5786/spaceship-titanic-prediction", "kernel_id": "25965725"}, {"ref": "abhinandanreddy/spaceship-titanic-let-s-begin-ann", "kernel_id": "25974425"}, {"ref": "abhinandanreddy/spaceship-titanic-let-s-begin", "kernel_id": "25953226"}, {"ref": "demko1/titanic-spaceship-competition-xgb-baseline", "kernel_id": "25866353"}, {"ref": "kazushiadachi/space-titanic-for-kaggle-beginner-0-76-score", "kernel_id": "25418612"}, {"ref": "bhavishs28/spaceship-titanic", "kernel_id": "25245989"}, {"ref": "husnakhan/spaceship-eda-catboost", "kernel_id": "25202858"}, {"ref": "husnakhan/spaceship-titanic-pycaret-eda", "kernel_id": "25646487"}, {"ref": "naoshigedoi/spaceship-titanic", "kernel_id": "25885309"}, {"ref": "ahmedameenhassan/spaceship-titanic-classification", "kernel_id": "25202884"}, {"ref": "aekanshg96/spaceship-who-else-got-transported-ipynb", "kernel_id": "25803455"}, {"ref": "ahmadalkhateeb123/space-titanic-0-79354-top-20", "kernel_id": "25830787"}, {"ref": "honghongchen/spaceship-classification-model-selection", "kernel_id": "25155151"}, {"ref": "rajnishkumar546/spaceship", "kernel_id": "25868994"}, {"ref": "preethamganiga/spaceship-titanic", "kernel_id": "25245990"}, {"ref": "smakoto/spaceship-titanic-autogluon", "kernel_id": "25033073"}, {"ref": "jaehob/r-spacetitanic-xgboost-prediction", "kernel_id": "25307349"}, {"ref": "jaehob/space-titanic-randomforest-prediction-r", "kernel_id": "25300358"}, {"ref": "dineshkumar1993/spaceship-prediction", "kernel_id": "25967856"}, {"ref": "kattat/spaceship-titanic-to-be-improved", "kernel_id": "25857275"}, {"ref": "nikolayirov/notebook0b6dff5810", "kernel_id": "25271221"}, {"ref": "gabrieldu69/spaceship-complete-visuals-and-ml", "kernel_id": "25323684"}, {"ref": "lszlbebesi/space-titanic-with-gradient-booting", "kernel_id": "25103488"}, {"ref": "yiukitcheung/spaceship-titanic-r-0-804-accuracy", "kernel_id": "25510708"}, {"ref": "javigallego/titanic-spaceship-eda", "kernel_id": "25328150"}, {"ref": "joshhaber/spaceship-titanic-eda-fe-pipeline", "kernel_id": "25940452"}, {"ref": "joshhaber/spaceship-titanic-intermediate-mltechniques", "kernel_id": "25806604"}, {"ref": "sharonli68/space-titanic-randomforestclassifier-0-793", "kernel_id": "25643696"}, {"ref": "yukiyokochi/spaceship-titanic", "kernel_id": "25296419"}, {"ref": "yukiyokochi/spaceship-titanic-lazyclassifier", "kernel_id": "25872477"}, {"ref": "huntertiner/spaceshiptitanic-eda-catboost", "kernel_id": "25214861"}, {"ref": "oguztizlak/spaceship-titanic-xgb-knn-log-na-vebayes-decisiont", "kernel_id": "25237495"}, {"ref": "arps001/spaceshiptitanic-arpi", "kernel_id": "25050112"}, {"ref": "solomonteng/art-of-ensemblee-and-shadow-neural-network", "kernel_id": "25438960"}, {"ref": "solomonteng/0-80547-artofensemble2", "kernel_id": "25845955"}, {"ref": "bidemiayinde/spaceship-titanic-classification-model", "kernel_id": "25422239"}, {"ref": "avishekgurung/spaceship-practice", "kernel_id": "25311883"}, {"ref": "libowenustb/lgbm-5kf", "kernel_id": "25493669"}, {"ref": "yuknodadada/random-forest-space-titanic", "kernel_id": "25855231"}, {"ref": "kmk3593/test2", "kernel_id": "25915272"}, {"ref": "aishasana/spaceship-titanic", "kernel_id": "25853319"}, {"ref": "sirin1234/spaceship-titanic", "kernel_id": "25915263"}, {"ref": "seulki1005/spaceship-newbies", "kernel_id": "25915264"}, {"ref": "rlalastjd782/titanic-01", "kernel_id": "25915276"}, {"ref": "jeha100/title", "kernel_id": "25915270"}, {"ref": "jeha100/spaceship-titanic-eda-27-different-models", "kernel_id": "25916408"}, {"ref": "jeha100/spaceship-exam-01", "kernel_id": "25920046"}, {"ref": "jeha100/spaceship-titanic-hje", "kernel_id": "25989484"}, {"ref": "jeha100/spaceship-titanic", "kernel_id": "25991297"}, {"ref": "jiwonkng/spaceship-titanic-eda-preprocessing-modeling", "kernel_id": "25915278"}, {"ref": "seungeun5/20220412-ai-project", "kernel_id": "25949443"}, {"ref": "wintersadh/spaceshiptitanic-test-02", "kernel_id": "25920263"}, {"ref": "griotold/20220412-ai-project-starship", "kernel_id": "25915266"}, {"ref": "theminted/spaceship-titanic-2-frediy", "kernel_id": "26462063"}, {"ref": "meicher/spaceship-eda", "kernel_id": "26223664"}, {"ref": "aerdem4/spaceship-titanic-lofo-feature-importance", "kernel_id": "26611236"}, {"ref": "thoolihan/explore-space-titanic-families", "kernel_id": "26130490"}, {"ref": "cv13j0/spaceship-titanic-practicing-eda-skills", "kernel_id": "26319809"}, {"ref": "charlottetu/spaceship-titantic-exploratory-data-analysis-r", "kernel_id": "26661370"}, {"ref": "fdalforno/eda-analysis", "kernel_id": "26427087"}, {"ref": "hobbsaustin/space-titanic", "kernel_id": "26713885"}, {"ref": "ajeeto/simple-random-forest-lb-score-80256", "kernel_id": "26135729"}, {"ref": "arshadgeek/spaceshiptitanic-first-kaggle-79", "kernel_id": "26131752"}, {"ref": "shashwatwork/star-trek-autogluon", "kernel_id": "26025366"}, {"ref": "shivamsri7/spaceship-titanic-eda-feature-engg-boosting", "kernel_id": "26017651"}, {"ref": "harsh03/notebook2b4dbd4724", "kernel_id": "26284033"}, {"ref": "yakinoki/spaceship-titanic", "kernel_id": "26935859"}, {"ref": "carlkirstein/space-titanic-eda-and-models-80-5", "kernel_id": "26423297"}, {"ref": "marcozzxx810/spaceship-titanic-knn-rf-example", "kernel_id": "26425223"}, {"ref": "josephelgemayel/spaceship-titanic-fillna", "kernel_id": "26790338"}, {"ref": "gregormac/spaceship-titanic-eda-data-cleaning-and-modeling", "kernel_id": "26947898"}, {"ref": "aniket1993/titanic-spaceship-ml-workflow-detailed-eda", "kernel_id": "26862315"}, {"ref": "rinichristy/spaceship-titanic-passenger-destiny-prediction", "kernel_id": "26889927"}, {"ref": "hamzaghanmi/let-s-use-keras-tensorflow", "kernel_id": "26187708"}, {"ref": "tea0925ds/experiment-3", "kernel_id": "26971282"}, {"ref": "tea0925ds/3-ss-titanic", "kernel_id": "26414697"}, {"ref": "tea0925ds/3-ss-titanic-taka", "kernel_id": "26387355"}, {"ref": "tea0925ds/answer-3-ss-titanic", "kernel_id": "26232876"}, {"ref": "tea0925ds/2-ss-titanic", "kernel_id": "26231456"}, {"ref": "tea0925ds/answer-2-ss-titanic", "kernel_id": "26170520"}, {"ref": "shagkala/intuitive-trick-to-find-important-features", "kernel_id": "26742438"}, {"ref": "vicsonsam/sst-eda-17-models-dl-top-7", "kernel_id": "26565881"}, {"ref": "taranmarley/automl-from-scratch-9", "kernel_id": "26065052"}, {"ref": "muhtasirimran/fork-of-spaceship-titanic-01", "kernel_id": "26938217"}, {"ref": "takemi/first-submit-220418", "kernel_id": "26359149"}, {"ref": "takemi/second-submit-220502", "kernel_id": "26411504"}, {"ref": "pierrejeanne/eda-feature-extraction-and-ml-classifier", "kernel_id": "26703892"}, {"ref": "mehrariqbal/spaceship-titanic", "kernel_id": "26307700"}, {"ref": "naveenchakravarthy/spaceship-titanic", "kernel_id": "26993894"}, {"ref": "towhidultonmoy/spaceship-titanic-eda-autoviz", "kernel_id": "26135705"}, {"ref": "georgyzubkov/spaceship-eda-catboost-with-optuna", "kernel_id": "26097960"}, {"ref": "gavisr/titanic-spaceship-flaml-automl", "kernel_id": "26668623"}, {"ref": "utcarshagrawal/spacehip-titanic-complete-data-understanding-ml", "kernel_id": "26399259"}, {"ref": "anitharajamani/spaceship-titanic-using-auto-ml-h20", "kernel_id": "26493028"}, {"ref": "marioshadjiantonis/spaceship-titanic", "kernel_id": "26034266"}, {"ref": "hgyoon/spaceship-titanic-eda-scratch-note-korean", "kernel_id": "26743452"}, {"ref": "thiagoramos20042/spaceship-titanic-eda-modeling", "kernel_id": "26349401"}, {"ref": "foolishboi/eda-libraries-they-existed", "kernel_id": "26773374"}, {"ref": "ivjyotsingh/spaceship-titanic", "kernel_id": "26182654"}, {"ref": "ryotamoriguchi/spaceship-titanic-modeling", "kernel_id": "26409584"}, {"ref": "sujayputtu/spaceship-titanic", "kernel_id": "26289372"}, {"ref": "mahmoudhosny/sapceship-titanic-accuracy-80", "kernel_id": "26230158"}, {"ref": "flaviocavalcante/spaceship-predict-voting-classifier", "kernel_id": "26186465"}, {"ref": "pythonkumar/acc-79-random-forest", "kernel_id": "26348630"}, {"ref": "christopherthomias/eda-spaceship-titanic", "kernel_id": "26108569"}, {"ref": "paarthbhatnagar/spaceship-titanic", "kernel_id": "26213488"}, {"ref": "chingiznurzhanov/spaceship-dataframemapper-feature-importance", "kernel_id": "26748383"}, {"ref": "dmitryuarov/spaceship-advanced-eda-lgbm-cb-xgb", "kernel_id": "26975278"}, {"ref": "ritzig/eda-using-seaborn-missing-value-feature-selection", "kernel_id": "26529524"}, {"ref": "jvthunder/space-titanic-simple-baseline-for-starters", "kernel_id": "26692280"}, {"ref": "willwillli/google-colab-eda-lightgbm-gpu-train-optuna-tuning", "kernel_id": "26083705"}, {"ref": "alehandro35/lgbm-with-small-eda", "kernel_id": "26372932"}, {"ref": "aminahnurrahmawati/titanic-spaceship-prediction", "kernel_id": "26980152"}, {"ref": "shantanu2218/spaceship-titanic-eda-and-modeling", "kernel_id": "26263915"}, {"ref": "nicklitwinow/spaceship-titanic-max-accuracy-0-80102", "kernel_id": "26615807"}, {"ref": "linbigrain/spaceship-titanic-deeplearning-approach", "kernel_id": "26215447"}, {"ref": "denishotsuliak/randomforest-model-with-simple-eda", "kernel_id": "26399604"}, {"ref": "blake101/spaceship-titanic-accuracy-0-8043", "kernel_id": "26907130"}, {"ref": "mohamedaminesaid/spaceship-titanic-guide-to-the-best-ranks", "kernel_id": "26044504"}, {"ref": "mohamedaminesaid/guide-to-top-ranks-features-eng-imputer-modeling", "kernel_id": "26056311"}, {"ref": "alexrohl2/spaceship-titanic-explore", "kernel_id": "26221036"}, {"ref": "uditkumarjain/most-detailed-spaceship-eda-logistic", "kernel_id": "26761130"}, {"ref": "logicalbin123/spaceship-titanic", "kernel_id": "26113386"}, {"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "wesleysilvaalves/spaceship-titanic", "kernel_id": "26778077"}, {"ref": "rhythmcam/spaceship-titanic-autopreprocess-minmaxscaler", "kernel_id": "26612902"}, {"ref": "rhythmcam/spaceship-catboost-autopreprocess-oof", "kernel_id": "26693227"}, {"ref": "rhythmcam/spaceship-titanic-target-encoding", "kernel_id": "26740331"}, {"ref": "rhythmcam/spaceship-titanic-lightgbm-rcv", "kernel_id": "26717283"}, {"ref": "rhythmcam/spaceship-titanic-feature-importance", "kernel_id": "26708206"}, {"ref": "rhythmcam/spaceship-titanic-lightautoml-prediction", "kernel_id": "26867677"}, {"ref": "rhythmcam/spaceship-titanic-pipeline", "kernel_id": "26859505"}, {"ref": "rhythmcam/supership-titanic-h2o-seed-ensemble", "kernel_id": "26813726"}, {"ref": "rhythmcam/lightning-flash-tabularclassifier-spaceship", "kernel_id": "26519605"}, {"ref": "rhythmcam/space-titanic-label-encoding", "kernel_id": "26491085"}, {"ref": "rhythmcam/space-catboost-rcv", "kernel_id": "26570498"}, {"ref": "rhythmcam/pandas-basic-true-false-type-null-process", "kernel_id": "26571444"}, {"ref": "rhythmcam/spaceship-titanic-autopreprocess", "kernel_id": "26571968"}, {"ref": "onedatareader/spaceship-titanic", "kernel_id": "26055979"}, {"ref": "osoomin/1913397", "kernel_id": "26811822"}, {"ref": "danushkumarv/spaceship-titanic-autodl-xgboost", "kernel_id": "26255129"}, {"ref": "cavfiumella/spaceship-titanic-data-cleaning", "kernel_id": "26126599"}, {"ref": "rizkykiky/lb-probing-1-11-1", "kernel_id": "26416813"}, {"ref": "shivamjindal07/using-different-techniques", "kernel_id": "26263153"}, {"ref": "akritisood175/spaceship-titanic-random-forest", "kernel_id": "26384613"}, {"ref": "abhirupghosh184098/deep-learning-on-the-titanic", "kernel_id": "26052161"}, {"ref": "haddonalexander25/space-titanic-with-decision-tree", "kernel_id": "26162538"}, {"ref": "jackmatin/space", "kernel_id": "26868468"}, {"ref": "minhajulhoque/ensemble-xgboost-for-spaceship-titanic-with-80-4", "kernel_id": "26490474"}, {"ref": "arujmahajan/random-forest-classifier-spaceship-titanic-aruj", "kernel_id": "26494002"}, {"ref": "yinsky/svm-for-titanic", "kernel_id": "26469150"}, {"ref": "puurun/spacetitanic", "kernel_id": "26742971"}, {"ref": "sharafmukhtar/spaceship-titanic-science-solutions", "kernel_id": "26184433"}, {"ref": "walz194/spaceship-titanic-eda", "kernel_id": "26847795"}, {"ref": "ravi20076/sptitanic-bootstrapensemble-pipeline", "kernel_id": "26707192"}, {"ref": "arnavr10880/tensorflow-spaceship-titanic-with-keras", "kernel_id": "26437755"}, {"ref": "yopecheprune/spaceship-titanic-cleaning-example", "kernel_id": "26461605"}, {"ref": "thinhtoohan/spaceship-titanic", "kernel_id": "26767667"}, {"ref": "tharun369/spaceship-titanic", "kernel_id": "26262246"}, {"ref": "zhounn/knn-svm-submission", "kernel_id": "26366517"}, {"ref": "sarvarxasanov/spaceship-prediction", "kernel_id": "26681139"}, {"ref": "abhinandanreddy/spaceship-titanic-let-s-begin-catboost", "kernel_id": "26023782"}, {"ref": "suprithahalesh/spaceship-titanic", "kernel_id": "26213499"}, {"ref": "zech555/spaceship-titanic-competition", "kernel_id": "26566499"}, {"ref": "kantipudisupriya/titanic", "kernel_id": "26500267"}, {"ref": "omarmohamedyehia/spaceship-titanic-prediction", "kernel_id": "26888495"}, {"ref": "gritchinavm542/titanic-code", "kernel_id": "26107353"}, {"ref": "mustafakeser4/tf-keras-kfold-cv-rf-xgb-etc-blend", "kernel_id": "26085621"}, {"ref": "harshghadiya/spaceship-decision-tree-with-eda", "kernel_id": "26608465"}, {"ref": "kumarharsh24/spaceship-titanic-using-bins", "kernel_id": "26255436"}, {"ref": "kumarharsh24/spaceship-titanic-randomforest-r", "kernel_id": "26302927"}, {"ref": "jorgeromn/spaceship-titanic-with-random-forest", "kernel_id": "26550796"}, {"ref": "lorraine2008/notebook8764d23c4e", "kernel_id": "26100368"}, {"ref": "tanvirarifsiddiqui/first-ml-modeling-with-titanic-spaceship", "kernel_id": "26804232"}, {"ref": "masatoshikato/spaceshiptitanic-my-solution-xgboost-lightgbm", "kernel_id": "26579163"}, {"ref": "abdalrahmanshahrour/spaceship-titanic-flaml", "kernel_id": "26497100"}, {"ref": "abdalrahmanshahrour/random-forest-classifier-spaceship-titanic", "kernel_id": "26449703"}, {"ref": "thomasnatanael/spaceship-titanic-modelagem-em-pt-br", "kernel_id": "26725329"}, {"ref": "aureliencd/ocr-projet-8-iml-acdcjim", "kernel_id": "26800946"}, {"ref": "paulinakk/titanic-spaceship-sklearn", "kernel_id": "26940633"}, {"ref": "abhishek123maurya/spaceship-titanic", "kernel_id": "26200090"}, {"ref": "loheumel/notebook0a9c764058", "kernel_id": "26024396"}, {"ref": "ransonflorian/notebook7534f68de5", "kernel_id": "26025957"}, {"ref": "anthonyleclercq/notebookd45f4dd482", "kernel_id": "26024354"}, {"ref": "avicouz/tp-deep-learning", "kernel_id": "26619479"}, {"ref": "pavankumar20/filling-nan-feature-eng-xgboost", "kernel_id": "26674755"}, {"ref": "javigallego/space-titanic-exhaustive-eda-fe-optuna", "kernel_id": "26265072"}, {"ref": "amirhosainmahdiani/spaceship-titanic-prediction", "kernel_id": "26054952"}, {"ref": "f47p2971215073/notebooke8d4ec2f35", "kernel_id": "26614350"}, {"ref": "pushpakjain/linear-regression-on-spaceship-dataset", "kernel_id": "26818161"}, {"ref": "cosiko/remise-challenge-spacetitanic", "kernel_id": "26293919"}, {"ref": "pierredstm/mljar-automl-spaceshiptitanic", "kernel_id": "26046739"}, {"ref": "ryderselikow/notebook1195133633", "kernel_id": "26775103"}, {"ref": "bradhammond/spaceship-notebook", "kernel_id": "26346769"}, {"ref": "rlalastjd782/spaceship-titanic-02", "kernel_id": "26010328"}, {"ref": "rlalastjd782/spaceship-titanic-st1", "kernel_id": "26098927"}, {"ref": "jeha100/spaceship-titanic-04", "kernel_id": "26098112"}, {"ref": "cyriljaudet/acdimcj", "kernel_id": "26787197"}, {"ref": "shilongzhuang/space-titanic-a-beginner-guide-80-24-acc", "kernel_id": "26527147"}, {"ref": "asyadayo/notebook22060e63c2", "kernel_id": "26049265"}, {"ref": "dkarcehu/spaceship-titanic-v0-0-1-randomforest", "kernel_id": "26325011"}, {"ref": "kaiyuanma/notebookd6b836706e", "kernel_id": "26681800"}, {"ref": "junedism/spaceship-titanic-exploratory-data-analysis", "kernel_id": "26537607"}, {"ref": "raihansoniwala/easiest-spaceship-titanic-xgbosst-80-eda-expla", "kernel_id": "26971982"}, {"ref": "juliabondarenko/notebookf4b2ed85d4", "kernel_id": "26575374"}, {"ref": "zhanglongisme/unsupervised-learning-ensembled-ld-score-0-864", "kernel_id": "26531828"}, {"ref": "zhanglongisme/titanic-with-cabin-data-recovery-0-808", "kernel_id": "26791871"}, {"ref": "jeremywalz/notebook8c794fd602", "kernel_id": "26780739"}, {"ref": "sergeibykov/space-titanic", "kernel_id": "26823678"}, {"ref": "programmerrdai/spaceship-titanic-sklearn", "kernel_id": "26968749"}, {"ref": "crayola/spaceship-titanic-boruta-demo", "kernel_id": "27076866"}, {"ref": "silverfoxdss/full-eda-report-in-less-than-30-seconds", "kernel_id": "27861576"}, {"ref": "dwin183287/how-to-experiment-tracking-with-truefoundry", "kernel_id": "27807504"}, {"ref": "jamesmcguigan/spaceship-titanic-xgboost", "kernel_id": "27336522"}, {"ref": "jamesmcguigan/spaceship-titanic-profilereport-autoeda", "kernel_id": "27302852"}, {"ref": "jamesmcguigan/spaceship-titanic-dataprep-autoeda", "kernel_id": "27752467"}, {"ref": "thoolihan/r-user-group", "kernel_id": "27372712"}, {"ref": "cv13j0/spaceship-titanic-nn-model-feature-eng", "kernel_id": "27179100"}, {"ref": "disham993/tfdf-and-eda-on-spaceship-titanic-dataset", "kernel_id": "27227466"}, {"ref": "rohannanaware/xgboost-eda-ggplot-mini-guide", "kernel_id": "27419558"}, {"ref": "defcodeking/spaceship-titanic-exploratory-data-analysis", "kernel_id": "27478858"}, {"ref": "defcodeking/spaceship-titanic-feature-engineering-baseline", "kernel_id": "27628759"}, {"ref": "defcodeking/ensembling-and-optuna-is-all-you-need", "kernel_id": "27305448"}, {"ref": "defcodeking/tabnet-a-neural-network-for-tabular-data", "kernel_id": "27859850"}, {"ref": "karthikreddy009/spaceship-ku", "kernel_id": "27527569"}, {"ref": "nitibbgg/simple-spaceship-titanic-classification-79", "kernel_id": "27217492"}, {"ref": "leodaniel/build-your-own-random-forest", "kernel_id": "27630234"}, {"ref": "thieuma06/spaceship-titanic-xgboost", "kernel_id": "27913044"}, {"ref": "sanbornlfk/guoshanqin", "kernel_id": "27997659"}, {"ref": "mmellinger66/spaceship-titanic-xgboost-optuna", "kernel_id": "27606476"}, {"ref": "mmellinger66/spaceship-titanic-eda-xgboost", "kernel_id": "27942341"}, {"ref": "pksx01/fast-spaceship", "kernel_id": "27151172"}, {"ref": "pksx01/pycaret-explorer", "kernel_id": "27378614"}, {"ref": "pksx01/pycaret-blender", "kernel_id": "27465565"}, {"ref": "iampunitkmryh/spaceship-titanic-eda", "kernel_id": "27558594"}, {"ref": "utkarsh175/spaceship-titanic-tutorial-beginner-0-77-acc", "kernel_id": "27954727"}, {"ref": "amit1235813/spaceship-logistic-regression", "kernel_id": "27712093"}, {"ref": "amit1235813/spaceship-titanic-random-forest-classification", "kernel_id": "27740590"}, {"ref": "arti1117/spaceship-titanic", "kernel_id": "27494420"}, {"ref": "gurjinderkaur/spaceship-featureeng-catboost-80-accuracy", "kernel_id": "27343210"}, {"ref": "vivek61/eda-spaceship-titanic", "kernel_id": "27220757"}, {"ref": "srikantsahoo/spaceship-titanic-eda-baseline-models", "kernel_id": "27525950"}, {"ref": "nabarungos/spaceship-titanic-solution-score-of-81-73", "kernel_id": "27030235"}, {"ref": "maheshpatapalli/space-titanic", "kernel_id": "27917836"}, {"ref": "danharris97/spaceship-titanic-80-4-acc-catboostclassifier", "kernel_id": "27961943"}, {"ref": "yeonseokcho/spaceship-titanic-classifaication-modeling", "kernel_id": "27209197"}, {"ref": "hiroshiotagaki/spaceship-titanic-with-r", "kernel_id": "27255884"}, {"ref": "iannjuguna/space-titanic", "kernel_id": "27778511"}, {"ref": "bernardinosassoli/space-titanic-eda-79-classification", "kernel_id": "27737070"}, {"ref": "ajaypalsinghlo/spaceship-titanic-ml", "kernel_id": "27261121"}, {"ref": "baddaimad/spaceship-titanic", "kernel_id": "27089550"}, {"ref": "muki2003/spaceship-titanic-deeplearning", "kernel_id": "27163330"}, {"ref": "amanosan/spaceship-titanic-eda-modeling-tuning", "kernel_id": "27117265"}, {"ref": "miguelgonzlezortiz/spaceship-titanic-eda-nn-model", "kernel_id": "27186788"}, {"ref": "jirkaborovec/starter-flash-spaceship-titanic", "kernel_id": "27621966"}, {"ref": "tomasdalverme/space-titanic-applied-artificial-intelligence", "kernel_id": "27103091"}, {"ref": "pawebiegun/spaceship-titanic", "kernel_id": "27073423"}, {"ref": "serkanoral/r-catboost", "kernel_id": "27357986"}, {"ref": "akashkanojiya/titanic-in-space", "kernel_id": "27953426"}, {"ref": "prashantpathak244/spaceship-survivor", "kernel_id": "27781371"}, {"ref": "artem8verbov/spaceship-titanic-eda-model-selection", "kernel_id": "27542641"}, {"ref": "mst8823/my-gbdt-templete", "kernel_id": "27850607"}, {"ref": "dmitriypichugin/spaseship-using-gradient-boosting", "kernel_id": "27970666"}, {"ref": "aidenwhite/spaceship-comp-random-forest-w-na-imputation", "kernel_id": "27611943"}, {"ref": "shidharthanand/spaceship-titanic", "kernel_id": "27769484"}, {"ref": "chingiznurzhanov/spaceship-custom-clf-transformer-outliers", "kernel_id": "27958929"}, {"ref": "mesofianeyou/spaceship-titanic-eda-fi-80-of-accuracy", "kernel_id": "27760851"}, {"ref": "pchamoli191900/spaceship-titanic-neural-network", "kernel_id": "27827544"}, {"ref": "pchamoli191900/spaceship-titanic-mlp", "kernel_id": "27824438"}, {"ref": "pchamoli191900/spaceship-titanic", "kernel_id": "27532608"}, {"ref": "blessontomjoseph/titanic-spaceship-base", "kernel_id": "27941008"}, {"ref": "shivanisinghal/spaceship-titanic", "kernel_id": "27314306"}, {"ref": "jessypango/spaceship-titanic", "kernel_id": "27802881"}, {"ref": "masatomurakawamm/spaceshiptitanic-eda-tabtransformer-tensorflow", "kernel_id": "27053911"}, {"ref": "sethmackie/notebookb033e9b39e", "kernel_id": "27656265"}, {"ref": "azminetoushikwasi/all-imputation-techniques-with-pros-and-cons", "kernel_id": "27588167"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "hugolearn/spaceship-titanic", "kernel_id": "27474122"}, {"ref": "pralabhpoudel/to-infinity-and-beyond-with-logistic-regression", "kernel_id": "27891661"}, {"ref": "aasthavashist/spaceship-titanic", "kernel_id": "27703719"}, {"ref": "egemenuurdalg/spaceship-titanic", "kernel_id": "27079195"}, {"ref": "jammikunal/teleportation-classification", "kernel_id": "27532522"}, {"ref": "ramniwashkumar/spaceship-titanic-rf", "kernel_id": "27958642"}, {"ref": "anshumanavinav/spacetitanic", "kernel_id": "27491051"}, {"ref": "barbagrande007/bbg007-space-titanic", "kernel_id": "27859059"}, {"ref": "harshsingh2209/spaceship-titanic-eda-classification", "kernel_id": "27880396"}, {"ref": "prateek2709/project-2", "kernel_id": "27613911"}, {"ref": "jbrichardet/space-titanic", "kernel_id": "27984473"}, {"ref": "dianalaveena/spaceship-titanic-competition-80-89-accuracy", "kernel_id": "27555525"}, {"ref": "rohitshirudkar/spaceship-titanic-end-to-end", "kernel_id": "27640249"}, {"ref": "arunkg97/spaceship-titanic-rfc", "kernel_id": "27771400"}, {"ref": "eligallagher/fork-of-copy-space-titanic-pass-2", "kernel_id": "27332505"}, {"ref": "eligallagher/space-titanic-pass-1", "kernel_id": "27254872"}, {"ref": "eligallagher/copy-space-titanic-pass-2", "kernel_id": "27277834"}, {"ref": "okamotoai/tytanic", "kernel_id": "27587929"}, {"ref": "ahmedtoba/eda-ensemble", "kernel_id": "27713011"}, {"ref": "kinhqucphm/tuning-perfect-models-for-zero-inflated-data", "kernel_id": "27441664"}, {"ref": "pankajkumar2002/spaceship-titanic-with-randomforest", "kernel_id": "27480875"}, {"ref": "pankajkumar2002/spaceship-titanic-with-tensorflow-eda", "kernel_id": "27671145"}, {"ref": "vitorbronde/new-titanic", "kernel_id": "27152376"}, {"ref": "jaehwanlee95/spaceship-titanic-stacking-emsemble", "kernel_id": "27501419"}, {"ref": "jaehwanlee95/spaceship-titanic-automl", "kernel_id": "27415819"}, {"ref": "keitayanagihara/spaceship-my-test-code", "kernel_id": "27385392"}, {"ref": "keitayanagihara/spaceship-mycode", "kernel_id": "27465289"}, {"ref": "keitayanagihara/spaceship", "kernel_id": "27880088"}, {"ref": "munagalasivaram/spaceship-titanic-eda-17-classification-algorithms", "kernel_id": "27794518"}, {"ref": "yasser101/qantoyassercode", "kernel_id": "27339705"}, {"ref": "anuradhaghotekar/spaceship-titanic", "kernel_id": "27477820"}, {"ref": "ahmadsoliman94/spaceship-prediction-eda", "kernel_id": "27249531"}, {"ref": "garrettspringer/titanic-spaceship", "kernel_id": "27707976"}, {"ref": "pmykola/kp11-spacetitanic", "kernel_id": "27246056"}, {"ref": "mustafacihadgoktepe/spaceship-titanic-voting-classifier", "kernel_id": "27269111"}, {"ref": "mustafacihadgoktepe/spaceship-titanic-deep-learning", "kernel_id": "27294556"}, {"ref": "sanzharanapiyayev/titanic-spaceship", "kernel_id": "27788939"}, {"ref": "vasylivanochko/ivanochko-lab3", "kernel_id": "27599840"}, {"ref": "blnikan/spaceship-titanic", "kernel_id": "27563898"}, {"ref": "tqueiroz33/spaceship-titanic-lr-knn-dt-gnb-svc-rf", "kernel_id": "27836587"}, {"ref": "as411011/space-titanic-randomforest", "kernel_id": "27789243"}, {"ref": "as411011/spaceship-titanic-with-tensorflow-eda", "kernel_id": "27810374"}, {"ref": "jiaowoguanren/pred-tf-acc-0-8044", "kernel_id": "27156403"}, {"ref": "today100/spaceship", "kernel_id": "27433953"}, {"ref": "hardawaylong214/spaceship-r-hardawaylong", "kernel_id": "27840323"}, {"ref": "rushikeshdane20/most-powerful-country-in-the-world-dashboard", "kernel_id": "27591471"}, {"ref": "nirmalababu/spaceshiptitanic", "kernel_id": "27429419"}, {"ref": "wsqdssl/notebookb1565b63ad", "kernel_id": "27592581"}, {"ref": "dominikrom/spaceship-titanic-xgboost", "kernel_id": "27031737"}, {"ref": "werus23/spaceship-titanic-ensemble", "kernel_id": "27051542"}, {"ref": "danielflu/space-titanic-the-show-must-go-on", "kernel_id": "27114468"}, {"ref": "danielflu/spaceship-titanic-try-to-pipeline", "kernel_id": "27312644"}, {"ref": "satoshidaniel/spaceship-titanic-random-forest", "kernel_id": "27254485"}, {"ref": "romanusachev/spaceship-titanic", "kernel_id": "27972164"}, {"ref": "programmerrdai/space-titanic-the-show-must-go-on", "kernel_id": "27198402"}, {"ref": "mirfanazam/galactic-inspector", "kernel_id": "27531471"}, {"ref": "lucasportodealmeida/spaceship-titanic-0-80360", "kernel_id": "27590976"}, {"ref": "tgustavs/spacetitanic", "kernel_id": "27406409"}, {"ref": "annika04/spaceship-titanic", "kernel_id": "27200804"}, {"ref": "aniketarpathak/decision-tree-sample", "kernel_id": "27280250"}, {"ref": "ajkannampuzha/spaceship-titanic", "kernel_id": "27534820"}, {"ref": "poklonsky0alex/knn-randomforestclassifier", "kernel_id": "27305250"}, {"ref": "hayaa6211/with-logistic", "kernel_id": "27922155"}, {"ref": "oscardata963/spaceship-titanic-notebook", "kernel_id": "27946116"}, {"ref": "axelvanneste/notebook39d79eaa11", "kernel_id": "27956977"}, {"ref": "dinoc333283/notebook8a601d5729", "kernel_id": "28280058"}, {"ref": "adityabhat/lost-in-space-a-guide-to-spaceship-titanic", "kernel_id": "28399645"}, {"ref": "athews/space-titanic-eda-and-rf-lightgbm-xgboost-tf", "kernel_id": "28249542"}, {"ref": "patber/spaceship-titanic-rf-xgboost-acc-0-80196", "kernel_id": "28749226"}, {"ref": "emphymachine/sklearn-tutorial", "kernel_id": "28108822"}, {"ref": "atrisaxena/spaceship-titanic-mistake-repeated", "kernel_id": "28518304"}, {"ref": "ndrw89/notebook-spaceship-tatinic-score-0-80079", "kernel_id": "28234813"}, {"ref": "benya1969/benyammu-data-cleaning", "kernel_id": "28350469"}, {"ref": "fourteenflames/spacetitanic", "kernel_id": "28930392"}, {"ref": "pinstripezebra/eda-xgboost", "kernel_id": "28988498"}, {"ref": "potatomato64/spaceshiptitanic", "kernel_id": "28705910"}, {"ref": "jiwon2/spaceship-titanic", "kernel_id": "28372737"}, {"ref": "amanpathak2909/spaceship-titanic", "kernel_id": "28538897"}, {"ref": "swofde/spacetitanic", "kernel_id": "28919066"}, {"ref": "stg44g3g36hk416hk417/spaceship-titanic-with-lightgbm-top-13", "kernel_id": "28417506"}, {"ref": "stg44g3g36hk416hk417/spaceship-titanic-with-pytorch", "kernel_id": "28825174"}, {"ref": "tilhi98/xgboost-feature-engineering-spaceship-titanic", "kernel_id": "28701895"}, {"ref": "shiwayz/spaceship-titanic", "kernel_id": "28827051"}, {"ref": "tphaterp/a-concise-pipeline-ml-approach-to-titanic-dataset", "kernel_id": "28349751"}, {"ref": "julienmihai/spaceship-titanic", "kernel_id": "28038804"}, {"ref": "rockyyashchauhan/0-80734-accuracy-with-simple-eda", "kernel_id": "28909287"}, {"ref": "avamys/space-titanic-simple-xgboost-solution", "kernel_id": "28355530"}, {"ref": "bretthayes/spaceship-titanic-exploratory-analysis", "kernel_id": "28211924"}, {"ref": "joshxmiller656/sklearn-catboost", "kernel_id": "28585814"}, {"ref": "geetanshkalra/spaceshiptitanic-most-basic-eda", "kernel_id": "28596737"}, {"ref": "neeharikar/titanic-spaceship-eda-prediction-multiple-models", "kernel_id": "28882413"}, {"ref": "rohandawar/titanic-spaceship-1-dl-version", "kernel_id": "28298740"}, {"ref": "kwangjongchoi/spaceship-titanic-feature-eng-nn-model", "kernel_id": "28673494"}, {"ref": "massimot/spaceship-titanic-top-11-xgb", "kernel_id": "28762102"}, {"ref": "nicolabarbieri02/spaceship-titanic", "kernel_id": "28747835"}, {"ref": "sriramanush123/spaceshiptitanic", "kernel_id": "28925396"}, {"ref": "maksimbotsev/spaceship-titanic-simple-classifier", "kernel_id": "28544146"}, {"ref": "sinjeongyeol/spaceshiptitanic-binaryclassification-1", "kernel_id": "28196875"}, {"ref": "sinjeongyeol/spaceshiptitanic-binaryclassification-2", "kernel_id": "28297899"}, {"ref": "blackhurt/stacking-classifier", "kernel_id": "28801704"}, {"ref": "blackhurt/voting-classifier-for-space", "kernel_id": "28637368"}, {"ref": "blackhurt/stacking-with-lgbm-gbc-and-adaboost", "kernel_id": "28667034"}, {"ref": "nalkrolu/spaceship-titanic-classification", "kernel_id": "28447621"}, {"ref": "vvvvvvv999/spaceship-titanic-eda-catboost-optuna-0-80664", "kernel_id": "28248241"}, {"ref": "edilsoncastro/starship-titanic-study-for-competition", "kernel_id": "28238794"}, {"ref": "mmarcant/rendu-deep-learning", "kernel_id": "28858311"}, {"ref": "ocanaydin/spaceship-titanic-feature-ext", "kernel_id": "28614148"}, {"ref": "sreeshbk/spaceship-titanic", "kernel_id": "28142387"}, {"ref": "someshdev/logistic-regression-using-g-descent", "kernel_id": "28740313"}, {"ref": "someshdev/logistic-regression-using-sklearn-and-cv", "kernel_id": "28781292"}, {"ref": "reymaster/spaceship-titanic-complete-walkthrough-80", "kernel_id": "28464290"}, {"ref": "ksumeet/titanic-spaceship-tuning-0-80173", "kernel_id": "28513514"}, {"ref": "cellanhall/lightning-flash-spaceship-titanic", "kernel_id": "28161089"}, {"ref": "zahraalidadi75/spaceshiptitanic-with-logistic-regression", "kernel_id": "28400654"}, {"ref": "emish8/spaceship-transportation-randomforest", "kernel_id": "28410779"}, {"ref": "sanchman/spaceship-titanic-eda", "kernel_id": "28611707"}, {"ref": "ratandeepgupta/ensemble-space", "kernel_id": "28296595"}, {"ref": "sasakic/spaceship-titanic-predicting-nan-by-lgbm", "kernel_id": "28402482"}, {"ref": "yisberh/notebooke9a60f1c3c", "kernel_id": "28443765"}, {"ref": "yisberh/spaceship-titanic-eda-and-modeling", "kernel_id": "28381194"}, {"ref": "rahulmondal08/space-titanic-pred-6-ml-models-79-accuracy", "kernel_id": "28591949"}, {"ref": "cyrilbourgeois/autogluon-ensemble-stacking", "kernel_id": "28671014"}, {"ref": "upinderkahlon28/spaceship-transport-predictions", "kernel_id": "28809463"}, {"ref": "pawelmag/simple-solution-with-0-80383-accuracy", "kernel_id": "28209508"}, {"ref": "timothys5/spaceship-titanic-pipeline-gridsearchcv", "kernel_id": "28771280"}, {"ref": "piyush242002/spaceship-titanic", "kernel_id": "28779906"}, {"ref": "elliottdelaunay/spaceship-titanic-augury-template", "kernel_id": "28525357"}, {"ref": "devpatel917/79-random-forest-model", "kernel_id": "28161224"}, {"ref": "abdulaziz04/simple-approach-using-xgbclassifier", "kernel_id": "28053099"}, {"ref": "combustingrats/eda-logistic-regression-and-nn", "kernel_id": "28133455"}, {"ref": "abdelrahmanhanafy/spaceship-titanic", "kernel_id": "28272640"}, {"ref": "vlad15lav/spaceship-titanic", "kernel_id": "28024403"}, {"ref": "victorblai/simple-eda", "kernel_id": "28687086"}, {"ref": "ianolmstead/spaceship-titanic-challenge", "kernel_id": "28909905"}, {"ref": "mohamedmeqlad/spaceship-titanic-eda-ml-model-l", "kernel_id": "28491326"}, {"ref": "casati8/kaggle-spaceship-titanic-fastai", "kernel_id": "28044076"}, {"ref": "liviam/spaceshiptitanic-14july2022", "kernel_id": "28763725"}, {"ref": "masatomurakawamm/tabnet-dnn-decisiontree-library-fromscratch", "kernel_id": "28626684"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "rattaponinsawangwong/spaceship-titanic-logistic-xgbooted", "kernel_id": "28800448"}, {"ref": "dhirajkumar612/spaceship-titanic-data-visualisation", "kernel_id": "28230562"}, {"ref": "jusangoh/spaceship-mi-xgb", "kernel_id": "28454385"}, {"ref": "nsreehari/spaceship-ensemble-methods-nn-comparison", "kernel_id": "28063489"}, {"ref": "vineetkumarpatil/spaceship-titanic-using-logisticregression", "kernel_id": "28827621"}, {"ref": "muhammedsal98/spaceship-titanic-eda", "kernel_id": "28239032"}, {"ref": "olehmezhenskyi/ensemble-of-8-models-80-7-score", "kernel_id": "28486410"}, {"ref": "vamsichennakesava/space-ship-using-auto-visualization-and-ml", "kernel_id": "28476292"}, {"ref": "muthupalaniappan925/data-cleaning", "kernel_id": "28320302"}, {"ref": "asemmustafa/step-by-step-guide-for-titanic-survival-prediction", "kernel_id": "28804838"}, {"ref": "raffrusso/spaceship-feature-engineering-score-0-78372", "kernel_id": "28251529"}, {"ref": "abdulghaffaransari/spaceship-titanic-eda-7-different-models", "kernel_id": "28517218"}, {"ref": "mahsazamanifard/spaceship-titanic-eda-pipelines-scoring", "kernel_id": "28184256"}, {"ref": "gaowsm/khela-shuru-01-space-titanic", "kernel_id": "28995644"}, {"ref": "vasiliygolikov/stacking-and-xgb", "kernel_id": "28667072"}, {"ref": "efebicer/space-titanic-xgboost-0-80617", "kernel_id": "28608938"}, {"ref": "delle3abnina/lgbmclassifier-score-80-336", "kernel_id": "28636450"}, {"ref": "balajikartheek/spaceship-titanic-predictions", "kernel_id": "28527177"}, {"ref": "willingtodev/contribution-spacious-data-research", "kernel_id": "28611154"}, {"ref": "rajkumar125/spaceship-titanic-classification", "kernel_id": "28487086"}, {"ref": "yuriantonelli/titanic-gboosting-approach", "kernel_id": "28678935"}, {"ref": "sathyakrishnan12/spaceship-titanic-xgboost", "kernel_id": "28791804"}, {"ref": "simonhm/data-analyze-and-logistic-regression", "kernel_id": "28292929"}, {"ref": "corneliusjustin/spaceship-titanic-with-ensemble-learning-voting", "kernel_id": "28529484"}, {"ref": "nichin/spacetitanic-1sttry", "kernel_id": "28060936"}, {"ref": "abdulaminafridi/spaceship-titanic", "kernel_id": "28072545"}, {"ref": "pgorphe/xgboost-spaceship-titanic", "kernel_id": "28280981"}, {"ref": "lukeduthoit/eda-featureengineering-noscaling-mlpclassifier", "kernel_id": "28933600"}, {"ref": "nabilajahan/spaceship-titanic-data-cleaning", "kernel_id": "28244874"}, {"ref": "tonyrubanrajraja/spaceship-titanic-data-analysis-and-prediction", "kernel_id": "28086801"}, {"ref": "igorshirokov/top-10-space-titanic", "kernel_id": "28040728"}, {"ref": "sindhuinti/comp2", "kernel_id": "28745577"}, {"ref": "ziadhamadafathy/predicting-passengers-are-transported-acc-82", "kernel_id": "28281326"}, {"ref": "kowkuriashwini/titanic-spaceship", "kernel_id": "28271977"}, {"ref": "enesenyrek/spaceshiptitanic-eda", "kernel_id": "28354298"}, {"ref": "sacazesteven/notebook-deep-learning", "kernel_id": "28297990"}, {"ref": "yiukitcheung/spaceship-voting-model", "kernel_id": "28654537"}, {"ref": "keliandanquigny/notebook80416177f7", "kernel_id": "28707279"}, {"ref": "sagshk/space-titanic-prediction", "kernel_id": "28261126"}, {"ref": "user667/spaceship-titanic-eda-bayesian-tuning", "kernel_id": "28387281"}, {"ref": "rumbleftw/multi-model-analysis-eda", "kernel_id": "28702163"}, {"ref": "kuzinmaxim/spaceship-titanic", "kernel_id": "28282275"}, {"ref": "rupeshdubey999/spaceship-titanic", "kernel_id": "28210886"}, {"ref": "luxfero/randomforestclassifier-beginner-0-79565", "kernel_id": "28746278"}, {"ref": "abhayparashar31/spaceship-titanic-complete-analysis-prediction", "kernel_id": "28068674"}, {"ref": "arnabdey2001/spaceship-titanic", "kernel_id": "28333236"}, {"ref": "biswadata/titanic-spaceship", "kernel_id": "28206711"}, {"ref": "rushikeshdane20/software-professional-salary-interactive-dashboard", "kernel_id": "28385281"}, {"ref": "usamabalochhh/spaceshiptitanic-eda-80-accuracy", "kernel_id": "28578942"}, {"ref": "cocozhang21/complete-ml-project", "kernel_id": "28656340"}, {"ref": "akashkotal/titanic-spaceship-various-machine-learning-model", "kernel_id": "28768441"}, {"ref": "kevinabula/first-time-data-engineering", "kernel_id": "28017439"}, {"ref": "vivekyogi/notebookd07aa112ec", "kernel_id": "28009803"}, {"ref": "chungyanchow/space-titanic", "kernel_id": "28483969"}, {"ref": "ltrahul/spaceship-titanic-prediction-using-neural-network", "kernel_id": "28234103"}, {"ref": "eisgandar/spaceship-titanic-eda-xgboost-80", "kernel_id": "28219432"}, {"ref": "marwanghouma/spaceship-titanic", "kernel_id": "28581996"}, {"ref": "wonshikmin/spaceship-titanic-wonshik", "kernel_id": "28168156"}, {"ref": "viktortaran/space-titanic", "kernel_id": "28886687"}, {"ref": "battkyoung/spaceship-titanic-kim-young", "kernel_id": "28373445"}, {"ref": "naveensenthilkumar/titanic-spaceship-prediction-increased-accuracy", "kernel_id": "28974701"}, {"ref": "marlenbk/titanic-models-feature-engineering-0-80", "kernel_id": "28615229"}, {"ref": "marlenbk/spaceship-titanic-lr-lgbm-xgb-gbc", "kernel_id": "28465217"}, {"ref": "ackelley/spaceship-titanic-feature-engineering", "kernel_id": "28554705"}, {"ref": "knehlv/spaceship-with-nn", "kernel_id": "28349124"}, {"ref": "knehlv/getting-start-spaceship-xgboost-and-plot", "kernel_id": "28270217"}, {"ref": "sarthmirashi07/sp-titanic-ensemble-voting-classifier-top-7", "kernel_id": "28431356"}, {"ref": "sarthmirashi07/feature-engineering-hacks-get-top-10", "kernel_id": "28663573"}, {"ref": "ryhime/titanic", "kernel_id": "28260002"}, {"ref": "ryhime/spaceship-titanic", "kernel_id": "28260443"}, {"ref": "xav1erwang/spaceship-titanic", "kernel_id": "28250467"}, {"ref": "huiwengoh/data-centric-ai-with-cleanlab-python", "kernel_id": "28133552"}, {"ref": "kevinky/lge-ds-miniproject-4team-kevin", "kernel_id": "28168915"}, {"ref": "ankitaanand28/spaceship-titanic-encoding-loc-iloc-79-accuracy", "kernel_id": "28542084"}, {"ref": "lgjeonghyeon/spaceship-titanic-eda-practice", "kernel_id": "28372686"}, {"ref": "andrepardal/spaceship-titanic-who-was-transported", "kernel_id": "28866096"}, {"ref": "esp543/notebookbf97dd5ac9", "kernel_id": "28502112"}, {"ref": "nagaeryotaro/notebook219500ba84", "kernel_id": "28562852"}, {"ref": "zemmiri/2eme-partie-projet", "kernel_id": "28208422"}, {"ref": "xodeum/spaceship-titanic", "kernel_id": "28350649"}, {"ref": "minkyawnyunt/titanic-spaceship", "kernel_id": "28978119"}, {"ref": "camilosinning/spaceship", "kernel_id": "28315041"}, {"ref": "watanabemasayoshi/notebook70426a58fc", "kernel_id": "28974390"}, {"ref": "kwhr44/spaceship-titanic", "kernel_id": "28901969"}, {"ref": "ohmatsumasao/notebook3cec7bdc17", "kernel_id": "28359518"}, {"ref": "majkaf/spaceship-titanic", "kernel_id": "28829634"}, {"ref": "genkitakahashi/notebooke68a9f530f", "kernel_id": "28961435"}, {"ref": "torowa6457/data-science", "kernel_id": "28683678"}, {"ref": "aiehiroki/spacetitanic", "kernel_id": "28508183"}, {"ref": "solomonyolo/spaceship-titanic-wip-80", "kernel_id": "28632500"}, {"ref": "godsown/notebook898d372b49", "kernel_id": "28653407"}, {"ref": "klsu023/spaceshiptitanic", "kernel_id": "28888774"}, {"ref": "youngkyongkim/lge-ds-3-group4-spaceship-titanic", "kernel_id": "28976372"}, {"ref": "scottjeon83/4-team-scott-spaceship-titanic", "kernel_id": "28973893"}, {"ref": "javadfarshchi/spaceship-titanic-competition", "kernel_id": "28859547"}, {"ref": "sangyo/lge-ds-spaceship-titanic-competition-pjt", "kernel_id": "28946971"}, {"ref": "hellosastry/notebookb57d820642", "kernel_id": "28920852"}, {"ref": "crayola/introduction-to-optuna", "kernel_id": "29890626"}, {"ref": "vrenganathan/spaceship-top-5-accuracy-81-adv-ml-models", "kernel_id": "29077958"}, {"ref": "dgf4qu/glmv2-spaceship-titanic", "kernel_id": "29077339"}, {"ref": "ekasabrol/spaceship-randomforest-classifier", "kernel_id": "29794491"}, {"ref": "chmaxx/spaceship-titanic-full-eda-lgbm-gridsearch", "kernel_id": "29045291"}, {"ref": "qayyum453/spaceship-titanic-predictions-using-pycaret", "kernel_id": "29596759"}, {"ref": "qayyum453/spaceship-titanic-prediction-voting-classifier", "kernel_id": "29552674"}, {"ref": "cyborg123/gradient-boosting-80", "kernel_id": "29954882"}, {"ref": "vishank97/tracking-ml-models-with-mlfoundry", "kernel_id": "29824038"}, {"ref": "leodaniel/roc-curve-simply-explained", "kernel_id": "29697191"}, {"ref": "ritvik1909/mcnemar-test-to-compare-classifiers", "kernel_id": "29123794"}, {"ref": "kerolosemad/my-spaceship-members-told-me-to-make-it-simple", "kernel_id": "29072078"}, {"ref": "pablotabiloch/spaceshiptitanic", "kernel_id": "29832842"}, {"ref": "letslive/how-random-forests-really-work-titanic-spaceship", "kernel_id": "29917779"}, {"ref": "yy123123/simple-eda-prediction", "kernel_id": "29498452"}, {"ref": "yy123123/machine-learning-is-not-complicated-80-4", "kernel_id": "29651611"}, {"ref": "mmellinger66/spaceship-titanic-voting-classifier", "kernel_id": "29162808"}, {"ref": "mmellinger66/spaceship-titanic-xgb-lgbm-blend", "kernel_id": "29154359"}, {"ref": "fafinozzi/spaceship-titanic-top-solution-with-catbooster", "kernel_id": "29659701"}, {"ref": "mhapich/spaceship-titanic-1", "kernel_id": "29393924"}, {"ref": "burakdilber/spaceship-titanic-eda-preprocessing-and-xgboost", "kernel_id": "29576922"}, {"ref": "burakdilber/spaceship-titanic-tidyverse-and-tidymodels", "kernel_id": "29278643"}, {"ref": "mpwolke/the-ss-titanic-ipyvizzu", "kernel_id": "29483979"}, {"ref": "skhalili/test123", "kernel_id": "29920318"}, {"ref": "vencerlanz09/0-80266-eda-feature-engineerng", "kernel_id": "29218674"}, {"ref": "marciocosta/espa-onave-titanic", "kernel_id": "29029162"}, {"ref": "linigoga/spaceship-titanic-feature-engineering-and-xgboost", "kernel_id": "29300758"}, {"ref": "yagli18/spaceship-titanic-classification", "kernel_id": "29715668"}, {"ref": "ganiyuolalekan/handling-missing-values-in-the-spaceship-dataset", "kernel_id": "29337011"}, {"ref": "ranjitnayak/spaceship-data-to-alternate-dimension", "kernel_id": "29099296"}, {"ref": "jedrix/spaceship-titanic-my-first-submission", "kernel_id": "29764807"}, {"ref": "nickmasterrs/spaceship-titanic-catboost-and-votingclassifier", "kernel_id": "29313456"}, {"ref": "josmyrose/spaceship-titaic", "kernel_id": "29264728"}, {"ref": "josmyrose/titanic-dataset", "kernel_id": "29957591"}, {"ref": "paritoshreddy/score-80-learner-friendly-spaceship-titanic", "kernel_id": "29164698"}, {"ref": "artemkapustin/spaceship-titanic-catboost-easy-score-0-80", "kernel_id": "29255710"}, {"ref": "pmassouf/xgb-starter-accuracy-0-79", "kernel_id": "29398023"}, {"ref": "felixscheffler/spaceship-titanic-with-keras", "kernel_id": "29453975"}, {"ref": "varundurvasula/random-submission-the-baseline-accuracy-of-49", "kernel_id": "29170751"}, {"ref": "khunnurjirao/spaceship-titanic-ml1", "kernel_id": "29632017"}, {"ref": "kavinmuthukumar/random-forest-hyper-parameter-tuning", "kernel_id": "29658544"}, {"ref": "wahyunoorichwan/optimization-on-space-titanic-prediction", "kernel_id": "29103260"}, {"ref": "obakengothusitse/spaceship-titanic-competition", "kernel_id": "29510473"}, {"ref": "ripon107/titanic", "kernel_id": "29062043"}, {"ref": "akmalquamri/first-submittion-modelbuilding", "kernel_id": "29207496"}, {"ref": "yousiffaruk/eda-classifing-using-different-algorithms", "kernel_id": "29704299"}, {"ref": "aveocr/spacetitanic", "kernel_id": "29466577"}, {"ref": "gersonvillalba/spaceship-titanic-eda-full-pipeline-model", "kernel_id": "29659787"}, {"ref": "avinemmatty/eda-predictions-using-ml-algorithms-beginner", "kernel_id": "29303757"}, {"ref": "souravkrshukla/spaceship-titanic-with-xgboost-80-35", "kernel_id": "29851593"}, {"ref": "muhammadbilalhaneef/a-guide-missingvalues-feature-engineering-eda", "kernel_id": "29999827"}, {"ref": "tracyporter/spaceship-t-udemy", "kernel_id": "29404783"}, {"ref": "tracyporter/spaceship-t-udemy-svc", "kernel_id": "29407597"}, {"ref": "tracyporter/spaceship-t-udemy-rfc", "kernel_id": "29408026"}, {"ref": "pathikghugare/eda-spaceship-titanic", "kernel_id": "29752101"}, {"ref": "moatazbellahahmed/spaceship-titanic-eda-prediction", "kernel_id": "29492278"}, {"ref": "quocviet123/spaceship-titanic", "kernel_id": "29219408"}, {"ref": "patrickhiemsch/spaceship-titanic-detailed-eda-nan-80", "kernel_id": "29466197"}, {"ref": "emish8/spaceship-titanic-feature-extraction", "kernel_id": "29130231"}, {"ref": "mariajosemv/spaceship-titanic", "kernel_id": "29137143"}, {"ref": "priyanshu009ch/spaceship-titanic-support-vector-classification", "kernel_id": "29806006"}, {"ref": "muskan9698/gradientboostingclassifier-preprocess-data", "kernel_id": "29355296"}, {"ref": "yefimsokolov/catboost-eda-feature-engineering", "kernel_id": "29535352"}, {"ref": "giulianocasatamarozi/spaceship-titanic-logistic-regression", "kernel_id": "29902076"}, {"ref": "yasheejoshi/spaceship-titanic-logistic-regression-training", "kernel_id": "29518538"}, {"ref": "cyrilbourgeois/part-1-dataprepa-upgrade-previous-work", "kernel_id": "29899055"}, {"ref": "cyrilbourgeois/autogluon-function-tuning", "kernel_id": "29211170"}, {"ref": "axess4649/beginner-s-submission-score-0-79424", "kernel_id": "29983746"}, {"ref": "wonchanleee/eda-space-titanic", "kernel_id": "29450437"}, {"ref": "ikonuhov/titanic-spaceship-80-eng-rus", "kernel_id": "29844648"}, {"ref": "jackwilliams3rd/you-can-find-the-characteristics-of-teenager", "kernel_id": "29309449"}, {"ref": "shibumohapatra/spaceship-titanic", "kernel_id": "29448851"}, {"ref": "syedasimalishah/approaching-from-back", "kernel_id": "29730199"}, {"ref": "danb91/spacshiptitanic-starter-eda-rf-model-eval-80", "kernel_id": "29480457"}, {"ref": "danb91/pipeline-rf-xgb-lgbm-80-top-15", "kernel_id": "29518602"}, {"ref": "danb91/rf-xgb-lgbm-81-with-optuna", "kernel_id": "29690149"}, {"ref": "stevenbrigham/spaceship-titanic-easy-random-forest-model", "kernel_id": "29521572"}, {"ref": "odaymourad/detailed-and-full-solution-step-by-step-80-score", "kernel_id": "29408889"}, {"ref": "harshlakhani/lgbmclassifier-xgboost-acc-0-808511", "kernel_id": "29128488"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "azminetoushikwasi/classification-comparing-different-algorithms", "kernel_id": "29234583"}, {"ref": "muhammadsameerr/sapceship-titanic-80-accuracy", "kernel_id": "29719699"}, {"ref": "vitalykuleshov/spaceship-titanic-accuracy-0-8", "kernel_id": "29433629"}, {"ref": "oykuer/spaceship-titanic-with-catboost-13", "kernel_id": "29463224"}, {"ref": "hainescity/spaceship-titanic-eda-rfc", "kernel_id": "29848154"}, {"ref": "bessielee1/spaceship-titanic-lgb-xgb-catboost-gb-single0-805", "kernel_id": "29020502"}, {"ref": "wongfeiyeung/spaceship-titanic-feature-engineering-eda", "kernel_id": "29120337"}, {"ref": "davidzambrano87/ss-titanic-eda-by-dz", "kernel_id": "29186717"}, {"ref": "davidzambrano87/ss-titanic-error-analysis-by-dz", "kernel_id": "29461717"}, {"ref": "davidzambrano87/ss-titanic-fe-by-dz", "kernel_id": "29363119"}, {"ref": "davidzambrano87/ss-titanic-modeling-by-dz", "kernel_id": "29367537"}, {"ref": "meln1337/titanic-spaceship-notebook", "kernel_id": "29152826"}, {"ref": "param302/eda-titanic", "kernel_id": "29940266"}, {"ref": "abdulrahmanitman/spaceship-titanic-1", "kernel_id": "29413698"}, {"ref": "danielabosch/spaceship-titanic-parte-1-eda", "kernel_id": "29110150"}, {"ref": "danielabosch/spaceship-titanic-parte-2-train-predict", "kernel_id": "29554571"}, {"ref": "kushasabzevari/linear-regression-car-data", "kernel_id": "29514301"}, {"ref": "rodrigossoares256/machine-learning-skopt-keras-scikit-learn", "kernel_id": "29054823"}, {"ref": "mahdeemushfiquekamal/top-12-ensemble-model-of-xgb-lgbm-rf", "kernel_id": "29055208"}, {"ref": "danilcherinov/spaceship-titanic-rf-gradient-boosting", "kernel_id": "29662255"}, {"ref": "danilcherinov/spaceship-titanic-catboost-0-80851", "kernel_id": "29896140"}, {"ref": "thektracks/spaceship-titanic", "kernel_id": "29677155"}, {"ref": "fumbanibanda/predict-whether-a-passenger-was-transported", "kernel_id": "29455712"}, {"ref": "prisonmikey/spaceship-titanic-svm-decisontree-randomforest", "kernel_id": "29541806"}, {"ref": "rm1000/updated-exponentially-weighted-ensemble", "kernel_id": "29931969"}, {"ref": "mohamedadam1980/notebook0b2eeaacf7", "kernel_id": "29360010"}, {"ref": "kemalfarukbaaran/titanicspaceship", "kernel_id": "29459154"}, {"ref": "lazer999/spaceship-titanic-top-6-for-beginners", "kernel_id": "29397277"}, {"ref": "kalelpark/visualization-for-matplotlib-intermediate-3", "kernel_id": "29913607"}, {"ref": "kalelpark/visualization-for-matplotlib-intermediate-1", "kernel_id": "29857229"}, {"ref": "kalelpark/visualization-for-matplotlib-intermediate-2", "kernel_id": "29877040"}, {"ref": "kalelpark/visualization-for-matplotlib-introductory-2", "kernel_id": "29832719"}, {"ref": "kalelpark/visualization-for-matplotlib-introductory-1", "kernel_id": "29801468"}, {"ref": "kalelpark/visualization-for-matplotlib-advanced", "kernel_id": "29930734"}, {"ref": "deva0703/spaceship-version-2", "kernel_id": "29293177"}, {"ref": "deva0703/version2-spaceship", "kernel_id": "29289713"}, {"ref": "umarzeinardhisiregar/spacetitanicnb", "kernel_id": "29174555"}, {"ref": "somyaagupta/spaceship-titanic", "kernel_id": "29842784"}, {"ref": "somyaagupta/spaceship-titanic-using-random-forest", "kernel_id": "29863902"}, {"ref": "jyotsanakunwer/spaceship-titanic", "kernel_id": "29937860"}, {"ref": "misaelcribeiro/81-models-backward-feature-selection", "kernel_id": "29480899"}, {"ref": "muhriddinmalik/evacuation-spaceship-titanic", "kernel_id": "29149401"}, {"ref": "obinna11/spaceship-0-80", "kernel_id": "29333522"}, {"ref": "demko1/spaceship-titanic-comp-0-80219-acc", "kernel_id": "29150119"}, {"ref": "akbarhasankhatami/spaceship-titanic-old", "kernel_id": "29957174"}, {"ref": "vijaykumarphy068/spaceship-xgb", "kernel_id": "29170286"}, {"ref": "strategos2/spaceship-titanic-classification", "kernel_id": "29048691"}, {"ref": "prasadposture121/spaceship-titanic", "kernel_id": "29695215"}, {"ref": "ibraheemseyam/ibrahim-titanic-spaceship", "kernel_id": "29317878"}, {"ref": "ibraheemseyam/ibrahim-spaceship-titanic-aug22", "kernel_id": "29487891"}, {"ref": "ibraheemseyam/template-automated-eda-visualiza", "kernel_id": "29876271"}, {"ref": "juanantoniosuwardi1/step-by-step-basic-machine-learning", "kernel_id": "29957865"}, {"ref": "rodrigotakming/is-test-and-train-equaly-distributed-using-umap", "kernel_id": "29611226"}, {"ref": "arifenesaydn/spaceship-titanic", "kernel_id": "29367958"}, {"ref": "shambhavibishnoi/transportation-prediction", "kernel_id": "29445546"}, {"ref": "prashantverma13/hi-houston-we-re-heading-new-home", "kernel_id": "29035616"}, {"ref": "mcantoni81/spaceship-titanic-italian-notebook", "kernel_id": "29438987"}, {"ref": "rahulchandrasekaran/spaceship-titanic-data", "kernel_id": "29990212"}, {"ref": "namitabagri/titanic-warship-space", "kernel_id": "29992607"}, {"ref": "novikovandrii/classification-training-spaceship-titanic", "kernel_id": "29023642"}, {"ref": "rumbleftw/tutorial-logistic-regression-from-scratch", "kernel_id": "29855180"}, {"ref": "redditistrash/spaceship-titanic-model", "kernel_id": "29998930"}, {"ref": "zulfikarirham/spaceship-titanic", "kernel_id": "29179349"}, {"ref": "zacksnyde129/spaceship-titanic", "kernel_id": "29704804"}, {"ref": "michaelgartsbein/spaceship-titanic", "kernel_id": "29967416"}, {"ref": "thiennguyennnt/spaceship-titanic-rfc", "kernel_id": "29887243"}, {"ref": "rutikachavan/spaceship-titanic", "kernel_id": "29648156"}, {"ref": "giacomocavalca/spaceship-titanic-0-80-eda-ml-approaches", "kernel_id": "29092735"}, {"ref": "giacomocavalca/spaceship-titanic-0-81-accuracy-xgboost", "kernel_id": "29877733"}, {"ref": "wooglow/eda-for-spaceship-titanic", "kernel_id": "29554499"}, {"ref": "paulnepomuceno/spaceship-prediction", "kernel_id": "29175845"}, {"ref": "usamabalochhh/eda-full-logistic-regression-explanation", "kernel_id": "29356281"}, {"ref": "usamabalochhh/data-is-imbalanced-use-smote", "kernel_id": "29374786"}, {"ref": "usamabalochhh/comparison-of-tree-based-models-with-explanation", "kernel_id": "29050750"}, {"ref": "rohithparahmeshk/spaceship-titanc", "kernel_id": "29405824"}, {"ref": "rohithparahmeshk/matrix-spaceship", "kernel_id": "29409871"}, {"ref": "rohithparahmeshk/space-titanic", "kernel_id": "29219849"}, {"ref": "longvan92/getting-0-80-gradientboosting-40-lines-of-code", "kernel_id": "29408925"}, {"ref": "jonathanpaisley/notebook94d4c7fe7e", "kernel_id": "29688081"}, {"ref": "adigulalkari/notebook8505794bfb", "kernel_id": "29220294"}, {"ref": "bolandian/spaceship-titanic-lr", "kernel_id": "29942910"}, {"ref": "jayisraels/eda-on-spaceship-titanic", "kernel_id": "29531228"}, {"ref": "willis2/spaceship-titanic", "kernel_id": "29548079"}, {"ref": "yusufglcan/titanic-spaceship-competition-notebook", "kernel_id": "29045876"}, {"ref": "renadope/to-the-edge-of-the-universe-back", "kernel_id": "29193108"}, {"ref": "charlesneal/spaceship-titanic-v1-comparing-models", "kernel_id": "29049841"}, {"ref": "doggypiggy/spaceship-titanic-top-10-0-80617", "kernel_id": "29185431"}, {"ref": "bansodesandeep/ml-logistic-regression-boston-data-binning", "kernel_id": "29915382"}, {"ref": "gklpcsgn/fill-missing-data-eda-visualization", "kernel_id": "29125037"}, {"ref": "sagar2168616/spaceship-titanic-xgboost", "kernel_id": "29303674"}, {"ref": "ahmedramsey/spaceshiptitanic", "kernel_id": "29635884"}, {"ref": "shehanu/getting-started-with-spaceship-titanic", "kernel_id": "29568040"}, {"ref": "supremesoviet/spaceshiptitanic-top-4-0-81", "kernel_id": "29510749"}, {"ref": "rayenghali023/titanic-classification", "kernel_id": "29651165"}, {"ref": "rayenghali023/simple-preprocessing-smote-le-ohe-gridsearch", "kernel_id": "29622931"}, {"ref": "esp543/notebooke68a9f530f", "kernel_id": "29139418"}, {"ref": "prashun08/spaceship-titanic-prediction", "kernel_id": "29899771"}, {"ref": "yujinyano/notebookb436efeef7", "kernel_id": "29531615"}, {"ref": "sirohan2/spaceship-titanic-xgboost", "kernel_id": "29326878"}, {"ref": "kallefischer/space-titanic-10-models", "kernel_id": "29217158"}, {"ref": "superdfv/notebook345402c4dd", "kernel_id": "29768565"}, {"ref": "alibaykurt/spaceship-eda-and-prediction", "kernel_id": "29487657"}, {"ref": "linjunxiang/space-titanic-eda-fe-ensembling-0-80056", "kernel_id": "29143922"}, {"ref": "changruiyun/titan-space", "kernel_id": "29116455"}, {"ref": "tomaspetrikas/spaceship-titanic-random-forest", "kernel_id": "29379449"}, {"ref": "anjanakavid/spaceship-titanic-3", "kernel_id": "29300036"}, {"ref": "anjanakavid/spaceship-titanic-1", "kernel_id": "29281261"}, {"ref": "sneharajegore/spaceship-titanic-model", "kernel_id": "29943595"}, {"ref": "ramendrachaudhary/spaceship-titanic-top-15-draft", "kernel_id": "29646062"}, {"ref": "praneeshsharma/space-titanic-survival", "kernel_id": "29886841"}, {"ref": "arnavpatra/notebookec05c2fdf6", "kernel_id": "29429144"}, {"ref": "christinelumen/spaceship-titanic", "kernel_id": "29990113"}, {"ref": "jinsatp/eda-and-various-classification-for-biginner", "kernel_id": "29862138"}, {"ref": "hemonn/spaceship", "kernel_id": "29500768"}, {"ref": "ewaraww/spaceship-titanic-using-neural-network", "kernel_id": "29805043"}, {"ref": "makitdev/spaceship-titanic-forest", "kernel_id": "29961002"}, {"ref": "makitdev/spaceship-titanic-fastai-ensemble", "kernel_id": "29944291"}, {"ref": "danieleldan/spaceship-titanic", "kernel_id": "29860732"}, {"ref": "stevenmpro/spaceship-titanic-improved", "kernel_id": "29973390"}, {"ref": "sciamano/space-ship-titantic-save-jack-and-rose-this-time", "kernel_id": "30676855"}, {"ref": "snikks/simple-data-preparation-and-classifier-code", "kernel_id": "30936499"}, {"ref": "akshaymallipeddi/ensemble-gridsearch", "kernel_id": "30595159"}, {"ref": "toshimelonhead/spaceship-titanic", "kernel_id": "30466149"}, {"ref": "mschuer/spaceship-titanic-transported-prediciton", "kernel_id": "30504185"}, {"ref": "kanizz/titanic-experiment-ensembles", "kernel_id": "30348126"}, {"ref": "wwayne/lightgbm-eda-feature-engineering", "kernel_id": "30545348"}, {"ref": "lnxuan/spaceship-titanic-competition-xgboost-lgb-optuna", "kernel_id": "30922426"}, {"ref": "bahaakhaled97/space-titanic-classification", "kernel_id": "30101858"}, {"ref": "terpsmeta/decision-tree-random-forest-xbg-catboost", "kernel_id": "30238449"}, {"ref": "aangbaeck/webstep-goes-to-space", "kernel_id": "30553351"}, {"ref": "adnanshikh/spaceship-titanic-data-science-solutions", "kernel_id": "30867057"}, {"ref": "wanko123/lightgbm-baseline", "kernel_id": "30864045"}, {"ref": "wanko123/spaceshiptitanic-data-imputation", "kernel_id": "30911815"}, {"ref": "wanko123/spaceshiptitanic-eda", "kernel_id": "30671739"}, {"ref": "ssandorov/spaceship-titanic", "kernel_id": "30257663"}, {"ref": "shaurya112/sapceship-titanic", "kernel_id": "30498191"}, {"ref": "nooruddinqur/spaceship-titanic", "kernel_id": "30925190"}, {"ref": "simonpark333/1-spaceship-eda", "kernel_id": "30945707"}, {"ref": "hadasneuman/titanic-spaceship-2", "kernel_id": "30373929"}, {"ref": "loredanagheorghe/eda-imputation-pipeline-xgboost-shap", "kernel_id": "30711609"}, {"ref": "ezgitural/spaceship-titanic", "kernel_id": "30716232"}, {"ref": "saraswatitiwari/spaceship-titanic-2022", "kernel_id": "30572641"}, {"ref": "saraswatitiwari/tps-september-2022", "kernel_id": "30227773"}, {"ref": "saraswatitiwari/spaceship-titanic", "kernel_id": "30512081"}, {"ref": "ahmedelhawary/titanicspaceship-trial1", "kernel_id": "30242427"}, {"ref": "trashantrathore/suggestions-needed-important", "kernel_id": "30057576"}, {"ref": "trashantrathore/spaceship-titanic-using-voting-classifier", "kernel_id": "30177022"}, {"ref": "chukke/to-the-moon-and-not-back-eda", "kernel_id": "30389093"}, {"ref": "philippebillet/spaceship-titanic", "kernel_id": "30954342"}, {"ref": "johnnylerouge/spaceship-titanic-avec-tpot", "kernel_id": "30459511"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "enesblue/titanic-spacens", "kernel_id": "30462211"}, {"ref": "haiderjan/spaceship-titanic-end-to-end-submission", "kernel_id": "30049500"}, {"ref": "kgxiao/adversarial-verification", "kernel_id": "30410128"}, {"ref": "aman9anand/spaceship-titanic-with-various-model", "kernel_id": "30329887"}, {"ref": "edwinstanzah/spaceship-titanic-end-to-end-approach", "kernel_id": "30206253"}, {"ref": "alicejimmy/eecs01", "kernel_id": "30607795"}, {"ref": "victorbahlangene/spaceship-titanic", "kernel_id": "30156770"}, {"ref": "giulianocasatamarozi/spaceship-titanic-svm", "kernel_id": "30211531"}, {"ref": "costalferz/ds311-project", "kernel_id": "30020661"}, {"ref": "axess4649/beginner-s-submission-randomforest", "kernel_id": "30001564"}, {"ref": "berkanttuberkdemirta/spaceship-titanic-ensemble-learning", "kernel_id": "30518068"}, {"ref": "himanshuwagh/spaceship-titanic", "kernel_id": "30494890"}, {"ref": "alsayedhamdy/spaceship-titanic-xgboost", "kernel_id": "30452664"}, {"ref": "pasuvulasaikiran/titanic-spaceship-basic-catboost", "kernel_id": "30180596"}, {"ref": "pasuvulasaikiran/titanic-spaceship-feature-selection-catboost", "kernel_id": "30279366"}, {"ref": "davidleiradomaroto/spaceship-titanic-competition", "kernel_id": "30481629"}, {"ref": "neesham/nlp-for-beginners", "kernel_id": "30979766"}, {"ref": "syedasimalishah/result-comparison-of-3-data-cleaning-techniques", "kernel_id": "30973957"}, {"ref": "danb91/titanic-better-imputation-with-knn", "kernel_id": "30027221"}, {"ref": "bobsideshow/myspaceshiptitanic-2022-09-21", "kernel_id": "30579793"}, {"ref": "zahrafazel/spaceship-titanic-ensemble-learning", "kernel_id": "30569449"}, {"ref": "albertagzamov/spaceship-1-0-study-data-science", "kernel_id": "30647382"}, {"ref": "olgakimkist/eda-titanicspaceship-assignment-1", "kernel_id": "30968149"}, {"ref": "masatomurakawamm/transformer-vs-gmlp-with-without-self-attention", "kernel_id": "30280620"}, {"ref": "mahendrasinghrajpoot/modelling-experimentation-in-spaceship-titanic", "kernel_id": "30176407"}, {"ref": "aadarshbhalerao/spaceship-titanic-simplefied-ml-for-beginner", "kernel_id": "30315375"}, {"ref": "muhammadsameerr/feature-engineering-techniques", "kernel_id": "30960217"}, {"ref": "blarno/spaceship-titanic", "kernel_id": "30452258"}, {"ref": "adilmohammed/spaceship-transport-prediction", "kernel_id": "30680158"}, {"ref": "johnmcmorrow/space-titanic-notebook-jm", "kernel_id": "30910847"}, {"ref": "parthivakilesh/spaceship-titanic", "kernel_id": "30076125"}, {"ref": "alexandrepetit881234/fast-missing-values-filling-for-spaceship-titanic", "kernel_id": "30496451"}, {"ref": "michawiliski/spaceship-titanic-basic-solution", "kernel_id": "30000538"}, {"ref": "senaozb/spaceship-titanic-classification", "kernel_id": "30963644"}, {"ref": "stephenpetrides/spaceship-titanic-keras-nn", "kernel_id": "30000977"}, {"ref": "miteshsoni/ml-vs-dl-eda-spaceship-titanic-tuned-ann", "kernel_id": "30579442"}, {"ref": "aytanm/aytan-submission-1111", "kernel_id": "30398773"}, {"ref": "bhatnagardaksh/gradient-descent-from-scratch", "kernel_id": "30714002"}, {"ref": "essunn/assignment-02", "kernel_id": "30968152"}, {"ref": "parkjh123/notebook660fabcbb3", "kernel_id": "30845680"}, {"ref": "priscachang/spaceship-titanic-complete-solutions-0-80593", "kernel_id": "30009030"}, {"ref": "mahdeemushfiquekamal/my-first-keras-notebook-spaceship-titanic", "kernel_id": "30882652"}, {"ref": "singsinghi/spaceship-titanic", "kernel_id": "30677478"}, {"ref": "mahakmourya/titanic-spaceship", "kernel_id": "30138471"}, {"ref": "mrbisht/eda-on-spaceship-titanic", "kernel_id": "30212275"}, {"ref": "mrbisht/discretization-continuous-variables", "kernel_id": "30488090"}, {"ref": "mrbisht/encoding-categorical-variables-2", "kernel_id": "30392087"}, {"ref": "mrbisht/handling-missing-value-part-3", "kernel_id": "30336771"}, {"ref": "mrbisht/handling-missing-values-part-2", "kernel_id": "30326955"}, {"ref": "mrbisht/encoding-categorical-variables-1", "kernel_id": "30353852"}, {"ref": "mrbisht/handling-missing-values-part-1", "kernel_id": "30310798"}, {"ref": "sakshamparashar/simple-approach-to-spaceship-titanic-a-z", "kernel_id": "30500890"}, {"ref": "sakshamparashar/spaceship-titanic-eda-and-feature-engineering-1", "kernel_id": "30074483"}, {"ref": "sakshamparashar/spaceship-titanic-with-catboost-and-gridsearchcv", "kernel_id": "30681533"}, {"ref": "mohithsairamreddy/spaceship-titanic-desicion-tree", "kernel_id": "30932766"}, {"ref": "practicionerdl/spaceship-titanic-competition", "kernel_id": "30782151"}, {"ref": "kriggs/spaceship-titanic", "kernel_id": "30001698"}, {"ref": "hummmmm/hope-i-don-t-be-transported-to-another-dimension", "kernel_id": "30175007"}, {"ref": "tosinoluyemi/spaceship-titanic-analysis", "kernel_id": "30709397"}, {"ref": "olgaianina/spaceship-titanic-analyses", "kernel_id": "30125443"}, {"ref": "prasadposture121/randomforestclassifier", "kernel_id": "30902002"}, {"ref": "mikolajhojda/random-forest-classifier-randomizedsearchcv-rfe", "kernel_id": "30642022"}, {"ref": "khashayarrahimi94/no-ml-just-statistical-analysis", "kernel_id": "30637667"}, {"ref": "elvinafd/spaceship-titanic-eda-ust-ai-assignment-1", "kernel_id": "30940513"}, {"ref": "vishalgohel/a-basic-approach-to-spaceship-titanic", "kernel_id": "30101082"}, {"ref": "rohanmohanty/space-titanic-predictions", "kernel_id": "30829996"}, {"ref": "matthewkoltunov/spaceship-titanic-eda-fe-and-predicting", "kernel_id": "30281105"}, {"ref": "virajkunchala/spaceship-titanic-beginner-with-basic-ml-methods", "kernel_id": "30205000"}, {"ref": "saman1708/spaceship-titanic", "kernel_id": "30793939"}, {"ref": "abdullwahabalasiri/ttanicml", "kernel_id": "30578325"}, {"ref": "giacomocavalca/spaceship-titanic-eda-ml-ensemble-methods", "kernel_id": "30657998"}, {"ref": "gavinchen123/dl-01", "kernel_id": "30696114"}, {"ref": "vedumrajkar/spacehip-titanic-notebook", "kernel_id": "30844057"}, {"ref": "usamabalochhh/comprehensive-guide-to-solve-tabular-problem", "kernel_id": "30103711"}, {"ref": "gangminharrychoe/brain-stroke-eda-various-predictions-95", "kernel_id": "30137883"}, {"ref": "gangminharrychoe/spaceship-titanic-80-5-dt-xgb-lgbm-cboost", "kernel_id": "30119187"}, {"ref": "timurrashitov/easiest-neural-network-0-80874-132th-place", "kernel_id": "30106576"}, {"ref": "tmleyncodes/spaceship-titanic", "kernel_id": "30553009"}, {"ref": "ainsleydelrosario/spaceship-titanic-using-logistic-regression", "kernel_id": "30805770"}, {"ref": "dhiadah/titanic-spaceship", "kernel_id": "30498230"}, {"ref": "nobodymartin/practice-with-visualization-eda-xgb-in-ds", "kernel_id": "30727821"}, {"ref": "nobodymartin/lightgbm-explanation-practice-with-dataset", "kernel_id": "30786405"}, {"ref": "salsabillaheba/ai-eda-assignment", "kernel_id": "30942101"}, {"ref": "ashishmotwani/notebook24dada3355", "kernel_id": "30183942"}, {"ref": "kagevo/spaceship-titanic", "kernel_id": "30102288"}, {"ref": "magnussesodia/spaceship-titanic-0-80-xgboost-gridsearchcv", "kernel_id": "30825667"}, {"ref": "bansodesandeep/credit-card-default-prediction", "kernel_id": "30687381"}, {"ref": "bansodesandeep/netflix-movies-and-tv-shows-clustering", "kernel_id": "30641163"}, {"ref": "bansodesandeep/in-detail-naive-bayes-algorithm-iris-dataset", "kernel_id": "30401599"}, {"ref": "bansodesandeep/nlp-predicting-sentiment-of-covid-19-tweets", "kernel_id": "30444851"}, {"ref": "bansodesandeep/ml-advanced-ensemble-techniques-stacking-bagging", "kernel_id": "30041695"}, {"ref": "harbaldeepsidhu/my-first-notebook", "kernel_id": "30238413"}, {"ref": "harbaldeepsidhu/data-science-in-space", "kernel_id": "30926591"}, {"ref": "avinashrola/spaceship-titanic", "kernel_id": "30856968"}, {"ref": "clkmuhammed/spaceship-titanic-0-788-whichpassengerstransported", "kernel_id": "30887109"}, {"ref": "jacklacey/spaceship-titanic-predictions-80-38", "kernel_id": "30664886"}, {"ref": "aspartic/spaceship-titanic-by-aspartic-logistic-regression", "kernel_id": "30853383"}, {"ref": "aspartic/spaceship-titanic-by-aspartic-k-means", "kernel_id": "30853279"}, {"ref": "lgseungyoonyang/spaceship-titanic-final-submission", "kernel_id": "30068857"}, {"ref": "davideghilardiai/spaceship-titanic-with-logistic-regression-79-8", "kernel_id": "30180290"}, {"ref": "shehabemad2/spaceship-titanic-top-230-eda-pca-feature-eng", "kernel_id": "30217807"}, {"ref": "sachinjakasaniya/spaceship-titanic", "kernel_id": "30704743"}, {"ref": "sangjunmoon/space-titanic-with-gridsearch-and-xgboost-0-80", "kernel_id": "30537260"}, {"ref": "efaniorimutembo/spaceship-titanic", "kernel_id": "30554116"}, {"ref": "auxeno/optimal-pig-strategy-rl", "kernel_id": "30348050"}, {"ref": "shubhamchand51/ml-spaceship-titanic", "kernel_id": "30083523"}, {"ref": "jeff125/spaceship-titanic", "kernel_id": "30946892"}, {"ref": "qqqqqqas/spaceship-titanic", "kernel_id": "30773036"}, {"ref": "blalbora/linear-reg-beg", "kernel_id": "30158691"}, {"ref": "adajoy/notebookfb67b20fc4", "kernel_id": "30510123"}, {"ref": "caferkocamaz/3-different-model", "kernel_id": "30897495"}, {"ref": "darcyfeuz/spaceship-titanic", "kernel_id": "30108806"}, {"ref": "icfoer/spaceship-titanic-complete-eda", "kernel_id": "30731779"}, {"ref": "aieducation/spaceship-titanic-eda-lightgbm-score-80-0", "kernel_id": "30789933"}, {"ref": "rohitpawar1/spaceship-1st-trial", "kernel_id": "30700355"}, {"ref": "rajatkumawat124/spaceship-titanic-eda-practice", "kernel_id": "30667838"}, {"ref": "minji0612/spaceshiptitanic-eda-mj", "kernel_id": "30980059"}, {"ref": "gopinathdhara/spaceshiptitanic", "kernel_id": "30258700"}, {"ref": "sec98b4e/spaceship-voting", "kernel_id": "30294837"}, {"ref": "atefeh17/spaceship-titanic-eda-atefeh", "kernel_id": "30972157"}, {"ref": "rizkia14/a-complete-guide-to-k-nearest-neighbours", "kernel_id": "30958103"}, {"ref": "jihyunjeong123/homework-02", "kernel_id": "30971862"}, {"ref": "paulo100/tabtransformer-pytorch-dnn-with-attention-eda", "kernel_id": "30366554"}, {"ref": "kriothekaizoku/titanic-spaceship", "kernel_id": "30589847"}, {"ref": "rafaelmoraes004/spaceship-titanic-classification", "kernel_id": "30644841"}, {"ref": "cameronkaggle/visualise-rooms", "kernel_id": "30432525"}, {"ref": "zartabkhanam/rss2022508", "kernel_id": "30710303"}, {"ref": "rakhaasyrofi/spaceship-1-0-084812", "kernel_id": "30671693"}, {"ref": "stephanjaeckel/spaceship-titanic-step-by-step", "kernel_id": "30897406"}, {"ref": "chengmarco/comp4433-spaceshiptitanic-gone", "kernel_id": "30893849"}, {"ref": "databyjp/spaceship-titanic-full-workflow-0-8", "kernel_id": "30796239"}, {"ref": "glebmikh/ds55-pandas", "kernel_id": "31585560"}, {"ref": "jimliu/0-81669-misaelcribeiro-solution-modularity-fe", "kernel_id": "31406943"}, {"ref": "joeleyamu/spaceship-titanic-model-training", "kernel_id": "31846802"}, {"ref": "joeleyamu/spaceship-titanic-model-training-cv", "kernel_id": "31914487"}, {"ref": "joeleyamu/spaceship-titanic-eda", "kernel_id": "31280950"}, {"ref": "mamutti/spaceship-titanic", "kernel_id": "31751767"}, {"ref": "adavydenko/notebooke00694fcfb", "kernel_id": "31932995"}, {"ref": "floattheboat/spaceship-titanic-8057-accuracy", "kernel_id": "31974914"}, {"ref": "abdallahgaber/x2-spaceship-titanic-abdallahgaber", "kernel_id": "31166814"}, {"ref": "s903124/my-spaceship-titanic-80-5", "kernel_id": "31559916"}, {"ref": "riosma/lightgbm-and-catboostclassifier", "kernel_id": "31797050"}, {"ref": "kppooja96/space-shiprescue-regression-with-pyspark", "kernel_id": "31947779"}, {"ref": "sawantvishwajeet729/space-titanic", "kernel_id": "31666105"}, {"ref": "wanko123/spaceshiptitanic-ensemble", "kernel_id": "31113439"}, {"ref": "wanko123/lightgbm-with-imputed-data", "kernel_id": "31075513"}, {"ref": "suzansevat/spaceship-titanic-competition", "kernel_id": "31824999"}, {"ref": "rizkymerdietio/spaceship-titanic-with-r", "kernel_id": "31587002"}, {"ref": "dhruv1234/spaceship-titanic-top-10", "kernel_id": "31914073"}, {"ref": "simonpark333/2-spaceship-prediction", "kernel_id": "31913980"}, {"ref": "simonpark333/ai01-hw2-khpark-110222-submit", "kernel_id": "31922080"}, {"ref": "hadeux/spaceship-titanic-auto-ensemble-model", "kernel_id": "31860543"}, {"ref": "laurentnorbert/spaceship-titanic-late-classifiers-fusion-v2", "kernel_id": "31764143"}, {"ref": "utkusado/spaceship-titanic-transported-prediction", "kernel_id": "31588793"}, {"ref": "hizkiamanuel/221008-aihw01-spaceship-titanic-eda", "kernel_id": "31028338"}, {"ref": "hizkiamanuel/hw02-preprocessing-and-prediction", "kernel_id": "31497212"}, {"ref": "khaingthandarhninn/assignment1", "kernel_id": "31412610"}, {"ref": "khaingthandarhninn/assignment2", "kernel_id": "31521612"}, {"ref": "ckramer/spaceship-titanic-contest", "kernel_id": "31199065"}, {"ref": "ahsanulislam/analysis-of-data-beyond-earth", "kernel_id": "31029333"}, {"ref": "yassarmohammed/spaceship-titanic-top-12", "kernel_id": "31807853"}, {"ref": "masoumehkhalilzadeh/spaceship-titanic-challenge", "kernel_id": "31781749"}, {"ref": "gunholee940310/assignment-01-eda", "kernel_id": "31458463"}, {"ref": "enesztrk/spaceship-titanic-eda-27-different-models", "kernel_id": "31545499"}, {"ref": "lalalalex/spaceshiptitanic-featureengine-mlp", "kernel_id": "31335586"}, {"ref": "lalalalex/spaceshipttn-ver2", "kernel_id": "31212357"}, {"ref": "waferthin/spaceship-titanic-r-tidymodels", "kernel_id": "31907080"}, {"ref": "kullanutpadtaku/dsi311-spaceship", "kernel_id": "31831318"}, {"ref": "khatcharuenlek/project-dsi-311-spaceship-titanic", "kernel_id": "31370543"}, {"ref": "jiraputhguakul/normol", "kernel_id": "31826706"}, {"ref": "tevfkgul/spaceship-titanic-prediction", "kernel_id": "31929637"}, {"ref": "akisuika/spaceshiptitanic-1stsub", "kernel_id": "31172535"}, {"ref": "akisuika/spaceshiptitanic-2ndsub-addgroupid", "kernel_id": "31349190"}, {"ref": "newphutanate/spaceship-titanic-normal-earth", "kernel_id": "31823976"}, {"ref": "syedasimalishah/plotly-tutorial", "kernel_id": "31113333"}, {"ref": "syedasimalishah/scipy-summed-up", "kernel_id": "31207433"}, {"ref": "danb91/improved-full-in-depth-eda-rf", "kernel_id": "31751968"}, {"ref": "olgakimkist/assignment-3-olgakim", "kernel_id": "31648622"}, {"ref": "valeriipapin/spaceshiptitanic-classification", "kernel_id": "31925907"}, {"ref": "saifedd/data-exploration", "kernel_id": "31120871"}, {"ref": "saibala08/space-ship", "kernel_id": "31687509"}, {"ref": "dotdotart/notebook6fde28d299", "kernel_id": "31291685"}, {"ref": "muhammadsameerr/spaceship-titanic-eda", "kernel_id": "31749393"}, {"ref": "thitiyatantipisanu/best-spaceship-titanic", "kernel_id": "31760776"}, {"ref": "huhuyngun/spaceship-titanic-using-tabpfn", "kernel_id": "31686192"}, {"ref": "wanwera/maysangluisja", "kernel_id": "31807957"}, {"ref": "rawisarabundith/spcaeship-titanic-with-kosmos-team", "kernel_id": "31562872"}, {"ref": "lunakim21/spaceship-titanic-pycaret-o", "kernel_id": "31816477"}, {"ref": "supawadi/spaceship-titanic-pycaret", "kernel_id": "31793540"}, {"ref": "boomtheethawat/spaceship-titanic-cryospace-catboost", "kernel_id": "31317942"}, {"ref": "shreyasbulbule/spaceship-titanic", "kernel_id": "31409769"}, {"ref": "ecalai/space-titanic-starter", "kernel_id": "31835727"}, {"ref": "srishtimishra2512/spaceship-titanic-1", "kernel_id": "31281665"}, {"ref": "lanpingwu/notebook5c17d496fb", "kernel_id": "31287365"}, {"ref": "jiunaingyeap/spaceship-titanic-ja", "kernel_id": "31367532"}, {"ref": "lazer999/0-80-hyperparameter-tuning-with-pipelines", "kernel_id": "31339364"}, {"ref": "borisvalenzuela/notebook288ec2d8bd", "kernel_id": "31180349"}, {"ref": "shoostik/spaceship-titnanic", "kernel_id": "31416829"}, {"ref": "nikktrz/spaceship-titanic-lr", "kernel_id": "31070649"}, {"ref": "sirintrak/spaceship-titanic", "kernel_id": "31720026"}, {"ref": "haoranliang01/space-titanic-using-xgboost-and-gridsearch", "kernel_id": "31473915"}, {"ref": "atillazkaymak/spaceship-titanic-transportation-prediction", "kernel_id": "31980659"}, {"ref": "maheshnanavare/spaceship-titanic-xgboost-gridsearch", "kernel_id": "31794636"}, {"ref": "koustavin/spaceship-titanic-dtc-with-gridsearch", "kernel_id": "31657960"}, {"ref": "ashtcoder/titanic-dl", "kernel_id": "31371952"}, {"ref": "sadoubarry1/spaceship-titanic-80-003", "kernel_id": "31545258"}, {"ref": "billy108502541/spaceship", "kernel_id": "31316652"}, {"ref": "ludwigsaux/notebook-dl-loss", "kernel_id": "31767406"}, {"ref": "elvinafd/spaceship-titanic-preprocessing-training-ai-2", "kernel_id": "31761150"}, {"ref": "rudeparkeet/notebook4a17b0d0b0", "kernel_id": "31084724"}, {"ref": "kirillborovikov/cosmotitanik", "kernel_id": "31125694"}, {"ref": "nameissakthi/space-titanic-using-classification", "kernel_id": "31593177"}, {"ref": "nameissakthi/using-randomforest-for-spacetitanic-classification", "kernel_id": "31714693"}, {"ref": "nameissakthi/space-titanic-using-random-forest", "kernel_id": "31678420"}, {"ref": "nameissakthi/xgboost-spaceship-titanic", "kernel_id": "31995689"}, {"ref": "kokorokawamoto/spaceship-titanic-by-glm", "kernel_id": "31069221"}, {"ref": "minbro/eda-spaceship-titanic-kmh", "kernel_id": "31435607"}, {"ref": "minbro/ai02-spaceship-titanic-kmh", "kernel_id": "31899229"}, {"ref": "serdartafrali/spaceship-titanic-competition", "kernel_id": "31825008"}, {"ref": "fortunaterf/notebook92fab48ea9", "kernel_id": "31415493"}, {"ref": "declansaw/space-transportation-using-randomforest", "kernel_id": "31692125"}, {"ref": "emreyldzolu/spaceship-titanic-rf-gbm-xgb-lgbm", "kernel_id": "31601287"}, {"ref": "andresmontesdeoca/spaceship-titanic", "kernel_id": "31406344"}, {"ref": "abrorshopulatov/random-forest-with-sklearn", "kernel_id": "31383159"}, {"ref": "kirthikkiko/space-titanic", "kernel_id": "31684571"}, {"ref": "muhammadanas0716/spaceship-titanic-ml-model-eda", "kernel_id": "31795873"}, {"ref": "umitemreilhan/spaceship-titanic", "kernel_id": "31030849"}, {"ref": "shehualaba/spaceship-titanic-prediction", "kernel_id": "31911941"}, {"ref": "haticedikmen/spaceship-titanic", "kernel_id": "31631214"}, {"ref": "rafiaaa/spaceship-titanic-different-models-comparison", "kernel_id": "31562006"}, {"ref": "dickhanselryan/group-z-introduction-to-deep-learning", "kernel_id": "31038334"}, {"ref": "sueyavuz/spaceship-titanic-prediction", "kernel_id": "31292078"}, {"ref": "putawansunthara/space-ship-titatic-playing-with-fire", "kernel_id": "31832077"}, {"ref": "salsabillaheba/2-ai-eda-assignment", "kernel_id": "31517002"}, {"ref": "jasonlines/spaceship-titanic-80-pipeline-example", "kernel_id": "31117065"}, {"ref": "atchayvarma/spaceship-titanic", "kernel_id": "31288775"}, {"ref": "ivank778/notebook0a09af1727", "kernel_id": "31422586"}, {"ref": "jeremyverneuil/what-happend-to-passengers-of-the-spaceship", "kernel_id": "31740298"}, {"ref": "edacebeci/titanic-space-competition", "kernel_id": "31824648"}, {"ref": "devthumos/spaceship-titanic-79-912", "kernel_id": "31552690"}, {"ref": "devthumos/spaceship-titanic-eda", "kernel_id": "31841542"}, {"ref": "nutchacharoenwong/spaceship-titanic-catboost", "kernel_id": "31822556"}, {"ref": "nutchacharoenwong/spaceship-catboost", "kernel_id": "31831481"}, {"ref": "nutchacharoenwong/catboost", "kernel_id": "31529596"}, {"ref": "girishvutukuri/exercise-spaceship-titanic", "kernel_id": "31265808"}, {"ref": "hemanthy23/notebook0072f06e31", "kernel_id": "31680989"}, {"ref": "shivanigattigorla/notebook3", "kernel_id": "31918449"}, {"ref": "guillaumealbouy/spaceship-titanic-analysis-en", "kernel_id": "31417851"}, {"ref": "prasadshingare/spaceship-titanic-top-6", "kernel_id": "31561047"}, {"ref": "chosaeroyiiixd/dsi311-project-spaceshiptitanic", "kernel_id": "31684927"}, {"ref": "chosaeroyiiixd/dsi311-project", "kernel_id": "31829362"}, {"ref": "frankostyn/spaceship-titanic-new-round-of-eda", "kernel_id": "31941699"}, {"ref": "frankostyn/spaceship-titanic-imputing-with-mice-rfm-model", "kernel_id": "31726252"}, {"ref": "adwitiyarahman/adwitiyarahmanspacetitanic", "kernel_id": "31386990"}, {"ref": "utkarshsaxenadn/spaceship-titanic-data-processing-eda-guide", "kernel_id": "31032368"}, {"ref": "saitejabojja/notebookc6f36440d2", "kernel_id": "31372330"}, {"ref": "poomtr/spaceship-titanic-with-knn", "kernel_id": "31592078"}, {"ref": "ornanonginyawin/mai-dai-kor-mai-aow-laew", "kernel_id": "31799157"}, {"ref": "arnoldkakas/r-random-forest", "kernel_id": "31570190"}, {"ref": "suthatipchaithep/titanic-spaceship", "kernel_id": "31768347"}, {"ref": "rajkumarpandey02/spaceship-titanic-1", "kernel_id": "31538055"}, {"ref": "difkrit/dsi311-spaceship-titanic", "kernel_id": "31805803"}, {"ref": "zaldiego/spaceship-ensemble", "kernel_id": "31860539"}, {"ref": "suwaphitpanpetch/dsi-311-spaceship", "kernel_id": "31848550"}, {"ref": "illiatikhonov/aihw2it-79-658", "kernel_id": "31903028"}, {"ref": "illiatikhonov/ai-firstassignment-illia-tikhonov", "kernel_id": "31415955"}, {"ref": "davidhavrilenko/space-titanic", "kernel_id": "31181233"}, {"ref": "danielmilosic/milosic-secondassignment", "kernel_id": "31876472"}, {"ref": "danielmilosic/milosic-firstassignment", "kernel_id": "31423338"}, {"ref": "junaiddar97/20221019-eda-titianic-spaceship-ai03-junaid", "kernel_id": "31023257"}, {"ref": "sangwonparkoptics/spaceship-final-psw", "kernel_id": "31147311"}, {"ref": "daedongkim/ust-ai-assignment01", "kernel_id": "31448203"}, {"ref": "daedongkim/ust-ai-assignment-03", "kernel_id": "31912688"}, {"ref": "jekang/2022-11-02-ai-hw-2-jieun-kang", "kernel_id": "31119956"}, {"ref": "junseokim80/cross-validation-hw-3junseo-kim", "kernel_id": "31443656"}, {"ref": "junseokim80/final-project-junseo-kim", "kernel_id": "31921826"}, {"ref": "kangjueun/eda-spacetitanic", "kernel_id": "31316136"}, {"ref": "kangjueun/kje-spaceship", "kernel_id": "31754343"}, {"ref": "choijaehyeong/spaceship-titanic-homework", "kernel_id": "31680344"}, {"ref": "choijaehyeong/spaceship-titanic", "kernel_id": "31413426"}, {"ref": "chomunjeong/spaceship-titanic-eda-cross-validation-mmj", "kernel_id": "31366086"}, {"ref": "daahee/221019-ust-ai01-assn01-eda", "kernel_id": "31414056"}, {"ref": "daahee/221102-ust-ai01-assn02-datapreprocessing", "kernel_id": "31855102"}, {"ref": "tewuhibositotaw/spaceship-titanic-dataset-preprocessing-and-train", "kernel_id": "31797481"}, {"ref": "minji0612/spaceshiptitanic-eda-mj-02", "kernel_id": "31884237"}, {"ref": "hellojsy/sp-titanic", "kernel_id": "31088059"}, {"ref": "narinmue/kaggle-spaceship-titanic", "kernel_id": "31830883"}, {"ref": "atefeh17/sps-titanic-imputation-preprocessign-ml-atefeh", "kernel_id": "31790637"}, {"ref": "rlawjddls/assignment1", "kernel_id": "31447941"}, {"ref": "rlawjddls/assignment-2", "kernel_id": "31928765"}, {"ref": "batoolr/assignment-1-spaceship-titanic", "kernel_id": "31930523"}, {"ref": "madeehaashfaque/assign-madeeha-04old", "kernel_id": "31368419"}, {"ref": "klodha/assignment-01", "kernel_id": "31133554"}, {"ref": "klodha/assignment-02", "kernel_id": "31713716"}, {"ref": "sukikhyun/spaceship-titanic", "kernel_id": "31932343"}, {"ref": "sukikhyun/assignment01-kr-spaceship-titanic-eda", "kernel_id": "31000130"}, {"ref": "parkgh97/project-2-parkgh", "kernel_id": "31339645"}, {"ref": "poloarol/lightgbm-featureengineering-spaceship-titanic", "kernel_id": "31043320"}, {"ref": "ofjeong/assignment-01-eda-kyj", "kernel_id": "31428417"}, {"ref": "tiansztianszs/spaceship-titanic-learning", "kernel_id": "31277100"}, {"ref": "phattharakit/spaceship-titanic", "kernel_id": "31093595"}, {"ref": "dengyo/space-titanic-logistic-regression-prediction", "kernel_id": "31333930"}, {"ref": "felipeeanjos/spaceship", "kernel_id": "31288544"}, {"ref": "mariomalev/top-30-with-lgbm", "kernel_id": "31768684"}, {"ref": "mixmore/prediction-and-analysis-spaceship-titanic", "kernel_id": "31914478"}, {"ref": "hzahidtufail/spaceship-titanic-eda", "kernel_id": "31056911"}, {"ref": "hzahidtufail/spaceship-titanic-prediction", "kernel_id": "31830898"}, {"ref": "jaredp327/spaceship-titanic-first-attempt", "kernel_id": "31834103"}, {"ref": "sratra/notebooka3e0ea5f64", "kernel_id": "31299619"}, {"ref": "grvychuck/spaceship-titanic-randomforest", "kernel_id": "31427923"}, {"ref": "ordorr/dsi311-report", "kernel_id": "31827051"}, {"ref": "marumm/notebook5304dadfb7", "kernel_id": "31572727"}, {"ref": "hailugud/logistic-regression-for-spaceship-titanic-project", "kernel_id": "31335425"}, {"ref": "naokinoguchiwww/space-tianic-noguchi", "kernel_id": "31514223"}, {"ref": "atommi/spaceship-titanic-group-angle-baby", "kernel_id": "31777579"}, {"ref": "natthaphongkalapuak/nnnnnnn", "kernel_id": "31610820"}, {"ref": "sitthiphakyothi/space-titanic-th", "kernel_id": "31549130"}, {"ref": "jbfriedli/space-titanic-logistic-regression-from-scratch", "kernel_id": "31691951"}, {"ref": "runoharris/spaceship-titanic-lr-svm-neural-net", "kernel_id": "31564699"}, {"ref": "lekhaanand7usf/project", "kernel_id": "31838166"}, {"ref": "shengtai582/cross-validation-spaceship-titanic", "kernel_id": "31769662"}, {"ref": "batturm/spaceship-titanic", "kernel_id": "31889724"}, {"ref": "jjkaggle666/spaceship-titanic-cx", "kernel_id": "31971205"}, {"ref": "hexenmeiser/spaceship-titanic-eda-80-accuracy", "kernel_id": "32301886"}, {"ref": "cv13j0/spaceship-titanic-higher-score-endeavor", "kernel_id": "32982364"}, {"ref": "paviiiii/spaceship-titanic-tree-revisit", "kernel_id": "32867736"}, {"ref": "gopi1035/titanicspaceship", "kernel_id": "32851520"}, {"ref": "niedermayer/spaceship-simple-way-to-score-more-than-0-8", "kernel_id": "32500812"}, {"ref": "selcukcan/ml-preprocessing-using-pipeline", "kernel_id": "32299890"}, {"ref": "omerbolukbasi/preprocessing-xgboost", "kernel_id": "32251371"}, {"ref": "ssarkar445/flying-machine-fastai-simple-and-effective", "kernel_id": "32688896"}, {"ref": "ssarkar445/flying-machine-kfold-ensemble-starter-80-accuracy", "kernel_id": "32562548"}, {"ref": "jayshankarbhatt/svm-and-xgboost", "kernel_id": "32222130"}, {"ref": "nukalavijaya/spacetitanic-predict-logisticregression", "kernel_id": "32095886"}, {"ref": "vibe95/spaceship-titanic", "kernel_id": "32216617"}, {"ref": "muhammeterem/spaceship-titanic", "kernel_id": "32139312"}, {"ref": "yunusserhat/spaceship-titanic-base-model-ml-fonksiyonlar", "kernel_id": "32479819"}, {"ref": "ofirmazor/spaceshiptitanic-features-and-boosters", "kernel_id": "32972908"}, {"ref": "nivyasreeavula/titanic-spaceship-prediction-based-on-linear-model", "kernel_id": "32268407"}, {"ref": "simonpark333/ai01-hw3-khpark-111522-submit", "kernel_id": "32189781"}, {"ref": "hadeux/simple-xgboost-baseline", "kernel_id": "32025847"}, {"ref": "hadeux/simple-lightgbm-baseline", "kernel_id": "32356965"}, {"ref": "gfoucart/lightgbm-model-80-accuracy", "kernel_id": "32054281"}, {"ref": "aurelienquillet/tf-titanic-studi-live", "kernel_id": "32599424"}, {"ref": "rolmez/ensemble-lightgbm-catboost", "kernel_id": "32698558"}, {"ref": "akshaydureja/logistic-regression-with-80-accuracy-on-test-data", "kernel_id": "32595313"}, {"ref": "hizkiamanuel/hw03-cross-validation", "kernel_id": "32356964"}, {"ref": "khaingthandarhninn/assignment3", "kernel_id": "32217492"}, {"ref": "anshriyal/transportation-classifier-attempt-1", "kernel_id": "32649834"}, {"ref": "joshknize/spaceship-titanic-caret-in-r-0-80", "kernel_id": "32891686"}, {"ref": "bhavinmoriya/statistical-testing-for-dummies", "kernel_id": "32651212"}, {"ref": "jadeshin/jay-spaceshiptitanic", "kernel_id": "32964114"}, {"ref": "bhardwajamiriyala/imputation-and-lgbm-classification", "kernel_id": "32339512"}, {"ref": "joantanpp/spaceship-titanic-challenge-joan", "kernel_id": "32866360"}, {"ref": "shreyasbinhal/classification-with-xgboost", "kernel_id": "32297032"}, {"ref": "nnsssadithya/space-nn", "kernel_id": "32689540"}, {"ref": "ahmetarifturkmen/ensemble-is-all-you-need", "kernel_id": "32478162"}, {"ref": "conradtsmith/ml-competition-2", "kernel_id": "32745726"}, {"ref": "sallyzhuang/code-share", "kernel_id": "32779463"}, {"ref": "toyanu/spaceship-titanic-80-5-eda-fe-tuning", "kernel_id": "32284424"}, {"ref": "cyrilbourgeois/part-4-0-83-modelizations-rf-lr", "kernel_id": "32140893"}, {"ref": "cyrilbourgeois/part-3-dataprepa-firstmodelization", "kernel_id": "32014132"}, {"ref": "cyrilbourgeois/part-2-dataprepa-nans-prediction", "kernel_id": "32002538"}, {"ref": "shivamshinde123/airship-titanic-3-sklearn-custom-pipeline-ann", "kernel_id": "32646723"}, {"ref": "shivamshinde123/airship-titanic-2", "kernel_id": "32644893"}, {"ref": "shivamshinde123/spaceship-titanic-1", "kernel_id": "32641379"}, {"ref": "canozden/spaceship-titanic-catboost-notebook", "kernel_id": "32521693"}, {"ref": "jhansiravipati/spaceship-titanic-b851c7", "kernel_id": "32777151"}, {"ref": "keerthijuttu/spaceship", "kernel_id": "32289581"}, {"ref": "lilac07/bagging-randomforest-78-87", "kernel_id": "32911319"}, {"ref": "sardorabdirayimov/logistic-regression-knn-space-titanic-disaste", "kernel_id": "32633464"}, {"ref": "mustafamu/spaceship-titanic-using-cnn-model", "kernel_id": "32574382"}, {"ref": "yanisadel/notebookc9b5a3a032", "kernel_id": "32326262"}, {"ref": "jorgemateos/the-3012-james-cameron-random-forest", "kernel_id": "32395032"}, {"ref": "jomenik/spacetitanic", "kernel_id": "32601180"}, {"ref": "pranayrishith16/spaceship-titanic-notebook-acheived-80-accuracy", "kernel_id": "32901105"}, {"ref": "sachinbagale/spaceship-titanic", "kernel_id": "32921174"}, {"ref": "andreafranceschini/a-space-oddity-well-explained-approach-80-6", "kernel_id": "32740204"}, {"ref": "nurkorkmazz/notebook027b383258", "kernel_id": "32208252"}, {"ref": "gayu14/titanic-spaceship", "kernel_id": "32597043"}, {"ref": "lluang/eda-modeling", "kernel_id": "32022728"}, {"ref": "pniaz20/spaceship-titanic-v001", "kernel_id": "32200039"}, {"ref": "jayasreekandregula/space-titanic-with-gradient-boost-algorithm", "kernel_id": "32957042"}, {"ref": "nikil42516/space-titanic-classification-with-6-models", "kernel_id": "32195935"}, {"ref": "essunn/assignment03", "kernel_id": "32351865"}, {"ref": "konathana/spaceship-titanic-missing-values-strategy", "kernel_id": "32300297"}, {"ref": "stbnlen/space-titanic", "kernel_id": "32401890"}, {"ref": "yashsrivastava51213/spaceship-titanic-histgradientboosting", "kernel_id": "32356075"}, {"ref": "sakshamparashar/spaceship-titanic-eda-catboost-and-gridsearchcv", "kernel_id": "32062223"}, {"ref": "penggnep/spaceship-titanic-competion", "kernel_id": "32960345"}, {"ref": "dannybalint/space-titanik-catboost", "kernel_id": "32630628"}, {"ref": "anthonymoorecap4611/spaceship-titanic", "kernel_id": "32716086"}, {"ref": "dager234/ensembled-learning-approach", "kernel_id": "32368090"}, {"ref": "gangireddyjithendra/space-ship-titanic", "kernel_id": "32214325"}, {"ref": "ismaelalpaso/eda-spaceship-titanic", "kernel_id": "32327035"}, {"ref": "boraculhan/spaceship-titanic-0-79-accuracy", "kernel_id": "32319386"}, {"ref": "gopipriyanka/ml-competition-2-spaceship-titanic", "kernel_id": "32744092"}, {"ref": "emirfarukerman/0-80593-accuracy-spaceship-titanic", "kernel_id": "32886966"}, {"ref": "roriebalala22/spaceship-titanic-submission-lgb", "kernel_id": "32022489"}, {"ref": "tusharsingh1411/spaceship-titanic-prediction", "kernel_id": "32476665"}, {"ref": "ludwigsaux/spaceship", "kernel_id": "32397606"}, {"ref": "semenvasilev/classification-coursera", "kernel_id": "32391417"}, {"ref": "elvinafd/spaceship-titanic-cross-validation-ai-3", "kernel_id": "32289032"}, {"ref": "elvinafd/classification-randomforest-etc-optuna-ustai-final", "kernel_id": "32596889"}, {"ref": "ahmedgadoo/spaceship-titanic-pipeline-nlp-accuracy-81", "kernel_id": "32742693"}, {"ref": "kaikaizxc/spaceship-titanic-first-attempt", "kernel_id": "32665590"}, {"ref": "weiwsc/spaceship-tinanic-modeling-with-catboost", "kernel_id": "32874865"}, {"ref": "shiv7080/space-titanic-logitcv", "kernel_id": "32566563"}, {"ref": "alijanloo/spaceship-titanic", "kernel_id": "32095322"}, {"ref": "nameissakthi/xgboost-spaceship-titanic-1", "kernel_id": "32275075"}, {"ref": "saranyasudhakar/spaceship-titanic", "kernel_id": "32837893"}, {"ref": "minbro/ai03-spaceship-titanic-kmh", "kernel_id": "32303242"}, {"ref": "duosun123/spaceship-titanic-demo1", "kernel_id": "32325604"}, {"ref": "finnheaslop/space-titanic-easy-for-beginners", "kernel_id": "32073376"}, {"ref": "shilongzhuang/statistical-testing-guide-for-beginners", "kernel_id": "32617182"}, {"ref": "devharal/spaceship", "kernel_id": "32571248"}, {"ref": "marcinrutecki/clustering-methods-comprehensive-study", "kernel_id": "32600417"}, {"ref": "alvinchowcm/catboost-classifier", "kernel_id": "32600128"}, {"ref": "karakoza22/spaceship-titanic", "kernel_id": "32261504"}, {"ref": "salsabillaheba/3-cross-validation-ai-assignment", "kernel_id": "32302606"}, {"ref": "shabareesharyan/space-titanic-problem-w-deep-learning-beginner", "kernel_id": "32070205"}, {"ref": "arslanemed/ici-a-navigue", "kernel_id": "32473037"}, {"ref": "ahmedashrafahmed/spaceship-titanic", "kernel_id": "32244349"}, {"ref": "kosedogus0/dl-with-chaotic-preprocessing", "kernel_id": "32489553"}, {"ref": "javiertenorio75/spacetitanic-random-forest", "kernel_id": "32139511"}, {"ref": "badice/spaceship-ensemble-2nd", "kernel_id": "32210063"}, {"ref": "mertkra/very-simple-80-accuracy-solution", "kernel_id": "32652459"}, {"ref": "ahmeturunveren/simple-xgboost-baseline", "kernel_id": "32332427"}, {"ref": "prem113/spaceship-titanic", "kernel_id": "32046002"}, {"ref": "raninikki/spaceship-titanic-using-logistic-regression", "kernel_id": "32049937"}, {"ref": "raninikki/spaceship-titanic-using-knn", "kernel_id": "32050804"}, {"ref": "raninikki/spaceship-titanic-using-random-forest", "kernel_id": "32051128"}, {"ref": "selvin3/spaceshiptitanic-beginners-score-0-79", "kernel_id": "32558683"}, {"ref": "illiatikhonov/aihw3it-top-5", "kernel_id": "32332499"}, {"ref": "ruslanmol/find-lost-data-nan", "kernel_id": "32909060"}, {"ref": "daedongkim/ust-assignment-03-ai-class", "kernel_id": "32362446"}, {"ref": "jekang/2022-11-16-ai-hw-3-jieun-kang", "kernel_id": "32347507"}, {"ref": "kangjueun/kje-final-project", "kernel_id": "32316285"}, {"ref": "chomunjeong/spaceship-titanic-cross-validation-mmj", "kernel_id": "32073122"}, {"ref": "daahee/221115-ust-ai01-assn03-crossvalidation", "kernel_id": "32354936"}, {"ref": "tewuhibositotaw/spaceship-titanic-training-cross-validation", "kernel_id": "32292902"}, {"ref": "minji0612/spaceshiptitanic-eda-mj-03", "kernel_id": "32307790"}, {"ref": "kevineffendy/catboost-spaceship-titanic", "kernel_id": "32739424"}, {"ref": "christopherhinkle/spaceship-warmup", "kernel_id": "32755922"}, {"ref": "atefeh17/space-titanic-with-cross-validation-atefeh", "kernel_id": "32251893"}, {"ref": "nikhithakonda/spaceship-titanic-top-10-0-80617-db7e76", "kernel_id": "32778341"}, {"ref": "jiteshparapoil/notebook", "kernel_id": "32775507"}, {"ref": "jihyunjeong123/homework-03", "kernel_id": "32277251"}, {"ref": "rlawjddls/assignment-3-ai", "kernel_id": "32357134"}, {"ref": "klodha/assignment-03", "kernel_id": "32279450"}, {"ref": "sukikhyun/assignment03-kr-spaceship-titanic-cross-valid", "kernel_id": "32309893"}, {"ref": "parkgh97/project5-parkgh", "kernel_id": "32346255"}, {"ref": "dickyfebri/final-project-dicky-febri-primadhani", "kernel_id": "32737671"}, {"ref": "boraacarakgn/spaceship-titanic-0-79144-score-solution", "kernel_id": "32967829"}, {"ref": "terryyue/spacetitanic", "kernel_id": "32356753"}, {"ref": "terryyue/data-analysis-tutorial-for-beginners", "kernel_id": "32634052"}, {"ref": "ofjeong/3-kyj", "kernel_id": "32285351"}, {"ref": "alexacassidyy/notebookb377adba58", "kernel_id": "32819940"}, {"ref": "mahrukhs/spaceship-titanic-submission-1", "kernel_id": "32438869"}, {"ref": "hzahidtufail/spaceship-titanic-prediction-crossvalidation", "kernel_id": "32144574"}, {"ref": "saumyadeepm/analysis-on-spaceship-titanic-dataset", "kernel_id": "32127859"}, {"ref": "thibautjuill/spaceship-titanic", "kernel_id": "32129747"}, {"ref": "briantse1235/groups2", "kernel_id": "32231152"}, {"ref": "aziztaktak/spaceship-titanic", "kernel_id": "32502801"}, {"ref": "farzibuilder/spaceship-nn", "kernel_id": "32797412"}, {"ref": "guilhermesuzuki/spaceship-titanic-prediction", "kernel_id": "32143837"}, {"ref": "ashbabkhan/spaceship-prediction-using-logistic-regression", "kernel_id": "32160480"}, {"ref": "bencheickkanazoe/spaceship-titans-ben-cheick", "kernel_id": "32459758"}, {"ref": "godbye/spaceship-titanic-with-deep-learning", "kernel_id": "32202116"}, {"ref": "gabrielcamps/spaceship-titanic-fastai-ensembles-and-r-forest", "kernel_id": "32140008"}, {"ref": "romrod/spaceship-titanic", "kernel_id": "32572219"}, {"ref": "pedro988/spaceship-titanic-logistic-regression", "kernel_id": "32662629"}, {"ref": "elenatsibulskaya/spaceship-titanic-solution-with-soft-voting", "kernel_id": "32401317"}, {"ref": "leonidkonovalov/notebook3261b5fc13", "kernel_id": "32846769"}, {"ref": "lasisiromoke/spaceship-titanic", "kernel_id": "32175455"}, {"ref": "yusufakn/notebook61e17f5015", "kernel_id": "32265540"}, {"ref": "kndrakh/spaceship-titanic", "kernel_id": "32675906"}, {"ref": "irda22/spacehip-titanic-blending-nn-outputs", "kernel_id": "32407815"}, {"ref": "irda22/spacehip-titanic-neural-network", "kernel_id": "32397241"}, {"ref": "tysebolam/tyse-randomforest", "kernel_id": "32034463"}, {"ref": "rumeysasalam/spaceship-analytics", "kernel_id": "32138458"}, {"ref": "muhammedenisen/titanicnotebook", "kernel_id": "32138113"}, {"ref": "faptimus420/spaceship-titanic-network", "kernel_id": "32815658"}, {"ref": "hiimanshuagarwal/spaceship-titanic", "kernel_id": "32311714"}, {"ref": "dudberoll/notebook12297baac4", "kernel_id": "32156488"}, {"ref": "alpdemirel/space-titanic-challange-notebook", "kernel_id": "32161939"}, {"ref": "fengweipeng/spaceship", "kernel_id": "32807411"}, {"ref": "filaliayoub/spaceship-fillali-ayoub-seatech-iris", "kernel_id": "32614579"}, {"ref": "russellhizon/spaceship-titanic-competition", "kernel_id": "32483018"}, {"ref": "russellhizon/dt-with-tuning-spaceship-titanic-competition", "kernel_id": "32650407"}, {"ref": "farhanahmadi/spaceshipdescisiontree", "kernel_id": "32381722"}, {"ref": "iamnotashutosh/sklearn-pipeline-torch-dnn-model", "kernel_id": "32371582"}, {"ref": "onyekaonwudinjor/spaceship-titanic-notebook", "kernel_id": "32890986"}, {"ref": "ljyoversmile0316/notebook-ml20301008", "kernel_id": "32587974"}, {"ref": "chiyuanjing/spaceship-titanic-svm-xgboost-and-decisiontree", "kernel_id": "32586683"}, {"ref": "juanmad/2912-a-spaceship-titanic-oddysey", "kernel_id": "32872859"}, {"ref": "zmurad/spaceship-prediction-accuracy-0-794", "kernel_id": "32829530"}, {"ref": "gungunxiao/spaceship-titanic-xf", "kernel_id": "32839086"}, {"ref": "sergeybasof/notebooka750d80768", "kernel_id": "32743224"}, {"ref": "leeerll/leeer-titanic", "kernel_id": "32780765"}, {"ref": "setumoraphelakamatlou/xgboost-hyperopt-spaceship-classification", "kernel_id": "33987255"}, {"ref": "mikedelong/gbm-classifier-score-0-8", "kernel_id": "33298688"}, {"ref": "crchanda98/spaceship-titanic-f1-80-stratifiedsplit-with-rf", "kernel_id": "33055239"}, {"ref": "rahuketu86/spaceship-titanic-with-aiking", "kernel_id": "33402623"}, {"ref": "paviiiii/spaceship-titanic-randomforest", "kernel_id": "33277825"}, {"ref": "ankitajaiwar/space-titanic", "kernel_id": "33528304"}, {"ref": "joeleyamu/spaceship-titanic-model-training-optuna", "kernel_id": "33719752"}, {"ref": "yamsalm/fork-of-the-most-basic-with-optuna", "kernel_id": "33064168"}, {"ref": "yamsalm/the-most-basic-sk-learn", "kernel_id": "33058668"}, {"ref": "yamsalm/the-most-basic-with-optuna", "kernel_id": "33059965"}, {"ref": "rajeevkrishnanv/spaceship-titanic-79-accuracy-xgboost", "kernel_id": "33789243"}, {"ref": "drnyuvaraj/boosting-for-spaceship", "kernel_id": "33248873"}, {"ref": "morenoj8/proyecto-miner-a-de-datos", "kernel_id": "33672119"}, {"ref": "jacoporepossi/tutorial-pytorch-tensors-autograd-examples", "kernel_id": "33781180"}, {"ref": "sivarazadi/simple-predict-transport-1st-competition", "kernel_id": "33859932"}, {"ref": "leoniedong/machine-learning-and-model-comparison-in-python", "kernel_id": "33770420"}, {"ref": "hshenriquez/spaceship-titanic-challenge-score-0-805", "kernel_id": "33767641"}, {"ref": "unstoppable31/spaceship-competition", "kernel_id": "33354569"}, {"ref": "juhotuho10/titanic-spaceship", "kernel_id": "33810197"}, {"ref": "cid007/spaceship-titanic-different-cv-techniques", "kernel_id": "33187373"}, {"ref": "elky96/spaceship-titanic-extensive-eda-xgboost", "kernel_id": "33329164"}, {"ref": "simonpark333/ai01-hw5-st-khpark-122922-submit-ipynb", "kernel_id": "33652036"}, {"ref": "auhide/spaceship-titanic-decision-trees-with-maths", "kernel_id": "33930475"}, {"ref": "kkhandekar/spaceship-titanic-transported-or-not-using-tf", "kernel_id": "33475751"}, {"ref": "danielfourie/spaceship-titanic-xgboost-ann-logreg-80", "kernel_id": "33236294"}, {"ref": "erenakbulut/super-simple-eda-with-pandasprofiling-xgboost", "kernel_id": "33101438"}, {"ref": "lavagod/spaceship-titanic-minimum-code-0-7725", "kernel_id": "33331073"}, {"ref": "lavagod/spaceship-titanic-pipeline-code-0-78185", "kernel_id": "33838259"}, {"ref": "pabloserranomolinero/spaceshift-titanic-challenge-0-798-accuracy", "kernel_id": "33211324"}, {"ref": "normangitosh/spaceship-titanic-disaster-random-forestclassifier", "kernel_id": "33379188"}, {"ref": "mohammedabuatir/spaceship-titanic-solutions", "kernel_id": "33125143"}, {"ref": "alonmoses/spaceship-titanic-data-exploration", "kernel_id": "33743657"}, {"ref": "kislyakov/notebook52bc6056c0", "kernel_id": "33589535"}, {"ref": "akkapopprasompon/spaceship-titanic", "kernel_id": "33778466"}, {"ref": "hizkiamanuel/hw05-advanced-classification", "kernel_id": "33630817"}, {"ref": "khaingthandarhninn/final-project", "kernel_id": "33624888"}, {"ref": "waadsubber/classification-with-score-80", "kernel_id": "33038228"}, {"ref": "ivootero/spaceship-titanic-with-simple-randomforest-model", "kernel_id": "33497063"}, {"ref": "ayushpatel111/spacetime-titanic-random-forest", "kernel_id": "33036996"}, {"ref": "hardikmirani/data-cleaning-of-spaceship-data", "kernel_id": "33436757"}, {"ref": "oswaldomezaleon/random-forest-classification", "kernel_id": "33531828"}, {"ref": "djwerterrichmond/pipeline-for-project", "kernel_id": "33712470"}, {"ref": "natchimuthun/titanic-space-ship-competion-randomforest", "kernel_id": "33366773"}, {"ref": "kaushalkrishna2000/titanic-notebook", "kernel_id": "33608778"}, {"ref": "behroozsohrabi/spaceship-titanic-data-analysis-and-prediction", "kernel_id": "33748943"}, {"ref": "kimmik123/all-about-backpropagation", "kernel_id": "33519915"}, {"ref": "shivamshinde123/airship-titanic-3", "kernel_id": "33167317"}, {"ref": "shivamshinde123/airship-titanic-4", "kernel_id": "33229643"}, {"ref": "bennyfung/titanic-xgboost-0-8", "kernel_id": "33030538"}, {"ref": "nithinreddyvangala/titanic-spaceship-prediction", "kernel_id": "33303085"}, {"ref": "noir3747/notebook5b034303ea", "kernel_id": "33537007"}, {"ref": "olgakimkist/assignment-3-edit-olgakim", "kernel_id": "33588369"}, {"ref": "olgakimkist/assignment-2-olgakim", "kernel_id": "33583280"}, {"ref": "olgakimkist/assignment-2", "kernel_id": "33560717"}, {"ref": "olgakimkist/final-project-classification", "kernel_id": "33651442"}, {"ref": "clownprince303/spaceship-competition", "kernel_id": "33830148"}, {"ref": "numanynklr/space-titanic-eda-missing-value-imputation", "kernel_id": "33759086"}, {"ref": "amalsalilan/predicting-the-fate-of-spaceship-titanic-passenger", "kernel_id": "33510517"}, {"ref": "coltoneastland/space-titanic-soft-voting", "kernel_id": "33304273"}, {"ref": "samvsam/spaceship-titanic-w-randomforestclassifier", "kernel_id": "33692667"}, {"ref": "ayhembouabid/spaceship-titanic-iteration-1", "kernel_id": "33794241"}, {"ref": "grigorytekuchev/spaceship-titanic", "kernel_id": "33431420"}, {"ref": "chunghaoleeyginger/spaceship-titanic", "kernel_id": "33444053"}, {"ref": "essunn/final-ai-spaceship-titanic-yun", "kernel_id": "33631542"}, {"ref": "priyanshubanerjee/kaggle-space-ship-using-ml-and-dl", "kernel_id": "33436399"}, {"ref": "vladislavshevchenko/spaceship-titanic-pytorch-model-with-80", "kernel_id": "33427286"}, {"ref": "serdargundogdu/spaceship-titanic-a-complete-guide", "kernel_id": "33936424"}, {"ref": "solasky/short-simple-baseline", "kernel_id": "33625011"}, {"ref": "dsfelix/spaceship-titanic-competition", "kernel_id": "33214143"}, {"ref": "abhishekbendre/titanicspaceship", "kernel_id": "33955988"}, {"ref": "vedhapriyan/vedha-ssid-2048249", "kernel_id": "33106495"}, {"ref": "rolerik/ss-titanic-experiment", "kernel_id": "33242771"}, {"ref": "rolerik/ss-titanic-exploration", "kernel_id": "33194089"}, {"ref": "carlosgaravatti/neural-network-classification", "kernel_id": "33590269"}, {"ref": "hrishikeshyadav/let-s-explore-sweetviz", "kernel_id": "33993116"}, {"ref": "aayushagrawal1/regression-and-cnn-titanic", "kernel_id": "33129298"}, {"ref": "semenvasilev/clustering-coursera", "kernel_id": "33513465"}, {"ref": "avneeshjagwani/random-forest-regression", "kernel_id": "33585765"}, {"ref": "chirag888/space-ship-titanic-using-svm", "kernel_id": "33307841"}, {"ref": "shantanusinghverma/titanic-spaceship-eda-and-prediction-ssv", "kernel_id": "33527452"}, {"ref": "sanandachowdhury/spaceship", "kernel_id": "33196048"}, {"ref": "weiwsc/spaceship-titanic-modeling-with-keras", "kernel_id": "33123740"}, {"ref": "shiv7080/spaship-titanic-pipeline", "kernel_id": "33125560"}, {"ref": "baekchaeeun/spaceship-titanic-data-preprocessing-1", "kernel_id": "33970092"}, {"ref": "artificialstupiditea/space-titanic", "kernel_id": "33687849"}, {"ref": "bianduidui/notebookdf997afd22", "kernel_id": "33170742"}, {"ref": "qiaoningchen/spaceship-titanic-competition-gradient-boosting", "kernel_id": "33386500"}, {"ref": "qiaoningchen/spaceship-titanic-pipeline", "kernel_id": "33461480"}, {"ref": "qiaoningchen/spaceship-titanic-eda", "kernel_id": "33491045"}, {"ref": "chaseelander/spaceship-titanic-cnn-randforest-bagging", "kernel_id": "33125126"}, {"ref": "hactac9i/spaceshiptitanic-by-hactac9i", "kernel_id": "33639800"}, {"ref": "minbro/ai-final-spaceship-titanic-kmh", "kernel_id": "33735689"}, {"ref": "samra22/titanicspaceshiptransported", "kernel_id": "33996707"}, {"ref": "ankitmodak/spaceship-titanic-classification", "kernel_id": "33250938"}, {"ref": "jonathansocoy/spaceship-titanic", "kernel_id": "33668091"}, {"ref": "krautsalat/spaceship-titanic", "kernel_id": "33408830"}, {"ref": "ehtck13/spaceship-titanic-competition", "kernel_id": "33404644"}, {"ref": "sandhyasolanki/spaceship-titanic-prediction", "kernel_id": "33658476"}, {"ref": "amirrezamasoumi/80-102-accuracy-score-in-spaceship-with-mlp", "kernel_id": "33812246"}, {"ref": "alinaageichik/basic-eda-finetuning-of-ml-models-and-ensemble", "kernel_id": "33438941"}, {"ref": "marcinrutecki/multicollinearity-detection-and-remedies", "kernel_id": "33059688"}, {"ref": "janjibdev/janjib-spaceship-titanic", "kernel_id": "33615699"}, {"ref": "romanusachev/spaceship-titanic-v2", "kernel_id": "33032305"}, {"ref": "moniquechan/notebook15ebd11374", "kernel_id": "33307577"}, {"ref": "talchaimdamri/ml-to-fil-nan", "kernel_id": "33819024"}, {"ref": "hyaeeun/spaceship-titanic2", "kernel_id": "33943048"}, {"ref": "hyaeeun/spaceship-titanic1", "kernel_id": "33918282"}, {"ref": "salsabillaheba/final-project-ai-spaceship-titanic-improvements", "kernel_id": "33583178"}, {"ref": "shreyasrinivasan30/spaceship-titanic", "kernel_id": "33841183"}, {"ref": "javohirtoshqorgonov/spaceship-titanic-wonderful-notebook", "kernel_id": "33924959"}, {"ref": "pariyawan02/spaceship-titanic-shortest-solution-0-78", "kernel_id": "33633491"}, {"ref": "aravindhksa/automatic-eda-and-automl", "kernel_id": "33067983"}, {"ref": "helloimgenie/study-assignment1", "kernel_id": "33951507"}, {"ref": "jonathanparker86/spaceship-titanic-in-r", "kernel_id": "33627804"}, {"ref": "michaelminhpham/spaceship-titanic-eda-tuning-80-acc-voting", "kernel_id": "33974563"}, {"ref": "kavinkv/spaceship-random-classifiers-1", "kernel_id": "33708749"}, {"ref": "kavinkv/spaceship2", "kernel_id": "33697125"}, {"ref": "akhiljethwa/spaceship-titanic-eda-5-models", "kernel_id": "33349753"}, {"ref": "samithhegde/spaceship-titanic-competition", "kernel_id": "33319754"}, {"ref": "johnybhiduri/passengers-transported-prediction", "kernel_id": "33444453"}, {"ref": "rajkumarpandey02/ss-titanic-experiment", "kernel_id": "33667126"}, {"ref": "zittagustavo/xgboost-spaceship-titanic", "kernel_id": "33132968"}, {"ref": "anoopsinghal/spaceship-different-models", "kernel_id": "33469004"}, {"ref": "anoopsinghal/spaceship-gradient-boosting", "kernel_id": "33624323"}, {"ref": "illiatikhonov/faiitclassification", "kernel_id": "33666805"}, {"ref": "ruslanmol/accuracy-81-without-hyperparameter-tuning", "kernel_id": "33291026"}, {"ref": "ruslanmol/accuracy-80-very-fast-code-in-4-lines", "kernel_id": "33601011"}, {"ref": "sangwonparkoptics/assignment-01-psw", "kernel_id": "33578818"}, {"ref": "daedongkim/2022-2-ust-ai-class-final-project-spaceship", "kernel_id": "33625965"}, {"ref": "jekang/ai-hw-5-final-project-spaceship-titanic-jieun-kang", "kernel_id": "33625174"}, {"ref": "kangjueun/space-titanic-final", "kernel_id": "33603090"}, {"ref": "choijaehyeong/spaceship-titanic-random-forest-regression", "kernel_id": "33738404"}, {"ref": "chomunjeong/spaceship-final-mmj", "kernel_id": "33722340"}, {"ref": "chomunjeong/final-spaceship-mmj", "kernel_id": "33632395"}, {"ref": "daahee/221231-ust-ai01-final-spaceship", "kernel_id": "33732617"}, {"ref": "tewuhibositotaw/spaceship-titanic-hyperparameter-tuning", "kernel_id": "33742466"}, {"ref": "minji0612/final-assignment-spaceship-titanic", "kernel_id": "33597973"}, {"ref": "atefeh17/spaceship-titanic-final-project-atefeh", "kernel_id": "33626175"}, {"ref": "aieplaplus/ais-w2", "kernel_id": "33989381"}, {"ref": "jihyunjeong123/final-project-2", "kernel_id": "33481289"}, {"ref": "rlawjddls/221228-final-project", "kernel_id": "33650940"}, {"ref": "batoolr/assign-3-cross-validation", "kernel_id": "33084424"}, {"ref": "batoolr/final-project-spaceshiptitanic", "kernel_id": "33578534"}, {"ref": "batoolr/assignment-2", "kernel_id": "33584583"}, {"ref": "madeehaashfaque/final-assign-madeeha-sptitanic", "kernel_id": "33599301"}, {"ref": "madeehaashfaque/houseprice-xgbregressor", "kernel_id": "33610331"}, {"ref": "klodha/final-project-part-1", "kernel_id": "33650902"}, {"ref": "parkgh97/final-project-spaceship-titanic", "kernel_id": "33658916"}, {"ref": "namsen/newspaceship", "kernel_id": "33459293"}, {"ref": "arund8888/spaceship-titanic-classification-models-acc-78", "kernel_id": "33900899"}, {"ref": "mariyabartosh/titanic-spaceship-classification", "kernel_id": "33286011"}, {"ref": "ofjeong/final-test-spaceship-titanic", "kernel_id": "33634459"}, {"ref": "georgioskaragiannis/spaceship-titanic-project", "kernel_id": "33455729"}, {"ref": "krisztinboros/spaceship-titanic-with-pipelines", "kernel_id": "33450043"}, {"ref": "ramkan07/ramsp", "kernel_id": "33979054"}, {"ref": "ryotaozawa/space-titanic", "kernel_id": "33013951"}, {"ref": "hzahidtufail/spaceship-titanic-prediction-final", "kernel_id": "33607190"}, {"ref": "anjalimkiresur/spaceship-titanic-2022", "kernel_id": "33612849"}, {"ref": "kyeongmanmoon/spaceship-titanic-python-rf-auc-0-8415", "kernel_id": "33112848"}, {"ref": "junyds/logisticregression-titanic", "kernel_id": "33764938"}, {"ref": "harshit264/complement-version-nb", "kernel_id": "33697435"}, {"ref": "harshit264/spaceship-random-classifiers", "kernel_id": "33688429"}, {"ref": "satoru90/spaceship-titanic-classification", "kernel_id": "33429012"}, {"ref": "senbonzakurakagiohsi/space-travel", "kernel_id": "33808549"}, {"ref": "emirhansensoy/spaceship-titanic", "kernel_id": "33530939"}, {"ref": "bariser/notebook3fee4e9165", "kernel_id": "33353137"}, {"ref": "eamonntweedy/spaceship-titanic-tree-models", "kernel_id": "33390034"}, {"ref": "lakithadinuwan/spaceship-titanic-dataset-ann", "kernel_id": "33610912"}, {"ref": "rebeccapringle/spaceship-competition", "kernel_id": "33294377"}, {"ref": "maxsivo/space-titanic-multi-model-approach", "kernel_id": "33884470"}, {"ref": "matheusbuenofaria/spaceship-titanic", "kernel_id": "33067248"}, {"ref": "spoiltlapdog/spaceship-titanic-nn-sequential", "kernel_id": "33109962"}, {"ref": "zhongnaikang/titanic-space-ship-competion-notebook", "kernel_id": "33581808"}, {"ref": "theelahi/spaceship-randomforest", "kernel_id": "33746641"}, {"ref": "aysenurayvaz/data-processing-gradient-boosting-algorithms", "kernel_id": "33847669"}, {"ref": "hannannh/spaceship-titanic", "kernel_id": "33012494"}, {"ref": "silviabm98/79-svm-silviabarrosomoreno", "kernel_id": "33808920"}, {"ref": "nikolaaswillaert/titanic-spaceship-feature-by-feature-cleaning", "kernel_id": "33899657"}, {"ref": "nikolaaswillaert/titanic-spaceship-feature-by-feature-explain", "kernel_id": "33819011"}, {"ref": "shubhamc003/spaceship-titanic-prediction-model", "kernel_id": "33000742"}, {"ref": "alessiofranchi/explained-spaceship-titanic-ann-rf-lb-0-803", "kernel_id": "33757261"}, {"ref": "ritik9908/spaceship-titanic-pipeline", "kernel_id": "33977348"}, {"ref": "wanwiju22/notebookc8566ca38d", "kernel_id": "33074475"}, {"ref": "tklaus/spaceship-titanic-classifier-catboost", "kernel_id": "33206306"}, {"ref": "faeghehghofrani/3-eda-methods-lgbm", "kernel_id": "33159635"}, {"ref": "luchales/catboost-acc-score-80", "kernel_id": "33965876"}, {"ref": "maisibrahim/spaceship", "kernel_id": "33542756"}, {"ref": "gokulprasantht/spaceshiptitanic", "kernel_id": "33739121"}, {"ref": "harinarayanan22/spaceship-titanic", "kernel_id": "33732967"}, {"ref": "joserequenamartinez/proyecto-miner-a-de-datos", "kernel_id": "33879843"}, {"ref": "yellowduck/rf-example", "kernel_id": "34935936"}, {"ref": "ankitajaiwar/logistic-regression-from-scratch-space-titanic", "kernel_id": "34159784"}, {"ref": "luxcem/spaceship-titanic-random-forests", "kernel_id": "34915116"}, {"ref": "morenoj8/fork-of-fork-of-proyecto-miner-a-de-datos-b063ad", "kernel_id": "34204006"}, {"ref": "i4jain/boosting-the-spaceship", "kernel_id": "34359068"}, {"ref": "stpeteishii/space-titanic-create-sqlalchemy", "kernel_id": "34974914"}, {"ref": "khushboos/space-titanic", "kernel_id": "34425572"}, {"ref": "priyankapalshetkar/spaceship-titanic-score-0-8", "kernel_id": "34179128"}, {"ref": "altafk/spaceship-titanic-with-pycaret", "kernel_id": "34932866"}, {"ref": "thejaniyapa/spaceship-titanic", "kernel_id": "34602332"}, {"ref": "edouardlabriffe/spaceship-titanic-gradientboosting-for-beginners", "kernel_id": "34437649"}, {"ref": "umongsain/majority-voting-for-spaceship-score-0-8", "kernel_id": "34239460"}, {"ref": "martalex/spaceship-titanic-80-eda-fe-catboost", "kernel_id": "34646181"}, {"ref": "ruchikajain/spaceship-titanic-r2", "kernel_id": "34165870"}, {"ref": "shivijaiswal/spaceship", "kernel_id": "34974046"}, {"ref": "hiroshikurokawa/st-lgb-catb-xgb-ensembled", "kernel_id": "34767487"}, {"ref": "wmalchodi/basic-exploratory-data-analysis-step-by-step-guide", "kernel_id": "34615096"}, {"ref": "akshaykumarl/spaceship-titanic-beginner-friendly", "kernel_id": "34932956"}, {"ref": "mcooper11/spacetitanic", "kernel_id": "34665833"}, {"ref": "felipemartnez/spaceship-titanic", "kernel_id": "34785644"}, {"ref": "ashokkumargarain/notebookff56109dca", "kernel_id": "34006464"}, {"ref": "shavilyarajput/spaceship-titanic-dataset", "kernel_id": "34396860"}, {"ref": "taninudomthanakij/basic-eda-machine-learning-for-beginner", "kernel_id": "34439653"}, {"ref": "asimple/top-ml-pipeline-titanic", "kernel_id": "34594597"}, {"ref": "ahmedradwan5/titanic-analysis-machine-learning", "kernel_id": "34105604"}, {"ref": "alexkonse/spaceship-titanic-80-2", "kernel_id": "34443092"}, {"ref": "mohammadrazeghi/spaceship-titanic-eda-intro", "kernel_id": "34622544"}, {"ref": "shashwatsaket/titanic-spaceship", "kernel_id": "34911617"}, {"ref": "zeminglim/spaceship-titanic-0-75", "kernel_id": "34789753"}, {"ref": "ivaneleskin/baseline-80-pipeline-spaceship-titanic", "kernel_id": "34767344"}, {"ref": "ivaneleskin/eda-msno-spaceship-titanic", "kernel_id": "34770202"}, {"ref": "andriikolesnyk/titanic-eda-and-prediction", "kernel_id": "34813235"}, {"ref": "assemafanah/space-titanic", "kernel_id": "34447080"}, {"ref": "manoharlaldas/spaceship-titanic", "kernel_id": "34149347"}, {"ref": "lokeboonseng/spaceship-titanic-hands-on", "kernel_id": "34616190"}, {"ref": "hanklin99/spaceship-titanic-20230115", "kernel_id": "34129101"}, {"ref": "sashuvkafle/spaceship-titanic-even-a-baby-can-understand", "kernel_id": "34905417"}, {"ref": "robertmorsch/space-titanic-eda-cv-hyperopt-automl", "kernel_id": "34412426"}, {"ref": "ayushsingh05/spaceship-titanic", "kernel_id": "34648137"}, {"ref": "fabiodamacena/spaceship-titanic-stacking-classification-task", "kernel_id": "34274129"}, {"ref": "numberphile69/notebook61147b9a35", "kernel_id": "34660158"}, {"ref": "raulparis/spaceship-titanic-81-easy-to-understand", "kernel_id": "34386435"}, {"ref": "shadowhat/exercise-space-titanic-with-pycaret", "kernel_id": "34395167"}, {"ref": "blessingumoru/spaceship-titanic", "kernel_id": "34111415"}, {"ref": "blessingumoru/spaceship-titanic-project-with-accuracy-of-98", "kernel_id": "34111864"}, {"ref": "vladimirbeliayev/spaceship-custom-mice-cool-features-cb-lgbm", "kernel_id": "34524535"}, {"ref": "yusefsavid/spaceship-titanic-1", "kernel_id": "34066779"}, {"ref": "azazali/spaceship-titanic-prediction-ensemble-learning", "kernel_id": "34366940"}, {"ref": "gabrielffranco/spaceship-titanic-with-keras-tensorflow-nn", "kernel_id": "34589343"}, {"ref": "cir2001/spaceship-titanic-80-5-fast-easy", "kernel_id": "34437236"}, {"ref": "umanglodaya/spaceship-titanic-xgboost", "kernel_id": "34770594"}, {"ref": "sujaykapadnis/gradientboost-xgb-rf-fine-tuning-score-0-80", "kernel_id": "34003226"}, {"ref": "namsiunhon/prediction-simple-decision-tree-from-n2s", "kernel_id": "34158899"}, {"ref": "infiniteluminous/pml-internal-lab", "kernel_id": "34805374"}, {"ref": "koustavin/spaceship-titanic-dtc-with-gridsearch-cleaner", "kernel_id": "34594002"}, {"ref": "timurtuleuov/space-cadets-and-space-cowboys", "kernel_id": "34555178"}, {"ref": "cartertate/titanic-spaceship-project-carter-tate", "kernel_id": "34026195"}, {"ref": "chaney9939/spaceship-titanic-with-xgboost", "kernel_id": "34061853"}, {"ref": "shiv7080/spaceship-titanic-xgboost-optuna", "kernel_id": "34196123"}, {"ref": "abhi011097/eda-feature-engineering-automl-manual-model", "kernel_id": "34199467"}, {"ref": "baekchaeeun/spaceship-titanic-2", "kernel_id": "34389397"}, {"ref": "danyowcheung/spacetitanic-dense-predict", "kernel_id": "34573883"}, {"ref": "fatemamoharam/spaceship-titanic", "kernel_id": "34625102"}, {"ref": "ayushs9020/space-74-12", "kernel_id": "34873387"}, {"ref": "gautamshah2002/spaceship-titanic-with-headjack-ai", "kernel_id": "34686858"}, {"ref": "vidhikishorwaghela/spaceship-titanic-predicting-transported-ids", "kernel_id": "34238024"}, {"ref": "iottech/spaceship-titanic", "kernel_id": "34457195"}, {"ref": "saadrasheed20/spaceship-titanic-eda", "kernel_id": "34857482"}, {"ref": "elizavetastepanova/titanic-spaceship", "kernel_id": "34228100"}, {"ref": "abgmohdnadzmi/spaceship-titanic", "kernel_id": "34217124"}, {"ref": "alexzvonarev/rf-example", "kernel_id": "34976990"}, {"ref": "nicktedesco/simple-model-stacking-workflow", "kernel_id": "34616340"}, {"ref": "mawadaalabri/rf-example", "kernel_id": "34987625"}, {"ref": "dongdongee/using-catboost", "kernel_id": "34135618"}, {"ref": "chevee/rf-example", "kernel_id": "34993743"}, {"ref": "priyam8210/spaceship-29-01", "kernel_id": "34556635"}, {"ref": "hyaeeun/spaceship-titanic3", "kernel_id": "34513764"}, {"ref": "kagleo123/titanic-eda-machine-deep-learning", "kernel_id": "34297429"}, {"ref": "mingyuhwang/sungsu-space-1", "kernel_id": "34670136"}, {"ref": "rahulbahuguna01/spaceship-titanic-e1274e", "kernel_id": "34344477"}, {"ref": "diksha2109/spaceship-titanic-using-gradient-boosting", "kernel_id": "34514742"}, {"ref": "diksha2109/spaceship-titanic-using-tfdf", "kernel_id": "34519632"}, {"ref": "diksha2109/spaceship-titanic-using-xgboost", "kernel_id": "34515430"}, {"ref": "senapatirajesh/titanic-eda-best-model", "kernel_id": "34028955"}, {"ref": "supremesoviet/family-size-imputation-using-catboost", "kernel_id": "34496390"}, {"ref": "hulala20/spaceship1", "kernel_id": "34144402"}, {"ref": "helloimgenie/assignment3", "kernel_id": "34581647"}, {"ref": "aehabv/titanic-the-beginner-s-guide-to-ds-finally", "kernel_id": "34550916"}, {"ref": "parvishkakarapalli/spaceship-titanic", "kernel_id": "34099119"}, {"ref": "indhuashini/spaceship-titanic", "kernel_id": "34689321"}, {"ref": "dmitryshekhov/catboost-increase-threshold-score-0-81", "kernel_id": "34098958"}, {"ref": "saravananchandiran/notebookf08cc63df7", "kernel_id": "34150102"}, {"ref": "pumpkin18/spaceship-titanic", "kernel_id": "34087242"}, {"ref": "kirilltobola/space-titanic-ru", "kernel_id": "34819136"}, {"ref": "saidislombek/spaceship-titanic-lgbmclassifier", "kernel_id": "34582416"}, {"ref": "deepikakumar97/titanic-spaceship-classification-nan-validation", "kernel_id": "34258562"}, {"ref": "nileshrathi99/spaceship-titanic", "kernel_id": "34735430"}, {"ref": "johnybhiduri/are-you-transported-keras-deeplearning-model", "kernel_id": "34488643"}, {"ref": "fadhilmuh/spaceship-titanic-eda-and-various-modelling", "kernel_id": "34112513"}, {"ref": "rohan8771/spaceship-titanic-eda-imputation-xgboost", "kernel_id": "34515560"}, {"ref": "abocadobaby/beginer-classifying-using-decision-tree", "kernel_id": "34986461"}, {"ref": "mob2dr/spaceship-titanic-0-80336", "kernel_id": "34550412"}, {"ref": "iliamartyanov/titanic-eda-machine-deep-learning-f9d655", "kernel_id": "34765229"}, {"ref": "aieplaplus/ais-w4-1", "kernel_id": "34566544"}, {"ref": "aieplaplus/ais-w3", "kernel_id": "34333192"}, {"ref": "supersujin/data-pre-processing", "kernel_id": "34269618"}, {"ref": "songglodtan/predict-which-passengers-are-transported-python", "kernel_id": "34547024"}, {"ref": "irakliskhirtladze/spaceship-titanic-cross-validation", "kernel_id": "34370857"}, {"ref": "matteosilla/spaceship-easy-80", "kernel_id": "34808124"}, {"ref": "leolemoal/leo-le-moal", "kernel_id": "34635362"}, {"ref": "ramkan07/automl", "kernel_id": "34378419"}, {"ref": "ezhilarasan2810/225229151-pml-cia1", "kernel_id": "34803368"}, {"ref": "floristerhaar/notebooka8257d4a8c", "kernel_id": "34997300"}, {"ref": "krzysztofkulasik/spaceship-titanic-eda-model", "kernel_id": "34506537"}, {"ref": "sheebamasalinv/notebook225229134", "kernel_id": "34805733"}, {"ref": "anushreek15/space-titanic", "kernel_id": "34337086"}, {"ref": "shubhamsingh57/spacetitanic-randomforest", "kernel_id": "34867354"}, {"ref": "jeanc2020/first-r-notebook-spaceship-titanic-80", "kernel_id": "34975978"}, {"ref": "harinuu/spaceship-titanic-using-logistic-regression", "kernel_id": "34087303"}, {"ref": "eu1234/spaceship-81-1-leaderboard-top-2-step-by-step", "kernel_id": "34953252"}, {"ref": "ilyai332/eda-prediction", "kernel_id": "34409768"}, {"ref": "rafamlinde/notebookrafa-titanic", "kernel_id": "34181726"}, {"ref": "ericksalignac/spaceship-titanic-tarea-management", "kernel_id": "34689057"}, {"ref": "jordhanus/project2-spaceshiptitanic-v1", "kernel_id": "34814145"}, {"ref": "alvaradoglza/competition-spaceshiptitanic-3", "kernel_id": "34417216"}, {"ref": "faisalali4364/spaceship-titanic-with-pycaret", "kernel_id": "34965877"}, {"ref": "sundarikonar/spaceship-titanic", "kernel_id": "34450019"}, {"ref": "yashsdholam/spaceship-titanic", "kernel_id": "34261835"}, {"ref": "pulavendranselvaraj/pytorch-neuralnetwork-approach", "kernel_id": "34199568"}, {"ref": "aysenurayvaz/catboost-with-optuna", "kernel_id": "34493459"}, {"ref": "surenvayradyan/top-real-score-lgbm-catboost", "kernel_id": "34902440"}, {"ref": "nikoolaylovyagin/cosmotitanic", "kernel_id": "34118346"}, {"ref": "kdsharma/spaceship-titanic-competition-end-to-end-project", "kernel_id": "34891656"}, {"ref": "mohammadtanvirul/notebooke32e4a9519", "kernel_id": "34509002"}, {"ref": "sixingzhao/spaceship-titanic", "kernel_id": "34250832"}, {"ref": "felixsamuel/titanic-seven-model-prediction", "kernel_id": "34080803"}, {"ref": "jnymeng/0-8-lightgbm", "kernel_id": "34095062"}, {"ref": "acour1/spaceship-titanic-eda-and-predictions", "kernel_id": "34327058"}, {"ref": "artempodmasko/rf-example", "kernel_id": "34996691"}, {"ref": "mecsico92/spaceship-titanic", "kernel_id": "34044176"}, {"ref": "panini92/spaceship-titanic", "kernel_id": "34754094"}, {"ref": "dettaup/spaceship-titanic", "kernel_id": "34364342"}, {"ref": "sgerasimov/notebookf3159b55b2", "kernel_id": "34720060"}, {"ref": "glunkad/spaceship-titanic", "kernel_id": "34829620"}, {"ref": "victorjohnson22/notebook46fb65e44a", "kernel_id": "34383354"}, {"ref": "wepasabyrow/spaceship-titanic", "kernel_id": "34813100"}, {"ref": "adivireza/spaceship-titanic", "kernel_id": "34720013"}, {"ref": "jtmyfd/spaceship-titanic", "kernel_id": "34252257"}, {"ref": "yoelcaisesalmaguer/nb-spaceship-titanic-attempt2", "kernel_id": "34102220"}, {"ref": "voidkandy/spacetitanic-random-forest-79-2", "kernel_id": "34847212"}, {"ref": "andreerichsen/space-titanic-pretty-simple-for-begginers", "kernel_id": "34696962"}, {"ref": "liqiang2022/prediction-based-on-multi-ml-models", "kernel_id": "34037956"}, {"ref": "sciencesuper/spaceship-titanic-a-complete-guide", "kernel_id": "34294881"}, {"ref": "newlinblessy/spaceship-titanic-22sheet", "kernel_id": "34805855"}, {"ref": "newlinblessy/spaceship22-titaanic", "kernel_id": "34807219"}, {"ref": "ionutv/notebook7abd353c31", "kernel_id": "34217086"}, {"ref": "mateuszk013/spaceship-titanic-eda-machine-learning", "kernel_id": "34718863"}, {"ref": "mukulsharda50/spaceship-titanic", "kernel_id": "34106405"}, {"ref": "petitrastignac/spaceship-titanic-random-forest", "kernel_id": "34775418"}, {"ref": "lightnessofbeing/tereza-spaceship", "kernel_id": "34451941"}, {"ref": "sachinsrinivasa/spaceship-neural-networks", "kernel_id": "34577240"}, {"ref": "pufferbitch/spaceship-titanic-nn-with-preprocessing-model", "kernel_id": "34332546"}, {"ref": "bioxes/spaceship-titanic", "kernel_id": "34469941"}, {"ref": "bioxes/spaceship-titanic-logistic-regression", "kernel_id": "34469977"}, {"ref": "muthumeenakshi11/notebooka94e0b4a71", "kernel_id": "34401253"}, {"ref": "ayun3738/spaceship-titanic-alpaco-5-4", "kernel_id": "34670886"}, {"ref": "hufaga/alpaco-spaceship-2-team", "kernel_id": "34671028"}, {"ref": "youmiri/spaceship-titanic-3-beginners", "kernel_id": "34671753"}, {"ref": "satheeshbhukya1/spaceship-titanic", "kernel_id": "34916892"}, {"ref": "sanjayvarmadatla/assignment-1", "kernel_id": "34628667"}, {"ref": "chanig/spaceship-titanic-with-headjack-ai", "kernel_id": "34698616"}, {"ref": "istewel/rf-example", "kernel_id": "34983727"}, {"ref": "maramalhinai/rf-example", "kernel_id": "34971560"}, {"ref": "saharalajmi/rf-example", "kernel_id": "34990600"}, {"ref": "bingdong1/automl-version-1", "kernel_id": "35380155"}, {"ref": "bingdong1/first-submission-spaceship-titanic", "kernel_id": "35310618"}, {"ref": "akash5551/spaceship-neural-networks", "kernel_id": "35453283"}, {"ref": "ryzhokhina/spaceship-titanic", "kernel_id": "35442029"}, {"ref": "madhantm/spaceship-titanic", "kernel_id": "35122714"}, {"ref": "efrainp23/spaceship-titanic-tensorflow", "kernel_id": "35325905"}, {"ref": "hardikr23/spaceship-titanic-v1", "kernel_id": "35946496"}, {"ref": "iamvinitk/spaceship-titanic-0-78", "kernel_id": "35027549"}, {"ref": "makrrc/0-78676-v12-spaceship-titanic", "kernel_id": "35187729"}, {"ref": "rishabsinghh/spaceship-lgbm", "kernel_id": "35439164"}, {"ref": "p4rlxdev/spaceship-titanic-nullzero-fastai-2022", "kernel_id": "35356152"}, {"ref": "chasek123/sample-building-a-classification-model-in-kaggle", "kernel_id": "35751895"}, {"ref": "andreggalvao/spaceship-titanic-ml-test-accuracy-82-4", "kernel_id": "35683262"}, {"ref": "carbonedo/spaceship-titanic-random-forest-from-scratch", "kernel_id": "35846398"}, {"ref": "carbonedo/decision-tree-with-cost-complexity-pruning", "kernel_id": "35808037"}, {"ref": "sanfernoronha/spaceship-titanic-sanfer", "kernel_id": "35795549"}, {"ref": "racksonsit/spaceship-titanic-using-machine-learning", "kernel_id": "35066642"}, {"ref": "racksonsit/fork-of-spaceship-titanic-using-machine-learning", "kernel_id": "35159718"}, {"ref": "nicolaorlandowork/spaceship-titanic-everything-all-at-once", "kernel_id": "35303072"}, {"ref": "nicolaorlandowork/ensembles-stacking", "kernel_id": "35787632"}, {"ref": "puiggrosd/titanicspaceship", "kernel_id": "35224534"}, {"ref": "lavagod/spacetitanic-rus-part-2", "kernel_id": "35914088"}, {"ref": "lavagod/spacetitanic-rus-part-1", "kernel_id": "35697709"}, {"ref": "lavagod/worldskills-for-idiots-tutorial-2", "kernel_id": "35682593"}, {"ref": "stevelukis/spaceship-titanic", "kernel_id": "35312610"}, {"ref": "charunumesh/spaceship-titanic-xg-boost-cat-boost", "kernel_id": "35036250"}, {"ref": "komalkurhe/titanic-spaceship-competition", "kernel_id": "35318684"}, {"ref": "namitham/spaceship-titanic-knn-namitha", "kernel_id": "35670891"}, {"ref": "sadihurayv/spaceshiptitanic-80-57-comparision-imputation", "kernel_id": "35743478"}, {"ref": "cihangiryiit/space-ship-titanic", "kernel_id": "35766830"}, {"ref": "oktaviacitra/dt-for-categorical-knn-for-numerical", "kernel_id": "35691994"}, {"ref": "karats/svc-sklearn-python", "kernel_id": "35163982"}, {"ref": "karats/support-vector-classifier-spaceship-titanic-py", "kernel_id": "35159864"}, {"ref": "aathananderson/notebooke766c3180d", "kernel_id": "35351461"}, {"ref": "mynameisarko/spaceship", "kernel_id": "35982944"}, {"ref": "bipingouda/spaceship-titanic", "kernel_id": "35905689"}, {"ref": "devamin/spaceship-titanic-with-tensorflow", "kernel_id": "35888728"}, {"ref": "arqamp/space", "kernel_id": "35892438"}, {"ref": "richardsousaantunes/notebookf1cca43a31", "kernel_id": "35182913"}, {"ref": "mariorodrigues1908/spaceship-titanic-beginners-guide", "kernel_id": "35542907"}, {"ref": "mahdimasoon/spaceship-titanic-comp", "kernel_id": "35202462"}, {"ref": "setyoab/spaceship-competition-analysis", "kernel_id": "35291942"}, {"ref": "louiswidi/spaceship-titanic", "kernel_id": "35055608"}, {"ref": "massimomeert/spaceship-titanic", "kernel_id": "35923715"}, {"ref": "ivaneleskin/81-5-visualization-statistics-model", "kernel_id": "35251300"}, {"ref": "ivaneleskin/statistical-hypotheses-spaceship-titanic-s", "kernel_id": "35299065"}, {"ref": "dinesh2002/beginner-friendly-spaceshiptitanic-eda-gboost", "kernel_id": "35353593"}, {"ref": "daking97/simple-pipeline-80", "kernel_id": "35859614"}, {"ref": "pavlyremon/spaceship-titanic", "kernel_id": "35873753"}, {"ref": "marckherzonbarrion/ece668m-homework-5-barrion", "kernel_id": "35263555"}, {"ref": "vinerabbit/spaceship-facens", "kernel_id": "35384472"}, {"ref": "kshitijadeshmukh98/spaceship-titanic", "kernel_id": "35177082"}, {"ref": "supawadi/spaceship-titanic-pycaret-o", "kernel_id": "35423353"}, {"ref": "siddhantojha17/spaceship-titanic", "kernel_id": "35131816"}, {"ref": "nofal82/spaceship-titanic", "kernel_id": "35329948"}, {"ref": "kashifmohammad/notebook374ee7403a", "kernel_id": "35671439"}, {"ref": "drsdeepalakshmi/spaceship-titanic-lgbmclassifier", "kernel_id": "35223829"}, {"ref": "rutujab99/spaceshiptitanic-initial-pipeline", "kernel_id": "35846904"}, {"ref": "edwardhuangtw/space", "kernel_id": "35841543"}, {"ref": "nawinrajkumars/spaceship-titanic", "kernel_id": "35542196"}, {"ref": "hermanaz/spaceship-titanic", "kernel_id": "35197416"}, {"ref": "tristran14/totus", "kernel_id": "35936695"}, {"ref": "fauziaryasa/spaceship-eda-predict", "kernel_id": "35457311"}, {"ref": "chongjiaxu/space-ship-classification-0-7877", "kernel_id": "35235925"}, {"ref": "yumicherng/spaceship-titanic-eda-xgboost-80", "kernel_id": "35754500"}, {"ref": "billykoech/spaceship-titanic-project", "kernel_id": "35935587"}, {"ref": "billykoech/spaceship-titanic", "kernel_id": "35233054"}, {"ref": "muhammadatef/spaceship-titanic", "kernel_id": "35375736"}, {"ref": "addythokale/spaceship-titanic-using-ml", "kernel_id": "35423809"}, {"ref": "tanmaygajmal/spaceship-titanic", "kernel_id": "35257625"}, {"ref": "pratikbhoj/spaceship-titanic-prediction", "kernel_id": "35565418"}, {"ref": "yashrana24/space-ship-titanic", "kernel_id": "35472553"}, {"ref": "swish9/spaceship-titanic-detection-model", "kernel_id": "35908988"}, {"ref": "swish9/spaceship-titanic02", "kernel_id": "35269234"}, {"ref": "atinux/space-iceberg", "kernel_id": "35742957"}, {"ref": "kabeer05/spaceship-titanic", "kernel_id": "35406257"}, {"ref": "pmv888/notebookf0ff8e3e0e", "kernel_id": "35058520"}, {"ref": "imadali595/titanic-spaceship-with-ml", "kernel_id": "35972293"}, {"ref": "prashantrajkaggle/passenger-prediction-titanic-spaceship", "kernel_id": "35547334"}, {"ref": "suvammistry/just-an-astrologer-in-titanic-spaceship", "kernel_id": "35707827"}, {"ref": "ds150478/spaceship-titanic", "kernel_id": "35616967"}, {"ref": "tommasoamorosi/space-titanic-m-l-practice-run", "kernel_id": "35010729"}, {"ref": "iskandermukh/rf-example-at-least-smth", "kernel_id": "35007838"}, {"ref": "ananyagiliyal7/passenger-prediction-spaceship-titanic", "kernel_id": "35507957"}, {"ref": "rahmaabdelkader/spaceship-titanic-full-project", "kernel_id": "35181158"}, {"ref": "kevstrider/spaceship", "kernel_id": "35863332"}, {"ref": "mrjouh4/spaceship-titanic-random-forest", "kernel_id": "35859584"}, {"ref": "atowagner/p8-spaceship-modelling", "kernel_id": "35368216"}, {"ref": "atowagner/p8-spaceship-eda", "kernel_id": "35368033"}, {"ref": "lizhecheng/kfold-spaceship-titanic-classification", "kernel_id": "35226419"}, {"ref": "rohnsha0/spaceship-prediction-randomforestclassifier", "kernel_id": "35334954"}, {"ref": "suzukifelipe/randomforestclassifier-for-beginners", "kernel_id": "35592072"}, {"ref": "alexandrupicio/spaceship-optimization", "kernel_id": "35919311"}, {"ref": "alexandrupicio/baseline-modell", "kernel_id": "35918007"}, {"ref": "idarezaei/spaceship-titanic-analayzing-and-prediction-75-87", "kernel_id": "35643395"}, {"ref": "abhishekgautam12/titanic-prediction", "kernel_id": "35838024"}, {"ref": "abneeshkumar/spaceship-titanic-using-lgbmclassifier-ann-80-5", "kernel_id": "35150573"}, {"ref": "mohdimranm/spaceship-prediction-eda-80-accuracy", "kernel_id": "35346285"}, {"ref": "akshitasana/spaceship-titanic-prediction", "kernel_id": "35512500"}, {"ref": "ankitapandav1212/spaceship-titanic-using-ml", "kernel_id": "35395590"}, {"ref": "pumpkin18/heart-disease-prediction-and-eda", "kernel_id": "35365178"}, {"ref": "yangyu3390/spaceship-titanic-gem-template", "kernel_id": "35481424"}, {"ref": "ysnyldrms/spaceship-gradient-boosting", "kernel_id": "35974101"}, {"ref": "rohitshitole/machine-learning-model-used-for-prediction", "kernel_id": "35053069"}, {"ref": "aidarishmukhametov/spaceship-titanic-catboostclassifier", "kernel_id": "35457818"}, {"ref": "pothureddychakri/spaceship-titanic", "kernel_id": "35253763"}, {"ref": "mealficie/titanic-spaceship-good-visualization", "kernel_id": "35162600"}, {"ref": "inhngcn/spaceship-titanic-80-accuracy", "kernel_id": "35347683"}, {"ref": "keerthanasingupuram/spaceship-titanic-competition", "kernel_id": "35651922"}, {"ref": "sofiamatias/spaceship-titanic", "kernel_id": "35658172"}, {"ref": "adityabksingh/as-spaceship-titanic", "kernel_id": "35368739"}, {"ref": "venkatahemanthg/spaceship-titanic-using-logreg", "kernel_id": "35073931"}, {"ref": "milanbhor/titanic-spaceship-competition", "kernel_id": "35029071"}, {"ref": "shubhamk682/titanic-spaceship-competition-notebook", "kernel_id": "35066650"}, {"ref": "pranjalbhor/spaceship-titanic-dataset", "kernel_id": "35284860"}, {"ref": "chaitnyapol/spaceship-titanic-prediction", "kernel_id": "35032287"}, {"ref": "kajaltiwarikamlesh/understanding-the-data-part-1", "kernel_id": "35566494"}, {"ref": "kajaltiwarikamlesh/eda-univariant-understanding-the-data-part-2", "kernel_id": "35569150"}, {"ref": "fraserwtt/spaceship-titanic", "kernel_id": "35265359"}, {"ref": "abdallahelsaadany/spaceship", "kernel_id": "35269505"}, {"ref": "pmr3508202239/shape-oddity", "kernel_id": "35652921"}, {"ref": "chrischapman12343/space-titanic", "kernel_id": "35074305"}, {"ref": "naveenkumar20bps1137/spaceship-titanic-prediction", "kernel_id": "35665215"}, {"ref": "mostafasamerdorrah/spaceship-titanic-using-cat-boost", "kernel_id": "35323993"}, {"ref": "danhpham2000/randomforest-with-93-accuracy", "kernel_id": "35690027"}, {"ref": "nikmadan/spaceship-titanic-fastai-2022", "kernel_id": "35310302"}, {"ref": "pratikshajagtap787/spaceship-titanic", "kernel_id": "35401851"}, {"ref": "albinobruno/spaceship-titanic", "kernel_id": "35169675"}, {"ref": "prashantjadhav20/spaceship-titanic-using-machine-learning", "kernel_id": "35953618"}, {"ref": "tshinde/spaceship-titanic-ml", "kernel_id": "35731562"}, {"ref": "aravindhanarun/spaceship-titanic-detailed-explanation", "kernel_id": "35442112"}, {"ref": "cr1msonthenooby/testing-different-ml-models-optuna", "kernel_id": "35643119"}, {"ref": "nehalyede/spaceship-titanic-using-machine-learning", "kernel_id": "35145719"}, {"ref": "arifmulla/spaceship-titanic-using-machine-learning-8f9a1a", "kernel_id": "35358189"}, {"ref": "jacobnoel/slayship-titanic-ml-project", "kernel_id": "35539551"}, {"ref": "dmitrysakharov/spaceship-svm-log-reg-knn-param-grid", "kernel_id": "35957558"}, {"ref": "neupane9sujal/spaceship-titanic-0-79", "kernel_id": "35333645"}, {"ref": "volkos/spaceship-titanic-80-accuracy", "kernel_id": "35194376"}, {"ref": "youusha/spaceship-titanic-80-5-data-imputing-focus", "kernel_id": "35532297"}, {"ref": "daraghthomas/st-with-xgboost", "kernel_id": "35854654"}, {"ref": "daraghthomas/spaceship-titanic-random-forest-with-xgboost", "kernel_id": "35791398"}, {"ref": "therusmedved/space-classification", "kernel_id": "35949013"}, {"ref": "anushakolaki/spaceship-titanic-using-ml", "kernel_id": "35395446"}, {"ref": "deepusoni/workingon-spaceship-titanic", "kernel_id": "35747227"}, {"ref": "ramdasyamgar/titanic", "kernel_id": "35134109"}, {"ref": "chrishayesf/group2-fintech-machinelearnig", "kernel_id": "35749719"}, {"ref": "muhannadashraf/spaceshiptitanic-80", "kernel_id": "35852833"}, {"ref": "a1pamyd/spaceship-titanic-catboostclassifier", "kernel_id": "35460924"}, {"ref": "cheesleypringlesman/spaceship-titanic-classifier-using-pytorch", "kernel_id": "35299955"}, {"ref": "willtonkin/starship-titanic-using-fastai", "kernel_id": "35177878"}, {"ref": "mliammm/fastai-spaceshiprandom-forest-part-2", "kernel_id": "35986290"}, {"ref": "umniyathausawi/spaceship-titanic-classification80", "kernel_id": "35570994"}, {"ref": "jeffmjack/jeff-s-spaceship-notebook", "kernel_id": "35137847"}, {"ref": "niralipatel20/decision-tree-spaceship-titanic", "kernel_id": "35770438"}, {"ref": "dhconnelly/spaceship-titanic", "kernel_id": "35622829"}, {"ref": "istewel/catboost-spaceship-titanic", "kernel_id": "35107517"}, {"ref": "maramalhinai/rf-example-maram", "kernel_id": "35083459"}, {"ref": "hajirsaadi/rf-example-e3cf44", "kernel_id": "35110104"}, {"ref": "hajirsaadi/rf-example", "kernel_id": "35006469"}, {"ref": "avinashmonde/training-model-spaceship-titanic-knnclassifier", "kernel_id": "35888967"}, {"ref": "saharalajmi/rf-example-sahar88", "kernel_id": "35104856"}, {"ref": "saharalajmi/fork-of-rf-sahar-2", "kernel_id": "35073459"}, {"ref": "guhbrandao/spaceship-titanic-transported-or-not-classifier", "kernel_id": "35994071"}, {"ref": "jihadalsaifi/rf-example-jihad", "kernel_id": "35006303"}, {"ref": "favourdi/spaceship-titanic-favour", "kernel_id": "35987584"}, {"ref": "saharalajmi2/rf-example-sahar", "kernel_id": "35110611"}, {"ref": "charleyconroy/dshw5", "kernel_id": "35179261"}, {"ref": "connorsakshaug/titanic-lab-machine-learning", "kernel_id": "35502443"}, {"ref": "stephenwerronen/spaceship-titanic-new-approach", "kernel_id": "35864817"}, {"ref": "junaidminhas/titanic-spaceship", "kernel_id": "35785564"}, {"ref": "maxphillep/one-try", "kernel_id": "35307472"}, {"ref": "kushanbhagya/spaceship-titanic", "kernel_id": "35921067"}, {"ref": "amoametan/44-teckne", "kernel_id": "35869528"}, {"ref": "drlexus/spaceship-titanic-mk-ii-80", "kernel_id": "35917836"}, {"ref": "dianageorgianadrguin/spaceship-baseline", "kernel_id": "35974824"}, {"ref": "dianageorgianadrguin/spaceship", "kernel_id": "35877218"}, {"ref": "razvan14/tema-ai", "kernel_id": "35907093"}, {"ref": "quyentnguyen/t3-final", "kernel_id": "35827255"}, {"ref": "eunicebrandares/team-11", "kernel_id": "35753777"}, {"ref": "rauloprisor/spaceship-titanic", "kernel_id": "35841271"}, {"ref": "tudorzugravu/baseline-modell", "kernel_id": "35941412"}, {"ref": "tudorzugravu/spaceship1-0", "kernel_id": "35876523"}, {"ref": "radunicolaesiderias/spaceshipsolutionoptimisation", "kernel_id": "35858047"}, {"ref": "radunicolaesiderias/spaceshipsolutionbaseline", "kernel_id": "35862305"}, {"ref": "yuxiazhao/spaceship-titanic-competition-end-to-end-project", "kernel_id": "35865404"}, {"ref": "petrilailinca/spaceship-titanic-base", "kernel_id": "35975056"}, {"ref": "petrilailinca/spaceship", "kernel_id": "35988332"}, {"ref": "munteantudordan/notebook2ff1d545c7", "kernel_id": "35920131"}, {"ref": "munteantudordan/notebookbc5ee65124", "kernel_id": "35921457"}, {"ref": "claudiuioanbogdan/spaceship-titanic", "kernel_id": "35876736"}, {"ref": "cleydytomamicle/the-death-star", "kernel_id": "35990453"}, {"ref": "boianradustefan/space-titanic", "kernel_id": "35945179"}, {"ref": "alexandrasilvasan/spaceshipnotebook", "kernel_id": "35876942"}, {"ref": "krisztiangombos/spaceship-titanic-project", "kernel_id": "35994416"}, {"ref": "davidcoldea/spaceship-work", "kernel_id": "35876470"}, {"ref": "kovcspter/starship", "kernel_id": "35876822"}, {"ref": "kovcspter/fork-of-starship", "kernel_id": "35890299"}, {"ref": "biancaberghea/fork-of-titanicspaceship-ml", "kernel_id": "35988681"}, {"ref": "biancaberghea/titanicspaceship-ml", "kernel_id": "35987054"}, {"ref": "matisanraresstefan/titanic-spaceship-baseline-model", "kernel_id": "35988923"}, {"ref": "matisanraresstefan/spaceship-titanic-verbesserung", "kernel_id": "35994343"}, {"ref": "danandreea/spaceship-titanic", "kernel_id": "35914557"}, {"ref": "alexfantana/notebookd8a9fd9174", "kernel_id": "35983759"}, {"ref": "arianavaida/notebook07e6136295", "kernel_id": "35875342"}, {"ref": "mirunacandea/lostinspace", "kernel_id": "35990054"}, {"ref": "suryansh2003/221111-teckne-teamid44", "kernel_id": "35915012"}, {"ref": "qubit64/41-teckne", "kernel_id": "35860158"}, {"ref": "muditagrawal4/220687-teckne", "kernel_id": "35891783"}, {"ref": "mrbluu/baseline-optimized", "kernel_id": "35972554"}, {"ref": "mrbluu/baseline", "kernel_id": "35953729"}, {"ref": "jderbysh/spaceship-titanic", "kernel_id": "35973035"}, {"ref": "alintrif/notebook3cfc9d37e3", "kernel_id": "35996406"}, {"ref": "emphymachine/simple-solution-spaceship-ml-pjt", "kernel_id": "36314066"}, {"ref": "ekikagg/spaceship-titanic-automl", "kernel_id": "36442022"}, {"ref": "filart/spaceship-titanic", "kernel_id": "36065406"}, {"ref": "kimtaehun/spaceship-complete-template-for-classification", "kernel_id": "36401211"}, {"ref": "pranay20485/spaceship-titanic-accuracy-80-rank-300", "kernel_id": "36315039"}, {"ref": "aalyliu/spaceship-titanic-logistic-regression", "kernel_id": "36847647"}, {"ref": "jafarliu92/titanic-spaceship-using-votingclassifier", "kernel_id": "36562523"}, {"ref": "brasilia/spaceship-titanic-lightgbm", "kernel_id": "36772970"}, {"ref": "dragongf/easy-svm-implementation-to-get-more-than-80-5", "kernel_id": "36550843"}, {"ref": "averma111/begninner-space-travel", "kernel_id": "36861190"}, {"ref": "averma111/spaceship-titanic-score-0-94", "kernel_id": "36898633"}, {"ref": "arunpurakkatt/adversarial-validation-xgb", "kernel_id": "36607217"}, {"ref": "dataanalojisan/super-simple-randomforest-baseline", "kernel_id": "36954747"}, {"ref": "cnajisbchjzxb/notebook37fcacafda", "kernel_id": "36799893"}, {"ref": "subodhambade/logisticregression-0-71-accuracy", "kernel_id": "36874897"}, {"ref": "voidlessvoid01/0-80accuracy-spacetitanic", "kernel_id": "36621191"}, {"ref": "rhythmcam/spaceship-titanic-automl-mljar-oop", "kernel_id": "36920260"}, {"ref": "cclinnilcc/spaceship-titanic", "kernel_id": "36934614"}, {"ref": "gurpreetmeelu/pandas-tutorial-spaceship-titanic", "kernel_id": "36560461"}, {"ref": "limguowei/spaceship-titanic-notebook", "kernel_id": "36916560"}, {"ref": "gusthema/spaceship-titanic-with-tfdf", "kernel_id": "36142665"}, {"ref": "saraghasemirad/spaceship-titanic", "kernel_id": "36556000"}, {"ref": "emirhanerbil/spaceship-titanic-79", "kernel_id": "36840556"}, {"ref": "venkatchidambaram/exploring-tf-df-with-spaceship-titanic-dataset", "kernel_id": "36428829"}, {"ref": "augustbirkeland/august2803", "kernel_id": "36559368"}, {"ref": "kajalpandav/spaceship-titanic-using-ml", "kernel_id": "36493468"}, {"ref": "cristinapopa/spaceship-titanic", "kernel_id": "36078093"}, {"ref": "chayangirdhar/chayan-notebook", "kernel_id": "36477089"}, {"ref": "simonovaanna/notebook-anne", "kernel_id": "36020861"}, {"ref": "josepujol/spaceship-titanic-logistic", "kernel_id": "36973343"}, {"ref": "priyanshuganwani09/spaceship-titanic", "kernel_id": "36754873"}, {"ref": "nameissakthi/spaceship-titanic", "kernel_id": "36841568"}, {"ref": "mohamadmmdouh/spaceship-titanic", "kernel_id": "36582407"}, {"ref": "brendancarney24/spaceship-titanic-with-gradientboostingclassifier", "kernel_id": "36898459"}, {"ref": "abhinavdogra002/spaceship-titanic-beginner", "kernel_id": "36970176"}, {"ref": "lucasmarchesoni/spaceship-titanic", "kernel_id": "36323947"}, {"ref": "x1akshay/spaceip-titanic", "kernel_id": "36820300"}, {"ref": "glavianhcastelino/space-titanic-submission", "kernel_id": "36311377"}, {"ref": "rosarioabete/spaceship-randomforestclass", "kernel_id": "36529224"}, {"ref": "sathyanarayanrao89/randomforest-on-spaceship-titanic", "kernel_id": "36474212"}, {"ref": "shimazutomoki/spaceship-titanic", "kernel_id": "36970822"}, {"ref": "suzukifelipe/feature-engineering-ensemblelearning-for-beginners", "kernel_id": "36085010"}, {"ref": "suzukifelipe/spaceship-eda-explained", "kernel_id": "36487062"}, {"ref": "rethinavelyogesh96/kaggle-yogesh", "kernel_id": "36004766"}, {"ref": "ayushjha7/spaceship-survival", "kernel_id": "36807986"}, {"ref": "yash0956/spaceship-decision-tree-with-eda", "kernel_id": "36872305"}, {"ref": "cybersimar08/spaceship-titanic", "kernel_id": "36894182"}, {"ref": "adastroabyssosque/prediction-with-xgb-classifier", "kernel_id": "36702699"}, {"ref": "muhammadareebkhan/spaceship-titanic", "kernel_id": "36558928"}, {"ref": "alexkollaritsch/spaceship-titanic-xgboost", "kernel_id": "36519299"}, {"ref": "hmin123/230418-assignment01-eda", "kernel_id": "36908040"}, {"ref": "lucasfuller96/hyperparameter-tuning-with-optuna", "kernel_id": "36257398"}, {"ref": "mohamedafsal007/space-titanic-prediction", "kernel_id": "36507563"}, {"ref": "alvinmanojalex/spaceshiptitanic-data-preprocessing", "kernel_id": "36195065"}, {"ref": "rupeshmisar/passenger-transported-model-79-25-accuracy", "kernel_id": "36546030"}, {"ref": "paulrowland/spaceship-titanic-tensor-flow", "kernel_id": "36900310"}, {"ref": "akashdasp/spaceship-titanic-notbook", "kernel_id": "36583224"}, {"ref": "tejasvichaturvedi/spaceship-titanic", "kernel_id": "36639487"}, {"ref": "siddhantsindhkar/predict-space-travellers-ensembling", "kernel_id": "36162221"}, {"ref": "nazimcherpanov/spaceship-titanic-beginner-friendly-tutorial", "kernel_id": "36764754"}, {"ref": "utkrishtdutta/notebook691605c1e6", "kernel_id": "36541737"}, {"ref": "krunalpatel2907/spaceship-titanic-first-notebook", "kernel_id": "36473795"}, {"ref": "osmansefacoar/spacehip-titanic-eda-80", "kernel_id": "36105655"}, {"ref": "micaeld/spaceship-titanic-acc-81", "kernel_id": "36364499"}, {"ref": "vikramshankar18/impute-encoding", "kernel_id": "36955823"}, {"ref": "newkaggleusernick/spaceship-titanic", "kernel_id": "36624113"}, {"ref": "arseniigordeichuk/useboosting", "kernel_id": "36282812"}, {"ref": "alifioditya/spaceship-titanic-classification-submission", "kernel_id": "36852183"}, {"ref": "pradeepsapparapu/spaceship-titanic", "kernel_id": "36719912"}, {"ref": "chooyeanchan/space-titanic-beginner-230405", "kernel_id": "36867188"}, {"ref": "vasuadireddy/spaceship-titanic", "kernel_id": "36069305"}, {"ref": "ekaterinadanilkina/spaceship-titanic-ed", "kernel_id": "36589097"}, {"ref": "sgonzalez13/fork-of-titanic-group-3", "kernel_id": "36560372"}, {"ref": "chrishayesf/titanic-spaceship-dd6570", "kernel_id": "36505573"}, {"ref": "phillip0819/spaceship-titanic-23-4-5-begin", "kernel_id": "36882512"}, {"ref": "metlnfoor/space", "kernel_id": "36616757"}, {"ref": "jonathanradcliffe/3rd-comp-spaceship-titanic", "kernel_id": "36025845"}, {"ref": "kemalfaruktalay/spaceship-titanic-eda-visualization-modeling", "kernel_id": "36104615"}, {"ref": "minhkchau/machine-learning-with-r-spaceship-titanic", "kernel_id": "36520423"}, {"ref": "satoshishibasaki/spaceship-titanic-baseline", "kernel_id": "36505074"}, {"ref": "anjusukumaran4/spaceship-titanic", "kernel_id": "36457787"}, {"ref": "niralipatel20/adaboost-spaceship-titanic", "kernel_id": "36165889"}, {"ref": "tnguynfew/titanic-kaggle", "kernel_id": "36346889"}, {"ref": "captaindog/using-tidymodels-and-h2o-in-spaceship-titanic", "kernel_id": "36979367"}, {"ref": "robsonkoji/competition-spaceship-titanic", "kernel_id": "36367577"}, {"ref": "ispolin/notebook44cbe00098", "kernel_id": "36470308"}, {"ref": "torifield/learningr", "kernel_id": "36156436"}, {"ref": "arianavargas/spaceship-titanic-a-complete-guide", "kernel_id": "36285403"}, {"ref": "freazer/freazer-spaceship", "kernel_id": "36919859"}, {"ref": "naokisusami/spaceship-titanic", "kernel_id": "36166479"}, {"ref": "okoloboga/spaceship-titanic-dense-nn", "kernel_id": "36121750"}, {"ref": "allanpereirafenelon/case-ec", "kernel_id": "36727850"}, {"ref": "allanpereirafenelon/ufca-ec", "kernel_id": "36764904"}, {"ref": "savetherainbow/spaceship-forest", "kernel_id": "36628938"}, {"ref": "purecelalexandru/purecelalexandruionut-spacetitanic", "kernel_id": "36000489"}, {"ref": "furikus/spaceship-titanic-furikus", "kernel_id": "36862430"}, {"ref": "furikus/random-tree-spaceship-titanic", "kernel_id": "36876184"}, {"ref": "ilinamircea/notebook87ac6f403d", "kernel_id": "36017171"}, {"ref": "dragoh/spaceboat2", "kernel_id": "36007603"}, {"ref": "dragoh/spaceboat1", "kernel_id": "36007862"}, {"ref": "biancaopriiu/notebookda2b16b423", "kernel_id": "36017351"}, {"ref": "biancaopriiu/fork-of-notebookda2b16b423", "kernel_id": "36021760"}, {"ref": "srilekhana/predicton-for-titanic", "kernel_id": "36010541"}, {"ref": "vladchis/notebook1dea6c5241", "kernel_id": "36001588"}, {"ref": "vladchis/notebook77f500f3f9", "kernel_id": "36015465"}, {"ref": "trydionel/spaceship-titanic", "kernel_id": "36119567"}, {"ref": "angelobaraan/2023-03-spaceship-titanic", "kernel_id": "36558958"}, {"ref": "kasperlindmark/spacetanic-tf-gb", "kernel_id": "36233543"}, {"ref": "lukaszgluck/spaceship-titanic-4-models-with-eda", "kernel_id": "36843597"}, {"ref": "oooraa/notebook21406c56b5", "kernel_id": "36334152"}, {"ref": "jannikca/titanic-competition-with-xgboost", "kernel_id": "36543016"}, {"ref": "lirongo/tar1-titanic", "kernel_id": "36358444"}, {"ref": "majdbadran12/spaceshiptitanic-lr-rf-last-edit", "kernel_id": "36780564"}, {"ref": "tulikadey/spaceship-titanic-eda", "kernel_id": "36877355"}, {"ref": "ookevinzzzoo/spaceship-titanic", "kernel_id": "36611361"}, {"ref": "franciscomora1997/notebook0496fe422a", "kernel_id": "36681703"}, {"ref": "franciscomora1997/notebook5410315013", "kernel_id": "36822162"}, {"ref": "kevinrivera55/spaceship-titanic-2", "kernel_id": "36828351"}, {"ref": "kevinrivera55/spaceship-titanic-1", "kernel_id": "36679497"}, {"ref": "brandoncoronado/notebookb2de3ad5ec", "kernel_id": "36678529"}, {"ref": "brandoncoronado/notebookeae10ea793", "kernel_id": "36863411"}, {"ref": "apokatastasia/notebook62c77d2f30", "kernel_id": "36678598"}, {"ref": "apokatastasia/notebook1ca3cd9fa7", "kernel_id": "36827354"}, {"ref": "mateiandreiionut/main-file", "kernel_id": "36629635"}, {"ref": "snanyavuz/spaceship-titanic-classifier", "kernel_id": "36945677"}, {"ref": "furstenwald/xgboost-and-optuna-to-get-quickly-to-almost-80", "kernel_id": "37920040"}, {"ref": "jayatou/myspaceshiptitanic-r-exploratory-analysis", "kernel_id": "37425359"}, {"ref": "glebmikh/catboost-ms", "kernel_id": "37615780"}, {"ref": "andreaschandra/spaceship-titanic-20-benchmark-lazypredict", "kernel_id": "37665387"}, {"ref": "gpamoukoff/gpt4-attempt", "kernel_id": "37250523"}, {"ref": "rafi03/classification", "kernel_id": "37093958"}, {"ref": "saravanaj/spaceship-titanic-eda-random-forest-and-nn", "kernel_id": "37706540"}, {"ref": "reo0917/spaceship-titanic", "kernel_id": "37988661"}, {"ref": "amitabhphatak/titanic-space-ship", "kernel_id": "37028905"}, {"ref": "qq610396646/space-titanic-models-ensemble", "kernel_id": "37353411"}, {"ref": "beezus666/titanic-space-lgbm-speed-run", "kernel_id": "37625225"}, {"ref": "beezus666/titanic-space-total-overkill", "kernel_id": "37674640"}, {"ref": "chiranjeevisrinivas/prediction-model-for-spaceship-titanic", "kernel_id": "37508415"}, {"ref": "ivanvaccari/score-0-80-voting-approach-hyperparameter-opt", "kernel_id": "37017582"}, {"ref": "yashgoo018/feature-engineering-with-xgboost", "kernel_id": "37479129"}, {"ref": "mohtraor/spaceship-titanic-model-catboost-80-accuracy", "kernel_id": "37184140"}, {"ref": "zeeshanarif53/using-simple-randomforestclassifier", "kernel_id": "37015465"}, {"ref": "zeeshanarif53/ensemble-of-randomforest-svc-and-decisiontree", "kernel_id": "37013266"}, {"ref": "parthavjoshi/spaceship-titanic", "kernel_id": "37292253"}, {"ref": "sankalpsthakur/spaceship-titanic-what-random-cv-hides", "kernel_id": "37402052"}, {"ref": "sumbalzahraameen/ai02-assignment-02-02313042", "kernel_id": "37448605"}, {"ref": "sumbalzahraameen/ai02-assignment-01-02313042", "kernel_id": "37386613"}, {"ref": "aidamoc/space-titanic", "kernel_id": "37320682"}, {"ref": "priyanshu55/different-estimetors-trees-to-linear", "kernel_id": "37656397"}, {"ref": "richardsousaantunes/projeto-titanic-espacial-pt-2", "kernel_id": "37240381"}, {"ref": "ayushrathi47/spaceship-titanic-f1-score-81-blend-model", "kernel_id": "37816227"}, {"ref": "violet2205/notebookb82a08c317", "kernel_id": "37578423"}, {"ref": "juliotorniero/spaceship-titanic-beginners-close-to-80", "kernel_id": "37035221"}, {"ref": "wangyk159/spaceship", "kernel_id": "37277375"}, {"ref": "shobhitmaurya/notebookd45f057a1b", "kernel_id": "37238542"}, {"ref": "anyadikeifeanyi/spaceship-titanic-passenger-predictions", "kernel_id": "37960922"}, {"ref": "jocelyndumlao/spaceship-titanic-pca", "kernel_id": "37704754"}, {"ref": "tetsutani/spaceship-titanic-ensemble-pseudo-labeling-80", "kernel_id": "37004576"}, {"ref": "ggflex/spaceship-titanic-with-random-forest-and-knn", "kernel_id": "37422219"}, {"ref": "yeehawww/titanic-spaceship-competition", "kernel_id": "37953364"}, {"ref": "dnxavier/190912-daniel-190991-ana", "kernel_id": "37596518"}, {"ref": "anantpandey29/spaceship-titanic-ensemble-approach", "kernel_id": "37323429"}, {"ref": "kimjuhyun20171300/ai-assignment-02", "kernel_id": "37289908"}, {"ref": "moatasemmohammed/spaceship-titanic", "kernel_id": "37663537"}, {"ref": "paridhideval/spaceship-titanic-using-r-ica", "kernel_id": "37227181"}, {"ref": "soundslikedata/spaceship-titanic-using-logistic-regression", "kernel_id": "37448198"}, {"ref": "anudeepadiraju/using-pycaret-73-accuracy", "kernel_id": "37353724"}, {"ref": "giriayush/spaceshiptitanic", "kernel_id": "37719665"}, {"ref": "akshayvijaypanchal/space-titanic-competition", "kernel_id": "37738202"}, {"ref": "umarashraf914/assignment-spaceship-titanic", "kernel_id": "37100968"}, {"ref": "johnycooly/pycaret-opuna-lime-shape", "kernel_id": "37405349"}, {"ref": "johnycooly/xgboost-avec-profilereport", "kernel_id": "37048357"}, {"ref": "murilo47474/ac2-spaceship", "kernel_id": "37596467"}, {"ref": "djkim0806/ai-assignment-01", "kernel_id": "37339481"}, {"ref": "cemkarahacoglu/wide-deep-neural-network-for-spaceship-titanic", "kernel_id": "37516530"}, {"ref": "silentki1ler/titanic-space-prediction-2", "kernel_id": "37256804"}, {"ref": "chanchal24/titanic-dataset", "kernel_id": "37318454"}, {"ref": "aliabedimadiseh/submission-titanic", "kernel_id": "37835492"}, {"ref": "nikhilsharma1212/spaceship-titanic", "kernel_id": "37604132"}, {"ref": "ashx010/spaceship-titanic-analysis-and-prediction-model", "kernel_id": "37607502"}, {"ref": "warriorwizard/spaceship-titanic", "kernel_id": "37969939"}, {"ref": "angelokipropsang/the-spaceship-titanic", "kernel_id": "37704398"}, {"ref": "nadzeyalazerka/nadzeya-lazerka-assignment-1", "kernel_id": "37033458"}, {"ref": "tirth4nkar/titanic-survival-prediction", "kernel_id": "37551835"}, {"ref": "igorcapistrano/ac2-ia", "kernel_id": "37185865"}, {"ref": "colabra/final", "kernel_id": "37853923"}, {"ref": "m4nugnzl/spaceship-titanic-top-100-score", "kernel_id": "37466074"}, {"ref": "m4nugnzl/spaceship-titanic-eda-knnimputer-xgboost-ensemble", "kernel_id": "37063802"}, {"ref": "artemkhadris/spaceship-titanic-tf", "kernel_id": "37994698"}, {"ref": "krishnababur/spaceship-titanic-using-lr-rf-xgb-ann-with-80", "kernel_id": "37335393"}, {"ref": "vikramshankar18/keras-l2regularizer", "kernel_id": "37499272"}, {"ref": "vikramshankar18/xgboost-kfold", "kernel_id": "37237590"}, {"ref": "alessandrolobello/spaceship-titanic", "kernel_id": "37573876"}, {"ref": "fernandin83/spaceship-titanic", "kernel_id": "37254141"}, {"ref": "liviniasaputra/assignment-01-eda-ls", "kernel_id": "37322766"}, {"ref": "marioosama/end-to-end-spaceship-titanic-model", "kernel_id": "37918494"}, {"ref": "b3g0rr/missing-passengers", "kernel_id": "37087035"}, {"ref": "satoshishibasaki/spaceship-titanic-lightgbm-kfolds", "kernel_id": "37164667"}, {"ref": "usakshaya/spaceship-titanic", "kernel_id": "37260335"}, {"ref": "furduisorinoctavian/spaceship-titanic-79-75-gradient-boosting", "kernel_id": "37699710"}, {"ref": "celebi07/spaceship-titanic", "kernel_id": "37831316"}, {"ref": "ximader/spaceship-titanic-catboost-acc-80-8", "kernel_id": "37035874"}, {"ref": "atrlkwqr/exercise-space-titanic", "kernel_id": "37974758"}, {"ref": "arunklenin/space-titanic-eda-advanced-feature-engineering", "kernel_id": "37922855"}, {"ref": "yemiclaudia/spaceship-titanic-with-catboost", "kernel_id": "37861518"}, {"ref": "imih3na/competition-spaceship-titanic-catboost", "kernel_id": "37063128"}, {"ref": "issamjebnouni/spaceship-titanic-eda", "kernel_id": "37615260"}, {"ref": "issamjebnouni/preprocess-data-train-models", "kernel_id": "37622200"}, {"ref": "jeonghaso/20230417-assignment", "kernel_id": "37360149"}, {"ref": "bangminseon/ust-assignment02-02321025", "kernel_id": "37142324"}, {"ref": "ehkim9580/spaceship-titanic-eda-ehkim-02212041", "kernel_id": "37413731"}, {"ref": "ulfahdwikurniawati/ai02-assignment01-ulfah-dwi-kurniawati", "kernel_id": "37325383"}, {"ref": "chromyum/spaceship-t", "kernel_id": "37142098"}, {"ref": "kimoonlee/ai01-assignment02-kimoonlee-ust-kari", "kernel_id": "37211832"}, {"ref": "yujinleeust/20230418-hw-1-eda", "kernel_id": "37375478"}, {"ref": "thimote/homework-assignment-timothe-krummenacker-20230405", "kernel_id": "37033136"}, {"ref": "mdmhamudulhassan/assignment-for-submission", "kernel_id": "37064750"}, {"ref": "jangjb/ust-ai-assignment01", "kernel_id": "37101637"}, {"ref": "khishigjargalg/1-classification-lastversion", "kernel_id": "37191490"}, {"ref": "nguyenthikieuanh/assignment-01-anh-ntk", "kernel_id": "37393318"}, {"ref": "lyreuikyn/ust-ai-lecture-assignment-01", "kernel_id": "37347949"}, {"ref": "nguyentrantuuyen/nguyen-tran-tu-uyen-assignment01-submission", "kernel_id": "37396412"}, {"ref": "afifahhanumamahoru/assignment01-aha", "kernel_id": "37101390"}, {"ref": "sanggyupark/ai-assignment01", "kernel_id": "37095588"}, {"ref": "junhaeng007/ai-assignment01", "kernel_id": "37149535"}, {"ref": "jeongsojin/assignment-jeongsojin-ust-kaeri", "kernel_id": "37313291"}, {"ref": "sollveen/230418-ai-assignment01", "kernel_id": "37417186"}, {"ref": "esheo0/2023-1-assignment01-kribb", "kernel_id": "37331455"}, {"ref": "seonhwajung/spaceship-titanic-eda-ai01", "kernel_id": "37244495"}, {"ref": "kbskbsbs/notebook8ae0649320", "kernel_id": "37251263"}, {"ref": "bumsooshin/assignment-ai01-bumsooshin", "kernel_id": "37418351"}, {"ref": "profwoo/ai-assignment", "kernel_id": "37354781"}, {"ref": "jssiga/20230416-ai01-1", "kernel_id": "37346284"}, {"ref": "hanzla99/spaceship-titanic-solution-hanzla-munir", "kernel_id": "37367049"}, {"ref": "aryan96sharma/spaceship-titanic-prediction", "kernel_id": "37884394"}, {"ref": "anjalibansal14/spaceship-titanic", "kernel_id": "37816283"}, {"ref": "hamdineffati/spaceship-titanic-attempt", "kernel_id": "37678815"}, {"ref": "divyanshnautiyal/space-titanic", "kernel_id": "37510821"}, {"ref": "olibergs/spaceship-titanic-using-random-forest-classifier", "kernel_id": "37061629"}, {"ref": "vcode1509/spaceship-titanic-first-nb", "kernel_id": "37833732"}, {"ref": "uzareen/titanic-dataset-industrial-attachment", "kernel_id": "37555387"}, {"ref": "adamkulik/space-titanic", "kernel_id": "37081018"}, {"ref": "mihajloo/catboost-is-all-you-need-for-81-short-and-easy", "kernel_id": "37288090"}, {"ref": "tsshinde/spaceship-titanic", "kernel_id": "37821144"}, {"ref": "maharshoaib/spaceship-titanic-with-tfdf", "kernel_id": "37544468"}, {"ref": "jetttipsword/machine-learning-final-project", "kernel_id": "37960283"}, {"ref": "harrshsinghhh/notebook9ec4bddcfe", "kernel_id": "37540345"}, {"ref": "weltherconstantino/ac2-ia", "kernel_id": "37629807"}, {"ref": "kunshu14/using-randomforestclassifier", "kernel_id": "37186135"}, {"ref": "heldercr/spaceship-titanic-with-tfdf-0c0bcd", "kernel_id": "37479248"}, {"ref": "matheusgma/ac2-teste-1", "kernel_id": "37591378"}, {"ref": "lafontolanx/spaceship-ac2-ia", "kernel_id": "37375571"}, {"ref": "leonardomartins388/atividade-ia-ac2-facens", "kernel_id": "37642030"}, {"ref": "luankleber/ac2-ia-spaceship", "kernel_id": "37185781"}, {"ref": "mohammedalbloshii/spaceship-titanic-classification-regressionmodels", "kernel_id": "37288268"}, {"ref": "lucasfontan/ac2-random-forest", "kernel_id": "37638116"}, {"ref": "waldikrosa/200979-waldik-santos-jr", "kernel_id": "37563936"}, {"ref": "xysserena/spaceship-titanic-xgboost-rf-nb-with-eda", "kernel_id": "37530644"}, {"ref": "mprenan/spacetitanic-facens-ac2", "kernel_id": "37600730"}, {"ref": "abhishekininja101/notebook2da89bbf87", "kernel_id": "37606773"}, {"ref": "debapriyoguha/spaceship-titanic", "kernel_id": "37622941"}, {"ref": "felipegalhardo/ac2-ia", "kernel_id": "37563519"}, {"ref": "kaiomcostalemos/spaceship-titanic-ia-ac2", "kernel_id": "37589911"}, {"ref": "twinpilgrim/spaceshiptitanic-xgboost-score-81-5", "kernel_id": "38347768"}, {"ref": "xpehutta/dimensionality-reduction-and-feature-selection", "kernel_id": "38625521"}, {"ref": "tronrover/among-the-elite-top-100-spaceship-titanic", "kernel_id": "38469123"}, {"ref": "leodaniel/code-quality-clearly-explained", "kernel_id": "38325597"}, {"ref": "leopoldosprandel/clubinho-01-spaceship-titanic", "kernel_id": "38690805"}, {"ref": "nivedithavudayagiri/spaceship-titanic-eda-voting", "kernel_id": "38994501"}, {"ref": "jimmyyeung/spaceship-titanic-xgb-top5", "kernel_id": "38694815"}, {"ref": "abdelmoughitbouddine/notebookbab6c31302", "kernel_id": "38491718"}, {"ref": "abdelmoughitbouddine/spaceship-titanic-notebook", "kernel_id": "38491486"}, {"ref": "cheonwon/spaceship-titanic", "kernel_id": "38351054"}, {"ref": "kharanshuvalangar/eda-on-spaceship-dataset", "kernel_id": "38244429"}, {"ref": "sasayaka/spaceship-titanic-lightgbm-score-0-80687", "kernel_id": "38769066"}, {"ref": "basrieco/spaceship-titanic-prediction", "kernel_id": "38808374"}, {"ref": "deveshchaudhary7606/spaceship-titanic-eda-rgression", "kernel_id": "38480645"}, {"ref": "sanjibansantra/titanicspaceshipml", "kernel_id": "38309715"}, {"ref": "attasitwiangkham/basic-eda-and-adaboost-modeling", "kernel_id": "38440827"}, {"ref": "pohzixiang/spaceship-titanic-competition-zx", "kernel_id": "38723098"}, {"ref": "ducklingming/v4-1-neural-net", "kernel_id": "38780121"}, {"ref": "brinssialaaeddine/difference-between-indexing-with-loc-and-with-iloc", "kernel_id": "38592433"}, {"ref": "mertcancatak/spaceship-titanic-prediction-using-catboost", "kernel_id": "38700803"}, {"ref": "gengchensun/notebook09156eadc8", "kernel_id": "38231446"}, {"ref": "jayashreeravikumar/spaceshiptitanic-randomfores-77-8", "kernel_id": "38058843"}, {"ref": "shroddhaghosh/spaceship-prediction-using-lr", "kernel_id": "38855372"}, {"ref": "scss17/spaceship-titanic-competition", "kernel_id": "38132653"}, {"ref": "shreyshah6699/notebook1c834ae7f7", "kernel_id": "38172699"}, {"ref": "amoghshukla/missing-values-eda-and-histboost-classifier", "kernel_id": "38794511"}, {"ref": "halveluve/notebookd845e2fcbc", "kernel_id": "38684138"}, {"ref": "bhuvanagayathri/spaceship-titanic", "kernel_id": "38895921"}, {"ref": "jiyajiwon/spaceship-titanic-eda", "kernel_id": "38248156"}, {"ref": "jiyajiwon/smcl-team-6-spaceship-titanic", "kernel_id": "38350926"}, {"ref": "salsabilanmahmudah/spaceship-competition-random-forest", "kernel_id": "38095667"}, {"ref": "alexandrequintin/spaceshiptitanic", "kernel_id": "38815570"}, {"ref": "barikisuahmed/notebook85e042632d", "kernel_id": "38153843"}, {"ref": "phanendrasairam/titanic-spaceship-transportation-prediction", "kernel_id": "38630613"}, {"ref": "xxeonyuk/3spacetitanic", "kernel_id": "38996797"}, {"ref": "dmtnikolaev/notebookb131db51f6", "kernel_id": "38848787"}, {"ref": "indraneeldey/spaceship-titanic", "kernel_id": "38051579"}, {"ref": "umarashraf914/assignment-number-2-ai", "kernel_id": "38682222"}, {"ref": "cholebhature/spaceship-titanic", "kernel_id": "38707038"}, {"ref": "yuichiromonden/spaceship-titanic-01", "kernel_id": "38290034"}, {"ref": "djkim0806/ai-assignment-02", "kernel_id": "38941906"}, {"ref": "guirlp/notebook0450ac23b1", "kernel_id": "38614089"}, {"ref": "emre1kays/space-ship-proje", "kernel_id": "38067854"}, {"ref": "manasrai1406/spaceship-001", "kernel_id": "38862465"}, {"ref": "liamarguedas/spaceship-titanic-notebook-walkthrough", "kernel_id": "38040336"}, {"ref": "taehogil/spaceship-titanic", "kernel_id": "38341960"}, {"ref": "marvellouschester/spaceship-titanic-with-tfdf-62367e", "kernel_id": "38272005"}, {"ref": "whl2333/notebooka8796f2ba4", "kernel_id": "38421447"}, {"ref": "hmin123/230524-assignment02", "kernel_id": "38334207"}, {"ref": "felixunlimited/hello-spaceship-titanic", "kernel_id": "38061019"}, {"ref": "kuldeeppatidar/spaceshiptitanic", "kernel_id": "38388681"}, {"ref": "diodupont/spaceship-eda-rna", "kernel_id": "38334508"}, {"ref": "shivanshuverma/beginners-code-with-logistic-and-random-forest", "kernel_id": "38701171"}, {"ref": "nadzeyalazerka/nadzeya-lazerka-final-based-on-assignment-2", "kernel_id": "38338244"}, {"ref": "daiki00/spaceship-titanic-in-japanese", "kernel_id": "38728019"}, {"ref": "catusico00/spaceship-titanic", "kernel_id": "38349115"}, {"ref": "watergoggkes123/6week-pareprogramming", "kernel_id": "38932897"}, {"ref": "kondetisandeep/spaceship-titanic", "kernel_id": "38955180"}, {"ref": "zeyken0/titanic-spaceship-2", "kernel_id": "38159070"}, {"ref": "uyzz9755/spaceship-titanic", "kernel_id": "38104975"}, {"ref": "aashitagrawal/eda-randonforestclassifier-spaceship-titanic", "kernel_id": "38937597"}, {"ref": "brennanwadsworth/space-titanic-230508", "kernel_id": "38266597"}, {"ref": "saratsaibammidi/spaceshipnew", "kernel_id": "38883891"}, {"ref": "eishkaran/spaceship-eda-submission", "kernel_id": "38251104"}, {"ref": "naziakamali/exploring-spaceship", "kernel_id": "38721884"}, {"ref": "shaikhabdulrafay03/ai-project", "kernel_id": "38396176"}, {"ref": "lukastaylor2/titanic-spaceship-mass-testing-of-estimators-v2", "kernel_id": "38675559"}, {"ref": "hseyinkalkan/spaceshiptitanic-xgbclassifier-optuna", "kernel_id": "38820779"}, {"ref": "liviniasaputra/ai02-assignment-02-ls", "kernel_id": "38890807"}, {"ref": "minkhantmk19/spaceship-titanic-logistic-regression-eda", "kernel_id": "38138333"}, {"ref": "dishaasinghi/spaceship-titanic-eda-decision-tree", "kernel_id": "38350383"}, {"ref": "himanshusinghal19/space-titanic", "kernel_id": "38569191"}, {"ref": "himanshusinghal19/space-titanic-2-0", "kernel_id": "38614335"}, {"ref": "maxagrafa/spacetitanic-with-randomforest", "kernel_id": "38771920"}, {"ref": "athrunzala/spaceship-with-xgbclassifier-use-simple-preprocess", "kernel_id": "38944205"}, {"ref": "mdrafsanjami1815024/spaceship-project-1", "kernel_id": "38636682"}, {"ref": "georgekovin/kovin-spaceship", "kernel_id": "38481270"}, {"ref": "computervisi/best-models-spaceship-titanic", "kernel_id": "38637090"}, {"ref": "kingki19/tugas-akhir-statistika", "kernel_id": "38196373"}, {"ref": "nofear12138/kaggle-titanic", "kernel_id": "38714930"}, {"ref": "giovanipedroso/space-titanic", "kernel_id": "38378007"}, {"ref": "moshebetaff/spaceship-titanic-final-zyf", "kernel_id": "38639726"}, {"ref": "jeonghaso/final-ai01-ust-j", "kernel_id": "38944705"}, {"ref": "ehkim9580/ust-ehkim-02212041-lr-v20230524", "kernel_id": "38947633"}, {"ref": "ulfahdwikurniawati/ai02-assignment02-ulfah-dwi-kurniawati", "kernel_id": "38758464"}, {"ref": "faizalade/assignment02-ai02-faizal-ade", "kernel_id": "38890682"}, {"ref": "chromyum/notebookccfb9171f9", "kernel_id": "38967741"}, {"ref": "kimoonlee/ai-assignment02-kimoonlee-ust-kari", "kernel_id": "38532882"}, {"ref": "yujinleeust/ust-ai-hw-2", "kernel_id": "38944128"}, {"ref": "kareemnasser/tito-space", "kernel_id": "38808713"}, {"ref": "anayoonfariadelima/modelos-de-machine-learning", "kernel_id": "38749288"}, {"ref": "mdmhamudulhassan/assignment-02", "kernel_id": "38625066"}, {"ref": "mdmhamudulhassan/ai-assignment-02", "kernel_id": "38940463"}, {"ref": "jangjb/ai-assignment02-kriso", "kernel_id": "38574650"}, {"ref": "khishigjargalg/data-preprocessing-and-validation", "kernel_id": "38954909"}, {"ref": "nguyenthikieuanh/assignment-02-anh-ntk", "kernel_id": "38936992"}, {"ref": "lyreuikyn/ust-ai-lecture-assignment-02", "kernel_id": "38823547"}, {"ref": "nguyentrantuuyen/ai02-submission-uyen", "kernel_id": "38966004"}, {"ref": "afifahhanumamahoru/ai02-02322028-predictions", "kernel_id": "38621094"}, {"ref": "sanggyupark/ai-assignment02", "kernel_id": "38878040"}, {"ref": "junhaeng007/ai-assignment02", "kernel_id": "38845933"}, {"ref": "jeongsojin/ust-assignment2-jeong-sojin", "kernel_id": "38910869"}, {"ref": "sollveen/assignment02-ust", "kernel_id": "38679752"}, {"ref": "esheo0/2023-1-assignment-02", "kernel_id": "38951741"}, {"ref": "seonhwajung/ai-assignment", "kernel_id": "38961977"}, {"ref": "kbskbsbs/ust-ai-assignment02-kbs", "kernel_id": "38935858"}, {"ref": "bumsooshin/ai01-assignment-02-bum-soo-shin", "kernel_id": "38884620"}, {"ref": "profwoo/ai-assignment2-1", "kernel_id": "38884982"}, {"ref": "jssiga/20230524-ai01-assignment2", "kernel_id": "38836251"}, {"ref": "hellomishraa/spaceship-titanic-rf", "kernel_id": "38856903"}, {"ref": "hanzla99/ai-homework-2-hanzla-02121036", "kernel_id": "38846592"}, {"ref": "arpitmathur24/spaceship-titanic", "kernel_id": "38130024"}, {"ref": "ajayrahulprasad/spaceship-titanic", "kernel_id": "38219173"}, {"ref": "csupples/spaceship-titanic", "kernel_id": "38241057"}, {"ref": "igorcanelo/titanic-spaceship", "kernel_id": "38369489"}, {"ref": "pillasaipavan/spaceship-titanic", "kernel_id": "38999654"}, {"ref": "eduardomarinho44/spaceship-titanic-competition", "kernel_id": "38487462"}, {"ref": "abuhuzaifahbidin/titanicspace2", "kernel_id": "38093579"}, {"ref": "w0ldemar/notebook85fa52543d", "kernel_id": "38432910"}, {"ref": "nagendrads/spaceship-titanic-boosting", "kernel_id": "38567587"}, {"ref": "tangyble/spaceship-titanic", "kernel_id": "38511072"}, {"ref": "yonidb/notebookda99dc4a1a", "kernel_id": "38410572"}, {"ref": "shchalex/spaceship-titanic-xgboost-0-807", "kernel_id": "38947144"}, {"ref": "myeongkyuncho/spaceship-titanic", "kernel_id": "38807309"}, {"ref": "omraj12/spaceship-titanic", "kernel_id": "38133435"}, {"ref": "kubagarncarek/spaceship-titanic-challenge", "kernel_id": "38909278"}, {"ref": "behnambaloochy/spaceship-titanic", "kernel_id": "38801532"}, {"ref": "ayoaye/pendekar-data", "kernel_id": "38275222"}, {"ref": "atishaysinghai/space-titanic", "kernel_id": "38433656"}, {"ref": "gyemoolee/spaceship-titanic-eda-27-different-models", "kernel_id": "38314664"}, {"ref": "helmuttischler/notebook-spaceshiptitanic", "kernel_id": "38372723"}, {"ref": "nibeditasahu/titanic-spaceship-prediction", "kernel_id": "38726435"}, {"ref": "nibeditasahu/spaceship-titanic-prediction-simplified-version", "kernel_id": "38743001"}, {"ref": "leomoon7180/logisticregression", "kernel_id": "38977011"}, {"ref": "lidongxu/notebooka81970f541", "kernel_id": "38587986"}, {"ref": "stefangass/notebookf1463fe870", "kernel_id": "38801238"}, {"ref": "prnvthkkr/titanic-using-tree-classification", "kernel_id": "38983091"}, {"ref": "haileyko/spaceship-titanic-the-babystep", "kernel_id": "38989349"}, {"ref": "rahimiridzal/spaceship-preprocessing-decisiontree-numpy-only", "kernel_id": "38872176"}, {"ref": "whywin/final-work", "kernel_id": "38994796"}, {"ref": "glebmikh/catboost-masterclass-ds64", "kernel_id": "39140276"}, {"ref": "neomaster1994/power-of-randomnes", "kernel_id": "39752272"}, {"ref": "pndanilov/v9-spaceship-titanic-catboost-logistic-reg", "kernel_id": "39109943"}, {"ref": "mexwell/eda-feature-engineering-baseline-lightgbm", "kernel_id": "39877698"}, {"ref": "egeerkmen/power-up-with-neuralguru-autokeras", "kernel_id": "39483082"}, {"ref": "sovandash/spaceship-titanic-0-8075-accuracy", "kernel_id": "39048770"}, {"ref": "edilsoncastro/spaceship-titanic-with-pipeline", "kernel_id": "39973250"}, {"ref": "xavilearns/notebookf6bcaa60b1", "kernel_id": "39645346"}, {"ref": "basrieco/space-ship-score79-5", "kernel_id": "39267295"}, {"ref": "basrieco/space-ship-score79", "kernel_id": "39147522"}, {"ref": "ducklingming/v5-randomizedsearch-w-randomforestclassifier", "kernel_id": "39178599"}, {"ref": "brinssialaaeddine/spaceship-titanic-knn-imputation", "kernel_id": "39585876"}, {"ref": "danb91/tfdf-and-kerastuner-nn", "kernel_id": "39845482"}, {"ref": "jacksontangqunyao/spaceship-titanic-prediction", "kernel_id": "39100975"}, {"ref": "mahadahmed/notebookc475e15db1", "kernel_id": "39810455"}, {"ref": "njnafir/spaceship-titanic-with-tfdf", "kernel_id": "39299674"}, {"ref": "varunraskar/spaceshiptitanic", "kernel_id": "39808255"}, {"ref": "suraj520/lb-0-79-analysis-predicting-transported-to", "kernel_id": "39342305"}, {"ref": "azmiaulia/spaceshiptitanica3", "kernel_id": "39246180"}, {"ref": "abdallahelsokary/notebook161a3d3f9c", "kernel_id": "39134022"}, {"ref": "mohamedelsheikh20/m-sh-spaceship-titanic", "kernel_id": "39829237"}, {"ref": "indraneeldey/spaceship-titanic-2nd-attempt", "kernel_id": "39173126"}, {"ref": "shivamsingh17072001/notebookdf43872fed", "kernel_id": "39914590"}, {"ref": "umarashraf914/classification-ai-final", "kernel_id": "39728888"}, {"ref": "deepikashh/spaceship-titanic", "kernel_id": "39351574"}, {"ref": "orhanweb/space-ship-titanic-svc", "kernel_id": "39343959"}, {"ref": "orhanweb/space-ship-titanic-neural-network", "kernel_id": "39297208"}, {"ref": "diegofagu/spaceship-titanic-test", "kernel_id": "39247905"}, {"ref": "kalethething/random-forest-classification", "kernel_id": "39077603"}, {"ref": "ahmedelbashir99/spaceship-titanic", "kernel_id": "39928152"}, {"ref": "manishkumar7432698/0-87-score-code-in-top-100", "kernel_id": "39015145"}, {"ref": "shreyasnaphad/spaceship-titanic-using-xgboost-80-accuracy", "kernel_id": "39946632"}, {"ref": "dhanrajmalla/using-automl", "kernel_id": "39414427"}, {"ref": "chiejuwonsfx/spaceship-titanic-cjfx", "kernel_id": "39524355"}, {"ref": "frizmoo/catboost-spaceship-titanic-eda-78-accuracy", "kernel_id": "39983927"}, {"ref": "hmin123/final-part1-classification-v3", "kernel_id": "39850003"}, {"ref": "michaelschulstad/spaceship-titanic", "kernel_id": "39567179"}, {"ref": "vijayjoshi17/seaborn-guide-all-important-plots", "kernel_id": "39820740"}, {"ref": "ekaterinarodionova/rodionova-0-81", "kernel_id": "39429891"}, {"ref": "percedal/eda-fe-multiple-models-ridge-classifier", "kernel_id": "39062077"}, {"ref": "kagankoral/spaceship-titanic-analysis-model", "kernel_id": "39889526"}, {"ref": "vaigood/pp-final-2-3-spaceship-titanic", "kernel_id": "39426843"}, {"ref": "alexsantostavares/trabalho2minera-orn", "kernel_id": "39199680"}, {"ref": "alexsantostavares/trabalhominera-o2arv", "kernel_id": "39369977"}, {"ref": "karolissimkevicius/spaceship-titanic-final-project", "kernel_id": "39557428"}, {"ref": "atefbouzid/score-boosting-ideas-spaceship-titanic", "kernel_id": "39974308"}, {"ref": "minalijain/spaceship-titanic", "kernel_id": "39000485"}, {"ref": "themrityunjaypathak/spaceship-titanic-classification", "kernel_id": "39815902"}, {"ref": "taissirboukrouba/spaceship-titanic-using-logistic-regression", "kernel_id": "39427128"}, {"ref": "julio4ai/comprehensive-spaceship-titanic-for-80", "kernel_id": "39579234"}, {"ref": "conan0730/spaceship-titanic-hs", "kernel_id": "39568054"}, {"ref": "anjusukumaran4/spaceship-titanic-10-models", "kernel_id": "39252791"}, {"ref": "rajeshkuchhadia/spaceship-titanic", "kernel_id": "39210129"}, {"ref": "bhanupratapbiswas/analysis-predicting-transported-to", "kernel_id": "39538069"}, {"ref": "bhanupratapbiswas/analysis-predicting", "kernel_id": "39538124"}, {"ref": "mandapallijahnavi/spaceship", "kernel_id": "39177076"}, {"ref": "ebryhl/0-80173-spaceship-titanic-beginner-walkthrough", "kernel_id": "39921525"}, {"ref": "aldrin789/a-naive-approach", "kernel_id": "39252558"}, {"ref": "greaaaaaaat/myfirsttry", "kernel_id": "39264000"}, {"ref": "omergamie/titanic-mystery-revealed", "kernel_id": "39266316"}, {"ref": "aaaaaadssdasdasd/spaceship-titanic-tutorial", "kernel_id": "39181600"}, {"ref": "jeonghaso/final-ai01-j4", "kernel_id": "39990230"}, {"ref": "bangminseon/ust-assignment02-02321025-v1", "kernel_id": "39899094"}, {"ref": "ulfahdwikurniawati/ai02-final-project-1-ulfah-dwi-kurniawati", "kernel_id": "39960518"}, {"ref": "kimoonlee/ai-final-project-part01-classification-kimoonlee", "kernel_id": "39855497"}, {"ref": "oziboy/fork-of-spaceship-random-forest", "kernel_id": "39928505"}, {"ref": "nguyenthikieuanh/final-exam-classification", "kernel_id": "39212817"}, {"ref": "sanggyupark/final-task-classification", "kernel_id": "39851359"}, {"ref": "profwoo/ai-final-project1", "kernel_id": "39950031"}, {"ref": "kirtanmatalia26/spaceship-titanic-using-gradientboosting", "kernel_id": "39551923"}, {"ref": "pryseolg/spaceship-titanic", "kernel_id": "39718285"}, {"ref": "mimansari/spaceship-titanic-best", "kernel_id": "39210528"}, {"ref": "at1and/titanic", "kernel_id": "39262811"}, {"ref": "sidhireddyaneesh/spaceship-titanic-submission-1", "kernel_id": "39642523"}, {"ref": "taylordaugherty/spaceship-titanic-competition-cv-2023-6-13", "kernel_id": "39926264"}, {"ref": "laskarpritam/space-titanic-eda-and-randomforest", "kernel_id": "39629468"}, {"ref": "mattiabricchi/titanic-spaceship", "kernel_id": "39143386"}, {"ref": "abdulrahmanatef/spaceship-titanic", "kernel_id": "39193345"}, {"ref": "nihalrathore/notebook", "kernel_id": "39087981"}, {"ref": "laparicio/spaceship-titanic-easy-approach", "kernel_id": "39530656"}, {"ref": "douglasstrappasson/notebooka55d4124ed", "kernel_id": "39244572"}, {"ref": "fercabr/p-02-titanic-spaceship-v2-0", "kernel_id": "39283586"}, {"ref": "ebubekirbaktr/ml-1-titanic-hw", "kernel_id": "39661149"}, {"ref": "shashwatsaini04/spaceship-titanic", "kernel_id": "39867451"}, {"ref": "terukiss/notebook9a9aeef813", "kernel_id": "39001457"}, {"ref": "weichens/eda-optuna-and-xgboost", "kernel_id": "39208086"}, {"ref": "robertvvvvv/spaceship-titanic-decissiontreeclassifier-0-79097", "kernel_id": "39096628"}, {"ref": "robertvvvvv/spaceship-titanic-randomforestclassifier-0-78933", "kernel_id": "39096816"}, {"ref": "robertvvvvv/spaceship-titanic-ann-classifier-score-0-79985", "kernel_id": "39154165"}, {"ref": "robertvvvvv/spaceship-titanic-ann-classifier-score-0-80476", "kernel_id": "39606594"}, {"ref": "robertvvvvv/spaceship-titanic-ann-top-10-score-0-80921", "kernel_id": "39803700"}, {"ref": "augustina18/spaceship-titanic-classwork", "kernel_id": "39819964"}, {"ref": "kolambekalpesh/spaceship-titanic", "kernel_id": "39432668"}, {"ref": "kyliesmith12/notebooke95be9948f", "kernel_id": "39563282"}, {"ref": "stefanie770/final-lab", "kernel_id": "39469349"}, {"ref": "murtaza88/notebookc50de5c188", "kernel_id": "39129144"}, {"ref": "maybenottoday/notebook9f1e877dda", "kernel_id": "39305679"}, {"ref": "vineetatyam/initial-build-without-feature-selection", "kernel_id": "39513330"}, {"ref": "cpariver/spaceship-titanic-with-tfdf", "kernel_id": "39583055"}, {"ref": "xiefei/spaceship-titanic-learning", "kernel_id": "40473592"}, {"ref": "sinanozdemir/spaceship-titanic-transported-xgboost", "kernel_id": "40658852"}, {"ref": "suyashkhare/spaceship-titanic-eda", "kernel_id": "40393893"}, {"ref": "vladisov/spaceship-titanic-using-fast-ai", "kernel_id": "40252455"}, {"ref": "duykhanh99/eda-week1-fds01", "kernel_id": "40208772"}, {"ref": "melfeghi/spaceship-titanic-competition-final", "kernel_id": "40549089"}, {"ref": "neomaster1994/notebook-spaceship-titanic-sang", "kernel_id": "40328385"}, {"ref": "juancgar/space-titanic", "kernel_id": "40731402"}, {"ref": "modenno/notebook742f403ae5", "kernel_id": "40122954"}, {"ref": "cwright017/spaceship-titanic-fastai", "kernel_id": "40200647"}, {"ref": "prashantoza/using-only-random-forest", "kernel_id": "40992242"}, {"ref": "tanmaygupta123/random-forest-classifier", "kernel_id": "40417950"}, {"ref": "sumbalzahraameen/finaltermprojectpart1-classification-02313042", "kernel_id": "40273864"}, {"ref": "sumbalzahraameen/02313042-ai02part1classification", "kernel_id": "40274066"}, {"ref": "sumbalzahraameen/finaltermprojectpart1-classification-02313042-6mod", "kernel_id": "40363927"}, {"ref": "duncankmckinnon/spaceship-titanic-r-feature-engineering-analysis", "kernel_id": "40697591"}, {"ref": "michagrela/0-80266-accuracy-xgboost-classifier", "kernel_id": "40384857"}, {"ref": "prathameshchaudhari/80-accuracy-spaceship-titanic-prediction", "kernel_id": "40925677"}, {"ref": "themlphdstudent/spaceship-titanic-tutorial-for-beginners", "kernel_id": "40863905"}, {"ref": "sauravkumr/spaceship-titanic", "kernel_id": "40404475"}, {"ref": "lovinggirls/ready-to-use-pipeline-baseline-beginner", "kernel_id": "40138660"}, {"ref": "hagura/notebook93203a9d20", "kernel_id": "40362555"}, {"ref": "loki4514/space-titanic-eda-outliers-mitigation-modeling", "kernel_id": "40875756"}, {"ref": "eslamfouad/statistics-behind-forecasting-models", "kernel_id": "40320782"}, {"ref": "igorprikhodko/spaceship-titanic", "kernel_id": "40120812"}, {"ref": "ukimura108/lgbmc-catboost-0-81", "kernel_id": "40187704"}, {"ref": "sreevaatsavbavana/spaceship-data-eda-modelling", "kernel_id": "40765050"}, {"ref": "yongwaiho/self-learning-based-on-spaceship-titanic-dataset", "kernel_id": "40416180"}, {"ref": "kimjuhyun20171300/final-1", "kernel_id": "40437352"}, {"ref": "gonewithharshwinds/lost-in-space-predicting-dimensional-transport", "kernel_id": "40683320"}, {"ref": "henryanand/space-titanic", "kernel_id": "40040074"}, {"ref": "rohanbobby/rfc-xgb-and-logisticreg", "kernel_id": "40969501"}, {"ref": "rohanbobby/spaceship-tensorflow-vs-randomforest", "kernel_id": "40829508"}, {"ref": "spaceball0929/spaceship-titanic-by", "kernel_id": "40123703"}, {"ref": "nyinyeinaung/space-titanic-prediction-using-rnn", "kernel_id": "40621383"}, {"ref": "djkim0806/ai-assignment-final-01-02221033-kimdongjin", "kernel_id": "40196449"}, {"ref": "jocker3/spaceship-titanic", "kernel_id": "40355982"}, {"ref": "golammostofas/spaceship-titanic-for-beginner", "kernel_id": "40818079"}, {"ref": "chanchal24/spaceship-titanic", "kernel_id": "40243342"}, {"ref": "yasseralwan/spaceship-titanic-validation-eda-prediction", "kernel_id": "40974522"}, {"ref": "cybersimar08/ml-models-from-scratch", "kernel_id": "40287125"}, {"ref": "chaitanyasrikanth/spaceship-titanic-eda-79-939-score", "kernel_id": "40505766"}, {"ref": "anurgjuyl/spaceship-titanic", "kernel_id": "40390800"}, {"ref": "ahmadalqawasmeh/spaceship-titanic-advanced-classification", "kernel_id": "40670890"}, {"ref": "shellsquareganeshan/space-titanic-80-acc-with-random-forest", "kernel_id": "40536425"}, {"ref": "darkmarey/spaceship-titanic", "kernel_id": "40275368"}, {"ref": "rockeyeinzbern/notebook-spaceshiptitanic", "kernel_id": "40199907"}, {"ref": "salahmuhammad/beautiful-titanic-ship-classification-0-799", "kernel_id": "40976722"}, {"ref": "violetmakena/spaceship-titanic-survival-prediction", "kernel_id": "40242822"}, {"ref": "ioanniskoutalios/multiple-models-from-sklearn", "kernel_id": "40722869"}, {"ref": "bhagwatreddy/spaceship-titanic-with-accuracy-86", "kernel_id": "40744095"}, {"ref": "lokeshanjaneya/spaceshiptitanicneuralnetworks", "kernel_id": "40640355"}, {"ref": "dfavenfre/xgbclassifier-spaceship-titanic", "kernel_id": "40770092"}, {"ref": "auml202232768/titanic-solution", "kernel_id": "40289388"}, {"ref": "kirtipant/spacetransportedproject", "kernel_id": "40470061"}, {"ref": "saikiran7135/space-titanic-voyage", "kernel_id": "40837475"}, {"ref": "yunusemreturker/spacetitanic", "kernel_id": "40573450"}, {"ref": "marcinkamil84/spaceship-titanic-model-final", "kernel_id": "40463252"}, {"ref": "merturper/spaceship-titanic-eda-ml-0-8097", "kernel_id": "40047834"}, {"ref": "theiturhs/spaceship-titanic-logistic-regression", "kernel_id": "40028697"}, {"ref": "bangvietvu/m1-partie-2-3", "kernel_id": "40656094"}, {"ref": "bangvietvu/m1-introduction-au-dl-p3", "kernel_id": "40658991"}, {"ref": "liviniasaputra/ai02-final-exam-classification-ls", "kernel_id": "40046338"}, {"ref": "lanlandeng/notebook4409d4e433", "kernel_id": "40288527"}, {"ref": "todaysophist/notebook8d5e9805a6", "kernel_id": "40292717"}, {"ref": "y4shr47/final", "kernel_id": "40497532"}, {"ref": "shouvikdey21/spaceship-titanic-xgb-clf-80-beginner-friendly", "kernel_id": "40814671"}, {"ref": "sumitgunjal/spaceship-titanic-classifiers", "kernel_id": "40946537"}, {"ref": "ahmedesammohammed/spaceship", "kernel_id": "40340873"}, {"ref": "scarfsman/space-titanic-eda-feature-creation-and-xgboost", "kernel_id": "40759302"}, {"ref": "priyanshusethi/spaceship-competition-classification-comparison", "kernel_id": "40348863"}, {"ref": "priyanshusethi/spaceship-blast-ai-capstone-project-eda-i", "kernel_id": "40248222"}, {"ref": "baraamelhem/spaceship-titanic", "kernel_id": "40537639"}, {"ref": "amity4544/spaceship-titanic-classification", "kernel_id": "40532102"}, {"ref": "zhanlonghuopin/notebooka27e3b872a", "kernel_id": "40143596"}, {"ref": "lixin0125/notebook48130f35ae", "kernel_id": "40223591"}, {"ref": "gigity/notebook26c0e7a0c0", "kernel_id": "40285821"}, {"ref": "zhanghq12/spaceship-titanic-with-tfdf", "kernel_id": "40185009"}, {"ref": "cssice/spaceship-titanic-with-tfdf", "kernel_id": "40229342"}, {"ref": "tianatan/notebook83145f172e", "kernel_id": "40303708"}, {"ref": "lyxbash/spaceship-titanic", "kernel_id": "40388252"}, {"ref": "huboyang/spaceship-titanic", "kernel_id": "40240676"}, {"ref": "chenpai/notebookb37bc3ebdf", "kernel_id": "40232624"}, {"ref": "pqwyoloone/notebook087cefced5", "kernel_id": "40231543"}, {"ref": "atriatri/notebook146fd668be", "kernel_id": "40124007"}, {"ref": "oracle324/spaceship-titanic", "kernel_id": "40146089"}, {"ref": "jeonghaso/final-titanic-mody2", "kernel_id": "40424209"}, {"ref": "jeonghaso/final-titanic-13", "kernel_id": "40189397"}, {"ref": "bangminseon/finalexam-01-02321025", "kernel_id": "40179985"}, {"ref": "ehkim9580/final-01-titanic-classification-submit-ipynb", "kernel_id": "40393707"}, {"ref": "chromyum/final", "kernel_id": "40387519"}, {"ref": "ericcdong/notebook387383a9f4", "kernel_id": "40235036"}, {"ref": "zltdyq/notebook58b0d22219", "kernel_id": "40125446"}, {"ref": "lujiahe/notebookbe7a7f445b", "kernel_id": "40125622"}, {"ref": "lujiahe/spaceship-titanic-with-tfdf", "kernel_id": "40138546"}, {"ref": "yujinleeust/2023-ust-ai-final-part-1", "kernel_id": "40138708"}, {"ref": "zyyyyyyyyr/spaceship-titanic", "kernel_id": "40223822"}, {"ref": "aliothcorvus/final-project-spaceship-titanic", "kernel_id": "40280161"}, {"ref": "mesutssmn/titanic-spaceship-ml-modelling", "kernel_id": "40053910"}, {"ref": "mdmhamudulhassan/final-project-i", "kernel_id": "40042708"}, {"ref": "mdmhamudulhassan/artificial-intelligence-assignment-02", "kernel_id": "40042740"}, {"ref": "ailurusfulgens/notebook362d30e389", "kernel_id": "40286263"}, {"ref": "jangjb/ai-finaltest-part1-kriso-jangjeongbin", "kernel_id": "40326320"}, {"ref": "lyreuikyn/ust-ai-final-term", "kernel_id": "40406308"}, {"ref": "eunkyeomlee/final", "kernel_id": "40481078"}, {"ref": "nguyentrantuuyen/final-test-part1-uyen222", "kernel_id": "40361888"}, {"ref": "nguyentrantuuyen/part-1-ai-uyen", "kernel_id": "40364616"}, {"ref": "nguyentrantuuyen/part1-uyen-final-test", "kernel_id": "40365352"}, {"ref": "afifahhanumamahoru/final1-classification-by-02322028", "kernel_id": "40364818"}, {"ref": "junhaeng007/ai-finaltest-part01", "kernel_id": "40385511"}, {"ref": "jeongsojin/ust-final-project", "kernel_id": "40161006"}, {"ref": "sollveen/titanic", "kernel_id": "40001265"}, {"ref": "sollveen/titanic-ver2", "kernel_id": "40139467"}, {"ref": "esheo0/2023-1-final-project-pt-01-kribb", "kernel_id": "40388210"}, {"ref": "seonhwajung/ai-assignment-rev", "kernel_id": "40393636"}, {"ref": "kbskbsbs/ust-kbs-1", "kernel_id": "40350276"}, {"ref": "kbskbsbs/titanic-kbs1", "kernel_id": "40337090"}, {"ref": "jssiga/20230625-ai01-finalterm-part1", "kernel_id": "40040459"}, {"ref": "hanzla99/ai-homework-3-part-1-hanzla-02121036", "kernel_id": "40380908"}, {"ref": "jasonwaleandev/titanic-spaceship", "kernel_id": "40446408"}, {"ref": "jeremyflint/spaceship-titanic-submission", "kernel_id": "40412117"}, {"ref": "quantumkaze/spaceship-titanic-using-random-forest", "kernel_id": "40004109"}, {"ref": "emaankamal1/titanic-spaceship-analysis", "kernel_id": "40373913"}, {"ref": "ahmetcanertekn/spaceship-titanic-eda-missing-value-detective", "kernel_id": "40296967"}, {"ref": "ahmetcanertekn/spaceship-titanic-ml", "kernel_id": "40047830"}, {"ref": "ayushsinha16/spaceship-titanic-ayush", "kernel_id": "40496496"}, {"ref": "zhaojiankun/notebook38231f6a62", "kernel_id": "40319802"}, {"ref": "lilflerkin/spaceship", "kernel_id": "40388253"}, {"ref": "ismetgocer/titanic-spaceship-eda-everything-before-ml", "kernel_id": "40047831"}, {"ref": "filizesenkaya/spaceship-titanic-eda", "kernel_id": "40047837"}, {"ref": "chaitanyabodapunti/test-run", "kernel_id": "40666564"}, {"ref": "marcyeranosyan/spaceship-titanic-777", "kernel_id": "40584759"}, {"ref": "goyaladi/titanic-survival-model-deployment", "kernel_id": "40876516"}, {"ref": "ahsaan93/project-data-science-spaceship", "kernel_id": "40394485"}, {"ref": "densivanov/spaceship-titanic-xgb-boost-81-score", "kernel_id": "40697082"}, {"ref": "juicyjuicier/fork-of-notebookab087126d3", "kernel_id": "40390380"}, {"ref": "lyerer6/notebook99e38d8c36", "kernel_id": "40239000"}, {"ref": "hannnying/predicting-whether-a-passenger-gets-transported", "kernel_id": "40486993"}, {"ref": "redamancy26/kaggle", "kernel_id": "40275101"}, {"ref": "kongjohnny/notebook35d36512bc", "kernel_id": "40192850"}, {"ref": "mokshitsheoran/begginner-friendly-tutorial-decent-score", "kernel_id": "40515922"}, {"ref": "jcydwx/spaceship-titanic-jcy", "kernel_id": "40273537"}, {"ref": "savannahqian/spaceship-titanic-zpr", "kernel_id": "40240232"}, {"ref": "vivianyan12/yan-vivian", "kernel_id": "40557941"}, {"ref": "salazhiev/hard-data-analysis-different-models-0-80196", "kernel_id": "40858516"}, {"ref": "salazhiev/beautiful-result-with-random-forests", "kernel_id": "40830274"}, {"ref": "jubeimu/spaceship-titanic", "kernel_id": "40184758"}, {"ref": "reddykartik18/spaceship-titanic-binary-classification", "kernel_id": "40626523"}, {"ref": "juzykaggle/gradientboostingclassifier-0-8017", "kernel_id": "40273518"}, {"ref": "misbahsafdar/misbah-safdar", "kernel_id": "40017051"}, {"ref": "kagstick/spaceship-titanic", "kernel_id": "40333501"}, {"ref": "scrambledgabs/spaceship-rescue-with-catboost", "kernel_id": "40288997"}, {"ref": "glenn23/spaceship-titanic-model", "kernel_id": "40633693"}, {"ref": "diyorarti/spaceship-titanic-with-neurol-network", "kernel_id": "40502291"}, {"ref": "yangwang8/advanced-python-assignment-g8-submission", "kernel_id": "40117240"}, {"ref": "z111231/notebookea020121e1", "kernel_id": "40169032"}, {"ref": "jeanpierretanguay/spaceship-titanic-simple-nn", "kernel_id": "40585031"}, {"ref": "sezuna/notebook94bf746ee9", "kernel_id": "40762040"}, {"ref": "shoya0614/hirota-s-notebook-spaceship-titanic", "kernel_id": "40691582"}, {"ref": "orkunorulluolu/spaceship-titanic-ml-programming", "kernel_id": "40602980"}, {"ref": "nvtai040502/spaceship-titanic-competition", "kernel_id": "40565699"}, {"ref": "nvtai040502/mnist-and-cifar", "kernel_id": "40493198"}, {"ref": "nvtai040502/spaceship-titanic-random-forest", "kernel_id": "40627395"}, {"ref": "liuzk2002/notebook16050bb151", "kernel_id": "40294809"}, {"ref": "zhouyutong12138/notebook02630c3f3d", "kernel_id": "40292376"}, {"ref": "zuyuwin/zuyu-guo", "kernel_id": "40271772"}, {"ref": "skyraza948/spaceship-titanic-prediction", "kernel_id": "40285889"}, {"ref": "eileennoonan/spaceship-titanic-with-fastai", "kernel_id": "40443814"}, {"ref": "nakaitomoki/notebook3341b83825", "kernel_id": "40875430"}, {"ref": "yipengmao/catherine-spaceship-titanic", "kernel_id": "40581684"}, {"ref": "masakazusugiyama/spaceship-titanic", "kernel_id": "40532630"}, {"ref": "masakifujita/notebook7b4bb82372", "kernel_id": "40791878"}, {"ref": "aitonakata/spacetitanic-explanation", "kernel_id": "40782617"}, {"ref": "touyuhi/spacetitanic-for-groupwork", "kernel_id": "40864345"}, {"ref": "taromomo/notebook5c7d0d1228", "kernel_id": "40905101"}, {"ref": "ogre11/spaceship-titanic-work", "kernel_id": "40691644"}, {"ref": "lwissitoon/space-titanic", "kernel_id": "40589140"}, {"ref": "glebmikh/rui-spaceship-titanic", "kernel_id": "41626704"}, {"ref": "anigaundar/space-explorer", "kernel_id": "41645843"}, {"ref": "shivkumar25/spaceship-titanic-random-forest-classifier", "kernel_id": "41671288"}, {"ref": "habibirani/spaceship-titanic", "kernel_id": "41584804"}, {"ref": "areebakhtar/spaceship-model", "kernel_id": "41733395"}, {"ref": "nikolatesla13/spaceship-titanic-challenge", "kernel_id": "41733524"}, {"ref": "arqamp/using-scikit-learn-pipelines", "kernel_id": "41311112"}, {"ref": "nakkaggle/spaceship-titanic-naresh", "kernel_id": "41830485"}, {"ref": "alperenyksel/eda-classifier-not-perfect", "kernel_id": "41962611"}, {"ref": "abnerfreitas/spaceship-titanic-competition", "kernel_id": "41432158"}, {"ref": "xmfeng/spaceship-titanic-with-tfdf", "kernel_id": "41700055"}, {"ref": "sanantonik/spaceship-titanic-explore-and-visualize", "kernel_id": "41684402"}, {"ref": "ankitkgond/spaceship-titanic", "kernel_id": "41687944"}, {"ref": "mcpenguin/spaceship-titanic-eda-and-prediction", "kernel_id": "41670349"}, {"ref": "nishchay331/c1-spaceship-titanic", "kernel_id": "41756827"}, {"ref": "farelarden/spaceship-titanic", "kernel_id": "41019035"}, {"ref": "alicanpayasli/74-accuracy-score", "kernel_id": "41708893"}, {"ref": "warinthonthongkaew/spaceship-titanic-prediction-with-python", "kernel_id": "41258723"}, {"ref": "sangvij/notebook-spaceship-titanic-sang-copy-1-bb2958", "kernel_id": "41664792"}, {"ref": "sangvij/notebook-spaceship-titanic-sang-de1a4a", "kernel_id": "41074844"}, {"ref": "oussamahadad/spaceship-titanic-notebook-score-80", "kernel_id": "41367595"}, {"ref": "levrudyy/logreg-87-59-acc", "kernel_id": "41100827"}, {"ref": "litvinenko630/space-titanic-score-0-80476", "kernel_id": "41617922"}, {"ref": "swathiunnikrishnan/spaceship-titanic-prediction-using-classification", "kernel_id": "41265623"}, {"ref": "dhilipkumarkk/space-titanic-kaggles", "kernel_id": "41124735"}, {"ref": "anuppainuly/spaceship-titanic", "kernel_id": "41698763"}, {"ref": "scottmccann/space-titanic", "kernel_id": "41985212"}, {"ref": "ersaaatmeh/spaceship-titanic-2", "kernel_id": "41341791"}, {"ref": "prasadposture121/logistic-regression-in-r", "kernel_id": "41104360"}, {"ref": "sarvagyaporwal/spaceship-titanic-ii", "kernel_id": "41525683"}, {"ref": "mayarmohamedswilam/titanic", "kernel_id": "41763468"}, {"ref": "nyamwaya/spaceship-titanic-prediction", "kernel_id": "41820468"}, {"ref": "larjeck/space-titanic", "kernel_id": "41723433"}, {"ref": "muhammadtsabitulazmi/spaceship-titanic", "kernel_id": "41981443"}, {"ref": "aarushiksk/spaceship-titanic-0-7921-accuracy-using-rf", "kernel_id": "41801183"}, {"ref": "nathanrichard/quick-view-spaceship-titanic-scikit-learn-80", "kernel_id": "41971368"}, {"ref": "jocker3/create-model-to-spaceship-titanic", "kernel_id": "41235253"}, {"ref": "aratrikbasak/notebook0a0aa95d44", "kernel_id": "41289626"}, {"ref": "cchen002/eda-visualization-spaceship-titanic-train-data", "kernel_id": "41294537"}, {"ref": "cezarr/spaceshiptitanic-tutorial-beginner-80-accuracy", "kernel_id": "41426090"}, {"ref": "danishelahi/titanic-spaceship", "kernel_id": "41506190"}, {"ref": "marcokurepa/0-80032-spaceship-titanic-with-a-fcnn-in-pytorch", "kernel_id": "41172029"}, {"ref": "narendrati/narendra-ti-titanic", "kernel_id": "41897832"}, {"ref": "jaberjaber/spaceship-titanic-with-ann-and-ml-workflows-81", "kernel_id": "41496638"}, {"ref": "fadhilumar/quickstart-simple-feature-engineering-80-acc", "kernel_id": "41092046"}, {"ref": "nakulmalik/spaceship-randomforestclassifier", "kernel_id": "41571419"}, {"ref": "armaanseth6702/spaceshiptitanic", "kernel_id": "41792552"}, {"ref": "vasiliie/well-structured-spaceshift-titanic", "kernel_id": "41158419"}, {"ref": "kirze2206/practice-using-nn-for-tabular-data", "kernel_id": "41828794"}, {"ref": "hc1122/spaceship-titanic-with-lgbmclassifier-best-0-805", "kernel_id": "41119091"}, {"ref": "gaurav250594/spaceship-titanic", "kernel_id": "41974389"}, {"ref": "yashkaul/spaceship-titanic-dataset-with-pycaret-low-code", "kernel_id": "41949032"}, {"ref": "cagriertem/statistical-hypothesis-tests-for-spaceship-titanic", "kernel_id": "41767797"}, {"ref": "marouanekh/space-ml-for-some-nan-values-and-encoding", "kernel_id": "41882158"}, {"ref": "rhythmroy/spaceship-titanic", "kernel_id": "41509520"}, {"ref": "kacperrabczewski/spaceship-titanic-a-machine-learning-journey", "kernel_id": "41132907"}, {"ref": "mateuszk013/ml-explainability-shapley-values-shap-library", "kernel_id": "41011721"}, {"ref": "usakshaya/spaceshiptitanic", "kernel_id": "41027990"}, {"ref": "fanindrasaini/spaceship-titanic-using-neural-network-and-polars", "kernel_id": "41941503"}, {"ref": "fanindrasaini/using-polars-for-spaceship-titanic-prediction", "kernel_id": "41308358"}, {"ref": "shaxzoddavronov/spaceship-titanic-classification", "kernel_id": "41398906"}, {"ref": "dmitrykrivenko/space-ship-titanic-noteboob", "kernel_id": "41906849"}, {"ref": "muhammadawn/state-vector-hyperparameter-tuned-80", "kernel_id": "41021739"}, {"ref": "cozyhn/autogluon-spaceship-titanic", "kernel_id": "41716734"}, {"ref": "andyyys5/titanic-thistimespace", "kernel_id": "41563876"}, {"ref": "soumyadipbhat/spaceship-titanic-solved-notebook-detailed", "kernel_id": "41832241"}, {"ref": "dawidkacperczyk/spaceship-titanic-using-neural-network", "kernel_id": "41295336"}, {"ref": "ashuprajapati/spaceship-titanic", "kernel_id": "41691704"}, {"ref": "vedantdadhich2611/spaceshiptitanic-selecting-best-model-80", "kernel_id": "41827027"}, {"ref": "akimlavrinenko/my-spaceshiptitanic", "kernel_id": "41637621"}, {"ref": "sayedshaun/spaceship-titanic", "kernel_id": "41634151"}, {"ref": "pokutuna/spaceship-titanic-tfdt", "kernel_id": "41832088"}, {"ref": "pokutuna/2023-07-31-spaceship-titanic-eda", "kernel_id": "41601805"}, {"ref": "huxxxxx/randomforest-in-sklearn-spaceship-titanic", "kernel_id": "41150377"}, {"ref": "arcielbaez/spaceship-titanic-t-rk-e", "kernel_id": "41495290"}, {"ref": "bahodirmaydonov/spaceship-titanic-classication", "kernel_id": "41589367"}, {"ref": "byomokeshsenapati/randomforest-accuracy-80-43", "kernel_id": "41279297"}, {"ref": "ashimkumardas/linear-regression-and-randomforest", "kernel_id": "41707769"}, {"ref": "bongseok9999/data-visualization-and-gradientboost-model", "kernel_id": "41782115"}, {"ref": "ammarahabib/spaceshiptitanic-competition", "kernel_id": "41663304"}, {"ref": "ibrahimayoubi/spaceship-titanic-model-with-predictions", "kernel_id": "41668268"}, {"ref": "charmaine021/spacetransportedproject", "kernel_id": "41166300"}, {"ref": "tusharrahangdale/spaceship-titanic-prediction-compition", "kernel_id": "41671298"}, {"ref": "tusharrahangdale/spaceship-titanics", "kernel_id": "41623886"}, {"ref": "sasankkanupuri/transported-or-not", "kernel_id": "41900378"}, {"ref": "maharnabsaikia/spaceship-titanic-dimension-transported-prediction", "kernel_id": "41556912"}, {"ref": "omsingh24/space-titanic", "kernel_id": "41699235"}, {"ref": "christiaanfbadilloh/neural-network-with-pytorch", "kernel_id": "41210804"}, {"ref": "thefortunetellers/space-titanic-eda", "kernel_id": "41758394"}, {"ref": "adelinmil/top-5-solution", "kernel_id": "41530649"}, {"ref": "gappfill/filling-nan-eda-featureengineering", "kernel_id": "41474536"}, {"ref": "lizasareen/spaceship-titanic", "kernel_id": "41097335"}, {"ref": "sryamada/notebook7b4bb82372-9c3a4e", "kernel_id": "41502610"}, {"ref": "meetrais/spaceship-titanic-tensorflow", "kernel_id": "41315127"}, {"ref": "sezuna/spaceship-titanic-work", "kernel_id": "41466729"}, {"ref": "raymagic/notebook7cec2a01eb", "kernel_id": "41059335"}, {"ref": "patelsal/group-22-final-research-project", "kernel_id": "41246783"}, {"ref": "patelsal/trial-5", "kernel_id": "41207098"}, {"ref": "kudomoe/spacetitanic-explanation", "kernel_id": "41060269"}, {"ref": "pisces555/notebook26600e3038", "kernel_id": "41415105"}, {"ref": "fujitaryo/group3-c6123340400", "kernel_id": "41294936"}, {"ref": "niloypaultu/notebook7cbaa2608f", "kernel_id": "41253175"}, {"ref": "ys0041/spaceship-titanic-notebook2e29f0f4bd", "kernel_id": "41519084"}, {"ref": "nakaihana/notebook379fd650e5", "kernel_id": "41060413"}, {"ref": "nakaihana/notebook5cb11f415f", "kernel_id": "41062655"}, {"ref": "oyamadamizuki/notebook8b6a6394e9", "kernel_id": "41062186"}, {"ref": "miyoshi344/notebookc606732085", "kernel_id": "41061569"}, {"ref": "yuto12210/data-science-group3", "kernel_id": "41433619"}, {"ref": "nakaitomoki/notebookf87a4f684c", "kernel_id": "41293154"}, {"ref": "harukaaa/spaceship-titanic", "kernel_id": "41505933"}, {"ref": "amakataharuki/notebook8b614c1eb2", "kernel_id": "41491567"}, {"ref": "amakataharuki/notebook8d3ad52630", "kernel_id": "41495380"}, {"ref": "hirotakakawaguchi/notebookd1a15b7331", "kernel_id": "41026769"}, {"ref": "jotoyoshima/notebookd7a84ae032", "kernel_id": "41362047"}, {"ref": "kawamitatsuma/notebook4f07833b21", "kernel_id": "41595450"}, {"ref": "maya0126/spacetitanic-explanation-ms", "kernel_id": "41523253"}, {"ref": "ryuseitakeshita/notebook0bd1fbd562", "kernel_id": "41060204"}, {"ref": "nakanotaiki/notebookad664d1c05", "kernel_id": "41284633"}, {"ref": "shomafujita/notebooka2b81450e3", "kernel_id": "41447834"}, {"ref": "shomafujita/spaceship-titanic", "kernel_id": "41218817"}, {"ref": "lin0224/spaceship-titanic", "kernel_id": "41383449"}, {"ref": "lin0224/notebooke686736df2", "kernel_id": "41251111"}, {"ref": "ndssingh/passenger-classifier-for-spaceship-titanic", "kernel_id": "41326836"}, {"ref": "georgetok/random-forest", "kernel_id": "41156298"}, {"ref": "tangyuanhaoyuan/week13", "kernel_id": "41233281"}, {"ref": "yipengmao/spaceship-titanic-competition-catherine", "kernel_id": "41238736"}, {"ref": "moriyuuki6123380085/notebook3ee6724898", "kernel_id": "41293245"}, {"ref": "hayatemurakami/notebookdff1edddcb", "kernel_id": "41035149"}, {"ref": "shimaharahisui/spacetitanic-2", "kernel_id": "41523292"}, {"ref": "zhiwshi/space", "kernel_id": "41260368"}, {"ref": "hikarushimizui/notebook532a99c22f", "kernel_id": "41528208"}, {"ref": "rina1225/notebook7b3f41a853", "kernel_id": "41377953"}, {"ref": "c612335054/data-science-update", "kernel_id": "41293403"}, {"ref": "dryuto/notebook5cb11f415f", "kernel_id": "41030547"}, {"ref": "daanew/notebook4f07833b21", "kernel_id": "41037622"}, {"ref": "yukimiyaji/notebooka7edcce81b", "kernel_id": "41051452"}, {"ref": "yukimiyaji/spaceship-titanic", "kernel_id": "41206832"}, {"ref": "yukimiyaji/spaceship-titanic-kaggle", "kernel_id": "41485750"}, {"ref": "himanshuydv11/spaceship-titanic-accuracy-79-4-first-time", "kernel_id": "41722677"}, {"ref": "masatakawatanabe/notebook626350a34c", "kernel_id": "41292913"}, {"ref": "toshiyayoshimura71/spacetitanic-explanation-3dffff", "kernel_id": "41527286"}, {"ref": "toshiyayoshimura71/notebooka47fe81cc6", "kernel_id": "41546242"}, {"ref": "tamakii/notebook47ff03911b", "kernel_id": "41293038"}, {"ref": "largewest24/notebook4f07833b21", "kernel_id": "41447491"}, {"ref": "mrcurly02/spaceship-titanic", "kernel_id": "41286073"}, {"ref": "toku1567/notebook7b4bb82372-02dcd0", "kernel_id": "41293394"}, {"ref": "yuukiyoshida20000/spacetitanic-for-groupwork", "kernel_id": "41555548"}, {"ref": "mochio08/notebook51b7bae0c0", "kernel_id": "41293732"}, {"ref": "mochio08/notebook646fd58994", "kernel_id": "41454544"}, {"ref": "hirotakaaa/notebook24e6c4c34d", "kernel_id": "41292945"}, {"ref": "yanehirohumi/notebook7b4bb82372", "kernel_id": "41056405"}, {"ref": "yanehirohumi/notebook7b4bb39275", "kernel_id": "41056643"}, {"ref": "murakamidaisuke/data-science-2023-ver1", "kernel_id": "41294957"}, {"ref": "murakamidaisuke/data-science-2023", "kernel_id": "41360860"}, {"ref": "miyatatakaki/notebook116e727d19", "kernel_id": "41060636"}, {"ref": "yuitakana/notebook7b3f41a853", "kernel_id": "41057471"}, {"ref": "saitohikari/notebook9bd8d08d3d", "kernel_id": "41060542"}, {"ref": "sunshilin/notebook8b6a6394e9-264419", "kernel_id": "41062622"}, {"ref": "poojapu/spaceship-titanic-team12", "kernel_id": "41467661"}, {"ref": "matsushitahiroki/notebook1fc00107f7", "kernel_id": "41516928"}, {"ref": "c612331014/spaceship-titanic-2", "kernel_id": "41061992"}, {"ref": "haramasayosi/notebook64f0d16114", "kernel_id": "41292929"}, {"ref": "kawakami6517/notebook4f07833b21", "kernel_id": "41522535"}, {"ref": "shutoueda/space-titanic", "kernel_id": "41057173"}, {"ref": "ryuseisakamoto/notebook6fd45d5439", "kernel_id": "41293477"}, {"ref": "miyazakiryousuke/notebook5b0adaa45a", "kernel_id": "41413006"}, {"ref": "draxillus/spaceship-titanic", "kernel_id": "41584174"}, {"ref": "pranaymathur4/tspaceship-using-catboost", "kernel_id": "41133649"}, {"ref": "thesven/spaceship-titanic-xgboost", "kernel_id": "41635612"}, {"ref": "ruirrr/notebook-spaceship-titanic", "kernel_id": "41607099"}, {"ref": "yaranasr/spaceship-titanic", "kernel_id": "41345985"}, {"ref": "washroom/notebook5cb11f415f", "kernel_id": "41061848"}, {"ref": "munikumar2003/age-versus-vip", "kernel_id": "41331423"}, {"ref": "patelsaloni23/trial-5", "kernel_id": "41244361"}, {"ref": "compilelife/spaceship-titanic", "kernel_id": "41688940"}, {"ref": "xiefangchao/notebook0f7c12e038", "kernel_id": "41551229"}, {"ref": "ashutoshdevpura/spaceship-titanic-prediction", "kernel_id": "41600486"}, {"ref": "bhagyashree16/space-titanic", "kernel_id": "41742940"}, {"ref": "riyou123/spaceship-titanic-score-79-simplicity", "kernel_id": "41734911"}, {"ref": "hsw1212/spacetitanic-ml-79", "kernel_id": "41883027"}, {"ref": "glebmikh/rita-numberic-eda", "kernel_id": "42864197"}, {"ref": "rahalkanishka/spaceship-titanic-notebook", "kernel_id": "42999744"}, {"ref": "mmalam/box-plots-for-numeric-data-for-null-hypothesis", "kernel_id": "42383982"}, {"ref": "mmalam/eda-based-predictions", "kernel_id": "42901369"}, {"ref": "reet1992/spaceship-titanic", "kernel_id": "42447169"}, {"ref": "ishanpurohit/top-5-solution-with-detailed-explanation", "kernel_id": "42255455"}, {"ref": "lhernand/titanic-space-ship-eda-am-random-search", "kernel_id": "42319785"}, {"ref": "syerramilli/spaceship-titanic-flaml-automl", "kernel_id": "42923623"}, {"ref": "syerramilli/spaceship-titanic-lightgbm-optuna-shap", "kernel_id": "42889269"}, {"ref": "taruchit/spaceshiptitanictransortationprediction", "kernel_id": "42016179"}, {"ref": "achusanjeev/oppenheimer-chapter-1-wormhole", "kernel_id": "42219975"}, {"ref": "badamsairajsa/space-titanic-using-random-forest", "kernel_id": "42338881"}, {"ref": "radhakrishnanb/titanic-space-eda", "kernel_id": "42524509"}, {"ref": "shiv314/a-simple-beginner-friendly-approach", "kernel_id": "42217284"}, {"ref": "lingxiaowang314/randomforestregressor", "kernel_id": "42862791"}, {"ref": "goduguanilhimam/working-with-spaceship-titanic", "kernel_id": "42635207"}, {"ref": "benfoglia/spaceship-titanic-logistic-regression-w-xgboost", "kernel_id": "42091236"}, {"ref": "yyangsshh/spaceship-titanic-cnn-ensemble-pytorch-acc-79", "kernel_id": "42043494"}, {"ref": "mingchenadam/space-titanic-from-scratch-model", "kernel_id": "42911230"}, {"ref": "mingchenadam/spaceship-titanic-fastai", "kernel_id": "42961729"}, {"ref": "abdullaharean/arean-spaceship-titanic", "kernel_id": "42236025"}, {"ref": "hendriknebel/cv-0-856-lb-0-806-kernel-for-spaceship-titanic", "kernel_id": "42814330"}, {"ref": "princessa/spaceship-titanic-score-80-mini-eda", "kernel_id": "42462054"}, {"ref": "onwunyichisomebi/spaceship-titanic-with-tfdf", "kernel_id": "42726154"}, {"ref": "lucasgabrielb/space-titanic-ensemble-model-with-pycaret", "kernel_id": "42806758"}, {"ref": "utkarshtomar736/utkarsh-spaceshiptitanic", "kernel_id": "42035427"}, {"ref": "yuhinishiyama/model-377530-40e905", "kernel_id": "42978360"}, {"ref": "mohammadahmar/linear-model", "kernel_id": "42418235"}, {"ref": "syedmuhammadmooazam/spaceship-titanic-project", "kernel_id": "42348840"}, {"ref": "brokerus/ml-project-spaceship-titanic-top-11-8-models", "kernel_id": "42390099"}, {"ref": "nishchay331/c1-spaceship-titanic-tfdf", "kernel_id": "42306003"}, {"ref": "sabinakhadysy/spaceship-titanic-competition", "kernel_id": "42740777"}, {"ref": "alicanpayasli/94-accuracy-score-ensemble-model", "kernel_id": "42564456"}, {"ref": "kwkdhueda/spaceship-titanic-prediction-rf-xgb", "kernel_id": "42302011"}, {"ref": "saimonk13/spaceship-titanic-prediction", "kernel_id": "42644827"}, {"ref": "zadosaadipurwanto/space-ship-ml", "kernel_id": "42910066"}, {"ref": "bhatnagardaksh/introduction-to-regular-expressions", "kernel_id": "42224723"}, {"ref": "bhatnagardaksh/neural-network-from-scratch-numpy-pandas", "kernel_id": "42501953"}, {"ref": "valerybonneau/spaceship-titanic-eda-fi-automl-and-ml-tuning", "kernel_id": "42278700"}, {"ref": "rajatraj0502/spaceship-titanic", "kernel_id": "42704649"}, {"ref": "gilvardprez/spaceship-titanic", "kernel_id": "42209409"}, {"ref": "omikumarmakadia2121/imporoved-spaceship-titanic-v4", "kernel_id": "42193483"}, {"ref": "omikumarmakadia2121/spaceship-titanic-v8", "kernel_id": "42051168"}, {"ref": "witoldnowogrski/spaceship-titanic-binary-classification-using-nn", "kernel_id": "42471691"}, {"ref": "natsukihashimoto/comparison-of-lgbm-xgboost-catboost-80", "kernel_id": "42108253"}, {"ref": "aaronka/titanic-test", "kernel_id": "42369339"}, {"ref": "sidharthjoly/spaceship-titanic", "kernel_id": "42978713"}, {"ref": "vedantrajpurohit/80-accuracy-spaceship-titanic-passengers", "kernel_id": "42271720"}, {"ref": "vikhyatgupta19/spaceship-titanic-transportation", "kernel_id": "42278505"}, {"ref": "alamukiiraakha/spaceship-titanic-using-eda-and-decision-tree", "kernel_id": "42829058"}, {"ref": "tauhidnoor/space-titanic-report", "kernel_id": "42041798"}, {"ref": "veer1516/beginner-friendly-simple-neural-net-approach", "kernel_id": "42624419"}, {"ref": "whatsupinternet/tf-df-spaceship-attemt", "kernel_id": "42225782"}, {"ref": "erfansaeedi/spaceship-titanic-with-artificial-neural-network", "kernel_id": "42671716"}, {"ref": "mohammedrizwanmalik/0-80-hyperparameter-tuning-with-pipelines", "kernel_id": "42016386"}, {"ref": "egorkainov/eda-feature-selection-engineering-fillnan", "kernel_id": "42483998"}, {"ref": "egorkainov/rfc-catboost-357plcae-80-accuracy", "kernel_id": "42483722"}, {"ref": "samtam22/spaceship-titanic-competition-eda", "kernel_id": "42350213"}, {"ref": "chaser260/spaceship-titanic", "kernel_id": "42405883"}, {"ref": "kotukw/spaceship-titanic-using-xgboost-79-first-try", "kernel_id": "42323487"}, {"ref": "ahnafsadikinan21/pricepredcomp", "kernel_id": "42810896"}, {"ref": "ahnafsadikinan21/spaceshiptitanic", "kernel_id": "42842757"}, {"ref": "sosukeasano/simple-lightgbm-baseline", "kernel_id": "42355118"}, {"ref": "surajpradeepkumar/spaceship-titanic", "kernel_id": "42946729"}, {"ref": "vishnunr/basic-machine-learning", "kernel_id": "42646223"}, {"ref": "yakupkaanbaycan/how-to-reach-8050-on-spaceship", "kernel_id": "42637477"}, {"ref": "shinhaijin/spaceship-titanic", "kernel_id": "42386146"}, {"ref": "layonsan/spaceship-titanic-with-tensorflow-decision-forests", "kernel_id": "42910643"}, {"ref": "frizmoo/spaceship-titanic-eda-feature-engineering", "kernel_id": "42470166"}, {"ref": "alvrod/titanic-space-dl", "kernel_id": "42794832"}, {"ref": "mohammedaliamzyl/spaceship-titanic-eda-80-8", "kernel_id": "42055132"}, {"ref": "jaberjaber/eda-crash-course-perfect-for-eda-beginners", "kernel_id": "42992474"}, {"ref": "jaberjaber/spaceship-titanic-data-prep", "kernel_id": "42992887"}, {"ref": "jaberjaber/spaceship-titanic-modeling-mastery", "kernel_id": "42993001"}, {"ref": "fadhilmuh/testing-my-custom-decisiontree-on-this-competition", "kernel_id": "42299182"}, {"ref": "anthonyweaver/space-titanic-kaggle-catboost-80", "kernel_id": "42419793"}, {"ref": "dinanksoni/spaceship-titanic-79-12", "kernel_id": "42994384"}, {"ref": "suryacreatx/spaceship-titanic-with-lightgbm-80-score", "kernel_id": "42183455"}, {"ref": "skv1436/spaceship-titanic-eda-ensemble-method-0-80", "kernel_id": "42256441"}, {"ref": "enricomanosperti/composition-of-decision-forest-and-neural-network", "kernel_id": "42683233"}, {"ref": "pyrotech/tensorflowdecision-tfdf-space-80-score", "kernel_id": "42615176"}, {"ref": "brunocasenave/spaceship-titanic", "kernel_id": "42636164"}, {"ref": "vinnieb/spaceship-titanic-random-forest-practice", "kernel_id": "42173993"}, {"ref": "soardraspi/getting-started-p2", "kernel_id": "42712886"}, {"ref": "aqleemkhan/spaceship-titanic-ml-model", "kernel_id": "42218865"}, {"ref": "kabeer2004/titanic-keras-deep-learning-implementation", "kernel_id": "42923266"}, {"ref": "hemedro/spaceship-competation", "kernel_id": "42132807"}, {"ref": "swahajraza/spaceship-titanic", "kernel_id": "42921272"}, {"ref": "sagorkumarmitra/spaceship-titanic", "kernel_id": "42286415"}, {"ref": "soumeshkhare/spaceship-titanic-with-ann", "kernel_id": "42316428"}, {"ref": "madhavkumarchoudhary/spaceship-titanic", "kernel_id": "42911145"}, {"ref": "gomaaabied25/space-ship-titanic", "kernel_id": "42313431"}, {"ref": "osamaabobakr/spaceship-titanic-80", "kernel_id": "42041537"}, {"ref": "nathaniellybrand/gbmx3-ensemble-80-spaceship-titanic", "kernel_id": "42167443"}, {"ref": "hoanglongroai/80-accuracy-spaceship-titanic", "kernel_id": "42825763"}, {"ref": "viviansam/spaceship-titanic-eda-modelling", "kernel_id": "42035748"}, {"ref": "singhayush16/spaceship-titanic", "kernel_id": "42226448"}, {"ref": "singhayush16/titanic-survival-1", "kernel_id": "42976419"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "lightonkalumba/spaceship-titanic-eda-model-100", "kernel_id": "42096693"}, {"ref": "bugbreaker18/spaceship-titanic-eda", "kernel_id": "42510926"}, {"ref": "cristianbrugnara/beginner-pytorch-nn-spacetitanicv1-1", "kernel_id": "42861129"}, {"ref": "many37/spaceship-titanic", "kernel_id": "42547982"}, {"ref": "mazensaeed0/spaceship-titanic", "kernel_id": "42675560"}, {"ref": "ranjodhsingh55/transported-or-not", "kernel_id": "42351697"}, {"ref": "dinukakaveen/spaceship-titanic-80-accuracy-top-23-catboost", "kernel_id": "42808662"}, {"ref": "mlaravind/tuned-xgb-target-mean-enc", "kernel_id": "42004008"}, {"ref": "leereps/spaceship-titanic", "kernel_id": "42824144"}, {"ref": "commentsm/spaceship-titanic-try-two", "kernel_id": "42640910"}, {"ref": "hirenlimbad/top-6-missing-values-eda", "kernel_id": "42248666"}, {"ref": "bekkarmerwan/80-accuracy", "kernel_id": "42876644"}, {"ref": "muhammadawaistayyab/spaceship-titanic-deep-learning", "kernel_id": "42964609"}, {"ref": "muhammadawaistayyab/spaceship-titanic-pipelines", "kernel_id": "42515386"}, {"ref": "rizwanahmedabbasi/spaceship-titanic", "kernel_id": "42557412"}, {"ref": "kaushikkrsarma/spaceship-titanic-neural-network", "kernel_id": "42181264"}, {"ref": "wtstephens/space-titanic", "kernel_id": "42677309"}, {"ref": "andreynaligatskidias/spaceship-titanic-with-svm-without-tunning", "kernel_id": "42325103"}, {"ref": "talhabarkaatahmad/spaceship-titanic-analysis-predict", "kernel_id": "42708344"}, {"ref": "talhabarkaatahmad/spaceship-titanic-deep-learning", "kernel_id": "42946688"}, {"ref": "saumitraraaj/spaceship-titanic-saaumitra", "kernel_id": "42047656"}, {"ref": "huseyinbaytar/space-titanic", "kernel_id": "42316247"}, {"ref": "dennisbucklin/spaceship-titanic-data-deep-dive", "kernel_id": "42532054"}, {"ref": "dennisbucklin/spaceship-titanic-random-forest-modeling", "kernel_id": "42597584"}, {"ref": "dennisbucklin/spaceship-titanic-competition-beyond-basic", "kernel_id": "42800564"}, {"ref": "hemishveeraboina/dive-into-eda-using-pandas-profiling", "kernel_id": "42965124"}, {"ref": "subramanyashenoy/spaceship-titanic-regression", "kernel_id": "42666117"}, {"ref": "sahildakve/spaceship-titanic", "kernel_id": "42194081"}, {"ref": "grigoriivinogradov/xgb-80", "kernel_id": "42036976"}, {"ref": "asif00/spaceship-titanic-tfdf-79-7", "kernel_id": "42476176"}, {"ref": "ahmedgohar00/spaceship-titanic", "kernel_id": "42317856"}, {"ref": "wiktorbozek/spaceship-competition-80-eda-ml", "kernel_id": "42799184"}, {"ref": "cicinguyen/unlocking-alternate-realms", "kernel_id": "42597530"}, {"ref": "akacoder404/space-titanic-eda-data-viz-and-ml", "kernel_id": "42231698"}, {"ref": "jaiganesann/spaceship-titanic-bagging-and-ann", "kernel_id": "42016581"}, {"ref": "sunshinemoonlight/rfcandcatbspaceship", "kernel_id": "42135201"}, {"ref": "mertalver/spaceship-titanic-0-81-accuracy-0-7944-10-fold", "kernel_id": "42923162"}, {"ref": "kamilodev/spaceship-titanic", "kernel_id": "42614773"}, {"ref": "maikolgarrido/spaceship-titanic-73", "kernel_id": "42387138"}, {"ref": "chenxianglong/spaceship-titanic-using-lstm", "kernel_id": "42331542"}, {"ref": "touhidurrr/spaceship-titanic-with-deep-learning", "kernel_id": "42909525"}, {"ref": "kiaraesguerra/spaceship-titanic-with-sklearn", "kernel_id": "42947384"}, {"ref": "vmramirez/titanic-spaceship-80-with-gradboost", "kernel_id": "43106304"}, {"ref": "jankuper192/tidymodel-and-rf-lightgbm-and-catboost", "kernel_id": "43070577"}, {"ref": "jankuper192/titanic-using-tidymodels-rf-lightgbm-and-catboost", "kernel_id": "43770093"}, {"ref": "glebmikh/spaceship-eda-varvara-edited", "kernel_id": "43061043"}, {"ref": "bhagwati/spaceship-titanic-for-begineers", "kernel_id": "43516450"}, {"ref": "nervegear/spaceship-titanic", "kernel_id": "43525038"}, {"ref": "lingxiaowang314/randomforestclassifier", "kernel_id": "43029089"}, {"ref": "shrutitambe/spaceship-competition", "kernel_id": "43039147"}, {"ref": "edilsoncastro/spaceship-titanic-with-pipeline-2-0", "kernel_id": "43465861"}, {"ref": "abhinavgaur02/pyspark-pandas-learning", "kernel_id": "43382749"}, {"ref": "sh2orc/spaceship-titanic-with-lightgbm", "kernel_id": "43438376"}, {"ref": "sh2orc/spaceship-titanic-with-catboost-and-optuna", "kernel_id": "43476630"}, {"ref": "pedroberger/spaceship-titanic-with-tfdf", "kernel_id": "43511459"}, {"ref": "vasimraja/spaceship-submssn", "kernel_id": "43718201"}, {"ref": "allepranavsudhan/spaceship-titanic-decision-tree-classifier", "kernel_id": "43374864"}, {"ref": "harshkumar19/spaceship-titanic", "kernel_id": "43043333"}, {"ref": "ayaangani/ayaan-gani-spaceship-titanic", "kernel_id": "43110993"}, {"ref": "williamtraynor/top-3-spaceship-titanic-simple-no-eda", "kernel_id": "43362458"}, {"ref": "bhatnagardaksh/advanced-numpy-concepts-techniques", "kernel_id": "43518999"}, {"ref": "halanassar/spaceship-titanic", "kernel_id": "43968419"}, {"ref": "xiaochuanyang/histgb-minimal-feature-engineering", "kernel_id": "43534816"}, {"ref": "adnananam/titanic-spaceship-survival", "kernel_id": "43495457"}, {"ref": "areebsyed237/xgboost-optuna-tuning", "kernel_id": "43374723"}, {"ref": "areebsyed237/svm-explained", "kernel_id": "43413572"}, {"ref": "areebsyed237/ensemble-exponential-weighted", "kernel_id": "43443864"}, {"ref": "areebsyed237/catboost-thresholding", "kernel_id": "43438368"}, {"ref": "avg2021/using-ann", "kernel_id": "43096364"}, {"ref": "pedroamavizca/dimensional-voyage-titanic-enigma", "kernel_id": "43161877"}, {"ref": "monkeflip/0-8043-4-models-optuna-tuning", "kernel_id": "43968551"}, {"ref": "monkeflip/six-models-enseblme-genetic-algo-for-weight-opt", "kernel_id": "43526659"}, {"ref": "eduardobrilliandy/spaceship-v1", "kernel_id": "43704350"}, {"ref": "eduardobrilliandy/spaceship-v2", "kernel_id": "43887578"}, {"ref": "dragonsave66/randomforest-spaceship", "kernel_id": "43865660"}, {"ref": "jackksoncsie/spaceship-titanic-using-knn", "kernel_id": "43120498"}, {"ref": "eminztrk/spaceship-titanic-autokeras", "kernel_id": "43330528"}, {"ref": "willfeeney/dealing-with-missing-data-spaceship-titanic", "kernel_id": "43792313"}, {"ref": "mattu34/spaceship-titanic-eda-xgbclassifier", "kernel_id": "43489054"}, {"ref": "avtnshm/titanic-spaceship", "kernel_id": "43745261"}, {"ref": "vaibhavsanepara/spaceship-titianic-eda-ml-pipeline", "kernel_id": "43960388"}, {"ref": "antonarzha/notebookf920b2938b", "kernel_id": "43823543"}, {"ref": "yasiir/spaceship-titanic-prediction", "kernel_id": "43102904"}, {"ref": "mehmetutkubala/predict-which-passengers-will-be-transported-to-an", "kernel_id": "43883299"}, {"ref": "amirfares/spaceship-titanic-weighted-ensemble", "kernel_id": "43965539"}, {"ref": "constantinrobert/spaceship-titanic", "kernel_id": "43678643"}, {"ref": "m000sey/space-eda-w-boost-0-79869", "kernel_id": "43843137"}, {"ref": "tikhonradk/spaceship-titanic", "kernel_id": "43106611"}, {"ref": "christopherrichardc/spaceship-titanic", "kernel_id": "43585616"}, {"ref": "mahdisyed/spaceship-titanic-public", "kernel_id": "43352895"}, {"ref": "ziwook/notebook-randomforest", "kernel_id": "43852116"}, {"ref": "yernarakhmetbek/spaceship-titanic-with-tfdf", "kernel_id": "43782202"}, {"ref": "yousefmohamed20/spaceship-titanic", "kernel_id": "43331834"}, {"ref": "fathurwithyou/0-81225-spaceship-titanic-neural-network", "kernel_id": "43815158"}, {"ref": "sandiledesmondmfazi/spaceship-titanic-competition-first-project", "kernel_id": "43877614"}, {"ref": "meghnaphanse/spaceship-titanic", "kernel_id": "43909523"}, {"ref": "vasilistimoudas/spaceship-titanic", "kernel_id": "43720063"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "jeremicichawa/titanic-v2", "kernel_id": "43943088"}, {"ref": "gopikrishnayogan/spaceship-titanic-gk", "kernel_id": "43457446"}, {"ref": "gowthamrajgoku/spaceshiptitanic", "kernel_id": "43260736"}, {"ref": "daksh024/space-travel", "kernel_id": "43901117"}, {"ref": "rizwanahmedabbasi/spaceship-titanic-deep-learning", "kernel_id": "43059842"}, {"ref": "wtstephens/spaceship-titanic-w-iterativeimputer-lightgbm", "kernel_id": "43507270"}, {"ref": "seongyujang04/spaceship-titanic-ver3", "kernel_id": "43257681"}, {"ref": "seongyujang04/spaceship-titianic-competitions", "kernel_id": "43091808"}, {"ref": "cagnusmarlsen/spaceship-titanic", "kernel_id": "43438526"}, {"ref": "harshpatelind13/spaceship-titanic-13", "kernel_id": "43182483"}, {"ref": "philopateergeorgei/eda-and-making-baseline", "kernel_id": "43791990"}, {"ref": "ronmallory/space-ship-titanic", "kernel_id": "43157593"}, {"ref": "razanaqvi14/predicting-passenger-fate-on-spaceship-titanic", "kernel_id": "43861657"}, {"ref": "serhiikharchuk/space-titanic", "kernel_id": "43030504"}, {"ref": "jgacho/started-with-spaceship-titanic", "kernel_id": "43407195"}, {"ref": "raylam123/spaceship-titanic-prediction", "kernel_id": "43452193"}, {"ref": "iliasprc/spaceship-titanic-with-ml-models", "kernel_id": "43683895"}, {"ref": "kuzagaya/spaceship-titanic-the-beginner-s-guide", "kernel_id": "43256379"}, {"ref": "varvaratasits/spaceship-eda", "kernel_id": "43043363"}, {"ref": "zechv000/jchun-spaceship-all-models", "kernel_id": "43324484"}, {"ref": "flamingoman418/spaceship-titanic-prediction-model", "kernel_id": "43668595"}, {"ref": "flamingoman418/spacetitanic-improved", "kernel_id": "43749834"}, {"ref": "trunovamarina/spaceshiptitanic", "kernel_id": "43829452"}, {"ref": "tigrana/spaceshiptitanic", "kernel_id": "43829835"}, {"ref": "ekaterinakhludneva/spaceship-titanic", "kernel_id": "43646783"}, {"ref": "pranjalameta/spaceship-titanic-with-eda-and-logistic-approach", "kernel_id": "43247893"}, {"ref": "willianoliveiragibin/version-titanic-space", "kernel_id": "43469227"}, {"ref": "lokiwaran/notebook1b783b52aa", "kernel_id": "43448029"}, {"ref": "pavelbrian/spaceship-titanic-eda", "kernel_id": "43910705"}, {"ref": "zenwraight/spaceship-titanic-kprt", "kernel_id": "44192377"}, {"ref": "mwllhf/spaceship-titanic-baseline", "kernel_id": "44310301"}, {"ref": "adavydenko/spaceship-titanic-walkthrough-ru", "kernel_id": "44122789"}, {"ref": "yuks0810/learning-lightgbm-with-spaceship-titanic", "kernel_id": "44676309"}, {"ref": "toedtlifhsg/weitergehende-untersuchungen", "kernel_id": "44561478"}, {"ref": "toedtlifhsg/dsci-vorlage", "kernel_id": "44529699"}, {"ref": "toedtlifhsg/helloworld-spaceship-titanic", "kernel_id": "44698371"}, {"ref": "syedahmedshah/spaceship-titanic-sas", "kernel_id": "44033058"}, {"ref": "carlosmatos97/spaceship-titanic", "kernel_id": "44628088"}, {"ref": "ericliu365/spaceship-titanic", "kernel_id": "44248561"}, {"ref": "azamatkibekbaev/space-titanic", "kernel_id": "44088546"}, {"ref": "agshiv92/spaceship-titanic-eda-full-guide-for-beginners", "kernel_id": "44121855"}, {"ref": "umongsain/xgboost-for-spaceship-titanic", "kernel_id": "44787499"}, {"ref": "burakyener/spaceship-genderpredict", "kernel_id": "44891533"}, {"ref": "rajatkumar30/spaceship-titanic-accuracy-78", "kernel_id": "44406092"}, {"ref": "mtpc4s9/light-gbm-tuning-with-optuna-auc-rog-0-8181", "kernel_id": "44868238"}, {"ref": "kaanvural/spaceship-neuralnets-and-traditionals-81-acc", "kernel_id": "44760391"}, {"ref": "khaledmoheyelden/spaceship-titanic-using-ml", "kernel_id": "44278038"}, {"ref": "fidanvural/spaceship-titanic-prediction", "kernel_id": "44305177"}, {"ref": "hadibuxmahessar/eda-spaceship-titanic", "kernel_id": "44579392"}, {"ref": "mlin34/titanic-contest2", "kernel_id": "44086518"}, {"ref": "makinpancakes/space-titanic-automatic-submission-experiment", "kernel_id": "44450113"}, {"ref": "edoardobianchi/spaceshiptitanic-score-0-8207", "kernel_id": "44095412"}, {"ref": "samrahuseynova/detailed-fe-eda-xgboost-score-0-80102", "kernel_id": "44058898"}, {"ref": "roshinifernando/simple-imputation-techniques", "kernel_id": "44075783"}, {"ref": "marcpaulo/eda-and-catboost", "kernel_id": "44928541"}, {"ref": "orphericazainon/titanic-spaceship-prediction-orpheric", "kernel_id": "44105341"}, {"ref": "francofaundez/spaceship-titanic-79-3-end-to-end-project", "kernel_id": "44119031"}, {"ref": "promithaldar/vresszs", "kernel_id": "44540119"}, {"ref": "muhammadtayyab212/combining-models-for-better-predictions", "kernel_id": "44588783"}, {"ref": "muhammadtayyab212/basic-model-training-for-beginners-using-sklearn", "kernel_id": "44569036"}, {"ref": "raohamzatariq/spaceship-titanic", "kernel_id": "44987657"}, {"ref": "prajaktashewale/notebook7d43715eda", "kernel_id": "44077126"}, {"ref": "kacperurban/notebookdf8a5173ec", "kernel_id": "44759174"}, {"ref": "joachimandre/spaceship-titaninc", "kernel_id": "44754013"}, {"ref": "varshith6666/spaceship-titanic", "kernel_id": "44011960"}, {"ref": "muratdura/spaceship-titanic", "kernel_id": "44355089"}, {"ref": "aakashvjain/spaceship-titanic", "kernel_id": "44603216"}, {"ref": "sergeypolivin/spaceship-prediction-using-catboostclassifier", "kernel_id": "44528582"}, {"ref": "erictoal/acm-ds-eric-s", "kernel_id": "44059760"}, {"ref": "ppb00x/spaceshiptitanic-ensemble", "kernel_id": "44991662"}, {"ref": "dtharun98425/space-tit", "kernel_id": "44870053"}, {"ref": "sharvithaa/spaceship-titanic-using-logistic", "kernel_id": "44871168"}, {"ref": "sharvithaa/spaceship-titanic-using-lr", "kernel_id": "44867093"}, {"ref": "varshinig21csr235/varsh-train-test-in-knn", "kernel_id": "44962098"}, {"ref": "presanna/spaceship-titanic-presanna", "kernel_id": "44867043"}, {"ref": "muradpitafi/titanic-spaceship", "kernel_id": "44409822"}, {"ref": "kavinbr20isr022/spaceship-titanic-using-lr-and-knn", "kernel_id": "44866930"}, {"ref": "naveenkumars20isr031/space-titanic-using-knn", "kernel_id": "44866928"}, {"ref": "kirthickranjanm/kirthick", "kernel_id": "44867031"}, {"ref": "dineshkumarmd11/space-titanic-using-knn-lr", "kernel_id": "44867036"}, {"ref": "noure1deen/spaceship-titanic", "kernel_id": "44039172"}, {"ref": "guanlintao/spaceship-titanic-tpotclassifier", "kernel_id": "44714712"}, {"ref": "alberto95bernardi/space-titanic", "kernel_id": "44083805"}, {"ref": "divyanshuchaubey/spaceship-titanic-competition-end-to-end-project", "kernel_id": "44031915"}, {"ref": "tharunvikasss/space-titanic-using-knn-and-logistic-regression", "kernel_id": "44866919"}, {"ref": "javenhuang2/spaceship-titanic-with-tfdf", "kernel_id": "44940472"}, {"ref": "shweta0812/spaceship-titanic-submission", "kernel_id": "44817840"}, {"ref": "travin5/keras-neural-network", "kernel_id": "44697712"}, {"ref": "travin5/random-forest-with-accuracy-0-816", "kernel_id": "44529355"}, {"ref": "sabriburkayirmak/spaceship-titanic", "kernel_id": "44277730"}, {"ref": "muhammadahmed3092/spaceship-titanic", "kernel_id": "44413810"}, {"ref": "denizbilginn/spaceship-titanic-hands-up", "kernel_id": "44305515"}, {"ref": "mohamedakkadir/spaceship-titanic-with-xgboost", "kernel_id": "44771236"}, {"ref": "sathishask/space-titanic-using-nn", "kernel_id": "44866978"}, {"ref": "guptaayushman24/spaceship-model-final-model", "kernel_id": "44011000"}, {"ref": "unlualperen/inzva-spaceship-titanic", "kernel_id": "44529790"}, {"ref": "unlualperen/inzva-spaceship-titanic-clean", "kernel_id": "44539868"}, {"ref": "yuehengzeng/xgboost-optuna-80-acc-spaceship-titanic", "kernel_id": "44475351"}, {"ref": "sharonkwikiriza/spaceship-titanic-for-beginners", "kernel_id": "44128620"}, {"ref": "kavilaviswanathan/spaceship-titanic", "kernel_id": "44879175"}, {"ref": "mjavadpur/mj-spaceship-titanic", "kernel_id": "44553072"}, {"ref": "morsedemon/hackules-play-book-2", "kernel_id": "44816189"}, {"ref": "robertoperezjimenenz/spaceship-titanic", "kernel_id": "44510321"}, {"ref": "yasvanthikak21itr122/online-retail-transaction-data", "kernel_id": "44866918"}, {"ref": "yasvanthikak21itr122/spaceship-titanic-my", "kernel_id": "44867053"}, {"ref": "kavyas21itr052/spaceshiptitanic", "kernel_id": "44866937"}, {"ref": "anamibnjafar0/space-titanic", "kernel_id": "44084584"}, {"ref": "tristandai/spaceship-titanic-using-logistic-regression", "kernel_id": "44851833"}, {"ref": "shivam6862/galactic-triumph-spaceship-titanic-0-7933", "kernel_id": "44822843"}, {"ref": "samuelsenne/predicting-dimension-jumpers-with-gbc", "kernel_id": "44061529"}, {"ref": "acepatil/spaceship-titanic", "kernel_id": "44089115"}, {"ref": "dhivyak21csr041/dhivya", "kernel_id": "44867035"}, {"ref": "gabensstuff/spaceship-titanic-eda-xgbclassifier", "kernel_id": "44578544"}, {"ref": "jyothishri/knn-jyothi-shri", "kernel_id": "44867222"}, {"ref": "dharshinig21csr038/dharshini-knn-spaceshiptitanic", "kernel_id": "44866927"}, {"ref": "kalpanadevig21csr074/knn-spaceshiptitanic", "kernel_id": "44867013"}, {"ref": "kalpanadevig21csr074/dbscan-iris-dataset", "kernel_id": "44870071"}, {"ref": "keerthibalaat/spaceship-titanic", "kernel_id": "44885879"}, {"ref": "keerthibalaat/titanic-spaceship", "kernel_id": "44885144"}, {"ref": "rajdhilipg21csr158/spaceship-titanic-rajdhilip", "kernel_id": "44867022"}, {"ref": "bommisrilekkhaa/spaceship-titanic", "kernel_id": "44867037"}, {"ref": "ahmedsamirafattah/spaceship-titanic", "kernel_id": "44336310"}, {"ref": "rasilrisam/knn-classifier", "kernel_id": "44867045"}, {"ref": "iamdal/spacehip-titanic-eda-xgboost2", "kernel_id": "44884887"}, {"ref": "theusman/spaceship-model-easy-and-precise-eda-0-79", "kernel_id": "44946051"}, {"ref": "dharshkdk/knn-ml", "kernel_id": "44869824"}, {"ref": "keerthanadevis478/logisticregression", "kernel_id": "44870649"}, {"ref": "keerthanadevis478/decisiontree", "kernel_id": "44867029"}, {"ref": "kuangaliong/spaceship-titanic-2-0", "kernel_id": "44086959"}, {"ref": "asudetubitak/first-trial", "kernel_id": "44335902"}, {"ref": "kkkartikkothari/spaceship-titanic-score-76", "kernel_id": "44876602"}, {"ref": "kavyapremaseelan/spaceship-dataset", "kernel_id": "44877177"}, {"ref": "sagravela/exploiting-sklearn-to-maximum-spaceship-titanic", "kernel_id": "44350952"}, {"ref": "augustinehu/pytorch-version-using-simple-neural-network", "kernel_id": "44734820"}, {"ref": "iok1corn/missing-value-homeplanet", "kernel_id": "44859788"}, {"ref": "tomli0421/spaceship-titanic", "kernel_id": "44799796"}, {"ref": "selinealdridge/dsci-bung-2-spaceship-titanic-vancouver", "kernel_id": "44704246"}, {"ref": "arunkumarmtp17/spacetitan", "kernel_id": "44881829"}, {"ref": "stefanmeuter/z-rich-bung2", "kernel_id": "44710094"}, {"ref": "harisowndharya/spaceshiptitani20-10", "kernel_id": "44867236"}, {"ref": "harisowndharya/spacetitanicknn21itr040", "kernel_id": "44870648"}, {"ref": "sebastienmotionstats/spaceship-titanic-sub-motionstats", "kernel_id": "44321709"}, {"ref": "josemiguel5/spaceship-titanic-competition", "kernel_id": "44770858"}, {"ref": "tubakun/st-tutorial", "kernel_id": "44602101"}, {"ref": "davidkcc/titanic-random-forest", "kernel_id": "44590477"}, {"ref": "ecepurcek/lastmodel", "kernel_id": "44706559"}, {"ref": "amirtha1310/knn-asign1", "kernel_id": "44869894"}, {"ref": "andrewstaines/spaceship-titanic-knn", "kernel_id": "44867060"}, {"ref": "meghanandhini/spaceship-titanic-lr", "kernel_id": "44867016"}, {"ref": "ashikha03/spaceship", "kernel_id": "44871128"}, {"ref": "inikan/spaceship-titanic-dataset", "kernel_id": "44878422"}, {"ref": "gayathiri2003/knn-lr-ml", "kernel_id": "44869806"}, {"ref": "ssgayathri/lr-algorithmm", "kernel_id": "44867079"}, {"ref": "chandeeshsg/knn-chandeesh", "kernel_id": "44869686"}, {"ref": "toygar/inzva-spaceship-titanic", "kernel_id": "45027738"}, {"ref": "ianchute/5-minute-spaceship-model", "kernel_id": "45289922"}, {"ref": "nfrolenkov/space-titanic-brutuna-0-8036", "kernel_id": "45923566"}, {"ref": "shreyashbohara/titanic-spaceship", "kernel_id": "45309483"}, {"ref": "joaopedromorais1989/spaceship-titanic", "kernel_id": "45023812"}, {"ref": "wesleyan/latestsub", "kernel_id": "45879763"}, {"ref": "umarzafar/spaceship-titanic-eda-model-building", "kernel_id": "45391638"}, {"ref": "ppiotr/spaceship-titanic", "kernel_id": "45586808"}, {"ref": "akshilaanurangi/titanic-spaceship", "kernel_id": "45292850"}, {"ref": "olegzadneprovskyi/space-titan-oz", "kernel_id": "45200031"}, {"ref": "mawro73/notebook-multiple-models-0-797beginer-intermediate", "kernel_id": "45590734"}, {"ref": "atharvmj082k/titanic-comp-1", "kernel_id": "45894960"}, {"ref": "rcratos/spacetitanic-using-lgbmclassifier-score-80-660", "kernel_id": "45008646"}, {"ref": "rafaelmagnusson/spacetitanic", "kernel_id": "45005547"}, {"ref": "erykwitkowski/spaceship-logistic-regression", "kernel_id": "45255524"}, {"ref": "aravinii/spaceship-titanic-random-forest-bayessearchcv", "kernel_id": "45417100"}, {"ref": "sadiakhatun/spaceship-titanic", "kernel_id": "45530192"}, {"ref": "sadiakhatun/spaceship-titanic-voting-clf", "kernel_id": "45682547"}, {"ref": "elizavetaleonova/classification-with-lgbm", "kernel_id": "45825728"}, {"ref": "yinn94/try2-svc-rf-xgc-acc-0-7989", "kernel_id": "45413354"}, {"ref": "eminecansuakgul/spaceshipchallenge", "kernel_id": "45923077"}, {"ref": "halilbrahimhatun/a-glance-at-spaceship-titanic-v1", "kernel_id": "45302823"}, {"ref": "guanlintao/0-814-optuna-xgb-space-titanic", "kernel_id": "45678289"}, {"ref": "vicmangiltafolla/simple-eda-feature-engineering-techniques", "kernel_id": "45613259"}, {"ref": "kirtilakhdhariya/spaceship-titanic", "kernel_id": "45863221"}, {"ref": "imgoodatfrench/spaceship-titanic-eda", "kernel_id": "45836881"}, {"ref": "jayanchamika/notebook9cb20c151d", "kernel_id": "45293141"}, {"ref": "ahmedgouda8wo/space-ship-titanic", "kernel_id": "45418933"}, {"ref": "enriquegiottonini/spaceshi", "kernel_id": "45228100"}, {"ref": "jacobshaheen/space-titanic-ml-prediction-1", "kernel_id": "45136955"}, {"ref": "ahmedmahmou4/xgboost-a-complete-guide-stacking-model", "kernel_id": "45886349"}, {"ref": "malik9/spaceship-titanic-prediction-using-logistic-regres", "kernel_id": "45751534"}, {"ref": "yutarohori/20231101", "kernel_id": "45477481"}, {"ref": "sajjadhadi/spaceship-titanic-prediction-with-state-of-the-art", "kernel_id": "45581058"}, {"ref": "unibody/spaceshiptitanicpredict-with-xgboost-score-0-80", "kernel_id": "45333707"}, {"ref": "chhelp/spaceship-titanic", "kernel_id": "45626322"}, {"ref": "madmax2003/spaceship-best-random-forest-solution-score-0-8", "kernel_id": "45745629"}, {"ref": "kavyas21itr052/st-knn", "kernel_id": "45078288"}, {"ref": "kavyas21itr052/spaceshiptitanicknn", "kernel_id": "45077468"}, {"ref": "m17iddgmailcom/spaceship-titanic", "kernel_id": "45532891"}, {"ref": "harshsoni2001/spaceship-titanic-with-lightgbm", "kernel_id": "45047356"}, {"ref": "pawewacawik/basic-eda-feature-selection-voting-classifier", "kernel_id": "45785279"}, {"ref": "gabrielscheid/space-final", "kernel_id": "45779979"}, {"ref": "gabrielscheid/spaceshipt-1", "kernel_id": "45773100"}, {"ref": "ananyamehta19/spaceship-titanic-dpl", "kernel_id": "45690290"}, {"ref": "pluspin/starship-titanic-stacking-classifier-ensemble", "kernel_id": "45182298"}, {"ref": "abhishekp74/spaceship-titanic", "kernel_id": "45382711"}, {"ref": "fightmak/fome2lightgbm-spaceship-titanic", "kernel_id": "45512293"}, {"ref": "hirakuhasegawa/lightgbm-spaceship-titanic", "kernel_id": "45149849"}, {"ref": "davidkcc/fork-of-titanic-decision-tree", "kernel_id": "45428384"}, {"ref": "lemartinezm/spaceship-titanic-book", "kernel_id": "45137280"}, {"ref": "nataouo/space-nhk", "kernel_id": "45908144"}, {"ref": "ashikha03/space-titanic-using-random-forest", "kernel_id": "45075734"}, {"ref": "sadeqsoltani22/spacetitanicsurvivors", "kernel_id": "45570452"}, {"ref": "imrangula/spaceship-titanic-with-tfdf", "kernel_id": "45228228"}, {"ref": "diyayaga/spaceship-titanic-eda", "kernel_id": "45514381"}, {"ref": "wenboyan/79-682-rank-775-35", "kernel_id": "45688327"}, {"ref": "xfolia/spaceship-titanic-analysis", "kernel_id": "45783195"}, {"ref": "glebmikh/da-plus-22-classification", "kernel_id": "46405064"}, {"ref": "carljvh/spaceship-titanic", "kernel_id": "46298866"}, {"ref": "p7476762/tf-idf-gans-xgboost-method", "kernel_id": "46136458"}, {"ref": "danialmoafi/spaceship", "kernel_id": "46702620"}, {"ref": "danialmoafi/spaceship-titanic-v1", "kernel_id": "46698633"}, {"ref": "shimintae/assignment01", "kernel_id": "46657221"}, {"ref": "utkarshdabholkar/titanic-spaceship-top-10-easy", "kernel_id": "46969100"}, {"ref": "statyhy/ensembling-ml-models-1116", "kernel_id": "46279453"}, {"ref": "jesusenriqueescobedo/notebookedfb804014", "kernel_id": "46473224"}, {"ref": "mostafamohamad/spaceship-titanic", "kernel_id": "46622970"}, {"ref": "wolflxchuppy/spaceship-titanic", "kernel_id": "46542624"}, {"ref": "masatomurakawamm/data-wrangling-and-ml-with-pyspark", "kernel_id": "46123543"}, {"ref": "ssy2017/spaceship-2", "kernel_id": "46026779"}, {"ref": "ssy2017/spaceship-1", "kernel_id": "46025624"}, {"ref": "mdismielhossenabir/random-forest-classifier", "kernel_id": "46336891"}, {"ref": "shreyashthecoder/my-spaceship-submission", "kernel_id": "46167896"}, {"ref": "samudraroy/spaceship-titanic-kaggle", "kernel_id": "46808479"}, {"ref": "msarvesh/spaceship-titanic", "kernel_id": "46124576"}, {"ref": "josemoran/assignment-01-cross-validation", "kernel_id": "46438585"}, {"ref": "barasamudrasyuhada/ai-assignment01", "kernel_id": "46659503"}, {"ref": "stefanotrinchero/spaceship-titanic-with-tfdf", "kernel_id": "46319960"}, {"ref": "stefanotrinchero/spaceship-titanic-with-decision-forest", "kernel_id": "46459122"}, {"ref": "rajpulapakura/spaceship-titanic-classification", "kernel_id": "46914505"}, {"ref": "ronitakhariya/space-titanic-eda-fine-tuning", "kernel_id": "46066224"}, {"ref": "maicolab/spaceship-titanic", "kernel_id": "46749039"}, {"ref": "avtnshm/my-coding-cookbook1-null-skew-viz", "kernel_id": "46395067"}, {"ref": "zulfi3436/assignment-1-zulfiqar-ali", "kernel_id": "46603232"}, {"ref": "alexeyk12/in-depth-forecasting-analysis-catboost", "kernel_id": "46210106"}, {"ref": "playfulminds/titanic-auc-91", "kernel_id": "46792267"}, {"ref": "elvahou/knn-rf-adaboost", "kernel_id": "46110238"}, {"ref": "abraamsaid/spaceship-titanic-eda-predictions", "kernel_id": "46336375"}, {"ref": "parkminkyeongamypark/23-11-24-ai-park-minkyeong", "kernel_id": "46728303"}, {"ref": "juanfaz/spaceshipmodel", "kernel_id": "46481866"}, {"ref": "maramsa/spaceship-titanic", "kernel_id": "46360578"}, {"ref": "yarena/spaceship-titanic-with-tfdf", "kernel_id": "46653207"}, {"ref": "nttthanh/classification-spaceship-titanic", "kernel_id": "46006012"}, {"ref": "mariamahmedalkaseh/titanic-spaceship", "kernel_id": "46864530"}, {"ref": "fatmakhaled9/notebookab45271934", "kernel_id": "46783263"}, {"ref": "samahfetouh/spaceship-titanic", "kernel_id": "46370667"}, {"ref": "madmax2003/spaceship-best-catboost-solution-score-0-8", "kernel_id": "46096862"}, {"ref": "prathamghoshroy/spaceshiptitanicml-linearsvcbaseline", "kernel_id": "46476177"}, {"ref": "saketh6/simple-random-classifer-to-find-passengers", "kernel_id": "46851884"}, {"ref": "biswasangela/spaceship-titanic-prediction", "kernel_id": "46929388"}, {"ref": "giabchnguyn/spaceship-titanic-with-scikit-learn", "kernel_id": "46784107"}, {"ref": "vambi97/ai-assignment-01-gmp", "kernel_id": "46608565"}, {"ref": "remyhirwa1/titanic-spaceship-notebook", "kernel_id": "46212423"}, {"ref": "gulnihall/spaceship-eda-lgbm-xgbm-catboost-votingc", "kernel_id": "46928588"}, {"ref": "ariannapubblico/notebookari", "kernel_id": "46029865"}, {"ref": "panchk5/space-titanic", "kernel_id": "46098209"}, {"ref": "kacperdobrowolski/spaceship-titanic-kd", "kernel_id": "46561306"}, {"ref": "duhyeonp/ustai202302assignment01-02323021-duhyeonpark", "kernel_id": "46237043"}, {"ref": "davidfernandogarzon/david-garzon-assignment-fall-semester-2023", "kernel_id": "46275773"}, {"ref": "doninurdiansah/doni-nurdiansah-assignment-1-ai-2023", "kernel_id": "46839420"}, {"ref": "jamessomozabarandino/titanic-universe-assignment-01", "kernel_id": "46228465"}, {"ref": "samuelpraveen77/cross-validation", "kernel_id": "46960266"}, {"ref": "tranhungson/ai-assignment-tran-hung-son", "kernel_id": "46976222"}, {"ref": "tranhungson/spaceship-titanic-ust-tran-hung-son", "kernel_id": "46863007"}, {"ref": "autumn2023/assignment-01-02321043", "kernel_id": "46849189"}, {"ref": "zahid600/assignment01", "kernel_id": "46901627"}, {"ref": "thihangngo/spaceship-titanic-predict", "kernel_id": "46978871"}, {"ref": "changdaekwak/competition-spaceship-titanic-changdaekwak", "kernel_id": "46232606"}, {"ref": "jwpark9211/assignment-cross-validation", "kernel_id": "46721561"}, {"ref": "junhofusion/assignment", "kernel_id": "46975814"}, {"ref": "bongpower/assignment1", "kernel_id": "46929508"}, {"ref": "juniikim/assignment01-crossvalidatoin-jhk", "kernel_id": "46927597"}, {"ref": "kangminhu/assignment-cross-validation-kmh", "kernel_id": "46597305"}, {"ref": "kangsanlee/ai-assignment-spaceship-titanic", "kernel_id": "46230158"}, {"ref": "hgjeong6/ai-assignment-01-cross-validation-02312002-jhg", "kernel_id": "46610632"}, {"ref": "taichiuemura/spaceship-titanic-lightgbm", "kernel_id": "46505134"}, {"ref": "meiemes/ustai-regression-byeonghyeon-min", "kernel_id": "46951670"}, {"ref": "benjamindgarrett/notebook66c8434008", "kernel_id": "46355672"}, {"ref": "emannisar/titanicgradient-navigator-achieving-0-8-score", "kernel_id": "46234998"}, {"ref": "teodorchaly/spaceship-titanic-one", "kernel_id": "46211365"}, {"ref": "teodorchaly/notebookfff0a4a42d", "kernel_id": "46210741"}, {"ref": "mucluo/based-on-randomforestclassifier", "kernel_id": "46599457"}, {"ref": "arinmu/spaceship-titanic-predict-used-tensorflow", "kernel_id": "46919197"}, {"ref": "gangjiseok/notebook3e2066b3be", "kernel_id": "46332236"}, {"ref": "sueeeeh/notebook741ff975d9", "kernel_id": "46352134"}, {"ref": "minahahah/ai-assignment-02321033", "kernel_id": "46660200"}, {"ref": "franciscoyb/titanicproyecto", "kernel_id": "46315515"}, {"ref": "liuqianli/spaceship-titanic-final", "kernel_id": "46005066"}, {"ref": "oladimejimensah/space-ship-ml", "kernel_id": "46553976"}, {"ref": "yetundesonoiki/notebook-classwork", "kernel_id": "46554032"}, {"ref": "temidayotomafelumo/spaceship-ml-contest", "kernel_id": "46554017"}, {"ref": "stpeteishii/spaceship-titanic-randomforest", "kernel_id": "47932427"}, {"ref": "craigiggy/spaceship-titanic-pytorch-dnn", "kernel_id": "47670862"}, {"ref": "shimintae/assignment-1205", "kernel_id": "47331855"}, {"ref": "bencetar/spaceship-titanic-notebook", "kernel_id": "47455457"}, {"ref": "choyongho/ai-assignment01", "kernel_id": "47040156"}, {"ref": "chrisferentinos/future-titanic-survivors-rf-xgboost-80", "kernel_id": "47713623"}, {"ref": "prathikbbafna/spaceship-titanic-pb-80", "kernel_id": "47679627"}, {"ref": "karanamvamsi/spaceship-titanic", "kernel_id": "47832843"}, {"ref": "omerltfu/choosing-algorithm-for-spaceship-titanic", "kernel_id": "47578800"}, {"ref": "hridayeshbajaj/notebook28a1bd2838", "kernel_id": "47549011"}, {"ref": "kelde9/chatgpt-created-this-notebook-learn-how", "kernel_id": "47104001"}, {"ref": "atifsuhail/spaceship-titanic", "kernel_id": "47817402"}, {"ref": "avbogdanov930/spaceship-survival", "kernel_id": "47666596"}, {"ref": "siriusdev/end-to-end-prediction", "kernel_id": "47880600"}, {"ref": "ramanathimanjunath/spaceship-titanic-with-simple-pipelines", "kernel_id": "47644069"}, {"ref": "aqibrehmanpirzada/statistics-for-eda-update", "kernel_id": "47511735"}, {"ref": "dominic789654/automl-only-auto-sklearn", "kernel_id": "47486625"}, {"ref": "jiya7316/spaceshiptitanic", "kernel_id": "47906405"}, {"ref": "selvakumaranr/spaceship-titanic-playground", "kernel_id": "47913953"}, {"ref": "mustafakeser4/simple-pipeline-cv", "kernel_id": "47922074"}, {"ref": "dhineshbabbu/adb-spaceship-titanic", "kernel_id": "47503145"}, {"ref": "byomakeshpanda/spaceship-titanic-classification-problem", "kernel_id": "47504331"}, {"ref": "chillysha/dsaa6000g-final-project", "kernel_id": "47286577"}, {"ref": "cddamanelsoengas/spaceship-titanic-models", "kernel_id": "47205981"}, {"ref": "uzairshafique/spaceship-titanic-random-forest-classifier", "kernel_id": "47303917"}, {"ref": "hishamparveez/polynomial-regression-random-forest-xgb", "kernel_id": "47649176"}, {"ref": "carloscll/titanic-spaceship-prediction", "kernel_id": "47333482"}, {"ref": "eyamallat/spaceship-titanic-with-random-forest", "kernel_id": "47100389"}, {"ref": "potongpasir/spaceship-titanic", "kernel_id": "47188935"}, {"ref": "mostafaemad123/spaceship-titanic", "kernel_id": "47469016"}, {"ref": "constantinrobert/catboost-approach", "kernel_id": "47780254"}, {"ref": "loannfeidt1/day-4-titanic-spaceship-model", "kernel_id": "47430009"}, {"ref": "loannfeidt1/day-3-titanic-spaceship-data-exploration", "kernel_id": "47141565"}, {"ref": "parkminkyeongamypark/23-12-12-ai-minkyeongpark", "kernel_id": "47334532"}, {"ref": "amankapoor0601/spaceship", "kernel_id": "47744022"}, {"ref": "kzmontage/auto-ml", "kernel_id": "47561377"}, {"ref": "qkrrkdms/spaceship-titanic", "kernel_id": "47487966"}, {"ref": "a2j00k4/spaceship-titanic-onehotencoding-xgboost", "kernel_id": "47227384"}, {"ref": "tymofiivoitekh/group11-code", "kernel_id": "47047333"}, {"ref": "invincible11111/spaceship-titanic-with-tfdf", "kernel_id": "47826018"}, {"ref": "ednaxx/spaceship-titanic-classifier", "kernel_id": "47671425"}, {"ref": "gawdofdawgs/xgboost-spaceship-titanic", "kernel_id": "47914840"}, {"ref": "yeohhanyi/spaceship-titanic", "kernel_id": "47860049"}, {"ref": "delikansapmaz/spachip-titanic-with-catboostclassifier", "kernel_id": "47340169"}, {"ref": "muhammadumermujahid/spaceship-titanic-with-tfdf", "kernel_id": "47019562"}, {"ref": "mariepierrediquero/trying-kaggle-with-a-new-titanic", "kernel_id": "47106663"}, {"ref": "mattspotify2023/spaceship-titanic-random-forest-and-gridsearch", "kernel_id": "47216620"}, {"ref": "maahdisobhani/spaceship-predict", "kernel_id": "47114797"}, {"ref": "newzhong/spaceship-titanic", "kernel_id": "47017421"}, {"ref": "tomedison/spaceship-titanic", "kernel_id": "47427207"}, {"ref": "apoorvajain24/notebook4c6c3e5ebd", "kernel_id": "47339579"}, {"ref": "prxima/bedu-21", "kernel_id": "47073853"}, {"ref": "oscarfraley/titanic-gradient-boost-classification", "kernel_id": "47404955"}, {"ref": "akshatshaw7/simple-notebook-for-beginners", "kernel_id": "47666896"}, {"ref": "akshatshaw7/simple-notebook-feature-engineering", "kernel_id": "47733544"}, {"ref": "ogulcancck/spaceship-titanic-dataset-data-science-approach", "kernel_id": "47922182"}, {"ref": "imamsatrio/spaceship-titanic-1", "kernel_id": "47644648"}, {"ref": "mustafamertsakallolu/spaceship-1", "kernel_id": "47700587"}, {"ref": "samuelpraveen77/05122023-assignment-cross-validation", "kernel_id": "47325622"}, {"ref": "malaikasada/assignment-01", "kernel_id": "47334465"}, {"ref": "muhsinalperasar/muhsin-alper-asar-02323022-ai-assignment", "kernel_id": "47021941"}, {"ref": "denisusosky/231213-usosky-space-titanic", "kernel_id": "47777060"}, {"ref": "muhammadmaraikhsan/muhammad-mara-ikhsan", "kernel_id": "47016767"}, {"ref": "muhammadmaraikhsan/muhammad-mara-ikhsan-spaceship-titanic", "kernel_id": "47038904"}, {"ref": "tongoclinh/cross-validation-to-ngoc-linh", "kernel_id": "47330416"}, {"ref": "munnibee/assignment", "kernel_id": "47047254"}, {"ref": "taichiuemura/imputation-methods", "kernel_id": "47011688"}, {"ref": "discard/spaceship-titanic", "kernel_id": "47151300"}, {"ref": "usernameprateek/spaceship-titanic-ensemble-models", "kernel_id": "47474894"}, {"ref": "nayakim/231130-assignment", "kernel_id": "47008474"}, {"ref": "bigadam/spaceship-titanic-contest", "kernel_id": "47919932"}, {"ref": "syedbilalhasanrizvi/assignment-01-syed-bilal", "kernel_id": "47030580"}, {"ref": "arpdata/spaceship-titanic-pred", "kernel_id": "47026734"}, {"ref": "mohammadbizhani/spaceshiptitanic-xgb-model-with-visualization", "kernel_id": "47231364"}, {"ref": "yongjian2023/kaggle-practice", "kernel_id": "47384155"}, {"ref": "eshasabir17gmailcom/notebook99ef15708b", "kernel_id": "47034499"}, {"ref": "hurtinvibez/kontrolnaya", "kernel_id": "47423799"}, {"ref": "sergeydeev/notebookc01bc8dc37", "kernel_id": "47595377"}, {"ref": "nobuhideito/jpn-0-80219-give-me-advice-i-m-beginner", "kernel_id": "47618530"}, {"ref": "nobuhideito/top3-0-80991-jpn-kagglebeginner-with-catboost", "kernel_id": "47756769"}, {"ref": "minoi3/simple-pipeline-and-cv", "kernel_id": "47994924"}, {"ref": "julyju/spaceship-xgboost", "kernel_id": "47933255"}, {"ref": "julyju/spaceship-titanic-neural-network", "kernel_id": "47925550"}, {"ref": "isawang05/spaceship-titanic", "kernel_id": "47376244"}, {"ref": "shbaby/12152023-sunhao-assignment-cross-validation", "kernel_id": "47885451"}, {"ref": "youhz16/hongzhe-you-hy2762", "kernel_id": "47946341"}, {"ref": "krg4ga/spaceship-titanic-final", "kernel_id": "48428790"}, {"ref": "vaibhavbawej07/spaceship-titanic-linear-and-logistic-regression", "kernel_id": "48540776"}, {"ref": "tanmaygupta123/spaceship-titanic", "kernel_id": "48660599"}, {"ref": "mlin34/spaceship-titanic-using-pca-and-lda", "kernel_id": "48685210"}, {"ref": "sugiuramasaharu/spaceship-titanic", "kernel_id": "48010092"}, {"ref": "petrkozyrev/speceship-titanic", "kernel_id": "48600466"}, {"ref": "georgedoukas/spaceship-original", "kernel_id": "48404427"}, {"ref": "ikantspall/pratical-work-ziouani-yanis-g02", "kernel_id": "48602328"}, {"ref": "guezouiidir/home-work3-guezoui-idir-2cs2", "kernel_id": "48598514"}, {"ref": "caesarx/spaceship-titanic", "kernel_id": "48919683"}, {"ref": "tylerhoyle/space-titanic-with-catboost-and-sfs", "kernel_id": "48189017"}, {"ref": "ravi20076/spaceshiptitanic-models-v2", "kernel_id": "48164154"}, {"ref": "mustafakeser4/simple-pipeline-cv-boost", "kernel_id": "48411451"}, {"ref": "ankitkumarmandusia/spaceship-with-xgboost-acc-80-35-on-test-data", "kernel_id": "48247255"}, {"ref": "deadwolf42/space-titanic-beginner-notebook", "kernel_id": "48203062"}, {"ref": "joshhaber/titanic-feature-engineering-and-stacking-with-xgb", "kernel_id": "48280221"}, {"ref": "niharpatel03/spaceship-titanic-xgboost", "kernel_id": "48661605"}, {"ref": "nripeshkumarkaggle/spaceship-titanic", "kernel_id": "48370540"}, {"ref": "recursive69/space-titanic-comp", "kernel_id": "48369577"}, {"ref": "gamirandads/spaceship-titanic-catboost-shap-scikitplot", "kernel_id": "48782766"}, {"ref": "stechparme/from-eda-to-submit", "kernel_id": "48640522"}, {"ref": "shivamsinghml/spacetime-2024", "kernel_id": "48791781"}, {"ref": "chanchal24/spaceship-titanic-2", "kernel_id": "48171873"}, {"ref": "hmikraminfo/spaceship-simple-data-analysis", "kernel_id": "48473608"}, {"ref": "dtharun98425/xgboost-spaceship-titanic-1", "kernel_id": "48581975"}, {"ref": "sharvithaa/gb-spaceship-titanic-1", "kernel_id": "48591398"}, {"ref": "varshinig21csr235/varshini-spaceship-titanic", "kernel_id": "48877965"}, {"ref": "kavinkumars20isr023/classifier-spaceship-titanic", "kernel_id": "48592133"}, {"ref": "kirthickranjanm/spaceship", "kernel_id": "48618672"}, {"ref": "dineshkumarmd11/xgboost-spaceship-titanic-1", "kernel_id": "48619350"}, {"ref": "dharamchopda/spaceship", "kernel_id": "48911413"}, {"ref": "yaminh/titanic-on-space-hyperparameter-tuning", "kernel_id": "48434236"}, {"ref": "deepanrajs21adr010/spaceship-titanic-1", "kernel_id": "48618046"}, {"ref": "slavap48/spaceship-titanic", "kernel_id": "48035294"}, {"ref": "ashokp21alr009/spaceshiptitanic", "kernel_id": "48559994"}, {"ref": "vishnupriyagarige/spaceship-titanic-classification", "kernel_id": "48838112"}, {"ref": "revathymadheswaran/spaceship-titanic", "kernel_id": "48658676"}, {"ref": "henosabiy/notebook972faa0c20", "kernel_id": "48864778"}, {"ref": "divyam88/spaceship", "kernel_id": "48697176"}, {"ref": "natchananprabhong/spaceship-titanic-dimensional-transport-prediction", "kernel_id": "48481857"}, {"ref": "yashusinghal/catboost-classifier", "kernel_id": "48159973"}, {"ref": "yashusinghal/simple-beginner-friendly-notebook", "kernel_id": "48109403"}, {"ref": "ritaurbani/classification-titanic-spaceship", "kernel_id": "48478806"}, {"ref": "suryanshsharma1/xgboost-rf-eda", "kernel_id": "48637460"}, {"ref": "maciejk111/space-ship-titanic", "kernel_id": "48595588"}, {"ref": "rrowwe/sekcja-ai-i", "kernel_id": "48470980"}, {"ref": "fatihmehmetkoc/spaceship-basic-analysis", "kernel_id": "48278030"}, {"ref": "samkb13/apc-spaceship-titanic", "kernel_id": "48278803"}, {"ref": "vaibhavchaudhari835/titanic-spaceship-lgbm", "kernel_id": "48719313"}, {"ref": "amulyat29/titanic-spaceship-notebook", "kernel_id": "48189919"}, {"ref": "yasvanthikak21itr122/titanic-neural-network", "kernel_id": "48901444"}, {"ref": "yasvanthikak21itr122/spaceship-titanic-lightgbm", "kernel_id": "48641696"}, {"ref": "kavyas21itr052/xgboost-titanic", "kernel_id": "48597125"}, {"ref": "jimhitt/deepneuralnet-v4", "kernel_id": "48577052"}, {"ref": "biggieb667/notebook-space-titanic", "kernel_id": "48312364"}, {"ref": "bhaveshkabdwal/catboost-spaceship-titanic", "kernel_id": "48814566"}, {"ref": "sarangdave1234/spaceship-titatnic", "kernel_id": "48645219"}, {"ref": "asmith2603/titanic-submission", "kernel_id": "48256897"}, {"ref": "kianajafari/titanic-spaceship", "kernel_id": "48906323"}, {"ref": "jyothishri/spaceship-titanic-jyothishri", "kernel_id": "48619197"}, {"ref": "jyothishri/space-ship-titanic-new", "kernel_id": "48685999"}, {"ref": "jyothishri/spaceship-titanic-transportation-prediction", "kernel_id": "48685639"}, {"ref": "kalpanadevig21csr074/spaceship-titanic-random-forest", "kernel_id": "48642021"}, {"ref": "kalpanadevig21csr074/xgboost-spaceship-titanic-1", "kernel_id": "48592564"}, {"ref": "kalpanadevig21csr074/spaceship-titanic-catboost", "kernel_id": "48677167"}, {"ref": "kalpanadevig21csr074/spaceship-tiatnic-lightgbm", "kernel_id": "48685477"}, {"ref": "kalpanadevig21csr074/randomforest-spaceshiptitanic", "kernel_id": "48922040"}, {"ref": "keerthibalaat/randomforest-spaceship-titanic", "kernel_id": "48657669"}, {"ref": "keerthibalaat/light-lgm-titanic-spaceship", "kernel_id": "48592631"}, {"ref": "antrabansal/logistic-regression", "kernel_id": "48759160"}, {"ref": "rasilrisam/rasil-risam", "kernel_id": "48685313"}, {"ref": "chupitosss/spaceship-titanic", "kernel_id": "48999935"}, {"ref": "keerthanadevis478/xgboost", "kernel_id": "48596946"}, {"ref": "keerthanadevis478/random-forest", "kernel_id": "48766408"}, {"ref": "keerthanadevis478/spaceship", "kernel_id": "48833260"}, {"ref": "kavyapremaseelan/titanic-spaceship-lightgbm", "kernel_id": "48619651"}, {"ref": "reitayamagishi/for-the-first-time-participation", "kernel_id": "48725661"}, {"ref": "harisowndharya/xgboost-spaceship-titanic-1", "kernel_id": "48583656"}, {"ref": "yiduojiang/notebookv4", "kernel_id": "48228600"}, {"ref": "mustafaedemirci/mustim", "kernel_id": "48644318"}, {"ref": "amirtha1310/spaceship1", "kernel_id": "48611479"}, {"ref": "abdalrhamnhebishy/space-titanic", "kernel_id": "48354687"}, {"ref": "andrewstaines/spaceship-titanic-using-lightgbm", "kernel_id": "48588365"}, {"ref": "meghanandhini/spaceship-titanic-random-forest", "kernel_id": "48868310"}, {"ref": "ashikha03/rfc-and-lightgbm-spaceship-titanic", "kernel_id": "48585228"}, {"ref": "ashikha03/xgboost-spaceship-titanic-1", "kernel_id": "48585141"}, {"ref": "dhushyanthr/spaceship-titanic-randomforest", "kernel_id": "48916267"}, {"ref": "dhushyanthr/xgboost-spaceship-titanic-1", "kernel_id": "48591726"}, {"ref": "jeevagann/xgboost-spaceship-titanic-1", "kernel_id": "48610006"}, {"ref": "bsatheeskumar/xgboost-spaceship-titanic-1", "kernel_id": "48578061"}, {"ref": "inikan/ada-boost-for-spaceship-titanic", "kernel_id": "48685259"}, {"ref": "inikan/lightgbm-for-spaceship-titanic", "kernel_id": "48589884"}, {"ref": "gayathiri2003/knn-spaceship-titanic", "kernel_id": "48825241"}, {"ref": "ssgayathri/spaceshiptitani-randomforest", "kernel_id": "48685668"}, {"ref": "chandeeshsg/spaceship-titanic-chandeesh", "kernel_id": "48829561"}, {"ref": "muhammadabdullah545/titanic-predictions-xgbclassifier-80", "kernel_id": "48970526"}, {"ref": "muhammadabdullah545/titanic-predictions", "kernel_id": "48864528"}, {"ref": "pranchart/spaceship-titanic-eda-and-catboostclassifier", "kernel_id": "48161925"}, {"ref": "faunofobici/spaceship-titanic-unsupervised-learning-cluster", "kernel_id": "48135347"}, {"ref": "yorkyong/spaceship-titanic-xgboost", "kernel_id": "48464774"}, {"ref": "yorkyong/spaceship-titanic-random-forest", "kernel_id": "48214745"}, {"ref": "renhuang8/spaceship-titanic-mlp", "kernel_id": "48848930"}, {"ref": "renhuang8/spaceship-titanic-atuogluon", "kernel_id": "48854547"}, {"ref": "trzewiczek/space-titanic-with-tf-dnn", "kernel_id": "48778826"}, {"ref": "rahshithasureshbabu/catboost-for-spaceship-titanic-dataset", "kernel_id": "48661558"}, {"ref": "pratosh444/xgboost-spaceship-titanic-1", "kernel_id": "48619675"}, {"ref": "asmamalicaj/knn-spaceship-titanic", "kernel_id": "48859433"}, {"ref": "thirishag/xgb-titanicspaceship", "kernel_id": "48677353"}, {"ref": "sanjugag/spaceship-titanic", "kernel_id": "48677164"}, {"ref": "dhivyakuppusamy/notebook214de0a450", "kernel_id": "48859517"}, {"ref": "dharshdk/dharshini-spaceship-titanic", "kernel_id": "48860583"}, {"ref": "maryiakalinina/spaceship-titanic", "kernel_id": "48907552"}, {"ref": "karthikakumaravel/xgb-spaceship-titanic1", "kernel_id": "48920273"}, {"ref": "karthikakumaravel/knn-titanic", "kernel_id": "48926811"}, {"ref": "aspillai/spaceship-titanic-classification-simple-lightgbm", "kernel_id": "49912766"}, {"ref": "romanrush/eda-visualizations", "kernel_id": "49976107"}, {"ref": "jojoyin/space-titanic", "kernel_id": "49256182"}, {"ref": "divx1979/db-xgb-1", "kernel_id": "49252641"}, {"ref": "rohitkrbose/feature-engineering-lgbm", "kernel_id": "49138948"}, {"ref": "namyang94/keras-classification-spaceship-titanic", "kernel_id": "49891982"}, {"ref": "stpeteishii/spaceship-titanic-randomforest-r", "kernel_id": "49371509"}, {"ref": "mvoulo/spaceship-titanic", "kernel_id": "49340076"}, {"ref": "satyamsh/titanic-spaceship-visualisation", "kernel_id": "49933426"}, {"ref": "wguesdon/spaceship-titanic-eda-scikit-learn", "kernel_id": "49417006"}, {"ref": "aishwaryanandakumar/spaceship-titanic-prediction", "kernel_id": "49721501"}, {"ref": "pabloarvilla/spaceship-titanic", "kernel_id": "49482572"}, {"ref": "anshsheravia/spaceshiptitanic", "kernel_id": "49122369"}, {"ref": "napolendevesa/spaceship-titanic", "kernel_id": "49286558"}, {"ref": "sakibimtiaz/spaceship-titanic-pca-voting-boosting", "kernel_id": "49991769"}, {"ref": "serhiitsvigun/spaceship-titanic-classification", "kernel_id": "49654605"}, {"ref": "kscoder77/titanicml-model-random-forest", "kernel_id": "49928842"}, {"ref": "yuushii/tf-df", "kernel_id": "49392417"}, {"ref": "parthbagda/spaceship-titanic", "kernel_id": "49378725"}, {"ref": "arjungravi/beginner-friendly-space-titanic", "kernel_id": "49027793"}, {"ref": "figolm10/spaceship-titanic-prediction-acc-79-52", "kernel_id": "49757295"}, {"ref": "omega11/spaceship-titanic-handling-missing-values", "kernel_id": "49116307"}, {"ref": "m2345g/eda-process", "kernel_id": "49162086"}, {"ref": "kelixirr/spaceship-titanic-end-to-end", "kernel_id": "49351439"}, {"ref": "avishivishwakarma/spaceshiptitanic", "kernel_id": "49168778"}, {"ref": "preetam009/spaceship-titanic-classification-xgb", "kernel_id": "49308248"}, {"ref": "aaron95629/spaceship-titanic", "kernel_id": "49384790"}, {"ref": "svitlanademediuk/titanic-in-r", "kernel_id": "49981480"}, {"ref": "jaehwan98/spaceship-lazyclassifier", "kernel_id": "49154100"}, {"ref": "ashokkumarr21alr008/spaceship-titanic", "kernel_id": "49006092"}, {"ref": "shamsin/notebook59360b27bd", "kernel_id": "49981839"}, {"ref": "hardikgarg03/spaceship-titanic-using-random-forest-and-xgboost", "kernel_id": "49727074"}, {"ref": "nabinoli2004/space", "kernel_id": "49031040"}, {"ref": "o2ka03/space-ship-titanic-prediction", "kernel_id": "49374725"}, {"ref": "jksamillano11/spaceship-titanic", "kernel_id": "49528605"}, {"ref": "vanshbatra10/easy-approach-ensemble-xgb-cat", "kernel_id": "49540407"}, {"ref": "garguday67/notebook80f217d18a", "kernel_id": "49597044"}, {"ref": "garguday67/spaceship-titanic-dataset-prediction", "kernel_id": "49707165"}, {"ref": "kartikkumaria/0-79-public-score-using-tfdf-random-forest", "kernel_id": "49648483"}, {"ref": "chetanaggarwal01/notebook11ccdcdb23", "kernel_id": "49796137"}, {"ref": "leelianzheng/spaceship-titanic-log-reg-classification", "kernel_id": "49344154"}, {"ref": "satvshr/spaceship-titanic-using-gridsearchcv-xgboost", "kernel_id": "49657839"}, {"ref": "shivambhardwaj6969/spaceship-titanic", "kernel_id": "49796143"}, {"ref": "shivambhardwaj6969/spaceship-titanic3", "kernel_id": "49796607"}, {"ref": "junaidullhassan/spaceship-titanic-auc-80-acc-71", "kernel_id": "49895429"}, {"ref": "ritaurbani/ml-classifier-train-val-test", "kernel_id": "49063063"}, {"ref": "haokangzhang/rf-spaceship-titanic", "kernel_id": "49252515"}, {"ref": "kashish50/titanic-rf-hgb-xgb", "kernel_id": "49459364"}, {"ref": "kashish50/titanick-lgbm", "kernel_id": "49461128"}, {"ref": "jandyndor/spaceship-titanic", "kernel_id": "49216805"}, {"ref": "aestroe/spaceship-titanic-classification", "kernel_id": "49773673"}, {"ref": "tarushirastogi/titanic-spaceship", "kernel_id": "49943714"}, {"ref": "shashanks1202/spaceship-titanic", "kernel_id": "49926578"}, {"ref": "bayern2jz/spaceship-titanic-with-tfdf", "kernel_id": "49926671"}, {"ref": "robertdekkers/spaceship-titanic-competition", "kernel_id": "49144996"}, {"ref": "mariushinsberger/spaceship-titanic-first-approaches", "kernel_id": "49755854"}, {"ref": "rajendrakpandey/spaceship-titanic", "kernel_id": "49004329"}, {"ref": "sardorwwe/spaceship-titanic1", "kernel_id": "49882942"}, {"ref": "aryangupta30/spaceship-titanic-0-8-accuracy", "kernel_id": "49891078"}, {"ref": "lilyhyseni/spaceship-titanic", "kernel_id": "49774015"}, {"ref": "rasilrisam/spaceship-titanic-rasil-risam", "kernel_id": "49102450"}, {"ref": "jatinthakur706/spaceship-titanic-using-random-forest-classifier", "kernel_id": "49842370"}, {"ref": "raghavdargan/spaceship-titanic-top-6-for-beginners", "kernel_id": "49573261"}, {"ref": "ankit1743/spaceship-titanic-eda-and-gradient-boosting", "kernel_id": "49749324"}, {"ref": "krishuppal/spaceship-titanic", "kernel_id": "49795623"}, {"ref": "shresthapundir/spaceship-titanic", "kernel_id": "49707981"}, {"ref": "graceveraa/spaceship-titanic-random-forest", "kernel_id": "49678158"}, {"ref": "yashpuri1912/spaceship-titatnic", "kernel_id": "49774063"}, {"ref": "jasmeet0516/spaceship-titanic-using-random-forest", "kernel_id": "49842346"}, {"ref": "seymma/space-tit", "kernel_id": "49749256"}, {"ref": "wishyun/spacetitanic-3", "kernel_id": "49516704"}, {"ref": "zeyadsayedadbullah/spaceship-titanic-score-0-80009", "kernel_id": "49013263"}, {"ref": "muhammadhadi13/titanic-eda-model-application", "kernel_id": "49005737"}, {"ref": "aki1313/spaceship-titanic-base", "kernel_id": "49512824"}, {"ref": "aki1313/spaceship-titanic-improve", "kernel_id": "49585910"}, {"ref": "aki1313/adversary-validation-spaceship", "kernel_id": "49158445"}, {"ref": "aki1313/eda-code", "kernel_id": "49159362"}, {"ref": "waayuu/notebook335179aca7", "kernel_id": "49390946"}, {"ref": "dhruvgarg1010/notebook0ed3364033", "kernel_id": "49796142"}, {"ref": "shaurya0311/spaceship-titanic-lightgbm-random-forest", "kernel_id": "49872668"}, {"ref": "khaledmofa/test2", "kernel_id": "49224270"}, {"ref": "bhavyagoyal867/spaceship-titanic", "kernel_id": "49688845"}, {"ref": "satyamm1110/spaceship", "kernel_id": "49606040"}, {"ref": "sineer666/spaceship-titanic-catboost-feature-engineering", "kernel_id": "49010037"}, {"ref": "mdmuqtadirfuad/l-regression-knn-r-forest-svm-decision-tree-78-49", "kernel_id": "49657461"}, {"ref": "icksir/spaceship-titanic-with-tensorflow", "kernel_id": "49933488"}, {"ref": "maciejpabis/let-s-solve-spaceshiptitanic-with-tensorflow-keras", "kernel_id": "49971920"}, {"ref": "mirfayzirgashevdku/spaceshiptitanic", "kernel_id": "49239193"}, {"ref": "xkshitijx/using-randomforestclassifier", "kernel_id": "49465553"}, {"ref": "hellokaggle220/spaceship-titanic-classification-xgb", "kernel_id": "49323128"}, {"ref": "scientificstephen/spaceship-titanic", "kernel_id": "49656579"}, {"ref": "adrianasalcedo/logisticregression-xgb-eda", "kernel_id": "49069135"}, {"ref": "eakanshagarwal24/spaceship-titanic-randomforest-xgb", "kernel_id": "49793412"}, {"ref": "samarjeetsinghgandhi/spaceship-titanic", "kernel_id": "49689557"}, {"ref": "marcospenelas/spaceship-clasification-with-keras", "kernel_id": "49857644"}, {"ref": "harshitstark/spaceship-titanic", "kernel_id": "49928009"}, {"ref": "ioancristianbratu/svm-with-rbf-kernel-classification-80-training", "kernel_id": "49325546"}, {"ref": "filipoj/filip-ojczyk-sprawozdanie-nr-7-jswad", "kernel_id": "49845964"}, {"ref": "kaurneetlove/space-titanic", "kernel_id": "49842662"}, {"ref": "siddhantjain03/notebook4361bdb3ee", "kernel_id": "49795607"}, {"ref": "sankalp102/notebookbaacb9e74d", "kernel_id": "49816595"}, {"ref": "nanomondo/spaceship-titanic-with-tfdf", "kernel_id": "49808658"}, {"ref": "olexiihubar/spaceship-titanic-classification", "kernel_id": "49983785"}, {"ref": "ruslanjan/titanic-spaceship-torch-nn", "kernel_id": "50361612"}, {"ref": "romanrush/eda-visualizations-target-distributions", "kernel_id": "50040644"}, {"ref": "chan4483/titanic-spaceship-cs-v2", "kernel_id": "50408504"}, {"ref": "annastasy/team-orion-spaceship-with-lgbm", "kernel_id": "50748286"}, {"ref": "aayushsin7a/spaceship-titanic", "kernel_id": "50913315"}, {"ref": "vraizen/spaceship-titanic", "kernel_id": "50595429"}, {"ref": "bhaveshmittal/spaceship-titanic-eda-ensemble-79-5-acc", "kernel_id": "50354390"}, {"ref": "rasva1/titanic-intro", "kernel_id": "50483699"}, {"ref": "guedes5132/nn-pytorch-spaceship-titanic", "kernel_id": "50318315"}, {"ref": "aadarshvelu/spaceship-titanic-tensorflow-80", "kernel_id": "50073406"}, {"ref": "ilysha/spaceship-titanic", "kernel_id": "50960038"}, {"ref": "aaryanduggal/fork-of-spaceship-titanic-with-tfdf", "kernel_id": "50811328"}, {"ref": "mahendra301/spaceship-titanic-random-forest-classifier", "kernel_id": "50559797"}, {"ref": "gerardocappa/spaceship-titanic-models-ensembling-80-acc", "kernel_id": "50358906"}, {"ref": "souadelsayed/spaceship-titanic", "kernel_id": "50430153"}, {"ref": "poonzhexuan/spaceship-titanic-bayesian-optimization", "kernel_id": "50251349"}, {"ref": "carloseduardorm/spaceship-titanic", "kernel_id": "50699482"}, {"ref": "priyanshuganwani09/spaceship-titanic-notebook-ensemble-techniques", "kernel_id": "50509888"}, {"ref": "chahlatarmoun/spaceship-titanic", "kernel_id": "50513827"}, {"ref": "dhruvlotia/spaceship-analysis", "kernel_id": "50404662"}, {"ref": "kulakovnikita/mll-ite-spaceship", "kernel_id": "50993579"}, {"ref": "chanchal24/house-prices-prediction-detailed-eda-10-model", "kernel_id": "50709174"}, {"ref": "yairgarciaperez/test1", "kernel_id": "50510217"}, {"ref": "chanelkxm/spaceship-titanic-predictive-modelling-python", "kernel_id": "50552284"}, {"ref": "yashasgarg/spaceship-titanic", "kernel_id": "50010069"}, {"ref": "kepler296b/spaceship-titanic", "kernel_id": "50528403"}, {"ref": "trixieukiru/notebook1c7fe46342", "kernel_id": "50704545"}, {"ref": "jackren000/spaceship-titanic", "kernel_id": "50659924"}, {"ref": "emad3li/spaceship-titanic-analysis-hub", "kernel_id": "50827881"}, {"ref": "yucaib/titanic-star", "kernel_id": "50340654"}, {"ref": "shrutirai88/spaceshiptitanic", "kernel_id": "50483553"}, {"ref": "chhavidhankhar11/spaceship-titanic-using-pycaret", "kernel_id": "50728740"}, {"ref": "awnishsingh123/spaceship-titanic1", "kernel_id": "50808910"}, {"ref": "sturarods/spaceship-titanic-predict-w-xgb-lr-rf", "kernel_id": "50255191"}, {"ref": "pipchu/titanic-using-random-forest", "kernel_id": "50200496"}, {"ref": "yuehengzeng/automl-with-flaml-80-acc-spaceship-titanic", "kernel_id": "50692181"}, {"ref": "vigreux8mrgalere/best-models-spaceship-titanic", "kernel_id": "50114474"}, {"ref": "ryanmit/titanic-classification", "kernel_id": "50322334"}, {"ref": "anzhelinashevchuk/spaceship-titanic-competition", "kernel_id": "50719011"}, {"ref": "dyakow/spaceship-titanic-automl", "kernel_id": "50749499"}, {"ref": "tabcrx/notebook45769bd2f0", "kernel_id": "50338364"}, {"ref": "chiragmohangupta/spaceship-titanic", "kernel_id": "50104533"}, {"ref": "mhamza786/spaceship-titanic", "kernel_id": "50782167"}, {"ref": "curtiscoding1/space-titanic-svm", "kernel_id": "50513934"}, {"ref": "kkamal2003/spaceship-titanic", "kernel_id": "50202533"}, {"ref": "ojasgolatkar/spaceship-titanic-submission", "kernel_id": "50092420"}, {"ref": "davidroguez/spaceship-gradient-boosted-dt", "kernel_id": "50158886"}, {"ref": "davidroguez/space-decisiontree", "kernel_id": "50073831"}, {"ref": "jay7080dev/competition-notebook-spaceship-titanic", "kernel_id": "50658558"}, {"ref": "gunjan2509/titanic-prediction", "kernel_id": "50645899"}, {"ref": "abhishekmaher/spaceship-titanic", "kernel_id": "50368048"}, {"ref": "marcodetommasi/comparison-between-randomforest-and-xgboost", "kernel_id": "50497482"}, {"ref": "mikhailnaumov/spaceship-titanic-classification-catboost", "kernel_id": "50273645"}, {"ref": "akshatdarji/spaceship-titanic", "kernel_id": "50006677"}, {"ref": "lilyhyseni/fork-of-spaceship-titanic", "kernel_id": "50072779"}, {"ref": "jkaur28/notebook2308a08a7d", "kernel_id": "50829410"}, {"ref": "akankshasolanki123/spaceship-titanic", "kernel_id": "50975259"}, {"ref": "shiivvvaam/spaceship-titanic-notebook", "kernel_id": "50115860"}, {"ref": "kunal025/spaceship-titanic", "kernel_id": "50754770"}, {"ref": "jasleen234/notebook0a33cd8538", "kernel_id": "50951198"}, {"ref": "joyygoswami/spaceship-titanic", "kernel_id": "50448728"}, {"ref": "sanchibatra/spaceship-titanic", "kernel_id": "50545322"}, {"ref": "devitachi/apple-a-day-accuracy-90", "kernel_id": "50514855"}, {"ref": "nitishjolly/titaninic-spaceship", "kernel_id": "50353509"}, {"ref": "kanishhkaa/notebook3dc74102a7", "kernel_id": "50786084"}, {"ref": "badass2/spaceship-titanic", "kernel_id": "50648160"}, {"ref": "dimodimchev/spaceship-titanic-comp-notebook", "kernel_id": "50149565"}, {"ref": "dipayancodes/prediction-of-passengers", "kernel_id": "50089078"}, {"ref": "danilisle/spaceship-titanic-with-tfdf", "kernel_id": "50487578"}, {"ref": "abhimanyu2244/spaceship-titanic", "kernel_id": "50726508"}, {"ref": "eirlysvo/spaceship-titanic-main", "kernel_id": "50869221"}, {"ref": "martaseidler/spaceship-titanic", "kernel_id": "50523788"}, {"ref": "eminacikgoz/spaceship-titanic-random-forest-method", "kernel_id": "50380621"}, {"ref": "manonchartrin/notebook4e1fdf75fe", "kernel_id": "50513062"}, {"ref": "omarsorour/spaceshipetitanic", "kernel_id": "50474256"}, {"ref": "lanceearldaxar/spaceship-titanic-knn-lr-rf", "kernel_id": "50466583"}, {"ref": "lanceearldaxar/spaceship-pipeline-gridsearch-lr-rf-knn", "kernel_id": "50512062"}, {"ref": "khushiattri/spaceship-titanic", "kernel_id": "50113355"}, {"ref": "arnavkapoor123/spaceship", "kernel_id": "50558799"}, {"ref": "hardwellmusha/spaceship-titanic-notebook", "kernel_id": "50997272"}, {"ref": "santiago123678/spacheship-titanic-accuracy-80", "kernel_id": "50071469"}, {"ref": "tarndeepsingh16/spaceship-titanic", "kernel_id": "50694336"}, {"ref": "ananyagupta184/notebook31dbeea45a", "kernel_id": "50810591"}, {"ref": "shipulinalexander/spaceship-titanic", "kernel_id": "50970231"}, {"ref": "gwendal96/notebook9bf273278f", "kernel_id": "50602814"}, {"ref": "bhavikasaini/spaceship-titanic-rf-lgb", "kernel_id": "50768762"}, {"ref": "yatinkundra666/longcode", "kernel_id": "50464205"}, {"ref": "naniramdhimal/spaceship-titanic-80-acc", "kernel_id": "50058568"}, {"ref": "stevenzhun/spaceship-titanic-prediction", "kernel_id": "50130769"}, {"ref": "alexandersmyatskih/spaceship-titanic-79-score", "kernel_id": "50264983"}, {"ref": "horlin/notebook43876c4133", "kernel_id": "50995986"}, {"ref": "hennimansour/projet-machine-learning", "kernel_id": "50512823"}, {"ref": "floppa420/kaggle-spaceship", "kernel_id": "50556455"}, {"ref": "maniiisha18/spaceship-titanic", "kernel_id": "50816533"}, {"ref": "viggosouza/notebook8ee2350ee0", "kernel_id": "50922602"}, {"ref": "seongnam1stminam/spaceship-titanic-practice", "kernel_id": "51949738"}, {"ref": "nadezhda2019/spaceship", "kernel_id": "51224832"}, {"ref": "adikaboost/titanic-simple-neuralnetwork-pytorch", "kernel_id": "51040989"}, {"ref": "namdong/spaceship-titaninc-for-kr", "kernel_id": "51639317"}, {"ref": "yolzoshi/mlite-olzoshkina-yanzhina", "kernel_id": "51240545"}, {"ref": "nikitakudriashov/visualization-assistant", "kernel_id": "51791212"}, {"ref": "nikitakudriashov/top-4-data-cleaning-catboost", "kernel_id": "51185418"}, {"ref": "quantumdoc/sptitanic", "kernel_id": "51557034"}, {"ref": "mattkarenbauer/kaggle-spaceship-titanic-competition", "kernel_id": "51447335"}, {"ref": "srijanneogi/spaceship-titanic-final", "kernel_id": "51256570"}, {"ref": "amitamanna/spaceship-titanic-submissions", "kernel_id": "51220395"}, {"ref": "anushkakaimal/spaceshiptitanic", "kernel_id": "51907451"}, {"ref": "jamesgacheru/spaceship-titanic-tfdf", "kernel_id": "51038892"}, {"ref": "margaretgathoni/spaceship-titanic-analytic-tutorial", "kernel_id": "51099231"}, {"ref": "tobniislam/spaceship-titanic-problem", "kernel_id": "51590129"}, {"ref": "ksugrl/notebook06fcd6ab0c", "kernel_id": "51026737"}, {"ref": "lieslvellara/titanic-space-liner", "kernel_id": "51775272"}, {"ref": "gaolang/msfs-autosklearn", "kernel_id": "51809006"}, {"ref": "dayvison/spaceship-titanic", "kernel_id": "51393554"}, {"ref": "sakshemgotekar/spaceship-titanic-eda-model-using-lightgbm", "kernel_id": "51061809"}, {"ref": "alekseyandrianov/spaceship-titanic", "kernel_id": "51024997"}, {"ref": "elenatypitsyna/ml-lite", "kernel_id": "51061777"}, {"ref": "chanchal24/heart-disease-eda-prediction-7-model-90-accuracy", "kernel_id": "51590126"}, {"ref": "popovvasily/spaceship-df", "kernel_id": "51121699"}, {"ref": "anjalikumari99/spaceshiptitanic", "kernel_id": "51440560"}, {"ref": "arthur111/titanic-travail-notebook", "kernel_id": "51726410"}, {"ref": "pattaponsongpetch/dl-p1-spaceship-titanic", "kernel_id": "51617350"}, {"ref": "alhsan/spaceship-titanic-predict-0-80", "kernel_id": "51853125"}, {"ref": "kaiweicao/space-titanic", "kernel_id": "51096576"}, {"ref": "mdkaif007/spaceship-titanic-ml", "kernel_id": "51224788"}, {"ref": "seifwael123/spaceship-titanic-complete-guide", "kernel_id": "51185916"}, {"ref": "juba231/titanic-challenge", "kernel_id": "51518694"}, {"ref": "boualemhamroune/spaceship-titanic-competition-code", "kernel_id": "51768156"}, {"ref": "fernaandodantas/lgbm-0-8066-score-top-7-solution", "kernel_id": "51141441"}, {"ref": "mesutssmn/titanic-spaceship-ml-ann", "kernel_id": "51993964"}, {"ref": "kalpanagarige/spaceship-titanic-dataset", "kernel_id": "51960227"}, {"ref": "denisgrimalyuk/spaceship-titanic-with-catboost-81", "kernel_id": "51274264"}, {"ref": "jensenrichardson/space-titanic-model", "kernel_id": "51188618"}, {"ref": "rishitaverma02/spaceship-titanic", "kernel_id": "51239846"}, {"ref": "akshita0560/spaceship-titanic", "kernel_id": "51068828"}, {"ref": "annushka46/mlite-galitsina-anna", "kernel_id": "51214653"}, {"ref": "alimr100/spaceship-titanic", "kernel_id": "51638087"}, {"ref": "bogdsinelnikov/mlite-sinelnikov-bogdan", "kernel_id": "51207484"}, {"ref": "khazovaalexandra/space-titanic-xgboost", "kernel_id": "51131979"}, {"ref": "khazovaalexandra/spacetitanic", "kernel_id": "51001334"}, {"ref": "dheerov/spaceship-titanic", "kernel_id": "51579053"}, {"ref": "alionx0002/notebookcc10c1b53d", "kernel_id": "51178973"}, {"ref": "tkdsss/spaceship-titanic3", "kernel_id": "51396737"}, {"ref": "ak45aaa/highschool-studunt-study", "kernel_id": "51635097"}, {"ref": "sholokhovan/notebook718820190e", "kernel_id": "51424035"}, {"ref": "neelakshigupta/spaceship-titanic", "kernel_id": "51069370"}, {"ref": "bvvkarthik/spaceship-titanic-0-80-beginner-friendly", "kernel_id": "51701173"}, {"ref": "mennatallah77/spaceship-titanic-8064-top-10-333", "kernel_id": "51951717"}, {"ref": "lastmile09/space-titanic", "kernel_id": "51072555"}, {"ref": "parasss/spaceship-titanic-prediction", "kernel_id": "51762975"}, {"ref": "badass2/spaceship-titanic-models-ensembling-80-acc", "kernel_id": "51270128"}, {"ref": "vaniadev/spaceship-titanic-with-tfdf", "kernel_id": "51204460"}, {"ref": "aannu13/space-dimension", "kernel_id": "51632291"}, {"ref": "akarshannirwan/fork-of-notebook45fca3bdf6", "kernel_id": "51432561"}, {"ref": "akarshannirwan/notebook45fca3bdf6", "kernel_id": "51428668"}, {"ref": "akarshannirwan/fork-of-fork-of-notebook45fca3bdf6", "kernel_id": "51482563"}, {"ref": "antchu/spaceship-titanic-v3", "kernel_id": "51858948"}, {"ref": "xavierre/spaceship-titanic-with-tfdf", "kernel_id": "51204445"}, {"ref": "sehajbirsinghbains/spaceship-titanic", "kernel_id": "51934535"}, {"ref": "ericmundt/simple-approach-to-spaceship-titanic", "kernel_id": "51083976"}, {"ref": "dedlinnn/spaceship-titanic-prediciton", "kernel_id": "51873924"}, {"ref": "rushaliny/spaceship-titanic-dataset", "kernel_id": "51471315"}, {"ref": "mohammadfawzy/spaceship-titanic-top-10-333", "kernel_id": "51923348"}, {"ref": "samarth199/comp-2-spaceship", "kernel_id": "51290870"}, {"ref": "samsungchungso/24-2-25-spaceship-titanic", "kernel_id": "51499283"}, {"ref": "rpatel24/hult-dd24-bos-7", "kernel_id": "51401840"}, {"ref": "wenlinhe/hult-mban1-team7", "kernel_id": "51434233"}, {"ref": "adhamelkomy/spaceship", "kernel_id": "51890267"}, {"ref": "whitecanvas/titanic-spaceship-test", "kernel_id": "51910781"}, {"ref": "akshayb1911/predictions", "kernel_id": "51962202"}, {"ref": "namishjindal4/spaceship-titanic", "kernel_id": "51269864"}, {"ref": "nishthakumari20/spaceship-titanic", "kernel_id": "51125840"}, {"ref": "galvanizedheart/spaceship-titanic-w-nn", "kernel_id": "51444380"}, {"ref": "zaharya/space-ship-0-80266", "kernel_id": "51134287"}, {"ref": "alirizaercan/spaceship-titanic-data-science-with-details", "kernel_id": "51887171"}, {"ref": "solisd/fintechtrue", "kernel_id": "51081634"}, {"ref": "daryavelibekova/notebook99696b7da4", "kernel_id": "51061083"}, {"ref": "elenamartyanova/martyanova-elena", "kernel_id": "51067029"}, {"ref": "antoninalub/notebookeb9e58f4ff", "kernel_id": "51131471"}, {"ref": "fedilansari/spaceship-titanic", "kernel_id": "51226162"}, {"ref": "mateuszpiechowski/spaceship", "kernel_id": "51440306"}, {"ref": "geraldsheenanvasyah/123test", "kernel_id": "51150942"}, {"ref": "elisahardian/helloworld", "kernel_id": "51150939"}, {"ref": "elisahardian/spaceship-titanic-with-tfdf", "kernel_id": "51151477"}, {"ref": "gloriawarella/test-first", "kernel_id": "51150825"}, {"ref": "gloriawarella/spaceship-titanic-with-tfdf", "kernel_id": "51151405"}, {"ref": "aisuko/titanic-spaceship-with-tf-decision-forest", "kernel_id": "52082471"}, {"ref": "rajo09/spaceship-titanic-eda-lgbm-xgb", "kernel_id": "52921339"}, {"ref": "nandubc/spaceship-titanic", "kernel_id": "52052242"}, {"ref": "nonsouris/p3-t4-submission", "kernel_id": "52702176"}, {"ref": "letslive/my-own-crappy-neural-network-with-titanic-from-sc", "kernel_id": "52213070"}, {"ref": "kayzm1010/on-handling-missing-data-in-mixed-type-data", "kernel_id": "52082774"}, {"ref": "srilalithagarapati/spaceship-titanic-analysis", "kernel_id": "52762737"}, {"ref": "scarfx/spaceship-titanic-ensemble-voting-model-acc-79-6", "kernel_id": "52998391"}, {"ref": "janghoonhwang/spaceship-decision-forests", "kernel_id": "52160728"}, {"ref": "sharif33/titanic-data-analysis", "kernel_id": "52247540"}, {"ref": "bunny11/spaceship-xgb", "kernel_id": "52848768"}, {"ref": "moezkloula/randomforest-with-missforest-imputation", "kernel_id": "52326477"}, {"ref": "moezkloula/spaceship-titanic-missforest-lgbm", "kernel_id": "52937864"}, {"ref": "laurentoland/spaceship-titanic", "kernel_id": "52003613"}, {"ref": "dineshram13/spaceship-transported-prediction-with-tensorflow", "kernel_id": "52082430"}, {"ref": "shivpalyadav/spaceship-titanic-by-shiv", "kernel_id": "52735182"}, {"ref": "cristhianccalah/spaceship-titanic-rf", "kernel_id": "52271217"}, {"ref": "kimkijun7/spaceship-titanic-eda-classifier-with-python", "kernel_id": "52759786"}, {"ref": "anadyasahai/spaceship-titanic-anadya", "kernel_id": "52254861"}, {"ref": "cristianpercivati/spaceship-titanic-around-80-precision", "kernel_id": "52109777"}, {"ref": "adends/spaceship-titanic-competition-with-ensemble-models", "kernel_id": "52611933"}, {"ref": "the1azreen/lab-p5-8-assignment-2-2-1-baseline", "kernel_id": "52293187"}, {"ref": "uurdemirkaya/spaceship-titanic", "kernel_id": "52083052"}, {"ref": "hiteshgtr/spaceship-titanic-logistic-regression", "kernel_id": "52712779"}, {"ref": "m0hammadjavad/spaceship-titanic-tensorflow-neural-network", "kernel_id": "52898023"}, {"ref": "alexsheckells/spaceship-titanic", "kernel_id": "52505414"}, {"ref": "alexflorentin/spaceship-titanic-competition", "kernel_id": "52640955"}, {"ref": "shazelp/4-classifier-model-for-spaceship", "kernel_id": "52964496"}, {"ref": "adhamad0/spaceship-titanic", "kernel_id": "52167110"}, {"ref": "marshallgrinstead/spaceship-titanic-10x10-neural-net-by-marsgrins", "kernel_id": "52127298"}, {"ref": "marshallgrinstead/spaceship-titanic-random-forest", "kernel_id": "52194122"}, {"ref": "danieldelasheras/spaceship-titanic", "kernel_id": "52006367"}, {"ref": "ziadeliwa/spaceship-titanic-final", "kernel_id": "52123963"}, {"ref": "aminmirzai2030/notebookb7ece7149f", "kernel_id": "52462160"}, {"ref": "d4doaj/spaceship-titanic-v2", "kernel_id": "52521196"}, {"ref": "ayobamiogunsanya/space-titanic-randomforest-yeilding-82", "kernel_id": "52609231"}, {"ref": "rohanroychoudhury/spaceship-titanic", "kernel_id": "52503861"}, {"ref": "profodonnell/ann-from-class", "kernel_id": "52003620"}, {"ref": "phillipnikolov/nikolov-spaceship-titanic", "kernel_id": "52596863"}, {"ref": "yonathangetachew/spaceship-titanic", "kernel_id": "52421185"}, {"ref": "kaziasrafuddinrakib/202011041-ye-bale-management", "kernel_id": "52761098"}, {"ref": "sharminkhanameva/id-202011037-titanic-data-analysis", "kernel_id": "52598132"}, {"ref": "janiduayeshan/spaceship-titanic", "kernel_id": "52438309"}, {"ref": "patsont/spaceship-titanic", "kernel_id": "52149497"}, {"ref": "lucastan69/submission-notebook", "kernel_id": "52770223"}, {"ref": "gohthiamaik/p2g7-spaceship", "kernel_id": "52850130"}, {"ref": "fatalxs/baseline-xgb-notebook", "kernel_id": "52767818"}, {"ref": "seetohzijie/spaceship-titanic-combined", "kernel_id": "52707135"}, {"ref": "davidburnet/spaceship-titanic-xgboost", "kernel_id": "52792962"}, {"ref": "krishnababuofficial/spaceship-titanic-using-lr-rf-xgb-ann-with-80", "kernel_id": "52719987"}, {"ref": "khinfoong/baseline-model", "kernel_id": "52566415"}, {"ref": "suriyabinteyalam36/suriya-bintey-alam-202011036", "kernel_id": "52598372"}, {"ref": "ohhohh777/project", "kernel_id": "52684618"}, {"ref": "zumanatasnin/202011029-titanicdataanalysis", "kernel_id": "52721448"}, {"ref": "kj0409/spaceship-titanic-eda", "kernel_id": "52991537"}, {"ref": "kaixinlee3112/a2-2-spaceship-titanic-p1-group-4", "kernel_id": "52899229"}, {"ref": "urbimalihafarzana/notebook629a5ea483", "kernel_id": "52929127"}, {"ref": "urbimalihafarzana/notebookfa2bdb4d34", "kernel_id": "52941289"}, {"ref": "glebmikh/aigerim-numeric-eda", "kernel_id": "53992763"}, {"ref": "glebmikh/spaceship-titanic-eda-pandas-solution", "kernel_id": "53057873"}, {"ref": "dmitrykonovalov/fastai-lesson-6a-random-forests", "kernel_id": "53693410"}, {"ref": "nicholastqs/improved-baseline-model-sit-lab-p5-group-8", "kernel_id": "53191036"}, {"ref": "aloysiuschng/suggested-notebook-2", "kernel_id": "53461217"}, {"ref": "aloysiuschng/suggested-notebook-1", "kernel_id": "53463164"}, {"ref": "clarenceagnc/spaceship", "kernel_id": "53003822"}, {"ref": "clarenceagnc/spaceship-starship-xgb", "kernel_id": "53319235"}, {"ref": "clarenceagnc/spaceship-titanic-0-81-latest", "kernel_id": "53345918"}, {"ref": "nightey3s/notebookdf041aea0f", "kernel_id": "53512226"}, {"ref": "shambhavirai/spaceship-titanic-eda-random-forest", "kernel_id": "53607647"}, {"ref": "thomaslazarus/neural-net-from-scratch", "kernel_id": "53766269"}, {"ref": "pedrodematos/spaceship-titanic-a-comprehensive-guide", "kernel_id": "53369375"}, {"ref": "fishpain/spaceship-ml-a2", "kernel_id": "53445127"}, {"ref": "hobeomlee/classification-using-randomforestimputation", "kernel_id": "53259202"}, {"ref": "nicopyds/top-10-219-scikit-learn-pipelines-catboost", "kernel_id": "53623104"}, {"ref": "serkandurmussaglam/spaceship-titanic-eda-simple-neural-network", "kernel_id": "53207729"}, {"ref": "manas28/spaceship-titanic-pytorch-ann", "kernel_id": "53231768"}, {"ref": "rizalrahman/spaceshiptitanic-models-v2", "kernel_id": "53643955"}, {"ref": "yaroslav53/spaceship-titanic-main", "kernel_id": "53893784"}, {"ref": "yaroslav53/spaceship-titanic-baseline", "kernel_id": "53409694"}, {"ref": "purnataghosal/spaceship-titanic-with-rf-and-naive-bayes", "kernel_id": "53124658"}, {"ref": "reaperlethal/notebook48fa46d603", "kernel_id": "53809745"}, {"ref": "nekomei/limei-spaceshiptitanic", "kernel_id": "53723491"}, {"ref": "nekomei/limei-spaceship-titanic-2", "kernel_id": "53777854"}, {"ref": "almaktashi/notebook-using-imputer-and-ordinal-encoding", "kernel_id": "53144939"}, {"ref": "akmalyaasir/spaceship-titanic", "kernel_id": "53696378"}, {"ref": "santonyalexia/space-titanic-ml-prediction", "kernel_id": "53459727"}, {"ref": "vishnumuralikrishnan/spaceshiptitanic", "kernel_id": "53657943"}, {"ref": "adrianglazer/titanic-notebook", "kernel_id": "53240420"}, {"ref": "gururajhalemani/notebookd528105486", "kernel_id": "53793231"}, {"ref": "arvindvasa/spaceship-titanic-82-accuracy", "kernel_id": "53593279"}, {"ref": "quayjunwei/lgbm-0-8066-score-top-7-solution", "kernel_id": "53487371"}, {"ref": "shadesh/inf2008-project-galactic-explorer", "kernel_id": "53650114"}, {"ref": "lexusbedra/spaceship-titanic-mlp", "kernel_id": "53018809"}, {"ref": "mohammedashraf000/spaceship-titanic", "kernel_id": "53421139"}, {"ref": "ryanhowington/spaceship-titanic-public-notebook", "kernel_id": "53739921"}, {"ref": "sangwan123/titanic-ksw", "kernel_id": "53394742"}, {"ref": "alydiazhang/spaceship-titanic", "kernel_id": "53560456"}, {"ref": "susanta21/kaggle-spaceship-titanic", "kernel_id": "53943417"}, {"ref": "sweejunhong711/inf2008-p5-2-improvedbaseline", "kernel_id": "53219832"}, {"ref": "behnamroustaeii/titanicspaceship2", "kernel_id": "53617003"}, {"ref": "behnamroustaeii/titanicspaceshipproject", "kernel_id": "53549731"}, {"ref": "muhammadaman004/spaceship-titanic-prediction", "kernel_id": "53903244"}, {"ref": "r2303254/inf2008-p5-2-improvedbaselinev2", "kernel_id": "53382647"}, {"ref": "shazelp/spaceship-titanic-dnn", "kernel_id": "53551634"}, {"ref": "shazelp/spaceship-titanic-with-logistic-regression", "kernel_id": "53124651"}, {"ref": "shazelp/spaceship-titanic-with-decision-tree-classifier", "kernel_id": "53145475"}, {"ref": "shazelp/spaceship-titanic-with-random-forest-classifier", "kernel_id": "53146196"}, {"ref": "shazelp/spaceship-titanic-xgboost", "kernel_id": "53183053"}, {"ref": "tohshixuan/p3g7-a2", "kernel_id": "53558660"}, {"ref": "adityasharmajprr/spaceship-titanic-new", "kernel_id": "53620200"}, {"ref": "putupadmanaba231/notebookd3b61b915e", "kernel_id": "53659728"}, {"ref": "dattatejaofficial/spaceship-titanic-with-random-forests", "kernel_id": "53650361"}, {"ref": "bilgehanyaylali/spaceship-lgbm-0-8017", "kernel_id": "53085942"}, {"ref": "desalperterson/catboost-increase-threshold-score-0-81", "kernel_id": "53417661"}, {"ref": "whoistfq/improved-spaceship-titanic-inf2008-p8-adhocgroup6", "kernel_id": "53565947"}, {"ref": "strawberryzatanna/spacetitanicboosted", "kernel_id": "53910262"}, {"ref": "tahmidaahmedtarin/notebook5ae363ea1f", "kernel_id": "53084930"}, {"ref": "mdnajmulhasan614/najmul-hasan-202011021-titanic", "kernel_id": "53049750"}, {"ref": "aaronfriasr/spaceship-titanic-eda-random-forest-classifier", "kernel_id": "53801838"}, {"ref": "dnathan22/spaceship-titanic-xgboost", "kernel_id": "53040380"}, {"ref": "mykhailokaschiy/11-classification-models-prediction", "kernel_id": "53358645"}, {"ref": "mykhailokaschiy/spaceship-titanic-80-2-accuracy", "kernel_id": "53571048"}, {"ref": "khairinnor/titanic-spaceship-improved-notebook", "kernel_id": "53458225"}, {"ref": "igshan/p3-3-improve-baseline", "kernel_id": "53463338"}, {"ref": "kennethwyq/assignment-2", "kernel_id": "53437422"}, {"ref": "erickohmh/lab-p2-3-a2", "kernel_id": "53532470"}, {"ref": "muhammadfiqriadam/lab-p8-8-space-titanic-a2-2-1-base-code", "kernel_id": "53513871"}, {"ref": "muhammadfiqriadam/lab-p8-8-space-titanic-a2-2-2-a2-2-3", "kernel_id": "53491216"}, {"ref": "funkaijun/lgbm-0-8066-score-top-7-solution-kj-ver", "kernel_id": "53416573"}, {"ref": "farhanhan1/81-models-backward-feature-selection", "kernel_id": "53521903"}, {"ref": "lemonmeringueee/improved-baseline", "kernel_id": "53537700"}, {"ref": "zbindenzahlen/spaceship-titanic", "kernel_id": "53356000"}, {"ref": "tanweeming/improved-spaceship-titanic-ict2008-p8-group6", "kernel_id": "53480337"}, {"ref": "ngtenghui/improved-baseline-p2g9", "kernel_id": "53491359"}, {"ref": "tkh123/improving-baseline-for-project", "kernel_id": "53049763"}, {"ref": "peisheng888/p1-group-6-assignment-2", "kernel_id": "53546154"}, {"ref": "jonathanchua7/space-titanic-1", "kernel_id": "53252866"}, {"ref": "seanmartinharvey/spaceship-titanic-random-forest", "kernel_id": "53467810"}, {"ref": "khinfoong/improved-baseline", "kernel_id": "53050760"}, {"ref": "sandra53/inf2008-g4-improved-baseline-final", "kernel_id": "53148999"}, {"ref": "hengyuxin/p5t6-inf2008-a2-spaceship", "kernel_id": "53487269"}, {"ref": "mahendramedapati/spaceshiptitanic-by-randomforestclassifier", "kernel_id": "53489616"}, {"ref": "balix12/zadanie-1-uczenie-maszynowe", "kernel_id": "53892196"}, {"ref": "dominiktwardoch/project-1-spaceship-titanic", "kernel_id": "53363028"}, {"ref": "win0sexp/myedition", "kernel_id": "53044428"}, {"ref": "javinlim/space-titanic-eda-advanced-feature-engineering", "kernel_id": "53400434"}, {"ref": "javinlim/space-titanic-notebook-1", "kernel_id": "53400008"}, {"ref": "muhammadzulfadhlee/complete-update-baseline", "kernel_id": "53323144"}, {"ref": "carmenwongjiawen/sit-ml-knn-p8-grp7", "kernel_id": "53496756"}, {"ref": "leeruyuan/edited-xgb-v2-0", "kernel_id": "53519414"}, {"ref": "benjaminchiam/inf2008-p2-g4-improved-baseline", "kernel_id": "53566570"}, {"ref": "teamp306/spaceship-submission", "kernel_id": "53561017"}, {"ref": "teamp306/titanic-submission-p3-06", "kernel_id": "53564739"}, {"ref": "whereistfq/please-please-please", "kernel_id": "53563298"}, {"ref": "whereistfq/to-test", "kernel_id": "53542565"}, {"ref": "vivinamalraj/spaceship-titanic-logisticregression", "kernel_id": "53890227"}, {"ref": "rajo09/spaceship-titanic-eda-lgbm-optuna-80-05", "kernel_id": "54081686"}, {"ref": "artemenon/building-data-science-assistant-with-google-gemma", "kernel_id": "54694795"}, {"ref": "guindo/spaceship-titanic-prediction", "kernel_id": "54065542"}, {"ref": "aadishsharma/spaceship-prediction", "kernel_id": "54397586"}, {"ref": "dhyeybhalani/space-titanic-eda-and-prediction", "kernel_id": "54131785"}, {"ref": "emrekayik/spaceship-titanic", "kernel_id": "54759135"}, {"ref": "bhagyattrivedi/eda-and-modeling", "kernel_id": "54507329"}, {"ref": "mihiranpasindu/spaceship-titanic", "kernel_id": "54736193"}, {"ref": "ggaryypeng/predict-with-mutual-information-svc", "kernel_id": "54832026"}, {"ref": "cchen002/spaceship-titanic-xgboost-80-accuracy", "kernel_id": "54662011"}, {"ref": "leewanhung/simple", "kernel_id": "54390214"}, {"ref": "profpratham/titanic-pandas-tutorial", "kernel_id": "54301080"}, {"ref": "aryankalia17/spaceship-titanic", "kernel_id": "54194170"}, {"ref": "anubhavsood/spaceship-titanic", "kernel_id": "54550273"}, {"ref": "diegoamd/spacetitanic", "kernel_id": "54004739"}, {"ref": "anubhav1313/practice-ann", "kernel_id": "54270217"}, {"ref": "fiftythirtyfour/spaceship-titanic-svc-0-79354", "kernel_id": "54700928"}, {"ref": "shaiksalman28/titanic-spaceship", "kernel_id": "54811498"}, {"ref": "andreynaligatskidias/spaceship-titanic-prediction", "kernel_id": "54304070"}, {"ref": "ameynarwadkar/random-forest-from-scratch", "kernel_id": "54800132"}, {"ref": "valamcortes/spaceship-titanic", "kernel_id": "54466681"}, {"ref": "ineerav/spaceship-titanic-with-tfdf", "kernel_id": "54809503"}, {"ref": "khangtran94vn/spaceship-titanic-khang", "kernel_id": "54243112"}, {"ref": "triggerman/spaceship-titanic-with-binary-classification", "kernel_id": "54853566"}, {"ref": "vasudevsrivastava/spaceship-titanic-top-5-beginner-friendly", "kernel_id": "54501326"}, {"ref": "anjanajmurali/spaceship-titanic-eda-knn-logisticregression", "kernel_id": "54113458"}, {"ref": "jamessuryaputra/bullet-shuttle-ii", "kernel_id": "54777268"}, {"ref": "himaanishaggarwal/spaceship", "kernel_id": "54226586"}, {"ref": "amiteshsharma667/spaceship-amitesh", "kernel_id": "54558582"}, {"ref": "prativamohapatra/notebook-spaceship-tatinic-score-0-80079-986e3f", "kernel_id": "54791662"}, {"ref": "ishph102016098/spaceship-titanic-eda-lgbm-classifier", "kernel_id": "54233173"}, {"ref": "sathwikreddyc07/notebook21e369d7a0", "kernel_id": "54511080"}, {"ref": "pranavkharat/space-titanic-83-score", "kernel_id": "54530876"}, {"ref": "hammaduwu/oop-final", "kernel_id": "54832241"}, {"ref": "lindseydye/spaceship-titanic-618", "kernel_id": "54371055"}, {"ref": "nishasirdesai/eda-modeling-xgboost", "kernel_id": "54511098"}, {"ref": "sahilqureshi7/space-titanic-80-accuracy", "kernel_id": "54536324"}, {"ref": "piotrniezabitowski/spaceship-tytanic", "kernel_id": "54313513"}, {"ref": "samanvaysiddharth/spaceshiptitanic101", "kernel_id": "54819438"}, {"ref": "unsername/space-titanic", "kernel_id": "54121150"}, {"ref": "elliotx1000/spaceship-titanic-with-dnn", "kernel_id": "54550788"}, {"ref": "elliotx1000/spaceship-titanic-v2", "kernel_id": "54339856"}, {"ref": "cartoonistbeard/notebook0d6c603326", "kernel_id": "54501117"}, {"ref": "anetabaranska/spaceship-titanic-um", "kernel_id": "54141332"}, {"ref": "rituparnomajumdar/spaceship-titanic-prediction", "kernel_id": "54560869"}, {"ref": "namlephuong/sp-titanic", "kernel_id": "54247828"}, {"ref": "vulehaugiang/spaceship-solution-with-r-hau-giang-from-vietnam", "kernel_id": "54199471"}, {"ref": "tienweihsu/spaceship-titanic-tfdf", "kernel_id": "54073411"}, {"ref": "suvidhasrivastava04/spaceshiptitanic-suvidha", "kernel_id": "54202168"}, {"ref": "youdayyy/spaceship-titanic-prediction", "kernel_id": "54602008"}, {"ref": "mikedelong/improve-our-dumb-model-with-dummies", "kernel_id": "55090133"}, {"ref": "yutodennou/preprocessing-4-ways-of-tree-visualization", "kernel_id": "55984142"}, {"ref": "yutodennou/preprocessing-master-pipeline", "kernel_id": "55663407"}, {"ref": "shamiulislamshifat/spaceship-titanic-with-tfdf", "kernel_id": "55919221"}, {"ref": "shamiulislamshifat/titanic-spaceship-analysis-with-llm", "kernel_id": "55915160"}, {"ref": "murph99/beginners-guide-to-data-science-titanic-space", "kernel_id": "55707107"}, {"ref": "hokwon/hokwonkang-02321020", "kernel_id": "55179222"}, {"ref": "dbswnchichi/ai-midtermexam", "kernel_id": "55539718"}, {"ref": "chanchal24/breast-cancer-prediction-with-7-models-98-acc", "kernel_id": "55368660"}, {"ref": "astraeajh/ust-02313072", "kernel_id": "55349443"}, {"ref": "brothergyu/spaceship-titanic-eda-jhg", "kernel_id": "55179577"}, {"ref": "alejandromendozaarv/spaceship-titanic-with-catboost", "kernel_id": "55511775"}, {"ref": "averilkan/spaceship-titanic-dataset-classification", "kernel_id": "55101838"}, {"ref": "apopur/spaceship-titanic-with-tfdf", "kernel_id": "55220361"}, {"ref": "danscarafoni/notebookd0b79c0299", "kernel_id": "55947440"}, {"ref": "victornuez/spaceship-practice-notebook", "kernel_id": "55596222"}, {"ref": "le3than/20240422-ai01-midterm-exam-02421006", "kernel_id": "55188350"}, {"ref": "nileshiq/visualizing-the-spaceship-titanic-adventure", "kernel_id": "55281037"}, {"ref": "trangbuithithu/mid-term-exam-spaceship-titanic", "kernel_id": "55183586"}, {"ref": "cowslow/ust-ai-midterm-kasi", "kernel_id": "55207866"}, {"ref": "sachinsd/unique-analysis-xgb", "kernel_id": "55158867"}, {"ref": "drewftw260/spaceship-titanic-analysis", "kernel_id": "55372335"}, {"ref": "jamieogundiran1/space-titanic-using-xgboost", "kernel_id": "55825679"}, {"ref": "ismexar/spaceship-titanic-using-different-ml-models", "kernel_id": "55220776"}, {"ref": "leurondraphal/spacetitanic", "kernel_id": "55199817"}, {"ref": "chahyunwoo/midterm-solution-submission-example-02421081", "kernel_id": "55546670"}, {"ref": "berkaygl07/titanic-dataset-nb", "kernel_id": "55951793"}, {"ref": "sabrinasamaral/2024-04-spaceship-titanic", "kernel_id": "55024984"}, {"ref": "ahmedanoureldeen/spaceship-titanic", "kernel_id": "55916738"}, {"ref": "chopper53/spaceshiptitanicusingxgboost", "kernel_id": "55094911"}, {"ref": "chopper53/spaceshiptitanicusinggradientboosting", "kernel_id": "55095330"}, {"ref": "chopper53/spaceshiptitanicusingrandomforest", "kernel_id": "55084630"}, {"ref": "rafaaell/spaceship-titanic-xgb-rf-knn", "kernel_id": "55345678"}, {"ref": "reinharduehleke/spaceship-titanic-with-xgboost-and-optuna", "kernel_id": "55688735"}, {"ref": "neuromanxer/spaceship-titanic-with-tfdf", "kernel_id": "55401968"}, {"ref": "zinzae/20240422-midterm-exam-02311024-jinjaewook", "kernel_id": "55179678"}, {"ref": "jemschawin/spaceship-titanic-space-time-anomaly-prediction", "kernel_id": "55611929"}, {"ref": "hammaduwu/oop-final-2", "kernel_id": "55063071"}, {"ref": "geek1it/space-titanic", "kernel_id": "55718124"}, {"ref": "davidg960/space-adventure", "kernel_id": "55230951"}, {"ref": "dominiksidorczuk93/space-cruiser", "kernel_id": "55486086"}, {"ref": "chunggeonleekit/mid-term-02413021", "kernel_id": "55186343"}, {"ref": "derektheodore/midterm", "kernel_id": "55435304"}, {"ref": "yangmingyeong/240424-ust-ai-midterm-exam-mingyeong", "kernel_id": "55333918"}, {"ref": "leejinhokriso/mid-term-exam-ljh", "kernel_id": "55177825"}, {"ref": "seorinko/2024-04-22-ai-midterm", "kernel_id": "55179281"}, {"ref": "hcrystal/ai01-midterm-exam", "kernel_id": "55367458"}, {"ref": "ellaiha/ai-02322083-junyeong-sung", "kernel_id": "55276553"}, {"ref": "sojeongjeon/mid-test-jsj", "kernel_id": "55689108"}, {"ref": "mirfan244/mid-term-muhammad-irfan", "kernel_id": "55623621"}, {"ref": "leehaeunkfri/solution-submission-lhe-kfri", "kernel_id": "55665622"}, {"ref": "nargizaodilova/nargiza-odilova", "kernel_id": "55681646"}, {"ref": "nargizaodilova/midterm-exam", "kernel_id": "55597766"}, {"ref": "jaebeomkang/midterm-jaebeom-kang", "kernel_id": "55508358"}, {"ref": "sol1221/solution-midterm", "kernel_id": "55760845"}, {"ref": "belllll0/submission-solution", "kernel_id": "55679907"}, {"ref": "holyphuong/midterm-assignment-ho-ly-phuong-02412041", "kernel_id": "55193867"}, {"ref": "ahnduk/midterm-nguyen-anh-duc-ai2024", "kernel_id": "55251906"}, {"ref": "yongjuyoo3234/20240422-ai01-midterm", "kernel_id": "55183957"}, {"ref": "sleepkim/asssignment01-02421083-shc-report", "kernel_id": "55550276"}, {"ref": "donghyeokkoh/ustclass-ai-0-2417-0-midterm", "kernel_id": "55550128"}, {"ref": "yunsuphwang/spaceship-titanic", "kernel_id": "55613420"}, {"ref": "kfejiminlee/midterm-exam-kfejiminlee", "kernel_id": "55657499"}, {"ref": "champham/240422-midterm-ai03-cham-quynh-pham-02421072", "kernel_id": "55243541"}, {"ref": "lavish001/spaceship-titanic", "kernel_id": "55380757"}, {"ref": "trunzer/spaceship-titanic-with-tfdf", "kernel_id": "55277981"}, {"ref": "trunzer/space-titanic-2nd", "kernel_id": "55439629"}, {"ref": "badal9129/spaceship-titanic-kaggle", "kernel_id": "55232618"}, {"ref": "nurulfuadipratiwi/midterm-ai-22-28-april-2024", "kernel_id": "55703267"}, {"ref": "derslerytu/final-spaceshiptitanic", "kernel_id": "56115231"}, {"ref": "mina99/minagachloo-spaceshiptitanic", "kernel_id": "56442653"}, {"ref": "igalbronshtein/spaceship-column-name", "kernel_id": "56173573"}, {"ref": "rizkykiky/contoh-notebook-pengerjaan-gt", "kernel_id": "56116320"}, {"ref": "treycastle/castle-final", "kernel_id": "56443664"}, {"ref": "laurenober/spaceship-titanic-competition-end-to-end-project", "kernel_id": "56014206"}, {"ref": "xyznihal/spaceship-titanic-using-random-forest-classifier", "kernel_id": "56490143"}, {"ref": "brianalvarez/brianfinal-spaceshiptitanic", "kernel_id": "56442624"}, {"ref": "eneskosar19/titanic-spaceship-competition-complete-guide", "kernel_id": "56354758"}, {"ref": "colemengelberg/spaceship-titanic-classification", "kernel_id": "56268383"}, {"ref": "faibernand/classification-on-spaceship", "kernel_id": "56435222"}, {"ref": "sabamadadi/titanic-spaceship-classification", "kernel_id": "56832851"}, {"ref": "prince89/xgboost-with-spaceship-titanic", "kernel_id": "56487331"}, {"ref": "loguntsovas/spaceship-titanic", "kernel_id": "56436341"}, {"ref": "lexusbedra/spaceship-titanic-lightgbm", "kernel_id": "56241109"}, {"ref": "mehak18p/co21343-mehak-comp", "kernel_id": "56630006"}, {"ref": "manrajsinghgill/spaceship-co21342", "kernel_id": "56567321"}, {"ref": "moveton/logbook-of-the-spaceship-titanic", "kernel_id": "56475499"}, {"ref": "khushbuco21336/titanic-competition", "kernel_id": "56526946"}, {"ref": "berkayozturkx/spaceship-titanic", "kernel_id": "56760825"}, {"ref": "leoncwb/spaceship-titanic", "kernel_id": "56092757"}, {"ref": "audreywarrene/audreywarrene-final", "kernel_id": "56442660"}, {"ref": "buluttok/bulutspaceshiptitanic", "kernel_id": "56442670"}, {"ref": "karan8013/titanic-spaceship-competetion", "kernel_id": "56460992"}, {"ref": "karan8013/titanic-spaceship-dma-80-accuracy", "kernel_id": "56469369"}, {"ref": "alliehumphrey/alliehumphreyfinal", "kernel_id": "56442634"}, {"ref": "vyle17/logistic-regression", "kernel_id": "56037942"}, {"ref": "cardata/spaceship-titanic-data-analysis", "kernel_id": "56150903"}, {"ref": "emtpro01/notebookef5738c4d7", "kernel_id": "56388365"}, {"ref": "chetankumar21315/dma-compi-co21315-new-1", "kernel_id": "56406218"}, {"ref": "jaskiratkaur23/notebook8d1933cf5a", "kernel_id": "56744368"}, {"ref": "nirbhaysinghsandhu/spaceship-titanic", "kernel_id": "56609927"}, {"ref": "ericguetta/ericguettafinal", "kernel_id": "56442628"}, {"ref": "tylerblack117/tylerblackfinal", "kernel_id": "56442886"}, {"ref": "dnathan22/nathandavisfinal", "kernel_id": "56443149"}, {"ref": "bryceadk/bryceadkins-final-spaceshiptitanic", "kernel_id": "56442662"}, {"ref": "spnico/nickwilliams-final", "kernel_id": "56442681"}, {"ref": "phillipnikolov/nikolov-final-spaceshiptitanic", "kernel_id": "56442621"}, {"ref": "doanaybalaban/spaceship-titanic", "kernel_id": "56968021"}, {"ref": "itathagatkumar/notebookcaf85fd7a0", "kernel_id": "56164158"}, {"ref": "sebastinazamaravils/space-predict", "kernel_id": "56054187"}, {"ref": "kaialm/notebook84a6e47b3d", "kernel_id": "56443915"}, {"ref": "johnathanyong/spaceship-titanic-dataset", "kernel_id": "56919745"}, {"ref": "naksungp/spaceship-titanic-with-tfdf", "kernel_id": "57745913"}, {"ref": "dirasabrina/spaceship-titanic-prediction", "kernel_id": "57812930"}, {"ref": "ragib310/spaceship-titanic", "kernel_id": "57296343"}, {"ref": "loyumbamoirangthem/xgboost-classification", "kernel_id": "57699014"}, {"ref": "nokichien/hw-spaceship-titanic", "kernel_id": "57133362"}, {"ref": "sepehrrezaei/sepehrrezaee-spaceshiptitanic", "kernel_id": "57057669"}, {"ref": "brothergyu/spaceship-titanic-hyperparameter-tuning-jhg", "kernel_id": "57669103"}, {"ref": "jacobsultan/how-to-impute-nearly-every-cabin-correctly", "kernel_id": "57436109"}, {"ref": "avicenne/notebook-spaceship-titanic-79", "kernel_id": "57313962"}, {"ref": "sajibgta/spaceship", "kernel_id": "57489009"}, {"ref": "stark2401/titanic-spaceship", "kernel_id": "57735253"}, {"ref": "eyupatalay/space-titanic-2nd", "kernel_id": "57934901"}, {"ref": "himanshubarange/spaceship-passenger-survival", "kernel_id": "57746270"}, {"ref": "rakeshalasakani/spaceship-titanic-dt-rf-xgb-logistic-0-801", "kernel_id": "57222718"}, {"ref": "middlehigh/space-of-code-analyzing-spaceship-titanic", "kernel_id": "57354834"}, {"ref": "draganpinsent98/spaceship-titanic-r-glm-rf-dt-nb", "kernel_id": "57428447"}, {"ref": "sarametawea/titanic", "kernel_id": "57406532"}, {"ref": "victorhugochaves/neural-network-96-6-acc", "kernel_id": "57073657"}, {"ref": "mirfan244/practise20240521", "kernel_id": "57750938"}, {"ref": "umirovabdilaziz/mid-term-exam", "kernel_id": "57078879"}, {"ref": "stupy18/baseline-spaceship", "kernel_id": "57834650"}, {"ref": "kacperrogala/spaceship-titanic-using-simple-logistic-regression", "kernel_id": "57197836"}, {"ref": "zacharymcollins/super-simple-catboost", "kernel_id": "57054622"}, {"ref": "teddynye/spaceship-titanic-with-lightgbm", "kernel_id": "57137031"}, {"ref": "pchhalotre321chh/spaceship-titanic", "kernel_id": "57294914"}, {"ref": "tariksaglam/spaceship-titanic-eda-prediction-lightgbm", "kernel_id": "57446795"}, {"ref": "munirayusufhandli/spaceship-titanic-with-tfdf", "kernel_id": "57700035"}, {"ref": "stpeteishii/spaceship-titanic-flaml", "kernel_id": "58524225"}, {"ref": "hokwon/02321020-hokwonkang-decisiontreeclassifier", "kernel_id": "58763376"}, {"ref": "nileshmore2309/spaceship-titanic", "kernel_id": "58555676"}, {"ref": "yaroslav53/svm-and-knn-spaceship-titanic", "kernel_id": "58525162"}, {"ref": "cwww41/spaceship-version-1", "kernel_id": "58490554"}, {"ref": "abdullah123456/titanic-prediction", "kernel_id": "58900088"}, {"ref": "gallo33henrique/spaceship-titanic-ml-gradient-boosting", "kernel_id": "58398008"}, {"ref": "tahacan11/spaceship-titanic", "kernel_id": "58630767"}, {"ref": "rxshark/spaceship-titanic-notebook", "kernel_id": "58873177"}, {"ref": "danishammar/spaceship-titanic-rf-gbc-lr-acc-80", "kernel_id": "58136427"}, {"ref": "iladam/space-titanic", "kernel_id": "58349930"}, {"ref": "amirmohammadparvizi/space-titanic-0-81342", "kernel_id": "58367961"}, {"ref": "emrealty/logistic-regression-space", "kernel_id": "58571928"}, {"ref": "darshanvg/spaceship-titanic", "kernel_id": "58160933"}, {"ref": "nurzhhanovbeket/spaceshipbeket", "kernel_id": "58909015"}, {"ref": "jeonghyeonyeop/tp-2000333", "kernel_id": "58064248"}, {"ref": "yejiinthepark/ml-tp-6", "kernel_id": "58169841"}, {"ref": "zinzae/assignment-randomforest-02311024-jinjaewook", "kernel_id": "58966078"}, {"ref": "zinzae/assignment-decisiontree-02311024-jinjaewook", "kernel_id": "58858061"}, {"ref": "ellaiha/02322083-junyeong-sung-decisiontreeclassifier", "kernel_id": "58424049"}, {"ref": "mirfan244/spaceship-titatic", "kernel_id": "58420951"}, {"ref": "mirfan244/spaceship-titanic-descision-tree", "kernel_id": "58759858"}, {"ref": "nargizaodilova/nargiza-odilova-assignment", "kernel_id": "58523900"}, {"ref": "holyphuong/ai-assignment-random-forest-ho-ly-phuong", "kernel_id": "58765637"}, {"ref": "yongjuyoo3234/final", "kernel_id": "58953801"}, {"ref": "lucasabau/spaceship-titanic", "kernel_id": "58266250"}, {"ref": "cristeaoctavian/spaceship-titanic", "kernel_id": "58597867"}, {"ref": "andreistoica00/spaceship-titanic-stoica-andrei", "kernel_id": "58562185"}, {"ref": "hostlol/titanicnotebook", "kernel_id": "58274990"}, {"ref": "mohamedmdiop/notebookbb46d1b4d8", "kernel_id": "58072137"}, {"ref": "yuntechimb11123020/spaceship-titanic-g6", "kernel_id": "58394269"}, {"ref": "christyww/rf-attempt-accuracy-0-794", "kernel_id": "58651819"}, {"ref": "msvana/spaceship", "kernel_id": "59065455"}, {"ref": "lucasmr/gridsearch2classifiers", "kernel_id": "59945680"}, {"ref": "alexsandroj/spaceship-titanic-models", "kernel_id": "59590984"}, {"ref": "hokwon/02321020-hokwonkang-randomforestclassifier", "kernel_id": "59533429"}, {"ref": "hokwon/02321020-hokwonkang-lgbmclassifier", "kernel_id": "59535068"}, {"ref": "dbswnchichi/ai-assignment-randomforestclassifier", "kernel_id": "59942653"}, {"ref": "dbswnchichi/ai-assignment-lgbmclassifier", "kernel_id": "59942712"}, {"ref": "dbswnchichi/ai-assignment-decisiontreeclassifier", "kernel_id": "59933052"}, {"ref": "gamirandads/learn-functiontransformer-and-pipeline", "kernel_id": "59098436"}, {"ref": "maksimspiridonov/catboost-st", "kernel_id": "59570735"}, {"ref": "alexzano/spaceship-notebook-r", "kernel_id": "59575211"}, {"ref": "therealarnab/spaceshiptitanic", "kernel_id": "59670404"}, {"ref": "le3than/20240617-ai01-assignment-02421006", "kernel_id": "59419239"}, {"ref": "rahulkanakam/spaceship", "kernel_id": "59720053"}, {"ref": "trangbuithithu/spaceship-titanic-lgbmclassifier", "kernel_id": "59934489"}, {"ref": "trangbuithithu/spaceship-titanic-decisiontreeclassifier", "kernel_id": "59932430"}, {"ref": "trangbuithithu/spaceship-titanic-randomforestclassifier", "kernel_id": "59948467"}, {"ref": "minhthonglai/spaceship-titanic-xgboost-ann", "kernel_id": "59252993"}, {"ref": "kanchannaval/spaceship-titanic-notebook", "kernel_id": "59435708"}, {"ref": "eliasmnds/spaceship-titanic", "kernel_id": "59082375"}, {"ref": "draganpinsent98/spaceship-titanic-python-rf-xgboost", "kernel_id": "59439692"}, {"ref": "usamasaeed451/spaceship-titanic", "kernel_id": "59412785"}, {"ref": "zinzae/assignment-lgbm-02311024-jinjaewook", "kernel_id": "59128500"}, {"ref": "mehulgoyal1729/titanic-spaceship-with-tuned-df-82-7", "kernel_id": "59280472"}, {"ref": "namlh2004/catboost-increase-threshold-score-0-81", "kernel_id": "59318501"}, {"ref": "chunggeonleekit/hyperparmeter-tuning-02413021", "kernel_id": "59415296"}, {"ref": "derektheodore/assignment3", "kernel_id": "59838117"}, {"ref": "derektheodore/assignment2", "kernel_id": "59816847"}, {"ref": "derektheodore/assignment-randomizedsearchcv-decisiontreeclassi", "kernel_id": "59642540"}, {"ref": "leejinhokriso/lgbmclassifier-randomizedsearchcv-ljh", "kernel_id": "59932193"}, {"ref": "leejinhokriso/decisiontreeclassifier-randomizedsearchcv-ljh", "kernel_id": "59931808"}, {"ref": "leejinhokriso/randomforestclassifier-randomizedsearchcv-ljh", "kernel_id": "59692170"}, {"ref": "seorinko/randomizedsearchcv-lgbmclassifier-2", "kernel_id": "59442069"}, {"ref": "seorinko/randomizedsearchcv-randomforestclassifier", "kernel_id": "59437308"}, {"ref": "seorinko/randomizedsearchcv-decisiontreeclassifier", "kernel_id": "59162113"}, {"ref": "ellaiha/02322083-junyeong-sung-randomforestclassifier", "kernel_id": "59237943"}, {"ref": "ellaiha/02322083-junyeong-sung-lgbmclassifier", "kernel_id": "59238265"}, {"ref": "mirfan244/assignment-spaceship-titanic-dt", "kernel_id": "59248277"}, {"ref": "mirfan244/assignment-spaceship-titanic-rf", "kernel_id": "59416665"}, {"ref": "mirfan244/assignment-spaceship-titanic-lgbm", "kernel_id": "59417584"}, {"ref": "sol1221/assignment", "kernel_id": "59934628"}, {"ref": "holyphuong/ai-assignment-randomforestclassifier-ho-ly-phuong", "kernel_id": "59684867"}, {"ref": "holyphuong/ai-assignment-decisiontree-ho-ly-phuong", "kernel_id": "59685104"}, {"ref": "holyphuong/ai-assignment-lgbm-ho-ly-phuong", "kernel_id": "59665816"}, {"ref": "holyphuong/ai-assignment-decision-tree-ho-ly-phuong", "kernel_id": "59653857"}, {"ref": "ahnduk/nguyen-anh-duc-random-forest-classifier", "kernel_id": "59669772"}, {"ref": "ahnduk/nguyen-anh-duc-decision-tree", "kernel_id": "59695797"}, {"ref": "ahnduk/ai-lgbm-nguyen-anh-duc", "kernel_id": "59839371"}, {"ref": "haeunkist/randomizedsearchcv-decisiontreeclassifier", "kernel_id": "59921935"}, {"ref": "donghyeokkoh/ustclass-ai-0-2424-0-hwassign", "kernel_id": "59785959"}, {"ref": "kfejiminlee/lgbm-randomized-kfejiminlee", "kernel_id": "59422344"}, {"ref": "kfejiminlee/decisiontree-randomized-kfejiminlee", "kernel_id": "59426781"}, {"ref": "kfejiminlee/randomforest-randomized-kfejiminlee", "kernel_id": "59426021"}, {"ref": "champham/ai-assignment-cqp-decisiontreeclassifier", "kernel_id": "59508862"}, {"ref": "pratyushmajumdar770/spaceship-titanic", "kernel_id": "59179166"}, {"ref": "mercury2202/lab02-randomforest", "kernel_id": "59622792"}, {"ref": "saveliybasov/spaceship-titanic", "kernel_id": "59264542"}, {"ref": "gusbcz/spaceship-titanic", "kernel_id": "59673098"}, {"ref": "yuntechimb11123055/spaceshiptitanic-models-v2", "kernel_id": "59650646"}, {"ref": "jassimmoideen/spaceship-titanic-rdrp-and-enhanced", "kernel_id": "60797940"}, {"ref": "himalayaashish/rescue-mission-2912", "kernel_id": "60428391"}, {"ref": "landonwall/interpret-lightgbm-classifier-with-shap", "kernel_id": "60382820"}, {"ref": "stpeteishii/spaceship-titanic-pycaret", "kernel_id": "60279602"}, {"ref": "hobeomlee/spaceship-titanic-score-80-99-top-100", "kernel_id": "60834707"}, {"ref": "shijilan/titanic-code-shiji", "kernel_id": "60472491"}, {"ref": "astraeajh/hyperparameter-tuning", "kernel_id": "60233184"}, {"ref": "cwww41/spaceship-version2", "kernel_id": "60070999"}, {"ref": "suhithayalamanchili/spaceship-titanic-1", "kernel_id": "60551223"}, {"ref": "gyogyocat/baseline-gbm", "kernel_id": "60566786"}, {"ref": "umerrtx/eda-feature-eng-adaboost-accuracy-81-6", "kernel_id": "60825375"}, {"ref": "emadmakhlouf/voice-log-0011-intern-s-diary", "kernel_id": "60524767"}, {"ref": "simfour/spaceship-first-submission", "kernel_id": "60985341"}, {"ref": "cowslow/2024-kasi-1-assignment", "kernel_id": "60166494"}, {"ref": "trondataana/spaceship-transportation-prediction-sklearn", "kernel_id": "60520288"}, {"ref": "architojha1/spaceship-titanic-using-rf-lgbm-model", "kernel_id": "60583556"}, {"ref": "tacticularcancer/spaceship-titanic", "kernel_id": "60296716"}, {"ref": "sojibbhattacharjee/titanic-spaceship", "kernel_id": "60243394"}, {"ref": "chahyunwoo/assignment-gridsearch-cv-02421081", "kernel_id": "60116478"}, {"ref": "chahyunwoo/assignment-decisiontreeclassifier-02421081", "kernel_id": "60120937"}, {"ref": "chahyunwoo/assignment-random-forest-02421081", "kernel_id": "60125248"}, {"ref": "chahyunwoo/assignment-lgbmclassifier-02421081", "kernel_id": "60127989"}, {"ref": "parassaini123/parassaini-randomforest", "kernel_id": "60310424"}, {"ref": "nisansals/chandi-s-assignment", "kernel_id": "60117776"}, {"ref": "leejinhokriso/randomforestclassifier-randomizedsearchcv-final", "kernel_id": "60044799"}, {"ref": "leejinhokriso/decisiontreeclassifier-randomizedsearchcv-final", "kernel_id": "60045525"}, {"ref": "leejinhokriso/lgbmclassifier-randomizedsearchcv-final", "kernel_id": "60045764"}, {"ref": "hcrystal/assignment-hsj", "kernel_id": "60066413"}, {"ref": "sojeongjeon/hyperparameter-tuning", "kernel_id": "60198387"}, {"ref": "leehaeunkfri/20240618-hyperparameter-tunning-assingment-lhe", "kernel_id": "60232041"}, {"ref": "nargizaodilova/nargiza-odilova-randomforestclassifier", "kernel_id": "60116042"}, {"ref": "nargizaodilova/nargiza-odilova-lgbmclassifier", "kernel_id": "60121183"}, {"ref": "nargizaodilova/nargiza-odilova-decision-tree", "kernel_id": "60113033"}, {"ref": "jaebeomkang/assignment-hyperparameter-decisiontreeclassfier", "kernel_id": "60110050"}, {"ref": "jaebeomkang/assignment-hyperparameter-randomforestclassifier", "kernel_id": "60142364"}, {"ref": "jaebeomkang/assignment-hyperparameter-lgbmclassifier", "kernel_id": "60177657"}, {"ref": "belllll0/assignment01-02421002", "kernel_id": "60227535"}, {"ref": "umirovabdilaziz/abdulaziz-decision-tree", "kernel_id": "60240951"}, {"ref": "umirovabdilaziz/abdulaziz-randomforest", "kernel_id": "60241338"}, {"ref": "haeunkist/randomforestclassifier", "kernel_id": "60068258"}, {"ref": "haeunkist/lgbmclassifier", "kernel_id": "60071998"}, {"ref": "sleepkim/assignment-hyperparameter", "kernel_id": "60112762"}, {"ref": "yunsuphwang/spaceship-titanic-submission", "kernel_id": "60206620"}, {"ref": "taeyoungkwon123/20240616-ai-assignment", "kernel_id": "60138108"}, {"ref": "taeyoungkwon123/aiclass-01", "kernel_id": "60142501"}, {"ref": "taeyoungkwon123/aiclass-03", "kernel_id": "60146707"}, {"ref": "taeyoungkwon123/aiclass-02", "kernel_id": "60146636"}, {"ref": "taeyoungkwon123/2024-ai-assignment", "kernel_id": "60058598"}, {"ref": "champham/assignment-cqp-rfc", "kernel_id": "60199470"}, {"ref": "champham/assignment-cqp-lgbm", "kernel_id": "60228934"}, {"ref": "abdallahahmed400/spaceship-classification", "kernel_id": "60154927"}, {"ref": "venkatareddynaru/notebook37cf7a8cd6", "kernel_id": "60520561"}, {"ref": "amarnathdasari/notebookb85a70f8bc", "kernel_id": "60253464"}, {"ref": "irfanmohammadshaik/assign-2-group", "kernel_id": "60550555"}, {"ref": "asaripa3/random-forest-for-sp-titanic", "kernel_id": "60821844"}, {"ref": "asaripa3/sp-titanic-rescue", "kernel_id": "60757777"}, {"ref": "kumaravankayala/assign-2-group", "kernel_id": "60528746"}, {"ref": "javeedshaik1221/assign-2-group", "kernel_id": "60550952"}, {"ref": "rojaeslavath/spaceship-titanic-assignment", "kernel_id": "60440704"}, {"ref": "rojaeslavath/testing", "kernel_id": "60167658"}, {"ref": "roshik666/notebookc1ca3d8730", "kernel_id": "60105298"}, {"ref": "harshkhetan260/random-forest-harsh", "kernel_id": "60680368"}, {"ref": "harshkhetan260/logistic-regression-harsh", "kernel_id": "60581012"}, {"ref": "saivardhanreddy1/feature-engineers", "kernel_id": "60079359"}, {"ref": "minnip/spaceship-titanic-multi-model", "kernel_id": "60528456"}, {"ref": "yamikaratnakadiyala/spaceship", "kernel_id": "60374135"}, {"ref": "us0826/kadai", "kernel_id": "60737356"}, {"ref": "stpeteishii/space-titanic-pca-multiplemodels", "kernel_id": "61305579"}, {"ref": "kryusufkaya/titanic", "kernel_id": "61770049"}, {"ref": "jatinag/titanic-with-knn-imputation", "kernel_id": "61415269"}, {"ref": "jatinag/titanic-with-gender-classification", "kernel_id": "61222961"}, {"ref": "alisterluiz/spaceship-titanic-solution-with-optuna", "kernel_id": "61543655"}, {"ref": "liamdavies1/space-titanic-using-llm-enhanced-feature-embedding", "kernel_id": "61977459"}, {"ref": "zhangcm123/spaceship-titanic-zcm", "kernel_id": "61120340"}, {"ref": "askingque/predicting-spaceship-titanic", "kernel_id": "61315876"}, {"ref": "xxzxzxxz/abducted", "kernel_id": "61455196"}, {"ref": "ferventfrost/space-titanic-eda-advanced-feature-engineering", "kernel_id": "61559894"}, {"ref": "sugurutsujioka/spaceship-titanic", "kernel_id": "61413255"}, {"ref": "abdelazizsami/predicting-alternate-dimension-transportation", "kernel_id": "61987655"}, {"ref": "dipaleechauhan/spaceship", "kernel_id": "61763359"}, {"ref": "johnmelling/titanic-in-space-model-building", "kernel_id": "61310096"}, {"ref": "hadiehh/spaceshiptitaniccode", "kernel_id": "61877070"}, {"ref": "ayumifujii/spaceship-titanic-v0-2-lightgbm", "kernel_id": "61995347"}, {"ref": "samiul2172/spaceship-titanic", "kernel_id": "61056980"}, {"ref": "canserdar/spaceship-titanic", "kernel_id": "61820354"}, {"ref": "kaoruyokobori/space-titanic", "kernel_id": "61581033"}, {"ref": "electroknight/spaceship-titanic-xgb", "kernel_id": "61656523"}, {"ref": "ycsstang/spaceship-titanic-with-gbc", "kernel_id": "61586825"}, {"ref": "bensonlin0731/this-is-my-try", "kernel_id": "61012178"}, {"ref": "hanyakov/hanya-khaled-v1", "kernel_id": "61980969"}, {"ref": "lordvoldemortt/abducted", "kernel_id": "61253805"}, {"ref": "profodonnell/artificial-nueral-network", "kernel_id": "61075780"}, {"ref": "sidex18/my-first-neural-net", "kernel_id": "61471744"}, {"ref": "tanyapuqw/spaceship-titanic", "kernel_id": "61874509"}, {"ref": "chagallamusinde/spaceship-titanic", "kernel_id": "61538151"}, {"ref": "realbensonboone/kaggle-newbie-xgbclassifer-optuna", "kernel_id": "61000058"}, {"ref": "alisj3/fastai-lesson-6a2-random-forests", "kernel_id": "61957999"}, {"ref": "olehdiakov/spaceship-titanic", "kernel_id": "61411683"}, {"ref": "mrokind/notebook7e3", "kernel_id": "61902139"}, {"ref": "jlunax4300/notebook61611a8f0d", "kernel_id": "61581590"}, {"ref": "jasonman14/fastai-lesson-6a-random-forests", "kernel_id": "61774252"}, {"ref": "jasonman14/fastai-lesson-6a-random-forests-5e1a30", "kernel_id": "61775011"}, {"ref": "harshkhetan260/random-forest-grid-search-harsh", "kernel_id": "61800981"}, {"ref": "harshkhetan260/lr-grid-search-harsh", "kernel_id": "61800768"}, {"ref": "nvmsf7/spaced-titanic", "kernel_id": "61594719"}, {"ref": "yusuketomoyasu/notebook59155b3e64", "kernel_id": "61464143"}, {"ref": "sakana357/spaceships-titanic1", "kernel_id": "61323363"}, {"ref": "nicolasdefebrer/spaceshiptitanic", "kernel_id": "61556812"}, {"ref": "tsutsuikeiko/notebook09657408dd", "kernel_id": "61581881"}, {"ref": "eights/notebookc973fd2dd2", "kernel_id": "61581468"}, {"ref": "tokudaiwataridori/notebook2cd4a9f464", "kernel_id": "61581478"}, {"ref": "iaomizuhara/notebook19", "kernel_id": "61581674"}, {"ref": "xiaohanke/spaceship-titanic-zcm-ipynb", "kernel_id": "61522931"}, {"ref": "piro0127/notebook-spaceship-titanic", "kernel_id": "61581465"}, {"ref": "torowang0809/spaceship", "kernel_id": "61582742"}, {"ref": "ahmedgaitani/spaceship-titanic-code", "kernel_id": "61492071"}, {"ref": "toshiya77/spaceship-titanic", "kernel_id": "61580244"}, {"ref": "iwaiyukito/spaceship-titanic", "kernel_id": "61581541"}, {"ref": "lcjywg/notebook4bb0d34ec5", "kernel_id": "61586467"}, {"ref": "muratakatsuma/notebook3212b41eab", "kernel_id": "61969142"}, {"ref": "itokunihide/notebookf512f4cf5d", "kernel_id": "61582098"}, {"ref": "leonard08/notebook08198bcb24", "kernel_id": "61582030"}, {"ref": "taishimaru/notebook-datascience", "kernel_id": "61581487"}, {"ref": "kajiyasu/notebook9d7b284fa9", "kernel_id": "61578959"}, {"ref": "us0826/testcode", "kernel_id": "61581516"}, {"ref": "koyukitoyoshima/notebook3ea0ecdcf5", "kernel_id": "61980486"}, {"ref": "ciphis/data-science", "kernel_id": "61114900"}, {"ref": "yasu1225/notebook32c1c69161", "kernel_id": "61763386"}, {"ref": "smiyoshi/0712-miyoshi", "kernel_id": "61983037"}, {"ref": "konishi36/notebook8c72282f2a", "kernel_id": "61581511"}, {"ref": "shumawakazuki/spaceship-titanic", "kernel_id": "61879166"}, {"ref": "cocoro626/notebook63bd2f77f2", "kernel_id": "61926821"}, {"ref": "kogayui/spaceship-titanic", "kernel_id": "61582318"}, {"ref": "ryusei000001/spaceships-titanic-latest-ryusei", "kernel_id": "61708392"}, {"ref": "matsubarayuto/spaceships-titanic1-538007", "kernel_id": "61749027"}, {"ref": "matsubarayuto/spaceship-titanic", "kernel_id": "61582420"}, {"ref": "lonpep/notebook-g3-1", "kernel_id": "61583546"}, {"ref": "honmaguro/notebook51806a9ccf", "kernel_id": "61581708"}, {"ref": "hn0412/spaceships-titanic1", "kernel_id": "61582450"}, {"ref": "kosukeokamoto/notebook73e2fbc93b", "kernel_id": "61582095"}, {"ref": "toshiru/notebookc4b75069d4", "kernel_id": "61582634"}, {"ref": "kotaonishi1/team5-spaceshiptitanic", "kernel_id": "61583315"}, {"ref": "timita0228/20240705-11", "kernel_id": "61581672"}, {"ref": "grozny04/notebook0726", "kernel_id": "61582965"}, {"ref": "hikari0924/test-spaceship", "kernel_id": "61164801"}, {"ref": "lab1dollar/spaceship-titanic-with-tfdf", "kernel_id": "61324597"}, {"ref": "lab1dollar/solving-tabular-problems-with-autogluon", "kernel_id": "61757980"}, {"ref": "emphymachine/lx-semicon-2-matplotlib-and-seaborn", "kernel_id": "62521413"}, {"ref": "wajahat1064/visual-and-detailed-eda-on-spaceship-titanic", "kernel_id": "62979944"}, {"ref": "tamnguyen1601/spaceship-titanic-w-pipeline-logistic-regression", "kernel_id": "62380598"}, {"ref": "roycejamesblackbourn/fastai-lesson-6a-random-forests", "kernel_id": "62677644"}, {"ref": "ymkodit/lxs-hw", "kernel_id": "62729655"}, {"ref": "keerthana2002/prac7-task1-fastai-lesson-6a-random-forests", "kernel_id": "62468746"}, {"ref": "zhangcm123/fork-of-spaceship-titanic-zcm", "kernel_id": "62011286"}, {"ref": "kushprakhar/titanic-lightgbm", "kernel_id": "62282586"}, {"ref": "log1c3232/neural-net-from-scratch", "kernel_id": "62078276"}, {"ref": "log1c3232/using-fast-ai", "kernel_id": "62137523"}, {"ref": "firazztrk/spaceship-titanic", "kernel_id": "62685019"}, {"ref": "kirubasornamoorthy/fastai-lesson-6a-random-forests", "kernel_id": "62517030"}, {"ref": "kirubasornamoorthy/notebook306bbf992e", "kernel_id": "62575421"}, {"ref": "lindolfocavalcanti/spaceship-kaggle-best-score-0-79682", "kernel_id": "62417773"}, {"ref": "bhartidongre/spaceship-titanic", "kernel_id": "62443095"}, {"ref": "kameshrasu/titanic-spaceship", "kernel_id": "62825882"}, {"ref": "teranekerimova/eda-visualizations", "kernel_id": "62759889"}, {"ref": "karthikreddy0101/spaceship-titanic", "kernel_id": "62207333"}, {"ref": "anthonybokor/fastai-lesson-6a-random-forests", "kernel_id": "62507639"}, {"ref": "ethanwaters/spaceship-titanic-fastai-lesson-6a-random-forests", "kernel_id": "62172553"}, {"ref": "kunrittyhe/spaceship-titanic-competition", "kernel_id": "62862796"}, {"ref": "trijeetbhandula/fastai-lesson-6a-random-forests", "kernel_id": "62252894"}, {"ref": "trijeetbhandula/fastai-lesson-6b-random-forests", "kernel_id": "62518664"}, {"ref": "misonghua/fastai-lesson-6a-random-forests", "kernel_id": "62508167"}, {"ref": "misonghua/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62508303"}, {"ref": "adityarai12/spaceship-titanic-xgboost", "kernel_id": "62447865"}, {"ref": "jedrzejgrabala/spacetitanicfirstattempt", "kernel_id": "62650262"}, {"ref": "pakutiini/gemini1-5p-space", "kernel_id": "62680202"}, {"ref": "beyzaerdogan/titanic", "kernel_id": "62683449"}, {"ref": "mukshitchawla/fastai-lesson-6a-random-forests", "kernel_id": "62382705"}, {"ref": "pudolive/prac7-task2", "kernel_id": "62509285"}, {"ref": "pudolive/prac7-task1", "kernel_id": "62508922"}, {"ref": "chiragverma1/fastai-lesson-6b-spaceship-titanic", "kernel_id": "62386847"}, {"ref": "chiragverma1/fastai-lesson-6a-random-forests", "kernel_id": "62383294"}, {"ref": "praiserudairo/fastai-lesson-6a-random-forests", "kernel_id": "62385520"}, {"ref": "annatar1987/spaceship-titanic", "kernel_id": "62809410"}, {"ref": "vladlena321/spaceship-titanic-with-tfdf", "kernel_id": "62902130"}, {"ref": "arkar1022/fastai-lesson-6a-random-forests", "kernel_id": "62385388"}, {"ref": "arkar1022/fastai-lesson-6a-random-forests-task-2", "kernel_id": "62385859"}, {"ref": "estellewwww/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62385808"}, {"ref": "estellewwww/fastai-lesson-6a-random-forests", "kernel_id": "62385020"}, {"ref": "marukiiroha/fastai-lesson-6a-random-forests", "kernel_id": "62385260"}, {"ref": "marukiiroha/fastai-lesson-6a-random-forests-bae35f", "kernel_id": "62385389"}, {"ref": "huskydawg/task1-fastai-lesson-6a-random-forests", "kernel_id": "62199081"}, {"ref": "huskydawg/task2-fastai-lesson-6a-random-forests", "kernel_id": "62200036"}, {"ref": "alicemtopcu/space-ship-titanic-competition", "kernel_id": "62280743"}, {"ref": "fongsiuman/fastai-lesson-6a-random-forests-task2", "kernel_id": "62382592"}, {"ref": "ssyyhh/eda-of-spaceship-titanic-with-prediction-mae-0-54", "kernel_id": "62751427"}, {"ref": "dillontimmer/spaceship-titanic", "kernel_id": "62171592"}, {"ref": "khaledalrashidi1/spaceship-titanic-top-1", "kernel_id": "62504573"}, {"ref": "debankumarsahu/spaceship-titanic", "kernel_id": "62628931"}, {"ref": "lqy231/fastai-lesson-6a-random-forests", "kernel_id": "62203894"}, {"ref": "lqy231/task2", "kernel_id": "62204062"}, {"ref": "calebtownsend01/fastai-lesson-6a-random-forests", "kernel_id": "62473378"}, {"ref": "calebtownsend01/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62473521"}, {"ref": "billydomanti/fastai-lesson-6a-random-forests", "kernel_id": "62582719"}, {"ref": "billydomanti/spaceship-titanic-with-tfdf", "kernel_id": "62632025"}, {"ref": "wesleygilsenan/fastai-lesson-6a-random-forests", "kernel_id": "62175392"}, {"ref": "piyushverma1701/fastai-lesson-6a-random-forests", "kernel_id": "62614345"}, {"ref": "lachlanholmes/fastai-lesson-6a-random-forests", "kernel_id": "62248909"}, {"ref": "lachlanholmes/fork-of-fastai-lesson-6b-spaceshiptitanic", "kernel_id": "62254399"}, {"ref": "hexonhartleyjimenez/prac07-task2-fastai-lesson-6a-random-forests", "kernel_id": "62498872"}, {"ref": "hexonhartleyjimenez/fastai-lesson-6a-random-forests", "kernel_id": "62157458"}, {"ref": "garvitmalik2121/fastai-lesson-6a-random-forests", "kernel_id": "62383143"}, {"ref": "katlynwhyte/notebook945ba7dcfb", "kernel_id": "62179894"}, {"ref": "katlynwhyte/fastai-lesson-6a-random-forests", "kernel_id": "62175673"}, {"ref": "melvinalasia/cp3501-prac7-task2", "kernel_id": "62526198"}, {"ref": "melvinalasia/fastai-lesson-6a-random-forests", "kernel_id": "62180367"}, {"ref": "nicklausmathias/space-titanic-prediction", "kernel_id": "62354430"}, {"ref": "caelsalmond/fastai-lesson-6a-random-forests-task2", "kernel_id": "62256673"}, {"ref": "caelsalmond/fastai-lesson-6a-random-forests", "kernel_id": "62254960"}, {"ref": "muhammadirfansajid/titanicspaceship-ds-project", "kernel_id": "62960300"}, {"ref": "shivaunb/fastai-lesson-6a-random-forests", "kernel_id": "62253457"}, {"ref": "shivaunb/task-2-spaceship-titanic", "kernel_id": "62255737"}, {"ref": "xanderdinocaubat/fastai-lesson-6a-random-forests", "kernel_id": "62253648"}, {"ref": "xanderdinocaubat/fastai-lesson-6a-task-2-spacetitanic", "kernel_id": "62513497"}, {"ref": "ricemaster/spaceship-titanic-comp-0-80617-top-250", "kernel_id": "62664284"}, {"ref": "toms0o/fastai-lesson-6a-random-forests", "kernel_id": "62254286"}, {"ref": "qasimhaseeb/space-titanic-0-7998-svc-lr-lightbgm", "kernel_id": "62653711"}, {"ref": "tirtharajkarmakar/titanic-notebook", "kernel_id": "62496080"}, {"ref": "chiehyuchenjames/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62521471"}, {"ref": "chiehyuchenjames/fastai-lesson-6a-random-forests", "kernel_id": "62521072"}, {"ref": "kwokchunyik/fastai-lesson-6a-random-forests", "kernel_id": "62189587"}, {"ref": "kwokchunyik/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62205258"}, {"ref": "eithinzarphyo/fastai-lesson-6a-random-forests", "kernel_id": "62203703"}, {"ref": "tensaiki/fastai-lesson-6a-random-forests-copy", "kernel_id": "62533012"}, {"ref": "tensaiki/fastai-lesson-6a-random-forests", "kernel_id": "62531983"}, {"ref": "wilsonvall/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62208057"}, {"ref": "wilsonvall/fastai-lesson-6a-random-forests", "kernel_id": "62203581"}, {"ref": "guomike/fastai-lesson-6a-random-forests-2-task", "kernel_id": "62386230"}, {"ref": "guomike/fastai-lesson-6a-random-forests", "kernel_id": "62385416"}, {"ref": "linhhoacao/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62207339"}, {"ref": "linhhoacao/fastai-lesson-6a-random-forests", "kernel_id": "62205793"}, {"ref": "stevendebondi/fastai-lesson-6a-random-forests", "kernel_id": "62523392"}, {"ref": "stevendebondi/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62523471"}, {"ref": "battlescythe300/prac7-part2", "kernel_id": "62469747"}, {"ref": "battlescythe300/fastai-lesson-6a-random-forests", "kernel_id": "62203745"}, {"ref": "scrapbeaver/fastai-lesson-6a-random-forests-bae35", "kernel_id": "62526333"}, {"ref": "scrapbeaver/fastai-lesson-6a-random-forests", "kernel_id": "62385501"}, {"ref": "venkateshblks/spaceship", "kernel_id": "62287549"}, {"ref": "ranasmaali/spaceship-titanic", "kernel_id": "62100797"}, {"ref": "hongfeiqi/fastai-lesson-6a-random-forests", "kernel_id": "62383323"}, {"ref": "hongfeiqi/spaceship-titanic", "kernel_id": "62533952"}, {"ref": "zhouhanwei/fastai-lesson-6a-random-forests", "kernel_id": "62193720"}, {"ref": "zhouhanwei/fastai-lesson-6a-random-forests-8da835", "kernel_id": "62205007"}, {"ref": "tombernado/spaceship-titanic", "kernel_id": "62437223"}, {"ref": "waterdrinker/fastai-lesson-6a-random-forests-modified-for-space", "kernel_id": "62128968"}, {"ref": "yufeizhao04/cp3501-w7-task1", "kernel_id": "62530690"}, {"ref": "yufeizhao04/cp3501-w7-task2", "kernel_id": "62152066"}, {"ref": "yufeizhao04/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62204994"}, {"ref": "talithariddiford/fork-of-prac7-fastai-lesson-6a-random-forests", "kernel_id": "62438809"}, {"ref": "hayleeturk/fastai-lesson-6a-random-forests", "kernel_id": "62478739"}, {"ref": "hayleeturk/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62532990"}, {"ref": "danielcsutton/spaceship-titanic-xgboost-acceleration", "kernel_id": "62089211"}, {"ref": "coreygrainger/cp3501-spaceship-titanic", "kernel_id": "62179741"}, {"ref": "coreygrainger/fastai-lesson-6a-random-forests-titanic", "kernel_id": "62175636"}, {"ref": "alan112114/fastai-lesson-6a-random-forests-4261f9", "kernel_id": "62486050"}, {"ref": "daynemorris/spaceship-titanic-doc", "kernel_id": "62485869"}, {"ref": "daynemorris/fastai-lesson-6a-random-forests-ca4e6a", "kernel_id": "62485252"}, {"ref": "jacksonjcu/fastai-lesson-6a-random-forests", "kernel_id": "62472354"}, {"ref": "jacksonjcu/fastai-lesson-6a-random-forests-28bb9a", "kernel_id": "62472582"}, {"ref": "sethgersbach/notebook58cc17011c", "kernel_id": "62582593"}, {"ref": "joyaljoyjj/fastai-lesson-6a-random-forests", "kernel_id": "62526963"}, {"ref": "joyaljoyjj/fork-of-fastai-lesson-6a-random-forests-1ed359", "kernel_id": "62533514"}, {"ref": "joyaljoyjj/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62527522"}, {"ref": "joyaljoyjj/fork-of-fastai-lesson-6a-random-forests-9878e1", "kernel_id": "62529521"}, {"ref": "jkaiteo/prac-7-task-2", "kernel_id": "62204985"}, {"ref": "jkaiteo/prac-7-task-1", "kernel_id": "62201305"}, {"ref": "vihoa02/fastai-lesson-6a-random-forests", "kernel_id": "62204520"}, {"ref": "vihoa02/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62206290"}, {"ref": "ralphishere/fastai-lesson-6a-random-forests-2", "kernel_id": "62206498"}, {"ref": "ralphishere/fastai-lesson-6a-random-forests-ralph", "kernel_id": "62203695"}, {"ref": "zhoujiejcu/fastai-lesson-6a-random-forests-task1", "kernel_id": "62201170"}, {"ref": "zhoujiejcu/fastai-lesson-6a-random-forests-task2", "kernel_id": "62207628"}, {"ref": "zhoujiejcu/fork-of-fastai-lesson-7b-random-forests-task2", "kernel_id": "62206456"}, {"ref": "tin555/fastai-lesson-6a-spaceship-titanic", "kernel_id": "62385534"}, {"ref": "tin555/fastai-lesson-6a-random-forests", "kernel_id": "62385132"}, {"ref": "dianabukeikhanova/fastai-lesson-6a-random-forest-task2", "kernel_id": "62353944"}, {"ref": "dianabukeikhanova/fastai-lesson-6a-random-forests", "kernel_id": "62352153"}, {"ref": "tharhtetdennis/fastai-lesson-6a-random-forests", "kernel_id": "62385196"}, {"ref": "tharhtetdennis/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62385506"}, {"ref": "nawmaythuhan/task-2-of-fastai-lesson-6a-random-forests", "kernel_id": "62383374"}, {"ref": "nawmaythuhan/fastai-lesson-6a-random-forests", "kernel_id": "62382652"}, {"ref": "caoshaungli/task-2-spaceship-titanic", "kernel_id": "62198652"}, {"ref": "caoshaungli/fastai-lesson-6a-random-forests", "kernel_id": "62197535"}, {"ref": "diyuyang0929/fastai-lesson-6a-random-forests-diyuyang", "kernel_id": "62387505"}, {"ref": "baolinhvan/fork-of-fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62205017"}, {"ref": "baolinhvan/fastai-lesson-6a-random-forests", "kernel_id": "62197391"}, {"ref": "baolinhvan/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62200712"}, {"ref": "tuandn97/fastai-lesson-6a-random-forests-93b2c9", "kernel_id": "62204579"}, {"ref": "tuandn97/fastai-lesson-6a-random-forests", "kernel_id": "62204083"}, {"ref": "christianmadria/how-random-forests-really-work", "kernel_id": "62521118"}, {"ref": "jasonelmerborisman/fastai-lesson-6a-random-forests-df2004", "kernel_id": "62218848"}, {"ref": "jasonelmerborisman/fastai-lesson-6a-random-forests", "kernel_id": "62205074"}, {"ref": "voctorianora/fastai-lesson-6a-random-forests", "kernel_id": "62203675"}, {"ref": "voctorianora/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62203837"}, {"ref": "kuangziye/prac-7-task-2", "kernel_id": "62386169"}, {"ref": "kuangziye/prac-7-task1", "kernel_id": "62385621"}, {"ref": "patricksssstar/fastai-lesson-6a-random-forests", "kernel_id": "62385775"}, {"ref": "patricksssstar/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62386659"}, {"ref": "norairtarasov/fastai-lesson-6a-random-forests", "kernel_id": "62483247"}, {"ref": "daviduy/fastai-lesson-6a-random-forests", "kernel_id": "62256065"}, {"ref": "daviduy/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62532704"}, {"ref": "aubienethompson/fastai-lesson-6a-random-forests", "kernel_id": "62529895"}, {"ref": "nangkaungshankham/fastai-lesson-6a-random-forests", "kernel_id": "62566180"}, {"ref": "jiehanli/fastai-lesson-6a-random-forests", "kernel_id": "62387242"}, {"ref": "liangzc321/fastai-lesson-6a-random-forests", "kernel_id": "62504236"}, {"ref": "lupan71/fastai-lesson-6a-random-forests", "kernel_id": "62385723"}, {"ref": "zhonghao666/fastai-lesson-6a-random-forests-jiangzhonghao", "kernel_id": "62387546"}, {"ref": "jiaxuanliu33/fastai-lesson-6a-random-forests-task-2", "kernel_id": "62387134"}, {"ref": "jiaxuanliu33/fastai-lesson-6a-random-forests", "kernel_id": "62385503"}, {"ref": "andrejonathan/task-2-fastai-lesson-6a-random-forests", "kernel_id": "62386988"}, {"ref": "andrejonathan/fastai-lesson-6a-random-forests", "kernel_id": "62385461"}, {"ref": "lzpxenon/fastai-lesson-6a-random-forests", "kernel_id": "62386933"}, {"ref": "jaskiratbatth/fastai-lesson-6a-random-forests", "kernel_id": "62382872"}, {"ref": "harshdeepkaur08/fastai-lesson-6a-random-forests", "kernel_id": "62382908"}, {"ref": "shauntrinh/fork-of-fastai-lesson-6a-random-forests-2", "kernel_id": "62207002"}, {"ref": "shauntrinh/fastai-lesson-6a-random-forests", "kernel_id": "62204137"}, {"ref": "amyzhongyq/fastai-lesson-6a-random-forests", "kernel_id": "62181747"}, {"ref": "amyzhongyq/spacetitanic-random-forests", "kernel_id": "62473775"}, {"ref": "omeyehillaryo/fork-of-fastai-lesson-6a-spaceship-titanic-dataset", "kernel_id": "62203751"}, {"ref": "omeyehillaryo/fastai-lesson-6a-random-forests", "kernel_id": "62203271"}, {"ref": "pranitpandeykaggle/task2-fastai-lesson-6a-random-forests", "kernel_id": "62837609"}, {"ref": "pranitpandeykaggle/fastai-lesson-6a-random-forests", "kernel_id": "62806036"}, {"ref": "khantzayyar20/fastai-lesson-6a-random-forests", "kernel_id": "62527046"}, {"ref": "maivang/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "62478748"}, {"ref": "maivang/fastai-lesson-6a-random-forests", "kernel_id": "62476590"}, {"ref": "jiemolv/fastai-lesson-6a-random-forests-zhangyiwen", "kernel_id": "62385243"}, {"ref": "johnsbijoy/fastai-lesson-6a-random-forests", "kernel_id": "62611379"}, {"ref": "nyanlinhtut/fastai-lesson-6a-random-forests", "kernel_id": "62531101"}, {"ref": "nyanlinhtut/starting-spaceship-titanic-modification", "kernel_id": "62532331"}, {"ref": "jackcox343/fastai-lesson-6a-random-forests", "kernel_id": "62523217"}, {"ref": "umairhayat/spaceship-titanic", "kernel_id": "62754350"}, {"ref": "mriojanto/notebookc82ed823e3", "kernel_id": "62610072"}, {"ref": "deamariaroys/fastai-lesson-6a-random-forests", "kernel_id": "62260849"}, {"ref": "tomoyafujihara/spaceship-titanic-2", "kernel_id": "62004496"}, {"ref": "yungus/notebook280606b1fe", "kernel_id": "62006363"}, {"ref": "okushinnosuke/notebookspaceshiptitanic", "kernel_id": "62012180"}, {"ref": "yakinikuteishoku/notebookba1239a7b0", "kernel_id": "62800730"}, {"ref": "nooryu2/notebook90e614141a", "kernel_id": "62707755"}, {"ref": "iaomizuhara/space-titanic", "kernel_id": "62803618"}, {"ref": "inaikairi/notebook-g3-1-ee43ae", "kernel_id": "62757129"}, {"ref": "yusukehorita/space-titanic", "kernel_id": "62436012"}, {"ref": "okit33/notebook73429dca86", "kernel_id": "62801583"}, {"ref": "ssskkr/notebook85aa335cd6", "kernel_id": "62624833"}, {"ref": "shimatakahiro/notebookdebc077dd1", "kernel_id": "62701610"}, {"ref": "soraogawa/notebooke9989aefcb", "kernel_id": "62800806"}, {"ref": "lcjywg/notebook59155b3e64", "kernel_id": "62801358"}, {"ref": "lcjywg/notebook3398841bd5", "kernel_id": "62813441"}, {"ref": "naginagi7/spaceship-titanic-2", "kernel_id": "62434663"}, {"ref": "leonard08/notebookf512f4cf5d-35c738", "kernel_id": "62801938"}, {"ref": "ken0124/space-titanic", "kernel_id": "62014444"}, {"ref": "us0826/spaceship-titanic", "kernel_id": "62006433"}, {"ref": "okatora/spaceship-titanic-2", "kernel_id": "62434608"}, {"ref": "ss2024sub/notebook-spaceship-titanic", "kernel_id": "62437324"}, {"ref": "ciphis/data-science-share", "kernel_id": "62439500"}, {"ref": "tkmaya/notebookcdcf0639d6", "kernel_id": "62691999"}, {"ref": "kosuke0613/notebookf512f4cf5d-35c738", "kernel_id": "62434823"}, {"ref": "kosuke0613/notebookf512f4cf5d", "kernel_id": "62009707"}, {"ref": "medo08/notebook84da042d50", "kernel_id": "62702991"}, {"ref": "kiguchi82/data-science-share", "kernel_id": "62796710"}, {"ref": "kogayui/spaceshiptitanic-koga", "kernel_id": "62679302"}, {"ref": "kogayui/spaceshiptitanic-not", "kernel_id": "62443358"}, {"ref": "shibatayume/notebookc32f23cba9", "kernel_id": "62435523"}, {"ref": "sekimen/notebookdf55ea9291", "kernel_id": "62690100"}, {"ref": "ryusei000001/spaceships-titanic-last-ryusei", "kernel_id": "62645692"}, {"ref": "ryota86/notebook280606b1fe-f2c936", "kernel_id": "62760631"}, {"ref": "shiou100/spaceships-titanic1-abc3d0", "kernel_id": "62730355"}, {"ref": "shiou100/spaceships-titanic-1", "kernel_id": "62732304"}, {"ref": "tatsunoshin/notebookf2b7a75f8e", "kernel_id": "62736914"}, {"ref": "tanimurashogo/spaceship-titanic-2-157198", "kernel_id": "62801479"}, {"ref": "zummba/notebookaadcd251c7", "kernel_id": "62011388"}, {"ref": "hamamotokohta/notebook8f5ae6f344", "kernel_id": "62008928"}, {"ref": "nishiotaiyo/notebook9787e88f94", "kernel_id": "62801215"}, {"ref": "nishiotaiyo/nishiotaiyo", "kernel_id": "62436891"}, {"ref": "kidotakanari/kidotakanari", "kernel_id": "62436906"}, {"ref": "kidotakanari/fork-of-kidotakanari", "kernel_id": "62437157"}, {"ref": "kidotakanari/notebook6028d970e4", "kernel_id": "62803242"}, {"ref": "khryske/notebookfe9a4111e7", "kernel_id": "62794013"}, {"ref": "oguiso1108/space-titanic", "kernel_id": "62436701"}, {"ref": "hn0412/spaceships-titanic-last-h-nihimura", "kernel_id": "62690766"}, {"ref": "vortis/notebookc6312a21d1", "kernel_id": "62802130"}, {"ref": "kosukeokamoto/spaceshiptitanic-kosukeokamoto", "kernel_id": "62434540"}, {"ref": "kotaonishi1/team5-onishikota", "kernel_id": "62678419"}, {"ref": "shintaroshiokawa/spaceship-titanic-zcm-ipynb", "kernel_id": "62009907"}, {"ref": "komuratakuto/komura-takuto-spaceshiptitanic", "kernel_id": "62434523"}, {"ref": "yoshirikuto/notebookdb0647fd36", "kernel_id": "62626128"}, {"ref": "naoyanakayama/notebookc515431d43", "kernel_id": "62012078"}, {"ref": "furutanobuhisa/notebookd919be50b7", "kernel_id": "62782014"}, {"ref": "mabdullahabrar/spaceship-titanic", "kernel_id": "62335060"}, {"ref": "haruniimi/notebookc970bbbae9", "kernel_id": "62628840"}, {"ref": "semehmetcelebi/titanic", "kernel_id": "62098720"}, {"ref": "syedzaynshah/eda-on-titanic-ship", "kernel_id": "62293207"}, {"ref": "jognkyukim/miniproject", "kernel_id": "62726916"}, {"ref": "kimurakeisuke/notebookfb65e66c8f", "kernel_id": "62625058"}, {"ref": "hbhargava2/day2-assignment2", "kernel_id": "63638193"}, {"ref": "wajahat1064/spaceship-titanic-predictions-ensembling", "kernel_id": "63533229"}, {"ref": "caferyahsi/space-t-tan-c-model-1", "kernel_id": "63423494"}, {"ref": "killajam87/spaceship-titanic-playground", "kernel_id": "63088767"}, {"ref": "dilanjanavimukthi/spaceship-titanic-01", "kernel_id": "63458765"}, {"ref": "vishnu0309/spaceship-titanic-ray-and-optuna-hyperparamete", "kernel_id": "63455817"}, {"ref": "sayidbekbakhrom/spaceship-titanic-beginner-friendly", "kernel_id": "63172814"}, {"ref": "suryanivetha/spaceship-titanic", "kernel_id": "63340146"}, {"ref": "fertmeneses/spaceship-titanic-feature-engineering", "kernel_id": "63953521"}, {"ref": "fertmeneses/spaceship-titanic-getting-familiar", "kernel_id": "63203263"}, {"ref": "phuonghanguyen/spaceship-titanic", "kernel_id": "63826090"}, {"ref": "gauravrai2000/spaceship-tatanic-com-code", "kernel_id": "63857821"}, {"ref": "sohamndeshmukh/titanic-spaceship", "kernel_id": "63665739"}, {"ref": "prathamjyotsingh/space-titanic", "kernel_id": "63844933"}, {"ref": "ancorufio/solving-spaceship-problem-eda-79-5-on-test", "kernel_id": "63406789"}, {"ref": "naveenn004/space-ship-titanic", "kernel_id": "63029200"}, {"ref": "abdelrahmanmfam/xgboost-random-forest-gradient-boost-tuning", "kernel_id": "63316024"}, {"ref": "garionrains/cp3501-week-7-prac", "kernel_id": "63068721"}, {"ref": "garionrains/fastai-lesson-6a-random-forests", "kernel_id": "63022070"}, {"ref": "marcusreul/spaceship-titanic", "kernel_id": "63573941"}, {"ref": "samarthkapoor003/spaceship-titanic-analysis", "kernel_id": "63099926"}, {"ref": "pavankumar4757/spaceship-titanic-prediction", "kernel_id": "63308478"}, {"ref": "sabhavathyashwanth/spaceship-titanic", "kernel_id": "63197838"}, {"ref": "filippogotta/spaceship-titanic-1-0", "kernel_id": "63828880"}, {"ref": "simongraversen/space-titanic-with-random-forests", "kernel_id": "63362580"}, {"ref": "simongraversen/spaceship-titanic-continuation", "kernel_id": "63717843"}, {"ref": "sagnikdebnath007/space-titanic", "kernel_id": "63298976"}, {"ref": "leandelossantos/s-titanic", "kernel_id": "63391237"}, {"ref": "kyawzawwlinnjcu/fastai-lesson-6a-random-forests", "kernel_id": "63099551"}, {"ref": "wengshenghao/fastai-lesson-6a-random-forests-wengshenghao", "kernel_id": "63003806"}, {"ref": "annazwicky/spaceship-titanic-with-tensorflow", "kernel_id": "63106470"}, {"ref": "nitinrana1504/space-ship-titanic-model", "kernel_id": "63268548"}, {"ref": "schand98/usemlp-l4", "kernel_id": "63516382"}, {"ref": "alicanpayasli01/80-competition-accuracy-score-spaceship", "kernel_id": "63546080"}, {"ref": "naderaletaywi/reusable-random-forest-in-pyspark", "kernel_id": "63592749"}, {"ref": "marwanashref/titanic-spaceship-0-79", "kernel_id": "63694133"}, {"ref": "akhilsangaonkar/spaceship-titanic-80-43-accuracy", "kernel_id": "64348798"}, {"ref": "nikhilramlukan/spaceship-titanic", "kernel_id": "64903137"}, {"ref": "jhilmilbaruah/spacetitanic-model", "kernel_id": "64284132"}, {"ref": "davinascimento/space-titanic-survival-prediction-alt-approach", "kernel_id": "64770550"}, {"ref": "davinascimento/spaceship-titanic-survival-prediction", "kernel_id": "64520617"}, {"ref": "islamnasser/97-accuracy-spaceship-titanic", "kernel_id": "64430053"}, {"ref": "rohitdas09/spaceship-titanic-competition", "kernel_id": "64452031"}, {"ref": "ravi20076/spaceshiptitanic-packages", "kernel_id": "64708632"}, {"ref": "ravi20076/spaceshiptitanic-lightautoml-v1", "kernel_id": "64708188"}, {"ref": "ravi20076/spaceshiptitanic-submission-v2", "kernel_id": "64622017"}, {"ref": "ravi20076/spaceshiptitanic-autogluon-v1", "kernel_id": "64569886"}, {"ref": "xristoforoszisis/spaceship-titanic-cleaning-prediction", "kernel_id": "64333913"}, {"ref": "lorenzy/apply-29-ml-models-eda-for-spaceship-titanic", "kernel_id": "64090148"}, {"ref": "anmatngu/spaceship-titanic-cleaned-catboost-tuning", "kernel_id": "64366535"}, {"ref": "cheekylogos/passengers-transported-predictions", "kernel_id": "64552834"}, {"ref": "takahashi1sei/space-titanic-survival-prediction-alt-approach", "kernel_id": "64797340"}, {"ref": "talhachoudary/spaceship-titanic", "kernel_id": "64249332"}, {"ref": "mohamedelsayedaffan/eda-spaceship-titanic-80-randomforest", "kernel_id": "64265182"}, {"ref": "abdmental01/spaceship-advance-feature-e", "kernel_id": "64731450"}, {"ref": "amirakhaledsoliman/spaceship-titanic", "kernel_id": "64383275"}, {"ref": "kunalaldar/space-titanic-prediction", "kernel_id": "64383775"}, {"ref": "shukantpal/spaceship-titanic-shukant-pal", "kernel_id": "64980783"}, {"ref": "thomasleumann/fastai-lesson-6a-random-forests", "kernel_id": "64246059"}, {"ref": "alaawaelmo/titanic-spaceship-classification", "kernel_id": "64969163"}, {"ref": "aryagokh/spaceship-titanic-2", "kernel_id": "64306889"}, {"ref": "lewiscross/spaceship-titanic-wip", "kernel_id": "64216756"}, {"ref": "ouside/krr-lightgbm-xgboost-spaceship", "kernel_id": "64288748"}, {"ref": "hozanbaydu/e-random-forest-prediction", "kernel_id": "64217439"}, {"ref": "bilgejinnen/oneuniverseonly", "kernel_id": "64272769"}, {"ref": "marioandreivoicu/spaceshiptitanic", "kernel_id": "64755371"}, {"ref": "yosuketomo/0827-spaceship", "kernel_id": "64797469"}, {"ref": "issacl12345/space-titanic-pred-20240827", "kernel_id": "64807941"}, {"ref": "issactoast/xgboost-with-gpu", "kernel_id": "65704927"}, {"ref": "taimour/7-models-stackingcvregressor-titanic", "kernel_id": "65031912"}, {"ref": "hscosta/sklearn-pipeline-columntransform", "kernel_id": "65365209"}, {"ref": "hung20736/spaceship-titanic-using-shallow-nn-and-ensemble", "kernel_id": "65432391"}, {"ref": "ebvjikx/spaceship-titanic", "kernel_id": "65154214"}, {"ref": "katekorotova/titanic-spaceship-full-guide-pred-0-805", "kernel_id": "65010582"}, {"ref": "raquelilarri/spaceship-titanic-prediction", "kernel_id": "65492615"}, {"ref": "egorserov/just-decisiontree", "kernel_id": "65042760"}, {"ref": "anredec/space-titanic", "kernel_id": "65339815"}, {"ref": "latypovramil/spaceship-thinking-preprocessing-modeling", "kernel_id": "65451624"}, {"ref": "sarthakmohapatra8447/notebook0a6efc59af", "kernel_id": "65838236"}, {"ref": "mahmoudelshabrawy/spaceship", "kernel_id": "65452779"}, {"ref": "vivekkmr07/spaceship-titanic", "kernel_id": "65913086"}, {"ref": "pauldunlea/notebook69bc34cbc7", "kernel_id": "65086375"}, {"ref": "alexandrelemercier/all-best-tabular-classifiers-comparative-study", "kernel_id": "65430377"}, {"ref": "shipa129/spaceship-titanic-voting-ensemble-model", "kernel_id": "65446845"}, {"ref": "mostafaelbakry7/titanic-spaceship", "kernel_id": "65552017"}, {"ref": "abdullahalbunni/spaceship-titanic-with-randomforestclassifier", "kernel_id": "65740924"}, {"ref": "firatozen/spaceship-titanic-80-56-accuracy", "kernel_id": "65548619"}, {"ref": "yussufkadir/spaceship-titanic-contest", "kernel_id": "65428840"}, {"ref": "pranaych100/spaceship-titanic-easy-to-understand-with-80-acc", "kernel_id": "65273724"}, {"ref": "imadudin/space-titanic-random-forrest-classifier", "kernel_id": "65858365"}, {"ref": "satyapradhan/notebook3aa7a850db", "kernel_id": "65703357"}, {"ref": "metinhsimimi/spaceship-titanic-eda-end-rforest", "kernel_id": "65936011"}, {"ref": "arw5902/onehotencoder-example-spaceship-titanic", "kernel_id": "65060029"}, {"ref": "samh991/c-criticism-appreciated-spaceship-titanic-v1", "kernel_id": "65492900"}, {"ref": "aranyakbanerjee007/spaceship-titanic", "kernel_id": "65490020"}, {"ref": "trietp1253201581/spaceship-titanic", "kernel_id": "65926674"}, {"ref": "hilalalpak/ml-dl-algorithms-on-space-ship-data", "kernel_id": "65962599"}, {"ref": "jennyzzhu/predicting-survivors-of-titanic-spaceship", "kernel_id": "65058300"}, {"ref": "thorieee/i-want-to-play-this-competition-with-r", "kernel_id": "65670690"}, {"ref": "zhiyouzhang/spaceship-titanic-data-observation-processing", "kernel_id": "65640160"}, {"ref": "kebeling/titan-competition-code", "kernel_id": "65641018"}, {"ref": "mephistophel2312/buckle-up", "kernel_id": "65795412"}, {"ref": "porscheliao/porsche-liao-space-tatanic", "kernel_id": "65075728"}, {"ref": "khuntidharmishtha/iml-practical-10-54", "kernel_id": "65581246"}, {"ref": "ahmedhamidaddeen/spaceship-titanic-comp", "kernel_id": "65550623"}, {"ref": "dandendalzgar/space-titanic-fe-pipeline-rscv-predictions", "kernel_id": "65220915"}, {"ref": "faisalaryan/spaceship-titanic", "kernel_id": "65373571"}, {"ref": "kemetatunharkhuf/titanic", "kernel_id": "65743813"}, {"ref": "martinmasmontiel/titanic-1209", "kernel_id": "65684341"}, {"ref": "martinmasmontiel/fork-of-titanic-1209", "kernel_id": "65708670"}, {"ref": "vascrystal/spaceship-titanic-first-attempt", "kernel_id": "65720789"}, {"ref": "abrmichael/spaceship-titanic-first-view-on-data-and-modeling", "kernel_id": "65959200"}, {"ref": "aakcay/spaceship-titanic-prediction", "kernel_id": "66870131"}, {"ref": "syborg2290/spaceship-titanic-competition", "kernel_id": "66657168"}, {"ref": "alisapetrova/spaceship-titanic-homework", "kernel_id": "66815308"}, {"ref": "sentienttrapezoid/fast-approach-to-spaceship-titanic", "kernel_id": "66665759"}, {"ref": "nikitaosovskiy/titanic", "kernel_id": "66873917"}, {"ref": "alisadaqat/spaceship-titanic-prediction", "kernel_id": "66712580"}, {"ref": "ismetsemedov/spaceship-titanic", "kernel_id": "66083252"}, {"ref": "suhailaaboubakr/spaceship-titanic", "kernel_id": "66889184"}, {"ref": "theolee72/spaceship-titanic", "kernel_id": "66659974"}, {"ref": "twobob/space-titanic-gpu", "kernel_id": "66067161"}, {"ref": "harshitpathak18/space-titanic-prediction", "kernel_id": "66483956"}, {"ref": "shreyasur965/spaceship-titanic-lgbm-79-9-accuracy", "kernel_id": "66459264"}, {"ref": "mitsuyasuhoshino/spaceship-titanic-starter-notebook-in-japanese", "kernel_id": "66734667"}, {"ref": "noeldavidking/spaceship-titanic", "kernel_id": "66500152"}, {"ref": "sciencely/vishesht", "kernel_id": "66831006"}, {"ref": "arth09/spaceship-titanic-catboost-classifier", "kernel_id": "66754798"}, {"ref": "dzmitrylabkou/spaceship-titanic-catboost", "kernel_id": "66987650"}, {"ref": "maudarnaud/project-03-spaceship-titanic", "kernel_id": "66036108"}, {"ref": "adarshsudheer/titanic-spaceship", "kernel_id": "66260755"}, {"ref": "rianaazad/spaceship1-multi-model-approach", "kernel_id": "66712490"}, {"ref": "kazloo/titanic-spaceship-random-forest-classification", "kernel_id": "66217270"}, {"ref": "limeorannge/legendspaceship", "kernel_id": "66978953"}, {"ref": "timurprokoshev/spaceship-titanic-guide-you-ll-have-top-7", "kernel_id": "66732833"}, {"ref": "lucasnelson24/spaceship-titanic-model", "kernel_id": "66588926"}, {"ref": "imthebaron/spaceship-titanic", "kernel_id": "66902968"}, {"ref": "nadzeyashastak/spaceship-titanic", "kernel_id": "66562436"}, {"ref": "saivinayakula/spaceship", "kernel_id": "66883792"}, {"ref": "abenezeralz/notebookfbcd71a126", "kernel_id": "66982803"}, {"ref": "ydywegu8hw6s/spaceship-titanic", "kernel_id": "66569737"}, {"ref": "alicanpayasli01/struggle-missing-values-tutorial", "kernel_id": "66388032"}, {"ref": "mohamedalabasy/spaceship-titanic-competition-using-h2o", "kernel_id": "66262654"}, {"ref": "mohamedalabasy/titanic-spaceship-competiton-using-pycaret", "kernel_id": "66265557"}, {"ref": "mhb757/spaceship-titanic-cleaning-engineering-modelling", "kernel_id": "66309266"}, {"ref": "abhishridhar/spaceship-titanic", "kernel_id": "66804191"}, {"ref": "bogdanhramchenkov/cosmos-titanic", "kernel_id": "66815549"}, {"ref": "gladwinpaulbiju/spaceship-titanic-notebook", "kernel_id": "66639111"}, {"ref": "rishita00/space-titanic-indepth-classification", "kernel_id": "66738750"}, {"ref": "aksanurkonuk/spaceship-titanic", "kernel_id": "66278156"}, {"ref": "ishanakarpe/spaceship-titanic-guide", "kernel_id": "66231871"}, {"ref": "davinci2003/space-titanic", "kernel_id": "66937204"}, {"ref": "mikhailbashkirov/homework-neural-network-bashkirov", "kernel_id": "66815560"}, {"ref": "rinnnnkir/spaceship", "kernel_id": "66815859"}, {"ref": "nadezhda2019/spaceship-test", "kernel_id": "67213729"}, {"ref": "nadezhda2019/fork-of-spaceship-test", "kernel_id": "67217723"}, {"ref": "noussairmighri/spaceship-titanic-features-engineering", "kernel_id": "67099312"}, {"ref": "rohithkumar3655/spaceship-titanic-multi-models", "kernel_id": "67405749"}, {"ref": "aounraza/spaceship-titanic-detailed-analysis-modeling", "kernel_id": "67565504"}, {"ref": "mitsuyasuhoshino/spaceship-titanic-dice-model", "kernel_id": "67094586"}, {"ref": "aadith0/spaceship-titanic", "kernel_id": "67216445"}, {"ref": "engineerfrabbi/notebook47997d81f7", "kernel_id": "67133993"}, {"ref": "minzai0116/vote-ensemble", "kernel_id": "67614265"}, {"ref": "aqsachaudry/spaceship-titanic-transport-prediction", "kernel_id": "67371260"}, {"ref": "jacopoferretti/spaceship-titanic-with-different-ml-models", "kernel_id": "67926376"}, {"ref": "manhdodz249/spaceship-titanic", "kernel_id": "67845576"}, {"ref": "lozarevih/spacetitanic", "kernel_id": "67026353"}, {"ref": "ullapusirisha/notebook1996d692c3", "kernel_id": "67125813"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "nvmsf7/space-titanic-for-kaggle-beginner-0-76-score", "kernel_id": "67825611"}, {"ref": "jahnavipaliwal/logistic-regression-spaceship-titanic", "kernel_id": "67854932"}, {"ref": "jim0102/spaceship-titanic", "kernel_id": "67136537"}, {"ref": "spyhop/spaceship-titanic-project", "kernel_id": "67768541"}, {"ref": "bogdanhramchenkov/cosmos-titanic-v-2", "kernel_id": "67988865"}, {"ref": "keeratichawong/lomalius01", "kernel_id": "67336073"}, {"ref": "russellyin/spaceship-titanic", "kernel_id": "67949898"}, {"ref": "rohitonkaggle/spaceship-titanic-2", "kernel_id": "68377855"}, {"ref": "marcelobatalhah/spaceship-prediction-eda-different-models", "kernel_id": "68928512"}, {"ref": "theodorostsiolakis/notebook244b07bc8e", "kernel_id": "68096948"}, {"ref": "akshitgupta146/spaceship-titanic", "kernel_id": "68467575"}, {"ref": "sathishgsmss/stacking-model-80-accuracy", "kernel_id": "68255145"}, {"ref": "geraldwambui/big-spaceship", "kernel_id": "68192490"}, {"ref": "parth2908/spaceship-titanic-compition", "kernel_id": "68911757"}, {"ref": "omoyoladavid/spaceship-titanic", "kernel_id": "68584786"}, {"ref": "saimnasir/spaceship-titanic-competition", "kernel_id": "68588860"}, {"ref": "abda11ah/spaceshiptitanic", "kernel_id": "68572609"}, {"ref": "fatihakar5/spaceship-titanic-predict", "kernel_id": "68485630"}, {"ref": "nemotode/space-titanic-simple-sklearn-pipeline-80", "kernel_id": "68422684"}, {"ref": "abdelrahmanalaa135/spaceshiptitanic", "kernel_id": "68422799"}, {"ref": "mikhailshuqin/titanic2", "kernel_id": "68749662"}, {"ref": "mikhailshuqin/titanic", "kernel_id": "68632145"}, {"ref": "brianvilnrotter/spaceship-titanic", "kernel_id": "68502888"}, {"ref": "kolesovdmitry/labworkkolesovspaceship", "kernel_id": "68003298"}, {"ref": "sateeshreddysomu/notebookd9800e543f", "kernel_id": "68048285"}, {"ref": "geon05/spacehip-titanic-practice-01", "kernel_id": "68458952"}, {"ref": "naciminch/spaceship-titanic", "kernel_id": "68877395"}, {"ref": "vredniylumbert/pahomov-lab", "kernel_id": "68329693"}, {"ref": "datanerd2233/labworkkolesovspaceship", "kernel_id": "68610356"}, {"ref": "iiipagin/12345", "kernel_id": "68678541"}, {"ref": "siyandamaphumulo/spaceship-titanic", "kernel_id": "69274911"}, {"ref": "waklord/spaceship", "kernel_id": "69064418"}, {"ref": "yubraj11/spaceship-titanic-gb-rf-score-0-80079", "kernel_id": "69284834"}, {"ref": "aya2012001/spaceship-titanic", "kernel_id": "69750979"}, {"ref": "pranaydeepkorada/how-to-deal-with-missing-values", "kernel_id": "69849935"}, {"ref": "annashport/spaceship-titanic-features-engineering", "kernel_id": "69763844"}, {"ref": "umeshk10/how-to-deal-with-missing-values", "kernel_id": "69801110"}, {"ref": "maimunulkjisan/spaceship-titanic-prediction-catboost", "kernel_id": "69425927"}, {"ref": "maimunulkjisan/titanic-transports-lightgbm-0-80827", "kernel_id": "69428539"}, {"ref": "ashutosh598/spaceship-titanic-competition", "kernel_id": "69631388"}, {"ref": "dridimohamed/datac-ept", "kernel_id": "69253467"}, {"ref": "marmarplz/spaceship-titanic-rf-study", "kernel_id": "69441879"}, {"ref": "pragyavijay/notebookv1-spaceship-titanic", "kernel_id": "69826652"}, {"ref": "francescodantone/spaceship-titanic-rn-catboost-accuracy-78", "kernel_id": "69654121"}, {"ref": "nvmsf7/fork-of-spaced-titanic-3dc248", "kernel_id": "69843128"}, {"ref": "almabady/spaceship-titanic-randomforest-score-0-79", "kernel_id": "69066584"}, {"ref": "joaonumair/spaceship-titanic-notebook", "kernel_id": "69775048"}, {"ref": "pablosepzor/spaceship-titanic", "kernel_id": "69685335"}, {"ref": "stpeteishii/spaceship-titanic-lgbm-with-pkl", "kernel_id": "70645411"}, {"ref": "gomesneto98/feature-engineering-for-spaceship-titanic-top-5", "kernel_id": "70905272"}, {"ref": "shamisolchikamhi/detailed-solution-spaceship-titanic-80", "kernel_id": "70858358"}, {"ref": "patelnisarg2811/spaceship-titanic-80-acc", "kernel_id": "70906099"}, {"ref": "anwarhawash/spaceshiptitanic", "kernel_id": "70484391"}, {"ref": "ahmedmabouelnaga/spaceship", "kernel_id": "70813567"}, {"ref": "shrishh/prediction-using-h2o-ai", "kernel_id": "70934203"}, {"ref": "alexmonfort/spaceship-titanic-gradientboosting", "kernel_id": "70596214"}, {"ref": "arlis0627/space-titanic-arlis", "kernel_id": "70187859"}, {"ref": "chenzihan0210/spaceship-titantic-prediction-with-adaboost", "kernel_id": "70928926"}, {"ref": "snjysbu/fastai-lesson-6a-random-forests", "kernel_id": "70079791"}, {"ref": "shivanshchhawri/notebook6dc60aae80", "kernel_id": "70159892"}, {"ref": "japrima/titanic", "kernel_id": "70581269"}, {"ref": "aslemimolu/spaceship-titanic-logistic-regression-model-train", "kernel_id": "70785529"}, {"ref": "mohamedkhayat/space-ship-titanic-data-cleaning-practice", "kernel_id": "70290953"}, {"ref": "raheesponneth/spaceship-titanic", "kernel_id": "70360694"}, {"ref": "isaacnielsen/stacking-model", "kernel_id": "70971295"}, {"ref": "lucasobrien1992/fastai-lesson-6a-random-forests-modified-for-space", "kernel_id": "70916872"}, {"ref": "javierjg32/spaceship-titanic-cs4661", "kernel_id": "70410849"}, {"ref": "katerynavytv/olkada-space-titanic", "kernel_id": "70680551"}, {"ref": "dillondalton15/spaceship-titanic", "kernel_id": "70820247"}, {"ref": "whitestones/spaceship-titanic", "kernel_id": "71069761"}, {"ref": "stpeteishii/spaceship-titanic-lgbm-w-count-feature", "kernel_id": "71308686"}, {"ref": "mcpolabearlow/beginner-xgboost", "kernel_id": "71992012"}, {"ref": "tataricusaster/20241123-space", "kernel_id": "71473986"}, {"ref": "gauthampnair/rag-with-in-memory-vector-db", "kernel_id": "71487981"}, {"ref": "saphalpoudyal/titanic-spaceship", "kernel_id": "71439383"}, {"ref": "felixfebryanwana/random-forest", "kernel_id": "71197135"}, {"ref": "niteshchawla5/feature-engg-lightgbm-comparison-0-8057", "kernel_id": "71835980"}, {"ref": "sammy2278/spacescfisamuel", "kernel_id": "71402504"}, {"ref": "rimkomatic/tf-decision-forests", "kernel_id": "71791263"}, {"ref": "nikkhilmahajannnn/spaceship-titanic-solution", "kernel_id": "71269538"}, {"ref": "shaoyingzheng1213/unique-fillna-technique-80-acc", "kernel_id": "71554542"}, {"ref": "parulpreu/spaceshiptitanic", "kernel_id": "71586459"}, {"ref": "dariiagaevskaia/notebookeae77fbbf6", "kernel_id": "71590492"}, {"ref": "abhishekparita13/spaceship-titanic", "kernel_id": "71586443"}, {"ref": "vijayk0510/spacetitanic", "kernel_id": "71586600"}, {"ref": "bp8976/ml-workshpop-ipny", "kernel_id": "71585137"}, {"ref": "liamstuart3141/first-kaggle-attempt-feedback-welcome", "kernel_id": "71094507"}, {"ref": "piyumiimasha/spaceship-titanic", "kernel_id": "71371223"}, {"ref": "kpspkp/ml-workshop1-25nov", "kernel_id": "71619500"}, {"ref": "jenn1etang/fork-of-fastai-lesson-6a-random-forests-b0a1d1", "kernel_id": "71213960"}, {"ref": "jenn1etang/fastai-lesson-6a-random-forests-b0a1d1", "kernel_id": "71213662"}, {"ref": "jenn1etang/fork-of-fastai-lesson-6a-random-forests-b0a-3e5c17", "kernel_id": "71218048"}, {"ref": "jenn1etang/fastai-lesson-6a-random-forests", "kernel_id": "71211555"}, {"ref": "t8101349/spaceship-titanic", "kernel_id": "71855428"}, {"ref": "dwarovski/titanic", "kernel_id": "71526096"}, {"ref": "michelezuppi/spaceship-titanic-rstudio-xgboost-0-747", "kernel_id": "71792927"}, {"ref": "joeyz66/standardized-workflow-80-8-accuracy", "kernel_id": "71654620"}, {"ref": "anatoliikotvytskyi/comparison-of-decisiontree-randomforest-xgboost", "kernel_id": "71532112"}, {"ref": "gailancai/getting-started-with-titanic", "kernel_id": "71825222"}, {"ref": "olehseveryn/spaceship-titanic", "kernel_id": "71668759"}, {"ref": "gurvaahsingh/advanced-ensembling-forest-spaceship-titanic-ai", "kernel_id": "71698497"}, {"ref": "vanshi07/workshop1-ml-25-nov", "kernel_id": "71586465"}, {"ref": "chowdhuryadithi/spaceship-titanic-with-different-model-comparison", "kernel_id": "71807908"}, {"ref": "hanzeruiooo/spaceship-score-0-798", "kernel_id": "71896770"}, {"ref": "krabhijeet/eda-spaceship-titanic-using-seaborn", "kernel_id": "72848014"}, {"ref": "khueluu/spaceship-titanic", "kernel_id": "72487393"}, {"ref": "lorddiablo74/spaceship-histgradientboostingclassifier", "kernel_id": "72028958"}, {"ref": "salmangeo/lightgbm-optuna", "kernel_id": "72772432"}, {"ref": "sarvenazchaeibakhsh/spaceship-titanic", "kernel_id": "72734732"}, {"ref": "paulineac1122/spaceship-quick-run-on-machine-learning-algorithms", "kernel_id": "72539755"}, {"ref": "shreyanshchopra/notebook2d4670a7f4", "kernel_id": "72568563"}, {"ref": "graystar/241212-space", "kernel_id": "72819042"}, {"ref": "smeyra/spaceship-titanic-survival-prediction", "kernel_id": "72166372"}, {"ref": "kospter/spaceship-introduction-to-machine-learning", "kernel_id": "72322907"}, {"ref": "sobiahashmi/spaceship-titanic-predictions", "kernel_id": "72210167"}, {"ref": "lmanojsai/spaceship-titanic-eda-feature-engg", "kernel_id": "72894499"}, {"ref": "marissawagner/spaceship-titanic-with-tfdf", "kernel_id": "72533500"}, {"ref": "amiramohammedi07/spaceship-titanic", "kernel_id": "72208315"}, {"ref": "farisaboueid/titanic-speaceship", "kernel_id": "72702786"}, {"ref": "ahmedessamshadeed/titanic-spaceship", "kernel_id": "72133979"}, {"ref": "rechadsanehy/spaceship-titanic-with-pytorch", "kernel_id": "72314384"}, {"ref": "yoonie03/spaceship-titanic-class", "kernel_id": "72294091"}, {"ref": "santoshanand0406/notebooka5fbe323fc", "kernel_id": "72779080"}, {"ref": "egormerk/notebook632dafb1f9", "kernel_id": "72444147"}, {"ref": "rukmaltharaka/spaceship-prediction-rfc", "kernel_id": "72035684"}, {"ref": "chriscallender/spaceship-kaggle", "kernel_id": "72937645"}, {"ref": "grelahe/spaceship-titanic-factoria", "kernel_id": "72059978"}, {"ref": "claireryu/kor-spaceship-titanic-eda-xgboost-practice", "kernel_id": "72063994"}, {"ref": "rbellthy/fastai-lesson-6a-random-forests", "kernel_id": "72015953"}, {"ref": "agvamo/spaceship-titanic-optuna", "kernel_id": "72772411"}, {"ref": "vincentr23/spaceship-titanic-cs4661", "kernel_id": "72215074"}, {"ref": "samsonbobo/samson-spaceship-titanic", "kernel_id": "72815412"}, {"ref": "rabinkumar/spaceship-titanic", "kernel_id": "72846095"}, {"ref": "lorddiablo74/spaceship-pytorch", "kernel_id": "73885915"}, {"ref": "tkoyama010/notebook7e08ac62b4", "kernel_id": "73537623"}, {"ref": "leonardogiorgi/spaceship-titanic-python", "kernel_id": "73429532"}, {"ref": "mos3santos/spaceship-titanic-score-0-8285", "kernel_id": "73912412"}, {"ref": "kunalgokhe/spaceship-titanic", "kernel_id": "73013911"}, {"ref": "cohhey/notebook1042dee1f6", "kernel_id": "73541025"}, {"ref": "taqihaider17/spaceship-titanic-nsu-final-assignment", "kernel_id": "73246980"}, {"ref": "miltonwhite/spaceship-titanic-competition", "kernel_id": "73965606"}, {"ref": "denirupasri/spaceship-classification", "kernel_id": "73126323"}, {"ref": "ahmettolgasenli/space-ship-classification-problem", "kernel_id": "73819170"}, {"ref": "enesgktekin/spaceship-titanic-78-325", "kernel_id": "73782962"}, {"ref": "irenehavsa/eda-spaceship-titanic", "kernel_id": "73366350"}, {"ref": "adnankahveci/spaceship-titanic", "kernel_id": "73945922"}, {"ref": "upparisridhar/spaceshippredict", "kernel_id": "73407127"}, {"ref": "uzairajokhio/space-titanic", "kernel_id": "73867024"}, {"ref": "lilsup99/spaceship-analysis", "kernel_id": "73650573"}, {"ref": "rivinduashinsa/spaceship-titanic-competition", "kernel_id": "73769647"}, {"ref": "abdelhakkana/titanic-spaceship-80-accuracy", "kernel_id": "73567874"}, {"ref": "dipanshurajput18/spaceship-titanic", "kernel_id": "73717835"}, {"ref": "vladlen32230/spaceship-titanic", "kernel_id": "73262055"}, {"ref": "ernestoserize/space-titanic-gradient-boosting-classifier", "kernel_id": "73526694"}, {"ref": "aemanch/spaceship-titanic-code", "kernel_id": "73434936"}, {"ref": "aemanch/spaceship-disaster", "kernel_id": "73683322"}, {"ref": "sakhadib/spaceship-titanic-with-explanation-80-73-score", "kernel_id": "73785665"}, {"ref": "sakhadib/spaceship-titanic-tfdf", "kernel_id": "73741778"}, {"ref": "ujjwalraghav69/space-ship", "kernel_id": "73675585"}, {"ref": "bhavyajethi/spaceship-titanic", "kernel_id": "73491238"}, {"ref": "ravesandstorm/space-titanic-xgboost-feature-analysis", "kernel_id": "73128105"}, {"ref": "masayayamamoto2024/common-code", "kernel_id": "73345652"}, {"ref": "bison777/comp-2-spaceship-titanic-prediction", "kernel_id": "73158792"}, {"ref": "endingshostler/spaceship-titanic-with-pytorch", "kernel_id": "73500571"}, {"ref": "yarensuluda/spaceship-titanic-classification", "kernel_id": "73644325"}, {"ref": "mythilyarasu/spaceship-titanic", "kernel_id": "73513441"}, {"ref": "yekhant/spaceship-titanic-d18a0f", "kernel_id": "73536847"}, {"ref": "kimmyxiao/spaceship-binary-classification", "kernel_id": "73387358"}, {"ref": "yousefkhalil0/spaceship-titanic", "kernel_id": "73047477"}, {"ref": "paddypat/cosmicvoyager-v1", "kernel_id": "73645189"}, {"ref": "jiumei123/611yuzhoufeichuan", "kernel_id": "73056559"}, {"ref": "samsonbobo/samson-2-spaceship-titanic", "kernel_id": "73585306"}, {"ref": "quezaltendes/spaceship-titanic-0-80032", "kernel_id": "73439879"}, {"ref": "abubakararman/spaceship-titanic-competition-74-63-score", "kernel_id": "73908313"}, {"ref": "lazycoder5/notebookc9ce52c68c", "kernel_id": "73533159"}, {"ref": "atiqur48950686/spaceship-titanic-atiqur", "kernel_id": "73102544"}, {"ref": "artemlozovenko/notebook50c0f8fa78", "kernel_id": "73496312"}, {"ref": "jokwak/spaceship-titanic-score-81-82", "kernel_id": "73930517"}, {"ref": "manishtomarrajput/notebook6344ae877b", "kernel_id": "73864996"}, {"ref": "ahmadhassan061/lec5-fastai-main", "kernel_id": "74387368"}, {"ref": "sidhantssrivastava/22bce3081-data-mining-lab-da-1", "kernel_id": "74906946"}, {"ref": "karusamuel/space-titanic", "kernel_id": "74833587"}, {"ref": "krishnaporwal/simple-titanic-spaceship-prediciton", "kernel_id": "74688061"}, {"ref": "samithsachidanandan/spaceship-titanic-prediction", "kernel_id": "74194049"}, {"ref": "saiprashanthpathi/space-titanic-grid-search-xgb", "kernel_id": "74787354"}, {"ref": "gerardomacias/spaceship-titanic-with-pytorch", "kernel_id": "74175063"}, {"ref": "gerardomacias/spaceship-titanic-pytorch", "kernel_id": "74353557"}, {"ref": "wamiottowang/baseline-xgb-notebook", "kernel_id": "74046641"}, {"ref": "yaroslav53/catboost-and-xgboost-spaceship-titanic", "kernel_id": "74528785"}, {"ref": "utkarshsaxenadn/handling-missing-values-mcar-mar-mnar", "kernel_id": "74889013"}, {"ref": "blackdragonk333/spaceship-titanic", "kernel_id": "74024661"}, {"ref": "shivcoderss/spaceship-titanic", "kernel_id": "74377897"}, {"ref": "sonualexantony/spaceship-titanic-competition", "kernel_id": "74960740"}, {"ref": "usamatufail/titanic-eda-mlmodel", "kernel_id": "74752882"}, {"ref": "vietth/demo-0", "kernel_id": "74834865"}, {"ref": "shmyrevsa/spaceship-titanic", "kernel_id": "74812580"}, {"ref": "m1z2n3r4a5/spaceship-titanic", "kernel_id": "74982929"}, {"ref": "felipeeduardovieira/modelo-randomizedsearchcv-com-catboost", "kernel_id": "74302601"}, {"ref": "atefemahdaviadel/spaceship-titanic-with-tfdf", "kernel_id": "74208255"}, {"ref": "atefemahdaviadel/spaceship-titanic-prediction", "kernel_id": "74232355"}, {"ref": "ryankusekwa/spaceship-titanic-by-ryan-kusekwa", "kernel_id": "74865093"}, {"ref": "langstonharrisjara/spaceship-titanic", "kernel_id": "74491864"}, {"ref": "shogomiyawaki/spaceship-titanic", "kernel_id": "74516560"}, {"ref": "myusage16/spaceship-titanic-prediction", "kernel_id": "74044434"}, {"ref": "garrettcannonweeks/spaceship-titanic-randomforest-with-r", "kernel_id": "74571248"}, {"ref": "maximravichev/spaceship-titanic-notebook", "kernel_id": "74518141"}, {"ref": "poojamaheshwarii/titanicprob-3397", "kernel_id": "74541477"}, {"ref": "baibhavkundu2005/0-80476-autogluon-feature-engineering", "kernel_id": "74990450"}, {"ref": "vedeshp/spaceship-titanic-by-vp", "kernel_id": "74039788"}, {"ref": "tshinya1120/spaceship-titanic-v1", "kernel_id": "74322782"}, {"ref": "hadirizwan/predicting-survival-on-titanic-spaceship", "kernel_id": "74100842"}, {"ref": "thomaspierantozzi/top-13-solution", "kernel_id": "74696456"}, {"ref": "thekapiswild/spaceship-titanic-formal-submission", "kernel_id": "74178197"}, {"ref": "yuliiabulana/spaceship-titanic-with-tfdf", "kernel_id": "74672811"}, {"ref": "noorkhan4155/spaceship-titanic", "kernel_id": "74983045"}, {"ref": "mahabub001cs/spaceship-titanic", "kernel_id": "74058986"}, {"ref": "luisfranciscogh11/modelo-de-clasificaci-n-spaceship-titanic", "kernel_id": "74179270"}, {"ref": "yashkhaitan21/spaceship-predictions-1pd", "kernel_id": "74284494"}, {"ref": "nadyyautm21/tugas-akhir-statistika", "kernel_id": "74662714"}, {"ref": "akhil06022004/notebookf1ae642779", "kernel_id": "74955581"}, {"ref": "entelpi/voting-classifier-spaceship-titanic", "kernel_id": "75526115"}, {"ref": "michaelarthur224/80-xgboost-vs-xglight", "kernel_id": "75546439"}, {"ref": "mustafadoruer/spaceship-titanic-mudo", "kernel_id": "75086568"}, {"ref": "prosacientfica/spaceship-titanic", "kernel_id": "75744980"}, {"ref": "ayushchandramaurya/spaceship-tiatanic", "kernel_id": "75510458"}, {"ref": "taavikalaluka/spaceship-titanic-eda-xgboost-with-pipelines", "kernel_id": "75351164"}, {"ref": "aayushiweb/spaceship-titanic", "kernel_id": "75120555"}, {"ref": "victorbulgarov/spaceship-titanic-with-tfdf", "kernel_id": "75426616"}, {"ref": "ashikshahriar/spaceship-titanic-endtoend", "kernel_id": "75762017"}, {"ref": "reetinder/easy-method-for-prediction-on-titanic-spaceship", "kernel_id": "75263945"}, {"ref": "reetinder/improved-xgboost", "kernel_id": "75444792"}, {"ref": "raffiardhi/79-acc-lightgbm", "kernel_id": "75437008"}, {"ref": "moussa2100/titanic-analysis", "kernel_id": "75272278"}, {"ref": "eminustun/spaceshiptitanicv1", "kernel_id": "75051875"}, {"ref": "abdallah11/spaceship-titanic-using-models", "kernel_id": "75252879"}, {"ref": "idlivada000/convlstm-next-frame-prediction", "kernel_id": "75123753"}, {"ref": "kazloo/spaceship", "kernel_id": "75950313"}, {"ref": "khaireddinearbouch/spaceship-titanic-with-a-stacking-classifier-0-7", "kernel_id": "75874626"}, {"ref": "zafarali27/spaceship-titanic", "kernel_id": "75022162"}, {"ref": "alanzanardi/spaceship-titanic-in-3d-where-were-the-passengers", "kernel_id": "75705549"}, {"ref": "suyogghimire/spaceship-titanic", "kernel_id": "75462989"}, {"ref": "umehabibaakbarali/spaceship-titanic", "kernel_id": "75572146"}, {"ref": "masayayamamoto2024/common-code-v5", "kernel_id": "75036193"}, {"ref": "jipwulffele/ensemble-and-xgboost-2", "kernel_id": "75513595"}, {"ref": "jipwulffele/pipeline-feature-engineering", "kernel_id": "75620182"}, {"ref": "jipwulffele/pipelines-version-4", "kernel_id": "75346558"}, {"ref": "olimsuyunboyev/titanic-spaceship", "kernel_id": "75130634"}, {"ref": "deephabiswashi2000/cosmicrescueml-on-spaceship-titanic", "kernel_id": "75947649"}, {"ref": "machinelearner3000/eda-and-fe-for-spaceship-titanic-rus", "kernel_id": "75941457"}, {"ref": "thekapiswild/spaceship-titanic-with-transductive-learning", "kernel_id": "75106267"}, {"ref": "joydebganprokas/spaceship-titanic-solution-top-3-0-80874", "kernel_id": "75049370"}, {"ref": "yuliiabulana/spaceship-titanic-with-dt", "kernel_id": "75538914"}, {"ref": "ismaildikmen/spaceship-titanic", "kernel_id": "75428421"}, {"ref": "shuto210/accuracy-80-spaceship-titanic", "kernel_id": "75545309"}, {"ref": "rafaelvzquezcaldito/0-79471-spaceship-titanic", "kernel_id": "75481118"}, {"ref": "ajmaliitm/titanic-spaceship", "kernel_id": "75298206"}, {"ref": "javierojeda71/spaceship-titanic", "kernel_id": "75763710"}, {"ref": "julizarate/jzspaceship", "kernel_id": "75456608"}, {"ref": "uohzey1/sp-ti", "kernel_id": "76353748"}, {"ref": "karishmabattina/spaceshiptitanicclassification", "kernel_id": "76565704"}, {"ref": "avinashmynampati/titanic-spaceship1", "kernel_id": "76606187"}, {"ref": "jeremyalbright11/notebooka7b346adcc", "kernel_id": "76748222"}, {"ref": "gentilmenarif/spaceship-e53383", "kernel_id": "76026927"}, {"ref": "ajenks/first-competition", "kernel_id": "76910496"}, {"ref": "janeshnanda12/spaceship-titanic", "kernel_id": "76222803"}, {"ref": "pes1202203872/unet3d-moving-mnist-dataset", "kernel_id": "76395607"}, {"ref": "abinavn/spaceship-titanic", "kernel_id": "76380189"}, {"ref": "yanplayz08/neural-network-with-pytorch-80-accuracy", "kernel_id": "76388335"}, {"ref": "serjshul/spaceship-titanic-catboostclassifier", "kernel_id": "76146739"}, {"ref": "serjshul/spaceship-titanic-random-forest-ydf", "kernel_id": "76069737"}, {"ref": "serjshul/spaceship-titanic-mlp-keras", "kernel_id": "76676484"}, {"ref": "pratikraj244/spaceship-analysis-and-prediction2", "kernel_id": "76314164"}, {"ref": "harshagrawal2404/spaceship-titanic-classification-problem", "kernel_id": "76985230"}, {"ref": "preetamchhaliya/notebook-spaceship", "kernel_id": "76059631"}, {"ref": "deephabiswashi2000/titanic-spaceship-stacking-models", "kernel_id": "76016988"}, {"ref": "thekapiswild/spaceship-titanic-with-advanced-data-manipulation", "kernel_id": "76381571"}, {"ref": "yunjun0914/tf-df-randomforest-with-preprocess", "kernel_id": "76406595"}, {"ref": "kartheekredrowthu/spaceship-titanic", "kernel_id": "76012494"}, {"ref": "eminaanapaydn/spaceship-titanic-prediction", "kernel_id": "76063239"}, {"ref": "ermarchear/spaceship", "kernel_id": "76901453"}, {"ref": "oulcanergin/spaceship-titanic", "kernel_id": "76073977"}, {"ref": "ayberkural/spaceship-titanic", "kernel_id": "76303920"}, {"ref": "rahuljangu/1stnotebook", "kernel_id": "76953280"}, {"ref": "priyankamahto/spaceship-titanic", "kernel_id": "76955111"}, {"ref": "niti9693/titanic", "kernel_id": "76955105"}, {"ref": "andreikhromykh/spaceship-titanic", "kernel_id": "76833909"}, {"ref": "gbeminiyionipede/end-to-end-competition-submission-approach", "kernel_id": "76493170"}, {"ref": "manjimanambiar2/notebook4ba8dc5931", "kernel_id": "76956604"}, {"ref": "drakendan/spaceship-titanic-ensemble-models", "kernel_id": "77518572"}, {"ref": "danieldobrenz/full-pipeline-eda-etc-dl-model", "kernel_id": "77991848"}, {"ref": "sspan0019/titanic-model-comparison-hgb", "kernel_id": "77325121"}, {"ref": "simonebaglivi/spaceship-titanic", "kernel_id": "77895401"}, {"ref": "muhababubaker/spaceship-titanic-eda-modelling", "kernel_id": "77722388"}, {"ref": "yaroslav53/spaceship-titanic-final", "kernel_id": "77127297"}, {"ref": "fertmeneses/spaceship-titanic-data-imputation", "kernel_id": "77453996"}, {"ref": "mrabbyilyas/spaceship-titanic", "kernel_id": "77846428"}, {"ref": "mehmetkgl/notebook2c196b3282", "kernel_id": "77593557"}, {"ref": "ananasforever/spaceship-titanic", "kernel_id": "77396975"}, {"ref": "celestemiller/spaceship-binary-classification-redone", "kernel_id": "77603172"}, {"ref": "yoseflachman/titanic-demo-ml-class", "kernel_id": "77664952"}, {"ref": "daltongabrielomondi/spaceship-tiatanic", "kernel_id": "77860486"}, {"ref": "aryavratmisrha/notebooke1785f3f52", "kernel_id": "77090255"}, {"ref": "jakubkmn/spaceship-kaggle-competition", "kernel_id": "77747930"}, {"ref": "alijatt1/spaceship-titanic", "kernel_id": "77469069"}, {"ref": "sehyeoncheon/ml-study-project1", "kernel_id": "77450929"}, {"ref": "kadirkdr/spaceship-titanic-prediction", "kernel_id": "77364762"}, {"ref": "soulofsword/titanic-spaceship-with-xgboost", "kernel_id": "77117686"}, {"ref": "zunairaaa/spaceship-titanic", "kernel_id": "77679252"}, {"ref": "cbxyps666/notebook1661df609a", "kernel_id": "77875677"}, {"ref": "rsbit30/spaceship-titanic", "kernel_id": "77707459"}, {"ref": "pollynovo/titanic-with-7-models-russian-english", "kernel_id": "77095412"}, {"ref": "drapes/spaceship-titanic-comp", "kernel_id": "77713369"}, {"ref": "asifmostafa88/spaceship-titanic", "kernel_id": "77880950"}, {"ref": "riyahiteshkumarshah/artificial-nueral-network", "kernel_id": "77838570"}, {"ref": "niti9693/spaceship", "kernel_id": "77064955"}, {"ref": "dadutotade/spaceship-titanic", "kernel_id": "77132116"}, {"ref": "wooseokpeterchoi/spaceship-titanic-ml-study-classification", "kernel_id": "77460863"}, {"ref": "skoolch/spaceship-titanic", "kernel_id": "77585870"}, {"ref": "damianvtran/local-operator-titanic-survivors-auto-ml", "kernel_id": "77617582"}, {"ref": "jacksonlmp/notebook-rp", "kernel_id": "77148987"}, {"ref": "chivalrycieux/mytfdf", "kernel_id": "77579518"}, {"ref": "prayas0/space-titanic-minimum-eda", "kernel_id": "78534942"}, {"ref": "fizcogar/intro-ia-3-0-clasificacion-1", "kernel_id": "78299962"}, {"ref": "commandante/faceprep-pdsa-data-cleaning", "kernel_id": "78619690"}, {"ref": "mamkwebu/spaceship-titanic", "kernel_id": "78467078"}, {"ref": "drakendan/spaceship-titanic-eda", "kernel_id": "78126527"}, {"ref": "mohammednashat/building-a-model-for-spaceship-titanic-survival", "kernel_id": "78331870"}, {"ref": "danieldobrenz/ensemble-model-full-pipeline-eda-etc", "kernel_id": "78448926"}, {"ref": "danieldobrenz/xg-boost-random-forest-full-pipeline", "kernel_id": "78312119"}, {"ref": "michaorlewski/spaceship-titanic-prediction-eda-rf-gb-optuna", "kernel_id": "78283976"}, {"ref": "jihyunnoh22/spaceship-titanic-1", "kernel_id": "78126947"}, {"ref": "shadesh/eda-data-preprocessing-and-ml-model-training", "kernel_id": "78961959"}, {"ref": "abdallaellaithy/titanic-in-space-ml-survival-predictions", "kernel_id": "78915927"}, {"ref": "seandurkan/spaceship-s-binary-classification-task", "kernel_id": "78734138"}, {"ref": "eshaanaryansinha/spaceship-titanic", "kernel_id": "78055758"}, {"ref": "yiluosjtut/spaceship-titanic-yl", "kernel_id": "78652447"}, {"ref": "hansenshim/space-titanic", "kernel_id": "78412882"}, {"ref": "callmehafez/spaceship-titanic-for-beginner", "kernel_id": "78767643"}, {"ref": "myothein/spaceship-titanic", "kernel_id": "78685004"}, {"ref": "zhudawei01/week-7-prac-1-titanic", "kernel_id": "78924192"}, {"ref": "zhudawei01/week7-prac-2-spacetitanic", "kernel_id": "78940550"}, {"ref": "melvin098/fastai-lesson-6a-random-forests", "kernel_id": "78936473"}, {"ref": "waszabbyryugami/prediction-model-for-the-spaceship-titanic-dataset", "kernel_id": "78566804"}, {"ref": "sehyeoncheon/ml-study-project1-w2", "kernel_id": "78334784"}, {"ref": "astriazhu/cp3501-prac7-task-1", "kernel_id": "78799005"}, {"ref": "astriazhu/cp3501-prac7-task-2", "kernel_id": "78799838"}, {"ref": "atharvasoundankar/full-code-for-spaceship-titanic-submission", "kernel_id": "78020364"}, {"ref": "vincentthendean/fastai-lesson-6a-random-forests", "kernel_id": "78856305"}, {"ref": "vincentthendean/task-2-fastai-lesson-6a-random-forests", "kernel_id": "78857121"}, {"ref": "suetkei/cp3501-prac7-task1", "kernel_id": "78936718"}, {"ref": "dexterkwok/fastai-lesson-6a-random-forests", "kernel_id": "78848375"}, {"ref": "dexterkwok/fastai-lesson-6a-random-forests-spaceship-titanic", "kernel_id": "78852540"}, {"ref": "chetpotato/fastai-lesson-6a-random-forests-spaceship-titani", "kernel_id": "78853438"}, {"ref": "chetpotato/fastai-lesson-6a-random-forests", "kernel_id": "78850929"}, {"ref": "ekibi1124/fastai-lesson-6a-random-forests", "kernel_id": "78851354"}, {"ref": "gaoyyi/fastai-lesson-6a-random-forests", "kernel_id": "78851498"}, {"ref": "gaoyyi/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "78851863"}, {"ref": "annaaa2/anastasia-week7-random-forests", "kernel_id": "78853318"}, {"ref": "ismailyassin256/spaceship-classification-cleaning-preprocessing", "kernel_id": "78554925"}, {"ref": "ismailyassin256/spaceship-titanic-simple-eda", "kernel_id": "78554179"}, {"ref": "khalilakremi/spaceship-titanic", "kernel_id": "78774480"}, {"ref": "mindyscharpf/spacebook", "kernel_id": "78766066"}, {"ref": "muhammadtara/test-kaggle-spaceship", "kernel_id": "78081803"}, {"ref": "muhammadtara/kaggle-spaceship-eda", "kernel_id": "78934525"}, {"ref": "muhammadtara/test-kaggle-spaceship-validasi-dan-hyper-tuning", "kernel_id": "78778932"}, {"ref": "tmuanamnh/fastai-lesson-6a-random-forests", "kernel_id": "78852457"}, {"ref": "tmuanamnh/fork-of-fastai-lesson-6b-random-forests", "kernel_id": "78852950"}, {"ref": "redonsh/spaceship-redon", "kernel_id": "78939208"}, {"ref": "redonsh/fastai-lesson-6a-random-forests", "kernel_id": "78938405"}, {"ref": "ramtinkarbaschi/spaceshiptitanic-lgbmmodel", "kernel_id": "78338897"}, {"ref": "laurasaraiva/spaceship-titanic", "kernel_id": "78698869"}, {"ref": "jinwang3/cp3501-prac7-task-2", "kernel_id": "78859478"}, {"ref": "jinwang3/fastai-lesson-6a-random-forests", "kernel_id": "78855506"}, {"ref": "haymanhninaye/fastai-lesson-6a-random-forests-481540", "kernel_id": "78854973"}, {"ref": "haymanhninaye/fastai-lesson-6a-random-forests", "kernel_id": "78854345"}, {"ref": "jzkx666/fork-of-fastai-lesson-6a-random-forests", "kernel_id": "78857432"}, {"ref": "jzkx666/fastai-lesson-6a-random-forests", "kernel_id": "78856931"}, {"ref": "yukey001/fastai-lesson-6a-random-forests", "kernel_id": "78858452"}, {"ref": "yukey001/cp3501-prac7-task-2", "kernel_id": "78859453"}, {"ref": "hsuchiachang1/spaceship-titanic-with-tfdf", "kernel_id": "78857240"}, {"ref": "hsuchiachang1/fastai-lesson-6a-random-forests", "kernel_id": "78856695"}, {"ref": "yc6666yu/fastai-lesson-6a-random-forests", "kernel_id": "78852501"}, {"ref": "yc6666yu/cp3501-prac7-task-2", "kernel_id": "78859346"}, {"ref": "venuslu1128/fastai-lesson-6a-random-forests", "kernel_id": "78852247"}, {"ref": "banyarsawthit/fastai-lesson-6a-random-forests", "kernel_id": "78858598"}, {"ref": "banyarsawthit/p7-task2c-of-fastai-lesson-6a-random-forests", "kernel_id": "78882893"}, {"ref": "mylawang/fastai-lesson-6a-random-forests-31f788", "kernel_id": "78858431"}, {"ref": "mylawang/fastai-lesson-6a-random-forests", "kernel_id": "78852372"}, {"ref": "tomirisdadamurzayeva/fastai-lesson-6a-random-forests-816d69", "kernel_id": "78856719"}, {"ref": "tomirisdadamurzayeva/fastai-lesson-6a-random-forests", "kernel_id": "78856043"}, {"ref": "victorkre/fastai-lesson-6a-random-forests", "kernel_id": "78848850"}, {"ref": "victorkre/fork-of-fastai-lesson-6a-random-forests-1d0224", "kernel_id": "78854657"}, {"ref": "guoyuye/fastai-lesson-6a-random-forests-ae1c9d", "kernel_id": "78856664"}, {"ref": "guoyuye/fastai-lesson-6a-random-forests", "kernel_id": "78852728"}, {"ref": "nafisatoushi/w7-t1-fastai-lesson-6a-random-forests", "kernel_id": "78936462"}, {"ref": "nafisatoushi/w7-t2-fastai-lesson-6a-random-forests", "kernel_id": "78940029"}, {"ref": "nathanpeter2002/cp3501-deeplearning-wk7-1-titanic-ncpeter", "kernel_id": "78934775"}, {"ref": "coderkr/spaceship-titanic", "kernel_id": "78863886"}, {"ref": "yavuzselimcoban/spaceship-titanic-randomforestclassifier", "kernel_id": "78325461"}, {"ref": "ke1suke/notebook6ddc43bbe9", "kernel_id": "78339703"}, {"ref": "enhancedmachinen/titanic-py", "kernel_id": "78690492"}, {"ref": "nileshnandants/spaceshiptitanic-analytics", "kernel_id": "79160600"}, {"ref": "amirmoshkani/survive-space", "kernel_id": "79992096"}, {"ref": "prishaagrawal/titanic-in-space", "kernel_id": "79607865"}, {"ref": "rahulladhani/spaceship-titanic-xgboost-vs-random-forest-78-8", "kernel_id": "79853791"}, {"ref": "hamyrappy/spacetitanic-test", "kernel_id": "79504511"}, {"ref": "nico7777777/spaceship-titanic-solution", "kernel_id": "79639292"}, {"ref": "eunicl/spaceship-titanic-with-random-forest-xgboost", "kernel_id": "79079859"}, {"ref": "priyanshupadhi/notebook0dd9ddaaaf", "kernel_id": "79740730"}, {"ref": "fatimakiraz/predicting-titanic-survival-with-xgboost", "kernel_id": "79423799"}, {"ref": "letianyou/fastai-lesson-6a-random-forests-aa1141", "kernel_id": "79152805"}, {"ref": "letianyou/fastai-lesson-6a-random-forests", "kernel_id": "79151695"}, {"ref": "jeremyhuang041013/fastai-lesson-6a-random-forests", "kernel_id": "79132238"}, {"ref": "jeremyhuang041013/cp3501-prac7-task-2", "kernel_id": "79132467"}, {"ref": "juelaili/fastai-lesson-6a-random-forests", "kernel_id": "79132779"}, {"ref": "juelaili/cp3501-prac7-task-2", "kernel_id": "79133083"}, {"ref": "davidfwli/fastai-lesson-6a-random-forests", "kernel_id": "79132624"}, {"ref": "davidfwli/cp3501-prac7-task-2", "kernel_id": "79132909"}, {"ref": "annaaa2/fork-of-anastasia-week7-2-spaceship-titantic", "kernel_id": "79141410"}, {"ref": "mrchen66/space-titanic-notebook", "kernel_id": "79874741"}, {"ref": "vuyurudeepthi/spaceship-titanic", "kernel_id": "79550225"}, {"ref": "venukumarpichika/spaceship", "kernel_id": "79835163"}, {"ref": "khushbukamal02/spaceship-titanic-with-tfdf", "kernel_id": "79381247"}, {"ref": "borannder/spaceship-titanic", "kernel_id": "79458995"}, {"ref": "denizmadala/spaceship-titanic-acc-0-789", "kernel_id": "79521892"}, {"ref": "haymanhninaye/fastai-lesson-6a-random-forests-b66d42", "kernel_id": "79144977"}, {"ref": "saisaingkham/fastai-lesson-6a-random-forests", "kernel_id": "79152808"}, {"ref": "yzxycst/fastai-lesson-6a-random-forests", "kernel_id": "79139829"}, {"ref": "yzxycst/fork-of-fastai-lesson-6a-random-forests-b85a5f", "kernel_id": "79163846"}, {"ref": "shicheng114514/fastai-lesson-6a-random-forests", "kernel_id": "79010830"}, {"ref": "shicheng114514/cp3501-prac7-task-2", "kernel_id": "79011098"}, {"ref": "yuanruigao/fastai-lesson-6a-random-forests", "kernel_id": "79131849"}, {"ref": "yuanruigao/cp3501-prac7-task-2", "kernel_id": "79132033"}, {"ref": "yifupu/fastai-lesson-6a-random-forests", "kernel_id": "79135721"}, {"ref": "victorkre/notebook847d1dba34", "kernel_id": "79118216"}, {"ref": "primadebborna/fastai-lesson-6a-random-forests", "kernel_id": "79435541"}, {"ref": "zhixingli917/fastai-lesson-6a-random-forests", "kernel_id": "79015562"}, {"ref": "zhixingli917/cp3501-prac7-task-2", "kernel_id": "79015776"}, {"ref": "thewally/spaceship-titanic-experiment-2", "kernel_id": "79367500"}, {"ref": "payal156/spaceship-titanic-classification-problem", "kernel_id": "79305906"}, {"ref": "giovanacoutinho/ss-violet-fmu", "kernel_id": "79189591"}, {"ref": "fnajjar/titanic-spaceship", "kernel_id": "80995953"}, {"ref": "mehtysh/ai-ds-helper", "kernel_id": "80817595"}, {"ref": "sudarshansahane/spaceshiptitanicprediction", "kernel_id": "80499088"}, {"ref": "ameyadamle/spaceship-titanic", "kernel_id": "80512836"}, {"ref": "suriyaprakashg/stacking-ensemble-rf-xgb-lgbm", "kernel_id": "80268798"}, {"ref": "khanzala/spaceship-titanic-2025", "kernel_id": "80917769"}, {"ref": "albertoagr/spaceship-titanic-random-forest-classifier-knn", "kernel_id": "80448586"}, {"ref": "zeeshanx/rf-classifier", "kernel_id": "80849342"}, {"ref": "ayush4549/titanic", "kernel_id": "80734043"}, {"ref": "fatihaydost11/spaceship-titanic", "kernel_id": "80026356"}, {"ref": "jackcha/spaceship-titanic-catboost", "kernel_id": "80882907"}, {"ref": "oussamaelkarti/spaceship-titanic-with-xgboost", "kernel_id": "80308457"}, {"ref": "seifkhaled12/spaceship-titanic", "kernel_id": "80249607"}, {"ref": "euqiac/sgd-classifier-fmu", "kernel_id": "80396069"}, {"ref": "pkraman06/spaceship-titanic", "kernel_id": "80024430"}, {"ref": "juliankraus/spaceship-stacking", "kernel_id": "80683202"}, {"ref": "juliankraus/spaceship-xgboost", "kernel_id": "80773245"}, {"ref": "juliankraus/spaceship-lgbm", "kernel_id": "80799979"}, {"ref": "juliankraus/spaceship-catboost", "kernel_id": "80456693"}, {"ref": "juliankraus/spaceship-randomforest", "kernel_id": "80025706"}, {"ref": "ashrafa7man/notebook972165ffef", "kernel_id": "80719644"}, {"ref": "maityritwik/tensorflow-spacehip-titanic", "kernel_id": "80668262"}, {"ref": "lilyonmyway/spaceship-titanic-competition", "kernel_id": "80963595"}, {"ref": "khaledielhwary/spaceshiptitanic", "kernel_id": "80843562"}, {"ref": "chinmaypandey62/beginner-friendly-easy-to-understand-notebook", "kernel_id": "80508674"}, {"ref": "abhin4vawasthi/beginner-friendly-detailed-analysis", "kernel_id": "80508690"}, {"ref": "abiabid/mission-rescue-2912-predicting-passenger-fate", "kernel_id": "80571634"}, {"ref": "mikezeng2009/spaceship-titanic", "kernel_id": "80096663"}, {"ref": "murillooliveiraaaa/desinteligentes-fmu", "kernel_id": "80947200"}, {"ref": "abinashbunty/notebook5c948ebeee", "kernel_id": "81474322"}, {"ref": "dhruv1234/spacetitanic-0-80313", "kernel_id": "81863610"}, {"ref": "aryansinha2003/81-accuracy-light-gbm", "kernel_id": "81242777"}, {"ref": "stmproduction/spaceship-titanic-0-793-accuracy", "kernel_id": "81708952"}, {"ref": "kaankaraolan/space-titanic", "kernel_id": "81913427"}, {"ref": "kauschik/spaceshiptitanic", "kernel_id": "81349881"}, {"ref": "parhamfarjam/titanic-spaceship", "kernel_id": "81229208"}, {"ref": "youken2739/ss-titanic-starter-nb", "kernel_id": "81961600"}, {"ref": "tholamtran/spaceship", "kernel_id": "81690408"}, {"ref": "juliankraus/spaceship-svm", "kernel_id": "81870479"}, {"ref": "khaledhassiba/spacetitanic-eda", "kernel_id": "81401088"}, {"ref": "khaledhassiba/spaceship-titanic-stacking", "kernel_id": "81158196"}, {"ref": "kumararin01/notebookaff9003800", "kernel_id": "81769225"}, {"ref": "treesonaplanet/spaceship-titanic-2-0-random-forests", "kernel_id": "81424008"}, {"ref": "treesonaplanet/spaceship-titanic-1-0", "kernel_id": "81353543"}, {"ref": "ethantlee/spaceship-titanic", "kernel_id": "81012957"}, {"ref": "super213/randomforest-gbdt-f1-0-77", "kernel_id": "81111330"}, {"ref": "edwinsoftwaredev/spaceship-titanic-mlp", "kernel_id": "81617283"}, {"ref": "mridulmahajan4/spaceship", "kernel_id": "81895908"}, {"ref": "satviksharma141204/spaceshiptitanic1", "kernel_id": "81897920"}, {"ref": "klaus1222/spaceshiptitanic12", "kernel_id": "81899698"}, {"ref": "skyrimml/spaceship-titanic-acc-0-789", "kernel_id": "81956999"}, {"ref": "stpeteishii/spaceship-titanic-keras-mlp-classifier", "kernel_id": "82656219"}, {"ref": "inbalagur/titanic-inbal-katz", "kernel_id": "82885090"}, {"ref": "saanvitayal07/htf-is-ti-null", "kernel_id": "82032961"}, {"ref": "bryceloui/brycelouifinal", "kernel_id": "82012153"}, {"ref": "gsmfnc/spaceship-titanic", "kernel_id": "82177308"}, {"ref": "munugotisairuthvik/space-titanic-ml-model", "kernel_id": "82254299"}, {"ref": "jesseportillo/spaceship-titanic-xgboost", "kernel_id": "82058311"}, {"ref": "ahyatha/spaceship-titanic-beginner", "kernel_id": "82609434"}, {"ref": "ouzhanakr/spaceship", "kernel_id": "82285626"}, {"ref": "ivanchang0290/space-ship", "kernel_id": "82927987"}, {"ref": "yuhoyan/spaceship-titanic-teamlunch", "kernel_id": "82379850"}, {"ref": "landonlc/landoncasstevensfinal", "kernel_id": "82010967"}, {"ref": "youken2739/ss-titanic-ver-5-0514", "kernel_id": "82536668"}, {"ref": "youken2739/ss-titanic-starter-nb-ver-3", "kernel_id": "82401357"}, {"ref": "youken2739/ss-titanic-ver-4-0509", "kernel_id": "82480224"}, {"ref": "youken2739/ss-titanic-starter-nb-ver-2-0507", "kernel_id": "82166601"}, {"ref": "jeongdeokkang/dsproject", "kernel_id": "82881398"}, {"ref": "shivamarora384/space-notebook", "kernel_id": "82465161"}, {"ref": "dprudhviraj/prudhvi-raj-dasari-final", "kernel_id": "82009701"}, {"ref": "kanumuriravivarma99/ravifinal", "kernel_id": "82009363"}, {"ref": "andreadiesto/basic-random-forest-model", "kernel_id": "82347099"}, {"ref": "yousefelsonbaty/spaceship-titanic", "kernel_id": "82516374"}, {"ref": "dhruvaapatel/titanic-solution", "kernel_id": "82403627"}, {"ref": "hridoyyahmed/stxgbdt", "kernel_id": "82892812"}, {"ref": "stanisawpruszek/titanic-challenge-solution", "kernel_id": "82424660"}, {"ref": "abdallahabdallahatef/spaceship-titanic", "kernel_id": "82912908"}, {"ref": "abdallahabdallahatef/spaceship-titanic-2", "kernel_id": "82961392"}, {"ref": "anshchauhan248/spaceship-titanic", "kernel_id": "82783336"}, {"ref": "juliankraus/spaceship-voting", "kernel_id": "82170105"}, {"ref": "christiangale/spaceship-titanic-using-catboost-score-0-80687", "kernel_id": "82778443"}, {"ref": "alieser1/m1-v1-1", "kernel_id": "82843659"}, {"ref": "vlasovartyom/space-titanic-ensembles", "kernel_id": "82487046"}, {"ref": "lele25811/spaceship-titanic", "kernel_id": "82176332"}, {"ref": "samrohrer/spaceship-titanic-bad-imputation", "kernel_id": "82278364"}, {"ref": "samyakshaha/spaceship-titanic-xgboost-pipeline", "kernel_id": "82485526"}, {"ref": "jaylagreen/jaylagreenfinal", "kernel_id": "82010084"}, {"ref": "mfideaytek/spaceship-titanic-random-forest", "kernel_id": "82693543"}, {"ref": "mehulchavan/space-titanic", "kernel_id": "82807869"}, {"ref": "jmt9454/townsendjake-final", "kernel_id": "82009283"}, {"ref": "benlaird1/benlairdfinal", "kernel_id": "82009243"}, {"ref": "timinsley/insley-final-spaceshiptitanic", "kernel_id": "82009624"}, {"ref": "loganbu/loganbunchfinal-spaceshiptitanic", "kernel_id": "82009842"}, {"ref": "rachpranay/pranay-final", "kernel_id": "82009317"}, {"ref": "leslieaguilarpiedra/leslie-aguilarpiedrafinal-spaceshiptitanic", "kernel_id": "82010809"}, {"ref": "priyankamadishetty/priyanka-final", "kernel_id": "82012177"}, {"ref": "joeymills/joeymillsfinal", "kernel_id": "82009349"}, {"ref": "nielco/spaceship-titanic-predict", "kernel_id": "82021056"}, {"ref": "williamebright/williamebrightfinal", "kernel_id": "82009337"}, {"ref": "shubhangisingh0077/spaceship-titanic-randomforest", "kernel_id": "82738552"}, {"ref": "shamimhasan8/spaceship-titanic-kaggle-competition-complete-guid", "kernel_id": "82548009"}, {"ref": "perrygonzalez/perry-gonzalez-inst-737-kaggle-competition-project", "kernel_id": "82379170"}, {"ref": "wiamghezala/spaceship-titanic-with-tfdf", "kernel_id": "82491150"}, {"ref": "devanshb26/spaceship-titanic-optuna-optimization-pipeline", "kernel_id": "83789271"}, {"ref": "stpeteishii/spaceship-titanic-rf-gb-hill-climb-ensemble", "kernel_id": "83861392"}, {"ref": "bepoetree/notebook8b451087ee", "kernel_id": "83361370"}, {"ref": "kakanom/spaceship-titanic-sample-notebook", "kernel_id": "83901311"}, {"ref": "aniketpotabatti/spaceship-titanic", "kernel_id": "83609626"}, {"ref": "lakshminarayananp15/spaceship-titanic-prediction-using-ml-models", "kernel_id": "83259425"}, {"ref": "joovitormg/xgboost-lightgbm", "kernel_id": "83389417"}, {"ref": "sarthak7005/a-complete-ml-pipeline-for-beginners", "kernel_id": "83018355"}, {"ref": "shrayanmandal/version-1", "kernel_id": "83083261"}, {"ref": "henry920106/spaceship-titanic-rf-ex", "kernel_id": "83650680"}, {"ref": "henry920106/spaceship-titanic-rf-nex", "kernel_id": "83913033"}, {"ref": "ivanchang0290/space-ship-mlp", "kernel_id": "83911903"}, {"ref": "ivanchang0290/space-ship-mlp-external", "kernel_id": "83910972"}, {"ref": "vladkuznetsov266/spaceship-titanic-sample-notebook", "kernel_id": "83761311"}, {"ref": "youken2739/ss-titanic-ver-8-0521", "kernel_id": "83283012"}, {"ref": "youken2739/ss-titanic-ver-9-0521", "kernel_id": "83339704"}, {"ref": "suedakazan/interstellar-passenger-prediction", "kernel_id": "83133736"}, {"ref": "yusufbatuhanalgl/randomforestclassification-titanic", "kernel_id": "83192574"}, {"ref": "giakhanhlvc/titanic-spaceship", "kernel_id": "83110030"}, {"ref": "divyansh0508/spaceship-titanic-transported-prediction", "kernel_id": "83864344"}, {"ref": "safin2907/space-titanic-transporter-identification-using-rfc", "kernel_id": "83677367"}, {"ref": "artycobw/notebook7fb0c97fe8", "kernel_id": "83119990"}, {"ref": "devrajsaini/spaceship-titanic", "kernel_id": "83063409"}, {"ref": "canozensoy/getting-started-spaceship-titanic", "kernel_id": "83146302"}, {"ref": "ayobamimike/spaceship-titanic-competition", "kernel_id": "83183188"}, {"ref": "helooohy/spaceship-titanic-random-forest", "kernel_id": "83857574"}, {"ref": "wasimansari786/titanic-spaceship", "kernel_id": "83872029"}, {"ref": "dyutidasmahaptra/advanced-eda-tutorial-for-spaceship-titanic", "kernel_id": "83398582"}, {"ref": "tashiib/surviving-the-spaceship-titanic", "kernel_id": "83485856"}, {"ref": "illybae/notebookd1035e19a1", "kernel_id": "83767012"}, {"ref": "danilerofeev/spaceship-titanic", "kernel_id": "83865646"}, {"ref": "santoryupredict/1-kaggle-score-0-80617", "kernel_id": "83008839"}, {"ref": "tyomashe/spacetitanic-gridsearch", "kernel_id": "83602712"}, {"ref": "zashidiqbal/final-titanic-space", "kernel_id": "83580855"}, {"ref": "seongwookim0119/notebook46e40d54c9", "kernel_id": "83345750"}, {"ref": "suyeonseong/notebook425c0cf12f", "kernel_id": "83726953"}, {"ref": "anairamcosta/spaceship-titanic-predicting-passenger-transport", "kernel_id": "84645318"}, {"ref": "nickolasdodd/aim111-categorical-data-exploration", "kernel_id": "84531690"}, {"ref": "matejkamenicky/spaceship-titanic-xgb-lgbm-svc", "kernel_id": "84232459"}, {"ref": "pradeeplachireddy/spaceship-titanic", "kernel_id": "84205949"}, {"ref": "recepgk/fundamental-random-forest-xgb-ensemble", "kernel_id": "84762845"}, {"ref": "nkek19/spacehip-titanic", "kernel_id": "84300309"}, {"ref": "mllion/electric-power-consumption-ml-models", "kernel_id": "84775905"}, {"ref": "vinayakvivekjoshi/spaceship-titanic", "kernel_id": "84966641"}, {"ref": "tripathiji1312/titanic-spaceship", "kernel_id": "84156900"}, {"ref": "abdulfetahadem/spaceship-titanic", "kernel_id": "84861180"}, {"ref": "shivams811/spaceship-titanic", "kernel_id": "84633583"}, {"ref": "tomy00/space-titanic", "kernel_id": "84781174"}, {"ref": "nikhileshsirohi/space-titanic-revise", "kernel_id": "84197677"}, {"ref": "haechanan/notebook341516fc5f", "kernel_id": "84284549"}, {"ref": "datascience228/spaceship-titanic-sample-notebook", "kernel_id": "84007482"}, {"ref": "sofyamedvedeva/spaceship-titanic-sample-notebook", "kernel_id": "84163334"}, {"ref": "antleeon/spaceship-titanic-sample-notebook", "kernel_id": "84177080"}, {"ref": "alizasaqib/spaceship-titanic-project-on-r", "kernel_id": "84881593"}, {"ref": "ogbad1/transported-tf", "kernel_id": "84867277"}, {"ref": "frager123/spaceship-titanic-extensive-eda", "kernel_id": "85602798"}, {"ref": "evgeniizorin/spaceship-titanic-prediction", "kernel_id": "85989014"}, {"ref": "federicopperez/spaceship-titanic", "kernel_id": "85245295"}, {"ref": "talhaberkanterbay1/spaceship-competition", "kernel_id": "85438398"}, {"ref": "priyanshu594/sptitanic-analysis", "kernel_id": "85282920"}, {"ref": "praneeel/spaceship-predictions", "kernel_id": "85824204"}, {"ref": "chaymaeeljabri/notebookb3594ceb51", "kernel_id": "85878011"}, {"ref": "recepgk/spaceship-titanic-comperhensive-eda", "kernel_id": "85279868"}, {"ref": "rindraadriansyah/hackathoncsb", "kernel_id": "85486454"}, {"ref": "salmanfaizhidayat/ml-hackathon-2025-with-cat-boost", "kernel_id": "85426851"}, {"ref": "tristanabiyudha/csa-ugm-4", "kernel_id": "85412486"}, {"ref": "elnazalikarami/spaceship-titanic", "kernel_id": "85895438"}, {"ref": "khwaishsaxena/spaceship-titanic-prediction", "kernel_id": "85548020"}, {"ref": "turakut/spaceship-titanic-comprehensive-eda-random-fore", "kernel_id": "85150222"}, {"ref": "amanyadav9808/notebook2de85b6721", "kernel_id": "85413478"}, {"ref": "saminintisar13/spacetitanic-predictor", "kernel_id": "85576645"}, {"ref": "colinheider/titanic-spaceship", "kernel_id": "85414113"}, {"ref": "manishbhatiaml/spaceship-titanic-prediction", "kernel_id": "85669277"}, {"ref": "ncsreza/notebook262a405fb7", "kernel_id": "85407673"}, {"ref": "kirkcorwin/spaceship-titanic-with-tfdf", "kernel_id": "85459567"}, {"ref": "mohamedzakaria91/notebookc579c6f922", "kernel_id": "85289246"}, {"ref": "singha07/spaceship-titanic", "kernel_id": "85502004"}, {"ref": "hzx158152/notebook76ec6c5657", "kernel_id": "85587759"}, {"ref": "a13425299025/notebookdfcd5ebc6f", "kernel_id": "85939338"}, {"ref": "xwc007/notebook18b46f592d", "kernel_id": "85618181"}, {"ref": "issaadibtissem/spaceship-titanic", "kernel_id": "85693828"}, {"ref": "maheenkhurshid/prediction-0", "kernel_id": "85113460"}, {"ref": "maheenkhurshid/prediction", "kernel_id": "85110050"}, {"ref": "sadiashahidlatif/spaceship", "kernel_id": "85121444"}, {"ref": "nauraranantyak/csb-ugm-1", "kernel_id": "85492194"}, {"ref": "maxmann7/fork-of-spaceship-study-v1-improve", "kernel_id": "85579551"}, {"ref": "hijabzahra8/spaceship", "kernel_id": "85848483"}, {"ref": "xiangli1986/space-titanic-and-the-people-who-have-been-saved", "kernel_id": "85652923"}, {"ref": "kaleemullahsyed/spaceship", "kernel_id": "85544147"}, {"ref": "manasyesuarthana/ml-hackathon-2025-with-cat-boost", "kernel_id": "85415296"}, {"ref": "gin1102/notebook2530f9b6d7", "kernel_id": "85939318"}, {"ref": "hsou31/notebook0d6113f83c", "kernel_id": "85940264"}, {"ref": "eiki2001/notebook951b637f89", "kernel_id": "85939838"}, {"ref": "somanishitani/notebookc416f5d731", "kernel_id": "85940387"}, {"ref": "ysotkm/notebook61cd1324b9", "kernel_id": "85506374"}, {"ref": "ttharukitt/notebook419272e950", "kernel_id": "85945459"}, {"ref": "chi0505/spaceship-datascience", "kernel_id": "85939886"}, {"ref": "fukukawayuu/notebook177c2c557a", "kernel_id": "85940691"}, {"ref": "saad010/spaceship", "kernel_id": "85892475"}, {"ref": "shrakesh/spaceship-titanic", "kernel_id": "86133341"}, {"ref": "kentshibata/spaceship-titanic-notebook", "kernel_id": "86488949"}, {"ref": "rithulsandeep/notebook8c2f4288f6", "kernel_id": "86278547"}, {"ref": "rishabh2007/spaceship-titanic-prediction", "kernel_id": "86027488"}, {"ref": "jimgruman/on-the-good-ship-lollipop", "kernel_id": "86739009"}, {"ref": "jahidhsn/spaceship-titanic", "kernel_id": "86713138"}, {"ref": "kwakubonsuwiredu/hyperparamter-tuning", "kernel_id": "86351350"}, {"ref": "kwakubonsuwiredu/best-spaceship-titanic", "kernel_id": "86346681"}, {"ref": "thuandao/spaceship-titanic-comprehensive-eda-ml", "kernel_id": "86810770"}, {"ref": "sezginkaraglle/spaceship-titanic-workshop", "kernel_id": "86338354"}, {"ref": "pohungliu/let-s-get-on-board-visualization-spaceship", "kernel_id": "86507346"}, {"ref": "mohibulhimu/spaceship-titanic-dataset-with-tensorflow-decision", "kernel_id": "86040723"}, {"ref": "yogeshbawankar/spaceship-titanic-begineer-to-grandmaster", "kernel_id": "86918754"}, {"ref": "yashpalthakor/spaceml-model", "kernel_id": "86836506"}, {"ref": "nguyenminhduy8888/week6-task3", "kernel_id": "86923175"}, {"ref": "ahmedfarazshaikh/spaceship-titanic-predictions", "kernel_id": "86782217"}, {"ref": "sepehrmasoudizad/xgboost-in-spaceship-titanic", "kernel_id": "86457278"}, {"ref": "amrorabea/spaceship-titanic-xgboost-lightgbm", "kernel_id": "86505033"}, {"ref": "bekimrexhepi/spaceship-titanic", "kernel_id": "86659125"}, {"ref": "htetgamer/fork-of-fast-ai-lesson5b-use-a-framework-htet", "kernel_id": "86968638"}, {"ref": "chagallamusinde/spaceship-titanic-rfc-classifier", "kernel_id": "86201962"}, {"ref": "le6ite/notebook5aecc079a4", "kernel_id": "86966066"}, {"ref": "gowtham1805/eda-spaceship-titanic", "kernel_id": "86444998"}, {"ref": "damonlindsay/spaceship-titanic-task-3-damon-lindsay", "kernel_id": "86960795"}, {"ref": "cheyennefurlong/task-3-train-predict-using-spaceship-titanic-data", "kernel_id": "86770003"}, {"ref": "reecekelly1/fork-of-cp3501-prac-6-task-3", "kernel_id": "86912673"}, {"ref": "caseysummers/fastai-lesson-5b-use-a-framework-casey-summers", "kernel_id": "86916014"}, {"ref": "aaronbailey20/practical-6-task-3", "kernel_id": "86977055"}, {"ref": "amitsahu01234/spaceship-titanic-predicting-transported-passenge", "kernel_id": "86276816"}, {"ref": "asrorxolmatov/spaceship-titanic-for-junior-score-0-79354", "kernel_id": "86041194"}, {"ref": "aviral2007/spaceship-titanic-dataset-eda", "kernel_id": "86343582"}, {"ref": "connorwhite1/prac6task3", "kernel_id": "86983280"}, {"ref": "dgutyjj/notebook76ec6c5657", "kernel_id": "86067461"}, {"ref": "dgutyjj/notebook4a123a0095", "kernel_id": "86078824"}, {"ref": "mirazul687/xgboost", "kernel_id": "86505190"}, {"ref": "dchehe/end-to-end-titanic-spaceship-survival-pred", "kernel_id": "86284477"}, {"ref": "dvcazo/mah-trying", "kernel_id": "86077476"}, {"ref": "bear8bear/spaceship-titanic", "kernel_id": "86935276"}, {"ref": "munalsingh/titanic-1", "kernel_id": "86451652"}, {"ref": "drelixer/eda-spaceship-titanic", "kernel_id": "86267490"}, {"ref": "afnaa26/spaceship-titanic", "kernel_id": "86126654"}, {"ref": "amirsadrnia/spaceship-titanic", "kernel_id": "86465172"}, {"ref": "joaofelipe181/notebook396b9c7c5a", "kernel_id": "86954572"}, {"ref": "hwnagsh/notebookb7a38f62bc", "kernel_id": "86857138"}, {"ref": "tzhang2024/notebooke265d02b17", "kernel_id": "86963629"}, {"ref": "liweichen1/notebook554d9d98ce", "kernel_id": "86768659"}, {"ref": "hr9000/cp3501-prac6-task3", "kernel_id": "86522916"}, {"ref": "westyy/week-6-task-3", "kernel_id": "86978557"}, {"ref": "donpianta/prac6-task-3", "kernel_id": "86980018"}, {"ref": "davidhunter12/cp3501-prac06-task03-spaceship-titanic", "kernel_id": "86970805"}, {"ref": "dylanjperkins/notebook460edd0df0", "kernel_id": "86979530"}, {"ref": "danielbrooks784/cp3501-prac-6-task-3", "kernel_id": "86922398"}, {"ref": "nexturn19/fastai-personal-training", "kernel_id": "86768304"}, {"ref": "kimdajin/notebook58eabf9fb5", "kernel_id": "86764234"}, {"ref": "kospintr/spaceship-feat-eng-svc-rfc-gbc-xgb-nn-ensemble", "kernel_id": "86383119"}, {"ref": "hanyuxiao25/fastai-lesson-5b-use-a-framework", "kernel_id": "86771729"}, {"ref": "jt2006/spaceship-titanic-eda", "kernel_id": "86266721"}, {"ref": "enesalan/spaceship-titanic-elite-ml-pipeline", "kernel_id": "86631573"}, {"ref": "liuchunhan/fastai-lesson-5-task-3", "kernel_id": "86969091"}, {"ref": "shamkumar1307/spaceship-titanic-competition", "kernel_id": "86938895"}, {"ref": "shogotoyoguchi/spaceship-titanic", "kernel_id": "86856813"}, {"ref": "moekhantzaw/prac06", "kernel_id": "86936205"}, {"ref": "luox11a/cp-3501-week6-task-2", "kernel_id": "86780464"}, {"ref": "alexiawin/notebookcff4e963c2-1", "kernel_id": "86767130"}, {"ref": "erdongxiao/week6-task3-spaceshiptitanicfastai-xiaoerdong", "kernel_id": "86769153"}, {"ref": "hugocui526/fastai-lesson-5b-use-a-framework-d4b65d-8bc89e", "kernel_id": "86846602"}, {"ref": "wangxi0219/notebook43e340e523", "kernel_id": "86768656"}, {"ref": "justinrf7/fork-of-notebookdfd2fc72f3", "kernel_id": "86914372"}, {"ref": "jakedodgson/prac-6-task-3", "kernel_id": "86768796"}, {"ref": "myatbhoneaung/task-3", "kernel_id": "86767388"}, {"ref": "liamwhiting/week6-task3", "kernel_id": "86766815"}, {"ref": "shijieshen668/notebook100d973e98-67e8ce", "kernel_id": "86870499"}, {"ref": "nndemo/fastai-lesson-5b-use-a-framework-d4b65d", "kernel_id": "86845926"}, {"ref": "stephenyamashita/week-6-task-3", "kernel_id": "86775112"}, {"ref": "paipeng1145/notebookf03fefbb22", "kernel_id": "86976345"}, {"ref": "loulou222/task3", "kernel_id": "86769915"}, {"ref": "weirdguy64/fork-of-notebookbcfbb1e0d1", "kernel_id": "86982875"}, {"ref": "zawlatt/spaceship", "kernel_id": "86942390"}, {"ref": "virusxix/spaceship", "kernel_id": "86978517"}, {"ref": "vanyqii/notebookd1a20ac44e", "kernel_id": "86764220"}, {"ref": "vanyqii/notebookba39d4d43c", "kernel_id": "86792714"}, {"ref": "yongdache/notebook8d4696ced6", "kernel_id": "86967489"}, {"ref": "tanyarastogi14/titanic-spaceship-eda", "kernel_id": "86418427"}, {"ref": "madisonbragg1/notebook08aaafda5e0c697c7da6", "kernel_id": "86768800"}, {"ref": "braedonross/prac-06-part-3", "kernel_id": "86979712"}, {"ref": "jacknortonlovett/task3-spaceship-titanic", "kernel_id": "86975174"}, {"ref": "seinlinn/notebookb7b0131bf3", "kernel_id": "86776438"}, {"ref": "jiahaixiong/notebook100d973e98", "kernel_id": "86768296"}, {"ref": "jiahaixiong/fastai-lesson-5b", "kernel_id": "86768373"}, {"ref": "tejasaisumukhtammana/titanic-dataset-eda-analysis", "kernel_id": "86268428"}, {"ref": "architranjan29/spaceship-titanic-rank-91-ml-code", "kernel_id": "86940131"}, {"ref": "fgnyanko/notebook9aca9388e0", "kernel_id": "86859048"}, {"ref": "sagakotton/notebook-lightgbm", "kernel_id": "86375793"}, {"ref": "sagakotton/notebook-randomforest", "kernel_id": "86857359"}, {"ref": "sagakotton/notebook-select", "kernel_id": "86927660"}, {"ref": "labpeace/datascience-groupwork", "kernel_id": "86382128"}, {"ref": "galaxyau18/notebook-space", "kernel_id": "86856499"}, {"ref": "ds0613/notebook47fa8ec013", "kernel_id": "86856662"}, {"ref": "keiichisuzuki/20250704-data-spaceti", "kernel_id": "86387083"}, {"ref": "hirokikushima/notebook6dcaef3d3c", "kernel_id": "86858655"}, {"ref": "kkiwii/notebook9088da8338", "kernel_id": "86858623"}, {"ref": "piiiiiiiman/notebookg3-c4-spaceship-titanic", "kernel_id": "86388449"}, {"ref": "somanishitani/nishitani-0711", "kernel_id": "86848115"}, {"ref": "ikeeee/notebook-data-science", "kernel_id": "86387564"}, {"ref": "hiyokonuko/spaceship", "kernel_id": "86933523"}, {"ref": "hiyokonuko/notebook318cd8efad", "kernel_id": "86936348"}, {"ref": "ryosuke6/nishimura-datascience-groupwork", "kernel_id": "86385578"}, {"ref": "yotanakashima/notebookac69fa2127", "kernel_id": "86858105"}, {"ref": "kosirohirose/notebook7a4eadda1a", "kernel_id": "86386611"}, {"ref": "ujiharadaisuke/spaceship-titanic", "kernel_id": "86385758"}, {"ref": "sahuraki/space-titanic-eda-advanced-feature-engineering", "kernel_id": "86711636"}, {"ref": "kyasarin3045/notebookd4fd7c9149", "kernel_id": "86384430"}, {"ref": "qishun/spaceship-titanic", "kernel_id": "86117069"}, {"ref": "moritahiromune/spaceship-titanic", "kernel_id": "86386134"}, {"ref": "tokushima111/notebookdeaa185351", "kernel_id": "86858059"}, {"ref": "miyasou8739/notebook3714f9d739", "kernel_id": "86386911"}, {"ref": "purinpurin/data-science", "kernel_id": "86506329"}, {"ref": "suzukinanami/spaceship-titanic", "kernel_id": "86858132"}, {"ref": "ysotkm/spaceship-titanic", "kernel_id": "86852543"}, {"ref": "kuwayuu00/notebook10c22ee47e", "kernel_id": "86493462"}, {"ref": "chisatoooooo/notebook67b84b1d78", "kernel_id": "86856478"}, {"ref": "yamabe570310/space-titanic-eda-advanced-feature-engineering", "kernel_id": "86857432"}, {"ref": "mdminhajhossain18/space-titanic-eda-advanced-feature-engineering", "kernel_id": "86857203"}, {"ref": "hirororu/datascience-akazawahiroto-6125360180", "kernel_id": "86385607"}, {"ref": "sakurako5/notebook6e8e44bfb8", "kernel_id": "86385676"}, {"ref": "syoshitomi08/notebookae3924b876", "kernel_id": "86384967"}, {"ref": "sokisoki/datascience-notebook1", "kernel_id": "86386100"}, {"ref": "koutaakiyama/notebookc44a8dcef1", "kernel_id": "86385871"}, {"ref": "tanakashinnosuke/notebook6de79cf962", "kernel_id": "86856484"}, {"ref": "ttharukitt/notebookb5504c9e36", "kernel_id": "86856996"}, {"ref": "chuuhuhuu/notebook3d1b69eecf", "kernel_id": "86440374"}, {"ref": "kosukeinubushi/notebookbc19cf6ef6", "kernel_id": "86380804"}, {"ref": "fujimikan/notebook90abe7e17a", "kernel_id": "86386579"}, {"ref": "jackdaniel5959/notebook4ed492295c", "kernel_id": "86386813"}, {"ref": "komu1014/notebook-spaceshiptitanic", "kernel_id": "86856543"}, {"ref": "sohahuss/notebookbc45ee0de3", "kernel_id": "86385801"}, {"ref": "yumanishimura0815/notebook2c60d5f05f", "kernel_id": "86389379"}, {"ref": "ryuseii0514/notebook334c10b66f", "kernel_id": "86387174"}, {"ref": "ryuseii0514/notebookf1a9d5252e", "kernel_id": "86387836"}, {"ref": "hibikigf88/spaceship-titanic-v1", "kernel_id": "86275870"}, {"ref": "wazima12thank/notebook3e11b4fe02", "kernel_id": "86386352"}, {"ref": "datacrackerrd/spaceship-eda", "kernel_id": "86418348"}, {"ref": "stpeteishii/spaceship-titanic-tabnet-baseline", "kernel_id": "87683376"}, {"ref": "cylik93/spaceship-titanic-comprehensive-eda", "kernel_id": "87830173"}, {"ref": "kirillkuznetsov/spaceship-titanic", "kernel_id": "87531762"}, {"ref": "devrimberkecanfindik/spaceship-titanic", "kernel_id": "87238427"}, {"ref": "amineipad/spaceshiptitanictest", "kernel_id": "87443136"}, {"ref": "nguyenminhduy8888/week7", "kernel_id": "87442879"}, {"ref": "nguyenminhduy8888/week7-prac", "kernel_id": "87443200"}, {"ref": "tirdadlajmouraki/titanic-spaceship-survival-prediction", "kernel_id": "87506573"}, {"ref": "tristanmb/spaceshiptitanic-tmb", "kernel_id": "87096920"}, {"ref": "htetgamer/fastai-lesson-6a-random-forests", "kernel_id": "87270473"}, {"ref": "htetgamer/spaceship-titanic-random-forests", "kernel_id": "87456135"}, {"ref": "damonlindsay/prac-7-task-2-damon-lindsay", "kernel_id": "87186947"}, {"ref": "sethgersbach/notebookdce0d43dff", "kernel_id": "87327118"}, {"ref": "alexsandrocosta/nave-titanic-competi-o", "kernel_id": "87484672"}, {"ref": "caesarliusiyi/fastai-lesson-6a-random-forests", "kernel_id": "87270696"}, {"ref": "jarrodeaton/notebook0e1f883a82task3", "kernel_id": "87272088"}, {"ref": "jarrodeaton/fastai-lesson-6a-random-forests", "kernel_id": "87452451"}, {"ref": "ccostarod/trabalho-ia-redes-neurais", "kernel_id": "87534767"}, {"ref": "sakshiii2004/spaceship-titanic-task-3", "kernel_id": "87253048"}, {"ref": "sakshiii2004/fastai-lesson-6-spaceship", "kernel_id": "87418797"}, {"ref": "caseysummers/fastai-lesson-6a-random-forests", "kernel_id": "87097493"}, {"ref": "marlen01/notebook0a15578530", "kernel_id": "87530280"}, {"ref": "marlen01/notebooka1e777cc00", "kernel_id": "87616286"}, {"ref": "soumikdey442/spaceship-titanic-notebook", "kernel_id": "87382410"}, {"ref": "patiencenjeri/fastai-lesson-6a-random-forests", "kernel_id": "87270806"}, {"ref": "tom21142/notebook0bd05e0a8a", "kernel_id": "87838888"}, {"ref": "selimo17/spaceship-titanic-challenge-salim", "kernel_id": "87688414"}, {"ref": "hwnagsh/fastai-lesson-6a-random-forests", "kernel_id": "87479389"}, {"ref": "tzhang2024/spaceship-rf-prac7", "kernel_id": "87273435"}, {"ref": "liweichen1/week7-prac", "kernel_id": "87462167"}, {"ref": "xiaoshirley/fastai-lesson-6a-random-forests", "kernel_id": "87259011"}, {"ref": "donpianta/notebooke5bdf8eeee", "kernel_id": "87456771"}, {"ref": "salvingeorgeau/s-g-spaceship-titanic", "kernel_id": "87520927"}, {"ref": "lukekaggleuni/cp3501-week-7-task-1", "kernel_id": "87452066"}, {"ref": "nexturn19/fastai-lesson-6a-random-forests", "kernel_id": "87259405"}, {"ref": "kimdajin/fastai-lesson-6a-random-forests", "kernel_id": "87254079"}, {"ref": "sithuzic/fastai-lesson-6a-random-forests", "kernel_id": "87264744"}, {"ref": "diegorossprice/spaceship-titanic", "kernel_id": "87738949"}, {"ref": "hanyuxiao25/fastai-lesson-6a-random-forests", "kernel_id": "87259499"}, {"ref": "mojahedabdo/fork-of-spaceship-titanic-with-tfdf", "kernel_id": "87469834"}, {"ref": "maohengliu/titanic-submission-0-2", "kernel_id": "87222852"}, {"ref": "liuchunhan/fastai-lesson-6a-random-forests", "kernel_id": "87260184"}, {"ref": "sshubhampal/spaceship-model", "kernel_id": "87878379"}, {"ref": "naingphonepyae/fastai-lesson-6a-random-forests", "kernel_id": "87259898"}, {"ref": "aidenlaurila/prac-6-task-2-aiden-laurila", "kernel_id": "87051079"}, {"ref": "zhanghanzhi1/fastai-lesson-6a-random-forests", "kernel_id": "87258112"}, {"ref": "xiangwang98/fastai-lesson-6a-random-forests", "kernel_id": "87270227"}, {"ref": "evachong/fastai-lesson-6a-random-forests", "kernel_id": "87254685"}, {"ref": "fsxplay/practical-6-task-3-spaceship-titanic-competition", "kernel_id": "87030727"}, {"ref": "fsxplay/fastai-lesson-6a-random-forests", "kernel_id": "87264681"}, {"ref": "fsxplay/practical-7-task-2-spaceship-titanic", "kernel_id": "87265270"}, {"ref": "panhsumyat/fastai-lesson-6a-random-forests", "kernel_id": "87264746"}, {"ref": "alexiawin/prac-7-task-2", "kernel_id": "87470357"}, {"ref": "heinaung018/fastai-lesson-6a-random-forests", "kernel_id": "87258865"}, {"ref": "jooogabriel/random-forest-prac-7", "kernel_id": "87253485"}, {"ref": "timothywatson7/fastai-lesson-6a-random-forests", "kernel_id": "87698671"}, {"ref": "timothywatson7/fastai-prac-6-task-3", "kernel_id": "87343523"}, {"ref": "myatbhoneaung/fastai-lesson-6a-random-forests", "kernel_id": "87257080"}, {"ref": "shijieshen668/fastai-lesson-6a-random-forests", "kernel_id": "87270639"}, {"ref": "nndemo/fastai-lesson-6a-random-forests", "kernel_id": "87264523"}, {"ref": "juninhochandra/fastai-lesson-6a-random-forests", "kernel_id": "87258944"}, {"ref": "yuangchong/fastai-lesson-6a-random-forests", "kernel_id": "87258701"}, {"ref": "estherineuwase/fastai-lesson-6a-random-forests", "kernel_id": "87769345"}, {"ref": "dong187/fastai-lesson-6a-random-forests", "kernel_id": "87264413"}, {"ref": "vanyqii/fastai-lesson-6a-random-forests", "kernel_id": "87257281"}, {"ref": "thunyantun/fastai-lesson-6a-random-forests", "kernel_id": "87265295"}, {"ref": "zhihaotang615/fastai-lesson-6a-random-forests", "kernel_id": "87265175"}, {"ref": "vincelinmaple126/fastai-lesson-6a-random-forests", "kernel_id": "87265593"}, {"ref": "jihunkim98/fastai-lesson-6a-random-forests", "kernel_id": "87267796"}, {"ref": "mannimmond/fastai-lesson-6a-random-forests", "kernel_id": "87264103"}, {"ref": "mojunzheng/fastai-lesson-6a-random-forests", "kernel_id": "87263482"}, {"ref": "liyunchen1515/fastai-lesson-6a-random-forests", "kernel_id": "87264619"}, {"ref": "kanyijie/fastai-lesson-6a-random-forests-91eee4", "kernel_id": "87263378"}, {"ref": "qiushihao123/fastai-lesson-6a-random-forests", "kernel_id": "87264775"}, {"ref": "armiahmeti/notebookcb5c8f344e", "kernel_id": "87410120"}, {"ref": "chenyuxuan38/fastai-lesson-6a-random-forests", "kernel_id": "87471432"}, {"ref": "wujiawei123/fastai-lesson-6a-random-forests", "kernel_id": "87442401"}, {"ref": "cnm11111/fastai-lesson-6a-random-forests", "kernel_id": "87283300"}, {"ref": "xuhuang1/fastai-lesson-6a-random-forests-134551", "kernel_id": "87269639"}, {"ref": "xuhuang1/fastai-lesson-6a-random-forests", "kernel_id": "87260441"}, {"ref": "fabianuchendu/notebooka858e156e1", "kernel_id": "87778574"}, {"ref": "nozomikugimiya/data-science-version2", "kernel_id": "87838049"}, {"ref": "nozomikugimiya/data-science", "kernel_id": "87837767"}, {"ref": "seinlinn/notebook871c46a069", "kernel_id": "87461897"}, {"ref": "sankarraina/notebook32fb78715f", "kernel_id": "87592454"}, {"ref": "jiahaixiong/sship-titn-rondom-tree", "kernel_id": "87262331"}, {"ref": "bennynee/fastai-lesson-6a-random-forests", "kernel_id": "87271219"}, {"ref": "ilhanseyhan/spaceship-titanic-prediction-model-with-lightgbm", "kernel_id": "87972932"}, {"ref": "mirage2266/dmitrykonovalov", "kernel_id": "87597403"}, {"ref": "papillon16/papillon0723", "kernel_id": "87697152"}, {"ref": "sagakotton/notebook-final", "kernel_id": "87264548"}, {"ref": "sagakotton/notebook-totalspend", "kernel_id": "87643880"}, {"ref": "keiichisuzuki/20250718-datas", "kernel_id": "87320406"}, {"ref": "keiichisuzuki/notebook6010007194", "kernel_id": "87838308"}, {"ref": "taisi003/notebookf14eef1392", "kernel_id": "87076047"}, {"ref": "iwasakazuma/notebooke28a084e13", "kernel_id": "87672490"}, {"ref": "piiiiiiiman/notebook6df7df4e64", "kernel_id": "87114689"}, {"ref": "piiiiiiiman/notebook-datescience-spaceship-titanic-g3c4", "kernel_id": "87336862"}, {"ref": "m2book/notebook4a972408b5", "kernel_id": "87838469"}, {"ref": "ikeeee/notebook5e632a70e2", "kernel_id": "87838311"}, {"ref": "ikeeee/notebookb65d2cd4a4", "kernel_id": "87840104"}, {"ref": "takashi4/notebook7746a5f49a", "kernel_id": "87335759"}, {"ref": "cucumber1231/spaceship-titanic", "kernel_id": "87336528"}, {"ref": "cucumber1231/notebook062223347d", "kernel_id": "87837806"}, {"ref": "hiyokonuko/spaceship-c4", "kernel_id": "87287140"}, {"ref": "kanetaniitsuki/notebookddb9514546", "kernel_id": "87838420"}, {"ref": "kanetaniitsuki/notebook7653626d1e", "kernel_id": "87336751"}, {"ref": "yotanakashima/notebook2c35fbd373", "kernel_id": "87337099"}, {"ref": "yotanakashima/spaceship-c4", "kernel_id": "87336747"}, {"ref": "kosirohirose/notebook31b5b1add5", "kernel_id": "87838364"}, {"ref": "chikaraoka/notebook15866ac51a", "kernel_id": "87335892"}, {"ref": "daichi2213/notebook01f4bff063", "kernel_id": "87837212"}, {"ref": "daichi2213/notebooke40dc7d84a", "kernel_id": "87336748"}, {"ref": "moritahiromune/notebook629db551ab", "kernel_id": "87829851"}, {"ref": "tokushima111/notebook9150fab692", "kernel_id": "87838495"}, {"ref": "hakane514/notebook-spaceshiptitanic-g3c4", "kernel_id": "87337030"}, {"ref": "suzukinanami/notebookc04487ab04", "kernel_id": "87681273"}, {"ref": "ysotkm/notebook3d31ea9c5d", "kernel_id": "87784559"}, {"ref": "hijk34/notebookd3a719c2e5", "kernel_id": "87447137"}, {"ref": "itkg2356/spaceship-titanic-c8", "kernel_id": "87283334"}, {"ref": "nakanoru77/spaceship-titanic-c8-nakano", "kernel_id": "87335957"}, {"ref": "chisatoooooo/notebook47fa8ec013", "kernel_id": "87837652"}, {"ref": "yamabe570310/space-titanic-eda-advanced-feature-engi-bb358f", "kernel_id": "87218956"}, {"ref": "mdminhajhossain18/space-titanic-eda-advanced-feature-engi-55c8be", "kernel_id": "87839482"}, {"ref": "keitaishiba4/ishibashi-0726", "kernel_id": "87868015"}, {"ref": "keitaishiba4/ishibashi-7-26", "kernel_id": "87876999"}, {"ref": "hanaokahitoshi/space-titanic-eda-advanced-feature-engi-d0d7a2", "kernel_id": "87335361"}, {"ref": "hanaokahitoshi/space-titanic-eda-advanced-feature-engi-54b5b7", "kernel_id": "87837701"}, {"ref": "tanakashinnosuke/notebook47fa8ec013", "kernel_id": "87792468"}, {"ref": "ikawaaaaa/notebook3da753beb9", "kernel_id": "87784560"}, {"ref": "nao0808/notebookce0860833a", "kernel_id": "87757565"}, {"ref": "takahata25/spaceship-titanic-b", "kernel_id": "87824692"}, {"ref": "takahata25/notebook87f23197be", "kernel_id": "87838277"}, {"ref": "koromizu/notebooke601ae7600", "kernel_id": "87335802"}, {"ref": "yusaku1109/notebook9ee4c545fd", "kernel_id": "87838449"}, {"ref": "komu1014/notebook-space-titanic-tatalspend", "kernel_id": "87837475"}, {"ref": "tokueekohei/notebook2e19b3befa", "kernel_id": "87336001"}, {"ref": "magomikuri/notebook38c7971c88", "kernel_id": "87833097"}, {"ref": "ryuseii0514/notebook64aa8ccb73", "kernel_id": "87838472"}, {"ref": "ryuseii0514/notebook5b160e4a62", "kernel_id": "87838765"}, {"ref": "hajime826/space-ship-titanic-fukasawahajime", "kernel_id": "87343551"}, {"ref": "takegami/notebookac69fa2127", "kernel_id": "87833810"}, {"ref": "takegami/spaceship-c4", "kernel_id": "87836787"}, {"ref": "nekketu920/space-titanic-eda-advanced-feature-engi-e8bdd1", "kernel_id": "87291273"}, {"ref": "masumotosae/notebookcc685de0d5", "kernel_id": "87840899"}, {"ref": "lucyzhangg/group-15-acc-690-research-project", "kernel_id": "87437901"}, {"ref": "kirandeepkaur25/spaceship-titanic-fastai", "kernel_id": "87255429"}, {"ref": "kishimanto/prac-7-task-1", "kernel_id": "87371317"}, {"ref": "suryakantprajapati4/notebookba1ddbc451", "kernel_id": "87601215"}, {"ref": "jaredcooke/prac6-task3", "kernel_id": "88665592"}, {"ref": "jaredcooke/prac7-task2", "kernel_id": "88669204"}, {"ref": "juanconher/spaceship-titanic-with-decision-trees", "kernel_id": "88195059"}, {"ref": "yuvrajdeshmukh/spaceship-titanic-using-cat-boost", "kernel_id": "88550037"}, {"ref": "kratipandya/titanic-spaceship", "kernel_id": "88871986"}, {"ref": "aritropal/spaceship-titanic", "kernel_id": "88499273"}, {"ref": "luckysinghal/notebook077dba8519", "kernel_id": "88959916"}, {"ref": "luckysinghal/notebookc4dbc2d6f5", "kernel_id": "88960057"}, {"ref": "dmitrenkoma/spaceship-titanic-catboost-gridsearchcv", "kernel_id": "88052932"}, {"ref": "fatimiya/titanic-space-ship-2912", "kernel_id": "88172642"}, {"ref": "satyam1vishwakarma/space-titanic", "kernel_id": "88386009"}, {"ref": "echonoshy/spaceship-titanic-analysis", "kernel_id": "88547237"}, {"ref": "mohammedkhaledamine/spaceship-titanic-classifier", "kernel_id": "88103967"}, {"ref": "dvcazo/scikit-learn-prediction-analysis", "kernel_id": "88497347"}, {"ref": "theallkeeeymist/spaceship-titanic", "kernel_id": "88167474"}, {"ref": "aryanshah26/spaceship-titanic", "kernel_id": "88298399"}, {"ref": "salvingeorgeau/notebookecb5d2a12d", "kernel_id": "88115972"}, {"ref": "antonglushko1/spaceship-titanic", "kernel_id": "88449392"}, {"ref": "celinags/navetitanic", "kernel_id": "88071124"}, {"ref": "riddhimaiti/machine-learning-with-eda-on-spaceship-titanic", "kernel_id": "88014893"}, {"ref": "estherineuwase/prac7-task", "kernel_id": "88108696"}, {"ref": "estherineuwase/task3-prac6", "kernel_id": "88042593"}, {"ref": "harshme3hta/spaceship-titanic-notebook", "kernel_id": "88726454"}, {"ref": "taka1459/space-titanic-eda-advanced-feature-engineering", "kernel_id": "88012459"}, {"ref": "kei3939/notebook9821252159", "kernel_id": "88035018"}, {"ref": "omnyama7moud/omnya-titanic", "kernel_id": "88001276"}, {"ref": "mohamedbastawi/bastawi-ts", "kernel_id": "89546909"}, {"ref": "harshdeepsinghhnspl/space-titanic", "kernel_id": "89047863"}, {"ref": "emrullahyediyildiz/spaceship-titanic", "kernel_id": "89498910"}, {"ref": "emrullahyediyildiz/spaceship-titanic-de", "kernel_id": "89500057"}, {"ref": "nessasarirchi/spaceship-titanic-smarter-oof-blend", "kernel_id": "89485832"}, {"ref": "nessasarirchi/notebook8a6f21dfa0", "kernel_id": "89481031"}, {"ref": "hyimang/spaceship-titanic", "kernel_id": "89473750"}, {"ref": "dorisxin/spaceship-titanic-ensemble-ml-solution", "kernel_id": "89145311"}, {"ref": "dorisxin/spaceship-titanic-advanced-solution-target-0-81", "kernel_id": "89278917"}, {"ref": "satyam1vishwakarma/space-titanic-deep-learning", "kernel_id": "89604854"}, {"ref": "adrinpineda/piotesseron-spaceship-1", "kernel_id": "89466609"}, {"ref": "mariamoheb/notebook656e90b81c", "kernel_id": "89902054"}, {"ref": "muhammadjamshaidkhan/spaceship-titanic", "kernel_id": "89064037"}, {"ref": "isaacgodsey/spacetitanic-cnn", "kernel_id": "89005407"}, {"ref": "kaustavroychowdhury/predicting-dimensional-transport-in-the-spaceship", "kernel_id": "89485309"}, {"ref": "ryqn00/spaceship-titanic", "kernel_id": "89417002"}, {"ref": "sainideeshk/spaceship-titanic-baseline-eda", "kernel_id": "89925674"}, {"ref": "srideviii/spaceship-titanic", "kernel_id": "89967604"}, {"ref": "zonoonjlalmelsadeg/spaceship-titanic", "kernel_id": "89586418"}, {"ref": "joeprob/spaceship-titanic-how-to-catboost", "kernel_id": "89172104"}, {"ref": "sumit12100012/space-titanic-predictions", "kernel_id": "89900618"}, {"ref": "sonuts/spaceship-titanic-using-decisiontree", "kernel_id": "89344302"}, {"ref": "mayasha01/spaceship-titanic-1", "kernel_id": "89378710"}, {"ref": "bekobeko145/sapceshiptitanic", "kernel_id": "89738515"}, {"ref": "goalmeida18/ccf726-gustavoalmeida", "kernel_id": "89937178"}, {"ref": "yuvrajdeshmukh/feature-engineering-on-spaceship-titanic", "kernel_id": "90107209"}, {"ref": "datatalesbyagos/galactic-titanic", "kernel_id": "90972501"}, {"ref": "mariamoheb/notebook3e294a09f0", "kernel_id": "90212506"}, {"ref": "aabdollahii/spaceship-titanic-competition", "kernel_id": "90233706"}, {"ref": "kserol/spaceship-titanic-by-almazium", "kernel_id": "90480080"}, {"ref": "nicklalou/space-titanic-nikos-laloutsos", "kernel_id": "90138540"}, {"ref": "alisalmanrana/space-titanic-eda-advanced-feature-engineering", "kernel_id": "90223932"}, {"ref": "jungwoo1208/spaceship-titanic", "kernel_id": "90076921"}, {"ref": "ifrahgul/space-ship", "kernel_id": "90357869"}, {"ref": "abdallahaboudrari/titanic-competition", "kernel_id": "90894310"}, {"ref": "cipher47/cipher-47-spaceshiptitanic", "kernel_id": "90588037"}, {"ref": "vietleds/spaceship-titanic", "kernel_id": "90578437"}, {"ref": "aerosolm/notebook80bd98946d", "kernel_id": "90882579"}, {"ref": "stpeteishii/space-titanic-ensemble-stacked-generalization", "kernel_id": "91904758"}, {"ref": "akshwint/spaceship-transported-classifiation", "kernel_id": "91442093"}, {"ref": "vivek7557/spaceship-titanic-prediction-v-2", "kernel_id": "91484603"}, {"ref": "shrutiishreyaa/spaceship-titanic", "kernel_id": "91837906"}, {"ref": "arunabhapani/titanic-space-initial-test-pred", "kernel_id": "91106663"}, {"ref": "blakebehrens/lab-no1", "kernel_id": "91333454"}, {"ref": "dhruvchotai/spaceship-titanic-competition", "kernel_id": "91081139"}, {"ref": "giteshmalikk/spaceship-titanic-with-tfdf", "kernel_id": "91408594"}, {"ref": "avi70687/day-5-6-random-forests-spaceship-titanic", "kernel_id": "91973213"}, {"ref": "sarazahran1/spaceship-titanic", "kernel_id": "91229876"}, {"ref": "e1ormiden/randomforestclassifier-v1", "kernel_id": "91898084"}, {"ref": "salahuddinbayassi/pushing-boosting-models-to-their-limits", "kernel_id": "91987316"}, {"ref": "salahuddinbayassi/space-titanic-lgbm", "kernel_id": "91968705"}, {"ref": "nirmalpatel02/spaceshiptitanic-0-8067score-biggnerfriendly", "kernel_id": "91565877"}, {"ref": "whyelement/alien-d", "kernel_id": "91713143"}, {"ref": "akarsh912/titanic-spaceship", "kernel_id": "91668493"}, {"ref": "zhumabek/notebook7f6adb3661", "kernel_id": "91828383"}, {"ref": "eznazzal/spaceship-titanic", "kernel_id": "92575469"}, {"ref": "aspicin/spaceship-titanic-simple-guide-for-begginers", "kernel_id": "92908781"}, {"ref": "conankuro/spaceship-titanic-with-xgboost-and-tfdf", "kernel_id": "92418282"}, {"ref": "adityaraj1212/notebooke7cdeaeee9", "kernel_id": "92438373"}, {"ref": "masumabdullah/spaceship-titanic", "kernel_id": "92448870"}, {"ref": "usmohamed/ml-titanic", "kernel_id": "92980702"}, {"ref": "benjaminlundkvist/simple-ensemble-xgb-lgb-catboost", "kernel_id": "92140818"}, {"ref": "saifmohamed7282/titanic-nn-final", "kernel_id": "92990620"}, {"ref": "saifmohamed7282/titanic-ml", "kernel_id": "92909552"}, {"ref": "abdelrahimabdelazim/notebookefb510889e", "kernel_id": "93235024"}, {"ref": "rickarendsen/spaceship-titanic", "kernel_id": "93685788"}, {"ref": "prakshitmathur/notebook3318f27a06", "kernel_id": "93285655"}, {"ref": "umeshkumarrai123/spaceship-titanic-project", "kernel_id": "93978901"}, {"ref": "tungdd2009/spaceship-titanic-xgboost", "kernel_id": "93858715"}, {"ref": "govind99999/spaceship-comp-submission", "kernel_id": "93874953"}, {"ref": "govind99999/notebookfbcf36990c", "kernel_id": "93876676"}, {"ref": "syung2/spaceship-titanic", "kernel_id": "93645402"}, {"ref": "khwahishseth/titanic-imp", "kernel_id": "93646299"}, {"ref": "miapatrikiosvols/spaceship-titanic-423-523", "kernel_id": "93204225"}, {"ref": "payalkarnavat/titanic-spacessss", "kernel_id": "93181322"}, {"ref": "murathaloglu/spaceship-titanic-script", "kernel_id": "93676532"}, {"ref": "soddalagurusai/spaceship-titanic", "kernel_id": "93498957"}, {"ref": "flaykaer/top-20-code-0-81201-leadeboard", "kernel_id": "94131950"}, {"ref": "seolbeom/spaceship-titanic", "kernel_id": "94831611"}, {"ref": "aaravdc/beginner-friendly-guide-to-spaceship-titanic", "kernel_id": "94931971"}, {"ref": "nailaluqyana/spaceship-titanic", "kernel_id": "94186592"}, {"ref": "shaheenafroz/feature-correlation-with-logisticregression", "kernel_id": "94932350"}, {"ref": "danishtalpur/spaceship-titanic-predictions", "kernel_id": "94675582"}, {"ref": "mohamedsaifullah/spaceship-saif", "kernel_id": "94089080"}, {"ref": "luckypatidar11145/spaceship-compititon", "kernel_id": "94088069"}, {"ref": "hmnshudhmn24/spaceship-titanic-competition-score-0-80617", "kernel_id": "94205470"}, {"ref": "sagsan/spaceship-titanic-from-scratch", "kernel_id": "94152988"}, {"ref": "kenanghost/passenger-predict", "kernel_id": "94514460"}, {"ref": "adrymm/spaceship-titanic-blending-ensemble-wip", "kernel_id": "94817119"}, {"ref": "hei3ujl/notebook58b17979da", "kernel_id": "94571535"}, {"ref": "malloy444/tyyyy-2133232", "kernel_id": "94126098"}, {"ref": "uzumi14/notebookc2c291d89f", "kernel_id": "94622334"}, {"ref": "pechenka0085/notebookcb71904c19", "kernel_id": "94089891"}, {"ref": "ateneya/spiceotsutstvuet", "kernel_id": "94097950"}, {"ref": "karthikkumarb2001/notebookb4b0453904", "kernel_id": "94586045"}, {"ref": "strekolovskiyroman/spaceship-roma", "kernel_id": "94450340"}, {"ref": "dogevich/notebook8d6aae7fcc", "kernel_id": "94574389"}, {"ref": "homer1774/spaceship-titanic", "kernel_id": "94811167"}, {"ref": "kjkamosika/spaceship-titanic-by-tabpfn", "kernel_id": "95796984"}, {"ref": "afrologicinsect/baseline-logistic-regression-accuracy-0-88", "kernel_id": "95730214"}, {"ref": "mminbaol/spaceship-titanic-predictions", "kernel_id": "95285442"}, {"ref": "tusharmandhyani/notebook509530ab8e", "kernel_id": "95837569"}, {"ref": "shreyashpatil217/spaceship-titanic-ensemble-classification-77-2", "kernel_id": "95601883"}, {"ref": "drewdeli/notebookce2991f668", "kernel_id": "95897766"}, {"ref": "dxeeeee/catboost", "kernel_id": "95398806"}, {"ref": "bishaladhikari07/spaceshiptitanic", "kernel_id": "95242918"}, {"ref": "denisochrimenko/spaceship-titanic-lab-1", "kernel_id": "95991390"}, {"ref": "red1t0mt/notebookb0ff786b34", "kernel_id": "95956637"}, {"ref": "tigermatsushita/space-titanic", "kernel_id": "95199735"}, {"ref": "chaykamaria114/lab1-titanik", "kernel_id": "95007559"}, {"ref": "hexagontal/spaceship-titanic-competition", "kernel_id": "95947895"}, {"ref": "aanyabagai/spaceship-titanic-predict-which-passengers", "kernel_id": "95613409"}, {"ref": "mst8823/spaceship-titanic-submission", "kernel_id": "96727266"}, {"ref": "kythhlwa/notebookdc6c5fa96a", "kernel_id": "96838087"}, {"ref": "hamzanaobahar/spacetitanic", "kernel_id": "96027960"}, {"ref": "rishabhkannaujiya/spaceship-titanic-notebook", "kernel_id": "96967589"}, {"ref": "tolgaozkul/spaceship-titanic-2-0", "kernel_id": "96816678"}, {"ref": "ajasmuhammed/notebookeea6480c53", "kernel_id": "96905059"}, {"ref": "aryanthakur7/spaceship-titanic", "kernel_id": "96686185"}, {"ref": "kunalkashyap29/spaceshiptitanic", "kernel_id": "96904807"}, {"ref": "ilyassaylk/spaceship-titanic", "kernel_id": "96110760"}, {"ref": "actoweed/vidyaev-3315", "kernel_id": "96414726"}, {"ref": "ayushghai123/spaceship-titanic", "kernel_id": "96887997"}, {"ref": "pchelka1234/lab-1", "kernel_id": "96632783"}, {"ref": "moxha4/lab1-titanic", "kernel_id": "96439142"}, {"ref": "pythoxb/titanic-spaceship", "kernel_id": "96254681"}, {"ref": "osmansevili/titanic-spaceship", "kernel_id": "96117405"}, {"ref": "pedromatelli/spaceship-titanic-adaptive-neural-evolution", "kernel_id": "96855594"}, {"ref": "miuranaoyuki/notebook736dda771a", "kernel_id": "96229715"}, {"ref": "kentarokujo/spaceship2-competition", "kernel_id": "96183493"}, {"ref": "djedai99/spaceeeee", "kernel_id": "96975142"}, {"ref": "alexanderromanoff/lb-1-spaceship-titanic", "kernel_id": "96867860"}, {"ref": "abdullo432432/notebook67753378a9", "kernel_id": "96345781"}, {"ref": "knuckles666666/spaceship-titanik", "kernel_id": "96358174"}, {"ref": "maxvitinsh/spaceship-titanic-attempt1", "kernel_id": "96838559"}, {"ref": "ravillan/trabalhopratico1", "kernel_id": "96129470"}, {"ref": "arkkiyel/titanic-spaceship", "kernel_id": "96467986"}, {"ref": "romkakuskin/3344-kuznetsov", "kernel_id": "96116214"}, {"ref": "nkvbkdvf/notebook58c656f103", "kernel_id": "96863425"}, {"ref": "artemochcka69/notebookf37044ec25", "kernel_id": "96815482"}, {"ref": "xsertiym/notebook83a8cc73f4", "kernel_id": "96857848"}, {"ref": "ishaanshh7/spaceship-titanic-chaos-to-classification", "kernel_id": "97412109"}, {"ref": "abirtiwari/notebook6c8ea5d878", "kernel_id": "97052671"}, {"ref": "gradmse/spaceship-titanic", "kernel_id": "97722899"}, {"ref": "heittorvaladares/spaceship-titanic-clean-baseline-with-robust-pre", "kernel_id": "97525335"}, {"ref": "braelynthayer/spaceship-titanic-submission", "kernel_id": "97406546"}, {"ref": "bibianabalcov/titanickaggle", "kernel_id": "97082904"}, {"ref": "p77091067/spaceship-titanic", "kernel_id": "98108293"}, {"ref": "atifkhan12/titanic-spaceship-ensemble-triple-threat", "kernel_id": "98579344"}, {"ref": "alamebarham/spaceship-titanic-super-understandable-edition", "kernel_id": "98577069"}, {"ref": "juandomingues/spaceship-titanic-juan-domingues", "kernel_id": "98464522"}, {"ref": "cjferba/xgb-1", "kernel_id": "99793409"}, {"ref": "ahmedhossam61/spaceship", "kernel_id": "99909906"}, {"ref": "reinaldyhutapea/12s22010-reinaldy-hutapea", "kernel_id": "99584301"}, {"ref": "zwhzhaowenhao/spaceship-titanic-with-tfdf02", "kernel_id": "99610698"}, {"ref": "mabelsitumorang/notebook23589ed9eb", "kernel_id": "99584248"}, {"ref": "userpdf/notebook1e106d57af", "kernel_id": "99714730"}, {"ref": "frankniroysiahaan/12s23016-frank-niroy-siahaan", "kernel_id": "99584279"}, {"ref": "zehradere19/spaceship-titanic-with-lightgbm", "kernel_id": "99981165"}, {"ref": "arifdoloksaribu/12s23026-arif-m-doloksaribu", "kernel_id": "99618092"}, {"ref": "juliuskaisar/12s23035-julius-sinaga", "kernel_id": "99584303"}, {"ref": "andikanadapdap/12s23013-andika-nadapdap", "kernel_id": "99584175"}, {"ref": "kevingultom/12s23001-kevingultom", "kernel_id": "99584191"}, {"ref": "afr1ste/afr1ste-s-answer-for-spaceship-titanic", "kernel_id": "99892317"}, {"ref": "namenotfound404/notebook1b1dac0cc7", "kernel_id": "99773853"}, {"ref": "zhuhaoyang/spaceship-titanic", "kernel_id": "99605614"}, {"ref": "alymohamedaly/space-titanic", "kernel_id": "100789880"}, {"ref": "cosheimil/1-feature-engineering", "kernel_id": "100438093"}, {"ref": "victorivnov/notebookaf765b6197", "kernel_id": "100043210"}, {"ref": "afifaf20/spaceship-titanic", "kernel_id": "100458478"}, {"ref": "alyatriswani/12s23038-alya-triswani", "kernel_id": "100950099"}, {"ref": "gracetiodora/12s23043", "kernel_id": "100346013"}, {"ref": "chintyareginauli/notebookf02737a1d9", "kernel_id": "100960315"}, {"ref": "graciapardede/12s23044", "kernel_id": "100990815"}, {"ref": "rachelsimorangkir/12s23020-rachel-simorangkir-3", "kernel_id": "100990904"}, {"ref": "jennifer047/12s23047-jennifer-sihotang", "kernel_id": "100934890"}, {"ref": "cardolansinaga/12s23006-cardolansinaga", "kernel_id": "100865507"}, {"ref": "tiffanirumiris/12s23010-tiffani-butar-butar", "kernel_id": "100722834"}, {"ref": "clarissnt/12s23049-clarissa-m", "kernel_id": "100959191"}, {"ref": "letitiacowell/spaceship-titanic-poor-viz-fails-on-feature-eng", "kernel_id": "100583717"}, {"ref": "earlynathali/12s23018-early-sembiring", "kernel_id": "100745526"}, {"ref": "dinamrlnn/12s23009-dina", "kernel_id": "100483668"}, {"ref": "carlmcbrideellis/spaceship-titanic-using-tabpfn-v2-2-1", "kernel_id": "101685097"}, {"ref": "mcubukluoz/spaceship-titanic-ml", "kernel_id": "101713780"}, {"ref": "jopelsimarmata/12s23036-jopel-simarmata", "kernel_id": "101292581"}, {"ref": "elasgustavoknaus/space-ship-titanic-an-econometric-and-ml-approach", "kernel_id": "101555323"}, {"ref": "sintonghutapea/12s23029-sintong-hutapea", "kernel_id": "101168246"}, {"ref": "galangdewangkara616/spaceship-titanic", "kernel_id": "101902066"}, {"ref": "walidamkor/lgbm-score-80-fe-with-pca-and-kmeans-imputer", "kernel_id": "101497669"}, {"ref": "lisbethpanjaitan/12s23041-lisbeth-elisabeth-panjaitan", "kernel_id": "101228756"}, {"ref": "kyrolleswageh/spaceship-titanic-eda-decision-tree", "kernel_id": "101825087"}, {"ref": "joysilalahi/12s23007-joy", "kernel_id": "101125679"}, {"ref": "amosraphaelmanurung/12s23027-amos-manurung", "kernel_id": "101137802"}, {"ref": "priscamanurung/12s23039-prisca-r", "kernel_id": "101198316"}, {"ref": "simorangkirjonathans/12s23030-simorangkirjonathan", "kernel_id": "101135845"}, {"ref": "thrsiaas/12s23051-theresia-silaban", "kernel_id": "101225301"}, {"ref": "sepriansiagian/12s23032-siagian-siagian", "kernel_id": "101178013"}, {"ref": "arichiveee/12s23034-pariama", "kernel_id": "101187845"}, {"ref": "alifaflahsuedi/12s23025-alifaflah", "kernel_id": "101133929"}, {"ref": "poppysibuea/12s23004-poppy-sibuea", "kernel_id": "101128497"}, {"ref": "genesispanjaitan/12s2312-genesis-panjaitan", "kernel_id": "101174228"}, {"ref": "yolandassaragih/12s23050-yolanda-saragih", "kernel_id": "101181039"}, {"ref": "anastasyashn/notebook2b7a1e6d23", "kernel_id": "101180166"}, {"ref": "eunikepurba/12s23021-eunike-purba", "kernel_id": "101120109"}, {"ref": "eunikepurba/12s23021-eunikepurba", "kernel_id": "101242430"}, {"ref": "dianamanurung/12s23040-dianamanurung", "kernel_id": "101189194"}, {"ref": "danielsitumorang1/notebook5fb023da8f", "kernel_id": "101440447"}, {"ref": "ariellaucsihombing/12s23005-ariella-u-c-s", "kernel_id": "101424094"}, {"ref": "ariellaucsihombing/12s23005-ariella-u-c-sihombing", "kernel_id": "101187655"}, {"ref": "lennihutapea/lenni-task", "kernel_id": "101201649"}, {"ref": "lennihutapea/notebookd7b188f3f1", "kernel_id": "101196690"}, {"ref": "lennihutapea/notebook8e28d9b9bf", "kernel_id": "101169658"}, {"ref": "santasitorus/12s23022-p-santa-sitorus", "kernel_id": "101424308"}, {"ref": "chrismansyahtsiahaan/12s23003-chrismansyah-t-siahaan", "kernel_id": "101186378"}, {"ref": "eskaaya/12s23024-eska-natasia-silaen", "kernel_id": "101306212"}, {"ref": "andreyjonathan/notebook84b976dc36", "kernel_id": "101376046"}, {"ref": "gracecaldera/12s23048-grace-s", "kernel_id": "101174646"}, {"ref": "gracecaldera/12s23048-grace-caldera", "kernel_id": "101464381"}, {"ref": "aldipanggabean/14s22035-aldi-g-pangabean", "kernel_id": "101441419"}, {"ref": "hianmonteiro/spaceship-titanic", "kernel_id": "101311012"}, {"ref": "lazarevaleksandr/titanic-comp-3315", "kernel_id": "101540797"}, {"ref": "earlynathali/early-n", "kernel_id": "101183352"}, {"ref": "earlynathali/earlysembiring-12s23018", "kernel_id": "101254110"}, {"ref": "prettymariapurba/12s23042-pretty-purba", "kernel_id": "101429025"}, {"ref": "dinamrlnn/12s23009-dina-marlina-siagian", "kernel_id": "101248537"}, {"ref": "pintauli/notebook0441dbfeee", "kernel_id": "101136990"}, {"ref": "oloanbonarnainggolan/12s23033-oloan-nainggolan", "kernel_id": "101177985"}, {"ref": "yasunorim/japanese-spaceship-titanic", "kernel_id": "102247156"}, {"ref": "yasunorim/learning-guide-with-visualizations", "kernel_id": "102249611"}, {"ref": "lilac07/experiment-navigator-gemini-adk-agent-tabular-data", "kernel_id": "102982449"}, {"ref": "sadmantahsin/data-science-project-tamuk", "kernel_id": "102734095"}, {"ref": "cosheimil/2-ensembles", "kernel_id": "102104552"}, {"ref": "cosheimil/3-boosting", "kernel_id": "102947676"}, {"ref": "umutcanetin/0-802-score-eda-optuna-ensembling-of-3", "kernel_id": "102449678"}, {"ref": "rahult25/spaceship-titanic", "kernel_id": "102473550"}, {"ref": "gamzebabayigit/spaceshiptt", "kernel_id": "102895757"}, {"ref": "eduardopane/spaceship-titanic", "kernel_id": "102232941"}, {"ref": "shurochka2025/notebook151d9a328d", "kernel_id": "102270441"}, {"ref": "mothstranger/2-ensembles", "kernel_id": "102261312"}, {"ref": "tvmilitary/spaceship-titanic-starter-baseline", "kernel_id": "102591685"}, {"ref": "shahidkhanlaghari/spaceship-titanic-with-tfdf", "kernel_id": "102848112"}, {"ref": "sevginurkara/titanic-spaceship-eda-feature-engineering", "kernel_id": "103160550"}, {"ref": "chillajagadesh/spaceship-titanic", "kernel_id": "103712344"}, {"ref": "marknghk/space-titanic-catboost", "kernel_id": "103333319"}, {"ref": "deepayanthakur/spaceship-survival-intelligence-notebook", "kernel_id": "103344075"}, {"ref": "edvinas23/spaceship-titanic-classification", "kernel_id": "103976067"}, {"ref": "shahd14/submission-csv", "kernel_id": "103704666"}, {"ref": "kaikit/spaceship-titanic", "kernel_id": "103148089"}, {"ref": "margaretkeu/spaceship-titantic-competition", "kernel_id": "103819813"}, {"ref": "danusha6/danait-notebook", "kernel_id": "103427991"}, {"ref": "actoweed/notebook4e0cb9956f", "kernel_id": "103596085"}, {"ref": "shreeyashah/spaceshiptitanicprediction", "kernel_id": "103353799"}, {"ref": "shubhamss159/featureengineered-catboost-model-score-0-80617", "kernel_id": "103709125"}, {"ref": "lisandrawilliams/notebook7c83f0eeb9", "kernel_id": "103706676"}, {"ref": "vyachhhh/notebook3547a5fc28", "kernel_id": "103637535"}, {"ref": "dhdjbzbs/notebooke2e48aeead", "kernel_id": "103310588"}, {"ref": "bineativenit/notebookee2d57cc46", "kernel_id": "103649364"}, {"ref": "nezarabdilahprakasa/mka-aip-ugm-1", "kernel_id": "104544114"}, {"ref": "krkaushikkumar1/spaceship-titanic", "kernel_id": "104288882"}, {"ref": "danilahnidko/spaceship-titanic-with-tfdf", "kernel_id": "104234880"}, {"ref": "nahcol/notebook3eab76086a", "kernel_id": "104833098"}, {"ref": "umairkhalil2002/spaceship-titanic", "kernel_id": "104597182"}, {"ref": "johnff09/submission-spaceship", "kernel_id": "104067866"}, {"ref": "shufanke/notebookf7a7a0c9f7", "kernel_id": "104775086"}, {"ref": "muskanperiwal8/spaceship-titanic-passenger-prediction", "kernel_id": "104593815"}, {"ref": "adityathakekar/spaceship-titanic", "kernel_id": "104397377"}, {"ref": "souvikdbiswas/spaceship-titanic-simple-way", "kernel_id": "104239657"}, {"ref": "pnuukr/spacetitanicml", "kernel_id": "104953489"}, {"ref": "n4ejla/spaceship-titanic-2", "kernel_id": "104655476"}, {"ref": "muhsinrumi/spaceship-titanic-with-tfdf", "kernel_id": "104654064"}, {"ref": "zilinlai000/spaceship-titanic", "kernel_id": "104515976"}, {"ref": "ferecico/titanic-ingenier-a-de-t-tulos-y-optimizaci-n-de-b", "kernel_id": "104896370"}, {"ref": "marcosperezesteban/spaceship-titanic-my-first-knn-classification", "kernel_id": "104570851"}, {"ref": "daanka/titanicspaceship", "kernel_id": "104679870"}, {"ref": "daanka/lmtask1", "kernel_id": "104669161"}, {"ref": "dascient/spaceship-titanic-max-outreach", "kernel_id": "105195861"}, {"ref": "harshsingh2209/lecture-2-3-4-data-prep-intro-to-dts-el", "kernel_id": "105967517"}, {"ref": "kseniakaravaeva/binar-bayes-classification", "kernel_id": "105479872"}, {"ref": "arnavde/spaceshiptitanic", "kernel_id": "105847271"}, {"ref": "aryandas29/spaceship-titanic-competition-model", "kernel_id": "105842025"}, {"ref": "brahimsefatamtrk/veri-seti-3-1", "kernel_id": "105500524"}, {"ref": "ahmetcanberkunal/no-free-lunch-pipeline-random-search-analysis", "kernel_id": "105460528"}, {"ref": "shufanke/notebook", "kernel_id": "105310351"}, {"ref": "ghoenix/h-ng-d-n-c-ba-n-b-ng-spaceship-titanic", "kernel_id": "105756146"}, {"ref": "nabeelqureshitiii/80-cvscorewithoutuningspaceship-titanic-perdiction", "kernel_id": "105774452"}, {"ref": "adityasajgotra/notebookc4543a5389", "kernel_id": "105079302"}, {"ref": "mohammadaribulhaq/1stcomp", "kernel_id": "105068670"}, {"ref": "harshakudumula/simple-eda-and-model-on-titanic-dataset", "kernel_id": "105983760"}, {"ref": "bountyjacklee/day-13-14-day-15-16", "kernel_id": "105681363"}, {"ref": "bountyjacklee/day17-robust-optimization-system-day19", "kernel_id": "105952544"}, {"ref": "samir95/lecture-1", "kernel_id": "106088051"}, {"ref": "samir95/lab-1", "kernel_id": "106089401"}, {"ref": "samir95/lecture-2", "kernel_id": "106894806"}, {"ref": "masanakashima/spaceship-titanic-solution", "kernel_id": "106306759"}, {"ref": "masanakashima/spaceship-titanic-ensemble-with-experts-insights", "kernel_id": "106383929"}, {"ref": "masanakashima/expert-social-science-risk-analysis-cv-0-80", "kernel_id": "106766750"}, {"ref": "catherinepereira/eda-spaceship-titanic", "kernel_id": "106071008"}, {"ref": "catherinepereira/v1-neural-net-spaceship-titanic", "kernel_id": "106120228"}, {"ref": "catherinepereira/v3-model-spaceship-titanic", "kernel_id": "106178242"}, {"ref": "catherinepereira/v2-model-spaceship-titanic", "kernel_id": "106176025"}, {"ref": "catherinepereira/random-forest-spaceship-titanic", "kernel_id": "106175264"}, {"ref": "catherinepereira/v4-model-new-eda-insights-spaceship-titanic", "kernel_id": "106348024"}, {"ref": "vivekumar001/spaceship-titanic", "kernel_id": "106472466"}, {"ref": "saurabhrajvarma/spaceship-titanic", "kernel_id": "106049528"}, {"ref": "raqeeb24/who-survive-the-space-titanic", "kernel_id": "106583775"}, {"ref": "hassanahmed234/notebook59c5f6760d", "kernel_id": "106224037"}, {"ref": "sunghakheo/notebookce8bdbe95e", "kernel_id": "106214734"}, {"ref": "harshitashibe24/spaceship-titanic-group-aware-catboost", "kernel_id": "106312639"}, {"ref": "virajsalunke19/spaceship-titanic", "kernel_id": "106710034"}, {"ref": "starmukesh/spaceship-ipynb", "kernel_id": "106138980"}, {"ref": "kalpvora/spaceship-titanic-v1-0", "kernel_id": "106077943"}, {"ref": "jeanjfernandes/spaceship-titanic-competition", "kernel_id": "106091144"}, {"ref": "mustafaaan/notebook5c1df5c0e1", "kernel_id": "106513960"}, {"ref": "chengrongsun/notebook0404becf36", "kernel_id": "106036983"}, {"ref": "slice3984/spaceship-titanic", "kernel_id": "106976125"}, {"ref": "sword4949/spaceship-titanic", "kernel_id": "107664439"}, {"ref": "danigarci1/eda-optuna-tuning-shap-model", "kernel_id": "107128066"}, {"ref": "melihemin/spaceship-competetion-0-77-svm", "kernel_id": "107864073"}, {"ref": "vishwabarade/spaceship-titanic-voting-knn-lightgbm-catboost", "kernel_id": "107110589"}, {"ref": "markosklonis/spaceship-titanic-analysis", "kernel_id": "107986884"}, {"ref": "kindasomethin/multi-model-prob-eda-ensemble-gbboost", "kernel_id": "107445879"}, {"ref": "avikdas567/spaceship-titanic", "kernel_id": "107958103"}, {"ref": "vedanshagarwal2007/spaceship-titanic-beginner-friendly-classification", "kernel_id": "107696184"}, {"ref": "akash3344/spaceship-titanic-with-tfdf", "kernel_id": "107119071"}, {"ref": "payaldhokane/spaceship-titatic-lgbmclassifier", "kernel_id": "107543410"}, {"ref": "payaldhokane/spaceship-titanic-lightgbm-catboost", "kernel_id": "107544063"}, {"ref": "payaldhokane/spaceship-titanic-cv-stacking", "kernel_id": "107545491"}, {"ref": "cccgxx/titanic-survival-prediction", "kernel_id": "107330354"}, {"ref": "edwardjohnwashins/spaceship", "kernel_id": "107198507"}, {"ref": "bhosaleatharv/classification-using-random-forest", "kernel_id": "107845518"}, {"ref": "harukiharada/top-16-3-model-ensemble-xgb-lgbm-cat", "kernel_id": "107897979"}, {"ref": "sumeakash/spaceship-titanic1", "kernel_id": "107803064"}, {"ref": "shimodng/notebook-shimodong", "kernel_id": "107109258"}, {"ref": "richardwoodward/spaceship-titanic", "kernel_id": "107259930"}, {"ref": "emreatabey/spaceship-eda-and-transport-prediction-model", "kernel_id": "107209004"}, {"ref": "vsharma182007/notebook-for-beginners-using-pipeline", "kernel_id": "107247396"}, {"ref": "leyu0228/notebook534b66f0b5", "kernel_id": "107794611"}, {"ref": "samir95/lecture-3", "kernel_id": "108394696"}, {"ref": "samir95/lecture-4", "kernel_id": "108839973"}, {"ref": "bkrrulez/simple-catboost-with-optuna-tune-acc-0-806", "kernel_id": "108464664"}, {"ref": "gaetanocasillo/spaceship-titanic-eda-submission", "kernel_id": "108446459"}, {"ref": "natsukihashimoto/ver-1", "kernel_id": "108727001"}, {"ref": "briankoske/titanic-eda-assignment", "kernel_id": "108036300"}, {"ref": "prthmptl/spaceship-titanic-random-forest-baseline", "kernel_id": "108463144"}, {"ref": "prthmptl/spaceship-titanic-random-forest-solution", "kernel_id": "108463376"}, {"ref": "takatophy/spaceship-titanic-complete-eda-baseline", "kernel_id": "108151537"}, {"ref": "reilllx/spaceship-titanic-with-pipelines-0-82", "kernel_id": "108832122"}, {"ref": "maulikrawat6/spaceship-titanic", "kernel_id": "108904697"}, {"ref": "divyapriya455/space-ship-titanic-ann", "kernel_id": "108625617"}, {"ref": "arslanrejepov/spaceship-titanic-classification", "kernel_id": "108829192"}, {"ref": "prathix1/notebooke2aea1e497e0c90f5bf8", "kernel_id": "108270684"}, {"ref": "kaysanislam/spaceship", "kernel_id": "108958303"}, {"ref": "joshi9/notebook2b018ab6ea", "kernel_id": "108320452"}, {"ref": "vdnguyen28/spaceship-1", "kernel_id": "108571780"}, {"ref": "sumeakash/cat-boost-speceship", "kernel_id": "108911198"}, {"ref": "beyzatopbas/spaceship-titanic", "kernel_id": "108277043"}, {"ref": "yahyakemaluybadin/titanic-spaceship", "kernel_id": "108998099"}, {"ref": "disjwba/titanik-space-ship", "kernel_id": "108962609"}, {"ref": "sametkrcan/spaceship-titanic-top-3-with-catboost-0-81248", "kernel_id": "108888283"}, {"ref": "rajatdev18/space-titanic-prediciton", "kernel_id": "108508702"}, {"ref": "hanhuizhang/spaceship-titanic-zhh", "kernel_id": "108753455"}, {"ref": "jaydenxie/spaceship-titanic-notebook-optimized", "kernel_id": "108670219"}, {"ref": "himanshu6834/eda-on-space-titanic", "kernel_id": "108264452"}, {"ref": "juliahy/spaceship-titanic-survival2", "kernel_id": "108664383"}, {"ref": "juliahy/spaceship-titanic-survival", "kernel_id": "108467473"}, {"ref": "yueyingwen/draft-3-11-2", "kernel_id": "108574018"}, {"ref": "duyutong2026/highest-spaceship", "kernel_id": "108739653"}, {"ref": "samir95/lecture-5", "kernel_id": "109448210"}, {"ref": "gokul0504/spaceship-titanic-prediction", "kernel_id": "109068311"}, {"ref": "eeisler/vizual", "kernel_id": "109218048"}, {"ref": "magnifier/notebookf1b9a72167", "kernel_id": "109525645"}, {"ref": "giakhanhlvc/lastest-code-for-spaceship-titanic", "kernel_id": "109364743"}, {"ref": "rhythmghai/spaceship-titanic-advanced-tfdf-model", "kernel_id": "109383241"}, {"ref": "mohamedhedi11/getting-to-know-kaggle", "kernel_id": "109133158"}, {"ref": "burakaltunda/spaceship-titanic-ipynb", "kernel_id": "109383825"}, {"ref": "enesyama/spaceshiptitanicclassification", "kernel_id": "109136668"}, {"ref": "meenalsinha/spaceship-titanic-notebook", "kernel_id": "109314487"}, {"ref": "kiza123123/spaceship-trinity-killshot-v15-5", "kernel_id": "109500160"}, {"ref": "kiza123123/spaceship-trinity-gpu-v15", "kernel_id": "109498663"}, {"ref": "kiza123123/spaceship-titanic-top-3-hunt-v15-4", "kernel_id": "109499821"}, {"ref": "kiza123123/trinity-ensemble-v19-0-80-cpu", "kernel_id": "109695313"}, {"ref": "kiza123123/trinity-ensemble-v19-diversity-over-pseudo-labels", "kernel_id": "109692686"}, {"ref": "kiza123123/spaceship-trinity-expert-final-v1", "kernel_id": "109649130"}, {"ref": "mailey4092/praktika7", "kernel_id": "109564519"}, {"ref": "woonjtang/woon-tang-titanic-spaceship-new", "kernel_id": "109341440"}, {"ref": "samir95/lecture-8", "kernel_id": "110903248"}, {"ref": "samir95/lecture-7", "kernel_id": "110146202"}, {"ref": "lorenzoscaturchio/spaceship-titanic-complete-ml-guide", "kernel_id": "110287715"}, {"ref": "avik090/spaceship-titanic-st1", "kernel_id": "110810670"}, {"ref": "aayushnayak/lecture-2-3-4-data-prep-intro-to-dts-el", "kernel_id": "110001409"}, {"ref": "ctrubinov/notebookff6d04dc94", "kernel_id": "110198237"}, {"ref": "ericemerich/spaceship-titanic-rfc-gradient-detailed-pt-br", "kernel_id": "110660062"}, {"ref": "sneharangole/spaceship-titanic-complete-machine-learning", "kernel_id": "110697565"}, {"ref": "hbistechie/spaceship-titanic-with-blending", "kernel_id": "110907695"}, {"ref": "bsthere/spaceship-titanic-0-82137-solution", "kernel_id": "110881355"}, {"ref": "alfetous/notebook", "kernel_id": "110247575"}, {"ref": "ctiori/spaceship-test", "kernel_id": "110628011"}, {"ref": "beyzatopbas/project-spaceship-titanic", "kernel_id": "110779313"}, {"ref": "anvikkk/titanic-spaceship-lgr", "kernel_id": "110927177"}, {"ref": "larkinkirill/practice7", "kernel_id": "110003273"}, {"ref": "kemaldemirba/spaceship-titanic-0-795-keras-neural-engine", "kernel_id": "110919735"}, {"ref": "themlspecialist/notebooka2b1182843", "kernel_id": "110151689"}, {"ref": "gab7kweop/notebook-solucao", "kernel_id": "110174904"}, {"ref": "mkaur1141/spaceship-titanic-with-carboost", "kernel_id": "111336873"}, {"ref": "itsyoursumit/spaceship-competition-v2", "kernel_id": "111848605"}, {"ref": "itsyoursumit/spaceship-titanic", "kernel_id": "111847467"}, {"ref": "harmesh095/spaceship-titanic-imputation-ensemble", "kernel_id": "111772645"}, {"ref": "michaelpjankov/spacetitanic", "kernel_id": "111386716"}, {"ref": "kevinbnisch/spaceship-titanic-prediction-autotabpfn-solution", "kernel_id": "111343569"}, {"ref": "shogomiyawaki/spaceship-titanic-2", "kernel_id": "111532335"}, {"ref": "omkarkashid1168/spaceship-titanic", "kernel_id": "111501219"}, {"ref": "assylzhankosbay/kosbayassylzhan-230183066-titanic", "kernel_id": "111726443"}, {"ref": "kulibayev/spaceking", "kernel_id": "111940341"}, {"ref": "makpalmukhanbetkali/asg5mambo", "kernel_id": "111908689"}, {"ref": "danialbekbol/assignment-5", "kernel_id": "111754744"}, {"ref": "aisultanzhakupbaev/spaceship-2", "kernel_id": "111738565"}, {"ref": "kengesnazerke/competion-spaceship-titanic-with-tfdf", "kernel_id": "111324115"}, {"ref": "xagdvhd/spaceship-titanic-lab-work", "kernel_id": "111297164"}, {"ref": "fayldz/notebook754637f01c", "kernel_id": "111778123"}, {"ref": "skotix69/notebook262fccec56", "kernel_id": "111479609"}, {"ref": "marcusthum/cp3501-prac-06-task-03-space-titanic", "kernel_id": "111232660"}, {"ref": "marcusthum/task-2-random-forest-spaceship-titanic", "kernel_id": "111973370"}, {"ref": "yaroslavkholmirzayev/titanic-with-numpy", "kernel_id": "111737859"}, {"ref": "yaroslavkholmirzayev/home-work-from-ilya-gridsearchcv", "kernel_id": "111897028"}, {"ref": "ssssws/spaceship-titanic-with-tfdf", "kernel_id": "111070557"}, {"ref": "shivanshcoding/0-821-solution-spaceship-titanic-using-lr", "kernel_id": "111633408"}, {"ref": "leiningtuan/spaceshiptitanic-avgblend-oofacc-th048", "kernel_id": "111831035"}, {"ref": "zumermalik/beyond-tabular-gat-visualizations", "kernel_id": "111717111"}, {"ref": "hosseinbadrnezhad/spaceship-titanic-catboost", "kernel_id": "111349863"}, {"ref": "jalesummak/spaceship-titanic-classification", "kernel_id": "111574066"}, {"ref": "zaikunzheng/notebookc94420f060", "kernel_id": "111879648"}, {"ref": "guanyulujcu/cp3501-week6-task3", "kernel_id": "111751186"}, {"ref": "haoyaoli/spaceship-titanic", "kernel_id": "111970947"}, {"ref": "emrezorlu1239/spaceship-competitions", "kernel_id": "111995137"}, {"ref": "ddesdenae/spaceship-titanic", "kernel_id": "111745686"}, {"ref": "woonjtang/spaceship-titanic-prediction", "kernel_id": "111221278"}, {"ref": "puzirekxehi/lab2-mo", "kernel_id": "112848341"}, {"ref": "johndreynolds/spaceship-titanic-data-health-features-baseline", "kernel_id": "112209089"}, {"ref": "maoozabdullah/voting-classifier-spaceship", "kernel_id": "112358268"}, {"ref": "rishanratha/notebookc5b761c6d2", "kernel_id": "112336306"}, {"ref": "nhatthiennguyen/task2-nhatthiennguyen", "kernel_id": "112235063"}, {"ref": "nhatthiennguyen/task-2", "kernel_id": "112788581"}, {"ref": "hammadulmustafa/spaceship-classification-pipeline-0-79-acc", "kernel_id": "112361253"}, {"ref": "ashishxrohit/spaceship", "kernel_id": "112736469"}, {"ref": "jerryzhongjc/notebook260321", "kernel_id": "112988571"}, {"ref": "eluriadarsh/spaceship-titanic-80-on-test-data", "kernel_id": "112323748"}, {"ref": "xuankailah/fastai-lesson-6a-random-forests", "kernel_id": "112850407"}, {"ref": "weiliangli3501/week6-task3", "kernel_id": "112184707"}, {"ref": "weiliangli3501/week7-task-1", "kernel_id": "112443893"}, {"ref": "zaikunzheng/fastai-lesson-6a-random-forests", "kernel_id": "112454013"}, {"ref": "zaikunzheng/notebook75a7c230ff", "kernel_id": "112611803"}, {"ref": "guanyulujcu/fastai-lesson-6a-random-forests", "kernel_id": "112449563"}, {"ref": "kennardlime/spacetitanic-machine-learner", "kernel_id": "112191231"}, {"ref": "linnn01/practical-6-task-3", "kernel_id": "112157878"}, {"ref": "bnbuyangsenming/notebookdad7a59d12", "kernel_id": "112985454"}, {"ref": "lifatsas/space-competition", "kernel_id": "112587568"}, {"ref": "charmy444/the-easiest-steps-to-0-80476-accuracy", "kernel_id": "112222448"}, {"ref": "bseven/autonomous-ml-experimentation-benchmark", "kernel_id": "113436924"}, {"ref": "shoybhasan/spaceship-titanic-xgboost", "kernel_id": "113903846"}, {"ref": "shoybhasan/spaceship-titanic-torch", "kernel_id": "113957331"}, {"ref": "jumbojuice/my-spacee", "kernel_id": "113170502"}, {"ref": "rishanratha/fastai-lesson-6a-random-forests", "kernel_id": "113130137"}, {"ref": "rishanratha/notebookf22f5eceb5", "kernel_id": "113130681"}, {"ref": "ebjdoe/spaceship-titanic-three-things-most-eda-misses", "kernel_id": "113042448"}, {"ref": "issac101/spaceship-phase-2", "kernel_id": "113965980"}, {"ref": "ridima2007/space-titanic", "kernel_id": "113523666"}, {"ref": "shamaislam/titanic", "kernel_id": "113220060"}, {"ref": "romnisarias/spaceship-titanic", "kernel_id": "113533378"}, {"ref": "jhnathan/space-titanic-prediction", "kernel_id": "113924427"}, {"ref": "brettrb/spaceship-titanic-testing", "kernel_id": "113934740"}, {"ref": "jjeremiahrichard/space-titanic-eda-project", "kernel_id": "113512744"}, {"ref": "guokimi/fastai-lesson-6a-random-forests-184eb3", "kernel_id": "113095174"}, {"ref": "kennardlime/spacetitanic-randomforestlearner", "kernel_id": "113115201"}, {"ref": "runzewang0622/fastai-lesson-6a-random-forests", "kernel_id": "113110651"}, {"ref": "winn0w/fastai-lesson-6a-random-forests", "kernel_id": "113120173"}, {"ref": "impremmohan/spaceship-titanic-dataset-with-tensorflow", "kernel_id": "113029435"}, {"ref": "ektarr/e2e-pipeline-optuna-and-stacking-spaceship", "kernel_id": "113440394"}, {"ref": "shotaromiyamoto/spaceship-titanic-0-80-score-technique", "kernel_id": "113216095"}, {"ref": "maiklukaszuk/spaceship-baseline-001", "kernel_id": "113374250"}, {"ref": "maiklukaszuk/spaceship-baseline-002-simple", "kernel_id": "113374390"}, {"ref": "maiklukaszuk/spaceship-baseline-004-dataset-fixed", "kernel_id": "113377074"}, {"ref": "ameythakur20/spaceship-titanic-master-prediction", "kernel_id": "114433536"}, {"ref": "flameblade05/spaceship-competition-notebook", "kernel_id": "114370585"}, {"ref": "prajinsingh/spaceship-titanic-with-random-forest", "kernel_id": "114688690"}, {"ref": "ishitabahamnia/spaceship-titanic-756ad0d610", "kernel_id": "114645525"}, {"ref": "nallibnazareno/spaceship-titanic", "kernel_id": "114715636"}, {"ref": "harryyycheung/spaceship-titanic-prediction", "kernel_id": "114968704"}, {"ref": "lucalullo/spaceship-titanic", "kernel_id": "114769989"}, {"ref": "azedgray/notebook252aba6b48", "kernel_id": "114274223"}, {"ref": "kadenturner/kaggle-challenge-prediction", "kernel_id": "114108898"}, {"ref": "howardhuang791/space-titanic", "kernel_id": "114015271"}, {"ref": "ryank007/spaceship-titanic-kaggle-challenge", "kernel_id": "114118881"}, {"ref": "ramazanulus/spaceship-titanic", "kernel_id": "114120777"}, {"ref": "chaeyeoungkim/notebook98eb0217bb", "kernel_id": "114573652"}, {"ref": "hkmk0515/spaceship-titanic-2022810009", "kernel_id": "114285583"}, {"ref": "dldbsgod/spaceshiptitanic", "kernel_id": "114645837"}, {"ref": "ohhyeseong03/spaceshiptitanic", "kernel_id": "114236803"}, {"ref": "kimganghyun0202/spaceship-titanic-task", "kernel_id": "114575650"}, {"ref": "jeontaeyoung/starship-competition", "kernel_id": "114667498"}, {"ref": "ch101634/9th-task", "kernel_id": "114257542"}, {"ref": "yu0seo/notebookf7f34bcbd2", "kernel_id": "114462295"}, {"ref": "znlc09/2022810051-9", "kernel_id": "114454122"}, {"ref": "jungjoungbae/9-assignment-spaceship-titanic", "kernel_id": "114277418"}, {"ref": "jinjoonkim/spaceship-titanic", "kernel_id": "114675994"}, {"ref": "wonyeop03/spaceship-titanic", "kernel_id": "114543786"}, {"ref": "hyunji0404/spaceship-titanic", "kernel_id": "114662652"}, {"ref": "youejin/9th-task", "kernel_id": "114597553"}, {"ref": "sawon0418/kagggg", "kernel_id": "114682875"}, {"ref": "wooseoye0n/notebooke463adf123", "kernel_id": "114676884"}, {"ref": "choiglyeon/notebookd21394e17c", "kernel_id": "114276675"}, {"ref": "dayuni0708/space-titanic", "kernel_id": "114542917"}, {"ref": "persona5r/spaceship-titanic-sub", "kernel_id": "114286381"}, {"ref": "uue726/spaceship", "kernel_id": "114673691"}, {"ref": "haeunkim1225/haeun-kim-9th-assignment", "kernel_id": "114650656"}, {"ref": "tkdwns2342/notebooka342cc3355", "kernel_id": "114576122"}, {"ref": "jangwonw00/notebook0448acc510", "kernel_id": "114642434"}, {"ref": "hhww4953/ttnic", "kernel_id": "114558879"}, {"ref": "d03020522/2023500003-9", "kernel_id": "114687502"}, {"ref": "danielfealf/spaceshiptitanic", "kernel_id": "114768686"}, {"ref": "chukwudimmachukwu/mini-project-2", "kernel_id": "115368980"}, {"ref": "ukamakambakwe/notebook1d8575cb83", "kernel_id": "115407019"}, {"ref": "busariaminat/busari-aminat-mini-project-2", "kernel_id": "115351193"}, {"ref": "junaid512/spaceship-titanic", "kernel_id": "115943509"}, {"ref": "maedehizadi/titanic-spaceship", "kernel_id": "115132800"}, {"ref": "wayne931121/logistic-regression-gradient-descent", "kernel_id": "115958237"}, {"ref": "onosebraimah/titanic-prediction", "kernel_id": "115216105"}, {"ref": "shahzaibali01/spaceship-titanic-9-models-79-77-accuracy", "kernel_id": "115451249"}, {"ref": "eneogbodo/ogbodo-ene-victoria-mini-project-ii", "kernel_id": "115383063"}, {"ref": "skafind/titanic", "kernel_id": "115562824"}, {"ref": "oluwafikunayomi/machine-learning-with-spaceship-titanic", "kernel_id": "115018585"}, {"ref": "promiseonyemauche/fork-of-promise-onyemauche-spaceship-titani-1aa220", "kernel_id": "115441889"}, {"ref": "ameenahkopada/kaggle-spaceship-titanic-competion", "kernel_id": "115376907"}, {"ref": "blessingisabella/mini-project-2", "kernel_id": "115279367"}, {"ref": "mheenexyakpan/mmenyeneabasi-akpan-titanic", "kernel_id": "115217476"}, {"ref": "madhukarjeedi/spaceship-titanic-done", "kernel_id": "115870492"}, {"ref": "tudorbeloiu/xgboost-feature-engineering", "kernel_id": "115154461"}, {"ref": "nithinasi/notebookf6a7a58435", "kernel_id": "115913966"}, {"ref": "toluwanimisonuga/fork-of-project2", "kernel_id": "115432534"}, {"ref": "toluwanimisonuga/project2", "kernel_id": "115068338"}, {"ref": "aleemmuinat/notebook1e0af1d5e1", "kernel_id": "115134385"}, {"ref": "onabanjokofoworola/mini-project", "kernel_id": "115433253"}, {"ref": "jomiloju23/mini-project-2-amodu-oluwatoyin", "kernel_id": "115308180"}, {"ref": "noiraemmanuel/faithemmanuel-project2", "kernel_id": "115379448"}, {"ref": "firror/spaceship-titanic-with-tfdf", "kernel_id": "115869881"}, {"ref": "mukade0322/notebook9735b4f280", "kernel_id": "115522251"}, {"ref": "milindrb/spaceshipclassification", "kernel_id": "116524320"}, {"ref": "marioaperez/spaceship-titanic-xgboost-bayesian-optimization", "kernel_id": "116361531"}, {"ref": "earlpeterjg/spaceship-titanic-using-gradient-boosting", "kernel_id": "116060889"}, {"ref": "wayne931121/never-gonna-give-you-up", "kernel_id": "116171647"}, {"ref": "tugcebasyigit/spaceship-titanic-classification", "kernel_id": "116082575"}, {"ref": "sonalshinde123/spaceship-titanic", "kernel_id": "116419703"}, {"ref": "lakshya3690/notebook6ce06e730c", "kernel_id": "116191537"}, {"ref": "karanbhatia01/simple-explanation-cod", "kernel_id": "116082914"}, {"ref": "lokeshpuma/spaceship-titanic", "kernel_id": "116515476"}, {"ref": "libbywes/data-in-another-dimension", "kernel_id": "116541285"}, {"ref": "zhihengyang2/spaceship-titanic-baseline-solution", "kernel_id": "116249597"}, {"ref": "jek1wantaufik/spaceship-titanic-survival-prediction-model", "kernel_id": "116733946"}, {"ref": "fikrinaufalhakim/bagian-iii-dt-rf", "kernel_id": "116910320"}, {"ref": "fikrinaufalhakim/notebookc2b63eb764", "kernel_id": "116908372"}, {"ref": "pilkwang/beginner-eda-to-clean-cv-gpu-catboost", "kernel_id": "117489832"}, {"ref": "jake666/spaceship-titanic-predicting-passenger-transport", "kernel_id": "117650547"}, {"ref": "cleall/spaceship-titanic-nb-sub-rfc", "kernel_id": "117822983"}, {"ref": "zidanarsyad/spaceship-titanic", "kernel_id": "117909293"}, {"ref": "arju7542/spaceship-titanic-deep-learning-naive-level", "kernel_id": "117545714"}, {"ref": "tevoshw/spaceship-titanic-eda", "kernel_id": "117291850"}, {"ref": "tevoshw/spaceship-titanic-model", "kernel_id": "117291981"}, {"ref": "mnbagh/lr-gb-xgb-with81accuracy", "kernel_id": "118996085"}, {"ref": "timelesspursuer/spaceship-titanic-with-tfdf", "kernel_id": "118627776"}, {"ref": "sudhanshu1st/spaceship-titanic-eda-tutorial", "kernel_id": "118793646"}, {"ref": "anasriaz/spaceship-titanic", "kernel_id": "118478895"}, {"ref": "bobbyrahmanhartanto/bobby-ganteng-frist-time", "kernel_id": "118224079"}, {"ref": "honeyisro/sample-submissions", "kernel_id": "118347644"}, {"ref": "shiva22btcse0007/spaceship-titanic", "kernel_id": "118807471"}, {"ref": "taedubb/spaceship-titanic-with-tfdf-7eb1f3", "kernel_id": "118314213"}, {"ref": "shubhanker1909/titanic-spaceship", "kernel_id": "118216147"}, {"ref": "rasulbekqadamboyev/spaceship-titanic-xgboots", "kernel_id": "118625657"}, {"ref": "athaurumsah/notebook-spaceship-titanic", "kernel_id": "118794754"}, {"ref": "mdmuftihabib/spaceship-titanic", "kernel_id": "118882298"}, {"ref": "keitakawabata/spaceship-titanic", "kernel_id": "118807120"}, {"ref": "kukuhagushermawan/attempt1", "kernel_id": "118806703"}, {"ref": "moralesgomez/spaceship-titanic-classifier-ensemble", "kernel_id": "118764226"}, {"ref": "basaktamer/spaceship-titanic-eda-feature-engineering", "kernel_id": "118896465"}, {"ref": "dkoerl/fork-of-notebook-spaceship-of-tt", "kernel_id": "118251273"}, {"ref": "wanzohar/notebookb00925381a", "kernel_id": "118221905"}, {"ref": "millie1234/notebook0514", "kernel_id": "118105650"}, {"ref": "pdiogo014/notebookf495105c48", "kernel_id": "118312954"}, {"ref": "berkkarata/spacesh-p-t-tan-c", "kernel_id": "119350435"}, {"ref": "amryasswe/competition-modeler-badge", "kernel_id": "119955308"}, {"ref": "amanatar/spaceship-titanic-signal-rich-catboost-fold", "kernel_id": "119733577"}, {"ref": "christianojoseintoro/csa-ugm-04", "kernel_id": "119870297"}, {"ref": "estheradewale/space-ship-titanic-fb", "kernel_id": "119810746"}, {"ref": "rishiankathi/titanic-spaceship-passenger-status-prediction", "kernel_id": "119372772"}, {"ref": "shuyaohuroxane/my-spaceship-titanic", "kernel_id": "119582401"}, {"ref": "neromerumeru/final-highest-score-submission", "kernel_id": "119907511"}, {"ref": "ritazzzzz/titanic-neural-network", "kernel_id": "119249339"}, {"ref": "igorkolodziej/mamut-auditable-spaceship-titanic-baseline", "kernel_id": "120544199"}, {"ref": "evgendvorkin/feature-engineering-and-model-stacking-lb-0-80734", "kernel_id": "120741150"}, {"ref": "mdabdulalhasib/cat-boost-solution-using-eda", "kernel_id": "120535889"}, {"ref": "m3nd0z4/spaceship-titanic", "kernel_id": "120274076"}, {"ref": "xinghe0124/spaceship-titanic-notebook", "kernel_id": "120988164"}, {"ref": "krishsharma36907/notebook7772ad6fda", "kernel_id": "120273373"}, {"ref": "songyiray/machine-learning", "kernel_id": "120714667"}, {"ref": "s1drtx/eda-dashboards-spaceship", "kernel_id": "120536624"}, {"ref": "mickyama/spaceship-titanic-0527", "kernel_id": "120697142"}, {"ref": "alex5223/spaceship-titanic", "kernel_id": "120332908"}, {"ref": "carloshuamanipinto/notebook44c06b57ad", "kernel_id": "120153392"}, {"ref": "raoabdulhadi/spaceship-titanic-eda-study", "kernel_id": "121174926"}, {"ref": "lishachaudhari/spaceship-titanic-eda-fe-catboost", "kernel_id": "121502979"}, {"ref": "hamzanaobahar/simple-data-cleaning", "kernel_id": "121607103"}, {"ref": "eileen112304032/simple-lightgbm-baseline", "kernel_id": "121167129"}, {"ref": "abhineetsahay/spaceship-transported", "kernel_id": "121706801"}, {"ref": "guoz112/spaceship-titanic", "kernel_id": "121956771"}, {"ref": "whr0410/notebookf8ce4899d8", "kernel_id": "121826098"}, {"ref": "nimolee/250607homework1-2", "kernel_id": "121978049"}, {"ref": "nimolee/260607homework1-1", "kernel_id": "121974289"}, {"ref": "yk120951/notebook3381a449c9", "kernel_id": "121985054"}, {"ref": "asdfghjklbelinda/notebook2ae7be0f44", "kernel_id": "121494789"}, {"ref": "yehhua001/notebookc6213022f1", "kernel_id": "121918444"}, {"ref": "tugjbm5/eda-mlss", "kernel_id": "121354491"}, {"ref": "tamannabal/spaceship-titanic", "kernel_id": "121274508"}, {"ref": "datawithusman/spaceship-titanic-complete-analysis", "kernel_id": "121664723"}, {"ref": "songyiray/bestsolution", "kernel_id": "121172780"}, {"ref": "davidcorraless/mr-poopy-pants-notebook", "kernel_id": "121836628"}, {"ref": "rajamanogaran/notebookda2dd0d425", "kernel_id": "122341492"}, {"ref": "llkerkeser/sapceship-titanic-002-ilkerkeser", "kernel_id": "122328379"}, {"ref": "joshuanguyenolson/spaceship-titanic", "kernel_id": "122120746"}, {"ref": "joshuanguyenolson/spaceship-titanic-tensorflow-decision-forests", "kernel_id": "122117878"}, {"ref": "aakcodebreaker/decision-tree-classification-from-scratch", "kernel_id": "122864544"}, {"ref": "vaishalisreejith/spaceship-titanic-baseline-to-boosted", "kernel_id": "122677799"}, {"ref": "skotix69/notebook14b5dcef3d", "kernel_id": "122634635"}, {"ref": "joeklinck/notebook45f98bcf5c", "kernel_id": "122688657"}, {"ref": "signullvoidfound/spaceship-titanic-full-pipeline", "kernel_id": "122837521"}, {"ref": "mhskaya/spaceship-titanic-classification", "kernel_id": "122100044"}, {"ref": "prantamohajan/notebookfa9f67eb2f", "kernel_id": "122718665"}, {"ref": "doranring/dranringspace", "kernel_id": "122112738"}, {"ref": "mahidihasanmithun/spaceship-titanic", "kernel_id": "123371937"}, {"ref": "nishantdiwate/spaceship-titanic-eda-feature-engineering", "kernel_id": "123781981"}, {"ref": "warunimanike/simple-lgbmclassifier-model-guide", "kernel_id": "123414754"}, {"ref": "phakphoomwongchaiya/space-titanic", "kernel_id": "123479652"}, {"ref": "estevao98797/spaceship-titanic-data-mining-project", "kernel_id": "123271524"}, {"ref": "leahgibbons/spaceship-titanic-competition-entry", "kernel_id": "123165229"}, {"ref": "nathnael6/notebooka387afd17f", "kernel_id": "123476685"}, {"ref": "nathnael6/notebook7958add95d", "kernel_id": "123475186"}, {"ref": "nathnael6/notebookc00ddf0e64", "kernel_id": "123473854"}, {"ref": "nathnael6/notebookfd7f721f36", "kernel_id": "123467940"}, {"ref": "adithijahnavi/agentic-data-science-on-spaceship-titanic-dataset", "kernel_id": "123901768"}, {"ref": "younghoocheon/fastai-lesson-5b-use-a-framework", "kernel_id": "123212912"}, {"ref": "younghoocheon/fastai-lesson-5-linear-model-and-neural-net", "kernel_id": "123206651"}, {"ref": "isaacwsh/notebook390fa3ecea", "kernel_id": "123201525"}, {"ref": "selomeze/spaceship-titanic-with-tfdf", "kernel_id": "123570708"}, {"ref": "m4nnb6/vc-spaceshiptitanic", "kernel_id": "123586648"}, {"ref": "m4nnb6/spaceship-titanic-submission", "kernel_id": "123387225"}, {"ref": "benjaynes/csb320-kagglecompetition2", "kernel_id": "123436793"}, {"ref": "finixyash/notebook892758a4f5", "kernel_id": "123894562"}, {"ref": "yixuanteoo/l05-prac3-spaceshit", "kernel_id": "123192403"}, {"ref": "bennychawoonloong/practical5-task3", "kernel_id": "123202274"}, {"ref": "moekhant/practical-5-task3-using-task2", "kernel_id": "123216088"}, {"ref": "ameliawilson3994/week-5-task-3", "kernel_id": "123329307"}, {"ref": "chongjiemo/w5task3", "kernel_id": "123250946"}, {"ref": "fabianuchendu101/prac6-task2-randomforest-spaceship", "kernel_id": "123884257"}, {"ref": "fabianuchendu101/prac5-task3-spaceship-titanic", "kernel_id": "123823399"}, {"ref": "georgymamarin/agents-grading-agents-spaceship-titanic-mle-bench", "kernel_id": "124181644"}, {"ref": "abdullahoztoprak/spaceship-titanic-problem", "kernel_id": "124469250"}, {"ref": "eyefulye/notebook38632ede74", "kernel_id": "124651310"}, {"ref": "eyefulye/spaceship-titanic-description", "kernel_id": "124626244"}, {"ref": "eyefulye/space-titanic-prediction-from-ye-and-liu", "kernel_id": "124776098"}, {"ref": "hanselchoo/spaceship-titanic-xgboost-optuna", "kernel_id": "124891525"}, {"ref": "salihakolu/notebook96d6c631ca", "kernel_id": "124544831"}, {"ref": "mubashiruddin01/spaceship-titanic-80-8-cv-gradient-boosting-pipe", "kernel_id": "124943383"}, {"ref": "uodaikunn/notebook39ced3da03", "kernel_id": "124888324"}, {"ref": "uodaikunn/notebookb8583d32f6", "kernel_id": "124887002"}, {"ref": "abdullahnaeem151015/spaceship-titanic-competition", "kernel_id": "124644504"}, {"ref": "krishnaharish1/spaceship-titanic-feature-engineering-lgbm", "kernel_id": "124419110"}, {"ref": "rishabhgarg2006/notebookb1a6b2ff80", "kernel_id": "124747294"}, {"ref": "taiyoimamura/notebookef38f22e1e", "kernel_id": "124886985"}, {"ref": "san1204/spaceship-titanic", "kernel_id": "124898707"}, {"ref": "kanechobi/notebooke442-kane-titanic", "kernel_id": "124887928"}, {"ref": "mini0504/notebook9369de834c", "kernel_id": "124889019"}, {"ref": "atsuyakidoguchi/notebook048584963e", "kernel_id": "124887510"}, {"ref": "hasegawakotaro/notebookaf3787ae93", "kernel_id": "124884486"}, {"ref": "c612634049/notebook2bb46958fa", "kernel_id": "124889389"}, {"ref": "yamajiousuke/notebookf74880d4ad", "kernel_id": "124886149"}, {"ref": "kazukiseki/notebook9a876afd2a", "kernel_id": "124886957"}, {"ref": "tomoadachi/notebook8bfc7b1c6b", "kernel_id": "124887680"}, {"ref": "somamatsuda2004/notebookf41149c538", "kernel_id": "124889273"}, {"ref": "kento0811/spaceship-titanic-with-tfdf", "kernel_id": "124885436"}, {"ref": "kteantgeo/notebookd987810b76", "kernel_id": "124889480"}, {"ref": "shinyasato1007/datasciencev2", "kernel_id": "124938415"}, {"ref": "mushroom80o/notebook7edbe0a81c", "kernel_id": "124887918"}, {"ref": "hiras2140/notebook66ce5006db", "kernel_id": "124886508"}, {"ref": "kunjalmtripathi/baseline-titanic", "kernel_id": "124599758"}, {"ref": "chasset/spaceship-titanic-do-ids-hide-signal", "kernel_id": "125647322"}, {"ref": "chasset/spaceship-titanic-a-baseline-you-can-trust", "kernel_id": "125648085"}, {"ref": "chasset/spaceship-titanic-is-your-cv-lying-to-you", "kernel_id": "125648640"}, {"ref": "chasset/spaceship-titanic-blending-judged-honestly", "kernel_id": "125649133"}, {"ref": "doukansrel/notebook2b3c098971", "kernel_id": "125213087"}, {"ref": "alinakharisova/spaceship-titanic-histgradientboostingclassifier", "kernel_id": "125286404"}, {"ref": "browfy/spaceship-tfdf", "kernel_id": "125785115"}, {"ref": "jeff10w25/spaceship-pytorch-learning", "kernel_id": "125370397"}, {"ref": "shunki7kan/notebook143e40cd0b", "kernel_id": "125775727"}, {"ref": "sumangoudakaggle/notebooke-80-069", "kernel_id": "125319083"}, {"ref": "dhuvie/st-group-fate-propagation-cabin-physics", "kernel_id": "125816052"}, {"ref": "norani1213/xgboost-lightgbm-catboost-stacking", "kernel_id": "125484122"}, {"ref": "mty918/notebook354db1f20a", "kernel_id": "125779493"}, {"ref": "mty918/notebookf554aba66f", "kernel_id": "125943685"}, {"ref": "payal2411/notebook5d4c472ff0", "kernel_id": "125278574"}, {"ref": "uodaikunn/notebookbf929bc447", "kernel_id": "125776740"}, {"ref": "harrisonokane/cp3501-prac05-task3-spaceship-okane", "kernel_id": "125800446"}, {"ref": "kerinoras/prac5-task3", "kernel_id": "125378988"}, {"ref": "kailexi/spaceship-titanic-solution", "kernel_id": "125783138"}, {"ref": "kaglerian/notebookab42a75148", "kernel_id": "125436915"}, {"ref": "tamakiniki/notebook1efc274673", "kernel_id": "125778215"}, {"ref": "gabrielggz/spaceship-titanic", "kernel_id": "125203816"}, {"ref": "ryanericson/prac-5-task-3", "kernel_id": "125474417"}, {"ref": "kathleenlovedata/spaceship-titanic-passenger-calculation", "kernel_id": "125287050"}, {"ref": "ricardorqa/notebookeeaffe80c3", "kernel_id": "125892453"}, {"ref": "nigo25ogochan/spaceship-titanic-with-tfdf", "kernel_id": "125780303"}, {"ref": "tsugoyuvgyi/notebook7bf7698680", "kernel_id": "125781187"}, {"ref": "kasaiyaaaaaaa/notebookd64585fa3d", "kernel_id": "125773402"}, {"ref": "yuyuyuyu324087/notebookfbdf90deb4", "kernel_id": "125783841"}, {"ref": "miyamotosota/spaceship-titanic-with-tfdf", "kernel_id": "125779085"}, {"ref": "miyamotosota/spaceship-titanic-with-tfdf-735026", "kernel_id": "125780416"}, {"ref": "miyamotosota/datas1", "kernel_id": "125777338"}, {"ref": "takanamentai/notebook43b7c79385", "kernel_id": "125776604"}, {"ref": "lapine23/notebook8ff4bcf986", "kernel_id": "125778591"}, {"ref": "ryoto12/notebookfe24a42784", "kernel_id": "125774639"}, {"ref": "jump9797/datas1", "kernel_id": "125775299"}, {"ref": "jump9797/spaceship-titanic-with-tfdf", "kernel_id": "125777868"}, {"ref": "jackycstku/lkj-titanic", "kernel_id": "125776047"}, {"ref": "hogo913/notebookb181d99935", "kernel_id": "125775284"}, {"ref": "hogo913/notebook9280012704", "kernel_id": "125741661"}, {"ref": "givememone1/notebook5046c51830", "kernel_id": "125776464"}, {"ref": "mito1522/notebook5420e08a21", "kernel_id": "125782694"}, {"ref": "soranishii/datascience-v1", "kernel_id": "125774718"}, {"ref": "nishisakokyogo/spaceship-titanic-with-lightgbm-n", "kernel_id": "125775587"}, {"ref": "mkkkkk04/notebookd0a30be7b2", "kernel_id": "125776846"}, {"ref": "d2user/notebookd0dc1ec686", "kernel_id": "125775692"}, {"ref": "kazu95/notebook6f369e57e0", "kernel_id": "125778235"}, {"ref": "atsuyakidoguchi/notebooke442-atsuya-spaceship-titanic", "kernel_id": "125779715"}, {"ref": "hytymmto/notebook7329932f5a", "kernel_id": "125780096"}, {"ref": "hytymmto/spaceship-titanic", "kernel_id": "125780592"}, {"ref": "yuwa20041/date-science-yuwa-araki", "kernel_id": "125774833"}, {"ref": "tamakisatomi/notebookf54272dcc3", "kernel_id": "125776103"}, {"ref": "rentoogou/notebookd210eb8d8f", "kernel_id": "125773740"}, {"ref": "rentoogou/notebookcfae776502", "kernel_id": "125947481"}, {"ref": "yutarofujikitu/notebookde6a78b7d9", "kernel_id": "125774709"}, {"ref": "imadatomoya/notebook47a6bfefa9", "kernel_id": "125777947"}, {"ref": "hiroooooose/notebooke69d17f09b", "kernel_id": "125774803"}, {"ref": "masugataryunosuke/notebook9534161d1e", "kernel_id": "125776683"}, {"ref": "otanikokona/notebook-spaceship", "kernel_id": "125780921"}, {"ref": "yugonishioka/notebook4fba39ebcb", "kernel_id": "125677906"}, {"ref": "c612634049/notebooke442-www-titanic-479f9d", "kernel_id": "125779892"}, {"ref": "shiinotomohito/notebook2ab90a32b6", "kernel_id": "125777580"}, {"ref": "eitarodeveloper/notebook0783095b1d", "kernel_id": "125774657"}, {"ref": "arisaniinobe/group-datascience", "kernel_id": "125775016"}, {"ref": "takehosoe/datas7", "kernel_id": "125639911"}, {"ref": "kawatakentaro/notebook3e3f8fd214", "kernel_id": "125776695"}, {"ref": "kazukiseki/notebook106c57924b", "kernel_id": "125772954"}, {"ref": "tomoadachi/notebooke442-adachi-titanic", "kernel_id": "125779728"}, {"ref": "okumurayudai/spaceship-titanic-with-tfdf-okumura", "kernel_id": "125780268"}, {"ref": "yyoshikawa0330/notebookf8499680a1", "kernel_id": "125778805"}, {"ref": "yasakakokoro/notebook97c6ccf2b4", "kernel_id": "125774967"}, {"ref": "soichi0915/notebook4ca37ab36c", "kernel_id": "125775698"}, {"ref": "soichi0915/notebookc398ad3288", "kernel_id": "125777347"}, {"ref": "yamamotoyuto/notebookc1c84a3c48", "kernel_id": "125778567"}, {"ref": "yamamotoyuto/spaceship-titanic-with-tfdf", "kernel_id": "125781663"}, {"ref": "kento0811/notebook9c52681268", "kernel_id": "125777964"}, {"ref": "kohinn/notebook4e815eb1f3", "kernel_id": "125775305"}, {"ref": "kocha600000/notebooke442-matsumura-titanic", "kernel_id": "125779684"}, {"ref": "kocha600000/notebookf1166bd566", "kernel_id": "125691232"}, {"ref": "kteantgeo/notebooke442-ken-titanic", "kernel_id": "125780163"}, {"ref": "arashichihaya/notebook44b2065fb6", "kernel_id": "125774711"}, {"ref": "miyamoto1215/notebook21b1eb11fe", "kernel_id": "125781376"}, {"ref": "c612634025/notebook1c4da1019", "kernel_id": "125774869"}, {"ref": "kajimasaki/notebook3e3f8fd214", "kernel_id": "125777238"}, {"ref": "kajimasaki/notebook57deefc3de", "kernel_id": "125776381"}, {"ref": "keisukemitsuhata/notebookb109a51edf", "kernel_id": "125778274"}, {"ref": "shinyasato1007/datascience-612635049", "kernel_id": "125778592"}, {"ref": "koreruu/spaceship-titanic-with-tfdf", "kernel_id": "125781232"}, {"ref": "ichirinmatsuue/datascience-ichirinmatsuue", "kernel_id": "125774045"}, {"ref": "mushroom80o/notebook18c90759a2", "kernel_id": "125776030"}, {"ref": "yoshikisato612/spaceship-titanic-with-tfdf-sato1", "kernel_id": "125778242"}, {"ref": "wangyuhemg/notebook9385aee0c5", "kernel_id": "125781470"}, {"ref": "yuta1210/notebook9113e62e27", "kernel_id": "125775529"}, {"ref": "kamadaouka/notebook64cd98614f", "kernel_id": "125775460"}, {"ref": "kawaiyuriko/notebook5c1188ebdc", "kernel_id": "125777885"}, {"ref": "fukutakemisa/notebookd8f8f6771a", "kernel_id": "125774982"}, {"ref": "aoyamajun/notebookbdcd014ff4", "kernel_id": "125774619"}, {"ref": "aoyamajun/notebooka8cc3b1a6e", "kernel_id": "125775906"}, {"ref": "tomoya160/notebookea082997df", "kernel_id": "125780395"}, {"ref": "at0903ay/notebook5b41fbdc1a", "kernel_id": "125775107"}, {"ref": "yuukimatsuda2003/notebookf0b580f19d", "kernel_id": "125774872"}, {"ref": "zouyibo/spaceship-titanic-with-tfdf-zou1", "kernel_id": "125780152"}, {"ref": "shotajotatsu/notebook74d5723fe6", "kernel_id": "125775278"}, {"ref": "shotajotatsu/spacetitanic", "kernel_id": "125634569"}, {"ref": "firoj1316/spaceship-titanic-with-tfdf", "kernel_id": "125779474"}, {"ref": "yumaendoutokushimau/spaceship-titanic-with-tfdf-endou1", "kernel_id": "125780273"}, {"ref": "dai1616/notebook91363d95e9", "kernel_id": "125777665"}, {"ref": "sangamsaraswat/spaceship-titanic", "kernel_id": "125173898"}, {"ref": "denuwanwijesinghe/spaceship-titanic-denu1", "kernel_id": "126143430"}, {"ref": "sahilmurhekar/notebookada98ce3f2", "kernel_id": "126370107"}, {"ref": "lukaspanos/spaceship-titanic-log-reg-xg-boost", "kernel_id": "126413370"}, {"ref": "maximendacleu/spaceship-titanic-machine-learning", "kernel_id": "126046027"}, {"ref": "mertbelgex/spaceship-titanc", "kernel_id": "126173576"}, {"ref": "sambarrett1/cp3501-prac-06-part-01-samuelbarrett", "kernel_id": "126658320"}, {"ref": "hachihachi88/notebookf2e4262ecb", "kernel_id": "126560289"}, {"ref": "kazuhiroyogo/spaceship-kazuhiro-yogo-ensemble2", "kernel_id": "126230801"}, {"ref": "kazuhiroyogo/spaceship-kazuhiro-yogo-lightgbm1", "kernel_id": "126227700"}, {"ref": "kazuhiroyogo/spaceship-kazuhiro-yogo-lightgbm2", "kernel_id": "126229242"}, {"ref": "kazuhiroyogo/spaceship-kazuhiro-yogo-ensemble1", "kernel_id": "126230155"}, {"ref": "zqx960151285/spaceship-titanic", "kernel_id": "126314597"}, {"ref": "mohammednafayali/spaceship-titanic-guide-for-beginners", "kernel_id": "126937796"}, {"ref": "neurocipher/spaceship-titanic-multi-head-dae", "kernel_id": "126396139"}, {"ref": "uodaikunn/notebook4fba39ebcb", "kernel_id": "126561115"}, {"ref": "gautamkumarpatel/com-noteboook", "kernel_id": "126370594"}, {"ref": "younghoocheon/fastai-lesson-6a-random-forests", "kernel_id": "126220205"}, {"ref": "zhaoyouyang/week6-task2-youyangzhao", "kernel_id": "126227307"}, {"ref": "zhaoyouyang/fastai-lesson-6a-random-forests", "kernel_id": "126209989"}, {"ref": "floralsu/notebook015e321d77", "kernel_id": "126211130"}, {"ref": "isaacwsh/notebook900b884d04", "kernel_id": "126210656"}, {"ref": "asuka520/prac5-task3", "kernel_id": "126889248"}, {"ref": "zhangdavid01/fastai-lesson-6a-random-forests", "kernel_id": "126228716"}, {"ref": "brockallen/fastai-lesson-6a-random-forests", "kernel_id": "126774894"}, {"ref": "prabhshersingh/cp3501-week-5-task-3-spaceship-titanic-fastai", "kernel_id": "126963046"}, {"ref": "bonengsun/notebook8d77c6bbde", "kernel_id": "126579878"}, {"ref": "cz519826/cp5701-task-5-group5", "kernel_id": "126209947"}, {"ref": "sijia2002/notebook240b10eb4a", "kernel_id": "126212905"}, {"ref": "chihebghraibia/spaceship-titanic-rf-xgb-lgbm-ensemble-0-81-cv", "kernel_id": "126518336"}, {"ref": "edithwong/spaceship-titanic", "kernel_id": "126210016"}, {"ref": "bennychawoonloong/fastai-lesson-6a-random-forests", "kernel_id": "126209765"}, {"ref": "bennychawoonloong/practical-6-task2", "kernel_id": "126212715"}, {"ref": "tharishreddy22/predicting-passenger-transport-on-spaceship", "kernel_id": "126337286"}, {"ref": "l1angj/titanic-group4", "kernel_id": "126235385"}, {"ref": "l1angj/fastai-lesson-6a-random-forests", "kernel_id": "126233625"}, {"ref": "anishraorenati/group-19-c", "kernel_id": "126234469"}, {"ref": "emilianomogorovich/notebook1b795fed27-spaceship", "kernel_id": "126525641"}, {"ref": "chiranjeeb2003/notebook81f717c339", "kernel_id": "126860878"}, {"ref": "pranamkumarchand/spaceship-titanic-using-sklearn", "kernel_id": "126926743"}, {"ref": "twinkstar/notebook2test", "kernel_id": "126880520"}, {"ref": "hiyorikoyanagi/spaceship-titanic", "kernel_id": "126560365"}, {"ref": "yuyuyuyu324087/spacetitanic-notebook", "kernel_id": "126565745"}, {"ref": "miyamotosota/spaceship-tfdf", "kernel_id": "126676879"}, {"ref": "miyamotosota/spaceship-tfdf-9ea3e7", "kernel_id": "126677386"}, {"ref": "watanabeyasakai/spaceshipnotebook", "kernel_id": "126232315"}, {"ref": "jump9797/spaceship-tfdf", "kernel_id": "126561397"}, {"ref": "kanatatsu/notebook6235567230", "kernel_id": "126434482"}, {"ref": "kanatatsu/notebookbb477b9a5b", "kernel_id": "126549822"}, {"ref": "riri1464/date-group", "kernel_id": "126555957"}, {"ref": "fujiiyuna/notebook6ced7cfd4d", "kernel_id": "126360549"}, {"ref": "jamiroquai2003/datascience", "kernel_id": "126560035"}, {"ref": "d2user/notebook7a885863f1", "kernel_id": "126560684"}, {"ref": "nnm0826/notebook73761c3457", "kernel_id": "126563606"}, {"ref": "chazonoyuto/data-sience3", "kernel_id": "126569226"}, {"ref": "okuda1202/notebook2011689fec", "kernel_id": "126562280"}, {"ref": "somamatsuda2004/notebookd51a480786", "kernel_id": "126566967"}, {"ref": "yamamotoyuto/spaceship-tfdf", "kernel_id": "126869578"}, {"ref": "kento0811/spaceship-titanic-final", "kernel_id": "126563298"}, {"ref": "hirataayumu/notebook8d9f2baf82", "kernel_id": "126561414"}, {"ref": "maegawa0630/notebook3e0f7d121e", "kernel_id": "126560408"}, {"ref": "yumaendoutokushimau/endouyuma-2", "kernel_id": "126558371"}, {"ref": "ekaterinas99/spaceship-titanic-ml-classification-rf-dt-lr", "kernel_id": "126184350"}, {"ref": "simongotlib/notebook6072f0c2e9", "kernel_id": "126063920"}, {"ref": "lukaspanos/spaceship-titanic-with-pipeline", "kernel_id": "127404384"}, {"ref": "racmoss/spaceship-titanic-catboost", "kernel_id": "127328976"}, {"ref": "jcklly/prac-6-task-2", "kernel_id": "127261730"}, {"ref": "muneebshafique512/spaceship-titanic-eda-classification-pipeline", "kernel_id": "127698801"}, {"ref": "mty918/spacetitanic-notebook-ba5c62", "kernel_id": "127559122"}, {"ref": "sonakshiii29/spaceship-titanic", "kernel_id": "127328524"}, {"ref": "mrahtashamulhaq/only-notebook-for-spaceship-titanic-competition", "kernel_id": "127286779"}, {"ref": "neurocipher/gain-from-theory-to-tensorflow-implementation", "kernel_id": "127469417"}, {"ref": "muhammadumer7804/spaceship-titanic-prediction", "kernel_id": "127273008"}, {"ref": "prabhshersingh/cp3501-week-6-task-2-spaceship-titanic-random-fo", "kernel_id": "127967566"}, {"ref": "libozhi/prac-6-task2", "kernel_id": "127872330"}, {"ref": "evanxie1/notebookb7e9826acd", "kernel_id": "127223365"}, {"ref": "ayephyusinsoe/spaceship-titanic", "kernel_id": "127984467"}, {"ref": "emilianomogorovich/fastai-lesson-6a-random-forests", "kernel_id": "127537308"}, {"ref": "chiranjeeb2003/fastai-lesson-6a-random-forests", "kernel_id": "127782095"}, {"ref": "chiranjeeb2003/prac-6-v260610-task2", "kernel_id": "127783076"}, {"ref": "twinkstar/notebooksub", "kernel_id": "127062171"}, {"ref": "yoneuri/notebookab7aaf4b2b", "kernel_id": "127553456"}, {"ref": "kanatatsu/notebook9a0b00b8b9", "kernel_id": "127481538"}, {"ref": "riri1464/group4-2", "kernel_id": "127559353"}, {"ref": "redmouse128/my-spaceshipment", "kernel_id": "127552420"}, {"ref": "tamakisatomi/notebookds-g3-6", "kernel_id": "127560590"}, {"ref": "kiyo06/space-titanic-group-randomforest", "kernel_id": "127552569"}, {"ref": "c612634049/notebook85b049be00", "kernel_id": "127556477"}, {"ref": "kentayanai/notebookf3a487e37d", "kernel_id": "127454607"}, {"ref": "hare0806/notebook03f3da7b46", "kernel_id": "127556745"}, {"ref": "tomoadachi/notebooke442-adachitomo-titanic", "kernel_id": "127562421"}, {"ref": "yamasakita/notebookdde8cda8e2", "kernel_id": "127862804"}, {"ref": "kocha600000/notebooke442-kane-titanic", "kernel_id": "127562735"}, {"ref": "kteantgeo/notebooke442-kenchan-titanic", "kernel_id": "127562321"}, {"ref": "daichimorinishi/spaceship-titanic", "kernel_id": "127558534"}, {"ref": "komutanozomi/notebookedcc60f5b7", "kernel_id": "127836004"}, {"ref": "fujimotomizuki/notebook33b8a303cb", "kernel_id": "127745879"}, {"ref": "naguraharuka/6126310100-nagura-haruka", "kernel_id": "127560238"}, {"ref": "enokidake/fork-of-notebook3d26f03334-7f618b", "kernel_id": "127559873"}, {"ref": "fukutakemisa/notebook0a63e01e5e", "kernel_id": "127557778"}, {"ref": "yosukehanafusa/note-hanafusa01", "kernel_id": "127558776"}, {"ref": "adam1942/spaceship-titanic-adam-elrwemie", "kernel_id": "128606576"}, {"ref": "ritesh2006/nlp-sentiment-classification-eda", "kernel_id": "128775038"}, {"ref": "ritesh2006/all-sources-connected-notebook", "kernel_id": "128770061"}, {"ref": "hustle256/spaceship-titanic-fastai-framework-from-task-2", "kernel_id": "128679497"}, {"ref": "tva2005/spaceship-titanic", "kernel_id": "128317841"}, {"ref": "vinay24baghira/spaceship-titanic-80-8-eda-cat-ensebling-top", "kernel_id": "128351286"}, {"ref": "erfvntr/titanic-xgboost", "kernel_id": "128002106"}, {"ref": "skyulf/spaceship-titanic-with-skyulf-core", "kernel_id": "128385755"}, {"ref": "neurocipher/spaceship-titanic-production-ml", "kernel_id": "128585608"}, {"ref": "mazen811/axis-neural-networks-project", "kernel_id": "128314282"}, {"ref": "aryannchoudhary/spaceship-titanic", "kernel_id": "128227444"}, {"ref": "prvsiyan/spaceship-titanic-group-graphs-honest-cv", "kernel_id": "128955806"}, {"ref": "daichikanehara/notebookaaac05a8bc", "kernel_id": "128728681"}, {"ref": "yuyuyuyu324087/notebook7329932f5a", "kernel_id": "128197481"}, {"ref": "takanamentai/notebook8a5e9fac7c", "kernel_id": "128450820"}, {"ref": "soranishii/datasciencev2", "kernel_id": "128448686"}, {"ref": "yamada12/notebookadff919687", "kernel_id": "128436723"}, {"ref": "aratakuramoto/notebook26f2faa1aa", "kernel_id": "128005991"}, {"ref": "same470/datas1", "kernel_id": "128322766"}, {"ref": "tsutsumitoa/spacetitanic-notebook", "kernel_id": "128452597"}, {"ref": "zhenyidu123/notebooke2ce357f11", "kernel_id": "128726997"}, {"ref": "naoyukiokumura/datascience-no-6", "kernel_id": "128087858"}, {"ref": "tanakaayumu750/notebookdce895ccda", "kernel_id": "128449677"}, {"ref": "eitarodeveloper/notebookaa6c1cbbe1", "kernel_id": "128452963"}, {"ref": "fluidsengineering/notebookc12a11acb3", "kernel_id": "128071535"}, {"ref": "yamajiousuke/notebook8aed278d31", "kernel_id": "128448456"}, {"ref": "takehosoe/notebook135418b477", "kernel_id": "128318053"}, {"ref": "hyskn030515/notebooka7ddb961aa", "kernel_id": "128450704"}, {"ref": "kentayanai/notebookdf7672991b", "kernel_id": "128444969"}, {"ref": "shinjinmuramatsu/notebook8d9486ac13", "kernel_id": "128433498"}, {"ref": "yamasakita/notebookeb9d83d75f", "kernel_id": "128449341"}, {"ref": "yamasakita/notebook58c67fd41c", "kernel_id": "128448248"}, {"ref": "hinata0315/notebookeca7e60a07", "kernel_id": "128071839"}, {"ref": "yoshidaiori2002/notebookc92c47d446", "kernel_id": "128194605"}, {"ref": "yuta23/notebook5a6f842ddf", "kernel_id": "128449187"}, {"ref": "nanakoasada/datascience-2026-07-24", "kernel_id": "128415280"}, {"ref": "kajimasaki/notebook58f630729f", "kernel_id": "128449617"}, {"ref": "han020628/spaceshipnotebook", "kernel_id": "128388025"}, {"ref": "shotakatayama/shota-spaceship1", "kernel_id": "128450171"}, {"ref": "shotakatayama/shota-spaceship", "kernel_id": "128087835"}, {"ref": "okamuralime/notebookef80c7b9a7", "kernel_id": "128194883"}, {"ref": "ichirinmatsuue/datascience-matsuueichirin", "kernel_id": "128448613"}, {"ref": "ichirinmatsuue/ds-matsuue", "kernel_id": "128451994"}, {"ref": "sekiguchikouta/notebookc2311888b6", "kernel_id": "128308018"}, {"ref": "kamadaouka/notebookea2e1d8204", "kernel_id": "128449631"}, {"ref": "leejaemin01/notebooka4ef321880", "kernel_id": "128652020"}, {"ref": "aegistea/sstitanic-skeleton-qweryasd", "kernel_id": "129540149"}, {"ref": "kazuto23/sstitanic-skeleton-qweryasd", "kernel_id": "129970369"}, {"ref": "romasanta/spaceship-titanic-solution", "kernel_id": "129284973"}, {"ref": "titakongolo/notebook-spaceship-titanic-avec-xgboost", "kernel_id": "129517688"}, {"ref": "titakongolo/spaceship-titanic-r-french", "kernel_id": "129500312"}, {"ref": "acacia21/spaceship-titanic-predicting-passengers", "kernel_id": "129614204"}, {"ref": "mobzya/spaceship-titanic", "kernel_id": "129619683"}, {"ref": "kerinoras/spaceship-titanic-random-forest-task-2", "kernel_id": "129638378"}, {"ref": "anishpatil2853/spaceship", "kernel_id": "129881047"}, {"ref": "anishpatil2853/spaceship1", "kernel_id": "129887977"}, {"ref": "chakrabhuanavdeva/space-titanic-predictivecodingnetwork", "kernel_id": "130062073"}, {"ref": "chakrabhuanavdeva/space-titanic-forward-forward-network", "kernel_id": "130179197"}, {"ref": "shashvatsingham/most-of-your-cv-gains-are-noise", "kernel_id": "130535797"}, {"ref": "vincenthwq/spaceship-titanic-ensemble", "kernel_id": "130901184"}, {"ref": "joevanaliman/spaceship-titanic-with-xgbclassifier", "kernel_id": "130275988"}, {"ref": "devilbornfire/spaceship-titanic-ml-problem", "kernel_id": "130356948"}, {"ref": "muratcanyaman/spaceship-titanic", "kernel_id": "130811093"}, {"ref": "maximolorenzoylosada/what-a-calibration-curve-looks-like", "kernel_id": "130234337"}, {"ref": "maximolorenzoylosada/using-a-saved-pipeline-from-the-hub", "kernel_id": "130231594"}, {"ref": "maximolorenzoylosada/spaceship-group-signal", "kernel_id": "130324192"}, {"ref": "maximolorenzoylosada/training-a-model-and-exporting-it", "kernel_id": "130548948"}, {"ref": "ahmeddsaed/spaceship-titanic", "kernel_id": "130827311"}, {"ref": "aaryadesai23/notebook584f348b61", "kernel_id": "130402227"}, {"ref": "dedquoc/advanced-eda-optuna-tuning-lightgbm-pipeline", "kernel_id": "131352749"}, {"ref": "aegistea/sstitanic-ag2-extreme-mlimpute3", "kernel_id": "131782667"}, {"ref": "danishrasheed19/space-titanic", "kernel_id": "131635550"}, {"ref": "prathmeshkolekar/spaceship-titanic", "kernel_id": "131061438"}, {"ref": "engkhaledmo/spaceship-titanic", "kernel_id": "131174572"}, {"ref": "rizkisuryanugroho/spaceship-titanic-transported-passenger-prediction", "kernel_id": "131337448"}, {"ref": "dharindave120703/spaceship-titanic", "kernel_id": "131061871"}, {"ref": "m00hamed/notebook96e3b825ad", "kernel_id": "131561270"}, {"ref": "mohamedabdalla33/project-deep", "kernel_id": "131421877"}, {"ref": "ahmedosman220/spaceship-titanic-competition", "kernel_id": "131421707"}, {"ref": "omarhelal2351/notebooked7afef7b8", "kernel_id": "131659304"}, {"ref": "ahmedyasser06/spaceship-titanic-final", "kernel_id": "131628353"}, {"ref": "abdelazizmohamed1016/notebookaeb2be37a9-2", "kernel_id": "131658622"}, {"ref": "amjedalabsy/titanic", "kernel_id": "131190984"}, {"ref": "bhumikagarg12/spaceship-titanic-competitions", "kernel_id": "131252090"}, {"ref": "prakritibhandari19/fork-of-notebook4d7017abe3", "kernel_id": "131768778"}, {"ref": "bvm123/task-3-prac-s-solution-is-not-provided", "kernel_id": "131052271"}, {"ref": "darulislam2233081316/notebook8127863e58", "kernel_id": "131195534"}, {"ref": "sravani1828/spaceshiptitanicm1", "kernel_id": "131940332"}, {"ref": "gyanaranjanmishra/spaceship-titanic-leak-free-pipelines-from-split", "kernel_id": "132023822"}, {"ref": "afsaln/prediction", "kernel_id": "132851397"}, {"ref": "animeguylrn/spaceship-titanic", "kernel_id": "132681897"}, {"ref": "kristinstrecker/spaceship-titanic-baseline", "kernel_id": "132113255"}, {"ref": "bismaakbar939/spaceship-titanic-notebook", "kernel_id": "132800063"}, {"ref": "arseniyshutko/spaceship-titanic-xgb", "kernel_id": "132106448"}, {"ref": "bekamaregasanegewo/notebook5a7ac95675", "kernel_id": "132917567"}, {"ref": "prathmeshkolekar/spaceship-titanic-v2", "kernel_id": "133319708"}, {"ref": "justineumutoni/spaceshiptitanic-justineumutoni-ipynb", "kernel_id": "133694648"}, {"ref": "nyiranizeyimanaaline/blend-best", "kernel_id": "133916341"}, {"ref": "enishard/space-titacnic-for-r-prediction", "kernel_id": "133320441"}, {"ref": "ishimweluciekarlise/notebook4363f7b8eb", "kernel_id": "133763318"}, {"ref": "sumitkumar1211qw/model-over", "kernel_id": "133526987"}, {"ref": "gkmenkkaydin/spaceship-titanic-classification", "kernel_id": "133473110"}, {"ref": "engmohammednabil/spaceship-titanic-with-tfdf", "kernel_id": "133163495"}, {"ref": "engmohammednabil/notebook76e180c05d", "kernel_id": "133162713"}, {"ref": "engmohammednabil/notebook668fa726ba", "kernel_id": "133161580"}, {"ref": "roseumutesi/notebook735ea5c13c", "kernel_id": "133852413"}, {"ref": "jakiduy/spaceship-titanic-comp-using-mlp", "kernel_id": "133569283"}, {"ref": "arseniyshutko/spaceship-titanic-xgb-with-better-depth", "kernel_id": "133101718"}, {"ref": "tuyishimireclaudine/notebook6405afc803", "kernel_id": "133733266"}, {"ref": "mireilleingabire/spaceship-titanic-competition-ingabire-mireille", "kernel_id": "133852816"}, {"ref": "aokdesuuu/spaceship-titanic-eda-a-guided-walkthrough", "kernel_id": "134834991"}, {"ref": "jaderfigueredo/spaceship-titanic-jader", "kernel_id": "134530752"}, {"ref": "okkysr/titanic-space-okky", "kernel_id": "134613771"}, {"ref": "rahmatillayeva/spaceship-with-xgboost", "kernel_id": "134853638"}, {"ref": "yusuketogashi/spaceship-titanic-eda-notebook", "kernel_id": "134026766"}, {"ref": "yusuketogashi/spaceship-titanic-baseline-notebook", "kernel_id": "134130475"}, {"ref": "iradukundaannet/iradukunda", "kernel_id": "134258986"}, {"ref": "ahmetodb/spaceship-titanic", "kernel_id": "134624498"}, {"ref": "saqrameen/beginner-friendly-baseline-with-visual-eda-random", "kernel_id": "134619884"}, {"ref": "varo610/spaceship-titanic", "kernel_id": "134473011"}, {"ref": "kl2500032221/notebook260df6a646", "kernel_id": "134679960"}, {"ref": "abijurudiana/spaceship-titanic-notebook", "kernel_id": "134085841"}, {"ref": "andrerodan/spaceship-titanic-predict-random-forest-79-77", "kernel_id": "134552992"}, {"ref": "deborahirakoze/spaceship-titanic-notebook", "kernel_id": "134218696"}, {"ref": "datascikhan/spaceship-titanic-xgboost-catboost-ensemble", "kernel_id": "135083980"}, {"ref": "datascikhan/spaceship-titanic-lightgbm-pipeline", "kernel_id": "135082252"}, {"ref": "datascikhan/spaceship-titanic-pytorch-neural-network", "kernel_id": "135084706"}, {"ref": "sodienyecookey/spaceship-titanic-prediction", "kernel_id": "135297128"}, {"ref": "rifatnurprotyashaah/titanic", "kernel_id": "135263819"}, {"ref": "mahmoudessammahmoud/notebook5d715f02fc", "kernel_id": "135585673"}, {"ref": "alessandrodaniele07/spaceship-solve", "kernel_id": "135440099"}, {"ref": "kunkorun/notebook2509", "kernel_id": "135858945"}, {"ref": "albertzawsam/spaceship-titanic", "kernel_id": "136070048"}, {"ref": "gyunjaewon/notebook5fc3a8f903", "kernel_id": "136061152"}, {"ref": "hitarthjain0/spaceship-titanic-feature-engineering-catboost", "kernel_id": "136485177"}, {"ref": "hitarthjain0/spaceship-titanic-feature-engineering-ablation", "kernel_id": "136559568"}, {"ref": "kelvinswai/spaceship-81-8-predict", "kernel_id": "136575592"}, {"ref": "ibrahimmamanmoutari/spaceship-titanic", "kernel_id": "136429658"}, {"ref": "datawithabxrehman/spaceship-titanic", "kernel_id": "136201902"}, {"ref": "salimsnb/spaceship-titanic-eda-and-lightgbm-pipeline", "kernel_id": "136124260"}]}
{"competition_id": "34384", "kernels": []}
{"competition_id": "34405", "kernels": []}
{"competition_id": "34407", "kernels": []}
{"competition_id": "34411", "kernels": [{"ref": "tomy4reel/wids2", "kernel_id": "25238991"}, {"ref": "mpwolke/the-air-we-breathe-particulate-matter-pm-2-5-pcm", "kernel_id": "25783105"}, {"ref": "mpwolke/l-important-c-est-wids-docx", "kernel_id": "25759971"}, {"ref": "mpwolke/climate-change-ai-ccai-geopandas", "kernel_id": "25763153"}, {"ref": "mpwolke/wids-verbal-autopsy-critical-health", "kernel_id": "25829170"}, {"ref": "mpwolke/learning-with-our-vulnerability-covid-19", "kernel_id": "25882454"}, {"ref": "mpwolke/geometry-polygon-ccai-wids", "kernel_id": "25914331"}, {"ref": "mpwolke/how-well-or-not-we-live-health-rankings-wids", "kernel_id": "25962905"}, {"ref": "iamleonie/wids-datathon-2022-phase-ii-climate-change-ai", "kernel_id": "25339682"}, {"ref": "sytuannguyen/wids-ii-2022-eda", "kernel_id": "25226026"}, {"ref": "sayansh001/air-quality-eda", "kernel_id": "25245208"}, {"ref": "maliniramamurthy/wids-eda-subm-sm", "kernel_id": "26858846"}, {"ref": "eramsahai/media-cloud-install-and-load", "kernel_id": "26554702"}, {"ref": "farzonaeraj/air-quality", "kernel_id": "26276890"}, {"ref": "erumafzal/air-quality", "kernel_id": "28314892"}, {"ref": "iamleonie/5-ideas-to-create-new-features-from-polygons", "kernel_id": "28070930"}, {"ref": "kalininvladislav/ccai-analysis-and-research-of-important-ml-feature", "kernel_id": "29066635"}, {"ref": "aryanvats/grids", "kernel_id": "43698453"}, {"ref": "seyonshanthan/it-2-projekt", "kernel_id": "44831410"}, {"ref": "cardata/2020-datathon-epa-air-quality", "kernel_id": "56289836"}]}
{"competition_id": "34419", "kernels": [{"ref": "robga/simulations-episode-scraper-match-downloader", "kernel_id": "14611507"}, {"ref": "bovard/kore-python-random-agent", "kernel_id": "26215195"}, {"ref": "bovard/kore-intro-i-the-basics", "kernel_id": "26215479"}, {"ref": "bovard/kore-intro-ii-mining-kore", "kernel_id": "26215499"}, {"ref": "bovard/kore-intro-iii-expanding-the-empire", "kernel_id": "26215540"}, {"ref": "bovard/kore-intro-iv-combat", "kernel_id": "26215562"}, {"ref": "bovard/kore-attacker-agent", "kernel_id": "26217920"}, {"ref": "bovard/kore-miner-agent", "kernel_id": "26218141"}, {"ref": "bovard/kore-balanced-agent", "kernel_id": "26218489"}, {"ref": "cv13j0/kore-2022-reinfocement-learning", "kernel_id": "26929769"}, {"ref": "mpware/game-observations", "kernel_id": "26480231"}, {"ref": "obkyrush/kore-env-multi-agent-interaction", "kernel_id": "26219059"}, {"ref": "robga/kore-episode-scraper-match-downloader", "kernel_id": "26559392"}, {"ref": "huikang/kore-2022-match-analysis", "kernel_id": "26356440"}, {"ref": "huikang/kore-2022-feature-generator", "kernel_id": "26895133"}, {"ref": "huikang/kore-2022-tri-action-imitation-agent", "kernel_id": "26760413"}, {"ref": "jmerle/koreye-2022-integration", "kernel_id": "26853257"}, {"ref": "sgreiner/kore-balanced-agent-with-defence", "kernel_id": "26801059"}, {"ref": "gabrielmilan/drl-ga-starter", "kernel_id": "26701592"}, {"ref": "mpwolke/i-did-nothing-it-s-a-bovard-clone", "kernel_id": "26218015"}, {"ref": "kirderf/kore2022-winrate-evaluation-multiprocessing", "kernel_id": "26938809"}, {"ref": "edwardcrookenden/kore-starter-6th-in-beta-rule-based-agent", "kernel_id": "26235468"}, {"ref": "foolishboi/live-submission-tracking", "kernel_id": "26384084"}, {"ref": "foolishboi/plotting-kore-w-r-t-time", "kernel_id": "26417105"}, {"ref": "thomasdubail/kore2022-read-files", "kernel_id": "26484810"}, {"ref": "thomasdubail/kore2022-winrate-evaluation", "kernel_id": "26625810"}, {"ref": "masaishi/kore2022-q-learning-long-term-reward", "kernel_id": "26271127"}, {"ref": "ghrangel/generate-images-from-kore-grid", "kernel_id": "26771600"}, {"ref": "pixyz0130/kore-intro-iv-combat-unofficial", "kernel_id": "26552620"}, {"ref": "pixyz0130/kore-intro-iii-expanding-the-empire-unofficial", "kernel_id": "26525695"}, {"ref": "pixyz0130/kore-intro-i-the-basics-unofficial", "kernel_id": "26500440"}, {"ref": "pixyz0130/kore-intro-ii-mining-kore-unofficial", "kernel_id": "26492855"}, {"ref": "pixyz0130/kore-2022-understand-competition", "kernel_id": "26449712"}, {"ref": "pixyz0130/kore-ii-mining-labo-note", "kernel_id": "26845781"}, {"ref": "pixyz0130/kore-iii-make-shipyard-labo-note", "kernel_id": "26941486"}, {"ref": "noob000/kore-env-study-for-rl", "kernel_id": "26626770"}, {"ref": "brassmonkey381/the-simulator-tar-creator-v3", "kernel_id": "27768875"}, {"ref": "solverworld/getting-nice-kore-classes-documentation", "kernel_id": "27008136"}, {"ref": "solverworld/kore-beta-1st-place-solution", "kernel_id": "27224384"}, {"ref": "solverworld/computing-speed-for-kore-harvesting-routes", "kernel_id": "27478676"}, {"ref": "robga/shaving-microseconds", "kernel_id": "27625236"}, {"ref": "huikang/kore-2022-imitation-training", "kernel_id": "27154838"}, {"ref": "kuenoo/beta-1st-6th-based-rl", "kernel_id": "27811291"}, {"ref": "lesamu/reinforcement-learning-baseline-in-python", "kernel_id": "27141538"}, {"ref": "wptouxx/kore-2022-win-rate-prediction", "kernel_id": "27694164"}, {"ref": "arunprathap/kore-2022-testbench", "kernel_id": "27199973"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "ghrangel/my-kore-competition", "kernel_id": "27678749"}, {"ref": "pixyz0130/kore-i-basics-labo-note", "kernel_id": "27082908"}, {"ref": "klukin/kore-simple-dqn", "kernel_id": "27915225"}, {"ref": "louisburtz/visualize-board-control-area-with-voronoi-diagrams", "kernel_id": "27945875"}, {"ref": "thedevastator/tf-imitation-training-using-torch-tensors", "kernel_id": "27963704"}, {"ref": "solverworld/plot-submission-score-trajectory", "kernel_id": "28179866"}, {"ref": "ollibolli/stablebaselinessubmission", "kernel_id": "28405646"}, {"ref": "ollibolli/drl-submission", "kernel_id": "28405341"}, {"ref": "ollibolli/loadinganothermodel", "kernel_id": "28427082"}, {"ref": "slowlearnermack/withanothermodel", "kernel_id": "28928147"}, {"ref": "alexandersamarin/kore-graph-neural-network", "kernel_id": "28302672"}, {"ref": "sunnwoongchoi/notebookc0d3838dad", "kernel_id": "28641248"}, {"ref": "asdkarma/kore-2022", "kernel_id": "28678803"}, {"ref": "xodeum/kore-game-2022", "kernel_id": "28375847"}, {"ref": "xodeum/kore-2022", "kernel_id": "28400996"}, {"ref": "dantni/ntouce", "kernel_id": "29847086"}, {"ref": "bansodesandeep/nlp-predicting-sentiment-of-covid-19-tweets", "kernel_id": "30444851"}]}
{"competition_id": "34425", "kernels": []}
{"competition_id": "34426", "kernels": [{"ref": "qunanh/dogs-and-cats-efficientnetb4-ns", "kernel_id": "24921091"}, {"ref": "khoatran1312/dog-cat-classification", "kernel_id": "24980391"}, {"ref": "khoaphamdang/efficientnetb7-model", "kernel_id": "24905494"}, {"ref": "hidngnguyna/efficientnetb7-classification", "kernel_id": "24968624"}, {"ref": "gracegrenore/classifier", "kernel_id": "24981850"}, {"ref": "vietnhatthai/dogs-cats-efficientnet-b7-0-989", "kernel_id": "24878298"}, {"ref": "concyclics/dog-vs-cat-efficientnet-comparison", "kernel_id": "24961505"}, {"ref": "concyclics/0-995-dog-or-cat-vgg-model-introduction", "kernel_id": "24868689"}, {"ref": "gauravjagtap/c-d-nn", "kernel_id": "25294429"}, {"ref": "yihaol1/resnet50-pytorch", "kernel_id": "25045197"}, {"ref": "chenyixing/94-high-accuracy-small-samples-easy-model", "kernel_id": "25819520"}, {"ref": "caoofficial/dog-vs-cat-classification", "kernel_id": "25095918"}, {"ref": "nguyenduc810/dog-vs-cat-mobilenetv2", "kernel_id": "25136529"}, {"ref": "sayansh001/binary-image-classification-using-vgg16-90-79", "kernel_id": "25033775"}, {"ref": "nightfury1103/dogs-vs-cats", "kernel_id": "25039058"}, {"ref": "himanshusirsat/dog-vs-cat-classi", "kernel_id": "25005126"}, {"ref": "vnnamu/dog-vs-cat-classification", "kernel_id": "25117156"}, {"ref": "dngnguynhi/efficientnetb4-classification", "kernel_id": "25107948"}, {"ref": "myncoder0908/dog-and-cat-classification-efficientnetb4-99-791", "kernel_id": "25259997"}, {"ref": "abhishek123maurya/classifier-using-the-inception-v3", "kernel_id": "25608384"}, {"ref": "abhishek123maurya/simple-classifier-using-cnn", "kernel_id": "25550365"}, {"ref": "akashsdevbanshi/training-model-using-inceptionv3", "kernel_id": "25058226"}, {"ref": "mustafamu/dog-and-cat-classification-transfer-learning-cnn", "kernel_id": "32227684"}, {"ref": "saptarshii003/cat-dog-classification", "kernel_id": "40249608"}, {"ref": "fuzzymaster/cat-vs-dog", "kernel_id": "44610316"}, {"ref": "minhvtm/mobilenets-experiement", "kernel_id": "44741353"}, {"ref": "yassinebenzekri/dog-after", "kernel_id": "45883355"}, {"ref": "mdismielhossenabir/dog-vs-cat", "kernel_id": "48187821"}, {"ref": "boboliao/bobol", "kernel_id": "51263006"}, {"ref": "yuukiiwakura/2-class-classification-using-pytorch-densenet", "kernel_id": "52989082"}, {"ref": "yuukiiwakura/2-class-classification-using-pytorch-original-cnn", "kernel_id": "53041548"}, {"ref": "yongwookim1/catvsdog-pytorch", "kernel_id": "54728485"}, {"ref": "rizwanash/cat-dog-classification", "kernel_id": "56383101"}, {"ref": "wayand/resnet-kan-for-cat-and-dog-classification", "kernel_id": "59435834"}, {"ref": "wayand/cnn-kan-for-cat-and-dog-classification", "kernel_id": "59325934"}, {"ref": "wayand/vgg16-kan-for-cat-and-dog-classification", "kernel_id": "60099921"}, {"ref": "priyansh2904/vgg16-for-cat-and-dog-classification", "kernel_id": "62569441"}, {"ref": "percival224/notebook5bc6397fa3", "kernel_id": "62447649"}, {"ref": "pes1ug22am124/vgg16-kan-for-cat-and-dog-classification", "kernel_id": "63177880"}, {"ref": "nhthong/notebook417e56681a", "kernel_id": "70583660"}, {"ref": "kurocnguyen/training-dogs-cats", "kernel_id": "71209659"}, {"ref": "kurocnguyen/inference1-dogs-cats", "kernel_id": "71217626"}]}
{"competition_id": "34431", "kernels": []}
{"competition_id": "34439", "kernels": []}
{"competition_id": "34443", "kernels": []}
{"competition_id": "34448", "kernels": [{"ref": "dmitryrekesh/beat-the-benchmark", "kernel_id": "24690547"}, {"ref": "dmitryrekesh/week07-lab-fork-me", "kernel_id": "24690583"}]}
{"competition_id": "34456", "kernels": []}
{"competition_id": "34461", "kernels": []}
{"competition_id": "34478", "kernels": [{"ref": "mpwolke/pythonsnakeclef-2022-macro-f1-score", "kernel_id": "25801878"}, {"ref": "parkjohnychae/snakeclef-2022-starter-effnetb1-training", "kernel_id": "25215740"}, {"ref": "parkjohnychae/check-and-remove-corrupted-files-from-the-metadata", "kernel_id": "25517728"}, {"ref": "mpwolke/python-snakeclef-2022-with-kornia-moons", "kernel_id": "26138733"}, {"ref": "mpwolke/no-jax-or-flax-nor-snakes", "kernel_id": "26137054"}, {"ref": "mpwolke/crotalus-horridus-rattlesnake-cnn", "kernel_id": "26187673"}, {"ref": "priyansupanda/snake-species-eda", "kernel_id": "33358025"}, {"ref": "mahibullahmudaser/snkae-species-classification", "kernel_id": "43515634"}, {"ref": "saharaml1/two-stage-snake-classification", "kernel_id": "100924627"}, {"ref": "pratik368/snake-species-classification-using-vit", "kernel_id": "113190334"}, {"ref": "priyy07/prproject-b10572", "kernel_id": "122476076"}, {"ref": "rounak221bs/validations", "kernel_id": "122279652"}, {"ref": "vinita777/prproject", "kernel_id": "122054021"}]}
{"competition_id": "34493", "kernels": []}
{"competition_id": "34500", "kernels": [{"ref": "joelqv/ppo-simple-model-predicted-current-sales", "kernel_id": "24678377"}, {"ref": "tillwohlfarth/xgboost", "kernel_id": "24675231"}, {"ref": "tillwohlfarth/random-forest-categorical-features-encoded", "kernel_id": "24674381"}, {"ref": "tillwohlfarth/time-series-shared-stock-pllot-example", "kernel_id": "24674827"}]}
{"competition_id": "34503", "kernels": []}
{"competition_id": "34507", "kernels": []}
{"competition_id": "34510", "kernels": [{"ref": "yerramvarun/logistic-regression-sample-starter-notebook", "kernel_id": "24693982"}, {"ref": "towhidultonmoy/mlrw-2022-pycaret", "kernel_id": "24736969"}, {"ref": "elemento/mlrw-2022", "kernel_id": "24738024"}]}
{"competition_id": "34513", "kernels": []}
{"competition_id": "34516", "kernels": []}
{"competition_id": "34519", "kernels": [{"ref": "nthuaiphys2021/lab-04-student-a-id-student-b-id", "kernel_id": "24940925"}, {"ref": "nthuaiphys2021/inclass-exercise-04", "kernel_id": "25184136"}]}
{"competition_id": "34520", "kernels": [{"ref": "nthuaiphys2021/lab-05-student-a-id-student-b-id", "kernel_id": "24942363"}, {"ref": "nthuaiphys2021/inclass-exercise-05", "kernel_id": "25333879"}]}
{"competition_id": "34523", "kernels": []}
{"competition_id": "34524", "kernels": []}
{"competition_id": "34525", "kernels": []}
{"competition_id": "34526", "kernels": []}
{"competition_id": "34531", "kernels": []}
{"competition_id": "34534", "kernels": []}
{"competition_id": "34538", "kernels": [{"ref": "paulorzp/scrape-kenpom-data-2022-final", "kernel_id": "8032490"}, {"ref": "pappukrjha/adding-data-in-the-notebook", "kernel_id": "24873225"}, {"ref": "pappukrjha/eda101-using-dataprep-all-data-files", "kernel_id": "24875498"}, {"ref": "rishirajacharya/mmlm22-men-s-tuned", "kernel_id": "24825147"}, {"ref": "scirpus/jeepy-2022", "kernel_id": "24902168"}, {"ref": "cv13j0/ncaa-gradient-boosted-trees-xgboost", "kernel_id": "24908482"}, {"ref": "toshimelonhead/ncaa-march-madness-sabermetric-spin", "kernel_id": "24808657"}, {"ref": "verracodeguacas/xgboost-kenpom-gagarin-ranks-modified-raddar", "kernel_id": "24798715"}, {"ref": "verracodeguacas/ken-pom-no-leakage-pre-tournament-data-scraper", "kernel_id": "24795850"}, {"ref": "verracodeguacas/perfect-score-0-00000", "kernel_id": "24863050"}, {"ref": "theoviel/using-last-year-s-2nd-place", "kernel_id": "24821610"}, {"ref": "gazu468/eda-of-nncam-2022-with-modeling", "kernel_id": "24823161"}, {"ref": "jazivxt/grafting-rf-trees-mncaa22", "kernel_id": "24812324"}, {"ref": "stpeteishii/2022-college-men-s-basketball-open-tables", "kernel_id": "24871331"}, {"ref": "stpeteishii/2022-college-men-s-basketball-lgbm-0223", "kernel_id": "24873881"}, {"ref": "vickeytomer/men-s-mania-2022-quick-data-exploration", "kernel_id": "24866848"}, {"ref": "santohide/about-evaluation-simple-model-2022-ver", "kernel_id": "24800396"}, {"ref": "jbomitchell/sonas-seed-benchmark-ncaam-2022-stage-2", "kernel_id": "24909998"}, {"ref": "tensorchoko/mania2022-men-s-eda", "kernel_id": "24799927"}, {"ref": "sytuannguyen/mmmania-2022-fast-eda", "kernel_id": "24802678"}, {"ref": "kalilurrahman/2022-march-mania-quick-eda-fe", "kernel_id": "24804326"}, {"ref": "guanhaibin/embrace-the-madness-and-march-towards-victory", "kernel_id": "24910239"}, {"ref": "shuntakinami/blender-model-using-pycaret-ver2", "kernel_id": "24849645"}, {"ref": "towhidultonmoy/march-machine-learning-mania-22-keras-baseline", "kernel_id": "24815238"}, {"ref": "juliarty/bradley-terry-model-and-pymc-for-march-madness", "kernel_id": "24876950"}, {"ref": "hidebu/eda-of-march-machine-learning-mania-2022-men-s", "kernel_id": "24985647"}, {"ref": "barangizagiza/lgbm-baseline-0-69982", "kernel_id": "24958286"}, {"ref": "foolishboi/mmlm2022-lgbm-tuned", "kernel_id": "24892377"}, {"ref": "foolishboi/mmlm2022-eda-all-the-way", "kernel_id": "24824450"}, {"ref": "edwintyh/mmlm22m-dummy-baseline", "kernel_id": "24796471"}, {"ref": "thomashopkins32/season-statistics-for-predicting-mm2022", "kernel_id": "24904878"}, {"ref": "kazuya99986/eda-of-march-machine-learning-mania-2022-men", "kernel_id": "24826220"}, {"ref": "malnedellec/mania-2022-eda", "kernel_id": "24851477"}, {"ref": "pixyz0130/mmlm-men-s-lgbm-baseline", "kernel_id": "24874712"}, {"ref": "pixyz0130/mmlm-women-s-lgbm-baseline", "kernel_id": "24965970"}, {"ref": "baogorek/replicating-stage1-leaderboard-score", "kernel_id": "25161434"}, {"ref": "nswitzer/randomized-seed-based-entry", "kernel_id": "25389314"}, {"ref": "nswitzer/mapping-dominance", "kernel_id": "25307429"}, {"ref": "slayerpark/ncaa-mens-2022-submission", "kernel_id": "25016674"}, {"ref": "davidmezzetti/marchmania-2022", "kernel_id": "25302068"}, {"ref": "davidmezzetti/picking-an-upset-2022", "kernel_id": "25302155"}, {"ref": "shaggy11/feature-engineering-flaml-submission", "kernel_id": "25210014"}, {"ref": "phlynn/more-features-plz", "kernel_id": "25335037"}, {"ref": "chenyubang/ncaa-mmlm-men-autolgbm-lightgbm", "kernel_id": "25785818"}, {"ref": "rsa013/ncaa-tournament-simulation", "kernel_id": "25169945"}, {"ref": "rsa013/ncaa-simulator", "kernel_id": "25169874"}, {"ref": "rsa013/bracket-simulation", "kernel_id": "25311571"}, {"ref": "stpeteishii/2022-college-men-s-team-ratio", "kernel_id": "25111470"}, {"ref": "phanttan/basiceda-2022marchmania", "kernel_id": "25031261"}, {"ref": "phanttan/autolgbm-marchmania2022-men", "kernel_id": "25393143"}, {"ref": "ashimdahal/adnet-pytorch-implementation-for-march-mania-2022", "kernel_id": "25035640"}, {"ref": "e0xextazy/good-baseline", "kernel_id": "25137419"}, {"ref": "nivanovi/mmarchmadness22-lightgbm", "kernel_id": "25031826"}, {"ref": "saraswatitiwari/march-machine-learning-mania-2022-men-s", "kernel_id": "25409046"}, {"ref": "chrislee7132/march-madness", "kernel_id": "25310670"}, {"ref": "pranayteaches/march-mlm-public-lb-1", "kernel_id": "25276661"}, {"ref": "shinkoshi/2nd-place-solution", "kernel_id": "25267449"}, {"ref": "alghanirfan/ncaa-march-madness-random-forest-python", "kernel_id": "25001131"}, {"ref": "axotcc/6th-place-solution-team-embedding", "kernel_id": "25338282"}, {"ref": "thomashopkins32/previous-game-stats-for-predicting-mm2022", "kernel_id": "25311179"}, {"ref": "masaishi/get-tournament-result-from-prediction", "kernel_id": "25416076"}, {"ref": "fritzcremer/17th-place-solution", "kernel_id": "25408916"}, {"ref": "amirghazi/raddarr", "kernel_id": "25414937"}, {"ref": "jillanisofttech/march-machine-learning-mania-2022-men-s", "kernel_id": "25302362"}, {"ref": "shigeeeru/2022-basket-teamrating-eda", "kernel_id": "25216112"}, {"ref": "shigeeeru/submission-tutorial-with-markov-model", "kernel_id": "25063238"}, {"ref": "shigeeeru/sample-markov-model", "kernel_id": "25057910"}, {"ref": "yukikoganei/implements-elo-ratings", "kernel_id": "25156062"}, {"ref": "pixyz0130/mmlm-men-autolgbm", "kernel_id": "25134403"}, {"ref": "revrei/mncaa2022-stage1-eda-japanese", "kernel_id": "25034038"}, {"ref": "ninakamkia228/ncaa-2022-men", "kernel_id": "25405060"}, {"ref": "jtrotman/winning-submission-improved-to-0-498", "kernel_id": "26074446"}, {"ref": "tomy4reel/5th-place-solution-men-s-competition", "kernel_id": "26085299"}, {"ref": "ryanegbert/simple-model-with-espn-scraped-data", "kernel_id": "26081726"}, {"ref": "fritzcremer/merged-lb-for-the-men-and-women-competition", "kernel_id": "26108534"}, {"ref": "ayushjain001/march-mania-2022", "kernel_id": "26111732"}, {"ref": "bearcater/march-machine-learning-mania-2022-men-s", "kernel_id": "26542934"}, {"ref": "barakbester/notebook39bf9979e8", "kernel_id": "31891935"}, {"ref": "jinyoonpark/march-machine-learning-mania-2022-men-s", "kernel_id": "32824902"}, {"ref": "indiana31/kaggle-tutorial-marchmadness", "kernel_id": "33141415"}, {"ref": "fauzanmohammed/march-mania", "kernel_id": "34365597"}, {"ref": "scottmerrill7/lots-of-madness", "kernel_id": "35985535"}, {"ref": "publicmikewang/march-madness-model-prediction", "kernel_id": "35337823"}]}
{"competition_id": "34542", "kernels": [{"ref": "rishirajacharya/mmlm22-women-tuned", "kernel_id": "24820738"}, {"ref": "scirpus/jeepy-w-2022", "kernel_id": "24902347"}, {"ref": "cv13j0/ncaa-woman-s-gradient-boosted-trees-xgboost", "kernel_id": "24974721"}, {"ref": "verracodeguacas/xgboost-with-raddar-s-methodology-and-overrides", "kernel_id": "24795997"}, {"ref": "verracodeguacas/perfect-score-0-0000", "kernel_id": "24863373"}, {"ref": "theoviel/using-last-year-s-2nd-place", "kernel_id": "24821610"}, {"ref": "jazivxt/grafting-rf-trees-wncaa22", "kernel_id": "24811872"}, {"ref": "stpeteishii/2022-college-women-s-basketball-open-tables", "kernel_id": "24822320"}, {"ref": "stpeteishii/2022-college-women-s-basketball-lgbm-0223", "kernel_id": "24903174"}, {"ref": "vickeytomer/womens-march-mania-2022-data-exploration", "kernel_id": "24867774"}, {"ref": "jbomitchell/sonas-seed-benchmark-ncaaw-2022-stage-2", "kernel_id": "24907482"}, {"ref": "tensorchoko/mania2022-women-s-eda", "kernel_id": "24799426"}, {"ref": "sytuannguyen/wmmania-2022-fast-eda", "kernel_id": "24800312"}, {"ref": "kalilurrahman/2022-march-mania-quick-eda-fe", "kernel_id": "24804326"}, {"ref": "nafisaalam1711656642/women-basketball-tournament-predictions", "kernel_id": "24842320"}, {"ref": "juliarty/bradley-terry-model-and-pymc-for-march-madness", "kernel_id": "24876950"}, {"ref": "pixyz0130/mmlm-women-s-lgbm-baseline", "kernel_id": "24965970"}, {"ref": "rahulkumarvarma/march-mania-2022", "kernel_id": "24819703"}, {"ref": "concyclics/mmlm22-women-tuned", "kernel_id": "24986443"}, {"ref": "nswitzer/seeds-as-only-input", "kernel_id": "25389914"}, {"ref": "shaggy11/wncaa-feature-engineering-autolgbm", "kernel_id": "25250884"}, {"ref": "rsa013/ncaa-simulator", "kernel_id": "25169874"}, {"ref": "rsa013/bracket-simulation", "kernel_id": "25311571"}, {"ref": "abhinavkum/march-mania-2022-eda", "kernel_id": "25187669"}, {"ref": "stpeteishii/2022-college-women-s-teams-network", "kernel_id": "25218542"}, {"ref": "stpeteishii/2022-college-women-s-team-ratio", "kernel_id": "25113399"}, {"ref": "nivanovi/wmarchmadness22-lightgbm-r", "kernel_id": "25016426"}, {"ref": "saraswatitiwari/march-machine-learning-mania-2022-women-s", "kernel_id": "25046590"}, {"ref": "juliocisneros/women-s-logit", "kernel_id": "25442373"}, {"ref": "pvtrmalli/2022-march-mania-eda-first-look", "kernel_id": "25163703"}, {"ref": "axotcc/6th-place-solution-team-embedding", "kernel_id": "25338282"}, {"ref": "redeyes0007/woman-world-cup-cempintship-pridiction-2022", "kernel_id": "25194271"}, {"ref": "shigeeeru/2022-basket-teamrating-eda", "kernel_id": "25216112"}, {"ref": "shigeeeru/sample-markov-model-women", "kernel_id": "25063842"}, {"ref": "shigeeeru/submission-tutorial-with-markov-model", "kernel_id": "25063238"}, {"ref": "shigeeeru/submission-tutorial-women-simulation-approach", "kernel_id": "25064686"}, {"ref": "pixyz0130/mmlm-women-autolgbm", "kernel_id": "25142461"}, {"ref": "jtrotman/2nd-place-ncaaw-2022", "kernel_id": "26089582"}, {"ref": "tmerry/2022-women-s-march-mania-predictions", "kernel_id": "26134191"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "scottmerrill7/lots-of-madness", "kernel_id": "35985535"}, {"ref": "publicmikewang/march-madness-model-prediction", "kernel_id": "35337823"}]}
{"competition_id": "34547", "kernels": [{"ref": "fortelean/get-clean-masks", "kernel_id": "22813471"}, {"ref": "krishnakalyan3/eda-prostate-image", "kernel_id": "28922480"}, {"ref": "yassinealouini/cropping-for-segmentation", "kernel_id": "28436509"}, {"ref": "yassinealouini/working-with-tiff-files", "kernel_id": "28162328"}, {"ref": "manojprabhaakr/hubmap-pytorch-fast-ai-starter", "kernel_id": "28786597"}, {"ref": "manojprabhaakr/hubmap-fast-ai-inference", "kernel_id": "28796930"}, {"ref": "hasangam/training-simple-fastai-baseline", "kernel_id": "28379665"}, {"ref": "tmyok1984/hubmap-hpa-stratifiedkfold-cv", "kernel_id": "28492469"}, {"ref": "ksooklall/hubmap-hpa-eda-and-preprocessing", "kernel_id": "28194077"}, {"ref": "anubhav1302/slicedimages-dump", "kernel_id": "28199381"}, {"ref": "soumikrakshit/a-tensorflow-pipeline-for-segmentation", "kernel_id": "28189046"}, {"ref": "hoomanmisaghi/prepare-tfrecord-for-tiled-dataset", "kernel_id": "28634475"}, {"ref": "skalskip/hubmap-hpa-eda-data-processing", "kernel_id": "28760681"}, {"ref": "rhtsingh/hubmap-hpa-exploratory-data-analysis", "kernel_id": "28161123"}, {"ref": "electro/hubmap-hpa-data-exploration", "kernel_id": "28794767"}, {"ref": "yashvrdnjain/background-information", "kernel_id": "28160898"}, {"ref": "awaldeep/first-look-eda-in-depth", "kernel_id": "28286637"}, {"ref": "dschettler8845/hubmap-hpa-organ-segmentation-basic-submission", "kernel_id": "28261722"}, {"ref": "dschettler8845/eda-hubmap-hpa-organ-segmentation", "kernel_id": "28184392"}, {"ref": "dschettler8845/create-tiled-dataset-hacking-the-human-body", "kernel_id": "28339581"}, {"ref": "utm529fg/eng-eda-hubmap-hpa-data", "kernel_id": "28295216"}, {"ref": "tarandeep97/initial-eda-and-visualization", "kernel_id": "28281585"}, {"ref": "hemanth012/basic-eda-visualization", "kernel_id": "28820708"}, {"ref": "mightyrains/hubmap-hpa-predict-gender-age", "kernel_id": "28206439"}, {"ref": "ayuraj/tensorflow-working-with-tiff", "kernel_id": "28164763"}, {"ref": "melissachua/inference-fastai-baseline", "kernel_id": "28822176"}, {"ref": "gray98/pspnet-torch-baseline", "kernel_id": "28854405"}, {"ref": "gray98/stain-normalization-color-transfer", "kernel_id": "28900251"}, {"ref": "susnato/hubmap-hpa-fpn-starter-tf", "kernel_id": "28294187"}, {"ref": "sohaibanwaar1203/polygons-and-masks-visualisation", "kernel_id": "28252438"}, {"ref": "friedchips/fast-fully-correct-hubmap-v2-rle-encoding", "kernel_id": "28182025"}, {"ref": "abhinand05/hubmap-extensive-eda-what-are-we-hacking", "kernel_id": "28195770"}, {"ref": "ermak9/samplesubmission", "kernel_id": "28260288"}, {"ref": "gunesevitan/hubmap-hpa-hacking-the-human-body-inference", "kernel_id": "28753719"}, {"ref": "tt195361/hubmap-hpa-walk-around-data", "kernel_id": "28589288"}, {"ref": "phanttan/hubmap-hpa-eda", "kernel_id": "28293212"}, {"ref": "phanttan/what-is-dice-coefficient", "kernel_id": "28267139"}, {"ref": "carnozhao/hpa-data-download", "kernel_id": "28893326"}, {"ref": "mpwolke/hacking-human-body-gdal", "kernel_id": "28216955"}, {"ref": "seraphwedd18/hubseg-dnn-approach", "kernel_id": "28299431"}, {"ref": "seraphwedd18/pytorch-unet-from-scratch", "kernel_id": "28560783"}, {"ref": "seraphwedd18/hubmap-hpa-using-keras-unet", "kernel_id": "28981494"}, {"ref": "alejopaullier/how-to-create-a-coco-dataset", "kernel_id": "28789046"}, {"ref": "quandapro/sliding-window-with-importance-map-inference", "kernel_id": "28817179"}, {"ref": "p4rallax/hubmap-hpa-pytorch-baseline-w-tiles-stratifiedkf", "kernel_id": "28842813"}, {"ref": "p4rallax/inference-baseline", "kernel_id": "28984993"}, {"ref": "befunny/hubmap-fast-ai-starter-efficientnet", "kernel_id": "28636190"}, {"ref": "arunpurakkatt/eda-image-processing-visualization", "kernel_id": "28805594"}, {"ref": "abebe9849/swin-v2-unet-upernet", "kernel_id": "28247109"}, {"ref": "soumya9977/hubmap-vanilla-unet-w-b-pytorch-2-3-train", "kernel_id": "28693935"}, {"ref": "soumya9977/hubmap-multiorgan-segmentation-1-3-data-prep", "kernel_id": "28161409"}, {"ref": "queyrusi/vanilla-submission-seresnext50", "kernel_id": "28166723"}, {"ref": "dinowun/eda-simplified-hubmap-hpa-organ-segmentation", "kernel_id": "28161018"}, {"ref": "vivek61/hubmap-hpa-eda-model-building", "kernel_id": "28226989"}, {"ref": "adnanpen/hubmap-hpa-custom-vanilla-unet", "kernel_id": "28302142"}, {"ref": "aleksandrkruchinin/tpu-hubmap-hpa-train-tensorflow", "kernel_id": "28366463"}, {"ref": "aleksandrkruchinin/hubmap-hpa-images-tfrecords", "kernel_id": "28366051"}, {"ref": "aleksandrkruchinin/gpu-hubmap-hpa-tensorflow-submission", "kernel_id": "28420975"}, {"ref": "girinchutia01/hubmap-hpa-data-structuring-visualization", "kernel_id": "28831823"}, {"ref": "nishantbhansali/hubmap-inferenc-dataloaders", "kernel_id": "28275440"}, {"ref": "nishantbhansali/the-best-library-for-reading-tiff-files", "kernel_id": "28331860"}, {"ref": "nishantbhansali/train-hubmap-part-1-256x256", "kernel_id": "28340381"}, {"ref": "nishantbhansali/inference-hubmap-part-1", "kernel_id": "28341794"}, {"ref": "nishantbhansali/testing-swin-transformers", "kernel_id": "28580986"}, {"ref": "nishantbhansali/train-swintransformerv2-hubmap", "kernel_id": "28523158"}, {"ref": "nishantbhansali/submission-blob-detection-circlemask", "kernel_id": "28979680"}, {"ref": "markwijkhuizen/hubmap-patched-tfrecord-generation-visualization", "kernel_id": "28775381"}, {"ref": "markwijkhuizen/hubmap-hpa-hacking-the-human-body-training", "kernel_id": "28239397"}, {"ref": "albertozorzetto/training-hubmap-dlv3-w-tiles", "kernel_id": "28619729"}, {"ref": "albertozorzetto/inference-hubmap-dlv3-w-tiles", "kernel_id": "28862606"}, {"ref": "ishandutta/hubmap-complete-understanding-and-eda-w-b", "kernel_id": "28161508"}, {"ref": "ishandutta/hubmap-advance-data-augmentations-w-b", "kernel_id": "28581557"}, {"ref": "akshatdevve/organ-segmentation", "kernel_id": "28339037"}, {"ref": "pedroprez/model-segmentation-models-pytorch", "kernel_id": "28311066"}, {"ref": "pedroprez/bbox-and-masks-visualisation", "kernel_id": "28266886"}, {"ref": "muki2003/submission-hubmap-hpa-deep-learning", "kernel_id": "28429941"}, {"ref": "muki2003/hubmap-tensorflow-eda-loss-function", "kernel_id": "28178811"}, {"ref": "muki2003/hubmap-hpa-deep-learning-unet-cnn", "kernel_id": "28186615"}, {"ref": "muki2003/resizing-tiff-image-size", "kernel_id": "28223072"}, {"ref": "piyush369/eda-hubmap-hpa-w-b", "kernel_id": "28190493"}, {"ref": "jirkaborovec/ftus-segm-decompose-large-images-tiles", "kernel_id": "28325625"}, {"ref": "jirkaborovec/ftus-segm-eda-export-rle-mask", "kernel_id": "28191266"}, {"ref": "jirkaborovec/ftus-segm-baseline-flash-unet-tiled-aug-imgs", "kernel_id": "28191754"}, {"ref": "manojkumars00/hacking-the-human-body-data-gen-model-archi", "kernel_id": "28234493"}, {"ref": "francescvivpascual/hubmap-model-training-using-monai", "kernel_id": "28180999"}, {"ref": "prakashjyy/hubmap-data-understanding", "kernel_id": "28266390"}, {"ref": "mohammaddehghan/hubmap-hpa-analyzing-exploratory-data", "kernel_id": "28161521"}, {"ref": "bibhabasumohapatra/inference-hubmap-sliding-inference-256x256", "kernel_id": "28672557"}, {"ref": "bibhabasumohapatra/train-hubmap-resized-images", "kernel_id": "28859700"}, {"ref": "bibhabasumohapatra/inference-hubmap-resized-images", "kernel_id": "28960181"}, {"ref": "bibhabasumohapatra/hubmap-train-part-1", "kernel_id": "28216338"}, {"ref": "bibhabasumohapatra/train-hubmap-hpa-hacking-the-human-body", "kernel_id": "28245957"}, {"ref": "bibhabasumohapatra/functions-for-patching-and-un-patching-images", "kernel_id": "28293281"}, {"ref": "bibhabasumohapatra/fork-of-fork-of-inference-hubmap-segformer", "kernel_id": "28619371"}, {"ref": "bibhabasumohapatra/inference-segformer-sliding-inference-512x512", "kernel_id": "28621017"}, {"ref": "praveenck036/using-monai", "kernel_id": "28589551"}, {"ref": "robbynevels/visualizing-tissue-from-each-organ", "kernel_id": "28266638"}, {"ref": "temuujinerdene/augmentation-with-generated-artifacts", "kernel_id": "28356569"}, {"ref": "nghihuynh/stain-normalization-staingan-stainnet", "kernel_id": "28963120"}, {"ref": "nghihuynh/hubmap-hpa-exploratory-data-analysis", "kernel_id": "28231630"}, {"ref": "rahulgolder/monai-attentionunet-train-infer", "kernel_id": "28848933"}, {"ref": "mohamedbakrey/hubmap-hpa-using-deep-learning", "kernel_id": "28789614"}, {"ref": "shubhikant/hubmap-hpa-eda", "kernel_id": "28213045"}, {"ref": "hogyeong/hubmap-hpa-hhb-eda", "kernel_id": "28768384"}, {"ref": "vexxingbanana/hubmap-unet-w-256x256-crops-infer", "kernel_id": "28301818"}, {"ref": "vexxingbanana/hubmap-unet-w-256x256-crops-train", "kernel_id": "28243169"}, {"ref": "vexxingbanana/hubmap-unet-semantic-approach-infer", "kernel_id": "28221734"}, {"ref": "vexxingbanana/hubmap-unet-semantic-approach-train", "kernel_id": "28203749"}, {"ref": "jay9777/hubmp-mask", "kernel_id": "28817391"}, {"ref": "baptistejoseph/hubmap-hpa-notebook", "kernel_id": "28806427"}, {"ref": "jeontaeyang/ais-seoultech", "kernel_id": "28509771"}, {"ref": "sungjunghwan/loss-function-of-image-segmentation", "kernel_id": "28798553"}, {"ref": "sungjunghwan/dice-coefficient-for-image-segmetation", "kernel_id": "28816989"}, {"ref": "sungjunghwan/eda-organ-segmentation-eda", "kernel_id": "28355624"}, {"ref": "sungjunghwan/fastai-baseline-fast-ai", "kernel_id": "28615430"}, {"ref": "vmuzhichenko/hubmap-hpa-tf-unet-infer", "kernel_id": "28757409"}, {"ref": "vmuzhichenko/hubmap-hpa-tf-unet-train", "kernel_id": "28755286"}, {"ref": "starlighter/almost-bronze-eda-hubmap", "kernel_id": "28297233"}, {"ref": "arnavr10880/all-about-dice-coefficient", "kernel_id": "28223361"}, {"ref": "clemchris/hubmap-pytorch-train", "kernel_id": "28452940"}, {"ref": "clemchris/hubmap-pytorch-smp-train-infer", "kernel_id": "28952657"}, {"ref": "clemchris/download-hpa-he-stained-full-tissue-sections", "kernel_id": "28989789"}, {"ref": "clemchris/hubmap-pytorch-monai-train-infer", "kernel_id": "28741808"}, {"ref": "clemchris/hubmap-downloads", "kernel_id": "28775378"}, {"ref": "yuliknormanowen/ucode-hubmap-efficientnet-submission", "kernel_id": "28954982"}, {"ref": "yuliknormanowen/hubmap-efficientnet-train", "kernel_id": "28989385"}, {"ref": "fortelean/create-coco-dataset-for-hacking-the-human-body", "kernel_id": "28942647"}, {"ref": "suqizhang/fork-of-inference-fastai-baseline", "kernel_id": "28529307"}, {"ref": "huyidao/infer1", "kernel_id": "28891274"}, {"ref": "huyidao/infer2", "kernel_id": "28900941"}, {"ref": "taeyeongbak/training-fastai-baseline", "kernel_id": "28568827"}, {"ref": "abhishek123maurya/visualizing-mask-over-images", "kernel_id": "28247259"}, {"ref": "shuheiakahane/inference-hubmap-fast-ai-starter-efficientnet", "kernel_id": "28790888"}, {"ref": "bradhammond/hubmap-test-build-of-u-net-cnn", "kernel_id": "28542468"}, {"ref": "qiaochu02/training-fastai-resize-pre-trained-a-v1", "kernel_id": "28943445"}, {"ref": "qiaochu02/resize-expansion", "kernel_id": "28942814"}, {"ref": "qiaochu02/training-fastai-baseline-resize", "kernel_id": "28917406"}, {"ref": "noyonkhan/fork-of-inference-fastai-baseline", "kernel_id": "28562677"}, {"ref": "shariful07/fork-hubmap-quick-exploratory-data-analysis", "kernel_id": "28286241"}, {"ref": "camillagretschel/hubmap-organ-segmentation", "kernel_id": "28479217"}, {"ref": "kleinliu/hubmap-with-early-stoping-trainning-test", "kernel_id": "28915294"}, {"ref": "thedevastator/hubmap-quick-eda", "kernel_id": "28160803"}, {"ref": "thedevastator/inference-fastai-baseline", "kernel_id": "28162605"}, {"ref": "thedevastator/training-fastai-baseline", "kernel_id": "28161940"}, {"ref": "thedevastator/converting-to-256x256", "kernel_id": "28161353"}, {"ref": "sunandwater/hubmap-pytorch-train", "kernel_id": "28945195"}, {"ref": "sunandwater/hubmap-data-visualization", "kernel_id": "28842382"}, {"ref": "doyeonkimm/training-fastai-baseline-512x512-tile-resize", "kernel_id": "28948035"}, {"ref": "chu003/training-resize-pre-trained-effnet", "kernel_id": "28977988"}, {"ref": "hengck23/lb-0-80-coat-small-parallel-at-1024", "kernel_id": "29653815"}, {"ref": "hengck23/lb-0-78-coat-with-no-decoder", "kernel_id": "29511899"}, {"ref": "hengck23/lb-0-75-variable-size-swin-transformer-v1-and-v2", "kernel_id": "29055479"}, {"ref": "shir0mani/hubmap-stain-transfer-w-pix2pix-pytorch", "kernel_id": "29123717"}, {"ref": "snaker/hpainfer", "kernel_id": "29915343"}, {"ref": "lhd0430/hubmap-hpa-hacking-the-human-body-detectron2", "kernel_id": "29828544"}, {"ref": "dingyan/hubmap-images-and-masks-original-size-3000x3000", "kernel_id": "29297017"}, {"ref": "dingyan/hubmap-unet-like-model-baseline-with-keras", "kernel_id": "29334299"}, {"ref": "dingyan/hubmap-efficientnet-unet-with-data-augmentation", "kernel_id": "29612577"}, {"ref": "dingyan/hubmap-efficientnet-unet-inference", "kernel_id": "29614188"}, {"ref": "electro/stratified-kfold-tiles-and-tfrecords", "kernel_id": "29056424"}, {"ref": "vladimirsydor/hubmap-2021-inference-v1", "kernel_id": "29089610"}, {"ref": "utm529fg/eng-hubmap-edge-detection", "kernel_id": "29939327"}, {"ref": "utm529fg/eng-hubmap-hpa-analysis-ftu-count-size", "kernel_id": "29588282"}, {"ref": "utm529fg/eng-hubmap-hpa-visualize-all-train-data", "kernel_id": "29562702"}, {"ref": "utm529fg/eng-hubmap-hpa-filter-by-fourier-transform", "kernel_id": "29550394"}, {"ref": "yingpengchen/hubmap-data-download", "kernel_id": "29501760"}, {"ref": "rishoban/transfer-learning-using-mobilenet-v2", "kernel_id": "29533311"}, {"ref": "aruaru0/inference-segformer-oneshot", "kernel_id": "29700403"}, {"ref": "aruaru0/inference-segformer-oneshot-emsemble", "kernel_id": "29814072"}, {"ref": "aruaru0/inference-clahe-segformer-oneshot", "kernel_id": "29921068"}, {"ref": "aruaru0/f1-hubmap-training-tf-tpu-efficientnet-b8-640", "kernel_id": "29898302"}, {"ref": "aruaru0/hubmap-inference-tf-tpu-efficientnet-b8-640-640", "kernel_id": "29896928"}, {"ref": "aruaru0/hubmap-inference-segformer-efficientnetb8", "kernel_id": "29992634"}, {"ref": "gray98/learning-with-noisy-label", "kernel_id": "29642045"}, {"ref": "gray98/pspnet-pytorch", "kernel_id": "29626678"}, {"ref": "ermak9/fullmask", "kernel_id": "29475973"}, {"ref": "gunesevitan/pixel-size-and-tissue-thickness-domain-adaptation", "kernel_id": "29405277"}, {"ref": "gunesevitan/hubmap-hpa-hacking-the-human-body-images", "kernel_id": "29375659"}, {"ref": "deltaechov/dataset-resize-hack-human-body", "kernel_id": "29360139"}, {"ref": "deltaechov/fastai-train1-hacking-human-body", "kernel_id": "29789576"}, {"ref": "seraphwedd18/hubmap-hpa-gpu-train-1024px-model-submission", "kernel_id": "29440720"}, {"ref": "nkaria1/human-body-data-viz", "kernel_id": "29852796"}, {"ref": "edomingo/hubmap-v1", "kernel_id": "29923404"}, {"ref": "e0xextazy/multiclass-dataset-768x768-with-stride-for-mmseg", "kernel_id": "29896480"}, {"ref": "soumya9977/hubmap-vanilla-unet-pytorch-3-3-inference", "kernel_id": "29029155"}, {"ref": "adikaboost/hubmap-simple-eda", "kernel_id": "29619326"}, {"ref": "meenakshiramaswamy/creation-of-patches-using-monai", "kernel_id": "29645937"}, {"ref": "b11gden/hubmap-hpa-simple-pytorch-baseline", "kernel_id": "29335679"}, {"ref": "matakaggle/pip-install-without-internet", "kernel_id": "29638020"}, {"ref": "adnanpen/hubmap-hpa-dichotomous-image-segmentation", "kernel_id": "29786396"}, {"ref": "alexeyolkhovikov/segformer-inference-0-70-lb-simple-tta", "kernel_id": "29206578"}, {"ref": "alexeyolkhovikov/segformer-training", "kernel_id": "29787595"}, {"ref": "nishantbhansali/inference-hubmap-resized-images", "kernel_id": "29032694"}, {"ref": "nishantbhansali/inference-hubmap-resized-images-768", "kernel_id": "29071048"}, {"ref": "nishantbhansali/train-hubmap-resized-images-768", "kernel_id": "29066174"}, {"ref": "nishantbhansali/train-hubmap-resized-images-mixupsample", "kernel_id": "29091443"}, {"ref": "nishantbhansali/b3-inference-hubmap-final-for-lb-part-2", "kernel_id": "29273512"}, {"ref": "nishantbhansali/fork-of-inference-hubmap-resized-images", "kernel_id": "29194223"}, {"ref": "nishantbhansali/train-hubmap-final-for-lb-part-2", "kernel_id": "29204386"}, {"ref": "nishantbhansali/inference-hubmap-final-for-lb-part-2", "kernel_id": "29213520"}, {"ref": "nishantbhansali/rank-80th-train-coat-hubmap-final-for-lb-part-3", "kernel_id": "29732648"}, {"ref": "markwijkhuizen/hubmap-inference-tf-tpu-efficientnet-b7-640x640", "kernel_id": "29582186"}, {"ref": "markwijkhuizen/hubmap-training-tf-tpu-efficientnet-b7-640x640", "kernel_id": "29579671"}, {"ref": "tscheung/lb-0-74-tf-tpu-efficientnet-b8-640-640", "kernel_id": "29958395"}, {"ref": "vrajmistry/human-hacking-kaggle", "kernel_id": "29547823"}, {"ref": "deepalimish/eda-of-hubmap-hpa-hacking-the-human-body", "kernel_id": "29402217"}, {"ref": "saharshbarve/train-mit-b2-segformer", "kernel_id": "29808900"}, {"ref": "saharshbarve/infer-segformer-mit-b2", "kernel_id": "29814070"}, {"ref": "alincijov/training-hubmap-lb-0-75-swin-transformer-v1", "kernel_id": "29075790"}, {"ref": "jirkaborovec/ftus-segm-lightning-flash-tiled-inference", "kernel_id": "29332562"}, {"ref": "maunilshah/hubmap-intro-to-segmentation", "kernel_id": "29023383"}, {"ref": "soymilkk/hubmap-unet", "kernel_id": "29587958"}, {"ref": "bibhabasumohapatra/rank-80-train-hubmap-resized-images-part-2", "kernel_id": "29023099"}, {"ref": "bibhabasumohapatra/inference-hubmap-resized-images-part-2", "kernel_id": "29194041"}, {"ref": "bibhabasumohapatra/rank-80-inference-hubmap-final-for-lb-part-2", "kernel_id": "29702875"}, {"ref": "fuckvenkatraman/upernet-swin-submissions", "kernel_id": "29430048"}, {"ref": "aleksandrmogilevskiy/baseline", "kernel_id": "29677468"}, {"ref": "qi0239/fork-o-inference-thr", "kernel_id": "29527634"}, {"ref": "nghihuynh/wsi-preprocessing-tiling-tissue-segmentation", "kernel_id": "29412159"}, {"ref": "nghihuynh/understanding-evaluation-metrics-in-segmentation", "kernel_id": "29560884"}, {"ref": "nghihuynh/data-augmentation-laplacian-pyramid-blending", "kernel_id": "29233371"}, {"ref": "akshatpattiwar/hubmap-tensorflow", "kernel_id": "29936509"}, {"ref": "slavkoprytula/hubmap-hpa-3-2-2-infer", "kernel_id": "29974146"}, {"ref": "ravishah1/measuring-functional-tissue-units", "kernel_id": "29908796"}, {"ref": "ageage/hubmap-inference", "kernel_id": "29498925"}, {"ref": "pepbravo/hubmap-hba-eda-and-tiled-dataset", "kernel_id": "29121145"}, {"ref": "samundersingh/semetic-image", "kernel_id": "29677216"}, {"ref": "ahmedmohamed11/hubmap-hpa-using-keras-unet", "kernel_id": "29123111"}, {"ref": "ahmedmohamed11/hubmap-organ-segmention", "kernel_id": "29105399"}, {"ref": "mribme/coat-submit", "kernel_id": "29605320"}, {"ref": "aahut90/hubmap-hpa", "kernel_id": "29124662"}, {"ref": "steelejake/extended-data-augmentation-lpb-saving", "kernel_id": "29279000"}, {"ref": "aravindanr22052001/hubmap-tensorflow-with-pytroch", "kernel_id": "29468092"}, {"ref": "masterray/hubmap-inference-tf-tpu-efficientnet-b8-640-640", "kernel_id": "29859080"}, {"ref": "masterray/hubmap-training-tf-tpu-efficientnet-b8-640-640", "kernel_id": "29858375"}, {"ref": "yusaku5739/stain-normalized-dataset-768-768", "kernel_id": "29644436"}, {"ref": "yusaku5739/image-adaptive-equalization-by-clahe", "kernel_id": "29991751"}, {"ref": "bhuynguyn/training-pranet", "kernel_id": "29579863"}, {"ref": "sungjunghwan/stain-transfer-generalization", "kernel_id": "29086109"}, {"ref": "danhoang/hubmap-eda-inference", "kernel_id": "29746806"}, {"ref": "suhaila21/notebookdef621feee", "kernel_id": "29516515"}, {"ref": "naokisugimura/hubmap-hpa-quick-visualization-torch-model", "kernel_id": "29590004"}, {"ref": "w3579628328/mmsegmentation-lb0-78-inference-1-5folds", "kernel_id": "29221693"}, {"ref": "w3579628328/mmsegmentation-trainning", "kernel_id": "29036855"}, {"ref": "w3579628328/multi-class-mmsegmentation-training", "kernel_id": "29132508"}, {"ref": "w3579628328/multi-class-dataset-for-mmsegmentation", "kernel_id": "29125427"}, {"ref": "yuliknormanowen/hubmap-hap-swintransformer-v1-unet-768-train", "kernel_id": "29327991"}, {"ref": "yuliknormanowen/hubmap-hap-swintransformer-v2-unet-256-train", "kernel_id": "29364134"}, {"ref": "yuliknormanowen/hubmap-hap-efficientnet-unet-768-train", "kernel_id": "29362556"}, {"ref": "yuliknormanowen/hubmap-hap-swintransformer-v1-unet-768-submission", "kernel_id": "29365652"}, {"ref": "yuliknormanowen/hubmap-hap-efficientnet-unet-256-submission", "kernel_id": "29011816"}, {"ref": "yuliknormanowen/hubmap-hap-swintransformer-v2-unet-256-submission", "kernel_id": "29269757"}, {"ref": "yuliknormanowen/hubmap-hap-efficientnet-unet-768-submission", "kernel_id": "29249404"}, {"ref": "yuliknormanowen/hubmap-hap-efficientnet-unet-256-train", "kernel_id": "29198737"}, {"ref": "fortelean/patchinference", "kernel_id": "29085414"}, {"ref": "johnnyt2/unet-hubmap-resnet-submission", "kernel_id": "29093789"}, {"ref": "pengbing/data-exploration", "kernel_id": "29192615"}, {"ref": "yuujin/notebookf855cc760a", "kernel_id": "29892113"}, {"ref": "koshiroterasawa/inference-fastai-baseline", "kernel_id": "29730124"}, {"ref": "koshiroterasawa/visualize", "kernel_id": "29890014"}, {"ref": "vadimabronin/segmentation-baseline-i", "kernel_id": "29739586"}, {"ref": "shyepochlxl/baseline0", "kernel_id": "29858784"}, {"ref": "cenxun/inference-hubmap-fast-ai-starter-efficie-9cd461", "kernel_id": "29776627"}, {"ref": "arnavchakravarthy/fast-augmentations-multiprocessing-albumentations", "kernel_id": "29060486"}, {"ref": "arnavchakravarthy/tiling-fast-augmentations-chunks-multithreading", "kernel_id": "29437072"}, {"ref": "tinvonguyenan/extract-5-type-to-csv-file-and-image-folder", "kernel_id": "29677040"}, {"ref": "tinvonguyenan/notebook1dc07f5af4", "kernel_id": "29814239"}, {"ref": "qiaochu02/inference-fastai-baseline-stain-all", "kernel_id": "29092938"}, {"ref": "florentgiaccherini/hubmap-hpa-exploratory-analysis", "kernel_id": "29501964"}, {"ref": "florentgiaccherini/hubmap-hpa-model-traning-manet-with-pytorch", "kernel_id": "29503474"}, {"ref": "jiseongok/training-fastai-baseline-with-resnest269", "kernel_id": "29918781"}, {"ref": "jiseongok/inference-fastai-baseline-with-resnest", "kernel_id": "29919829"}, {"ref": "yoontaewoo/hubmap-eda", "kernel_id": "29646072"}, {"ref": "riverskin/new-inference", "kernel_id": "29646576"}, {"ref": "bulivington/hubmap-mmsegmentation-trainning", "kernel_id": "29989289"}, {"ref": "zwzwsun/notile-unet-w-256x256-crops-train", "kernel_id": "29887328"}, {"ref": "zwzwsun/tiled-changed-others-infer", "kernel_id": "29805399"}, {"ref": "zwzwsun/mymixed-tiled-unet-w-256x256-crops-train", "kernel_id": "29981643"}, {"ref": "zwzwsun/notile-visualize-unet-semantic-infer", "kernel_id": "29983059"}, {"ref": "s0mes0me/for-analysis-data", "kernel_id": "29931458"}, {"ref": "konomuabe/view-with-gimp", "kernel_id": "29645702"}, {"ref": "konomuabe/images-with-annotation", "kernel_id": "29674227"}, {"ref": "uihiughiuh/training-fastai-datasetv1", "kernel_id": "29381874"}, {"ref": "hengck23/lb0-83-submit", "kernel_id": "30009528"}, {"ref": "victorsd/2nd-place-inference", "kernel_id": "30090482"}, {"ref": "huythach/hubmap-tile-patch-data", "kernel_id": "30603762"}, {"ref": "shionhonda/hubmap-hpa-compare-masks-and-predictions", "kernel_id": "30207966"}, {"ref": "shionhonda/hubhpa-train-dlv3p-enb4", "kernel_id": "30297731"}, {"ref": "shionhonda/hubhpa-infer-sf-mitb2", "kernel_id": "30496708"}, {"ref": "shionhonda/hubhpa-train-sf-mitb2", "kernel_id": "30466429"}, {"ref": "utm529fg/eng-hubmap-incorrect-extra-small-ftu", "kernel_id": "30298638"}, {"ref": "aruaru0/inference-segformer-effb8-b7", "kernel_id": "30427197"}, {"ref": "aruaru0/inference-segfx2-effb7-b8-b7", "kernel_id": "30337907"}, {"ref": "aruaru0/inference-segformer-oneshot-768", "kernel_id": "30210184"}, {"ref": "aruaru0/inference-segformer-b8-b7", "kernel_id": "30569669"}, {"ref": "aruaru0/fork-of-inference-segfx2-effb7-b8-b7", "kernel_id": "30569946"}, {"ref": "gray98/will-noisy-label-impede-the-performance-of-models", "kernel_id": "30738783"}, {"ref": "tomp1121/mmsegmentation-inference", "kernel_id": "30087010"}, {"ref": "black1848/v1-coat-inference", "kernel_id": "30209987"}, {"ref": "bhavesjain/hubmap-hpa-data-prep", "kernel_id": "30279087"}, {"ref": "jamesphoward/hubmap-coat-v8-inc-hubmap", "kernel_id": "30552962"}, {"ref": "e0xextazy/768-train-b8-with-pseudo", "kernel_id": "30604453"}, {"ref": "e0xextazy/awesome-ensemble-hubmap", "kernel_id": "30611997"}, {"ref": "chris666/48th-place-inference", "kernel_id": "30721721"}, {"ref": "chris666/ensemble-pvtv2-addlung", "kernel_id": "30477326"}, {"ref": "hideyukizushi/fork-of-hubmap-infv4-79lb-c320", "kernel_id": "30526528"}, {"ref": "hubingqian2006/resnet50", "kernel_id": "30101759"}, {"ref": "matakaggle/notebook61b356a23f", "kernel_id": "30379984"}, {"ref": "saharshbarve/train-segformer-final-coat", "kernel_id": "30729322"}, {"ref": "saharshbarve/train-coat", "kernel_id": "30422141"}, {"ref": "saharshbarve/continue-train-coat", "kernel_id": "30521285"}, {"ref": "alincijov/training-hubmap-coat", "kernel_id": "30060856"}, {"ref": "alincijov/inference-hubmap-coat", "kernel_id": "30076387"}, {"ref": "bibhabasumohapatra/coat-inference-final-for-lb-part-4", "kernel_id": "30457678"}, {"ref": "bibhabasumohapatra/train-coat-hubmap-final-for-lb-part-4", "kernel_id": "30441872"}, {"ref": "bibhabasumohapatra/rank-80-coat-inference-final-for-lb-part-3", "kernel_id": "30357781"}, {"ref": "datakite/hubmap-unet-swintransformerv2", "kernel_id": "30404318"}, {"ref": "willafan/notebook35773019f5", "kernel_id": "30194705"}, {"ref": "cpeng78/hubmap-labels-0-75", "kernel_id": "30037788"}, {"ref": "cpeng78/hubmap2022-zarr", "kernel_id": "30036614"}, {"ref": "yangqinzhu/training-fastai-baseline", "kernel_id": "30198916"}, {"ref": "nghihuynh/hubmap-hpa-methodology-submission", "kernel_id": "30569660"}, {"ref": "nghihuynh/inference-lb-0-73-binary-segmentation-unext50", "kernel_id": "30625260"}, {"ref": "nghihuynh/wsi-hubmap-dataset-creation-256x256", "kernel_id": "30542260"}, {"ref": "slavkoprytula/hubmap-hpa-recursive-gated-conv-lung-tiles", "kernel_id": "30611202"}, {"ref": "shaikjasheen/human-body-submission-file", "kernel_id": "30178825"}, {"ref": "edisonmarcelo/hubmap-inference-tf-tpu-efficientnet-b8", "kernel_id": "30529004"}, {"ref": "edisonmarcelo/hubmap-training-tf-tpu-efficientnet-b8-640-640", "kernel_id": "30506609"}, {"ref": "matteociotola/iadf-school-ex1", "kernel_id": "30418767"}, {"ref": "chaitanyagiri/hubmap-coat-and-pvt-train", "kernel_id": "30187036"}, {"ref": "vincenttu/hubmap-hpa-comp-dataset-visualization", "kernel_id": "30091876"}, {"ref": "cheulkay/hubmap-inference", "kernel_id": "30412426"}, {"ref": "cheulkay/hubmap-hpa-presentation", "kernel_id": "30789111"}, {"ref": "hahunavth/segmentation", "kernel_id": "30202124"}, {"ref": "olegbaryshnikov/hubmap-hpa-resized-tfrecords-512x512", "kernel_id": "30290902"}, {"ref": "mohamedaminesaighi/hubmap-pytorch-starter", "kernel_id": "30082130"}, {"ref": "sanrai/segnet-model", "kernel_id": "30658562"}, {"ref": "anubhavde/hubmap-visualization", "kernel_id": "30725089"}, {"ref": "anubhavde/multi-organ-ftu-segmentation", "kernel_id": "30696778"}, {"ref": "joydeep69/tf-tpu-efficientnet-0-74", "kernel_id": "30168427"}, {"ref": "chinartist/resize-to-1024-stain", "kernel_id": "30234668"}, {"ref": "opusen/customize-mmseg", "kernel_id": "30852340"}, {"ref": "koshiroterasawa/infer-coat", "kernel_id": "30070063"}, {"ref": "kajolmaster/frist-try", "kernel_id": "30195120"}, {"ref": "adc28827810/mmseg-train-mit", "kernel_id": "30365750"}, {"ref": "osmanf/hubmap-hpa-deep-learning-unet-cnn", "kernel_id": "30000123"}, {"ref": "jeonkyuwon/training-hubmap-coat-56d70e", "kernel_id": "30132860"}, {"ref": "bulivington/mmseg-simple-blend", "kernel_id": "30326397"}, {"ref": "vladyslavsarnatskyi/coat-no-aspp-submission", "kernel_id": "30140377"}, {"ref": "itsanjalichaudhary/hubmap-complete-understanding-and-eda-w-b", "kernel_id": "30064851"}, {"ref": "anmolduaai/convnext-unet-in-pytorch", "kernel_id": "30047929"}, {"ref": "biohan/nodropout-768-r2-b4-train-loss-new-inference", "kernel_id": "30326742"}, {"ref": "biohan/conv-256-4-6-12-stride-b1-5fold-bs-4", "kernel_id": "30410217"}, {"ref": "hukkkwon/b4-lpb768-valloss-p1", "kernel_id": "30334211"}, {"ref": "araraltawil/hubmap-guide-to-masks", "kernel_id": "31600155"}, {"ref": "chuaziheng/cz4041-zh", "kernel_id": "31000841"}, {"ref": "shyamgupta196/hubmap-eda-guide-to-masks-ot-ot", "kernel_id": "31067982"}, {"ref": "saharshbarve/train-conv-exp", "kernel_id": "31002644"}, {"ref": "mohamedaminesaighi/hubmap-train-segformer", "kernel_id": "31104459"}, {"ref": "fortelean/enseminference", "kernel_id": "31555583"}, {"ref": "guosue/download-kaggledata-on-colab-and-connect-vscode", "kernel_id": "32447043"}, {"ref": "sourabhkumar29/staingan-normalization", "kernel_id": "32058572"}, {"ref": "hyunwoo2/training-with-thickness-and-staining-augmentation", "kernel_id": "34039863"}, {"ref": "zakariajoudar/read-images-tiff-organ-segmentation", "kernel_id": "34409727"}, {"ref": "dataworlddsp/ai-use-case-u2-net", "kernel_id": "35821301"}, {"ref": "amrmomtaz/functional-tissue-units-segmentation", "kernel_id": "36055850"}, {"ref": "ulysseboureau/lulab-project", "kernel_id": "36996951"}, {"ref": "theo88/hubmap-hpa-1024x1024-png-generation", "kernel_id": "36704083"}, {"ref": "piyush369/segformer-hubmap", "kernel_id": "37099352"}, {"ref": "alincijov/training-hubmap-vasc-fastai-baseline", "kernel_id": "39158819"}, {"ref": "jocelyndumlao/hubmap-blood-vessel-kidney-histology", "kernel_id": "40106921"}, {"ref": "mosstafa399/hubmap-competition-unet-model-submission", "kernel_id": "40546417"}, {"ref": "jirkaborovec/pyvips-load-thumbnail-crop-large-image", "kernel_id": "45011190"}, {"ref": "jiaowoguanren/hubmap-swinv2unet", "kernel_id": "45049542"}, {"ref": "mouneshpatil/pixel-size-and-tissue-thickness-domain-adaptation", "kernel_id": "49305660"}, {"ref": "arghyadeepsama/wsi-preprocessing-tiling-tissue-segmentation", "kernel_id": "50777498"}, {"ref": "ahmedmaherelsaeidy/hupmap-transfer-learning", "kernel_id": "55044602"}, {"ref": "foryousensei/hubmap-complete-understanding-and-eda-w-b", "kernel_id": "57247827"}, {"ref": "foryousensei/hubmap-training-tf-tpu-efficientnet-b7-640x640", "kernel_id": "58036367"}, {"ref": "tyloftin/hacking-the-human-body", "kernel_id": "64007587"}, {"ref": "shlokoyo/fork-of-biotech-final-ai-model", "kernel_id": "85509738"}, {"ref": "mdabdulalhasib/solution-using-custom-preprocesssing", "kernel_id": "119709880"}]}
{"competition_id": "34561", "kernels": []}
{"competition_id": "34564", "kernels": [{"ref": "ananyachauhan/notebookbdde5f16f3", "kernel_id": "26689881"}, {"ref": "ananyachauhan/ananya-101903251", "kernel_id": "26799288"}]}
{"competition_id": "34570", "kernels": []}
{"competition_id": "34572", "kernels": []}
{"competition_id": "34573", "kernels": []}
{"competition_id": "34574", "kernels": [{"ref": "brauliolv/california-house-prices-22", "kernel_id": "24774424"}]}
{"competition_id": "34580", "kernels": []}
{"competition_id": "34583", "kernels": []}
{"competition_id": "34588", "kernels": [{"ref": "jrmiechheang/notebook48ea27a622", "kernel_id": "25003866"}]}
{"competition_id": "34595", "kernels": [{"ref": "maulberto3/scikit-starter-models", "kernel_id": "24830608"}, {"ref": "kuntalmaity/prediction-of-the-price-of-airbnb", "kernel_id": "24806028"}]}
{"competition_id": "34596", "kernels": []}
{"competition_id": "34598", "kernels": []}
{"competition_id": "34600", "kernels": [{"ref": "vfomenko/wav2vec2-speechbrain-inference", "kernel_id": "24977227"}, {"ref": "vfomenko/wav2vec-training", "kernel_id": "24988282"}, {"ref": "kuprik/convolutional-network-with-gsc-dataset", "kernel_id": "25075192"}, {"ref": "maximkirilyuk/fine-tuning-of-speech-recognition-transformer-hf", "kernel_id": "25004841"}, {"ref": "maximkirilyuk/simple-ensemble-inference", "kernel_id": "25004870"}]}
{"competition_id": "34610", "kernels": [{"ref": "ericbenhamou/create-drl-submission-2022", "kernel_id": "24822684"}, {"ref": "ericbenhamou/compute-drl-reward-2022", "kernel_id": "24822729"}, {"ref": "yoannlemesle/drl-for-finance-yoann-lemesle-roxane-cohen", "kernel_id": "27706811"}]}
{"competition_id": "34614", "kernels": []}
{"competition_id": "34626", "kernels": [{"ref": "tdbui1209/vimaru61-aiclub-solution-notebook", "kernel_id": "28092271"}, {"ref": "katerinatotka/totka-aikaterini-solution", "kernel_id": "28393497"}, {"ref": "linhtranquang222/team-khdl-20xx-solution", "kernel_id": "28360570"}, {"ref": "aioannidou/notebook153df2cadb", "kernel_id": "28517526"}, {"ref": "ductransponster/ductransponster-solution-notebook", "kernel_id": "28354609"}, {"ref": "konstantinakalimeri/kalimeri-konstantina-solution", "kernel_id": "28388755"}, {"ref": "angelospapadopoulos/aggelos-papadopoulos-solution", "kernel_id": "28534600"}, {"ref": "vasilikidrakaki/drakaki-vasiliki-solution", "kernel_id": "28508615"}, {"ref": "georgiaklapsa/klapsa-georgia-codesolution", "kernel_id": "28505984"}, {"ref": "athanasioskarantonis/bba21060-final", "kernel_id": "58667940"}, {"ref": "konstantinoskolovos/bankruptcy-prediction", "kernel_id": "58582269"}, {"ref": "margaritisasikis/asikis-margaritis-company-bankruptcy-prediction", "kernel_id": "58447710"}, {"ref": "panagiotiskalesis/bankruptcyy", "kernel_id": "58851758"}, {"ref": "alkisstavrosbontinas/bontinas-alkis-stavros-solution", "kernel_id": "58447775"}, {"ref": "gertaelezi/gerta-elezi", "kernel_id": "58447723"}, {"ref": "anastasiament/try-no3", "kernel_id": "58655494"}, {"ref": "iliaskosarlis/ilias-kosarlis", "kernel_id": "58447719"}, {"ref": "angelikiilia/angeliki-ilia", "kernel_id": "58447709"}, {"ref": "elenikotini/kotini-eleni", "kernel_id": "58447724"}, {"ref": "giorgosseiranidis/seiranidis-giorgos-solution", "kernel_id": "58815171"}, {"ref": "arvigiolntoka/arvigiol-ntoka", "kernel_id": "58447736"}, {"ref": "nikoletachariss/nikoleta-charissopoulou", "kernel_id": "58447722"}, {"ref": "georgemavridis/mavridis-georgios-solution", "kernel_id": "58447718"}]}
{"competition_id": "34627", "kernels": []}
{"competition_id": "34635", "kernels": [{"ref": "tqtrinh/classification-of-plants-baseline", "kernel_id": "27540895"}, {"ref": "thhoang/mobilenet", "kernel_id": "27451209"}, {"ref": "th1nhng0/1-acc-26-6-2022", "kernel_id": "28374595"}]}
{"competition_id": "34636", "kernels": []}
{"competition_id": "34639", "kernels": [{"ref": "pushkar007/write-u-net-from-scratch-tutorial", "kernel_id": "32203543"}]}
{"competition_id": "34642", "kernels": [{"ref": "tinypersimmon/notebook36ea7d9489", "kernel_id": "25814218"}, {"ref": "amosyou/scet-disaster-lab-kaggle-competition", "kernel_id": "25870752"}, {"ref": "akhilvenkatesh/akhil-and-karen-scet-disaster-lab-final-submission", "kernel_id": "26320965"}]}
{"competition_id": "34643", "kernels": []}
{"competition_id": "34649", "kernels": []}
{"competition_id": "34651", "kernels": []}
{"competition_id": "34653", "kernels": []}
{"competition_id": "34654", "kernels": [{"ref": "grennwolf/catboost-baseline", "kernel_id": "24906477"}, {"ref": "purplecarrot/neural-baseline", "kernel_id": "24989729"}]}
{"competition_id": "34665", "kernels": []}
{"competition_id": "34668", "kernels": []}
{"competition_id": "34676", "kernels": [{"ref": "harshul23/churn-prediction", "kernel_id": "25382371"}, {"ref": "deliveryreport/starter-nb", "kernel_id": "26933264"}]}
{"competition_id": "34678", "kernels": [{"ref": "abhishek123maurya/null-value-operations", "kernel_id": "24927371"}]}
{"competition_id": "34681", "kernels": []}
{"competition_id": "34683", "kernels": [{"ref": "rsesha/aicamp-special-suloclassifier-87-score", "kernel_id": "29382683"}, {"ref": "johnakwei/predict-fiverr-spammers", "kernel_id": "29181786"}, {"ref": "hskhawaja/fiverr-spammer-pycaret-automl", "kernel_id": "29201204"}, {"ref": "qayyum453/fiverr-spammer-xgbclassifier-model", "kernel_id": "29241026"}, {"ref": "chtalhaanwar/fiverr-spammer-automl-solution-complete", "kernel_id": "29182641"}, {"ref": "kaniya/fiverr-spammers-automl-guided-solution", "kernel_id": "29323996"}, {"ref": "lucasmorin/fiverr-lgbm-ensemble", "kernel_id": "29303582"}, {"ref": "sahaaaanattygalle/fiverrspammers-optuna-xgboost-f1macro", "kernel_id": "29417680"}, {"ref": "sahaaaanattygalle/fiverr-spam-pred-basic-eda-h20", "kernel_id": "29307028"}, {"ref": "nitinchoudhary012/fiverr-spammers-detection", "kernel_id": "29399650"}, {"ref": "zakariabentaleb/predict-spammers-on-fiverr-features-selection", "kernel_id": "29509553"}, {"ref": "rishabh2007/86-fiver-potential-spammers", "kernel_id": "29380797"}, {"ref": "ahmadarsim/fiverr-spam-machine-learning-with-high-score-97-7", "kernel_id": "29368092"}, {"ref": "shaharyarsajid/predict-random-forest", "kernel_id": "29465426"}, {"ref": "haseeb85/fiverr-spammer-detection-xgboost", "kernel_id": "29250578"}, {"ref": "ravi20076/fiverr-extensive-eda", "kernel_id": "29378094"}, {"ref": "ravi20076/fiverr-featureselection", "kernel_id": "29517645"}, {"ref": "ziadhamadafathy/predict-spammers-on-fiverr-with-using-ml-models", "kernel_id": "29235853"}, {"ref": "gehallak/fiverr-eda-lgbm", "kernel_id": "29605604"}, {"ref": "gehallak/fiverr-data-imbalances", "kernel_id": "29935946"}, {"ref": "navinpatwari/spammer-on-fiverr", "kernel_id": "29196645"}, {"ref": "pearsejim01/fiverr-spam-2nd-in-publiclb-and-privatelb", "kernel_id": "30104760"}, {"ref": "bachaboos/cnn-predict-potential", "kernel_id": "30037446"}, {"ref": "shibumohapatra/fiverr", "kernel_id": "30431210"}, {"ref": "vizdom/fiverr-xgb-tuned", "kernel_id": "30180524"}, {"ref": "fritzcremer/a-24-line-solution", "kernel_id": "30447448"}, {"ref": "mhadani/fiverr-spamer", "kernel_id": "30282528"}, {"ref": "razarizwanahmed/predict-potential-spammers", "kernel_id": "30704896"}, {"ref": "ydvaakash/fiverr-5fold-dataset", "kernel_id": "30314827"}, {"ref": "ydvaakash/xgboost-blend-hypertuned-28th-place-solution", "kernel_id": "30431785"}, {"ref": "cbhavik/fiverr-xgb-tuned-eda", "kernel_id": "30127731"}, {"ref": "deepakkaura/fiverr-end-to-end-project-includes-deployment", "kernel_id": "33508036"}]}
{"competition_id": "34685", "kernels": []}
{"competition_id": "34686", "kernels": []}
{"competition_id": "34688", "kernels": [{"ref": "katerpillar/d-mo-ouverture-fichiers-code-de-base", "kernel_id": "24871608"}, {"ref": "bricelp/exploitation-des-donn-es-mod-les-2d-de-m-t-onet", "kernel_id": "24873797"}, {"ref": "bricelp/baseline-mod-les-2d", "kernel_id": "24961236"}]}
{"competition_id": "34689", "kernels": []}
{"competition_id": "34713", "kernels": [{"ref": "jellyfiy/chinese-word-division", "kernel_id": "25823591"}]}
{"competition_id": "34720", "kernels": []}
{"competition_id": "34725", "kernels": []}
{"competition_id": "34727", "kernels": [{"ref": "cheny12/ml-based", "kernel_id": "25821569"}]}
{"competition_id": "34730", "kernels": [{"ref": "guoxiaoqing/notebook72657674b4", "kernel_id": "24896710"}, {"ref": "liuchungyin/ml-segementation", "kernel_id": "25992814"}]}
{"competition_id": "34735", "kernels": []}
{"competition_id": "34738", "kernels": []}
{"competition_id": "34746", "kernels": []}
{"competition_id": "34762", "kernels": []}
{"competition_id": "34763", "kernels": [{"ref": "konradb/fast-image-resizing", "kernel_id": "25249928"}, {"ref": "konradb/generate-patches", "kernel_id": "25253526"}, {"ref": "konradb/tez-model-train", "kernel_id": "25307835"}, {"ref": "konradb/umnist-model-infer", "kernel_id": "25315310"}, {"ref": "konradb/tez-model-inference", "kernel_id": "25408461"}, {"ref": "konradb/tez-adversarial-validation", "kernel_id": "25759638"}, {"ref": "aninda/ultramnist-simple-baseline-fastai", "kernel_id": "25251752"}, {"ref": "pcmiller/mnist-with-flipped-pixels", "kernel_id": "25233974"}, {"ref": "surajsharan/ultramnist-starter-notebook", "kernel_id": "25790620"}, {"ref": "tunguz/ultramnist-random", "kernel_id": "25234429"}, {"ref": "karthickp6/eda-ultramnist", "kernel_id": "25235595"}, {"ref": "karthickp6/confusing-images-and-its-sums", "kernel_id": "25238008"}, {"ref": "bkanupam/generating-ultramnist-black", "kernel_id": "25345504"}, {"ref": "praveeniitd/beginner-ultra-mnist-xception-finetuning-no-cv", "kernel_id": "25248251"}, {"ref": "maulberto3/ultramnist-is-there-a-distribution-of-sum", "kernel_id": "25235754"}, {"ref": "ashishrose/score-0-05128-first-ultramnist-model", "kernel_id": "25252306"}, {"ref": "dschettler8845/rle-encode-idea", "kernel_id": "25304506"}, {"ref": "dschettler8845/ultramnist-eda-baseline", "kernel_id": "25235042"}, {"ref": "dschettler8845/ultramnist-dataset-creation", "kernel_id": "25238194"}, {"ref": "dschettler8845/ultramnist-test-dataset-creation", "kernel_id": "25242890"}, {"ref": "dschettler8845/ultramnist-dataset-creation-v2", "kernel_id": "25240694"}, {"ref": "dschettler8845/ultramnist-baseline-inference", "kernel_id": "25240225"}, {"ref": "dschettler8845/ultramnist-dataset-v-inference", "kernel_id": "25280814"}, {"ref": "dschettler8845/ultramnist-dataset-creation-v", "kernel_id": "25261240"}, {"ref": "dschettler8845/ultramnist-baseline-inference-v", "kernel_id": "25255039"}, {"ref": "miwojc/ultramnist-image-downscale-250px", "kernel_id": "25388913"}, {"ref": "miwojc/ultra-mnist-fastai-starter", "kernel_id": "25246197"}, {"ref": "harishvutukuri/starter-ultra-mnist", "kernel_id": "25235106"}, {"ref": "coolvarun99/ultramnist-starter-notebook", "kernel_id": "25900645"}, {"ref": "nlztrk/ultramnist-ish-custom-data-generation", "kernel_id": "25958537"}, {"ref": "stpeteishii/ultramnist-bitwise-not", "kernel_id": "25320917"}, {"ref": "jahid006/numpy-is-all-you-need-to-find-the-digit-mnistclf", "kernel_id": "25269396"}, {"ref": "phanttan/keras-resnet-umnist-inference", "kernel_id": "25720579"}, {"ref": "phanttan/resnet-model-infer", "kernel_id": "25641380"}, {"ref": "phanttan/efficientnet-model-train", "kernel_id": "25607354"}, {"ref": "phanttan/efficientnet-model-inference", "kernel_id": "25583089"}, {"ref": "phanttan/keras-resnet-umnist-training", "kernel_id": "25454447"}, {"ref": "mpwolke/ultramnist-cnn-laaaaarge", "kernel_id": "25280867"}, {"ref": "moizkhan11/ultramnist", "kernel_id": "25427707"}, {"ref": "ayad0net/ultramnist-classification-summation", "kernel_id": "25257868"}, {"ref": "ignitorkhan8008/data-visualiser-interface", "kernel_id": "25382505"}, {"ref": "l0new0lf/umnist-remove-bg-extract-images", "kernel_id": "25235043"}, {"ref": "l0new0lf/umnist-eda-simple", "kernel_id": "25234269"}, {"ref": "l0new0lf/umnistv2-extract-small-digits-using-simple-curves", "kernel_id": "25400955"}, {"ref": "harshraj22/ultramnist", "kernel_id": "25306446"}, {"ref": "carlmcbrideellis/ultramnist-baseline-all-class-20", "kernel_id": "25384967"}, {"ref": "lukaszborecki/digit-cleaner-concept", "kernel_id": "25236499"}, {"ref": "cnhung/kaggle-ultramnist-vae-cat", "kernel_id": "25335267"}, {"ref": "nischaydnk/ultramnist-random-pro", "kernel_id": "25234796"}, {"ref": "remekkinas/funny-cv-eda-what-we-see-here", "kernel_id": "25235438"}, {"ref": "remekkinas/do-not-use-for-submission-old-rules", "kernel_id": "25240633"}, {"ref": "towhidultonmoy/ultramnist-first-glance-of-the-data", "kernel_id": "25236131"}, {"ref": "mohammadkashifunique/umnist-tez-5-folds", "kernel_id": "25671193"}, {"ref": "imflash217/flash-eda-ultramnist", "kernel_id": "25241205"}, {"ref": "zakariaelghamch/creating-custom-dataset-for-train-model-pytorch", "kernel_id": "25758112"}, {"ref": "mohamedbakrey/using-some-of-deep-learning-model-for-mnist", "kernel_id": "25304861"}, {"ref": "odins0n/updated-ultramnist-image-resizer-512x512", "kernel_id": "25234503"}, {"ref": "zuraiz/worst-accuracy-using-random-ultra-mnist", "kernel_id": "25238769"}, {"ref": "aaftaabv/ultramnist-baseline-cnn", "kernel_id": "25431614"}, {"ref": "junhyeok99/ultramnist-tfrecord", "kernel_id": "25320465"}, {"ref": "kaustavghosal/ultramnist-k-01", "kernel_id": "25659472"}, {"ref": "dmitrylessy/ultramnist-with-yolo-ensemble", "kernel_id": "25407636"}, {"ref": "dmitrylessy/effective-background-preprocessing-new-concept", "kernel_id": "25308493"}, {"ref": "dmitrylessy/ultramnist-97-solution", "kernel_id": "25279466"}, {"ref": "ismailaseck/few-lines-to-double-the-training-set-size", "kernel_id": "25501672"}, {"ref": "sbhatti/training-efficientnet-b7-for-mnist-99-64", "kernel_id": "25387940"}, {"ref": "haqishen/simulate-background", "kernel_id": "26284844"}, {"ref": "vecxoz/tricks-for-large-images", "kernel_id": "26285381"}, {"ref": "towzeur/extracting-the-grid", "kernel_id": "26313216"}, {"ref": "namtran1118/ultramnist-3rd-solution", "kernel_id": "26275969"}, {"ref": "ubamba98/extracting-the-grid", "kernel_id": "29625234"}, {"ref": "pradykandi/ultramnist-cnn-style", "kernel_id": "41896425"}, {"ref": "pradykandi/numpy-is-all-you-need-05740c", "kernel_id": "41970242"}, {"ref": "pradykandi/ultramnist-baseline-cnn-d61302", "kernel_id": "42010687"}, {"ref": "adiv413/numpy-is-all-you-need-05740c", "kernel_id": "43071870"}]}
{"competition_id": "34768", "kernels": []}
{"competition_id": "34772", "kernels": []}
{"competition_id": "34776", "kernels": []}
{"competition_id": "34778", "kernels": []}
{"competition_id": "34785", "kernels": []}
{"competition_id": "34786", "kernels": [{"ref": "tlsldj404/notebook-test", "kernel_id": "24940488"}]}
{"competition_id": "34787", "kernels": []}
{"competition_id": "34788", "kernels": []}
{"competition_id": "34790", "kernels": []}
{"competition_id": "34794", "kernels": [{"ref": "sakshamdwivedi10/notebookcc459de860", "kernel_id": "24965873"}]}
{"competition_id": "34822", "kernels": []}
{"competition_id": "34832", "kernels": []}
{"competition_id": "34833", "kernels": []}
{"competition_id": "34834", "kernels": []}
{"competition_id": "34835", "kernels": []}
{"competition_id": "34845", "kernels": [{"ref": "maulberto3/telecomm-churn-nice-scikit-pipeline", "kernel_id": "25350258"}, {"ref": "mpwolke/telecom-churn-case-optuna", "kernel_id": "25265367"}, {"ref": "humvale/telecom-churn-competition-keras-model", "kernel_id": "25419298"}, {"ref": "pankajsonawane1998/telecom-churn-case-study-hackathon-kaggle-best-s", "kernel_id": "25665862"}, {"ref": "aniketkardile98/telecom-churn-case-study", "kernel_id": "25667341"}, {"ref": "veerpalsingh/notebook61110aa7e0", "kernel_id": "25655667"}, {"ref": "yaswanth2784/telecom-churn-case-optuna", "kernel_id": "26633609"}, {"ref": "deliveryreport/start-nb", "kernel_id": "26933425"}]}
{"competition_id": "34851", "kernels": []}
{"competition_id": "34862", "kernels": []}
{"competition_id": "34869", "kernels": []}
{"competition_id": "34870", "kernels": [{"ref": "lzzzzzm/notebookc1af574a39", "kernel_id": "26042641"}, {"ref": "balmung08/why-no-chinese-name", "kernel_id": "26072387"}, {"ref": "liangyz2019/knn-iris", "kernel_id": "26066290"}, {"ref": "tianyx0921/notebooke63bf8ce66", "kernel_id": "26238673"}, {"ref": "yangchuang/notebooke496fd5137", "kernel_id": "26051114"}, {"ref": "wengnan20190321/notebook6f4f56dd68", "kernel_id": "26066993"}, {"ref": "linhaoyi/notebooka1f06c5f0b", "kernel_id": "26076548"}, {"ref": "wangyida20190510/notebook6821e2df7d", "kernel_id": "26119341"}, {"ref": "wuchuang/notebook", "kernel_id": "26332652"}, {"ref": "xxc20190426/knn-version", "kernel_id": "26144156"}, {"ref": "xxc20190426/test-1", "kernel_id": "26236250"}, {"ref": "skythinker/decisiontree-lan", "kernel_id": "26069619"}, {"ref": "glisten/notebooka971e765c5", "kernel_id": "26628335"}, {"ref": "zjy20190525/notebooka728aee1e9", "kernel_id": "26120488"}, {"ref": "haoyuanhui20190423/notebook60a46692a7", "kernel_id": "26143494"}, {"ref": "qiaodingkang20190506/notebook3d2e80023a", "kernel_id": "26072369"}, {"ref": "tanghe2019/shiyan", "kernel_id": "26256175"}, {"ref": "tanghe2019/notebookb6616304f1", "kernel_id": "26255913"}, {"ref": "tanghe2019/shiyan555", "kernel_id": "26256958"}, {"ref": "yinxy09190101/notebooka2467f68f4", "kernel_id": "26449653"}, {"ref": "ruiyizhu/notebook743708faaf", "kernel_id": "26257146"}]}
{"competition_id": "34879", "kernels": []}
{"competition_id": "34886", "kernels": [{"ref": "aruvib/co2-emission-aruvi-b", "kernel_id": "50247216"}]}
{"competition_id": "34897", "kernels": []}
{"competition_id": "34898", "kernels": []}
{"competition_id": "34899", "kernels": []}
{"competition_id": "34903", "kernels": []}
{"competition_id": "34907", "kernels": []}
{"competition_id": "34909", "kernels": []}
{"competition_id": "34910", "kernels": []}
{"competition_id": "34914", "kernels": []}
{"competition_id": "34922", "kernels": []}
{"competition_id": "34929", "kernels": []}
{"competition_id": "34930", "kernels": []}
{"competition_id": "34954", "kernels": [{"ref": "a24998667/ml2022hw3-sample-code-prediction-only", "kernel_id": "25095592"}, {"ref": "a24998667/ml2022hw3-report-questions", "kernel_id": "25095750"}, {"ref": "a24998667/ml2022hw3-sample-code-training-prediction", "kernel_id": "25092179"}]}
{"competition_id": "34958", "kernels": []}
{"competition_id": "34959", "kernels": [{"ref": "omarvivas/xgb-laptop-v1", "kernel_id": "25804949"}]}
{"competition_id": "34970", "kernels": [{"ref": "oldufo/shift-only", "kernel_id": "25998046"}, {"ref": "oldufo/imc2022-dependencies", "kernel_id": "25998071"}, {"ref": "eduardtrulls/imc2022-dependencies", "kernel_id": "25835790"}, {"ref": "eduardtrulls/imc2022-training-set-eval-one-function", "kernel_id": "25869122"}, {"ref": "eduardtrulls/imc2022-baseline-submission-disk", "kernel_id": "25898642"}, {"ref": "eduardtrulls/imc2022-baseline-submission-sift", "kernel_id": "25878451"}, {"ref": "eduardtrulls/imc2022-training-data", "kernel_id": "25876257"}, {"ref": "radac98/public-baseline-dkm-0-667", "kernel_id": "26567965"}, {"ref": "radac98/imc2022-dependencies", "kernel_id": "26562438"}, {"ref": "mcwema/imc-2022-kornia-loftr-score-plateau-0-726", "kernel_id": "26609216"}, {"ref": "rsmits/sold-inference", "kernel_id": "26867493"}, {"ref": "jenyadatapower/notebook17d7159799", "kernel_id": "26451468"}, {"ref": "namgalielei/loftr-kornia", "kernel_id": "26165963"}, {"ref": "namgalielei/loftr-validation-score", "kernel_id": "26213192"}, {"ref": "iru538/imc2022-loftr-validation-score", "kernel_id": "26368036"}, {"ref": "ilyaryabov/epipolar-geometry-sift", "kernel_id": "26886664"}, {"ref": "ilyaryabov/imc-2022-kornia-score-0-725", "kernel_id": "26341743"}, {"ref": "ilyaryabov/google-image-parser", "kernel_id": "26127004"}, {"ref": "dschettler8845/quadtree-image-matching-challenge-2022", "kernel_id": "26158292"}, {"ref": "dschettler8845/image-matching-challenge-2022-eda", "kernel_id": "26085308"}, {"ref": "jesperandersson/visualize-superglue-sfm-reconstruction", "kernel_id": "26607264"}, {"ref": "zzy990106/compute-f-using-krt", "kernel_id": "26108406"}, {"ref": "losveria/superglue-baseline", "kernel_id": "26055999"}, {"ref": "mpwolke/taj-mahal-t-dai-ji-piazza-san-marco-with-kornia", "kernel_id": "26117257"}, {"ref": "dinowun/imc2022-baseline-submission-disk", "kernel_id": "26013373"}, {"ref": "nguyenhung1903/imc-baseline-submission-basic", "kernel_id": "26140301"}, {"ref": "nguyenhung1903/training-loftr-update", "kernel_id": "26468150"}, {"ref": "ammarali32/imc-2022-kornia-loftr-from-0-533-to-0-721", "kernel_id": "26312864"}, {"ref": "ammarali32/training-loftr", "kernel_id": "26331901"}, {"ref": "ammarali32/generate-depth-masks", "kernel_id": "26330796"}, {"ref": "ammarali32/image-matching-challenge-2022-baseline-kornia", "kernel_id": "26102154"}, {"ref": "remekkinas/detector-free-local-feature-matching-w-transformer", "kernel_id": "26006627"}, {"ref": "calvchen/kornia-loftr-seg", "kernel_id": "26981011"}, {"ref": "danielwe14/epipolar-geometry-and-fundamental-matrix", "kernel_id": "26148040"}, {"ref": "devasenak/devasena-harisudhan", "kernel_id": "26453212"}, {"ref": "mkosik/image-matching-attempt-with-delf", "kernel_id": "26184382"}, {"ref": "jay2333/imc2022-submission", "kernel_id": "26054751"}, {"ref": "jay2333/loftr", "kernel_id": "26105229"}, {"ref": "pixyz0130/imc2022-eda", "kernel_id": "26129888"}, {"ref": "natnitarach/imc-2022-0-0-dkm-loftr", "kernel_id": "26785461"}, {"ref": "pranshubahadur/image-matching-challenge-2022-by-google-research", "kernel_id": "26912403"}, {"ref": "kentoyamasaki/imc2022-training-data-first-time-at-kaggle", "kernel_id": "26118093"}, {"ref": "eduardtrulls/imc2022-baseline-submission-disk-865ac4", "kernel_id": "26018646"}, {"ref": "mattmenzi/cv-final-project", "kernel_id": "26747818"}, {"ref": "cbeaud/image-matching-challenge-2022", "kernel_id": "26259298"}, {"ref": "cbeaud/imc-2022-kornia-score-0-725", "kernel_id": "26332755"}, {"ref": "optimo/2d-image-matching-with-quadtreeattention", "kernel_id": "27030440"}, {"ref": "tmyok1984/imc2022-validation-csv", "kernel_id": "27633015"}, {"ref": "tmyok1984/imc2022-validation-code", "kernel_id": "27633493"}, {"ref": "akihirok/loftr-ds-ot-w-o-any-training-imc2022", "kernel_id": "27612042"}, {"ref": "rsmits/tensorflow-aslfeat-inference", "kernel_id": "27252249"}, {"ref": "iru538/imc2022-openglue", "kernel_id": "27454026"}, {"ref": "alexanderdamen/keypoint-selection-by-custom-loss-homography", "kernel_id": "27333291"}, {"ref": "yosshi999/imc-2022-loftr-tta-4rot-1flip", "kernel_id": "27457481"}, {"ref": "chankhavu/loftr-superglue-dkm-with-inspiration", "kernel_id": "27527418"}, {"ref": "chankhavu/two-stage-loftr-superglue-dkm", "kernel_id": "27505141"}, {"ref": "iiyamaiiyama/img2022-glrmodel-check-distance-networkx", "kernel_id": "27078116"}, {"ref": "kirderf/on-offline-installation-of-vsac-magsac", "kernel_id": "27621043"}, {"ref": "sanjaylalwani/imc-22-kornia", "kernel_id": "27355045"}, {"ref": "remekkinas/vsac-on-kaggle", "kernel_id": "27063238"}, {"ref": "vadimtimakin/imc-solution", "kernel_id": "27600322"}, {"ref": "igorlashkov/imc-2022-baseline-quadtreeattention-0-812-0-817", "kernel_id": "27619612"}, {"ref": "yamash73/imc2022-14th-place-solution-private-lb-0-839", "kernel_id": "27694965"}, {"ref": "anonymousyuxiang/50th-place-s-solution-superglue-loftr-lb0-810", "kernel_id": "27659713"}, {"ref": "anonymousyuxiang/imc-2022-example-cross-validation-pipeline", "kernel_id": "27659373"}, {"ref": "motono0223/imc2022-preprocessing-histogrammatching", "kernel_id": "27253012"}, {"ref": "gufanmingmie/imc-2022-final-ensemble", "kernel_id": "27591467"}, {"ref": "bobfromjapan/superglue-and-loftr-and-aslfeat", "kernel_id": "27357878"}, {"ref": "bobfromjapan/segmentation-immovable-object", "kernel_id": "27257893"}, {"ref": "yiweibao/imc-2022-kornia-score-0-726", "kernel_id": "27095968"}, {"ref": "fakebird/0-848-image-warping-and-crop-with-loftr-dkm", "kernel_id": "27639659"}, {"ref": "tlthegreatestone/kornia-loftr-dkm-pdc", "kernel_id": "27546189"}, {"ref": "bendikhartvedthaugen/testsub1", "kernel_id": "27627645"}, {"ref": "tmyok1984/imc2022-ensemble-with-dkm-roi", "kernel_id": "28288344"}, {"ref": "datakite/image-matching-challenge-2022", "kernel_id": "28119256"}, {"ref": "kanantaghiyev/object-detection", "kernel_id": "28411919"}, {"ref": "muhriddinmalik/notebook4850548fdc", "kernel_id": "29278349"}, {"ref": "mapilio/imc-2022-ensemble-visualize-custom-dataset", "kernel_id": "29088393"}, {"ref": "yufei12/superglue-baseline", "kernel_id": "30132167"}, {"ref": "hydaii/fork-of-imc-2022-kornia-loftr-from-0-533-to-0-721", "kernel_id": "31876488"}, {"ref": "khangtg09121995/topicfm-eval", "kernel_id": "32789766"}, {"ref": "dpmaharathy/image-matching-fm-scratch", "kernel_id": "34739780"}, {"ref": "piezzo/imc2022-dependencies-silk", "kernel_id": "35047752"}, {"ref": "piezzo/imc2022-submission-silk", "kernel_id": "37333302"}, {"ref": "nerovanetti/final-inference-notebook", "kernel_id": "37905337"}, {"ref": "nerovanetti/loftr-superglue", "kernel_id": "37905409"}, {"ref": "hinetabi/mc-2022-kornia-score-0-725", "kernel_id": "37259263"}, {"ref": "nickcasa22/estimating-f-sift-usac-magsac-feature-matching", "kernel_id": "37931580"}, {"ref": "johanedstedt/tiny-roma-imc2022", "kernel_id": "38847720"}, {"ref": "nickcasa22/estimating-f-pdcnet", "kernel_id": "38132939"}, {"ref": "kevinlin870122/imc2022-123123", "kernel_id": "39600895"}, {"ref": "billypeng/imc2022-baseline-submission-sift-test", "kernel_id": "39631706"}, {"ref": "billypeng/imc2022-baseline-submission-sift", "kernel_id": "39629207"}, {"ref": "thlee210410600/imc2022-210410600", "kernel_id": "39863288"}, {"ref": "tsw0603/imc-2022-209410785-kornia", "kernel_id": "39901916"}, {"ref": "tsw0603/imc-2022-209410785-baseline", "kernel_id": "39901699"}, {"ref": "shaonejack/sift-flan-209410751", "kernel_id": "39802798"}, {"ref": "lilyyeh/imc2022-209410629", "kernel_id": "39815054"}, {"ref": "billylee720/imc2022-209410256", "kernel_id": "39817037"}, {"ref": "tkuhsun/imc2022-209410314", "kernel_id": "39862776"}, {"ref": "tku209410132/imc2022-209410132", "kernel_id": "39968582"}, {"ref": "imc209410694/imc2022-209410694", "kernel_id": "40062697"}, {"ref": "serkzh/imc2022-211418032-final", "kernel_id": "40124873"}, {"ref": "tku209410801/imc2022-209410801", "kernel_id": "40059767"}, {"ref": "junkai910206/imc2022-209410793", "kernel_id": "40138877"}, {"ref": "h209410108/imc2022-209410108", "kernel_id": "40130352"}, {"ref": "tku209410215/imc2022-209410215", "kernel_id": "40129216"}, {"ref": "li201217n/imc2022-209410678", "kernel_id": "40130530"}, {"ref": "johanedstedt/dedodev2-imc2022", "kernel_id": "41127493"}, {"ref": "johanedstedt/imc2022-baseline-submission-disk-opt", "kernel_id": "41303810"}, {"ref": "johanedstedt/aliked-imc2022", "kernel_id": "41334918"}, {"ref": "aitorlaiseca/comparativas-modelos", "kernel_id": "41093247"}, {"ref": "stpeteishii/extract-key-points-using-orb-algorithm", "kernel_id": "45404138"}, {"ref": "yitaoyu/vit-pose", "kernel_id": "51497086"}, {"ref": "parthbagda/image-matching-using-pre-trained-loftr", "kernel_id": "54832947"}, {"ref": "xiaobeixiaobei/imc-2022-kornia-score-0-725", "kernel_id": "54409043"}, {"ref": "shdkyp/image-feature-matching0", "kernel_id": "54472598"}, {"ref": "shdkyp/image-feature-matching-else", "kernel_id": "54932549"}, {"ref": "yitaoyu/vit-pose-analysis", "kernel_id": "55879301"}, {"ref": "shdkyp/image-feature-matching-own", "kernel_id": "55000185"}, {"ref": "shyamgupta196/baseline-imc2022", "kernel_id": "56065355"}, {"ref": "shyamgupta196/learning-imc22", "kernel_id": "56060011"}, {"ref": "xiaobeixiaobei/image-feature-matching-own", "kernel_id": "56069534"}, {"ref": "peilwang/loftr-kornia", "kernel_id": "56621122"}, {"ref": "kjqzv762/baseline-imc2022", "kernel_id": "58719477"}, {"ref": "jennifergtinerj/0-848-image-warping-and-crop-with-loftr-dkm", "kernel_id": "58685656"}, {"ref": "deniszemskikh/imc-2022-kornia-loftr-score-plateau-0-726", "kernel_id": "63849755"}, {"ref": "kainingzhang1212/roma-imc2022-7cdc79", "kernel_id": "68698162"}, {"ref": "shreyarustagi1/computervision-assignment", "kernel_id": "70883416"}, {"ref": "nipunrajput/computervision-assignment", "kernel_id": "70013867"}, {"ref": "ferreiracardos10/imc-2022-final-submission", "kernel_id": "74933387"}, {"ref": "acuodyx/aliked-lightglue", "kernel_id": "75331982"}, {"ref": "acuodyx/aspan-imc2022", "kernel_id": "75330117"}, {"ref": "acuodyx/eloftr-imc2022", "kernel_id": "75304026"}, {"ref": "akshaykiranjose/verifying-kornia", "kernel_id": "88981134"}, {"ref": "stpeteishii/colosseum-multi-size-photos-gaussian-splat", "kernel_id": "97510983"}, {"ref": "stpeteishii/grand-place-multi-size-photos-gaussian-splat", "kernel_id": "99959195"}, {"ref": "zhijiexue/roma-imc2022", "kernel_id": "100515508"}, {"ref": "zhijiexue/fastmatch-imc2022", "kernel_id": "101231288"}, {"ref": "stpeteishii/sagrada-familia-multi-size-photos-gaussian-splat", "kernel_id": "104926552"}, {"ref": "stpeteishii/from-ground-truth-cameras-to-point-cloud-ply", "kernel_id": "108840024"}, {"ref": "shaikabdussattar/imc2022-eda-and-baseline-cv-pipeline", "kernel_id": "109719200"}, {"ref": "shaikabdussattar/imc-2022-feature-matching", "kernel_id": "110139633"}]}
{"competition_id": "34979", "kernels": []}
{"competition_id": "34985", "kernels": []}
{"competition_id": "34991", "kernels": []}
{"competition_id": "34994", "kernels": []}
{"competition_id": "35004", "kernels": []}
{"competition_id": "35007", "kernels": []}
{"competition_id": "35010", "kernels": []}
{"competition_id": "35014", "kernels": [{"ref": "nilakay/sdp-eda", "kernel_id": "27360618"}]}
{"competition_id": "35015", "kernels": []}
{"competition_id": "35037", "kernels": [{"ref": "jeffheaton/tutorial-solution", "kernel_id": "25148189"}, {"ref": "ruichongwang/558-tpu-data-prepare", "kernel_id": "25782923"}, {"ref": "ruichongwang/558-tpu-modeling-starter-code-public", "kernel_id": "25807174"}, {"ref": "yangshen27/data-from-kaggle-to-colab-0328v1", "kernel_id": "25815188"}, {"ref": "ahmedmohamed11/traveling-salesman", "kernel_id": "25725517"}, {"ref": "ruichongwang/group-coordinate-postprocessing-ensemble", "kernel_id": "26395767"}, {"ref": "ruichongwang/group-coordinate-preprocessing-padding", "kernel_id": "26395494"}, {"ref": "pigdog/group-yyyyds", "kernel_id": "26406815"}, {"ref": "yangshen27/group-coordinate-modeling-newstart-dsn-0415v2", "kernel_id": "26375500"}, {"ref": "yangshen27/traditional-programming-of-path-identification", "kernel_id": "26408079"}, {"ref": "jinzou1999/densenet121", "kernel_id": "26371314"}, {"ref": "lgtkuxuan/leaderboard-1st-group-llq", "kernel_id": "26434185"}, {"ref": "pzkpfw/broken-keras-tfrecord-generator", "kernel_id": "26405431"}, {"ref": "pzkpfw/broken-keras-tsp-solution", "kernel_id": "26405481"}, {"ref": "xiangyuchen0111/group10-notebook", "kernel_id": "26249865"}]}
{"competition_id": "35043", "kernels": []}
{"competition_id": "35046", "kernels": [{"ref": "gowthamdd/dna01", "kernel_id": "87521380"}]}
{"competition_id": "35047", "kernels": []}
{"competition_id": "35048", "kernels": []}
{"competition_id": "35058", "kernels": [{"ref": "davidajanzen/predictions", "kernel_id": "25210698"}, {"ref": "harshithasoma/notebook1ba4c4c282", "kernel_id": "41485145"}]}
{"competition_id": "35064", "kernels": []}
{"competition_id": "35069", "kernels": []}
{"competition_id": "35073", "kernels": []}
{"competition_id": "35074", "kernels": []}
{"competition_id": "35075", "kernels": []}
{"competition_id": "35083", "kernels": [{"ref": "kuantinglai/110-2-dl-app-hw1", "kernel_id": "25184423"}]}
{"competition_id": "35092", "kernels": []}
{"competition_id": "35093", "kernels": []}
{"competition_id": "35099", "kernels": []}
{"competition_id": "35104", "kernels": [{"ref": "mzd2222/notebook611bdb3555", "kernel_id": "25217979"}]}
{"competition_id": "35110", "kernels": []}
{"competition_id": "35111", "kernels": []}
{"competition_id": "35122", "kernels": []}
{"competition_id": "35126", "kernels": []}
{"competition_id": "35130", "kernels": []}
{"competition_id": "35131", "kernels": []}
{"competition_id": "35133", "kernels": []}
{"competition_id": "35136", "kernels": [{"ref": "letmeknow/top1-sol", "kernel_id": "25674678"}, {"ref": "nghanguynthnh/baseline", "kernel_id": "25417599"}, {"ref": "tnglxun/baseliene", "kernel_id": "25347872"}, {"ref": "triphan2k3/pending-4s", "kernel_id": "25314072"}, {"ref": "nhnlonthin/tinamica", "kernel_id": "25565252"}, {"ref": "linhtrngxun/lv-uit", "kernel_id": "25561144"}]}
{"competition_id": "35145", "kernels": []}
{"competition_id": "35146", "kernels": []}
{"competition_id": "35150", "kernels": [{"ref": "michaln/hotel-id-image-preprocessing-512x512", "kernel_id": "25677908"}, {"ref": "michaln/hotel-id-starter-classification-inference", "kernel_id": "25708010"}, {"ref": "michaln/hotel-id-starter-classification-traning", "kernel_id": "25704717"}, {"ref": "michaln/masks-and-occlusions", "kernel_id": "25720471"}, {"ref": "michaln/hotel-id-image-preprocessing-384x384", "kernel_id": "25781194"}, {"ref": "michaln/hotel-id-image-preprocessing-256x256", "kernel_id": "25647275"}, {"ref": "mpwolke/hotel-recognition-gan", "kernel_id": "25442326"}, {"ref": "mpwolke/hotel-identification-transfer-learning-attempt", "kernel_id": "25475009"}, {"ref": "mpwolke/hotel-thresholding-segmentation", "kernel_id": "25515462"}, {"ref": "mpwolke/square-retangular-masks-round-hotel", "kernel_id": "25520484"}, {"ref": "mpwolke/vitruvian-kaggle-art-maths-squaring-proportions", "kernel_id": "25572940"}, {"ref": "mpwolke/it-s-u-u-net", "kernel_id": "25678830"}, {"ref": "mpwolke/images-operations-roi-bitwise-masking", "kernel_id": "25618672"}, {"ref": "laurentpoyet/hotel-id-creation-dataset-512x512", "kernel_id": "25795935"}, {"ref": "rhythmcam/function-showrgbimagelist", "kernel_id": "25748692"}, {"ref": "michaln/hotels-50k-eda-and-image-download", "kernel_id": "26318250"}, {"ref": "michaln/hotel-id-starter-similarity-training", "kernel_id": "26106108"}, {"ref": "michaln/hotel-id-starter-similarity-inference", "kernel_id": "26116835"}, {"ref": "michaln/hotel-id-embeddings-similarity-search", "kernel_id": "26207394"}, {"ref": "dfrankow/hotel-id-2022-image-and-mask-samples", "kernel_id": "26245604"}, {"ref": "stanvl/hotel-id-starter-similarity-inference", "kernel_id": "26766556"}, {"ref": "stanvl/hotel-id-starter-similarity-training", "kernel_id": "26740635"}, {"ref": "prubyg/hotel-id-room-type-classifier-public", "kernel_id": "26537371"}, {"ref": "prubyg/hotel-id-vector-validation", "kernel_id": "26148293"}, {"ref": "prubyg/hotel-id-vector-indexing", "kernel_id": "26141020"}, {"ref": "prubyg/hotel-id-vector-extraction", "kernel_id": "26118407"}, {"ref": "siripurighalla/mlip12", "kernel_id": "26527501"}, {"ref": "kjwdatascience/hotel-id-mlip37-similarity-baseline", "kernel_id": "26444864"}, {"ref": "kjwdatascience/hotel-id-mlip37-classification-baseline", "kernel_id": "26444976"}, {"ref": "kjwdatascience/hotel-id-starter-classification-traning", "kernel_id": "26445255"}, {"ref": "kjwdatascience/hotel-id-starter-similarity-training", "kernel_id": "26551832"}, {"ref": "kjwdatascience/hotel-id-image-preprocessing-256x256-no-padding", "kernel_id": "26532523"}, {"ref": "elgnuy/hotel-id-eda", "kernel_id": "26359541"}, {"ref": "nielsc/hotel-id-starter-classification-inference", "kernel_id": "26390857"}, {"ref": "nilsgolembiewski/fgvc9-submission", "kernel_id": "26454846"}, {"ref": "jessebrons/training-arcmargin", "kernel_id": "26553625"}, {"ref": "jessebrons/inference-arcmargin", "kernel_id": "26554941"}, {"ref": "potatopie/pre-processing-512x512", "kernel_id": "26636023"}, {"ref": "yashikasorathia/mlip12", "kernel_id": "26420555"}, {"ref": "yashikasorathia/submission-notebook", "kernel_id": "26742680"}, {"ref": "raj2105/hotel-id-image-preprocessing-512x512", "kernel_id": "26977538"}, {"ref": "jordyaaldering/inpaint", "kernel_id": "26573322"}, {"ref": "jordyaaldering/classification-training", "kernel_id": "26232498"}, {"ref": "jordyaaldering/gan-test", "kernel_id": "26233479"}, {"ref": "jordyaaldering/inference", "kernel_id": "26232911"}, {"ref": "jordyaaldering/data-exploration", "kernel_id": "26229130"}, {"ref": "jordyaaldering/creation-dataset-512x512", "kernel_id": "26229578"}, {"ref": "jordyaaldering/requirements", "kernel_id": "26919605"}, {"ref": "gidoverheijen/training-notebook", "kernel_id": "26765771"}, {"ref": "theodosiospountridis/hotel-trafficking-knn", "kernel_id": "26948537"}, {"ref": "tomscatalnlpez/data-augmentation", "kernel_id": "26260339"}, {"ref": "brampellen/image-rotation-prediction-training", "kernel_id": "26395599"}, {"ref": "brampellen/create-rotated-hotel-images-dataset", "kernel_id": "26745787"}, {"ref": "oscarestebanbajo/hotel-id-starter-mariposa-inference-ensemble", "kernel_id": "26794743"}, {"ref": "stijnvandenbeemt/hotel-id-starter-similarity-training", "kernel_id": "26263255"}, {"ref": "stijnvandenbeemt/hotel-id-starter-similarity-inference", "kernel_id": "26260730"}, {"ref": "mikavanemmerloot/hotel-id-starter-mlip-04-embeddings", "kernel_id": "26744296"}, {"ref": "mikavanemmerloot/hotel-id-training-mlip-04", "kernel_id": "26740874"}, {"ref": "saravahdatipour/training-mlip-group-5", "kernel_id": "26774489"}, {"ref": "saravahdatipour/testing-and-submission-mlip-group-5", "kernel_id": "26774617"}, {"ref": "merlijnkrale/hotel-id-file", "kernel_id": "26839637"}, {"ref": "nikolaykyosev/create-rotated-hotel-images-dataset", "kernel_id": "26998481"}, {"ref": "siripurighalla/hotel-id-starter-classification-traning", "kernel_id": "27279572"}, {"ref": "siripurighalla/hotel-id-starter-classification-inference", "kernel_id": "27279912"}, {"ref": "kjwdatascience/hotel-id-arcmargin-training-4", "kernel_id": "27459918"}, {"ref": "kjwdatascience/hotel-id-cosface-training", "kernel_id": "27368222"}, {"ref": "kjwdatascience/hotel-id-arcmargin-training-3", "kernel_id": "27365284"}, {"ref": "kjwdatascience/hotel-id-arcmargin-training-2", "kernel_id": "27354167"}, {"ref": "kjwdatascience/hotel-id-classification-training-2", "kernel_id": "27419683"}, {"ref": "kjwdatascience/hotel-id-image-preprocessing-256x256-padding", "kernel_id": "27037975"}, {"ref": "kjwdatascience/hotel-id-classification-training-1", "kernel_id": "27190491"}, {"ref": "kjwdatascience/hotel-id-arcmargin-training-1", "kernel_id": "27185677"}, {"ref": "kjwdatascience/hotel-id-a-c-c-inference", "kernel_id": "27199262"}, {"ref": "nielsc/hotel-id-starter-similarity-inference", "kernel_id": "27475116"}, {"ref": "nielsc/hotel-id-starter-similarity-training", "kernel_id": "27474088"}, {"ref": "nielsc/fork-of-hotel-id-starter-training-256x-rebalance", "kernel_id": "27162953"}, {"ref": "evandervanwolf/hotel-id-cosface-experiment", "kernel_id": "27291633"}, {"ref": "joshuakoopmans/hotel-id-starter-classification-traning-jjk", "kernel_id": "27472259"}, {"ref": "joshuakoopmans/hotel-id-image-preprocessing-256x256-jjk", "kernel_id": "27476420"}, {"ref": "joshuakoopmans/hotel-id-starter-classification-infer-jjk", "kernel_id": "27474413"}, {"ref": "joshuakoopmans/train-convnet", "kernel_id": "27340332"}, {"ref": "joshuakoopmans/inference-convnet", "kernel_id": "27408136"}, {"ref": "joshuakoopmans/hotel-id-inference-arcmargin-cosface", "kernel_id": "27502974"}, {"ref": "potatopie/experimenten", "kernel_id": "27626847"}, {"ref": "potatopie/inference-experimenten", "kernel_id": "27627014"}, {"ref": "potatopie/inference-map", "kernel_id": "27503621"}, {"ref": "yashikasorathia/hotel-id-image-preprocessing-512x512", "kernel_id": "27224908"}, {"ref": "yashikasorathia/hotel-id-starter-similarity-training-17830e", "kernel_id": "27448980"}, {"ref": "yashikasorathia/hotel-id-starter-similarity-inference-f5c331", "kernel_id": "27450225"}, {"ref": "basneeleman/hotel-id-krypton-similarity-training", "kernel_id": "27600314"}, {"ref": "basneeleman/hotel-id-krypton-similarity-inference", "kernel_id": "27600359"}, {"ref": "dmh1512/resnet-inference", "kernel_id": "27354927"}, {"ref": "dmh1512/resnet-training", "kernel_id": "27350926"}, {"ref": "dianabalmaseda/hotel-id-image-preprocessing-256x256", "kernel_id": "27391132"}, {"ref": "tomscatalnlpez/embeddings-training", "kernel_id": "27328929"}, {"ref": "tomscatalnlpez/embeddings-inference", "kernel_id": "27328942"}, {"ref": "damianosnikou/regnety-080", "kernel_id": "27446204"}, {"ref": "brampellen/image-rotation-prediction-run", "kernel_id": "27052650"}, {"ref": "thomaskolb8/finalversion-mlip-baseline-tgj", "kernel_id": "27598048"}, {"ref": "oscarestebanbajo/training-da-effib3", "kernel_id": "27499935"}, {"ref": "elwint/hotel-id-inference-inpainting-offline", "kernel_id": "27487576"}, {"ref": "elwint/hotel-inpainting-tests", "kernel_id": "27676224"}, {"ref": "stijnvandenbeemt/duplicate-testing-hotel-dataset", "kernel_id": "27034710"}, {"ref": "mikavanemmerloot/hotel-id-starter-mlip-04-embeddings-ensemble", "kernel_id": "27171461"}, {"ref": "stevenmaarse/hotel-id-image-preprocessing-256x256-steven", "kernel_id": "27078693"}, {"ref": "merlijnkrale/hotel-id-file-retrieval", "kernel_id": "27505460"}, {"ref": "nikolaykyosev/test-datasets", "kernel_id": "27599756"}, {"ref": "nikolaykyosev/starter-file", "kernel_id": "27274922"}, {"ref": "nikolaykyosev/test-data-transformation-and-loading", "kernel_id": "27193527"}, {"ref": "ahmedhifnawy/hotel-id-starter-similarity-training", "kernel_id": "27174420"}, {"ref": "ahmedhifnawy/hotel-id-starter-similarity-inference", "kernel_id": "27193933"}, {"ref": "qiufeng1218/hotel-id-image-preprocessing-256x256", "kernel_id": "27249558"}, {"ref": "senkukogetsu/hotel-id-starter-similarity-training-0719", "kernel_id": "28634101"}, {"ref": "madhudorai/notebook366fc0ffc4", "kernel_id": "32537780"}, {"ref": "gosiazdych/second-model-cnn", "kernel_id": "35992562"}, {"ref": "gosiazdych/statistical-analysis-cnn", "kernel_id": "36630024"}, {"ref": "gosiazdych/first-model-cnn", "kernel_id": "36119061"}, {"ref": "elanderos/aug-transfer", "kernel_id": "44188702"}, {"ref": "lucyferko/first-model-cnn", "kernel_id": "44946978"}, {"ref": "lucyferko/second-model-cnn", "kernel_id": "44947032"}, {"ref": "zyh1104/007-hotel-id-starter-classification-inference", "kernel_id": "71147756"}, {"ref": "snehagonipati/resnet-inference", "kernel_id": "76812143"}, {"ref": "snehagonipati/sim-training-sv", "kernel_id": "78319797"}, {"ref": "catalystgma/hotel-id-supcon", "kernel_id": "83260426"}]}
{"competition_id": "35157", "kernels": [{"ref": "bkanupam/mel-spectrograms-using-audio-augmentations", "kernel_id": "25729917"}, {"ref": "bkanupam/audio-classification-training-pipeline", "kernel_id": "25509851"}, {"ref": "bkanupam/pog-musicclf-datapreprocessing", "kernel_id": "25510613"}, {"ref": "aliphya/basic-eda-fe-to-get-started", "kernel_id": "25380779"}, {"ref": "harveenchadha/pog-1-spect-2d-cnn-keras-baseline", "kernel_id": "25306292"}, {"ref": "harveenchadha/pog-spectogram-generator", "kernel_id": "25325901"}, {"ref": "harveenchadha/pog-2-stft-1d-cnn-keras-wandb-baseline", "kernel_id": "25407209"}, {"ref": "dienhoa/music-genre-torch-melspec-generator", "kernel_id": "25901675"}, {"ref": "dienhoa/fastai-pogchamp-music-genre-classification", "kernel_id": "25303454"}, {"ref": "mpwolke/i-ll-go-where-ogg-chiptune-takes-me", "kernel_id": "25331509"}, {"ref": "soumya9977/pogchamp2-animation-eda-baseline-on-metadata", "kernel_id": "25296356"}, {"ref": "meenakshiramaswamy/music-genre-classification-pogchamp", "kernel_id": "25588487"}, {"ref": "bnhkid/simple-pipeline-music-tagging-crnn-keras", "kernel_id": "25425852"}, {"ref": "mayur7garg/music-classification-generating-mel-spectrograms", "kernel_id": "25329077"}, {"ref": "venkatkumar001/audio-starter1-almost-all-basic-concepts", "kernel_id": "25368060"}, {"ref": "yousseftaoudi/song-classification-10sec", "kernel_id": "25340868"}, {"ref": "joshuaferr1s/exploratory-analysis", "kernel_id": "25581457"}, {"ref": "satoshiss/audio-feature-extraction", "kernel_id": "25358018"}, {"ref": "satoshiss/practice-working-with-audio-my-music", "kernel_id": "25322397"}, {"ref": "satoshiss/music-genre-classifier-2", "kernel_id": "25680161"}, {"ref": "prateeksohlot/genre-pog-02", "kernel_id": "25279126"}, {"ref": "asisheriberto/convert-ogg-to-wav-and-predict", "kernel_id": "25627394"}, {"ref": "asisheriberto/music-classification-with-keras", "kernel_id": "25938074"}, {"ref": "asisheriberto/generder-detector-manage-data", "kernel_id": "25413383"}, {"ref": "impostorengineer/music-classification-pog-2", "kernel_id": "25282901"}, {"ref": "pheadrus/inference-pipeline-v0", "kernel_id": "26143642"}, {"ref": "bkanupam/mel-spectrograms-using-torchaudio", "kernel_id": "26475439"}, {"ref": "dienhoa/inference-submission-music-genre", "kernel_id": "26008879"}, {"ref": "mayur7garg/music-classification-spectrogram-cnn-lb-0-495", "kernel_id": "26185438"}, {"ref": "asisheriberto/predict-with-mel-frequency-cepstral-coefficients", "kernel_id": "26116977"}]}
{"competition_id": "35166", "kernels": [{"ref": "trishatomy/preprocessing-test-data", "kernel_id": "41535050"}, {"ref": "trishatomy/loading-movenet-sorting-train-data-by-poselabel", "kernel_id": "41530698"}, {"ref": "trishatomy/sorting-the-train-data-according-to-pose-label", "kernel_id": "41531623"}]}
{"competition_id": "35169", "kernels": [{"ref": "kingmenin/sample-submission-ner", "kernel_id": "25253036"}]}
{"competition_id": "35175", "kernels": []}
{"competition_id": "35184", "kernels": []}
{"competition_id": "35185", "kernels": []}
{"competition_id": "35186", "kernels": []}
{"competition_id": "35195", "kernels": [{"ref": "concyclics/baseline-asoul-classification-simplecnn", "kernel_id": "25277568"}]}
{"competition_id": "35197", "kernels": [{"ref": "mpwolke/old-members-spotify", "kernel_id": "25347311"}, {"ref": "mohamedelfeky/spotify", "kernel_id": "25485244"}]}
{"competition_id": "35200", "kernels": [{"ref": "metinhsimimi/kinghocas-eda-and-rmse-4-and-1-09", "kernel_id": "65826260"}]}
{"competition_id": "35214", "kernels": []}
{"competition_id": "35220", "kernels": []}
{"competition_id": "35236", "kernels": [{"ref": "kojimar/baseline-origin-destination", "kernel_id": "28426157"}]}
{"competition_id": "35245", "kernels": []}
{"competition_id": "35251", "kernels": [{"ref": "abakumoviv/baseline", "kernel_id": "25330655"}]}
{"competition_id": "35259", "kernels": []}
{"competition_id": "35268", "kernels": []}
{"competition_id": "35270", "kernels": []}
{"competition_id": "35272", "kernels": [{"ref": "bovard/kore-intro-part-3-expanding-the-empire", "kernel_id": "25469975"}, {"ref": "bovard/kore-intro-part-4-combat", "kernel_id": "25472251"}, {"ref": "bovard/kore-intro-part-2-mining-kore", "kernel_id": "25465267"}, {"ref": "bovard/kore-fleets-intro-part-1-the-basics", "kernel_id": "25441528"}, {"ref": "bovard/basic-python-starter-notebook", "kernel_id": "25442499"}, {"ref": "masaishi/plot-of-mining-rate-and-distance", "kernel_id": "25715894"}, {"ref": "masaishi/kore2022-q-learning", "kernel_id": "25914316"}]}
{"competition_id": "35273", "kernels": [{"ref": "bjoernjostein/echo2022-eda-baseline-model", "kernel_id": "25386879"}, {"ref": "negmgh/cardiac-echocardiogram-model-evaluation-testing", "kernel_id": "75491724"}, {"ref": "afiatkhantahsin/echo202", "kernel_id": "85055783"}, {"ref": "vulpesvulpes/echoclip", "kernel_id": "103792007"}]}
{"competition_id": "35278", "kernels": [{"ref": "abakumoviv/regression", "kernel_id": "25355196"}]}
{"competition_id": "35288", "kernels": []}
{"competition_id": "35291", "kernels": []}
{"competition_id": "35297", "kernels": [{"ref": "fdalforno/baseline-eda-analisys", "kernel_id": "27793605"}, {"ref": "rohannanaware/energy-anomaly-detection", "kernel_id": "27074926"}, {"ref": "patrick0302/2-anomaly-detection-features-csv-revised-lgb", "kernel_id": "27976452"}, {"ref": "patrick0302/lead-abnormal-viz", "kernel_id": "27158667"}, {"ref": "mpwolke/energy-anomaly-detection", "kernel_id": "27091466"}, {"ref": "jiripodivin/energy-anomalies-missing-values-eda", "kernel_id": "27090340"}, {"ref": "dasmehdixtr/energy-anomally-detection-65-test-set-accuracy", "kernel_id": "27059095"}, {"ref": "abdallahmohamedamin/large-scale-energy-anomaly-detection-lead", "kernel_id": "27043912"}, {"ref": "abhishek123maurya/2-anomaly-detection-features-csv", "kernel_id": "27235607"}, {"ref": "abhishek123maurya/1-anomaly-detection-train-csv", "kernel_id": "27199554"}, {"ref": "bigdataanalysis1/anomalize-with-r-and-predict-with-xgboost-one", "kernel_id": "28173570"}, {"ref": "bigdataanalysis1/flaml-error-reproduce", "kernel_id": "28176009"}, {"ref": "patrick0302/2-anomaly-detection-features-csv-revised-xgb", "kernel_id": "28943629"}, {"ref": "patrick0302/2-anomaly-detection-features-csv-revised-ensem", "kernel_id": "28943804"}, {"ref": "yutianxiao/anomaly-detection-data-processing", "kernel_id": "32006686"}, {"ref": "yutianxiao/ensembled-model-with-signature-paths-method", "kernel_id": "32005365"}, {"ref": "ninadsonawane123/energy-anomally-detection-65-test-set-accu-577bec", "kernel_id": "48763088"}, {"ref": "mojopriest/lead-competition-study-log", "kernel_id": "64058082"}, {"ref": "jheyanth/energy-anomaly-detection", "kernel_id": "71068341"}, {"ref": "dhanus05/k-fold-3", "kernel_id": "108173929"}, {"ref": "dhanus05/2-pigd-isolation-forest", "kernel_id": "111199291"}, {"ref": "dhanus05/1-pigd-transformer-ae", "kernel_id": "111197484"}, {"ref": "dhanus05/3-pigd-vanilla-diffusion", "kernel_id": "111200993"}, {"ref": "dhanus05/4-lstm-pigd", "kernel_id": "111211126"}, {"ref": "dhanus05/5-pigd-transformer", "kernel_id": "111150784"}]}
{"competition_id": "35305", "kernels": [{"ref": "shreysatapara/finetuned-st-with-contrastive-loss-cnn-bi-tri", "kernel_id": "25777106"}, {"ref": "saisandeepraguru/notebook9269449d54", "kernel_id": "25750204"}]}
{"competition_id": "35306", "kernels": []}
{"competition_id": "35308", "kernels": [{"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "vanle73/back-translation-offline-for-data-augmentation", "kernel_id": "22110919"}, {"ref": "abhishek/tez-for-feedback-v2-0", "kernel_id": "27555793"}, {"ref": "lextoumbourou/feedback-pseudo-labelling-full-2021-dataset", "kernel_id": "27440590"}, {"ref": "lextoumbourou/feedback-prize-deberta-v3-large-inference", "kernel_id": "27464594"}, {"ref": "lextoumbourou/feedback-prize-the-complete-overview", "kernel_id": "27353157"}, {"ref": "riteshsinha/tutorial-on-nlp-techniques-and-transformers", "kernel_id": "27928851"}, {"ref": "jdoesv/take2-feedback-essays-to-prompts", "kernel_id": "27422323"}, {"ref": "johnakwei/predictive-topic-modeling-r", "kernel_id": "27929344"}, {"ref": "tanlikesmath/here-have-some-folds", "kernel_id": "27343905"}, {"ref": "tanlikesmath/feedback-prize-effectiveness-eda-deberta-baseline", "kernel_id": "27340149"}, {"ref": "tanlikesmath/pytorch-tpu-starter-deberta-v3-large-training", "kernel_id": "27686534"}, {"ref": "tanlikesmath/pytorch-tpu-starter-deberta-v3-large-gpu-infer", "kernel_id": "27742517"}, {"ref": "afajohn/no-text-baseline", "kernel_id": "27340740"}, {"ref": "quincyqiang/feedback-meanpoolingv2-inference", "kernel_id": "27427967"}, {"ref": "quincyqiang/fppea-exploratory-data-analysis", "kernel_id": "27363207"}, {"ref": "snnclsr/eda-feedback-prize-predicting-effect-arguments", "kernel_id": "27408696"}, {"ref": "kvsnoufal/logisticregression-tfidf-5-folds", "kernel_id": "27739423"}, {"ref": "arvissu/roberta-base-training-notebook-1-epoch", "kernel_id": "27890219"}, {"ref": "arvissu/roberta-base-inference-v2-0", "kernel_id": "27890340"}, {"ref": "ilyaryabov/fasttext-supervised-classifier", "kernel_id": "27338790"}, {"ref": "ajeetsingh17/ann-with-tensorflow-tokenizer", "kernel_id": "27787641"}, {"ref": "ajeetsingh17/bert-base-model-attention-is-all-you-need", "kernel_id": "27840717"}, {"ref": "tdh512194/simple-5-foldcv-deberta-baseline", "kernel_id": "27424591"}, {"ref": "fanbyprinciple/baseline-bert-using-tensorflow", "kernel_id": "27775155"}, {"ref": "ryanholbrook/feedback-prize-efficiency-leaderboard", "kernel_id": "27331191"}, {"ref": "nkenyor/logisticregression-tfidf-5-folds-improved", "kernel_id": "27848027"}, {"ref": "himanshubag/feedback-prize-simple-bert", "kernel_id": "27927385"}, {"ref": "morodertobias/feedback-prize-bert", "kernel_id": "27990561"}, {"ref": "morodertobias/feedback-prize-bert-inference", "kernel_id": "27999919"}, {"ref": "mpwolke/feedback-prize-effectiveness-remix", "kernel_id": "27344589"}, {"ref": "heyytanay/feedback-pytorch-training-bert-large-w-b", "kernel_id": "27347117"}, {"ref": "bhavesh0124/quick-eda", "kernel_id": "27347466"}, {"ref": "tegzes/predicting-effective-arguments-simple-eda", "kernel_id": "27397330"}, {"ref": "akashadesai/exploratory-data-analysis-getting-started", "kernel_id": "27348075"}, {"ref": "dinowun/eda-simplified-feedback-prize-effectiveness-b", "kernel_id": "27749159"}, {"ref": "vivek61/eda-feedback-prize", "kernel_id": "27969999"}, {"ref": "tauilabdelilah/feedback-prize-eda", "kernel_id": "27345597"}, {"ref": "debarshichanda/pytorch-feedback-deberta-v3-baseline", "kernel_id": "27340909"}, {"ref": "debarshichanda/feedback-inference", "kernel_id": "27353165"}, {"ref": "pranjalverma08/feedback-prize-starter-eda", "kernel_id": "27332952"}, {"ref": "bakar31/eda-let-s-see-what-we-have-here", "kernel_id": "27406772"}, {"ref": "tracyporter/effective-argument-spacy", "kernel_id": "27925184"}, {"ref": "tracyporter/effective-argument-sklearn-lr-txt-file", "kernel_id": "27958070"}, {"ref": "tracyporter/effective-argument-sklearn-txt-file", "kernel_id": "27957210"}, {"ref": "tracyporter/effective-argument-sklearn", "kernel_id": "27955174"}, {"ref": "foolishboi/feedback-inspired-eda", "kernel_id": "27526307"}, {"ref": "himanshutripathi/0-73-score-feedback-prize-effectiveness", "kernel_id": "27589477"}, {"ref": "himanshutripathi/in-depth-eda-interactive-visualization", "kernel_id": "27524805"}, {"ref": "dlaststark/fpe-no-fancy-stuff", "kernel_id": "27919209"}, {"ref": "bhavikardeshna/transformer-bert-tensorflow", "kernel_id": "27873045"}, {"ref": "bhavikardeshna/logisticregression-feedback-price-effectiveness", "kernel_id": "27876206"}, {"ref": "bhavikardeshna/logisticregression-tf-idf-optuna-k-folds", "kernel_id": "27984869"}, {"ref": "venkateshbingi/feedback-prize-1", "kernel_id": "27929419"}, {"ref": "murtadhayaseen/copetition1", "kernel_id": "27772049"}, {"ref": "hugoya/pytorch-lightning-feedback-prediction", "kernel_id": "27454591"}, {"ref": "edadi1l/essay-arguments", "kernel_id": "27669356"}, {"ref": "imvision12/tensorflow-feedback-bert-baseline", "kernel_id": "27418912"}, {"ref": "mustafakeser4/feedback-eda", "kernel_id": "27996876"}, {"ref": "psmart/better-predictions-end-to-end", "kernel_id": "27424466"}, {"ref": "psmart/very-simple-predictions-end-to-end", "kernel_id": "27394509"}, {"ref": "chiragmehtadsc/feedback-with-fasttext", "kernel_id": "27815838"}, {"ref": "hitarth10298/feedbackprize-predicting", "kernel_id": "27774124"}, {"ref": "abhishek/convert-to-old-format-folds", "kernel_id": "28987563"}, {"ref": "nitsourish/distilbert-base-cased-baseline", "kernel_id": "28490336"}, {"ref": "nitsourish/nlpstarter-plain-lgbm-classifier-with-kfold", "kernel_id": "28919291"}, {"ref": "athews/effective-ineffective-or-adequate-a-study", "kernel_id": "28735807"}, {"ref": "shaggy11/first-version-distilbert-training", "kernel_id": "28898154"}, {"ref": "shaggy11/first-version-distilbert-inference", "kernel_id": "28906155"}, {"ref": "shaggy11/second-version-deberta-v3-training", "kernel_id": "28923514"}, {"ref": "shaggy11/second-version-deberta-v3-inference", "kernel_id": "28923515"}, {"ref": "bryanb/feedback-prize-eda", "kernel_id": "28994267"}, {"ref": "ohmeow/deblurrta-a-baseline-using-fast-ai-and-blurr", "kernel_id": "28518279"}, {"ref": "afsahulsyed/knn-without-balance", "kernel_id": "28399236"}, {"ref": "arvissu/sentence-transformers-roberta-inference-v2", "kernel_id": "28111195"}, {"ref": "hs9000/feedback-prize", "kernel_id": "28242072"}, {"ref": "deepakbhatp/fpe-stratified-group-k-fold", "kernel_id": "28377518"}, {"ref": "scchuy/multi-task-learning-deberta-large-pretrain", "kernel_id": "28982193"}, {"ref": "arunamenon/feedback-prize-complete-eda-modelling-deberta", "kernel_id": "28348904"}, {"ref": "arunamenon/feedback-prize-deberta-inference", "kernel_id": "28375946"}, {"ref": "arunamenon/feedback-prize-gan-bert-train", "kernel_id": "28773682"}, {"ref": "powercode/prompt-learning", "kernel_id": "28889162"}, {"ref": "vithal2311/feedback-prize-keras-with-hyperparameter-tuning", "kernel_id": "28276120"}, {"ref": "hws2006/feedback-prize-w2v-dnn", "kernel_id": "28588104"}, {"ref": "kerolosemad/feedback-lstm-glove6b-tpu", "kernel_id": "28182575"}, {"ref": "deepanshu0009/bert-base-uncased", "kernel_id": "28661922"}, {"ref": "manikanthgoud/feedback-prize-exploratory-data-analysis-eda", "kernel_id": "28085424"}, {"ref": "sapeksh/deberta-base-deberta-large-roberta-lgbm", "kernel_id": "28632368"}, {"ref": "sapeksh/ensemble-deberta-roberta-lgbm", "kernel_id": "28507588"}, {"ref": "kuntalpal/feedback-prize-predicting-effective-arguments", "kernel_id": "28918265"}, {"ref": "jitensharma597/feedback-prize-submission-xlm-roberta", "kernel_id": "28087427"}, {"ref": "jitensharma597/feedback-prize-xlm-roberta", "kernel_id": "28079096"}, {"ref": "bhavesjain/train-logisticregression-fpe-sentencetransformer", "kernel_id": "28049728"}, {"ref": "bhavesjain/infer-logisticregression-fpe-sentencetransformer", "kernel_id": "28051321"}, {"ref": "nbroad/token-classification-approach-fpe", "kernel_id": "28886002"}, {"ref": "filippobuonco95/tfidf-neuralnet", "kernel_id": "28382902"}, {"ref": "filippobuonco95/embeddings-neuralnet", "kernel_id": "28449907"}, {"ref": "tegzes/deberta-large-train-no-folds", "kernel_id": "28493123"}, {"ref": "kashiwaba/train-deberta-v3-large-with-optimization-approach", "kernel_id": "28195894"}, {"ref": "iamleonie/feedback-prize-eda-starter-for-beginners", "kernel_id": "28420605"}, {"ref": "raj26000/pytorch-feedback-deberta-base-inference", "kernel_id": "28595537"}, {"ref": "raj26000/pytorch-feedback-siamese-deberta-base-training", "kernel_id": "28538235"}, {"ref": "bharadwajvedula/feedback-prize-tpu-roberta-inference", "kernel_id": "28820601"}, {"ref": "bharadwajvedula/lb-0-671-roberta-large-inference", "kernel_id": "28962485"}, {"ref": "bharadwajvedula/feedback-prize-tpu-roberta-training-fold-4", "kernel_id": "28819972"}, {"ref": "tianzijing/fpe-train-deberta-baseline-pytorch-lightning", "kernel_id": "28296094"}, {"ref": "realsleim/jax-wheels", "kernel_id": "28735878"}, {"ref": "deepakkaura/student-writing-the-visualization", "kernel_id": "28091991"}, {"ref": "elmetejon/starting-with-eda-logistic-model", "kernel_id": "28925897"}, {"ref": "muki2003/submission-for-feedback-arugument-bert", "kernel_id": "28412641"}, {"ref": "muki2003/tpu-feedback-arugument-prediction-bert", "kernel_id": "28260050"}, {"ref": "venkatkumar001/nlpstarter4-distilbert-bert-base-cased", "kernel_id": "28611559"}, {"ref": "venkatkumar001/nlpstarter-3-simple-ml-baseline-algo-with-kfold", "kernel_id": "28231160"}, {"ref": "ilyesbouchelkia/student-writing-for-beginners-bert-base-model", "kernel_id": "28192937"}, {"ref": "alvaroalbarrn/effective-arguments-eda", "kernel_id": "28202586"}, {"ref": "quclongphan/deberta-v3-training", "kernel_id": "28524767"}, {"ref": "quclongphan/deberta-v3-baseline", "kernel_id": "28399974"}, {"ref": "quclongphan/deberta-v3-inference", "kernel_id": "28455673"}, {"ref": "ashokkumargarain/notebook56feedback-prize", "kernel_id": "28798162"}, {"ref": "ashokkumargarain/notebooka39e", "kernel_id": "28780175"}, {"ref": "tanvirdeol/predicting-effective-arguements", "kernel_id": "28322362"}, {"ref": "vad13irt/optimization-approaches-for-transformers", "kernel_id": "28014302"}, {"ref": "anantgupt/pytorch-feedback-eda-train-deberta-v3", "kernel_id": "28615909"}, {"ref": "anantgupt/feedback-infer-submission", "kernel_id": "28694528"}, {"ref": "mustafagull/predicting-effective-arguments-with-nn", "kernel_id": "28132636"}, {"ref": "feezakhankhanzada/training-bert-for-prediction-beginner", "kernel_id": "28679131"}, {"ref": "dlaststark/feedback-ensemble-everything", "kernel_id": "28420685"}, {"ref": "dlaststark/feedback-inference-playground", "kernel_id": "28611063"}, {"ref": "apoorvjha63/fork-of-feedbackclassification", "kernel_id": "28510346"}, {"ref": "apoorvjha63/non-dl-approach", "kernel_id": "28633742"}, {"ref": "unlimitedpower/discoursedeberta-v3-base", "kernel_id": "28456740"}, {"ref": "santosh1974/feedback-price-effectiveness-first", "kernel_id": "28463942"}, {"ref": "ravikumarmn/feedback-effective-argument-prediction", "kernel_id": "28901169"}, {"ref": "ravikumarmn/feedback-prize-effectiveness-tensorflow-hub", "kernel_id": "28829280"}, {"ref": "ravikumarmn/feedback-prize-effectiveness-eda-bert-base", "kernel_id": "28919652"}, {"ref": "mujrush/feedback2-word2vec-lightgbm", "kernel_id": "28498048"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "learnitanyway/24th-inference-deberta-ensemble", "kernel_id": "28823975"}, {"ref": "chaitanyagiri/deberta-pre-training-using-mlm", "kernel_id": "28945551"}, {"ref": "renokan/effectargs-checking-info-len-freq-count", "kernel_id": "28159664"}, {"ref": "renokan/eda-number-of-words-in-discourse-text", "kernel_id": "28290812"}, {"ref": "renokan/fork-tez-for-feedback-v2-0", "kernel_id": "28233256"}, {"ref": "renokan/fork-roberta-base-inference-v2-0", "kernel_id": "28238229"}, {"ref": "renokan/check-tokenizer-tokens-in-discourse-text", "kernel_id": "28415685"}, {"ref": "renokan/fork-ensemble-deberta-roberta", "kernel_id": "28336230"}, {"ref": "renokan/check-resolve-encodings", "kernel_id": "28343943"}, {"ref": "renokan/dummy-method-fixed-predictions", "kernel_id": "28593880"}, {"ref": "renokan/test-fast-fixed-predictions-not-infer", "kernel_id": "28640695"}, {"ref": "renokan/test-fast-fixed-predictions-not-train", "kernel_id": "28650049"}, {"ref": "brandonhu0215/feedback-deberta-large-lb0-619", "kernel_id": "28111148"}, {"ref": "dhirendra73/starter-tfidf-xgboost-to-glove-bilstm", "kernel_id": "28168355"}, {"ref": "sagarikajadon/feedback-deberta-inference", "kernel_id": "28594756"}, {"ref": "sagarikajadon/feedback-deberta-baseline-train", "kernel_id": "28530929"}, {"ref": "karlpetz/student-feedback-eda-nlp-model", "kernel_id": "28062386"}, {"ref": "oliverlionado/infer-fpe2022-baseline", "kernel_id": "28265450"}, {"ref": "galegale05/a-simple-mobile-eda-webpage", "kernel_id": "28645827"}, {"ref": "kaichixie/fpe-pytorch-train-deberta-v3-base", "kernel_id": "28273153"}, {"ref": "wajidhassanmoosa/feedback-prize-effectiveness-nnlm-128", "kernel_id": "28184514"}, {"ref": "uditsharma72/feedback-prize-predicting-effective-arguments", "kernel_id": "28251395"}, {"ref": "uditsharma72/feedback-prize-predicting-bert", "kernel_id": "28451833"}, {"ref": "uditsharma72/feedback-prize-bert", "kernel_id": "28326101"}, {"ref": "omkargode/folds", "kernel_id": "28130340"}, {"ref": "omkargode/preprocess-deberta-base-512", "kernel_id": "28155051"}, {"ref": "chenghaozhe/notebookfa8a436bef", "kernel_id": "28638476"}, {"ref": "shreyasadhari123/deberta-data-512", "kernel_id": "28179472"}, {"ref": "sylvanasfor/fork-ensemble-deberta-roberta", "kernel_id": "28387330"}, {"ref": "fabienmontegut/finding-the-best-approach-for-each-discourse-type", "kernel_id": "28422358"}, {"ref": "yujikomi/feedbackprize2-train", "kernel_id": "28248987"}, {"ref": "yujikomi/feedbackprize2-inference", "kernel_id": "28276458"}, {"ref": "devanshu12122/feedback-prize-using-xg-boost", "kernel_id": "28391238"}, {"ref": "akashsdevbanshi/tensorflow-model-using-lstm-and-conv-layer-85-acc", "kernel_id": "28950662"}, {"ref": "authormorgan/electra-large-4fold", "kernel_id": "28958113"}, {"ref": "authormorgan/ele-large-4fold-2", "kernel_id": "28942876"}, {"ref": "authormorgan/electra-base-4fold", "kernel_id": "28942885"}, {"ref": "authormorgan/bert-base-5fold", "kernel_id": "28930006"}, {"ref": "authormorgan/deberta-v3-base-2-3-4", "kernel_id": "28902495"}, {"ref": "authormorgan/deberta-v3-base-0-1", "kernel_id": "28902337"}, {"ref": "robber19/feedback-prize-evaluating-longformer-lgbm", "kernel_id": "28768821"}, {"ref": "robber19/feedback-price-effectiveness-lgbm", "kernel_id": "28663638"}, {"ref": "maxverstappen/feedback-deberta-large-lb0-619", "kernel_id": "28774910"}, {"ref": "maxverstappen/feedback-test-111", "kernel_id": "28655596"}, {"ref": "maxverstappen/fb-less-feature", "kernel_id": "28469034"}, {"ref": "ltrahul/feedback-prize-effective-arguments-2", "kernel_id": "28819133"}, {"ref": "ltrahul/feedback-2022", "kernel_id": "28796856"}, {"ref": "ltrahul/feedback-prize-effective-arguments-1", "kernel_id": "28650229"}, {"ref": "eisgandar/predicting-effective-arguments", "kernel_id": "28037921"}, {"ref": "thedevastator/feedback-roberta-large-training", "kernel_id": "28512181"}, {"ref": "thedevastator/error-analysis-see-transformer-s-attention", "kernel_id": "28252997"}, {"ref": "thedevastator/error-analysis-visualize-bert-s-attention", "kernel_id": "28252060"}, {"ref": "krishnendudakshi02/transformer-from-scratch", "kernel_id": "28948356"}, {"ref": "rolianklay/final-ensemble-silver-medal-result-0-58718", "kernel_id": "28900319"}, {"ref": "rolianklay/lb-0-611-deberta-v3-base-roberta-deberta-large", "kernel_id": "28595419"}, {"ref": "adrinhernndezs/feedback-price-effectiveness-logisticregression", "kernel_id": "28206808"}, {"ref": "lastofus111/fb-train-v2", "kernel_id": "28746636"}, {"ref": "lastofus111/bert-large-5fold", "kernel_id": "28805229"}, {"ref": "lastofus111/fb-infer", "kernel_id": "28418728"}, {"ref": "lastofus111/pppm-train", "kernel_id": "28418779"}, {"ref": "chenyangshang/model", "kernel_id": "28585925"}, {"ref": "mountpotatoq/autogluon-finetune-solutions", "kernel_id": "28986381"}, {"ref": "lau01b/feedback-prize-pretrained-training", "kernel_id": "28825194"}, {"ref": "abhishek/0-577-single-model-full-code", "kernel_id": "29865165"}, {"ref": "lextoumbourou/feedback-deberta-xlarge-0-588-public-lb", "kernel_id": "29786917"}, {"ref": "philippsinger/team-hydrogen-efficiency-prize-1st-place", "kernel_id": "29846977"}, {"ref": "saansd2003/feedback-effeciveness-centre-context-ulmfit", "kernel_id": "29690724"}, {"ref": "saansd2003/feedback-effeciveness-centre-context-full-ulmfit", "kernel_id": "29736353"}, {"ref": "saansd2003/feedback-effeciveness-ulmfit-backward", "kernel_id": "29663693"}, {"ref": "saansd2003/feedback-effeciveness-with-essay-text-using-ulmfit", "kernel_id": "29626169"}, {"ref": "saansd2003/feedback-effeciveness-debertav3-metrics-fixed", "kernel_id": "29989878"}, {"ref": "saansd2003/feedback-effeciveness-debertav3-small", "kernel_id": "29935850"}, {"ref": "legend507/baseline-classify-text-with-bert", "kernel_id": "29486575"}, {"ref": "verracodeguacas/submission-1", "kernel_id": "29601896"}, {"ref": "verracodeguacas/submission-2", "kernel_id": "29764364"}, {"ref": "takuok/pytorch-libs", "kernel_id": "29591927"}, {"ref": "edumoran/huge-ensemble-deberta-fine-tuned-xgb", "kernel_id": "29693475"}, {"ref": "trushk/tk-fpe-models-v5", "kernel_id": "29699073"}, {"ref": "trushk/tk-fpe-models-v6", "kernel_id": "29702009"}, {"ref": "trushk/tk-debl-models", "kernel_id": "29163800"}, {"ref": "trushk/tk-fpe-models-v2", "kernel_id": "29525848"}, {"ref": "shigengtian/prepare-mlm-data", "kernel_id": "29082976"}, {"ref": "tonylek/lingo-notebook2", "kernel_id": "29104960"}, {"ref": "wuyhbb/inference-feedback2022-lgb-topic", "kernel_id": "29127373"}, {"ref": "thedrcat/hf-43b-pseudo-download", "kernel_id": "29814251"}, {"ref": "thedrcat/hf-43bpseudo-infer-single-full-data-model", "kernel_id": "29814300"}, {"ref": "kneroma/fpzeff-db3l-psl-1span-notune-v3-1-m1152-weights", "kernel_id": "29732445"}, {"ref": "kneroma/fpzeff-db3l-psl-nofold-1span-v3-1-m1152-weights", "kernel_id": "29797375"}, {"ref": "kneroma/fpzeff-fast-lb-efgp-inference", "kernel_id": "29797419"}, {"ref": "kneroma/fpzeff-db1xl-psl-1span-notune-v3-1-m864-weights", "kernel_id": "29796846"}, {"ref": "kneroma/fpzeff-db1l-psl-1span-notune-v3-1-m1152-weights", "kernel_id": "29769705"}, {"ref": "kneroma/fpzeff-db2xl-psl-1span-notune-v3-1-m1152-weights", "kernel_id": "29765823"}, {"ref": "kneroma/kkiller-final-fpzeff-team-work-inference", "kernel_id": "29811673"}, {"ref": "kneroma/fpzeff-db1l-psl-nofold-1span-v3-1-m1152-weights", "kernel_id": "29801818"}, {"ref": "tikutiku/feedback2-stacking", "kernel_id": "29136643"}, {"ref": "tikutiku/fb2-29-vl-01-deberta-v3-large", "kernel_id": "29497768"}, {"ref": "tikutiku/fb2-29-v2-02-deberta-xlarge", "kernel_id": "29523048"}, {"ref": "tikutiku/fb2-29-v2-01-deberta-large", "kernel_id": "29469414"}, {"ref": "tikutiku/fb2-32-v2-01-deberta-large", "kernel_id": "29597978"}, {"ref": "tikutiku/fb2-34-vl-01-deberta-v3-large", "kernel_id": "29745542"}, {"ref": "tikutiku/fb2-34-v2-02-deberta-large", "kernel_id": "29722539"}, {"ref": "tikutiku/fb2-32-vl-01-deberta-v3-large", "kernel_id": "29627442"}, {"ref": "tikutiku/fb2-32-v2-02-deberta-xlarge", "kernel_id": "29627460"}, {"ref": "scchuy/skipgrampretrain-multi-task-learning", "kernel_id": "29082878"}, {"ref": "arunamenon/feedback-prize-binary-gan-bert-effective-train", "kernel_id": "29236972"}, {"ref": "ryanholbrook/feedback-prize-efficiency-analysis", "kernel_id": "29854778"}, {"ref": "geomar/deberta-large-retrain-xgboost", "kernel_id": "29850763"}, {"ref": "conjuring92/ens58-lstm-lgb-all", "kernel_id": "29814467"}, {"ref": "conjuring92/exp19-dexl-dataset-part-1", "kernel_id": "29766046"}, {"ref": "conjuring92/exp19-dexl-revisit-dataset-part-2", "kernel_id": "29766339"}, {"ref": "conjuring92/exp17-luke-dataset-part-2", "kernel_id": "29681734"}, {"ref": "conjuring92/exp17-luke-dataset-part-1", "kernel_id": "29708872"}, {"ref": "conjuring92/exp18-delv3-prompt-dataset-part-1", "kernel_id": "29709154"}, {"ref": "conjuring92/exp08-del-dataset-part-1", "kernel_id": "29482748"}, {"ref": "conjuring92/exp08-del-dataset-part-2", "kernel_id": "29482936"}, {"ref": "conjuring92/exp11-delv3-uda-4-folds", "kernel_id": "29327998"}, {"ref": "conjuring92/exp7-dexl-8-8-folds-dataset", "kernel_id": "29381592"}, {"ref": "conjuring92/exp7-dexl-3-8-folds-dataset", "kernel_id": "29380928"}, {"ref": "conjuring92/exp7-dexl-6-8-folds-dataset", "kernel_id": "29381363"}, {"ref": "conjuring92/03-exp09-delv3-revisited-4-folds", "kernel_id": "29267631"}, {"ref": "conjuring92/02-exp02-longformer-4-folds", "kernel_id": "29241702"}, {"ref": "conjuring92/00-backup-dataset", "kernel_id": "29168887"}, {"ref": "conjuring92/01-a-prod-fpe-dexl-4fold-dataset", "kernel_id": "29228092"}, {"ref": "shinomoriaoshi/feedbackprize2-v12h-infer", "kernel_id": "29646525"}, {"ref": "shinomoriaoshi/feedbackprize2-v12c-stg2-tri-train", "kernel_id": "29651551"}, {"ref": "sstanou/bert-case-dense-layer", "kernel_id": "29282528"}, {"ref": "inagana/simple-eda-and-insights-for-beginners-with-seaborn", "kernel_id": "29125875"}, {"ref": "inagana/baseline-with-huggingface-training-beginners", "kernel_id": "29168859"}, {"ref": "rachanabisht/feedback-prize-lr-vs-rf", "kernel_id": "29061466"}, {"ref": "rachanabisht/lr-vs-rf-on-text-files", "kernel_id": "29377099"}, {"ref": "kristantotanusdjaja/notebook6a193b350b", "kernel_id": "29393804"}, {"ref": "aretma/fasttext", "kernel_id": "29389751"}, {"ref": "albert13541031274/feedback-price-distilbert-tf", "kernel_id": "29270802"}, {"ref": "shujun717/feedback-no-ffn-s-gru-converter", "kernel_id": "29318457"}, {"ref": "shujun717/final-fpzeff-team-work-inference", "kernel_id": "29801012"}, {"ref": "shujun717/fpzeff-db1l-psl-1span-notune-v3-1-m1152-weights", "kernel_id": "29805839"}, {"ref": "shujun717/fb-5th-rd-pl", "kernel_id": "29747084"}, {"ref": "zahidbooni/bidirectional-grus-using-keras", "kernel_id": "29474179"}, {"ref": "tegzes/roberta-base-training-with-fixed-dataset", "kernel_id": "29635232"}, {"ref": "tegzes/deberta-base-training-with-fixed-dataset", "kernel_id": "29625443"}, {"ref": "italosimoes/feedback-prize-lgbm", "kernel_id": "29069303"}, {"ref": "kosukeponi/data-augmentation", "kernel_id": "29032328"}, {"ref": "bharadwajvedula/pytorch-gpu-debertav3-base-inference", "kernel_id": "29150306"}, {"ref": "bharadwajvedula/pytorch-gpu-debertav3-base-training-fold-4", "kernel_id": "29139213"}, {"ref": "petergeorgebeidler/very-simple-tfidf-linreg", "kernel_id": "29231171"}, {"ref": "petergeorgebeidler/tfidf-logreg", "kernel_id": "29469783"}, {"ref": "haplophyrne/torchver", "kernel_id": "29418734"}, {"ref": "goldenskygiang/feedback-prize-eda-bert-baseline", "kernel_id": "29399899"}, {"ref": "rahilsidiqqui/feedback-price-rating", "kernel_id": "29215866"}, {"ref": "edoziemenyinnaya/notebook7502320d2f", "kernel_id": "29251532"}, {"ref": "gauravahujaravenclaw/feedback", "kernel_id": "29116649"}, {"ref": "nischaydnk/stacking-v1", "kernel_id": "29583136"}, {"ref": "horsek/fb-eff-157a-stage2-train", "kernel_id": "29625802"}, {"ref": "horsek/fb-eff-157a-stage3-train", "kernel_id": "29626493"}, {"ref": "muki2003/bert-sequence-custome-rnn-model", "kernel_id": "29327115"}, {"ref": "manojkumars00/seq-data-preparation-predicting-arguments", "kernel_id": "29322005"}, {"ref": "brucewaynew/2048transformer-tokenizer", "kernel_id": "29620936"}, {"ref": "brucewaynew/debertav3large-tokenizer", "kernel_id": "29621079"}, {"ref": "brucewaynew/token-classification-approach-deberta-base", "kernel_id": "29574061"}, {"ref": "brucewaynew/token-classification-approach-2048transformer", "kernel_id": "29574065"}, {"ref": "brucewaynew/deberta-v3-large-lr5e-7-fold1", "kernel_id": "29321529"}, {"ref": "brucewaynew/deberta-v3-large-lr5e-7", "kernel_id": "29245262"}, {"ref": "venkatkumar001/let-s-try-fast-ai-with-transformer", "kernel_id": "29016854"}, {"ref": "elliot321/pseudo-labeling-how-to-get-pseudo-labels", "kernel_id": "29478235"}, {"ref": "datakite/discourse-effectiveness-ratings-pred-using-keras", "kernel_id": "29635443"}, {"ref": "rhitwijmukherjee/prizepred", "kernel_id": "29322043"}, {"ref": "vad13irt/optimization-approaches-for-transformers-part-2", "kernel_id": "29779534"}, {"ref": "kaledhoshme/transformers-text-classification", "kernel_id": "29535267"}, {"ref": "pypiahmad/deberta-base-large-roberta", "kernel_id": "29037904"}, {"ref": "catchbat/feedback-infer3", "kernel_id": "29182941"}, {"ref": "lordxerxes/feedback-argument-competition", "kernel_id": "29570586"}, {"ref": "ryanbarretto/debertalargeauxtraining", "kernel_id": "29799295"}, {"ref": "kunihikofurugori/25th-setencetransformer-fpe-lgb-furu", "kernel_id": "29819033"}, {"ref": "avilaqba/firstdraft", "kernel_id": "29177329"}, {"ref": "avilaqba/seconddraft", "kernel_id": "29178165"}, {"ref": "dlaststark/feedback-roberta-large-v5-3-tf-model-train", "kernel_id": "29396956"}, {"ref": "dlaststark/feedback-roberta-large-v5-4-tf-model-train", "kernel_id": "29406073"}, {"ref": "dlaststark/feedback-roberta-large-pretraining-v2-2", "kernel_id": "29311069"}, {"ref": "abhishekme19b069/transformer-from-scratch-tensorflow-training", "kernel_id": "29404282"}, {"ref": "abhishekme19b069/transformer-from-scratch-eda-visualisation", "kernel_id": "29397944"}, {"ref": "aminahnurrahmawati/nlp-predicting-effective-arguments", "kernel_id": "29398980"}, {"ref": "harukiyasui/feedback-prize-eda", "kernel_id": "29040477"}, {"ref": "harukiyasui/eda-v2", "kernel_id": "29265740"}, {"ref": "abduygur/sklearn-randomforestclassifier", "kernel_id": "29573312"}, {"ref": "charliezimmerman/receive-model-loss-updates-via-sms-during-training", "kernel_id": "29611339"}, {"ref": "jellynexus/feedbackprize-nkh", "kernel_id": "29077662"}, {"ref": "dominic789654/fpe-get-oof", "kernel_id": "29749708"}, {"ref": "renokan/test-is-fast-tokenizer-really-fast", "kernel_id": "29108462"}, {"ref": "vison20080808/feedback-prize-inference", "kernel_id": "29450945"}, {"ref": "olanrewajukolawole/feedbacks", "kernel_id": "29527593"}, {"ref": "jimkaihuang/feedback-prize-effectiveness-bert-cnn", "kernel_id": "29056422"}, {"ref": "nandhinimuthusamy/notebook9ea99c74ae", "kernel_id": "29615996"}, {"ref": "evgensuit/predicting-effective-arguments-submission", "kernel_id": "29070967"}, {"ref": "fengqilong/replication-of-the-basics-of-top-1-solution", "kernel_id": "29942741"}, {"ref": "ivesnx/inference-token-classification", "kernel_id": "29346190"}, {"ref": "kunduwang/bert-baseline", "kernel_id": "29446199"}, {"ref": "corentinbonnefond/fork-rob-deberta-woc", "kernel_id": "29434391"}, {"ref": "corentinbonnefond/for-begginers", "kernel_id": "29326652"}, {"ref": "xiangmeng123/transformers-gbm-ensemble", "kernel_id": "29434820"}, {"ref": "chickenugget/predicting-effective-argument-using-lst-model", "kernel_id": "29275983"}, {"ref": "chickenugget/bert-model", "kernel_id": "29599920"}, {"ref": "chickenugget/predicting-effectiveness-using-bow-rf-classifier", "kernel_id": "29354467"}, {"ref": "xxxmaodu/comp9417", "kernel_id": "29113559"}, {"ref": "aaanicai/test-fold0", "kernel_id": "29120503"}, {"ref": "harshitkmr/fpe-deberta-training", "kernel_id": "29397972"}, {"ref": "mustafaadelibrahim/feedback-prize", "kernel_id": "29488889"}, {"ref": "authormorgan/deberta-lr5e-7-fold2", "kernel_id": "29321482"}, {"ref": "authormorgan/deberta-lr5e-7-fold3", "kernel_id": "29321510"}, {"ref": "authormorgan/deberta-large-v3-1e-6-fold0", "kernel_id": "29335245"}, {"ref": "authormorgan/deberta-large-v3-1e-6-fold1", "kernel_id": "29335250"}, {"ref": "authormorgan/deberta-v1-large-5fold-wyc-0", "kernel_id": "29566327"}, {"ref": "authormorgan/deberta-v1-large-5fold-wyc-1", "kernel_id": "29566372"}, {"ref": "authormorgan/deberta-large-4fold-1", "kernel_id": "29469928"}, {"ref": "authormorgan/deberta-large-4fold-2", "kernel_id": "29469933"}, {"ref": "robber19/bert-large-training", "kernel_id": "29062334"}, {"ref": "robber19/huge-ensemble-deberta-roberta-xgboost", "kernel_id": "29016327"}, {"ref": "gwsuck/fb-token-classification", "kernel_id": "29596413"}, {"ref": "gwsuck/token-classification-approach-deberta-large", "kernel_id": "29613830"}, {"ref": "shree321/bert-base-cased", "kernel_id": "29238344"}, {"ref": "willis2/nlp-essay-comp", "kernel_id": "29570379"}, {"ref": "oumouhouh/textclassificationbert", "kernel_id": "29789580"}, {"ref": "thedevastator/huge-ensemble", "kernel_id": "29021299"}, {"ref": "palealex/feedback-competition", "kernel_id": "29367372"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "rolianklay/pseudo-labeling-how-to-get-pseudo-labels", "kernel_id": "29318881"}, {"ref": "lastofus111/roberta-large-1", "kernel_id": "29393298"}, {"ref": "lastofus111/roberta-large-2", "kernel_id": "29393306"}, {"ref": "lastofus111/deberta-1e-6-3", "kernel_id": "29335327"}, {"ref": "lastofus111/deberta-1e-6-4", "kernel_id": "29335345"}, {"ref": "lastofus111/deberta-large-v1-fold4", "kernel_id": "29566397"}, {"ref": "lastofus111/roberta-large-fold0-fgm", "kernel_id": "29546031"}, {"ref": "lastofus111/roberta-large-2-batch12", "kernel_id": "29474899"}, {"ref": "ryonryon8888/submit", "kernel_id": "29428865"}, {"ref": "ryonryon8888/fbpe-deberta", "kernel_id": "29344625"}, {"ref": "ducciow/feedbackprize-inference-for-token-classification", "kernel_id": "29356330"}, {"ref": "vibhorsharma111/lstm-model-using-tensorflow-87-acc", "kernel_id": "29540337"}, {"ref": "vibhorsharma111/predictive-modelling-using-tensorflow-99-6-acc-rdf", "kernel_id": "29525438"}, {"ref": "jzjzjz123/fpe-baseline", "kernel_id": "29495715"}, {"ref": "jzjzjz123/baseline-with-huggingface-training-beginners", "kernel_id": "29489998"}, {"ref": "ybabakhin/team-hydrogen-1st-place", "kernel_id": "30156473"}, {"ref": "ybabakhin/pip-wheels-feedback", "kernel_id": "30084328"}, {"ref": "takamichitoda/fb3-mlm-training-from-competition-data", "kernel_id": "30938942"}, {"ref": "kneroma/kkiller-fpzeff-2nd-place-inference", "kernel_id": "30125125"}, {"ref": "kneroma/kkiller-fpzeff-2nd-place-training", "kernel_id": "30126138"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "neesham/nlp-for-beginners", "kernel_id": "30979766"}, {"ref": "w1326627677/feedback-lgbm-doc2vec", "kernel_id": "30173033"}, {"ref": "yujikomi/all-essays-for-3-feedback-competitions", "kernel_id": "30003851"}, {"ref": "leehann/feedback-ell-infer", "kernel_id": "30013369"}, {"ref": "ayushabhinav3/effective-feedback", "kernel_id": "30059203"}, {"ref": "bansodesandeep/nlp-predicting-sentiment-of-covid-19-tweets", "kernel_id": "30444851"}, {"ref": "vinitkp/feedbackprize-english-language-learning-vinitp", "kernel_id": "31796733"}, {"ref": "dominic789654/ml-project-electra", "kernel_id": "31900755"}, {"ref": "dominic789654/ml-project", "kernel_id": "31879180"}, {"ref": "dominic789654/ml-project-cocolm", "kernel_id": "31884189"}, {"ref": "dominic789654/ml-project-cocolm-inference", "kernel_id": "31892224"}, {"ref": "marcgoff/reflection-post-mortem", "kernel_id": "31479098"}, {"ref": "yannhi/lookalike-notebook", "kernel_id": "31145680"}, {"ref": "nowlookahead/lunaticnfx", "kernel_id": "31463713"}, {"ref": "currypurin/feedback3-duplication-with-past-competition-data", "kernel_id": "32007440"}, {"ref": "vitouphy/fb3-multi-task-prediction", "kernel_id": "32671734"}, {"ref": "ralphabb/fp2efffirstplacecommented", "kernel_id": "32745585"}, {"ref": "abdurrahmankhan07/solution-mycht", "kernel_id": "32280877"}, {"ref": "yannhi/0-577", "kernel_id": "32146116"}, {"ref": "yannhi/0-577-acc1-finetuned-ensemble3-awp", "kernel_id": "32471770"}, {"ref": "kanishaksangwan/feedback-prize-effectiveness-eda-deberta-baseline", "kernel_id": "32227391"}, {"ref": "aboudeh/text-mining-project", "kernel_id": "33132740"}, {"ref": "ralphabb/fp2leadfirstplacecommented", "kernel_id": "34171787"}, {"ref": "ralphabb/fp2effthirdplacecommented", "kernel_id": "34170797"}, {"ref": "ralphabb/fp2effsecondplacecommented", "kernel_id": "34156657"}, {"ref": "themadrambito/pretrain-deberta-as-a-discriminator", "kernel_id": "34153859"}, {"ref": "galtimur/public-huge-ensemble-meta", "kernel_id": "35737240"}, {"ref": "reoghost/transformers-xgb-ensemble", "kernel_id": "36952778"}, {"ref": "akshatmundra/word2vec-from-almost-scratch", "kernel_id": "37959472"}, {"ref": "ayushjha7/feedback-prize-effectiveness-nlp", "kernel_id": "38193355"}, {"ref": "vikramsandu/indicbert-training", "kernel_id": "39390949"}, {"ref": "vikramsandu/commonlit-mlm", "kernel_id": "41600870"}, {"ref": "arslannarikbayev/nlp-text-feedback", "kernel_id": "41064307"}, {"ref": "alikken/nlp-model-feedback-prize", "kernel_id": "41134118"}, {"ref": "yaaangzhou/learning-llm-finetune-with-lora", "kernel_id": "42798912"}, {"ref": "pietrocometti99/longerepochs", "kernel_id": "44783184"}, {"ref": "mustafakeser4/basic-eda", "kernel_id": "45122703"}, {"ref": "mustafakeser4/labelling-detect-ai-interactive-labelling-tool", "kernel_id": "48726121"}, {"ref": "mustafakeser4/train-detectai-distilroberta-0-927", "kernel_id": "48928834"}, {"ref": "gauravbrills/train-detectai-bert-deberta-distil", "kernel_id": "49025740"}, {"ref": "tonymarkchris/train-detectai-deberta", "kernel_id": "50469004"}, {"ref": "nandaprasetia/predicting-effective-arguments-lstm", "kernel_id": "56673322"}, {"ref": "shreya1989/argument-effectiveness", "kernel_id": "69303690"}, {"ref": "dieudonnemhizha1/transformer-feed", "kernel_id": "74991162"}, {"ref": "dieudonnemhizha1/feedbackprize-predicting", "kernel_id": "74991245"}, {"ref": "belindachilwell/notebooke2cf479ffd", "kernel_id": "82902715"}, {"ref": "sanmeojadon/predicting-effective-argument", "kernel_id": "86099930"}, {"ref": "eric0045/predicting-effective-arguments-deberta-v3s-train", "kernel_id": "120180602"}, {"ref": "eric0045/predicting-effective-arguments-deberta-v3s-test", "kernel_id": "120306234"}, {"ref": "vivienjz/notebookd14de35e87", "kernel_id": "127597487"}]}
{"competition_id": "35313", "kernels": []}
{"competition_id": "35321", "kernels": []}
{"competition_id": "35325", "kernels": [{"ref": "samy101/paddy-disease-classification-starter-code-cnn", "kernel_id": "25459938"}, {"ref": "aliphya/exploring-paddy-data", "kernel_id": "26323132"}, {"ref": "tejasurya/paddy-disease-quickstart-resnet-in-keras", "kernel_id": "26862433"}, {"ref": "maifeeulasad/paddy-doctor-paddy-disease-classification", "kernel_id": "26342521"}, {"ref": "sartajbirsingh/paddy-disease-classification", "kernel_id": "26810692"}, {"ref": "gopalgoyal612002/paddy-disease-classification", "kernel_id": "26314780"}, {"ref": "abhishek123maurya/mobilenetv2-paddy-disease-classifier", "kernel_id": "26259755"}, {"ref": "gman123/fastai-out-of-the-box", "kernel_id": "27742716"}, {"ref": "nivu07/paddy-disease-transfer-learning-and-fine-tuning", "kernel_id": "27633260"}, {"ref": "nivu07/paddy-disease-classification-cnn-tensorflow-hub", "kernel_id": "27632656"}, {"ref": "hassanelgafif/paddy-disease-classification-using-cnn", "kernel_id": "27313399"}, {"ref": "nitibbgg/simple-cnn-paddy-disease-classifaction-acc-0-88", "kernel_id": "27318251"}, {"ref": "manabendrarout/pytorch-paddy-disease-identification-infer", "kernel_id": "27138780"}, {"ref": "manabendrarout/pytorch-tutorial-paddy-disease-identification", "kernel_id": "27113398"}, {"ref": "gpiosenka/set-lr-or-halt-training-f1-score-92", "kernel_id": "27834952"}, {"ref": "saidstar/paddy-disease-classification", "kernel_id": "27534953"}, {"ref": "koushikcon/efficientnet-b4-sampler", "kernel_id": "27817036"}, {"ref": "mpwolke/paddy-disease-neural-nets", "kernel_id": "27858170"}, {"ref": "koushikcs/paddy-disease", "kernel_id": "27434630"}, {"ref": "kushalkapoor/rice-paddy-classifier", "kernel_id": "27301648"}, {"ref": "muki2003/paddy-disease-classifier-tensorflow-keras", "kernel_id": "27086437"}, {"ref": "vyegyanathan/swin-transformer-autoaugment-and-lightning", "kernel_id": "27980516"}, {"ref": "bernhardertel/exploration-histograms-label-per-variety", "kernel_id": "27288570"}, {"ref": "amanbahuguna/vgg16-paddy-disease-classify-92-81-acc", "kernel_id": "27761177"}, {"ref": "amanbahuguna/efficientnetb0-paddy-disease-classify-89-69-acc", "kernel_id": "27799717"}, {"ref": "asheniranga/paddy-doctor-training", "kernel_id": "27823999"}, {"ref": "nishantsingh45/paddy-disease-classification", "kernel_id": "27444657"}, {"ref": "aayushdeswal/90-paddy-classification-efficientnetb2", "kernel_id": "27338693"}, {"ref": "mukeshrajm/paddy-disease-classification-fast-ai", "kernel_id": "27216697"}, {"ref": "youneskhandouch/paddy-disease-classification-with-cnn", "kernel_id": "27115097"}, {"ref": "akashsdevbanshi/cnn-tranfer-learning-fine-tuning-90-valid-acc", "kernel_id": "27593298"}, {"ref": "huilili/paddy-doctor", "kernel_id": "27617285"}, {"ref": "cbeaud/tf-keras-can-classify-paddy-disease", "kernel_id": "27322646"}, {"ref": "liyihua/paddy-cnn", "kernel_id": "27329955"}, {"ref": "jhoward/first-steps-road-to-the-top-part-1", "kernel_id": "28033313"}, {"ref": "jhoward/small-models-road-to-the-top-part-2", "kernel_id": "28053986"}, {"ref": "jhoward/scaling-up-road-to-the-top-part-3", "kernel_id": "28077898"}, {"ref": "jhoward/multi-target-road-to-the-top-part-4", "kernel_id": "28240143"}, {"ref": "swapnilpote/paddy-doctor-paddy-disease-classification", "kernel_id": "28530417"}, {"ref": "wittmannf/simple-benchmark-with-deepfeatx-and-sklearn", "kernel_id": "28300010"}, {"ref": "fmussari/fast-resnet34-with-fastai", "kernel_id": "28626490"}, {"ref": "fmussari/stratified-cross-validation-resnet34-fastai", "kernel_id": "28837333"}, {"ref": "bencoman/rttt4-multi-target-variety-age", "kernel_id": "28663874"}, {"ref": "miwojc/paddy-fastai-timm-1epoch", "kernel_id": "28283345"}, {"ref": "miwojc/paddy-resize", "kernel_id": "28236490"}, {"ref": "chtalhaanwar/huggingface-model", "kernel_id": "28694829"}, {"ref": "santhoshkumarv/visualize-paddy-disease-efficientnet-b0", "kernel_id": "28141462"}, {"ref": "jeffchen72/first-steps-road-to-the-top-part-1", "kernel_id": "28209163"}, {"ref": "moajjem04/paddy-doctor-convnext-v3", "kernel_id": "28958275"}, {"ref": "cheremgena/classification-paddy-desease", "kernel_id": "28903433"}, {"ref": "whoishoo/hooai-paddy-disease", "kernel_id": "28415852"}, {"ref": "maunilshah/paddy-disease-classification", "kernel_id": "28253073"}, {"ref": "mohdsarfarazali/paddy-disease-inception-resnet-v2", "kernel_id": "28813922"}, {"ref": "ritheshsreenivasan/paddydiseaseclassificationv2", "kernel_id": "28917155"}, {"ref": "asheniranga/ensemble-for-paddy-doctor-majority-vote", "kernel_id": "28516472"}, {"ref": "erdican/paddy-doctor-classification-with-pytorch-lightning", "kernel_id": "28668128"}, {"ref": "ivanshingel/paddy-disease-classification-tensorflow-keras", "kernel_id": "28693981"}, {"ref": "akshayr009/paddy-disease-classification", "kernel_id": "28615945"}, {"ref": "akshayr009/paddy-diseases", "kernel_id": "28587701"}, {"ref": "akshayr009/paddy-disease-inceptionv3-vgg19", "kernel_id": "28740089"}, {"ref": "arvidlevander/paddy-disease-classifier-90-validation", "kernel_id": "28397525"}, {"ref": "mohamedbakrey/paddy-disease-classification-by-using-dl", "kernel_id": "28179259"}, {"ref": "pepbravo/paddy-doctor-submission", "kernel_id": "28952717"}, {"ref": "kugatsunekawa/paddy-disease-multi-head-vgg16", "kernel_id": "28356984"}, {"ref": "konradszafer/paddy-disease-pytorch-acc-98-0", "kernel_id": "28410558"}, {"ref": "ugorjiir/ricepaddy", "kernel_id": "28993474"}, {"ref": "chandanakuntala/paddy-disease-inceptionv3-vgg16", "kernel_id": "28594143"}, {"ref": "catherineseytre/notebook99931092d3", "kernel_id": "28510595"}, {"ref": "sindhuinti/paddy1", "kernel_id": "28919341"}, {"ref": "faresabbasai2022/paddy-disease-classification", "kernel_id": "28933790"}, {"ref": "vvthai14/paddy-disease-classification-problem-model", "kernel_id": "28794610"}, {"ref": "rajeshsingh3474/paddy-doctor", "kernel_id": "28906469"}, {"ref": "alexanderyyy/paddydoctor-fastai2", "kernel_id": "28097542"}, {"ref": "ltrahul/sasta-phd-in-agriculture", "kernel_id": "28895816"}, {"ref": "ltrahul/finally-became-paddy-doctor", "kernel_id": "28856771"}, {"ref": "iamravi1/paddy", "kernel_id": "28923994"}, {"ref": "shaniperlpm/paddy-disease-super-gradients", "kernel_id": "28823034"}, {"ref": "ambarish/paddy-training-fold-0", "kernel_id": "29352871"}, {"ref": "ambarish/paddy-training-fold-1-and-2", "kernel_id": "29360278"}, {"ref": "ambarish/paddy-inference", "kernel_id": "29372753"}, {"ref": "ambarish/paddy-inference-convnext", "kernel_id": "29394711"}, {"ref": "tharunreddy/pytorch-baseline", "kernel_id": "29982671"}, {"ref": "rama3282/fastai-first-steps-road-to-the-top-part-1", "kernel_id": "29763111"}, {"ref": "vbookshelf/pytorch-timm-workflow-for-paddy-classification", "kernel_id": "29822894"}, {"ref": "canonicalized/paddy-disease-classification-autogluon", "kernel_id": "29936490"}, {"ref": "peterpetrov826/saving-paddy-with-fastai-0-982-on-lb", "kernel_id": "29382987"}, {"ref": "ayuraj/visualize-the-dataset-using-w-b-tables", "kernel_id": "29680786"}, {"ref": "medali1992/paddy-efficientnetb0-multilabel-stratification", "kernel_id": "29100395"}, {"ref": "ripon107/paddy", "kernel_id": "29242406"}, {"ref": "ritheshsreenivasan/paddydiseaseclassificationv4", "kernel_id": "29020395"}, {"ref": "aayusmaanjain/paddy-doctor-ensemble-94-test-acc", "kernel_id": "29444030"}, {"ref": "victorbahlangene/first-steps-road-to-the-top-part-1-tutorial", "kernel_id": "29963437"}, {"ref": "aleksandrmogilevskiy/resnet-k-fold-96", "kernel_id": "29557809"}, {"ref": "aleksandrmogilevskiy/baseline-train-val", "kernel_id": "29500397"}, {"ref": "aleksandrmogilevskiy/k-fold-stratified", "kernel_id": "29462739"}, {"ref": "mohamedazizchabchoub/fastai-ensembling-stratified-cross-validation", "kernel_id": "29853451"}, {"ref": "archietram/multi-target-disease-variety-and-age", "kernel_id": "29564672"}, {"ref": "archietram/subm-for-multi-target-road-to-the-top-part-4", "kernel_id": "29563373"}, {"ref": "archietram/stratified-cross-validation-resnet34-fastai", "kernel_id": "29565118"}, {"ref": "mohamedaminesaighi/paddy-first-stage-resnet50d-with-contrastive-loss", "kernel_id": "29495297"}, {"ref": "mohamedaminesaighi/paddy-disease-starter-pytorch", "kernel_id": "29009492"}, {"ref": "mohamedaminesaighi/paddy-disease-pytorch-inference-tta", "kernel_id": "29157501"}, {"ref": "mohamedaminesaighi/paddy-disease-starter-pytorch-arcface", "kernel_id": "29107194"}, {"ref": "hidoyu/ensembling-3-models-with-squished-224-3", "kernel_id": "29577294"}, {"ref": "hidoyu/ensembling-3-models-with-squished-224", "kernel_id": "29561743"}, {"ref": "joseenriquelopez/control-paddy-disease-classification", "kernel_id": "29219734"}, {"ref": "imbikramsaha/00-pushing-limits-on-paddy-doctor-fastai", "kernel_id": "29217044"}, {"ref": "imbikramsaha/paddy-disease-classification-with-98-15-accuracy", "kernel_id": "29757807"}, {"ref": "ikinglopez/paddy-doctor-entry", "kernel_id": "29237815"}, {"ref": "jiaowoguanren/paddy-doctor-paddy-disease-classification-tf", "kernel_id": "29614230"}, {"ref": "ababacardioukhane/paddy", "kernel_id": "29556669"}, {"ref": "anubhabkhanra/notebook01bd0c1753", "kernel_id": "29715914"}, {"ref": "omarrelsayeed/ricediseasefastai", "kernel_id": "29346422"}, {"ref": "jatinshah/fast-ai-course22-part-1-notebooks-combined", "kernel_id": "30750783"}, {"ref": "ahmedelmasry22/notebooka1d8cddd14", "kernel_id": "30963378"}, {"ref": "quincysproul/first-steps-road-to-the-top-part-1-alternative", "kernel_id": "30261373"}, {"ref": "archietram/small-models-multi-targets", "kernel_id": "30240278"}, {"ref": "bilalafzal255/paddy-doc-part2", "kernel_id": "30517106"}, {"ref": "heesungu/tensorflow-efficientnet-swintransformer-softvoting", "kernel_id": "30893808"}, {"ref": "danielliao/0008-fastai-first-steps-1-version-2", "kernel_id": "31988164"}, {"ref": "mernasamy/paddy-disease-classification-using-cnn", "kernel_id": "31626789"}, {"ref": "mostafaghanem96/paddy-disease-doctor-transfer-learning-resnet50", "kernel_id": "31621255"}, {"ref": "mostafaghanem96/new-beginning-paddy-classification-using-resnet50", "kernel_id": "31732064"}, {"ref": "mattfff/first-steps-road-to-the-top-part-2", "kernel_id": "31337579"}, {"ref": "alansp/first-steps-road-to-the-top-part-1", "kernel_id": "31369438"}, {"ref": "shravankumar147/fastai-timm-based-paddydoc", "kernel_id": "32846483"}, {"ref": "ssarkar445/paddy-pytorch-crossvalidation-ensemble", "kernel_id": "32324489"}, {"ref": "rafkaip/orbit-cv", "kernel_id": "32246576"}, {"ref": "lionsai/section-4-trasfer-learning", "kernel_id": "32611642"}, {"ref": "dhaouadirayen/paddy-doctor", "kernel_id": "32847707"}, {"ref": "goutamg/kaggle-workflow-1", "kernel_id": "32655479"}, {"ref": "ramielfil/notebook6c355538dd", "kernel_id": "32841106"}, {"ref": "ranimtelli/ml-tppp5", "kernel_id": "32874283"}, {"ref": "belhajsghaierghalia/ghalia-sarra", "kernel_id": "32759201"}, {"ref": "schoa0/pytorch-paddy-disease-identification-infer", "kernel_id": "32383494"}, {"ref": "madhaowagh/first-steps-road-to-the-top-part-1", "kernel_id": "33511549"}, {"ref": "khatkeashish/first-steps-road-to-the-top-part-1", "kernel_id": "33788355"}, {"ref": "dhaouadirayen/tp-ml1", "kernel_id": "33238281"}, {"ref": "ibsanmorales/first-steps-road-to-the-top-part-1", "kernel_id": "33127791"}, {"ref": "ibsanmorales/scaling-up-road-to-the-top-part-3", "kernel_id": "33127810"}, {"ref": "ibsanmorales/multi-target-road-to-the-top-part-4", "kernel_id": "33127815"}, {"ref": "sebasmanco/paddy-disease-competition", "kernel_id": "33134439"}, {"ref": "ltrahul/paddy-image-classification", "kernel_id": "33283419"}, {"ref": "yousefelbaz/paddy-vgg16", "kernel_id": "33099394"}, {"ref": "beyaboubaker/bouraoui-aymen-boubaker-beya", "kernel_id": "33008433"}, {"ref": "belghithzeineb/finallllllly", "kernel_id": "33005941"}, {"ref": "bhargabnath/leaf-disease-detection-vgg16-vgg19", "kernel_id": "34751144"}, {"ref": "abdallahwagih/efficientnetb3-paddy-disease-competitions-98", "kernel_id": "34157161"}, {"ref": "yousefelbaz/paddy-without-overfiting", "kernel_id": "34755663"}, {"ref": "lucaskrawctschuk/paddy-disease-classification", "kernel_id": "34721255"}, {"ref": "christopheralmachi/paddy-image-classification", "kernel_id": "34160393"}, {"ref": "henrikho/opencampus-paddy-pytorch-logistic-regression", "kernel_id": "35745285"}, {"ref": "henrikho/opencampus-paddy-eda", "kernel_id": "35744245"}, {"ref": "saharabdulalim/plantclassifier", "kernel_id": "35171926"}, {"ref": "alaaelmor/paddy-pytorch", "kernel_id": "35983032"}, {"ref": "umesalma/paddy-disease-classification", "kernel_id": "35540443"}, {"ref": "aukharislalala/notebookbfe4974ad6", "kernel_id": "36675450"}, {"ref": "pbuermann/first-steps-road-to-the-top-part-1", "kernel_id": "36183125"}, {"ref": "msapaydin/cse411-october-24-2024", "kernel_id": "37361747"}, {"ref": "macfeel/scaling-up-road-to-the-top-part-3", "kernel_id": "37577335"}, {"ref": "macfeel/first-steps-road-to-the-top-part-1", "kernel_id": "37488597"}, {"ref": "atulsharma19/first-steps-road-to-the-top-part-1", "kernel_id": "37985023"}, {"ref": "ahmedmmmahmoud/multi-target-road-to-the-top-part-4", "kernel_id": "37120368"}, {"ref": "yousefelbaz/paddy-pytorch", "kernel_id": "37782547"}, {"ref": "pariyawan02/paddy-diseases-pytorch-and-computer-vision-resnet", "kernel_id": "37691209"}, {"ref": "rounakkumbhakar/pytorch-resnet34-96-6-accuracy", "kernel_id": "37330401"}, {"ref": "naveenkumarmanokaran/transfer-learning-with-all-models", "kernel_id": "37849813"}, {"ref": "dzakyjaya/percobaan-1", "kernel_id": "38690828"}, {"ref": "henrikho/opencampus-basic-cnn-in-pytorch", "kernel_id": "38201138"}, {"ref": "paulbusch/notebook1ddc4e68a5", "kernel_id": "38127826"}, {"ref": "bread26/percobaan-5", "kernel_id": "38644434"}, {"ref": "nickcandler/first-steps-road-to-the-top-part-1", "kernel_id": "38325982"}, {"ref": "zhongdjgmailcom/first-steps-road-to-the-top-part-1", "kernel_id": "38307913"}, {"ref": "dwetterau/padd-contest-part1", "kernel_id": "39509857"}, {"ref": "dwetterau/paddy-contest-part1", "kernel_id": "39509864"}, {"ref": "tritnguynhunhminh/project-computational-thinking", "kernel_id": "39727606"}, {"ref": "zeyadmedhat/paddy-disease-classification-with-mobilenetv3large", "kernel_id": "40342949"}, {"ref": "viktoranchutin/mini-resnet-from-scratch-with-pytorch", "kernel_id": "40822277"}, {"ref": "lesliechiang/08-first-steps-road-to-the-top-part-1", "kernel_id": "41456601"}, {"ref": "lesliechiang/multi-target-road-to-the-top-part-4-complete", "kernel_id": "41560598"}, {"ref": "ryanpasecky/first-steps-road-to-the-top-part-1", "kernel_id": "41477111"}, {"ref": "vishalbakshi/using-jeremy-howard-s-multi-target-model", "kernel_id": "42258876"}, {"ref": "udaykiran18/paddydiseaseclassificationv2", "kernel_id": "42240431"}, {"ref": "utkarshtomar736/utkarsh-paddydiseaseclassification", "kernel_id": "42494555"}, {"ref": "mohammadahmar/paddy-disease-fastai", "kernel_id": "42907138"}, {"ref": "mohammadahmar/small-models-and-tta", "kernel_id": "42942939"}, {"ref": "yonkotoshiro/classification-with-fastai-beginners-friendly", "kernel_id": "42687600"}, {"ref": "xychenml/fast-ai-course-08-23-23", "kernel_id": "42405854"}, {"ref": "kirtani/first-steps-road-to-the-top-part-1", "kernel_id": "42802945"}, {"ref": "farookkhan/multi-target-road-to-the-top-part-4", "kernel_id": "43708859"}, {"ref": "thomaswarford/multi-target-road-to-the-top-part-4", "kernel_id": "43185109"}, {"ref": "udaykiran18/notebook5bce6f66b4", "kernel_id": "43248120"}, {"ref": "yohannestadiwos/paddy", "kernel_id": "43716375"}, {"ref": "luismspereira/first-steps-road-to-the-top-part-1", "kernel_id": "43491997"}, {"ref": "jjokela/paddy-competition-part-1", "kernel_id": "44170008"}, {"ref": "jjokela/paddy-competition-part-2", "kernel_id": "44224582"}, {"ref": "utkmal/paddy-doctor-comp-pretrained-models-submission", "kernel_id": "44382485"}, {"ref": "bassamadnann/paddy-disease-classification-7e22cf", "kernel_id": "45275071"}, {"ref": "waltuu/paddy-disease-classifier-fast-ai", "kernel_id": "45596813"}, {"ref": "bensonthekkel/060-kaggle-tut1", "kernel_id": "46337276"}, {"ref": "bensonthekkel/060-kaggle-tut", "kernel_id": "46337096"}, {"ref": "zanadar/first-steps-road-to-the-top-part-1", "kernel_id": "47062944"}, {"ref": "rainfd/first-steps-road-to-the-top-part-1", "kernel_id": "47582991"}, {"ref": "lphilong/pervasivecomputing", "kernel_id": "47175613"}, {"ref": "mdzubaerahamed/paddy-disease-classification-logistic-regression", "kernel_id": "48093652"}, {"ref": "mdzubaerahamed/paddy-disease-classification-using-cnn", "kernel_id": "48189304"}, {"ref": "jimjh0/2024-getting-started-house-prices-a1", "kernel_id": "48563365"}, {"ref": "nos4a2/paddy-doctor-paddy-disease-classification", "kernel_id": "49018194"}, {"ref": "haroon669/paddy-disease-classification-with-cnn", "kernel_id": "50759953"}, {"ref": "ditthaponglakagul/first-steps-road-to-the-top-part-1", "kernel_id": "50943942"}, {"ref": "thanidacwn/small-models-road-to-the-top-part-2", "kernel_id": "50967013"}, {"ref": "thanidacwn/first-steps-road-to-the-top-part-1", "kernel_id": "50885670"}, {"ref": "kittison/first-steps-road-to-the-top-part-1", "kernel_id": "50946002"}, {"ref": "kittison/small-models-road-to-the-top-part-2", "kernel_id": "50949172"}, {"ref": "kulisarawiangin/small-models-road-to-the-top-part-2", "kernel_id": "50995674"}, {"ref": "xcufx0qc2os1/rice-disease-classificatio-tf-cnn", "kernel_id": "50099061"}, {"ref": "usm811/paddy-doctrine-of-tensorflow-cnn", "kernel_id": "50080412"}, {"ref": "rizwanrizwannazir/paddy-disease-classification-using-cnn-with-tf", "kernel_id": "50145591"}, {"ref": "sibtainali110/rice-diseaseclassified-using-cnn-with-tensorflow", "kernel_id": "50286757"}, {"ref": "tayyabli/rice-disease-classified-using-cnn-with-tensorf", "kernel_id": "50304801"}, {"ref": "muhammadfurqan0/paddy-disease-classification-complete-notebook", "kernel_id": "50384811"}, {"ref": "taqijaved/paddy-disease-classification-using-tensorflow", "kernel_id": "50504218"}, {"ref": "nartnatta/small-models-road-to-the-top-part-2", "kernel_id": "50986213"}, {"ref": "nartnatta/first-steps-road-to-the-top-part-1", "kernel_id": "50985953"}, {"ref": "jindapornsookying/small-models-road-to-the-top-part-2", "kernel_id": "50967051"}, {"ref": "jindapornsookying/first-steps-road-to-the-top-part-1", "kernel_id": "50966984"}, {"ref": "helloyeew/small-models-road-to-the-top-part-2", "kernel_id": "50965337"}, {"ref": "helloyeew/first-steps-road-to-the-top-part-1", "kernel_id": "50964903"}, {"ref": "saadkhudabux/paddy-disease-classification-using-tensorflow-cnn", "kernel_id": "50288687"}, {"ref": "stichesyt/first-steps-road-to-the-top-part-1", "kernel_id": "51057792"}, {"ref": "stichesyt/small-models-road-to-the-top-part-2", "kernel_id": "51061729"}, {"ref": "napasakornboonkerd/first-steps-road-to-the-top-part-1", "kernel_id": "51072761"}, {"ref": "napasakornboonkerd/small-models-road-to-the-top-part-2", "kernel_id": "51073607"}, {"ref": "korkatta/first-steps-road-to-the-top-part-1", "kernel_id": "51059349"}, {"ref": "korkatta/small-models-road-to-the-top-part-2", "kernel_id": "51061901"}, {"ref": "siravichterm/first-steps-road-to-the-top-part-1", "kernel_id": "51020221"}, {"ref": "siravichterm/small-models-road-to-the-top-part-2", "kernel_id": "51031070"}, {"ref": "jiratchayaphinyodom/first-steps-road-to-the-top-part-1", "kernel_id": "51063780"}, {"ref": "jiratchayaphinyodom/small-models-road-to-the-top-part-2", "kernel_id": "51063795"}, {"ref": "jitpanunopwijit/first-steps-road-to-the-top-part-1", "kernel_id": "51055302"}, {"ref": "jitpanunopwijit/small-models-road-to-the-top-part-2", "kernel_id": "51055696"}, {"ref": "samanfatima7/rice-disease-classification-step-by-step", "kernel_id": "51081536"}, {"ref": "tanabodeeyambangyang/6410545754-small-models-road-to-the-top-part-2", "kernel_id": "51100859"}, {"ref": "tanabodeeyambangyang/6410545754-first-steps-road-to-the-top-part-1", "kernel_id": "51096070"}, {"ref": "chamarakgajaseni/small-models-road-to-the-top-part-2", "kernel_id": "51077483"}, {"ref": "chamarakgajaseni/first-steps-road-to-the-top-part-1", "kernel_id": "51077554"}, {"ref": "abdmental01/paddy-disease-clean-solution", "kernel_id": "51544392"}, {"ref": "mehakiftikhar/paddy-disease-classification-efficientnetb4-98", "kernel_id": "51440827"}, {"ref": "timltagch/small-models-road-to-the-top-part-2", "kernel_id": "51036812"}, {"ref": "timltagch/first-steps-road-to-the-top-part-1", "kernel_id": "51036701"}, {"ref": "siripam/small-models-road-to-the-top-part-2", "kernel_id": "51070801"}, {"ref": "siripam/first-steps-road-to-the-top-part-1", "kernel_id": "51069344"}, {"ref": "kittiporn/6410545401-first-steps-road-to-the-top-part-1", "kernel_id": "51058614"}, {"ref": "kittiporn/6410545401-small-models-road-to-the-top-part-2", "kernel_id": "51060509"}, {"ref": "panupanjanin/small-models-road-to-the-top-part-2", "kernel_id": "51068980"}, {"ref": "panupanjanin/first-steps-road-to-the-top-part-1", "kernel_id": "51067569"}, {"ref": "ppremepreme/first-steps-road-to-the-top-part-1", "kernel_id": "51028448"}, {"ref": "ppremepreme/small-models-road-to-the-top-part-2", "kernel_id": "51030641"}, {"ref": "migueldelillo/multi-target-paddy", "kernel_id": "51938477"}, {"ref": "migueldelillo/paddy-club-de-datos", "kernel_id": "52606630"}, {"ref": "dmitrykonovalov/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "53695433"}, {"ref": "junaid01/paddy-disease-classification-with-cnn-in-tens", "kernel_id": "53655337"}, {"ref": "umairinayat/rice-disease-classification-cnn", "kernel_id": "53359023"}, {"ref": "himaneshv/paddy-doctor-paddy-disease-classification", "kernel_id": "53324668"}, {"ref": "nagendrapai/paddy-disease-classification-efficientnetb4-98", "kernel_id": "53889275"}, {"ref": "pascalnoble/first-steps-road-to-the-top-part-1", "kernel_id": "54509382"}, {"ref": "nigamshitij/exploratory-crop-disease-classifiers", "kernel_id": "54999470"}, {"ref": "declanmckenna/fast-ai-ricepaddy-mps-osx-m1-compatible-notebook", "kernel_id": "55227030"}, {"ref": "clubdedatos/21-04-primer-encuentro", "kernel_id": "55167555"}, {"ref": "chandankawatra/paddy-disease", "kernel_id": "56967850"}, {"ref": "chandarariththo/paddy-testing", "kernel_id": "57319569"}, {"ref": "chandarariththo/first-steps-road-to-the-top-part-1", "kernel_id": "57318370"}, {"ref": "chandarariththo/paddy-classification3", "kernel_id": "57830583"}, {"ref": "chandarariththo/paddy-classification2", "kernel_id": "57721061"}, {"ref": "anjaniimohil/paddy-disease", "kernel_id": "58898967"}, {"ref": "sarincasm/first-steps-road-to-the-top-part-1", "kernel_id": "58408641"}, {"ref": "stanbrown/first-steps-road-to-the-top-part-1", "kernel_id": "58569518"}, {"ref": "koushikphy/paddy-disease-classification-pytorch-resnet", "kernel_id": "59667305"}, {"ref": "toobarahimnia/paddy-disease-classification", "kernel_id": "59126073"}, {"ref": "renierdepone/paddy-fastai", "kernel_id": "61147535"}, {"ref": "fahrulrozii/rice-disease-classification-step-by-step", "kernel_id": "61389130"}, {"ref": "beingraja/paddy-disease-classification", "kernel_id": "62932469"}, {"ref": "keerthana2002/prac7-task3-fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62469281"}, {"ref": "anthonybokor/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62510967"}, {"ref": "misonghua/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62511307"}, {"ref": "arkar1022/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62387747"}, {"ref": "estellewwww/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62385901"}, {"ref": "marukiiroha/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62390948"}, {"ref": "huskydawg/task3-fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62205824"}, {"ref": "alisj3/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62513910"}, {"ref": "chiehyuchenjames/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62525782"}, {"ref": "kwokchunyik/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62205761"}, {"ref": "eithinzarphyo/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62207153"}, {"ref": "tensaiki/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62535099"}, {"ref": "wilsonvall/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62207479"}, {"ref": "guomike/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62386945"}, {"ref": "zhouhanwei/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62331564"}, {"ref": "yufeizhao04/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62519569"}, {"ref": "jkaiteo/prac-7-task-3", "kernel_id": "62203928"}, {"ref": "ralphishere/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62207484"}, {"ref": "zhoujiejcu/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62209679"}, {"ref": "zhoujiejcu/first-steps-road-to-the-top-part-1", "kernel_id": "62209722"}, {"ref": "tin555/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62391402"}, {"ref": "dianabukeikhanova/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62388779"}, {"ref": "tharhtetdennis/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62485244"}, {"ref": "nawmaythuhan/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62383613"}, {"ref": "caoshaungli/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62205192"}, {"ref": "diyuyang0929/fastai-lesson-6b-road-to-the-top-part1-diyuyang", "kernel_id": "62388284"}, {"ref": "baolinhvan/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62204786"}, {"ref": "tuandn97/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62208225"}, {"ref": "jasonelmerborisman/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62207488"}, {"ref": "voctorianora/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62532246"}, {"ref": "kuangziye/prac-7-task3", "kernel_id": "62390951"}, {"ref": "patricksssstar/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62527539"}, {"ref": "zhonghuayufrank/first-steps-road-to-the-top-part-1", "kernel_id": "62392593"}, {"ref": "jiehanli/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62528084"}, {"ref": "lupan71/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62714244"}, {"ref": "zhonghao666/fastai-lesson-6b-road-to-the-top-partjiangzhonghao", "kernel_id": "62388472"}, {"ref": "jiaxuanliu33/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62386357"}, {"ref": "andrejonathan/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62476648"}, {"ref": "lzpxenon/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62462164"}, {"ref": "amyzhongyq/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62190953"}, {"ref": "khantzayyar20/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "62528139"}, {"ref": "jiemolv/fastai-lesson-6b-road-to-the-top-part1-zhangyiwen", "kernel_id": "62388299"}, {"ref": "stware/paddy-01-baseline", "kernel_id": "64717908"}, {"ref": "stware/paddy-02-convnext-resize-tta", "kernel_id": "64738959"}, {"ref": "hasnainkhan0123/rice-disease-classification-cnn", "kernel_id": "64219921"}, {"ref": "sarincasm/small-models-road-to-the-top-part-2", "kernel_id": "64988161"}, {"ref": "kashifshaikhx/scaling-up-road-to-the-top-part-3", "kernel_id": "64582500"}, {"ref": "muhammadrameez242/paddy-disease", "kernel_id": "64780651"}, {"ref": "layeshpadole/paddy-doctor", "kernel_id": "65216924"}, {"ref": "atharvamarkandey/ft-nimriti", "kernel_id": "65157304"}, {"ref": "aldenjenishs/grad-cam", "kernel_id": "65236936"}, {"ref": "mdismielhossenabir/paddy-disease-classification", "kernel_id": "66325579"}, {"ref": "adjeteimartey/multitarget-rice-model-fast-ai-course", "kernel_id": "67924931"}, {"ref": "pkappaka3/paddy-doctor-resnet-v2", "kernel_id": "68604096"}, {"ref": "pkappaka3/paddy-doctor-resnet-v3", "kernel_id": "68604557"}, {"ref": "pkappaka3/paddy-doctor-resnet-v1", "kernel_id": "68537136"}, {"ref": "pkappaka3/paddy-doctor-multimodel-v3", "kernel_id": "68997311"}, {"ref": "pkappaka3/paddy-doctor-multimodel-v3-2", "kernel_id": "69407951"}, {"ref": "xhqproject/paddy-disease-classification-with-98-38-accuracy", "kernel_id": "70328492"}, {"ref": "zqu2004/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "71571874"}, {"ref": "zqu2004/small-models-road-to-the-top-part-2", "kernel_id": "71574240"}, {"ref": "daveramseymusic/copy-first-steps-road-to-the-top-part-1", "kernel_id": "72773648"}, {"ref": "muhamadsyaifulhuda/viskom-mobilenetv2-paddy-disease-classifier", "kernel_id": "72519742"}, {"ref": "bimsarakumarasinghe/crop-disease-classification-with-cnn", "kernel_id": "72016061"}, {"ref": "mrinmoysahamishu/rice-plant-disease-ditection-final", "kernel_id": "73011820"}, {"ref": "oceselspar/instance-one", "kernel_id": "73253133"}, {"ref": "tanaysrinivasa/paddy-doctor", "kernel_id": "73860308"}, {"ref": "muhammaduzairafridi/paddy-rice-disease-classification-using-cnn", "kernel_id": "74928578"}, {"ref": "vincentcatherinot/rice-paddy-first-steps-road-to-the-top-part-1", "kernel_id": "76328409"}, {"ref": "mwajahat/rice-disease-detection-using-cnn", "kernel_id": "77406117"}, {"ref": "astriazhu/cp3501-prac7-task-3", "kernel_id": "78808119"}, {"ref": "muneebullahmuneeb/cnn-cure-finder-rice-disease-detection", "kernel_id": "78677034"}, {"ref": "codinglabsong/paddy-doctor-convnext-and-tta-part-2", "kernel_id": "78946563"}, {"ref": "codinglabsong/paddy-doctor-basline-model-part-1", "kernel_id": "78331251"}, {"ref": "codinglabsong/paddy-doctor-multi-target-model-part-3", "kernel_id": "78630769"}, {"ref": "saisaingkham/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "79155435"}, {"ref": "tomirisdadamurzayeva/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "79110308"}, {"ref": "slinkp/first-steps-road-to-the-top-part-1", "kernel_id": "79301355"}, {"ref": "slinkp/small-models-road-to-the-top-part-2", "kernel_id": "79301482"}, {"ref": "slinkp/multi-target-road-to-the-top-part-4", "kernel_id": "79301672"}, {"ref": "slinkp/scaling-up-road-to-the-top-part-3", "kernel_id": "79301620"}, {"ref": "slinkp/simplified-scaling-up-road-to-the-top-part-3", "kernel_id": "79402311"}, {"ref": "chelorope/first-steps-road-to-the-top-part-1", "kernel_id": "80527283"}, {"ref": "jamesdoan/road-to-the-top-part-2", "kernel_id": "81636047"}, {"ref": "mdfahmid/paddy-disease-clean-solution", "kernel_id": "81934953"}, {"ref": "prathameshbelavagi/btp-ii-image-processing", "kernel_id": "81926327"}, {"ref": "hasnainyaqooob/rice-disease-classification-using-cnn-tensoflow", "kernel_id": "81284426"}, {"ref": "willowcat/first-steps-road-to-the-top-part-1", "kernel_id": "82453359"}, {"ref": "wubaichuan/fastai-course-test", "kernel_id": "83288364"}, {"ref": "hudsonmulcahy/first-steps-road-to-the-top-part-1", "kernel_id": "83007584"}, {"ref": "marcyyl/practical-deep-learning-fastai", "kernel_id": "83241790"}, {"ref": "kimccnguyn/mobilenetv3smallmo", "kernel_id": "83514974"}, {"ref": "kimccnguyn/xception-model", "kernel_id": "83926728"}, {"ref": "muzammilahmad89/rice-disease-detection", "kernel_id": "83468166"}, {"ref": "jonathandysvik/notebooka6ba5854f5", "kernel_id": "83273692"}, {"ref": "isaacjohanziebarth/scaling-up-road-to-the-top-part-3", "kernel_id": "83800582"}, {"ref": "isaacjohanziebarth/first-steps-road-to-the-top-part-1", "kernel_id": "83703392"}, {"ref": "isaacjohanziebarth/elec4630-a3-paddy-disease-classification", "kernel_id": "83929979"}, {"ref": "isaacjohanziebarth/elec4630-a3-t1-v2", "kernel_id": "83949059"}, {"ref": "ambarish/paddy-training-fold-1-effnetb5", "kernel_id": "84492449"}, {"ref": "pjnneves/my-first-steps-paddycomp-part-1", "kernel_id": "85909990"}, {"ref": "pjnneves/multi-target-paddycomp-part-4", "kernel_id": "85967619"}, {"ref": "pjnneves/my-paddycomp-scaling-up-part-3", "kernel_id": "85950052"}, {"ref": "shahdhwanil05/paddy", "kernel_id": "85771487"}, {"ref": "pjnneves/my-paddycomp-multi-target-part-4", "kernel_id": "86000966"}, {"ref": "sumanbera19/rice-disease-classification-with-cnn-eda", "kernel_id": "86321227"}, {"ref": "kimccnguyn/mobilenetv3small", "kernel_id": "86085566"}, {"ref": "oguztoy/paddydisease-efficientnetb3", "kernel_id": "86283127"}, {"ref": "vedantgidra/eff-b1-rmspropppp", "kernel_id": "86650383"}, {"ref": "watanabekosei5/paddy-doctor-watanabe", "kernel_id": "86387586"}, {"ref": "nakaishu/paddy", "kernel_id": "86853325"}, {"ref": "fsxplay/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "87762489"}, {"ref": "tokuasuka/paddy-doctor", "kernel_id": "87337427"}, {"ref": "thousanda35/puddy-doctor", "kernel_id": "87336176"}, {"ref": "vvedantv/paddy-disease-classification", "kernel_id": "87100554"}, {"ref": "matsumotomatsumoto/notebookd67b7ae63b", "kernel_id": "87336385"}, {"ref": "matsumotomatsumoto/notebook20556ee594", "kernel_id": "87502103"}, {"ref": "nakaishu/paddy-new", "kernel_id": "87306732"}, {"ref": "ukj852456/notebookff1a41fd99", "kernel_id": "87837264"}, {"ref": "shahdhwanil05/paddy-doctor-training", "kernel_id": "87103532"}, {"ref": "kishimanto/prac-7-task-3", "kernel_id": "87373493"}, {"ref": "nirrmalgaud/plant-disease-detection-knowledge-distillation", "kernel_id": "87395609"}, {"ref": "shail31/mobilenet-2", "kernel_id": "87193328"}, {"ref": "salvingeorgeau/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "88117480"}, {"ref": "htrnthi/data-deep", "kernel_id": "89896480"}, {"ref": "anayajain0101/efficientnet-rice-leaf", "kernel_id": "89664471"}, {"ref": "anayajain0101/densenet-rice-leaf", "kernel_id": "89579638"}, {"ref": "suvamb/paddy-disease-classification", "kernel_id": "91166855"}, {"ref": "suvamb/paddydiseaseclassification-pytorch", "kernel_id": "91173702"}, {"ref": "suvamb/tiny-grad-paddy-disease", "kernel_id": "91228544"}, {"ref": "shrini01/first-steps-road-to-the-top-part-1", "kernel_id": "91163045"}, {"ref": "ngivitgccychui/image-based-rice-leaf-disease-classification", "kernel_id": "91298568"}, {"ref": "ngivitgccychui/notebook9d845aa585", "kernel_id": "91667384"}, {"ref": "ngivitgccychui/image-based-rice-leaf-disease-classification-tk1", "kernel_id": "91501619"}, {"ref": "mymaidieu/rice-leaf-disease-797ef4", "kernel_id": "91294939"}, {"ref": "fzngagan/small-models-road-to-the-top-part-2-latest-env", "kernel_id": "92835176"}, {"ref": "alikaram/notebook945dd38cd1", "kernel_id": "92293825"}, {"ref": "trnhdnghoan/submit-paddy-transformer", "kernel_id": "93397172"}, {"ref": "trnhvu2/group21-dl", "kernel_id": "93678441"}, {"ref": "pjnneves/my-paddycomp-first-steps-part-1", "kernel_id": "94968874"}, {"ref": "hamoni/22d6-7h-30peocj", "kernel_id": "94118197"}, {"ref": "gamerahad/paddy-disease-prediction-using-cnn-tensorflow", "kernel_id": "95486885"}, {"ref": "durgagundeti/plant-disease-detection", "kernel_id": "97055864"}, {"ref": "haikalgustiansyah/paddy-classification", "kernel_id": "105317300"}, {"ref": "deepankerkumeria/first-steps-road-to-the-top-part-1", "kernel_id": "105650093"}, {"ref": "deepankerkumeria/small-models-road-to-the-top-part-2", "kernel_id": "105658949"}, {"ref": "deepankerkumeria/multi-target-road-to-the-top-part-4", "kernel_id": "105730491"}, {"ref": "deepankerkumeria/works-scaling-up-road-to-the-top-part-3", "kernel_id": "105732974"}, {"ref": "syedwaquarraza/small-models-road-to-the-top-part-2", "kernel_id": "106319145"}, {"ref": "jenysadadia12/multi-target-card-classifier", "kernel_id": "107682661"}, {"ref": "hsmtta/260206-paddy-doctor-baseline", "kernel_id": "108752578"}, {"ref": "tatsuya2kawakami/260206-paddy-doctor-baseline", "kernel_id": "108803474"}, {"ref": "huyngnhat/notebookd9f5b32a61", "kernel_id": "111138760"}, {"ref": "guokimi/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "113116419"}, {"ref": "ramesh10088871/efficientnet-snic-fusion-based-approach", "kernel_id": "114801220"}, {"ref": "stefanrothermel/first-steps-the-2026-edition-part-1", "kernel_id": "114459256"}, {"ref": "rameshchoudhary2208/gat-standalone-baseline", "kernel_id": "114260084"}, {"ref": "rameshchoudhary2208/transfer-learning-cnn", "kernel_id": "114234008"}, {"ref": "rameshchoudhary2208/gat-standalone-improved-model-with-13-d", "kernel_id": "114269134"}, {"ref": "maddy2501/model-2", "kernel_id": "114481640"}, {"ref": "suchitg04/first-steps-road-to-the-top-part-1-c271a8", "kernel_id": "115230111"}, {"ref": "ramesh10088871/teacher-student-model", "kernel_id": "115609594"}, {"ref": "stefanrothermel/small-models-the-2026-edition-part-2", "kernel_id": "117604275"}, {"ref": "mhamdann/paddy-disease", "kernel_id": "119808974"}, {"ref": "fatemakhatun41/update-1", "kernel_id": "119852924"}, {"ref": "fatemakhatun41/paddy-leaf-diseases-defence", "kernel_id": "119831904"}, {"ref": "amulyajm1/notebook01", "kernel_id": "122004563"}, {"ref": "anayajain0101/9jul-densenet-retraining", "kernel_id": "126490967"}, {"ref": "brockallen/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "126776042"}, {"ref": "blexopolis/dense-net-attempt", "kernel_id": "128769838"}, {"ref": "blexopolis/dense-net-lab", "kernel_id": "128896238"}, {"ref": "hustle256/paddy-road-to-the-top-lesson-6b", "kernel_id": "128688561"}, {"ref": "taphuclam/multi-target-road-to-the-top-part-4", "kernel_id": "128685841"}, {"ref": "younghoocheon/first-steps-road-to-the-top-part-1", "kernel_id": "128086984"}, {"ref": "floralsu/first-steps-road-to-the-top-part-1-1d4b2f", "kernel_id": "128079333"}, {"ref": "bhonemyatkyawthu/first-steps-road-to-the-top-part-1", "kernel_id": "128076279"}, {"ref": "prabhshersingh/fastai-lesson-6b-road-to-the-top-part1", "kernel_id": "128020122"}, {"ref": "mercury234/week-8-part-2", "kernel_id": "128079890"}, {"ref": "mercury234/week-8-part-4", "kernel_id": "128082791"}, {"ref": "mercury234/week-8-part-3", "kernel_id": "128084287"}, {"ref": "ziyucao421/first-steps-road-to-the-top-part-1", "kernel_id": "128079719"}, {"ref": "ziyucao421/week-8-part-2", "kernel_id": "128098602"}, {"ref": "chiranjeeb2003/first-steps-road-to-the-top-part-1", "kernel_id": "129523172"}, {"ref": "chiranjeeb2003/small-models-road-to-the-top-part-2", "kernel_id": "129577269"}, {"ref": "chiranjeeb2003/scaling-up-road-to-the-top-part-3", "kernel_id": "129577359"}, {"ref": "chiranjeeb2003/multi-target-road-to-the-top-part-4", "kernel_id": "129577437"}, {"ref": "qucmnhh/densenet-manh", "kernel_id": "129070413"}, {"ref": "dang3215/exploratory-data-analysis", "kernel_id": "129127941"}, {"ref": "dang3215/mobile-net", "kernel_id": "129116101"}, {"ref": "dang3215/mobilnet-nguyen-hai-dang", "kernel_id": "129069809"}, {"ref": "nguynthckhu/cnn-02", "kernel_id": "129116362"}, {"ref": "nguynhphan/paddy-disease-classification", "kernel_id": "134575396"}]}
{"competition_id": "35326", "kernels": []}
{"competition_id": "35327", "kernels": []}
{"competition_id": "35332", "kernels": [{"ref": "inversion/amex-competition-metric-python", "kernel_id": "26184636"}, {"ref": "akashparmar2404/used-car-analysis", "kernel_id": "26744671"}, {"ref": "dynamic24/h2o-ai-automl-explain-results", "kernel_id": "27443777"}, {"ref": "alexryzhkov/amex-lightautoml-starter", "kernel_id": "27502740"}, {"ref": "sudalairajkumar/simple-explroration-notebook-amex-default", "kernel_id": "27390196"}, {"ref": "radek1/xgboost-starter-with-nvtabular-0-794", "kernel_id": "27817710"}, {"ref": "jiweiliu/fast-eda-using-rapids-cudf", "kernel_id": "27378108"}, {"ref": "jiweiliu/amex-catboost-rounding-trick", "kernel_id": "27513582"}, {"ref": "jiweiliu/rapids-cudf-feature-engineering-xgb", "kernel_id": "27689849"}, {"ref": "rohanrao/amex-competition-metric-implementations", "kernel_id": "27499417"}, {"ref": "aninda/first-submission-using-catboost", "kernel_id": "27379648"}, {"ref": "aninda/creating-smaller-train-test-data", "kernel_id": "27366313"}, {"ref": "pavelvod/amex-eda-revealing-time-patterns-of-features", "kernel_id": "27982943"}, {"ref": "jamesmcguigan/amex-dataprep-eda", "kernel_id": "27603436"}, {"ref": "amineteffal/group-split-data-by-customer", "kernel_id": "27897141"}, {"ref": "datajmcn/reviewing-the-default-rate", "kernel_id": "27500884"}, {"ref": "datajmcn/baseline-model-xgboost", "kernel_id": "27529920"}, {"ref": "datajmcn/converting-csv-to-parquet", "kernel_id": "27422091"}, {"ref": "mavillan/amex-preproc-features", "kernel_id": "27712147"}, {"ref": "mavillan/amex-lightgbm-baseline-1", "kernel_id": "27637456"}, {"ref": "stautxie/amex-default-prediction-eda", "kernel_id": "27781177"}, {"ref": "stautxie/python-validation-on-amex-metrics-implemented-in-r", "kernel_id": "27809926"}, {"ref": "stautxie/amex-metric-implementation-in-r", "kernel_id": "27820929"}, {"ref": "btbpanda/fast-metric-and-py-boost-baseline", "kernel_id": "27502596"}, {"ref": "mayukh18/amex-cossquareformer-starter", "kernel_id": "27886403"}, {"ref": "raddar/learning-to-rank-time-related-features", "kernel_id": "27953618"}, {"ref": "raddar/the-data-has-random-uniform-noise-added", "kernel_id": "27449265"}, {"ref": "nishimoto/amex-1st-lgb", "kernel_id": "27393640"}, {"ref": "radema/transform-data-sources", "kernel_id": "27872814"}, {"ref": "cv13j0/amex-aggregated-dataset-construction", "kernel_id": "27482784"}, {"ref": "cv13j0/amex-default-prediction-keras-starter", "kernel_id": "27415515"}, {"ref": "robikscube/amex-defaulters-delight-eda-twitch-stream", "kernel_id": "27412767"}, {"ref": "guillermolissa/amex-lce-quickstart", "kernel_id": "27429343"}, {"ref": "guillermolissa/amex-eda-datatable", "kernel_id": "27411149"}, {"ref": "guillermolissa/amex-loaddataset2pyspark", "kernel_id": "27376497"}, {"ref": "dkraynak/amex-test-dummy-submission", "kernel_id": "27732571"}, {"ref": "kingychiu/amex-woe-baseline-with-id-encoded-fp16-dataset", "kernel_id": "27386106"}, {"ref": "kingychiu/catboost-with-id-encoded-fp16-dataset", "kernel_id": "27387810"}, {"ref": "taran8727/exploration-time-periods-and-credit-defaults", "kernel_id": "27439672"}, {"ref": "aliphya/who-would-default-next", "kernel_id": "27452131"}, {"ref": "eduus710/amex-extremely-simple-xgboost-baseline", "kernel_id": "27737759"}, {"ref": "narendra/amex-xgboost-baseline", "kernel_id": "27979624"}, {"ref": "narendra/amex-high-level-analysis", "kernel_id": "27896679"}, {"ref": "krishm/amex-eda-iso-forest-down-sampling-pca", "kernel_id": "27469706"}, {"ref": "konohayui/amex-topological-time-series-analysis", "kernel_id": "27884790"}, {"ref": "thebratattack/amex-ensemble-prediction-model", "kernel_id": "27448453"}, {"ref": "datark1/american-express-eda", "kernel_id": "27435694"}, {"ref": "capslock/amex-export-to-parquet-with-apache-spark", "kernel_id": "27509436"}, {"ref": "igjit1/sample-amex-data-with-dtplyr", "kernel_id": "27420793"}, {"ref": "igjit1/r-package-for-amex-competition-metric", "kernel_id": "27834524"}, {"ref": "canonicalized/amex-v2", "kernel_id": "27799930"}, {"ref": "abhianalytic/amex-read-full-data-without-any-transformation", "kernel_id": "27875365"}, {"ref": "craving1030/gpu-amex-keras-with-simple-selected-vars", "kernel_id": "27864401"}, {"ref": "lvwerra/amex-metric-in-evaluate", "kernel_id": "27795831"}, {"ref": "ihelon/default-prediction-eda-and-modeling", "kernel_id": "27367924"}, {"ref": "docxian/amex-default-exploration-of-subset-r", "kernel_id": "27369374"}, {"ref": "docxian/amex-default-first-steps-in-r-full-data", "kernel_id": "27366957"}, {"ref": "geno87/amex-adversarial-validation", "kernel_id": "27476350"}, {"ref": "shivamanhar/american-express-keras", "kernel_id": "27930539"}, {"ref": "vijayendrad/supervised-learning-with-amex-data", "kernel_id": "27637036"}, {"ref": "vijayendrad/amex-predictions-base-model", "kernel_id": "27760616"}, {"ref": "tawejssh/american-express-default-prediction", "kernel_id": "27448149"}, {"ref": "karandora/xgboost-optuna-baseline", "kernel_id": "27406719"}, {"ref": "awaldeep/first-look-eda", "kernel_id": "27469179"}, {"ref": "revathiprakash/amex-eda-beginner", "kernel_id": "27552474"}, {"ref": "basu369victor/amex-lightgbm-smote-quickstart", "kernel_id": "27453723"}, {"ref": "cdeotte/xgboost-starter-0-793", "kernel_id": "27578257"}, {"ref": "cdeotte/tensorflow-transformer-0-790", "kernel_id": "27545293"}, {"ref": "cdeotte/time-series-eda", "kernel_id": "27460560"}, {"ref": "cdeotte/tensorflow-gru-starter-0-790", "kernel_id": "27459520"}, {"ref": "huseyincot/amex-catboost-0-793", "kernel_id": "27436593"}, {"ref": "nimamanaf/read-customer-data-using-their-unique-ids", "kernel_id": "27369921"}, {"ref": "beezus666/ensemble-weighted-average", "kernel_id": "27544288"}, {"ref": "bkaggler/amex-reduce-data-size-to-half", "kernel_id": "27841115"}, {"ref": "ishaan45/amex-lgbm-feature-engineering", "kernel_id": "27656049"}, {"ref": "ishaan45/reduce-file-size-csv-to-parquet", "kernel_id": "27642318"}, {"ref": "zakopur0/adversarial-validation-private-vs-public", "kernel_id": "27773416"}, {"ref": "zakopur0/adversarial-validation-train-vs-test", "kernel_id": "27943359"}, {"ref": "gopidurgaprasad/amex-credit-score-model", "kernel_id": "27466804"}, {"ref": "slashie/amex-data-eng-01", "kernel_id": "27618957"}, {"ref": "kdafke123141/feature-engineering-using-last-3-month", "kernel_id": "27836972"}, {"ref": "what5up/split-raddar-data-into-chunks", "kernel_id": "27645281"}, {"ref": "bgmello/best-correlated-features-with-low-correlation", "kernel_id": "27391882"}, {"ref": "bgmello/the-platinum-solution", "kernel_id": "27372912"}, {"ref": "susnato/amex-hyperparameter-tuning-with-weights-biases", "kernel_id": "27878959"}, {"ref": "susnato/amex-data-preprocesing-feature-engineering", "kernel_id": "27724159"}, {"ref": "susnato/amex-xgboost-0-790", "kernel_id": "27725579"}, {"ref": "medali1992/amex-data-engineering", "kernel_id": "27655682"}, {"ref": "medali1992/amex-nnet-entity-embedding-train", "kernel_id": "27709271"}, {"ref": "medali1992/amex-tabnetclassifier-feature-eng-0-791", "kernel_id": "27911430"}, {"ref": "jazivxt/expressions-of-gluttony", "kernel_id": "27581893"}, {"ref": "jaeehooon/test-sample-submission-for-amex-default-prediction", "kernel_id": "27538328"}, {"ref": "develuse/amex-easy-lgbm-features-bitch", "kernel_id": "27437577"}, {"ref": "gorokhovnik/loading-and-saving-full-data-with-reduce-memory", "kernel_id": "27457428"}, {"ref": "gorokhovnik/the-data-has-random-uniform-noise-added-or-not", "kernel_id": "27461768"}, {"ref": "imeintanis/playground-2023-01-lofo-feature-importance", "kernel_id": "27497423"}, {"ref": "voix97/amex-pytorch-nn-training", "kernel_id": "27603586"}, {"ref": "voix97/amex-pytorch-gru-training", "kernel_id": "27654199"}, {"ref": "voix97/amex-pytorch-logistic-regression-x-300", "kernel_id": "27695968"}, {"ref": "maiernator/quick-overview", "kernel_id": "27373681"}, {"ref": "sravanneeli/inference-using-weighted-ensemble-model-autogluon", "kernel_id": "27632440"}, {"ref": "sravanneeli/stacked-models-using-autogluon", "kernel_id": "27594545"}, {"ref": "sravanneeli/train-file-pckl-creation-from-parquet-files", "kernel_id": "27533905"}, {"ref": "sravanneeli/test-file-pckl-creation-from-parquet-files", "kernel_id": "27556960"}, {"ref": "sravanneeli/pycaret-lightgbm", "kernel_id": "27563159"}, {"ref": "sravanneeli/convert-train-and-test-multiple-parquet-files", "kernel_id": "27526489"}, {"ref": "sravanneeli/convert-train-data-to-pckl-file", "kernel_id": "27495600"}, {"ref": "davidhammond/convert-amex-data-to-feather", "kernel_id": "27915582"}, {"ref": "mvvppp/explorory-data-analysis-on-huge-data-with-dask", "kernel_id": "27369862"}, {"ref": "naimi69/kaggle-american-express", "kernel_id": "27979238"}, {"ref": "deltaechov/amex-default-reducing-dataset-size", "kernel_id": "27964923"}, {"ref": "mpwolke/normalized-gini-amex-platinum", "kernel_id": "27362241"}, {"ref": "onodera1/amex-eda-comparison-of-training-and-test-data", "kernel_id": "27960065"}, {"ref": "balabaskar/memory-reduction-using-pandas", "kernel_id": "27365547"}, {"ref": "naiborhujosua/eda-modelling-evaluation", "kernel_id": "27940651"}, {"ref": "hinepo/public-x-private-plots", "kernel_id": "27968797"}, {"ref": "coolsidd14/weighted-average-of-ensemble", "kernel_id": "27681423"}, {"ref": "seyram19/handle-large-dataset-with-pyspark", "kernel_id": "27979122"}, {"ref": "karthisena/american-express-lightweight", "kernel_id": "27502323"}, {"ref": "paulojunqueira/brief-analysis-of-dataset-variables-amex", "kernel_id": "27969984"}, {"ref": "songseungwon/de-identified-data-analysis-tutorial-ch-01", "kernel_id": "27616046"}, {"ref": "lucasmorin/amex-woe-baseline", "kernel_id": "27367939"}, {"ref": "lucasmorin/amex-feature-engineering-base", "kernel_id": "27381977"}, {"ref": "lucasmorin/amex-lgbm-features-eng", "kernel_id": "27389424"}, {"ref": "lucasmorin/amex-umap-hdbscan-data-exploration", "kernel_id": "27432560"}, {"ref": "tensorchoko/american-express-eda", "kernel_id": "27649137"}, {"ref": "indynavarrovidal/eda-amex-default-prediction", "kernel_id": "27735594"}, {"ref": "samyukthamobile/spark-train-data-loading", "kernel_id": "27387584"}, {"ref": "rakkaalhazimi/ml-with-pyspark", "kernel_id": "27786544"}, {"ref": "rakkaalhazimi/export-large-dataset-to-spark", "kernel_id": "27758322"}, {"ref": "gauri1996/amex-default-creditcard-prediction", "kernel_id": "27602070"}, {"ref": "parthavjoshi/27-05-amex-v1", "kernel_id": "27418484"}, {"ref": "robertturro/amex-data-cleaning-train", "kernel_id": "27913310"}, {"ref": "rodrigostallsikora/1st-attempt-at-american-express-challenge", "kernel_id": "27944340"}, {"ref": "guptadikshant/amex-default-prediction-modelling", "kernel_id": "27645430"}, {"ref": "guptadikshant/amex-default-prediction-basic-eda", "kernel_id": "27380058"}, {"ref": "lonnieqin/american-express-create-training-pickle-file", "kernel_id": "27399605"}, {"ref": "lonnieqin/american-express-prediction-with-tensorflow", "kernel_id": "27405172"}, {"ref": "datafan07/amex-where-to-begin", "kernel_id": "27396383"}, {"ref": "celiker/lb-split-downsampling-trick-amex", "kernel_id": "27495748"}, {"ref": "deepakkaura/welcome-to-the-banking-sector", "kernel_id": "27783593"}, {"ref": "ransakaravihara/how-features-vary-from-statement-dates", "kernel_id": "27888832"}, {"ref": "carlosasdesouza/estudo-dask-leitura-de-dataframes", "kernel_id": "27919564"}, {"ref": "carlosasdesouza/eda-carlos-amex", "kernel_id": "27966874"}, {"ref": "nataliasz/incremental-pca-pandas-read-csv-with-chunks", "kernel_id": "27938964"}, {"ref": "lluis94/loading-sample-data", "kernel_id": "27371715"}, {"ref": "atulsharma287/amex-reduce-the-file-size-diy", "kernel_id": "27561792"}, {"ref": "mikhaildonskoy/looking-for-risky-features-in-train-data", "kernel_id": "27787411"}, {"ref": "mikhaildonskoy/risky-features-in-aggregated-data", "kernel_id": "27904059"}, {"ref": "mikhaildonskoy/looking-for-risky-features-in-first-rows", "kernel_id": "27847045"}, {"ref": "mikhaildonskoy/noise-analysis-and-noise-classification-v2", "kernel_id": "27573239"}, {"ref": "mikhaildonskoy/eda-for-beginners-correlations-and-plots", "kernel_id": "27427341"}, {"ref": "jirkaborovec/amex-eda-baseline-lightning-flash", "kernel_id": "27628922"}, {"ref": "masaharusuzuki/notebook2f950c96a3", "kernel_id": "27897762"}, {"ref": "masaharusuzuki/amex-read-full-data-without-any-transformation", "kernel_id": "27934945"}, {"ref": "masaharusuzuki/amex-reduce-data-size-to-half", "kernel_id": "27962331"}, {"ref": "gavisr/getting-started-reading-large-datasets", "kernel_id": "27696204"}, {"ref": "ujjwalbaranwal/amex-model", "kernel_id": "27514856"}, {"ref": "munumbutt/simple-lgbm-starter", "kernel_id": "27388062"}, {"ref": "kellibelcher/amex-default-prediction-eda-lgbm-baseline", "kernel_id": "27580883"}, {"ref": "aryanml007/amex-default-prediction-eda-prediction", "kernel_id": "27514339"}, {"ref": "venkatkumar001/lets-try-fast-ai-amex", "kernel_id": "27442765"}, {"ref": "pathikghugare/american-express-eda", "kernel_id": "27811152"}, {"ref": "sietseschrder/xgboost-starter-0-793", "kernel_id": "27825577"}, {"ref": "hunsoojung/amex-default-prediction", "kernel_id": "27706142"}, {"ref": "aaron874/amex-competition-eda-and-model-selections", "kernel_id": "27993198"}, {"ref": "kgxiao/null-feature-importances", "kernel_id": "27978922"}, {"ref": "foolishboi/amex-simple-eda", "kernel_id": "27422356"}, {"ref": "yangkenwu/ml-xgboost-classification-amex-default-prediction", "kernel_id": "27885868"}, {"ref": "yshiml/amex-simple-lgbm-baseline", "kernel_id": "27382630"}, {"ref": "himanshutripathi/loading-big-data", "kernel_id": "27379970"}, {"ref": "bhavikardeshna/hyperparameter-optimization-optuna", "kernel_id": "27997416"}, {"ref": "bhavikardeshna/lightgbm-ensemble-learning", "kernel_id": "27723792"}, {"ref": "bhavikardeshna/pca-svm-default-predictions", "kernel_id": "27751131"}, {"ref": "bhavikardeshna/xgboost-ensemble-learning", "kernel_id": "27768168"}, {"ref": "bhavikardeshna/catboost-gradient-boosting-ensemble-learning", "kernel_id": "27825718"}, {"ref": "gcmadhan/feature-mapping", "kernel_id": "27386735"}, {"ref": "ritzig/feature-partition-ensemble-model", "kernel_id": "27616362"}, {"ref": "baycelik/american-express-competition-script", "kernel_id": "27873820"}, {"ref": "roberthatch/amex-s2-feature-engg", "kernel_id": "27709084"}, {"ref": "odins0n/amex-default-prediction-detailed-eda", "kernel_id": "27370003"}, {"ref": "odins0n/load-parquet-files-with-low-memory", "kernel_id": "27369168"}, {"ref": "ricaxavier/competition-amex-prediction-eda", "kernel_id": "27569724"}, {"ref": "azazurrehmanbutt/client-default-prediction-eda-ml-modelling", "kernel_id": "27480468"}, {"ref": "apoorvbhardwaj/amex-early-ensemble", "kernel_id": "27484212"}, {"ref": "apoorvbhardwaj/amex-hyperparams-optimisation-using-optuna", "kernel_id": "27531208"}, {"ref": "azminetoushikwasi/all-imputation-techniques-with-pros-and-cons", "kernel_id": "27588167"}, {"ref": "azminetoushikwasi/mastering-bias-variance-tradeoff", "kernel_id": "27312064"}, {"ref": "leejunseok97/amex-prediction-deepfm", "kernel_id": "27843537"}, {"ref": "leejunseok97/amex-default-eda-prediction", "kernel_id": "27754730"}, {"ref": "kayalvizhim/amex-prediction", "kernel_id": "27737007"}, {"ref": "ambrosm/amex-keras-quickstart-2-inference", "kernel_id": "27384599"}, {"ref": "ambrosm/amex-eda-which-makes-sense", "kernel_id": "27370248"}, {"ref": "ambrosm/amex-keras-quickstart-1-training", "kernel_id": "27378370"}, {"ref": "ambrosm/amex-lightgbm-quickstart", "kernel_id": "27397033"}, {"ref": "annettazheng/eda-rf-xgb-lgbm-prediction", "kernel_id": "27580028"}, {"ref": "rprkh15/amex-eda-rapids", "kernel_id": "27723548"}, {"ref": "nikhilsharma24/r-parquet-data-table-logit", "kernel_id": "27605268"}, {"ref": "nikhilsharma24/custom-metric-r", "kernel_id": "27416040"}, {"ref": "nikhilsharma24/time-series-visualize-ggplot", "kernel_id": "27751943"}, {"ref": "ahedjneed/handling-and-visualizing-tabular-data", "kernel_id": "27397368"}, {"ref": "mohammadrahmati/from-46-8-gb-to-6-34-gb-eat-pickle-save-space", "kernel_id": "27445942"}, {"ref": "mohammadrahmati/understanding-the-evaluation-metric-g-and-d", "kernel_id": "27424104"}, {"ref": "mohammadrahmati/associations-and-correlations-useful-for-fe", "kernel_id": "27558559"}, {"ref": "tgwstr/baselinelgbm001", "kernel_id": "27935594"}, {"ref": "krist0phersmith/how-to-make-a-submission", "kernel_id": "27523498"}, {"ref": "imvision12/loading-dataset-using-datatable", "kernel_id": "27364692"}, {"ref": "mcc117/american-express-default-prediction", "kernel_id": "27572725"}, {"ref": "mcc117/notebook5ef8a6736f", "kernel_id": "27640043"}, {"ref": "harshghadiya/amex-lgbm-prediction-boosting", "kernel_id": "27779841"}, {"ref": "abdulaminafridi/amex-simple-lgbm-baseline-0ecbae", "kernel_id": "27447481"}, {"ref": "rriceice/amex-eda-which-makes-sense", "kernel_id": "27528164"}, {"ref": "rriceice/tensorflow-gru-starter-0-790", "kernel_id": "27528211"}, {"ref": "zyaibi/dataseteda", "kernel_id": "27591143"}, {"ref": "ahmedali058/amex-express-default-predection", "kernel_id": "27971629"}, {"ref": "werus23/amex-lightgbm-eda", "kernel_id": "27412653"}, {"ref": "werus23/amex-keras-with-tpu", "kernel_id": "27586792"}, {"ref": "werus23/amex-feature-engineering", "kernel_id": "27639537"}, {"ref": "swapanroy/nasa-machine-learning", "kernel_id": "28258160"}, {"ref": "danofer/amex-data-preprocesing-feature-engineering", "kernel_id": "28144966"}, {"ref": "valteresj/create-1k-features-with-datatable", "kernel_id": "28929665"}, {"ref": "valteresj/bivariate-analysis-of-features", "kernel_id": "28986314"}, {"ref": "michaelerasmus/sample-data-based-on-customer-id-using-pandas", "kernel_id": "28553898"}, {"ref": "pavelvod/amex-eda-even-more-insane-time-patterns-revealed", "kernel_id": "28036879"}, {"ref": "jsmithperera/amex-lightgbm", "kernel_id": "28489732"}, {"ref": "jsmithperera/amex-lightgbm-f-gen-v-2", "kernel_id": "28969687"}, {"ref": "jsmithperera/amex-lightgbm-f-gen", "kernel_id": "28830312"}, {"ref": "amineteffal/explore-balance-columns", "kernel_id": "28379297"}, {"ref": "amineteffal/read-all-rows-of-balance-columns", "kernel_id": "28401917"}, {"ref": "amineteffal/read-all-rows-but-just-a-subset-of-columns", "kernel_id": "28314231"}, {"ref": "datajmcn/xgboost-explainer-testing-model-studio", "kernel_id": "28067547"}, {"ref": "datajmcn/amex-eda-time-series-transformations", "kernel_id": "28038527"}, {"ref": "stautxie/amex-default-prediction-model-in-r-part-2", "kernel_id": "28069068"}, {"ref": "stautxie/amex-default-prediction-baseline-model-in-r-par", "kernel_id": "28054037"}, {"ref": "stautxie/lightgbm-dart-boosting-save-best-model", "kernel_id": "28291955"}, {"ref": "raddar/understanding-na-values-in-amex-competition", "kernel_id": "28041815"}, {"ref": "raddar/deanonymized-days-overdue-feat-amex", "kernel_id": "28149009"}, {"ref": "raddar/redundant-features-amex", "kernel_id": "28928779"}, {"ref": "raddar/can-we-make-anything-out-of-s-2", "kernel_id": "28808755"}, {"ref": "rafanikitas/amex-pipeline-quick-start", "kernel_id": "28409645"}, {"ref": "illidan7/amex-permutation-feature-importance", "kernel_id": "28570924"}, {"ref": "illidan7/amex-basic-feature-engineering-1500-features", "kernel_id": "28647124"}, {"ref": "ripcurl/ml-starter", "kernel_id": "28343817"}, {"ref": "hwy0220/amex-eda-balance-variables", "kernel_id": "28012670"}, {"ref": "finlay/amex-correlation-and-time-series-eda", "kernel_id": "28584093"}, {"ref": "finlay/amex-lightgbm-parameter-search", "kernel_id": "28591153"}, {"ref": "finlay/amex-lightgbm-xgboost-catboost", "kernel_id": "28595179"}, {"ref": "finlay/faster-lgbm-dart-with-tunned-parameter", "kernel_id": "28272336"}, {"ref": "abee82/amex-using-fast-ai", "kernel_id": "28136711"}, {"ref": "dkraynak/amex-basic-logit-with-feather-data", "kernel_id": "28217787"}, {"ref": "dkraynak/which-features-with-lasso", "kernel_id": "28368458"}, {"ref": "dkraynak/which-features-with-lasso-update", "kernel_id": "28552558"}, {"ref": "dkraynak/amex-ftr-to-rds-train", "kernel_id": "28832774"}, {"ref": "mpware/amex-categorials", "kernel_id": "28829058"}, {"ref": "lhagiimn/amex-neural-network-inference", "kernel_id": "28779487"}, {"ref": "pham0030/amex-outofmemory-fe-with-lgb-sequence-part1-test", "kernel_id": "28562228"}, {"ref": "pham0030/amex-default-prediction-xgb-models", "kernel_id": "28558779"}, {"ref": "pham0030/amex-default-prediction-agg-data-preprocess", "kernel_id": "28527687"}, {"ref": "pham0030/amex-default-prediction-lgbm-models", "kernel_id": "28486393"}, {"ref": "pham0030/ibm-coursera-clf-final-amex-default-prediction", "kernel_id": "28269387"}, {"ref": "pham0030/amex-outofmemory-fe-with-lgb-sequence-part2-train", "kernel_id": "28674231"}, {"ref": "pham0030/amex-outofmemory-fe-with-lgb-sequence-part3-final", "kernel_id": "28688489"}, {"ref": "kmmohsin/lgbm-with-optuna-for-tuning-on-c-gpu-lb-0-796", "kernel_id": "28755450"}, {"ref": "maheshak04/amex-understand-categorical-variables", "kernel_id": "28568089"}, {"ref": "yekenot/catboost-as-feature-selector", "kernel_id": "28930262"}, {"ref": "abdul0807/reading-the-train-and-test-data-in-45-seconds", "kernel_id": "28164435"}, {"ref": "narendra/understanding-features-with-quantiles", "kernel_id": "28098565"}, {"ref": "narendra/timeseries-analysis-with-quantiles", "kernel_id": "28093308"}, {"ref": "narendra/amex-gru-train", "kernel_id": "28205364"}, {"ref": "narendra/amex-gru-rank-train", "kernel_id": "28280119"}, {"ref": "narendra/timeseries-analysis-with-quantiles-local-avg", "kernel_id": "28441051"}, {"ref": "narendra/amex-conv-gru-train", "kernel_id": "28334834"}, {"ref": "benjibb/hist-mining-concept-oriented-shared-information", "kernel_id": "28771196"}, {"ref": "rosicky1234/simple-logistic-regression", "kernel_id": "28196619"}, {"ref": "meli19/person-correlation-coeficient-of-top-3-notebooks", "kernel_id": "28954167"}, {"ref": "translucen7/amex-deep-dive-time-series-eda", "kernel_id": "28779425"}, {"ref": "igjit1/fast-and-less-memory-data-processing-with-duckdb", "kernel_id": "28732465"}, {"ref": "igjit1/memory-reduction-feature-engineering-with-dplyr", "kernel_id": "28350112"}, {"ref": "igjit1/amex-basic-logit-with-feather-data", "kernel_id": "28495453"}, {"ref": "canonicalized/amex-v2-feature-files", "kernel_id": "28760982"}, {"ref": "microize/eda-amex-reading-data", "kernel_id": "28541209"}, {"ref": "ragnar123/amex-lgbm-dart-cv-0-7977", "kernel_id": "28572947"}, {"ref": "ragnar123/amex-lgbm-dart-cv-0-7963", "kernel_id": "28077463"}, {"ref": "hiba007/using-lightgbm-0-792", "kernel_id": "28536800"}, {"ref": "vijayendrad/base-model-amex", "kernel_id": "28668014"}, {"ref": "vijayendrad/model-5-amex-feature-importances", "kernel_id": "28915332"}, {"ref": "awaldeep/02-starter-xgboost-submission", "kernel_id": "28101972"}, {"ref": "awaldeep/01-starter-xgboost-implementation-0-79-train-acc", "kernel_id": "28094249"}, {"ref": "awaldeep/submission-for-xgboost-optuna-baseline", "kernel_id": "28231026"}, {"ref": "awaldeep/xgboost-optuna-baseline", "kernel_id": "28208975"}, {"ref": "ozoozo/amex-eda-1-first-glance", "kernel_id": "28340049"}, {"ref": "ozoozo/amex-basic-lightgbm", "kernel_id": "28499253"}, {"ref": "ishaan45/amex-feature-engineering-ranking", "kernel_id": "28224947"}, {"ref": "zarif98sjs/xgboost-starter-0-793", "kernel_id": "28396590"}, {"ref": "crashoverdrive/cms-data-preprocessing-model-creation-guide", "kernel_id": "28678864"}, {"ref": "nanabi/amex-ks-csi-nnb", "kernel_id": "28976919"}, {"ref": "jakelj/amex-cnn-starter-data-image-prediction", "kernel_id": "28758125"}, {"ref": "jagdmir/american-express-default-prediction-eda", "kernel_id": "28083784"}, {"ref": "jagdmir/baseline-xgboost-with-pca", "kernel_id": "28920370"}, {"ref": "harsh2040/introduction-to-pyspark", "kernel_id": "28768695"}, {"ref": "what5up/amex-lstm-pytorch-lightning-training", "kernel_id": "28209514"}, {"ref": "what5up/amex-lstm-pytorch-lightning-inf-0-717", "kernel_id": "28209462"}, {"ref": "susnato/amex-borutashap-feature-selection", "kernel_id": "28058434"}, {"ref": "trevorfrench/amex-python-ml", "kernel_id": "28974630"}, {"ref": "otugrul/amex-caret-train-classification-with-r", "kernel_id": "28543835"}, {"ref": "otugrul/amex-lightgbm-and-rfe-in-r", "kernel_id": "28601654"}, {"ref": "otugrul/amex-data-storage-in-rds-files", "kernel_id": "28646290"}, {"ref": "otugrul/amex-linear-xgboost-in-r", "kernel_id": "28771448"}, {"ref": "sshikamaru/american-express-default-prediction", "kernel_id": "28239705"}, {"ref": "nlztrk/faster-get-difference-multi-processing", "kernel_id": "28822180"}, {"ref": "viktorfairuschin/amex-reduce-memory-usage", "kernel_id": "28122702"}, {"ref": "manwithaflower/overfitting-public-lb", "kernel_id": "28885990"}, {"ref": "nandakishorejoshi/amex-with-best-params-lgbm-xgboost-catboost", "kernel_id": "28921979"}, {"ref": "nandakishorejoshi/amex-pre-and-post-model-predictive-analysis", "kernel_id": "28176486"}, {"ref": "rayanaay/pyspark-is-all-you-need-simple-decision-tree", "kernel_id": "28393592"}, {"ref": "datauma/credit-card-default-prediction-amex", "kernel_id": "28171499"}, {"ref": "stg44g3g36hk416hk417/amex-preprocessing-only-kaggle-gpu", "kernel_id": "28826423"}, {"ref": "schopenhacker75/fancy-complete-eda", "kernel_id": "28581086"}, {"ref": "ricafernandes/tensorflow-bilstms", "kernel_id": "28049357"}, {"ref": "bhavesjain/amex-default-pred-train", "kernel_id": "28230033"}, {"ref": "bhavesjain/amex-default-pred-infer", "kernel_id": "28240195"}, {"ref": "saurav9786/amex-data-preprocessing-eda-feature-engineering", "kernel_id": "28600244"}, {"ref": "tatsuyafujii/eng-eda-underconstrunction", "kernel_id": "28593375"}, {"ref": "tatsuyafujii/eng-split-data", "kernel_id": "28824723"}, {"ref": "sarang210/american-express-correlations", "kernel_id": "28112854"}, {"ref": "sarang210/catboost-optuna-hyperparameter-tuning", "kernel_id": "28541159"}, {"ref": "jenarthanan/amex-default-prediction-parquest-train-data", "kernel_id": "28350130"}, {"ref": "hinepo/amex-tabnet-training", "kernel_id": "28010386"}, {"ref": "deepkun1995/amex-make-feature", "kernel_id": "28634848"}, {"ref": "dungdao706/amex-deep-learning-deepctr-autoint-xdeepfm", "kernel_id": "28292217"}, {"ref": "wanko5452/catboost-md-10-gpu-0-795-lb", "kernel_id": "28895460"}, {"ref": "jonaswm/autogluon-automl", "kernel_id": "28207743"}, {"ref": "jonaswm/improving-lightgbm-model-with-cleanlab", "kernel_id": "28215884"}, {"ref": "faseeh001/amex-data-analysis", "kernel_id": "28257919"}, {"ref": "shanun123/notebooked94bcfb68", "kernel_id": "28848602"}, {"ref": "nickimpark/amex-prediction", "kernel_id": "28000733"}, {"ref": "slowlearnermack/amex-lgbm-dart-cv-0-7963-improved", "kernel_id": "28928761"}, {"ref": "devsubhash/amex-eda-default-prediction", "kernel_id": "28206699"}, {"ref": "paulojunqueira/ensemble-optimization-with-ga", "kernel_id": "28537902"}, {"ref": "vivek61/amex-eda-model-building", "kernel_id": "28085549"}, {"ref": "songseungwon/xgboost-tutorial", "kernel_id": "28774039"}, {"ref": "songseungwon/xgboost-tutorial-with-efficient-memory-management", "kernel_id": "28836972"}, {"ref": "italosimoes/amex-data-treatment-and-predictions", "kernel_id": "28860274"}, {"ref": "lucasmorin/amex-feature-engineering-3-transform-functions", "kernel_id": "28619536"}, {"ref": "lucasmorin/amex-feature-engineering-2-aggreg-functions", "kernel_id": "28597424"}, {"ref": "zeyjin/xgboost-starter", "kernel_id": "28812746"}, {"ref": "pyagoubi/amex-eda-evolvement-of-numeric-features-over-time", "kernel_id": "28127476"}, {"ref": "samyukthamobile/amex-csv-to-feather", "kernel_id": "28423628"}, {"ref": "samyukthamobile/eda-starter", "kernel_id": "28424419"}, {"ref": "rodrigostallsikora/3rd-attemp-xgboost", "kernel_id": "28841875"}, {"ref": "neeharikar/amex-eda-prediction-new", "kernel_id": "28644102"}, {"ref": "thiagossilva/glmnet-model-in-r-default-prediction", "kernel_id": "28800973"}, {"ref": "zacharyluscher/xgboost-starter-0-793", "kernel_id": "28500007"}, {"ref": "pvtrmalli/amex-default-prediction-eda-lgbm", "kernel_id": "28072970"}, {"ref": "shuntakinami/xgboost-catboost-and-lightgbm-ensemble-model", "kernel_id": "28558355"}, {"ref": "thangphung215/lstm-pytorch", "kernel_id": "28062802"}, {"ref": "abdellatifsassioui/create-pickeld-data-from-50-gb-to-6gb", "kernel_id": "28102505"}, {"ref": "shanggangli/baseline-lgbm", "kernel_id": "28511141"}, {"ref": "rohancasukhela/notebooke2825f9b4a", "kernel_id": "28319415"}, {"ref": "asapbabass/american-express-analyse-de-donn-es", "kernel_id": "28072861"}, {"ref": "shusky/amex-relation-b-w-number-of-statements-default", "kernel_id": "28598699"}, {"ref": "gauridargar/american-express-eda-by-gauri", "kernel_id": "28302568"}, {"ref": "cinciadedadoscomr/amex-decision-tree-for-categ-feature-selection", "kernel_id": "28386604"}, {"ref": "cinciadedadoscomr/amex-train-sample-dask-cudadf-rapids", "kernel_id": "28582398"}, {"ref": "cinciadedadoscomr/amex-train-sample-with-dask-dataframe", "kernel_id": "28581759"}, {"ref": "lixinqi98/amex-lightgbm", "kernel_id": "28752780"}, {"ref": "aaron874/amex-competition-submission", "kernel_id": "28407207"}, {"ref": "yamaich/amex-nacounts-train-and-test", "kernel_id": "28035618"}, {"ref": "xufana/amex-lgbm-starting-notebook", "kernel_id": "28144431"}, {"ref": "shinyatakaramoto/simple-logistic-regression-with-crossvalidataion", "kernel_id": "28498900"}, {"ref": "kartushovdanil/baseline-amex-catboost-blending-wandb", "kernel_id": "28453789"}, {"ref": "scumufeng/notebook-score-sorting-test-display-bug", "kernel_id": "28394890"}, {"ref": "xxxxyyyy80008/amex-submission-test", "kernel_id": "28496169"}, {"ref": "xxxxyyyy80008/process-amex-train-data-to-parquet-format", "kernel_id": "28498522"}, {"ref": "xxxxyyyy80008/amex-train-data-eda-dask-for-fast-analysis", "kernel_id": "28542945"}, {"ref": "xxxxyyyy80008/amex-feature-engineering-agg-by-cust-id", "kernel_id": "28591264"}, {"ref": "xxxxyyyy80008/amex-feature-engineering-and-selection", "kernel_id": "28657520"}, {"ref": "rachidrahal/basic-default-predict-amex", "kernel_id": "28147339"}, {"ref": "foocheechuan/amexdefaultprediction", "kernel_id": "28813928"}, {"ref": "girishkumarsahu/american-express-default-prediction-eda", "kernel_id": "28200830"}, {"ref": "jiapingwen/follow-amex-lgbm-dart-cv-0-7977", "kernel_id": "28751250"}, {"ref": "olgaparshina/default-forecast-p-o", "kernel_id": "28149201"}, {"ref": "shrushtijoshi/weights-biases-hppt", "kernel_id": "28127995"}, {"ref": "georgetaran/american-express-data-analysis-xgb", "kernel_id": "28910226"}, {"ref": "roberthatch/amex-feature-engg-gpu-or-cpu-process-in-chunks", "kernel_id": "28601520"}, {"ref": "roberthatch/xgboost-pyramid-cv-0-7968", "kernel_id": "28884880"}, {"ref": "roberthatch/pyramid-on-statement-dates-notebook", "kernel_id": "28963237"}, {"ref": "roberthatch/xgboost-pyramid-test-predictions", "kernel_id": "28813743"}, {"ref": "santosh1974/amex-first", "kernel_id": "28217295"}, {"ref": "gzguevara/compute-new-features-based-on-risk-variables", "kernel_id": "28017013"}, {"ref": "gzguevara/n-a-value-analysis", "kernel_id": "28160756"}, {"ref": "janani2718/amex-classifier-train", "kernel_id": "28158266"}, {"ref": "johnyuzhang/ds-tensorflow-gru", "kernel_id": "28652965"}, {"ref": "pallavijagtap/american-express-default-prediction-9th-aug", "kernel_id": "28233657"}, {"ref": "raj401/visualize-the-learningratescheduler", "kernel_id": "28019843"}, {"ref": "madhuban17/amex-model-xgb-26features", "kernel_id": "28978622"}, {"ref": "madhuban17/amex-reading-data", "kernel_id": "28201354"}, {"ref": "azminetoushikwasi/different-clustering-techniques-and-algorithms", "kernel_id": "28390671"}, {"ref": "duanchenliu/data-exploring-dl", "kernel_id": "28077979"}, {"ref": "duanchenliu/xgboost-starter-0-793", "kernel_id": "28224861"}, {"ref": "duanchenliu/baseline-exploration", "kernel_id": "28269335"}, {"ref": "kuldipgusani/amex-default-prediction-smote-lgb-and-xgb", "kernel_id": "28272670"}, {"ref": "junjitakeshima/amex-simple-lgbm-starter-for-beginner-en", "kernel_id": "28083084"}, {"ref": "junjitakeshima/amex-try-to-improve-lgbm-starter-eng", "kernel_id": "28248474"}, {"ref": "junjitakeshima/amex-lgbm-improved-by-new-feature-p2-b9-en-jp", "kernel_id": "28417561"}, {"ref": "youheitomio/gpu-version-amex-lgbm-by-youhei-tomio", "kernel_id": "28280135"}, {"ref": "kingsshah/easiest-way-to-reduce-from-190-to-36-columns", "kernel_id": "28296708"}, {"ref": "bentorchakarim/amex-eda-pca", "kernel_id": "28262103"}, {"ref": "seraquevence/ensemble-weighted-average-iii-0-797", "kernel_id": "28126609"}, {"ref": "jonastberg/amex-preprocessing-eda", "kernel_id": "28902170"}, {"ref": "ujjwalchowdhury/advance-data-cleaning", "kernel_id": "28608755"}, {"ref": "ajinkyahpatil/notebookbbbf744a6c", "kernel_id": "28797187"}, {"ref": "rm1000/ensembling-with-vectorization", "kernel_id": "28904197"}, {"ref": "hongyishao/amex-model-tuning-version4-stackingstrategyc", "kernel_id": "28984551"}, {"ref": "anubhavde/amex-prediction", "kernel_id": "28935803"}, {"ref": "dianalaveena/american-express-xgboost", "kernel_id": "28428391"}, {"ref": "mohdmuttalib/american-express-basic-scaling-submission", "kernel_id": "28755516"}, {"ref": "ryandpark/notebookbe778ae9f0", "kernel_id": "28240249"}, {"ref": "drrajkulkarni/amex-cnn", "kernel_id": "28745446"}, {"ref": "drrajkulkarni/amex-tuned-lightgbm", "kernel_id": "28935797"}, {"ref": "drrajkulkarni/576-tuned-xgbm", "kernel_id": "28842229"}, {"ref": "acchiko/preview-of-train-dataset-chunk-002", "kernel_id": "28773987"}, {"ref": "greenfruit2/notebook9bad473f0e", "kernel_id": "28615123"}, {"ref": "arsalaan7/americanoexpressopredictaro", "kernel_id": "28355899"}, {"ref": "xaviernogueira/amex-pre-processing-w-dask-csv-parquet", "kernel_id": "28679174"}, {"ref": "nikitashrivastava292/notebook9d88dd5d3e", "kernel_id": "28759731"}, {"ref": "neelsubodhmehta/notebookc8a9e15898", "kernel_id": "28655619"}, {"ref": "larryliu31/amex-ccdp-lightgbm-series-1", "kernel_id": "28831917"}, {"ref": "imnaho/just-prepareing-training-data", "kernel_id": "28514885"}, {"ref": "imnaho/amexcompetition-just-check-test-data", "kernel_id": "28827858"}, {"ref": "delight669/amex-feature-engg-for-calssifiers", "kernel_id": "28093671"}, {"ref": "romaupgini/statement-dates-to-use-or-not-to-use", "kernel_id": "28858777"}, {"ref": "yulimjin/amex-data-analysis-in-english", "kernel_id": "28658692"}, {"ref": "kunheekimkr/amex-lgbm-gpu-starter-0-795", "kernel_id": "28826791"}, {"ref": "rriceice/time-series-eda", "kernel_id": "28297701"}, {"ref": "zhouhua2022/kaggle-2022-8-21-american-express-default-predicti", "kernel_id": "28692287"}, {"ref": "ryumdra/amex-date-customers", "kernel_id": "28166953"}, {"ref": "ryumdra/amex-from-good-refs", "kernel_id": "28469728"}, {"ref": "ryumdra/fromteacher-ref-catboost-blending-wandb", "kernel_id": "28603488"}, {"ref": "ryumdra/description-of-submission", "kernel_id": "28668668"}, {"ref": "ryumdra/catboost-parameter-fitting-by-optuna", "kernel_id": "28979397"}, {"ref": "aloychow/low-memory-lgbm-with-cv", "kernel_id": "28889855"}, {"ref": "jafarbakhshaliyev/starter-lgbm-dart-with-optuna-score-0-794", "kernel_id": "28766280"}, {"ref": "sansmurk/xgb-lgbm-stacking-model-with-lr", "kernel_id": "28743943"}, {"ref": "gehallak/the-dark-side-of-the-moon", "kernel_id": "28306715"}, {"ref": "ahmedali058/amex-default-predection", "kernel_id": "28028233"}, {"ref": "idsts2670/amex-notebook-v1", "kernel_id": "28044132"}, {"ref": "vicentebourbon/amex-default-prediction", "kernel_id": "28379179"}, {"ref": "ravisinghiitbhu/amex-with-categorical", "kernel_id": "28614340"}, {"ref": "nicolasgirardi/tp3final-grupo18", "kernel_id": "28465620"}, {"ref": "nbravo/tp3-grupo5", "kernel_id": "28290217"}, {"ref": "nicolaspuccar2002/notebook7209ec8fb6", "kernel_id": "28707876"}, {"ref": "cbeaud/american-express-basic-scaling-submission", "kernel_id": "28393266"}, {"ref": "werus23/amex-keras-with-knowledge-distillatation", "kernel_id": "28939019"}, {"ref": "adorachang/data-exploring-adora", "kernel_id": "28223772"}, {"ref": "mirfanazam/amex-prediction-starter", "kernel_id": "28770468"}, {"ref": "mirfanazam/learn-to-reduce-dataset-size", "kernel_id": "28556927"}, {"ref": "mirfanazam/vaex-the-byte-cruncher", "kernel_id": "28614469"}, {"ref": "mirfanazam/large-dataset-csv-dask-parquet", "kernel_id": "28478435"}, {"ref": "thedevastator/lag-features-are-all-you-need", "kernel_id": "28432212"}, {"ref": "thedevastator/the-fine-art-of-hyperparameter-tuning", "kernel_id": "28834369"}, {"ref": "ryanhartz/notebook5459c2a14f", "kernel_id": "28002078"}, {"ref": "unokensuke/eng-check-competition-data", "kernel_id": "28589037"}, {"ref": "sumit46656/02-amex-default-prediction", "kernel_id": "28776876"}, {"ref": "sebastiansmith5150/amex-prediction-starter-python-adaptation", "kernel_id": "28979140"}, {"ref": "ewu1233/rapids-cudf-feature-engineering-xgb-4684de", "kernel_id": "28598039"}, {"ref": "wxychloe/rapids-cudf-feature-engineering-xgb", "kernel_id": "28657812"}, {"ref": "lihuiliu2000/amex-lgbm-dart-cv-0-7963", "kernel_id": "28947143"}, {"ref": "eteresh/amex-nn-proof-last-features-enough", "kernel_id": "29786789"}, {"ref": "pavelvod/27-place-sequentialencoder", "kernel_id": "29842913"}, {"ref": "jsmithperera/lgbm-v3-model", "kernel_id": "29629323"}, {"ref": "jsmithperera/lgbm-v3-submission", "kernel_id": "29629809"}, {"ref": "jsmithperera/amex-lightgbm-v3", "kernel_id": "29407724"}, {"ref": "jpison/custom-lgbm-obj-weighted-logloss-function", "kernel_id": "29491285"}, {"ref": "pirudayaraj/amex-mlt-free-soln1-score-0-585", "kernel_id": "29632368"}, {"ref": "pirudayaraj/amex-mlt-free-soln2-0-588", "kernel_id": "29668106"}, {"ref": "usharengaraju/tensorflow-tpu-gatedtabtransformer-w-b", "kernel_id": "29212278"}, {"ref": "wordsforthewise/quick-and-dirty-first-ml-solution", "kernel_id": "29679426"}, {"ref": "wordsforthewise/create-amex-datasets", "kernel_id": "29757895"}, {"ref": "illidan7/ensemble-oof-101", "kernel_id": "29257902"}, {"ref": "illidan7/kerastuner-find-the-mlp-for-you", "kernel_id": "29458568"}, {"ref": "illidan7/amex-final-shakeup-how-screwed-are-you", "kernel_id": "29630270"}, {"ref": "gilgarad/amex-metric-tester", "kernel_id": "29271486"}, {"ref": "cv13j0/amex-gdbt-ensamble", "kernel_id": "29560858"}, {"ref": "finlay/pytorch-mlp-bagging-inference-step", "kernel_id": "29109749"}, {"ref": "finlay/pytorch-mlp-bagging-train-step", "kernel_id": "29103335"}, {"ref": "finlay/amex-rank-ensemble", "kernel_id": "29020029"}, {"ref": "prem134/notebook7d501712fc", "kernel_id": "29573581"}, {"ref": "prem134/tuffline-amex-anotherfeaturelgbm-prem", "kernel_id": "29645522"}, {"ref": "lhagiimn/amex-neural-network-model", "kernel_id": "29191916"}, {"ref": "lhagiimn/xgboost-pyramid-inference-cv-0-7995", "kernel_id": "29808680"}, {"ref": "lhagiimn/amex-xgboost-pyramid-cv-0-799", "kernel_id": "29804294"}, {"ref": "pham0030/ws3-tpb-amex-default-prediction-lgbm-models", "kernel_id": "29831818"}, {"ref": "bond005/amex-default-prediction-lstm", "kernel_id": "29445141"}, {"ref": "bond005/amex-default-prediction-gru", "kernel_id": "29272350"}, {"ref": "gauravbrills/tabtransformer-training", "kernel_id": "29387508"}, {"ref": "mrandri19/0-795-lb-sharing-my-ablations-dart-less-xgb", "kernel_id": "29107413"}, {"ref": "ivkireev/amex-ptls-data-preprocessing", "kernel_id": "29124793"}, {"ref": "ivkireev/amex-ptls-baseline-supervised-neural-network", "kernel_id": "29176882"}, {"ref": "ivkireev/amex-contrastive-embeddings-with-ptls-coles", "kernel_id": "29502341"}, {"ref": "ivkireev/amex-transformer-network-train-with-ptls", "kernel_id": "29595345"}, {"ref": "ivkireev/catboost-classifier-with-coles-embeddings", "kernel_id": "29618114"}, {"ref": "swimmy/tuffline-amex-anotherfeaturelgbm", "kernel_id": "29588171"}, {"ref": "yekenot/amex-pytorch-tabtransformer", "kernel_id": "29670274"}, {"ref": "yekenot/amex-deeptables", "kernel_id": "29028502"}, {"ref": "narendra/amex-gru-with-tab-embedds-train-v3", "kernel_id": "29574996"}, {"ref": "narendra/amex-sequence-data-clip-map", "kernel_id": "29472233"}, {"ref": "narendra/amex-nn-ranking-train-1024", "kernel_id": "29418364"}, {"ref": "narendra/amex-tabular-nn-data-clip-map", "kernel_id": "29432534"}, {"ref": "narendra/amex-model-stack", "kernel_id": "29363016"}, {"ref": "narendra/amex-transformer-train-v3", "kernel_id": "29683160"}, {"ref": "igjit1/amex-basic-logit-with-tidymodels", "kernel_id": "29280421"}, {"ref": "microize/portfolio-scalable-big-data-engineering-pyspark", "kernel_id": "29211201"}, {"ref": "deehive/amex-default-prediction-score-0-78001", "kernel_id": "29960826"}, {"ref": "jonbown/pyspark-memory-issues-decision-tree-submit", "kernel_id": "29412717"}, {"ref": "jonbown/default-prediction-random-forest-cv", "kernel_id": "29414432"}, {"ref": "vijayendrad/rf-logistic-reg-amex", "kernel_id": "29983835"}, {"ref": "vijayendrad/multilayer-perceptron-amex", "kernel_id": "29069299"}, {"ref": "jjjj88/amex-feaure-generation", "kernel_id": "29089844"}, {"ref": "utm529fg/eng-amex-dimension-reduction", "kernel_id": "29539593"}, {"ref": "vjagannath786/pytorch-lstm", "kernel_id": "29218948"}, {"ref": "sgreiner/amex-catboost-baseline", "kernel_id": "29327221"}, {"ref": "crashoverdrive/cms-complete-eda-guide", "kernel_id": "29034565"}, {"ref": "amant555/ensemble-xg-boost-catboost-lightgbm-credit-default", "kernel_id": "29524943"}, {"ref": "amant555/catboost-overall-risk-pay-bal-deli-features", "kernel_id": "29624657"}, {"ref": "sskknt/en-jp-lightgbm-feature-importance", "kernel_id": "29597264"}, {"ref": "kenakai16/only-xgboost", "kernel_id": "29445498"}, {"ref": "otugrul/amex-catboost-with-raw-timeseries-train-data-r", "kernel_id": "29516117"}, {"ref": "rayanaay/ensemble-with-probabilities-density-0-799", "kernel_id": "29843142"}, {"ref": "tavoglc/3d-convolution-for-tabular-data", "kernel_id": "29107903"}, {"ref": "adhithyasrinivasan/credit-prediction-with-xgboost", "kernel_id": "29559811"}, {"ref": "adhithyasrinivasan/amex-feature-ensemble", "kernel_id": "29560656"}, {"ref": "henilj7/tabular-playground-series-eda-modeling", "kernel_id": "29531336"}, {"ref": "schopenhacker75/lightgbm-catboost-0-8-end2end-study", "kernel_id": "29740321"}, {"ref": "vickeytomer/catboost-classifier", "kernel_id": "29559767"}, {"ref": "sercanyesiloz/american-express-default-prediction-eda", "kernel_id": "29028307"}, {"ref": "pabuoro/amex-ultra-fast-adversarial-validation-shap", "kernel_id": "29718859"}, {"ref": "yutodennou/competition-catboost-classifier", "kernel_id": "29818671"}, {"ref": "nkaria1/amex-baseline", "kernel_id": "29430710"}, {"ref": "jaloeffe92/notebook0cceb85bb5", "kernel_id": "29225847"}, {"ref": "jaloeffe92/ensembling-will-give-you-silver-medal", "kernel_id": "29225723"}, {"ref": "sarang210/count-features-amex", "kernel_id": "29142232"}, {"ref": "tea0925ds/amex-2", "kernel_id": "29616347"}, {"ref": "hideyukizushi/amex-inf-single-zhc2-e-100-0-7991086274424719", "kernel_id": "29526365"}, {"ref": "hideyukizushi/amex-train-rnn-gru-e10-changelr", "kernel_id": "29307897"}, {"ref": "hideyukizushi/amex-inf-blend-onlyteam-v2", "kernel_id": "29747721"}, {"ref": "hideyukizushi/amex-inf-single-amex-dc-k-101-0-7993049449776155", "kernel_id": "29698871"}, {"ref": "paulojunqueira/training-pipeline-for-amex", "kernel_id": "29785082"}, {"ref": "ivanblch/amex-ptls-baseline-supervised-neural-networ-8f6d4b", "kernel_id": "29531542"}, {"ref": "sidharkal/amex-with-ml", "kernel_id": "29255869"}, {"ref": "bernardolopez/amex-eda-and-modeling", "kernel_id": "29042937"}, {"ref": "monarchgui/test1", "kernel_id": "29450365"}, {"ref": "shahilap96/for-beginners-1-loading-and-preprocessing", "kernel_id": "29413071"}, {"ref": "shahilap96/private-leaderboard-3442-my-best-solution", "kernel_id": "29887446"}, {"ref": "shahilap96/for-beginners-2-train-predictions-submission", "kernel_id": "29611762"}, {"ref": "shahilap96/for-beginners-ann-with-keras-tensorflow", "kernel_id": "29751918"}, {"ref": "carlosasdesouza/gpu-amex-benchmark", "kernel_id": "29334924"}, {"ref": "carlosasdesouza/xgb1carlos", "kernel_id": "29491465"}, {"ref": "justinmustaine/customer-id-observations", "kernel_id": "29044265"}, {"ref": "yassershrief/combination-of-neural-network-and-lightgbm", "kernel_id": "29074182"}, {"ref": "arunkumar1809/amex-prediction", "kernel_id": "29528702"}, {"ref": "debarpanml/american-express-predictor", "kernel_id": "29271197"}, {"ref": "debarpanml/american-express-test-eda-part-1", "kernel_id": "29203581"}, {"ref": "debarpanml/american-express-train-eda", "kernel_id": "29036721"}, {"ref": "limweixuan1994/xgboost-credit-prediction", "kernel_id": "29152031"}, {"ref": "hengjianshe/lightgbm-best-0-795", "kernel_id": "29399496"}, {"ref": "skloveyyp/amex-lgbm-dart-cv-0-7977", "kernel_id": "29015762"}, {"ref": "skloveyyp/lightgbm-for-amex", "kernel_id": "29021848"}, {"ref": "joejoeshi/amex20220806", "kernel_id": "29383527"}, {"ref": "baekseungyun/error-analysis-with-lgbm-dart", "kernel_id": "29573931"}, {"ref": "lordxerxes/amex-prediction", "kernel_id": "29663352"}, {"ref": "raimondomelis/encoding-comparison-mean-vs-woe-vs-label-vs-freq", "kernel_id": "29759217"}, {"ref": "raimondomelis/step-by-step-data-preprocessing-demo-full-data", "kernel_id": "29868766"}, {"ref": "eugenekoutiloff/amex-competition-data-prep-in-bq", "kernel_id": "29288582"}, {"ref": "girishkumarsahu/american-express-default-prediction-ml-model", "kernel_id": "29194802"}, {"ref": "gcmadhan/amex-default-prediction-pycaret", "kernel_id": "29654214"}, {"ref": "kobzetsu/top-25-most-important-features-using-gini-iv-woe", "kernel_id": "29438628"}, {"ref": "roberthatch/exponential-averages-amex-feature-engineering", "kernel_id": "29230502"}, {"ref": "roberthatch/pyramid-api-for-easy-deployment", "kernel_id": "29005062"}, {"ref": "roberthatch/amex-fe-02-days-overdue-label", "kernel_id": "29395273"}, {"ref": "viktorcikojevic/basic-xgboost-on-preprocessed-data", "kernel_id": "29407600"}, {"ref": "viktorcikojevic/amex-features-eda", "kernel_id": "29336756"}, {"ref": "deepakchandrasekars/american-express-prediction", "kernel_id": "29530300"}, {"ref": "deepakchandrasekars/improved-cnn-sequential-data-score-78-9", "kernel_id": "29140853"}, {"ref": "fritzcremer/amex-shakeup", "kernel_id": "29856698"}, {"ref": "gzguevara/use-weights-of-evidence-for-categorial-variables", "kernel_id": "29405879"}, {"ref": "gzguevara/extract-all-information-from-categorial-features", "kernel_id": "29338571"}, {"ref": "gzguevara/smart-brute-force-feature-engineering", "kernel_id": "29379853"}, {"ref": "gzguevara/new-features-based-on-information-value", "kernel_id": "29357805"}, {"ref": "johnyuzhang/ds-time-series-plotting", "kernel_id": "29723623"}, {"ref": "johnyuzhang/ds-lstm", "kernel_id": "29719320"}, {"ref": "johnyuzhang/ds-data-analysis-impute-plotting", "kernel_id": "29719728"}, {"ref": "pallavijagtap/american-express-1st-itteration", "kernel_id": "29444501"}, {"ref": "madhuban17/amex-common-features-in-train-data-csv-with-chunks", "kernel_id": "29020991"}, {"ref": "madhuban17/eda-balance-variables", "kernel_id": "29447632"}, {"ref": "mahendrasinghrajpoot/amex-default-prediction-by-mahii", "kernel_id": "29022957"}, {"ref": "viktoruimanov/notebook6cf892ec69", "kernel_id": "29921485"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "youneseloiarm/xgboost-starter-30-70", "kernel_id": "29735438"}, {"ref": "shigeeeru/tensorflow-cnn-starter-0-785", "kernel_id": "29117572"}, {"ref": "tatsumicrub/27th-place-amex-rank-ensemble", "kernel_id": "29790474"}, {"ref": "tonymarkchris/amex-catboost", "kernel_id": "29110916"}, {"ref": "akanshakhandelwal08/amexprediction-aug", "kernel_id": "29527407"}, {"ref": "danielib/american-express-default-prediction", "kernel_id": "29558726"}, {"ref": "dmtrrr/nn-with-custom-transformer-layers", "kernel_id": "29306028"}, {"ref": "urbanmonk09/new-tuning", "kernel_id": "29479743"}, {"ref": "urbanmonk09/fine-tune", "kernel_id": "29481653"}, {"ref": "urbanmonk09/cat-boost-amex-solution-for-all", "kernel_id": "29173492"}, {"ref": "mhill17/learning-the-kaggle-ensembling-guide", "kernel_id": "29810757"}, {"ref": "jimkaihuang/feedback-prize-effectiveness-bert-cnn", "kernel_id": "29056422"}, {"ref": "carlmaxace/exponential-ensemble", "kernel_id": "29658896"}, {"ref": "vmuzhichenko/amex-tensorflow-lstm-cnn", "kernel_id": "29571399"}, {"ref": "rm1000/improved-amex-rank-ensemble", "kernel_id": "29125951"}, {"ref": "rm1000/improved-exponentially-weighted-ensemble", "kernel_id": "29798480"}, {"ref": "heyspaceturtle/beware-the-spaceturtles", "kernel_id": "29357767"}, {"ref": "leointeresting/forkof-amex-submission-correlation", "kernel_id": "29242229"}, {"ref": "leointeresting/amex-submission-correlation", "kernel_id": "29213411"}, {"ref": "kalelpark/amex-top10-solution", "kernel_id": "29956255"}, {"ref": "drrajkulkarni/amex-ml-smote-lgbm", "kernel_id": "29305685"}, {"ref": "drrajkulkarni/catboost-576", "kernel_id": "29451479"}, {"ref": "drrajkulkarni/xgbm-lgbm-catboost-combined-576", "kernel_id": "29454015"}, {"ref": "drrajkulkarni/amex-transfer-learning-model", "kernel_id": "29549805"}, {"ref": "itspavansatish/lgbclassifier-starter-0-57", "kernel_id": "29372767"}, {"ref": "stgkrtua/amex-train-lgbm-baseline-change-hyps", "kernel_id": "29221412"}, {"ref": "stgkrtua/amex-corrcheck-for-select-feature", "kernel_id": "29215786"}, {"ref": "stgkrtua/amex-traindata-preproc-featureselect", "kernel_id": "29217160"}, {"ref": "stgkrtua/amex-train-lgbm-baseline-featureselect", "kernel_id": "29220910"}, {"ref": "stgkrtua/amex-train-lgbm-baseline-thr08deln-add", "kernel_id": "29302949"}, {"ref": "stgkrtua/amex-traindata-preproc-thr08deln-addcorepce", "kernel_id": "29301766"}, {"ref": "stgkrtua/amex-train-lgbm-baseline-thr08-delnull", "kernel_id": "29297698"}, {"ref": "stgkrtua/amex-traindata-preproc-investpy-thr08-delnull", "kernel_id": "29297716"}, {"ref": "stgkrtua/amex-traindata-preproc-investpy", "kernel_id": "29289881"}, {"ref": "stgkrtua/amex-train-lgbm-baseline-thr06", "kernel_id": "29293774"}, {"ref": "stgkrtua/amex-traindata-preproc-investpy-thr06", "kernel_id": "29293912"}, {"ref": "stgkrtua/amex-traindata-customid-check", "kernel_id": "29236899"}, {"ref": "stgkrtua/amex-howtopreprocess-testdata-onkaggle", "kernel_id": "29060822"}, {"ref": "stgkrtua/amex-train-lgbm-baseline", "kernel_id": "29043754"}, {"ref": "stgkrtua/amex-howtopreprocess-onkaggle", "kernel_id": "29015430"}, {"ref": "stgkrtua/amex-infer-lgbm-baseline-oof-onkaggle", "kernel_id": "29526541"}, {"ref": "stgkrtua/amex-train-lgbm-baseline-oof-onkaggle", "kernel_id": "29443543"}, {"ref": "rachanajavaji/american-express-random-forest-predication-with", "kernel_id": "29742558"}, {"ref": "mohammadnaif/amex-ensemble-several-notebook-outputs", "kernel_id": "29021117"}, {"ref": "gunupurugirija/amex-credit-score-model", "kernel_id": "29867323"}, {"ref": "nayerbasim/default-predictions", "kernel_id": "29249624"}, {"ref": "edankinderman/default-prediction-gradient-boosting", "kernel_id": "29571555"}, {"ref": "chickenugget/random-forest-classifier", "kernel_id": "29776470"}, {"ref": "chickenugget/cat-boosting-classifier", "kernel_id": "29844193"}, {"ref": "victoriazeruk/amex-choise-model", "kernel_id": "29687346"}, {"ref": "victoriazeruk/amex-default-prediction-test-lgbm", "kernel_id": "29674959"}, {"ref": "victoriazeruk/amex-pytorch-gru-test", "kernel_id": "29478032"}, {"ref": "roniheka/ensemble-coordinate-different-preds-one-by-one", "kernel_id": "29369897"}, {"ref": "kunheekimkr/amex-lgbm-optuna-starter", "kernel_id": "29189310"}, {"ref": "nghiahoangtrung/only-xgboost", "kernel_id": "29652989"}, {"ref": "imbikramsaha/tuffline-amex-using-lgbmclassifier", "kernel_id": "29816714"}, {"ref": "ullaskc1998/amex-final", "kernel_id": "29360001"}, {"ref": "gehallak/amex-correlation", "kernel_id": "29556441"}, {"ref": "mohamedahmedx2/amex-clear-concise-eda-xgboost", "kernel_id": "29209992"}, {"ref": "ravisinghiitbhu/fork-of-amex-with-categorical", "kernel_id": "29078419"}, {"ref": "ravisinghiitbhu/one-hot-encoding-d-63-d-64", "kernel_id": "29089553"}, {"ref": "ravisinghiitbhu/fork-of-one-hot-encoding-d-63-d-64", "kernel_id": "29105045"}, {"ref": "erwanchesneau/notebook-amex-submission-model-averaging", "kernel_id": "29844169"}, {"ref": "erwanchesneau/amex-model-averaging-xgboost-cateboost-0-794", "kernel_id": "29826628"}, {"ref": "erwanchesneau/notebook-exploration", "kernel_id": "29671073"}, {"ref": "elianaharriet/tp3-organizacion-de-datos", "kernel_id": "29603334"}, {"ref": "santiagotesta/tp3-g14", "kernel_id": "29232462"}, {"ref": "nelsonfrodriguez/desafio-american-express-xgbregressor", "kernel_id": "29637450"}, {"ref": "yajingirenezhang/fork-of-notebook2a797061f2", "kernel_id": "29109156"}, {"ref": "werus23/amex-keras-1d-cnn", "kernel_id": "29086795"}, {"ref": "ydvaakash/conversion-of-amex-dataset-csv-into-hdf5-format", "kernel_id": "29381099"}, {"ref": "rusinisiyara/tuffline-submitions-01", "kernel_id": "29381415"}, {"ref": "ruwinishashipraba/tuffline-ruwini", "kernel_id": "29266752"}, {"ref": "thedevastator/amex-bruteforce-feature-engineering", "kernel_id": "29258443"}, {"ref": "thedevastator/amex-features-the-best-of-both-worlds", "kernel_id": "29181120"}, {"ref": "zb1373/blend-boosting-study", "kernel_id": "29373102"}, {"ref": "zb1373/xgb-lgbm-catboost-cnn-stacking", "kernel_id": "29401538"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "shehanu/american-express-default-prediction", "kernel_id": "29157961"}, {"ref": "chamindugimhana/team-infinity-artificial-intelligence-project", "kernel_id": "29202935"}, {"ref": "chamindugimhana/team-infinity-ai-project", "kernel_id": "29214065"}, {"ref": "leesinkaze/amex-compare-train-test-agg", "kernel_id": "29114286"}, {"ref": "xodeum/american-express-prediction", "kernel_id": "29484019"}, {"ref": "zhaoxinyu0121/amex-feature-ensemble", "kernel_id": "29497604"}, {"ref": "julyhappy/xgb-lgbm-catboost-0-796", "kernel_id": "29291524"}, {"ref": "kavindatharindu/american-express-default-prediction", "kernel_id": "29207098"}, {"ref": "manojijayasooriya/notebookfb5b62d899", "kernel_id": "29194787"}, {"ref": "nethmirajapaksha/notebooka51a048bc9", "kernel_id": "29177239"}, {"ref": "nethmirajapaksha/notebook67d7c95c72", "kernel_id": "29378934"}, {"ref": "chengruili1/amex-catboost", "kernel_id": "29994431"}, {"ref": "toddgardiner/amex-lgbm", "kernel_id": "29541407"}, {"ref": "hikarutabata/exponential-ensemble", "kernel_id": "29598664"}, {"ref": "viictte/xgboost-pyramid-test-predictions", "kernel_id": "29266352"}, {"ref": "yiguocola/fork-of-ensembling-will-give-you-silver-medal", "kernel_id": "29578521"}, {"ref": "enterta1ner/amex-training", "kernel_id": "29497220"}, {"ref": "alvinleenh/amex-prediction-with-cat-boost", "kernel_id": "29533704"}, {"ref": "pirudayaraj/amex-mlt-free-soln4-0-72548", "kernel_id": "30151502"}, {"ref": "stautxie/python-lightgbm-dart-save-best-model", "kernel_id": "30210462"}, {"ref": "hasangoni/amex-50000-chunks-data", "kernel_id": "30495287"}, {"ref": "pratul007/amexprediction-aug", "kernel_id": "30012021"}, {"ref": "pratul007/american-express-default-prediction-ml-model", "kernel_id": "30012198"}, {"ref": "schopenhacker75/kagglers-first-choices-lightgbm-catboost", "kernel_id": "30635944"}, {"ref": "sohailshaik272/csv-to-parquet-pickle-amex", "kernel_id": "30183694"}, {"ref": "juixv3937/amex-pytorch-ignite-gru", "kernel_id": "30418325"}, {"ref": "juixv3937/notebookb7b61d4a30", "kernel_id": "30389096"}, {"ref": "firobeid/amex-xgb-model-calibration", "kernel_id": "30061808"}, {"ref": "samyukthamobile/simple-beginners-lgbm-default-rate-prediction", "kernel_id": "30173030"}, {"ref": "ebrahimgholami/american-express", "kernel_id": "30906549"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "xxxxyyyy80008/amex-data-processing-csv2parquet", "kernel_id": "30695945"}, {"ref": "neesham/nlp-for-beginners", "kernel_id": "30979766"}, {"ref": "johnyuzhang/ds-amex-lgbm-dart-cv-0-7977", "kernel_id": "30770795"}, {"ref": "johnyuzhang/ds-amex-top-prize-implementation", "kernel_id": "30466767"}, {"ref": "johnyuzhang/ds-tensorflow-transformers-from-gru", "kernel_id": "30130692"}, {"ref": "mohammad2012191/catboost-feature-engineering-ideas", "kernel_id": "30033197"}, {"ref": "saptaneelmukherjee/amex-data-preprocessing-eda-feature-engineering", "kernel_id": "30964163"}, {"ref": "saptaneelmukherjee/american-express-default-prediction", "kernel_id": "30962336"}, {"ref": "anantpandey29/amex-data-ml-approach", "kernel_id": "30530904"}, {"ref": "yairkabakovitch/default-prediction-gradient-boosting-bab60e", "kernel_id": "30760778"}, {"ref": "anmolspace/instantly-estimate-rows-in-a-very-large-csv-file", "kernel_id": "30049895"}, {"ref": "ydvaakash/amex-5fold-feather-dataset", "kernel_id": "30506247"}, {"ref": "ydvaakash/amex-catboost-featureng", "kernel_id": "30623138"}, {"ref": "bansodesandeep/topic-modeling-with-bert", "kernel_id": "30404736"}, {"ref": "bansodesandeep/nlp-predicting-sentiment-of-covid-19-tweets", "kernel_id": "30444851"}, {"ref": "samedimanchelundi/fork-of-amex-lgbm-dart-cv-0-7977", "kernel_id": "30644126"}, {"ref": "arunkumardsci/memory-optimiztion-amex-dataset", "kernel_id": "30251369"}, {"ref": "jinweitu/amex-default-prediction-with-lgbm-model-comparison", "kernel_id": "30304539"}, {"ref": "jinweitu/model-test", "kernel_id": "30432288"}, {"ref": "jinweitu/amex-default-prediction-with-lgbm-data-preparation", "kernel_id": "30216115"}, {"ref": "rizkia14/a-complete-guide-to-k-nearest-neighbours", "kernel_id": "30958103"}, {"ref": "bentelychen/xgboost-starter-0-793", "kernel_id": "30954517"}, {"ref": "arielaragonoliva/exploraciondatos-amex-hectoraragon", "kernel_id": "31050106"}, {"ref": "eugenepogulyay/subset-selection-and-work-with-files-with-pandas", "kernel_id": "31929011"}, {"ref": "juantoveayra/notebook7368c592a1", "kernel_id": "31049665"}, {"ref": "adityaayyagari/ml-with-big-data-project-group-c", "kernel_id": "31267141"}, {"ref": "akshayjain1234569/eda-on-american-express-defualt-prediction", "kernel_id": "31985832"}, {"ref": "acchiko/lgbm-hyperparameters-optimization-with-optuna", "kernel_id": "31039835"}, {"ref": "jaygun84/american-express", "kernel_id": "31933502"}, {"ref": "kirankumar2000/notebook5dce349edb", "kernel_id": "31065825"}, {"ref": "manirajheerakar/amex-dataset", "kernel_id": "31994516"}, {"ref": "dharaningowda/python-assignment", "kernel_id": "31965528"}, {"ref": "keenoglanville/a-fool-s-complete-guide-to-logistic-regression", "kernel_id": "31984941"}, {"ref": "tztztz2022/american-express-create-training-pickle-file", "kernel_id": "31029924"}, {"ref": "lizexuan1/data-creating", "kernel_id": "31029583"}, {"ref": "lizexuan1/feature-selection-aggregate", "kernel_id": "31034119"}, {"ref": "initializerz/amex-momentum", "kernel_id": "31522077"}, {"ref": "usharengaraju/gatedtabtransformer-flax-w-b", "kernel_id": "32492401"}, {"ref": "shravankumar147/2-data-exploration-fastai-amex", "kernel_id": "32756270"}, {"ref": "shravankumar147/1-data-exploration-amex-default-prediction", "kernel_id": "32737816"}, {"ref": "littlezombie/fast-lgbm-baseline", "kernel_id": "32654860"}, {"ref": "karnik1406120/american-express-default-prediction", "kernel_id": "32390792"}, {"ref": "wispetzar20/notebookd33e257548", "kernel_id": "32857326"}, {"ref": "apoorvaverma31/amex-eda-which-makes-sense", "kernel_id": "32824386"}, {"ref": "ngkiuhi/preprocesing-train-data", "kernel_id": "32763826"}, {"ref": "vietsimon/notebook4fbd1f9f13", "kernel_id": "32620996"}, {"ref": "liamvanderstappen/churnpreditiction", "kernel_id": "32102044"}, {"ref": "dharaningowda/visualization", "kernel_id": "32124375"}, {"ref": "keenoglanville/simple-bankruptcy-prediction-w-logistic-regression", "kernel_id": "32979591"}, {"ref": "aboud9090/american-express-notebook", "kernel_id": "33049645"}, {"ref": "lahiruakmeemana/mini-project", "kernel_id": "33218880"}, {"ref": "nguyenminhdang/notebook70a75cb5d2", "kernel_id": "33419820"}, {"ref": "fredhuangh/amex-default-prediction-final-project", "kernel_id": "33704898"}, {"ref": "fredhuangh/amex-final-project-model-training-and-prediction", "kernel_id": "33985625"}, {"ref": "yuhsinchu/amex-final-project-eda-features-selection-rfe", "kernel_id": "33861748"}, {"ref": "thayarubanthayalan/amex-transfer-learning-model", "kernel_id": "33237024"}, {"ref": "fauzanmohammed/american-express", "kernel_id": "33721747"}, {"ref": "thakshayan/amex-code", "kernel_id": "33772454"}, {"ref": "sarveswarasarma/american-express-default-prediction", "kernel_id": "33232519"}, {"ref": "itlevandong/preprocesing-1-2-3-4", "kernel_id": "33137910"}, {"ref": "ngkiuhi/preprocesing-test-data", "kernel_id": "33455555"}, {"ref": "imnandini/american-express-default-prediction", "kernel_id": "33118863"}, {"ref": "vieris123/lgb-test2", "kernel_id": "33521493"}, {"ref": "sathulakjan/amex-prediction-new", "kernel_id": "33514614"}, {"ref": "uom180352e/ml-amex", "kernel_id": "33047989"}, {"ref": "batrnng/prediction-1-2-3-4", "kernel_id": "33495434"}, {"ref": "batrnng/training-1-2-3-4", "kernel_id": "33430217"}, {"ref": "uom180424d/uom-180424d", "kernel_id": "33228893"}, {"ref": "uom180029v/amex-new-180029v", "kernel_id": "33229687"}, {"ref": "vitaliyshpak/amex-default-prediction", "kernel_id": "33837640"}, {"ref": "phusy2001/xgboost", "kernel_id": "33293468"}, {"ref": "minhtriet138/xgb-lgbm-stacking-with-gpu-reading-chunk", "kernel_id": "33505641"}, {"ref": "catherinechengy/amex-default-prediction-data-project", "kernel_id": "33680800"}, {"ref": "ifuurh/xgboost", "kernel_id": "34412841"}, {"ref": "ethansilvas/predict-shallow-nn", "kernel_id": "34955236"}, {"ref": "ethansilvas/predict-logistic-regression", "kernel_id": "34779772"}, {"ref": "ethansilvas/amex-generate-features-test", "kernel_id": "34759936"}, {"ref": "ethansilvas/amex-generate-features", "kernel_id": "34736638"}, {"ref": "nikitadubey/americanexpress-default", "kernel_id": "34849171"}, {"ref": "rajkachhadiya/american-express-default-prediction", "kernel_id": "34620203"}, {"ref": "afonsoalveskggl/amex01-xplore-data", "kernel_id": "34996384"}, {"ref": "thakshayan/amex-lightgbm-code", "kernel_id": "34030604"}, {"ref": "sarveswarasarma/amex-prediction", "kernel_id": "34167054"}, {"ref": "nirmalgaud/american-express-prediction-analysis", "kernel_id": "34743735"}, {"ref": "uom180643x/notebook158e2b93ab", "kernel_id": "34325342"}, {"ref": "uom180313l/sandalu-karunasena-cs4622-mini-project-180313l", "kernel_id": "34145664"}, {"ref": "godfrey96/amex-prediction-180196d", "kernel_id": "34170642"}, {"ref": "danukadj/notebookcproject3", "kernel_id": "34192649"}, {"ref": "eraikako/credit-card-default-prediction-educational-series", "kernel_id": "35254190"}, {"ref": "dilmurodmadrakhimov/american-express-default-prediction", "kernel_id": "35925768"}, {"ref": "chetanahir/american-express-prediction-analysis", "kernel_id": "35469854"}, {"ref": "ziadhamadafathy/default-prediction-acc-83", "kernel_id": "35152725"}, {"ref": "salomelomsadze/how-to-create-pickle-from-csv", "kernel_id": "35062671"}, {"ref": "maqboolkaxmi/time-series-eda", "kernel_id": "35365800"}, {"ref": "madisonguerra/amex-default-prediction-smote-lgb-and-xgb", "kernel_id": "35953983"}, {"ref": "sohailshaik272/aggreagate-data-xgb-amex", "kernel_id": "36774685"}, {"ref": "viannluo/my-model", "kernel_id": "36954238"}, {"ref": "garysuen/xgboost-default-prediction-score-0-80322", "kernel_id": "36932386"}, {"ref": "mengyuxian233/comp9417", "kernel_id": "36886058"}, {"ref": "acexoul081/xgboost-starter-0-793", "kernel_id": "37622595"}, {"ref": "nilevskaa/eda-amex-final", "kernel_id": "37408080"}, {"ref": "wanyuyang/xg-boost", "kernel_id": "37205291"}, {"ref": "vistokartika/xgboost-starter-0-793", "kernel_id": "38026866"}, {"ref": "vistokartika/xgboost-starter-tsfresh", "kernel_id": "38119966"}, {"ref": "amitabhpriyadarshi/american-express-default-prediction", "kernel_id": "38275120"}, {"ref": "ucharon/data-analysis-report", "kernel_id": "39054374"}, {"ref": "acchiko/how-to-use-pycaret-3-0-2-offline-environment", "kernel_id": "40308156"}, {"ref": "yairkabakovitch/default-prediction-gradient-boosting-88fca3", "kernel_id": "40391232"}, {"ref": "uom180259b/gene-expression-prediction", "kernel_id": "40187827"}, {"ref": "ishanmk/amex-prediction", "kernel_id": "41753547"}, {"ref": "sachinxshrivastav/credit-card-payment-default-prediction", "kernel_id": "42614896"}, {"ref": "longtv/amex-credit-score-model-long-dataplatform", "kernel_id": "42373068"}, {"ref": "agarwalvishal00/american-express-credit-card-fraud-detection", "kernel_id": "42039752"}, {"ref": "ahmecse/decisiontreeclassifier-starter-0-93", "kernel_id": "42271907"}, {"ref": "parisazareapour/credit-default-prediction-eda", "kernel_id": "42409726"}, {"ref": "eraikako/unlocking-insights-eda-practices-of-top-kagglers", "kernel_id": "43607400"}, {"ref": "nickmle/amex-default-prediction-eda-lgbm-baseline", "kernel_id": "43440192"}, {"ref": "mandmdatascience/learn-tabular-classification-w-amex-competition", "kernel_id": "43673470"}, {"ref": "mudeyhassan/notebook5c1409481b", "kernel_id": "43348023"}, {"ref": "afonsoalveskggl/amex02-feat-eng", "kernel_id": "44611405"}, {"ref": "afonsoalveskggl/amex04-lgbm-v1", "kernel_id": "45629459"}, {"ref": "afonsoalveskggl/amex03-lgbm-baseline", "kernel_id": "45263554"}, {"ref": "aayukharbanda/notebook6024a539cb", "kernel_id": "45360713"}, {"ref": "wesleyrodriguessousa/1st-attempt-at-american-express-challenge", "kernel_id": "46481340"}, {"ref": "wesleyrodriguessousa/tuffline-amex-anotherfeaturelgbm", "kernel_id": "46509647"}, {"ref": "wesleyrodriguessousa/amex-features-the-best-of-both-worlds", "kernel_id": "46006354"}, {"ref": "karunru/rapids-rmm-kaggle-advent-calendar-2023", "kernel_id": "47831723"}, {"ref": "uom200199t/amex-default-prediction", "kernel_id": "47020345"}, {"ref": "siyuzhao123/xgboost-starter-0-793", "kernel_id": "47810560"}, {"ref": "nikolabareti/zadnja-verzija", "kernel_id": "49924666"}, {"ref": "foocheechuan/amex-default-prediction-improvement", "kernel_id": "51012359"}, {"ref": "fauzanmohammed/term-project-intro-to-ml", "kernel_id": "51899356"}, {"ref": "shweta0812/amexdp-dataset-prep", "kernel_id": "51979097"}, {"ref": "shweta0812/amexd-train-and-inference", "kernel_id": "52657137"}, {"ref": "shweta0812/amexdp-eda", "kernel_id": "52087149"}, {"ref": "shubham246763/amex-kaggle", "kernel_id": "52587774"}, {"ref": "harshkakani/amex-credit-risk", "kernel_id": "53425277"}, {"ref": "younessiyar/american-express", "kernel_id": "53365551"}, {"ref": "zionnew/how-to-make-a-submission", "kernel_id": "54751383"}, {"ref": "duytrn2303/nhom99-btl", "kernel_id": "55679428"}, {"ref": "hyunseongyang/besties-amex-notebook", "kernel_id": "56577766"}, {"ref": "hyunseongyang/besties-amex-notebook-2", "kernel_id": "57471949"}, {"ref": "hyunseongyang/besties-amex-notebook-3", "kernel_id": "57727990"}, {"ref": "hyunseongyang/besties-amex-notebook-4", "kernel_id": "58349799"}, {"ref": "eraikako/mastering-tabular-data-classification", "kernel_id": "59202247"}, {"ref": "drmurataltun/c-5-amex-predict-with-spark", "kernel_id": "60572217"}, {"ref": "hyunseongyang/besties-amex-notebook-5", "kernel_id": "60849715"}, {"ref": "santiagogrimoldi/besties-amex-notebook-5", "kernel_id": "61148122"}, {"ref": "matheuscaravalho/american-express-default-prediction", "kernel_id": "62611253"}, {"ref": "matheuscaravalho/default-prediction", "kernel_id": "62419503"}, {"ref": "eraikako/gradient-boosting-explained-ensemble-learning", "kernel_id": "65169170"}, {"ref": "alexandrelemercier/all-best-tabular-classifiers-comparative-study", "kernel_id": "65430377"}, {"ref": "seanlim123/feature-engineering", "kernel_id": "66862521"}, {"ref": "jiweiliu/odsc-hackathon-webinar-demo-notebook-with-t4gpu", "kernel_id": "68028105"}, {"ref": "jiweiliu/odsc-hackathon-webinar-demo-notebook-with-cpu", "kernel_id": "68030688"}, {"ref": "devpatel1901/amex-data-preprocessing", "kernel_id": "68333795"}, {"ref": "devpatel1901/amex-initial-visualization", "kernel_id": "68319379"}, {"ref": "pierosarmientoayala/ppd-tf-grupo3", "kernel_id": "68033030"}, {"ref": "robgordon2077/prototype-for-amex", "kernel_id": "68600285"}, {"ref": "alexanderkireev/04-ml-trainings-nlp", "kernel_id": "70487269"}, {"ref": "jvthunder/amex-data-int-types-train", "kernel_id": "71314552"}, {"ref": "angellofalla/dddraft", "kernel_id": "71746458"}, {"ref": "lilyguess/recommendation-knn-word2vec", "kernel_id": "71264553"}, {"ref": "marcelinosutanto/notebookc8017e733d", "kernel_id": "71354233"}, {"ref": "pierosarmientoayala/ppd-tf-grupo3-secuencial", "kernel_id": "71736071"}, {"ref": "pierosarmientoayala/ppd-analisis-escalabilidad", "kernel_id": "71772543"}, {"ref": "chinnny/amex-prediction-group", "kernel_id": "72295042"}, {"ref": "kshitiztiwari/base-level-data-engineering-and-file-load", "kernel_id": "73264042"}, {"ref": "charansv/amex-gnn-final", "kernel_id": "73678226"}, {"ref": "charansv/amex-train-data-cleaned", "kernel_id": "73126359"}, {"ref": "charansv/aemx-graph", "kernel_id": "73259896"}, {"ref": "thuggilisaireddy/credit-default-prediction", "kernel_id": "75244591"}, {"ref": "perotti/amex-keras-quickstart-1-training", "kernel_id": "80859826"}, {"ref": "dd7967rit/amex-bana", "kernel_id": "80937557"}, {"ref": "junqiuan/amex-lgbm", "kernel_id": "81345324"}, {"ref": "faheem113141/xgboost-starter-0-793", "kernel_id": "81528323"}, {"ref": "faheem113141/customer-default-prediction", "kernel_id": "81527061"}, {"ref": "opticphantom/americanexpress-project", "kernel_id": "81794619"}, {"ref": "eugeniapoon/xgboost-default-prediction-score-0-80322", "kernel_id": "81384605"}, {"ref": "wangminjen/sc4000-group-project-model-training", "kernel_id": "81283541"}, {"ref": "vaishnavjanesh12/notebook1c21cd147e", "kernel_id": "81255622"}, {"ref": "nitishpoosarla/notebookad84b97232", "kernel_id": "81275503"}, {"ref": "samiulshuvo/tensorflow-transformer", "kernel_id": "82793482"}, {"ref": "pauljkk/thesis-code-amex", "kernel_id": "82092590"}, {"ref": "elifaydogn/amex-eda", "kernel_id": "82429590"}, {"ref": "nickybc/capstone-project", "kernel_id": "83660804"}, {"ref": "aswathkumares/american-express-default-prediction", "kernel_id": "87780360"}, {"ref": "sitanshu08/amex-credit-score-model", "kernel_id": "90224037"}, {"ref": "akashgir18/amex-credit-default-prediction", "kernel_id": "90128798"}, {"ref": "sc4000ntu/xgboost-starter-0-793-d786ef", "kernel_id": "91630303"}, {"ref": "jamietannn/notebook06e07a5bbf", "kernel_id": "92730957"}, {"ref": "mazulwandilenondiza/credit-card-default-eda", "kernel_id": "93064099"}, {"ref": "dmytrokolisnyk/notebook059ce88460", "kernel_id": "93372412"}, {"ref": "vasylmoisieiev/pre-aggregate-data-set", "kernel_id": "93446242"}, {"ref": "cbarkinozer/american-express-base-solution-79", "kernel_id": "94291816"}, {"ref": "uom180183k/notebookc6f6996766", "kernel_id": "94662573"}, {"ref": "uom180183k/notebook-chehara", "kernel_id": "94663501"}, {"ref": "uom180183k/notebook-bawantha", "kernel_id": "94663626"}, {"ref": "uom180183k/notebook-navod", "kernel_id": "94663654"}, {"ref": "uom180183k/notebook-ravindu", "kernel_id": "94663706"}, {"ref": "briantey/sc4000", "kernel_id": "95157862"}, {"ref": "uthamvenkatesh/amex-data", "kernel_id": "95084600"}, {"ref": "andrewauau/notebook5f1ef0ecda", "kernel_id": "98412333"}, {"ref": "nithilanm/amex-tabnetclassifier-feature-eng", "kernel_id": "99922044"}, {"ref": "kuqianyu/notebook350fdcbe1a", "kernel_id": "99699179"}, {"ref": "thedarkphoenix/amex-default-prediction", "kernel_id": "100203176"}, {"ref": "e0xextazy/automl-eda", "kernel_id": "103646185"}, {"ref": "e0xextazy/automl-solution", "kernel_id": "103669256"}, {"ref": "poshitagour/notebook006244e260", "kernel_id": "103109916"}, {"ref": "e0xextazy/my-solution-automl", "kernel_id": "104426288"}, {"ref": "poshitagour/notebook41d7411ff0", "kernel_id": "104798516"}, {"ref": "igorlazarev/amex-default-prediction-train-to-parquet", "kernel_id": "106615868"}, {"ref": "aleksandrnam/amex-prediction", "kernel_id": "112021641"}, {"ref": "kemaldemirba/credit-sentinel-ai", "kernel_id": "112588155"}, {"ref": "bpsantiagoa/notebook66c3c0008b", "kernel_id": "112096667"}, {"ref": "uddipanb/notebook10cc9d9295", "kernel_id": "120422899"}, {"ref": "mdshafayeturrahman/amex-memory-optimized-end-to-end-ml-pipeline", "kernel_id": "124198090"}, {"ref": "bowentian6/notebook2ed48dbd63", "kernel_id": "129822424"}, {"ref": "kanaknath/amex-project", "kernel_id": "130410770"}, {"ref": "vaibhavgupta0010/xgboost-starter-0-793", "kernel_id": "131653163"}, {"ref": "zhaotianlong92/amex-lightgbm-gbdt-dart-ensemble-t17", "kernel_id": "135970047"}]}
{"competition_id": "35340", "kernels": [{"ref": "alexryzhkov/rdc-22-lightautoml-baseline", "kernel_id": "25697078"}, {"ref": "docxian/2022-regression-data-challenge-eda", "kernel_id": "25460808"}, {"ref": "akmalmir/no-machine-learning-just-interpolate", "kernel_id": "25949331"}, {"ref": "omarvivas/cbmodelrdc-v1", "kernel_id": "25482642"}, {"ref": "omarvivas/xgbmodel-rdc-v1", "kernel_id": "25483765"}, {"ref": "omarvivas/lgbm-rdc", "kernel_id": "25480195"}, {"ref": "omarvivas/torchrdc", "kernel_id": "25479529"}, {"ref": "shubhamsoni07/2022-regression-data-challenge", "kernel_id": "25469606"}, {"ref": "cabaxiom/rdc-22-data-leakage-and-starter-notebook", "kernel_id": "25615775"}, {"ref": "suchighurka/2022-regression-detailed-eda-starter", "kernel_id": "25592926"}, {"ref": "abhishek123maurya/medical-score-predictor", "kernel_id": "26303123"}, {"ref": "marwanekhadrouf/2022-regression-data-challenges-contribution", "kernel_id": "27246781"}, {"ref": "ayanotemitope/medical-condition-scoring-system", "kernel_id": "32529818"}, {"ref": "pradeepsapparapu/prediction-medical-condition", "kernel_id": "37130414"}]}
{"competition_id": "35347", "kernels": [{"ref": "pavel231299/voice-classification", "kernel_id": "26649205"}]}
{"competition_id": "35354", "kernels": []}
{"competition_id": "35361", "kernels": []}
{"competition_id": "35364", "kernels": []}
{"competition_id": "35366", "kernels": [{"ref": "sshikamaru/notebook1e6b318625", "kernel_id": "25739084"}]}
{"competition_id": "35367", "kernels": []}
{"competition_id": "35371", "kernels": [{"ref": "azwan92/table-fan-dilemma", "kernel_id": "25701474"}, {"ref": "shreyasbhat12/headstart", "kernel_id": "25608119"}, {"ref": "shreyasbhat12/sample-notebook", "kernel_id": "25602898"}, {"ref": "abhishek123maurya/the-table-fan-dilemma", "kernel_id": "25697514"}, {"ref": "abhishek123maurya/daily-life-logic", "kernel_id": "25957166"}]}
{"competition_id": "35373", "kernels": []}
{"competition_id": "35376", "kernels": []}
{"competition_id": "35384", "kernels": []}
{"competition_id": "35385", "kernels": []}
{"competition_id": "35390", "kernels": []}
{"competition_id": "35401", "kernels": []}
{"competition_id": "35407", "kernels": []}
{"competition_id": "35410", "kernels": []}
{"competition_id": "35420", "kernels": [{"ref": "haileythanki/congressionaltweets-haileyt-siddharths", "kernel_id": "25673220"}]}
{"competition_id": "35421", "kernels": []}
{"competition_id": "35427", "kernels": []}
{"competition_id": "35429", "kernels": [{"ref": "eduardofarina/welcome-to-the-competition-eda", "kernel_id": "25881777"}, {"ref": "ibombonato/x-ray-body-part-classification-fastai-starter", "kernel_id": "26185205"}, {"ref": "ibombonato/unifesp-x-ray-extract-dicom-metadata", "kernel_id": "26031513"}, {"ref": "ibombonato/x-ray-body-images-dicom-to-png-unifesp", "kernel_id": "26105444"}, {"ref": "vafaknm/x-ray-body-part-classification-using-custom-cnn", "kernel_id": "26557091"}, {"ref": "karkisa/lightning-dcm-classification-n1", "kernel_id": "26726148"}, {"ref": "waynewhying/unifesp-x-ray-body-transferlearning-efficientnet", "kernel_id": "26833140"}, {"ref": "alexanderyyy/xraybodyparts-fastai", "kernel_id": "27450131"}, {"ref": "amss10/x-ray-classifier-1", "kernel_id": "28295277"}, {"ref": "gbalachandhiran/preparation-of-data-and-training", "kernel_id": "28782376"}, {"ref": "asheniranga/unifesp-x-ray-body-part-classifier-dataset", "kernel_id": "28900169"}, {"ref": "thomasdubail/x-ray-body-part-dataset", "kernel_id": "28788306"}, {"ref": "thomasdubail/x-ray-bodypart-tensorflow", "kernel_id": "28822923"}, {"ref": "jessekatz179/xray-jkatz", "kernel_id": "28656574"}, {"ref": "antoineedelman/xray-jkatz-aede", "kernel_id": "28814259"}, {"ref": "asheniranga/unifesp-x-ray-body-part-classifier-training", "kernel_id": "29016717"}, {"ref": "usamabalochhh/x-ray-bodypart-prediction-eda-cnn", "kernel_id": "29071517"}, {"ref": "jonasalexis/x-ray-body-part-classification-using-custom-cnn-2", "kernel_id": "29330728"}, {"ref": "none123455555/decode-jpeg2000-dicom-with-dali", "kernel_id": "35806952"}, {"ref": "mohamedolwan/unifesp-x-ray-body-part-classifier-training", "kernel_id": "106478005"}]}
{"competition_id": "35430", "kernels": []}
{"competition_id": "35432", "kernels": [{"ref": "bnhkid/tf-keras-conv-dense-solution", "kernel_id": "25656889"}, {"ref": "johndyrclassics/john-bashar", "kernel_id": "26036302"}]}
{"competition_id": "35436", "kernels": [{"ref": "augustosarquisserpa/creating-train-val-splits-and-loading-the-data", "kernel_id": "26459076"}]}
{"competition_id": "35439", "kernels": []}
{"competition_id": "35446", "kernels": []}
{"competition_id": "35448", "kernels": [{"ref": "joheras/envio-ia2122", "kernel_id": "25592842"}]}
{"competition_id": "35453", "kernels": [{"ref": "deliveryreport/starter-nbook", "kernel_id": "26933630"}]}
{"competition_id": "35461", "kernels": []}
{"competition_id": "35464", "kernels": []}
{"competition_id": "35467", "kernels": [{"ref": "yassafareed/simple-baseline", "kernel_id": "25649330"}, {"ref": "ammarabbasi1040/procom22-1040", "kernel_id": "25690325"}, {"ref": "waleedgul/procom22", "kernel_id": "25700956"}]}
{"competition_id": "35471", "kernels": [{"ref": "abanobmorgan/vehicle-plates-number-recognition", "kernel_id": "25671920"}, {"ref": "hebaatef/egyptian-license-plate-recognizer", "kernel_id": "25694608"}, {"ref": "mostafakhidr/final-model", "kernel_id": "25779076"}, {"ref": "yahia3200/using-cnn-for-plate-characters-recognition", "kernel_id": "45007931"}, {"ref": "yahia3200/car-plate-characters-recognition-with-yolo", "kernel_id": "47193370"}, {"ref": "alyalsayed/egyptian-car-plates-ocr", "kernel_id": "50882039"}, {"ref": "aravindsathishan/numberplate", "kernel_id": "63960549"}, {"ref": "ahmedabdelghagny/plate-cropping-using-yolo", "kernel_id": "67724218"}, {"ref": "ahmedabdelghagny/egyptian-car-plates-yolov11-fine-tuned-easyocr", "kernel_id": "67922493"}, {"ref": "ahmedashrafhelmi/egyptian-car-plates-yolov11-fine-tuned-easyocr", "kernel_id": "67735624"}, {"ref": "ahmedabdelghagny/egyptian-license-plates-yolov11-fine-tuned-easyocr", "kernel_id": "68481686"}, {"ref": "youssefalamgad/egyptian-license-plates-yolov11-fine-tuned-easyocr", "kernel_id": "78264454"}, {"ref": "youssefalaaledin556/notebook29c53b3374", "kernel_id": "81593463"}, {"ref": "ahmedmaher5036/egyptian-car-plates-yolov11-fine-tuned-easyocr", "kernel_id": "92522319"}, {"ref": "abdalrhmanmahmoud/egyptian-car-plates-yolov11-fine-tuned-ea-533f42", "kernel_id": "101329496"}, {"ref": "abdullahahmed98/egyptian-license-plate-character-detection", "kernel_id": "118586174"}]}
{"competition_id": "35472", "kernels": []}
{"competition_id": "35476", "kernels": [{"ref": "sudalairajkumar/flm-additional-match-pairs-data", "kernel_id": "26282524"}, {"ref": "samarthagarwal23/which-features-are-imp-for-poi-match", "kernel_id": "26327130"}, {"ref": "prawinprof/foursquare-exploratory-data-analysis", "kernel_id": "26871304"}, {"ref": "aerdem4/foursquare-rapids-xgb-inference", "kernel_id": "26390327"}, {"ref": "aerdem4/foursquare-cat2vec", "kernel_id": "26636646"}, {"ref": "aerdem4/foursquare-gpu-accelerated-lofo-feature-importance", "kernel_id": "26810542"}, {"ref": "ttahara/fsq-lm-self-match-only-baseline", "kernel_id": "26871811"}, {"ref": "ttahara/fsq-lm-get-country-name-by-pycountry", "kernel_id": "26962927"}, {"ref": "santoshkumar/1-eda-for-foursquare-location-matching", "kernel_id": "26636136"}, {"ref": "cv13j0/location-matching-starter-model", "kernel_id": "26652679"}, {"ref": "robikscube/foursquare-convert-train-data-to-parquet", "kernel_id": "26406195"}, {"ref": "robikscube/foursquare-location-matching-eda-twitch-stream", "kernel_id": "26405323"}, {"ref": "david26694/flm-additional-match-and-non-match-pairs-data", "kernel_id": "26495841"}, {"ref": "utkarshshukla2912/foursquare-rf-with-haversine", "kernel_id": "26725576"}, {"ref": "utkarshshukla2912/foursquare-rf-with-string-features-with-haversine", "kernel_id": "26675866"}, {"ref": "hengzheng/distance-and-category-hard-match-baseline", "kernel_id": "26288871"}, {"ref": "ragnar123/flm-xlmroberta-inference-baseline", "kernel_id": "26978599"}, {"ref": "andypenrose/spatial-neighbours-benchmark-name-and-category", "kernel_id": "26331203"}, {"ref": "thedrcat/foursquare-questions-about-data", "kernel_id": "26513707"}, {"ref": "jacob34/all-positive-pairs", "kernel_id": "26399159"}, {"ref": "jacob34/all-true-pairs-coordinate-distances", "kernel_id": "26534779"}, {"ref": "hidehisaarai1213/foursquare-eda-distance-distribution-variation", "kernel_id": "26794000"}, {"ref": "sorkun/flm-create-samples", "kernel_id": "26393108"}, {"ref": "ananduk1993/foursquare-detailed-eda-analysis", "kernel_id": "26752568"}, {"ref": "arunamenon/eda-modelling-lgb-wgs-84-ellipsoid", "kernel_id": "26535007"}, {"ref": "sgreiner/foursquare-kdtree-editdistance", "kernel_id": "26281205"}, {"ref": "sgreiner/in-sample-scoring-simple-hyperparameter-tuning", "kernel_id": "26353001"}, {"ref": "sgreiner/foursquare-boosting-the-cat", "kernel_id": "26443181"}, {"ref": "takafumitakizawa/make-train-data-knn-and-cross-validation-iou", "kernel_id": "26781176"}, {"ref": "nlztrk/public-0-836-catboost-fast-fe-22-features", "kernel_id": "26887963"}, {"ref": "omarvivas/model-4square-haversian-v1", "kernel_id": "26375517"}, {"ref": "ficklemaverick/generating-new-pairs-of-match-and-mismatch", "kernel_id": "26304240"}, {"ref": "mpwolke/fsq-my-points-of-interest-folium-markers", "kernel_id": "26399289"}, {"ref": "figfiglol/foursquare-turkey-eda-folium", "kernel_id": "26363635"}, {"ref": "columbia2131/foursquare-iou-metrics", "kernel_id": "26280369"}, {"ref": "columbia2131/foursquare-sampling-600k-in-train-csv", "kernel_id": "26382539"}, {"ref": "dinowun/eda-simplified-foursquare-location-matching", "kernel_id": "26411657"}, {"ref": "b11gden/location-matching", "kernel_id": "26691649"}, {"ref": "b11gden/inference-location", "kernel_id": "26723771"}, {"ref": "ryotayoshinobu/foursquare-lightgbm-baseline", "kernel_id": "26456377"}, {"ref": "tensorchoko/foursquare-eda-en-jp", "kernel_id": "26477262"}, {"ref": "samyukthamobile/find-matching-location-5-mins", "kernel_id": "26926742"}, {"ref": "sanjaylalwani/haversine-distance-pairs-data-foursquare", "kernel_id": "26631825"}, {"ref": "mviola/foursquare-location-matching-eda-with-rapids", "kernel_id": "26745177"}, {"ref": "nayakroshan/understanding-intersection-over-union", "kernel_id": "26303317"}, {"ref": "remekkinas/eda-and-additional-feat-distance-adress-zip", "kernel_id": "26278306"}, {"ref": "debarshichanda/pytorch-w-b-foursquare-starter", "kernel_id": "26313811"}, {"ref": "bhavinmoriya/flm-additional-match-pairs-data", "kernel_id": "26395061"}, {"ref": "tsurakitani/embed-use-ttani-test", "kernel_id": "26929648"}, {"ref": "tanlocnguyen/category-embedding-with-attention-foursquare", "kernel_id": "26470364"}, {"ref": "foolishboi/foursquare-simple-eda", "kernel_id": "26284715"}, {"ref": "edwintyh/foursquare-starter-eda", "kernel_id": "26274650"}, {"ref": "locbaop/foursquare-xgboost-custom-inference-baseline", "kernel_id": "26687287"}, {"ref": "lennarthaupts/fsq-spatial-neighbours-rule-based-benchmark", "kernel_id": "26326106"}, {"ref": "lennarthaupts/mapping-the-relatedness-of-categories", "kernel_id": "26425720"}, {"ref": "jimkaihuang/location-matching-siamese-network", "kernel_id": "26901808"}, {"ref": "bitlcc/arcface-for-foursquare-location-matching", "kernel_id": "26842795"}, {"ref": "shashimo/foursquare-eda-and-submit", "kernel_id": "26287220"}, {"ref": "shashimo/foursquare-calculate-distance-with-geopy", "kernel_id": "26311849"}, {"ref": "shashimo/foursquare-simple-baseline-with-only-for-loops", "kernel_id": "26304577"}, {"ref": "lunapandachan/foursquare-eda-sentence-bert", "kernel_id": "26552623"}, {"ref": "pjmathematician/foursquare-rapids-xgb-inference-spatial-kdtree", "kernel_id": "26435798"}, {"ref": "pjmathematician/foursquare-training-on-the-pairs-database", "kernel_id": "26358798"}, {"ref": "pjmathematician/matching-based-on-nearest-location", "kernel_id": "26275114"}, {"ref": "pjmathematician/foursquare-baseline", "kernel_id": "26280892"}, {"ref": "tcarloscn/unify-city-names-and-fill-nan", "kernel_id": "26448167"}, {"ref": "cbeaud/foursquare-lm-rapids-xgb-inference", "kernel_id": "26415082"}, {"ref": "cbeaud/spatial-neighbours-benchmark-name-and-category", "kernel_id": "26354751"}, {"ref": "zenone/foursquare", "kernel_id": "26390788"}, {"ref": "takoihiraokazu/bert-base-multilingual", "kernel_id": "27156883"}, {"ref": "takoihiraokazu/exp038-ex059-sub-fold2-all-distance-miss-gb-debug", "kernel_id": "27559895"}, {"ref": "takoihiraokazu/xlm-roberta-large", "kernel_id": "27683351"}, {"ref": "takoihiraokazu/xlm-roberta-base", "kernel_id": "27671549"}, {"ref": "takoihiraokazu/mdeberta-base", "kernel_id": "27759211"}, {"ref": "victorasso/fork-of-foursquare-location-matches-hex-68fccf", "kernel_id": "27193507"}, {"ref": "plarmuseau/poi-distribution-error", "kernel_id": "27197103"}, {"ref": "hengzheng/reverse-geocoder-pip-download", "kernel_id": "27935479"}, {"ref": "tarique7/foursq-binary-lgb-baseline-0-85", "kernel_id": "27679738"}, {"ref": "cenzop/fuzzy-matcher-r-notebook", "kernel_id": "27523857"}, {"ref": "nadare/w2v-haversine-nn-baseline-training-inference", "kernel_id": "27862831"}, {"ref": "sgreiner/foursquare-simple-semantic-cat-similarity", "kernel_id": "27447044"}, {"ref": "zakopur0/foursquare-catboost-baseline", "kernel_id": "27726312"}, {"ref": "avivlevi815/just-a-dumb-baseline-only-same-lat-lng", "kernel_id": "27164191"}, {"ref": "nlztrk/public-0-861-pykakasi-radian-coordinates", "kernel_id": "27676199"}, {"ref": "gabrielbchacon/fork-of-foursquare-location-matches-hex-lda", "kernel_id": "27155693"}, {"ref": "gabrielbchacon/full-foursquare-location-matches", "kernel_id": "27265092"}, {"ref": "guoyonfan/simple-recall-method", "kernel_id": "27524162"}, {"ref": "guoyonfan/improved-binary-lgb-baseline-0-839", "kernel_id": "27585844"}, {"ref": "guoyonfan/training-data-for-binary-lgb-baseline-0-834", "kernel_id": "27121182"}, {"ref": "guoyonfan/binary-lgb-baseline-0-834", "kernel_id": "27096407"}, {"ref": "peltor/leakage-only", "kernel_id": "27003158"}, {"ref": "columbia2131/flm-xlm-roberta-base", "kernel_id": "27178521"}, {"ref": "vincentschuler/fsq-uniform-city-and-states", "kernel_id": "27390689"}, {"ref": "vincentschuler/fsq-dist-quantiles-by-category", "kernel_id": "27506900"}, {"ref": "vincentschuler/fsq-group-category-and-fill-missing-categories", "kernel_id": "27113272"}, {"ref": "frankmollard/rapids-dbscan", "kernel_id": "27037868"}, {"ref": "damoonshahhosseini/modeling", "kernel_id": "27021266"}, {"ref": "whoishoo/foursquare-lightgbm-baseline", "kernel_id": "27805148"}, {"ref": "markwijkhuizen/foursquare-lightgbm-features-training-inference", "kernel_id": "27814928"}, {"ref": "markwijkhuizen/foursquare-16m-train-pairs-generation", "kernel_id": "27781437"}, {"ref": "markwijkhuizen/foursquare-use-mpnet-name-embeddings", "kernel_id": "27768874"}, {"ref": "negoto/fsq-name-variants-and-other-languages", "kernel_id": "27735541"}, {"ref": "tomyanabe/4sq-ctr2idx", "kernel_id": "27879497"}, {"ref": "akashmathur2212/quick-analysis-on-foursquare", "kernel_id": "27866873"}, {"ref": "tatamikenn/4sq-visualize-size-of-pois-in-japan", "kernel_id": "27957560"}, {"ref": "tatamikenn/4sq-visualize-size-of-pois-in-the-world", "kernel_id": "27983674"}, {"ref": "tatamikenn/4sq-countries-not-existent-on-iso3166", "kernel_id": "27897468"}, {"ref": "dongkyunkim/simple-silver-solution-foursquare-inference", "kernel_id": "27206293"}, {"ref": "karakasatarik/reduce-training-memory-with-higher-iou-0-9325", "kernel_id": "27672668"}, {"ref": "harukiyasui/eda-japanese", "kernel_id": "27979040"}, {"ref": "junjitakeshima/fsq-tfidf-and-name-similarity-eng", "kernel_id": "27645580"}, {"ref": "jimkaihuang/location-matching-submission-siamese-network", "kernel_id": "27151817"}, {"ref": "jimkaihuang/location-matching-improved-siamese-network", "kernel_id": "27268875"}, {"ref": "lunapandachan/foursquare-s-bert-labo-note", "kernel_id": "27219306"}, {"ref": "lunapandachan/foursquare-s-bert-128fold-train", "kernel_id": "27597941"}, {"ref": "roniheka/convert-japanese-texts-into-alphabet-precisely", "kernel_id": "27230182"}, {"ref": "lzx932001/2022-s1-cos20083-assignment2-group11", "kernel_id": "27182027"}, {"ref": "capyfara/cos20083-group-fmc", "kernel_id": "27220817"}, {"ref": "wadjihbencheikh/one-shot", "kernel_id": "27596495"}, {"ref": "carywei958/2022-5-18", "kernel_id": "27162653"}, {"ref": "icfstat/lightbm-feature-engineering-single-model", "kernel_id": "28197078"}, {"ref": "icfstat/lightgbm-feature-engineering-training-0-888-pv-lb", "kernel_id": "28941274"}, {"ref": "steubk/flm-xgb-model-inference-45th-place-solution", "kernel_id": "28445057"}, {"ref": "wenbozhao/some-efficient-implementations-foursquare", "kernel_id": "28165232"}, {"ref": "takoihiraokazu/sub-ex73-74-75-ex104-115-90-101-merge-train3", "kernel_id": "28535299"}, {"ref": "pavanbagli/fslm-inference-v2", "kernel_id": "28275773"}, {"ref": "pavanbagli/fslm-inference-v3", "kernel_id": "28316686"}, {"ref": "currypurin/memory-usage-and-measure-the-elapsed-time", "kernel_id": "28593005"}, {"ref": "hengzheng/foursquare-catboost-lightgbm-blend-0617v5", "kernel_id": "28278953"}, {"ref": "chack3/fastlcs", "kernel_id": "28064252"}, {"ref": "yukia18/trm053-xgb-c-tk-rob-c-mlu-y-lgb-r-rob-mlu-l-2", "kernel_id": "28527425"}, {"ref": "yukia18/4sq-train-data-copy-feather", "kernel_id": "28539518"}, {"ref": "nadare/7th-place-solution-inference", "kernel_id": "28557864"}, {"ref": "nadare/7th-place-solution-inference-with-leak", "kernel_id": "28615457"}, {"ref": "kaerunantoka/flm-catboost-sub-067-v2", "kernel_id": "28496965"}, {"ref": "sskknt/en-jp-foursquare-preprocessing-of-jp-zip-code", "kernel_id": "28800919"}, {"ref": "sskknt/eng-eda-it-s-never-too-late-to-do-eda", "kernel_id": "28178576"}, {"ref": "felipefonte99/foursquare-lgb-catboost", "kernel_id": "28343369"}, {"ref": "felipefonte99/foursquare-training-set-in-a-nutshell", "kernel_id": "28209496"}, {"ref": "iiyamaiiyama/fs-inference-no54-spatial-no-country-07045", "kernel_id": "28481549"}, {"ref": "iiyamaiiyama/fs-training-4-ensemble-0705", "kernel_id": "28479450"}, {"ref": "shkanda/foursquare-43th-place-solution", "kernel_id": "28601734"}, {"ref": "shkanda/unsupervised-baseline-curricularface", "kernel_id": "28599397"}, {"ref": "shkanda/pylcs-super-fast-library-to-calculate-lcs", "kernel_id": "28451194"}, {"ref": "abhinavss4/siamese-network-and-knn-tensorflow", "kernel_id": "28224919"}, {"ref": "peltor/leakage-only-use-the-online-version-of-train-csv", "kernel_id": "28601094"}, {"ref": "peltor/foursquare-trivial-submission", "kernel_id": "28601840"}, {"ref": "peltor/how-many-entries-are-duplicated", "kernel_id": "28601330"}, {"ref": "dc5e964768ef56302a32/length-of-train-csv", "kernel_id": "28535446"}, {"ref": "dc5e964768ef56302a32/test-leak", "kernel_id": "28565619"}, {"ref": "taos2000/foursquare-train-data-preprocess", "kernel_id": "28514398"}, {"ref": "taos2000/foursquare-train-data-generation", "kernel_id": "28513792"}, {"ref": "taos2000/foursquare-model-selection", "kernel_id": "28515432"}, {"ref": "tomyanabe/ensemble-xgb-c-bert-c-lb0-941-r-exp053fixthresh", "kernel_id": "28542829"}, {"ref": "tomyanabe/pointselectionoptimize-with-radians-and-order", "kernel_id": "28072957"}, {"ref": "tatamikenn/4sq-submit-union-c-t-l-18-5-7-offline", "kernel_id": "28543778"}, {"ref": "tatamikenn/4sq-submit-combination-offline", "kernel_id": "28540116"}, {"ref": "tatamikenn/4sq-knn-for-training-data-leak-simulation", "kernel_id": "28624327"}, {"ref": "tatamikenn/4sq-leakage-estimation-v2", "kernel_id": "28607448"}, {"ref": "tatamikenn/4sq-trivial-submission", "kernel_id": "28586033"}, {"ref": "tatamikenn/4sq-submission-of-reference-point-for-probing", "kernel_id": "28587571"}, {"ref": "tatamikenn/4sq-leakage-estimation", "kernel_id": "28587396"}, {"ref": "tatamikenn/4sq-leakage-submission-v3", "kernel_id": "28586457"}, {"ref": "tatamikenn/4sq-eda-on-poi", "kernel_id": "28139676"}, {"ref": "karakasatarik/60nn-inference-w-kdtree-58feature-catboost", "kernel_id": "28358441"}, {"ref": "sayamabbas/foursquare-location-matching-analysis", "kernel_id": "28131147"}, {"ref": "tubotubo/tips-measure-exact-execution-time", "kernel_id": "28024718"}, {"ref": "sugataghosh/foursquare-location-matching-xgboost", "kernel_id": "28809393"}, {"ref": "sugataghosh/foursquare-location-matching-knn", "kernel_id": "28799291"}, {"ref": "sugataghosh/foursquare-location-matching-eda", "kernel_id": "28055881"}, {"ref": "sugataghosh/foursquare-location-matching-baseline-modeling", "kernel_id": "28360133"}, {"ref": "sugataghosh/flm-balltree-v7", "kernel_id": "28531536"}, {"ref": "motono0223/install-pykakasi-wo-internet", "kernel_id": "28291053"}, {"ref": "rm1000/improved-lgb-and-catboost", "kernel_id": "28361919"}, {"ref": "chiragtagadiya/poi-matching-fe-string-metric-overview", "kernel_id": "28224927"}, {"ref": "chensun0110/public-0-861-pykakasi-radian-coordinates", "kernel_id": "28134132"}, {"ref": "abdulaminafridi/foresquare-eda", "kernel_id": "28220120"}, {"ref": "roniheka/eliminate-duplicated-pairs", "kernel_id": "28316749"}, {"ref": "tcarloscn/faster-sequencematcher-levenshtein", "kernel_id": "28251375"}, {"ref": "ahmedali058/foursquare-location-matching", "kernel_id": "28104864"}, {"ref": "ahmedali058/foursquare-s-bert", "kernel_id": "28102482"}, {"ref": "fastgogo/improved-binary-lgb-baseline-0-839", "kernel_id": "28183991"}, {"ref": "sumamallapragada/foursquare-gd-analysis", "kernel_id": "28382056"}, {"ref": "cgshimokura/foursquare-eda-predictions-with-pairs-csv-wip", "kernel_id": "28278352"}, {"ref": "joulazas/latitude-and-longitude-encoding-for-arcmargin", "kernel_id": "29409464"}, {"ref": "lennarthaupts/bk-tree-fuzzy-string-matches", "kernel_id": "29146161"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "harpreetrandhawa08/final-exam-cpsc-4830", "kernel_id": "29520560"}, {"ref": "ujansett/foursquare-lightgbm-features-training-inference", "kernel_id": "30729417"}, {"ref": "yrosenthal/notebook27eb728ca8", "kernel_id": "33212750"}, {"ref": "chiyuqaq/location-matching-siamese-network", "kernel_id": "51071127"}]}
{"competition_id": "35481", "kernels": []}
{"competition_id": "35485", "kernels": []}
{"competition_id": "35489", "kernels": []}
{"competition_id": "35504", "kernels": [{"ref": "nickspies/aacc-kaggle-baseline-xgboost", "kernel_id": "26878286"}]}
{"competition_id": "35510", "kernels": []}
{"competition_id": "35511", "kernels": []}
{"competition_id": "35524", "kernels": []}
{"competition_id": "35546", "kernels": [{"ref": "leejinsoo/notebook852fab035f", "kernel_id": "25690680"}]}
{"competition_id": "35561", "kernels": []}
{"competition_id": "35575", "kernels": []}
{"competition_id": "35581", "kernels": [{"ref": "maktas/challenge-train-template-tf2", "kernel_id": "25893531"}, {"ref": "maktas/challenge-test-keras", "kernel_id": "25890884"}, {"ref": "maktas/challenge-train-template-tf2-keras", "kernel_id": "25891652"}, {"ref": "maktas/challenge-train-template-tf1", "kernel_id": "25896941"}]}
{"competition_id": "35594", "kernels": []}
{"competition_id": "35598", "kernels": []}
{"competition_id": "35604", "kernels": []}
{"competition_id": "35606", "kernels": []}
{"competition_id": "35610", "kernels": []}
{"competition_id": "35613", "kernels": [{"ref": "saisandeepraguru/notebook43067fa60a", "kernel_id": "25751338"}, {"ref": "saisandeepraguru/notebookbbaa85ebbf", "kernel_id": "25750039"}]}
{"competition_id": "35628", "kernels": [{"ref": "aarons0/explore-and-probe", "kernel_id": "26639501"}, {"ref": "quanglinhtran/team-lbb-s-solution", "kernel_id": "28055117"}, {"ref": "jalesummak/fashion-and-beauty-nlp", "kernel_id": "111652662"}]}
{"competition_id": "35634", "kernels": [{"ref": "combobreaker/sample-and-baselines-submission", "kernel_id": "25770665"}]}
{"competition_id": "35636", "kernels": []}
{"competition_id": "35637", "kernels": [{"ref": "dursundashdamirov/time-series-forecasting-with-multiple-approaches", "kernel_id": "25897679"}, {"ref": "boyukkhan/eda-prediction", "kernel_id": "26368945"}, {"ref": "alikhaciyev94/fork-of-eda-and-modelling-final-solution", "kernel_id": "26414858"}, {"ref": "adilgahramanov/time-series-forecasting", "kernel_id": "26397045"}, {"ref": "elmirabilov/eda-and-model-elmir-abilov", "kernel_id": "26484827"}, {"ref": "gunelaghakishiyeva/eda-model-gunel-aghakishiyeva", "kernel_id": "26370339"}, {"ref": "alikarimli/ali-karimli-eda-model", "kernel_id": "26559852"}, {"ref": "rufinibrahimov/eda-model", "kernel_id": "26385400"}, {"ref": "toghrulb/babayev-toghrul-eda-forecast", "kernel_id": "26383524"}]}
{"competition_id": "35638", "kernels": []}
{"competition_id": "35640", "kernels": []}
{"competition_id": "35653", "kernels": []}
{"competition_id": "35655", "kernels": []}
{"competition_id": "35661", "kernels": [{"ref": "aliphya/railofy-eda-and-baseline-model", "kernel_id": "28589976"}, {"ref": "muki2003/randomforest-train-confirmation-prediction", "kernel_id": "28621489"}, {"ref": "ltrahul/indian-railway-challenge-2022", "kernel_id": "28618177"}]}
{"competition_id": "35663", "kernels": []}
{"competition_id": "35681", "kernels": []}
{"competition_id": "35684", "kernels": [{"ref": "skyrainwind/hw8-anomaly-detection", "kernel_id": "50947486"}, {"ref": "kk0105/ml-2022-anomaly-detection", "kernel_id": "59686755"}, {"ref": "junkaih2020/hw8-anomaly-detection", "kernel_id": "60937253"}, {"ref": "mindchen/hw8-anomaly-detection-multi-gpu-train", "kernel_id": "61122386"}, {"ref": "lovelivezx/hw8-anomaly-detection-strong-baseline", "kernel_id": "86765285"}]}
{"competition_id": "35685", "kernels": []}
{"competition_id": "35700", "kernels": []}
{"competition_id": "35702", "kernels": []}
{"competition_id": "35704", "kernels": [{"ref": "dschettler8845/example-notebook-dataset-loading-submission", "kernel_id": "26423110"}, {"ref": "dschettler8845/vmwzsir-exploratory-data-analysis", "kernel_id": "26949077"}, {"ref": "edwinrijgersberg/sentencetransformer-msmarco-baseline", "kernel_id": "27057241"}, {"ref": "mpwolke/what-is-zsl-vmware", "kernel_id": "27067668"}, {"ref": "alessandrosolbiati/zero-shot-learning-vmware-text-embedding", "kernel_id": "76413598"}]}
{"competition_id": "35715", "kernels": []}
{"competition_id": "35716", "kernels": [{"ref": "codingmaster24/titanic-machine-learning-from-disaster", "kernel_id": "130406302"}]}
{"competition_id": "35724", "kernels": []}
{"competition_id": "35725", "kernels": [{"ref": "nkstanchev/recommendersystems-hw2-eda", "kernel_id": "26977629"}, {"ref": "tervelvalkov/recommendersystems-hw2-eda", "kernel_id": "26645892"}, {"ref": "tsvetoslavvasev/hw-2-eda", "kernel_id": "26906167"}, {"ref": "arkar1022/fork-of-fastai-lesson-8a-task-2-book", "kernel_id": "63015195"}, {"ref": "estellewwww/fastai-lesson-8a-collaborative-filtering-cc1618", "kernel_id": "63216338"}, {"ref": "marukiiroha/fastai-lesson-8a-collaborative-filtering-cf71dc", "kernel_id": "63217326"}, {"ref": "huskydawg/task-2-fastai-lesson-8a-collaborative-filt", "kernel_id": "63008628"}, {"ref": "chiehyuchenjames/fork-of-fastai-lesson-8a-collaborative-filtering", "kernel_id": "63215885"}, {"ref": "eithinzarphyo/fastai-lesson-8a-collaborative-filtering-ta-a45245", "kernel_id": "63398576"}, {"ref": "guomike/fastai-lesson-8a-collaborative-t2", "kernel_id": "63217239"}, {"ref": "zhouhanwei/task2", "kernel_id": "63641618"}, {"ref": "yufeizhao04/cp3403-prac-task2-zhaoyufei", "kernel_id": "63743022"}, {"ref": "jkaiteo/task-2-prac-9-fastai-lesson-8a-collaborative-filt", "kernel_id": "63023946"}, {"ref": "tin555/fmi-su-fastai-lesson-8a-collaborative-filtering", "kernel_id": "63216826"}, {"ref": "dianabukeikhanova/fastai-lesson-8a-collaborative-filtering-ea71f0", "kernel_id": "63216401"}, {"ref": "tharhtetdennis/fastai-lesson-8a-collaborative-filtering-task-2", "kernel_id": "63217922"}, {"ref": "nawmaythuhan/task-2-of-fast-ai-lesson-8", "kernel_id": "63283789"}, {"ref": "caoshaungli/task2-fastai-lesson-8a-collaborative-filtering", "kernel_id": "63013543"}, {"ref": "diyuyang0929/task-2", "kernel_id": "63397059"}, {"ref": "baolinhvan/fork-of-fastai-lesson-8a-collaborative-filtering", "kernel_id": "63008989"}, {"ref": "tuandn97/fastai-lesson-8a-collaborative-filtering-task-2", "kernel_id": "63010560"}, {"ref": "kuangziye/prac-9-task-2", "kernel_id": "63216663"}, {"ref": "jiehanli/fastai-lesson-8a-collaborative-filtering-cf-bda6e7", "kernel_id": "63490095"}, {"ref": "andrejonathan/fork-of-fastai-lesson-8a-collaborative-filtering", "kernel_id": "63217503"}, {"ref": "xiangwang98/notebook3721ed2a67", "kernel_id": "88461895"}, {"ref": "juninhochandra/fork-of-fastai-lesson-8a-collaborative-filtering", "kernel_id": "88216605"}]}
{"competition_id": "35732", "kernels": []}
{"competition_id": "35735", "kernels": []}
{"competition_id": "35739", "kernels": [{"ref": "kuantinglai/110-2-ai-intro-demo", "kernel_id": "25893385"}]}
{"competition_id": "35743", "kernels": []}
{"competition_id": "35745", "kernels": [{"ref": "kfjack/notebook-lda-demo-2022", "kernel_id": "25903169"}, {"ref": "kfjack/notebook-ann-demo-2022", "kernel_id": "25903481"}]}
{"competition_id": "35752", "kernels": []}
{"competition_id": "35755", "kernels": [{"ref": "mpwolke/smart-homes-time-series", "kernel_id": "26269234"}, {"ref": "gehallak/smart-home-sun-light-and-temperature-room", "kernel_id": "26885637"}, {"ref": "carlmcbrideellis/multivariable-time-series-forecasting-linear-tree", "kernel_id": "27080874"}, {"ref": "hiroshisakiyama/xgboost-time-series-temperature", "kernel_id": "27441041"}, {"ref": "ahmedtoba/ev-model", "kernel_id": "27115936"}, {"ref": "ahmedtoba/lgbm-knn-xgb-eda", "kernel_id": "27251524"}, {"ref": "pavankumar20/temperature-forecasting-analysis", "kernel_id": "27481785"}, {"ref": "pavankumar20/temperature-forecasting-analysis-part2", "kernel_id": "27801762"}, {"ref": "gehallak/temperature-variations", "kernel_id": "27072320"}, {"ref": "cbeaud/smart-home-s-temperature-evalml", "kernel_id": "27076663"}, {"ref": "rinichristy/bi-uni-lstm-rnns-for-temperature-forecasting", "kernel_id": "28413246"}, {"ref": "rinichristy/multivariate-fbprophet-smart-homes-temperature", "kernel_id": "28386653"}, {"ref": "rinichristy/gam-for-predicting-indoor-temperature", "kernel_id": "28987130"}, {"ref": "dianalaveena/smart-home-temperature-predictions-lstm-lstm", "kernel_id": "28183763"}, {"ref": "bouyakhsainekhadija/temperature-predictions-lstm-smart-home", "kernel_id": "31830077"}, {"ref": "guohaoming/sdse-rnns-for-temperature-forecasting", "kernel_id": "32984111"}, {"ref": "anshsingh013/bi-uni-lstm-rnns-for-temperature-forecasting", "kernel_id": "47457911"}, {"ref": "tinthng/temperature-forecasting-2-8", "kernel_id": "57075243"}, {"ref": "lincongwu/gam-for-predicting-indoor-temperature", "kernel_id": "86070898"}]}
{"competition_id": "35756", "kernels": []}
{"competition_id": "35760", "kernels": [{"ref": "kushubhai/cat-and-dog-classification", "kernel_id": "83943142"}, {"ref": "shubhamsatbhaiya/notebook09b0944d71", "kernel_id": "87250326"}, {"ref": "raghum00rthy/cnn-s", "kernel_id": "87307262"}, {"ref": "prabhavkanneganti/notebook09b0944d71", "kernel_id": "87307242"}, {"ref": "samvelgalstyan/cats-and-dogs-transferlearning", "kernel_id": "113484976"}]}
{"competition_id": "35763", "kernels": []}
{"competition_id": "35776", "kernels": [{"ref": "daniil915/notebook5bdc5fa00d", "kernel_id": "25934539"}]}
{"competition_id": "35779", "kernels": [{"ref": "robikscube/smartphone-competition-2022-twitch-stream", "kernel_id": "26752399"}, {"ref": "aliphya/where-does-this-road-take-me", "kernel_id": "26818435"}, {"ref": "ilyaryabov/pytorch-model-for-correcting-results-of-gsdc2", "kernel_id": "26842173"}, {"ref": "dienhoa/where-is-my-phone-kalman-filter-optuna", "kernel_id": "26997426"}, {"ref": "ollibolli/simple-exploration-adapted-from-last-year", "kernel_id": "26841722"}, {"ref": "mpwolke/i-lost-my-gps", "kernel_id": "26748849"}, {"ref": "queyrusi/orientation-filter-stop-prediction-with-imu", "kernel_id": "26949857"}, {"ref": "columbia2131/gsdc2-phones-mean-but-test-isn-t-improved", "kernel_id": "26746201"}, {"ref": "saitodevel01/gsdc2-baseline-submission", "kernel_id": "26749165"}, {"ref": "carlmcbrideellis/animating-the-path-of-a-smartphone-gps-signal", "kernel_id": "26763825"}, {"ref": "carlmcbrideellis/smartphone-2022-a-look-at-the-ground-truth-maps", "kernel_id": "26750303"}, {"ref": "tensorchoko/google-smartphone-2022-eda-en-jp", "kernel_id": "26764258"}, {"ref": "timeverett/getting-started-with-rtklib", "kernel_id": "26870247"}, {"ref": "foolishboi/gsdc22-eda-mapping", "kernel_id": "26762923"}, {"ref": "ravishah1/gsdc2-savgol-filter-outlier-removal-with-bo", "kernel_id": "26755115"}, {"ref": "barrygo/gsdc2022", "kernel_id": "26931638"}, {"ref": "rsobtt/simple-lightgbm", "kernel_id": "26746477"}, {"ref": "rsobtt/gsdc2-not-smooth-device-gnss-csv", "kernel_id": "26812755"}, {"ref": "ayushjain001/google-smartphone-decimeter-challenge-gsdc-2022", "kernel_id": "26966100"}, {"ref": "lunapandachan/google-smartphone-eda", "kernel_id": "26818549"}, {"ref": "aleksandrmorozov123/google-smartphone-decimeter-challenge-2022", "kernel_id": "26769236"}, {"ref": "saurabhbagchi/carrier-smoothing-robust-wls-kalman-smootherv2", "kernel_id": "27614686"}, {"ref": "junkoda/wls-velocity-estimation-from-doppler-shift", "kernel_id": "27119543"}, {"ref": "junkoda/deriving-baseline-wls-positions-in-progress", "kernel_id": "27047750"}, {"ref": "jimitshah777/rnn-bi-lstm-using-keras-for-gsdc-22-starter", "kernel_id": "27063810"}, {"ref": "adisrw/visualization-public-and-private-analysis", "kernel_id": "27168381"}, {"ref": "itrieu/gsdc2-data-analysis", "kernel_id": "27988015"}, {"ref": "kthimuo/2022-reproducing-baseline-wls-on-one-measurement", "kernel_id": "27391778"}, {"ref": "mehrankazeminia/gsdc22-coordinate-with-nearestneighbors", "kernel_id": "27857916"}, {"ref": "timeverett/getting-started-with-rtklib-py", "kernel_id": "27113167"}, {"ref": "dehokanta/visualize-public-and-private-trips", "kernel_id": "27147433"}, {"ref": "taroz1461/carrier-smoothing-robust-wls-kalman-smoother", "kernel_id": "27559305"}, {"ref": "jaafarmahmoud1/carrier-smoothing-robust-wls-kalman-smootherv2", "kernel_id": "27708955"}, {"ref": "aleksandrmorozov123/r-language-google-sp-decimeter-challenge-2022", "kernel_id": "27057035"}, {"ref": "butterflying110/view-all-paths", "kernel_id": "27167832"}, {"ref": "ruslanbredun/google-smartphone-decimeter-challenge-2022", "kernel_id": "27036146"}, {"ref": "shariful07/gsd-challenge-2022-prediction", "kernel_id": "27190006"}, {"ref": "rishoban/gnssrocessing", "kernel_id": "28358713"}, {"ref": "itrieu/gsdc2-baseline", "kernel_id": "28153871"}, {"ref": "slowlearnermack/gsdc22-coordinate-with-nearestneighbors", "kernel_id": "28893010"}, {"ref": "jbomitchell/tectonic-correction", "kernel_id": "28932356"}, {"ref": "jbomitchell/mapping-2022-01-26-us-mtv-1-xiaomimi8", "kernel_id": "28672819"}, {"ref": "mehrankazeminia/fork-carrier-smoothing-robust-wls-k", "kernel_id": "28173620"}, {"ref": "adyashamohanty/adyasha-graph-cnn-version1", "kernel_id": "28645657"}, {"ref": "tyonemoto/gsdc2-baseline-sub", "kernel_id": "28377060"}, {"ref": "tyonemoto/gnss-kf-vs-gnss-and-imu-ekf", "kernel_id": "28382098"}, {"ref": "taroz1461/some-ground-truths-are-wrong", "kernel_id": "28405888"}, {"ref": "rm1000/improved-coordinate-with-nearestneighbor", "kernel_id": "28912681"}, {"ref": "mohammadnaif/gsdc22-coordinate-with-nearestneighbors", "kernel_id": "28508394"}, {"ref": "cbeaud/gsdc22-coordinate-with-nearestneighbors-v2", "kernel_id": "28787055"}, {"ref": "tanxxx/vote-coordinate-with-nearestneighbor-new", "kernel_id": "28900922"}, {"ref": "jbomitchell/phone-specific-bias-corrections-clipped", "kernel_id": "29022988"}, {"ref": "forcewithme/gsdc2022-get-the-score-on-training-set", "kernel_id": "29236627"}, {"ref": "roniheka/it-is-better-to-average-isrbmeters", "kernel_id": "29192924"}, {"ref": "cbeaud/gsdc22-coordinate-with-nearestneighbors-v3", "kernel_id": "29007144"}, {"ref": "watanabetakahiro/gsdc2022-kalmalfilter", "kernel_id": "30115350"}, {"ref": "kirthiseshadri/team-data-blues-comparing-gnss-and-imu", "kernel_id": "30555121"}, {"ref": "kirthiseshadri/team-data-blues-2022-gnss-and-imu", "kernel_id": "30554639"}, {"ref": "sakinabathool/gnss-smart-phone-tracking", "kernel_id": "31274187"}, {"ref": "sakinabathool/smartphone-tracking-using-gnss-team-54", "kernel_id": "31551478"}, {"ref": "sabeeha22/batch-54", "kernel_id": "31217727"}, {"ref": "sabeeha22/coding", "kernel_id": "31152739"}, {"ref": "pavankalyankolla/arithmetic-and-variables", "kernel_id": "31052056"}, {"ref": "sakinabathool/team-54", "kernel_id": "33665215"}, {"ref": "romschilman/ml-hackathon", "kernel_id": "38011148"}, {"ref": "columbia2131/eda-ecef2blh-and-visualize", "kernel_id": "39778388"}, {"ref": "pollicio/phone-specific-bias-1-corrections-clipped", "kernel_id": "53636283"}, {"ref": "havanduc/test-wls", "kernel_id": "54722133"}, {"ref": "dilith/gsd-challenge-2022-predictions", "kernel_id": "79168932"}, {"ref": "thanhhainguyn/lab-1-time-series", "kernel_id": "118339615"}]}
{"competition_id": "35781", "kernels": []}
{"competition_id": "35782", "kernels": [{"ref": "kacpersolarski/score-0-7995-with-12-lines", "kernel_id": "29436692"}, {"ref": "kentak0928/simple-base-line-with-lightgbm-as-starter", "kernel_id": "29713491"}, {"ref": "rutikachavan/prediction-using-random-forest", "kernel_id": "30730512"}, {"ref": "keenoglanville/simple-bankruptcy-prediction-w-logistic-regression", "kernel_id": "32979591"}, {"ref": "thaonguyentrang/this-is-based-on-the-previous-work-of-kentak0928", "kernel_id": "46059016"}]}
{"competition_id": "35785", "kernels": []}
{"competition_id": "35791", "kernels": []}
{"competition_id": "35797", "kernels": [{"ref": "alexgur/ih-hotel-booking", "kernel_id": "26524032"}]}
{"competition_id": "35798", "kernels": []}
{"competition_id": "35809", "kernels": []}
{"competition_id": "35811", "kernels": []}
{"competition_id": "35815", "kernels": []}
{"competition_id": "35816", "kernels": []}
{"competition_id": "35817", "kernels": []}
{"competition_id": "35818", "kernels": []}
{"competition_id": "35826", "kernels": []}
{"competition_id": "35827", "kernels": []}
{"competition_id": "35832", "kernels": []}
{"competition_id": "35837", "kernels": [{"ref": "juhumbertaf/tutorial-gem-2022", "kernel_id": "26105399"}, {"ref": "corentinbarczyk/optimisation-hyperparam-tre", "kernel_id": "26183896"}, {"ref": "rmiconstans/r-sultat-gem-constans-fabry-ranchon-serre", "kernel_id": "26745048"}, {"ref": "aureliendizarny/fork-of-tutorial-gem-2022", "kernel_id": "27139794"}, {"ref": "klas9802/pytorch-bayes-neural-network-solve", "kernel_id": "34082413"}]}
{"competition_id": "35839", "kernels": []}
{"competition_id": "35846", "kernels": []}
{"competition_id": "35850", "kernels": [{"ref": "sshikamaru/example-notebook", "kernel_id": "26181300"}, {"ref": "lalitboyapati/air-heart-disease-comp", "kernel_id": "26375524"}]}
{"competition_id": "35852", "kernels": []}
{"competition_id": "35853", "kernels": [{"ref": "giosiolas/ails-task-1", "kernel_id": "26007203"}, {"ref": "eleannakouletou/ails-task-1-arbil", "kernel_id": "26174490"}]}
{"competition_id": "35857", "kernels": [{"ref": "leonardogarciadiaz/churn-with-xgboost-in-r", "kernel_id": "26563046"}]}
{"competition_id": "35864", "kernels": []}
{"competition_id": "35887", "kernels": [{"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "ilyaryabov/eda-collecting-training-dataset", "kernel_id": "26986209"}, {"ref": "dschettler8845/ai4code-eda-baseline", "kernel_id": "26986541"}, {"ref": "ryanholbrook/getting-started-with-ai4code", "kernel_id": "26642455"}, {"ref": "ryanholbrook/competition-metric-kendall-tau-correlation", "kernel_id": "26916082"}, {"ref": "mpwolke/monotonic-relationships-are-beige", "kernel_id": "26988444"}, {"ref": "naveenchakravarthy/spaceship-titanic", "kernel_id": "26993894"}, {"ref": "adityajha1504/notebookc5865d43d4", "kernel_id": "26989615"}, {"ref": "shilpagracev/notebooke207a94f5c", "kernel_id": "26993974"}, {"ref": "arvinddevarkonda/ai4code-detail-eda", "kernel_id": "26990491"}, {"ref": "odins0n/ai4code-detailed-eda", "kernel_id": "26987375"}, {"ref": "azminetoushikwasi/ml-foundation-cross-validation-all-methods", "kernel_id": "26802151"}, {"ref": "rajnishkumar546/google-eda", "kernel_id": "26993641"}, {"ref": "danofer/ai4code-most-common-kagglers", "kernel_id": "27061665"}, {"ref": "jdoesv/data-sources-in-ai4code-notebooks", "kernel_id": "27039298"}, {"ref": "jdoesv/flax-code-embeddings-usage", "kernel_id": "27001883"}, {"ref": "happycube/ai4code-pytorch-codebert-baseline", "kernel_id": "27659156"}, {"ref": "happycube/ai4code-training-data-pre-processor", "kernel_id": "27623806"}, {"ref": "aerdem4/ai4code-pytorch-distilbert-baseline", "kernel_id": "27006717"}, {"ref": "cv13j0/ai4code-a-simple-neuronal-network", "kernel_id": "27025470"}, {"ref": "robikscube/google-ai4code-data-to-parquet-twitch-stream-eda", "kernel_id": "27021201"}, {"ref": "astrung/language-detection-transformer", "kernel_id": "27444782"}, {"ref": "aroksak/ai4code-languages-distribution", "kernel_id": "27076546"}, {"ref": "lvwerra/kendall-tau-with-evaluate", "kernel_id": "27932817"}, {"ref": "ilyaryabov/fasttext-public-model-teaching", "kernel_id": "27143529"}, {"ref": "ilyaryabov/fasttext-sorting-with-cosine-distance-algo", "kernel_id": "27142661"}, {"ref": "kaushiksuresh147/get-started-with-interactive-eda", "kernel_id": "27007016"}, {"ref": "erikbruin/ai4code-find-your-stuff-kendall-tau-and-eda", "kernel_id": "27061600"}, {"ref": "suicaokhoailang/stronger-baseline-with-code-cells", "kernel_id": "27348511"}, {"ref": "ankitkumar111/pytorch-baseline", "kernel_id": "27064310"}, {"ref": "yasufuminakama/ai4code-most-common-kagglers", "kernel_id": "27009981"}, {"ref": "arunamenon/ai4code-eda-modelling", "kernel_id": "27669814"}, {"ref": "jazivxt/code-theory", "kernel_id": "27065939"}, {"ref": "yufuin/ai4code-linearity-of-kendall-s-tau-english", "kernel_id": "27114373"}, {"ref": "maunish/ai4code-some-random-stats", "kernel_id": "27208199"}, {"ref": "mpwolke/correlations-dataprep-kendalltau", "kernel_id": "27231627"}, {"ref": "hwsson/notebook766960e148", "kernel_id": "27787181"}, {"ref": "heyytanay/ai4code-training-bert-large-in-pytorch-w-b-amp", "kernel_id": "27027385"}, {"ref": "heyytanay/ai4code-pytorch-training-codebert-w-b", "kernel_id": "27166581"}, {"ref": "andradaolteanu/ai4code-language-detection-and-model-tuning", "kernel_id": "27499137"}, {"ref": "shagkala/kaggle-notebooks-analysis", "kernel_id": "27009254"}, {"ref": "josecarmona/ai4code-notes-and-markdown-cells-eda", "kernel_id": "27515134"}, {"ref": "josecarmona/ai4code-tryig-to-hack-the-lb", "kernel_id": "27543526"}, {"ref": "lucasmorin/ai4code-toc-post-processing", "kernel_id": "27061951"}, {"ref": "harshwalia/ai4code-v1-easy-explanation-all-data", "kernel_id": "27490851"}, {"ref": "vincentwang25/real-benchmark-shuffle-markdown-cell-only", "kernel_id": "27935127"}, {"ref": "tensorchoko/google-ai4code-eda", "kernel_id": "27069338"}, {"ref": "haithamaliryan/ai4code-extract-all-functions-variables-names", "kernel_id": "27866944"}, {"ref": "readoc/ai4code-deberta-v3-large-train-and-infer", "kernel_id": "27958509"}, {"ref": "samratthapa/ai4code-random-eda-comments-languages", "kernel_id": "27193243"}, {"ref": "samratthapa/vectorizing-with-codebert-with-dataset", "kernel_id": "27569159"}, {"ref": "sundusaijaz/notebookaeffa2fbcb", "kernel_id": "27941696"}, {"ref": "yuanzhezhou/ai4code-distilbert-inference-777", "kernel_id": "27078209"}, {"ref": "yuanzhezhou/ai4code-distilbert-training-777", "kernel_id": "27086151"}, {"ref": "yuanzhezhou/ai4code-pairwise-bertsmall-inference", "kernel_id": "27257565"}, {"ref": "yuanzhezhou/pretr", "kernel_id": "27257837"}, {"ref": "yuanzhezhou/ai4code-pairwise-bertsmall-training", "kernel_id": "27258678"}, {"ref": "nguyentanvietk15hl/ai4code-pairwise-bertsmall-inference", "kernel_id": "27626930"}, {"ref": "nguyentanvietk15hl/notebook4f63981692", "kernel_id": "27628702"}, {"ref": "leolu1998/ai4code-deberta-inference", "kernel_id": "27073643"}, {"ref": "trex99/ai4code-create-features-v900-codebert", "kernel_id": "27837882"}, {"ref": "trex99/ai4code-build-model-v01all-codebert", "kernel_id": "27867605"}, {"ref": "hechtjp/ai4code-eda-as-binary-classification", "kernel_id": "27874555"}, {"ref": "elindbergs/load-scripts-of-top-github-projects", "kernel_id": "27239967"}, {"ref": "nickuzmenkov/ai4code-tensorflow-distilbert-baseline", "kernel_id": "27739112"}, {"ref": "anuj6540/ai4code-eda", "kernel_id": "27114219"}, {"ref": "swaralipibose/a-detailed-eda-position-analysis", "kernel_id": "27478053"}, {"ref": "cafelatte1/baseline-xgboost-imporved-by-hp-tuning", "kernel_id": "27051496"}, {"ref": "lequanghungk15hl/markdown-only-model", "kernel_id": "27179500"}, {"ref": "fmakarem/prepare-data-ai4code", "kernel_id": "27893104"}, {"ref": "jagofc/ai4code-kendall-tau-experiments", "kernel_id": "27228982"}, {"ref": "kayalvizhim/first-code", "kernel_id": "27643131"}, {"ref": "kerroumhamza/ai4code", "kernel_id": "27813028"}, {"ref": "ceshine/ai4code-most-common-kagglers", "kernel_id": "28408434"}, {"ref": "johnip/ai4code-tf-tpu-codebert-training", "kernel_id": "28598080"}, {"ref": "johnip/ai4code-tf-tpu-codebert-data-preparation", "kernel_id": "28437665"}, {"ref": "snaker/new-rank", "kernel_id": "28258241"}, {"ref": "kojimar/ai4code-pytorch-graphcodebert", "kernel_id": "28886342"}, {"ref": "arunamenon/ai4code-bert-base-uncased-inference", "kernel_id": "28287631"}, {"ref": "robertrebor/analytics-of-phrases-skewness", "kernel_id": "28977151"}, {"ref": "robertrebor/training-using-crossencoder-with-sbert", "kernel_id": "28962344"}, {"ref": "thaihocmap123/competition-ai4code", "kernel_id": "28324642"}, {"ref": "thaihocmap123/code4ai-submission", "kernel_id": "28494610"}, {"ref": "claree007/ai4code-dataset-analysis", "kernel_id": "28422053"}, {"ref": "ikaroskaggle/mbert-ai4code-tf-tpu-codebert-data-preparation", "kernel_id": "28959694"}, {"ref": "dunglt/inference-pct-rank-model", "kernel_id": "28554731"}, {"ref": "e0xextazy/a-survey-of-code-refinement-task-notebook", "kernel_id": "28899469"}, {"ref": "andradaolteanu/ai4code-pytorch-bert-base-uncased", "kernel_id": "28635285"}, {"ref": "readoc/ai4code-flax-seq2seq-tokenization-2048", "kernel_id": "28913092"}, {"ref": "readoc/ai4code-lb-prober", "kernel_id": "28144454"}, {"ref": "oscarrangel/pairwise-training", "kernel_id": "28805506"}, {"ref": "conan1024/ai4code-baseline", "kernel_id": "28173313"}, {"ref": "ashishdeshmukh123/code-comment-relation", "kernel_id": "28640946"}, {"ref": "hechtjp/ai4code-inference-xgb-binary-classification", "kernel_id": "28623307"}, {"ref": "hechtjp/ai4code-train-xgb-binary-classification", "kernel_id": "28406436"}, {"ref": "hechtjp/ai4code-error-with-texthero-why", "kernel_id": "28222463"}, {"ref": "vad13irt/optimization-approaches-for-transformers", "kernel_id": "28014302"}, {"ref": "kimnnm/roberta-base-inference", "kernel_id": "28193587"}, {"ref": "pypiahmad/ai4code-pairwise-bertsmall-inference", "kernel_id": "28759495"}, {"ref": "pypiahmad/codebert-pairwise", "kernel_id": "28759758"}, {"ref": "pypiahmad/ai4code-tf-tpu-codebert-inference", "kernel_id": "28759816"}, {"ref": "nickuzmenkov/ai4code-tf-tpu-codebert-training", "kernel_id": "28141151"}, {"ref": "nickuzmenkov/ai4code-tf-tpu-codebert-inference", "kernel_id": "28143102"}, {"ref": "nickuzmenkov/ai4code-tf-tpu-codebert-data-preparation", "kernel_id": "28139520"}, {"ref": "coder0311/ai4code-pytorch", "kernel_id": "28929500"}, {"ref": "akshayr009/stronger-baseline-with-code-cells", "kernel_id": "28587410"}, {"ref": "gabrielecerioli/01-ai4c-data-preprocessing", "kernel_id": "28390591"}, {"ref": "cafelatte1/catboost-ranker-inference", "kernel_id": "28296774"}, {"ref": "cafelatte1/catboost-ranker-training", "kernel_id": "28227416"}, {"ref": "cafelatte1/catboost-ranker-data-preparation", "kernel_id": "28223745"}, {"ref": "santosh1974/ai4code-eda", "kernel_id": "28511136"}, {"ref": "santosh1974/ai4code-first", "kernel_id": "28216832"}, {"ref": "v1olet1nor1/tan-data-ai4code", "kernel_id": "28668202"}, {"ref": "devrimzay/codebert-pairwise", "kernel_id": "28994906"}, {"ref": "fmakarem/ai4code-eda", "kernel_id": "28039511"}, {"ref": "msinger007/ai4code-tf-tpu-distilbert-data-preparation", "kernel_id": "28819842"}, {"ref": "heth1705/ai4-code-xgboost", "kernel_id": "28516660"}, {"ref": "corneliuskristianto/google-ai4code-reconstruct-the-order", "kernel_id": "28586310"}, {"ref": "danieljeongkut/notebooka6b92f5e1e", "kernel_id": "28691013"}, {"ref": "rm1000/improved-codebert-pairwise-before-bug-fix", "kernel_id": "28753171"}, {"ref": "mohdmuttalib/ai4code-pairwise-bertsmall-inference", "kernel_id": "28754562"}, {"ref": "mohammadnaif/ai4code-pairwise-bertsmall-inference", "kernel_id": "28509139"}, {"ref": "leehann/stronger-baseline-with-code-cells-ds", "kernel_id": "28944892"}, {"ref": "hitarthagarwal/kaggle-analysis", "kernel_id": "28192300"}, {"ref": "hobinh/ai4code-pairwise-bertsmall-inference", "kernel_id": "28922801"}, {"ref": "elhammohamadi/notebook0b10f277de", "kernel_id": "28180194"}, {"ref": "mungeunjo/graphcodebert-pairwise", "kernel_id": "28841400"}, {"ref": "thedevastator/error-analysis-visualize-bert-s-attention", "kernel_id": "28252060"}, {"ref": "thedevastator/codebert-pairwise", "kernel_id": "28634867"}, {"ref": "xodeum/google-al4code", "kernel_id": "28664534"}, {"ref": "xodeum/googleal4code2", "kernel_id": "28779995"}, {"ref": "tadashi123/ai4code-tf-tpu-codebert-inference", "kernel_id": "28385395"}, {"ref": "dmytropoplavskiy/notebook-ai4code-ens2", "kernel_id": "29456226"}, {"ref": "qiaoshiji/fork-of-ai4code-infer-22e56e", "kernel_id": "29289849"}, {"ref": "yufuin/ai4code-public-3rd-solution-inference", "kernel_id": "29247455"}, {"ref": "yufuin/ai4code-probing-collection-time-period", "kernel_id": "29301426"}, {"ref": "socom20/ai4-code-v28", "kernel_id": "29209915"}, {"ref": "dohuuthieu/ai4code-codebert-pairwise-score-0-8533", "kernel_id": "29046773"}, {"ref": "shujun717/add-decorator-ai4code-test32-add-break-26-code", "kernel_id": "29492948"}, {"ref": "omargamal064/graphcodebert-parwise", "kernel_id": "29017806"}, {"ref": "readoc/ai4code-long-former-train-infer", "kernel_id": "29083963"}, {"ref": "readoc/ai4code-bigbird-train-with-flax-tpu", "kernel_id": "29084025"}, {"ref": "readoc/ai4code-tfrankencoder-10-mins-cv-875", "kernel_id": "29084108"}, {"ref": "readoc/ai4code-ranker-tensorflow-train-tpu", "kernel_id": "29084163"}, {"ref": "cabbage972/ai4c-leaderboard-basic-analysis", "kernel_id": "29522288"}, {"ref": "tiquasar/ensemble-codebert-pairwise-graphcodebert", "kernel_id": "29194327"}, {"ref": "tiquasar/ensemble-code-graphcode-bert-pairwise-plbart", "kernel_id": "29194360"}, {"ref": "valentinaliferov/ai4code-submit", "kernel_id": "29175288"}, {"ref": "vad13irt/optimization-approaches-for-transformers-part-2", "kernel_id": "29779534"}, {"ref": "jacobyjaeger/a-bag-of-words-is-all-you-need", "kernel_id": "29491710"}, {"ref": "devrimzay/k-ai4code", "kernel_id": "29019040"}, {"ref": "devrimzay/ensemble-code-graphcode-bert-pairwise-plbart", "kernel_id": "29255987"}, {"ref": "ryanmuscle/an-approach-without-ml-libraries", "kernel_id": "29280930"}, {"ref": "nohdap/train-model", "kernel_id": "29197693"}, {"ref": "hydantess/ai4code0729", "kernel_id": "29176317"}, {"ref": "mohammadnaif/codebert-pairwise", "kernel_id": "29021611"}, {"ref": "cbeaud/ai4code-codebert-pairwise-score-0-8470", "kernel_id": "29019885"}, {"ref": "tide525/ai4code-final-ensemble", "kernel_id": "29472140"}, {"ref": "pollicio/google-a14-code-chile", "kernel_id": "30563632"}, {"ref": "kirderf/ai4code-with-languages-translation", "kernel_id": "30068305"}, {"ref": "nguynthhi/infer", "kernel_id": "30636144"}, {"ref": "nguynthhi/capstone-project", "kernel_id": "30120948"}, {"ref": "ankitkrsrivastava/ai4code-pairwise-bertsmall-training", "kernel_id": "30651445"}, {"ref": "alexryzhkov/google-ai4code-kernels-stat", "kernel_id": "32196676"}, {"ref": "goldenlock/reproduce-pairwise-recall", "kernel_id": "32554090"}, {"ref": "goldenlock/pairwise-recall", "kernel_id": "32556684"}, {"ref": "goldenlock/reproduce-v1", "kernel_id": "32500141"}, {"ref": "mr0106/googel-a14code", "kernel_id": "32331606"}, {"ref": "nguynthhi/model-v5", "kernel_id": "33278535"}, {"ref": "nguynthhi/ai4code-test-dataset", "kernel_id": "33391435"}, {"ref": "eraikako/nlp-tutorial-educational-series-vol-1", "kernel_id": "34991792"}, {"ref": "nguynthhi/codebert", "kernel_id": "34160964"}, {"ref": "nguynthhi/submission-of-model-v5", "kernel_id": "34017089"}, {"ref": "arnaudeq/getting-started-with-ai4code", "kernel_id": "36278436"}, {"ref": "kingsleyokon/ensemble-code-graphcode-bert-pairwise-plbart", "kernel_id": "36722302"}, {"ref": "yufuin/ai4code-parallel-bert-sample", "kernel_id": "40622142"}, {"ref": "hydantess/ai4code-sample-notebook", "kernel_id": "40266118"}, {"ref": "himanshukumar7079/google-ai4-pred", "kernel_id": "41231945"}, {"ref": "anuragraj03/polyglot-language-detector", "kernel_id": "62396622"}, {"ref": "trimplayer/ai4code-t5", "kernel_id": "82671191"}, {"ref": "itsyoursumit/getting-started-with-ai4code", "kernel_id": "94257813"}]}
{"competition_id": "35888", "kernels": []}
{"competition_id": "35893", "kernels": []}
{"competition_id": "35894", "kernels": []}
{"competition_id": "35896", "kernels": []}
{"competition_id": "35909", "kernels": [{"ref": "sharrish/draw-color-landmarks", "kernel_id": "26863813"}, {"ref": "sharrish/augmentations-with-transforms-facial-landmarks", "kernel_id": "26877109"}]}
{"competition_id": "35916", "kernels": [{"ref": "maprasad/news-popularity-prediction-starter-notebook", "kernel_id": "26069998"}]}
{"competition_id": "35923", "kernels": []}
{"competition_id": "35924", "kernels": []}
{"competition_id": "35925", "kernels": []}
{"competition_id": "35941", "kernels": [{"ref": "aliphya/which-anime-should-you-watch", "kernel_id": "26122088"}, {"ref": "josemfsantos/hckt05", "kernel_id": "26461372"}]}
{"competition_id": "35946", "kernels": [{"ref": "upgrad/news-popularity-prediction-starter-notebook", "kernel_id": "26102644"}, {"ref": "vilehh/news-popularity-eda", "kernel_id": "26338548"}]}
{"competition_id": "35947", "kernels": []}
{"competition_id": "35955", "kernels": [{"ref": "risheendra/aaaaa", "kernel_id": "26179941"}, {"ref": "chakra9182/baseline-code-for-problem-set-2", "kernel_id": "26143397"}]}
{"competition_id": "35962", "kernels": [{"ref": "giosiolas/ails-task-2", "kernel_id": "26115534"}, {"ref": "eleannakouletou/ails-task-2-arbil", "kernel_id": "26133286"}]}
{"competition_id": "35965", "kernels": []}
{"competition_id": "35972", "kernels": []}
{"competition_id": "35978", "kernels": [{"ref": "bcruise/autism-prediction-eda-baseline", "kernel_id": "26361769"}, {"ref": "skylord/naive-approach-at-blending-two-models", "kernel_id": "26742423"}, {"ref": "skylord/eda-on-dataset-exploratory", "kernel_id": "26407685"}, {"ref": "skylord/blending-multiple-models-shoulder-of-giants", "kernel_id": "26416496"}, {"ref": "skylord/using-predictivity-of-a1-to-a10-scores", "kernel_id": "26395524"}, {"ref": "skylord/fastai-tabular-version-0-pb-0-74", "kernel_id": "26380688"}, {"ref": "jawahar96/autism-eda-prediction-score-79-5", "kernel_id": "26389043"}, {"ref": "musicbanerjee/autism-eda-and-prediction-score", "kernel_id": "26737127"}, {"ref": "carlkirstein/autism-eda-and-models-77-8-score", "kernel_id": "26450945"}, {"ref": "joseguzman/8-models-that-predict-autism-spectrum-disorder", "kernel_id": "26674508"}, {"ref": "francuzovd/autism-prediction-77-8-feature-engineering", "kernel_id": "26359468"}, {"ref": "balabaskar/autism-prediction-eda-auc-0-853-score", "kernel_id": "26474392"}, {"ref": "naveenkonam1985/autism-prediction-with-catboost", "kernel_id": "26916313"}, {"ref": "muhammedtausif/autism-prediction", "kernel_id": "26360838"}, {"ref": "sanjaylalwani/autism-diagnosis-with-flaml", "kernel_id": "26640806"}, {"ref": "raushan9jnv/austim-data-ml", "kernel_id": "26584880"}, {"ref": "mahsazamanifard/autism-diagnosis", "kernel_id": "26396870"}, {"ref": "arnavr10880/asd-prediction-eda-baseline", "kernel_id": "26696086"}, {"ref": "purvapr/autism-prediction-analysis", "kernel_id": "26550615"}, {"ref": "himanshunayal/autism-prediction-1-solution", "kernel_id": "26841337"}, {"ref": "abhishek123maurya/no-ml-baseline-solution-using-eda", "kernel_id": "26869476"}, {"ref": "alexryzhkov/autism-lightautoml", "kernel_id": "27002162"}, {"ref": "skylord/how-random-forests-really-work-autism-dataset", "kernel_id": "27371047"}, {"ref": "ezzzio/deep-models-with-residual-connections-and-ensamble", "kernel_id": "27194417"}, {"ref": "ezzzio/autism-prediction-0-85805-score", "kernel_id": "27036174"}, {"ref": "kristoffhernan/autism-prediction-in-adults", "kernel_id": "27144202"}, {"ref": "raselmeya/asd-predictions-with-8-different-models-85-7", "kernel_id": "27779349"}, {"ref": "abhipatel2103/high-accuracy-using-basic-models", "kernel_id": "27553690"}, {"ref": "abhishek123maurya/autism-prediction-by-ai", "kernel_id": "27002379"}, {"ref": "jiyakelawala/high-accuracy-using-basic-models", "kernel_id": "27599858"}, {"ref": "jiyakelawala/high-accuracy-using-basic-models1", "kernel_id": "27611401"}, {"ref": "emiliakowalik/autism-prediction", "kernel_id": "36842079"}, {"ref": "rashedhassansiam/prediction-of-autism-spectrum-disorder", "kernel_id": "44774748"}, {"ref": "g206079/solution", "kernel_id": "49172946"}, {"ref": "nourhanelsabawy/autism-prediction-interactive-visuals-lazyclassify", "kernel_id": "50230767"}, {"ref": "anastasialaschishina/notebook71475843d7", "kernel_id": "60846674"}, {"ref": "mos3santos/previs-o-do-autismo", "kernel_id": "68748636"}, {"ref": "fahimrayhan/autism-prediction-using-different-algorithms", "kernel_id": "72189830"}, {"ref": "mohammedalmadhoum/autism-detection-with-artificial-neural-network", "kernel_id": "94949525"}]}
{"competition_id": "35991", "kernels": []}
{"competition_id": "35995", "kernels": [{"ref": "samarthagarwal23/nlp-for-chinese-101", "kernel_id": "27094204"}, {"ref": "mpwolke/jieba-chinese-text-segmentation", "kernel_id": "27116774"}, {"ref": "mpwolke/negative-chats-in-chinese", "kernel_id": "27048048"}]}
{"competition_id": "35999", "kernels": [{"ref": "machinehelearning6/notebook01c7eaa0e4", "kernel_id": "28054673"}, {"ref": "sininghuang/ml2022spring-hw7", "kernel_id": "30666136"}, {"ref": "oyxy2019/ml2022spring-hw7-colab", "kernel_id": "40967882"}, {"ref": "klxz233/notebook90769b654a", "kernel_id": "56396167"}, {"ref": "songwyc/ml2022spring-hw7", "kernel_id": "84573887"}]}
{"competition_id": "36007", "kernels": []}
{"competition_id": "36010", "kernels": [{"ref": "a11rand0m/text-analysis-on-job-title", "kernel_id": "26281200"}, {"ref": "stellaris98/uet-hackthon-eda-and-baseline", "kernel_id": "26234991"}, {"ref": "darkaze/team-mlt-uet-hackthon-2022", "kernel_id": "26469104"}, {"ref": "nguynvnminh/baseline-ignore-all-text-score-0-8586-private", "kernel_id": "26712715"}, {"ref": "hanguyen18020434/uet-hackathon-ai-project", "kernel_id": "26567318"}, {"ref": "huy1711/2nd-place-catboost-brain-not-found-team", "kernel_id": "26221603"}, {"ref": "tqphu27/nightmare", "kernel_id": "26212483"}, {"ref": "qucsinhnguyn/momentum-notebook-submit", "kernel_id": "26231535"}, {"ref": "cngkhutnguyn/kngcuong", "kernel_id": "26449961"}, {"ref": "traang/notebooka0f19fbfb9", "kernel_id": "27345852"}, {"ref": "gstaaan/income-level-forecasting", "kernel_id": "34689605"}]}
{"competition_id": "36015", "kernels": []}
{"competition_id": "36032", "kernels": []}
{"competition_id": "36034", "kernels": []}
{"competition_id": "36035", "kernels": []}
{"competition_id": "36039", "kernels": []}
{"competition_id": "36048", "kernels": []}
{"competition_id": "36060", "kernels": [{"ref": "tomervaron/notebookba9a96e9fe", "kernel_id": "27646006"}, {"ref": "orkatz2/ensemble-gbm-pytorch-nn-and-pytorch-cnn-orkatz", "kernel_id": "28284781"}]}
{"competition_id": "36062", "kernels": [{"ref": "srossi/baseline", "kernel_id": "26213908"}, {"ref": "aaronabebe/group-12", "kernel_id": "26886155"}, {"ref": "clara44666/group11-challenge1", "kernel_id": "26786136"}, {"ref": "minhduc0711/group5challenge1", "kernel_id": "26602991"}, {"ref": "emersonc/group7challenge1-weather-prediction", "kernel_id": "26972316"}, {"ref": "philper/group4-aml-c1", "kernel_id": "26602432"}, {"ref": "quentinch/group1-challenge1", "kernel_id": "26986644"}, {"ref": "augustbirkeland/challenge1group2", "kernel_id": "26984639"}, {"ref": "mathiaswold/group-14-challenge-1", "kernel_id": "26949076"}, {"ref": "emmanuelcordina/cordina-radjou-aml-challenge-1", "kernel_id": "26911900"}, {"ref": "janniksf/group26-challenge1-xgboost", "kernel_id": "26985012"}, {"ref": "estellez/group8challenge1", "kernel_id": "26971674"}, {"ref": "louisedmlv/notebook9f8ee39267", "kernel_id": "26986592"}, {"ref": "smirreslordling/notebookcfb83966e6", "kernel_id": "26957354"}, {"ref": "zacharithiry/challenge1group3", "kernel_id": "26601735"}, {"ref": "nourjamoussi/group6challenge1", "kernel_id": "26934044"}, {"ref": "lamarcade/group28challenge1", "kernel_id": "26981119"}, {"ref": "yannismoudere/baseline-4fdee4", "kernel_id": "26603585"}, {"ref": "hassibhenia/notebook-group10", "kernel_id": "26985342"}, {"ref": "mpronesti/group-20", "kernel_id": "26948885"}, {"ref": "giuliocorallo/group-17", "kernel_id": "26987472"}, {"ref": "perlapomponi/challenge1-team13", "kernel_id": "26941686"}, {"ref": "aliehsanian/group33challenge1", "kernel_id": "27004968"}]}
{"competition_id": "36068", "kernels": []}
{"competition_id": "36070", "kernels": [{"ref": "mohamedalaav/full-project-regression-gdsc-ds", "kernel_id": "26482640"}, {"ref": "ahmedhaytham/sample-notebook", "kernel_id": "26213842"}]}
{"competition_id": "36073", "kernels": [{"ref": "safvan/denoising-shabby-pages-starter", "kernel_id": "26443605"}, {"ref": "deepdreamx/denoising-by-pix2pix", "kernel_id": "27285127"}, {"ref": "deepdreamx/simple-cv2-denoising", "kernel_id": "27431301"}, {"ref": "shengyou222/denoising-shabby-pages-in-ocr-pix2pix-pytorch", "kernel_id": "27566496"}, {"ref": "shengyou222/what-is-augraphy", "kernel_id": "27602588"}, {"ref": "shengyou222/denoising-shabby-pages-dncnn", "kernel_id": "27168517"}, {"ref": "deepdreamx/de-gan", "kernel_id": "28391498"}, {"ref": "biplabban/de-gan", "kernel_id": "54369493"}, {"ref": "lakshay7216/co21340-nn-practical-8", "kernel_id": "71052300"}]}
{"competition_id": "36077", "kernels": []}
{"competition_id": "36078", "kernels": [{"ref": "lzzzzzm/baseline-notebook", "kernel_id": "26262183"}, {"ref": "balmung08/mlp-model", "kernel_id": "26335798"}, {"ref": "liangyz2019/headache", "kernel_id": "26254689"}, {"ref": "liuyun313/example-liuyun", "kernel_id": "26230942"}, {"ref": "smumumu/voting-clf", "kernel_id": "26884553"}, {"ref": "smumumu/randomforest", "kernel_id": "26629420"}, {"ref": "tianyx0921/tyx-datamining-1", "kernel_id": "26665396"}, {"ref": "yangchuang/xgboost-developed", "kernel_id": "26916747"}, {"ref": "yangchuang/gradientboostingclassifier", "kernel_id": "26916748"}, {"ref": "yangchuang/version1-randomforest", "kernel_id": "26288436"}, {"ref": "wengnan20190321/test3", "kernel_id": "26499090"}, {"ref": "linhaoyi/notebook088f795c93", "kernel_id": "26583835"}, {"ref": "linhaoyi/notebookb41bbf4937", "kernel_id": "26577667"}, {"ref": "wangyida20190510/gbdt-for-bread", "kernel_id": "26709280"}, {"ref": "qiaoby/notebook3e0b6bda9e", "kernel_id": "26512451"}, {"ref": "liquanzhen20190318/20190318", "kernel_id": "26687449"}, {"ref": "wuchuang/integrated-learning", "kernel_id": "26347796"}, {"ref": "xxc20190426/bbbb1", "kernel_id": "26441580"}, {"ref": "lbh20190513/notebook091538d5ef", "kernel_id": "26524034"}, {"ref": "heshixun20190527/notebooke7d20ec736", "kernel_id": "26500911"}, {"ref": "fzl20190329/notebookb34815d521", "kernel_id": "26395481"}, {"ref": "wanghanyun/20180542why", "kernel_id": "26870063"}, {"ref": "wanghanyun/20190425", "kernel_id": "26869670"}, {"ref": "zhoufan1/notebookbdf9514e30", "kernel_id": "26860033"}, {"ref": "denyang/notebookb57d4ef230", "kernel_id": "26566845"}, {"ref": "eightsixsun/bigdata-test1", "kernel_id": "26443619"}, {"ref": "wangzh2019/notebook85b27f9b05", "kernel_id": "26310701"}, {"ref": "xinlingyusdasd/dashfoi", "kernel_id": "26472115"}, {"ref": "xingaocheng20190421/notebook4e9f8eea47", "kernel_id": "26544699"}, {"ref": "chaipengcheng/notebook528731085c", "kernel_id": "26837353"}, {"ref": "lilu20190101/20190101ll", "kernel_id": "26847239"}, {"ref": "lanqihe/notebook49e009fc67", "kernel_id": "26856879"}, {"ref": "skythinker/bagging-dnn-sklearn", "kernel_id": "26414751"}, {"ref": "skythinker/many-models", "kernel_id": "26258611"}, {"ref": "zzy20190309/notebook0ee64dcd0d", "kernel_id": "26836937"}, {"ref": "wdnmdt/bagging-example", "kernel_id": "26442835"}, {"ref": "glisten/competition-01", "kernel_id": "26837976"}, {"ref": "weidong20190230/notebooke835714a90", "kernel_id": "26630581"}, {"ref": "s20190530/notebookd7e709b648", "kernel_id": "26692488"}, {"ref": "zhangwen2019/zhangwen", "kernel_id": "26452064"}, {"ref": "lijing20190301/notebook0f34493738", "kernel_id": "26820680"}, {"ref": "zhaoyuting20190105/notebook99f4d6d87b", "kernel_id": "26522194"}, {"ref": "zjy20190525/notebook4837dde1f9", "kernel_id": "26297539"}, {"ref": "haoyuanhui20190423/notebookd5148e0d05", "kernel_id": "26277404"}, {"ref": "owenzzx/notebookc9e8488bef", "kernel_id": "26611257"}, {"ref": "sunbo2019/notebook983016e148", "kernel_id": "26627574"}, {"ref": "sunbo2019/notebook011d334fef", "kernel_id": "26627591"}, {"ref": "sunbo2019/notebook4437b0b202", "kernel_id": "26512612"}, {"ref": "fireball447/notebookfff7b36b05", "kernel_id": "26832658"}, {"ref": "fireball447/notebook3e1fe8d618", "kernel_id": "26856772"}, {"ref": "zhiweiwang356829/integrated-learning", "kernel_id": "26651247"}, {"ref": "difuqiang20190408/notebook56cfe7d002", "kernel_id": "26870677"}, {"ref": "peiyiding1819/notebook7a0079b799", "kernel_id": "26630434"}, {"ref": "lsd20190107/notebook1a54d76575", "kernel_id": "26606876"}, {"ref": "yangyikun2019/yyyyk", "kernel_id": "26582243"}, {"ref": "tianxiaoyang20190326/notebook1a25b7303a", "kernel_id": "26583267"}, {"ref": "zhoujiaxu14190406/notebookc8cadad71b", "kernel_id": "26831678"}, {"ref": "youtao20190121/notebookc6ecc23aa4", "kernel_id": "26307274"}, {"ref": "yanjingqian/model1", "kernel_id": "26693570"}, {"ref": "ruiyubo/ykykykyk", "kernel_id": "26665286"}, {"ref": "sywhisper/notebook6004c68697", "kernel_id": "26856548"}, {"ref": "gongmengyu/notebookf55ae5b3dc", "kernel_id": "26635192"}, {"ref": "xiaoqixuan/extratrees", "kernel_id": "26607457"}, {"ref": "tyw20190203/tyw-notebook", "kernel_id": "26808381"}, {"ref": "zhangzeqi/zzq-task", "kernel_id": "26717074"}, {"ref": "lhx20190517/lhx-task", "kernel_id": "26837198"}, {"ref": "fanmingjian/extratrees", "kernel_id": "26689755"}, {"ref": "liuaoyun20190125/notebook7733578877", "kernel_id": "26621570"}, {"ref": "yangxu20180322/baseline-above", "kernel_id": "26607440"}, {"ref": "caojingdi2019/notebook111111", "kernel_id": "26857373"}, {"ref": "louishino/notebook6ca2204ce9", "kernel_id": "26870328"}, {"ref": "luchunbo/notebook4075ab383d", "kernel_id": "26680659"}, {"ref": "wyh20190214/notebook426c1c2f2b", "kernel_id": "26637295"}, {"ref": "wyh20190214/notebookeeb30e4a9e", "kernel_id": "26790639"}, {"ref": "yangheqi/submission-csv", "kernel_id": "26500454"}, {"ref": "leeshuainan/rfc-lsn", "kernel_id": "26667481"}, {"ref": "shaoqy20190122/notebookdf101f3212", "kernel_id": "26441439"}, {"ref": "qiaodingkang20190506/try-to-use-randomforest", "kernel_id": "26282790"}, {"ref": "sulinhao20190406/20190406", "kernel_id": "26870290"}, {"ref": "tanghe2019/jcnice", "kernel_id": "26387388"}, {"ref": "yinxy09190101/09190101", "kernel_id": "26470686"}, {"ref": "huangxc20190403/20190403", "kernel_id": "26474066"}, {"ref": "waq18190101/notebook7deefc969b", "kernel_id": "26601247"}, {"ref": "yanghanyuzhennb/notebookd56e0da9a9", "kernel_id": "26936182"}, {"ref": "xinjiaoyang/00001", "kernel_id": "26312118"}, {"ref": "zhuyulong/notebook1ed75de7f4", "kernel_id": "26716030"}, {"ref": "s20190304/notebook2dfcfbbb57", "kernel_id": "26683056"}, {"ref": "wangjunjie20190414/notebook6004c68697", "kernel_id": "26551083"}, {"ref": "yhzcczj/notebook4dea146b9f", "kernel_id": "26762100"}, {"ref": "luzhishen/sherlock", "kernel_id": "26727218"}, {"ref": "luzhishen/ciallo", "kernel_id": "26703913"}, {"ref": "luzhishen/holmes", "kernel_id": "26877497"}, {"ref": "zhangziyao1/notebookb98159c4f9", "kernel_id": "26576733"}, {"ref": "ouyang20190204/notebookb66d924fa3", "kernel_id": "26547546"}, {"ref": "gengziya20190201/notebookdda9bfd1b2", "kernel_id": "26866652"}, {"ref": "zhoupengpeng/notebook07440c76b1", "kernel_id": "26813239"}, {"ref": "yangaaabb/yrsyrs", "kernel_id": "26681309"}, {"ref": "shiyuanzhang15191514/notebook6597795c75", "kernel_id": "26282267"}, {"ref": "wuyue20190502/notebook46e6de3e69", "kernel_id": "26869390"}, {"ref": "zhangchong20190515/notebookd4ff657f9c", "kernel_id": "26523824"}, {"ref": "liangbin20190307/notebook07440c76b0", "kernel_id": "26782359"}, {"ref": "zhyang111/dnn-keras", "kernel_id": "26410317"}, {"ref": "chuaichen20190110/notebook8293410a6f", "kernel_id": "26498199"}, {"ref": "xirui24190219/notebook21be014a20", "kernel_id": "26495395"}, {"ref": "ly20190319/bigdata", "kernel_id": "26624494"}, {"ref": "liuhangyu20190202/notebook574f8072b9", "kernel_id": "26807431"}, {"ref": "chenfujia17190516/notebook902579a5ef", "kernel_id": "26628360"}, {"ref": "chenfujia17190516/notebookc14eaf5361", "kernel_id": "26626782"}, {"ref": "xfy20190221/submission-csv", "kernel_id": "26813146"}, {"ref": "shengjy20190219/notebook4f8a3a025f", "kernel_id": "26813448"}, {"ref": "luojl20190228/notebook498d4883a0", "kernel_id": "26813775"}, {"ref": "dazhongji/20190311jdz", "kernel_id": "26872485"}, {"ref": "dazhongji/20190311", "kernel_id": "26872373"}, {"ref": "wzj20190328/rf111", "kernel_id": "27025295"}, {"ref": "hushibo/20190112", "kernel_id": "27038893"}, {"ref": "hyh20190226/notebook221bf766fb", "kernel_id": "27024531"}, {"ref": "a20190310hxp/notebooka4b54db691", "kernel_id": "27003112"}, {"ref": "alayao/s-s-s-s", "kernel_id": "27048872"}, {"ref": "xirui24190219/notebook3c34e34d0a", "kernel_id": "27049742"}, {"ref": "lihc20190420/notebook967d3da360", "kernel_id": "27002738"}, {"ref": "chenfujia17190516/notebookdef478d4c6", "kernel_id": "27005763"}, {"ref": "chenfujia17190516/notebookc48699d297", "kernel_id": "27005824"}, {"ref": "chenfujia17190516/notebookbe6f715ef6", "kernel_id": "27005991"}, {"ref": "weijun2019/notebook33afaf8772", "kernel_id": "27035039"}, {"ref": "weijun2019/notebook94124bcf0e", "kernel_id": "27050624"}, {"ref": "weijun2019/notebook131fd88a39", "kernel_id": "27051059"}, {"ref": "weijun2019/notebook56c9f3c93b", "kernel_id": "27050785"}]}
{"competition_id": "36082", "kernels": []}
{"competition_id": "36091", "kernels": []}
{"competition_id": "36099", "kernels": []}
{"competition_id": "36100", "kernels": []}
{"competition_id": "36103", "kernels": []}
{"competition_id": "36109", "kernels": [{"ref": "joneswack/ta-solution", "kernel_id": "26722885"}, {"ref": "aaronabebe/group-12-challenge-3", "kernel_id": "27354939"}, {"ref": "sameerhans/group7-challenge3", "kernel_id": "27384589"}, {"ref": "minhduc0711/group5challenge3", "kernel_id": "27773427"}, {"ref": "romainbourgeois/notebook71f5acd094", "kernel_id": "27752634"}, {"ref": "romainbourgeois/notebook8dbdbcce27", "kernel_id": "27752674"}, {"ref": "maklepa/group21-solution", "kernel_id": "27408494"}, {"ref": "tracyporter/eurecom-tweets-sklearn-select-text", "kernel_id": "27643003"}, {"ref": "tracyporter/eurecom-tweets-spacy-select-text", "kernel_id": "27628095"}, {"ref": "tracyporter/eurecom-tweets-spacy-text", "kernel_id": "27625871"}, {"ref": "ghiglio/group-6-challenge-3", "kernel_id": "27771861"}, {"ref": "zinebsenane/group8-challenge-3", "kernel_id": "27708819"}, {"ref": "aliehsanian/group33challenge3", "kernel_id": "27784248"}, {"ref": "mathiaswold/group-14-challenge-3", "kernel_id": "27757479"}, {"ref": "chlozenou/group-10", "kernel_id": "27563859"}, {"ref": "janniksf/challenge-3-group-26", "kernel_id": "27754017"}, {"ref": "smirreslordling/notebookb55750544d", "kernel_id": "27760613"}, {"ref": "santhoshshan/aml-challenge-3-group-2", "kernel_id": "27758483"}, {"ref": "lucienmaillard/notebook-final-challenge3-group1", "kernel_id": "27352132"}, {"ref": "khthornburg/asi-c3-group4", "kernel_id": "27530593"}, {"ref": "nadineangermeier/ta-tests", "kernel_id": "27561216"}, {"ref": "simopapicchio/group-20-challege-3", "kernel_id": "27452994"}, {"ref": "denisduval/group22-challenge-3", "kernel_id": "27773385"}, {"ref": "loicrichonnier/challenge3groupe11", "kernel_id": "27704198"}, {"ref": "giuliocorallo/group-17-challenge-3", "kernel_id": "27562746"}, {"ref": "radjouaditya/group15-challenge3", "kernel_id": "27708350"}]}
{"competition_id": "36111", "kernels": []}
{"competition_id": "36113", "kernels": [{"ref": "tuananh030596/ta-baseline-solution", "kernel_id": "26665416"}, {"ref": "aaronabebe/group-12-challenge-2", "kernel_id": "26975620"}, {"ref": "ghiglio/group-6-challenge-2", "kernel_id": "26968821"}, {"ref": "lucienmaillard/notebook-final-group-1", "kernel_id": "26967897"}, {"ref": "sameerhans/group7-challenge2", "kernel_id": "27057117"}, {"ref": "maklepa/group21-challenge2", "kernel_id": "27368337"}, {"ref": "aliehsanian/group33challenge2", "kernel_id": "27860376"}, {"ref": "augustbirkeland/challenge2group2", "kernel_id": "27370399"}, {"ref": "mathiaswold/group-14-challenge-2", "kernel_id": "27366402"}, {"ref": "chlozenou/group10-challenge2", "kernel_id": "27078087"}, {"ref": "estellez/group8challenge2", "kernel_id": "27368236"}, {"ref": "louisedmlv/ta-baseline-solution", "kernel_id": "27321942"}, {"ref": "smirreslordling/notebookafd20a4783", "kernel_id": "27357400"}, {"ref": "thomasfallou/team-11", "kernel_id": "27366874"}, {"ref": "simopapicchio/group-20", "kernel_id": "27329075"}, {"ref": "hugorechatin/group-4", "kernel_id": "27115881"}, {"ref": "yannismoudere/group28-code", "kernel_id": "27330977"}, {"ref": "hakonfroland/group-26-challenge2", "kernel_id": "27293558"}, {"ref": "giuliocorallo/group-17-challenge-2", "kernel_id": "27366102"}, {"ref": "radjouaditya/group15-challenge2", "kernel_id": "27296576"}, {"ref": "muhammadmahtab/ta-baseline-solution", "kernel_id": "74345644"}]}
{"competition_id": "36124", "kernels": []}
{"competition_id": "36148", "kernels": []}
{"competition_id": "36160", "kernels": []}
{"competition_id": "36161", "kernels": [{"ref": "jeanmidev/make-a-submission", "kernel_id": "26665702"}, {"ref": "muki2003/image-interest-evaluator-tensorflow", "kernel_id": "27901969"}, {"ref": "mpwolke/what-d-ya-think-cool-fastdup", "kernel_id": "29606653"}]}
{"competition_id": "36168", "kernels": []}
{"competition_id": "36170", "kernels": [{"ref": "addictedby/baseline", "kernel_id": "26506184"}]}
{"competition_id": "36171", "kernels": [{"ref": "yufeizhao04/cp3501-w9-task2", "kernel_id": "62998777"}, {"ref": "arkar1022/fork-of-fastai-lesson-8a-task-2-book", "kernel_id": "63015195"}, {"ref": "huskydawg/task-2-fastai-lesson-8a-collaborative-filt", "kernel_id": "63008628"}, {"ref": "lqy231/fastai-lesson-8a-collaborative-filtering", "kernel_id": "63008952"}, {"ref": "zhouhanwei/task2", "kernel_id": "63641618"}, {"ref": "ralphishere/fastai-lesson-8a-collaborative-filtering", "kernel_id": "63013599"}, {"ref": "caoshaungli/task2-fastai-lesson-8a-collaborative-filtering", "kernel_id": "63013543"}, {"ref": "baolinhvan/fork-of-fastai-lesson-8a-collaborative-filtering", "kernel_id": "63008989"}, {"ref": "tuandn97/fastai-lesson-8a-collaborative-filtering-task-2", "kernel_id": "63010560"}, {"ref": "nyanlinhtut/notebook1615f03dac", "kernel_id": "63399045"}, {"ref": "dexterkwok/fastai-lesson-8a-collaborative-filtering-comp", "kernel_id": "79796551"}, {"ref": "saisaingkham/fastai-lesson-8a-collaborative-filtering", "kernel_id": "80292715"}, {"ref": "kyaesinmoehtet/anime-recommender-fastai", "kernel_id": "88506517"}, {"ref": "jingyangcai/cp3501-week-9-task-2", "kernel_id": "88259040"}, {"ref": "rishanratha/notebook0e40e54131", "kernel_id": "114997985"}, {"ref": "haoyaoli/prac-9-task2-anime-recommendation", "kernel_id": "114729770"}, {"ref": "linnn01/practical-9-task-2", "kernel_id": "114210821"}, {"ref": "hustle256/anime-recommendation-collaborative-filtering", "kernel_id": "128698429"}, {"ref": "sambarrett1/cp3501-prac-08-part-02-samuelbarrett", "kernel_id": "129417899"}]}
{"competition_id": "36175", "kernels": [{"ref": "erenkonta/populerlige-bagl-film-oneri-sistemleri", "kernel_id": "68912662"}]}
{"competition_id": "36179", "kernels": [{"ref": "doublebyte/notebook36326c9ed6", "kernel_id": "26840443"}, {"ref": "leminhnguyen/cholera-competition", "kernel_id": "26908062"}, {"ref": "ramjasmaurya/cholera-death-analysis-by-john-snow-in-1854", "kernel_id": "28919459"}, {"ref": "denisecammarota/john-snow-cholera-map", "kernel_id": "45136262"}]}
{"competition_id": "36181", "kernels": []}
{"competition_id": "36191", "kernels": [{"ref": "akmalmir/aviakompaniya-qoniqish-darajasi", "kernel_id": "27722766"}, {"ref": "ilhomjonrahimov/aviakompaniya-cu-sat", "kernel_id": "27724006"}, {"ref": "samandarbaxromov/aviacompany", "kernel_id": "27872653"}, {"ref": "shahzodbek/aviakompaniya-topshiriq", "kernel_id": "27619165"}, {"ref": "mvpaaa/aviakompaniya-task", "kernel_id": "28738096"}, {"ref": "sarvarxasanov/aviasales-1-0-2", "kernel_id": "30256777"}, {"ref": "sarvarurazbayev/predicting-passengers-satisfaction-with-airline", "kernel_id": "33787823"}, {"ref": "farkhod77/aviakompaniya-yo-lovchilar", "kernel_id": "35671654"}, {"ref": "hoshimmardonov1/mijozining-norozoligi", "kernel_id": "37543138"}, {"ref": "saidkarim/airline-customer-churn", "kernel_id": "38511336"}, {"ref": "hoshimmardonov1/mijozlarning-noroziligini-aniqlash", "kernel_id": "38028326"}, {"ref": "asrorbekeraliev/airline-company-customer-satisfaction", "kernel_id": "38358951"}, {"ref": "muhriddinmalik/airlines", "kernel_id": "39309236"}, {"ref": "jonikulov/airline-passenger-satisfaction", "kernel_id": "39887319"}, {"ref": "egamberdiotaboyev/airline-passengers-satisfaction-prediction", "kernel_id": "39965367"}, {"ref": "ozodbek/aviocompanya-qoniqish", "kernel_id": "39359019"}, {"ref": "nodirjonmuxammadali/airline-satifiction", "kernel_id": "39550210"}, {"ref": "botirjonkhamidjonov/notebook342020ceb8", "kernel_id": "39884154"}, {"ref": "abduazizabduraxmonov/passenger-satisfication", "kernel_id": "40809544"}, {"ref": "shaxzoddavronov/airline-passengers-satisfaction", "kernel_id": "40768163"}, {"ref": "azizbekboboqulov/predicting-airline-passenger-satisfaction", "kernel_id": "40641778"}, {"ref": "farruxozodov/satisfaction-of-passengers", "kernel_id": "41123201"}, {"ref": "iman0405/aviakompaniya-yo-lovchilarining-qoniqishi-darajasi", "kernel_id": "41830352"}, {"ref": "hasanjonomonov/aviacompany-customer-classification", "kernel_id": "41218264"}, {"ref": "bahodirmaydonov/aviakompaniya-model", "kernel_id": "41518559"}, {"ref": "bahodirmaydonov/airline-passenger-satisfaction", "kernel_id": "41609262"}, {"ref": "shakhbozrazzokov/submission-mohirdev2", "kernel_id": "42563523"}, {"ref": "nurmuhammadmashrapov/diagnos-airplane", "kernel_id": "42124587"}, {"ref": "m280476pr/predic-air-passenger-satisfaction2", "kernel_id": "42318878"}, {"ref": "m280476pr/predic-air-passenger-satisfaction23", "kernel_id": "42256821"}, {"ref": "asadbek1121/aviakompaniya-satisfaction", "kernel_id": "43018932"}, {"ref": "allaberdiyevbekhruz/notebook12", "kernel_id": "44757857"}, {"ref": "rahimabdullaev/aviacompania-churn", "kernel_id": "45866222"}, {"ref": "hojiakbarjumaboyev/passengersatisfaction-csv", "kernel_id": "46869328"}, {"ref": "muydinovoybek/aviakompaniya-mijozlari-qoniqishi", "kernel_id": "46576520"}, {"ref": "abdulloshohraufiy/airline-passangers-satisfaction", "kernel_id": "47568673"}, {"ref": "sardorwwe/aviacompny", "kernel_id": "47206122"}, {"ref": "sardorwwe/aviocompany", "kernel_id": "47456499"}, {"ref": "dilmurodrakhmatovds/satisfication-of-customers", "kernel_id": "47041166"}, {"ref": "ismoil2000/notebook98249febab", "kernel_id": "48521491"}, {"ref": "davrbekmirzakosimov/passangersatisfaction", "kernel_id": "48356658"}, {"ref": "ibragimovuzoqmurod/uzoqmurod-ikki", "kernel_id": "48904740"}, {"ref": "mirfayzirgashevdku/customerchurn", "kernel_id": "48727990"}, {"ref": "jkamalovich/avia-company-customer-churn", "kernel_id": "49820650"}, {"ref": "bobursoliyev/churn-avia-company", "kernel_id": "49883025"}, {"ref": "holmonalp/mohirdev-2-aviakompaniya-mijozlar-qoniqishi", "kernel_id": "49357000"}, {"ref": "arslonbek/predicting-airline-passenger-satisfaction", "kernel_id": "49707049"}, {"ref": "abdullatifkhan/airline", "kernel_id": "50907359"}, {"ref": "dilrabonu/prediction-of-satisfaction-of-aviacompanyb", "kernel_id": "50685292"}, {"ref": "dilrabonu/prediction-satisfaction", "kernel_id": "50698849"}, {"ref": "granddev/customer-churn", "kernel_id": "50993538"}, {"ref": "granddev/notebook454bb83c40", "kernel_id": "50995122"}, {"ref": "granddev/notebookcb24935442", "kernel_id": "50787301"}, {"ref": "idiyorbek/aviakompaniya", "kernel_id": "50257185"}, {"ref": "hamidesbergenov/notebook590a1a1062", "kernel_id": "51874999"}, {"ref": "dovudasadovh/avia-satisfaction-rate", "kernel_id": "51166547"}, {"ref": "khurshiduktamov/aviation-customer-churn-roc-auc-99", "kernel_id": "51129284"}, {"ref": "elshodabdumahkamov/notebook3a29ef5150", "kernel_id": "51488695"}, {"ref": "elshodabdumahkamov/yo-lovchilar-qoniqishini-bashorat-qilish", "kernel_id": "51683036"}, {"ref": "granddev/customerchurn", "kernel_id": "51083409"}, {"ref": "boburjontokhirov/notebook6cbe920049", "kernel_id": "53030436"}, {"ref": "sigmabaxti/aviakompaniya-2-ipynb", "kernel_id": "53322239"}, {"ref": "farhodjaborov/airline", "kernel_id": "53222871"}, {"ref": "kmnklbhvjhv/airline-customer-satisfaction", "kernel_id": "55181680"}, {"ref": "khaydaraliev97/aviakampaniya-yo-lovchilarining-qoniqishi", "kernel_id": "55070608"}, {"ref": "chingiztursunbayev/airline-customer-satisfaction", "kernel_id": "56702196"}, {"ref": "hojiakbardev/aviakompaniya-yo-lovchilarining-qoniqishini-bashor", "kernel_id": "56244256"}, {"ref": "usmonmuhammad/air-customer-churn", "kernel_id": "58877768"}, {"ref": "usmonmuhammad/air-customers-churn", "kernel_id": "59761766"}, {"ref": "sunnatillo91/airline-customer-satisfaction", "kernel_id": "61434018"}, {"ref": "alibekabduaxadov/airline-passenger-satisfaction", "kernel_id": "62397416"}, {"ref": "makhmudovkhondamir/notebooke8a098b5e6", "kernel_id": "63218497"}, {"ref": "asadbeksaydullayev/aviakompaniya-yolovchilarining-qoniqishini-bashor", "kernel_id": "64228227"}, {"ref": "jamshidrajabov/avia-yulovchi", "kernel_id": "67397360"}, {"ref": "humoyunyuldashev/notebook5fac08f616", "kernel_id": "67383155"}, {"ref": "akmalqurbonov/aviatsiya-xizmatlaridan-qoniqish", "kernel_id": "68729974"}, {"ref": "temurusmonaliyev/aircompany-satisfaction-classifier", "kernel_id": "71675820"}, {"ref": "marv787888/aviakompaniya", "kernel_id": "71902575"}, {"ref": "jamshidbej/customer-satisfaction-prediction", "kernel_id": "72372269"}, {"ref": "burxoniddin/aviacompany-customer-satisfaction", "kernel_id": "72075930"}, {"ref": "javokhirraimov/airline-customer-satisfaction", "kernel_id": "72229709"}, {"ref": "sarvarbekjumaboyev/notebookafdee21b21", "kernel_id": "73346438"}, {"ref": "zephyrrpro/airlinechurn-ml-module", "kernel_id": "73389863"}, {"ref": "baxtiyorjon/aviakompaniya-yolovchilari-qoniqishini-bashorati", "kernel_id": "73710928"}, {"ref": "elbekjumayev/avia-kompaniyadan-rozilik", "kernel_id": "74404981"}, {"ref": "azizbekssh/aviakompaniyadan-mijozlarning-qoniqishini-baholash", "kernel_id": "74498734"}, {"ref": "raxmatillo/aviakompaniya", "kernel_id": "75097718"}, {"ref": "raxmatillo/predictaviachipta", "kernel_id": "75088961"}, {"ref": "olimsuyunboyev/aviakompaniya-mijozlari-qoniqish", "kernel_id": "75051636"}, {"ref": "otabekabdullah/ml-classification-model-final-project-flight-satis", "kernel_id": "75438911"}, {"ref": "salohiddinali/customer-satisfication", "kernel_id": "75445567"}, {"ref": "tursunalikhasanov/airline-passenger-satisfaction", "kernel_id": "75699121"}, {"ref": "javokhirminavarov/aviakomaniya-satisfaction", "kernel_id": "77234431"}, {"ref": "ibrokhimmirzaev/airline-passenger-satisfaction", "kernel_id": "77436192"}, {"ref": "jasurbekrasuljonov/satisfaction-with-airline-service", "kernel_id": "77637933"}, {"ref": "jahongirtuychiyev/airline-passengers-satisfaction-predict", "kernel_id": "131704022"}]}
{"competition_id": "36195", "kernels": []}
{"competition_id": "36201", "kernels": [{"ref": "henryisaac123/telecom-churn-prediction-starter-notebook", "kernel_id": "26385650"}]}
{"competition_id": "36228", "kernels": []}
{"competition_id": "36239", "kernels": []}
{"competition_id": "36241", "kernels": []}
{"competition_id": "36242", "kernels": []}
{"competition_id": "36243", "kernels": []}
{"competition_id": "36244", "kernels": []}
{"competition_id": "36245", "kernels": []}
{"competition_id": "36247", "kernels": []}
{"competition_id": "36249", "kernels": []}
{"competition_id": "36251", "kernels": [{"ref": "bykovvladimir/notebookce1fa3e0d4", "kernel_id": "26764975"}]}
{"competition_id": "36256", "kernels": []}
{"competition_id": "36258", "kernels": []}
{"competition_id": "36261", "kernels": []}
{"competition_id": "36262", "kernels": [{"ref": "deliveryreport/start-nbook", "kernel_id": "26933646"}, {"ref": "rutujapisal3/notebook2654266506", "kernel_id": "26949262"}, {"ref": "rahulkarat/telecom-churn-case", "kernel_id": "26943037"}]}
{"competition_id": "36263", "kernels": [{"ref": "deliveryreport/start-notebook", "kernel_id": "26912582"}]}
{"competition_id": "36265", "kernels": []}
{"competition_id": "36268", "kernels": []}
{"competition_id": "36273", "kernels": []}
{"competition_id": "36286", "kernels": []}
{"competition_id": "36297", "kernels": [{"ref": "hannahlevin1/signaturebenchmark-cme-250-shreya-and-hannah", "kernel_id": "27121444"}, {"ref": "hannahlevin1/pcr-cme-250-shreya-and-hannah", "kernel_id": "27121702"}]}
{"competition_id": "36298", "kernels": [{"ref": "kuantinglai/uta-train-devise-w-ur-htag2vec", "kernel_id": "26490158"}, {"ref": "kuantinglai/uta-train-htag2vec-tf1", "kernel_id": "26488622"}]}
{"competition_id": "36300", "kernels": []}
{"competition_id": "36302", "kernels": []}
{"competition_id": "36303", "kernels": []}
{"competition_id": "36304", "kernels": [{"ref": "deepayan137/code-skeleton", "kernel_id": "26493459"}]}
{"competition_id": "36307", "kernels": [{"ref": "kuantinglai/110-2-uta-stock-prediction", "kernel_id": "26494188"}]}
{"competition_id": "36314", "kernels": [{"ref": "skymanaditya1/notebook95bc7630c0", "kernel_id": "26499049"}]}
{"competition_id": "36320", "kernels": [{"ref": "chengyu079/template-hw1", "kernel_id": "26512917"}]}
{"competition_id": "36325", "kernels": []}
{"competition_id": "36326", "kernels": []}
{"competition_id": "36338", "kernels": []}
{"competition_id": "36340", "kernels": []}
{"competition_id": "36342", "kernels": []}
{"competition_id": "36347", "kernels": []}
{"competition_id": "36350", "kernels": []}
{"competition_id": "36356", "kernels": []}
{"competition_id": "36363", "kernels": [{"ref": "allunia/pulmonary-dicom-preprocessing", "kernel_id": "11301778"}, {"ref": "rayaneaggoune/machine-learning-model-for-albedo-of-mercuary-et", "kernel_id": "26370631"}, {"ref": "kretes/fork-of-great-eda-with-fix-for-slice-count-dist", "kernel_id": "29450612"}, {"ref": "kretes/pixdim-spacing-distributions", "kernel_id": "29451076"}, {"ref": "kretes/rsna2022-cervical-baseline-with-weights", "kernel_id": "29248424"}, {"ref": "kretes/segmentations-fracture-zoom-in", "kernel_id": "29226983"}, {"ref": "hmendonca/timm-inference-performance-benchmarks", "kernel_id": "29354894"}, {"ref": "allunia/rsna-csf-cervical-spine-fracture-eda", "kernel_id": "29185690"}, {"ref": "paulorzp/rsna2022-cervical-baseline", "kernel_id": "29201658"}, {"ref": "bryanb/rsna-csf-quick-eda", "kernel_id": "29183303"}, {"ref": "vslaykovsky/pytorch-effnetv2-vertebrae-detection-acc-0-95", "kernel_id": "29901074"}, {"ref": "vslaykovsky/infer-pytorch-effnetv2-single-model-lb-0-49", "kernel_id": "29918858"}, {"ref": "vslaykovsky/train-pytorch-effnetv2-baseline-cv-0-49", "kernel_id": "29692547"}, {"ref": "lhd0430/rsna-csfd-detectron2-starter", "kernel_id": "29260756"}, {"ref": "anubhav1302/rsna-cervical-quickeda", "kernel_id": "29237464"}, {"ref": "vbookshelf/yolov5-cervical-spine-neck-fracture-detection", "kernel_id": "29451937"}, {"ref": "anoukstein/segment-cspine-notebook-1-2-create-data", "kernel_id": "29878320"}, {"ref": "anoukstein/how-to-deal-with-no-internet-allowed", "kernel_id": "29994761"}, {"ref": "anoukstein/combine-3-center-sagittal-images-into-one", "kernel_id": "29604682"}, {"ref": "anoukstein/visualize-segmentation-in-sagittal-views", "kernel_id": "29541465"}, {"ref": "anoukstein/simplify-data-by-creating-sagittal-slices", "kernel_id": "29537299"}, {"ref": "bluech/dicom-eda-wip-cspine-fracture-detection", "kernel_id": "29162230"}, {"ref": "saad96/eda-voxel-reconstruction", "kernel_id": "29432417"}, {"ref": "datark1/what-are-dcm-and-nii-files-and-how-to-read-them", "kernel_id": "29183831"}, {"ref": "kvsnoufal/convnext-on-sagittal-slices", "kernel_id": "29645357"}, {"ref": "docxian/rsna-2022-fracture-detection-first-impressions", "kernel_id": "29170366"}, {"ref": "kongaevans/tensorflow-data-input-pipeline-alexnet-cnn", "kernel_id": "29452429"}, {"ref": "shihhsuanchen/cspine-overview", "kernel_id": "29841639"}, {"ref": "shihhsuanchen/cspine-overview-analysis", "kernel_id": "29861488"}, {"ref": "ikorol/creating-data-set-with-preprocessed-dcm-images", "kernel_id": "29993370"}, {"ref": "fepegar/torchio-3d-loading-preprocessing-augmentation", "kernel_id": "29282182"}, {"ref": "rupeshs/quick-eda", "kernel_id": "29253514"}, {"ref": "oscarm524/fracture-detection-eda", "kernel_id": "29462932"}, {"ref": "ipythonx/cervical-spine-fracture-detection-quick-eda", "kernel_id": "29160134"}, {"ref": "arka1993/ab-rsna-baseline", "kernel_id": "29380250"}, {"ref": "arka1993/organisingdata-ab", "kernel_id": "29206896"}, {"ref": "itsuki9180/a-segmentation-is-in-reverse-order", "kernel_id": "29962900"}, {"ref": "itsuki9180/rsna-2022-tf-keras-traing-phase-with-tpu", "kernel_id": "29673027"}, {"ref": "itsuki9180/rsna-2022-tf-keras-inference-phase-with-gpu", "kernel_id": "29687181"}, {"ref": "itsuki9180/create-idwise-tf-records", "kernel_id": "29663033"}, {"ref": "itsuki9180/rsna2022-pydicom-conda-helper", "kernel_id": "29734705"}, {"ref": "yosukeyama/rsna2022-comp-metric", "kernel_id": "29603864"}, {"ref": "mpwolke/nibabel-and-voxel-spaces", "kernel_id": "29278849"}, {"ref": "mpwolke/cervical-fractures-pydicom-fastai", "kernel_id": "29259111"}, {"ref": "iuryck/positioning-of-vertebrae-building-a-classifier", "kernel_id": "29435033"}, {"ref": "iuryck/positioning-of-cervical-spine-scans", "kernel_id": "29187673"}, {"ref": "barteksadlej123/rsna-2022-cervical-spine-monai-numpy-input", "kernel_id": "29781498"}, {"ref": "leventelippenszky/rgb-images-from-spatially-adjacent-slices", "kernel_id": "29705489"}, {"ref": "leventelippenszky/rsna-eda-dicom-segmentations-bboxes-3d-plot", "kernel_id": "29351654"}, {"ref": "gustavolmourao/rsna-eval", "kernel_id": "29700398"}, {"ref": "andradaolteanu/rsna-fracture-detection-dicom-images-explore", "kernel_id": "29241557"}, {"ref": "andradaolteanu/rsna-fracture-detect-pytorch-densenet-train", "kernel_id": "29781212"}, {"ref": "abebe9849/training-exp002dino0039", "kernel_id": "29706301"}, {"ref": "queyrusi/fastest-submission-in-the-west", "kernel_id": "29162077"}, {"ref": "dinowun/eda-simplified-rsna-cfd", "kernel_id": "29171080"}, {"ref": "songseungwon/break-time-just-enjoy-drawing-3d-cervical-spine", "kernel_id": "29189777"}, {"ref": "songseungwon/eda-let-s-draw-the-fracture-more-clearly", "kernel_id": "29251144"}, {"ref": "shreydan/understanding-the-dataset-eda-animation", "kernel_id": "29962263"}, {"ref": "tscheung/quick-data-look-rough-data-clean-easy-cnn", "kernel_id": "29165409"}, {"ref": "tscheung/easy-tf-cnn-quick-submission", "kernel_id": "29226625"}, {"ref": "udaykiran007/notebook007f5e7170", "kernel_id": "29676826"}, {"ref": "alexandrecaldeiraufv/rnsa2022-caldeira-eda", "kernel_id": "29518410"}, {"ref": "muki2003/display-dicom-and-nifti-format-s", "kernel_id": "29159862"}, {"ref": "debarpanml/vertebrae-classification-accuracy-100", "kernel_id": "29942874"}, {"ref": "jirkaborovec/spine-fracture-convert-dicom-imgs-3d-volume", "kernel_id": "29244547"}, {"ref": "jirkaborovec/spinefrac-classif-e2e-lightning-monai-3d", "kernel_id": "29287694"}, {"ref": "jirkaborovec/spine-fracture-eda-loading-dicom-3d-browse", "kernel_id": "29187850"}, {"ref": "jirkaborovec/spine-fracture-convert-dicom-equalized-png", "kernel_id": "29196103"}, {"ref": "kokihayashiutlemon/notebookdd944999a7", "kernel_id": "29751515"}, {"ref": "maunilshah/rsna-cervical-spine-fracture-detection", "kernel_id": "29270684"}, {"ref": "bardiakh/monai-io-windowing-overlay-saving", "kernel_id": "29225355"}, {"ref": "pathikghugare/data-prep-rsna-2022-fracture-detection", "kernel_id": "29704301"}, {"ref": "pathikghugare/eda-rsna-2022-fracture-detection", "kernel_id": "29298417"}, {"ref": "prakashjyy/rsna-cervical-spine-eda", "kernel_id": "29603889"}, {"ref": "tomasfilip/vertebrae-detection-pt-lightning-monai", "kernel_id": "29779110"}, {"ref": "toghrultahirov/tensorflow-simple-cnn-architecture", "kernel_id": "29437222"}, {"ref": "mridulmittal/iiita-final-submission", "kernel_id": "29986081"}, {"ref": "contact2028/load-libraries-for-offline-package-installations", "kernel_id": "29975503"}, {"ref": "contact2028/rsna-pip-wheel-for-offline-package-installations", "kernel_id": "29975838"}, {"ref": "nghihuynh/rsna-cervical-spine-fracture-eda", "kernel_id": "29923949"}, {"ref": "andir16/rsna-2022-cervical-spine-fracture-detection-eda", "kernel_id": "29729500"}, {"ref": "ajiiscbanglore/rsna-2022", "kernel_id": "29858204"}, {"ref": "akshatpattiwar/rsna-2022-cervical-spine-fracture-detection-eda", "kernel_id": "29551216"}, {"ref": "christianklaus/fastai-approach-is-the-cervical-spine-fractured", "kernel_id": "29422353"}, {"ref": "sichi5874/loading-dicom-images-visualize-as-3d-planes", "kernel_id": "29195216"}, {"ref": "eliudmunyala/teamkenya-eda", "kernel_id": "29547595"}, {"ref": "vmuzhichenko/rsna-22-dicom-to-numpy-3d", "kernel_id": "29647625"}, {"ref": "vmuzhichenko/rsna-22-segmentations-3d-scatters", "kernel_id": "29653697"}, {"ref": "vmuzhichenko/rsna-22-resnet-50-3d-train", "kernel_id": "29662756"}, {"ref": "vmuzhichenko/rsna-22-resnet-50-3d-inference", "kernel_id": "29688864"}, {"ref": "rsiva1104/data-analysis-spine-fracture-detection", "kernel_id": "29244339"}, {"ref": "mohdmuttalib/cervical-fractures-pydicom-fastai", "kernel_id": "29282607"}, {"ref": "samanthahassal/cervical-spine-fracture", "kernel_id": "29254120"}, {"ref": "theodosiospountridis/rsna-2022", "kernel_id": "29406756"}, {"ref": "samuelcortinhas/extracting-vertebrae-c1-c7", "kernel_id": "29576429"}, {"ref": "samuelcortinhas/rsna-fracture-detection-in-depth-eda", "kernel_id": "29512762"}, {"ref": "samuelcortinhas/rnsa-3d-model-train-pytorch", "kernel_id": "29896924"}, {"ref": "samuelcortinhas/rnsa-3d-model-infer-pytorch", "kernel_id": "29915584"}, {"ref": "samuelcortinhas/rsna-ct-gifs", "kernel_id": "29709536"}, {"ref": "jlcordoba/rsna-2022-data-analysis", "kernel_id": "29879853"}, {"ref": "prathamsaraf1389/eda-of-the-data", "kernel_id": "29707435"}, {"ref": "garyltang/assign-each-dcm-with-location-in-spine-like-c1-c7", "kernel_id": "29715112"}, {"ref": "hitarthagarwal/fork-of-rsnacf-comp1", "kernel_id": "29449150"}, {"ref": "hitarthagarwal/rsnacf-comp1", "kernel_id": "29444667"}, {"ref": "jacobcomeau/testing-images-rsna", "kernel_id": "29514454"}, {"ref": "eimantasma/notebook9d9fa27e68", "kernel_id": "29639141"}, {"ref": "robber19/ir3d-inference", "kernel_id": "29765718"}, {"ref": "robber19/monai-vit", "kernel_id": "29953924"}, {"ref": "thedevastator/tf-rsna-efficient-net-baseline", "kernel_id": "29201638"}, {"ref": "ssutharsan20/rsna-2022-cervical-spine-fracture-detection-eda", "kernel_id": "29535826"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "maxmelichov/help-me", "kernel_id": "29806891"}, {"ref": "handsomeevy/data-pre-processing-for-rsna-part2", "kernel_id": "29236227"}, {"ref": "handsomeevy/data-pre-processing-for-rsna", "kernel_id": "29179140"}, {"ref": "ijcmian/rsna-deep-learning", "kernel_id": "29619397"}, {"ref": "ayanjhunjhunwala/ayan-efficientnetimprove", "kernel_id": "29632388"}, {"ref": "nitheesh66/notebook-tryit", "kernel_id": "29533120"}, {"ref": "darraghdog/rsna2022-pip-wheels", "kernel_id": "30532561"}, {"ref": "vaillant/rsna-c-spine-submission", "kernel_id": "30691716"}, {"ref": "amineteffal/helloworld-rsna", "kernel_id": "30231106"}, {"ref": "jackchungchiehyu/vertebrae-segmentation-with-totalsegmentator", "kernel_id": "30269294"}, {"ref": "solverworld/rsna2022-comp-metric", "kernel_id": "30717837"}, {"ref": "yiheng/loading-3d-image-and-mask-with-monai", "kernel_id": "30518159"}, {"ref": "yiheng/prepare-nii-format-data-with-monai", "kernel_id": "30632432"}, {"ref": "anoukstein/cspine-reduce-data-by", "kernel_id": "30272651"}, {"ref": "anoukstein/segment-cspine-notebook-2-2", "kernel_id": "30000617"}, {"ref": "anoukstein/dicom-conversion-comparison-lossless", "kernel_id": "30436329"}, {"ref": "anoukstein/segment-cspine-notebook-3", "kernel_id": "30622619"}, {"ref": "aparida/vit-trials", "kernel_id": "30532901"}, {"ref": "bbueno5000/notebook97601f960b", "kernel_id": "30997568"}, {"ref": "chenjiexu/convert-dicom-into-nifti-file", "kernel_id": "30851561"}, {"ref": "chenjiexu/ignite-metric-implementation", "kernel_id": "30948434"}, {"ref": "khairoo/quick-look-of-segmentations-images", "kernel_id": "30156804"}, {"ref": "juhjoo/0-56-tf-keras-efficientnet-rsna-training", "kernel_id": "30154704"}, {"ref": "juhjoo/rsna-2022-tfrecords", "kernel_id": "30021300"}, {"ref": "arunodhayan/effib1ns", "kernel_id": "30228345"}, {"ref": "bernardohenz/dataset-test-sorted", "kernel_id": "30083128"}, {"ref": "stpeteishii/cervical-spine-fracture-dicom-image-animation", "kernel_id": "30282281"}, {"ref": "xuxiaoxi/inference-pytorch-effnetv2", "kernel_id": "30721474"}, {"ref": "barteksadlej123/working-with-extracted-features-baseline-pytorch", "kernel_id": "30255059"}, {"ref": "rahanapa/rsna-efficientnet", "kernel_id": "30042498"}, {"ref": "rahanapa/rsna-efficientnet-baseline", "kernel_id": "30865409"}, {"ref": "leventelippenszky/extract-effnetv2-embeddings", "kernel_id": "30697779"}, {"ref": "krenerd/22-09-06-vertabrae-segmentation", "kernel_id": "30120214"}, {"ref": "abebe9849/stage2-tra-deb-all-1w3s", "kernel_id": "30420532"}, {"ref": "fengyaoluo/rsna-fracture-detection-data-exploration", "kernel_id": "30128160"}, {"ref": "sparkyjunior/windowing-in-ct-scans", "kernel_id": "30714881"}, {"ref": "aarpit1010/yolov5-cervical-spine-neck-fracture-detection", "kernel_id": "30761156"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "mridulmittal/pytorch-multi-input-try-1", "kernel_id": "30277805"}, {"ref": "mridulmittal/rfc-vertebrae-prediction", "kernel_id": "30020386"}, {"ref": "henriupton/rsna-fracture-detection", "kernel_id": "30262403"}, {"ref": "piyushgurjar/pytorch-multi-input-try-2", "kernel_id": "30304036"}, {"ref": "piyushgurjar/trying-new-yolov5-version", "kernel_id": "30760914"}, {"ref": "piyushgurjar/vertebrae-classification", "kernel_id": "30753911"}, {"ref": "andir16/rsna-2022-sagittal-view", "kernel_id": "30402399"}, {"ref": "vedaantjain/cervical-spine-fracture-detection-train", "kernel_id": "30298977"}, {"ref": "kheyduzoomryou/ranzcr-efficientnet-submission-b982d7", "kernel_id": "30648600"}, {"ref": "charliezimmerman/competition-metric-numpy-train-format-v2", "kernel_id": "30193261"}, {"ref": "eliudmunyala/modelling-teamkenya", "kernel_id": "30496505"}, {"ref": "tsumayoji3/rsna-train-segmentation-3d-baseline", "kernel_id": "30037516"}, {"ref": "gahyunson/train-bounding-boxes-train-csv-checking", "kernel_id": "30987470"}, {"ref": "othmanech/notebookec3f41a49f", "kernel_id": "30435153"}, {"ref": "drrajkulkarni/rsnaesnet50-2l7-rsna", "kernel_id": "30632379"}, {"ref": "drrajkulkarni/rsna-monai-mini-densenet121", "kernel_id": "30355722"}, {"ref": "drrajkulkarni/rsna-competition-weights", "kernel_id": "30423103"}, {"ref": "drrajkulkarni/pytorch-rsna-mini-resnet50", "kernel_id": "30232623"}, {"ref": "junhyeonkwon/about-dcm-orientation", "kernel_id": "30504611"}, {"ref": "junhyeonkwon/plot-subjects-outliers", "kernel_id": "30605370"}, {"ref": "samuelcortinhas/rnsa-2d-model-train-pytorch", "kernel_id": "30427277"}, {"ref": "samuelcortinhas/rnsa-2d-model-infer-pytorch", "kernel_id": "30476186"}, {"ref": "samuelcortinhas/rnsa-2d-model-re-train-pytorch", "kernel_id": "30525588"}, {"ref": "samuelcortinhas/rnsa-2d-model-validate-pytorch", "kernel_id": "30501554"}, {"ref": "weixinxu/submit-baseline", "kernel_id": "30225170"}, {"ref": "weixinxu/infer-pytorch-effnetv2-single-model-pl-0-49", "kernel_id": "30067118"}, {"ref": "khashayarrahimi94/no-ml-just-statistical-analysis", "kernel_id": "30637667"}, {"ref": "mersotc/load-jpeg-lossless-images-with-simpleitk", "kernel_id": "30195397"}, {"ref": "rogerautomatizado/3d-numpy-data-3d-model", "kernel_id": "30163147"}, {"ref": "robber19/vit3d-infer", "kernel_id": "30703706"}, {"ref": "robber19/vit-3d-train", "kernel_id": "30851829"}, {"ref": "denisonpatison/simple-submission", "kernel_id": "30998043"}, {"ref": "sachittarora/cervical-spine-detection", "kernel_id": "30750087"}, {"ref": "peisinpeisin/spine-detect", "kernel_id": "30139699"}, {"ref": "hikarutabata/rnsa-resnet50-3d-model-infer-pytorch", "kernel_id": "30299354"}, {"ref": "moraleseoscar/proyecto-fracturas-vertebras-cervicales", "kernel_id": "30514855"}, {"ref": "kerryduan/vertebrae-detection", "kernel_id": "30505943"}, {"ref": "chuckhatt/dummy-notebook", "kernel_id": "30314893"}, {"ref": "saveyasoul/understanding-the-dataset-eda-animation", "kernel_id": "30919205"}, {"ref": "saveyasoul/spine-project", "kernel_id": "30919243"}, {"ref": "titericz/cx-segmentation", "kernel_id": "31749820"}, {"ref": "fx6300/kaggle-error", "kernel_id": "31389322"}, {"ref": "fx6300/binary-search-vs-glob-glob-which-one-is-faster", "kernel_id": "31286430"}, {"ref": "fx6300/binary-weighted-log-loss", "kernel_id": "31246383"}, {"ref": "darraghdog/blend-4fgx1-4fgx2-4ggx1-4fcrop3gx1", "kernel_id": "31696884"}, {"ref": "darraghdog/rsna-2022-3rd-place-solution-inference", "kernel_id": "31839452"}, {"ref": "haqishen/rsna-2022-1st-place-solution-inference", "kernel_id": "31816511"}, {"ref": "haqishen/rsna-2022-1st-place-solution-train-stage2-type1", "kernel_id": "31791649"}, {"ref": "haqishen/rsna-2022-1st-place-solution-train-stage1", "kernel_id": "31788937"}, {"ref": "haqishen/rsna-2022-1st-place-solution-train-stage2-type2", "kernel_id": "31793776"}, {"ref": "haqishen/rsna-sub-final", "kernel_id": "31715884"}, {"ref": "shigengtian/window-infer-single-model-lb", "kernel_id": "31604931"}, {"ref": "vigneshirtt/rsna2022-keras-competition-loss", "kernel_id": "31219290"}, {"ref": "harshitsheoran/rsna-2022-8th-place-3-fracture", "kernel_id": "31847329"}, {"ref": "harshitsheoran/rsna-2022-8th-place-2-axial", "kernel_id": "31848932"}, {"ref": "harshitsheoran/rsna-2022-8th-place-4-study", "kernel_id": "31860920"}, {"ref": "harshitsheoran/rsna-2022-8th-place-1-sagittal", "kernel_id": "31823385"}, {"ref": "harshitsheoran/8th-place-inference", "kernel_id": "31043687"}, {"ref": "bhallaakshit/rsna-22-preprocessing", "kernel_id": "31233507"}, {"ref": "ktgiahieu/train-effnetv2-s-demo", "kernel_id": "31256752"}, {"ref": "changewow/kagglersna2022-clsdata", "kernel_id": "31118739"}, {"ref": "ilu000/rsna-pip-wheels-v3", "kernel_id": "31945097"}, {"ref": "lsl000ud/rsna2022-7th-place-inference", "kernel_id": "31460445"}, {"ref": "mpwolke/holy-moly-no-boxes-again", "kernel_id": "31513162"}, {"ref": "leventelippenszky/two-stage-lstm-gru-on-effnetv2-embeddings", "kernel_id": "31058309"}, {"ref": "longyikim/22nd-inference-code", "kernel_id": "31341239"}, {"ref": "hideyukizushi/rsna-inf-blend-a-510-e-101", "kernel_id": "31732536"}, {"ref": "satwikkamarthi/deep-learning-data-exploration", "kernel_id": "31145268"}, {"ref": "fengyaoluo/torchio-preprocess-augmentation", "kernel_id": "31546640"}, {"ref": "mindw96/new-effv2-submit", "kernel_id": "31679212"}, {"ref": "ankitraj23/rsna-2022-tf-keras-inference-phase-with-gpu", "kernel_id": "31380969"}, {"ref": "ankitraj23/rsna-2022-tf-keras-training-phase-with-tpu", "kernel_id": "31126370"}, {"ref": "ankitraj23/create-idwise-tf-records", "kernel_id": "31153183"}, {"ref": "myominhtet/efficientnet-v2-infer", "kernel_id": "31064678"}, {"ref": "myominhtet/learning-medical-image", "kernel_id": "31791322"}, {"ref": "ilikedeeplearning/eda-insights-cervical-fracture-detection-rsna", "kernel_id": "31270882"}, {"ref": "bachaboos/rsna-2022-tf-keras-tpu-arcface", "kernel_id": "31076709"}, {"ref": "vladislavmun/i-am-the-storm-that-is-approaching", "kernel_id": "31746946"}, {"ref": "piyushgurjar/c1-c7", "kernel_id": "31271550"}, {"ref": "nghihuynh/rsna-2022-convnext-lstm-inference", "kernel_id": "31511796"}, {"ref": "abdulkadirguner/subisi-3", "kernel_id": "31739748"}, {"ref": "juwonyeo/rsna-fracture-detection-ensemble", "kernel_id": "31308828"}, {"ref": "morganmb/data-preparation-64x64x64-interpol-order-3", "kernel_id": "31524279"}, {"ref": "morganmb/3d-conv-inference-phase", "kernel_id": "31585886"}, {"ref": "devhuria/medical-testing", "kernel_id": "31583771"}, {"ref": "hemanthte0119065/tensorflow-data-input-pipeline-alexnet-c-352f9b", "kernel_id": "31237653"}, {"ref": "maniklakherwal/basic-image-processing-understanding", "kernel_id": "31127067"}, {"ref": "mohdmuttalib/spine-fracture-detection-project-eda", "kernel_id": "31033412"}, {"ref": "capijose/rsna-fracture-detection-dicom-images-explore", "kernel_id": "31653518"}, {"ref": "choyeojung/rsna-fracture-detect-pytorch-densenet-train", "kernel_id": "31384342"}, {"ref": "mariuszwisniewski/rsna-fracture-detection-eda", "kernel_id": "31443715"}, {"ref": "qihuagong/mlsp-animation", "kernel_id": "31359533"}, {"ref": "roniheka/a-silver-solution-2-5d-model-w-efficientnet", "kernel_id": "31763600"}, {"ref": "seyered/eda-rsna-2022-cervical-spine", "kernel_id": "31435150"}, {"ref": "hugoroman/proyecto-fracturas-vertebras-cervicales", "kernel_id": "31843757"}, {"ref": "cbeaud/rsna-fracture-detection-ensemble-solution", "kernel_id": "31159219"}, {"ref": "robber19/efficientnet-v2-rsna", "kernel_id": "31138791"}, {"ref": "chenboluo/infer-pytorch-effnetv2-single-model-mlp", "kernel_id": "31201365"}, {"ref": "denisonpatison/baseline-submission-template", "kernel_id": "31113385"}, {"ref": "significantbutter/preprocess-cropping-vertebrae-with-yolo", "kernel_id": "31349834"}, {"ref": "significantbutter/train-infer-cropping-vertebrae-with-yolo", "kernel_id": "31361042"}, {"ref": "vulpestrader/rsna-fracture-detection-ensemble-solution", "kernel_id": "31398961"}, {"ref": "moraleseoscar/proyecto-2-predicci-n", "kernel_id": "31822070"}, {"ref": "selimsef/rsna-csn-segmentor-classifier", "kernel_id": "32035832"}, {"ref": "ilu000/rsna2022-5th-place-solution-inference", "kernel_id": "32093574"}, {"ref": "abdallahmahmoud/project-baseline", "kernel_id": "32960526"}, {"ref": "mridulmittal/yolo-random-forest", "kernel_id": "32795555"}, {"ref": "atikarahmanpaddo/rsna-2022-1st-place-solution-train-stage1", "kernel_id": "32647304"}, {"ref": "mariuszwisniewski/rsna-fracture-detection-dicom-to-3d-numpy-volume", "kernel_id": "32139247"}, {"ref": "leehyunan/nnunet", "kernel_id": "32318766"}, {"ref": "crischir/a-wavelet-layer-for-tensorflow-eda", "kernel_id": "33922400"}, {"ref": "abdallahmahmoud/project-baseline-513474", "kernel_id": "33923893"}, {"ref": "mohammadmakahleh/just-rsna-2022", "kernel_id": "33766616"}, {"ref": "atikarahmanpaddo/rsna-2022-8th-place-1-sagittal-atika", "kernel_id": "33518472"}, {"ref": "atikarahmanpaddo/rsna-2022-1st-place-solution-inference", "kernel_id": "33988346"}, {"ref": "mariuszwisniewski/interpreting-2-stage-3d-csn-with-saliency-maps", "kernel_id": "33105895"}, {"ref": "mariuszwisniewski/rsna-fracture-detection-grad-cam-poc", "kernel_id": "33103221"}, {"ref": "mariuszwisniewski/rsna-fd-data-preparation-for-object-detection", "kernel_id": "33677594"}, {"ref": "mariuszwisniewski/yolov5-cervical-spine-neck-fracture-detection", "kernel_id": "33722831"}, {"ref": "omarazakaria/project-baseline", "kernel_id": "33904932"}, {"ref": "nadeennnassif/machine-learning-417", "kernel_id": "33926822"}, {"ref": "nadeennnassif/project-baseline", "kernel_id": "33914724"}, {"ref": "nadeennnassif/project-ml", "kernel_id": "33543251"}, {"ref": "sungraewoo/rsna-2022-effnet2", "kernel_id": "33111174"}, {"ref": "haqishen/rsna-2022-1st-place-solution-4-toronto", "kernel_id": "34495568"}, {"ref": "narender29/nar-case-study-2-2", "kernel_id": "34839445"}, {"ref": "fauzanmohammed/eda-rsnaa", "kernel_id": "34833387"}, {"ref": "rishikanajam/cervical-spine-cnn", "kernel_id": "34480343"}, {"ref": "salemalaliv/fork-of-yolov5-collab-atempt", "kernel_id": "34397408"}, {"ref": "saveyasoul/simple-cnn", "kernel_id": "34810514"}, {"ref": "darraghdog/utoronoto-rsna-2022-3rd-place", "kernel_id": "35469395"}, {"ref": "joshhanley/utoronoto-rsna-2022-3rd-place", "kernel_id": "35473850"}, {"ref": "alrzsdgh/light-cervical-spinal-cord-dataset-deep-learning", "kernel_id": "35209304"}, {"ref": "hibaaltaf1/ap-research-mcc-model", "kernel_id": "35540801"}, {"ref": "doyeonkimm/croppingvoxel29slices", "kernel_id": "35643850"}, {"ref": "doyeonkimm/croppingvoxel24slices", "kernel_id": "35644912"}, {"ref": "doyeonkimm/croppingvoxel20slices", "kernel_id": "35644939"}, {"ref": "doyeonkimm/stage-2-29-slices", "kernel_id": "35669640"}, {"ref": "srilathachebrolu/rsna-cervical-spine", "kernel_id": "36797132"}, {"ref": "yashkaka/cervical-spine-fracture-76", "kernel_id": "36009646"}, {"ref": "doyeonkimm/convert-to-npz-file-test-icon", "kernel_id": "36449502"}, {"ref": "doyeonkimm/stage2-preprocessing-sagittal-view-labels-only", "kernel_id": "36428530"}, {"ref": "doyeonkimm/windowing-preprocessing-technique-dataset", "kernel_id": "36014778"}, {"ref": "neelipraveennitap/3rd-place-inference", "kernel_id": "36825899"}, {"ref": "doyeonkimmm/stage-1-window-multilabel", "kernel_id": "36811654"}, {"ref": "doyeonkimmmmm/preprocessing-stage-2-cropping-voxel", "kernel_id": "36387747"}, {"ref": "doyeonkimmmmm/stage-2-cropping-voxel", "kernel_id": "36393787"}, {"ref": "doyeonkimm/train-infer-cropping-vertebrae-with-yolo", "kernel_id": "37363219"}, {"ref": "doyeonkimm/stage-1-window-multilabel-yolo-cropped-new", "kernel_id": "37384014"}, {"ref": "doyeonkimm/preprocess-cropping-vertebrae-with-yolo", "kernel_id": "37399794"}, {"ref": "doyeonkimm/stage-2-cracknet-lstm-yolo-window", "kernel_id": "37609716"}, {"ref": "doyeonkimm/stage-1-window-multilabel", "kernel_id": "37072567"}, {"ref": "farahtarekmuhamad/preprocess-cropping-vertebrae-with-yolo", "kernel_id": "37016124"}, {"ref": "doyeonkimmmmm/stage-1-window-multilabel-new", "kernel_id": "37194803"}, {"ref": "maryamsheriff/preprocess-cropping-vertebrae-with-yolo", "kernel_id": "38520810"}, {"ref": "nadanofal/rsna-22-resnet-50-3d-inference-2cf756", "kernel_id": "38656427"}, {"ref": "nadanofal/rsna-22-resnet-50-3d-train-d3aa0a", "kernel_id": "38511776"}, {"ref": "domingojcn3/p1-detecci-n-de-fracturas-en-v-rtebras-ce", "kernel_id": "38426234"}, {"ref": "domingojosecaballero/p2-detecci-n-de-fracturas-en-v-rtebras-ce", "kernel_id": "38403426"}, {"ref": "domingojosecaballero/p1-unet-detecci-n-de-fracturas-en-v-rtebras-ce-35", "kernel_id": "38595058"}, {"ref": "ujjwalkar0/cervical-fracture-detection", "kernel_id": "38838259"}, {"ref": "ujjwalkar0/extract-images-and-masks", "kernel_id": "38419288"}, {"ref": "doyeonkimm/stage-2-processing-1-effunet-2-cracknet-blstm", "kernel_id": "39702133"}, {"ref": "calvchen/rsna2022-2nd-place-inference", "kernel_id": "40640767"}, {"ref": "rayaneaggoune/cerviscan3603dseg", "kernel_id": "40620012"}, {"ref": "doyeonkimm/preprocessing-stage-2-cropping-voxel", "kernel_id": "40570127"}, {"ref": "rayaneaggoune/eda-csf-pfc", "kernel_id": "41328653"}, {"ref": "rishithatimmisetty/rishitha-thulasi-yagnesh-s-project", "kernel_id": "41363416"}, {"ref": "rishithatimmisetty/mini-proj", "kernel_id": "41785239"}, {"ref": "ritvik916/cervical-spine-ritvik-kaggle", "kernel_id": "42757137"}, {"ref": "draculemihawk/newnotebook1", "kernel_id": "42109792"}, {"ref": "saikiranvarma/rsna-identify-vertebrae", "kernel_id": "43876496"}, {"ref": "saikiranvarma/store-segmentation-npy", "kernel_id": "43639540"}, {"ref": "saikiranvarma/statistical-summary-of-data-and-eda", "kernel_id": "43206184"}, {"ref": "chrisrichardmiles/rsna-2023-train-stage1-seg-mask", "kernel_id": "43997883"}, {"ref": "rayaneaggoune/vit-yolo8", "kernel_id": "43314825"}, {"ref": "rayaneaggoune/yolov5-cervical-spine-neck-fracture-detection", "kernel_id": "43639633"}, {"ref": "rayaneaggoune/faster-r-cnn-next-vit-pipeline-and-cloud-system", "kernel_id": "43569278"}, {"ref": "tejomanasa/cervical", "kernel_id": "43460304"}, {"ref": "annaray/vitfstrrcnn", "kernel_id": "43652347"}, {"ref": "azkaban232sndn/notebookcced64341b", "kernel_id": "43382791"}, {"ref": "saikiranvarma/visualizing-segmented-train-image", "kernel_id": "44934211"}, {"ref": "saikiranvarma/identify-vertebrae-using-cnn", "kernel_id": "44785320"}, {"ref": "ritvik916/cervical-spine", "kernel_id": "44635493"}, {"ref": "shivam210014/video-r3d-18-wcel", "kernel_id": "44665310"}, {"ref": "lwr6608/rsna2022-seg-dcm-to-3d-masks", "kernel_id": "45191989"}, {"ref": "heyangyoung/rsna-csn-heyang", "kernel_id": "45244060"}, {"ref": "heyangyoung/heyang-rsna2022", "kernel_id": "45214645"}, {"ref": "greatinnovations/2d-3d-pix2vox-2d-von", "kernel_id": "46239202"}, {"ref": "neelipraveennitap/swintrans-focalloss", "kernel_id": "47777038"}, {"ref": "neelipraveennitap/mvit-adamwcl", "kernel_id": "47829990"}, {"ref": "hanzuu/chest-x-ray", "kernel_id": "47618059"}, {"ref": "shrey27tri01/what-are-dcm-and-nii-files-and-how-to-read-them", "kernel_id": "48303144"}, {"ref": "ritvik916/freshrun", "kernel_id": "51136908"}, {"ref": "poojareddyputta/abdominal-spinal-cord", "kernel_id": "52046231"}, {"ref": "neelipraveen2/auto-encoder-filtered", "kernel_id": "52892127"}, {"ref": "chelshu/abdominal-spinal", "kernel_id": "52042464"}, {"ref": "suguruiwashiro/baseline-spine-fracture-detection", "kernel_id": "54569877"}, {"ref": "neelipraveennitap/video-resnet3d-r18-new", "kernel_id": "54172615"}, {"ref": "neelipraveennitap/auto-encoder-new", "kernel_id": "54764372"}, {"ref": "dylanditta/data-exploration-imagio", "kernel_id": "54759128"}, {"ref": "soujatyasarkar/effib1ns", "kernel_id": "55105360"}, {"ref": "neelipraveennitap/classifier-wcel-final", "kernel_id": "55627984"}, {"ref": "neelipraveennitap/seres152-wcel-final", "kernel_id": "55624539"}, {"ref": "neelipraveennitap/mvit-wcel-final", "kernel_id": "55621053"}, {"ref": "neelipraveennitap/s3d-wcel-final", "kernel_id": "55621542"}, {"ref": "neelipraveennitap/auto-encoder-wcel-final", "kernel_id": "55621856"}, {"ref": "neelipraveennitap/swintrans-wcel-final", "kernel_id": "55623410"}, {"ref": "anithabukke/efficientvit", "kernel_id": "55450057"}, {"ref": "sarafakhry/medical-project-cnn-na2s", "kernel_id": "55481967"}, {"ref": "ayumanz/major-project-cervicle-spine-fracture-detectio", "kernel_id": "56327482"}, {"ref": "loraouf/rsna-medicall", "kernel_id": "56853891"}, {"ref": "anshupandey1910/project-cervicle-spine-fracture-final-version", "kernel_id": "56330008"}, {"ref": "hazemnasr/rsna-medicall-hazem-s", "kernel_id": "56907342"}, {"ref": "dylanditta/bounding-box-inspector", "kernel_id": "57146220"}, {"ref": "deekshithnaikbukke/efficient-vision-transformer", "kernel_id": "60430241"}, {"ref": "spandanaelitam/cervical-spine-fracture-detection-quick-eda", "kernel_id": "62271696"}, {"ref": "dasher123/cervical-facture-detection-eda-and-training", "kernel_id": "64621909"}, {"ref": "yosukeyama/delete-dicom-tag", "kernel_id": "65642507"}, {"ref": "rayaneaggoune/cervical-spine-discover", "kernel_id": "65387597"}, {"ref": "kalvakaushik/rsna-cervical-spine", "kernel_id": "65227189"}, {"ref": "zouhirihaddaden/notebook1f6c8a03f1", "kernel_id": "65689109"}, {"ref": "mdzafarshah/notebook1f6c8a03f1", "kernel_id": "66395787"}, {"ref": "mdzafarshah/visualizing-segmented-train-image", "kernel_id": "66396799"}, {"ref": "krishnaraichura/rsna-cervical-spine-fracture-eda", "kernel_id": "69219475"}, {"ref": "nikaegorova/lab3-apml", "kernel_id": "70487971"}, {"ref": "lapenk0/lab3-medical-image-processing-and-recognition", "kernel_id": "71829538"}, {"ref": "kalvakaushik/rsna-cervical-trial", "kernel_id": "72893013"}, {"ref": "ethanye202/bonerz-rsna-spinal-cnn", "kernel_id": "72468534"}, {"ref": "ethanye202/rsna-2022-1st-place-solution-train-stage1", "kernel_id": "72721724"}, {"ref": "jojojoballerboy/rsna-2022-1st-place-solution-train-stage1", "kernel_id": "72726937"}, {"ref": "codingfreshie/identify-vertebrae-using-cnn", "kernel_id": "73059235"}, {"ref": "tienen/quick-prepare-small-subset-rsna2022-spine-data", "kernel_id": "74864082"}, {"ref": "arijitbhowal/cervical-fracture-dicom-images-classification-tf-a", "kernel_id": "75103886"}, {"ref": "xayah1106/guo-ker-way", "kernel_id": "75228617"}, {"ref": "kumudadp/rsna-eda-dicom-segmentations-bboxes-3d-plot", "kernel_id": "76370876"}, {"ref": "rong0130/ncs0216", "kernel_id": "76779504"}, {"ref": "ramyanukala07/deeper1", "kernel_id": "79442869"}, {"ref": "sanjanab24mcs1045/cervical-fracture-dicom-images-classification-tf-a", "kernel_id": "80835539"}, {"ref": "kiettrandeptrai/project", "kernel_id": "81561160"}, {"ref": "kiettrandeptrai/do-an", "kernel_id": "82286751"}, {"ref": "synchromach/project", "kernel_id": "82823445"}, {"ref": "helloworldheihei/notebookf3fa4f1739", "kernel_id": "85656562"}, {"ref": "nafisfuad1598/efficient-det", "kernel_id": "89415578"}, {"ref": "vitaliy612121/matviychuk-lab3", "kernel_id": "91666805"}, {"ref": "brysonjameshewins/zoe-and-hewins-spine-ai-v1", "kernel_id": "93033998"}, {"ref": "ashutoshsc/notebook07cc99bf8a", "kernel_id": "93597044"}, {"ref": "srisomesh/3d-resnet", "kernel_id": "104878645"}, {"ref": "srisomesh/spine-fracture-detection", "kernel_id": "104056519"}, {"ref": "saichakrith/meshifydemo", "kernel_id": "104096840"}, {"ref": "pranaavsri/meshifydemo", "kernel_id": "104239524"}, {"ref": "srisomesh/efficiencynet", "kernel_id": "105855907"}, {"ref": "sword4949/fashion-paligemma-training", "kernel_id": "106872695"}, {"ref": "saichakrith/efficiencynet", "kernel_id": "106768486"}, {"ref": "srisomesh/efficenctnet-enhanced", "kernel_id": "107042385"}, {"ref": "srisomesh/accuracy-main", "kernel_id": "107574991"}, {"ref": "zedkk4/mobile-net", "kernel_id": "107601863"}, {"ref": "suriya4169/efficencynet-enhanced", "kernel_id": "107584017"}, {"ref": "saichakrithsulluru/data-extractor", "kernel_id": "107620096"}, {"ref": "edison0507/buchinsky-lab3", "kernel_id": "108823240"}, {"ref": "saurabhbajpai03/cervical-vertebrae-and-spine-model", "kernel_id": "109183954"}, {"ref": "giyutomioka018/final-cervical-spine-fracture", "kernel_id": "109056948"}, {"ref": "srisomesh/cervical-spine", "kernel_id": "111369430"}, {"ref": "fatimaf2000f/notebook73466da39c", "kernel_id": "111745360"}, {"ref": "fatimaf2000f/odontoid-fracture", "kernel_id": "111747086"}, {"ref": "fatimaf2000f/notebook8f149316b1", "kernel_id": "111139070"}, {"ref": "udaypalacholla/spin-scane-ai-project", "kernel_id": "112368935"}, {"ref": "aaryashah0/notebook0c0d7f480c", "kernel_id": "113200914"}, {"ref": "morepowder/notebook1aa6e19e90", "kernel_id": "113681643"}, {"ref": "srisomesh/jurnel-update", "kernel_id": "115155263"}, {"ref": "anushakirand/rsna-spine", "kernel_id": "118945458"}, {"ref": "chovyxu/01-dicom-not-png", "kernel_id": "125292152"}, {"ref": "rajibshovan/cervical-fracture-detection", "kernel_id": "131784586"}, {"ref": "rajibshovan/cervical-fracture-detection-restructured", "kernel_id": "131964654"}, {"ref": "rajibshovan/cervical-vertebra-localization", "kernel_id": "131583531"}]}
{"competition_id": "36364", "kernels": []}
{"competition_id": "36380", "kernels": []}
{"competition_id": "36385", "kernels": []}
{"competition_id": "36387", "kernels": []}
{"competition_id": "36391", "kernels": []}
{"competition_id": "36414", "kernels": [{"ref": "gazu468/classification-with-pytorch", "kernel_id": "27738837"}, {"ref": "francischen1991/tf-baseline-v2-submission", "kernel_id": "28704772"}, {"ref": "iglovikov/who-can-improve-the-score", "kernel_id": "28919498"}, {"ref": "hwigeon/guie-dino-pretrained-weight-submission", "kernel_id": "28806625"}, {"ref": "hwigeon/dino-pretrained-weight-inference", "kernel_id": "28806729"}, {"ref": "tmyok1984/image-embedding-timm-pretrained-weights", "kernel_id": "28650506"}, {"ref": "tmyok1984/image-embedding-tf-efficientnet-ns", "kernel_id": "28652514"}, {"ref": "carloalbertobarbano/pytorch-ensemble-pretrained-baselines-training", "kernel_id": "28677306"}, {"ref": "carloalbertobarbano/pytorch-ensemble-pretrained-baseline-inference", "kernel_id": "28677634"}, {"ref": "ihelon/google-universal-image-embedding-eda", "kernel_id": "28650153"}, {"ref": "andrefaraujo/pytorch-baseline-submission", "kernel_id": "28539871"}, {"ref": "andrefaraujo/tf-baseline-submission", "kernel_id": "28519159"}, {"ref": "ooogunbiyi/image-embedding-eda-efficientnet", "kernel_id": "28732075"}, {"ref": "ilyaryabov/collecting-dataset-for-this-competition", "kernel_id": "28859601"}, {"ref": "yashvrdnjain/guie-pytorch-baseline-train", "kernel_id": "28706143"}, {"ref": "yashvrdnjain/guie-pytorch-submission", "kernel_id": "28706609"}, {"ref": "yashvrdnjain/guie-tf-baseline-submission", "kernel_id": "28760570"}, {"ref": "hirune924/guie-submission-notebook", "kernel_id": "28918656"}, {"ref": "dschettler8845/guie-explore-public-datasets", "kernel_id": "28763711"}, {"ref": "dschettler8845/load-the-entire-objectnet-dataset", "kernel_id": "28790336"}, {"ref": "dschettler8845/guie-a-better-tensorflow-example-baseline-model", "kernel_id": "28702177"}, {"ref": "dschettler8845/guie-in-depth-eda-baseline-similarity-model-tf", "kernel_id": "28674568"}, {"ref": "dschettler8845/clip-embedding", "kernel_id": "28992908"}, {"ref": "ipythonx/keras-tfrecord-imagenet-basic-starter-on-tpu-vm", "kernel_id": "28833899"}, {"ref": "mpwolke/release-the-map5", "kernel_id": "28683397"}, {"ref": "mpwolke/cassava-horses-humans", "kernel_id": "28706760"}, {"ref": "arnaud58/guie-submit-base-imagenet-vgg", "kernel_id": "28666030"}, {"ref": "arnaud58/google-universal-image-embedding-test", "kernel_id": "28665786"}, {"ref": "alejopaullier/create-your-own-dataset", "kernel_id": "28673066"}, {"ref": "thamotharan/img-embedding-for-beginner", "kernel_id": "28986958"}, {"ref": "frozenwolf/knn-evaluation-efficientnet-dino-vit-convnext", "kernel_id": "28961292"}, {"ref": "queyrusi/efficientnet-b7-ap", "kernel_id": "28680102"}, {"ref": "queyrusi/efficientnet-elements-of-image-embedding", "kernel_id": "28665787"}, {"ref": "kolovrado/visual-transformer-pretrained-0-254", "kernel_id": "28751599"}, {"ref": "prajwalsood/masked-autoencoder-vit-pretraining-imagenet1k", "kernel_id": "28769579"}, {"ref": "skoushik/swin-pretrained-embeddings", "kernel_id": "28799536"}, {"ref": "omomo17/convnext-xlarge-baseline", "kernel_id": "28942743"}, {"ref": "gopalgoyal612002/image-embadding", "kernel_id": "28808343"}, {"ref": "algerwang/embeddings-brute-force", "kernel_id": "28893508"}, {"ref": "thedevastator/embeddings-brute-force", "kernel_id": "28681872"}, {"ref": "opanichev/random-embeddings", "kernel_id": "29125429"}, {"ref": "hmendonca/drop-pca-for-ensemble-of-embeddings", "kernel_id": "29935519"}, {"ref": "hmendonca/timm-inference-performance-benchmarks", "kernel_id": "29354894"}, {"ref": "hmendonca/torch-official-clip-timm-embeddings", "kernel_id": "29271201"}, {"ref": "seshurajup/guie-check-approx-estimate-time-before-submit", "kernel_id": "29385680"}, {"ref": "bcabcae/pca-dim-reduction-on-cifar", "kernel_id": "29363991"}, {"ref": "aeroberts4444/test-swin-saving", "kernel_id": "29276193"}, {"ref": "emphymachine/clip-embeddings-convnext-swin-tta", "kernel_id": "29579849"}, {"ref": "arpit96/kagglewithcl", "kernel_id": "29355467"}, {"ref": "orkatz2/who-can-improve-the-score-simple-flip-tta", "kernel_id": "29120087"}, {"ref": "evilpsycho42/understand-comp-domain-and-imagenet-21k-labels", "kernel_id": "29023650"}, {"ref": "rhtsingh/google-universal-image-embedding-convnext-train", "kernel_id": "29218954"}, {"ref": "rhtsingh/google-universal-image-embedding-convnext-infer", "kernel_id": "29135352"}, {"ref": "rhtsingh/dolg-deep-orthogonal-local-and-global-features", "kernel_id": "29534591"}, {"ref": "antwerp/lightly-self-supervised-training", "kernel_id": "29203647"}, {"ref": "alenic/clip-gradcam", "kernel_id": "29578833"}, {"ref": "dschettler8845/tf-hf-owlvit", "kernel_id": "29557770"}, {"ref": "dschettler8845/tf-guie-train-from-scratch-part-1", "kernel_id": "29105530"}, {"ref": "dschettler8845/part-1-tf-keras-train-custom-clip-like-on-coco", "kernel_id": "29182809"}, {"ref": "dschettler8845/part-2-tf-keras-train-custom-clip-like", "kernel_id": "29188519"}, {"ref": "dschettler8845/part-3-tf-keras-train-custom-cliplike-model", "kernel_id": "29188944"}, {"ref": "massy103/pytorch-sample-gpu-submittion", "kernel_id": "29017027"}, {"ref": "manwithaflower/rn50x64-openai-clip", "kernel_id": "29308704"}, {"ref": "manwithaflower/regnet128", "kernel_id": "29238035"}, {"ref": "manwithaflower/regnet128-gpu-64", "kernel_id": "29238236"}, {"ref": "manwithaflower/help-to-find-mistake-please", "kernel_id": "29031174"}, {"ref": "manwithaflower/vit-base-patch32-224-in21k-timm", "kernel_id": "29086070"}, {"ref": "manwithaflower/timm-resnet200d", "kernel_id": "29107380"}, {"ref": "manwithaflower/beit-large-patch16-384", "kernel_id": "29115271"}, {"ref": "ivanpan/pytorch-clip-onnx-to-speed-up-inference", "kernel_id": "29906893"}, {"ref": "yosefdk/model-evaluator-script", "kernel_id": "29615488"}, {"ref": "e0xextazy/beit-embedding-baseline", "kernel_id": "29990885"}, {"ref": "awsaf49/gcvit-global-context-vision-transformer", "kernel_id": "29123143"}, {"ref": "hendrikjoosten/guie-pytorch-ensembling-cool-name-models", "kernel_id": "29871694"}, {"ref": "tombot231/basic-submit-coca-e6e4e5", "kernel_id": "29919918"}, {"ref": "shreydan/baseline-submission-convnext-base-in22ft1k", "kernel_id": "29435279"}, {"ref": "shreydan/convnext-xlarge-gem-pooling", "kernel_id": "29461869"}, {"ref": "dragonzhang/rn50x64-vit-l-14-openai-clip", "kernel_id": "29382335"}, {"ref": "tscheung/embeddings-brute-force", "kernel_id": "29113703"}, {"ref": "moeinshariatnia/random-vs-avg-max-dim-reduction", "kernel_id": "29058188"}, {"ref": "kerrit/gim-v2-clip", "kernel_id": "29445825"}, {"ref": "arstimgames/clip-embeddings", "kernel_id": "29182429"}, {"ref": "yamash73/guie-clip-w-o-adaptiveavgpooling", "kernel_id": "29988470"}, {"ref": "motono0223/guie-clip-tensorflow-train-example", "kernel_id": "29852820"}, {"ref": "motono0223/guie-generate-tfrecord-glr2021-512pix-mini7k", "kernel_id": "29709132"}, {"ref": "motono0223/guei-keras-load-tfrecords", "kernel_id": "29762525"}, {"ref": "w3579628328/2nd-place-solution", "kernel_id": "29984458"}, {"ref": "mohammadnaif/embeddings-brute-force", "kernel_id": "29021647"}, {"ref": "natnitarach/guie-0-0-vit-l-14-336px-vit-h-14-224px-laion2b", "kernel_id": "29773244"}, {"ref": "burhanuddinlatsaheb/getting-better-score-with-timm-sure-0-455", "kernel_id": "29407642"}, {"ref": "burhanuddinlatsaheb/guie-pytorch-ensembling-vit-convnext-xlarge", "kernel_id": "29176620"}, {"ref": "imbikramsaha/baseline-guie-fast-ai", "kernel_id": "29405397"}, {"ref": "thedevastator/weighted-clip-convnext-embeddings", "kernel_id": "29254534"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "vldknd/linear-layer-for-dimensionality-reduction", "kernel_id": "29028006"}, {"ref": "shams1/best-way-to-get-starte-google-embedding-clip", "kernel_id": "30612649"}, {"ref": "akihirok/9th-place-guie-fintune-tf-clip-w-training-code", "kernel_id": "30469174"}, {"ref": "emphymachine/how-to-make-tfrecords-glr2021", "kernel_id": "30348672"}, {"ref": "vitaliykinakh/gpr1200-benchmark-images-retrieval", "kernel_id": "30074705"}, {"ref": "mouradost/pytorch-baseline", "kernel_id": "30597968"}, {"ref": "evrimozmermer/pytorch-baseline-submission-resnet101", "kernel_id": "30307920"}, {"ref": "bhgtankita/clip-with-arcface-loss-6oct", "kernel_id": "30996142"}, {"ref": "socratis/guie-clip-pca", "kernel_id": "30534502"}, {"ref": "e0xextazy/clip-embedding-baseline", "kernel_id": "30052497"}, {"ref": "kirderf/baseline-from-2020-score-boost-idea", "kernel_id": "30185385"}, {"ref": "michailindmitry/how-to-use-sklearn-pca-in-submission", "kernel_id": "30252347"}, {"ref": "saraswatitiwari/google-universal-image-embedding", "kernel_id": "30628590"}, {"ref": "tscheung/guie-clip-tensorflow-train-example", "kernel_id": "30696832"}, {"ref": "ammarali32/guie-tfrecord-met", "kernel_id": "30654677"}, {"ref": "youseefmoemen/transfer-learning-using-bit", "kernel_id": "30906213"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "ogidif/openclip-laion2b-with-omnibenchmarkv2-and-nca", "kernel_id": "30672104"}, {"ref": "jslim7/guie-130k-tfrecord", "kernel_id": "30751928"}, {"ref": "motono0223/guie-tensorflow-clip-distancelayer-train-dim64", "kernel_id": "30681090"}, {"ref": "motono0223/guie-tensorflow-clip-distancelayer-sub-dim64", "kernel_id": "30682336"}, {"ref": "motono0223/guei-gcs-path", "kernel_id": "30725326"}, {"ref": "klekovkin/35th-place-2xclip", "kernel_id": "30572011"}, {"ref": "tlthegreatestone/clip-vitl-tune23-aereduct-adaparccos2e4-fr-e0", "kernel_id": "30122452"}, {"ref": "lau01b/google", "kernel_id": "30047047"}, {"ref": "lau01b/the-best-way-to-get-starte-google-embedding-clip", "kernel_id": "30123676"}, {"ref": "camryanwashere/notebook", "kernel_id": "30003520"}, {"ref": "simjeg/guie-a-zero-shot-solution", "kernel_id": "31282499"}, {"ref": "bhgtankita/clip-with-sub-center-arcface-w-dyn-margin-0-575", "kernel_id": "31154921"}, {"ref": "bhgtankita/clip-with-arcface-loss-gem-pooling", "kernel_id": "31155337"}, {"ref": "doanthinhvo/who-can-improve-the-score", "kernel_id": "31098124"}, {"ref": "sarindasamarasinghe/assigment-3-cap6411", "kernel_id": "31540398"}, {"ref": "dhanrajbhosale/team-9-anc-project-universal-image-embedding", "kernel_id": "31207680"}, {"ref": "slavabarkov/google-universal-image-embedding-submission", "kernel_id": "31082387"}, {"ref": "ksork6s4/guie-submission-openclip-3models-ensemble", "kernel_id": "31039538"}, {"ref": "ryanglaspey/clip-deit-embeddings-with-sums", "kernel_id": "31153293"}, {"ref": "brandonlwillett/googleuniversalembedding", "kernel_id": "31019523"}, {"ref": "shravankumar147/guie-baseline-pytorch", "kernel_id": "32173469"}, {"ref": "damnguyenngoc/9th-place-guie-fintune-tf-clip-w-training-code", "kernel_id": "34932963"}, {"ref": "phmbchinh/9th-place-guie-fintune-tf-clip-w-training-code", "kernel_id": "35738321"}, {"ref": "marshallcao/tf-guie-train-from-scratch-part-1", "kernel_id": "37439136"}, {"ref": "ehyeok9/urop-1", "kernel_id": "38345707"}, {"ref": "vinitkp/image-retrieval", "kernel_id": "41649425"}, {"ref": "stpeteishii/draw-contours-cv2-drawcontours", "kernel_id": "43596635"}, {"ref": "aigeo2016/rn50x64-openai-clip", "kernel_id": "47463986"}, {"ref": "thiagopda/datasets-pre-processing", "kernel_id": "50784631"}, {"ref": "skywolfmo/yat-resnet-imagenet-nnx", "kernel_id": "86903602"}, {"ref": "olamiposia/movie-theater", "kernel_id": "121351260"}]}
{"competition_id": "36416", "kernels": []}
{"competition_id": "36418", "kernels": []}
{"competition_id": "36436", "kernels": []}
{"competition_id": "36440", "kernels": [{"ref": "ridhamjeetkaur/ml-model", "kernel_id": "26681943"}, {"ref": "rakeshsahni/techfest", "kernel_id": "26681588"}, {"ref": "suriyaprasaadb/notebook338e9c8f79", "kernel_id": "26681599"}]}
{"competition_id": "36441", "kernels": []}
{"competition_id": "36443", "kernels": []}
{"competition_id": "36454", "kernels": []}
{"competition_id": "36457", "kernels": []}
{"competition_id": "36476", "kernels": [{"ref": "ekojsalim/assignment-2-tabular-modeling", "kernel_id": "26684252"}]}
{"competition_id": "36480", "kernels": []}
{"competition_id": "36483", "kernels": []}
{"competition_id": "36485", "kernels": []}
{"competition_id": "36491", "kernels": []}
{"competition_id": "36498", "kernels": []}
{"competition_id": "36499", "kernels": [{"ref": "ilhomjonrahimov/pnevmoniyani-aniqlash", "kernel_id": "27758541"}, {"ref": "javlonyaxshiliqov/cnn-project", "kernel_id": "27461724"}, {"ref": "samandarbaxromov/3pnevmoniya", "kernel_id": "28024935"}, {"ref": "mvpaaa/deep-learning", "kernel_id": "29575755"}, {"ref": "abrorshopulatov/bag-of-tricks-with-fast-ai-to-get-96-test-acc", "kernel_id": "30861893"}, {"ref": "aliochilov/pnevmoniya", "kernel_id": "35617196"}, {"ref": "boburbekbotirov/notebook270f64291f", "kernel_id": "35561347"}, {"ref": "abdulladzhumabaev/pnevmoniya-predict", "kernel_id": "36825719"}, {"ref": "farkhod77/pnevmoniya-predict", "kernel_id": "36283597"}, {"ref": "mirrakhmanov/pnevmoniya-predict-1", "kernel_id": "37156532"}, {"ref": "mirrakhmanov/x-ray", "kernel_id": "37448874"}, {"ref": "orifsarniyozov/pnevmaniiya", "kernel_id": "38408702"}, {"ref": "saidkarim/pneumonia", "kernel_id": "38594398"}, {"ref": "asrorbekeraliev/pneumonia-prediction", "kernel_id": "38249892"}, {"ref": "sarvarxasanov/pneumonia-v2", "kernel_id": "39914280"}, {"ref": "egamberdiotaboyev/pneumonia-prediction", "kernel_id": "39911062"}, {"ref": "ozodbek/penevmoniya", "kernel_id": "39131406"}, {"ref": "nodirjonmuxammadali/pneumania", "kernel_id": "39638642"}, {"ref": "abduazizabduraxmonov/diagnosis-of-pneumonia", "kernel_id": "40816821"}, {"ref": "shaxzoddavronov/pnevmoniya-prediction", "kernel_id": "40824256"}, {"ref": "azizbekboboqulov/pneumonia-diagnosis-prediction", "kernel_id": "40644047"}, {"ref": "diyorarti/pneumonia-diagnosis-prediction", "kernel_id": "40294740"}, {"ref": "farruxozodov/pnevmoniyani-aniqlash", "kernel_id": "41501030"}, {"ref": "jonikulov/pneumonia-image-classification", "kernel_id": "41103695"}, {"ref": "iman0405/pnevmoniyani-aniqlash", "kernel_id": "41905693"}, {"ref": "hasanjonomonov/pneumonia-classification", "kernel_id": "41378427"}, {"ref": "bahodirmaydonov/pneumonia-classification", "kernel_id": "41528533"}, {"ref": "sitbayevalibek/pnevmaniya-bashorat", "kernel_id": "41021247"}, {"ref": "jaxongirmaxamadjonov/jtscorp-pnevmaniya-aniqlash", "kernel_id": "41463968"}, {"ref": "shaxzodrahmonov/pnevmaniya-tashxisi", "kernel_id": "41085780"}, {"ref": "nurmuhammadmashrapov/pnevmoniya", "kernel_id": "42133605"}, {"ref": "m280476pr/pneumonia", "kernel_id": "42509486"}, {"ref": "asadbek1121/pneumonia-diagnosis-rediction", "kernel_id": "43139914"}, {"ref": "arslonbekjon/deep-learning-pneu", "kernel_id": "44288447"}, {"ref": "allaberdiyevbekhruz/notebook82ac60cff4", "kernel_id": "45672155"}, {"ref": "hojiakbarjumaboyev/pnemuonia-csv", "kernel_id": "46818798"}, {"ref": "muydinovoybek/notebook3bab282a2b", "kernel_id": "46584953"}, {"ref": "muydinovoybek/pnevmoniya", "kernel_id": "46704664"}, {"ref": "rahimabdullaev/pnevmoniya-tashxisi-deep-learning", "kernel_id": "47148606"}, {"ref": "sardorwwe/pnevmoniya-tashxisi1", "kernel_id": "47107385"}, {"ref": "davrbekmirzakosimov/predictingpneumonia", "kernel_id": "47981243"}, {"ref": "dilmurodrakhmatovds/diagnosisofpneumonia", "kernel_id": "47102367"}, {"ref": "abdulloshohraufiy/clarify-pneumonia", "kernel_id": "48103591"}, {"ref": "jamshidahmadov/pneumonia", "kernel_id": "48637172"}, {"ref": "ibragimovuzoqmurod/pnevmoniyani-aniqlash", "kernel_id": "48990261"}, {"ref": "mirfayzirgashevdku/pneumoniaa", "kernel_id": "48822629"}, {"ref": "jkamalovich/pnevmoniya-analizi", "kernel_id": "49831845"}, {"ref": "bobursoliyev/pnevmoniya", "kernel_id": "49975801"}, {"ref": "holmonalp/mohirdev-3-pnevmoniya", "kernel_id": "49440492"}, {"ref": "arslonbek/predict-pnevmoniya", "kernel_id": "49726827"}, {"ref": "abdullatifkhan/pnevmoniya", "kernel_id": "50938754"}, {"ref": "dilrabonu/pnevmonia", "kernel_id": "50735182"}, {"ref": "granddev/notebookf251d4958d", "kernel_id": "50788676"}, {"ref": "idiyorbek/pnevmaniya", "kernel_id": "50264745"}, {"ref": "abduazizabduraxmonov/pnevmoniya", "kernel_id": "51043823"}, {"ref": "khurshiduktamov/pneumonia-predictions-vgg16-bn-model-98-acc", "kernel_id": "51139300"}, {"ref": "elshodabdumahkamov/pnevmoniya-tashhisi", "kernel_id": "51611941"}, {"ref": "granddev/notebookc71ab11edd", "kernel_id": "51034059"}, {"ref": "muxammadsodiq/pnevmaniya-tashxisi-2", "kernel_id": "52594069"}, {"ref": "kmnklbhvjhv/pneumonia-prediction", "kernel_id": "55188163"}, {"ref": "chingiztursunbayev/pneumonia-prediction", "kernel_id": "56788154"}, {"ref": "khaydaraliev97/pnevmoniya", "kernel_id": "56502064"}, {"ref": "hojiakbardev/pnevmoniyani-aniqlash", "kernel_id": "56284916"}, {"ref": "usmonmuhammad/pnevmoniya-tashxisi", "kernel_id": "58910235"}, {"ref": "shernazarovdoston/pnevmoniya", "kernel_id": "59172187"}, {"ref": "shernazarovdoston/fork-of-pnevmoniya", "kernel_id": "59743925"}, {"ref": "mrcracker99/diagnosis-of-pneumonia", "kernel_id": "60285148"}, {"ref": "munisanematova/pnevmoniya2", "kernel_id": "61556278"}, {"ref": "asadbekiskandarov/pnevmaniya", "kernel_id": "61544985"}, {"ref": "sunnatillo91/pneumonia-prediction", "kernel_id": "62064479"}, {"ref": "makhmudovkhondamir/notebook1149869cea", "kernel_id": "63501418"}, {"ref": "asadbeksaydullayev/pnevmoniya-tashxisi", "kernel_id": "64250257"}, {"ref": "jamshidrajabov/pnevmo-predict", "kernel_id": "66898093"}, {"ref": "abdulxoliqmirzayev/pnevmoniya", "kernel_id": "67385868"}, {"ref": "humoyunyuldashev/notebooka68a782766", "kernel_id": "67468619"}, {"ref": "irodakuchkarova/pneumonia-x-rays", "kernel_id": "67923466"}, {"ref": "akmalqurbonov/pnevmaniya-tashhisi", "kernel_id": "69329324"}, {"ref": "sardormamatqobilov/pnevmoniya", "kernel_id": "69103088"}, {"ref": "bondjeyms/pnevmaniya", "kernel_id": "70257698"}, {"ref": "durdonaa/d-1-pneumonia", "kernel_id": "70650778"}, {"ref": "temurusmonaliyev/pneumonia-classification", "kernel_id": "71671874"}, {"ref": "marv787888/pnevmoniya", "kernel_id": "71949017"}, {"ref": "ibodullo2205/pneumonia-diagnosis-predictions", "kernel_id": "71211077"}, {"ref": "burxoniddin/pnevmoniya", "kernel_id": "72250703"}, {"ref": "javokhirraimov/pneumonia-detection-classification", "kernel_id": "72454628"}, {"ref": "sarvarbekjumaboyev/notebook9934305770", "kernel_id": "73259825"}, {"ref": "zephyrrpro/pneumoniadiagnosis-dl", "kernel_id": "73479898"}, {"ref": "baxtiyorjon/notebook1ea7a0ce39", "kernel_id": "73724483"}, {"ref": "raxmatillo/pnevmoniya", "kernel_id": "75140119"}, {"ref": "azizbekssh/pnevmoniya-tashxisi-s-a-sh", "kernel_id": "75021960"}, {"ref": "olimsuyunboyev/pnevmonia-klassifikatsiya", "kernel_id": "75063823"}, {"ref": "otabekabdullah/pnevmoniya-tashxisini-aniqlash", "kernel_id": "75502058"}, {"ref": "tursunalikhasanov/diagnosis-of-pneumonia", "kernel_id": "75803255"}, {"ref": "ibrokhimmirzaev/pneumonia", "kernel_id": "77517341"}, {"ref": "jasurbekrasuljonov/pnevmoniya", "kernel_id": "77637705"}, {"ref": "abduraaahim/pneumonia-classification", "kernel_id": "104473238"}]}
{"competition_id": "36503", "kernels": [{"ref": "akmalmir/aviachipta-mlsiz-faqat-data-analiz-yo-li", "kernel_id": "27642152"}, {"ref": "akmalmir/aviachipta-narhini-baholash-tutorial", "kernel_id": "27301953"}, {"ref": "ardin7/airline-tickets", "kernel_id": "27091234"}, {"ref": "ilhomjonrahimov/predict-ticket-prices", "kernel_id": "27923992"}, {"ref": "mvpaaa/aviachipta", "kernel_id": "27555368"}, {"ref": "samandarbaxromov/aviaticket-price-predictor", "kernel_id": "27795795"}, {"ref": "shahzodbek/aviachipta", "kernel_id": "27446876"}, {"ref": "barkamolurinboev/aviachipta-narxini-taxmin-qilish", "kernel_id": "29644371"}, {"ref": "abrorshopulatov/k-fold-cross-validation-with-fast-ai", "kernel_id": "32818670"}, {"ref": "sarvarurazbayev/airfare-price-prediction", "kernel_id": "33340847"}, {"ref": "farkhod77/aviachipta-narxini-bashorat-qilish", "kernel_id": "35670543"}, {"ref": "diyorai/air-ticket-prediction", "kernel_id": "36052033"}, {"ref": "pradeepsapparapu/airline-future-price", "kernel_id": "37327955"}, {"ref": "hoshimmardonov1/avia-chiptani-bashorati", "kernel_id": "37784580"}, {"ref": "hoshimmardonov1/avia-chipta-bashorati", "kernel_id": "37490977"}, {"ref": "saidkarim/airfare-forecast", "kernel_id": "38618912"}, {"ref": "asrorbekeraliev/air-ticket-price-prediction-md", "kernel_id": "38154013"}, {"ref": "elzodkurashev/aviachipta-price-sert", "kernel_id": "39365554"}, {"ref": "jonikulov/air-ticket-fare-prediction-eda-k-fold-cross-val", "kernel_id": "39970190"}, {"ref": "egamberdiotaboyev/airticket-price-prediction", "kernel_id": "39859014"}, {"ref": "ozodbek/air-ticket-price-evaluation", "kernel_id": "39413324"}, {"ref": "diyorai/notebookbce2be7b18", "kernel_id": "39895557"}, {"ref": "nodirjonmuxammadali/air-ticket", "kernel_id": "39528046"}, {"ref": "botirjonkhamidjonov/notebook48c31ef8e2", "kernel_id": "39611121"}, {"ref": "farruxozodov/prediction-price", "kernel_id": "40941918"}, {"ref": "azizbekboboqulov/airfare-price-prediction", "kernel_id": "40615163"}, {"ref": "diyorarti/ticket-price-prediction", "kernel_id": "40277654"}, {"ref": "iman0405/aviachipta-narxini-bashorat-qilish", "kernel_id": "41775902"}, {"ref": "hasanjonomonov/aviaticket-price-predictor", "kernel_id": "41087939"}, {"ref": "bahodirmaydonov/notebookbfd6f0b485", "kernel_id": "41300180"}, {"ref": "bahodirmaydonov/price-airlane", "kernel_id": "41517962"}, {"ref": "shakhbozrazzokov/submission-mohirdev1", "kernel_id": "42363336"}, {"ref": "nurmuhammadmashrapov/avia-chiptalar-bashorati", "kernel_id": "42114569"}, {"ref": "asadbek1121/air-ticket-price-prediction", "kernel_id": "42161037"}, {"ref": "bahodirmaydonov/neuron-model", "kernel_id": "42424541"}, {"ref": "shahzod51/aviachipta-narxi-bashorat", "kernel_id": "42058501"}, {"ref": "m280476pr/flight-ticket-price-prediction22", "kernel_id": "42229414"}, {"ref": "arslonbekjon/aviachipta-narxini-bashorat-qilish", "kernel_id": "42311289"}, {"ref": "jahongirbahodir/sinov", "kernel_id": "42492669"}, {"ref": "m280476pr/neuron-model-mohira", "kernel_id": "43947936"}, {"ref": "azamathabibullayev/aviachiptanarxi", "kernel_id": "44571740"}, {"ref": "allaberdiyevbekhruz/prediction1", "kernel_id": "44745417"}, {"ref": "rahimabdullaev/predict-avia", "kernel_id": "45919726"}, {"ref": "hojiakbarjumaboyev/airline-ticket-csv", "kernel_id": "46791306"}, {"ref": "sardorwwe/avia-chipta-bashorati", "kernel_id": "46910520"}, {"ref": "muydinovoybek/aviachipta-narxini-bashorat-qilish", "kernel_id": "46460954"}, {"ref": "dilmurodrakhmatovds/prediction-price-of-flightticket", "kernel_id": "46998221"}, {"ref": "abdulloshohraufiy/airline-ticket-price-2", "kernel_id": "47266396"}, {"ref": "davrbekmirzakosimov/aviaticketpriceprediction", "kernel_id": "47980767"}, {"ref": "ibragimovuzoqmurod/uzoqmurod-topshiriq", "kernel_id": "48877773"}, {"ref": "mirfayzirgashevdku/predictionairplanetickets", "kernel_id": "48683700"}, {"ref": "jkamalovich/avia-chipta-narxi-project-1", "kernel_id": "49737930"}, {"ref": "jamshidahmadov/airticket-price", "kernel_id": "49142614"}, {"ref": "bobursoliyev/ticket-price-predict", "kernel_id": "49446868"}, {"ref": "khurshiduktamov/aviatickets-prediction-stacking-models-rmse-1469", "kernel_id": "49642472"}, {"ref": "holmonalp/mohirdev-1-vazifa-aviachipta-narx-bashorati", "kernel_id": "49310210"}, {"ref": "arslonbek/avia-ticket-predict", "kernel_id": "49700498"}, {"ref": "abdullatifkhan/aviachipta-narxlarini-bashorat-qilish", "kernel_id": "50652127"}, {"ref": "khaydaraliev97/aviachipta-narxini-bashorat-qilish", "kernel_id": "50113759"}, {"ref": "dilrabonu/notebookf8bc73932b", "kernel_id": "50629938"}, {"ref": "granddev/final-result", "kernel_id": "50948088"}, {"ref": "idiyorbek/aviachipta-narxini-bashorat-qilish", "kernel_id": "50145098"}, {"ref": "hamidesbergenov/notebook6d8ebde4f1", "kernel_id": "51761907"}, {"ref": "elshodabdumahkamov/ticket-price-prediction", "kernel_id": "51401421"}, {"ref": "granddev/airways-ticket", "kernel_id": "51083514"}, {"ref": "boburjontokhirov/ticket-price", "kernel_id": "52189628"}, {"ref": "farhodjaborov/aviachipta-narxini-bashorat-qilish", "kernel_id": "52944253"}, {"ref": "ozodbektursunaliev/aviaticket-price-predictor", "kernel_id": "52600481"}, {"ref": "kmnklbhvjhv/airline-ticket-prediction", "kernel_id": "53024719"}, {"ref": "muxammadsodiq/ticket-price-prediction-for-mohirdev", "kernel_id": "53110105"}, {"ref": "azizbekssh/aviachipta-narxi-s-a-sh", "kernel_id": "53231269"}, {"ref": "alibekabduaxadov/ticket-price-prediction", "kernel_id": "55551302"}, {"ref": "chingiztursunbayev/ticket-price-prediction", "kernel_id": "56718411"}, {"ref": "hojiakbardev/aviachipta-narxni-taxmin-qilish", "kernel_id": "56240581"}, {"ref": "mrcracker99/airplane-ticket-price", "kernel_id": "58863649"}, {"ref": "usmonmuhammad/airticket-price-prediction", "kernel_id": "58845321"}, {"ref": "sunnatillo91/air-ticket-price-predicting", "kernel_id": "61495829"}, {"ref": "makhmudovkhondamir/notebookbe75a0979a", "kernel_id": "63496054"}, {"ref": "jamshidrajabov/aviapricepredict", "kernel_id": "66762778"}, {"ref": "humoyunyuldashev/notebooka13d71d359", "kernel_id": "66653324"}, {"ref": "mrnuriddin/aviachipta-narxini-bashorat-qilish", "kernel_id": "67604968"}, {"ref": "jamshidbej/flight-ticket-prediction", "kernel_id": "70161617"}, {"ref": "temurusmonaliyev/airplane-ticket-prediction", "kernel_id": "71609718"}, {"ref": "marv787888/aviachipta-narxini-bashorat-qilish", "kernel_id": "71899033"}, {"ref": "burxoniddin/notebookf7eacefd4f", "kernel_id": "72052802"}, {"ref": "javokhirraimov/flight-ticket-prediction", "kernel_id": "72154533"}, {"ref": "baxtiyorjon/airline-bashorat", "kernel_id": "72083138"}, {"ref": "otabekrizayev/airline-ticket-predictor", "kernel_id": "73959390"}, {"ref": "sarvarbekjumaboyev/notebooka1067257cd", "kernel_id": "73262516"}, {"ref": "zephyrrpro/flightticketprediction-ml-module", "kernel_id": "73320674"}, {"ref": "elbekjumayev/avia-chipta-narxi", "kernel_id": "74082461"}, {"ref": "salohiddinali/airplane-ticket-prediction", "kernel_id": "74329047"}, {"ref": "muhammadjonrakh/airtickets", "kernel_id": "74335937"}, {"ref": "raxmatillo/aviachiptabashorat", "kernel_id": "75098151"}, {"ref": "olimsuyunboyev/aviatickets-prediction", "kernel_id": "75037208"}, {"ref": "otabekabdullah/aviachipta-narxi-bo-yicha-regression-model", "kernel_id": "75413273"}, {"ref": "tursunalikhasanov/predict-prices-of-aviatickets", "kernel_id": "75602224"}, {"ref": "sayfulislomkhan/aviachipta-bashorati", "kernel_id": "77874012"}, {"ref": "sayfulislomkhan/havo-yo-llari-narxi", "kernel_id": "77931884"}, {"ref": "sayfulislomkhan/airticketprediction", "kernel_id": "77941722"}, {"ref": "murodovyusufbek/flight-ticket-prediction", "kernel_id": "77868640"}, {"ref": "ibrokhimmirzaev/air-ticket-price-prediction", "kernel_id": "77298996"}, {"ref": "jasurbekrasuljonov/airline-ticket-price-prediction", "kernel_id": "77578059"}, {"ref": "abduraaahim/airtickets-price-prediction", "kernel_id": "80265798"}]}
{"competition_id": "36506", "kernels": []}
{"competition_id": "36507", "kernels": []}
{"competition_id": "36510", "kernels": []}
{"competition_id": "36511", "kernels": [{"ref": "myrmeco/iren-libre-axel-barbier-arthur-le-bourg", "kernel_id": "26838099"}, {"ref": "nelsonvf/notebook-navire-libre", "kernel_id": "28487522"}, {"ref": "spurdo/navires-libre-philippe-bouchet-victor-litoux", "kernel_id": "28447360"}]}
{"competition_id": "36512", "kernels": []}
{"competition_id": "36513", "kernels": []}
{"competition_id": "36521", "kernels": []}
{"competition_id": "36529", "kernels": []}
{"competition_id": "36537", "kernels": []}
{"competition_id": "36541", "kernels": []}
{"competition_id": "36547", "kernels": []}
{"competition_id": "36548", "kernels": []}
{"competition_id": "36549", "kernels": [{"ref": "linyuanmo/zf-net-test", "kernel_id": "26883332"}]}
{"competition_id": "36551", "kernels": []}
{"competition_id": "36553", "kernels": []}
{"competition_id": "36554", "kernels": [{"ref": "shivamsri7/feature-engineering-smote-lgbm", "kernel_id": "26875964"}, {"ref": "ridsonal/multinomial-regression-fe-0-92753", "kernel_id": "26878119"}]}
{"competition_id": "36560", "kernels": []}
{"competition_id": "36563", "kernels": []}
{"competition_id": "36570", "kernels": []}
{"competition_id": "36575", "kernels": []}
{"competition_id": "36576", "kernels": []}
{"competition_id": "36578", "kernels": []}
{"competition_id": "36579", "kernels": []}
{"competition_id": "36581", "kernels": []}
{"competition_id": "36592", "kernels": []}
{"competition_id": "36601", "kernels": []}
{"competition_id": "36608", "kernels": [{"ref": "kwonsoonyong/final-20-name", "kernel_id": "26890213"}, {"ref": "tkdgur0826/final-20163250", "kernel_id": "27762826"}, {"ref": "kimdoyoun/final-20185214", "kernel_id": "27181844"}]}
{"competition_id": "36622", "kernels": []}
{"competition_id": "36623", "kernels": []}
{"competition_id": "36628", "kernels": [{"ref": "henryisaac123/telecom-churn-prediction-starter-notebook-ipynb", "kernel_id": "26907446"}, {"ref": "alexmcdonald1124/telecom-churn-prediction", "kernel_id": "27515553"}, {"ref": "muki2003/telecom-churn-deeplearning", "kernel_id": "27167665"}, {"ref": "priyanshuagwl/telecom-churn-nb-lastday", "kernel_id": "27368319"}]}
{"competition_id": "36631", "kernels": [{"ref": "roxanneruohanzhang/notebookbda8a353f4", "kernel_id": "27085242"}, {"ref": "culaccin0/notebookbda8a353f4", "kernel_id": "27425693"}]}
{"competition_id": "36642", "kernels": [{"ref": "abhishek123maurya/image-dataset-analysis", "kernel_id": "26977449"}]}
{"competition_id": "36645", "kernels": [{"ref": "minhbtnguyen/wine-sales-prediction-with-multi-layer-perceptron", "kernel_id": "27012786"}]}
{"competition_id": "36647", "kernels": []}
{"competition_id": "36654", "kernels": []}
{"competition_id": "36659", "kernels": [{"ref": "smsajideen/notebook-baseline", "kernel_id": "26935193"}, {"ref": "abdulghaffaransari/predict-the-sequence-undergoing-mutation-99", "kernel_id": "28855371"}, {"ref": "funxexcel/p1-mutation-baseline-lr-model", "kernel_id": "31007624"}]}
{"competition_id": "36663", "kernels": []}
{"competition_id": "36667", "kernels": [{"ref": "jorgemora/notebook2a5f7f1e1c", "kernel_id": "27204689"}]}
{"competition_id": "36677", "kernels": []}
{"competition_id": "36678", "kernels": []}
{"competition_id": "36685", "kernels": []}
{"competition_id": "36694", "kernels": []}
{"competition_id": "36695", "kernels": []}
{"competition_id": "36708", "kernels": [{"ref": "muki2003/animal-classifier-tensorflow-keras", "kernel_id": "27631957"}, {"ref": "parksuyoung1234/competition-1-image-classification", "kernel_id": "27487349"}]}
{"competition_id": "36714", "kernels": []}
{"competition_id": "36717", "kernels": []}
{"competition_id": "36723", "kernels": []}
{"competition_id": "36725", "kernels": [{"ref": "skyrainwind/hw11-domain-adaptation", "kernel_id": "51204676"}]}
{"competition_id": "36734", "kernels": [{"ref": "yagli18/demo-news-popularity-prediction", "kernel_id": "29992421"}]}
{"competition_id": "36737", "kernels": []}
{"competition_id": "36750", "kernels": []}
{"competition_id": "36751", "kernels": []}
{"competition_id": "36752", "kernels": []}
{"competition_id": "36753", "kernels": []}
{"competition_id": "36759", "kernels": []}
{"competition_id": "36763", "kernels": []}
{"competition_id": "36764", "kernels": [{"ref": "jeanmidev/build-submissions", "kernel_id": "27088201"}, {"ref": "patrick0302/fr-energy-eda", "kernel_id": "27103080"}, {"ref": "gabrieldu69/forecast-energy", "kernel_id": "27169520"}, {"ref": "nadagamal3/french-energy-consumption-forecast-flaml-r2", "kernel_id": "54156502"}, {"ref": "r4bc19/module-1-energy-consumption-forecast", "kernel_id": "55658427"}]}
{"competition_id": "36765", "kernels": []}
{"competition_id": "36768", "kernels": []}
{"competition_id": "36769", "kernels": []}
{"competition_id": "36770", "kernels": [{"ref": "kuantinglai/notebookc7d128a7ec", "kernel_id": "27098282"}]}
{"competition_id": "36772", "kernels": []}
{"competition_id": "36777", "kernels": []}
{"competition_id": "36778", "kernels": []}
{"competition_id": "36781", "kernels": []}
{"competition_id": "36796", "kernels": []}
{"competition_id": "36797", "kernels": []}
{"competition_id": "36798", "kernels": []}
{"competition_id": "36803", "kernels": []}
{"competition_id": "36807", "kernels": []}
{"competition_id": "36811", "kernels": [{"ref": "nathanheraief/first-submission", "kernel_id": "27623541"}, {"ref": "nathanheraief/mac-code-processing", "kernel_id": "27722695"}, {"ref": "josephreid/wt-cs-2022-discovering-time-series-relationships", "kernel_id": "27683592"}, {"ref": "josephreid/wind-turbine-cs-2022-notebook-shared", "kernel_id": "27660869"}, {"ref": "josephreid/wind-turbine-cs2022-random-forest", "kernel_id": "27713998"}]}
{"competition_id": "36821", "kernels": []}
{"competition_id": "36835", "kernels": [{"ref": "teemuk/tutorial-bag-of-words-template-solution", "kernel_id": "27422200"}]}
{"competition_id": "36837", "kernels": []}
{"competition_id": "36838", "kernels": []}
{"competition_id": "36842", "kernels": [{"ref": "mpwolke/medical-specialty-f1-score", "kernel_id": "27308228"}, {"ref": "mpwolke/expectation-maximization", "kernel_id": "27342696"}, {"ref": "tanyadayanand/medical-specialty-classification-startercode-lstm", "kernel_id": "28105150"}, {"ref": "sohamdighe/bertusage", "kernel_id": "28269433"}, {"ref": "thetejasjadhav/aih-exp-09", "kernel_id": "70807828"}]}
{"competition_id": "36845", "kernels": []}
{"competition_id": "36846", "kernels": []}
{"competition_id": "36847", "kernels": []}
{"competition_id": "36869", "kernels": []}
{"competition_id": "36873", "kernels": []}
{"competition_id": "36874", "kernels": []}
{"competition_id": "36883", "kernels": []}
{"competition_id": "36885", "kernels": []}
{"competition_id": "36891", "kernels": [{"ref": "akumar6/diamonds-price-prediction-1-solution", "kernel_id": "27438914"}]}
{"competition_id": "36918", "kernels": []}
{"competition_id": "36921", "kernels": [{"ref": "b07502072/ml2022spring-hw13-sample-code", "kernel_id": "27348907"}, {"ref": "b07502072/pruning-tutorial-kaggle", "kernel_id": "27382339"}, {"ref": "b07502072/network-pruning-example-for-report-q3-1", "kernel_id": "27382561"}]}
{"competition_id": "36927", "kernels": [{"ref": "deliveryreport/start-noteb", "kernel_id": "27318024"}]}
{"competition_id": "36929", "kernels": []}
{"competition_id": "36930", "kernels": []}
{"competition_id": "36931", "kernels": []}
{"competition_id": "36932", "kernels": []}
{"competition_id": "36934", "kernels": []}
{"competition_id": "36935", "kernels": []}
{"competition_id": "36936", "kernels": []}
{"competition_id": "36937", "kernels": []}
{"competition_id": "36939", "kernels": []}
{"competition_id": "36955", "kernels": []}
{"competition_id": "36957", "kernels": []}
{"competition_id": "36960", "kernels": []}
{"competition_id": "36965", "kernels": []}
{"competition_id": "36967", "kernels": []}
{"competition_id": "36974", "kernels": [{"ref": "anki112279/task-1-linking-with-github", "kernel_id": "27460621"}, {"ref": "valerieart/task-1", "kernel_id": "27695721"}, {"ref": "nik1003/task-1-nikki", "kernel_id": "27849696"}, {"ref": "tanyapp/task1-link-with-github-tanya", "kernel_id": "27736662"}, {"ref": "ibrahimkoicha/ibrahim-koicha", "kernel_id": "27732131"}, {"ref": "sangam350/task-1-linking-with-github-sangam", "kernel_id": "27877216"}, {"ref": "sangam350/task-2-3-data-source-sangam", "kernel_id": "27878578"}, {"ref": "aditigulati/aditi-gulati", "kernel_id": "27676852"}, {"ref": "tamannachoithani04/tamanna-choithani", "kernel_id": "27768914"}, {"ref": "divyamuthukrishnan/task1-linkwithgithub-divya", "kernel_id": "27747462"}, {"ref": "dplayer/task1-linkithub", "kernel_id": "28218698"}, {"ref": "dplayer/task-2-rentalpricedata-exploration", "kernel_id": "28393088"}, {"ref": "fejnrenrjen/task2-data-exploration-housing-supply", "kernel_id": "28222696"}, {"ref": "fejnrenrjen/eda-on-housing-supply-vancouver", "kernel_id": "28699744"}, {"ref": "anki112279/housing-prices-trend-in-canada", "kernel_id": "28684801"}, {"ref": "venkateshkonduru/task-2-1-dataanalysis-explor-housemarkindicator", "kernel_id": "28111575"}, {"ref": "ryanrakusinn/task-1-ryan", "kernel_id": "28335068"}, {"ref": "ryanrakusinn/task-3-ryan", "kernel_id": "28832726"}, {"ref": "ryanrakusinn/task-2-ryan", "kernel_id": "28642806"}, {"ref": "aditigulati/eda-on-housing-supply-and-demand", "kernel_id": "28351351"}, {"ref": "aditigulati/income-of-individuals-aditi", "kernel_id": "28399064"}, {"ref": "divyamuthukrishnan/study-on-type-of-dwellings-population-canada", "kernel_id": "28321165"}, {"ref": "divyamuthukrishnan/task-2-data-exploration-and-cleanup-population", "kernel_id": "28052720"}, {"ref": "divyamuthukrishnan/eda-on-housing-supply-construction-and-population", "kernel_id": "28523489"}, {"ref": "anki112279/heatmap-by-canada-s-provinces", "kernel_id": "29052508"}, {"ref": "burhanimtengwa/housing-affordability-canada", "kernel_id": "72657571"}]}
{"competition_id": "36981", "kernels": [{"ref": "strength13th/notebook6d89d14182", "kernel_id": "27354085"}, {"ref": "andreivotintsev/anvot-demo-compet", "kernel_id": "27505857"}]}
{"competition_id": "36998", "kernels": []}
{"competition_id": "37001", "kernels": [{"ref": "pratikkulkarniepri/preprocess-image-labels", "kernel_id": "28287843"}]}
{"competition_id": "37017", "kernels": []}
{"competition_id": "37021", "kernels": [{"ref": "vladvin/toilets-matching-baseline", "kernel_id": "27454984"}]}
{"competition_id": "37029", "kernels": []}
{"competition_id": "37033", "kernels": []}
{"competition_id": "37039", "kernels": []}
{"competition_id": "37041", "kernels": [{"ref": "zuari1993/simple-nn", "kernel_id": "27572723"}, {"ref": "ezzaldin6/baseline-model-first-thinking", "kernel_id": "27549460"}, {"ref": "muki2003/bike-rental-prediction-deep-learning", "kernel_id": "27507609"}, {"ref": "arunprathap/south-korea-bike-rental", "kernel_id": "27538367"}, {"ref": "tracyporter/bike-rental", "kernel_id": "27645844"}, {"ref": "henryschmale/bikes-notebook-attempt", "kernel_id": "27573832"}, {"ref": "karthikskrishnaiyer/notebooke3bae8b1f5", "kernel_id": "27623017"}, {"ref": "suchighurka/bike-rental-prediction-eda-starter", "kernel_id": "27632207"}]}
{"competition_id": "37043", "kernels": []}
{"competition_id": "37044", "kernels": []}
{"competition_id": "37050", "kernels": []}
{"competition_id": "37057", "kernels": []}
{"competition_id": "37064", "kernels": []}
{"competition_id": "37068", "kernels": []}
{"competition_id": "37069", "kernels": [{"ref": "aliphya/rating-friends", "kernel_id": "27715941"}, {"ref": "mayankdubey1196/f-r-i-e-n-d-s-eda", "kernel_id": "27904721"}, {"ref": "tracyporter/friends-nlp", "kernel_id": "27984559"}, {"ref": "jingmarshall/friends-rating-prediction", "kernel_id": "28222438"}, {"ref": "abhishek6009/friends-nlp-hackathon-1st-position", "kernel_id": "28448123"}, {"ref": "mdsolaimanbadsha/notebook543b50bbb7", "kernel_id": "31695170"}]}
{"competition_id": "37077", "kernels": [{"ref": "qrendu/plot-spectrograms", "kernel_id": "30959861"}, {"ref": "ayuraj/g2net-understand-the-data", "kernel_id": "30942690"}, {"ref": "mpwolke/g-waves-riroriro", "kernel_id": "30937132"}, {"ref": "mpwolke/waveforms-pycbc", "kernel_id": "30962338"}, {"ref": "mpwolke/gw150914-in-hanford-wav", "kernel_id": "30991409"}, {"ref": "jcaliz/g2net-eda-that-gives-you-insights", "kernel_id": "30965782"}, {"ref": "rodrigotenorio/generating-continuous-gravitational-wave-signals", "kernel_id": "30768990"}, {"ref": "e0xextazy/solutions-from-the-previous-competition", "kernel_id": "30981114"}, {"ref": "dinowun/eda-simplified-g2net-gravitational-waves", "kernel_id": "30963356"}, {"ref": "samyukthamobile/g2net-hdf5-exploratory-analytics", "kernel_id": "30973907"}, {"ref": "markwijkhuizen/g2net-eda-360x360-dataset-creation", "kernel_id": "30980570"}, {"ref": "edwardcrookenden/g2net-getting-started-eda", "kernel_id": "30930692"}, {"ref": "chazzer/how-to-read-the-hdf5-files", "kernel_id": "30928895"}, {"ref": "chazzer/neural-net-starter-g2net-train", "kernel_id": "30933228"}, {"ref": "chazzer/neural-net-starter-g2net-infer", "kernel_id": "30958377"}, {"ref": "xxxxyyyy80008/g2net-understand-the-data-eda", "kernel_id": "30941638"}, {"ref": "ahmedelfazouan/g2net-prepare-features", "kernel_id": "30933286"}, {"ref": "josefslavicek/g2net-weird-behavior-of-std-spectrogram", "kernel_id": "31903071"}, {"ref": "riteshsinha/eda-g2net", "kernel_id": "31056315"}, {"ref": "opanichev/g2net-metadata-check", "kernel_id": "31178307"}, {"ref": "junkoda/basic-spectrogram-image-classification", "kernel_id": "31482423"}, {"ref": "willrice/pytorch-lightning-starter", "kernel_id": "31019158"}, {"ref": "joey0201/g2net-xgb-with-smote-and-enn", "kernel_id": "31392555"}, {"ref": "qrendu/g2net-convolutional-autoencoder-for-sfts", "kernel_id": "31524500"}, {"ref": "zollkron/basic-spectrogram-image-classification-cpu-only", "kernel_id": "31662943"}, {"ref": "crischir/g2net-convolutional-autoencoder-for-sfts", "kernel_id": "31979050"}, {"ref": "crischir/bupu-generated-data-360x180-g2net", "kernel_id": "31888836"}, {"ref": "crischir/giotto-tda-kaggle-adaptation", "kernel_id": "31277009"}, {"ref": "crischir/g2net-getting-started-eda", "kernel_id": "31300377"}, {"ref": "crischir/pyfstat-tutorial-adapted-to-kaggle", "kernel_id": "31346580"}, {"ref": "crischir/meshgrid-and-timeless-flower-power", "kernel_id": "31708526"}, {"ref": "crischir/2rd-gravitational-cats-and-dogs-inference", "kernel_id": "31652353"}, {"ref": "itsuki9180/g2net-tf-keras-train-test-with-tpu", "kernel_id": "31757420"}, {"ref": "itsuki9180/g2net-create-tfr-spectrogram-datasets", "kernel_id": "31756255"}, {"ref": "deepanshu0009/ensemble-learning-with-votingclassifier", "kernel_id": "31415081"}, {"ref": "sofyantandungan/g2net-continuous-gravitational-waves-detection", "kernel_id": "31928120"}, {"ref": "pollicio/gravitacion-chile-ale-cuevas-22", "kernel_id": "31676188"}, {"ref": "shivanshuman/multi-gpu-with-huggingface-accelerate", "kernel_id": "31863272"}, {"ref": "markwijkhuizen/g2net-training-efficientnetb0", "kernel_id": "31008669"}, {"ref": "dragonzhang/g2net-pytorch-with-generated-data", "kernel_id": "31864440"}, {"ref": "hubulai/basic-spectrogram-image-classification", "kernel_id": "31793865"}, {"ref": "albertozorzetto/g2net", "kernel_id": "31620628"}, {"ref": "mb16biswas/92-accuracy-end-to-end-implementation-by-sk-learn", "kernel_id": "31328046"}, {"ref": "anantgupt/g2net-ensemble", "kernel_id": "31417490"}, {"ref": "anantgupt/g2net-exploring-the-mysterious-eda", "kernel_id": "31646528"}, {"ref": "kunihikofurugori/g2net-test-datasets-eda", "kernel_id": "31231661"}, {"ref": "riteshbhaskar/gwdver3-0", "kernel_id": "31812388"}, {"ref": "viktorcikojevic/waveform-from-sfft", "kernel_id": "31364666"}, {"ref": "ahmedelfazouan/g2net-lgbm", "kernel_id": "31104356"}, {"ref": "neerajanandcoder/g2net-train", "kernel_id": "31771499"}, {"ref": "neerajanandcoder/g2net-inference", "kernel_id": "31902703"}, {"ref": "masterray/basic-spectrogram-image-classification-v3-gpu", "kernel_id": "31754951"}, {"ref": "emirhanai/transformers-for-dnn", "kernel_id": "31084069"}, {"ref": "yoyobar/a-simple-script-to-generate-gravitational-waves", "kernel_id": "31946090"}, {"ref": "mohdmuttalib/eda-g2net-detecting-continuous-gravitational-waves", "kernel_id": "31808675"}, {"ref": "samanthahassal/continuous-gravitational-waves", "kernel_id": "31427737"}, {"ref": "usamabalochhh/g2net-explore-the-mysterious", "kernel_id": "31044427"}, {"ref": "werus23/g2net-pytorch-with-generated-data", "kernel_id": "31787604"}, {"ref": "robber19/g2net-efficeientnet-coatnet-train", "kernel_id": "31101578"}, {"ref": "konomuabe/g2net-eda-data-size-span-time-gap", "kernel_id": "31003178"}, {"ref": "prem113/basic-spectrogram-image-classification-v2", "kernel_id": "31799931"}, {"ref": "aspiring/basic-spectrogram-image-classification-v2-cb90f3", "kernel_id": "31823540"}, {"ref": "aspiring/g2net-lgbm-with-smote-and-enn", "kernel_id": "31536501"}, {"ref": "aspiring/basic-spectrogram-image-classification-v2", "kernel_id": "31702258"}, {"ref": "deeshanimitra/generation-of-gw200115-gravitational-wave-signals", "kernel_id": "31119407"}, {"ref": "deeshanimitra/understanding-the-ligo-data-and-waveform-gen", "kernel_id": "31303131"}, {"ref": "chris62/generating-low-snr-gravity-waves", "kernel_id": "32974843"}, {"ref": "vslaykovsky/g2net-winning-strategy-with-external-data", "kernel_id": "32680829"}, {"ref": "vslaykovsky/g2net-realistic-simulation-of-test-noise", "kernel_id": "32856352"}, {"ref": "khubchandani/g2net-basic-audio-data-augmentation-revc", "kernel_id": "32302214"}, {"ref": "khubchandani/g2net-pytorch-w-generated-data-revd", "kernel_id": "32282987"}, {"ref": "asimandia/test-byol-example", "kernel_id": "32972080"}, {"ref": "laeyoung/g2net-large-kernel-inference", "kernel_id": "32390439"}, {"ref": "tanreinama/eliminate-noise-using-signal-similarity", "kernel_id": "32685265"}, {"ref": "crischir/g2net-tf-baseline", "kernel_id": "32891012"}, {"ref": "crischir/pyfstat-noise-and-some-signals", "kernel_id": "32634802"}, {"ref": "crischir/g2net-tf-baseline-360", "kernel_id": "32631716"}, {"ref": "crischir/g2net-record-generation", "kernel_id": "32629291"}, {"ref": "crischir/consolidatedg2netdataset", "kernel_id": "32832525"}, {"ref": "crischir/g2net-non-stationary-dataset", "kernel_id": "32790862"}, {"ref": "crischir/g2net-gaussian-noise-dataset", "kernel_id": "32725319"}, {"ref": "danmusetoiu/iknowblendingisnotagoodpracticeonkaggle", "kernel_id": "32602096"}, {"ref": "anonamename/g2net2-sub-avg", "kernel_id": "32005550"}, {"ref": "ankitsainiankit/g2net-train", "kernel_id": "32250091"}, {"ref": "morodertobias/g2net-record-generation", "kernel_id": "32105871"}, {"ref": "morodertobias/g2net-tf-baseline", "kernel_id": "32477660"}, {"ref": "tfukuda675/g2net-g2n", "kernel_id": "32721488"}, {"ref": "saraswatitiwari/g2net-detecting-continuous-gravitational-waves", "kernel_id": "32560214"}, {"ref": "shivanshuman/kaggle-t4x2-multi-gpu-training-g2net", "kernel_id": "32020617"}, {"ref": "kdmitrie/g2net-exporing-test-train-datasets", "kernel_id": "32001124"}, {"ref": "markwijkhuizen/generating-continuous-gravitational-wave-noise-pub", "kernel_id": "32332355"}, {"ref": "markwijkhuizen/generating-continuous-gravitational-wave-sign-pub", "kernel_id": "32332095"}, {"ref": "markwijkhuizen/g2net-efficientnetv2-s-generated-data-tf-inference", "kernel_id": "32387034"}, {"ref": "markwijkhuizen/g2net-efficientnetv2-s-generated-data-tf-training", "kernel_id": "32366619"}, {"ref": "bibhabasumohapatra/1-labeled-dataset-is-it-true", "kernel_id": "32183020"}, {"ref": "leolu1998/g2net-basic-audio-data-augmentation-inference", "kernel_id": "32312735"}, {"ref": "mathiasvanregemortel/g2net-imagerecognition-dataaugmentation", "kernel_id": "32831671"}, {"ref": "mahendrasinghrajpoot/gravity-wave-detection", "kernel_id": "32775429"}, {"ref": "masterray/g2net-basic-audio-data-augmentation-b7-5folds", "kernel_id": "32154124"}, {"ref": "myso1987/g2net-basic-audio-data-augmentation", "kernel_id": "32140687"}, {"ref": "maharshipandya/g2net-data-and-augmentation", "kernel_id": "32565959"}, {"ref": "ingffwe/g2-data-vis", "kernel_id": "32749516"}, {"ref": "irinaroslaya/team-spectrogram-image-classification-2", "kernel_id": "32604001"}, {"ref": "fuchengdong1/g2net-record-generation", "kernel_id": "32728476"}, {"ref": "sumamallapragada/gravdet", "kernel_id": "32032124"}, {"ref": "robber19/g2net-efficientnet-coatnet-inference", "kernel_id": "32103566"}, {"ref": "igorlitvin/nn-training-of-l-and-h-distorted-g-wave", "kernel_id": "32701011"}, {"ref": "mr0106/g2net", "kernel_id": "32718786"}, {"ref": "horikitasaku/image-classification-with-generated-data", "kernel_id": "32037416"}, {"ref": "linarg4818/g2net-tf-keras-train-test-with-tpu", "kernel_id": "32342869"}, {"ref": "semenb/g2-02-12-2022-submmit-version", "kernel_id": "32935588"}, {"ref": "vslaykovsky/g2net-generating-pure-signal", "kernel_id": "33173942"}, {"ref": "vslaykovsky/g2net-pytorch-generated-realistic-noise", "kernel_id": "33174305"}, {"ref": "khubchandani/g2net-best-single-model", "kernel_id": "33531410"}, {"ref": "pseudotensor/mcmcsearch-pyfstat", "kernel_id": "33881824"}, {"ref": "davidhguerrero/221201-explore-different-models", "kernel_id": "33056086"}, {"ref": "asimandia/pseudo", "kernel_id": "33712952"}, {"ref": "iafoss/creative-denoising-part-of-top-3-solution", "kernel_id": "33887987"}, {"ref": "crischir/flipacoinoncemodel-not-a-eda", "kernel_id": "33385562"}, {"ref": "crischir/low-g2net-tf-keras-train-test", "kernel_id": "33395300"}, {"ref": "crischir/traintfrecg2netdataset", "kernel_id": "33404811"}, {"ref": "crischir/exception-wavetfg2net-tf-keras-train-test", "kernel_id": "33539070"}, {"ref": "crischir/nonstataugumented-low-g2net-tf-keras-train-test", "kernel_id": "33497105"}, {"ref": "crischir/g2net-tf-keras-train-test", "kernel_id": "33089543"}, {"ref": "crischir/artifactsgenerating-low-snr-gravity-waves", "kernel_id": "33232128"}, {"ref": "crischir/a-wavelet-layer-for-tensorflow-eda", "kernel_id": "33922400"}, {"ref": "crischir/timeaugumentationg2net2022", "kernel_id": "33583710"}, {"ref": "crischir/ensemble-xception-efficientnet-lea", "kernel_id": "33573305"}, {"ref": "crischir/eff2nonstataugumented-low-g2net-tf-keras-train", "kernel_id": "33738207"}, {"ref": "crischir/g2netcompetition-submit-complex128", "kernel_id": "33735044"}, {"ref": "crischir/g2netv2-tf-keras-train-test-with-tpu", "kernel_id": "33710959"}, {"ref": "crischir/picturestraintfrecg2netdataset", "kernel_id": "33804475"}, {"ref": "analokamus/fast-online-noise-generation-3rd-place", "kernel_id": "33865576"}, {"ref": "iiyamaiiyama/g2net-pyfstat-matched-filter", "kernel_id": "33837441"}, {"ref": "batprem/inception-v4-score-boost", "kernel_id": "33285094"}, {"ref": "jitshil143/gravitatiional-wave-detection", "kernel_id": "33630690"}, {"ref": "assign/g2net-large-kernel-inference-fft-conv2d", "kernel_id": "33625403"}, {"ref": "kdmitrie/g2net-radon-trasform-for-data-preprocessing", "kernel_id": "33807582"}, {"ref": "satyanarayanam/g2net-best-single-model", "kernel_id": "33573902"}, {"ref": "esaihuamanmeza/eda-datos-de-ondas-gravitacionales-continuas", "kernel_id": "33933944"}, {"ref": "hnsyprst/consolidated-g2net-dataset-with-noise-reduction", "kernel_id": "33781336"}, {"ref": "hnsyprst/vit-track-and-map-generation", "kernel_id": "33793185"}, {"ref": "hnsyprst/denoised-data-soap-cnn", "kernel_id": "33814274"}, {"ref": "myso1987/g2net-noise-reduction-part", "kernel_id": "33781110"}, {"ref": "yoyobar/generating-gravitational-waves-from-sine-waves", "kernel_id": "33816310"}, {"ref": "songqizhou/g2net-pytorch-generated-realistic-noise-d0e462", "kernel_id": "33214586"}, {"ref": "pranavkuppa/g2net-image-recognition-final", "kernel_id": "33746041"}, {"ref": "namelessfairy/rules-of-nature", "kernel_id": "33419335"}, {"ref": "sumamallapragada/observations", "kernel_id": "33564100"}, {"ref": "azazaa/g2net-eda-modeling", "kernel_id": "33703647"}, {"ref": "lau01b/g2net-eplnet-train", "kernel_id": "33626347"}, {"ref": "kirillka95/gen-grav-wave-sign", "kernel_id": "33069867"}, {"ref": "kirillka95/g2n-test-data-gen", "kernel_id": "33323542"}, {"ref": "kirillka95/g2n-113gb-generated-data-clust-val-test-data", "kernel_id": "33617424"}, {"ref": "semenb/id23-28-12-2022", "kernel_id": "33422539"}, {"ref": "narenmanikandan07/freq-lstm", "kernel_id": "33440642"}, {"ref": "junkoda/optimal-weights-for-signal-to-noise-ratio", "kernel_id": "34037805"}, {"ref": "reboot2h/g2net", "kernel_id": "35521263"}, {"ref": "robber19/g2net-effnet-attn", "kernel_id": "36114435"}, {"ref": "xiejingcheng/g2net-large-kernel-inference", "kernel_id": "82753959"}, {"ref": "asdkarma/g2net-basic-audio-data-augmentation-inference-gpu", "kernel_id": "85576212"}, {"ref": "nocarbonintelligence/g2net-detection", "kernel_id": "103438869"}]}
{"competition_id": "37084", "kernels": []}
{"competition_id": "37087", "kernels": [{"ref": "parksuyoung1234/competition-2-nlp-topic-classification", "kernel_id": "27893186"}]}
{"competition_id": "37102", "kernels": []}
{"competition_id": "37103", "kernels": [{"ref": "nikbearbrown/tmnist-cnn-starter", "kernel_id": "27858998"}]}
{"competition_id": "37107", "kernels": []}
{"competition_id": "37110", "kernels": [{"ref": "kashnitsky/fake-papers-tf-idf-logistic-regression-baseline", "kernel_id": "27790388"}, {"ref": "capgos/la1-202211022", "kernel_id": "36477299"}, {"ref": "capgos/la2-lexi-pirates", "kernel_id": "36928048"}, {"ref": "capgos/detectgpt", "kernel_id": "37035580"}, {"ref": "shrianshmanhas/sample-cnn", "kernel_id": "39785649"}, {"ref": "shrianshmanhas/lstm-model", "kernel_id": "40849257"}, {"ref": "shrianshmanhas/sample-dnn", "kernel_id": "40846526"}, {"ref": "shrianshmanhas/bert-mini", "kernel_id": "40931167"}, {"ref": "alexzyukov/ai-generated-articles-detector", "kernel_id": "101699046"}]}
{"competition_id": "37115", "kernels": [{"ref": "stefanlessmann/submission-demo", "kernel_id": "27788039"}]}
{"competition_id": "37116", "kernels": [{"ref": "ardhanidzaky/predict-a-product-future-price", "kernel_id": "28352873"}]}
{"competition_id": "37121", "kernels": []}
{"competition_id": "37130", "kernels": [{"ref": "sebastingarcaacosta/baseline", "kernel_id": "27773497"}]}
{"competition_id": "37142", "kernels": [{"ref": "nhthong/sample-submission", "kernel_id": "27671507"}]}
{"competition_id": "37145", "kernels": []}
{"competition_id": "37158", "kernels": [{"ref": "agileteam/3rd-type1-3-3-1-3", "kernel_id": "27919421"}, {"ref": "agileteam/3rd-type1-1-3-1-1", "kernel_id": "27918661"}, {"ref": "agileteam/3rd-type1-2-3-1-2", "kernel_id": "27919051"}, {"ref": "agileteam/3rd-type2-3-2-baseline", "kernel_id": "27919846"}, {"ref": "normcoreboy/3-2-auc-score-0-790-rf-python", "kernel_id": "27990002"}, {"ref": "ptr8190/3rd-type1-2-3-1-2", "kernel_id": "28210082"}, {"ref": "ptr8190/3rd-type1-1-3-1-1", "kernel_id": "28210000"}, {"ref": "ptr8190/3rd-type1-3-3-1-3", "kernel_id": "28210250"}, {"ref": "ptr8190/3rd-type2-3-2-baseline", "kernel_id": "28210352"}, {"ref": "agileteam/t2-2-2-baseline-r2", "kernel_id": "28009260"}, {"ref": "judyleee/3rd-type1-1-3-1-1", "kernel_id": "28213339"}, {"ref": "joyongjin/t2-2-2-baseline-r2", "kernel_id": "28058375"}, {"ref": "bell2psy/3rd-type2-3-2", "kernel_id": "28203565"}, {"ref": "rhksejr91/t2-2-2-baseline-r2", "kernel_id": "28054147"}, {"ref": "chelly219/3rd-type1-2-3-1-2", "kernel_id": "28165681"}, {"ref": "chelly219/3rd-type1-1-3-1-1", "kernel_id": "28165804"}, {"ref": "skrnfl/3rd-type2-3-2", "kernel_id": "32755997"}, {"ref": "eggkimkr/3rd-type1-1-3-1-1", "kernel_id": "32167882"}, {"ref": "eggkimkr/3rd-type1-3-3-1-3", "kernel_id": "32275968"}, {"ref": "dmis0126/3-1-20221128", "kernel_id": "32360946"}, {"ref": "dmis0126/3th-t2-python", "kernel_id": "32763409"}, {"ref": "dmis0126/3th-t2-python-20221201", "kernel_id": "32914509"}, {"ref": "bbiyakk/3rd-type1-1-3-1", "kernel_id": "32867207"}, {"ref": "leemijeong22/3rd-type2-3-2-baseline", "kernel_id": "32936201"}, {"ref": "dduniverse/3rd-type1-3-3-1-3", "kernel_id": "32909800"}, {"ref": "dduniverse/3-2-python-xgb-0-79756", "kernel_id": "32898192"}, {"ref": "yimstar9/r-3-2-randomforest", "kernel_id": "32616210"}, {"ref": "bluenotejr/3rd-type1-2-3-1-2", "kernel_id": "32733759"}, {"ref": "bluenotejr/3rd-type1-3-3-1-3", "kernel_id": "32734363"}, {"ref": "bluenotejr/3rd-type1-1-3-1-1", "kernel_id": "32733095"}, {"ref": "kimseg/r2-0-81-t2-reg-ridge-gridsearchcv", "kernel_id": "32909575"}, {"ref": "kimseg/t2-classification-rf-gridsearchcv", "kernel_id": "32900043"}, {"ref": "darkrullernavercom/3rd-type2-3-2-baseline", "kernel_id": "38264395"}, {"ref": "jongukkim/3-0-80716", "kernel_id": "39612872"}, {"ref": "coldjellyfish/3rd-type2-3-2-baseline", "kernel_id": "39250958"}, {"ref": "minheeyu/dbg-day21-2", "kernel_id": "39640944"}, {"ref": "leemoodong/3rd-type1-1-3-1-1", "kernel_id": "39656938"}, {"ref": "leemoodong/3rd-type2-3-2-baseline", "kernel_id": "39658364"}, {"ref": "leemoodong/3rd-type1-2-3-1-2", "kernel_id": "39657499"}, {"ref": "leemoodong/3rd-type1-3-3-1-3", "kernel_id": "39657937"}, {"ref": "koyorobo/3-task2-645-kak-p", "kernel_id": "39640920"}, {"ref": "juneyoungchang/notebook82874e6987", "kernel_id": "39621115"}, {"ref": "minjunim/3-lgbm-roc-0-82", "kernel_id": "40208717"}, {"ref": "groobi/ju-lee-3-1-3-done", "kernel_id": "45707933"}, {"ref": "dongimjung/dongim-3-1-2", "kernel_id": "46432146"}, {"ref": "minjungsys/3rd-type1-3-3-1-3", "kernel_id": "46571596"}, {"ref": "minjungsys/3rd-type1-2-3-1-2", "kernel_id": "46569090"}, {"ref": "jhmooon/jihwan-3-1-3", "kernel_id": "46055880"}, {"ref": "goyeongmin/notebook871e1e1f5a", "kernel_id": "59882943"}, {"ref": "onlykaggle/bda-mission-26-20240613", "kernel_id": "59868444"}, {"ref": "tawan12/tw-3-2", "kernel_id": "59846180"}, {"ref": "uzogoon/notebook2ac81890f1", "kernel_id": "59825425"}, {"ref": "pandorilee/notebookde143b8df3", "kernel_id": "59879032"}, {"ref": "jinjja/bdac-3rd-type-2-1-2-2", "kernel_id": "59881542"}, {"ref": "joonhwanko/abcde", "kernel_id": "59878489"}, {"ref": "joonhwanko/x-train-x-test-y-train", "kernel_id": "59876624"}, {"ref": "aeng11/0613-2-classification-rocauc-0-813", "kernel_id": "59829192"}, {"ref": "kyoungranyu/notebook53f2dd24be", "kernel_id": "59862610"}, {"ref": "kyoungranyu/notebookb34584130a", "kernel_id": "59826497"}, {"ref": "sujiq9707/predict-chance-of-admit-mission27", "kernel_id": "59827544"}, {"ref": "mbko2000/3-2-baseline", "kernel_id": "59704793"}, {"ref": "gunseonjin/notebook7c7b537be5", "kernel_id": "59891984"}, {"ref": "onlykaggle/3rd-type1-2-3-1-2", "kernel_id": "60106531"}, {"ref": "onlykaggle/3rd-type1-3-3-1-3", "kernel_id": "60106804"}, {"ref": "onlykaggle/3rd-type1-1-3-1-1", "kernel_id": "60106234"}, {"ref": "tunnayu/t2-2-baseline-r2", "kernel_id": "65517731"}, {"ref": "tunnayu/type1-3", "kernel_id": "65472479"}, {"ref": "tunnayu/3rd-type2-1-baseline", "kernel_id": "65473826"}, {"ref": "tunnayu/type1-2", "kernel_id": "65470666"}, {"ref": "tunnayu/type1-1", "kernel_id": "65471343"}, {"ref": "chahyukjoo/baseline", "kernel_id": "71516902"}, {"ref": "minimi1115/notebook2f8aaaf763", "kernel_id": "71533268"}, {"ref": "lorddiablo74/big-data-analytics-feature-importance", "kernel_id": "72178352"}, {"ref": "khushbukakdiya/big-data-analysis", "kernel_id": "72140333"}]}
{"competition_id": "37159", "kernels": []}
{"competition_id": "37161", "kernels": [{"ref": "nicolabarbieri02/laptop-price-prediction", "kernel_id": "28945587"}]}
{"competition_id": "37171", "kernels": []}
{"competition_id": "37174", "kernels": [{"ref": "shahruk10/transcoding-augmenting-audio-on-the-fly", "kernel_id": "28920089"}, {"ref": "mobassir/commonvoice-bn-xls-r-metric-calculation", "kernel_id": "28436407"}, {"ref": "mbmmurad/faster-way-to-convert-mp3-to-wav-using-joblib", "kernel_id": "28410383"}, {"ref": "mbmmurad/mp3-to-wav-conversion", "kernel_id": "28368293"}, {"ref": "mbmmurad/end-to-end-pipeline-cnn-rnn-model-with-ctc-loss", "kernel_id": "28554859"}, {"ref": "tasnimnishatislam/speech-to-bert-pytorch-hugging-face", "kernel_id": "28824190"}, {"ref": "nazmuddhohaansary/wave2vec2-tpu-transfer-learning-dl-sprint", "kernel_id": "28834397"}, {"ref": "nazmuddhohaansary/tfrecords-for-transferlearning", "kernel_id": "28826887"}, {"ref": "nazmuddhohaansary/wave2vec2-tpu-transfer-learning-inference", "kernel_id": "28850323"}, {"ref": "nazmuddhohaansary/tfrecords-for-tpu-training", "kernel_id": "28505206"}, {"ref": "nazmuddhohaansary/tpu-training-basic-cnn-attention-dl-sprint", "kernel_id": "28542993"}, {"ref": "nazmuddhohaansary/logmelspctogram-basic-cnn-attention-modeling", "kernel_id": "28524840"}, {"ref": "nazmuddhohaansary/faster-way-to-convert-mp3-to-wav-using-joblib", "kernel_id": "28514148"}, {"ref": "nazmuddhohaansary/wav-trimming-and-length-analysis", "kernel_id": "28518066"}, {"ref": "nazmuddhohaansary/converting-pretrained-torch-models-to-tensorflow", "kernel_id": "28598443"}, {"ref": "nazmuddhohaansary/wave2vec2-tf-tpu-dl-sprint", "kernel_id": "28584276"}, {"ref": "nazmuddhohaansary/webinar-suplimentary-notebook-dl-sprint", "kernel_id": "28569588"}, {"ref": "nazmuddhohaansary/mp3-to-npy", "kernel_id": "28367036"}, {"ref": "nazmuddhohaansary/wave2vec2-starter-for-dl-sprint-commonvoice", "kernel_id": "28394759"}, {"ref": "umongsain/tokenizer-metric-resources", "kernel_id": "28374944"}, {"ref": "umongsain/spectrograms-quick-tour", "kernel_id": "28405059"}, {"ref": "umongsain/pre-trained-wav2vec2-bi-gram-kenlm-starter", "kernel_id": "28415174"}, {"ref": "umongsain/n-gram-language-model-with-kenlm-tranformers", "kernel_id": "28466882"}, {"ref": "nakkhatra/eda-commonvoice", "kernel_id": "28392902"}, {"ref": "sawradipsaha/dl-sprint-eda-preprocessing-functions", "kernel_id": "28390477"}, {"ref": "mdsakibullah/commonvoice-bn-xls-r-metric-calculation-79be58", "kernel_id": "28962273"}, {"ref": "mdsakibullah/sakib-commonvoice-bn-xls-r-metric-calculation", "kernel_id": "28847774"}, {"ref": "sameen53/yellowking-dlsprint-inference", "kernel_id": "28600052"}, {"ref": "ujjwalchowdhury/eda-and-preprocessing", "kernel_id": "28781735"}, {"ref": "shahruk10/training-notebook-wav2vec2", "kernel_id": "29854044"}, {"ref": "shahruk10/error-analysis-using-sctk", "kernel_id": "29022545"}, {"ref": "nexh98/sample-infer-notebook-submission", "kernel_id": "29690769"}, {"ref": "toki64/tpu-training-basic-cnn-attention-dl-sprint-9e2af9", "kernel_id": "29025091"}, {"ref": "mpwolke/levenshtein-distance-attempt", "kernel_id": "29544341"}, {"ref": "mpwolke/bengali-speech-mp3", "kernel_id": "29535131"}, {"ref": "afiaibnath/training-notebook-team-ds", "kernel_id": "29866042"}, {"ref": "mushrafimunim/wav2vec2-bn", "kernel_id": "29902289"}, {"ref": "oceanmonjur/final-train", "kernel_id": "29090378"}, {"ref": "redwanuddinahmad/dlllllllllllll", "kernel_id": "29077164"}, {"ref": "sirajissalakeen/2nd-place-rmedu-validator-dlsprint-training-code", "kernel_id": "29892756"}, {"ref": "sirajissalakeen/rmedu-validator-infer-notebook-without-internet", "kernel_id": "29898270"}, {"ref": "sirajissalakeen/bengali-asr-with-wav2vec2", "kernel_id": "29878595"}, {"ref": "shourovj/preprocessing-and-dataset-class-and-tokenizer", "kernel_id": "29077025"}, {"ref": "upamaadhikary/upama-augmentation", "kernel_id": "29080348"}, {"ref": "mujahidulislamnijhor/mujahidulislam-dl-sprint-8745", "kernel_id": "29238559"}, {"ref": "zuhebahmed/dlsprint-spectrogram-zuheb", "kernel_id": "29166720"}, {"ref": "khadizamorioumsama/sama-dl-sprint", "kernel_id": "29117710"}, {"ref": "zuhebahmed/fork-of-end-to-end-pipeline-cnn-rnn-model-with-ctc", "kernel_id": "30118481"}, {"ref": "nazmuddhohaansary/whisper-dl-sprint", "kernel_id": "31042981"}, {"ref": "zubairazimmiazi/commonvoice-bn-xls-r-metric-calculation", "kernel_id": "35933990"}, {"ref": "reasat/yellowking-dlsprint-inference", "kernel_id": "41175910"}, {"ref": "aimanlameesa/dlsprint-submission", "kernel_id": "41294504"}, {"ref": "mahadihasantarunno/banglaasr-whisper-openai", "kernel_id": "42647572"}, {"ref": "ingledarshan/fork-of-end-to-end-pipeline-cnn-rnn-model-with-ctc", "kernel_id": "47873974"}, {"ref": "sanidutta/notebooked04db46be", "kernel_id": "60697347"}, {"ref": "miftahuladib/backprop-sust-whispermedium-custom-train-2", "kernel_id": "100957563"}, {"ref": "miftahuladib/backprop-sust-whispermedium-custom-train-1", "kernel_id": "100940138"}, {"ref": "nazmussakibnafiz/audio-emotion-classification-dlsprint", "kernel_id": "107721793"}, {"ref": "nazmussakibnafiz/audio-player", "kernel_id": "107720837"}, {"ref": "mdmehedihasannayeem/initial-vscode", "kernel_id": "107671488"}]}
{"competition_id": "37179", "kernels": []}
{"competition_id": "37189", "kernels": []}
{"competition_id": "37190", "kernels": [{"ref": "loousmane/pr-diction-de-la-stabilit-des-enzymes-novozymes", "kernel_id": "28642702"}, {"ref": "riteshsinha/comprehensive-eda-on-protein-sequence", "kernel_id": "30712350"}, {"ref": "danofer/nesp-xgboost-baseline-0-033", "kernel_id": "30659684"}, {"ref": "danofer/enzymes-baseline-with-k-mers", "kernel_id": "30657823"}, {"ref": "danofer/novo-esp-esm", "kernel_id": "30658194"}, {"ref": "hengck23/lb0-335-deepdgg-server-benchmark", "kernel_id": "30672821"}, {"ref": "tilii7/prott5-xl-embedding", "kernel_id": "30720934"}, {"ref": "vslaykovsky/nesp-alphafold-v2-exact-match-data", "kernel_id": "30929230"}, {"ref": "vslaykovsky/nesp-alphafold2-all-close-matches", "kernel_id": "30950923"}, {"ref": "vslaykovsky/nesp-single-mutations-training-set", "kernel_id": "30654977"}, {"ref": "hengzheng/ddgun-predictions", "kernel_id": "30751518"}, {"ref": "hengzheng/nesp-tfidf-ridge-baseline", "kernel_id": "30609127"}, {"ref": "ashutosh3060/extensive-eda-novozymes-esp", "kernel_id": "30604724"}, {"ref": "ranamahmud/eda-feature-engineering-and-hyperparameter-tuning", "kernel_id": "30990966"}, {"ref": "docxian/novozymes-enzyme-stability-let-s-explore", "kernel_id": "30615358"}, {"ref": "dingyan/novozymes-transformer-encoder-with-tensorflow-tpu", "kernel_id": "30948312"}, {"ref": "tayyabali55/enzymes-baseline-model-lightgbm", "kernel_id": "30631193"}, {"ref": "dschettler8845/novo-esp-eda-baseline", "kernel_id": "30615426"}, {"ref": "dschettler8845/novo-esp-how-to-use-esm", "kernel_id": "30625311"}, {"ref": "dschettler8845/novo-esp-eli5-performant-approaches-lb-0-451", "kernel_id": "30767932"}, {"ref": "dschettler8845/novo-esp-fireprotdb-a-better-train-dataset", "kernel_id": "30982839"}, {"ref": "dschettler8845/novo-esp-how-to-use-updated-training-file", "kernel_id": "30830615"}, {"ref": "cdeotte/xgboost-5000-mutations-200-pdb-files-lb-0-410", "kernel_id": "30860389"}, {"ref": "cdeotte/train-data-13-000-single-point-edit-mutations", "kernel_id": "30749855"}, {"ref": "cdeotte/train-data-contains-mutations-like-test-data", "kernel_id": "30692087"}, {"ref": "oscarm524/eda-lightgbm-cv-0-52", "kernel_id": "30597416"}, {"ref": "ishaan45/nesp-domain-feature-engineering-baseline", "kernel_id": "30653854"}, {"ref": "ishaan45/nesp-feature-engineering-pipeline-modeling", "kernel_id": "30846631"}, {"ref": "kvigly55/plldt-and-ddg", "kernel_id": "30686562"}, {"ref": "kvigly55/fork-of-nesp-b-factor-nad-subsitutions", "kernel_id": "30666035"}, {"ref": "kvigly55/plldt-ddg-demask-sasa", "kernel_id": "30779855"}, {"ref": "sayedathar11/novo-esp-groupkfold-linear-regression-baseline", "kernel_id": "30627483"}, {"ref": "sayedathar11/novo-esp-predict-delta-tm-using-linear-reg", "kernel_id": "30892132"}, {"ref": "neerajmohan/biological-sequence-modeling-with-k-mer-features", "kernel_id": "30599332"}, {"ref": "alexandervc/novozymes-eda1-ordinalencvisualizationscorrrelat", "kernel_id": "30644236"}, {"ref": "pjt222/sequence-as-graph", "kernel_id": "30793623"}, {"ref": "pjt222/eda-vis-and-prep", "kernel_id": "30709277"}, {"ref": "rushikeshhiray/competition", "kernel_id": "30672365"}, {"ref": "mpwolke/novozymes-pdb-file", "kernel_id": "30595676"}, {"ref": "alejopaullier/nesp-eda-xgboost-baseline-0-025", "kernel_id": "30594354"}, {"ref": "alejopaullier/spearman-s-rank-correlation-coefficient-explained", "kernel_id": "30611155"}, {"ref": "muhammad4hmed/nes-simple-gru-train", "kernel_id": "30606235"}, {"ref": "muhammad4hmed/nes-simple-gru-inference", "kernel_id": "30617432"}, {"ref": "balabaskar/novo-esp-eda-base-model", "kernel_id": "30617158"}, {"ref": "oxzplvifi/novozymes-in-r-blosum-deepddg-demask", "kernel_id": "30882354"}, {"ref": "dinowun/eda-simplified-nesp", "kernel_id": "30626357"}, {"ref": "lucasmorin/nesp-changes-eda-and-baseline", "kernel_id": "30619762"}, {"ref": "lucasmorin/bag-of-word-lgbm-ensemble", "kernel_id": "30605708"}, {"ref": "carlmcbrideellis/enzyme-location-location-location", "kernel_id": "30609292"}, {"ref": "tensorchoko/novozymes-eda-en-jp", "kernel_id": "30895059"}, {"ref": "tscheung/frequency-matrix-lgbmregressor-quick-submission", "kernel_id": "30603944"}, {"ref": "aniruddhapa/enzyme-stability-xgboost-baseline-model-0-14", "kernel_id": "30989826"}, {"ref": "makarbaderko/encoding-proteins-data", "kernel_id": "30657701"}, {"ref": "akshatdevve/i-think-i-know-what-i-am-doing", "kernel_id": "30616074"}, {"ref": "tatamikenn/novozymes-eda-on-mutation-in-test-data", "kernel_id": "30761537"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "chazzer/ml-grandmaster-linear-regression", "kernel_id": "30877457"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/eda-lstm-baseline-0-128", "kernel_id": "30677013"}, {"ref": "chazzer/eda-visualize-pdb-alphafold-3d-structure", "kernel_id": "30607138"}, {"ref": "tracyporter/novonzymes-lin-reg-ph", "kernel_id": "30826799"}, {"ref": "tracyporter/novonzymes-lin-reg-remove-outliers", "kernel_id": "30826374"}, {"ref": "tracyporter/novonzymes-ridge", "kernel_id": "30818392"}, {"ref": "tracyporter/novonzymes-xgboost", "kernel_id": "30818117"}, {"ref": "tracyporter/novonzymes-knn", "kernel_id": "30864973"}, {"ref": "tracyporter/novonzymes-sgd", "kernel_id": "30856455"}, {"ref": "tracyporter/novonzymes-lin-reg", "kernel_id": "30799303"}, {"ref": "tracyporter/novonzymes-mlpr", "kernel_id": "30802172"}, {"ref": "tracyporter/novonzymes-kernelridge", "kernel_id": "30797145"}, {"ref": "edwintyh/nesp-starter-eda", "kernel_id": "30611709"}, {"ref": "geraseva/dynamut2", "kernel_id": "30740107"}, {"ref": "mikhailtsybakov/modification-of-blosum-score-on-deletions", "kernel_id": "30994321"}, {"ref": "jinyuansun/eda-and-finetune-esm", "kernel_id": "30799907"}, {"ref": "cafelatte1/nesp-transformer-based-model", "kernel_id": "30600637"}, {"ref": "roberthatch/novo-train-data-contains-wildtype-groups", "kernel_id": "30965865"}, {"ref": "rajeshh/location-and-blosum90-substitution-score", "kernel_id": "30654724"}, {"ref": "timurtalikbayev/novozymes-enzyme-stability-prediction-kaggle", "kernel_id": "30600502"}, {"ref": "mahdeemushfiquekamal/enzyme-stability-prediction", "kernel_id": "30856583"}, {"ref": "satyaprakashshukl/xgb-ensemble-nvz-eda", "kernel_id": "30633374"}, {"ref": "satyaprakashshukl/novozymes-enzyme-stability-3deda", "kernel_id": "30626318"}, {"ref": "starlighter/novozymes-eda-optimization", "kernel_id": "30634747"}, {"ref": "edadi1l/all-necessary-eda-novozymes-enzyme-stability", "kernel_id": "30657753"}, {"ref": "fadyesam/novozymes-enzyme-stability-eda-prediction", "kernel_id": "30619021"}, {"ref": "mohdmuttalib/biological-sequence-modeling-with-k-mer-features", "kernel_id": "30704206"}, {"ref": "chinartist/fork-nesp-an-error-was-corrected", "kernel_id": "30684366"}, {"ref": "chinartist/lb-0-152-ml-ensemble", "kernel_id": "30845347"}, {"ref": "ismaelalpaso/nesp-eda-3d-protein-v-2", "kernel_id": "30707502"}, {"ref": "ismaelalpaso/eda-nesp-3d-protein", "kernel_id": "30632345"}, {"ref": "ganeshborkar31/novo-esp-eli5-performant-approaches-lb-0-425", "kernel_id": "30856967"}, {"ref": "kaggleqrdl/esm-quick-start-lb237", "kernel_id": "30909203"}, {"ref": "xixihaha318/novozymes-enzyme-stability-prediction-with-pytorch", "kernel_id": "30654773"}, {"ref": "ltrahul/novozymes-enzyme-beginner-approach", "kernel_id": "30830230"}, {"ref": "mattop/novozymes-enzyme-stability-3d-plots-eda", "kernel_id": "30594424"}, {"ref": "alexandershumilin/ideas-on-enzyme-prediction-features-as-char-comb", "kernel_id": "30988307"}, {"ref": "alexanderblira/et645-atividade-4", "kernel_id": "30720955"}, {"ref": "vibhorsharma111/groupkfold-linear-regression-lb-0-15", "kernel_id": "30849752"}, {"ref": "hiringfreeze/protein-sequence-encoding", "kernel_id": "30624002"}, {"ref": "cpmpml/protein-bert-finetune-with-2-t4", "kernel_id": "31628798"}, {"ref": "jsmithperera/chris-deotte-s-5000x200-blosum100-lb-0-406", "kernel_id": "31518277"}, {"ref": "tilii7/surface-area-scaled-by-blosum62-substitutions", "kernel_id": "31409823"}, {"ref": "tilii7/residue-depth-scaled-by-blosum45-substitutions", "kernel_id": "31442531"}, {"ref": "vslaykovsky/nesp-thermonet", "kernel_id": "31131496"}, {"ref": "vslaykovsky/nesp-thermonet-v2", "kernel_id": "31686658"}, {"ref": "vslaykovsky/14656-unique-mutations-voxel-features-pdbs", "kernel_id": "31698905"}, {"ref": "konohayui/enzyme-topic-modeling-and-network-analysis", "kernel_id": "31841363"}, {"ref": "dingyan/novo-proteinbert-finetune-with-tensorflow-tpu", "kernel_id": "31459235"}, {"ref": "dingyan/nesp-tfrecrods-generating", "kernel_id": "31147992"}, {"ref": "tbhonest/train-1st-round", "kernel_id": "31152707"}, {"ref": "tbhonest/enzyme-eda", "kernel_id": "31149000"}, {"ref": "tanreinama/proteinbert-baseline", "kernel_id": "31790449"}, {"ref": "tanreinama/proteinbert-embed-swapped-token", "kernel_id": "31813195"}, {"ref": "dschettler8845/novo-esp-surface-area-w-biopython", "kernel_id": "31288676"}, {"ref": "dschettler8845/novo-esp-residue-depth-and-more-w-biopython", "kernel_id": "31402057"}, {"ref": "cdeotte/difference-features-lb-0-600", "kernel_id": "31945865"}, {"ref": "cdeotte/prot-bert-finetune-lb-0-30", "kernel_id": "31543983"}, {"ref": "sgreiner/novo-esp-lstm-ngram-self-attention", "kernel_id": "31507445"}, {"ref": "sgreiner/novo-esp-lstm", "kernel_id": "31286731"}, {"ref": "viktorfairuschin/novozymes-deepddg", "kernel_id": "31666567"}, {"ref": "homofaberus/novozymes-data-enrichement", "kernel_id": "31323354"}, {"ref": "kuntalpal/xgboost-baseline-bayesian-optimization", "kernel_id": "31106523"}, {"ref": "kuntalpal/eda-visualization", "kernel_id": "31035734"}, {"ref": "kuntalpal/transformers-is-all-you-need", "kernel_id": "31572851"}, {"ref": "wanko123/novoemzime-eda-w-biopython", "kernel_id": "31607545"}, {"ref": "wanko123/novoenzyme-protbert-embedding-eda", "kernel_id": "31678985"}, {"ref": "wanko123/novoenzyme-deepdive-sequence-similarity", "kernel_id": "31750018"}, {"ref": "geokocha/diving-to-tuning", "kernel_id": "31980657"}, {"ref": "oxzplvifi/rmsd-from-molecular-dynamics", "kernel_id": "31306772"}, {"ref": "hadeux/lgbm-regressor", "kernel_id": "31793526"}, {"ref": "jbomitchell/spearman-correlation-of-public-models", "kernel_id": "31511860"}, {"ref": "deep1511/novo-enzyme-train-cleaner", "kernel_id": "31106047"}, {"ref": "chazzer/nesp-ensemble-lb-0-5", "kernel_id": "31453984"}, {"ref": "venkatkumar001/nesp1-baseline-eda-xgb", "kernel_id": "31063752"}, {"ref": "geraseva/duet-tool", "kernel_id": "31133657"}, {"ref": "geraseva/sdm-tool", "kernel_id": "31127078"}, {"ref": "geraseva/mcsmtool", "kernel_id": "31091463"}, {"ref": "mikhailtsybakov/exploring-closest-acids-in-terms-of-3d-structure", "kernel_id": "31254324"}, {"ref": "iliazenin/nesp-fireprotdb-aminoacids-physchem-properties", "kernel_id": "31319493"}, {"ref": "bennyfung/novozymes-esp-1-and-2-sequence-protein", "kernel_id": "31830262"}, {"ref": "cafelatte1/nesp-5000-mutant-200-pdb-with-ml-models-ddg", "kernel_id": "31935037"}, {"ref": "cafelatte1/nesp-plddt", "kernel_id": "31931522"}, {"ref": "cafelatte1/nesp-create-dataset-target-ddg", "kernel_id": "31322811"}, {"ref": "cafelatte1/nesp-create-dataset-multi-sources", "kernel_id": "31052822"}, {"ref": "cafelatte1/nesp-blosum100", "kernel_id": "31150713"}, {"ref": "cafelatte1/nesp-plddt-with-blosum100-score-scaling", "kernel_id": "31152633"}, {"ref": "roberthatch/nesp-alphafold-getarea-exploration", "kernel_id": "31045987"}, {"ref": "roberthatch/nesp-performance-ensemble-save-df", "kernel_id": "31912062"}, {"ref": "saidtaghadouini/using-only-the-sequential-information-lstm", "kernel_id": "31226319"}, {"ref": "saidtaghadouini/esm-protein-embeddings", "kernel_id": "31399831"}, {"ref": "tarekferssiwi/enzyme-tm-prediction", "kernel_id": "31478462"}, {"ref": "shlomoron/nesp-relaxed-rosetta-scores", "kernel_id": "31806912"}, {"ref": "shlomoron/train-wildtypes-af-files-exploration", "kernel_id": "31121714"}, {"ref": "biswajit01/novozymes-enzyme-stability-prediction", "kernel_id": "31399450"}, {"ref": "ahmedelfazouan/rank-ensemble", "kernel_id": "31118722"}, {"ref": "raagulbharatwajk/enzyme-stability-prediction", "kernel_id": "31409182"}, {"ref": "shahrukhpathan/flow-control", "kernel_id": "31532686"}, {"ref": "mohdmuttalib/novozymes-enzyme-stability-prediction", "kernel_id": "31825399"}, {"ref": "alienmonster98/nesp-eda-xgboost-baseline-0-025", "kernel_id": "31440329"}, {"ref": "kaggleqrdl/chris-diff-features-with-ropeonmars-esm", "kernel_id": "31987429"}, {"ref": "suhancho/predict-with-pretrained-embedding-model-by-meta", "kernel_id": "31619631"}, {"ref": "edwardotieno/enzymes-eda-with-biopandas", "kernel_id": "31869904"}, {"ref": "seyered/eda-novozymes-enzyme-stability", "kernel_id": "31868842"}, {"ref": "thesteve21/nesp-thermonet", "kernel_id": "31776590"}, {"ref": "thesteve21/enzyme-stability-prediction-course-project", "kernel_id": "31535131"}, {"ref": "tonymathieux/eda-and-groups-of-variants-in-training-dataset", "kernel_id": "31588589"}, {"ref": "alexandershumilin/enzymes-stability-prediction-with-lstm-on-tpu", "kernel_id": "31450952"}, {"ref": "arushikabansal/enzymes", "kernel_id": "31901263"}, {"ref": "subachev/train-set-infer-99-wild-types-for-4334-rows", "kernel_id": "31602648"}, {"ref": "aspiring/nesp-relaxed-rosetta-scores", "kernel_id": "31824523"}, {"ref": "samuelabiye/samuel-full-work-of-chris", "kernel_id": "31713488"}, {"ref": "abrafey/mi-rna-enzyme-different-model-comparison", "kernel_id": "31735545"}, {"ref": "alexryzhkov/novozymes-enzyme-stability-prediction-kernel-stats", "kernel_id": "32176908"}, {"ref": "cpmpml/difference-features-lb-0-600", "kernel_id": "32136580"}, {"ref": "danofer/proteinbert-embed-swapped-token", "kernel_id": "32127280"}, {"ref": "kariim/enzyms", "kernel_id": "32891721"}, {"ref": "onurrr90/why-novozymes-competition-data-is-updated", "kernel_id": "32496604"}, {"ref": "narendra/candidate-groups", "kernel_id": "32462054"}, {"ref": "narendra/novozyme-baseline-pytorch", "kernel_id": "32402288"}, {"ref": "narendra/enzyme-highlevel-eda", "kernel_id": "32345609"}, {"ref": "narendra/novozyme-lstm-local-linear-baseline-pytorch", "kernel_id": "32568882"}, {"ref": "narendra/novozyme-lstm-local-pytorch-external-data", "kernel_id": "32620313"}, {"ref": "awater1223/fork-14656-unique-mutations-voxel-features-pdbs", "kernel_id": "32676498"}, {"ref": "awater1223/fork-deletion-specific-ensemble-python", "kernel_id": "32460240"}, {"ref": "brachistochron/esp-v1", "kernel_id": "32575568"}, {"ref": "arunamenon/novozymes-eda-modelling-protbert-xgboost", "kernel_id": "32750383"}, {"ref": "sgreiner/esmfold-pdb-download", "kernel_id": "32161715"}, {"ref": "sgreiner/esmfold-vs-alphafold-eda", "kernel_id": "32732169"}, {"ref": "kunduruanil/nesp-eda", "kernel_id": "32844684"}, {"ref": "darkcore/stability-prediction-w-xgb", "kernel_id": "32887280"}, {"ref": "bcantt/correlation-of-protein-strings-and-max-min", "kernel_id": "32057996"}, {"ref": "bcantt/correlation-feature-engineering-open-to-improve", "kernel_id": "32029551"}, {"ref": "ymdhryk/eda-on-test-data-enzyme-stability-prediction", "kernel_id": "32389817"}, {"ref": "viktorfairuschin/novozymes-competition-data-esm-features", "kernel_id": "32493038"}, {"ref": "viktorfairuschin/pdb-search-for-training-data", "kernel_id": "32528468"}, {"ref": "viktorfairuschin/secondary-structure-assignment-using-biopython", "kernel_id": "32595657"}, {"ref": "viktorfairuschin/ssbio-thermostability-prediction", "kernel_id": "32797595"}, {"ref": "tavoglc/amino-acid-properties-for-feature-engineering", "kernel_id": "32627977"}, {"ref": "tavoglc/linear-regression-for-enzyme-stability-prediction", "kernel_id": "32622880"}, {"ref": "tavoglc/enzymes-as-time-series", "kernel_id": "32687396"}, {"ref": "rachanabisht/novozyme-eda", "kernel_id": "32861182"}, {"ref": "pjt222/mlr3-basic", "kernel_id": "32793231"}, {"ref": "pjt222/esm-api-pdb-test-train400", "kernel_id": "32422980"}, {"ref": "pjt222/esm-pdb-via-api-and-processing", "kernel_id": "32004875"}, {"ref": "ystsuji/prediction-by-mutation-information-of-test-data", "kernel_id": "32946857"}, {"ref": "oxzplvifi/deletion-specific-ensemble", "kernel_id": "32404591"}, {"ref": "gyozzza/create-graph-data-from-pdb-files-for-gnn", "kernel_id": "32150763"}, {"ref": "albertwang888/a-quick-use-of-automl", "kernel_id": "32402851"}, {"ref": "lililycai/fastai-thermonet2", "kernel_id": "32981830"}, {"ref": "crownsss/deepdgg", "kernel_id": "32420416"}, {"ref": "crownsss/plddt-ensemble", "kernel_id": "32413531"}, {"ref": "grantwiersum/protparam-only-baseline-predictions", "kernel_id": "32012737"}, {"ref": "ashokkumargarain/notebookc0c2a36838", "kernel_id": "32871863"}, {"ref": "nehahatti/novozymes-enzyme-stability-prediction", "kernel_id": "32403078"}, {"ref": "lordxerxes/my-enzyme-stability-prediction-2", "kernel_id": "32359819"}, {"ref": "talhaumar/predict-thermostability-of-enzymes", "kernel_id": "32079229"}, {"ref": "nadakyung/novozymes", "kernel_id": "32692652"}, {"ref": "bennyfung/enzymes-esp-1-sequence-protein", "kernel_id": "32065667"}, {"ref": "cafelatte1/nesp-plddt-with-demask-score-scaling", "kernel_id": "32384344"}, {"ref": "cafelatte1/nesp-create-dataset-14656-mutant-with-pdbs", "kernel_id": "32289684"}, {"ref": "arbor0701/enzyme-stability-prediction-by-rnn", "kernel_id": "32112033"}, {"ref": "shlomoron/nesp-dtm-ddg-correlation", "kernel_id": "32671109"}, {"ref": "oftenpoppo/pdb-to-graph-data", "kernel_id": "32844053"}, {"ref": "pragyanbeuria/enzyme-stability-prediction-rand-forest-approch", "kernel_id": "32596987"}, {"ref": "daehunbae/esm-2-pseudo-perplexity-ranking", "kernel_id": "32550998"}, {"ref": "alexandrgavrilenko/esm-photoprotein", "kernel_id": "32799556"}, {"ref": "chigoziechukwu/diabetes-present-or-not", "kernel_id": "32832473"}, {"ref": "llbbllbb2000/123-final", "kernel_id": "32928274"}, {"ref": "zrongchu/nesp-xgboost", "kernel_id": "32486453"}, {"ref": "zrongchu/foldx", "kernel_id": "32511868"}, {"ref": "zrongchu/6000-unique-mutation-with-dtm-and-ddg", "kernel_id": "32311469"}, {"ref": "dharvimittal/enzymes", "kernel_id": "32474763"}, {"ref": "nayerbasim/thermostability-2", "kernel_id": "32842523"}, {"ref": "analyticsbiotech/simple-randomforestregressor-to-get-started", "kernel_id": "32952235"}, {"ref": "devanshu12122/novozymes-enzyme-stability-prediction-using-xgb", "kernel_id": "32094114"}, {"ref": "anuradhabaptagiri/notebook71bbed6701", "kernel_id": "32150961"}, {"ref": "anuradhabaptagiri/notebook99f3fccd03", "kernel_id": "32658147"}, {"ref": "anuradhabaptagiri/notebook9dcc597a44", "kernel_id": "32654710"}, {"ref": "thesteve21/eda-visualize-pdb-alphafold-3d-structure", "kernel_id": "32184000"}, {"ref": "vijurangannavar/novoenzyme-protbert-embedding-eda", "kernel_id": "32162231"}, {"ref": "vijurangannavar/notebookafbc9f889d", "kernel_id": "32686662"}, {"ref": "alpertekiin/stability-prediction-with-xgboost", "kernel_id": "32841464"}, {"ref": "mr0106/n-e-s-p", "kernel_id": "32573853"}, {"ref": "ahmedmohsen2002/enzyme-stability-prediction-lstm", "kernel_id": "32030435"}, {"ref": "leazerep/logarithmic-transformation-skew", "kernel_id": "32189295"}, {"ref": "nehapatil1905/xgboost", "kernel_id": "32054508"}, {"ref": "nehapatil1905/fork-of-notebook8eb2f25ce0-0726f5", "kernel_id": "32190660"}, {"ref": "nehapatil1905/randomf", "kernel_id": "32977401"}, {"ref": "sanjanahiregoudar/notebook-models", "kernel_id": "32131968"}, {"ref": "robbertvang/enzyme-stability", "kernel_id": "32506949"}, {"ref": "philippschwarz/combine-all-datasets-nesp-xgboost", "kernel_id": "33128156"}, {"ref": "cdeotte/public-lb-1st-place-solution", "kernel_id": "33911260"}, {"ref": "sgreiner/novo-esp-rasp-baseline", "kernel_id": "33455419"}, {"ref": "kunduruanil/automl-modelselection", "kernel_id": "33499224"}, {"ref": "batprem/novozymes-ensemble", "kernel_id": "33580087"}, {"ref": "viktorfairuschin/thermostability-prediction-with-rasp-model", "kernel_id": "33151234"}, {"ref": "ricopue/nesp-siamese-classification", "kernel_id": "33838877"}, {"ref": "rachanabisht/novozyme-prot-bert-model-2", "kernel_id": "33201143"}, {"ref": "pjt222/train-data-wildtype-candidates", "kernel_id": "33086720"}, {"ref": "kuntalpal/esm-thermonet-models", "kernel_id": "33293217"}, {"ref": "kuntalpal/how-good-simple-nn-can-be", "kernel_id": "33121858"}, {"ref": "prachi13/lgbmboostregressor-rmse-score-r2", "kernel_id": "33460016"}, {"ref": "aleron751/ml-head-for-validation", "kernel_id": "33545893"}, {"ref": "aleron751/af2-wt-mut-features", "kernel_id": "33712521"}, {"ref": "aleron751/esmfold-prediction-by-api", "kernel_id": "33045868"}, {"ref": "aleron751/train-duet-esmfold", "kernel_id": "33537722"}, {"ref": "gyozzza/graphcentrality", "kernel_id": "33886157"}, {"ref": "gyozzza/nesp-gnn-data", "kernel_id": "33936161"}, {"ref": "saraswatitiwari/novozymes-enzyme-stability-prediction", "kernel_id": "33446583"}, {"ref": "jbomitchell/model-a", "kernel_id": "33402440"}, {"ref": "jbomitchell/model-b", "kernel_id": "33740197"}, {"ref": "lililycai/fastai-thermonet2-2", "kernel_id": "33132750"}, {"ref": "lililycai/train-data-organize", "kernel_id": "33384664"}, {"ref": "acousticmusic/easy-understand-xgboost", "kernel_id": "33222854"}, {"ref": "saeedshahi/cart-ddg-rosseta", "kernel_id": "33769682"}, {"ref": "geraseva/gemme", "kernel_id": "33353134"}, {"ref": "piyushkushwaha/notebook6168516947", "kernel_id": "33497278"}, {"ref": "cafelatte1/nesp-ml-deep-feature-engineering-with-esm-pdb", "kernel_id": "33251732"}, {"ref": "cafelatte1/nesp-create-data-esm-pdb", "kernel_id": "33188997"}, {"ref": "cafelatte1/nesp-create-data-esm-pdb-ph-8", "kernel_id": "33194568"}, {"ref": "cafelatte1/nesp-biology-feature-ranking-with-catboostranker", "kernel_id": "33416261"}, {"ref": "cafelatte1/nesp-finetuned-esm2", "kernel_id": "33346215"}, {"ref": "cafelatte1/nesp-blobulator-features", "kernel_id": "33367321"}, {"ref": "cafelatte1/nesp-ensemble-prediction-with-public-nbs", "kernel_id": "33780091"}, {"ref": "roberthatch/nesp-probe-public-lb", "kernel_id": "33183786"}, {"ref": "roberthatch/rosetta-and-foldx-to-rank-single-point-mutations", "kernel_id": "33939476"}, {"ref": "saidtaghadouini/exploring-the-3d-geometry", "kernel_id": "33637138"}, {"ref": "renil28/novozymes-eda", "kernel_id": "33338597"}, {"ref": "shlomoron/nesp-clean-train-set-wt-tm-values", "kernel_id": "33290888"}, {"ref": "oftenpoppo/enzyme-gcnn-base", "kernel_id": "33827260"}, {"ref": "oftenpoppo/enzyme-cnn-stratkfold1", "kernel_id": "33827320"}, {"ref": "truthisneverlinear/deep-eda-of-proteins", "kernel_id": "33315276"}, {"ref": "songqizhou/private-lb-0-577-ensemble", "kernel_id": "33829530"}, {"ref": "vafaknm/enzyme-stability-prediction-with-multi-headed-ann", "kernel_id": "33758768"}, {"ref": "drrajkulkarni/quick-guide-for-non-genetics-biology", "kernel_id": "33046191"}, {"ref": "xiejingcheng/xjc-dataset", "kernel_id": "33459310"}, {"ref": "analyticsbiotech/16-evaluation-methods-updated-and-in-progress", "kernel_id": "33044011"}, {"ref": "ulrikthygepedersen/novozymes-enzyme-stability-prediction", "kernel_id": "33866895"}, {"ref": "alekseiartemiev/xgboost-catboost-gridsearch-automl", "kernel_id": "33328723"}, {"ref": "alekseiartemiev/nesp-scrape-protstab2", "kernel_id": "33266257"}, {"ref": "gehallak/nesp-3d-geometry-0-32-lb", "kernel_id": "33394523"}, {"ref": "thedesijuggad/novozymes-enzyme-stability-prediction-xgboost", "kernel_id": "33452143"}, {"ref": "olgashevtsova/enzimes-stability-search-for-the-best-model", "kernel_id": "33083687"}, {"ref": "raniahelmy/novo-lgbm-tunning-v6", "kernel_id": "33441870"}, {"ref": "camryanwashere/res2vec", "kernel_id": "33468177"}, {"ref": "camryanwashere/attention-from-scratch", "kernel_id": "33383269"}, {"ref": "nirmalkondreddy/novozyme-enzyme-prediction-using-xgb-and-nn", "kernel_id": "33791098"}, {"ref": "icyguy18/i190695", "kernel_id": "33005685"}, {"ref": "amudhagiridharan/r-bioseq-xgboost-kaggle-training-data", "kernel_id": "33210849"}, {"ref": "jonathan0298/novozymes-enzyme-stability-prediction-trial", "kernel_id": "33562566"}, {"ref": "jonathan0298/novozymes-enzyme-stability-prediction-gp11", "kernel_id": "33720502"}, {"ref": "sungraewoo/ridge", "kernel_id": "33095185"}, {"ref": "brandontsai99/ai-assingment", "kernel_id": "33707431"}, {"ref": "muhammadkamalabu/enzyme-prediction", "kernel_id": "33665438"}, {"ref": "gyozzza/nesp-gnn", "kernel_id": "34120562"}, {"ref": "lauraromar/novozymes-7th", "kernel_id": "34267685"}, {"ref": "joelpravin/bene4333-assignment-g6machina-novozymes-2022-2023", "kernel_id": "34467684"}, {"ref": "lililycai/rsasa", "kernel_id": "35272766"}, {"ref": "morsesmale/6000-unique-mutation-with-dtm-and-ddg", "kernel_id": "35657568"}, {"ref": "yeonseokcho/novozymes-enzyme-stability-prediction", "kernel_id": "36169998"}, {"ref": "swatiparida/xgboost-lightgm-catboost-regressor", "kernel_id": "37371954"}, {"ref": "morsesmale/normalize-weight-combo-target", "kernel_id": "37032915"}, {"ref": "hiromuhoshina/lightgbm-model", "kernel_id": "38807530"}, {"ref": "christina0626/prediction-1", "kernel_id": "38965732"}, {"ref": "ggwporz/enzyme-prediction-1-24d301", "kernel_id": "39168744"}, {"ref": "mustafamegahed/predict-co2-emissions-in-rwanda", "kernel_id": "42119457"}, {"ref": "tranminhthuan/novozymes-eda-modelling-protbert-xgboost", "kernel_id": "58467540"}, {"ref": "dsamanta/novo-esp-xgboost-eda-modeling-socre-0-038", "kernel_id": "62509220"}, {"ref": "vishalghosh11/novozymes", "kernel_id": "62337212"}, {"ref": "deotimachakraborty/enzyme-stability", "kernel_id": "63511929"}, {"ref": "nikhilrupnawar/genomicdsassignment", "kernel_id": "63581937"}, {"ref": "shivambhosale39/genomic-data-science-internship-assignment", "kernel_id": "63709790"}, {"ref": "anushreechakraworty/notebook115918675a", "kernel_id": "63413437"}, {"ref": "hiddenneuron/nesp-gian", "kernel_id": "67271340"}, {"ref": "evaaaas/feature-engineering-voting-classifier", "kernel_id": "68887014"}, {"ref": "zyh1104/025-novozymes-enzyme-stability-prediction", "kernel_id": "71512658"}, {"ref": "hatakekakshi/novozymes-enzyme-stability-prediction", "kernel_id": "76712977"}, {"ref": "artempodlegaev/create-graph-data-from-pdb-files-for-gnn", "kernel_id": "87212557"}, {"ref": "dokhanhan/enzyme-stability", "kernel_id": "88452579"}, {"ref": "gg2003/assignment", "kernel_id": "89239224"}, {"ref": "math5470xy/math5470-fu-gnn", "kernel_id": "92918352"}, {"ref": "keyanding2/fine-tuning-protbert-for-stability-prediction", "kernel_id": "106744511"}]}
{"competition_id": "37201", "kernels": []}
{"competition_id": "37209", "kernels": []}
{"competition_id": "37219", "kernels": []}
{"competition_id": "37224", "kernels": []}
{"competition_id": "37243", "kernels": []}
{"competition_id": "37244", "kernels": [{"ref": "gazu468/classification-with-pytorch", "kernel_id": "27738837"}, {"ref": "ryanholbrook/competition-metric-dfl-event-detection-ap", "kernel_id": "28517379"}, {"ref": "rafiko1/video-size-train-set", "kernel_id": "29485142"}, {"ref": "its7171/yolov7-finetune-with-soccernet", "kernel_id": "29534418"}, {"ref": "its7171/dfl-benchmark-training", "kernel_id": "29576223"}, {"ref": "its7171/dfl-benchmark-inference", "kernel_id": "29572932"}, {"ref": "its7171/yolov7-demo-with-dfl", "kernel_id": "29546742"}, {"ref": "finlay/dfl-frame-inference-enlgish", "kernel_id": "29599456"}, {"ref": "finlay/dfl-frame-training-english", "kernel_id": "29790823"}, {"ref": "seshurajup/dfl-frames-sensitive-competition-metric", "kernel_id": "29732473"}, {"ref": "kurupical/detect-all-action-every-1-or-0-5-seconds", "kernel_id": "29221416"}, {"ref": "kurupical/easy-examples-to-understand-competition-metric", "kernel_id": "29274395"}, {"ref": "kurupical/adding-label-in-video-for-efficient-eda", "kernel_id": "29329003"}, {"ref": "skalskip/dfl-bundesliga-detection-and-tracking", "kernel_id": "29543282"}, {"ref": "skalskip/dfl-bundesliga-field-sermentation-inference", "kernel_id": "29696467"}, {"ref": "skalskip/dfl-bundesliga-field-sermentation-training", "kernel_id": "29606001"}, {"ref": "skalskip/data-frame-post-processing", "kernel_id": "29998141"}, {"ref": "ihelon/bundesliga-data-shootout-eda", "kernel_id": "29188227"}, {"ref": "docxian/dfl-bundesliga-detailed-eda", "kernel_id": "29204751"}, {"ref": "samir95/pytorch-video-dataloader", "kernel_id": "29743594"}, {"ref": "samir95/pytorch-lightning-pytorch-video-training", "kernel_id": "29796211"}, {"ref": "pawan2905/yolov7-finetune", "kernel_id": "29921487"}, {"ref": "what5up/bundesliga-create-short-videos", "kernel_id": "29375652"}, {"ref": "s903124/homography-estimation-of-football-field", "kernel_id": "29473391"}, {"ref": "inagana/eda-insights-bundesliga-data-shootout", "kernel_id": "29211169"}, {"ref": "stpeteishii/bundesliga-yolov5-specialized-for-ball-detection", "kernel_id": "29987457"}, {"ref": "stpeteishii/bundesliga-pretrained-yolov7-ball-detection", "kernel_id": "29982948"}, {"ref": "mpwolke/fu-ball-bundesliga-is-onfire", "kernel_id": "29209249"}, {"ref": "amiiiney/dfl-mapping-the-scoring-intervals-to-the-frames", "kernel_id": "29221949"}, {"ref": "dinowun/eda-simplified-dfl-bundesliga-shootout", "kernel_id": "29255250"}, {"ref": "assign/dfl-tito-tta", "kernel_id": "29663173"}, {"ref": "gbalachandhiran/starter-kit-eda-yolo-and-scoring-inference", "kernel_id": "29451183"}, {"ref": "tscheung/fastest-submission-in-the-east", "kernel_id": "29190577"}, {"ref": "deepakkaura/dfl-world-of-german-domestic-football", "kernel_id": "29296926"}, {"ref": "shinmurashinmura/dfl-bad-situation-for-object-detection", "kernel_id": "29518879"}, {"ref": "shinmurashinmura/dfl-yolov5-ball-detection", "kernel_id": "29416417"}, {"ref": "danbouchard/dfl-footy-tracker", "kernel_id": "29626913"}, {"ref": "yokuyama/fast-video-resizing-with-ffmpeg-384x216", "kernel_id": "29206944"}, {"ref": "hidebu/make-image-files-for-annotation", "kernel_id": "29371564"}, {"ref": "hidebu/is-the-analysis-target-only-during-the-game-eda", "kernel_id": "29258163"}, {"ref": "hidebu/exploration-of-competition-metric-dfl-ap-jp-en", "kernel_id": "29198602"}, {"ref": "hidebu/dfl-fasterrcnn-for-men-detection-train-pytorch", "kernel_id": "29637113"}, {"ref": "hidebu/dfl-fasterrcnn-for-men-detection-infer-pytorch", "kernel_id": "29638123"}, {"ref": "kostiantynlavronenko/dfl-bundesliga-simple-cnn-lstm", "kernel_id": "29381233"}, {"ref": "kostiantynlavronenko/dfl-bundesliga-simple-cnn-lstm-inference", "kernel_id": "29553117"}, {"ref": "kostiantynlavronenko/dfl-bundesliga-data-overview", "kernel_id": "29195974"}, {"ref": "ahmedtarek26/eda-dfl-bundesliga-data-shootout", "kernel_id": "29464705"}, {"ref": "jannikkalkmann/bundesliga-eda", "kernel_id": "29281511"}, {"ref": "sugahara/dfl-poor-baseline-en-jp", "kernel_id": "29323968"}, {"ref": "xxxxyyyy80008/imageio-ffmpeg", "kernel_id": "29252058"}, {"ref": "xxxxyyyy80008/dfl-exploratory-data-analysis-and-video-processing", "kernel_id": "29251335"}, {"ref": "xxxxyyyy80008/moviepy", "kernel_id": "29254307"}, {"ref": "franciscomesquita/yolov5-football-ball-detection", "kernel_id": "29794096"}, {"ref": "qcqced/dfl-eda-data-preprocessing", "kernel_id": "29890483"}, {"ref": "corneliuskristianto/dfl-bundesliga-ball-detection", "kernel_id": "29567958"}, {"ref": "ghrangel/semantic-segmentation-bundesliga", "kernel_id": "29368007"}, {"ref": "rm1000/experimental-data-analysis-on-bds", "kernel_id": "29205414"}, {"ref": "emirhanai/bundesliga-emirhan-cnn-lstm-video-processing", "kernel_id": "29781496"}, {"ref": "rsiva1104/eda-and-data-analysis-for-bundesliga", "kernel_id": "29265089"}, {"ref": "fadyesam/dfl-bundesliga-videos-analysis-eda", "kernel_id": "29209891"}, {"ref": "mohdmuttalib/dlf-123", "kernel_id": "29326409"}, {"ref": "roniheka/preprocess-difference-extraction-between-frames", "kernel_id": "29242240"}, {"ref": "ryumdra/first-impression-dfl", "kernel_id": "29701836"}, {"ref": "luoyu1998/classify-use-resnet18", "kernel_id": "29873611"}, {"ref": "cbeaud/detect-all-action-every-0-58-or-1-seconds", "kernel_id": "29574103"}, {"ref": "thedevastator/dfl-efficientnet-baseline-tf", "kernel_id": "29426023"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "vibhorsharma111/yolov7-football-tracking", "kernel_id": "29551505"}, {"ref": "jackchungchiehyu/dfl-eda", "kernel_id": "30122497"}, {"ref": "finlay/dfl-video-basic-method-english", "kernel_id": "30014631"}, {"ref": "shams1/computer-vision-player-detect-opencv", "kernel_id": "30468573"}, {"ref": "laeyoung/dfl-notebook-sponsored-by-aindao", "kernel_id": "30597501"}, {"ref": "skalskip/testing", "kernel_id": "30158305"}, {"ref": "skalskip/stuff", "kernel_id": "30232681"}, {"ref": "kmizunoster/dfl-benchmark-inference-tta-fix-label-error", "kernel_id": "30541500"}, {"ref": "kmizunoster/dfl-benchmark-training-fix-label-error", "kernel_id": "30541894"}, {"ref": "stpeteishii/bundesliga-pretrained-yolov5-ball-detection", "kernel_id": "30055027"}, {"ref": "alejopaullier/mmaction2-demo", "kernel_id": "30059871"}, {"ref": "prajwalsood/tf-keras-dfl-vivit-with-weighted-softmax", "kernel_id": "30008404"}, {"ref": "saraswatitiwari/deutsche-fu-ball-liga", "kernel_id": "30819234"}, {"ref": "saraswatitiwari/dfl-league", "kernel_id": "30971197"}, {"ref": "lokmeneltarr/ttesttt", "kernel_id": "30831925"}, {"ref": "hidebu/dfl-yolov5-x-crop-img-infer", "kernel_id": "30335660"}, {"ref": "takaito/homography-transformation", "kernel_id": "30207641"}, {"ref": "tutusini/detect-all-action-every-1-or-0-5-seconds", "kernel_id": "30496932"}, {"ref": "tutusini/augmentally-generate-training-data-from-dfl-videos", "kernel_id": "30488589"}, {"ref": "michaelmortenson/intro-to-video-annotation-with-object-detection", "kernel_id": "30342169"}, {"ref": "michaelmortenson/intro-to-computer-vision-player-detect-opencv", "kernel_id": "30271681"}, {"ref": "jobayerhossain/yolov7-explanation-and-implementation-from-scratch", "kernel_id": "30797160"}, {"ref": "qcqced/dfl-make-clip-dataset-pytorchvideo", "kernel_id": "30006799"}, {"ref": "agneypraseed/opencv-dfl-bundesliga-data-shootout", "kernel_id": "30784366"}, {"ref": "satyaprakashshukl/player-detection-segmentation", "kernel_id": "30896273"}, {"ref": "stgkrtua/dfl-yolov5-balldetect-without-internet-torch1-9", "kernel_id": "30210305"}, {"ref": "stgkrtua/dfl-yolov5-balldetect-without-internet", "kernel_id": "30208365"}, {"ref": "shams1/video-loading-with-threading", "kernel_id": "31561643"}, {"ref": "shams1/shootout", "kernel_id": "31827260"}, {"ref": "bamps53/efficient-video-loading-with-threading", "kernel_id": "31317077"}, {"ref": "zzy990106/fork-of-fork-of-dfl-notebook-4fold", "kernel_id": "31099984"}, {"ref": "kyoshioka47/train-dfl-effnet-1dcnn-cv0-77", "kernel_id": "31403970"}, {"ref": "rodrigostallsikora/yolo-v5-video-inference-ball-detection", "kernel_id": "31608625"}, {"ref": "rodrigostallsikora/yolo-v5-inference-no-ball-detection", "kernel_id": "31610879"}, {"ref": "juanmarroquinalfaro/bundesliga-data-shootout-eda", "kernel_id": "31404052"}, {"ref": "madeiramml10/noise-stripping-for-soccer-event-detection", "kernel_id": "32300327"}, {"ref": "mohammedhany30/notebook2920609863", "kernel_id": "33499839"}, {"ref": "stpeteishii/bundesliga-pretrained-yolov8-ball-detection", "kernel_id": "34325963"}, {"ref": "ethanhu8093/bundesliga-pretrained-yolov8-ball-detection", "kernel_id": "34753773"}, {"ref": "arkbratishka/yolov8-finetune-with-soccernet", "kernel_id": "35172007"}, {"ref": "vishakkbhat/yolov7-explanation-and-implementation-from-scratch", "kernel_id": "35833189"}, {"ref": "jumabek/homography-estimation-of-football-field", "kernel_id": "37785480"}, {"ref": "stpeteishii/bundesliga-pretrained-yolo-nas-ball-detection", "kernel_id": "38592403"}, {"ref": "stpeteishii/football-yolov8-segmentation-bytetrack", "kernel_id": "39087875"}, {"ref": "mikulel/moviepy", "kernel_id": "39220211"}, {"ref": "barnik321/yolov8-ball-detection-finetune", "kernel_id": "39153943"}, {"ref": "mvaseekaran/notebook22218932ab", "kernel_id": "42921809"}, {"ref": "wadzim/fast-and-parallel-video-resizing-using-gpu", "kernel_id": "45995441"}, {"ref": "moore0403/yolov8-finetune-with-soccernet", "kernel_id": "48309733"}, {"ref": "trananhcuong/chatbot-fastapi", "kernel_id": "51582067"}, {"ref": "wadzim/data-augmentation-for-play-and-challenge", "kernel_id": "52221123"}, {"ref": "wadzim/action-segmentation-using-yolov7", "kernel_id": "52214274"}, {"ref": "shubhamgandhi02/federated-learning-v2", "kernel_id": "52996111"}, {"ref": "dunge0nmaster/dfl-notebook-4fold-training-inference-model-1", "kernel_id": "52141057"}, {"ref": "nhlunng/eda-and-train-model-using-yolov8", "kernel_id": "53404583"}, {"ref": "ntp6422/bundesliga-pretrained-yolov7-ball-detection", "kernel_id": "56985548"}, {"ref": "ntp6422/football-tracking", "kernel_id": "59139121"}, {"ref": "wadzim/action-segmentation-using-fastsam", "kernel_id": "65482546"}, {"ref": "wadzim/evaluate-result", "kernel_id": "65541786"}, {"ref": "kylewskim/yolov8-finetune-with-soccernet", "kernel_id": "72533628"}, {"ref": "elkhalildahani2/football-cv", "kernel_id": "117995222"}, {"ref": "stpeteishii/bundesliga-yolov8-player-detection", "kernel_id": "133494607"}]}
{"competition_id": "37252", "kernels": []}
{"competition_id": "37253", "kernels": [{"ref": "younisbashir/shai-younis-bashir", "kernel_id": "27873905"}, {"ref": "muki2003/randomforest-music-genre-classification", "kernel_id": "27935887"}, {"ref": "farahshamseddin/music-genre-classification", "kernel_id": "28536931"}, {"ref": "sondosbsharat/music-genre-classification-project-sondos", "kernel_id": "28434694"}, {"ref": "duonghuy2211/nhom05-sgu26-ml-challengemusicgenreclassification1", "kernel_id": "120210712"}, {"ref": "duonghuy2211/nhom05-sgu26ml-challengemusicgenreclassification2", "kernel_id": "120239455"}, {"ref": "duonghuy2211/nhom05-sgu26-ml-challengemusicgenreclassification3", "kernel_id": "120272505"}, {"ref": "duonghuy2211/nhom05-sgu26ml-challengemusicgenreclassification6", "kernel_id": "120298424"}, {"ref": "duonghuy2211/nhom05-sgu26ml-challengemusicgenreclassification5", "kernel_id": "120295381"}, {"ref": "duonghuy2211/nhom05-sgu26ml-challengemusicgenreclassification4", "kernel_id": "120290516"}]}
{"competition_id": "37262", "kernels": [{"ref": "kartikbali1296/test-notebook", "kernel_id": "28003482"}]}
{"competition_id": "37293", "kernels": []}
{"competition_id": "37299", "kernels": [{"ref": "pkrhg1/test-starter-notebook", "kernel_id": "28444901"}]}
{"competition_id": "37309", "kernels": []}
{"competition_id": "37310", "kernels": [{"ref": "ghoshsaibal/basic-eda-prediction-python-delhi-house-price", "kernel_id": "28312731"}, {"ref": "maneetsaluja/delhi-house-price-prediction-python", "kernel_id": "28301044"}, {"ref": "souravgargari/delhihousepred-260622", "kernel_id": "28257004"}]}
{"competition_id": "37324", "kernels": []}
{"competition_id": "37327", "kernels": []}
{"competition_id": "37332", "kernels": []}
{"competition_id": "37333", "kernels": [{"ref": "allunia/mayo-clinic-strip-ai-can-i-trust-my-model", "kernel_id": "28621890"}, {"ref": "vikash112/preprocessing-data", "kernel_id": "28544032"}, {"ref": "paulorzp/strip-ai-exploratory-data-analysis", "kernel_id": "28520848"}, {"ref": "tmyok1984/mayo-convert-tif-to-jpg", "kernel_id": "28522367"}, {"ref": "tmyok1984/mayo-stratifiedgroupkfold-cv", "kernel_id": "28554274"}, {"ref": "tmyok1984/pyvips-offline-installer", "kernel_id": "28964723"}, {"ref": "naotous/openslide-how-to-open-whole-slide-images", "kernel_id": "28521063"}, {"ref": "robikscube/mayo-clinic-image-dataset-1024-jpg", "kernel_id": "28521781"}, {"ref": "ernestogarciaruiz/mayo-clinic-strip-ai-baseline-submission", "kernel_id": "28987641"}, {"ref": "aliphya/eda-notebook-to-understand-blood-clots", "kernel_id": "28687274"}, {"ref": "anubhav1302/strip-eda", "kernel_id": "28526767"}, {"ref": "basfest/mayo-clinic-strip-ai-downscale-x30-png", "kernel_id": "28697293"}, {"ref": "rodrigocarrillo/import-model-trained-locally-20220715", "kernel_id": "28794700"}, {"ref": "datark1/eda-images-processing-and-exploration", "kernel_id": "28528766"}, {"ref": "docxian/strip-ai-eda-of-structured-data", "kernel_id": "28542514"}, {"ref": "awaldeep/first-look-eda-baseline-sub", "kernel_id": "28560378"}, {"ref": "dschettler8845/mcsai-exploratory-data-analysis-baseline", "kernel_id": "28572285"}, {"ref": "dschettler8845/mcsai-how-to-interact-with-large-tif-files", "kernel_id": "28579886"}, {"ref": "dschettler8845/use-pyvips-offline-v-2-1-13", "kernel_id": "28815771"}, {"ref": "dschettler8845/13th-tf-mcsai-no-tiling-model-inference", "kernel_id": "28731279"}, {"ref": "dschettler8845/mcsai-no-tiling-model-tpu-tf", "kernel_id": "28703457"}, {"ref": "yasufuminakama/mayo-train-images-size-1024-n-16-1", "kernel_id": "28643490"}, {"ref": "tarandeep97/eda-viz", "kernel_id": "28796182"}, {"ref": "analokamus/how-to-use-pyvips-offline", "kernel_id": "28826920"}, {"ref": "analokamus/a-sample-of-multi-instance-learning-model", "kernel_id": "28815942"}, {"ref": "analokamus/a-fast-tile-generation", "kernel_id": "28815732"}, {"ref": "jagdmir/mayo-eda-getting-started", "kernel_id": "28525995"}, {"ref": "kiruthigaa/mayo-clinic-strip-image-classification-ce-laa", "kernel_id": "28947384"}, {"ref": "krsna540/mayo-image-segmentation-pytorch-basics", "kernel_id": "28921829"}, {"ref": "manikanthgoud/mayo-clinic-strip-ai-exploratory-data-analysis", "kernel_id": "28528409"}, {"ref": "phanttan/mcsai-eda", "kernel_id": "28806454"}, {"ref": "phanttan/mcs-ai-helper-functions", "kernel_id": "28848383"}, {"ref": "phanttan/choose-format-for-resized-file", "kernel_id": "28948439"}, {"ref": "a13x10/pytorch-starter-code-mayo-clinic-strip-ai", "kernel_id": "28537553"}, {"ref": "mpwolke/ischemic-stroke-ais-etiology", "kernel_id": "28569660"}, {"ref": "mpwolke/stroke-ais-fastdup", "kernel_id": "28585004"}, {"ref": "iuryck/quick-blood-clot-slicing", "kernel_id": "28735666"}, {"ref": "jacksonkwong/what-7-predict", "kernel_id": "28805015"}, {"ref": "alejopaullier/weighted-multi-class-log-loss-explained", "kernel_id": "28650304"}, {"ref": "alejopaullier/background-vs-clots-classifier", "kernel_id": "28599614"}, {"ref": "chandniml/eda-mayo-clinic-py", "kernel_id": "28947178"}, {"ref": "arunpurakkatt/eda-image-processing-exploration", "kernel_id": "28568935"}, {"ref": "rajsengo/beginner-eda-mayo-strip-ai", "kernel_id": "28524635"}, {"ref": "queyrusi/mayo-clots-vgg11-gpu-train-submission", "kernel_id": "28570194"}, {"ref": "dinowun/eda-simplified-mayo-clinic-strip-ai", "kernel_id": "28631377"}, {"ref": "saurabhsawhney/initial-impressions-and-dumbmodel-submission", "kernel_id": "28799620"}, {"ref": "saurabhsawhney/mayo-beginners-how-to-make-a-submission", "kernel_id": "28829715"}, {"ref": "tscheung/pytorch-mayo-clinic-baseline-resnet18", "kernel_id": "28828771"}, {"ref": "josephkibira/mayo-clinic", "kernel_id": "28558023"}, {"ref": "muki2003/eda-training-effnet-mayo-strip-ai", "kernel_id": "28538594"}, {"ref": "towhidultonmoy/implementing-custom-weighted-multi-class-log-loss", "kernel_id": "28532710"}, {"ref": "mohammadalnajdawi/alexnet-model-mayo-clinic", "kernel_id": "28847013"}, {"ref": "jirkaborovec/bloodclots-eda-load-wsi-prune-background", "kernel_id": "28532773"}, {"ref": "jirkaborovec/bloodclots-classif-baseline-flash-effnet-aug", "kernel_id": "28555051"}, {"ref": "jirkaborovec/bloodclots-classif-lightning-flash-inference", "kernel_id": "28621692"}, {"ref": "jirkaborovec/bloodclots-classif-fake-prediction", "kernel_id": "28602709"}, {"ref": "mongramosjr/minivggnet-evaluation-on-stroke-blood-clot", "kernel_id": "28838895"}, {"ref": "mongramosjr/minivggnet-training-on-stroke-blood-clot", "kernel_id": "28792635"}, {"ref": "maunilshah/stroke-blood-clot-origin-training", "kernel_id": "28592447"}, {"ref": "nikitaglazunov/mayo-image-class-training", "kernel_id": "28750597"}, {"ref": "venkatkumar001/stripai-baseline-understanding-only-csv", "kernel_id": "28538613"}, {"ref": "pathikghugare/mayo-clinic-eda", "kernel_id": "28985386"}, {"ref": "shanmukh05/mayoclinic-eda-w-b", "kernel_id": "28798519"}, {"ref": "lenferdetroud/cnn-strip-ai-inference", "kernel_id": "28848809"}, {"ref": "raghavprabhakar66/stroke-blood-clot-classification", "kernel_id": "28541653"}, {"ref": "anantgupt/pyt-mayo-strip-ai-eda-train-efficientnet", "kernel_id": "28805640"}, {"ref": "nickuzmenkov/strip-ai-tpu-tf-training", "kernel_id": "28606358"}, {"ref": "nickuzmenkov/strip-ai-eda-data-preparation", "kernel_id": "28579183"}, {"ref": "nghihuynh/mc-strip-ai-exploratory-data-analysis", "kernel_id": "28955586"}, {"ref": "somesh88/mayo-clinic-eda-plotly-skimpy", "kernel_id": "28994904"}, {"ref": "xxxxyyyy80008/mayo-clinic-strip-ai-eda-and-image-processing", "kernel_id": "28987576"}, {"ref": "dariussingh/strip-ai-convert-tif-data-into-jpg", "kernel_id": "28606749"}, {"ref": "qcqced/strip-ai-eda-data-preprocessing-1k-png", "kernel_id": "28827871"}, {"ref": "yusaku5739/strip-ai-processing-images-to-16x256x256-tiles", "kernel_id": "28663208"}, {"ref": "sungjunghwan/eda-images-view-processing", "kernel_id": "28817766"}, {"ref": "sarahhhhhhhh/to-s3", "kernel_id": "28837071"}, {"ref": "uditsharma72/eda-mayo-clinic-stroke-blood-clot", "kernel_id": "28534560"}, {"ref": "xiafire/split-image-to-256-256-patch-256-256-patch", "kernel_id": "28633978"}, {"ref": "edadi1l/strip-ai-first-look-eda-on-csv", "kernel_id": "28539329"}, {"ref": "christopherwheatley/ml-image-classification-stroke", "kernel_id": "28822889"}, {"ref": "peterjakubowski/mayo-clinic-strip-image-segmentation", "kernel_id": "28789135"}, {"ref": "klukin/mayo-sub", "kernel_id": "28868668"}, {"ref": "jonathanma02/cnn-blood-clot-origin-classifier", "kernel_id": "28976850"}, {"ref": "cbeaud/hi-mayo-clinic-strip-ai", "kernel_id": "28537156"}, {"ref": "rafiaaa/eda-and-exploration-mayo-clinic", "kernel_id": "28846347"}, {"ref": "thedevastator/train-infer-coatnet-efficientnet", "kernel_id": "28917192"}, {"ref": "js2599/strip-ai", "kernel_id": "28850763"}, {"ref": "joshuacburt/mayo-clinic-strip-stroke-blood-clot-origin-1-8", "kernel_id": "28910903"}, {"ref": "joshuacburt/mayo-clinic-strip-1-8-background-color-corrected", "kernel_id": "28999612"}, {"ref": "iamravi1/mayo-clinic", "kernel_id": "28898744"}, {"ref": "konradb/prepare-folds", "kernel_id": "29023406"}, {"ref": "konradb/tez-train", "kernel_id": "29028692"}, {"ref": "konradb/tez-infer", "kernel_id": "29052910"}, {"ref": "thushthusinthaka/nishantha-mayo-clinic-prepare", "kernel_id": "29506774"}, {"ref": "pirudayaraj/mayo-clinic-mlt-free-eda-1", "kernel_id": "29974542"}, {"ref": "hmendonca/timm-inference-performance-benchmarks", "kernel_id": "29354894"}, {"ref": "yiheng/load-wsi-and-extract-patches-with-monai", "kernel_id": "29326147"}, {"ref": "ren4yu/mayo-clinic-removing-background-via-seam-carving", "kernel_id": "29475220"}, {"ref": "ksooklall/mayo-clinic-ensemble-model", "kernel_id": "29263249"}, {"ref": "ksooklall/mayo-clinic-eda-and-preprocessing", "kernel_id": "29166158"}, {"ref": "sinchanbhattacharya/going-through-the-data", "kernel_id": "29369856"}, {"ref": "binilj04/explore-traindata", "kernel_id": "29477623"}, {"ref": "binilj04/mayo-v1", "kernel_id": "29375919"}, {"ref": "vijaybj/top-score-preprocessing-mayo-clinic", "kernel_id": "29147165"}, {"ref": "vijaybj/top-score-submission-mayo-clinic", "kernel_id": "29993188"}, {"ref": "iraqai/swin-orb-hog-smote-oversample-lightning-train", "kernel_id": "29538039"}, {"ref": "iraqai/facebook-deit-inference", "kernel_id": "29452299"}, {"ref": "iraqai/facebook-deit-torch-lightning-starter-train", "kernel_id": "29419655"}, {"ref": "pbkowalski/dempster-shafer-ensemble-coatnet-efficientnet", "kernel_id": "29105968"}, {"ref": "ostykops/reading-the-largest-file", "kernel_id": "29783338"}, {"ref": "rodrigocarrillo/import-model-trained-locally-with-tiles-20220814", "kernel_id": "29567331"}, {"ref": "khyeh0719/pyvips-dependency", "kernel_id": "29874107"}, {"ref": "khyeh0719/mayo-submission", "kernel_id": "29958524"}, {"ref": "hiba007/mayo-clinic-eda-making-tiles-removing-background", "kernel_id": "29499432"}, {"ref": "poorneshwaran/share-may", "kernel_id": "29398380"}, {"ref": "jaideepvalani/tiles-mayo-using-rasterio", "kernel_id": "29430685"}, {"ref": "lucav48/mayo-clinic-exploratory-analysis-eda", "kernel_id": "29661410"}, {"ref": "djagatiya/strip-tiler-t1024-r224-n20", "kernel_id": "29948720"}, {"ref": "sakima/medical-whole-slide-processing-speed-up", "kernel_id": "29751960"}, {"ref": "takeajioka/inference-size-224-swin-tiny", "kernel_id": "29014438"}, {"ref": "mattiasb/mybdnw", "kernel_id": "29385758"}, {"ref": "noobyogi0100/mayo-clinic-strip-ai-data-exploration", "kernel_id": "29152925"}, {"ref": "frozenwolf/vit-masking-pytorch-training-inference", "kernel_id": "29069443"}, {"ref": "frozenwolf/vit-pytorch-training-inference", "kernel_id": "29036604"}, {"ref": "frozenwolf/submission-vit-pytorch-inference", "kernel_id": "29147617"}, {"ref": "frozenwolf/convnext-pytorch-training-inference", "kernel_id": "29147980"}, {"ref": "frozenwolf/xcit-pytorch-training-inference", "kernel_id": "29149667"}, {"ref": "frozenwolf/efficientnet-b4-pytorch-training-inference", "kernel_id": "29150077"}, {"ref": "meenakshiramaswamy/mayo-strip-ai-pytorch", "kernel_id": "29602822"}, {"ref": "kirderf/mayo-inference-memory-and-gpu-quota-efficient", "kernel_id": "29993291"}, {"ref": "girinchutia01/strip-ai-eda-visualization", "kernel_id": "29027743"}, {"ref": "abhisekdash37/mayo-dataset-of-img-slices", "kernel_id": "29088510"}, {"ref": "raufmomin/weighted-multi-class-logarithmic-loss-function", "kernel_id": "29480936"}, {"ref": "sourabhy/mayo-clinic-strip-ai-eda", "kernel_id": "29921486"}, {"ref": "josmiguelmiz/mayo-clinic-image", "kernel_id": "29966787"}, {"ref": "jirkaborovec/bloodclots-clotorigin-load-convert-wsi-to-png", "kernel_id": "29060708"}, {"ref": "mongramosjr/vggnet-evaluation-on-stroke-blood-clot", "kernel_id": "29421518"}, {"ref": "mongramosjr/vggnet-on-stroke-blood-clot-training", "kernel_id": "29412901"}, {"ref": "mongramosjr/efficientnet-on-stroke-blood-clot-training", "kernel_id": "29093304"}, {"ref": "mongramosjr/efficientnet-evaluation-on-stroke-blood-clot", "kernel_id": "29109923"}, {"ref": "mongramosjr/mayo-clinic-strip-preprocess-image-256x256-256", "kernel_id": "29124869"}, {"ref": "manojkumars00/mayo-clinic-resized-data-ready", "kernel_id": "29766311"}, {"ref": "nikitaglazunov/mayo-image-class-inf", "kernel_id": "29061484"}, {"ref": "sviatoslavsakharov/mayo-clinic-swin-v2-patched-96-inference", "kernel_id": "29734656"}, {"ref": "sviatoslavsakharov/mayo-clinic-swin-v2-patched-96", "kernel_id": "29944757"}, {"ref": "sviatoslavsakharov/mayoclinic-patch-images-final", "kernel_id": "29382693"}, {"ref": "utpalchandradas/notebook96e759504b", "kernel_id": "29833183"}, {"ref": "muhammadammarjamshed/health-classification-model", "kernel_id": "29785957"}, {"ref": "henrychibueze/mayo-clinic-dataset-downsampled-resolution", "kernel_id": "29056112"}, {"ref": "pathikghugare/mayo-clinic-offline-dependencies", "kernel_id": "29039265"}, {"ref": "pathikghugare/mayo-train-images-size-64-n-16", "kernel_id": "29159823"}, {"ref": "daisypeartree/strokecode", "kernel_id": "29320068"}, {"ref": "zhehaoliang/eda-of-mayo-from-statistical-perspective", "kernel_id": "29895271"}, {"ref": "vikassharma12911/mayo-1", "kernel_id": "29690657"}, {"ref": "mustafagull/image-classification-of-stroke-blood-clot-origin", "kernel_id": "29068416"}, {"ref": "amzadhossainrafi/mayo-clinic", "kernel_id": "29699492"}, {"ref": "nghihuynh/understanding-loss-functions-for-classification", "kernel_id": "29769459"}, {"ref": "nghihuynh/mayoclinic-wsi-preprocessing-tiling", "kernel_id": "29456469"}, {"ref": "somesh88/mayo-clinic-train-pytorch-lightning", "kernel_id": "29090948"}, {"ref": "xxxxyyyy80008/strip-ai-transfer-learning-w-pretrained-resnet", "kernel_id": "29055463"}, {"ref": "xxxxyyyy80008/strip-ai-understand-image-processing", "kernel_id": "29273171"}, {"ref": "karupakulaakhil/making-tiles-with-openslide-library-easy", "kernel_id": "29645948"}, {"ref": "smithprksh07/notebook4e4f844cd3", "kernel_id": "29894316"}, {"ref": "yinhaojie/baseline-with-resnet-by-paddle", "kernel_id": "29978089"}, {"ref": "qcqced/strip-ai-submission-pipeline", "kernel_id": "29469579"}, {"ref": "qcqced/strip-ai-efficient-net-regnet-train-pipeline", "kernel_id": "29469133"}, {"ref": "qcqced/strip-ai-remove-background-1k-png-image", "kernel_id": "29762397"}, {"ref": "qcqced/strip-ai-stain-color-normalize", "kernel_id": "29920905"}, {"ref": "ahmedmohamed11/strike", "kernel_id": "29157794"}, {"ref": "junjitakeshima/mayo-simple-cnn-starter-eng", "kernel_id": "29724752"}, {"ref": "maniklakherwal/mayo-clinic-eda", "kernel_id": "29096581"}, {"ref": "marcusngjh/mayo-clinic-stroke-data-analysis", "kernel_id": "29510052"}, {"ref": "taiseiyamana/pytorch-sample-code", "kernel_id": "29104731"}, {"ref": "kaichixie/tile-monai", "kernel_id": "29757023"}, {"ref": "minhajulhoque/mayo-clinic-efficientnet-transfer-learning", "kernel_id": "29161274"}, {"ref": "anisharavinth/mayo-clinic-image-classifier-v1", "kernel_id": "29192927"}, {"ref": "rsiva1104/eda-and-preprocessing-mayo-clinic-strip-ai", "kernel_id": "29221548"}, {"ref": "edadi1l/image-classification-baseline-strip-ai", "kernel_id": "29301315"}, {"ref": "urashimataro/how-to-trim-blank-of-picture", "kernel_id": "29941121"}, {"ref": "mohdmuttalib/mayo-clinic-13261313", "kernel_id": "29329014"}, {"ref": "turokpolo/mayonnaise", "kernel_id": "29029119"}, {"ref": "himanshunayal/mc-strip-ai-tensorflow-inference-public-lb-0-6", "kernel_id": "29440310"}, {"ref": "jlcordoba/mayo-clinic-strip-ai-svc", "kernel_id": "29071130"}, {"ref": "myncoder0908/strip-ai-transfer-learning-with-keras", "kernel_id": "29481148"}, {"ref": "myncoder0908/strip-ai-infer-the-way-to-submission", "kernel_id": "29497129"}, {"ref": "ahmedgeka/stroke-blood-clot-origin", "kernel_id": "29200361"}, {"ref": "rajatharigasp/mayo-eda", "kernel_id": "29648950"}, {"ref": "abdelrahimabdelazim/mayo-clinic-2", "kernel_id": "29815356"}, {"ref": "rushikeshdhaigude/mayo-clinic-strip-ai", "kernel_id": "29446813"}, {"ref": "bobfromjapan/mayo-train-images-size-384-n-64", "kernel_id": "29193649"}, {"ref": "bobfromjapan/mayo-train-tiled", "kernel_id": "29195263"}, {"ref": "bobfromjapan/mayo-filesize-inspection", "kernel_id": "29598982"}, {"ref": "francescocaso/master-md2sl-hands-on-lab", "kernel_id": "29620779"}, {"ref": "usamabalochhh/x-ray-bodypart-prediction-eda-cnn", "kernel_id": "29071517"}, {"ref": "abhilashojha/model-training", "kernel_id": "29765445"}, {"ref": "fujiyu/cnn-strip-ai-inference-ecc345", "kernel_id": "29832875"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "rishavnandi/mayo-clinic", "kernel_id": "29576224"}, {"ref": "joshuacburt/mayo-clinic-strip-1-8-background-color-channel", "kernel_id": "29283815"}, {"ref": "joshuacburt/mayo-clinic-strip-1-8-bg-image-split", "kernel_id": "29004442"}, {"ref": "sphadtare/resnet", "kernel_id": "29838870"}, {"ref": "lau01b/strip-ai-training", "kernel_id": "29144227"}, {"ref": "kodaihatayama/mayo02-submission", "kernel_id": "29487116"}, {"ref": "anniegeorge30/notebook939d02f024", "kernel_id": "29980514"}, {"ref": "hikarutabata/resize-to-512x512-jpg", "kernel_id": "29179031"}, {"ref": "hikarutabata/opencv-some-basic-processing", "kernel_id": "29211905"}, {"ref": "solapurruchitha/mayo-simple-cnn", "kernel_id": "29916304"}, {"ref": "fx6300/clam-strip-ai-inference", "kernel_id": "30660721"}, {"ref": "fx6300/clam-strip-ai-feature-extraction", "kernel_id": "30714063"}, {"ref": "fx6300/clam-strip-ai-train", "kernel_id": "30722906"}, {"ref": "fx6300/clam-strip-ai-image-generation", "kernel_id": "30713367"}, {"ref": "fx6300/clam-strip-ai-attention-heatmap", "kernel_id": "30767465"}, {"ref": "fx6300/strip-ai-set-laa-1-0", "kernel_id": "30273528"}, {"ref": "leweisele/mayo-clinic-strip-ai-patch-sampler", "kernel_id": "30677638"}, {"ref": "sikeda/mayo-submission-multi512", "kernel_id": "30859226"}, {"ref": "tmyok1984/mayo-tile-generation-using-pyvips", "kernel_id": "30107337"}, {"ref": "vijaybj/top-score-training-mayo-clinic", "kernel_id": "30231981"}, {"ref": "lhd0430/mayo-clinic-strip-ai-monai-starter-kit", "kernel_id": "30238412"}, {"ref": "ilyalos/2nd-place-solution-inference", "kernel_id": "30746997"}, {"ref": "ilyalos/2nd-place-solution-tiles-generation", "kernel_id": "30906500"}, {"ref": "ilyalos/2nd-place-solution-train", "kernel_id": "30919340"}, {"ref": "shivamanhar/display-image-and-resize", "kernel_id": "30022035"}, {"ref": "theoviel/inference-mayo", "kernel_id": "30711188"}, {"ref": "thaihocmap123/mayo-eda", "kernel_id": "30091642"}, {"ref": "deepanshu0009/pytorch-resnet-training", "kernel_id": "30697685"}, {"ref": "deepanshu0009/pyt-mayo-strip-ai-submission", "kernel_id": "30701668"}, {"ref": "gunesevitan/mayo-clinic-strip-ai-inference", "kernel_id": "30590309"}, {"ref": "marchworks/fork-of-working-mayo-submition", "kernel_id": "30287606"}, {"ref": "xiejialun/notebook47db8c2e63", "kernel_id": "30570205"}, {"ref": "saraswatitiwari/mayo-clinic", "kernel_id": "30725782"}, {"ref": "saraswatitiwari/mayo-clinic-strip-ai", "kernel_id": "30764962"}, {"ref": "saurabhsawhney/good-quality-tiles-that-respect-the-cpu-limits", "kernel_id": "30366789"}, {"ref": "saurabhsawhney/handling-large-images-tile-resize-and-stitch", "kernel_id": "30197282"}, {"ref": "saurabhsawhney/step-1-creating-tiles", "kernel_id": "30179470"}, {"ref": "limseonggeun/newbie-mayo-clinic-pb-0-6", "kernel_id": "30448401"}, {"ref": "shivanshj/image-classification-of-stroke-blood-clot-origin", "kernel_id": "30367888"}, {"ref": "aniruddhapa/classify-blood-clot-origin-in-ischemic-stroke", "kernel_id": "30447669"}, {"ref": "tr1gg3rtrash/mayo-clinic-tiled-inference", "kernel_id": "30872096"}, {"ref": "tr1gg3rtrash/mayo-clinic-best-preprocessing-notebook", "kernel_id": "30498660"}, {"ref": "sourabhy/mayo-clinic-strip-ai-dataset-preparation", "kernel_id": "30088914"}, {"ref": "datakite/mayo-clinic-classification", "kernel_id": "30732489"}, {"ref": "jam555/open-slide-mayo-eda-train-resnet", "kernel_id": "30291348"}, {"ref": "jam555/open-slide-mayo-eda-train-vgg", "kernel_id": "30461653"}, {"ref": "jam555/mayo-eda-train-efficientnet", "kernel_id": "30901237"}, {"ref": "v1olet1nor1/mayo-make-data", "kernel_id": "30182451"}, {"ref": "deusexspiravit/predicting-on-wsi-mayo-clinic", "kernel_id": "30444963"}, {"ref": "devesh1496/conv-classifier", "kernel_id": "30136292"}, {"ref": "raghava50/notebookeac6784007", "kernel_id": "30684767"}, {"ref": "matkobarbic/dataset-tiling", "kernel_id": "30371248"}, {"ref": "matkobarbic/mayo-effnet", "kernel_id": "30763570"}, {"ref": "ashmitsatpute/effnet-infer", "kernel_id": "30383642"}, {"ref": "icemantd/feature-cluster-tile-pseudo-label-training-mayo", "kernel_id": "30457547"}, {"ref": "icemantd/new-predict-mil-logit-features-mayo-strip-ai", "kernel_id": "30616206"}, {"ref": "hanyangw/mayo2", "kernel_id": "30453354"}, {"ref": "matsutake94/mayo-aspect-ratio-analysis", "kernel_id": "30181347"}, {"ref": "matsutake94/mayo-lowmemoryprocessing", "kernel_id": "30524432"}, {"ref": "jlcordoba/mayo-clinic-s-v-c", "kernel_id": "30021529"}, {"ref": "rajnishkumar546/clinic-strip", "kernel_id": "30055255"}, {"ref": "sai009/mayo-clinic-strip-ai", "kernel_id": "30285077"}, {"ref": "nabilajahan/cnn-starter", "kernel_id": "30305771"}, {"ref": "kareemusama/blood-origin-classification", "kernel_id": "30473953"}, {"ref": "abhishek123maurya/image-cropping-without-altering-pixel-values", "kernel_id": "30175989"}, {"ref": "raghavgarg12/data-pre-processing", "kernel_id": "30721825"}, {"ref": "youssefabdellatifx/mla-model", "kernel_id": "30099483"}, {"ref": "youssefabdellatifx/mla-seam-carving-version", "kernel_id": "30092996"}, {"ref": "bobfromjapan/mayo-infer-tiled-ctp-transformer", "kernel_id": "30489817"}, {"ref": "bobfromjapan/attention-mil", "kernel_id": "30673439"}, {"ref": "narpatchoudhary1/cnn-blood-clot-origin-classifier", "kernel_id": "30572826"}, {"ref": "dongjj/dataloader", "kernel_id": "30611906"}, {"ref": "aadilgarg/predict-ensemble-b0-b7", "kernel_id": "30827073"}, {"ref": "mertlostar/strip-ai-cluster-attention-inference", "kernel_id": "30654989"}, {"ref": "mertlostar/strip-ai-dataset-creator-script", "kernel_id": "30617938"}, {"ref": "mertlostar/strip-ai-cluster-attention-training", "kernel_id": "30416298"}, {"ref": "lau01b/mayo-dataset", "kernel_id": "30651595"}, {"ref": "lavanyaadapa501/mayo-clinic-strip-ai", "kernel_id": "30066248"}, {"ref": "ajayvarada/4995dfs", "kernel_id": "30442956"}, {"ref": "dharanikonda/mobile-netv2", "kernel_id": "30200333"}, {"ref": "zwzwsun/g-9-9-mayo-dataset512x512-wzy", "kernel_id": "30385674"}, {"ref": "s0mes0me/transmil-for-h5", "kernel_id": "30639797"}, {"ref": "wowzwzw/fork-of-infer-mayo-7d471e", "kernel_id": "30945708"}, {"ref": "wowzwzw/pytorch-mayo-clinic-baseline-resnet18", "kernel_id": "30090937"}, {"ref": "wowzwzw/g-7-7-mayo-dataset512x512-wzy", "kernel_id": "30365735"}, {"ref": "hateflow/strip-ai-submission-pipeline", "kernel_id": "30274326"}, {"ref": "yuahyodo/29th-place-solution", "kernel_id": "30981495"}, {"ref": "juankagl/proyecto-ds1", "kernel_id": "30401131"}, {"ref": "zihengliu99/eda-images-processing-and-exploration-b7aa96", "kernel_id": "31009865"}, {"ref": "sethuvamsib19cse081/mayo-clinic-btp", "kernel_id": "31761194"}, {"ref": "aswinge0119062/ca4-project", "kernel_id": "31207901"}, {"ref": "pierdut/eda-for-stripai", "kernel_id": "31629742"}, {"ref": "robertoformi/rf-mayostrip", "kernel_id": "31527244"}, {"ref": "thomaspdm/mayoclinic-pipeline", "kernel_id": "31084950"}, {"ref": "ahmedhossam666/ce-lla-classifier", "kernel_id": "32258291"}, {"ref": "wooseongyun/clam-version-1", "kernel_id": "32046378"}, {"ref": "lilysica/cnn-model-submission", "kernel_id": "32482501"}, {"ref": "haider12/strip-ai-submission", "kernel_id": "33391494"}, {"ref": "ahmedhossam666/stroke-classification-final-dl-project", "kernel_id": "33726580"}, {"ref": "lilysica/model-submission", "kernel_id": "33553077"}, {"ref": "pratyushraj07/finalnotebook", "kernel_id": "33925775"}, {"ref": "pratyushraj07/prj-pytorch", "kernel_id": "33861169"}, {"ref": "mattiasb/mybdsubmit", "kernel_id": "34586511"}, {"ref": "raghava50/model-building", "kernel_id": "34557817"}, {"ref": "raghavendra5/model-building-and-training", "kernel_id": "34606265"}, {"ref": "suryanani30/data-preparation", "kernel_id": "34602444"}, {"ref": "omarkhaled002/mayo-clinic-eda-2models", "kernel_id": "35139045"}, {"ref": "omarkhaled002/mayoclinic", "kernel_id": "35059567"}, {"ref": "nirmalvignu/stroke-classification", "kernel_id": "36874399"}, {"ref": "cse505/mayo-clinic-best-preprocessing-notebook", "kernel_id": "36142714"}, {"ref": "arespin/mayo-submission", "kernel_id": "37234538"}, {"ref": "mdhasan3/mayo-clinic-dataset-ready-for-classification", "kernel_id": "41193743"}, {"ref": "nischithadavala/notebook1dd09d2138", "kernel_id": "43518475"}, {"ref": "gunesevitan/libvips-pyvips-installation-and-getting-started", "kernel_id": "44599987"}, {"ref": "mpwolke/keras-backend-tiff-attempt", "kernel_id": "44824045"}, {"ref": "shilpeemaitra2348557/ml-projects-2348557", "kernel_id": "44168367"}, {"ref": "jirkaborovec/pyvips-load-thumbnail-crop-large-image", "kernel_id": "45011190"}, {"ref": "kingteiro/libvips-pyvips-installation-and-getting-started", "kernel_id": "45178066"}, {"ref": "michaelfumery/mayo-clinic-strip-ai-data-exploration", "kernel_id": "47284319"}, {"ref": "pranaylenkala/stroke-classification", "kernel_id": "47013937"}, {"ref": "ahmedhassan20/notebook4bdd2c3f0b", "kernel_id": "48941050"}, {"ref": "alynasr/notebookc9cddd7e03", "kernel_id": "48485160"}, {"ref": "sayedahmedmoawd/feature-extraction-for-rbcs", "kernel_id": "48455038"}, {"ref": "sayedahmedmoawd/notebookc9cddd7e03", "kernel_id": "48470180"}, {"ref": "sayedahmedmoawd/notebook356b01748b", "kernel_id": "48462816"}, {"ref": "sayedahmedmoawd/notebookb42a5dc04d", "kernel_id": "48405177"}, {"ref": "sayedahmedmoawd/feature-extraction-for-all-components", "kernel_id": "50983965"}, {"ref": "omar448/16tiles-pyradiomics", "kernel_id": "51482430"}, {"ref": "alynasr/notebook8148fda1c9", "kernel_id": "51486604"}, {"ref": "alynasr/mayo-tiles-16", "kernel_id": "51990570"}, {"ref": "alynasr/16tiles-pyradiomics", "kernel_id": "52429156"}, {"ref": "tnagavaishnavi/image-classification-of-stroke-blood-clot-origin", "kernel_id": "53713421"}, {"ref": "alynasr/submit-isa", "kernel_id": "53071108"}, {"ref": "loginemagdi/submit-isa-d80e27", "kernel_id": "54524006"}, {"ref": "sayedahmedmoawd/testing-tests-with-order", "kernel_id": "54834964"}, {"ref": "loginemagdi/graduation-project", "kernel_id": "55609388"}, {"ref": "arifabsar/feature-extraction-of-a-single-picture-using-vgg16", "kernel_id": "68480337"}, {"ref": "danielvaldez202021/notebookd4c30f04bd", "kernel_id": "68803417"}, {"ref": "adrianrflores/notebookd4c30f04bd", "kernel_id": "69204119"}, {"ref": "d3r3ktran/mayo-clinic-derek", "kernel_id": "69777479"}, {"ref": "mudasirwazir/notebook2c6f232fab", "kernel_id": "70636983"}, {"ref": "mudasirwazir/deep-learning-latest", "kernel_id": "70146893"}, {"ref": "jake006/notebook48b6e55e00", "kernel_id": "70089962"}, {"ref": "jake006/notebookae30106619", "kernel_id": "70845186"}, {"ref": "yzz6412902/notebookae30106619-6b1b68", "kernel_id": "71763357"}, {"ref": "marco39/4011-draft", "kernel_id": "71619204"}, {"ref": "jake006/notebook3bf4b95991", "kernel_id": "71851858"}, {"ref": "yzz6412902/notebook3bf4b95991-eba581", "kernel_id": "72146099"}, {"ref": "jake006/notebook0bad79f4a1", "kernel_id": "72095835"}, {"ref": "ryanrain/svm-models", "kernel_id": "86373392"}, {"ref": "ryanrain/mayo-clinic-strip-ai-testing", "kernel_id": "86321422"}, {"ref": "rohanvanj21/mayo-clinic-strip-ai-testing", "kernel_id": "86149397"}, {"ref": "haneulk/notebook6ef2c82e9c-23eb69", "kernel_id": "88472622"}, {"ref": "haneulk/notebook235e393f85", "kernel_id": "88632607"}, {"ref": "ryanrain/notebooka73e2b631b", "kernel_id": "88526641"}, {"ref": "ryanrain/resnet18", "kernel_id": "88596823"}, {"ref": "rohanvanj21/mayo-clinic-strip-ai-vision-tranformers-mil", "kernel_id": "88472069"}, {"ref": "mdabulbasarroky/mayo-clinic-strip-roky", "kernel_id": "116760532"}, {"ref": "jonathanzacarias/notebook092cedda4c", "kernel_id": "133047226"}, {"ref": "cisco890/notebook53c4e81daa", "kernel_id": "133398091"}]}
{"competition_id": "37337", "kernels": []}
{"competition_id": "37339", "kernels": []}
{"competition_id": "37344", "kernels": []}
{"competition_id": "37352", "kernels": []}
{"competition_id": "37354", "kernels": [{"ref": "tarekswaidane/covid-19-death-prediction-basic-eda", "kernel_id": "28964296"}, {"ref": "umuttoygargoz/covid-19-death-predictions-starter-notebook", "kernel_id": "28832437"}, {"ref": "parasrana/detailed-eda", "kernel_id": "29039878"}, {"ref": "thomasdubail/covid-prediction", "kernel_id": "29492744"}, {"ref": "kasumiokabe/220804-covid19-1", "kernel_id": "29323965"}, {"ref": "takoyakitaiyaki/covid19-1", "kernel_id": "29323956"}, {"ref": "takoyakitaiyaki/220804-covid19-2", "kernel_id": "29327945"}, {"ref": "elinayuldashbaeva/covid-19-death-prediction", "kernel_id": "29657761"}, {"ref": "gehallak/covid-19-xgb-starter", "kernel_id": "29134170"}, {"ref": "gehallak/covid-19-feature-importance", "kernel_id": "29121642"}, {"ref": "deepaksethi/covid-death-prediction", "kernel_id": "30416320"}, {"ref": "shalini27/covid-death-prediction", "kernel_id": "40932295"}]}
{"competition_id": "37358", "kernels": [{"ref": "litvinovivan/ml-trak-face-recognition", "kernel_id": "28189808"}]}
{"competition_id": "37359", "kernels": [{"ref": "korotkovilya/first-place-solution", "kernel_id": "28238051"}]}
{"competition_id": "37366", "kernels": []}
{"competition_id": "37375", "kernels": []}
{"competition_id": "37381", "kernels": [{"ref": "gazu468/classification-with-pytorch", "kernel_id": "27738837"}, {"ref": "danila/solutions-ai-village-ctf-defcon", "kernel_id": "29634545"}, {"ref": "vwoodnz/deepfake-do-a-flip", "kernel_id": "29612437"}, {"ref": "iraqai/d3fc0n30-ctf-writeup-with-logic-no-luck", "kernel_id": "29904371"}, {"ref": "mindtrinket/post-defcon-ctf-the-3-2-1-rule-doesn-t-apply", "kernel_id": "29746176"}, {"ref": "dhrumilp15/ai-village-ctf-submission", "kernel_id": "29589345"}, {"ref": "jonbown/ai-ctf-submissions", "kernel_id": "29643048"}, {"ref": "fournierp/ml-security-cft-96th-0-592", "kernel_id": "29620296"}, {"ref": "lucasjt/getting-started", "kernel_id": "29499883"}, {"ref": "mpwolke/dontshareflags-csi-wolke", "kernel_id": "29609426"}, {"ref": "zlobriy/dc30-ctf-sloth-ctf-with-dft", "kernel_id": "29900131"}, {"ref": "zlobriy/dc30-ctf-solve-crop1-with-pymoo", "kernel_id": "29950079"}, {"ref": "jbomitchell/maths-1-looper", "kernel_id": "29935230"}, {"ref": "jbomitchell/maths-4-looper", "kernel_id": "29928470"}, {"ref": "jbomitchell/bazball", "kernel_id": "29714841"}, {"ref": "jbomitchell/sausage-sandwich-game", "kernel_id": "29734477"}, {"ref": "jbomitchell/honor-est-a-henry", "kernel_id": "29797892"}, {"ref": "jbomitchell/killer-droids", "kernel_id": "29766129"}, {"ref": "jbomitchell/marx-class", "kernel_id": "29808920"}, {"ref": "ahmettalhayt/ctf-solutions", "kernel_id": "29731448"}, {"ref": "tatamikenn/defcon30-salt", "kernel_id": "29726217"}, {"ref": "johnmacgillivray/894-solutions", "kernel_id": "29798639"}, {"ref": "ivanrep/defcon-ai-village-ctf-lb-0-894", "kernel_id": "29562051"}, {"ref": "pietromaldini1/lb-0-842-ctf-defcon", "kernel_id": "29717023"}, {"ref": "alexjercan/dc30-ctf", "kernel_id": "29703994"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "knowledgesl/getting-started", "kernel_id": "29897032"}, {"ref": "chris62/my-solutions-to-all-but-crop2", "kernel_id": "30411411"}, {"ref": "titericz/crop-2-left", "kernel_id": "30099890"}, {"ref": "gladwell/one-crop2-solution", "kernel_id": "30373425"}, {"ref": "mpware/ctf-journey-19th-place", "kernel_id": "30302532"}, {"ref": "edumoran/ctf-writeup-my-learning-journey-lb-0-842", "kernel_id": "30003855"}, {"ref": "wfleshman3/solutions-defcon-ctf-3rd-place", "kernel_id": "30331941"}, {"ref": "ebouteillon/d3fc0n-solutions-lb-0-894", "kernel_id": "30315965"}, {"ref": "robga/henrys-homework-marked-0-984-by-teacher", "kernel_id": "30316671"}, {"ref": "cdeotte/solutions-d3fc0n-ctf-lb-0-894", "kernel_id": "30290006"}, {"ref": "fournierp/model-inversion-attack", "kernel_id": "30374604"}, {"ref": "yosshi999/defcon30-bruteforce-baseball-using-optuna", "kernel_id": "30320355"}, {"ref": "yosshi999/defcon30-waf-attempt-to-find-the-whole-payload", "kernel_id": "30326969"}, {"ref": "a24998667/murderbots-visualized-solution-with-tsne", "kernel_id": "30320971"}, {"ref": "joatom/defcon30-ctf-some-solutions-0-342", "kernel_id": "30315522"}, {"ref": "mpwolke/why-am-i-still-alive", "kernel_id": "30338513"}, {"ref": "th3niko/capture-the-flag-0-894-uncleaned", "kernel_id": "30056803"}, {"ref": "zlobriy/dc30-ctf-waf", "kernel_id": "30130197"}, {"ref": "zlobriy/dc30-ctf-inference", "kernel_id": "30108741"}, {"ref": "zlobriy/dc30-ctf-solve-hotterdog-like-theft", "kernel_id": "30079494"}, {"ref": "zlobriy/dc30-ctf-murderbots", "kernel_id": "30317651"}, {"ref": "vkonstantakos/miscellaneous-challenges-sloth-leakage-etc", "kernel_id": "30314839"}, {"ref": "vkonstantakos/hotdog-challenges-overlay-vs-gradient", "kernel_id": "30313429"}, {"ref": "vkonstantakos/math-challenges-dbscan-pca", "kernel_id": "30316885"}, {"ref": "vkonstantakos/murderbots-challenge-ensemble-of-classifiers", "kernel_id": "30316886"}, {"ref": "vkonstantakos/wi-fi-challenge-visualize-various-embeddings", "kernel_id": "30316887"}, {"ref": "vkonstantakos/inference-challenge-matching-emnist", "kernel_id": "30320883"}, {"ref": "jbomitchell/canis-felix", "kernel_id": "30265307"}, {"ref": "jbomitchell/maths-2-looper", "kernel_id": "30271355"}, {"ref": "jbomitchell/maths-3-looper", "kernel_id": "30271441"}, {"ref": "jbomitchell/token-350", "kernel_id": "30153078"}, {"ref": "jakewwill/capture-the-flag-5th-place-solution", "kernel_id": "30440165"}, {"ref": "tatamikenn/defcon30-observations-on-crop2", "kernel_id": "30318476"}, {"ref": "tatamikenn/defcon30-eda-on-clop2", "kernel_id": "30542346"}, {"ref": "pietromaldini1/hotdog-not-elegant", "kernel_id": "30272079"}, {"ref": "pietromaldini1/it-is-results-that-matter-or-is-it", "kernel_id": "30272453"}, {"ref": "pietromaldini1/math-challenges", "kernel_id": "30050058"}, {"ref": "pietromaldini1/baseball-iterative-solution", "kernel_id": "30316411"}, {"ref": "pietromaldini1/deepfake", "kernel_id": "30317274"}, {"ref": "pietromaldini1/murderbots-by-easy-eda", "kernel_id": "30317139"}, {"ref": "pietromaldini1/crop-1", "kernel_id": "30316919"}, {"ref": "pietromaldini1/leakage-and-forensics", "kernel_id": "30316717"}, {"ref": "pietromaldini1/waf-solve-by-mistake", "kernel_id": "30315743"}, {"ref": "pietromaldini1/this-is-an-art-attack", "kernel_id": "30315211"}, {"ref": "pietromaldini1/inference", "kernel_id": "30316086"}, {"ref": "amarneh/answer-to-some-of-the-questions-lb-0-894", "kernel_id": "30110309"}, {"ref": "vangap/wifi-with-simple-pca-how-i-arrived-at-it", "kernel_id": "30383483"}, {"ref": "vangap/murderbots-solution-with-simple-logisticregression", "kernel_id": "30370026"}, {"ref": "cf020031308/23-flags-w-o-the-big-4", "kernel_id": "44387037"}]}
{"competition_id": "37400", "kernels": []}
{"competition_id": "37402", "kernels": []}
{"competition_id": "37407", "kernels": [{"ref": "agileteam/4th-t2-r", "kernel_id": "32599633"}, {"ref": "agileteam/4th-t2-python", "kernel_id": "32483197"}, {"ref": "agileteam/4th-type1-python", "kernel_id": "32128948"}, {"ref": "jungheeback/4th-t2-python", "kernel_id": "32504832"}, {"ref": "jungheeback/4th-type1-python", "kernel_id": "32288954"}, {"ref": "nechoi/4th-t2-python", "kernel_id": "32728904"}, {"ref": "eggkimkr/4th-type1-python", "kernel_id": "32316565"}, {"ref": "dmis0126/4-1-20221115", "kernel_id": "32344934"}, {"ref": "dmis0126/4th-t2-python", "kernel_id": "32760140"}, {"ref": "dmis0126/4th-t2-python-20221201", "kernel_id": "32912500"}, {"ref": "megggy/notebook439eedc0ec", "kernel_id": "32944710"}, {"ref": "leemijeong22/4th-t2-python-lgb", "kernel_id": "32784497"}, {"ref": "dduniverse/4-2-python-rf-0-31574", "kernel_id": "32935669"}, {"ref": "dduniverse/4th-type1-python", "kernel_id": "32933810"}, {"ref": "joyfullsun/20221122-joyful", "kernel_id": "32550201"}, {"ref": "yimstar9/r-4th-type2-score-0-33182-3models-rf-xgb-nnet", "kernel_id": "32558999"}, {"ref": "yimstar9/4th-type1", "kernel_id": "32131166"}, {"ref": "kimseg/test-score-0-33222", "kernel_id": "32912804"}, {"ref": "pradeepsapparapu/big-data-analytics", "kernel_id": "37549224"}, {"ref": "jongukkim/4-kfold", "kernel_id": "39568795"}, {"ref": "minjunim/4-lgbm-0-313", "kernel_id": "39739450"}, {"ref": "leemoodong/4th-t2-python", "kernel_id": "39659937"}, {"ref": "leemoodong/4th-type1-python", "kernel_id": "39659110"}, {"ref": "koyorobo/645-kak-p-solved-1st", "kernel_id": "39592455"}, {"ref": "juneyoungchang/notebooka2df97d83b", "kernel_id": "39579133"}, {"ref": "joongram1/notebookcfd2f94452", "kernel_id": "40149637"}, {"ref": "minkyeongg/example4", "kernel_id": "40320477"}, {"ref": "onlykaggle/4th-t2-python", "kernel_id": "40104732"}, {"ref": "chooyeanchan/bigdata-study-tutorial-starter-231020", "kernel_id": "44870206"}, {"ref": "groobi/ju-lee-4-1-3-done", "kernel_id": "45707701"}, {"ref": "groobi/ju-lee-4-2-1-basic-done", "kernel_id": "45707878"}, {"ref": "seonghyeonhwang/4th-t2-python", "kernel_id": "46165472"}, {"ref": "seonghyeonhwang/4th-type1-python", "kernel_id": "46114668"}, {"ref": "dongimjung/dongim-3-1-1", "kernel_id": "46043466"}, {"ref": "leftoverzero/4th-t2-python", "kernel_id": "46926488"}, {"ref": "jhmooon/jihwan-4-1", "kernel_id": "46007494"}, {"ref": "onlykaggle/4th-type1-python", "kernel_id": "60114114"}, {"ref": "faeqsu10/4th-t2-python", "kernel_id": "60207096"}, {"ref": "mbko2000/4th-type1-python", "kernel_id": "70858793"}, {"ref": "chahyukjoo/2-4-baseline", "kernel_id": "71166549"}, {"ref": "fliplee/4th-t2-python-phillip", "kernel_id": "84182510"}]}
{"competition_id": "37411", "kernels": [{"ref": "stormcloser/simple-mlp-hyperspectral-image-classification-ii", "kernel_id": "28628713"}]}
{"competition_id": "37412", "kernels": [{"ref": "peaky12345/notebookabedb1c673", "kernel_id": "28240967"}]}
{"competition_id": "37432", "kernels": []}
{"competition_id": "37439", "kernels": [{"ref": "lllmmm45/simple-decision-tree", "kernel_id": "28187912"}, {"ref": "muki2003/linux-kernal-size-predication-deeplearning", "kernel_id": "28209781"}, {"ref": "akmalmir/catboostregressor-algorithm-for-linux-kernel-size", "kernel_id": "30348947"}]}
{"competition_id": "37448", "kernels": []}
{"competition_id": "37451", "kernels": [{"ref": "muniaraja/notebook8d3d00f04e", "kernel_id": "28702954"}]}
{"competition_id": "37453", "kernels": []}
{"competition_id": "37455", "kernels": []}
{"competition_id": "37456", "kernels": [{"ref": "kuntalmaity/price-prediction", "kernel_id": "28475024"}]}
{"competition_id": "37460", "kernels": []}
{"competition_id": "37462", "kernels": []}
{"competition_id": "37478", "kernels": [{"ref": "amit1235813/tutorial-beginners-xgboost-with-parameter-tuning", "kernel_id": "28705681"}, {"ref": "sharlottemanganye/spain-electricity-shortage-challenge-rf", "kernel_id": "36495084"}, {"ref": "pradeepsapparapu/electricity-shortfall-challenge", "kernel_id": "37211750"}, {"ref": "koketsoletsoalo/notebookcf3912e5d77", "kernel_id": "42434949"}]}
{"competition_id": "37487", "kernels": []}
{"competition_id": "37491", "kernels": []}
{"competition_id": "37515", "kernels": [{"ref": "letiennghia/trainer", "kernel_id": "28893141"}, {"ref": "dangnamanh/notebook021f2483c6", "kernel_id": "30456746"}]}
{"competition_id": "37548", "kernels": []}
{"competition_id": "37561", "kernels": [{"ref": "kartaviychert/critical-temperature-of-superconductors-prediction", "kernel_id": "44922784"}, {"ref": "cardata/semiconductors-critical-temperature-prediction", "kernel_id": "84407073"}, {"ref": "mihailodin1/xgb-optuna-tune-89", "kernel_id": "88067371"}, {"ref": "moonfaced/superconductor", "kernel_id": "92548670"}]}
{"competition_id": "37567", "kernels": [{"ref": "mahendrasinghrajpoot/sinch-intent-detection", "kernel_id": "30046516"}, {"ref": "kotrying/become-an-intern-at-sinch", "kernel_id": "34256136"}, {"ref": "mohamadjaallouk/voting-classifier-intent-detection", "kernel_id": "38198247"}]}
{"competition_id": "37571", "kernels": [{"ref": "jeanmidev/build-submission", "kernel_id": "28431890"}]}
{"competition_id": "37591", "kernels": []}
{"competition_id": "37603", "kernels": []}
{"competition_id": "37605", "kernels": []}
{"competition_id": "37606", "kernels": []}
{"competition_id": "37627", "kernels": [{"ref": "aliphya/patient-survival-prediction-eda-and-baseline", "kernel_id": "28607089"}, {"ref": "darklight1000/patient-survival", "kernel_id": "29873603"}, {"ref": "alexryzhkov/lightautoml-patient-survival", "kernel_id": "30734025"}, {"ref": "darklight1000/patient-survival-v3", "kernel_id": "30399322"}]}
{"competition_id": "37628", "kernels": []}
{"competition_id": "37636", "kernels": []}
{"competition_id": "37644", "kernels": [{"ref": "akashparmar2404/bank-customer-churn-analysis", "kernel_id": "28951146"}, {"ref": "ayusov/nyra-race-tracking-first-look", "kernel_id": "29926296"}, {"ref": "monogenea/big-data-derby-a-performance-proxy", "kernel_id": "29731711"}, {"ref": "mlconsult/determine-who-won-the-races-in-the-data", "kernel_id": "29797891"}, {"ref": "mlconsult/updated-get-finish-postion-by-horse-coordinates", "kernel_id": "29825368"}, {"ref": "mlconsult/implied-probability-to-win-using-odds", "kernel_id": "29817299"}, {"ref": "docxian/big-data-derby-2022-let-s-race", "kernel_id": "29528145"}, {"ref": "lichtlab/hierarchical-bayesian-estimation-horse-power", "kernel_id": "29958410"}, {"ref": "lichtlab/race-detailed-observation-with-animation", "kernel_id": "29776316"}, {"ref": "oscarm524/derby-2022-eda", "kernel_id": "29557708"}, {"ref": "kittlein/one-race-in-saratoga-with-additions", "kernel_id": "29831851"}, {"ref": "ozoozo/big-data-derby-2022-starter-eda", "kernel_id": "29866586"}, {"ref": "vithal2311/derby-eda", "kernel_id": "29705597"}, {"ref": "dtrade84/big-data-derby-analysis", "kernel_id": "29762802"}, {"ref": "fabreeze/derby-22-can-the-four-factors-defy-the-odds", "kernel_id": "29700433"}, {"ref": "mpwolke/safer-for-horses-but-never-safe", "kernel_id": "29881573"}, {"ref": "mpwolke/come-on-ai-move-your-bloomin-arse", "kernel_id": "29852868"}, {"ref": "mpwolke/ny-racing-association-anai-ml", "kernel_id": "29906112"}, {"ref": "saurav9786/detailed-eda-big-data-derpy-2022", "kernel_id": "29738457"}, {"ref": "alejopaullier/big-data-derby-2022-eda", "kernel_id": "29534121"}, {"ref": "alejopaullier/new-york-city-weather-2019", "kernel_id": "29665004"}, {"ref": "pollicio/1high-performance-horse", "kernel_id": "29886686"}, {"ref": "pollicio/high-performance-horse", "kernel_id": "29738917"}, {"ref": "iamleonie/big-data-derby-step-by-step-analysis", "kernel_id": "29541307"}, {"ref": "samyukthamobile/cat-boost-eda-submission", "kernel_id": "29820860"}, {"ref": "samyukthamobile/deep-learning-for-derby-big-data", "kernel_id": "29866585"}, {"ref": "neereshkumar/big-data-derby-2022-track-analysis", "kernel_id": "29685252"}, {"ref": "aasirwaseer/animated-scatter-plot-eda", "kernel_id": "29568259"}, {"ref": "genmatematika/big-data-derby", "kernel_id": "29997376"}, {"ref": "ebrahimgholami/derby-2022-greater-impact-on-winning-chances", "kernel_id": "29999570"}, {"ref": "kunalmakwana55/eda-derby", "kernel_id": "29932234"}, {"ref": "venkatkumar001/big-data-derby-explore-eda-approach-try-it", "kernel_id": "29990857"}, {"ref": "samarthsharma1408/big-data-derby-analysis-horse-with-high-odds", "kernel_id": "29936446"}, {"ref": "teratai/bigdataderby2022", "kernel_id": "29533740"}, {"ref": "heymihir/visualizing-derby-data-let-s-race", "kernel_id": "29572764"}, {"ref": "loycelorenzo/derby-place", "kernel_id": "29717880"}, {"ref": "komaldiwe/big-data-derby-analysis", "kernel_id": "29686160"}, {"ref": "danilsantiev/racing-animated-visualisation", "kernel_id": "29939057"}, {"ref": "himanshutripathi/big-data-pandas-eda", "kernel_id": "29677469"}, {"ref": "shapital/calculating-speed-turning-angle-and-position", "kernel_id": "29864333"}, {"ref": "foocheechuan/horse-racing-analysis", "kernel_id": "29522994"}, {"ref": "kalininvladislav/eda-anova-derby-2022", "kernel_id": "29523761"}, {"ref": "jorgellanosr/big-data-derby", "kernel_id": "29540405"}, {"ref": "hkhiroshima/find-a-horse-with-high-odds-but-likely-to-win", "kernel_id": "29723459"}, {"ref": "hkhiroshima/let-s-analyze-the-jockey-s-drafting-strategy", "kernel_id": "29921016"}, {"ref": "kaixiongf/derby-competition-2022-eda", "kernel_id": "29545897"}, {"ref": "azminetoushikwasi/xgboost-wrangling-with-hyperparameters-guide", "kernel_id": "29689856"}, {"ref": "themarkgreen/estimating-clustering-via-convex-hulls", "kernel_id": "29798808"}, {"ref": "pralabhpoudel/autoeda-using-pandasprofiling-big-data-derby", "kernel_id": "29725308"}, {"ref": "dpbarron/eda-for-big-data-derby", "kernel_id": "29749258"}, {"ref": "youssefelzahar/analysis-data", "kernel_id": "29767488"}, {"ref": "bhatnagardaksh/big-data-derby-clustering-pca-classification", "kernel_id": "29962453"}, {"ref": "satyaprakashshukl/simple-eda", "kernel_id": "29656495"}, {"ref": "edadi1l/eda-feature-correlations-effect", "kernel_id": "29553529"}, {"ref": "mohdmuttalib/big-data-derby", "kernel_id": "29542365"}, {"ref": "kushtrivedi14728/advance-eda-with-ml-big-data-derby", "kernel_id": "29532866"}, {"ref": "benjouzzz/bigdataderby-eda-data-augmentation", "kernel_id": "29960854"}, {"ref": "georgeserbanut/big-data-derby-2022-george-serbanut", "kernel_id": "29737414"}, {"ref": "pankajkumar2002/big-data-derby", "kernel_id": "29986811"}, {"ref": "yulimjin/big-data-derby-race-start-eda", "kernel_id": "29654245"}, {"ref": "roniheka/obtain-time-course-of-speed-during-a-race", "kernel_id": "29526492"}, {"ref": "nurielreuven/big-data-derby-2022-eda-clustering", "kernel_id": "29708068"}, {"ref": "devanshu12122/nyra-eda-analysis", "kernel_id": "29716065"}, {"ref": "zhouhua2022/kaggle-22-8-11-bdd", "kernel_id": "29759326"}, {"ref": "rahulsinghwaldia/big-data-derby-2022-prediction", "kernel_id": "29831548"}, {"ref": "rijudhara/big-data-derby-simple-analysis", "kernel_id": "29686840"}, {"ref": "mattop/big-data-derby-2022-eda", "kernel_id": "29520690"}, {"ref": "aryamansinghfauzdar/big-data-derby", "kernel_id": "29949135"}, {"ref": "anovayana/derby-2022-eda", "kernel_id": "29735140"}, {"ref": "markuszetes/big-data-derby-v-m", "kernel_id": "29983535"}, {"ref": "phngminhtai/eda-derby2022", "kernel_id": "29977955"}, {"ref": "dlogical/big-horse-racing-2022", "kernel_id": "29976205"}, {"ref": "ayusov/nyra-looking-for-race-fails", "kernel_id": "30131433"}, {"ref": "maheshak04/understanding-data-for-big-derby", "kernel_id": "30224032"}, {"ref": "mlconsult/identifying-jockeys-that-increase-a-horses-chances", "kernel_id": "30395350"}, {"ref": "mlconsult/fix-missing-data-column-names", "kernel_id": "30313394"}, {"ref": "ahmedomareissa/weekly-updated-eda-week6-speed-angle-radius", "kernel_id": "30065598"}, {"ref": "aditsss/import-data-and-fix-missing-column-names", "kernel_id": "30666484"}, {"ref": "serhanciftlikci/race-winner-prediction", "kernel_id": "30853446"}, {"ref": "jaewook704/drive-analysis-dirt-600-race", "kernel_id": "30851686"}, {"ref": "callmeb/starting-eda", "kernel_id": "30018519"}, {"ref": "sonmou/eda-of-derby-data", "kernel_id": "30544093"}, {"ref": "x2y2z2xyz3/big-derby-2022-a-powerful-guide-to-horse-betting", "kernel_id": "30892287"}, {"ref": "ozoozo/big-data-derby-distances-between-trakus-indices", "kernel_id": "30550293"}, {"ref": "stpeteishii/derby-2022-histplot", "kernel_id": "30113116"}, {"ref": "baljeet1995/big-data-derby-analysis-on-winning-horses", "kernel_id": "30528361"}, {"ref": "elakapoor/time-series-forecasting-using-moving-average-model", "kernel_id": "30205872"}, {"ref": "naiborhujosua/big-data-derby-reduce-memory-usage", "kernel_id": "30723957"}, {"ref": "iamleonie/monitoring-racing-strategies-for-injury-prevention", "kernel_id": "30027366"}, {"ref": "alexandredurand/lgbm-big-data-derby-2022", "kernel_id": "30199308"}, {"ref": "katevanpelt/which-race-strategies-improve-performance-outcomes", "kernel_id": "30720971"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "kiranupx/final-submission", "kernel_id": "30944362"}, {"ref": "tomsawczuk/visualising-a-race-with-xy-co-ordinates", "kernel_id": "30339096"}, {"ref": "ryosukeyakura/big-data-derby-eda", "kernel_id": "30434146"}, {"ref": "mahmoudabdullah/race-table-eda", "kernel_id": "30127145"}, {"ref": "shapital/calculating-when-horses-finish-the-race", "kernel_id": "30889231"}, {"ref": "xxxxyyyy80008/derby-2022-merge-and-convert-data-to-parquet-file", "kernel_id": "30012364"}, {"ref": "xxxxyyyy80008/derby-2022-eda", "kernel_id": "30391152"}, {"ref": "xxxxyyyy80008/derby-2022-eda-jockeys-journeys", "kernel_id": "30466567"}, {"ref": "xxxxyyyy80008/derby-2022-odds-of-winning", "kernel_id": "30492999"}, {"ref": "xxxxyyyy80008/predict-and-visualize-winning-with-lightgbm", "kernel_id": "30478824"}, {"ref": "xxxxyyyy80008/derby-2022-horse-analysis", "kernel_id": "30843002"}, {"ref": "xxxxyyyy80008/derby-2022-eda-jockeys-journeys-take2", "kernel_id": "30761445"}, {"ref": "xxxxyyyy80008/derby-2022-eda2", "kernel_id": "30753551"}, {"ref": "xxxxyyyy80008/derby-2022-eda-speed-analysis", "kernel_id": "30673497"}, {"ref": "dmitryuarov/ny-derby-expectations-and-reality", "kernel_id": "30532587"}, {"ref": "mohamedabdalmgyd/notebook3892d09ef3", "kernel_id": "30229576"}, {"ref": "zaki171/horse-racing-data-analysis", "kernel_id": "30428572"}, {"ref": "sofiabelanova/eda-nyra-2019", "kernel_id": "30268395"}, {"ref": "smithprksh07/big-data-derby-2022-eda", "kernel_id": "30042870"}, {"ref": "areeshaary/big-data-derby-challenge", "kernel_id": "30581569"}, {"ref": "hkhiroshima/eda-and-clustering-dbscan", "kernel_id": "30488458"}, {"ref": "azminetoushikwasi/time-series-analysis-forecasting", "kernel_id": "30103986"}, {"ref": "shige0406/osk-kaggle-big-data-derby-2022", "kernel_id": "30520134"}, {"ref": "imanhamza/big-data-derby-2022", "kernel_id": "30105355"}, {"ref": "yuvannabawa/big-data-derby-y", "kernel_id": "30955130"}, {"ref": "seraquevence/bigdataderby2022-racing-strategies", "kernel_id": "30450943"}, {"ref": "gauravsoni0612/notebook607623ff37", "kernel_id": "30490616"}, {"ref": "turebogale/ny-horse-race", "kernel_id": "30497781"}, {"ref": "mohammedbadway/data-derby-acc-100", "kernel_id": "30750584"}, {"ref": "meskinehocine/draft-effect", "kernel_id": "30576884"}, {"ref": "karamemad/race-table-eda", "kernel_id": "30506511"}, {"ref": "gabrielbeguerie/derby-2022-vincenty-formulae-distance", "kernel_id": "30822547"}, {"ref": "rahulverma1998/notebook80fcbb79b4", "kernel_id": "30764058"}, {"ref": "andrewebenbach/making-latitude-and-longitude-usable-for-distances", "kernel_id": "30269990"}, {"ref": "empirewind/analysis-dubby", "kernel_id": "30696582"}, {"ref": "vinayak65/derby-2022", "kernel_id": "30262583"}, {"ref": "jeonghocho06/big-data-derby-2022-velocity", "kernel_id": "30648886"}, {"ref": "fumitoyamaguchi/notebookdb741a3656", "kernel_id": "30509068"}, {"ref": "brendacmora/bgj-aprendizaje-maquina-big-data-derby-analysis", "kernel_id": "30717478"}, {"ref": "swhardy/aquaduct-finish-line", "kernel_id": "31201764"}, {"ref": "kingstats101/calculating-when-horses-finish-the-race-kk", "kernel_id": "31187085"}, {"ref": "kingstats101/track-bias", "kernel_id": "31393610"}, {"ref": "jpmiller/speed-up-for-working-with-data", "kernel_id": "31941349"}, {"ref": "jpmiller/vincenty-haversine-euclidean-they-can-all-work", "kernel_id": "31331111"}, {"ref": "jpmiller/horse-racing-welcome-to-the-machine", "kernel_id": "31201727"}, {"ref": "maheshak04/big-data-derby-2022-efficacy-of-new-features", "kernel_id": "31339921"}, {"ref": "mlconsult/pick-jockeys-that-increase-a-horses-chance-2-win", "kernel_id": "31428320"}, {"ref": "meganrms/derby-race", "kernel_id": "31133162"}, {"ref": "gristlegun/derby-2022-running-time-of-the-last-3-furlongs", "kernel_id": "31642529"}, {"ref": "shameinew/big-data-derby-v1", "kernel_id": "31277749"}, {"ref": "shitalkat/big-data-derby-2022-injury-data-tagging", "kernel_id": "31971600"}, {"ref": "titan91kr/big-data-derby-basic-eda", "kernel_id": "31131757"}, {"ref": "mojopriest/big-data-derby-is-not-decadent-and-depraved", "kernel_id": "31220113"}, {"ref": "bagtache/best-jockey-strategy-analysis-last-submission", "kernel_id": "31037401"}, {"ref": "mark18vi/analytics-derby-2019", "kernel_id": "31898493"}, {"ref": "mona20/notebookb1001ba645", "kernel_id": "31594324"}, {"ref": "saraswatitiwari/big-data-derby-2022", "kernel_id": "31696688"}, {"ref": "woosungyoon/derby-2022-visualization-racing", "kernel_id": "31663624"}, {"ref": "woosungyoon/rotate-track-coordinates-v0", "kernel_id": "31539515"}, {"ref": "woosungyoon/get-realtime-race-ranking", "kernel_id": "31585299"}, {"ref": "woosungyoon/calcualte-curvature-speed-acc-v0", "kernel_id": "31573204"}, {"ref": "woosungyoon/global-win-rate-table", "kernel_id": "31574837"}, {"ref": "woosungyoon/race-time-outlier-visualization-v0", "kernel_id": "31569562"}, {"ref": "woosungyoon/derby-2022-epsg-2260-projection", "kernel_id": "31631332"}, {"ref": "chazzer/bojahc-building-optimal-jockey-and-horse-combos", "kernel_id": "31072865"}, {"ref": "tomsawczuk/belmont-stakes-horse-9-war-of-will", "kernel_id": "31893665"}, {"ref": "tomsawczuk/belmont-stakes-horse-10-tacitus", "kernel_id": "31893707"}, {"ref": "tomsawczuk/belmont-stakes-horse-3-master-fencer", "kernel_id": "31893366"}, {"ref": "tomsawczuk/belmont-stakes-horse-4-tax", "kernel_id": "31893432"}, {"ref": "tomsawczuk/belmont-stakes-horse-5-bourbon-war", "kernel_id": "31893485"}, {"ref": "tomsawczuk/belmont-stakes-horse-6-spinoff", "kernel_id": "31893539"}, {"ref": "tomsawczuk/belmont-stakes-horse-1-joevia", "kernel_id": "31893235"}, {"ref": "tomsawczuk/belmont-stakes-horse-2-everfast", "kernel_id": "31893308"}, {"ref": "tomsawczuk/belmont-stakes-horse-7-sir-winston", "kernel_id": "31849652"}, {"ref": "tomsawczuk/data-preprocessing", "kernel_id": "31226139"}, {"ref": "tomsawczuk/a-deep-rl-model-to-identify-optimal-race-paths", "kernel_id": "31241133"}, {"ref": "aliosmankaya/analysis-of-horse-races-and-it-s-factors", "kernel_id": "31805809"}, {"ref": "barbosajaf/pattern-over-instant-speed", "kernel_id": "31968689"}, {"ref": "naghmehsh/analyzing-jockey-s-performance-in-each-race", "kernel_id": "31568713"}, {"ref": "yangq369/detailed-visualization-of-big-data-derby-2022", "kernel_id": "31616953"}, {"ref": "yangq369/big-data-derby-2022-eda", "kernel_id": "31640114"}, {"ref": "jjudyy/horsey", "kernel_id": "31583921"}, {"ref": "akshayr009/data-derby-2022", "kernel_id": "31622390"}, {"ref": "xxxxyyyy80008/derby-2022", "kernel_id": "31567634"}, {"ref": "xxxxyyyy80008/exploring-the-jockeys-with-network-analysis", "kernel_id": "31860364"}, {"ref": "chaitanyaugale/big-data-derby", "kernel_id": "31093230"}, {"ref": "bayesianterrapin/predicting-loan-defaults", "kernel_id": "31909816"}, {"ref": "ntropy/derby-simple-pdes", "kernel_id": "31304138"}, {"ref": "kaansnmez/advanced-eda-jockey-furlong-rank-big-data-derby", "kernel_id": "31592214"}, {"ref": "turebogale/horse-race-9-t", "kernel_id": "31566142"}, {"ref": "turebogale/horse-race-10-i", "kernel_id": "31571224"}, {"ref": "turebogale/horse-race-6-m", "kernel_id": "31507608"}, {"ref": "turebogale/horse-race-8-d", "kernel_id": "31542388"}, {"ref": "turebogale/horse-race-7-d-2", "kernel_id": "31540377"}, {"ref": "turebogale/horse-race-11-m", "kernel_id": "31589647"}, {"ref": "turebogale/ny-horse-race-2", "kernel_id": "31103634"}, {"ref": "turebogale/nytha-nyra-big-data-derby-2022", "kernel_id": "31341278"}, {"ref": "turebogale/horse-race-3b", "kernel_id": "31350421"}, {"ref": "turebogale/horse-race-5", "kernel_id": "31475327"}, {"ref": "turebogale/horse-race-4", "kernel_id": "31438188"}, {"ref": "turebogale/pvt-rearange", "kernel_id": "31926351"}, {"ref": "turebogale/path-eff-and-finish-position", "kernel_id": "31997624"}, {"ref": "hyeontaelee/2022-derby-eda-last", "kernel_id": "31690538"}, {"ref": "gabrielbeguerie/data-derby-2022-horses-positions-analysis", "kernel_id": "31414630"}, {"ref": "lukmanz/big-data-analyst-jockey-and-path-horse", "kernel_id": "31209401"}, {"ref": "harukadoyu/the-effect-of-the-distance-traveled", "kernel_id": "31523531"}, {"ref": "anochietobechukwu/big-derby-data", "kernel_id": "31127107"}, {"ref": "yohanesteshome/big-derby", "kernel_id": "31526294"}, {"ref": "asksawant/bdd-horse-id-check", "kernel_id": "31323764"}, {"ref": "tlyleung/advanced-horse-race-tactics-using-coordinate-data", "kernel_id": "31841570"}, {"ref": "pranayreddynallanpr/derby-analytics-2022", "kernel_id": "31951380"}, {"ref": "yshangareev/big-data-derby-2022", "kernel_id": "31708892"}, {"ref": "kanurag079/big-data-derby-2022-notebook-submitted", "kernel_id": "31690063"}, {"ref": "sarafuddin/notebook79b4f8b167", "kernel_id": "31931104"}, {"ref": "davidkazakov/david-anna", "kernel_id": "31434123"}, {"ref": "aleeceandrews/importance-of-positioning-in-msw-races", "kernel_id": "31875858"}, {"ref": "swhardy/speed-and-drafting-aqueduct-proof-of-concept", "kernel_id": "32034117"}, {"ref": "alicew1800/predict-winning", "kernel_id": "32193234"}, {"ref": "artvolgin/winning-strategies-what-works-better", "kernel_id": "32039523"}, {"ref": "edimer/dataprocessing-nyra", "kernel_id": "32188093"}, {"ref": "edimer/horseanalysis", "kernel_id": "32209944"}, {"ref": "abhinavkum/big-data-derby-2022-part-1", "kernel_id": "32124344"}, {"ref": "bkeenan1/final-derby-submission", "kernel_id": "32176640"}, {"ref": "tanmay111999/big-data-derby-2022-eda-insights", "kernel_id": "32206073"}, {"ref": "ec0n0m15t/lessonsfromturfbetting", "kernel_id": "32209226"}, {"ref": "bkumagai/bayesian-velocity-models-for-horse-race-simulation", "kernel_id": "32214660"}, {"ref": "bkumagai/fork-of-bayesian-velocity-models-for-horse-race-si", "kernel_id": "32340374"}, {"ref": "rungrawinwarunanont/final-submission", "kernel_id": "32124547"}, {"ref": "rungrawinwarunanont/data-preprocessing", "kernel_id": "32155535"}, {"ref": "ridwanultanvir/derby-2022-eda-prediction", "kernel_id": "32118331"}, {"ref": "hanhe2018/report-20221108", "kernel_id": "32102680"}, {"ref": "louisbunuel/derby-15-4", "kernel_id": "32139143"}, {"ref": "louisbunuel/speed-vs-distance-not-aerodynamic-drag", "kernel_id": "32192956"}, {"ref": "mauromauro/horace-horse-racing-conditional-estimator", "kernel_id": "32214350"}, {"ref": "methoomirza/bigdata-derby-2022-eda-visualization", "kernel_id": "32158082"}, {"ref": "sadiyahsalim/data-derby-2022-kaggle-competition-4", "kernel_id": "32149991"}, {"ref": "jandrz/map-to-make-decisions-in-horse-racing", "kernel_id": "32204552"}, {"ref": "moazamsoomro/moazam-s-implementation", "kernel_id": "32149658"}, {"ref": "ryanlucaskaggle/notebooke2845c7fc9", "kernel_id": "32215369"}, {"ref": "turebogale/jockey-eff-vs-finish-position", "kernel_id": "32206930"}, {"ref": "turebogale/notebooks-and-datasets", "kernel_id": "32208593"}, {"ref": "turebogale/horse-eff-vs-finish-finish", "kernel_id": "32207656"}, {"ref": "turebogale/drafting-vs-finish-positions", "kernel_id": "32201586"}, {"ref": "turebogale/horse-efficiency", "kernel_id": "32150974"}, {"ref": "turebogale/path-eff-vs-finish-position", "kernel_id": "32023950"}, {"ref": "turebogale/draft-measure", "kernel_id": "32056813"}, {"ref": "kushtrivedi14728/fork-of-key-to-win-the-bet-on-horses", "kernel_id": "32203542"}, {"ref": "kushtrivedi14728/key-to-win-the-bet-on-horses-with-math-model", "kernel_id": "32203247"}, {"ref": "laurahoang/big-data-derby-2022-winning-strategies", "kernel_id": "32205149"}, {"ref": "profgroh/a-novel-metric-to-rank-jockeys-including-drafting", "kernel_id": "32214684"}, {"ref": "maciejors/big-data-derby-2022", "kernel_id": "32201971"}, {"ref": "adminpretaktovaniesk/big-data-derby-2022-statistical-model", "kernel_id": "32080875"}, {"ref": "ryanglaspey/trajectory-prediction-attempt-using-transformer", "kernel_id": "32019461"}, {"ref": "nostestwu/jockey-performance-in-different-tracks", "kernel_id": "32156021"}, {"ref": "pelummi/big-data-derby-analysis", "kernel_id": "32207256"}, {"ref": "akutchak/big-data-derby-2022", "kernel_id": "32112468"}, {"ref": "leowhynot/ml-for-big-derby", "kernel_id": "32170479"}, {"ref": "samitahlawat/derby", "kernel_id": "32214922"}, {"ref": "yuxingzhao/report-of-big-data-derby-2022-new", "kernel_id": "32207320"}, {"ref": "markuszetes/bigdataderby2022-betting-advisor", "kernel_id": "32204607"}, {"ref": "tonimorales/analysis-and-next-position-prediction", "kernel_id": "32207593"}, {"ref": "asksawant/jockey-elo-rating", "kernel_id": "32078178"}, {"ref": "mr0106/big-data-derby", "kernel_id": "32336503"}, {"ref": "sashademenev1/first-try", "kernel_id": "32137486"}, {"ref": "lucaspreelcraftai/final-position-prediction-with-confidence-interval", "kernel_id": "32199339"}, {"ref": "anastaciafedorova/big-data-derby-2022-eda", "kernel_id": "32319452"}, {"ref": "kacperskonieczka/bigdataderby", "kernel_id": "32175987"}, {"ref": "chriscarroll155/compare-performance-measures-for-breeding-program", "kernel_id": "32043340"}, {"ref": "annedesmedt/prevent-injuries-in-aqueduct-sprint", "kernel_id": "32214597"}, {"ref": "heinzsch/ds-derby-2022-step-01", "kernel_id": "33184867"}, {"ref": "bahijababzine/ds-derby-2022-step-01", "kernel_id": "35147614"}, {"ref": "napsnu/big-data-derby-2022", "kernel_id": "38778891"}, {"ref": "louisbunuel/paper-derby-2022-env", "kernel_id": "39787373"}, {"ref": "louisbunuel/paper-horse-races", "kernel_id": "39638347"}, {"ref": "aaditshukla/data-insight-derby-2022-eda-insights", "kernel_id": "40985366"}, {"ref": "louisbunuel/fork-of-paper-derby-2022-env", "kernel_id": "42471115"}]}
{"competition_id": "37652", "kernels": []}
{"competition_id": "37658", "kernels": []}
{"competition_id": "37661", "kernels": [{"ref": "choiyoungmin/finance-ai-education-hackathon-create-feature", "kernel_id": "28557200"}, {"ref": "choiyoungmin/finance-ai-education-hackathon-simple-dense", "kernel_id": "28563283"}, {"ref": "choiyoungmin/finance-ai-education-hackathon-simple-lgbm", "kernel_id": "28561627"}]}
{"competition_id": "37675", "kernels": []}
{"competition_id": "37676", "kernels": [{"ref": "ndohmoise/predict-survival-on-the-titanic-with-ml", "kernel_id": "28624271"}]}
{"competition_id": "37686", "kernels": [{"ref": "ramjasmaurya/oil-field-exploration-with-94-accuracy", "kernel_id": "29101380"}, {"ref": "rajeshsingh3474/oil-gas-field-prediction", "kernel_id": "29684373"}, {"ref": "alexeyk12/baseline-catboost", "kernel_id": "45736600"}, {"ref": "moonfaced/oil-and-gas", "kernel_id": "77375216"}, {"ref": "nkirujan/notebook1284409ea4", "kernel_id": "77677046"}, {"ref": "arpit786/oil-samsung-comp", "kernel_id": "88213655"}, {"ref": "wangyiz/oil-gas-field-prediction-baseline", "kernel_id": "105801218"}]}
{"competition_id": "37704", "kernels": [{"ref": "aniketkhan/task-2", "kernel_id": "28692133"}]}
{"competition_id": "37722", "kernels": [{"ref": "danofer/auction-bid-price-prediction-export", "kernel_id": "29457161"}, {"ref": "danofer/auction-bid-price-adversarial-validation", "kernel_id": "29477698"}, {"ref": "narsil/average-baseline", "kernel_id": "29244732"}, {"ref": "itkin16/catboost-on-gpu-examine-val-set", "kernel_id": "29680292"}, {"ref": "itkin16/catboost-on-gpu-baseline", "kernel_id": "29325306"}, {"ref": "allvor/one-cell-baseline-submit-bidfloor-lb-39-37", "kernel_id": "29486355"}, {"ref": "allvor/one-cell-baseline-submit-sentprice-lb-36-48", "kernel_id": "29501763"}, {"ref": "lucasmorin/eda-item-price", "kernel_id": "29572424"}, {"ref": "seraquevence/digturbine-lightgbmodel-v01", "kernel_id": "29607166"}, {"ref": "seraquevence/digturbine-sklearn-v01", "kernel_id": "29769081"}, {"ref": "bitguber/training-notebook-for-digital-auction", "kernel_id": "29579809"}, {"ref": "bitguber/predict-notebook-for-digital-auction", "kernel_id": "29757550"}, {"ref": "allvor/new-baseline-average-by-device-lb-25-55", "kernel_id": "30181254"}, {"ref": "allvor/public-19-1-private-20-6-without-ml", "kernel_id": "30901554"}, {"ref": "allvor/2nd-place-solution", "kernel_id": "30896264"}, {"ref": "michau96/bid-price-predicition-4th-place-submission", "kernel_id": "30077693"}, {"ref": "pearsejim01/target-encoding", "kernel_id": "30036653"}, {"ref": "pearsejim01/digital-turbine-5th-privatelb-8th-publiclb", "kernel_id": "30936944"}, {"ref": "kentak0928/difference-between-train-data-and-test-data", "kernel_id": "30861078"}, {"ref": "bitguber/preprocessing-notebook-for-digital-turbine", "kernel_id": "30087197"}, {"ref": "wrrosa/dtabp-1st-place-solution", "kernel_id": "31048240"}, {"ref": "wrrosa/dtabp-top-solutions-blend", "kernel_id": "31069607"}, {"ref": "yaelkiselman/bid-price", "kernel_id": "31935581"}, {"ref": "cemakgl/notebook9e9b1f93bf", "kernel_id": "32167256"}, {"ref": "piotrekga/solution", "kernel_id": "39742533"}, {"ref": "clownsuffocator/digital-turbine-test", "kernel_id": "40086728"}, {"ref": "herobartosz/dt-submission-hero", "kernel_id": "40320085"}, {"ref": "oleksandrarsentiev/win-bid-prediction", "kernel_id": "41604527"}, {"ref": "marciniega/notebook3503a481d1", "kernel_id": "41474647"}]}
{"competition_id": "37727", "kernels": [{"ref": "kartaviychert/hotel-booking-demand-binary-classification", "kernel_id": "45248120"}, {"ref": "ditipriyadutta/hyperparameter-tuning-grid-search-cv", "kernel_id": "66593330"}, {"ref": "timmmofeydeykun/hotel-booking-demand-prediction", "kernel_id": "68598810"}, {"ref": "minglv/hotel-booking-xg-lgbm-stack", "kernel_id": "88134127"}, {"ref": "mihailodin1/fe-engineering-soft-ensembling-99", "kernel_id": "89425911"}, {"ref": "aasirwaseer/hotel-cancellation-the-data-leak-solution-0-999", "kernel_id": "91796617"}]}
{"competition_id": "37732", "kernels": [{"ref": "erolmasimov/cluster-analysis", "kernel_id": "30095327"}, {"ref": "denisgubankov/physical-activity-clustering-yet-another-solution", "kernel_id": "31058276"}, {"ref": "ougichan/samsunginnovationcampusbootcamp-clustering", "kernel_id": "33378666"}, {"ref": "csmohamedayman/ml-clust-physical-activity-clustering", "kernel_id": "59296853"}, {"ref": "moonfaced/physical-activity-clustering-samsung", "kernel_id": "75507209"}, {"ref": "csmohamedayman/eda-clust-physical-activity-clustering", "kernel_id": "77041848"}, {"ref": "sayedsalem/clustering-using-kmean", "kernel_id": "82684390"}, {"ref": "naruto2009/hw8-misiscourse", "kernel_id": "110729691"}, {"ref": "rbi1337/notebook0618363245", "kernel_id": "112319708"}]}
{"competition_id": "37733", "kernels": []}
{"competition_id": "37745", "kernels": []}
{"competition_id": "37746", "kernels": []}
{"competition_id": "37748", "kernels": []}
{"competition_id": "37770", "kernels": [{"ref": "vladislavkukov/u-net-denoising", "kernel_id": "96364600"}]}
{"competition_id": "37783", "kernels": []}
{"competition_id": "37794", "kernels": [{"ref": "sohier/basic-api-demo", "kernel_id": "34303977"}, {"ref": "hyunyoung/eda-amp-parkinson-s-disease-progression", "kernel_id": "35924923"}, {"ref": "jiweiliu/visualize-updrs-over-time-of-all-patients", "kernel_id": "35504896"}, {"ref": "leweisele/basic-api-usage-random-forest", "kernel_id": "35508443"}, {"ref": "sijovm/score-89-how-to-make-submissions", "kernel_id": "35204231"}, {"ref": "sijovm/xgb-baseline-with-added-features", "kernel_id": "35239609"}, {"ref": "sijovm/useful-function-for-making-predictions", "kernel_id": "35240064"}, {"ref": "sijovm/lightgbm-starter-with-added-features", "kernel_id": "35240317"}, {"ref": "sijovm/random-forest-starter-with-tsfresh-features", "kernel_id": "35241490"}, {"ref": "renataghisloti/transform-the-train-proteins-csv-into-row-wise", "kernel_id": "35519014"}, {"ref": "renataghisloti/linearregression-simple-57-3-smape", "kernel_id": "35548840"}, {"ref": "renataghisloti/understanding-updrs-and-smape", "kernel_id": "35681267"}, {"ref": "renataghisloti/classifier-for-upd23b-clinical-state-on-medication", "kernel_id": "35660495"}, {"ref": "renataghisloti/clustering-of-pep-proteins-and-xgboost-forecast", "kernel_id": "35620323"}, {"ref": "renataghisloti/updrs-forecast-with-tensorflow-and-deep-learning", "kernel_id": "35825306"}, {"ref": "alexfir/multiple-patients-have-the-same-history-of-updrs-3", "kernel_id": "35219840"}, {"ref": "ablambe/amp-parkinsons-competition-submission-notebook", "kernel_id": "35751385"}, {"ref": "mcliff/amp-pd-exploratory-data-analysis", "kernel_id": "35918224"}, {"ref": "ahsanhabib98/parkinson-s-disease-progression", "kernel_id": "35513031"}, {"ref": "ahsanhabib98/parkinson-s-progression-prediction", "kernel_id": "35510978"}, {"ref": "femate2357/get-protein-sequences", "kernel_id": "35573734"}, {"ref": "kimtaehun/simple-preprocessing-for-time-series-prediction", "kernel_id": "35153230"}, {"ref": "craigmthomas/amp-eda-models", "kernel_id": "35655366"}, {"ref": "vinitkp/eda-r-logisticregression", "kernel_id": "35930763"}, {"ref": "dellalkhaled/real-wealth", "kernel_id": "35364355"}, {"ref": "vmmkumbhari/data-understanding-amp-parkinson-s-disease-progr", "kernel_id": "35930706"}, {"ref": "megham123/ml-model", "kernel_id": "35611035"}, {"ref": "aimalrehman92/eda-parkinsons-firstlook", "kernel_id": "35295402"}, {"ref": "hiramcho/gridsearchcv-randomforest-optuna-xgboost", "kernel_id": "35711199"}, {"ref": "bacicnikola/create-the-future-visits-targets", "kernel_id": "35823164"}, {"ref": "danielpeshkov/manual-estimate-baseline", "kernel_id": "35185043"}, {"ref": "pttljessy/eda-parkinson-s-disease-removing-outliers", "kernel_id": "35637480"}, {"ref": "mpwolke/amp-parkinson-disease", "kernel_id": "35201463"}, {"ref": "takanashihumbert/months-average-rating-method", "kernel_id": "35156470"}, {"ref": "chrisrichardmiles/amppd-median-v3", "kernel_id": "35206680"}, {"ref": "chrisrichardmiles/amppd-median", "kernel_id": "35153808"}, {"ref": "alejopaullier/amp-train-inference", "kernel_id": "35150074"}, {"ref": "gamerlacika/parkinsor-disease-development", "kernel_id": "35675041"}, {"ref": "prachi13/amp-parkinson-disease", "kernel_id": "35259717"}, {"ref": "dinowun/eda-simplified-amp-pd-progression-prediction", "kernel_id": "35150888"}, {"ref": "saraswatitiwari/parkinson-s-disease-progression-prediction", "kernel_id": "35367425"}, {"ref": "younesselbrag/amp-park-neural-network-datapipline-pytorch", "kernel_id": "35350270"}, {"ref": "younesselbrag/matrix-factorization-pytorch-amp", "kernel_id": "35274875"}, {"ref": "younesselbrag/amp-park-gradientboostregression-datapipline", "kernel_id": "35268141"}, {"ref": "benjenkins96/support-vector-regression-smape-57-8", "kernel_id": "35897009"}, {"ref": "benjenkins96/parkinson-s-progression-comprehensive-analysis", "kernel_id": "35378659"}, {"ref": "benjenkins96/parkinson-s-disease-eda", "kernel_id": "35310299"}, {"ref": "benjenkins96/eda-statistical-analysis-optuna-68-7-smape", "kernel_id": "35148244"}, {"ref": "yeonseokcho/parkinsons-disease-progression", "kernel_id": "35554068"}, {"ref": "nicolechong/data-exploration-visualization", "kernel_id": "35185365"}, {"ref": "ebrahimgholami/amp-parkinson-s-disease-progression-prediction", "kernel_id": "35301424"}, {"ref": "filipelipster/new-approach-using-proteins", "kernel_id": "35379111"}, {"ref": "nikitadubey/parkinsons-disease-progression", "kernel_id": "35490402"}, {"ref": "demche/amp-parkinson-s-disease-eda", "kernel_id": "35910148"}, {"ref": "yoshikuwano/eda-prediction-with-month-offset", "kernel_id": "35757305"}, {"ref": "ravindrasonawane/parkinsons-disease-eda-prelim-model-84-smape", "kernel_id": "35487770"}, {"ref": "julianmacnamara/parkinson-s-disease-v0-2", "kernel_id": "35801860"}, {"ref": "bibanh/update-57-4-train-inference-randomforest", "kernel_id": "35170515"}, {"ref": "bibanh/lb-57-2-ensemble-randomforest-svr-linear", "kernel_id": "35700747"}, {"ref": "acousticmusic/2023-easy-understand-parkinson-train-inference", "kernel_id": "35358827"}, {"ref": "acousticmusic/score-73-eda-xgboost-train-infer", "kernel_id": "35394598"}, {"ref": "lordxerxes/baseline-model", "kernel_id": "35847412"}, {"ref": "masahikofujita/eda-tf-model-median-baseline-moderate-75", "kernel_id": "35916534"}, {"ref": "krishnapabbu/parkinson-s-disease-comprehensive-eda", "kernel_id": "35983233"}, {"ref": "collinsakal/parkinson-s-eda", "kernel_id": "35700530"}, {"ref": "xarispanagiotopoulos/linearregression-xgb", "kernel_id": "35939341"}, {"ref": "linzyzhao/amp-parkinson-s-disease", "kernel_id": "35303723"}, {"ref": "soumikdasgupta/severity-is-related-to-no-of-proteins-in-csf", "kernel_id": "35345735"}, {"ref": "manuelponzi/amp-pd-eda", "kernel_id": "35195734"}, {"ref": "eslamfouad/apd-prediction-using-timeseries", "kernel_id": "35594677"}, {"ref": "josuah/datasets-to-predict-6-12-24-months-updrs-scores", "kernel_id": "35540570"}, {"ref": "satyaprakashshukl/eda-parkinsons-disease", "kernel_id": "35155506"}, {"ref": "meeratif/comprehensive-data-exploration-on-amp-parkinson", "kernel_id": "35509449"}, {"ref": "imvision12/parkinson-s-disease-eda", "kernel_id": "35147161"}, {"ref": "smnuruzzaman/amp-parkinson-s-xgb-lasso-svm-rfc", "kernel_id": "35910536"}, {"ref": "nicolasbridelance/amp-eda-clustering-by-timeserieskmeans", "kernel_id": "35879514"}, {"ref": "serkanp/amp-parkinson-s-disease-progression-prediction", "kernel_id": "35269702"}, {"ref": "sanandachowdhury/eda-tf-model-median-baseline-moderate-75", "kernel_id": "35908930"}, {"ref": "abhishek123maurya/1-understanding-the-data", "kernel_id": "35262510"}, {"ref": "voideans/amp-parkinsons-analytics", "kernel_id": "35492846"}, {"ref": "ponderpiece/trying-different-regressor-models", "kernel_id": "35254266"}, {"ref": "seanmulholland/protein-data-tf-model-70-8-lb", "kernel_id": "35479696"}, {"ref": "m1gusta/notebook677081ca28", "kernel_id": "35940321"}, {"ref": "danfu42/phate-t-sne-pca-for-pd-progression-clustering", "kernel_id": "35513448"}, {"ref": "yeemeitsang/parkinsons-progression-xgboost", "kernel_id": "35219262"}, {"ref": "jcblink/amp-eda-models", "kernel_id": "35998595"}, {"ref": "gennadyvilleneuve/train-clinical-data-preprocessing-note", "kernel_id": "35323772"}, {"ref": "tomdanielgrande/amp-parkinsons-nn-xgboost-mrmr-reduction", "kernel_id": "35461069"}, {"ref": "ailafelixa/descriptive-and-exploratory-data-analysis", "kernel_id": "35463388"}, {"ref": "natashanoskova/pd-progression-eda-patient-scores-heatmaps", "kernel_id": "35899089"}, {"ref": "nikolagavranovic/eda-parkinsons-disease-progression", "kernel_id": "35534420"}, {"ref": "pearlescence/data-preprocessing-eda-first-steps", "kernel_id": "35151232"}, {"ref": "haydenismith/parkinson-s-eda", "kernel_id": "35662722"}, {"ref": "bhanupratapbiswas/parkinson-s-disease-patients-to-predict-progressio", "kernel_id": "35633011"}, {"ref": "kimorwu/quickstart-pdprediction", "kernel_id": "35297275"}, {"ref": "wangxiaofeng0419/notebook4adcfe6b80", "kernel_id": "35386713"}, {"ref": "albertoannoni/not-every-peptide-is-present-in-every-visit", "kernel_id": "35337240"}, {"ref": "albertoannoni/inconsistencies-between-features-and-target-tables", "kernel_id": "35326824"}, {"ref": "slumericanbx/exercise-joins-and-unions", "kernel_id": "35761138"}, {"ref": "tiawang0308/basic-api-demo", "kernel_id": "35927655"}, {"ref": "vitalykudelya/only-constants", "kernel_id": "36484119"}, {"ref": "vitalykudelya/explain-dataset-test-api-cross-validation-tips", "kernel_id": "36338963"}, {"ref": "michal71/sequential-rnn", "kernel_id": "36135492"}, {"ref": "gabbermaniac/parkinson-s-disease-pca", "kernel_id": "36670535"}, {"ref": "hwang1221/wang-mar24", "kernel_id": "36345467"}, {"ref": "hwang1221/wang-smapelinearregression-may6th", "kernel_id": "36334325"}, {"ref": "renataghisloti/simple-linearregression-updated-56-6-smape", "kernel_id": "36852526"}, {"ref": "shimman/baseline-model-using-lgbm-regression", "kernel_id": "36182609"}, {"ref": "shimman/simple-linear-model-with-only-clinical-data", "kernel_id": "36643420"}, {"ref": "pcjimmmy/what-patients-are-control", "kernel_id": "36898696"}, {"ref": "abinsingh/top-8-peptide-levels-affecting-updrs-1-score", "kernel_id": "36172384"}, {"ref": "suneetsaini/amp-pdpp-random-forest-lasso-lgbm-others", "kernel_id": "36763618"}, {"ref": "sachinksalim/parkinsons-api-demo", "kernel_id": "36161586"}, {"ref": "shobhitupadhyaya/amp-how-to-make-proper-submission", "kernel_id": "36294489"}, {"ref": "vinitkp/r-eda-gam", "kernel_id": "36951339"}, {"ref": "kpkent/linear-model-of-proteins-only-parkinsons", "kernel_id": "36154758"}, {"ref": "ved1104/peptide-disease-progression-and-detection", "kernel_id": "36666782"}, {"ref": "stpeteishii/parkinsons-disease-progression-eda", "kernel_id": "36670989"}, {"ref": "gunesevitan/amp-pdpp-eda", "kernel_id": "36200087"}, {"ref": "gunesevitan/amp-pdpp-baselines", "kernel_id": "36237322"}, {"ref": "hiramcho/lightgbm-stacking-hpo-rf-knn-lasso-trees", "kernel_id": "36404630"}, {"ref": "rachanabisht/simple-profiling-eda-using-pandas-profiling", "kernel_id": "36058361"}, {"ref": "jacksonkwong/parkinson-s-disease-progression-prediction", "kernel_id": "36425625"}, {"ref": "tatsuyafujii/eng-eda-understanding-data", "kernel_id": "36204303"}, {"ref": "huhao05133/amp-parkinsons-ensemble-add-xgboost", "kernel_id": "36089317"}, {"ref": "mmmarchetti/cross-validation", "kernel_id": "36670785"}, {"ref": "lcylsy0725/detailed-eda-with-guided-questions", "kernel_id": "36227359"}, {"ref": "arunpurakkatt/amp-eda-catboost-smape-79-4", "kernel_id": "36674918"}, {"ref": "samratthapa/parkinsons-lstm-model-groupkfold-lb-62", "kernel_id": "36950098"}, {"ref": "shitianyu/lb-57-2-ensemble-randomforest-svr-linear", "kernel_id": "36124866"}, {"ref": "koubouratouidjaton/amp-parkinson-s-disease-dataset-insights-eda", "kernel_id": "36598662"}, {"ref": "umbertofasci/amp-pdpp-eda-tf-model", "kernel_id": "36863045"}, {"ref": "julianmacnamara/parkinson-s-disease-feature-selection", "kernel_id": "36563268"}, {"ref": "julianmacnamara/parkinson-s-disease-v0-4-xgb", "kernel_id": "36927848"}, {"ref": "ihorin/amp-eda-models", "kernel_id": "36805502"}, {"ref": "adityapachpande/learning-about-parkinsons", "kernel_id": "36416521"}, {"ref": "lordxerxes/predicting-updrs-4", "kernel_id": "36145615"}, {"ref": "midhunthaduru/amp-parkinsons-prediction", "kernel_id": "36695953"}, {"ref": "cafelatte1/pdpp-train-validation-split", "kernel_id": "36178698"}, {"ref": "cafelatte1/pdpp-eda-on-parkinson-s-disease", "kernel_id": "36104325"}, {"ref": "adityavartak/comprehensive-eda-amp-pdp", "kernel_id": "36467092"}, {"ref": "charliezimmerman/unitprot-protein-lookup", "kernel_id": "36608693"}, {"ref": "astronautcandidate/amp-strange-results-from-a-linear-model", "kernel_id": "36232657"}, {"ref": "jernimopimentel/proteinidentificationforparkinsondesease", "kernel_id": "36690838"}, {"ref": "ridamahmood005/practicing-amp-parkinsons-s-disease-62-3", "kernel_id": "36354872"}, {"ref": "gokifujiya/parkinson-s-disease-mds-updrs-end-to-end-baseline", "kernel_id": "36825283"}, {"ref": "yuvannabawa/pd-progression-lstm-bi-lstm", "kernel_id": "36005337"}, {"ref": "joonyoungjang/amp-with-randomforest-svr-lasso-decisiontree", "kernel_id": "36784146"}, {"ref": "xaviernogueira/fe-predicting-medication-status-not-worth-it", "kernel_id": "36449080"}, {"ref": "xaviernogueira/pre-processing-making-labels-and-imputation", "kernel_id": "36775895"}, {"ref": "jackzhang0925/notebook96de96f69b", "kernel_id": "36263799"}, {"ref": "vijaykumarphy068/amp-parkinson-disease-score-50", "kernel_id": "36700587"}, {"ref": "dangkhanhle/parkinson-s-disease-progression-prediction", "kernel_id": "36395231"}, {"ref": "tikemoto/202304-amp-parkinsons-skb", "kernel_id": "36763263"}, {"ref": "johnycooly/parkinson-disease-predictions", "kernel_id": "36081901"}, {"ref": "samvelkoch/prknsn-umap-sandbox", "kernel_id": "36444289"}, {"ref": "issamansour/dive-into-dataset-train-peptides", "kernel_id": "36419307"}, {"ref": "karolinakg/data-interpolation", "kernel_id": "36926906"}, {"ref": "sudhirkumar7925/notebookadcbd2a942", "kernel_id": "36437065"}, {"ref": "asmdef/eda-with-pygwalker-on-amp-parkinson-s-disease-pro", "kernel_id": "36098892"}, {"ref": "lucasguiraldelli/lb-57-2-ensemble-randomforest-svr-linear", "kernel_id": "36151929"}, {"ref": "michaelfauler/the-unimods-in-peptides-r", "kernel_id": "36076254"}, {"ref": "m1gusta/eda-prediction-with-month-offset", "kernel_id": "36397740"}, {"ref": "adityarahul/eda-linearregression", "kernel_id": "36184912"}, {"ref": "jcblink/lb-57-2-ensemble-randomforest-svr-linear", "kernel_id": "36106665"}, {"ref": "matthewsfarmer/amp-parkinson-s-disease-progression-pred", "kernel_id": "36335843"}, {"ref": "cody11null/using-the-smape-metric", "kernel_id": "36787304"}, {"ref": "thomasgamet/time-series-forecasting-parkinson-s-dpp", "kernel_id": "36292350"}, {"ref": "billyangdata/import-pandas-a-np", "kernel_id": "36534640"}, {"ref": "seanwibi/lgbm-baseline", "kernel_id": "36949615"}, {"ref": "zwanguws/wang-arima-apr30", "kernel_id": "36347177"}, {"ref": "vitalykudelya/only-trends", "kernel_id": "37186994"}, {"ref": "federer/basic-regressions-linear-bayesian", "kernel_id": "37063963"}, {"ref": "hwang1221/hwang-protein-preparation-final", "kernel_id": "37477106"}, {"ref": "hwang1221/expanded-linearreg-hwang-may2", "kernel_id": "37921509"}, {"ref": "shams1/proteins", "kernel_id": "37660836"}, {"ref": "shujunge/best-model", "kernel_id": "37120675"}, {"ref": "yzokulu/simple-extratreesregressor-56-5-smape", "kernel_id": "37218834"}, {"ref": "puws06/amp-check-the-relationship-between-data", "kernel_id": "37389075"}, {"ref": "sharanharsoor/approach-using-lstm-time-series", "kernel_id": "37265189"}, {"ref": "maxkokot/amp-parkinson-w2vec-tsfresh-baseline", "kernel_id": "37665020"}, {"ref": "visualcomments/parkinson-peptides-and-proteins-bertopic-explore", "kernel_id": "37656028"}, {"ref": "yiningjiao/notebookdf07439134", "kernel_id": "37389392"}, {"ref": "samratthapa/parkinsons-lstm-model-submission-lb-62", "kernel_id": "37026361"}, {"ref": "maksiamiogan/parkinson", "kernel_id": "37338346"}, {"ref": "slimreaper/fork-of-fork-of-parkcomp", "kernel_id": "37142119"}, {"ref": "minstones/final-notebook-parkinson-s", "kernel_id": "37411554"}, {"ref": "minstones/notebook5d08e86353", "kernel_id": "37368571"}, {"ref": "phanivelicheti/amp-eda-models", "kernel_id": "37633517"}, {"ref": "julianmacnamara/parkinson-s-disease-v0-5-xgb", "kernel_id": "37080698"}, {"ref": "dagartallison/parkinsons-submission-v1", "kernel_id": "37605297"}, {"ref": "adityapachpande/learning-parkinsons-disease", "kernel_id": "37340001"}, {"ref": "hongyuguo/amp-protein-peptides-network-deeplearning-v2", "kernel_id": "37015525"}, {"ref": "hongyuguo/amp-prot-peptide-network-deeplearning", "kernel_id": "37441554"}, {"ref": "hamnaqaseem/data-fighter", "kernel_id": "37907692"}, {"ref": "nreshma/parkinsons-disease-prediction", "kernel_id": "37764580"}, {"ref": "treeleaves30760/20230425-amp", "kernel_id": "37685835"}, {"ref": "valchovalev/amp-parkinson-s-disease-progression-prediction", "kernel_id": "37159883"}, {"ref": "lokeshparab/parkinsons-disease-analysis", "kernel_id": "37197422"}, {"ref": "bennamafethi/amp-linear", "kernel_id": "37295237"}, {"ref": "gokifujiya/parkinson-s-disease-mds-updrs-features-selection", "kernel_id": "37209107"}, {"ref": "ambrosm/pdpp-almost-only-trends", "kernel_id": "37924184"}, {"ref": "ambrosm/pdpp-linear-and-isotonic-groups", "kernel_id": "37995424"}, {"ref": "dearxsoso/using-feature-selection-xgboost-trend", "kernel_id": "37639202"}, {"ref": "joonyoungjang/amp-with-bi-lstm-conv", "kernel_id": "37850142"}, {"ref": "callmewenhao/amp-pdpp-eda-tf-model", "kernel_id": "37064689"}, {"ref": "xaviernogueira/side-quest-imputation-optimization", "kernel_id": "37304342"}, {"ref": "pratik2126/parkinsons-disease-prediction", "kernel_id": "37952903"}, {"ref": "dangkhanhle/test-model", "kernel_id": "37593148"}, {"ref": "devanshjpg/time-trends", "kernel_id": "37517130"}, {"ref": "seangormann/trends-and-preds-sg", "kernel_id": "37951166"}, {"ref": "seangormann/amp-updrs-data-prep-eda", "kernel_id": "37815921"}, {"ref": "swapnika9/parkinsons-rnn", "kernel_id": "37435593"}, {"ref": "bennardong/eda-with-sql-pandas-finance", "kernel_id": "37476004"}, {"ref": "jinshanzhongxue/multi-month-trend", "kernel_id": "37616865"}, {"ref": "dustinober/parkinson-s-disease-progression-prediction", "kernel_id": "37891554"}, {"ref": "slavomirnp/data-analisis", "kernel_id": "37296369"}, {"ref": "alizaminali/parkinson-s-disease-progression-prediction", "kernel_id": "37797303"}, {"ref": "redredguy/simple-linearregression-updated-56-6-smape", "kernel_id": "37569308"}, {"ref": "redredguy/baseline-70-train-inference-randomforest", "kernel_id": "37977386"}, {"ref": "gvenkataraviram/final-submission", "kernel_id": "37731689"}, {"ref": "douglasmckinley/approach-using-lstm-time-series", "kernel_id": "37923846"}, {"ref": "yurajakadari/data-daredevil-final-model", "kernel_id": "37690386"}, {"ref": "weishanshan033/simple-extratreesregressor-56-5-smape", "kernel_id": "37552772"}, {"ref": "jorgetecochatorres/notebook-parkinson26-04", "kernel_id": "37772461"}, {"ref": "jiaqingfu2000/parkinsons-different-models", "kernel_id": "37495715"}, {"ref": "zskagcomp/simple-linear-model", "kernel_id": "37860421"}, {"ref": "ruichardliu/random-forest-model-considering-only-protein-richn", "kernel_id": "37277433"}, {"ref": "averyquan/evaluation-of-models-to-predict-parkinson-s-diseas", "kernel_id": "37604900"}, {"ref": "shakirayman/prot-pep2", "kernel_id": "37167981"}, {"ref": "shakirayman/protein-pep", "kernel_id": "37056560"}, {"ref": "zwanguws/xgboost-linear-regression-gridsearch-hwang-apr29", "kernel_id": "37934044"}, {"ref": "mariastephenson/peptide-and-protein-correlations", "kernel_id": "37763484"}, {"ref": "nikvor/notebook33f1691476", "kernel_id": "37394369"}, {"ref": "nickvorr/notebook5c84d147f1", "kernel_id": "37636690"}, {"ref": "dott1718/1st-place-solution", "kernel_id": "38602541"}, {"ref": "vitalykudelya/model-without-proteins-peptides-for-top-18", "kernel_id": "38611326"}, {"ref": "vitalykudelya/p05060-protein-npx-groups-trend-silver-medal", "kernel_id": "38207803"}, {"ref": "vitalykudelya/protein-npx-groups-trend", "kernel_id": "38173792"}, {"ref": "mhyodo/amp-last-submit-v1", "kernel_id": "38677998"}, {"ref": "mhyodo/amp-visitmonth-model-first-month", "kernel_id": "38382559"}, {"ref": "mhyodo/amp-catboost-protein-model", "kernel_id": "38511692"}, {"ref": "mhyodo/amp-visitmonth-model", "kernel_id": "38512542"}, {"ref": "cdeotte/4th-place-solution-public-54-9-private-60-1", "kernel_id": "38715514"}, {"ref": "leosv100/hpo-tuning-cross-validation-modeling", "kernel_id": "38375702"}, {"ref": "vinitkp/parkinson-s-disease-tfdf", "kernel_id": "38294202"}, {"ref": "kyakovlev/amp-blood-randomness", "kernel_id": "38797544"}, {"ref": "maruichi01/feature-selection", "kernel_id": "38572668"}, {"ref": "maruichi01/medmodel-find-best-group", "kernel_id": "38412255"}, {"ref": "maruichi01/12th-place-solution", "kernel_id": "38686226"}, {"ref": "averma111/pytorch-amp-prediction", "kernel_id": "38245488"}, {"ref": "hideyukizushi/amp-inf-0518v10-trend-npxx3", "kernel_id": "38687343"}, {"ref": "hideyukizushi/amp-inf-train-0518v1-trend-gbdt-protein", "kernel_id": "38689807"}, {"ref": "dc5e964768ef56302a32/2nd-solution", "kernel_id": "38296645"}, {"ref": "dhanyabenjamin/amp-pd-progression-prediction-lsvr-u-based", "kernel_id": "38324691"}, {"ref": "thajime/amp-pdpp-3rd-place-solution", "kernel_id": "38771658"}, {"ref": "qidixu/amp-pd-prediction-with-multiple-output-mlp-model", "kernel_id": "38203610"}, {"ref": "lenferdetroud/protein-npx-groups-trend", "kernel_id": "38551675"}, {"ref": "hamnaqaseem/features-players", "kernel_id": "38131976"}, {"ref": "thomasdubail/pdpp-2-stage-model", "kernel_id": "38007766"}, {"ref": "yiningtan/pb-55-5-protein-p05060-protein-npx-groups-trend", "kernel_id": "38583919"}, {"ref": "cafelatte1/pdpp-vitaly-s-version-ensemble-v1", "kernel_id": "38215750"}, {"ref": "cafelatte1/pdpp-vitaly-s-version-lightgbm-v2-2stage", "kernel_id": "38624829"}, {"ref": "gusthema/parkinson-s-disease-progression-prediction-w-tfdf", "kernel_id": "38017218"}, {"ref": "alecshamula/using-feature-selection-xgboost-trend", "kernel_id": "38047391"}, {"ref": "alecshamula/pdpp-almost-only-trends-f8776b", "kernel_id": "38169569"}, {"ref": "ambrosm/pdpp-quadratic-trends", "kernel_id": "38124706"}, {"ref": "soumenksarker/customemodel-phaseshiftensembling", "kernel_id": "38338587"}, {"ref": "soumenksarker/protein-npx-groups", "kernel_id": "38629019"}, {"ref": "dongyk/report-on-amp-competition", "kernel_id": "38753641"}, {"ref": "jiawen9/55-6-in-private-lb-but-overfitting", "kernel_id": "38541460"}, {"ref": "gehallak/pdpp-xgb-no-protein", "kernel_id": "38514845"}, {"ref": "minhbulc/only-trends-explaination", "kernel_id": "38640232"}, {"ref": "nanashi0it/parkinson-s-disease-progression-prediction", "kernel_id": "38743569"}, {"ref": "sabahesaraki/parkinson-s-disease-progression-prediction", "kernel_id": "38593172"}, {"ref": "nadunkumarasinghe/trial-1-parkinson", "kernel_id": "38975206"}, {"ref": "murugesann/park-nm-dl-6", "kernel_id": "38641376"}, {"ref": "alex9998/amp-pd-progression-prediction", "kernel_id": "38360601"}, {"ref": "deepikaarikesavan/parkinson-s-disease-progression-prediction", "kernel_id": "38390080"}, {"ref": "deepikaarikesavan/parkinson-s-disease-progression-prediction-w-tfdf", "kernel_id": "38384100"}, {"ref": "mukundtandon/gridsearchcv-randomforest-optuna-xgboost", "kernel_id": "38025146"}, {"ref": "mewmlelswm/amp-parkinson-s-xgb-lasso-lgbm-rfc-svm-f00156", "kernel_id": "38671308"}, {"ref": "junbai2022/fixedsetttingdtmodelnewfeatures", "kernel_id": "38670696"}, {"ref": "glsmhoolubayrak/parkinson-deep-learning", "kernel_id": "38266076"}, {"ref": "wesleytjy/pdpp-almost-only-trends-f8776b", "kernel_id": "38185403"}, {"ref": "malshancs/notebooka07222a0dd", "kernel_id": "38262551"}, {"ref": "malshancs/testing-first", "kernel_id": "38320724"}, {"ref": "thefreakin/linearregression-simple-57-3-smape", "kernel_id": "38360349"}, {"ref": "ginushmalwikumjith/uom-cs3111-23-group09-attempt-02", "kernel_id": "38881504"}, {"ref": "ginushmalwikumjith/uom-cs3111-23-group09-attempt-01", "kernel_id": "38361287"}, {"ref": "nyosh1005/protein-npx-groups-trend-test", "kernel_id": "38180663"}, {"ref": "sheshanpremathilaka/simple-linear-regression-01", "kernel_id": "38686964"}, {"ref": "harshanashehan/submission-02", "kernel_id": "38682121"}, {"ref": "uom200590j/group-03-uom-cse", "kernel_id": "38299955"}, {"ref": "uom200590j/uom-group-03-ml-comp-sub", "kernel_id": "38607579"}, {"ref": "uom200040b/ml-lab2-group-20", "kernel_id": "38199376"}, {"ref": "uom200279n/parkinson-syndrome-prediction", "kernel_id": "38686633"}, {"ref": "uom200694g/approach-2", "kernel_id": "38861481"}, {"ref": "uom200694g/approach-1", "kernel_id": "38858200"}, {"ref": "uom200110p/fork-notebook4fd6bea409-version-5", "kernel_id": "38702352"}, {"ref": "uom200110p/submission-1", "kernel_id": "38366935"}, {"ref": "uom200389c/uom-cs3111-23-group19-regression", "kernel_id": "38181298"}, {"ref": "uom200384g/lab-2-regression", "kernel_id": "38274715"}, {"ref": "uom200296m/submission-file", "kernel_id": "38801705"}, {"ref": "uom200441f/200441f-2", "kernel_id": "38703418"}, {"ref": "uom200682t/test-prediction-notebook", "kernel_id": "38237624"}, {"ref": "uom200269j/uom-cs3111-23-group07-final-submission", "kernel_id": "38361385"}, {"ref": "omkarnanekarairam/pca-with-optuna-model-public-lb-score-56-7", "kernel_id": "38383026"}, {"ref": "ejmockler/updrs-graph-attention", "kernel_id": "38131362"}, {"ref": "benjaminmigeon/parkinson-level-prediction-notebook", "kernel_id": "38292834"}, {"ref": "nickvorr/pdpp-almost-only-trends", "kernel_id": "38093611"}, {"ref": "uom200647r/group-16-version-02", "kernel_id": "38968759"}, {"ref": "uom200647r/group-16-version-01", "kernel_id": "38966854"}, {"ref": "uom200647r/group-16", "kernel_id": "38115517"}, {"ref": "georgiamanioudaki/gmnb-amp-parkinson-progression-competition", "kernel_id": "38443859"}, {"ref": "uom200399g/trial-submission-using-public-notebooks", "kernel_id": "38341282"}, {"ref": "uom200480x/parkinson-s-disease-progression-prediction-w-tfdf", "kernel_id": "38608520"}, {"ref": "uom200480x/notebookfa8322a7be", "kernel_id": "38709072"}, {"ref": "uom200472b/notebook5c63eaf1a9", "kernel_id": "38651408"}, {"ref": "thajime/amp-pdpp-3rd-place-solution-simple", "kernel_id": "39177612"}, {"ref": "ankitachoudhury01/parkinson-s-disease-progression-prediction", "kernel_id": "39158378"}, {"ref": "gayaniwickramarathna/notebook5-parkinson", "kernel_id": "39660996"}, {"ref": "nilupulsandarusiru/pdpp-quadratic-trends", "kernel_id": "39715861"}, {"ref": "uom200199t/lab02-group02-2-3fe622", "kernel_id": "39895963"}, {"ref": "uom200389c/simple-linear-regression-01", "kernel_id": "39684521"}, {"ref": "uom200421u/lab-2-group-17", "kernel_id": "39520606"}, {"ref": "pclorensuhewa/02-b91b78", "kernel_id": "39711740"}, {"ref": "lippop/parkinson-s-disease-progression-prediction", "kernel_id": "39293707"}, {"ref": "uom200440c/parkinson-s-disease-progression-prediction-grp1", "kernel_id": "39691186"}, {"ref": "uom200575t/notebookbdddad9c74", "kernel_id": "39717621"}, {"ref": "uom200575t/notebookdae8e14a81", "kernel_id": "39717842"}, {"ref": "uom200575t/1st-approach-1", "kernel_id": "39717918"}, {"ref": "uom200575t/2nd-approach", "kernel_id": "39717942"}, {"ref": "idodahan1/parkinson-s-disease-progression-prediction-121178", "kernel_id": "40939610"}, {"ref": "yasithamarasinghe/amp-parkinson-s-disease-program", "kernel_id": "40065967"}, {"ref": "sumitj3na/fork-of-parkinson-progression-prediction", "kernel_id": "41024779"}, {"ref": "sumitj3na/parkinson-progression-prediction", "kernel_id": "41023004"}, {"ref": "moonterry/main-pipeline", "kernel_id": "41582912"}, {"ref": "gimgoon/amp-single-lightgbm-private-60-179-late-sub", "kernel_id": "42547231"}, {"ref": "wisawesome/amp-pdpp-top-3-solution-code", "kernel_id": "43469693"}, {"ref": "sowrabhm/parkinson-s-disease-progression-prediction-w-tfdf", "kernel_id": "44926284"}, {"ref": "devanshiawasthi/notebook81a58dbe6c", "kernel_id": "46188422"}, {"ref": "nagesh1006/notebook92dfe967fb", "kernel_id": "47999496"}, {"ref": "xiefei/parkinson-s-disease-progression-prediction", "kernel_id": "50276106"}, {"ref": "shreyasharma23/amp-pdpp-top-3-solution-code", "kernel_id": "53364653"}, {"ref": "akshatb4/parkinsons-svr", "kernel_id": "53037158"}, {"ref": "chanchal24/parkinson-s-disease-detection", "kernel_id": "55556387"}, {"ref": "tusleaandreea/projekt-final", "kernel_id": "58530323"}, {"ref": "paulieadi/parkinson-s-disease-mds-updrs-end-to-end-ba-df3599", "kernel_id": "63280090"}, {"ref": "prit0504/parkinson-s-disease-prediction", "kernel_id": "67829676"}, {"ref": "zimn33/tfd-zimn33", "kernel_id": "70947822"}, {"ref": "aseulong/parkinson-s-disease-progression-prediction-w-tfdf", "kernel_id": "70308220"}, {"ref": "zyh1104/006-parkinson-s-disease-progression-prediction", "kernel_id": "71020610"}, {"ref": "varthini123/parkinson-s-disease-progression-prediction-w-tfdf", "kernel_id": "75982953"}, {"ref": "dodobaba/parkinson", "kernel_id": "79800658"}, {"ref": "zidanerriah/parkinson-s-disease-progression-prediction-zidan", "kernel_id": "79511583"}, {"ref": "lishuishui2024/amp-ds8007-group20", "kernel_id": "116737665"}, {"ref": "mahmoudalalwani/protein-npx-groups-trend", "kernel_id": "132495316"}]}
{"competition_id": "37797", "kernels": []}
{"competition_id": "37799", "kernels": [{"ref": "anasalshiekhbakri/laptop-price-prediction", "kernel_id": "39003298"}]}
{"competition_id": "37802", "kernels": []}
{"competition_id": "37809", "kernels": []}
{"competition_id": "37813", "kernels": []}
{"competition_id": "37830", "kernels": [{"ref": "alekseikorobov/effective-read-images", "kernel_id": "28985408"}, {"ref": "denisgubankov/psnr-iqa-solution", "kernel_id": "31241788"}, {"ref": "batalovalada/super-resolution", "kernel_id": "73594310"}]}
{"competition_id": "37835", "kernels": [{"ref": "sasacademic/sas-vfl-2022-r-starter", "kernel_id": "28892434"}, {"ref": "sasacademic/sas-vfl-2022-python-starter", "kernel_id": "28892021"}, {"ref": "sasacademic/sas-vlf-2022-python-advanced", "kernel_id": "28914581"}]}
{"competition_id": "37846", "kernels": [{"ref": "dodo16/transpose", "kernel_id": "29056684"}, {"ref": "denisgubankov/scintillation-detector-signal-types-preprocessing", "kernel_id": "29053315"}, {"ref": "denisgubankov/scintillation-detector-signal-types-2nd-place", "kernel_id": "29670697"}]}
{"competition_id": "37852", "kernels": [{"ref": "qi0239/image-classification-baseline", "kernel_id": "28979740"}, {"ref": "cdhhhhh/image-classification-baseline", "kernel_id": "30496551"}, {"ref": "zppppy/efficientnet-b2", "kernel_id": "72096012"}, {"ref": "zppppy/convnext", "kernel_id": "72019626"}, {"ref": "daoviet/boolart-image-classification-baseline", "kernel_id": "118290896"}]}
{"competition_id": "37853", "kernels": [{"ref": "qi0239/segmodel-baseline", "kernel_id": "29612921"}, {"ref": "qi0239/hybrid-swin-transformer", "kernel_id": "29649947"}]}
{"competition_id": "37861", "kernels": [{"ref": "vivekvarma23/text-or-notext", "kernel_id": "29352668"}]}
{"competition_id": "37895", "kernels": [{"ref": "bharathraam1691/sera-venenoso", "kernel_id": "29060901"}, {"ref": "gehallak/xgboost-one-hot-encoder", "kernel_id": "29066751"}]}
{"competition_id": "37896", "kernels": []}
{"competition_id": "37898", "kernels": [{"ref": "keithpinson/yoy-butterfly-mimics-2022-exploration", "kernel_id": "29233254"}, {"ref": "keithpinson/yoy-butterfly-mimics-2022-load-training", "kernel_id": "29233367"}, {"ref": "keithpinson/yoy-butterfly-mimics-2022-load-tests", "kernel_id": "29233522"}, {"ref": "keithpinson/yoy-butterfly-mimics-2022-baseline-notebook", "kernel_id": "29233717"}, {"ref": "vbookshelf/pytorch-timm-efficientnet-b1-butterfly-classifier", "kernel_id": "29599657"}, {"ref": "mpwolke/yum-yuck-butterflies-fastdup", "kernel_id": "29585855"}, {"ref": "bnsbb1999/fastai-ensemble-top-1", "kernel_id": "29451519"}, {"ref": "fatihismailbahar/resnet-50-pytroch-yum-or-yuck", "kernel_id": "29842463"}]}
{"competition_id": "37904", "kernels": [{"ref": "muhammadhadi28/gofood-sentiment-analysis-based-on-twitter-data", "kernel_id": "29020138"}, {"ref": "rudibirud/notebook91b088babc", "kernel_id": "29067797"}, {"ref": "saijnawazaki/tdai-julianto-20210804007-rev-7", "kernel_id": "29096959"}]}
{"competition_id": "37906", "kernels": [{"ref": "jackyzhuo666/baseline-tutorial-for-chinesemnist", "kernel_id": "29014414"}]}
{"competition_id": "37918", "kernels": [{"ref": "jeanmidev/build-submissions-most-popular", "kernel_id": "29077518"}]}
{"competition_id": "37930", "kernels": [{"ref": "tanguyesteoule/ensimag-data-challenge", "kernel_id": "32564438"}]}
{"competition_id": "37941", "kernels": [{"ref": "mauliksinhparmar/eeg-based-biometric-competition", "kernel_id": "50534587"}]}
{"competition_id": "37946", "kernels": [{"ref": "phanminhtoan/skills-detection-from-the-text", "kernel_id": "30361942"}]}
{"competition_id": "37955", "kernels": []}
{"competition_id": "37959", "kernels": [{"ref": "shaggy11/first-try-with-microsoft-recommenders", "kernel_id": "29873135"}, {"ref": "jeanmidev/build-submission-most-popular-cards", "kernel_id": "29138102"}, {"ref": "ggggalaxy/build-submission-most-popular-cards-add-race-judge", "kernel_id": "29790567"}, {"ref": "pietromaldini1/prepare-dataset-for-polimi-repo-recommenders", "kernel_id": "29537874"}, {"ref": "pietromaldini1/item-collaborative-filtering", "kernel_id": "29543345"}, {"ref": "pietromaldini1/graph-based-recommender-rp3beta", "kernel_id": "29563215"}, {"ref": "francescorubbo/duplicated-decks", "kernel_id": "30874331"}, {"ref": "reidtc/card-recommender-random-baseline-0-00210", "kernel_id": "30213056"}, {"ref": "reidtc/card-recommender-markov-0-05340", "kernel_id": "30214262"}, {"ref": "martinerrazquin/hs-cleansing-basic-model", "kernel_id": "31784474"}, {"ref": "sosperec/hearthstone-predict-by-knn-and-card-similarities", "kernel_id": "31891155"}, {"ref": "sosperec/visualize-hearthstone-prediction", "kernel_id": "31322655"}, {"ref": "pietromaldini1/ensemble-lgbm-ranker", "kernel_id": "31471692"}, {"ref": "pietromaldini1/user-collaborative-filtering", "kernel_id": "31301865"}, {"ref": "pietromaldini1/multvaerecommender", "kernel_id": "31303663"}, {"ref": "pietromaldini1/4th-place-solution-ensemble-catboost-ranker", "kernel_id": "31507672"}, {"ref": "mikita1580/hearthstone-what-card-should-i-select-next", "kernel_id": "31653530"}, {"ref": "jasoncys/keras-tensorflow-neural-network", "kernel_id": "32040672"}, {"ref": "oumiww/recommand-cards-with-simple-nw", "kernel_id": "76870692"}]}
{"competition_id": "37980", "kernels": [{"ref": "rishirajacharya/gsoc-2022-tf-df-text-tf-hub-embedding", "kernel_id": "29148355"}, {"ref": "trhgquan/using-decision-tree", "kernel_id": "29166746"}]}
{"competition_id": "37981", "kernels": [{"ref": "something4kag/getting-started-what-more-to-do-with-clues", "kernel_id": "29734034"}, {"ref": "something4kag/getting-started-wrangling-emojis", "kernel_id": "29377374"}, {"ref": "something4kag/getting-started-what-to-do-with-clues", "kernel_id": "29600726"}, {"ref": "something4kag/getting-started-nca-emoji-challenge", "kernel_id": "29194508"}, {"ref": "something4kag/nca-emoji-challenge-sample-submission", "kernel_id": "29221122"}, {"ref": "something4kag/demo-regeneration-with-demo-model", "kernel_id": "29219591"}, {"ref": "something4kag/demo-model-jurassic-nca", "kernel_id": "29198914"}, {"ref": "mpwolke/nca-emojis-fastdup", "kernel_id": "29564987"}, {"ref": "mpwolke/nca-emoji-challenge", "kernel_id": "29564303"}, {"ref": "something4kag/getting-started-using-huggingface", "kernel_id": "30046697"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender", "kernel_id": "32907401"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-2", "kernel_id": "32935205"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-3", "kernel_id": "32963571"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-4", "kernel_id": "32986930"}, {"ref": "something4kag/holiday-fun-with-nca-emojis-test-rhyming-slang", "kernel_id": "32829683"}, {"ref": "something4kag/holiday-fun-with-nca-emojis-train-sampler", "kernel_id": "32826236"}, {"ref": "something4kag/holiday-fun-with-nca-emojis-test-movies", "kernel_id": "32827514"}, {"ref": "something4kag/holiday-fun-with-nca-emojis-test-songs", "kernel_id": "32828795"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-25", "kernel_id": "33579876"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-24", "kernel_id": "33560007"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-17", "kernel_id": "33367156"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-18", "kernel_id": "33392132"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-16", "kernel_id": "33343146"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-15", "kernel_id": "33313681"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-23", "kernel_id": "33533089"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-22", "kernel_id": "33504902"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-21", "kernel_id": "33477947"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-19", "kernel_id": "33415145"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-20", "kernel_id": "33447026"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-11", "kernel_id": "33189996"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-10", "kernel_id": "33168330"}, {"ref": "something4kag/nca-emoji-challenge-using-open-clip", "kernel_id": "33219595"}, {"ref": "something4kag/nca-emoji-challenge-model-images-create", "kernel_id": "33220616"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-12", "kernel_id": "33214802"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-14", "kernel_id": "33280142"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-13", "kernel_id": "33248979"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-7", "kernel_id": "33080398"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-8", "kernel_id": "33111691"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-9", "kernel_id": "33140833"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-5", "kernel_id": "33017546"}, {"ref": "something4kag/nca-emojis-advent-calendar-julekalender-6", "kernel_id": "33048196"}]}
{"competition_id": "37983", "kernels": [{"ref": "evilpsycho42/data-analysis", "kernel_id": "29152449"}, {"ref": "evilpsycho42/pyramid-xgboost-5fold", "kernel_id": "29150951"}]}
{"competition_id": "37984", "kernels": [{"ref": "ayushv322/telecom-churn-work-in-progress", "kernel_id": "29208313"}, {"ref": "ramjasmaurya/churn-analysis-with-95-accuracy", "kernel_id": "29320894"}, {"ref": "shammikapoor/telecom-churn-prediction-advanced-ml", "kernel_id": "29402293"}]}
{"competition_id": "37991", "kernels": [{"ref": "xuntrngphm/notebook26bcfb2ee6", "kernel_id": "44050355"}]}
{"competition_id": "37994", "kernels": [{"ref": "priscillanormando/covidnihcomppred", "kernel_id": "44179806"}]}
{"competition_id": "37995", "kernels": [{"ref": "priscillanormando/covidnihcompnlp", "kernel_id": "44180190"}]}
{"competition_id": "37996", "kernels": []}
{"competition_id": "38001", "kernels": [{"ref": "kristjanr/logisticregression-auroc-0-82", "kernel_id": "29855056"}, {"ref": "kristjanr/xgboost-0-86170-accuracy", "kernel_id": "29883514"}, {"ref": "girishvutukuri/exercise-drinking-water-quality-prediction", "kernel_id": "29964680"}, {"ref": "kristjanr/cheating-by-using-avaandmed-eesti-ee", "kernel_id": "30462312"}, {"ref": "akmalmir/drinking-water-quality-experiment-submissions", "kernel_id": "30054258"}, {"ref": "maverickss26/drinking-water-prediction-with-svc", "kernel_id": "30673053"}, {"ref": "pealik/drinking-water-quality-submissions", "kernel_id": "32291044"}]}
{"competition_id": "38002", "kernels": [{"ref": "cbentes/intent-classification-with-tartunlp-estbert", "kernel_id": "30880848"}, {"ref": "phanminhtoan/multi-intent-detection-in-customers-requests", "kernel_id": "30358874"}]}
{"competition_id": "38003", "kernels": [{"ref": "cbentes/tartu-siamese-network-with-beit-embeddings", "kernel_id": "30880585"}, {"ref": "thomasdubail/comp-image-classifiaction", "kernel_id": "30082601"}, {"ref": "phanminhtoan/object-recognition-for-the-image-bank-of-tartu", "kernel_id": "30411673"}]}
{"competition_id": "38004", "kernels": []}
{"competition_id": "38009", "kernels": [{"ref": "muhammadhadi28/bird-image-classification-with-inception-restnetv2", "kernel_id": "29217468"}, {"ref": "saijnawazaki/tdip-julianto-20210804007-rev-2", "kernel_id": "29313263"}]}
{"competition_id": "38015", "kernels": []}
{"competition_id": "38019", "kernels": []}
{"competition_id": "38026", "kernels": [{"ref": "tracyporter/tweet-likes-nlp-tf", "kernel_id": "39505239"}, {"ref": "nehorosij/twitter-likes-prediction-catboost", "kernel_id": "39749812"}]}
{"competition_id": "38028", "kernels": []}
{"competition_id": "38038", "kernels": []}
{"competition_id": "38043", "kernels": [{"ref": "tukkonen/cryptography-hash-function-example-neural-network", "kernel_id": "29283804"}, {"ref": "barbagrande007/bbg007-cryptography", "kernel_id": "32227472"}]}
{"competition_id": "38044", "kernels": []}
{"competition_id": "38050", "kernels": []}
{"competition_id": "38053", "kernels": [{"ref": "jingyuanchen142300/data-loader", "kernel_id": "29350935"}]}
{"competition_id": "38057", "kernels": []}
{"competition_id": "38062", "kernels": [{"ref": "thomasdubail/computer-price-prediction-top-2-solution", "kernel_id": "29341986"}]}
{"competition_id": "38063", "kernels": []}
{"competition_id": "38064", "kernels": []}
{"competition_id": "38080", "kernels": [{"ref": "evilpsycho42/boolart-investment-wise-transformer", "kernel_id": "29329924"}]}
{"competition_id": "38104", "kernels": [{"ref": "darkaze/eda-baseline-for-spotify-challenge", "kernel_id": "29455727"}]}
{"competition_id": "38112", "kernels": [{"ref": "nguyenbachuank16hl/sample-eda-code-baseline", "kernel_id": "29509400"}]}
{"competition_id": "38128", "kernels": [{"ref": "digitalbro/multimodal-sc-integration-meta-resources", "kernel_id": "29831803"}, {"ref": "alekeuro/querying-specific-subsets-of-the-data-without-load", "kernel_id": "29746334"}, {"ref": "jsmithperera/msci-citeseq-quickstart-v3", "kernel_id": "29912004"}, {"ref": "jsmithperera/multiome-sparse-tsvd-v2", "kernel_id": "29926734"}, {"ref": "stautxie/reduce-memory-footprint-of-competition-data", "kernel_id": "29971714"}, {"ref": "nandodmelo/cite-xgboost-v1", "kernel_id": "29849233"}, {"ref": "swimmy/lgbm-baseline-msci-multiome", "kernel_id": "29899650"}, {"ref": "swimmy/lgbm-baseline-msci-citeseq", "kernel_id": "29829544"}, {"ref": "narendra/msci-high-level-eda", "kernel_id": "29872086"}, {"ref": "wwhlazio/initial-analysis-r", "kernel_id": "29724464"}, {"ref": "daniorerio/getting-started-scanpy-muon", "kernel_id": "29630693"}, {"ref": "shivamanhar/data-mean-value", "kernel_id": "29640710"}, {"ref": "shivamanhar/dna-rna-protein-measurements-eda", "kernel_id": "29627017"}, {"ref": "shuntarotanaka/simple-submission-average-by-gene-id", "kernel_id": "29628631"}, {"ref": "sskknt/en-jp-quick-data-preview-and-column-name-patterns", "kernel_id": "29662969"}, {"ref": "alexandervc/mmscel-eda-bioinfo-targets-citeseq-01", "kernel_id": "29766415"}, {"ref": "alexandervc/use-h5py-for-huge-h5-file-backing-it-on-disk", "kernel_id": "29695158"}, {"ref": "alexandervc/postprocessing-tips-normalize-y-to-1e6-multiome", "kernel_id": "29617023"}, {"ref": "mpwolke/multimodal-single-cell-h5-file", "kernel_id": "29738545"}, {"ref": "pollicio/analisis-unicelular-chile", "kernel_id": "29930406"}, {"ref": "monibalint/h5-files-in-r-to-get-familiarized", "kernel_id": "29826440"}, {"ref": "masato114/chromatin-gene-conversion-train", "kernel_id": "29950683"}, {"ref": "masato114/chromatin-gene-conversion-test", "kernel_id": "29976186"}, {"ref": "queyrusi/cell-analysis-quick-h5-eda", "kernel_id": "29624187"}, {"ref": "queyrusi/baseline-submission", "kernel_id": "29623818"}, {"ref": "vicsonsam/multisci-eda", "kernel_id": "29791089"}, {"ref": "sbunzini/multiome-simple-nn-with-sparse-matrices", "kernel_id": "29882143"}, {"ref": "sbunzini/reduce-memory-usage-by-95-with-sparse-matrices", "kernel_id": "29847933"}, {"ref": "lucasmorin/msci-citeseq-tf-keras-nn-custom-loss", "kernel_id": "29847780"}, {"ref": "jamesdao/row-col-counts-uncompressed-filesizes-sparsity", "kernel_id": "29680577"}, {"ref": "peterholderrieth/getting-started-data-loading", "kernel_id": "29518392"}, {"ref": "hnthnt/aircon-tsvd", "kernel_id": "29898227"}, {"ref": "erivanoliveirajr/multimodal-single-cell-integration", "kernel_id": "29748184"}, {"ref": "jirkaborovec/mmscel-inst-eda-stat-predictions", "kernel_id": "29671072"}, {"ref": "vuonglam/tune-lgbm-only-final-cite-task", "kernel_id": "29831844"}, {"ref": "ravishah1/citeseq-rna-to-protein-encoder-decoder-nn", "kernel_id": "29945883"}, {"ref": "jamunaprasadyadav/open-problems-multimodal-single-cell-integrati", "kernel_id": "29926129"}, {"ref": "ambrosm/msci-citeseq-quickstart", "kernel_id": "29737665"}, {"ref": "ambrosm/msci-multiome-quickstart", "kernel_id": "29742519"}, {"ref": "ambrosm/msci-eda-which-makes-sense", "kernel_id": "29732059"}, {"ref": "sakurakotanida/eda-in-japanese", "kernel_id": "29936783"}, {"ref": "rm1000/primitive-ensembling", "kernel_id": "29904955"}, {"ref": "xiafire/lb0-830-lgbm-optuna-msci-citeseq", "kernel_id": "29897049"}, {"ref": "edadi1l/all-necessary-eda-date-celltype-effect", "kernel_id": "29662592"}, {"ref": "leohash/complete-eda-of-mmscel-integration-data", "kernel_id": "29628534"}, {"ref": "rufusc/open-problem-multimodal", "kernel_id": "29905245"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "bansodesandeep/ml-logistic-regression-boston-data-binning", "kernel_id": "29915382"}, {"ref": "francescoliveras/open-problems-multimodal-single-cell-integration", "kernel_id": "29652546"}, {"ref": "konomuabe/convert-data-for-speed-up", "kernel_id": "29748802"}, {"ref": "ovefrlow/reduce-memory-usage-by-95-with-sparse-matrices", "kernel_id": "29889859"}, {"ref": "knowledgesl/h5-files-in-r-to-get-familiarized", "kernel_id": "29870549"}, {"ref": "jsmithperera/citeseq-ambrosm-s-x-keras-lgbm", "kernel_id": "30368141"}, {"ref": "jsmithperera/citeseq-ambrosm-s-x-lgbm", "kernel_id": "30402137"}, {"ref": "jsmithperera/citeseq-ambrosm-s-x-keras-lgbm-tabnet", "kernel_id": "30478826"}, {"ref": "jsmithperera/citeseq-tabnet", "kernel_id": "30468087"}, {"ref": "jsmithperera/multiome-w-sparse-m-tsvd-32", "kernel_id": "30065655"}, {"ref": "jsmithperera/citeseq-by-cell-type", "kernel_id": "30089321"}, {"ref": "stautxie/multiomer-prediction-with-svd-regression", "kernel_id": "30083684"}, {"ref": "stautxie/cite-seq-baseline-prediction", "kernel_id": "30089374"}, {"ref": "stautxie/svd-based-decomposition-for-cite-prediction", "kernel_id": "30348718"}, {"ref": "stautxie/lower-memory-footprint-via-python-sparse-matrix", "kernel_id": "30318767"}, {"ref": "stautxie/svd-decomposition-for-multiomer-prediction", "kernel_id": "30319329"}, {"ref": "vslaykovsky/multi-67-cite-89-pytorch-swiss-army-knife", "kernel_id": "30156786"}, {"ref": "vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r", "kernel_id": "30126378"}, {"ref": "shams1/generating-all-correlations-inputs-targets", "kernel_id": "30554426"}, {"ref": "swimmy/stacking-lgbm-catboost-ridge-xgb-msci", "kernel_id": "30163538"}, {"ref": "swimmy/blending-of-five-submission", "kernel_id": "30119591"}, {"ref": "narendra/cite-eda", "kernel_id": "30232943"}, {"ref": "riow1983/eda-to-see-the-sampling-result-of-multiome", "kernel_id": "30940685"}, {"ref": "bejeweled/multiome-rf-feature-selection", "kernel_id": "30880222"}, {"ref": "sskknt/msci-citeseq-keras-quickstart-dropout", "kernel_id": "30150191"}, {"ref": "alexandervc/mmscel-crossvalidation-schemes", "kernel_id": "30881029"}, {"ref": "alexandervc/mmscel-analysis-of-evaluation-and-submission", "kernel_id": "30754292"}, {"ref": "alexandervc/mmscel-magic-features-load-example-cell-cycle", "kernel_id": "30745874"}, {"ref": "alexandervc/mmscel-cell-cycle-03b-daybydaychange-allcelltypes", "kernel_id": "30255917"}, {"ref": "alexandervc/mmscel-cell-cycle-03-daybydaychange-megakaryocyte", "kernel_id": "30252297"}, {"ref": "alexandervc/mmscel-atac-seq-eda-01-dimred-visualizations", "kernel_id": "30417354"}, {"ref": "alexandervc/mmscel-create-h5ad-anndata-for-multiome-targets", "kernel_id": "30397176"}, {"ref": "alexandervc/heatmap-of-atac-seq-multiome-data", "kernel_id": "30341243"}, {"ref": "alexandervc/mmscel-atac-seq-eda02-sums-counts-day-dependence", "kernel_id": "30523805"}, {"ref": "alexandervc/mmscel-count-nonzero-genes-decrease-daily", "kernel_id": "30514887"}, {"ref": "alexandervc/mmscel-eda-targets-citeseq-02", "kernel_id": "30562817"}, {"ref": "alexandervc/mmscel-genes-eda", "kernel_id": "30479639"}, {"ref": "alexandervc/mmscel-eda-multiome-targets-01-cell-cycle", "kernel_id": "30458431"}, {"ref": "batprem/multiome-svd-128", "kernel_id": "30181631"}, {"ref": "ahmedewida/multimodal-single-cell-integration-ensembling", "kernel_id": "30488943"}, {"ref": "takanashihumbert/there-are-35-features-in-multiome-data-constant-0", "kernel_id": "30139972"}, {"ref": "visualcomments/genes-embeddings-clustermap", "kernel_id": "30829092"}, {"ref": "olegzakh/transform-input-by-grouping-features-multiome", "kernel_id": "30857183"}, {"ref": "masato114/overlaps-between-cite-genes-and-atac-genes", "kernel_id": "30036495"}, {"ref": "masato114/msci-multiome-using-geneactivity", "kernel_id": "30004088"}, {"ref": "josecarmona/msci22-keep-in-mind-2in1", "kernel_id": "30474714"}, {"ref": "lucasmorin/tf-keras-nn-base-to-work", "kernel_id": "30099967"}, {"ref": "mehrankazeminia/2-5-msci22-splitting-up1", "kernel_id": "30422691"}, {"ref": "mehrankazeminia/1-5-msci22-eda", "kernel_id": "30217212"}, {"ref": "tscheung/lb-0-855-upvote-the-example-of-ensemble", "kernel_id": "30115221"}, {"ref": "pybeast/msci-eda", "kernel_id": "30185509"}, {"ref": "tamaryo/lb-0-807-citeseq-tabnet-baseline", "kernel_id": "30265055"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "nigani/mean-target-solution", "kernel_id": "30371371"}, {"ref": "geraseva/magic-feature-selection", "kernel_id": "30050488"}, {"ref": "geraseva/denoised-parameters", "kernel_id": "30613856"}, {"ref": "miyawakiyoshifumi/multiome-data-compression", "kernel_id": "30051859"}, {"ref": "pourchot/all-in-one-citeseq-multiome-with-keras", "kernel_id": "30490788"}, {"ref": "norifumiirie/heatmap-of-multiome-data", "kernel_id": "30229638"}, {"ref": "norifumiirie/simple-submission-mean-by-gene-id-and-cell-type", "kernel_id": "30414990"}, {"ref": "royalacecat/lb-0-855-the-example-of-ensemble", "kernel_id": "30113630"}, {"ref": "kalininvladislav/eda-open-problems", "kernel_id": "30363147"}, {"ref": "ambrosm/msci-citeseq-keras-quickstart", "kernel_id": "30111558"}, {"ref": "fabiencrom/msci-multiome-torch-quickstart-w-sparse-tensors", "kernel_id": "30119098"}, {"ref": "fabiencrom/msci-multiome-torch-quickstart-submission", "kernel_id": "30120038"}, {"ref": "fabiencrom/multimodal-single-cell-creating-sparse-data", "kernel_id": "30001964"}, {"ref": "fabiencrom/msci-multiome-quickstart-w-sparse-matrices", "kernel_id": "30002032"}, {"ref": "fabiencrom/msci-correlations-eda-multiome", "kernel_id": "30283089"}, {"ref": "fabiencrom/msci-correlations-eda-citeseq", "kernel_id": "30307981"}, {"ref": "fabiencrom/msci-generating-all-correlations-inputs-targets", "kernel_id": "30305000"}, {"ref": "xiafire/fork-of-msci-multiome-randomsampling-sp-6b182b", "kernel_id": "30205283"}, {"ref": "xiafire/lb-t15-msci-multiome-catboostregressor", "kernel_id": "30229318"}, {"ref": "xiafire/msci-multiome-randomsampling-sparse-matrices", "kernel_id": "30136736"}, {"ref": "xiafire/msci-multiome-5-steps-x-5-folds-25-models", "kernel_id": "30348155"}, {"ref": "juliarymuza/notebook6d95a9efe1", "kernel_id": "30025641"}, {"ref": "kaggledummie007/cite-keras-optuna", "kernel_id": "30444463"}, {"ref": "leohash/feature-feature-generation", "kernel_id": "30175097"}, {"ref": "leohash/cell-feature-generation", "kernel_id": "30048274"}, {"ref": "usamabalochhh/single-cell-integration-explore-data", "kernel_id": "30901289"}, {"ref": "sautiksamui/multimodal-sinle-cell-integration", "kernel_id": "30310138"}, {"ref": "viictte/data-process", "kernel_id": "30659192"}, {"ref": "viictte/pytorch-multi", "kernel_id": "30661278"}, {"ref": "viictte/pytorch-cite", "kernel_id": "30660630"}, {"ref": "konomuabe/eda-multiome-targets", "kernel_id": "30380340"}, {"ref": "konomuabe/eda-citeseq-correlation-heatmap", "kernel_id": "30408808"}, {"ref": "konomuabe/comparing-submission-file-creation-method", "kernel_id": "30247044"}, {"ref": "konomuabe/eda-citeseq-protein-levels-donor-day-dependency", "kernel_id": "30224716"}, {"ref": "konomuabe/average-of-gene-id-and-day", "kernel_id": "30042569"}, {"ref": "jsmithperera/citeseq-keras-multiome-5x5", "kernel_id": "31009543"}, {"ref": "user327934/mmscel-crossvalidation-schemes", "kernel_id": "31380396"}, {"ref": "user327934/mmscel-crossvalidation-schemes-with-boosting", "kernel_id": "31539298"}, {"ref": "user327934/mmscel-cv-modeling-with-playground-lgbm-opt", "kernel_id": "31831596"}, {"ref": "tttzof351/mmscel-crossvalidation-schemes", "kernel_id": "31791131"}, {"ref": "tttzof351/mmscel-crossvalidation-schemes-193f49", "kernel_id": "31824070"}, {"ref": "kirkdco/msci-multiome-sparse-datasets", "kernel_id": "31106898"}, {"ref": "artemfedorov/eda-notebook", "kernel_id": "31420208"}, {"ref": "yaroshenko/mmscel-crossvalidation-schemes", "kernel_id": "31661239"}, {"ref": "yaroshenko/mmscel-cv-modeling-with-playground-fold", "kernel_id": "31875674"}, {"ref": "asimandia/blending-of-two-inputs-model-and-ridge-e64c61", "kernel_id": "31670345"}, {"ref": "asimandia/mmscel-crossvalidation-schemes-inference", "kernel_id": "31621995"}, {"ref": "asimandia/mmscel-crossvalidation-schemes", "kernel_id": "31545446"}, {"ref": "asimandia/transformers-for-genes", "kernel_id": "31572563"}, {"ref": "asimandia/mmscel-crossvalidation-schemes-sim-featur-26bc84", "kernel_id": "31832636"}, {"ref": "bejeweled/mmscel-hypopt-cb-with-playground-fold", "kernel_id": "31832329"}, {"ref": "bejeweled/mmscel-all-targs-modeling-playground-fold", "kernel_id": "31872774"}, {"ref": "bejeweled/mmscel-citeseq-targets-eda", "kernel_id": "31888241"}, {"ref": "bejeweled/mmscel-crossvalidation-schemes", "kernel_id": "31764690"}, {"ref": "bejeweled/mmscel-hypopt-lgb-with-playground-fold", "kernel_id": "31769514"}, {"ref": "bejeweled/siteseq-corr-feature-selection", "kernel_id": "31363575"}, {"ref": "astrik/mmscel-crossvalidation-schemes", "kernel_id": "31707180"}, {"ref": "alexandervc/mmscel-meta-information-citeseq", "kernel_id": "31186759"}, {"ref": "alexandervc/mmscel-feature-generation-by-dimreductions", "kernel_id": "31172401"}, {"ref": "alexandervc/mmscel-bio-motivated-feature-selection-citeseq", "kernel_id": "31040230"}, {"ref": "alexandervc/mmscel-cv-modeling-with-playground-fold", "kernel_id": "31736319"}, {"ref": "alexandervc/mmscel-cv-modeling-advanced", "kernel_id": "31993838"}, {"ref": "dmisky/mmscel-crossvalidation-schemes-v0-1", "kernel_id": "31374488"}, {"ref": "batprem/multiome-lgbtm-hardcore-0-1000", "kernel_id": "31105728"}, {"ref": "batprem/multiome-lgbtm-hardcore-1000-2000", "kernel_id": "31105869"}, {"ref": "batprem/multiome-lgbtm-hardcore-5000-6000", "kernel_id": "31119129"}, {"ref": "batprem/multiome-lgbtm-hardcore-6000-7000", "kernel_id": "31119187"}, {"ref": "batprem/multiome-lgbtm-hardcore-7000-8000", "kernel_id": "31119212"}, {"ref": "batprem/multiome-lgbtm-hardcore-8000-9000", "kernel_id": "31119320"}, {"ref": "batprem/multiome-lgbtm-hardcore-9000-10000", "kernel_id": "31119346"}, {"ref": "batprem/multiome-lgbtm-hardcore-2000-3000", "kernel_id": "31115312"}, {"ref": "batprem/multiome-lgbtm-hardcore-3000-4000", "kernel_id": "31115502"}, {"ref": "batprem/multiome-lgbtm-hardcore-4000-5000", "kernel_id": "31115547"}, {"ref": "batprem/multiome-lgbtm-hardcore-12000-13000", "kernel_id": "31136578"}, {"ref": "batprem/multiome-lgbtm-hardcore-13000-14000", "kernel_id": "31136613"}, {"ref": "batprem/multiome-lgbtm-hardcore-14000-15000", "kernel_id": "31136662"}, {"ref": "batprem/multiome-lgbtm-hardcore-15000-16000", "kernel_id": "31136766"}, {"ref": "batprem/multiome-lgbtm-hardcore-16000-17000", "kernel_id": "31136866"}, {"ref": "batprem/multiome-lgbtm-hardcore-10000-11000", "kernel_id": "31136509"}, {"ref": "batprem/multiome-lgbtm-hardcore-11000-12000", "kernel_id": "31136545"}, {"ref": "batprem/multiome-lgbtm-hardcore-18000-19000", "kernel_id": "31139607"}, {"ref": "batprem/multiome-lgbtm-hardcore-17000-18000", "kernel_id": "31138969"}, {"ref": "batprem/lgbm-hardcore-ensemble-lower-12000", "kernel_id": "31181333"}, {"ref": "batprem/multiome-lgbtm-hardcore-22000-23000", "kernel_id": "31149366"}, {"ref": "batprem/multiome-lgbtm-hardcore-23000-23418", "kernel_id": "31149389"}, {"ref": "batprem/multiome-lgbtm-hardcore-19000-20000", "kernel_id": "31149205"}, {"ref": "batprem/multiome-lgbtm-hardcore-20000-21000", "kernel_id": "31149246"}, {"ref": "batprem/multiome-lgbtm-hardcore-21000-22000", "kernel_id": "31149305"}, {"ref": "batprem/lgbm-hardcore-ensemble-higher-12000", "kernel_id": "31188794"}, {"ref": "batprem/gb-of-mean-fork-of-msci-multiome-tf", "kernel_id": "31647104"}, {"ref": "batprem/10-of-cite-tf-keras-parallel-co", "kernel_id": "31903824"}, {"ref": "batprem/fork-of-mean-fork-of-msci-multiome-tf-k-263085", "kernel_id": "31809554"}, {"ref": "yoshifumimiya/relationship-between-the-two-targets", "kernel_id": "31767641"}, {"ref": "yoshifumimiya/citeseq-target-analysis-wgcna", "kernel_id": "31859445"}, {"ref": "yoshifumimiya/citeseq-target-analysis-blom-function", "kernel_id": "31929341"}, {"ref": "tavoglc/single-cell-dimensionality-reduction-with-vaes", "kernel_id": "31816187"}, {"ref": "hiramcho/citeseq-multiome-with-keras-mixture-of-experts", "kernel_id": "31812934"}, {"ref": "mpwolke/proteins-rna-leidenalg-scanpy", "kernel_id": "31977410"}, {"ref": "claptar/mmscel-crossvalidation-schemes", "kernel_id": "31395840"}, {"ref": "visualcomments/mmscel-crossvalidation-schemes-sim-features", "kernel_id": "31542783"}, {"ref": "visualcomments/mmscel-crossvalidation-schemes", "kernel_id": "31745145"}, {"ref": "visualcomments/mmscel-crossvalidation-schemes-features-select", "kernel_id": "31887101"}, {"ref": "yanasem/mmscel-crossvalidation-schemes-sim-featur-26bc84", "kernel_id": "31961098"}, {"ref": "olegzakh/converting-mlt-target-data-into-a-frequency-matrix", "kernel_id": "31596876"}, {"ref": "anigrigor/mmscel-crossvalidation-schemes", "kernel_id": "31382919"}, {"ref": "saraswatitiwari/single-cell-analysis", "kernel_id": "31955230"}, {"ref": "arteziak/mmscel-crossvalidation-schemes", "kernel_id": "31703984"}, {"ref": "shivanshuman/lgbm-baseline-msci-citeseq", "kernel_id": "31296043"}, {"ref": "mehrankazeminia/3-5-msci22-baseline-separate-models-citeseq", "kernel_id": "31121400"}, {"ref": "mehrankazeminia/4-5-msci22-baseline-knn-model-citeseq", "kernel_id": "31383252"}, {"ref": "mehrankazeminia/5-5-msci22-ensembling-citeseq", "kernel_id": "31397131"}, {"ref": "hnthnt/multiome-5-x-5-krr", "kernel_id": "31387241"}, {"ref": "hnthnt/multiome-cite-catboostregressor", "kernel_id": "31892912"}, {"ref": "llttyy/calculate-the-gene-activity-score-of-multiome-data", "kernel_id": "31894671"}, {"ref": "jessicajones13/mmscel-som-try", "kernel_id": "31671307"}, {"ref": "geraseva/cd-transcripts-visual-analysis-eda", "kernel_id": "31227577"}, {"ref": "geraseva/magic-correlation", "kernel_id": "31239987"}, {"ref": "geraseva/mmscel-dca-features-load-example-cell-cycle", "kernel_id": "31499484"}, {"ref": "geraseva/add-barcodes-to-dataset", "kernel_id": "31800273"}, {"ref": "geraseva/mmscel-knnregressor", "kernel_id": "31655330"}, {"ref": "geraseva/mmscel-cv-modeling-with-playground-fold-dart", "kernel_id": "31895573"}, {"ref": "ergardtalice/mmscel-crossvalidation-schemes", "kernel_id": "31686396"}, {"ref": "andreylalaley/cite-seq-with-de", "kernel_id": "31761299"}, {"ref": "andreylalaley/blending-of-two-inputs-model-and-ridge", "kernel_id": "31633047"}, {"ref": "andreylalaley/citeseq-keras-with-cv-multiome-5x5", "kernel_id": "31349551"}, {"ref": "andreylalaley/model-two-inputs-cite-search-for-inputs", "kernel_id": "31503603"}, {"ref": "marijabruttan/mmscel-crossval-ridge", "kernel_id": "31780036"}, {"ref": "marijabruttan/mmscel-cv-modeling-lbg-multioutput", "kernel_id": "31826296"}, {"ref": "grac2h5/mmscel-crossvalidation-schemes", "kernel_id": "31363390"}, {"ref": "alexanderkalmykov/mmscel-crossvalidation-schemes", "kernel_id": "31554454"}, {"ref": "dimagromyko/gse148127-lasso-engineering", "kernel_id": "31776700"}, {"ref": "songqizhou/private-29th-public-4th-s-basical-single-model-nn", "kernel_id": "31447398"}, {"ref": "kaggledummie007/cite-targets-visual-analysis-eda", "kernel_id": "31160926"}, {"ref": "kaggledummie007/cite-targets-vs-features-correlation", "kernel_id": "31128583"}, {"ref": "kaggledummie007/cite-pca-feature-importance", "kernel_id": "31961372"}, {"ref": "kiranmayivedantham/msci-citeseq-quickstart", "kernel_id": "31712456"}, {"ref": "evgen8323/mmscel-crossvalidation-schemes", "kernel_id": "31692573"}, {"ref": "bobfromjapan/msci-merging-submission", "kernel_id": "31313865"}, {"ref": "alekse1pakhomov/mmscel-magic-features-load-example-cell-cycle", "kernel_id": "31392292"}, {"ref": "alekse1pakhomov/mmscel-magic-features-load-example-cell-615666", "kernel_id": "31397894"}, {"ref": "alekse1pakhomov/mmscel-cv-modeling-with-playground-fold", "kernel_id": "31904349"}, {"ref": "stasborodynkin/mmscel-crossvalidation-schemes-kernelridge", "kernel_id": "31612503"}, {"ref": "stasborodynkin/citeseq-keras-with-cv-multiome-5x5-f680a9", "kernel_id": "31773437"}, {"ref": "stasborodynkin/mmscel-crossvalidation-schemes-elastic", "kernel_id": "31732502"}, {"ref": "stasborodynkin/fork-of-mmscel-crossvalidation-schemes-multiext", "kernel_id": "31708069"}, {"ref": "stasborodynkin/fork-of-mmscel-crossvalidation-schemes-multio", "kernel_id": "31687412"}, {"ref": "stasborodynkin/mmscel-feature-generation-by-dimreductio-stan", "kernel_id": "31408625"}, {"ref": "stasborodynkin/use-h5py-for-huge-h5-file-backing-it-on-disk", "kernel_id": "31468948"}, {"ref": "stasborodynkin/mmscel-cv-modeling-with-playground-3790-feat", "kernel_id": "31930567"}, {"ref": "dianapoplacenel/diana-baseline-graph", "kernel_id": "31759318"}, {"ref": "tefvodo/mmscel-bio-motivated-feature-selection-citeseq", "kernel_id": "31345842"}, {"ref": "insiyajafferji/cite-seq-data-analysis-exploration", "kernel_id": "31334058"}, {"ref": "insiyajafferji/cite-seq-data-rna-protein-correlations-trajectory", "kernel_id": "31366875"}, {"ref": "shengzn/szn-openproblems-dataprocess2", "kernel_id": "31850295"}, {"ref": "qqzzxxdd/cite-5th-solution-lgbm-training", "kernel_id": "31446286"}, {"ref": "ovefrlow/final-template", "kernel_id": "31991830"}, {"ref": "lizabogdan/mmscel-crossvalidation-schemes", "kernel_id": "31732431"}, {"ref": "lizabogdan/mmscel-bio-motivated-feature-selection-citeseq", "kernel_id": "31932682"}, {"ref": "hangkaiyou/multiome-with-keras-ensemble", "kernel_id": "31111523"}, {"ref": "annanparfenenkova/ridge-with-reactome-features", "kernel_id": "31331510"}, {"ref": "annanparfenenkova/magic-dataset-with-pathways-or-families-of-genes", "kernel_id": "31544907"}, {"ref": "annanparfenenkova/enrichment-analysis", "kernel_id": "31799836"}, {"ref": "dariaborodko/mmscel-load-example-cell-cycle", "kernel_id": "31595169"}, {"ref": "dariaborodko/mmscel-bio-motivated-feature-selection-citeseq", "kernel_id": "31596213"}, {"ref": "cosjo11/mmscel-bio-motivated-feature-selection-citeseq", "kernel_id": "31671425"}, {"ref": "cosjo11/fork-of-mmscel-bio-motivated-feature-selection-c", "kernel_id": "31927667"}, {"ref": "kirillpetrikov/mmscel-dca-features-load-example-cell-cycle", "kernel_id": "31595880"}, {"ref": "kirillpetrikov/mmscel-crossvalidation-schemes", "kernel_id": "31599140"}, {"ref": "nastyakiryak/mmscel-dca-features-load-example-cell-cycle-v", "kernel_id": "31598356"}, {"ref": "nastyakiryak/mmscel-crossvalidation-schemes-v", "kernel_id": "31599305"}, {"ref": "leonidafanasev/mmscel-linermodel", "kernel_id": "31671848"}, {"ref": "leonidafanasev/preprocessing-open-problems-multimodal", "kernel_id": "31981997"}, {"ref": "sonyagrey/mmscel-crossvalidation-schemes", "kernel_id": "31909592"}, {"ref": "sannav/mmscel-crossvalidation-schemes-2aa986", "kernel_id": "31930331"}, {"ref": "sannav/mmscel-apoptotic-genes-analyse", "kernel_id": "31957946"}, {"ref": "evgenibikov/mmscel-crossvalidation-schemes-eb", "kernel_id": "31796416"}, {"ref": "evgenibikov/mmscel-cv-modeling-with-playground-fold-eb", "kernel_id": "31798427"}, {"ref": "lsinev/mmscel-cv-modeling-catboost-tuned", "kernel_id": "32102740"}, {"ref": "paragkale/private-14th-public-6th-multiome-portion", "kernel_id": "32385881"}, {"ref": "mhyodo/w2v-feature-sample", "kernel_id": "32412740"}, {"ref": "tttzof351/msci-cite-feature-importance", "kernel_id": "32684632"}, {"ref": "hydrophonyx/mmscel-crossvalidation-schemes", "kernel_id": "32005973"}, {"ref": "hydrophonyx/mmscel-cv-modeling-with-playground-fold", "kernel_id": "32014456"}, {"ref": "hydrophonyx/mmscel-cv-modeling-with-playground-fold-9a4d3a", "kernel_id": "32054678"}, {"ref": "hydrophonyx/mmscel-cv-modeling-with-playground-fold-fd491e", "kernel_id": "32053401"}, {"ref": "senkin13/2nd-place-gru-cite", "kernel_id": "32350408"}, {"ref": "yaroshenko/fork-of-mmscel-crossvalidation-schemes", "kernel_id": "32021137"}, {"ref": "asimandia/mmscel-blend", "kernel_id": "32261112"}, {"ref": "asimandia/fork-of-mmscel-crossvalidation-schemes-si-7d9968", "kernel_id": "32016330"}, {"ref": "asimandia/lb-0-807-citeseq-tabnet-baseline", "kernel_id": "32044058"}, {"ref": "bejeweled/2nd-place-cite-2d-cnn", "kernel_id": "32448326"}, {"ref": "bejeweled/rotate-2nd-place-cite-2d-cnn", "kernel_id": "32462348"}, {"ref": "bejeweled/rotate-xy-2nd-place-cite-2d-cnn", "kernel_id": "32462391"}, {"ref": "bejeweled/flip-2nd-place-cite-2d-cnn", "kernel_id": "32462272"}, {"ref": "bejeweled/citeseq-sklearn-cells-feature-shop", "kernel_id": "32209137"}, {"ref": "natsyst/mmscel-crossvalidation-schemes", "kernel_id": "32519562"}, {"ref": "alexandervc/mmscel-blend-analysis", "kernel_id": "32332677"}, {"ref": "alexandervc/mmscel-blend", "kernel_id": "32233416"}, {"ref": "alexandervc/mmscel-blend-submit", "kernel_id": "32243584"}, {"ref": "batprem/fork-of-new-ensemble-049059", "kernel_id": "32345378"}, {"ref": "batprem/binary-of-msci-multiome-tf-keras-b72143", "kernel_id": "32079370"}, {"ref": "sankkan/mmscel-crossvalidation-schemes", "kernel_id": "32120969"}, {"ref": "oliverwang15/4th-solution-cite-stacking-train", "kernel_id": "32491700"}, {"ref": "oliverwang15/4th-solution-cite-multioutputlgbm", "kernel_id": "32496648"}, {"ref": "oliverwang15/4th-solution-cite-stacking-predict", "kernel_id": "32520102"}, {"ref": "oliverwang15/4th-solution-cite-gmnn", "kernel_id": "32455853"}, {"ref": "oliverwang15/4th-solution-ensemble", "kernel_id": "32458418"}, {"ref": "oliverwang15/4th-solution-cite-ray-tune-krr", "kernel_id": "32466988"}, {"ref": "yoshifumimiya/citeseq-target-analysis-anova-vol-2", "kernel_id": "32003927"}, {"ref": "tavoglc/single-cell-vaes-with-kmers", "kernel_id": "32384425"}, {"ref": "tavoglc/multimodal-single-cell-integration-inference", "kernel_id": "32352341"}, {"ref": "takanashihumbert/binarized-data-for-multiome-part", "kernel_id": "32053843"}, {"ref": "visualcomments/cd-ppi-sim-corr", "kernel_id": "32949910"}, {"ref": "niramay/multimodel-single-cell-integration", "kernel_id": "32396830"}, {"ref": "josecarmona/op-msci-2022-graphical-recap", "kernel_id": "32505889"}, {"ref": "ridwanultanvir/g2net-mmscel-cv-scheme", "kernel_id": "32118090"}, {"ref": "ridwanultanvir/multimodal-single-cell-cross-validation", "kernel_id": "32139283"}, {"ref": "mariaminaeva/mmscel-crossvalidation-schemes", "kernel_id": "32977562"}, {"ref": "llttyy/open-problem-biological-ideas", "kernel_id": "32406605"}, {"ref": "jessicajones13/analys-cd-cell-type", "kernel_id": "32979792"}, {"ref": "geraseva/cell-cycle-markers-in-the-atac-seq-data", "kernel_id": "32846998"}, {"ref": "pzarzycki/opm-multi-cite-simple-mlp-models", "kernel_id": "32789719"}, {"ref": "ambrosm/msci-citeseq-preprocessing-variants", "kernel_id": "32757593"}, {"ref": "ambrosm/msci-multiome-time-aspect-2", "kernel_id": "32947772"}, {"ref": "alexeyshmelev/all-in-one-citeseq-multiome-with-keras", "kernel_id": "32016159"}, {"ref": "alexandrgusev/mmscel-crossvalidation-schemes", "kernel_id": "32095656"}, {"ref": "kaggledummie007/msci-eda-score-weights-of-cite-multi", "kernel_id": "32105052"}, {"ref": "kaggledummie007/lesson-how-to-overfit-on-public-lb", "kernel_id": "32425020"}, {"ref": "analyticsbiotech/extremely-simple-randomforestregress-for-cite-data", "kernel_id": "32787840"}, {"ref": "evgen8323/mmscel-cv-modeling-advanced", "kernel_id": "32071196"}, {"ref": "evgen8323/mmscel-cv-modeling-with-playground-fold", "kernel_id": "32040861"}, {"ref": "stasborodynkin/importance-by-boostingaroota", "kernel_id": "32890177"}, {"ref": "stasborodynkin/mmscel-cv-modeling-advanced", "kernel_id": "32257961"}, {"ref": "dianapoplacenel/msci-multiome-quickstart-9128bb", "kernel_id": "32110983"}, {"ref": "dinah3906/blending-of-five-submission", "kernel_id": "32069669"}, {"ref": "dinah3906/fork-of-msci-multiome-randomsampling-sp-6b182b", "kernel_id": "32071065"}, {"ref": "insiyajafferji/all-protein-associated-rna-markerscorrelation-cite", "kernel_id": "32101692"}, {"ref": "insiyajafferji/cite-trainingset-scanpy-marker-expression", "kernel_id": "32067662"}, {"ref": "qqzzxxdd/cite-5th-solution-mlp-training-part-1", "kernel_id": "32430669"}, {"ref": "qqzzxxdd/cite-5th-solution-data-preprocessing", "kernel_id": "32427499"}, {"ref": "qqzzxxdd/5th-solution-ensemble", "kernel_id": "32439352"}, {"ref": "qqzzxxdd/multi-5th-solution-mlp-and-1d-cnn-model", "kernel_id": "32438309"}, {"ref": "qqzzxxdd/multi-5th-solution-data-preprocessing", "kernel_id": "32437658"}, {"ref": "lcbupt/notebook152a49ec8c", "kernel_id": "32024367"}, {"ref": "kseniyapetrova/cite-embeddings-w2v", "kernel_id": "32763356"}, {"ref": "kseniyapetrova/cite-hvg", "kernel_id": "32241873"}, {"ref": "lizabogdan/mmscel-genes-eda", "kernel_id": "32980947"}, {"ref": "lizabogdan/mmscel-bio-motivated-feature-selection-rna", "kernel_id": "32057473"}, {"ref": "initializerz/msci-citeseq-keras", "kernel_id": "32117189"}, {"ref": "sannav/mmscel-cv-modeling-with-lasso-regression", "kernel_id": "32017181"}, {"ref": "sannav/mmscel-lasso-3790-features", "kernel_id": "32088147"}, {"ref": "sannav/mmscel-lasso-with-different-features", "kernel_id": "32074611"}, {"ref": "ligaoy/all-in-one-citeseq-multiome-with-keras", "kernel_id": "32316693"}, {"ref": "antoninadolgorukova/fork-of-mmscel-corr-analysis-with-r", "kernel_id": "32740185"}, {"ref": "antoninadolgorukova/mmscel-protein-analysis", "kernel_id": "32743879"}, {"ref": "antoninadolgorukova/cd-top100-rna-intersections-expression", "kernel_id": "32924108"}, {"ref": "antoninadolgorukova/prot-rna-corr-analysis-for-2-citeseq-datasets", "kernel_id": "32449519"}, {"ref": "antoninadolgorukova/mmscel-basic-analysis-with-seurat", "kernel_id": "32002861"}, {"ref": "arinatsvetkova/mmscel-crossvalidation-schemes", "kernel_id": "32005576"}, {"ref": "dvmodeler/silver-place-post-processing-transform", "kernel_id": "33072706"}, {"ref": "tttzof351/msci-hsc-cv", "kernel_id": "33736609"}, {"ref": "tttzof351/msci-feature-importance-description", "kernel_id": "33439488"}, {"ref": "alexandervc/mmscel-genes-enrichment-gseapy-examples-01", "kernel_id": "33808339"}, {"ref": "alexandervc/mmscel-correlations-cd-vs-rna-v2", "kernel_id": "33717716"}, {"ref": "alexandervc/mmscel-cd-genes-information", "kernel_id": "33593416"}, {"ref": "alexandervc/mmscel-models-for-cds", "kernel_id": "33591787"}, {"ref": "alexandervc/mmscel-starter-citeseq", "kernel_id": "33573665"}, {"ref": "alexandervc/mmscel-starter-citeseq-look-on-selected-genes", "kernel_id": "33575872"}, {"ref": "alexandervc/mmscel-correlations-cd-vs-rna", "kernel_id": "33674173"}, {"ref": "alexandervc/mmscel-feature-importance-02-lasso", "kernel_id": "33950299"}, {"ref": "alexandervc/mmscel-feature-importance-01-ridge", "kernel_id": "33938865"}, {"ref": "alexandervc/mmscel-genes-groups-by-name", "kernel_id": "33347000"}, {"ref": "alexandervc/cd-names-to-ensembl-symbol-names-correspondence", "kernel_id": "33438725"}, {"ref": "alexandervc/simple-models-for-cds", "kernel_id": "33409660"}, {"ref": "alexandervc/genes-entrez-ensembl-symbol-correspondence", "kernel_id": "33520130"}, {"ref": "alexandervc/silogram-cd36-feature-importances", "kernel_id": "33130069"}, {"ref": "oliverwang15/4th-solution-cite-online-nn", "kernel_id": "33057275"}, {"ref": "yoshifumimiya/simple-models-for-cds-all-proteins", "kernel_id": "33416849"}, {"ref": "visualcomments/from-query-to-graph", "kernel_id": "33217392"}, {"ref": "visualcomments/sim-ppi-corr-output", "kernel_id": "33006016"}, {"ref": "satyanarayanam/simple-models-for-cds", "kernel_id": "33573489"}, {"ref": "mariaminaeva/cite-hvg", "kernel_id": "33205349"}, {"ref": "jessicajones13/rocauc-for-rna-and-ct-full", "kernel_id": "33180420"}, {"ref": "jessicajones13/rocauc-for-rna-and-ct-112", "kernel_id": "33158089"}, {"ref": "jessicajones13/intersection-auc-rna-cd", "kernel_id": "33186297"}, {"ref": "jessicajones13/rocauc-for-rna-and-ct", "kernel_id": "33101612"}, {"ref": "andreylalaley/1simple-models-for-cds-on-nips21", "kernel_id": "33834500"}, {"ref": "andreylalaley/cell-type-by-rna-important-features", "kernel_id": "33357563"}, {"ref": "andreylalaley/cell-type-by-cite-important-features", "kernel_id": "33223130"}, {"ref": "dimagromyko/spearman-gse148127", "kernel_id": "33540155"}, {"ref": "dreamtim1/cite-differential-expression", "kernel_id": "33300520"}, {"ref": "mohamedsameh2000/dl-project", "kernel_id": "33855541"}, {"ref": "alekse1pakhomov/multimodal-singlecell-correlation", "kernel_id": "33004052"}, {"ref": "insiyajafferji/cite-marker-explore-single-cell-decision-trees", "kernel_id": "33595897"}, {"ref": "insiyajafferji/cellular-population-dynamics-in-cite-seq", "kernel_id": "33621601"}, {"ref": "kseniyapetrova/cite-match-prot-vs-rna", "kernel_id": "33382867"}, {"ref": "kseniyapetrova/cite-prot-vs-rna", "kernel_id": "33386658"}, {"ref": "kseniyapetrova/cite-differential-expression", "kernel_id": "33175794"}, {"ref": "kseniyapetrova/cite-targets-exploration", "kernel_id": "33084865"}, {"ref": "sonyagrey/simple-models-for-cds-part1", "kernel_id": "33835630"}, {"ref": "sonyagrey/simple-models-for-cds2", "kernel_id": "33714319"}, {"ref": "sonyagrey/ridge-model-for-cd36", "kernel_id": "33239645"}, {"ref": "sonyagrey/simple-models-for-cds", "kernel_id": "33466264"}, {"ref": "sannav/mmscel-type-cells", "kernel_id": "33009126"}, {"ref": "sannav/mmscel-cell-type", "kernel_id": "33704970"}, {"ref": "antoninadolgorukova/mmscel-importat-proteins", "kernel_id": "33242546"}, {"ref": "antoninadolgorukova/cd36-protein-rna-corr-intersect-visualization", "kernel_id": "33160959"}, {"ref": "antoninadolgorukova/interesting-rna-in-2-citeseq-datasets", "kernel_id": "33049316"}, {"ref": "antoninadolgorukova/cd-proteins-rna-corr-expression-dropouts", "kernel_id": "33050508"}, {"ref": "kolosovanatoliy/silogram-fi-182k-records", "kernel_id": "33328563"}, {"ref": "kolosovanatoliy/pearson-spearman-corr-cd-all-with-rna", "kernel_id": "33946622"}, {"ref": "lnalinaf/mmscel-crossvalidation-schemes", "kernel_id": "33000739"}, {"ref": "tttzof351/msci-lgbm-abs-runge-kutta", "kernel_id": "34383038"}, {"ref": "alexandervc/mmscel-feature-importance-03-univariable", "kernel_id": "34182514"}, {"ref": "alexandervc/mmscel-compare-feature-importances", "kernel_id": "34119344"}, {"ref": "alexandervc/mmscel-feature-importance-02b-lasso-all-targets", "kernel_id": "34090835"}, {"ref": "alexandervc/mmscel-feature-importance-02c-lasso", "kernel_id": "34328993"}, {"ref": "alexandervc/mmscel-feature-importance-03b-univar-all-target", "kernel_id": "34345539"}, {"ref": "alexandervc/mmscel-mutual-info-skfeature-look-and-reformat", "kernel_id": "34445209"}, {"ref": "mariaminaeva/masp-cells-correlation-analysis", "kernel_id": "34554501"}, {"ref": "jessicajones13/cd-rna-based-only-rna-50-60", "kernel_id": "34414479"}, {"ref": "jessicajones13/cd-rna-based-only-rna-10-20", "kernel_id": "34287672"}, {"ref": "jessicajones13/cd-rna-based-only-rna-20-30", "kernel_id": "34287836"}, {"ref": "jessicajones13/cd-rna-based-only-rna-30-40", "kernel_id": "34287904"}, {"ref": "jessicajones13/cd-rna-based-only-rna-40-50", "kernel_id": "34288251"}, {"ref": "jessicajones13/cd-rna-based-only-rna-60-70", "kernel_id": "34288380"}, {"ref": "jessicajones13/cd-rna-based-only-rna-70-80", "kernel_id": "34288458"}, {"ref": "jessicajones13/cd-rna-based-only-rna-100-110", "kernel_id": "34288617"}, {"ref": "jessicajones13/fork-of-cd-rna-based-only-rna-90-100", "kernel_id": "34288547"}, {"ref": "jessicajones13/cd-rna-based-only-rna-10", "kernel_id": "34215912"}, {"ref": "jessicajones13/fi-of-cd-rna-based-only-rna-30-40", "kernel_id": "34683988"}, {"ref": "geraseva/cite-mkp", "kernel_id": "34199539"}, {"ref": "dimagromyko/ananysis-of-lasso-and-korr-for-cd44", "kernel_id": "34233495"}, {"ref": "dimagromyko/mmscel-feature-importance-cd44-lasso", "kernel_id": "34021929"}, {"ref": "fauzanmohammed/explanatory-model-multimodal-single-cell-integrati", "kernel_id": "34195660"}, {"ref": "stasborodynkin/lgbm-fi-vs-lgbm-pca-inverese-transform", "kernel_id": "34346666"}, {"ref": "lizabogdan/cite-differential-expression", "kernel_id": "34316552"}, {"ref": "sonyagrey/mutual-information-sklearn", "kernel_id": "34978070"}, {"ref": "sonyagrey/rna-features-for-all-cd-2-2", "kernel_id": "34395832"}, {"ref": "sonyagrey/rna-features-for-all-cd-8", "kernel_id": "34275925"}, {"ref": "sonyagrey/rna-features-for-all-cd-9", "kernel_id": "34275953"}, {"ref": "sonyagrey/rna-features-for-all-cd-5", "kernel_id": "34275753"}, {"ref": "sonyagrey/rna-features-for-all-cd-6", "kernel_id": "34275788"}, {"ref": "sonyagrey/rna-features-for-all-cd-2-1-1", "kernel_id": "34274844"}, {"ref": "sonyagrey/rna-features-for-all-cd-1-1", "kernel_id": "34118854"}, {"ref": "antoninadolgorukova/mmscel-rna-corr-analysis", "kernel_id": "34594925"}, {"ref": "antoninadolgorukova/mmscel-normalization-methods", "kernel_id": "34164466"}, {"ref": "antoninadolgorukova/mmscel-pca-seurat-colored-by-cd-and-rna", "kernel_id": "34244186"}, {"ref": "antoninadolgorukova/mmscel-rna-corr-calculation", "kernel_id": "34558349"}, {"ref": "antoninadolgorukova/mmscel-pca-seurat-by-cd-correlated-rna", "kernel_id": "34315413"}, {"ref": "kolosovanatoliy/notebook9da4c4b40f", "kernel_id": "34316936"}, {"ref": "lnalinaf/sex-by-proteins-important-features-lasso", "kernel_id": "34514855"}, {"ref": "lnalinaf/cell-type-by-cite-important-features-lassocv", "kernel_id": "34031534"}, {"ref": "alange/lgbm-fi-vs-lgbm-pca-inverese-transform", "kernel_id": "35094344"}, {"ref": "tttzof351/fi-repeated-lgbm", "kernel_id": "35539371"}, {"ref": "tttzof351/fi-lgbm", "kernel_id": "35258633"}, {"ref": "alexandervc/many-citeseq-01-analyze-protein-data", "kernel_id": "35941119"}, {"ref": "alexandervc/many-citeseq-02-just-load-full-data", "kernel_id": "35986087"}, {"ref": "alexandervc/mmscel-cd-protein-clustering", "kernel_id": "35236146"}, {"ref": "visualcomments/multimodal-single-cell-clusters", "kernel_id": "35221803"}, {"ref": "antoninadolgorukova/mmscel-cd45-iso-go-enrichment", "kernel_id": "35994089"}, {"ref": "antoninadolgorukova/mmscel-difference-in-prot-rna-correlations-p1", "kernel_id": "35113552"}, {"ref": "lnalinaf/sex-by-rna-important-features-lasso", "kernel_id": "35287273"}, {"ref": "tttzof351/perm-importance-base", "kernel_id": "36158301"}, {"ref": "shitovvladimir/makotu-ablation-combine-cite", "kernel_id": "36335715"}, {"ref": "alexandervc/citeseq-nips22-featimport-for-cd32", "kernel_id": "36334873"}, {"ref": "alexandervc/many-citeseq-05-ligand-receptor-pairs", "kernel_id": "36414289"}, {"ref": "alexandervc/citeseqkagglenips2022-gender-affected-genes", "kernel_id": "36083580"}, {"ref": "alexandervc/many-citeseq-04-common-genes", "kernel_id": "36142281"}, {"ref": "matthieudagommer/tandem-genomics", "kernel_id": "36341111"}, {"ref": "fyp717983/fork-of-fyp-solution", "kernel_id": "36672993"}, {"ref": "antoninadolgorukova/cd45-reg-related-rna-in-2-citeseq-datasets", "kernel_id": "36941982"}, {"ref": "antoninadolgorukova/mmscel-cd45related-correlations-by-groups", "kernel_id": "36156531"}, {"ref": "antoninadolgorukova/mmscel-cd45related-pca-3d-gif", "kernel_id": "36379153"}, {"ref": "antoninadolgorukova/mmscel-cd36-go-enrichment", "kernel_id": "36302743"}, {"ref": "savinaekaterina/many-citeseq-05-ligand-receptor-pairs", "kernel_id": "36634381"}, {"ref": "lnalinaf/sex-by-rna-lr-c0-001", "kernel_id": "37220151"}, {"ref": "lnalinaf/sex-by-rna-lr-c0-1", "kernel_id": "37493453"}, {"ref": "lnalinaf/sex-by-rna-lr-c1", "kernel_id": "37493577"}, {"ref": "lnalinaf/sex-by-rna-lr-c10", "kernel_id": "37493620"}, {"ref": "lnalinaf/sex-by-rna-lr-c100", "kernel_id": "37493665"}, {"ref": "lnalinaf/sex-by-rna-lr-c0-01", "kernel_id": "37493113"}, {"ref": "mariaminaeva/ridgereg-with-expression-features", "kernel_id": "38595212"}, {"ref": "antoninadolgorukova/op2-adata-analysis-with-seurat", "kernel_id": "44691230"}, {"ref": "shitovvladimir/2nd-place-gru-cite", "kernel_id": "50605503"}, {"ref": "bibitwaluyoaji/multimodal-single-cell", "kernel_id": "58961212"}, {"ref": "shitovvladimir/2nd-place-gru-cite-ablation", "kernel_id": "59903103"}, {"ref": "termitorous/multimodal-single-cell-bibit-aji", "kernel_id": "60059610"}, {"ref": "letitiacowell/alexandria-competition-open-problems-mult-251813", "kernel_id": "100582874"}, {"ref": "yassirdev1/multimodal-sc-integration-meta-resources", "kernel_id": "122004264"}, {"ref": "keshavpande/notebook614d250355", "kernel_id": "124542919"}, {"ref": "kimkiyeont/open-problems-multimodal-single-cell-integration", "kernel_id": "134730258"}]}
{"competition_id": "38137", "kernels": [{"ref": "aadyac/datathon", "kernel_id": "29732512"}, {"ref": "aakashveera/indo-ml-eda", "kernel_id": "30195911"}, {"ref": "kshitijmohan/datathon-model-train", "kernel_id": "30658322"}, {"ref": "kshitijmohan/datathon-dataset", "kernel_id": "30657039"}, {"ref": "mohitkarelia/datathon-v1", "kernel_id": "30468399"}, {"ref": "mrinmoybanik/notebook69113e10bb", "kernel_id": "30684872"}, {"ref": "priyanshisharma142/notebook73abfb6071", "kernel_id": "30765879"}, {"ref": "bhomickaushikgj/datathon", "kernel_id": "30078572"}, {"ref": "kishanpahadiya/image-clssification-datathon-vgg16-l", "kernel_id": "30976413"}, {"ref": "kshitijmohan/datathon-model-inference", "kernel_id": "31067543"}, {"ref": "alankalex/kaggle-indo-ml-ver-2", "kernel_id": "31042224"}, {"ref": "drondasgupta/datathon-indoml-2022", "kernel_id": "31006250"}, {"ref": "yadukrishnan2002/indoml-datathon-kaggle", "kernel_id": "31042252"}, {"ref": "varshayesh/eda-dataset", "kernel_id": "31059829"}, {"ref": "vizalv/tests", "kernel_id": "31042615"}, {"ref": "aanakakroo/datathon-submission", "kernel_id": "32529135"}, {"ref": "yokeshwarang/notebook0c43ff1e3b", "kernel_id": "32330408"}, {"ref": "saravanan3011/notebookf560026cd7", "kernel_id": "32329340"}, {"ref": "saravanan3011/notebook5a769422b7", "kernel_id": "32331103"}, {"ref": "nicyscaria22/docclassification-cnn", "kernel_id": "33031532"}]}
{"competition_id": "38142", "kernels": []}
{"competition_id": "38151", "kernels": []}
{"competition_id": "38158", "kernels": [{"ref": "towardsentropy/simple-fingerprint-baseline", "kernel_id": "30631758"}, {"ref": "cedben/euos-solubility-vs-aid1996-solubility", "kernel_id": "30583296"}, {"ref": "osmanf/wip-help-me-deepchem-smiles2vec-model", "kernel_id": "30837285"}, {"ref": "davidoloren/getting-score-0-11353-multi-representation-model", "kernel_id": "30672408"}, {"ref": "mihaskalic/graph-convolutions-with-dgl-lifesci-starter-code", "kernel_id": "31186548"}, {"ref": "osmanf/huggingface-trainer", "kernel_id": "31389752"}, {"ref": "bernhardrohde/plate-row-column-model-with-clogp-for-solubility", "kernel_id": "34153269"}, {"ref": "mrmanic/automl-with-flaml", "kernel_id": "35307542"}]}
{"competition_id": "38169", "kernels": []}
{"competition_id": "38172", "kernels": [{"ref": "supernoob/label-encoder-example", "kernel_id": "29531002"}, {"ref": "supernoob/a-a-a", "kernel_id": "29624872"}, {"ref": "supernoob/xgboost-example-3", "kernel_id": "29625680"}]}
{"competition_id": "38186", "kernels": []}
{"competition_id": "38190", "kernels": []}
{"competition_id": "38195", "kernels": [{"ref": "yagli18/classification-of-animal-action", "kernel_id": "29995948"}]}
{"competition_id": "38201", "kernels": []}
{"competition_id": "38238", "kernels": []}
{"competition_id": "38257", "kernels": [{"ref": "sohier/mean-angular-error", "kernel_id": "30714218"}, {"ref": "jmarinero/icecube-partially-load-a-subset-of-the-info", "kernel_id": "34692550"}, {"ref": "mmakhyanov/eda-and-first-look", "kernel_id": "34943773"}, {"ref": "subhasishsahu22/fly-like-duck-icecube", "kernel_id": "34835177"}, {"ref": "anjum48/icecube-build-wheels", "kernel_id": "34439575"}, {"ref": "anjum48/early-sharing-prize-dynedge-1-046", "kernel_id": "34444627"}, {"ref": "abuche/ice-neutri-n", "kernel_id": "34770913"}, {"ref": "solverworld/distribution-of-neutrino-arrival-directions", "kernel_id": "34753454"}, {"ref": "solverworld/icecube-picks-points-with-least-squares", "kernel_id": "34695563"}, {"ref": "solverworld/icecube-neutrino-path-least-squares-1-214", "kernel_id": "34507242"}, {"ref": "ernestglukhov/which-sensors-can-be-considered-dirty", "kernel_id": "34447155"}, {"ref": "astrung/make-embedding-sensor-data-by-pca", "kernel_id": "34389140"}, {"ref": "astrung/pcaembed-gpu-catboost-optuna-approach", "kernel_id": "34370989"}, {"ref": "pestipeti/animated-events-with-matplotlib", "kernel_id": "34461938"}, {"ref": "vshantam/icecube-neutrinos-in-deep-ice-eda", "kernel_id": "34304234"}, {"ref": "bowaka/icecube-simple-detector-of-muon-neutrino-type", "kernel_id": "34644708"}, {"ref": "tarique7/lightning-fast-baseline-parameters-impact-0-182", "kernel_id": "34582059"}, {"ref": "dschettler8845/ndi-let-s-learn-together-eli5-and-eda", "kernel_id": "34323435"}, {"ref": "ymatioun/icecube-plots-of-predictions", "kernel_id": "34476612"}, {"ref": "utm529fg/eng-icecube-eda-understanding-train-data", "kernel_id": "34461059"}, {"ref": "utm529fg/eng-featureengineering", "kernel_id": "34762337"}, {"ref": "kimtaehun/preprocess-modeling-idea", "kernel_id": "34308495"}, {"ref": "maciek97x/3d-line-fitting-chosing-dir-lb-1-26-1-193", "kernel_id": "34548151"}, {"ref": "cmbowen/icecube-neutrino-data-exploration", "kernel_id": "34418198"}, {"ref": "earyzhe/icecube-neutrinos-basic-pca-prediction", "kernel_id": "34796137"}, {"ref": "faelk8/neutrinos-in-deep-ice-3d-xgbregressor", "kernel_id": "34298749"}, {"ref": "mvvppp/icecube-neutrinos-domain-eda-for-ds-folks", "kernel_id": "34298663"}, {"ref": "mpwolke/icecube-neutrinos-pyarrow", "kernel_id": "34276314"}, {"ref": "jitshil143/eda-neutrinos-in-deep-ice-interaction", "kernel_id": "34473624"}, {"ref": "geokocha/eda-zero-of-icecube-neutrino-doms-array-online", "kernel_id": "34557436"}, {"ref": "marchworks/icecube-encoder-transformer", "kernel_id": "34522475"}, {"ref": "marchworks/icecube-data", "kernel_id": "34518523"}, {"ref": "kasuresh/icecube-neutrino-direction-challenge", "kernel_id": "34600065"}, {"ref": "gyozzza/icecube-event-graph-visualization", "kernel_id": "34745661"}, {"ref": "gyozzza/icecube-3d-time-plot-charge-plot", "kernel_id": "34285204"}, {"ref": "gyozzza/icecube-2d-linear-regression-in-z-x-and-z-y", "kernel_id": "34315212"}, {"ref": "dinowun/eda-simplified-icecube-neutrinos-in-deep-ice", "kernel_id": "34275520"}, {"ref": "saraswatitiwari/icecube-neutrinos", "kernel_id": "34611834"}, {"ref": "saraswatitiwari/icecube-neutrinos-in-deep-ice", "kernel_id": "34362585"}, {"ref": "hanatensor/icecube-eda-domain-and-data-exploration", "kernel_id": "34452284"}, {"ref": "rasmusrse/graphnet-example", "kernel_id": "34483939"}, {"ref": "rasmusrse/graphnet-baseline-submission", "kernel_id": "34679754"}, {"ref": "ridwanultanvir/icecube-extreme-gradient-boosting-supervised", "kernel_id": "34326679"}, {"ref": "shiftmark/data-feeder-per-event-id", "kernel_id": "34403901"}, {"ref": "jirkaborovec/icecube-neutrino-eda-3d-interactive-viewer", "kernel_id": "34281651"}, {"ref": "jirkaborovec/icecube-neutrino-fitting-3d-points-cloud", "kernel_id": "34368657"}, {"ref": "jirkaborovec/icecube-neutrino-baseline-xgboost-regression", "kernel_id": "34343408"}, {"ref": "jirkaborovec/icecube-visualize-azimuth-zenith", "kernel_id": "34470536"}, {"ref": "jirkaborovec/icecube-neutrino-fitting-3d-points-ransac", "kernel_id": "34524495"}, {"ref": "yoshikuwano/icecube-eda-and-domain-of-nuetrinos", "kernel_id": "34479533"}, {"ref": "yoshikuwano/icecube-spiral-string-sensor", "kernel_id": "34665537"}, {"ref": "munumbutt/icecube-3d-linear-regression-extended", "kernel_id": "34345182"}, {"ref": "domdejonge/graphnet-baseline-submission", "kernel_id": "34743204"}, {"ref": "seungmoklee/icecubedetectorgap", "kernel_id": "34868641"}, {"ref": "seungmoklee/lstm-azshift-w-gpu-w-npz", "kernel_id": "34683510"}, {"ref": "seungmoklee/3-lstms-with-data-picking-and-shifting", "kernel_id": "34692950"}, {"ref": "seungmoklee/lstm-preprocessing-point-picker", "kernel_id": "34649431"}, {"ref": "seungmoklee/lstm-w-gpu-w-npz", "kernel_id": "34649985"}, {"ref": "danielphalen/icecube-preferred-directions", "kernel_id": "34498967"}, {"ref": "hechtjp/icecube-quick-eda-with-polars", "kernel_id": "34961854"}, {"ref": "ashokkumargarain/notebook8354297f83", "kernel_id": "34435177"}, {"ref": "ashokkumargarain/notebookdfde74b794", "kernel_id": "34452270"}, {"ref": "asimple/eda-icecube", "kernel_id": "34470727"}, {"ref": "asimple/baseline-pattern-icecube", "kernel_id": "34595526"}, {"ref": "behroozsohrabi/pandas-vs-polars-a-bear-fight", "kernel_id": "34414774"}, {"ref": "takumimukaiyama/preprocessing-data-using-numpy", "kernel_id": "34314329"}, {"ref": "roberthatch/lb-1-183-lightning-fast-baseline-with-polars", "kernel_id": "34539160"}, {"ref": "viktorcikojevic/mean-angular-error-in-pytorch", "kernel_id": "34994423"}, {"ref": "viktorcikojevic/very-simple-eda-neutrino-trajectories", "kernel_id": "34946739"}, {"ref": "shlomoron/icecube-eda-pca-baseline-cv-1-23-lb-1-218", "kernel_id": "34337004"}, {"ref": "kennytanner/cherenkov-light-emission-cone-detection", "kernel_id": "34471538"}, {"ref": "mikhailma/understanding-of-the-task-view-of-the-data", "kernel_id": "34297747"}, {"ref": "satyaprakashshukl/neutrinos-in-deep-ice-simple-pred-eda", "kernel_id": "34282342"}, {"ref": "satyaprakashshukl/angular-dist-score-mean-angular-error", "kernel_id": "34291693"}, {"ref": "satyaprakashshukl/eda-icecube", "kernel_id": "34293390"}, {"ref": "daviddsdp/so-is-looking-the-24-event-way", "kernel_id": "34556035"}, {"ref": "mohammadrahmati/one-bad-string-in-dataset", "kernel_id": "34522185"}, {"ref": "mohammadrahmati/cnn-architecture", "kernel_id": "34476578"}, {"ref": "diegoasuarezg/icecube-neutrino-trajectory-3d-projection", "kernel_id": "34468594"}, {"ref": "kaggleqrdl/probing-notebook", "kernel_id": "34385428"}, {"ref": "imvision12/read-parquet-files", "kernel_id": "34275854"}, {"ref": "tatelarkin/icecube-neutrinos-notebook", "kernel_id": "34668524"}, {"ref": "suhancho/prediction-using-hqs-and-cnn-model", "kernel_id": "34703207"}, {"ref": "suhancho/eda-inspection-of-noisy-sensors", "kernel_id": "34698996"}, {"ref": "suhancho/eda-can-we-identify-and-remove-batch-effects", "kernel_id": "34802313"}, {"ref": "chahbazaman/eda-getting-started-with-animated-neutrino-events", "kernel_id": "34681928"}, {"ref": "pellerphys/plot-event", "kernel_id": "34239893"}, {"ref": "sumamallapragada/neutrino-observation", "kernel_id": "34744122"}, {"ref": "higgsgama/v1-polars", "kernel_id": "34734430"}, {"ref": "antonsevostianov/preliminary-eda-for-icecube-competition", "kernel_id": "34955633"}, {"ref": "rashikaaagupta/ice-cube", "kernel_id": "34806104"}, {"ref": "mattop/neutrinos-in-deep-ice-interactive-3d-plot-eda", "kernel_id": "34274209"}, {"ref": "shivsingh97/icecube-neutrino-path-detection-with-3d-projection", "kernel_id": "34835050"}, {"ref": "hridaym25/sensorgeometry", "kernel_id": "34603507"}, {"ref": "adilimadeddinehosni/icecube-in-deep-eda", "kernel_id": "34398351"}, {"ref": "denistrushkin/icecube", "kernel_id": "34650510"}, {"ref": "horikitasaku/lightning-fast-baseline", "kernel_id": "34635098"}, {"ref": "jedifullstack/notebook52e2567a8a", "kernel_id": "34519364"}, {"ref": "kashinadarya/neutrinos-direction-basic-eda", "kernel_id": "34953434"}, {"ref": "playmakerg/neutrino-basic", "kernel_id": "34758821"}, {"ref": "ruslankondrashuk/neutrino", "kernel_id": "34871853"}, {"ref": "averkovanika/icecube-eda-more-doesn-t-mean-better", "kernel_id": "34458302"}, {"ref": "seikin/neutrino-hunters", "kernel_id": "34933711"}, {"ref": "astrokshitij/ice-cube-neutrino-observatory", "kernel_id": "34486800"}, {"ref": "nanobelka70spb/icecube-1-eda", "kernel_id": "34446652"}, {"ref": "oldjerry/is-machine-learning-method-work-lgb-lr", "kernel_id": "34524046"}, {"ref": "prasannakukadepro/icecube-neutrino-eda", "kernel_id": "34478227"}, {"ref": "germanbaev/trial-eda", "kernel_id": "34946632"}, {"ref": "vsavchits/notebook6cab08d2b5", "kernel_id": "34462550"}, {"ref": "thenotfish/neutrinolstm", "kernel_id": "34448066"}, {"ref": "jacobhds/deepcore-sensor-ids", "kernel_id": "34667602"}, {"ref": "sdgfeed/eda-confidence-interval-of-mean-sensors-accuracy", "kernel_id": "34848261"}, {"ref": "alexglad12/glad-notebook", "kernel_id": "34951691"}, {"ref": "mmakhyanov/polars-2-dots-method", "kernel_id": "35512952"}, {"ref": "solverworld/12th-place-ensemble-models", "kernel_id": "35861420"}, {"ref": "ernestglukhov/icecube-by-practicum-all-notebooks", "kernel_id": "35706728"}, {"ref": "asimandia/mean-angular-error-short-and-long-form-stability", "kernel_id": "35008841"}, {"ref": "dan8262/dan82-icecube-eda", "kernel_id": "35135327"}, {"ref": "iafoss/chunk-based-data-loading-with-caching", "kernel_id": "35950001"}, {"ref": "synset/icecube-qudata-line-fit-method", "kernel_id": "35432521"}, {"ref": "synset/icecube-qudata-anisotropy", "kernel_id": "35545432"}, {"ref": "yamsam/icecube-eda", "kernel_id": "35062823"}, {"ref": "earyzhe/icecube-neutrinos-pca-visualization-tool", "kernel_id": "35430966"}, {"ref": "prachi13/icecube-baseline-submission", "kernel_id": "35285602"}, {"ref": "dipamc77/single-attention-model-inference", "kernel_id": "35709590"}, {"ref": "younesselbrag/icecube-baseline-randomforest", "kernel_id": "35408500"}, {"ref": "benjenkins96/neutrino-direction-eda", "kernel_id": "35310608"}, {"ref": "simonedegasperis/eda-baseline-with-polars", "kernel_id": "35152247"}, {"ref": "eslamfouad/icecube-neutrinos-in-deep-ice-mlm", "kernel_id": "35746798"}, {"ref": "viktorcikojevic/von-mises-fisher-3d-loss-pytorch", "kernel_id": "35875805"}, {"ref": "viktorcikojevic/transformer-model-train", "kernel_id": "35100693"}, {"ref": "viktorcikojevic/test-submission", "kernel_id": "35056087"}, {"ref": "kilogrand/make-your-own-gnn", "kernel_id": "35192659"}, {"ref": "podcastprereamea/icecube-neutrinos-in-deep-ice", "kernel_id": "35976100"}, {"ref": "louisstefanuto/inference-dynedge-attention", "kernel_id": "35447865"}, {"ref": "tatelarkin/neutrino-event-type-classifier-auc-score-0-93", "kernel_id": "35594710"}, {"ref": "ehsankhajeh/cubic-ice-v2", "kernel_id": "35040393"}, {"ref": "kaggsouma/ice-submission", "kernel_id": "35425862"}, {"ref": "antonsevostianov/icecube-sensor-efficiency-feature-engineering", "kernel_id": "35860365"}, {"ref": "antonsevostianov/paper-overview-graph-neural-networks-in-icecube", "kernel_id": "35552144"}, {"ref": "rohanjai/icecube-eda-pca-baseline-cv-1-23-lb-1-218-797d32", "kernel_id": "35975504"}, {"ref": "lyalindmitriy/icecube-analysis", "kernel_id": "35001829"}, {"ref": "sofiamatias/icecube-eda-and-models-study", "kernel_id": "35863165"}, {"ref": "pilgrimv/graphnet-baseline-submission", "kernel_id": "35796576"}, {"ref": "kashinadarya/practicum-feature-engineering-ver-2", "kernel_id": "35944128"}, {"ref": "averkovanika/standard-vs-weighted-pca-who-s-won", "kernel_id": "35838074"}, {"ref": "averkovanika/icecube-pc1-as-a-predictor-upd-ranked-pulses", "kernel_id": "35399745"}, {"ref": "nikitames/fork-of-notebook846d0ea44d", "kernel_id": "35007586"}, {"ref": "shadowshuo/icecube-create-db-131", "kernel_id": "35052825"}, {"ref": "shadowshuo/icecube-create-db-198", "kernel_id": "35053618"}, {"ref": "shadowshuo/icecube-create-db-528", "kernel_id": "35049073"}, {"ref": "machengyuan/graphnet-baseline", "kernel_id": "35977534"}, {"ref": "sathishkumartheta/icecube-neutrino-ipynb", "kernel_id": "35780691"}, {"ref": "keertinadagouda/pandas-label-encoding", "kernel_id": "35797214"}, {"ref": "mmakhyanov/classification-of-the-events", "kernel_id": "36069931"}, {"ref": "subhasishsahu22/proxima", "kernel_id": "36995179"}, {"ref": "silikhon/mlhep-2023-simple-convolutional-nn-baseline", "kernel_id": "36533479"}, {"ref": "roger92/gnnmodel-of-pytorchlightning-version-with-comments", "kernel_id": "36502006"}, {"ref": "roger92/lstm-pytorch-version-and-need-help", "kernel_id": "36532198"}, {"ref": "roger92/can-we-speed-up-dataloader-io", "kernel_id": "36837968"}, {"ref": "roger92/can-we-speed-up-dataloader-io-ver2", "kernel_id": "36992134"}, {"ref": "rsmits/tensorflow-lstm-model-data-preprocessor", "kernel_id": "36085170"}, {"ref": "rsmits/tensorflow-lstm-model-inference", "kernel_id": "36036508"}, {"ref": "rsmits/tensorflow-lstm-model-training-tpu", "kernel_id": "36044114"}, {"ref": "iafoss/icecube-inference-combine-weight", "kernel_id": "36828131"}, {"ref": "tyeestudio/gpt-based-prediction-live-loss-plot", "kernel_id": "36462635"}, {"ref": "tyeestudio/gpt-based-prediction-watch-it-learn", "kernel_id": "36457820"}, {"ref": "tyeestudio/gpt-based-prediction-no-chatgpt", "kernel_id": "36455760"}, {"ref": "sinpcw/icecube-submit", "kernel_id": "36474942"}, {"ref": "stpeteishii/neutorinos-2d-3d-slide-show", "kernel_id": "36663862"}, {"ref": "dipamc77/fast-preprocessing-polars-numba-1-5-s-batch", "kernel_id": "36640452"}, {"ref": "vaibhavsharma3012/icecube-neutrinos-in-deep-ice-1", "kernel_id": "36503397"}, {"ref": "kaitokusumoto/icecube-eda-pca-eng", "kernel_id": "36616906"}, {"ref": "hechtjp/learning-gnn-with-icecube-dataset", "kernel_id": "36283769"}, {"ref": "yamaich/icecube-simplegcn-w-knneventgraph", "kernel_id": "36491146"}, {"ref": "peirenc/process-data-pc-2", "kernel_id": "36344113"}, {"ref": "cembuyukkartal/icecube-sensor-geometry", "kernel_id": "36964837"}, {"ref": "junseonglee11/icecube-data-to-tfrecord-v2-1", "kernel_id": "36500932"}, {"ref": "mohammadrahmati/graphnet-learning-rate", "kernel_id": "36077504"}, {"ref": "podcastprereamea/deep-learning-brain-tumor", "kernel_id": "36760447"}, {"ref": "tatelarkin/saving-and-loading-icecube-data-as-tfrecord", "kernel_id": "36029582"}, {"ref": "ludditep/15th-place-dynedge-2-direction-prediction", "kernel_id": "36470465"}, {"ref": "sumamallapragada/direction-neutrino-regression", "kernel_id": "36491499"}, {"ref": "magnussesodia/icecube-eda", "kernel_id": "36299658"}, {"ref": "sofiamatias/icecube-predictions-simple-nn", "kernel_id": "36401402"}, {"ref": "sofiamatias/icecube-train-lgbm", "kernel_id": "36671241"}, {"ref": "vishakkbhat/tensorflow-lstm-model-inference", "kernel_id": "36475233"}, {"ref": "machengyuan/graphnet-model", "kernel_id": "36927858"}, {"ref": "aphysict/fork1-of-icev0-1runddp", "kernel_id": "36172527"}, {"ref": "aphysict/fork1-of-icev0-1", "kernel_id": "36172579"}, {"ref": "aphysict/batch-52-56", "kernel_id": "36113857"}, {"ref": "evgeniidvornikov/wpca-is-it-possible-to-minimize-the-error", "kernel_id": "36202316"}, {"ref": "grzego/inference-lstm-ensembler-graphnet-transformer", "kernel_id": "37722427"}, {"ref": "its7171/icecube-edgeconv-transformer-inference", "kernel_id": "37582258"}, {"ref": "ukrainskiydv/icecube-submission-dynemb-example", "kernel_id": "37925901"}, {"ref": "ernestglukhov/practicum-nn-skeleton", "kernel_id": "37019663"}, {"ref": "ernestglukhov/practicum-pca-based-solution-with-features", "kernel_id": "37368346"}, {"ref": "ernestglukhov/practicum-hyperparameter-search-using-wandb", "kernel_id": "37579945"}, {"ref": "ernestglukhov/practicum-pytorch-gnn", "kernel_id": "37481229"}, {"ref": "atamazian/icecube-convert-train-data-to-sqlite", "kernel_id": "37122997"}, {"ref": "rsmits/26th-place-solution-lstm-ensemble", "kernel_id": "37363571"}, {"ref": "atom1231/6th-graphnet-baseline-finetuning-ensemble-x7", "kernel_id": "37485281"}, {"ref": "tyeestudio/language-from-outer-space-in-icecube-data", "kernel_id": "37532330"}, {"ref": "andreybeyn/icecube-ensemble-submit", "kernel_id": "37384149"}, {"ref": "dipamc77/3rd-place-attention-xgboost-ensembler", "kernel_id": "37132041"}, {"ref": "hmenezes97/icecube-events-interactive-animation", "kernel_id": "37400819"}, {"ref": "hideyukizushi/ice-inf-1-016-lstm-gru-transformer", "kernel_id": "37482847"}, {"ref": "chihantsai/ens-group-gnn-v4-5-2-and-lstm-v8-and-tformer-v17", "kernel_id": "37326157"}, {"ref": "chihantsai/ens-gnn-v4-5-2-and-lstm-v8-and-tformer-v18-up300", "kernel_id": "37348386"}, {"ref": "seungmoklee/icecube-rsrnn", "kernel_id": "37296179"}, {"ref": "junseonglee11/20th-tensorflow-tfrecord-tpu-lstm-line-fit-train", "kernel_id": "37478987"}, {"ref": "mohammadrahmati/efficient-database-generator", "kernel_id": "37487908"}, {"ref": "sofiamatias/icecube-graphnet-model", "kernel_id": "37014599"}, {"ref": "sofiamatias/icecube-train-rnn", "kernel_id": "37048427"}, {"ref": "emanuelruzak/lstmviewicecube", "kernel_id": "37514134"}, {"ref": "emanuelruzak/submissionfinal2", "kernel_id": "37385183"}, {"ref": "emanuelruzak/ensemble2", "kernel_id": "37302607"}, {"ref": "kashinadarya/basic-linearregression-icecube-submission", "kernel_id": "37018241"}, {"ref": "monikagetsova/icecube-graphnet", "kernel_id": "37795811"}, {"ref": "monikagetsova/icecube-graphnet-2", "kernel_id": "37426945"}, {"ref": "ayaanjang/20th-tensorflow-lstm-model-inference-merged", "kernel_id": "37277066"}, {"ref": "brownzerg/22th-fine-tuned-gnn-comb-with-plane-fit-by-bdt", "kernel_id": "37274543"}, {"ref": "mfeng38/big-data-ice-cube", "kernel_id": "38234900"}, {"ref": "wenshuaichao/pyg-cp37-pt111-notebook", "kernel_id": "38160030"}, {"ref": "ayrgthonsoraca/neutrinos-s-telescope-principal-component", "kernel_id": "39841401"}, {"ref": "meharoo1/icecube-qudata", "kernel_id": "56351665"}, {"ref": "vasilisamalenkiy/graphnet-gnn", "kernel_id": "81335633"}, {"ref": "kinonquc/notebookeabf0ba4db-6f2833", "kernel_id": "108452950"}, {"ref": "dhisgod/notebookeabf0ba4db", "kernel_id": "108313804"}, {"ref": "xunthanhh/notebookeabf0ba4db", "kernel_id": "108312170"}]}
{"competition_id": "38263", "kernels": [{"ref": "itzmitlivan/six-series-forecasting", "kernel_id": "29702874"}]}
{"competition_id": "38265", "kernels": [{"ref": "linkanjarad/forest-species-prediction-lgbm", "kernel_id": "30065248"}]}
{"competition_id": "38280", "kernels": []}
{"competition_id": "38281", "kernels": []}
{"competition_id": "38284", "kernels": [{"ref": "boulahchichenadir/mobilenet-classification-95", "kernel_id": "29766624"}, {"ref": "prashanthacsq/4ac-en4-a384-modeall-tta-infer", "kernel_id": "30668903"}, {"ref": "iqbalkalam/xception-classification", "kernel_id": "30653116"}, {"ref": "enricozada/xception-classification", "kernel_id": "30712737"}, {"ref": "besadaa/mobilenet-classification-95", "kernel_id": "37377960"}, {"ref": "vietanhpham/mobilenet-classification", "kernel_id": "41140309"}, {"ref": "anishbhalla/animal-classification-cnn", "kernel_id": "51525547"}, {"ref": "tunkhanhbi/4-animal", "kernel_id": "59431991"}, {"ref": "phmhunhlongv/4-animal-classification", "kernel_id": "83512801"}, {"ref": "shuvodey001/4-animal-classifier-0-9849", "kernel_id": "105203071"}]}
{"competition_id": "38289", "kernels": []}
{"competition_id": "38291", "kernels": [{"ref": "imbikramsaha/workshop-support-vector-machine-prepossessing", "kernel_id": "29789590"}, {"ref": "sreeharic/starter-notebook", "kernel_id": "29750436"}, {"ref": "ivanzoizi/catboostclassifier", "kernel_id": "29834305"}, {"ref": "ankitp30/kaggle-workshop-aug-21-22", "kernel_id": "29759352"}]}
{"competition_id": "38321", "kernels": [{"ref": "rhtsingh/utilizing-transformer-representations-efficiently", "kernel_id": "17873764"}, {"ref": "riadalmadani/infrerence-roberta-model", "kernel_id": "19513030"}, {"ref": "rhtsingh/all-the-ways-you-can-compress-transformers", "kernel_id": "20276603"}, {"ref": "vad13irt/optimization-approaches-for-transformers", "kernel_id": "28014302"}, {"ref": "jmsrbcc/competition", "kernel_id": "28446185"}, {"ref": "abhishek/multi-label-stratified-folds", "kernel_id": "29998500"}, {"ref": "abhishek/tez-fb3-beating-the-benchmark-inference", "kernel_id": "29999549"}, {"ref": "ryanholbrook/feedback-prize-3-efficiency-leaderboard", "kernel_id": "29971626"}, {"ref": "zacchaeus/fb3-eda", "kernel_id": "29998043"}, {"ref": "atharvaingle/feedback-3-0-eda-metric-analyze-folds", "kernel_id": "29998379"}, {"ref": "vad13irt/optimization-approaches-for-transformers-part-2", "kernel_id": "29779534"}, {"ref": "mattop/feedback-prize-english-language-learning-eda", "kernel_id": "29997095"}, {"ref": "bansodesandeep/sentiment-analysis-support-vector-machine", "kernel_id": "29882142"}, {"ref": "bansodesandeep/ml-logistic-regression-boston-data-binning", "kernel_id": "29915382"}, {"ref": "abhishek/tez-fb3-training-kernel", "kernel_id": "30000766"}, {"ref": "lextoumbourou/feedback3-eda-hf-custom-trainer-sift", "kernel_id": "30001440"}, {"ref": "lextoumbourou/feedback3-inference", "kernel_id": "30141711"}, {"ref": "riteshsinha/feedback-prize-data-exploration", "kernel_id": "30527930"}, {"ref": "danofer/ell-nlp-feature-engineering-textacy-textstat", "kernel_id": "30420887"}, {"ref": "kawamoto/english-language-learning-eda-with-nltk", "kernel_id": "30552729"}, {"ref": "habedi/embed-documents", "kernel_id": "30872384"}, {"ref": "subbuvolvosekar/first-exploration-ell", "kernel_id": "30495643"}, {"ref": "saansd2003/feedback-prize-lang-learn-ulmfit-baseline", "kernel_id": "30368240"}, {"ref": "illidan7/poor-man-s-nlp", "kernel_id": "30808539"}, {"ref": "illidan7/poormannlp-py", "kernel_id": "30781991"}, {"ref": "rexhaif/mcrmse-metric-in-numpy", "kernel_id": "30002138"}, {"ref": "pokmppokmp/ensemble-v3", "kernel_id": "30946363"}, {"ref": "parksu92/english-language-learning-vectorization-lgbm", "kernel_id": "30894500"}, {"ref": "parksu92/fb3-deberta-v3-base-baseline-inference", "kernel_id": "30948054"}, {"ref": "parksu92/fb3-deberta-v3-base-baseline-train", "kernel_id": "30942302"}, {"ref": "finlay/feedback-prize-tfidf-ml-model-english", "kernel_id": "30060125"}, {"ref": "shudhatmajain/analysis-and-eda", "kernel_id": "30373766"}, {"ref": "maulberto3/fp3-2022-vect-f-extr-cv-pipe-hps", "kernel_id": "30184425"}, {"ref": "gshchen/fb3-multi-gbdt-v1-train", "kernel_id": "30229395"}, {"ref": "vslaykovsky/0-44-train-disentangled-deberta-v3-targets", "kernel_id": "30903295"}, {"ref": "vslaykovsky/0-44-inference-disentangled-deberta-v3-targets", "kernel_id": "30887989"}, {"ref": "vslaykovsky/0-44-ridge-sliding-window-deberta", "kernel_id": "30702310"}, {"ref": "vslaykovsky/spell-checker-features-for-fb3", "kernel_id": "30387813"}, {"ref": "vslaykovsky/snap-to-grid", "kernel_id": "30416067"}, {"ref": "vslaykovsky/2-2-more-training-data-from-fb2021", "kernel_id": "30200738"}, {"ref": "vslaykovsky/1-2-more-training-data-from-fb2021", "kernel_id": "30229383"}, {"ref": "vslaykovsky/train-deberta-v3-base-with-pseudo-labels", "kernel_id": "30242638"}, {"ref": "vslaykovsky/lb-0-43-ensemble-of-top-solutions", "kernel_id": "30238963"}, {"ref": "vslaykovsky/infer-deberta-v3-base-with-pseudo-labels", "kernel_id": "30252874"}, {"ref": "verracodeguacas/feedback-3-eda-sentence-transformers", "kernel_id": "30002286"}, {"ref": "verracodeguacas/spacy-linguistic-features-svr-and-optuna", "kernel_id": "30986197"}, {"ref": "shams1/clean-dataset", "kernel_id": "30454713"}, {"ref": "swimmy/stacking-xgboost-lgbm-ridge-catboost", "kernel_id": "30393065"}, {"ref": "kkahloots/deberta-t5-embedding", "kernel_id": "30878676"}, {"ref": "anubhav1302/wip-feedback-prize-eda", "kernel_id": "30146393"}, {"ref": "tangelus/english-language-learning-vectorization-lgbm", "kernel_id": "30000598"}, {"ref": "kvsnoufal/linear-regression-tfidf-feedback3", "kernel_id": "30230233"}, {"ref": "kvsnoufal/lb0-46-gb-debertaembedding", "kernel_id": "30250768"}, {"ref": "amitabhphatak/feedback-prize", "kernel_id": "30287094"}, {"ref": "dilthoms/ell-sub", "kernel_id": "30978818"}, {"ref": "jeremyadamsfisher/distilbert-fpell-x-huggingface-trainer", "kernel_id": "30105890"}, {"ref": "arvissu/quick-starts-deberta-training-1-epoch", "kernel_id": "30003842"}, {"ref": "arvissu/quick-starts-deberta-inference-1-epoch", "kernel_id": "30009808"}, {"ref": "thedrcat/fb3-ordinal-regression-baseline-inference", "kernel_id": "30059254"}, {"ref": "thedrcat/fb3-ordinal-regression-baseline-training-pl-w-b", "kernel_id": "30060434"}, {"ref": "electro/fp3-bag-of-words-tensorflow-starter", "kernel_id": "30884779"}, {"ref": "takamichitoda/fb3-mlm-training-from-competition-data", "kernel_id": "30938942"}, {"ref": "arkadius/baseline", "kernel_id": "30207473"}, {"ref": "yasufuminakama/fb3-deberta-v3-base-baseline-inference", "kernel_id": "30036864"}, {"ref": "yasufuminakama/fb3-submission-time", "kernel_id": "30037870"}, {"ref": "yasufuminakama/fb3-deberta-v3-base-baseline-train", "kernel_id": "30001073"}, {"ref": "yasufuminakama/fb3-pip-wheels", "kernel_id": "30001079"}, {"ref": "cdeotte/rapids-svr-cv-0-450-lb-0-44x", "kernel_id": "30275048"}, {"ref": "intrincantation/interpretable-baseline-no-nn-score-60", "kernel_id": "30342796"}, {"ref": "kojimar/fb3-deberta-family-inference-9-28-updated", "kernel_id": "30223228"}, {"ref": "autonomous019/deberta-v3-base-optuna-layerwise", "kernel_id": "30763607"}, {"ref": "kaerunantoka/feedback3-n005", "kernel_id": "30081815"}, {"ref": "kaerunantoka/feedback3-n004", "kernel_id": "30052971"}, {"ref": "jazivxt/old-school", "kernel_id": "30415713"}, {"ref": "sunpnwt12/fb-ell-infernb", "kernel_id": "30896051"}, {"ref": "msvensson222/unexpected-submission-scoring-error", "kernel_id": "30115819"}, {"ref": "santhoshkumarv/fb3-pytorch-distilbert-base-uncased-inference", "kernel_id": "30077150"}, {"ref": "santhoshkumarv/fb3-pytorch-distilbert-base-uncased-train-w-b", "kernel_id": "30065547"}, {"ref": "suryadeepti/basic-approach", "kernel_id": "30682926"}, {"ref": "anomanderake/optimising-lgbm-chain", "kernel_id": "30499018"}, {"ref": "anomanderake/chaining-regressor-models", "kernel_id": "30443020"}, {"ref": "chetan8007/max-token-length-1428", "kernel_id": "30011846"}, {"ref": "rachanabisht/ell-model-ann", "kernel_id": "30322970"}, {"ref": "rachanabisht/ell-eda", "kernel_id": "30179341"}, {"ref": "rachanabisht/ell-simple-multioutput-regressor", "kernel_id": "30664365"}, {"ref": "amaudruz/feedbackprize-bertridge", "kernel_id": "30099463"}, {"ref": "timokerr/absolute-baseline-test-no-training", "kernel_id": "30873875"}, {"ref": "ficklemaverick/starter-notebook-simple-modelling", "kernel_id": "30491075"}, {"ref": "mpwolke/speak-for-yourself-einstein", "kernel_id": "30083117"}, {"ref": "tmishinev/feedback-prize-tfidf-ridge-baseline", "kernel_id": "30823598"}, {"ref": "tadakasuryateja/feedback-prize-3-ell-eda", "kernel_id": "30383543"}, {"ref": "olivineryo/let-s-create-essay-dashboard", "kernel_id": "30557688"}, {"ref": "heyytanay/fb3-roberta-pytorch-baseline-kfolds-w-b", "kernel_id": "30097378"}, {"ref": "e0xextazy/fb3-deberta-v3-large-baseline-inference", "kernel_id": "30073915"}, {"ref": "e0xextazy/fb3-deberta-v3-base-baseline-train", "kernel_id": "30073926"}, {"ref": "pollicio/feedback-prize-chile-2022", "kernel_id": "30483352"}, {"ref": "prajittr/basic-nlp-xgb-score-0-57", "kernel_id": "30966006"}, {"ref": "wuwenmin/fb3-debertav3-small-export-onnx-and-test", "kernel_id": "30865290"}, {"ref": "auhide/evaluating-en-language-learning-transformer", "kernel_id": "30683842"}, {"ref": "noriyukipy/fb3-data-overview-and-simple-eda", "kernel_id": "30046777"}, {"ref": "raj26000/fb3-0-46-pytorch-deberta-base-parallel-training", "kernel_id": "30263928"}, {"ref": "raj26000/feedback-ell-pytorch-deberta-base-inference", "kernel_id": "30286393"}, {"ref": "mitsuiwyl/classifer", "kernel_id": "30322778"}, {"ref": "pyagoubi/fb3-bert-large", "kernel_id": "30866323"}, {"ref": "sadivamadaan/fastai-x-huggingface-starter", "kernel_id": "30705276"}, {"ref": "samratthapa/quick-baseline-tfidf-and-lightgbm", "kernel_id": "30659763"}, {"ref": "shreydan/bpe-tokenizer-lstm-embeddings", "kernel_id": "30653028"}, {"ref": "shreydan/using-transformers-for-the-first-time-pytorch", "kernel_id": "30709032"}, {"ref": "shreydan/deberta-v3-base-accelerate-finetuning", "kernel_id": "30930469"}, {"ref": "shreydan/lstm-embeddings", "kernel_id": "30557302"}, {"ref": "shreydan/first-look-at-data-eda-read-some-essays", "kernel_id": "30172191"}, {"ref": "cabbage972/ell-conventions-score-analysis", "kernel_id": "30106305"}, {"ref": "cabbage972/ell-vocabulary-score-analysis", "kernel_id": "30037010"}, {"ref": "cabbage972/ell-grammar-score-analysis", "kernel_id": "30062081"}, {"ref": "cabbage972/ell-git-project-template-training", "kernel_id": "30161777"}, {"ref": "cabbage972/ell-git-project-template-inference", "kernel_id": "30161927"}, {"ref": "nischaydnk/colab-models-download-v2-0", "kernel_id": "30069193"}, {"ref": "nischaydnk/fb3-lightning-baseline-inference", "kernel_id": "30057756"}, {"ref": "nischaydnk/fb3-pytorch-lightning-training-baseline", "kernel_id": "30058412"}, {"ref": "nischaydnk/colab-models-download-v1", "kernel_id": "30057740"}, {"ref": "mdshahbazalam/fork-of-lstm-cnn", "kernel_id": "30300003"}, {"ref": "mdshahbazalam/lgbm-multioutputregressor", "kernel_id": "30303234"}, {"ref": "mdshahbazalam/simple-mlp-2", "kernel_id": "30196910"}, {"ref": "mdshahbazalam/simple-neural-network", "kernel_id": "30200222"}, {"ref": "mdshahbazalam/lstm-gru-cnn1d", "kernel_id": "30286582"}, {"ref": "mdshahbazalam/lstm-cnn", "kernel_id": "30285009"}, {"ref": "debarshichanda/fb3-inference", "kernel_id": "30119950"}, {"ref": "debarshichanda/fb3-custom-hf-trainer-w-b-starter", "kernel_id": "30080525"}, {"ref": "mohamedabdelwahabali/create-clean-dataset", "kernel_id": "30434722"}, {"ref": "quangphm/fb3-feature-engineering", "kernel_id": "30842933"}, {"ref": "quangphm/fb3-deberta-torch-train", "kernel_id": "30306490"}, {"ref": "quangphm/fb3-try-to-find-features-for-each-target", "kernel_id": "30293992"}, {"ref": "randyli2/fb3-starter-training", "kernel_id": "30438701"}, {"ref": "omarelnahas/feedback-prize", "kernel_id": "30005503"}, {"ref": "prakharsrv/ell-huggingface-bert", "kernel_id": "30536319"}, {"ref": "kostiantynlavronenko/ell-fast-eda", "kernel_id": "30027253"}, {"ref": "chazzer/feedback-3-eda-with-plotly", "kernel_id": "30483531"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "chazzer/ml-grandmaster-gradient-boosting-xgboost", "kernel_id": "30873989"}, {"ref": "chazzer/ml-grandmaster-random-forest", "kernel_id": "30820975"}, {"ref": "chazzer/ml-grandmaster-decision-tree-regressor", "kernel_id": "30762070"}, {"ref": "chazzer/ml-grandmaster-decision-tree-classifier", "kernel_id": "30656665"}, {"ref": "brucewaynew/fb3-deberta-v3-large-bru-0-1", "kernel_id": "30476967"}, {"ref": "brucewaynew/fb3-deberta-v3-large-bru-2-3", "kernel_id": "30476981"}, {"ref": "shubhamsindal0098/feedback-prize-english-language-learning", "kernel_id": "30041300"}, {"ref": "tracyporter/ell-nlp-multioutput", "kernel_id": "30768547"}, {"ref": "mindadeepam/fb3-pytorch-simple-lstm", "kernel_id": "30126907"}, {"ref": "venkatkumar001/fp3-simple-baseline-kfold-lr-rf-solution", "kernel_id": "30007992"}, {"ref": "venkatkumar001/nlpstarter5-fp3-bert-large-uncased-train", "kernel_id": "30112664"}, {"ref": "venkatkumar001/nlpstarter5-fp3-bert-l-uncased-inference", "kernel_id": "30114675"}, {"ref": "takeshisuzuki/how-do-annotators-score", "kernel_id": "30319899"}, {"ref": "bibhabasumohapatra/my-dataset-exp-for-long-text-hope-works-out", "kernel_id": "30109599"}, {"ref": "hechtjp/feedback-prize-ell-lgbmregressor-cpu-train", "kernel_id": "30306399"}, {"ref": "hechtjp/feedback-prize-ell-lgbmregressor-cpu-inference", "kernel_id": "30476242"}, {"ref": "hechtjp/feedback-prize-ell-eda-dimensionality-reduction", "kernel_id": "30072611"}, {"ref": "youktinathbhowmick/fpell-a-very-basic-and-weird-baseline", "kernel_id": "30291067"}, {"ref": "youktinathbhowmick/fpell-feedback-3-without-nlp", "kernel_id": "30530410"}, {"ref": "moritzreh/strong-correlations-in-targets-pca-svd-etc", "kernel_id": "30031676"}, {"ref": "kaledhoshme/transformers-resnet-lstm-with-xgbregressor", "kernel_id": "30154759"}, {"ref": "sajutr/notebookaa1cc8ef8a", "kernel_id": "30353162"}, {"ref": "arvinddevarkonda/fb3-creating-folds-using-bins", "kernel_id": "30010769"}, {"ref": "ebn7amdi/baseline", "kernel_id": "30169565"}, {"ref": "ebn7amdi/eda-from-a-to-z", "kernel_id": "30344624"}, {"ref": "kunihikofurugori/optunaweight-adjust", "kernel_id": "30673675"}, {"ref": "tomoyayanagi/feedback3-topics-identification-with-bertopic", "kernel_id": "30036240"}, {"ref": "xxxxyyyy80008/feedback-prize-english-language-learning-eda", "kernel_id": "30971981"}, {"ref": "sharmoul/feedback-prize-ell-baseline", "kernel_id": "30020844"}, {"ref": "avilaqba/draft-2-score-0-51", "kernel_id": "30176153"}, {"ref": "dlaststark/feedback-ell-roberta-large-infer", "kernel_id": "30017557"}, {"ref": "dlaststark/feedback-ell-roberta-large-train", "kernel_id": "30011703"}, {"ref": "dlaststark/feedback-ell-keep-it-simple", "kernel_id": "30007581"}, {"ref": "dlaststark/feedback-ell-word-coverage-exploration", "kernel_id": "30007342"}, {"ref": "mohamedbakrey/eda-and-predict-the-score-by-using-pytorch", "kernel_id": "30925096"}, {"ref": "bakerbecker/new-notebook-to-test", "kernel_id": "30455474"}, {"ref": "adewoleakorede/feedback-prize-baseline1", "kernel_id": "30031113"}, {"ref": "neesham/nlp-for-beginners", "kernel_id": "30979766"}, {"ref": "arijitbanerjee009/english-feedback-model-deep-learning", "kernel_id": "30300875"}, {"ref": "santosh1974/feedback-learning-edanalysis-simple-model", "kernel_id": "30685786"}, {"ref": "clarksaben/stable-diffusion-quickstart", "kernel_id": "30528507"}, {"ref": "saifedd/exploring-data", "kernel_id": "30764291"}, {"ref": "kalininvladislav/english-language-eda", "kernel_id": "30286506"}, {"ref": "xinzewu/wxz1-bert", "kernel_id": "30526088"}, {"ref": "mujrush/train-deberta-v3-base-with-bertopic", "kernel_id": "30679861"}, {"ref": "mujrush/data-augmentation-by-back-translation", "kernel_id": "30299066"}, {"ref": "mujrush/train-deberta-v3-base-lgbm", "kernel_id": "30298322"}, {"ref": "mujrush/inference-deberta-v3-base-lgbm", "kernel_id": "30367100"}, {"ref": "growbigger/essay-analyze-with-bert-tensorflow", "kernel_id": "30605297"}, {"ref": "qcqced/fbp-baseline-eda-preprocess", "kernel_id": "30853827"}, {"ref": "dataranch/english-language-learning-model-comparison", "kernel_id": "30435072"}, {"ref": "chaitanyagiri/feedback-3-eda-train", "kernel_id": "30009902"}, {"ref": "renokan/engll-analysis-of-the-longest-words", "kernel_id": "30909905"}, {"ref": "renokan/engll-analysis-of-the-trash-or-not", "kernel_id": "30880253"}, {"ref": "mitchhuang777/compete-feedback-prize-english-language-learning", "kernel_id": "30475644"}, {"ref": "junjitakeshima/ell-simple-roberta-starter-eng", "kernel_id": "30273650"}, {"ref": "sagarikajadon/feedback3-inference", "kernel_id": "30654288"}, {"ref": "sagarikajadon/feedback3-deberta", "kernel_id": "30600010"}, {"ref": "artemnechaev/ell-infer", "kernel_id": "30354597"}, {"ref": "artemnechaev/ell-trian", "kernel_id": "30288290"}, {"ref": "azisanw19/pos-tagging-lstm", "kernel_id": "30569358"}, {"ref": "maverickss26/feedback-prize-analysis-using-bert-train", "kernel_id": "30737465"}, {"ref": "maverickss26/feedback-analysis-using-svr-boruta", "kernel_id": "30676799"}, {"ref": "maverickss26/feedback-prize-analysis-using-bert-inference", "kernel_id": "30864493"}, {"ref": "olegbaryshnikov/fb3-classification-regression-approach-training", "kernel_id": "30900410"}, {"ref": "olegbaryshnikov/fb3-deberta-hf-trainer-ensembling-training", "kernel_id": "30636105"}, {"ref": "olegbaryshnikov/fb3-deberta-hf-trainer-ensembling-inference", "kernel_id": "30710297"}, {"ref": "chiennguyendev/english-language-learning-svm-smote", "kernel_id": "30333726"}, {"ref": "tdoh86/baseline-sklearn", "kernel_id": "30271677"}, {"ref": "satyaprakashshukl/dbert-model-magic-english-language-learning", "kernel_id": "30286630"}, {"ref": "satyaprakashshukl/eda-feedback-prize", "kernel_id": "30004065"}, {"ref": "edadi1l/all-necessary-eda-extra-features-feedback-prize", "kernel_id": "30053796"}, {"ref": "mohdmuttalib/english-language-learning", "kernel_id": "30039984"}, {"ref": "w1326627677/feedback-lgbm-doc2vec", "kernel_id": "30173033"}, {"ref": "seonghyeone/fb3-bert-infer", "kernel_id": "30489487"}, {"ref": "seonghyeone/fb3-bert-simple", "kernel_id": "30326022"}, {"ref": "yar628/baseline", "kernel_id": "30703731"}, {"ref": "yujikomi/feedbackprize3-train", "kernel_id": "30009814"}, {"ref": "yujikomi/all-essays-for-3-feedback-competitions", "kernel_id": "30003851"}, {"ref": "devanshu12122/feedback-prize-english-lang-roberta", "kernel_id": "30385662"}, {"ref": "devanshu12122/deberta-f8", "kernel_id": "30398531"}, {"ref": "manishwahale/english-language-learning-eda", "kernel_id": "30099973"}, {"ref": "leehann/feedback-ell-infer", "kernel_id": "30013369"}, {"ref": "pjmathematician/gluon-feedback-2", "kernel_id": "30214616"}, {"ref": "javigallego/english-language-learning-complete-eda", "kernel_id": "30527269"}, {"ref": "javigallego/deberta-from-the-ground-up-2-approaches", "kernel_id": "30659012"}, {"ref": "nikto547/cohesion", "kernel_id": "30539819"}, {"ref": "nikto547/syntax", "kernel_id": "30074624"}, {"ref": "nikto547/phraseology", "kernel_id": "30733017"}, {"ref": "nikto547/grammar", "kernel_id": "30733786"}, {"ref": "nikto547/vocabulary", "kernel_id": "30730357"}, {"ref": "nikto547/conventions", "kernel_id": "30735099"}, {"ref": "nikto547/inference", "kernel_id": "30583681"}, {"ref": "xiaoqinglong1996/eda-fb3", "kernel_id": "30249722"}, {"ref": "authormorgan/fb3-roberta-base-4fold", "kernel_id": "30568168"}, {"ref": "authormorgan/fb3-ele-large-4fold", "kernel_id": "30477082"}, {"ref": "subhankarnag/feedback-ell", "kernel_id": "30477261"}, {"ref": "mangarahutagalung/fb3-draft1", "kernel_id": "30532373"}, {"ref": "rijudhara/ell-lgbmregressor", "kernel_id": "30097067"}, {"ref": "joonhankim93/fb3-simple-eda", "kernel_id": "30328991"}, {"ref": "kevinmorgado/language-initial-eda-and-feature-engineering", "kernel_id": "30900802"}, {"ref": "rayenghali023/basic-distilbert-offline-model-tensorflow-gpu-nlp", "kernel_id": "30459596"}, {"ref": "rayenghali023/basic-bert-offline-model-tensorflow-nlp", "kernel_id": "30529740"}, {"ref": "narayan63/ml-on-feedback-prize-english-language-learning", "kernel_id": "30701979"}, {"ref": "narayan63/fork-of-ml-on-feedback-prize-english-language-le", "kernel_id": "30704580"}, {"ref": "sonvu24/submission-csv", "kernel_id": "30201529"}, {"ref": "haowuoao/third", "kernel_id": "30274807"}, {"ref": "francescoliveras/feedbackprice-en-es", "kernel_id": "30578910"}, {"ref": "omarrelsayeed/simple-deberta-v3-large-1-epoch-0-49-lb", "kernel_id": "30364149"}, {"ref": "alvinleenh/fb3-why-not-tf-idf-text-vectorization", "kernel_id": "30767047"}, {"ref": "takeng/eda-misspelling", "kernel_id": "30496783"}, {"ref": "duqianqianhh/0918-baseline-bert-base-uncased", "kernel_id": "30493784"}, {"ref": "johnpap6/ell-eda-is-essay-length-predictive-or-not", "kernel_id": "30043944"}, {"ref": "aanyakhan/lgbmregressor", "kernel_id": "30433846"}, {"ref": "zxy111/microsoft-deberta-base", "kernel_id": "30477093"}, {"ref": "juquyidao/notebook53315b473a", "kernel_id": "30672092"}, {"ref": "fujino15rin/bert-large-cased", "kernel_id": "30909636"}, {"ref": "fujino15rin/roberta-large-batch16", "kernel_id": "30913362"}, {"ref": "cpmpml/fb3-deberta-v3-base-ddp-baseline-train", "kernel_id": "31829927"}, {"ref": "cpmpml/run-ddp-scripts-with-2-t-4", "kernel_id": "31838941"}, {"ref": "cpmpml/fb3-deberta-v3-base-baseline-with-2-t4-train", "kernel_id": "31651855"}, {"ref": "cpmpml/fb3-deberta-v3-base-inference-with-2-t4", "kernel_id": "31705174"}, {"ref": "fx6300/ensemble-deberta-and-svr", "kernel_id": "31802163"}, {"ref": "girlduck/hfembedding-svr-train", "kernel_id": "31938034"}, {"ref": "pokmppokmp/feedback-text-reg-deberta-v3-cpu", "kernel_id": "31176966"}, {"ref": "parksu92/fb3-deberta-family-inference", "kernel_id": "31648900"}, {"ref": "joeroberts/processing-into-kfolds", "kernel_id": "31074572"}, {"ref": "joeroberts/cnn-with-embeddings", "kernel_id": "31946286"}, {"ref": "prem134/feature-engineering", "kernel_id": "31605200"}, {"ref": "hemanth171/xgbregressor-model", "kernel_id": "31055247"}, {"ref": "nhkhoi/english-language-learning-training-2", "kernel_id": "31187387"}, {"ref": "shigengtian/ensemble-9-10-11-12", "kernel_id": "31338330"}, {"ref": "skiplik/feedback-ell-w-pytorch-first-time-train", "kernel_id": "31416762"}, {"ref": "tejasurya/guide-to-nlp-using-textblob-with-disaster-tweets", "kernel_id": "31304945"}, {"ref": "dingyan/fp3-eda-debertav3-classification-tf-train-gpu-t4", "kernel_id": "31757333"}, {"ref": "dingyan/fp3-bert-inference", "kernel_id": "31404785"}, {"ref": "dingyan/fp3-roberta-large-kfold-inference", "kernel_id": "31422092"}, {"ref": "dingyan/fp3-roberta-large-kfold-tensorflow-train-tpu", "kernel_id": "31418192"}, {"ref": "dingyan/fb3-transformer-with-tensorflow-inference", "kernel_id": "31280292"}, {"ref": "dingyan/fb3-transformer-with-tensorflow-train", "kernel_id": "31261321"}, {"ref": "dingyan/fp3-bert-finetune-with-tensorflow-tpu", "kernel_id": "31346144"}, {"ref": "dingyan/fp3-deberta-llrd-5fold-inference", "kernel_id": "31851836"}, {"ref": "dingyan/fp3-debertav3-inference", "kernel_id": "31814570"}, {"ref": "dingyan/fp3-deberta-v3-llrd-attentionpool-tf-train-tpu", "kernel_id": "31988252"}, {"ref": "electro/deberta-layerwiselr-lastlayerreinit-tensorflow", "kernel_id": "31610296"}, {"ref": "electro/fp3-roberta-meanpool-kfold-tensorflow", "kernel_id": "31346373"}, {"ref": "electro/debertav3-weightedlayermeanpool-kfold-tensorflow", "kernel_id": "31445220"}, {"ref": "electro/fp3-bert-fine-tuning-tensorflow", "kernel_id": "31054451"}, {"ref": "electro/fp3-bert-inference-tensorflow", "kernel_id": "31057409"}, {"ref": "arkadius/model2", "kernel_id": "31497837"}, {"ref": "tikutiku/fb3-14-v1-12-deberta-large-class01", "kernel_id": "31551441"}, {"ref": "tikutiku/fb3-14-v1-12-deberta-large-class23", "kernel_id": "31551477"}, {"ref": "tikutiku/fb3-14-v1-12-deberta-large-class45", "kernel_id": "31551501"}, {"ref": "tikutiku/fb3-14-v1-01-deberta-v3-base-class012", "kernel_id": "31341300"}, {"ref": "tikutiku/feedback3-inference2", "kernel_id": "31343903"}, {"ref": "tikutiku/fb3-14-v1-01-deberta-v3-base-class345", "kernel_id": "31343420"}, {"ref": "tikutiku/fb3-14-v1-10-deberta-v3-large-class01", "kernel_id": "31486129"}, {"ref": "tikutiku/fb3-14-v1-10-deberta-v3-large-class23", "kernel_id": "31486154"}, {"ref": "tikutiku/fb3-14-v1-10-deberta-v3-large-class45", "kernel_id": "31486179"}, {"ref": "tikutiku/fb3-14-v1-07-deberta-v3-base-class45", "kernel_id": "31408377"}, {"ref": "tikutiku/fb3-14-v1-07-deberta-v3-base-class01", "kernel_id": "31406609"}, {"ref": "tikutiku/fb3-14-v1-07-deberta-v3-base-class23", "kernel_id": "31406641"}, {"ref": "kojimar/fb3-single-pytorch-model-train", "kernel_id": "31971879"}, {"ref": "kojimar/fb3-single-pytorch-model-inference", "kernel_id": "31971765"}, {"ref": "ozoozo/feedback-prize-lightgbm-tfidfvectorizer", "kernel_id": "31028114"}, {"ref": "robertrebor/outliers-detection", "kernel_id": "31768305"}, {"ref": "shahsavari86/statistical-inferences-multioutput-classification", "kernel_id": "31004719"}, {"ref": "vinitkp/feedbackprize-english-language-learning-vinitp", "kernel_id": "31796733"}, {"ref": "bwallyn/feedback-prize-analyze-dataset", "kernel_id": "31325071"}, {"ref": "jingwora1/fb3-deberta-family-inference-weight-tune", "kernel_id": "31759222"}, {"ref": "medali1992/sam-deberta-v3-base-baseline-train", "kernel_id": "31074708"}, {"ref": "vection/feedback-deberta-v3-custom", "kernel_id": "31588897"}, {"ref": "venkatesh9999/alright-its-fun", "kernel_id": "31201673"}, {"ref": "oguzhansahin/feedback-prize-deberta-v3-train", "kernel_id": "31045756"}, {"ref": "schopenhacker75/transformers-for-us-beginners", "kernel_id": "31510114"}, {"ref": "minyewoo/dense-layers", "kernel_id": "31134455"}, {"ref": "mdfahimreshm/team-aambela-solution-cuet-ete-nlp-competition", "kernel_id": "31548023"}, {"ref": "yuriao/english-learning-lgbm-doc2vec-multioutput", "kernel_id": "31781963"}, {"ref": "yuriao/english-language-learning-lgbm-doc2vec", "kernel_id": "31608137"}, {"ref": "hasanbasriakcay/fp3-eda-fe-nlp-model-comparisons", "kernel_id": "31092465"}, {"ref": "susant4learning/feedbackprize-2022-quick-starter-eda", "kernel_id": "31350926"}, {"ref": "harishganesh3/distilbert-lstm", "kernel_id": "31773964"}, {"ref": "wuwenmin/fb3-onnx-cpu-inference-small-fast-truncate", "kernel_id": "31305599"}, {"ref": "wuwenmin/fb3-inference-ensemble-colwise", "kernel_id": "31946908"}, {"ref": "glebasik/feedback-prize", "kernel_id": "31468794"}, {"ref": "taruto1215/49th-place-deberta-v3-base-weightedloss", "kernel_id": "31550464"}, {"ref": "columbia2131/fb3-sub-exp16202122303132333638464748", "kernel_id": "31077919"}, {"ref": "bayremabdellaoui/feedback-prize-easy-with-bert", "kernel_id": "31221322"}, {"ref": "rohitsingh9990/merged-submission-01", "kernel_id": "31923790"}, {"ref": "daominhkhanh/notebook430c398c17", "kernel_id": "31549919"}, {"ref": "ciliamadani/bert-english-language-learning", "kernel_id": "31695386"}, {"ref": "pyagoubi/creating-new-features-with-language-tool", "kernel_id": "31380992"}, {"ref": "samyukthamobile/starters-4-beginner-tensorflow-bert-model", "kernel_id": "31866565"}, {"ref": "essammohamed4320/essay-evaluation-with-lstm-vs-deberta-v-3", "kernel_id": "31504348"}, {"ref": "essammohamed4320/essay-evaluation-with-bidirectional-lstm", "kernel_id": "31888361"}, {"ref": "egorsheremetov3/bert-defined-for-every-feature", "kernel_id": "31295618"}, {"ref": "egorsheremetov3/longformer-finetuned-split-features-regression", "kernel_id": "31573673"}, {"ref": "bajajganesh/deberta-v3base-layerwiselr-lastlayerreinit-5folds", "kernel_id": "31339074"}, {"ref": "shuntakinami/tfidf-lgbm-simple-model", "kernel_id": "31291843"}, {"ref": "shuntakinami/tfidf-pca-lightgbm-model", "kernel_id": "31749114"}, {"ref": "shanggangli/0-44-fb3-deberta-v3-large-lgbm", "kernel_id": "31033029"}, {"ref": "theodorospsarras/transformer", "kernel_id": "31474374"}, {"ref": "brucewaynew/deberta-v3-large-5fold-lrupdate-3-4", "kernel_id": "31452308"}, {"ref": "brucewaynew/deberta-v3-large-5fold-lrupdate-0-1-2", "kernel_id": "31450544"}, {"ref": "brucewaynew/deberta-v3-large-pseudo-3", "kernel_id": "31037420"}, {"ref": "brucewaynew/deberta-v3-large-pseudo-2", "kernel_id": "31037334"}, {"ref": "brucewaynew/deberta-v3-large-dropout0-1-5fold-0-1-2", "kernel_id": "31557119"}, {"ref": "brucewaynew/deberta-v3-large-dropout0-1-5fold-3-4", "kernel_id": "31557133"}, {"ref": "fatmaaidi/feedback-prize-eda-language-tool-python-lgbm", "kernel_id": "31490126"}, {"ref": "danielmoram/cnn-feature-extractor-ridge-free4allell", "kernel_id": "31103393"}, {"ref": "kaledhoshme/transformers-lstm-with-xgbregressor", "kernel_id": "31511545"}, {"ref": "kunihikofurugori/optuna-weight-running", "kernel_id": "31195917"}, {"ref": "kunihikofurugori/efficiency-prize-tensorflow", "kernel_id": "31818730"}, {"ref": "xxxxyyyy80008/analyze-co-occurrence-and-networks-of-words", "kernel_id": "31649853"}, {"ref": "baokar7/feedback-prize-bert-beginner-with-pytorch", "kernel_id": "31380241"}, {"ref": "millerrfu/1-fb3-eda", "kernel_id": "31649624"}, {"ref": "yusukepetersown/tokenize-texts-using-bert-base-uncased-model", "kernel_id": "31084480"}, {"ref": "msvrao/competition", "kernel_id": "31083266"}, {"ref": "lysatrf/roberta-demo-0-46", "kernel_id": "31896866"}, {"ref": "hokkey/notebook20221010", "kernel_id": "31085753"}, {"ref": "fakerhust/notebook44e6d885e1", "kernel_id": "31699997"}, {"ref": "kchpomp/dm-competition-notebook", "kernel_id": "31321484"}, {"ref": "jimgruman/competition-notebook", "kernel_id": "31200864"}, {"ref": "jimgruman/tidymodels-lightgbm", "kernel_id": "31174539"}, {"ref": "royalacecat/rank-190-but-i-choose-the-notebook-rank-780", "kernel_id": "31948600"}, {"ref": "duc120503/deberta-v3-base-baseline-pre-train", "kernel_id": "31866302"}, {"ref": "maverickss26/deberta-embedding-lstm-cnn-v2", "kernel_id": "31667974"}, {"ref": "maverickss26/deberta-family-inference", "kernel_id": "31851383"}, {"ref": "olegbaryshnikov/fb3-classification-regression-approach-inference", "kernel_id": "31036038"}, {"ref": "kilogrand/graph-neural-network-in-nlp", "kernel_id": "31755945"}, {"ref": "annizou/fb3-deberta-family-inference-weight-tune", "kernel_id": "31816745"}, {"ref": "hehailin/fb3-deberta-v3-base-baseline-train", "kernel_id": "31280893"}, {"ref": "sandeepmnair/word2vec-ml-approach", "kernel_id": "31966815"}, {"ref": "nohanway/notebook-feedback-prize-english", "kernel_id": "31228546"}, {"ref": "srikanthvarma07/notebook1", "kernel_id": "31339247"}, {"ref": "marcgoff/mcrmse-explanation-algorithm", "kernel_id": "31443483"}, {"ref": "marcgoff/statistical-feature-engineering-from-text", "kernel_id": "31477067"}, {"ref": "tommypinkman/hp-feedback-prize", "kernel_id": "31691518"}, {"ref": "nesrineazaiez/feedback-prize-english-language-learning", "kernel_id": "31574923"}, {"ref": "oumounimestapha/notebook174edb76cd", "kernel_id": "31772671"}, {"ref": "oumounimestapha/tfidf-svr", "kernel_id": "31649150"}, {"ref": "minhwiner123/notebook722573b15b", "kernel_id": "31828935"}, {"ref": "authormorgan/deberta-v3-18layer-5fold-12head-3-4", "kernel_id": "31556417"}, {"ref": "authormorgan/deberta-v3-18layer-5fold-12head-0-1-2", "kernel_id": "31556269"}, {"ref": "authormorgan/deberta-v3-base-4e-5lr", "kernel_id": "31131237"}, {"ref": "authormorgan/deberta-v3-large-pseudo-1", "kernel_id": "31037293"}, {"ref": "authormorgan/deberta-v3-large-pseudo-0", "kernel_id": "31037136"}, {"ref": "authormorgan/deberta-v3-large-apexoff-5fold-3-4", "kernel_id": "31450484"}, {"ref": "authormorgan/deberta-v3-large-apexoff-5fold-0-1-2", "kernel_id": "31450221"}, {"ref": "jocker3/feedback-prize-english-language-learning", "kernel_id": "31646218"}, {"ref": "tafreen/notebook-ell", "kernel_id": "31529048"}, {"ref": "estebangarciacarmona/kurrukukuis-submission", "kernel_id": "31981556"}, {"ref": "divyangmandani/feedback-prize-english-language-learning", "kernel_id": "31267745"}, {"ref": "lau01b/fb-3-train", "kernel_id": "31925947"}, {"ref": "alvinleenh/fb3-deberta-with-svr-ridge", "kernel_id": "31387866"}, {"ref": "sanmaprogramming/notebook-nlp-1", "kernel_id": "31848536"}, {"ref": "nowlookahead/lunaticnfx", "kernel_id": "31463713"}, {"ref": "abrafey/feedback-eda-and-model-selection", "kernel_id": "31667234"}, {"ref": "bryannho/svr-baseline", "kernel_id": "31873982"}, {"ref": "fujino15rin/train-deberta-v3-base", "kernel_id": "31227583"}, {"ref": "aimarz9/probamultitaskaimar", "kernel_id": "31348244"}, {"ref": "aimarz9/probasingletaskaimar", "kernel_id": "31594117"}, {"ref": "sr5htq/english-essay-feedback", "kernel_id": "31819710"}, {"ref": "alexryzhkov/feedback-prize-english-language-learn-kernels-stat", "kernel_id": "32176210"}, {"ref": "goldenlock/reproduce-20-2-models-no-pseudo", "kernel_id": "32858740"}, {"ref": "goldenlock/single-model-infer-pb-434635-pesudo", "kernel_id": "32865122"}, {"ref": "goldenlock/best-pb-then-add-pseudo-no-optuna", "kernel_id": "32893316"}, {"ref": "goldenlock/best-pb-online-1127", "kernel_id": "32760797"}, {"ref": "goldenlock/pb-433630-pseudo-optuna-tune", "kernel_id": "32814791"}, {"ref": "fx6300/eda-grammatical-sentences-get-better-lm-score", "kernel_id": "32179307"}, {"ref": "fx6300/eda-what-words-are-important-for-raising-vocab", "kernel_id": "32056746"}, {"ref": "fx6300/further-pre-train-deberta", "kernel_id": "32839424"}, {"ref": "danofer/fgm-fb3-deberta-v3-base-inference", "kernel_id": "32227673"}, {"ref": "girlduck/hfembedding-svr-infer", "kernel_id": "32175065"}, {"ref": "rashmibanthia/fb3-single-model-avg-2-seeds-gold-solution", "kernel_id": "32441854"}, {"ref": "aman1391/fb3-8th-place-solution-ensemble-27-models", "kernel_id": "32712826"}, {"ref": "illidan7/fb3-save-pretrained-embeddings", "kernel_id": "32294727"}, {"ref": "illidan7/fb3-hill-climb-pretrained-embeddings", "kernel_id": "32295247"}, {"ref": "illidan7/fb3-pretrained-embeddings-submission", "kernel_id": "32298547"}, {"ref": "pokmppokmp/feedback-text-reg-deberta-v2-cpu", "kernel_id": "32322343"}, {"ref": "pokmppokmp/feedback-reg-deberta-v2-v3-1vs9", "kernel_id": "32341101"}, {"ref": "parksu92/feedback-prize-english-language-pytorch-model", "kernel_id": "32186109"}, {"ref": "joeroberts/bert-with-transformer", "kernel_id": "32817850"}, {"ref": "joeroberts/model-one-hot-bidir-lstm", "kernel_id": "32743912"}, {"ref": "joeroberts/model-binary-2gram", "kernel_id": "32742464"}, {"ref": "joeroberts/model-counts-2gram", "kernel_id": "32742788"}, {"ref": "joeroberts/model-tf-idf-2gram", "kernel_id": "32743215"}, {"ref": "joeroberts/model-glove-bidir-lstm", "kernel_id": "32746235"}, {"ref": "joeroberts/model-glove-transformer", "kernel_id": "32747096"}, {"ref": "joeroberts/model-binary-1gram", "kernel_id": "32716152"}, {"ref": "joeroberts/model-bert-transfer-learning", "kernel_id": "32985250"}, {"ref": "prem134/bert-last-2-layers-retrain-and-globalmaxpool1d", "kernel_id": "32667927"}, {"ref": "huythach/fb3-output", "kernel_id": "32080132"}, {"ref": "msanselme/notebook1", "kernel_id": "32696283"}, {"ref": "currypurin/feedback3-duplication-with-past-competition-data", "kernel_id": "32007440"}, {"ref": "trushk/fb3-ensemble-hc-target-wise-full-models", "kernel_id": "32827752"}, {"ref": "schlagg/bert-inference", "kernel_id": "32334012"}, {"ref": "schlagg/2nd-try-bert-based-regression", "kernel_id": "32322955"}, {"ref": "skiplik/feedback-ell-w-pytorch-first-time-inference", "kernel_id": "32721394"}, {"ref": "josarago/0-45-score-with-lightgbm-and-deberta-feature", "kernel_id": "32334826"}, {"ref": "takamichitoda/fb3-efficiency-19th-scoringtime-is-345", "kernel_id": "32893274"}, {"ref": "jonbown/feedback-prize-candidate-model-exploration", "kernel_id": "32766585"}, {"ref": "jonbown/feedback-prize-feature-engineering", "kernel_id": "32843019"}, {"ref": "tikutiku/fb3-29-v1-11-deberta-v3-large-squad2", "kernel_id": "32521631"}, {"ref": "tikutiku/fb3-29-v1-02-deberta-v3-base", "kernel_id": "32521470"}, {"ref": "tikutiku/fb3-29-v1-04-deberta-v3-large", "kernel_id": "32521554"}, {"ref": "masakiaota/fb3-15th-place-solution-train-exp231", "kernel_id": "32962532"}, {"ref": "vitouphy/fb3-multi-task-prediction", "kernel_id": "32671734"}, {"ref": "vitouphy/feedback-prize-with-pretrained-tf-roberta", "kernel_id": "32006965"}, {"ref": "vitouphy/argument-segmentation-with-ner-roberta", "kernel_id": "32248109"}, {"ref": "realstay/cv0-43-fb3-pytorch-model", "kernel_id": "32130155"}, {"ref": "ravijoe/nlp-on-tpu-using-pytorch", "kernel_id": "32445111"}, {"ref": "kunduruanil/get-started-info-feedback-price", "kernel_id": "32465946"}, {"ref": "vinitkp/feedbackenglish-language-learning-submission", "kernel_id": "32525724"}, {"ref": "conjuring92/efficiency-xsmall-final", "kernel_id": "32810948"}, {"ref": "conjuring92/pl-sampling-analysis", "kernel_id": "32378406"}, {"ref": "kaerunantoka/fb3-pretrained-bert-family-xgb-train", "kernel_id": "32607715"}, {"ref": "kaerunantoka/fb3-private-14th-solution-code", "kernel_id": "32834182"}, {"ref": "kaerunantoka/fb3-stacking-nelder-mead", "kernel_id": "32799828"}, {"ref": "kaerunantoka/feedback3-n009", "kernel_id": "32784785"}, {"ref": "kaerunantoka/fb3-public-svr-024-infer", "kernel_id": "32438648"}, {"ref": "kaerunantoka/fb3-public-save-oof", "kernel_id": "32441213"}, {"ref": "batprem/shake-up-master", "kernel_id": "32766782"}, {"ref": "batprem/deberta-chain-lgbm-regression", "kernel_id": "32392586"}, {"ref": "batprem/deberta-layerwiselr-lastlayerreini-infer", "kernel_id": "32274757"}, {"ref": "irrohas/final-many-deberta-ridge", "kernel_id": "32828663"}, {"ref": "rachanabisht/ell-model-tokenizer-and-ann", "kernel_id": "32360404"}, {"ref": "rachanabisht/ell-simple-mor-svm", "kernel_id": "32434762"}, {"ref": "wallykop/fb3-pip-wheels", "kernel_id": "32611759"}, {"ref": "tadakasuryateja/deberta-layerwiselr-lastlayerreinit", "kernel_id": "32219444"}, {"ref": "jundthird/kor-deberta-base-layerwiselr-lastlayerreinit", "kernel_id": "32111703"}, {"ref": "abebe9849/medweb-mdeberta-b-baseline-w-2-t4-train", "kernel_id": "32001622"}, {"ref": "tanakar/fb3-ensemble-per-col", "kernel_id": "32222896"}, {"ref": "auhide/fine-tuning-distilbert-general-approach", "kernel_id": "32404795"}, {"ref": "rohitsingh9990/rapids-svr-embeddings", "kernel_id": "32553982"}, {"ref": "rohitsingh9990/weight-tuning-optuna", "kernel_id": "32941763"}, {"ref": "daominhkhanh/notebook618e835557-661ef2", "kernel_id": "32077397"}, {"ref": "daominhkhanh/notebook618e835557", "kernel_id": "32047531"}, {"ref": "daominhkhanh/fork-of-notebook430c398c17", "kernel_id": "32026754"}, {"ref": "themadrambito/63th-place-deberta-v3-large-private-0-436405", "kernel_id": "32920681"}, {"ref": "lonnieqin/fb3-with-lgbm", "kernel_id": "32565442"}, {"ref": "lonnieqin/fb3-with-ridge", "kernel_id": "32566755"}, {"ref": "lonnieqin/multi-label-regression-with-tfidf", "kernel_id": "32359710"}, {"ref": "lonnieqin/multi-label-regression-with-conv1d", "kernel_id": "32263292"}, {"ref": "andreyustinov/inference-notebook-stacking", "kernel_id": "32584701"}, {"ref": "neeekit/notebook747e163b41", "kernel_id": "32402273"}, {"ref": "rockerritesh/multi-label-regression-with-tfidf", "kernel_id": "32380554"}, {"ref": "ridwanultanvir/feedback-prize-fb3-pytorch-efficient", "kernel_id": "32118647"}, {"ref": "ridwanultanvir/feedback-prize-english-language-pytorch-model", "kernel_id": "32059678"}, {"ref": "ridwanultanvir/feedback-prize-bert-pretraining-approach", "kernel_id": "32139129"}, {"ref": "quangphm/lb-0-43-simple-ensemble-deberta-base-svr", "kernel_id": "32022439"}, {"ref": "quangphm/fb3-ridge-stacking-or-weight-tuning-or", "kernel_id": "32218927"}, {"ref": "tmhrkt/fb3-efficiency", "kernel_id": "32544454"}, {"ref": "tmhrkt/fb3-ensemble", "kernel_id": "32502229"}, {"ref": "tmhrkt/fb3-embedding-learning-training", "kernel_id": "32360114"}, {"ref": "johanmoncouti/is-bloom-a-teacher", "kernel_id": "32436227"}, {"ref": "ashokkumargarain/notebookc6d6177593", "kernel_id": "32796180"}, {"ref": "onkur7/complete-eda-feedback-price-english-language", "kernel_id": "32251285"}, {"ref": "yasirfalih/lab-1", "kernel_id": "32152970"}, {"ref": "kohashi0000/stacking-with-lr-0-46", "kernel_id": "32551876"}, {"ref": "fightingmuscle/8th-place-various-pooling-etc", "kernel_id": "32882656"}, {"ref": "kittyelephant/fb3-deberta-family-inference-weight-tune-6979f1", "kernel_id": "32377577"}, {"ref": "kittyelephant/deberta-layerwiselr-lastlayerreini-infer", "kernel_id": "32377842"}, {"ref": "tomoyayanagi/feedback3-stage2-ensemble-inference", "kernel_id": "32665534"}, {"ref": "paarthbhatnagar/fb3-pytorch-lightning-roberta-baseline-mlp", "kernel_id": "32307438"}, {"ref": "paarthbhatnagar/fb3-word-level-cnn-over-pretrained-embeddings", "kernel_id": "32557026"}, {"ref": "fakerhust/fork-of-notebook430c398c17", "kernel_id": "32035662"}, {"ref": "fakerhust/notebook618e835557", "kernel_id": "32046890"}, {"ref": "hotchpotch/fb3-infer-ens043-no-pl", "kernel_id": "32816718"}, {"ref": "nordstage2/ell-regression-attempt-b51ead", "kernel_id": "32614064"}, {"ref": "taemumu/fb3-single-pytorch-model-train", "kernel_id": "32054865"}, {"ref": "qcqced/fbp-baseline-train-pipeline", "kernel_id": "32262907"}, {"ref": "lyl7650/fb3-single-pytorch", "kernel_id": "32306649"}, {"ref": "junseonglee11/fb3-create-tfrecord", "kernel_id": "32446728"}, {"ref": "duc120503/curriculum-learning-data", "kernel_id": "32055141"}, {"ref": "maverickss26/deberta-embedding-textspacy-textstat-features", "kernel_id": "32085318"}, {"ref": "khanhdaom/notebook618e835557", "kernel_id": "32060474"}, {"ref": "hristinaaleksandrova/english-language-learning-notebook", "kernel_id": "32842773"}, {"ref": "shufflecss/fb3-english-language-learning", "kernel_id": "32287245"}, {"ref": "pzarzycki/ell-competition-simple-model", "kernel_id": "32646817"}, {"ref": "achrefsoua/misspelling-detection-using-languagetool", "kernel_id": "32203932"}, {"ref": "achrefsoua/preprocessing", "kernel_id": "32136150"}, {"ref": "mlbebebeginner/nlp-project", "kernel_id": "32785003"}, {"ref": "kilogrand/using-bert-to-augment-graph-neural-network", "kernel_id": "32307638"}, {"ref": "johnnytay/nlp-feedback-on-english-language-learning", "kernel_id": "32376864"}, {"ref": "mdbodrulalam/ell-feedback-prize-prediction", "kernel_id": "32125335"}, {"ref": "bachan/fb3-notebook-0-436099-private-lb", "kernel_id": "32432323"}, {"ref": "jasonchoi3/fb3-train-jasonchoi", "kernel_id": "32080844"}, {"ref": "kendevoe/ell-deberta-v3-base", "kernel_id": "32363921"}, {"ref": "jamesvsdadasd/neural-network", "kernel_id": "32013920"}, {"ref": "moritake04/private22nd-final-sub", "kernel_id": "32803331"}, {"ref": "pjmathematician/fb3-rank-113-top-5-0-43-final", "kernel_id": "32864427"}, {"ref": "marcgoff/more-engineered-quant-features", "kernel_id": "32249582"}, {"ref": "stasilyushin/pytorch-lightning-bert-base", "kernel_id": "32863724"}, {"ref": "liutaoisashabi/train-1", "kernel_id": "32031065"}, {"ref": "nikto547/model-building", "kernel_id": "32831984"}, {"ref": "minhwiner123/notebook618e835557", "kernel_id": "32049800"}, {"ref": "minhwiner123/notebook430c398c17", "kernel_id": "32028014"}, {"ref": "minhwiner123/fork-of-notebook722573b15b", "kernel_id": "32135672"}, {"ref": "bkforever/notebook102a8e5938", "kernel_id": "32146624"}, {"ref": "vivekyogi/english-langauage", "kernel_id": "32117066"}, {"ref": "iori76sushi/keras-lgb-simple-ensemble", "kernel_id": "32029798"}, {"ref": "iori76sushi/ell-roberta-cnn-multi-class-lgb", "kernel_id": "32387723"}, {"ref": "easkwon/fb3-deberta-family-inference-weight-tune", "kernel_id": "32310604"}, {"ref": "elainechun/fb3-single-pytorch-model-inference", "kernel_id": "32599106"}, {"ref": "vopolh/vopolh-deberta-3-large-model", "kernel_id": "32957502"}, {"ref": "anovayana/ell-tokenizer-logistic-regression", "kernel_id": "32264380"}, {"ref": "lau01b/fb-infer-last", "kernel_id": "32759446"}, {"ref": "jinzhenwang/singlefb3-deberta-v3-base-baseline-inference", "kernel_id": "32527527"}, {"ref": "negi0897/tfidfvectorizer", "kernel_id": "32503237"}, {"ref": "sambhramakhushi/sambhramassubmition", "kernel_id": "32604535"}, {"ref": "mr0106/f-p-e-l", "kernel_id": "32409874"}, {"ref": "sanmaprogramming/compe-nlp-feedback-english", "kernel_id": "32514812"}, {"ref": "andjmade/fb3-english-learning", "kernel_id": "32521583"}, {"ref": "fujino15rin/fork-of-train-deberta-v3-base", "kernel_id": "32455880"}, {"ref": "noemieren/bert1111", "kernel_id": "32055509"}, {"ref": "alexisterry/english", "kernel_id": "32740451"}, {"ref": "ritatsepeleva/notebook34921e58cf", "kernel_id": "32530149"}, {"ref": "regenyang/fb3-deberta-family-and-svr-inference", "kernel_id": "32667633"}, {"ref": "robinrojowiec/lstm-word-embeddings-attention", "kernel_id": "32507082"}, {"ref": "luludragon/bert-relu-softmax-multihead-solution-8387eb", "kernel_id": "32520232"}, {"ref": "pavelmalykh/roberta-fine-tunung", "kernel_id": "32764536"}, {"ref": "joeroberts/inference-bert-transfer-learning", "kernel_id": "33008325"}, {"ref": "cdeotte/3rd-place-solution-lb-0-4337-cv-0-4420", "kernel_id": "33305272"}, {"ref": "badsmruti/fasttextv2", "kernel_id": "33020513"}, {"ref": "vlomme/fork-of-fb3-fast-cpu", "kernel_id": "33233372"}, {"ref": "vlomme/fp3-train", "kernel_id": "33235384"}, {"ref": "dsohonosom/efficiency-3rd-place-deberta-v3-xsmall", "kernel_id": "33199536"}, {"ref": "dsohonosom/fpe-deberta-v3-xsmall-train", "kernel_id": "33170758"}, {"ref": "akershishukla/language-feedback-eda-feature-engineering", "kernel_id": "33122792"}, {"ref": "msreddygone/multi-output-tensorflow2", "kernel_id": "33043050"}, {"ref": "junseonglee11/debertav3-optuna-hyperparameter-tuning", "kernel_id": "33626137"}, {"ref": "chaulnn/td-idf-decision-tree", "kernel_id": "33557669"}, {"ref": "khrystynapankiv/ell-feedback", "kernel_id": "33243167"}, {"ref": "yurabelyakov/bazirovannayabaza", "kernel_id": "33131263"}, {"ref": "nmbailey/ell-feedback-prize-distilbert", "kernel_id": "33941356"}, {"ref": "senapatirajesh/eda-data-preprocessing", "kernel_id": "33787039"}, {"ref": "sagar2168616/feedback-prize-multiple-linear-regresion", "kernel_id": "33696276"}, {"ref": "dejinkumar/td-idf-decision-tree", "kernel_id": "33852315"}, {"ref": "dejinkumar/english-language-score-prediction-svr", "kernel_id": "33850489"}, {"ref": "dejinkumar/feedbackenglish-language-learning-submission", "kernel_id": "33916465"}, {"ref": "johnybhiduri/english-language-score-prediction-svr", "kernel_id": "33602514"}, {"ref": "bediiaydogan/fb3-efficiency-28th-place-training", "kernel_id": "33028544"}, {"ref": "bediiaydogan/fb3-efficiency-28th-place-inference", "kernel_id": "33036848"}, {"ref": "swarmy/english-language-learning-albert", "kernel_id": "33696822"}, {"ref": "ralphabb/fp3efffirstplacecommented", "kernel_id": "34170727"}, {"ref": "ralphabb/fp3effsecondplacecommented", "kernel_id": "34170732"}, {"ref": "themadrambito/pretrain-deberta-as-a-discriminator", "kernel_id": "34153859"}, {"ref": "neeekit/notebook0298e29700", "kernel_id": "34269448"}, {"ref": "baptistesauvecanne/feedback-prize-english-language-learning", "kernel_id": "34527797"}, {"ref": "subhankarnag/ell-best-solution", "kernel_id": "34342729"}, {"ref": "aneesh10/electra-giving-feedbacks", "kernel_id": "34318160"}, {"ref": "dejinkumar/eda-data-preprocessing", "kernel_id": "34021941"}, {"ref": "ndeperrois/feedback-prize-multiregression-with-bert", "kernel_id": "35771130"}, {"ref": "vad13irt/language-models-pre-training", "kernel_id": "35258341"}, {"ref": "mrscofield/feedback-prize-english-universal-sentence-encoder", "kernel_id": "35390308"}, {"ref": "roshitab/graph-neural-network-in-nlp", "kernel_id": "35551732"}, {"ref": "skrisss/feedback-prize-deberta-simple-solution", "kernel_id": "35337708"}, {"ref": "egorgladilin/pytorch-deberta-v3-large", "kernel_id": "35019517"}, {"ref": "aneeshmak/data-preprocessing", "kernel_id": "35100960"}, {"ref": "gabriellegaudeau/ellipse-single-encoder-multiple-heads", "kernel_id": "35335710"}, {"ref": "lllljm/roberta-demo-0-46", "kernel_id": "36831559"}, {"ref": "ezzashraf056/deberta", "kernel_id": "36983581"}, {"ref": "emiami/efficiency-3rd-place-deberta-v3-xsmall-sh-ap", "kernel_id": "36890061"}, {"ref": "gabriellegaudeau/ellipse-shared-encoder", "kernel_id": "36621901"}, {"ref": "auryo21/deberta", "kernel_id": "36965938"}, {"ref": "ralphabb/fp3effthirdplacecommented", "kernel_id": "37482595"}, {"ref": "noussaons/essay-clustering-topic-modeling", "kernel_id": "37577571"}, {"ref": "noussaons/explain-your-teacher-s-grades-xai", "kernel_id": "37939599"}, {"ref": "advaithshet/tf-idf", "kernel_id": "37766850"}, {"ref": "samfouad/predict-student-performance-eda-and-mlm", "kernel_id": "37009413"}, {"ref": "ralphabb/fp3leadfirstcomm", "kernel_id": "38356588"}, {"ref": "evgeniimaslov2/merged-submission-01-974590", "kernel_id": "38034912"}, {"ref": "ayushjha7/feedback-prize-ell-bow-tfifd-w2v", "kernel_id": "38222323"}, {"ref": "gabriellegaudeau/ellipse-baseline-outliers", "kernel_id": "38742821"}, {"ref": "emxheena/english-language-learning-nlp-lstm-tensorflow", "kernel_id": "39721008"}, {"ref": "mrohaankhan/english-language-learning-ipynb", "kernel_id": "39496934"}, {"ref": "mrohaankhan/seq2seq-for-ell", "kernel_id": "39574408"}, {"ref": "vanshikagupta1136/essay-score-prediction-using-word2vec-and-lstm", "kernel_id": "39563647"}, {"ref": "satyabrat35/ell-tfidf-ridge-gb", "kernel_id": "40798001"}, {"ref": "seiker/kaggle-nlp-ell-distilbert", "kernel_id": "40758047"}, {"ref": "suraj520/xlm-roberta-know-train-infer", "kernel_id": "40310250"}, {"ref": "vikramsandu/commonlit-mlm", "kernel_id": "41600870"}, {"ref": "bryansancho/using-transformers-for-the-first-time-pytorch", "kernel_id": "41371219"}, {"ref": "dskavinskaya/explore-handling-large-texts", "kernel_id": "41889724"}, {"ref": "dennislin27/plots", "kernel_id": "41493199"}, {"ref": "hughtanhao/deberta-train", "kernel_id": "41346681"}, {"ref": "wenjingliu/fork-of-english-language-learning-157754", "kernel_id": "43355076"}, {"ref": "wenjingliu/20230910-github-repo-uploaded-by-github-action", "kernel_id": "43018050"}, {"ref": "steveroberts/llm-science-model-download", "kernel_id": "43942901"}, {"ref": "wisawesome/24th-place-eff-prize-feedback-prize-ell-train", "kernel_id": "43509361"}, {"ref": "wisawesome/24th-place-eff-prize-feedback-prize-ell-infer", "kernel_id": "43511024"}, {"ref": "steveroberts/llm-science-deberta-model-download", "kernel_id": "44177259"}, {"ref": "lonnieqin/single-cell-perturbation-with-conv1d", "kernel_id": "44766481"}, {"ref": "thedrcat/detectai-transformers-baseline", "kernel_id": "45433741"}, {"ref": "hotchpotch/llm-detect-pip", "kernel_id": "45464951"}, {"ref": "andjmade/fork-of-fb3-english-learning", "kernel_id": "45370087"}, {"ref": "nguynthhi/notebooke778fa6ca8", "kernel_id": "46453756"}, {"ref": "yeoyunsianggeremie/llm-detect-pip", "kernel_id": "47783215"}, {"ref": "mustafakeser4/labelling-detect-ai-interactive-labelling-tool", "kernel_id": "48726121"}, {"ref": "mustafakeser4/train-detectai-distilroberta-0-927", "kernel_id": "48928834"}, {"ref": "scottnewcomer/language-proficiency-non-llm", "kernel_id": "48295303"}, {"ref": "gauravbrills/train-detectai-bert-deberta-distil", "kernel_id": "49025740"}, {"ref": "junruiwang/llm-detect-pip-386020", "kernel_id": "49544531"}, {"ref": "dileepjayamal/lstm-transformer-0-955", "kernel_id": "49200756"}, {"ref": "kagglemini/feedbackargu", "kernel_id": "49677025"}, {"ref": "qsvwk406/feedbackargu", "kernel_id": "49730886"}, {"ref": "santhoshkumarv/fb3-pytorch-distilbert-base-uncase-with-lora", "kernel_id": "50063791"}, {"ref": "tonymarkchris/train-detectai-deberta", "kernel_id": "50469004"}, {"ref": "santhoshkumarv/fb3-pytorch-distilbert-base-uncase-with-dora", "kernel_id": "51180481"}, {"ref": "hashidoyuto/eda-text-clustering-aes2-0", "kernel_id": "53971563"}, {"ref": "batprem/fb3-deberta-family-inference-9-28-updated", "kernel_id": "56312381"}, {"ref": "piantic/lmsys-pip-wheels", "kernel_id": "56189168"}, {"ref": "datafan07/some-extra-features-cv-0-83", "kernel_id": "57199197"}, {"ref": "claudio966/llm-detect-pip", "kernel_id": "57767795"}, {"ref": "hdrbozkurtt/learning-agency-lab-automated-essay-scoring-2-0", "kernel_id": "57318870"}, {"ref": "cardata/feedback-prize-data-analysis", "kernel_id": "57285435"}, {"ref": "traitimtannat/bpe-tokenizer-lstm-embeddings", "kernel_id": "57253007"}, {"ref": "thanhtumama123/notebook8c1a34ad75", "kernel_id": "58388073"}, {"ref": "suj20n9/feedback", "kernel_id": "58790324"}, {"ref": "jackyu815/sklearn-vs-rapids-svr-english-language-learning", "kernel_id": "59032497"}, {"ref": "suj20n9/method3", "kernel_id": "59893536"}, {"ref": "suj20n9/method2", "kernel_id": "59893341"}, {"ref": "jujoooo/fpe-deberta-v3-xsmall-train", "kernel_id": "59789755"}, {"ref": "tasfiqkamran/feedback-prize-3", "kernel_id": "60556177"}, {"ref": "drchenb/feedback2", "kernel_id": "60765138"}, {"ref": "tasfiqkamran/aes2-pip-wheels", "kernel_id": "61156228"}, {"ref": "anfoxy/nlp-train-2", "kernel_id": "61670923"}, {"ref": "woofery/llm-pip-20240728", "kernel_id": "62973698"}, {"ref": "sinhprous96/llm-detect-pip", "kernel_id": "63024057"}, {"ref": "mohammadkmd/notebooka706cce3e8", "kernel_id": "68839374"}, {"ref": "anirudhch0304/ell-decision-tree-regressor-1-0", "kernel_id": "69968001"}, {"ref": "shenzeyuan/englishrating", "kernel_id": "76020879"}, {"ref": "vyacheslavoschepkov/feedback-prize", "kernel_id": "80167796"}, {"ref": "narciss577/graph-neural-network-in-nlp", "kernel_id": "82745077"}, {"ref": "askeita/feedback-prize-english-learning-spbu", "kernel_id": "83544310"}, {"ref": "askeita/final-feedback-prize-english-learning-spbu", "kernel_id": "83885120"}, {"ref": "mtinti/rapids-smiles", "kernel_id": "87199794"}, {"ref": "thekidends/feedback-prize-freezed-encoder", "kernel_id": "87241038"}, {"ref": "ivank04/llm-detect-pip", "kernel_id": "88055784"}, {"ref": "tinhunh3005/english-language-learning-complete-eda", "kernel_id": "90029944"}, {"ref": "heiswicked/ar-fb3-deberta-family-inference-9-28-updated", "kernel_id": "95928887"}, {"ref": "heiswicked/ar-fb3-deberta-family-inference-9-28-updat-2bcc06", "kernel_id": "95928958"}, {"ref": "lunhuanzha/utilizing-transformer-representations-efficiently", "kernel_id": "98871699"}, {"ref": "tejakarri/ml-project-essay-scoring", "kernel_id": "99602044"}, {"ref": "tejakarri/baseline-tfidf-ridge-regression", "kernel_id": "101202032"}, {"ref": "taseensadatteam/utilizing-transformer-representations-efficiently", "kernel_id": "106236935"}, {"ref": "mosoya/team17-6125", "kernel_id": "118768388"}, {"ref": "kartikbisht09/notebookd1ad1239c2", "kernel_id": "129704374"}, {"ref": "matthewjansen/aes-2-0-efficiency-6th-place-ell-model", "kernel_id": "135291252"}]}
{"competition_id": "38328", "kernels": [{"ref": "prashanthacsq/mbaza-cnn-1", "kernel_id": "30144320"}]}
{"competition_id": "38333", "kernels": []}
{"competition_id": "38494", "kernels": [{"ref": "igorkf/eda-genentech-non-missing-vs-missing", "kernel_id": "30808930"}, {"ref": "bcebere/genentech-404-6th-place-solution", "kernel_id": "32361981"}]}
{"competition_id": "38497", "kernels": []}
{"competition_id": "38508", "kernels": [{"ref": "yagli18/tab-hack-2-0", "kernel_id": "29987987"}, {"ref": "code2ashish/baised-xgb", "kernel_id": "30355392"}, {"ref": "amitpareek986745/tab-hackathon-xgboost", "kernel_id": "30289440"}, {"ref": "varunnagpalspyz/weighted-average-ensembling", "kernel_id": "30106013"}, {"ref": "varunnagpalspyz/catboost-tab-hack-2-0", "kernel_id": "30105692"}, {"ref": "varunnagpalspyz/lightgbm-tab-hack-2-0", "kernel_id": "30112501"}, {"ref": "varunnagpalspyz/xgboost-tab-hack-2-0", "kernel_id": "30069305"}]}
{"competition_id": "38510", "kernels": [{"ref": "grupohackaton2022/hackathon-notebook", "kernel_id": "29996868"}, {"ref": "gilsonjrs/hackathon-orion", "kernel_id": "30378385"}, {"ref": "lucaspillapimentel/treinando-modelos-de-segmenta-o-worcap22", "kernel_id": "30349094"}, {"ref": "lucaspillapimentel/visualizando-o-dataset-worcap22", "kernel_id": "30151471"}, {"ref": "cesaramcosta/hackathon-notebook-group-by-rs-2022-09-08", "kernel_id": "30222977"}]}
{"competition_id": "38544", "kernels": []}
{"competition_id": "38547", "kernels": []}
{"competition_id": "38560", "kernels": [{"ref": "mgw917/protect-web3-easyensemble-benchmark-model", "kernel_id": "30078202"}, {"ref": "oliversoptq/malicious-wallet-visualization-graph", "kernel_id": "30354208"}]}
{"competition_id": "38571", "kernels": []}
{"competition_id": "38574", "kernels": [{"ref": "simplyshravan/telecom-churn-competetion", "kernel_id": "30288347"}]}
{"competition_id": "38575", "kernels": []}
{"competition_id": "38615", "kernels": []}
{"competition_id": "38636", "kernels": []}
{"competition_id": "38638", "kernels": [{"ref": "ivanstebakov/sumbit", "kernel_id": "30145270"}, {"ref": "ivanstebakov/train-mlp", "kernel_id": "30142353"}]}
{"competition_id": "38659", "kernels": []}
{"competition_id": "38670", "kernels": []}
{"competition_id": "38680", "kernels": [{"ref": "keerhee/finance-ai-hackathon-2", "kernel_id": "30135845"}, {"ref": "choiyoungmin/finance-ai-hackathon-simple-lgbm", "kernel_id": "30095095"}, {"ref": "choiyoungmin/fast-xgboost-cv", "kernel_id": "30207198"}, {"ref": "yoonyanghyun/finance-ai-hackathon-selectkbest", "kernel_id": "30145584"}, {"ref": "yoonyanghyun/finance-ai-hackathon-rf", "kernel_id": "30145408"}, {"ref": "yoonyanghyun/finance-ai-hackathon-lgbm", "kernel_id": "30144759"}, {"ref": "yoonyanghyun/finance-ai-hackorthon-stacking-ensemble", "kernel_id": "30206242"}, {"ref": "winhoho/finance-ai-hackathon", "kernel_id": "30144333"}, {"ref": "kimhongkwon1/simple-lgbm-kimhk", "kernel_id": "32023582"}, {"ref": "keerhee/simple-lgbm-dr-rhee", "kernel_id": "41989347"}, {"ref": "choiyoungmin/test-20230806", "kernel_id": "41812357"}, {"ref": "ejp98004/simple-lgbm-ejp", "kernel_id": "45285885"}, {"ref": "dannydanny81/finance-ai-hackorthon-danny-stacking-ensemble", "kernel_id": "46442571"}]}
{"competition_id": "38684", "kernels": []}
{"competition_id": "38690", "kernels": []}
{"competition_id": "38691", "kernels": []}
{"competition_id": "38692", "kernels": []}
{"competition_id": "38699", "kernels": []}
{"competition_id": "38725", "kernels": []}
{"competition_id": "38742", "kernels": []}
{"competition_id": "38760", "kernels": [{"ref": "konradb/dataset-as-df", "kernel_id": "31929521"}, {"ref": "inversion/read-a-chunk-of-jsonl", "kernel_id": "31910163"}, {"ref": "radek1/co-visitation-matrix-simplified-imprvd-logic", "kernel_id": "31983370"}, {"ref": "radek1/howto-full-dataset-as-parquet-csv-files", "kernel_id": "31963377"}, {"ref": "radek1/eda-a-look-at-the-data-training-splits", "kernel_id": "31964119"}, {"ref": "radek1/last-20-aids", "kernel_id": "31965583"}, {"ref": "radek1/a-robust-local-validation-framework", "kernel_id": "31990331"}, {"ref": "mdfarzana/otto-traindata-json-to-df", "kernel_id": "31929636"}, {"ref": "ttahara/otto-mors-aid-frequency-baseline", "kernel_id": "31910371"}, {"ref": "ttahara/last-aid-20", "kernel_id": "31937237"}, {"ref": "ttahara/otto-mors-pre-extract-similar-aids", "kernel_id": "31983591"}, {"ref": "whitelily/co-occurrence-baseline", "kernel_id": "31949269"}, {"ref": "vslaykovsky/co-visitation-matrix", "kernel_id": "31936023"}, {"ref": "aliphya/otto-basic-eda", "kernel_id": "31917985"}, {"ref": "tj0612/eda-understand-user-behavior-via-digraph", "kernel_id": "31972098"}, {"ref": "cdeotte/test-data-leak-lb-boost", "kernel_id": "31977898"}, {"ref": "gunesevitan/otto-multi-objective-recommender-system-pickle", "kernel_id": "31921352"}, {"ref": "gunesevitan/otto-multi-objective-recommender-system-eda", "kernel_id": "31935815"}, {"ref": "mvvppp/otto-eda-to-getting-started", "kernel_id": "31926819"}, {"ref": "mpwolke/i-m-so-chunked", "kernel_id": "31912054"}, {"ref": "daquarti/reading-jsonl-data-using-huggingface-datasets", "kernel_id": "31913242"}, {"ref": "andradaolteanu/otto-i-was-warned-this-one-is-complicated", "kernel_id": "31931776"}, {"ref": "adamnarozniak/full-otto-dataset-in-csv-for-pandas", "kernel_id": "31947398"}, {"ref": "tomooinubushi/test-dataset-is-all-we-need", "kernel_id": "31987441"}, {"ref": "columbia2131/otto-read-a-chunk-of-jsonl-to-manageable-df", "kernel_id": "31915867"}, {"ref": "columbia2131/otto-fast-dataframe-loading-in-parquet-format", "kernel_id": "31917130"}, {"ref": "simamumu/old-test-data-last-20-aid-get-lb0-947", "kernel_id": "31932084"}, {"ref": "edwardcrookenden/otto-getting-started-eda-baseline", "kernel_id": "31910360"}, {"ref": "takaito/otto-word2vec-tutorial", "kernel_id": "31930540"}, {"ref": "takaito/otto-topic-model-tutorial", "kernel_id": "31926691"}, {"ref": "hlgdatascience/reading-the-json-lines-input", "kernel_id": "31914556"}, {"ref": "xxxxyyyy80008/how-to-read-a-big-json-file-with-python", "kernel_id": "31925072"}, {"ref": "xxxxyyyy80008/otto-multi-objective-recommender-system-eda", "kernel_id": "31914949"}, {"ref": "hanzhou0315/co-visitation-matrix", "kernel_id": "31963916"}, {"ref": "satyaprakashshukl/json-to-csv-file", "kernel_id": "31988628"}, {"ref": "nemo43/otto-is-it-sale-eda", "kernel_id": "31961575"}, {"ref": "tompaulat/otto-bidirectional-lstm", "kernel_id": "31928646"}, {"ref": "alexryzhkov/otto-recommender-kernel-stats", "kernel_id": "32177667"}, {"ref": "n3n77i/otto-light", "kernel_id": "32859109"}, {"ref": "radek1/polars-proof-of-concept-lgbm-ranker", "kernel_id": "32352117"}, {"ref": "radek1/matrix-factorization-pytorch-merlin-dataloader", "kernel_id": "32450829"}, {"ref": "radek1/training-an-xgboost-ranker-on-the-gpu", "kernel_id": "32779385"}, {"ref": "radek1/2-methods-how-to-ensemble-predictions", "kernel_id": "32621710"}, {"ref": "radek1/word2vec-how-to-training-and-submission", "kernel_id": "32671875"}, {"ref": "danofer/candidate-rerank-model-lb-0-573", "kernel_id": "32257468"}, {"ref": "dfalbel/r-5-min-to-jsonl-parquet", "kernel_id": "32471023"}, {"ref": "pappukrjha/readdata-python-stack-method", "kernel_id": "32404729"}, {"ref": "crained/otto-rename-columns", "kernel_id": "32395254"}, {"ref": "crained/otto-how-many", "kernel_id": "32526961"}, {"ref": "crained/otto-breaking-out-the-dates", "kernel_id": "32434347"}, {"ref": "crained/otto-beginner-s-guide-to-aid", "kernel_id": "32598808"}, {"ref": "virilo/current-notebook-versions-pin-to-2022-10-20", "kernel_id": "32614298"}, {"ref": "jsmithperera/chris-deotte-s-rr-suggest-carts-65-0-575", "kernel_id": "32508247"}, {"ref": "adaubas/otto-co-visisitation-matrices", "kernel_id": "32944081"}, {"ref": "adaubas/otto-fast-handcrafted-model-recall-20", "kernel_id": "32944207"}, {"ref": "adaubas/otto-prepare-valid-test", "kernel_id": "32906446"}, {"ref": "adaubas/otto-interesting-times-series-eda-on-products", "kernel_id": "32681426"}, {"ref": "krivonogov/otto-generate-cv-split-dataset", "kernel_id": "32950257"}, {"ref": "nikolayvdovin/create-otto-data", "kernel_id": "32329246"}, {"ref": "timbodenka/otto-comp-nb-v01", "kernel_id": "32289156"}, {"ref": "cv13j0/otto-multi-objective-recommender-system", "kernel_id": "32711549"}, {"ref": "dpalbrecht/fast-co-visitation-matrix", "kernel_id": "32113777"}, {"ref": "isaienkov/data-preparation-for-graph-convolutional-network", "kernel_id": "32287637"}, {"ref": "pavanbagli/otto-train-data-json-to-tfrecord", "kernel_id": "32175815"}, {"ref": "danielliao/implement-radek-s", "kernel_id": "32455205"}, {"ref": "danielliao/kaggle-local-validation-framework-otto", "kernel_id": "32375519"}, {"ref": "danielliao/recreate-otto-full-optimized-memory-footprint", "kernel_id": "32182796"}, {"ref": "danielliao/eda-an-overview-of-the-full-dataset", "kernel_id": "32185501"}, {"ref": "danielliao/kaggle-access-parquet-otto", "kernel_id": "32162351"}, {"ref": "danielliao/compute-validation-score-cv-565", "kernel_id": "32746258"}, {"ref": "danielliao/reading-otto-recsys-organizer-scripts", "kernel_id": "32966236"}, {"ref": "danielliao/data-missing-from-local-validation", "kernel_id": "32869767"}, {"ref": "parthpankajtiwary/otto-eda-understanding-users-and-events", "kernel_id": "32568605"}, {"ref": "emphymachine/22-os", "kernel_id": "32279881"}, {"ref": "snnclsr/transformers4rec-synthetic-data-example", "kernel_id": "32001056"}, {"ref": "nnjjpp/linking-products-with-conditional-probabilities", "kernel_id": "32597283"}, {"ref": "ingvarasgalinskas/item-type-vs-multiple-clicks-vs-latest-items", "kernel_id": "32142857"}, {"ref": "brycexxx/prepare-data", "kernel_id": "32398431"}, {"ref": "alexz0/fast-co-visitation-performance", "kernel_id": "32400023"}, {"ref": "swordfaith/otto-rs-jsonl-to-wide-parquet", "kernel_id": "32155524"}, {"ref": "cdeotte/compute-validation-score-cv-565", "kernel_id": "32203455"}, {"ref": "cdeotte/candidate-rerank-model-lb-0-575", "kernel_id": "32203507"}, {"ref": "cdeotte/time-series-eda-users-and-real-sessions", "kernel_id": "32338879"}, {"ref": "kooaslansefat/proof-of-concept-catboost-ranker", "kernel_id": "32650678"}, {"ref": "realstay/otto-lb-0-574-fast-framework", "kernel_id": "32490164"}, {"ref": "realstay/otto-getting-started-eda-baseline", "kernel_id": "32489552"}, {"ref": "theoviel/pretraining-with-merlin-s-transformers4rec", "kernel_id": "32134391"}, {"ref": "dellalkhaled/shoppredict-v-0", "kernel_id": "32832830"}, {"ref": "sankkan/starter-notebook", "kernel_id": "32076861"}, {"ref": "rayanaay/erfp-baseline-event-recency-frequency-popularity", "kernel_id": "32638901"}, {"ref": "rayanaay/node2vec-a-biased-random-walk-approach", "kernel_id": "32703806"}, {"ref": "rayanaay/popularity-based-recommendation", "kernel_id": "32404819"}, {"ref": "gunesevitan/otto-mors-aid-frequency-baseline-analysis", "kernel_id": "32121413"}, {"ref": "seunghwan1228/cheking-oov-test-aid", "kernel_id": "32667537"}, {"ref": "carnozhao/otto-fast-cpu-end-to-end-pipeline", "kernel_id": "32275662"}, {"ref": "rahanapa/otto-recommender", "kernel_id": "32383371"}, {"ref": "kamaljp/pysparking-ottodata", "kernel_id": "32616228"}, {"ref": "kanygin/fast-way-to-convert-jsonl-parquet", "kernel_id": "32333028"}, {"ref": "sbunzini/user-item-collaborative-filtering-ensemble", "kernel_id": "32648479"}, {"ref": "sbunzini/carts-and-orders-follow-clicks", "kernel_id": "32866624"}, {"ref": "andreyzotov/way-to-blend-different-subs", "kernel_id": "32073659"}, {"ref": "pyagoubi/behavioural-patterns", "kernel_id": "32402678"}, {"ref": "andrejzuba/jsonl-to-csv", "kernel_id": "32287478"}, {"ref": "readoc/otto-v2", "kernel_id": "32478806"}, {"ref": "welemhretwelay/multiobjective-recommender-system", "kernel_id": "32928698"}, {"ref": "ridwanultanvir/otto-transformers4rec-recommender", "kernel_id": "32097199"}, {"ref": "tatamikenn/otto-possible-inconsistent-events", "kernel_id": "32427574"}, {"ref": "tatamikenn/otto-eda-over-sessions", "kernel_id": "32353834"}, {"ref": "vovinsa/working-with-data", "kernel_id": "32698606"}, {"ref": "shafiqueurrehman/otto-preparing-data", "kernel_id": "32134002"}, {"ref": "tzhkuku/otto-multi-objective-recommender-system-eda", "kernel_id": "32079008"}, {"ref": "tzhkuku/otto-multi-objective-recommender-system-75606d", "kernel_id": "32079009"}, {"ref": "hlgdatascience/conditional-probability-distributions-of-the-event", "kernel_id": "32087802"}, {"ref": "hlgdatascience/visualizing-session-data-in-a-timeline", "kernel_id": "32027469"}, {"ref": "royalstag/data-preprocessing-with-pyspark", "kernel_id": "32676149"}, {"ref": "ranjitrjadhawar/otto-mors-data-etl", "kernel_id": "32741578"}, {"ref": "pietromaldini1/otto-best-single-model-tuned-co-visit", "kernel_id": "32648139"}, {"ref": "pietromaldini1/multiple-clicks-vs-latest-items", "kernel_id": "32059238"}, {"ref": "zyhchasel/otto-fast-baseline", "kernel_id": "32940702"}, {"ref": "growbigger/bayesianpersonalizedranking", "kernel_id": "32428961"}, {"ref": "growbigger/refactor-candidate-rerank-model", "kernel_id": "32220566"}, {"ref": "growbigger/eda-more-orders-in-sunday", "kernel_id": "32164461"}, {"ref": "growbigger/code-explanation-of-0-570-notebook", "kernel_id": "32154150"}, {"ref": "junjitakeshima/otto-easy-understanding-for-beginner-en", "kernel_id": "32755199"}, {"ref": "marvengers/recommendation-engine", "kernel_id": "32355474"}, {"ref": "corneliuskristianto/otto-fast-dataframe-loading-in-parquet-format", "kernel_id": "32525686"}, {"ref": "lekien/eda-baseline", "kernel_id": "32112053"}, {"ref": "fedorlomakin/bowling-otto-f", "kernel_id": "32241224"}, {"ref": "joydeep69/candidate-rerank-model-lb-0-574", "kernel_id": "32395206"}, {"ref": "jamesyiao/baseline", "kernel_id": "32940048"}, {"ref": "mohdmuttalib/otto-eda", "kernel_id": "32632034"}, {"ref": "himanshunayal/no-ml-public-lb-0-579-priv-lb-0-578", "kernel_id": "32247983"}, {"ref": "mizuny/otto-eda-notebook", "kernel_id": "32958798"}, {"ref": "ranchantan/otto-train-test-event", "kernel_id": "32966321"}, {"ref": "huyduong7101/otto-build-covisitations-test", "kernel_id": "32939010"}, {"ref": "huyduong7101/otto-eda-whole-set", "kernel_id": "32115838"}, {"ref": "alexandershumilin/otto-word2vec", "kernel_id": "32732039"}, {"ref": "alexandershumilin/otto-baseline", "kernel_id": "32066884"}, {"ref": "ashishmotwani/type-vs-clicks-vs-latest-items", "kernel_id": "32150306"}, {"ref": "sangeetatipnisnag/notebook6fbd591e6c", "kernel_id": "32554097"}, {"ref": "prasadmjadhav2/multi-objective-recommender-system", "kernel_id": "32380627"}, {"ref": "tuongkhang/otto-pipeline2-lb-0-576", "kernel_id": "32689037"}, {"ref": "circleofcare/exploartory-analysis-of-otto-data", "kernel_id": "32645116"}, {"ref": "ryumei/otto-eda", "kernel_id": "32558199"}, {"ref": "titericz/dask-cudf-example", "kernel_id": "33352352"}, {"ref": "cpmpml/matrix-factorization-with-gpu", "kernel_id": "33115722"}, {"ref": "muddywaters23/matrix-factorization-with-pytorch", "kernel_id": "33821112"}, {"ref": "shravankumar147/can-we-use-fastai", "kernel_id": "33061198"}, {"ref": "danielliao/create-validation-jsonl-by-organizer-script", "kernel_id": "33636927"}, {"ref": "danielliao/peek-at-otto-jsonl-dataset", "kernel_id": "33637245"}, {"ref": "danielliao/no-cold-start-aid-in-validation", "kernel_id": "33652864"}, {"ref": "danielliao/reimplement-otto-train-validation-in-polars", "kernel_id": "33678731"}, {"ref": "danielliao/4th-validation-set-jsonl", "kernel_id": "33739786"}, {"ref": "danielliao/a-simple-pipeline", "kernel_id": "33735205"}, {"ref": "danielliao/reimplement-test-sessions-labels-validation", "kernel_id": "33704422"}, {"ref": "danielliao/reimplement-test-sessions-full-validation", "kernel_id": "33681487"}, {"ref": "danielliao/simple-pipeline-otto-1", "kernel_id": "33757078"}, {"ref": "danielliao/otto-getting-started-eda-baseline", "kernel_id": "33149655"}, {"ref": "jpnewmenji/eda-first-step", "kernel_id": "33797948"}, {"ref": "narendra/item2vec-gpu-train", "kernel_id": "33953952"}, {"ref": "narendra/otto-transformer-baseline", "kernel_id": "33976429"}, {"ref": "ikogias/pre-process-with-pyspark-into-parquet", "kernel_id": "33435556"}, {"ref": "fooqoo/create-the-features-for-ranker-model", "kernel_id": "33630792"}, {"ref": "fooqoo/create-co-visitation-matrix-for-cv", "kernel_id": "33760747"}, {"ref": "fooqoo/create-features-for-cv", "kernel_id": "33761163"}, {"ref": "yamsam/recbole-gru4rec-sample-code", "kernel_id": "33216821"}, {"ref": "weiqiu/compute-validation-score-cv-565", "kernel_id": "33980246"}, {"ref": "cdeotte/user-eda-with-rapids-tsne-and-matrix-factorization", "kernel_id": "33162423"}, {"ref": "littlezombie/otto-fast-baseline", "kernel_id": "33139071"}, {"ref": "utm529fg/otto-tuning-candidate-rerank-model-lb-0-577", "kernel_id": "33733763"}, {"ref": "plumeria/otta-analaysis", "kernel_id": "33653121"}, {"ref": "itong1900/similary-scores-baseline", "kernel_id": "33276015"}, {"ref": "alexlods/candidate-generation-lgbm-ranker-model", "kernel_id": "33855587"}, {"ref": "dellalkhaled/shop-predictor-integers-distribution", "kernel_id": "33473348"}, {"ref": "kevintakano/deep-matrix-factorization", "kernel_id": "33102330"}, {"ref": "rayanaay/gnn-embeddings-for-users-and-items", "kernel_id": "33357543"}, {"ref": "rayanaay/pagerank-on-co-visitation-matrices", "kernel_id": "33473450"}, {"ref": "rayanaay/top-k-neighbors-extraction-polars", "kernel_id": "33274693"}, {"ref": "rayanaay/graph-neural-network-graphsage-sample-agregate", "kernel_id": "33243173"}, {"ref": "yokoyamadayo/polars-proof-of-concept-lgbm-ranker", "kernel_id": "33057339"}, {"ref": "seholee/otto-generate-features-for-training", "kernel_id": "33870872"}, {"ref": "seholee/memory-management-techniques-for-beginners", "kernel_id": "33167045"}, {"ref": "yuriao/otto-simply-reverses-of-aids-gives-0-46-score", "kernel_id": "33829384"}, {"ref": "jaloeffe92/otto-baselinesubmission", "kernel_id": "33001448"}, {"ref": "balaganiarz0/word2vec-model-local-validation", "kernel_id": "33738422"}, {"ref": "balaganiarz0/word2vec-model-training-and-submission-0-533", "kernel_id": "33977790"}, {"ref": "hdong5/eda-based-on-whole-dataset-continue-updating", "kernel_id": "33154852"}, {"ref": "hdong5/compute-validation-based-on-co-visitation", "kernel_id": "33235710"}, {"ref": "hdong5/faster-with-co-visitation", "kernel_id": "33532630"}, {"ref": "millak/understand-basic-merging", "kernel_id": "33631239"}, {"ref": "saraswatitiwari/otto-multi-objective-recommender-system", "kernel_id": "33217182"}, {"ref": "pyagoubi/bert4rec-transformer-w-word2vec-embedding", "kernel_id": "33956063"}, {"ref": "guanghan/co-visitation-matrix-generation", "kernel_id": "33505569"}, {"ref": "guanghan/train-test-split-feature-generate", "kernel_id": "33445955"}, {"ref": "guanghan/otto-gbranker-ds", "kernel_id": "33449250"}, {"ref": "guanghan/otto-ds-baseline", "kernel_id": "33123816"}, {"ref": "gabrielvinicius/otto-a-dip-in-the-data", "kernel_id": "33270777"}, {"ref": "cabbage972/otto-fast-local-cv-score-with-polars", "kernel_id": "33590475"}, {"ref": "tetsuro731/duplicate-fix-otto-tuning-pipeline2-lb-0-577", "kernel_id": "33861261"}, {"ref": "digvijayyadav/otto-collaborative-recommender-system", "kernel_id": "33450603"}, {"ref": "vassylkorzh/otto-eda", "kernel_id": "33951296"}, {"ref": "tatamikenn/otto-gpu-inference-lb-0-555", "kernel_id": "33408134"}, {"ref": "tatamikenn/otto-public-leader-board-2023-01-10", "kernel_id": "33996934"}, {"ref": "chaudharypriyanshu/pandarallel-speedup-chris-approach-4x-times", "kernel_id": "33897146"}, {"ref": "sashanktalakola/multi-objective-recommender-system", "kernel_id": "33571645"}, {"ref": "karakasatarik/0-578-ensemble-of-public-notebooks", "kernel_id": "33911505"}, {"ref": "philipmarszal/simple-embeddings-using-keras", "kernel_id": "33301376"}, {"ref": "baladevdebasisjena/otto-polars-light-jsonl-to-paraquest-conversion", "kernel_id": "33374784"}, {"ref": "biubiug/carts-and-orders-follow-clicks", "kernel_id": "33037631"}, {"ref": "alberteinsten/cudf-pandas-proof-of-concept-lgbm-ranker", "kernel_id": "33184748"}, {"ref": "s107304004/itemcf", "kernel_id": "33339410"}, {"ref": "duuuscha/train-submit-word2vec-optimized-hparams", "kernel_id": "33694644"}, {"ref": "hokkey/candidate-rerank-model-add-eda-lb075", "kernel_id": "33457177"}, {"ref": "vitkishloh228/notebookec27a76de7", "kernel_id": "33644829"}, {"ref": "medmongibenyaiche/otto-word2vec-tutorial", "kernel_id": "33036282"}, {"ref": "cafelatte1/otto-training-matrix-factorization-model", "kernel_id": "33800811"}, {"ref": "cafelatte1/otto-co-visitation-items", "kernel_id": "33755201"}, {"ref": "cafelatte1/otto-re-rank-history-items", "kernel_id": "33752286"}, {"ref": "cafelatte1/otto-inference-matrix-factorization-model", "kernel_id": "33863214"}, {"ref": "noir3747/otto-notebook", "kernel_id": "33542409"}, {"ref": "noir3747/first-attempt-with-xgboost-variant", "kernel_id": "33602309"}, {"ref": "takuma0306/otto-create-popular-items-list", "kernel_id": "33606969"}, {"ref": "takuma0306/otto-create-action-df", "kernel_id": "33606793"}, {"ref": "takuma0306/otto-buy2buy", "kernel_id": "33628259"}, {"ref": "takuma0306/otto-pair-items-ranking", "kernel_id": "33635336"}, {"ref": "corneliuskristianto/ensemble-predictions", "kernel_id": "33940976"}, {"ref": "yangchengchun/otto-pipeline2-lb-0-576-08ba9f", "kernel_id": "33661697"}, {"ref": "ivanallure/test-dataset-is-all-we-need", "kernel_id": "33023468"}, {"ref": "bechirkarmeni/otto-multi-objective-recommender-system", "kernel_id": "33729274"}, {"ref": "kyrobc/otto-popular-items-benchmark", "kernel_id": "33360228"}, {"ref": "leehann/otto-eda-fast-cpu-train-pipeline", "kernel_id": "33190537"}, {"ref": "linzhengyuan/candidate-rerank-model-lb-0-575", "kernel_id": "33567742"}, {"ref": "duyanhtran/candidate-rerank-model-lb-0-577-tuned", "kernel_id": "33984685"}, {"ref": "loousmane/syst-me-de-recommandation-multi-objectifs", "kernel_id": "33547619"}, {"ref": "huyduong7101/otto-xgboost-ranker-train", "kernel_id": "33773833"}, {"ref": "huyduong7101/otto-covisitation-cpu-validation", "kernel_id": "33193299"}, {"ref": "huyduong7101/otto-build-covisitation-validation", "kernel_id": "33192605"}, {"ref": "huyduong7101/otto-covisitation-cpu-test", "kernel_id": "33146733"}, {"ref": "shotanakanokaggle/nakano-model4", "kernel_id": "33716254"}, {"ref": "shunhiramatsu/otto-en", "kernel_id": "33353751"}, {"ref": "siaoxie/otto-train-and-test", "kernel_id": "33398510"}, {"ref": "shengzn/notebook-szn-otto", "kernel_id": "33346239"}, {"ref": "shengzn/szn-otto2", "kernel_id": "33424411"}, {"ref": "taxuanduy/matmul-co-visitation-matrix", "kernel_id": "33669139"}, {"ref": "francescoliveras/otto-mors", "kernel_id": "33121444"}, {"ref": "mr0106/omors", "kernel_id": "33010590"}, {"ref": "simonveitner/eda-find-promoted-products", "kernel_id": "33351975"}, {"ref": "clairemadjarian/notebook47ee34e258", "kernel_id": "33318624"}, {"ref": "enizzzz/otto-transformers", "kernel_id": "33003299"}, {"ref": "kuangshiai/item2vec", "kernel_id": "33834558"}, {"ref": "kuangshiai/matrix-factorization", "kernel_id": "33834656"}, {"ref": "kuangshiai/voting-ensemble-with-weights", "kernel_id": "33736500"}, {"ref": "kuangshiai/itemcf-with-original-data", "kernel_id": "33732816"}, {"ref": "chaoheng/notebook-szn-otto", "kernel_id": "33558260"}, {"ref": "leloune/transformer", "kernel_id": "33255838"}, {"ref": "leloune/dummy-combining-approach-1-and-3", "kernel_id": "33264563"}, {"ref": "janicenpv/0-578-multi-ensemble-of-public-notebooks", "kernel_id": "33953708"}, {"ref": "greenwolf/lightgbm-fast-recall-20", "kernel_id": "34376397"}, {"ref": "muddywaters23/recbole-gru4rec", "kernel_id": "34024234"}, {"ref": "rangira/otto-getting-started-eda-baseline", "kernel_id": "34335327"}, {"ref": "danielliao/implement-radek-simple-covisitation-matrix-polars", "kernel_id": "34141501"}, {"ref": "danielliao/implement-radek-last20aids-in-polars", "kernel_id": "34133254"}, {"ref": "danielliao/last-20-aids-check-scores", "kernel_id": "34135285"}, {"ref": "hoangnguyen719/otto-infer-all-v2-can40-v2-tail40-top40405", "kernel_id": "34626509"}, {"ref": "hoangnguyen719/otto-infer-all-v1-can40-v2-tail40-top404050", "kernel_id": "34625454"}, {"ref": "hoangnguyen719/otto-te-cand40-v2-tail40-top40-40-50", "kernel_id": "34587943"}, {"ref": "hoangnguyen719/otto-tr-matrixv2-tail40-top404050-w136", "kernel_id": "34528775"}, {"ref": "hoangnguyen719/otto-tr-cand40-v2-tail40-top40-40-50", "kernel_id": "34543399"}, {"ref": "hoangnguyen719/otto-trainingclk-can40-matrixv2-tail40-top404050", "kernel_id": "34543753"}, {"ref": "hoangnguyen719/otto-trainingord-can40-matrixv2-tail40-top404050", "kernel_id": "34555057"}, {"ref": "hoangnguyen719/otto-trainingcart-can40-matrixv2-tail40-top404050", "kernel_id": "34546065"}, {"ref": "hoangnguyen719/otto-tr-cand40-matrixv1-tail40-top40-40-50", "kernel_id": "34575565"}, {"ref": "hoangnguyen719/otto-te-matrixv2-tail40-top404050-w136", "kernel_id": "34574105"}, {"ref": "snnclsr/gbdt-ranking", "kernel_id": "34205762"}, {"ref": "ikogias/create-train-validation-test-datasets-into-parquet", "kernel_id": "34362212"}, {"ref": "xstargate/0-578-ensemble-of-public-notebooks", "kernel_id": "34161262"}, {"ref": "tyeestudio/live-visualization-of-word2vec-loss-5-33-5-34", "kernel_id": "34158744"}, {"ref": "serjhenrique/otto-item-interaction-cupy-sparse-matrix", "kernel_id": "34379122"}, {"ref": "cdeotte/rules-only-model-achieves-lb-590", "kernel_id": "34664236"}, {"ref": "vbmokin/0-578-ensemble-of-public-notebooks-upgrade", "kernel_id": "34170550"}, {"ref": "ekity1002/word2vec-tsne", "kernel_id": "34308979"}, {"ref": "sirius81/otto-bigram-feature", "kernel_id": "34507752"}, {"ref": "sirius81/bpr-feature", "kernel_id": "34437077"}, {"ref": "vinitkp/ott-submission", "kernel_id": "34173688"}, {"ref": "vinitkp/otto-multi-objective-recommender-system", "kernel_id": "34119601"}, {"ref": "seholee/100x-faster-feature-generation", "kernel_id": "34317479"}, {"ref": "fotoizzet/proof-of-concept-markov-decision-process", "kernel_id": "34418229"}, {"ref": "ankur561999/otto-multi-objective-r-system-getting-sarted", "kernel_id": "34129233"}, {"ref": "pranithchowdary/otto-competition", "kernel_id": "34045080"}, {"ref": "sunghyunjun/otto-etl-with-co-visitation", "kernel_id": "34357537"}, {"ref": "sunghyunjun/otto-transformers4rec-train", "kernel_id": "34357550"}, {"ref": "sunghyunjun/otto-etl-nvtabular-cpu", "kernel_id": "34359010"}, {"ref": "sunghyunjun/otto-transformers4rec-valid", "kernel_id": "34476947"}, {"ref": "sunghyunjun/otto-candidates-orders", "kernel_id": "34598324"}, {"ref": "sunghyunjun/otto-etl-nvtabular-cpu-candidates-orders", "kernel_id": "34599519"}, {"ref": "karakasatarik/0-589-single-model-100-candidates-inference-lgbm", "kernel_id": "34132944"}, {"ref": "pietromaldini1/70-th-position-lgbm-final-prediction", "kernel_id": "34414800"}, {"ref": "abdallahhassan22/data-preparation", "kernel_id": "34054801"}, {"ref": "cafelatte1/otto-inference-gnn-embedding", "kernel_id": "34061051"}, {"ref": "cafelatte1/otto-training-gnn-embedding", "kernel_id": "34145174"}, {"ref": "cafelatte1/otto-create-dataset-gnn-embedding", "kernel_id": "34136358"}, {"ref": "cafelatte1/otto-word2vec-embedding", "kernel_id": "34166156"}, {"ref": "cafelatte1/otto-user-based-filtering", "kernel_id": "34227239"}, {"ref": "cafelatte1/otto-recommendation-trend-items-by-time-windows", "kernel_id": "34297707"}, {"ref": "cafelatte1/otto-recsys-ranking-with-public-nbs-v4-valid", "kernel_id": "34478281"}, {"ref": "ayushksingh28/0-578-ensemble-of-public-notebooks", "kernel_id": "34245118"}, {"ref": "kishorkumarnanda/otto-notebook", "kernel_id": "34207862"}, {"ref": "joydeep69/0-578-ensemble-of-public-nbs-upvote-please", "kernel_id": "34335789"}, {"ref": "amandahuangamanda/otto-eda", "kernel_id": "34166643"}, {"ref": "explore12345/xgb-ranker-using-weights-from-covisitation-mat", "kernel_id": "34685897"}, {"ref": "ruidahuang/otto-tuning-pipeline2-lb-0-577", "kernel_id": "34242523"}, {"ref": "mizuny/otto-easy-to-use-co-visitation-matrix-function", "kernel_id": "34109949"}, {"ref": "mizuny/otto-lightgbm-brief-sample-code-with-cudf", "kernel_id": "34519030"}, {"ref": "huyduong7101/otto-feature-engineering-validation", "kernel_id": "34225263"}, {"ref": "huyduong7101/otto-compute-validation-score-top-50-100", "kernel_id": "34291756"}, {"ref": "huyduong7101/otto-feature-engineering-test", "kernel_id": "34292727"}, {"ref": "huyduong7101/otto-xgboost-ranker-test", "kernel_id": "34321919"}, {"ref": "federicominutoli/otto-dataset-as-item-type-joint-pairs", "kernel_id": "34019215"}, {"ref": "alvabtp/0-578-ensemble-of-public-notebooks-29e049", "kernel_id": "34403460"}, {"ref": "tashiget/pytorch", "kernel_id": "34357563"}, {"ref": "pavelmalykh/otto-fast-baseline-improved", "kernel_id": "34561373"}, {"ref": "letitia9999/0-578-ensemble-of-public-notebooks", "kernel_id": "34404134"}, {"ref": "patrickmax/weight-ensemble-of-public", "kernel_id": "34365205"}, {"ref": "caesarchau/covisitation-recommendation-updated-polars", "kernel_id": "34647915"}, {"ref": "caesarchau/easy-recommendation-pandas", "kernel_id": "34645647"}, {"ref": "muddywaters23/otto-surrogate-mf-features", "kernel_id": "35659576"}, {"ref": "muddywaters23/otto-understanding-covisitation-matrices", "kernel_id": "35045148"}, {"ref": "cdeotte/3rd-place-team-g-b-d-t-0-604", "kernel_id": "35049837"}, {"ref": "vinitkp/otto-recommender-systems", "kernel_id": "35843003"}, {"ref": "theoviel/cudf-example", "kernel_id": "35170033"}, {"ref": "seoyunsun/otto-notebook", "kernel_id": "35702988"}, {"ref": "shyamalingamallu/3121otto-model", "kernel_id": "35156973"}, {"ref": "vishalkanojiya/notebook0b4e847902", "kernel_id": "35486586"}, {"ref": "eoinflan/notebook2ca34b1319", "kernel_id": "35032789"}, {"ref": "tashiget/pb194-otto", "kernel_id": "36233391"}, {"ref": "otakukimo/recbole-gru4rec-sample-code", "kernel_id": "38284073"}, {"ref": "micao15/gbdt-ranking", "kernel_id": "39538662"}, {"ref": "micao15/matrix-factorization-with-gpu", "kernel_id": "39478433"}, {"ref": "micao15/fork-of-compute-validation-score-cv-565", "kernel_id": "39873522"}, {"ref": "dmitriikrivoshei/notebook1713bb64a0", "kernel_id": "39652665"}, {"ref": "micao15/otto-models", "kernel_id": "40679258"}, {"ref": "codeysuh/comp9417-eda", "kernel_id": "41727055"}, {"ref": "codeysuh/comp9417-results", "kernel_id": "41716816"}, {"ref": "codeysuh/comp9417-preprocessing-and-test-data", "kernel_id": "41685902"}, {"ref": "shaaminights/comp9417-smick", "kernel_id": "41996273"}, {"ref": "jy123456789/knnnn", "kernel_id": "41562280"}, {"ref": "bhatnagardaksh/introduction-to-regular-expressions", "kernel_id": "42224723"}, {"ref": "jiyooon/notebook4c830938c0", "kernel_id": "42982458"}, {"ref": "yunuslutz/click-evaluation-of-deotte", "kernel_id": "44352080"}, {"ref": "dmitriikrivoshei/lgbm-ranker", "kernel_id": "44981117"}, {"ref": "hemissiachrefghassen/notebook146a25dece", "kernel_id": "45822229"}, {"ref": "shimacos/otto-recommend-bq-example-0f2b8e", "kernel_id": "46840479"}, {"ref": "vinitkp/recommender-system", "kernel_id": "46540055"}, {"ref": "medmongibenyaiche/fork-of-otto-word2vec-tutorial", "kernel_id": "46527196"}, {"ref": "midnightranger/explore-data-ipynb", "kernel_id": "46028801"}, {"ref": "nourbibari/notebook146a25dece", "kernel_id": "46205158"}, {"ref": "nxthanh1209/train-nn", "kernel_id": "46478304"}, {"ref": "himvarshney14/otto-tuning-pipeline2-lb-0-577", "kernel_id": "47694483"}, {"ref": "himvarshney14/cudf-pandas-proof-of-concept-lgbm-ranker", "kernel_id": "47608254"}, {"ref": "midnightranger/prepare-data", "kernel_id": "47658733"}, {"ref": "phcngth/recommender-system", "kernel_id": "47874938"}, {"ref": "charlieocharles/notebook91b98932a4", "kernel_id": "47853058"}, {"ref": "charlieocharles/869-multi-covisit-with-rank-adj", "kernel_id": "47892571"}, {"ref": "hemissiachrefghassen/devtm", "kernel_id": "48224936"}, {"ref": "qianyutingting/recommender-system-for-otto", "kernel_id": "48699139"}, {"ref": "qianyutingting/otto-multi-objective-recommender-system", "kernel_id": "48676345"}, {"ref": "onselguebli/notebook146a25dece", "kernel_id": "48224792"}, {"ref": "bruceqdu/lession-02-recommendation-powered-by-itemcf", "kernel_id": "52754565"}, {"ref": "bruceqdu/lession-01-recommend-using-popular-items", "kernel_id": "52286596"}, {"ref": "ddikua/lession-02-recommendation-powered-by-itemcf", "kernel_id": "52991337"}, {"ref": "bruceqdu/lession-03-advanced-itemcf", "kernel_id": "54916467"}, {"ref": "kk99351/notebook64738818c9", "kernel_id": "54028964"}, {"ref": "falujaan/code-complet", "kernel_id": "55280781"}, {"ref": "qwertynnzh/lession-01-recommend-using-popular-items", "kernel_id": "56222089"}, {"ref": "ndyeadadram/projet-ml", "kernel_id": "57462737"}, {"ref": "qwertynnzh/lession-03-advanced-itemcf", "kernel_id": "58188148"}, {"ref": "coloriarui/lession-03-advanced-itemcf", "kernel_id": "58499854"}, {"ref": "hanstong/lession-03-advanced-itemcf", "kernel_id": "58498212"}, {"ref": "wenzhetian/recommendation-powered-by-itemc", "kernel_id": "59321559"}, {"ref": "wenzhetian/lession-02-recommendation-powered-by-itemcf", "kernel_id": "59259445"}, {"ref": "wenzhetian/lession-01-recommend-using-popular-items-20eb21", "kernel_id": "59183213"}, {"ref": "qwertynnzh/lession-02-recommendation-powered-by-itemcf-598989", "kernel_id": "59316794"}, {"ref": "kmmmvs/read-json", "kernel_id": "65394083"}, {"ref": "kmmmvs/otto-json2parquet", "kernel_id": "65536861"}, {"ref": "kmmmvs/gpu-otto-json-to-parquet", "kernel_id": "65829638"}, {"ref": "gabrielvinicius/eedi-exploration-misconceptions-in-mathematics", "kernel_id": "65867487"}, {"ref": "kmmmvs/otto-etl-polars-gpu", "kernel_id": "66661064"}, {"ref": "phancongduy/visualize-data-otto", "kernel_id": "66542577"}, {"ref": "nguyennhattruong112e/otto-datamining", "kernel_id": "66542824"}, {"ref": "nguyennhattruong112e/transformers4rec-synthetic-data-example", "kernel_id": "67323050"}, {"ref": "hakhaka/candidate-rerank-model-lb-0-575", "kernel_id": "68895300"}, {"ref": "lilyguess/recommendation-knn-word2vec", "kernel_id": "71264553"}, {"ref": "hotavn/ressys", "kernel_id": "73578583"}, {"ref": "quocdungnguyen/hust-recsys-18", "kernel_id": "73754057"}, {"ref": "quocdungnguyen/hust-recsys-18-y", "kernel_id": "73847703"}, {"ref": "wenzhetian/otto1", "kernel_id": "73203010"}, {"ref": "thornyachin/otto-multi-or-thorn-yachin", "kernel_id": "73133905"}, {"ref": "eraikako/end-to-end-recommendation-system-guide", "kernel_id": "75613143"}, {"ref": "vekosek/otto-with-transformers", "kernel_id": "80604716"}, {"ref": "hwloser/notebook3455668c40", "kernel_id": "81902623"}, {"ref": "yaeeoa/notebook86a6958772", "kernel_id": "81291572"}, {"ref": "islamkyrre/otto-getting-started-eda-baseline", "kernel_id": "84716515"}, {"ref": "sofismlv/notebook3977848412", "kernel_id": "84762619"}, {"ref": "yurykulev/notebooked24ddaccd", "kernel_id": "85386145"}, {"ref": "alinash57/notebook51eac82572", "kernel_id": "85434756"}, {"ref": "aliabdin1/session-based-product-recommendation-gru4rec", "kernel_id": "86542738"}, {"ref": "jaymineshkumarpatel/graph-neural-network-graphsage-sample-agregate", "kernel_id": "92833343"}, {"ref": "trietle0306/otto-recsys", "kernel_id": "93155488"}, {"ref": "mallory3125/otto-recall-covisit", "kernel_id": "94878388"}, {"ref": "lrccc230107/candidate-rerank-model-lb-0-575", "kernel_id": "96699368"}, {"ref": "mallory3125/otto-fe", "kernel_id": "97048974"}, {"ref": "gabrielvinicius/recsys-co-visitation-matrix", "kernel_id": "98323215"}, {"ref": "byingxin/st5188", "kernel_id": "98154801"}, {"ref": "sannguynhuyn/sasrec", "kernel_id": "99882705"}, {"ref": "phmbinh/sasrec", "kernel_id": "100887878"}, {"ref": "ta362004/bert4rec", "kernel_id": "101198796"}, {"ref": "huyennguyen2004/sasrec-feature", "kernel_id": "102742500"}, {"ref": "namkhnhchu/otto-bert4rec", "kernel_id": "103289883"}, {"ref": "namkhnhchu/otto-sasrec-cm", "kernel_id": "103387531"}, {"ref": "dvnamm/otto-gru4rec", "kernel_id": "103015335"}, {"ref": "dvnamm/otto-gru4rec-covisition-matrix", "kernel_id": "103328704"}, {"ref": "yellowberry/candidate-rerank-model-lb-0-575", "kernel_id": "104545115"}, {"ref": "namkhnhchu/otto-gnn4rec-covisition-matrix", "kernel_id": "106029462"}, {"ref": "namkhnhchu/otto-bert4rec-covisition-matrix-opti", "kernel_id": "106648179"}, {"ref": "dvnamm/otto-sasrec-cm", "kernel_id": "106030163"}, {"ref": "dvnamm/otto-bert4rec-covisition-matrix", "kernel_id": "106029954"}, {"ref": "huyennguyen2004/create-matrix", "kernel_id": "106681533"}, {"ref": "chicuong1503/otto-easy-to-use-co-visitation-matrix-function", "kernel_id": "106222830"}, {"ref": "huyennguyen2004/train-sasrec", "kernel_id": "107525211"}, {"ref": "vladshubin/otto-recommender-system", "kernel_id": "110913095"}, {"ref": "killreall/notebookc25c8d57a8", "kernel_id": "110107723"}, {"ref": "ruslanyafarov/otto-getting-started-eda-baseline", "kernel_id": "111673530"}, {"ref": "narumaru/submission", "kernel_id": "111130191"}, {"ref": "soundwave77/otto-fast-cpu-end-to-end-pipeline", "kernel_id": "111898383"}, {"ref": "ddd5dd5/hw2-otto", "kernel_id": "111267632"}, {"ref": "beg18rus/otto-train-and-test", "kernel_id": "111253500"}, {"ref": "pavion/notebook5dc224d440", "kernel_id": "111259805"}, {"ref": "lizikkk/otto-rec-baseline-word2vec", "kernel_id": "111012999"}, {"ref": "lizikkk/notebookae08f0f1a7", "kernel_id": "111013119"}, {"ref": "djgvan/co-visitation-matrix-simplified-imprvd-logic", "kernel_id": "111675352"}, {"ref": "andrey18083/polars-proof-of-concept-lgbm-ranker", "kernel_id": "111842505"}, {"ref": "dvisupov/hw2-otto", "kernel_id": "111263266"}, {"ref": "rasputinka/notebookotto", "kernel_id": "111252300"}, {"ref": "azamatgazizov/gazizov-a-k", "kernel_id": "111307366"}, {"ref": "qwertyass/negrobov-victor", "kernel_id": "112313099"}, {"ref": "li98jiaxiang/submission", "kernel_id": "112240194"}, {"ref": "juliachirkovaaa/notebookf2c7635f9e", "kernel_id": "112457476"}, {"ref": "dmitrykrivenko/otto-dataset", "kernel_id": "112417628"}, {"ref": "pristukes/otto-getting-started-eda-baseline", "kernel_id": "112721619"}, {"ref": "nottgy/otto-recommender-system-strong-co-visitation-bas", "kernel_id": "112413630"}, {"ref": "hngphongkiu/otto-resys", "kernel_id": "112770344"}, {"ref": "nikitka1606/notebook9e918e06b6", "kernel_id": "112278889"}, {"ref": "ulyadurov/12345", "kernel_id": "112255086"}, {"ref": "ulyadurov/co-visitation-matrix-cv-565-2836e0", "kernel_id": "112253547"}, {"ref": "egorzadvornov/otto-baseline-covisit", "kernel_id": "112614655"}, {"ref": "egorzadvornov/otto-baseline-covisitation", "kernel_id": "112614596"}, {"ref": "meal1111/notebook4aff3b51f2", "kernel_id": "112030342"}, {"ref": "podosenovaa/notebookf312aa0427", "kernel_id": "112605647"}, {"ref": "khoryzhevilya/hw2-otto", "kernel_id": "113708971"}, {"ref": "xddjpnai/notebookb0e118e75b", "kernel_id": "114705260"}, {"ref": "ilyascrab/otto-getting-started-eda-baseline", "kernel_id": "114599897"}, {"ref": "ultimatereo/ultimatereo-otto", "kernel_id": "114687354"}, {"ref": "nhatnguyenhcmusk24/my-otto-solution", "kernel_id": "114396749"}, {"ref": "no1mohamed/otto-mors-covisitation-baseline", "kernel_id": "116843428"}, {"ref": "skolvdnl/word2vec-hw2", "kernel_id": "117300436"}, {"ref": "hngphongkiu/candidate-rerank", "kernel_id": "120724403"}, {"ref": "hngphongkiu/covisited-lgbmranker", "kernel_id": "121021684"}, {"ref": "kolinn/otto-48b269", "kernel_id": "122158128"}, {"ref": "igorvorobev7892/recproj2", "kernel_id": "125910922"}]}
{"competition_id": "38770", "kernels": []}
{"competition_id": "38777", "kernels": [{"ref": "shubhammondal0223/its-a-fraud", "kernel_id": "31232589"}]}
{"competition_id": "38783", "kernels": []}
{"competition_id": "38808", "kernels": []}
{"competition_id": "38809", "kernels": []}
{"competition_id": "38814", "kernels": []}
{"competition_id": "38816", "kernels": []}
{"competition_id": "38820", "kernels": []}
{"competition_id": "38824", "kernels": []}
{"competition_id": "38829", "kernels": []}
{"competition_id": "38833", "kernels": [{"ref": "abduljaweed/heart-disease-prediction", "kernel_id": "36526952"}]}
{"competition_id": "38839", "kernels": [{"ref": "csmohamedayman/ml-clust-iris-data-clustering", "kernel_id": "59300088"}, {"ref": "csmohamedayman/ml-clust-instacart-market-basket-analysis", "kernel_id": "59350237"}, {"ref": "brahimettanany/data-clustering", "kernel_id": "63517713"}, {"ref": "csmohamedayman/eda-clust-instacart-market-basket-analysis", "kernel_id": "76436367"}, {"ref": "csmohamedayman/eda-clust-iris-data-clustering", "kernel_id": "76365990"}]}
{"competition_id": "38841", "kernels": [{"ref": "invalizare/neuroml-2022-transformers", "kernel_id": "103960963"}]}
{"competition_id": "38846", "kernels": [{"ref": "digitallinguistics/baseline-one", "kernel_id": "30361702"}]}
{"competition_id": "38860", "kernels": [{"ref": "deepeshcv/starter-notebook", "kernel_id": "31670771"}, {"ref": "keithmanville/official-mlmac-starter-kit", "kernel_id": "32370375"}]}
{"competition_id": "38866", "kernels": []}
{"competition_id": "38891", "kernels": []}
{"competition_id": "38892", "kernels": [{"ref": "defcodeking/eda-feature-engineering-preprocessing", "kernel_id": "31224071"}, {"ref": "defcodeking/home-loan-default-risk-experiments", "kernel_id": "32233579"}, {"ref": "defcodeking/home-loan-default-risk-experiment-analysis", "kernel_id": "32440719"}, {"ref": "defcodeking/home-loan-default-risk-tuning-xgboost", "kernel_id": "32600743"}, {"ref": "defcodeking/home-loan-default-risk-blending", "kernel_id": "32861079"}, {"ref": "priyeshdeore/notebook838f52110b", "kernel_id": "32823117"}, {"ref": "chenyanchi/7111018005-7111018028", "kernel_id": "33694140"}, {"ref": "sougandhkrishna/eda-preprocessing-model-implementation", "kernel_id": "51516463"}]}
{"competition_id": "38893", "kernels": []}
{"competition_id": "38900", "kernels": []}
{"competition_id": "38911", "kernels": [{"ref": "clyde1114/615557-ds-special-ch1", "kernel_id": "30410754"}, {"ref": "juyeonkim/19013225-ds-special-ch1", "kernel_id": "30540658"}, {"ref": "rynojohnkim/17011768-ds-special-ch1", "kernel_id": "30414016"}, {"ref": "rynojohnkim/17011768-ds-speciall-ch1", "kernel_id": "30540686"}, {"ref": "hongseonghyun/19013229-ds-special-ch1", "kernel_id": "30540647"}, {"ref": "yuzatea/19011699-ds-special-ch1", "kernel_id": "30414005"}, {"ref": "yuzatea/19011699-ds-special-ch1-p", "kernel_id": "30540718"}, {"ref": "hwangjaesung/17013246-ds-special-ch1", "kernel_id": "30577425"}, {"ref": "hyeon98/17013244-ds-special-ch1-t", "kernel_id": "30540662"}, {"ref": "hyeon98/17013244-ds-special-ch1", "kernel_id": "30414013"}, {"ref": "changjinson/18010148-ds-special-ch1", "kernel_id": "30414026"}, {"ref": "changjinson/18010148-ds-special-ch1-s", "kernel_id": "30540731"}, {"ref": "changjinson/18010148-ds-special-ch1-a", "kernel_id": "30559930"}, {"ref": "changjinson/18010148-ds-special-ch1-b", "kernel_id": "30602354"}, {"ref": "whiteparasol/16011132-ds-special-ch1", "kernel_id": "30541506"}, {"ref": "choihyeongyu98/17011721-ds-special-ch1-9-20", "kernel_id": "30540779"}, {"ref": "choihyeongyu98/17011721-ds-special-ch1", "kernel_id": "30414023"}, {"ref": "mindang/19013228-ds-special-ch1", "kernel_id": "30414044"}, {"ref": "hwangahyun/19011697-ds-speciall-ch1", "kernel_id": "30540773"}, {"ref": "hwangahyun/19011697-ds-special-ch1", "kernel_id": "30414035"}]}
{"competition_id": "38915", "kernels": [{"ref": "laurabarreda/facial-emotion-recognition-with-fer-dataset", "kernel_id": "30771540"}]}
{"competition_id": "38929", "kernels": [{"ref": "mdfahimreshm/team-aambela-solution-cuet-ete-nlp-competition", "kernel_id": "31548023"}, {"ref": "ashik17cse/mrscientist-cuet-ete-competition", "kernel_id": "31588435"}, {"ref": "fahimshahriarkhan/team-inconsistent-distribution-submission", "kernel_id": "31566350"}, {"ref": "sawradipsaha/bangla-nlp-sarcasm-classification-duo-binary", "kernel_id": "31509665"}, {"ref": "nafiularaf/sd-duel-core", "kernel_id": "31369246"}, {"ref": "marufulislamrafin/gremlin", "kernel_id": "31630841"}, {"ref": "abdullahmoosa/mie-collinearity", "kernel_id": "31542581"}, {"ref": "sahasourav17/bangla-sarcasm-detection-with-fusion-model", "kernel_id": "31464159"}, {"ref": "sahasourav17/sarcasm-detection-with-bigru-word-embedding", "kernel_id": "31411864"}, {"ref": "mdzisun/ete-cuet", "kernel_id": "31361581"}, {"ref": "mdzisun/cle-an-ete", "kernel_id": "31404984"}, {"ref": "shalhamucha18/sarcasm-detection-with-mucha", "kernel_id": "31406247"}]}
{"competition_id": "38944", "kernels": [{"ref": "hrithikpurwar/team-23-vit", "kernel_id": "30471182"}]}
{"competition_id": "38960", "kernels": []}
{"competition_id": "38992", "kernels": [{"ref": "gazu468/eda-on-nfl-dataset-games", "kernel_id": "21021627"}, {"ref": "sanman8017/databowl", "kernel_id": "26925555"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "spencerriggins/yet-another-big-data-bowl-play-visualizer", "kernel_id": "31809512"}, {"ref": "spencerriggins/big-data-bowl-trueskill-exploration", "kernel_id": "31910589"}, {"ref": "maschill/pocket-stats", "kernel_id": "31415211"}, {"ref": "tainangao/plotly-eda-of-players", "kernel_id": "31792963"}, {"ref": "nickwan/calculating-distance-from-other-players-football", "kernel_id": "31642926"}, {"ref": "nickwan/creating-player-stats-using-tracking-data", "kernel_id": "31485383"}, {"ref": "nickwan/animated-gif-for-plays-python", "kernel_id": "31149745"}, {"ref": "nasere/understand-game-dataset-statistically-approach", "kernel_id": "31353680"}, {"ref": "nasere/eda-and-statistical-analysis-on-players-dataset", "kernel_id": "31393531"}, {"ref": "lichtlab/detailed-pass-play-observation-evaluation", "kernel_id": "31280970"}, {"ref": "gabrieldaiha/introducing-xpressure", "kernel_id": "31742297"}, {"ref": "tombliss/pass-rushing-edge-get-off-speed", "kernel_id": "31173124"}, {"ref": "mpwolke/i-m-back-nfl-big-data-bowl", "kernel_id": "31108454"}, {"ref": "mpwolke/animation-ptplot", "kernel_id": "31140606"}, {"ref": "alejopaullier/make-your-notebooks-look-better", "kernel_id": "31140130"}, {"ref": "pablollanderos33/generate-play-animations-with-ggplot", "kernel_id": "31520911"}, {"ref": "rajsengo/ggplot2-beginner-nfl-players-analysis", "kernel_id": "31422074"}, {"ref": "jacobsosine/kaggle-guide-to-commenting", "kernel_id": "31261069"}, {"ref": "jacobsosine/basic-eda-players-data", "kernel_id": "31104098"}, {"ref": "jacobsosine/reduce-memory-usage-weekly-dfs", "kernel_id": "31132398"}, {"ref": "kalilurrahman/nfl-data-bowl-2023-offensive-plays-eda", "kernel_id": "31113465"}, {"ref": "kalilurrahman/nfl-big-data-bowl-2023-simple-visualization", "kernel_id": "31113168"}, {"ref": "donovanmoore/lineman-evaluation-don-t-pop-the-qb-bubble", "kernel_id": "31603340"}, {"ref": "huntingdata11/animated-and-interactive-nfl-plays-in-plotly", "kernel_id": "31181666"}, {"ref": "patrickseminatore/pocket-stability", "kernel_id": "31678992"}, {"ref": "darkcrusader52/ol-era", "kernel_id": "31129475"}, {"ref": "lydiaamrane/nfl2023-eda-preprocessing", "kernel_id": "31120369"}, {"ref": "satyaprakashshukl/lightening-fast-load-with-feather", "kernel_id": "31518054"}, {"ref": "satyaprakashshukl/modin-to-load-data-faster", "kernel_id": "31518287"}, {"ref": "fadyesam/nfl-data-analysis", "kernel_id": "31178601"}, {"ref": "declansaw/finding-the-best-pass-protecting-centre", "kernel_id": "31676546"}, {"ref": "declansaw/which-formation-best-protects-the-qb", "kernel_id": "31717046"}, {"ref": "abdulazizergashev/animated-and-interactive-nfl-plays-in-plotly", "kernel_id": "31287105"}, {"ref": "trh2023/analysis-of-nfl-2023", "kernel_id": "31717866"}, {"ref": "trh2023/reply-to-nfl-2023", "kernel_id": "31717966"}, {"ref": "jeremielafortune/multi-dimensional-credibility-for-performance-rank", "kernel_id": "31911828"}, {"ref": "chrisgonzalez/nfl-big-data-bowl-2023-chris-gonzalez-submission", "kernel_id": "32064262"}, {"ref": "bparker84/nfl-o-line-rankings", "kernel_id": "32775452"}, {"ref": "izydorczak/nfl-big-data-bowl-2023-exploration", "kernel_id": "32272831"}, {"ref": "shams1/games", "kernel_id": "32521588"}, {"ref": "jewofgolf/dl-player-contribution-model", "kernel_id": "32649337"}, {"ref": "autonomous019/nfl-databowl-23-basic-pass-prediction", "kernel_id": "32018392"}, {"ref": "cnudimuldoon/movement-data-plots", "kernel_id": "32305056"}, {"ref": "richardpinter/getting-used-to-kaggle-notebooks", "kernel_id": "32244759"}, {"ref": "s903124/polars-speed-comparison", "kernel_id": "32963677"}, {"ref": "bradyjrothrock/eecs-731-data-preparation", "kernel_id": "32582149"}, {"ref": "pttljessy/eda-players-dataset", "kernel_id": "32999735"}, {"ref": "cosmith1752/nfl-linemen-analysis", "kernel_id": "32381851"}, {"ref": "thanhtungvu137/notebook6359ad663a", "kernel_id": "32772319"}, {"ref": "albertum/metric-track-hurry-dl-technique", "kernel_id": "32737349"}, {"ref": "ashokkumargarain/notebooklost", "kernel_id": "32668320"}, {"ref": "barbosajaf/nfl-big-data-bowl-2023-jafb", "kernel_id": "32885920"}, {"ref": "carlosgeovany/nfl-big-data-bowl-2023", "kernel_id": "32172717"}, {"ref": "mauromauro/olaf-an-offensive-linemen-assessment-framework", "kernel_id": "32834712"}, {"ref": "akritisood175/eda-player-s-tracking-weekly-analysis", "kernel_id": "32160820"}, {"ref": "dsshrashetty/nfl-2023-big-data-visualization", "kernel_id": "32884100"}, {"ref": "ganeshborkar31/i-m-back-nfl-big-data-bowl", "kernel_id": "32614319"}, {"ref": "punithanatarajan/eda-univariant-and-bivariant-analysis", "kernel_id": "32001150"}, {"ref": "millerryan1/data-review-acquisition-and-basic-prep-no-eda", "kernel_id": "32926104"}, {"ref": "morganchappe/predict-sack", "kernel_id": "32846826"}, {"ref": "julindavidlenriao/nfl-predictive-model-try1", "kernel_id": "32983077"}, {"ref": "shahidulugvcse/generate-play-animations-with-ggplot", "kernel_id": "32656658"}, {"ref": "aravindhksa/nfl-interesting-eda", "kernel_id": "32799034"}, {"ref": "cooljmlee/analysis-of-nfl-2023", "kernel_id": "32321651"}, {"ref": "mr0106/nfl-b-d-b-2023", "kernel_id": "32478171"}, {"ref": "dlogical/nfl-big-data-analytics", "kernel_id": "32020988"}, {"ref": "krishnarasamy/nfl-predict-age", "kernel_id": "32736555"}, {"ref": "amberlemckee/pass-blocker-rating", "kernel_id": "32374465"}, {"ref": "roquelouiskinsley/regression", "kernel_id": "32731007"}, {"ref": "duncanlopes/logistic-regression", "kernel_id": "32813919"}, {"ref": "circleofcare/tracking-the-nfl-player-big-data-bowl-2023", "kernel_id": "32676531"}, {"ref": "statsinthewild/strain-sacks-tackles-rushing-aggression-index", "kernel_id": "33501276"}, {"ref": "sryo188558/hazard-modeling-for-pass-defense", "kernel_id": "33939181"}, {"ref": "mmakhyanov/linebackers-spin-to-win", "kernel_id": "33839321"}, {"ref": "slayerpark/pop-deacon-pressure-impact-on-completion", "kernel_id": "33967263"}, {"ref": "mtodisco10/pocket-availability-percentage-pktavail", "kernel_id": "33327101"}, {"ref": "jessefis/2023-big-data-bowl-chatgpt-hand-lock-rating", "kernel_id": "33941739"}, {"ref": "erikvdven/introduction-pandera", "kernel_id": "33350659"}, {"ref": "ernestglukhov/data-anti-science-the-best-college-canteen", "kernel_id": "33910099"}, {"ref": "ernestglukhov/nfl-big-data-bowl-by-practicum", "kernel_id": "33849959"}, {"ref": "yuqin520/lineman-evaluation-man-on-man-twists-protection", "kernel_id": "33715954"}, {"ref": "brandonlester/pressures-vs-expectation", "kernel_id": "33785694"}, {"ref": "suzannazhan/2023-nfl-new-metrics-and-model", "kernel_id": "33429607"}, {"ref": "returnofsputnik/individual-team-linemen-metric-pocket-rate-change", "kernel_id": "33671353"}, {"ref": "dtbingh/offensive-lineman-pass-block-performance-scoring", "kernel_id": "33443648"}, {"ref": "vingkan/process-pocket-area-data", "kernel_id": "33919996"}, {"ref": "vingkan/measuring-pocket-area", "kernel_id": "33994936"}, {"ref": "lichtlab/evaluate-linemen-using-player-impact-distribution", "kernel_id": "33745178"}, {"ref": "danitreisman/pressure-contribution-score", "kernel_id": "33647927"}, {"ref": "yeahliu/nfl-2023-eda-visualization", "kernel_id": "33707587"}, {"ref": "ianasta23/coerce-a-measure-of-early-pass-rush-pressure", "kernel_id": "33940037"}, {"ref": "vinitkp/nfl-2023-eda", "kernel_id": "33870990"}, {"ref": "vinitkp/nfl-2023-eda-r", "kernel_id": "33948656"}, {"ref": "mattlowrieds/offensive-line-effectiveness-from-tracking-data", "kernel_id": "33988223"}, {"ref": "sasin324/ol-adaptability-metric", "kernel_id": "33779062"}, {"ref": "ricdur/expected-defensive-rusher-distance-to-qb", "kernel_id": "33743835"}, {"ref": "s903124/evaluate-pass-block-with-graphical-neural-network", "kernel_id": "33920607"}, {"ref": "connyfromtheblock/failing-to-assess-communication-within-the-o-l", "kernel_id": "33471014"}, {"ref": "connyfromtheblock/which-ols-are-best-at-adjusting-in-play", "kernel_id": "33898207"}, {"ref": "jasonjh97/time-available-to-throw-over-expectation", "kernel_id": "33827757"}, {"ref": "stpeteishii/nfl-bowl-2023-histplot", "kernel_id": "33477067"}, {"ref": "zbradlow/trench-warfare-saving-and-destroying-epa", "kernel_id": "33866199"}, {"ref": "jboss7/nfl-linemen-a-probability-plays-strategy", "kernel_id": "33883862"}, {"ref": "fabreeze/the-xp-philosophy-quantifying-linemen-performance", "kernel_id": "33942294"}, {"ref": "paulg6612/measuring-a-rusher-s-ability-to-disrupt-the-pocket", "kernel_id": "33557300"}, {"ref": "ibbydon/offensive-linemen-metric", "kernel_id": "33737021"}, {"ref": "prajittr/nfl-predicting-the-pass-result", "kernel_id": "33105404"}, {"ref": "prajittr/nfl-predicting-the-speed-of-players", "kernel_id": "33073009"}, {"ref": "drsalt128/nfl-pass-rush-pops", "kernel_id": "33799385"}, {"ref": "acheema20/watt-a-probabilistic-pass-rush-analysis", "kernel_id": "33941831"}, {"ref": "dmay01/pocket-widths", "kernel_id": "33891327"}, {"ref": "nickb1125/idpi-a-situational-metric-for-pass-rushers", "kernel_id": "33500960"}, {"ref": "connerevans/big-data-bowl-2023-linemen-metrics", "kernel_id": "33501219"}, {"ref": "connornickol/evaluating-offensive-tackles-with-bayesian-methods", "kernel_id": "33916331"}, {"ref": "danoff/does-continuity-breed-champions", "kernel_id": "33970322"}, {"ref": "gregoryklevans/defensive-line-pressure-and-pass-outcomes", "kernel_id": "33024429"}, {"ref": "salimalkharsa/nfl-2023-data-bowl", "kernel_id": "33996254"}, {"ref": "servetoksuz/second-try", "kernel_id": "33619902"}, {"ref": "benjenkins96/causal-impact-of-offensive-linemen-on-pass-plays", "kernel_id": "33388860"}, {"ref": "hsuanchengsun/nfl-big-data-bowl-2023", "kernel_id": "33560937"}, {"ref": "alex920096/defense-performance-scoring-826e7a", "kernel_id": "33845380"}, {"ref": "javiervelascogalicia/notebook6730ccb1ec", "kernel_id": "33991764"}, {"ref": "amantaxali/self-supervised-graph-embeddings", "kernel_id": "33985192"}, {"ref": "joonghochoi/modeling-qb-pressure-with-force-based-metrics", "kernel_id": "33624362"}, {"ref": "hassaaninayatali/between-the-lines-how-do-we-measure-pressure", "kernel_id": "33355017"}, {"ref": "averyehorvath/pass-rush-predictor-for-blocking-assignments", "kernel_id": "33989494"}, {"ref": "averyehorvath/pass-rush-predictor", "kernel_id": "33989273"}, {"ref": "maxwellstjohn/block-time-ratio-and-ol-player-cards", "kernel_id": "33963316"}, {"ref": "christopherjodice/offensive-lineman-pass-block-metric", "kernel_id": "33930944"}, {"ref": "vbhtib/nfl-big-data-bowl-2023-offensive-center-linemen", "kernel_id": "33612763"}, {"ref": "serafindominguez/distance-gained-lost", "kernel_id": "33886598"}, {"ref": "tejseth/bad-hack-a-sack", "kernel_id": "33875468"}, {"ref": "tejseth/hack-a-sack", "kernel_id": "33987967"}, {"ref": "johnwesappleton/nfl-big-data-bowl-2023-evaluating-linemen", "kernel_id": "33988038"}, {"ref": "chiragmehta1/scrt-football", "kernel_id": "33918923"}, {"ref": "alexandreschortgen/evaluating-lines-through-time-and-space", "kernel_id": "33991905"}, {"ref": "noahswan/big-data-bowl-2023-villanova-team", "kernel_id": "33967083"}, {"ref": "rachelmccarty/disguising-blitzes", "kernel_id": "33706116"}, {"ref": "zacrogersuk/nflvr", "kernel_id": "33563907"}, {"ref": "iandelorey/stoutnet", "kernel_id": "33477583"}, {"ref": "josephferraiola/xpassrush-identifying-pass-rushers-pre-snap", "kernel_id": "33823628"}, {"ref": "hiteshkumars/nfl-2023", "kernel_id": "33784643"}, {"ref": "rodrigocmfm/defensive-linemen-field-of-vision-occupancy", "kernel_id": "33992773"}, {"ref": "nickvolponi/reds-analysis", "kernel_id": "33244053"}, {"ref": "fernandotonucci/eyc-a-casual-metric-for-ols", "kernel_id": "33977839"}, {"ref": "charlesnorris/i-m-back-nfl-big-data-bowl", "kernel_id": "33932376"}, {"ref": "charliezimmerman/pass-rush-efficiency-pre-defensive-statistic", "kernel_id": "33621461"}, {"ref": "huilongyeo/feature", "kernel_id": "33816048"}, {"ref": "charlesgiess/lets-make-expected-pressures-in-time-a-live-metric", "kernel_id": "33770351"}, {"ref": "charlesgiess/expected-pressures-in-time", "kernel_id": "33652977"}, {"ref": "shreyakrishnamachari/classifying-the-pff-passresult", "kernel_id": "33073865"}, {"ref": "vincentkarpick/catsop", "kernel_id": "33534755"}, {"ref": "vincentkarpick/completions-added-through-suppression-of-pressure", "kernel_id": "33866642"}, {"ref": "fauzanmohammed/nfl-bigdatabowl-eda", "kernel_id": "33675762"}, {"ref": "sujaykapadnis/end-to-end-visualisation-and-statistical-analysis", "kernel_id": "33923747"}, {"ref": "nickmilinkovich/innovative-assessment-of-offensive-linemen-on-pass", "kernel_id": "33795648"}, {"ref": "jaysagrolikar/open-space-spatial-survival-probabilities", "kernel_id": "33988632"}, {"ref": "brooke1728/big-data-bowl-2023-brooke-and-luke", "kernel_id": "33497380"}, {"ref": "jackrogers29/urschel-film", "kernel_id": "33988108"}, {"ref": "knarasi1/momentum-of-offensive-defender-system", "kernel_id": "33994868"}, {"ref": "stevenpatton97/pressures-over-predicted-pop", "kernel_id": "33179492"}, {"ref": "gfairbro/passing-yards-furnished", "kernel_id": "33962805"}, {"ref": "usamabamieh/lineman-participation-rates-versus-expected-points", "kernel_id": "33994789"}, {"ref": "theprasenjeet/interactive-eda-prediction", "kernel_id": "33404659"}, {"ref": "nabilakram/weight-category-with-speed-for-te-and-wr", "kernel_id": "33875714"}, {"ref": "engmanling/5intelligence-assignment", "kernel_id": "33904397"}, {"ref": "kirthigamurthy/assignment-ai-classification-using-svm", "kernel_id": "33905275"}, {"ref": "michaelbock18/clustering-offensive-line-structures", "kernel_id": "33991660"}, {"ref": "oscarherrerafigueroa/ofensive-line-probability-of-failure", "kernel_id": "33707604"}, {"ref": "brycecturner/pocket-penetration-score-for-offensive-linemen", "kernel_id": "33956036"}, {"ref": "alexchoi11/pushing-the-line-analyzing-individual-linemen", "kernel_id": "33964790"}, {"ref": "queshav/nfl-big-data-bowl-2023", "kernel_id": "33328701"}, {"ref": "meghagada/hawks-assignment", "kernel_id": "33920407"}, {"ref": "tylerpardun/introducing-ppi-the-pocket-preservation-index", "kernel_id": "33966769"}, {"ref": "billy108502541/final-data-track", "kernel_id": "33781434"}, {"ref": "sandranuil/nfl-analysis-and-modelling-by-edin-sa", "kernel_id": "33979437"}, {"ref": "brunoscodari/big-man-betweenness-bmb", "kernel_id": "33861466"}, {"ref": "vaibhavkumarjkv/notebook87284eacbc", "kernel_id": "33700982"}, {"ref": "samueljin99/one-spin-to-win-them-all", "kernel_id": "33769110"}, {"ref": "maxmai/nfl-big-data-bowl-2023", "kernel_id": "33079312"}, {"ref": "dominicborsani/using-data-to-determine-blitz-strategy", "kernel_id": "33617769"}, {"ref": "joeleonard/scrt-quantifying-performance-vs-expectation", "kernel_id": "33879769"}, {"ref": "patrickhollowell/nfl-metric-creation-data-pipeline-analysis", "kernel_id": "33337083"}, {"ref": "benstern/under-pressure-queen-metric", "kernel_id": "33987988"}, {"ref": "jeffrix2/teamatx-pffscountingdata", "kernel_id": "33962610"}, {"ref": "jeffrix2/teamatx-playeravgspeed", "kernel_id": "33964817"}, {"ref": "zacharygalante/nfl-performance-metric-with-transfer-learning", "kernel_id": "33794067"}, {"ref": "kotarotsukada/evaluation-of-dl-players-by-partial-dependence", "kernel_id": "33374489"}, {"ref": "ip1347/isabelpantlebdbfinalsubmission", "kernel_id": "33958532"}, {"ref": "naveenrelliott/big-data-bowl-submission", "kernel_id": "33992992"}, {"ref": "senapatirajesh/decision-time-matters-2", "kernel_id": "33944387"}, {"ref": "honeytrivedi/nfl-voronoi-analysis", "kernel_id": "33684604"}, {"ref": "lyalindmitriy/exploring-relationships-in-sample-survey-data", "kernel_id": "33884482"}, {"ref": "tanishk3202/nfl-v1", "kernel_id": "33545715"}, {"ref": "dejinkumar/big-data-visualization", "kernel_id": "33527901"}, {"ref": "dejinkumar/predicting-player-s-age-using-cnn-model-with-conv1", "kernel_id": "33465298"}, {"ref": "dejinkumar/eda-players-dataset", "kernel_id": "33550435"}, {"ref": "mr0106/a-nfl-p-p", "kernel_id": "33133041"}, {"ref": "gregwinkelman/notebookperf-gb", "kernel_id": "33940982"}, {"ref": "arunkumardsci/merging-and-optimizing-the-nfl-data", "kernel_id": "33426334"}, {"ref": "arunkumardsci/univariate-analysis-of-nfl-big-bowl-2023-data", "kernel_id": "33462203"}, {"ref": "iwanowtf/decision-time-matters", "kernel_id": "33888444"}, {"ref": "jacksonbalch/ylae-a-better-way-to-measure-lineman-performance", "kernel_id": "33926865"}, {"ref": "desodhiambo/nfl-meat-potatoes-analysis", "kernel_id": "33276758"}, {"ref": "rahifmansoor/pass-rush-efficiency-pressure-prep", "kernel_id": "33675864"}, {"ref": "tramsay5/til-i-forget-about-you-espn-win-rate", "kernel_id": "33993237"}, {"ref": "lwwiley17/stunt-hunting-and-stunt-busting", "kernel_id": "33941858"}, {"ref": "gwentempleton/spin-move-exploration-gwen-templeton-bdb-2023", "kernel_id": "33991966"}, {"ref": "michaelegle/good-rush-bad-blocking", "kernel_id": "33893037"}, {"ref": "isabelalfonso/expected-yards-created", "kernel_id": "33942959"}, {"ref": "aaronpogrin/notebooka4c58d6d11", "kernel_id": "33886441"}, {"ref": "zaidbenamar/predicting-player-s-age-using-cnn-model-with-conv1", "kernel_id": "33442383"}, {"ref": "rashani/offensive-defensive-linemen-trends", "kernel_id": "33800529"}, {"ref": "devinkirk/measuring-changes-in-linemen-performance-over-time", "kernel_id": "33530189"}, {"ref": "agelopoulosdimitrios/diaplus-nfl-tries", "kernel_id": "33788954"}, {"ref": "aigerimtokhmetova/how-fast-you-get-tired", "kernel_id": "33868631"}, {"ref": "muhdaniqnasri/assignment-ai-weight-prediction", "kernel_id": "33962195"}, {"ref": "sethlanza/poqit-big-data-bowl-2023-submission", "kernel_id": "33857932"}, {"ref": "norasyiqin/assignment-ai-group-7-2", "kernel_id": "33980937"}, {"ref": "norasyiqin/assignment-ai-group-7-3", "kernel_id": "33985705"}, {"ref": "norasyiqin/assignment-ai-group-7", "kernel_id": "33752861"}, {"ref": "ayushshubhankar/nfl-prediction-lasso-decision-tree-and-eda", "kernel_id": "33571996"}, {"ref": "shinwilliams/osu-mlops-big-data-bowl-2023", "kernel_id": "33941294"}, {"ref": "jonskaza/recurrent-pressure-probabilities", "kernel_id": "33994237"}, {"ref": "davidraffetseder/big-data-bowl-submission-lettner-raffetseder", "kernel_id": "33928122"}, {"ref": "athirah2012/quaterback-nfl-2023", "kernel_id": "33953819"}, {"ref": "amirsanjani/nfl-big-data-2023-analytics", "kernel_id": "33387242"}, {"ref": "ddhannah/nfl-big-data", "kernel_id": "33052939"}, {"ref": "lavvinrao/notebookd4018b5a0b", "kernel_id": "33693739"}, {"ref": "lavvinrao/group-10-nfl-big-data-bowl-2023", "kernel_id": "33846500"}, {"ref": "kaviraaj/nfl-assignment-ai", "kernel_id": "33808808"}, {"ref": "donottalk/what-influences-the-choice-of-scheme", "kernel_id": "33896839"}, {"ref": "gmittiraan/mjna-asignment", "kernel_id": "33904999"}, {"ref": "nataliapridachina/the-most-successful-strategy-of-central-linemen", "kernel_id": "33896037"}, {"ref": "thaihuijia/5intelligence-assignment", "kernel_id": "33735476"}, {"ref": "ashleighprugh2/athleticism-and-endurance-for-pass-rushers", "kernel_id": "33887991"}, {"ref": "nurhidayahsyahira/assignment-artificial-intelligence-ai", "kernel_id": "33691759"}, {"ref": "aimanzhafran/group-yummy-assignment-ai", "kernel_id": "33905870"}, {"ref": "faridzuanali/classification-choice-of-pattern", "kernel_id": "33925966"}, {"ref": "bysanisowmya/big-data-bowl", "kernel_id": "33798885"}, {"ref": "afifhakim/nfl-2023-group-5", "kernel_id": "33951168"}, {"ref": "azizs3/predict-which-offense-to-create-down-plays", "kernel_id": "33807039"}, {"ref": "azizs3/probability-to-be-defeated", "kernel_id": "33811818"}, {"ref": "azizs3/notebook8981c48f33", "kernel_id": "33772202"}, {"ref": "azizs3/number-of-defender-in-box-in-each-play", "kernel_id": "33769925"}, {"ref": "alinasid/the-impact-of-colleges-on-american-football", "kernel_id": "33940740"}, {"ref": "syazwaniwnr/players-data", "kernel_id": "33890173"}, {"ref": "haikaltajudin/utem-parade", "kernel_id": "33717812"}, {"ref": "arifalzari/week1-pass-analysis", "kernel_id": "33870434"}, {"ref": "azimhakimi/assignment-ai-group6", "kernel_id": "33816931"}, {"ref": "minawoo/assignment-ai", "kernel_id": "33719152"}, {"ref": "maxjones4/pass-rush-pressure-metric-prpm", "kernel_id": "33988352"}, {"ref": "adibikhwn/notebooke47506ba7c", "kernel_id": "33971887"}, {"ref": "adibikhwn/wakanda", "kernel_id": "33957118"}, {"ref": "adibikhwn/notebooka576fa2c50", "kernel_id": "33718580"}, {"ref": "arifuddinnorzain/notebook650be99806", "kernel_id": "33815535"}, {"ref": "arifuddinnorzain/assignment-ai", "kernel_id": "33845546"}, {"ref": "faiqdanish/assignment-ai", "kernel_id": "33878731"}, {"ref": "hariziswan/test-for-player-at-week-2", "kernel_id": "33695213"}, {"ref": "amiraamin/assignment-ai-using-logistic-regression", "kernel_id": "33967461"}, {"ref": "yaumeejusoh/gpu69809", "kernel_id": "33966460"}, {"ref": "akmalrazak/utem-1", "kernel_id": "33718557"}, {"ref": "anisaazman/bene-4333", "kernel_id": "33906861"}, {"ref": "liewjy5/ai-assignment-classification-of-player-role", "kernel_id": "33944719"}, {"ref": "miashraff/nfl-big-data-bowl-2023-group-7", "kernel_id": "33971028"}, {"ref": "thanesthamalingam/tracking-based-player-stats", "kernel_id": "33871083"}, {"ref": "natayakusheva/bmi-and-player-performance", "kernel_id": "33905771"}, {"ref": "zaimzakhwan/team-hub-ai-week-4-analysis", "kernel_id": "33970127"}, {"ref": "cosmochiou/nfl-big-data-bowl-2023", "kernel_id": "34634911"}, {"ref": "afiqfarhan/positionprediction-ai-assignment", "kernel_id": "34472774"}, {"ref": "mojopriest/nfl-offensive-lines-feat-travis-kelce-chatgpt", "kernel_id": "35366730"}, {"ref": "duncanlopes/pipeline-dl-2", "kernel_id": "35478054"}, {"ref": "jaytlinaskew/nfl-plays-in-plotly", "kernel_id": "35796461"}, {"ref": "nadagamal3/pff-passresult-classification", "kernel_id": "37303291"}, {"ref": "nadagamal3/nfl-predicting-the-speed-of-players", "kernel_id": "37303341"}, {"ref": "s903124/big-data-bowl-coverage", "kernel_id": "38583897"}, {"ref": "s903124/big-data-bowl-coverage-autoencoder", "kernel_id": "38589774"}, {"ref": "kalilurrahman/nfl-big-data-bowl-2024-simple-visualiza", "kernel_id": "44641232"}, {"ref": "codyjanderson/nfl-predictions", "kernel_id": "47608251"}, {"ref": "annettelianchiu/nfl-predictions-rc", "kernel_id": "72474988"}, {"ref": "pablolopezlanderos/workshops-for-ukraine-validating-spatial-data", "kernel_id": "79188846"}, {"ref": "dhdzmota/dominance-index", "kernel_id": "104229252"}]}
{"competition_id": "38998", "kernels": [{"ref": "sanjeevmajumdar/notebookefee499e25", "kernel_id": "31183617"}, {"ref": "rathoreupendrasingh/2021mt12206-upendrasinghrathore", "kernel_id": "31300113"}, {"ref": "kaustubhpethe/2021mt13323", "kernel_id": "31448604"}]}
{"competition_id": "39000", "kernels": [{"ref": "orionaraf/priv-62-facial-emotion-classification-challenege", "kernel_id": "123863863"}]}
{"competition_id": "39009", "kernels": [{"ref": "kurianbenoy/fastai-baseline-albumentations", "kernel_id": "30530103"}, {"ref": "vijayendrad/learning-to-deal-w-image-dataset", "kernel_id": "30654655"}, {"ref": "miwojc/its-corn-time", "kernel_id": "30539883"}, {"ref": "miwojc/its-corn-time-progressive-resizing", "kernel_id": "30876204"}, {"ref": "miwojc/its-corn-time-inference-notebook", "kernel_id": "30864011"}, {"ref": "miwojc/its-corn-time-weighted-dataloaders", "kernel_id": "30893223"}, {"ref": "miwojc/its-corn-time-public-test-set-probing", "kernel_id": "30681884"}, {"ref": "miwojc/its-corn-time-multi-target", "kernel_id": "30629123"}, {"ref": "miwojc/its-corn-time-ensemble", "kernel_id": "30605638"}, {"ref": "miwojc/its-corn-time-ensemble-11th-place-solution", "kernel_id": "30612806"}, {"ref": "miwojc/its-corn-time-vision-transformer", "kernel_id": "30571587"}, {"ref": "miwojc/its-corn-time-adversarial-validation", "kernel_id": "30758087"}, {"ref": "miwojc/its-corn-time-reproducible-runs", "kernel_id": "30711627"}, {"ref": "terpsmeta/quick-start-eda-to-model-sub", "kernel_id": "30532773"}, {"ref": "gpiosenka/ensemble-3-models-composite-f1-score-75", "kernel_id": "30673131"}, {"ref": "mpwolke/it-s-corn-cnn-mobilenet", "kernel_id": "30563876"}, {"ref": "mpwolke/it-s-corn-efficientnet", "kernel_id": "30591628"}, {"ref": "mpwolke/corn-f1-score-efficientnetb3", "kernel_id": "30594844"}, {"ref": "mpwolke/broken-corn-broken-code", "kernel_id": "30669818"}, {"ref": "benihime91/pg3-corn-nb-exp-v2-008", "kernel_id": "30880022"}, {"ref": "benihime91/pg3-corn-ensemble-submission-best-cv", "kernel_id": "30880394"}, {"ref": "benihime91/pg3-corn-nb-exp-014", "kernel_id": "30879040"}, {"ref": "benihime91/pg3-corn-nb-exp-v2-005", "kernel_id": "30878783"}, {"ref": "benihime91/pg3-corn-nb-exp-v2-006", "kernel_id": "30877431"}, {"ref": "benihime91/pg3-corn-nb-exp-v2-010", "kernel_id": "30877570"}, {"ref": "benihime91/pg3-corn-nb-exp-v2-002", "kernel_id": "30876556"}, {"ref": "benihime91/pg3-corn-nb-exp-v2-007", "kernel_id": "30875509"}, {"ref": "benihime91/fork-of-pg3-corn-ensemble-find-weights", "kernel_id": "30896880"}, {"ref": "apzlll/corn-fastai-baseline", "kernel_id": "30657791"}, {"ref": "codebond/corn-rob-please-attempt-more-kag-competitions-live", "kernel_id": "30527239"}, {"ref": "codebond/pog-corn-keras", "kernel_id": "30561219"}, {"ref": "andrewspeers/pogchamps3-experiment10-kaggle-inference", "kernel_id": "30900560"}, {"ref": "andrewspeers/pogchamps3-experiment6plus10-kaggle-inference", "kernel_id": "30902848"}, {"ref": "andrewspeers/pogchamps3-experiment6-kaggle-inference", "kernel_id": "30885712"}, {"ref": "bibhabasumohapatra/training-pogchamps-3-baseline-part-1", "kernel_id": "30509186"}, {"ref": "bibhabasumohapatra/inference-pogchamps-3-part-1", "kernel_id": "30540975"}, {"ref": "lucaspillapimentel/it-s-corn-train", "kernel_id": "30590766"}, {"ref": "lucaspillapimentel/its-corn-infer", "kernel_id": "30714927"}, {"ref": "sot2542/it-is-corn-by-so", "kernel_id": "30603013"}, {"ref": "juantellofemman/juanastian-it-s-corn-medallion-community-comp", "kernel_id": "30681017"}, {"ref": "nghihuynh/training-it-s-corn-cnn-fastai-baseline", "kernel_id": "30571435"}, {"ref": "nghihuynh/inference-it-s-corn-cnn-fastai-baseline", "kernel_id": "30647337"}, {"ref": "nghihuynh/quick-eda-it-s-corn-season", "kernel_id": "30534753"}, {"ref": "ashaykatrojwar/fork-of-swintransformer", "kernel_id": "30886251"}, {"ref": "satoshiss/eda-prepare-dataset-pogchamp-3", "kernel_id": "30581554"}, {"ref": "satoshiss/corn-classification-pog-champ-3", "kernel_id": "30592892"}, {"ref": "satoshiss/make-predictions-pog-champ-3", "kernel_id": "30594476"}, {"ref": "abhishek123maurya/image-classification-using-glcm", "kernel_id": "30743891"}, {"ref": "mattop/corn-seed-image-labels-and-dimensions", "kernel_id": "30511427"}, {"ref": "nickolasmabini/i-like-corn", "kernel_id": "30595870"}, {"ref": "fmussari/it-s-corn-6-models-ensemble-6-epochs", "kernel_id": "31008950"}, {"ref": "kurianbenoy/playing-with-clip-model", "kernel_id": "31596920"}, {"ref": "dhaouadirayen/pogchamp", "kernel_id": "32312637"}, {"ref": "ouahab7/notebook56be94d770", "kernel_id": "32353256"}, {"ref": "ouahab7/notebookd912291f3e", "kernel_id": "32789514"}, {"ref": "mariembenkamel/fork-of-notebook56be94d770-efac5a", "kernel_id": "33610293"}, {"ref": "ouahab7/fork-of-notebook56be94d770-efac5a", "kernel_id": "33226853"}, {"ref": "paulopinheiro/it-s-corn-pog-champs", "kernel_id": "35925950"}, {"ref": "limamnadia/tp4-creation-dataset-corn", "kernel_id": "98927613"}, {"ref": "joaosantossss/notebook7a5346a6d2", "kernel_id": "108196215"}]}
{"competition_id": "39012", "kernels": []}
{"competition_id": "39022", "kernels": [{"ref": "lucasmorin/base-submission", "kernel_id": "30497818"}]}
{"competition_id": "39024", "kernels": []}
{"competition_id": "39029", "kernels": []}
{"competition_id": "39035", "kernels": []}
{"competition_id": "39042", "kernels": []}
{"competition_id": "39050", "kernels": []}
{"competition_id": "39073", "kernels": []}
{"competition_id": "39095", "kernels": []}
{"competition_id": "39098", "kernels": []}
{"competition_id": "39140", "kernels": []}
{"competition_id": "39162", "kernels": []}
{"competition_id": "39169", "kernels": []}
{"competition_id": "39175", "kernels": [{"ref": "ranveersinghsajwan/telecomchurn-ranveer-anindita-group-assignment", "kernel_id": "31061768"}]}
{"competition_id": "39180", "kernels": [{"ref": "azratuni/acm-css-kaggle-challenge-22-easy", "kernel_id": "30851764"}, {"ref": "bt2o1o5124auleen/20105124-olin", "kernel_id": "30853913"}, {"ref": "tapishverma/20102018-tapish-verma-pec", "kernel_id": "30853677"}, {"ref": "karandhar/20103001-karan-dhar-pec", "kernel_id": "30853774"}, {"ref": "msayak/acm-css-ipl-eda-challenge", "kernel_id": "30813773"}, {"ref": "peyushjindal/21103092-peyush-jindal-pec", "kernel_id": "30853707"}, {"ref": "tanishkalra83/21103112-tanish-kalra-pec", "kernel_id": "30853680"}, {"ref": "jksingh13/21103055-jaskeerat-singh", "kernel_id": "30853687"}, {"ref": "anshraj01/21103031-ansh-raj-sharma-pec", "kernel_id": "30853934"}, {"ref": "akshatdutta/21105093-akshat-dutta-pec", "kernel_id": "30853775"}, {"ref": "rishabhbhargava24/21104070-rishabh", "kernel_id": "30853765"}, {"ref": "rajat1273/21103062-rajat-kumar-pec", "kernel_id": "30853595"}, {"ref": "daksh786/21103073-daksh-khandelwal-pec", "kernel_id": "30853610"}, {"ref": "lonewolf2208/ac-css-kaggle-challenge-eda-code", "kernel_id": "59415086"}]}
{"competition_id": "39184", "kernels": []}
{"competition_id": "39191", "kernels": []}
{"competition_id": "39192", "kernels": []}
{"competition_id": "39194", "kernels": []}
{"competition_id": "39200", "kernels": []}
{"competition_id": "39215", "kernels": [{"ref": "kuantinglai/111-1-ee-ai-hw1", "kernel_id": "30684397"}, {"ref": "t109360250/111-1-ee-ai-hw1", "kernel_id": "30738171"}, {"ref": "stevenhaha/111-1-ee-ai-hw1", "kernel_id": "30843339"}, {"ref": "ian106310209/notebookb883605ccd", "kernel_id": "31074427"}]}
{"competition_id": "39222", "kernels": [{"ref": "michaeljf/tps-nov-eda-sweetviz-00", "kernel_id": "31879385"}, {"ref": "mpwolke/suckerbot-scrabbling-again", "kernel_id": "31781817"}, {"ref": "drcapa/scrabble-player-rating-starter", "kernel_id": "31792949"}, {"ref": "hasanbasriakcay/scrabble-eda-fe-modeling", "kernel_id": "31851193"}, {"ref": "niramay/scrabble-rating-prediction-using-automl", "kernel_id": "31977065"}, {"ref": "dinowun/eda-simplified-scrabble-player-rating", "kernel_id": "31783875"}, {"ref": "aatiffraz/basic-fe-and-eda-of-new-players-scrabble", "kernel_id": "31886343"}, {"ref": "leesstephanie/kaggle-scrabble", "kernel_id": "31879355"}, {"ref": "thomasdubail/scrabble-elo-pred", "kernel_id": "31910108"}, {"ref": "mikepenkov/rating-scrabble-players-with-xgb-regression", "kernel_id": "31802652"}, {"ref": "satyaprakashshukl/scrabble-player-rating-eda", "kernel_id": "31799377"}, {"ref": "imvision12/xgboostregressor-and-simple-eda", "kernel_id": "31802086"}, {"ref": "ahmedgeka/scrabble-game-prediction", "kernel_id": "31869751"}, {"ref": "alexbostick/scrabble-eda", "kernel_id": "31904142"}, {"ref": "fanwuuk/scrabble-rating-prediction-fe-evaluation", "kernel_id": "31866262"}, {"ref": "ijcrook/full-walkthrough-eda-fe-model-tuning", "kernel_id": "32010133"}, {"ref": "jotarostar/xgboost-regressin-apprach", "kernel_id": "32238757"}, {"ref": "danielkorth/eda-training-scrabble-player-rating", "kernel_id": "32740842"}, {"ref": "venkatkumar001/scrabble-player-rating-baseline-xgb", "kernel_id": "32250012"}, {"ref": "vamshichowdary/scrabble-player-rating", "kernel_id": "32388843"}, {"ref": "ahmeturunveren/scrabbleplayerrating", "kernel_id": "32040581"}, {"ref": "mukulparmar26/scrabble-game-prediction", "kernel_id": "32191997"}, {"ref": "vishw28/biryani-fun-vish", "kernel_id": "32888723"}, {"ref": "rustamadigozalov/predictingplayerratingclass", "kernel_id": "32768299"}, {"ref": "rustamadigozalov/exploratoryanalysis", "kernel_id": "32766577"}, {"ref": "elwerno/linearregression", "kernel_id": "33203075"}, {"ref": "mtkc01245/scrabble-lightgbm-simple-tune-japanese", "kernel_id": "33196825"}, {"ref": "donatoriccio/let-s-make-a-sqlite-database", "kernel_id": "33113582"}, {"ref": "saraswatitiwari/scrabble-player-rating", "kernel_id": "33021851"}, {"ref": "akershishukla/scrabble-player-rating-fe-eda", "kernel_id": "33251015"}, {"ref": "adrielnaranjo/scrabble-ratings-with-xgb", "kernel_id": "33187401"}, {"ref": "gahyun12j/scrabble-player-rating-xgboost", "kernel_id": "33014084"}, {"ref": "aitorporcel/autml-fe", "kernel_id": "33245019"}, {"ref": "kavinsubramani/scrabble-player-rating-and-it-works", "kernel_id": "33283671"}, {"ref": "suzusho/ds-ai-eda-sample", "kernel_id": "33206555"}, {"ref": "zahrizhalali/scrabble-player-rating", "kernel_id": "33080415"}, {"ref": "walaashnigat/scrabble-player-rating", "kernel_id": "33188541"}, {"ref": "greegtitan/scribblebli-bubli", "kernel_id": "33087997"}, {"ref": "brunosoaresdossantos/lb-117-26-scrabble-player-rating", "kernel_id": "33336595"}, {"ref": "smonoboss/scrabble-2-0", "kernel_id": "33261952"}, {"ref": "exuan102345/ntust-scrabble-player-rating", "kernel_id": "33644674"}, {"ref": "yyonakamura/ds-ai-scrabbling-with-baseline-models", "kernel_id": "33218886"}, {"ref": "tanmaymore11/predicting-player-rating", "kernel_id": "33172448"}, {"ref": "elillaarcher/linear-regressor-with-pytorch", "kernel_id": "33247578"}, {"ref": "akariokamoto/scrabble-lightgbm-simple-tune-japanese", "kernel_id": "33279518"}, {"ref": "gauravtirodkar42/scrabble-player-rating", "kernel_id": "34604545"}, {"ref": "georger174/player-rating-prediction", "kernel_id": "35672908"}, {"ref": "kinjaljoshii/predicting-scrabble-rating-of-players-in-r", "kernel_id": "37255190"}, {"ref": "akulvaishnavi/notebook4984170898", "kernel_id": "50342942"}, {"ref": "icomert/player-rating-deep-learning", "kernel_id": "80495578"}, {"ref": "leyuzakoksoken/predicting-scrabble-player-ratings-from-gameplay", "kernel_id": "108484271"}]}
{"competition_id": "39223", "kernels": [{"ref": "sjkimhyunwoo/notebook16831b329c", "kernel_id": "30693818"}]}
{"competition_id": "39226", "kernels": []}
{"competition_id": "39229", "kernels": [{"ref": "kuantinglai/111-1-dl-app-hw1", "kernel_id": "30700271"}, {"ref": "leeguanlin/hw1-110318089", "kernel_id": "31409077"}]}
{"competition_id": "39230", "kernels": []}
{"competition_id": "39232", "kernels": [{"ref": "juliegattenio/boatnook", "kernel_id": "34281125"}]}
{"competition_id": "39269", "kernels": [{"ref": "kentak0928/quick-xgboost-model-with-hold-out-for-puj-analtica", "kernel_id": "31219335"}, {"ref": "kentak0928/base-line-lightgbm-model-ver-1-0-puj-anal-tica", "kernel_id": "31117741"}, {"ref": "kentak0928/eda-ver-1-0-maestr-a-anal-tica-puj", "kernel_id": "31116829"}]}
{"competition_id": "39272", "kernels": [{"ref": "nguynththanhho/crop-test-rsna-img", "kernel_id": "31648761"}, {"ref": "radek1/eda-training-a-fast-ai-model-submission", "kernel_id": "32815204"}, {"ref": "radek1/how-to-process-dicom-images-to-pngs", "kernel_id": "32889757"}, {"ref": "radek1/fast-ai-starter-pack-train-inference", "kernel_id": "32927344"}, {"ref": "ambarish/eda-rsna-breast", "kernel_id": "32867669"}, {"ref": "abosol/creating-folds", "kernel_id": "32840217"}, {"ref": "hengck23/experiment-results-for-rsna", "kernel_id": "32880710"}, {"ref": "allunia/rsna-breast-cancer-eda", "kernel_id": "32845747"}, {"ref": "jonathangrant/eda-fastai-timm-approach", "kernel_id": "32980941"}, {"ref": "tmyok1984/rsna-stratifiedgroupkfold", "kernel_id": "32829291"}, {"ref": "tmyok1984/rsna-convert-dcm-to-jpg", "kernel_id": "32850147"}, {"ref": "tmyok1984/pydicom-offline-installer", "kernel_id": "32851274"}, {"ref": "alicew1800/rsna-fastai-simple-cnn-train-inference", "kernel_id": "32954747"}, {"ref": "vslaykovsky/infer-pytorch-aux-targets-weighted-loss-thres", "kernel_id": "32909398"}, {"ref": "vslaykovsky/rsna-cut-off-empty-space-from-images", "kernel_id": "32968473"}, {"ref": "vslaykovsky/train-pytorch-aux-targets-weighted-loss-thres", "kernel_id": "32920769"}, {"ref": "fabiendaniel/dicom-cropped-resized-png-jpg", "kernel_id": "32980121"}, {"ref": "takuok/rsna2022-git", "kernel_id": "32959668"}, {"ref": "takuok/rsna2022-libs", "kernel_id": "32938869"}, {"ref": "takuok/rsna2022-split-data", "kernel_id": "32896302"}, {"ref": "takuok/fork-of-rsna-2022-baseline-effnetb3-a39288", "kernel_id": "32990064"}, {"ref": "shams1/rsna-b", "kernel_id": "32830003"}, {"ref": "quincyqiang/rsna-breastcancer-whls", "kernel_id": "32868277"}, {"ref": "anubhav1302/breast-cancer-detection-eda", "kernel_id": "32912307"}, {"ref": "snnclsr/roi-extraction-using-opencv", "kernel_id": "32911356"}, {"ref": "snnclsr/rsna-pytorch-baseline-training", "kernel_id": "32880021"}, {"ref": "benfaraji/rsna-smbcd-model-training", "kernel_id": "32896683"}, {"ref": "boydbigdatarpg/simple-start-with-tuned-lgbm", "kernel_id": "32862608"}, {"ref": "docxian/rsna-breast-cancer-impact-of-structured-data", "kernel_id": "32848825"}, {"ref": "alimbekovkz/eda-image-crop-albumentations-augs", "kernel_id": "32862169"}, {"ref": "tanreinama/blending-se-resnext50-and-convnextv2", "kernel_id": "32908424"}, {"ref": "tanreinama/training-efficientnet-with-tpu-in-rsna-screening", "kernel_id": "32906483"}, {"ref": "dschettler8845/rsna-bcd-simple-age-baseline-submission", "kernel_id": "32892741"}, {"ref": "theoviel/dicom-resized-png-jpg", "kernel_id": "32830911"}, {"ref": "theoviel/rsna-breast-baseline-inference", "kernel_id": "32905442"}, {"ref": "bwallyn/rsna-breast-cancer-detection-eda", "kernel_id": "32905153"}, {"ref": "hlly34/effnet-b4-baseline", "kernel_id": "32915261"}, {"ref": "koert6/datagenerator-tensorflow", "kernel_id": "32871365"}, {"ref": "koert6/eda-rsna", "kernel_id": "32838799"}, {"ref": "ssarkar445/rsna-eda-all-you-need", "kernel_id": "32932170"}, {"ref": "phamquochuy1101/rsna-breast-baseline-inference", "kernel_id": "32932967"}, {"ref": "anastasiiaselezen/rsna-data-overview", "kernel_id": "32871044"}, {"ref": "joaosantinha/clinical-info-eda-rsna-breast-screening-2022", "kernel_id": "32871572"}, {"ref": "rimzakhama/rsna-pytorch-baseline-training-for-beginners", "kernel_id": "32904577"}, {"ref": "mvvppp/rsna-interactive-mammography-eda", "kernel_id": "32842150"}, {"ref": "artemzapara/rsna-2022-interactive-eda-with-plotly", "kernel_id": "32908886"}, {"ref": "kiddu88/rsna-breast-cancer-detection", "kernel_id": "32886409"}, {"ref": "sercanyesiloz/rsna-breast-cancer-detection-eda", "kernel_id": "32842630"}, {"ref": "rajaahdjey/1-basic-eda", "kernel_id": "32987874"}, {"ref": "rajaahdjey/project-homepage-mammography-cancer-detection", "kernel_id": "32987783"}, {"ref": "mpwolke/mammographic-screening-dcm", "kernel_id": "32852749"}, {"ref": "gabrielbchacon/start-w-ensemble-xgboost-lgbm-catboost-tuned", "kernel_id": "32911070"}, {"ref": "zarahshibli/eda-breast-cancer-detection", "kernel_id": "32909879"}, {"ref": "hasanbasriakcay/rsna-eda-hog-features-modeling", "kernel_id": "32968684"}, {"ref": "heyytanay/rsna-pytorch-multi-gpu-training-w-b-fp16", "kernel_id": "32823439"}, {"ref": "heyytanay/train-pytorch-lightning-gpu-tpu-w-b-kfolds", "kernel_id": "32985886"}, {"ref": "reighns/test-submission-for-cnn-model", "kernel_id": "32869823"}, {"ref": "micheomaano/save-cropped-images", "kernel_id": "32823453"}, {"ref": "andradaolteanu/rsna-breast-cancer-eda-pytorch-baseline", "kernel_id": "32973061"}, {"ref": "awsaf49/metric-probabilistic-fscore-tf-torch-numpy", "kernel_id": "32839218"}, {"ref": "tomooinubushi/some-lb-probing-results-to-share", "kernel_id": "32904284"}, {"ref": "dinowun/eda-simplified-rsna-smbcd", "kernel_id": "32850091"}, {"ref": "dhruvkhatri/infer-simple-rsna-submission", "kernel_id": "32997094"}, {"ref": "masatakaitakura/eda-for-beginner-rsna-mammography-breast-cancer", "kernel_id": "32953606"}, {"ref": "younesselbrag/rsna-predicting-cancer-probability", "kernel_id": "32884956"}, {"ref": "lonnieqin/probabilistic-f1-score-tensorflow-implementation", "kernel_id": "32979607"}, {"ref": "datafan07/multi-channel-images-with-different-windows", "kernel_id": "32948535"}, {"ref": "remekkinas/breast-cancer-roi-brest-extractor", "kernel_id": "32902866"}, {"ref": "ridwanultanvir/rsna-eda-training-efficientnet-pytorch-lighting", "kernel_id": "32987214"}, {"ref": "davidbroberts/mammography-apply-windowing", "kernel_id": "32884162"}, {"ref": "davidbroberts/mammography-pad-to-square", "kernel_id": "32881828"}, {"ref": "davidbroberts/mammography-remove-letter-markers", "kernel_id": "32953765"}, {"ref": "vovinsa/new-train-pipeline", "kernel_id": "32829893"}, {"ref": "mikhaildonskoy/eda-with-observations-data-structure", "kernel_id": "32827297"}, {"ref": "mikhaildonskoy/fork-of-eda-with-observations-data-structure", "kernel_id": "32983956"}, {"ref": "jirkaborovec/mammography-eda-loading-dicom", "kernel_id": "32894025"}, {"ref": "jirkaborovec/mammography-convert-windowing-dicom-png", "kernel_id": "32897198"}, {"ref": "jirkaborovec/mammography-baseline-flash-effnet-augment", "kernel_id": "32942152"}, {"ref": "jirkaborovec/mammography-flash-inference", "kernel_id": "32990086"}, {"ref": "deusduke/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "32933449"}, {"ref": "yoshikuwano/rsna-eda-in-dicom-data", "kernel_id": "32929126"}, {"ref": "ernnnn4u/lgb-learn-nothing-haha", "kernel_id": "32882844"}, {"ref": "vivekprajapati2048/rsna-bc-baseline-pytorch-model-train-inference", "kernel_id": "32942225"}, {"ref": "desalegngeb/rsna-beast-cancer-detection-exploring-the-data", "kernel_id": "32834689"}, {"ref": "mohammaddehghan/rsna-breast-full-comprehension-and-eda", "kernel_id": "32877903"}, {"ref": "nguynththanhho/rsna-breast-cancer-preprocescing", "kernel_id": "32928812"}, {"ref": "onkur7/eda-of-image-dataset-mammography-images", "kernel_id": "32969528"}, {"ref": "jackysywk/newbie-exploratory-data-analysis", "kernel_id": "32840379"}, {"ref": "asimple/pytorch-dataloader-pattern-rsna", "kernel_id": "32908439"}, {"ref": "asimple/train-baseline-w-b-transformer-1-5fold-rsna", "kernel_id": "32869255"}, {"ref": "asimple/split-folds-rsna", "kernel_id": "32851013"}, {"ref": "asimple/eda-rsna", "kernel_id": "32842029"}, {"ref": "xxxxyyyy80008/rsna-breast-cancer-detection-train-efficientnet", "kernel_id": "32951928"}, {"ref": "xxxxyyyy80008/rsna-image-processing-crop-resize-and-save", "kernel_id": "32949008"}, {"ref": "xxxxyyyy80008/rsna-image-processing-resize-and-augmentation", "kernel_id": "32942416"}, {"ref": "xxxxyyyy80008/rsna-eda-and-modeling", "kernel_id": "32847350"}, {"ref": "paarthbhatnagar/rsna-train", "kernel_id": "32933735"}, {"ref": "paarthbhatnagar/rsna-eda-asking-questions-to-data", "kernel_id": "32834644"}, {"ref": "paarthbhatnagar/rsna-annotated-explanation-of-evaluation-metric", "kernel_id": "32832437"}, {"ref": "sandhyakrishnan02/rsna-know-your-data-in-depth", "kernel_id": "32825437"}, {"ref": "animeshhalder/bcd-v1-0", "kernel_id": "32917250"}, {"ref": "satyaprakashshukl/eda-screening-detection", "kernel_id": "32839629"}, {"ref": "satyaprakashshukl/rsna-classification", "kernel_id": "32841672"}, {"ref": "rsiva1104/eda-and-data-analysis", "kernel_id": "32831684"}, {"ref": "rsiva1104/model-score-0-4", "kernel_id": "32896690"}, {"ref": "ismaelalpaso/eda-rsna-breast-cancer-detection-model", "kernel_id": "32842211"}, {"ref": "imvision12/pytorch-efficientnet-training-1000-images", "kernel_id": "32830756"}, {"ref": "salmanahmedtamu/pytorch-nfnet-l1-512-50-epochs", "kernel_id": "32904757"}, {"ref": "salmanahmedtamu/tfrecord-1024x1024-rsna", "kernel_id": "32923377"}, {"ref": "salmanahmedtamu/faster-dicom-loading-and-cropping", "kernel_id": "32940252"}, {"ref": "adharsh1623/yolov7-breast-cancer", "kernel_id": "32559354"}, {"ref": "michaelgartsbein/save-cropped-images", "kernel_id": "32879417"}, {"ref": "osmanf/weak-eda", "kernel_id": "32852632"}, {"ref": "osmanf/pytorch-dataset-and-dataloader", "kernel_id": "32878104"}, {"ref": "zakariajoudar/pydicom-breast-cancer", "kernel_id": "32919771"}, {"ref": "mattop/rsna-age-of-women-fast-eda", "kernel_id": "32815656"}, {"ref": "lau01b/rsna-train-png", "kernel_id": "32866484"}, {"ref": "mr0106/rsmabcd", "kernel_id": "32955204"}, {"ref": "codewarrior101/rsna-screening-mammography-breast-cancer-detect", "kernel_id": "32856039"}, {"ref": "horikitasaku/rsna-breast-baseline-inference", "kernel_id": "32927155"}, {"ref": "yaswanth2802/level-1-eda", "kernel_id": "32822382"}, {"ref": "miltiadesgeneral/exploring-the-data", "kernel_id": "32852644"}, {"ref": "miltiadesgeneral/classification-model-using-tensorflow", "kernel_id": "32892857"}, {"ref": "mmoore23/initial-eda-and-image-loading", "kernel_id": "32884540"}, {"ref": "krishnakalyan3/eda-breast-cancer", "kernel_id": "33270966"}, {"ref": "hengck23/notebook8875e48da3", "kernel_id": "33165919"}, {"ref": "hengck23/stress-test-fast-dicom-decoding-for-2048", "kernel_id": "33268231"}, {"ref": "hengck23/combine-dali-and-dicomsdl-for-reading-dicom-files", "kernel_id": "33232681"}, {"ref": "hengck23/proprocess-function-e-g-crop-breast-region", "kernel_id": "33953843"}, {"ref": "hengck23/yet-another-admani-model-braixprotopnet", "kernel_id": "33772152"}, {"ref": "hengck23/mvccl-model-for-admani-dataset", "kernel_id": "33628300"}, {"ref": "subbuvolvosekar/rsna-breastcancer-data-understanding", "kernel_id": "33228160"}, {"ref": "rdizzl3/ryan-dataset-cross-validation", "kernel_id": "33363783"}, {"ref": "maxme1/preprocessing-cache-augmentation-with-connectome", "kernel_id": "33814523"}, {"ref": "vesnalukic/eda-breast-cancer-dataset", "kernel_id": "33088779"}, {"ref": "vesnalukic/keras-training-dataset", "kernel_id": "33841969"}, {"ref": "tmyok1984/dicomsdl-offline-installer", "kernel_id": "33101874"}, {"ref": "kim145/rsna-training-dataset-exploration-patient-level", "kernel_id": "33752193"}, {"ref": "yiheng/monai-baseline-inference", "kernel_id": "33831251"}, {"ref": "yiheng/monai-pipeline-training", "kernel_id": "33968134"}, {"ref": "mpware/rsna-dicom", "kernel_id": "33197325"}, {"ref": "huynhdoo/rsna-tfrec-roi-512x512", "kernel_id": "33234644"}, {"ref": "nitin29/mlo-cc-combined", "kernel_id": "33713851"}, {"ref": "snaker/exhaustiveweightedrandomsampler", "kernel_id": "33901967"}, {"ref": "snaker/easy-load-the-image-with-nvjpeg2000", "kernel_id": "33214615"}, {"ref": "andreeasandu/eda-rsna-breast-cancer-detection", "kernel_id": "33959399"}, {"ref": "hasangoni/submission-scoring-failing", "kernel_id": "33903526"}, {"ref": "hasangoni/create-smaller-dataset-for-faster-experimentation", "kernel_id": "33618379"}, {"ref": "hasangoni/first-submission-with-smaller-dataset", "kernel_id": "33640537"}, {"ref": "hasangoni/first-learner", "kernel_id": "33664058"}, {"ref": "hasangoni/offline-inference-submission-sucess", "kernel_id": "33665799"}, {"ref": "tivfrvqhs5/decode-jpeg2000-dicom-with-dali", "kernel_id": "33155034"}, {"ref": "tivfrvqhs5/torch-tensorrt-infer-fp16-and-fp32-benchmarks", "kernel_id": "33825377"}, {"ref": "aliphya/in-depth-analysis-of-the-data", "kernel_id": "33218102"}, {"ref": "pib73nl/rsna-bcd-tensorflow-dn201-768x512-tfrecords", "kernel_id": "33231869"}, {"ref": "mohuahaldar/bc-eda", "kernel_id": "33141495"}, {"ref": "dhinkris/baselinesubmission", "kernel_id": "33876861"}, {"ref": "dhinkris/optimized-submission", "kernel_id": "33905367"}, {"ref": "dhinkris/eda-speculation-using-tensorflow-torchio", "kernel_id": "33697495"}, {"ref": "wwhlazio/resnet-coviriate-analysis", "kernel_id": "33189533"}, {"ref": "mikecho/rsna-breast-cancer-dicom-png-bicubic", "kernel_id": "33106164"}, {"ref": "mikecho/rsna-breast-cancer-dicom-png-nearest", "kernel_id": "33106182"}, {"ref": "mikecho/rsna-breast-cancer-dicom-png-lanczos4", "kernel_id": "33070947"}, {"ref": "pheusel/how-to-install-dependencies-in-offline-notebooks", "kernel_id": "33538859"}, {"ref": "larsmadsen/convert-and-crop-training-images", "kernel_id": "33467663"}, {"ref": "larsmadsen/svm-scikit-learn-classifier-on-tabular-data", "kernel_id": "33835268"}, {"ref": "fraolgelana/eda-and-resnet-baseline", "kernel_id": "33083080"}, {"ref": "slythe/rsna-keras-resnet-modelling", "kernel_id": "33260772"}, {"ref": "sakarilukkarinen/rsna-2022-dicom-data", "kernel_id": "33765803"}, {"ref": "etrdfdfd/rsna-baseline-keras-model", "kernel_id": "33615956"}, {"ref": "crischir/a-wavelet-layer-for-tensorflow-eda", "kernel_id": "33922400"}, {"ref": "anitho2910/eda-notebook-breast-cancer", "kernel_id": "33119265"}, {"ref": "anitho2910/fastai-training-resnet50-breast-cancer", "kernel_id": "33352515"}, {"ref": "phuchnguyen/rsna-breast-cancer-detection-data-wrangling", "kernel_id": "33876847"}, {"ref": "yourwifeisdead/pytorch-lighthning-train-model-dataset-roi-crop", "kernel_id": "33466432"}, {"ref": "oneobi/rsna-image-preprocessing", "kernel_id": "33836268"}, {"ref": "utm529fg/eng-rsna-eda-understanding-train-data", "kernel_id": "33480544"}, {"ref": "jacoporepossi/deep-learning-basics-5-popular-pytorch-methods", "kernel_id": "33668805"}, {"ref": "beezus666/dicom-to-png-to-roi-png", "kernel_id": "33624190"}, {"ref": "beezus666/dicom-to-png-to-predict", "kernel_id": "33337967"}, {"ref": "zzy990106/nvjpeg-python", "kernel_id": "33059057"}, {"ref": "ipythonx/keras-rsna-breast-cancer-detection", "kernel_id": "33005877"}, {"ref": "bobdegraaf/dicomsdl-voi-lut", "kernel_id": "33867058"}, {"ref": "craigmthomas/rsna-2022-eda", "kernel_id": "33068069"}, {"ref": "theoviel/rsna-breast-baseline-faster-inference-with-dali", "kernel_id": "33230225"}, {"ref": "theoviel/breast-density-classification-using-monai", "kernel_id": "33088658"}, {"ref": "dog14230pp/rsna1-resnet50", "kernel_id": "33460269"}, {"ref": "koert6/test-submit-model", "kernel_id": "33025500"}, {"ref": "koert6/train-model", "kernel_id": "33253204"}, {"ref": "shubhamagnihotri/rsna-breast-cancer-eda-addedmorevisuals", "kernel_id": "33253005"}, {"ref": "shameinew/rsna-bc-prediction", "kernel_id": "33447152"}, {"ref": "stpeteishii/mammography-conv2d-with-cropped-images", "kernel_id": "33763344"}, {"ref": "namansingh2803/pytorch-efficientnet-b4-fp16-training", "kernel_id": "33728631"}, {"ref": "karrrrrrrr/rsna-screening-mammography-breast-cancer-de-498a6e", "kernel_id": "33396324"}, {"ref": "rimzakhama/rsna-dcm-images-to-pngs-same-format-as-input", "kernel_id": "33973769"}, {"ref": "kuntalpal/rsna-baseline", "kernel_id": "33450645"}, {"ref": "deltaechov/converting-dicom-to-png", "kernel_id": "33030186"}, {"ref": "rajaahdjey/1-b-eda-and-questions", "kernel_id": "33032873"}, {"ref": "deshram/rsna-breast-cancer-detection-all-ones-submission", "kernel_id": "33669566"}, {"ref": "leventelippenszky/autoencoder-for-breast-cancer-detection", "kernel_id": "33482283"}, {"ref": "leventelippenszky/eda-baseline-submission-age-normalized", "kernel_id": "33401568"}, {"ref": "jamesphoward/pf1-testing-is-it-ever-better-not-to-threshold", "kernel_id": "33737580"}, {"ref": "jitshil143/rsna-efficientnetv2-inference-tensorflow", "kernel_id": "33890817"}, {"ref": "prachi13/rsna-cancer-detection", "kernel_id": "33229106"}, {"ref": "awsaf49/rsna-bcd-noroi-kerascv-tf-train", "kernel_id": "33122825"}, {"ref": "awsaf49/rsna-bcd-noroi-kerascv-tf-infer", "kernel_id": "33141235"}, {"ref": "awsaf49/rsna-bcd-efficientnet-tf-tpu-1vm-train", "kernel_id": "33016485"}, {"ref": "awsaf49/rsna-bcd-efficientnet-tf-tpu-1vm-infer", "kernel_id": "33056139"}, {"ref": "awsaf49/rsna-bcd-gradcam-to-bbox", "kernel_id": "33273931"}, {"ref": "awsaf49/rsna-bcd-roi-methods-comparison", "kernel_id": "33153671"}, {"ref": "awsaf49/issue-rsna-bcd-gcvit-tpu-vm", "kernel_id": "33201327"}, {"ref": "sharvani0002/notebooke64998f8a6", "kernel_id": "33145604"}, {"ref": "pranay1990/eda-rsna-breast-cancer", "kernel_id": "33177169"}, {"ref": "taruto1215/rsna-breast-cancer-dicom-1-resized2048-png-jpg", "kernel_id": "33651724"}, {"ref": "mourinho384/inference-rsna-bcd", "kernel_id": "33090435"}, {"ref": "arnavjain1/tjml-rsna-introduction", "kernel_id": "33075041"}, {"ref": "saraswatitiwari/rsna-breast-cancer-detection", "kernel_id": "33863243"}, {"ref": "saraswatitiwari/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "33682214"}, {"ref": "bahaasaifalnasr/notebooka0256ded24", "kernel_id": "33959689"}, {"ref": "masatakaitakura/rsna-2022-for-beginner-detect-breast-area", "kernel_id": "33624412"}, {"ref": "masatakaitakura/eda-for-beginner-rsna-mammography-cancer", "kernel_id": "33192995"}, {"ref": "masatakaitakura/rsna-2022-transform-dicom-meta-info-to-dataframe", "kernel_id": "33246819"}, {"ref": "juliankern/ml-projekt", "kernel_id": "33544144"}, {"ref": "olegkomenchuk/rsna-breast-cancer-detection-eda", "kernel_id": "33064131"}, {"ref": "aschoning/creating-a-dataframe-for-dicom-images", "kernel_id": "33715215"}, {"ref": "thrilokemmadisetty/converting-dcm-to-png", "kernel_id": "33450232"}, {"ref": "markwijkhuizen/rsna-convnextv2-inference-tensorflow", "kernel_id": "33841895"}, {"ref": "markwijkhuizen/rsna-cropped-tfrecords-768x1344-dataset", "kernel_id": "33398298"}, {"ref": "markwijkhuizen/rsna-convnextv2-training-tensorflow-tpu", "kernel_id": "33437110"}, {"ref": "nourabentaher/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "33226657"}, {"ref": "dragonzhang/rsna-efficientnetv2-inference-tensorflow", "kernel_id": "33923126"}, {"ref": "aaron1288/very-simple-deep-learning-strategy", "kernel_id": "33997471"}, {"ref": "mayuramanawadu/eda-rsna-breast-cancer-detection", "kernel_id": "33954532"}, {"ref": "remekkinas/ray-parallel-processing-dicom-files-and", "kernel_id": "33103900"}, {"ref": "remekkinas/fast-dicom-processing-1-6-2x-faster", "kernel_id": "33097319"}, {"ref": "remekkinas/roi-detector-yolov5-training-and-annotations", "kernel_id": "33195339"}, {"ref": "satyanarayanam/train", "kernel_id": "33573657"}, {"ref": "ridwanultanvir/rsna-pattern-eda-pytorch-fast-ai", "kernel_id": "33145685"}, {"ref": "theodorospsarras/notebook5ec0873e1f", "kernel_id": "33319770"}, {"ref": "mikhaildonskoy/fast-ai-baseline", "kernel_id": "33220663"}, {"ref": "juanfkurucz/rsna-transformers-whl", "kernel_id": "33954116"}, {"ref": "luizhemerly/extracted-nocancer-image", "kernel_id": "33859132"}, {"ref": "luizhemerly/augmented-cancer-data", "kernel_id": "33770194"}, {"ref": "nikitaglazunov/breast-comp-eda", "kernel_id": "33931539"}, {"ref": "bhimrajyadav/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "33752877"}, {"ref": "venkatkumar001/breast-cancer-detection-baseline-eda-xgb-csv", "kernel_id": "33152951"}, {"ref": "markjimenez/rsna-mamography-with-cnn-in-pytorch", "kernel_id": "33596309"}, {"ref": "kerrit/rsna-m-eda-v2", "kernel_id": "33896407"}, {"ref": "cosmiccat/rsna-v1", "kernel_id": "33565706"}, {"ref": "onkur7/image-preprocessing-modular-approach", "kernel_id": "33371696"}, {"ref": "ahmedbelgacem/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "33586784"}, {"ref": "outwrest/weird-mammograms", "kernel_id": "33450656"}, {"ref": "outwrest/yolov5-roi-batch-dali-preprocessing-pipeline", "kernel_id": "33826769"}, {"ref": "hyunwoo2/rsna-grad-cam-visualization-with-trained-model", "kernel_id": "33808235"}, {"ref": "asimple/inference-baseline-w-b-transformer-1-5fold", "kernel_id": "33086123"}, {"ref": "asimple/roi-convert-dcm-to-png-rsna", "kernel_id": "33243151"}, {"ref": "davidjohnmillard/tfwriter-rsna", "kernel_id": "33984805"}, {"ref": "feezakhankhanzada/training-and-evaluating-with-basic-cnn", "kernel_id": "33886650"}, {"ref": "pourchot/rsna-test-models-torch-1", "kernel_id": "33866636"}, {"ref": "doanthinhvo/train-lightning-aux-targets-weighted-loss-gpus", "kernel_id": "33783895"}, {"ref": "ajrobbins/eda-training-a-fast-ai-model-submission", "kernel_id": "33892692"}, {"ref": "ihmouhamadoulkairou/rsna-breast-cancer-detection", "kernel_id": "33717187"}, {"ref": "cafelatte1/rsna-eda-focus-on-value-ratio", "kernel_id": "33588907"}, {"ref": "cafelatte1/rsna-baseline-with-logistic-regression", "kernel_id": "33545888"}, {"ref": "mujrush/train-pytorch-simple-baseline", "kernel_id": "33402704"}, {"ref": "chaitanyagiri/rsna-breast-cancer-training-with-2-t4", "kernel_id": "33686035"}, {"ref": "chaitanyagiri/rsna-breast-cancer-inference-with-2-t4", "kernel_id": "33647714"}, {"ref": "proloymondal/rsna-breast-cancer-detection", "kernel_id": "33929553"}, {"ref": "truthisneverlinear/breast-cancer-eda", "kernel_id": "33170228"}, {"ref": "truthisneverlinear/submission-baseline-efficientnet-b0-pytorch", "kernel_id": "33272840"}, {"ref": "gahyunson/train-csv-eda-in-korean", "kernel_id": "33508862"}, {"ref": "quachnam/breast-cancer-detection-roi-crop", "kernel_id": "33710207"}, {"ref": "olegbaryshnikov/rsna-coat-tf-training", "kernel_id": "33876156"}, {"ref": "olegbaryshnikov/rsna-coat-tf-inference", "kernel_id": "33976591"}, {"ref": "olegbaryshnikov/rsna-improved-roi-extraction-yolov5", "kernel_id": "33163045"}, {"ref": "olegbaryshnikov/rsna-tfrecods-resized-images-and-roi", "kernel_id": "33100456"}, {"ref": "ahmedhossam666/rsna-breast", "kernel_id": "33649633"}, {"ref": "abdallahwagih/effecientnetb3-rsna-breast-cancer-detection-93", "kernel_id": "33908359"}, {"ref": "ericwalterpefurayone/no-need-to-convert-dicom-to-png-for-training", "kernel_id": "33746144"}, {"ref": "kilogrand/fft-with-resnet50", "kernel_id": "33891637"}, {"ref": "maryiaznak/breast-cancer-detection-tf-cnn-train", "kernel_id": "33648326"}, {"ref": "maryiaznak/breast-cancer-detection-tf-cnn-test", "kernel_id": "33281823"}, {"ref": "jay2333/rsna-bcd-efficientnet-tf-tpu-1vm-train", "kernel_id": "33201331"}, {"ref": "jay2333/resnet50-baseline-in-tensorflow", "kernel_id": "33015442"}, {"ref": "clemchris/rbcd-pytorch-monai-train-infer", "kernel_id": "33175453"}, {"ref": "clemchris/rbcd-downloads", "kernel_id": "33151137"}, {"ref": "clemchris/rbcd-pytorch-timm-infer", "kernel_id": "33576445"}, {"ref": "clemchris/rbcd-pytorch-timm-train", "kernel_id": "33576318"}, {"ref": "mohdmuttalib/rsna-eda", "kernel_id": "33460138"}, {"ref": "arkadebmisra/rsna-neuralnetwork-train-prediction-submission", "kernel_id": "33203590"}, {"ref": "lethanhnghia/rsna-eda-crop-512", "kernel_id": "33735221"}, {"ref": "lethanhnghia/rsna-pytorch-simpletrain", "kernel_id": "33921247"}, {"ref": "matteoperfidio/rsna-bcd-efficientnetb3-train", "kernel_id": "33552082"}, {"ref": "matteoperfidio/rsna-bcd-dicom-roi-png", "kernel_id": "33699801"}, {"ref": "matteoperfidio/rsna-bcd-efficientnetb3-test", "kernel_id": "33704008"}, {"ref": "garudakai/garuda-roi-resize-flip", "kernel_id": "33602675"}, {"ref": "garudakai/cancers-in-the-eyes-of-human", "kernel_id": "33518389"}, {"ref": "limonhalder/rsna-efficientnetv2-training-tensorflow-tpu", "kernel_id": "33815719"}, {"ref": "limonhalder/rsna-breast-cancer-detectio-using-vgg16", "kernel_id": "33880125"}, {"ref": "sodipepaul/dcm-to-tfrecord", "kernel_id": "33792705"}, {"ref": "baoanh07/training", "kernel_id": "33710205"}, {"ref": "kaggleqrdl/fast-jpeg-lossless-decoding", "kernel_id": "33501379"}, {"ref": "kaggleqrdl/yolov5-roi-patch-poc", "kernel_id": "33439124"}, {"ref": "kaggleqrdl/gmic-test", "kernel_id": "33372241"}, {"ref": "kaggleqrdl/profile-dicom-resized-png-jpg", "kernel_id": "33039928"}, {"ref": "kaggleqrdl/non-image-eda", "kernel_id": "33007670"}, {"ref": "kaggleqrdl/13-minutes-decde-54k-dicom-using-new-96-core-arch", "kernel_id": "33939544"}, {"ref": "kaggleqrdl/baseline-32000-nvjpeg2000-dicomsdl", "kernel_id": "33605502"}, {"ref": "kaggleqrdl/baseline-read-32000-images", "kernel_id": "33562299"}, {"ref": "achoxic/rsna-mammo-eda", "kernel_id": "33491825"}, {"ref": "achoxic/rsna-mammo-example-gen-images-cropped-to-roi", "kernel_id": "33548968"}, {"ref": "abdullahathar/giki-rsna-cancer-detection", "kernel_id": "33948758"}, {"ref": "ahmedgeka/rsna-breast-cancer-detection-eda", "kernel_id": "33885025"}, {"ref": "rcsho0/rsna-breast-cancer-eda", "kernel_id": "33545138"}, {"ref": "rcsho0/rsna-breast-cancer-processing", "kernel_id": "33373117"}, {"ref": "suhancho/text-image-multimodal", "kernel_id": "33893804"}, {"ref": "dt19cs098omkartiwari/beast-cancer-detection", "kernel_id": "33744433"}, {"ref": "javigallego/rsna-complete-eda-external-data", "kernel_id": "33556170"}, {"ref": "javigallego/rsna-baseline", "kernel_id": "33597651"}, {"ref": "javigallego/rsna-inference-baseline", "kernel_id": "33650321"}, {"ref": "andrewrohm/breast-cancer-submission-a-high-schoolers-attempt", "kernel_id": "33907378"}, {"ref": "robber19/breast-classification-infer", "kernel_id": "33923985"}, {"ref": "melikedilekci/rsna-eda", "kernel_id": "33130749"}, {"ref": "alexandershumilin/rsna-transfer-learning-with-keras", "kernel_id": "33119230"}, {"ref": "kevinmorgado/eda-breast-cancer-detection", "kernel_id": "33307900"}, {"ref": "senapatirajesh/rsna-2022-breastcancer", "kernel_id": "33969801"}, {"ref": "azazaa/rsna-breast-cancer-detection-part-1-eda", "kernel_id": "33876543"}, {"ref": "handsomeevy/rsna-infer", "kernel_id": "33183323"}, {"ref": "owlmium/part-1-eda-and-data-preprocessing", "kernel_id": "33782791"}, {"ref": "owlmium/part-2-data-preprocessing-through-image-cropping", "kernel_id": "33925449"}, {"ref": "paulbacher/eda-rsna-breast-cancer-detection", "kernel_id": "33695714"}, {"ref": "paulbacher/custom-preprocessor-rsna-breast-cancer", "kernel_id": "33817818"}, {"ref": "salmon1/preprocessing-medical-image-dicom-to-png-and-save", "kernel_id": "33693239"}, {"ref": "salmon1/preprocessing-medical-image-crop-image", "kernel_id": "33705422"}, {"ref": "salmon1/algorthm-contour-image-processing", "kernel_id": "33705430"}, {"ref": "salmon1/crop-image-clone", "kernel_id": "33875337"}, {"ref": "prmahdish/mamo-saver", "kernel_id": "33749428"}, {"ref": "ridheshgoti/data-featuring-of-dcm-images", "kernel_id": "33660027"}, {"ref": "miltiadesgeneral/swin-transformer", "kernel_id": "33442759"}, {"ref": "umesalma/rsna-breast-baseline-inference", "kernel_id": "33806854"}, {"ref": "umesalma/rsna-breast-baseline-faster-inference-with-dali", "kernel_id": "33430430"}, {"ref": "tuongkhang/infer-pytorch-effnetb4", "kernel_id": "33376838"}, {"ref": "yueqhu/own-predict", "kernel_id": "33398009"}, {"ref": "sharvalishinde/beginner-rsna-tabular-data-eda", "kernel_id": "33584528"}, {"ref": "helprio/notebook6a36984996", "kernel_id": "33960473"}, {"ref": "helprio/efficientnet", "kernel_id": "33962251"}, {"ref": "daltonbermudez/cancer-detec-v1", "kernel_id": "33789365"}, {"ref": "amarielaf/rsna-1", "kernel_id": "33782963"}, {"ref": "shujaat91/tensorflow-basic-eda-and-training-vit", "kernel_id": "33270344"}, {"ref": "susmitha1623/yolov7-submitted-data", "kernel_id": "33495645"}, {"ref": "fanyang99/train-no-roi-512-lb0-24", "kernel_id": "33752468"}, {"ref": "fanyang99/rsna-roi-train-1024-512", "kernel_id": "33473310"}, {"ref": "sumiranverma/breast-cancer-prediction", "kernel_id": "33636572"}, {"ref": "nikolagavranovic/rsna-exploratory-data-analysis", "kernel_id": "33686640"}, {"ref": "alaamadi/draft2", "kernel_id": "33696410"}, {"ref": "alaamadi/first-submission-with-smaller-dataset", "kernel_id": "33661757"}, {"ref": "sownvth/rsna-breastcancer-bl", "kernel_id": "33682334"}, {"ref": "nbsm28/notebook737fe75f85", "kernel_id": "33752178"}, {"ref": "hengck23/example-of-multi-image-prediction", "kernel_id": "34559529"}, {"ref": "hengck23/3hr-tensorrt-nextvit-example", "kernel_id": "34018820"}, {"ref": "carlosaguayo/what-does-cancer-look-like", "kernel_id": "34055101"}, {"ref": "carlosaguayo/simple-huggingface-vit", "kernel_id": "34136536"}, {"ref": "toqitahamid/resnet26d-with-png-images-fast-ai", "kernel_id": "34109380"}, {"ref": "lucasrr/rsna-generate-1024x1024-data", "kernel_id": "34936893"}, {"ref": "tmyok1984/tensorrt-offline-installer", "kernel_id": "34249638"}, {"ref": "mikedev/convnext-submission", "kernel_id": "34201179"}, {"ref": "billqi/logistic-regression-tabular-data", "kernel_id": "34354951"}, {"ref": "gpreda/rsna-mammography-breast-cancer-eda", "kernel_id": "34241948"}, {"ref": "takuok/rsna2022-libs-v3", "kernel_id": "34730238"}, {"ref": "pib73nl/rsna-bsd-convert-dicom-to-tfrecords", "kernel_id": "34167476"}, {"ref": "chg0901/dicomsdl-pydicom-test", "kernel_id": "34830761"}, {"ref": "chg0901/eda-rsna-bcd-hong", "kernel_id": "34250679"}, {"ref": "asimandia/fastpredictbaseline", "kernel_id": "34133499"}, {"ref": "asimandia/two-projections-catalystbaseline-with-multigpu", "kernel_id": "34156694"}, {"ref": "asimandia/catalyst-inference-two-projections", "kernel_id": "34377392"}, {"ref": "zhuifeng414/pred-gcvit", "kernel_id": "34654901"}, {"ref": "dingyan/train-rsna-tf-keras-efficientnet-baseline-gpu-t4", "kernel_id": "34570468"}, {"ref": "dingyan/rsna-eda-pca-logistic-regression", "kernel_id": "34163243"}, {"ref": "christofhenkel/se-resnext50-full-gpu-decoding", "kernel_id": "34810859"}, {"ref": "crischir/rsna-breast-cancer-dicom-1-resizedjpg-3ch", "kernel_id": "34091467"}, {"ref": "crischir/dicomsdl-voi-lut", "kernel_id": "34149724"}, {"ref": "vinitkp/rsna-cancer", "kernel_id": "34648573"}, {"ref": "ollyrennard/rsna-training", "kernel_id": "34835593"}, {"ref": "ollyrennard/rsna-simple-baseline-predictions", "kernel_id": "34717887"}, {"ref": "ollyrennard/rsna-predictions-ready-for-goog", "kernel_id": "34909233"}, {"ref": "ashikshafi/rsna-starter", "kernel_id": "34732314"}, {"ref": "liushuzhi/breastcancerenv", "kernel_id": "34040041"}, {"ref": "batprem/utils-se-resnext50-full-gpu-decoding", "kernel_id": "34913820"}, {"ref": "batprem/utils-rsna-convnextv2-inference-tensorflow-0426c", "kernel_id": "34913859"}, {"ref": "stpeteishii/dicom-image-type-classify", "kernel_id": "34550442"}, {"ref": "stpeteishii/dicom-search-suitable-range-for-detection", "kernel_id": "34500184"}, {"ref": "stpeteishii/png-search-suitable-range-for-detection", "kernel_id": "34745812"}, {"ref": "hark99/rsna-breast-cancer-detection-score", "kernel_id": "34914657"}, {"ref": "rimzakhama/install-timm-package-without-internet", "kernel_id": "34365036"}, {"ref": "rimzakhama/rsna-pytorch-baseline-inference", "kernel_id": "34090640"}, {"ref": "kuntalpal/all-about-preprocessing-and-transfer-learning", "kernel_id": "34266486"}, {"ref": "kuntalpal/rsna-inference", "kernel_id": "34182968"}, {"ref": "ycleonard/data-process-crop", "kernel_id": "34371865"}, {"ref": "leventelippenszky/globally-aware-multiple-instance-classifier", "kernel_id": "34258806"}, {"ref": "jitshil143/rsna-eda-and-nii-files", "kernel_id": "34458010"}, {"ref": "jitshil143/rsna-breast-cancer-inference", "kernel_id": "34213642"}, {"ref": "derekxue/rsnabreastcancer", "kernel_id": "34160157"}, {"ref": "maximofn/rsna-breast-cancer-eda", "kernel_id": "34133848"}, {"ref": "michaelscheinfeilda/first-submission-with-smaller-dataset", "kernel_id": "34072089"}, {"ref": "michaelscheinfeilda/svm-scikit-learn-classifier-on-tabular-data", "kernel_id": "34294842"}, {"ref": "michaelscheinfeilda/copy-fast-ai-starter-pack-train-inference", "kernel_id": "34553669"}, {"ref": "michaelscheinfeilda/very-simple-deep-learning-strategy", "kernel_id": "34466353"}, {"ref": "yujiariyasu/einops-download", "kernel_id": "34359146"}, {"ref": "jarvisai7/organize-dataset-per-label", "kernel_id": "34983314"}, {"ref": "kiljaeden/create-a-new-png-dataset-in-an-hour-on-tpu", "kernel_id": "34298593"}, {"ref": "hideyukizushi/tensorrt-sample", "kernel_id": "34657813"}, {"ref": "hideyukizushi/rsna-pp-convert-jpg-x1024", "kernel_id": "34959567"}, {"ref": "yosukeshichijo/rsna-breast-cancer-eda", "kernel_id": "34683582"}, {"ref": "atshimamura/jpn-image-cropping", "kernel_id": "34357320"}, {"ref": "atshimamura/jpn-getting-started-with-keras-low-score", "kernel_id": "34365620"}, {"ref": "altafk/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "34826638"}, {"ref": "rasoulmojtahedzadeh/test-bug-out-of-memory", "kernel_id": "34622504"}, {"ref": "markwijkhuizen/test-bug-out-of-memory", "kernel_id": "34643312"}, {"ref": "johngarofalo/pygrad", "kernel_id": "34557292"}, {"ref": "umongsain/vision-transformer-from-scratch-pytorch", "kernel_id": "34321659"}, {"ref": "umongsain/multi-gpu-training-on-kaggle-2x-ram", "kernel_id": "34365594"}, {"ref": "phamlequangnhat/fastai-version", "kernel_id": "34290747"}, {"ref": "raufmomin/roi-extractor-pre-processing-dicom-simple-way", "kernel_id": "34164999"}, {"ref": "luizhemerly/image-data-by-folder", "kernel_id": "34025037"}, {"ref": "nicehzj/rsna-tensorrt-inference", "kernel_id": "34505066"}, {"ref": "ilikedeeplearning/tabular-benchmark-and-eda", "kernel_id": "34560077"}, {"ref": "julianmacnamara/rsna-breast-cancer-detection-pttoa-v1-1", "kernel_id": "34755688"}, {"ref": "julianmacnamara/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "34408825"}, {"ref": "sashanktalakola/pytorch", "kernel_id": "34144681"}, {"ref": "paosharma/rsna-bcd-gradacam-to-bbox", "kernel_id": "34962962"}, {"ref": "lyly123/breast-cancer-model-cnn-pytorch", "kernel_id": "34391147"}, {"ref": "lyly123/breast-cancer-restnet50", "kernel_id": "34879059"}, {"ref": "ayubaahmed/eda-data-preprocessing-and-feature-engineering", "kernel_id": "34990421"}, {"ref": "rayanesegueg/exploratory-vgg19-transferlearning", "kernel_id": "34057768"}, {"ref": "tanakatentyo/rsna-cropped-tfrecords-768x1344-dataset", "kernel_id": "34538296"}, {"ref": "erikmartorilpez/eda-xception-fine-tuning", "kernel_id": "34091820"}, {"ref": "outwrest/2xt4-dali", "kernel_id": "34555598"}, {"ref": "salmasultan98/rsna-1-salma", "kernel_id": "34949382"}, {"ref": "salmasultan98/rsna2salma", "kernel_id": "34954311"}, {"ref": "rameshsimhadri/simple-deep-learning-strategy-slightly-improved", "kernel_id": "34464994"}, {"ref": "uladzislaumitskevich/breast-cancer-detection-training", "kernel_id": "34180604"}, {"ref": "haidermasood/1-feb-nasnet-mobnet-90-acc", "kernel_id": "34657160"}, {"ref": "eishahassan/xception-with-mammogram", "kernel_id": "34302128"}, {"ref": "prutsaowaprut/rsna-dicom-pytorch-dataloader-simple", "kernel_id": "34619317"}, {"ref": "micheldc55/how-to-read-dcm-dicom-data", "kernel_id": "34590682"}, {"ref": "nguyenthithanhhoa/test-ckpt", "kernel_id": "34508708"}, {"ref": "kosuketakeda/rsna-library", "kernel_id": "34386091"}, {"ref": "tejassurajkoundinya/rsna-breast-cancer-eda-detection", "kernel_id": "34656099"}, {"ref": "rasoulisaeid/rsna-breast-cancer", "kernel_id": "34184033"}, {"ref": "bhuynguyn/rsna-training", "kernel_id": "34957387"}, {"ref": "olegbaryshnikov/easy-to-use-dali-roi", "kernel_id": "34075122"}, {"ref": "gokifujiya/medical-image-classification-baseline-with-pytorch", "kernel_id": "34935353"}, {"ref": "enriquealans/failed-attemp-pytorch", "kernel_id": "34556595"}, {"ref": "srikanteswartalluri/rsna-breast-cancer-detection-tierra", "kernel_id": "34136497"}, {"ref": "ericwalterpefurayone/test-images-png", "kernel_id": "34784503"}, {"ref": "kilogrand/vit-inference-pytorch", "kernel_id": "34597329"}, {"ref": "pranavkuppa/rsna-inference", "kernel_id": "34070529"}, {"ref": "garudakai/rsna-convnextv2-training-tensorflow-tpu", "kernel_id": "34964166"}, {"ref": "theowalcot/rsna-screening-mammography", "kernel_id": "34108049"}, {"ref": "divyapatel4/few-shot-segmentation-updated-on-t4x2", "kernel_id": "34865048"}, {"ref": "divyapatel4/few-shot-segmentation-query-ref-on-t4x2", "kernel_id": "34500397"}, {"ref": "riyajain19103029/notebook9394a470d5", "kernel_id": "34499441"}, {"ref": "hngnguynkhnh/3hr-tensorrt-nextvit-example", "kernel_id": "34901153"}, {"ref": "kaggleqrdl/fork-of-13-minutes-decde-54k-dicom-using-new-96-co", "kernel_id": "34027804"}, {"ref": "thiruloksundar/rsna-inf-2", "kernel_id": "34231394"}, {"ref": "suhancho/test-dicom-image-to-pngs", "kernel_id": "34638212"}, {"ref": "suhancho/resnet50-tl-image-preproc-sub", "kernel_id": "34188572"}, {"ref": "lucario129/infer-pytorch-baseline", "kernel_id": "34433546"}, {"ref": "lucario129/rsna-breast-cancer-eda-pytorch-baseline", "kernel_id": "34066305"}, {"ref": "barakgavriel/rsna-resnet50-training", "kernel_id": "34904902"}, {"ref": "johntjohnson/dicom-faster-image-crop-resize-and-save", "kernel_id": "34461762"}, {"ref": "hamzabessa/breast-cancer-detection", "kernel_id": "34592857"}, {"ref": "hamzabessa/breast-cancer-detection-version-resnet", "kernel_id": "34738048"}, {"ref": "osmanf/upload-kaggle-data-to-huggingface", "kernel_id": "34521511"}, {"ref": "dangnh0611/1st-place-submission-code", "kernel_id": "34990175"}, {"ref": "robber19/vit-224-infer", "kernel_id": "34299213"}, {"ref": "denismunene/effnet-classification", "kernel_id": "34976940"}, {"ref": "senapatirajesh/breast-cancer-eda-model-building", "kernel_id": "34001137"}, {"ref": "sunmin1010/rsna-bcd-efficientnet-tf-tpu-1vm-train", "kernel_id": "34568867"}, {"ref": "bhaswatachoudhury/cancer-draft", "kernel_id": "34048986"}, {"ref": "arushikabansal/yessssssssssssssss", "kernel_id": "34270511"}, {"ref": "nizarhaytham/rsna-extraction-2", "kernel_id": "34107566"}, {"ref": "owlmium/part-3-train-models-transfer-learning-xception", "kernel_id": "34036776"}, {"ref": "seungha164/jeonhyo-remake-code", "kernel_id": "34958123"}, {"ref": "paulbacher/training-rsna-bcd-keras-model", "kernel_id": "34267910"}, {"ref": "danfu42/kaggle-machine-learning-comp", "kernel_id": "34958350"}, {"ref": "prmahdish/new-saver", "kernel_id": "34958100"}, {"ref": "prmahdish/new-train", "kernel_id": "34953707"}, {"ref": "pratyushraj07/part2rsna", "kernel_id": "34693947"}, {"ref": "pratyushraj07/inference-rsna", "kernel_id": "34887072"}, {"ref": "pratyushraj07/kfold-effnet-train", "kernel_id": "34962694"}, {"ref": "pratyushraj07/inference-effnet", "kernel_id": "34974517"}, {"ref": "sanmaprogramming/rsna-eda", "kernel_id": "34136987"}, {"ref": "rftlim/rsna-breast-cancer-detection-for-beginners", "kernel_id": "34120108"}, {"ref": "miltiadesgeneral/resnetmodel", "kernel_id": "34443063"}, {"ref": "nainamk/resnet50-tensorflow-rsna", "kernel_id": "34698794"}, {"ref": "deannahedges/breast-cancer-detection-data-exploration", "kernel_id": "34726998"}, {"ref": "deannahedges/breast-cancer-detection-using-fast-ai", "kernel_id": "34888515"}, {"ref": "deannahedges/mammography-competition-with-png-dataset", "kernel_id": "34953214"}, {"ref": "niralpdesai/rsna-screening-mammography-npd-dk-predictions", "kernel_id": "34851201"}, {"ref": "umesalma/mammography-breast-cancer-detection", "kernel_id": "34837810"}, {"ref": "antrarajpurohit/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "34673621"}, {"ref": "cemilzilci/notebook2c61d6e0f9", "kernel_id": "34806784"}, {"ref": "programmaticart/nextvit-tensorrt-inference-pytorch", "kernel_id": "34560057"}, {"ref": "nikolagavranovic/image-preprocessing", "kernel_id": "34319352"}, {"ref": "nikolagavranovic/training-resnet18-pytorch", "kernel_id": "34688315"}, {"ref": "olaf2357/submission-code-rsna", "kernel_id": "34207122"}, {"ref": "jjanghyo/pytorch-starter-image-classification", "kernel_id": "34834941"}, {"ref": "jjanghyo/jeonhyo-remake-code", "kernel_id": "34392904"}, {"ref": "arijitdas2002/train-pytorch-rsna", "kernel_id": "34443839"}, {"ref": "ahmedbenazzouz/rsna-breast-cancer-detection", "kernel_id": "34690244"}, {"ref": "anttiisosalo/breast-density-estimation-rsna-bc-detection", "kernel_id": "34852110"}, {"ref": "anttiisosalo/solt-based-image-augs-rsna-bc-detection", "kernel_id": "34662778"}, {"ref": "anttiisosalo/16-bit-post-processing-rsna-bc-detection", "kernel_id": "34956264"}, {"ref": "anttiisosalo/birads-classification-rsna-bc-detection", "kernel_id": "34985728"}, {"ref": "anlthms/rsna-mammogram-model-error-analysis", "kernel_id": "35218308"}, {"ref": "hengck23/zero-submission-for-debug", "kernel_id": "35196720"}, {"ref": "darraghdog/rsnabc-pip-wheel", "kernel_id": "35587362"}, {"ref": "darraghdog/4th-place-submission-cdi", "kernel_id": "35992040"}, {"ref": "leweisele/cancer-positive-case-oversampling", "kernel_id": "35236078"}, {"ref": "tmyok1984/rsna-inference-lightgbm", "kernel_id": "35503141"}, {"ref": "snaker/rsna-infer-t4-threshold", "kernel_id": "35350120"}, {"ref": "billqi/dali-convnext-5-fold-trt-2xt4", "kernel_id": "35083817"}, {"ref": "billqi/effnet-tf-to-onnx-to-tensorrt-2xt4", "kernel_id": "35011606"}, {"ref": "billqi/rsna-dali-effnets-trt-2xt4-inf", "kernel_id": "35215267"}, {"ref": "tivfrvqhs5/se-resnext50-gpu-optimized", "kernel_id": "35077818"}, {"ref": "pib73nl/rsna-bcd-tensorflow-dn201-768x512", "kernel_id": "35512544"}, {"ref": "chg0901/new-crop-and-hist-scaled-method-with-dali-tensor", "kernel_id": "35758293"}, {"ref": "none123455555/decode-jpeg2000-dicom-with-dali", "kernel_id": "35806952"}, {"ref": "tyeestudio/rsna-eda-pytorch-bl-without-wandb-dependency", "kernel_id": "35213255"}, {"ref": "michaelschroter/h5-catsndogs", "kernel_id": "35539474"}, {"ref": "amanatsu/rsna-mammo-rejection-ensemble-v2-ishikei", "kernel_id": "35479833"}, {"ref": "analokamus/ensemble-inference-for-external-data", "kernel_id": "35959727"}, {"ref": "vinitkp/rsna-cancer-2", "kernel_id": "35185625"}, {"ref": "hoanganhpham/fork-of-rsna-bcd-ensemble", "kernel_id": "35448495"}, {"ref": "ollyrennard/rsna-using-dicom-again", "kernel_id": "35431800"}, {"ref": "ollyrennard/rsna-training-with-validation", "kernel_id": "35057697"}, {"ref": "protegototalum/rsna-multiple-model-inference-tensorflow", "kernel_id": "35199614"}, {"ref": "protegototalum/5-fold-rsna-convextnet-train-wittensorflo", "kernel_id": "35236040"}, {"ref": "liushuzhi/2ndplacesolutionsingleviewinfer", "kernel_id": "35932922"}, {"ref": "yuiceee/ddsm-test", "kernel_id": "35136913"}, {"ref": "rimzakhama/rsna-inference", "kernel_id": "35322344"}, {"ref": "yujiariyasu/rsna-mammo-rejection-ensemble-ariyasu-v2", "kernel_id": "35455410"}, {"ref": "asklepije/training-script-nextvit-with-patchgd", "kernel_id": "35258128"}, {"ref": "edaaydinea/rsna-breast-cancer-detection", "kernel_id": "35204765"}, {"ref": "masato114/2stage-ensemble", "kernel_id": "35461439"}, {"ref": "masato114/rsna-generate-train-images", "kernel_id": "35766375"}, {"ref": "masato114/rsna-get-windowing-stat", "kernel_id": "35767302"}, {"ref": "masato114/rsna-tf-efficientnetv2s-tensorrt", "kernel_id": "35768244"}, {"ref": "jarvisai7/text-removal-from-medical-images", "kernel_id": "35239159"}, {"ref": "taruto1215/66th-lb-10th-simple-image-crop-kmeans", "kernel_id": "35534717"}, {"ref": "mashithaa/breast-cancer-detection-beginner", "kernel_id": "35110464"}, {"ref": "kjeevan/kagglex-bipoc-program-submission-notebook-jeevan", "kernel_id": "35930548"}, {"ref": "younesselbrag/fouriertransformer-pytorch-lighting-enhanced", "kernel_id": "35242762"}, {"ref": "koubouratouidjaton/rsna-breast-cancer-dataset-exploration-insights", "kernel_id": "35066684"}, {"ref": "koubouratouidjaton/breast-cancer-detection-tensorflow-decision-tree", "kernel_id": "35172219"}, {"ref": "jaketaranov/breast-cancer-forked", "kernel_id": "35864012"}, {"ref": "shubhamsindal0098/breast-cancer", "kernel_id": "35016606"}, {"ref": "julianmacnamara/rsna-breast-cancer-detection-v1-2", "kernel_id": "35069656"}, {"ref": "julianmacnamara/rsna-breast-cancer-detection-v1-3", "kernel_id": "35200016"}, {"ref": "hakancelik13/rsna-eda-cnn", "kernel_id": "35272961"}, {"ref": "kevin1742064161/yolx-nano-fold1", "kernel_id": "35356630"}, {"ref": "kevin1742064161/yolx-nano-fold2", "kernel_id": "35356647"}, {"ref": "kevin1742064161/yolx-nano-fold3", "kernel_id": "35356665"}, {"ref": "kevin1742064161/yolx-nano-fold0", "kernel_id": "35356327"}, {"ref": "lyly123/breastcancer-hrnet", "kernel_id": "35695137"}, {"ref": "noahpadilla/rsna-screening-mammography", "kernel_id": "35481796"}, {"ref": "vk2003/vision-transformer-from-scratch-pytorch", "kernel_id": "35637247"}, {"ref": "conweezy/rsna-submission-test", "kernel_id": "35145209"}, {"ref": "nreshma/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "35278934"}, {"ref": "abdulkadirguner/27subat-sub2-sites1and2", "kernel_id": "35500660"}, {"ref": "karan842/species-classification-92-vgg16-w-b", "kernel_id": "35266732"}, {"ref": "sarashahin/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "35076010"}, {"ref": "sarashahin/rsna-screening-mammography-breast-cancerdetection", "kernel_id": "35198089"}, {"ref": "forcewithme/dali-nightly-1-23-0", "kernel_id": "35217602"}, {"ref": "forcewithme/rsna-elegant-end2end-dali-infer-in-pytorch-style", "kernel_id": "35525663"}, {"ref": "forcewithme/0226-yoloxnano-yoloxs-mean2", "kernel_id": "35498412"}, {"ref": "forcewithme/final-lstm2", "kernel_id": "35500748"}, {"ref": "joerobcia/detectando-cancer", "kernel_id": "35078556"}, {"ref": "deusexspiravit/rsna-v3-1", "kernel_id": "35469635"}, {"ref": "gowrishankarp/rsna-simple-convnextv2-classification-training", "kernel_id": "35520157"}, {"ref": "gowrishankarp/rsna-simple-convnextv2-classification-inference", "kernel_id": "35462704"}, {"ref": "rajdhuri/rsna-breast-cancer-eda-classification", "kernel_id": "35058822"}, {"ref": "yoyobar/separated-normalization-make-image-clearer", "kernel_id": "35017410"}, {"ref": "pranavkuppa/rsna-training", "kernel_id": "35214585"}, {"ref": "pranavkuppa/rsna-creating-tfrecords", "kernel_id": "35927260"}, {"ref": "garudakai/blending-se-resnext50-and-convnextv2", "kernel_id": "35432375"}, {"ref": "moritake04/private10th-final-sub", "kernel_id": "35437750"}, {"ref": "meeratif/rsna-breast-cancer-prediction-eda", "kernel_id": "35026751"}, {"ref": "meeratif/dicom-to-png", "kernel_id": "35374344"}, {"ref": "ludditep/compile-ver49-84-85", "kernel_id": "35158705"}, {"ref": "smnuruzzaman/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "35063219"}, {"ref": "leehann/piidd-inference", "kernel_id": "35582043"}, {"ref": "davidnguyens12/breast-cancer", "kernel_id": "35654088"}, {"ref": "davidnguyens12/crop-image-rsna", "kernel_id": "35143170"}, {"ref": "mohammadamiri1/c2-breast-cancer-detection", "kernel_id": "35788446"}, {"ref": "mohammadamiri1/dicom-to-png", "kernel_id": "35671256"}, {"ref": "ihzonaid/notebook632ab30698", "kernel_id": "35103535"}, {"ref": "sabahesaraki/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "35611614"}, {"ref": "naothnim/rsna-pytorch-baseline-training", "kernel_id": "35974137"}, {"ref": "alexli2022/training-script-nextvit-with-patchgd", "kernel_id": "35391160"}, {"ref": "denismunene/breast-cancer-prediction-resnet50", "kernel_id": "35012638"}, {"ref": "pranjalkar9/rsna-google-vit-model", "kernel_id": "35148071"}, {"ref": "keremvitamu/pydicom-test", "kernel_id": "35673869"}, {"ref": "gualegua/notebook866f0d6751", "kernel_id": "35344155"}, {"ref": "azazaa/rsna-breast-cancer-detection-part-2-modeling", "kernel_id": "35253822"}, {"ref": "marcosgois07/breast-cancer-eda-prediction-with-resnet50", "kernel_id": "35266643"}, {"ref": "pratyushraj07/effnet-pos-train", "kernel_id": "35009632"}, {"ref": "yeemeitsang/breast-cancer-detection-pytorch", "kernel_id": "35453294"}, {"ref": "sanmaprogramming/rsna-env", "kernel_id": "35049491"}, {"ref": "deannahedges/mammography-challenge-dicom-to-png", "kernel_id": "35477650"}, {"ref": "deannahedges/mammogram-challenge-basic-model", "kernel_id": "35513309"}, {"ref": "deannahedges/mammography-comp-format-data-files", "kernel_id": "35412272"}, {"ref": "vishakkbhat/godhelpme", "kernel_id": "35164004"}, {"ref": "cormeraisflavio/rnsa-trying-solve-problem", "kernel_id": "35711908"}, {"ref": "allamamr/cancer-breast-detection-array-proj2", "kernel_id": "35515136"}, {"ref": "manojkumard28/rsna-screening-mammography-8f725f", "kernel_id": "35327035"}, {"ref": "hanyu1207/breast-cancer-goolenet", "kernel_id": "35186799"}, {"ref": "bdatmth/fast-ai-train-inference-512x512", "kernel_id": "35021439"}, {"ref": "kena0ki/optimized-rsna-convnextv2-inference-tensorflow", "kernel_id": "35223626"}, {"ref": "kena0ki/trt-optimized-rsna-convnextv2-inference", "kernel_id": "35369603"}, {"ref": "dankurland/rnsa-dk-and-npd-working-model-v2", "kernel_id": "35344787"}, {"ref": "anttiisosalo/eda-birads-rsna-bc-detection", "kernel_id": "35272505"}, {"ref": "priya028/eda-rsna-breast-cancer-detection", "kernel_id": "35877141"}, {"ref": "paynejones/rsna-breast-cancer-detection", "kernel_id": "35717105"}, {"ref": "rdizzl3/data-exploration-preprocessing", "kernel_id": "36082851"}, {"ref": "phuchnguyen/rsna-breast-cancer-detection-modelling", "kernel_id": "36382313"}, {"ref": "rimzakhama/methods-to-handle-imbalanced-data-pytorch", "kernel_id": "36980877"}, {"ref": "jaketaranov/rsna-breast-cancer-detection", "kernel_id": "36699903"}, {"ref": "elenagomezb/image-preprocessing", "kernel_id": "36975088"}, {"ref": "guosue/connected-components-analysis-cut-off-empty-space", "kernel_id": "36871107"}, {"ref": "gokifujiya/resnet50v2-tensorflow-and-rsna-mammography", "kernel_id": "36458562"}, {"ref": "gebreyowhansh/rsna-bcd-dicom-png-roi", "kernel_id": "36998457"}, {"ref": "sanandachowdhury/solt-based-image-augs-rsna-bc-detection", "kernel_id": "36834230"}, {"ref": "sanandachowdhury/rsna-interactive-mammography-eda", "kernel_id": "36990789"}, {"ref": "sabahesaraki/rsna-breast-cancer-eda-baseline", "kernel_id": "36120809"}, {"ref": "sabahesaraki/eda-training-model-rsna-breast-cancer", "kernel_id": "36119740"}, {"ref": "sabahesaraki/rsna-efficientnet", "kernel_id": "36189817"}, {"ref": "louispagnier/louis-pagnier", "kernel_id": "36790691"}, {"ref": "yerayb/training-resnet18-pytorch", "kernel_id": "36841061"}, {"ref": "deannahedges/mammography-submission", "kernel_id": "36911134"}, {"ref": "cemilzilci/notebookbb0f9ec10b", "kernel_id": "36206426"}, {"ref": "fanyang99/step2-stage1-train-on-rsna", "kernel_id": "36947931"}, {"ref": "fanyang99/step1-gpu-decoding", "kernel_id": "36947168"}, {"ref": "maxenceoden/tp1-algo-rep", "kernel_id": "36791996"}, {"ref": "basth94/tp-rsna", "kernel_id": "36791063"}, {"ref": "snehas23/d1-final-review", "kernel_id": "37255061"}, {"ref": "mistersilentgamer/notebook40760ab0c9", "kernel_id": "37126102"}, {"ref": "rofydamarey/resnet50v2-tensorflow-and-rsna-mammography", "kernel_id": "37287112"}, {"ref": "meghana007d/breast-cancer-3", "kernel_id": "37083747"}, {"ref": "clkmuhammed/dicom-image-reading-benchmark-test", "kernel_id": "37773296"}, {"ref": "clkmuhammed/rsna-breast-cancer-class-convnextv2-inference", "kernel_id": "37857933"}, {"ref": "anslava/mamogram", "kernel_id": "37945989"}, {"ref": "fanyang99/step3-stage2-finetune-on-rsna", "kernel_id": "37023599"}, {"ref": "fanyang99/step2-stage1-train-on-vindr", "kernel_id": "37020429"}, {"ref": "hadayamostafa1212/model", "kernel_id": "37594193"}, {"ref": "vinitshantilal/innovative", "kernel_id": "37278246"}, {"ref": "harpreetiitbhu1/mammography-challenge-dicom-to-png", "kernel_id": "37037265"}, {"ref": "gebreyowhansh/rsna-bcd-gpu-test", "kernel_id": "38348690"}, {"ref": "gebreyowhansh/rsna-bcd-train-tpu-vm", "kernel_id": "38285557"}, {"ref": "iahmedelg/eda-rsna-breast-cancer-detection", "kernel_id": "38475973"}, {"ref": "mnasrulhakim86/rsna-breast-cancer-detection-preprocessing", "kernel_id": "38316283"}, {"ref": "rimzakhama/rsna-training-v2", "kernel_id": "39690229"}, {"ref": "rimzakhama/rsna-training-v1", "kernel_id": "39259914"}, {"ref": "karikalstrom/breast-cancer-detection", "kernel_id": "39512593"}, {"ref": "mejdibendkhil/vgg16-vgg19-resnet50-rsna-mammography", "kernel_id": "39585907"}, {"ref": "ludditep/2stage-ensemble-revise-dataset-name", "kernel_id": "39986353"}, {"ref": "nandanigupta1/dicom-png-format", "kernel_id": "39997491"}, {"ref": "derekxue/fork-of-how-to-process-dicom-images-to-pngs", "kernel_id": "40467132"}, {"ref": "derekxue/eda-training-a-fast-ai-model-submission", "kernel_id": "40467170"}, {"ref": "siraj97/meddai-capstone", "kernel_id": "40520633"}, {"ref": "nghihuynh/kaggle-ai-report-medical-imaging-competitions", "kernel_id": "40675396"}, {"ref": "collinsakal/rsna-mammography-eda-pytorch-baseline", "kernel_id": "40349371"}, {"ref": "nandanigupta1/breast-cancer-detection-densenet121", "kernel_id": "40238749"}, {"ref": "madhubalabishnoi/pin-to-original-environment-2023-02-01", "kernel_id": "40589937"}, {"ref": "awsaf49/rsna-atd-cnn-tpu-infer", "kernel_id": "41511547"}, {"ref": "saijunqiu/notebook18c4f34593", "kernel_id": "41916880"}, {"ref": "garimacharan/rsna-dl", "kernel_id": "41260182"}, {"ref": "kermitsquished/rsna-breast-cancer-detection", "kernel_id": "41910857"}, {"ref": "swati2707/notebook9232315c77", "kernel_id": "42471095"}, {"ref": "muhammadmeftahmafazy/kecerdasan-komputasional", "kernel_id": "43486486"}, {"ref": "muhammadmeftahmafazy/kk-extraction", "kernel_id": "43817435"}, {"ref": "ericlays/kecerdasan-komputasional", "kernel_id": "43571810"}, {"ref": "harinigm22ma005/rsna-breast-cancer-detection", "kernel_id": "43084326"}, {"ref": "hoainguyen1114/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "43212651"}, {"ref": "doug5040/1st-place-submission-code", "kernel_id": "44824056"}, {"ref": "mohamedezzai/1stbrast", "kernel_id": "44975433"}, {"ref": "nandanigupta1/cancer-detect-densenet121", "kernel_id": "44598467"}, {"ref": "tlxhuman/fastai-training-resnet50-breast-cancer", "kernel_id": "45158918"}, {"ref": "akibhussain/medical-image-classification", "kernel_id": "45592942"}, {"ref": "muhammadmeftahmafazy/resnet50v2-tensorflow-and-rsna-mammography", "kernel_id": "46905555"}, {"ref": "ericlays/efficientnet-v1-kk", "kernel_id": "46906402"}, {"ref": "foryousensei/rsna-bcd-efficientnet-tf-tpu-1vm-train", "kernel_id": "46792463"}, {"ref": "kiseki0762/baseline", "kernel_id": "46280109"}, {"ref": "projetinnovation1/exploration-des-donn-es", "kernel_id": "46867017"}, {"ref": "projetinnovation1/pre-processsing-normalisation", "kernel_id": "46867055"}, {"ref": "clkmuhammed/rsna-mammography-breast-cancer-tfrecord-decoding", "kernel_id": "47154232"}, {"ref": "paarshvachitaliya/cv-task-3-solutions", "kernel_id": "47656684"}, {"ref": "paarshvachitaliya/cv-task-3", "kernel_id": "47656315"}, {"ref": "tasnimlahmar/bc-ti-ps", "kernel_id": "47236088"}, {"ref": "onsaouyan/ps-2-ror-final", "kernel_id": "47867403"}, {"ref": "onsaouyan/resnet", "kernel_id": "47867530"}, {"ref": "onsaouyan/ps-2-ror-3a35da", "kernel_id": "47852237"}, {"ref": "rahmabrahem/ps-2-ror-cnn-failed", "kernel_id": "47851451"}, {"ref": "rajetjerbi/breast-cancer-detection", "kernel_id": "47145387"}, {"ref": "rajetjerbi/ps-2-ror", "kernel_id": "47247840"}, {"ref": "rajetjerbi/breast-cancer-detection-tf-cnn-train", "kernel_id": "47860446"}, {"ref": "projetinnovation1/data-pre-processing", "kernel_id": "47112008"}, {"ref": "projetinnovation1/ps-rsna-ia", "kernel_id": "47556198"}, {"ref": "holmes0610/rsna-breast-cancer-eda", "kernel_id": "48938068"}, {"ref": "adarsh932/breast-cancer", "kernel_id": "48943441"}, {"ref": "tirathbhathawala/tirathsynapsecvtask3", "kernel_id": "48203333"}, {"ref": "arnavpanicker/cv-task-3", "kernel_id": "48173925"}, {"ref": "nextnlp/resizeyourimage", "kernel_id": "48806815"}, {"ref": "ritikaxg/breast-cancer-detection", "kernel_id": "48916951"}, {"ref": "uoeharrisonwhite/breast-density-class-code-monai", "kernel_id": "49982488"}, {"ref": "vedantkhade/cv-task-3", "kernel_id": "50415440"}, {"ref": "sabvesh/converting-dicom-to-nifti", "kernel_id": "50851584"}, {"ref": "gaming28/roi-generation-and-classification", "kernel_id": "50030185"}, {"ref": "gaming28/my-project", "kernel_id": "50229170"}, {"ref": "ajaett/keras-rsna-breast-cancer-detection", "kernel_id": "50125384"}, {"ref": "urvikatarmal13/project", "kernel_id": "50379812"}, {"ref": "bilaltalhabyk/very-simple-deep-learning-strategy", "kernel_id": "50377222"}, {"ref": "tomooinubushi/train-pytorch-lightning-gpu-tpu-w-b-kfolds", "kernel_id": "51876953"}, {"ref": "vishumaa/training-rsna-bcd-keras-model", "kernel_id": "51875952"}, {"ref": "vishumaa/3-networks-working-latest", "kernel_id": "51883041"}, {"ref": "vishumaa/effecientnetb3-rsna-breast-cancer-detection-93", "kernel_id": "51881596"}, {"ref": "gaming28/projecttest", "kernel_id": "51083376"}, {"ref": "jhoths/trying-with-rsna", "kernel_id": "51927221"}, {"ref": "githmi/breast-cancer-detection-rsna", "kernel_id": "52834494"}, {"ref": "joeatallah/rsna-breast-cancer-detection-cvae-training", "kernel_id": "52756270"}, {"ref": "vizzon/breast-cancer-eda-prediction-with-resnet50k-sav", "kernel_id": "52733294"}, {"ref": "vishumaa/breast-density-classification-using-monai", "kernel_id": "52025947"}, {"ref": "warrenvu/1st-place-submission-code", "kernel_id": "52502007"}, {"ref": "lucylin220/notebookc7ca410ed1", "kernel_id": "52262528"}, {"ref": "sultanssss/rsna-breast-cancer-eda", "kernel_id": "52027229"}, {"ref": "amberkahklen/notebookc7ca410ed1-ensemble", "kernel_id": "53019335"}, {"ref": "parunyu12/parunyu", "kernel_id": "53823018"}, {"ref": "bneayoub/eda-breast-cancer-detection", "kernel_id": "54086565"}, {"ref": "arya20013/original-dataset-training", "kernel_id": "54979758"}, {"ref": "vizzon/model2-vgg16", "kernel_id": "54849275"}, {"ref": "mwarad/vision-transformer-from-scratch-pytorch", "kernel_id": "54124466"}, {"ref": "technikks/spit-minor-project", "kernel_id": "54545970"}, {"ref": "lejuncen/2ndplace-lejun", "kernel_id": "54773195"}, {"ref": "wangsissi/breastcancerdetection", "kernel_id": "55312606"}, {"ref": "salmanabuhuliqah/eda-training-a-fast-ai-model-submission", "kernel_id": "55739172"}, {"ref": "lejuncen/5th-complete-raw-cengmail", "kernel_id": "55400129"}, {"ref": "tianshenresearchhu/3-final-lstm2-file-generation", "kernel_id": "55673217"}, {"ref": "vizzon/vit-3", "kernel_id": "56139147"}, {"ref": "rudranshuranjan/major-project-rsna-breast-cancer", "kernel_id": "56480077"}, {"ref": "vizzon/new-m-cnn", "kernel_id": "57387480"}, {"ref": "sultanssss/notebook9141bc1306", "kernel_id": "57169380"}, {"ref": "eualuchiha/cnn-breast-cancer-detection-from-mri-cr-mmg", "kernel_id": "58597087"}, {"ref": "nguyenhung1207/notebookc466c002c9", "kernel_id": "59890526"}, {"ref": "nguyenhung1207/se-resnext50-full-gpu-decoding", "kernel_id": "60325604"}, {"ref": "bappine/dataset-ddms-breast-cancer-ung-th-dz", "kernel_id": "62771574"}, {"ref": "hduytrng/notebook33545d2c08", "kernel_id": "63518694"}, {"ref": "bappine/eda-train-data-extracted-roi-png", "kernel_id": "63521615"}, {"ref": "bappine/rsna-breast-cancer-eda-pytorch-baseline", "kernel_id": "63368389"}, {"ref": "anumfatimah/pytorch-inceptionv3-density-classification", "kernel_id": "63460993"}, {"ref": "anumfatimah/pytorch-vgg16-density-classification", "kernel_id": "63506192"}, {"ref": "aqsamehfooz/pytorch-densenet121-density-classification", "kernel_id": "63455573"}, {"ref": "aqsamehfooz/mammo-density-classification-densenet121", "kernel_id": "63472333"}, {"ref": "hduytrng/final-pbl-inbreast", "kernel_id": "64256589"}, {"ref": "trivohoangminh/inferen-kl", "kernel_id": "64515857"}, {"ref": "trivohoangminh/1st-place-submission-code", "kernel_id": "64325377"}, {"ref": "melissaandreaciropea/notebook066d743f5d", "kernel_id": "65451154"}, {"ref": "akshatgupta2810/dataset", "kernel_id": "66651050"}, {"ref": "ronanpraful/urooj-project", "kernel_id": "66342946"}, {"ref": "youssefatallahh/rsna-breast-cancer-detection-training", "kernel_id": "66038499"}, {"ref": "gcluzeau/m2bi-gclu", "kernel_id": "66722901"}, {"ref": "ismetsemedov/rsna-screening-mammography-breast-cancer-detection", "kernel_id": "67309598"}, {"ref": "joeatallah/rsna-bcd-tl-submission", "kernel_id": "67430884"}, {"ref": "joeatallah/rsna-breast-cancer-detection-tl-training", "kernel_id": "67358927"}, {"ref": "jadeobrien/subset-of-rsna-cancer-detection-data", "kernel_id": "68030890"}, {"ref": "gallo33henrique/rsna-cnn-breast-cancer", "kernel_id": "68877611"}, {"ref": "bappine/tr-tu-nh-n-t-o", "kernel_id": "68572643"}, {"ref": "rohithpulipaka/breast-cancer-mri-cnn-method-final", "kernel_id": "68098141"}, {"ref": "divyammjainn/synapse-cv-task-3", "kernel_id": "68337271"}, {"ref": "divyammjainn/synapse-cv-task-3-soln", "kernel_id": "68337392"}, {"ref": "chandanesoham/synapse-cv-task-3", "kernel_id": "68904032"}, {"ref": "mihika1805/rsna-breast-cancer-detection", "kernel_id": "68892969"}, {"ref": "anumfatima/rsna-density-classification", "kernel_id": "69484564"}, {"ref": "bappine/ttnt-inbreast-truong", "kernel_id": "69943162"}, {"ref": "vaibhavop/synapse-cv-task-3", "kernel_id": "69166374"}, {"ref": "manaanshshah/synapse-cv-task-3", "kernel_id": "69009996"}, {"ref": "barankaraduman/rsna-breast-cancer-eda", "kernel_id": "69235850"}, {"ref": "zyh1104/040-ttnt-inbreast-truong", "kernel_id": "71691812"}, {"ref": "ibrahimemad11/breast-cancer-mammography", "kernel_id": "71843610"}, {"ref": "nkwamphilip/vision-transformer-from-scratch-pytorch", "kernel_id": "72066400"}, {"ref": "nkwamphilip/1st-place-submission-code", "kernel_id": "72663645"}, {"ref": "mattzhou/rsna-breast-cancer-prediction-eda", "kernel_id": "72126541"}, {"ref": "hekikarthik/breast-cancer-detection-roi-crop", "kernel_id": "72399689"}, {"ref": "debopamchowdhury/rsna-bcd-cnn", "kernel_id": "72964668"}, {"ref": "aakarshit15/cvtask3-new", "kernel_id": "73890916"}, {"ref": "pckpow80/skripsi", "kernel_id": "74320747"}, {"ref": "atleast6charact/eda-originales", "kernel_id": "75876958"}, {"ref": "muhammadahmadjamil/vision-transformer-from-scratch-pytorch", "kernel_id": "76507559"}, {"ref": "lejuncen/3-file-generation-origin-raw-cengmail", "kernel_id": "76763232"}, {"ref": "cenlejun/3-file-generation-origin-raw", "kernel_id": "76639187"}, {"ref": "tianshenresearchhu/5-original-tian-5folds-2026c", "kernel_id": "77659574"}, {"ref": "cenlejun/5-origin-all5folds-hotmail-2026c", "kernel_id": "77658757"}, {"ref": "shadhabasheerahamed/breast-cancer-detection", "kernel_id": "77505123"}, {"ref": "mohamedsaad200/breast-cancer-detection", "kernel_id": "78913253"}, {"ref": "alejandrocantero/breast-density-classification-using-monai", "kernel_id": "78435129"}, {"ref": "aiforwork/gmic-sic-gray", "kernel_id": "79356775"}, {"ref": "abcreroll1/breast-density-classification-using-monai", "kernel_id": "79416960"}, {"ref": "oliwiamarzec/rsna-mammography-breast-cancer-eda", "kernel_id": "79581562"}, {"ref": "oliwiamarzec/mammographic-screening-dcm", "kernel_id": "79431425"}, {"ref": "ikeharuta1712/breast-cancer-thesis", "kernel_id": "79038049"}, {"ref": "kacperkrawczyk/rsna-exploring-the-potential-of-machine-learning", "kernel_id": "80932586"}, {"ref": "manaanshshah/rsna-project", "kernel_id": "80678594"}, {"ref": "nguyentienanh121121/retrain-yolo11-rsna", "kernel_id": "80089853"}, {"ref": "nazilasaeednejad/mamography-submission", "kernel_id": "81321267"}, {"ref": "maryemmahmoud/myfoo1", "kernel_id": "81726526"}, {"ref": "ghadarabea/cnn-breast-cancer-efficientnetb5", "kernel_id": "81776707"}, {"ref": "ghadarabea/cnn-breast-cancer", "kernel_id": "81752109"}, {"ref": "ahmedeid0/breast-cancer-detection", "kernel_id": "81749998"}, {"ref": "fatmamahmoud81/breast-cancer-by-efficientnetb5", "kernel_id": "81706072"}, {"ref": "sabreennasser/breast-cancer-detection", "kernel_id": "81599441"}, {"ref": "yiwangyay/practicev1", "kernel_id": "82401875"}, {"ref": "yiwangyay/notebook1b25b07e1d", "kernel_id": "82939475"}, {"ref": "hadeer2025/notebookfc90f4590c", "kernel_id": "82012017"}, {"ref": "ikeharuta1712/roi-extraction", "kernel_id": "82479008"}, {"ref": "vanessnakanaorit/kelompok-g-uas-progress-1-1", "kernel_id": "83274435"}, {"ref": "youseff1234/main-cancer-detection-skl", "kernel_id": "83588604"}, {"ref": "mohamedalabdelal/fastai-training-resnet50-breast-cancer-0d3781", "kernel_id": "83176529"}, {"ref": "ikeharuta1712/dicomtojpg2000", "kernel_id": "83033789"}, {"ref": "diahafias/vision-transformer-from-scratch-pytorch", "kernel_id": "84448669"}, {"ref": "leoesiee/breast-cancer-eda-prediction-with-resnet50", "kernel_id": "84969938"}, {"ref": "sana15/rsna-cnn-breast-cancer", "kernel_id": "85686001"}, {"ref": "anshbhardwaj1222222/breast-cancer-prediction-with-resnet50", "kernel_id": "85719795"}, {"ref": "honeybatcher1712/train-effnet-v3", "kernel_id": "85350933"}, {"ref": "daltongabrielomondi/2ndplacesolutionsingleviewinfer", "kernel_id": "87599969"}, {"ref": "jebalimaram/breast-cancer-detection", "kernel_id": "87617357"}, {"ref": "edwardarani/resnet50v2-tumor", "kernel_id": "87908248"}, {"ref": "ikeharuta1712/train-effnet-v4", "kernel_id": "88629236"}, {"ref": "austinskyhenlotter/breast-cancer-detection", "kernel_id": "88823434"}, {"ref": "tommyngx/rsna-process-biopsy-confirmed", "kernel_id": "89524282"}, {"ref": "nguyentienanh121121/datadowload", "kernel_id": "93308953"}, {"ref": "izumi1210/rsna-u-net", "kernel_id": "94046671"}, {"ref": "hthevinh/rsna-model", "kernel_id": "95512336"}, {"ref": "trinhkhanhduy2902/notebook5953f4dccb", "kernel_id": "96247575"}, {"ref": "izumi1210/rsna-model", "kernel_id": "96258726"}, {"ref": "omniamohammedkamal2/final", "kernel_id": "102896364"}, {"ref": "omniamohammedkamal2/resnet-18-final-notebook", "kernel_id": "102902632"}, {"ref": "jrmymilan/notebook-4", "kernel_id": "103783861"}, {"ref": "jrmymilan/notebook-2-pr-traitement-dicom-png-carr", "kernel_id": "103759530"}, {"ref": "jrmymilan/01-rsna-eda-mammography", "kernel_id": "103750785"}, {"ref": "tolgatasci/fast-ai-starter-pack-train-inference", "kernel_id": "104675995"}, {"ref": "chihebslimani/projet-ai", "kernel_id": "105905526"}, {"ref": "sakncan/train-model", "kernel_id": "105315912"}, {"ref": "chandanesoham/synapse-task-3-cv", "kernel_id": "106167223"}, {"ref": "jrmymilan/mammo01", "kernel_id": "106054677"}, {"ref": "jrmymilan/mammo00", "kernel_id": "106051952"}, {"ref": "khadidjadn/multiv-brcr", "kernel_id": "107965509"}, {"ref": "youssefgazdar/notebook641bda0dab", "kernel_id": "107117308"}, {"ref": "shaimaakamel/cmmd-tst", "kernel_id": "109981050"}, {"ref": "rajpanchali/vision-transformer-breast-cancer-detection", "kernel_id": "109167248"}, {"ref": "hananabhan/preprocess02-breast-cancer", "kernel_id": "116646330"}, {"ref": "hananabhan/breast-cancer-detection-efficientnetv2-s", "kernel_id": "116859442"}, {"ref": "zumermalik/rsna-screening-mammography-deep-malignancy-detect", "kernel_id": "116102395"}, {"ref": "hanaraafatt/gathered-and-final-7", "kernel_id": "117486773"}, {"ref": "abdelazizhamouda324/ai-project-cancer-detection", "kernel_id": "118480134"}, {"ref": "farhaadsotoodeh/rsna-test", "kernel_id": "118259327"}, {"ref": "s1a2r3a4/sarah-shehadeh", "kernel_id": "121030369"}, {"ref": "s1a2r3a4/sarah-m-f-shehadeh", "kernel_id": "121769340"}, {"ref": "aelmuazledinalla/main-cancer-detection-skl", "kernel_id": "135571627"}]}
{"competition_id": "39283", "kernels": []}
{"competition_id": "39353", "kernels": []}
{"competition_id": "39358", "kernels": []}
{"competition_id": "39364", "kernels": []}
{"competition_id": "39391", "kernels": []}
{"competition_id": "39393", "kernels": [{"ref": "sa4444/electricity-consumption-prediction", "kernel_id": "30975574"}, {"ref": "fillipmolodtsov/avg-ensemble-dtr", "kernel_id": "32468878"}, {"ref": "martinkaru/martin-karu-second-try", "kernel_id": "33897815"}, {"ref": "martinkaru/martin-karu-svr-late-submission", "kernel_id": "33664333"}, {"ref": "wordcards/2nd-place-solution", "kernel_id": "33148914"}, {"ref": "jwwangars/quadric-regression", "kernel_id": "33165416"}, {"ref": "jeanbaptistescellier/winner-of-the-competition", "kernel_id": "33209849"}, {"ref": "theober17/university-tartu-project-timeseries-xgboost-kfoldv", "kernel_id": "33224763"}, {"ref": "mario61/notebooka3b4809d3e", "kernel_id": "33661249"}]}
{"competition_id": "39405", "kernels": []}
{"competition_id": "39419", "kernels": [{"ref": "donjoeml/critical-illness-predictor", "kernel_id": "32534171"}]}
{"competition_id": "39441", "kernels": []}
{"competition_id": "39454", "kernels": [{"ref": "antoineguillot/tp1-data-exploration", "kernel_id": "30828462"}, {"ref": "antoineguillot/tp3-deep-learning-models", "kernel_id": "30902543"}, {"ref": "antoineguillot/tp-2-machine-learning-models", "kernel_id": "31469514"}, {"ref": "levinton/tp-2-machine-learning-models-8e4870", "kernel_id": "32198142"}, {"ref": "denchai/eeg-eda-taist-intensive-2026-student", "kernel_id": "128144274"}]}
{"competition_id": "39455", "kernels": []}
{"competition_id": "39460", "kernels": [{"ref": "declansaw/xgbclassifying-with-ohe-and-si", "kernel_id": "32638483"}, {"ref": "xjtlu1825042/submission", "kernel_id": "32869739"}, {"ref": "xjtlu1612568/notebookadcb5f5ae8", "kernel_id": "33168905"}, {"ref": "xjtlu1930209/ibmattritionmodels", "kernel_id": "33520021"}]}
{"competition_id": "39462", "kernels": [{"ref": "michau96/kaggle-s-popularity-in-your-country", "kernel_id": "21669704"}, {"ref": "duyguatasever/kaggle-survey-turkey-vs-world", "kernel_id": "21318091"}, {"ref": "carlmcbrideellis/how-much-do-people-on-kaggle-earn-by-country-2022", "kernel_id": "21417883"}, {"ref": "kalilurrahman/2022-kaggle-mlds-survey-a-correlation-analysis", "kernel_id": "22962236"}, {"ref": "holfyuen/kaggle-survey-2017-2022", "kernel_id": "26531102"}, {"ref": "paultimothymooney/kaggle-survey-2022-job-title-data-scientist", "kernel_id": "30964786"}, {"ref": "paultimothymooney/kaggle-survey-2022-all-results", "kernel_id": "30966266"}, {"ref": "paultimothymooney/kaggle-survey-2022-data-scientists-in-the-usa", "kernel_id": "30987895"}, {"ref": "chazzer/plotly-tutorial-be-a-visualization-grandmaster", "kernel_id": "30266003"}, {"ref": "steubk/kaggle-survey-2022-historical-snapshot", "kernel_id": "31130751"}, {"ref": "narsil/data-science-salary-benchmarks", "kernel_id": "31864192"}, {"ref": "robikscube/2022-kaggle-survey-results-twitch-stream", "kernel_id": "31676096"}, {"ref": "shravankumar147/kaggle-survey-2022-eda", "kernel_id": "31136085"}, {"ref": "eraikako/data-science-and-mlops-landscape-in-industry", "kernel_id": "31707325"}, {"ref": "ahmedomareissa/dealing-with-mutiple-options-questions", "kernel_id": "31310126"}, {"ref": "ahmedomareissa/ds-students-vs-professional-tools-and-platforms", "kernel_id": "31551122"}, {"ref": "emphymachine/numpy-pandas-tutorial", "kernel_id": "31913923"}, {"ref": "diwash1/kaggle-survey-analysis-report", "kernel_id": "31567974"}, {"ref": "rtatman/livecoding-10-18-2022", "kernel_id": "31427306"}, {"ref": "paultimothymooney/kaggle-survey-2022-researchers-only", "kernel_id": "31505693"}, {"ref": "paultimothymooney/kaggle-survey-2022-researchers-from-usa-only", "kernel_id": "31505951"}, {"ref": "docxian/usage-of-no-code-low-code-tools", "kernel_id": "31103049"}, {"ref": "spitfire2nd/the-state-of-low-no-code-in-data", "kernel_id": "31883137"}, {"ref": "holfyuen/fun-facts-in-kaggle-2022-survey", "kernel_id": "31979913"}, {"ref": "vijayendrad/kaggle-ds-survey-2022", "kernel_id": "31558051"}, {"ref": "tawejssh/what-kaggle-survey-data-tells-us", "kernel_id": "31871247"}, {"ref": "nasere/kaggle-performance-of-african-regions", "kernel_id": "31536371"}, {"ref": "nippani/kaggle-survey-2022-eda-of-all-44-questions", "kernel_id": "31927164"}, {"ref": "belsonraja/2022-kaggle-ml-and-data-science-survey-analysis", "kernel_id": "31515510"}, {"ref": "utm529fg/eng-kaggle-survey-2022-eda", "kernel_id": "31225978"}, {"ref": "michau96/15-factors-for-data-science-in-your-country", "kernel_id": "31179592"}, {"ref": "bcantt/kaggle-survey-data", "kernel_id": "31659248"}, {"ref": "dellalkhaled/storytelling-2022-competition", "kernel_id": "31466562"}, {"ref": "tianmin/experts-climbers-and-explorers-in-the-ds-world", "kernel_id": "31105748"}, {"ref": "tianmin/academia-or-industry-40-tips-for-ds-students", "kernel_id": "31908088"}, {"ref": "siddhantsadangi/kaggle-2022-any-country-vs-the-world", "kernel_id": "31110103"}, {"ref": "siddhantsadangi/usage-of-experiment-management-tools-2020-2022", "kernel_id": "31130539"}, {"ref": "tomy4reel/data-science-toolset", "kernel_id": "31777790"}, {"ref": "mpwolke/python-libraries-kaggle-notebooks", "kernel_id": "31745784"}, {"ref": "mpwolke/i-ll-go-where-your-algo-rhythm-takes-me", "kernel_id": "31104551"}, {"ref": "dmoneyballer/usa-higher-education-pay-difference-in-data", "kernel_id": "31910007"}, {"ref": "alejopaullier/make-your-notebooks-look-better", "kernel_id": "31140130"}, {"ref": "alejopaullier/it-s-kaggle-world-morty-student-vs-non-student", "kernel_id": "31256309"}, {"ref": "susant4learning/kaggle-survey-2022-eda-results-all-in-one", "kernel_id": "31289491"}, {"ref": "pavan9065/let-s-xplore-d-kaggle-survey-data", "kernel_id": "31722180"}, {"ref": "pollicio/exploracion-de-datos-chile", "kernel_id": "31336789"}, {"ref": "mohamedmakram/notebook0613bc412d", "kernel_id": "31930476"}, {"ref": "zahrahanifah/what-s-current-trend-among-data-scientist", "kernel_id": "31638834"}, {"ref": "zahrahanifah/participants-profile-kaggle-survey-2022", "kernel_id": "31818538"}, {"ref": "angelicalo/shotml2", "kernel_id": "31859144"}, {"ref": "loredanagheorghe/zoom-on-gender-in-the-kaggle-world", "kernel_id": "31831994"}, {"ref": "carlmcbrideellis/kaggle-survey-2022-algorithms-ml-vs-dl-people", "kernel_id": "31154846"}, {"ref": "tensorchoko/2022-kaggle-machine-eda", "kernel_id": "31124855"}, {"ref": "aditidutta/learning-more-about-the-kaggle-community", "kernel_id": "31425085"}, {"ref": "samuelgyamfi/how-are-people-getting-into-kaggle", "kernel_id": "31650396"}, {"ref": "kalilurrahman/kaggle-2022-mlds-analysis-summary", "kernel_id": "31486613"}, {"ref": "williecosta/2022-kaggle-ml-ds-survey", "kernel_id": "31408122"}, {"ref": "hamzaboulahia/2022-kaggle-survey-a-closer-look-on-mena", "kernel_id": "31391734"}, {"ref": "shivijaiswal/kaggle-survey", "kernel_id": "31301339"}, {"ref": "chazzer/starter-eda-all-questions-kaggle-survey-2022", "kernel_id": "31100156"}, {"ref": "muhammadammarjamshed/survey-analysis-by-aj", "kernel_id": "31107798"}, {"ref": "serkanoral/r-eda-platforms", "kernel_id": "31540358"}, {"ref": "tracyporter/eda-kaggle-2022-survey", "kernel_id": "31120434"}, {"ref": "tracyporter/eda-kaggle-2022-survey-filter", "kernel_id": "31145854"}, {"ref": "vinitshah0110/data-science-survey-insights-yoy-trend", "kernel_id": "31320918"}, {"ref": "ahmedhammad01/data-science-the-cloud-2020-2022", "kernel_id": "31120164"}, {"ref": "ahmedhammad01/best-platforms-for-your-ds-career-educat-level", "kernel_id": "31104673"}, {"ref": "danielanewton/notebook-uncertainty", "kernel_id": "31239409"}, {"ref": "dhavalvachheta/story-telling-of-kaggle-survey-2022-eda-plotly", "kernel_id": "31760431"}, {"ref": "muralidharprabhu/kaggle-2022-survey-eda", "kernel_id": "31598279"}, {"ref": "sakshatrao/kaggle-survey-supporting-eda", "kernel_id": "31861907"}, {"ref": "telvinmw/2022-kaggle-machine-learning-data-science-survey", "kernel_id": "31162658"}, {"ref": "shubhamwankar/kaggle-survey-2022", "kernel_id": "31592636"}, {"ref": "loycelorenzo/kaggle-survey-2022-adoption-in-manufacturing", "kernel_id": "31620474"}, {"ref": "gavrildsouza/ml-ai-survey-2022", "kernel_id": "31120039"}, {"ref": "mohamedbenmaiza/the-evolution-of-a-data-scientist", "kernel_id": "31573443"}, {"ref": "lordxerxes/kagglers-compensation-prediction", "kernel_id": "31465177"}, {"ref": "xxxxyyyy80008/education-and-age-by-country-2018-and-2022", "kernel_id": "31466436"}, {"ref": "xxxxyyyy80008/covid-19-and-gender-equality", "kernel_id": "31290713"}, {"ref": "xxxxyyyy80008/visualize-each-question", "kernel_id": "31123869"}, {"ref": "xxxxyyyy80008/2022-visualization", "kernel_id": "31101929"}, {"ref": "xxxxyyyy80008/country-clustering", "kernel_id": "31609614"}, {"ref": "syedasimalishah/eda-q1-q30", "kernel_id": "31268948"}, {"ref": "syedasimalishah/scipy-tutorial", "kernel_id": "31216729"}, {"ref": "syedasimalishah/scipy-summed-up", "kernel_id": "31207433"}, {"ref": "syedasimalishah/eda-mcqs-only", "kernel_id": "31149104"}, {"ref": "dshassan/kaggle-survey-22-a-z-eda", "kernel_id": "31923616"}, {"ref": "dshassan/kaggle-survey-2022-pakistan", "kernel_id": "31719216"}, {"ref": "prievaragabriella/kaggle-survey-2022-simple-data-visualization", "kernel_id": "31941606"}, {"ref": "zugravubianca/kaggle-survey-2022-tell-a-story-through-data", "kernel_id": "31593956"}, {"ref": "sandhyakrishnan02/what-changed-from-2021-to-2022-in-ml-and-ds", "kernel_id": "31825089"}, {"ref": "francescocolicino/once-upon-a-time-a-kaggle-survey", "kernel_id": "31358731"}, {"ref": "anako2020/kaggle-survey-2022-survey-pulse-check", "kernel_id": "31436659"}, {"ref": "oleksandrarsentiev/kaggle-2022-eda-of-data-professionals-in-europe", "kernel_id": "31780009"}, {"ref": "dhirajkumar612/popular-languages-of-data-science", "kernel_id": "31524856"}, {"ref": "dhirajkumar612/most-common-nationalities-on-kaggle-2017-2022", "kernel_id": "31539481"}, {"ref": "dhirajkumar612/kaggle-survey-2022", "kernel_id": "31532221"}, {"ref": "renokan/compare-column-names-answers-in-2022-2018", "kernel_id": "31726108"}, {"ref": "chemistahmedkamel/explore-kaggle-survey-2022-visualization", "kernel_id": "31604657"}, {"ref": "satoshiss/findings-from-kaggle-survey-2022", "kernel_id": "31129352"}, {"ref": "azisanw19/trends-ml-ds-2019-to-2022", "kernel_id": "31830799"}, {"ref": "amarnathaditya/eda-kaggle-2022", "kernel_id": "31507403"}, {"ref": "amarnathaditya/kaggle-survey-eda-2022", "kernel_id": "31247905"}, {"ref": "leoth9/survey2022-basic-strategy-with-pandas-and-seaborn", "kernel_id": "31303359"}, {"ref": "priyharshgangwar/countries-having-highest-participation-gender-wis", "kernel_id": "31103959"}, {"ref": "priyharshgangwar/eda-survey-duration-vs-age-gender-country", "kernel_id": "31104398"}, {"ref": "himanshunakrani/kaggle-survey-2022-eda", "kernel_id": "31103443"}, {"ref": "satyaprakashshukl/survey-eda", "kernel_id": "31426170"}, {"ref": "adas00/evolution-2022", "kernel_id": "31560888"}, {"ref": "mohdmuttalib/plotly-2022-kaggle-ml-ds-survey-analysis", "kernel_id": "31856835"}, {"ref": "daidoyosuke/study-for-kaggle", "kernel_id": "31824788"}, {"ref": "faizanhussain03/student-vs-non-student", "kernel_id": "31284231"}, {"ref": "moemenmamdouh/junior-ml-students", "kernel_id": "31697215"}, {"ref": "prasadposture121/kaggle-s-ml-and-ds-survey-2022", "kernel_id": "31241765"}, {"ref": "haseebahajikhan/who-are-the-senior-kagglers", "kernel_id": "31970092"}, {"ref": "lisajames/kaggle-survey-2022-my-story", "kernel_id": "31501407"}, {"ref": "franklycypher/the-nigerian-data-ecosystem-uprising-of-heroes", "kernel_id": "31552485"}, {"ref": "akashhaswani/eda-of-kaggle-data-science-community-survey-2k22", "kernel_id": "31871316"}, {"ref": "madhurpant/beautiful-kaggle-2022-analysis", "kernel_id": "31114876"}, {"ref": "dineshspatil/2022-kaggle-ml-data-science-survey-analysis", "kernel_id": "31316864"}, {"ref": "hadibakhsh/kaggle-survey-2022-eda", "kernel_id": "31132840"}, {"ref": "usamabalochhh/kaggle-survey-2022-eda", "kernel_id": "31528075"}, {"ref": "sarangunasekaran/eda-analysis-skm-2022", "kernel_id": "31568378"}, {"ref": "abderrahimadrabi/kaggle-survey-2k22-eda", "kernel_id": "31232954"}, {"ref": "mattop/procrastinators-procrastinate-ml-ds-survey", "kernel_id": "31102616"}, {"ref": "rahulbahuguna01/kaggle-survey", "kernel_id": "31111052"}, {"ref": "fethullahceviz/2022-kaggle-survey-data", "kernel_id": "31191945"}, {"ref": "ahmedmussaa/follow-in-someone-s-footsteps", "kernel_id": "31819435"}, {"ref": "tompaulat/survey-data-follow-the-money", "kernel_id": "31629745"}, {"ref": "ariyan523/india-kaggle-2022-sur-dat-salary-prediction", "kernel_id": "31461471"}, {"ref": "markannibrastama/kaggle-survey-2022-analysis", "kernel_id": "31769356"}, {"ref": "walterkim/2022-kaggle-survey-analysis", "kernel_id": "31180284"}, {"ref": "akshatarpatil/kaggle-2022-survey-by-akshata", "kernel_id": "31266192"}, {"ref": "ifrainr/kaggle-survey", "kernel_id": "31520818"}, {"ref": "niswarth/kaggle-survey-2022-niswarth", "kernel_id": "31756079"}, {"ref": "mvschamanth/let-s-prepare-the-data-for-detailed-analysis", "kernel_id": "31767698"}, {"ref": "mvschamanth/decode-the-trend-of-ml-and-ds-survey-in-2022", "kernel_id": "31805190"}, {"ref": "alexryzhkov/kaggle-survey-2022-kernel-stat", "kernel_id": "32255959"}, {"ref": "mechallenge/indians-is-moving-to-the-usa-worth-it", "kernel_id": "32723586"}, {"ref": "evgeniako/ml-researchers-among-us", "kernel_id": "32742235"}, {"ref": "shrutisaxena/kaggle-2022-ml-ds-survey-eda", "kernel_id": "32624125"}, {"ref": "hexenmeiser/do-advanced-degrees-make-a-difference-in-the-u-s", "kernel_id": "32072715"}, {"ref": "mbonkaggle/kaggle-survey-2022", "kernel_id": "32574422"}, {"ref": "narsil/data-professionals-compensation-prediction-tool", "kernel_id": "32423566"}, {"ref": "farazrahman/mind-the-gap-ml-in-research-application", "kernel_id": "32544998"}, {"ref": "imuhammad/the-fellowship-of-kaggle", "kernel_id": "32143133"}, {"ref": "raziel2646/finding-my-way-towards-a-great-career-in-data", "kernel_id": "32773430"}, {"ref": "aliphya/insightful-eda-to-understand-the-kaggle-ds-survey", "kernel_id": "32307063"}, {"ref": "diwash1/kaggle-survey-2022-technology-job-role", "kernel_id": "32429869"}, {"ref": "niyamatalmass/how-experience-with-ml-methods-affects-kagglers", "kernel_id": "32752887"}, {"ref": "sausha/nonbinary-back-again-spread-of-data-science", "kernel_id": "32620678"}, {"ref": "nitishabharathi/the-need-for-mlops", "kernel_id": "32051086"}, {"ref": "aragorn44/global-trends-in-ds-ml", "kernel_id": "32670722"}, {"ref": "sonmou/which-one-in-trend-statistician-or-data-engineer", "kernel_id": "32746001"}, {"ref": "zgeek3/overview-of-four-data-roles-in-the-united-states", "kernel_id": "32773288"}, {"ref": "jacoporepossi/follow-the-flow-surveys-with-alluvial-plots", "kernel_id": "32776097"}, {"ref": "bhanuchanderu/things-you-should-know-aout-2022-kaggle-ml-survey", "kernel_id": "32382541"}, {"ref": "ravijoe/its-not-much-but-honest-work", "kernel_id": "32538565"}, {"ref": "goldens/women-in-kaggle-by-age-range", "kernel_id": "32678148"}, {"ref": "agnesa/day-in-the-life-of-a-data-scientist", "kernel_id": "32688299"}, {"ref": "haakakak/a-brief-history-of-kagglers-through-time", "kernel_id": "32694617"}, {"ref": "mojopriest/who-are-the-students-on-kaggle-2022-survey-data", "kernel_id": "32191543"}, {"ref": "rehanbaig/2022-kaggle-machine-learning-data-science-eda", "kernel_id": "32776096"}, {"ref": "cuddlycuddles/kaggle-survey-notebook", "kernel_id": "32777399"}, {"ref": "theobissa12/surveyperception-in-data-sciences-machinelearning", "kernel_id": "32557693"}, {"ref": "pranaii/2022-kaggle-data-science-machine-learning-survey", "kernel_id": "32559232"}, {"ref": "jboss7/2022-kml-ds-survey-usability-of-kaggle-s-product", "kernel_id": "32678844"}, {"ref": "vegabryam/latin-america-in-computer-science", "kernel_id": "32946925"}, {"ref": "zarahshibli/does-company-size-matter", "kernel_id": "32603358"}, {"ref": "juanyin/what-is-hidden-in-the-survey", "kernel_id": "32184944"}, {"ref": "rosspmcdonald/classifying-users-and-learning-from-experts", "kernel_id": "32292193"}, {"ref": "oluwafemi80/kaggle-survey-analysis", "kernel_id": "32408553"}, {"ref": "mmakiuchi/how-is-japan-doing", "kernel_id": "32559332"}, {"ref": "cuysaurus/ks2022-free-and-repressed-countries", "kernel_id": "32686673"}, {"ref": "zahrahanifah/2022-ds-implementation-find-the-gap", "kernel_id": "32704349"}, {"ref": "newbieag068/eda-kaggle-data-science-survey", "kernel_id": "32501473"}, {"ref": "christopherdzuwa/ai-ml-accelelators", "kernel_id": "32777157"}, {"ref": "saraswatitiwari/2022-kaggle-data-science-and-ml-survey", "kernel_id": "32093730"}, {"ref": "gregoryklevans/languages-used-by-early-career-data-scientists", "kernel_id": "32728883"}, {"ref": "abdul1232/less-women-in-stem-if-yes-why-so", "kernel_id": "32750657"}, {"ref": "petervidos/animated-charts-for-the-2022-kaggle-survey", "kernel_id": "32649912"}, {"ref": "bagasadiwaskita/kaggle-survey-2022-ds-ml-in-indonesia", "kernel_id": "32685675"}, {"ref": "wouldyoujustfocus/ladies-lean-in", "kernel_id": "32419117"}, {"ref": "wouldyoujustfocus/l-king-for-a-ds-job", "kernel_id": "32087807"}, {"ref": "tayoaratunde/automl-adoption-2020-2022", "kernel_id": "32408588"}, {"ref": "katevanpelt/what-influences-the-use-of-ml-in-production", "kernel_id": "32526647"}, {"ref": "federiconiki/who-are-the-ladies-and-gentlemen-in-2022", "kernel_id": "32084208"}, {"ref": "bhavinmoriya/statistical-testing-for-dummies", "kernel_id": "32651212"}, {"ref": "sc6354/women-entering-and-women-in-the-ds-field-2022", "kernel_id": "32340628"}, {"ref": "vikrantrajput/kaggle-survey-analysis-2022", "kernel_id": "32384434"}, {"ref": "igirijesh/2022-ds-survey-a-comprehensive-tour", "kernel_id": "32773618"}, {"ref": "chamagi/simple-data-analysis-on-the-2022-kaggle-survey", "kernel_id": "32052586"}, {"ref": "sakshatrao/monop-olympics", "kernel_id": "32277055"}, {"ref": "afrinahossain/computer-vision-in-2022-what-s-the-current-state", "kernel_id": "32501812"}, {"ref": "toludoyinshopein/prerequisite-to-becoming-a-data-scientist", "kernel_id": "32766166"}, {"ref": "mohamedbenmaiza/utility-notebook-for-kaggle-competition-2022", "kernel_id": "32774279"}, {"ref": "mohamedwasheem/kaggle-survey-eda-respondent-demographics", "kernel_id": "32751348"}, {"ref": "nghihuynh/kaggle-2022-cloud-racing-ethical-ai-rising", "kernel_id": "32412156"}, {"ref": "nikitakaymonov/kaggle-goes-international-how-countries-differ", "kernel_id": "32806325"}, {"ref": "ravishah1/around-the-field-of-data", "kernel_id": "32483252"}, {"ref": "alexanderstefanov/kaggle-bulgaria-a-very-sad-notebook", "kernel_id": "32395427"}, {"ref": "octanehounsou/data-scientist-with-josh-wills", "kernel_id": "32760283"}, {"ref": "ezzaddeenmofarreh/top-earners-in-machine-learning-data-science", "kernel_id": "32643550"}, {"ref": "syedabdulhaseebds/kaggle-survey-discovering-patterns-in-data", "kernel_id": "32494055"}, {"ref": "toysperfect/the-fourth-industrial-revolution-is-here", "kernel_id": "32742881"}, {"ref": "jovikoh/kaggle-2022-survey-eda", "kernel_id": "32738340"}, {"ref": "pranav941/trail-through-law-of-the-jungle", "kernel_id": "32306491"}, {"ref": "pranav941/kaggle-survey-make-your-data-analysis-a-breeze", "kernel_id": "32903434"}, {"ref": "mahmoodmohajer/kaggle-survey-2022-full-analysis", "kernel_id": "32757508"}, {"ref": "dhirajkumar612/kaggle-survey-2022-data-analysis", "kernel_id": "32382689"}, {"ref": "renokan/compare-raw-clean-data-answers-in-2022-2018", "kernel_id": "32193382"}, {"ref": "renokan/eda-2022-2018-country-name-years-analysis", "kernel_id": "32077669"}, {"ref": "renokan/what-happened-in-industries-2022-2018", "kernel_id": "32273790"}, {"ref": "renokan/age-gender-education-in-2022-2018-ml-ds-survey", "kernel_id": "32610069"}, {"ref": "adeayosotayo/data-science-in-the-uk", "kernel_id": "32240276"}, {"ref": "dama0007/is-data-scientist-worth-to-pursue", "kernel_id": "32709442"}, {"ref": "rahmanbhuiyan/2022-kaggle-ds-ml-survey", "kernel_id": "32767873"}, {"ref": "milderielle/data-science-tools-diversity-scoring-analysis", "kernel_id": "32292497"}, {"ref": "vinciusoviedo/being-a-data-professional-without-formal-education", "kernel_id": "32578740"}, {"ref": "m1y7k8/kaggle-survey-2022-2021", "kernel_id": "32090771"}, {"ref": "binhnam2907/kaggle-survey-2022-big-visualization", "kernel_id": "32418652"}, {"ref": "firiberhane/what-industries-hiring-data-professionals-need", "kernel_id": "32661447"}, {"ref": "umeshsugara/tag-team-analysis", "kernel_id": "32791838"}, {"ref": "satyaprakashshukl/kaggle-survey-analysis", "kernel_id": "32290917"}, {"ref": "zalism/kaggle-survey", "kernel_id": "32500983"}, {"ref": "deepakvats052/kaggle-survival-data", "kernel_id": "32559469"}, {"ref": "flatfoot/a-summary-of-data-science-world", "kernel_id": "32526290"}, {"ref": "adenrajput/is-data-science-crowded-by-young-adults", "kernel_id": "32760128"}, {"ref": "varunjain123/simple-eda", "kernel_id": "32549922"}, {"ref": "dsshrashetty/kagglesurvey2022dataanalysis", "kernel_id": "32751501"}, {"ref": "mahalakshmithimmappa/transition-and-myths-data-science-job-role", "kernel_id": "32773850"}, {"ref": "mahalakshmithimmappa/myth-and-transition-in-data-scientist-job-role", "kernel_id": "32776894"}, {"ref": "cjeanpierre/datum-sapiens", "kernel_id": "32293571"}, {"ref": "ziadibbini/education-in-data-science", "kernel_id": "32791677"}, {"ref": "jubei7/meet-the-holy-trinity-data-sci-ml-in-2022", "kernel_id": "32900556"}, {"ref": "jubei7/ds-and-ml-in-2022-an-intersectional-analysis", "kernel_id": "32774674"}, {"ref": "promiseuzoagulu/kagglers-data-visualization-survey-data-2022", "kernel_id": "32088506"}, {"ref": "taqihaider17/un-goals-a-call-to-action", "kernel_id": "32744427"}, {"ref": "salomelomsadze/kaggle-survey-eda-by-plotly-pandas", "kernel_id": "32774282"}, {"ref": "reneitu/mykagglestory", "kernel_id": "32768231"}, {"ref": "summerakousar/alteration-in-technology-and-job-role-in-2022", "kernel_id": "32530998"}, {"ref": "madhurpant/india-on-the-rise", "kernel_id": "32644599"}, {"ref": "pabangiri/kaggle-machine-learning-survey", "kernel_id": "32708933"}, {"ref": "buharishehu/2022-kaggle-machine-learning-data-science-survey", "kernel_id": "32734178"}, {"ref": "shilongzhuang/statistical-testing-guide-for-beginners", "kernel_id": "32617182"}, {"ref": "vaidehinaik11/kaggleml-survey-visualization", "kernel_id": "32721350"}, {"ref": "abomayeeniatorudabo/kaggle-survey-2022", "kernel_id": "32771435"}, {"ref": "greyisbetter/data-analysis-of-the-data-analyst", "kernel_id": "32613256"}, {"ref": "mawins/explore-the-kaggle-survey-2022-data", "kernel_id": "32580421"}, {"ref": "rohnsha0/eda-kaggle-survey", "kernel_id": "32724241"}, {"ref": "maheshekula/kaggle-survey-2022", "kernel_id": "32677524"}, {"ref": "maheshekula/kaggle-survey-2022-comparing-with-2021-2022", "kernel_id": "32673011"}, {"ref": "maheshekula/kaggle-survey-2022-feature-relationship-analysis", "kernel_id": "32774337"}, {"ref": "maheshekula/kaggle-survey-2022-on-ml-and-ds-story", "kernel_id": "32773680"}, {"ref": "ramakrushnamohapatra/kaggle-survey-analysis-2022-eda", "kernel_id": "32674768"}, {"ref": "toddgardiner/academic-achievement-explain-salaries", "kernel_id": "32739020"}, {"ref": "xuhefangyuan/2022kaggle-20-22-globle-servey", "kernel_id": "32686083"}, {"ref": "asksawant/macro-analysis-of-kaggle-survey-2022-using-heatmap", "kernel_id": "32755254"}, {"ref": "priyanshuprajapatis/the-state-of-data-science-from-2017-2021", "kernel_id": "32743234"}, {"ref": "mr0106/kaggle-survey", "kernel_id": "32373097"}, {"ref": "abdulraheem625/your-desired-career-with-business-analytics", "kernel_id": "32740658"}, {"ref": "al3rabsword/is-it-worth", "kernel_id": "32633581"}, {"ref": "astrovladik/how-to-win-this-competition", "kernel_id": "32403215"}, {"ref": "danfu42/ai-in-2022-domination", "kernel_id": "32297343"}, {"ref": "chalieliang/how-to-get-well-paid-as-a-data-practitioner", "kernel_id": "32498174"}, {"ref": "yshangareev/kaggle-survey-2022vs2021", "kernel_id": "32415247"}, {"ref": "terryyue/ai-industry-report-based-on-kaggle-2022", "kernel_id": "32695581"}, {"ref": "liangbaoml/data-science-in-developing-and-developed-countries", "kernel_id": "32763185"}, {"ref": "bhagyachengta/survey-comp-data", "kernel_id": "32089143"}, {"ref": "darshikamgowda/survey2022", "kernel_id": "32115532"}, {"ref": "meetjoshi6897/kaggle-survey-2022-by-meet-anuj", "kernel_id": "32733464"}, {"ref": "meghadjain/experienced-coders-insights", "kernel_id": "32776729"}, {"ref": "havikhurana/kaggle-machine-learning-survey", "kernel_id": "32336344"}, {"ref": "aendersonsouza/story-telling", "kernel_id": "32090032"}, {"ref": "linaguxy/developed-and-developing-countries-svm", "kernel_id": "32380690"}, {"ref": "umesalma/kaggle-survey-google-services-for-data-analysis-o", "kernel_id": "32621819"}, {"ref": "jakkajdsfs/kaggle-survey-2022-analyzing-the-analysts", "kernel_id": "32290070"}, {"ref": "abhinavpreetham/data-science-survey", "kernel_id": "32702429"}, {"ref": "monaashraf/kaggle-survey-2022-complete-analysis", "kernel_id": "32771994"}, {"ref": "monaashraf/kaggle-survey-complete-data-analysis", "kernel_id": "32777264"}, {"ref": "weichang1111/2020-2022-kaggle-survey-eda-with-r", "kernel_id": "32282944"}, {"ref": "ayushshubhankar/survey-data", "kernel_id": "32250667"}, {"ref": "circleofcare/kaggle-survey-2022-exploratory-data-analysis", "kernel_id": "32627074"}, {"ref": "circleofcare/kaggle-2022-survey", "kernel_id": "32724303"}, {"ref": "sahilali744/less-women-in-stem-if-yes-why-so", "kernel_id": "32744103"}, {"ref": "shubhamc003/data-science-survey-courses", "kernel_id": "32936204"}, {"ref": "takahirokubo0/cloud-service-usage-among-data-scientists", "kernel_id": "33310205"}, {"ref": "zakirkhanaleemi/data-science-and-mlops-landscape", "kernel_id": "33835095"}, {"ref": "trancuong59196/how-is-vietnam-doing", "kernel_id": "33940417"}, {"ref": "egorovalexeyd/russian-ds-simple-analysis", "kernel_id": "33132414"}, {"ref": "toludoyinshopein/prerequisite-to-becoming-a-data-scientist-2", "kernel_id": "33696300"}, {"ref": "sujaykapadnis/survey", "kernel_id": "33892719"}, {"ref": "devananjelito/viz-kaggle-survey-2022", "kernel_id": "33014191"}, {"ref": "shayanraza/who-took-part-in-the-2022-kaggle-survery", "kernel_id": "33756084"}, {"ref": "mahikkaaa/2022-kaggle-machine-learning-data-science-survey", "kernel_id": "33392979"}, {"ref": "mung96/viz-kaggle-survey2022-korea", "kernel_id": "33625743"}, {"ref": "stpeteishii/kaggle-survey-2022-pie-chart-r", "kernel_id": "34601312"}, {"ref": "surobhipal/data-professional-jobs-india-exploratory-analysis", "kernel_id": "34900633"}, {"ref": "adityashukla1/2022-kaggle-survey-analysis", "kernel_id": "35702662"}, {"ref": "anwoybarua/exploratory-data-analysis-using-r", "kernel_id": "35391040"}, {"ref": "hamzabouajila/churn-modeling-classification-with-dl", "kernel_id": "35091504"}, {"ref": "shrutibhargava94/eda-upskill", "kernel_id": "36379284"}, {"ref": "olgabelitskaya/kaggle-ml-datascience-survey-part-1", "kernel_id": "38859328"}, {"ref": "maicmi/gen-z-zoomers-data-scientist-survey", "kernel_id": "39949422"}, {"ref": "tianmin/kaggle-survey-dataset-long-format-2017-2022-wip", "kernel_id": "40628007"}, {"ref": "abdulaziz7/industry-filter-data-science-and-mlops-lands", "kernel_id": "41224459"}, {"ref": "hadisraad/a-closer-look-at-newcomers-in-data-science", "kernel_id": "41214646"}, {"ref": "arifwani21/eda-of-kaggle-survey-dataset", "kernel_id": "43362845"}, {"ref": "brichedl/data-scientist-role-in-the-top-five-most-represen", "kernel_id": "43308446"}, {"ref": "samiullahbaig/2022-kaggle-machine-learning-data-science-survey", "kernel_id": "46963102"}, {"ref": "dickyaryanto/analysis-by-features", "kernel_id": "46793191"}, {"ref": "barnitaasaha/eda-analysing-useing-pandas", "kernel_id": "52910887"}, {"ref": "shivangi2018/analysis-using-python", "kernel_id": "53398911"}, {"ref": "abhijeet321/notebook1", "kernel_id": "53444285"}, {"ref": "anneswachatterjee/kaggle-survey-anneswa", "kernel_id": "53397770"}, {"ref": "debaratibose98/eda-pandas", "kernel_id": "53405796"}, {"ref": "nilanjanda/nilanjan-kaggle-2022-ml-dataset-eda", "kernel_id": "53416882"}, {"ref": "saikat700/2022-kaggle-ml-data-science-survey-saikat", "kernel_id": "53360500"}, {"ref": "antara1969/antara-analysis-on-survey-data", "kernel_id": "53396957"}, {"ref": "sumandas01/notebook9e373f6e02", "kernel_id": "53437278"}, {"ref": "siddyda/eda-using-pandas", "kernel_id": "53142431"}, {"ref": "zaryaabnoor/zaryaab-s-kaggle-2022-survey", "kernel_id": "53437249"}, {"ref": "hrithikhalder/eda-of-kaggle-data", "kernel_id": "53405441"}, {"ref": "rudrakantiparia/kaggle-2022-ml-ds-survey-analysis-rudra-k-paria", "kernel_id": "53466695"}, {"ref": "anikghosh29/2022-data-analysis-eda", "kernel_id": "53296393"}, {"ref": "sidharthgautam1/eda-in-pandas", "kernel_id": "53401565"}, {"ref": "anushreemondal08/eda-using-python-in-kaggle-data-set-2022", "kernel_id": "53359158"}, {"ref": "anushkamitra11/eda-using-pandas", "kernel_id": "53354407"}, {"ref": "soumyadipmaity1999/kaggle-machine-learning-data-science-survey", "kernel_id": "53408896"}, {"ref": "amit1720/kaggle-data-survey-2022", "kernel_id": "53435724"}, {"ref": "soumadeepdas99/eda-on-2022-s-ml-and-ds", "kernel_id": "53423602"}, {"ref": "ranjitmandal/ml-and-ds-survey-analysis-by-ranjit", "kernel_id": "53450604"}, {"ref": "srijanpanda/eda-by-srijan-panda-ml", "kernel_id": "53407770"}, {"ref": "mounojitdas/ml-ds-survey2022", "kernel_id": "53344700"}, {"ref": "sohamsarkar7/eda-analysis-ml", "kernel_id": "53410388"}, {"ref": "nishashaw/kaggle-survey-responses-nisha-shaw", "kernel_id": "53398565"}, {"ref": "subhashreemahapatra/subhashree-s-eda-of-kaggle-survey", "kernel_id": "53411046"}, {"ref": "soumadyuti/notebook7e1dc46da2", "kernel_id": "53440354"}, {"ref": "imankumarmishra98/eda-on-kaggle-survey-2022", "kernel_id": "53410511"}, {"ref": "anuranroy2631/eda-analysis-using-pandas-anuran", "kernel_id": "53489508"}, {"ref": "abhishekjha13/llama3-on-woolsworth-return-policy", "kernel_id": "55439107"}, {"ref": "mpwolke/llama3-on-kaggle-survey", "kernel_id": "55295722"}, {"ref": "mpwolke/gemma-keras-on-kaggle-survey", "kernel_id": "55369684"}, {"ref": "cardata/2022-kaggle-ml-da-survey", "kernel_id": "56286405"}, {"ref": "yuvrajnagar/analysis", "kernel_id": "64492334"}, {"ref": "othijazi/kaggle-2022-survey-analysis", "kernel_id": "71259130"}, {"ref": "yukyoungchoi/copywork-data-science-and-mlops-landscape-in-ind", "kernel_id": "78786380"}, {"ref": "spitfire2nd/why-should-i-kaggle-eda", "kernel_id": "86849752"}, {"ref": "spitfire2nd/why-should-i-kaggle", "kernel_id": "87462945"}, {"ref": "priyharshgangwar/competitive-constellations-kaggle-s-kernels", "kernel_id": "87424917"}, {"ref": "raanhojati/kaggle-2022-late-career-transitions", "kernel_id": "94840517"}, {"ref": "raanhojati/kaggle-2022-ds-and-da", "kernel_id": "95534313"}, {"ref": "raanhojati/kaggle-2022-ds-vs-da", "kernel_id": "96334545"}, {"ref": "georgeclaark/comp20121", "kernel_id": "109698460"}, {"ref": "alameenatilade/coursework", "kernel_id": "109636854"}, {"ref": "willnicholls/courseworkai", "kernel_id": "110092677"}, {"ref": "daniyal001/course-work", "kernel_id": "111063483"}, {"ref": "esomkg/aicoursework", "kernel_id": "115171239"}, {"ref": "lcgclub/ds-survey-income-classifier", "kernel_id": "128661284"}]}
{"competition_id": "39481", "kernels": []}
{"competition_id": "39484", "kernels": []}
{"competition_id": "39494", "kernels": []}
{"competition_id": "39496", "kernels": [{"ref": "jeffheaton/beach-demand-nlp", "kernel_id": "31812523"}, {"ref": "jeffheaton/beach-demand-yolo", "kernel_id": "31813491"}, {"ref": "jeffheaton/beach-prophet", "kernel_id": "31814378"}, {"ref": "jeffheaton/beach-seasonal", "kernel_id": "31811649"}, {"ref": "jeffheaton/beach-demand-eda", "kernel_id": "31671100"}, {"ref": "jeffheaton/beach-demand-naive-forecast", "kernel_id": "31700121"}, {"ref": "haotienkuo/info558-seasonal-nlp-yolo", "kernel_id": "32812075"}]}
{"competition_id": "39502", "kernels": []}
{"competition_id": "39556", "kernels": []}
{"competition_id": "39561", "kernels": []}
{"competition_id": "39577", "kernels": []}
{"competition_id": "39585", "kernels": [{"ref": "crained/lecr-keep-it-correlated", "kernel_id": "33518470"}, {"ref": "crained/lecr-copyright-vs-content", "kernel_id": "33548739"}, {"ref": "rams143/learning-equality-a-comprehensive-analysis", "kernel_id": "33919748"}, {"ref": "ttahara/le-cr-same-channel-contents-baseline", "kernel_id": "33335797"}, {"ref": "jjinho/learning-equality-eda", "kernel_id": "33505231"}, {"ref": "saurabhkumarsingh/data-exploration-eda", "kernel_id": "33842778"}, {"ref": "aliphya/eda-learning-equality", "kernel_id": "33581314"}, {"ref": "davidhguerrero/explore-topics-channels-parents-and-levels", "kernel_id": "33764852"}, {"ref": "hengzheng/lecr-sbert-recall-on-language", "kernel_id": "33728896"}, {"ref": "ragnar123/lecr-inference-p", "kernel_id": "33745347"}, {"ref": "ragnar123/lecr-unsupervised-train-set-public", "kernel_id": "33745412"}, {"ref": "ragnar123/lecr-xlm-roberta-base-baseline", "kernel_id": "33460871"}, {"ref": "sapr3s/connectivity-components-topics-and-content", "kernel_id": "33348662"}, {"ref": "thedrcat/lecr-semantic-visual-eda", "kernel_id": "33956356"}, {"ref": "thedrcat/lecr-100-experiments-to-improve-recall", "kernel_id": "33916212"}, {"ref": "docxian/learning-equality-exploring-topic-structure", "kernel_id": "33344383"}, {"ref": "zakirkhanaleemi/exploring-k12-eda-modeling", "kernel_id": "33831065"}, {"ref": "takamichitoda/lecr-translate-to-english", "kernel_id": "33829568"}, {"ref": "takamichitoda/lecr-sentence-vector-english", "kernel_id": "33841425"}, {"ref": "takamichitoda/lecr-translate-english-infer", "kernel_id": "33857717"}, {"ref": "takamichitoda/lecr-same-title-predict", "kernel_id": "33455639"}, {"ref": "takamichitoda/lecr-simple-unsupervised-baseline", "kernel_id": "33338354"}, {"ref": "ryanholbrook/curriculum-recommendation-efficiency-leaderboard", "kernel_id": "33131079"}, {"ref": "kunduruanil/le-curriculum-rec-eda-fe-model", "kernel_id": "33818605"}, {"ref": "theoviel/modeling-oriented-eda-building-a-good-cv-split", "kernel_id": "33350938"}, {"ref": "ssarkar445/le-curriculum-sbert-baseline", "kernel_id": "33424630"}, {"ref": "dellalkhaled/s-for-c-model", "kernel_id": "33667718"}, {"ref": "dellalkhaled/detecting-language-of-a-text", "kernel_id": "33423204"}, {"ref": "nqbinh17/hover-nodes-edges-tooltips", "kernel_id": "33419840"}, {"ref": "jazivxt/on-topic", "kernel_id": "33389588"}, {"ref": "sinchir0/lecr-simple-eda", "kernel_id": "33579043"}, {"ref": "sinchir0/cos-sim-title-by-tf-idf-per-language", "kernel_id": "33916541"}, {"ref": "rachanabisht/comprehensive-eda", "kernel_id": "33833684"}, {"ref": "pttljessy/eda-learning-equality-curriculum-recommendations", "kernel_id": "33557990"}, {"ref": "mpwolke/reflexionemos-sobre-lo-que-vemos-y-escuchamos", "kernel_id": "33490421"}, {"ref": "mpwolke/learning-equality-innovative-pedagogy", "kernel_id": "33335415"}, {"ref": "hasanbasriakcay/learning-equality-eda-fe-modeling", "kernel_id": "33343407"}, {"ref": "riadalmadani/sentence-transformers", "kernel_id": "33999764"}, {"ref": "sayantankirtaniya/infer-with-paraphrase-multilingual-mpnet-base-v2", "kernel_id": "33959735"}, {"ref": "jamiealexandre/sample-notebook-inference", "kernel_id": "33329197"}, {"ref": "jamiealexandre/tips-and-recommendations-from-hosts", "kernel_id": "33335065"}, {"ref": "jamiealexandre/sample-notebook-data-exploration", "kernel_id": "33134016"}, {"ref": "columbia2131/lecr-example-of-f2-score", "kernel_id": "33341456"}, {"ref": "dinowun/eda-simplified-learning-equality-cr", "kernel_id": "33360279"}, {"ref": "hetarthchopra/explore-k12-with-me-eda", "kernel_id": "33515710"}, {"ref": "hetarthchopra/lecr-roberta-simpler", "kernel_id": "33786433"}, {"ref": "hetarthchopra/sentencetransformers-lecr-first-model", "kernel_id": "33718079"}, {"ref": "erenakbulut/language-model-minilm-l12-v2", "kernel_id": "33359812"}, {"ref": "erenakbulut/lecr-simple-unsupervised-baseline", "kernel_id": "33358087"}, {"ref": "erenakbulut/eda-and-visualization-seaborn-msno", "kernel_id": "33341637"}, {"ref": "emirkocak/curriculum-recommendations-first-look-eda", "kernel_id": "33350545"}, {"ref": "zacchaeus/lecr-cv", "kernel_id": "33542635"}, {"ref": "sanjaylalwani/learning-equality-eda", "kernel_id": "33491263"}, {"ref": "rubyabdullah/translete-the-datasets-using-google-translate-api", "kernel_id": "33624956"}, {"ref": "horsek/lecr-content-topic-groups", "kernel_id": "33362823"}, {"ref": "satyanarayanam/cirucalam-mapping", "kernel_id": "33775653"}, {"ref": "desalegngeb/short-eda", "kernel_id": "33327020"}, {"ref": "poushalimukherjee/eda-learning-equality", "kernel_id": "33696702"}, {"ref": "kkkkkkc/lecr-eda", "kernel_id": "33943647"}, {"ref": "hlgdatascience/using-full-dataset-to-connect-topic-and-content", "kernel_id": "33343821"}, {"ref": "asimple/eda-lecr", "kernel_id": "33333759"}, {"ref": "mohamedbakrey/new-way-for-curriculum-recommendations", "kernel_id": "33824203"}, {"ref": "sabinakhadysy/learning-equality", "kernel_id": "33873333"}, {"ref": "tubotubo/lecr-tfidf-train", "kernel_id": "33401159"}, {"ref": "tubotubo/lecr-tfidf-inference", "kernel_id": "33400630"}, {"ref": "tubotubo/lecr-tfidf-train-withtips", "kernel_id": "33413109"}, {"ref": "aitorporcel/recommendations-using-multilingual-mpnet-base-v2", "kernel_id": "33437510"}, {"ref": "aitorporcel/simple-eda-using-pandas-profiling", "kernel_id": "33359111"}, {"ref": "moodrammer/lecr-visualize-full-topic-trees-with-content", "kernel_id": "33468398"}, {"ref": "andtaichi/finetunig-sentencetransformer", "kernel_id": "33995308"}, {"ref": "andtaichi/lecr-inference-p-finetuning", "kernel_id": "33994863"}, {"ref": "shuvojitdas/learning-equality", "kernel_id": "33869039"}, {"ref": "corneliuskristianto/lecr-baseline", "kernel_id": "33943820"}, {"ref": "kezzykeya/eda-of-content-topics-and-correlations-datasets", "kernel_id": "33938065"}, {"ref": "satyaprakashshukl/sentence-embedding-minilm-l12-v2", "kernel_id": "33378781"}, {"ref": "rsiva1104/curriculum-recommendations-eda", "kernel_id": "33340693"}, {"ref": "sujaykapadnis/beginner-friendly-visualisation", "kernel_id": "33863835"}, {"ref": "bechirkarmeni/learning-equality-curriculum-recommendations-2", "kernel_id": "33768013"}, {"ref": "bechirkarmeni/learning-equality-curriculum-recommendations-3", "kernel_id": "33768128"}, {"ref": "dietzschenostoevsky/data-exploration-eda", "kernel_id": "33842692"}, {"ref": "pjmathematician/lecr-topic-tree-visualization", "kernel_id": "33345034"}, {"ref": "sanandachowdhury/learning-equality", "kernel_id": "33719237"}, {"ref": "bradhammond/tensorflow-hugging-face-unsupervised-baseline", "kernel_id": "33524429"}, {"ref": "nesrineazaiez/equality-curriculum-recommendations", "kernel_id": "33899010"}, {"ref": "vseornviap/sharing-sweetviz-analysis", "kernel_id": "33781683"}, {"ref": "bulivington/lecr-sbert-infer", "kernel_id": "33972372"}, {"ref": "mattop/curriculum-recommendations-eda", "kernel_id": "33327362"}, {"ref": "senapatirajesh/learning-equality-eda", "kernel_id": "33997314"}, {"ref": "lau01b/lecr-eda", "kernel_id": "33453160"}, {"ref": "mr0106/l-e-c-r", "kernel_id": "33597623"}, {"ref": "friakhizar/notebook2cf3bc3c34", "kernel_id": "33367830"}, {"ref": "kaizen97/sbert-fuzzy-annoy", "kernel_id": "33570106"}, {"ref": "kaizen97/understanding-f2-kfold-cv-using-bert-pytorch", "kernel_id": "33611349"}, {"ref": "kaizen97/understanding-data-with-fuzzy", "kernel_id": "33634099"}, {"ref": "kaizen97/learning-equality-data-analysis", "kernel_id": "33467340"}, {"ref": "goldenlock/stage1-single-model-1fold", "kernel_id": "34956951"}, {"ref": "danofer/lecr-multiling-sentencetransformers-mnr-finetune", "kernel_id": "34208079"}, {"ref": "pukkinming/lecr-xlm-roberta-base-accelerate-multi-gpu", "kernel_id": "34698619"}, {"ref": "asiamr/deep-retrieval-model-with-tf-recommenders", "kernel_id": "34626335"}, {"ref": "whitelily/polars-f2-score", "kernel_id": "34778917"}, {"ref": "harisudhan312/lecr-eda-for-beginners", "kernel_id": "34286060"}, {"ref": "grzaini/understanding-data-and-modeling", "kernel_id": "34907715"}, {"ref": "vishwasgpai/basic-lec-eda", "kernel_id": "34541189"}, {"ref": "weiqiu/learning-equality-exploratory-data-analysis", "kernel_id": "34745106"}, {"ref": "kojimar/retriever-ensemble", "kernel_id": "34354994"}, {"ref": "utm529fg/tuning-paraphrase-multilingual-mpnet-base-0-331", "kernel_id": "34057077"}, {"ref": "nilimajain/training-data-update-gen-sentencetransformer", "kernel_id": "34557200"}, {"ref": "calpis10000/lecr-pre-embedding-xlmrobertabase-title", "kernel_id": "34308805"}, {"ref": "mvvppp/curriculum-recommendations-eda-for-everyone", "kernel_id": "34517935"}, {"ref": "gabrielbchacon/translate-all-texts-to-english-dataset", "kernel_id": "34588087"}, {"ref": "gabrielbchacon/dumming-correlations-dataset", "kernel_id": "34647277"}, {"ref": "linkgish/everintel-learning-equality", "kernel_id": "34732700"}, {"ref": "tfukuda675/lecr-polars-pandas-eda", "kernel_id": "34715518"}, {"ref": "nbroad/multiple-negatives-ranking-loss-lecr", "kernel_id": "34775567"}, {"ref": "riadalmadani/tranformer-based-denoising-autoencoder", "kernel_id": "34027851"}, {"ref": "vonewman/galsenai-notebook-eda-curriculum-recommendations", "kernel_id": "34498239"}, {"ref": "yitaoyu/lecr-inference-notebook0", "kernel_id": "34806273"}, {"ref": "saraswatitiwari/learning-equality-curriculum-recommendations", "kernel_id": "34712032"}, {"ref": "vassylkorzh/eda-let-s-understand-the-datasets", "kernel_id": "34532082"}, {"ref": "ridwanultanvir/lecr-transformers-sample-eda-unsupervised", "kernel_id": "34061220"}, {"ref": "dimasmunoz/another-boring-eda-curriculum-recommendations", "kernel_id": "34148948"}, {"ref": "jerrywang96/lecr-v1", "kernel_id": "34360377"}, {"ref": "barshaagrawal/learning-equality-simple-eda-handling-nan-values", "kernel_id": "34902465"}, {"ref": "barshaagrawal/learning-equality-eda", "kernel_id": "34066544"}, {"ref": "muhammadammarjamshed/analytics-and-content-reccomendations", "kernel_id": "34441698"}, {"ref": "bibanh/baseline-0-431-fully-pipeline-step-4-inference", "kernel_id": "34796061"}, {"ref": "bibanh/baseline-0-431-fully-pipeline-step-3-reranking", "kernel_id": "34775453"}, {"ref": "bibanh/baseline-0-431-fully-pipeline-step-2-clustering", "kernel_id": "34786626"}, {"ref": "bibanh/baseline-0-431-fully-pipeline-step-1-retriever", "kernel_id": "34825310"}, {"ref": "mdalimranabir/learningequity-getting-started-eda", "kernel_id": "34915874"}, {"ref": "nicyscaria22/exploratory-data-analysis", "kernel_id": "34636995"}, {"ref": "luisacarabali/npl-competition", "kernel_id": "34054460"}, {"ref": "cafelatte1/lecr-xlm-roberta-embedding-nearest-neighbor", "kernel_id": "34941122"}, {"ref": "monohue/lecr-analysis-sakana-ver", "kernel_id": "34202506"}, {"ref": "qcqced/lecr-eda-preprocess", "kernel_id": "34760696"}, {"ref": "sakshamarora42/eda-1", "kernel_id": "34398189"}, {"ref": "youssefjh/rattrapage", "kernel_id": "34622611"}, {"ref": "yujikomi/lecr-preprocessing-considering-language", "kernel_id": "34287375"}, {"ref": "leehann/inference-using-hnswlib-ds", "kernel_id": "34058431"}, {"ref": "yousifhassan/notebook8a750d9e5d", "kernel_id": "34337696"}, {"ref": "yuiwai/lecr-stsb-roberta-base", "kernel_id": "34573367"}, {"ref": "zakariajoudar/lstm-learning-equality", "kernel_id": "34061326"}, {"ref": "bulivington/retriever-ensemble-and-postprocessing", "kernel_id": "34517729"}, {"ref": "shivamtarte/sbert-topic-tree-lecr-recommendation111", "kernel_id": "34393846"}, {"ref": "melaneemelanee/equality-curriculum-recommendations", "kernel_id": "34313048"}, {"ref": "linijoseph/lecr-eda-fine-tuning", "kernel_id": "34222876"}, {"ref": "gomaki/observation-of-correlations-csv", "kernel_id": "34246548"}, {"ref": "sofiamatias/learning-equality-model-sm", "kernel_id": "34396703"}, {"ref": "playmakerg/unhcr-learning-equality-curriculum-recommendation", "kernel_id": "34105489"}, {"ref": "yilinl1u/inference", "kernel_id": "34694611"}, {"ref": "federicodevitohalevy/lecr-exploration", "kernel_id": "34167417"}, {"ref": "anhngtvoxter/retriever-ensemble", "kernel_id": "34482246"}, {"ref": "rahultriv5/curriculum-recommendations-eda-for-everyone", "kernel_id": "34684386"}, {"ref": "philippsinger/paraphrase-multilingual-mpnet-base-v2-cache", "kernel_id": "35839310"}, {"ref": "philippsinger/xlm-roberta-large-cache", "kernel_id": "35732950"}, {"ref": "philippsinger/xlm-roberta-base-cache", "kernel_id": "35642557"}, {"ref": "philippsinger/curriculum-efficiency-v6-prep", "kernel_id": "35944376"}, {"ref": "philippsinger/deberta-v3-xsmall-cache", "kernel_id": "35944402"}, {"ref": "philippsinger/paraphrase-multilingual-minilm-l12-v2-cache", "kernel_id": "35909533"}, {"ref": "philippsinger/notebook19bbcd9acb", "kernel_id": "35910600"}, {"ref": "saansd2003/lecr-xlmr-classification-baseline", "kernel_id": "35774558"}, {"ref": "saansd2003/lecr-sentence-transformer-content-embd", "kernel_id": "35836547"}, {"ref": "saansd2003/lecr-xlmr-inference", "kernel_id": "35951071"}, {"ref": "saansd2003/lecr-sentence-transformer-data-prep", "kernel_id": "35562591"}, {"ref": "saansd2003/lecr-sentence-transformer-data-prep-baseline", "kernel_id": "35565523"}, {"ref": "aerdem4/lecr-ensemble-v03", "kernel_id": "35823148"}, {"ref": "aerdem4/lecr-efficiency-nobert", "kernel_id": "35775474"}, {"ref": "aerdem4/lecr-efficiency-minilm", "kernel_id": "35951080"}, {"ref": "pronkinnikita/paraphrase-full-inference-lerc", "kernel_id": "35980694"}, {"ref": "xfffrank/lb-0-693-lecr-inference-two-stages-ensemble", "kernel_id": "35901546"}, {"ref": "weiqiu/use-ann-to-build-training-set", "kernel_id": "35228968"}, {"ref": "jaideepvalani/equality-init-l", "kernel_id": "35796506"}, {"ref": "shinomoriaoshi/lecr-v17g-infer", "kernel_id": "35395559"}, {"ref": "khabel/2nd-place-learning-equality-efficiency-prize", "kernel_id": "35957464"}, {"ref": "xiamaozi11/lecr-submit-models-v2", "kernel_id": "35439428"}, {"ref": "calpis10000/lecr-calpis-exp037", "kernel_id": "35959555"}, {"ref": "calpis10000/lecr-retriever-054-reranker-dataset-100", "kernel_id": "35790105"}, {"ref": "vmorelli/submit-cross-post", "kernel_id": "35925540"}, {"ref": "wuwenmin/wililam-lecr-stage1-infer", "kernel_id": "35150944"}, {"ref": "gutianyi0727/fork-of-lecr-recall-top5-inference", "kernel_id": "35564653"}, {"ref": "yitaoyu/lecr-knn-pipline", "kernel_id": "35436170"}, {"ref": "yitaoyu/knn-retriever-experiments", "kernel_id": "35451225"}, {"ref": "rohitsingh9990/fork-of-fork-of-inference-multiple-folds-4bd8ef", "kernel_id": "35971936"}, {"ref": "namanmehta1/recommendation-system-baseline-simple", "kernel_id": "35150429"}, {"ref": "namanmehta1/create-topic-tree-simplest-method", "kernel_id": "35182380"}, {"ref": "xiezejian/polars-f2-score", "kernel_id": "35354162"}, {"ref": "ekanshtrivedi09/learning-equality-eda", "kernel_id": "35076857"}, {"ref": "sunghyunjun/lecr-train-lgbmclassifier", "kernel_id": "35790382"}, {"ref": "sunghyunjun/lecr-train-lgbm-optuna", "kernel_id": "35957200"}, {"ref": "sunghyunjun/lecr-prepare-dataset-ct", "kernel_id": "35997277"}, {"ref": "sunghyunjun/lecr-submission-simcse-ret-only", "kernel_id": "35999030"}, {"ref": "sunghyunjun/lecr-submission-ct-ret-only", "kernel_id": "35999112"}, {"ref": "yaaseeee/try-flax-minilm-l12-retriever-t-v2-fix", "kernel_id": "35694337"}, {"ref": "karakasatarik/0-459-single-model-inference-w-postprocessing", "kernel_id": "35273554"}, {"ref": "vad13irt/language-models-pre-training", "kernel_id": "35258341"}, {"ref": "luisacarabali/fork-of-npl-competition", "kernel_id": "35862199"}, {"ref": "duuuscha/lecr-infer-sbert-crossbert", "kernel_id": "35206828"}, {"ref": "cafelatte1/lecr-inference-with-pretrained-mpnet-v2", "kernel_id": "35530301"}, {"ref": "cafelatte1/lecr-create-train-validation-dataset", "kernel_id": "35002491"}, {"ref": "cafelatte1/lecr-recommendation-in-channel-co-contents", "kernel_id": "35158588"}, {"ref": "corneliuskristianto/learning-equality-eda-fe-modeling", "kernel_id": "35699604"}, {"ref": "kishorreddymannur/dmp-basic-recommendation-system-evaluation", "kernel_id": "35449019"}, {"ref": "guillemgarciatarrach/lecr-postprocessing", "kernel_id": "35577676"}, {"ref": "moritake04/private124th-final-sub", "kernel_id": "35762097"}, {"ref": "kavin2002/eda-and-ml-on-learning-equality", "kernel_id": "35634257"}, {"ref": "nsadik/all-minilm-l6-v2-tuning-model-add", "kernel_id": "35720899"}, {"ref": "yuiwai/all-minilm-l6-v2-tuning-model-add", "kernel_id": "35524451"}, {"ref": "zakariajoudar/chatgpt-autocorrect", "kernel_id": "35009262"}, {"ref": "alextamboli/lr-notebook-2", "kernel_id": "35811452"}, {"ref": "seanhidayat/understanding-the-data", "kernel_id": "35121783"}, {"ref": "sofiamatias/learning-equality-challenge-semanticsearch", "kernel_id": "35655257"}, {"ref": "yilinl1u/fork-of-inference", "kernel_id": "35309115"}, {"ref": "federicodevitohalevy/lecr-modeling", "kernel_id": "35255585"}, {"ref": "kavvyashrev/notebook5eae88c468", "kernel_id": "35681877"}, {"ref": "philippsinger/efficiency-blend-v1", "kernel_id": "36021504"}, {"ref": "philippsinger/curriculum-efficiency-v8-prep", "kernel_id": "36023388"}, {"ref": "goldenlock/stage1-single-model-fulltrain", "kernel_id": "36167745"}, {"ref": "goldenlock/stage1-ensemble-fulltrain", "kernel_id": "36190231"}, {"ref": "churkinnikita/lecr-example-0-705-public", "kernel_id": "36173398"}, {"ref": "joviis/end-to-end-approach", "kernel_id": "36076658"}, {"ref": "khabel/2nd-place-learning-equality-leaderboard-prize", "kernel_id": "36020167"}, {"ref": "iiyamaiiyama/llecr-ens8910-125128-149154-155157", "kernel_id": "36022318"}, {"ref": "nlztrk/lecr-st-cross-encoders-cv-0-6461-50-pp", "kernel_id": "36044424"}, {"ref": "ilu000/curriculum-4th-place-solution", "kernel_id": "36366564"}, {"ref": "pulkid/lecr-training-st", "kernel_id": "36046030"}, {"ref": "pulkid/lecr-inference-st", "kernel_id": "36045550"}, {"ref": "yitaoyu/lecr-retriever-reranker-pipline", "kernel_id": "36045092"}, {"ref": "sunghyunjun/lecr-dataset-for-nn-clf", "kernel_id": "36001962"}, {"ref": "guillemgarciatarrach/lecr-training-and-inference", "kernel_id": "36084410"}, {"ref": "alextamboli/lecr-training-1", "kernel_id": "37013982"}, {"ref": "alextamboli/lecr-submit-v2", "kernel_id": "37182961"}, {"ref": "dylanhoang/sample-notebook-data-exploration", "kernel_id": "37514010"}, {"ref": "samfouad/predict-student-performance-eda-and-mlm", "kernel_id": "37009413"}, {"ref": "yuzhili/baseline-0-431-fully-pipeline-step-1-retriever", "kernel_id": "38181148"}, {"ref": "lokheichan/knowlege-distillation", "kernel_id": "40414200"}, {"ref": "lokheichan/baseline-0-431-fully-pipeline-step-4-inference", "kernel_id": "40270048"}, {"ref": "mvnthnh/notebooked4f81da7d", "kernel_id": "45727965"}, {"ref": "shweta0812/lecr-clustering-and-classification", "kernel_id": "51688267"}, {"ref": "tssberl/fork-of-fork-of-inference-multiple-folds-4bd8ef", "kernel_id": "60431299"}, {"ref": "sarvajeethuk/new-data", "kernel_id": "60299200"}, {"ref": "codingwithanuj/atulg", "kernel_id": "60435304"}, {"ref": "torreslu/learning-equality", "kernel_id": "63218558"}, {"ref": "nganhoang06/lecr-ensemble-v03", "kernel_id": "67949239"}, {"ref": "yangshi1997/midterm-2-v3", "kernel_id": "69680875"}, {"ref": "grintondh/unsupervise-learning", "kernel_id": "73401568"}, {"ref": "shuchi111/learning-equality-curriculum-recommendation", "kernel_id": "108838024"}]}
{"competition_id": "39598", "kernels": []}
{"competition_id": "39608", "kernels": [{"ref": "sunshine535/notebookf8fcb3590a", "kernel_id": "31436123"}, {"ref": "chenkuanchung/amazon-fine-food-reviews-sentiment-analysis", "kernel_id": "66639874"}, {"ref": "whats2000/word2vec-tfidf-sentiment-analysis-on-food-review", "kernel_id": "94941509"}]}
{"competition_id": "39610", "kernels": []}
{"competition_id": "39611", "kernels": []}
{"competition_id": "39619", "kernels": []}
{"competition_id": "39627", "kernels": [{"ref": "maxhalford/tutoriel-d-fi-ia-2023", "kernel_id": "30977390"}]}
{"competition_id": "39658", "kernels": []}
{"competition_id": "39665", "kernels": []}
{"competition_id": "39683", "kernels": []}
{"competition_id": "39689", "kernels": []}
{"competition_id": "39733", "kernels": []}
{"competition_id": "39735", "kernels": [{"ref": "israel777/notebook9ffd7ac200", "kernel_id": "31010505"}, {"ref": "cmplxxyttmt/roberta-pretrained-with-added-custom-layers", "kernel_id": "31146186"}, {"ref": "cmplxxyttmt/huggingface-pretrained-bert", "kernel_id": "31035393"}, {"ref": "colabra/prediction-with-glove-and-bidirectional-lstm", "kernel_id": "31143846"}]}
{"competition_id": "39738", "kernels": []}
{"competition_id": "39742", "kernels": [{"ref": "wulalala/course-4-code-plus", "kernel_id": "31288514"}, {"ref": "wulalala/course-3-code", "kernel_id": "31284424"}, {"ref": "wulalala/course-2-code", "kernel_id": "31276349"}, {"ref": "wulalala/course-5-code", "kernel_id": "31648075"}, {"ref": "wulalala/course-4-code", "kernel_id": "31555683"}]}
{"competition_id": "39749", "kernels": []}
{"competition_id": "39756", "kernels": []}
{"competition_id": "39763", "kernels": [{"ref": "bguberfain/dumbnet", "kernel_id": "80532438"}, {"ref": "seshurajup/openfwi-hgnet-train-with-670g", "kernel_id": "80741441"}, {"ref": "seshurajup/openfwi-inversionnet-train-with-670g-datasets", "kernel_id": "80733430"}, {"ref": "seshurajup/waveform-inversion-model-ensemble-of-10-openfwi", "kernel_id": "80524699"}, {"ref": "jaewook704/waveform-inversion-vel-to-seis", "kernel_id": "80985937"}, {"ref": "tetsuya3510/webdataset-handling-large-scale-dataset", "kernel_id": "80906153"}, {"ref": "tpmeli/exploratory-deep-dive-geo-wfi-data-insights", "kernel_id": "80998785"}, {"ref": "tpmeli/geo-lit-review-winning-strategies-starter", "kernel_id": "80546921"}, {"ref": "stpeteishii/wave-pca-dimensionality-reduction", "kernel_id": "80705244"}, {"ref": "stpeteishii/wave-3d-visualize", "kernel_id": "80640212"}, {"ref": "mpwolke/waveform-inversion-problems", "kernel_id": "80464986"}, {"ref": "ozhiro/first-starter", "kernel_id": "80464585"}, {"ref": "ozhiro/openfwi-pretrainedmodel", "kernel_id": "80463617"}, {"ref": "ozhiro/testdata-agc-seismicimage-png", "kernel_id": "80487683"}, {"ref": "ozhiro/topmute-analysis", "kernel_id": "80541222"}, {"ref": "ozhiro/model-ensemble-infer-and-submission", "kernel_id": "80742205"}, {"ref": "aisysxd/292-5-gpu-smartconvnet-waveform-inversion", "kernel_id": "80686076"}, {"ref": "dedquoc/waveform-inversion-quick-resolve", "kernel_id": "80541730"}, {"ref": "shaswatatripathy/geophysical-waveform-inversion", "kernel_id": "80556249"}, {"ref": "lonnieqin/geophysical-waveform-inversion-with-kfold", "kernel_id": "80860828"}, {"ref": "skaarface/starter-eda", "kernel_id": "80824862"}, {"ref": "hanchenwang114/waveform-inversion-kaggle-competition-tutorial", "kernel_id": "80386995"}, {"ref": "yakirakg/eda-yale-unc-ch-geophysical-waveform-inversion", "kernel_id": "80913496"}, {"ref": "motono0223/waveform-inversion-simple-eda", "kernel_id": "80500066"}, {"ref": "ravi20076/gwi2025-starter-v1", "kernel_id": "80466672"}, {"ref": "samuelzxu/i-put-the-full-openfwi-on-huggingface", "kernel_id": "80947856"}, {"ref": "johnnyhyland/faiss-search-baseline", "kernel_id": "80981519"}, {"ref": "johnnyhyland/unet-with-classifier-sub", "kernel_id": "80934743"}, {"ref": "johnnyhyland/waveform-classifier", "kernel_id": "80845731"}, {"ref": "sharifi76/eda-visualization-openfwi", "kernel_id": "80469780"}, {"ref": "sharifi76/offile-openfwi", "kernel_id": "80470477"}, {"ref": "rajsahu2004/data-visualization", "kernel_id": "80560585"}, {"ref": "pshikk/dumbernet-sub", "kernel_id": "80653083"}, {"ref": "okoloboga/seismic-u-net-a-lot-of-code", "kernel_id": "80494531"}, {"ref": "nikita7364777/u-net-lb-413", "kernel_id": "80672604"}, {"ref": "purinutpolasanano/305-6-smartconvnet-waveform-inversion", "kernel_id": "80552026"}, {"ref": "i2nfinit3y/hgnet-training-inference", "kernel_id": "80717618"}, {"ref": "i2nfinit3y/211-3-velocitygan-training-inference", "kernel_id": "80810659"}, {"ref": "gabrielchegemwihaki/notebook2d7fddc7c3", "kernel_id": "80534729"}, {"ref": "muhammadanas707/waveform-yale", "kernel_id": "80858621"}, {"ref": "hardikvij/data-visualization", "kernel_id": "80620964"}, {"ref": "keyushnisar/sesimic-imaging-beginnerfriendly", "kernel_id": "80914807"}, {"ref": "jacobthomasredmond/notebook04e0788461", "kernel_id": "80657431"}, {"ref": "romanahmed2024/yale-unc-basic-query", "kernel_id": "80517922"}, {"ref": "nikitamanaenkov/geophysical-waveform-cnn", "kernel_id": "80580973"}, {"ref": "olaflundstrom/geophysical-waveform-inversion-solution", "kernel_id": "80678612"}, {"ref": "olaflundstrom/improved-seismic-waveform-inversion", "kernel_id": "80682263"}, {"ref": "olaflundstrom/geophysical-waveform-inversion-starter-notebook", "kernel_id": "80556923"}, {"ref": "kayrahanozcan/yale-unc-ch-geophysical-waveform-inversion-v1-1", "kernel_id": "80619851"}, {"ref": "bhavyaagarwal272/notebookcc95e9370f", "kernel_id": "80484586"}, {"ref": "adhok93/5-depth-u-net-with-residual", "kernel_id": "81287828"}, {"ref": "adhok93/depth-5-u-net-experiment", "kernel_id": "81155750"}, {"ref": "adhok93/fwigan-example", "kernel_id": "81220028"}, {"ref": "adhok93/depth-3-u-net-experiment", "kernel_id": "81089039"}, {"ref": "narendra/fwi-baseline-submission", "kernel_id": "81097388"}, {"ref": "narendra/velocity-eigenvalue-eda", "kernel_id": "81810771"}, {"ref": "fpeccia/pytorch-forward-propagation-loss-function", "kernel_id": "81570075"}, {"ref": "egortrushin/gwi-unet-with-float16-dataset", "kernel_id": "81694370"}, {"ref": "egortrushin/gwi-improved-unet-pipepline-with-larger-dataset", "kernel_id": "81589290"}, {"ref": "tpmeli/beyond-mae-depth-curves-spectra-and-residuals", "kernel_id": "81676467"}, {"ref": "tpmeli/seismicdataset-helper-class-and-data-family-guide", "kernel_id": "81546551"}, {"ref": "gguillard/a-very-strange-tpu-easter-egg", "kernel_id": "81251556"}, {"ref": "mohammadtalaat7/geophysical-waveform-v2-0", "kernel_id": "81082989"}, {"ref": "nikitamanaenkov/waveform-inversion-pinn", "kernel_id": "81393878"}, {"ref": "ritzzg/updated-unet", "kernel_id": "81148820"}, {"ref": "germainkasereka/notebook13b03658a4", "kernel_id": "81414525"}, {"ref": "kayrahanozcan/gwi-unet-ile-fizik-tabanli-fwi-cozumu-turkce", "kernel_id": "81609806"}, {"ref": "lauracatalano/basic-training-plots", "kernel_id": "81366516"}, {"ref": "bhavyaagarwal272/bhavyaca", "kernel_id": "81176708"}, {"ref": "paulharrald/waveform-inversion-starter", "kernel_id": "81162525"}, {"ref": "eitanlees/show-me-the-wiggles", "kernel_id": "82437525"}, {"ref": "dan3dewey/gwi-2025-velocity-patterns-training-dataframe", "kernel_id": "82199155"}, {"ref": "fpeccia/deepwave-forward-propagation-loss-function", "kernel_id": "82557500"}, {"ref": "brendanartley/hgnet-v2-starter", "kernel_id": "82586737"}, {"ref": "otmanheddouch/crnn-on-larger-dataset", "kernel_id": "82342037"}, {"ref": "eliasqueirogavieira/openfwi-hgnet-train-with-670g", "kernel_id": "82775140"}, {"ref": "breezywaves/5-depth-u-net-with-residual", "kernel_id": "82241438"}, {"ref": "i2nfinit3y/unetinverse-training-inference-with-float16", "kernel_id": "82248864"}, {"ref": "i2nfinit3y/unet-inverse-training-inference", "kernel_id": "82181516"}, {"ref": "ryogofunahashi/velocity-files-are-500-1-70-70-not-500-70-70", "kernel_id": "82321827"}, {"ref": "ryogofunahashi/copy-of-openfwi-hands-on-tutorial", "kernel_id": "82327773"}, {"ref": "ramo1234/waveform-inversion-kaggle-competition-tutorial", "kernel_id": "82309238"}, {"ref": "jainaru/essential-codes", "kernel_id": "82471910"}, {"ref": "eldermireku/yale-geophysical-waveform-inversion-competition", "kernel_id": "82252573"}, {"ref": "lauracatalano/resnet-with-faiss-open-fwi", "kernel_id": "82451022"}, {"ref": "lauracatalano/clip-with-faiss-open-fwi", "kernel_id": "82488440"}, {"ref": "lauracatalano/preprocess-original-open-fwi-unet5-att", "kernel_id": "82275975"}, {"ref": "dheerajkannaujiya/yale-signal-processing", "kernel_id": "82468756"}, {"ref": "harshitsheoran/convnext-baseline", "kernel_id": "83465463"}, {"ref": "dynamo14324/waveform-inversion-solution-enhanced", "kernel_id": "83943633"}, {"ref": "dynamo14324/waveform-inversion-solution-inlined", "kernel_id": "83944779"}, {"ref": "brendanartley/convnext-full-resolution-baseline", "kernel_id": "83325343"}, {"ref": "vadimsobolevskiy/eda-for-yale-unc-ch-full-waveform-inversion", "kernel_id": "83959718"}, {"ref": "utkarshtomar736/waveform-visualization", "kernel_id": "83159392"}, {"ref": "shlomoron/gwi-leak", "kernel_id": "83816941"}, {"ref": "nakanishiwataru/fwi-seis-data-classifier", "kernel_id": "83269095"}, {"ref": "mhazett/deepwave-inversion-competition", "kernel_id": "83853274"}, {"ref": "abhinavsharma0706/waveform-inv", "kernel_id": "83850799"}, {"ref": "selvin3/basic-data-exploration", "kernel_id": "83426831"}, {"ref": "shamiks/tvregularizer-unet-on-float16-datase", "kernel_id": "83463019"}, {"ref": "jihanarora/eda-visualization-openfwi", "kernel_id": "83323354"}, {"ref": "ramanofthesky/geophysical-waveform-inversion", "kernel_id": "83965725"}, {"ref": "haruiig/train-unet-with-tpu-pytorch-xla", "kernel_id": "83237113"}, {"ref": "digiangtrinh/model-2", "kernel_id": "83212003"}, {"ref": "atom1231/ensemble-csv-with-public-solution", "kernel_id": "84572252"}, {"ref": "atom1231/ensemble-csv-for-more-files", "kernel_id": "84573755"}, {"ref": "crischir/keras-starter-1", "kernel_id": "84485941"}, {"ref": "crischir/keras-starter-3", "kernel_id": "84702812"}, {"ref": "harshitsheoran/recipe-simple-further-finetuned-bartley-models", "kernel_id": "84055771"}, {"ref": "dynamo14324/notebook76ecc296d6", "kernel_id": "84793006"}, {"ref": "brendanartley/caformer-full-resolution-improved", "kernel_id": "84225297"}, {"ref": "manatoyo/improved-vel-to-seis", "kernel_id": "84528098"}, {"ref": "nakanishiwataru/inversionnet-with-classified-data", "kernel_id": "84047827"}, {"ref": "nakanishiwataru/train-caformer-with-tpu-pytorch-xla", "kernel_id": "84734666"}, {"ref": "angushoy/seismicimaging", "kernel_id": "84683248"}, {"ref": "angushoy/seismicimagingalt", "kernel_id": "84852801"}, {"ref": "tinkei/yale-fwi-deepwave-library-example", "kernel_id": "84131471"}, {"ref": "mr0106/seisunet", "kernel_id": "84910562"}, {"ref": "mr0106/seisfusion", "kernel_id": "84843998"}, {"ref": "waterjoe/convnext-crossentropyloss", "kernel_id": "84643296"}, {"ref": "xunden/ensemble-public-solution-with-different-weights", "kernel_id": "84680301"}, {"ref": "maximbatykovich/notebook1debb432db", "kernel_id": "84779783"}, {"ref": "ramo1234/exp-no-2", "kernel_id": "84686347"}, {"ref": "hanguyen19071995/geophysical-waveform-inversion", "kernel_id": "84665593"}, {"ref": "overvalueawareness/caformer-full-resolution-improved", "kernel_id": "84293164"}, {"ref": "ayahashem333/seismic2velocity-submission-pipeline", "kernel_id": "84015801"}, {"ref": "nvanhieu15/harrycoderdikiemdau001", "kernel_id": "84501303"}, {"ref": "premashtekar/premyalepredict", "kernel_id": "84847124"}, {"ref": "noobanot/caformer-full-resolution-improved-7e63f1", "kernel_id": "84235316"}, {"ref": "wassimehennani/tryhard", "kernel_id": "84709415"}, {"ref": "crischir/train-unet-with-gpu-pytorch-xla", "kernel_id": "85253797"}, {"ref": "crischir/submission", "kernel_id": "85146069"}, {"ref": "gguillard/torch-vel-to-seis", "kernel_id": "85597902"}, {"ref": "mohammadasjadkhan/pinns", "kernel_id": "85588428"}, {"ref": "shlomoron/gwi-classifier-1", "kernel_id": "85968034"}, {"ref": "ryokamoda/pytorch-unet", "kernel_id": "85093137"}, {"ref": "faykudbq/submission-0625", "kernel_id": "85769517"}, {"ref": "serhiikharchuk/tf-efficientnetv2-l-modern-fwi", "kernel_id": "85596231"}, {"ref": "liusunju/yale-unc-ch-for-beginner", "kernel_id": "85652163"}, {"ref": "shigekii/data-visualizer", "kernel_id": "85337969"}, {"ref": "mtoshidesu/waveform-inversion-explanation-of-key-steps", "kernel_id": "85571562"}, {"ref": "haruiig/fwi-velocity-map-augmentation-for-curvefault-vel", "kernel_id": "85538106"}, {"ref": "billfan88/physics-driven-neural-network-for-interval", "kernel_id": "85030892"}, {"ref": "grvkhnl/fwi-fft-unet-advanced-v1", "kernel_id": "85513152"}, {"ref": "cudamax/caformer-full-resolution-improved", "kernel_id": "85094917"}, {"ref": "joaogabrielalvesg/am-i-evil", "kernel_id": "85632917"}, {"ref": "tascj0/fwi-inference", "kernel_id": "86255064"}, {"ref": "harshitsheoran/yale-fwi-vit-architecture", "kernel_id": "86163483"}, {"ref": "shlomoron/gwi-tfrecs-cfb", "kernel_id": "86454944"}, {"ref": "shlomoron/gwi-generate-cfb-public", "kernel_id": "86446239"}, {"ref": "shlomoron/gwi-gcp-path-tfrecs-x-cmprsd-val-f32", "kernel_id": "86031860"}, {"ref": "shlomoron/gwi-preds-37-52-ds-to-notebook", "kernel_id": "86052355"}, {"ref": "shlomoron/gwi-preds-32-36-flip-ds-to-notebook", "kernel_id": "86088713"}, {"ref": "shlomoron/gwi-val-ensemble-flip", "kernel_id": "86091564"}, {"ref": "shlomoron/gwi-preds-32-36-ds-to-notebook", "kernel_id": "86090838"}, {"ref": "shlomoron/gwi-val-ensemble-noflip", "kernel_id": "86094384"}, {"ref": "shlomoron/gwi-val-ensemble-flip-best", "kernel_id": "86096278"}, {"ref": "shlomoron/gwi-val-ensemble-noflip-best", "kernel_id": "86096479"}, {"ref": "shlomoron/gwi-classifier-1-infer", "kernel_id": "86106366"}, {"ref": "shlomoron/gwi-preds-37-42-flip-ds-to-notebook", "kernel_id": "86079477"}, {"ref": "shlomoron/gwi-preds-43-45-flip-ds-to-notebook", "kernel_id": "86122780"}, {"ref": "shlomoron/gwi-val-ensemble-style-best", "kernel_id": "86126424"}, {"ref": "shlomoron/gwi-ensemble-flip-noflip-style", "kernel_id": "86128087"}, {"ref": "shlomoron/gwi-val-ensemble-style", "kernel_id": "86115802"}, {"ref": "shlomoron/gwi-preds-6-10-style-ds-to-notebook", "kernel_id": "86117177"}, {"ref": "shlomoron/gwi-ensemble-flip-noflip-style-best", "kernel_id": "86142490"}, {"ref": "shlomoron/gwi-final-sub-with-labels", "kernel_id": "86192915"}, {"ref": "shlomoron/gwi-ensemble-best-nobest-w-style-4-6-weights", "kernel_id": "86153206"}, {"ref": "shlomoron/gwi-ensemble-postprocessing-2", "kernel_id": "86163838"}, {"ref": "sshiyu/final-submission-caformer-inference-only", "kernel_id": "86165296"}, {"ref": "jeroencottaar/geophysical-waveform-inversion-2nd-place", "kernel_id": "86342708"}, {"ref": "baivhavkummar/finalyaleunc", "kernel_id": "86106563"}, {"ref": "backpr0p/final-notebook", "kernel_id": "86438077"}, {"ref": "overvalueawareness/ensemble-best-solution-seismic25", "kernel_id": "86242908"}, {"ref": "shunsukehayashi1993/simple-solution-for-medal-borders", "kernel_id": "86288244"}, {"ref": "tanakitbutbamrung/notebook972deb8735", "kernel_id": "89726531"}, {"ref": "mdnaimislam165436/yale-unc-ch-geophysical-waveform-inversion", "kernel_id": "101676753"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "serignedamegadiaga/inversion-de-forme-d-onde-sismique", "kernel_id": "117967665"}, {"ref": "kornievaolga/notebook08a8467fdc", "kernel_id": "117358099"}, {"ref": "olgakornieva/notebookd0a0211cb6", "kernel_id": "118811402"}, {"ref": "olhakornieva/notebookd38557315e", "kernel_id": "118011500"}, {"ref": "yosbermudez/seismic-analysis-pipeline-som-vision-llm-rag", "kernel_id": "123136060"}]}
{"competition_id": "39777", "kernels": [{"ref": "meancoder/heart-disease-prediction-tf", "kernel_id": "31359831"}, {"ref": "sambhavsg/benchmark-submission-notebook", "kernel_id": "31035023"}, {"ref": "rajeshvalluri/heartattack", "kernel_id": "31424288"}, {"ref": "yongjunl/base-line-lightgbm-model-ver-1-0-heart-disease", "kernel_id": "31451891"}, {"ref": "kentak0928/base-line-lightgbm-model-ver-1-0-heart-disease", "kernel_id": "31407393"}, {"ref": "kentak0928/quick-eda-ver-1-0-heart-disease-prediction", "kernel_id": "31406708"}, {"ref": "kentak0928/all-approaches-mistakes-heart-disease", "kernel_id": "31573661"}, {"ref": "qudsiasamar/disease-prediction", "kernel_id": "31355208"}, {"ref": "niharika2020/disease-prediction", "kernel_id": "32061281"}]}
{"competition_id": "39778", "kernels": []}
{"competition_id": "39796", "kernels": []}
{"competition_id": "39798", "kernels": [{"ref": "girishvutukuri/exercise-deeplearning-cybersecurity", "kernel_id": "31373018"}, {"ref": "alvinleenh/malware-detector-random-forest-baseline", "kernel_id": "31432486"}, {"ref": "hayabaqais/team-name", "kernel_id": "31201564"}, {"ref": "kroha5/android-apps", "kernel_id": "47868756"}, {"ref": "yangdingcoffee/random-forest-optuna-model-predict", "kernel_id": "55424913"}, {"ref": "yangdingcoffee/din-yang", "kernel_id": "55424971"}, {"ref": "uibanatsuha/random-forest-optuna-model-predict", "kernel_id": "82098539"}]}
{"competition_id": "39808", "kernels": []}
{"competition_id": "39812", "kernels": [{"ref": "daniil915/notebooke097347a87", "kernel_id": "31096318"}, {"ref": "valeriipapin/flight-delay", "kernel_id": "32119625"}]}
{"competition_id": "39817", "kernels": []}
{"competition_id": "39868", "kernels": [{"ref": "bbiddul/advanced-01", "kernel_id": "31117360"}, {"ref": "bbiddul/advanced-01-basecode", "kernel_id": "31370755"}, {"ref": "choiyungil/basecode", "kernel_id": "31686309"}, {"ref": "yekyunkim/yekyun-kim", "kernel_id": "31686500"}, {"ref": "kimjaehoonhoon/advanced-01-basecode", "kernel_id": "31686413"}, {"ref": "sixsirul/classification1299", "kernel_id": "31686549"}, {"ref": "lordktop/advanced-01-basecode", "kernel_id": "31686373"}]}
{"competition_id": "39877", "kernels": []}
{"competition_id": "39927", "kernels": []}
{"competition_id": "39934", "kernels": [{"ref": "zyllin/visualization", "kernel_id": "31169057"}]}
{"competition_id": "39945", "kernels": []}
{"competition_id": "39949", "kernels": []}
{"competition_id": "39953", "kernels": [{"ref": "kuantinglai/111-1-dl-app-hw2", "kernel_id": "31161285"}]}
{"competition_id": "39959", "kernels": [{"ref": "niftynitin/logical-rhythm-2k22-patient-healthcare", "kernel_id": "31890821"}, {"ref": "kaalokggle/logicalrhythm2k22-pat-health", "kernel_id": "31681224"}, {"ref": "iampeaches/notebookd857d9b623", "kernel_id": "31887993"}, {"ref": "vedant2003pandey/notebook148847a15d", "kernel_id": "31859008"}, {"ref": "utkarsh1236/nofreelunch-patient-healthcare", "kernel_id": "32217532"}, {"ref": "moonstone34/lr-patient-healthcare-backpropagation", "kernel_id": "32047989"}, {"ref": "sergiidzhura/logical", "kernel_id": "71195057"}, {"ref": "artemburlachenko/notebook95b184f894", "kernel_id": "71192523"}]}
{"competition_id": "39967", "kernels": []}
{"competition_id": "39971", "kernels": [{"ref": "quandxbp/salary-classification", "kernel_id": "31494448"}, {"ref": "longtv/baseline-2022", "kernel_id": "31181886"}, {"ref": "minhtnnguyn/nh-m-5", "kernel_id": "31483530"}]}
{"competition_id": "40012", "kernels": [{"ref": "umangtri/finding-disney", "kernel_id": "31615391"}, {"ref": "prashanthacsq/fdis-en4-a384", "kernel_id": "31350903"}, {"ref": "prashanthacsq/fdis-en4-a384-infer", "kernel_id": "31381896"}, {"ref": "prashanthacsq/fdis-en4-a384-mode-infer", "kernel_id": "31805857"}, {"ref": "vedant2003pandey/notebooke2e3af6fb4", "kernel_id": "31977687"}, {"ref": "utkarsh1236/nofreelunch-finding-disney", "kernel_id": "31790430"}, {"ref": "niftynitin/logical-rhythm-finding-disney", "kernel_id": "32101492"}, {"ref": "kaalokggle/finding-disney-avishkar2k22", "kernel_id": "32152557"}, {"ref": "sarthak8110/notebooka3e60c60d0-263b6a", "kernel_id": "32206472"}, {"ref": "aditya5400/disney-character-classification", "kernel_id": "63549622"}, {"ref": "shaurya410/disney", "kernel_id": "63655911"}]}
{"competition_id": "40018", "kernels": []}
{"competition_id": "40019", "kernels": [{"ref": "vaibhavthapliyal1907/trial2", "kernel_id": "32915125"}, {"ref": "vaibhavthapliyal1907/notebook15280c79a2", "kernel_id": "32587346"}, {"ref": "amadeus17/fork-of-ml-project", "kernel_id": "32986691"}]}
{"competition_id": "40030", "kernels": [{"ref": "rogerromeromorral/benchmark-random-forest", "kernel_id": "31704280"}]}
{"competition_id": "40076", "kernels": []}
{"competition_id": "40083", "kernels": [{"ref": "niftynitin/logical-rhythm-2k22-bike-price-prediction", "kernel_id": "31838352"}, {"ref": "vedant2003pandey/notebookeb88f2eef6", "kernel_id": "31757405"}, {"ref": "utkarsh1236/nofreelunch-motorbike-cost", "kernel_id": "31890023"}, {"ref": "moonstone34/motorbike-cost", "kernel_id": "31974654"}, {"ref": "kaalokggle/motorbike-cost-2k22-logical-rhythm", "kernel_id": "32026870"}, {"ref": "abhaydixit500/notebookaa27c7cfa9-532fbe", "kernel_id": "32208813"}]}
{"competition_id": "40126", "kernels": []}
{"competition_id": "40140", "kernels": []}
{"competition_id": "40153", "kernels": [{"ref": "matthieuqcc/time-series-forecasting-with-xgboost", "kernel_id": "34937618"}]}
{"competition_id": "40160", "kernels": [{"ref": "kuantinglai/111-1-ee-ai-tw-food-101", "kernel_id": "31368987"}]}
{"competition_id": "40175", "kernels": []}
{"competition_id": "40180", "kernels": []}
{"competition_id": "40213", "kernels": []}
{"competition_id": "40251", "kernels": []}
{"competition_id": "40277", "kernels": [{"ref": "satyaprakashshukl/player-detection-segmentation", "kernel_id": "30896273"}, {"ref": "ryancaldwell/within-x-yards-distance-as-contact-baseline", "kernel_id": "33359754"}, {"ref": "ryancaldwell/xgboost-model", "kernel_id": "33328760"}, {"ref": "ryancaldwell/helmet-bounding-box-iou", "kernel_id": "33332700"}, {"ref": "robikscube/nfl-player-contact-detection-getting-started", "kernel_id": "33038197"}, {"ref": "skalskip/player-contact-detection-eda", "kernel_id": "33822253"}, {"ref": "zakirkhanaleemi/eda-and-instance-segmentation", "kernel_id": "33970239"}, {"ref": "zzy990106/nfl-2-5d-cnn-baseline-inference", "kernel_id": "33342480"}, {"ref": "samir95/extract-data", "kernel_id": "33340892"}, {"ref": "samir95/nfl-players-instance-segmentation-yolov7", "kernel_id": "33870862"}, {"ref": "stpeteishii/nfl-player-contact-data-histplot", "kernel_id": "33382904"}, {"ref": "mpwolke/nfl-safety-building-a-better-game", "kernel_id": "33040332"}, {"ref": "mpwolke/matthews-corrcoef-numba-feval", "kernel_id": "33063278"}, {"ref": "tanakar/nfl3-half-image", "kernel_id": "33729088"}, {"ref": "columbia2131/nfl-player-contact-detection-simple-xgb-baseline", "kernel_id": "33077274"}, {"ref": "dinowun/eda-simplified-nfl-1st-and-future-pcd", "kernel_id": "33106978"}, {"ref": "saraswatitiwari/1st-and-future-player-contact-detection", "kernel_id": "33901542"}, {"ref": "erenakbulut/eda-using-sweetviz-and-pandasprofiling", "kernel_id": "33060839"}, {"ref": "h0ngxuanli/comprehensive-starter-eda", "kernel_id": "33941260"}, {"ref": "josephkibira/nfl-player-contact-detection-simple-xgb-baseline", "kernel_id": "33228939"}, {"ref": "ridwanultanvir/nfl-using-cnn-tta-player-contact-detection", "kernel_id": "33865168"}, {"ref": "dqhdqmcttdqx/nfl-2022-eda-player-contact-detection", "kernel_id": "33302109"}, {"ref": "louisbunuel/yolov7-nfl-contact", "kernel_id": "33120218"}, {"ref": "asimple/getting-started-eda-player-contact-detection", "kernel_id": "33042669"}, {"ref": "dariussingh/nfl-visualizing-players-with-helmets", "kernel_id": "33602695"}, {"ref": "dariussingh/nfl-visualizing-player-tracking-data", "kernel_id": "33602862"}, {"ref": "dariussingh/player-contact-detection-eda", "kernel_id": "33465804"}, {"ref": "norifumiirie/visualize-the-helmet-locations-from-a-video-frame", "kernel_id": "33549671"}, {"ref": "sanketnaikwadi/notebookba303fed8f", "kernel_id": "33473709"}, {"ref": "royalacecat/lb-0-671-2-5d-cnn-baseline-more-tta-trick", "kernel_id": "33608943"}, {"ref": "royalacecat/nfl-2-5d-cnn", "kernel_id": "33534715"}, {"ref": "nicklambarth/eda-for-nfl-contact-detection", "kernel_id": "33881417"}, {"ref": "piyasaha/getting-started-with-nfl-player-contact-detection", "kernel_id": "33072542"}, {"ref": "ahmedelfazouan/nfl-player-contact-detection-helmet-track-ftrs", "kernel_id": "33270123"}, {"ref": "satyaprakashshukl/eda-player-contact-detection", "kernel_id": "33078077"}, {"ref": "satyaprakashshukl/csv-to-parquet-load-faster", "kernel_id": "33081432"}, {"ref": "rsiva1104/nfl-player-detection-and-analysis", "kernel_id": "33281215"}, {"ref": "rsiva1104/eda-and-data-analysis-for-player-contact-detection", "kernel_id": "33046916"}, {"ref": "rsiva1104/object-detection-with-yolo-theory", "kernel_id": "33063152"}, {"ref": "ricardfos/player-contact-detection", "kernel_id": "33494074"}, {"ref": "sanandachowdhury/player-contact-detection", "kernel_id": "33477476"}, {"ref": "mdriponmiah/nfl-player-contact-detection", "kernel_id": "33287402"}, {"ref": "mattop/nfl-player-contact-detection-eda", "kernel_id": "33040849"}, {"ref": "jinpingzhang/nfl-2022-eda-playercontactdetection", "kernel_id": "33810933"}, {"ref": "kyosaikyo/understand-table-data-japanese", "kernel_id": "33945193"}, {"ref": "mr0106/1st-f-p-c-d", "kernel_id": "33073047"}, {"ref": "dlogical/nfl-player-detection-tracking", "kernel_id": "33255117"}, {"ref": "trh2023/nfl-players-contact-detection-2023", "kernel_id": "33670017"}, {"ref": "trh2023/nfl-prognostication-contact-detection-2023", "kernel_id": "33351251"}, {"ref": "wonjoonhee/nflcode", "kernel_id": "33280505"}, {"ref": "anupamakate/nfl-player-contact-detection-getting-started", "kernel_id": "33065944"}, {"ref": "athirah2012/quaterback-nfl-2023", "kernel_id": "33953819"}, {"ref": "dwchen/nfl-player-contact-detection", "kernel_id": "34573453"}, {"ref": "jesperandersson/nflpcd-join-dataframes", "kernel_id": "34623101"}, {"ref": "stpeteishii/nfl-yolov8-player-position-detection", "kernel_id": "34344239"}, {"ref": "mvvppp/touchdown-american-football-eda-and-domain", "kernel_id": "34768463"}, {"ref": "jboss7/nfl-player-contact-detection-basicmerger0", "kernel_id": "34592137"}, {"ref": "jboss7/nfl-player-contact-detection-home-step-lr", "kernel_id": "34156606"}, {"ref": "jboss7/nfl-p-contact-detection-bernoullinb-alpha-0-01", "kernel_id": "34535427"}, {"ref": "priya1506/nfl-eda-baseline", "kernel_id": "34533904"}, {"ref": "zaemon1251hesty/lb-0-671-2-5d-cnn-baseline-with-polars", "kernel_id": "34116188"}, {"ref": "ibrahimkaratas/player-contact-detection-competitions", "kernel_id": "34555124"}, {"ref": "widhiwinata/nfl-player-contact-detection-simple-xgb-baseline", "kernel_id": "34483823"}, {"ref": "vedantgoswami/nfl-player-segementation", "kernel_id": "34134784"}, {"ref": "takuyasukegawa/nfl-detectron2-keypoint-detection-model", "kernel_id": "34900954"}, {"ref": "selvakumarperumal/player-contact-detection-training", "kernel_id": "34738751"}, {"ref": "jungjongseok/study001-of-nfl-2-5d-cnn-baseline-inference", "kernel_id": "34095059"}, {"ref": "thomasdubail/nfl-all-videos-with-labels", "kernel_id": "34569597"}, {"ref": "thomasdubail/nfl-2-5d-cnn-efficientnet-b4-5-fold", "kernel_id": "34662978"}, {"ref": "dariussingh/nfl-yolov8-object-detection-and-segmentation", "kernel_id": "34314290"}, {"ref": "dariussingh/nfl-visualizing-player-contact-labels", "kernel_id": "34289724"}, {"ref": "dariussingh/nfl-multipose-estimation-using-yolov8-mediapipe", "kernel_id": "34512321"}, {"ref": "royalacecat/training-nfl-2-5d-cnn-lb-0-671-with-tta", "kernel_id": "34497185"}, {"ref": "cyberblack0/training-nfl-2-5d-cnn-lb-0-671-with-tta", "kernel_id": "34903155"}, {"ref": "bhargavchirumamilla/lb-0-670-2-5d-cnn-baseline-part-tta-trick", "kernel_id": "34602405"}, {"ref": "fauzanmohammed/nfl-exploratory-analysis", "kernel_id": "34242979"}, {"ref": "stgkrtua/nfl-i-am-learing-polars-w-lgb", "kernel_id": "34703812"}, {"ref": "nicolasdemarque/eda-nn-1", "kernel_id": "34024561"}, {"ref": "shashankijeri/nfl-player-contact-detection-home-step-lr", "kernel_id": "34203284"}, {"ref": "shashankijeri/nfl-exploratory-analysis", "kernel_id": "34257906"}, {"ref": "rohitshitole/cnn-used-for-players-contact-detection-tta", "kernel_id": "34971775"}, {"ref": "greg90/lb-0-670-2-5d-cnn-baseline-part-tta-trick", "kernel_id": "34580715"}, {"ref": "archiecarpenter/our-best-submission", "kernel_id": "34772456"}, {"ref": "dmytropoplavskiy/nfl-sub-place3", "kernel_id": "35928189"}, {"ref": "yururoi/exp-135-3080-bugfix", "kernel_id": "35135657"}, {"ref": "dwchen/oof-analysis", "kernel_id": "35165143"}, {"ref": "vinitkp/player-contact", "kernel_id": "35165762"}, {"ref": "aruaru0/infer-only-nfl-lightgbm", "kernel_id": "35446436"}, {"ref": "nvnnghia/nfl3-ensemble-w-pp-sub", "kernel_id": "35700160"}, {"ref": "gumm4n/nfl-contactdetection", "kernel_id": "35507318"}, {"ref": "gumm4n/nfl-inference", "kernel_id": "35575570"}, {"ref": "jboss7/player-contact-detection-multinomialnb-model", "kernel_id": "35415695"}, {"ref": "jboss7/player-contact-detection-logistic-regression-1", "kernel_id": "35412986"}, {"ref": "jboss7/nfl-player-contact-log-regression-numvars1", "kernel_id": "35145241"}, {"ref": "anyai28/load-image-benchmark", "kernel_id": "35708470"}, {"ref": "tatamikenn/nfl-pcd-fold-split-with-less-player-duplication", "kernel_id": "35837755"}, {"ref": "tatamikenn/nfl-benchmark-of-loading-images", "kernel_id": "35792037"}, {"ref": "ryotasueyoshi/inference-fclayer-table-data-image", "kernel_id": "35161765"}, {"ref": "selvakumarperumal/pcd-test-a-kaggle-kernel-solution", "kernel_id": "35315982"}, {"ref": "yoyobar/cnn-with-feature", "kernel_id": "35431592"}, {"ref": "chinnamsasidharreddy/1st-and-future-player-contact-detection", "kernel_id": "35242970"}, {"ref": "salomelomsadze/nfl-contact-detection-with-lgbm", "kernel_id": "35638267"}, {"ref": "ananyaa01/training-notebook", "kernel_id": "35492267"}, {"ref": "sailohitakshreddyd/training-notebook", "kernel_id": "35331727"}, {"ref": "mrharshmishra/notebook-1st-and-future-player-contact-detection", "kernel_id": "35193738"}, {"ref": "puranjay14/nfl-1-purjaysin", "kernel_id": "35239507"}, {"ref": "atulyavaibhavraitiet/fork-of-atulya13", "kernel_id": "35340795"}, {"ref": "yikijiang/damo-yolo-person-helmet-detection-for-begginers", "kernel_id": "35089148"}, {"ref": "cocoyachi/yolov8-nfl-samplecode", "kernel_id": "36614285"}, {"ref": "nagavenkatasai/nfl-player-contact-detection", "kernel_id": "36653232"}, {"ref": "yiiino/load-image-benchmark-including-npy-and-pkl", "kernel_id": "36138647"}, {"ref": "anannyasingh610/notebookf39110613e", "kernel_id": "36967603"}, {"ref": "anannyasingh610/nfl-1-anannyasingh", "kernel_id": "36967463"}, {"ref": "lklegend/candidate-solution-2-using-resnet50-xgboost", "kernel_id": "37223618"}, {"ref": "sabahesaraki/nfl-mediapipe", "kernel_id": "37227493"}, {"ref": "mickles/nfl-for-learning-train-tf-berkeley-w207", "kernel_id": "37219245"}, {"ref": "mickles/nfl-for-learning-infer-tf-berkeley-w207", "kernel_id": "37444068"}, {"ref": "mnhtnghunh/nfl-multipose-estimation-using-yolov8-mediapipe", "kernel_id": "42839686"}, {"ref": "codyjanderson/nfl-predictions", "kernel_id": "47608251"}, {"ref": "puneetgupta24/1st-and-future-player-contact-detection", "kernel_id": "51461895"}, {"ref": "stpeteishii/nfl-yolov9-player-position-detection", "kernel_id": "52397667"}, {"ref": "annettelianchiu/nfl-predictions-rc", "kernel_id": "72474988"}, {"ref": "linheshen/infer-code", "kernel_id": "75838542"}, {"ref": "trankhanhnguyen/resnet18-dan", "kernel_id": "77387562"}, {"ref": "nahinpearanda/our-best-submission", "kernel_id": "86844630"}]}
{"competition_id": "40295", "kernels": []}
{"competition_id": "40329", "kernels": [{"ref": "bbiddul/submission-example", "kernel_id": "31453676"}, {"ref": "yeongseoklee/classification0101", "kernel_id": "31681197"}, {"ref": "gogogogi/classification-0512", "kernel_id": "31681778"}, {"ref": "choiyungil/classification1126", "kernel_id": "31681451"}, {"ref": "changinjjang/classification7255", "kernel_id": "31681201"}, {"ref": "lordktop/classification0630", "kernel_id": "31681424"}]}
{"competition_id": "40332", "kernels": [{"ref": "bbiddul/submission-test", "kernel_id": "31455590"}, {"ref": "yeongseoklee/submission-test", "kernel_id": "31711558"}, {"ref": "gogogogi/regression0512", "kernel_id": "31711549"}, {"ref": "choiyungil/submission114", "kernel_id": "31711562"}, {"ref": "yekyunkim/yekyun-submission-test", "kernel_id": "31711591"}, {"ref": "kimjaehoonhoon/notebook221262b48f", "kernel_id": "31711619"}, {"ref": "sixsirul/classification1341", "kernel_id": "31711551"}, {"ref": "skstkimmiseon/kimmiseon-0725", "kernel_id": "31711578"}, {"ref": "changinjjang/submission-test39153", "kernel_id": "31711595"}, {"ref": "lordktop/submission0630", "kernel_id": "31711547"}, {"ref": "suyeonjo123/advanced-1-mpg", "kernel_id": "31711540"}]}
{"competition_id": "40348", "kernels": [{"ref": "saikoushikvalluri/notebook10", "kernel_id": "31842899"}, {"ref": "donjoeml/predict-bike-sharing-demand-randomforestregresso", "kernel_id": "32105414"}]}
{"competition_id": "40401", "kernels": []}
{"competition_id": "40405", "kernels": []}
{"competition_id": "40427", "kernels": []}
{"competition_id": "40481", "kernels": []}
{"competition_id": "40501", "kernels": [{"ref": "nordineaouni/first-steps-with-yolo", "kernel_id": "35261548"}, {"ref": "skaro1/getting-started", "kernel_id": "35165576"}, {"ref": "aglingael/proximus-background", "kernel_id": "37594564"}, {"ref": "men3em121/image-classification-for-fiber-box-installation", "kernel_id": "94154497"}]}
{"competition_id": "40504", "kernels": []}
{"competition_id": "40562", "kernels": []}
{"competition_id": "40563", "kernels": []}
{"competition_id": "40572", "kernels": [{"ref": "hgumnur/baseline-nb", "kernel_id": "31588108"}, {"ref": "hgumnur/pranav-koundinya-final", "kernel_id": "31830418"}, {"ref": "kaustubhkhedkar/kaustubhk-final", "kernel_id": "31771346"}, {"ref": "vaish922/riya-final", "kernel_id": "31835310"}, {"ref": "bishakhdutta/bishakh-final", "kernel_id": "31815147"}, {"ref": "shifalirshetty/shifali-final", "kernel_id": "31822802"}, {"ref": "hayyanarshad/hayyanarshad-final-ipynb", "kernel_id": "31807669"}, {"ref": "shreyasudaya/shreyasudaya-final-ipynb", "kernel_id": "31824609"}, {"ref": "csking101/chinmaya-sahu-final", "kernel_id": "31714218"}, {"ref": "mercury14/notebookb66993c39b", "kernel_id": "31739493"}, {"ref": "hridaym25/hriday-final", "kernel_id": "31724103"}, {"ref": "shraddhahd/shraddha-h-d-final-ipynb", "kernel_id": "31807917"}, {"ref": "ankitdash1703/final-notebook", "kernel_id": "31740457"}, {"ref": "jayanthprathipati/baseline-nb", "kernel_id": "31737410"}, {"ref": "kesanamashinee/ashinee-final-ipynb", "kernel_id": "31727635"}, {"ref": "harishdendukuri/harish-final-ipynb", "kernel_id": "31766078"}, {"ref": "arunac535/arunachalam-final-ipynb", "kernel_id": "31823358"}, {"ref": "akashravi7/akash-final-ipynb", "kernel_id": "31830212"}, {"ref": "srimanthh/notebook23dc879134", "kernel_id": "31816411"}, {"ref": "srimanthh/srimanth-final", "kernel_id": "31829243"}, {"ref": "meherrushi/meher-final-ipynb", "kernel_id": "31745575"}, {"ref": "adityaharish03/adityaharish211it005-final", "kernel_id": "31817040"}, {"ref": "kunalsinghrajpurohit/kunal-singh-rajpurohit-final", "kernel_id": "31821274"}]}
{"competition_id": "40582", "kernels": []}
{"competition_id": "40594", "kernels": [{"ref": "goen01/aiba-c1-basecode", "kernel_id": "31609042"}, {"ref": "goen01/uos-aiba-2202-c1-data-analysis", "kernel_id": "32050101"}]}
{"competition_id": "40597", "kernels": []}
{"competition_id": "40598", "kernels": [{"ref": "asztyber/notebookd6da34f025", "kernel_id": "31612213"}]}
{"competition_id": "40600", "kernels": [{"ref": "asztyber/przyk-adowy-kod-do-lab", "kernel_id": "31614080"}]}
{"competition_id": "40603", "kernels": [{"ref": "kaushalkrishna2000/competition-notebook", "kernel_id": "33808061"}]}
{"competition_id": "40753", "kernels": []}
{"competition_id": "40755", "kernels": [{"ref": "profmanoela/kddcup-aula", "kernel_id": "31782942"}]}
{"competition_id": "40807", "kernels": []}
{"competition_id": "40852", "kernels": [{"ref": "abhishek14398/telecom-churn-case-study-hackathon-code", "kernel_id": "31770744"}, {"ref": "nastyadots/churn-prediction-catboost-optuna-shap", "kernel_id": "32098840"}, {"ref": "dineshchaudhary/notebooke3d3f8dfff", "kernel_id": "32134738"}, {"ref": "shraddhajbhoir/telecom-churn-prediction", "kernel_id": "34714712"}]}
{"competition_id": "40869", "kernels": []}
{"competition_id": "40894", "kernels": []}
{"competition_id": "40898", "kernels": [{"ref": "stonet2000/lux-ai-season-2-jupyter-notebook-tutorial", "kernel_id": "31860010"}, {"ref": "agenlu/enviroment-error", "kernel_id": "32185748"}, {"ref": "agenlu/enviroment-error-when-spawn-at-colum-or-row-0", "kernel_id": "32227919"}, {"ref": "agenlu/lux-ai-season-2-notebook-tutorial-fix-videos", "kernel_id": "32390163"}, {"ref": "jmerle/lux-eye-2022-integration", "kernel_id": "32482185"}, {"ref": "mpwolke/far-below-beta", "kernel_id": "32241102"}, {"ref": "scakcotf/notebookcecb1036af", "kernel_id": "33191521"}, {"ref": "prasadshingare/lux-eye-integration-2022", "kernel_id": "33517127"}, {"ref": "agenlu/test-luxai-season-2-enviroment", "kernel_id": "34437149"}]}
{"competition_id": "40902", "kernels": []}
{"competition_id": "40909", "kernels": []}
{"competition_id": "40911", "kernels": []}
{"competition_id": "40917", "kernels": []}
{"competition_id": "40918", "kernels": []}
{"competition_id": "40920", "kernels": []}
{"competition_id": "40940", "kernels": []}
{"competition_id": "41015", "kernels": [{"ref": "y09c18/isa-lab2-competition", "kernel_id": "32488405"}, {"ref": "wjuchen/dmlab2-110003816", "kernel_id": "32522180"}]}
{"competition_id": "41017", "kernels": []}
{"competition_id": "41055", "kernels": []}
{"competition_id": "41114", "kernels": [{"ref": "jwwangars/quadric-logit-forest-and-xgboost", "kernel_id": "32324740"}, {"ref": "vaasubisht/statistical-analysis-and-automl-classification", "kernel_id": "32378370"}]}
{"competition_id": "41122", "kernels": [{"ref": "violetapen/notebook8402aba991", "kernel_id": "32340186"}, {"ref": "hyoungjinbyoun/classification-mpg1234", "kernel_id": "32340001"}, {"ref": "jinyoungjeon2/regression-0626", "kernel_id": "32339981"}, {"ref": "hwreaper/classification-3", "kernel_id": "32339979"}, {"ref": "jhlee92skcom/classification-3", "kernel_id": "32344710"}, {"ref": "kychoe/notebook925eebb767-1195", "kernel_id": "32340237"}, {"ref": "shinsma/notebookebce90a250", "kernel_id": "32340007"}, {"ref": "dtdtdt111/notebook8f47565492", "kernel_id": "32339997"}]}
{"competition_id": "41123", "kernels": [{"ref": "violetapen/suyeon-myeong", "kernel_id": "32309110"}, {"ref": "hyoungjinbyoun/classification-1234", "kernel_id": "32309118"}, {"ref": "jinyoungjeon2/classification-0626", "kernel_id": "32309119"}, {"ref": "hwreaper/classification0314", "kernel_id": "32309323"}, {"ref": "jhlee92skcom/submission0108", "kernel_id": "32309773"}, {"ref": "kychoe/choe-1195", "kernel_id": "32309114"}, {"ref": "shinsma/notebook0f67a7a4db", "kernel_id": "32309117"}, {"ref": "dtdtdt111/kimminjae", "kernel_id": "32309112"}]}
{"competition_id": "41124", "kernels": [{"ref": "bbiddul/advanced-2-base-code", "kernel_id": "32073082"}, {"ref": "hwreaper/classification2-0314", "kernel_id": "32311610"}, {"ref": "jhlee92skcom/advanced-2-base-code", "kernel_id": "32312696"}]}
{"competition_id": "41125", "kernels": [{"ref": "violetapen/advanced-2-price-base-code", "kernel_id": "32340911"}, {"ref": "bbiddul/advanced-2-price-base-code", "kernel_id": "32081626"}, {"ref": "hyoungjinbyoun/regression-0a", "kernel_id": "32340635"}, {"ref": "jinyoungjeon2/advanced-2-0626", "kernel_id": "32340797"}, {"ref": "hwreaper/classification4-0314", "kernel_id": "32345598"}, {"ref": "jhlee92skcom/advanced-2-price-base-code", "kernel_id": "32340995"}, {"ref": "kychoe/advanced-2-price-base-code-1195", "kernel_id": "32340484"}, {"ref": "dtdtdt111/advanced-2-price-base-code", "kernel_id": "32340967"}, {"ref": "choomyeongho/advanced-2-price-base-code", "kernel_id": "32341260"}]}
{"competition_id": "41126", "kernels": [{"ref": "bbiddul/advanced-2-satisfaction-base-code", "kernel_id": "32083296"}, {"ref": "hwreaper/regression-0314", "kernel_id": "32349726"}]}
{"competition_id": "41133", "kernels": []}
{"competition_id": "41137", "kernels": [{"ref": "ahmed2892/credit-scoring", "kernel_id": "32286306"}]}
{"competition_id": "41146", "kernels": []}
{"competition_id": "41147", "kernels": []}
{"competition_id": "41150", "kernels": []}
{"competition_id": "41153", "kernels": [{"ref": "mohammedobeidat/us-stocks-prediction-with-technical-indicators", "kernel_id": "34118935"}, {"ref": "mohammedobeidat/us-stocks-price-prediction-using-fundamentals", "kernel_id": "34226303"}, {"ref": "mohammedobeidat/predicting-stock-price-an-ml-approach", "kernel_id": "35121011"}, {"ref": "elizabetsanyal/simple-model-prediction", "kernel_id": "37214433"}]}
{"competition_id": "41159", "kernels": [{"ref": "baselmather/music-genre-classification-using-ensemble-learning", "kernel_id": "32492579"}, {"ref": "sanafwl/music-genre-classification-eda-analysis", "kernel_id": "32936093"}, {"ref": "baselanaya/music-genre-classification-using-ensemble", "kernel_id": "32533692"}, {"ref": "baselanaya/music-genre-classification-using-ensemble-learning", "kernel_id": "32203076"}, {"ref": "fatmaqazaer/music-genre-classification-using-ensemble-learning", "kernel_id": "32370016"}, {"ref": "islambey/music-genre-classification-using-catboost", "kernel_id": "33038166"}]}
{"competition_id": "41169", "kernels": []}
{"competition_id": "41188", "kernels": [{"ref": "baraamelhem/disaster-nlp", "kernel_id": "45694321"}, {"ref": "kathir05/kathir-kumar-nlp", "kernel_id": "47925971"}, {"ref": "tolgabolat/tf-rnn", "kernel_id": "48733638"}, {"ref": "sakaguchiyukiya/notebook2736404d24", "kernel_id": "86857177"}, {"ref": "sakaguchiyukiya/fork-of-notebook2736404d24", "kernel_id": "87336571"}]}
{"competition_id": "41189", "kernels": []}
{"competition_id": "41279", "kernels": []}
{"competition_id": "41281", "kernels": []}
{"competition_id": "41283", "kernels": []}
{"competition_id": "41362", "kernels": []}
{"competition_id": "41369", "kernels": []}
{"competition_id": "41370", "kernels": []}
{"competition_id": "41390", "kernels": []}
{"competition_id": "41404", "kernels": []}
{"competition_id": "41415", "kernels": []}
{"competition_id": "41457", "kernels": []}
{"competition_id": "41488", "kernels": []}
{"competition_id": "41572", "kernels": []}
{"competition_id": "41591", "kernels": [{"ref": "rohitsinha22bce5007/notebook4f1bbe59cf", "kernel_id": "32117433"}]}
{"competition_id": "41615", "kernels": []}
{"competition_id": "41619", "kernels": [{"ref": "clyde1114/615557-sample", "kernel_id": "32082338"}, {"ref": "matthew624/18011737-ds-solution-ch8", "kernel_id": "32116004"}, {"ref": "sotgye221/16010386-ds-solution-ch8", "kernel_id": "32115637"}, {"ref": "jiyeonac/19011700-ds-solution-ch8", "kernel_id": "32116310"}, {"ref": "ywhwang/19011705-ds-solution-ch8", "kernel_id": "32117862"}, {"ref": "jihwanyoon6/17011733-ds-solution-ch8", "kernel_id": "32116641"}, {"ref": "jiinpp/20011821-ds-solution-ch8", "kernel_id": "32117298"}, {"ref": "chaosfire7/20011756-ds-solution-ch8", "kernel_id": "32116179"}, {"ref": "wngur0313/21011928-ds-solution-ch8", "kernel_id": "32239330"}, {"ref": "imbeen/20011802-ds-solution-ch8", "kernel_id": "32358915"}, {"ref": "kimhyeongjunes/17011717-ch8", "kernel_id": "32219001"}, {"ref": "krhong/19012022-ds-solution-ch8", "kernel_id": "32117778"}, {"ref": "jeongyounghyeon/18011742-ds-solution-ch8", "kernel_id": "32116533"}, {"ref": "vvoo615/18011712-ds-solution-ch8", "kernel_id": "32186651"}, {"ref": "jeonkyubo/18011738-solution-ch8", "kernel_id": "32116182"}, {"ref": "isakacindy/20011826-ds-solution-ch8", "kernel_id": "32117884"}, {"ref": "hyeonjin7418/19013226-ds-solution-ch8", "kernel_id": "32340559"}, {"ref": "soojeoong/20011805-ds-solution-ch8", "kernel_id": "32303467"}, {"ref": "jungphilip/18011711-ds-solution-ch8", "kernel_id": "32274859"}, {"ref": "minlog/17011734-ds-solution-ch8", "kernel_id": "32116873"}, {"ref": "hyj9863/19013230-ds-solution-ch8", "kernel_id": "32117696"}, {"ref": "joyewon/20012646-ds-solution-ch8", "kernel_id": "32219093"}, {"ref": "sungjunson/20011794-ds-solution-ch8", "kernel_id": "32117703"}, {"ref": "mingyujeon515/18011744-ds-solution-ch8", "kernel_id": "32116251"}, {"ref": "kimhyunsoo98/20011764-ds-solution-ch8", "kernel_id": "32117759"}, {"ref": "hellojsy/18011732-ds-solution-ch8", "kernel_id": "32117695"}, {"ref": "seongchanjeon/18011730-ds-solution-ch8", "kernel_id": "32320580"}, {"ref": "haegu99/18011727-ds-solution-ch8", "kernel_id": "32117714"}, {"ref": "choihyeongyu98/17011721-ds-solution-ch8", "kernel_id": "32117729"}, {"ref": "soeun72/20011817-ds-solution-ch8", "kernel_id": "32325484"}, {"ref": "hwangchanwoong/18011722-ds-solution-ch8", "kernel_id": "32293221"}, {"ref": "qet0826/18011736-ds-solution-ch8", "kernel_id": "32314920"}, {"ref": "kohminzoo/20003327-ds-solution-ch8", "kernel_id": "32115860"}, {"ref": "mindang/19013228-ds-special-ch8", "kernel_id": "32116469"}, {"ref": "smilyg/19013224-ds-solution-ch8", "kernel_id": "32355818"}, {"ref": "ehyeeez/20011812-ds-solution-ch8", "kernel_id": "32117700"}]}
{"competition_id": "41626", "kernels": []}
{"competition_id": "41640", "kernels": []}
{"competition_id": "41660", "kernels": []}
{"competition_id": "41739", "kernels": [{"ref": "krasusmage/notebookb63ddd61e3", "kernel_id": "33737746"}, {"ref": "krasusmage/notebook4f7881be4d", "kernel_id": "33711770"}]}
{"competition_id": "41741", "kernels": []}
{"competition_id": "41747", "kernels": [{"ref": "tanguyvansnick/read-data", "kernel_id": "32868732"}]}
{"competition_id": "41765", "kernels": [{"ref": "hibaallah/time-series-analysis-project", "kernel_id": "73224119"}]}
{"competition_id": "41766", "kernels": []}
{"competition_id": "41767", "kernels": []}
{"competition_id": "41768", "kernels": [{"ref": "mpwolke/what-indian-dish-is-that", "kernel_id": "32175479"}]}
{"competition_id": "41820", "kernels": [{"ref": "thitinan/code-template", "kernel_id": "32350171"}, {"ref": "erenkonta/bulut-t-r-s-n-fland-rmas", "kernel_id": "68911172"}]}
{"competition_id": "41830", "kernels": []}
{"competition_id": "41834", "kernels": []}
{"competition_id": "41838", "kernels": []}
{"competition_id": "41849", "kernels": []}
{"competition_id": "41861", "kernels": []}
{"competition_id": "41864", "kernels": []}
{"competition_id": "41868", "kernels": []}
{"competition_id": "41875", "kernels": [{"ref": "inversion/submitting-to-the-cafa-competition", "kernel_id": "37417735"}, {"ref": "sergeifironov/quickgo-1000", "kernel_id": "37704002"}, {"ref": "sergeifironov/t5embeds-calculation-only-few-samples", "kernel_id": "37669947"}, {"ref": "sergeifironov/validate-ridge", "kernel_id": "37676204"}, {"ref": "sergeifironov/duplicates-train-test", "kernel_id": "37557925"}, {"ref": "danofer/cafa-protein-implicit-tfrs-recommender-baseline", "kernel_id": "37460025"}, {"ref": "danofer/fork-baseline-multilabel-t5-embeds-cafa5", "kernel_id": "37697232"}, {"ref": "danofer/extracting-ankh-protein-embeddings", "kernel_id": "37900614"}, {"ref": "nhgiang/prepare-data-for-proteinbert", "kernel_id": "37432502"}, {"ref": "mtinti/test-notebook-quickgo", "kernel_id": "37861191"}, {"ref": "mtinti/fake-cafa-sub", "kernel_id": "37654864"}, {"ref": "mtinti/go-terms-not-in-train", "kernel_id": "37559219"}, {"ref": "asiknow/load-and-explore-taxonomy-information", "kernel_id": "37838117"}, {"ref": "thedrcat/cafa-5-protein-function-prediction-eda", "kernel_id": "37432139"}, {"ref": "alexandervc/cafa5-levenshtein-distance-features", "kernel_id": "37783127"}, {"ref": "alexandervc/cd-hit-problem", "kernel_id": "37725770"}, {"ref": "alexandervc/baseline-multilabel-to-multitarget-binary", "kernel_id": "37656005"}, {"ref": "alexandervc/sgt-embeddings-sequence-graph-transform", "kernel_id": "37900515"}, {"ref": "alexandervc/cafa5-sgt-embeddings-visualizations", "kernel_id": "37972843"}, {"ref": "alexandervc/cafa5-levenshtein-distances-feature-visualizations", "kernel_id": "37974667"}, {"ref": "alexandervc/fork-of-cafa5-sgt-embeddings-visualizations", "kernel_id": "37998571"}, {"ref": "alexandervc/cafa5-towards-eda", "kernel_id": "37476439"}, {"ref": "alexandervc/uniprot-api", "kernel_id": "37508560"}, {"ref": "alexandervc/esmfold-protein-folding-model-hugging-face-nb", "kernel_id": "37595240"}, {"ref": "alexandervc/seqvec-bio-embeddings-install-fail", "kernel_id": "37579504"}, {"ref": "alexandervc/protbert-embedding-starter", "kernel_id": "37579584"}, {"ref": "alexandervc/cafa5-visualization-dimensional-reductions-embed", "kernel_id": "37630537"}, {"ref": "viktorfairuschin/extracting-esm-2-embeddings-from-fasta-files", "kernel_id": "37869036"}, {"ref": "viktorfairuschin/esm-2-embeddings-starter", "kernel_id": "37869876"}, {"ref": "stpeteishii/cafa-5-mitochondria-related-functions", "kernel_id": "37821129"}, {"ref": "stpeteishii/cafa-5-calculate-sequence-similarity", "kernel_id": "37901170"}, {"ref": "mpwolke/cafa-5-protein-prediction", "kernel_id": "37434606"}, {"ref": "mpwolke/danio-rerio", "kernel_id": "37559391"}, {"ref": "visualcomments/uniprot-description-embeddings-explore", "kernel_id": "37608663"}, {"ref": "visualcomments/uniprot-description-embeddings", "kernel_id": "37612975"}, {"ref": "visualcomments/baseline-multilabel-to-multitarget-binary", "kernel_id": "37739154"}, {"ref": "dhruvkhatri/naive-submission-afa", "kernel_id": "37620707"}, {"ref": "yash161101/simple-naive-approach-make-your-first-submission", "kernel_id": "37916771"}, {"ref": "leonidkulyk/eda-cafa5-pfp-interactive-dags-plotly", "kernel_id": "37432242"}, {"ref": "geraseva/protbert-embedding", "kernel_id": "37704455"}, {"ref": "geraseva/keops-knn", "kernel_id": "37663283"}, {"ref": "andreylalaley/esm-embeds-calculation", "kernel_id": "37701425"}, {"ref": "gerardogonzlez/cafa-5", "kernel_id": "37587022"}, {"ref": "msandipan98/decision-tree-classification-using-credit-score-da", "kernel_id": "37602472"}, {"ref": "mohamedmaattallah/cafa-protein-prediction", "kernel_id": "37757565"}, {"ref": "insiyajafferji/cafa5-protein-data-explore", "kernel_id": "37593594"}, {"ref": "insiyajafferji/naive-bayes-using-protein-classification-cafa5", "kernel_id": "37885790"}, {"ref": "rookieaj1234/basic-eda-on-train-terms", "kernel_id": "37938983"}, {"ref": "dustinober/cafa-5-protein-function-prediction", "kernel_id": "37798056"}, {"ref": "piehtvh/cafa5-eda", "kernel_id": "37549522"}, {"ref": "aesoptacit/en-ja-simple-data-check", "kernel_id": "37782565"}, {"ref": "sonyagrey/genes-intersection", "kernel_id": "37677194"}, {"ref": "antoninadolgorukova/gene-ontology-explorer", "kernel_id": "37855599"}, {"ref": "antoninadolgorukova/cafa5-train-set-go-terms-eda", "kernel_id": "37953959"}, {"ref": "yunsuxiaozi/word-vector-similarity", "kernel_id": "37776977"}, {"ref": "yunsuxiaozi/important-number", "kernel_id": "37614167"}, {"ref": "samfouad/cafa-protein-implicit-eda-and-mlm", "kernel_id": "37518096"}, {"ref": "vinitkp/r-eda-protein", "kernel_id": "38942704"}, {"ref": "alexandervc/cafa5-eda-detailed-2", "kernel_id": "38834312"}, {"ref": "alexandervc/cafa5-eda-test-detailed", "kernel_id": "38640106"}, {"ref": "alexandervc/cafa5-lgb-default", "kernel_id": "38543999"}, {"ref": "alexandervc/cafa5-logreg", "kernel_id": "38526040"}, {"ref": "alexandervc/cafa5-t5-protein-embeddings-visualization", "kernel_id": "38188841"}, {"ref": "alexandervc/cafa5-protbert-protein-embeddings-visualization", "kernel_id": "38188915"}, {"ref": "alexandervc/cafa5-nlp-description-protein-embeddings-visualiz", "kernel_id": "38196650"}, {"ref": "alexandervc/cafa5-lgb-best1", "kernel_id": "38303474"}, {"ref": "alexandervc/cafa5-train-eda-detailed", "kernel_id": "38011216"}, {"ref": "alexandervc/cafa5-esm2-protein-embeddings-visualizations", "kernel_id": "38015454"}, {"ref": "averma111/pytorch-cafa-5-prediction", "kernel_id": "38816136"}, {"ref": "salmaneunus/molecular-machine-learning-with-deep-chem-part-1", "kernel_id": "38675556"}, {"ref": "readoc/cafa-esm-jax-15b", "kernel_id": "38474587"}, {"ref": "ridwanultanvir/multinomialnb-cafa5-protein-prediction", "kernel_id": "38556334"}, {"ref": "mariaminaeva/ridgereg-with-expression-features", "kernel_id": "38595212"}, {"ref": "arqamp/cafa-pfp-eda", "kernel_id": "38608873"}, {"ref": "henriupton/proteinet-v2-inference-notebook", "kernel_id": "38836882"}, {"ref": "henriupton/proteinet-pytorch-ems2-t5-protbert-embeddings", "kernel_id": "38125839"}, {"ref": "geraseva/diamond", "kernel_id": "38030790"}, {"ref": "geraseva/deepgo", "kernel_id": "38029734"}, {"ref": "geraseva/deepgoplus", "kernel_id": "38397189"}, {"ref": "cafelatte1/cafa-eda-go-term-coincidence-analysis-v1", "kernel_id": "38834998"}, {"ref": "cafelatte1/cafa-eda-target-v1", "kernel_id": "38827804"}, {"ref": "gusthema/cafa-5-protein-function-with-tensorflow", "kernel_id": "38858218"}, {"ref": "daehunbae/esm-2-3b-embeddings-with-three-pooling-methods", "kernel_id": "38792435"}, {"ref": "ganeshborkar31/protein-function-prediction", "kernel_id": "38283209"}, {"ref": "stomar21/eda-cafa-5-protein-function-analysis", "kernel_id": "38408339"}, {"ref": "alexanderpov/cafa-5-protein-niasia-alexander-isa-e-eduardo", "kernel_id": "38909122"}, {"ref": "benjaminschulman/fasta-eda", "kernel_id": "38923166"}, {"ref": "psubrat98/protin-function-prediction-data-info", "kernel_id": "38464526"}, {"ref": "simonveitner/basic-eda-of-sequences", "kernel_id": "38488230"}, {"ref": "simonveitner/basic-eda-of-t5-embeddings", "kernel_id": "38514432"}, {"ref": "simonveitner/baseline-5-folds-t5", "kernel_id": "38553722"}, {"ref": "simonveitner/eda-of-go-graph", "kernel_id": "38440359"}, {"ref": "simonveitner/improve-lb-with-pca", "kernel_id": "38656998"}, {"ref": "simonveitner/simple-ann-approach", "kernel_id": "38628962"}, {"ref": "simonveitner/simple-mlp", "kernel_id": "38667047"}, {"ref": "antoninadolgorukova/cafa5-train-test-supp-eda", "kernel_id": "38544149"}, {"ref": "antoninadolgorukova/cafa5-baseline-submission-with-r", "kernel_id": "38451417"}, {"ref": "antoninadolgorukova/cafa5-simple-ml-with-r-crazy-timing", "kernel_id": "38432687"}, {"ref": "antoninadolgorukova/cafa5-embeds-conversion-from-npy-reading-with-r", "kernel_id": "38999930"}, {"ref": "nekoclavis/cafa-eda", "kernel_id": "38694589"}, {"ref": "krishnanshagarwal/notebooke07f311747", "kernel_id": "38821228"}, {"ref": "krishnanshagarwal/cafa-task-2", "kernel_id": "38969423"}, {"ref": "tardism/simple-embedding-with-tensorflow", "kernel_id": "38938917"}, {"ref": "c8h11no2/cafa-5-protein-prediction", "kernel_id": "38376231"}, {"ref": "rene4315563/protein-1-1-0-training", "kernel_id": "39787446"}, {"ref": "samusram/blastp-sprof-go", "kernel_id": "39376072"}, {"ref": "alexandervc/cafa5-23-groups-and-folds-diamond-igraph", "kernel_id": "39860780"}, {"ref": "alexandervc/protein-aligners-benchmark-parasail-diamond-etc", "kernel_id": "39757895"}, {"ref": "alexandervc/cafa5-22-diamond-alignment", "kernel_id": "39694856"}, {"ref": "alexandervc/pyalign-install-problem-resolved", "kernel_id": "39640839"}, {"ref": "alexandervc/cafa5-21-prot-align-benchmark-parasail-package", "kernel_id": "39602059"}, {"ref": "alexandervc/cafa5-21-embed-beats-align-cases-src-p53", "kernel_id": "39491206"}, {"ref": "alexandervc/cafa5-20-ncbiwww-blast-biopython", "kernel_id": "39437513"}, {"ref": "alexandervc/cafa5-18-alignments-biopython-compare", "kernel_id": "39220689"}, {"ref": "alexandervc/cafa5-19-alignments-skbio", "kernel_id": "39257746"}, {"ref": "rachanabisht/cafa-comprehensive-eda", "kernel_id": "39635621"}, {"ref": "mugichaa/cafa-eda", "kernel_id": "39387861"}, {"ref": "averma111/cafa5lightning", "kernel_id": "39082719"}, {"ref": "salmaneunus/cafa-5-protein-function-prediction-v2", "kernel_id": "39952076"}, {"ref": "salmaneunus/transcription-factor-binding-site-prediction", "kernel_id": "39905577"}, {"ref": "salmaneunus/predict-binding-affinity-of-protein-ligand-systems", "kernel_id": "39681057"}, {"ref": "dplg007/cafa-5-2", "kernel_id": "39362409"}, {"ref": "dplg007/cafa-5-3-dense-layer-nn", "kernel_id": "39491741"}, {"ref": "fernandosr85/cafa-5-protein", "kernel_id": "39203973"}, {"ref": "mst8823/cafa5-esm2-fine-tuning-baseline", "kernel_id": "39700864"}, {"ref": "andreylalaley/pytorch-cafa-5-prediction", "kernel_id": "39232436"}, {"ref": "joonyoungjang/multi-input-model-with-t5-taxonomy", "kernel_id": "39292003"}, {"ref": "siddhvr/proteinet-t5-linear-convolutional", "kernel_id": "39113044"}, {"ref": "raviiloveyou/cafa-5-protein-function-prediction", "kernel_id": "39855366"}, {"ref": "stomar21/cafa5-randomforest", "kernel_id": "39168581"}, {"ref": "piquenopadawan/notebookc6436ae147", "kernel_id": "39721053"}, {"ref": "legendarygeneral268/cafa-task3-eval", "kernel_id": "39190883"}, {"ref": "benjaminschulman/cafa-5-go-terms-eda", "kernel_id": "39116911"}, {"ref": "horikitasaku/linernet-for-protein-pytorch-prott5-embeddings", "kernel_id": "39172534"}, {"ref": "lnalinaf/protein-localization-and-organism-cafa5", "kernel_id": "39064368"}, {"ref": "nekoclavis/cafa-model", "kernel_id": "39057289"}, {"ref": "krishnanshagarwal/cafa-task-3", "kernel_id": "39036953"}, {"ref": "krishnanshagarwal05/cafa-task-3", "kernel_id": "39483252"}, {"ref": "krishnanshagarwal05/hyperbandsearchcv-for-xgboost", "kernel_id": "39483263"}, {"ref": "brunollacert/multiple-lstm-protein-function-pred-beginner", "kernel_id": "39058549"}, {"ref": "anyuanay/first-eda-of-cafa-5-protein-function-data", "kernel_id": "40514307"}, {"ref": "anyuanay/wk2-baseline-multilabel-to-multitarget-binary", "kernel_id": "40543972"}, {"ref": "anyuanay/wk3-cafa-5-t5-embeds-with-cnn", "kernel_id": "40765008"}, {"ref": "samusram/leveraging-foldseek", "kernel_id": "40508554"}, {"ref": "mtinti/merge-datasets", "kernel_id": "40055144"}, {"ref": "mtinti/sprof-predictions", "kernel_id": "40047457"}, {"ref": "mtinti/split-data-2", "kernel_id": "40459311"}, {"ref": "adarshr/get-pubmed-ids-of-protein-sequences-test", "kernel_id": "40480720"}, {"ref": "ogurtsov/esm2-correct-embeds", "kernel_id": "40168886"}, {"ref": "narareddy/subontology-specific-training-approach-cafa", "kernel_id": "40125067"}, {"ref": "ancaco12/eda-of-embeddings-clustering-t5-and-ems2", "kernel_id": "40071698"}, {"ref": "alexandervc/combineembeddings", "kernel_id": "40401324"}, {"ref": "alexandervc/cafa5-features-06-07-genes-desript-onehot", "kernel_id": "40850185"}, {"ref": "alexandervc/cafa5-taxon-features-one-hot", "kernel_id": "40827206"}, {"ref": "rachanabisht/cafa-protbert-model-1-2", "kernel_id": "40533288"}, {"ref": "zmcxjt/merge-datasets", "kernel_id": "40110997"}, {"ref": "mariaminaeva/parse-proteinkg25-to-cafa-5-format", "kernel_id": "40096313"}, {"ref": "bibanh/lb-0-53171-tuning-merge-datasets-w-higher-top", "kernel_id": "40393952"}, {"ref": "robbynevels/c5-eda", "kernel_id": "40303743"}, {"ref": "robbynevels/cafa5-baseline-infer", "kernel_id": "40137046"}, {"ref": "robbynevels/cafa5-baseline-dataset", "kernel_id": "40127907"}, {"ref": "robbynevels/cafa5-baseline-model", "kernel_id": "40129000"}, {"ref": "mizaazir/gcs-path", "kernel_id": "40532033"}, {"ref": "mizaazir/cafa-train-2", "kernel_id": "40309374"}, {"ref": "santanubanerjee9/proteins-mapped-to-go-tree-tf-keras-cafa-5", "kernel_id": "40670936"}, {"ref": "maharshipandya/cafa-5-protein-function-prediction", "kernel_id": "40328866"}, {"ref": "kriukov/notebook276a7ff91f", "kernel_id": "40466101"}, {"ref": "siddhvr/cafa-5-t5-embeds", "kernel_id": "40135517"}, {"ref": "siddhvr/cafa-5-t5-embeds-ensemble", "kernel_id": "40567120"}, {"ref": "ayushs9020/re-creating-protein-neural-nets-from-scratch", "kernel_id": "40597545"}, {"ref": "ashishkumarjayswal/cafa-5-protein-function-prediction", "kernel_id": "40278067"}, {"ref": "directioner/cafa-5-one", "kernel_id": "40806747"}, {"ref": "kirilldubovik/cafa5-tuning-merge-datasets", "kernel_id": "40471038"}, {"ref": "yaram26/simple-mlp-v1", "kernel_id": "40516610"}, {"ref": "stomar21/cafa5-convolutional-neural-network", "kernel_id": "40550320"}, {"ref": "stomar21/kerastuner", "kernel_id": "40398012"}, {"ref": "stomar21/cafa5-mlp", "kernel_id": "40197408"}, {"ref": "lyalindmitriy/fresh-paper-overview-protein-function-annotation", "kernel_id": "40607490"}, {"ref": "piquenopadawan/notebook5d6e512a79", "kernel_id": "40526264"}, {"ref": "simonveitner/prepare-mean-embeddings", "kernel_id": "40287223"}, {"ref": "simonveitner/finetuning-on-2-gpus-lb-0-329", "kernel_id": "40336939"}, {"ref": "abhay005/cafa-5-protein-function-with-tensorflow", "kernel_id": "40514440"}, {"ref": "liamkell/eda-cafa5-t5-random-forest", "kernel_id": "40934446"}, {"ref": "sonyagrey/cafa5-23-groups-and-folds-diamond-igraph", "kernel_id": "40877711"}, {"ref": "sonyagrey/ridge-domains", "kernel_id": "40999280"}, {"ref": "sonyagrey/proteins-domains-cafa5-2", "kernel_id": "40023552"}, {"ref": "ashishjagdishsharma/cafa-5-protein-function-prediction", "kernel_id": "40656632"}, {"ref": "mimiqiu/notebook5654d8f5f6", "kernel_id": "40981103"}, {"ref": "nekoclavis/mlp-protbert", "kernel_id": "40665430"}, {"ref": "junglebeastds/vectorize-go-labels-cco", "kernel_id": "40979219"}, {"ref": "junglebeastds/vectorize-go-labels-mfo", "kernel_id": "40979234"}, {"ref": "pranavatote/go-protein-prediction-models", "kernel_id": "40627690"}, {"ref": "nikolenkosergei/cafa-5", "kernel_id": "40750638"}, {"ref": "dmitryshibaev/get-terms-by-ngram-statistics", "kernel_id": "40123484"}, {"ref": "krishnanshagarwal05/cafa-pred-to-submission", "kernel_id": "40289539"}, {"ref": "krishnanshagarwal05/hyperparameter-tuning-encoded-data", "kernel_id": "40203276"}, {"ref": "krishnanshagarwal05/cafa-bilstm", "kernel_id": "40805977"}, {"ref": "krishnanshagarwal05/notebooke07f311747", "kernel_id": "40800541"}, {"ref": "krishnanshagarwal05/cafa-rnn-implementation", "kernel_id": "40664270"}, {"ref": "emaadahmed/cafa-perceptron", "kernel_id": "40152323"}, {"ref": "emaadahmed/submission-uwu", "kernel_id": "40051632"}, {"ref": "kumarmukul03/protein-function-prediction-dataset", "kernel_id": "40429373"}, {"ref": "saddammansury/notebook40c302e807", "kernel_id": "40242784"}, {"ref": "sriramm2010/baseline-solution", "kernel_id": "40694965"}, {"ref": "haiiele/eda-of-cafa-5-protein-function-data-w1", "kernel_id": "40672313"}, {"ref": "n3n77i/cafa5-init", "kernel_id": "41222862"}, {"ref": "n3n77i/cafa5-fulldata", "kernel_id": "41482907"}, {"ref": "n3n77i/cafa5-fulldata-fork-266cd7-revert-seq-to-rna", "kernel_id": "41877362"}, {"ref": "matthewrenze/cafa5-attempt-1g-2000", "kernel_id": "41365366"}, {"ref": "matthewrenze/cafa5-attempt-1g-2500", "kernel_id": "41368989"}, {"ref": "matthewrenze/cafa5-attempt-1d", "kernel_id": "41215618"}, {"ref": "matthewrenze/cafa5-attempt-1f", "kernel_id": "41242614"}, {"ref": "matthewrenze/cafa5-attempt-1c", "kernel_id": "41102449"}, {"ref": "matthewrenze/cafa5-attempt-1b", "kernel_id": "41098413"}, {"ref": "matthewrenze/cafa5-attempt-2c", "kernel_id": "41778694"}, {"ref": "matthewrenze/cafa5-attempt-2a", "kernel_id": "41640220"}, {"ref": "matthewrenze/cafa5-attempt-3a", "kernel_id": "41864398"}, {"ref": "matthewrenze/cafa5-attempt-2e", "kernel_id": "41838356"}, {"ref": "matthewrenze/cafa5-attempt-2g", "kernel_id": "41861059"}, {"ref": "dustinthewind/validation-set-that-mimicks-the-evaluation-set-up", "kernel_id": "41402991"}, {"ref": "rene4315563/protein-1-2-make-predictions", "kernel_id": "41575792"}, {"ref": "rene4315563/protein-1-0-data-generation-notebook", "kernel_id": "41125187"}, {"ref": "tttzof351/torch-cafa-v0", "kernel_id": "41867632"}, {"ref": "tttzof351/train-test-cafa-v0", "kernel_id": "41864601"}, {"ref": "erotar/pytorch-keras-etc-3-blend-cafa-metric-etc-d2c9e3", "kernel_id": "41835398"}, {"ref": "erotar/pytorch-keras-etc-3-blend-cafa-metric-etc-18011b", "kernel_id": "41943004"}, {"ref": "asheller/cafe5-protein-function-with-tf-and-gpu", "kernel_id": "41136363"}, {"ref": "vinitkp/cafa-5-protein-function", "kernel_id": "41812600"}, {"ref": "alexandervc/pytorch-2-cv-focal-sophia-etc", "kernel_id": "41593410"}, {"ref": "alexandervc/pytorch-keras-etc-3-blend-cafa-metric-etc", "kernel_id": "41741291"}, {"ref": "alexandervc/pytorch-01-basics", "kernel_id": "41431924"}, {"ref": "alexandervc/cafa5-43k-models-f1", "kernel_id": "41107319"}, {"ref": "erockfirst/cafa5-attempt-2a-perf", "kernel_id": "41588097"}, {"ref": "tavoglc/encoded-labels-as-single-numpy-files", "kernel_id": "41749675"}, {"ref": "amerii/cafa-5-get-structure-databases", "kernel_id": "41173658"}, {"ref": "readoc/cafa-keras-mlp-gnn-v2", "kernel_id": "41720846"}, {"ref": "jwk323/tokenizing-cafa5-dataset", "kernel_id": "41762457"}, {"ref": "ilyasokolov/pytorch-01-basics", "kernel_id": "41570747"}, {"ref": "sebastian157/pytorch-01-basics-3a6104", "kernel_id": "41653971"}, {"ref": "sebastian157/pytorch-keras-etc-3-blend-cafa-metric-etc-877289", "kernel_id": "41892509"}, {"ref": "sebastian157/notebookd9b8516d3b", "kernel_id": "41998801"}, {"ref": "sebastian157/pytorch-keras-etc-3-blend-cafa-metric-etc-1f8461", "kernel_id": "41969486"}, {"ref": "henriupton/proteinet-v2-training-notebook", "kernel_id": "41927516"}, {"ref": "geraseva/deepgozero", "kernel_id": "41468541"}, {"ref": "cafelatte1/cafa-cosine-similarity-on-embedding-with-faiss", "kernel_id": "41140171"}, {"ref": "cafelatte1/cafa-create-dataset-for-clustering-v2", "kernel_id": "41140680"}, {"ref": "alijalali4ai/cafa5-sequence-feature-extraction-by-r-packages", "kernel_id": "41232945"}, {"ref": "suzzystranger/cafa-eda-subset-for-transfer-learning", "kernel_id": "41708982"}, {"ref": "rajatraj0502/cafa-5-protein-function-prediction", "kernel_id": "41355387"}, {"ref": "debarghachowdhury/cafa-5-protein-function-practice", "kernel_id": "41416070"}, {"ref": "likhithadurusoju/cafa-5-protein-function-with-tensorflow", "kernel_id": "41143460"}, {"ref": "siddhvr/cafa5-ems2-embeds-with-pytorch", "kernel_id": "41762715"}, {"ref": "siddhvr/cafa5-using-protbert-embeds", "kernel_id": "41348120"}, {"ref": "siddhvr/foldseek-blastp-ensemble", "kernel_id": "41078599"}, {"ref": "stasborodynkin/pytorch-cafa-5-prediction", "kernel_id": "41672808"}, {"ref": "holmes0610/cafa5-baseline", "kernel_id": "41879138"}, {"ref": "hiroshikono/create-top1000-eda-about-term-frequency", "kernel_id": "41081719"}, {"ref": "liamkell/cafa5-esm2-embed-pytorch", "kernel_id": "41964802"}, {"ref": "lidiashishina/pytorch-01-basics", "kernel_id": "41571715"}, {"ref": "lidiashishina/fork-of-pytorch-01-basics-3a6104", "kernel_id": "41764078"}, {"ref": "lidiashishina/pytorch-01-basics-3a6104", "kernel_id": "41662330"}, {"ref": "antoninadolgorukova/cafa5-predicted-terms-in-the-go-dag", "kernel_id": "41768927"}, {"ref": "lnalinaf/combineembeddings-simple-mlp", "kernel_id": "41503236"}, {"ref": "junglebeastds/cafa5-diamond-search-ultra-sensitive", "kernel_id": "41470176"}, {"ref": "mo0103/cafa-5-prediction-h-on-tensorflow", "kernel_id": "41282902"}, {"ref": "connorbost/lnn-and-cnn-for-cafa-5-challenge", "kernel_id": "41883923"}, {"ref": "ednaadissu/cafa-5-protein-function-practice", "kernel_id": "41034387"}, {"ref": "ednaadissu/the-cafa-5-protein-function-notebook", "kernel_id": "41512734"}, {"ref": "shivaiyer129/cafa-5-protein-function-prediction", "kernel_id": "41747592"}, {"ref": "mrgobus/pytorch-01-basics-49cdbc", "kernel_id": "41621749"}, {"ref": "willrankine/cafa-5-protein-function-with-tensorflow", "kernel_id": "41186378"}, {"ref": "wang0027/esm1b", "kernel_id": "41252633"}, {"ref": "n3n77i/public-cafa5-fulldata-fork-heads-ii", "kernel_id": "42334448"}, {"ref": "n3n77i/cafa5-seq-cat-cl", "kernel_id": "42449696"}, {"ref": "rene4315563/protein-1-1-1-training-esm2-3b", "kernel_id": "42110952"}, {"ref": "btbpanda/best-stack-and-leak", "kernel_id": "42204060"}, {"ref": "adarshr/train-test-generate-abstract-embeddings", "kernel_id": "42170072"}, {"ref": "erotar/notebookf4fc678f2e", "kernel_id": "42001897"}, {"ref": "erotar/pytorch-keras-etc-3-blend-cafa-metric-etc-873577", "kernel_id": "42039678"}, {"ref": "kononenko/cafa5-competition-statistics", "kernel_id": "42169251"}, {"ref": "alexandervc/cafa5-metrics-etc", "kernel_id": "42309989"}, {"ref": "alexandervc/cafa5-advanced-modelling", "kernel_id": "42117654"}, {"ref": "haithamaliryan/exploring-protein-sequence-taxonomy-and-analysis", "kernel_id": "42108505"}, {"ref": "giorgosfoukarakis/cafa5-prott5-embeddings-clustering-prediction", "kernel_id": "42230866"}, {"ref": "abhranta/merge-datasets-76", "kernel_id": "42121892"}, {"ref": "sonyagrey/domains-vs-terms", "kernel_id": "42150576"}, {"ref": "preethipoov/cafa5-protein-function-prediction-using-dnn", "kernel_id": "42307718"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "kamilla1158/pytorch-keras-etc-3-blend-cafa-metric-etc", "kernel_id": "42005285"}, {"ref": "kononenko/commonlit-ess-competition-statistics", "kernel_id": "44250858"}, {"ref": "vipin20/cafa-5-leaderboard-shakeup", "kernel_id": "45511289"}, {"ref": "donottalk/cafa-5-protein-function-prediction", "kernel_id": "47541141"}, {"ref": "salihtalhaakgn/esm2-scop-embeddings", "kernel_id": "48922711"}, {"ref": "aakras/testing-pareto-benford-and-zipf", "kernel_id": "51830744"}, {"ref": "animaxmachina/ml4pf", "kernel_id": "51652976"}, {"ref": "animaxmachina/baseline-multilabel-to-multitarget-binary", "kernel_id": "52247264"}, {"ref": "khemirisaad/cafa5-using-protbert-embeds", "kernel_id": "53930121"}, {"ref": "zhuoyangchen/cafa5-test", "kernel_id": "54728031"}, {"ref": "yashvashistha1/ci-project", "kernel_id": "54079747"}, {"ref": "dinesh1125/ci-project", "kernel_id": "54067074"}, {"ref": "dinesh1125/multi-label-protein-function-prediction", "kernel_id": "54248773"}, {"ref": "yashvashistha1/ci-project-v3", "kernel_id": "55064349"}, {"ref": "aramadamyan/cafa-5-protein-function-with-deep-neurals-networks", "kernel_id": "56429650"}, {"ref": "exjustice/deepgozero-implementation", "kernel_id": "58358326"}, {"ref": "maksimponomarenko/cafa-submission-attempt", "kernel_id": "58424583"}, {"ref": "brahimy/cafa-5-protein-function-with-tensorflow", "kernel_id": "59204976"}, {"ref": "someyamohsen/protein-prediction", "kernel_id": "61706480"}, {"ref": "isakovavm/classificator", "kernel_id": "61969423"}, {"ref": "mohamedmashhour/cafa-5-protein-function-with-tensorflow", "kernel_id": "62102747"}, {"ref": "gabrielcabas/dna-binding-prediction-using-esm", "kernel_id": "62593347"}, {"ref": "gabrielcabas/dnaprotvae", "kernel_id": "62728147"}, {"ref": "hello23981724/intelligproject", "kernel_id": "77333593"}, {"ref": "hazelngn/protein-function-prediction", "kernel_id": "78047088"}, {"ref": "craigvwang/craigv-s-protein-function-predeiction-2", "kernel_id": "79534053"}, {"ref": "xaxipirulazo/cafa5-private-test-set-discovery", "kernel_id": "83233590"}, {"ref": "lolik228/eda-on-go-terms-differences-cafa5-and-cafa6", "kernel_id": "95781246"}, {"ref": "mtinti/extracting-esm-2-embeddings", "kernel_id": "96949293"}, {"ref": "lolik228/go-terms-cafa5-and-cafa6-diff", "kernel_id": "97492094"}, {"ref": "cochranj/cafa-bioshed", "kernel_id": "97560834"}, {"ref": "jbomitchell/cafa-6-diamond-ring", "kernel_id": "98609866"}, {"ref": "aizealotwu/eda-cafa6-pfp-interactive-dags-plotly-v1", "kernel_id": "98415684"}, {"ref": "aizealotwu/a-view-of-differences-cafa5-and-cafa6", "kernel_id": "98758053"}, {"ref": "jbomitchell/cafa-5-extra-write", "kernel_id": "99989706"}, {"ref": "quangcuong/cafa-6-protein-embedding-esm2", "kernel_id": "102554401"}, {"ref": "yuanlao153/cafa6-cafa5", "kernel_id": "103812616"}, {"ref": "ngththolinh/cafa-6-using-nn", "kernel_id": "103926843"}, {"ref": "quangcuong/cafa6-protbert", "kernel_id": "103727827"}, {"ref": "antoninadolgorukova/gene-ontology-explorer-upd-python-version", "kernel_id": "104899531"}, {"ref": "omerozanmart/notebookceb4f7b32e", "kernel_id": "104114221"}, {"ref": "mziaafzal/protein-function-prediction-2", "kernel_id": "110097354"}, {"ref": "alaaelsayed22/notebook1a4b08af2d", "kernel_id": "110366637"}, {"ref": "t8101349/cafa-5-protein-function-prediction", "kernel_id": "113487513"}, {"ref": "ayushdhoble/ml-project-cafa", "kernel_id": "115345544"}, {"ref": "ayushdhoble/cafatrainer", "kernel_id": "116069419"}, {"ref": "t8101349/cafa-5-protein-function-prediction-embeddings2", "kernel_id": "116094329"}, {"ref": "t8101349/cafa-5-protein-function-prediction-embeddings", "kernel_id": "116059568"}, {"ref": "t8101349/cafa-5-protein-function-prediction-embeddings1-2", "kernel_id": "116108752"}, {"ref": "abdomazroa/notebookae3a323043", "kernel_id": "116849834"}, {"ref": "jackmazanec/notebook9d52e0e594", "kernel_id": "116122271"}, {"ref": "mazroa/notebookae3a323043", "kernel_id": "116942926"}, {"ref": "mazroa/full-embedding-all-model", "kernel_id": "116975955"}, {"ref": "t8101349/cafa-5-protein-function-prediction-test-embed", "kernel_id": "117112920"}, {"ref": "t8101349/cafa-5-protein-function-prediction-baseline", "kernel_id": "117650631"}, {"ref": "abdomazroa/full-model-until-gnn", "kernel_id": "117036659"}, {"ref": "abdomazroa/version", "kernel_id": "117599823"}, {"ref": "mazroa/notebookc0f92c56e8", "kernel_id": "117035740"}, {"ref": "gqluoqing/cafa-5-protein-function-with-tensorflow", "kernel_id": "120116150"}, {"ref": "mazroa/notebook4be7a3e72f", "kernel_id": "120117111"}, {"ref": "sanjayashrestha123/working-with-cafa-dataset", "kernel_id": "122069990"}, {"ref": "t8101349/cafa5-protein-function-dag", "kernel_id": "124633570"}, {"ref": "t8101349/cafa5-protein-function-enssemble", "kernel_id": "125191471"}, {"ref": "pradippokhrel77/checking-missing-alpha-fold", "kernel_id": "125064817"}, {"ref": "pradippokhrel77/cafa-5-alpha-fold-datasets-extraction-2", "kernel_id": "125667372"}, {"ref": "rohandhakal1/tsv-file-generation", "kernel_id": "126905999"}, {"ref": "deepshrestha/blast-knn-cafa-5", "kernel_id": "127897481"}, {"ref": "rohandhakal1/model-save", "kernel_id": "127750240"}, {"ref": "behrouzmirabdi/merged-cafa5-cafa6-train-datasets", "kernel_id": "128671737"}, {"ref": "hxm1215/cafa5-esm2-fine-tuning-baseline-8437f7", "kernel_id": "130712096"}]}
{"competition_id": "41879", "kernels": [{"ref": "kalelpark/hey-kaggler-merry-christmas-see-christmas-tree", "kernel_id": "22993234"}, {"ref": "cv13j0/starter-notebook", "kernel_id": "32957313"}, {"ref": "raresbarbantan/view-santa-2022-submission", "kernel_id": "32912329"}, {"ref": "nicupetridean/further-analysis-of-costs-points-ordering", "kernel_id": "32954712"}, {"ref": "ryanholbrook/getting-started-with-santa-2022", "kernel_id": "32814317"}, {"ref": "alicecoyne/santa", "kernel_id": "32912881"}, {"ref": "jazivxt/tsp-cost-function-start", "kernel_id": "32962000"}, {"ref": "mpwolke/12-days-of-xmas-6-geese-and-a-bot-hand", "kernel_id": "32908455"}, {"ref": "saitodevel01/santa2022-submission-validation", "kernel_id": "32921970"}, {"ref": "aminakhan/eda-and-data-analysis-for-santa-2022", "kernel_id": "32943727"}, {"ref": "ashokkumargarain/notebook096a4858e6", "kernel_id": "32934407"}, {"ref": "ashokkumargarain/notebookd5bc90e5dd", "kernel_id": "32998170"}, {"ref": "idoikar/arm-gifs", "kernel_id": "32991262"}, {"ref": "cnumber/lower-bound-using-minimum-spanning-tree", "kernel_id": "32964621"}, {"ref": "crodoc/82409-improved-baseline-santa-2022", "kernel_id": "32915088"}, {"ref": "asalhi/tsp-cost-function-start-compress-path-split", "kernel_id": "32978606"}, {"ref": "rsiva1104/santa-2022-analysis-model-84727-29167", "kernel_id": "32934547"}, {"ref": "rsiva1104/eda-data-analysis-of-santa-2022", "kernel_id": "32897016"}, {"ref": "n3n77i/3-santa-csv", "kernel_id": "33079611"}, {"ref": "fx6300/santa-2022-or-tools-k-means-and-cp-sat", "kernel_id": "33809094"}, {"ref": "taffeylewis/for-fun-average-color-costs", "kernel_id": "33242467"}, {"ref": "habedi/local-search-with-gpu-parallelization", "kernel_id": "33297150"}, {"ref": "habedi/path-finding-using-space-filling-curves", "kernel_id": "33195866"}, {"ref": "wkirgsn/fast-cost-function-calculation", "kernel_id": "33177750"}, {"ref": "shams1/santa", "kernel_id": "33421853"}, {"ref": "quangtiencs/julia-implementation-for-quick-start-santa-2022", "kernel_id": "33590001"}, {"ref": "siukeitin/santa-2022-exact-solution-to-the-2-link-arm-case", "kernel_id": "33399354"}, {"ref": "thachhoang2410/first-try-on-reinforcement-learning-approach", "kernel_id": "33740148"}, {"ref": "jaewook704/greedy-search-hill-climbing-random-explore", "kernel_id": "33106585"}, {"ref": "hocop1/baseline-but-faster", "kernel_id": "33115285"}, {"ref": "pkorobov/pixel-travel-map-rotate-more-links", "kernel_id": "33535209"}, {"ref": "sgreiner/pixel-travel-map-compress-no-lkh", "kernel_id": "33400793"}, {"ref": "sgreiner/pixel-travel-map-removing-duplicates", "kernel_id": "33489662"}, {"ref": "sgreiner/pixel-travel-map-path-compression", "kernel_id": "33462437"}, {"ref": "vinitkp/santa-2022", "kernel_id": "33740238"}, {"ref": "vinitkp/getting-started-with-santa-2022", "kernel_id": "33738574"}, {"ref": "elvenmonk/manual-submission-builder", "kernel_id": "33710750"}, {"ref": "elvenmonk/santa-2022-lower-bound-approximation-73078", "kernel_id": "33040351"}, {"ref": "stpeteishii/check-neighbors-and-uncompleted-positions", "kernel_id": "33601382"}, {"ref": "stpeteishii/santa-2022-trace-arm-position", "kernel_id": "33155496"}, {"ref": "stpeteishii/santa-2022-trace-arm-link-positions", "kernel_id": "33189056"}, {"ref": "stpeteishii/santa-2022-scatter-plot", "kernel_id": "33022090"}, {"ref": "snufkin77/further-point-order-improvements-tsp-start", "kernel_id": "33005398"}, {"ref": "oxzplvifi/pixel-travel-map", "kernel_id": "33387787"}, {"ref": "saraswatitiwari/santa-2022-the-christmas-card-conundrum", "kernel_id": "33311920"}, {"ref": "alyonamakarova/path-animation", "kernel_id": "33101648"}, {"ref": "satyanarayanam/pixel-travel-map-removing-duplicates", "kernel_id": "33573481"}, {"ref": "ridwanultanvir/santa-2022-numba-local-search", "kernel_id": "33573923"}, {"ref": "ashokkumargarain/notebook2ed2298c2d", "kernel_id": "33802246"}, {"ref": "calvchen/more-rotate-and-more-constaint", "kernel_id": "33652759"}, {"ref": "nadhirhasan/ddqn-lstm-reinforcement-learning", "kernel_id": "33924262"}, {"ref": "jacobyjaeger/plotting-configuration-density", "kernel_id": "33102242"}, {"ref": "udeshchathumal/minspan-tree", "kernel_id": "33797383"}, {"ref": "noir3747/santa-competition-79294-38647", "kernel_id": "33541135"}, {"ref": "royalacecat/a-little-improvement", "kernel_id": "33678008"}, {"ref": "ambrosm/santa22-the-recipe-for-getting-below-76000", "kernel_id": "33751919"}, {"ref": "satyaprakashshukl/santa-december", "kernel_id": "33016796"}, {"ref": "sfktrkl/santa-2022", "kernel_id": "33037171"}, {"ref": "patimejia/roboarm-competition-finding-the-shortest-path", "kernel_id": "33279640"}, {"ref": "mr0106/stccc", "kernel_id": "33009139"}, {"ref": "griffh/santa-eda-about-color", "kernel_id": "33170175"}, {"ref": "cashfeg/lkh-mod-hand-try9", "kernel_id": "34118176"}, {"ref": "cashfeg/fork-of-santa2022-arm-by-hand", "kernel_id": "34214688"}, {"ref": "cashfeg/fork-of-lkh-mod-hand-try9", "kernel_id": "34218212"}, {"ref": "cashfeg/visualize-tours-by-the-professors", "kernel_id": "34483489"}, {"ref": "pavelvod/santa-circular-solution", "kernel_id": "34275150"}, {"ref": "vitalykudelya/simple-optimization-of-zigzag-moves-for-77200", "kernel_id": "34014920"}, {"ref": "wkirgsn/proximal-policy-optimization-rl", "kernel_id": "34009950"}, {"ref": "nyleve/soln-57-santa22-local-optimization-38ce16", "kernel_id": "34252136"}, {"ref": "khahuras/arm-breakers-solution", "kernel_id": "34177316"}, {"ref": "nagiss/4th-place-solution", "kernel_id": "34167433"}, {"ref": "stpeteishii/trace-arm-link-positions-and-neighbor-end", "kernel_id": "34010037"}, {"ref": "stpeteishii/trace-arm-link-positions-and-neighbor-links", "kernel_id": "34056795"}, {"ref": "kotaiizuka/standard-configuration-below-74300", "kernel_id": "34227152"}, {"ref": "fujiwararyo/santa2022-gif-visualization-of-a-submission-file", "kernel_id": "34223401"}, {"ref": "taanieluleksin/modified-standard-configuration-with-lkh-60th", "kernel_id": "34148700"}, {"ref": "ambrosm/santa22-local-optimization", "kernel_id": "34002221"}, {"ref": "setcha/numba-4-opt-solution", "kernel_id": "35009884"}, {"ref": "eslamfouad/santa-2022-mlm-prediction", "kernel_id": "35811252"}, {"ref": "kotaiizuka/santa2022-solutions-visualizer", "kernel_id": "38536202"}, {"ref": "mpwolke/drawings-by-victor-griffh-c-number", "kernel_id": "40610339"}, {"ref": "gopalakrishnanamsha/santa-tree-drawing-2024", "kernel_id": "73558384"}, {"ref": "suhailab/mst-on-image-fast-csr-knn-graph-fork", "kernel_id": "89519752"}, {"ref": "mytravelmoments/notebook7d24f5f56e", "kernel_id": "102274109"}]}
{"competition_id": "41880", "kernels": [{"ref": "kretes/eda-distributions-of-acc-w-r-t-event-type", "kernel_id": "35875647"}, {"ref": "kretes/eda-task-valid-columns-in-tdcsfog", "kernel_id": "35896060"}, {"ref": "mayukh18/copy-train-metadata", "kernel_id": "35901693"}, {"ref": "quincyqiang/read-train-files-faster", "kernel_id": "35934379"}, {"ref": "elenasg/fog-data-overview", "kernel_id": "35861497"}, {"ref": "docxian/parkinson-fog-acceleration-visualization", "kernel_id": "35885526"}, {"ref": "lcmjlo/eda-parkinsons-freezing-gait-acceleronmeter", "kernel_id": "35902624"}, {"ref": "kimtaehun/simple-lgbm-multi-class-classification-baseline", "kernel_id": "35913297"}, {"ref": "jazivxt/familiar-solvs", "kernel_id": "35857993"}, {"ref": "mpwolke/back-to-the-future-opening-csvs", "kernel_id": "35887394"}, {"ref": "mpwolke/freezing-of-gait-fog", "kernel_id": "35861464"}, {"ref": "averma111/simplified-parkinson-s-fog-prediction-beta", "kernel_id": "35909900"}, {"ref": "dinowun/eda-simplified-parkinson-s-fog-prediction", "kernel_id": "35883824"}, {"ref": "leonidkulyk/eda-pfogp-interactive-visualisations", "kernel_id": "35858806"}, {"ref": "benjenkins96/exploratory-data-statistical-analysis", "kernel_id": "35864604"}, {"ref": "vibh111/fog-eda", "kernel_id": "35965971"}, {"ref": "dongkeunbak/eda-feature-engineering-summary-of-domain-info", "kernel_id": "35863608"}, {"ref": "nicolechong/eda-pandasprofiling-tsfresh-feature-extraction", "kernel_id": "35929312"}, {"ref": "ravishah1/parkinson-s-fog-accelerometer-data-eda", "kernel_id": "35900338"}, {"ref": "alfredmotladile/fog-prediction", "kernel_id": "35886065"}, {"ref": "satyaprakashshukl/simple-eda-parkinsons", "kernel_id": "35867997"}, {"ref": "ghrangel/read-data-and-merge", "kernel_id": "35869515"}, {"ref": "mohdmuttalib/parkinson-s-freezing-of-gait-prediction-eda", "kernel_id": "35874355"}, {"ref": "sanandachowdhury/eda-pfogp-interactive-visualisations", "kernel_id": "35885896"}, {"ref": "brunojedynak/dr-bruno-s-visualization-of-acceleration-signal", "kernel_id": "36605965"}, {"ref": "mayukh18/pytorch-fog-end-to-end-baseline-lb-0-254", "kernel_id": "36120951"}, {"ref": "xzj19013742/groupkfold-cross-validation-tsflex", "kernel_id": "36200235"}, {"ref": "xzj19013742/fast-lgbm-groupkfold-tsflex-memory-optimization", "kernel_id": "36487557"}, {"ref": "parksu92/subject-information", "kernel_id": "36505662"}, {"ref": "sireesh/fog-lab1", "kernel_id": "36193109"}, {"ref": "noam1977/simple-test", "kernel_id": "36188824"}, {"ref": "coderrkj/parkinson-fog-pred-tf-transformer-model", "kernel_id": "36461241"}, {"ref": "coderrkj/parkinson-fog-pred-conv1d-separate-tf-model", "kernel_id": "36828258"}, {"ref": "neharawat/parkinson-fog-eda-v1", "kernel_id": "36421034"}, {"ref": "suneetsaini/pfgp-fog-pred-conv1d-tf-model", "kernel_id": "36902857"}, {"ref": "tanreinama/starter-kit-ridgeregressor-baseline", "kernel_id": "36088048"}, {"ref": "viji1609/fog-prediction-data-visualization-tfdv", "kernel_id": "36290725"}, {"ref": "avivlevi815/metadata-eda", "kernel_id": "36211096"}, {"ref": "itsuki9180/34th-place-solution", "kernel_id": "36891346"}, {"ref": "lbsbmsu/parkinson-s-freezing-r", "kernel_id": "36219683"}, {"ref": "rishabsinghh/gait-lgbm-eda-feature-eng-modelling", "kernel_id": "36203106"}, {"ref": "josephreid/exploratory-analysis-of-tdcs-fog", "kernel_id": "36868807"}, {"ref": "animadurkar/multiclass-xgboost-with-hyperopt-and-tsflex", "kernel_id": "36340525"}, {"ref": "andradaolteanu/freezingofgate-xgboost-multiclass-with-rapids", "kernel_id": "36115280"}, {"ref": "jeroenvdd/time-series-tsflex", "kernel_id": "36074834"}, {"ref": "dongkeunbak/pytorch-basic-starter-code-fog-with-lstm", "kernel_id": "36129761"}, {"ref": "backpack30/notebookdfc5704c4f", "kernel_id": "36697774"}, {"ref": "joshualancaster/freezing-gait-eda", "kernel_id": "36251388"}, {"ref": "turatsinzejunior/junior-a1f1c76f63", "kernel_id": "36314041"}, {"ref": "ammarnassanalhajali/freezing-of-gait-prediction", "kernel_id": "36031706"}, {"ref": "henriupton/pytorch-lstm-fog-detection", "kernel_id": "36509966"}, {"ref": "collinsakal/fog-eda", "kernel_id": "36420104"}, {"ref": "dubito/eda-by-momo", "kernel_id": "36572541"}, {"ref": "bernardbr/lgbm-with-hyperparams-and-tsflex-lb-0-28", "kernel_id": "36618588"}, {"ref": "gokifujiya/pd-fog-prediction-baseline-by-logistic-regression", "kernel_id": "36844193"}, {"ref": "ghrangel/gait-peak-detect", "kernel_id": "36076174"}, {"ref": "user182827/vector-mode-analysis", "kernel_id": "36616421"}, {"ref": "samuelzxu/eda-time-series-event-plotting", "kernel_id": "36851952"}, {"ref": "tayfungrlevik/filter-acc-data", "kernel_id": "36315413"}, {"ref": "vidushimangal/parkinson-competiton-notebook-1", "kernel_id": "36509173"}, {"ref": "caioesqueletron/parkinson-s-freezing-of-gait-prediction-caio", "kernel_id": "36304299"}, {"ref": "archishmanbiswas2000/time-series-visualization", "kernel_id": "36435955"}, {"ref": "devesh6388/parkinson-s-pridiction", "kernel_id": "36309055"}, {"ref": "mathewsarti/parkinson-fog-prediction", "kernel_id": "36532487"}, {"ref": "vmonika461/freezing-of-gait-fog", "kernel_id": "36459682"}, {"ref": "roncam/fog-fog", "kernel_id": "36984786"}, {"ref": "kirstinsylvester/subsetting-code", "kernel_id": "36931942"}, {"ref": "dishaasinghi/fog-prediction", "kernel_id": "36793683"}, {"ref": "debauchcasanova/parkinson-model", "kernel_id": "36308242"}, {"ref": "gabys1/notebook6c12e6fe9b", "kernel_id": "36981366"}, {"ref": "ashtonfrias/gait-prediction", "kernel_id": "36720310"}, {"ref": "zacharypainter5/painter-ml-comp", "kernel_id": "36906060"}, {"ref": "shukawabata/visualization-highlighting-event", "kernel_id": "36310189"}, {"ref": "vickyhaney/notype-data-visualization", "kernel_id": "36909611"}, {"ref": "xzj19013742/simple-eda-on-time-for-targets", "kernel_id": "37027839"}, {"ref": "shams1/freezing", "kernel_id": "37782939"}, {"ref": "roger92/the-easiest-way-to-learn-about-map", "kernel_id": "37441246"}, {"ref": "roger92/fog-eda-dataset-relationship", "kernel_id": "37231069"}, {"ref": "lindseydebeer/mlip-lindsey-lgbm-baseline", "kernel_id": "37857261"}, {"ref": "xarisot/fog-predict", "kernel_id": "37663717"}, {"ref": "averma111/simple-pk-fog", "kernel_id": "37022625"}, {"ref": "juandag97/initial-eda", "kernel_id": "37388422"}, {"ref": "josepharivera/parkinson-s-fog-ml-comp-rivera", "kernel_id": "37335007"}, {"ref": "josepharivera/pd-fog-ml-class-xgboost-rivera", "kernel_id": "37520902"}, {"ref": "hiroakifukuse/pfogp-correct-defog-data-discrepancies", "kernel_id": "37776128"}, {"ref": "ridwanultanvir/parkinsons-time-series-processing-tsflex", "kernel_id": "37299468"}, {"ref": "tomonorisasaki/comprehensive-eda-and-data-visualization", "kernel_id": "37677239"}, {"ref": "aparnaburhade/parkinson-s-freezing-gait", "kernel_id": "37310289"}, {"ref": "dataanalojisan/super-simple-baseline", "kernel_id": "37388085"}, {"ref": "dataanalojisan/visualizing-acceleration-in-defog-data-by-task", "kernel_id": "37350730"}, {"ref": "dataanalojisan/parkinson-s-fog-eda", "kernel_id": "37157680"}, {"ref": "steffendejong/data-exploration", "kernel_id": "37856761"}, {"ref": "mahadali/gait-prediction", "kernel_id": "37326388"}, {"ref": "shuddhendumishra/parkinson-s", "kernel_id": "37308484"}, {"ref": "qiyangwang/notebook04137102db", "kernel_id": "37844990"}, {"ref": "addictedby/notebook5307c2da99", "kernel_id": "37978735"}, {"ref": "travismerrill/rtmsubmission", "kernel_id": "37229669"}, {"ref": "ashlynncrisp/notebookad312fa2f1", "kernel_id": "37135556"}, {"ref": "jamilahsan/gait-prediction", "kernel_id": "37141138"}, {"ref": "pitpkag/notebookc6f0fe3990", "kernel_id": "37855723"}, {"ref": "nathanieltrobough/beginningeda", "kernel_id": "37093434"}, {"ref": "uknowae/eda-function-for-fog-visualisation", "kernel_id": "37634603"}, {"ref": "zhaoningericwang/cap5610-comp", "kernel_id": "37311104"}, {"ref": "zhaoningericwang/cap5610-competition", "kernel_id": "37305442"}, {"ref": "averkovanika/parkinson-s-fog-basic-eda", "kernel_id": "37983137"}, {"ref": "urizlotkin/parkinson-fog", "kernel_id": "37944841"}, {"ref": "ajax96/fog-challenge", "kernel_id": "37374321"}, {"ref": "kirstinsylvester/pytorch-sklearn-combo", "kernel_id": "37007906"}, {"ref": "donottalk/data-experiment-eda-and-two-models-fog-vs-age", "kernel_id": "37318383"}, {"ref": "donottalk/prediction-beginning-and-end-of-each-fog-episode", "kernel_id": "37425930"}, {"ref": "bacharacherif/eda-descripts-pd-weigted", "kernel_id": "37163153"}, {"ref": "cherrytomatech/dummy-zero-submission-for-kaggle-beginners", "kernel_id": "37204408"}, {"ref": "ashtonfrias/gait-prediction-part-2", "kernel_id": "37329902"}, {"ref": "ashtonfrias/fork-of-gait-prediction-9f52eb", "kernel_id": "37348442"}, {"ref": "ashtonfrias/gait-prediction-part-3", "kernel_id": "37470423"}, {"ref": "stephstoll/ss-parkinson-s-freezing-of-gait-prediction", "kernel_id": "37261887"}, {"ref": "stephstoll/stoll-parkinson-s-freezing-of-gait-prediction", "kernel_id": "37515499"}, {"ref": "bstricks/notebook7336770522", "kernel_id": "37259952"}, {"ref": "bstricks/notebook6ad087f10b", "kernel_id": "37269930"}, {"ref": "jamiebot/notebook0885db2925", "kernel_id": "37521761"}, {"ref": "vinnyr12/vinny-fog-ml-competition", "kernel_id": "37339129"}, {"ref": "albertoannoni/parallel-data-loading", "kernel_id": "37408399"}, {"ref": "albertoannoni/keras-template", "kernel_id": "37512015"}, {"ref": "dustysice/parkinson-s-fog-submission", "kernel_id": "37636038"}, {"ref": "lingduowang/feature-importance-visualize-in-lgbm", "kernel_id": "37308284"}, {"ref": "kcliu2000/check-fog", "kernel_id": "37660010"}, {"ref": "harelmoshayof/deep-learning-cnn", "kernel_id": "37819506"}, {"ref": "trangnguyenpsu/learningpython", "kernel_id": "37380456"}, {"ref": "briansss/notebookec37cdb5ea", "kernel_id": "37271145"}, {"ref": "chancem/comp-test", "kernel_id": "37338266"}, {"ref": "nickcgray/gait-prediction", "kernel_id": "37433410"}, {"ref": "qianqianjin606/parkinson-xgboost", "kernel_id": "37511416"}, {"ref": "qianqianjin606/0420-parkinson", "kernel_id": "37515298"}, {"ref": "josephriv1/pd-fog-ml-class-xgboost-rivera", "kernel_id": "37526587"}, {"ref": "reneeschmidt/parkinsons-line-plots-data-vis-color-by-action", "kernel_id": "38169882"}, {"ref": "reneeschmidt/visualize-segments-of-timeseries", "kernel_id": "38133940"}, {"ref": "zinxira/parkinson-fog-pred-4th-place-submission-notebook", "kernel_id": "38770804"}, {"ref": "ismailgadzhiev/createdataset", "kernel_id": "38767378"}, {"ref": "inabower/eda-parkinson-s-fog-overview-jpn", "kernel_id": "38118303"}, {"ref": "rachanabisht/parkinson-eda", "kernel_id": "38147837"}, {"ref": "tinatuna/polars-parkinson-s-fog-simple-lightgbm", "kernel_id": "38762765"}, {"ref": "lindseydebeer/mlip-lgbm-with-polynomial-features", "kernel_id": "38764787"}, {"ref": "venaabdallah/lstm-gait-classifier", "kernel_id": "38773900"}, {"ref": "varolia/basic-eda", "kernel_id": "38514333"}, {"ref": "hidebu/eda-of-parkinson-s-fog", "kernel_id": "38437708"}, {"ref": "hidebu/investigation-of-feature-engineering-defog", "kernel_id": "38571867"}, {"ref": "hidebu/eda-of-task-subjects-data-metadata", "kernel_id": "38572005"}, {"ref": "hidebu/investigation-of-feature-engineering-tdcsfog", "kernel_id": "38786759"}, {"ref": "williammcintoshpdx/utilityfogrectangulardataset", "kernel_id": "38088048"}, {"ref": "williammcintoshpdx/wills-notebook-fog-rect-object-and-time-series", "kernel_id": "38092591"}, {"ref": "amoghratan/parkinson-s-freezing-of-gait-prediction-arc", "kernel_id": "38762671"}, {"ref": "ytl0623/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "38679691"}, {"ref": "sx66998756/gait-prediction", "kernel_id": "38112628"}, {"ref": "sx66998756/gait-prediction-part-2", "kernel_id": "38111947"}, {"ref": "sx66998756/time-series-tsflex", "kernel_id": "38111279"}, {"ref": "bryanasmat/notebookc3807d84c8", "kernel_id": "38214598"}, {"ref": "eslamfouad/iot-data-modeling-full-deployment", "kernel_id": "38799947"}, {"ref": "eslamfouad/parkinson-fog-pred-conv1d-separate-tf-model", "kernel_id": "38799966"}, {"ref": "dubito/momo-01", "kernel_id": "38477902"}, {"ref": "linyenyu/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "38638263"}, {"ref": "gokifujiya/pd-fog-prediction-baseline-by-random-forest", "kernel_id": "38194015"}, {"ref": "tsaichiahsiang/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "38945056"}, {"ref": "thilanidelpagoda/pd-fog-xgb-td", "kernel_id": "38862548"}, {"ref": "tomaskalabis/fog-1d-cnn", "kernel_id": "38394478"}, {"ref": "ahmedabdelhamied2501/using-calibrated-lgmbclassifier", "kernel_id": "38477141"}, {"ref": "suvarnayandapalli/parkinson-s-freezing-of-gait-prediction", "kernel_id": "38839239"}, {"ref": "alittlebitsad/notebook421acb4e9b", "kernel_id": "38693712"}, {"ref": "qiteng/dnn-parkinson-s-freezing-of-gait-prediction", "kernel_id": "38187309"}, {"ref": "qiteng/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "38883324"}, {"ref": "lyalindmitriy/paper-overview-ml-methods-for-parkinson-s-disease", "kernel_id": "38505077"}, {"ref": "catandoscal/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "38808116"}, {"ref": "averkovanika/parkinson-s-tasks-analysis-w-feature-extraction", "kernel_id": "38567645"}, {"ref": "averkovanika/mutual-information-feature-selection", "kernel_id": "38222956"}, {"ref": "khalilmhajne1/hw2-khalil", "kernel_id": "38257405"}, {"ref": "donottalk/motor-and-non-motor-symptoms-in-parkinson-s-diseas", "kernel_id": "38844628"}, {"ref": "donottalk/ml-to-detect-fog-episodes-type", "kernel_id": "38638108"}, {"ref": "donottalk/eda-parkinson", "kernel_id": "38396051"}, {"ref": "wengjiahuang/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "38376598"}, {"ref": "konstantinsamolinov/tdcsfog-defog-compare", "kernel_id": "38384159"}, {"ref": "dmiitroamelin/daily-unsupervised-learning", "kernel_id": "38723782"}, {"ref": "alexanderskachkov/fog-f-for-forest", "kernel_id": "38605501"}, {"ref": "pfgkazundo/temp-conv-net-2", "kernel_id": "38271199"}, {"ref": "samfouad/parkinson-s-freezing-of-gait-prediction-eda", "kernel_id": "38226516"}, {"ref": "whiteeyeyan/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "38673331"}, {"ref": "stanvissers/unet-for-gait-prediction", "kernel_id": "38430418"}, {"ref": "diegofalconc/pytorch-fog-end-to-end-baseline", "kernel_id": "38286240"}, {"ref": "mikhailseregin2309/pd-fog-look-at-accv-accml-and-accp", "kernel_id": "38766722"}, {"ref": "christianjschneider/fog-training-lgb", "kernel_id": "38915070"}, {"ref": "denizakagane/parkinson-s-fog-random-forest", "kernel_id": "38913549"}, {"ref": "vrbaryshev/locating-steps-wavelets-step-rate-feature", "kernel_id": "38840536"}, {"ref": "vladimirpodolnyy/eda-the-effect-of-medication-on-assessment-test", "kernel_id": "38639976"}, {"ref": "dmitryshibaev/fog-cnn-simple", "kernel_id": "38482854"}, {"ref": "boxiulin/611410089-proj5-v1", "kernel_id": "38649472"}, {"ref": "kennyccuml/611430027hw5", "kernel_id": "38776375"}, {"ref": "angus0826/ml-hw-5", "kernel_id": "38833172"}, {"ref": "angus0826/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "38893488"}, {"ref": "takoihiraokazu/cv-ensemble-sub-0607-1", "kernel_id": "39589728"}, {"ref": "adityakumarsinha/wavenet-subm-focal-v1", "kernel_id": "39546670"}, {"ref": "adityakumarsinha/gait-openvion-bunch-v2", "kernel_id": "39632710"}, {"ref": "adityakumarsinha/wavenet-subm-focal-v2", "kernel_id": "39825620"}, {"ref": "ernestglukhov/practicum-final-1d-cnn-solution", "kernel_id": "39789221"}, {"ref": "ernestglukhov/parkinson-s-fog-prediction-by-practicum", "kernel_id": "39790813"}, {"ref": "ernestglukhov/practicum-cnn-skeleton", "kernel_id": "39202798"}, {"ref": "gpreda/gait-prediction-v16-0-31", "kernel_id": "39667293"}, {"ref": "roger92/eda-proc-try-to-denoise-the-data", "kernel_id": "39007497"}, {"ref": "srikar8/parkinsonfreezingofgaitprediction", "kernel_id": "39289315"}, {"ref": "ludovicoristori/screwing-good-notebooks", "kernel_id": "39016483"}, {"ref": "abrachan/exploratory-data-analysis", "kernel_id": "39612657"}, {"ref": "abrachan/tf-keras-conv1d-nn-training-inference", "kernel_id": "39753583"}, {"ref": "mahmudds/freezing-of-gait-prediction", "kernel_id": "39301519"}, {"ref": "avivlevi815/submit-bagging-v9", "kernel_id": "39198428"}, {"ref": "takanashihumbert/gait-single-models-inference", "kernel_id": "39092643"}, {"ref": "mrt0933/keras-lstm-trained-by-all-labeled-data", "kernel_id": "39747135"}, {"ref": "vladiluzjr/parkinson-s-fog-eda-and-model-submission", "kernel_id": "39511701"}, {"ref": "bimal0007/fog-model-final", "kernel_id": "39420759"}, {"ref": "venaabdallah/xgb-gait-classifier", "kernel_id": "39054933"}, {"ref": "jsday96/parkinsons-overlapping-se-unet-frequency-domain", "kernel_id": "39620578"}, {"ref": "cubadima/lab2-v1", "kernel_id": "39743142"}, {"ref": "williammcintoshpdx/fog-final-project", "kernel_id": "39895881"}, {"ref": "steffendejong/feature-selection-svm", "kernel_id": "39694961"}, {"ref": "cameronpresley/parkinsons-fog-eda-and-rf-classifier-prediction", "kernel_id": "39673181"}, {"ref": "fritzcremer/fog-shakeup", "kernel_id": "39727232"}, {"ref": "ceyhunsahin/eda-hypotesis-tests-and-optuna", "kernel_id": "39225009"}, {"ref": "baurzhanurazalinov/parkinson-s-freezing-defog-training-code", "kernel_id": "39902408"}, {"ref": "baurzhanurazalinov/parkinson-s-freezing-tdcsfog-training-code", "kernel_id": "39902000"}, {"ref": "baurzhanurazalinov/parkinson-s-freezing-submission-code", "kernel_id": "39901174"}, {"ref": "abhhom/defog-ensemble-data-train", "kernel_id": "39552778"}, {"ref": "soonmooksimonlee/slee-hmm-under1", "kernel_id": "39115008"}, {"ref": "soonmooksimonlee/slee-logistic-over2", "kernel_id": "39196366"}, {"ref": "annaplieva/notebookc617d60f50", "kernel_id": "39271090"}, {"ref": "stochoshi/fork-of-walk3", "kernel_id": "39722846"}, {"ref": "arpitytlinux/notebook825718bcbb", "kernel_id": "39378079"}, {"ref": "natayakusheva/weigh-it-but-through-regression", "kernel_id": "39281696"}, {"ref": "abandura/fog-1d-cnn", "kernel_id": "39881026"}, {"ref": "konstantinsamolinov/support-vector-machine-for-fog-prediction", "kernel_id": "39176092"}, {"ref": "konstantinsamolinov/to-concatenate-or-not-to-concatenate", "kernel_id": "39167972"}, {"ref": "evgeniidvornikov/catboost-vs-lightgbm-vs-xgboost", "kernel_id": "39809251"}, {"ref": "albertoannoni/umap-dataset-visualization", "kernel_id": "39004597"}, {"ref": "kabikabi0208/gait-prediction", "kernel_id": "39525999"}, {"ref": "allenwpr/gait-prediction", "kernel_id": "39004408"}, {"ref": "larszandbergen/svm-notebook", "kernel_id": "39746193"}, {"ref": "simonreichert/regressor-averaging-ensemble-prediction", "kernel_id": "39704406"}, {"ref": "simonreichert/data-preprocessing-feature-extraction-and-ensembl", "kernel_id": "39449948"}, {"ref": "teunpeeters/pytorch-lstm-fog-detection", "kernel_id": "39362636"}, {"ref": "teunpeeters/lstm-with-rolling-window", "kernel_id": "39544636"}, {"ref": "awhvzero/pd-fog-prediction-by-xgboost-proba-9e0408", "kernel_id": "39889476"}, {"ref": "awhvzero/pd-fog-prediction-baseline-by-adaboost-7fd509", "kernel_id": "39889511"}, {"ref": "nkl990/notebook1ec376a28f", "kernel_id": "39208661"}, {"ref": "cosiiine/gait-prediction-f5ad09", "kernel_id": "39702319"}, {"ref": "kkinnjo/fork-of-lstm-team5-juho-jiyoung", "kernel_id": "39752608"}, {"ref": "adityakumarsinha/wavenet-subm-focal-v1-1", "kernel_id": "40165782"}, {"ref": "adityakumarsinha/unlabeled-data-creation", "kernel_id": "40166468"}, {"ref": "adityakumarsinha/wavenet-2000-v6-public", "kernel_id": "40166774"}, {"ref": "adityakumarsinha/pretrain-wavenet-4096-v1", "kernel_id": "40166959"}, {"ref": "adityakumarsinha/wavenet-2000-from-pretrain", "kernel_id": "40167259"}, {"ref": "adityakumarsinha/wavenet-4096-v6", "kernel_id": "40129390"}, {"ref": "adityakumarsinha/data-creation-v1", "kernel_id": "40126535"}, {"ref": "abrachan/parkinson-fog-prediction-torch-gru", "kernel_id": "40621890"}, {"ref": "charmq/fog-fold-0-inference", "kernel_id": "40692937"}, {"ref": "rohitdileep/fork-of-freezing-of-gait-lgbm", "kernel_id": "40270769"}, {"ref": "ahmedmostafa2000/parkinson-s2l", "kernel_id": "40124537"}, {"ref": "artyompyanzin/od-submit", "kernel_id": "40135000"}, {"ref": "madhubalabishnoi/pin-to-original-environment-2023-05-24-parkins", "kernel_id": "40938814"}, {"ref": "aysekosal/parkinson-s-freezing-of-gait-prediction-rf", "kernel_id": "40813199"}, {"ref": "aysekosal/parkinson-s-freezing-of-gait-detection-lgbm", "kernel_id": "40737254"}, {"ref": "stochoshi/fork-of-fork-of-walk3", "kernel_id": "41239962"}, {"ref": "hadisraad/towards-parkinson-s-freezing-of-gait-prediction", "kernel_id": "41106940"}, {"ref": "aysekosal/undersampling-full-fog-catboost-lightgbm-xgboost", "kernel_id": "42323961"}, {"ref": "aysekosal/parkinson-s-fog-detection-rf-model", "kernel_id": "42324498"}, {"ref": "radhakrishnanrajan/towards-parkinson-s-freezing-of-gait-prediction", "kernel_id": "42543153"}, {"ref": "dishaparmar/tt1towards-parkinson-s-freezing-of-gait-prediction", "kernel_id": "43089961"}, {"ref": "roger92/conv1d-tf-model", "kernel_id": "44334713"}, {"ref": "hardik201003/freezing-of-gait-parkinson-s-syndrome", "kernel_id": "44632695"}, {"ref": "kaustubhdamle/catboost-vs-lightgbm-vs-xgboost", "kernel_id": "45851595"}, {"ref": "dishaparmar/major-project", "kernel_id": "45243809"}, {"ref": "sahu4nkit/fog-using-rl", "kernel_id": "45828955"}, {"ref": "harshyadav02/92-f1score", "kernel_id": "46846481"}, {"ref": "mokshbaweja/ml-project", "kernel_id": "46268330"}, {"ref": "adhulaa/fog-soln-adhula", "kernel_id": "47703259"}, {"ref": "giuliobenedetti/ml-for-parkinson", "kernel_id": "47799262"}, {"ref": "arnaaimysheva/idsns-final-rf-model", "kernel_id": "47833233"}, {"ref": "ailank/parkinson-s-fog-prediction-final-projec", "kernel_id": "47836418"}, {"ref": "aracelyg/ds-personal-trial", "kernel_id": "47877208"}, {"ref": "nghinguyencao/nghi-s-notebook", "kernel_id": "47855920"}, {"ref": "emargot/parkinson-s-freezing-of-gait-prediction", "kernel_id": "48461148"}, {"ref": "emargot/automl-parkinson-s-freezing-of-gait-prediction", "kernel_id": "48074164"}, {"ref": "irenebernardi/parkinson-s-defog", "kernel_id": "48926691"}, {"ref": "arminekarapetyan56/parkinson-s-fog-detection", "kernel_id": "49311372"}, {"ref": "shashankverma590/eda-parkinson-s-freezing-of-gait-prediction", "kernel_id": "49998604"}, {"ref": "xiyuhou/notebookcd099604df", "kernel_id": "49977053"}, {"ref": "arminekarapetyan56/parkinson-lgbm", "kernel_id": "50492748"}, {"ref": "xiyuhou/notebook79687d8dde", "kernel_id": "50724426"}, {"ref": "aracelyg/cnn-model", "kernel_id": "50549906"}, {"ref": "kanykei28/parkinson-lgbm", "kernel_id": "50151398"}, {"ref": "liornis/tdcsfog-code", "kernel_id": "50472359"}, {"ref": "giuliobenedetti/lstm-for-prediction-of-fog-events", "kernel_id": "51515199"}, {"ref": "arnaaimysheva/idsns-final-lstm-model", "kernel_id": "51103279"}, {"ref": "irenebernardi/fog-detection", "kernel_id": "51131479"}, {"ref": "irenebernardi/full-fog-detection-pipeline", "kernel_id": "51827519"}, {"ref": "irenebernardi/fog-event-detection", "kernel_id": "52236682"}, {"ref": "kanykei28/fog-detection", "kernel_id": "52177594"}, {"ref": "slicepaste/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "53596335"}, {"ref": "swp012/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "53648929"}, {"ref": "chouuu/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "53869081"}, {"ref": "juneey/ml-for-parkinson", "kernel_id": "53951040"}, {"ref": "aassddqazwsx/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "53710775"}, {"ref": "aspirine312/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "53486985"}, {"ref": "tristen2233/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "53711781"}, {"ref": "chengkuohung/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "53546124"}, {"ref": "andyccuml/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "53646240"}, {"ref": "slicepaste/fork-of-ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "54253965"}, {"ref": "ryanpzs/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "54332013"}, {"ref": "ives2012/ml-parkinson-s-freezing-of-gait-prediction-070a3e", "kernel_id": "54283768"}, {"ref": "juiyujian/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "54263682"}, {"ref": "boeobbb2/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "54284144"}, {"ref": "baichuanwang0525/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "54336441"}, {"ref": "ccu612420034/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "54183050"}, {"ref": "maggiezz/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "54045713"}, {"ref": "chengkuohung/pytorch-fog-end-to-end-baseline", "kernel_id": "54475656"}, {"ref": "weishan31/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "54341535"}, {"ref": "demonhue/fog-cnn", "kernel_id": "56316718"}, {"ref": "demonhue/cap5610-competition", "kernel_id": "56318793"}, {"ref": "sruthyajith10/fork-of-pd-fog", "kernel_id": "56732213"}, {"ref": "sruthyajith10/lgbm-ml-fog-pred", "kernel_id": "57501655"}, {"ref": "samithanawarathna/pytorch-parkinson-s-fog-prediction-wavenet", "kernel_id": "57539610"}, {"ref": "sruthyajith184/lgbm-pd-fog-ml", "kernel_id": "57437155"}, {"ref": "arnaaimysheva/fork-of-rf-final-947215", "kernel_id": "58297443"}, {"ref": "sruthyajith184/fog-prediction-using-lgbm", "kernel_id": "58386721"}, {"ref": "sruthyajith184/ml-fog-prediction-comparison-main", "kernel_id": "58452957"}, {"ref": "ofekbenabu/ds-seminar-2024", "kernel_id": "63948268"}, {"ref": "ksenyanix/fork-of-rf-final-947215", "kernel_id": "64623693"}, {"ref": "arnaaimysheva/fork-of-fork-of-rf-final-947215", "kernel_id": "64626144"}, {"ref": "fractalsets/dsns2024-parkinsons-gait-project", "kernel_id": "64152739"}, {"ref": "nelewerner/dsns-submission-notebook-group3", "kernel_id": "64737641"}, {"ref": "chenzusman/dsns2024-final-submission-parkinson-s-gait-project", "kernel_id": "64982723"}, {"ref": "oriarmel/dsns2024-parkinsons-gait-project", "kernel_id": "64432911"}, {"ref": "delmedigoasaf/dsns-2024-eval", "kernel_id": "65085325"}, {"ref": "delmedigoasaf/dsns2024-parkinsons-gait-project-ada060", "kernel_id": "65038842"}, {"ref": "colahorse/caoyi-work", "kernel_id": "65740856"}, {"ref": "yehuditmakoro/pytorch-lstm-fog-detection", "kernel_id": "69157520"}, {"ref": "sam40520/ml-parkinson-s-freezing-of-gait-prediction", "kernel_id": "69648610"}, {"ref": "nesshuang/ml-parkinson-s-freezing-of-gait-prediction-2e3ec3", "kernel_id": "70113457"}, {"ref": "sankalp234/parkinson-s-fog", "kernel_id": "70939911"}, {"ref": "blazingphoenix12345/parkinson-s-fog", "kernel_id": "71308687"}, {"ref": "osipovaleksey/parkinson-s-freezing-dsmed-x-mftibio", "kernel_id": "71422564"}, {"ref": "blazingphoenix12345/parkinson-s-fog-el", "kernel_id": "73512066"}, {"ref": "mohammedhuzaifs/notebookd17f9d9326", "kernel_id": "73628949"}, {"ref": "shreyasbharadwajhi/fog-el", "kernel_id": "73766114"}, {"ref": "asimwadood/multimodal-deep-learning-for-freezing-of-gait-dete", "kernel_id": "77452539"}, {"ref": "safarkhan/freezing-of-gait-episodes-in-parkinson-s-disease", "kernel_id": "77435744"}, {"ref": "colahorse/caoyi-work-06-04", "kernel_id": "77525603"}, {"ref": "blazingphoenix12345/iot-el", "kernel_id": "82903315"}, {"ref": "suchitardhi/pytorch-lstm-fog-detection", "kernel_id": "88719452"}, {"ref": "kaustuv81/freezinggait", "kernel_id": "88585144"}, {"ref": "rosiewentinglu/wenting-fog", "kernel_id": "91442821"}, {"ref": "bhuvanak04/mjf1a-fog-project", "kernel_id": "91442039"}, {"ref": "paulenepatrishapare/parkinson-s-freezing-of-gait-prediction", "kernel_id": "91437433"}, {"ref": "blazingphoenix12345/parkinson-paper", "kernel_id": "92547052"}, {"ref": "gaganpyla/fog-detection-in-parkinson-s-disease", "kernel_id": "110765805"}, {"ref": "mennahashraf29/notebookbd5b70f936", "kernel_id": "115247558"}]}
{"competition_id": "41881", "kernels": [{"ref": "bachaboos/lgbm-tf-water-quality-prediction", "kernel_id": "32820778"}, {"ref": "konradb/starter-with-validation", "kernel_id": "33408357"}, {"ref": "titericz/giba-xgb-baseline-v1", "kernel_id": "33362470"}, {"ref": "titericz/better-xgb-baseline", "kernel_id": "33673665"}, {"ref": "madhaowagh/starter-notebook", "kernel_id": "33556598"}, {"ref": "danielbion/auto-arima-starter", "kernel_id": "33642435"}, {"ref": "shrutisaxena/godaddy-density-forecasting-starter-code", "kernel_id": "33409391"}, {"ref": "brassmonkey381/godaddy-mdf-starter", "kernel_id": "33855232"}, {"ref": "indranilbhattacharya/optimizing-arima-and-last-value", "kernel_id": "33611832"}, {"ref": "indranilbhattacharya/outlier-cfips", "kernel_id": "33665497"}, {"ref": "indranilbhattacharya/smape-and-jensen", "kernel_id": "33700195"}, {"ref": "ttahara/gd-mdf-last-target-baseline", "kernel_id": "33364006"}, {"ref": "ttahara/gd-mdf-simple-lgbm-baseline", "kernel_id": "33361032"}, {"ref": "cv13j0/a-linear-regression-attempt", "kernel_id": "33573875"}, {"ref": "cv13j0/gbdt-using-lag-features", "kernel_id": "33727997"}, {"ref": "cv13j0/micro-business-density-forecasting-starter-gbdt", "kernel_id": "33362906"}, {"ref": "tejaswar/godaddy-sma", "kernel_id": "33919713"}, {"ref": "rishabhiitbhu/the-godaddy-eda-storyline", "kernel_id": "33523275"}, {"ref": "andreaschandra/godaddy-exploratory-on-geo-ts-and-census-data", "kernel_id": "33750892"}, {"ref": "maheshak04/understanding-data-godaddy-microbusiness-forecas", "kernel_id": "33478845"}, {"ref": "aliphya/density-forecasting-eda", "kernel_id": "33487432"}, {"ref": "tangelus/godaddy-competition-regression-baseline", "kernel_id": "33955344"}, {"ref": "snnclsr/gluonts-deepar-model-with-validation", "kernel_id": "33492533"}, {"ref": "datark1/detailed-eda-problem-decomposition-gis", "kernel_id": "33432173"}, {"ref": "rjconstable/prophet-pyspark-time-series-forecasting-godaddy", "kernel_id": "33667733"}, {"ref": "rishabhvijay/learning-with-daddy", "kernel_id": "33944186"}, {"ref": "xxbxyae/auto-arima-model-baseline-with-r", "kernel_id": "33660335"}, {"ref": "nasere/go-daddy-time-series-model-techniques", "kernel_id": "33374239"}, {"ref": "marcogorelli/better-xgb-baseline-with-polars", "kernel_id": "33776695"}, {"ref": "cdeotte/linear-regression-baseline-lb-1-092", "kernel_id": "33384266"}, {"ref": "cdeotte/seasonal-model-with-validation-lb-1-091", "kernel_id": "33441322"}, {"ref": "kittlein/validation-on-4-last-months-smape-2-36", "kernel_id": "33650355"}, {"ref": "kimtaehun/complete-baseline-code-with-various-ml-model", "kernel_id": "33402071"}, {"ref": "kimtaehun/simple-version-predict-3-135-county-one-by-one", "kernel_id": "33902321"}, {"ref": "pranay20485/county-neighbors", "kernel_id": "33643435"}, {"ref": "takafumitakizawa/godaddy-1st-eda", "kernel_id": "33392730"}, {"ref": "rdboyes/understanding-the-task-and-simple-sub-r", "kernel_id": "33820983"}, {"ref": "hscosta/dask-distributed-prophet-linear", "kernel_id": "33442469"}, {"ref": "batprem/voting-xgb-lgbm-cat", "kernel_id": "33818966"}, {"ref": "batprem/svr-baseline", "kernel_id": "33817804"}, {"ref": "stpeteishii/microbusiness-density-histplot", "kernel_id": "33722001"}, {"ref": "tanmay111999/gdmbf-ar-ma-arma-arima-sarima-auto-arima", "kernel_id": "33642582"}, {"ref": "sumanthegde/microbusinessdensityforecasting-data-analysis", "kernel_id": "33605816"}, {"ref": "alibaba19/godaddy-microbusiness-eda", "kernel_id": "33360816"}, {"ref": "osamurai/pydeck-visualization-is-all-you-need", "kernel_id": "33729986"}, {"ref": "osamurai/baseline-kalman-filter-bayesian-optimization", "kernel_id": "33578181"}, {"ref": "osamurai/gd-lasso-ridge-regression", "kernel_id": "33625590"}, {"ref": "shannontan/cluster-with-dtw-distance", "kernel_id": "33678973"}, {"ref": "mpwolke/go-make-sense-smape", "kernel_id": "33375712"}, {"ref": "alejopaullier/clustering-time-series-with-tsne", "kernel_id": "33469323"}, {"ref": "jaloeffe92/go-daddy-baseline-submission", "kernel_id": "33722292"}, {"ref": "jaloeffe92/go-neuralnetworkprediction", "kernel_id": "33744261"}, {"ref": "jaloeffe92/go-daddy-datapreparation", "kernel_id": "33686153"}, {"ref": "slmsshk/eda-1", "kernel_id": "33763642"}, {"ref": "prachi13/micro-business-forecasting-lb-1-089", "kernel_id": "33710193"}, {"ref": "prachi13/micro-business-forecasting", "kernel_id": "33495440"}, {"ref": "xiaolizi123/double-exponential-smooth", "kernel_id": "33887962"}, {"ref": "matheusdias1996/eda-xgboost-baseline", "kernel_id": "33547869"}, {"ref": "matheusdias1996/xgboost-cv-1-56-external-data", "kernel_id": "33597804"}, {"ref": "erenakbulut/eda-pandasprofiling-missingno", "kernel_id": "33370793"}, {"ref": "lucasmorin/how-to-plot-census-data", "kernel_id": "33361715"}, {"ref": "lucasmorin/ar-baseline", "kernel_id": "33362107"}, {"ref": "indynavarrovidal/eda-for-some-godaddys", "kernel_id": "33979534"}, {"ref": "namanmehta1/godaddy-1-33-randomforestregressor", "kernel_id": "33573625"}, {"ref": "robertturro/microbusiness-density-plotly-maps", "kernel_id": "33904020"}, {"ref": "lonnieqin/microbusiness-density-forecasting-with-lstm", "kernel_id": "33878644"}, {"ref": "lonnieqin/kerastuner-baseline", "kernel_id": "33694382"}, {"ref": "lonnieqin/microbusiness-density-forecasting-with-prophet", "kernel_id": "33436283"}, {"ref": "pavelabr/quick-eda-of-competition-data", "kernel_id": "33438289"}, {"ref": "egorphysics/auto-arima-baseline-model", "kernel_id": "33670345"}, {"ref": "egorphysics/naive-forecasting-baseline-model", "kernel_id": "33720712"}, {"ref": "egorphysics/exponential-smoothing-baseline-model", "kernel_id": "33722680"}, {"ref": "egorphysics/catboost-optuna-optimisation", "kernel_id": "33744877"}, {"ref": "egorphysics/prophet-starter-baseline-model", "kernel_id": "33695667"}, {"ref": "ridwanultanvir/gbdt-svm-prediction", "kernel_id": "33891119"}, {"ref": "justinmustaine/spatiotemporal-analysis", "kernel_id": "33390706"}, {"ref": "sumandey/autots-exponential-smoothing-forecast", "kernel_id": "33714948"}, {"ref": "maximeperez/go-daddy-xgboost", "kernel_id": "33399085"}, {"ref": "benjaminiorio/gd-mbd-last-targetr", "kernel_id": "33411238"}, {"ref": "domdejonge/1-089-baseline", "kernel_id": "33692192"}, {"ref": "bibanh/baseline-with-lstm", "kernel_id": "33585744"}, {"ref": "antonbushuiev/sarima-baseline", "kernel_id": "33397805"}, {"ref": "brendanartley/6-external-datasets", "kernel_id": "33914964"}, {"ref": "ashokkumargarain/notebookc9cdcf0867", "kernel_id": "33845417"}, {"ref": "bachaboos/smape", "kernel_id": "33954752"}, {"ref": "rhitwijmukherjee/godaddymubpred", "kernel_id": "33655656"}, {"ref": "pyaephyoaung/godaddy-competition", "kernel_id": "33548651"}, {"ref": "jannikkalkmann/godaddy-microbusiness-density-eda", "kernel_id": "33897864"}, {"ref": "fush1m1ke1go/complete-baseline-code-with-various-ml-model", "kernel_id": "33590070"}, {"ref": "vikramxd/go-daddy-eda-starter", "kernel_id": "33622515"}, {"ref": "asimple/eda-mdf", "kernel_id": "33361382"}, {"ref": "navinseab/basic-analysis", "kernel_id": "33717547"}, {"ref": "lordxerxes/godaddy-basic-prediction-with-xgboost", "kernel_id": "33451586"}, {"ref": "mohamedmagdy11/microbusiness-density-forecasting", "kernel_id": "33539885"}, {"ref": "samuraikaggle/pycaret-automl-for-beginner", "kernel_id": "33363649"}, {"ref": "foocheechuan/lgbm-bayessearch-baselinemodel", "kernel_id": "33796362"}, {"ref": "dlaststark/godaddy-forecasting-ffill-baseline", "kernel_id": "33393612"}, {"ref": "mohamedbakrey/the-best-way-for-model-random-forest-regression", "kernel_id": "33703423"}, {"ref": "shahidmandal/godaddy-census-data-plots-with-plotly", "kernel_id": "33519637"}, {"ref": "azizullah444/godaddy-microbusiness-density-forecasting-sktime", "kernel_id": "33973805"}, {"ref": "noir3747/micro-business-forecasting", "kernel_id": "33628748"}, {"ref": "une510/microbusiness-density", "kernel_id": "33939171"}, {"ref": "sandhyakrishnan02/godaddy-data-analysis", "kernel_id": "33425394"}, {"ref": "mahendrasinghrajpoot/adavance-eda", "kernel_id": "33503848"}, {"ref": "renokan/compare-smape-functions-rounding", "kernel_id": "33467934"}, {"ref": "renokan/compare-cfips-state-county", "kernel_id": "33437642"}, {"ref": "toma0624/eda-of-train-data", "kernel_id": "33580640"}, {"ref": "toma0624/arima-sarima", "kernel_id": "33921948"}, {"ref": "kavinsubramani/a-mad-way", "kernel_id": "33460849"}, {"ref": "masahiroichigo/godaddy-microbusiness-density-forecasting", "kernel_id": "33591003"}, {"ref": "masahiroichigo/godaddy-microbusiness-density-forecasting-with-tf", "kernel_id": "33826192"}, {"ref": "aditya9790/godaddy-eda-for-beginners", "kernel_id": "33747414"}, {"ref": "seraquevence/fred-economic-data", "kernel_id": "33624415"}, {"ref": "nikhilsharma24/quick-r-submission", "kernel_id": "33392823"}, {"ref": "vladimirbeliayev/gdmb-density-1", "kernel_id": "33740433"}, {"ref": "satyaprakashshukl/fast-eda-godaddy", "kernel_id": "33378783"}, {"ref": "songqizhou/sample-voting-lb-17", "kernel_id": "33836754"}, {"ref": "songqizhou/tuning-lstm", "kernel_id": "33919253"}, {"ref": "songqizhou/quick-ensemble-godadd", "kernel_id": "33980415"}, {"ref": "imnaho/eda-predict", "kernel_id": "33752170"}, {"ref": "sathyakrishnan12/timeseriessplit-separate-models-lb-1-092", "kernel_id": "33678291"}, {"ref": "mohammedmunshif/go-daddy-forecasting", "kernel_id": "33907218"}, {"ref": "ryanirl/gd-mdf-eda-findings", "kernel_id": "33533532"}, {"ref": "ryanirl/gd-mdf-altair-choropleth-maps", "kernel_id": "33408623"}, {"ref": "kaggleqrdl/parse-code-bls-emp-data", "kernel_id": "33663305"}, {"ref": "bhushanborude/godaddy-data-analysis", "kernel_id": "33638669"}, {"ref": "jackwen6/svm-prediction", "kernel_id": "33609962"}, {"ref": "imvision12/simple-eda", "kernel_id": "33361187"}, {"ref": "billykoech/godaddy-comp", "kernel_id": "33464672"}, {"ref": "sanandachowdhury/godaddy", "kernel_id": "33875146"}, {"ref": "kinverly/notebook04adeeabdf", "kernel_id": "33640990"}, {"ref": "dann12/check-missing-and-plot-as-calendar", "kernel_id": "33779474"}, {"ref": "josipvrdoljak/ema-test", "kernel_id": "33539126"}, {"ref": "shilongzhuang/advanced-time-series-forecasting-with-python", "kernel_id": "33679024"}, {"ref": "prabhanjanjadhav/gd-mdf-randomforest-baseline", "kernel_id": "33372738"}, {"ref": "prabhanjanjadhav/lags-are-all-you-need", "kernel_id": "33605459"}, {"ref": "werus23/create-rnn-model", "kernel_id": "33596551"}, {"ref": "vaibhavkumarbirajdar/go-daddy", "kernel_id": "33487382"}, {"ref": "mattop/godaddy-microbusiness-forecasting-eda", "kernel_id": "33362286"}, {"ref": "oumouhouh/choisir-la-tendances", "kernel_id": "33792216"}, {"ref": "oumouhouh/first-submission-1-09-seasonal-model", "kernel_id": "33588591"}, {"ref": "oumouhouh/let-s-try-exponential-smoothing", "kernel_id": "33649026"}, {"ref": "oumouhouh/clustering-time-series-with-tsne", "kernel_id": "33624836"}, {"ref": "thedevastator/tough-life", "kernel_id": "33390111"}, {"ref": "joshuascj/a-smaller-active-threshold-makes-you-1-089", "kernel_id": "33657395"}, {"ref": "senapatirajesh/go-daddy-eda-timeseriesforecasting", "kernel_id": "33800286"}, {"ref": "senapatirajesh/godaddy-forecasting-lb-1-089", "kernel_id": "33829750"}, {"ref": "vadimkamaev/first-submission-1-089", "kernel_id": "33391952"}, {"ref": "dejinkumar/godadycompletebaseline-code-with-various-ml-models", "kernel_id": "33651105"}, {"ref": "mr0106/g-d-m-d-f", "kernel_id": "33570903"}, {"ref": "adilimadeddinehosni/godaddy-microbusiness-density-forecasting", "kernel_id": "33566465"}, {"ref": "byungeunhwang/better-xgb-baseline-with-comments-added", "kernel_id": "33754318"}, {"ref": "maxjul/randomforestregressor-maiko-beats-0-997", "kernel_id": "33595895"}, {"ref": "awsabry2000/competition-notebook", "kernel_id": "33671759"}, {"ref": "omxpress/stark-ver", "kernel_id": "33875662"}, {"ref": "mikhailkhomenko1/spatial-regression-analysis-approach", "kernel_id": "33674282"}, {"ref": "friakhizar/eda-forecasting", "kernel_id": "33367182"}, {"ref": "devashishbhake01/better-version-density-forcasting", "kernel_id": "33619546"}, {"ref": "andreierofeev/exponentional-smoothing-baseline-statsforecast", "kernel_id": "33442120"}, {"ref": "andreierofeev/godaddy-stl-arima-validation-covid-impact", "kernel_id": "33795299"}, {"ref": "mehtishamrashid/gd-microbusiness-density-forecasting", "kernel_id": "33421333"}, {"ref": "mithunrajga/svm-prediction", "kernel_id": "33753575"}, {"ref": "bennetjoe/how-to-plot-census-data", "kernel_id": "33712221"}, {"ref": "redbear2014/an-xgb-baseline", "kernel_id": "33858073"}, {"ref": "madhaowagh/initial-notebook-w-xgb", "kernel_id": "34388570"}, {"ref": "madhaowagh/initial-notebook", "kernel_id": "34987164"}, {"ref": "bcruise/godaddy-mbd-state-by-state-eda", "kernel_id": "34887360"}, {"ref": "amandahood/gdmbd-eda-all-county-curves-by-state", "kernel_id": "34010510"}, {"ref": "kaudal/microbusiness-density-growth-analysis", "kernel_id": "34244617"}, {"ref": "finlay/godaddy-muti-step-method", "kernel_id": "34873149"}, {"ref": "sireesh/vanilla-xgboost-featureextraction-lb2-34", "kernel_id": "34648114"}, {"ref": "raimohaikari/linear-regression-baseline-using-r", "kernel_id": "34779385"}, {"ref": "raimohaikari/poor-man-s-eda", "kernel_id": "34970471"}, {"ref": "gpreda/godaddy-data-cleaning-and-eda", "kernel_id": "34271668"}, {"ref": "codealist/godaddy-census-data-unpivot", "kernel_id": "34170132"}, {"ref": "narendra/godaddy-eda", "kernel_id": "34252484"}, {"ref": "narendra/godaddy-eda2", "kernel_id": "34526233"}, {"ref": "narendra/godaddy-census-eda", "kernel_id": "34428111"}, {"ref": "roger92/godaddy-visualize-all-timeseries", "kernel_id": "34203525"}, {"ref": "gsigalaev/time-series-analysis-godaddy", "kernel_id": "34726503"}, {"ref": "peopletrees/univariate-times-series-analysis", "kernel_id": "34298568"}, {"ref": "namgalielei/godaddy-seq-models", "kernel_id": "34840889"}, {"ref": "ch124uec/time-series-hybrid-modeling", "kernel_id": "34951604"}, {"ref": "ch124uec/visualizing-micro-businesses-trends-with-plotly", "kernel_id": "34509927"}, {"ref": "kenkengoda/godaddy-reshape-census-starter", "kernel_id": "34732087"}, {"ref": "marcogorelli/visualising-all-3135-series", "kernel_id": "34119294"}, {"ref": "kittlein/simple-mlp-microbusiness-density-forecasting", "kernel_id": "34534495"}, {"ref": "petersorensen360/better-xgb-with-census-data-and-feature-importance", "kernel_id": "34766932"}, {"ref": "petersorensen360/better-xgb-x-month-lookahead", "kernel_id": "34972090"}, {"ref": "petersorensen360/better-xgb-updating-the-blacklists", "kernel_id": "34915846"}, {"ref": "mecanalpay/godaddyprediction-f6144b", "kernel_id": "34687543"}, {"ref": "franksunp/godaddy-microbusiness-data-business-study", "kernel_id": "34959172"}, {"ref": "batprem/better-xgb-baseline", "kernel_id": "34636319"}, {"ref": "batprem/knn-impute-voting-xgb-lgbm-cat", "kernel_id": "34945175"}, {"ref": "batprem/better-xgb-baseline-2", "kernel_id": "34966062"}, {"ref": "stpeteishii/microbusiness-density-single-prophet-repeat", "kernel_id": "34228704"}, {"ref": "stpeteishii/census-starter-eda", "kernel_id": "34147746"}, {"ref": "ryo1993/godaddy-eda002-tscluster", "kernel_id": "34831268"}, {"ref": "mvvppp/micro-biz-eda-a-data-driven-discovery", "kernel_id": "34574473"}, {"ref": "jaloeffe92/blending-linear-and-xgbregressor", "kernel_id": "34101530"}, {"ref": "jaloeffe92/go-lstm-and-simplernn-in-tensorflow", "kernel_id": "34468289"}, {"ref": "luisangelpitta/godaddy", "kernel_id": "34721690"}, {"ref": "ozmendelsohn/d-school-ts", "kernel_id": "34685864"}, {"ref": "tomkkk/xgb-baseline-in-r", "kernel_id": "34143298"}, {"ref": "abdualimov/elasticnet-simple", "kernel_id": "34618018"}, {"ref": "rohitdileep/godaddy-micro-business-forecasting-using-tf-linear", "kernel_id": "34299884"}, {"ref": "saraswatitiwari/godaddy-microbusiness-density-forecasting", "kernel_id": "34198559"}, {"ref": "saraswatitiwari/godaddy-microbusiness", "kernel_id": "34255550"}, {"ref": "maciejkrl/n-hits-1-0945-acc-working-godaddycomp", "kernel_id": "34558071"}, {"ref": "mahmoudatef94/godaddy-microbusiness-density-forecasting", "kernel_id": "34724380"}, {"ref": "greysky/lightgbm-starter-with-us-map-lb-1-0871", "kernel_id": "34299929"}, {"ref": "egorovalexeyd/first-look-eda", "kernel_id": "34765571"}, {"ref": "hanselliott/microbusinessforecasting-xgboost", "kernel_id": "34723791"}, {"ref": "egorphysics/arima-with-fourier-series-harmonic-regression", "kernel_id": "34350310"}, {"ref": "tomonorisasaki/simple-eda-without-prediction", "kernel_id": "34660915"}, {"ref": "rohithmahadevan/predicting-microdensity-using-random-forest", "kernel_id": "34786899"}, {"ref": "tatsukisato/godaddy-better-xgb-baseline", "kernel_id": "34686008"}, {"ref": "ravindrasonawane/godaddy-microbusiness-forecasting-eda", "kernel_id": "34549890"}, {"ref": "rahulsehrawat/eda-and-microbusiness-density-forecasting", "kernel_id": "34611645"}, {"ref": "ashokkumargarain/notebook476b820ba9", "kernel_id": "34169095"}, {"ref": "ashokkumargarain/notebook6ab75fd4ad", "kernel_id": "34174006"}, {"ref": "fuad0857/forecasting-with-tensorflow", "kernel_id": "34362032"}, {"ref": "ivanshingel/microbusiness-density-forecasting", "kernel_id": "34140042"}, {"ref": "loycelorenzo/go-daddy-using-fast-ai", "kernel_id": "34507513"}, {"ref": "swatikhedekar/godaddy-microbusiness-forcasting-eda", "kernel_id": "34574334"}, {"ref": "bennyfung/automl-flaml-for-time-series-forecasting", "kernel_id": "34993049"}, {"ref": "azizullah444/mbd-sklearn-regression-models-score-1-1682", "kernel_id": "34236556"}, {"ref": "toya18/godaddy-eda", "kernel_id": "34121828"}, {"ref": "tigersong2021/encoder-decoder", "kernel_id": "34037566"}, {"ref": "jth3000/eda-for-godaddy-microbusiness-forecasting", "kernel_id": "34352956"}, {"ref": "asheerali/notebook28a0ff4925", "kernel_id": "34555913"}, {"ref": "bhavanaatluri/godaddy-eda", "kernel_id": "34551383"}, {"ref": "shuvojitdas/eda-7-different-models", "kernel_id": "34735438"}, {"ref": "toma0624/gdbt-regression", "kernel_id": "34527746"}, {"ref": "masahiroichigo/multiple-model", "kernel_id": "34310223"}, {"ref": "jiayii1/godaddy-density-forecasting", "kernel_id": "34702051"}, {"ref": "simmonsbeds/eda-on-training-dataset", "kernel_id": "34250232"}, {"ref": "drenns/utils02-sigmoid-function", "kernel_id": "34846289"}, {"ref": "drenns/gd13-tune-sigmoid-constraint", "kernel_id": "34752815"}, {"ref": "drenns/gd12-extrapolation-tune-max-change", "kernel_id": "34654162"}, {"ref": "drenns/gd11-extrapolation-tune-time-series-length", "kernel_id": "34618045"}, {"ref": "drenns/gd10-extrapolation-prediction-county-mbd", "kernel_id": "34595708"}, {"ref": "drenns/gd04-random-forest-internal-features", "kernel_id": "34278245"}, {"ref": "drenns/gd03-prior-month-predictive-power", "kernel_id": "34278321"}, {"ref": "drenns/gd02-noisy-signal-hypothesis", "kernel_id": "34154959"}, {"ref": "drenns/gd01-godaddy-basic-eda-and-simplest-model", "kernel_id": "34080826"}, {"ref": "drenns/gd09-extrapolating-median-mbd-from-historical-data", "kernel_id": "34558979"}, {"ref": "drenns/gd07-how-bad-can-my-model-be", "kernel_id": "34416796"}, {"ref": "yoyobar/godaddy-with-autogluon-automl-lb-1-0944", "kernel_id": "34388136"}, {"ref": "muhriddinmalik/microbusiness-density-prediction", "kernel_id": "34773842"}, {"ref": "rolerik/godaddy-data-preparation-and-base-model", "kernel_id": "34328532"}, {"ref": "lalitchudal/theta-model-lb1-36", "kernel_id": "34288244"}, {"ref": "devanshu12122/godaddy-xgboost-baseline", "kernel_id": "34803639"}, {"ref": "thiruloksundar/knn-gbr-impute-voting-xgb-lgbm-cat", "kernel_id": "34988096"}, {"ref": "khashayarrahimi94/gold-price-forecasting-using-statistical-models", "kernel_id": "34325390"}, {"ref": "rahulmagar33/microbusiness-density-prediction", "kernel_id": "34894354"}, {"ref": "smailaar/godaddyprediction", "kernel_id": "34245538"}, {"ref": "priyankaraut32/microbusiness-density-prediction-random-forest", "kernel_id": "34837795"}, {"ref": "suhancho/tabnet-with-geo-point-data", "kernel_id": "34889071"}, {"ref": "josipvrdoljak/sample-code-1-106-xgboost-stacking", "kernel_id": "34081488"}, {"ref": "thomascrawley/godaddy-microbusiness-density-forecasting-eda", "kernel_id": "34262455"}, {"ref": "sherifatuzakaria/eda-godaddy-microbusiness-density-datasets", "kernel_id": "34454232"}, {"ref": "rcbhatt/godaddy-microbusiness-density-forecasting", "kernel_id": "34009585"}, {"ref": "ponderpiece/microbusiness-density-forecasting", "kernel_id": "34114155"}, {"ref": "girishkumar315/microbusiness", "kernel_id": "34175703"}, {"ref": "mangarahutagalung/godaddy-eda-and-simple-model-draft1", "kernel_id": "34630052"}, {"ref": "kevinmorgado/godaddy-data-analysis", "kernel_id": "34890094"}, {"ref": "joshuascj/godaddy-let-s-try-gru", "kernel_id": "34824138"}, {"ref": "joshuascj/better-xgb-baseline-understanding-for-beginners", "kernel_id": "34085570"}, {"ref": "mertkra/godaddy-randomforest-census", "kernel_id": "34086746"}, {"ref": "vadimkamaev/score-1-0851", "kernel_id": "34961101"}, {"ref": "vadimkamaev/micro-model", "kernel_id": "34966310"}, {"ref": "kawinpatk/tensorflow-keras-go-daddy", "kernel_id": "34974386"}, {"ref": "shahalthayyil/godaddy", "kernel_id": "34773087"}, {"ref": "trh2023/godaddy-hazard", "kernel_id": "34432742"}, {"ref": "rubensocj/naive-forecast", "kernel_id": "34233388"}, {"ref": "zizh3ngzhang/godaddy-ml-analysis", "kernel_id": "34852495"}, {"ref": "abrafey/visualizing-godaddy-census-data", "kernel_id": "34098750"}, {"ref": "mmzznno/kaggle-microbussiness-mmzznno", "kernel_id": "34292501"}, {"ref": "chitresh62001/time-series-using-arima-for-beginners", "kernel_id": "34319214"}, {"ref": "muskem/quick-easy-checks", "kernel_id": "34039129"}, {"ref": "vishalkanojiya/godaddy-microbusiness-density-forecas", "kernel_id": "34920195"}, {"ref": "eishkaran/godaddy-better-eda-xgb-baseline", "kernel_id": "34050591"}, {"ref": "konstbaginskii/notebook51afdb3eb7", "kernel_id": "34394915"}, {"ref": "andreierofeev/godaddy-sktime-ensembling", "kernel_id": "34108376"}, {"ref": "brayanarturonava/micro-business-forecasting-v-2", "kernel_id": "34534620"}, {"ref": "anvdeikoptsev/microbusiness-forecasting-randomforest", "kernel_id": "34788848"}, {"ref": "nicoatcap/notebookd2bde30dee", "kernel_id": "34466859"}, {"ref": "asimadnan/darts-catboost-beginner-friendly-1-577-pl", "kernel_id": "35399863"}, {"ref": "vitalykudelya/simple-baseline-with-eda-and-smape-behaviour", "kernel_id": "35407341"}, {"ref": "vitalykudelya/21-lines-of-code", "kernel_id": "35659054"}, {"ref": "vitalykudelya/use-discrete-nature-of-microbusiness-density", "kernel_id": "35751535"}, {"ref": "vitalykudelya/eda-of-cfips-with-low-active-in-baselines", "kernel_id": "35784479"}, {"ref": "jacekpardyak/godaddy-animated-microbusiness-density-map", "kernel_id": "35373197"}, {"ref": "rickpack/r-version-new-last-value-baseline-1-4631", "kernel_id": "35473814"}, {"ref": "cv13j0/a-new-hope-gbdt-model-ideas", "kernel_id": "35421762"}, {"ref": "sijovm/visualization-abnormal-densities-blacklists", "kernel_id": "35071254"}, {"ref": "raimohaikari/notebook1322eec7c7", "kernel_id": "35513375"}, {"ref": "narendra/godaddy-xgboost-with-tabular-dataset", "kernel_id": "35172900"}, {"ref": "narendra/godaddy-pca-analysis", "kernel_id": "35159616"}, {"ref": "narendra/godaddy-nn-with-tabular-dataset", "kernel_id": "35230852"}, {"ref": "emphymachine/godaddy-catboost-tuning-with-automl", "kernel_id": "35645890"}, {"ref": "yeshila/godaddy-66th-solution", "kernel_id": "35349224"}, {"ref": "bubbleup/basic-eda-competition-data", "kernel_id": "35200678"}, {"ref": "roger92/godaddy-select-cfips-with-strong-linear-trend", "kernel_id": "35520956"}, {"ref": "skalskip/pandas-vs-polars-eda", "kernel_id": "35104759"}, {"ref": "truythu169/model-tuning-on-based", "kernel_id": "35558810"}, {"ref": "abinsingh/school-guy-approach-score-3-8-exe-time-30-sec", "kernel_id": "35455688"}, {"ref": "abinsingh/predict-active-users-statistical-approach", "kernel_id": "35584249"}, {"ref": "jaewook704/godaddy-last-value-prediction", "kernel_id": "35297077"}, {"ref": "cdeotte/new-last-value-baseline-1-4631", "kernel_id": "35280480"}, {"ref": "samu2505/adding-location-features", "kernel_id": "35418354"}, {"ref": "samu2505/godaddy-stacking-xgb-lgbm-cat", "kernel_id": "35688547"}, {"ref": "vinitkp/xgb-model", "kernel_id": "35701770"}, {"ref": "vinitkp/godaddy-xgboost-optuna", "kernel_id": "35771640"}, {"ref": "vinitkp/density-forecasting-eda", "kernel_id": "35480452"}, {"ref": "vinitkp/eda-r-arima-others", "kernel_id": "35461063"}, {"ref": "avivlevi815/simple-model-per-county", "kernel_id": "35002244"}, {"ref": "heinzsch/time-series-analysis-godaddycompetition", "kernel_id": "35014900"}, {"ref": "batprem/voting-xgb-lgbm-cat-tune-features", "kernel_id": "35395478"}, {"ref": "batprem/godaddy-mixing-technique", "kernel_id": "35372987"}, {"ref": "batprem/godaddy-add-external-data", "kernel_id": "35505835"}, {"ref": "batprem/tuned-knn-imputer-utils-scripts", "kernel_id": "35175375"}, {"ref": "batprem/godaddy-simplify-and-rerunable-ensembruh", "kernel_id": "35186215"}, {"ref": "batprem/moving-regression-knn-impute-voting-xgb-lgbm-cat", "kernel_id": "35001193"}, {"ref": "batprem/godaddy-tune-stacking", "kernel_id": "35017330"}, {"ref": "bykovdmitrii/median-target-model", "kernel_id": "35415508"}, {"ref": "bykovdmitrii/godaddy-tune-catboost-changed-prediction-range", "kernel_id": "35677267"}, {"ref": "ckjtam/using-optuna-for-time-based-cv-parameter-tuning", "kernel_id": "35564179"}, {"ref": "chandanarprasad/microbusiness-density-forecasting-eda-plots-naive", "kernel_id": "35094146"}, {"ref": "pttljessy/eda-godaddy-detecting-and-removing-outliers", "kernel_id": "35458669"}, {"ref": "renatoreggiani/prophet-hptunning", "kernel_id": "35924830"}, {"ref": "yuriao/microbusiness-density-prediction-with-var", "kernel_id": "35214010"}, {"ref": "marchworks/godaddy-gnn", "kernel_id": "35739111"}, {"ref": "psugunnasil/961791-go-daddy", "kernel_id": "35016213"}, {"ref": "ramkapil/gd-mbd-6-0", "kernel_id": "35327570"}, {"ref": "nin7a1/new-better-xgb-baseline-1-4308", "kernel_id": "35289118"}, {"ref": "dongkeunbak/find-blacklist-basic-eda", "kernel_id": "35246053"}, {"ref": "lianxinwu/better-xgb-baseline-understanding-for-chatgpt", "kernel_id": "35518897"}, {"ref": "lonnieqin/godaddy-backtesting-last-value-prediction", "kernel_id": "35665800"}, {"ref": "dangnguyen97/lb-1-3803-simple-baseline-with-eda-and-smape", "kernel_id": "35662855"}, {"ref": "serkanoral/ridge", "kernel_id": "35024748"}, {"ref": "bibanh/distance-adjacency-matrix-for-us-map", "kernel_id": "35636542"}, {"ref": "saadelkouari/godaddy-transformer", "kernel_id": "35330596"}, {"ref": "yangkenwu/ml-ts-forecast-stats-go-daddy-micro-business", "kernel_id": "35273797"}, {"ref": "piyushm28/go-daddy-vif-basic-regression", "kernel_id": "35218587"}, {"ref": "lordxerxes/predicting-microbusiness-density", "kernel_id": "35651048"}, {"ref": "yiningtan/fork-of-fork-of-godaddy-tune-stacking", "kernel_id": "35769562"}, {"ref": "annabujniewicz/godaddyxgboost", "kernel_id": "35950439"}, {"ref": "jasonczh/recursively-predict-dcount41-from-dcount36", "kernel_id": "35128008"}, {"ref": "jasonczh/new-census-knn-xgb-lgbm-cat-lb-1-4121", "kernel_id": "35013335"}, {"ref": "toya18/timeserieskmeans-clustering", "kernel_id": "35447532"}, {"ref": "tetsutani/catboost-only-tune-score-lb1-3827", "kernel_id": "35435240"}, {"ref": "toma0624/tuning-methods-included-better-score-lb1-3946", "kernel_id": "35427598"}, {"ref": "masterray/godaddy-final-stacking-xgb-lgbm-cat-cnn-gru", "kernel_id": "35932874"}, {"ref": "maverickss26/micro-business-forecasting-score-1-3717", "kernel_id": "35999715"}, {"ref": "younaniskander/12345go", "kernel_id": "35293737"}, {"ref": "senseiwhocodes/godaddy-microbusiness-forecasting-top-24", "kernel_id": "35751369"}, {"ref": "senseiwhocodes/godaddy-lightgbm", "kernel_id": "35826719"}, {"ref": "danhoang/arima-sarima-baseline", "kernel_id": "35045872"}, {"ref": "kasogare/detailed-eda-godaddy-mb-density-forecast", "kernel_id": "35397636"}, {"ref": "amulil/godaddy-add-external-data-tune-score-lb1-3825", "kernel_id": "35594656"}, {"ref": "amulil/godaddy-tune-catboost-lb-1-3769", "kernel_id": "35665538"}, {"ref": "amulil/godaddy-tune-stacking-lb-1-3732", "kernel_id": "35721410"}, {"ref": "rolerik/godaddy-linear-regression", "kernel_id": "35697714"}, {"ref": "kitnick/godaddy-tune-catboost-by-jst", "kernel_id": "35691402"}, {"ref": "ngkiuhi/pbdq-khdl", "kernel_id": "35730585"}, {"ref": "thiruloksundar/stacking-ensemble-lb-1-0847", "kernel_id": "35176226"}, {"ref": "thiruloksundar/knn-xgb-cat-lgbm-lb-1-4078", "kernel_id": "35359091"}, {"ref": "atharvpatawar/prophet", "kernel_id": "35109267"}, {"ref": "sanandachowdhury/godaddy-exploratory-data-analysis", "kernel_id": "35760599"}, {"ref": "suhancho/classic-forecasting-models-7-model-ensemble", "kernel_id": "35015013"}, {"ref": "rzatemizel/a-better-baseline-cnn-gru", "kernel_id": "35166946"}, {"ref": "meryemtetik/godaddy-microbusinessdensity", "kernel_id": "35533266"}, {"ref": "argyrisanastopoulos/go-daddy-n-beats", "kernel_id": "35786050"}, {"ref": "olgashevtsova/microbusiness-forecasting-rf-log-last-value", "kernel_id": "35710899"}, {"ref": "thedevastator/how-to-correctly-ensemble-public-notebooks", "kernel_id": "35181187"}, {"ref": "sidiest/go-daddy", "kernel_id": "35693374"}, {"ref": "joshuascj/xgb-new-data-updated-and-comments-lb-1-4244", "kernel_id": "35292995"}, {"ref": "bagmitathakur/notebook-microbusiness", "kernel_id": "35336805"}, {"ref": "harelrom/new-last-value-baseline-1-5738", "kernel_id": "35698111"}, {"ref": "ashutoshsingh94/godaddy-exploratory-data-analysis", "kernel_id": "35683583"}, {"ref": "vadimkamaev/micro-business-catboost", "kernel_id": "35690389"}, {"ref": "vadimkamaev/godaddy-stacking-xgb-lgbm-cat", "kernel_id": "35691048"}, {"ref": "vadimkamaev/score-1-3818", "kernel_id": "35643145"}, {"ref": "vadimkamaev/micro-business-forecasting", "kernel_id": "35598533"}, {"ref": "vadimkamaev/50th-place-silver", "kernel_id": "35777869"}, {"ref": "bukolaajayi/go-daddy-competition-project", "kernel_id": "35120020"}, {"ref": "theerathongsanitkarn/godaddy-test", "kernel_id": "35003163"}, {"ref": "siriyasriboonma/961791-go-daddy", "kernel_id": "35217281"}, {"ref": "shionmatsuoka/improve-state-i-and-latitude-and-longitude", "kernel_id": "35067195"}, {"ref": "shionmatsuoka/sometimesarima-linear", "kernel_id": "35836885"}, {"ref": "smarisolsanchez/notebook-model-randomforestregressor", "kernel_id": "35554696"}, {"ref": "yakubsadlil/simple", "kernel_id": "35987822"}, {"ref": "jessicarrr/notebook34663c112f", "kernel_id": "35675386"}, {"ref": "andreierofeev/weightedensemble-catboost-pop-data", "kernel_id": "35209569"}, {"ref": "andreierofeev/nhits-model-pytorch-forecasting", "kernel_id": "35197976"}, {"ref": "judith007/tuning-methods-included-better-score-lb1-3946", "kernel_id": "35422400"}, {"ref": "judith007/location-feature-single-model-improvement", "kernel_id": "35501952"}, {"ref": "judith007/model-ensemble-tuning", "kernel_id": "35083725"}, {"ref": "ozgurhakan/godaddy-eda-xgb-baseline", "kernel_id": "35233962"}, {"ref": "yuujapan/ver2-godaddy-microbusiness-density-forecasting", "kernel_id": "35092407"}, {"ref": "prochou/naiveforecaster", "kernel_id": "35139429"}, {"ref": "cheekati1/godaddy-microbusiness-rfregressor", "kernel_id": "35927429"}, {"ref": "cheekati1/godaddy-microbusiness-rfregressor-census", "kernel_id": "35851560"}, {"ref": "joylulu3/logtarget", "kernel_id": "35743953"}, {"ref": "tmzakaggle/predict-density-reg-linear-140323", "kernel_id": "35345052"}, {"ref": "titericz/super-fast-rapids-svr", "kernel_id": "36067676"}, {"ref": "youwbpyr/godaddy-1-5-try-find-all-changepoints-outliers", "kernel_id": "36814446"}, {"ref": "honghanson/pmdarima-ver", "kernel_id": "36764074"}, {"ref": "heinzsch/time-series-analysis-and-visualization-godaddy", "kernel_id": "36301390"}, {"ref": "arunpurakkatt/naive-forecasting-baselinemodel", "kernel_id": "36666991"}, {"ref": "arjuna111/godaddy-nn", "kernel_id": "36136580"}, {"ref": "masterray/godaddy-final-10folds-cnn-gru-models-training", "kernel_id": "36052001"}, {"ref": "dongyk/lstm-version2", "kernel_id": "36045926"}, {"ref": "oumouhouh/score-1-3803", "kernel_id": "36206372"}, {"ref": "joshuascj/godaddy-final-gru-find-blacklist", "kernel_id": "36011335"}, {"ref": "joshuascj/godaddy-final-xgb-gap-models-find-blacklist", "kernel_id": "36011258"}, {"ref": "joshuascj/godaddy-final-xgb-3-gap-models-with-blacklists", "kernel_id": "36011026"}, {"ref": "joshuascj/godaddy-final-gru-full-cv-with-blacklists", "kernel_id": "36010795"}, {"ref": "arunklenin/godaddy-census-data-extrapolation-2022-2023", "kernel_id": "36177669"}, {"ref": "alyaaka/godaddy-mdf-competition", "kernel_id": "37978241"}, {"ref": "ngkiuhi/pbdq-khdl-5720c8", "kernel_id": "37273831"}, {"ref": "ngkiuhi/create-rnn-model", "kernel_id": "37243685"}, {"ref": "saikiran7135/microbussiness-predictions-with-eda", "kernel_id": "37378078"}, {"ref": "shijianliu/godaddy-microbusiness", "kernel_id": "37521697"}, {"ref": "ayushs9020/understanding-the-competition-go-daddy-eda", "kernel_id": "38698859"}, {"ref": "joshuascj/calculate-sampe-using-march-ground-truth", "kernel_id": "38826440"}, {"ref": "benidictusgalihmp/godaddy-autogluon-tabular-predictor", "kernel_id": "39351776"}, {"ref": "kenliwt/copy-of-submission-godaddy-microbusiness-densit", "kernel_id": "39822316"}, {"ref": "sourabhsingh03993493/sklearn-linera-regression", "kernel_id": "39788283"}, {"ref": "shamikrana/microbusiness-density-forecasting", "kernel_id": "39365105"}, {"ref": "vadimkamaev/calculate-sampe-using-march-ground-truth-b5e083", "kernel_id": "39065324"}, {"ref": "abcdcamey/my-godaddy-submit", "kernel_id": "40226491"}, {"ref": "jannish/silver-medal-recursive-forecasting-with-lgbm", "kernel_id": "40278244"}, {"ref": "youwbpyr/the-lgb-where-you-can-add-feats", "kernel_id": "40203720"}, {"ref": "cdeotte/gru-model-3rd-place-gold", "kernel_id": "40103827"}, {"ref": "galhar/main-part-of-5-place-code", "kernel_id": "40702379"}, {"ref": "hideyukizushi/daddy-train-inf-base-1-3712-0313-finalsub", "kernel_id": "40187284"}, {"ref": "thajime/godaady-44th-solution-lgbm", "kernel_id": "40095848"}, {"ref": "danielphalen/godaddy-microbusiness-final", "kernel_id": "40092276"}, {"ref": "librauee/3-8991-19th-train-and-infer-code", "kernel_id": "40082742"}, {"ref": "kaggleqrdl/dummy", "kernel_id": "40177653"}, {"ref": "kaggleqrdl/first-place-code", "kernel_id": "40140866"}, {"ref": "sumitj3na/microbusiness-final-project", "kernel_id": "40434411"}, {"ref": "abandura/mbd-forecasting-w-mars-lms-r", "kernel_id": "40064737"}, {"ref": "mayarmohamedswilam/godaddy-microbusiness-density-forecasting", "kernel_id": "42838344"}, {"ref": "mehmetutkubala/godaddy-microbusiness-density-forecasting", "kernel_id": "43883075"}, {"ref": "shobhagarg/better-xgb-baseline", "kernel_id": "43915703"}, {"ref": "seshurajup/godaddy-eda", "kernel_id": "44867460"}, {"ref": "jitpanoopolawath/godaddy", "kernel_id": "49293588"}, {"ref": "mmaoqiu/eda-xbg", "kernel_id": "53731967"}, {"ref": "peterdal/better-xgb-baseline", "kernel_id": "54662098"}, {"ref": "peterdal/complete-baseline-code-with-various-ml-model", "kernel_id": "54662377"}, {"ref": "amankhanna/exploration-and-modeling", "kernel_id": "55421092"}, {"ref": "starcoder06/eda-on-microbusiness-density-forecasting", "kernel_id": "55289711"}, {"ref": "mos3santos/base-xgb", "kernel_id": "60520406"}, {"ref": "okeydonkey/240719-project", "kernel_id": "62420991"}, {"ref": "mos3santos/godaddy-previs-o-de-densidade-de-microneg-cios", "kernel_id": "62597198"}, {"ref": "hwangyuna1/godaddy-240719-new", "kernel_id": "62421870"}, {"ref": "rookiejcy/store-item-demand-forecasting-challenge-deepar", "kernel_id": "69218054"}, {"ref": "klarkgames/aith-lightautoml-laletin-alexey", "kernel_id": "72242556"}, {"ref": "superdemoyang/godaddy-microbusiness-final", "kernel_id": "77634885"}]}
{"competition_id": "41908", "kernels": [{"ref": "sudong97/jisu-taitanick", "kernel_id": "32189839"}, {"ref": "afsd721/notebook7b758fd0fb", "kernel_id": "32340523"}, {"ref": "mahmoudramadan22/titanic-survival-prediction", "kernel_id": "56406168"}, {"ref": "ziadhelp/titanicml", "kernel_id": "57262732"}]}
{"competition_id": "41913", "kernels": [{"ref": "choieuijun/2022-ai-tp-attack-2-20011924-1", "kernel_id": "32769150"}, {"ref": "choieuijun/2022-ai-tp-attack-1-20011924-2", "kernel_id": "32330455"}, {"ref": "quriburn/2022-ai-tp-baseline-1-18011637", "kernel_id": "32320445"}, {"ref": "quriburn/2022-ai-tp-baseline-2-18011637", "kernel_id": "32548727"}]}
{"competition_id": "41940", "kernels": []}
{"competition_id": "42013", "kernels": [{"ref": "nidhi1502/overnight-hackathon-baseline", "kernel_id": "32270662"}, {"ref": "jayeshsonawane/age-detection-using-tensorflow", "kernel_id": "32269181"}, {"ref": "ankitaanand28/ankitaanand-iitg-ai-ohf", "kernel_id": "32266419"}, {"ref": "gmudit/automated-age-estimation-tensorflow-resnet50", "kernel_id": "32355939"}, {"ref": "gupadi/hi-images-overnight", "kernel_id": "32266444"}, {"ref": "navinpatwari/final-one", "kernel_id": "32325142"}, {"ref": "navinpatwari/overnight-hackathon", "kernel_id": "32266646"}, {"ref": "vodkaslice/hi-images-overnight-copy", "kernel_id": "32346738"}]}
{"competition_id": "42073", "kernels": []}
{"competition_id": "42082", "kernels": [{"ref": "mlcoig/read-submit", "kernel_id": "32317874"}, {"ref": "asiabodora/notebook400449425f", "kernel_id": "33329908"}]}
{"competition_id": "42102", "kernels": []}
{"competition_id": "42118", "kernels": [{"ref": "muchinai/retrain-bit-using-tf-flowers-test-accuracy-99-50", "kernel_id": "32716599"}, {"ref": "yunsuxiaozi/transfer-learning-resnet101-accuracy-0-88", "kernel_id": "37697192"}, {"ref": "yunsuxiaozi/transformer-tranfer-score-0-9775", "kernel_id": "38157469"}, {"ref": "brahimy/flower-image-classification", "kernel_id": "59397092"}]}
{"competition_id": "42121", "kernels": []}
{"competition_id": "42125", "kernels": []}
{"competition_id": "42142", "kernels": []}
{"competition_id": "42143", "kernels": []}
{"competition_id": "42184", "kernels": []}
{"competition_id": "42192", "kernels": []}
{"competition_id": "42193", "kernels": []}
{"competition_id": "42203", "kernels": []}
{"competition_id": "42277", "kernels": []}
{"competition_id": "42289", "kernels": [{"ref": "chenkuanchung/food-reviews-sentiment-analysis-dl", "kernel_id": "70536869"}]}
{"competition_id": "42319", "kernels": []}
{"competition_id": "42320", "kernels": []}
{"competition_id": "42345", "kernels": [{"ref": "mpwolke/lepidoptera-species-tfug-delhi", "kernel_id": "32763126"}, {"ref": "pietromaldini1/1st-lb-classification-with-datagen-and-mobilenet", "kernel_id": "32713787"}, {"ref": "ayushjain001/fork-of-lepidoptera-species-ml-d29d12", "kernel_id": "32839143"}, {"ref": "ayushjain001/lepidoptera-species-ml", "kernel_id": "32804709"}, {"ref": "hemant055/competition", "kernel_id": "32638010"}, {"ref": "sourabhbhatt/lepidoptera-species-tfug-delhi", "kernel_id": "32874049"}, {"ref": "virendramohan/lepidoptera-species-tfug-delhi", "kernel_id": "32806992"}, {"ref": "satyamponi/competition-satyam", "kernel_id": "32886971"}]}
{"competition_id": "42357", "kernels": []}
{"competition_id": "42373", "kernels": []}
{"competition_id": "42405", "kernels": []}
{"competition_id": "42406", "kernels": [{"ref": "shivamshinde123/spaceship-titanic-1", "kernel_id": "32641379"}, {"ref": "shivamshinde123/spaceship-titanic-survial-prediction-1", "kernel_id": "32908334"}]}
{"competition_id": "42439", "kernels": [{"ref": "bsoundarya/notebook809673f4ab", "kernel_id": "33167575"}]}
{"competition_id": "42497", "kernels": [{"ref": "scgupta/tfug-blr-sentiment-analysis-baseline", "kernel_id": "32645007"}, {"ref": "mandalravi/tfug-bangalore-sentiment-analysis", "kernel_id": "32633989"}, {"ref": "pranavraikokte/basic-sentiment-analysis", "kernel_id": "32763543"}, {"ref": "sidharkal/tfug-bangalore", "kernel_id": "32990033"}, {"ref": "mrutyunjaybiswal/tfug-baseline", "kernel_id": "32922797"}, {"ref": "vishnu1717/notebook3a32b4e252", "kernel_id": "32612309"}, {"ref": "pranavraikokte/intermediate-sentiment-analysis", "kernel_id": "33024185"}, {"ref": "shreyashkharat/sentiment-analysis-with-bert", "kernel_id": "33014537"}]}
{"competition_id": "42511", "kernels": []}
{"competition_id": "42518", "kernels": []}
{"competition_id": "42527", "kernels": []}
{"competition_id": "42532", "kernels": [{"ref": "miwojc/starter-notebook-with-fastai", "kernel_id": "32591719"}, {"ref": "harpdeci/supergradients-starter-notebook", "kernel_id": "32923622"}, {"ref": "pastorsoto/experimental-tracking-with-w-b", "kernel_id": "33503582"}, {"ref": "pastorsoto/adversarial-validation-for-overfitting-detection", "kernel_id": "33504569"}, {"ref": "erdi28/efficientnet-optuna-training", "kernel_id": "33530750"}, {"ref": "jocelyndumlao/kitchenware-classification-using-convnext-model", "kernel_id": "33530058"}, {"ref": "matthieupolan/autoencod-cosine", "kernel_id": "33284667"}, {"ref": "clamytoe/kitchenware-dataset-generator", "kernel_id": "33035989"}, {"ref": "sidharkal/kitchenware-classification-with-efficientnet", "kernel_id": "34421819"}, {"ref": "ahmetekiz/kitchenware-classification-resnetv50-v2", "kernel_id": "34631059"}, {"ref": "ahmetekiz/kitchenware-classification-resnet50", "kernel_id": "34631183"}, {"ref": "victorolufemi/kitchenware-classification-winning-notebook", "kernel_id": "34655911"}, {"ref": "handeharmankaya/kitchenware-classification", "kernel_id": "102850896"}, {"ref": "nihalba/kitchenware-classification", "kernel_id": "114643962"}, {"ref": "zynptkn06/kitchenware-classification-efficientnetb3", "kernel_id": "115726855"}]}
{"competition_id": "42547", "kernels": []}
{"competition_id": "42589", "kernels": []}
{"competition_id": "42647", "kernels": []}
{"competition_id": "42669", "kernels": []}
{"competition_id": "42698", "kernels": []}
{"competition_id": "42702", "kernels": [{"ref": "vabatista/sentiment-analysis-for-movie-reviews-starter-cod", "kernel_id": "32606561"}, {"ref": "vcarvalhor/sentiment-analysis-for-movie-reviews-starter-cod", "kernel_id": "32840910"}]}
{"competition_id": "42730", "kernels": []}
{"competition_id": "42748", "kernels": []}
{"competition_id": "42755", "kernels": []}
{"competition_id": "42772", "kernels": []}
{"competition_id": "42773", "kernels": []}
{"competition_id": "42777", "kernels": []}
{"competition_id": "42783", "kernels": []}
{"competition_id": "42818", "kernels": []}
{"competition_id": "42826", "kernels": []}
{"competition_id": "42827", "kernels": []}
{"competition_id": "42829", "kernels": []}
{"competition_id": "42831", "kernels": [{"ref": "kuantinglai/notebook59640f3929", "kernel_id": "32659382"}]}
{"competition_id": "42832", "kernels": []}
{"competition_id": "42840", "kernels": []}
{"competition_id": "42841", "kernels": []}
{"competition_id": "42843", "kernels": []}
{"competition_id": "42855", "kernels": []}
{"competition_id": "42869", "kernels": []}
{"competition_id": "42878", "kernels": [{"ref": "rummanahmad05/notebookb152b334bc", "kernel_id": "32737820"}, {"ref": "rummanahmad05/ahmad-hack-init", "kernel_id": "32740596"}, {"ref": "abdullahkalim/notebookb37f9597ec", "kernel_id": "32740528"}]}
{"competition_id": "42895", "kernels": [{"ref": "bachaboos/double-lgbmregressor-electricity-prediction", "kernel_id": "32931127"}]}
{"competition_id": "42896", "kernels": [{"ref": "bachaboos/lgbm-tf-water-quality-prediction", "kernel_id": "32820778"}, {"ref": "zesulank/lgbm-prediction", "kernel_id": "32731663"}, {"ref": "kaushalkrishna2000/tfug-notebook", "kernel_id": "33611421"}]}
{"competition_id": "42904", "kernels": [{"ref": "sambhavsg/benchmark-submission-notebook-diabetes", "kernel_id": "32728196"}]}
{"competition_id": "42910", "kernels": [{"ref": "frengzkermova/diabetes-prediction", "kernel_id": "32809412"}, {"ref": "paulyy27/tfug-diabetes-using-lightgbm-top-solution", "kernel_id": "33025076"}]}
{"competition_id": "42923", "kernels": []}
{"competition_id": "42932", "kernels": []}
{"competition_id": "42933", "kernels": [{"ref": "barbagrande007/bbg007-aqi", "kernel_id": "32867261"}, {"ref": "sakshamparashar/aqi-prediction-with-random-forest-8th", "kernel_id": "32863898"}]}
{"competition_id": "42941", "kernels": [{"ref": "kuantinglai/notebooke6ff701558", "kernel_id": "32786303"}]}
{"competition_id": "42972", "kernels": []}
{"competition_id": "43067", "kernels": []}
{"competition_id": "43077", "kernels": []}
{"competition_id": "43080", "kernels": [{"ref": "davidleu/simple-digit-recognizers", "kernel_id": "32896421"}]}
{"competition_id": "43167", "kernels": [{"ref": "sarthakvohra/notebookb32567d1c0", "kernel_id": "33120246"}]}
{"competition_id": "43188", "kernels": []}
{"competition_id": "43189", "kernels": [{"ref": "nawinrajkumars/spaceship-titanic-tfug", "kernel_id": "33024436"}, {"ref": "avd1729/space-titanic-classification", "kernel_id": "37994401"}]}
{"competition_id": "43199", "kernels": []}
{"competition_id": "43205", "kernels": []}
{"competition_id": "43209", "kernels": []}
{"competition_id": "43261", "kernels": []}
{"competition_id": "43305", "kernels": []}
{"competition_id": "43306", "kernels": []}
{"competition_id": "43309", "kernels": []}
{"competition_id": "43310", "kernels": []}
{"competition_id": "43313", "kernels": []}
{"competition_id": "43314", "kernels": [{"ref": "satyanarayanam/bbg007-richter", "kernel_id": "33573533"}, {"ref": "barbagrande007/bbg007-richter", "kernel_id": "33531521"}]}
{"competition_id": "43340", "kernels": [{"ref": "bichbich/notebenla", "kernel_id": "33963635"}, {"ref": "mohamedbelkamel/kerberos-g3", "kernel_id": "33956748"}, {"ref": "oumaimabenatia/maliki-benatia", "kernel_id": "33937378"}, {"ref": "abdellahkadem/orochi-catboost-copy", "kernel_id": "33372913"}, {"ref": "shaibihouria/ai-squad", "kernel_id": "33564910"}, {"ref": "fadwaboulekhras/t1-notebook", "kernel_id": "33133624"}, {"ref": "baouidadam/dima-kukab", "kernel_id": "33727615"}, {"ref": "hossamelg/dreamers-solution", "kernel_id": "33963593"}, {"ref": "tirganibadreddine/notebook-tirganibadreddine-laqssir-wiam-g3", "kernel_id": "33689532"}, {"ref": "elhousseinedihim/version-1", "kernel_id": "33763678"}, {"ref": "khalilalouane/notebookc46efae7d9", "kernel_id": "33613024"}, {"ref": "ibrahimoukziz/big-data-falcons-2", "kernel_id": "33950155"}, {"ref": "chahouaismail/mihawk", "kernel_id": "33952339"}, {"ref": "hachmisaad/team-aatwani", "kernel_id": "33854601"}, {"ref": "othmanecharby/talatasub", "kernel_id": "33571332"}, {"ref": "khaouladaalal/notebookc46efae7d9", "kernel_id": "33492243"}, {"ref": "salmabouchra/comp-tition-notebook-ms", "kernel_id": "33609512"}, {"ref": "salmabouchra/comp-tition-ms", "kernel_id": "33938755"}, {"ref": "mouadaitlaqddieme/comp-tition-notebook-ms", "kernel_id": "33937342"}, {"ref": "mouadaitlaqddieme/comp-tition-ms", "kernel_id": "33963424"}, {"ref": "khadijabamouss/eazri-bmss-g2", "kernel_id": "33963225"}, {"ref": "bouchraelalaoui/theone", "kernel_id": "33962622"}, {"ref": "hindachbani/notebook", "kernel_id": "33888630"}, {"ref": "mohamedaitalla/ml-slappers", "kernel_id": "33876210"}, {"ref": "chafikayoub/ml-slappers", "kernel_id": "33875521"}, {"ref": "manalbenssekrig1/competition-notebook-bs", "kernel_id": "33876316"}, {"ref": "hatimchifa/emsi-tabular-zak-diff", "kernel_id": "33639019"}, {"ref": "mohamedbaderchraibi/dreaming-lions", "kernel_id": "33126317"}, {"ref": "elbarmaquikawtarg1/kaoutar-elbarmaqui-g1", "kernel_id": "33697302"}, {"ref": "elbarmaquikawtarg1/barmaquii-g1", "kernel_id": "33961667"}, {"ref": "maysalraed/notebook-competition", "kernel_id": "33648311"}, {"ref": "yahyachahid/the-winchesters", "kernel_id": "33938173"}, {"ref": "ninafantasy123/oumaima-sami-g3", "kernel_id": "33953377"}, {"ref": "abdelfattahrabou/abdelfattah-rabou-g3", "kernel_id": "33929893"}, {"ref": "achrafmunem/emsi-tabular-comp-achraf-abouelaoud", "kernel_id": "33793522"}, {"ref": "achrafouhaddachg3/snipers", "kernel_id": "33934555"}, {"ref": "mouadkhallatig3/ez-notebook", "kernel_id": "33939219"}, {"ref": "imaneelbouamrig3/nada-imane", "kernel_id": "33938005"}, {"ref": "marouanekrekerg3/kreker-marouane-g3-tabular-comp", "kernel_id": "33718949"}, {"ref": "zakariarabou5/wakanda-forever", "kernel_id": "33961965"}, {"ref": "linaalmahig4/lyr-g4", "kernel_id": "33973855"}, {"ref": "ibrahimsabriiir5g4/sabri-notebook", "kernel_id": "33959701"}, {"ref": "otmanelyazidig4/notebook5626132a85", "kernel_id": "33744792"}, {"ref": "mohamedzouizzag4/zouizza-mohamed-nb", "kernel_id": "33959980"}, {"ref": "yassinebissaouig4/officers", "kernel_id": "33929633"}, {"ref": "bouhdyyouness/bouhdy-groupe4", "kernel_id": "33960145"}, {"ref": "bouhdyyouness/fork-of-bouhdy-groupe4", "kernel_id": "33974047"}, {"ref": "bouhdyyouness/fork-of-bouhdy-groupe4-daa5a3", "kernel_id": "33979622"}, {"ref": "ayoubazizialaouig4/quipe-g4-vf", "kernel_id": "33973698"}, {"ref": "ayoubazizialaouig4/equipe-g4-v2", "kernel_id": "33954125"}, {"ref": "adamelbouatlaoui/elbouatlaoui-adam-g4", "kernel_id": "33767671"}, {"ref": "ismailmachrou/quipe", "kernel_id": "33973907"}, {"ref": "imanetilsaghani/equipe-ioa", "kernel_id": "33956058"}, {"ref": "ouiamabig1/santvantlati", "kernel_id": "33959185"}, {"ref": "wissalelhachtoukig4/emsi-competition-wz", "kernel_id": "33767504"}, {"ref": "adamangoud/spakalaw-ai", "kernel_id": "33820648"}, {"ref": "latifaouaddig5/ia4g5-g5", "kernel_id": "33885048"}, {"ref": "aliboucheayoubg5/ayoub-alibouche-g5", "kernel_id": "33913510"}, {"ref": "ayoujilabdelali/ayoujil-abdelali-g3", "kernel_id": "33790668"}, {"ref": "abdelhakimahidg3/abdelhakim-ahid-g3", "kernel_id": "33154987"}, {"ref": "fatimaachouihg5/notebook73e8dbb907", "kernel_id": "33955084"}, {"ref": "najmsaadg3/atlas", "kernel_id": "33948816"}, {"ref": "ilyasszriouil/zriouil-ilyass-g4", "kernel_id": "33762545"}, {"ref": "benhadouchabdelmonim/iza-notebook", "kernel_id": "33758026"}, {"ref": "ayoubghoudang5/team-est-g5", "kernel_id": "33728396"}, {"ref": "mehdiajana1/mehdiajana-sanaaslimani-g3", "kernel_id": "33927287"}, {"ref": "asmaemessaoudig1/notebook-emsi-tabular-asmaamessaoudi-g1", "kernel_id": "33695486"}, {"ref": "ahmamaamine/madara-uchiwa", "kernel_id": "33520506"}, {"ref": "abdelilahngadi/codata-e0c379", "kernel_id": "33952485"}, {"ref": "yassinedbh/codata", "kernel_id": "33791771"}, {"ref": "ouahbaninouhaila/team-soa", "kernel_id": "33522038"}, {"ref": "hamzadabbouhg1/dabbouhawzal-hm-g1", "kernel_id": "33851704"}, {"ref": "mohamedsaid10/notebook88fca710e1", "kernel_id": "33902810"}, {"ref": "elhaddaniachrafg1/elhaddaniachrafg1", "kernel_id": "33693648"}, {"ref": "aljubair/emsi-tabular-al-jubair", "kernel_id": "92583328"}]}
{"competition_id": "43389", "kernels": [{"ref": "arseniybelkov/re-annotate", "kernel_id": "33305071"}]}
{"competition_id": "43396", "kernels": []}
{"competition_id": "43406", "kernels": []}
{"competition_id": "43454", "kernels": [{"ref": "shrutisaxena/wids-2023-xgboost-catboost-sc-1-18", "kernel_id": "33879648"}, {"ref": "farazrahman/combating-climate-change", "kernel_id": "33886573"}, {"ref": "nasere/wids2023-welcome-starter-pack", "kernel_id": "33878253"}, {"ref": "stpeteishii/wids-datathon-lgbm-with-optuna", "kernel_id": "33971878"}, {"ref": "stpeteishii/wids-data-predict-and-visualize-importance", "kernel_id": "33959222"}, {"ref": "stpeteishii/wids-datathon-2023-histplot", "kernel_id": "33959756"}, {"ref": "schopenhacker75/wids-boost-starter", "kernel_id": "33868258"}, {"ref": "mpwolke/improving-weather-forecasts-wids-2023", "kernel_id": "33927319"}, {"ref": "mpwolke/tubesml-on-wids-2023", "kernel_id": "33937362"}, {"ref": "mpwolke/wids-2023-xgbregressor", "kernel_id": "33991624"}, {"ref": "mpwolke/wids-2023-nn-estimator", "kernel_id": "33992194"}, {"ref": "mpwolke/wids-2023-lgbm-tuner", "kernel_id": "33963968"}, {"ref": "mpwolke/wids-xgbregressor", "kernel_id": "33962927"}, {"ref": "iamleonie/wids-datathon-2023-forecasting-with-lgbm", "kernel_id": "33882571"}, {"ref": "gavisr/auto-eda-for-beginners-quick-easy-eda", "kernel_id": "33910209"}, {"ref": "dshassan/wids-datathon-2023-time-series-forecasting", "kernel_id": "33932164"}, {"ref": "patchizzymba/wids-2023-datathon", "kernel_id": "33929113"}, {"ref": "pumpim/wids2023-dodosolutions", "kernel_id": "33937087"}, {"ref": "walterdietrich/notebookb24d20465c", "kernel_id": "33964856"}, {"ref": "whirleywrigs/wids-datavis", "kernel_id": "33936055"}, {"ref": "usharengaraju/wids2023-tabnetregressor", "kernel_id": "34011614"}, {"ref": "lhagiimn/wids-2023-datathon-datapreprocessing", "kernel_id": "34190026"}, {"ref": "kooaslansefat/wids-2023-bo-catboost-xai-pseudo-labeling", "kernel_id": "34664954"}, {"ref": "kooaslansefat/wids-2023-h2o-automl-xai", "kernel_id": "34662455"}, {"ref": "kuntalpal/datathon-baseline", "kernel_id": "34696355"}, {"ref": "trushatalati/wids-2023-lgbm", "kernel_id": "34285675"}, {"ref": "yomatsu1215/wids2023-eda-correlations", "kernel_id": "34945216"}, {"ref": "faithnchifor/wids-datathon-2023", "kernel_id": "34442252"}, {"ref": "aisyahhrazak/wids-2023", "kernel_id": "34703712"}, {"ref": "kingpinguin5/darts", "kernel_id": "34739433"}, {"ref": "danielaalvarez/lstm-with-combination-of-l1-l2", "kernel_id": "34781281"}, {"ref": "lucialagenial/wids-23-predictions", "kernel_id": "34366886"}, {"ref": "shavilyarajput/wids-datathon-2023", "kernel_id": "34733334"}, {"ref": "hamnaqaseem/data-detectives", "kernel_id": "34622705"}, {"ref": "mojganhashemian/wids-2023-bo-catboost-xai-rmse-1-12", "kernel_id": "34575151"}, {"ref": "anjanagunathilake/wids-datathon-2023-extreme-weather-forecasts", "kernel_id": "34521775"}, {"ref": "ducanger/wids-2023-catboost-regression", "kernel_id": "34044112"}, {"ref": "flaviafelicioni/wids-2023-different-locations-train-test-solved", "kernel_id": "34012293"}, {"ref": "roshitab/wids-datathon-2023-catboost-regression", "kernel_id": "34759989"}, {"ref": "shadowhat/join-live-predict-climate-in-wids", "kernel_id": "34612125"}, {"ref": "hngcclth/bo-catboost", "kernel_id": "34863623"}, {"ref": "anupamabidargaddi/wids-2023-eda-visualization", "kernel_id": "34582600"}, {"ref": "ashioyajotham/wids-2023-part-1-data-cleaning", "kernel_id": "34115644"}, {"ref": "kinakomochi/visualization-of-elevation-and-coordinates", "kernel_id": "34833790"}, {"ref": "biminhanh/wids-2023gaussiannb-model", "kernel_id": "34706332"}, {"ref": "linhnguyn555/eda-time-series-and-climate-regions-analysis", "kernel_id": "34770289"}, {"ref": "linhnguyn555/wids-datathon-2023-lgbm-modelling-applied", "kernel_id": "34932824"}, {"ref": "tiantianwang2/wids-2023-tutorial-1st-day-tiantian", "kernel_id": "34294154"}, {"ref": "manasisbyali/widskletech", "kernel_id": "34337099"}, {"ref": "janed57821/wids-data-intake", "kernel_id": "34600180"}, {"ref": "janed57821/wids-eda-corr-geo-seasonality-etc", "kernel_id": "34891697"}, {"ref": "kaggle7171/mstrcht-fab", "kernel_id": "34712937"}, {"ref": "lhagiimn/wids2023-linear-regression", "kernel_id": "35396998"}, {"ref": "lhagiimn/wids-2023-model-training-final", "kernel_id": "35386430"}, {"ref": "lhagiimn/2nd-place-solution-wids2023", "kernel_id": "35842636"}, {"ref": "kir0ul/wids-datathon-2023", "kernel_id": "35202193"}, {"ref": "kooaslansefat/wids-2023-woman-life-freedom", "kernel_id": "35047334"}, {"ref": "manisa55/wids-kathmandu-datathon-2023-baseline", "kernel_id": "35409501"}, {"ref": "malabika21guha/final-code", "kernel_id": "35501531"}, {"ref": "gagansabharwal/notebook86d29989e4", "kernel_id": "35160847"}, {"ref": "eamini/firstplacenb-wids-2023", "kernel_id": "35630151"}, {"ref": "minhhongcao/ai-ds2023", "kernel_id": "35280668"}, {"ref": "vaishnavipatil4848/wids-datathon-lightgbm-optuna", "kernel_id": "35458673"}, {"ref": "kingpinguin5/catboost-optuna-bert", "kernel_id": "35136573"}, {"ref": "bablos/6th-place-solution", "kernel_id": "35853044"}, {"ref": "zeynebkaya/wids2023-high-school-winner-solution", "kernel_id": "35831277"}, {"ref": "hamnaqaseem/team-data-detectives", "kernel_id": "35437475"}, {"ref": "veronicahchege/wids-datathon-final-2aefaa", "kernel_id": "35589234"}, {"ref": "omarattawneh/9th-place-solution", "kernel_id": "35936237"}, {"ref": "chengdorothy/wids2023-eda-lightgbm-rfecv-rmse-1-04", "kernel_id": "35313211"}, {"ref": "kimnganngng/usingpython", "kernel_id": "35218315"}, {"ref": "anupamabidargaddi/catboostregressor-wids-final", "kernel_id": "35524095"}, {"ref": "ashioyajotham/wids-2023-part-2-eda-modelling", "kernel_id": "35538272"}, {"ref": "elhamalbaroudi/ds-final", "kernel_id": "35058716"}, {"ref": "elhamalbaroudi/ds-final-2", "kernel_id": "35457756"}, {"ref": "trangnguyn95/wids-2023-t-u", "kernel_id": "35375465"}, {"ref": "hoa18020575/catboost-s-linh", "kernel_id": "35055183"}, {"ref": "doleh23/7th-place-code", "kernel_id": "35894397"}, {"ref": "kundanrao/wids-datathon-curaj-2023-a-regression", "kernel_id": "35194477"}, {"ref": "sujithmandala/wids-datathon-2023-98-2-accuracy", "kernel_id": "35125607"}, {"ref": "dungtran2801/notebook03f557cde0", "kernel_id": "35525106"}, {"ref": "theyashi/yashi-ivy", "kernel_id": "35597033"}, {"ref": "shirleyggarciasaba/notebooke6d2af5b40", "kernel_id": "35048540"}, {"ref": "janed57821/arima-model", "kernel_id": "35211380"}, {"ref": "siddharthapant1982/weka1-wids-0dc35d", "kernel_id": "35251488"}, {"ref": "tanusreeraybarman/weka1-wids", "kernel_id": "35250035"}, {"ref": "aryaharde/wids-2023-data-pirates", "kernel_id": "35542761"}, {"ref": "gianinamariapetrascu/wids-2023-catboost-lgbm", "kernel_id": "36231698"}, {"ref": "peeyushiyadav/assignment-2", "kernel_id": "37505981"}, {"ref": "ariannebaliramsingh/wids-2023-pandalytics", "kernel_id": "37262876"}, {"ref": "mantavyaupadhyay/220627-mantavya", "kernel_id": "38562233"}, {"ref": "suryas007/assignment-2-23fc57", "kernel_id": "38614920"}, {"ref": "dhananjaydixit013/assignment-2-be4d14", "kernel_id": "38955494"}, {"ref": "simronw/extreme-weather-forecasts-prediction", "kernel_id": "58798577"}]}
{"competition_id": "43489", "kernels": []}
{"competition_id": "43492", "kernels": [{"ref": "hilalrosyidputra/latihan-ecommerce", "kernel_id": "43001246"}]}
{"competition_id": "43495", "kernels": []}
{"competition_id": "43499", "kernels": [{"ref": "ksetdekov/prediction-using-lama", "kernel_id": "33020184"}, {"ref": "tracyporter/motorcycle-pred-linear-discr-analysis", "kernel_id": "33058610"}, {"ref": "tracyporter/motorcycle-pred-quad-discr-analysis", "kernel_id": "33058748"}, {"ref": "tracyporter/motorcycle-perceptron", "kernel_id": "33060640"}, {"ref": "tracyporter/motorcycle-pred-linear-discr-impute", "kernel_id": "33063185"}, {"ref": "tracyporter/motorcycle-pred-lightgbm", "kernel_id": "33065439"}, {"ref": "tracyporter/motorcycle-prediction", "kernel_id": "33036146"}, {"ref": "tracyporter/motorcycle-pred-linear-discr-analysis-normalise", "kernel_id": "33084989"}, {"ref": "tracyporter/motorcycle-prediction-predict-proba", "kernel_id": "33122433"}, {"ref": "tracyporter/motorcycle-pred-extra-trees-normalise", "kernel_id": "33113513"}, {"ref": "ivanshingel/motorcycle-or-not", "kernel_id": "33066738"}, {"ref": "georgedoukas/fastai-score-79-pc", "kernel_id": "33593893"}, {"ref": "davidleu/motorcycle-habit-prediction", "kernel_id": "33076722"}, {"ref": "yunsuxiaozi/rookie-s-notebook", "kernel_id": "33120938"}, {"ref": "yunsuxiaozi/should-i-ride-motorcycle", "kernel_id": "41529763"}, {"ref": "yunsuxiaozi/motorcycle-habit-prediction-review", "kernel_id": "61762567"}]}
{"competition_id": "43501", "kernels": []}
{"competition_id": "43519", "kernels": [{"ref": "graison/light-gbm-with-automated-optuna-tuner", "kernel_id": "33527490"}, {"ref": "abhishek14398/telecom-churn-case-study-notebook", "kernel_id": "33197595"}, {"ref": "samrich76/telecom-chrun-case-study", "kernel_id": "33247973"}]}
{"competition_id": "43582", "kernels": []}
{"competition_id": "43583", "kernels": []}
{"competition_id": "43636", "kernels": [{"ref": "jwwangars/ewma-mle", "kernel_id": "33342592"}, {"ref": "kevintongamanggatama/notebook6023755e95", "kernel_id": "33339033"}, {"ref": "rjickyrick/notebookf3553bb58c", "kernel_id": "34858160"}, {"ref": "lydiapuspita/notebook8fc6bd40fa", "kernel_id": "34630065"}, {"ref": "niputusriyuliartini/ni-putu-sri-yuli-artini", "kernel_id": "34928660"}, {"ref": "albertusmarco/marco-suwanto", "kernel_id": "35530138"}, {"ref": "fauziarifinalghifari/fauzi-arifin-a", "kernel_id": "35674466"}, {"ref": "roswitahede/roswita", "kernel_id": "35731892"}, {"ref": "faisalharahap30/predict-shots-in-the-premier-league-test", "kernel_id": "35642277"}, {"ref": "defriandwk/notebook-r-def", "kernel_id": "35002256"}, {"ref": "taliathaib/talia", "kernel_id": "35140099"}, {"ref": "rosikismonika/notebook82d8cbf736", "kernel_id": "35736850"}]}
{"competition_id": "43665", "kernels": []}
{"competition_id": "43741", "kernels": []}
{"competition_id": "43756", "kernels": []}
{"competition_id": "43770", "kernels": [{"ref": "dev523/should-eat-this-mushroom", "kernel_id": "33118836"}, {"ref": "shubhambansiwal/mushroom-identification-model", "kernel_id": "33222930"}, {"ref": "yunsuxiaozi/tfug-yunbase-cv-0-5990-pb-0-5964", "kernel_id": "73083763"}]}
{"competition_id": "43792", "kernels": []}
{"competition_id": "43838", "kernels": [{"ref": "elinaandriyanova/baseline", "kernel_id": "33167314"}, {"ref": "amlekomtsev/baseline-with-predict", "kernel_id": "33216305"}]}
{"competition_id": "43854", "kernels": []}
{"competition_id": "43857", "kernels": [{"ref": "asztyber/przyk-adowy-kod-do-lab-5-gr-a-22", "kernel_id": "33125064"}]}
{"competition_id": "43873", "kernels": [{"ref": "ryanholbrook/competition-metric-benetech-mixed-match", "kernel_id": "34594406"}, {"ref": "seshurajup/bmga-train-dataset-csv-meta", "kernel_id": "36322919"}, {"ref": "rishabh15virgo/first-impression-data-understanding-eval-metric", "kernel_id": "36517286"}, {"ref": "namgalielei/benetech-extract-meta", "kernel_id": "36464299"}, {"ref": "thanhhau097a/bmga-submission-0-86", "kernel_id": "36794001"}, {"ref": "kimtaehun/simple-eda-and-flattening-json-data-with-pandas", "kernel_id": "36305966"}, {"ref": "sinchir0/tesseractocr-vs-easyocr", "kernel_id": "36821613"}, {"ref": "josemori/eda-making-graphs-accessible", "kernel_id": "36495719"}, {"ref": "s17elgho/fine-tuning-donut-for-document-classification", "kernel_id": "36479436"}, {"ref": "mpwolke/let-s-plot-charts", "kernel_id": "36338922"}, {"ref": "dmoneyballer/donut-train-benetech-with-2-gpu-t4s", "kernel_id": "36856257"}, {"ref": "alejopaullier/benetech-simple-ocr-network", "kernel_id": "36339017"}, {"ref": "alejopaullier/benetech-efficientdet-train", "kernel_id": "36552839"}, {"ref": "alejopaullier/benetech-create-bounding-box-dataframe", "kernel_id": "36562044"}, {"ref": "alejopaullier/benetech-efficientdet-inference", "kernel_id": "36671541"}, {"ref": "mateusbsilva/identificando-imagens-de-fundo-escuro-e-claro", "kernel_id": "36345721"}, {"ref": "mateusbsilva/identificando-ocorr-ncia-dos-eixos", "kernel_id": "36348274"}, {"ref": "arnavjaitly/exploratory-data-analysis-on-benetech", "kernel_id": "36669176"}, {"ref": "heyytanay/training-pix2struct-pytorch-amp-w-b", "kernel_id": "36573030"}, {"ref": "nbroad/donut-infer-lb-0-44-benetech", "kernel_id": "36530196"}, {"ref": "nbroad/donut-train-benetech", "kernel_id": "36347758"}, {"ref": "tasnimnishatislam/tensorflow-full-pipeline", "kernel_id": "36564631"}, {"ref": "leonidkulyk/eda-mga-graphs-with-interactive-annotations", "kernel_id": "36332340"}, {"ref": "mohammadripan/load-and-visualize-the-data", "kernel_id": "36839686"}, {"ref": "jtan2231/data-cleanup-benetech", "kernel_id": "36374267"}, {"ref": "yoshikuwano/predict-plot-bb-coordinates", "kernel_id": "36825019"}, {"ref": "bibanh/simple-submission-classification-task-inference", "kernel_id": "36308211"}, {"ref": "bibanh/simple-submission-classification-99-training", "kernel_id": "36305983"}, {"ref": "mos3santos/making-graphs-accessible", "kernel_id": "36558191"}, {"ref": "manuelponzi/creating-annotation-dataframe-from-json-data", "kernel_id": "36413015"}, {"ref": "fuegoyagua/submission", "kernel_id": "36527665"}, {"ref": "uditsharma72/benetech-making-graphs-accessible", "kernel_id": "36404958"}, {"ref": "guillemgarciatarrach/bmga-singe-file-annotations", "kernel_id": "36600008"}, {"ref": "abhishek123maurya/eda-on-charts", "kernel_id": "36457844"}, {"ref": "gomaki/deplot-trying-out", "kernel_id": "36983876"}, {"ref": "pratyushraj07/pytorch-graphs-prj07", "kernel_id": "36544212"}, {"ref": "sadafkoondhar/notebookcd19b2dcf0", "kernel_id": "36553010"}, {"ref": "eleonoraricci/spell-check-on-tick-labels-using-bert", "kernel_id": "36411322"}, {"ref": "durvalslompojunior/start-here-challenge-benetech", "kernel_id": "36623370"}, {"ref": "theholycityweb/donut-infer-lb-0-42-benetech", "kernel_id": "36641815"}, {"ref": "maxbondabe/benetech-input-data-models", "kernel_id": "36831387"}, {"ref": "serangu/remove-backgrounds-is-not-good-idea", "kernel_id": "37587237"}, {"ref": "sambitmukherjee/horizontal-bar-detection-inference", "kernel_id": "37944397"}, {"ref": "sambitmukherjee/horizontal-bar-detection-training", "kernel_id": "37852369"}, {"ref": "pragyanbo/cleaned-dataset-creator", "kernel_id": "37640133"}, {"ref": "thanhhau097a/deplot-inference", "kernel_id": "37044218"}, {"ref": "thanhhau097a/simple-submission-classification-task-training", "kernel_id": "37047569"}, {"ref": "vinitkp/eda-r-graph", "kernel_id": "37236291"}, {"ref": "yujiariyasu/notebook97381653b4", "kernel_id": "37514789"}, {"ref": "yiding111/cropped-image-dataset-for-benetech-making-graph", "kernel_id": "37781998"}, {"ref": "emirhanbilgic/creating-the-ground-truth-data", "kernel_id": "37991666"}, {"ref": "asarvazyan/benetech-visualize-with-annotations", "kernel_id": "37515055"}, {"ref": "jakobi/dataset-as-csv-simple-eda", "kernel_id": "37376550"}, {"ref": "kenodearyjr/ma477-project-3", "kernel_id": "37250971"}, {"ref": "thytrnquang/training-pix2struct-pytorch-amp-w-b", "kernel_id": "37348741"}, {"ref": "thytrnquang/finetunepix2struct", "kernel_id": "37438743"}, {"ref": "divyanshikapoor05/understanding-graphs", "kernel_id": "37819378"}, {"ref": "dustinober/benetech", "kernel_id": "37842223"}, {"ref": "peiduozhao/plotting-annotations-with-pil", "kernel_id": "37626684"}, {"ref": "mayankvikram112/initial-visualization-with-annotations", "kernel_id": "37577733"}, {"ref": "samfouad/benetech-making-graphs-accessible-mlm", "kernel_id": "37186066"}, {"ref": "karlyparcell477/fork-of-karly-and-skyler-homework", "kernel_id": "37251979"}, {"ref": "rmichss/krolikowski-letartehw7", "kernel_id": "37253365"}, {"ref": "junkoda/cached-chart-element-detection", "kernel_id": "38756492"}, {"ref": "sambitmukherjee/tick-mark-detection-inference", "kernel_id": "38604831"}, {"ref": "sambitmukherjee/tick-mark-detection-training", "kernel_id": "38347165"}, {"ref": "sambitmukherjee/y-tick-label-detection-training", "kernel_id": "38767511"}, {"ref": "sambitmukherjee/y-tick-label-detection-inference", "kernel_id": "38831131"}, {"ref": "sambitmukherjee/rotated-vs-non-rotated-x-tick-label-classification", "kernel_id": "38796470"}, {"ref": "sambitmukherjee/rotated-vs-non-rotated-x-tick-label-inference", "kernel_id": "38883555"}, {"ref": "tikutiku/benetech-pip", "kernel_id": "38710936"}, {"ref": "tikutiku/benetech-install-transformers-w-o-internet", "kernel_id": "38710986"}, {"ref": "joviis/deplot-processor", "kernel_id": "38777844"}, {"ref": "conjuring92/w03-stem-glossary", "kernel_id": "38593740"}, {"ref": "koyyy0/benetech-annotation-parser", "kernel_id": "38335019"}, {"ref": "sinchir0/try-sam", "kernel_id": "38528013"}, {"ref": "alejopaullier/benetech-matcha-train-0-74", "kernel_id": "38035188"}, {"ref": "alejopaullier/benetech-pip", "kernel_id": "38772014"}, {"ref": "alejopaullier/benetech-matcha-inference-0-74", "kernel_id": "38771886"}, {"ref": "yuto0712/create-chart-info-dataset", "kernel_id": "38717524"}, {"ref": "samratthapa/99-7-accuracy-efficientnet-b2-chart-classify", "kernel_id": "38802071"}, {"ref": "takaito/benetech-deplot-validation-0-215", "kernel_id": "38401663"}, {"ref": "takaito/load-google-deplot-model", "kernel_id": "38211285"}, {"ref": "brendanartley/benetech-5-chart-types-generator", "kernel_id": "38416869"}, {"ref": "fadmadahouz/chart-classifier-using-fastai", "kernel_id": "38520347"}, {"ref": "nadhirhasan/let-s-finetune-easyocr-boom", "kernel_id": "38065905"}, {"ref": "nadhirhasan/check-the-performance-of-our-finetuned-ocr-model", "kernel_id": "38385404"}, {"ref": "divyanshikapoor05/graphs-a-beginner-s-approach-to-performing-eda", "kernel_id": "38143365"}, {"ref": "loraouf/resnet50-graph", "kernel_id": "38471720"}, {"ref": "marcosgois07/hybrid-model-with-donut-and-resnet50", "kernel_id": "38693904"}, {"ref": "awqatak/dotsolver-a-rule-based-solution-for-dot-plots", "kernel_id": "38471782"}, {"ref": "cody11null/tuned-donut", "kernel_id": "38480894"}, {"ref": "adhammaged/randomforestclassifier", "kernel_id": "38870446"}, {"ref": "pksamantaray/benetech-matcha-model-processor", "kernel_id": "39287244"}, {"ref": "pksamantaray/notebook0b170ba4d8", "kernel_id": "39389458"}, {"ref": "sambitmukherjee/line-detection-inference", "kernel_id": "39362100"}, {"ref": "sambitmukherjee/dot-scatter-detection-training", "kernel_id": "39623838"}, {"ref": "sambitmukherjee/x-tick-label-detection-training", "kernel_id": "39089929"}, {"ref": "sambitmukherjee/x-tick-label-detection-inference", "kernel_id": "39179054"}, {"ref": "sambitmukherjee/line-detection-training", "kernel_id": "39301130"}, {"ref": "sambitmukherjee/dot-scatter-detection-inference", "kernel_id": "39739331"}, {"ref": "vinitkp/change-parameters-work", "kernel_id": "39367850"}, {"ref": "gauravk123/resnet50-deplot-base-infer", "kernel_id": "39527396"}, {"ref": "gauravk123/resnet50-how-to-deep-learning-ai-course-99-8", "kernel_id": "39206518"}, {"ref": "artemshcherbina/offline-package-wheeler-paddle-ocr-example", "kernel_id": "39343260"}, {"ref": "hassandit1992/stem-graphs-xy-axes-using-cnn-and-vision-learner", "kernel_id": "39322194"}, {"ref": "hassandit1992/extract-manual-values-of-charts-using-ocr", "kernel_id": "39858949"}, {"ref": "sohyunsim/benetech-data-validation", "kernel_id": "39142445"}, {"ref": "luhc666666/donut-train-benetech", "kernel_id": "39488516"}, {"ref": "timofeyefimov/evaluation-metric-loss-function-code", "kernel_id": "39845007"}, {"ref": "leehann/deplot-inference", "kernel_id": "39134609"}, {"ref": "great8/charts-classifier", "kernel_id": "39353639"}, {"ref": "ashishjagdishsharma/benetech-making-graphs-accessible", "kernel_id": "39782223"}, {"ref": "srj321/bcode", "kernel_id": "39766475"}, {"ref": "tanjiroll/chart-classifier-fastai-99-9-accuracy", "kernel_id": "39291543"}, {"ref": "dola279/notebook57057b46a9", "kernel_id": "39004652"}, {"ref": "namgalielei/benetech-eval-and-infer-v12", "kernel_id": "40164510"}, {"ref": "cooleel/scatter-detection-inference-and-post-processing", "kernel_id": "40184216"}, {"ref": "christofhenkel/benetech-6th-place-dd", "kernel_id": "40238537"}, {"ref": "christofhenkel/benetech-sub-pip2", "kernel_id": "40238944"}, {"ref": "christofhenkel/benetech-deplot", "kernel_id": "40244256"}, {"ref": "christofhenkel/benetech-sub-pip", "kernel_id": "40244033"}, {"ref": "fuumin621/benetech-4th-submit", "kernel_id": "40741495"}, {"ref": "joviis/deplot-infer-v24", "kernel_id": "40133704"}, {"ref": "conjuring92/a05-mga-split-pipe", "kernel_id": "40106795"}, {"ref": "kingkong153/pix2struct-v8-best-score", "kernel_id": "40035611"}, {"ref": "kashiwaba/benetech-1st-place-inference", "kernel_id": "40470396"}, {"ref": "samratthapa/data-prep-for-yolov7-data-point-x-y-label-chart", "kernel_id": "40195624"}, {"ref": "samratthapa/20th-place-submission-yolov7-easyocr", "kernel_id": "40166912"}, {"ref": "gabtenimouhamed/fine-tuning-deplot-using-peft-lora", "kernel_id": "40166996"}, {"ref": "crodoc/benetech-mit-ensemble", "kernel_id": "40133505"}, {"ref": "wasimmadha/spell-correction-en-base", "kernel_id": "40078450"}, {"ref": "wasimmadha/pipeline-with-score", "kernel_id": "40079231"}, {"ref": "satyaprakashshukl/benetech-mga-eda", "kernel_id": "40018057"}, {"ref": "brennomullervitorino/benetech-deplot", "kernel_id": "40456708"}, {"ref": "brennomullervitorino/simple-submission-classification-task-training", "kernel_id": "40220087"}, {"ref": "qdv206/benetech-5th-place-inference", "kernel_id": "40531370"}, {"ref": "aravind36/benetech-28th-place-submission-lb-0-66", "kernel_id": "40161808"}, {"ref": "chchchch123/fork-of-fork-of-fork-of-fork-of-fork-of-not-288418", "kernel_id": "40142418"}, {"ref": "aamster/benetech-parse-graphs-submission", "kernel_id": "41194748"}, {"ref": "madhubalabishnoi/pin-to-original-environment-2023-05-01", "kernel_id": "41117291"}, {"ref": "vimalmehta1/ai-ml-dl-internship", "kernel_id": "49895015"}, {"ref": "yhyatareq/let-s-finetune-easyocr-boom", "kernel_id": "50661699"}, {"ref": "aleksandr13254/homework-5-ocr-spell-correction", "kernel_id": "51940523"}, {"ref": "dmitrii673/notebookca20444cfb", "kernel_id": "52022187"}, {"ref": "vslav27/hw-fintech-5", "kernel_id": "52116746"}, {"ref": "winkingasparagus/donut-train-benetech-new", "kernel_id": "54832885"}, {"ref": "winkingasparagus/donut-infer-lb-0-44-benetech", "kernel_id": "54744197"}, {"ref": "yazanalnakri/fine-tuning-donut-for-document-classification", "kernel_id": "69426116"}, {"ref": "galsalman/deplot-training", "kernel_id": "74242717"}, {"ref": "galsalman/benetech-eval-and-infer-v12", "kernel_id": "76925248"}, {"ref": "yiding111/vit-fine-tuning-image-recognition", "kernel_id": "79096355"}, {"ref": "mxyqdh/notebook2aee6de76d", "kernel_id": "111755834"}]}
{"competition_id": "43912", "kernels": [{"ref": "lyingonclouds/regress-flat-price-pred", "kernel_id": "35330520"}]}
{"competition_id": "43914", "kernels": []}
{"competition_id": "43920", "kernels": [{"ref": "suvayannath/convolvebert", "kernel_id": "33199989"}, {"ref": "devanshjpg/dev-abnormal", "kernel_id": "33200031"}, {"ref": "mrityunjay110/convolve-1", "kernel_id": "33299499"}, {"ref": "chandakya343/durden-ka-14", "kernel_id": "33271741"}, {"ref": "navinpatwari09/simple-bert", "kernel_id": "33417258"}, {"ref": "prakash56/convolve-e1", "kernel_id": "64717134"}]}
{"competition_id": "43944", "kernels": []}
{"competition_id": "43968", "kernels": [{"ref": "kuantinglai/detect-people-in-4k-drone-video-yolov7", "kernel_id": "33287385"}, {"ref": "reckylurker/dronevideo", "kernel_id": "52574558"}]}
{"competition_id": "43979", "kernels": []}
{"competition_id": "43983", "kernels": [{"ref": "barbagrande007/bbg007-labexam", "kernel_id": "33249109"}]}
{"competition_id": "43995", "kernels": [{"ref": "asztyber/przyk-adowy-kod-lab-6-2022", "kernel_id": "33221557"}]}
{"competition_id": "44012", "kernels": []}
{"competition_id": "44103", "kernels": []}
{"competition_id": "44107", "kernels": []}
{"competition_id": "44116", "kernels": []}
{"competition_id": "44167", "kernels": []}
{"competition_id": "44173", "kernels": []}
{"competition_id": "44224", "kernels": [{"ref": "imeintanis/birdclef-interactive-spectrogram-viewer", "kernel_id": "16038242"}, {"ref": "riadalmadani/fastai-effb0-base-model", "kernel_id": "28037963"}, {"ref": "philculliton/inferring-birds-with-kaggle-models", "kernel_id": "35660106"}, {"ref": "mayukh18/birdclef-eda-quickstart-sound-on", "kernel_id": "35791003"}, {"ref": "stefankahl/how-to-submit-to-birdclef-2023", "kernel_id": "35733336"}, {"ref": "gpreda/birdclef-2023-metadata-and-sound-data-exploration", "kernel_id": "35804754"}, {"ref": "zzy990106/birdclef-21-22-23-species-overlap", "kernel_id": "35875754"}, {"ref": "nilimajain/inferring-birds-with-kaggle-models-99ee3d", "kernel_id": "35936272"}, {"ref": "morodertobias/bc23-data-inspection", "kernel_id": "35911325"}, {"ref": "kuntalpal/bird-clef-baseline", "kernel_id": "35966499"}, {"ref": "mvvppp/bird-clef-23-starter-eda", "kernel_id": "35783289"}, {"ref": "mpwolke/africa-birdclef-respect-diversity", "kernel_id": "35788426"}, {"ref": "nilaychauhan/birdclef-23-transfer-learning-using-kaggle-models", "kernel_id": "35707959"}, {"ref": "hinepo/visualizing-mel-spectrograms-and-noise-reduce", "kernel_id": "35883224"}, {"ref": "awsaf49/birdclef23-effnet-fsr-cutmixup-train", "kernel_id": "35849728"}, {"ref": "awsaf49/birdclef23-effnet-fsr-cutmixup-infer", "kernel_id": "35874207"}, {"ref": "hideyukizushi/bird-inf-torch-timm-tf-efficientnetv2-s-fold3-5", "kernel_id": "35847233"}, {"ref": "paulojunqueira/pew-pew-overview-birdclef-2023", "kernel_id": "35886938"}, {"ref": "dinowun/eda-simplified-birdclef-2023", "kernel_id": "35790386"}, {"ref": "leonidkulyk/eda-birdclef-plotly-vis-map-audio", "kernel_id": "35784241"}, {"ref": "benjenkins96/identify-eastern-african-bird-species-cmap-77", "kernel_id": "35791743"}, {"ref": "sawsanshakir/notebook-birdclef-2023", "kernel_id": "35881686"}, {"ref": "shreydan/audio-visualization-eda-listen", "kernel_id": "35785030"}, {"ref": "lonnieqin/bird-species-classification-with-efficientnet", "kernel_id": "35936669"}, {"ref": "ishandutta/intuitive-audio-machine-learning-tutorial-w-b", "kernel_id": "35785100"}, {"ref": "nischaydnk/birdclef-2023-pytorch-lightning-inference", "kernel_id": "35931638"}, {"ref": "nischaydnk/birdclef-2023-pytorch-lightning-training-w-cmap", "kernel_id": "35922122"}, {"ref": "nischaydnk/split-creating-melspecs-stage-1", "kernel_id": "35906114"}, {"ref": "krishnendudey/birdclef-starter-notebook", "kernel_id": "35909292"}, {"ref": "debarshichanda/pytorch-birdclef23-starter", "kernel_id": "35787088"}, {"ref": "vyegyanathan/understanding-birdclef-audio-data", "kernel_id": "35918562"}, {"ref": "jirkaborovec/birdclef-stat-weights-predictions", "kernel_id": "35786010"}, {"ref": "jirkaborovec/birdclef-eda-world-atlas-with-birds", "kernel_id": "35785295"}, {"ref": "jirkaborovec/birdclef-random-predictions", "kernel_id": "35785384"}, {"ref": "jirkaborovec/birdclef-convert-spectrograms-reduce-noise", "kernel_id": "35784965"}, {"ref": "venkatkumar001/day3-eda-audioanalysis", "kernel_id": "35813999"}, {"ref": "bibanh/lb-0-72-resnet34-melspectrogram-stage-1-training", "kernel_id": "35801607"}, {"ref": "bibanh/lb-0-72-resnet34-melspectrogram-stage-2-inference", "kernel_id": "35806302"}, {"ref": "asimple/eda-birdclef", "kernel_id": "35803566"}, {"ref": "eslamfouad/birdclef-2023-mlm-predictions", "kernel_id": "35790311"}, {"ref": "sibivishtan/birdclef-call-soundscape", "kernel_id": "35893840"}, {"ref": "sibivishtan/birdclef-call-soundscapes", "kernel_id": "35890955"}, {"ref": "satyaprakashshukl/intial-eda-birdclef-2023", "kernel_id": "35783579"}, {"ref": "imvision12/birdclef-2023-efficientnet-training", "kernel_id": "35787996"}, {"ref": "burhanuddinlatsaheb/eda-visualizations-audio-exploration", "kernel_id": "35795214"}, {"ref": "sanandachowdhury/eda-birdclef-interactive-visualisations", "kernel_id": "35796450"}, {"ref": "denismunene/birds-data-understanding", "kernel_id": "35927787"}, {"ref": "manishchouhan454544/notebook1054076446", "kernel_id": "35818946"}, {"ref": "adityarahul/edabirdclef", "kernel_id": "35857134"}, {"ref": "nivk0906/inferring-birds-with-kaggle-models-01f7a4", "kernel_id": "35799452"}, {"ref": "miltiadesgeneral/inferringbirdsml", "kernel_id": "35868952"}, {"ref": "jonasotto/birbs", "kernel_id": "35992411"}, {"ref": "haydenismith/birdclef-2023-data-pipeline-lstm-network", "kernel_id": "35889360"}, {"ref": "haydenismith/eda-bird-call-species-predictions", "kernel_id": "35793032"}, {"ref": "haydenismith/birdclef-2023-ogg-file-spectrogram", "kernel_id": "35808201"}, {"ref": "frontfrend/submission", "kernel_id": "36865048"}, {"ref": "vpkprasanna/eda-visuvalizations-birdclef-2023", "kernel_id": "36006165"}, {"ref": "vladimirsydor/bird-clef-2023-inference-v1", "kernel_id": "36071801"}, {"ref": "siddharthkumarsah/birdclef-2023-eda", "kernel_id": "36134519"}, {"ref": "aymentabib/generate-5s-frames-birdclef2023", "kernel_id": "36668721"}, {"ref": "aymentabib/onset-detection", "kernel_id": "36362228"}, {"ref": "neurodr/eda-metadata-google-model-on-training-set", "kernel_id": "36165256"}, {"ref": "morodertobias/bc23-audio-processing-first-steps", "kernel_id": "36035890"}, {"ref": "morodertobias/bc23-image-creation-128-x-256", "kernel_id": "36553090"}, {"ref": "morodertobias/bc23-baseline-training", "kernel_id": "36560384"}, {"ref": "morodertobias/bc23-baseline-inference", "kernel_id": "36631530"}, {"ref": "stpeteishii/birdclef2023-mel-classify-fastai", "kernel_id": "36989481"}, {"ref": "stpeteishii/birdclef-2023-geodata", "kernel_id": "36925915"}, {"ref": "rajeshradhakrishnan/baseline-pytorch-birdclef2023", "kernel_id": "36913142"}, {"ref": "rajeshradhakrishnan/submission-scoring-error-birdclef2023", "kernel_id": "36530433"}, {"ref": "koushikcon/my-submission", "kernel_id": "36816238"}, {"ref": "tkrsh09/torchaudio-starter-basic-eda-loading-audio", "kernel_id": "36108417"}, {"ref": "udbhavpangotra/eda-plotly", "kernel_id": "36981728"}, {"ref": "tasmim/convert-spectrogram-and-train-directly-effnet", "kernel_id": "36349700"}, {"ref": "tasmim/efficientnet-spectrogram-specaugment-skf-training", "kernel_id": "36163453"}, {"ref": "awsaf49/birdclef23-pretraining-is-all-you-need-train", "kernel_id": "36187143"}, {"ref": "awsaf49/birdclef23-pretraining-is-all-you-need-infer", "kernel_id": "36186604"}, {"ref": "riadalmadani/fastai-effb0-base-model-birdclef2023", "kernel_id": "36227754"}, {"ref": "gabrielvinicius/speedup-spectogram-with-rapids", "kernel_id": "36255720"}, {"ref": "ghostcxs/bclef-train", "kernel_id": "36011573"}, {"ref": "lonnieqin/bird-species-classification-with-efficientnet-v2", "kernel_id": "36051578"}, {"ref": "pochenliu/get-melspec", "kernel_id": "36240742"}, {"ref": "pochenliu/po-birdclef-2023-pytorch-lightning-training", "kernel_id": "36204540"}, {"ref": "abhisekdash37/birdclefeda-extract-call-signal", "kernel_id": "36095085"}, {"ref": "lhanhsin/birdclef-2023-identifying-duplicates", "kernel_id": "36572747"}, {"ref": "sanjayacharjee/bird-train-lightning", "kernel_id": "36022012"}, {"ref": "mohib94/birdclef2023-overview", "kernel_id": "36713824"}, {"ref": "ollypowell/birdclef-21-22-23-data-cleaning", "kernel_id": "36306442"}, {"ref": "ollypowell/birdclef23-audio-to-numpy", "kernel_id": "36226319"}, {"ref": "venkatkumar001/cvt-audio2melspectrogramimagegenerator", "kernel_id": "36149451"}, {"ref": "domdejonge/remove-lowest-probability-predictions", "kernel_id": "36706199"}, {"ref": "aniketsharma00411/inferring-birds-with-kaggle-models", "kernel_id": "36847840"}, {"ref": "jaga360/bird-clf-2023-eda", "kernel_id": "36216126"}, {"ref": "robbynevels/dataloading-experiments-birdclef-2023", "kernel_id": "36558612"}, {"ref": "robbynevels/google-bird-model-embeddings-predictions-score", "kernel_id": "36828520"}, {"ref": "robbynevels/eda-birdclef-2023", "kernel_id": "36217276"}, {"ref": "ineedacat/data-preprocessing", "kernel_id": "36645196"}, {"ref": "ineedacat/baseline-inference", "kernel_id": "36198685"}, {"ref": "davidjohnmillard/birdclef-tfrecord", "kernel_id": "36127927"}, {"ref": "davidjohnmillard/birdclef-mp3-tfrecord", "kernel_id": "36328307"}, {"ref": "kunihikofurugori/8th-place-solution-inference-kernel", "kernel_id": "36164633"}, {"ref": "kunihikofurugori/best-single-model-lb-0-826-pb-0-73777", "kernel_id": "36665036"}, {"ref": "seydifaye/birddatsettotfrecords", "kernel_id": "36542977"}, {"ref": "muhammadahmedansari/birdclef23-effnet-fsr-cutmixup-infer", "kernel_id": "36110356"}, {"ref": "muhammadahmedansari/birdclef23-score-0-8", "kernel_id": "36284407"}, {"ref": "pedrohcsousa/resolu-o-birdclef2023", "kernel_id": "36488211"}, {"ref": "truthisneverlinear/birb-eda", "kernel_id": "36916553"}, {"ref": "dinhngoctua/birdsong-classification", "kernel_id": "36300098"}, {"ref": "myso1987/birdclef2023-sound-event-visualisations", "kernel_id": "36420478"}, {"ref": "srddev/birdclef-2023-kaggle-model", "kernel_id": "36164196"}, {"ref": "jaymineshkumarpatel/inferring-birds-with-kaggle-models", "kernel_id": "36437254"}, {"ref": "alessandrozanette/birdclef-2023-eda-with-interactive-widget", "kernel_id": "36292117"}, {"ref": "smnuruzzaman/birdclef-2023", "kernel_id": "36413526"}, {"ref": "sanandachowdhury/birdclef23-effnet-fsr-cutmixup-train-d7784c", "kernel_id": "36004709"}, {"ref": "sabahesaraki/birdclef-2023-challenge", "kernel_id": "36128709"}, {"ref": "sabahesaraki/birdclef-effnet-2023", "kernel_id": "36148797"}, {"ref": "jeffreykwan/acm-ai-birdclef-starter", "kernel_id": "36978914"}, {"ref": "vimukthi1997/birdclef-2023-competition-eda", "kernel_id": "36037063"}, {"ref": "huihuihui12/birdclef-train-efficient", "kernel_id": "36988861"}, {"ref": "mattop/birdclef-2023-eda", "kernel_id": "36211292"}, {"ref": "oumouhouh/audio-feature-extraction", "kernel_id": "36315132"}, {"ref": "raniahelmy/birdclef-2023-eda", "kernel_id": "36404701"}, {"ref": "sprestrelski/birdclef-post-submission", "kernel_id": "36008259"}, {"ref": "akashdasp/bird-clef", "kernel_id": "36054224"}, {"ref": "forbo7/birdclef-2023-augmented-spectrograms", "kernel_id": "36616475"}, {"ref": "forbo7/how-to-convert-audio-to-spectrogram-images", "kernel_id": "36837527"}, {"ref": "lyz2002/baseline0421", "kernel_id": "36236296"}, {"ref": "miltiadesgeneral/tensorflow-melspectro-efficientnetb0", "kernel_id": "36128982"}, {"ref": "lukalafaye/inferring-birds-with-kaggle-models", "kernel_id": "36546411"}, {"ref": "mitanshuchakrawarty/bird-sound-classification", "kernel_id": "36977281"}, {"ref": "eishkaran/birdclef-competition-1", "kernel_id": "36066905"}, {"ref": "eishkaran/bird-clef-2023-lb-0-77", "kernel_id": "36124139"}, {"ref": "haydenismith/deep-audio-classification-birdclef-2023", "kernel_id": "36440144"}, {"ref": "sps444/birdclef-2023-interactive-eda-windowed-data", "kernel_id": "36286595"}, {"ref": "trinhphuong98/training-model", "kernel_id": "36066004"}, {"ref": "akumar6/birdclef23-dataprep-macm1", "kernel_id": "37802607"}, {"ref": "pnussbaum/v15h-all-birdclef2023-mindreader", "kernel_id": "37672864"}, {"ref": "pnussbaum/v15h-birdclef2023-mindreader", "kernel_id": "37672369"}, {"ref": "pnussbaum/v16e-gpu-all-birdclef2023-mindreader", "kernel_id": "37988423"}, {"ref": "aikhmelnytskyy/birdclef23-train-convnext-problem", "kernel_id": "37448978"}, {"ref": "stpeteishii/birdclef2023-mel-torch-cnn", "kernel_id": "37072628"}, {"ref": "leonshangguan/faster-eb0-sed-model-inference", "kernel_id": "37229707"}, {"ref": "hypnotu/techtutors-predicting-birds-with-kaggle-models", "kernel_id": "37473755"}, {"ref": "iamleonie/what-impacts-your-cpu-inference-time", "kernel_id": "37122024"}, {"ref": "diegomachado/splitting-audios", "kernel_id": "37632250"}, {"ref": "leonlenk/birdclef-2023-pytorch-lightning-inference", "kernel_id": "37685705"}, {"ref": "ollypowell/birdclef23-uniform-no-call-sound-chunks", "kernel_id": "37999630"}, {"ref": "prateiksinha/birdclef-training", "kernel_id": "37049622"}, {"ref": "prateiksinha/acm-ai-birdclef-starter", "kernel_id": "37272051"}, {"ref": "robbynevels/example-submission-w-pytorch-effnet-joblib", "kernel_id": "37237210"}, {"ref": "robbynevels/birdclef2023-eda-with-3d-embeddings", "kernel_id": "37013472"}, {"ref": "robbynevels/identifying-duplicates-with-embeddings", "kernel_id": "37024123"}, {"ref": "robbynevels/zooming-out-on-some-duplicate-recordings", "kernel_id": "37076290"}, {"ref": "asimple/baseline-clf", "kernel_id": "37460368"}, {"ref": "pelegshilo/finding-mean-and-std-for-standardization", "kernel_id": "37471930"}, {"ref": "jocelyndumlao/birdclef-2023-melspectrogram", "kernel_id": "37108232"}, {"ref": "lucafaccin/create-images-from-audio-birdclef-2023", "kernel_id": "37586414"}, {"ref": "lucafaccin/birdclef-2023-fastai-inference", "kernel_id": "37949355"}, {"ref": "gautamimamidala/birdclef-3", "kernel_id": "37240590"}, {"ref": "gautamimamidala/fork-of-birdclef-3", "kernel_id": "37249738"}, {"ref": "stelsmaster/birdclef-2023", "kernel_id": "37119259"}, {"ref": "sarlren/birdclef-2023-pytorch-lightning-inference", "kernel_id": "37253516"}, {"ref": "mohamedantargad/eda-birdclef2023", "kernel_id": "37419638"}, {"ref": "huyhoang333/birdclef-number-of-training-samples-per-species", "kernel_id": "37824628"}, {"ref": "leehann/birdclef-21-2nd-place-model-submit", "kernel_id": "37394830"}, {"ref": "leehann/birdclef-21-2nd-place-model-train-0-66", "kernel_id": "37310448"}, {"ref": "leehann/birdclef-21-2nd-place-model-pretrain", "kernel_id": "37528690"}, {"ref": "leehann/birdclef-2023-pytorch-lightning-inference", "kernel_id": "37162716"}, {"ref": "leehann/birdclef-2023-pytorch-lightning-training-w-cmap", "kernel_id": "37144426"}, {"ref": "leehann/split-creating-melspecs-stage-1", "kernel_id": "37098969"}, {"ref": "debpritamroy/birdvoicercognition", "kernel_id": "37793316"}, {"ref": "diodupont/eda-birdclef-2023-focusing-on-rec-made-in-kenya", "kernel_id": "37682780"}, {"ref": "rounakkumbhakar/birdclef23-training", "kernel_id": "37422395"}, {"ref": "rounakkumbhakar/birdclef-23-submission-0-75-score-pytorch", "kernel_id": "37512107"}, {"ref": "lisacross/notebook4329d645ee", "kernel_id": "37509735"}, {"ref": "jiaqingfu2000/inferring-birds-with-kaggle-models", "kernel_id": "37406065"}, {"ref": "manabiulina/inferring-birds-with-kaggle-models", "kernel_id": "37485812"}, {"ref": "aristsmith/why-my-code-always-meet-notebook-threw-exception", "kernel_id": "37467709"}, {"ref": "aristsmith/fork-of-birdsong-classification", "kernel_id": "37821692"}, {"ref": "sharmisthapaul/r1006-birdclef2023", "kernel_id": "37672811"}, {"ref": "mariotsaberlin/bc23-s225-e", "kernel_id": "38927436"}, {"ref": "sonu123/birdclef-21-2nd-place-model-submit", "kernel_id": "38151102"}, {"ref": "seekerfreaker/simple-audio-data-preprocessing", "kernel_id": "38241721"}, {"ref": "tamotamo/convert-pytorch-model-to-openvino", "kernel_id": "38990510"}, {"ref": "pnussbaum/v17b-all-birdclef2023-mindreader", "kernel_id": "38067074"}, {"ref": "phanee16/tweeting-with-ai-bird-species-identification", "kernel_id": "38242619"}, {"ref": "leonshangguan/fork-of-fork-of-onnx-final-combine-bs4-b9daf6", "kernel_id": "38945550"}, {"ref": "sachinkumar413/inferring-birds", "kernel_id": "38300658"}, {"ref": "hideyukizushi/bird-inf-tpu-b2-overall-0-9498437216133171", "kernel_id": "38955017"}, {"ref": "honglihang/openvino-is-all-you-need", "kernel_id": "38365233"}, {"ref": "nataliayurasova/birdclef23-wgs-84-vs-cartesian-system", "kernel_id": "38607031"}, {"ref": "architsinghai/eda-birdclef", "kernel_id": "38070001"}, {"ref": "leoxu1243876/birdclef-pretrained-densenet121-cqt-dataaug", "kernel_id": "38406522"}, {"ref": "kunihikofurugori/8th-solution-preprocess-audio-image", "kernel_id": "38981180"}, {"ref": "kunihikofurugori/birdclef2023-soundobjectdetectionanalysis", "kernel_id": "38203855"}, {"ref": "kunihikofurugori/birdclef2023-soundobjectdetectiontrain", "kernel_id": "38174346"}, {"ref": "kunihikofurugori/sound-object-detection-batch-predict-sample-note", "kernel_id": "38185007"}, {"ref": "kunihikofurugori/8th-solution-down-scaling-detail", "kernel_id": "38260783"}, {"ref": "kunihikofurugori/sound-object-detection-prepare-annot-data", "kernel_id": "38145123"}, {"ref": "victorvieirat/birdclef2023-lenet5", "kernel_id": "38002611"}, {"ref": "seydifaye/transform-yamnet-log-mel-to-tfrecord", "kernel_id": "38223859"}, {"ref": "sarlren/birdclef-2023-pytorch-lightning-training-aug", "kernel_id": "38073039"}, {"ref": "markuslonss/notebooka2b27ac1ec", "kernel_id": "38344471"}, {"ref": "evgeniimaslov2/models-to-onnx", "kernel_id": "38729241"}, {"ref": "huyhoang333/birdclef-2021-aug-audio-mels-p1", "kernel_id": "38510740"}, {"ref": "nehalksahukar/birdclef-23", "kernel_id": "38427231"}, {"ref": "debpritamroy/fork-of-birdvoicercognition", "kernel_id": "38010007"}, {"ref": "sprestrelski/birdclef23-uniform-no-call-sound-chunks", "kernel_id": "38278368"}, {"ref": "clkmuhammed/birdclef-2023-eda-and-visualization-part1", "kernel_id": "38019980"}, {"ref": "diodupont/birds2023-randonforest", "kernel_id": "38001554"}, {"ref": "rubymyheart/notedta-2", "kernel_id": "38509583"}, {"ref": "aphysict/fork-of-birdclef-submit-rewrite-onnx", "kernel_id": "38999227"}, {"ref": "abdallahragab223/bird-classifiaction", "kernel_id": "38204879"}, {"ref": "richolson/birdclef-2024-simple-mel-spectrogram-generator", "kernel_id": "38715380"}, {"ref": "filmar2023/ptichki-2023", "kernel_id": "38813863"}, {"ref": "kot8egemot/bird2023", "kernel_id": "38932391"}, {"ref": "chelseade/birdclef23-pretraining-is-all-you-need-infer", "kernel_id": "38415510"}, {"ref": "mariotsaberlin/bc23-3rd-place-solution-refactored", "kernel_id": "39886734"}, {"ref": "akshatpathak/bird-clef-data-preparation-part1", "kernel_id": "39720372"}, {"ref": "atsunorifujita/extract-from-kaggle-models", "kernel_id": "39051965"}, {"ref": "atsunorifujita/4th-place-solution-inference-kernel", "kernel_id": "39045007"}, {"ref": "diegomachado/birdclef023-training-blog", "kernel_id": "39517707"}, {"ref": "honglihang/2nd-place-solution-inference-kernel", "kernel_id": "39354804"}, {"ref": "freddiegraboski/mfcc-training-model", "kernel_id": "39933420"}, {"ref": "kaikhrug/khrugbird-beta", "kernel_id": "39360969"}, {"ref": "evgeniimaslov2/birdclef-5th-place-code", "kernel_id": "39010901"}, {"ref": "pushkar007/birdclef-2023-pytorch-lightning-cmap", "kernel_id": "39477527"}, {"ref": "pushkar007/birdclef-2023-inference", "kernel_id": "39490086"}, {"ref": "pushkar007/how-to-create-melspectrograms-tutorial-birdclef", "kernel_id": "39438808"}, {"ref": "rohitgunti/inferring-birds-with-kaggle-models", "kernel_id": "39632010"}, {"ref": "pratul007/bird-species-classification-using-tensorflow-hub", "kernel_id": "40382109"}, {"ref": "arunodhayan/kaggle-ai-report-birdclef-series-2019-2023", "kernel_id": "40118313"}, {"ref": "gustavomourabarros/bird-clef-2023-inference-v1", "kernel_id": "40485477"}, {"ref": "gustavomourabarros/4th-place-solution-inference-kernel", "kernel_id": "40399583"}, {"ref": "daniel1312412/birdclef-21-2nd-place-model-train-0-66", "kernel_id": "40478775"}, {"ref": "souradippal/birdclef23-pretraining-is-all-you-need-train", "kernel_id": "41372196"}, {"ref": "madhubalabishnoi/pin-to-original-environment-2023-02-24", "kernel_id": "41327406"}, {"ref": "dinamamdouh/inferring-birds-with-kaggle-models", "kernel_id": "41106811"}, {"ref": "akshatpathak/beginners-guide-to-audio-feature-engineering-part2", "kernel_id": "42010345"}, {"ref": "tanmaybholane/2nd-approach", "kernel_id": "43332578"}, {"ref": "serhiikharchuk/bc23-3rd-place-solution-refactored", "kernel_id": "43031064"}, {"ref": "kejunkang/birdclef-21-2nd-place-model-pretrain", "kernel_id": "43758674"}, {"ref": "anidya11111/highest-accuracy", "kernel_id": "44172033"}, {"ref": "evrendurmus/angry-birds-if-you-can-t-know", "kernel_id": "44722538"}, {"ref": "rnaveensrinivas/dl-project", "kernel_id": "46613125"}, {"ref": "ajaythiagarajan2002/dl-project-22c9bc", "kernel_id": "46702230"}, {"ref": "yuminchiang/bird-audio-identification", "kernel_id": "46722908"}, {"ref": "hakandogan/bclef23-pytorch-sed-inferonnx", "kernel_id": "47826519"}, {"ref": "niyanthapandiyan/openvino-for-competition-with-internet-disabled", "kernel_id": "47618809"}, {"ref": "vijayravichander/birdclef23-scl-inference", "kernel_id": "49897073"}, {"ref": "vijayravichander/birdclef23-supervised-contrastive-loss-training", "kernel_id": "49753848"}, {"ref": "vijayravichanderusc/birdclef-inference-using-scl", "kernel_id": "49842297"}, {"ref": "chiranjivihole/birds-voice-recognition", "kernel_id": "50020163"}, {"ref": "aikhmelnytskyy/birdclef24-pretraining-is-all-you-need-infer", "kernel_id": "53976876"}, {"ref": "tabassumnova/google-bird-vocalization-classifier-model-77-acc", "kernel_id": "54266217"}, {"ref": "aikhmelnytskyy/birdclef24-pretraining-is-all-you-need", "kernel_id": "54066587"}, {"ref": "seydifaye/spec-birdclef-2024-train-cnn-train", "kernel_id": "54271724"}, {"ref": "saarthakverma/bird-sound-detection", "kernel_id": "54494991"}, {"ref": "chenwuw/finll", "kernel_id": "54998483"}, {"ref": "followjohn/birdclef-2024-inference-notebook", "kernel_id": "55789109"}, {"ref": "yuxintong/lilydraft", "kernel_id": "55160404"}, {"ref": "samithanawarathna/bird-songs-classification-with-wavenet-lstm", "kernel_id": "56852292"}, {"ref": "ser1ka/inferring-birds-with-kaggle-models", "kernel_id": "57509366"}, {"ref": "wddsffdsf/wz-xtu-202005755306", "kernel_id": "57084716"}, {"ref": "liuyixijia/birdclef24-pretraining-is-all-you-need909909", "kernel_id": "58640705"}, {"ref": "liuyixijia/birdclef24-ikun-pretraining-is-all-you-need-002", "kernel_id": "58517400"}, {"ref": "liuyixijia/909birdclef24-ikun-pretraining-is-all-you-nee", "kernel_id": "58690764"}, {"ref": "liuyixijia/fork-of-909birdclef24-ikun-pretraining-is-all-you", "kernel_id": "58724351"}, {"ref": "wengsilu/newbirdclef24pretraining", "kernel_id": "58975535"}, {"ref": "skanderkaroui/birdclef24-skander-s-attempt-train", "kernel_id": "58535798"}, {"ref": "xinzenglovecat/bird-clef-2023-inference-v2", "kernel_id": "58024029"}, {"ref": "xinzenglovecat/bird-clef-2023-inference-v1", "kernel_id": "58545718"}, {"ref": "fanhuaiyuan/2024split-creating-melspecs-stage-1", "kernel_id": "58403659"}, {"ref": "followjohn/birdclef-2024-training", "kernel_id": "59167933"}, {"ref": "xinzenglovecat/bird-clef-2023-inference-v1-f06551", "kernel_id": "62019999"}, {"ref": "ralph1/birdclef-2023-efficientnet-training", "kernel_id": "72455974"}, {"ref": "muhammadmahtab/inferring-birds-with-kaggle-models", "kernel_id": "74289221"}, {"ref": "pullagurasujal/birdclef2023-sujal", "kernel_id": "77430003"}, {"ref": "pullagurasujal/leverging-bird-model", "kernel_id": "77429599"}, {"ref": "seshurajup/birdclef-2020-2025-all-training-extra-npy-dataset", "kernel_id": "78317615"}, {"ref": "pullagurasujal/leverging-bird-model-full-dataset", "kernel_id": "81394067"}, {"ref": "prk123/inferring-bird-from-audio", "kernel_id": "85604013"}, {"ref": "nkuakir33/bird121", "kernel_id": "85643617"}, {"ref": "niket47/birdclef-2025-using-efficient-v2", "kernel_id": "86123633"}, {"ref": "naisargibhatt27/birdclef2023-updated", "kernel_id": "90200285"}, {"ref": "ganii29/birds-classificationusing-lstm", "kernel_id": "96741729"}, {"ref": "karunyaram2023cse/birdmusic-classifiaction", "kernel_id": "96659693"}, {"ref": "charleschile/ece534-rainforerst-engineering", "kernel_id": "101059000"}, {"ref": "muhammadsaadalvi/birdclef-2026-wildsound-v8", "kernel_id": "112170120"}, {"ref": "martinaolivato/baseline-training-kerascv", "kernel_id": "115819856"}, {"ref": "samithsachidanandan/transforming-audio-to-mel-spec-birdclef-26", "kernel_id": "117308412"}, {"ref": "martinaolivato/stage-3-multi-stage-pretraining-kerascv", "kernel_id": "117513516"}, {"ref": "martinaolivato/stage-2-multi-stage-pretraining-kerascv", "kernel_id": "117512837"}, {"ref": "samejimatink0/birdclef-2026-hgnetv2-b0-pretrain", "kernel_id": "120653190"}, {"ref": "martinaolivato/stage-4-multi-stage-pretraining-sed", "kernel_id": "120878009"}, {"ref": "jennyyila/notebook149927cb53", "kernel_id": "127832628"}, {"ref": "jennyyila/yamnet-frozen-lightgbm-export", "kernel_id": "127981643"}, {"ref": "jaysonchen1997/bird-jayson-fastai", "kernel_id": "127622565"}, {"ref": "sachalafargue/projet-oiseau", "kernel_id": "135815364"}]}
{"competition_id": "44251", "kernels": []}
{"competition_id": "44285", "kernels": [{"ref": "tracyporter/tams-nut-remove-outlier", "kernel_id": "33563403"}, {"ref": "tracyporter/tams-nut", "kernel_id": "33534874"}, {"ref": "ramjasmaurya/tams-nuts-collaboration-for-3rd-place-solution", "kernel_id": "33632358"}, {"ref": "pandeyharsh/some-models-to-predict-univ-acceptance", "kernel_id": "33465611"}, {"ref": "yunsuxiaozi/ridge-return-0-05828", "kernel_id": "33460456"}, {"ref": "rsesha/pandas-data-quality-on-tams-kaggle-dataset", "kernel_id": "37979007"}]}
{"competition_id": "44329", "kernels": []}
{"competition_id": "44330", "kernels": []}
{"competition_id": "44331", "kernels": []}
{"competition_id": "44341", "kernels": []}
{"competition_id": "44407", "kernels": []}
{"competition_id": "44431", "kernels": [{"ref": "barbagrande007/bbg007-prime", "kernel_id": "33464366"}]}
{"competition_id": "44433", "kernels": []}
{"competition_id": "44447", "kernels": []}
{"competition_id": "44454", "kernels": [{"ref": "docxian/dscomp-ai-club-regression-gbm", "kernel_id": "33545613"}, {"ref": "prithviraj7387/ds-club-ai-competition-eda", "kernel_id": "33531754"}]}
{"competition_id": "44457", "kernels": [{"ref": "hxl999/fork-of-notebook41e177de9f", "kernel_id": "37303113"}]}
{"competition_id": "44468", "kernels": []}
{"competition_id": "44471", "kernels": []}
{"competition_id": "44527", "kernels": [{"ref": "felipekitamura/spr-xray-age-prediction-baseline", "kernel_id": "35642627"}, {"ref": "leocanela/spr-xray-gender-vit-baseline-lb-roc-auc-94", "kernel_id": "35753311"}, {"ref": "mpwolke/spr-x-ray-gender-prediction", "kernel_id": "35895428"}, {"ref": "kuriki/gender-prediction", "kernel_id": "35624890"}, {"ref": "abdallahwagih/x-ray-gender-detection", "kernel_id": "35955423"}, {"ref": "lizhecheng/vit-baseline-x-ray-gender-prediction", "kernel_id": "35914664"}, {"ref": "aurelianosancho/spr-x-ray-gender-tensorflow2", "kernel_id": "36223661"}, {"ref": "geilson/spr-x-ray-gender-cross-validation-training", "kernel_id": "37760030"}, {"ref": "geilson/spr-x-ray-gender-inference", "kernel_id": "37787240"}, {"ref": "ritheshsreenivasan/sprgenderpredictioninferenceefficientnetb4", "kernel_id": "37455732"}, {"ref": "ritheshsreenivasan/sprgenderpredictiontrainingefficientnetb4", "kernel_id": "37147391"}, {"ref": "luisrozen/notebook9ce2afc7a4", "kernel_id": "37932028"}, {"ref": "shiyuzhan12/x-chest-age-gender-prediction", "kernel_id": "80571646"}, {"ref": "sarahimanehamdani/challenges-gender", "kernel_id": "89545086"}, {"ref": "rlucendo/notebookfa-resnet", "kernel_id": "89271026"}]}
{"competition_id": "44547", "kernels": []}
{"competition_id": "44629", "kernels": [{"ref": "imeintanis/playground-2023-01-lofo-feature-importance", "kernel_id": "27497423"}, {"ref": "sukantabasu/prediction-of-california-housing-prices-by-flaml", "kernel_id": "33867791"}, {"ref": "radek1/eda-training-a-first-model-submission", "kernel_id": "33795633"}, {"ref": "phongnguyen1/feature-engineering-with-coordinates", "kernel_id": "33799860"}, {"ref": "gbruges/playground-series-season3-episode1", "kernel_id": "33908475"}, {"ref": "shrutisaxena/ps-s3-e1-california-house-price-prediction", "kernel_id": "33806267"}, {"ref": "shrutisaxena/automl-libraries-tutorial", "kernel_id": "33819335"}, {"ref": "extremesarova/1-creating-folds-with-original-data-ps-s3e1", "kernel_id": "33908540"}, {"ref": "extremesarova/0-concise-eda-ps-s3e1", "kernel_id": "33847572"}, {"ref": "cv13j0/pss-3-episode-1-a-weekend-model", "kernel_id": "33915768"}, {"ref": "edouardo/mirando-al-mar", "kernel_id": "33946571"}, {"ref": "kim145/eda-all-regressors", "kernel_id": "33899389"}, {"ref": "rogeriodelfim/tps-jan-2023-01-eda-xgb-lgbm-catboost", "kernel_id": "33993675"}, {"ref": "danielliao/eda-training-a-first-model-submission", "kernel_id": "33812989"}, {"ref": "vshantam/playground-s03e01-eda-geospatial-fe-xgboost", "kernel_id": "33809765"}, {"ref": "stevesimons/pss3e1-regression-housing-kmean-clustering", "kernel_id": "33872070"}, {"ref": "stevesimons/pss3e1-regression-housing-pycaret", "kernel_id": "33857527"}, {"ref": "wuzimu/adding-sklearn-data-helps-a-lot", "kernel_id": "33806136"}, {"ref": "nnjjpp/playground-series-3-episode-1", "kernel_id": "33995537"}, {"ref": "nnjjpp/eda-and-baseline-playground-series-s3e1", "kernel_id": "33826441"}, {"ref": "lucabasa/tpc-season-3-episode-1", "kernel_id": "33804917"}, {"ref": "docxian/pg-season-3-ep-1-visual-starter", "kernel_id": "33811003"}, {"ref": "datascientistsohail/ps-s03ep01-randomforestreg", "kernel_id": "33848466"}, {"ref": "datascientistsohail/ps-se03ep01-cross-validation", "kernel_id": "33944029"}, {"ref": "datascientistsohail/lgbm-regressor-ps-se03ep01", "kernel_id": "33951255"}, {"ref": "jonbown/california-house-price-prediction", "kernel_id": "33916674"}, {"ref": "kojimar/lightgbm-baseline", "kernel_id": "33799582"}, {"ref": "oscarm524/ps-s3-ep1-eda-fe-modeling", "kernel_id": "33818762"}, {"ref": "agorinenko/s3e01-stack-catboost-lightgbm-xgboost-and-more", "kernel_id": "33803315"}, {"ref": "agorinenko/neural-network-for-regression-with-pytorch", "kernel_id": "33947870"}, {"ref": "jacoporepossi/nested-cross-validation-and-ensembling-framework", "kernel_id": "33841199"}, {"ref": "jacoporepossi/fastai-baseline-ensembling", "kernel_id": "33795421"}, {"ref": "kimtaehun/simple-lgbm-with-sklearn-pipeline-randomcv", "kernel_id": "33814544"}, {"ref": "samu2505/histgradient-baseline", "kernel_id": "33801010"}, {"ref": "craigmthomas/plays1e1-eda-models", "kernel_id": "33825081"}, {"ref": "mkr9395/eda-xgboost-californiahousing", "kernel_id": "33844179"}, {"ref": "cchia3/syntheticdata", "kernel_id": "33960762"}, {"ref": "manahid/1st-notebook-trying-a-random-forest-model", "kernel_id": "33819098"}, {"ref": "tylerjthomas9/julia-xgboost-baseline-tps-s3e1", "kernel_id": "33801076"}, {"ref": "omarvivas/xgb-pgs-v1", "kernel_id": "33823110"}, {"ref": "omarvivas/catboost-pgs-v1", "kernel_id": "33822808"}, {"ref": "omarvivas/lgbm-pgs-v1", "kernel_id": "33822649"}, {"ref": "omarvivas/mix3modelsoof-v1", "kernel_id": "33824357"}, {"ref": "omarvivas/mixmedian-3models-v1", "kernel_id": "33824463"}, {"ref": "faelk8/eda-lgbmregressor", "kernel_id": "33816751"}, {"ref": "ted0071/ps3e1-eda-models", "kernel_id": "33936038"}, {"ref": "mmellinger66/ps3e1-eda-models-blend", "kernel_id": "33829236"}, {"ref": "arslankas/histgradientboostingregressor", "kernel_id": "33821716"}, {"ref": "mpwolke/california-playground-ep-1", "kernel_id": "33822331"}, {"ref": "mpwolke/ca-outliers-season-3-ep-1", "kernel_id": "33851731"}, {"ref": "jcaliz/ps-s03e01-a-complete-eda", "kernel_id": "33795422"}, {"ref": "cid007/california-house-price-prediction", "kernel_id": "33963162"}, {"ref": "hasanbasriakcay/pss3-1-insightful-eda-new-lib-featdist", "kernel_id": "33802661"}, {"ref": "furkannakdagg/pycaret-detailed-eda-first-submission", "kernel_id": "33809204"}, {"ref": "rajsengo/s3-e1-r-for-beginners", "kernel_id": "33819638"}, {"ref": "erenakbulut/eda-catboost-predictions-data-balancing", "kernel_id": "33924228"}, {"ref": "erenakbulut/pyspark-linear-gbtregressor-starter", "kernel_id": "33961452"}, {"ref": "mukaseevru/ps-s3e1-lama-lightautoml-no-extra-data", "kernel_id": "33825955"}, {"ref": "mukaseevru/ps-s3e1-lama-lightautoml-extra-data", "kernel_id": "33825128"}, {"ref": "carlmcbrideellis/regression-prediction-intervals-with-mapie", "kernel_id": "33875851"}, {"ref": "bernhardklinger/automl-baseline", "kernel_id": "33927101"}, {"ref": "abdoulayebalde/eda-model-score-0-56837", "kernel_id": "33844770"}, {"ref": "trushatalati/ps3e1-automl-h2o", "kernel_id": "33862997"}, {"ref": "trushatalati/playground-s3e1-linear-regression-lgbm", "kernel_id": "33861423"}, {"ref": "joshuaswords/visualising-hyper-parameters", "kernel_id": "33804525"}, {"ref": "akioonodera/ps-3-01-lgbm-reg", "kernel_id": "33858484"}, {"ref": "sanjaylalwani/chd-eda", "kernel_id": "33831277"}, {"ref": "soupmonster/simple-lightgbm-baseline", "kernel_id": "33806667"}, {"ref": "soupmonster/s03e01-eda-for-modelling", "kernel_id": "33825156"}, {"ref": "ranjeetshrivastav/playground-january-series-xgboost-baseline", "kernel_id": "33800228"}, {"ref": "sanketsz/beginners-guide-playground-s3e01", "kernel_id": "33854072"}, {"ref": "tracyporter/play-3-1-grad-boost-reg", "kernel_id": "33851975"}, {"ref": "tracyporter/play-3-1-lin-reg", "kernel_id": "33849852"}, {"ref": "takshpanchal/ps-s3-e1-simple-baseline", "kernel_id": "33799325"}, {"ref": "reymaster/playground-s3e1-xgboost-reverse-geocoding", "kernel_id": "33959959"}, {"ref": "mohammadkashifunique/eda-training-predictions-xgb", "kernel_id": "33801561"}, {"ref": "mohammadkashifunique/removing-outlier-using-z-score", "kernel_id": "33821719"}, {"ref": "ashokkumargarain/notebook4c405ee30a", "kernel_id": "33897210"}, {"ref": "ashokkumargarain/notebookef73e089c4", "kernel_id": "33890911"}, {"ref": "ashokkumargarain/notebookec300f7062", "kernel_id": "33868732"}, {"ref": "mirmozavr/dataframe-size-reducer", "kernel_id": "33924410"}, {"ref": "realtimshady/ps-s3e1-clip-post-processing", "kernel_id": "33942875"}, {"ref": "realtimshady/lgbm-baseline", "kernel_id": "33865498"}, {"ref": "djwerterrichmond/parameter-tuning", "kernel_id": "33850291"}, {"ref": "jackysywk/my-first-participation-ever", "kernel_id": "33997838"}, {"ref": "alexeylyamzin/playground-s3e1-ridge-baseline-deepchecks-eda", "kernel_id": "33823458"}, {"ref": "kaushalkrishna2000/playground-competition-notebook-tensorflow-mode", "kernel_id": "33949997"}, {"ref": "kaushalkrishna2000/playground-competition-notebook", "kernel_id": "33878813"}, {"ref": "asimple/eda-baseline-playground-series", "kernel_id": "33812052"}, {"ref": "asimple/top-eda-ensembling-train-inferene-playground", "kernel_id": "33905269"}, {"ref": "behroozsohrabi/playground-nn-estimator-jan-2023", "kernel_id": "33971015"}, {"ref": "cyrilbourgeois/autogluon", "kernel_id": "33841365"}, {"ref": "salmarn/s3e1-eda-house-price-6-models-top-1", "kernel_id": "33947486"}, {"ref": "aaronjones32/predicting-house-valuation-with-neural-networks", "kernel_id": "33837885"}, {"ref": "sejoongkim/s03e01-linear-and-non-linear-regression", "kernel_id": "33801992"}, {"ref": "sejoongkim/s03e01-exploring-and-stacking-bare-models", "kernel_id": "33803337"}, {"ref": "dmitryuarov/ps-s3e1-coordinates-key-to-victory", "kernel_id": "33820780"}, {"ref": "tharunnayak14/ps-s3-e1-eda-training", "kernel_id": "33943910"}, {"ref": "hikmatullahmohammadi/playground-s3e1-california-house", "kernel_id": "33936261"}, {"ref": "donjoeml/catboost-hyperparameter-tuning", "kernel_id": "33946634"}, {"ref": "choisoonsin/eda-handling-outlier-randomforest", "kernel_id": "33827214"}, {"ref": "minaxiwadgure/ps-s3-e1-eda", "kernel_id": "33837189"}, {"ref": "khawajaabaidullah/a-simple-yet-effective-xgboost-baseline", "kernel_id": "33928154"}, {"ref": "casati8/kaggle-s3exp1-fastai", "kernel_id": "33810526"}, {"ref": "priyanagda/tps-jan-23-xgboost-baseline-external-data", "kernel_id": "33883412"}, {"ref": "pranayrishith16/playground-series-s3e1-how-not-to-code", "kernel_id": "33838720"}, {"ref": "gauravmalik26/final-submission-playground-series-season-3-ep-1", "kernel_id": "33996690"}, {"ref": "gauravmalik26/lightgbm-baseline-submission-cv-score-0-564", "kernel_id": "33830479"}, {"ref": "amoghgarg20/playground-s3e1-eda-ensemble", "kernel_id": "33864958"}, {"ref": "satoshiss/ps-s3e1-simple-solution-original-data", "kernel_id": "33847729"}, {"ref": "ashvanths/eda-fe-basics-tps-2k23", "kernel_id": "33804459"}, {"ref": "directt/playground-s03e01-top-5-catboost-lgbm", "kernel_id": "33868190"}, {"ref": "gracehephzibahm/25-base-models-ensemble-techniques-beginners", "kernel_id": "33933889"}, {"ref": "shubhambedi/playground-series-s03e01", "kernel_id": "33806485"}, {"ref": "mikhailma/adversarial-validation", "kernel_id": "33991162"}, {"ref": "mikhailzemskov/california-housing-eda-and-simple-model", "kernel_id": "33874032"}, {"ref": "barbagrande007/bbg007-s3e1", "kernel_id": "33855226"}, {"ref": "jonblanchard/tpsjan23-1-folium-lat-lon-plot", "kernel_id": "33882363"}, {"ref": "mukeshrajm/understanding-the-regression-problem", "kernel_id": "33834435"}, {"ref": "karenkao/titanic-data-science-solutions", "kernel_id": "33833105"}, {"ref": "ravi20076/playgrounds3e1-eda-model-pipeline", "kernel_id": "33799037"}, {"ref": "nhopet/praygroundss3e1-map2", "kernel_id": "33970397"}, {"ref": "nhopet/playgroundss3e1-map", "kernel_id": "33952536"}, {"ref": "sfktrkl/tps-jan-2023", "kernel_id": "33804611"}, {"ref": "predaddict/conformal-predictive-distributions-pss3-e1", "kernel_id": "33878471"}, {"ref": "samuelcortinhas/ps-s3e1-house-price-prediction", "kernel_id": "33811408"}, {"ref": "anurag629/tabular-regression-with-different-model", "kernel_id": "33800374"}, {"ref": "shubhamkumarvaish/ps-s3e1-coordinates-small-change", "kernel_id": "33862570"}, {"ref": "ryanirl/ps-s03e01-main-notebook-xgb-lgbm-cb", "kernel_id": "33887614"}, {"ref": "maxencefzr/ps-s3e1-eda-fe-catboost", "kernel_id": "33803869"}, {"ref": "alessandrozanette/playground-series-s3e1-xgboost-cv", "kernel_id": "33806731"}, {"ref": "telahe/playground-s03e01", "kernel_id": "33847624"}, {"ref": "khashayarrahimi94/pse1-most-simple-approach-just-3-functions", "kernel_id": "33879364"}, {"ref": "shivam2111/catboost-pgs-s3e1", "kernel_id": "33970084"}, {"ref": "anubhavgoyal10/ps-season-3-e1-california-housing-price", "kernel_id": "33834220"}, {"ref": "shiv7080/finally-i-started", "kernel_id": "33832929"}, {"ref": "sarthak333/tps-jan-baseline", "kernel_id": "33850601"}, {"ref": "chunweishen/eda-simple-model-original-data-submission", "kernel_id": "33803771"}, {"ref": "chunweishen/ps-s03e01-ensembling", "kernel_id": "33859793"}, {"ref": "dimitriosfoteinos/feature-engineering-distance-from-the-sea", "kernel_id": "33959587"}, {"ref": "oenvespa/playground-series-s3-ep1", "kernel_id": "33828718"}, {"ref": "prabhanjanjadhav/pss3e1-all-regression-models", "kernel_id": "33821871"}, {"ref": "prabhanjanjadhav/pss3e1-better-xgb-baseline-0-58690", "kernel_id": "33840650"}, {"ref": "ananyasingh008/playground-series-season-3-episode-1", "kernel_id": "33816891"}, {"ref": "tmleyncodes/distance-to-key-locations", "kernel_id": "33948315"}, {"ref": "mattop/catboost-xgboost-blend-ps-s3-e1", "kernel_id": "33819355"}, {"ref": "mattop/playground-series-s3-e1-eda-pca", "kernel_id": "33799217"}, {"ref": "killswitch10/playground-s3-e1-lgbmregressor", "kernel_id": "33808196"}, {"ref": "killswitch10/playground-s3-e1-regressiontree", "kernel_id": "33840713"}, {"ref": "alexandershumilin/playground-series-s3-e1-lightautoml", "kernel_id": "33809394"}, {"ref": "alexandershumilin/playground-series-s3-e1-keras-nn", "kernel_id": "33806878"}, {"ref": "alexandershumilin/playground-series-s3-e1-catboost-xgboost-lgbm", "kernel_id": "33805444"}, {"ref": "viktortaran/ps-s-3-e-1", "kernel_id": "33795911"}, {"ref": "badice/playground-series-s3-e1", "kernel_id": "33838796"}, {"ref": "ramendrachaudhary/playground-series-season-3-episode-1", "kernel_id": "33809990"}, {"ref": "kirillka95/ps-s3e01-checking-how-original-data-helps", "kernel_id": "33958562"}, {"ref": "kirillka95/ps-s3e01-tensorflow-approach-kfold", "kernel_id": "33960966"}, {"ref": "kirillka95/ps-s3e01-tensorflow-approach", "kernel_id": "33961199"}, {"ref": "belati/psse1-complete-eda-and-feature-engineering", "kernel_id": "33821177"}, {"ref": "soumendraprasad/eda-handling-skewness-outlier-baseline", "kernel_id": "33825774"}, {"ref": "soumendraprasad/eda-baseline-xgb", "kernel_id": "33905323"}, {"ref": "escasinas/eda-ps-season-3-episode-1", "kernel_id": "33803059"}, {"ref": "aassie/s3e1-r-my-very-first-kaggle-notebook-final", "kernel_id": "33886366"}, {"ref": "anshv2/playground-s3e1", "kernel_id": "33989065"}, {"ref": "sharvalishinde/pss3e1-histgradientboost-lbgm-xgboost-ensembling", "kernel_id": "33873657"}, {"ref": "vitaliyshpak/ps-s3e1-xgb-lgmb-catboost-eda", "kernel_id": "33909310"}, {"ref": "madyyyy/s03e01-eda-baselines-original-data", "kernel_id": "33808730"}, {"ref": "inaciobr/ps-s03e01-geopandas-eda-knn-catboost", "kernel_id": "33917661"}, {"ref": "nnjjpp/imputing-censored-data-using-em", "kernel_id": "34159780"}, {"ref": "nikkitha8/playground-series-season-3-episode-1", "kernel_id": "34255533"}, {"ref": "kajubadaam/simple-housing-catboost", "kernel_id": "34021585"}, {"ref": "stpeteishii/pss3-ep1-visualize-importance", "kernel_id": "34231413"}, {"ref": "lbrarali/california-housing-data", "kernel_id": "34711799"}, {"ref": "lusfernandotorres/playground-s03e01-house-price-prediction", "kernel_id": "34502048"}, {"ref": "kattat/playgroundseries-3x01-house-prices-tensorflow", "kernel_id": "34460377"}, {"ref": "sagar2168616/california-house-predictions-xgboost-regressor", "kernel_id": "34003277"}, {"ref": "praneeel/pss3e1", "kernel_id": "34086805"}, {"ref": "nishantborkar/xgbboost-for-best-accuracy", "kernel_id": "34292897"}, {"ref": "jeyasrisenthil/california-housing-data", "kernel_id": "34461030"}, {"ref": "ashest/housing-lgbm", "kernel_id": "34071282"}, {"ref": "semjinwu/house-price-by-simple-xgboot", "kernel_id": "34070618"}, {"ref": "lizhecheng/s3e1-two-models-california-housing-prediction", "kernel_id": "35615892"}, {"ref": "lavanyatewari/notebook7943e7a57b", "kernel_id": "35373843"}, {"ref": "rutujab99/ps3e1-eda-fe-pipeline-catboost-housepricepred", "kernel_id": "36007035"}, {"ref": "aryansingh0909/playground-series-s3e1-logistic-regression", "kernel_id": "36213754"}, {"ref": "lequanghai/playgrounds03e01-xgboost-geo-fe", "kernel_id": "37031028"}, {"ref": "suzzystranger/disaster-tweets-pt1-multinomialnb", "kernel_id": "38949847"}, {"ref": "emperorpein/calforniahousing", "kernel_id": "38630000"}, {"ref": "amanjha10/tabular-california-dataset", "kernel_id": "38776691"}, {"ref": "pranjalpokhrel/regression-assignment", "kernel_id": "38650063"}, {"ref": "naziakamali/california-housing-submission", "kernel_id": "38943206"}, {"ref": "anjusukumaran4/california-house-price-prediction", "kernel_id": "38531580"}, {"ref": "zzzpai/nasy1", "kernel_id": "38605621"}, {"ref": "prarthanachalise/californiahousing", "kernel_id": "38776939"}, {"ref": "coinshot/california-housing-model", "kernel_id": "38018618"}, {"ref": "rakshyabhusal/regression-with-a-tabular-california-housing-datas", "kernel_id": "38726863"}, {"ref": "prasiddhakoirala/calfornia-housing", "kernel_id": "38773236"}, {"ref": "faelk8/ps-3-1-catboost-xgboost-lgbm", "kernel_id": "40662335"}, {"ref": "jaygohel/playground-series-seasn-3-ep-1-lr-pr-xgboost", "kernel_id": "40601975"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "inversion/make-synthetic-california-housing-data", "kernel_id": "41868816"}, {"ref": "adrielmori/regression-prediction-intervals-with-mapie", "kernel_id": "41703451"}, {"ref": "lakshay13/notebook4238f2a24a", "kernel_id": "41309765"}, {"ref": "peeyushaga/eda-with-lightbgm", "kernel_id": "44588147"}, {"ref": "elanderos/ps03e01-eda", "kernel_id": "45615515"}, {"ref": "elanderos/ps03e01-models", "kernel_id": "46141164"}, {"ref": "tarekyahia/modeling", "kernel_id": "48074778"}, {"ref": "venkatprabup21alr051/californiahousingregression", "kernel_id": "48813997"}, {"ref": "carlmcbrideellis/locally-weighted-conformal-regression", "kernel_id": "49894227"}, {"ref": "khushibansal15/regression-with-california-housing-data-eda", "kernel_id": "49748886"}, {"ref": "manvendrarajsingh/notebook5be1297eaf", "kernel_id": "49574116"}, {"ref": "akshita0560/regression-with-a-tabular-california-housing-datas", "kernel_id": "49791831"}, {"ref": "qubebox/california-housing-dataset", "kernel_id": "49516159"}, {"ref": "ishaangaba17/tabular-california-housing-cat-boost-regressor", "kernel_id": "49516015"}, {"ref": "neelakshigupta/regression-housing-data", "kernel_id": "49791825"}, {"ref": "palak98039/regression-with-a-tabular-california-housing-datas", "kernel_id": "49395205"}, {"ref": "kushagrekaushik/regression-with-a-tabular-california-housing-data", "kernel_id": "49395207"}, {"ref": "ashikha03/california-dataset", "kernel_id": "49747649"}, {"ref": "avinashtokada25/california-housing", "kernel_id": "49916482"}, {"ref": "marcogtt/playground-competition-s3e1", "kernel_id": "50263802"}, {"ref": "hehetrying/notebookad6afa0b9d", "kernel_id": "50740242"}, {"ref": "amanaayush/californiahousingregression-49", "kernel_id": "50475168"}, {"ref": "namishjindal4/regression-california-hosuing-dataset", "kernel_id": "50071058"}, {"ref": "nishthakumari20/regression-with-calfornia-housing-dataset", "kernel_id": "50062090"}, {"ref": "vijaypatha/vp-regression-with-tabular-california-housing-data", "kernel_id": "51206035"}, {"ref": "ramjaslangdi/regression-with-a-tabular-california-housing-ds", "kernel_id": "51924242"}, {"ref": "iyasha/regression-tabular-california-housing-dataset", "kernel_id": "51066625"}, {"ref": "kunal025/regression-with-a-tabular-california-housing-data", "kernel_id": "51019562"}, {"ref": "himanshu230/notebooke52a9fe82c", "kernel_id": "51065506"}, {"ref": "mayankgupta9/notebook7bcf488a2c", "kernel_id": "51036440"}, {"ref": "paramvir705/regression-with-a-tabular-california-housing-ds", "kernel_id": "51927867"}, {"ref": "appliedailab/midterm-kagglehousing", "kernel_id": "52933300"}, {"ref": "surajsundar15/calhousing-regression", "kernel_id": "52170690"}, {"ref": "tylerblack117/tylerblack-midterm", "kernel_id": "52944249"}, {"ref": "audreywarrene/march20-audreywarrene-midterm-inclass", "kernel_id": "53092837"}, {"ref": "buluttok/bulut-midterm-fixed", "kernel_id": "53094231"}, {"ref": "alliehumphrey/alliehumphrey-inclassmarch20", "kernel_id": "53092833"}, {"ref": "ericguetta/march-20-eric-guetta", "kernel_id": "53092710"}, {"ref": "phillipnikolov/phillipnikolov-in-class-midterm-rework", "kernel_id": "53092611"}, {"ref": "soheilmohammadpour/california-housing-prediction", "kernel_id": "54880765"}, {"ref": "jeeteshrajpal2/california-housing", "kernel_id": "54194113"}, {"ref": "hikmetdevlet/11-tabular-california-housing-dataset", "kernel_id": "60892338"}, {"ref": "hoahong025/neuralnetwork", "kernel_id": "60472032"}, {"ref": "mactuan/regression-with-neural-network", "kernel_id": "60474178"}, {"ref": "abhishek0032/linear-regression-guide-ca-housing-dataset", "kernel_id": "63422190"}, {"ref": "surajwate/xgb-regressor", "kernel_id": "65143914"}, {"ref": "saicourse/sai-10-lightautoml", "kernel_id": "70085661"}, {"ref": "bttqbelpw/sai-10-lightautoml", "kernel_id": "70498580"}, {"ref": "bttqbelpw/playground-series-s3-e1-lightautoml", "kernel_id": "70034558"}, {"ref": "bttqbelpw/ps-s3e1-coordinates-key-to-victory", "kernel_id": "70034562"}, {"ref": "landge0507/pandas-operations", "kernel_id": "73909967"}, {"ref": "alferdize/eda-california-housing", "kernel_id": "75469830"}, {"ref": "ldausl/notebookb5cdce6f92", "kernel_id": "76404452"}, {"ref": "ldausl/ps-s3e1-coordinates-key-to-victory", "kernel_id": "76404476"}, {"ref": "ldausl/eda-training-a-first-model-submission", "kernel_id": "76404491"}, {"ref": "serhiizhukov/california-housing-linearregression", "kernel_id": "78534145"}, {"ref": "dprudhviraj/prudhvi-raj-dasari-midterm", "kernel_id": "79233147"}, {"ref": "jmt9454/townsend-midterm-kagglehousing", "kernel_id": "79234936"}, {"ref": "timinsley/midterm-kagglehousing-insley", "kernel_id": "79236765"}, {"ref": "loganbu/logan-midterm-kagglehousing", "kernel_id": "79303056"}, {"ref": "priyankamadishetty/priyankamidterm", "kernel_id": "79246027"}, {"ref": "joeymills/joeymillsmidterm", "kernel_id": "79259122"}, {"ref": "williamebright/williamebrightmidterm", "kernel_id": "79237839"}, {"ref": "musabs2802/california-housing-regression", "kernel_id": "80141393"}, {"ref": "cbdsigmas/california-house-prices-using-linear-regression", "kernel_id": "83817298"}, {"ref": "asfagagas/california-housing-linearregression-3f7ddc", "kernel_id": "84967039"}, {"ref": "tasokupatadze/notebookcfc2f81530", "kernel_id": "103999670"}, {"ref": "davidinaneishvili/final-project", "kernel_id": "103871018"}, {"ref": "sabastephanishvili/notebookac8cf7f458", "kernel_id": "103984485"}, {"ref": "tasokupatadze/fork-of-notebookcfc2f81530-6e0618", "kernel_id": "105426024"}, {"ref": "arlcord/neural-network-for-regression-with-pytorch", "kernel_id": "109260503"}, {"ref": "potapovaolesya/neural-network-for-regression-with-pytorch", "kernel_id": "111993007"}, {"ref": "tmnff0/notebook41fbcca9a8", "kernel_id": "120141741"}, {"ref": "serjoarr/notebook89e0e4b9ae", "kernel_id": "120141140"}, {"ref": "rostislavbabich176/dz-9-automl", "kernel_id": "126173528"}]}
{"competition_id": "44630", "kernels": [{"ref": "infrarosso/automl-autoviz-pycaret", "kernel_id": "30866474"}, {"ref": "phongnguyen1/s3e3-from-eda-to-final-submission", "kernel_id": "33998875"}, {"ref": "cv13j0/pss-3-episode-2-monday-night-model", "kernel_id": "33998196"}, {"ref": "datascientistsohail/ps-se01ep02-randomforestclassifier", "kernel_id": "33997756"}, {"ref": "jacoporepossi/optimizing-ensemble-weights-with-gradient-descent", "kernel_id": "33995222"}, {"ref": "craigmthomas/play-s3e2-eda-models", "kernel_id": "33996634"}, {"ref": "jcaliz/ps-s03e02-a-complete-eda", "kernel_id": "33995092"}, {"ref": "rajsengo/kmeans-smote-xgboost-and-optuna", "kernel_id": "33997219"}, {"ref": "abdoulayebalde/pss3-episode-2-eda-catboost-score-0-8669", "kernel_id": "33998138"}, {"ref": "ranjeetshrivastav/playground-january-series-xgboost-baseline", "kernel_id": "33800228"}, {"ref": "desalegngeb/pss-3-episode-2-stroke-prediction", "kernel_id": "33995379"}, {"ref": "sergiosaharovskiy/ps-s3e2-2023-eda-and-base-pytorch-model", "kernel_id": "33998548"}, {"ref": "gauravmalik26/catboost-baseline-submission", "kernel_id": "33999061"}, {"ref": "satoshiss/stroke-prediction-ps3e2", "kernel_id": "33996369"}, {"ref": "barbagrande007/bbg007-s3e2", "kernel_id": "33995166"}, {"ref": "bechirkarmeni/ps3e1-automl-h2o", "kernel_id": "33995467"}, {"ref": "chunweishen/ps-s03e02-eda-baseline-submission", "kernel_id": "33996010"}, {"ref": "mattop/playground-series-s3-e2-eda-mca", "kernel_id": "33995517"}, {"ref": "alexandershumilin/ps-s3-e2-ensemble-model-addition-data", "kernel_id": "33998703"}, {"ref": "viktortaran/ps-s-3-e-2", "kernel_id": "33997435"}, {"ref": "soumendraprasad/eda-baseline-xgb", "kernel_id": "33905323"}, {"ref": "kmskojim/pgs230102-strokeprediction", "kernel_id": "33995869"}, {"ref": "n3n77i/1d-mean-geometric", "kernel_id": "34228389"}, {"ref": "n3n77i/fork-of-1d-mean", "kernel_id": "34093527"}, {"ref": "n3n77i/1d-mean", "kernel_id": "34055366"}, {"ref": "scirpus/jeepy-stroke", "kernel_id": "34206597"}, {"ref": "usharengaraju/tfdf-rf-proximities-projections-w-b", "kernel_id": "34040465"}, {"ref": "tilii7/visualizing-risk-factors-for-stroke", "kernel_id": "34055207"}, {"ref": "tilii7/modeling-stroke-dataset-with-lasso-regression", "kernel_id": "34025186"}, {"ref": "cv13j0/pss-3-episode-2-lasso-more-ideas", "kernel_id": "34137235"}, {"ref": "cv13j0/pss-3-episode-2-pycaret-ideas", "kernel_id": "34133160"}, {"ref": "vjpkaggle/stroke-prediction-playground-s3e2", "kernel_id": "34127625"}, {"ref": "edouardo/my-stroke-of-insight", "kernel_id": "34022405"}, {"ref": "kim145/extended-eda-seaborne-baseline-models", "kernel_id": "34000121"}, {"ref": "kirkdco/xgboost-plays03e02-first-place", "kernel_id": "34157060"}, {"ref": "a45632/s3e2-lofo", "kernel_id": "34145749"}, {"ref": "nightwolfbrooks/linear-svm-with-hyperparameter-tuning", "kernel_id": "34157814"}, {"ref": "rishabh15virgo/eda-xgb-reg-tunev1", "kernel_id": "34066942"}, {"ref": "docxian/ps-s3-e2-detailed-correlation-analysis", "kernel_id": "34080784"}, {"ref": "datascientistsohail/lgbm-hyperparametertuning-ps-se03ep01", "kernel_id": "34168849"}, {"ref": "datascientistsohail/bayesian-optimisation-ps-se01e02", "kernel_id": "34085842"}, {"ref": "yururoi/lightgbm-simple-baseline", "kernel_id": "34004169"}, {"ref": "yururoi/ensemble-lgbm-xgb-catboost", "kernel_id": "34016030"}, {"ref": "jonbown/tabular-ml-pipeline-speedml-tpot", "kernel_id": "34081563"}, {"ref": "likai97/top-25-notebook-xgboost-optuna", "kernel_id": "34198018"}, {"ref": "oscarm524/ps-s3-ep2-eda-modeling", "kernel_id": "34004826"}, {"ref": "agorinenko/s3e2-born-to-win", "kernel_id": "34047420"}, {"ref": "jacoporepossi/no-time-for-eda-pandas-profiling-to-the-rescue", "kernel_id": "34018132"}, {"ref": "sharansmenon/stroke-prediction-with-pytorch", "kernel_id": "34156580"}, {"ref": "sharansmenon/stroke-prediction-with-catboost", "kernel_id": "34156327"}, {"ref": "samir95/stroke-prediction-ensemble-baseline", "kernel_id": "34006812"}, {"ref": "harits/stacking-model-in-stroke-prediction", "kernel_id": "34355914"}, {"ref": "mkr9395/eda-base-model-catboost", "kernel_id": "34150154"}, {"ref": "tylerjthomas9/julia-stacking-with-mlj-tps-jan2023-2", "kernel_id": "34022418"}, {"ref": "matohin/notebook84e9cc76fb", "kernel_id": "34325508"}, {"ref": "kajubadaam/simple-predict-stroke-gradient-boosting", "kernel_id": "34069462"}, {"ref": "omarvivas/lgbm-tpgs-s3e2-v1", "kernel_id": "34052696"}, {"ref": "omarvivas/cb-tpgs-s3e2-v1", "kernel_id": "34082770"}, {"ref": "omarvivas/xgb-tpgs-s3e2-v1", "kernel_id": "34082824"}, {"ref": "omarvivas/mixoof-pgs3s2-3models-v1", "kernel_id": "34082924"}, {"ref": "omarvivas/mixmodel", "kernel_id": "34082975"}, {"ref": "omarvivas/keras-tpgs-s3e2-v1", "kernel_id": "34110771"}, {"ref": "omarvivas/torch-tpgs-s3e2-v1", "kernel_id": "34109183"}, {"ref": "possiblemanjr/ps-s3e2-eda-visualization", "kernel_id": "34089938"}, {"ref": "stpeteishii/pss3-ep2-visualize-importance", "kernel_id": "34123375"}, {"ref": "mmellinger66/ps3e2-model-lab", "kernel_id": "34009586"}, {"ref": "darkmatter2222/susman-viz-feature-distribution-cyberpunk", "kernel_id": "34157862"}, {"ref": "prem00/stroke-prediction-beginner-friendly", "kernel_id": "34007445"}, {"ref": "mpwolke/to-clone-or-not-to-avoid-strokes", "kernel_id": "34021529"}, {"ref": "mpwolke/aging-strong-risk-factor-shapvalues", "kernel_id": "34052091"}, {"ref": "bouchenemehdi/stroke-prediction-atogluon-magic", "kernel_id": "34172591"}, {"ref": "zarahshibli/stroke-prediction-eda", "kernel_id": "34033907"}, {"ref": "hasanbasriakcay/pss3-2-eda-fe-modeling", "kernel_id": "34032492"}, {"ref": "arunpurakkatt/lgbm-catboost-logisticregression", "kernel_id": "34025452"}, {"ref": "nityampareek/ps-s3-ep2-data-augmentation-lightgbm", "kernel_id": "34108076"}, {"ref": "saraswatitiwari/playground-series-season-3-episode-2", "kernel_id": "34030710"}, {"ref": "erenakbulut/ps-s3-e2-randforest-smote-extra-data", "kernel_id": "34011028"}, {"ref": "erenakbulut/catboost-score-0-87277", "kernel_id": "34001479"}, {"ref": "erenakbulut/ps-s3-e2-castboost-0-87621-extra-data", "kernel_id": "34003912"}, {"ref": "erenakbulut/pyspark-data-wrangling-exercise-sql-stroke", "kernel_id": "34115297"}, {"ref": "mukaseevru/ps-s3e2-lama-lightautoml-extra-data", "kernel_id": "34074325"}, {"ref": "mukaseevru/ps-s3e2-lama-lightautoml-nn-and-extradata", "kernel_id": "34131926"}, {"ref": "carlmcbrideellis/filtering-outliers-using-the-isolation-forest", "kernel_id": "34105804"}, {"ref": "lavagod/pc-s0302-minimum-code-0-81996", "kernel_id": "34019452"}, {"ref": "knedliky/ps-s3-e2-exploratory-data-analysis", "kernel_id": "34136365"}, {"ref": "akioonodera/ps-3-02-lgbm-bin", "kernel_id": "34001870"}, {"ref": "kdmitrie/pgs32-baseline", "kernel_id": "34035418"}, {"ref": "sanjaylalwani/ps-classification", "kernel_id": "34013020"}, {"ref": "nancysamuel/pss-3-ep-2-simple-eda", "kernel_id": "34003302"}, {"ref": "lonnieqin/stroke-prediction-with-catboost", "kernel_id": "34134295"}, {"ref": "soupmonster/lgbm-starter", "kernel_id": "34002551"}, {"ref": "ericdeuber/stroke-predictions-ps-s3-e2", "kernel_id": "34879050"}, {"ref": "waleed01/plots-for-eda-and-predictions", "kernel_id": "34008124"}, {"ref": "dhiamansourkhouja/stroke-prediction", "kernel_id": "34363924"}, {"ref": "yarribryn/baseline-logistic-regression-w-resample", "kernel_id": "34046658"}, {"ref": "niyanthapandiyan/pg-s3-e2-notebook", "kernel_id": "34061376"}, {"ref": "pauloalvaro/playground-s3e2-ptbr", "kernel_id": "34085715"}, {"ref": "tracyporter/play-3-2", "kernel_id": "34004775"}, {"ref": "ahmedhammad01/lb-0-86-logistic-regression-vs-other-models", "kernel_id": "34009414"}, {"ref": "maazkarim/tuning-neural-networks-with-keras-tuner", "kernel_id": "34095311"}, {"ref": "poushalimukherjee/eda-pg-series-s03e02", "kernel_id": "34012636"}, {"ref": "pranjalrathore/stroke-prediction", "kernel_id": "34071610"}, {"ref": "karthikvarkala/heart-stroke", "kernel_id": "34162234"}, {"ref": "jaga360/playground-series-s3-e2", "kernel_id": "34089674"}, {"ref": "leesstephanie/stroke-prediction-playground-s3e2-2023", "kernel_id": "34000380"}, {"ref": "vad13irt/ps-s03e02-eda-baseline", "kernel_id": "34010507"}, {"ref": "natchimuthun/stroke-prediction-eda-models", "kernel_id": "34139608"}, {"ref": "kaushalkrishna2000/playground-s03e02", "kernel_id": "34016998"}, {"ref": "behroozsohrabi/pandas-vs-polars-a-bear-fight", "kernel_id": "34414774"}, {"ref": "behroozsohrabi/ps-s3-e2-data-preparation", "kernel_id": "34132216"}, {"ref": "starkandroid/begginer-s-approach-to-pss3e2", "kernel_id": "34049357"}, {"ref": "dmitryuarov/ps-s3e2-catboost-lasso-nn-fiasco", "kernel_id": "34050338"}, {"ref": "tharunnayak14/ps-s03e02-eda-data-visualization-training", "kernel_id": "34018219"}, {"ref": "hikmatullahmohammadi/stroke-prediction-ps-s3-ep2-modeling-eda", "kernel_id": "34047308"}, {"ref": "ravishah1/comparing-categorical-encoders", "kernel_id": "34130375"}, {"ref": "prutsaowaprut/playground-s3e2-extra-dataset-xgboost", "kernel_id": "34176504"}, {"ref": "donjoeml/calibrated-stacking-classifier-auc-0-895", "kernel_id": "34144053"}, {"ref": "ayushksingh28/submission", "kernel_id": "34183570"}, {"ref": "khawajaabaidullah/ensemble-catboost-lgbm-xgboost", "kernel_id": "34018165"}, {"ref": "priyanagda/ps-3-02-baseline-lightgbm-external-data", "kernel_id": "34001628"}, {"ref": "gauravmalik26/final-submission-playground-series-season-3-ep-2", "kernel_id": "34190863"}, {"ref": "amoghgarg20/playground-s3e2", "kernel_id": "34097919"}, {"ref": "jillanisofttech/tabular-classification-stroke-prediction-95-acc", "kernel_id": "34439096"}, {"ref": "dhirajkumar612/multiple-models-comparison", "kernel_id": "34012538"}, {"ref": "marwanyasser/stroke-prediction", "kernel_id": "34034408"}, {"ref": "osoomin/stroke-prediction-sue", "kernel_id": "34058069"}, {"ref": "ahana09/ps-s3e2", "kernel_id": "34073728"}, {"ref": "mahyararani/playground3-e2-top-5", "kernel_id": "34448583"}, {"ref": "salmazakariahassan/stroke-prediction-score-0-89557", "kernel_id": "34248937"}, {"ref": "muhammadasifali/stroke-prediction", "kernel_id": "34126974"}, {"ref": "satyaprakashshukl/playground-series-s-3-e-2-eda", "kernel_id": "34028238"}, {"ref": "ebrahimghantiwala/neural-model", "kernel_id": "34142308"}, {"ref": "mukeshrajm/stroke-classification-using-various-techniques", "kernel_id": "34069040"}, {"ref": "ravi20076/playgrounds3e2-eda-focalloss", "kernel_id": "34001078"}, {"ref": "sujaykapadnis/model1-lr", "kernel_id": "34067820"}, {"ref": "ayushmehraa/eda-lg-sgdc-rf-ada-xg-ensemble-0-89", "kernel_id": "34231971"}, {"ref": "predaddict/conformal-prediction-pss3-e2", "kernel_id": "34120390"}, {"ref": "itsmegood/playground-series-season-3-2-stroke-prediction", "kernel_id": "34120102"}, {"ref": "samuelcortinhas/ps-s3e2-stroke-prediction-tensorflow", "kernel_id": "34100657"}, {"ref": "vision6/stroke-prediction", "kernel_id": "34173956"}, {"ref": "amrelsayeh/ps-s3e2", "kernel_id": "34091852"}, {"ref": "demko1/a-simple-pytorch-nn-baseline", "kernel_id": "34095841"}, {"ref": "sathyakrishnan12/strokeprediction-base-nb", "kernel_id": "34140259"}, {"ref": "ryanirl/s03e02-eda-catboost-baseline", "kernel_id": "34000359"}, {"ref": "kaggleqrdl/manual-ml", "kernel_id": "34059322"}, {"ref": "kaggleqrdl/example-using-pl-metric", "kernel_id": "34268350"}, {"ref": "maxencefzr/eda-quantization-boost-nn-lasso", "kernel_id": "34078622"}, {"ref": "burhanuddinlatsaheb/fast-eda", "kernel_id": "34013552"}, {"ref": "shivam2111/eda-xgboost-catboost", "kernel_id": "34000494"}, {"ref": "shiv7080/eda-confusion-matrix-explanation-beginner-way", "kernel_id": "34027507"}, {"ref": "qiaoningchen/stroke-prediction", "kernel_id": "34589971"}, {"ref": "qiaoningchen/stroke-prediction-playground-eda", "kernel_id": "34474313"}, {"ref": "marciamaa/beginner-s-approach-suggestions-are-appreciated", "kernel_id": "34147678"}, {"ref": "ananyasingh008/playground-series-ep-2", "kernel_id": "34070866"}, {"ref": "kholmogorovaaa/lustering-upsample-or-without-upsample", "kernel_id": "34041934"}, {"ref": "priyam8210/playgrnd2", "kernel_id": "34031439"}, {"ref": "priyam8210/playgrnd-series1", "kernel_id": "34091549"}, {"ref": "ashishkumarak/heart-stroke-prediction-by-nn-model-tensorflow", "kernel_id": "34059026"}, {"ref": "simranksaluja/stroke", "kernel_id": "34058234"}, {"ref": "sapnajha0304/playground-s3-ep2", "kernel_id": "34057990"}, {"ref": "sameekshanomula/playground", "kernel_id": "34088466"}, {"ref": "jethiwalasaivardhan/stroke-clf", "kernel_id": "34088533"}, {"ref": "alexandershumilin/ps-s3-e2-keras-nn", "kernel_id": "34029999"}, {"ref": "alexandershumilin/ps-s3-e2-lightautoml", "kernel_id": "34003105"}, {"ref": "manaidu/playground-series-s3e2", "kernel_id": "34006784"}, {"ref": "sagar2168616/tabular-playground-3-2-keras", "kernel_id": "34190405"}, {"ref": "nimishmehrotra/s03e02-eda-scaling-sampling-tuning", "kernel_id": "34033653"}, {"ref": "praneeel/pss3e2", "kernel_id": "34058678"}, {"ref": "debopomsutradhar/stroke-prediction", "kernel_id": "34122676"}, {"ref": "javohirtoshqorgonov/stroke-prediction-in-high-resolution", "kernel_id": "34029324"}, {"ref": "badice/tabular-classification-with-a-stroke-prediction", "kernel_id": "34078305"}, {"ref": "alpertekiin/stroke-prediction", "kernel_id": "34755266"}, {"ref": "tonychirilus/stroke-prediction-using-sklearn", "kernel_id": "34123697"}, {"ref": "kirillka95/ps-s3e02-keras-nn-kfold-pub", "kernel_id": "34019697"}, {"ref": "kirillka95/ps-s03e02-lgbm-catboost-logisticregression", "kernel_id": "34015718"}, {"ref": "abraamadamidis/stroke-prediction-nn-model-tensorflow", "kernel_id": "34024634"}, {"ref": "itsnahm/fork-of-my-first-stroke-prediction", "kernel_id": "34612313"}, {"ref": "itsnahm/my-first-stroke-prediction", "kernel_id": "34600898"}, {"ref": "forbo7/ensembling-a-rf-gbm-and-nn-to-reach-91-position", "kernel_id": "34164955"}, {"ref": "viliuspstininkas/exploring-imbalanced-data", "kernel_id": "34012652"}, {"ref": "akritiupadhyayks/playground-january-2023", "kernel_id": "34002706"}, {"ref": "boydoimmanuel/stroke-prediction-eda-modelling", "kernel_id": "34062048"}, {"ref": "ashest/stroke", "kernel_id": "34047037"}, {"ref": "semjinwu/stroke-prediction-use-mlp", "kernel_id": "34042784"}, {"ref": "sharvalishinde/ps-s3e2-feature-engg-xgb", "kernel_id": "34040205"}, {"ref": "alphasupremez/pandas-eda", "kernel_id": "34138770"}, {"ref": "mecsico92/playground-series-season-3-episode-2", "kernel_id": "34177616"}, {"ref": "leehaeseung01/playgr-3-2", "kernel_id": "34147098"}, {"ref": "inaciobr/ps-s03e02-eda-model-ensemble", "kernel_id": "34017618"}, {"ref": "k0takahashi/ps-s3e2-2023-stroke-prediction-8th-place", "kernel_id": "34453022"}, {"ref": "matanhol/ps-s3e2-2023-stroke-prediction-8th-place", "kernel_id": "35370922"}, {"ref": "lizhecheng/s3e2-two-models-stroke-prediction", "kernel_id": "35610125"}, {"ref": "imtiazalam86/stroke-prediction-nn-model-tensorflow", "kernel_id": "35804686"}, {"ref": "andreeatamas/project", "kernel_id": "35983216"}, {"ref": "timothys5/playground-s3e2", "kernel_id": "36641329"}, {"ref": "kingsonn/notebook9fe207a8ef", "kernel_id": "37514229"}, {"ref": "emperorpein/strokeprediction", "kernel_id": "38541153"}, {"ref": "amanjha10/binary-classification-stroke-prediction", "kernel_id": "38776509"}, {"ref": "aagamanbhattarai/stroke-prediction", "kernel_id": "38582414"}, {"ref": "mehmetarifkuzgunnn/stroke-prediction-with-lgbm-classifier", "kernel_id": "38687173"}, {"ref": "egehedili/notebook8b9e6e5d37", "kernel_id": "38431273"}, {"ref": "prarthanachalise/strokeprediction", "kernel_id": "38766758"}, {"ref": "annamalkova88/analyzing-and-modeling-stroke-data-my-vers", "kernel_id": "38599005"}, {"ref": "prasiddhakoirala/stroke-prediction", "kernel_id": "38775847"}, {"ref": "richardsousaantunes/normaliza-o-com-cross-validation", "kernel_id": "39242374"}, {"ref": "hyebb05/playground13-2", "kernel_id": "39018854"}, {"ref": "osmanf/stroke-prediction-using-machine-learning", "kernel_id": "39225425"}, {"ref": "barkas074/stroke-prediction", "kernel_id": "39718419"}, {"ref": "alazgndz/notebook46c9a108bc", "kernel_id": "39130401"}, {"ref": "slavakruchkovenko/stroke-predict-228", "kernel_id": "39719890"}, {"ref": "serapic/binary-classification-danil-sokolov", "kernel_id": "39719122"}, {"ref": "maximchuikov/strokeprediction", "kernel_id": "39585872"}, {"ref": "luckyvalenok/stroke-prediction", "kernel_id": "39729920"}, {"ref": "gorosheek/stroke-prediction", "kernel_id": "39716075"}, {"ref": "sphinxan/notebookcas", "kernel_id": "39673363"}, {"ref": "faelk8/ps-3-2-umap-catboost-tensorflow", "kernel_id": "40845669"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "veronicaisakova/stroke-prediction", "kernel_id": "40167550"}, {"ref": "fuxpolina/stroke-competition", "kernel_id": "40147139"}, {"ref": "daelon/strokepredict", "kernel_id": "40117427"}, {"ref": "jaygohel/ps-s3-e2", "kernel_id": "41338060"}, {"ref": "lilflerkin/stroke-prediction", "kernel_id": "41254667"}, {"ref": "bhatnagardaksh/neural-network-from-scratch-numpy-pandas", "kernel_id": "42501953"}, {"ref": "sidharthjoly/stroke-detection", "kernel_id": "42981349"}, {"ref": "oyebamijimicheal/stroke-prediction-eda-voting-classifier", "kernel_id": "42442966"}, {"ref": "pranavmaheshwari2603/stroke-prediction", "kernel_id": "43271211"}, {"ref": "vinitkp/xgboost-plays03e02", "kernel_id": "45845306"}, {"ref": "swahajraza/stroke-prediction", "kernel_id": "45212709"}, {"ref": "aliosmanbayku/stroke-classification", "kernel_id": "47476467"}, {"ref": "tirthpatel70/binary-classification-with-a-tabular-stroke-predic", "kernel_id": "47152478"}, {"ref": "sentienttrapezoid/classification-with-a-stroke-prediction-dataset", "kernel_id": "67382932"}, {"ref": "chanchal24/stroke-prediction-using-ml", "kernel_id": "71822756"}, {"ref": "chanchal24/stroke-prediction-using-python", "kernel_id": "75023077"}, {"ref": "icomert/stroke-prediction-ml", "kernel_id": "79312138"}, {"ref": "stpeteishii/stroke-prediction-xgboost-pipeline", "kernel_id": "88883601"}, {"ref": "aljubair/tabular-stroke-pred", "kernel_id": "92660180"}, {"ref": "youngzhaoji/stroke-prediction-using-ml-6538d2", "kernel_id": "108467597"}, {"ref": "shubhampandey2004/brain-stroke-predict", "kernel_id": "112728465"}, {"ref": "abhinav4651/stroke-prediction", "kernel_id": "131685792"}]}
{"competition_id": "44631", "kernels": [{"ref": "infrarosso/automl-autoviz-pycaret", "kernel_id": "30866474"}, {"ref": "phongnguyen1/s3e3-from-eda-to-final-submission", "kernel_id": "33998875"}, {"ref": "harits/ibm-exploring-attrition-of-employee-data", "kernel_id": "33338037"}, {"ref": "ranjeetshrivastav/playground-january-series-xgboost-baseline", "kernel_id": "33800228"}, {"ref": "alexryzhkov/autowoe-starter-tps-january-23", "kernel_id": "34265393"}, {"ref": "n3n77i/1d-mean-geometric", "kernel_id": "34228389"}, {"ref": "radek1/eda-training-a-1st-model-submission", "kernel_id": "34187566"}, {"ref": "paddykb/ps-s3e3-gam-adversarial-checks", "kernel_id": "34196875"}, {"ref": "bcruise/pg-series-s03e03-risk-factors", "kernel_id": "34204416"}, {"ref": "bcruise/starting-strong-xgboost-lightgbm-catboost", "kernel_id": "34205057"}, {"ref": "rajeevctrl/ps-s3-e3-eda-modeling-submission", "kernel_id": "34233139"}, {"ref": "valentindefour/tps-s03e03-eda-automl-fun-explainable-ai", "kernel_id": "34204982"}, {"ref": "usharengaraju/integratedgradients-tensorflow-w-b", "kernel_id": "34233360"}, {"ref": "vaidyaprasad84/single-and-ready-to-mingle", "kernel_id": "34206837"}, {"ref": "vaidyaprasad84/third-time-s-the-charm", "kernel_id": "34282814"}, {"ref": "vaidyaprasad84/over-and-under-sampling-for-prediction", "kernel_id": "34212017"}, {"ref": "tilii7/modeling-attrition-dataset-with-keras", "kernel_id": "34191570"}, {"ref": "ryancaldwell/initial-lassocv", "kernel_id": "34187626"}, {"ref": "cv13j0/pss-3-episode-3-lama", "kernel_id": "34327464"}, {"ref": "cv13j0/pss-3-episode-3-monday-night-gbdt-nn", "kernel_id": "34188412"}, {"ref": "edouardo/scalded-catboost", "kernel_id": "34227519"}, {"ref": "rumasinha/eda-model-training-evaluation", "kernel_id": "34326686"}, {"ref": "manujosephv/ps3e3-pytorch-tabular-gate", "kernel_id": "34331712"}, {"ref": "maniceet/eda-xgboost-catboost-with-encodings-0-94", "kernel_id": "34218713"}, {"ref": "kirkdco/xgboost-s03e03", "kernel_id": "34301561"}, {"ref": "a45632/s3e3-lofo", "kernel_id": "34208320"}, {"ref": "rogeriodelfim/tps-jan-2023-e3-01-eda-lbgm-0-93541", "kernel_id": "34354605"}, {"ref": "danielliao/build-up-from-radek", "kernel_id": "34192273"}, {"ref": "nightwolfbrooks/linear-and-weighted-svm-with-hyperparameter-tuning", "kernel_id": "34219897"}, {"ref": "nnjjpp/model-ensemble-with-pca-ps-3-3", "kernel_id": "34385516"}, {"ref": "nnjjpp/eda-and-xgboost-baseline-ps3-3", "kernel_id": "34187477"}, {"ref": "rishabh15virgo/eda-with-pandas-profiling-baseline-all-you-need", "kernel_id": "34188950"}, {"ref": "rishabh15virgo/eda-with-pandas-profiling-xgb-reg-tunev1-all-y", "kernel_id": "34209610"}, {"ref": "maheswarareddyp/pl-series-s3e3-mahesh", "kernel_id": "34222032"}, {"ref": "jhotor/datasets-profile-simple-eda", "kernel_id": "34213565"}, {"ref": "docxian/ps-s3-e3-eda-and-autogluon", "kernel_id": "34215906"}, {"ref": "datascientistsohail/different-models-se03ep03", "kernel_id": "34361640"}, {"ref": "datascientistsohail/catboost-along-with-target-encoding", "kernel_id": "34377538"}, {"ref": "datascientistsohail/target-encoding-with-randomforest-se03ep03", "kernel_id": "34305072"}, {"ref": "datascientistsohail/just-a-simple-approach-rfc", "kernel_id": "34294031"}, {"ref": "ch124uec/eda-with-plotly-ensembling", "kernel_id": "34289891"}, {"ref": "slythe/eda-feature-analysis-to-improve-ml-modelling", "kernel_id": "34294344"}, {"ref": "oscarm524/ps-s3-ep3-eda-modeling", "kernel_id": "34187593"}, {"ref": "jacoporepossi/how-to-use-chatgpt-in-a-competition-eda-part-1", "kernel_id": "34194163"}, {"ref": "jacoporepossi/how-to-use-chatgpt-in-a-competition-final-part-3", "kernel_id": "34277613"}, {"ref": "jacoporepossi/how-to-use-chatgpt-in-a-competition-model-part-2", "kernel_id": "34214742"}, {"ref": "kimtaehun/simple-baseline-with-pipeline-why-workers-quit", "kernel_id": "34192209"}, {"ref": "samir95/random-forest-baseline", "kernel_id": "34262877"}, {"ref": "samir95/i-suck-at-eda-help-me", "kernel_id": "34235927"}, {"ref": "craigmthomas/play-s3e3-eda-models", "kernel_id": "34189125"}, {"ref": "craigmthomas/play-s3e3-target-encoding-leakage", "kernel_id": "34220092"}, {"ref": "pranav07/playground-s3e3-submission", "kernel_id": "34218233"}, {"ref": "mkr9395/catboost-classification-with-optuna-ps-s3e3", "kernel_id": "34196311"}, {"ref": "mkr9395/lightgbm-classification-with-optuna-woe-encoder", "kernel_id": "34349343"}, {"ref": "ifuurh/squeezing-ensembles-with-optuna", "kernel_id": "34191823"}, {"ref": "macroponix/easy-but-good-start-with-lgbm", "kernel_id": "34190111"}, {"ref": "omarvivas/xgb-tpgs-s3e3-v1", "kernel_id": "34187817"}, {"ref": "omarvivas/torch-tpgs-s3e3-v1", "kernel_id": "34187851"}, {"ref": "omarvivas/keras-tpgs-s3e3-v1", "kernel_id": "34187889"}, {"ref": "omarvivas/lgbm-tpgs-s3e3-v1", "kernel_id": "34187579"}, {"ref": "omarvivas/cb-tpgs-s3e3-v1", "kernel_id": "34187678"}, {"ref": "manavd22/catboost-bayesian-tuning-cv", "kernel_id": "34242003"}, {"ref": "possiblemanjr/pss3-3-simple-baseline-by-using-automl-package", "kernel_id": "34225282"}, {"ref": "faelk8/playground-s-3-e-3-eda-model", "kernel_id": "34211207"}, {"ref": "faelk8/catboost", "kernel_id": "34240751"}, {"ref": "stpeteishii/pss3-ep3-lgbm", "kernel_id": "34314304"}, {"ref": "stpeteishii/pss3-ep3-visualize-importance", "kernel_id": "34231233"}, {"ref": "mmellinger66/ps3e3-model-lab", "kernel_id": "34205815"}, {"ref": "mmellinger66/ps3e3-eda", "kernel_id": "34249555"}, {"ref": "validmodel/playground-s-3-e-3-eda-fe-fs-modeling", "kernel_id": "34193392"}, {"ref": "prem00/eda-using-correlation-keep-it-or-drop-it", "kernel_id": "34200343"}, {"ref": "mpwolke/employee-attrition-ipyvizzu", "kernel_id": "34189483"}, {"ref": "nkaria1/playground-jan-2023", "kernel_id": "34272696"}, {"ref": "zarahshibli/employees-attrition-prediction-eda-model", "kernel_id": "34193317"}, {"ref": "mshadfar/linear-discriminant-analysis-lda-score-0-91005", "kernel_id": "34196707"}, {"ref": "zuberrr/feature-engineering-w-xgboost-87-auc-in-10-mins", "kernel_id": "34192213"}, {"ref": "alxbkr/simple-automl-baseline-20-lines-of-code", "kernel_id": "34223737"}, {"ref": "erenakbulut/playground-s3e3-simple-baseline-horriblescore-d", "kernel_id": "34191800"}, {"ref": "mukaseevru/ps-s3e3-lama-lightautoml-extra-data", "kernel_id": "34245094"}, {"ref": "mukaseevru/ps-s3e3-lama-lightautoml-extra-data-nn", "kernel_id": "34258776"}, {"ref": "carlmcbrideellis/pytorch-tabular-gated-additive-tree-ensemble", "kernel_id": "34264417"}, {"ref": "lavagod/pc-s03e03-minimum-code-0-86235", "kernel_id": "34191821"}, {"ref": "sunilgautam/playground-series-s03e03", "kernel_id": "34203109"}, {"ref": "abdoulayebalde/eda-catboost-baseline-model-with-good-score", "kernel_id": "34204652"}, {"ref": "akioonodera/ps-3-03-lgbm-bin", "kernel_id": "34193144"}, {"ref": "kdmitrie/pgs33-eda-basic-test-of-models-blending", "kernel_id": "34196378"}, {"ref": "nancysamuel/pss-3-ep-3-eda", "kernel_id": "34162706"}, {"ref": "mobenmo/simple-xgboost-0-935-score", "kernel_id": "34354030"}, {"ref": "lonnieqin/employee-attrition-prediction-logistic-regression", "kernel_id": "34204952"}, {"ref": "lonnieqin/employee-attrition-prediction-with-dnn", "kernel_id": "34274185"}, {"ref": "ericdeuber/playground-series-s3e3-eda-baseline-models", "kernel_id": "34302135"}, {"ref": "khaledgamal1/ep3-3-model", "kernel_id": "34196697"}, {"ref": "khaledgamal1/first-time-doing-eda", "kernel_id": "34226380"}, {"ref": "gavisr/auto-eda-quick-easy-eda-for-beginners", "kernel_id": "34214424"}, {"ref": "tracyporter/play-3-3", "kernel_id": "34197111"}, {"ref": "tracyporter/play-3-3-log-reg", "kernel_id": "34205360"}, {"ref": "tracyporter/play-3-3-pred-probog", "kernel_id": "34202380"}, {"ref": "tracyporter/play-3-3-pred-prob-1", "kernel_id": "34202307"}, {"ref": "tracyporter/play-3-3-log-reg-sag", "kernel_id": "34225593"}, {"ref": "maazkarim/eda-feature-engineering-tensorflow-keras", "kernel_id": "34211761"}, {"ref": "desalegngeb/pss-3-e3-visuals-basic-models", "kernel_id": "34229764"}, {"ref": "poushalimukherjee/logreg-pg-series-s3e3", "kernel_id": "34255785"}, {"ref": "poushalimukherjee/eda-pg-series-s03e03", "kernel_id": "34192351"}, {"ref": "bogdansharshakov/s3e3-preinvestigation-tests", "kernel_id": "34322668"}, {"ref": "levvvvv/eda-insights-catboost-woe", "kernel_id": "34210179"}, {"ref": "ashokkumargarain/notebook5d5f1b2507", "kernel_id": "34286842"}, {"ref": "fuad0857/playground-series-with-tensorflow", "kernel_id": "34252526"}, {"ref": "natchimuthun/ps3-s3-e3-attrition-prediction-eda", "kernel_id": "34197441"}, {"ref": "kaushalkrishna2000/playground-s03e03", "kernel_id": "34203953"}, {"ref": "mohamedfarouk94/ps3-ep03", "kernel_id": "34365405"}, {"ref": "piyushm28/kaggle-playground-series-s3e3-lgbm-using-optuna", "kernel_id": "34240668"}, {"ref": "shtrausslearning/mllibs-module", "kernel_id": "34256926"}, {"ref": "fahaddalwai/s3e3-eda-and-testing-models", "kernel_id": "34192932"}, {"ref": "rizkynindra/employee-attrition-prediction", "kernel_id": "34225219"}, {"ref": "dmitryuarov/ps-s3e3-eda-random-forest-of-gbts", "kernel_id": "34241018"}, {"ref": "ducanger/ps-s3e3-woe-catboost", "kernel_id": "34190985"}, {"ref": "tharunnayak14/ps-s03e03-eda-training", "kernel_id": "34191411"}, {"ref": "hikmatullahmohammadi/employee-attrition-modeling-eda-ps-s3-ep3", "kernel_id": "34292019"}, {"ref": "prutsaowaprut/s3e3-grid-search-then-ensemble", "kernel_id": "34261593"}, {"ref": "prutsaowaprut/using-the-extra-dataset-as-a-starting-point", "kernel_id": "34189167"}, {"ref": "prutsaowaprut/s3e3-basic-catboost", "kernel_id": "34189649"}, {"ref": "vlad15lav/ps-s03e03-eda-for-all-columns", "kernel_id": "34304149"}, {"ref": "vlad15lav/ps-s03e03-lightgbm-optuna-cv", "kernel_id": "34343178"}, {"ref": "donjoeml/s3e3-modelcomparison-auc-0-93", "kernel_id": "34348438"}, {"ref": "odins0n/playground-s-3-e-3-eda-modelling", "kernel_id": "34187506"}, {"ref": "jimgruman/attrition-season-3-episode3-with-tidymodels", "kernel_id": "34300076"}, {"ref": "khawajaabaidullah/starting-strong-xgboost-lightgbm-catboost", "kernel_id": "34193782"}, {"ref": "gauravmalik26/eda-for-feature-engineering", "kernel_id": "34283154"}, {"ref": "gauravmalik26/final-submission-playground-series-season-3-ep-3", "kernel_id": "34387732"}, {"ref": "amoghgarg20/playground-s3e3-eda-ensemble", "kernel_id": "34299507"}, {"ref": "jillanisofttech/tabular-classification-with-an-employee-attrition", "kernel_id": "34380626"}, {"ref": "satoshiss/employee-attrition-prediction-ps3e3", "kernel_id": "34187801"}, {"ref": "ahana09/ps-s3e3", "kernel_id": "34239407"}, {"ref": "kotrying/recipes-for-optimization-of-multiple-models", "kernel_id": "34220337"}, {"ref": "mahyararani/playground3-e3-top-11", "kernel_id": "34448449"}, {"ref": "martynovandrey/ps-3-3-logisticregression-tuning", "kernel_id": "34311880"}, {"ref": "martynovandrey/ps-3-3-preprocessing", "kernel_id": "34334083"}, {"ref": "martynovandrey/ps-3-3-model-selection", "kernel_id": "34188867"}, {"ref": "martynovandrey/ps-3-3-fast-eda", "kernel_id": "34188598"}, {"ref": "martynovandrey/ps-3-3-lgbmclassifier-optuma-tuning", "kernel_id": "34231029"}, {"ref": "martynovandrey/ps-3-3-xgbclassifier-tuning", "kernel_id": "34230441"}, {"ref": "martynovandrey/ps-3-3-catboostclassifier-tuning", "kernel_id": "34220449"}, {"ref": "martynovandrey/ps-3-3-lgbmclassifier-tuning", "kernel_id": "34266807"}, {"ref": "barbagrande007/bbg007-s1e3", "kernel_id": "34187606"}, {"ref": "azazali/playground-series-ensemble-learning", "kernel_id": "34230096"}, {"ref": "satyaprakashshukl/ps-s3-e-3", "kernel_id": "34191171"}, {"ref": "satyaprakashshukl/playground-series-s-3-e-3-eda", "kernel_id": "34189289"}, {"ref": "mukeshrajm/beginner-pipeline-submission", "kernel_id": "34316564"}, {"ref": "nhopet/pss3e3-featuresvisualizaion", "kernel_id": "34237842"}, {"ref": "nirmalgaud/employee-attrition-prediction-using-ml", "kernel_id": "34369528"}, {"ref": "ankitladva/eda-modelling", "kernel_id": "34303574"}, {"ref": "samuelcortinhas/ps-s3e3-hill-climbing-like-a-gm", "kernel_id": "34277231"}, {"ref": "rossfriscia/pgs3e3-employee-attrition", "kernel_id": "34336754"}, {"ref": "amrelsayeh/pgs-s3e3-eda-beginner", "kernel_id": "34328758"}, {"ref": "klyushnik/playground-serie-for-the-first-time", "kernel_id": "34263130"}, {"ref": "kaggleqrdl/example-using-pl-metric", "kernel_id": "34268350"}, {"ref": "burhanuddinlatsaheb/fast-eda-ensembling-4-models", "kernel_id": "34193691"}, {"ref": "eshraqsaeed/emp-attrition-version1", "kernel_id": "34297793"}, {"ref": "manishwahale/ps-s3-e3-eda-ensemble", "kernel_id": "34188869"}, {"ref": "anubhavgoyal10/ps-season-3-e3-eda-catboost", "kernel_id": "34192801"}, {"ref": "eliotlacroix/ps-s3e3-exploration-via-random-forest", "kernel_id": "34212848"}, {"ref": "qiaoningchen/employee-attrition-xgb-gridsearchcv", "kernel_id": "34781387"}, {"ref": "qiaoningchen/employee-attrition-prediction", "kernel_id": "34653321"}, {"ref": "chunweishen/ps-s03e03-ensembling", "kernel_id": "34190136"}, {"ref": "chunweishen/ps-s03e03-eda-baseline-model-submission", "kernel_id": "34188476"}, {"ref": "solomonteng/simpleensemble-90-196", "kernel_id": "34302124"}, {"ref": "smackia/boosting-algos", "kernel_id": "34288022"}, {"ref": "snorfyang/easy-randomforest-approach", "kernel_id": "34201997"}, {"ref": "snorfyang/catboost-approach-with-optuna", "kernel_id": "34319421"}, {"ref": "kholmogorovaaa/unwanted-features-eda-submission", "kernel_id": "34190767"}, {"ref": "ashishkumarak/employee-retention-workforce-reduction-prediction", "kernel_id": "34203030"}, {"ref": "simranksaluja/playground-3", "kernel_id": "34252614"}, {"ref": "rashikaaagupta/tps-jan2023-s3e3", "kernel_id": "34206313"}, {"ref": "mattop/playground-series-s3-e3-eda", "kernel_id": "34187386"}, {"ref": "mattop/14th-place-catboost-xgboost-lgbm-ps-s3-e3", "kernel_id": "34387950"}, {"ref": "alexandershumilin/ps-s3-e3-ensemble-model-woe-encoding-optuna", "kernel_id": "34190906"}, {"ref": "alexandershumilin/ps-s3-e3-keras-nn", "kernel_id": "34195674"}, {"ref": "alexandershumilin/ps-s3-e3-lightautoml-woe-encoding", "kernel_id": "34194602"}, {"ref": "viktortaran/ps-s-3-e-3", "kernel_id": "34338660"}, {"ref": "magnussesodia/ps-s3-e3-final", "kernel_id": "34385449"}, {"ref": "manaidu/playground-series-s3e3", "kernel_id": "34229964"}, {"ref": "manojkumarsmk/playground-s3-e3-mk-s", "kernel_id": "34381497"}, {"ref": "javohirtoshqorgonov/employee-attrition-prediction-eda-roc-auc-0-88", "kernel_id": "34256537"}, {"ref": "shoabahamed/employee-attrition-eda-gridsearchcv-stacking", "kernel_id": "34206138"}, {"ref": "masayakawamata/top9-catboost-xgboost-lightgbm-ensemble", "kernel_id": "34235479"}, {"ref": "badice/playground-series-season-3-keras-preprocessing", "kernel_id": "34278713"}, {"ref": "nishantborkar/playground-ensembling", "kernel_id": "34317708"}, {"ref": "francescoliveras/playground-series-s3-ep3", "kernel_id": "34271449"}, {"ref": "kirillka95/keras-nn-layer-activations-ensemble", "kernel_id": "34296614"}, {"ref": "kirillka95/ps-s03e03-eda-16-models-test-0-94", "kernel_id": "34236732"}, {"ref": "kirillka95/ps-s03e03-eda", "kernel_id": "34200981"}, {"ref": "abraamadamidis/attrition-prediction-friendly-nn-tensorflow", "kernel_id": "34192970"}, {"ref": "belati/pss3e3-xgb-with-optuna", "kernel_id": "34326376"}, {"ref": "rohan8771/playground-s3e3-comprehensive-eda-modelling", "kernel_id": "34189769"}, {"ref": "kmskojim/pgs230103-ensemble-lgbm-cb-rf", "kernel_id": "34188516"}, {"ref": "muhammadumairab/playground-series-first-time-ever", "kernel_id": "34213996"}, {"ref": "mohammednabil98/hello", "kernel_id": "34227965"}, {"ref": "krviswanathan/employee-attrition-eda-catboost-0-94", "kernel_id": "34347372"}, {"ref": "iamnotashutosh/playground-s3-e3-eda-and-baisc-model", "kernel_id": "34244908"}, {"ref": "oldjerry/happy-new-year-9-kinds-of-models-ensemble", "kernel_id": "34269749"}, {"ref": "leehaeseung01/ps-s3e3-2", "kernel_id": "34329144"}, {"ref": "leehaeseung01/ps-s3-e3-practice", "kernel_id": "34328588"}, {"ref": "leehaeseung01/ps-s3-e3-first-experience", "kernel_id": "34366533"}, {"ref": "ksqrt9/keras-nn-written-by-korean", "kernel_id": "34250837"}, {"ref": "inaciobr/ps-s03e03-original-df-models-exploration", "kernel_id": "34330855"}, {"ref": "acastellanos/simple-solution-feateng", "kernel_id": "35888905"}, {"ref": "eslamfouad/using-random-forest-to-predict-playground-series", "kernel_id": "35475234"}, {"ref": "cipollinonewbie/random-forest-employee-retirement", "kernel_id": "35022860"}, {"ref": "vladimirguzanov/g-pss3e3-v1", "kernel_id": "35143057"}, {"ref": "vladimirguzanov/vlad-pss3e3-neuro", "kernel_id": "35142999"}, {"ref": "vladimirguzanov/g-pss3e3-catboost", "kernel_id": "35145389"}, {"ref": "timothys5/playground-s3e3", "kernel_id": "36643014"}, {"ref": "patriciaciortea/improved-vesion", "kernel_id": "36013768"}, {"ref": "patriciaciortea/initial-try", "kernel_id": "36003921"}, {"ref": "bonniehall/attrition-modeling-experimental-approaches", "kernel_id": "37385551"}, {"ref": "mohneetkaur/eda-logistic-regression-96-accuracy", "kernel_id": "37259053"}, {"ref": "mrsixalex/ps-s3e3-hill-climbing-like-a-gm", "kernel_id": "38253173"}, {"ref": "jungsooaimeelee/employee-attrition", "kernel_id": "38827750"}, {"ref": "salmatalatshaheen/ibm-dataset-eda-ml-model-data-visualization", "kernel_id": "38782031"}, {"ref": "caiogabrielmarinho/empregados", "kernel_id": "38904974"}, {"ref": "dharmaputra13/kelompok-ml-data-baru", "kernel_id": "39094527"}, {"ref": "muhannadmansour/eda-and-predicting-employee-attrition-98-accurac", "kernel_id": "39665304"}, {"ref": "kurniawandwisaputra/kelompok-ml-data-baru-64636a", "kernel_id": "39096105"}, {"ref": "spriya424/attrition-classification", "kernel_id": "39716490"}, {"ref": "faelk8/ps-3-3-kfold-catboost", "kernel_id": "40934517"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "nicoleone/notebookfb65c9635e", "kernel_id": "40989011"}, {"ref": "jeremiaaron/ensemble-models-with-hill-climbing-woe-encoding", "kernel_id": "40715779"}, {"ref": "vincentkaggle23/employee-attrition-prediction", "kernel_id": "41227374"}, {"ref": "runnanjiang/ibm-hr-employee-attrition-analytics", "kernel_id": "42013746"}, {"ref": "rickkmr/fieldtrip-ver1", "kernel_id": "43391208"}, {"ref": "mohamedkhaledidris/ibm-hr-ps-s03e03-ensembling", "kernel_id": "43574709"}, {"ref": "seherbal/binary-classification-with-a-tabular-employee", "kernel_id": "46530346"}, {"ref": "merakit/binary-classification-notebook", "kernel_id": "46418643"}, {"ref": "onurkoc83/ders-1", "kernel_id": "46521018"}, {"ref": "ukdemirtas/playgroundse3ep3-eda-xgbclassifier", "kernel_id": "46710329"}, {"ref": "vellyy/playground-s3e3", "kernel_id": "46341271"}, {"ref": "alierenekinci/futureengs-lof", "kernel_id": "46879323"}, {"ref": "alierenekinci/futureengs-zscore", "kernel_id": "46848781"}, {"ref": "oran11/employee-attrition", "kernel_id": "46307972"}, {"ref": "dangngoclinh/notebook2a26cd18fa", "kernel_id": "46859653"}, {"ref": "dangngoclinh/notebook16baeb8594", "kernel_id": "48466871"}, {"ref": "jatinthakur706/binary-classification-with-tabular-employee", "kernel_id": "49503171"}, {"ref": "jasmeet0516/binary-classification-with-a-tabular-employee", "kernel_id": "49501350"}, {"ref": "kaurneetlove/notebook97b654d8a0", "kernel_id": "49503541"}, {"ref": "vanshbatra10/easy-ensemble-xgb-rf-cat-89", "kernel_id": "50774057"}, {"ref": "suhawni/notebook5a7029051d", "kernel_id": "50706108"}, {"ref": "suhawni/notebook639087df23", "kernel_id": "50995691"}, {"ref": "rajneesh231/prediction-of-employee-atrrition", "kernel_id": "50701725"}, {"ref": "kunal025/binary-classification-with-a-tabular-employee-attr", "kernel_id": "51934879"}, {"ref": "iyasha/binary-classification-tabular-employee-attrition", "kernel_id": "52219456"}, {"ref": "cdr0101/binary-classification-employee-attrition", "kernel_id": "53970464"}, {"ref": "vanshikam28/tabular-employee-attrition", "kernel_id": "54186139"}, {"ref": "vivekrainaa/employee-attrition-prediction-eda-roc-a-7c3e17", "kernel_id": "55082673"}, {"ref": "shiburu/playground-sm", "kernel_id": "64968684"}, {"ref": "funxexcel/attrition-baseline-code", "kernel_id": "72717539"}, {"ref": "alexjiang1772/notebookff472cbf16", "kernel_id": "77355804"}, {"ref": "mesutbagl/binary-classification-employee-attrition", "kernel_id": "79180716"}, {"ref": "masrormako/binary-tabular-classification", "kernel_id": "82341275"}, {"ref": "anishreddy1/employee-attrition", "kernel_id": "85456988"}, {"ref": "ctoraq/my-pipeline", "kernel_id": "85727406"}, {"ref": "bagnarayanan/employee-attrition-prediction", "kernel_id": "85202458"}, {"ref": "serein68/employee-attrition-xgb-gridsearchcv", "kernel_id": "94892557"}, {"ref": "themreee/xgboost-and-lightgbm-with-optuna", "kernel_id": "105325629"}, {"ref": "manikantaviswa/employee-attrition-prediction-lightgbm-classifier", "kernel_id": "105891237"}, {"ref": "sajnatasneem/project2-playgrond", "kernel_id": "115792920"}, {"ref": "sajnatasneem/project1-ayground", "kernel_id": "115365001"}, {"ref": "sajnatasneem/fin-pro-best", "kernel_id": "116383443"}, {"ref": "sajnatasneem/playground3-project", "kernel_id": "116372438"}, {"ref": "sajnatasneem/project-new1", "kernel_id": "116381796"}, {"ref": "sajnatasneem/project4-playground", "kernel_id": "116378902"}, {"ref": "medaminhajhmida/best-submission", "kernel_id": "116117642"}, {"ref": "mutoy1/starting-strong-xgboost-lightgbm-catboost", "kernel_id": "119652402"}, {"ref": "mhskaya/employee-attrition-classifier", "kernel_id": "124556706"}]}
{"competition_id": "44632", "kernels": [{"ref": "slythe/powershap-automated-feature-selection-recursive", "kernel_id": "26815437"}, {"ref": "infrarosso/automl-autoviz-pycaret", "kernel_id": "30866474"}, {"ref": "ranjeetshrivastav/playground-january-series-xgboost-baseline", "kernel_id": "33800228"}, {"ref": "paddykb/ps-s3e4-lightautoml-multistart", "kernel_id": "34409165"}, {"ref": "bcruise/pg-series-s3e4-adversarial-validation", "kernel_id": "34406064"}, {"ref": "bcruise/pg-series-s3e4-av-sample", "kernel_id": "34467766"}, {"ref": "bcruise/s3e4-adversarial-validation-sample", "kernel_id": "34448677"}, {"ref": "phongnguyen1/s3e5-from-eda-to-final-submission", "kernel_id": "34386429"}, {"ref": "statchaitya/eda-logistic-regression-with-smote", "kernel_id": "34440348"}, {"ref": "vaidyaprasad84/ps3-e4-eda-sampling-ft", "kernel_id": "34415867"}, {"ref": "tilii7/there-are-many-many-duplicates", "kernel_id": "34476200"}, {"ref": "tilii7/the-autoencoder-says-that-data-is-different", "kernel_id": "34446533"}, {"ref": "tilii7/a-hard-way-to-get-0-9-on-public-lb", "kernel_id": "34543242"}, {"ref": "ryancaldwell/my-attempt-at-tilii-s-tsne-class-separation", "kernel_id": "34448522"}, {"ref": "ryancaldwell/fraud-detection-through-lasso-xgb-cat-lightgbm", "kernel_id": "34474468"}, {"ref": "cv13j0/pss-3-episode-4-quick-start-gbdt", "kernel_id": "34388933"}, {"ref": "kirkdco/ae-combined", "kernel_id": "34479729"}, {"ref": "kirkdco/s03e04-62nd-place", "kernel_id": "34599179"}, {"ref": "sagar118/pss3e4-eda", "kernel_id": "34480259"}, {"ref": "sagar118/pss3e4-ensemble-model", "kernel_id": "34532853"}, {"ref": "nnjjpp/underbagging-undersampling-and-bagging-estimators", "kernel_id": "34491513"}, {"ref": "nnjjpp/play-3-4-merged-leaderboard", "kernel_id": "34561287"}, {"ref": "nnjjpp/play-3-4-two-baseline-models", "kernel_id": "34417137"}, {"ref": "maheswarareddyp/palyground-series-s3e4-mahesh", "kernel_id": "34392553"}, {"ref": "datascientistsohail/xgbclassifier-optuna-se03ep04", "kernel_id": "34446667"}, {"ref": "datascientistsohail/lgbmclassifier-optuna-se03ep04", "kernel_id": "34393335"}, {"ref": "ch124uec/plotly-data-viz-xgboost-model-tuning", "kernel_id": "34447231"}, {"ref": "tayyabali55/ps-s3-e4-ensemble-model-36ffab", "kernel_id": "34540787"}, {"ref": "slythe/cross-validation-w-shapley", "kernel_id": "34543628"}, {"ref": "slythe/get-shapley-interactions", "kernel_id": "34542998"}, {"ref": "slythe/feature-selection-with-shap", "kernel_id": "34514443"}, {"ref": "slythe/pss3-e4-eda-ml-modelling-testing", "kernel_id": "34424401"}, {"ref": "rohans1497/ps-s3e4-v3-with-lgbm", "kernel_id": "34593015"}, {"ref": "oscarm524/ps-s3-ep4-eda-modeling", "kernel_id": "34386910"}, {"ref": "rshah1990/credit-card-fraud-detection-eda", "kernel_id": "34685256"}, {"ref": "jacoporepossi/tutorial-roc-auc-clearly-explained", "kernel_id": "34393348"}, {"ref": "kimtaehun/simple-baseline-model-with-smote-auc-90", "kernel_id": "34393384"}, {"ref": "sharansmenon/credit-card-fraud-with-xgboost", "kernel_id": "34387618"}, {"ref": "samir95/i-still-suck-at-eda-less-though", "kernel_id": "34394992"}, {"ref": "samir95/i-found-the-perfect-cross-validation", "kernel_id": "34460170"}, {"ref": "craigmthomas/play-s3e4-adversarial-validation", "kernel_id": "34421997"}, {"ref": "craigmthomas/play-s3e4-eda-models", "kernel_id": "34388753"}, {"ref": "harits/fraud-detection-lr-optuna-resampling", "kernel_id": "34218500"}, {"ref": "mkr9395/undersampling-lightgbm-credit-card-fraud", "kernel_id": "34391182"}, {"ref": "ifuurh/xgboost", "kernel_id": "34412841"}, {"ref": "omarvivas/torch-tpgs-s3e4-v1", "kernel_id": "34388672"}, {"ref": "omarvivas/keras-tpgs-s3e4-v1", "kernel_id": "34388715"}, {"ref": "omarvivas/xgb-tpgs-s3e4-v1", "kernel_id": "34388608"}, {"ref": "omarvivas/lgbm-tpgs-s3e4-v1", "kernel_id": "34388634"}, {"ref": "omarvivas/cb-tpgs-s3e4-v1", "kernel_id": "34388520"}, {"ref": "manavd22/boosting-ensemble-bayesian-tuning-cv", "kernel_id": "34456598"}, {"ref": "stpeteishii/pss3-ep4-histplot", "kernel_id": "34393426"}, {"ref": "stpeteishii/pss3-ep4-visualize-importance", "kernel_id": "34393097"}, {"ref": "stpeteishii/pss3-ep4-lgbm-with-optuna-and-smote", "kernel_id": "34431041"}, {"ref": "mmellinger66/ps3e4-model-lab", "kernel_id": "34405378"}, {"ref": "mmellinger66/ps3e4-eda-gbdts", "kernel_id": "34413000"}, {"ref": "prem00/follow-the-trend", "kernel_id": "34406718"}, {"ref": "mpwolke/playground-season3-ep-4-biokit-viz", "kernel_id": "34388671"}, {"ref": "jcaliz/ps-s03e04-keras-tabular-learning-primer", "kernel_id": "34387623"}, {"ref": "edgarbc/playground-s3e4-lgbm-baseline", "kernel_id": "34445157"}, {"ref": "catadanna/tab-jan-2023-e4", "kernel_id": "34411024"}, {"ref": "sadmansakib7/eda-original-synthetic-data-correlation", "kernel_id": "34389650"}, {"ref": "devsubhash/playground-s3e4-eda-fraud-detection", "kernel_id": "34406319"}, {"ref": "mukaseevru/ps-s3e4-lama-lightautoml-fe-extra-data", "kernel_id": "34444038"}, {"ref": "mohammedalmasry/credit-card-fraud-detection", "kernel_id": "34582840"}, {"ref": "jamiedonaldmccann/ps-s3e4", "kernel_id": "34405016"}, {"ref": "bernhardklinger/automl-baseline-v2", "kernel_id": "34417659"}, {"ref": "abdoulayebalde/ps-s3-ep4-eda-model-catboost", "kernel_id": "34449052"}, {"ref": "akioonodera/ps-3-04-lgbm-bin", "kernel_id": "34387806"}, {"ref": "kdmitrie/pgs34-basic-test-of-models-blending", "kernel_id": "34395362"}, {"ref": "kdmitrie/pgs35-ensemble-of-pytorch-models", "kernel_id": "34433946"}, {"ref": "nancysamuel/pss-3-ep-4-viz", "kernel_id": "34387518"}, {"ref": "normangitosh/tabular-classification-with-a-credit-card-fraud", "kernel_id": "34500950"}, {"ref": "guptadikshant/xgb-optuna-starter-0-836", "kernel_id": "34452196"}, {"ref": "mobenmo/xgboost-grid-search-0-82-score", "kernel_id": "34411480"}, {"ref": "soupmonster/simple-lgbm-baseline-optuna", "kernel_id": "34393685"}, {"ref": "shamimahossain/tree-models-baseline", "kernel_id": "34517482"}, {"ref": "ruchikajain/credit-card-fraud-detection-r4", "kernel_id": "34680714"}, {"ref": "khaledgamal1/ep3-4-ensemble-model", "kernel_id": "34394150"}, {"ref": "vijethrai/top-3-ensemble-of-top-notebooks-in-public-lb", "kernel_id": "34448268"}, {"ref": "rohithmahadevan/credit-card-fraud-detection-using-logistic-reg", "kernel_id": "34668509"}, {"ref": "tracyporter/play-3-4-svc", "kernel_id": "34402499"}, {"ref": "tracyporter/play-3-4-logreg", "kernel_id": "34398918"}, {"ref": "takshpanchal/ps-s3-ep04-initial-eda-xgboost", "kernel_id": "34389958"}, {"ref": "pranjalrathore/fraud-detection", "kernel_id": "34494505"}, {"ref": "levvvvv/top-13-eda-catboost-lightgbm", "kernel_id": "34393188"}, {"ref": "ashokkumargarain/notebooke3bc8649d1", "kernel_id": "34430866"}, {"ref": "ashokkumargarain/notebook35c58884d4", "kernel_id": "34401203"}, {"ref": "ashokkumargarain/notebook162733468d", "kernel_id": "34391946"}, {"ref": "fuad0857/playground-series-4-with-tensorflow", "kernel_id": "34388784"}, {"ref": "teowaihong/credit-card-fraud-detection-with-sklearn", "kernel_id": "34537876"}, {"ref": "mohamedfarouk94/ps3-ep04", "kernel_id": "34461488"}, {"ref": "shtrausslearning/mllibs-module", "kernel_id": "34256926"}, {"ref": "hikmatullahmohammadi/simple-credit-card-fraud-detection-ps-s3e4", "kernel_id": "34399858"}, {"ref": "prutsaowaprut/s3e4-comparing-the-original-and-synthetic-data", "kernel_id": "34388800"}, {"ref": "vlad15lav/s3e4-simple-deep-learning-custom-model", "kernel_id": "34492120"}, {"ref": "vlad15lav/s3e4-ensemble-6-models", "kernel_id": "34442459"}, {"ref": "vlad15lav/ps-s03e04-eda-with-pt-ensemble-cv-optuna", "kernel_id": "34397582"}, {"ref": "santosh1974/pg-s3-e4", "kernel_id": "34427049"}, {"ref": "donjoeml/s3e4-logistic-lgbm-optuna-duplicates", "kernel_id": "34562879"}, {"ref": "odins0n/playground-s-3-e-4-eda-modelling", "kernel_id": "34386587"}, {"ref": "olliekemp/3rd-place-solution-ensemble-catboost", "kernel_id": "34620115"}, {"ref": "jimgruman/notebook4eba8fea20", "kernel_id": "34508463"}, {"ref": "amoghgarg20/playground-s3e4", "kernel_id": "34422674"}, {"ref": "buffa23/fraud-detection-ds-iti", "kernel_id": "34503066"}, {"ref": "satoshiss/fraud-predictions-s3e4", "kernel_id": "34407480"}, {"ref": "marwanyasser/ps-se3ep4", "kernel_id": "34395653"}, {"ref": "ahana09/ps-s3e4", "kernel_id": "34422228"}, {"ref": "martynovandrey/ps-3-4-eda", "kernel_id": "34387241"}, {"ref": "martynovandrey/ps-3-4-model-selection", "kernel_id": "34388879"}, {"ref": "martynovandrey/ps-3-4-preprocessing", "kernel_id": "34388642"}, {"ref": "martynovandrey/ps-3-4-catboost-optuna", "kernel_id": "34436774"}, {"ref": "martynovandrey/ps-3-4-xgb-optuna", "kernel_id": "34458646"}, {"ref": "martynovandrey/ps-3-4-lgbm-optuna", "kernel_id": "34457935"}, {"ref": "martynovandrey/ps-3-4-keras-classification-on-imbalanced-data", "kernel_id": "34495700"}, {"ref": "shadowhat/join-live-card-fraud-detection-with-pycaret", "kernel_id": "34433833"}, {"ref": "barbagrande007/bbg007-s3e4", "kernel_id": "34416201"}, {"ref": "azazali/playground-series-4-ensemble-learning", "kernel_id": "34400459"}, {"ref": "satyaprakashshukl/xgb-prediction-v1", "kernel_id": "34389312"}, {"ref": "satyaprakashshukl/eda-xgb-prediction-v1", "kernel_id": "34394080"}, {"ref": "cemduru/fraud-detection-and-optuna-parameter-optimization", "kernel_id": "34400783"}, {"ref": "ebrahimghantiwala/beginners-ensemble-approach", "kernel_id": "34512992"}, {"ref": "ravi20076/playgrounds3e4-eda-focalloss", "kernel_id": "34387324"}, {"ref": "umanglodaya/playground-series-s3e4-xgboost", "kernel_id": "34432432"}, {"ref": "nhopet/playgroundseriesseason3episode4-data-visualization", "kernel_id": "34405330"}, {"ref": "sujaykapadnis/get-started-with-playground-s3e4", "kernel_id": "34398763"}, {"ref": "sergeyyakovlev1312/playground-s3e4-naive-bayes", "kernel_id": "34425186"}, {"ref": "amrelsayeh/pgs-s3e4-ensemble", "kernel_id": "34394359"}, {"ref": "kaggleqrdl/pg-series-s3e4-adversarial-validation", "kernel_id": "34438344"}, {"ref": "kaggleqrdl/adversarial-validation-with-same-train-test-times", "kernel_id": "34470779"}, {"ref": "ashtcoder/playground-series-s3-e4", "kernel_id": "34429483"}, {"ref": "burhanuddinlatsaheb/eda-ensembling-3-models", "kernel_id": "34390660"}, {"ref": "ryankkien/playground-s3e2-fastai-model", "kernel_id": "34449292"}, {"ref": "manishwahale/ps-s3-e4-starter-eda-models", "kernel_id": "34387506"}, {"ref": "shiv7080/fraud-detection", "kernel_id": "34389338"}, {"ref": "eliotlacroix/ps3e4-lightautoml", "kernel_id": "34588083"}, {"ref": "eliotlacroix/ps3e4-trying-neural-networks-with-pytorch", "kernel_id": "34464493"}, {"ref": "abhi011097/detailed-eda-org-new-data-model", "kernel_id": "34394538"}, {"ref": "qiaoningchen/credit-card-fraud-prediction", "kernel_id": "34592079"}, {"ref": "chunweishen/ps-s03e04-ensembling", "kernel_id": "34466849"}, {"ref": "smackia/xgb-cbr-lgb-easy", "kernel_id": "34453704"}, {"ref": "shilongzhuang/s3e4-sweetz-do-eda-like-a-chad-lgbm-optuna", "kernel_id": "34485417"}, {"ref": "snorfyang/catboost-xgboost-lgbm", "kernel_id": "34405543"}, {"ref": "marcinrutecki/how-to-create-a-meaningful-eda", "kernel_id": "34463855"}, {"ref": "saurabhprajapat/deep-eda-data-visualization", "kernel_id": "34622456"}, {"ref": "ashishkumarak/credit-card-fraud-detection-tensorflow", "kernel_id": "34389574"}, {"ref": "mattop/playground-series-s3-e4-eda", "kernel_id": "34387200"}, {"ref": "mattop/pg-series-s3e6-adversarial-validation", "kernel_id": "34468834"}, {"ref": "mattop/single-model-catboost-ps-s3-e4", "kernel_id": "34597085"}, {"ref": "alexandershumilin/ps-s3-e4-keras-nn", "kernel_id": "34394944"}, {"ref": "alexandershumilin/ps-s3-e4-ensemble-model", "kernel_id": "34390686"}, {"ref": "viktortaran/ps-s-3-e-4", "kernel_id": "34456180"}, {"ref": "kevinmorgado/credit-card-fraud-analysis-s3-e4", "kernel_id": "34417568"}, {"ref": "magnussesodia/ps-s3e4-subsampling-ensemble-modelling", "kernel_id": "34592365"}, {"ref": "javohirtoshqorgonov/credit-card-fraud-eda-optuna", "kernel_id": "34391749"}, {"ref": "javohirtoshqorgonov/credit-card-fraud-detection-model", "kernel_id": "34396390"}, {"ref": "masayakawamata/lightgbm-xgboost-logreg-ensemble", "kernel_id": "34451780"}, {"ref": "masayakawamata/xgboost", "kernel_id": "34523101"}, {"ref": "regiusherder/prediction-with-deeplearning-tensorflow", "kernel_id": "34407522"}, {"ref": "kirillka95/eda-16-models-test-ensemble", "kernel_id": "34396036"}, {"ref": "kirillka95/e3s4-keras-nn-layer-activations-ensemble", "kernel_id": "34413633"}, {"ref": "abraamadamidis/randomsearch-ensemble-xgb-lgbm-cb", "kernel_id": "34390358"}, {"ref": "belati/pss3e4-fraud-detection", "kernel_id": "34436239"}, {"ref": "fadhilmuh/ranked-39-641-pss3e4-with-only-downsampling", "kernel_id": "34395227"}, {"ref": "rohan8771/playground-s3e4-undersampling-xgboost", "kernel_id": "34390361"}, {"ref": "rodsonzepekinio/playground", "kernel_id": "34487036"}, {"ref": "kmskojim/3models-ensemble", "kernel_id": "34388290"}, {"ref": "mohammednabil98/meau-catboost", "kernel_id": "34463665"}, {"ref": "rebeccapringle/credit-card-fraud-detection-model", "kernel_id": "34488680"}, {"ref": "krviswanathan/credit-card-fraud-baseline-smote-ensemble", "kernel_id": "34521943"}, {"ref": "sharvalishinde/ps-s3e4-lgbm-xgb-optuna-weighted-avg", "kernel_id": "34397048"}, {"ref": "ryangreiner/s3e4-imbalanced-learning", "kernel_id": "34496835"}, {"ref": "iamnotashutosh/pg-s3-e4-random-over-sampling", "kernel_id": "34499140"}, {"ref": "anshulkunwar/notebook329a05ca76", "kernel_id": "34421890"}, {"ref": "anshulkunwar/notebook0c4b6942ed", "kernel_id": "34421942"}, {"ref": "adivireza/pg-s3-e4-card-fraud-classification", "kernel_id": "34676900"}, {"ref": "inaciobr/ps-s03e04-eda-multiple-models", "kernel_id": "34387179"}, {"ref": "ravi20076/playgrounds3e9-extensiveeda-baseline", "kernel_id": "35540552"}, {"ref": "viliuspstininkas/glm-on-credit-fraud-dataset", "kernel_id": "35027933"}, {"ref": "isaacshek/playground-series-s3e4-20230323", "kernel_id": "36363244"}, {"ref": "maddalasravani/credit-card-fraud-detection", "kernel_id": "37643776"}, {"ref": "smritiagrawal1005/credit-card-fraud-detection-by-smriti-agrawal", "kernel_id": "37421720"}, {"ref": "anjilasubedi/logistic-regression-binary-classification", "kernel_id": "38604969"}, {"ref": "caiogasparini/classifica-o-credit-card-fraud-xgbclassifier", "kernel_id": "39941336"}, {"ref": "annachechulina/credit-card-fraud-detection-with-synthetic", "kernel_id": "40471745"}, {"ref": "annachechulina/credit-card-fraud-detection-with-better-synthetic", "kernel_id": "40510647"}, {"ref": "hyebb05/playground-13-4", "kernel_id": "40641945"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "faelk8/ps-3-4-gridsearchcv", "kernel_id": "41027762"}, {"ref": "neha1807/tabular-credit-card-fraud-detection", "kernel_id": "41565557"}, {"ref": "jailsonevora/financial-fraud-detection-credit-card", "kernel_id": "42656861"}, {"ref": "pranavmaheshwari2603/credit-card-fraud-detection", "kernel_id": "42856378"}, {"ref": "deltax/super-xgb", "kernel_id": "43752829"}, {"ref": "halanassar/fraud-detection-final", "kernel_id": "43923661"}, {"ref": "mathurmudit2022/compliance-credit-card-fraud-detection", "kernel_id": "43792249"}, {"ref": "ahmedabdbast/notebook4e1cb4ead2", "kernel_id": "43527971"}, {"ref": "ahmedabdbast/project-eme", "kernel_id": "43693685"}, {"ref": "ahmedabdbast/eme-project", "kernel_id": "43695105"}, {"ref": "fadynabilmofeed/optimizing-xgboost-for-fraud-detection-with-optuna", "kernel_id": "43693632"}, {"ref": "wuxingcen/test-eda-credit-card-fraud", "kernel_id": "45367819"}, {"ref": "ds1434a/credit-card-fraud-detection-xgboost", "kernel_id": "45376877"}, {"ref": "smwares/binary-classification-cc-fraud", "kernel_id": "46096145"}, {"ref": "joseprs421/credit-card-fraud-classification", "kernel_id": "47466892"}, {"ref": "shajithahamed/notebooke10716b4b9", "kernel_id": "47498124"}, {"ref": "sarazeus7/tabular-classification-with-a-credit-card-fraud", "kernel_id": "49183703"}, {"ref": "prachik2/credit-card-fraud-detection", "kernel_id": "50467996"}, {"ref": "arshiyakishore/credit-card-fraud-detection", "kernel_id": "51032234"}, {"ref": "valentinmaz/clasificaci-n-binaria-de-fraude-en-tdc", "kernel_id": "66427303"}, {"ref": "elizabethmaciasphd/binary-classification-credit-card-fraud-detection", "kernel_id": "88259836"}, {"ref": "powermaster/credit-card-fraud-detection-binary-classificatio", "kernel_id": "88259830"}]}
{"competition_id": "44633", "kernels": []}
{"competition_id": "44773", "kernels": [{"ref": "abhishekmah98/job-milega-simple-beginner-friendly-solution", "kernel_id": "33574224"}, {"ref": "ranaqht/competition-notebook-template", "kernel_id": "33554586"}, {"ref": "mrzerox/1-1-10", "kernel_id": "33564693"}, {"ref": "zeroxtgk/while-true", "kernel_id": "33566967"}, {"ref": "fatimahani01/team8", "kernel_id": "33565569"}, {"ref": "shahadadel/group-3-notebook", "kernel_id": "33562266"}, {"ref": "watinaljohani/competition-notebook-template", "kernel_id": "33562260"}, {"ref": "ghadeeralhassan/bootcamp-group5", "kernel_id": "33562411"}]}
{"competition_id": "44784", "kernels": []}
{"competition_id": "44786", "kernels": []}
{"competition_id": "44787", "kernels": []}
{"competition_id": "44791", "kernels": []}
{"competition_id": "44800", "kernels": []}
{"competition_id": "44816", "kernels": []}
{"competition_id": "44817", "kernels": []}
{"competition_id": "44829", "kernels": [{"ref": "anurag629/sentiment-analyasis", "kernel_id": "33654404"}]}
{"competition_id": "44834", "kernels": []}
{"competition_id": "44851", "kernels": [{"ref": "johnybhiduri/taobao-sales-prediction-svm", "kernel_id": "33780020"}]}
{"competition_id": "44854", "kernels": []}
{"competition_id": "44866", "kernels": []}
{"competition_id": "44875", "kernels": []}
{"competition_id": "44885", "kernels": []}
{"competition_id": "44889", "kernels": [{"ref": "ifuurh/argania-tree-detection", "kernel_id": "35436599"}]}
{"competition_id": "44890", "kernels": [{"ref": "changspe000/notebookddf83fb429", "kernel_id": "71736364"}, {"ref": "suyashsharthi/severity-vit", "kernel_id": "103138515"}, {"ref": "suhanigupta04/diabetic-retinopathy-classification", "kernel_id": "109468185"}, {"ref": "marioyouchia/diabetic-retinopathy-severity-classification", "kernel_id": "128919373"}]}
{"competition_id": "44896", "kernels": []}
{"competition_id": "44911", "kernels": [{"ref": "sawsanshakir/stress-detection-using-pyspark", "kernel_id": "33843692"}, {"ref": "liqiang2022/catboost-predication-on-stress-detection", "kernel_id": "33879289"}, {"ref": "sawsanshakir/fork-of-notebook-stress-detection", "kernel_id": "34110311"}, {"ref": "nidhiy07/stress-detection", "kernel_id": "34635931"}]}
{"competition_id": "44913", "kernels": []}
{"competition_id": "44914", "kernels": [{"ref": "tejasvygunturu/tejasvy-gunturu-muppala-venkata-sharathkumarraju", "kernel_id": "34210626"}]}
{"competition_id": "44925", "kernels": []}
{"competition_id": "44929", "kernels": []}
{"competition_id": "44983", "kernels": []}
{"competition_id": "44992", "kernels": []}
{"competition_id": "45040", "kernels": [{"ref": "nahman/discover-top-hidden-bots", "kernel_id": "34827923"}, {"ref": "narsil/knai-2023-02-05-lux-ai-season2", "kernel_id": "34755993"}, {"ref": "agenlu/test-luxai-season-2-enviroment", "kernel_id": "34437149"}, {"ref": "shin7jp/lux2-rl-problem-solving", "kernel_id": "34737153"}, {"ref": "shin7jp/lux-ai-challenge-season-2-tutorial-python", "kernel_id": "34732271"}, {"ref": "kuto0633/luxai2-episode-scraper-match-downloader", "kernel_id": "34617506"}, {"ref": "mvvppp/lux-ai-exploring-simulation-comp-together", "kernel_id": "34456502"}, {"ref": "mpwolke/far-far-below-beta-lux-season-2", "kernel_id": "34442347"}, {"ref": "skausmally/submission-local-permission-issue-tar-qfix", "kernel_id": "34908540"}, {"ref": "stonet2000/lux-ai-challenge-season-2-tutorial-python", "kernel_id": "34411341"}, {"ref": "stonet2000/rl-with-lux-1-intro-to-rl", "kernel_id": "34631370"}, {"ref": "stonet2000/rl-with-lux-2-rl-problem-solving", "kernel_id": "34634653"}, {"ref": "riadalmadani/lux-2-game-basics", "kernel_id": "34703232"}, {"ref": "riadalmadani/repaint-algorithm-stable-diffusion-controlnets", "kernel_id": "34686489"}, {"ref": "kashiwaba/exploring-json-specifications", "kernel_id": "34743727"}, {"ref": "thejaniyapa/lux-ai-challenge-season-2-tutorial-thej", "kernel_id": "34674060"}, {"ref": "istinetz/picking-a-good-starting-location", "kernel_id": "34653543"}, {"ref": "cristojv/updated-rl-with-lux-invalid-action-masking", "kernel_id": "34830701"}, {"ref": "asimple/lux-ai-season-2", "kernel_id": "34521747"}, {"ref": "tanguyvansnick/choosing-your-1st-location", "kernel_id": "34754690"}, {"ref": "klukin/ppo-example", "kernel_id": "34551951"}, {"ref": "jainam213/lux-ai-challenge-season-2-tutorial-python", "kernel_id": "34903509"}, {"ref": "wavefunctioncollapse/a-sandbox-for-hyperparameters-ice-mine-edition", "kernel_id": "35268077"}, {"ref": "scakcotf/building-a-basic-rule-based-agent-in-python", "kernel_id": "35473146"}, {"ref": "just4jcgeorge/rl-with-lux-1-intro-to-rl", "kernel_id": "35314779"}, {"ref": "just4jcgeorge/rl-with-lux-2-rl-problem-solving", "kernel_id": "35314793"}, {"ref": "jtbontinck/shortest-path-on-mars-using-networkx", "kernel_id": "35670453"}, {"ref": "elvenmonk/simple-tests", "kernel_id": "35711135"}, {"ref": "tosyama/light-robot-rl-on-simple-virtual-lux-ai-env", "kernel_id": "35802629"}, {"ref": "altafk/lux-ai-season-2", "kernel_id": "35210242"}, {"ref": "cristojv/moving-units-get-the-rubble-out-of-here", "kernel_id": "35059376"}, {"ref": "jvthunder/modified-rule-based-agent", "kernel_id": "35730356"}, {"ref": "darkhobbit/lux-ai-season-2-simple-rule-based-agent", "kernel_id": "35920659"}, {"ref": "joshmijoshuamable/lux-ai-challenge-season-2", "kernel_id": "35153269"}, {"ref": "olawalczuk/knai-ol1", "kernel_id": "35477654"}, {"ref": "galeos9/rl-with-lux-map-based-observation", "kernel_id": "36447382"}, {"ref": "takeshiiijima/eda-episode-json", "kernel_id": "36163080"}, {"ref": "jtbontinck/connected-tiles-using-networkx", "kernel_id": "36544572"}, {"ref": "elvenmonk/talking-to-chatgpt", "kernel_id": "36636353"}, {"ref": "hamdanazani/notebook5167377741", "kernel_id": "36200381"}, {"ref": "jgg2022/knai-2023-02-05-lux-ai-season2-8b0ac3", "kernel_id": "36516029"}, {"ref": "thomaskillus/lux2-rl-tutorial-visualization", "kernel_id": "36504830"}, {"ref": "sgoodfriend/luxs2-rl-algo-impls-v0-0-12-rl-ppo-selfplay", "kernel_id": "37679951"}, {"ref": "cv13j0/lux-ai-learning-the-basics", "kernel_id": "37561681"}, {"ref": "sagarstormborn/luxaiseason2-community-collaboration-multi-agent", "kernel_id": "37370253"}, {"ref": "lordxerxes/bmi-calculation-with-reinforcement-learning", "kernel_id": "37457175"}, {"ref": "parikshitsharma2001/lux-ai-challenge-season-2", "kernel_id": "37582948"}, {"ref": "yoyobar/il-with-lux-json-data-to-map-based-observation", "kernel_id": "37043014"}, {"ref": "asdkarma/rework-v1-agent-lux-s2-0a83bc", "kernel_id": "37521219"}, {"ref": "stonet2000/lux-ai-season-2-data", "kernel_id": "38283230"}, {"ref": "asdkarma/lux-ai-s2-solution", "kernel_id": "39938727"}, {"ref": "sgoodfriend/luxai2-deimos-episode-scraper", "kernel_id": "41643671"}, {"ref": "ratthachat/intro-to-rl-refactor-from-rl-with-lux-1", "kernel_id": "42769899"}, {"ref": "stonet2000/lux-ai-challenge-neurips-23-tutorial-python", "kernel_id": "43427186"}, {"ref": "quangtrnminh/derainpy37", "kernel_id": "43464534"}, {"ref": "mahfuzullah/luxs2-rl-algo-impls-v0-0-12-rl-ppo-selfplay", "kernel_id": "46954299"}, {"ref": "husseinkedirali/cart-pole-inverted-pendulum-ppo-gym", "kernel_id": "51212175"}, {"ref": "tnguynfew/como-gan-py37", "kernel_id": "64614921"}, {"ref": "geetpawade/intro-to-rl-refactor-from-rl-with-lux-1", "kernel_id": "69758871"}, {"ref": "malowong/rl-with-lux-2-rl-problem-solving", "kernel_id": "79085672"}]}
{"competition_id": "45057", "kernels": []}
{"competition_id": "45058", "kernels": []}
{"competition_id": "45107", "kernels": [{"ref": "rdev12/simple-regression-model", "kernel_id": "34299719"}, {"ref": "rdev12/transfer-learning-for-luxury-classification", "kernel_id": "34317201"}, {"ref": "abdurehaman/tl-trial", "kernel_id": "34523278"}, {"ref": "himanshukakwani/submission1", "kernel_id": "34464789"}, {"ref": "himanshukakwani/resnet", "kernel_id": "34485998"}, {"ref": "himanshukakwani/notebook08aaa54ee1", "kernel_id": "34458070"}, {"ref": "gunman02/mine-the-model-2-position", "kernel_id": "34612318"}, {"ref": "sanketpramodbhure/mine-the-model-celesta-2023", "kernel_id": "34335055"}, {"ref": "amithvinod/mine-the-model", "kernel_id": "34875944"}]}
{"competition_id": "45108", "kernels": []}
{"competition_id": "45109", "kernels": []}
{"competition_id": "45196", "kernels": []}
{"competition_id": "45205", "kernels": [{"ref": "xiaojiu1414/take-a-look-at-the-data", "kernel_id": "34015328"}, {"ref": "shijindashu/ec-eda-notebook", "kernel_id": "40568716"}, {"ref": "shanghaigroom/havaianas-ec-data-analysis", "kernel_id": "40529548"}, {"ref": "alikeinkazmi/havaianas-ecommerce-visulization", "kernel_id": "40224901"}]}
{"competition_id": "45213", "kernels": [{"ref": "zdebruine/getting-started", "kernel_id": "34052223"}, {"ref": "vladimirbeliayev/simple-knn-baseline-1", "kernel_id": "49446000"}]}
{"competition_id": "45279", "kernels": [{"ref": "thomzoy/1-ner-et-qualification-base-de-r-gles", "kernel_id": "34067442"}, {"ref": "thomzoy/2-qualification-par-ml", "kernel_id": "34069461"}, {"ref": "mpwolke/epita-medical-spacy", "kernel_id": "34247996"}, {"ref": "stephmab/2-qualification-par-ml", "kernel_id": "34200921"}, {"ref": "stephmab/1-ner-et-qualification-base-de-r-gles", "kernel_id": "34171485"}]}
{"competition_id": "45283", "kernels": [{"ref": "georgedoukas/covid-severity-fastai-cv", "kernel_id": "35033711"}, {"ref": "nadirjalaludeen/random-forest-from-scratch", "kernel_id": "50797236"}]}
{"competition_id": "45304", "kernels": []}
{"competition_id": "45422", "kernels": [{"ref": "lhyjason/aist4010-spring2023-a0", "kernel_id": "34251681"}, {"ref": "lczong/aist4010-23-tut1-naive-bayes-classifier", "kernel_id": "34061633"}]}
{"competition_id": "45533", "kernels": [{"ref": "philculliton/basic-submission-demo", "kernel_id": "34388937"}, {"ref": "philculliton/student-performance-efficiency-leaderboard", "kernel_id": "34598956"}, {"ref": "mayukh18/lgbm-regressor-ensemble-pipeline", "kernel_id": "34823276"}, {"ref": "damianpanek/predict-student-performance-data-insights", "kernel_id": "34814336"}, {"ref": "zui0711/low-mem-train-dataset", "kernel_id": "34871084"}, {"ref": "cdeotte/lb-leak-probe", "kernel_id": "34957410"}, {"ref": "cdeotte/predict-train-mean-baseline-0-648", "kernel_id": "34814781"}, {"ref": "cdeotte/random-forest-baseline-0-664", "kernel_id": "34845248"}, {"ref": "cdeotte/xgboost-baseline-0-680", "kernel_id": "34877724"}, {"ref": "kimtaehun/lightgbm-baseline-with-aggregated-log-data", "kernel_id": "34834390"}, {"ref": "zakopur0/psp-debug-inference", "kernel_id": "34985069"}, {"ref": "zakopur0/reduce-memory-usage-polars-version", "kernel_id": "34820148"}, {"ref": "pdnartreb/session-id-reverse-engineering", "kernel_id": "34887119"}, {"ref": "mvvppp/eda-adventure-navigating-the-children-learning", "kernel_id": "34830146"}, {"ref": "mpwolke/kaggling-with-jo-wilder-the-capitol-case", "kernel_id": "34815335"}, {"ref": "kentaro7/beginner-lgbm", "kernel_id": "34991087"}, {"ref": "usermina/emulator-for-debugging-submission-code", "kernel_id": "34992933"}, {"ref": "dinowun/eda-simplified-jo-wilder-student-performance", "kernel_id": "34819316"}, {"ref": "samratthapa/quick-eda-and-baseline", "kernel_id": "34962263"}, {"ref": "erivanoliveirajr/a-simple-test-to-undestand-kaggle-api", "kernel_id": "34999120"}, {"ref": "mikhaildonskoy/looking-for-insight-eda", "kernel_id": "34915498"}, {"ref": "mikhaildonskoy/just-add-catboost", "kernel_id": "34956029"}, {"ref": "hidebu/eda-of-predict-student-performance", "kernel_id": "34838289"}, {"ref": "vad13irt/pspfgp-exploratory-data-analysis", "kernel_id": "34879597"}, {"ref": "thomasmeiner/vowpal-wabbit-baseline-0-65", "kernel_id": "34993263"}, {"ref": "asimple/eda-game-play", "kernel_id": "34826268"}, {"ref": "drissielhoucine/eda-analysis", "kernel_id": "34946666"}, {"ref": "mohammad2012191/reduce-memory-usage-2gb-780mb", "kernel_id": "34815268"}, {"ref": "mohammad2012191/lgbm-early-stopping-lb-0-670", "kernel_id": "34883908"}, {"ref": "satyaprakashshukl/student-prediction-eda", "kernel_id": "34821307"}, {"ref": "muhammadtayyab212/predict-gameplay", "kernel_id": "34124906"}, {"ref": "umanglodaya/predicting-student-performance-random-forest", "kernel_id": "34972030"}, {"ref": "mohdmuttalib/predict-student-performance-from-game-play", "kernel_id": "34839120"}, {"ref": "oleksandrkanalosh/rforestclassifier-predict-student-performanc", "kernel_id": "34834977"}, {"ref": "paulbacher/detailed-eda-student-perf-from-game-play", "kernel_id": "34971306"}, {"ref": "nfedorov/predict-train-mean-baseline", "kernel_id": "34826241"}, {"ref": "hjhrgov/predictstudentperformancefromgame", "kernel_id": "34950548"}, {"ref": "sourabhpatil2628/prediction-on-employee-dataset", "kernel_id": "34907810"}, {"ref": "mohamedaakhil/notebook88f291bbbb", "kernel_id": "34827433"}, {"ref": "mayukh18/search-for-multiple-thresholds", "kernel_id": "35310516"}, {"ref": "nigelhenry/game-room-click-eda-by-class", "kernel_id": "35115625"}, {"ref": "narendra/psp-null-model-analysis", "kernel_id": "35916682"}, {"ref": "hoangnguyen719/pspfgp-sample-data-for-mimicking-kaggle-api", "kernel_id": "35191138"}, {"ref": "shambi/silly-monkey", "kernel_id": "35815877"}, {"ref": "suneetsaini/predict-student-performance-with-xgboost", "kernel_id": "35202781"}, {"ref": "cdeotte/game-room-click-eda", "kernel_id": "35091281"}, {"ref": "siddharthkumarsah/predict-student-performance-from-game-play-solved", "kernel_id": "35931786"}, {"ref": "nadare/tensorflow-baseline-lb-0-681", "kernel_id": "35235165"}, {"ref": "inabower/eda-gameplay-minimum-requirements-to-submit", "kernel_id": "35632389"}, {"ref": "inabower/eda-gameplay-overview-jpn", "kernel_id": "35607808"}, {"ref": "carnozhao/cpu-catboost-baseline-using-polars-train", "kernel_id": "35229071"}, {"ref": "carnozhao/cpu-catboost-baseline-using-polars-inference", "kernel_id": "35230067"}, {"ref": "pttljessy/eda-game-play", "kernel_id": "35707221"}, {"ref": "javihm77/students-performance-eda-chapu", "kernel_id": "35547396"}, {"ref": "takanashihumbert/magic-bingo-inference-part-lb-0-687", "kernel_id": "35471318"}, {"ref": "takanashihumbert/magic-bingo-train-part-lb-0-687", "kernel_id": "35469564"}, {"ref": "nicolaorlandowork/minimal-xgboost-model", "kernel_id": "35102318"}, {"ref": "svaningelgem/predict-student-performance-from-game-play", "kernel_id": "35908339"}, {"ref": "svaningelgem/local-timeseriesapi-emulator", "kernel_id": "35924094"}, {"ref": "svaningelgem/use-pre-generated-models", "kernel_id": "35935717"}, {"ref": "aynoji/csc532-tf-keras-tunable", "kernel_id": "35644332"}, {"ref": "saraswatitiwari/predict-student-performance-from-game-play", "kernel_id": "35099013"}, {"ref": "saraswatitiwari/the-learning-agency", "kernel_id": "35280750"}, {"ref": "hngphmngc/graduation-thesis-xgboost-baseline", "kernel_id": "35142806"}, {"ref": "kmitsuhiro/retrieving-text-not-used-in-the-train-data-set", "kernel_id": "35708491"}, {"ref": "ruanpretorius/baseline-preserve-train-proportions-0-502", "kernel_id": "35040364"}, {"ref": "ruanpretorius/baseline-most-common-class-0-414", "kernel_id": "35037889"}, {"ref": "vassylkorzh/play-game-session", "kernel_id": "35038304"}, {"ref": "chrisqiu/0-681-pytorch-using-only-1-column", "kernel_id": "35157059"}, {"ref": "chrisqiu/pytorch-using-only-1-column-submission", "kernel_id": "35540092"}, {"ref": "mikhailpazenko/exploratory-data-analysis", "kernel_id": "35655456"}, {"ref": "demche/student-performance-from-game-play-eda", "kernel_id": "35232380"}, {"ref": "arkbratishka/cpu-catboost-baseline-train", "kernel_id": "35437203"}, {"ref": "pritamsinha23/student-performance-from-gameplay-v1-inference", "kernel_id": "35837080"}, {"ref": "vad13irt/language-models-pre-training", "kernel_id": "35258341"}, {"ref": "shashwatraman/eda-of-aggregated-features", "kernel_id": "35842292"}, {"ref": "shashwatraman/meaning-of-each-event-name-and-eda", "kernel_id": "35544755"}, {"ref": "shashwatraman/dealing-with-multiple-games-in-the-data", "kernel_id": "35583321"}, {"ref": "shashwatraman/gpu-xgb-baseline-using-rapids-cudf-train", "kernel_id": "35166314"}, {"ref": "shashwatraman/gpu-xgb-baseline-using-rapids-cudf-inference", "kernel_id": "35220095"}, {"ref": "abaojiang/eda-on-game-progress", "kernel_id": "35226554"}, {"ref": "xsxs301163com/student-performance-competition-trainlabel-eda", "kernel_id": "35958899"}, {"ref": "pourchot/simple-xgb", "kernel_id": "35005101"}, {"ref": "xxxxyyyy80008/jo-wilder-data-processing-csv-to-parquet", "kernel_id": "35296113"}, {"ref": "judehunt23/saving-predictions-from-previous-levels-2-ways", "kernel_id": "35992107"}, {"ref": "rkoirala129/eda-and-feature-enginering", "kernel_id": "35037497"}, {"ref": "fearsomejockey/eda-visualization-ml", "kernel_id": "35680211"}, {"ref": "athmaneformation/predict-student-performance-from-game-play", "kernel_id": "35140207"}, {"ref": "curiosity30/reduce-memory-2gb-500mb", "kernel_id": "35084093"}, {"ref": "mdreyadhossainnsu/predict-student-performance-from-game-play-1", "kernel_id": "35931893"}, {"ref": "junjitakeshima/gameplay-further-improve-by-tf-idf-words-eng", "kernel_id": "35722606"}, {"ref": "junjitakeshima/gameplay-slightly-improved-by-dialogue-jpn-eng", "kernel_id": "35454421"}, {"ref": "ootake/catboost-baseline-something-wrong", "kernel_id": "35193954"}, {"ref": "hwikookchoe/gameplay-to-parquet", "kernel_id": "35119353"}, {"ref": "amaanansari09/neural-network-keras-for-jo-wilder-competition", "kernel_id": "35283669"}, {"ref": "leehomhuang/2023-psp-0-691-catboostbaseline-train", "kernel_id": "35747589"}, {"ref": "leehomhuang/2023-psp-catboost-baseline-inference", "kernel_id": "35747943"}, {"ref": "banfuzhi/notebook3632301789", "kernel_id": "35986586"}, {"ref": "klyushnik/game-play", "kernel_id": "35405173"}, {"ref": "thedark735/fork-of-baseline-preserve-train-proportions", "kernel_id": "35748631"}, {"ref": "naelaqel/saving-50-of-memory-tip", "kernel_id": "35657468"}, {"ref": "harshghadiya/predicting-student-performance", "kernel_id": "35558683"}, {"ref": "gehallak/train-labels-eda", "kernel_id": "35664398"}, {"ref": "chiaenchen/eda-predict-student-performance-from-game-play", "kernel_id": "35866606"}, {"ref": "misternautiyal/base-line-in-progress-simple-rf", "kernel_id": "35367156"}, {"ref": "paulbacher/training-student-perf-from-gameplay", "kernel_id": "35061726"}, {"ref": "austapinya/magic-bingo-inference-part-lb-0-687", "kernel_id": "35532109"}, {"ref": "austapinya/csc532-tf-keras-tunable", "kernel_id": "35699095"}, {"ref": "austapinya/csc532-magic-bingo-catboost-baseline-train", "kernel_id": "35705468"}, {"ref": "parinlkhitworasak/csc532-magic-bingo-catboost-baseline-train", "kernel_id": "35746101"}, {"ref": "josuadaniel/submission", "kernel_id": "35957892"}, {"ref": "josuadaniel/diagram-data-student-from-gameplay", "kernel_id": "35900208"}, {"ref": "josuadaniel/diagram-data-student-performance-from-game-play", "kernel_id": "35855241"}, {"ref": "thanasansengjaroen/csc532-tf-keras", "kernel_id": "35743532"}, {"ref": "biglayis/predict-student-performance-from-game-play-eda", "kernel_id": "35903563"}, {"ref": "janmpia/session-start-time-eda", "kernel_id": "35551362"}, {"ref": "janmpia/clues-clicks-eda-features", "kernel_id": "35512890"}, {"ref": "janmpia/person-clicks-eda-features", "kernel_id": "35471230"}, {"ref": "janmpia/student-perf-eda-feature-engineering", "kernel_id": "35112212"}, {"ref": "machengyuan/simple-xgb-model", "kernel_id": "35874483"}, {"ref": "dapravin23/submission-csv", "kernel_id": "35442948"}, {"ref": "zeyulau/predict-student-performance-from-game-play-eda", "kernel_id": "35960491"}, {"ref": "chenyh368/neural-network-using-only-click-position", "kernel_id": "35932348"}, {"ref": "cpmpml/random-submission", "kernel_id": "36293772"}, {"ref": "fabraz/exploratory-data-analisys", "kernel_id": "36800479"}, {"ref": "steubk/meetings-are-boring-the-notebook", "kernel_id": "36233466"}, {"ref": "steubk/xgboost-baseline-and-inference-time-estimation", "kernel_id": "36058148"}, {"ref": "jackchungchiehyu/sgameplay-eda", "kernel_id": "36970490"}, {"ref": "whitelily/cohen-kappa-between-answers", "kernel_id": "36197978"}, {"ref": "gauravbrills/psp-inference", "kernel_id": "36383144"}, {"ref": "narendra/pspg-linear-model", "kernel_id": "36761459"}, {"ref": "narendra/pspg-notebook-event-analysis", "kernel_id": "36702368"}, {"ref": "narendra/pspg-elapse-time-eda", "kernel_id": "36649727"}, {"ref": "narendra/psp-nn-model", "kernel_id": "36013969"}, {"ref": "narendra/pspg-room-click-eda", "kernel_id": "36465222"}, {"ref": "narendra/pspg-eda-events", "kernel_id": "36349929"}, {"ref": "narendra/pspg-naive-bayes", "kernel_id": "36404635"}, {"ref": "hoangnguyen719/pspfgp-api-check-within-batch-restarts", "kernel_id": "36595621"}, {"ref": "igjit1/submission-using-time-series-api-with-r", "kernel_id": "36824373"}, {"ref": "igjit1/sampling-1-of-train-data-with-dtplyr", "kernel_id": "36463845"}, {"ref": "tyeestudio/zero-rule-baseline-and-f1-score", "kernel_id": "36910420"}, {"ref": "cdeotte/how-to-get-32gb-ram", "kernel_id": "36355561"}, {"ref": "vinitkp/eda-student-performance-r", "kernel_id": "36013944"}, {"ref": "mojtylor/exploration-game-play", "kernel_id": "36995661"}, {"ref": "kentatanaka1data/the-training-dataset-into-small-chunks", "kernel_id": "36462446"}, {"ref": "yibinx/how-to-read-a-big-dataset-with-apache-spark", "kernel_id": "36561932"}, {"ref": "javihm77/xgboost-gameplay-chapu", "kernel_id": "36485558"}, {"ref": "jeongeun0205/eda-with-plotly", "kernel_id": "36199353"}, {"ref": "merlinbartel/persistent-correctness-and-heavy-clickers", "kernel_id": "36180079"}, {"ref": "averma111/student-performance", "kernel_id": "36639979"}, {"ref": "andradaolteanu/freezingofgate-xgboost-multiclass-with-rapids", "kernel_id": "36115280"}, {"ref": "econjt/explore-supplemental-data", "kernel_id": "36405362"}, {"ref": "hieungouit/simple-xgb-add-explanation-for-beginers", "kernel_id": "36241001"}, {"ref": "kmitsuhiro/api-update-iter-test-returns-all-test-data", "kernel_id": "36270113"}, {"ref": "tomokikmogura/psp-always-incorrect", "kernel_id": "36306571"}, {"ref": "mehedeehassan/game-play-single-session-eda", "kernel_id": "36207468"}, {"ref": "demche/polars-memory-usage-optimization", "kernel_id": "36274584"}, {"ref": "chenyys/xgb-feature-engineer", "kernel_id": "36210127"}, {"ref": "ziaulkarim/eda-pyspark-faster-all-cols", "kernel_id": "36809270"}, {"ref": "ziaulkarim/dataset-loading-performance-analysis-1", "kernel_id": "36683892"}, {"ref": "zhanqiuguo/ml-project", "kernel_id": "36781818"}, {"ref": "wjdeboer/hackathon-ff-xgboost-baseline-0-676", "kernel_id": "36802250"}, {"ref": "shashwatraman/test-data-error-check-elapsed-time-for-new-data", "kernel_id": "36169080"}, {"ref": "shashwatraman/test-data-error-check-multiple-games", "kernel_id": "36170033"}, {"ref": "abaojiang/check-new-hidden-test-leakage", "kernel_id": "36426782"}, {"ref": "abaojiang/lb-0-694-event-aware-tconv-with-only-4-features", "kernel_id": "36627170"}, {"ref": "abaojiang/lb-0-694-tconv-with-4-features-training-part", "kernel_id": "36765468"}, {"ref": "pysongwang/reduce-memery-4-72g-0-479g", "kernel_id": "36328132"}, {"ref": "mrsumitjha/reading-data-in-24ms-data-size-reduction-by-75", "kernel_id": "36329219"}, {"ref": "basslap/store-sales-fe", "kernel_id": "36956005"}, {"ref": "xxftian/baseline-train", "kernel_id": "36128740"}, {"ref": "muhriddinmalik/my-notebook", "kernel_id": "36075011"}, {"ref": "banfuzhi/detailed-eda-student-perf-from-game-play", "kernel_id": "36383792"}, {"ref": "tsuyoshifujii/xgboost-using-only-text-fqid-feature-importance", "kernel_id": "36782965"}, {"ref": "tsuyoshifujii/xgboost-using-only-fqid-feature-importance", "kernel_id": "36660891"}, {"ref": "tsuyoshifujii/xgboost-using-only-text-which-text-is-important", "kernel_id": "36646137"}, {"ref": "yuweisun1226/svm-predict", "kernel_id": "36529585"}, {"ref": "dickyaryanto/predict-student-peformance", "kernel_id": "36469158"}, {"ref": "gehallak/why-are-some-sessions-so-long-part-ii", "kernel_id": "36533704"}, {"ref": "gehallak/why-are-some-sessions-so-long", "kernel_id": "36427860"}, {"ref": "zonwie/begin-how-do-i-import-the-dataset", "kernel_id": "36480866"}, {"ref": "elianb11/student-perf-xgboost", "kernel_id": "36775634"}, {"ref": "abduljaweed/just-for-testing-lazy-predictor-classifier-library", "kernel_id": "36453466"}, {"ref": "oumouhouh/basic-eda", "kernel_id": "36343833"}, {"ref": "chiaenchen/0-66-xgboost-student-performance-on-game-play", "kernel_id": "36887625"}, {"ref": "kevinmorgado/student-performance-eda", "kernel_id": "36738900"}, {"ref": "nataliekalina/student-performance-random-forest-xgboost", "kernel_id": "36817981"}, {"ref": "vadimkamaev/reading-data-953-mb", "kernel_id": "36368056"}, {"ref": "keerthanasingupuram/game-play-eda", "kernel_id": "36293653"}, {"ref": "glipko/reading-time-eda", "kernel_id": "36243714"}, {"ref": "glipko/strange-map-hovers", "kernel_id": "36748704"}, {"ref": "glipko/undefined-text-value", "kernel_id": "36650347"}, {"ref": "glipko/recap-texts", "kernel_id": "36658922"}, {"ref": "oreehovich3/afk-behaviour-eda", "kernel_id": "36732472"}, {"ref": "oreehovich3/time-analysis", "kernel_id": "36961999"}, {"ref": "begadsoliman/notebook71a5c8dcd2", "kernel_id": "36175009"}, {"ref": "janmpia/don-t-reduce-your-plots-portfolio-too-much", "kernel_id": "36088419"}, {"ref": "harrynelson/notebook3014456216", "kernel_id": "36223898"}, {"ref": "polyakovstepan/text-analysis-in-dialogues-and-replicas", "kernel_id": "36152756"}, {"ref": "haydenlabrie/predict-student-performance", "kernel_id": "36953345"}, {"ref": "senfweow/some-sessions-are-missing-levels-7-15-20-and-21", "kernel_id": "36610935"}, {"ref": "filippotorrisi/project", "kernel_id": "36924112"}, {"ref": "ivanisaev/0-99-f1-on-a-few-questions-with-simple-nn", "kernel_id": "37631015"}, {"ref": "tyeestudio/feature-correlation-and-importance", "kernel_id": "37077042"}, {"ref": "pjawahar/game-success-prediction", "kernel_id": "37470822"}, {"ref": "kentatanaka1data/eda-accuracy-by-the-label-dataset", "kernel_id": "37777800"}, {"ref": "yutodennou/competition-simple-xgboost-with-gridsearchcv", "kernel_id": "37645926"}, {"ref": "javihm77/random-forest-lb-catboost-gameplay-chapu", "kernel_id": "37021257"}, {"ref": "dungdore1312/session-info-as-sequence-use-lstm-to-predict", "kernel_id": "37637684"}, {"ref": "aleron751/eda-baseline-cds", "kernel_id": "37028606"}, {"ref": "ayushyajnik/studentprediction-eda-predictiveanalysis-asy-ver7", "kernel_id": "37264467"}, {"ref": "paulmerica/student-performance-notebook", "kernel_id": "37270566"}, {"ref": "paulmerica/model-inference", "kernel_id": "37383185"}, {"ref": "taos2000/start-the-analysis-basic-details-and-prepare", "kernel_id": "37392328"}, {"ref": "sakshamwane/eda-game-play-and-performance", "kernel_id": "37775396"}, {"ref": "manishagoteti/eda-student-performance-classification-model", "kernel_id": "37991929"}, {"ref": "aniketsharma00411/pspgp-sample-submission", "kernel_id": "37034375"}, {"ref": "kaitokusumoto/eng-eda-on-game-play-dataset", "kernel_id": "37819345"}, {"ref": "danielphalen/speed-improve-catboost-baseline-inference", "kernel_id": "37217013"}, {"ref": "ryotaro45123/exp015-notebook", "kernel_id": "37465707"}, {"ref": "chiehhuiwei/predict-student-performance", "kernel_id": "37763287"}, {"ref": "mizukey/random-predict", "kernel_id": "37612077"}, {"ref": "masatomurakawamm/clustering-on-numerical-and-categorical-features", "kernel_id": "37610392"}, {"ref": "zhangyue325/eda-xgboost-and-lgbm-baseline", "kernel_id": "37280089"}, {"ref": "corneliuskristianto/student-performance-with-tf-decision-forests", "kernel_id": "37805228"}, {"ref": "gusthema/student-performance-w-tensorflow-decision-forests", "kernel_id": "37121647"}, {"ref": "trinm110/studentperformance-pass", "kernel_id": "37509576"}, {"ref": "bryantjandra/student-performance-w-tensorflow-decision-forests", "kernel_id": "37459016"}, {"ref": "masakihigashi/catboostfirst", "kernel_id": "37936307"}, {"ref": "srddev/student-performance", "kernel_id": "37416565"}, {"ref": "davidemassidda/psychometric-analysis-of-game-play", "kernel_id": "37502830"}, {"ref": "tsuyoshifujii/importance-analysis-about-fqid-features-analysis", "kernel_id": "37153898"}, {"ref": "tsuyoshifujii/importance-analysis-about-fqid-features-train", "kernel_id": "37100174"}, {"ref": "risakashiwabara/i-didn-t-know-how-to-submit-a-submission", "kernel_id": "37894972"}, {"ref": "leonnorblad/predict-only-questions-for-each-level-group", "kernel_id": "37588485"}, {"ref": "leonnorblad/predict-all-18-at-eah-iter", "kernel_id": "37588380"}, {"ref": "orzlala/predict-student-performance", "kernel_id": "37254746"}, {"ref": "kazumasatokaggle/error-code-predict-student-performance", "kernel_id": "37376829"}, {"ref": "chiaenchen/0-66-catboost-student-performance-from-game-play", "kernel_id": "37041576"}, {"ref": "chiaenchen/conv1d-infer-test-student-game-play-performance", "kernel_id": "37274195"}, {"ref": "chiaenchen/conv1d-student-performance-on-game", "kernel_id": "37236167"}, {"ref": "chunyangw/parquet-maker-stdnt-prfrmnc", "kernel_id": "37322681"}, {"ref": "ayakaueta/catboostfirst-test", "kernel_id": "37969807"}, {"ref": "firmamento123/notebook8a6ed5d02a", "kernel_id": "37215646"}, {"ref": "vadimkamaev/catboost", "kernel_id": "37070367"}, {"ref": "ahmeturunveren/student-performance-tensorflow-decision-forests", "kernel_id": "37472496"}, {"ref": "shreyassec2020/eda-game-play-and-performance", "kernel_id": "37213067"}, {"ref": "alihasnainch/xgboost-baseline-0-66", "kernel_id": "37127079"}, {"ref": "glipko/joe-s-notebook-part-1", "kernel_id": "37529913"}, {"ref": "glipko/best-time-to-study-anova", "kernel_id": "37935558"}, {"ref": "beshwar/dl-proj", "kernel_id": "37228747"}, {"ref": "oreehovich3/which-version-is-better", "kernel_id": "37239226"}, {"ref": "nazarmohammed/randomforest-prediction", "kernel_id": "37853564"}, {"ref": "dickyasqaelani/lks-ds-dicky-smkn-1-bekasi", "kernel_id": "37829163"}, {"ref": "dishaasinghi/student-performance-xgboost", "kernel_id": "37359298"}, {"ref": "machengyuan/pspfgp-baseline", "kernel_id": "37150960"}, {"ref": "nautpanda/majority-class", "kernel_id": "37790704"}, {"ref": "daeseung/pytorch-using-5-column", "kernel_id": "37328055"}, {"ref": "daeseung/pytorch-using-5-column-submission", "kernel_id": "37348896"}, {"ref": "polyakovstepan/clues-search", "kernel_id": "37220589"}, {"ref": "krishashah0901/notebookd2006f4abc", "kernel_id": "37997705"}, {"ref": "daniarlert/memory-optimization-walkthrough", "kernel_id": "37833308"}, {"ref": "beebadotcom/notebook1b054884a4", "kernel_id": "37170393"}, {"ref": "samfouad/predict-student-performance-eda-and-mlm", "kernel_id": "37009413"}, {"ref": "ahsahmad/notebook340c790329", "kernel_id": "37019262"}, {"ref": "akiratakezawa/predict-student-performance-from-game-play", "kernel_id": "37040112"}, {"ref": "elizabethandreaj/lks-smk-wikrama-bogor", "kernel_id": "37849679"}, {"ref": "samuelkoch28/catboost-baseline-with-lots-features-inference", "kernel_id": "37255906"}, {"ref": "maurocoimbrab/teste", "kernel_id": "37417767"}, {"ref": "tantirougeyr/lks-smkn-1-cibinong", "kernel_id": "37283513"}, {"ref": "embun0409/predict-pyggle", "kernel_id": "37506861"}, {"ref": "raissanajmaazizah/lks-smk-telkom-bandung-rain-team", "kernel_id": "37975187"}, {"ref": "raissanajmaazizah/notebook3b02758850", "kernel_id": "37975063"}, {"ref": "raissanajmaazizah/lks-smk-telkom-bandung", "kernel_id": "37937278"}, {"ref": "sethmckeehan/ml-final-project", "kernel_id": "37476791"}, {"ref": "intankartikadewi/minimal-mati-karena-mentok", "kernel_id": "37653894"}, {"ref": "tantirougrey/play-games-tan", "kernel_id": "37827959"}, {"ref": "rsakata/psp-1-save-data", "kernel_id": "38074627"}, {"ref": "ivanisaev/0-697-ensamble-nn-catboost", "kernel_id": "38866217"}, {"ref": "ivanisaev/0-697-model-on-previous-predictions", "kernel_id": "38984480"}, {"ref": "ivanisaev/jo-wilder-bert-like-lstm-model", "kernel_id": "38201209"}, {"ref": "ivanisaev/inference-catboost-w-embed-features", "kernel_id": "38481678"}, {"ref": "ivanisaev/catboost-with-coordinates-features-patches", "kernel_id": "38595732"}, {"ref": "ivanisaev/jo-wilder-coordinates-pathes-features", "kernel_id": "38572905"}, {"ref": "serjhenrique/lstm-data-prep-group-level", "kernel_id": "38063370"}, {"ref": "vinitkp/student-eda-model", "kernel_id": "38756827"}, {"ref": "shinomoriaoshi/psp-v7b-infer", "kernel_id": "38937075"}, {"ref": "flaviocrispin/student-performance-svm-and-pyspark", "kernel_id": "38392940"}, {"ref": "thuymo/student-performance-w-tensorflow-decision-forests", "kernel_id": "38827919"}, {"ref": "javihm77/catboost-baseline-chapu-optuna", "kernel_id": "38621062"}, {"ref": "takanashihumbert/game-play-lgbdart-infer", "kernel_id": "38989976"}, {"ref": "jeongeun0205/session-info-as-sequence-exercise", "kernel_id": "38463188"}, {"ref": "khuranar/xgboost-more-features", "kernel_id": "38040099"}, {"ref": "phuhoang26/gated-tab-transformer", "kernel_id": "38910954"}, {"ref": "wjdzxh/lightgbm-baseline-v2", "kernel_id": "38316419"}, {"ref": "aleron751/catboost-rfe", "kernel_id": "38773285"}, {"ref": "kunpenghe/xgboost-0404-env", "kernel_id": "38907509"}, {"ref": "sankalpsthakur/student-performance-honest-nested-session-cv", "kernel_id": "38437525"}, {"ref": "blaiseyonga/blaise-test-submission", "kernel_id": "38240617"}, {"ref": "adhittio/b1-pretrain-mod-lstm-gru", "kernel_id": "38735052"}, {"ref": "adhittio/q1-b1-e25-pretrain-mod-r10rb-5jt", "kernel_id": "38705684"}, {"ref": "masa0take3/lgbm-train-infer-with-cpu", "kernel_id": "38826579"}, {"ref": "maximeperez/student-perf-naive-approach-starter", "kernel_id": "38982467"}, {"ref": "zhangyip/xgboost-test", "kernel_id": "38797629"}, {"ref": "mili96/we-r-manu-kajol-mili", "kernel_id": "38006525"}, {"ref": "mili96/we-r-manu-kajol-mili-final", "kernel_id": "38024434"}, {"ref": "wyhpursue/ensemble-w-model-4-catboost", "kernel_id": "38672636"}, {"ref": "kanishkpatel/understanding-features-with-logistic-regression", "kernel_id": "38588956"}, {"ref": "ayedbochra/tabular-data-processing", "kernel_id": "38504870"}, {"ref": "ayedbochra/data-analyst-psp", "kernel_id": "38223136"}, {"ref": "vinayaktiwari28/for-beginners-creating-memory-efficient-data", "kernel_id": "38839898"}, {"ref": "vinayaktiwari28/simple-starter-nn-baseline-0-650-cv", "kernel_id": "38952132"}, {"ref": "rizkykiky/baseline-logistic-regression-only-group-level", "kernel_id": "38016495"}, {"ref": "mohamedhmamouch/teamname", "kernel_id": "38283301"}, {"ref": "muhammadtayyab212/predict-performance-using-tensorflow", "kernel_id": "38545367"}, {"ref": "banfuzhi/change-my-env", "kernel_id": "38833642"}, {"ref": "kanghong401/replace-env-iter-test", "kernel_id": "38505981"}, {"ref": "iori76sushi/saint-pretraining-pspfgp", "kernel_id": "38470727"}, {"ref": "polinashilkova/notebook6758df19c0", "kernel_id": "38926715"}, {"ref": "jinzer0/fork-of-simple-xgb", "kernel_id": "38384096"}, {"ref": "cuecacuela/competition-student-performance", "kernel_id": "38302531"}, {"ref": "nechbamohammed/catboost-powering-ml-performance", "kernel_id": "38929097"}, {"ref": "vadimkamaev/catboost-new", "kernel_id": "38026611"}, {"ref": "elleneug/elleneug-students-performance", "kernel_id": "38728091"}, {"ref": "divyanshmathiya/predict-student-performance", "kernel_id": "38192333"}, {"ref": "huangjielun/student-performance-w-tensorflow-decision-forests", "kernel_id": "38136595"}, {"ref": "mannubhardwaj1022/we-r-xgb-boost-model", "kernel_id": "38140127"}, {"ref": "mannubhardwaj1022/we-r-xgb-boost", "kernel_id": "38138387"}, {"ref": "mannubhardwaj1022/we-r-manu-kajol-mili", "kernel_id": "38003893"}, {"ref": "shreyarajanala/student-performance", "kernel_id": "38948036"}, {"ref": "miltiadesgeneral/tensorflow-decision-forest", "kernel_id": "38005566"}, {"ref": "tiagotrindade/notebook-4", "kernel_id": "38987928"}, {"ref": "ansh007shiv/ds677104-final-project-anshul-surpiya-tejaswini", "kernel_id": "38166892"}, {"ref": "jeongy7/7000rpm", "kernel_id": "38372130"}, {"ref": "jeongy7/7000rpm-ver2", "kernel_id": "38378997"}, {"ref": "mohammed1shahbaaz059/predict-student-performance-from-game-play", "kernel_id": "38708294"}, {"ref": "mrsplashman/tfdf-comp", "kernel_id": "38207810"}, {"ref": "vikaschauhan25/dl-project-option-2", "kernel_id": "38210425"}, {"ref": "popcornmike/student-performance-w-tensorflow-decision-forests", "kernel_id": "38672918"}, {"ref": "eastuk/xgboost-baseline-hgry", "kernel_id": "38264442"}, {"ref": "manojkumarpentapalli/student-performance-w-tensorflow-decision-forests", "kernel_id": "38842913"}, {"ref": "harrynelson/xgboost-baseline-0-676-a7cb02", "kernel_id": "38544837"}, {"ref": "nautpanda/event-numbers", "kernel_id": "38340002"}, {"ref": "thedeafone/xgboost-f-scoring", "kernel_id": "38273853"}, {"ref": "daniarlert/xgboost-with-basic-features", "kernel_id": "38248179"}, {"ref": "mecer80/game-xgboost-baseline", "kernel_id": "38533929"}, {"ref": "evulsive/student-performance", "kernel_id": "38530694"}, {"ref": "csupples/student-performance-w-tensorflow-decision-forests", "kernel_id": "38827109"}, {"ref": "reikiazizyogautama/project-statistika", "kernel_id": "38248364"}, {"ref": "keisukenakata0316/20230523-game", "kernel_id": "38012673"}, {"ref": "izdiharfazrianti/lks-smkn-2-kota-bekasi-izdihar-fazrianti", "kernel_id": "38160354"}, {"ref": "raissanajmaazizah/lks-smk-telkom-bandung-rain-team2", "kernel_id": "38009801"}, {"ref": "robyyy123/lks-smk-mahardhika-batujajar-v1", "kernel_id": "38149191"}, {"ref": "koriiabuhori/eda-for-lks-v2", "kernel_id": "38261121"}, {"ref": "koriiabuhori/lks-smkn-1-uruguay", "kernel_id": "38102662"}, {"ref": "koriiabuhori/lks-smkn-1-gantar", "kernel_id": "38158680"}, {"ref": "diegofalconc/student-performance-w-tensorflow-decision-forests", "kernel_id": "38328566"}, {"ref": "felipeduartea/dados2tail", "kernel_id": "38093185"}, {"ref": "embunpwstr/predict-embun", "kernel_id": "38161387"}, {"ref": "embunpwstr/predict-rgt", "kernel_id": "38162455"}, {"ref": "aisyahfitriyaningsih/predict", "kernel_id": "38145276"}, {"ref": "embun04/predict-lks", "kernel_id": "38158018"}, {"ref": "embun04/lkspyggle", "kernel_id": "38142065"}, {"ref": "dekarter/32gb-kursach", "kernel_id": "38519279"}, {"ref": "ttkaixin/catboost-baseline-with-lots-features-inference", "kernel_id": "38828437"}, {"ref": "songfupeking/student-performance-w-tensorflow-decision-forests", "kernel_id": "38387259"}, {"ref": "futouyiba/futoupeking", "kernel_id": "38495175"}, {"ref": "toeythamma/submission", "kernel_id": "38534918"}, {"ref": "peerayaprasertsree/predict", "kernel_id": "38576781"}, {"ref": "thuyzy/test-name", "kernel_id": "38814321"}, {"ref": "doomba2023/notebook4a3fd4c192", "kernel_id": "38891764"}, {"ref": "bobankh/catboost-ensemble", "kernel_id": "38897300"}, {"ref": "rsakata/psp-4-test-inference", "kernel_id": "39594497"}, {"ref": "ivanisaev/psp-catboost-torchls-inference", "kernel_id": "39387407"}, {"ref": "ivanisaev/train-part-catboost-w-embed-features", "kernel_id": "39191295"}, {"ref": "ivanisaev/embeds-catboost-w-embed-features", "kernel_id": "39193314"}, {"ref": "kingychiu/session-level-encoding-for-train-dataset", "kernel_id": "39679310"}, {"ref": "kononenko/psp-0-676lb-in-6-seconds-with-linearmodel", "kernel_id": "39565475"}, {"ref": "natomar1/catboost-0-684-student-performance-from-game-play", "kernel_id": "39341950"}, {"ref": "tangtunyu/catb-xgb-lgb-ensemble", "kernel_id": "39714845"}, {"ref": "thuymo/student-performance", "kernel_id": "39299067"}, {"ref": "jeongeun0205/session-info-as-sequence-transformer-pytorch", "kernel_id": "39826579"}, {"ref": "koyanagi/xgboost-gridsearch", "kernel_id": "39043007"}, {"ref": "yyykrk/logi-yyykrk-xl-index-level-grp-xc-compe-d", "kernel_id": "39902372"}, {"ref": "yyykrk/logi-yk-xl-index-level-grp-xc-compe-data-5-12", "kernel_id": "39902663"}, {"ref": "michaellee8/cython-based-highly-optimized-feature-extraction", "kernel_id": "39542001"}, {"ref": "maximeperez/student-perf-cart-tree", "kernel_id": "39834970"}, {"ref": "adrielcabral/new-features-submit-correct-way-v3", "kernel_id": "39060852"}, {"ref": "pealik/neural-networks-project", "kernel_id": "39965412"}, {"ref": "nhattruong1009/too-deep-copy-from-other-source", "kernel_id": "39496627"}, {"ref": "nhattruong1009/cat-boost", "kernel_id": "39448609"}, {"ref": "benidictusgalihmp/pspg-xgb-lgb-catboost-default-params-comparison", "kernel_id": "39900376"}, {"ref": "ayedbochra/xgboost", "kernel_id": "39957072"}, {"ref": "neilmehta471/test1", "kernel_id": "39154482"}, {"ref": "flyingdb/xgboost-cv-score-public-lb-private-lb-0-698", "kernel_id": "39023361"}, {"ref": "inoway/catboost-japanese", "kernel_id": "39307910"}, {"ref": "danishjmeo/student-performance-first-notebook", "kernel_id": "39821189"}, {"ref": "bamiyan/simple-xgb-q10-q15", "kernel_id": "39043575"}, {"ref": "levdvernik/jo-wilder-test", "kernel_id": "39189815"}, {"ref": "vadimkamaev/feature-sort", "kernel_id": "39297874"}, {"ref": "artemhrachov/notebooke51a9669ce", "kernel_id": "39688895"}, {"ref": "musaalflat/predict-student-perf-0-799", "kernel_id": "39232689"}, {"ref": "youssefghaoui/xgbclassifier-simpleversion", "kernel_id": "39192322"}, {"ref": "hder03/student-performance-evaluation", "kernel_id": "39619068"}, {"ref": "jakubzeman/genetic-alogrithm-for-threshold-optimization", "kernel_id": "39367218"}, {"ref": "bhanupratapbiswas/predict-student-performance-from-game-play", "kernel_id": "39746086"}, {"ref": "mecer80/student-performance-w-tensorflow-decision-forests", "kernel_id": "39517392"}, {"ref": "tamryow/how-to-get-32gb-ram", "kernel_id": "39566617"}, {"ref": "jonbio/student-performance-w-tensorflow-decision-7fe1a5", "kernel_id": "39525087"}, {"ref": "thangnv8/catboost-mix", "kernel_id": "39775846"}, {"ref": "tqhuyhq/hcmus-fit-hsp", "kernel_id": "39497813"}, {"ref": "tenaciousstanleyhu/catboost", "kernel_id": "39737640"}, {"ref": "phamdinhkhanh1988/catboost", "kernel_id": "39757468"}, {"ref": "megapacific/notebook9ea47ac670", "kernel_id": "39093183"}, {"ref": "pony7722/notebookfc2f7a32b7", "kernel_id": "39503276"}, {"ref": "lucamassaron/ps2-hillclimbing-voting-sim-anel-multithresho", "kernel_id": "40498416"}, {"ref": "mhyodo/restart-model-merge-v1", "kernel_id": "40348421"}, {"ref": "chennanli/random-submission-modify-value-assignment", "kernel_id": "40134895"}, {"ref": "informhunter/polars-static-graph-tests", "kernel_id": "40562048"}, {"ref": "shashaalam/student-per-tfdf", "kernel_id": "40790516"}, {"ref": "gauravbrills/psp-infer-single-0-70081", "kernel_id": "40398987"}, {"ref": "hoangnguyen719/pspfgp-infer-priyanshu-25-8-xgb-fev4", "kernel_id": "40438355"}, {"ref": "aspillai/student-perf-selected-features-0-70-private-lb", "kernel_id": "40412154"}, {"ref": "aspillai/predict-student-performance-xgb-fold-sel-feats", "kernel_id": "40402685"}, {"ref": "mark4h/jowilder-2nd-place-solution-4-submission", "kernel_id": "40685863"}, {"ref": "wimwim/inf-stdgrp-std18in1-e80dd0", "kernel_id": "40502065"}, {"ref": "wimwim/blend-stdgrp-std18in1", "kernel_id": "40480791"}, {"ref": "wimwim/psp-transformer-type-a-grp-level", "kernel_id": "40595589"}, {"ref": "wimwim/psp-transformer-type-b-grp-level", "kernel_id": "40595634"}, {"ref": "wimwim/psp-transformer-type-c-18in1", "kernel_id": "40595657"}, {"ref": "vinitkp/xgboost-try-things", "kernel_id": "40054733"}, {"ref": "kononenko/psp-top-0-5-efficiency-lb-with-datatable", "kernel_id": "40561140"}, {"ref": "kononenko/psp-efficiency-lb-sanity-check", "kernel_id": "40220225"}, {"ref": "shinomoriaoshi/psp-v9a-infer", "kernel_id": "40250722"}, {"ref": "pdnartreb/pspfgp-1st-place-inference", "kernel_id": "40565826"}, {"ref": "erijoel/4th-place-submission", "kernel_id": "40458537"}, {"ref": "phuhoang26/psp-llama", "kernel_id": "40142296"}, {"ref": "hideyukizushi/psp-inf-cat-xgb-mlp-v0627v1", "kernel_id": "40468233"}, {"ref": "hideyukizushi/psp-train-cat-xgb-mlp-v0627v1", "kernel_id": "40444711"}, {"ref": "adegladius/training-notebook-gbclassifier-0-695-pri-0-693-pub", "kernel_id": "40502906"}, {"ref": "chaudharypriyanshu/8th-place-solution-inference", "kernel_id": "40465957"}, {"ref": "dplg007/psp-catboost-gridseacrhcv", "kernel_id": "40046309"}, {"ref": "shu421/psp-10thsolution-public0706-private0702", "kernel_id": "40537118"}, {"ref": "roberthatch/student-efficiency-polars-inference", "kernel_id": "40583682"}, {"ref": "benidictusgalihmp/pspg-optuna-tuning", "kernel_id": "40077765"}, {"ref": "ayedbochra/xgboost-optimizing-hyperparameters", "kernel_id": "40084275"}, {"ref": "tonymarkchris/psp-xgb-train-part-private-0-704", "kernel_id": "40545696"}, {"ref": "ryokanazawa/lb-0-694-tconv-with-4-features-training-part", "kernel_id": "40202463"}, {"ref": "acchiko/how-to-use-pycaret-3-0-2-offline-environment", "kernel_id": "40308156"}, {"ref": "banfuzhi/abcdefg", "kernel_id": "40150260"}, {"ref": "hwamokjeong/lgbm-single-w-mouse-speed-features-private0-701", "kernel_id": "40539702"}, {"ref": "marcellopelosi1998/marcello-loris-0-659-on-lb-without-training-set", "kernel_id": "40198995"}, {"ref": "murugesann/nm-std-pred-transformer-9", "kernel_id": "40418902"}, {"ref": "jacobnolandcyr/xgboost-baseline-0-676", "kernel_id": "40706406"}, {"ref": "levdvernik/jo-wilder-test-private-score-0-697-cv-score-0-696", "kernel_id": "40214154"}, {"ref": "muchammadaquila/randomforestmodelonpredictstudentperformance", "kernel_id": "40142773"}, {"ref": "affanzuhaib/final-submission-in-competition", "kernel_id": "40978955"}, {"ref": "lyalindmitriy/catboost-and-xgb-blend", "kernel_id": "40464600"}, {"ref": "abienugraha/random-forest-hyperparameter-tuning", "kernel_id": "40196595"}, {"ref": "mewmlelswm/improve-catboost-baseline-inference", "kernel_id": "40119718"}, {"ref": "peshaladushyanthika/studentperformance", "kernel_id": "40529837"}, {"ref": "ragaa5/student-performance", "kernel_id": "40205991"}, {"ref": "thelastsmilodon/catboost-xgb-mlp", "kernel_id": "40070966"}, {"ref": "belalemadhussein/simple-highly-efficient-model", "kernel_id": "40492500"}, {"ref": "ruilanwang21/catboost-mix-e79dcc", "kernel_id": "40453653"}, {"ref": "csupples/chunked-data-for-train", "kernel_id": "40073292"}, {"ref": "hli111111/text-ngram-extraction-pca-aggregate-by-id-wide2l", "kernel_id": "40519577"}, {"ref": "chleonkong/student-performance-w-tensorflow-decision-forests", "kernel_id": "41590165"}, {"ref": "dongyk/pspfgp-nn-dataset", "kernel_id": "41266380"}, {"ref": "dongyk/pspfgp-nn-train", "kernel_id": "41266532"}, {"ref": "dongyk/pspfgp-nn-pretrain", "kernel_id": "41266461"}, {"ref": "dongyk/pspfgp-nn-inference", "kernel_id": "41215761"}, {"ref": "salanewt/xgboost-classification", "kernel_id": "41210941"}, {"ref": "danielyu01/test-submission", "kernel_id": "41588078"}, {"ref": "danielyu01/pretrained", "kernel_id": "41587511"}, {"ref": "danielyu01/no-feature-engineering", "kernel_id": "41688992"}, {"ref": "danielyu01/pretrained-9c90ad", "kernel_id": "41690148"}, {"ref": "danielyu01/fork-of-pretrained", "kernel_id": "41682129"}, {"ref": "winnyj02/pretrained", "kernel_id": "41654154"}, {"ref": "typezzz/test-submission", "kernel_id": "41577989"}, {"ref": "typezzz/logistic-classification", "kernel_id": "41729884"}, {"ref": "typezzz/no-feature-engineering", "kernel_id": "41687576"}, {"ref": "ammarahmadqazi/public-lb-vs-private-lb", "kernel_id": "42755964"}, {"ref": "ripudamannaidu/student-performance-w-tensorflow-decision-forests", "kernel_id": "42931527"}, {"ref": "ayedbochra/autoviz-titanic-extended", "kernel_id": "42219941"}, {"ref": "christopherm777/xgboost-classification", "kernel_id": "42607681"}, {"ref": "caophankhnhduy/student-performance", "kernel_id": "43744256"}, {"ref": "imtommi/feature-engineering", "kernel_id": "43859563"}, {"ref": "ripudamannaidu/main-py", "kernel_id": "45330737"}, {"ref": "smwares/gameplay-predictions-xgboost-classifier", "kernel_id": "46167163"}, {"ref": "hngbiquc/fit-hcmus-dendrogramgroup-catboost-traning", "kernel_id": "47664067"}, {"ref": "hngbiquc/fit-hcmus-dendrogramgroup-ensemble-submission", "kernel_id": "47826338"}, {"ref": "umisuzume/catboost-mix", "kernel_id": "47699378"}, {"ref": "goldencheem/hcmus-fit-2023-dynamind-save-data", "kernel_id": "47684356"}, {"ref": "goldencheem/hcmus-fit-2023-dynamind-test-inference", "kernel_id": "47752849"}, {"ref": "caophankhnhduy/predict-student-performance-from-game-play", "kernel_id": "47365569"}, {"ref": "devilbornfire/students-performance-prediction-model", "kernel_id": "47187274"}, {"ref": "davidnguyens16/pspgp-sample-submission", "kernel_id": "47002595"}, {"ref": "davidnguyens16/tranformer-with-new-data", "kernel_id": "47083035"}, {"ref": "davidnguyens16/evaluate-model-1", "kernel_id": "47331579"}, {"ref": "hngbiquc/fit-hcmus-dendrogramgroup-xgboost-training", "kernel_id": "48227790"}, {"ref": "hpn00689/fit-hcmus-dendrogramgroupv2", "kernel_id": "48188962"}, {"ref": "gurupatil122333/research-lstm-and-cnn", "kernel_id": "49217684"}, {"ref": "gurupatil122333/best-time-to-study-anova", "kernel_id": "49694772"}, {"ref": "gurupatil122333/play-game-session", "kernel_id": "49702462"}, {"ref": "narutooooooooo/xgb-cv0-7013-inference", "kernel_id": "50374957"}, {"ref": "spydplayz/research-lstm-and-cnn", "kernel_id": "51097701"}, {"ref": "aumthakkar/notebookb700dad3d4", "kernel_id": "51216809"}, {"ref": "gurupatil122333/modelbuildings", "kernel_id": "53084460"}, {"ref": "aumthakkar/modelbuildings", "kernel_id": "53486683"}, {"ref": "aumthakkar/fork-of-notebookb700dad3d4", "kernel_id": "53058830"}, {"ref": "tamryow/pspgp-4", "kernel_id": "63010704"}, {"ref": "dngquch123/hcmus-2425-21127247", "kernel_id": "64942039"}, {"ref": "gguayuqi/guanyuqi-try", "kernel_id": "69557544"}, {"ref": "lchinhduy/data-discovery-process-ipynb", "kernel_id": "70869690"}, {"ref": "vmphat/hcmus-2425-21127739", "kernel_id": "71863364"}, {"ref": "zyh1104/019-student-performance-tensorflow-decision-forest", "kernel_id": "71445207"}, {"ref": "nguyenquocanh221203/hcmus-2425-21127007", "kernel_id": "71752670"}, {"ref": "trggtin/hcmus-2425-21127731", "kernel_id": "72283308"}, {"ref": "kkkkkkk2003/my-notebook", "kernel_id": "72487282"}, {"ref": "vophan/hcmus-2425-21127038", "kernel_id": "72256423"}, {"ref": "lchinhduy/catboost-model-train", "kernel_id": "72412883"}, {"ref": "khnhcaonguyn/hcmus-2425-21127627", "kernel_id": "72495107"}, {"ref": "sohailkhanlml/predicting-heart-disease-with-xgb-lgb-catboost", "kernel_id": "108737428"}, {"ref": "ekichi/polars-expression-tutorial", "kernel_id": "110374846"}, {"ref": "ekichi/psp-train-data", "kernel_id": "110483716"}, {"ref": "omeraydin1/obesity-risk-dl-algorithm", "kernel_id": "115262728"}, {"ref": "petridever/play-predic-other", "kernel_id": "121824265"}]}
{"competition_id": "45541", "kernels": []}
{"competition_id": "45574", "kernels": [{"ref": "rishideychowdhury/helper-code-01", "kernel_id": "34223065"}, {"ref": "predator7x/whale-sound-classification", "kernel_id": "36386898"}]}
{"competition_id": "45589", "kernels": []}
{"competition_id": "45591", "kernels": []}
{"competition_id": "45605", "kernels": [{"ref": "takusid/view-cba-train-data", "kernel_id": "34746274"}, {"ref": "takusid/view-cba-keypoint-train-data", "kernel_id": "34795910"}, {"ref": "takusid/view-cba-segmentation-train-data", "kernel_id": "34795547"}]}
{"competition_id": "45609", "kernels": [{"ref": "free4ky/final-solution-football-uniform", "kernel_id": "34431161"}]}
{"competition_id": "45610", "kernels": []}
{"competition_id": "45611", "kernels": []}
{"competition_id": "45612", "kernels": []}
{"competition_id": "45613", "kernels": []}
{"competition_id": "45628", "kernels": [{"ref": "srijandixit/example-code", "kernel_id": "34300523"}, {"ref": "stjimmy/food-prediction", "kernel_id": "34312832"}]}
{"competition_id": "45654", "kernels": [{"ref": "michaelibrahim/xgboost-regression-median-public-score-0-67480", "kernel_id": "35306083"}, {"ref": "nickspies/encoding-factor-variables-with-glm-in-tidymodels", "kernel_id": "35448810"}, {"ref": "nickspies/exploratory-data-analysis", "kernel_id": "35212579"}, {"ref": "nickspies/bettr-medians-r", "kernel_id": "35186195"}, {"ref": "aacckaggle/simple-median-py", "kernel_id": "35153701"}, {"ref": "oldjerry/xgb-for-hemolysis-costs-right", "kernel_id": "35400096"}, {"ref": "vincentbsk/regression-with-collector-and-unit-features-0-684", "kernel_id": "36338320"}, {"ref": "jakewong/simplest-solution", "kernel_id": "36341419"}, {"ref": "yinghengwang/helphemo-notebook-v1", "kernel_id": "36343847"}, {"ref": "hendrickchoi/hemoranker-linear-regression-0-67956", "kernel_id": "36300094"}, {"ref": "blam123/dataprocessing-utilities-r", "kernel_id": "36299311"}, {"ref": "alexgu7104/hemolysisnotebook", "kernel_id": "36307576"}]}
{"competition_id": "45700", "kernels": [{"ref": "hosen42/ml-olympiad-into-the-space-by-tfug-dhaka", "kernel_id": "35353879"}, {"ref": "nameissakthi/mlolympiad-team", "kernel_id": "35244252"}, {"ref": "nameissakthi/mlolympaid", "kernel_id": "35156880"}, {"ref": "nameissakthi/fork-of-mlolympiad-team", "kernel_id": "35452072"}, {"ref": "eslamfouad/ml-olympiad-into-the-space", "kernel_id": "39661618"}]}
{"competition_id": "45710", "kernels": []}
{"competition_id": "45740", "kernels": []}
{"competition_id": "45765", "kernels": [{"ref": "histoffe/baseline-spatial-rf-pa-sum", "kernel_id": "36356672"}, {"ref": "loicdfsdf/tried-a-cnn", "kernel_id": "38466374"}]}
{"competition_id": "45767", "kernels": []}
{"competition_id": "45774", "kernels": [{"ref": "jadalriyabi/project-2", "kernel_id": "34556264"}]}
{"competition_id": "45779", "kernels": []}
{"competition_id": "45835", "kernels": [{"ref": "hikarushindo/demo-notebook", "kernel_id": "34404216"}]}
{"competition_id": "45855", "kernels": []}
{"competition_id": "45867", "kernels": [{"ref": "pushkar007/write-u-net-from-scratch-tutorial", "kernel_id": "32203543"}, {"ref": "pushkar007/learn-multiclass-semantic-segmentation-unet-miou", "kernel_id": "32138469"}, {"ref": "resmitasimangunsong/kelompok-2-pm", "kernel_id": "42930684"}, {"ref": "aritrag/kerascv-train-and-infer-on-thumbnails", "kernel_id": "43682385"}, {"ref": "dheerajmpai/ubc-ocean-tile-down-large-images-for-cnn-baseline", "kernel_id": "44173087"}, {"ref": "dheerajmpai/ubc-ocean-process-large-images-golang-50x-fast", "kernel_id": "44192544"}, {"ref": "sdlee94/ubc-ocean-exploratory-data-analysis", "kernel_id": "44924400"}, {"ref": "taskeen/exploring-images-and-features", "kernel_id": "44120662"}, {"ref": "cortomalt/fastai-advanced-fine-tuning", "kernel_id": "44915316"}, {"ref": "aliabbasi/ubc-eda-with-pyvips", "kernel_id": "44290245"}, {"ref": "dhinkris/top-10-informative-patches-based-on-std-dev", "kernel_id": "44979638"}, {"ref": "viveksahukar/model-1-resnet50-cpu-inference", "kernel_id": "44338843"}, {"ref": "mohammedessam97/ubc-stratified-k-fold-quick-training", "kernel_id": "44591927"}, {"ref": "utm529fg/ubco-initial-eda", "kernel_id": "44138144"}, {"ref": "utm529fg/ubc-all-train-image", "kernel_id": "44315923"}, {"ref": "utm529fg/ubc-reduces-png-to-2964x2964", "kernel_id": "44196194"}, {"ref": "rainfalllove/using-mil-prepare-dataset", "kernel_id": "44114214"}, {"ref": "rainfalllove/big-difference-between-tma-and-wsi-thumbnail", "kernel_id": "44996444"}, {"ref": "prithviraj7387/ubc-ovarian-cancer-ml-models", "kernel_id": "44153095"}, {"ref": "prithviraj7387/ubc-ovarian-cancer-eda", "kernel_id": "44114658"}, {"ref": "samu2505/help-patch-inference-out-of-memory", "kernel_id": "44734947"}, {"ref": "samu2505/ubc-imagedataset", "kernel_id": "44591705"}, {"ref": "thangnm1/ver-21-10", "kernel_id": "44902514"}, {"ref": "stpeteishii/ovarian-train-thumbnails-in-label-folder", "kernel_id": "44198918"}, {"ref": "stpeteishii/ovarian-cancer-subtype-pytorch-lightning-cnn", "kernel_id": "44201597"}, {"ref": "stpeteishii/lesion-sample-hgsc", "kernel_id": "44168978"}, {"ref": "stpeteishii/ovarian-image-appearance-by-label", "kernel_id": "44123177"}, {"ref": "gunesevitan/libvips-pyvips-installation-and-getting-started", "kernel_id": "44599987"}, {"ref": "gunesevitan/ubc-ocean-eda", "kernel_id": "44548991"}, {"ref": "gunesevitan/ubc-ocean-jpeg-dataset-pipeline", "kernel_id": "44658088"}, {"ref": "mpwolke/tile-stitch-attempt", "kernel_id": "44253835"}, {"ref": "mpwolke/otu-ovarian-tumor-subtypes", "kernel_id": "44111196"}, {"ref": "tranthanhtung2095/train-model-ubc-ocean", "kernel_id": "44219044"}, {"ref": "longyikim/pyvips", "kernel_id": "44755459"}, {"ref": "wakasu/ubc-ocean-a-novice-s-approach", "kernel_id": "44155633"}, {"ref": "icagatta/ecosystem-dataset-prep-convnext-finetuning", "kernel_id": "44163387"}, {"ref": "icagatta/convnextv2-finetuning-balanced-accuracy", "kernel_id": "44221661"}, {"ref": "icagatta/swin-transformer-v2-finetuning-balanced-accuracy", "kernel_id": "44907136"}, {"ref": "wrecked22/starters-eda-transfer-learning-guide", "kernel_id": "44577354"}, {"ref": "sytuannguyen/ovarian-cancer-classification", "kernel_id": "44134476"}, {"ref": "farzonaeraj/ubc-ovarian-cancer-subtype-classification", "kernel_id": "44639265"}, {"ref": "khailashsanthakumar/ubc-effb0-with-classweights-training-fold1of5", "kernel_id": "44185641"}, {"ref": "khailashsanthakumar/ubc-pytorch-effb0-with-classweights-inference", "kernel_id": "44187314"}, {"ref": "khailashsanthakumar/only-small-images-training-dataset-for-download", "kernel_id": "44238942"}, {"ref": "jirkaborovec/cancer-subtype-decompose-wsi-tiles-0-25x", "kernel_id": "44874324"}, {"ref": "jirkaborovec/cancer-subtype-decompose-large-image-tiles", "kernel_id": "44176687"}, {"ref": "jirkaborovec/cancer-subtype-stat-predictions", "kernel_id": "44140748"}, {"ref": "jirkaborovec/cancer-subtype-mono-predictions", "kernel_id": "44141661"}, {"ref": "jirkaborovec/cancer-subtype-eda-load-wsi-segmentation", "kernel_id": "44137910"}, {"ref": "jirkaborovec/cancer-subtype-baseline-with-lightning-timm", "kernel_id": "44568238"}, {"ref": "jirkaborovec/cancer-subtype-lit-torch-inference-thumbnails", "kernel_id": "44651757"}, {"ref": "sashanktalakola/ubc-ocean-resize", "kernel_id": "44141838"}, {"ref": "alexanderbiryukov/systematic-clean-approach-to-tiles-generation", "kernel_id": "44365868"}, {"ref": "alexanderbiryukov/all-you-need-eda-with-visuals", "kernel_id": "44149005"}, {"ref": "vickykuo/self-trained-cnn-26-layers-fold1of5", "kernel_id": "44252126"}, {"ref": "ludovicchangeon/ubc-categorical-focal-loss-baseline", "kernel_id": "44284480"}, {"ref": "davidoden/eda-image-visualization", "kernel_id": "44114117"}, {"ref": "onkur7/eda-ovarian-cancer", "kernel_id": "44745996"}, {"ref": "woodmanaigret/ubc-ocean-reduce-png-to-you-need", "kernel_id": "44343434"}, {"ref": "isakatsuyoshi/perfect-prediction-of-is-tma", "kernel_id": "44543827"}, {"ref": "kodainagano/all-train-images", "kernel_id": "44212136"}, {"ref": "seeingtimes/threw-exception-error", "kernel_id": "44375043"}, {"ref": "mdquilindo/ubc-training-thumbnails", "kernel_id": "44986789"}, {"ref": "jocelyndumlao/ovarian-cancer-classification-with-cnns", "kernel_id": "44155438"}, {"ref": "jocelyndumlao/ovarian-cancer-prediction", "kernel_id": "44195094"}, {"ref": "busharakmea/ovarian-cancer-classification-using-mobile-net", "kernel_id": "44171674"}, {"ref": "busharakmea/ubc-ovarian-cancer-subtype-classification-and-outl", "kernel_id": "44491925"}, {"ref": "yusaku5739/stainnet-get-the-stain-normalized-image", "kernel_id": "44163565"}, {"ref": "motono0223/image-thumbnails", "kernel_id": "44112786"}, {"ref": "motono0223/ubc-pytorch-cnn-training-fold1of5", "kernel_id": "44145901"}, {"ref": "motono0223/ubc-pytorch-cnn-inference", "kernel_id": "44146906"}, {"ref": "motono0223/script-resize", "kernel_id": "44985567"}, {"ref": "satyaprakashshukl/ubc-analysis-eda-wip", "kernel_id": "44118592"}, {"ref": "aditimutha10/ubc-eda", "kernel_id": "44879204"}, {"ref": "japancolorado/fast-ai-first-pass", "kernel_id": "44447522"}, {"ref": "pranavkuppa/tjml-ubc-starter-notebook", "kernel_id": "44744321"}, {"ref": "anniebaby/cnn-model", "kernel_id": "44687762"}, {"ref": "meeratif/ubc-ovarian-cancer-subtype-data-understanding", "kernel_id": "44163939"}, {"ref": "adityaparikh668/know-your-data-eda", "kernel_id": "44103447"}, {"ref": "adityaparikh668/baseline-model-pytorch-cnn-explained-easy", "kernel_id": "44131778"}, {"ref": "renemichleniangoran/cancer-ovarian-detection", "kernel_id": "44908276"}, {"ref": "pjmathematician/ucbo-tilemaker-p3", "kernel_id": "44248838"}, {"ref": "pjmathematician/ucbo-tilemaker-p2", "kernel_id": "44248792"}, {"ref": "pjmathematician/ucbo-tilemaker-p4", "kernel_id": "44248859"}, {"ref": "pjmathematician/ucbo-tilemaker-p5", "kernel_id": "44275434"}, {"ref": "pjmathematician/ucbo-256-tiles-loading", "kernel_id": "44276419"}, {"ref": "pjmathematician/ucbo-tilemaker", "kernel_id": "44221306"}, {"ref": "pjmathematician/ubco-keras-cnn-baseline-thumbnails-inference", "kernel_id": "44130420"}, {"ref": "pjmathematician/ubco-keras-cnn-baseline-thumbnails-training", "kernel_id": "44128345"}, {"ref": "pjmathematician/ubco-image-size-analysis", "kernel_id": "44571843"}, {"ref": "otmanezagnoune/ubc-ovarian-cancer-subtype-classification", "kernel_id": "44703148"}, {"ref": "yinankaggle/ensemble-inference-resnet50", "kernel_id": "44864339"}, {"ref": "theobervanakis/ubco-submission-fullsize-inference", "kernel_id": "44548131"}, {"ref": "theobervanakis/ubco-tiled-256-train", "kernel_id": "44392607"}, {"ref": "simsir1/ubc-oc-eda-pytorch-model", "kernel_id": "44186067"}, {"ref": "yavuzhanbaykara/ubc-data-augmentation-for-synthetic-data-gen", "kernel_id": "44712172"}, {"ref": "yaasmine/datamining", "kernel_id": "44967632"}, {"ref": "debojitbasak02/ovarian-cancer-classification-using-the-csv-file", "kernel_id": "44834622"}, {"ref": "mr0106/ubc-ocean", "kernel_id": "44305785"}, {"ref": "mr0106/ubc-ocea", "kernel_id": "44621314"}, {"ref": "sunilthite/ubc-ocean-testing-data-prediction", "kernel_id": "44757777"}, {"ref": "sunilthite/ubc-ocean-using-vgg-16-model", "kernel_id": "44712637"}, {"ref": "sunilthite/ubc-ocean-using-pre-trained-model", "kernel_id": "44650345"}, {"ref": "sunilthite/ubc-ovarian-cancer-subtype-classification-cnn", "kernel_id": "44200275"}, {"ref": "sunilthite/ubc-ocean-transfer-learning-45", "kernel_id": "44116482"}, {"ref": "sunilthite/ubc-ocean-data-eda", "kernel_id": "44165555"}, {"ref": "sunilthite/ubc-ocean-training-model-512", "kernel_id": "44802475"}, {"ref": "sunilthite/ubc-ocean-testing-predictions-512", "kernel_id": "44809266"}, {"ref": "sunilthite/ubc-ocean-testing-predictions-128", "kernel_id": "44824508"}, {"ref": "sunilthite/ubc-ocean-using-resnet-152", "kernel_id": "44922489"}, {"ref": "buringstraw/ubc-ocsc2", "kernel_id": "44914820"}, {"ref": "buringstraw/ubc-3", "kernel_id": "44960849"}, {"ref": "yunsuxiaozi/ubc-ocean-learn-from-table", "kernel_id": "44584604"}, {"ref": "yunsuxiaozi/welcome-to-this-competition-ubco", "kernel_id": "44477391"}, {"ref": "datascienceconcepts/cnn-pytorch-solution", "kernel_id": "44523803"}, {"ref": "bard2024/cnn-based-classification-of-ovarian-cancer-subtype", "kernel_id": "44146528"}, {"ref": "pranavkural/ovarian-cancer-subtype-efficientnet-fine-tuned", "kernel_id": "44735682"}, {"ref": "jefersonpazze/eda-baseline", "kernel_id": "44109069"}, {"ref": "jefersonpazze/eda-pytorch-efficientnet", "kernel_id": "44196379"}, {"ref": "dikisetyawan/ovarian", "kernel_id": "44227183"}, {"ref": "justinmnewman/how-to-overfit-the-model", "kernel_id": "44140937"}, {"ref": "justinmnewman/sub-classifying-ovarian-cancer-with-tensorflow2", "kernel_id": "44236105"}, {"ref": "naocanzouyihui/ubc-ovarian-cancer-subtype-classification", "kernel_id": "44236932"}, {"ref": "nolialonso/ubc-ocean-png-to-tiff", "kernel_id": "44376230"}, {"ref": "parhamgousheh/ovarian-cancer", "kernel_id": "44158764"}, {"ref": "parhamgousheh/ovarian-cancer-training", "kernel_id": "44600229"}, {"ref": "parhamgousheh/ovarian-cancer-submission", "kernel_id": "44607696"}, {"ref": "christopherkrim/notebook03cb77d0b8", "kernel_id": "44149737"}, {"ref": "malabhbakshi/ubc-starter-notebook", "kernel_id": "44172749"}, {"ref": "uncledrew0205/test-version", "kernel_id": "44387417"}, {"ref": "evrendurmus/ubc-ovarian-cancer-classification", "kernel_id": "44131856"}, {"ref": "zeryanguerra/ubc-ocean-chl1", "kernel_id": "44573693"}, {"ref": "shamseldeenismaiil/ovarian-cancer", "kernel_id": "44111574"}, {"ref": "prabhat91/ubc-ovarian-cancer-eda-images-visualization", "kernel_id": "44151100"}, {"ref": "cortomalt/inferece-fastai-fine-tuning-baseline", "kernel_id": "45365999"}, {"ref": "shubham219/inference", "kernel_id": "45405750"}, {"ref": "shubham219/starter-code-effnetv2s-training", "kernel_id": "45257286"}, {"ref": "dhinkris/crop-duplicate-wsi-images", "kernel_id": "45094224"}, {"ref": "omiran/ubc-ovarian-cancer", "kernel_id": "45828801"}, {"ref": "sonujha090/fastai-inference-ubc-ovarian-cancer-subtype", "kernel_id": "45095089"}, {"ref": "sonujha090/fastai-ubc-ovarian-cancer-subtype", "kernel_id": "45093209"}, {"ref": "sonujha090/eda-ubc-ovarian-image-vs-thumbnail", "kernel_id": "45286354"}, {"ref": "yukkyo/probing-all-test-sample-have-thumbnail", "kernel_id": "45088953"}, {"ref": "rainfalllove/maybe-a-better-way-to-handle-wsi-files", "kernel_id": "45000276"}, {"ref": "rainfalllove/maybe-a-better-way-to-handle-tma-in-testset", "kernel_id": "45046460"}, {"ref": "rainfalllove/p1-maybe-a-better-way-to-handle-wsi-files", "kernel_id": "45044371"}, {"ref": "rainfalllove/solution-cropped-tmas-vs-resized-cropped-wsi-subs", "kernel_id": "45049330"}, {"ref": "rainfalllove/p2-maybe-a-better-way-to-handle-wsi-file-p2", "kernel_id": "45058481"}, {"ref": "rainfalllove/p4-maybe-a-better-way-to-handle-wsi-files", "kernel_id": "45094041"}, {"ref": "rainfalllove/p3-maybe-a-better-way-to-handle-wsi-files", "kernel_id": "45091220"}, {"ref": "samu2505/ubc-create-patches-numpy", "kernel_id": "45112097"}, {"ref": "thangnm1/baseline-public-0-44", "kernel_id": "45312155"}, {"ref": "liuyanfeng/ml-tensorflow-cnn", "kernel_id": "45503022"}, {"ref": "liushuzhi/ubc2023env", "kernel_id": "45215875"}, {"ref": "noured/ovarian-cancer-subtype-classification-using-vit", "kernel_id": "45752376"}, {"ref": "stpeteishii/ovary-image-random-cropping", "kernel_id": "45469111"}, {"ref": "stpeteishii/ovary-cropped-image-for-train", "kernel_id": "45475897"}, {"ref": "stpeteishii/ovarian-cancer-cropped-data-pytorch-lightnng", "kernel_id": "45514566"}, {"ref": "kubes57/ovarian-cancer-eda", "kernel_id": "45655880"}, {"ref": "gunesevitan/ubc-ocean-inference", "kernel_id": "45980271"}, {"ref": "sumitai/eda-baseline", "kernel_id": "45313732"}, {"ref": "emiz6413/image-colorfulness-to-filter-uninformative-patches", "kernel_id": "45913192"}, {"ref": "manasjohri/ubc-ocean-inffer", "kernel_id": "45933164"}, {"ref": "kenc1995/duplicate-check-by-image-hash", "kernel_id": "45978353"}, {"ref": "jirkaborovec/cancer-subtype-lit-torch-infer-tiles-parallel", "kernel_id": "45855333"}, {"ref": "jirkaborovec/cancer-subtype-tiles-masks-w-lightning-timm", "kernel_id": "45019945"}, {"ref": "jirkaborovec/pyvips-load-thumbnail-crop-large-image", "kernel_id": "45011190"}, {"ref": "jirkaborovec/cancer-subtype-lightning-torch-inference-tiles", "kernel_id": "45219297"}, {"ref": "prateek1135/ovary-cancer-detection", "kernel_id": "45092830"}, {"ref": "ludovicchangeon/ubc-images-slicing", "kernel_id": "45154663"}, {"ref": "kingteiro/libvips-pyvips-installation-and-getting-started", "kernel_id": "45178066"}, {"ref": "onkur7/convert-image-to-tiles", "kernel_id": "45493986"}, {"ref": "fernandapratama/ubc-ovarian-cancer-classification-clahe-vgg16", "kernel_id": "45728210"}, {"ref": "fernandapratama/ovarian-cancer-clahe-slicing-efficientnet", "kernel_id": "45836877"}, {"ref": "fernandapratama/ubc-ovarian-cancer-canny-efficientnet", "kernel_id": "45829175"}, {"ref": "fernandapratama/ovarian-cancer-clf-cropping-efficientnet", "kernel_id": "45956879"}, {"ref": "woodmanaigret/cancer-subtype-lightning-caps", "kernel_id": "45899328"}, {"ref": "mdquilindo/ubc-submit-large-images", "kernel_id": "45505247"}, {"ref": "cyberblack0/start-with-it-1", "kernel_id": "45315691"}, {"ref": "bhuynguyn/inference-note-single-model", "kernel_id": "45427597"}, {"ref": "lmyybh/ubco-eda", "kernel_id": "45800995"}, {"ref": "motono0223/ubc-crop-training-thumbnails", "kernel_id": "45524569"}, {"ref": "motono0223/ubc-crop-training-raw-images", "kernel_id": "45530794"}, {"ref": "motono0223/script-ubc-inference-crop", "kernel_id": "45554077"}, {"ref": "motono0223/ubc-resize-images-2048pix-part1", "kernel_id": "45626692"}, {"ref": "motono0223/ubc-resize-images-2048pix-part2", "kernel_id": "45626773"}, {"ref": "motono0223/ubc-resize-images-2048pix-part3", "kernel_id": "45626789"}, {"ref": "motono0223/ubc-resize-images-2048pix-part4", "kernel_id": "45626801"}, {"ref": "motono0223/ubc-resize-images-2048pix-part5", "kernel_id": "45626818"}, {"ref": "motono0223/ubc-resize-images-2048pix-part6", "kernel_id": "45626834"}, {"ref": "motono0223/ubc-finetune-cnn-without-thumbnails", "kernel_id": "45639882"}, {"ref": "motono0223/ubc-infer-efficientnetb0-crop-resize-2048pix", "kernel_id": "45672193"}, {"ref": "motono0223/ubc-infer-cnn-crop-resize-thumbnails", "kernel_id": "45715317"}, {"ref": "japancolorado/inference-notebook", "kernel_id": "45091433"}, {"ref": "sarahyeboahm/ubc-ovarian-cancer-subtype-model-train-with-keras", "kernel_id": "45506935"}, {"ref": "junxhuang/use-c-to-crop-images", "kernel_id": "45614961"}, {"ref": "adityaparikh668/lightning-resnet34-my-baseline-model", "kernel_id": "45315277"}, {"ref": "yannan90/ubc-tiling", "kernel_id": "45636840"}, {"ref": "irinamishneva/eda-ubc-ocean", "kernel_id": "45051321"}, {"ref": "lminhtrn/create-external-data", "kernel_id": "45782564"}, {"ref": "raviiloveyou/ubc-ovarian-cancer-efficientnetb3", "kernel_id": "45385287"}, {"ref": "holmes0610/eda-ubc-ocean", "kernel_id": "45058425"}, {"ref": "xiejili/ubc-eda-feature-engineering-visiualization", "kernel_id": "45782042"}, {"ref": "sunilthite/test-model-prediction-patch-images-128x128", "kernel_id": "45295897"}, {"ref": "sunilthite/test-patch-predict-128x128", "kernel_id": "45344574"}, {"ref": "usmansafdar09/test-wsi-patches-256x256", "kernel_id": "45132684"}, {"ref": "raihan150146/ovarian-cancer-detection-test", "kernel_id": "45392371"}, {"ref": "raihan150146/ovarian-cancer-detection-efficient-way", "kernel_id": "45393208"}, {"ref": "rui314/helpertesorflow", "kernel_id": "45475943"}, {"ref": "rishavsanson/ubc-ocean-ovarian-cancer-efficientnetb0", "kernel_id": "45284868"}, {"ref": "annamalkova88/ovarian-cancer-myvers", "kernel_id": "45725215"}, {"ref": "dukgiim/cancer-subtype-lightning-torch-inference-tiles", "kernel_id": "45455545"}, {"ref": "sandeshbashyal/patches", "kernel_id": "45910643"}, {"ref": "slaine22/final-project-phase-1", "kernel_id": "45036208"}, {"ref": "kermitsquished/pytorch-baseline-histo-background", "kernel_id": "45026829"}, {"ref": "naveedulattock/ovarian-cancer-subtype-detection-part1", "kernel_id": "45786006"}, {"ref": "kilmtoki/submission-csv", "kernel_id": "45845848"}, {"ref": "kpoviesistphane/ubc-ovarian-cancer-subtype-classification-and-outl", "kernel_id": "45272160"}, {"ref": "habibaaymanelsaid/project-mpr", "kernel_id": "45375688"}, {"ref": "tuqayasserroshdy/project", "kernel_id": "45263416"}, {"ref": "rehamgomaa/mpr-project", "kernel_id": "45509297"}, {"ref": "zeyadwaled/notebook78cf766dcd", "kernel_id": "45826806"}, {"ref": "yuan368858/ubc-ocean-generate-tiles-for-training", "kernel_id": "46314377"}, {"ref": "dantee/lunit-attention-mil-inference-for-ovarian-cancer", "kernel_id": "46269120"}, {"ref": "dhinkris/robust-feature-extraction-resnet-k-means-t-sne", "kernel_id": "46165911"}, {"ref": "dhinkris/xgboost-baseline-using-resnet50-k-means", "kernel_id": "46221768"}, {"ref": "dhinkris/dk-resnet50", "kernel_id": "46227618"}, {"ref": "dhinkris/patch-extraction-based-on-k-means-clustering", "kernel_id": "46250588"}, {"ref": "dinkelma/notebooke742149a85", "kernel_id": "46171624"}, {"ref": "gk8231/beginner-cnn-inception-model", "kernel_id": "46972932"}, {"ref": "rainfalllove/12h-is-not-enough", "kernel_id": "46277526"}, {"ref": "awawaz/231122-densenet121", "kernel_id": "46613008"}, {"ref": "samu2505/ubc-smart-fasttiles", "kernel_id": "46241473"}, {"ref": "samu2505/help-inference-submission-scoring-error", "kernel_id": "46106829"}, {"ref": "xiaochungbao/train-version", "kernel_id": "46960643"}, {"ref": "emiz6413/neural-image-compression-with-barlowtwins", "kernel_id": "46676487"}, {"ref": "emiz6413/neural-image-compression-with-vae", "kernel_id": "46278812"}, {"ref": "emiz6413/save-stratified-split-to-csv", "kernel_id": "46173635"}, {"ref": "yuto0712/view-annotation-file", "kernel_id": "46338971"}, {"ref": "clearwaterkzk/ubc-viz-overlay-mask-tile-on-image-tile", "kernel_id": "46366713"}, {"ref": "jirkaborovec/cancer-subtype-cut-wsi-tiles-mask-0-25x", "kernel_id": "46410698"}, {"ref": "yusaku5739/image-normalization-with-histogram-matching", "kernel_id": "46562868"}, {"ref": "bhuynguyn/pytorch-happywhale-siamese-starter", "kernel_id": "46354815"}, {"ref": "jamesvsdadasd/adv-ml", "kernel_id": "46947263"}, {"ref": "adityaparikh668/xgb-feature-extractor-resnet18-right", "kernel_id": "46657227"}, {"ref": "adityaparikh668/mobilenet-concatenated-tiles-personal-best", "kernel_id": "46645724"}, {"ref": "pjmathematician/ocean-segmentation-thumbnails", "kernel_id": "46373678"}, {"ref": "jayshrivastava/ovarian-cancer", "kernel_id": "46530953"}, {"ref": "mizuny/ubc-fine-tuning-with-loss-for-class-imbalance", "kernel_id": "46721513"}, {"ref": "holmes0610/ubc-inference-baseline", "kernel_id": "46391448"}, {"ref": "holmes0610/ubc-train-with-coat-tiny", "kernel_id": "46854678"}, {"ref": "holmes0610/ubc-train-with-tf-efficientnetv2-s", "kernel_id": "46785235"}, {"ref": "holmes0610/ubc-masks-view", "kernel_id": "46967342"}, {"ref": "aniketkolte04/ubc-ocean-eda", "kernel_id": "46762898"}, {"ref": "seojunelee/ovarian-cancer-crop", "kernel_id": "46280687"}, {"ref": "seojunelee/efficientnet-thumbnails", "kernel_id": "46351846"}, {"ref": "enricomanosperti/ubc-ovarian-cancer-subtype", "kernel_id": "46034191"}, {"ref": "rayanaloufi/ubc-ocean-inffer", "kernel_id": "46820020"}, {"ref": "mohamedbaantar/kerascv-train-and-infer-on-thumbnails", "kernel_id": "46819019"}, {"ref": "mohamedbaantar/cancer-subtype-lit-torch-infer-tiles-parallel", "kernel_id": "46818558"}, {"ref": "mohamedbaantar/final-project-phase-1", "kernel_id": "46816280"}, {"ref": "profpratham/making-tiles-and-tfr-record-100-to-150", "kernel_id": "46166672"}, {"ref": "ngnmwt/ubc-ocean-eda-rna-hla-mhc-predict-cancer", "kernel_id": "46439085"}, {"ref": "cymcym/ubc-submission", "kernel_id": "46116087"}, {"ref": "haithamkussaibi/nonblanktilingpyvipslabeled", "kernel_id": "46897159"}, {"ref": "haithamkussaibi/nonblanktilingcv2", "kernel_id": "46751032"}, {"ref": "haithamkussaibi/simpletilingcv2", "kernel_id": "46747893"}, {"ref": "haithamkussaibi/nonblanktilingcv2labeledtma", "kernel_id": "46783607"}, {"ref": "chengmingze234/testubc", "kernel_id": "46299658"}, {"ref": "chengmingze234/fork-of-number2", "kernel_id": "46573398"}, {"ref": "slaine22/project23", "kernel_id": "46438057"}, {"ref": "bohdanmaksymchuk/ovarian-cancer-training", "kernel_id": "46763954"}, {"ref": "sdtran14/ubc-test", "kernel_id": "46960010"}, {"ref": "raghadalenazi/kaggle-competion", "kernel_id": "46309779"}, {"ref": "k122215awaisahmed/notebook6fb27da767", "kernel_id": "46171386"}, {"ref": "naveedulattock/notebook4e757defb3", "kernel_id": "46262436"}, {"ref": "naveedulattock/cancer-classification-ipynb", "kernel_id": "46725707"}, {"ref": "serhiikharchuk/trythisnew", "kernel_id": "46587677"}, {"ref": "kiseki0762/baseline", "kernel_id": "46280109"}, {"ref": "rangtang/download-updated-data-using-kaggle-api", "kernel_id": "46482338"}, {"ref": "anushuabiswas/crop-duplicates-with-data", "kernel_id": "46965009"}, {"ref": "zeus101/notebook", "kernel_id": "46758288"}, {"ref": "qyfauto/ubc-infer-cnn-crop-resize-thumbnails-9dcc0f", "kernel_id": "46167221"}, {"ref": "lichengxiang2596/resnet-cancer", "kernel_id": "46728757"}, {"ref": "yuan368858/ubc-ocean-inference-maxvit-tile224-sample50", "kernel_id": "47107699"}, {"ref": "yuan368858/ubc-ocean-training-labeled-tiles-224-maxvit", "kernel_id": "47066377"}, {"ref": "atamazian/ubc-ocean-tf-swin-large-inference-debug", "kernel_id": "47516236"}, {"ref": "asimandia/all-kaggle-images-printed", "kernel_id": "47519163"}, {"ref": "mohammedessam97/top50-v3-cancer-subtype-inference", "kernel_id": "47406812"}, {"ref": "alielhenidy/pytorch-resnet-ubc-ovarn", "kernel_id": "47085596"}, {"ref": "atinybay/ubc-ocean-train0-1", "kernel_id": "47564673"}, {"ref": "atinybay/ubc-ocean-data0-1", "kernel_id": "47527266"}, {"ref": "wuliaokaola/ocean-tmp-using", "kernel_id": "47857569"}, {"ref": "vinitkp/ovariancancerclassification-cnn", "kernel_id": "47503607"}, {"ref": "vinitkp/ubc-pytorch-cnn-inference", "kernel_id": "47527938"}, {"ref": "liushuzhi/exrestartprobefocus", "kernel_id": "47767409"}, {"ref": "aikhmelnytskyy/cancer-subtype-tpu", "kernel_id": "47492681"}, {"ref": "jinstat/cropping-threshold", "kernel_id": "47527823"}, {"ref": "quan0095/ubc-ensemble-swin-1024-16-tiles", "kernel_id": "47104387"}, {"ref": "xiaochungbao/kerascv-train-and-infer-on-thumbnails", "kernel_id": "47040358"}, {"ref": "xiaochungbao/inference", "kernel_id": "47079988"}, {"ref": "emiz6413/neural-image-compression-with-bidirectional-gan", "kernel_id": "47061420"}, {"ref": "bl21812/notebook22c987ab85", "kernel_id": "47115489"}, {"ref": "patrob/ubc-ocean-inferencev4", "kernel_id": "47807359"}, {"ref": "maxchen303/check-img-size", "kernel_id": "47320563"}, {"ref": "chihantsai/ubc-ocean-download", "kernel_id": "47726559"}, {"ref": "ashishdeshmukh123/detecting-the-required-targets", "kernel_id": "47230749"}, {"ref": "rickycorte/ubc-2023-submit", "kernel_id": "47848517"}, {"ref": "rickycorte/ubc-model-test-pre-tiled-dataset-2048-512", "kernel_id": "47470460"}, {"ref": "lichangheng0107/copy2", "kernel_id": "47272821"}, {"ref": "dagobertopanassol/ubc-with-mask-in-big-images-croped-red-and-green", "kernel_id": "47864073"}, {"ref": "forcewithme/ocean-tmp-using", "kernel_id": "47861248"}, {"ref": "choiminsoo/eff-weight", "kernel_id": "47760833"}, {"ref": "choiminsoo/notebooka8cd74f1a7", "kernel_id": "47763947"}, {"ref": "fstolarczyk/ubc-model", "kernel_id": "47979703"}, {"ref": "wksdnr123/ver-eda-baseline", "kernel_id": "47238811"}, {"ref": "shota395/align-image-sizes", "kernel_id": "47094124"}, {"ref": "dongzhangzj/ubc-4-sample-all-images-stain-normed", "kernel_id": "47886711"}, {"ref": "dongzhangzj/ubc-4-test-simulation", "kernel_id": "47617392"}, {"ref": "bhuynguyn/ubc-submission", "kernel_id": "47569146"}, {"ref": "luckypen/grad-cam-heatmap-for-model-evaluation", "kernel_id": "47466054"}, {"ref": "sauravikulkarni/eda-baseline", "kernel_id": "47642460"}, {"ref": "bryamblasrimac/classification-ovarian-visiontransformer-pytorch", "kernel_id": "47522648"}, {"ref": "adityaparikh668/full-images", "kernel_id": "47811038"}, {"ref": "adityaparikh668/vit-transformers-for-tiled-images", "kernel_id": "47213471"}, {"ref": "erfansaeedi/simple", "kernel_id": "47663605"}, {"ref": "sfariya10/ovarian-cancer-subtype-classification", "kernel_id": "47435485"}, {"ref": "anilyagiz/notebookda3c754847", "kernel_id": "47565750"}, {"ref": "holmes0610/ubc-resize-images-2048", "kernel_id": "47082686"}, {"ref": "holmes0610/ubc-train-with-efficientnetv2-l-in21ft1k", "kernel_id": "47026371"}, {"ref": "holmes0610/ubc-crop-duplicate-wsi-images", "kernel_id": "47023381"}, {"ref": "holmes0610/ensemble-inference-0-44", "kernel_id": "47619143"}, {"ref": "mukaffimoin/ubc-ovarian-cancer-inceptionv3", "kernel_id": "47515604"}, {"ref": "mukaffimoin/ubc-ovarian-cancer-mobilenetv3", "kernel_id": "47440347"}, {"ref": "zznznb/wsi-inference-public-0-6-private-0-58", "kernel_id": "47455132"}, {"ref": "everettyou/ubc-ocean-train0-1", "kernel_id": "47609484"}, {"ref": "donottalk/ubc-ovarian-cancer-subtype-classification-and-outl", "kernel_id": "47883854"}, {"ref": "mohamedbaantar/cancer-subtype-tiles-masks-w-lightning-658945", "kernel_id": "47581801"}, {"ref": "prathamadhikari/fork-of-submission-resnet-try-v", "kernel_id": "47289903"}, {"ref": "profpratham/fork-of-submission-resnet-try-v", "kernel_id": "47284729"}, {"ref": "profpratham/working-submission-code", "kernel_id": "47330549"}, {"ref": "profpratham/1024-p-submission-code", "kernel_id": "47582452"}, {"ref": "nani123456789/ubc-ovarian-cancer-classification", "kernel_id": "47917625"}, {"ref": "nolialonso/ubc-ocean-qupath-geojson-annotations", "kernel_id": "47445598"}, {"ref": "prakharsinghchouhan/ubc-ovarian-eda-datapipeline", "kernel_id": "47506271"}, {"ref": "malabhbakshi/crop-resize-wsi-images", "kernel_id": "47231993"}, {"ref": "malabhbakshi/ubc-pytorch-cnn-training-fold1of5", "kernel_id": "47516333"}, {"ref": "naveedulattock/image-processed-denoising", "kernel_id": "47380660"}, {"ref": "naveedulattock/denoised-images-not-thumbnails", "kernel_id": "47474995"}, {"ref": "naveedulattock/overlaying-masks", "kernel_id": "47657816"}, {"ref": "naveedulattock/image-processing-using-sklearn", "kernel_id": "47308824"}, {"ref": "naveedulattock/step-3-improved-images", "kernel_id": "47234646"}, {"ref": "naveedulattock/step-3-enhanced-images", "kernel_id": "47229269"}, {"ref": "naveedulattock/step-2-removing-image-background", "kernel_id": "47202509"}, {"ref": "naveedulattock/step-1-preparing-data", "kernel_id": "47180960"}, {"ref": "jensrisamosir/pm-kel-02", "kernel_id": "47948647"}, {"ref": "jensrisamosir/pm-02", "kernel_id": "47946949"}, {"ref": "jensrisamosir/02-performace-measure-1", "kernel_id": "47270285"}, {"ref": "jensrisamosir/notebook331b899364", "kernel_id": "47098375"}, {"ref": "santatobing/022-023-055-ubc-ovarian-cancer-subtype-classificat", "kernel_id": "47069891"}, {"ref": "evaurankar/ml-project-randomforest", "kernel_id": "47968679"}, {"ref": "evaurankar/ml-project-resnet", "kernel_id": "47943240"}, {"ref": "azswsxdetw/notebook0d6c379fa9", "kernel_id": "47043407"}, {"ref": "amarininsfran/notebook5fc3fc7d4b", "kernel_id": "47354908"}, {"ref": "nanerwei/train1", "kernel_id": "47194266"}, {"ref": "arys02/01-01-training", "kernel_id": "47713391"}, {"ref": "arys02/01-02-1-training", "kernel_id": "47892599"}, {"ref": "arys02/01-02-2-validation", "kernel_id": "47892904"}, {"ref": "arys02/ovarian-cancer-inference", "kernel_id": "47628970"}, {"ref": "mariammahmoudhafez/ovarian-cancer", "kernel_id": "47901104"}, {"ref": "petrichorfff/res2next50-in1k-cs640", "kernel_id": "47065373"}, {"ref": "kerollosnabil22/notebook0d40f86dee", "kernel_id": "47493838"}, {"ref": "phdmderdrunkenstein/tfr-record-1024-350-400", "kernel_id": "47447002"}, {"ref": "phdmderdrunkenstein/tfr-1024-0-350", "kernel_id": "47447149"}, {"ref": "phdmderdrunkenstein/anotated-data-creater", "kernel_id": "47626564"}, {"ref": "phdmderdrunkenstein/fork-of-submission-resnet-try-v", "kernel_id": "47289607"}, {"ref": "arnavamin/cs184a-ubc-final-project", "kernel_id": "47492079"}, {"ref": "casiquejonathan7/notebookd429c643a9", "kernel_id": "47587314"}, {"ref": "dinahussam20018/ubc-ocean", "kernel_id": "47794715"}, {"ref": "cperivol/dumb-notebook", "kernel_id": "47902350"}, {"ref": "ayouberradi/deep-learning", "kernel_id": "47975839"}, {"ref": "reasat/bow-global-2023-12-14-20-32-38-with-other", "kernel_id": "48732891"}, {"ref": "mpware/ubc-tma-generator-from-wsi", "kernel_id": "48771004"}, {"ref": "evveskov/ovariancancerclassification-dilated-cnn", "kernel_id": "48222134"}, {"ref": "shigengtian/split-tma-cv2-cnn-inference", "kernel_id": "48442452"}, {"ref": "mmelahi/ubc-ocean-final-inference", "kernel_id": "48942445"}, {"ref": "mmelahi/ubc-ocean-final-single-model-inference", "kernel_id": "48944869"}, {"ref": "skarthikguruswamy/inceptionv3-tl-classifier", "kernel_id": "48743603"}, {"ref": "hustzx/2nd-0-61-infernece-abmil-dsmil-transmil", "kernel_id": "48562046"}, {"ref": "hustzx/2nd-0-61-train-abmil-dsmil-transmil", "kernel_id": "48938253"}, {"ref": "parthr164/ubc-ovarian-cancer-baseline-model-using-resnet34", "kernel_id": "48287280"}, {"ref": "hideyukizushi/ubc-infv2other-alef-a-203-b3", "kernel_id": "48860387"}, {"ref": "rishabh0517/ubcbaselinetrain", "kernel_id": "48404290"}, {"ref": "brendanartley/ubco-efficient-tiling-code", "kernel_id": "48919284"}, {"ref": "abdulkadirguner/fork-of-01ocak-45-veren-with-other-singlesegm-b5", "kernel_id": "48799942"}, {"ref": "xiaocao123/lb-0-45", "kernel_id": "48306874"}, {"ref": "bhavikjikadara/ovarian-cancer-classification-using-resnet50-model", "kernel_id": "48863525"}, {"ref": "fstolarczyk/ubc-resize-train-data-part-2", "kernel_id": "48478730"}, {"ref": "fstolarczyk/ubc-split-data-from-masks", "kernel_id": "48402821"}, {"ref": "fstolarczyk/ubc-resize-train-data-part-1", "kernel_id": "48403286"}, {"ref": "minemine12345678/ubc-ocean-tf-efficientnet-b2-ns-submit", "kernel_id": "48168154"}, {"ref": "shota395/why-can-t-i-submit", "kernel_id": "48237225"}, {"ref": "saifdaoud2/ubc-inference-w-tiles", "kernel_id": "48604859"}, {"ref": "pouyan89/ubc-ocean-eda-patch-images-and-masks", "kernel_id": "48249777"}, {"ref": "ashmitsatpute/ova-effnet-infer", "kernel_id": "48370799"}, {"ref": "alirezashokrollahi/ubc-final-submission", "kernel_id": "48868988"}, {"ref": "hafsaouajdi/ovaria", "kernel_id": "48379270"}, {"ref": "yannan90/ubc-submit-attention", "kernel_id": "48780745"}, {"ref": "xuyangsong/ubc-ocean", "kernel_id": "48208722"}, {"ref": "conanwen/ubc-ocean", "kernel_id": "48735366"}, {"ref": "orzlala/acmil-training", "kernel_id": "48722708"}, {"ref": "orzlala/mmil-training", "kernel_id": "48730417"}, {"ref": "orzlala/transmil-training", "kernel_id": "48197345"}, {"ref": "orzlala/generate-tumor-image-patch", "kernel_id": "48125774"}, {"ref": "shivamardeshna/lb-0-57", "kernel_id": "48376989"}, {"ref": "zznznb/2nd-0-62-infernece-abmil-dsmil", "kernel_id": "48991022"}, {"ref": "mohammedsalf/classify-ovarian-cancer-subtypes", "kernel_id": "48256363"}, {"ref": "symonmwenewungu/notebook834d73d6ee", "kernel_id": "48215764"}, {"ref": "ananyakrishnan4/fork-of-ubc-ocean", "kernel_id": "48438967"}, {"ref": "ananyakrishnan4/fork-of-fork-of-ubc-ocean", "kernel_id": "48574008"}, {"ref": "ananyakrishnan4/ubc-ocean", "kernel_id": "48015634"}, {"ref": "gabrielchehade/tiling-images-with-tensorflow", "kernel_id": "48121807"}, {"ref": "mohdsufiyan095/ubc-ovarian", "kernel_id": "48215521"}, {"ref": "shaunakmandal/ovarian-cancer-segmentation", "kernel_id": "48327262"}, {"ref": "m1dsolo/ubc-ocean-7th-submission", "kernel_id": "48941489"}, {"ref": "serhiikharchuk/newcode332", "kernel_id": "48844101"}, {"ref": "zynewbie/ubc-tiles-submit", "kernel_id": "48527890"}, {"ref": "mfmfmf3/clean-code-ubc-ovarian-cancer", "kernel_id": "48375726"}, {"ref": "gradientterminato/submission", "kernel_id": "48225040"}, {"ref": "greatgreysheep/lb-0-45", "kernel_id": "48506157"}, {"ref": "phdmderdrunkenstein/13-days-left-with-file-save", "kernel_id": "48231023"}, {"ref": "haragdounia/first-submission", "kernel_id": "48016516"}, {"ref": "ayouberradi/deep-learning-93d2b8", "kernel_id": "48015505"}, {"ref": "yungchopps/custom-resnet-model-with-training-and-inferencing", "kernel_id": "48268981"}, {"ref": "dantee/phikon-abmil-inference-for-ovarian-cancer", "kernel_id": "49875031"}, {"ref": "jbschiratti/winning-submission", "kernel_id": "49093108"}, {"ref": "liushuzhi/5thplacesolutionsubnotebook", "kernel_id": "49104645"}, {"ref": "zznznb/wsi-train", "kernel_id": "49031790"}, {"ref": "pratyushkishan18/eda-for-project", "kernel_id": "49976615"}, {"ref": "vainavisamant/cnn-model-training", "kernel_id": "50535374"}, {"ref": "sauravikulkarni/eda-baseline-b949b7", "kernel_id": "50271937"}, {"ref": "qiufengyi/ubc-ocean", "kernel_id": "50025892"}, {"ref": "tanvikapil/data-augmentation", "kernel_id": "50317396"}, {"ref": "tanvikapil/data-aug", "kernel_id": "50645897"}, {"ref": "stephanschweitzer/pmc-test-2", "kernel_id": "50465993"}, {"ref": "stephanschweitzer/pmc-2-with-jump", "kernel_id": "50323867"}, {"ref": "stephanschweitzer/pmc-test-1", "kernel_id": "50309469"}, {"ref": "sreenithisv/ovarian-cancer-subtype-classification-with-cnn", "kernel_id": "50393713"}, {"ref": "mariamabdelkhabir/notebooke70b5311f3", "kernel_id": "50099479"}, {"ref": "mariammahmoudhafez/cnn-model", "kernel_id": "50123378"}, {"ref": "shahdmabrouk15/mprproject-f8d46e", "kernel_id": "50074556"}, {"ref": "shahdmabrouk15/mprproject-b94141", "kernel_id": "50122854"}, {"ref": "dantee/lunit-abmil-inference-for-ovarian-cance", "kernel_id": "51825411"}, {"ref": "hellydhamesha/tiling", "kernel_id": "53642686"}, {"ref": "hellydhamesha/sequential-classification", "kernel_id": "53890172"}, {"ref": "mohamedashrafkhalifa/ovarian-canser-classification", "kernel_id": "53558003"}, {"ref": "sukirtisharma1/phikon-abmil-inference-for-ovarian-cancer", "kernel_id": "53388836"}, {"ref": "artemis88/outputtiles", "kernel_id": "54230642"}, {"ref": "manasheytiragati/u-net", "kernel_id": "54118098"}, {"ref": "tarunkumarkoti/sequentialmodel", "kernel_id": "54512272"}, {"ref": "vishalsortur2/overian-cancer-uisng-keras", "kernel_id": "54835570"}, {"ref": "kumarsanjay001/notebook14b6171344", "kernel_id": "54009099"}, {"ref": "neerajaneelima/notebooka968741381", "kernel_id": "55194693"}, {"ref": "tarunkumarkoti/sequentialmodelfinal", "kernel_id": "55227343"}, {"ref": "sasukeshenblues/fork-of-testsub01-4ff600", "kernel_id": "57545914"}, {"ref": "sasukeshenblues/maxsamples", "kernel_id": "57477478"}, {"ref": "babakes/ovarian-canser-classification", "kernel_id": "58523754"}, {"ref": "marissa31/ml-project", "kernel_id": "59342948"}, {"ref": "chihantsai/ubc-ocean-fate-privetestcsore-058", "kernel_id": "66419378"}, {"ref": "faizajameel/fork-of-ubc-ocean-chl1-ede02c", "kernel_id": "67965541"}, {"ref": "mutinasathwikapuroop/project-1-compression", "kernel_id": "68418741"}, {"ref": "mutinasathwikapuroop/project-1-lib", "kernel_id": "68451615"}, {"ref": "mutinasathwikapuroop/project-1-inference", "kernel_id": "68452475"}, {"ref": "mutinasathwikapuroop/project-1-analysis", "kernel_id": "68445988"}, {"ref": "mutinasathwikapuroop/project-1-final", "kernel_id": "70681130"}, {"ref": "kazir2n/ubc-ocean-jpeg-dataset-pipeline", "kernel_id": "71116357"}, {"ref": "davidvinc/ovarian-canser-classification-a2e28e", "kernel_id": "71155426"}, {"ref": "bobyeye/inference", "kernel_id": "72592108"}, {"ref": "anushreedhar/python-eda-ubc-evaluation-notebook", "kernel_id": "73908793"}, {"ref": "romaintotal/k-means-2", "kernel_id": "73107905"}, {"ref": "skarthikguruswamy/fork-of-jan9-train-attmil-lunit-224-400tile-f5dd51", "kernel_id": "74473294"}, {"ref": "skarthikguruswamy/jan16-inf-attmil-lunit-224-400tiles-29c766", "kernel_id": "74903841"}, {"ref": "kcharannaik/python-eda-ubc-evaluation-notebook", "kernel_id": "74090841"}, {"ref": "vinravathjanusha/python-eda-ubc-evaluation-notebook", "kernel_id": "74094683"}, {"ref": "vinravathjanusha/python-eda-ubc-evaluation-notebook-11445e", "kernel_id": "74127657"}, {"ref": "adepusrihita/python-eda-ubc-evaluation-notebook", "kernel_id": "74083188"}, {"ref": "soumyabattu/soumya-battu-python-eda-ubc-evaluation-notebook", "kernel_id": "74082558"}, {"ref": "mayasatviki/python-eda-ubc-evaluation-notebook-11445e", "kernel_id": "74109540"}, {"ref": "ananyavakkalanka/python-eda-ubc-evaluation-notebook", "kernel_id": "74082550"}, {"ref": "mulasthammanaswini/python-eda-ubc-evaluation-notebook", "kernel_id": "74203406"}, {"ref": "kavyabeesupalli/python-eda-ubc-evaluation-notebook", "kernel_id": "74127239"}, {"ref": "ananyasumakonda/python-eda-ubc-evaluation-notebook", "kernel_id": "74106208"}, {"ref": "nawazpasha27/python-eda-ubc-evaluation-notebook", "kernel_id": "74129647"}, {"ref": "akshayavin/python-eda-ubc-evaluation-notebook", "kernel_id": "74399891"}, {"ref": "mohammedfaizancbit/eda-evaluation-notebook", "kernel_id": "74172183"}, {"ref": "jangamkesavasree/python-eda-ubc-evaluation-notebook", "kernel_id": "74082628"}, {"ref": "zohaib09/python-eda-ubc-evaluation-notebook", "kernel_id": "74082556"}, {"ref": "zohaib09/my-eda-evaluation-notebook", "kernel_id": "74119279"}, {"ref": "paripoornareddy/python-eda-ubc-evaluation-notebook", "kernel_id": "74144996"}, {"ref": "harshithavalapa/python-eda-ubc-evaluation-notebook", "kernel_id": "74082815"}, {"ref": "manasvikurri/python-eda-ubc-evaluation-notebook-5feace", "kernel_id": "74218108"}, {"ref": "nitturitripura/python-eda-ubc-evaluation-notebook-11445e", "kernel_id": "74184921"}, {"ref": "suprajap43/python-eda-ubc-evaluation-notebook", "kernel_id": "74082545"}, {"ref": "laasyamantena/python-eda-eval-5-1-25", "kernel_id": "74082568"}, {"ref": "gmalavikamalleshwari/python-eda-ubc-evaluation-notebook", "kernel_id": "74157659"}, {"ref": "chundurimanaswini/python-eda-ubc-evaluation-notebook", "kernel_id": "74082555"}, {"ref": "chundurimanaswini/ubc-ocean-eda", "kernel_id": "74079989"}, {"ref": "soujanyathammana/python-eda-ubc-evaluation-notebook", "kernel_id": "74082582"}, {"ref": "vemuriprathima/python-eda-ubc-evaluation-notebook", "kernel_id": "74082569"}, {"ref": "perugubhavana/python-eda-ubc-evaluation-notebook", "kernel_id": "74106263"}, {"ref": "bhoumiksiddharth/python-eda-ubc-evaluation-notebook", "kernel_id": "74137920"}, {"ref": "kommeraakshaya/python-eda-ubc-evaluation-notebook", "kernel_id": "74134053"}, {"ref": "udaykumar4/ubc-ocean-eda", "kernel_id": "74080054"}, {"ref": "udaykumar4/python-eda-ubc-evaluation-notebook", "kernel_id": "74125803"}, {"ref": "harshithamunnuru/python-eda-ubc-evaluation-notebook", "kernel_id": "74135094"}, {"ref": "syedasidra8/python-eda-ubc-evaluation-notebook", "kernel_id": "74082553"}, {"ref": "dhrutidounde/python-eda-ubc-evaluation-notebook", "kernel_id": "74086881"}, {"ref": "varshini2025/python-eda-ubc-evaluation-notebook", "kernel_id": "74145690"}, {"ref": "tatipellirishitha/python-eda-ubc-evaluation-notebook", "kernel_id": "74082747"}, {"ref": "laasyasri07/python-eda-ubc-evaluation-notebook", "kernel_id": "74087907"}, {"ref": "swathi1011/python-eda-ubc-evaluation-notebook", "kernel_id": "74082541"}, {"ref": "hamsini122/python-eda-ubc-evaluation-notebook-0eb37d", "kernel_id": "74143158"}, {"ref": "tanmaydacha/python-eda-ubc-evaluation-notebook", "kernel_id": "74085612"}, {"ref": "smithanyayadav/python-eda-ubc-evaluation-notebook", "kernel_id": "74082819"}, {"ref": "wahajbabukhan/python-eda-ubc-evaluation-notebook", "kernel_id": "74278695"}, {"ref": "bsushmareddy/python-eda-ubc-evaluation-notebook", "kernel_id": "74143197"}, {"ref": "sana07ali/python-eda-ubc-evaluation-notebook", "kernel_id": "74337455"}, {"ref": "sahithianupuram/python-eda-ubc-evaluation-notebook-1", "kernel_id": "74314119"}, {"ref": "sahithianupuram/python-eda-ubc-evaluation-notebook-0eb37d", "kernel_id": "74314336"}, {"ref": "rishikamalyala/rishika-python-eda-ubc-evaluation-notebook", "kernel_id": "74759633"}, {"ref": "rithikreddypishati/python-eda-ubc-evaluation-notebook", "kernel_id": "74937097"}, {"ref": "rithikreddypishati/python-eda-ubc-evaluation-notebook-d11862", "kernel_id": "74937218"}, {"ref": "nataliecheong/ovarian-cancer-detection", "kernel_id": "76305056"}, {"ref": "souma1/cancer-d-tection", "kernel_id": "77139854"}, {"ref": "anshumanrayy/3apr-ovarian-cancer", "kernel_id": "80012446"}, {"ref": "umutcangll/eda-baseline", "kernel_id": "82180216"}, {"ref": "soumayahamroun/pfe-cancer-d-tection-71c79a", "kernel_id": "83411600"}, {"ref": "marilenamarmora/ovarian-cancer-thesis", "kernel_id": "83710603"}, {"ref": "wasim2019/ovarian-cancer-detection-wasim", "kernel_id": "84779475"}, {"ref": "baiweicheng/ovarian-caner-subtype-classification", "kernel_id": "85771742"}, {"ref": "pierosarmientoayala/clasificaci-n-del-c-ncer-de-ovario-con-cnn", "kernel_id": "85613991"}, {"ref": "anji2705/ubco-keras-cnn", "kernel_id": "86338127"}, {"ref": "sz1008/ovarian-caner-subtype-classification-feature", "kernel_id": "87392824"}, {"ref": "sz1008/ovarian-caner-subtype-classification", "kernel_id": "87318823"}, {"ref": "xueyuanhe/ovarian-caner-subtype-classification-vgg19", "kernel_id": "87389643"}, {"ref": "anikaislam1298/ovarian-cancer-classification-cse715-project", "kernel_id": "89165869"}, {"ref": "anikaislam1298/cse715-project", "kernel_id": "90236504"}, {"ref": "binhlt04/bigdata", "kernel_id": "91660171"}, {"ref": "jannatul21/ovarian-cancer-try", "kernel_id": "102441088"}, {"ref": "riyasherawat/notebook5503916229", "kernel_id": "103297883"}, {"ref": "nocarbonintelligence/ubc-ovarian", "kernel_id": "103236851"}, {"ref": "savvya/notebook5503916229-83ee68", "kernel_id": "103367482"}, {"ref": "maximusshtefan/generate-dataset-autoencoder-no-masks", "kernel_id": "108168772"}, {"ref": "abhi9737/ubc-dataset-results", "kernel_id": "111462339"}, {"ref": "sankalpaids/ubc-ovarian-cancer-deep-learning", "kernel_id": "118922554"}, {"ref": "i12tttt/ubc-ovarian-feature-extraction", "kernel_id": "133311921"}, {"ref": "kamisettyharitha/ovarian-cancer-implementation", "kernel_id": "135835932"}]}
{"competition_id": "45890", "kernels": [{"ref": "kritidoneria/introduction-to-model-explainability", "kernel_id": "6268106"}, {"ref": "sukantabasu/prediction-of-wine-quality-by-flaml", "kernel_id": "34766759"}, {"ref": "howt51/pca-kmeans-pycaret", "kernel_id": "34874830"}, {"ref": "rsakata/optimize-qwk-by-lgb", "kernel_id": "34936613"}, {"ref": "paddykb/ps-s3e5-keras-weighted-kappa-loss", "kernel_id": "34720174"}, {"ref": "paddykb/ps-s3e5-regression-optimise-class-cutoff", "kernel_id": "34621052"}, {"ref": "paddykb/ps-s3e5-nn-lightautoml-thresholding-oh-my", "kernel_id": "34899904"}, {"ref": "paddykb/ps-s3e5-repeated-sr-with-inequalities", "kernel_id": "34903544"}, {"ref": "phongnguyen1/s3e5-from-eda-to-final-submission", "kernel_id": "34386429"}, {"ref": "scirpus/jeepy-booze", "kernel_id": "34714815"}, {"ref": "usharengaraju/ai-explainability-360", "kernel_id": "34624177"}, {"ref": "pardeep19singh/pss3e5-eda-and-modeling-using-original-dataset", "kernel_id": "34701308"}, {"ref": "ryancaldwell/tsne-and-minisom-class-separation", "kernel_id": "34666879"}, {"ref": "cv13j0/pss-3-episode-5-a-simple-model", "kernel_id": "34633767"}, {"ref": "cv13j0/gbtd-modeling-xgboost-lr", "kernel_id": "34753884"}, {"ref": "rumasinha/winedatasetclassificationnotebook", "kernel_id": "34748329"}, {"ref": "rumasinha/winequalityclassification", "kernel_id": "34857503"}, {"ref": "rogeriodelfim/tps-fev-2023-53-01-eda-lbgm-0-55", "kernel_id": "34925954"}, {"ref": "davidhguerrero/23205-pss3e5", "kernel_id": "34777214"}, {"ref": "davidhguerrero/drop-features-reduction-with-t-sne-model", "kernel_id": "34941496"}, {"ref": "nightwolfbrooks/multinomial-logistic-regression-neural-network", "kernel_id": "34694333"}, {"ref": "maheswarareddyp/pss35-winequality-mahesh", "kernel_id": "34671911"}, {"ref": "jhotor/winedatasetsynthetic", "kernel_id": "34660304"}, {"ref": "vivekvarma23/ps-s3e5-eda-catboost", "kernel_id": "34596536"}, {"ref": "docxian/ps-s3-e5-linear-model-for-multiclass-problem", "kernel_id": "34709568"}, {"ref": "docxian/ps-s3-e5-linear-model-regression-based", "kernel_id": "34738982"}, {"ref": "datascientistsohail/wine-quality-eda-se03-ep05", "kernel_id": "34701577"}, {"ref": "ch124uec/wine-tasting-with-plotly-viz-xgboost-tuning", "kernel_id": "34599853"}, {"ref": "slythe/single-model-feature-engine-pss5e5", "kernel_id": "34813797"}, {"ref": "slythe/ultimate-eda-model-selection-pse3e5", "kernel_id": "34640799"}, {"ref": "oscarm524/ps-s3-ep5-eda-modeling", "kernel_id": "34596509"}, {"ref": "jacoporepossi/tutorial-quadratic-weighted-kappa-explained", "kernel_id": "34629986"}, {"ref": "craigmthomas/play-s3e5-eda-models", "kernel_id": "34598069"}, {"ref": "craigmthomas/play-s3e5-multiple-binary-regressors", "kernel_id": "34823326"}, {"ref": "omarvivas/torch-tpgs-s3e5-v1", "kernel_id": "34700635"}, {"ref": "omarvivas/keras-tpgs-s3e5-v1", "kernel_id": "34701165"}, {"ref": "omarvivas/xgb-tpgs-s3e5-v1", "kernel_id": "34600041"}, {"ref": "omarvivas/lgbm-tpgs-s3e5-v1", "kernel_id": "34596638"}, {"ref": "omarvivas/cb-tpgs-s3e5-v1", "kernel_id": "34599240"}, {"ref": "manavd22/eda-regression-models", "kernel_id": "34739039"}, {"ref": "stpeteishii/pss3-ep5-lgbm-with-optuna", "kernel_id": "34687912"}, {"ref": "stpeteishii/pss3-ep5-visualize-importance", "kernel_id": "34672450"}, {"ref": "mmellinger66/ps3e5-wine-quality-models", "kernel_id": "34599165"}, {"ref": "validmodel/playground-s3-e5-eda-model-featureengg", "kernel_id": "34644524"}, {"ref": "prem00/power-of-pandas", "kernel_id": "34702727"}, {"ref": "mpwolke/dry-january-is-over-bottle-shock", "kernel_id": "34616280"}, {"ref": "jcaliz/ps-s03e05-a-complete-eda", "kernel_id": "34596619"}, {"ref": "edgarbc/ps-s3e5-feat-eng", "kernel_id": "34780761"}, {"ref": "edgarbc/ps-s3e5-eda-baseline-submission", "kernel_id": "34629110"}, {"ref": "sadmansakib7/eda-original-synthetic-data", "kernel_id": "34596867"}, {"ref": "jbomitchell/boltzmann-ensemble-match-to-ideal-distribution", "kernel_id": "34817460"}, {"ref": "jbomitchell/simple-blend", "kernel_id": "34878018"}, {"ref": "jbomitchell/median-ensembler", "kernel_id": "34970511"}, {"ref": "mukaseevru/ps-s3e5-lama-lightautoml-fe-extra-data", "kernel_id": "34683419"}, {"ref": "mukaseevru/ps-s3e5-lama-lightautoml-nn-extra-data", "kernel_id": "34814556"}, {"ref": "lavagod/pc-s03e05-catboost-code-0-55378", "kernel_id": "34602486"}, {"ref": "jamiedonaldmccann/ps-s3e5", "kernel_id": "34614761"}, {"ref": "priyankapalshetkar/playground-s3-e5", "kernel_id": "34688807"}, {"ref": "matthewjansen/wine-quality-prediction-baseline", "kernel_id": "34596574"}, {"ref": "abdoulayebalde/pss3-e5-eda-catboost-baseline-model", "kernel_id": "34632396"}, {"ref": "trushatalati/pse5-easy-eda-logistic-regression", "kernel_id": "34804251"}, {"ref": "akioonodera/ps-3-05-lgbm-multiclass", "kernel_id": "34596749"}, {"ref": "kdmitrie/pgs35-eda-test-of-models-blending", "kernel_id": "34605891"}, {"ref": "kdmitrie/pgs35-ensemble-of-pytorch-models", "kernel_id": "34433946"}, {"ref": "akshatbhat/ps-s3e5-0-54968-rank-281-eda-orderedlogit-lgbm", "kernel_id": "34948514"}, {"ref": "mobenmo/get-started-xgboost-eda-0-55-score", "kernel_id": "34626919"}, {"ref": "massimot/pgs-s3-e5", "kernel_id": "34769154"}, {"ref": "wojciechdobrychop/deep-learning-works-too-i-guess-s3e5", "kernel_id": "34648551"}, {"ref": "soupmonster/s03e05-eda-modeling", "kernel_id": "34605389"}, {"ref": "negoto/ps3-5-k-nearest-neighbors-regression-r", "kernel_id": "34949269"}, {"ref": "colemankrawczyk/just-a-line", "kernel_id": "34833538"}, {"ref": "ericdeuber/wine-quality-predictions-ps-s3-e5-eda-models", "kernel_id": "34880211"}, {"ref": "sanketsz/baseline-catboost-score-0-53", "kernel_id": "34623141"}, {"ref": "kieranyogaraj/tps-feb-2023-important-information-1", "kernel_id": "34732363"}, {"ref": "tracyporter/play-3-5-lr", "kernel_id": "34620497"}, {"ref": "tracyporter/play-3-5", "kernel_id": "34616573"}, {"ref": "pranjalrathore/wine-classification", "kernel_id": "34712005"}, {"ref": "hardikmirani/basic-solution-s3-e5", "kernel_id": "34713457"}, {"ref": "ashokkumargarain/notebook6540c99e58", "kernel_id": "34600548"}, {"ref": "fuad0857/playground-series-season-3-episode-5", "kernel_id": "34599033"}, {"ref": "yimingliang/s3e5-eda", "kernel_id": "34731519"}, {"ref": "natchimuthun/ps3e5-wine-quality-prediction", "kernel_id": "34720859"}, {"ref": "kaushalkrishna2000/playground-s03e05", "kernel_id": "34821938"}, {"ref": "asimple/eda-playground", "kernel_id": "34696234"}, {"ref": "mckayla/ps-s3-e5-wine-quality", "kernel_id": "34883226"}, {"ref": "shtrausslearning/mllibs-module", "kernel_id": "34256926"}, {"ref": "bonniehall/s3-e5-feature-selection", "kernel_id": "34926043"}, {"ref": "jacobsharples/s03e05-eda-with-seaborn-and-feature-engineering", "kernel_id": "34656969"}, {"ref": "mohammadahmar/ps-s03e05-eda-and-basic-baseline", "kernel_id": "34896002"}, {"ref": "kimmik123/ps-s3e5-data-engineering-modeling", "kernel_id": "34612464"}, {"ref": "liuxudong1986/pg-3-05-0-49509-xgb-resample-anomalydetect", "kernel_id": "34636653"}, {"ref": "hikmatullahmohammadi/wine-quality-tf-keras-dnn-eda-ps-s3-ep5", "kernel_id": "34608207"}, {"ref": "prutsaowaprut/s3e5-pytorch-nn-please-help", "kernel_id": "34809634"}, {"ref": "vlad15lav/s3e5-eda-for-all-columns", "kernel_id": "34605400"}, {"ref": "vlad15lav/s3e5-quick-start-with-lightgbm-optuna", "kernel_id": "34609847"}, {"ref": "vlad15lav/s3e5-ensemble-optuna", "kernel_id": "34612230"}, {"ref": "donjoeml/s3e5-first-impression", "kernel_id": "34626579"}, {"ref": "donjoeml/multivariate-optuna-lgbm-hyperband-smote-567", "kernel_id": "34729266"}, {"ref": "odins0n/playground-s-3-e-5-eda-modelling", "kernel_id": "34595484"}, {"ref": "benidictusgalihmp/playground-s3e5-regression-tabular-wine-quality", "kernel_id": "34634244"}, {"ref": "jimgruman/tidymodels-stack", "kernel_id": "34599908"}, {"ref": "edwardjiwookkim/pss3e5-simple-eda-code-for-beginners", "kernel_id": "34699706"}, {"ref": "casati8/kaggle-s3exp5-fastai", "kernel_id": "34745844"}, {"ref": "priyanagda/ps3-05-smote-ensemble", "kernel_id": "34615341"}, {"ref": "numanynklr/ps3e5-eda-base-model", "kernel_id": "34711115"}, {"ref": "gauravmalik26/ps-s03e05-catboost-baseline", "kernel_id": "34601490"}, {"ref": "gauravmalik26/ps-s03e05-xgboost-baseline", "kernel_id": "34601103"}, {"ref": "amoghgarg20/playground-s3e5", "kernel_id": "34648575"}, {"ref": "tetsutani/s3e5-xgb-lgb-cat", "kernel_id": "34908947"}, {"ref": "satoshiss/wine-quality-predictions-s3e5", "kernel_id": "34596636"}, {"ref": "kotrying/expanded-qwk", "kernel_id": "34894207"}, {"ref": "kotrying/ps-s3e5-using-polars", "kernel_id": "34605638"}, {"ref": "cipollinonewbie/prediction-decision-tree-and-random-forest", "kernel_id": "34837137"}, {"ref": "shuvojitdas/regression-classification-model", "kernel_id": "34877542"}, {"ref": "martynovandrey/ps-3-5-xgbclassifier-optuna", "kernel_id": "34617810"}, {"ref": "martynovandrey/ps-3-5-lgbmclassifier-optuna", "kernel_id": "34613682"}, {"ref": "martynovandrey/ps-3-5-keras-nn-model", "kernel_id": "34601364"}, {"ref": "martynovandrey/ps-3-5-fast-eda", "kernel_id": "34596991"}, {"ref": "ridamahmood005/wine-cellar-xgboostclassifier-optuna", "kernel_id": "34691828"}, {"ref": "barbagrande007/bbg007-s3e5", "kernel_id": "34600998"}, {"ref": "danilcherinov/ps-s03e05-eda-rf", "kernel_id": "34972047"}, {"ref": "satyaprakashshukl/different-eda-ps-e-5", "kernel_id": "34599327"}, {"ref": "satyaprakashshukl/ps-e5-prediction", "kernel_id": "34600207"}, {"ref": "satyaprakashshukl/eda-wine-quality", "kernel_id": "34711942"}, {"ref": "cemduru/feature-engineering-and-keras-deep-learning", "kernel_id": "34681588"}, {"ref": "rohanmudgalkar/playground-season3-e5", "kernel_id": "34853689"}, {"ref": "kuntalmaity/wine-quality-checking", "kernel_id": "34775807"}, {"ref": "sujaykapadnis/ps-s3e5-eda-easy-to-understand-modeling", "kernel_id": "34721264"}, {"ref": "sergeyyakovlev1312/playground-s3e5-logistic-regression", "kernel_id": "34791399"}, {"ref": "bradywagner/playground-series-season-3-episode-5-bw-dw", "kernel_id": "34982859"}, {"ref": "dongliangpeng/notebookfd4dbc9a70", "kernel_id": "34971341"}, {"ref": "amrelsayeh/pgs-s3e5-eda-logistic-regression", "kernel_id": "34596641"}, {"ref": "lusfernandotorres/playground-s03e05-wine-quality-prediction", "kernel_id": "34624257"}, {"ref": "lusfernandotorres/playground-s03e05-an-automl-approach", "kernel_id": "34723622"}, {"ref": "klyushnik/5-episode", "kernel_id": "34683054"}, {"ref": "ryanirl/ps-s03e05-eda-w-bokeh", "kernel_id": "34754345"}, {"ref": "ryanirl/ps-s03e05-pytorch-nn-modeling", "kernel_id": "34777422"}, {"ref": "meeratif/ps-eda-gradientboostingclassifier", "kernel_id": "34935866"}, {"ref": "hamdy17298/predict-and-tuning-5-models-for-better-score", "kernel_id": "34794023"}, {"ref": "ashtcoder/playground-series-s3-e5", "kernel_id": "34646894"}, {"ref": "sahilsg/wine-s03-e05-n1", "kernel_id": "34719685"}, {"ref": "maxencefzr/ps-s3e5-custom-based-ordinal-regressor", "kernel_id": "34624885"}, {"ref": "alessandrozanette/playground-s3e5-eda-pca-nn", "kernel_id": "34683534"}, {"ref": "burhanuddinlatsaheb/eda-4-0-different-model", "kernel_id": "34598535"}, {"ref": "xbulat/neural-network-for-wine-recognition", "kernel_id": "34753311"}, {"ref": "kattat/wine-quality-prediction-extra-trees-classifier", "kernel_id": "34839252"}, {"ref": "shiv7080/ps-3-5-xgb-with-cluster-pca", "kernel_id": "34609088"}, {"ref": "eliotlacroix/ps3e5-simple-classifier-w-fastai-tabularlearner", "kernel_id": "34684279"}, {"ref": "eliotlacroix/ps3e5-eda-baseline-lgbm-ensemble-model", "kernel_id": "34614616"}, {"ref": "abhi011097/s3-e5-eda-multi-approach-models-w-o-smote", "kernel_id": "34605828"}, {"ref": "atrijtalgery/pss3e5quantilediscr-n-adaboostednb", "kernel_id": "34971402"}, {"ref": "qiaoningchen/wine-quality-xgb-stratified-cross-validation", "kernel_id": "34847922"}, {"ref": "qiaoningchen/wine-quality-prediction-xgbboot-optimazation", "kernel_id": "34633138"}, {"ref": "qiaoningchen/wine-quality-prediction", "kernel_id": "34693306"}, {"ref": "tylergermain/wine-quality-prediction-support-vector-machines", "kernel_id": "34991791"}, {"ref": "chunweishen/ps-s03e05-ensembling", "kernel_id": "34597116"}, {"ref": "shaileshgoku/wine-quality-competition", "kernel_id": "34686409"}, {"ref": "rubanzasilva/fastai-for-ps-s03e05", "kernel_id": "34743646"}, {"ref": "shiraeharuto/dnn-regression", "kernel_id": "34818601"}, {"ref": "shilongzhuang/s3e5-complete-feature-engineering-guide", "kernel_id": "34700912"}, {"ref": "shilongzhuang/s3e5-training-with-data-from-uci", "kernel_id": "34597048"}, {"ref": "jaygun84/wine-quality-prediction-pyspark", "kernel_id": "34639325"}, {"ref": "snorfyang/ps-s03e05-catboost", "kernel_id": "34602587"}, {"ref": "lucasgbezerra/ps-s03-e05-parte-5", "kernel_id": "34656238"}, {"ref": "lucasgbezerra/ps-s03-e05-parte-5-2", "kernel_id": "34661478"}, {"ref": "lucasgbezerra/ps-s03-e05-parte-2", "kernel_id": "34648450"}, {"ref": "lucasgbezerra/ps-s03-e05-parte-1", "kernel_id": "34602052"}, {"ref": "koshrai/eda-naive-bayes", "kernel_id": "34732083"}, {"ref": "koshrai/wine-quality-eda", "kernel_id": "34702514"}, {"ref": "ashishkumarak/wine-quality-prediction-tensorflow", "kernel_id": "34605929"}, {"ref": "sapnajha0304/s3-ep-5", "kernel_id": "34602137"}, {"ref": "priyanshu594/simple-eda-and-modeling", "kernel_id": "34601693"}, {"ref": "mattop/pg-series-s3e6-adversarial-validation", "kernel_id": "34468834"}, {"ref": "mattop/playground-series-s3-e5-eda-pca", "kernel_id": "34596529"}, {"ref": "kagleo123/playground-s3e5-visualization-modeling", "kernel_id": "34714009"}, {"ref": "alexandershumilin/ps-s3-e5-ensemble-model", "kernel_id": "34601024"}, {"ref": "alexandershumilin/ps-s3-e5-keras-nn", "kernel_id": "34835257"}, {"ref": "muhammadwaseem786/learn-data-science-from-basic-to-pro-level", "kernel_id": "34713067"}, {"ref": "shoabahamed/playground-s-3-ep-5-eda-and-model-selection", "kernel_id": "34605940"}, {"ref": "tushirsahu/wine-prediction-hyperparameter-tuning", "kernel_id": "34860478"}, {"ref": "masayakawamata/stacking", "kernel_id": "34679707"}, {"ref": "masayakawamata/nn-lightgbm-randomforest", "kernel_id": "34699083"}, {"ref": "masayakawamata/select-feature-score-improved", "kernel_id": "34704756"}, {"ref": "masayakawamata/feature-ranking", "kernel_id": "34730166"}, {"ref": "masayakawamata/red-white-classif", "kernel_id": "34601089"}, {"ref": "masayakawamata/randomforest-t-sne", "kernel_id": "34596993"}, {"ref": "masayakawamata/factor-analyzer", "kernel_id": "34998022"}, {"ref": "francescoliveras/ps-s3-e5-eda-and-model-selection", "kernel_id": "34640883"}, {"ref": "jeyasrisenthil/wine-quality-analysis", "kernel_id": "34740855"}, {"ref": "kirillka95/s3e5-eda-models-test", "kernel_id": "34621245"}, {"ref": "christrandata/eda-lgbm-xgboost", "kernel_id": "34722801"}, {"ref": "abraamadamidis/ensemble-xgb-lgbm-cb", "kernel_id": "34644417"}, {"ref": "saidislombek/playground-series-s3-e5-lazypredict", "kernel_id": "34672869"}, {"ref": "soumendraprasad/playground-s-3-e-5-eda-9-model-baseline", "kernel_id": "34636610"}, {"ref": "rohan8771/playground-s3-e5-eda-smote-xgboost", "kernel_id": "34601081"}, {"ref": "bibhusundarmohapatra/notebookab07d96c16", "kernel_id": "34997869"}, {"ref": "vashalavenugopal75/wine-quality-using-spark", "kernel_id": "34639328"}, {"ref": "icfoer/playground-stacking-solution", "kernel_id": "34751931"}, {"ref": "utkarshgaikwad1994/plg-s3e5-utkarsh-gaikwad", "kernel_id": "34628201"}, {"ref": "dylanfazo/multimodelblending-playground-s3e5", "kernel_id": "34887303"}, {"ref": "poloarol/wine-quality-identifying-mislabeled-data", "kernel_id": "34785214"}, {"ref": "poloarol/wine-quality-prediction-eda-catboost", "kernel_id": "34732841"}, {"ref": "poloarol/wine-quality-prediction-catboost-cleanlab", "kernel_id": "34759530"}, {"ref": "ramkan07/ps3e5-wine-quality-models-59", "kernel_id": "34930751"}, {"ref": "kavishchaudhary1003/playground-s3-e5", "kernel_id": "34598386"}, {"ref": "kmskojim/eda-baseline-prediction", "kernel_id": "34634026"}, {"ref": "harinuu/wine-quality-prediction", "kernel_id": "34742663"}, {"ref": "rebeccapringle/playground-s3e5-competition", "kernel_id": "34865772"}, {"ref": "byronjehrke/logistic-regression-random-forest-svc-models", "kernel_id": "34655935"}, {"ref": "krviswanathan/wine-quality-eda-feature-engg-prediction", "kernel_id": "34703499"}, {"ref": "jakubwalczykowski/wine-classification-tf-pca", "kernel_id": "34711667"}, {"ref": "ryangreiner/s3e5-apply-imbalanced-method", "kernel_id": "34695977"}, {"ref": "kosimon/start-playground-s3e5", "kernel_id": "34804898"}, {"ref": "iamnotashutosh/playground-s3-e5", "kernel_id": "34691403"}, {"ref": "iamnotashutosh/ps-s3-e5-ann-kappa-loss", "kernel_id": "34995268"}, {"ref": "jano123/sr-with-inequalities-simple-model", "kernel_id": "34881452"}, {"ref": "jano123/ps-s03e05-symbolic-regression", "kernel_id": "34605439"}, {"ref": "jano123/polynomial-regression", "kernel_id": "34707605"}, {"ref": "boyochan/ps-s3-e5-use-lightgbm-optuna", "kernel_id": "34770499"}, {"ref": "moohamedelsayed/wine-quality-prediction-regression-models", "kernel_id": "34848830"}, {"ref": "adivireza/pg-s3e5-wine-quality-prediction", "kernel_id": "34670980"}, {"ref": "itzdevil/linear-regression", "kernel_id": "34839979"}, {"ref": "gokulprasantht/wine-quality", "kernel_id": "34816973"}, {"ref": "leehaeseung01/ps-e3-s5", "kernel_id": "34661445"}, {"ref": "ksqrt9/classification-wine-quality-with-kerasnn", "kernel_id": "34597231"}, {"ref": "inaciobr/ps-s03e05-viz-classifiers-regressors", "kernel_id": "34729985"}, {"ref": "grantgonnerman/ps-s3-e5-final-model-comparisons-cv-lb-scores", "kernel_id": "34627997"}, {"ref": "k0takahashi/ps-s3e5-2023-chart", "kernel_id": "34597086"}, {"ref": "mnokno/wine-quality-classification-using-ann", "kernel_id": "34773065"}, {"ref": "mnokno/wine-quality-classification-using-lgbm-eda", "kernel_id": "34800892"}, {"ref": "group16/mode-ensemble-3-private", "kernel_id": "35058189"}, {"ref": "slythe/pss3e09-6-ensembling-regression", "kernel_id": "35738687"}, {"ref": "slythe/feature-engineering-symbolic-transformation", "kernel_id": "35006402"}, {"ref": "slythe/4-single-model-tuning-regression", "kernel_id": "35129871"}, {"ref": "rapela/tpss3e5-1st-place-solution-rapids-xgboost", "kernel_id": "35311998"}, {"ref": "erwinhmtang/playground-s3e5", "kernel_id": "35848105"}, {"ref": "shuhei102/eda-t-sne-arcface", "kernel_id": "35309367"}, {"ref": "mcaputo/r-intermediate-session-winequality-dl-dataset", "kernel_id": "35043224"}, {"ref": "porrecasimone/s3e5-eda-model-xgb-with-cv-and-hyperopt", "kernel_id": "35033294"}, {"ref": "ashokkumargarain/playground-s-s-3-episode", "kernel_id": "35015973"}, {"ref": "jedchristensen/playground-season-3-episode-5-eda-lr", "kernel_id": "35036580"}, {"ref": "macklinshanahan/ep5-notebook", "kernel_id": "35015482"}, {"ref": "nhopet/pgss5e3-2nd-code-xgboost-optimezekappa-cv2", "kernel_id": "35103983"}, {"ref": "nhopet/pgss5e3-xgboost-try3-optimizekappa", "kernel_id": "35103768"}, {"ref": "nhopet/pgss3e5-xgboost-try2-weighted", "kernel_id": "35103294"}, {"ref": "nhopet/pgss3e5-xgboost", "kernel_id": "35102692"}, {"ref": "nhopet/pgss3e5-eda-heatmap-boxplot-outlierfilter", "kernel_id": "35101940"}, {"ref": "excelsior7/9th-place-solution-playground-series-sea-3-epi5", "kernel_id": "35194078"}, {"ref": "riyaelizashaju/wine-quality-random-forest", "kernel_id": "35028643"}, {"ref": "qiaoningchen/wine-quality-xgb-nestedcv", "kernel_id": "35066800"}, {"ref": "elsayovita/wine-quality-prediction-regression-approach", "kernel_id": "35036076"}, {"ref": "lizhecheng/s3e5-simplexgb-kfold-nn", "kernel_id": "35393609"}, {"ref": "dileepkasimalla/play-ground-season3-episode-5-wine-quality", "kernel_id": "35200997"}, {"ref": "matteosilla/wine-quality-super-simple-eda-ml", "kernel_id": "35062129"}, {"ref": "bvinning/s3e5-ordinal-classification-approach", "kernel_id": "35044192"}, {"ref": "harinarayanan22/wine-quality-prediction", "kernel_id": "35037761"}, {"ref": "yunapeng/s3e5-quality-prediction", "kernel_id": "35104563"}, {"ref": "moritzm00/xgboost-hyperparameter-tuning-with-ray-tune", "kernel_id": "35889400"}, {"ref": "uinamson/23-05-30-term-project-wine-quality-ui-nam-son", "kernel_id": "36825593"}, {"ref": "dharshanadhanendran/wine-prediction", "kernel_id": "37237485"}, {"ref": "paarthaviharia/notebookf47f5b6703", "kernel_id": "37376337"}, {"ref": "melinasingh/ordinal-regression-wine-quality-tabular-data", "kernel_id": "38538382"}, {"ref": "tunahantas/wine-quality", "kernel_id": "38262865"}, {"ref": "lrihong/notebook2437dfe9f3", "kernel_id": "38575630"}, {"ref": "amingraja12/ensemble-model-with-optimizedrounder", "kernel_id": "39492321"}, {"ref": "georgitedya/wineq", "kernel_id": "39046094"}, {"ref": "meidongpeng/decidetree-sklearn", "kernel_id": "39062541"}, {"ref": "meidongpeng/random-forest", "kernel_id": "39062910"}, {"ref": "meidongpeng/sklearnxgboosting", "kernel_id": "39096451"}, {"ref": "meidongpeng/random-forest-girdsearchcv", "kernel_id": "39096023"}, {"ref": "meidongpeng/sklearngaussiannb-randomforest", "kernel_id": "39097707"}, {"ref": "meidongpeng/svm-and", "kernel_id": "39098128"}, {"ref": "meidongpeng/sklearngaussiannb", "kernel_id": "39097492"}, {"ref": "akioonodera/for-practice-multiclass", "kernel_id": "40647092"}, {"ref": "lusfernandotorres/wine-quality-eda-prediction-and-deploy", "kernel_id": "40975360"}, {"ref": "shivamsingh17072001/notebook5bd10f172a", "kernel_id": "40024685"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "hamazraqeebteam/hamaz-raqeeb-team", "kernel_id": "40083594"}, {"ref": "faelk8/ps-3-5", "kernel_id": "41189312"}, {"ref": "akkunn/notebookd20230731", "kernel_id": "41524052"}, {"ref": "wataruanji/wine-quality", "kernel_id": "41593397"}, {"ref": "yasu2ke/notebook7a83aecf09", "kernel_id": "41501348"}, {"ref": "watanabe0893/notebook0b0c9ef313", "kernel_id": "41487217"}, {"ref": "ouhakugen/notebookc1b7ea96bd", "kernel_id": "41524408"}, {"ref": "atharvborse/wine-quality-eda-feature-engg-prediction", "kernel_id": "42160594"}, {"ref": "ayushmaria/wine-quality", "kernel_id": "42854673"}, {"ref": "ayushmaria/wine-quality-prediction", "kernel_id": "42853973"}, {"ref": "nurayoryngaliyeva/notebook8db2a40dd5", "kernel_id": "43395763"}, {"ref": "laught3/wine-quality-eda", "kernel_id": "45213943"}, {"ref": "ebertolo/workshop-aula01-regress-o-linear", "kernel_id": "46212933"}, {"ref": "vinitkp/cleanlab-catboost-wine-quality-prediction", "kernel_id": "46605362"}, {"ref": "kevin1hsu/wine-catboost-pipeline-k-means", "kernel_id": "49818432"}, {"ref": "mahendra301/wine-quality-prediction", "kernel_id": "50945575"}, {"ref": "yatharthgautam123789/ordinal-regression-with-a-tabular-wine-quality-dat", "kernel_id": "50734382"}, {"ref": "udaysharma007/tabular-wine-quality", "kernel_id": "50729198"}, {"ref": "ujjvalvashisht/ordinal-regression-with-a-tabular-wine-qualitydata", "kernel_id": "51076418"}, {"ref": "adhyanbaluja/wine-quality", "kernel_id": "51269983"}, {"ref": "slythe/credit-card-fraud-detection", "kernel_id": "52640153"}, {"ref": "akshaykhanna05/tabular-wine-akshay", "kernel_id": "54266961"}, {"ref": "mikototakigawa/the-first-step-with-lightgbm", "kernel_id": "54838470"}, {"ref": "vanshikam28/ordinal-regression-with-a-tabular-wine-quality", "kernel_id": "54202621"}, {"ref": "samakshahuja605/ordinal-regression-with-a-tabular-wine-quality", "kernel_id": "54224553"}, {"ref": "taichiuemura/ps3e5", "kernel_id": "57900422"}, {"ref": "denisilyashenko/lgbmregressor-spbu", "kernel_id": "58417890"}, {"ref": "seansullivan99/wine-quality-using-xgboost", "kernel_id": "61470025"}, {"ref": "peeweesuper/wine-quality-wallinson", "kernel_id": "70348998"}, {"ref": "adrianasalcedo/wine-quality-xgb-rf", "kernel_id": "71905151"}, {"ref": "bahijabenmohamed1998/ordinal-regression", "kernel_id": "76905910"}, {"ref": "penbenur/ordinal-regression-with-a-tabular-wine-quality-dat", "kernel_id": "80128591"}, {"ref": "gizemnalbantarslan/tabular-wine-quality", "kernel_id": "83732791"}, {"ref": "anishreddy1/wine-quality-prediction", "kernel_id": "85530595"}, {"ref": "oguztoy/winequality", "kernel_id": "85753554"}, {"ref": "jalesummak/wine-quality-prediction", "kernel_id": "111661686"}, {"ref": "basaktamer/ordinal-regression-with-a-tabular-wine-quality", "kernel_id": "119360433"}]}
{"competition_id": "45891", "kernels": [{"ref": "phongnguyen1/a-framework-for-tabular-regression-e9-8-6", "kernel_id": "34829999"}, {"ref": "mahimchrl/initial-data-exploration", "kernel_id": "34980550"}, {"ref": "pardeep19singh/pss3e6-eda-using-competition-and-original-data", "kernel_id": "34959577"}, {"ref": "pardeep19singh/pss3e6-insightful-eda-and-outliers-handling", "kernel_id": "34905154"}, {"ref": "cv13j0/gbdt-using-xgboost", "kernel_id": "34956509"}, {"ref": "arosielle/playground-s306", "kernel_id": "34977283"}, {"ref": "maheswarareddyp/pgs3e6-mahesh-parishouseprediction-1", "kernel_id": "34959744"}, {"ref": "docxian/ps-s3-e6-house-price-regression", "kernel_id": "34826084"}, {"ref": "ch124uec/playground-s3e6-plotly-eda-and-model-ensembling", "kernel_id": "34840130"}, {"ref": "kimtaehun/simple-baseline-with-brief-eda-lgbm", "kernel_id": "34819433"}, {"ref": "craigmthomas/play-s3e6-eda-models", "kernel_id": "34880686"}, {"ref": "vindymessi/s3e6-additional-features-for-xgb", "kernel_id": "34913171"}, {"ref": "stpeteishii/pss3-ep6-visualize-importance", "kernel_id": "34860591"}, {"ref": "stpeteishii/pss3-ep6-lgbm-with-optuna", "kernel_id": "34860598"}, {"ref": "mmellinger66/ps3e6-paris-housing-models", "kernel_id": "34923042"}, {"ref": "validmodel/s03e05-eda-featureengg-tuning-model", "kernel_id": "34860393"}, {"ref": "mpwolke/how-i-found-mon-pied-terre-ep-6", "kernel_id": "34875032"}, {"ref": "lavagod/pc-s03s06-minimum-code-183826-92964", "kernel_id": "34834437"}, {"ref": "amarloni/pgs3e6", "kernel_id": "34943752"}, {"ref": "sytuannguyen/playground-series-s3e6-eda", "kernel_id": "34820521"}, {"ref": "kdmitrie/pgs36-eda-test-of-models-blending", "kernel_id": "34828918"}, {"ref": "kdmitrie/pgs36-the-idea-of-3-realty-types", "kernel_id": "34899960"}, {"ref": "atharvaingle/s3e06-eda-cross-validation-setup-w-w-b", "kernel_id": "34824457"}, {"ref": "massimot/pgs-s3-e6-back-to-1st-try", "kernel_id": "34941024"}, {"ref": "tylerchi/playground-season-3-episode-6-house-pred", "kernel_id": "34888678"}, {"ref": "yarribryn/playground-series-s3e6-paris-housing-prices", "kernel_id": "34856677"}, {"ref": "mohib94/playground-series-s3e6", "kernel_id": "34872931"}, {"ref": "shivijaiswal/playground-6", "kernel_id": "34916180"}, {"ref": "tracyporter/play-3-6-paris-xgb", "kernel_id": "34835657"}, {"ref": "tracyporter/play-3-6-paris-lin-reg", "kernel_id": "34828972"}, {"ref": "lyasdemir/solution-approach-with-lightgbm-algorithm-628ea5", "kernel_id": "34918818"}, {"ref": "lyasdemir/best-algorithm-for-prediction-xgboost", "kernel_id": "34911853"}, {"ref": "fuad0857/playground-s3-e6-with-tensorflow", "kernel_id": "34858415"}, {"ref": "kaushalkrishna2000/playground-s03e06-notebook", "kernel_id": "34929474"}, {"ref": "kaushalkrishna2000/automl-playground-s03e06-notebook", "kernel_id": "34960658"}, {"ref": "chensilin/eda-rf-lightbgm-xgboost-optuna", "kernel_id": "34865904"}, {"ref": "shtrausslearning/mllibs-module", "kernel_id": "34256926"}, {"ref": "manthanx/ps3e6-xgboost-feature-selection-ensemble", "kernel_id": "34893758"}, {"ref": "santosh1974/s3-e6-eda-with-detailed-explaination", "kernel_id": "34972514"}, {"ref": "olliekemp/paris-house-prices", "kernel_id": "34834674"}, {"ref": "khawajaabaidullah/ps3e6-hunting-hidden-outliers-using-common-sense", "kernel_id": "34827343"}, {"ref": "khawajaabaidullah/ps3e6-ensembling-xgboost-catboost-lightgbm", "kernel_id": "34824885"}, {"ref": "khawajaabaidullah/ps3e6-setting-upper-bounds-may-help", "kernel_id": "34974442"}, {"ref": "tetsutani/playgrounds3e6-lightgbm-randomforest-stacking", "kernel_id": "34929712"}, {"ref": "satoshiss/paris-housing-price-predictions-s3e6", "kernel_id": "34856414"}, {"ref": "wasshoiwasshoi/pss3e6-eda-and-lightgbm-baseline", "kernel_id": "34856828"}, {"ref": "ahana09/ps-s3e6", "kernel_id": "34859792"}, {"ref": "cipollinonewbie/linear-regression-of-house-prices-in-paris", "kernel_id": "34992716"}, {"ref": "ambrosm/pss3e6-quickstart-without-machine-learning", "kernel_id": "34872538"}, {"ref": "ambrosm/pss3e6-minimalist-notebook", "kernel_id": "34929767"}, {"ref": "barbagrande007/bbg007-s3e6", "kernel_id": "34931311"}, {"ref": "azazali/playground-series-episode-6-ensemble-learning", "kernel_id": "34860618"}, {"ref": "satyaprakashshukl/pycaret-and-eda", "kernel_id": "34844888"}, {"ref": "satyaprakashshukl/playground-season3-episode-6", "kernel_id": "34985929"}, {"ref": "vicsuperman/ps3e6-baseline-automl", "kernel_id": "34893585"}, {"ref": "ravi20076/playgrounds3e6-extensiveeda-baseline", "kernel_id": "34866631"}, {"ref": "matthieuqcc/pg-series-s3-e6-paris-housing-price-regression", "kernel_id": "34949093"}, {"ref": "sujaykapadnis/s3e6-thorough-eda-baseline-tunedmodel", "kernel_id": "34879197"}, {"ref": "amrelsayeh/pgs-s3e6-house-prediction1-xgboost", "kernel_id": "34904605"}, {"ref": "anurag629/episode-6-choose-best-model", "kernel_id": "34995716"}, {"ref": "klyushnik/episode-6", "kernel_id": "34902509"}, {"ref": "yogesh239/automated-eda-in-3-lines-of-code", "kernel_id": "34829004"}, {"ref": "coyleliam/pandas-profiling-deepchecks-and-simple-model", "kernel_id": "34885966"}, {"ref": "abhi011097/ps-s3-e6-complete-eda-model-evaluation", "kernel_id": "34830024"}, {"ref": "qiaoningchen/house-price-prediction", "kernel_id": "34981858"}, {"ref": "qiaoningchen/house-price-feature-engineering-randomforest", "kernel_id": "34996961"}, {"ref": "samra22/parishousingpriceprediction", "kernel_id": "34819332"}, {"ref": "zakariajoudar/chatgpt-chatbot", "kernel_id": "34995960"}, {"ref": "sapnajha0304/s3-ep-6", "kernel_id": "34929914"}, {"ref": "mattop/pg-series-s3e6-adversarial-validation", "kernel_id": "34468834"}, {"ref": "mattop/playground-series-s3-e6-eda", "kernel_id": "34817879"}, {"ref": "mingyuwang1/playground-season3-episode-6", "kernel_id": "34995586"}, {"ref": "francescoliveras/playground-series-s3-e6-eda-modeling-en-es", "kernel_id": "34933147"}, {"ref": "utkarshgaikwad1994/ps3e6-utkarsh-drop-outliers", "kernel_id": "34887351"}, {"ref": "utkarshgaikwad1994/playground-s3e6-utkarsh-gaikwad", "kernel_id": "34830788"}, {"ref": "yeemeitsang/paris-housing-sklearn", "kernel_id": "34973298"}, {"ref": "yeemeitsang/paris-housing-keras", "kernel_id": "34986228"}, {"ref": "yeemeitsang/paris-housing-pytorch", "kernel_id": "34991863"}, {"ref": "gopimali/eda-pycaret-bayesian", "kernel_id": "34915509"}, {"ref": "jano123/no-regression", "kernel_id": "34992891"}, {"ref": "ricardorios/exploratory-data-analysis-i", "kernel_id": "35050662"}, {"ref": "ricardorios/exploratory-data-analysis-ii", "kernel_id": "35214027"}, {"ref": "vaidyaprasad84/p3-e6-piecewise-model", "kernel_id": "35182037"}, {"ref": "datascientistsohail/catboostregressor-se03ep06", "kernel_id": "35251617"}, {"ref": "datascientistsohail/optuna-with-xgbregressor", "kernel_id": "35112356"}, {"ref": "datascientistsohail/observing-outliers-building-model-rfr", "kernel_id": "35094617"}, {"ref": "mscgeorges/adversarial-validation-proper-validation-set", "kernel_id": "35091375"}, {"ref": "mscgeorges/pss36-compact-solution-multi-stratifiedkfold", "kernel_id": "35115233"}, {"ref": "slythe/1-eda-model-selection-pse3e6-regression", "kernel_id": "35053235"}, {"ref": "slythe/4-single-model-tuning-regression", "kernel_id": "35129871"}, {"ref": "jonbown/cluster-feature-engineering-tps3e6", "kernel_id": "35113995"}, {"ref": "omarvivas/lgbm-tpgs-s3e6-v1", "kernel_id": "35073011"}, {"ref": "omarvivas/cb-tpgs-s3e6-v1", "kernel_id": "35074082"}, {"ref": "omarvivas/xgb-tpgs-s3e6-v1", "kernel_id": "35074191"}, {"ref": "ted0071/ps3e6-eda-models", "kernel_id": "35005822"}, {"ref": "mukaseevru/ps-s3e6-lama-lightautoml", "kernel_id": "35142872"}, {"ref": "mtulgac/baseline-model-with-gradientboosting-and-rf", "kernel_id": "35099220"}, {"ref": "ahsanulislam/house-price-predict-with-tensorflow", "kernel_id": "35067912"}, {"ref": "ahsanulislam/house-price-predict-with-xgb", "kernel_id": "35132124"}, {"ref": "hiroshikurokawa/automl-gbr-catb-xgb-ensembled", "kernel_id": "35080439"}, {"ref": "hiroshikurokawa/p3e6-lgb-catb-xgb-ensemble", "kernel_id": "35138065"}, {"ref": "mirabirhossain/playground-s3-e6", "kernel_id": "35128608"}, {"ref": "matejper/predicting-paris-housing-prices", "kernel_id": "35010609"}, {"ref": "kimmik123/starter-notebook-ensemble-feature-eng", "kernel_id": "35027130"}, {"ref": "iqbalpahlevi/lesgo-finpro-educare", "kernel_id": "35402733"}, {"ref": "samuraikaggle/ens-cb-xb-lb", "kernel_id": "35061254"}, {"ref": "sonukumar2k19it124/simple-code", "kernel_id": "35249096"}, {"ref": "donjoeml/xgbregressor-optuna", "kernel_id": "35185698"}, {"ref": "bayesianterrapin/s3e6-simple-baseline-score-using-xgboost", "kernel_id": "35169306"}, {"ref": "satyaprakashshukl/e-season6", "kernel_id": "35036340"}, {"ref": "nmnminhnhat/eda-pycaret-bayesian", "kernel_id": "35125558"}, {"ref": "hwikookchoe/pgs-s3e6-generalized-ensemble-model-gem", "kernel_id": "35039238"}, {"ref": "agunbiadeopeyemi/notebookc6cd88d030", "kernel_id": "35039615"}, {"ref": "umanglodaya/playground-series-s3e6-xgboost", "kernel_id": "35197982"}, {"ref": "nhopet/pss3e6-datavisualization-and-outliearstreatment", "kernel_id": "35199944"}, {"ref": "sergeyyakovlev1312/playground-s3e6", "kernel_id": "35039954"}, {"ref": "jpkochar/paris-housing-price", "kernel_id": "35268685"}, {"ref": "lusfernandotorres/pss3e6-dealing-with-noisy-data", "kernel_id": "35415335"}, {"ref": "chongjiaxu/paris", "kernel_id": "35267600"}, {"ref": "meeratif/play-s3e6-eda-model", "kernel_id": "35269516"}, {"ref": "ashtcoder/pg-s3-e6", "kernel_id": "35062603"}, {"ref": "autumnawrange/unsupervised-tabnet", "kernel_id": "35193802"}, {"ref": "sarvesh42kesharwani/playground-series-season-3-episode-6", "kernel_id": "35016966"}, {"ref": "abhishek123maurya/ps-s2e6", "kernel_id": "35223618"}, {"ref": "ayushs9020/pg-s3-e6-randomforestregressor-99-81", "kernel_id": "35193907"}, {"ref": "rubanzasilva/fastai-solution-for-ps-s03e06", "kernel_id": "35139288"}, {"ref": "radhwanadem/exploring-paris-housing-prices-an-eda-and-model-b", "kernel_id": "35097432"}, {"ref": "teradiot/simple-xgboost-baseline-optuna", "kernel_id": "35098248"}, {"ref": "vivek153/with-randomforestregressor", "kernel_id": "35071127"}, {"ref": "umitemreilhan/housing-price", "kernel_id": "35150148"}, {"ref": "elsayovita/paris-housing-prediction-with-random-forest", "kernel_id": "35279702"}, {"ref": "rupeshmahanty/playground-series-season-3-episode-6", "kernel_id": "35248720"}, {"ref": "lizhecheng/s3e6-paris-house-prediction", "kernel_id": "35407649"}, {"ref": "viktortaran/ps-s-3-e-6", "kernel_id": "35099419"}, {"ref": "manaidu/playground-series-s3e6", "kernel_id": "35006350"}, {"ref": "polaninethajiram/house-price-regression", "kernel_id": "35526911"}, {"ref": "dileepkasimalla/playground-season3-episode-6-house-prediction", "kernel_id": "35469696"}, {"ref": "francescoliveras/ps-s3-e6-personal-best-score-eda-en-es", "kernel_id": "35225330"}, {"ref": "brendanmoore14/9th-place-solution", "kernel_id": "35275369"}, {"ref": "fadhilmuh/paris-housing-regression-analysis", "kernel_id": "35324400"}, {"ref": "icfoer/ps3e6-validation-scheme", "kernel_id": "35003434"}, {"ref": "gopimali/handling-missing-value-imputation-tech-beginner", "kernel_id": "35648111"}, {"ref": "matteosilla/s3e6-eda-ml", "kernel_id": "35129779"}, {"ref": "muhammadumairab/eda-prediction", "kernel_id": "35104213"}, {"ref": "bvinning/s3e6-a-linear-approach", "kernel_id": "35275224"}, {"ref": "nikoolaylovyagin/playground-series", "kernel_id": "35495236"}, {"ref": "iamnotashutosh/pg-s3-e6-eda-basic-model", "kernel_id": "35248075"}, {"ref": "dmtamm/playg-s3-e6-russian", "kernel_id": "35006291"}, {"ref": "iamvaibhav100/pg-s6e3-xgboost", "kernel_id": "35224699"}, {"ref": "ritvik24/notebookcb53f0abd8", "kernel_id": "35038971"}, {"ref": "mnokno/paris-housing-price-prediction-using-xgboost", "kernel_id": "35035800"}, {"ref": "yadusarath/baseline-random-forest-regression", "kernel_id": "35044586"}, {"ref": "datascientistsh/eda-and-statistical-models-regression", "kernel_id": "35272157"}, {"ref": "datascientistsh/feature-selection-ensemble-model", "kernel_id": "35358209"}, {"ref": "rsesha/pandas-dq-quick-submission", "kernel_id": "36817195"}, {"ref": "kristinapoberezhna/linear-regression-with-pipelines", "kernel_id": "36540873"}, {"ref": "katenn/notebook2cc944a134", "kernel_id": "37335593"}, {"ref": "jinronghuan/playgroundseries-s3e6", "kernel_id": "37988987"}, {"ref": "dmitrykhomyakov/notebooke9b5e6b871", "kernel_id": "37538692"}, {"ref": "juliapshen1608/notebook7f7b27ad69", "kernel_id": "37833591"}, {"ref": "juliapshen1608/fork-of-notebook7f7b27ad69", "kernel_id": "37950547"}, {"ref": "cleancodebrn/notebook1a2901627b", "kernel_id": "37951072"}, {"ref": "anjilasubedi/linear-model-decision-tree", "kernel_id": "38582206"}, {"ref": "aagamanbhattarai/regression", "kernel_id": "38625797"}, {"ref": "niteshrajbanshi/regression-with-a-tabular-paris-housing-price-data", "kernel_id": "38610523"}, {"ref": "dmitriiiakovtsev/sad-03-iakovtsev", "kernel_id": "38589202"}, {"ref": "napsnu/regression-with-a-tabular-paris-housing-price-data", "kernel_id": "38773752"}, {"ref": "muhammadasif121/paris-housing-price-assignment", "kernel_id": "39960654"}, {"ref": "muhammadfahadalikhan/code-1002", "kernel_id": "39278088"}, {"ref": "xokent/regression-with-a-tabular-paris-housing-price-data", "kernel_id": "40603304"}, {"ref": "venkyz9/paris-assignment", "kernel_id": "40099120"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "us1ama/usamajunaid-v3", "kernel_id": "40356746"}, {"ref": "bibierumbatool/erum-notebook", "kernel_id": "40393335"}, {"ref": "faelk8/ps-3-6-best-features", "kernel_id": "41227882"}, {"ref": "nasruddinaz/parisprice-paris-housing-price-prediction", "kernel_id": "41042575"}, {"ref": "oyebamijimicheal/advanced-regression-eda-feature-engineering", "kernel_id": "41982741"}, {"ref": "akashkadia/regression-with-a-tabular-paris-housing-price-data", "kernel_id": "41709458"}, {"ref": "muthumeenakshi11/notebook1639a5a159", "kernel_id": "41993397"}, {"ref": "sitanshuanmol/house-price-multiple-models", "kernel_id": "42468482"}, {"ref": "snehalmourya/snehal-ipba16-predicting-house-prices", "kernel_id": "43910838"}, {"ref": "namanntc/notebook9fc19e08a3", "kernel_id": "45231645"}, {"ref": "smwares/paris-housing-xgb-regression", "kernel_id": "46103476"}, {"ref": "hakanrek/regression-with-paris-housing-price-data", "kernel_id": "47340996"}, {"ref": "henosabiy/notebook5d63b13a70", "kernel_id": "49769638"}, {"ref": "sarazeus7/playground-series-xgboost", "kernel_id": "49178782"}, {"ref": "ojaswanib/notebook13a21f5106", "kernel_id": "50952069"}, {"ref": "piyush1234ggfuvi/regression-with-a-tabular-paris-housing-price-data", "kernel_id": "50784739"}, {"ref": "saranshthegoat/smj-s-regression-with-paris-housing-price-data", "kernel_id": "50767982"}, {"ref": "puneetgupta24/paris-house-prediction-using-regression", "kernel_id": "53288418"}, {"ref": "yatinkundra666/regression-house-price-paris", "kernel_id": "53009483"}, {"ref": "xopcxopcob/notebookf4f876d410", "kernel_id": "73434365"}, {"ref": "sobitsiddikov/priceparis", "kernel_id": "80362009"}, {"ref": "zhuldyzayb/paris-housing-prices-lr", "kernel_id": "81828735"}, {"ref": "eustacemoran/paris-housing-price", "kernel_id": "86355691"}, {"ref": "samiaaa7/solution-using-xgbregressor", "kernel_id": "125321417"}]}
{"competition_id": "45892", "kernels": [{"ref": "nikitagrec/eda-feature-engineering-extraforest-auc-0-89", "kernel_id": "34619505"}, {"ref": "nikitagrec/preprocessing-experiments-encoder-scaler-for-rf", "kernel_id": "34866534"}, {"ref": "pardeep19singh/pss3e7-insightful-eda-baseline-using-pycaret", "kernel_id": "35052939"}, {"ref": "cv13j0/auto-ml-model-using-pycaret", "kernel_id": "35184159"}, {"ref": "rogeriodelfim/tps-2023-s3-e7-01-eda-lbgm-xbg-cboost-0-90027", "kernel_id": "35415330"}, {"ref": "davidhguerrero/230219-pss3-e7-reservation-cancellation-dataset", "kernel_id": "35231619"}, {"ref": "maheswarareddyp/pgs3e7-reservationcancellationclassificati-mahesh", "kernel_id": "35500288"}, {"ref": "datascientistsohail/optuna-lgbmclassifier-se03-ep07", "kernel_id": "35299817"}, {"ref": "ch124uec/plotly-eda-feature-engineering-xgb-tuning", "kernel_id": "35117364"}, {"ref": "jonbown/pyspark-ml-pipeline-s3e7", "kernel_id": "35514454"}, {"ref": "nikitagrec/deep-fe-logistic-regression-auc-87", "kernel_id": "35328192"}, {"ref": "nikitagrec/top-8-score-rf-rank-prediction-0-894", "kernel_id": "35257748"}, {"ref": "nikitagrec/logistic-regression-shap-values", "kernel_id": "35236860"}, {"ref": "nikitagrec/linear-regression-shap-values", "kernel_id": "35224346"}, {"ref": "oscarm524/ps-s3-ep7-eda-modeling", "kernel_id": "35047218"}, {"ref": "kimtaehun/simple-eda-with-lgmb-baseline", "kernel_id": "35048420"}, {"ref": "craigmthomas/play-s3e7-eda-models", "kernel_id": "35051259"}, {"ref": "jaredsavage/ps-s3e07-testing-multiple-models-with-tidymodels", "kernel_id": "35140361"}, {"ref": "tylerjthomas9/ps-s3-e7-ensemble-model-polars", "kernel_id": "35077892"}, {"ref": "omarvivas/cb-tpgs-s3e7-v1", "kernel_id": "35047480"}, {"ref": "omarvivas/lgbm-tpgs-s3e7-v1", "kernel_id": "35047547"}, {"ref": "omarvivas/xgb-tpgs-s3e7-v1", "kernel_id": "35047584"}, {"ref": "omarvivas/torch-tpgs-s3e7-v1", "kernel_id": "35047629"}, {"ref": "omarvivas/keras-tpgs-s3e7-v1", "kernel_id": "35047700"}, {"ref": "manavd22/boosting-ensemble-bayesian-tuning-eda", "kernel_id": "35335405"}, {"ref": "stpeteishii/pss3-ep7-visualize-importance", "kernel_id": "35098833"}, {"ref": "stpeteishii/pss3-ep7-lgbm-with-optuna", "kernel_id": "35099192"}, {"ref": "ted0071/ps3e7-eda-models", "kernel_id": "35308325"}, {"ref": "mmellinger66/s3e7-reservation-cancellation-models", "kernel_id": "35069462"}, {"ref": "mpwolke/interpretability-black-box-reservations", "kernel_id": "35078571"}, {"ref": "jcaliz/ps-s03e07-a-complete-eda", "kernel_id": "35046975"}, {"ref": "taruchit/reservation-cancelation-analysis-and-prediction", "kernel_id": "35228366"}, {"ref": "gamerlacika/booking-status-prediktel", "kernel_id": "35305745"}, {"ref": "zuberrr/5-mins-to-90-auc-eda-xgb-optuna", "kernel_id": "35837691"}, {"ref": "aonzahaha/ps-ss3-ep7-keras-randomsearchcv-crossvalidation", "kernel_id": "35277029"}, {"ref": "gabrielott/xgb-feature-engineering-hyperparameter-tuning", "kernel_id": "35183369"}, {"ref": "gabrielott/baseline-keras-nn", "kernel_id": "35072923"}, {"ref": "mukaseevru/ps-s3e7-lama-lightautoml", "kernel_id": "35150089"}, {"ref": "amarloni/pgs3e7", "kernel_id": "35092644"}, {"ref": "abdoulayebalde/pse7-eda-catboost-baseline-with-score-of-0-9", "kernel_id": "35335312"}, {"ref": "charunumesh/playground-series-s3e7", "kernel_id": "35219930"}, {"ref": "akioonodera/ps-3-07-lgbm-bin", "kernel_id": "35082775"}, {"ref": "sanjaylalwani/playground", "kernel_id": "35224959"}, {"ref": "nancysamuel/pss-3-ep-7-basic-xgb", "kernel_id": "35052424"}, {"ref": "nancysamuel/pss-3-ep-8", "kernel_id": "35253450"}, {"ref": "nancysamuel/pss-3-ep-9-basic-model", "kernel_id": "35493463"}, {"ref": "altafk/playground-serires-eda-with-paycaret", "kernel_id": "35097695"}, {"ref": "nischaydnk/h2o-automl-playground-s3e7", "kernel_id": "35070570"}, {"ref": "shyamgupta196/feature-selection-xgb-baseline-ps-e7", "kernel_id": "35064886"}, {"ref": "ahsanulislam/ps-s3-e7-xgb-classifier", "kernel_id": "35203925"}, {"ref": "yarribryn/playground-s3e7", "kernel_id": "35083592"}, {"ref": "khaledgamal1/ep7-baseline", "kernel_id": "35223367"}, {"ref": "shivijaiswal/playgroun7", "kernel_id": "35199150"}, {"ref": "hiroshikurokawa/p3s7-lgb-catb-xgb-ensemble", "kernel_id": "35274613"}, {"ref": "tracyporter/play-3-7", "kernel_id": "35058231"}, {"ref": "tracyporter/play-3-7-xgb", "kernel_id": "35068885"}, {"ref": "tracyporter/play-3-7-lgbm", "kernel_id": "35069193"}, {"ref": "griffenthoma/simple-gradient-boosted-trees-model", "kernel_id": "35114620"}, {"ref": "fuad0857/playground-s3-e7-with-tensorflow", "kernel_id": "35059178"}, {"ref": "atogni85/pss3e7-cyclic-fe-lazypredict-ensemble", "kernel_id": "35113754"}, {"ref": "arnaumarsal/my-first-ml-model", "kernel_id": "35269940"}, {"ref": "dillanwilliams/playground-s3-7", "kernel_id": "35119564"}, {"ref": "mckayla/ps-s3-e7-eda", "kernel_id": "35069677"}, {"ref": "bonniehall/ps-s3-e7-eda-baseline-models", "kernel_id": "35050032"}, {"ref": "ryanbarretto/4th-place-solution", "kernel_id": "35517715"}, {"ref": "sergiosaharovskiy/ps-s3e7-2023-eda-and-submission", "kernel_id": "35053722"}, {"ref": "matejper/classification-reservation-cancellation", "kernel_id": "35310137"}, {"ref": "kimmik123/starter-notebook-ps-s3e7", "kernel_id": "35318568"}, {"ref": "samuraikaggle/samurai-automl-pycaret-s3e7-class", "kernel_id": "35446439"}, {"ref": "samuraikaggle/simple-samurai-automl-pycaret-ensemble-s3e7-reg", "kernel_id": "35446002"}, {"ref": "samuraikaggle/samurai-s3e7ens-cb-xb-lb", "kernel_id": "35258917"}, {"ref": "manthanx/ps3e7-indepth-eda-xgboost-optuna", "kernel_id": "35109445"}, {"ref": "pohzixiang/zx-playground-series-s3e7", "kernel_id": "35098215"}, {"ref": "rkoirala129/xgboost-classification-baseline", "kernel_id": "35051460"}, {"ref": "haruomiyoshikawa/s3e7-tabtransformer-with-kfold", "kernel_id": "35189115"}, {"ref": "hikmatullahmohammadi/reservation-cancellation-simple-dnn-tf-keras", "kernel_id": "35058294"}, {"ref": "eslamfouad/hotel-reservations-dataset-customers-statistics", "kernel_id": "35913453"}, {"ref": "macklinshanahan/notebook-ep7", "kernel_id": "35189452"}, {"ref": "santosh1974/s3-e7-eda-draft", "kernel_id": "35137831"}, {"ref": "jimgruman/tidymodels-ensemble", "kernel_id": "35051796"}, {"ref": "khawajaabaidullah/ps3e7-simple-but-strong-ensemble", "kernel_id": "35056676"}, {"ref": "jth3000/eda-and-basic-models-no-tuning-or-data-leak", "kernel_id": "35230891"}, {"ref": "ayushsengar999/notebook2397419e85", "kernel_id": "35288539"}, {"ref": "tetsutani/ps3e13-tabnet-baseline-compare-xgb-lgbm-cat", "kernel_id": "35103683"}, {"ref": "tetsutani/ps3e12-self-supervised-tabnet-using-optuna-0-896", "kernel_id": "35279451"}, {"ref": "satoshiss/cancellation-prediction-s3e7", "kernel_id": "35075748"}, {"ref": "martynovandrey/ps-3-7-dnn-topologies-comparision", "kernel_id": "35117592"}, {"ref": "martynovandrey/ps-3-7-eda-cv-weights-optimizer-15th-place", "kernel_id": "35049577"}, {"ref": "martynovandrey/ps-3-7-autokeras", "kernel_id": "35047984"}, {"ref": "pradeepchandrasuyal/s3-e7-stacking-with-xgboost", "kernel_id": "35103179"}, {"ref": "pradeepchandrasuyal/s3-e7-xgboost-original-data", "kernel_id": "35202671"}, {"ref": "ambrosm/pss3e7-eda-which-makes-sense", "kernel_id": "35047470"}, {"ref": "barbagrande007/bbg007-s3e7", "kernel_id": "35437811"}, {"ref": "azazali/playground-series-s3e7-automl", "kernel_id": "35063471"}, {"ref": "wittlindquist/umn-qc-ps-s3e7-wyatt", "kernel_id": "35123148"}, {"ref": "satyaprakashshukl/xgboost-pss3e7", "kernel_id": "35050924"}, {"ref": "satyaprakashshukl/neural-network-ps-series-3-e-8", "kernel_id": "35420483"}, {"ref": "hwikookchoe/pgs-s3e7-eda-and-pycaret-practice", "kernel_id": "35112536"}, {"ref": "barsito/notebook7d1ab207bd", "kernel_id": "35231841"}, {"ref": "umanglodaya/playground-series-s3e7-xgboost", "kernel_id": "35339586"}, {"ref": "sergeyyakovlev1312/playground-s3e7", "kernel_id": "35177149"}, {"ref": "daltondencklau/ps3-ep7-eda-baseline-models", "kernel_id": "35076909"}, {"ref": "amrelsayeh/pgs-s3e7-eda-xgboost", "kernel_id": "35254755"}, {"ref": "amrelsayeh/pgs-s3e7-ensemble-but-not-the-best", "kernel_id": "35201841"}, {"ref": "klyushnik/episode-7", "kernel_id": "35090113"}, {"ref": "klyushnik/lightgbm-setting", "kernel_id": "35127573"}, {"ref": "klyushnik/xgbclassifier-setting", "kernel_id": "35128306"}, {"ref": "demko1/s3e7-data-vizualization-and-a-bit-feature-engineer", "kernel_id": "35254794"}, {"ref": "chongjiaxu/reservation-lgbm-0-88883", "kernel_id": "35272130"}, {"ref": "meeratif/exploring-ps3e7-eda-lgbmclassifier", "kernel_id": "35180271"}, {"ref": "meeratif/accuracy-recall-and-precision", "kernel_id": "35915978"}, {"ref": "ashtcoder/pg-s3-e7", "kernel_id": "35289619"}, {"ref": "beauchamrongtan/playground-series-7", "kernel_id": "35265176"}, {"ref": "stefanwender/ai-academy-tabular-task", "kernel_id": "35651298"}, {"ref": "sahilsg/seaborn-reservation-s03-e07", "kernel_id": "35092052"}, {"ref": "sahilsg/reservation", "kernel_id": "35109719"}, {"ref": "pasqualemar/basic-ensemble-leakage-exploitation", "kernel_id": "35300265"}, {"ref": "kattat/reservation-cancellation-classification-with-keras", "kernel_id": "35411006"}, {"ref": "shiv7080/ps-s3-e7-eda-pycaret", "kernel_id": "35049036"}, {"ref": "riyaelizashaju/reservation-turnover-catboost-algo", "kernel_id": "35056456"}, {"ref": "abhi011097/predict-reservation-eda-lazypredict-lgbm-xgb", "kernel_id": "35050106"}, {"ref": "atrijtalgery/ps3-7-adaboost-pipeline-overfit-check", "kernel_id": "35333345"}, {"ref": "qiaoningchen/reservation-cancellation-ensemble-models", "kernel_id": "35172093"}, {"ref": "qiaoningchen/reservation-cancellation-prediction", "kernel_id": "35077107"}, {"ref": "ayushs9020/pg-s3-e7-81-35", "kernel_id": "35142975"}, {"ref": "ayushs9020/understanding-the-competition", "kernel_id": "35136956"}, {"ref": "thedwong/playground-s3-e7-very-basic-eda-modeling", "kernel_id": "35122559"}, {"ref": "elsayovita/booking-cancellation-prediction-xgboost", "kernel_id": "35484719"}, {"ref": "ashishkumarak/reservation-cancellation-prediction-lgbm-tf-rf", "kernel_id": "35059125"}, {"ref": "sapnajha0304/s3-ep-7", "kernel_id": "35120536"}, {"ref": "reeturajharsh/ps-with-xgboost-and-hyperparameter-tuning", "kernel_id": "35324461"}, {"ref": "takahironamatame/playground-series-season-3-episode-7", "kernel_id": "35100873"}, {"ref": "mattop/playground-series-s3-e7-eda", "kernel_id": "35047045"}, {"ref": "lizhecheng/s3e7-booking-status-prediction", "kernel_id": "35276845"}, {"ref": "mingyuwang1/playground-s3e7-ensemble-model", "kernel_id": "35154348"}, {"ref": "alexandershumilin/ps-s3-e7-ensemble-model", "kernel_id": "35051203"}, {"ref": "viktortaran/ps-s-3-e-7", "kernel_id": "35257681"}, {"ref": "magnussesodia/ps-s3e7-feature-eng-data-leakage-47th", "kernel_id": "35506733"}, {"ref": "manaidu/playground-series-s3e7", "kernel_id": "35291874"}, {"ref": "alfiyafakhrutdinova/strshufflesplit-kfold-strkfold-0-9099", "kernel_id": "35508769"}, {"ref": "dileepkasimalla/playground-season-3-episode-7-ticket-reservation", "kernel_id": "35508326"}, {"ref": "masayakawamata/best-15-models", "kernel_id": "35220425"}, {"ref": "masayakawamata/s3e7-xgboost-lightgbm-randomforest", "kernel_id": "35120292"}, {"ref": "masayakawamata/basic-eda-regression-analysis", "kernel_id": "35083368"}, {"ref": "masayakawamata/s3e7-trying-pca", "kernel_id": "35047196"}, {"ref": "masayakawamata/s3e7-eda-categorical-features", "kernel_id": "35048831"}, {"ref": "francescoliveras/ps-s3-e7-eda-simple-model", "kernel_id": "35056093"}, {"ref": "kirillka95/s3e7-models-test-optuna-ensemble", "kernel_id": "35173028"}, {"ref": "christrandata/interactive-eda-xgb-lgbm-optuna", "kernel_id": "35108265"}, {"ref": "abraamadamidis/lightgbm-optuna-first-try", "kernel_id": "35377734"}, {"ref": "namanhajela/notebook8fd20eddfd", "kernel_id": "35361511"}, {"ref": "rajkumarpandey02/ps-3-7-eda-cv-weights-optimizer", "kernel_id": "35390470"}, {"ref": "icfoer/ps6e7-xgboost-leak", "kernel_id": "35236823"}, {"ref": "utkarshgaikwad1994/ps3e7-smote-tomek-utkarsh-gaikwad", "kernel_id": "35162884"}, {"ref": "utkarshgaikwad1994/ps3e7-utkarsh-gaikwad", "kernel_id": "35088966"}, {"ref": "gopimali/handling-missing-value-imputation-tech-beginner", "kernel_id": "35648111"}, {"ref": "ssankarr/booking-status-prediction-with-stacking", "kernel_id": "35528426"}, {"ref": "ramkan07/playground-series-season-3-episode-7-91", "kernel_id": "35336048"}, {"ref": "kavishchaudhary1003/playground-s3-e7", "kernel_id": "35151664"}, {"ref": "ahmadalijamali/data-analysis-of-playground-series-s3-e7", "kernel_id": "35062828"}, {"ref": "shubhamsingh57/playground-series-multiple-model", "kernel_id": "35375548"}, {"ref": "muhammadumairab/playground-s3e-7", "kernel_id": "35323362"}, {"ref": "eamonntweedy/playgrounds3e7-lgbm-xgb-cb", "kernel_id": "35381661"}, {"ref": "rebeccapringle/playground-series-s3e7", "kernel_id": "35105261"}, {"ref": "byronjehrke/project-4", "kernel_id": "35335721"}, {"ref": "timothylincoln2/s3-e7-ps-omar-tim", "kernel_id": "35054229"}, {"ref": "ryangreiner/s3-e7-initial-eda", "kernel_id": "35075204"}, {"ref": "oldjerry/vif-isolated-forest-fusion-model", "kernel_id": "35170312"}, {"ref": "oldjerry/model-integration-under-bayesian-optimization", "kernel_id": "35049500"}, {"ref": "boyochan/ps-s3-e7-eda-lightgbm", "kernel_id": "35499694"}, {"ref": "panini92/ps-s3e7", "kernel_id": "35150421"}, {"ref": "moohamedelsayed/reservation-cancellation-prediction", "kernel_id": "35180541"}, {"ref": "adivireza/playground-series-season-3-episode-7", "kernel_id": "35433982"}, {"ref": "finnhenrik/ai-academy-tabular-task", "kernel_id": "35846405"}, {"ref": "inaciobr/ps-s03e07-votingclassifier-xgb-lgbm", "kernel_id": "35047021"}, {"ref": "moradrawashdeh/playground-7", "kernel_id": "35292207"}, {"ref": "grantgonnerman/ps-s3-e7-model-comparisons-ensembles", "kernel_id": "35049537"}, {"ref": "mliammm/binary-tabular-restaurant-booking-w-fastai", "kernel_id": "35772592"}, {"ref": "mliammm/tabular-linear-model-binary-from-scratch-test", "kernel_id": "35745753"}, {"ref": "rohitkumar7690/rohitkumar7690", "kernel_id": "35483075"}, {"ref": "deebahaider/deebah-playground-series-3x07", "kernel_id": "35475406"}, {"ref": "mnokno/reservation-cancellation-prediction-using-xgboost", "kernel_id": "35368526"}, {"ref": "murtazaaamir/play-ground-series-with", "kernel_id": "35286626"}, {"ref": "juventop/playground-series-s03e07", "kernel_id": "35087883"}, {"ref": "mihami02/notebook177dbe890b", "kernel_id": "35926016"}, {"ref": "alpayabbaszade/combined-feature-selection-analysis", "kernel_id": "36098961"}, {"ref": "timothys5/playground-s3e7-baseline", "kernel_id": "37819768"}, {"ref": "katenn/notebooke804335e36", "kernel_id": "37381520"}, {"ref": "muhannadmansour/eda-and-classification-models-for-cancelled-status", "kernel_id": "37962006"}, {"ref": "dmitrykhomyakov/sad-5-logregr", "kernel_id": "37971748"}, {"ref": "juliapshen1608/notebook507b4fc951", "kernel_id": "37955058"}, {"ref": "cleancodebrn/notebookad283f8000", "kernel_id": "37590834"}, {"ref": "dmitriiiakovtsev/sad-04-iakovtsev", "kernel_id": "38717975"}, {"ref": "juliapshen1608/pshenichnikovajulia-4206m-lab4", "kernel_id": "38228242"}, {"ref": "juliapshen1608/notebook4c515fb29d", "kernel_id": "38086773"}, {"ref": "juliapshen1608/notebookda46d03cc7", "kernel_id": "38036744"}, {"ref": "andryasilvestre/notebook3305b664b0", "kernel_id": "38937584"}, {"ref": "soraharada/play-s3e07-quick-baseline", "kernel_id": "39128407"}, {"ref": "gabfds/trupe-dos-ratos", "kernel_id": "39566152"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "abdelrahmanaboelnaga/eda-and-classification-models", "kernel_id": "40670908"}, {"ref": "faelk8/ps-3-7-kfold-catboostclassifier", "kernel_id": "41383868"}, {"ref": "chrandalf/easy-class-model", "kernel_id": "41501622"}, {"ref": "utkarshgaikwad1994/ps3e7-utkarsh", "kernel_id": "41957728"}, {"ref": "yaranasr/reservation-cancellation", "kernel_id": "41951955"}, {"ref": "glebmikh/pavel-classification", "kernel_id": "45470393"}, {"ref": "laught3/binary-classification-model", "kernel_id": "45213694"}, {"ref": "omega11/20-business-questions-answered-with-eda", "kernel_id": "46705723"}, {"ref": "lookitskhushboo/notebookd4e33d5ba0", "kernel_id": "49781613"}, {"ref": "shivamvermathapar/reservationcancallation1st", "kernel_id": "49418677"}, {"ref": "swasti19/basic-classification", "kernel_id": "49782304"}, {"ref": "syedmalizaidi/hotel-bookings-predictions", "kernel_id": "49033979"}, {"ref": "iosaman/basic-classification-aman", "kernel_id": "50787635"}, {"ref": "arshiyakishore/tabular-reservation", "kernel_id": "50097348"}, {"ref": "piyush1234ggfuvi/tabular-reservation-cancellation-dataset", "kernel_id": "50051983"}, {"ref": "jayantdon/playground-series-s3e7", "kernel_id": "50788484"}, {"ref": "sakshigoyal001/tabularreservationcancellation", "kernel_id": "50928262"}, {"ref": "hardikgarg03/table-reservation-xgb-random-forest-and-logistic", "kernel_id": "51719006"}, {"ref": "ramjaslangdi/tabular-reservation-c-score-0-90120", "kernel_id": "51072848"}, {"ref": "iyasha/binary-classification-with-tabular-reservation", "kernel_id": "51528222"}, {"ref": "kunal025/binary-classification-tabular-reservation-cancel", "kernel_id": "51517864"}, {"ref": "shresthapundir/table-reservation-xgb-random-forest-and-logistic", "kernel_id": "51828010"}, {"ref": "mayankgupta9/notebook2629635925", "kernel_id": "51887092"}, {"ref": "harshitarya003/xgb-eda-step-by-step", "kernel_id": "51615703"}, {"ref": "adriansergheev/ai-academy-tabular-task", "kernel_id": "52488389"}, {"ref": "cdr0101/binary-classification-tabular-reservation", "kernel_id": "53970185"}, {"ref": "sakshamsikri8/tabular-reservation-cancellation-dataset-saksham", "kernel_id": "54264695"}, {"ref": "harleenkaurdeora/binary-classification-with-tabular-reser", "kernel_id": "55222633"}, {"ref": "milosmanic/notebookb5e84bd3b6", "kernel_id": "73082379"}, {"ref": "xopcxopcob/notebookb9a93ff594", "kernel_id": "73436310"}, {"ref": "zhuldyzayb/binary-classification-reservation-cancellation", "kernel_id": "81936974"}, {"ref": "spirichev/spirichev-sad-2", "kernel_id": "82633149"}, {"ref": "aslam0007/aslam-project", "kernel_id": "82866773"}, {"ref": "anishreddy1/reservation-cancellation-prediction", "kernel_id": "85808716"}, {"ref": "hebaqueen/tabular-classification", "kernel_id": "105720751"}, {"ref": "mhskaya/hotel-reservation-cancellation-classification", "kernel_id": "124931525"}]}
{"competition_id": "45893", "kernels": [{"ref": "phongnguyen1/a-framework-for-tabular-regression-e9-8-6", "kernel_id": "34829999"}, {"ref": "mahimchrl/eda-model-s3-ep-8", "kernel_id": "35316570"}, {"ref": "cv13j0/exploring-pycaret", "kernel_id": "35278995"}, {"ref": "arosielle/s3-8-lgbm-optuna", "kernel_id": "35471059"}, {"ref": "docxian/ps-s3-e9-concrete-strength-autogluon-regression", "kernel_id": "35550174"}, {"ref": "datascientistsohail/regression-ml-optuna-xgbreg", "kernel_id": "35691923"}, {"ref": "ch124uec/plotly-eda-feature-engineering-optuna", "kernel_id": "35275457"}, {"ref": "jonbown/starter-nb-cluster-pca-reg-xgb-s3e8", "kernel_id": "35309842"}, {"ref": "nikitagrec/sklearn-pipeline-random-forest-mape-0-089", "kernel_id": "35284885"}, {"ref": "oscarm524/ps-s3-ep8-eda-modeling", "kernel_id": "35275418"}, {"ref": "kimtaehun/simple-eda-and-xgb-baseline-with-full-dataset", "kernel_id": "35277049"}, {"ref": "erwinhmtang/playground-s3e8-ensemble-wt-optuna", "kernel_id": "35405902"}, {"ref": "efrainp23/tensorflow-gpu-price-prediction", "kernel_id": "35428836"}, {"ref": "craigmthomas/play-s3e8-eda-models", "kernel_id": "35275916"}, {"ref": "roxket/poissonregressor-716-5882", "kernel_id": "35412879"}, {"ref": "jrreda/s03e08-gemstone-price-prediction", "kernel_id": "35322568"}, {"ref": "omarvivas/cb-tpgs-s3e8-v1", "kernel_id": "35275706"}, {"ref": "omarvivas/xgb-tpgs-s3e8-v1", "kernel_id": "35275738"}, {"ref": "omarvivas/lgbm-tpgs-s3e8-v1", "kernel_id": "35275384"}, {"ref": "manavd22/xgboost-bayesian-tuning-eda", "kernel_id": "35503741"}, {"ref": "manavd22/bayesian-tuning-eda", "kernel_id": "35680760"}, {"ref": "stpeteishii/pss3-ep8-visualize-importance", "kernel_id": "35449555"}, {"ref": "stpeteishii/pss3-ep8-lgbm-with-optuna", "kernel_id": "35449602"}, {"ref": "ted0071/ps3e8-eda-catboost", "kernel_id": "35393470"}, {"ref": "henilj7/sparkling-insights-4c-and-presentation", "kernel_id": "35281110"}, {"ref": "mmellinger66/s3e8-gemstone-pricing-models", "kernel_id": "35344312"}, {"ref": "mpwolke/diamond-or-cubic-zirconia", "kernel_id": "35298319"}, {"ref": "deshram/ps-s3e08-simple-baseline-model-for-begineers", "kernel_id": "35635153"}, {"ref": "gamerlacika/gemstone-price-prediktel", "kernel_id": "35626504"}, {"ref": "saswat17/feature-engineering-lr-rfr-and-xgboost", "kernel_id": "35533691"}, {"ref": "dongjun819/pycaret-pgs3-8", "kernel_id": "35303498"}, {"ref": "catadanna/tab-s3-e8", "kernel_id": "35277890"}, {"ref": "catadanna/gema-cours-ml-2-cah", "kernel_id": "35298347"}, {"ref": "catadanna/gema-cours-ml-3-kmeans-from-scratch", "kernel_id": "35540002"}, {"ref": "catadanna/gema-cours-ml-2-kmeans-sklearn", "kernel_id": "35543043"}, {"ref": "catadanna/gema-cours-ml-4-pca", "kernel_id": "35564490"}, {"ref": "catadanna/gema-cours-2-regression", "kernel_id": "35361146"}, {"ref": "masatakasuzuki/starter-notebook-simple-keras-for-tabular-data", "kernel_id": "35358888"}, {"ref": "masatakasuzuki/insight-of-feature-importance-split-and-gain", "kernel_id": "35406404"}, {"ref": "masatakasuzuki/how-do-the-layers-effect-to-tabular-data-in-keras", "kernel_id": "35395474"}, {"ref": "masatakasuzuki/easy-hyperparameter-tuning-lightgbm-with-k-fold", "kernel_id": "35425222"}, {"ref": "masatakasuzuki/automl-compare-with-pycaret-and-autokeras", "kernel_id": "35426401"}, {"ref": "masatakasuzuki/automl-h2o", "kernel_id": "35455671"}, {"ref": "masatakasuzuki/ft-transformer-transformer-for-tabular-data", "kernel_id": "35660750"}, {"ref": "jbomitchell/gem-median-ensembler", "kernel_id": "35678079"}, {"ref": "amarloni/pgs3e8-eda-submission", "kernel_id": "35323025"}, {"ref": "abdoulayebalde/pse8-eda-lgbm-baseline", "kernel_id": "35349841"}, {"ref": "charunumesh/playground-series-s3-e8-ensemble", "kernel_id": "35375044"}, {"ref": "akioonodera/ps-3-08-lgbm-reg", "kernel_id": "35277644"}, {"ref": "mtulgac/chatgpt-lightgbm-optuna", "kernel_id": "35468995"}, {"ref": "nancysamuel/pss-3-ep-8", "kernel_id": "35253450"}, {"ref": "enjoyingworld/nn-fastai-lgbm-catboost", "kernel_id": "35368254"}, {"ref": "lonnieqin/s3e8-with-optuna-pruner", "kernel_id": "35375946"}, {"ref": "vassylkorzh/does-size-matter-data-viz-d3js-eda", "kernel_id": "35304049"}, {"ref": "ericdeuber/gemstone-price-prediction", "kernel_id": "35616855"}, {"ref": "uyeanil/pgs-s3e8-ensemble-kfolds", "kernel_id": "35734281"}, {"ref": "hiroshikurokawa/p3s8-lgb-catb-xgb-ensemble", "kernel_id": "35295831"}, {"ref": "pawebiegun/playground-season-3-episode-8", "kernel_id": "35356984"}, {"ref": "tracyporter/play-3-8", "kernel_id": "35332547"}, {"ref": "omkarchoulwar/tps-feb-23-eda", "kernel_id": "35425857"}, {"ref": "warcoder/xgboost-solution", "kernel_id": "35674804"}, {"ref": "arlle26/s3e8-baseline-lgbm-xgb-rf-lb589", "kernel_id": "35335880"}, {"ref": "fuad0857/playground-s3-e8-with-tensorflow", "kernel_id": "35321380"}, {"ref": "atogni85/pgs03e08-eda-outliers-detection-basic-model", "kernel_id": "35534618"}, {"ref": "yimingliang/pss3-e8-eda-feature-engineering-lgbm", "kernel_id": "35278999"}, {"ref": "yimingliang/cleaning-data-in-x-y-z-0-564-improvement", "kernel_id": "35390117"}, {"ref": "djwerterrichmond/keras-model", "kernel_id": "35577106"}, {"ref": "keenanzhuo/quick-and-basic-regression-for-gemstone-prices", "kernel_id": "35931678"}, {"ref": "ahmadjulius/playground-ahmad", "kernel_id": "35479745"}, {"ref": "sergiosaharovskiy/ps-s3e8-2023-eda-and-submission", "kernel_id": "35279665"}, {"ref": "alfax213/gemstone-price-prediction-using-xgboost", "kernel_id": "35453963"}, {"ref": "samuraikaggle/simple-samurai-automl-pycaret-ensemble-s3e8-reg", "kernel_id": "35447080"}, {"ref": "samuraikaggle/samurai-s3e8ens-featureengineering-cb-xb-lb", "kernel_id": "35296089"}, {"ref": "alexkonse/ps3e8-cat-ensemble-xgb-nn", "kernel_id": "35375194"}, {"ref": "sonukumar2k19it124/s3-e8", "kernel_id": "35678070"}, {"ref": "rkoirala129/xgboost-regression-baseline", "kernel_id": "35353180"}, {"ref": "eslamfouad/hotel-reservations-dataset-customers-statistics", "kernel_id": "35913453"}, {"ref": "donjoeml/catboostregressor-optuna-rmse-576", "kernel_id": "35551788"}, {"ref": "khawajaabaidullah/ps3e8-starting-strong-ensembling-gdbts", "kernel_id": "35287544"}, {"ref": "bayesianterrapin/s3e8-eda-baseline-pycaret-lgb", "kernel_id": "35309200"}, {"ref": "tnghthanh/s3e8-lgbm-optuna-and-tune-the-model-while-train", "kernel_id": "35421178"}, {"ref": "tetsutani/ps3e8-xgb-lgbm-cat-ensemble-baseline", "kernel_id": "35315809"}, {"ref": "satoshiss/gemstone-price-prediction-s3e8", "kernel_id": "35308061"}, {"ref": "ashishanton/xgboost-optuna", "kernel_id": "35581899"}, {"ref": "baduguchandana/gem-stone-prediction", "kernel_id": "35569264"}, {"ref": "aminazd/r-gression-lin-aire-ridge-lasso-elastic-net", "kernel_id": "35361210"}, {"ref": "alexandrepetit881234/s3e8-eda-and-predictions", "kernel_id": "35370429"}, {"ref": "amarnathaditya/s3e8-models-v2", "kernel_id": "35493281"}, {"ref": "amarnathaditya/playground-s3e8-eda", "kernel_id": "35307668"}, {"ref": "barbagrande007/bbg007-s3e8-gemstones", "kernel_id": "35297282"}, {"ref": "satyaprakashshukl/eda-playing-s3-e8-price-pred", "kernel_id": "35278296"}, {"ref": "satyaprakashshukl/model-ensemble", "kernel_id": "35546628"}, {"ref": "satyaprakashshukl/simple-model", "kernel_id": "35325046"}, {"ref": "satyaprakashshukl/ensemble-model", "kernel_id": "35678578"}, {"ref": "hwikookchoe/pgs-s3e8-inspection-on-x-y-z-and-depth", "kernel_id": "35304435"}, {"ref": "hwikookchoe/pgs-s3e8-comparison-between-several-approaches", "kernel_id": "35507531"}, {"ref": "hwikookchoe/pgs-s3e8-eda-and-regression-practice", "kernel_id": "35301528"}, {"ref": "agunbiadeopeyemi/notebook0be70b28c1", "kernel_id": "35535019"}, {"ref": "umanglodaya/playground-series-s3e8-xgboost", "kernel_id": "35481488"}, {"ref": "angelmartinezromero/590-explicada-en-espa-ol", "kernel_id": "35548597"}, {"ref": "sujaykapadnis/ps3e8-models-ensemble-final-submission", "kernel_id": "35455112"}, {"ref": "johnericbonilla/notebook99ff87ff1e", "kernel_id": "35658260"}, {"ref": "sergeyyakovlev1312/playground-s3e8", "kernel_id": "35459110"}, {"ref": "samuelcortinhas/ps-s3e8-gem-price-prediction", "kernel_id": "35399700"}, {"ref": "amrelsayeh/pgs-s3e8-simple-xgboost", "kernel_id": "35367560"}, {"ref": "klyushnik/episode-8", "kernel_id": "35294833"}, {"ref": "chongjiaxu/gemstone-price-lgbm-easy-to-follow-588", "kernel_id": "35312316"}, {"ref": "meeratif/eda-solution-gemstone-price", "kernel_id": "35460116"}, {"ref": "ashtcoder/pg-s3-e8-ensemble-encoded-featureeng", "kernel_id": "35578302"}, {"ref": "sahilsg/eda-gemstone", "kernel_id": "35572426"}, {"ref": "sahilsg/gemstone-s3-e8-ensemble-xgb-lgbm-catb-stacking", "kernel_id": "35566774"}, {"ref": "sudhanshu2198/lgbm-with-optuna-plotly-and-feature-selection", "kernel_id": "35638621"}, {"ref": "burhanuddinlatsaheb/eda-lgbm-catboost", "kernel_id": "35279280"}, {"ref": "imantsabet/gema-cours-ml-2-kmeans-sklearn", "kernel_id": "35776813"}, {"ref": "xbulat/s3-e8-gradientboostingregressor", "kernel_id": "35497682"}, {"ref": "kattat/gem-price-prediction", "kernel_id": "35531368"}, {"ref": "arthurgrimaldi/cours-ml-4-pca-arthur-grimaldi", "kernel_id": "35776495"}, {"ref": "arthurgrimaldi/ml-2-kmeans-dbscan", "kernel_id": "35776898"}, {"ref": "kylegraupe/2-xgboost-tuning-methods-random-and-bayesian", "kernel_id": "35478618"}, {"ref": "qiaoningchen/gemstone-price-eda-lightgbm-gridsearch-optuna", "kernel_id": "35332697"}, {"ref": "adityasetyo/gem-stone-price-prediction-eda", "kernel_id": "35720548"}, {"ref": "pranavkannepalli/gemstonepriceprediction", "kernel_id": "35591631"}, {"ref": "gh4rudxd/simple-prediction-using-gbr", "kernel_id": "35533270"}, {"ref": "saniyatlamim007/ps-3-8-w-xgbregressor", "kernel_id": "35608926"}, {"ref": "mattop/playground-series-s3-e8-eda-3d-plots", "kernel_id": "35275349"}, {"ref": "jethiwalasaivardhan/pricepredction", "kernel_id": "35522947"}, {"ref": "amanvishnoi777/playground-series-season-3-ep8", "kernel_id": "35319006"}, {"ref": "lizhecheng/s3e8-xgb-kfolds", "kernel_id": "35287992"}, {"ref": "manaidu/playground-series-s3e8", "kernel_id": "35303921"}, {"ref": "hanrockyh/playgrounds3e8", "kernel_id": "35469742"}, {"ref": "alexbostick/xgboost-regressor-price-prediction", "kernel_id": "35744223"}, {"ref": "javohirtoshqorgonov/gemstone-price-prediction-eda", "kernel_id": "35283444"}, {"ref": "rahul416/rahuls3e8", "kernel_id": "35428396"}, {"ref": "masayakawamata/s3e8-dnn-ensemble", "kernel_id": "35702578"}, {"ref": "masayakawamata/s3e8-keras", "kernel_id": "35557077"}, {"ref": "masayakawamata/catboost-lightgbm-xgboost", "kernel_id": "35275669"}, {"ref": "vineetpanicker/regression", "kernel_id": "35845376"}, {"ref": "santiagopedroza/s3e8-eda-and-an-intro-submission", "kernel_id": "35338404"}, {"ref": "francescoliveras/ps-s3-e8-eda-model-en-es", "kernel_id": "35283198"}, {"ref": "abdousow/abdoul-2-regression", "kernel_id": "35605643"}, {"ref": "tonychirilus/gemstone-price-prediction-with-lgbm-regressor", "kernel_id": "35705087"}, {"ref": "icfoer/ps3e8-original-train-eda-modeling-in-progress", "kernel_id": "35299358"}, {"ref": "utkarshgaikwad1994/ps3e8-keras-final-utkarsh-gaikwad", "kernel_id": "35584365"}, {"ref": "utkarshgaikwad1994/ps3e8-pycaret-utkarsh-gaikwad", "kernel_id": "35508756"}, {"ref": "gopimali/gemstone-price-prediction", "kernel_id": "35532370"}, {"ref": "gopimali/handling-missing-value-imputation-tech-beginner", "kernel_id": "35648111"}, {"ref": "shionmatsuoka/new-features-and-outlier-improvement", "kernel_id": "35540149"}, {"ref": "sofiamatias/playground-s3e9", "kernel_id": "35823853"}, {"ref": "sofiamatias/playground-s3e8", "kernel_id": "35731156"}, {"ref": "ramkan07/playground-series-season-3-episode-7-91", "kernel_id": "35336048"}, {"ref": "kavishchaudhary1003/playground-s3-e8", "kernel_id": "35301597"}, {"ref": "qahramonuktamov2205/s3e8-xgbregressor-and-other-different-regressors", "kernel_id": "35622975"}, {"ref": "eamonntweedy/playground-s3-e8-gemstones-xgb-lgb-cb-ensemble", "kernel_id": "35706221"}, {"ref": "bvinning/s3e8-stacking-voting-with-lgbm-xgb-and-rf", "kernel_id": "35383678"}, {"ref": "lopoindefer/r-gression-lin-aire", "kernel_id": "35361193"}, {"ref": "iamnotashutosh/pg-s3-e8-optuna-lgbm", "kernel_id": "35642934"}, {"ref": "iamnotashutosh/pg-s3-e8", "kernel_id": "35600332"}, {"ref": "andreaskaufmann/s3e8-simple-dnn-with-tensorflow", "kernel_id": "35301038"}, {"ref": "andreaskaufmann/keras-gradientboostedtreesmodel", "kernel_id": "35405602"}, {"ref": "andreaskaufmann/s3e8-xgboost", "kernel_id": "35413365"}, {"ref": "andreaskaufmann/s3e8-random-forest-with-tensorflow", "kernel_id": "35344546"}, {"ref": "fabricelaura/notebook0d0130bf42", "kernel_id": "35361185"}, {"ref": "kaylanghammerdata/gemstones-xgboost", "kernel_id": "35313471"}, {"ref": "adilhachimi99/adil1notebook", "kernel_id": "35605660"}, {"ref": "dmtamm/s3e8-lightgbm-eng-rus", "kernel_id": "35299995"}, {"ref": "oldjerry/bayes-fusion-isolated-forest-xgb-lgb-stacking", "kernel_id": "35298098"}, {"ref": "kaldorlido/cours-m-l1", "kernel_id": "35361499"}, {"ref": "janmpia/s3-8-visual-eda", "kernel_id": "35590360"}, {"ref": "jeatoo/tom-gema-cours-regression-ridge-elastricnet-lasso", "kernel_id": "35605605"}, {"ref": "georgescutelnicu/ps-s3e8-gemstone-price-prediction-lightgbm", "kernel_id": "35710119"}, {"ref": "anurag930777/notebook89b0ab2559111", "kernel_id": "35727488"}, {"ref": "mnokno/gemstone-price-prediction-using-xgboost", "kernel_id": "35278676"}, {"ref": "madhanmohand/gemstone-price", "kernel_id": "35633660"}, {"ref": "yvronrocher/gema-cours-3-regression-yvon", "kernel_id": "35605521"}, {"ref": "zinebkhoudmi/khoudmi-zineb-regression", "kernel_id": "35605622"}, {"ref": "christianadon/gema-cours-2-regression-copy", "kernel_id": "35605547"}, {"ref": "joshuamoussy/gema-cours-2-regression-jo", "kernel_id": "35605552"}, {"ref": "stephcyrille/ml-lab-2-regression-ridge-lasso-and-en", "kernel_id": "35605770"}, {"ref": "vikeshkhurana/s03e08-gemstone-price", "kernel_id": "35382539"}, {"ref": "rezassyah9/ds-week1", "kernel_id": "35456801"}, {"ref": "williamabolo1/william-abolo-regression", "kernel_id": "35615961"}, {"ref": "slumericanbx/exercise-joins-and-unions", "kernel_id": "35761138"}, {"ref": "nancysamuel/pss-3-ep-11", "kernel_id": "36028857"}, {"ref": "nikitadubey/gemstones-price-prediction01", "kernel_id": "36746839"}, {"ref": "abassouedraogo/gema-cours-ml-4-pca", "kernel_id": "36291028"}, {"ref": "rgowerbruh/beginner-guide-to-mse-rmse-and-r2", "kernel_id": "36506971"}, {"ref": "rgowerbruh/beginners-guide-to-hyperparameter-tuning", "kernel_id": "36504385"}, {"ref": "momagueye/tp-du-21-03-2023", "kernel_id": "36292535"}, {"ref": "josephwonov/tp-regression-joseph", "kernel_id": "36638102"}, {"ref": "boubacarfofana/boubacar-devoir-regression", "kernel_id": "36667639"}, {"ref": "boubacarfofana/notebook0d0130bf42", "kernel_id": "36583623"}, {"ref": "fzjld1994/eda-s3e8", "kernel_id": "37846496"}, {"ref": "rohansohani/dimond-price-prediction-with-linear-regression", "kernel_id": "38678994"}, {"ref": "ahmedashrafahmed/tabular-gemstone-price-dataset", "kernel_id": "38778059"}, {"ref": "hder03/gemstone-price-prediction", "kernel_id": "38255919"}, {"ref": "kornllugosi/neural-network-for-tabular-gemstone-dataset", "kernel_id": "38391668"}, {"ref": "divyapandey2216/cb-tpgs-s3e8-v1", "kernel_id": "38860643"}, {"ref": "rafaelborgesgraunke/gemstone-price-regression", "kernel_id": "38929176"}, {"ref": "vstacknocopyright/gemstone-price-prediction-using-ensemble-learning", "kernel_id": "39262641"}, {"ref": "blackneiko04/s3e8-bagging", "kernel_id": "39052332"}, {"ref": "ashishash303/gemstone-price-prediction-using-linear-regression", "kernel_id": "40678339"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "ayushtara/gemstone-randomforest", "kernel_id": "40103467"}, {"ref": "ayushtara/gemstone-xgboost", "kernel_id": "40097512"}, {"ref": "ayushtara/gemstone-nn", "kernel_id": "40219619"}, {"ref": "ronaldofat/notebook3bcd79e134", "kernel_id": "40127448"}, {"ref": "faelk8/3-8-ps", "kernel_id": "41460312"}, {"ref": "fahaddalwai/stacked-ft-transformer-approach-for-ids", "kernel_id": "43370705"}, {"ref": "glebmikh/pavel-validation", "kernel_id": "44650257"}, {"ref": "ritaurbani/ml-cb-gemstone-dataset", "kernel_id": "44976538"}, {"ref": "glebmikh/rita-kaggle-submission", "kernel_id": "45170738"}, {"ref": "phinnale/gradientboostingregressorgemstone", "kernel_id": "45639891"}, {"ref": "shreyasharma28/diamondpriceprediction", "kernel_id": "48056748"}, {"ref": "ninthovo/gemprice-prediction-rninth", "kernel_id": "48301725"}, {"ref": "userbitco/s3e8-regression", "kernel_id": "49234612"}, {"ref": "chhavideora11/diamondpriceprediction", "kernel_id": "49964234"}, {"ref": "stutimittal11/gemstone", "kernel_id": "49447078"}, {"ref": "arshiyakishore/diamondpriceprediction", "kernel_id": "50097108"}, {"ref": "arshiyakishore/gemstone", "kernel_id": "50827761"}, {"ref": "jayantdon/regression-with-a-tabular-gemstone-price-dataset", "kernel_id": "50788294"}, {"ref": "paramvir705/diamond-price-prediction", "kernel_id": "51079078"}, {"ref": "harleenkaurdeora/regression-with-regular-gemstone", "kernel_id": "54683131"}, {"ref": "vanshikam28/tabular-gemstone-price-dataset", "kernel_id": "54201648"}, {"ref": "kanishhkaa/notebooka4de3184e7", "kernel_id": "54227148"}, {"ref": "atharvcode/gemstone-price-prediction", "kernel_id": "73245949"}, {"ref": "charleyyeung/gemstone-regression-the-true-natural-beauty", "kernel_id": "78490601"}, {"ref": "aryantuli/feature-engineering-basics", "kernel_id": "82280582"}, {"ref": "nushk314/tabular", "kernel_id": "82291811"}, {"ref": "aloneintokyo11/gem-price-prediction-with-mlp-deepres-and", "kernel_id": "114985539"}, {"ref": "samratrm/gemstone-linear-regression", "kernel_id": "121661072"}]}
{"competition_id": "45894", "kernels": [{"ref": "phongnguyen1/a-framework-for-tabular-regression-e9-8-6", "kernel_id": "34829999"}, {"ref": "scirpus/caementicium", "kernel_id": "35652832"}, {"ref": "scirpus/complex-caementicium", "kernel_id": "35655177"}, {"ref": "ricardorios/linear-regression", "kernel_id": "35751929"}, {"ref": "ricardorios/ridge-lasso-pcr-pls", "kernel_id": "35984989"}, {"ref": "vaidyaprasad84/ps3-e9-feature-engineering", "kernel_id": "35547731"}, {"ref": "cv13j0/xgboost-model-optuna-optimization", "kernel_id": "35899456"}, {"ref": "davidhguerrero/interaction-features-vs-strenght", "kernel_id": "35583328"}, {"ref": "jarmos/practice-notebook-ps-s3-e9", "kernel_id": "35844193"}, {"ref": "docxian/ps-s3-e9-concrete-strength-autogluon-regression", "kernel_id": "35550174"}, {"ref": "datascientistsohail/bayesian-optimization-on-csd-se03ep09", "kernel_id": "35766274"}, {"ref": "ch124uec/eda-feature-engineering-ensembling-optuna", "kernel_id": "35517743"}, {"ref": "slythe/pss3e09-6-ensembling-regression", "kernel_id": "35738687"}, {"ref": "slythe/pss3e9-4-single-model-tuning-regression", "kernel_id": "35635983"}, {"ref": "slythe/ps3e9-3-feature-selection-regression", "kernel_id": "35635181"}, {"ref": "slythe/pss3e9-5-1-multi-model-cv-best-fold-regression", "kernel_id": "35640529"}, {"ref": "slythe/pse3e9-5-2-multi-model-cv-all-folds-regression", "kernel_id": "35640970"}, {"ref": "slythe/pse3e9-2-feature-creation-symbolic-transform", "kernel_id": "35606199"}, {"ref": "slythe/pse3e9-1-eda-model-selection-regression", "kernel_id": "35599393"}, {"ref": "nikitagrec/top-1-score-11-75-use-original-data-difference", "kernel_id": "35549375"}, {"ref": "nikitagrec/data-leak-53-catboost", "kernel_id": "35527401"}, {"ref": "kandruszek/plotly-xgboost-basic-solution", "kernel_id": "35602979"}, {"ref": "oscarm524/ps-s3-ep9-eda-modeling", "kernel_id": "35521062"}, {"ref": "kimtaehun/breif-eda-and-xgb-baseline-with-full-dataset", "kernel_id": "35519501"}, {"ref": "craigmthomas/play-s3e9-eda-models", "kernel_id": "35521445"}, {"ref": "k4puneet/learning-with-skorch", "kernel_id": "35906368"}, {"ref": "dellalkhaled/before-after-normalization-charts-ps-s3-e9", "kernel_id": "35905037"}, {"ref": "dellalkhaled/variables-normalization", "kernel_id": "35841248"}, {"ref": "omarvivas/torch-tpgs-s3e9-v1", "kernel_id": "35789736"}, {"ref": "omarvivas/keras-tpgs-s3e9-v1", "kernel_id": "35789818"}, {"ref": "omarvivas/cb-tpgs-s3e9-v1", "kernel_id": "35517692"}, {"ref": "omarvivas/lgbm-tpgs-s3e9-v1", "kernel_id": "35518100"}, {"ref": "omarvivas/xgb-tpgs-s3e9-v1", "kernel_id": "35518102"}, {"ref": "manavd22/x-l-gbm-optuna-eda", "kernel_id": "35768606"}, {"ref": "stpeteishii/pss3-ep9-lgbm-with-optuna", "kernel_id": "35722667"}, {"ref": "stpeteishii/pss3-ep9-visualize-importance", "kernel_id": "35722669"}, {"ref": "ted0071/ps3e9-eda-models", "kernel_id": "35636670"}, {"ref": "mmellinger66/s3e9-concrete-strength-models", "kernel_id": "35519954"}, {"ref": "niranjanstudy06/cnn-xgb-lightgbm-gb-optuna-tuning", "kernel_id": "35912548"}, {"ref": "mpwolke/build-up-your-strength", "kernel_id": "35549631"}, {"ref": "syerramilli/ps3e9-keras-mlp-with-skip-connections", "kernel_id": "35825235"}, {"ref": "syerramilli/ps3e9-xgboost-hyperopt", "kernel_id": "35544093"}, {"ref": "gamerlacika/concrete-strength-prediktel", "kernel_id": "35750747"}, {"ref": "joon0830/pss3e9-eda-ensemble-solution", "kernel_id": "35833076"}, {"ref": "prachi13/pss3-ep9-eda-model", "kernel_id": "35646992"}, {"ref": "nooruddinqur/pg-s3e9", "kernel_id": "35947351"}, {"ref": "arunpurakkatt/eda-xgb-submission", "kernel_id": "35810566"}, {"ref": "dongjun819/pycaret-pgs3-9", "kernel_id": "35527882"}, {"ref": "catadanna/tab-s3-e9", "kernel_id": "35531872"}, {"ref": "s4557161/playground-s3e9-lightgbm-xgboost-optuna", "kernel_id": "35764028"}, {"ref": "killershoaib/ps-e9-eda-baseline-xgboost", "kernel_id": "35615626"}, {"ref": "masatakasuzuki/split-gain-insight-of-feature-importance-lgbm", "kernel_id": "35522623"}, {"ref": "masatakasuzuki/good-but-easy-automl-h2o-s3e9", "kernel_id": "35520231"}, {"ref": "masatakasuzuki/pss3e9-ft-transformer-transformer-for-tabulardata", "kernel_id": "35719132"}, {"ref": "masatakasuzuki/nn-model-starter-keras-pytorch", "kernel_id": "35689422"}, {"ref": "masatakasuzuki/can-we-trust-test-data-adversarial-validation", "kernel_id": "35667253"}, {"ref": "masatakasuzuki/easy-to-use-extend-automl-autogluon", "kernel_id": "35605925"}, {"ref": "gabrielott/quick-eda-baseline-nn", "kernel_id": "35518598"}, {"ref": "amarloni/pgs3e9-pandas-cut", "kernel_id": "35560026"}, {"ref": "abdoulayebalde/ps3e9-eda-catboost-basline-with-11", "kernel_id": "35575005"}, {"ref": "charunumesh/playground-series-s3e9-ensemble-xgb-cat-lgbm", "kernel_id": "35617709"}, {"ref": "akioonodera/ps-3-09-lgbm-reg", "kernel_id": "35517596"}, {"ref": "nancysamuel/pss-3-ep-9-basic-model", "kernel_id": "35493463"}, {"ref": "hetax17/ep9-model-comparison-w-kfold-cv", "kernel_id": "35529223"}, {"ref": "ranjeetshrivastav/playground-series-s3e9-catboost", "kernel_id": "35833647"}, {"ref": "nyagami/predicting-concrete-strength-regression", "kernel_id": "35801342"}, {"ref": "tylerchi/concrete-strength-tensorflow", "kernel_id": "35627647"}, {"ref": "tylerchi/concretestrengthpredictionfeb", "kernel_id": "35550653"}, {"ref": "uyeanil/playground-series-s3e9-kfolds-ensemble", "kernel_id": "35817710"}, {"ref": "shivijaiswal/playground-9", "kernel_id": "35935880"}, {"ref": "rohithmahadevan/regression-analysis-s3-e9", "kernel_id": "35523351"}, {"ref": "hiroshikurokawa/p3s9-lgb-catb-xgb-ensemble", "kernel_id": "35539425"}, {"ref": "tracyporter/play-3-9-keras", "kernel_id": "35518590"}, {"ref": "omkarchoulwar/playground-series-s3e9-eda-and-modelling", "kernel_id": "35670680"}, {"ref": "johandedeyne123456/season3episode9-bayessearchcv-xgbregressor", "kernel_id": "35549937"}, {"ref": "lyasdemir/simple-price-estimation-projectt", "kernel_id": "35543867"}, {"ref": "pranjalrathore/strength-prediction-multiple-models", "kernel_id": "35525872"}, {"ref": "fuad0857/playground-s3-e9-with-tensorflow", "kernel_id": "35520253"}, {"ref": "leesstephanie/playground-s3e9-concrete-strength", "kernel_id": "35524907"}, {"ref": "djwerterrichmond/gradient-boosting-regressor", "kernel_id": "35605125"}, {"ref": "arjunbasandrai/ps-s3e9", "kernel_id": "35764305"}, {"ref": "foolishboi/ps3e9-eda-basicmodelling", "kernel_id": "35531399"}, {"ref": "dillanwilliams/playground-s3-9", "kernel_id": "35555140"}, {"ref": "mckayla/ps-s3-e9", "kernel_id": "35555410"}, {"ref": "bonniehall/ps3-e9-initial-eda-baseline-modeling", "kernel_id": "35521738"}, {"ref": "oksanakalytenko/playground-s3e9-featuretools-quick-predictions", "kernel_id": "35951636"}, {"ref": "samuraikaggle/s3e9ens-optuna-cb-xb-lb", "kernel_id": "35531989"}, {"ref": "samuraikaggle/simple-eda-automl-pycaret-ensemble-s3e9", "kernel_id": "35533258"}, {"ref": "samuraikaggle/s3e9-mlp-baseline", "kernel_id": "35612432"}, {"ref": "nguynqunam/playgroundseries-s3e9", "kernel_id": "35755348"}, {"ref": "sonukumar2k19it124/playground-s3e9-xgboost-catboost", "kernel_id": "35664550"}, {"ref": "hikarinosensh1/lightgbm-english", "kernel_id": "35630458"}, {"ref": "prutsaowaprut/s3e9-feature-engineering", "kernel_id": "35566785"}, {"ref": "macklinshanahan/notebook-ep9-rf-xgb-cat", "kernel_id": "35554488"}, {"ref": "donjoeml/lgbm-vs-catboost-regressor-optuna", "kernel_id": "35678200"}, {"ref": "anhdangquy/baseline-model-xgboost-with-fine-tuning", "kernel_id": "35913692"}, {"ref": "jimgruman/season3-episode9", "kernel_id": "35685326"}, {"ref": "tnghthanh/s3e9-lgbm-optuna-and-tuning-model", "kernel_id": "35630074"}, {"ref": "tnghthanh/ps-s3-e9-deep-learning-model", "kernel_id": "35835754"}, {"ref": "tetsutani/ps3e9-eda-and-gbdt-catboost-median-duplicatedata", "kernel_id": "35572089"}, {"ref": "alexandrepetit881234/s3e9-eda-with-2d-kde", "kernel_id": "35773188"}, {"ref": "shineyourlife/pg-s3e9-2nd", "kernel_id": "35755413"}, {"ref": "ambrosm/pss3e9-winning-model", "kernel_id": "35685660"}, {"ref": "ambrosm/pss3e9-eda-which-makes-sense", "kernel_id": "35595427"}, {"ref": "nayanpariya/playground-s3e9-xgb-cat-lgbm-gb-mpl", "kernel_id": "35970521"}, {"ref": "nayanpariya/regression-using-xgbooost-votingregressor", "kernel_id": "35606114"}, {"ref": "satyaprakashshukl/simple-neural-network-ps-series-3-e-9", "kernel_id": "35537255"}, {"ref": "satyaprakashshukl/eda-xgb-ps-s3-e9", "kernel_id": "35534614"}, {"ref": "satyaprakashshukl/improved-neural-network-ps-series-3-e-9", "kernel_id": "35769286"}, {"ref": "ravi20076/playgrounds3e9-extensiveeda-baseline", "kernel_id": "35540552"}, {"ref": "sujaykapadnis/s3e9-ensemble-model-duplicates-in-kfold-final", "kernel_id": "35648336"}, {"ref": "daltondencklau/ps3-ep9-eda-baseline-models", "kernel_id": "35521793"}, {"ref": "peridon/ps-s3e9-simple-blend-to-top-5", "kernel_id": "35827269"}, {"ref": "amrelsayeh/pgs-s3e9-xgboost", "kernel_id": "35551289"}, {"ref": "klyushnik/episode-9", "kernel_id": "35580281"}, {"ref": "klyushnik/episode-9-fast-start", "kernel_id": "35547612"}, {"ref": "demko1/s3e9-using-features-based-on-linearregression", "kernel_id": "35876985"}, {"ref": "chongjiaxu/concrete-strength", "kernel_id": "35520848"}, {"ref": "ashtcoder/pg-s3-e9-ensemble", "kernel_id": "35762218"}, {"ref": "adityaparikh668/xgb-beginner-solution", "kernel_id": "35580858"}, {"ref": "peterreid/concrete-strength-predictor", "kernel_id": "35551514"}, {"ref": "burhanuddinlatsaheb/s3-e9-eda-optuna-lgbm-xgb", "kernel_id": "35520795"}, {"ref": "miseregin/concrete", "kernel_id": "35821603"}, {"ref": "rustam1488/s3e9-ens-model", "kernel_id": "35887566"}, {"ref": "sanandachowdhury/playground-series-s3e9-ensemble-xgb-cat-lgbm", "kernel_id": "35832661"}, {"ref": "sanandachowdhury/ps3e9-eda-and-gbdt-catboost-median-duplicatedata", "kernel_id": "35840365"}, {"ref": "sanandachowdhury/ps-s3-e9-ensemble-model", "kernel_id": "35780000"}, {"ref": "qiaoningchen/concretestrength-s3p9-ml-feature-engineering", "kernel_id": "35540185"}, {"ref": "sudhanshuchaturvedi/playground-series-s3-e9", "kernel_id": "35536714"}, {"ref": "andrusha95/ps-s3e9-ipynb", "kernel_id": "35572790"}, {"ref": "sahilkumar101/ps3e9", "kernel_id": "35642631"}, {"ref": "ryotapy/eda-submission-lgb-xgb-cat-cb-score11-8134", "kernel_id": "35573730"}, {"ref": "abdokhattab/playground-strength-prediction", "kernel_id": "35928046"}, {"ref": "thedwong/s3e9-five-baseline-models", "kernel_id": "35595365"}, {"ref": "denismunene/concrete-strength-prediction", "kernel_id": "35871929"}, {"ref": "pranavkannepalli/cementstrengthprediction", "kernel_id": "35754091"}, {"ref": "saniyatlamim007/sklearn-boost-w-feature-engineering", "kernel_id": "35605481"}, {"ref": "kenjif/pss3e9-0227-cross-validation", "kernel_id": "35522386"}, {"ref": "kenjif/pss3e9-0228-lgbmregressor", "kernel_id": "35559008"}, {"ref": "kenjif/pss3e9-0228-auto-ml-gbr", "kernel_id": "35559582"}, {"ref": "kenjif/pss3e9-0305-randomforestregressor", "kernel_id": "35717052"}, {"ref": "kenjif/pss3e9-0304-decisiontreeregressor", "kernel_id": "35687559"}, {"ref": "rupeshmahanty/playground-series-s3e9", "kernel_id": "35710710"}, {"ref": "takahironamatame/playground-series-s3-e9-baseline-model-xgboost", "kernel_id": "35616622"}, {"ref": "swagatobhaskar/cement-strength-pgseries-s3-e9", "kernel_id": "35545280"}, {"ref": "mattop/playground-series-s3-e9-eda-tsne-pca", "kernel_id": "35517589"}, {"ref": "sharathchandraguptha/strength-of-concrete", "kernel_id": "35962901"}, {"ref": "lizhecheng/s3e9-simple-gbr-strength-prediction", "kernel_id": "35555320"}, {"ref": "alexandershumilin/ps-s3-e9-ensemble-model", "kernel_id": "35522868"}, {"ref": "finnsun/notebook6e4348b32a", "kernel_id": "35744992"}, {"ref": "alfiyafakhrutdinova/ensemble-model-bagging-stacking-voting-11-762", "kernel_id": "35854972"}, {"ref": "georger174/model-searching-automation-with-tabular-data", "kernel_id": "35700044"}, {"ref": "alexbostick/xgboost-catboost-concrete-strength", "kernel_id": "35786495"}, {"ref": "raihanzaki/playground-series-s3e9", "kernel_id": "35887772"}, {"ref": "masayakawamata/s3e9-keras", "kernel_id": "35518589"}, {"ref": "francescoliveras/ps-s3-e9-eda-model-en-es", "kernel_id": "35527449"}, {"ref": "omardonia/playground-series3-episode-9", "kernel_id": "35609054"}, {"ref": "christrandata/eda-xgboost-catboost-lgbm-optuna", "kernel_id": "35522250"}, {"ref": "adityarahul/fork-of-strength-predictor", "kernel_id": "35777010"}, {"ref": "adityarahul/strength-predictor", "kernel_id": "35747913"}, {"ref": "adityarahul/eda-xgb", "kernel_id": "35888521"}, {"ref": "fadhilmuh/pss3e9-eda-and-feature-engineering", "kernel_id": "35607795"}, {"ref": "alexandrrudinskiy/catboost-optuna", "kernel_id": "35938814"}, {"ref": "utkarshgaikwad1994/ps3e9-keras-utkarsh-gaikwad", "kernel_id": "35597367"}, {"ref": "gopimali/eda-gb-xgb-cb-lg-bayes-opt", "kernel_id": "35729351"}, {"ref": "gopimali/cat-boost-gradient-boosting-split-approach", "kernel_id": "35801204"}, {"ref": "gopimali/handling-missing-value-imputation-tech-beginner", "kernel_id": "35648111"}, {"ref": "sofiamatias/playground-s3e9", "kernel_id": "35823853"}, {"ref": "yakubsadlil/simple-21-lines-of-linear-regression", "kernel_id": "35983529"}, {"ref": "kavishchaudhary1003/playground-s3-e9", "kernel_id": "35539855"}, {"ref": "kavishchaudhary1003/playground-s3-e9-optuna-xgb-lgbm-catboost", "kernel_id": "35685405"}, {"ref": "byronjehrke/pg-s3-e9-starting-models", "kernel_id": "35583276"}, {"ref": "bvinning/s3e9-stacking-voting-with-lgbm-xgb-and-rf", "kernel_id": "35537106"}, {"ref": "timothylincoln2/s3-e9-ps-macklin-tim", "kernel_id": "35583001"}, {"ref": "ryangreiner/s3e9-initial-eda", "kernel_id": "35580784"}, {"ref": "nikoolaylovyagin/playground-series-regressor", "kernel_id": "35875257"}, {"ref": "oldjerry/boost-fusion-based-on-bayes-optimization", "kernel_id": "35705491"}, {"ref": "boyochan/ps-s3-e9-eda-lightgbm-catboost-with-optuna", "kernel_id": "35541532"}, {"ref": "moohamedelsayed/ensemble-training-xgb-catboost-model-eda", "kernel_id": "35590715"}, {"ref": "daraghthomas/concrete-stength-with-xg-boost", "kernel_id": "35991743"}, {"ref": "grantgonnerman/ps-s3-e9-eda-and-model-comparisons", "kernel_id": "35555486"}, {"ref": "ammarlokhandwala10/s3-e9-cement-strength-prediction", "kernel_id": "35725426"}, {"ref": "mliammm/fastai-horrid-but-a-submission", "kernel_id": "35780593"}, {"ref": "mnokno/concrete-strength-prediction", "kernel_id": "35532553"}, {"ref": "stefanmayer2006/playground-series-season-3-episode-9", "kernel_id": "35551680"}, {"ref": "vijayr2217019/s03e9", "kernel_id": "35598651"}, {"ref": "shreyarjun/notebookb4f18e9ebd", "kernel_id": "35945675"}, {"ref": "slumericanbx/exercise-joins-and-unions", "kernel_id": "35761138"}, {"ref": "eatbeans2/notebook9326a5936d", "kernel_id": "35712523"}, {"ref": "mpwolke/deepchecks-concrete-strength", "kernel_id": "36300450"}, {"ref": "deshram/ps-s3-e9-xgb-cgb-lgb-rf-ann", "kernel_id": "36011972"}, {"ref": "eslamfouad/playground-eda-and-model-predictions", "kernel_id": "36011843"}, {"ref": "cyberblack0/notebook155d27b3a4", "kernel_id": "36360084"}, {"ref": "seholeee/automl-mljar-regression", "kernel_id": "36097892"}, {"ref": "ahmedkhaled23/eda-and-reg", "kernel_id": "36150731"}, {"ref": "jocker3/playground-series-s3e9", "kernel_id": "36172133"}, {"ref": "issuebombom/code-review-playground-series-s3e9", "kernel_id": "36787011"}, {"ref": "sofiamatias/regression-with-ensemble-models", "kernel_id": "36011560"}, {"ref": "omargasmann/playground-s3-e9-35-solution", "kernel_id": "36113780"}, {"ref": "salahmahmoud1911/data-science-regression-project-concrete-strength", "kernel_id": "36317374"}, {"ref": "junseo/eda-pdp", "kernel_id": "37020203"}, {"ref": "datajang/cmyk-concrete-strength-regression", "kernel_id": "37175765"}, {"ref": "nikil42516/regression-with-tabular-concrete-strength-dataset", "kernel_id": "37698670"}, {"ref": "nickseader/s3e09-concrete-strength", "kernel_id": "37094889"}, {"ref": "minchaelim/code-review-playground-series-s3e9", "kernel_id": "37071293"}, {"ref": "slythe/pse3e14-1-eda-model-selection-regression", "kernel_id": "38018126"}, {"ref": "jahidul99/strength-regression", "kernel_id": "38255724"}, {"ref": "diegoasuarezg/soil-proctor-mdd-opt-moist-graphing-code", "kernel_id": "38529528"}, {"ref": "melinasingh/regression-with-tabular-concrete-strength-data", "kernel_id": "38583566"}, {"ref": "ouroborosma/colai-rlhf-step2", "kernel_id": "38803953"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "anuppainuly/concrete-strength", "kernel_id": "41804663"}, {"ref": "warriorwizard/ps3e9-concrete-strength", "kernel_id": "41956823"}, {"ref": "haadbhutta/dom-analysis-mutual-info-feedback-appreciated", "kernel_id": "42508313"}, {"ref": "bhatnagardaksh/advanced-numpy-concepts-techniques", "kernel_id": "43518999"}, {"ref": "rameshvhanamane/calculate-concrete-strength-regression", "kernel_id": "43934212"}, {"ref": "namanntc/notebookc804293935", "kernel_id": "44630639"}, {"ref": "vuppalaadithyasairam/concrete-strength-prediction-using-ml", "kernel_id": "44568620"}, {"ref": "zahid600/assignment01", "kernel_id": "46901627"}, {"ref": "shimintae/final-d-t", "kernel_id": "47376294"}, {"ref": "zulfi3436/ai-linearregression-crossvalidation-zulfiqar-ali", "kernel_id": "47482640"}, {"ref": "vambi97/ai-02313023-gmp", "kernel_id": "47495240"}, {"ref": "doninurdiansah/doni-nurdiansah-final-exam-2023-1-decision-tree", "kernel_id": "47989253"}, {"ref": "bongpower/final-test-tabular-concrete-strength", "kernel_id": "47501071"}, {"ref": "meiemes/20231220-ust-ai01-final-project", "kernel_id": "47535834"}, {"ref": "syedbilalhasanrizvi/02123032-a-i-final-project", "kernel_id": "47039114"}, {"ref": "shimintae/final-r-f", "kernel_id": "48425999"}, {"ref": "shimintae/final-elasticnet", "kernel_id": "48429843"}, {"ref": "shimintae/final-stacking", "kernel_id": "48439628"}, {"ref": "shimintae/final-gbm", "kernel_id": "48432912"}, {"ref": "shimintae/final-lgbm", "kernel_id": "48434238"}, {"ref": "shimintae/final-voting", "kernel_id": "48437996"}, {"ref": "josemoran/ai-final-elasticnet-linearregression", "kernel_id": "48370496"}, {"ref": "josemoran/stackingregressor", "kernel_id": "48496141"}, {"ref": "josemoran/lgbmregressor", "kernel_id": "48458440"}, {"ref": "josemoran/gradientboostingregressor", "kernel_id": "48455735"}, {"ref": "josemoran/randomforest-regressor", "kernel_id": "48452974"}, {"ref": "josemoran/decisiontree-regressor", "kernel_id": "48441364"}, {"ref": "barasamudrasyuhada/final-lgbmregressor", "kernel_id": "48327660"}, {"ref": "barasamudrasyuhada/final-elasticnet", "kernel_id": "48322959"}, {"ref": "barasamudrasyuhada/final-decisiontreeregressor", "kernel_id": "48316894"}, {"ref": "barasamudrasyuhada/final-gradientboosting", "kernel_id": "48317293"}, {"ref": "barasamudrasyuhada/final-randomforestregressor", "kernel_id": "48317374"}, {"ref": "barasamudrasyuhada/final-stackingregressor", "kernel_id": "48428579"}, {"ref": "zulfi3436/ai-elasticnetregression-zulfiqar-ali", "kernel_id": "48505327"}, {"ref": "zulfi3436/ai-decisiontreeregression-zulfiqar-ali", "kernel_id": "48506801"}, {"ref": "zulfi3436/ai-light-gradient-boosting-zulfiqar-ali", "kernel_id": "48436374"}, {"ref": "zulfi3436/ai-stackingmodel-zulfiqar-ali", "kernel_id": "48442553"}, {"ref": "zulfi3436/ai-gradientboostingregressor-zulfiqar-ali", "kernel_id": "48383032"}, {"ref": "zulfi3436/ai-randomforestregressor-zulfiqar-ali", "kernel_id": "48381984"}, {"ref": "parkminkyeongamypark/ai-final-stackingmodel-parkminkyeong", "kernel_id": "48263459"}, {"ref": "parkminkyeongamypark/ai-final-gradientboosting-parkminkyeong", "kernel_id": "48262307"}, {"ref": "parkminkyeongamypark/ai-final-randomforestmodel-parkminkyeong", "kernel_id": "48253256"}, {"ref": "parkminkyeongamypark/ai-final-decisiontreemodel-parkminkyeong", "kernel_id": "48252578"}, {"ref": "parkminkyeongamypark/ai-final-elasticmodel-parkminkyeong", "kernel_id": "48252493"}, {"ref": "jihuynkim/231227-02212019-kjh-final-assignment", "kernel_id": "48525388"}, {"ref": "ddsshubham/concrete-strength-prediction", "kernel_id": "48812489"}, {"ref": "duhyeonp/ustai202302finalterm-02323021-duhyeonpark", "kernel_id": "48445798"}, {"ref": "duhyeonp/ust-ai-2023-02-finalterm-02323021-duhyeonpark", "kernel_id": "48373165"}, {"ref": "duhyeonp/stacking-model", "kernel_id": "48505461"}, {"ref": "davidfernandogarzon/david-garzon-fp-decision-tree-regressor", "kernel_id": "48109316"}, {"ref": "davidfernandogarzon/david-garzon-fp-random-forest-regressor", "kernel_id": "48110050"}, {"ref": "davidfernandogarzon/david-garzon-fp-elastic-net", "kernel_id": "48110125"}, {"ref": "davidfernandogarzon/david-garzon-fp-gradient-boosting-regressor", "kernel_id": "48110192"}, {"ref": "davidfernandogarzon/david-garzon-fp-lgbm-regressor", "kernel_id": "48110242"}, {"ref": "davidfernandogarzon/david-garzon-fp-stacking", "kernel_id": "48112767"}, {"ref": "davidfernandogarzon/david-garzon-fp-final-prediction", "kernel_id": "48111297"}, {"ref": "doninurdiansah/doni-nurdiansah-final-exam-2023-4-gradient-boosti", "kernel_id": "48491504"}, {"ref": "doninurdiansah/doni-nurdiansah-final-exam-2023-5-light-gradient", "kernel_id": "48495145"}, {"ref": "doninurdiansah/doni-nurdiansah-final-exam-2023-2-random-forest", "kernel_id": "48423620"}, {"ref": "doninurdiansah/doni-nurdiansah-final-exam-2023-3-elastic-net", "kernel_id": "48440377"}, {"ref": "jamessomozabarandino/jsb-finals-ai-2023-decision-tree-model", "kernel_id": "48484035"}, {"ref": "jamessomozabarandino/jsb-finals-ai-2023-elastic-net-model", "kernel_id": "48486360"}, {"ref": "jamessomozabarandino/jsb-finals-ai-2023-gradient-boosting-model", "kernel_id": "48486041"}, {"ref": "jamessomozabarandino/jsb-finals-ai-2023-random-forest-model", "kernel_id": "48360980"}, {"ref": "malaikasada/final-term-malaika-randomforestmodel", "kernel_id": "48197873"}, {"ref": "malaikasada/ai-final-randomforestmodel", "kernel_id": "48495543"}, {"ref": "malaikasada/ai-final-eda", "kernel_id": "48492621"}, {"ref": "malaikasada/ai-final-decisiontreemodel", "kernel_id": "48493980"}, {"ref": "malaikasada/final-ai-elasticnet", "kernel_id": "48504615"}, {"ref": "malaikasada/ai-final-gradientboostingmodel", "kernel_id": "48508122"}, {"ref": "tranhungson/final-exam-gradientboostingmodel-tran-hung-son", "kernel_id": "48471180"}, {"ref": "tranhungson/final-exam-lgbm-tran-hung-son", "kernel_id": "48472129"}, {"ref": "tranhungson/final-exam-elastic-net-tran-hung-son", "kernel_id": "48469504"}, {"ref": "tranhungson/final-exam-random-forest-model-tran-hung-son", "kernel_id": "48468768"}, {"ref": "tranhungson/final-exam-decisiontreemodel-tran-hung-son", "kernel_id": "48372232"}, {"ref": "muhsinalperasar/light-gradient-boosting-model", "kernel_id": "48181871"}, {"ref": "muhsinalperasar/gradient-boosting-model", "kernel_id": "48179932"}, {"ref": "muhsinalperasar/elastic-net", "kernel_id": "48168909"}, {"ref": "muhsinalperasar/decision-tree-model", "kernel_id": "48145411"}, {"ref": "muhsinalperasar/random-forest-model", "kernel_id": "48146323"}, {"ref": "denisusosky/231227-usosky-final-project", "kernel_id": "48515913"}, {"ref": "autumn2023/tabular-concrete-all", "kernel_id": "48514338"}, {"ref": "zahid600/finalterm-eda", "kernel_id": "48199208"}, {"ref": "zahid600/finalterm-decisiontree", "kernel_id": "48204263"}, {"ref": "zahid600/finalterm-randomforest", "kernel_id": "48209180"}, {"ref": "zahid600/finalterm-gradientboostingregressor", "kernel_id": "48339133"}, {"ref": "muhammadmaraikhsan/final-exam-ai-muhammad-mara-ikhsan-random-forest", "kernel_id": "48521422"}, {"ref": "muhammadmaraikhsan/final-exam-ai-muhammad-mara-ikhsan-decision-tree", "kernel_id": "48528354"}, {"ref": "muhammadmaraikhsan/final-exam-ai-muhammad-mara-ikhsan-gbr", "kernel_id": "48530484"}, {"ref": "muhammadmaraikhsan/final-exam-ai-muhammad-mara-ikhsan-lgbm", "kernel_id": "48531015"}, {"ref": "muhammadmaraikhsan/final-exam-ai-muhammad-mara-ikhsan-eda", "kernel_id": "48531419"}, {"ref": "tongoclinh/to-ngoc-linh-final-exam-decisiontreemodel", "kernel_id": "48425503"}, {"ref": "tongoclinh/to-ngoc-linh-final-exam-randomforestmodel", "kernel_id": "48427436"}, {"ref": "tongoclinh/to-ngoc-linh-final-exam-gradientboostmodel", "kernel_id": "48427851"}, {"ref": "tongoclinh/to-ngoc-linh-final-exam-lgbm", "kernel_id": "48428118"}, {"ref": "tongoclinh/to-ngoc-linh-final-exam-elasticnet", "kernel_id": "48125927"}, {"ref": "munnibee/random-forest", "kernel_id": "48466209"}, {"ref": "munnibee/gradient-boosting", "kernel_id": "48471032"}, {"ref": "munnibee/elasticnet", "kernel_id": "48453277"}, {"ref": "munnibee/decision-tree-model", "kernel_id": "48456085"}, {"ref": "munnibee/light-gradient-boosting", "kernel_id": "48492631"}, {"ref": "munnibee/random-forest-model2", "kernel_id": "48496365"}, {"ref": "munnibee/decision-tree-model-1", "kernel_id": "48495268"}, {"ref": "munnibee/lgbm-model5", "kernel_id": "48501720"}, {"ref": "munnibee/gradient-boosting-model4", "kernel_id": "48501364"}, {"ref": "munnibee/elasticnet-model3", "kernel_id": "48500097"}, {"ref": "thihangngo/final-project", "kernel_id": "48526119"}, {"ref": "changdaekwak/ai-final-changdaekwak-elasticnet", "kernel_id": "48500593"}, {"ref": "changdaekwak/ai-final-changdaekwak-gradientboostingregressor", "kernel_id": "48501089"}, {"ref": "changdaekwak/ai-final-changdaekwak-lgbmregressor", "kernel_id": "48502600"}, {"ref": "changdaekwak/ai-final-changdaekwak-randomforestregressor", "kernel_id": "48458549"}, {"ref": "changdaekwak/ai-final-changdaekwak-decisiontreeregressor", "kernel_id": "48404690"}, {"ref": "junhofusion/final-exam", "kernel_id": "48527922"}, {"ref": "juniikim/ust-ai-02113010-5-lgbmclassifier", "kernel_id": "48513488"}, {"ref": "juniikim/ust-ai-02113010-3-elasticnet", "kernel_id": "48512072"}, {"ref": "juniikim/ust-ai-02113010-4-gradientboostingregresso", "kernel_id": "48512589"}, {"ref": "juniikim/ust-ai-02113010-2-randomforestregressor", "kernel_id": "48511241"}, {"ref": "juniikim/ust-ai-02113010-1-decisiontreeregressor", "kernel_id": "48507851"}, {"ref": "kangminhu/final-exam", "kernel_id": "48495648"}, {"ref": "myeongseokko/1-finalexam-gradientboostingmodel", "kernel_id": "48424425"}, {"ref": "myeongseokko/3-finalexam-randomforestregressor", "kernel_id": "48458204"}, {"ref": "myeongseokko/5-finalexam-lgbmregressor", "kernel_id": "48459248"}, {"ref": "myeongseokko/4-finalexam-elasticnet", "kernel_id": "48458807"}, {"ref": "myeongseokko/2-finalexam-decisiontreeregressor", "kernel_id": "48457612"}, {"ref": "kangsanlee/ai-final-project-gradiantboostingmodel", "kernel_id": "48515812"}, {"ref": "kangsanlee/ai-final-project-stacking-model", "kernel_id": "48514916"}, {"ref": "kangsanlee/ai-final-project-decisiontreemodel", "kernel_id": "48516428"}, {"ref": "kangsanlee/ai-final-project-elasticnetmodel", "kernel_id": "48517673"}, {"ref": "kangsanlee/ai-final-project-light-gradiant-boosting", "kernel_id": "48385061"}, {"ref": "hgjeong6/ustfinaltest-02312002-jhg", "kernel_id": "48154406"}, {"ref": "nayakim/231227-finalterm", "kernel_id": "48523192"}, {"ref": "minahahah/ai-final-exam", "kernel_id": "48371546"}, {"ref": "userbitco/s3ep9-concrete-strength", "kernel_id": "49432079"}, {"ref": "legosy7/concrete-strength-regresion-using-xgboost-model", "kernel_id": "49649067"}, {"ref": "bigddang/c6-gem", "kernel_id": "49299498"}, {"ref": "bigddang/reverse-prediction", "kernel_id": "49369379"}, {"ref": "chhavideora11/notebook52d4c67ea5", "kernel_id": "49898493"}, {"ref": "mannatpruthi/regression-with-a-tabular-concrete-strength-datase", "kernel_id": "50974189"}, {"ref": "akashdeepkataria/regression-with-a-tabular-concrete-strength-datase", "kernel_id": "50786970"}, {"ref": "ashnaarora/regression-with-tabular-concrete-strength-dataset", "kernel_id": "50975361"}, {"ref": "amanaayush/regressiontabularconcretestrength-49", "kernel_id": "50520857"}, {"ref": "drishtiagarwal20/regression-with-tabular-concrete-strength-dataset", "kernel_id": "50856783"}, {"ref": "kunal025/regression-with-a-tabular-concrete-strength-datase", "kernel_id": "50999176"}, {"ref": "akulvaishnavi/final-ai-elasticnet-understanding", "kernel_id": "50114236"}, {"ref": "ashish32700/regression-with-a-tabular-concrete-strength-datase", "kernel_id": "50829559"}, {"ref": "sehajbirsinghbains/regression-with-a-tabular-concrete-dataset", "kernel_id": "50777673"}, {"ref": "hrshpreet/random-forest-by-hp", "kernel_id": "50784392"}, {"ref": "abhinavvvvvvvvvv/tabular-concrete-strength-dataset", "kernel_id": "51160557"}, {"ref": "ishaangaba17/linear-regression-easy-soln", "kernel_id": "51082638"}, {"ref": "iyasha/regression-with-tabular-concrete-strength-dataset", "kernel_id": "51067054"}, {"ref": "ujjvalvashisht/notebook70c1629096", "kernel_id": "51532971"}, {"ref": "ashnaarora251/regression-with-tabular-concrete-strength-dataset", "kernel_id": "51071408"}, {"ref": "cdr0101/regression-concrete-strength", "kernel_id": "53970279"}, {"ref": "thirupatireddy/concrete-strength-prediction", "kernel_id": "60063158"}, {"ref": "zainabelsayedtaha/concrete-compressive-strength", "kernel_id": "65683548"}, {"ref": "viktor1606/regression-strength", "kernel_id": "129759413"}, {"ref": "viktor1606/regression-with-a-tabular-concrete-strength", "kernel_id": "129670390"}]}
{"competition_id": "45895", "kernels": []}
{"competition_id": "45909", "kernels": [{"ref": "bcruise/water-quality-simple-eda-baseline", "kernel_id": "34326565"}, {"ref": "bcruise/water-quality-adversarial-validation", "kernel_id": "34345882"}, {"ref": "docxian/water-quality-autogluon", "kernel_id": "34344838"}, {"ref": "docxian/water-quality-first-steps", "kernel_id": "34342683"}, {"ref": "vijayendrad/water-quality-prediction", "kernel_id": "34671896"}, {"ref": "desalegngeb/water-quality-prediction-automl-s", "kernel_id": "34367210"}, {"ref": "bachaboos/rmsle", "kernel_id": "34388619"}, {"ref": "samuelcortinhas/water-quality-prediction", "kernel_id": "34437873"}, {"ref": "seandokko/baseline-initial-baseline-for-dirty-water", "kernel_id": "34387247"}, {"ref": "seandokko/initial-baseline-for-dirty-waters", "kernel_id": "34387212"}, {"ref": "irvifa/water-quality-prediction", "kernel_id": "35894840"}, {"ref": "pawebiegun/water-quality", "kernel_id": "35670189"}, {"ref": "thomasdubail/water-quality-prediction-xgb-k-fold", "kernel_id": "35286121"}, {"ref": "aneesh10/rf-optuna-hyperparameter-tuning", "kernel_id": "35333269"}, {"ref": "samfouad/ml-olympiad-water-quality-prediction-eda", "kernel_id": "43384378"}]}
{"competition_id": "45910", "kernels": []}
{"competition_id": "45917", "kernels": [{"ref": "satyaprakashshukl/diffuser-hugging-face", "kernel_id": "29935394"}, {"ref": "burhanuddinlatsaheb/text-to-image-generation-stable-diffusion", "kernel_id": "30483372"}, {"ref": "inversion/stable-diffusion-sample-submission", "kernel_id": "34943353"}, {"ref": "inversion/calculating-stable-diffusion-prompt-embeddings", "kernel_id": "34880685"}, {"ref": "inversion/sd-infinite-loop", "kernel_id": "35208973"}, {"ref": "wagnerikeda/diffusiondb-eda", "kernel_id": "35466474"}, {"ref": "nasuka/lb-0-30612-vit-gpt2-image-captioning-baseline", "kernel_id": "35049385"}, {"ref": "mayukh18/ofa-transformer-lb-0-42644", "kernel_id": "35149718"}, {"ref": "safavieh/sdip-generating-training-data", "kernel_id": "35061563"}, {"ref": "finlay/stable-diffusion-vit-baseline-inference-with-tta", "kernel_id": "35973974"}, {"ref": "narek1110/train-starter-code-for-blip-no-validation", "kernel_id": "35109529"}, {"ref": "skt7shivam/eda-original-v-s-generated-prompts", "kernel_id": "35577267"}, {"ref": "skt7shivam/cos-sim-of-corresponding-embeddings-from-two-lists", "kernel_id": "35472308"}, {"ref": "skt7shivam/batch-run-blip-clip-interrogator", "kernel_id": "35910783"}, {"ref": "evilpsycho42/diffusion-infinite-loop-semantic-convergence", "kernel_id": "35435268"}, {"ref": "vkoriukina/baseline-w-vit-gpt2-no-out-of-ram-memory-error", "kernel_id": "35247553"}, {"ref": "ihelon/image2prompts-eda-ensembling", "kernel_id": "35045384"}, {"ref": "sushant097/text-to-image-generation-stable-diffusion", "kernel_id": "35520810"}, {"ref": "tanreinama/direct-backward-to-prompt-tokens", "kernel_id": "35095637"}, {"ref": "tanreinama/image-caption-models-from-huggingface-hub", "kernel_id": "35481065"}, {"ref": "neos960518/blip-large-training-inference", "kernel_id": "35835486"}, {"ref": "neos960518/blip-large-training", "kernel_id": "35838551"}, {"ref": "neos960518/sdip-ensemble-public-notebook-cv-lb", "kernel_id": "35769335"}, {"ref": "neos960518/cv-ofa-transformer-lb-0-42598", "kernel_id": "35769373"}, {"ref": "neos960518/clip-interrogator-ofa", "kernel_id": "35719515"}, {"ref": "neos960518/stable-diffusion-vit-baseline-inference", "kernel_id": "35962537"}, {"ref": "neos960518/stable-diffusion-vit-baseline-train", "kernel_id": "35963017"}, {"ref": "dschettler8845/sd-img2text-eda-w-diffusiondb-2m-and-baseline", "kernel_id": "35115421"}, {"ref": "kimtaehun/prompt-generator-image-generator-for-dataset", "kernel_id": "35056590"}, {"ref": "ipythonx/kerascv-stable-diffusion-on-gpu-s-tpu-vm", "kernel_id": "35628092"}, {"ref": "ipythonx/keras-stable-diffusion-image-to-prompts-tpu-vm", "kernel_id": "35981266"}, {"ref": "bsmit1659/reinforcement-learning-through-self-feedback", "kernel_id": "35824741"}, {"ref": "herbison/stablediffusion-v2-0-jax-with-tpu-vm", "kernel_id": "35585289"}, {"ref": "ayuraj/sd-2-0-download-dataset-from-w-b-artifacts", "kernel_id": "35575755"}, {"ref": "yawata/post-processing-adding-modifiers", "kernel_id": "35110492"}, {"ref": "stpeteishii/text-to-image-generation-by-stable-diffusion", "kernel_id": "35221429"}, {"ref": "stpeteishii/stable-diffusion-yolov8-image-to-text", "kernel_id": "35263648"}, {"ref": "stpeteishii/calculated-prompt-embeddings-values-visualize", "kernel_id": "35259476"}, {"ref": "gunesevitan/stable-diffusion-image-to-prompts-inference", "kernel_id": "35799720"}, {"ref": "mvvppp/sd2-gpt2-prompt-image-gen-dataset-creation", "kernel_id": "35045653"}, {"ref": "mvvppp/image-2-text-revealing-the-prompts-eda", "kernel_id": "35043671"}, {"ref": "mpwolke/phil-at-a-donut-shop-d-i-n-n-i-n-g", "kernel_id": "35044924"}, {"ref": "mpwolke/kaggle-bot-asking-for-upvotes", "kernel_id": "35443011"}, {"ref": "marchworks/try-using-sd2-to-get-the-embedding", "kernel_id": "35551263"}, {"ref": "pavan9065/explore-stable-diffusion-image-to-prompts", "kernel_id": "35525532"}, {"ref": "arkacze/pytorch-blip-training", "kernel_id": "35145482"}, {"ref": "wuwenmin/failed-to-reproduce-kaggle-dataset", "kernel_id": "35571874"}, {"ref": "andradaolteanu/img2text-image-generator-using-diffusers", "kernel_id": "35131798"}, {"ref": "hideyukizushi/tips-clone-huggingface-huge-files", "kernel_id": "35518540"}, {"ref": "hideyukizushi/sdv2-infv2-clip-vit-g-14-laion2b-s12b-b", "kernel_id": "35542241"}, {"ref": "alicemkarde/prompt-generator", "kernel_id": "35167738"}, {"ref": "leonidkulyk/train-infer-mega-pack-wav2vec2-whisper-qlora", "kernel_id": "35344029"}, {"ref": "leonidkulyk/img2prompt-eda-problem-investigation", "kernel_id": "35046170"}, {"ref": "leonidkulyk/lb-0-42118-laion-s-coca-vit-openclip", "kernel_id": "35056995"}, {"ref": "leonidkulyk/magicpromt-1m-prompts-generation-pipeline", "kernel_id": "35182936"}, {"ref": "leonidkulyk/lb-0-45836-blip-clip-clip-interrogator", "kernel_id": "35162840"}, {"ref": "olegkomenchuk/eda-stable-diffusion-image-to-prompts", "kernel_id": "35055248"}, {"ref": "umongsain/base-line-image-captioning-model-lb-0-30590", "kernel_id": "35307481"}, {"ref": "ridwanultanvir/image2prompts-blip-training-modifier", "kernel_id": "35284260"}, {"ref": "debarshichanda/pytorch-blip-training", "kernel_id": "35124271"}, {"ref": "bibanh/blip-0-40057-baseline-blip-large-pretrained", "kernel_id": "35049862"}, {"ref": "leolu1998/how-to-calculate-your-cv", "kernel_id": "35065785"}, {"ref": "leolu1998/stable-diffusion-vqa-baseline", "kernel_id": "35052425"}, {"ref": "arstimgames/blip-model1", "kernel_id": "35109436"}, {"ref": "jatinnainani/img2prompt-coca-openclip", "kernel_id": "35127142"}, {"ref": "vad13irt/language-models-pre-training", "kernel_id": "35258341"}, {"ref": "edgarolivares/model-comparison-openclip-vs-vit-gpt2", "kernel_id": "35176469"}, {"ref": "dylanliuofficial/text-to-image-generation-by-stable-diffusi", "kernel_id": "35793640"}, {"ref": "mushfirat/coca-captioner-convnextxlarge", "kernel_id": "35549461"}, {"ref": "asimple/eda-stable-diffusion", "kernel_id": "35057289"}, {"ref": "andir16/example-implementation-of-stable-diffusion-2", "kernel_id": "35271197"}, {"ref": "andir16/eda-stable-diffusion-image-to-prompts", "kernel_id": "35076630"}, {"ref": "yaswanthgali/exploring-sd", "kernel_id": "35194464"}, {"ref": "motono0223/stablediffusion-v2-0-jax-with-tpu", "kernel_id": "35537159"}, {"ref": "motono0223/sdip-example-exec-stable-diffusion-2", "kernel_id": "35465838"}, {"ref": "motono0223/diffusiondb-metadata-timestamp", "kernel_id": "35473590"}, {"ref": "motono0223/sdip-ensemble-public-notebook-cv-lb", "kernel_id": "35700870"}, {"ref": "motono0223/cv-0-56624-lb-0-4937-clip-interrogator-ofa", "kernel_id": "35701154"}, {"ref": "motono0223/sdip-generate-prompt-embeddings-validation-data", "kernel_id": "35673220"}, {"ref": "motono0223/cv-lb-0-45836-blip-clip-clip-interr", "kernel_id": "35673535"}, {"ref": "motono0223/cv-image2prompts-eda-ensembling", "kernel_id": "35675090"}, {"ref": "motono0223/cv-ofa-transformer-lb-0-42598", "kernel_id": "35676581"}, {"ref": "motono0223/cv-sdip-blip2-baseline-public", "kernel_id": "35675990"}, {"ref": "motono0223/sdip-public-notebook-cv-lb", "kernel_id": "35676909"}, {"ref": "motono0223/sdip-example-exec-stable-diffusion-2-specifiedgpu", "kernel_id": "35813706"}, {"ref": "satyaprakashshukl/vit-gpt2-image-captioning", "kernel_id": "35067441"}, {"ref": "olivierratenon/vit-gpt2-image-captioning-02-2023", "kernel_id": "35282385"}, {"ref": "prothomeshmistry/notebookf11786b82e", "kernel_id": "35461103"}, {"ref": "sandeepmnair/laion2b-en-aesthetic-prompts-dataset", "kernel_id": "35734894"}, {"ref": "ksork6s4/sdip-blip2-baseline-public", "kernel_id": "35499402"}, {"ref": "assiathabet/nlp-eda-data-analysis-and-competition-intro", "kernel_id": "35109577"}, {"ref": "sabahesaraki/text-to-image-generation-stable-diffusion", "kernel_id": "35416476"}, {"ref": "robber19/data-generation", "kernel_id": "35405769"}, {"ref": "saniyatlamim007/team-x-squad-i2p", "kernel_id": "35665181"}, {"ref": "thedevastator/blip-large-training-inference", "kernel_id": "35146765"}, {"ref": "umesalma/lb-0-42118-laion-s-coca-vit-openclip", "kernel_id": "35651177"}, {"ref": "programmaticart/pytorch-inference", "kernel_id": "35080259"}, {"ref": "bacharacherif/generative-text-image-model-stable", "kernel_id": "35611056"}, {"ref": "bacharacherif/stable-diffusion-image-to-prompts", "kernel_id": "35939221"}, {"ref": "ppujari/stable-diffusion-image-to-prompts", "kernel_id": "36987566"}, {"ref": "chandanverma/make-inference-1-6x-faster-with-torch-tensorrt", "kernel_id": "36130430"}, {"ref": "chandanverma/lb-0-49421-in-10-mins-with-efficientnet-b3", "kernel_id": "36183142"}, {"ref": "xiaozhouwang/model-training-script", "kernel_id": "36629395"}, {"ref": "xiaozhouwang/hard-coded-prompt-generator", "kernel_id": "36630539"}, {"ref": "opanichev/average-embeddings-from-diffusiondb", "kernel_id": "36156664"}, {"ref": "opanichev/baseline-hacking-universal-prompt", "kernel_id": "36121389"}, {"ref": "safavieh/chatgpt-generated-prompts", "kernel_id": "36299078"}, {"ref": "finlay/stable-diffusion-diffusiondb-to-vector", "kernel_id": "36061756"}, {"ref": "finlay/clean-diffusiondb-and-save-target", "kernel_id": "36024081"}, {"ref": "seshurajup/stable-diffusion-clusters-lets-probe-the-lb", "kernel_id": "36417325"}, {"ref": "seshurajup/segment-anything", "kernel_id": "36948697"}, {"ref": "tyeestudio/random-baseline-and-cosine-similarity-score", "kernel_id": "36889945"}, {"ref": "tanreinama/style-extract-from-vgg-clip-object-extract", "kernel_id": "36874671"}, {"ref": "neos960518/stable-diffusion-vit-ensemble-inference", "kernel_id": "36015528"}, {"ref": "neos960518/clipinterrogator-ofa-vit", "kernel_id": "36306384"}, {"ref": "neos960518/coca-clip-and-blip-clip", "kernel_id": "36306385"}, {"ref": "neos960518/clipinterrogator-vit", "kernel_id": "36846743"}, {"ref": "ipythonx/keras-blip-large-pretrained-image-to-prompts", "kernel_id": "36948666"}, {"ref": "stpeteishii/diffusion-source-images-view-prompts", "kernel_id": "36791092"}, {"ref": "stpeteishii/diffusion-images-dino-vision-transformer", "kernel_id": "36951659"}, {"ref": "gerwynng/quick-submit-trick", "kernel_id": "36246090"}, {"ref": "sapeksh/ensemble-clip-ofa-vit", "kernel_id": "36539491"}, {"ref": "danpresil1/segment-anything-model-sam-prompt-examples", "kernel_id": "36956930"}, {"ref": "ksmcg90/diffusiondb-language-filtering", "kernel_id": "36451576"}, {"ref": "h1astro/diffusiondb-data-cleansing", "kernel_id": "36089719"}, {"ref": "alejopaullier/introduction-to-transformers", "kernel_id": "36080159"}, {"ref": "alejopaullier/detecting-noise-in-text-encoders", "kernel_id": "36071020"}, {"ref": "vlomme/coca-clip-and-blip-clip", "kernel_id": "36201658"}, {"ref": "hchen549/stable-diffusion-vit-baseline-train-3c5a34", "kernel_id": "36126999"}, {"ref": "yitaoyu/seqgeneration-training-pipline", "kernel_id": "36804211"}, {"ref": "yitaoyu/vitgpt-exploration", "kernel_id": "36407163"}, {"ref": "yitaoyu/stable-diffusion-vit-baseline-train", "kernel_id": "36361787"}, {"ref": "yitaoyu/vitgpt-baseline", "kernel_id": "36412224"}, {"ref": "yitaoyu/vit-regressor", "kernel_id": "36537851"}, {"ref": "camilahwang/model-training-script", "kernel_id": "36810118"}, {"ref": "nayakroshan/stable-diffusion-swin-transformer", "kernel_id": "36192788"}, {"ref": "pe4eniks/train-vit-hypernet", "kernel_id": "36104244"}, {"ref": "pe4eniks/inference-vit-hypernet", "kernel_id": "36055750"}, {"ref": "pe4eniks/train-levit-efficientformer", "kernel_id": "36239046"}, {"ref": "pe4eniks/inference-coca-blip-levit-efficientformer", "kernel_id": "36241216"}, {"ref": "pe4eniks/patch-vqa", "kernel_id": "36545244"}, {"ref": "lonelvino/ensemble-clip-ofa-vit-larger", "kernel_id": "36948430"}, {"ref": "tomokihirose/use-vector-search-for-diffusion-db-cleansing", "kernel_id": "36695566"}, {"ref": "lenferdetroud/stable-diffusion-image-to-prompts-ver1", "kernel_id": "36847877"}, {"ref": "rajkumarl/customized-image-generation-from-prompts", "kernel_id": "36573136"}, {"ref": "dolphin15/stable-diffusion-vit-baseline-inference-tta", "kernel_id": "36032221"}, {"ref": "kingjohnson/diffusiondb-data-cleansing", "kernel_id": "36063181"}, {"ref": "millerrfu/stable-diffusion-vit-baseline-train", "kernel_id": "36057294"}, {"ref": "millerrfu/stable-diffusion-vit-baseline-inference-tta", "kernel_id": "36089584"}, {"ref": "maverickss26/lb-0-55161-clipinterrogator-ofa-vit", "kernel_id": "36620376"}, {"ref": "josephwei/clip-with-vit", "kernel_id": "36502276"}, {"ref": "mengmouren/stable-diffusion-diffusiondb-to-vector", "kernel_id": "36426885"}, {"ref": "louaybennessir/fork-of-fork-of-diffusion-backbone", "kernel_id": "36249675"}, {"ref": "motono0223/laion-vit-h-14-model", "kernel_id": "36464662"}, {"ref": "motono0223/clipinterrogator-ofa-vit", "kernel_id": "36250593"}, {"ref": "minfuka/diffusiondb-data-224x224pixel-image-01", "kernel_id": "36264087"}, {"ref": "siyuchenrun/diffusiondb-data-cleansing", "kernel_id": "36238304"}, {"ref": "qiexifan/huggingface-accelerate-learn-beyond-laion2b-brute", "kernel_id": "36969765"}, {"ref": "lupin11/lb-0-55543-clipinterrogator-ofa-vit", "kernel_id": "36464473"}, {"ref": "sabahesaraki/img2prompt-openai-s-clip", "kernel_id": "36123974"}, {"ref": "jesherjoshua/coca-clip-and-blip-clip", "kernel_id": "36770462"}, {"ref": "jesherjoshua/lb-0-53917-clipinterrogator-vit", "kernel_id": "36771498"}, {"ref": "jesherjoshua/only-clip-interrogator", "kernel_id": "36763216"}, {"ref": "minar44/diffusiondb-2m-resize224", "kernel_id": "36211569"}, {"ref": "mewmlelswm/sentencetransformer-inference", "kernel_id": "36268700"}, {"ref": "mrsixalex/vit-gpt2", "kernel_id": "36966379"}, {"ref": "kaizen97/understanding-data", "kernel_id": "36749438"}, {"ref": "bacharacherif/inference-prompt2image-diffusion-stable", "kernel_id": "36244292"}, {"ref": "wanggaoyang/stable-diffusion-vit-baseline-train", "kernel_id": "36088539"}, {"ref": "erwinyuhong/use-vector-search-for-diffusion-db-cleansing", "kernel_id": "36792047"}, {"ref": "ppujari/using-pretrained-weights-blip2", "kernel_id": "37345030"}, {"ref": "arli2016/kandinsky-remix", "kernel_id": "37301897"}, {"ref": "neos960518/ensemble-clipinterrogator-ofa-vit", "kernel_id": "37822553"}, {"ref": "neos960518/sdip-clip-knnregression-zeroshot-method", "kernel_id": "37806385"}, {"ref": "pragyanbo/clip-by-openai-explained", "kernel_id": "37454620"}, {"ref": "utsav1234/stable-diffussion", "kernel_id": "37561781"}, {"ref": "huangjingstark/stable-prompt-inference-swin-large", "kernel_id": "37033695"}, {"ref": "joonmoahn/generate-prompt-vit-gpt2-img-captioning", "kernel_id": "37658447"}, {"ref": "camilahwang/stable-diffusion-vit-baseline-train", "kernel_id": "37394793"}, {"ref": "juntaojiang/lb-0-54226-clipinterrogator-vitlarge", "kernel_id": "37022976"}, {"ref": "lenferdetroud/stable-diffusion-image-to-prompts-ver2", "kernel_id": "37068256"}, {"ref": "maverickss26/lb-0-5441-clipinterrogator-vitlarge", "kernel_id": "37055447"}, {"ref": "maverickss26/lb-0-55962-clipinterrogator-ofa-vit", "kernel_id": "37816403"}, {"ref": "parikshitsharma2001/lb-0-55161-clipinterrogator-ofa-vit", "kernel_id": "37583510"}, {"ref": "motono0223/sdip-clip-knnregression-zeroshot-method", "kernel_id": "37780498"}, {"ref": "greenfruit2/ensemble-clip-ofa-vit-copy", "kernel_id": "37432327"}, {"ref": "ashtcoder/stable-diffusion-reversed-knn-sdip-clip", "kernel_id": "37608558"}, {"ref": "sandeepmnair/how-does-openai-clip-processor-work", "kernel_id": "37469932"}, {"ref": "iambestfeeder/test-7-3-clipinterrogator-vitlarge", "kernel_id": "37638178"}, {"ref": "fanchuan/stable-diffusion-vit-baseline-train", "kernel_id": "37598354"}, {"ref": "sdu2014brz/randommethod0426", "kernel_id": "37760630"}, {"ref": "lhllmlt/clipinterrogator-ofa-vit-lb0-568", "kernel_id": "37289264"}, {"ref": "lhllmlt/sdip-clip-knnregression-zeroshot-method", "kernel_id": "37802552"}, {"ref": "ahndonghoon/fork-of-fork-of-img2prompt", "kernel_id": "37973945"}, {"ref": "dustinober/images-to-prompt", "kernel_id": "37628764"}, {"ref": "haoxuanshan/prompt-filiter", "kernel_id": "37975552"}, {"ref": "bolmas/modified-by-vit-baseline-train", "kernel_id": "37003067"}, {"ref": "tangmengcheng/dataset-to-local-zip1", "kernel_id": "37982779"}, {"ref": "ayaanjang/stable-diffusion-vit-baseline-train", "kernel_id": "37498281"}, {"ref": "wanggaoyang/ensemble-clip-ofa-vit-larger", "kernel_id": "37325668"}, {"ref": "samfouad/predict-student-performance-eda-and-mlm", "kernel_id": "37009413"}, {"ref": "kevinbroemb/use-vector-search-for-diffusion-db-cleansing", "kernel_id": "37891956"}, {"ref": "huangjingsmu/train", "kernel_id": "37857453"}, {"ref": "rturley/custom-prompt-generator-for-image-generation", "kernel_id": "38579666"}, {"ref": "rturley/tour-of-stable-diffusion-custom-prompt-dataset", "kernel_id": "38583978"}, {"ref": "bestfitting/en-3models-vit-blip-convnext-notebook", "kernel_id": "38875764"}, {"ref": "linykc/text-to-image-generation-stable-diffusion", "kernel_id": "38866552"}, {"ref": "dlobatog/sd-image-to-text", "kernel_id": "38272349"}, {"ref": "xfffrank/36th-place-sd-clip-knn-vit-interrogator", "kernel_id": "38307644"}, {"ref": "sokazaki/sdip-6th-place-submission", "kernel_id": "38575016"}, {"ref": "neos960518/clipinterrogator-ofa-vit-lb0-55", "kernel_id": "38120973"}, {"ref": "neos960518/laion-vit-h-14-model", "kernel_id": "38073762"}, {"ref": "vinitkp/r-stable-diffusion", "kernel_id": "38098946"}, {"ref": "stpeteishii/news-to-image-generation-by-stable-diffusion", "kernel_id": "38841086"}, {"ref": "gerwynng/sd-itp-4th-place-solution", "kernel_id": "38791673"}, {"ref": "gerwynng/sdi2p-text-preprocessing", "kernel_id": "38485027"}, {"ref": "gerwynng/estimate-image-stats", "kernel_id": "38484763"}, {"ref": "sapeksh/fhm-clip", "kernel_id": "38177634"}, {"ref": "sai11fkaneko/3rd-place-solution", "kernel_id": "38958202"}, {"ref": "haidermasood/clip-knnregression-vit", "kernel_id": "38156761"}, {"ref": "zwehtetpaing123/image-to-prompts-clipinterrogator-ofa-vit", "kernel_id": "38254709"}, {"ref": "zwehtetpaing123/image-to-prompt-sdip-clip-knnregression-clip-vit", "kernel_id": "38298209"}, {"ref": "kwkdhueda/torch-vit-st-make-submission", "kernel_id": "38555514"}, {"ref": "seonokrkim/1-background-clip-interrogator-ofa-vit", "kernel_id": "38188889"}, {"ref": "seonokrkim/clip-interrogator-ofa-vit-explained", "kernel_id": "38043711"}, {"ref": "suraj520/pytorch-image2prompt-prompt2encoding-384dim", "kernel_id": "38049016"}, {"ref": "suraj520/basic-implementation-resnet-with-linear-layer", "kernel_id": "38010465"}, {"ref": "sajit08/stablediffusion-v2", "kernel_id": "38238248"}, {"ref": "sajit08/stable-difusion-v1", "kernel_id": "38203953"}, {"ref": "qiexifan/huggingface-transformers-4292-versioning-last-500k", "kernel_id": "38688820"}, {"ref": "qiexifan/huggingface-transformers-4274-versioning-last-500k", "kernel_id": "38720428"}, {"ref": "lupin11/automatically-set-weights", "kernel_id": "38436038"}, {"ref": "lhllmlt/read-sdip-clip-knnregression", "kernel_id": "38139359"}, {"ref": "lhllmlt/sdip-clip-knnregression-clip-vit", "kernel_id": "38044559"}, {"ref": "mauriciocalderonb/sdip-clip-knnregression-beitv2-vit", "kernel_id": "38241848"}, {"ref": "holmes0610/stable-diffusion-inference", "kernel_id": "38391028"}, {"ref": "vibhorsharma111/sdi2p-openclip-coca-vit-simple-explanation", "kernel_id": "38631010"}, {"ref": "mlgzackfly/stable-diffusion-embedding-all-images-save-db-csv", "kernel_id": "38194216"}, {"ref": "mewmlelswm/clipinterrogator-vit-gpt", "kernel_id": "38179745"}, {"ref": "mewmlelswm/use-vector-search-for-diffusion-db-cleansing", "kernel_id": "38441762"}, {"ref": "saikiran7135/stable-defusion-sinopsis-maker", "kernel_id": "38182368"}, {"ref": "tangmengcheng/dataset-to-local-zip2", "kernel_id": "38011845"}, {"ref": "knjcode/kydrt-5th-place-submission", "kernel_id": "39176347"}, {"ref": "wackeldackel/evaluate-models-to-stable-diffusion-and-dalle", "kernel_id": "39187662"}, {"ref": "podcastprereamea/image-to-prompt", "kernel_id": "39382926"}, {"ref": "praffulvarshney/notebookd7f855e47a", "kernel_id": "40242617"}, {"ref": "praffulvarshney/notebook2104a36173", "kernel_id": "40276334"}, {"ref": "prathamkeshatwar/notebook5ca09a0398", "kernel_id": "40253851"}, {"ref": "amanydv2112/stable-diffusion-image", "kernel_id": "40259037"}, {"ref": "omarrkhaled95940/in-the-art-of-generative-ai", "kernel_id": "40598353"}, {"ref": "ad1chd/dystopian-i2p", "kernel_id": "40167150"}, {"ref": "spathak21/git-model-for-image-captioning", "kernel_id": "40240554"}, {"ref": "tonymarkchris/stable-diffusion-clip-train-mixgen", "kernel_id": "41947057"}, {"ref": "iambestfeeder/sdip-blip2-baseline-public", "kernel_id": "41845471"}, {"ref": "adityaraj01/segment-anything-model-sam", "kernel_id": "41430536"}, {"ref": "dinamamdouh/segment-anything-model-sam-prompt-examples", "kernel_id": "41107030"}, {"ref": "tonymarkchris/sd2-img2prompt-final-ensemble", "kernel_id": "42104888"}, {"ref": "jijivski/salesforce-lavis-blip-pretrained", "kernel_id": "42085459"}, {"ref": "jyotidabas/segment-anything-model-sam-prompt-examples", "kernel_id": "42897330"}, {"ref": "yaaangzhou/learning-llm-finetune-with-lora", "kernel_id": "42798912"}, {"ref": "iambestfeeddddd/sdip-blip2-baseline-public", "kernel_id": "42131007"}, {"ref": "akshatgupta2810/blip-large-inference", "kernel_id": "43479724"}, {"ref": "chankhavu/hf-optimum", "kernel_id": "43346743"}, {"ref": "kurshakuz/calculating-stable-diffusion-prompt-embeddings", "kernel_id": "46642644"}, {"ref": "jojoyear/sd2prompt-final", "kernel_id": "46023205"}, {"ref": "lanzhelin/sd2prompt-final", "kernel_id": "46199477"}, {"ref": "lokanadam/text-to-image-generation-stable-diffusion", "kernel_id": "47637620"}, {"ref": "zxl2022/stable-diffusion-vit-ensemble-inference", "kernel_id": "47127728"}, {"ref": "zxl2022/en-3models-vit-blip-convnext-notebook", "kernel_id": "47124863"}, {"ref": "jiangyvhang/robot-instractions-embadding", "kernel_id": "47703562"}, {"ref": "qi7axu/en-3models-vit-blip-convnext-notebook", "kernel_id": "47157450"}, {"ref": "maixuanduy/pytorch-blip-training", "kernel_id": "47904937"}, {"ref": "praveen27052311/training-and-saving-weights", "kernel_id": "47332030"}, {"ref": "w2yoon/clipinterrogator-ofa-vit-large", "kernel_id": "48864897"}, {"ref": "charlesanjah/text-to-image-generation-stable-diffusion", "kernel_id": "49550906"}, {"ref": "snehasibichangeorge/stable-diffusion-1", "kernel_id": "52846090"}, {"ref": "snehasibichangeorge/stable-diffusion", "kernel_id": "52595069"}, {"ref": "amitkumarjaiswal/fork-of-gpt2-data-generation", "kernel_id": "53634678"}, {"ref": "christofel04/advanced-image-caption-generator-with-stable-diff", "kernel_id": "53861154"}, {"ref": "jonathandoanephd/multimodal-image-analysis-ofa-ci-vit-ensemble-opt", "kernel_id": "53094805"}, {"ref": "zhuyujie4567/segmentfor", "kernel_id": "53458008"}, {"ref": "zhuzhu1101/segmentfor", "kernel_id": "53458680"}, {"ref": "jonathandoanephd/doane-s-model-performance-task-ml-intern", "kernel_id": "54241359"}, {"ref": "phoenixknight/stable-diffusion-sample-submission-6dae05", "kernel_id": "54967188"}, {"ref": "phoenixknight/fork-of-stable-diffusion-sample-submission", "kernel_id": "54966935"}, {"ref": "nishchaynilabh/blip2-caption-generation", "kernel_id": "55022575"}, {"ref": "muhamadsyaifulhuda/training-blip-bdd", "kernel_id": "59161984"}, {"ref": "elenagilberty/eeglie", "kernel_id": "59440764"}, {"ref": "samh0ng/lb-0-45836-blip-clip-clip-interrogator", "kernel_id": "60128451"}, {"ref": "mahmoodyousaf/text-to-image-generation-stable-diffusion", "kernel_id": "61941007"}, {"ref": "gannayasser/text-to-magic-exploring-diffusion-models", "kernel_id": "62510326"}, {"ref": "muhamadsyaifulhuda/training-blip-bdd-parafrase-syaiful-l", "kernel_id": "63165841"}, {"ref": "muhamadsyaifulhuda/training-blip-bdd-sch-1-syaiful-b", "kernel_id": "63152959"}, {"ref": "muhamadsyaifulhuda/training-blip-bdd-parafrase-1-syaiful", "kernel_id": "63101278"}, {"ref": "fymwin/blip2-lora", "kernel_id": "63104305"}, {"ref": "msyaifulhuda/training-blip-bdd-parafrase-ipul-l", "kernel_id": "63165984"}, {"ref": "msyaifulhuda/training-blip-bdd-parafrase-1-syaiful", "kernel_id": "63166365"}, {"ref": "syaimaaaaaaaaaaaaa/training-blip-bdd-parafrase-1-syaiful", "kernel_id": "63166464"}, {"ref": "syaimaaaaaaaaaaaaa/training-blip-bdd-parafrase-syaiful-l", "kernel_id": "63166558"}, {"ref": "royisland/stable-diffusion-prompts-generation", "kernel_id": "66321619"}, {"ref": "mishafakhar/runningsd", "kernel_id": "67331255"}, {"ref": "engrikhlaqwahid/text-to-image-gemeration-system", "kernel_id": "67992640"}, {"ref": "royisland/stable-diffusion-blip", "kernel_id": "71977209"}, {"ref": "royisland/stable-diffusion-blip-fine-tune", "kernel_id": "72920934"}, {"ref": "royisland/stable-diffusion-blip-lora-fine-tune", "kernel_id": "73516144"}, {"ref": "royisland/stable-diffusion-blip-lora-fine-tune-run", "kernel_id": "73539301"}, {"ref": "royisland/stable-diffusion-blip-fine-tune-run", "kernel_id": "73013696"}, {"ref": "kandregulaabhinav/sam-cc-detn", "kernel_id": "73207326"}, {"ref": "kagdeptry/segment-anything-model-sam-prompt-examples", "kernel_id": "73924695"}, {"ref": "stpeteishii/text-to-image-stable-diffusion-2", "kernel_id": "75327953"}, {"ref": "stpeteishii/text-to-image-stable-diffusion-1-4", "kernel_id": "75328380"}, {"ref": "nori0724/ch04-wandb-table", "kernel_id": "77525299"}, {"ref": "tungpham060603/segment-anything-model-sam-prompt-examples", "kernel_id": "79354513"}, {"ref": "debbyrm/train-debby-ecg", "kernel_id": "83755910"}, {"ref": "debbyrofi/training", "kernel_id": "83710150"}, {"ref": "debbyrmalik/blip-ecg-10-epoch-ver", "kernel_id": "83829447"}, {"ref": "debbyrofikomalik/blip-base-7000-datas-only", "kernel_id": "84062843"}, {"ref": "debbyrofikomalik/blip-base-21-000-datas", "kernel_id": "84085908"}, {"ref": "debbymalik/14000-train", "kernel_id": "84586526"}, {"ref": "debbyrm/7000-large-blip", "kernel_id": "84064362"}, {"ref": "debbyrofi/continue", "kernel_id": "84168386"}, {"ref": "debbyrm2/continue-10-epoch", "kernel_id": "84588476"}, {"ref": "stpeteishii/raf-fender-esq-text-to-image-stable-diffusion-1-4", "kernel_id": "90712796"}, {"ref": "sabbirhossainhridoy/text-to-image-generation-by-hridoy", "kernel_id": "91470629"}, {"ref": "engrikhlaqwahid/text-to-image-system", "kernel_id": "105720977"}, {"ref": "shuaibkhan2k3/2-2-text-to-image-generation-by-stable-diffusion", "kernel_id": "105498027"}, {"ref": "andeptrai07/stable-diffusion-image-to-prompts-lb-max-v5", "kernel_id": "134592647"}]}
{"competition_id": "45920", "kernels": []}
{"competition_id": "45922", "kernels": [{"ref": "slayerpark/slayer-park-strike-model", "kernel_id": "34688383"}, {"ref": "nickwan/attack-zones-visualizing-the-strike-zone", "kernel_id": "34420892"}, {"ref": "bobblee/learningoptuna-withbaseball-lightgbm", "kernel_id": "34375959"}, {"ref": "bobblee/pitch-by-pitch-plotting-with-mspaint", "kernel_id": "34505205"}, {"ref": "jacobsosine/f-i-r-e", "kernel_id": "34469902"}, {"ref": "jacobsosine/kaggle-guide-to-commenting-v2", "kernel_id": "34390034"}, {"ref": "jbomitchell/strike-prediction-ensemble", "kernel_id": "34749379"}, {"ref": "jbomitchell/attack-zones-tanh-based-probabilities", "kernel_id": "34618453"}, {"ref": "jbomitchell/extra-trees-strike-prediction", "kernel_id": "34631315"}, {"ref": "jbomitchell/knn-strike-prediction", "kernel_id": "34552976"}, {"ref": "jbomitchell/random-forest-strike-prediction", "kernel_id": "34562187"}, {"ref": "tindata/getstrained", "kernel_id": "34384404"}, {"ref": "leandrodestefani/xgboost-starter-halvinggrid-pipeline", "kernel_id": "34405163"}, {"ref": "davescroggs/pitches-eda", "kernel_id": "35116067"}, {"ref": "tkfuenf/trying-to-get-better-at-modelling", "kernel_id": "35778719"}, {"ref": "thomasdubail/strickes-prediction-xgb-starter", "kernel_id": "35722553"}, {"ref": "wordcards/2nd-place-solution-predict-strikes", "kernel_id": "36270931"}, {"ref": "paulrjohnson/expected-strikes-nested-cv-catboost-optuna", "kernel_id": "36027731"}]}
{"competition_id": "45925", "kernels": [{"ref": "jankuper192/my-search-for-baseball-knowlegde", "kernel_id": "36929163"}, {"ref": "slayerpark/slayer-park-s-big-dinger-guesser", "kernel_id": "36949276"}, {"ref": "davescroggs/mlb-homers-using-xgboost-and-tidymodels", "kernel_id": "36883055"}, {"ref": "bobblee/learningoptuna-withbaseball-xhr-lightgbm", "kernel_id": "36832297"}, {"ref": "jasongedamke/swinging-for-the-fences-ensemble-gradient-boostin", "kernel_id": "36979963"}, {"ref": "tindata/strainlegacy", "kernel_id": "36821403"}, {"ref": "paulrjohnson/expected-homers-ballpark-variance-home-runs", "kernel_id": "36821480"}, {"ref": "jbomitchell/random-forest-hr-prediction", "kernel_id": "37420438"}, {"ref": "yaobvs/home-run-nb", "kernel_id": "37637133"}, {"ref": "pradeepsapparapu/predict-home-runs-with-mlb", "kernel_id": "37369685"}, {"ref": "yashhvyass/predicthomeruns-lgbm-catboost", "kernel_id": "39913934"}, {"ref": "jankuper192/auto-ml-in-h20", "kernel_id": "41049341"}, {"ref": "datalab351/no-air-density-home-runs", "kernel_id": "41409274"}, {"ref": "seanfector/2023-07-15-xhr-notebook", "kernel_id": "41108875"}]}
{"competition_id": "45929", "kernels": [{"ref": "tracyporter/water-quality", "kernel_id": "34372047"}, {"ref": "harinuu/water-quality-using-random-forest", "kernel_id": "34719411"}, {"ref": "anushreek15/water-quality-prediction", "kernel_id": "36510837"}, {"ref": "vanthanadevi08/water-quality-prediction-using-linear-regression", "kernel_id": "36443264"}]}
{"competition_id": "45943", "kernels": [{"ref": "derguene/1-1-dm-trill-transfer-to-wolof-v2", "kernel_id": "43844005"}]}
{"competition_id": "45953", "kernels": []}
{"competition_id": "45969", "kernels": []}
{"competition_id": "45981", "kernels": []}
{"competition_id": "46024", "kernels": []}
{"competition_id": "46105", "kernels": [{"ref": "shreyjain26/isolated-sign-lang", "kernel_id": "34420408"}, {"ref": "hengck23/lb-0-67-one-pytorch-transformer-solution", "kernel_id": "35746317"}, {"ref": "habedi/asl-signs-dataset-duckdb-notebook", "kernel_id": "35933676"}, {"ref": "indrajitswain/google-sign-language-recognition-pytorch", "kernel_id": "35424780"}, {"ref": "mayukh18/sign-language-eda-visualization", "kernel_id": "35390633"}, {"ref": "mayukh18/end-to-end-pytorch-training-submission", "kernel_id": "35480587"}, {"ref": "mayukh18/gislr-feature-data", "kernel_id": "35549535"}, {"ref": "rbhambri/tflite-model-conversion", "kernel_id": "35438771"}, {"ref": "rbhambri/islr-create-tfrecord", "kernel_id": "35670730"}, {"ref": "dheerendrasingh/google-isolated-sign-language-recognition-eda", "kernel_id": "35582103"}, {"ref": "mhetrerajat/pytorch-tflite", "kernel_id": "35420491"}, {"ref": "robikscube/sign-language-recognition-eda-twitch-stream", "kernel_id": "35387617"}, {"ref": "alexandremoritz/slr-plot-frames-3d-static-animations", "kernel_id": "35698880"}, {"ref": "dhakshiin1601/grow-with-gru", "kernel_id": "35843519"}, {"ref": "vovanz/interactive-3d-animated-visualization-of-asl", "kernel_id": "35753705"}, {"ref": "tantai/gislr-background-knowledge-landmarks-visualization", "kernel_id": "35705900"}, {"ref": "akumar6/label-analysis", "kernel_id": "35795253"}, {"ref": "juanumusic/validate-all-data-is-arranged-the-same", "kernel_id": "35712023"}, {"ref": "tom3141592/train-csv-eda", "kernel_id": "35398817"}, {"ref": "dschettler8845/gislr-learn-eda-baseline", "kernel_id": "35447417"}, {"ref": "dschettler8845/gislr-how-to-submit-random-baseline", "kernel_id": "35507288"}, {"ref": "dschettler8845/gislr-how-to-ensemble", "kernel_id": "35754207"}, {"ref": "hamditarek/google-isolated-sign-language-recognition-eda", "kernel_id": "35380385"}, {"ref": "profetul/how-to-generate-compatible-tf-lite-model", "kernel_id": "35411269"}, {"ref": "kooaslansefat/google-islr-evidential-deep-learning", "kernel_id": "35496044"}, {"ref": "dvorka/gislr-dataset-player", "kernel_id": "35996510"}, {"ref": "ryanbbaten/animated-gifs-convenience-functions", "kernel_id": "35528558"}, {"ref": "hlly34/base-neural-network-batchnorm-pytorch-inference", "kernel_id": "35932793"}, {"ref": "medali1992/gislr-feature-data-on-the-shoulders-pytorch", "kernel_id": "35714779"}, {"ref": "medali1992/isolated-sign-language-aggregation-preparation", "kernel_id": "35554957"}, {"ref": "medali1992/gislr-nn-arcface-baseline", "kernel_id": "35542369"}, {"ref": "aikhmelnytskyy/gislr-tf-on-the-shoulders-ensamble", "kernel_id": "35748912"}, {"ref": "aikhmelnytskyy/gislr-tf-on-the-shoulders-ensamble-v2-0-69", "kernel_id": "35966993"}, {"ref": "stpeteishii/asl-signs-2d-3d-slide-show", "kernel_id": "35931192"}, {"ref": "stpeteishii/mediapipe-hands-how-landmark-data-is-generated", "kernel_id": "35998749"}, {"ref": "ted0071/gislr-visualization", "kernel_id": "35786624"}, {"ref": "danielpeshkov/animated-data-visualization", "kernel_id": "35379975"}, {"ref": "mpwolke/sign-language-asl-listen-look-shhh", "kernel_id": "35379445"}, {"ref": "swaroopmeher/islr-tensorflow", "kernel_id": "35754203"}, {"ref": "zishane/asl-competition", "kernel_id": "35963013"}, {"ref": "researchlad/hand-recognition", "kernel_id": "35741310"}, {"ref": "jarvisai7/the-concise-eda", "kernel_id": "35789671"}, {"ref": "jarvisai7/tensorflow-pytorch-to-tflite", "kernel_id": "35443361"}, {"ref": "dinowun/eda-simplified-isolated-asl-recognition", "kernel_id": "35417362"}, {"ref": "prajwalsood/islr-with-transformers", "kernel_id": "35455559"}, {"ref": "saraswatitiwari/tflite-isolated-sign-language-recognition", "kernel_id": "35869581"}, {"ref": "renzophellan/understanding-the-data-creating-a-model", "kernel_id": "35417158"}, {"ref": "rashasalim/starting-with-eda-visualization-of-hot-landmarks", "kernel_id": "35476261"}, {"ref": "surayuthpintawong/data-preparation-for-training-sequence-models", "kernel_id": "35455812"}, {"ref": "lonnieqin/islr-create-tfrecord", "kernel_id": "35550028"}, {"ref": "lonnieqin/isolated-sign-language-recognition-with-dnn", "kernel_id": "35413566"}, {"ref": "lonnieqin/isolated-sign-language-recognition-with-convlstm1d", "kernel_id": "35607393"}, {"ref": "koubouratouidjaton/sign-language-data-exploration-insights-and-fun-3d", "kernel_id": "35590274"}, {"ref": "hoyso48/islr-create-tfr", "kernel_id": "35974992"}, {"ref": "lucastraina/animated-display-of-the-landmarks", "kernel_id": "35645214"}, {"ref": "venkatkumar001/try-to-explore-asl-visualization", "kernel_id": "35430726"}, {"ref": "bibanh/cv-0-1247-baseline-model-with-tf-random-forest", "kernel_id": "35406274"}, {"ref": "sagniksanyal/google-islr-visualization-pytorch-tflite", "kernel_id": "35870244"}, {"ref": "acousticmusic/2023-eda-etl", "kernel_id": "35397705"}, {"ref": "josephzahar/distance-angle-based-features-using-keras", "kernel_id": "35556428"}, {"ref": "josephzahar/interactive-3d-animated-visualization-of-asl", "kernel_id": "35519027"}, {"ref": "josephzahar/tfrecords-type-asl", "kernel_id": "35660746"}, {"ref": "lcdrdata/face-landmarks", "kernel_id": "35805564"}, {"ref": "asimple/eda-sign-language-recognition", "kernel_id": "35402190"}, {"ref": "davidjohnmillard/eda-2d-3d-visualization", "kernel_id": "35504280"}, {"ref": "nghihuynh/gislr-eda-feature-processing", "kernel_id": "35889052"}, {"ref": "swatikhedekar/eda-on-google-asl-sign", "kernel_id": "35439220"}, {"ref": "jvthunder/lstm-baseline-for-starters-sign-language", "kernel_id": "35697024"}, {"ref": "roberthatch/gislr-small-version-on-the-shoulders", "kernel_id": "35790496"}, {"ref": "roberthatch/tflite-weighted-ensemble-starter", "kernel_id": "35714524"}, {"ref": "roberthatch/gislr-lb-0-63-on-the-shoulders", "kernel_id": "35656244"}, {"ref": "roberthatch/gislr-feature-data-on-the-shoulders", "kernel_id": "35623333"}, {"ref": "sarashahin/isolatedsignlanguagerecognition", "kernel_id": "35712541"}, {"ref": "khaledjamal/popsign-asl-sign-classification-notebook", "kernel_id": "35751266"}, {"ref": "khaledjamal/asl-feature-data", "kernel_id": "35768476"}, {"ref": "asdpod/signlanguage-comp", "kernel_id": "35893978"}, {"ref": "abdelrahmanhassanein/eda-and-visualize", "kernel_id": "35423625"}, {"ref": "myso1987/gislr-pytorch-tflite-baseline", "kernel_id": "35498025"}, {"ref": "yuanjingzhu/gislr-eda", "kernel_id": "35659329"}, {"ref": "madhavsahi/asl-sign-classification-with-tensorflow-lite", "kernel_id": "35439565"}, {"ref": "kalyansekhar07/understanding-asl-data-creating-a-pytorch-model", "kernel_id": "35991022"}, {"ref": "clemchris/asl-sign-detection-pytorch-lightning", "kernel_id": "35580808"}, {"ref": "podcastprereamea/sign-language-recognition-eda", "kernel_id": "35896493"}, {"ref": "kirstenwiens/eda-isolated-sign-language-recogntion", "kernel_id": "35678746"}, {"ref": "keotshepileditlhage/ppt2-2", "kernel_id": "35843478"}, {"ref": "keaolebogathubisi/the-avengers", "kernel_id": "35842998"}, {"ref": "aapokossi/let-s-get-this-party-started-lb-0-67", "kernel_id": "35684886"}, {"ref": "aapokossi/asl-recognition-data-pipeline-time-series-model", "kernel_id": "35430915"}, {"ref": "aapokossi/how-to-save-parquet-data-as-ragged-tf-dataset", "kernel_id": "35539563"}, {"ref": "aapokossi/submission-for-variable-length-time-series-model", "kernel_id": "35514604"}, {"ref": "dwijmistry/sign-language-challenge-google", "kernel_id": "35695023"}, {"ref": "zhouhua2022/notebook8d7f9a182f", "kernel_id": "35767255"}, {"ref": "adrivg/eda-google-isl-recognition", "kernel_id": "35534263"}, {"ref": "matthewso2022/official-asl-data-visualizer", "kernel_id": "35383750"}, {"ref": "juanolano/jco-dnn-v12", "kernel_id": "35551315"}, {"ref": "juanolano/an-lstm-approach-still-very-sub-par", "kernel_id": "35443212"}, {"ref": "cristaliss/sign-language-recognition-data-preprocessing", "kernel_id": "35567526"}, {"ref": "cristaliss/sign-language-animation-graphics", "kernel_id": "35498019"}, {"ref": "dorianmb/isolated-sign-language-recognition-quick-start", "kernel_id": "35711632"}, {"ref": "dorianmb/islr-convlstm", "kernel_id": "35956572"}, {"ref": "dekomorisanae09/google-video-size-reduction", "kernel_id": "35846348"}, {"ref": "venkataanandsaikumar/preproceesed-data", "kernel_id": "35568685"}, {"ref": "chriskouts/sign-language-custom-layer-tf", "kernel_id": "35521007"}, {"ref": "vishalkanojiya/asl-signs", "kernel_id": "35446548"}, {"ref": "jessevanderlinden/basic-lstm-and-transformer-implementation", "kernel_id": "35701820"}, {"ref": "maxjobraun/building-x-train", "kernel_id": "35803110"}, {"ref": "maxjobraun/isl-get-x", "kernel_id": "35812130"}, {"ref": "pawegadziski/animation-tool", "kernel_id": "35780308"}, {"ref": "bhanupratapbiswas/sign-language-recognition-python-code", "kernel_id": "35395996"}, {"ref": "ruwinithakshila/task2", "kernel_id": "35903118"}, {"ref": "ruwinithakshila/task2-draft", "kernel_id": "35819110"}, {"ref": "stevenhinojosa/google-asl-game", "kernel_id": "35817658"}, {"ref": "pranavskoundinya/cv-pneumonia", "kernel_id": "35798962"}, {"ref": "lameuler/asl-eda", "kernel_id": "35669567"}, {"ref": "lameuler/asl-dataset", "kernel_id": "35949222"}, {"ref": "slumericanbx/exercise-joins-and-unions", "kernel_id": "35761138"}, {"ref": "hengck23/example-from-pytorch-to-keras-gru-by-hand", "kernel_id": "36095504"}, {"ref": "hengck23/lb-0-73-single-fold-transformer-architecture", "kernel_id": "36625771"}, {"ref": "hengck23/generate-your-own-pose-data-from-video", "kernel_id": "36876924"}, {"ref": "chg0901/islr-improved-landmarks-animation", "kernel_id": "36950891"}, {"ref": "joejeo1/transformerseq32seq64", "kernel_id": "36959834"}, {"ref": "anoopnits/islr-eda-let-s-get-animated", "kernel_id": "36103274"}, {"ref": "johnrobinsn/use-mediapipe-to-render-parquet-files", "kernel_id": "36112752"}, {"ref": "meowmeowmeowmeowmeow/asl-sratified-full-dataset-in-tfrecords-format", "kernel_id": "36353300"}, {"ref": "aroraaman/lb-0-695-w-b-transformer-fc-ensemble", "kernel_id": "36469593"}, {"ref": "pjawahar/sign-language-recognition-eda", "kernel_id": "36679140"}, {"ref": "stpeteishii/asl-superimposed-image-showing-sign", "kernel_id": "36997609"}, {"ref": "dongjun819/gislr-ensamble", "kernel_id": "36870274"}, {"ref": "pranavbansal/american-sign-language-data-processing", "kernel_id": "36478787"}, {"ref": "aynoji/gislr-tf-kerastuner", "kernel_id": "36670852"}, {"ref": "rahuldubey21/asl-signs-eda", "kernel_id": "36756068"}, {"ref": "aleksandrkruchinin/tflite-ensemble", "kernel_id": "36248428"}, {"ref": "rashasalim/asl-preprocessing-training-unfinished", "kernel_id": "36350776"}, {"ref": "markwijkhuizen/gislr-tf-data-processing-transformer-training", "kernel_id": "36335702"}, {"ref": "samratthapa/speedup-training-by-processing-data-beforehand", "kernel_id": "36196880"}, {"ref": "yuanzhezhou/tflite-ensemble", "kernel_id": "36267360"}, {"ref": "tatamikenn/islr-visualization-let-s-merge-all-landmarks", "kernel_id": "36128240"}, {"ref": "tatamikenn/islr-eda-let-s-get-landmarks-animated", "kernel_id": "36061460"}, {"ref": "zhuravlevivanilich/pretty-visualization-and-reflections-about-models", "kernel_id": "36722541"}, {"ref": "yuhanliu6506/dynamic-dashboard-landmark-visualization", "kernel_id": "36363198"}, {"ref": "josephzahar/real-time-asl-recognition-using-webcam-feed", "kernel_id": "36936141"}, {"ref": "josephzahar/dynamic-dashboard-landmark-visualization", "kernel_id": "36109854"}, {"ref": "josephzahar/spatial-temporal-filter-for-optimum-learning", "kernel_id": "36344950"}, {"ref": "elindbergs/read-parquet-files", "kernel_id": "36809500"}, {"ref": "snehaiitkgp/challenge-isolated-sign-language-recognition", "kernel_id": "36036374"}, {"ref": "snehaiitkgp/eda-islr-kaggle", "kernel_id": "36045922"}, {"ref": "snehaiitkgp/kagglexbipoc-islr", "kernel_id": "36058994"}, {"ref": "sabinaabdurakhmanova/transformer-training-with-learnable-weight-pe", "kernel_id": "36407790"}, {"ref": "changyongko/test-submission", "kernel_id": "36920143"}, {"ref": "maritamatta/sect2-g09-basic-pipeline", "kernel_id": "36436274"}, {"ref": "alimustoofaa/pytorch-to-tflite", "kernel_id": "36685883"}, {"ref": "ayushjain001/sign-detection-eda", "kernel_id": "36989727"}, {"ref": "aditya9790/asl-sign-recognition-eda", "kernel_id": "36140493"}, {"ref": "soumenksarker/isolated-sign-language-recognition-quick-start", "kernel_id": "36687568"}, {"ref": "soumenksarker/g-islr-ensemble-of-transformer-fc-model", "kernel_id": "36853840"}, {"ref": "debarthachakraborty/use-mediapipe-to-render-parquet-files", "kernel_id": "36804961"}, {"ref": "stanptown/lstm-baseline-for-starters-sign-language-eeff0f", "kernel_id": "36427508"}, {"ref": "stanptown/ensemble", "kernel_id": "36431706"}, {"ref": "suyashsunilraomorale/isolated-sign-language-recognition-eda", "kernel_id": "36131191"}, {"ref": "ellienarang/asl-by-dnn-ellie-milind", "kernel_id": "36041521"}, {"ref": "bell2psy/google-slr-basic-eda", "kernel_id": "36016398"}, {"ref": "likhithadurusoju/signlanguagerecognition", "kernel_id": "36394586"}, {"ref": "sanandachowdhury/eda-sign-language-recognition", "kernel_id": "36683635"}, {"ref": "sanandachowdhury/isolated-sign-language-recognition-quick-start", "kernel_id": "36020556"}, {"ref": "sabahesaraki/google-isolated-sign-language-recognition", "kernel_id": "36151652"}, {"ref": "rohanmathew9209/islr-convlstm", "kernel_id": "36627895"}, {"ref": "khurramafroz/sign-language-deep-learning-cnn-and-transformer", "kernel_id": "36133496"}, {"ref": "chandansy/sing-language-recognition-eda", "kernel_id": "36338217"}, {"ref": "amannnn10/signlanguage-eda", "kernel_id": "36410036"}, {"ref": "piehtvh/islr-google", "kernel_id": "36257562"}, {"ref": "narottamsahu/lstm-model", "kernel_id": "36396138"}, {"ref": "geyiming/cnn-lstm-eda", "kernel_id": "36907097"}, {"ref": "rajavimalesh/adv-data-mining", "kernel_id": "36689294"}, {"ref": "franksuli/9417-nnr", "kernel_id": "36884240"}, {"ref": "franksuli/gislr-eda-feature-processing", "kernel_id": "36884718"}, {"ref": "franksuli/gislr-tf-data-processing-transformer-training", "kernel_id": "36991236"}, {"ref": "franksuli/islr-with-transformers", "kernel_id": "36995206"}, {"ref": "shido49221/63130500249-kerastuner", "kernel_id": "36699172"}, {"ref": "janettewongprasith/gislr-tf-with-kerastuner-janette", "kernel_id": "36840649"}, {"ref": "parisaprabsiang/gislr-tf-with-kerastuner", "kernel_id": "36821242"}, {"ref": "pipiipin/gislr-tf-with-kerastuner", "kernel_id": "36840681"}, {"ref": "yuyanguang/kaggle-google", "kernel_id": "36194589"}, {"ref": "bioxes/gislr-tf-data-processing-transformer-training", "kernel_id": "36442410"}, {"ref": "buabwd/worada", "kernel_id": "36840359"}, {"ref": "ruwinithakshila/notebook8f59f7c362", "kernel_id": "36473264"}, {"ref": "lameuler/asl-mlp", "kernel_id": "36546833"}, {"ref": "lameuler/asl-transformer", "kernel_id": "36964529"}, {"ref": "nihalraogokaraneni/isolated-american-sign-language-recognition", "kernel_id": "36020650"}, {"ref": "siyabongamlambo/asl-code", "kernel_id": "36603430"}, {"ref": "zubenathineno/code-001", "kernel_id": "36630533"}, {"ref": "zubenathineno/project-2", "kernel_id": "36283867"}, {"ref": "jiyuqian/kaggle-slr", "kernel_id": "36657452"}, {"ref": "ginindazwelihle/presentation-2", "kernel_id": "36681191"}, {"ref": "dhk13491/gislr-simple-pytorch-to-tflite-baseline", "kernel_id": "36216601"}, {"ref": "dhk13491/gislr-simple-vit-pyorch-to-tflite-baseline", "kernel_id": "36485842"}, {"ref": "owaiskhan8485/asl-recognition-updated-for-kaggle-dataset", "kernel_id": "36735154"}, {"ref": "plulena/out-of-memory", "kernel_id": "37194723"}, {"ref": "suneetsaini/gislr-tf-data-processing-transformer-training", "kernel_id": "37324485"}, {"ref": "naveensubramanian/google-asi-eda", "kernel_id": "37281251"}, {"ref": "marcu5fen1x/gislr-tf-data-processing-transformer-training", "kernel_id": "37384594"}, {"ref": "maahichauhan/ai-project", "kernel_id": "37629830"}, {"ref": "sachinkumar413/slr-using-dnn-v1-0", "kernel_id": "37701835"}, {"ref": "debman/one-stop-super-fast-tflite-preprocessing-for-gislr", "kernel_id": "37592977"}, {"ref": "pranavbansal/simple-pytorch-to-tflite-baseline", "kernel_id": "37187567"}, {"ref": "myominhtet/aslr-eda", "kernel_id": "37570932"}, {"ref": "timxinxinpeng/isolated-sign-language-recognition-with-stgcn", "kernel_id": "37110294"}, {"ref": "jordibeltranperello/tf-transformer-5-epoch-training", "kernel_id": "37057114"}, {"ref": "giancarlopomape/asl-competition-drawing-landmarks", "kernel_id": "37303564"}, {"ref": "nghihuynh/gislr-inference-transformer", "kernel_id": "37590259"}, {"ref": "abdulkadirguner/1mayis-sub2-99x006", "kernel_id": "37995198"}, {"ref": "keyuwa/notebookbalabala", "kernel_id": "37694130"}, {"ref": "youssefouertani/lip-hand-data-trainer", "kernel_id": "37095543"}, {"ref": "ayushksingh28/google-sign", "kernel_id": "37900312"}, {"ref": "coderrexe/transformer-training-best-bronze-medal", "kernel_id": "37627206"}, {"ref": "maritamatta/isl-ml-project", "kernel_id": "37651904"}, {"ref": "thisnikhil/signlanguagedemo", "kernel_id": "37082119"}, {"ref": "jahazielhernandezhh/asl-test-v1-jahaziel", "kernel_id": "37439877"}, {"ref": "soumenksarker/tf-model-training-ensemble-fc", "kernel_id": "37610598"}, {"ref": "soumenksarker/transformer-model-and-training", "kernel_id": "37983988"}, {"ref": "bryanzhou19/cs-4644-lstm-draft", "kernel_id": "37930229"}, {"ref": "sujaykapadnis/sign-language", "kernel_id": "37086513"}, {"ref": "seonokrkim/simple-model-submission", "kernel_id": "37615722"}, {"ref": "suyashsunilraomorale/google-isolated-sign-language-recognition", "kernel_id": "37289346"}, {"ref": "klausmikaelson2002/isolated-sign-language-tflite", "kernel_id": "37786036"}, {"ref": "priyam8210/sign-2b", "kernel_id": "37865394"}, {"ref": "kaifengguo/transformer-model-training-93e81e", "kernel_id": "37737428"}, {"ref": "dengxianxu/transformer-model-training", "kernel_id": "37334655"}, {"ref": "harrynelson/notebook65e6f21a98", "kernel_id": "37474482"}, {"ref": "dzhanidaud/asl-data-analysis", "kernel_id": "37459999"}, {"ref": "tejaspatil8/notebook3a8aea821d", "kernel_id": "37139539"}, {"ref": "tejaspatil8/isrl-data-visualization", "kernel_id": "37018000"}, {"ref": "sagarsugunan/asl-google-competition", "kernel_id": "37980428"}, {"ref": "amirhosseintondari/check", "kernel_id": "37589045"}, {"ref": "nilsle/convlstm-asl", "kernel_id": "37500179"}, {"ref": "achrafzhar/isl-recognition-with-transformers", "kernel_id": "37782007"}, {"ref": "atharvapandkar18/test1", "kernel_id": "37593574"}, {"ref": "chack3/asl-4th-place-inference", "kernel_id": "38153657"}, {"ref": "chack3/asl-4th-place-training", "kernel_id": "38058110"}, {"ref": "cdeotte/improve-best-public-notebook-lb-0-76", "kernel_id": "38010953"}, {"ref": "tonikhilkumarreddy/sign-language-recognition", "kernel_id": "38096990"}, {"ref": "zishane/asl-eda-simple-nn-model", "kernel_id": "38106760"}, {"ref": "hoyso48/1st-place-solution-training", "kernel_id": "38075517"}, {"ref": "hoyso48/islr-get-gcs-path", "kernel_id": "38124614"}, {"ref": "hoyso48/1st-place-solution-inference", "kernel_id": "38086167"}, {"ref": "aminesnoussi/isolated-sign-language-recognition-active-learning", "kernel_id": "38484153"}, {"ref": "tahimakhatun/isolated-sign-language-recognition-with-dnn", "kernel_id": "38441189"}, {"ref": "pradhyumnbhale/transformer-model-training", "kernel_id": "38573044"}, {"ref": "reemhesham21/sign-language-recognition", "kernel_id": "38172715"}, {"ref": "ejjjjjjjj/gislr-eda-feature-processing", "kernel_id": "38021970"}, {"ref": "jiyuqian/slr-pytorch-tflite", "kernel_id": "38767456"}, {"ref": "zishane/asl-training", "kernel_id": "39090338"}, {"ref": "hoyso48/aslfr-create-tfr", "kernel_id": "39641142"}, {"ref": "diiwoo/asl-4th-place-inference", "kernel_id": "39661202"}, {"ref": "murphjiao/test-v2", "kernel_id": "39580929"}, {"ref": "muratbarkinknay/notebookcd46614515", "kernel_id": "40338296"}, {"ref": "chaos2629/transformer-model-training", "kernel_id": "40816629"}, {"ref": "huahy1/asl-4th-place-training-newyouhua", "kernel_id": "40945845"}, {"ref": "lancelotxwx/transformer-model-training", "kernel_id": "40842528"}, {"ref": "amanmukati/sign-language-recognition-eda", "kernel_id": "41885827"}, {"ref": "taf1404/slovo-v3-0-9000", "kernel_id": "41222179"}, {"ref": "gyanprakashkushwaha/sign-language-recognition", "kernel_id": "41579635"}, {"ref": "asif00/sign-language-translation-opencv-mediapipe", "kernel_id": "41828855"}, {"ref": "charanreddysunkara/gislr-tf-data-processing-transformer-training", "kernel_id": "42624911"}, {"ref": "glitchr/wlasl-100-data-preparation-training", "kernel_id": "42166169"}, {"ref": "soumixsarkar/sign-language-recognition", "kernel_id": "42758768"}, {"ref": "mohamedaminesahraoui/sign-animated-visualization", "kernel_id": "42415289"}, {"ref": "riturajsharma19/1st-place-solution-training", "kernel_id": "43295240"}, {"ref": "minnikeswarrao/video-to-mediapipe-parquet", "kernel_id": "43022267"}, {"ref": "sontng/sign-language-training", "kernel_id": "44396346"}, {"ref": "lestervioleta/gislr-sample", "kernel_id": "45906581"}, {"ref": "simpleaccount/transformer-model-training", "kernel_id": "45130927"}, {"ref": "mohammedalbsri/gislr-tf-data-processing-transformer-training", "kernel_id": "46912651"}, {"ref": "unknownmro/sing-language-detect-model-loading", "kernel_id": "46509012"}, {"ref": "mdikramahossain/sign-language-detection", "kernel_id": "46522589"}, {"ref": "mdikramahossain/gislr-learn-eda-baseline", "kernel_id": "46450150"}, {"ref": "nguyenhung2003/inference", "kernel_id": "47436195"}, {"ref": "nguyenhung2003/1st-place-solution-inference-f1177a", "kernel_id": "47410488"}, {"ref": "yazeedmshayikh/transformer", "kernel_id": "48683985"}, {"ref": "anubhavde/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "48820188"}, {"ref": "nischayraj/gislr-resnet", "kernel_id": "48920254"}, {"ref": "venkatesh240902/isolated-sign-language-recognition-with-stgcn", "kernel_id": "48572498"}, {"ref": "minnikeswarrao/model-test", "kernel_id": "50445613"}, {"ref": "minnikeswarrao/model-training", "kernel_id": "50400209"}, {"ref": "minnikeswarrao/video-to-dataframe", "kernel_id": "50491991"}, {"ref": "hongminli/co-gislr-data-processing-transformer-training", "kernel_id": "51238492"}, {"ref": "pranavrajh/1st-place-solution-inference", "kernel_id": "52658898"}, {"ref": "stefanusraymondsurya/sign-language-recognition-eda", "kernel_id": "52026245"}, {"ref": "yashkale7/isl-recognition-with-transformers", "kernel_id": "53498814"}, {"ref": "jamshed20/gislr-tf-data-processing-transformer-training", "kernel_id": "56513427"}, {"ref": "shahadhamza/ensemble-the-transform-model", "kernel_id": "57841646"}, {"ref": "trnvngquct/isolated-slr-ver-g", "kernel_id": "58054206"}, {"ref": "esraelmekdem/ensemble-the-transform-model", "kernel_id": "59059149"}, {"ref": "hongminli/debug-model-on-youtube-signs-videos", "kernel_id": "61439590"}, {"ref": "donnygdp/debug-model-on-youtube-signs-videos", "kernel_id": "61831048"}, {"ref": "althrunsun/1st-place-solution-inference", "kernel_id": "71735051"}, {"ref": "carolineyyy/dutchman-model-training-inference", "kernel_id": "71857130"}, {"ref": "althrunsun/1st-place-solution-training", "kernel_id": "72879274"}, {"ref": "carolineyyy/islr-create-tfr", "kernel_id": "72427057"}, {"ref": "carolineyyy/1st-place-solution-training-tpu-original", "kernel_id": "72881532"}, {"ref": "chhavisethiya/sign-lang-recogition-972210", "kernel_id": "72934989"}, {"ref": "shailjamaheshwari/sign-lang-recogition", "kernel_id": "72718221"}, {"ref": "mrgeislinger/islr-1st-place-solution-copy-training", "kernel_id": "77573199"}, {"ref": "mrgeislinger/islr-1st-place-solution-copy-inference", "kernel_id": "77600274"}, {"ref": "mrgeislinger/test-landmarks-new-data-on-trained-model", "kernel_id": "77834412"}, {"ref": "mrgeislinger/animated-data-visualization-tv-two-sources", "kernel_id": "77834761"}, {"ref": "mrgeislinger/just-hands-1st-place-solution-training", "kernel_id": "78020395"}, {"ref": "mrgeislinger/just-hands-1st-place-solution-inference", "kernel_id": "78054437"}, {"ref": "mrgeislinger/hands-only-landmarks-new-data-on-trained-model", "kernel_id": "78066835"}, {"ref": "aswandam/myself-lora-fine-tuning", "kernel_id": "78673540"}, {"ref": "lastkenpachi/1st-place-solution-inference", "kernel_id": "79393010"}, {"ref": "lastkenpachi/real-time-asl-recognition-using-webcam-feed", "kernel_id": "79812766"}, {"ref": "anandiitp/1st-place-solution-edited-inference", "kernel_id": "79642481"}, {"ref": "donnygdp/co-gislr-data-processing-transformer-training-dp", "kernel_id": "79535233"}, {"ref": "ey1111/1st-place-solution-training", "kernel_id": "79490237"}, {"ref": "ey1111/1st-place-solution-inference", "kernel_id": "79517796"}, {"ref": "xuepengxppx/training", "kernel_id": "80472820"}, {"ref": "luna68/1st-place-solution-training", "kernel_id": "80435411"}, {"ref": "luna68/cutmix", "kernel_id": "80725447"}, {"ref": "sliawatimena/sign-language-eda-visualization", "kernel_id": "81742281"}, {"ref": "summersamar/google-asl", "kernel_id": "81716241"}, {"ref": "khoa05ai/dataset-to-mediapipe-parquet", "kernel_id": "83599682"}, {"ref": "chaehyunson/project-lstm", "kernel_id": "84181648"}, {"ref": "sanjibdahal/asl-word", "kernel_id": "84830726"}, {"ref": "sflusername/notebook-1", "kernel_id": "85142121"}, {"ref": "sanjibdahal/video-to-mediapipe-parquet", "kernel_id": "85097042"}, {"ref": "maladhikamohan/1d-cnn", "kernel_id": "86926205"}, {"ref": "eveelyn/datathon2025-med", "kernel_id": "86714291"}, {"ref": "aheersrabon/islr-understanding-blizzard-s-code", "kernel_id": "91609876"}, {"ref": "niladri2005/sign-language-detection", "kernel_id": "93948886"}, {"ref": "hopesk/notebookf564877f06", "kernel_id": "93165912"}, {"ref": "hopesk/notebook97f4675744", "kernel_id": "93164432"}, {"ref": "hvvsathwik/signsense", "kernel_id": "102437664"}, {"ref": "tusharrastogi1234/gislr-notebook", "kernel_id": "102230752"}, {"ref": "najaf456ali/asl-80-dataset-extraction", "kernel_id": "104352912"}, {"ref": "sreeharinandan/gislr-training", "kernel_id": "106648528"}, {"ref": "psarjunrset/notebookbb309b8a1e", "kernel_id": "106487470"}, {"ref": "abdulsamadibrahim/cnn-transformer-enhanced", "kernel_id": "107399911"}, {"ref": "dhritirajesh/notebooke9947b36b9", "kernel_id": "108843489"}, {"ref": "dhritirajesh/ospi-asl-dynamic", "kernel_id": "108888161"}, {"ref": "hassanabdulrazeq/bilstm-training", "kernel_id": "109071385"}, {"ref": "abdulsamadibrahim/inference", "kernel_id": "109142522"}, {"ref": "mohamedmahmoud111/asl-eda", "kernel_id": "109804271"}, {"ref": "abdulsamadibrahim/hybrid-methods-improvement-best", "kernel_id": "110224620"}, {"ref": "marwanm7moud/takalm-project", "kernel_id": "110944746"}, {"ref": "abdulsamadibrahim/new-transformer", "kernel_id": "111024048"}, {"ref": "abdulsamadibrahim/1d-cnn-transformer-improved", "kernel_id": "111542532"}, {"ref": "hassanabdulrazeq/02-transformer", "kernel_id": "113539136"}, {"ref": "hassanabdulrazeq/02-bigru-refactored", "kernel_id": "114758287"}, {"ref": "wesalteam/transformer-model", "kernel_id": "114834060"}, {"ref": "swiri212/sign-language-motion-builder", "kernel_id": "115565945"}, {"ref": "hassanabdulrazeq/transformer-model-asl", "kernel_id": "116879341"}, {"ref": "abdulsamadibrahim/best-model-testing-hybid", "kernel_id": "116273765"}, {"ref": "haidy112ibrahim/76-model-lstm", "kernel_id": "116880334"}, {"ref": "haidy112ibrahim/notebook5267c6efc3", "kernel_id": "116672506"}, {"ref": "haidy112ibrahim/google-isolated-sign-language-recognition-a6d550", "kernel_id": "116845176"}, {"ref": "wwjkbdc/03-transformer-optimized", "kernel_id": "116384018"}, {"ref": "truepathventures/parley-notebook-01-hand-shape-baseline", "kernel_id": "116600932"}, {"ref": "truepathventures/parley-notebook-00-islr-eda", "kernel_id": "116557549"}, {"ref": "truepathventures/parley-notebook-02-architecture-ceiling", "kernel_id": "116918894"}, {"ref": "abdelhakamroune/islr-asl-signs-t4x2", "kernel_id": "116688321"}, {"ref": "hassanrazaq/transformer-model-asl-h5", "kernel_id": "116965257"}, {"ref": "haidy112ibrahim/66-lstm-modification", "kernel_id": "117353886"}, {"ref": "swiri212/asl-evaluation", "kernel_id": "117175004"}, {"ref": "truepathventures/parley-notebook-03-signer-dialect-leave-one-out", "kernel_id": "117098267"}, {"ref": "esraevrim/asl-smalldata", "kernel_id": "118082733"}, {"ref": "aristidesaly/sign-language", "kernel_id": "119839736"}, {"ref": "gianluca02/part-2-project-cv2", "kernel_id": "121938394"}, {"ref": "jaswanthguptha/sign-language", "kernel_id": "122079065"}, {"ref": "syblejan/phase1-english-to-asl-gloss-ipynb", "kernel_id": "124621824"}, {"ref": "syxxzzr/signlang-det-training", "kernel_id": "127301970"}, {"ref": "shadowbit/fork-of-signtranslator", "kernel_id": "130156786"}, {"ref": "aceakaff/sl2sts-notebook", "kernel_id": "132189732"}, {"ref": "bracu23101281/gislr-final", "kernel_id": "134416950"}]}
{"competition_id": "46112", "kernels": [{"ref": "sajeevyadav/hack-automl-cuda", "kernel_id": "34465653"}, {"ref": "tanisha1604/102103611-tanisha-jain", "kernel_id": "50644577"}]}
{"competition_id": "46122", "kernels": []}
{"competition_id": "46124", "kernels": []}
{"competition_id": "46125", "kernels": [{"ref": "zaimataheri1704054/blp-navigator-mm5", "kernel_id": "35257576"}, {"ref": "niditaroy1804018/new-multi", "kernel_id": "35293162"}, {"ref": "abdullahmoosa/p-for-pera-multimodal-sentiment-analysis", "kernel_id": "35195208"}, {"ref": "sajidulmowla/cuet-nlp-noobs", "kernel_id": "35305848"}, {"ref": "sajidulmowla/cuet-nlp-noobs-task1", "kernel_id": "35298514"}, {"ref": "hasanmesbaulalitaher/sentiment-analysis-of-code-mixed-bert", "kernel_id": "35180613"}, {"ref": "hasanmesbaulalitaher/multimodal-notebook-model-3", "kernel_id": "35197071"}, {"ref": "naeem41/mulmodal-senitment-analysisi-high-wf-value", "kernel_id": "73938618"}, {"ref": "aifafaruque/mulmodal-senitment", "kernel_id": "107437458"}, {"ref": "aifafaruque/multimodal-sentiment-bert", "kernel_id": "108947073"}]}
{"competition_id": "46130", "kernels": [{"ref": "rishitabansal/wids-datathon-r", "kernel_id": "34519746"}]}
{"competition_id": "46131", "kernels": [{"ref": "ashokkumargarain/notebook5c7d1da367", "kernel_id": "34526431"}, {"ref": "josejroke/reservas", "kernel_id": "34810872"}, {"ref": "carlosmonchomolla/reserva-carlos", "kernel_id": "34501463"}]}
{"competition_id": "46132", "kernels": []}
{"competition_id": "46133", "kernels": []}
{"competition_id": "46135", "kernels": []}
{"competition_id": "46149", "kernels": [{"ref": "docxian/fathomnet-2023-first-glance", "kernel_id": "36396295"}, {"ref": "ted0071/fathomnet-2023-exploring-data", "kernel_id": "36417115"}, {"ref": "ted0071/fathomnet-2023-baseline-yolov8", "kernel_id": "36448439"}, {"ref": "mpwolke/download-fathom-images", "kernel_id": "36417620"}, {"ref": "mpwolke/denoising-diffusion-fathomnet", "kernel_id": "36378826"}, {"ref": "tom99763/detailed-exploration-of-the-dataset", "kernel_id": "36453198"}, {"ref": "tom99763/class-distribution", "kernel_id": "36527345"}, {"ref": "atogni85/some-reading-materials-while-downloading-imgs", "kernel_id": "36517033"}, {"ref": "satyaprakashshukl/fathomnet-wip", "kernel_id": "36951108"}, {"ref": "carmenreese11/r-loop-to-download-images-from-url", "kernel_id": "36645403"}, {"ref": "smnuruzzaman/fathomnet-eda", "kernel_id": "36961053"}, {"ref": "eor123/download-fathomnet-2023-data", "kernel_id": "36418911"}, {"ref": "paulorzp/sample-submission-baseline", "kernel_id": "37180978"}, {"ref": "tantai/fathomnet-2023-json-parse-and-convert-to-df", "kernel_id": "37029446"}, {"ref": "eor123/aucroc-visualization", "kernel_id": "37476930"}, {"ref": "handeakn/fathomnet23", "kernel_id": "38470559"}, {"ref": "ar4ikov/fathomnet-fast-download", "kernel_id": "38665213"}, {"ref": "mwaseem75/fathomnet2023-exploratory-data-analysis", "kernel_id": "38554283"}, {"ref": "lucaznguyenofficial/fathomnet-2023-visualize-using-grad-cam", "kernel_id": "38497597"}, {"ref": "lucaznguyenofficial/fathomnet-simple-dnn-make-your-1st-submission", "kernel_id": "38346056"}, {"ref": "lucaznguyenofficial/fathomnet-2023-gaussian-mixture-model-osd-score", "kernel_id": "38834580"}, {"ref": "faptimus420/fathomnet-2023-multilabel-class-and-ood-detection", "kernel_id": "39275100"}, {"ref": "szeyuichan/fantom-net-yolov8-baseline", "kernel_id": "46447525"}, {"ref": "szeyuichan/mmdetection-training-cascade-rcnn", "kernel_id": "46800853"}, {"ref": "szeyuichan/fathomnet-0-39-without-download", "kernel_id": "48180898"}, {"ref": "szeyuichan/fathomnet-0-39-stage1", "kernel_id": "48054066"}, {"ref": "hwssssss/fathomnet-0-39-copied-from-artem-istranin", "kernel_id": "48130736"}, {"ref": "cl7203/fathomnet-2023-baseline-yolov8", "kernel_id": "67343067"}, {"ref": "asharsalama202200199/notebooka1289fc9b7", "kernel_id": "114709360"}]}
{"competition_id": "46220", "kernels": []}
{"competition_id": "46314", "kernels": [{"ref": "sidharkal/mlolympiad-with-class-weights", "kernel_id": "34553688"}, {"ref": "himanshowe/breast-cancer-prediction", "kernel_id": "34544263"}, {"ref": "keerthanas57/1ml-olympaid-breastcancer", "kernel_id": "34692146"}, {"ref": "selensalman/breast-cancer-diagnosis-with-decision-tree", "kernel_id": "35062264"}, {"ref": "edaaydinea/ml-olympiad-breast-cancer-diagnosis", "kernel_id": "35209004"}, {"ref": "feyzanurztrk/breast-cancer-diagnosis-classification-models", "kernel_id": "35366270"}, {"ref": "syedsalmanalizaidi/data-transformation-98-breast-cancer-diagnosis", "kernel_id": "61895876"}, {"ref": "anushkacodergirl/mlolympiad-breastcancerdiagnosis", "kernel_id": "62449127"}]}
{"competition_id": "46317", "kernels": []}
{"competition_id": "46319", "kernels": []}
{"competition_id": "46320", "kernels": []}
{"competition_id": "46322", "kernels": []}
{"competition_id": "46335", "kernels": [{"ref": "tracyporter/paper-classification-nlp", "kernel_id": "34580449"}, {"ref": "tracyporter/paper-classification-nlp-lr", "kernel_id": "34596936"}, {"ref": "oldjerry/xgb-tab-rf-lr-fusion-based-on-multi-method", "kernel_id": "34649500"}]}
{"competition_id": "46344", "kernels": []}
{"competition_id": "46375", "kernels": [{"ref": "harsitsinha/ime672", "kernel_id": "45225745"}]}
{"competition_id": "46401", "kernels": []}
{"competition_id": "46408", "kernels": []}
{"competition_id": "46443", "kernels": []}
{"competition_id": "46530", "kernels": [{"ref": "refat094/cnn-hand-written-digit", "kernel_id": "34471000"}]}
{"competition_id": "46538", "kernels": [{"ref": "leeraphael/notebookee13c93d5a", "kernel_id": "34698922"}]}
{"competition_id": "46562", "kernels": [{"ref": "andreifnmg/quais-fatores-impactam-o-agente-causador", "kernel_id": "35431906"}, {"ref": "gabrielpastorello/previs-o-de-diagn-stico-de-s-ndromes-respirat-rias", "kernel_id": "35703088"}, {"ref": "arianacaetano/diagn-stico-com-modelos-de-classifica-o", "kernel_id": "35776439"}, {"ref": "gomes555/ml-olympiad-1-lugar-catboost-pos-process", "kernel_id": "36084679"}, {"ref": "gomes555/ml-olympiad-1-lugar-blending", "kernel_id": "36084915"}, {"ref": "kaikewreis/ml-olypiads-1-lugar-lightgbm-binary-ensemble", "kernel_id": "36078510"}]}
{"competition_id": "46575", "kernels": [{"ref": "davescroggs/predicting-using-tidymodels", "kernel_id": "34647512"}, {"ref": "nickwan/nick-wan-s-6th-place-loo-zar-code", "kernel_id": "34635943"}, {"ref": "jacobsosine/notebookd3702e851f", "kernel_id": "34635979"}, {"ref": "evanhall/optuna-catboost", "kernel_id": "34635952"}, {"ref": "leandrodestefani/xgb-optuna-nested-cv", "kernel_id": "34636024"}]}
{"competition_id": "46660", "kernels": []}
{"competition_id": "46661", "kernels": [{"ref": "tracyporter/show-me-the-money-mlpc", "kernel_id": "34722966"}, {"ref": "tracyporter/show-me-the-money", "kernel_id": "34720326"}, {"ref": "tracyporter/show-me-the-money-proba", "kernel_id": "34736355"}, {"ref": "tracyporter/show-me-the-money-all-features", "kernel_id": "34737224"}]}
{"competition_id": "46670", "kernels": [{"ref": "radicho/tensorflow-t5-model-example-preprocessing", "kernel_id": "34886187"}, {"ref": "petarpepi/mt5-trained-on-full-data", "kernel_id": "35572348"}]}
{"competition_id": "46679", "kernels": []}
{"competition_id": "46684", "kernels": []}
{"competition_id": "46716", "kernels": [{"ref": "zarahshibli/eda-for-sada-dataset", "kernel_id": "34968092"}, {"ref": "batoolhmclass/notebook92eef5168f", "kernel_id": "35861165"}, {"ref": "zarahshibli/keras-model-to-classify-speaker-dialect", "kernel_id": "35922586"}, {"ref": "zarahshibli/speaker-sound-dialect-classification-using-keras", "kernel_id": "35923235"}, {"ref": "ahmedboulahia/arabicdialect", "kernel_id": "35858007"}, {"ref": "salwaalramlawi/saudi-dialect-recognition-using-arabert-features", "kernel_id": "35811983"}, {"ref": "asalhi/starter-training-and-infer-using-arabert", "kernel_id": "35419388"}, {"ref": "abdulazizalsulaiman/audio-classification", "kernel_id": "35439049"}, {"ref": "mohammedsalem2011/notebook7dd6f70c1f", "kernel_id": "35443209"}, {"ref": "munera8/gru-models", "kernel_id": "35986110"}, {"ref": "danaaldossaryai/notebook71e0a5c115", "kernel_id": "35711612"}, {"ref": "taifalmezani/final", "kernel_id": "35798464"}]}
{"competition_id": "46764", "kernels": [{"ref": "fahimshakiltamim/blp-navigator-task-2", "kernel_id": "35228197"}, {"ref": "kawsar17/cuet-genesis-task2", "kernel_id": "35173455"}, {"ref": "niditaroy1804018/2nd-model-69a932", "kernel_id": "35293221"}, {"ref": "sahasourav17/codemixedsentimentanalysis", "kernel_id": "35073068"}, {"ref": "sajidulmowla/cuet-nlp-noobs-task2", "kernel_id": "35298655"}, {"ref": "hasanmesbaulalitaher/sentiment-analysis-of-code-mixed-bert", "kernel_id": "35180613"}, {"ref": "tanzimrahman1804015/natural-looneys-task-2", "kernel_id": "35171036"}, {"ref": "kawsar17/emnlp-2023-task2", "kernel_id": "41431050"}]}
{"competition_id": "46773", "kernels": []}
{"competition_id": "46801", "kernels": [{"ref": "zachmayer/calculate-kenpom-style-ratings", "kernel_id": "35777933"}, {"ref": "nigelhenry/raddar-solution", "kernel_id": "35922524"}, {"ref": "pardeep19singh/extensive-eda-with-actionable-insights", "kernel_id": "35756966"}, {"ref": "toshimelonhead/ncaa-march-madness-sabermetric-spin-v2", "kernel_id": "35117711"}, {"ref": "verracodeguacas/kenneth-pomeroy-data-scraper-no-leakage", "kernel_id": "35120682"}, {"ref": "verracodeguacas/march-madness-eda", "kernel_id": "35154204"}, {"ref": "verracodeguacas/easy-mixer-men-women-updated", "kernel_id": "35422845"}, {"ref": "rustyb/paris-madness-2023", "kernel_id": "35689725"}, {"ref": "dtbingh/was-in-52nd-for-about-10-minutes", "kernel_id": "35514027"}, {"ref": "rsa013/marchmadness-bracket-simulator", "kernel_id": "35993253"}, {"ref": "dwchen/using-538-it-s-that-time-of-the-year-again", "kernel_id": "35609769"}, {"ref": "siddharthkumarsah/march-machine-learning-mania-2023", "kernel_id": "35900497"}, {"ref": "vinitkp/eda-data-visualization", "kernel_id": "35898661"}, {"ref": "theoviel/it-s-that-time-of-the-year-again", "kernel_id": "35137116"}, {"ref": "jazivxt/rusty-robot-shoes", "kernel_id": "35180987"}, {"ref": "stpeteishii/ranking-of-appearances-in-the-tournament", "kernel_id": "35727063"}, {"ref": "stpeteishii/mania-2023-open-tables", "kernel_id": "35724991"}, {"ref": "buchertn/mm-23-win", "kernel_id": "35794162"}, {"ref": "mpwolke/bracketology-march-madness", "kernel_id": "35172859"}, {"ref": "mpwolke/march-mania-2023-brier-attempt", "kernel_id": "35145020"}, {"ref": "santohide/about-evaluation-simple-model-2023ver", "kernel_id": "35202558"}, {"ref": "metlover/building-and-tuning-an-elo-model-for-wncaa-games", "kernel_id": "35117138"}, {"ref": "metlover/how-changing-formats-changes-strategies-for-mmlm", "kernel_id": "35147789"}, {"ref": "nivanovi/march-madness-2023-nn", "kernel_id": "35733091"}, {"ref": "jbomitchell/brier-patch-for-the-sonas-seed-benchmark", "kernel_id": "35289378"}, {"ref": "jbomitchell/copy-of-it-s-that-time-of-the-year-again", "kernel_id": "35987611"}, {"ref": "benjenkins96/deep-learning-techniques-to-predict-march-madness", "kernel_id": "35479156"}, {"ref": "benjenkins96/march-mania-finding-the-signal-before-the-buzzer", "kernel_id": "35277432"}, {"ref": "scottmerrill7/lots-of-madness", "kernel_id": "35985535"}, {"ref": "asimple/eda-teams-mania", "kernel_id": "35128700"}, {"ref": "ankurlimbashia/marchmania-2023-v2", "kernel_id": "35978489"}, {"ref": "takuma0306/read-all-csv", "kernel_id": "35198410"}, {"ref": "pragannisha/ml-mania", "kernel_id": "35619582"}, {"ref": "satyaprakashshukl/mania-eda", "kernel_id": "35119760"}, {"ref": "satyaprakashshukl/csv-competition", "kernel_id": "35132772"}, {"ref": "maheshnanavare/ranking-based-predictions", "kernel_id": "35574148"}, {"ref": "majdghrear/mm-bdt-predictor", "kernel_id": "35899342"}, {"ref": "sanandachowdhury/ncaa-march-madness-sabermetric-spin-v2", "kernel_id": "35909700"}, {"ref": "intensegoat/march-machine-learning-mania", "kernel_id": "35560902"}, {"ref": "publicmikewang/march-madness-model-prediction", "kernel_id": "35337823"}, {"ref": "miltiadesgeneral/marchmadness-xgboostkfolds", "kernel_id": "35892135"}, {"ref": "miltiadesgeneral/webscraping-espn-seed-projections-2023", "kernel_id": "35895055"}, {"ref": "miltiadesgeneral/how-often-does-the-higher-seed-win", "kernel_id": "35761360"}, {"ref": "jonskaza/march-madness", "kernel_id": "35545954"}, {"ref": "caiomelo22/march-madness-2023", "kernel_id": "35989226"}, {"ref": "dbrout/fork-of-optimized-for-2023-use-this", "kernel_id": "36029122"}, {"ref": "sdsufan/march-madness-bracket-probabilities", "kernel_id": "36048865"}, {"ref": "jtrotman/simulate-march-madness-2023-from-submission-csv", "kernel_id": "36381671"}, {"ref": "jtrotman/march-ml-mania-2023-heatmap-of-submissions", "kernel_id": "36175763"}, {"ref": "raddar/ncaa-2023-model-2", "kernel_id": "36036527"}, {"ref": "nigelhenry/why-the-raddar-solution-works", "kernel_id": "36251883"}, {"ref": "davidmezzetti/march-ml-2023-submission-check", "kernel_id": "36064230"}, {"ref": "verracodeguacas/xgboost-men-2023", "kernel_id": "36000010"}, {"ref": "verracodeguacas/xgboost-women-2023", "kernel_id": "36000183"}, {"ref": "mscgeorges/ncaa-teams-clusters", "kernel_id": "36010456"}, {"ref": "rsa013/bracket-simulation-visualization", "kernel_id": "36026073"}, {"ref": "masatomatsui/it-s-that-time-of-the-year-again", "kernel_id": "36088814"}, {"ref": "geraltrivia/march-madness-model", "kernel_id": "36121232"}, {"ref": "vinitkp/r-eda", "kernel_id": "36321849"}, {"ref": "vinitkp/eda-r-data", "kernel_id": "36279457"}, {"ref": "vinitkp/deep-learning-techniques-to-predict-march-madness", "kernel_id": "36502852"}, {"ref": "vinitkp/eda-regression-r", "kernel_id": "36503981"}, {"ref": "manwithaflower/women-only-h2o-models", "kernel_id": "36114336"}, {"ref": "stpeteishii/ranking-of-past-matches-score-difference", "kernel_id": "36054399"}, {"ref": "gumm4n/ncaa-2023comp", "kernel_id": "36118720"}, {"ref": "benjenkins96/convolutional-neural-network-extracting-signal", "kernel_id": "36029462"}, {"ref": "yiningtan/it-s-that-time-of-the-year-again-37684c", "kernel_id": "36049888"}, {"ref": "praveensaik/eda-autolgbm", "kernel_id": "36557460"}, {"ref": "imamahasane/ncaa-basketball-tournaments-forecast", "kernel_id": "36322890"}, {"ref": "linkai861/calculating-team-matchup-probabilities", "kernel_id": "36026609"}, {"ref": "mbund1237/marchmadness", "kernel_id": "36101438"}, {"ref": "sabahesaraki/march-machine-learning-mania-2023", "kernel_id": "36149759"}, {"ref": "masayukikawabata/basket2", "kernel_id": "36145365"}, {"ref": "alihasnainch/machine-learning-mania", "kernel_id": "36064806"}, {"ref": "kaifengguo/it-s-that-time-of-the-year-again", "kernel_id": "36072329"}, {"ref": "peternieuwkerk/elo-mmr-ratings-for-both-men-and-women", "kernel_id": "36121358"}, {"ref": "bryanvernon7/bracket-scoring", "kernel_id": "36227723"}, {"ref": "djscott1909/march-madness-2023-ds", "kernel_id": "37036781"}, {"ref": "matthiask/01-prep-march-mania-2023-data-round-1", "kernel_id": "37232387"}, {"ref": "mineshkumar1495/march-madness-sml-project", "kernel_id": "37475451"}, {"ref": "pwh70411/8th-place-solution", "kernel_id": "37056927"}, {"ref": "tihonby/march-madness-3th-place-solution", "kernel_id": "37217724"}, {"ref": "katievaskeee/deep-learning-techniques-to-predict-march-madness", "kernel_id": "37925782"}, {"ref": "selogamer/paris-madness-2023", "kernel_id": "39796779"}, {"ref": "yasseremam/march-mania-eda", "kernel_id": "40300568"}, {"ref": "bartekcalka/march-madness-eda", "kernel_id": "41161682"}, {"ref": "panosc/s7-exercise", "kernel_id": "49518614"}, {"ref": "panosc/s7-exercise-sports-predictions-ncaa-clean", "kernel_id": "49470782"}, {"ref": "kaito510/1xgold-2xsilvers-key-ingredient", "kernel_id": "51668159"}, {"ref": "beckpro/previous-2022-xgboost-solution-simple-submission", "kernel_id": "51806850"}, {"ref": "publicmikewang/ncaa2024-m-sep", "kernel_id": "51721991"}, {"ref": "saurabhghodam/machine-learning-logisticregression", "kernel_id": "51615327"}, {"ref": "publicmikewang/ncaa2024-prediction-randomforest-w-logistic", "kernel_id": "52669720"}, {"ref": "publicmikewang/ncaa2024-prediction-w", "kernel_id": "52527125"}, {"ref": "publicmikewang/ncaa2024-prediction-m", "kernel_id": "52378939"}, {"ref": "publicmikewang/ncaa2024-w-sep", "kernel_id": "52323216"}, {"ref": "karnakbaevarthur/paris-madness-2023", "kernel_id": "52239607"}, {"ref": "samuelliebert/notebookf8a59eacd3", "kernel_id": "52879179"}, {"ref": "gabeenkimm/eve-final-2024", "kernel_id": "53046504"}, {"ref": "hostnami/notebook50ac3762f5", "kernel_id": "70707251"}, {"ref": "bartomiejgrzegorzek/notebooke8ed964f32", "kernel_id": "70716015"}, {"ref": "takuji/march-mania-2025-tutorial-japanese", "kernel_id": "77064007"}, {"ref": "kychanh/paris-madness-2023", "kernel_id": "77777396"}, {"ref": "stpeteishii/mania2023-baseline-prediction-pipeline", "kernel_id": "89043590"}, {"ref": "evgendvorkin/ensemble-of-lightgbm-and-catboost", "kernel_id": "112271380"}]}
{"competition_id": "46834", "kernels": []}
{"competition_id": "46876", "kernels": [{"ref": "guillaumegm/first-quick-test-with-xgboost", "kernel_id": "34751291"}, {"ref": "patrick0302/pandas-profiling-of-dataset", "kernel_id": "34756841"}, {"ref": "tracyporter/ml-olympiad-et", "kernel_id": "34749376"}, {"ref": "tracyporter/ml-olympiad-mlpr", "kernel_id": "34754774"}, {"ref": "tracyporter/ml-olympiad-sgd", "kernel_id": "34754303"}, {"ref": "tracyporter/ml-olympiad-ridge", "kernel_id": "34755428"}, {"ref": "tracyporter/ml-olympiad-lin-reg", "kernel_id": "34746860"}, {"ref": "samfouad/ml-olympiad-predictive-maintenance-eda", "kernel_id": "43384106"}]}
{"competition_id": "46951", "kernels": [{"ref": "oldjerry/bayes-xgboost", "kernel_id": "34966542"}, {"ref": "wulalala/deepshare-series2-code-2", "kernel_id": "35055839"}, {"ref": "wulalala/deepshare-series2-code-3", "kernel_id": "35277909"}, {"ref": "wulalala/deepshare-series2-code-4", "kernel_id": "35356747"}, {"ref": "wulalala/deepshare-series2-code-5", "kernel_id": "35501800"}, {"ref": "xusong1111/fork-of-fork-of-notebook48cfddf58d", "kernel_id": "36094164"}]}
{"competition_id": "46952", "kernels": [{"ref": "arinko/smilab-bootcamp23-tutorial", "kernel_id": "34733954"}]}
{"competition_id": "46955", "kernels": [{"ref": "lesnoy/example-submission", "kernel_id": "34906700"}, {"ref": "eugenyveles/example-submission", "kernel_id": "34936471"}, {"ref": "jannababicheva/example-submission", "kernel_id": "34968922"}, {"ref": "megazotya/ecg-transformer", "kernel_id": "34936796"}, {"ref": "olegmeshkov/neymark-tsc", "kernel_id": "34977414"}, {"ref": "lutifleksser/notebookbff09ae427", "kernel_id": "34919066"}, {"ref": "bayukovdanial/resnet-sleepsemek", "kernel_id": "34992968"}, {"ref": "katrinvolkova/classification-arrhythmia", "kernel_id": "35006153"}]}
{"competition_id": "46957", "kernels": [{"ref": "oldjerry/fusion-model-for-nlp", "kernel_id": "34899060"}, {"ref": "bendjedouattia/jumia-tunisia", "kernel_id": "35267874"}, {"ref": "amirfares/jumiasentimentanalysis", "kernel_id": "35330265"}]}
{"competition_id": "46965", "kernels": []}
{"competition_id": "46986", "kernels": [{"ref": "matthewjansen/nlp-sentiment-analysis-of-company-reviews", "kernel_id": "34941337"}, {"ref": "ivanshingel/sentiment-analysis-for-company-reviews", "kernel_id": "34846250"}, {"ref": "martynovandrey/autokeras-classifier", "kernel_id": "34887606"}, {"ref": "sergeyyakovlev1312/sentiment-analysis", "kernel_id": "34812244"}, {"ref": "oldjerry/fusion-model-for-classification", "kernel_id": "34804077"}, {"ref": "shreydan/text-classification-bert-accelerate-starter", "kernel_id": "35105867"}, {"ref": "samuelcortinhas/nlp10-transformers", "kernel_id": "35181318"}, {"ref": "mvschamanth/building-text-data-pipeline-for-the-task", "kernel_id": "37252629"}, {"ref": "mahdizamani1205/label-detection-with-tfidfvectorizer", "kernel_id": "39844713"}, {"ref": "dinamamdouh/nlp-sentiment-analysis-of-company-reviews", "kernel_id": "41106443"}, {"ref": "abdallahwagih/nlp-transformers", "kernel_id": "45177699"}, {"ref": "yunsuxiaozi/ettin-encoder-400m-sentiment-analysis", "kernel_id": "92555323"}]}
{"competition_id": "47011", "kernels": [{"ref": "medahmedkrichen/attention-is-all-i-need", "kernel_id": "35199732"}, {"ref": "amariaziz/chatgpt-detector-transformer", "kernel_id": "35825006"}, {"ref": "amirfares/chat-gpt-vs-human", "kernel_id": "35286639"}, {"ref": "oldjerry/multi-model-fusion-based-on-baye", "kernel_id": "35123017"}, {"ref": "oldjerry/capsule-network-based-on-pytorch", "kernel_id": "35136193"}, {"ref": "eslamfouad/detect-chatgpt-answers-initial-implementation", "kernel_id": "39914196"}, {"ref": "kanishk026/detectchatgpt-vs-human-88acc", "kernel_id": "43587929"}]}
{"competition_id": "47015", "kernels": [{"ref": "tracyporter/beer-quality", "kernel_id": "34878482"}, {"ref": "tracyporter/beer-quality-rfc", "kernel_id": "34914482"}, {"ref": "tracyporter/beer-quality-xgb", "kernel_id": "34883765"}, {"ref": "qiaoningchen/beer-classification-xgb-baseline", "kernel_id": "35617427"}]}
{"competition_id": "47025", "kernels": []}
{"competition_id": "47026", "kernels": [{"ref": "antoninadolgorukova/prot-rna-corr-analysis-for-2-citeseq-datasets", "kernel_id": "32449519"}, {"ref": "antoninadolgorukova/interesting-rna-in-2-citeseq-datasets", "kernel_id": "33049316"}, {"ref": "alexandervc/cite-seq2023-dim-red-visualizations", "kernel_id": "34810521"}, {"ref": "alexandervc/cite-seq2023-loader", "kernel_id": "34810231"}, {"ref": "zdebruine/getting-started-with-ml-challenge-2-prediction", "kernel_id": "34808228"}, {"ref": "alexanderdekan/public-xgboost-in-r-without-tuning", "kernel_id": "34816407"}, {"ref": "alexanderdekan/simple-xgboost-without-tuning", "kernel_id": "34816685"}, {"ref": "antoninadolgorukova/citeseq23-exploratory-analysis", "kernel_id": "34810286"}, {"ref": "alexandervc/cite-seq2302-analyze-predictors-for-proteins", "kernel_id": "35767054"}, {"ref": "alexandervc/cite-seq-cd53-vs-cd45-correlation", "kernel_id": "35785548"}, {"ref": "alexandervc/cite-seq2023-eda", "kernel_id": "35732081"}, {"ref": "alexandervc/many-citeseq-01-analyze-protein-data", "kernel_id": "35941119"}, {"ref": "alexandervc/many-citeseq-02-just-load-full-data", "kernel_id": "35986087"}, {"ref": "alexandervc/cite-seq2023-cell-cycle-fail-to-see", "kernel_id": "35163620"}, {"ref": "alexandervc/cite-seq2023-umap-and-cell-types", "kernel_id": "35208622"}, {"ref": "alexandervc/cite-seq2023-feature-importances-with-pca", "kernel_id": "35198211"}, {"ref": "lbsbmsu/cite-seq2023-r", "kernel_id": "35494375"}, {"ref": "visualcomments/multi-modal-cite-seq-clusters", "kernel_id": "35055022"}, {"ref": "visualcomments/multimodal-single-cell-clusters", "kernel_id": "35221803"}, {"ref": "stasborodynkin/cite-seq2023-feature-importances-with-pca", "kernel_id": "35269996"}, {"ref": "antoninadolgorukova/mmscel-cd45-iso-go-enrichment", "kernel_id": "35994089"}, {"ref": "antoninadolgorukova/citeseq2023-importances-intersections", "kernel_id": "35727233"}, {"ref": "antoninadolgorukova/citeseq23-go-enrichment", "kernel_id": "35825726"}, {"ref": "antoninadolgorukova/citeseq23-difference-in-prot-rna-correlations", "kernel_id": "35511595"}, {"ref": "alexandervc/citeseq-nips22-featimport-for-cd32", "kernel_id": "36334873"}, {"ref": "alexandervc/many-citeseq-05-ligand-receptor-pairs", "kernel_id": "36414289"}, {"ref": "alexandervc/citeseq-kaggle2302-featimport-for-cd45ro", "kernel_id": "36186526"}, {"ref": "alexandervc/citeseq-kaggle2302-featimport-for-cd45ra", "kernel_id": "36149849"}, {"ref": "alexandervc/many-citeseq-04-common-genes", "kernel_id": "36142281"}, {"ref": "alexandervc/citeseq-kaggle2302-featimport-for-hl-dra", "kernel_id": "36144215"}, {"ref": "alexandervc/citeseq-kaggle2302-featimport-for-cd27", "kernel_id": "36261991"}, {"ref": "alexandervc/citeseq-kaggle2302-featimport-for-cd161-klrb1", "kernel_id": "36257034"}, {"ref": "sonyagrey/magic-test", "kernel_id": "36209502"}, {"ref": "antoninadolgorukova/cd45-reg-related-rna-in-2-citeseq-datasets", "kernel_id": "36941982"}, {"ref": "antoninadolgorukova/mmscel-cd45related-correlations-by-groups", "kernel_id": "36156531"}, {"ref": "antoninadolgorukova/citeseq23-sample-size-in-boosting-model", "kernel_id": "36199376"}, {"ref": "antoninadolgorukova/citeseq23-ml-models-comparison", "kernel_id": "36336142"}, {"ref": "savinaekaterina/many-citeseq-05-ligand-receptor-pairs", "kernel_id": "36634381"}, {"ref": "sonyagrey/genes-intersection", "kernel_id": "37677194"}]}
{"competition_id": "47045", "kernels": []}
{"competition_id": "47122", "kernels": []}
{"competition_id": "47145", "kernels": [{"ref": "nguyendinhphatk15hl/predictqualitywine", "kernel_id": "35284573"}]}
{"competition_id": "47152", "kernels": []}
{"competition_id": "47175", "kernels": []}
{"competition_id": "47227", "kernels": [{"ref": "dheerajsingh89/dheeraj", "kernel_id": "34990297"}, {"ref": "dekodee/final", "kernel_id": "34988832"}]}
{"competition_id": "47229", "kernels": []}
{"competition_id": "47235", "kernels": []}
{"competition_id": "47241", "kernels": []}
{"competition_id": "47246", "kernels": [{"ref": "fouedayedi/starter-notebook", "kernel_id": "34944471"}, {"ref": "fouedayedi/insightful-eda-and-outliers-handling", "kernel_id": "35116106"}]}
{"competition_id": "47263", "kernels": []}
{"competition_id": "47274", "kernels": [{"ref": "vkehfdl1/baseline-random-forest", "kernel_id": "34957079"}, {"ref": "chickencola/pceo-baseline-random-forest", "kernel_id": "43093867"}, {"ref": "jiweiliu/odsc-hackathon-webinar-demo-notebook-with-t4gpu", "kernel_id": "68028105"}]}
{"competition_id": "47278", "kernels": []}
{"competition_id": "47296", "kernels": []}
{"competition_id": "47317", "kernels": [{"ref": "tmyok1984/pyvips-offline-installer", "kernel_id": "28964723"}, {"ref": "danielhavir/vesuvius-challenge-example-submission", "kernel_id": "35450127"}, {"ref": "jpposma/vesuvius-challenge-ink-detection-tutorial", "kernel_id": "35510203"}, {"ref": "fchollet/per-pixel-classification-2-gpus", "kernel_id": "36191002"}, {"ref": "fchollet/keras-starter-kit-unet-train-on-full-dataset", "kernel_id": "36161714"}, {"ref": "fchollet/a-simple-high-performance-tf-data-pipeline", "kernel_id": "36380806"}, {"ref": "tgibbons/intro-to-u-net-with-keras-and-tensorflow", "kernel_id": "36112338"}, {"ref": "tgibbons/cis-3115-unet-vs-encoder-decoder", "kernel_id": "36599268"}, {"ref": "tmyok1984/vcid-tile-png", "kernel_id": "36104431"}, {"ref": "plarmuseau/woodpattern", "kernel_id": "36940268"}, {"ref": "lucasvw/0-11-simplest-possible-solution-submit-testmask", "kernel_id": "36853149"}, {"ref": "yururoi/pytorch-unet-baseline-with-train-code", "kernel_id": "36194462"}, {"ref": "suneetsaini/vesuvius-challenge-id-pytorch-baseline", "kernel_id": "36220372"}, {"ref": "riferji/optimized-data-reading-on-example-submission", "kernel_id": "36619928"}, {"ref": "mlstudent06/originalvesuviusopen", "kernel_id": "36777506"}, {"ref": "hlly34/pading-extract-patch-data-processing", "kernel_id": "36105375"}, {"ref": "jazivxt/academy-science-fair-knowlege-volcanoes", "kernel_id": "36081872"}, {"ref": "viktorfairuschin/ink-detektion-tutorial-with-tensorflow", "kernel_id": "36366723"}, {"ref": "stpeteishii/ink-detection-surface-volume-slide-show", "kernel_id": "36164927"}, {"ref": "samfc10/vesuvius-challenge-3d-resnet-training", "kernel_id": "36998002"}, {"ref": "ayushmankumar7/some-useful-insights-eda", "kernel_id": "36167711"}, {"ref": "mpwolke/ancient-papyrus-scrolls", "kernel_id": "36081195"}, {"ref": "leventelippenszky/vesuvius-challenge-animation-of-letters", "kernel_id": "36394274"}, {"ref": "leventelippenszky/train-vesuvius-challenge-3d-ink-classifier", "kernel_id": "36758003"}, {"ref": "edomingo/visualization-of-files", "kernel_id": "36079875"}, {"ref": "tanakar/2-5d-segmentaion-baseline-training", "kernel_id": "36831179"}, {"ref": "tanakar/2-5d-segmentaion-baseline-inference", "kernel_id": "36830185"}, {"ref": "kotaiizuka/faster-rle", "kernel_id": "36477273"}, {"ref": "leonidkulyk/eda-vc-id-volume-layers-animation", "kernel_id": "36085169"}, {"ref": "benjenkins96/vesuvius-challenge-eda-baseline-model", "kernel_id": "36180418"}, {"ref": "jamesdavey/s-rensen-dice-coefficient-for-training-data", "kernel_id": "36148904"}, {"ref": "jamesdavey/100x-faster-pixel-coordinate-generator-1s-runtime", "kernel_id": "36156717"}, {"ref": "jamesdavey/baseline-model-inkclassifier3dcnn-from-ink-id", "kernel_id": "36850507"}, {"ref": "lonnieqin/vesuvius-challenge-gif-animation", "kernel_id": "36431579"}, {"ref": "aniarya/preliminary-eda-vesuvius-challenge", "kernel_id": "36999353"}, {"ref": "elmer85/vesuvius-challenge", "kernel_id": "36969559"}, {"ref": "mohammadalnajdawi/ink-detection-eda", "kernel_id": "36188885"}, {"ref": "bibanh/pytorch-0-12-deeplabv3-bceloss", "kernel_id": "36248505"}, {"ref": "matassandoval/ink-detection-tutorial-commented-versin", "kernel_id": "36091354"}, {"ref": "matassandoval/ink-computer-vision", "kernel_id": "36090776"}, {"ref": "bachaboos/s-rensen-dice-coefficient", "kernel_id": "36119977"}, {"ref": "ahnheeyoung1/ink-detection-inference", "kernel_id": "36869077"}, {"ref": "davidrouyre/interactive-visualization", "kernel_id": "36806861"}, {"ref": "matthewbrussell/loading-fragment-data", "kernel_id": "36976372"}, {"ref": "jocelyndumlao/vesuvius-challenge-example-submission", "kernel_id": "36956349"}, {"ref": "jocelyndumlao/vesuvius-challenge-ink-detection-tutorial", "kernel_id": "36954893"}, {"ref": "honishi1/pytorch-unet-combinedloss", "kernel_id": "36669381"}, {"ref": "yusaku5739/making-stacked-image-data-npy", "kernel_id": "36194759"}, {"ref": "fengqilong/vesuvius-inference", "kernel_id": "36993235"}, {"ref": "kongzhangtang/resnet3d-cnn", "kernel_id": "36886013"}, {"ref": "clemchris/vesuvis-pytorch-monai", "kernel_id": "36404297"}, {"ref": "clemchris/vesuvis-data-preparation", "kernel_id": "36553371"}, {"ref": "dietzschenostoevsky/vesuvius-n1-checklist", "kernel_id": "36105071"}, {"ref": "dimitricalmand/cycle-gan-using-unet", "kernel_id": "36109770"}, {"ref": "servipcpanama/hidden-ink-challenge", "kernel_id": "36565091"}, {"ref": "johnzhuang90/ink-detection-pytorch", "kernel_id": "36127645"}, {"ref": "ishrattani/thesis-final", "kernel_id": "36663389"}, {"ref": "mr0106/vcid1", "kernel_id": "36693662"}, {"ref": "paulbacher/eda-vesuvius-challenge-ink-detection", "kernel_id": "36239654"}, {"ref": "ruhul77/ink-detection-with-tensorflow-per-pixel-classi", "kernel_id": "36914301"}, {"ref": "parulchauhan01/vesuvius-challenge-ink-detection-tutorial", "kernel_id": "36726082"}, {"ref": "dimkko/my-submission", "kernel_id": "36943853"}, {"ref": "colewelkins/vesuvius", "kernel_id": "36160205"}, {"ref": "bristondomino/briston-cis-3115-unet-vs-encoder-decoder", "kernel_id": "36635901"}, {"ref": "chenyh368/0-16-pytorch-unet-bce-baseline", "kernel_id": "36208279"}, {"ref": "wxc1999/vesuvius-challenge-example-submission", "kernel_id": "36529628"}, {"ref": "jiaxinpan0624/ink-test", "kernel_id": "36987906"}, {"ref": "brettolsen/image-loading-speed-test", "kernel_id": "36531753"}, {"ref": "brettolsen/efficient-image-loading-with-zarr", "kernel_id": "36517598"}, {"ref": "brettolsen/improving-performance-with-l1-hessian-denoising", "kernel_id": "36544937"}, {"ref": "brettolsen/fast-efficient-image-storing-and-manipulation", "kernel_id": "36635125"}, {"ref": "yo1995yo/vesuvius-sample01", "kernel_id": "36608095"}, {"ref": "jeffborack/vesuvius-v4-1-train", "kernel_id": "37990375"}, {"ref": "jeffborack/vesuvius-tf-not-learning-thoughts", "kernel_id": "37344120"}, {"ref": "nnjjpp/understanding-convolution-layers", "kernel_id": "37320282"}, {"ref": "synset/vesuvius-data-trn-val-tst", "kernel_id": "37907968"}, {"ref": "fpeccia/evaluation-metric-for-keras", "kernel_id": "37091940"}, {"ref": "fpeccia/efficientnet-b0-unet-submission", "kernel_id": "37629688"}, {"ref": "fpeccia/efficientnet-b0-unet-train", "kernel_id": "37944262"}, {"ref": "valeriyl/hsi-vit-test", "kernel_id": "37037194"}, {"ref": "hughsando/visualize-the-3d-fragment-height", "kernel_id": "37067062"}, {"ref": "aritrag/0-11-keras-starter-unet-tf-data-pipeline", "kernel_id": "37280695"}, {"ref": "sherkt1/vesuvius-histograms-of-each-sample-object", "kernel_id": "37508066"}, {"ref": "sherkt1/histograms-ink-vs-scroll", "kernel_id": "37829234"}, {"ref": "stpeteishii/ink-detection-segment-anything-approach", "kernel_id": "37985498"}, {"ref": "leventelippenszky/train-2-5d-pretrained-effnet-b0-ink-classifier", "kernel_id": "37045222"}, {"ref": "leventelippenszky/infer-2-5d-pretrained-effnet-b0-ink-classifier", "kernel_id": "37239880"}, {"ref": "itberrios6/base-dataset", "kernel_id": "37517845"}, {"ref": "itberrios6/ink-distributions", "kernel_id": "37516418"}, {"ref": "itberrios6/point-clouds", "kernel_id": "37295723"}, {"ref": "itberrios6/convert-to-pointcloud", "kernel_id": "37288982"}, {"ref": "yash123raj/notebookc4d63089dd", "kernel_id": "37221508"}, {"ref": "bahadirgunturk/vesuvius-submission-training", "kernel_id": "37818123"}, {"ref": "ajland/tensorflow-implementation-of-tutorial", "kernel_id": "37255025"}, {"ref": "ajland/eda-a-slice-by-slice-analysis", "kernel_id": "37512807"}, {"ref": "sainiamit/vesuvius-challenge-ink-detection", "kernel_id": "37238695"}, {"ref": "amirstash/segmentaion-baseline-png", "kernel_id": "37983875"}, {"ref": "gokulachalamk/vesuvius", "kernel_id": "37103969"}, {"ref": "jimmyisme1/offline-install-for-monai-1-1-0", "kernel_id": "37699104"}, {"ref": "lucario129/train-pipeline-for-vvvs", "kernel_id": "37406347"}, {"ref": "mr0106/vcid2", "kernel_id": "37053713"}, {"ref": "vishakkbhat/eda-vc-id-volume-layers-animation", "kernel_id": "37494225"}, {"ref": "lovefrommonicaca/2-5d-segmentaion-baseline-inference", "kernel_id": "37200735"}, {"ref": "jyueyuyao/submit-testmask", "kernel_id": "37802245"}, {"ref": "brettolsen/adaptive-threshold-selection-using-feature-sizes", "kernel_id": "37097359"}, {"ref": "brettolsen/batch-loading-of-image-data", "kernel_id": "37095584"}, {"ref": "brettolsen/simpler-zarr-tif-image-loading", "kernel_id": "37841306"}, {"ref": "henrikbrk/fragment-flattening", "kernel_id": "37150902"}, {"ref": "supriyaparida/preliminary-eda-vesuvius-challenge", "kernel_id": "37159867"}, {"ref": "allenwpr/baseline-comment-for-new-kaggler", "kernel_id": "37541960"}, {"ref": "stephendemjanenko/x-ray-stats-mean-and-variance", "kernel_id": "38163001"}, {"ref": "hengck23/lb0-68-one-fold-stacked-unet", "kernel_id": "38909459"}, {"ref": "hengck23/lb0-56-one-fold-tta-encoder-pooled-uet-resnet34d", "kernel_id": "38497170"}, {"ref": "jeffborack/mask-submission-test", "kernel_id": "38973228"}, {"ref": "krishnaharish/2-5d-segmentaion-model-with-rotate-tta", "kernel_id": "38428225"}, {"ref": "renman/canonical-ensemble-inference", "kernel_id": "38910677"}, {"ref": "kglspl/simple-vcps-parser", "kernel_id": "38520154"}, {"ref": "ryches/1st-place-solution", "kernel_id": "38741010"}, {"ref": "tenffe/sam-segment-anything-model-baseline-training", "kernel_id": "38456070"}, {"ref": "rainfalllove/dataset-make-stacked-tile-dataset", "kernel_id": "38105804"}, {"ref": "sherkt1/vesuvius-ink-bounding-boxes-distributions", "kernel_id": "38177035"}, {"ref": "sherkt1/ink-bounding-boxes-distributions", "kernel_id": "38174520"}, {"ref": "sherkt1/which-layer-does-the-ink-appear", "kernel_id": "38172702"}, {"ref": "elvenmonk/visualize-ink-to-pixel-value-correlation", "kernel_id": "38602646"}, {"ref": "elvenmonk/pytorch-pygad-training-that-makes-sense", "kernel_id": "38489935"}, {"ref": "elvenmonk/training-no-trimming", "kernel_id": "38481096"}, {"ref": "stpeteishii/ink-detection-dino-self-attention-approach", "kernel_id": "38142027"}, {"ref": "sachinkumar413/vesuvius-challenge-ink-detection-tutorial", "kernel_id": "38300494"}, {"ref": "raki21/surface-map-visualization", "kernel_id": "38645062"}, {"ref": "tomooinubushi/offline-package-wheeler", "kernel_id": "38265626"}, {"ref": "akhilkrishnathinna/vesuvius-competion", "kernel_id": "38237675"}, {"ref": "raphaelrolland/simple-test-notebookd80b0e7c2f", "kernel_id": "38383537"}, {"ref": "mirenaborisova/vesuvius-challenge-rle-albumentations-0-11", "kernel_id": "38791510"}, {"ref": "amirstash/segmentaion-inference-and-tta", "kernel_id": "38425379"}, {"ref": "yoyobar/ink-features-rebuild", "kernel_id": "38508920"}, {"ref": "yoyobar/compressed-image-lossless-6gb", "kernel_id": "38236012"}, {"ref": "yoyobar/2-5d-segmentaion-model-with-rotate-tta", "kernel_id": "38226242"}, {"ref": "yoyobar/3d-resnet-baseline-inference", "kernel_id": "38675558"}, {"ref": "podcastprereamea/vesuvius-challenge-ink-detection", "kernel_id": "38373464"}, {"ref": "kmarkey/albument-architect-and-post-process", "kernel_id": "38439522"}, {"ref": "lucario129/vsvs-myds", "kernel_id": "38657459"}, {"ref": "canobliviate0/2-5d-segmentaion-baseline-inference-qzh-jnu", "kernel_id": "38656165"}, {"ref": "nvasilevn/check1", "kernel_id": "38864934"}, {"ref": "noyhanan/unet-segmentataion-training", "kernel_id": "38514101"}, {"ref": "vishakkbhat/inference-notebook2", "kernel_id": "38646209"}, {"ref": "vishakkbhat/using-efficientnet-b7", "kernel_id": "38884564"}, {"ref": "vishakkbhat/using-mit-b4-fold1", "kernel_id": "38982680"}, {"ref": "dorirosen/ink123", "kernel_id": "38687567"}, {"ref": "urielmalka/ink-detection-uriel-dori", "kernel_id": "38506449"}, {"ref": "branyzheng/vesuvius-challenge-example-submission", "kernel_id": "38584031"}, {"ref": "colewelkins/give-me-words", "kernel_id": "38210264"}, {"ref": "brettolsen/efficient-zarr-loading-and-caching", "kernel_id": "38445483"}, {"ref": "hungyishuoe24091027/vesuvius-challenge-ink-detection-tutorial", "kernel_id": "38159122"}, {"ref": "cognitioncrusader/main-train-vvs", "kernel_id": "38514051"}, {"ref": "kalen9099/vesuvius-challenge", "kernel_id": "38465470"}, {"ref": "daddy02/vesuvius-challenge-3d-resnet-training", "kernel_id": "38707823"}, {"ref": "hengck23/9th-place-final-ensemble", "kernel_id": "39842785"}, {"ref": "hengck23/meanpool-resnet34d-unet", "kernel_id": "39367808"}, {"ref": "jeffborack/vesuvius-6-1-submit", "kernel_id": "39707978"}, {"ref": "jeffborack/vesuvius-v6-1-eval", "kernel_id": "39804546"}, {"ref": "tmyok1984/exp687-inference", "kernel_id": "39941735"}, {"ref": "gpreda/inheritance-multiple-network-architectures-submit", "kernel_id": "39958431"}, {"ref": "yukke42/inkdet-ensemble-tattaka-ron-yukke42-only-yukke42", "kernel_id": "39990309"}, {"ref": "vinitkp/vesuvius-ink-detection-try-parameters", "kernel_id": "39047054"}, {"ref": "mkotyushev/scrolls-inference-agg", "kernel_id": "39861655"}, {"ref": "elvenmonk/surface-map-by-minimal-mean-shift", "kernel_id": "39171495"}, {"ref": "elvenmonk/use-ir-image-to-improve-mask-and-ink-labels", "kernel_id": "39093866"}, {"ref": "elvenmonk/build-light-maps-2", "kernel_id": "39157216"}, {"ref": "elvenmonk/build-light-maps-1-3", "kernel_id": "39156664"}, {"ref": "elvenmonk/visualize-slope-and-aspect-maps", "kernel_id": "39529818"}, {"ref": "stpeteishii/ink-detection-random-forest", "kernel_id": "39623739"}, {"ref": "sasrav/inference-multiple-network-architectures", "kernel_id": "39564268"}, {"ref": "tanakar/2-5d-segmentaion-ensemble-final-stride-4", "kernel_id": "39774244"}, {"ref": "raki21/image-subdivision", "kernel_id": "39940188"}, {"ref": "hideyukizushi/vesuvius-inf-blend-t3-t1-gg102-bb2222", "kernel_id": "39970152"}, {"ref": "abdulkadirguner/14haziran-ensemble-starting-with25d", "kernel_id": "39967097"}, {"ref": "viktorcikojevic/fork-of-ensemble-all-models", "kernel_id": "39998548"}, {"ref": "mipypf/ink-segmentation-2-5d-3dcnn-resnet3dcsn-fp16fold01", "kernel_id": "39336007"}, {"ref": "asheshsaha/meanpool-resnet34d-unet", "kernel_id": "39546945"}, {"ref": "hhgttg/3d-resnet-1", "kernel_id": "39353900"}, {"ref": "adriendebray/resnet18d-inference", "kernel_id": "39630279"}, {"ref": "sabahesaraki/vesuvius-ink-detection-pytorch-segmentation", "kernel_id": "39927297"}, {"ref": "thenoodleninja/exploratory-data-analysis", "kernel_id": "39534832"}, {"ref": "thenoodleninja/fragment-flattening", "kernel_id": "39709571"}, {"ref": "pushkar007/vesuvius-inference-with-3d-resnet", "kernel_id": "39994596"}, {"ref": "noyhanan/unet-segmentataion-inference", "kernel_id": "39149946"}, {"ref": "andydollin21/vesuvius-challenge-ink-detector", "kernel_id": "39623670"}, {"ref": "vishakkbhat/using-mitb-2-fold3", "kernel_id": "39097944"}, {"ref": "vishakkbhat/leave-the-unecessary-pathches", "kernel_id": "39061202"}, {"ref": "vishakkbhat/stratified-k-fold-training", "kernel_id": "39300804"}, {"ref": "vishakkbhat/tiles-extracted", "kernel_id": "39296587"}, {"ref": "vishakkbhat/b2-mit", "kernel_id": "39428278"}, {"ref": "vishakkbhat/ensemble-training-fold-3", "kernel_id": "39412196"}, {"ref": "vishakkbhat/ensemble-training", "kernel_id": "39397557"}, {"ref": "vishakkbhat/post-processing", "kernel_id": "39652374"}, {"ref": "chaitanyakohli678/u-net-with-3dinput-and-2d-output", "kernel_id": "39099886"}, {"ref": "idoronen/ido-ronen-vesuvius-challenge-train-inference", "kernel_id": "39117133"}, {"ref": "ombernoy/2-5d-segmentaion-baseline-inference", "kernel_id": "39237066"}, {"ref": "matanelad/vesuvius-ink-detection", "kernel_id": "39366729"}, {"ref": "yuvalcohen315/ink-notebook", "kernel_id": "39103816"}, {"ref": "hthe24106084/version1", "kernel_id": "39098035"}, {"ref": "hsinnosuke/2-5d-segmentaion-baseline-inference", "kernel_id": "39484618"}, {"ref": "daddy02/get-infer", "kernel_id": "39047403"}, {"ref": "athreyakrishna/tu-resnest50d-4s2x40d", "kernel_id": "39548202"}, {"ref": "athreyakrishna/timm-efficientnet-b3", "kernel_id": "39619274"}, {"ref": "athreyakrishna/resnet34", "kernel_id": "39619689"}, {"ref": "athreyakrishna/resent50", "kernel_id": "39528826"}, {"ref": "athreyakrishna/tu-regnety-064", "kernel_id": "39529333"}, {"ref": "athreyakrishna/ensemble-training-fold-1", "kernel_id": "39485367"}, {"ref": "hengck23/9th-place-final-ensemble-v1", "kernel_id": "40974367"}, {"ref": "sethkitchen/other-scrolls", "kernel_id": "40407040"}, {"ref": "aksell7/3dresnet18-3dresnet34-infer", "kernel_id": "40044423"}, {"ref": "arunodhayan/best-model", "kernel_id": "40024711"}, {"ref": "arunodhayan/2nd-best-model", "kernel_id": "40024852"}, {"ref": "arunodhayan/3rd-best-model", "kernel_id": "40024906"}, {"ref": "kirderf/5min-inference-with-full-gpu-code-4-models-x-4tta", "kernel_id": "40006591"}, {"ref": "chumajin/vcid-6th-place-inference", "kernel_id": "40417944"}, {"ref": "ahnheeyoung1/ink-detection-training", "kernel_id": "40108529"}, {"ref": "vukuranovi/sampling-middle-of-letter-pixels-ink-detection", "kernel_id": "40008198"}, {"ref": "adriendebray/kaggle-to-github", "kernel_id": "40192084"}, {"ref": "traptinblur/3rd-place-ensemble-576-8-384-6-224-8", "kernel_id": "40054338"}, {"ref": "thenoodleninja/resnet18d-training", "kernel_id": "40056522"}, {"ref": "kalen9099/ink0619", "kernel_id": "40015743"}, {"ref": "marisawalters1978/cis-3115-unet-vs-encoder-decoder", "kernel_id": "40448783"}, {"ref": "raki21/training-code-efficientnet-b7-smp", "kernel_id": "41196905"}, {"ref": "challengewinners12/notebookb481c3b9eb", "kernel_id": "41313008"}, {"ref": "datadixit/inference-baseline-vesuvius-segmentation-final", "kernel_id": "42624608"}, {"ref": "ryches/fork-of-3d-unet-inference", "kernel_id": "43203072"}, {"ref": "jirkaborovec/pip-pkg-pyvips-download-offline", "kernel_id": "44179088"}, {"ref": "iliketaiwan0826/vesuviuschallenge01", "kernel_id": "45260411"}, {"ref": "urainezorilgodsbg/vesuvius-challenge-example-submission", "kernel_id": "46986307"}, {"ref": "urainezorilgodsbg/final-project-deep", "kernel_id": "47577454"}, {"ref": "nghaquchtrng/vesuvius-challenge-example-submission", "kernel_id": "47138822"}, {"ref": "nghaquchtrng/keras-starter-kit-unet-train-on-full-dataset", "kernel_id": "47726286"}, {"ref": "melaneemelanee/vesuvius-challenge-ink-detection-tutorial", "kernel_id": "47740413"}, {"ref": "ktakita/volcano-exp051", "kernel_id": "48505957"}, {"ref": "beavaliant/vesuvius-challenge-ink-detection", "kernel_id": "48270179"}, {"ref": "wouterwijkhuizen/keras-unet-train-on-full-datase-self-unet-t", "kernel_id": "57702923"}, {"ref": "johneastvold/cis-3115-unet-vs-encoder-decoder", "kernel_id": "60921700"}, {"ref": "mjulianimsj75/mjuliani-vesuvius-training", "kernel_id": "63382611"}, {"ref": "mirenaborisova/vesuvius-challenge-test", "kernel_id": "79241235"}, {"ref": "mirenaborisova/vesuvius-challenge-train", "kernel_id": "79238468"}, {"ref": "zhufengdan/9th-place-final-ensemble-v1", "kernel_id": "85424425"}, {"ref": "asmaawahba/3d-unet-inference-299f01", "kernel_id": "87050802"}, {"ref": "evanoleary/alexandria-competition-vesuvius-challenge-246262", "kernel_id": "100571917"}, {"ref": "martinsertin/vesuvius", "kernel_id": "106198071"}, {"ref": "rrroundpear/notebookbb2a1d1b6e", "kernel_id": "108589334"}, {"ref": "wymcjwds/3d-resnet-baseline-inference", "kernel_id": "108949387"}, {"ref": "elormyevudza/vesuvify-inference-ensemble-tta", "kernel_id": "110640365"}, {"ref": "slavickciganec/ink-detection", "kernel_id": "125212240"}]}
{"competition_id": "47322", "kernels": []}
{"competition_id": "47327", "kernels": [{"ref": "metlover/john-s-julia-submission", "kernel_id": "84561950"}]}
{"competition_id": "47328", "kernels": [{"ref": "haozeshi/prors-luc-cla", "kernel_id": "34938928"}]}
{"competition_id": "47329", "kernels": []}
{"competition_id": "47330", "kernels": [{"ref": "evanxie1/notebook0886ecf451", "kernel_id": "122240280"}]}
{"competition_id": "47331", "kernels": []}
{"competition_id": "47345", "kernels": []}
{"competition_id": "47347", "kernels": []}
{"competition_id": "47354", "kernels": [{"ref": "reasat/a-token-classification-based-approach", "kernel_id": "35423981"}, {"ref": "shayekh/exploratory-data-analysis-errors", "kernel_id": "35289772"}, {"ref": "shayekh/1st-place-return-zero-inference-code-evaluated", "kernel_id": "35950577"}, {"ref": "shayekh/banglat5-seq2seq-grammatical-error-detection", "kernel_id": "35711624"}, {"ref": "shayekh/1st-place-return-zero-bhashabhrom-trainining", "kernel_id": "35784685"}, {"ref": "ridwanultanvir/eda-and-levenshtein-distance", "kernel_id": "35481676"}, {"ref": "sknahin/vv-error-analysis-and-simple-model-train", "kernel_id": "35671137"}, {"ref": "mdmustafijurrahman/bengali-sentence-tokenization-and-train-custom-nn", "kernel_id": "35059576"}, {"ref": "asifsushmit/bengali-gec-brainstorming", "kernel_id": "35265178"}, {"ref": "sakibbai/error-detection-via-token-classification-multilabe", "kernel_id": "35290698"}, {"ref": "anasmashadchowdhury/training-with-preprocessing", "kernel_id": "35872058"}, {"ref": "anasmashadchowdhury/inference", "kernel_id": "35869890"}, {"ref": "ikramulkayes/mbert-bengali-ner-and-some-logical-stringindexing", "kernel_id": "35402750"}, {"ref": "asibrahman/finetuning-byt5-for-ged", "kernel_id": "36175796"}, {"ref": "sazzadhossain90/finetuning-t5-for-ged", "kernel_id": "73641066"}]}
{"competition_id": "47358", "kernels": []}
{"competition_id": "47378", "kernels": []}
{"competition_id": "47383", "kernels": []}
{"competition_id": "47435", "kernels": []}
{"competition_id": "47437", "kernels": []}
{"competition_id": "47439", "kernels": [{"ref": "sujaykapadnis/book-rating-prediction", "kernel_id": "34987446"}]}
{"competition_id": "47440", "kernels": []}
{"competition_id": "47446", "kernels": []}
{"competition_id": "47450", "kernels": [{"ref": "vkehfdl1/new-baseline", "kernel_id": "34993402"}, {"ref": "chickencola/pceo-new-baseline", "kernel_id": "43093079"}]}
{"competition_id": "47452", "kernels": []}
{"competition_id": "47453", "kernels": [{"ref": "soufianeelhaddad/earthquake-road-crack-detection", "kernel_id": "48574356"}]}
{"competition_id": "47463", "kernels": []}
{"competition_id": "47465", "kernels": []}
{"competition_id": "47493", "kernels": [{"ref": "vivek153/happy-or-sad", "kernel_id": "35223575"}]}
{"competition_id": "47586", "kernels": [{"ref": "nthuaiphys2021/2023-lab-01-answer", "kernel_id": "35055228"}, {"ref": "nthuaiphys2021/2023-lab-01-studenta-id-studentb-id-studentc-id", "kernel_id": "35055146"}, {"ref": "nthuaiphys2021/2023-inclass-01", "kernel_id": "35055029"}]}
{"competition_id": "47589", "kernels": []}
{"competition_id": "47593", "kernels": []}
{"competition_id": "47672", "kernels": [{"ref": "pietromaldini1/psychosis-classification-2-inputs-model", "kernel_id": "35273149"}]}
{"competition_id": "47689", "kernels": []}
{"competition_id": "47726", "kernels": []}
{"competition_id": "47728", "kernels": []}
{"competition_id": "47784", "kernels": []}
{"competition_id": "47789", "kernels": [{"ref": "paddykb/ps-s3e10-gam-finger-on-the-pulsarrrrr", "kernel_id": "35978578"}, {"ref": "phongnguyen1/a-framework-for-classification-e17-12-10", "kernel_id": "35762096"}, {"ref": "jarmos/quick-simple-eda-modelling", "kernel_id": "35977078"}, {"ref": "seascape/how-to-detect-pulsars-with-gam-1st-place", "kernel_id": "35981962"}, {"ref": "oscarm524/ps-s3-ep10-eda-modeling", "kernel_id": "35754276"}, {"ref": "siddharthkumarsah/s3e10-playground-solution", "kernel_id": "35792965"}, {"ref": "kimtaehun/simple-eda-and-baseline-with-lgbm-in-5minutes", "kernel_id": "35754331"}, {"ref": "lowzhao/playground-series-s3e10-nn", "kernel_id": "35988221"}, {"ref": "jrreda/s03e10-pulsar-classification", "kernel_id": "35765122"}, {"ref": "omarvivas/xgb-tpgs-s3e10-v1", "kernel_id": "35757803"}, {"ref": "omarvivas/cb-tpgs-s3e10-v1", "kernel_id": "35757203"}, {"ref": "omarvivas/lgbm-tpgs-s3e10-v1", "kernel_id": "35757360"}, {"ref": "stpeteishii/pss3-ep10-visualize-importance", "kernel_id": "35935675"}, {"ref": "stpeteishii/pss3-ep10-lgbm-with-optuna", "kernel_id": "35935677"}, {"ref": "eliadf/playground-s3e10-eda-baseline", "kernel_id": "35846425"}, {"ref": "mmellinger66/s3e10-pulsar-models", "kernel_id": "35775010"}, {"ref": "mpwolke/pulsars-and-the-little-green-men", "kernel_id": "35757317"}, {"ref": "syerramilli/ps3e10-xgboost-hyperopt", "kernel_id": "35890664"}, {"ref": "syerramilli/ps3e10-catboost-hyperopt", "kernel_id": "35926811"}, {"ref": "jcaliz/ps-s03e10-a-complete-eda", "kernel_id": "35753857"}, {"ref": "catadanna/tab-s3e10", "kernel_id": "35783716"}, {"ref": "killershoaib/ps-e10-feature-engineer-eda-xgboost", "kernel_id": "35778950"}, {"ref": "masatakasuzuki/auto-eda-autoviz-pandas-profiling-sweetviz", "kernel_id": "35804817"}, {"ref": "masatakasuzuki/dim-reduction-with-lgbm-t-sne-umap", "kernel_id": "35851956"}, {"ref": "masatakasuzuki/eda-adversarial-validation-ft-transformer", "kernel_id": "35778878"}, {"ref": "masatakasuzuki/easy-to-use-automl-autogluon", "kernel_id": "35756972"}, {"ref": "masatakasuzuki/simple-eda-lgbm-benchmark", "kernel_id": "35753917"}, {"ref": "masatakasuzuki/good-but-easy-automl-h2o-s3e10", "kernel_id": "35755509"}, {"ref": "amarloni/pgs3e10", "kernel_id": "35803912"}, {"ref": "charunumesh/ps-s3e10-ensemble-smote", "kernel_id": "35819716"}, {"ref": "akioonodera/ps-3-10-lgbm-bin", "kernel_id": "35755089"}, {"ref": "nancysamuel/pss-3-ep-10", "kernel_id": "35754195"}, {"ref": "cihangiryiit/svm-classifier-about-star-class", "kernel_id": "35853605"}, {"ref": "ransakaravihara/quick-model-with-probability-calibration", "kernel_id": "35783115"}, {"ref": "ransakaravihara/ensemble-modeling-with-cb-xgb-lgb", "kernel_id": "35871353"}, {"ref": "andreychubin/pg3e10-catboost-0-03201", "kernel_id": "35980062"}, {"ref": "tylerchi/pycaret-eda-s3e10", "kernel_id": "35993663"}, {"ref": "tracyporter/play-3-10-keras-tf", "kernel_id": "35755854"}, {"ref": "omkarchoulwar/playground-series-s3e10-eda-and-modelling", "kernel_id": "35857573"}, {"ref": "atogni85/ps03e10-eda-outliers-drift-test", "kernel_id": "35846108"}, {"ref": "sergiosaharovskiy/ps-s3e10-2023-eda-and-submission", "kernel_id": "35757800"}, {"ref": "collinsakal/pulsar-eda-xgb-optuna-baseline", "kernel_id": "35873406"}, {"ref": "samuraikaggle/s3e10ens-optuna-cb-xb-lb", "kernel_id": "35770302"}, {"ref": "samuraikaggle/simple-eda-automl-pycaret-s3e10-class", "kernel_id": "35770988"}, {"ref": "alexkonse/ps3e10-cat-ensemble-xgb-0-032", "kernel_id": "35940285"}, {"ref": "sonukumar2k19it124/playground-s3e10-xgb-cat-and-lgm", "kernel_id": "35762742"}, {"ref": "dmitryuarov/ps-s3e10-pulsar-research-0-0321", "kernel_id": "35772987"}, {"ref": "testanother/xgboost-classifier-with-eda", "kernel_id": "35990883"}, {"ref": "testanother/tensorflow-submission", "kernel_id": "35946501"}, {"ref": "donjoeml/catboost-pairwise-outlier-detection", "kernel_id": "35928055"}, {"ref": "jimgruman/season3-episode10", "kernel_id": "35854468"}, {"ref": "tetsutani/ps3e10-eda-xgb-lgbm-cat-ensemble-score-0-03153", "kernel_id": "35774372"}, {"ref": "ashishanton/xgboost-optuna-pulsar-classification", "kernel_id": "35768052"}, {"ref": "barbagrande007/bbg007-s3e10-pulsars", "kernel_id": "35757281"}, {"ref": "satyaprakashshukl/simple-neural-network-ps-series-3-e-10", "kernel_id": "35757211"}, {"ref": "satyaprakashshukl/eda-simple-model", "kernel_id": "35756850"}, {"ref": "satyaprakashshukl/ensemble-classical-model", "kernel_id": "35759277"}, {"ref": "ravi20076/playgrounds3e10-extensiveeda-baseline", "kernel_id": "35787607"}, {"ref": "umanglodaya/playground-series-s3e10-xgboost", "kernel_id": "35850599"}, {"ref": "sujaykapadnis/s3e10-eda", "kernel_id": "35774670"}, {"ref": "xaviernogueira/baseline-pulsars-w-catboost-xgboost", "kernel_id": "35984039"}, {"ref": "sfktrkl/playground-series-season-3-episode-10", "kernel_id": "35755858"}, {"ref": "muhriddinmalik/playgorund-series-competition-notebook", "kernel_id": "35945077"}, {"ref": "klyushnik/episode-10", "kernel_id": "35763208"}, {"ref": "grahambroughton/pulsars-umap-tsne", "kernel_id": "35989092"}, {"ref": "sahilsg/pulsar-ensemble-of-xgb-lgbm-catb-xgbr-fraction", "kernel_id": "35921573"}, {"ref": "eshraqsaeed/the-dead-star", "kernel_id": "35779444"}, {"ref": "rustam1488/s3e10-clf-ens-optuna-lgbm-cb", "kernel_id": "35809335"}, {"ref": "kattat/pulsar-classification-with-tf-df", "kernel_id": "35838912"}, {"ref": "sanandachowdhury/ps-s3-ep10-eda-modeling", "kernel_id": "35833726"}, {"ref": "qiaoningchen/pulsar-binary-logloss-0-03252", "kernel_id": "35754624"}, {"ref": "sahilkumar101/ps3-e10-nn", "kernel_id": "35781615"}, {"ref": "ryotapy/eda-submission-xgboost-lightgbm-score-0-03212", "kernel_id": "35791074"}, {"ref": "denismunene/imabalanced-data-classification-lightgbm", "kernel_id": "35918430"}, {"ref": "saniyatlamim007/ps-3-10-w-xgbregressor", "kernel_id": "35847992"}, {"ref": "mattop/playground-series-s3-e10-eda-tsne-pca", "kernel_id": "35752951"}, {"ref": "lizhecheng/s3e10-catboost-pulsar-classification", "kernel_id": "35759972"}, {"ref": "islandshuwang/playground-s3e10-simple-dnn-by-keras-0-03434", "kernel_id": "35794188"}, {"ref": "javohirtoshqorgonov/pulsar-stars-binary-classification-research", "kernel_id": "35601078"}, {"ref": "chandrashekhargt/pulsar-star-and-basic-eda", "kernel_id": "35777318"}, {"ref": "masayakawamata/s3e10-keras", "kernel_id": "35754100"}, {"ref": "richeyjay/binary-classification-with-pulsar-dataset", "kernel_id": "35816783"}, {"ref": "francescoliveras/ps-s3-e10-eda-model-en-es", "kernel_id": "35761862"}, {"ref": "adityarahul/pgs03e10", "kernel_id": "35811118"}, {"ref": "utkarshgaikwad1994/ps3e10-keras-utkarsh-gaikwad", "kernel_id": "35818595"}, {"ref": "gagan1234444/catboostclassifier-score-0-03299", "kernel_id": "35810633"}, {"ref": "gopimali/pulsar-eda-cat-lgb-xgb-bayes-opt", "kernel_id": "35935437"}, {"ref": "sofiamatias/playground-s3e10", "kernel_id": "35862500"}, {"ref": "ahmadalijamali/analysis-and-prediction-playground-series-s3e10", "kernel_id": "35768366"}, {"ref": "bvinning/s3e10-calibrating-lgbm-and-xgboost", "kernel_id": "35779036"}, {"ref": "sharvalishinde/pss3e10-xgb-stratifiedkfold", "kernel_id": "35760292"}, {"ref": "janmpia/s3-10-visual-eda", "kernel_id": "35755760"}, {"ref": "otsukitoru/tutorials-in-japanese", "kernel_id": "35812523"}, {"ref": "inaciobr/ps-s03e10-pulsar-classification-baseline", "kernel_id": "35920463"}, {"ref": "georgescutelnicu/ps-s3e10-pulsar-classification-catboost", "kernel_id": "35787495"}, {"ref": "mnokno/pulsar-classification-for-class-prediction", "kernel_id": "35778281"}, {"ref": "molgorithm/pulsar-or-not", "kernel_id": "35992249"}, {"ref": "take5555/ps-season-3-episode-10-xgboost-score-0-03222", "kernel_id": "35759251"}, {"ref": "tengluoxiyue/update-0-03207-catboost-with-k-fold", "kernel_id": "35756915"}, {"ref": "tremendous1192/ps-s3-ep-10-02", "kernel_id": "35800368"}, {"ref": "slumericanbx/exercise-joins-and-unions", "kernel_id": "35761138"}, {"ref": "npna144/s3e10", "kernel_id": "35768453"}, {"ref": "hyunyoung/binary-classification-with-deep-learning", "kernel_id": "36085981"}, {"ref": "paddykb/ps-s3e10-flim-flaml-thank-you-ma-am", "kernel_id": "36041406"}, {"ref": "jankuper192/playground-3-10", "kernel_id": "36218748"}, {"ref": "adaubas/pss3e10-3rd-place-solution-gam-gbm", "kernel_id": "36041096"}, {"ref": "cv13j0/season-3-episode-10-assisted-gpt4-model", "kernel_id": "36185963"}, {"ref": "siukeitin/ps-s3e10-integrated-profiles-for-the-htru2-data", "kernel_id": "36082265"}, {"ref": "seascape/how-to-use-pulsar-profiles-in-this-competition", "kernel_id": "36181498"}, {"ref": "docxian/ps-s3-e10-pulsar-classifier", "kernel_id": "36145743"}, {"ref": "docxian/ps-s3-e11-media-campaign-cost-regression", "kernel_id": "36257685"}, {"ref": "datascientistsohail/xgbclassifier-bayesian-se03-ep10", "kernel_id": "36216577"}, {"ref": "datascientistsohail/lgbclassifier-bayesian-se03ep10", "kernel_id": "36158256"}, {"ref": "ndeperrois/sklearn-for-newbies-logistic-reg-random-f-etc", "kernel_id": "36148588"}, {"ref": "dellalkhaled/cart-algorithm-for-binary-classification", "kernel_id": "36013755"}, {"ref": "jrreda/s03e10-keras-kerastuner", "kernel_id": "36041355"}, {"ref": "jrreda/s03e10-autoxgb", "kernel_id": "36113518"}, {"ref": "pranaii/eda-modelling-playground-series-s3-e10", "kernel_id": "36212090"}, {"ref": "syerramilli/ps3e10-xgboost-bayesopt", "kernel_id": "36047897"}, {"ref": "syerramilli/ps3e10-r-gam", "kernel_id": "36109441"}, {"ref": "averma111/ps-s3e10", "kernel_id": "36093287"}, {"ref": "nooruddinqur/pgs03e10", "kernel_id": "36184426"}, {"ref": "aonzahaha/ps-ss3-ep10-xgboost-optuna", "kernel_id": "36163803"}, {"ref": "jbomitchell/pulsar-boltzmann-ensembler", "kernel_id": "36239985"}, {"ref": "nancysamuel/pss-3-ep-11", "kernel_id": "36028857"}, {"ref": "cihangiryiit/logistic-regression-classifier-about-star-class", "kernel_id": "36187669"}, {"ref": "andreychubin/pg3e10-mljar", "kernel_id": "36134360"}, {"ref": "changjae0/logistic-and-tree-classification", "kernel_id": "36220932"}, {"ref": "nyagami/classification-of-pulsars", "kernel_id": "36171055"}, {"ref": "shivijaiswal/playground10", "kernel_id": "36012256"}, {"ref": "warcoder/tf-decision-forest", "kernel_id": "36058631"}, {"ref": "pourchot/pygam-for-generalized-additive-model", "kernel_id": "36173136"}, {"ref": "kimmik123/ps-s3-ep10-ensembling-pytorch", "kernel_id": "36128500"}, {"ref": "anhdangquy/baseline-model", "kernel_id": "36022667"}, {"ref": "ashenranaweera/ps3e10-ensemble-model-score-0-03138", "kernel_id": "36049471"}, {"ref": "seholeee/catboost-lgbm-xgboost-optuna", "kernel_id": "36223036"}, {"ref": "seholeee/automl-mljar", "kernel_id": "36134428"}, {"ref": "ambrosm/pss3e10-7-winning-model", "kernel_id": "36183457"}, {"ref": "ksh9567/catboost-0-03206-very-simple", "kernel_id": "36162047"}, {"ref": "itspavansatish/auto-ml-h20", "kernel_id": "36736904"}, {"ref": "rutujab99/ps3e10-modeltuning-ensemble-ispulsar", "kernel_id": "36273703"}, {"ref": "edwardhuangtw/ps-s3e10-2023", "kernel_id": "36056029"}, {"ref": "xaviernogueira/top-12-ne-p-fe-ensemble-model", "kernel_id": "36115376"}, {"ref": "ashtcoder/pg-s3-e10", "kernel_id": "36144866"}, {"ref": "anchaliyayash/pca-with-oversampling", "kernel_id": "36139469"}, {"ref": "anchaliyayash/plaground-seriess3e10", "kernel_id": "36132164"}, {"ref": "anchaliyayash/cross-validation", "kernel_id": "36177186"}, {"ref": "riyaelizashaju/beginner-catboost-xgboost-lgboost", "kernel_id": "36131914"}, {"ref": "pranavkannepalli/s3e10-ensemble", "kernel_id": "36092952"}, {"ref": "abhinavmangalore/s3e10-playground-pulsar-detection", "kernel_id": "36218316"}, {"ref": "japkeeratsingh/beginner-xgboost-optuna-stratifiedkfold", "kernel_id": "36203426"}, {"ref": "iqbalsyahakbar/ps3e10-first-attempt-at-playground-competition", "kernel_id": "36001705"}, {"ref": "mdbibekahamed/fork-of-notebookce1f2995ff", "kernel_id": "36634480"}, {"ref": "lizhecheng/s3e10-autogluon-to-predict", "kernel_id": "36056002"}, {"ref": "alexandershumilin/ps-s3-e10", "kernel_id": "36009001"}, {"ref": "magnussesodia/ps-s3e10-xgb-catboost-isotonic-regression", "kernel_id": "36190084"}, {"ref": "finnsun/play-groupd-3-10", "kernel_id": "36114980"}, {"ref": "finnsun/play-ground-3-10-quick-solution-score-0-032", "kernel_id": "36072254"}, {"ref": "joehardin369/pulsar-classification-gam-in-r", "kernel_id": "36021229"}, {"ref": "nishantborkar/play-eda-logistic-regression", "kernel_id": "36200557"}, {"ref": "sofiamatias/fast-eda", "kernel_id": "36059727"}, {"ref": "kavishchaudhary1003/playground-s3-e10-optuna-xgb-lgbm-catboost", "kernel_id": "36113112"}, {"ref": "eamonntweedy/playground-s3e10-pulsars-gbdt-ensemble-optuna", "kernel_id": "36067532"}, {"ref": "aigerimtokhmetova/prayground-series", "kernel_id": "36172907"}, {"ref": "iamnotashutosh/pg-s3-e10-eda", "kernel_id": "36067615"}, {"ref": "manteemike/pgs-s3-e10-pulsars-4th-place-code", "kernel_id": "36265212"}, {"ref": "janmpia/animated-competition-explanation", "kernel_id": "36051702"}, {"ref": "wepasabyrow/application-of-all-classification-models", "kernel_id": "36584935"}, {"ref": "wepasabyrow/binary-classification-with-a-pulsar-dataset-eda", "kernel_id": "36546319"}, {"ref": "pouytrewq/playground-s3e10-solution", "kernel_id": "36123309"}, {"ref": "nguyenn95/playground-series-season-3-episode-10", "kernel_id": "36332791"}, {"ref": "okoloboga/pgs-s03e10-densenn", "kernel_id": "36458797"}, {"ref": "cristobalchavez/notebook53fffa08ce", "kernel_id": "36046578"}, {"ref": "scirpus/nobel-prize-is-not-for-girls", "kernel_id": "37374178"}, {"ref": "eslamfouad/playground-series-s3e10-eda-and-mlm", "kernel_id": "37389587"}, {"ref": "anantbansal1223/s3e10-playground-pulsar-detection", "kernel_id": "37946228"}, {"ref": "soraharada/play-s3e10-baseline", "kernel_id": "38192947"}, {"ref": "anaschafikpraydos/binary-classification-with-a-tabular-pulsar-data", "kernel_id": "38305334"}, {"ref": "timothys5/playground-s3e10", "kernel_id": "39629982"}, {"ref": "vstacknocopyright/binary-classification-of-pulsars-with-decisiontree", "kernel_id": "39179533"}, {"ref": "aaaaaadssdasdasd/light-gbm-w-random-search", "kernel_id": "39600834"}, {"ref": "kirtanmatalia26/binary-classification-using-randomforest", "kernel_id": "39625720"}, {"ref": "theholycityweb/binary-classification-with-a-pulsar-stars", "kernel_id": "39082960"}, {"ref": "basirshah/basir-project-binary-classification", "kernel_id": "39803354"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "eslamfouad/statistics-behind-tabular-pulsar-dataset", "kernel_id": "41698971"}, {"ref": "sachinmodi09/kaggle-season-3-episode-10", "kernel_id": "47395518"}, {"ref": "krishanakj/hwk-7", "kernel_id": "47206825"}, {"ref": "iosaman/pca-with-oversampling", "kernel_id": "50425814"}, {"ref": "goyalharshit03/pca-hg", "kernel_id": "50147907"}, {"ref": "himanshu230/notebook6ca3f55bea", "kernel_id": "50779592"}, {"ref": "yogeshratheea/notebook4ff47d7b29", "kernel_id": "50458586"}, {"ref": "yogeshratheea/pg3e10", "kernel_id": "50458885"}, {"ref": "yogeshratheea/notebookc7d5390b82", "kernel_id": "50458773"}, {"ref": "hardikgarg03/pulsar-prediction-99-accuracy-random-forest", "kernel_id": "51720396"}, {"ref": "raghav723/tabular-pulsar-dataset-using-binary-classification", "kernel_id": "51627199"}, {"ref": "ujjvalvashisht/binary-classification-with-tabular-pulsar-data", "kernel_id": "51532309"}, {"ref": "thaparrishav/pulsardata-catboost", "kernel_id": "51480327"}, {"ref": "puneetgupta24/binary-classification-with-a-tabular-pulsar-datase", "kernel_id": "53332410"}, {"ref": "bryceadk/b-j-csc502-project", "kernel_id": "53043405"}, {"ref": "kartikye10/binary-classification-with-a-tabular-pulsar-xgb", "kernel_id": "54151606"}, {"ref": "roua91/digitalization-impact-on-economic-growith", "kernel_id": "75332673"}, {"ref": "nush314/eda-prac", "kernel_id": "82222776"}, {"ref": "jayendrajeetchauhan/binary-classification-with-a-pulsardataset-98", "kernel_id": "95710023"}]}
{"competition_id": "47790", "kernels": [{"ref": "phongnguyen1/a-framework-for-tabular-regression-e9-8-6", "kernel_id": "34829999"}, {"ref": "paddykb/ps-s3e11-flaml-bfi-brute-force-ignorance", "kernel_id": "36374287"}, {"ref": "paddykb/ps-s3e11-pump-up-the-gam", "kernel_id": "36292575"}, {"ref": "paddykb/ps-s3e11-no-ml-no-cry", "kernel_id": "36541827"}, {"ref": "phongnguyen1/a-framework-for-tabular-regression-e16-14-11", "kernel_id": "36319473"}, {"ref": "jankuper192/playground-3-11-h20-modellen", "kernel_id": "36236114"}, {"ref": "adaubas/ps-s3e11-gpu-cudf-no-ml-no-cry", "kernel_id": "36711244"}, {"ref": "adaubas/pss3e11-what-a-strange-target", "kernel_id": "36379215"}, {"ref": "adaubas/pss3e11-gpu-xgb-fe", "kernel_id": "36426533"}, {"ref": "laurao/ps3e11-eda-data-prep-kfold-lgbm", "kernel_id": "36501034"}, {"ref": "cv13j0/playground-series-s3-e11", "kernel_id": "36692432"}, {"ref": "davidhguerrero/230321-pss3-e11-media-campaign-cost", "kernel_id": "36291657"}, {"ref": "brolak/e11-eda-catboost-hypertuning", "kernel_id": "36327301"}, {"ref": "brolak/e11-polynomial-features-xgboost", "kernel_id": "36756433"}, {"ref": "jarmos/comprehensive-eda-modelling-notebook", "kernel_id": "36233544"}, {"ref": "docxian/ps-s3-e11-media-campaign-cost-regression", "kernel_id": "36257685"}, {"ref": "datascientistsohail/media-campaign-bayesian-lgbmregressor-se03ep11", "kernel_id": "36817631"}, {"ref": "nikitagrec/best-kernel-score-0-29262-simplest-stacking", "kernel_id": "36377699"}, {"ref": "nikitagrec/top-1-catboost-0-2947-loss-trick", "kernel_id": "36233696"}, {"ref": "oscarm524/ps-s3-ep11-eda-modeling", "kernel_id": "36252013"}, {"ref": "siddharthkumarsah/s3e11-exploring-multiple-solutions", "kernel_id": "36456602"}, {"ref": "siddharthkumarsah/s3e11-playground-extensive-eda", "kernel_id": "36386440"}, {"ref": "siddharthkumarsah/s3e11-playground-solution", "kernel_id": "36286049"}, {"ref": "kimtaehun/quick-eda-and-simple-baseline-with-xgb", "kernel_id": "36234591"}, {"ref": "craigmthomas/play-s3e11-eda-models", "kernel_id": "36262854"}, {"ref": "bwallyn/playground-s03-e11-model-catboost", "kernel_id": "36411657"}, {"ref": "ndeperrois/sklearn-for-newbies-regression-boosting", "kernel_id": "36327921"}, {"ref": "dellalkhaled/pca-in-one-function", "kernel_id": "36621698"}, {"ref": "omarvivas/lgbm-tpgs-s3e11-v1", "kernel_id": "36259413"}, {"ref": "omarvivas/xgb-tpgs-s3e11-v1", "kernel_id": "36259560"}, {"ref": "omarvivas/keras-tpgs-s3e11-v1", "kernel_id": "36259617"}, {"ref": "omarvivas/torch-tpgs-s3e11-v1", "kernel_id": "36259706"}, {"ref": "omarvivas/cb-tpgs-s3e11-v1", "kernel_id": "36256200"}, {"ref": "stpeteishii/pss3-ep11-visualize-importance", "kernel_id": "36386267"}, {"ref": "stpeteishii/pss3-ep11-lgbm-with-optuna", "kernel_id": "36386271"}, {"ref": "tolgayan/simple-yet-effective-lb-0-29475", "kernel_id": "36298368"}, {"ref": "eliadf/pg-s3e11-eda-baseline-optimization", "kernel_id": "36239209"}, {"ref": "ted0071/ps3e11-eda-model", "kernel_id": "36299301"}, {"ref": "lunaayase1993/playground-series-s3e11", "kernel_id": "36776586"}, {"ref": "mmellinger66/ps3e11-eda-xgb-lgbm-cat", "kernel_id": "36301002"}, {"ref": "pranaii/eda-fe-modelling-playground-series-s3-e11", "kernel_id": "36355007"}, {"ref": "mpwolke/rmsle-constant-and-random-predictions", "kernel_id": "36261578"}, {"ref": "mpwolke/cost-of-media-campaign-h2oautoml", "kernel_id": "36248942"}, {"ref": "syerramilli/ps3e11-keras-bayesopt-ensemble", "kernel_id": "36295667"}, {"ref": "syerramilli/ps3e11-catboost-bayesopt", "kernel_id": "36288960"}, {"ref": "syerramilli/ps3e11-lightgbm-bayesopt-optuna", "kernel_id": "36337275"}, {"ref": "syerramilli/ps3e11-xgboost-bayesopt", "kernel_id": "36263679"}, {"ref": "kumarsakshat22/plays3e11", "kernel_id": "36699656"}, {"ref": "kumarsakshat22/playground-series-s3e11", "kernel_id": "36412874"}, {"ref": "averma111/playground-s3e11", "kernel_id": "36705428"}, {"ref": "averma111/playground-s3e11-xgboost-lgbm", "kernel_id": "36739427"}, {"ref": "tttrrraaahhh/notebooke85df3b5d9", "kernel_id": "36769708"}, {"ref": "airqualityanthony/playground-series-3-episode-11-xgboost-hyperopt", "kernel_id": "36281989"}, {"ref": "paw27182/ps3e11-lightgbm-optuna-kfold", "kernel_id": "36508935"}, {"ref": "rianferian/eda-adversarial-validation-and-simple-xgboost", "kernel_id": "36399363"}, {"ref": "arunpurakkatt/adversarial-validation-xgb", "kernel_id": "36607217"}, {"ref": "dongjun819/pgs3-11-eda-feature-importances", "kernel_id": "36266467"}, {"ref": "killershoaib/pse11-eda-xgboost", "kernel_id": "36284572"}, {"ref": "aonzahaha/ps3e11-xgboost-tuning-permutation-importance", "kernel_id": "36321628"}, {"ref": "gabrielott/ep-11-medeiros", "kernel_id": "36827679"}, {"ref": "amarloni/pycaret-s3e11", "kernel_id": "36308201"}, {"ref": "amarloni/pgs3e11", "kernel_id": "36230457"}, {"ref": "charunumesh/ps-s3-e11-eda-xgb", "kernel_id": "36268080"}, {"ref": "akioonodera/ps-3-11-lgbm-reg", "kernel_id": "36304136"}, {"ref": "nancysamuel/pss-3-ep-11", "kernel_id": "36028857"}, {"ref": "pe4eniks/lightgbm-catboost-xgboost-rmsle-no-eda", "kernel_id": "36279842"}, {"ref": "ericdeuber/store-cost-predictions-playground-s3e11", "kernel_id": "36513733"}, {"ref": "andreychubin/lazy-prediction-with-mljar", "kernel_id": "36294008"}, {"ref": "andreychubin/pg3e11-eda-and-lgbm-optuna", "kernel_id": "36290418"}, {"ref": "hamzaboulahia/ps3e11", "kernel_id": "36278896"}, {"ref": "tracyporter/play-3-11-tf-dnn", "kernel_id": "36241181"}, {"ref": "warcoder/mlflow-hyperopt", "kernel_id": "36534274"}, {"ref": "arlle26/s3e11-eda-multi-model-xgb-tunning-lb0-298", "kernel_id": "36274186"}, {"ref": "marioshadjiantonis/playground-series-s03ep1", "kernel_id": "36412573"}, {"ref": "hsin1022/s3e11-lm-model-in-r-using-caret-package", "kernel_id": "36281986"}, {"ref": "hsin1022/s3e11-r-gam-model-without-tuning", "kernel_id": "36330445"}, {"ref": "atogni85/s03e11-man-auto-f-eng-opt-catboost-top-20-lb", "kernel_id": "36353917"}, {"ref": "atogni85/s03e11-less-is-more", "kernel_id": "36501063"}, {"ref": "atogni85/pgs03e11-eda-store-id-f-eng-top-10-lb", "kernel_id": "36268251"}, {"ref": "hlgdatascience/intuitive-understanding-of-rmsle", "kernel_id": "36426132"}, {"ref": "yimingliang/pss3-e11-eda-lgbm-feature-importance", "kernel_id": "36369453"}, {"ref": "shashwatraman/eda-adversarial-validation-and-simple-xgboost", "kernel_id": "36240836"}, {"ref": "romrawinchumpu/ps-s3e11-quick-media-campaign-cost-dataset", "kernel_id": "36611435"}, {"ref": "raphaelmarconato/s3e11-eda-and-machine-learning", "kernel_id": "36296339"}, {"ref": "jedchristensen/season-3-episode-11-initial-eda-modeling", "kernel_id": "36387010"}, {"ref": "dillanwilliams/ps-3-11", "kernel_id": "36332757"}, {"ref": "mckayla/ps-s3e11", "kernel_id": "36290241"}, {"ref": "keenanzhuo/ps3e11-basic-eda-regression-updated", "kernel_id": "36445408"}, {"ref": "zhukovoleksiy/ps3e11-ensemble-prediction", "kernel_id": "36613438"}, {"ref": "bonniehall/ps3-e11-initial-eda-baseline-models", "kernel_id": "36252063"}, {"ref": "sergiosaharovskiy/ps-s3e11-2023-eda-and-submission", "kernel_id": "36261460"}, {"ref": "collinsakal/eda-catboost-optuna-baseline", "kernel_id": "36262157"}, {"ref": "kimmik123/starter-notebook-ps-s3e11", "kernel_id": "36312145"}, {"ref": "baokar7/ps-s3e11-xgb-with-feature-importance-and-optuna", "kernel_id": "36549802"}, {"ref": "mohammadrazeghi/playgrounds3e11-simple-eda-regressionmodeling", "kernel_id": "36381280"}, {"ref": "macklinshanahan/notebook-ep11", "kernel_id": "36264967"}, {"ref": "numanynklr/ps3e11-eda-base-model", "kernel_id": "36243960"}, {"ref": "cyberblack0/notebookf8a76f03ed", "kernel_id": "36363772"}, {"ref": "tetsutani/ps3e11eda-shap-permutation-k-means-ensemble", "kernel_id": "36270429"}, {"ref": "raghulraj422/s3e11-eda-xgboostregressor", "kernel_id": "36249732"}, {"ref": "kiran1204/eda-simple-xgb-regressor", "kernel_id": "36807285"}, {"ref": "lucasseiti/catboostregressor", "kernel_id": "36690409"}, {"ref": "alexandrepetit881234/s3e11-media-campaign-eda-and-benchmarking", "kernel_id": "36242915"}, {"ref": "ashenranaweera/automl-model-ps-s03e11", "kernel_id": "36333561"}, {"ref": "seholeee/automl-mljar2", "kernel_id": "36611449"}, {"ref": "seholeee/automl-mljar-2", "kernel_id": "36273261"}, {"ref": "seholeee/catboost-pool", "kernel_id": "36272088"}, {"ref": "seholeee/catboostregressor", "kernel_id": "36270255"}, {"ref": "seholeee/optuna-xgboost-lgbm-catboost-ensemble", "kernel_id": "36263351"}, {"ref": "next1011/use-lightautoml-ps3e11", "kernel_id": "36392825"}, {"ref": "ambrosm/pss3e11-zoo-of-models", "kernel_id": "36522081"}, {"ref": "blessingumoru/pgs3e11-ensemble-feature-eng", "kernel_id": "36798549"}, {"ref": "barbagrande007/bbg007-s3e11-mediacost", "kernel_id": "36301155"}, {"ref": "satyaprakashshukl/fast-eda-s-11", "kernel_id": "36752368"}, {"ref": "satyaprakashshukl/neural-network-ps-series-3-e-11", "kernel_id": "36722575"}, {"ref": "satyaprakashshukl/simple-model-boost", "kernel_id": "36589320"}, {"ref": "ravi20076/playgrounds3e11-extensiveeda-ensemble", "kernel_id": "36297718"}, {"ref": "sujaykapadnis/s3e11-eda", "kernel_id": "36256113"}, {"ref": "itspavansatish/automl-vs-optuna", "kernel_id": "36417080"}, {"ref": "dharmaputra13/media-cost-playground", "kernel_id": "36437945"}, {"ref": "daltondencklau/ps3-ep11-eda-baseline-models", "kernel_id": "36252062"}, {"ref": "rutujab99/ps3e11-completeworkflow", "kernel_id": "36366276"}, {"ref": "edwardhuangtw/top-19-ps-s3-ep11-auto-ml", "kernel_id": "36264352"}, {"ref": "bradywagner/initial-eda-and-modeling", "kernel_id": "36309634"}, {"ref": "omarvar2000/ps-s3e11-notebook", "kernel_id": "36565038"}, {"ref": "horikk/playground-pjt-xgboost", "kernel_id": "36648830"}, {"ref": "ridwanakmal/eda-lgbm-baseline", "kernel_id": "36270567"}, {"ref": "klyushnik/episode-11", "kernel_id": "36547479"}, {"ref": "chongjiaxu/easy-random-forest", "kernel_id": "36262662"}, {"ref": "rgowerbruh/basic-stacking-for-regression", "kernel_id": "36411486"}, {"ref": "rgowerbruh/optuna-for-beginners", "kernel_id": "36303597"}, {"ref": "ashtcoder/pg-se-e11-eda-feateng-ensemble", "kernel_id": "36625159"}, {"ref": "iniyatj/playground-series-s3e11-xgb", "kernel_id": "36751952"}, {"ref": "sanandachowdhury/simple-yet-effective-lb-0-29475", "kernel_id": "36310348"}, {"ref": "bhavyagiri/ps-s3e11-eda-xgbregressor", "kernel_id": "36490049"}, {"ref": "qiaoningchen/eda-at-a-glance-s3e11", "kernel_id": "36249035"}, {"ref": "qiaoningchen/firsttry-xgb-rmlse-0-29913", "kernel_id": "36257802"}, {"ref": "qiaoningchen/2schools-of-thoughts-target", "kernel_id": "36605368"}, {"ref": "sahilkumar101/ps3-e11-nn", "kernel_id": "36291796"}, {"ref": "ryotapy/simpleeda-simplemodel-xgb-lgb-cat-0-29694", "kernel_id": "36230637"}, {"ref": "zonwie/s3e11-beginner-decisiontree", "kernel_id": "36405284"}, {"ref": "thedwong/s3-e11-eda-base-models", "kernel_id": "36347989"}, {"ref": "kapturovalexander/kapturov-s-playground-series-s3-e11", "kernel_id": "36878763"}, {"ref": "denismunene/ensemble-learning", "kernel_id": "36478497"}, {"ref": "glavianhcastelino/playground-series-season-3-episode-11playground", "kernel_id": "36354073"}, {"ref": "camillagretschel/tps-s3e11", "kernel_id": "36235655"}, {"ref": "hongseoi/pss3e11-automl-using-autogluon", "kernel_id": "36272672"}, {"ref": "japkeeratsingh/beginner-xgboost-optuna-kfold", "kernel_id": "36308966"}, {"ref": "iqbalsyahakbar/ps3e11-ensemble-time", "kernel_id": "36496258"}, {"ref": "iqbalsyahakbar/pygam-experiment", "kernel_id": "36459883"}, {"ref": "iqbalsyahakbar/ps3e11-lightgbm-without-tuning", "kernel_id": "36472255"}, {"ref": "iqbalsyahakbar/ps3e11-eternal-xgboost-for-the-lazy", "kernel_id": "36356755"}, {"ref": "iqbalsyahakbar/ps3e11-feature-selection-engineering-combo", "kernel_id": "36348504"}, {"ref": "iqbalsyahakbar/ps3e11-simple-eda-fe-and-model-for-beginners", "kernel_id": "36264816"}, {"ref": "takahironamatame/ps-s3e11-baseline-xgb", "kernel_id": "36334309"}, {"ref": "swagatobhaskar/pg-s3-e11-media-campaign-cost-regression", "kernel_id": "36294956"}, {"ref": "tmleyncodes/playground-series-season-3-episode-11", "kernel_id": "36507949"}, {"ref": "mattop/playground-series-s3-e11-eda-tsne-pca", "kernel_id": "36244373"}, {"ref": "chiragksharma/linear-lasso-dt-randomforest-xgboost", "kernel_id": "36800648"}, {"ref": "alexbostick/cat-regressor-with-feature-engineering", "kernel_id": "36639954"}, {"ref": "keerthanas57/playground-series", "kernel_id": "36516474"}, {"ref": "richeyjay/media-campaign-cost-xgbr-eda", "kernel_id": "36597924"}, {"ref": "francescoliveras/ps-s3-e11-eda-model-en-es", "kernel_id": "36233462"}, {"ref": "alvinmanojalex/p-s3-e11-data-analysis-outlier-analysis", "kernel_id": "36265979"}, {"ref": "alvinmanojalex/p-s3-e11-features-lgbm-vs-xgb", "kernel_id": "36332864"}, {"ref": "kirillka95/s3e11-eda-models-test-optuna-ensemble", "kernel_id": "36364106"}, {"ref": "helmynaufal/media-campaign-cost-prediction", "kernel_id": "36285297"}, {"ref": "christrandata/interactive-eda-baseline-model", "kernel_id": "36252337"}, {"ref": "belati/media-campaign-cost-pseudo-labelling", "kernel_id": "36281949"}, {"ref": "asadcuet/cold-spark-pc-1", "kernel_id": "36526739"}, {"ref": "abocadobaby/ps-3-ep-11-xgboost-regressor", "kernel_id": "36705955"}, {"ref": "espjames/ps3e11-catboost", "kernel_id": "36278486"}, {"ref": "sofiamatias/playground-s3e11-regression-with-auto-sklearn", "kernel_id": "36484445"}, {"ref": "kimseoknam/playground-episode", "kernel_id": "36345750"}, {"ref": "kavishchaudhary1003/playground-s3-e11-optuna-xgb-lgbm-catboost", "kernel_id": "36288468"}, {"ref": "anushreek15/playground-series", "kernel_id": "36726352"}, {"ref": "micaeld/playground-series-s3e1-decisiontree", "kernel_id": "36337828"}, {"ref": "byronjehrke/byron-s-notebook", "kernel_id": "36331014"}, {"ref": "laraiki/bl-playground-series-s3e11", "kernel_id": "36393874"}, {"ref": "abolajiatobatele/notebook79195e5979", "kernel_id": "36746698"}, {"ref": "timothylincoln2/s3-e11-ps-cost-prediction-with-eda", "kernel_id": "36332787"}, {"ref": "sharvalishinde/ps-s3e11-basic-eda-fe-xgb-lgbm-ensemble", "kernel_id": "36478017"}, {"ref": "ryangreiner/s3-e11-initial-eda", "kernel_id": "36329568"}, {"ref": "iamnotashutosh/xgb-lgbm-catboost-optuna", "kernel_id": "36578071"}, {"ref": "andreaskaufmann/s3e11-dnn-cv", "kernel_id": "36764953"}, {"ref": "pradeepsapparapu/playground-series-best-models", "kernel_id": "36761899"}, {"ref": "amitabhanand21/basic-eda-and-model-implementation-s3e11", "kernel_id": "36557139"}, {"ref": "dongkyumoon/tabnet-with-optuna", "kernel_id": "36672407"}, {"ref": "pangya/playground-s3e11-cost", "kernel_id": "36697082"}, {"ref": "boyochan/eda-catboost-with-optuna", "kernel_id": "36283688"}, {"ref": "janmpia/s3-11-visual-eda", "kernel_id": "36246534"}, {"ref": "janmpia/what-you-need-to-know-about-this-competition", "kernel_id": "36372992"}, {"ref": "janmpia/feature-eng-xgb-cat-ensemble-0-29265", "kernel_id": "36630611"}, {"ref": "panini92/playground-series-s3e11", "kernel_id": "36260141"}, {"ref": "rozddh/mlproj-model-adaboost", "kernel_id": "36827798"}, {"ref": "keejuneman/playground-series-s3e11", "kernel_id": "36345443"}, {"ref": "keejuneman/stacking-lgbm", "kernel_id": "36613158"}, {"ref": "keejuneman/stacking-cat", "kernel_id": "36658957"}, {"ref": "keejuneman/stacking-real", "kernel_id": "36661268"}, {"ref": "keejuneman/stacking-lasso-ridge", "kernel_id": "36647332"}, {"ref": "haegil/mlproject-palyground-s3e11", "kernel_id": "36706911"}, {"ref": "haegil/project-ps3e11-submission", "kernel_id": "36351097"}, {"ref": "grantgonnerman/ps-s3-e11-eda-and-model-comparisons", "kernel_id": "36258695"}, {"ref": "rebeccams/cia-3", "kernel_id": "36611971"}, {"ref": "anaghanair06/media-cost", "kernel_id": "36325822"}, {"ref": "vayllanvictordesouza/mid-sem-catboost-regressor", "kernel_id": "36591019"}, {"ref": "marceliussteven/quick-eda-xgboost-model", "kernel_id": "36410476"}, {"ref": "marceliussteven/ps3e11-eda-data-preprocessing-modeling", "kernel_id": "36285564"}, {"ref": "eleonoraricci/pgs-s3e11-pytorch-implementation", "kernel_id": "36248431"}, {"ref": "nguyenn95/playground-series-season-3-episode-11", "kernel_id": "36379117"}, {"ref": "sumedhakoranga/ps-s3e11-dummy", "kernel_id": "36490037"}, {"ref": "sumedhakoranga/ps-s3e11-eda", "kernel_id": "36503441"}, {"ref": "sumedhakoranga/ps-s3e11-neural-network", "kernel_id": "36710023"}, {"ref": "sumedhakoranga/ps-s3e11-linearregression-with-ht", "kernel_id": "36621601"}, {"ref": "sumedhakoranga/ps-s3e11-dummy-with-hyperparameter-tuning", "kernel_id": "36609721"}, {"ref": "sumedhakoranga/ps-s3e11-xgbregressor", "kernel_id": "36542704"}, {"ref": "sumedhakoranga/ps-s3e11-linearregression", "kernel_id": "36542250"}, {"ref": "nakulshahdadpuri314/basic-feature-engineering-with-xgboost-optuna", "kernel_id": "36459724"}, {"ref": "tengluoxiyue/eda-report-catboost-solution", "kernel_id": "36285166"}, {"ref": "tremendous1192/ps-s3-ep11-2023-01-visual-eda", "kernel_id": "36271399"}, {"ref": "shidhantrai/cia-3", "kernel_id": "36361859"}, {"ref": "okoloboga/pgs-s03e11-regression-nn", "kernel_id": "36508710"}, {"ref": "cristobalchavez/xgboost-drop-columns-and-tuning-with-optuna", "kernel_id": "36823513"}, {"ref": "anoyan/a-random-forest-baseline", "kernel_id": "36341014"}, {"ref": "sunyoungyoun/mini-project-playground-se3-ep-11", "kernel_id": "36352366"}, {"ref": "kasperlindmark/social-notebook", "kernel_id": "36380655"}, {"ref": "fzjld1994/eda-e3-s11", "kernel_id": "37570262"}, {"ref": "harisharma1111/xgbregressor-optuna-playground-series-s3e11", "kernel_id": "37496739"}, {"ref": "boydwerkman/basic-eda-seaborn", "kernel_id": "37744131"}, {"ref": "timerain/eda-and-baseline-with-linearregress-xgb", "kernel_id": "37569087"}, {"ref": "abdelrahmanaboelnaga/neural-network", "kernel_id": "37313210"}, {"ref": "nickseader/s3e11-media-cost", "kernel_id": "37015748"}, {"ref": "chetantalele/regression-on-tabular-media-campaign-cost-dataset", "kernel_id": "37045542"}, {"ref": "kushalpasumarty/notebook97d8ddca85", "kernel_id": "37302619"}, {"ref": "vineetkumar1611/campaign-cost", "kernel_id": "37284321"}, {"ref": "subzait/iit-research", "kernel_id": "38813919"}, {"ref": "bhuvanagayathri/regression-with-a-tabular-media-campaign-cost-data", "kernel_id": "38957161"}, {"ref": "nivedithavudayagiri/media-campaign-cost-eda-baseline", "kernel_id": "39561371"}, {"ref": "evabronskaya/regression-with-a-tabular-media-campaign-cost-data", "kernel_id": "39664047"}, {"ref": "tengluoxiyue/friedman-nemenyi-test", "kernel_id": "39160416"}, {"ref": "fremyxs/forecast-of-prices-for-media-companies-regression", "kernel_id": "39581063"}, {"ref": "funxexcel/yt-kaggle-case-study-v1", "kernel_id": "40535136"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "diyorarti/regression-problem-by-neurol-network", "kernel_id": "40467557"}, {"ref": "sunayananiyogi/yt-kaggle-case-study-v1-a050b8", "kernel_id": "41795244"}, {"ref": "aman880/yt-kaggle-case-study-v1", "kernel_id": "41794645"}, {"ref": "himanksankhe/yt-kaggle-case-study-v1-8ee455", "kernel_id": "41795225"}, {"ref": "saurabhk809/yt-kaggle-case-study-v1", "kernel_id": "41794626"}, {"ref": "neeraj1003/ipba-playground-python", "kernel_id": "41794672"}, {"ref": "sagardwivedi21/yt-kaggle-case-study-v1", "kernel_id": "41794667"}, {"ref": "vaishnavikela/yt-kaggle-case-study-v1", "kernel_id": "41794772"}, {"ref": "zzishan/yt-kaggle-case-study-v1", "kernel_id": "41794675"}, {"ref": "kallalghosh/yt-kaggle-case-study-v1", "kernel_id": "41794690"}, {"ref": "kandanathmahesh/yt-kaggle-case-study-v1", "kernel_id": "41794698"}, {"ref": "spruhamhatre/yt-kaggle-case-study-v1", "kernel_id": "41794676"}, {"ref": "chanakyagothwal/yt-kaggle-case-study-v1", "kernel_id": "41794689"}, {"ref": "swapniljedgule/yt-kaggle-case-study-v1", "kernel_id": "41794683"}, {"ref": "akshaybkotkar/yt-kaggle-case-study-v1", "kernel_id": "41794622"}, {"ref": "samarthverma49/yt-kaggle-case-study-v1", "kernel_id": "41794688"}, {"ref": "nehanperwaiz/yt-kaggle-case-study-v1", "kernel_id": "41794861"}, {"ref": "gagansaleria/yt-kaggle-case-study-v1", "kernel_id": "41794682"}, {"ref": "priyankayadav18994/yt-kaggle-case-study-v1-d66ce9", "kernel_id": "41795235"}, {"ref": "mnaoranjannanda/yt-kaggle-case-study-v1", "kernel_id": "41794678"}, {"ref": "moinrazakhan/yt-kaggle-case-study-v1", "kernel_id": "41794655"}, {"ref": "santoshtalluri/yt-kaggle-case-study-v1", "kernel_id": "41794771"}, {"ref": "vineetparmar01/yt-kaggle-case-study-v1", "kernel_id": "41794712"}, {"ref": "chiranjivikukunuri/yt-kaggle-case-study-v1", "kernel_id": "41794696"}, {"ref": "mrakhilreddy/yt-kaggle-case-study-v1", "kernel_id": "42394320"}, {"ref": "nuwancse/ml-lab2", "kernel_id": "43707825"}, {"ref": "uom190420v/ml-regression-1", "kernel_id": "43666935"}, {"ref": "nuwancse/fork-of-ml-lab2", "kernel_id": "44107199"}, {"ref": "juicyluo/pg-se-e11-eda-f-e-tunedxgb", "kernel_id": "47781678"}, {"ref": "goyalharshit03/notebook-hg-2", "kernel_id": "50691073"}, {"ref": "ramjaslangdi/regression-with-a-tabular-media-campaign-cost-data", "kernel_id": "50786270"}, {"ref": "priyanshu54200/tabularmediacampaigncost-ps-ml", "kernel_id": "50018032"}, {"ref": "adilhasankaggle/media-campaign-cost-notebook-1", "kernel_id": "50249907"}, {"ref": "adilhasankaggle/media-campaign-cost-notebook-2", "kernel_id": "50818771"}, {"ref": "dexmasa/media-campaign-cost-prediction", "kernel_id": "51295111"}, {"ref": "abhinavvvvvvvvvv/easy-tabular-media-campaign-cost", "kernel_id": "51158787"}, {"ref": "iyasha/regression-with-a-tabular-media-campaign-cost-data", "kernel_id": "51527469"}, {"ref": "kunal025/regression-with-a-tabular-media-campaign-cost-data", "kernel_id": "51472635"}, {"ref": "mayankgupta9/notebookc293139017", "kernel_id": "51887548"}, {"ref": "sakshamsikri8/notebookfd41afaab0", "kernel_id": "51933910"}, {"ref": "hrshpreet/notebook-for-campaign-cost-regression", "kernel_id": "51160890"}, {"ref": "docxian/ps-s4-e04-abalone-regression", "kernel_id": "53746515"}, {"ref": "cdr0101/regression-media-campaign-cost", "kernel_id": "53970398"}, {"ref": "vanshikam28/regression-with-a-tabular-media-campaign-cost", "kernel_id": "54184742"}, {"ref": "kkamal2003/regression-with-a-tabular-media-campaign-cost-data", "kernel_id": "54653690"}, {"ref": "subho2026/regression-with-a-tabular-media-campaign-dey", "kernel_id": "55989584"}, {"ref": "nitleenk/tabular-media-campaign-cost", "kernel_id": "55197567"}, {"ref": "sehajbirsinghbains/regression-with-a-tabular-media-campaign-cost", "kernel_id": "55158595"}, {"ref": "elasgustavoknaus/regression-simple-preprocess-with-polars-and-scik", "kernel_id": "73723777"}, {"ref": "elasgustavoknaus/tpot-regression-media-campaign-cost", "kernel_id": "73705614"}, {"ref": "neerajkhn/project-media-cost-optimization", "kernel_id": "75909440"}, {"ref": "penbenur/regression-with-a-tabular-media-campaign-cost-data", "kernel_id": "80169287"}, {"ref": "elasgustavoknaus/tensorflow-model", "kernel_id": "87617879"}, {"ref": "EagleOnAI/media-campaign-rf", "kernel_id": "90988984"}]}
{"competition_id": "47815", "kernels": []}
{"competition_id": "47826", "kernels": []}
{"competition_id": "47906", "kernels": []}
{"competition_id": "47910", "kernels": []}
{"competition_id": "47946", "kernels": [{"ref": "vivekfifa/predicting-body-fat", "kernel_id": "50973547"}]}
{"competition_id": "47976", "kernels": []}
{"competition_id": "48040", "kernels": []}
{"competition_id": "48044", "kernels": [{"ref": "danipipe777/tutoria-1-faii-2023-i-v4", "kernel_id": "35431501"}]}
{"competition_id": "48046", "kernels": []}
{"competition_id": "48050", "kernels": [{"ref": "ismatkhan121/many-analysts-one-dataset", "kernel_id": "105224940"}, {"ref": "omkalathiya6/many-analysts-one-dataset", "kernel_id": "111392089"}]}
{"competition_id": "48051", "kernels": []}
{"competition_id": "48055", "kernels": [{"ref": "andrey885/sample-submission1", "kernel_id": "35273456"}, {"ref": "gamestart/fourier-filters", "kernel_id": "35472270"}, {"ref": "olegmeshkov/neymark-signal-processing", "kernel_id": "35372424"}, {"ref": "alexsokoloff/fourier-submission", "kernel_id": "35436454"}, {"ref": "bayukovdanial/fourier-submission", "kernel_id": "35473384"}, {"ref": "erayirkin/eray-alper", "kernel_id": "84769588"}]}
{"competition_id": "48064", "kernels": []}
{"competition_id": "48071", "kernels": []}
{"competition_id": "48075", "kernels": []}
{"competition_id": "48110", "kernels": []}
{"competition_id": "48112", "kernels": []}
{"competition_id": "48132", "kernels": [{"ref": "satyabrat35/runi-nlp-challenge", "kernel_id": "40524482"}]}
{"competition_id": "48160", "kernels": [{"ref": "kimtaehun/what-s-your-beer-style-multiclass-classification", "kernel_id": "35361130"}, {"ref": "efrainp23/multimodel-text-model-dense-model-tensorflow", "kernel_id": "35635520"}, {"ref": "ahmadalijamali/ml-beer-olympiad-analysis-and-prediction-96-5", "kernel_id": "35379444"}, {"ref": "oldjerry/eda-fusion", "kernel_id": "35315879"}]}
{"competition_id": "48195", "kernels": [{"ref": "tracyporter/breast-cancer-cnn-densenet", "kernel_id": "36820849"}, {"ref": "tohan0414/breast-cancer-classification-using-deep-learning", "kernel_id": "37300417"}, {"ref": "kushanbhagya/automatic-diagnosis-of-breast-cancer", "kernel_id": "37514538"}, {"ref": "urashimataro/for-begginer-image-segmentation-practice", "kernel_id": "40562829"}, {"ref": "phankhnhton/for-begginer-image-segmentation-practice", "kernel_id": "59541015"}, {"ref": "tonytocotoco/for-begginer-image-segmentation-practice", "kernel_id": "59549668"}]}
{"competition_id": "48211", "kernels": []}
{"competition_id": "48234", "kernels": []}
{"competition_id": "48237", "kernels": [{"ref": "gutessitore/grupo-6", "kernel_id": "35629081"}, {"ref": "josvsd/puckathon", "kernel_id": "35503031"}]}
{"competition_id": "48241", "kernels": [{"ref": "kimtaehun/simple-eda-and-baseline-with-lgbm-auc-0-94", "kernel_id": "35400793"}, {"ref": "keerthanasingupuram/telecom-churn-case-study-hackathon", "kernel_id": "36954032"}]}
{"competition_id": "48243", "kernels": []}
{"competition_id": "48290", "kernels": []}
{"competition_id": "48348", "kernels": [{"ref": "katerpillar/how-to-open-files-and-basic-code", "kernel_id": "35372775"}, {"ref": "katerpillar/how-to-retrieve-meteonet-model-data", "kernel_id": "36673954"}]}
{"competition_id": "48410", "kernels": [{"ref": "justagoodboy/helper", "kernel_id": "35605554"}, {"ref": "jagannathanav/mlware-faces-final", "kernel_id": "35818527"}, {"ref": "jagan028/landmarks-demo", "kernel_id": "36199575"}, {"ref": "jagannathanav/faces-demonstration", "kernel_id": "36199154"}]}
{"competition_id": "48441", "kernels": []}
{"competition_id": "48448", "kernels": [{"ref": "ajisaeful/broyden-aji-saeful-exception", "kernel_id": "36611174"}, {"ref": "amidaelami/swift-ami-daelami-ichsana-computer-vision", "kernel_id": "36462626"}, {"ref": "habibdwiputra/granada-habib-dwi-putra", "kernel_id": "36515920"}, {"ref": "nursyifazahraa/fibonacci-nursyifa-zahra-addaraeni-cv-mobile-net", "kernel_id": "36529277"}, {"ref": "nursyifazahraa/fiboncci-nursyifa-zahra-addaraeni-cv-mobile-net", "kernel_id": "36528783"}, {"ref": "digunprojek/adigunawan-insight-classification", "kernel_id": "36562450"}, {"ref": "farchan07061997/ofa-ai-km-4-computer-vision", "kernel_id": "36133300"}, {"ref": "rahayumaharani/insight-rahayu-maharani-ujian-praktek-cv", "kernel_id": "36592279"}, {"ref": "rahayumaharani/insight-rahayu-maharani", "kernel_id": "36592675"}, {"ref": "elsadarapuspita/fibonacci-elsa-dara-puspita-computer-vision", "kernel_id": "36386309"}, {"ref": "gall21/galih-ofa-ai-km-4-computer-vision", "kernel_id": "36385995"}, {"ref": "halwaanjumitanawar/ofa-ai-km-4-computer-vision-halwa", "kernel_id": "36326735"}, {"ref": "frizygartian/frizy-gartian", "kernel_id": "36539027"}, {"ref": "frizygartian/ofa-ai-km-4-computer-vision", "kernel_id": "36580527"}, {"ref": "nikitasitanggang/potlot-nikita-gabriela-sitanggang", "kernel_id": "36581907"}, {"ref": "nikitasitanggang/potlot-nikita-sitanggang-cv", "kernel_id": "36582939"}, {"ref": "brilianherda/up-computer-vision-brilian", "kernel_id": "36440240"}, {"ref": "alifyaptw/niapy-alifya", "kernel_id": "36469950"}, {"ref": "sitilatifatulokta/potlot-siti-latifatul-okta", "kernel_id": "36480240"}, {"ref": "dwikibayu14/notebookb1dca61bd6", "kernel_id": "36597018"}, {"ref": "kurniaapriyanti/notebook93038b1429", "kernel_id": "36565906"}, {"ref": "luthfialfajrizanil/notebook864d81cf5f", "kernel_id": "36498999"}, {"ref": "kurnyadidwiputra/notebookfd4df8c168", "kernel_id": "36499914"}]}
{"competition_id": "48451", "kernels": []}
{"competition_id": "48457", "kernels": []}
{"competition_id": "48527", "kernels": []}
{"competition_id": "48528", "kernels": []}
{"competition_id": "48535", "kernels": [{"ref": "oldjerry/cs-go-for-fusion-model", "kernel_id": "35539451"}, {"ref": "surayli/notebook2fbbaf9285", "kernel_id": "35494065"}, {"ref": "klyushnik/vol-1", "kernel_id": "42327166"}]}
{"competition_id": "48558", "kernels": [{"ref": "evgeniigavrilin/baseline", "kernel_id": "35491949"}]}
{"competition_id": "48563", "kernels": []}
{"competition_id": "48575", "kernels": [{"ref": "lukablazik/notebook513204b35e", "kernel_id": "55132923"}]}
{"competition_id": "48577", "kernels": []}
{"competition_id": "48630", "kernels": []}
{"competition_id": "48640", "kernels": []}
{"competition_id": "48661", "kernels": []}
{"competition_id": "48667", "kernels": []}
{"competition_id": "48688", "kernels": []}
{"competition_id": "48693", "kernels": []}
{"competition_id": "48694", "kernels": []}
{"competition_id": "48724", "kernels": []}
{"competition_id": "48750", "kernels": [{"ref": "dstomcray/spr-x-ray-age-prediction-efficientnet", "kernel_id": "35897249"}, {"ref": "felipekitamura/spr-xray-age-prediction-baseline", "kernel_id": "35642627"}, {"ref": "leocanela/spr-xray-age-vit-baseline-lb-mae-10-8", "kernel_id": "35809809"}, {"ref": "kuriki/age-prediction-with-fastai", "kernel_id": "35689386"}, {"ref": "ritheshsreenivasan/ageprediction", "kernel_id": "36536173"}, {"ref": "keyisiang/notebookb551876e0f", "kernel_id": "48808976"}, {"ref": "shiyuzhan12/x-chest-age-gender-prediction", "kernel_id": "80571646"}]}
{"competition_id": "48762", "kernels": [{"ref": "tracyporter/ds-salaries-keras-tf", "kernel_id": "35669356"}, {"ref": "kushanbhagya/salaries-of-ds", "kernel_id": "37490449"}]}
{"competition_id": "48853", "kernels": []}
{"competition_id": "48868", "kernels": []}
{"competition_id": "48892", "kernels": [{"ref": "yeonmin/eda-code", "kernel_id": "42097317"}]}
{"competition_id": "48907", "kernels": []}
{"competition_id": "48936", "kernels": []}
{"competition_id": "48950", "kernels": [{"ref": "theobs032/ibio-hash", "kernel_id": "36930341"}, {"ref": "theobs032/vietai-ibiohash-eda", "kernel_id": "37021601"}, {"ref": "theobs032/vietai-ibiohash-eda-query-and-gallery", "kernel_id": "37034387"}]}
{"competition_id": "48955", "kernels": []}
{"competition_id": "48989", "kernels": []}
{"competition_id": "49035", "kernels": []}
{"competition_id": "49040", "kernels": []}
{"competition_id": "49045", "kernels": []}
{"competition_id": "49062", "kernels": []}
{"competition_id": "49065", "kernels": []}
{"competition_id": "49089", "kernels": []}
{"competition_id": "49101", "kernels": []}
{"competition_id": "49149", "kernels": [{"ref": "lizhecheng/rank1-spinalvgg-extended-mnist", "kernel_id": "35932417"}]}
{"competition_id": "49175", "kernels": [{"ref": "ahmadalijamali/ml-olympiad-bahrain-with-pca-and-xgb", "kernel_id": "35914092"}]}
{"competition_id": "49176", "kernels": [{"ref": "aliawadh980/all-churn", "kernel_id": "35902437"}]}
{"competition_id": "49200", "kernels": [{"ref": "phongnguyen1/a-framework-for-classification-e17-12-10", "kernel_id": "35762096"}, {"ref": "nikitagrec/top-8-score-rf-rank-prediction-0-894", "kernel_id": "35257748"}, {"ref": "tetsutani/ps3e12-self-supervised-tabnet-using-optuna-0-896", "kernel_id": "35279451"}, {"ref": "jankuper192/playground-12-gam-h20-en-caret-emsambling", "kernel_id": "36843011"}, {"ref": "adaubas/pss3e12-eda-svc-knn-and-more", "kernel_id": "36857595"}, {"ref": "ricardorios/ps-s3-ep12-eda-inference", "kernel_id": "36868832"}, {"ref": "laurao/ps3e12-simple-eda-catboost-kfold", "kernel_id": "36840144"}, {"ref": "cv13j0/playground-series-s3-e12-ideas", "kernel_id": "36828087"}, {"ref": "barun2104/kidney-stone-prediction-eda", "kernel_id": "36833037"}, {"ref": "davidhguerrero/230304-pss3-e12-kidney-stone-prediction", "kernel_id": "36843533"}, {"ref": "brolak/s03e12-eda-baseline-ensemble", "kernel_id": "36842257"}, {"ref": "seascape/target-calc", "kernel_id": "36844895"}, {"ref": "seascape/to-tune-or-not-to-tune", "kernel_id": "36959937"}, {"ref": "docxian/ps-s3-e12-kidney-stones-visual-journey", "kernel_id": "36856265"}, {"ref": "narendra1998/should-we-include-the-orginal-data-pgs-se3-e-12", "kernel_id": "36837615"}, {"ref": "oscarm524/ps-s3-ep12-eda-modeling", "kernel_id": "36823724"}, {"ref": "kimtaehun/nice-eda-and-quick-xgb-baseline-in-2minutes", "kernel_id": "36825652"}, {"ref": "pranay20485/ps-s3-e12-gaussian-process-classifier-auc-0-85", "kernel_id": "36850337"}, {"ref": "pranay20485/ps-s3-e12-choosing-best-classification-algorithm", "kernel_id": "36838701"}, {"ref": "craigmthomas/play-s3e12-eda-models", "kernel_id": "36825781"}, {"ref": "ndeperrois/scikit-learn-for-newbies-ps-s3e12", "kernel_id": "36847330"}, {"ref": "sylzys/playground-s3e12-eda-lofo-feat-importance", "kernel_id": "36862443"}, {"ref": "dellalkhaled/data-exploration-ps-s3-e12", "kernel_id": "36848509"}, {"ref": "smiles28/linear-regression", "kernel_id": "36998454"}, {"ref": "smiles28/eda-and-flaml", "kernel_id": "36972627"}, {"ref": "omarvivas/ranger-tpgs-s3e12-v1", "kernel_id": "36825866"}, {"ref": "omarvivas/lgbm-tpgs-s3e12-v1", "kernel_id": "36824362"}, {"ref": "omarvivas/cb-tpgs-s3e12-v1", "kernel_id": "36824515"}, {"ref": "omarvivas/xgb-tpgs-s3e12-v1", "kernel_id": "36824567"}, {"ref": "omarvivas/keras-tpgs-s3e12-v1", "kernel_id": "36824781"}, {"ref": "omarvivas/torch-tpgs-s3e12-v1", "kernel_id": "36824855"}, {"ref": "stpeteishii/pss3-ep12-visualize-importance", "kernel_id": "36853328"}, {"ref": "stpeteishii/pss3-ep12-lgbm-with-optuna", "kernel_id": "36853329"}, {"ref": "ted0071/ps3e12-kidney-stone-prediction", "kernel_id": "36938401"}, {"ref": "mmellinger66/ps3e12-eda-xgb-cat-lgbm", "kernel_id": "36894787"}, {"ref": "pranaii/eda-fe-modelling-playground-series-s3-e12", "kernel_id": "36826711"}, {"ref": "mpwolke/nephrolithiasis-supervised-learning", "kernel_id": "36863874"}, {"ref": "mpwolke/somewhere-under-the-roc", "kernel_id": "36891172"}, {"ref": "mpwolke/pystacknet-attempt", "kernel_id": "36861188"}, {"ref": "mpwolke/renal-calculi-prediction", "kernel_id": "36848366"}, {"ref": "syerramilli/ps3e12-r-gbm-hyperopt", "kernel_id": "36856575"}, {"ref": "syerramilli/ps3e12-lightgbm-optuna", "kernel_id": "36967386"}, {"ref": "syerramilli/ps3e12-r-xgboost-hyperopt", "kernel_id": "36951207"}, {"ref": "syerramilli/pse312-logistic-regression", "kernel_id": "36927703"}, {"ref": "syerramilli/ps3e12-random-forest-tidymodels", "kernel_id": "36940187"}, {"ref": "barnesparker/tuning-random-forest-with-tidymodels", "kernel_id": "36950186"}, {"ref": "edomingo/kidney-stones-eda-xgb-svm-ps3e12", "kernel_id": "36860065"}, {"ref": "slmsshk/introductory-book", "kernel_id": "36967240"}, {"ref": "averma111/pg-s3e12-xgboost-lgbm-randomforest-no-nn-used", "kernel_id": "36985903"}, {"ref": "arunpurakkatt/ps12-eda-xgb", "kernel_id": "36825181"}, {"ref": "pomiro/ps-3-12-eda", "kernel_id": "36827586"}, {"ref": "amarloni/psg3e12", "kernel_id": "36827627"}, {"ref": "zeeshanarif53/randomforestclassifier-with-stacking-ensambling", "kernel_id": "36984723"}, {"ref": "zeeshanarif53/using-randomforestclassifier", "kernel_id": "36981504"}, {"ref": "zeeshanarif53/using-keras-to-build-a-deep-learning-model", "kernel_id": "36980919"}, {"ref": "zeeshanarif53/using-gradient-boosting", "kernel_id": "36995210"}, {"ref": "charunumesh/ps-s3-e12-eda-ensemble", "kernel_id": "36840585"}, {"ref": "akioonodera/ps-3-12-lgbm-bin", "kernel_id": "36823709"}, {"ref": "kdmitrie/pgs312-eda-models-test-with-optuna-blending", "kernel_id": "36848228"}, {"ref": "nancysamuel/pss-3-ep-14-eda", "kernel_id": "36534974"}, {"ref": "mdmostafakamal/playground-series-competition-i", "kernel_id": "36890915"}, {"ref": "hamzaboulahia/s3e12", "kernel_id": "36848022"}, {"ref": "smritirani/sim-s3e12", "kernel_id": "36990275"}, {"ref": "tracyporter/play-3-12-tf", "kernel_id": "36879437"}, {"ref": "warcoder/pyspark-eda-baseline-rf", "kernel_id": "36955032"}, {"ref": "warcoder/explainable-boosting-machine", "kernel_id": "36900728"}, {"ref": "marioshadjiantonis/playground-s3e12", "kernel_id": "36849469"}, {"ref": "atogni85/s03e12-small-data-small-fun", "kernel_id": "36833383"}, {"ref": "yimingliang/pss3-e12-eda-modeling", "kernel_id": "36832235"}, {"ref": "abdelrahmanrabah/oop-lgbm-xgb-no-sk", "kernel_id": "36858702"}, {"ref": "jacobsharples/s03-e12-eda", "kernel_id": "36853922"}, {"ref": "vishweshhampali/logistic-regression", "kernel_id": "36883800"}, {"ref": "sabinaabdurakhmanova/ps3-12-tabnet", "kernel_id": "36956305"}, {"ref": "collinsakal/kidney-eda-catboost-baseline", "kernel_id": "36823996"}, {"ref": "baokar7/ps-s3e12-eda-with-baseline-xgb", "kernel_id": "36835569"}, {"ref": "mohammadrazeghi/s03e12-simpleeda-xgb-optuna-gridsearch", "kernel_id": "36882752"}, {"ref": "georgedoukas/play-12-23-flaml-ensemple-scored-0-878", "kernel_id": "36851253"}, {"ref": "praveensaik/ps-s3-ep12", "kernel_id": "36863222"}, {"ref": "praveensaik/ps3e12-eda-catboost-nn-0-8666", "kernel_id": "36858965"}, {"ref": "animeshrockn/playground-3-12-logistic-regression", "kernel_id": "36831263"}, {"ref": "jacksontangqunyao/playground-series-kidney-stone-prediction", "kernel_id": "36920506"}, {"ref": "jimgruman/s3e12-kidney-stones-gam", "kernel_id": "36850013"}, {"ref": "jimgruman/s3e12-kidney-stones-svm", "kernel_id": "36908920"}, {"ref": "jimgruman/s3e12-kidney-stones-rf", "kernel_id": "36942918"}, {"ref": "tetsutani/ps3e12-eda-ensemble-baseline", "kernel_id": "36827843"}, {"ref": "shubhamgupta012/playground-s312", "kernel_id": "36997006"}, {"ref": "blessingumoru/pgs3e12-with-features-definition-catboost", "kernel_id": "36863875"}, {"ref": "barbagrande007/bbg007-s3-e12-kidneystones", "kernel_id": "36876907"}, {"ref": "fatismajli/ps3e12-top-10-with-deeplearning", "kernel_id": "36931333"}, {"ref": "satyaprakashshukl/neural-network-ps-series-3-e-12", "kernel_id": "36852929"}, {"ref": "satyaprakashshukl/eda-s-12-faster", "kernel_id": "36827761"}, {"ref": "satyaprakashshukl/boost-simple-model", "kernel_id": "36828307"}, {"ref": "ravi20076/playgrounds3e12-extensiveeda-baseline", "kernel_id": "36888046"}, {"ref": "burakarslan1/playground-series-3-12", "kernel_id": "36922440"}, {"ref": "sujaykapadnis/ps-s2e12-basic", "kernel_id": "36896414"}, {"ref": "ayushmehraa/ps3-kidney-stone-prediction-eda-xgb", "kernel_id": "36962768"}, {"ref": "samuelcortinhas/ps-s3e12-global-optimisation", "kernel_id": "36974463"}, {"ref": "ridwanakmal/ps3e12-ensembling-gradboost-extratree-lgbm", "kernel_id": "36962612"}, {"ref": "lusfernandotorres/s03e12-stacking-tuned-models", "kernel_id": "36823759"}, {"ref": "klyushnik/episode-12", "kernel_id": "36850284"}, {"ref": "demko1/17-place-solution-notebook-nan-filling", "kernel_id": "36887336"}, {"ref": "yogesh239/ps3e12-eda-rfc-lr-lgbm-xgb-kidney-stone-pred", "kernel_id": "36847640"}, {"ref": "burhanuddinlatsaheb/s3-e12-eda-px-v-s-sns-randomforest-lgbm-xgb", "kernel_id": "36898944"}, {"ref": "tayfungrlevik/playground-series-s3e12", "kernel_id": "36880152"}, {"ref": "chrispanourgias/kidney-stone-pred", "kernel_id": "36905584"}, {"ref": "qiaoningchen/kidneystone-eda-xgb-feature-engineering", "kernel_id": "36859432"}, {"ref": "johnycooly/random-forest-with-optuna", "kernel_id": "36992498"}, {"ref": "zonwie/s3e12-beginner-logistic-decision-random", "kernel_id": "36837967"}, {"ref": "patriciabrezeanu/neural-oblivious-decision-ensemble", "kernel_id": "36968261"}, {"ref": "patriciabrezeanu/epic-tuning-finding-the-perfect-random-forest", "kernel_id": "36853821"}, {"ref": "brendancarney24/quick-and-simple-xgboost-ps3-e12", "kernel_id": "36965672"}, {"ref": "joochaicoski/quick-analysis-hyperopt-tuning-xgb-rf-knn", "kernel_id": "36941349"}, {"ref": "abhinavmangalore/s3e12-kidney-stone-prediction-binary-classifier", "kernel_id": "36931371"}, {"ref": "iqbalsyahakbar/ps3e12-all-you-need-is-logistic-regression", "kernel_id": "36843690"}, {"ref": "iqbalsyahakbar/ps3e12-simple-eda-fe-and-model-for-beginners", "kernel_id": "36825139"}, {"ref": "swagatobhaskar/pg-s3-e12-kidneystone-classification", "kernel_id": "36897113"}, {"ref": "priyanshu594/edaandsimplestmodels", "kernel_id": "36893821"}, {"ref": "mattop/playground-series-s3-e12-eda-tsne-pca", "kernel_id": "36824154"}, {"ref": "brother2330/prototyping", "kernel_id": "36950246"}, {"ref": "lizhecheng/s3e12-catboost-baseline", "kernel_id": "36824152"}, {"ref": "venkatganesh98/ps-s3-e12-kidney-stone-prediction-rfc", "kernel_id": "36887929"}, {"ref": "bilashalder/playground-s3-e12-eda-and-multimodel-predictions", "kernel_id": "36911401"}, {"ref": "suzukifelipe/randomforestclassifier-playground-s3e12", "kernel_id": "36853548"}, {"ref": "alexbostick/xgbooooost-kidney-stone-prediction", "kernel_id": "36892970"}, {"ref": "sujithmandala/playground-s3e12-eda-logistic-regression", "kernel_id": "36855892"}, {"ref": "richeyjay/kidney-stone-prediction-eda-binary-classification", "kernel_id": "36893161"}, {"ref": "drmwnnrafi/ps3e12-flaml-with-automl", "kernel_id": "36878993"}, {"ref": "francescoliveras/ps-s3-e12-eda-model-en-es", "kernel_id": "36895782"}, {"ref": "kavinkv/kidney-stone-prediction", "kernel_id": "36971339"}, {"ref": "tonychirilus/ps-s3e12-eda-model-ensemble", "kernel_id": "36844769"}, {"ref": "kirillka95/ps-s3e12-eda-optuna-ensemble", "kernel_id": "36928511"}, {"ref": "chetantalele/simple-logistic-regression-kidney-stone-ds-pg-srs", "kernel_id": "36936136"}, {"ref": "rafiromolo/kidney-stone-prediction", "kernel_id": "36932721"}, {"ref": "abocadobaby/ps-s3e12-binary-classifier-rf-ada-xgb-cat-lgbm", "kernel_id": "36948132"}, {"ref": "kavishchaudhary1003/playground-s3-e12-optuna-xgb-lgbm-catboost", "kernel_id": "36866479"}, {"ref": "bohdantsynalievskyi/binary-classifications-practice", "kernel_id": "36917114"}, {"ref": "sharvalishinde/ps3-e12-eda-xgb-baseline", "kernel_id": "36830681"}, {"ref": "andreaskaufmann/s3e12-24-models-ensemble", "kernel_id": "36939256"}, {"ref": "andreaskaufmann/s3e12-1d-cnn", "kernel_id": "36900387"}, {"ref": "andreaskaufmann/s3e12-simple-dnn", "kernel_id": "36859457"}, {"ref": "pradeepsapparapu/playground-series-12", "kernel_id": "36846041"}, {"ref": "chooyeanchan/playground-beginner-230407", "kernel_id": "36946558"}, {"ref": "xietaowang/s3e12-eda-gbms", "kernel_id": "36924043"}, {"ref": "manteemike/pgs-s3-e12-kidney-stone-eda", "kernel_id": "36863489"}, {"ref": "neupane9sujal/ps3e12-simple-eda-and-model", "kernel_id": "36880253"}, {"ref": "panini92/playground-s3e12", "kernel_id": "36962574"}, {"ref": "nandini1007/playground-series-kidney-stone-prediction", "kernel_id": "36920618"}, {"ref": "mateuszk013/playground-series-s3e12-kidney-stone-visual-eda", "kernel_id": "36868731"}, {"ref": "stefanmayer2006/season-3-e-12", "kernel_id": "36946100"}, {"ref": "sumedhakoranga/ps-s3e12-neural-network", "kernel_id": "36952991"}, {"ref": "sumedhakoranga/ps-s3-e12-xgbclassifier", "kernel_id": "36900361"}, {"ref": "sumedhakoranga/ps-s3-e12-logistic-regression", "kernel_id": "36897813"}, {"ref": "sumedhakoranga/ps-s3-e12-dummy", "kernel_id": "36892749"}, {"ref": "bibhumohapatra18/kidney-stone-prediction-using-urine-datasets", "kernel_id": "36958339"}, {"ref": "okoloboga/pgs-s03e12-dense-nn-win-as-usual", "kernel_id": "36970451"}, {"ref": "belladsagar/kidneystoneclassification", "kernel_id": "36877823"}, {"ref": "paulreiners/using-scikit-optimize-playground-series-season", "kernel_id": "37300269"}, {"ref": "celniker/kidney-stones-eda-and-lgbm-on-steroids-0-87", "kernel_id": "37576179"}, {"ref": "scirpus/gp-wee", "kernel_id": "37109429"}, {"ref": "adaubas/pss3e12-improve-your-cv-score-remove-sample-n-55", "kernel_id": "37328691"}, {"ref": "davidhguerrero/linear-dependency-other-dependencies", "kernel_id": "37130736"}, {"ref": "gsdeepakkumar/kidney-stone-prediction-469th-solution", "kernel_id": "37058344"}, {"ref": "seascape/predicting-kidney-stones-with-naive-bayes", "kernel_id": "37404675"}, {"ref": "seascape/how-to-overfit", "kernel_id": "37299379"}, {"ref": "docxian/ps-s3-e12-kidney-stones-visuals-glm-in-r", "kernel_id": "37223623"}, {"ref": "datascientistsohail/se03-ep12-ensemble-of-models", "kernel_id": "37266914"}, {"ref": "datascientistsohail/bayesian-catboostclassifier-se03-ep12", "kernel_id": "37161007"}, {"ref": "datascientistsohail/bayesian-xgbclassifier-se03-ep12", "kernel_id": "37090226"}, {"ref": "datascientistsohail/bayesian-randomforestclassifier-se03-ep12", "kernel_id": "37091910"}, {"ref": "datascientistsohail/bayesian-lgbmclassifier-se03-ep12", "kernel_id": "37000466"}, {"ref": "noamshimsho/notebook9e8d02c4b4", "kernel_id": "37989371"}, {"ref": "yzokulu/pss3-ep12-randomforest-xgboost-0-87", "kernel_id": "37001183"}, {"ref": "syerramilli/ps3e12-svm-tidymodels", "kernel_id": "37017759"}, {"ref": "brysonje/basic-before-complex-ideas", "kernel_id": "37120240"}, {"ref": "caiocsn2/single-variable-calc-residue-analysis", "kernel_id": "37304357"}, {"ref": "caiocsn2/catboost-cluster-analysis", "kernel_id": "37145850"}, {"ref": "naiku007/ai-trainings-dtici23-day2", "kernel_id": "37697170"}, {"ref": "paw27182/ps3e12-tensorflow-optuna", "kernel_id": "37096539"}, {"ref": "pomiro/ps-3-12-optuna", "kernel_id": "37104376"}, {"ref": "acdundore/s3-e12-eda-risk-factors-xgb", "kernel_id": "37391784"}, {"ref": "kkhandekar/top-10-algorithms-for-binary-classification", "kernel_id": "37140399"}, {"ref": "nandomartinez/hello-dataset", "kernel_id": "37309939"}, {"ref": "donatoriccio/ps312-8th-place-feature-engineering", "kernel_id": "37405204"}, {"ref": "donatoriccio/ps3e12-simple-stacking-starter-with-vecstack", "kernel_id": "37087047"}, {"ref": "handeakn/s3e12-eda-preprocessing-cv-tuning-2models", "kernel_id": "37287026"}, {"ref": "robertturro/ps-3-12-basic-logistic-regression-model", "kernel_id": "37341683"}, {"ref": "enjoyingworld/simple-baseline-model-lgbm", "kernel_id": "37166187"}, {"ref": "nyagami/kidney-stones-prediction", "kernel_id": "37261529"}, {"ref": "slimreaper/random-forest-xgb-catboost-ensemble-t40", "kernel_id": "37341346"}, {"ref": "hiroshikurokawa/p3s12-lgb-catb-xgb-ensemble", "kernel_id": "37021135"}, {"ref": "eyadgk/kidney-stone-eda-ann-modeling", "kernel_id": "37058943"}, {"ref": "michakurcewicz/playground-series-season-3-episode-12", "kernel_id": "37209699"}, {"ref": "abdullahsamiir/simple-eda-pycaret", "kernel_id": "37032222"}, {"ref": "muhmoudshehata/kidney-stones", "kernel_id": "37853328"}, {"ref": "romrawinchumpu/ps-s3e12-quick-kidney-stone-prediction", "kernel_id": "37219895"}, {"ref": "shatabdi5/playground-s3e12", "kernel_id": "37001359"}, {"ref": "yus002/tpss3e12-eda-in-r", "kernel_id": "37098265"}, {"ref": "ramzanzdemir/ps-s3-e12-kidney-stones-94-roc-auc", "kernel_id": "37259274"}, {"ref": "baokar7/ps-s3e12-score-comparison-with-feature-subsets", "kernel_id": "37135551"}, {"ref": "askeeee/ep12-logis-pca-cv-0-790119542124542", "kernel_id": "37154773"}, {"ref": "kiran1204/kidney-stone-prediction", "kernel_id": "37098748"}, {"ref": "shuvojitdas/kidney-stone-prediction", "kernel_id": "37037150"}, {"ref": "tarikh93/kidney-stone-prediction-using-rfc", "kernel_id": "37116209"}, {"ref": "ksh9567/simple-nn-using-torch", "kernel_id": "37272090"}, {"ref": "satyaprakashshukl/lazy-predict-classification", "kernel_id": "37079922"}, {"ref": "satyaprakashshukl/tpot-classification", "kernel_id": "37078472"}, {"ref": "satyaprakashshukl/pycaret-eda", "kernel_id": "37022341"}, {"ref": "deepakjeff/kidney-stone", "kernel_id": "37111803"}, {"ref": "bianchimario/kidney-stone-prediction-ps-s3-e12-svc", "kernel_id": "37120506"}, {"ref": "rajarshikundu/s3e12-eda-models", "kernel_id": "37355780"}, {"ref": "abhimanyudhyani/notebook4e9c3f0227", "kernel_id": "37703658"}, {"ref": "obinna11/kidney-stone-urine-analysis", "kernel_id": "37246417"}, {"ref": "hosshi/playground-3-12-xgbclassifier", "kernel_id": "37110415"}, {"ref": "strategos2/playground-series-season-3-episode-12", "kernel_id": "37210682"}, {"ref": "iqmansingh/kidney-stone-classification", "kernel_id": "37009538"}, {"ref": "aasnegha/just-xgboost", "kernel_id": "37205644"}, {"ref": "williamtandio/short-simple-yet-accurate-beginner-friendly", "kernel_id": "37804159"}, {"ref": "johnycooly/rf-gb-optuna-et-sur-chantillonage", "kernel_id": "37032431"}, {"ref": "johnycooly/voting-classifier", "kernel_id": "37040786"}, {"ref": "andrusha95/s03e12-simpleeda-rf-xgb-knn-gridsearch", "kernel_id": "37317555"}, {"ref": "zeenatwaseem/kidney-stone-urine-analysis", "kernel_id": "37259066"}, {"ref": "shardulchandankhede/kidney-stone-eda-prediction-7-model-2-nn", "kernel_id": "37374286"}, {"ref": "kapturovalexander/kapturov-s-playground-series-s3-e12", "kernel_id": "37462629"}, {"ref": "rishabhkamboj2003/kidneystone-prediction", "kernel_id": "37122793"}, {"ref": "sarvallerd/ps-s3-e12-catboost-xgb-lgbm-eda", "kernel_id": "37275225"}, {"ref": "soraharada/play-s3e12-baseline", "kernel_id": "37210663"}, {"ref": "rajaasardar/binary-classification-with-a-tabular-kidney-stone", "kernel_id": "37646870"}, {"ref": "mehulgoyal49/notebookfd0ad0906b", "kernel_id": "37239648"}, {"ref": "iqbalsyahakbar/184-major-experiment-with-ensemble", "kernel_id": "37394194"}, {"ref": "rachitjain124/kidney-stone-prediction-for-beginners", "kernel_id": "37420683"}, {"ref": "naesalang/little-beautiful-notebook", "kernel_id": "37073121"}, {"ref": "jagadishrcz/kidney-stone-predictions", "kernel_id": "37210599"}, {"ref": "mohamedafsal007/kidney-playgroundseries", "kernel_id": "37163687"}, {"ref": "antoinerogeau/5-place-ensemble-xgb-lr-rf-knn", "kernel_id": "37125303"}, {"ref": "madhvendrasingh21/kidneystoneprediction", "kernel_id": "37243458"}, {"ref": "abhinav16aero/pss3e12-ensemble-always-wins-score-0-86133", "kernel_id": "37030130"}, {"ref": "abocadobaby/ps-s3e12-xgbclassifier-using-optuna", "kernel_id": "37021039"}, {"ref": "tumpanjawat/kidney-stone-eda-prediction-7-model-2-nn", "kernel_id": "37363938"}, {"ref": "ssankarr/kidney-stone-prediction", "kernel_id": "37429025"}, {"ref": "pasindusandakan/binary-classification-with-a-tabular-kidney-stone", "kernel_id": "37897270"}, {"ref": "alsetlaram/project", "kernel_id": "37248008"}, {"ref": "vikramshankar18/xgboost-kf", "kernel_id": "37200254"}, {"ref": "soumalya101/kidney-stone-prediction", "kernel_id": "37335215"}, {"ref": "ayaelneanaei/adaboost-randomforest-knn", "kernel_id": "37381736"}, {"ref": "percedal/s3e12", "kernel_id": "37430771"}, {"ref": "etopowertwon/notebookf1351e7fbd", "kernel_id": "37019809"}, {"ref": "amitabhanand21/beginner-friendly-models", "kernel_id": "37120552"}, {"ref": "ragishehab/kidney-stone-prediction-7-models-eda", "kernel_id": "37480415"}, {"ref": "wepasabyrow/binary-classification-with-a-kidney-stone-predicti", "kernel_id": "37072685"}, {"ref": "farshidhossain68/kidney-analysis", "kernel_id": "37936351"}, {"ref": "harshapondhugula/kidney-stones-prediction", "kernel_id": "37375108"}, {"ref": "dharanidharanjjjs/kidney-stone-prediction", "kernel_id": "37850398"}, {"ref": "yyazidd/kidney-stone-knn-ps-s3-e12", "kernel_id": "37375287"}, {"ref": "matthewsfarmer/kidney-stone-prediction", "kernel_id": "37169928"}, {"ref": "unstoppablesk/kidney-stone-prediction", "kernel_id": "37192704"}, {"ref": "alexanderskachkov/kidney-stone-prediction", "kernel_id": "37851650"}, {"ref": "kasperlindmark/xgb-kedneystones", "kernel_id": "37090232"}, {"ref": "ignaciodelcuvillo/academic-comeback", "kernel_id": "37080863"}, {"ref": "rfeng12/kidney-stone-prediction", "kernel_id": "37184395"}, {"ref": "albertgalimov/demo-on-overfitting", "kernel_id": "37254481"}, {"ref": "tiranzhao/kindey-stone-prediction", "kernel_id": "37006636"}, {"ref": "tgamstaetter/tidy-stones", "kernel_id": "37262584"}, {"ref": "saeschtheflash/playground-series-season-3-episode-12", "kernel_id": "37320592"}, {"ref": "babykrishnaml/playground-competition-s3-e12", "kernel_id": "37298912"}, {"ref": "srushtikelkar/eda-logistic-regression-svc-dtree-rf-xgb", "kernel_id": "37379391"}, {"ref": "captainnemo2505/playground-s312", "kernel_id": "37675294"}, {"ref": "docxian/ps-s3-e14-blueberry-yield-visuals-glm", "kernel_id": "38035644"}, {"ref": "sunil199/kidney-stone-prediction-eda-10-models", "kernel_id": "38600850"}, {"ref": "aamall/kidney-data", "kernel_id": "38173798"}, {"ref": "michaelcerda/kidney-stone-prediction", "kernel_id": "38527992"}, {"ref": "eurekad/kidney-stone-prediction-binary-classification", "kernel_id": "38836079"}, {"ref": "bharathananda/kidney-stone-prediction", "kernel_id": "38313577"}, {"ref": "niteshrajbanshi/binary-classification-with-a-tabular-kidney-stone", "kernel_id": "38688263"}, {"ref": "anjusukumaran4/kidney-stone-dataset-eda-comparing-models", "kernel_id": "38999247"}, {"ref": "napsnu/binary-classification-with-a-tabular-kidney-stone", "kernel_id": "38774526"}, {"ref": "rakshyabhusal/binary-classification-with-a-tabular-kidney-stone", "kernel_id": "38731695"}, {"ref": "amirhosseinmanaseri/notebook0b66b27d08", "kernel_id": "38677309"}, {"ref": "rtkli91/kidney-stone-prediction-checking-the-trees", "kernel_id": "38031843"}, {"ref": "frusan/binary-classification-with-a-tabular-kidney-stone", "kernel_id": "38621555"}, {"ref": "malu23333333333333/decisiontreepatopedra", "kernel_id": "38903873"}, {"ref": "nadiawiny/calculos-renais-rvore-de-decis-o", "kernel_id": "38902622"}, {"ref": "rafaelferreirado/machine-learning-v1", "kernel_id": "38905237"}, {"ref": "emilly305kss/atividade-de-ia", "kernel_id": "38902520"}, {"ref": "nikkitha8/binary-classification-kidney-stone", "kernel_id": "39807866"}, {"ref": "amanpathak2909/kidneystoneprediction-eda-ensemble-domainexplained", "kernel_id": "39147418"}, {"ref": "satzil/kidney-stone-prediction", "kernel_id": "39743829"}, {"ref": "rafaellaleandra/notebook2d5554aa0b", "kernel_id": "39281915"}, {"ref": "vstacknocopyright/predicting-kidney-stones-using-tabular-data-and-ml", "kernel_id": "39013510"}, {"ref": "anjusukumaran4/kidney-stone-prediction-multi-layer-perception", "kernel_id": "39210538"}, {"ref": "victore7/calculo-renal", "kernel_id": "39353061"}, {"ref": "evertoncarvalho/svm-01-001", "kernel_id": "39726440"}, {"ref": "lvialorrani/solo-ia", "kernel_id": "39571488"}, {"ref": "nadiawiny/calculos-renais-svc", "kernel_id": "39225555"}, {"ref": "nadiawiny/calculos-renais-naive-bayes", "kernel_id": "39226638"}, {"ref": "nadiawiny/calculos-renais-knn", "kernel_id": "39226024"}, {"ref": "nadiawiny/calculos-renias-random-forest", "kernel_id": "39227902"}, {"ref": "emilly305kss/atividade1", "kernel_id": "39410163"}, {"ref": "kaiovincius/frnk1", "kernel_id": "39461946"}, {"ref": "ved1104/kidney-stone-prediction-with-different-models", "kernel_id": "40792376"}, {"ref": "derekxue/kidneystoneprediction-eda-ensemble-domainexplained", "kernel_id": "40105714"}, {"ref": "deghatipour/kidney-stone-prediction-ensemble-learning", "kernel_id": "40997930"}, {"ref": "saugatkafley/pss3ep12", "kernel_id": "40352134"}, {"ref": "shivamsingh17072001/notebook6bb010526a", "kernel_id": "40003298"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "augusto31/kidney-stone-demo2", "kernel_id": "40307731"}, {"ref": "augusto31/kidney-stione-demo1", "kernel_id": "40328358"}, {"ref": "augusto31/kidney-stone-demo0", "kernel_id": "40321432"}, {"ref": "sallychenyq/e12-aicourse", "kernel_id": "40050618"}, {"ref": "inversion/make-synthetic-kidney-stone-data", "kernel_id": "41872718"}, {"ref": "zaibunnisaa/kidney-stone-prediction", "kernel_id": "41966426"}, {"ref": "deva0703/kidney-stone-prediction-with-eda-models", "kernel_id": "41703669"}, {"ref": "timurtuleuov/kidney-stone-bayesian-optimization", "kernel_id": "41239932"}, {"ref": "sanjanasarathy/kidney-stone-prediction", "kernel_id": "41739458"}, {"ref": "tycho5/ci-sajath", "kernel_id": "41736102"}, {"ref": "pohzixiang/kidney-stone-prediction-zx", "kernel_id": "42266196"}, {"ref": "arnabk123/predicting-kidney-stones-pss3ep12", "kernel_id": "42854140"}, {"ref": "fatemeghs/simple-prediction-project-using-random-forest", "kernel_id": "42255339"}, {"ref": "singhayush16/kidney-stone-prediction", "kernel_id": "42242955"}, {"ref": "ammarahabib/kidney-stone-prediction", "kernel_id": "42308063"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "bhatnagardaksh/advanced-numpy-concepts-techniques", "kernel_id": "43518999"}, {"ref": "shahbrohi/prediction-on-kidney-stone", "kernel_id": "43606012"}, {"ref": "niharikaamritkar/kidneystone-predictions", "kernel_id": "43670635"}, {"ref": "salokyadeb/kidney-stone-prediction", "kernel_id": "48504823"}, {"ref": "nikhilchadha1537/kidney-stone-classification-by-nikhil", "kernel_id": "49899412"}, {"ref": "hitenmandaliya/kidney-stone-prediction-randomforest-and-xgb", "kernel_id": "50134702"}, {"ref": "ojaswanib/kidney-stone-prediction-ojaswani", "kernel_id": "50911617"}, {"ref": "piyush1234ggfuvi/kidney-stone-prediction", "kernel_id": "50783976"}, {"ref": "nitishjolly/kidney-stone-prediction", "kernel_id": "50788355"}, {"ref": "sehajbirsinghbains/kidneystoneprediction", "kernel_id": "50471190"}, {"ref": "sehajbirsinghbains/notebook9198892aac", "kernel_id": "50471216"}, {"ref": "purusachdeva/kidney-stone-classification", "kernel_id": "51871380"}, {"ref": "mahendra301/kidney-stone-prediction-eda-xg-boost", "kernel_id": "51142950"}, {"ref": "alnourabdalrahman9/kidney-stone-prediction-with-lazy-predict", "kernel_id": "51016112"}, {"ref": "harleenkaurdeora/kidney-stone-prediction", "kernel_id": "51520567"}, {"ref": "himanshu230/kidneystone-predictor", "kernel_id": "51484018"}, {"ref": "mayankgupta9/notebook3df682fdd6", "kernel_id": "51934764"}, {"ref": "kartikye10/binary-classification-with-a-tabular-kidney-stone", "kernel_id": "51068527"}, {"ref": "khyatimunjal/binary-classification-with-a-tabular-kidney-stone", "kernel_id": "51972535"}, {"ref": "aryankalia17/kidney-stone-notebook", "kernel_id": "52236809"}, {"ref": "anadyasahai/kidney-stone-prediction-anadya", "kernel_id": "52240644"}, {"ref": "hardikgarg03/kidney-stone-prediction", "kernel_id": "53372275"}, {"ref": "sandeepsharma94169/binary-classification-of-kidney-stone", "kernel_id": "54921910"}, {"ref": "vanshikam28/kidney-stone-notebook", "kernel_id": "54183694"}, {"ref": "vanshikam28/tabular-kidney-stone-prediction", "kernel_id": "54183499"}, {"ref": "shresthapundir/kidney-stone-predict", "kernel_id": "54116085"}, {"ref": "himaanishaggarwal/classification-of-kidney-stone", "kernel_id": "54262371"}, {"ref": "suvidhasrivastava04/notebook0988b33b6f", "kernel_id": "54201331"}, {"ref": "subho2026/kidney-stone-dey", "kernel_id": "55988931"}, {"ref": "brahimy/tabular-kidney-stone-prediction", "kernel_id": "57154706"}, {"ref": "trevorhorner/kidney-stones-eda", "kernel_id": "69202504"}, {"ref": "grantgonnerman/kidney-stone-prediction-eda", "kernel_id": "69183682"}, {"ref": "eastonlarson/kidney-stone-kaggle-project-4", "kernel_id": "69431329"}, {"ref": "codyjanderson/kidney-stone-exploratory", "kernel_id": "69354245"}, {"ref": "brianolave/kaggle-project-4", "kernel_id": "69706484"}, {"ref": "mattbaker7/kaggle-4-assignment", "kernel_id": "69657871"}, {"ref": "daisyarce/class-kaggle-project-4", "kernel_id": "69526836"}, {"ref": "mjmagno/kidney-stone-eda", "kernel_id": "69431353"}, {"ref": "cheven/kidney-stone-prediction-dataset", "kernel_id": "69697068"}, {"ref": "wellj7/wells-project-4", "kernel_id": "69699861"}, {"ref": "orvile/do-you-have-stone", "kernel_id": "75583637"}, {"ref": "zaibunnisaa/kaggle-project-4", "kernel_id": "79845816"}, {"ref": "vnniciusgabriel/tabular-tabular-kidney-stone", "kernel_id": "79139743"}, {"ref": "marinailina1/cv-week-training-pistachio-optuna-tabnet", "kernel_id": "81605039"}, {"ref": "bagnarayanan/binary-classification-with-tabular-kidney-stone", "kernel_id": "83664123"}, {"ref": "jernimopaiva/kidney-stone-prediction", "kernel_id": "123114471"}, {"ref": "kaustubhsardesai/kidney-stone-bayesian-optimization", "kernel_id": "130503717"}]}
{"competition_id": "49201", "kernels": [{"ref": "phongnguyen1/a-framework-for-classification-e17-12-10", "kernel_id": "35762096"}, {"ref": "ranjeetshrivastav/playground-series-s3e9-catboost", "kernel_id": "35833647"}, {"ref": "tetsutani/ps3e13-tabnet-baseline-compare-xgb-lgbm-cat", "kernel_id": "35103683"}, {"ref": "paulreiners/xgb-classifier-playground-series-s3e13", "kernel_id": "37419310"}, {"ref": "furstenwald/xgboost-optuna-vector-borne-disease", "kernel_id": "37972157"}, {"ref": "paddykb/ps-s3e13-keras-haz-prognosis", "kernel_id": "37409752"}, {"ref": "paddykb/ps-s3e13-exploring-features-lasso", "kernel_id": "37573568"}, {"ref": "jankuper192/map-k-in-r-umap-h20-medical-approach-idf", "kernel_id": "37535966"}, {"ref": "lgregory/exemples", "kernel_id": "37493031"}, {"ref": "cv13j0/classification-with-a-tabular-vbd-using-gbdt", "kernel_id": "37393398"}, {"ref": "robikscube/tabular-playground-quickeda", "kernel_id": "37966070"}, {"ref": "wlifferth/generating-map-k-predictions", "kernel_id": "37337424"}, {"ref": "davidhguerrero/230418-pss3-e13-vector-borne-disease", "kernel_id": "37422491"}, {"ref": "davidcoxon/complete-eda-data-egineering-and-model-comparison", "kernel_id": "37565424"}, {"ref": "sourabhk382/ps-s3-13-simple-xgb-10-new-features", "kernel_id": "37603369"}, {"ref": "docxian/ps-s3-e13-disease-classifier-visuals-glm-in-r", "kernel_id": "37425306"}, {"ref": "harpiechoise/first-eda-and-feature-importance-analysis", "kernel_id": "37479692"}, {"ref": "slythe/alternative-libraries-multiclass-xbnet-pyod", "kernel_id": "37372696"}, {"ref": "jonbown/feature-testing-pipeline-ps-s3e13", "kernel_id": "37531006"}, {"ref": "vladlee/s3e13-rfc-optuna", "kernel_id": "37481273"}, {"ref": "oscarm524/ps-s3-ep13-eda-modeling-submission", "kernel_id": "37390419"}, {"ref": "yzokulu/ps3e13-lgbm-cat-xgb-rfc-0-38189", "kernel_id": "37411619"}, {"ref": "yzokulu/vector-borne-disease-rfc-0-4139", "kernel_id": "37748353"}, {"ref": "kimtaehun/simple-eda-and-multi-class-classification", "kernel_id": "37391228"}, {"ref": "craigmthomas/play-s3e13-eda-models", "kernel_id": "37390806"}, {"ref": "jazivxt/swag-bourne-identity", "kernel_id": "37938132"}, {"ref": "nlztrk/naive-voting-ensembler", "kernel_id": "37472562"}, {"ref": "omarvivas/torch-tpgs-s3e13-v1", "kernel_id": "37621157"}, {"ref": "omarvivas/keras-tpgs-s3e13-v1", "kernel_id": "37618096"}, {"ref": "omarvivas/gam-tpgs-s3e13-v1", "kernel_id": "37585395"}, {"ref": "omarvivas/cb-tpgs-s3e13-v1", "kernel_id": "37423826"}, {"ref": "omarvivas/lgbm-tpgs-s3e13-v1", "kernel_id": "37432549"}, {"ref": "omarvivas/xgb-tpgs-s3e13-v1", "kernel_id": "37434763"}, {"ref": "ivanvaccari/voting-approach-with-tuning-algorithm", "kernel_id": "37838884"}, {"ref": "stpeteishii/pss3-ep13-pytorch-lightning-linear", "kernel_id": "37783916"}, {"ref": "stpeteishii/pss3-ep13-visualize-importance", "kernel_id": "37778797"}, {"ref": "ricopue/s3-p13-siamese-contrastive-loss", "kernel_id": "37924528"}, {"ref": "ricopue/s3-p13-siamese", "kernel_id": "37516764"}, {"ref": "tolgayan/31-solution-language-modeling-for-tabular-data", "kernel_id": "37809890"}, {"ref": "mmellinger66/ps3e13-xgboost", "kernel_id": "37560897"}, {"ref": "yashgoo018/kneighbours-with-map-3-and-feature-selection", "kernel_id": "37453286"}, {"ref": "pranaii/eda-s3-e13-playground-series", "kernel_id": "37399131"}, {"ref": "mpwolke/small-bite-0n-vector-borne-diseases", "kernel_id": "37418513"}, {"ref": "deshram/ps-s3-e13-simple-eda-submission", "kernel_id": "37513499"}, {"ref": "jaloeffe92/vector-borne-disease-dataset-baselinesubmission", "kernel_id": "37399916"}, {"ref": "caiocsn2/clustering-symptoms-patterns", "kernel_id": "37474150"}, {"ref": "averma111/ps3e13-map-k-pytorch", "kernel_id": "37683709"}, {"ref": "averma111/ps3e13-map-k-tensorflow", "kernel_id": "37566702"}, {"ref": "crimsoneer/initial-exploration-and-rf-classification", "kernel_id": "37420028"}, {"ref": "acdundore/s3-e13-eda-pca-xgb-w-optuna", "kernel_id": "37801509"}, {"ref": "aonzahaha/ps-ss3-e13-xgb", "kernel_id": "37647707"}, {"ref": "keitashimizu21/firsteda-playground-series-season-3-episode-13", "kernel_id": "37417012"}, {"ref": "charunumesh/ps-s3-e13-eda-modeling", "kernel_id": "37396376"}, {"ref": "akioonodera/ps-3-13-lgbm-multiclass", "kernel_id": "37390423"}, {"ref": "shashankjat10/roti-sabji-vector-borne-predictions", "kernel_id": "37942634"}, {"ref": "rmcabato/s3e13-removing-features-with-low-variance", "kernel_id": "37967917"}, {"ref": "smritirani/s3e13", "kernel_id": "37615414"}, {"ref": "tracyporter/play-3-13-tf-gradient-boost", "kernel_id": "37506533"}, {"ref": "tracyporter/play-3-13-tf-dnn", "kernel_id": "37500429"}, {"ref": "lenferdetroud/ps-ss3-e13-eda", "kernel_id": "37984458"}, {"ref": "marioandrs/exploratory-data-analysis-model", "kernel_id": "37584809"}, {"ref": "romrawinchumpu/ps-s3e13-vector-borne-diseases", "kernel_id": "37395560"}, {"ref": "tolgaik/ps-s3-e13-xgbclassifier-score-0-47368", "kernel_id": "37833218"}, {"ref": "pietromaldini1/simple-baseline-using-idf-and-knn", "kernel_id": "37430316"}, {"ref": "keenanzhuo/pss3e13-disease-prediction-for-n00bz", "kernel_id": "37479770"}, {"ref": "zhukovoleksiy/ps-s3e13-simple-eda-ensemble-baseline", "kernel_id": "37460840"}, {"ref": "zhukovoleksiy/5-solution-ps3e13-ensemble", "kernel_id": "37845038"}, {"ref": "vishweshhampali/ps-s3e13-one-vs-rest-using-logistic-regression", "kernel_id": "37456469"}, {"ref": "sergiosaharovskiy/ps-s3e13-2023-eda-and-submission", "kernel_id": "37399478"}, {"ref": "kimmik123/starter-notebook-ps-s3e13", "kernel_id": "37451722"}, {"ref": "baokar7/ps-s3e13-different-feature-subsets-for-5-models", "kernel_id": "37619613"}, {"ref": "baokar7/ps-s3e13-why-the-columns-shouldn-t-be-dropped", "kernel_id": "37546100"}, {"ref": "baokar7/s3e13-bayesianoptimization-for-weights-of-ensemble", "kernel_id": "37703183"}, {"ref": "baokar7/s3e13-autoencoders-to-reduce-dimensionality", "kernel_id": "37705481"}, {"ref": "georgepnnn/ps-s3e13-cleaning-the-ensemble-better-score", "kernel_id": "37858074"}, {"ref": "mohammadrazeghi/s03e13-simple-eda-baseline", "kernel_id": "37399290"}, {"ref": "yagelosergey/classification-with-a-tabular-vector-borne-disease", "kernel_id": "37884609"}, {"ref": "animeshrockn/playground-3-13-xgboost", "kernel_id": "37939666"}, {"ref": "animeshrockn/playground-3-13-catboost", "kernel_id": "37939880"}, {"ref": "animeshrockn/playground-3-13-naivebayesvariations", "kernel_id": "37939980"}, {"ref": "animeshrockn/playground-3-13-randomforest", "kernel_id": "37932102"}, {"ref": "animeshrockn/playground-3-13-gaussianprocessclassifier", "kernel_id": "37932225"}, {"ref": "animeshrockn/playground-3-13-svm", "kernel_id": "37906087"}, {"ref": "animeshrockn/playground-3-13-lrmodel", "kernel_id": "37834483"}, {"ref": "jimgruman/season3episode13", "kernel_id": "37553216"}, {"ref": "mrsumitjha/s3e13-fast-eda-train-data", "kernel_id": "37450948"}, {"ref": "mrsumitjha/baseline-models-score-strat-k-folds-multiclass", "kernel_id": "37455697"}, {"ref": "neosh11/help-data-engineering-catboost", "kernel_id": "37659782"}, {"ref": "zavidnikitamahbub/ps-s3e13-eda-fe-and-tree-based-ensembles", "kernel_id": "37790177"}, {"ref": "qingbowen/ps3e13-simple-eda-and-model-for-beginners", "kernel_id": "37621494"}, {"ref": "eryaww/mapk-ensembling-submissions", "kernel_id": "37950260"}, {"ref": "ytharth/tabular-vector-born-disease", "kernel_id": "37475494"}, {"ref": "tetsutani/ps3e13-eda-decomposition-ensemble-rankpredict", "kernel_id": "37390815"}, {"ref": "tetsutani/ps3e13-ensemble-by-map-3-baseline", "kernel_id": "37552642"}, {"ref": "rasoulisaeid/vector-borne-diseases-prediction", "kernel_id": "37414941"}, {"ref": "barbagrande007/bbg007-s3e3-diseases", "kernel_id": "37581513"}, {"ref": "mahsazamanifard/s03e13-eda-single-model-baseline", "kernel_id": "37390506"}, {"ref": "satyaprakashshukl/eda-13", "kernel_id": "37390974"}, {"ref": "satyaprakashshukl/neural-network-ps-series-3-e-13", "kernel_id": "37391707"}, {"ref": "hosseinbehjat/lightgbm-hp-optimization-optuna-repeatedkfold", "kernel_id": "37401827"}, {"ref": "burakarslan1/s3e13", "kernel_id": "37853102"}, {"ref": "sujaykapadnis/ps-s3e13-binary-classifiers-ensemble", "kernel_id": "37413808"}, {"ref": "bianchimario/vector-borne-disease-dataset-ps-s3-e13-svc", "kernel_id": "37550810"}, {"ref": "muhriddinmalik/classification-with-a-tvbd-notebook", "kernel_id": "37624422"}, {"ref": "muhriddinmalik/notebook53a370fac1", "kernel_id": "37624420"}, {"ref": "marvy00/tabular-vector-borne-disease", "kernel_id": "37630039"}, {"ref": "klyushnik/episode-13", "kernel_id": "37407946"}, {"ref": "demko1/logisticregression-symptom-importances", "kernel_id": "37773813"}, {"ref": "iniyatj/ps-s3e13-basic-notebook-logisticregression", "kernel_id": "37511080"}, {"ref": "alessandrozanette/s3e13-eda-and-xgboost-with-r", "kernel_id": "37583756"}, {"ref": "eniidras/testing-several-classification-models", "kernel_id": "37722794"}, {"ref": "saketh2992/stacking-and-other-ml-models", "kernel_id": "37493393"}, {"ref": "aasnegha/simple-dimensionreduction-modelselection", "kernel_id": "37442994"}, {"ref": "dharshinisankarraj/classification-with-a-vector-borne-disease", "kernel_id": "37980143"}, {"ref": "andrusha95/ps3e13-eda-decomposition-ensemble-rankpredict", "kernel_id": "37495601"}, {"ref": "sahilkumar101/ps3e13-nn", "kernel_id": "37429013"}, {"ref": "patriciabrezeanu/eda-feature-engineering-and-model-submission", "kernel_id": "37449531"}, {"ref": "owendossett/conversion-of-tetsu2131-solution-to-map-3", "kernel_id": "37596815"}, {"ref": "kapturovalexander/kapturov-s-playground-series-s3-e13", "kernel_id": "37922558"}, {"ref": "jonasvanvinckenroye/s3e13-simple-svc-classifier", "kernel_id": "37432966"}, {"ref": "soraharada/play-s3e13-modeling", "kernel_id": "37565378"}, {"ref": "yusuphmustaphaladi/multiple-algorithms-and-feature-engineering", "kernel_id": "37704529"}, {"ref": "carlosaugustomar/episode-13-classification-with-a-tabular-vector", "kernel_id": "37964673"}, {"ref": "joochaicoski/eda-models", "kernel_id": "37391484"}, {"ref": "abhinavmangalore/s3e13-svm-and-boosting-ensembles", "kernel_id": "37987539"}, {"ref": "abhinavmangalore/s3-e13-vector-borne-prediction-simple-ann", "kernel_id": "37916302"}, {"ref": "kenjif/ps-3-13-0422-xgboost", "kernel_id": "37593747"}, {"ref": "iqbalsyahakbar/ps3e13-simple-eda-pca-and-model-for-beginners", "kernel_id": "37410666"}, {"ref": "iqbalsyahakbar/ps3e13-late-solution", "kernel_id": "37891306"}, {"ref": "mattop/ps-s3-e13-important-features-for-each-disease", "kernel_id": "37390450"}, {"ref": "mattop/ps-s3-e13-public-lb-target-variable-distribution", "kernel_id": "37672565"}, {"ref": "smjishanulislam/classification-with-a-tabular-vector-borne-disease", "kernel_id": "37510064"}, {"ref": "daskoushik/ps-s3-e13", "kernel_id": "37425453"}, {"ref": "richeyjay/classification-of-vector-borne-disease-s-eda", "kernel_id": "37422601"}, {"ref": "erokhinvitaly/ps-s3e13-cleaning-the-ensemble-better-score", "kernel_id": "37610857"}, {"ref": "francescoliveras/ps-s3-e13-eda-model-en-es", "kernel_id": "37645848"}, {"ref": "ahmeturunveren/plays3e13", "kernel_id": "37427294"}, {"ref": "belati/vector-borne-disease-how-to-engineer-the-data", "kernel_id": "37691862"}, {"ref": "belati/vector-borne-disease-eda-why-our-model-sucks", "kernel_id": "37591677"}, {"ref": "aman7kumar/vector-borne-disease-multi", "kernel_id": "37696822"}, {"ref": "mewmlelswm/s3e13-xgboost-v2-cv0-38300", "kernel_id": "37600628"}, {"ref": "dustinober/tabular-vector-borne-disease", "kernel_id": "37479762"}, {"ref": "abocadobaby/does-oversampling-improve-model-performance", "kernel_id": "37407091"}, {"ref": "abocadobaby/ps-3ep-13-pca-keras", "kernel_id": "37566139"}, {"ref": "tejasvichaturvedi/vb-disease-k-fold", "kernel_id": "37867702"}, {"ref": "nazimcherpanov/s3e13-xgboost-catboost", "kernel_id": "37401770"}, {"ref": "dekomorisanae09/pse13-simple-eda-and-randomforrest", "kernel_id": "37406587"}, {"ref": "masayamitsushio/baseline", "kernel_id": "37779416"}, {"ref": "anantbansal1223/s3-e13-vector-borne-prediction", "kernel_id": "37946292"}, {"ref": "anantbansal1223/notebook545959c305", "kernel_id": "37947915"}, {"ref": "irda22/ps-s3e13-svc-model", "kernel_id": "37947720"}, {"ref": "chrischapman12343/prognosis-predictions", "kernel_id": "37828840"}, {"ref": "kaizen97/v0-xgboost", "kernel_id": "37813388"}, {"ref": "kaizen97/v0-predictions", "kernel_id": "37806530"}, {"ref": "andreaskaufmann/s3e13-models-svc", "kernel_id": "37427180"}, {"ref": "fabricelaura/projet-ia2", "kernel_id": "37537151"}, {"ref": "pradeepsapparapu/ps-s3-ep13-eda-modeling-submission", "kernel_id": "37515429"}, {"ref": "pradeepsapparapu/ps13-tabular-classification-easy-steps", "kernel_id": "37617882"}, {"ref": "neupane9sujal/ps3e13-ensemble-cb-xgb-lgbm-rf", "kernel_id": "37612264"}, {"ref": "panini92/playground-s3e13-eda-random-forest", "kernel_id": "37429231"}, {"ref": "oksanalutz/ps-s3e13-fe-and-catboost-keep-all", "kernel_id": "37830475"}, {"ref": "d3stron/disease-prediction-using-pytorch-and-neural-nets", "kernel_id": "37593238"}, {"ref": "eleonoraricci/feature-selection-mutual-information-score", "kernel_id": "37592536"}, {"ref": "eleonoraricci/implementing-pipelines-productivity-reusability", "kernel_id": "37629310"}, {"ref": "mnokno/vectorbornediseaseprediction", "kernel_id": "37964697"}, {"ref": "dhlongg/classification-with-a-tabular-vector-borne-disease", "kernel_id": "37968314"}, {"ref": "matthewsfarmer/ps-s3-13", "kernel_id": "37394025"}, {"ref": "nakulshahdadpuri314/basic-eda-with-sample-submission", "kernel_id": "37475017"}, {"ref": "jenifar/episode-13-votingclassifier", "kernel_id": "37618137"}, {"ref": "samfouad/classification-with-a-tvcbd-mlm", "kernel_id": "37426628"}, {"ref": "rfeng12/s3e13-basic-solution-with-decent-error", "kernel_id": "37844321"}, {"ref": "albertgalimov/now-i-have-new-phobias", "kernel_id": "37744007"}, {"ref": "harrshsinghhh/notebook345fdf9aad", "kernel_id": "37542735"}, {"ref": "saeschtheflash/playground-series-season-3-episode-13", "kernel_id": "37507681"}, {"ref": "rosmen/umap-voting-ensemble", "kernel_id": "37692371"}, {"ref": "pratul007/trying-multiple-model-with-different-approaches", "kernel_id": "38020802"}, {"ref": "larsmadsen/11th-place-in-competition", "kernel_id": "38022968"}, {"ref": "eryaww/top-29-using-baseline", "kernel_id": "38005539"}, {"ref": "act18l/ps-s3e13-denoise-autoencoder-nn-cv-0-48-pb-0-44", "kernel_id": "38004882"}, {"ref": "suzzystranger/vector-borne-disease-lgb-map-k", "kernel_id": "38633213"}, {"ref": "mateuszgrzybpl/4-solution-randomforrest-optuna-oob-score", "kernel_id": "38089915"}, {"ref": "katenn/knn-predictions", "kernel_id": "38324614"}, {"ref": "emperorpein/classification-with-a-tabular-vector-borne-disease", "kernel_id": "38690679"}, {"ref": "anjilasubedi/multiclass-different-models", "kernel_id": "38734693"}, {"ref": "owendossett/fork-of-ensemble-using-testu-alg", "kernel_id": "38289921"}, {"ref": "aagamanbhattarai/multiclass", "kernel_id": "38676047"}, {"ref": "niteshrajbanshi/classification-with-a-tabular-vector-borne-disease", "kernel_id": "38650544"}, {"ref": "melinasingh/classification-vector-borne-disease", "kernel_id": "38742068"}, {"ref": "dmitriiiakovtsev/sad-05-iakovtsev", "kernel_id": "38724836"}, {"ref": "pranjalpokhrel/classification-assignment", "kernel_id": "38760019"}, {"ref": "dmitrykhomyakov/sad-6", "kernel_id": "38116882"}, {"ref": "juliapshen1608/pshenichnikovajulia-4206m-lab5", "kernel_id": "38228019"}, {"ref": "juliapshen1608/notebookab9688b95e", "kernel_id": "38125702"}, {"ref": "jomaster/k-nearest-neighbor-method", "kernel_id": "38238197"}, {"ref": "metlnfoor/playground-series-3-13", "kernel_id": "38282270"}, {"ref": "justingunderson/tabular-playground-quickeda", "kernel_id": "38086229"}, {"ref": "prarthanachalise/multiclassdifferent-models", "kernel_id": "38764964"}, {"ref": "anuprajpaudel/classification-with-a-tabular-vector-borne-disease", "kernel_id": "38775950"}, {"ref": "napsnu/classification-with-a-tabular-vector-borne-disease", "kernel_id": "38774750"}, {"ref": "jmascacibar/tabular-vector-borne-disease-private-score-0-49561", "kernel_id": "38024332"}, {"ref": "affankhan8499/classification-with-a-tabular-vector-borne", "kernel_id": "38599235"}, {"ref": "jakubkuliski/tabular-vector-borne-disease-classification", "kernel_id": "38368230"}, {"ref": "rakshyabhusal/classification-with-a-tabular-vector-borne-disease", "kernel_id": "38733453"}, {"ref": "prasiddhakoirala/vector-borne-disease", "kernel_id": "38776215"}, {"ref": "catadanna/partiel-m2-da-etudiant", "kernel_id": "39171679"}, {"ref": "junpeimishima/classification-with-a-tabular-vector-borne-disease", "kernel_id": "39254223"}, {"ref": "shunkaida/playground-13-3-optuna", "kernel_id": "40292258"}, {"ref": "anissaprameswari/kaggle-prognosis", "kernel_id": "40496803"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "hemanthnagasai/notebook1eb322d94c", "kernel_id": "40128803"}, {"ref": "yakinoki/classification-with-a-tabular-vector-borne-disease", "kernel_id": "41579330"}, {"ref": "pyrotech/tensorflow-decision-tree-tfdf-forest-33-55", "kernel_id": "42632184"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "orianachavez/classification-with-a-tabular-vector-practice", "kernel_id": "43743245"}, {"ref": "suvansh03/support-vector-classifier", "kernel_id": "50688827"}, {"ref": "amanaayush/classification-tabular-vector-borne-disease-49", "kernel_id": "50521083"}, {"ref": "yatharthgautam123789/tabular-vector-borne-disease", "kernel_id": "50728640"}, {"ref": "udaysharma007/vector-borne-disease", "kernel_id": "50728081"}, {"ref": "raghav723/map-k-predictions", "kernel_id": "51586454"}, {"ref": "ujjvalvashisht/classification-with-a-tabular-vector-borne-disease", "kernel_id": "51075238"}, {"ref": "priyanshu54200/borne-disease-ps", "kernel_id": "51509979"}, {"ref": "puneetgupta24/tabular-vector-borne-disease", "kernel_id": "52488017"}, {"ref": "kkamal2003/classification-with-a-tabular-vector-borne-disease", "kernel_id": "54784415"}, {"ref": "innixma/aideml-test", "kernel_id": "55409997"}, {"ref": "abdelrahmanhanafy/cc519-classification-methods-analysis", "kernel_id": "55971704"}, {"ref": "nitleenk/tabular-vector-borne-disease", "kernel_id": "55197144"}, {"ref": "abdelrahmanhanafy/fork-of-cc519-classification-methods-analysis", "kernel_id": "57397531"}, {"ref": "xopcxopcob/notebook316fe4d0ef", "kernel_id": "73492685"}, {"ref": "spirichev/spirichev-sad-3", "kernel_id": "82640517"}, {"ref": "osamamoo/borne-disease", "kernel_id": "92918999"}, {"ref": "marwanalimohamed/borne-disease-prediction", "kernel_id": "92840199"}, {"ref": "zqx960151285/classification-with-a-tabular-vector-borne-disease", "kernel_id": "130433080"}, {"ref": "alexissheredia/ps-s3-e13-eda-model-en-es", "kernel_id": "135455654"}]}
{"competition_id": "49210", "kernels": []}
{"competition_id": "49215", "kernels": []}
{"competition_id": "49223", "kernels": []}
{"competition_id": "49224", "kernels": [{"ref": "thomasdubail/pred-buried-object-location", "kernel_id": "35896416"}]}
{"competition_id": "49231", "kernels": []}
{"competition_id": "49259", "kernels": []}
{"competition_id": "49263", "kernels": []}
{"competition_id": "49290", "kernels": []}
{"competition_id": "49321", "kernels": []}
{"competition_id": "49326", "kernels": []}
{"competition_id": "49330", "kernels": [{"ref": "oliviaschmitt/disaster-tweets", "kernel_id": "48293420"}, {"ref": "adityadurugkar/disaster-tweets-classification", "kernel_id": "50098262"}, {"ref": "shashwatsaini04/disaster-tweet-prediction-inference", "kernel_id": "50556620"}, {"ref": "ashdrogba11/notebook1f63551a91", "kernel_id": "52417084"}, {"ref": "safiyabanumoshark/natural-language-processing", "kernel_id": "55259725"}, {"ref": "dranilkumardubey/anil-tweet", "kernel_id": "81817147"}, {"ref": "sharank7911/bert-classifier-training", "kernel_id": "83827934"}, {"ref": "aoiarima/notebookd712734455", "kernel_id": "86386384"}, {"ref": "aoiarima/notebook60e785dc63", "kernel_id": "87778902"}, {"ref": "mlin34/sentiment-analysis-using-llms", "kernel_id": "89681018"}, {"ref": "edithwong/notebookblahblah", "kernel_id": "122126032"}, {"ref": "seguuu/notebook20c3402bd8", "kernel_id": "126565121"}]}
{"competition_id": "49338", "kernels": [{"ref": "hamadalnakal/nssa-solution", "kernel_id": "35923868"}]}
{"competition_id": "49349", "kernels": [{"ref": "theholycityweb/tesla-future-price-2023-using-lstm", "kernel_id": "36645513"}, {"ref": "dnth90/potential-issues-duplicates-and-anomalies", "kernel_id": "37392089"}, {"ref": "vinitkp/r-eda-image-matching", "kernel_id": "37907485"}, {"ref": "vinitkp/python-image-matching", "kernel_id": "37969318"}, {"ref": "stpeteishii/image-matching-2023-rotation-matrix", "kernel_id": "37160537"}, {"ref": "mpwolke/sfm-pycolmap-kulyk", "kernel_id": "37169162"}, {"ref": "mohtraor/image-matching-challenge-2023-exploration", "kernel_id": "37179446"}, {"ref": "averma111/pytorch-image-matching", "kernel_id": "37430982"}, {"ref": "leonidkulyk/eda-imc-3d-plots-interactive-vis", "kernel_id": "37136525"}, {"ref": "eduardtrulls/imc2023-evaluation", "kernel_id": "37128945"}, {"ref": "eduardtrulls/imc-2023-submission-example", "kernel_id": "37133619"}, {"ref": "eduardtrulls/imc2023-training-data", "kernel_id": "37135397"}, {"ref": "robber19/trail-1", "kernel_id": "37442756"}, {"ref": "mewmlelswm/sift-image-matching", "kernel_id": "37624421"}, {"ref": "dustinober/image-matching", "kernel_id": "37386504"}, {"ref": "peshaladushyanthika/notebook23eade8733", "kernel_id": "37821999"}, {"ref": "dharavathramdas/eda-to-see-the-data-total-info", "kernel_id": "37526787"}, {"ref": "siddharthkumarsah/image-matching-challenge-2023-eda", "kernel_id": "38047860"}, {"ref": "sachinkumar413/imc-2k23", "kernel_id": "38300807"}, {"ref": "bhavesjain/imc-2023-submission-example", "kernel_id": "38613083"}, {"ref": "jitshil143/eda-image-matching-challenge", "kernel_id": "38183028"}, {"ref": "chaitanya74466/eda-imc-3d-plots-interactive-vis", "kernel_id": "38698136"}, {"ref": "thomasrochefort/how-to-offline-depth-estimation-with-midas-dpt", "kernel_id": "38160772"}, {"ref": "mohammadripan/eda-image-matching-analysis", "kernel_id": "38012845"}, {"ref": "nithyashreev/imc-2023-submission-example", "kernel_id": "38384675"}, {"ref": "mdsalmanshams/imc23", "kernel_id": "38251455"}, {"ref": "lenferdetroud/imc-2023-submission1", "kernel_id": "38063248"}, {"ref": "secob209radhakadam/image-mapping", "kernel_id": "38260918"}, {"ref": "omarpintado/image-match-eda-orb-ransac", "kernel_id": "38713036"}, {"ref": "jocelyndumlao/sift-image-matching-challenge", "kernel_id": "38941547"}, {"ref": "benormal/pytorch-base", "kernel_id": "38184140"}, {"ref": "dasithniwanthaka/imc-2023-submission-example-334199", "kernel_id": "38409787"}, {"ref": "bachngoh/imc-2023-testing", "kernel_id": "38440945"}, {"ref": "yoyobar/get-cameras-parameter", "kernel_id": "38217178"}, {"ref": "suraj520/superpoint-magicleap-as-a-local-feature-extractor", "kernel_id": "38711076"}, {"ref": "bobfromjapan/imc-2023-submission-92nd-solution", "kernel_id": "38471119"}, {"ref": "qi7axu/imc-2023-submission-example", "kernel_id": "38911389"}, {"ref": "alexanderveicht/imc2023-from-repo", "kernel_id": "38594152"}, {"ref": "jessevanderlinden/image-matching-data-discovery-and-sift-features", "kernel_id": "38032474"}, {"ref": "sathishkumartheta/dataloader-for-imc-2023-ipynb", "kernel_id": "38771410"}, {"ref": "sathishkumartheta/imc-2023-eda-of-rotmat-and-transvect-ipynb", "kernel_id": "38789313"}, {"ref": "zhongwenhao/imc-2023-baseline-hloc", "kernel_id": "38400098"}, {"ref": "soulabi/imc-2023-submission1", "kernel_id": "38009034"}, {"ref": "dungtnguyen21/notebook4eda3465bf", "kernel_id": "38149442"}, {"ref": "pawchen/perf-checking-between-cv-and-pil", "kernel_id": "38058937"}, {"ref": "mainaksil/image-matching", "kernel_id": "38099115"}, {"ref": "mainaksil/imc-2023", "kernel_id": "38066573"}, {"ref": "socratis/fork-of-multi-descriptors", "kernel_id": "39669765"}, {"ref": "socratis/multi-descriptors-magsac", "kernel_id": "39810488"}, {"ref": "gunesevitan/image-matching-challenge-2023-inference", "kernel_id": "39441042"}, {"ref": "maxchen303/imc2023-test-notes", "kernel_id": "39847708"}, {"ref": "anonymousyuxiang/keynet-adalam-with-best-params", "kernel_id": "39286261"}, {"ref": "bachngoh/imc-2023-matrices-ensemble", "kernel_id": "39291197"}, {"ref": "jaafarmahmoud1/pixel-perfect-sfm-on-kaggle", "kernel_id": "39908967"}, {"ref": "sabahesaraki/image-matching-challenge-google", "kernel_id": "39848926"}, {"ref": "nsry1233/imc-2023-submission-example-f86c41", "kernel_id": "39267377"}, {"ref": "anying99/superglue", "kernel_id": "39990189"}, {"ref": "rodrigosbautista/2d-to-3d-google", "kernel_id": "39121709"}, {"ref": "sathishkumartheta/imc2023-transformer-transvect-ipynb", "kernel_id": "39766006"}, {"ref": "sathishkumartheta/imc2023-transformer-rotmat-ipynb", "kernel_id": "39763951"}, {"ref": "chuyu99/d-ng-3d-point-cloud-c-vi-n-chi-n", "kernel_id": "39783507"}, {"ref": "tuytnhilmtgfg/3d-n-oooooooooooooooooooooo", "kernel_id": "39190042"}, {"ref": "tuytnhilmneh/3d-ch-nh", "kernel_id": "39777549"}, {"ref": "iru538/imc2023-keynetaffnethardnet-adalam", "kernel_id": "40010892"}, {"ref": "maxchen303/imc2023-final-pub", "kernel_id": "40262884"}, {"ref": "allenwpr/public-baseline-private-lb0-351", "kernel_id": "40226355"}, {"ref": "talhareyaz/3d-reconstruction-sfm-colmap", "kernel_id": "41071972"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "motono0223/imagematching-loftr-example", "kernel_id": "43268137"}, {"ref": "motono0223/imagematching-dkm-example", "kernel_id": "43267638"}, {"ref": "kevinpruvost/tsinghua-rapha-l-boris-kevin", "kernel_id": "44138651"}, {"ref": "rahmatullahmahin/3d-point-cloud-brain-tumor", "kernel_id": "44858521"}, {"ref": "franciszhou1/loftr-with-drawmatches", "kernel_id": "46289636"}, {"ref": "azsymbobby/notebook887af81e13", "kernel_id": "48521450"}, {"ref": "mukit0/rotation-correction-imc2023-2nd-position-solution", "kernel_id": "50677720"}, {"ref": "edolele/tyclass-9-1-image-matching-sift-features", "kernel_id": "51693583"}, {"ref": "mukit0/superpoint-imc2023-2nd-position", "kernel_id": "51246890"}, {"ref": "armyrcn/rotation-correction-imc2023-2nd-position-solution", "kernel_id": "55630401"}, {"ref": "iqranaz240/acv-project", "kernel_id": "56889921"}, {"ref": "jeansathiwat/image-matching-challenge-2023-inference", "kernel_id": "56982024"}, {"ref": "anonymousyuxiang/16th-place-solution-imc-2023", "kernel_id": "58698679"}, {"ref": "greatgreysheep/imc2023-from-repo", "kernel_id": "58300176"}, {"ref": "poisonousdragon/imc2023-from-repo", "kernel_id": "58685391"}, {"ref": "poisonousdragon/imc-2023-submission-example-4b7e4d", "kernel_id": "58684419"}, {"ref": "cyberguru89/imc2023-from-repo", "kernel_id": "58684648"}, {"ref": "vincenthmil/imc-2023-submission-example-9645fa", "kernel_id": "58684847"}, {"ref": "gemknight/superpoint-imc2023-2nd-position", "kernel_id": "58685040"}, {"ref": "erechtheus/imc-2023-submission-example-4b7e4d", "kernel_id": "58653811"}, {"ref": "erechtheus/imc-2023-2024-submission-example-9645fa", "kernel_id": "58655216"}, {"ref": "erechtheus/imc-2023-submission-example-01c237", "kernel_id": "58655523"}, {"ref": "linjohnsss/imc2023-final-pub", "kernel_id": "83973556"}, {"ref": "hjhjhjhhjhjhhh/6th-place-reproduce-with-lightglue", "kernel_id": "83653514"}, {"ref": "helloworldsbyroy/imc2023-test-notes-bf94d4", "kernel_id": "83753974"}, {"ref": "efliao/imc2023", "kernel_id": "83817931"}, {"ref": "jayinnn/vggt-imc", "kernel_id": "84030491"}, {"ref": "sraytsai/solution-imc-2023", "kernel_id": "84150702"}, {"ref": "sean20405/imc2023-from-repo", "kernel_id": "84076150"}, {"ref": "stpeteishii/photogrammetry-from-images-of-imc2023", "kernel_id": "85194376"}, {"ref": "stpeteishii/imc2023-fountain-pycolmap-camera-positions", "kernel_id": "86053609"}, {"ref": "stpeteishii/imc2023-bike-gaussian-splatting-w-interpolated", "kernel_id": "93720843"}, {"ref": "stpeteishii/imc2023-fountain-gaussian-splatting", "kernel_id": "93415113"}, {"ref": "stpeteishii/fountain-photos-gaussian-splat-wo-camera-info", "kernel_id": "94672088"}, {"ref": "stpeteishii/instance-segmentation-for-human-contour-removal", "kernel_id": "106971716"}, {"ref": "stpeteishii/fountain-gaussian-splat-w-biplet-square", "kernel_id": "106625847"}, {"ref": "stpeteishii/install-mast3r", "kernel_id": "106694354"}, {"ref": "stpeteishii/comparison-of-image-normalization-methods", "kernel_id": "106439655"}, {"ref": "stpeteishii/3d-reconstruction-mast3r-w-ps3", "kernel_id": "108390881"}, {"ref": "stpeteishii/3d-reconstruction-mast3r-w-ps2", "kernel_id": "108370526"}, {"ref": "stpeteishii/3d-reconstruction-mast3r-w-ps1", "kernel_id": "108307479"}, {"ref": "stpeteishii/convert-colmap-text-files-to-point-cloud-ply", "kernel_id": "108834267"}, {"ref": "stpeteishii/fountain-dino-lightglue-colmap-gaussiansplat", "kernel_id": "108957130"}, {"ref": "stpeteishii/fountain-dino-mast3r-ps3-gaussiansplat", "kernel_id": "108957286"}, {"ref": "stpeteishii/fountain-mip-gaussian-splat-w-biplet-colmap", "kernel_id": "109429545"}, {"ref": "stpeteishii/fountain-3d-gaussian-splat-w-biplet-colmap", "kernel_id": "109429556"}, {"ref": "stpeteishii/fountain-2d-gaussian-splat-w-biplet-colmap", "kernel_id": "109429563"}, {"ref": "stpeteishii/fountain-scaffold-gaussian-splat-w-biplet-colmap", "kernel_id": "109434706"}, {"ref": "stpeteishii/cyprus-3d-reconstruction-vggt-wo-biplet", "kernel_id": "110236336"}, {"ref": "stpeteishii/cyprus-3d-reconstruction-mast3r-wo-biplet", "kernel_id": "110236458"}, {"ref": "stpeteishii/bike-3d-recon-vggt-slam", "kernel_id": "111536502"}, {"ref": "stpeteishii/chairs-3d-recon-vggt-slam-w-dual-gpus", "kernel_id": "114052813"}]}
{"competition_id": "49374", "kernels": [{"ref": "pradeepsapparapu/copy-of-titanic", "kernel_id": "37028661"}]}
{"competition_id": "49375", "kernels": [{"ref": "takahironamatame/c-titanic", "kernel_id": "36661592"}]}
{"competition_id": "49384", "kernels": []}
{"competition_id": "49391", "kernels": []}
{"competition_id": "49395", "kernels": []}
{"competition_id": "49426", "kernels": [{"ref": "ahmadalijamali/black-hole-prediction", "kernel_id": "36044871"}, {"ref": "habiburrahamanfahim/potential-black-holes-and-classification", "kernel_id": "41973725"}]}
{"competition_id": "49428", "kernels": []}
{"competition_id": "49429", "kernels": []}
{"competition_id": "49444", "kernels": []}
{"competition_id": "49500", "kernels": []}
{"competition_id": "49511", "kernels": []}
{"competition_id": "49518", "kernels": []}
{"competition_id": "49552", "kernels": [{"ref": "gabriellesmith/gabriellesmith", "kernel_id": "36305351"}, {"ref": "carlobroderick/carlo-broderick-eds-232-final", "kernel_id": "36308381"}, {"ref": "oldjerry/ph-prediction", "kernel_id": "36109080"}, {"ref": "andredextre/lab-7-submission-1", "kernel_id": "36128596"}, {"ref": "javipatron/notebook-hispano", "kernel_id": "36305109"}, {"ref": "victoriacutler/victoriacutler-lab7", "kernel_id": "36335922"}]}
{"competition_id": "49580", "kernels": []}
{"competition_id": "49584", "kernels": [{"ref": "ka111i/aiaa5032-hw2", "kernel_id": "36334009"}]}
{"competition_id": "49590", "kernels": []}
{"competition_id": "49595", "kernels": [{"ref": "andreyglpro/basic", "kernel_id": "36069297"}, {"ref": "counterprogrammer/random-forest", "kernel_id": "36311720"}, {"ref": "furikus/regression-techniques-house-prices", "kernel_id": "36561417"}, {"ref": "furikus/basic", "kernel_id": "36559362"}]}
{"competition_id": "49697", "kernels": []}
{"competition_id": "49703", "kernels": [{"ref": "yasstake/example-of-optuna-hyper-parameter-tuning", "kernel_id": "36551893"}, {"ref": "yasstake/kaggle-baseline", "kernel_id": "36682913"}, {"ref": "wordcards/lightgbm-baseline", "kernel_id": "36238941"}, {"ref": "wordcards/under-sampling-predicting-seriously-ill", "kernel_id": "36507509"}, {"ref": "wordcards/missingno-venn2", "kernel_id": "36310304"}, {"ref": "hiro0728/k-fold-randomized-serch-lightgbm-baseline", "kernel_id": "36810172"}, {"ref": "kentak0928/pycaret-quick-prediction-of-seriously-ill-patients", "kernel_id": "36983284"}, {"ref": "kentak0928/baseline-cross-validation-with-lightgbm-patients", "kernel_id": "36396608"}, {"ref": "kentak0928/adversarial-validation-testing-ill-patients", "kernel_id": "36387171"}, {"ref": "kentak0928/baseline-hold-out-with-neural-network-ill-patients", "kernel_id": "36191550"}, {"ref": "kentak0928/baseline-hold-out-with-extratrees-ill-patients", "kernel_id": "36145167"}, {"ref": "kentak0928/quick-eda-1-0-prediction-of-seriously-ill-patients", "kernel_id": "36161634"}, {"ref": "kentak0928/baseline-hold-out-with-xgboost-ill-patients", "kernel_id": "36269890"}, {"ref": "mecabpro/tabnet-baseline", "kernel_id": "36643903"}, {"ref": "ainocapm/pytorch-simple-neuralnetwork", "kernel_id": "36700577"}, {"ref": "ainocapm/pseudo-labeling-and-downsampling", "kernel_id": "36430429"}, {"ref": "ryotapy/simpleeda-lgbmbaseline", "kernel_id": "36397125"}, {"ref": "l4bonny/explorationpredictionpatientseverity", "kernel_id": "36480267"}, {"ref": "wordcards/3rd-place-solution-predicting-seriously-ill", "kernel_id": "37314451"}, {"ref": "lovinggirls/pycaret-patient-prediction", "kernel_id": "37462466"}, {"ref": "kentak0928/reverse-prediction-auc-seriously-ill-patient", "kernel_id": "37393169"}, {"ref": "toru59er/lgbm-baselin-0-89236", "kernel_id": "37064206"}, {"ref": "ainocapm/simple-ensemble-prediction-of-seriously", "kernel_id": "37598725"}, {"ref": "yakinoki/lightgbm-practice-with-optuna", "kernel_id": "40200434"}]}
{"competition_id": "49720", "kernels": [{"ref": "tracyporter/diamonds-tf-ann", "kernel_id": "39132547"}, {"ref": "abocadobaby/oof-ensemble-stacking", "kernel_id": "39140344"}, {"ref": "amitsurpur/daimonds-price-my-first-competition", "kernel_id": "39093021"}]}
{"competition_id": "49748", "kernels": []}
{"competition_id": "49800", "kernels": []}
{"competition_id": "49801", "kernels": []}
{"competition_id": "49810", "kernels": [{"ref": "erfannaseritaheri/erfan-s-ml-competition", "kernel_id": "36170649"}, {"ref": "archisman24/matrimonial-prediction", "kernel_id": "36181667"}]}
{"competition_id": "49820", "kernels": [{"ref": "christmashuang/covid-19-detection-based-on-transfer-learning", "kernel_id": "26123154"}, {"ref": "averma111/sl2training-part-1", "kernel_id": "36425945"}, {"ref": "averma111/sl2training-part-2", "kernel_id": "36528118"}, {"ref": "johaynaahmad/classification-images", "kernel_id": "36941544"}, {"ref": "amalhijaze/classification-images", "kernel_id": "36814964"}, {"ref": "christmashuang/transefer-learning-unet-densenet-93-811", "kernel_id": "36919269"}, {"ref": "baselanaya/covid-chest-x-ray-images-detection-using-cnn", "kernel_id": "36592648"}, {"ref": "midojr/covid-19-classification-using-vgg19", "kernel_id": "36433021"}, {"ref": "qaysabumahfouz/shai-deeplearning-covid19", "kernel_id": "37229330"}, {"ref": "abduulrahmankhalid/pre-trained-models-comparisons-place-solution", "kernel_id": "37227207"}, {"ref": "diinaaahmed/covid-19-detection-using-cnn", "kernel_id": "37056029"}, {"ref": "rupeshmahanty/research-3-classes", "kernel_id": "50243742"}]}
{"competition_id": "49838", "kernels": []}
{"competition_id": "49845", "kernels": []}
{"competition_id": "49854", "kernels": []}
{"competition_id": "49858", "kernels": []}
{"competition_id": "49884", "kernels": [{"ref": "yunsuxiaozi/host-linear-regression-rmse-478-83", "kernel_id": "38015490"}]}
{"competition_id": "49888", "kernels": []}
{"competition_id": "49890", "kernels": []}
{"competition_id": "49891", "kernels": [{"ref": "rech22/guide-to-a-basic-submission", "kernel_id": "36288203"}]}
{"competition_id": "49892", "kernels": []}
{"competition_id": "49900", "kernels": [{"ref": "jeffheaton/simple-beach-count", "kernel_id": "36226651"}, {"ref": "fionaxu666/mcnn-for-beach-count-task", "kernel_id": "36522882"}, {"ref": "ohvasiliy/simple-beach-count", "kernel_id": "37501288"}, {"ref": "daisy0419/effcientnet", "kernel_id": "37687338"}, {"ref": "grayanne/kaggle-resnet-gray", "kernel_id": "37678750"}, {"ref": "ohvasiliy/simple-beach-count-1", "kernel_id": "38300090"}]}
{"competition_id": "49903", "kernels": [{"ref": "tqrahman/simple-lstm-pytorch", "kernel_id": "36266623"}, {"ref": "ksooklall/xgboost-optuna-vs-prophet", "kernel_id": "36260367"}, {"ref": "speccra/rob-s-sleep-hours-prophet-optuna", "kernel_id": "36388884"}, {"ref": "oscarm524/rob-sleep-prediction-eda-baseline", "kernel_id": "36247210"}, {"ref": "michau96/predict-sleep-lightgbm-with-time-k-fold", "kernel_id": "36434896"}, {"ref": "akmalmir/from-zzz-s-to-xgboost-rob-mulla-s-sleep-hours", "kernel_id": "36715341"}, {"ref": "danpresil1/extracting-data-from-apple-health-app-s-export-xml", "kernel_id": "36326409"}, {"ref": "mpwolke/purifying-rob-s-sleep-patterns", "kernel_id": "36739077"}, {"ref": "nilllas/series-cv-techniques-with-deep-learning", "kernel_id": "36516991"}, {"ref": "edomingo/average-baseline", "kernel_id": "36264158"}, {"ref": "airqualityanthony/pogchamps4-prophet-arima-xgboost-ensemble", "kernel_id": "36238279"}, {"ref": "ray328/18-lines-to-top-25", "kernel_id": "36434979"}, {"ref": "ray328/eda-and-random-submission", "kernel_id": "36311538"}, {"ref": "timtadros/30minutekagglesleepfeaturegeneration", "kernel_id": "36742643"}, {"ref": "timtadros/1st-place-solution", "kernel_id": "36742953"}, {"ref": "timtadros/sleep-get30mintraindata", "kernel_id": "36686204"}, {"ref": "ilyasokolov/cnn-optional-lstm-tensorflow-choosing-parameters", "kernel_id": "36440521"}, {"ref": "marcustam/rob-mulla-sleep-notebook", "kernel_id": "36260839"}, {"ref": "justinmustaine/readme", "kernel_id": "36380635"}, {"ref": "rolanderdei/predict-my-sleep-patterns-with-simple-ensembling", "kernel_id": "36259940"}, {"ref": "henriupton/from-zzz-s-to-xgboost-rob-mulla-s-sleep-hours", "kernel_id": "36258819"}, {"ref": "nathanbitu/top-19-predicting-rob-s-sleep-schedule", "kernel_id": "36295567"}, {"ref": "zhukovoleksiy/rob-s-sleep-baseline-prediction", "kernel_id": "36792028"}, {"ref": "kagancatan/neuralprophet-prophet-baseline", "kernel_id": "36286535"}, {"ref": "sujaykapadnis/simple-blend-arima", "kernel_id": "36658417"}, {"ref": "shabareesharyan/sleep-pattern", "kernel_id": "36509955"}, {"ref": "matasferrn/rob-mulla-competition-predict-my-sleep-patterns", "kernel_id": "36245415"}, {"ref": "dorianmb/predict-my-sleep-quick-start", "kernel_id": "36725155"}, {"ref": "dekomorisanae09/rob-s-sleep-prediction-dbscan", "kernel_id": "36267755"}, {"ref": "tastyshoe/predictsleep", "kernel_id": "36636449"}, {"ref": "kaggledoodler/parsing-xml-file-rob-s-sleep-data", "kernel_id": "36309364"}, {"ref": "mliammm/my-baseline-ex-outliers", "kernel_id": "36257713"}, {"ref": "estiven0507/predict-my-sleep-competition", "kernel_id": "36266138"}, {"ref": "kasperlindmark/good-night-mr-prophet", "kernel_id": "36483329"}, {"ref": "kasperlindmark/goodnight-mr-xgb", "kernel_id": "36740367"}, {"ref": "eahova/predictions-by-hour-3rd-place-result", "kernel_id": "37922080"}, {"ref": "macarrony00/4th-place-tsfresh-boruta-and-catboost", "kernel_id": "37413075"}, {"ref": "akmalmir/5th-place-solution", "kernel_id": "37360901"}, {"ref": "gb4gb4/pog4-minute-dv-dp-ash-beb", "kernel_id": "37960594"}, {"ref": "gb4gb4/pog4-xgb-rep", "kernel_id": "37929362"}, {"ref": "kelvinfoo123/predict-sleep-pattern-prophet-arima", "kernel_id": "37055838"}, {"ref": "ahmedkandeil/from-zzz-s-to-xgboost", "kernel_id": "37413045"}, {"ref": "hakhali99/sleepy-peepy", "kernel_id": "37854344"}, {"ref": "rony000013/sleep-smart-predicting-sleep-with-ml", "kernel_id": "37809040"}, {"ref": "eahova/rr-only-20-lines-would-be-6th-place", "kernel_id": "38025007"}, {"ref": "lunaticsain/sleep-prediction-with-pytorch", "kernel_id": "38055206"}, {"ref": "brayangarzonmoreno/my-aproach", "kernel_id": "38101367"}]}
{"competition_id": "49997", "kernels": [{"ref": "digvijayyadav/3d-printing-detection", "kernel_id": "36443504"}, {"ref": "zeeskylaw/early-detection-of-3d-printing-defects", "kernel_id": "119783462"}]}
{"competition_id": "50004", "kernels": [{"ref": "barbagrande007/happiness-index", "kernel_id": "36608486"}]}
{"competition_id": "50018", "kernels": []}
{"competition_id": "50020", "kernels": [{"ref": "brysonje/basic-several-regression-models", "kernel_id": "36584502"}, {"ref": "tayfungrlevik/diamond-price-prediction-pytorch-v3", "kernel_id": "36578923"}, {"ref": "rupeshmahanty/diamonds", "kernel_id": "36449576"}, {"ref": "aman7kumar/diamond", "kernel_id": "36465567"}, {"ref": "oldjerry/fusion-regress", "kernel_id": "36591023"}, {"ref": "vihangpagare334/learn-to-use-tabm", "kernel_id": "76124196"}]}
{"competition_id": "50028", "kernels": []}
{"competition_id": "50090", "kernels": []}
{"competition_id": "50111", "kernels": [{"ref": "hemakarapu/eeg-gait-decoding-challenge", "kernel_id": "39511464"}]}
{"competition_id": "50122", "kernels": [{"ref": "lucasmorin/sapp-eda-baseline", "kernel_id": "36433730"}, {"ref": "kasperlindmark/wolf-of-kagglestreet", "kernel_id": "36381443"}, {"ref": "pradeepsapparapu/stock-arbitrage-profitability", "kernel_id": "37034175"}]}
{"competition_id": "50160", "kernels": [{"ref": "arigion/styling-dataframes-with-css", "kernel_id": "50760416"}, {"ref": "jsmithperera/hc-2024-variation", "kernel_id": "50618599"}, {"ref": "churkinnikita/pandas-vs-polars", "kernel_id": "50893695"}, {"ref": "gvyshnya/hcr-stability-eda-static-0-data", "kernel_id": "50705612"}, {"ref": "kingychiu/dropping-deprecated-features", "kernel_id": "50917767"}, {"ref": "skrrydg/homecreditinput", "kernel_id": "50686032"}, {"ref": "neibyr/visualise-metric-problem", "kernel_id": "50824523"}, {"ref": "shams1/dataset", "kernel_id": "50817335"}, {"ref": "jenishah/getting-started-with-home-credit-2024", "kernel_id": "50853948"}, {"ref": "liamhealy/lightgbm-hyperparameter-tuning", "kernel_id": "50739178"}, {"ref": "liamhealy/home-credit-eda-template-lgbm-0-53", "kernel_id": "50791072"}, {"ref": "liamhealy/lightgbm-feature-importance-all-datasets", "kernel_id": "50700489"}, {"ref": "liamhealy/data-quality-explotation", "kernel_id": "50663632"}, {"ref": "docxian/home-credit-risk-model-stability-first-glance", "kernel_id": "50516733"}, {"ref": "yashendujoshi/beginner-s-approach-slow-burn-base-eda", "kernel_id": "50583986"}, {"ref": "zakirkhanaleemi/home-credit-default-risk-prediction-xgboost-model", "kernel_id": "50584039"}, {"ref": "darynarr/home-credit-drop-date-features", "kernel_id": "50604319"}, {"ref": "darynarr/scikit-learn-1-4-0", "kernel_id": "50559701"}, {"ref": "mnkchhibber/efficient-data-read-only-pandas-lgbm-xgbm", "kernel_id": "50558180"}, {"ref": "mnkchhibber/home-credit-eda-script-efficient-pandas", "kernel_id": "50825010"}, {"ref": "simranjeetsingh1430/optbinning-homecredit-winnermodel", "kernel_id": "50889110"}, {"ref": "simranjeetsingh1430/efficient-lgbm-model-pandas", "kernel_id": "50804279"}, {"ref": "kononenko/home-credit-faster-data-loading", "kernel_id": "50636699"}, {"ref": "kononenko/metric-trick-home-credit-baseline-inference", "kernel_id": "50774372"}, {"ref": "tsuno0821/eda-home-credit-credit-risk", "kernel_id": "50695596"}, {"ref": "batprem/home-credit-risk-mode-utility-scripts", "kernel_id": "50639607"}, {"ref": "batprem/home-credit-baseline", "kernel_id": "50657148"}, {"ref": "batprem/homecredit-notebook", "kernel_id": "50627862"}, {"ref": "batprem/lgb-xgb-cat-ensemble-baseline", "kernel_id": "50613148"}, {"ref": "batprem/home-credit-baseline-inference", "kernel_id": "50731867"}, {"ref": "batprem/home-credit-automl-inference", "kernel_id": "50731890"}, {"ref": "imeintanis/home-credit-2024-eda-missing-values", "kernel_id": "50788444"}, {"ref": "stpeteishii/home-credit-data-view", "kernel_id": "50585541"}, {"ref": "shaileshshettyd/home-credit-2024", "kernel_id": "50960338"}, {"ref": "mpwolke/creditworthiness-smart-lending-decisions", "kernel_id": "50523357"}, {"ref": "kitsuha/lgb-ensemble-baseline", "kernel_id": "50893528"}, {"ref": "pandaman817/japanese-translation", "kernel_id": "50677754"}, {"ref": "pollicio/home-credit-automl-inference-update", "kernel_id": "50787840"}, {"ref": "jetakow/home-credit-2024-starter-notebook", "kernel_id": "50151372"}, {"ref": "bartvanwoesik/firstnb", "kernel_id": "50988457"}, {"ref": "julien94/table-static-analysis-eda", "kernel_id": "50912393"}, {"ref": "benjenkins96/deep-learning-techniques-for-credit-risk-stability", "kernel_id": "50752997"}, {"ref": "benjenkins96/home-credit-starter-eda-and-submission", "kernel_id": "50623740"}, {"ref": "kenjikonno/home-credit-visualize-features-and-defaults", "kernel_id": "50632446"}, {"ref": "greysky/home-credit-baseline", "kernel_id": "50550454"}, {"ref": "greysky/feature-clustering-with-description-embedding", "kernel_id": "50705113"}, {"ref": "aniruddhapa/loan-default-prediction-model", "kernel_id": "50647617"}, {"ref": "manuelandersen/home-credit-eda-depth-0", "kernel_id": "50987781"}, {"ref": "beckpro/depth-0-complete-eda-with-nice-descriptions", "kernel_id": "50557445"}, {"ref": "fernandosr85/credit-risk-analysis", "kernel_id": "50613387"}, {"ref": "jirkaborovec/credit-risk-eda-xgboost-depth-0-gpu", "kernel_id": "50525324"}, {"ref": "jirkaborovec/credit-risk-lgbm-optuna-hyper-params", "kernel_id": "50602734"}, {"ref": "shubhamcodez/home-credit-2024-xgb", "kernel_id": "50532731"}, {"ref": "umachavali/home-credit-2024-starter-notebook-4fc28e", "kernel_id": "50919103"}, {"ref": "thomasmeiner/home-credit-bluecast-single-model", "kernel_id": "50605165"}, {"ref": "thomasmeiner/home-credit-eda-feature-engineering-modelling", "kernel_id": "50520033"}, {"ref": "sudisen/home-credit-2024-eda-and-data-read", "kernel_id": "50753267"}, {"ref": "isakatsuyoshi/catboost-a-preliminary-baseline-model", "kernel_id": "50528519"}, {"ref": "kam1114/credit-defaulter-prediction-model", "kernel_id": "50630093"}, {"ref": "vladislavkolesov/read-data-in-chunks-to-save-ram-home-credit", "kernel_id": "50730593"}, {"ref": "vladislavkolesov/home-credit-automl-training-with-more-features", "kernel_id": "50730631"}, {"ref": "adityashukla1/home-credit-risk-xgboost", "kernel_id": "50614760"}, {"ref": "masahikofujita/home-credit-risk-mode-param-chenge", "kernel_id": "50923370"}, {"ref": "takumimukaiyama/lgbclassifier-baseline-split10-lb-501", "kernel_id": "50623079"}, {"ref": "takumimukaiyama/adaboost-baseline", "kernel_id": "50646874"}, {"ref": "takumimukaiyama/ensemble-lgbm-ada-baseline", "kernel_id": "50683452"}, {"ref": "timothystewartden/default-on-issued-loan-tim-stewart", "kernel_id": "50665394"}, {"ref": "sergiosaharovskiy/home-credit-crms-2024-eda-and-submission", "kernel_id": "50530847"}, {"ref": "lyuxinshuai/home-credit-eda-distributions-can-search", "kernel_id": "50877943"}, {"ref": "peizhengwang/lgb-xgb-cat-ensemble-baseline", "kernel_id": "50555234"}, {"ref": "peizhengwang/simple-neural-network-starter-with-few-features", "kernel_id": "50555412"}, {"ref": "peizhengwang/lb-0-57-mod-weight-pure-lgb", "kernel_id": "50624757"}, {"ref": "peizhengwang/catboost-starter-notebook-with-depth-0-tables", "kernel_id": "50579336"}, {"ref": "peizhengwang/0-495-lb-deep-neural-network-starter", "kernel_id": "50769676"}, {"ref": "thebendu/home-credit-credit-risk-model-stability", "kernel_id": "50579151"}, {"ref": "prashrex/main-ml", "kernel_id": "50814625"}, {"ref": "nguyenosaurus/home-credit-lightautoml", "kernel_id": "50894849"}, {"ref": "maverickss26/lb-0-572-home-credit-risk", "kernel_id": "50751496"}, {"ref": "younaniskander/first-steps", "kernel_id": "50786573"}, {"ref": "motono0223/home-credit-automl-training", "kernel_id": "50718724"}, {"ref": "motono0223/home-credit-automl-inference", "kernel_id": "50723779"}, {"ref": "ravi20076/homecredit-starter-inference-v1", "kernel_id": "50734341"}, {"ref": "ravi20076/homecredit-starter-training-v1", "kernel_id": "50724210"}, {"ref": "estherpdnavercom/credit-risk-stable-preview", "kernel_id": "50556119"}, {"ref": "hyeyoonjeong/home-credit-2024-starter-notebook-yoon", "kernel_id": "50844161"}, {"ref": "stechparme/home-credit-baseline-max-min-features", "kernel_id": "50677088"}, {"ref": "xujunhao123/home-credit-2024-starter-notebook", "kernel_id": "50517180"}, {"ref": "analyticity/home-credit-2024-starter-notebook-applprev1", "kernel_id": "50842592"}, {"ref": "akhiljethwa/homecredit-basic-data-exploration", "kernel_id": "50534197"}, {"ref": "priyankasanjaylad/home-credit-credit-risk-model-stability", "kernel_id": "50588580"}, {"ref": "endofnight17j03/credit-risk-xgboost-lgbm", "kernel_id": "50578172"}, {"ref": "yunsuxiaozi/home-credit-baseline-after-break", "kernel_id": "50530459"}, {"ref": "yunsuxiaozi/solution-of-threw-exception", "kernel_id": "50819402"}, {"ref": "yunsuxiaozi/home-credit-baseline", "kernel_id": "50776119"}, {"ref": "yunsuxiaozi/home-credit-useful-eda", "kernel_id": "50891563"}, {"ref": "yunsuxiaozi/home-credit-lightautoml", "kernel_id": "50894005"}, {"ref": "yunsuxiaozi/home-credit-fusion-models", "kernel_id": "50900045"}, {"ref": "gyogyocat/a-beginner-s-quick-eda-in-r", "kernel_id": "50629524"}, {"ref": "arzhanandrey/arzhantsev-andrey", "kernel_id": "50899282"}, {"ref": "sandiledesmondmfazi/home-credit-2024-starter-notebook", "kernel_id": "50752083"}, {"ref": "victorchawsukho/home-credit-2024-baseline-example", "kernel_id": "50627628"}, {"ref": "sinzse/home-credit-2024-default-prediction", "kernel_id": "50580987"}, {"ref": "andreynesterov/fork-of-home-credit-baseline-training-no-dates", "kernel_id": "50979742"}, {"ref": "andreynesterov/home-credit-baseline-training-lightautoml", "kernel_id": "50733644"}, {"ref": "andreynesterov/home-credit-baseline-inference", "kernel_id": "50710903"}, {"ref": "andreynesterov/home-credit-baseline-training-no-dates", "kernel_id": "50722023"}, {"ref": "andreynesterov/home-credit-baseline-data", "kernel_id": "50696494"}, {"ref": "andreynesterov/home-credit-baseline-training", "kernel_id": "50704555"}, {"ref": "jefersonpazze/eda-baseline-home-credit-credit-risk-model", "kernel_id": "50602064"}, {"ref": "vinodkumargurjar/credit-risk-model-stability-vk", "kernel_id": "50550962"}, {"ref": "eonseonpark/start-with-home-credit-2024-starter-notebook", "kernel_id": "50965557"}, {"ref": "erikfolkesson/home-credit-dask-lgbm", "kernel_id": "50894764"}, {"ref": "majin1no1shokutaku/majin-max", "kernel_id": "50774839"}, {"ref": "kkamal2003/home-credit-credit-risk-model-stability", "kernel_id": "50547565"}, {"ref": "khushwantsanwalot/home-credit", "kernel_id": "50874864"}, {"ref": "jamesgreenwood/home-credit-2024-djg", "kernel_id": "50576577"}, {"ref": "jamesgreenwood/home-credit-2024-version-2", "kernel_id": "50699989"}, {"ref": "imtommi/home-credit-features-starter", "kernel_id": "50632179"}, {"ref": "yassinebenzekri/scikit-learn-1-4-0", "kernel_id": "50677695"}, {"ref": "yassinebenzekri/home-credit-risk-mode", "kernel_id": "50664589"}, {"ref": "ragul1010101/home-credit-credit-risk-model", "kernel_id": "50530638"}, {"ref": "ayushkhaire/home-credit-analytics", "kernel_id": "50771297"}, {"ref": "chhavideora11/home-credit-2024-starter-notebook", "kernel_id": "50811525"}, {"ref": "taichiuemura/home-credit-eda", "kernel_id": "50681614"}, {"ref": "taichiuemura/home-credit-first-look", "kernel_id": "50679070"}, {"ref": "taichiuemura/home-credit-lightgbm-132-features", "kernel_id": "50926855"}, {"ref": "taichiuemura/home-credit-starter", "kernel_id": "50848888"}, {"ref": "taichiuemura/home-credit-inconsistent-schemas", "kernel_id": "50964739"}, {"ref": "andrewbremner/credit-risk-model-stability", "kernel_id": "50908475"}, {"ref": "tanishqdublish/home-credit-starter", "kernel_id": "50687510"}, {"ref": "tanishqdublish/metric-trick-home-credit-baseline-inference", "kernel_id": "50942850"}, {"ref": "samithanawarathna/lgbm-baseline-hyperparameter-tuning-depth-0", "kernel_id": "50589684"}, {"ref": "mohamedbedhiafi1/home-credit-baseline", "kernel_id": "50754960"}, {"ref": "eshasabir17gmailcom/home-credit-credit-risk-model-esha-sabir", "kernel_id": "50631607"}, {"ref": "dipansujoshi/example-notebook-for-home-credit-prediction", "kernel_id": "50725766"}, {"ref": "yujansaya/credit-risk-stability", "kernel_id": "50701904"}, {"ref": "princempwiniza/loans-cc", "kernel_id": "50605078"}, {"ref": "basantasharma/notebook9a70082340", "kernel_id": "50579484"}, {"ref": "seanward034/credit-risk-model", "kernel_id": "50662165"}, {"ref": "carloshuertas/homecreditmetrictest", "kernel_id": "51249101"}, {"ref": "usharengaraju/keras3-tabtransformer", "kernel_id": "51662216"}, {"ref": "usharengaraju/keras3-neuraldecisionforests", "kernel_id": "51989128"}, {"ref": "uzdavinys/diff-between-pit-and-ttc-credit-scoring-models", "kernel_id": "51986800"}, {"ref": "sungjun/home-credit-2024-starter-notebook", "kernel_id": "51571085"}, {"ref": "dkraynak/fork-of-homecreditmetrictest-in-r", "kernel_id": "51547184"}, {"ref": "dkraynak/hcg-test-dummy-submission", "kernel_id": "51141373"}, {"ref": "algeryang/homecredit-eda-fe-depth1-applprev-1", "kernel_id": "51770301"}, {"ref": "algeryang/homecredit-eda-fe-depth1-deposit-1", "kernel_id": "51928190"}, {"ref": "quangtiencs/duckdb-for-feature-engineering-home-credit-2024", "kernel_id": "51026123"}, {"ref": "pib73nl/home-credit-2024-eda-part-i", "kernel_id": "51454043"}, {"ref": "kurupical/testcase-of-new-metric-for-business-contexts", "kernel_id": "51507569"}, {"ref": "liamhealy/shapley-values-in-python", "kernel_id": "51522853"}, {"ref": "metalmulisha205/home-credit-2024-ma477", "kernel_id": "51827812"}, {"ref": "aishutin/home-credit-2024-starter-notebook", "kernel_id": "51214378"}, {"ref": "simranjeetsingh1430/homecredit-winnermodel-v3", "kernel_id": "51160986"}, {"ref": "koushikcon/home-credit-2024-my-work", "kernel_id": "51103267"}, {"ref": "syerramilli/home-credit-baseline-polars-lightgbm", "kernel_id": "51062688"}, {"ref": "kitsuha/lgb-xgb-baseline", "kernel_id": "51058666"}, {"ref": "hall4jm/feature-file-locations-table", "kernel_id": "51086929"}, {"ref": "makuiky/home-credit-first-attempt", "kernel_id": "51220733"}, {"ref": "nvnikhil0001/home-credit-2024-starter-notebook", "kernel_id": "51910449"}, {"ref": "hideyukizushi/exp0217-home-credit-baseline", "kernel_id": "51023411"}, {"ref": "hideyukizushi/exp0217-lgb-xgb-cat-ensemble-baseline", "kernel_id": "51023450"}, {"ref": "hideyukizushi/home-aftersubmissionsopen-3-11-2024-lb-567", "kernel_id": "51023490"}, {"ref": "rohitdileep/lightgbm-classifier", "kernel_id": "51634013"}, {"ref": "anshulsavla/gi-team", "kernel_id": "51016459"}, {"ref": "naotokai/gini-stability-slide-window", "kernel_id": "51434105"}, {"ref": "naotokai/metic-experiments", "kernel_id": "51422385"}, {"ref": "syedjaffri/home-credit-2024-starter-notebook", "kernel_id": "51575134"}, {"ref": "justinmustaine/pyspark-offline", "kernel_id": "51543452"}, {"ref": "suranjandas1990/making-sense-of-the-data", "kernel_id": "51810576"}, {"ref": "nikolaykossa/credit-risk-eda-xgboost-depth-0-gpu", "kernel_id": "51136954"}, {"ref": "skylightsufa/cat-lgb", "kernel_id": "51100948"}, {"ref": "vladislavkolesov/homecredit-automl-more-feats-565-lb-after-reopen", "kernel_id": "51130618"}, {"ref": "takumimukaiyama/how-to-use-create-utility-scripts", "kernel_id": "51112179"}, {"ref": "haneumlee/haneum-notebook", "kernel_id": "51461402"}, {"ref": "falconnn/snigirev-egor-home-credit", "kernel_id": "51534703"}, {"ref": "soranoki/home-model1-model2changesplit10-lb-621", "kernel_id": "51516470"}, {"ref": "ddooyeong/feature-select-shap", "kernel_id": "51246407"}, {"ref": "bhavikjikadara/stability-of-home-credit-risk", "kernel_id": "51503572"}, {"ref": "levmironov/home-credit", "kernel_id": "51173309"}, {"ref": "younaniskander/home-credit-xgboost-lightgbm-model", "kernel_id": "51186055"}, {"ref": "vrishabhgupta/notebookc2fd2947e9", "kernel_id": "51050531"}, {"ref": "sunghoshim/polars-basic", "kernel_id": "51698092"}, {"ref": "suehuynh/home-credit-2024-submisssion", "kernel_id": "51474057"}, {"ref": "explorerqueen/credit-risk-model-final-94", "kernel_id": "51890230"}, {"ref": "cwhybe/team9-baseline-v4", "kernel_id": "51397216"}, {"ref": "cwhybe/eda-for-static-0-cols-end-with-a-d-p", "kernel_id": "51247425"}, {"ref": "riddhidhameliya/random-under-sample", "kernel_id": "51693054"}, {"ref": "shivanshkumar752/homecreditbaseline-shivansh", "kernel_id": "51486940"}, {"ref": "zgrts46/home-credit-2024-starter-notebook", "kernel_id": "51217473"}, {"ref": "isurudassanayake98/isuru-home-credit-loan", "kernel_id": "51124371"}, {"ref": "hongjaemin/team9-baseline-v1", "kernel_id": "51180165"}, {"ref": "namnguyen192/home-credit-version-1", "kernel_id": "51295422"}, {"ref": "analyticity/team9-baseline-v1", "kernel_id": "51200707"}, {"ref": "analyticity/team9-baseline-v5", "kernel_id": "51412710"}, {"ref": "n0n1ck/home-credit-2024-starter-notebook", "kernel_id": "51236249"}, {"ref": "ying081/2024-2-22credit", "kernel_id": "51268158"}, {"ref": "cristhianccalah/home-credit-credit-risk-model-stability-tf", "kernel_id": "51014430"}, {"ref": "vsxvmk1/home-credit-2024", "kernel_id": "51971130"}, {"ref": "sumiokuhibiki/hibichy-home-credit-2024", "kernel_id": "51039651"}, {"ref": "kevinw7/kw-home-credit-eda", "kernel_id": "51660102"}, {"ref": "kevinw7/kw-home-credit-data-3", "kernel_id": "51386076"}, {"ref": "kevinw7/kw-home-credit-data-1", "kernel_id": "51131742"}, {"ref": "kevinw7/kw-home-credit-data-2", "kernel_id": "51192981"}, {"ref": "wasjaip/lgb-xgb-cat1111", "kernel_id": "51407910"}, {"ref": "wasjaip/lgb-xgb-cat", "kernel_id": "51023950"}, {"ref": "wasjaip/homecredit-notebook-2", "kernel_id": "51023425"}, {"ref": "iosaman/home-credit-aman", "kernel_id": "51077843"}, {"ref": "mkaustin/notebookbf599da625", "kernel_id": "51100921"}, {"ref": "yuehengzeng/automl-with-autogluon-home-credit", "kernel_id": "51197968"}, {"ref": "silinr8/credit-risk-model-stability", "kernel_id": "51054842"}, {"ref": "dbtmddn41/home-credit-baseline", "kernel_id": "51879794"}, {"ref": "startrekr/home-credit-notebook", "kernel_id": "51914086"}, {"ref": "lovishbansal123/home-credit-risk-management", "kernel_id": "51066850"}, {"ref": "faeqsu10/hc-deposit-1", "kernel_id": "51973603"}, {"ref": "adlrmdn/credit-risk-model-stability", "kernel_id": "51830637"}, {"ref": "eliocordeiropereira/the-starter-notebook-thoroughly-explained", "kernel_id": "51133505"}, {"ref": "eliocordeiropereira/home-credit-2024-lightgbm-gridsearchcv-and-shap", "kernel_id": "51932636"}, {"ref": "meloncc/notebook", "kernel_id": "51921654"}, {"ref": "kisarina/baseline", "kernel_id": "51103635"}, {"ref": "ondi1989/ondi1989-credit-comp", "kernel_id": "51085686"}, {"ref": "wuzhaofeng/home-credit-lgb-xgb-tune", "kernel_id": "51620554"}, {"ref": "rupindersinghrana/credit-risk-model-stability", "kernel_id": "51079190"}, {"ref": "tharakad/initial-view-of-the-data", "kernel_id": "51176791"}, {"ref": "achen141/notebookcba12c629f", "kernel_id": "51585676"}, {"ref": "ismahiltchagbele/notebookb7b1e5309e", "kernel_id": "51545672"}, {"ref": "tarunbawa567865/tarun-eda", "kernel_id": "51219212"}, {"ref": "hevansindicium/home-credit-baseline", "kernel_id": "51989078"}, {"ref": "soulmate0317/begin-eda-for-home-credit-model-2024", "kernel_id": "52267242"}, {"ref": "narsil/knai-2024-03-11", "kernel_id": "52438577"}, {"ref": "romandovega/parquets-bigquery-tableau", "kernel_id": "52124951"}, {"ref": "finlay/home-credit-01-intro", "kernel_id": "52425608"}, {"ref": "finlay/home-credit-02-lightgbm", "kernel_id": "52426172"}, {"ref": "skrrydg/homecreditmodelpredict", "kernel_id": "52444702"}, {"ref": "maheshak04/explore-file-train-applprev-1-0", "kernel_id": "52765958"}, {"ref": "pib73nl/home-credit-2024-eda-part-ii", "kernel_id": "52086463"}, {"ref": "senchopens/home-credit-2024-starter-notebook", "kernel_id": "52862656"}, {"ref": "rishabh15virgo/home-credit-data-understanding-baseline", "kernel_id": "52156085"}, {"ref": "kavabonga/lgbclassifier-baseline", "kernel_id": "52722201"}, {"ref": "utm529fg/home-credit-train-97944-sample", "kernel_id": "52328300"}, {"ref": "hidetaketakahashi/homecredit-featurescreening", "kernel_id": "52823044"}, {"ref": "yummy1337/hse-cdm-task2", "kernel_id": "52847579"}, {"ref": "unconscious/sasha-ievleva-hse-cdm", "kernel_id": "52843194"}, {"ref": "jaloeffe92/homecredit-optimizing", "kernel_id": "52119114"}, {"ref": "gromml/log-loss", "kernel_id": "52872212"}, {"ref": "mikev77/home-credit-catboost-gpu", "kernel_id": "52780767"}, {"ref": "trickmanoff/credit-risk-analysis-submit-2", "kernel_id": "52838654"}, {"ref": "trickmanoff/credit-risk-analysis-submit", "kernel_id": "52806380"}, {"ref": "binderiyaadishaa/hc-inference", "kernel_id": "52492518"}, {"ref": "binderiyaadishaa/create-folds", "kernel_id": "52569036"}, {"ref": "binderiyaadishaa/home-credit-intro", "kernel_id": "52582171"}, {"ref": "binderiyaadishaa/hc-starter-adoption", "kernel_id": "52404974"}, {"ref": "alexanderfleyshman/home-credit-fleyshman", "kernel_id": "52851546"}, {"ref": "greysky/home-credit-deepchecks", "kernel_id": "52702722"}, {"ref": "remgalleu/home-credit-baseline-data", "kernel_id": "52915500"}, {"ref": "dksdms4/lb-0-565-improved-baseline-notebook", "kernel_id": "52638291"}, {"ref": "zhenxingyan/credit-feature", "kernel_id": "52089785"}, {"ref": "delanaryfr/rybochkin-fedor", "kernel_id": "52868196"}, {"ref": "daviddirethucus/home-credit-risk-eda", "kernel_id": "52459992"}, {"ref": "daviddirethucus/home-credit-risk-lightgbm", "kernel_id": "52815156"}, {"ref": "levrybakov/notebookc64c066832", "kernel_id": "52951689"}, {"ref": "bunny11/credit-risk-model-stability-by-gurpreetsingh", "kernel_id": "52490678"}, {"ref": "egorsysoev/egor-sysoev-cdm", "kernel_id": "52805173"}, {"ref": "eslamfouad/this-is-not-actual-data-science-course-50", "kernel_id": "52863574"}, {"ref": "georgewang158/project2", "kernel_id": "52920571"}, {"ref": "popashka/home-credit", "kernel_id": "52781609"}, {"ref": "ddooyeong/group-0-null-data", "kernel_id": "52198352"}, {"ref": "diordan/opt-features", "kernel_id": "52853605"}, {"ref": "diordan/home-credit", "kernel_id": "52796061"}, {"ref": "alancodeuni/credit-risk-lgm-2024-alan", "kernel_id": "52966775"}, {"ref": "pivonapolu/notebook196d87cc83", "kernel_id": "52872259"}, {"ref": "markizzz/creditrisk-model", "kernel_id": "52585442"}, {"ref": "levmironov/rework-home-credit-2024-starter-notebook", "kernel_id": "52867643"}, {"ref": "emiliaiskhakova/iskhakova-emilia-hse-cdm", "kernel_id": "52853217"}, {"ref": "dmitriitikhanovsky/home-aftersubmissionsopen-3-11-2024-lb-567", "kernel_id": "52720362"}, {"ref": "hongjinuk/credit-risk-eda-xgboost-depth-0-gpu", "kernel_id": "52036487"}, {"ref": "mariammarchenko/home-credit-2024-starter-notebook", "kernel_id": "52849721"}, {"ref": "hipokratus/notebook72685a7199", "kernel_id": "52870424"}, {"ref": "kunilkim/pytorch-tabtransformer-fttransformer", "kernel_id": "52140403"}, {"ref": "yowamishi/home-credit-2024-starter-notebook", "kernel_id": "52763674"}, {"ref": "artemiyastashkin/astashkin-artemiy-hse-cdm", "kernel_id": "52448284"}, {"ref": "sunghoshim/home-credit-table-reference-depth", "kernel_id": "52680187"}, {"ref": "brantcoral/notebook-1", "kernel_id": "52960794"}, {"ref": "brantcoral/home-credit-2024-starter-notebook-2", "kernel_id": "52964470"}, {"ref": "brantcoral/notebook-2", "kernel_id": "52962137"}, {"ref": "brantcoral/home-credit-2024-starter-notebook-v1", "kernel_id": "52953717"}, {"ref": "brantcoral/notebook38ff95a8cb", "kernel_id": "52957482"}, {"ref": "sergeysedov/home-credit-sedov", "kernel_id": "52740317"}, {"ref": "marcberghouse/home-credit-baseline-data", "kernel_id": "52904326"}, {"ref": "ravikumarchavva/homecredit", "kernel_id": "52731154"}, {"ref": "toobrainless/credit", "kernel_id": "52808679"}, {"ref": "toobrainless/credit-full-notebook", "kernel_id": "52872548"}, {"ref": "voodoodool/artem-borisov-hse-cdm", "kernel_id": "52862193"}, {"ref": "matveyryumin/matvey-ryumin-hse-dsba-home-credit", "kernel_id": "52830143"}, {"ref": "qasaqpanda2836/home-credit-kamila-dmitrichenko", "kernel_id": "52868901"}, {"ref": "fonarevaksenia/home-credit-2024-ksenia-fonareva", "kernel_id": "52867561"}, {"ref": "anelyakurakinaa/anelya-kurakina-hse-cdm", "kernel_id": "52851529"}, {"ref": "shalamovaanna/hw2-shalamova", "kernel_id": "52838579"}, {"ref": "timur07kambachekov/kambachekov-timur-hse-dsba", "kernel_id": "52866266"}, {"ref": "georgepistsov/credit-risk-hw2-pistsov-georgii", "kernel_id": "52666968"}, {"ref": "iudmitriev/homecredit2024notebook", "kernel_id": "52832847"}, {"ref": "artembabak/artem-babak-hse-cdm", "kernel_id": "52849921"}, {"ref": "elizavetakochergina/home-credit-2024", "kernel_id": "52521051"}, {"ref": "tirlimster/home-credit-2024", "kernel_id": "52777959"}, {"ref": "kilka74/credit-risk-eda-xgboost-depth-1-gpu", "kernel_id": "52707350"}, {"ref": "mikhailchaychuk/chaychuk-mikhail-hse-home-credit", "kernel_id": "52776938"}, {"ref": "artembekyan/home-credit-2024-hse-cdm", "kernel_id": "52576503"}, {"ref": "alexeydanilyuk/home-credit-2024-starter-notebook", "kernel_id": "52940733"}, {"ref": "krutoster/comp-data-analyse2", "kernel_id": "52641458"}, {"ref": "pshikk/lgbm-hyperopt", "kernel_id": "52396898"}, {"ref": "dxtvzw/dxtvzw-home-credit-risk", "kernel_id": "52807761"}, {"ref": "mihken/savchenko-mikhail-hse", "kernel_id": "52766755"}, {"ref": "amirkamalov/home-credit-data-understanding-baseline", "kernel_id": "52851459"}, {"ref": "integralex/hc2024work", "kernel_id": "52866751"}, {"ref": "aaandruschenko/home-credit-hw", "kernel_id": "52798421"}, {"ref": "cj1234567890/homecredit-static-cb", "kernel_id": "52347722"}, {"ref": "yunsuxiaozi/home-credit-analysis-and-insights-into-data", "kernel_id": "52472092"}, {"ref": "yunsuxiaozi/home-credit-linearregression-is-all-you-need", "kernel_id": "52688776"}, {"ref": "yunsuxiaozi/home-credit-inconsistent-data-types", "kernel_id": "52650816"}, {"ref": "kevinw7/kw-home-credit-lrmodel1", "kernel_id": "52054337"}, {"ref": "kevinw7/kw-home-credit-test-data-1", "kernel_id": "52861012"}, {"ref": "wasjaip/home-credit-baseline-data-v12", "kernel_id": "52770702"}, {"ref": "carlosandrescgm208/home-credit-2024-starter-notebook-6fdd43", "kernel_id": "52603675"}, {"ref": "andreynesterov/home-credit-tabtransformer-keras", "kernel_id": "52841611"}, {"ref": "dbtmddn41/feature-analyze", "kernel_id": "52167648"}, {"ref": "moaimonument/my-notebook", "kernel_id": "52943216"}, {"ref": "faeqsu10/hc-applprev-1", "kernel_id": "52283940"}, {"ref": "faeqsu10/hc-debitcard1", "kernel_id": "52266544"}, {"ref": "zpccccc/p7-b-1-lb-0-57-mod-weight-pure-lgb", "kernel_id": "52087633"}, {"ref": "cheesegue/homecredit2024-eda", "kernel_id": "52776353"}, {"ref": "seoyunje/home-credit-feature-group", "kernel_id": "52696006"}, {"ref": "samsay23/home-credit-notebook-0-567", "kernel_id": "52706713"}, {"ref": "shahik15/xgb-home-credit", "kernel_id": "52254115"}, {"ref": "alicekuo02/notebook", "kernel_id": "52073294"}, {"ref": "varuniraothumsi/homecreditutils", "kernel_id": "52960280"}, {"ref": "adrian2305/home-credit-risk-notebook", "kernel_id": "52112251"}, {"ref": "ondi1989/andrea-final-submission-home-credit-comp", "kernel_id": "52878886"}, {"ref": "zopkss/chirin-sergey-hse-cdm", "kernel_id": "52798870"}, {"ref": "chanikant/drop-column", "kernel_id": "52426730"}, {"ref": "letongzhou/model", "kernel_id": "52916004"}, {"ref": "taocai10/credit-risk-model-stability-raw", "kernel_id": "52071427"}, {"ref": "xiangfansone/ai-project-home-credit", "kernel_id": "52894554"}, {"ref": "adamesh/random-forest-model", "kernel_id": "52460378"}, {"ref": "uom248332x/data-view-part-0-0", "kernel_id": "52928659"}, {"ref": "estudianteml/trabajo-final-home-credit-credit-risk-m-bpa", "kernel_id": "52954471"}, {"ref": "usuarioml001/dmc-rtch", "kernel_id": "52970846"}, {"ref": "usuarioml/home-credit-2024-starter-notebook", "kernel_id": "52800699"}, {"ref": "mluser01/trabajo-final-machine-learning-cdelacruz", "kernel_id": "52966904"}, {"ref": "notoriousconor/home-credit-hse-hw2", "kernel_id": "52868313"}, {"ref": "lahlah221ww22/script-src-https-lazyxploit-bxss-in-script", "kernel_id": "52996712"}, {"ref": "uzdavinys/homecredit-population-stability-index", "kernel_id": "53279606"}, {"ref": "soulmate0317/credit-risk-base-line-model", "kernel_id": "53039918"}, {"ref": "rickpack/english-comments-eda-linearregression", "kernel_id": "53105611"}, {"ref": "finlay/home-credit-03-reduce-pandas-memory", "kernel_id": "53440795"}, {"ref": "diegoiglesias/home-credit-tensorflow-stability-metric-callback", "kernel_id": "53307650"}, {"ref": "serjhenrique/hc-crms-train-test-split", "kernel_id": "53756514"}, {"ref": "alitvintsev/home-credit-v2", "kernel_id": "53745848"}, {"ref": "shreyas9181/home-credit-risk-lightgbm-custom", "kernel_id": "53188783"}, {"ref": "kunduruanil/anomaly-detection-in-action", "kernel_id": "53589809"}, {"ref": "kunduruanil/credit-risk-data-understanding", "kernel_id": "53387451"}, {"ref": "kunduruanil/create-training-dataset", "kernel_id": "53813436"}, {"ref": "hidetaketakahashi/homecredit-ml-tree-test", "kernel_id": "53954608"}, {"ref": "hidetaketakahashi/homecredit-pipeline-execute", "kernel_id": "53511563"}, {"ref": "hidetaketakahashi/homecredit-filesbycategory", "kernel_id": "53508479"}, {"ref": "hidetaketakahashi/homecredit-screeningbyml", "kernel_id": "53541318"}, {"ref": "hidetaketakahashi/homecredit-regression-r", "kernel_id": "53557740"}, {"ref": "hidetaketakahashi/homecredit-pipeline-imputationplan", "kernel_id": "53345098"}, {"ref": "swalrus/hse-cda-homework-semyon-yentsov", "kernel_id": "53249880"}, {"ref": "gromml/custom-loss", "kernel_id": "53898163"}, {"ref": "gromml/features", "kernel_id": "53899984"}, {"ref": "mina99/project-home-credit", "kernel_id": "53087273"}, {"ref": "nickfecondo/credit-risk", "kernel_id": "53827092"}, {"ref": "binderiyaadishaa/hc-static-data-eda", "kernel_id": "53137751"}, {"ref": "jenshauser/eda-tax-registry-source-is-changing-over-time", "kernel_id": "53162239"}, {"ref": "anand815353/base-model-v1-inference", "kernel_id": "53672032"}, {"ref": "wangyuren/home-credit-lgbm", "kernel_id": "53955248"}, {"ref": "abhinavsinha845/abhinavs-home-credit-risk-model-stability", "kernel_id": "53616249"}, {"ref": "cimychen/homecredit-starter-inference-v1", "kernel_id": "53394104"}, {"ref": "lenferdetroud/aftersubmissionsopen-3-11-2024-lb-567", "kernel_id": "53706767"}, {"ref": "hechtjp/home-credit-catboost-optuna-gpu-baseline", "kernel_id": "53165859"}, {"ref": "giraffe85cm/home-credit", "kernel_id": "53120417"}, {"ref": "giraffe85cm/simplest-baseline-using-only-depth-0-data", "kernel_id": "53394159"}, {"ref": "sani84/start-code-pandas-lgb-no-oom", "kernel_id": "53802572"}, {"ref": "tarekyahia/home-credit-baseline", "kernel_id": "53451097"}, {"ref": "takumimukaiyama/automl-addingcountencoding", "kernel_id": "53632811"}, {"ref": "takumimukaiyama/home-credit-lgb-targetencoding", "kernel_id": "53774698"}, {"ref": "takumimukaiyama/home-credit-lgb-encoding-idea", "kernel_id": "53656815"}, {"ref": "ddooyeong/home-credit-baseline-automl", "kernel_id": "53777351"}, {"ref": "yuuniekiri/fork-of-home-credit-risk-lightgbm", "kernel_id": "53337166"}, {"ref": "ravi20076/homecredit-starter-inference-v2", "kernel_id": "53241683"}, {"ref": "rachpark/home-credit-feature-generation", "kernel_id": "53481984"}, {"ref": "ivandanslespace/home-credit", "kernel_id": "53364686"}, {"ref": "kemalazamat/kemal-azamat-hse-cdm", "kernel_id": "53016234"}, {"ref": "sunghoshim/home-credit-baseline-1-2-explained-kr", "kernel_id": "53007170"}, {"ref": "sunghoshim/home-credit-baseline-2-2-explained-kr", "kernel_id": "53636915"}, {"ref": "doannhatsang/home-credit-countencoding", "kernel_id": "53814849"}, {"ref": "sudharsang/home-credit", "kernel_id": "53198257"}, {"ref": "jimdor/home-credit-credit-risk-model-stability", "kernel_id": "53792867"}, {"ref": "riddhimanghatak/credit-risk-model", "kernel_id": "53296167"}, {"ref": "hder03/home-credit-2024-notebook", "kernel_id": "53504570"}, {"ref": "lalitendramangala/cpr-boosting-ensemble", "kernel_id": "53180536"}, {"ref": "jatinaggarwall/home-credit-risk-model", "kernel_id": "53637460"}, {"ref": "vb2573/notebook74f07ec3c1", "kernel_id": "53479313"}, {"ref": "nishidashokei/ccccccccccccccccccccccccccccccccnotebook00358dc7d2", "kernel_id": "53504660"}, {"ref": "kevinw7/kw-home-credit-submission", "kernel_id": "53309316"}, {"ref": "kevinw7/kw-home-credit-comp-with-pca", "kernel_id": "53613514"}, {"ref": "wasjaip/fork-of-home-credit-automl-inf-v1", "kernel_id": "53690597"}, {"ref": "smokeyscraper/home-credit-baseline-lb-0-568-updated", "kernel_id": "53494061"}, {"ref": "seaweedsoup/home-credit-baseline-low-memory", "kernel_id": "53247303"}, {"ref": "shadesh/credit-risk-model-with-lgbm", "kernel_id": "53563337"}, {"ref": "ypypypyp4/notebook48dcd11224", "kernel_id": "53876819"}, {"ref": "samsay23/home-credit-notebook-2-2", "kernel_id": "53039512"}, {"ref": "wenjhuang/home-credit-baseline-trainingmodel-lightautoml", "kernel_id": "53806361"}, {"ref": "jackywang199907/cds521-group-project", "kernel_id": "53450439"}, {"ref": "tafartech/risk-credit-home", "kernel_id": "53983855"}, {"ref": "mushinw/home-credit-risk-lightgbm", "kernel_id": "53599649"}, {"ref": "chanikant/train-applprev1-0-1-1-finish", "kernel_id": "53953428"}, {"ref": "zivanwan/home-credit-lgb-more-robust", "kernel_id": "53605592"}, {"ref": "zivanwan/remove-features-based-on-relevance-0-002", "kernel_id": "53377853"}, {"ref": "letongzhou/fork-of-fork-of-fork-of-fork-of-notebook209-de8a38", "kernel_id": "53158037"}, {"ref": "letongzhou/evaluation", "kernel_id": "53196546"}, {"ref": "kasunmahee/house-credit-risk-001", "kernel_id": "53170792"}, {"ref": "matteoamagliani/home-credit-lgb-model-explained", "kernel_id": "53449674"}, {"ref": "kunakornpruksakorn/ml-dads6003-fourmanutd", "kernel_id": "53776747"}, {"ref": "xiangfansone/ai-group2", "kernel_id": "53323589"}, {"ref": "uom248332x/missing-data-imputation", "kernel_id": "53045602"}, {"ref": "curiouscyborgs/home-credit-catboost-gpu", "kernel_id": "53095335"}, {"ref": "lovepop/hcc-with-fi", "kernel_id": "53315296"}, {"ref": "eivolkova/private-0-617", "kernel_id": "54963655"}, {"ref": "divya0795/kaggle-hcs-v2-catboost", "kernel_id": "54381708"}, {"ref": "bruceqdu/simple-ensemble-with-lgb-and-catboost", "kernel_id": "54494104"}, {"ref": "bruceqdu/rank-70-prviate-score", "kernel_id": "54561708"}, {"ref": "yutodennou/preprocessing-categorical-data-control", "kernel_id": "54951316"}, {"ref": "deburky/home-credit-2024-tackling-imbalance-with-xgboost", "kernel_id": "54510949"}, {"ref": "sunquanshuai/home-credit-test", "kernel_id": "54844483"}, {"ref": "thiagomantuani/home-credit-2024-duckdb-sql-introduction", "kernel_id": "54558620"}, {"ref": "cherylma99/home-credit-in-class", "kernel_id": "54864908"}, {"ref": "takumimukaiyama/homecredit-tabnetforbegginer", "kernel_id": "54506515"}, {"ref": "takumimukaiyama/lightgbm-countencoding", "kernel_id": "54195183"}, {"ref": "takumimukaiyama/embedding-string-data-using-pretrained-bert", "kernel_id": "54184116"}, {"ref": "charlster360/test-submission", "kernel_id": "54925924"}, {"ref": "ashleycoenen/home-credit-2024-mlflow-import", "kernel_id": "54819893"}, {"ref": "anirudhakuchibhotla/notebook31b4ab5dce", "kernel_id": "54018817"}, {"ref": "sakeof/hc-credit-risk-stability-summary", "kernel_id": "54251981"}, {"ref": "seka2269/home-credit-ensemble", "kernel_id": "54632179"}, {"ref": "sunghoshim/home-credit-cat-train-copy", "kernel_id": "54867641"}, {"ref": "sunghoshim/home-credit-ensemble-infer-lgb-cat-copy", "kernel_id": "54838397"}, {"ref": "sunghoshim/home-credit-lgb-train-copy", "kernel_id": "54800935"}, {"ref": "sunghoshim/home-credit-find-table-by-feature-names", "kernel_id": "54238293"}, {"ref": "declansaw/xgboosting-abalone", "kernel_id": "54723199"}, {"ref": "vedpatel1607/dsml-group-project", "kernel_id": "54159770"}, {"ref": "rayditran/home-credit", "kernel_id": "54795584"}, {"ref": "chamikajayasinghe/solution", "kernel_id": "54191418"}, {"ref": "chamikajayasinghe/the-starter-notebook-thoroughly-explained", "kernel_id": "54122271"}, {"ref": "sleepy1231/seed-3107-is-what-you-need", "kernel_id": "54497609"}, {"ref": "henrykinguk/0-587-changjiang-s-home-credit-lgb-cat", "kernel_id": "54679170"}, {"ref": "andydollin21/home-credict-predicter-2024", "kernel_id": "54713002"}, {"ref": "scapperrr/voting-public-notebook", "kernel_id": "54933037"}, {"ref": "guillerminavidiella/huevito4president", "kernel_id": "54971594"}, {"ref": "ying081/lgbm-train-base-depth0-submit", "kernel_id": "54181546"}, {"ref": "ying081/submit-home-credit-lgbm-catboost-2-5hrs-polar", "kernel_id": "54317427"}, {"ref": "kabirolawalemohammed/notebook-home-risk-4", "kernel_id": "54314688"}, {"ref": "yunsuxiaozi/home-credit-lgbm-with-677-features-training", "kernel_id": "54114882"}, {"ref": "yunsuxiaozi/home-credit-lgbm-with-677-features-inference", "kernel_id": "54116940"}, {"ref": "ratnarohith/home-credit-risk-model-using-pyspark", "kernel_id": "54070366"}, {"ref": "zijin666/zijinjdd-home-credit-2024-starter-notebook", "kernel_id": "54321119"}, {"ref": "kevinw7/kw-home-credit-lgbm-model", "kernel_id": "54214906"}, {"ref": "kingki19/i-ask-gemini-ai-to-give-me-insight-hc-cr", "kernel_id": "54104001"}, {"ref": "andreynesterov/cat-base-df-no-dates-fork-of-home-credit-training", "kernel_id": "54747231"}, {"ref": "andreynesterov/lama-cv-metric-home-credit-training", "kernel_id": "54737955"}, {"ref": "andreynesterov/cat-base-df-fork-of-home-credit-baseline-tr", "kernel_id": "54280358"}, {"ref": "andreynesterov/xgb-base-df-fork-of-home-credit-training", "kernel_id": "54511755"}, {"ref": "penpear/home-credit-lgb-cat-ensemble", "kernel_id": "54860751"}, {"ref": "sean1616/100-homecredit-submission", "kernel_id": "54583249"}, {"ref": "ngkhtrf/homecredit-features", "kernel_id": "54795550"}, {"ref": "ngkhtrf/homecredit-feature-split", "kernel_id": "54783524"}, {"ref": "tanmay43sharma/starter-notebook", "kernel_id": "54792775"}, {"ref": "borisgru/catboost-data-preprocessing", "kernel_id": "54815256"}, {"ref": "faeqsu10/lgbm-feature-importance-top10-data-analysis", "kernel_id": "54263597"}, {"ref": "faeqsu10/home-credit-change-lgb-to-cat-clean-code-23edd3", "kernel_id": "54827615"}, {"ref": "xiyan123/home-credit-2024-starter", "kernel_id": "54555512"}, {"ref": "gulnihall/home-credit-prediction-with-lgbmclassifier", "kernel_id": "54459779"}, {"ref": "lavishalakhmani/notebook2f45613ee4", "kernel_id": "54221219"}, {"ref": "harrychan123/lgb-cat-ensemble-stacking", "kernel_id": "54651327"}, {"ref": "phamhoanglenguyen/fork-of-cs116-b38b85", "kernel_id": "54928366"}, {"ref": "wenjhuang/testmodel9-lgbcatensemble", "kernel_id": "54779466"}, {"ref": "xiaoleilian/home-credit-cat-train", "kernel_id": "54785019"}, {"ref": "xiaoleilian/home-credit-lgb-train", "kernel_id": "54785602"}, {"ref": "xiaoleilian/home-credit-ensemble-infer-lgb-cat", "kernel_id": "54713229"}, {"ref": "jeffersusus/home-credit-lgb-cat-ensemble", "kernel_id": "54582619"}, {"ref": "ra1nes/hc-test5", "kernel_id": "54760296"}, {"ref": "c22guo/origin", "kernel_id": "54668193"}, {"ref": "majiaqi111/home-credit-xgboost-model", "kernel_id": "54564892"}, {"ref": "majiaqi111/home-credit-lgb-cat-ensemble", "kernel_id": "54536846"}, {"ref": "majiaqi111/home-credit-lgb-baseline-training", "kernel_id": "54612639"}, {"ref": "majiaqi111/metric-s-trick-home-credit-lgb-cat-ensemble", "kernel_id": "54611548"}, {"ref": "majiaqi111/home-credit-cat-countencoding", "kernel_id": "54602782"}, {"ref": "chanikant/final-merge", "kernel_id": "54245853"}, {"ref": "chanikant/train-deposit-1", "kernel_id": "54133365"}, {"ref": "chanikant/train-person-1-finish", "kernel_id": "54179865"}, {"ref": "zivanwan/home-credit-change-lgb-to-cat-clean-code", "kernel_id": "54178325"}, {"ref": "kasunmahee/house-credit-risk-002", "kernel_id": "54322079"}, {"ref": "hashithajayarathna/home-credit-2024-starter-notebook", "kernel_id": "54154692"}, {"ref": "chemini210363c/feature1", "kernel_id": "54132767"}, {"ref": "kasindu210063g/210063g-home-credit-credit-risk-model-stabili", "kernel_id": "54214647"}, {"ref": "sayangkondan210581r/notebooked7e2d6219", "kernel_id": "54177120"}, {"ref": "liumazeze/testmodel4cat", "kernel_id": "54317105"}, {"ref": "arthurbarrosindicium/restarted-notebook", "kernel_id": "54675634"}, {"ref": "jiawenzhong/home-credit-assignment-lightgbm", "kernel_id": "54993600"}, {"ref": "pasindu210151b/safety-net", "kernel_id": "54209568"}, {"ref": "arionlazarus/home-credit-2024-starter-notebook", "kernel_id": "54604182"}, {"ref": "makotokoike/lgb-cat", "kernel_id": "54993746"}, {"ref": "bobobillions/ensemble-notebook-556-share", "kernel_id": "54965221"}, {"ref": "user12000/notebook1e4607eeff", "kernel_id": "54980160"}, {"ref": "carloshuertas/cheatingtime", "kernel_id": "55237609"}, {"ref": "pham0030/directly-optimize-gini-stability-home-credit", "kernel_id": "55454214"}, {"ref": "kunduruanil/credit-risk-model-feature-selection", "kernel_id": "55690963"}, {"ref": "anastazija/home-credit", "kernel_id": "55485721"}, {"ref": "tabualkher/homecredit-lstmwithbalanceddata", "kernel_id": "55904373"}, {"ref": "allegich/homecredit-2024-risk-model-eda-xgboost-upd", "kernel_id": "55148097"}, {"ref": "quangkhinguynhng/homecredit-lgm-submit", "kernel_id": "55099210"}, {"ref": "aaachen/home-credit-clean-code-lightgbm", "kernel_id": "55678019"}, {"ref": "nattawutintanai/home-credit-2024-b", "kernel_id": "55091817"}, {"ref": "yuuniekiri/fork-of-home-credit-lightautoml-inference", "kernel_id": "55312659"}, {"ref": "wakudar/shuffle", "kernel_id": "55359280"}, {"ref": "nguyenosaurus/home-credit-catboost", "kernel_id": "55817476"}, {"ref": "nguyenosaurus/home-credit-lgbm", "kernel_id": "55712304"}, {"ref": "nguyenosaurus/home-credit-feature-engineering", "kernel_id": "55715982"}, {"ref": "nguyenosaurus/home-credit-xgb", "kernel_id": "55715121"}, {"ref": "nguyenosaurus/home-credit-inference", "kernel_id": "55759950"}, {"ref": "olegbaryshnikov/home-credit-train-test-split", "kernel_id": "55811649"}, {"ref": "seka2269/notebookf0f795a5f4", "kernel_id": "55121590"}, {"ref": "jayshreedhar/home-credit-2024-starter-notebook-ef6cd7", "kernel_id": "55275114"}, {"ref": "yitingzhang0118/version-4-20", "kernel_id": "55122833"}, {"ref": "yitingzhang0118/version-4-21", "kernel_id": "55174189"}, {"ref": "yitingzhang0118/backup", "kernel_id": "55940185"}, {"ref": "edenwild/final-submission", "kernel_id": "55130693"}, {"ref": "michaelsodeke/draft-ml-model-2-home-credit-scorecards", "kernel_id": "55056855"}, {"ref": "chanchal24/credit-card-fraud-detection", "kernel_id": "55581060"}, {"ref": "mohammedabdulkareem/cap5610-project-submission", "kernel_id": "55558206"}, {"ref": "ujjalnandy/pandas-2-0-vs-polar-in-home-credit-data", "kernel_id": "55764808"}, {"ref": "divyanshagg27/home-risk", "kernel_id": "55632886"}, {"ref": "divyanshagg27/notebookb6ca9e5061", "kernel_id": "55613031"}, {"ref": "weiwenbo12/home-credit-baseline", "kernel_id": "55055689"}, {"ref": "adomaslvu/homecreditcompetition-gdbt-submission-notebook", "kernel_id": "55647361"}, {"ref": "vishnubgb/home-credit-model-stability-lighbgmv2", "kernel_id": "55259579"}, {"ref": "ying081/xgboost-try-polar-submit-q-gini-auc-error", "kernel_id": "55444872"}, {"ref": "kevinw7/kw-home-credit-lgbm-cat-model", "kernel_id": "55296919"}, {"ref": "phangud/credit-risk-model-pyspark", "kernel_id": "55136432"}, {"ref": "nileshiq/credit-risk-model-stability", "kernel_id": "55602236"}, {"ref": "yare333/home-credit-lgb-cat-ensemble-smotenc", "kernel_id": "55838259"}, {"ref": "hytopiaskywalker/notebook7a6e625e2b", "kernel_id": "55889259"}, {"ref": "kusnguyen/home-credit-ensemble-infer-lgb-cat-476127", "kernel_id": "55278942"}, {"ref": "kusnguyen/home-credit-xgb-train", "kernel_id": "55034372"}, {"ref": "shadesh/home-credit-credit-risk-model-stability-v2", "kernel_id": "55090846"}, {"ref": "conykuo/filename-column-definition-table", "kernel_id": "55212801"}, {"ref": "tanmay43sharma/home-credit", "kernel_id": "55227897"}, {"ref": "faeqsu10/home-credit-lgb-cat-ensemble", "kernel_id": "55614801"}, {"ref": "faeqsu10/home-aftersubmissionsopen-3-11-2024-lb-567", "kernel_id": "55616236"}, {"ref": "faeqsu10/2024-04-17", "kernel_id": "55061570"}, {"ref": "chenningyun/home-credit-5dd79d", "kernel_id": "55068765"}, {"ref": "maorblumberg/loan-pred-final", "kernel_id": "55209517"}, {"ref": "hiranya2/xgboost-credit-risk", "kernel_id": "55318336"}, {"ref": "hiranya2/notebookaf06c34122-piml-test", "kernel_id": "55160087"}, {"ref": "hiranya2/eda-lightgbm", "kernel_id": "55154865"}, {"ref": "thadted/cos20083-advanced-data-analytics-group-3", "kernel_id": "55889067"}, {"ref": "mushinw/home-credit-lgb-cat-ensemble", "kernel_id": "55259740"}, {"ref": "mushinw/home-credit-ensemble-infer-lgb-cat-copy", "kernel_id": "55661031"}, {"ref": "mushinw/home-credit-comp", "kernel_id": "55529553"}, {"ref": "ondi1989/aa-final-lgbm-and-catboost-model", "kernel_id": "55706735"}, {"ref": "ondi1989/aa-home-credit-lgbm-cat-model-seaborn-edit", "kernel_id": "55760263"}, {"ref": "chanikant/jd-version", "kernel_id": "55285701"}, {"ref": "chanikant/test-submit", "kernel_id": "55149147"}, {"ref": "chanikant/train-file-myversion", "kernel_id": "55018562"}, {"ref": "chanikant/my-edit-1-home-credit-lgb-cat-ensemble-e9134f", "kernel_id": "55440710"}, {"ref": "zivanwan/an-interesting-but-useless-eda-by-kmean", "kernel_id": "55556514"}, {"ref": "zivanwan/home-credit-xgboost-model", "kernel_id": "55028196"}, {"ref": "kunakornpruksakorn/home-credit-4manu", "kernel_id": "55615595"}, {"ref": "rnakin/rch01", "kernel_id": "55027516"}, {"ref": "rnakin/my-edit-1-home-credit-lgb", "kernel_id": "55024092"}, {"ref": "jabber123/data-changing", "kernel_id": "55181797"}, {"ref": "marcusreul/home-credit-copy", "kernel_id": "55941559"}, {"ref": "duongkhang8888/home-credit-lgb-more-robust", "kernel_id": "55256883"}, {"ref": "auraman/notebook0261c69fc7", "kernel_id": "55098216"}, {"ref": "tanwalai22/home-credit-2024-challenge", "kernel_id": "55471068"}, {"ref": "martptb/dads6003-4manutd-2", "kernel_id": "55268172"}, {"ref": "emkrit1/blue-v2", "kernel_id": "55618965"}, {"ref": "mohansaiganeshkanna/ml-ds-group-13-g1", "kernel_id": "55742161"}, {"ref": "shahzaib10/final", "kernel_id": "55178738"}, {"ref": "aoxxiang/home-credit-lgb-cat-ensemble-df7e8e", "kernel_id": "55193493"}, {"ref": "vitalykudelya/home-credit-metric-playground", "kernel_id": "56172994"}, {"ref": "brycechamberlain/bryce-chamberlain-home-credit-submission", "kernel_id": "56094283"}, {"ref": "uzdavinys/creditrisk-focal-loss-objective", "kernel_id": "56502464"}, {"ref": "eivolkova/stability-metric-issue-probabilistic-approach", "kernel_id": "56844418"}, {"ref": "romandovega/quick-initial-tax-registry-eda", "kernel_id": "56493479"}, {"ref": "rickpack/linear-reg-vif-pred-quantile-reduce", "kernel_id": "56677511"}, {"ref": "roger92/home-credit-baseline-with-boostrfe", "kernel_id": "56498353"}, {"ref": "craving1030/home-credit-model-building-with-tidymodels", "kernel_id": "56982085"}, {"ref": "serjhenrique/hc-crms-feature-importance-over-time", "kernel_id": "56100005"}, {"ref": "kunduruanil/credit-risk-model-hyper-parameter-selection", "kernel_id": "56124288"}, {"ref": "vinitkp/home-credit-lgb-cat-ensemble", "kernel_id": "56045133"}, {"ref": "vinitkp/home-credit-2024", "kernel_id": "56241556"}, {"ref": "pryos55/major-pppp", "kernel_id": "56889587"}, {"ref": "boristown/lb0-62205-best-solution", "kernel_id": "56855099"}, {"ref": "yuuniekiri/fork-of-home-credit-catboost-inference", "kernel_id": "56277134"}, {"ref": "philurame/wandb-lightgbm-guide", "kernel_id": "56814767"}, {"ref": "olegbaryshnikov/home-credit-train-test-split-csv", "kernel_id": "56097638"}, {"ref": "preetesh007/psr-homecredit-creditrisk", "kernel_id": "56318265"}, {"ref": "vedpatel1607/fork-of-start-submission-267762-863c3f", "kernel_id": "56537473"}, {"ref": "ygw97602/home-credit-baseline-1", "kernel_id": "56921000"}, {"ref": "ygw97602/home-credit-data", "kernel_id": "56075095"}, {"ref": "arthurroland/home-credit-lgb-cat-date-hack-solution", "kernel_id": "56673601"}, {"ref": "peijunlu/notebook40ba7bafdd", "kernel_id": "56403879"}, {"ref": "kasumikellerman/notebookc1031ce080", "kernel_id": "56154365"}, {"ref": "eu1234/optuna-with-integrated-stability-metric", "kernel_id": "56813397"}, {"ref": "eu1234/creditrisk-sklearn-pipeline-integrated-metric", "kernel_id": "56097788"}, {"ref": "jierongwen1999/imbalance-correction-on-version8", "kernel_id": "56237074"}, {"ref": "diarray/autofeatureengineering-dfs", "kernel_id": "56833938"}, {"ref": "andreynesterov/lgbm-base-cred-b-a-home-credit-training", "kernel_id": "56057312"}, {"ref": "mo2m1nghareeb/dipth-0", "kernel_id": "56125407"}, {"ref": "ngkhtrf/homecredit-feature-engineering-summary", "kernel_id": "56085041"}, {"ref": "ngkhtrf/homecredit-feature-selection", "kernel_id": "56331980"}, {"ref": "drewmatsumoto/home-credit-2024-eda-target-analysis-autoeda", "kernel_id": "56352599"}, {"ref": "dbashy/using-lgb", "kernel_id": "56827050"}, {"ref": "mohammedhassan92/home-credit-rating", "kernel_id": "56644237"}, {"ref": "gulnihall/home-credit-clean-code-average-ensemble", "kernel_id": "56654604"}, {"ref": "qhiiine/qh-lgb-cat-ensemble", "kernel_id": "56197431"}, {"ref": "qhiiine/home-credit-ensemble-infer-lgb-cat", "kernel_id": "56630103"}, {"ref": "alexxxsem/home-credit-2024-sub", "kernel_id": "56828582"}, {"ref": "cskrystal/home-credit-2024-starter-notebook", "kernel_id": "56886712"}, {"ref": "maikusobu/test-light-ptuna", "kernel_id": "56790650"}, {"ref": "mehdilahrach/home-credit-risk-model-stability", "kernel_id": "56241244"}, {"ref": "satakunterm/hz001kg", "kernel_id": "56147467"}, {"ref": "chendlarbing/hc-test5", "kernel_id": "56479871"}, {"ref": "nguyntrnhithng/tunhomecredit", "kernel_id": "56973221"}, {"ref": "mushinw/team-model", "kernel_id": "56492739"}, {"ref": "cardata/home-credit-data-analysis", "kernel_id": "56612280"}, {"ref": "cardata/home-credit-risk-model-stability", "kernel_id": "56627629"}, {"ref": "jaysooriyajmdc/ml-mini-project", "kernel_id": "56874239"}, {"ref": "nappat/home-credit-pandas-lightgbm", "kernel_id": "56129134"}, {"ref": "kunakornpruksakorn/notebook-4manu", "kernel_id": "56131405"}, {"ref": "ellengaloyan/notebook66e7ee8150", "kernel_id": "56434850"}, {"ref": "qwertynnzh/lession-01-recommend-using-popular-items", "kernel_id": "56222089"}, {"ref": "longngtt/group20", "kernel_id": "56199352"}, {"ref": "geqiuyi/home-credit-2024-lightgbm-gridsearchcv-and-shap", "kernel_id": "56312492"}, {"ref": "maipeiying/home-credit-2024-lightgbm-gridsearchcv-and-shap", "kernel_id": "56786846"}, {"ref": "pxcai666/catboost-lightgbm-ensemble", "kernel_id": "56378160"}, {"ref": "lixinjie0601/home-submission", "kernel_id": "56619358"}, {"ref": "shinosuke/home-credit", "kernel_id": "56234143"}, {"ref": "anjalirh/psr-homecredit-creditrisk", "kernel_id": "56516845"}, {"ref": "pereradulina/credit-risk-prediction-with-lightgbm-and-catboost", "kernel_id": "56717890"}, {"ref": "hcgash123/credit-risk-prediction-with-lightgbm-and-catboost", "kernel_id": "56990419"}, {"ref": "eivolkova/how-to-restore-the-dates", "kernel_id": "57860145"}, {"ref": "evan88/credit-default-prediction-stacking-optuna-voting", "kernel_id": "57814514"}, {"ref": "kesavsivakumar/credit-risk-model-stability-eda", "kernel_id": "57846820"}, {"ref": "tabualkher/homecredit-lgbandcat", "kernel_id": "57529344"}, {"ref": "gromml/custom-loss-stablerocaucloss", "kernel_id": "57758803"}, {"ref": "jasuams/home-credit-v1", "kernel_id": "57012795"}, {"ref": "giorgosfoukarakis/hc-balancedrandomforest-targetencoding", "kernel_id": "57584241"}, {"ref": "atsuno/home-credit-failed-attempt-to-predict-week-num", "kernel_id": "57379710"}, {"ref": "sunquanshuai/myself-credit-pred", "kernel_id": "57685804"}, {"ref": "mayakaripel/notebook9d04027248", "kernel_id": "57445442"}, {"ref": "ezekielsanou/home-credit-competition-final-submission", "kernel_id": "57959534"}, {"ref": "nabojyotipandey/this-is-the-way-3", "kernel_id": "57648327"}, {"ref": "luxiangyun/home-credit-check-files-and-features", "kernel_id": "57545552"}, {"ref": "jaye20447/notebook8717269e6d", "kernel_id": "57573107"}, {"ref": "peashooter/xgboost-training-ordinal-encoding-4f", "kernel_id": "57063329"}, {"ref": "peashooter/xgboost-training-ordinal-encoding-5f1", "kernel_id": "57037278"}, {"ref": "medievil/home-credit-2024-aim-nikolaevov-v1", "kernel_id": "57072469"}, {"ref": "liuxinyu159289/cat-lgb-ensemble-586", "kernel_id": "57638976"}, {"ref": "hngbimnh/fork-of-this-is-the-way", "kernel_id": "57506925"}, {"ref": "hngbimnh/votingclassifier-home-credit", "kernel_id": "57917642"}, {"ref": "diegocapamuguerza/diego-capa-juan-baselga-angel-zamora-i-igo-lopez", "kernel_id": "57670075"}, {"ref": "risakashiwabara/optuna", "kernel_id": "57079592"}, {"ref": "parwer/home-credit", "kernel_id": "57695842"}, {"ref": "ygw97602/home-credit-baseline-3-cat-lgb", "kernel_id": "57029720"}, {"ref": "arthurroland/lgb-train-notebook", "kernel_id": "57131980"}, {"ref": "arthurroland/cat-train-notebook", "kernel_id": "57132089"}, {"ref": "arthurroland/home-credit-lgb-cat-new", "kernel_id": "57427239"}, {"ref": "godoftroller/doublet2-ver20240515-15h53", "kernel_id": "57168361"}, {"ref": "vishnubgb/credit-risk-model-stability-lightgbm-cat", "kernel_id": "57657343"}, {"ref": "vishnubgb/credit-risk-model-stability", "kernel_id": "57221396"}, {"ref": "utuponchanon/home-credit-2024-starter-notebook", "kernel_id": "57658746"}, {"ref": "kinphc/catboost-lightgbm-ensemble", "kernel_id": "57502000"}, {"ref": "geonwookkk/home-credit-baseline-4-automl-training", "kernel_id": "57224135"}, {"ref": "geonwookkk/home-credit-baseline-3-cat-lgb-copy", "kernel_id": "57075715"}, {"ref": "geonwookkk/home-credit-baseline-5-lightautoml-training", "kernel_id": "57428472"}, {"ref": "aere777/credit-risk-prediction-with-lightgbm-and-catboost", "kernel_id": "57000289"}, {"ref": "aere777/credit-risk-model-stability-lightbgm-cat", "kernel_id": "57672293"}, {"ref": "himanshukumar7079/home-credit-lgb", "kernel_id": "57693822"}, {"ref": "cemuzzamil/hccrm-200524", "kernel_id": "57658460"}, {"ref": "miaohn/inference-of-lgb-cat", "kernel_id": "57579097"}, {"ref": "miaohn/miaohn-lgb-cat", "kernel_id": "57314824"}, {"ref": "diarray/featureselection", "kernel_id": "57111977"}, {"ref": "andreynesterov/fork-19-of-home-credit-data", "kernel_id": "57252005"}, {"ref": "andreynesterov/1dcnn-keras-pipe-home-credit-training", "kernel_id": "57663231"}, {"ref": "andreynesterov/home-credit-inference-final-no-hack", "kernel_id": "57952470"}, {"ref": "sean1616/100-homecredit-training", "kernel_id": "57225875"}, {"ref": "tritionalval/0-585", "kernel_id": "57405789"}, {"ref": "tritionalval/script1", "kernel_id": "57405313"}, {"ref": "tritionalval/this-is-the-way", "kernel_id": "57405220"}, {"ref": "tqk3002/credit-risk-prediction-with-lightgbm", "kernel_id": "57383277"}, {"ref": "ngkhtrf/homecredit-final-1", "kernel_id": "57321462"}, {"ref": "fredluo/credit-risk-prediction-with-lightgbm-and-catboost", "kernel_id": "57508794"}, {"ref": "jackskyhadesgu/home-credit-lgb-cat-ensemble", "kernel_id": "57510394"}, {"ref": "tienlyvannhat/feature-cs116", "kernel_id": "57311261"}, {"ref": "khilnguynanh/notebookeca14ca229", "kernel_id": "57662732"}, {"ref": "khilnguynanh/test-1", "kernel_id": "57674573"}, {"ref": "sagarmamodia/home-credit-default-loan-notebook", "kernel_id": "57563691"}, {"ref": "vievyy/cs116-0591", "kernel_id": "57175119"}, {"ref": "nguynmaichtn/notebookd3c6c20fb0", "kernel_id": "57367232"}, {"ref": "nguynmaichtn/trio-technique", "kernel_id": "57008999"}, {"ref": "nhattan321/credit-risk-prediction-with-lightgbm-and-c", "kernel_id": "57083319"}, {"ref": "vnhtrung/home-credit-lgb-cat-ensemble-5d3915", "kernel_id": "57705027"}, {"ref": "tafartech/rhcredit", "kernel_id": "57751581"}, {"ref": "leizhanghao/get-lm-train", "kernel_id": "57483112"}, {"ref": "andreasbis/metric-hack-implementation", "kernel_id": "57484799"}, {"ref": "cheercao/notebook011ca4c788", "kernel_id": "57482732"}, {"ref": "hanstong/lgb-and-catboost", "kernel_id": "57308382"}, {"ref": "giridharidash8989/notebookcc389521d3", "kernel_id": "57401808"}, {"ref": "danghoang379/home-credit-tensorflow-stability-metric-callback", "kernel_id": "57521036"}, {"ref": "danghoang379/homecredit-final", "kernel_id": "57520365"}, {"ref": "lisarosee/this-is-the-way", "kernel_id": "57467651"}, {"ref": "lisarosee/credit-risk-prediction-with-lightgbm-and-ca-99b359", "kernel_id": "57127163"}, {"ref": "lisarosee/home-credit-ensemble-infer-lgb-cat-copy-dc9716", "kernel_id": "57162599"}, {"ref": "lisarosee/credit-risk-prediction-with-lightgbm-and-catboost", "kernel_id": "57049443"}, {"ref": "lisarosee/home-credit-lgb-cat-ensemble", "kernel_id": "57049499"}, {"ref": "lisarosee/catboost-lightgbm-ensemble", "kernel_id": "57049579"}, {"ref": "lisarosee/home-credit-ensemble-infer-lgb-cat-copy", "kernel_id": "57050731"}, {"ref": "lisarosee/home-credit-lgb-cat-ensemble-0d5943", "kernel_id": "57052366"}, {"ref": "lisarosee/fork-of-this-is-the-way", "kernel_id": "57815504"}, {"ref": "patttara/vhome-credit", "kernel_id": "57971788"}, {"ref": "maxwalter0512/gbrv1-biggertrain-walterversion", "kernel_id": "57074863"}, {"ref": "teammanagement/home-credit-lgb-cat-ensemble", "kernel_id": "57408845"}, {"ref": "takeshisendoda/notebookdea3105b81", "kernel_id": "57078539"}, {"ref": "goat2605/home-credit-2024-starter-notebook", "kernel_id": "57397879"}, {"ref": "dominikortler/home-run-credit", "kernel_id": "57154493"}, {"ref": "stichomythicrr/credit-risk-prediction-with-lightgbm-and-ca-8afa8f", "kernel_id": "57219375"}, {"ref": "huydob/script1", "kernel_id": "57302394"}, {"ref": "zfc123456/fork-of-zfc123456", "kernel_id": "57167071"}, {"ref": "gamind/notebook90a3b0caf1", "kernel_id": "57248168"}, {"ref": "fightingzforever/202405202020stacking", "kernel_id": "57680248"}, {"ref": "fightingzforever/newcv202405222307", "kernel_id": "57847396"}, {"ref": "rafanikitas/credit-risk-fe-iv-model-training", "kernel_id": "58540087"}, {"ref": "petrie/feature-cs116", "kernel_id": "58674004"}, {"ref": "jeethathi/home-credit-default-risk", "kernel_id": "58643828"}, {"ref": "ikesan/home-credit-model-lgb-cat-ensemble", "kernel_id": "58373485"}, {"ref": "julieanneco/00-feature-eng-selection", "kernel_id": "58698494"}, {"ref": "ravijoe/votingclassifier-home-credit", "kernel_id": "58019565"}, {"ref": "tabualkher/homecredit-lgb-cpu-balanceddata", "kernel_id": "58245976"}, {"ref": "loki97/home-credit-risk-prediction-eda", "kernel_id": "58710142"}, {"ref": "adegladius/unofficial-winning-solution-0-618-on-private-lb", "kernel_id": "58343725"}, {"ref": "reesejoie/fork-of-v5t3-lightgbm-and-cat-inference", "kernel_id": "58099528"}, {"ref": "mayakaripel/notebookbc37b0deec", "kernel_id": "58029156"}, {"ref": "lenferdetroud/home-credit-lightgbm", "kernel_id": "58115785"}, {"ref": "lenferdetroud/votingclassifier-home-credit", "kernel_id": "58115795"}, {"ref": "lenferdetroud/this-is-the-way-3-add-random", "kernel_id": "58116264"}, {"ref": "lenferdetroud/votingclassifier", "kernel_id": "58271022"}, {"ref": "soonjynnchu/creditrisk-histgradientboosting", "kernel_id": "58020983"}, {"ref": "fadhaaali/last-classifier-home-credit", "kernel_id": "58110579"}, {"ref": "eduardotoloza/stability-of-credit-risk-modeling", "kernel_id": "58138478"}, {"ref": "adomaslvu/homecreditcompetition-gdbt-training-notebook", "kernel_id": "58321817"}, {"ref": "phtlngi/home-credit", "kernel_id": "58010784"}, {"ref": "shadesh/comprehensive-feature-engineering-and-model-ensemb", "kernel_id": "58453911"}, {"ref": "tarajanebhasker/final-submission", "kernel_id": "58318094"}, {"ref": "qamarmath/automated-classification-and-prediction-with-ann", "kernel_id": "58390851"}, {"ref": "dbashy/votingclassifier-home-credit", "kernel_id": "58915087"}, {"ref": "kitnguynvn/feature-selection", "kernel_id": "58007258"}, {"ref": "fanhuaiyuan/this-is-the-way-3-add-random", "kernel_id": "58012266"}, {"ref": "chandery/votingclassifier-home-credit-f73779", "kernel_id": "58010659"}, {"ref": "xinyc39/do-it-again", "kernel_id": "58176841"}, {"ref": "corguin/corg-notebook", "kernel_id": "58112436"}, {"ref": "ninhcongdanh/creditrisk-43ea73", "kernel_id": "58766560"}, {"ref": "wenzhetian/simple-ensemble-with-lgb-and-catboost", "kernel_id": "58907685"}, {"ref": "linglingph/cs116", "kernel_id": "58216266"}, {"ref": "hphat9824/explained-home-credit-pipeline", "kernel_id": "58092819"}, {"ref": "bernardjap1/submission1", "kernel_id": "58259423"}, {"ref": "goodjackman/submission-1", "kernel_id": "58284914"}, {"ref": "gnideey/cos20083-group-13", "kernel_id": "58514696"}, {"ref": "pamalkrmondal/home-credit-risk-management", "kernel_id": "58378411"}, {"ref": "fightingzforever/choosing202405252132", "kernel_id": "58113932"}, {"ref": "linzengrong/votingclassifier-home-credit-e4b8f4", "kernel_id": "58082057"}, {"ref": "smonoboss/xakaton", "kernel_id": "59455085"}, {"ref": "hlfen567/notebook1abe4", "kernel_id": "59034121"}, {"ref": "hlfen567/fork-for-submissions", "kernel_id": "59499646"}, {"ref": "hlfen567/fork-of-home-credit-baseline", "kernel_id": "59462553"}, {"ref": "mengjingyang/catmodel", "kernel_id": "59645368"}, {"ref": "polsyuus/catboostcode", "kernel_id": "59058305"}, {"ref": "mercuryteambbva/mercury-reusable-and-efficient-ml-workflows", "kernel_id": "59425168"}, {"ref": "jyw1213/fork-for-submissions", "kernel_id": "59567812"}, {"ref": "jyw1213/fork-of-home-credit-baseline-743250", "kernel_id": "59568121"}, {"ref": "pagejiao/home-credit-2024-starter-notebook", "kernel_id": "60193408"}, {"ref": "gauravahuja7/fork-of-home-credit-risk-lightgbm", "kernel_id": "60806646"}, {"ref": "gauravahuja7/fork-of-home-credit-catboost-inference", "kernel_id": "60806755"}, {"ref": "minhozz/notebook7e6fb01511", "kernel_id": "60943978"}, {"ref": "babydriver1233/credit-risk-model-stability", "kernel_id": "61292354"}, {"ref": "leduchoank17hl/home-credit-lgb-cat-ensemble-eda-copy", "kernel_id": "61805231"}, {"ref": "nikolaistatsenko/notebook2f6337326f", "kernel_id": "64044875"}, {"ref": "jiting/using-ibisml-and-duckdb-for-a-kaggle-competition", "kernel_id": "65020220"}, {"ref": "alexandrelemercier/all-best-tabular-classifiers-comparative-study", "kernel_id": "65430377"}, {"ref": "mohamedosamaibrahim/hc-t2", "kernel_id": "65812627"}, {"ref": "liuwenbinlotus/home-credit-2024-starter-notebook", "kernel_id": "65879993"}, {"ref": "kirill0212/hc2024", "kernel_id": "66224720"}, {"ref": "jeffzzzhang/traindata", "kernel_id": "66699880"}, {"ref": "marytong/data-preprocessing-feature-engineering", "kernel_id": "66073880"}, {"ref": "gloriatoney/notebook9fecc714c8", "kernel_id": "66947843"}, {"ref": "evysheng/data-preprocessing", "kernel_id": "66749356"}, {"ref": "chennora/notebook641b0f07b5", "kernel_id": "66941232"}, {"ref": "ovrtnsc/fork-of-home-credit-catboost-inference", "kernel_id": "67895464"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "liangbingyu/1022homecredit", "kernel_id": "68416657"}, {"ref": "liangbingyu/1021homecredit", "kernel_id": "68322914"}, {"ref": "liangbingyu/homecredit1026", "kernel_id": "68900625"}, {"ref": "kimyenle/credit-scoring", "kernel_id": "68147444"}, {"ref": "tutuzz/notebook6017a258be", "kernel_id": "69583344"}, {"ref": "zyh1104/038-home-credit-credit-risk-model-stability", "kernel_id": "71670487"}, {"ref": "hiiamgaby/trabalho-av3", "kernel_id": "72533184"}, {"ref": "jeffersonrafael/jefferson-version-fork-of-home-credit-catboost", "kernel_id": "73480546"}, {"ref": "aureoarmas/xgboost-entrenamiento", "kernel_id": "73788132"}, {"ref": "aureoarmas/submission", "kernel_id": "73790718"}, {"ref": "phnghonghi/runthesis", "kernel_id": "75105152"}, {"ref": "ringowo19/junhaodai-home-credit-2024-notebook", "kernel_id": "75252616"}, {"ref": "phnghonghi/checkdataset", "kernel_id": "77064972"}, {"ref": "thanh2502/home-credit-2024", "kernel_id": "80323974"}, {"ref": "bikbulatovdi/bbnv-spbu", "kernel_id": "81304261"}, {"ref": "phiphmvnhong/home-credit-creditcard", "kernel_id": "81912245"}, {"ref": "eduardstanescu/notebook25ec58aee8", "kernel_id": "81939608"}, {"ref": "edigabi11/notebook25ec58aee8", "kernel_id": "81605581"}, {"ref": "phamhuyen286/homecredit-risk-model", "kernel_id": "82686499"}, {"ref": "yunbeomlee/home-credit-credit-risk-model-stability", "kernel_id": "83444209"}, {"ref": "phiphmvnhong/home-model", "kernel_id": "85140057"}, {"ref": "carllux/analise-risco-credito-python", "kernel_id": "85973476"}, {"ref": "thanh2502/code-python-homecredit2024", "kernel_id": "85569176"}, {"ref": "ronivanzorzanbarbosa/extra-o-credit-risk-pt-br", "kernel_id": "86216781"}, {"ref": "superbandy/home-credit-2025-starter-notebook", "kernel_id": "86680674"}, {"ref": "rogersjzh/working-file-home-credit-submission", "kernel_id": "91747939"}, {"ref": "caiyex/working-file-home-credit-submission-49ce02", "kernel_id": "107612248"}, {"ref": "taiyo413/debtor-notebook", "kernel_id": "110576165"}, {"ref": "c8swkk/cat-model-1", "kernel_id": "111396155"}, {"ref": "ariesnggg/creditrisk-sc4000", "kernel_id": "112632676"}, {"ref": "malcolmfongchenghong/sc4000-assignment", "kernel_id": "112557043"}, {"ref": "yingchentina/internet-on", "kernel_id": "114126342"}, {"ref": "ahmed1harfoush/home-credit-credit-risk-model-stability", "kernel_id": "115412032"}, {"ref": "mohamedhanieldoosi/notebooka3ff6f0755", "kernel_id": "115655063"}, {"ref": "zienabgamal/notebook9de240aee5", "kernel_id": "116440120"}, {"ref": "ahmedkroush78/neural-network-for-credit-risk-model-stability", "kernel_id": "116228047"}, {"ref": "ayamahmoudalhareidi/task4v3", "kernel_id": "116612502"}, {"ref": "ayamahmoudalhareidi/task4v2", "kernel_id": "116235733"}, {"ref": "ayaalsayed/notebook10ec5d970d", "kernel_id": "116102969"}, {"ref": "hendkotbabdo/notebook11fb848c84", "kernel_id": "116445305"}, {"ref": "hassanmohamed24/neuralnetwork", "kernel_id": "116189066"}, {"ref": "sakrov/nn-task", "kernel_id": "117575456"}, {"ref": "themoonbeams/lgb-training-phase-1", "kernel_id": "118772121"}, {"ref": "themoonbeams/lgbm-inference", "kernel_id": "118780273"}, {"ref": "themoonbeams/catboost-training", "kernel_id": "118826222"}, {"ref": "giuliastefaniaimbrea/06-improved-optuna-with-best-params", "kernel_id": "119746048"}, {"ref": "giuliastefaniaimbrea/06-ensemble-improved-kaggle", "kernel_id": "119842650"}, {"ref": "mariam23darwish/assignment4-neuralnetwork", "kernel_id": "119117455"}, {"ref": "cirojuniot/notebook3789db7ea6", "kernel_id": "122070431"}, {"ref": "holidayyyy/homecredit-data-preprocess-final-version", "kernel_id": "123671598"}, {"ref": "hopingkim/homeredit-lightgbm-safe", "kernel_id": "123785909"}, {"ref": "phucgiacat/notebookc6df5040f8", "kernel_id": "125076826"}, {"ref": "liwemjing/11111", "kernel_id": "125252223"}, {"ref": "roshaaann30/house-price-prediction-with-xgboost", "kernel_id": "125645435"}, {"ref": "jack7029/home-credit-model-wei", "kernel_id": "128424935"}, {"ref": "joemarchi/home-credit-model", "kernel_id": "128107042"}, {"ref": "langbin/data-mining-2-data-structure", "kernel_id": "130912834"}, {"ref": "pngtng/trang-application-model-kaggle", "kernel_id": "130939496"}, {"ref": "secretiveplotter1863/home-credit-credit-risk-model-stability", "kernel_id": "131165333"}, {"ref": "langbin/home-credit-3-single-table-aggregation-logic", "kernel_id": "131478396"}, {"ref": "jitheshbhatjithu/credit-card-fraud-detection", "kernel_id": "133971849"}]}
{"competition_id": "50169", "kernels": [{"ref": "catadanna/gema-m2-cours-7", "kernel_id": "36509076"}, {"ref": "catadanna/gema-m2-cours-7-copy-paul-m2", "kernel_id": "36791877"}, {"ref": "djibrildassebe/gema-m2-cours-7", "kernel_id": "36543027"}, {"ref": "abassouedraogo/gema-m2-abass-cours-7", "kernel_id": "36544532"}, {"ref": "remibareille/bareille-remi", "kernel_id": "36547175"}, {"ref": "imantsabet/gema-m2-cours-7", "kernel_id": "36546091"}, {"ref": "paulfaguet/gema-m2-cours-7", "kernel_id": "36547237"}, {"ref": "arthurgrimaldi/gema-m2-cours-7-arthur", "kernel_id": "36547222"}, {"ref": "momagueye/tp-not-du-28-03-2023", "kernel_id": "36546341"}, {"ref": "ibrahimadiaw/gema-m2-cours-7-a7016b", "kernel_id": "36553515"}, {"ref": "ebagnitchiecharles/gema-m2-ebagnitchie-charles-cours-7", "kernel_id": "36555722"}, {"ref": "jordanboucetta/gema-m2cours7", "kernel_id": "36545804"}, {"ref": "catadanna/gema-m2-cours-7-kmeans", "kernel_id": "46625299"}, {"ref": "catadanna/gema-m2-cours-dbscan-test", "kernel_id": "47305285"}, {"ref": "catadanna/gema-m2-cours-7-arthur", "kernel_id": "64422785"}, {"ref": "justinsteve/customer-segmentation", "kernel_id": "75071478"}]}
{"competition_id": "50226", "kernels": [{"ref": "deadwife/ka-a-c-p-o", "kernel_id": "36434193"}, {"ref": "bykovaui/baseline-1", "kernel_id": "36892473"}, {"ref": "neontoothpaste/notebook229ed878f6", "kernel_id": "36848371"}]}
{"competition_id": "50241", "kernels": [{"ref": "gerncioo/getting-started", "kernel_id": "36887898"}, {"ref": "gabrielenamie/grupoepyband", "kernel_id": "41676649"}]}
{"competition_id": "50256", "kernels": [{"ref": "stefanvoicu/notebook7c41cc4ff8", "kernel_id": "36432247"}]}
{"competition_id": "50274", "kernels": []}
{"competition_id": "50291", "kernels": []}
{"competition_id": "50299", "kernels": []}
{"competition_id": "50302", "kernels": [{"ref": "vivinousi/notebookd620ff6dbb", "kernel_id": "36598975"}]}
{"competition_id": "50306", "kernels": []}
{"competition_id": "50307", "kernels": []}
{"competition_id": "50308", "kernels": [{"ref": "yunsuxiaozi/data-normalization-and-logical-regression-0-73544", "kernel_id": "36570795"}]}
{"competition_id": "50340", "kernels": []}
{"competition_id": "50344", "kernels": []}
{"competition_id": "50393", "kernels": [{"ref": "aman7kumar/notebook8c2fc48be2", "kernel_id": "36572758"}, {"ref": "abdelmadjidibadaine/draftoo1", "kernel_id": "36608219"}]}
{"competition_id": "50408", "kernels": []}
{"competition_id": "50431", "kernels": []}
{"competition_id": "50437", "kernels": [{"ref": "yunsuxiaozi/fashion-mnist-prune-0-93138", "kernel_id": "40775345"}, {"ref": "yunsuxiaozi/fashion-mnist-prune", "kernel_id": "40750837"}, {"ref": "yunsuxiaozi/cnn-prune-pseudolabel-0-93382", "kernel_id": "40869229"}, {"ref": "yunsuxiaozi/fashion-mnist-0-92976", "kernel_id": "40273773"}, {"ref": "yunsuxiaozi/fashion-mnist", "kernel_id": "41183865"}]}
{"competition_id": "50451", "kernels": []}
{"competition_id": "50464", "kernels": [{"ref": "fabraz/comp5329-initial-submission", "kernel_id": "37213038"}, {"ref": "fabraz/image-and-text-multimodal", "kernel_id": "37268233"}, {"ref": "zihenggg/using-vit-final", "kernel_id": "38718049"}, {"ref": "fabraz/scalling-up-leaderboard", "kernel_id": "39283436"}, {"ref": "fabraz/kfold-image-model", "kernel_id": "39589194"}, {"ref": "fabraz/basic-vision-multilabel-model", "kernel_id": "39371597"}, {"ref": "fabraz/vit-multilabel-model", "kernel_id": "39379509"}, {"ref": "fabraz/swin-multilabel-model", "kernel_id": "39384378"}, {"ref": "fabraz/bert-multilabel-model", "kernel_id": "39512914"}, {"ref": "plarmuseau/fork-of-als-reco", "kernel_id": "40995966"}, {"ref": "hajarelkouni/projet-version-1", "kernel_id": "74643599"}, {"ref": "sabrinechairi/projetv86", "kernel_id": "75509024"}, {"ref": "nirmalgaud/multi-label-classification", "kernel_id": "82660337"}, {"ref": "sergendoumin/multimodel-classification-fusion", "kernel_id": "114895675"}, {"ref": "sergendoumin/image-classification", "kernel_id": "114696809"}]}
{"competition_id": "50465", "kernels": []}
{"competition_id": "50469", "kernels": []}
{"competition_id": "50472", "kernels": []}
{"competition_id": "50473", "kernels": []}
{"competition_id": "50502", "kernels": [{"ref": "ethanprihar/edmcup2023-example-notebook", "kernel_id": "36628958"}, {"ref": "xinchangliu/4051-final-group7", "kernel_id": "38459891"}, {"ref": "nargesrohani/clicktree", "kernel_id": "40405108"}]}
{"competition_id": "50515", "kernels": []}
{"competition_id": "50523", "kernels": []}
{"competition_id": "50524", "kernels": []}
{"competition_id": "50559", "kernels": []}
{"competition_id": "50562", "kernels": []}
{"competition_id": "50569", "kernels": [{"ref": "lexuanhieu131297/baseline-prediction", "kernel_id": "36648709"}, {"ref": "nhatnguyenpt/nguyen-source", "kernel_id": "36850754"}, {"ref": "sssumi/baseline-prediction", "kernel_id": "37282668"}]}
{"competition_id": "50578", "kernels": []}
{"competition_id": "50583", "kernels": []}
{"competition_id": "50631", "kernels": [{"ref": "mohitduklan/predict-telecom-churn", "kernel_id": "36836551"}, {"ref": "farzonaeraj/telco-churn", "kernel_id": "36786306"}, {"ref": "kelvinfoo123/predict-telecom-churn", "kernel_id": "36791771"}, {"ref": "janesaldanha/telecom-churn-v0", "kernel_id": "37040789"}]}
{"competition_id": "50633", "kernels": []}
{"competition_id": "50708", "kernels": []}
{"competition_id": "50709", "kernels": [{"ref": "gnurtqh/transformer-based", "kernel_id": "39756536"}]}
{"competition_id": "50719", "kernels": []}
{"competition_id": "50721", "kernels": []}
{"competition_id": "50723", "kernels": [{"ref": "jimmyying420/cse-151b-huli-huli-chicken-plate", "kernel_id": "39606018"}]}
{"competition_id": "50746", "kernels": []}
{"competition_id": "50756", "kernels": [{"ref": "tracyporter/comment-crush-tf-rnn", "kernel_id": "37071530"}]}
{"competition_id": "50797", "kernels": []}
{"competition_id": "50824", "kernels": []}
{"competition_id": "50862", "kernels": [{"ref": "tracyporter/iris-clustering-kmeans", "kernel_id": "37045756"}, {"ref": "tracyporter/iris-clustering-tf-kmeans", "kernel_id": "37048608"}, {"ref": "csmohamedayman/ml-clust-iris-data-clustering", "kernel_id": "59300088"}]}
{"competition_id": "50868", "kernels": [{"ref": "omlnaut/fastai-rulez", "kernel_id": "37469519"}, {"ref": "bobiboba/hackathon-template-with-simple-cb-implementation", "kernel_id": "37182585"}]}
{"competition_id": "50886", "kernels": [{"ref": "pradeepsapparapu/valuation-prediction-easy-steps", "kernel_id": "37072701"}]}
{"competition_id": "50901", "kernels": []}
{"competition_id": "50902", "kernels": [{"ref": "pradeepsapparapu/fashion-mnist", "kernel_id": "37013944"}]}
{"competition_id": "50918", "kernels": []}
{"competition_id": "50919", "kernels": []}
{"competition_id": "50932", "kernels": [{"ref": "yeonseokcho/predict-the-building-safety-under-the-earthquake", "kernel_id": "36983006"}, {"ref": "lovinggirls/piyush-kumar-styles-initial-template-earthquake", "kernel_id": "36963206"}, {"ref": "aman7kumar/earthquake", "kernel_id": "36952328"}, {"ref": "shihouinyoruichi/building-safety-earthquake", "kernel_id": "36977679"}, {"ref": "tracyporter/earthquake-tf-dnn", "kernel_id": "37014094"}, {"ref": "tracyporter/earthquake-tf-random-forest", "kernel_id": "37017677"}, {"ref": "tracyporter/earthquake-tf-gradient-boosted", "kernel_id": "37027464"}, {"ref": "pradeepsapparapu/earthquake", "kernel_id": "37001734"}, {"ref": "kushanbhagya/earthquake", "kernel_id": "37519650"}, {"ref": "acdundore/1-lb-eda-feature-eng-tree-ensemble", "kernel_id": "42677378"}, {"ref": "lctupaul/baseline-modell", "kernel_id": "56481738"}, {"ref": "lctupaul/plots", "kernel_id": "58279033"}, {"ref": "lctupaul/verbesserte-baseline-modell", "kernel_id": "58281585"}, {"ref": "annettelianchiu/predict-the-building-safety-under-the-earthquake", "kernel_id": "94790956"}, {"ref": "handeharmankaya/building-safety-prediction", "kernel_id": "103163970"}, {"ref": "nihalba/earthquake-damage-prediction", "kernel_id": "114183219"}]}
{"competition_id": "50933", "kernels": [{"ref": "ylpbygrowthjockey/sample-dev-o-thon-notebook", "kernel_id": "37071768"}]}
{"competition_id": "50947", "kernels": [{"ref": "sophieb/eda-kaggle-and-arxiv-datasets", "kernel_id": "38623915"}, {"ref": "plarmuseau/grab-the-competitiondata", "kernel_id": "38699422"}, {"ref": "docxian/kaggle-ai-report-access-to-data", "kernel_id": "38424616"}, {"ref": "suneetsaini/peeking-to-kaggle-ai-report-access-to-data", "kernel_id": "38434196"}, {"ref": "tianmin/kaggle-ai-report", "kernel_id": "38747160"}, {"ref": "jazivxt/intelligencia-escrita", "kernel_id": "38743813"}, {"ref": "anthony35813/ai-report-a-first-look-at-the-data-for-text-data", "kernel_id": "38504250"}, {"ref": "anthony35813/ai-report-meta-kaggle-data-joins", "kernel_id": "38663546"}, {"ref": "mpwolke/kaggle-competitions-still-rock-spacy", "kernel_id": "38491070"}, {"ref": "mpwolke/ia-g-n-rative-avec-ma-ns", "kernel_id": "38488374"}, {"ref": "mpwolke/kaggle-competition-failed-draft", "kernel_id": "38617656"}, {"ref": "mpwolke/chat-or-not-chatgpt-that-s-the-question-the-bard", "kernel_id": "38569051"}, {"ref": "mpwolke/ai-ethics-my-write-oops", "kernel_id": "38443432"}, {"ref": "leonidkulyk/kaggle-ai-report-topic-selection", "kernel_id": "38428849"}, {"ref": "jonasaacampos/artigos-ethics", "kernel_id": "38855406"}, {"ref": "ahmadridwanihakim024/notebook79ac5b12d2", "kernel_id": "38967936"}, {"ref": "muhammadammarjamshed/sample-model-try", "kernel_id": "38432465"}, {"ref": "mauromauro/artificially-intelligent-textual-data-processing", "kernel_id": "38473790"}, {"ref": "pawanthapaliya/tabular-and-time-series-data", "kernel_id": "38790318"}, {"ref": "sumamallapragada/textdata-and-ai", "kernel_id": "38727438"}, {"ref": "denismunene/the-advancement-of-kaggle-competitions-over-years", "kernel_id": "38534334"}, {"ref": "shadowhack/notebook218ed11dbe", "kernel_id": "38771135"}, {"ref": "danielbrito99/kaggle-ai-report-topic-suggestions", "kernel_id": "38467267"}, {"ref": "tann22u/ai-report-essay", "kernel_id": "38778883"}, {"ref": "efraromiyanto/ai-ethics-navigating-the-complex-landscape-of-mac", "kernel_id": "38967056"}, {"ref": "celebi07/ai-kaggle-report", "kernel_id": "38766576"}, {"ref": "guodptech/test-share", "kernel_id": "38577293"}, {"ref": "dmitriygakh/see-slmhm-spem-maturity-tests-lstm-glove", "kernel_id": "38797057"}, {"ref": "robintomar11/kaggle-ai", "kernel_id": "38704211"}, {"ref": "robintomar11/2023-kaggle-ai-report", "kernel_id": "38434128"}, {"ref": "setemidaniel/notebookf9281e5aad", "kernel_id": "38892814"}, {"ref": "doomba2023/kaggle-competition-failed-draft", "kernel_id": "38864775"}, {"ref": "redberry/ai-models-for-biosciences-and-virus-data", "kernel_id": "39146125"}, {"ref": "asenath/on-ethics-and-ai", "kernel_id": "39012831"}, {"ref": "houcinesenoussi/kaggle-ai-report-text-data", "kernel_id": "39173524"}, {"ref": "davidhguerrero/230602-2023-kaggle-ai-transformers-as-feature-ext", "kernel_id": "39372565"}, {"ref": "davidhguerrero/kaggle-ai-topic-modeling-and-clustering", "kernel_id": "39823236"}, {"ref": "akshatpathak/bird-clef-data-preparation-part1", "kernel_id": "39720372"}, {"ref": "anthony35813/using-zero-shot-on-kaggle-competitions", "kernel_id": "39984595"}, {"ref": "esaund/ai-2023-ethics-really-matters-now", "kernel_id": "39113791"}, {"ref": "mpwolke/ai-report-with-pyldavis-dbscan", "kernel_id": "39197524"}, {"ref": "mpwolke/nfl-big-data-bowl", "kernel_id": "39144531"}, {"ref": "mpwolke/imaging-diagnosis-kagglers", "kernel_id": "39121189"}, {"ref": "mpwolke/text-data-on-kaggle-competitions", "kernel_id": "39039098"}, {"ref": "mpwolke/kaggle-writeups-revival", "kernel_id": "39456565"}, {"ref": "pavan9065/kaggle-ai-report", "kernel_id": "39950765"}, {"ref": "naturalray/the-change-in-kaggle-competitions", "kernel_id": "39693095"}, {"ref": "iamleonie/towards-green-ai", "kernel_id": "39268202"}, {"ref": "evgenykuznetsov/reinforcement-learning-agi-already-close", "kernel_id": "39029588"}, {"ref": "chebochitalu/kaggle-community-knowledge-on-ai-ethics-report", "kernel_id": "39560483"}, {"ref": "jocelyndumlao/ai-report-kaggle-competitions", "kernel_id": "39905256"}, {"ref": "raimondextervinluan/2023-kaggle-ai-report-ai-ethics", "kernel_id": "39170526"}, {"ref": "jennifersantiago/ai-ethical", "kernel_id": "39347371"}, {"ref": "satyaprakashshukl/2023-kaggle-ai-report", "kernel_id": "39881191"}, {"ref": "veronikasarikaya/what-is-new-on-ai-ethics", "kernel_id": "39530308"}, {"ref": "abdonasser/ai-in-healthcare", "kernel_id": "39894095"}, {"ref": "crsuthikshnkumar/generative-ai-essay-crsk", "kernel_id": "39883531"}, {"ref": "vasudhanarayanan/ai-ethics-brainstorming", "kernel_id": "39946846"}, {"ref": "yeemeitsang/unreasonably-effective-ensemble-learning", "kernel_id": "39463328"}, {"ref": "yeemeitsang/cracking-nlp-with-transformers", "kernel_id": "39638012"}, {"ref": "partyguy11/2023-kaggle-ai-report-submission-generative-ai", "kernel_id": "39530775"}, {"ref": "bacharacherif/recap-2023-kaggle-ai-report-eda", "kernel_id": "39114763"}, {"ref": "bacharacherif/arxiv-evaluation-papers", "kernel_id": "39336822"}, {"ref": "sanjushasuresh/generative-ai-creating-machines-more-human-like", "kernel_id": "39262966"}, {"ref": "sarahosny/data-exploration", "kernel_id": "39066163"}, {"ref": "philipedision/notebook1eccedb334", "kernel_id": "39152223"}, {"ref": "sreekanthgopi1/musicaisr", "kernel_id": "39651537"}, {"ref": "mainaksil/ai-report-a-first-look-at-the-data-for-text-data", "kernel_id": "39567518"}, {"ref": "dmitriygakh/web-scrapping-preprints-org-basic-eda", "kernel_id": "39272993"}, {"ref": "dmitriygakh/kaggle-ai-report-maturity-at-a-glance", "kernel_id": "39090426"}, {"ref": "harinder441/ggdhdndnsnsbbssnndn", "kernel_id": "39557859"}, {"ref": "parassinghariya/seeding-of-ethics-into-ai", "kernel_id": "39600157"}, {"ref": "ahmedfzl/generative-ai-advancements-from-2021-to-2023", "kernel_id": "39504150"}, {"ref": "ankitadutta1993/big-data-analytics-using-machine-learning", "kernel_id": "39863926"}, {"ref": "sircausticmail/kaggle-aireport-ai-ethics", "kernel_id": "40592716"}, {"ref": "wagnerikeda/arxiv-metadata-analysis", "kernel_id": "40613173"}, {"ref": "christph/copyright-and-privacy-issues-of-generative-ai", "kernel_id": "40432634"}, {"ref": "megan3/ai-ethics-and-covid-19", "kernel_id": "40737814"}, {"ref": "kashnitsky/essay-competition-cards-recent-nlp-competitions", "kernel_id": "40652175"}, {"ref": "ravneetsingh0/r-ai-ethics-91", "kernel_id": "40737740"}, {"ref": "ramgct20/generative-ai-ram", "kernel_id": "40664251"}, {"ref": "sophieb/a-journey-through-text-data-competitions", "kernel_id": "40657819"}, {"ref": "bnzn261029/kaggle-competitions-reflect-the-development-of-ai", "kernel_id": "40484069"}, {"ref": "bnzn261029/kaggle-writeup-entities", "kernel_id": "40136164"}, {"ref": "juanricardop/2023-ai-report-kaggle-competitions", "kernel_id": "40739501"}, {"ref": "usharengaraju/semanticsegmentationusingvits", "kernel_id": "40733605"}, {"ref": "rhysie/learnings-from-the-typical-tabular-pipeline", "kernel_id": "40445776"}, {"ref": "harshadakushe/text-to-image-the-journey-so-far", "kernel_id": "40699331"}, {"ref": "animeshdevarshi/ai-ethics-challenges-and-recommendation", "kernel_id": "40697134"}, {"ref": "adam61803399/notebookeebb208fd0", "kernel_id": "40739836"}, {"ref": "gvyshnya/forbes-ai50-insights", "kernel_id": "40156762"}, {"ref": "gvyshnya/cybersecurity-ai-in-2022-2023", "kernel_id": "40704730"}, {"ref": "amitprasad/generative-ai-turbocharging-hopes-and-fears", "kernel_id": "40554745"}, {"ref": "yossra/the-generative-ai-hype-cycle", "kernel_id": "40738455"}, {"ref": "sabrinahan/kaggle-image-and-video-related-ai-report", "kernel_id": "40925664"}, {"ref": "lrsowmya/kaggle-empowering-data-enthusiasts-to-learn-by-do", "kernel_id": "40412399"}, {"ref": "angeljsalazar/metagaze", "kernel_id": "40733423"}, {"ref": "gstanwar16/a-picture-is-worth-a-thousand-words", "kernel_id": "40711007"}, {"ref": "trushk/2023-kaggle-ai-report-generative-ai", "kernel_id": "40435459"}, {"ref": "niyamatalmass/generative-ai-tools-landscape", "kernel_id": "40415523"}, {"ref": "thedrcat/using-llms-to-extract-structured-data", "kernel_id": "40649742"}, {"ref": "thedrcat/how-to-win-a-kaggle-competition", "kernel_id": "40651612"}, {"ref": "docxian/kaggle-ai-report-writeup-summary-using-text-ai", "kernel_id": "40317454"}, {"ref": "tarunpaparaju/kaggle-ai-report", "kernel_id": "40221162"}, {"ref": "adwivedi/kic-and-ethical-considerations-in-generative-ai", "kernel_id": "40542225"}, {"ref": "bazooo/transformers-from-2020", "kernel_id": "40696512"}, {"ref": "bazooo/advancements-in-computer-vision", "kernel_id": "40473423"}, {"ref": "jonbown/acceleration-is-not-all-you-need-ai-hardware", "kernel_id": "40691975"}, {"ref": "coder98/state-of-content-recommendation-engines-in-2023", "kernel_id": "40674398"}, {"ref": "kkiryll/generative-ai-rise-of-the-transformers", "kernel_id": "40620577"}, {"ref": "jbrans/ethics-in-the-ai-wonderland", "kernel_id": "40659727"}, {"ref": "vinitkp/text-data", "kernel_id": "40688345"}, {"ref": "arunodhayan/kaggle-ai-report-birdclef-series-2019-2023", "kernel_id": "40118313"}, {"ref": "aybiz1/video-image-data-and-ai-an-overview-of-recent", "kernel_id": "40770637"}, {"ref": "nagapur/ai-ethics", "kernel_id": "40135566"}, {"ref": "niralitaf/ai-report", "kernel_id": "40772869"}, {"ref": "datamafia7/a-text-odyssey-the-past-present-and-future-of-nlp", "kernel_id": "40713498"}, {"ref": "membrath/the-evolution-of-biological-synthetic-intelligence", "kernel_id": "40726522"}, {"ref": "nlztrk/generative-ai-a-renaissance-in-creativity", "kernel_id": "40552047"}, {"ref": "aliborji2/stochastic-parrots-or-intelligent-systems", "kernel_id": "40712421"}, {"ref": "esaund/how-to-think-about-large-language-models", "kernel_id": "40372808"}, {"ref": "afamos/ai-reports", "kernel_id": "40735464"}, {"ref": "narendra143/do-you-know-large-language-models", "kernel_id": "40644629"}, {"ref": "ritwikdalmia/unlocking-the-promise-ai-ethics-in-action", "kernel_id": "40615461"}, {"ref": "kmldas/llms-for-social-good-india-case-study", "kernel_id": "40596680"}, {"ref": "ahsuna123/kaggle-ai-report-healthcare-surge", "kernel_id": "40272551"}, {"ref": "fabreeze/the-necessity-of-ai-ethics-and-regulation", "kernel_id": "40665510"}, {"ref": "cmkuta/ai-paper-notebook-one", "kernel_id": "40585639"}, {"ref": "mpwolke/drawings-by-victor-griffh-c-number", "kernel_id": "40610339"}, {"ref": "mpwolke/homage-to-the-magnificent-seven", "kernel_id": "40672400"}, {"ref": "mpwolke/the-mediocre-man-teaming-up-chatgpt", "kernel_id": "40222596"}, {"ref": "mpwolke/pandora-kaggle-s-box-disclosure", "kernel_id": "40093429"}, {"ref": "mpwolke/leave-a-team-a-rule-to-be-broken", "kernel_id": "40404473"}, {"ref": "mpwolke/too-cool-to-fool-don-t-be-lazy-kaggler", "kernel_id": "40525622"}, {"ref": "jotangwq/ai-ethics-through-the-lens-of-immanuel-kant", "kernel_id": "40128436"}, {"ref": "gigikenneth/ethical-implications-of-artificial-intelligence", "kernel_id": "40694806"}, {"ref": "johnny1994/generative-ai-impact-emerging-techniques", "kernel_id": "40694372"}, {"ref": "bimal0007/multimodal-data-processing-in-ai-an-overview-of", "kernel_id": "40651734"}, {"ref": "flaussy/large-language-models-reasoning-ability", "kernel_id": "40724144"}, {"ref": "dhorvay/meta-kaggle-evolution-of-competition-types", "kernel_id": "40556780"}, {"ref": "dhorvay/kaggle-is-the-global-data-science-classroom", "kernel_id": "40443190"}, {"ref": "kausheeki01/analyzing-text-data-for-customer-insights", "kernel_id": "40722443"}, {"ref": "pluvias/kaggle-ai-report-optimization", "kernel_id": "40704161"}, {"ref": "avillalva/actionable-insights-in-cyber-physical-systems", "kernel_id": "40540353"}, {"ref": "vcolliym/climate-research", "kernel_id": "40557298"}, {"ref": "ashusma/progress-in-transformer-based-language-model", "kernel_id": "40412378"}, {"ref": "akinremibunmi/principles-vs-implementation-in-ai-ethics", "kernel_id": "40712917"}, {"ref": "akinremibunmi/principles-vs-implementation-ai-ethics", "kernel_id": "40738223"}, {"ref": "kavisekar/medals-every-kaggle-competition-solution-writeup", "kernel_id": "40296011"}, {"ref": "kavisekar/arxive-paper-structuring", "kernel_id": "40817971"}, {"ref": "kavisekar/latest-development-in-time-series-analysis-report", "kernel_id": "40674780"}, {"ref": "dhanaabishek/ai-ethics-who-decides-what", "kernel_id": "40738403"}, {"ref": "ojaekomo/kaggle-essay-audio-data", "kernel_id": "40605927"}, {"ref": "robertolofaro/a-primer-on-ai-ethics-via-arxiv-focus-2020-2023", "kernel_id": "40695401"}, {"ref": "pinkythomas/the-state-of-time-series-in-kaggle-competitions", "kernel_id": "40731822"}, {"ref": "patrikkenfack/exploring-the-landscape-of-ai-ethics", "kernel_id": "40738118"}, {"ref": "lenaasayed/reportcompetition", "kernel_id": "40628419"}, {"ref": "tamlhp/machine-unlearning-the-right-to-be-forgotten", "kernel_id": "40717315"}, {"ref": "alephn0/generative-ai-angel-or-demon", "kernel_id": "40532012"}, {"ref": "davidharness/ai-peer-review-4d-spacetime-ai-worldview", "kernel_id": "40541475"}, {"ref": "realsleim/the-state-of-text-conditioned-music-generation", "kernel_id": "40697717"}, {"ref": "muhammadirfanakbar/kaggle-ai-report-viz", "kernel_id": "40516048"}, {"ref": "muhammadirfanakbar/data-centric-ai-the-underdog-game-changer-in-ai", "kernel_id": "40680222"}, {"ref": "kensverse/ai-report", "kernel_id": "40720800"}, {"ref": "kaungmyatkyaw/antique-enthusiasts-image-and-or-video-data", "kernel_id": "40679878"}, {"ref": "jayitabhattacharyya/building-llms-from-scratch-generative-ai-report", "kernel_id": "40678734"}, {"ref": "emirhanbilgic/ai-ethics-we-are-about-to-be-late", "kernel_id": "40544506"}, {"ref": "enunenun/artificial-intelligence-and-human-blindspots", "kernel_id": "40597955"}, {"ref": "danielanewton/ethics-ai-and-the-law", "kernel_id": "40657631"}, {"ref": "barbosajaf/jafb-2023-kaggle-ai-report", "kernel_id": "40734340"}, {"ref": "radbear/advances-in-ai-vision-models-in-the-last-two-years", "kernel_id": "40732354"}, {"ref": "sohamjangra/image-and-video-data-analysis-using-ai", "kernel_id": "40927182"}, {"ref": "sohamjangra/generative-ai-a-revolution-in-ai", "kernel_id": "40870143"}, {"ref": "sohamjangra/ai-ethics-balancing-progress-and-responsibility", "kernel_id": "40870183"}, {"ref": "kingabzpro/from-analysis-to-ai-the-journey-of-tabular-data", "kernel_id": "40681465"}, {"ref": "harbhajansingh21/kaggle-ai-report-for-generativeai", "kernel_id": "40607397"}, {"ref": "hosen42/2023-kaggle-ai-report", "kernel_id": "40560658"}, {"ref": "lordxerxes/kaggle-the-future-with-kaggle", "kernel_id": "40433825"}, {"ref": "lordxerxes/how-impactful-has-kaggle-been-and-will-be", "kernel_id": "40400695"}, {"ref": "lordxerxes/extra-features-needed-on-kaggle", "kernel_id": "40568290"}, {"ref": "subhanahmed09/essay-on-ai-ethics", "kernel_id": "40473603"}, {"ref": "dokster/image-and-video-data-kaggle-ai-report", "kernel_id": "40720369"}, {"ref": "nghihuynh/kaggle-ai-report-medical-imaging-competitions", "kernel_id": "40675396"}, {"ref": "acetonewong/what-genai-looks-like-in-2023", "kernel_id": "40626391"}, {"ref": "dominicimbuga/generative-ai-meets-art-creativity", "kernel_id": "40574372"}, {"ref": "crodoc/relevance-of-kaggle-competitions-for-real-life", "kernel_id": "40735717"}, {"ref": "rosyiqdaniel/ai-and-the-future-of-work", "kernel_id": "40420700"}, {"ref": "charliezimmerman/generative-ai-jobs-and-human-freedom", "kernel_id": "40179037"}, {"ref": "sumanadhikari04/unveiling-the-evolution-of-generativeai", "kernel_id": "40710049"}, {"ref": "jocelyndumlao/ai-report-generative-ai", "kernel_id": "40221983"}, {"ref": "deepthiaj/meta-kaggle-analytics-exploring-ai-trends-21-23", "kernel_id": "40287424"}, {"ref": "burnettaw/2023-kaggle-ai-report-generative-ai", "kernel_id": "40631056"}, {"ref": "orereisrael/the-state-of-ai-tabular-time-series-data", "kernel_id": "40738193"}, {"ref": "gouriprakash/generative-ai-a-panoramic-discourse", "kernel_id": "40699323"}, {"ref": "ethanhu8093/meta-analysis-on-kaggle-computer-vision", "kernel_id": "40661808"}, {"ref": "saharkhazali/final-ai-report-tabular-time-series", "kernel_id": "40588650"}, {"ref": "ranjanaroy/ai-report-on-upcoming-technologies-in-the-field-of", "kernel_id": "40734144"}, {"ref": "bhargav6031/advances-in-reinforcement-learning", "kernel_id": "40736932"}, {"ref": "roshinifernando/real-time-object-detection", "kernel_id": "40540269"}, {"ref": "danielhan00/how-ai-sees-what-that-means-for-you-and-me", "kernel_id": "40744417"}, {"ref": "parameshgg/generative-ai-teamwinner", "kernel_id": "40726731"}, {"ref": "satyaprakashshukl/2023-kaggle-ai-generative-ai-summary", "kernel_id": "40141477"}, {"ref": "soumyaoruganti/image-segmentation-ai-report-2023", "kernel_id": "40561849"}, {"ref": "chinmaypagey/generative-ai-report-by-team-sussy-baka", "kernel_id": "40723058"}, {"ref": "jay2333/understand-generate-and-transform-the-world", "kernel_id": "40617720"}, {"ref": "saijavvadi/gen-ai", "kernel_id": "40699333"}, {"ref": "luckypen/actionable-ai-ethics", "kernel_id": "40365615"}, {"ref": "pranavbelhekar/a-glimpse-into-the-realm-of-generative-ai", "kernel_id": "40728519"}, {"ref": "sukrutapardeshi/advancements-of-generative-ai-in-ar-vr-world", "kernel_id": "40539298"}, {"ref": "satarupadeb/role-of-generative-ai-in-industry-5-0", "kernel_id": "40738651"}, {"ref": "sodipepaul/addressing-bias-and-promoting-fairness-in-ai", "kernel_id": "40699072"}, {"ref": "umuttoygargoz/time-series-forecasting", "kernel_id": "40549150"}, {"ref": "dishadutta1/ai-ethics", "kernel_id": "40663929"}, {"ref": "binarybeast880/kaggle-ai-report", "kernel_id": "40674187"}, {"ref": "sandeepmnair/generative-model-for-visual-language-understanding", "kernel_id": "40557312"}, {"ref": "adriandip/approximating-global-minima-with-very-small-datase", "kernel_id": "40737696"}, {"ref": "anaghasavit/kagglecompetitionsessay", "kernel_id": "40122531"}, {"ref": "mahadevan39/the-generative-leap", "kernel_id": "40738527"}, {"ref": "dgoldberg98/team-rangers", "kernel_id": "40733391"}, {"ref": "sandeepvarma1234/notebook9781393430", "kernel_id": "40740919"}, {"ref": "subsailor/time-series-forecasting-is-simplicity-the-key", "kernel_id": "40613653"}, {"ref": "harishbhalaas/harish-s-kaggle", "kernel_id": "40729393"}, {"ref": "mistylight/mini-giants-small-language-models", "kernel_id": "40736541"}, {"ref": "rizvanam/generative-ai-evolution-and-powers", "kernel_id": "40699270"}, {"ref": "johnlangenderfer/ethics-in-ai", "kernel_id": "40675719"}, {"ref": "prathmeshadsod/dive-in-computer-vision", "kernel_id": "40694562"}, {"ref": "hodajalali/a-broad-intro-to-graph-learning-complex-networks", "kernel_id": "40740322"}, {"ref": "monicasusan/through-the-eyes-of-ai", "kernel_id": "40699943"}, {"ref": "abdulkhadarn/the-tab-and-the-time", "kernel_id": "40691698"}, {"ref": "dm2022/generative-ai-future-is-in-our-hands", "kernel_id": "40523590"}, {"ref": "navpallav31/ai-ethics-snapshot", "kernel_id": "40528139"}, {"ref": "mayanessmith/notebook887398217d", "kernel_id": "40670810"}, {"ref": "hridaym25/a-symphony-of-senses-multimodal-machine-learning", "kernel_id": "40696404"}, {"ref": "ramindersingh1960/ai-sf9", "kernel_id": "40738120"}, {"ref": "basemajarmah/fractional-backpropagation-training-advanced-unle", "kernel_id": "40656334"}, {"ref": "sreeharicr/unleashing-the-power-of-kaggle-competitions", "kernel_id": "40693401"}, {"ref": "florentvaucher/2023-kaggle-ai-report", "kernel_id": "40703706"}, {"ref": "henaadlakha/notebook87e4fb5292", "kernel_id": "40703752"}, {"ref": "insiyajafferji/kaggle-competitions-for-biological-sciences", "kernel_id": "40610795"}, {"ref": "sitammeur/generative-ai-kaggle-report", "kernel_id": "40731768"}, {"ref": "antongc/developments-in-ai-and-ethics-in-the-past-2-years", "kernel_id": "40738178"}, {"ref": "fatemehfazlali/notebook12d89287d2", "kernel_id": "40706482"}, {"ref": "prethamnandakumar/innovations-and-advancements-in-computer-vision", "kernel_id": "40453408"}, {"ref": "prasadshingare/kaggle-ai-report", "kernel_id": "40691622"}, {"ref": "vasudhanarayanan/ai-ethics-outline", "kernel_id": "40259969"}, {"ref": "viharkonda/kaggle-ai-report-essay", "kernel_id": "40529236"}, {"ref": "kobbiemanrique/tabular-data-in-the-age-of-ai", "kernel_id": "40626673"}, {"ref": "aayush1618tomar/what-ai-sees-in-an-image-what-remains-hidden", "kernel_id": "40697675"}, {"ref": "bharatsharma1998/essay-notebook-with-text-data", "kernel_id": "40527862"}, {"ref": "bharatsharma1998/kaggle-essay-with-text-data", "kernel_id": "40481245"}, {"ref": "poojach7611/tabular-and-time-series-data", "kernel_id": "40188502"}, {"ref": "preethiraghuraman/ai-report-2023-information-retrieval", "kernel_id": "40734041"}, {"ref": "eatalittlel/ai-and-mathematical-research", "kernel_id": "40774519"}, {"ref": "eklavya12/generative-ai-a-report", "kernel_id": "40737707"}, {"ref": "jainam213/the-hitchhiker-s-guide-to-generative-ai", "kernel_id": "40651057"}, {"ref": "umesalma/deep-dive-into-rsna-breast-cancer-detection", "kernel_id": "40719618"}, {"ref": "jonmendoza88/notebook15e8265d0f", "kernel_id": "40737689"}, {"ref": "soniadsilva/kaggle-ai-deepmed-detectives", "kernel_id": "40699875"}, {"ref": "soniadsilva/ai-at-the-cutting-edge-of-medical-imaging", "kernel_id": "40710193"}, {"ref": "loviseugyn/other-deep-learning-pattern", "kernel_id": "40533278"}, {"ref": "ashishjagdishsharma/the-chronicles-of-tabular-and-time-series-analysis", "kernel_id": "40546885"}, {"ref": "kaggleprollc/generative-ai-hacking-the-growth", "kernel_id": "40612526"}, {"ref": "timvy13/kaggle-report-2023-ai-ethics", "kernel_id": "40740467"}, {"ref": "naveedurrehman787/ai-ethics", "kernel_id": "40565436"}, {"ref": "daviscd/ai-ethics-review", "kernel_id": "40739394"}, {"ref": "hassanabdullahsaleem/the-evolution-of-ai-ethics-balancing-the-promise", "kernel_id": "40529090"}, {"ref": "varunkabra123/data-and-time-series", "kernel_id": "40698196"}, {"ref": "harshitagandhi123/revolution-to-healthcare", "kernel_id": "40666331"}, {"ref": "tatjanadubovskaja/image-and-video-data2", "kernel_id": "40771036"}, {"ref": "tatjanadubovskaja/notebook5b0530f4c5", "kernel_id": "40739305"}, {"ref": "aliwisterr/transfomers-for-time-series-forecasting", "kernel_id": "40544408"}, {"ref": "pandoraalias/unleashing-visual-intelligence-vid-img", "kernel_id": "40740029"}, {"ref": "pandoraalias/unveiling-the-unconventional-other", "kernel_id": "40738792"}, {"ref": "pandoraalias/charting-the-ethical-landscape-ai-ethics", "kernel_id": "40738694"}, {"ref": "pandoraalias/unraveling-temporal-patterns-on-t-series-tabular", "kernel_id": "40738316"}, {"ref": "pandoraalias/unleashing-creativity-on-gen-ai", "kernel_id": "40738578"}, {"ref": "pandoraalias/unleashing-the-competitive-spirit-k-competitions", "kernel_id": "40738463"}, {"ref": "pandoraalias/from-words-to-wisdom-ai-report-on-text-data", "kernel_id": "40738132"}, {"ref": "anangshahalder/what-if-generative-ai-and-llm-break-their-rules", "kernel_id": "40646477"}, {"ref": "mohshahin/unveiling-the-challenge-of-ai-bias-a-comprehensiv", "kernel_id": "40703709"}, {"ref": "dylanwaste/topic-salience-in-the-academic-literature", "kernel_id": "40738287"}, {"ref": "lorresprz/applying-ai-ml-to-theoretical-physics", "kernel_id": "40714398"}, {"ref": "manansoam/evolution-of-generative-ai", "kernel_id": "40630638"}, {"ref": "pratyushranjan01/ai-ethics-01", "kernel_id": "40529403"}, {"ref": "collinschukwukaeme/ai-ethics-ensuring-an-ethical-ai-future", "kernel_id": "40739799"}, {"ref": "diegoexe/kaggle-ai-report-medical-data", "kernel_id": "40496381"}, {"ref": "astergalemayehu/ai-ethics-for-beginners", "kernel_id": "40739681"}, {"ref": "bensonwamae/modern-uses-of-ml-in-credit-card-fraud-detection", "kernel_id": "40788498"}, {"ref": "ycicic/notebook456146e1cf", "kernel_id": "40580792"}, {"ref": "glenfordrobinson/the-2023-kaggle-ai-report-competition", "kernel_id": "40729176"}, {"ref": "ingmanueljerez/we-are-taking-important-decision-about-ai-ethics", "kernel_id": "40376257"}, {"ref": "gopikasrik/stockdata-prediction", "kernel_id": "40732997"}, {"ref": "manoj223/kaggle-ai-report", "kernel_id": "40586258"}, {"ref": "aathiqanassim/ai-ethics", "kernel_id": "40694764"}, {"ref": "sergeysytchev/generative-ai-as-a-leading-domain-in-ai-developmen", "kernel_id": "40702874"}, {"ref": "namyavyas/generative-ai-from-2021-to-2023-by-namya-vyas", "kernel_id": "40738155"}, {"ref": "husainrehmanji/notebook3ef19d1a39", "kernel_id": "40699453"}, {"ref": "ashwinivaishnavam/bank-customer-churn-modelling", "kernel_id": "40734197"}, {"ref": "yashsarwaiya/generative-ai", "kernel_id": "40661727"}, {"ref": "shreyanshmurathia/ethics-of-real-intelligence-in-an-artificial-world", "kernel_id": "40731572"}, {"ref": "shashankksrivastava/ai-ethics", "kernel_id": "40542204"}, {"ref": "pandeyg0811/catalysts-of-change-llms-in-genai", "kernel_id": "40837912"}, {"ref": "pandeyg0811/llms-in-gai-innovations", "kernel_id": "40666394"}, {"ref": "nibeditasahu/kaggle-ai-report-2023", "kernel_id": "40543146"}, {"ref": "shraddhabarke/automated-programming-with-generative-ai", "kernel_id": "40682019"}, {"ref": "bharatijog/video-image-data-and-ai-an-overview-of-recent", "kernel_id": "40746328"}, {"ref": "aryapantony/ai-ethics-for-sapiens", "kernel_id": "40704427"}, {"ref": "snehasirinagabathula/notebooke09d801b46", "kernel_id": "40739185"}, {"ref": "cynthiaaniobi/ai-in-medicine", "kernel_id": "40731537"}, {"ref": "sriramm2010/autonomous-cars-a-new-way-of-getting-around", "kernel_id": "40546456"}, {"ref": "joshnoble/generative-ai-navigating-new-waters", "kernel_id": "40584349"}, {"ref": "carolynsaund/a-values-driven-look-at-ai-ethics", "kernel_id": "40733845"}, {"ref": "javadbabayian/image-and-video-data-2023-kaggle-ai-report", "kernel_id": "40508111"}, {"ref": "amosii/artificial-intelligence-a-digital-renaissance", "kernel_id": "40703708"}, {"ref": "qrohn2/generative-ai-advancements", "kernel_id": "40665568"}, {"ref": "chungwaitang/humant", "kernel_id": "40677070"}, {"ref": "sayantanis11/understanding-ethical-ai", "kernel_id": "40734579"}, {"ref": "manjeshhb0066hb/kaggle-ai-report-for-others-creating-an-ai-world", "kernel_id": "40616539"}, {"ref": "laalinibhgoadi/kaggle-ai-report-for-tabular-and-time-series-data", "kernel_id": "40685999"}, {"ref": "laalinibhgoadi/recent-advancements-in-field-of-ai-in-healthcare", "kernel_id": "40740772"}, {"ref": "cjnukx/it-is-unethical-to-build-a-perfect-ai-ai-ethics", "kernel_id": "40675830"}, {"ref": "muhammadanwaar101/the-evolution-of-ai-ethics", "kernel_id": "40731023"}, {"ref": "cmkuta/category-other-using-us-patents-to-track-ai", "kernel_id": "41079449"}, {"ref": "riyajm/advancement-in-context-window", "kernel_id": "41090462"}, {"ref": "natashameshram/ai-the-ruler", "kernel_id": "41965951"}, {"ref": "mayakaripel/notebook7074be764f", "kernel_id": "41068204"}, {"ref": "sohamjangra/threats-to-humanity-from-ai", "kernel_id": "41101325"}, {"ref": "sohamjangra/tabular-and-time-series-data-analysis-using-ai", "kernel_id": "41130397"}, {"ref": "murtadhayaseen/the-role-of-ai-in-supporting-lgbt-community-life", "kernel_id": "41941020"}, {"ref": "shreyamishra610/ethical-ai-is-all-we-need", "kernel_id": "41124350"}, {"ref": "seemantkaushal/ethic-of-ai", "kernel_id": "41734352"}, {"ref": "abdoubrk/generative-ai-a-new-revolution", "kernel_id": "41080395"}, {"ref": "pranavrajpandey/pranavrajreportai", "kernel_id": "41092203"}, {"ref": "awesomeharris/top-ds-youtubers-and-trend-insights", "kernel_id": "41075311"}, {"ref": "khalifaalrajhi/notebook8d50f4c4ad", "kernel_id": "41490487"}, {"ref": "charleschuang/clustering-methods-for-medicine", "kernel_id": "41003535"}, {"ref": "bhatnagardaksh/introduction-to-regular-expressions", "kernel_id": "42224723"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "sblaizer/in-depth-analysis-of-kaggle-and-arxiv-datasets", "kernel_id": "43665058"}, {"ref": "ananyaroy1011/ai-medix", "kernel_id": "43057175"}, {"ref": "parthbansal99/2023-kaggle-ai-report-generative-ai", "kernel_id": "44537513"}, {"ref": "rkdgusdn/ai-at-the-cutting-edge-of-medical-imaging", "kernel_id": "47276394"}, {"ref": "ankitsingh1299/building-llms-generative-ai-prompt-engineering", "kernel_id": "49400461"}, {"ref": "sabihajahaneasha/cybersecurity-ai-in-2022-2023", "kernel_id": "50425488"}, {"ref": "youssifhassan/generative-ai-kaggle-report", "kernel_id": "50934573"}, {"ref": "toshik/gemma-meets-langchain-summarize-kaggle-writeups", "kernel_id": "51503396"}, {"ref": "donkeys/gemma-v1-1-for-kaggle-writeup-summaries", "kernel_id": "51590376"}, {"ref": "mpwolke/sea-shanties-can-t-hold-gemma-down", "kernel_id": "51661415"}, {"ref": "mpwolke/thanks-for-delivering-my-writeup-order-gemma", "kernel_id": "51472848"}, {"ref": "mpwolke/kaggle-writeups-gemma-in-keras", "kernel_id": "51432603"}, {"ref": "iamleonie/rag-with-gemma-on-hf-and-weaviate-in-dspy", "kernel_id": "51427306"}, {"ref": "iamleonie/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "51637918"}, {"ref": "jocelyndumlao/gemma-llm-fine-tuning-lora-q-a-summaries", "kernel_id": "51805212"}, {"ref": "hrhuynguyen/building-kaggle-ai-assistant-with-gemma", "kernel_id": "51392216"}, {"ref": "ashioyajotham/gemma-summarizer-kaggle-solutions-pytorch-backend", "kernel_id": "51278800"}, {"ref": "ajengmiranti/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "52695620"}, {"ref": "donkeys/qa-solutions-from-past-competitions", "kernel_id": "53362861"}, {"ref": "bunny11/ai-assitant-gemma-2b-it", "kernel_id": "53462307"}, {"ref": "vinitkp/generativeai-generativeadversarialnetworks-gans", "kernel_id": "54831269"}, {"ref": "fangliliu/quantitative-solutions-summary-with-rag", "kernel_id": "54530580"}, {"ref": "omkarsingh20/building-llms-from-scratch-generative-ai-report", "kernel_id": "54936571"}, {"ref": "pranavbelhekar/hushh-kaggle-solution", "kernel_id": "54706866"}, {"ref": "aadityavardhan/thapar-aadityavardhan-102117021", "kernel_id": "54347335"}, {"ref": "eishkaran/gemma-kaggle-solution-expert", "kernel_id": "54689905"}, {"ref": "kkamal2003/summarize-kaggle-write-up-using-gemma", "kernel_id": "54190677"}, {"ref": "sachinsushilsingh/thapar-sachinssingh-102103575", "kernel_id": "54688032"}, {"ref": "simarjeetsingh11/thapar-simarjeetsingh-102153026", "kernel_id": "54604641"}, {"ref": "seifkhelifi/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "55302665"}, {"ref": "hunhtnthnh/vm-codegeneration", "kernel_id": "58881626"}, {"ref": "chenxucool/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "65322410"}, {"ref": "khandelwal10iitj/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "66550076"}, {"ref": "humanresource1/generative-ai-advancements-from-2021-to-2023", "kernel_id": "70430150"}, {"ref": "jugalmodipesurr/dl-for-image", "kernel_id": "78794167"}, {"ref": "mpwolke/gold-standard-evaluations-metakaggle", "kernel_id": "83975685"}, {"ref": "anshumansrinet/notebook2fa0be3b19", "kernel_id": "98955707"}, {"ref": "salvadivamshi/notebook4e4254009b", "kernel_id": "107535278"}, {"ref": "vuhunghn/2023-kaggle-ai-report-ai-ethics", "kernel_id": "124432752"}]}
{"competition_id": "50987", "kernels": [{"ref": "vpattanaik/template", "kernel_id": "36983501"}, {"ref": "sanishkumar2017cs04/template", "kernel_id": "36991425"}, {"ref": "santa7/notebook-07", "kernel_id": "36998493"}, {"ref": "ashishkumarmajhi/submission", "kernel_id": "36990930"}, {"ref": "kumarayan/ayan-kumar-submission-template", "kernel_id": "36990167"}, {"ref": "prashanttandon/prashant-tandon-iisc-internship", "kernel_id": "36990805"}, {"ref": "mohdnaved089/mohd-naved", "kernel_id": "36990178"}, {"ref": "devanshjaiswal007/devansh-jaiswal", "kernel_id": "36992382"}, {"ref": "kayvanshah/summer-internship-ml-cistup-iisc", "kernel_id": "37016180"}, {"ref": "mananbedi/v5-with-bias", "kernel_id": "37033769"}, {"ref": "roshananduri/roshan-anduri", "kernel_id": "37022407"}, {"ref": "ishanpaul/pol2033", "kernel_id": "37046694"}, {"ref": "ayushkumardalai/ayushkumardalai", "kernel_id": "37009198"}, {"ref": "j33vansh/j33vi", "kernel_id": "37012882"}, {"ref": "meghanaraom/template-cf15b7", "kernel_id": "37039635"}, {"ref": "mehulgoyal49/template-666c44", "kernel_id": "37027290"}, {"ref": "anshawasthi01/anshawasthi01", "kernel_id": "37026571"}, {"ref": "piyush0910/piyush09", "kernel_id": "37004252"}, {"ref": "nilmish/swapnil-mishra", "kernel_id": "37043243"}, {"ref": "bhoomikart/bhoomika", "kernel_id": "37040643"}, {"ref": "tanbirsarkar/iisc-summer-ml-code-challenge-2023", "kernel_id": "37041533"}, {"ref": "subhajitmondal24/subhajit-mondal", "kernel_id": "37059093"}]}
{"competition_id": "50995", "kernels": []}
{"competition_id": "51031", "kernels": []}
{"competition_id": "51043", "kernels": []}
{"competition_id": "51066", "kernels": [{"ref": "lazydead/notebook012be9d8bc", "kernel_id": "37494309"}, {"ref": "tinabai/20217123-wbt", "kernel_id": "39186483"}]}
{"competition_id": "51067", "kernels": []}
{"competition_id": "51074", "kernels": [{"ref": "rosssin/notebookf17ca916c0", "kernel_id": "37574475"}]}
{"competition_id": "51075", "kernels": [{"ref": "eunjojang/baseline", "kernel_id": "37856768"}, {"ref": "ysy7838/notebook04370b5ded", "kernel_id": "38694199"}, {"ref": "ysy7838/notebookdadf470884", "kernel_id": "38935383"}]}
{"competition_id": "51082", "kernels": []}
{"competition_id": "51084", "kernels": []}
{"competition_id": "51107", "kernels": [{"ref": "rishabh2001/starter-script", "kernel_id": "37125499"}, {"ref": "mlnoob327/starter-script", "kernel_id": "37297777"}, {"ref": "mlnoob327/main-py", "kernel_id": "37576892"}]}
{"competition_id": "51110", "kernels": []}
{"competition_id": "51124", "kernels": [{"ref": "pradeepsapparapu/23spring-prediction", "kernel_id": "37120555"}]}
{"competition_id": "51133", "kernels": []}
{"competition_id": "51147", "kernels": [{"ref": "pietromaldini1/submission-grad-bunker", "kernel_id": "37261396"}, {"ref": "faiazahsan/gradbunker-competition", "kernel_id": "37331338"}, {"ref": "nowshad231/grad-bunker-data-science-competition-notebook", "kernel_id": "37305675"}]}
{"competition_id": "51175", "kernels": [{"ref": "bhuvanagayathri/bmi707-epi290-assignment-2-q5", "kernel_id": "39216847"}]}
{"competition_id": "51178", "kernels": [{"ref": "mpwolke/what-is-integer-ai", "kernel_id": "37132658"}]}
{"competition_id": "51180", "kernels": [{"ref": "rishabh2001/starter-inference-script", "kernel_id": "37248822"}, {"ref": "mlnoob327/trainer-inference", "kernel_id": "38059035"}, {"ref": "mlnoob327/submission-inference", "kernel_id": "39489884"}]}
{"competition_id": "51181", "kernels": []}
{"competition_id": "51182", "kernels": [{"ref": "yunsuxiaozi/netural-network", "kernel_id": "37539630"}]}
{"competition_id": "51185", "kernels": []}
{"competition_id": "51186", "kernels": [{"ref": "adarshm0han/submission", "kernel_id": "37259759"}, {"ref": "arunchechi/lead-score-algorithm-using-ml", "kernel_id": "37337452"}]}
{"competition_id": "51218", "kernels": []}
{"competition_id": "51220", "kernels": [{"ref": "lovinggirls/initial-submit-template", "kernel_id": "37251179"}]}
{"competition_id": "51248", "kernels": [{"ref": "georgedoukas/2023-machine-learning-challenge", "kernel_id": "37297522"}, {"ref": "pradeepsapparapu/2023-machine-learning-challenge", "kernel_id": "37247612"}]}
{"competition_id": "51284", "kernels": []}
{"competition_id": "51294", "kernels": [{"ref": "alexandervc/cd-hit-sequence-clustering", "kernel_id": "37796091"}, {"ref": "alexandervc/dna-language-models", "kernel_id": "37856057"}, {"ref": "alexandervc/protein-aligners-benchmark-parasail-diamond-etc", "kernel_id": "39757895"}, {"ref": "dschettler8845/sr-rna-reactivity-learn-eda-baseline", "kernel_id": "42994526"}, {"ref": "umar47/rna-folding-reduce-memory-add-features-seq2seq", "kernel_id": "42956262"}, {"ref": "hiramcho/ribonanza-langchain-agenst-for-rna-bioinformatics", "kernel_id": "42994676"}, {"ref": "hiramcho/ribonanza-rna-visualization", "kernel_id": "42949162"}, {"ref": "mpwolke/eterna-a-kaggler-human-intuition", "kernel_id": "42927490"}, {"ref": "ammarahmadqazi/fasta-basic-exploration", "kernel_id": "42947554"}, {"ref": "rhijudas/interactive-rhofold", "kernel_id": "42011982"}, {"ref": "ayushs9020/understanding-the-competition-standford-ribonaza", "kernel_id": "42940993"}, {"ref": "chrisk321/rna-folding-in-r-eda", "kernel_id": "42959279"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "jasonheesanglee/rna-science-checking-files", "kernel_id": "42939722"}, {"ref": "brainbowrna/rna-science-computational-environment", "kernel_id": "42919066"}, {"ref": "nihilisticneuralnet/methods-to-load-read-csv-file", "kernel_id": "42942054"}, {"ref": "fnands/a-quick-gnn-baseline", "kernel_id": "43588930"}, {"ref": "rafiko1/standford-ribonanza-rna-theory-short-eda", "kernel_id": "43193684"}, {"ref": "vitorbl/ribonanza-visualizing-rna-targets", "kernel_id": "43531360"}, {"ref": "vitorbl/ribonanza-rna-simple-eda", "kernel_id": "43132071"}, {"ref": "iafoss/rna-starter-0-186-lb", "kernel_id": "43006564"}, {"ref": "iafoss/rna-starter-submission-0-186-lb", "kernel_id": "43035430"}, {"ref": "mishazybin/simple-baseline-submit-medians", "kernel_id": "43746520"}, {"ref": "alexandervc/ribonanza-1-eda", "kernel_id": "43086227"}, {"ref": "alexandervc/ribonanza-prepare-data", "kernel_id": "43495850"}, {"ref": "alexandervc/ribonanza-show-2-millions-files", "kernel_id": "43495915"}, {"ref": "alexandervc/ribonanza-nonnan-targets", "kernel_id": "43554696"}, {"ref": "alexandervc/ribonanza-baselines-medians-onehot-ridge-lb0-229", "kernel_id": "43562134"}, {"ref": "stpeteishii/rna-sequence-similarity", "kernel_id": "43059935"}, {"ref": "stpeteishii/eterna-openknot-metadata-name-histplot", "kernel_id": "43121666"}, {"ref": "bhavesh1335/rna-structure-prediction", "kernel_id": "43529224"}, {"ref": "tavoglc/ribonanza-with-kmers", "kernel_id": "43159280"}, {"ref": "saikiranvarma/reduce-memory-of-training-data-by-50", "kernel_id": "43121571"}, {"ref": "zy1343930734/rna-starter-submission", "kernel_id": "43085994"}, {"ref": "jocelyndumlao/rna-structure-prediction-performance-analysis", "kernel_id": "43489364"}, {"ref": "vedanttamgadge/ribonanza-rna-folding-trial", "kernel_id": "43236540"}, {"ref": "mattiaachilli9898/stanford-ribonanza-rna-folding", "kernel_id": "43025837"}, {"ref": "jonasthoenfaber/reactivity-prediction", "kernel_id": "43127000"}, {"ref": "fatariq/stanford-ribonanza-rna-folding", "kernel_id": "43025697"}, {"ref": "horikitasaku/rna-data-memory-reducing", "kernel_id": "43036549"}, {"ref": "enricomanosperti/stanford-ribonanza-rna-folding", "kernel_id": "43152433"}, {"ref": "jimmyknox/counting-letters", "kernel_id": "43770597"}, {"ref": "arefbagherzadeh/ribo-nn", "kernel_id": "43689463"}, {"ref": "colewelkins/mlrna", "kernel_id": "43163580"}, {"ref": "laetitialanfranchi/script-bpp", "kernel_id": "43772175"}, {"ref": "laetitialanfranchi/script-cfg", "kernel_id": "43753149"}, {"ref": "laetitialanfranchi/script-train", "kernel_id": "43730773"}, {"ref": "laetitialanfranchi/exploration-with-graphs-and-sequence-visualization", "kernel_id": "43723445"}, {"ref": "laythaljorani/data-viz", "kernel_id": "43075140"}, {"ref": "ahmedelsayed01/simple-nn-dataloader", "kernel_id": "43885020"}, {"ref": "ankujaiswal92/eda-01", "kernel_id": "43463934"}, {"ref": "yassinealouini/eda-rna-with-polars", "kernel_id": "44779657"}, {"ref": "ajenningsfrankston/rna-clustering", "kernel_id": "44312223"}, {"ref": "nizamuddin/rna-starter", "kernel_id": "44327045"}, {"ref": "cevangelist/rna-main-dataset-eda", "kernel_id": "44162456"}, {"ref": "tavoglc/vaes-for-ribonanza", "kernel_id": "44150278"}, {"ref": "barteksadlej123/rna-transformer-with-rotary-embedding", "kernel_id": "44922870"}, {"ref": "wrecked22/starters-eda-fastai-rnn", "kernel_id": "44020069"}, {"ref": "ilikedeeplearning/sample-submission-ribonanza-rna-folding", "kernel_id": "44068901"}, {"ref": "ilikedeeplearning/frontier-submission-ribonanza-rna-folding", "kernel_id": "44114422"}, {"ref": "vivekgediya/stanford-ribonanza-rna-folding-median", "kernel_id": "44646877"}, {"ref": "nadaelmasry/kagglernachallenge-eda", "kernel_id": "44769900"}, {"ref": "martynoveduard/save-csv-faster-using-polars", "kernel_id": "44314767"}, {"ref": "shlomoron/srrf-transformer-tpu-training", "kernel_id": "44723787"}, {"ref": "shlomoron/srrf-transformer-tpu-inference", "kernel_id": "44820475"}, {"ref": "farisalahmdi/rna-starter", "kernel_id": "44388935"}, {"ref": "kirtirajsinhparmar/rna-starter-submission", "kernel_id": "44069322"}, {"ref": "kirtirajsinhparmar/srrf-transformer-tpu-inference", "kernel_id": "44986991"}, {"ref": "arnoldbhebhe/rna-structure-prediction-eda-and-bpps", "kernel_id": "44742948"}, {"ref": "ppb00x/visualizing-sequences", "kernel_id": "44988161"}, {"ref": "yousofnanis/train-data-file-in-parquet-format-insteda", "kernel_id": "44821309"}, {"ref": "alvrod/stanford-ribonanza-rna-folding-ari", "kernel_id": "44749686"}, {"ref": "rgieseking/ribonanza-baseline-average-per-nucleotide-acgu", "kernel_id": "44147641"}, {"ref": "laetitialanfranchi/transformer-with-sliding-window", "kernel_id": "44663962"}, {"ref": "ahmedelsayed01/simple-cnn", "kernel_id": "44668069"}, {"ref": "adityad23/rna-structure-prediction", "kernel_id": "44398634"}, {"ref": "fnands/to-parquet", "kernel_id": "45633226"}, {"ref": "usharengaraju/keras-grownet-w-b", "kernel_id": "45079686"}, {"ref": "something4kag/ribonanza-3d-coords-prep", "kernel_id": "45513374"}, {"ref": "something4kag/ribonanza-3d-coords-using-prep", "kernel_id": "45523239"}, {"ref": "konohayui/topological-methods-for-higher-dimensional-data", "kernel_id": "45321362"}, {"ref": "callmeb/signal-to-noise-changes", "kernel_id": "45321740"}, {"ref": "liuyanfeng/stanford-rrf-tensorflow-tpu", "kernel_id": "45710921"}, {"ref": "shujun717/ribonanza-starter", "kernel_id": "45324115"}, {"ref": "josephkibira/stanford-ribonanza-rna-folding-notebook", "kernel_id": "45102283"}, {"ref": "julianmacnamara/stanford-rna-folding-competition-v0-1", "kernel_id": "45202626"}, {"ref": "rhijudas/example-rmdb-data-readin", "kernel_id": "45989801"}, {"ref": "jeffreyesedo/1st-ribo-note", "kernel_id": "45009364"}, {"ref": "venkatapadavala/rna-fm", "kernel_id": "45970123"}, {"ref": "shlomoron/srrf-reactivity-errors", "kernel_id": "45209660"}, {"ref": "santanubanerjee9/stanford-ribonanza-rna-folding", "kernel_id": "45614360"}, {"ref": "pourianozari/notebook2f201dc739", "kernel_id": "45846725"}, {"ref": "sidneytiagosilva/rna-encoder-decoder", "kernel_id": "45015564"}, {"ref": "jay00hwang/rna-tensorflow-training", "kernel_id": "45037400"}, {"ref": "pikaaa/predicts-the-structures-of-rna", "kernel_id": "45422674"}, {"ref": "kolapoadedipe/rna-science-computational-environment", "kernel_id": "45593675"}, {"ref": "jordanyoung993/sequence-images-cnn", "kernel_id": "45357940"}, {"ref": "jordanyoung993/cnn-submission", "kernel_id": "45844421"}, {"ref": "tattaka/contrafold-train-bpps-0-300000", "kernel_id": "46885788"}, {"ref": "tattaka/contrafold-test-bpps-0-500000", "kernel_id": "46924902"}, {"ref": "tattaka/contrafold-test-bpps-500000-1000000", "kernel_id": "46925840"}, {"ref": "tattaka/contrafold-test-bpps-1000000", "kernel_id": "46925934"}, {"ref": "tattaka/contrafold-train-bpps-300000-600000", "kernel_id": "46907655"}, {"ref": "tattaka/contrafold-train-bpps-600000", "kernel_id": "46907692"}, {"ref": "vinitkp/srrf-transformer-tpu-training", "kernel_id": "46746232"}, {"ref": "vinitkp/rna-folding", "kernel_id": "46899362"}, {"ref": "liuyanfeng/stanford-rrf-tensorflow-training-tpu", "kernel_id": "46073922"}, {"ref": "tavoglc/testing-different-sequence-encodings", "kernel_id": "46724664"}, {"ref": "tavoglc/3dconvolution-for-reactivity-prediction", "kernel_id": "46792040"}, {"ref": "mirenaborisova/srrnaf-1", "kernel_id": "46191116"}, {"ref": "mirenaborisova/srrnaf-2", "kernel_id": "46317212"}, {"ref": "alberteinsten/so-what-do-i-have-to-do-srrf-edition", "kernel_id": "46055286"}, {"ref": "bingchenzhao/notebook9eab9ae984", "kernel_id": "46088804"}, {"ref": "venkatapadavala/rnacentral-rna-sequence-20m", "kernel_id": "46699646"}, {"ref": "abhinavraj111/basic-xg-boost-for-rna-computing", "kernel_id": "46979617"}, {"ref": "konstantinboyko/generating-a-dataset-with-structure-field", "kernel_id": "46732346"}, {"ref": "konstantinboyko/convert-original-csv-file-to-tfrecord", "kernel_id": "46097651"}, {"ref": "rgismeyssonnier/notebook-stanford-ribonanza-solution", "kernel_id": "46075568"}, {"ref": "pranshubahadur/esm2-rmdb-rna-dataset", "kernel_id": "46062575"}, {"ref": "tltommu/rna-starter-submission", "kernel_id": "46463706"}, {"ref": "weiooocn/tpu-002", "kernel_id": "46856963"}, {"ref": "weiooocn/srrf-transformer-tpu-training", "kernel_id": "46827529"}, {"ref": "horikitasaku/check-the-distribution-of-outliers-and-0-values", "kernel_id": "46314029"}, {"ref": "jainam213/fork-of-transformer-with-sliding-window", "kernel_id": "46621178"}, {"ref": "bhanupratapbiswas/stanford-ribonanza-rna-folding-01", "kernel_id": "46874602"}, {"ref": "enriquezaf/shared-sequences-between-training-set-public-lb", "kernel_id": "46361727"}, {"ref": "alenasheveleva/dnabert-regression-head", "kernel_id": "46981779"}, {"ref": "dhruvdhilla/rotary-embeddings-infrence", "kernel_id": "46976068"}, {"ref": "cormacwc/compare-tranformers", "kernel_id": "46963235"}, {"ref": "often21/using-transformer-and-predict-rna-reactivity", "kernel_id": "46499557"}, {"ref": "tavoglc/from-sequence-to-2d-structure-with-3d-convolution", "kernel_id": "47082676"}, {"ref": "tavoglc/3d-structure-and-convolutions-for-rna-data", "kernel_id": "47023357"}, {"ref": "mirenaborisova/srrnaf-8", "kernel_id": "47391018"}, {"ref": "mirenaborisova/srrnaf-9", "kernel_id": "47405642"}, {"ref": "mirenaborisova/srrnaf-10", "kernel_id": "47457810"}, {"ref": "mirenaborisova/srrnaf-7", "kernel_id": "47303888"}, {"ref": "mirenaborisova/srrnaf-6", "kernel_id": "47300450"}, {"ref": "mirenaborisova/srrnaf-4", "kernel_id": "47184445"}, {"ref": "mirenaborisova/srrnaf-5", "kernel_id": "47239497"}, {"ref": "ranamudassarrasool/notebook96b1cf453d", "kernel_id": "47129844"}, {"ref": "yasinadyaman/separateinferencesliding", "kernel_id": "47460535"}, {"ref": "abhinavraj111/another-rna-modelling-with-viennarna", "kernel_id": "47477501"}, {"ref": "konstantinboyko/with-noise-or-without-that-is-the-question-0-1546", "kernel_id": "47097255"}, {"ref": "konstantinboyko/experiments-on-data-preparation-and-cleaning", "kernel_id": "47086111"}, {"ref": "lauraromar/rna-tmodel", "kernel_id": "47242953"}, {"ref": "sacuscreed/bpp-emb-inference", "kernel_id": "47239858"}, {"ref": "sacuscreed/bpp-emb-train-0-17894", "kernel_id": "47484264"}, {"ref": "bocatadecalamares/train-ribonanza-transformers", "kernel_id": "47306005"}, {"ref": "tantarobi/engineer-nobel-prize-proj2-proj2-proj2", "kernel_id": "47892053"}, {"ref": "shlomoron/srrf-solution-1-csv-to-np", "kernel_id": "48273685"}, {"ref": "shlomoron/srrf-solution-2-tfrecords", "kernel_id": "48281367"}, {"ref": "shlomoron/srrf-soltion-3-model-training", "kernel_id": "48310363"}, {"ref": "dinisipahutar/kelompok-11-stanford-ribonanza-rna-folding-knn", "kernel_id": "48055840"}, {"ref": "satilmiskabasakal/esm2-rmdb-rna-dataset", "kernel_id": "48067229"}, {"ref": "kanimozhinatarajan/stanford-ribonanza-rna-folding", "kernel_id": "53173591"}, {"ref": "lihongmin/rna-folding-ribonanzanet-inference", "kernel_id": "55336405"}, {"ref": "kyomikyomi/notebook1cd8d65216", "kernel_id": "59049342"}, {"ref": "kyomikyomi/copy-rna-starter-submission", "kernel_id": "60772878"}, {"ref": "kyomikyomi/copy-rna-starter-notebook", "kernel_id": "60576456"}, {"ref": "siannc/gru-seul", "kernel_id": "67047470"}, {"ref": "mpwolke/pyrococcus-furiosus-fireball-eternafold", "kernel_id": "77560191"}, {"ref": "tomooinubushi/convert-stanford-ribonanza-rna-folding-dataset", "kernel_id": "78484155"}, {"ref": "dynamo14324/ribonanza-tm-score-basic-analysis", "kernel_id": "84377498"}, {"ref": "mdferozahmedafm/transformer-based-rna-reactivity-prediction", "kernel_id": "87119038"}, {"ref": "prtmghsh/rna-structure-understanding", "kernel_id": "88370341"}, {"ref": "kaniobed/rna-structure-prediction-performance-analysis", "kernel_id": "106302703"}, {"ref": "mehyarmlaweh/rhofold-on-das14rna-benchmarkdataset", "kernel_id": "106880539"}, {"ref": "zumermalik/rna-3d-folding-graph-based-sequence-to-structure", "kernel_id": "115841869"}]}
{"competition_id": "51306", "kernels": [{"ref": "n8srumsey/sp23-week-2-intro", "kernel_id": "37186835"}, {"ref": "n8srumsey/sp23-week-4-transfer-learning", "kernel_id": "37483167"}, {"ref": "n8srumsey/sp23-week-3-data-augmentation", "kernel_id": "37480987"}, {"ref": "n8srumsey/sp23-week-7-cross-validation", "kernel_id": "38666921"}, {"ref": "n8srumsey/sp23-week-5-caching-transfer-learning", "kernel_id": "38092521"}]}
{"competition_id": "51314", "kernels": []}
{"competition_id": "51356", "kernels": []}
{"competition_id": "51380", "kernels": []}
{"competition_id": "51414", "kernels": [{"ref": "genius98/new-skeleton-code", "kernel_id": "37234762"}, {"ref": "jihyunn/new-skeleton-code", "kernel_id": "37280524"}]}
{"competition_id": "51457", "kernels": [{"ref": "gsumanth7/sample-submission", "kernel_id": "37271086"}]}
{"competition_id": "51504", "kernels": [{"ref": "massivedatamining/project-1-example", "kernel_id": "38464399"}, {"ref": "massivedatamining/cs3319-02-project-example", "kernel_id": "38462441"}, {"ref": "peanutash/skip-gcn", "kernel_id": "39576764"}]}
{"competition_id": "51514", "kernels": []}
{"competition_id": "51532", "kernels": []}
{"competition_id": "51542", "kernels": []}
{"competition_id": "51549", "kernels": [{"ref": "mpwolke/gdsc-nsut-eda-fe", "kernel_id": "37339797"}, {"ref": "cykadyy/regression-proj", "kernel_id": "37629739"}]}
{"competition_id": "51557", "kernels": []}
{"competition_id": "51568", "kernels": []}
{"competition_id": "51570", "kernels": []}
{"competition_id": "51583", "kernels": []}
{"competition_id": "51661", "kernels": []}
{"competition_id": "51667", "kernels": [{"ref": "alirezaatashnejad/house-price-prediction", "kernel_id": "37472179"}, {"ref": "essamremon/notebook0bae481da0", "kernel_id": "136046331"}]}
{"competition_id": "51668", "kernels": []}
{"competition_id": "51674", "kernels": [{"ref": "manavgupta92/car-price-prediction-easy-and-simple", "kernel_id": "38614729"}]}
{"competition_id": "51753", "kernels": [{"ref": "inversion/visualizing-contrails", "kernel_id": "37786646"}, {"ref": "inversion/contrails-rle-submission", "kernel_id": "37725288"}, {"ref": "mpware/ic-rgw-basic-eda", "kernel_id": "38807268"}, {"ref": "hsdistefa/contrails-naive-submission", "kernel_id": "38452383"}, {"ref": "docxian/contrails-metadata", "kernel_id": "38383919"}, {"ref": "phoenix9032/inference-unet-effnetb0-on-ash-v2-baseline", "kernel_id": "38942789"}, {"ref": "stpeteishii/contrails-data-view", "kernel_id": "38766224"}, {"ref": "ksmcg90/dummy-sub", "kernel_id": "38690152"}, {"ref": "proteekchaudhuri/unet-model-creation-and-submission-w-tensorflow", "kernel_id": "38629885"}, {"ref": "mpwolke/contrails-impact-on-global-warming", "kernel_id": "38374804"}, {"ref": "edomingo/identify-contrails-quick-file-exploration", "kernel_id": "38373232"}, {"ref": "dinowun/eda-simplified-identifying-contrails-en-zh", "kernel_id": "38362511"}, {"ref": "alabibojesomo/extreme-dataset-and-sample-loading-for-contrails", "kernel_id": "38557809"}, {"ref": "leonidkulyk/eda-ic-to-rgw-preprint-insights-vis", "kernel_id": "38363687"}, {"ref": "thomasrochefort/contrails-pytorch-dataloader-example", "kernel_id": "38373726"}, {"ref": "jirkaborovec/contrails-eda-interactive-viewer", "kernel_id": "38390791"}, {"ref": "shinyatakaramoto/contrails-eda", "kernel_id": "38824815"}, {"ref": "mushfirat/gric-eda-baseline-submit", "kernel_id": "38977689"}, {"ref": "tegarsatriya/where-s-the-contrails", "kernel_id": "38888370"}, {"ref": "sergiosaharovskiy/google-contrails-2023-eda", "kernel_id": "38416221"}, {"ref": "vpatryk/contrails-eda", "kernel_id": "38797801"}, {"ref": "srilaasyakandukuri/global-warming", "kernel_id": "38839948"}, {"ref": "myso1987/ic2rgw-pytorch-baseline-train-inference", "kernel_id": "38846816"}, {"ref": "aditya9790/contrails-detection-eda", "kernel_id": "38846939"}, {"ref": "lupin11/40min-data-preprocess", "kernel_id": "38808277"}, {"ref": "lupin11/u-net-baseline-training", "kernel_id": "38830772"}, {"ref": "lupin11/u-net-baseline-inference", "kernel_id": "38902155"}, {"ref": "pranavnadimpali/comprehensive-eda-submission", "kernel_id": "38605467"}, {"ref": "soumyadeepkhandual/essentials-dataloader-plots-metrics-submission", "kernel_id": "38381825"}, {"ref": "soumyadeepkhandual/unet-trained-weights", "kernel_id": "38394766"}, {"ref": "soumyadeepkhandual/superfast-dataloading", "kernel_id": "38523868"}, {"ref": "patchef/hdf5-dataset-google-contrails-v2", "kernel_id": "38487671"}, {"ref": "alewep/competition-google-contrails", "kernel_id": "38594301"}, {"ref": "peshaladushyanthika/google-research", "kernel_id": "38702153"}, {"ref": "mnokno/getting-started-eda-model-train-submit", "kernel_id": "38985864"}, {"ref": "aryangarg01/submission-deeplabv3-on-ash-images-for-contrails", "kernel_id": "38490652"}, {"ref": "melgor/benchmark-numpy-vs-jpeg", "kernel_id": "39765724"}, {"ref": "tmyok1984/segmentation-models-pytorch-offline-installer", "kernel_id": "39606436"}, {"ref": "fubusch/threshold-optimization", "kernel_id": "39585350"}, {"ref": "mawanda/mdice-metric-pure-pytorch", "kernel_id": "39580321"}, {"ref": "akshatg74/contrail-prediction", "kernel_id": "39807459"}, {"ref": "egortrushin/gr-icrgw-pytorch-lightning-baseline-unet-resnest", "kernel_id": "39875252"}, {"ref": "handeakn/finetune-segformer-pytorchlightning", "kernel_id": "39061000"}, {"ref": "piyush369/eda-train-baseline-google-contrails", "kernel_id": "39911501"}, {"ref": "shashwatraman/simple-unet-pytorch-baseline-train", "kernel_id": "39377443"}, {"ref": "shashwatraman/simple-unet-pytorch-baseline-infer", "kernel_id": "39539265"}, {"ref": "shashwatraman/contrails-dataset-ash-color", "kernel_id": "39534993"}, {"ref": "kalyansekhar07/pytorch-deeplabv3-model-with-submission", "kernel_id": "39269453"}, {"ref": "kalyansekhar07/submission-with-unet-score-0-516-0-519", "kernel_id": "39441857"}, {"ref": "egorfokin/contrails-tensorflow-train-submission-public", "kernel_id": "39570350"}, {"ref": "lupin11/labelsmoothing", "kernel_id": "39143224"}, {"ref": "lupin11/presentation", "kernel_id": "39473001"}, {"ref": "lupin11/weight-maps-for-better-boundaries", "kernel_id": "39926951"}, {"ref": "lupin11/ensemble-u-net-2-lb-0-626", "kernel_id": "39964772"}, {"ref": "lupin11/dualthresholds", "kernel_id": "39862800"}, {"ref": "giriprasad512/contrails-preprocessing-with-hsv", "kernel_id": "39768390"}, {"ref": "manishkumar7432698/baseline-ml-score-0-413", "kernel_id": "39354476"}, {"ref": "byungeunhwang/eda-ic-to-rgw-with-comments-added", "kernel_id": "39973384"}, {"ref": "byungeunhwang/simple-unet-baseline-with-comments-added", "kernel_id": "39970310"}, {"ref": "janmpia/visualise-all-images-targets", "kernel_id": "39610353"}, {"ref": "janhuebi/unet-pytorch-baseline-lb-0-608-training", "kernel_id": "39565942"}, {"ref": "janhuebi/unet-pytorch-baseline-lb-0-608-submission", "kernel_id": "39566098"}, {"ref": "pranavatote/contrail-image-segmentation", "kernel_id": "39335957"}, {"ref": "theadig/aditya", "kernel_id": "39262637"}, {"ref": "kaudal/contrail-analysis001", "kernel_id": "40134247"}, {"ref": "c14103/lb-0-647-trainer-v1", "kernel_id": "40808190"}, {"ref": "yumemita/predict-unet", "kernel_id": "40165199"}, {"ref": "crustacean/fastai-baseline", "kernel_id": "40788755"}, {"ref": "crustacean/wip-fastai-baseline", "kernel_id": "40695201"}, {"ref": "junkoda/contrails-submit", "kernel_id": "40586639"}, {"ref": "cmsm12/contrails-mmsegmentation-dataset-notebook", "kernel_id": "40894730"}, {"ref": "utm529fg/gr-icrgw-pl-pipeline-improved-0-649", "kernel_id": "40179214"}, {"ref": "joebeachcapital/lb-0-653-pl-pipeline-improved-gr-icrgw", "kernel_id": "40740242"}, {"ref": "wuliaokaola/icrgw-train-multi-512-f5-efv2l-3d-ups-0706", "kernel_id": "40759520"}, {"ref": "wuliaokaola/icrgw-train-single-ash-768-512-efv2l-0617", "kernel_id": "40072000"}, {"ref": "wuliaokaola/icrgw-train-single-256-efv2l-3d-0620", "kernel_id": "40199693"}, {"ref": "egortrushin/gr-icrgw-training-with-4-folds", "kernel_id": "40161796"}, {"ref": "egortrushin/gr-icrgw-pl-pipeline-improved", "kernel_id": "40068950"}, {"ref": "hideyukizushi/contrails-sample-libinstall-internet-off", "kernel_id": "40563174"}, {"ref": "vipin20/google-reseach-identify-contrails-pytorch", "kernel_id": "40711193"}, {"ref": "readoc/chemtrails-composer-model-train", "kernel_id": "40538748"}, {"ref": "readoc/composer-algorithms", "kernel_id": "40734571"}, {"ref": "welshonionman/dataset-ashcolor-4labels", "kernel_id": "40839761"}, {"ref": "welshonionman/gr-icrgw-training-with-ashcolor-4labels", "kernel_id": "40842221"}, {"ref": "takaito/gr-icrgw-make-table-data", "kernel_id": "40088695"}, {"ref": "bibanh/lb-0-623-resnet26d-unet-inference", "kernel_id": "40100798"}, {"ref": "bibanh/lb-0-623-resnet26d-unet-training", "kernel_id": "40091370"}, {"ref": "zilinghuang88/presto", "kernel_id": "40740799"}, {"ref": "askarthikeyan/visualisationofcontrails", "kernel_id": "40531010"}, {"ref": "jarthurs/identify-contrails-under-construction", "kernel_id": "40813097"}, {"ref": "lilac07/contrail-detection", "kernel_id": "40086800"}, {"ref": "royalacecat/pesudo-shake-shake-up", "kernel_id": "40221955"}, {"ref": "adilhabib/visualizing-contrails", "kernel_id": "40997102"}, {"ref": "giriprasad512/post-processing-with-cca", "kernel_id": "40626456"}, {"ref": "giriprasad512/contrails-preprocessing-meanshift", "kernel_id": "40337868"}, {"ref": "giriprasad512/contrails-preprocessing-with-img-gradients", "kernel_id": "40338371"}, {"ref": "giriprasad512/contrails-preprocessing-low-pass-filters", "kernel_id": "40308775"}, {"ref": "manishkumar7432698/google-reseach-baseline-pytorch", "kernel_id": "40162717"}, {"ref": "patimejia/contrail-animation-with-mask-overlaid", "kernel_id": "40867395"}, {"ref": "patimejia/goes16-contrail-rle-encoding-submission", "kernel_id": "40829375"}, {"ref": "patimejia/utils-directory-tree-generator", "kernel_id": "40777418"}, {"ref": "vishakkbhat/gr-icrgw-training-with-4-folds", "kernel_id": "40438764"}, {"ref": "anitakarsa/np-load-memory-leak-example", "kernel_id": "40049282"}, {"ref": "bhanupratapbiswas/identify-contrails-to-reduce-global-warming", "kernel_id": "40596405"}, {"ref": "pranavatote/google-contrail-model-tranning", "kernel_id": "40589277"}, {"ref": "ryuheitakanaka/unet-optim-adam", "kernel_id": "40157676"}, {"ref": "tomlqc/identify-contrails-with-tensorflow-keras", "kernel_id": "40791921"}, {"ref": "ding036outlookcom/gr-icrgw-training-with-4-folds", "kernel_id": "40544612"}, {"ref": "patutoes/tcn-unet", "kernel_id": "40027275"}, {"ref": "blaineheffron/contrail-dataset-creation", "kernel_id": "40474916"}, {"ref": "blaineheffron/tf-contr-ds-2", "kernel_id": "40885796"}, {"ref": "kaudal/contrails-detection-model-dev", "kernel_id": "41239061"}, {"ref": "tascj0/contrail-submit", "kernel_id": "41935377"}, {"ref": "allunia/potential-leakage-between-folds-and-test", "kernel_id": "41152446"}, {"ref": "gauravbrills/gr-icrgw-unet-7folds", "kernel_id": "41901553"}, {"ref": "crustacean/inference-fastai-baseline", "kernel_id": "41021160"}, {"ref": "junkoda/base-unet-model-for-the-1st-place", "kernel_id": "41965105"}, {"ref": "ryches/rescaling-exercise", "kernel_id": "41607016"}, {"ref": "orkatz2/team-ensemble-notebook-v3", "kernel_id": "41842468"}, {"ref": "mayurimk/temporal-contrail-dataloader", "kernel_id": "41825281"}, {"ref": "mayurimk/master-v5-temporal-contrail-detection", "kernel_id": "41926802"}, {"ref": "tattaka/contrail-submission-ensemble", "kernel_id": "41584589"}, {"ref": "wuliaokaola/icrgw-submit-ens-5-0809", "kernel_id": "41901454"}, {"ref": "wuliaokaola/icrgw-train-multi-512-480-f5-efv2l-3d-ups-0706-s4", "kernel_id": "41872211"}, {"ref": "wuliaokaola/icrgw-train-multi-512-480-f5-efv2l-3d-ups-0706-s3", "kernel_id": "41843710"}, {"ref": "wuliaokaola/icrgw-submission-single-model-lb-0-714-5th-place", "kernel_id": "41985931"}, {"ref": "wuliaokaola/icrgw-train-multi-512-480-f5-efv2l-3d-ups-0706-s2", "kernel_id": "41770989"}, {"ref": "wuliaokaola/icrgw-train-single-ash-512-480-efv2l-0804", "kernel_id": "41738806"}, {"ref": "wuliaokaola/icrgw-train-single-ash-768-512-efv2l-0617-s3", "kernel_id": "41236624"}, {"ref": "vinitkp/identify-contrails", "kernel_id": "41462629"}, {"ref": "theoviel/contrails-inference-comb", "kernel_id": "41723740"}, {"ref": "mathjulian/pl-from-zero-to-hero-beginner-friendly", "kernel_id": "41640775"}, {"ref": "raki21/multi-scale-ensembler-inference", "kernel_id": "41674727"}, {"ref": "raki21/contrails-dataset-ash-band08-with-soft-mask", "kernel_id": "41762815"}, {"ref": "raki21/time-step-visualization", "kernel_id": "41818518"}, {"ref": "raki21/exploring-optimal-bands-for-contrail-detection", "kernel_id": "41803337"}, {"ref": "hideyukizushi/contrails-infv12-blend-bbb-z415-plv3cc2x2-0-65", "kernel_id": "41920596"}, {"ref": "bencetar/contrail-dataset-preprocess", "kernel_id": "41492746"}, {"ref": "teyosan1229/contrails-calc-oof-cv", "kernel_id": "41872477"}, {"ref": "jordibeltranperello/model-predictions-visualization-test-dice-0-66", "kernel_id": "41269360"}, {"ref": "takaito/gr-icrgw-takaito-solution", "kernel_id": "41956693"}, {"ref": "tomokihirose/visualize-metadata-by-convert-to-lat-lon", "kernel_id": "41451505"}, {"ref": "abdulkadirguner/09agu-ensemble-submission", "kernel_id": "41940772"}, {"ref": "dominicimbuga/impact-on-climate-change", "kernel_id": "41910509"}, {"ref": "gamryeol/contrail", "kernel_id": "41497540"}, {"ref": "suraj520/manet-multi-attention-network-for-remote-sensing", "kernel_id": "41612627"}, {"ref": "sahilsg/find-duplicate-image-with-phash", "kernel_id": "41320160"}, {"ref": "sahilsg/find-duplicate-image-with-cnn", "kernel_id": "41320338"}, {"ref": "binarybeast880/gr-icrgw-pl-pipeline-improved-034b9d", "kernel_id": "41701499"}, {"ref": "waechter/identify-contrails-eda-train-pseudolabel", "kernel_id": "41464849"}, {"ref": "gobyeonggeon/tensorflow-unet-mobilenet", "kernel_id": "41256494"}, {"ref": "lancelot03/notebook62e2f76f98", "kernel_id": "41255169"}, {"ref": "janwaller/model-trained-on-masks-linknet", "kernel_id": "41440038"}, {"ref": "holmes0610/contrails-training", "kernel_id": "41649934"}, {"ref": "holmes0610/eda-visualizing-contrails", "kernel_id": "41920338"}, {"ref": "shailjakanttiwari/google-research-pytorch-lightning-models", "kernel_id": "41683803"}, {"ref": "shailjakanttiwari/google-research-tensorflow-base-model", "kernel_id": "41616902"}, {"ref": "shailjakanttiwari/google-research-torch-base-model", "kernel_id": "41358946"}, {"ref": "shailjakanttiwari/google-research-torch-segmentation-models", "kernel_id": "41392387"}, {"ref": "patimejia/contrails-stats-histograms", "kernel_id": "41347100"}, {"ref": "fynnjunge/contrails-apply-model-on-all-timesteps", "kernel_id": "41299036"}, {"ref": "peterpham0220/deeplabv3-unet-cnn-pspnet", "kernel_id": "41656432"}, {"ref": "yoichi7yamakawa/later-sub-y-223-227v2-241-237-240-234-228etc", "kernel_id": "42352268"}, {"ref": "selimsef/kdl-unet-768-inference-contrails", "kernel_id": "42167239"}, {"ref": "wuliaokaola/icrgw-create-tfrec-single-ash-0812", "kernel_id": "42027376"}, {"ref": "wuliaokaola/icrgw-create-tfrec-multi-ash-0812", "kernel_id": "42027454"}, {"ref": "raki21/adjusted-dice-loss-for-soft-labels", "kernel_id": "42382891"}, {"ref": "raki21/shifted-ash-dataset-creation-0-5-pixels", "kernel_id": "42402054"}, {"ref": "raki21/contrails-train", "kernel_id": "42427724"}, {"ref": "bencetar/contrail-segmentation-tensorflow", "kernel_id": "42897869"}, {"ref": "ammarahmadqazi/private-v-s-public-lb-data-google-research", "kernel_id": "42227161"}, {"ref": "tonymarkchris/base-unet-model-google-research", "kernel_id": "42368816"}, {"ref": "nirob5315/visualizing-contrails", "kernel_id": "42282887"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "shahriarahmed/notebookfeac8faf31", "kernel_id": "42434591"}, {"ref": "nberretti/identifying-contrails-initial-model-local", "kernel_id": "43058475"}, {"ref": "sohithbandari/identify-contrails-fcn", "kernel_id": "43196529"}, {"ref": "vibhorsharma111/eda-model-train-submit", "kernel_id": "43895292"}, {"ref": "robindiligent/exploring-dataset", "kernel_id": "43058229"}, {"ref": "robindiligent/visualizing-contrails-with-vizualization-output", "kernel_id": "43318898"}, {"ref": "kaichixie/extract-contrail-training-set", "kernel_id": "47282706"}, {"ref": "denslinnunes/maxvit-unet-contrails", "kernel_id": "49557276"}, {"ref": "bimalsah/notebook374f941340", "kernel_id": "50037211"}, {"ref": "orhankahraman/contrail-detection", "kernel_id": "68923384"}, {"ref": "rkeertishkumar/simple-unet-pytorch-baseline-train", "kernel_id": "72832755"}, {"ref": "minhhoiphan/contrails-submit", "kernel_id": "79860830"}, {"ref": "minhhoiphan/visualizing-contrails", "kernel_id": "79827650"}, {"ref": "chanduchevala/chandu-contrails", "kernel_id": "90677812"}, {"ref": "nishithapitigala/contrails-detection-21", "kernel_id": "95323363"}, {"ref": "caglarylmazzz/contrails-dataset-ash-color", "kernel_id": "102862736"}, {"ref": "caglarylmazzz/contrails-submit-e3da61", "kernel_id": "102888424"}, {"ref": "nicolashernandez1307/cap6415-contrail-project-submission", "kernel_id": "103672747"}, {"ref": "nicolashernandez1307/cap6415-contrail-project-training", "kernel_id": "103603639"}, {"ref": "guix12/xgw-contrails", "kernel_id": "106016664"}, {"ref": "akshitgarg077/kaggle1", "kernel_id": "111395005"}, {"ref": "anirudhpatel01/notebook5492f7fc44", "kernel_id": "111632122"}, {"ref": "orchidmantis/autods-contrails-baseline", "kernel_id": "122138632"}]}
{"competition_id": "51756", "kernels": []}
{"competition_id": "51757", "kernels": [{"ref": "jankuper192/churn-analyse-using-tidymodel", "kernel_id": "37721682"}, {"ref": "kuntalmaity/case-study-hackathon", "kernel_id": "37549618"}, {"ref": "mamtakhubchandani/telecom-churn-case-study-vfinal-mamta-pratik", "kernel_id": "38087855"}, {"ref": "abocadobaby/how-they-got-100-accuracy-it-s-cheating", "kernel_id": "39865997"}]}
{"competition_id": "51766", "kernels": []}
{"competition_id": "51774", "kernels": []}
{"competition_id": "51798", "kernels": []}
{"competition_id": "51847", "kernels": []}
{"competition_id": "51959", "kernels": [{"ref": "ranjeetshrivastav/playground-series-s3e9-catboost", "kernel_id": "35833647"}, {"ref": "phongnguyen1/a-framework-for-tabular-regression-e16-14-11", "kernel_id": "36319473"}, {"ref": "nancysamuel/pss-3-ep-14-eda", "kernel_id": "36534974"}, {"ref": "n3n77i/blueberry-set", "kernel_id": "38015444"}, {"ref": "setumoraphelakamatlou/prediction-of-wild-blueberry-yield", "kernel_id": "38252627"}, {"ref": "dplayer/ps3e14-linear-regression", "kernel_id": "38171656"}, {"ref": "dplayer/ps3e14-randomforest", "kernel_id": "38375179"}, {"ref": "dplayer/ps3e14-decision-tree", "kernel_id": "38327534"}, {"ref": "paddykb/ps-s3e14-flaml-bfi-be-bop-a-blueberry-do-dah", "kernel_id": "38065268"}, {"ref": "jankuper192/wild-blueberryyield-using-glm", "kernel_id": "38156223"}, {"ref": "scirpus/blueberry", "kernel_id": "38221598"}, {"ref": "adaubas/pss3e14-cv-lgbm-fe-decomposition", "kernel_id": "38408292"}, {"ref": "adaubas/fork-of-ps-s3e14-stacking-leastabsolutedeviatio", "kernel_id": "38501174"}, {"ref": "chemaplana/the-accountant-mudi-burusu", "kernel_id": "38321751"}, {"ref": "bjoernholzhauer/synthetic-data-generation-for-blueberry-yield", "kernel_id": "38207719"}, {"ref": "bjoernholzhauer/eda-in-r-for-blueberry-yield-prediction", "kernel_id": "38042763"}, {"ref": "cv13j0/a-simple-prediction-of-wild-blueberry-yield", "kernel_id": "38489700"}, {"ref": "astrung/catboost-optuna-autotuning-tutorial", "kernel_id": "38005257"}, {"ref": "nafizishtiaque/blueberry-yield-playground-series-3-14", "kernel_id": "38441078"}, {"ref": "skvrahul/notebookec650ec966", "kernel_id": "38561548"}, {"ref": "siukeitin/ps-s3e14-xgboost-with-pseudo-huber-loss", "kernel_id": "38449520"}, {"ref": "fennecus/s3e14-blueberry-yield-prediction-with-ensemble", "kernel_id": "38605532"}, {"ref": "docxian/ps-s3-e14-blueberry-yield-visuals-glm", "kernel_id": "38035644"}, {"ref": "docxian/ps-s3-e14-blueberry-yield-neuralnet", "kernel_id": "38194825"}, {"ref": "docxian/icr-visuals-lasso-model-in-r", "kernel_id": "38440964"}, {"ref": "datascientistsohail/wild-blueberry-yield-se03-ep014", "kernel_id": "38185462"}, {"ref": "chayaphatnicrothanon/lb-score-338-63-eda-catboost-lightgbm-kfolds", "kernel_id": "38485823"}, {"ref": "rishabhvijay/wild-blueberry-yield", "kernel_id": "38186813"}, {"ref": "slythe/pse3e14-1-eda-model-selection-regression", "kernel_id": "38018126"}, {"ref": "slythe/pse3e14-2-feature-creation-symbolic-tranformati", "kernel_id": "38059205"}, {"ref": "filipinogambino/wild-blueberry-yield-fastai", "kernel_id": "38031457"}, {"ref": "oscarm524/ps-s3-ep14-eda-modeling-submission", "kernel_id": "38003087"}, {"ref": "yzokulu/ps3e14-simple-lightgbm-regressor-with-cv", "kernel_id": "38109060"}, {"ref": "yzokulu/improved-score-with-avg-of-base-models-341-817", "kernel_id": "38014211"}, {"ref": "siddharthkumarsah/s3e14-playground-extensive-eda", "kernel_id": "38010342"}, {"ref": "siddharthkumarsah/s3e14-playground-solutions", "kernel_id": "38007193"}, {"ref": "kimtaehun/simple-eda-and-baseline-in-2mintues", "kernel_id": "38004836"}, {"ref": "naksungp/eda-baseline-chaps-error-anal-blueberry-best-berry", "kernel_id": "38197600"}, {"ref": "craigmthomas/play-s3e14-eda-models", "kernel_id": "38004186"}, {"ref": "behhhoui/predicting-wild-blueberry-yields", "kernel_id": "38662208"}, {"ref": "prakharprasad/blueberry-yield-select-k-best-features", "kernel_id": "38251289"}, {"ref": "jazivxt/synthetic-time-yield", "kernel_id": "38094996"}, {"ref": "ivanvaccari/catboost-regressor-with-hyper-optimization", "kernel_id": "38363909"}, {"ref": "bvijay74/wild-blueberry-yield", "kernel_id": "38557464"}, {"ref": "sofyantandungan/playground-series-s03e14-wild-blueberry", "kernel_id": "38192337"}, {"ref": "mmellinger66/ps3e14-blueberry-yield-eda-models", "kernel_id": "38198142"}, {"ref": "sachinkumar413/model", "kernel_id": "38302385"}, {"ref": "fzjld1994/basic-eda-s3e14", "kernel_id": "38178357"}, {"ref": "mpwolke/blueberry-yields-beethankful-forever", "kernel_id": "38041709"}, {"ref": "jitshil143/blueberry-yield", "kernel_id": "38256786"}, {"ref": "jaloeffe92/wby-distilbert", "kernel_id": "38190678"}, {"ref": "averma111/pytorch-ps-s3e14", "kernel_id": "38096790"}, {"ref": "averma111/ps3e14-pytorch-nn", "kernel_id": "38296192"}, {"ref": "averma111/pytorch-ps-s3e14-v1", "kernel_id": "38217266"}, {"ref": "uipkdzn/ps3e14-ensemble-pub-342-25098", "kernel_id": "38242416"}, {"ref": "uipkdzn/ps3e14-dataprep-pycaret-pub-356-75882", "kernel_id": "38158009"}, {"ref": "dongjun819/pgs314-eda-lgbm", "kernel_id": "38040886"}, {"ref": "williamhuybui/exploratory", "kernel_id": "38091141"}, {"ref": "deepaksolanki/quick-eda-baseline-models", "kernel_id": "38067669"}, {"ref": "acdundore/s3-e14-eda-tree-ensemble", "kernel_id": "38552554"}, {"ref": "kkhandekar/yield-prediction-compare-multiple-models", "kernel_id": "38379659"}, {"ref": "nandomartinez/not-today-overfitting-episode-14", "kernel_id": "38091851"}, {"ref": "nandomartinez/hello-episode-14-my-baseline", "kernel_id": "38044411"}, {"ref": "nedadarbeheshti/lightgbm-regressor4blueberries", "kernel_id": "38320428"}, {"ref": "keitashimizu21/eda-prediction-of-wild-blueberry-yield", "kernel_id": "38023057"}, {"ref": "amarloni/pgs3-e14", "kernel_id": "38066008"}, {"ref": "akioonodera/ps-3-14-lgbm-reg", "kernel_id": "38002779"}, {"ref": "kdmitrie/pgs320-the-shortest-solution-2", "kernel_id": "38013402"}, {"ref": "kdmitrie/pgs315-easy-use-of-h2o-automl", "kernel_id": "38088939"}, {"ref": "thomasrochefort/how-to-automatic-feature-selection", "kernel_id": "38174565"}, {"ref": "ashutoshojha/playground-s3-e14-second-submission", "kernel_id": "38179814"}, {"ref": "ashutoshojha/playground-s3-e14-baseline-submission", "kernel_id": "38137081"}, {"ref": "kubabutter/prediction-of-wild-blueberry-yield", "kernel_id": "38045742"}, {"ref": "ranjeetshrivastav/playground", "kernel_id": "38386368"}, {"ref": "dbmohit/prediction-of-wild-blueberry-yield", "kernel_id": "38257059"}, {"ref": "porrecasimone/s3e14-eda-model-explanability", "kernel_id": "38280604"}, {"ref": "tracyporter/play-3-14-tf-no-feature-pruning", "kernel_id": "38121340"}, {"ref": "tracyporter/play-3-14-tf", "kernel_id": "38068859"}, {"ref": "shadowdk/playground-s3e14", "kernel_id": "38007074"}, {"ref": "lenferdetroud/ps3e14-eda-various-models-ensemble-baseline", "kernel_id": "38062965"}, {"ref": "romrawinchumpu/ps-s3e14-wild-blueberry-yield-prediction", "kernel_id": "38399758"}, {"ref": "tolgaik/ps-s3-e14-modeling-score-341-92885", "kernel_id": "38026650"}, {"ref": "nolanmeyer/eda-and-submission-baseline-xgboost", "kernel_id": "38042339"}, {"ref": "shatabdi5/ps3e14-eda-regression", "kernel_id": "38250729"}, {"ref": "louisbunuel/play-314-lgbm", "kernel_id": "38112998"}, {"ref": "lovinggirls/research-on-blueberry-yield", "kernel_id": "38261086"}, {"ref": "lovinggirls/blueberry-yield-create-folds", "kernel_id": "38235476"}, {"ref": "lovinggirls/submission-baseline-1", "kernel_id": "38235730"}, {"ref": "zhukovoleksiy/ps-s3e14-simple-eda-ensemble", "kernel_id": "38089507"}, {"ref": "vishweshhampali/ps-s3e14-linear-regression", "kernel_id": "38011413"}, {"ref": "sergiosaharovskiy/ps-s3e14-2023-eda-and-submission", "kernel_id": "38004872"}, {"ref": "sergiosaharovskiy/ps-s3e14-2023-first-place-winning-solution", "kernel_id": "38577059"}, {"ref": "collinsakal/blueberries-optuna-catboost-baseline", "kernel_id": "38003013"}, {"ref": "starkandroid/blueberries-fastai-way-eda-data-cleaning-models", "kernel_id": "38087581"}, {"ref": "baokar7/ps-s3e14-eda-with-baseline-xgb", "kernel_id": "38011363"}, {"ref": "mohammadrazeghi/s03e14-simple-eda-baseline", "kernel_id": "38009756"}, {"ref": "olemagnushiback/simple-prediction-with-tensorflow", "kernel_id": "38252742"}, {"ref": "testanother/lasso-regressor-with-parameter-tuning-369-score", "kernel_id": "38515871"}, {"ref": "jeremyhaakenson/blueberry-xgboost-in-r", "kernel_id": "38378789"}, {"ref": "jeremyhaakenson/blueberry-robust-regression", "kernel_id": "38284493"}, {"ref": "jimgruman/wild-blueberry-yield", "kernel_id": "38267858"}, {"ref": "boydwerkman/xgboost-eda-feature-engineering-prediction", "kernel_id": "38358822"}, {"ref": "jocelyndumlao/blueberry-synthetic-data-analysis", "kernel_id": "38424906"}, {"ref": "tetsutani/ps3e14-eda-various-models-ensemble-baseline", "kernel_id": "38033827"}, {"ref": "hugolearn/s3e14", "kernel_id": "38069190"}, {"ref": "wasshoiwasshoi/ps-s3e14-eda-and-lightgbm-baseline-en-jp", "kernel_id": "38046577"}, {"ref": "shubhamgupta012/simple-linear-regression-ps3e14-prediction-of-wild", "kernel_id": "38563657"}, {"ref": "shuvojitdas/prediction-of-blueberry-yield", "kernel_id": "38364914"}, {"ref": "brian925/prediction-of-wild-blueberry-yield", "kernel_id": "38429299"}, {"ref": "jahidul99/berry-yield", "kernel_id": "38294398"}, {"ref": "jahidul99/yield-tf", "kernel_id": "38517671"}, {"ref": "amyrmahdy/data-driven-blueberry-yield-forecasting", "kernel_id": "38412702"}, {"ref": "borandabak/lgbm-with-new-features", "kernel_id": "38396590"}, {"ref": "yuvannabawa/wild-blueberry", "kernel_id": "38061961"}, {"ref": "blessingumoru/playgroundseries-s3-e14-wildberry-yield-gb-pca", "kernel_id": "38130126"}, {"ref": "erfansobhaei/wild-blueberry-yield", "kernel_id": "38018581"}, {"ref": "barbagrande007/bbg-s3e14-blueberries", "kernel_id": "38010782"}, {"ref": "bhuvanagayathri/prediction-of-blueberry-yield-using-regression", "kernel_id": "38064939"}, {"ref": "act18l/pss3e14-stack-model", "kernel_id": "38333883"}, {"ref": "jakubrogulski/basic-eda-model", "kernel_id": "38012913"}, {"ref": "jakubrogulski/pytorch-model", "kernel_id": "38065889"}, {"ref": "jakubrogulski/ps3e14-training-nns-with-pytorch", "kernel_id": "38260675"}, {"ref": "ravi20076/playgrounds3e14-eda-baseline", "kernel_id": "38101954"}, {"ref": "sujaykapadnis/ps-s3e14-baseline-fd", "kernel_id": "38338120"}, {"ref": "jineeshkb/simple-convolution-neural-network-approach", "kernel_id": "38471741"}, {"ref": "maharaja95/random-forest-369-5114", "kernel_id": "38468780"}, {"ref": "drrajkulkarni/wild-blueberry-yield-lgbm", "kernel_id": "38570676"}, {"ref": "bianchimario/blueberry-yield-ps-s3-e14-regressors", "kernel_id": "38162095"}, {"ref": "greenloh/base-ensemble-public-342-282", "kernel_id": "38101923"}, {"ref": "alymohamed01/practice-blueberry-yield", "kernel_id": "38547095"}, {"ref": "meghanachebolu/blueberry-01", "kernel_id": "38939663"}, {"ref": "rakgyunim/simple-pytorch-trial", "kernel_id": "38021338"}, {"ref": "konhugo/blue-berries", "kernel_id": "38852339"}, {"ref": "klyushnik/episode-14", "kernel_id": "38066625"}, {"ref": "demko1/s3e13-hybrid-like-model", "kernel_id": "38034030"}, {"ref": "phanendrasairam/s3e14-blueberryyield", "kernel_id": "38584955"}, {"ref": "dhananjaykumarravi/pytorch-ps-s3e14", "kernel_id": "38113260"}, {"ref": "scodepy/yield-prediction-xgboost", "kernel_id": "38561811"}, {"ref": "scodepy/pytorch-journey-to-predict-wild-yield", "kernel_id": "38532250"}, {"ref": "iniyatj/ps-s3e14-a-beginner-guide-ensemble-technique", "kernel_id": "38122656"}, {"ref": "hemakarapu/prediction-wild-blueberry-yield", "kernel_id": "38068002"}, {"ref": "mwaseem75/lightgbm-regressor-with-cv", "kernel_id": "38530167"}, {"ref": "wakanaanada/notebook676ee7c0e5", "kernel_id": "38225227"}, {"ref": "onurkoc83/xgboost-cv-346-sub-347-92", "kernel_id": "38474350"}, {"ref": "lorisdeluca/playgrounds3e14-eda-and-xgboost-is-all-you-need", "kernel_id": "38365725"}, {"ref": "qiaoningchen/huberregressor-or-ridge-ensemble", "kernel_id": "38356721"}, {"ref": "qiaoningchen/wildberryyield-ridge-ensemble-local-cv-310-825", "kernel_id": "38275767"}, {"ref": "qiaoningchen/wildblueberry-ridge-huber-lad-ensemble", "kernel_id": "38926993"}, {"ref": "rzatemizel/a-late-baseline-guide-to-stacking-pipeline", "kernel_id": "38239450"}, {"ref": "rzatemizel/sklearn-pipeline-with-flaml", "kernel_id": "38325284"}, {"ref": "qingyuanyu/iforest-xgb-predict-blueberry-yield", "kernel_id": "38157743"}, {"ref": "sahilkumar101/ps3e14-nn-baseline", "kernel_id": "38026314"}, {"ref": "suvarnayandapalli/prediction-of-blueberry-yield", "kernel_id": "38882598"}, {"ref": "zonwie/s3e14-beginner-decisiontree", "kernel_id": "38086089"}, {"ref": "patriciabrezeanu/ps3e14-fe-and-catboost", "kernel_id": "38013999"}, {"ref": "jonasvanvinckenroye/s3-e14-eda-model-comparison", "kernel_id": "38132176"}, {"ref": "denismunene/ps-s3e14-data-engineering-and-training", "kernel_id": "38109488"}, {"ref": "soraharada/play-s3e14-quick-baseline-and-submission", "kernel_id": "38002774"}, {"ref": "soraharada/play-s3e14-ensemble-submission", "kernel_id": "38044988"}, {"ref": "mrjouh4/prediction-of-wild-blueberry-yield", "kernel_id": "38446081"}, {"ref": "abhinavmangalore/s3e14-blueberries-yield-eda-fteng-and-1st-app", "kernel_id": "38200503"}, {"ref": "abhinavmangalore/s3e14-lightgbm-algorithm-and-h-parameters-tuning", "kernel_id": "38312213"}, {"ref": "abhashrai/ps3e14-eda-xgboost-for-beginner", "kernel_id": "38101037"}, {"ref": "kenjif/ps-3-14-auto-ml-blend-models-top10", "kernel_id": "38047722"}, {"ref": "kenjif/ps-3-14-auto-ml-feature-engineering", "kernel_id": "38098230"}, {"ref": "kenjif/ps-3-14-auto-ml-blend-model-with-add-l-dataset", "kernel_id": "38097070"}, {"ref": "kenjif/ps-3-14-auto-ml-blend-models-top5", "kernel_id": "38139349"}, {"ref": "kenjif/ps-3-14-auto-ml-scaling-and-blend-models-top5", "kernel_id": "38139636"}, {"ref": "iqbalsyahakbar/ps3e14-eda-fe-models-ensemble-for-starters", "kernel_id": "38005021"}, {"ref": "iqbalsyahakbar/impact-of-synthetization-on-training-dataset", "kernel_id": "38028228"}, {"ref": "iqbalsyahakbar/193-stacking-ensemble-zoo", "kernel_id": "38575067"}, {"ref": "priyanshu594/easy-eda-and-submission", "kernel_id": "38020757"}, {"ref": "mattop/ps-s3-e14-eda-tsne-adversarial-validation", "kernel_id": "38002860"}, {"ref": "mattop/4th-place-hillclimbing-with-5-models-ps-s3-e14", "kernel_id": "38579250"}, {"ref": "dab167/svm-regression-blueberry-yield", "kernel_id": "38045091"}, {"ref": "dlbrookes/notebookad201879b8", "kernel_id": "38322136"}, {"ref": "abhijitdarekar001/ps-s3e14-eda-ensemble-model", "kernel_id": "38140791"}, {"ref": "shoabahamed/what-is-the-best-k-for-cv", "kernel_id": "38182889"}, {"ref": "luojike/mlp-regressor", "kernel_id": "38256409"}, {"ref": "suyashkapil/playground-series-prediction-blueberry", "kernel_id": "38404280"}, {"ref": "mted223/blueberries-for-kaggle", "kernel_id": "38925250"}, {"ref": "richeyjay/blueberry-yield-eda", "kernel_id": "38033228"}, {"ref": "jagadishrcz/wild-blue-berries-prediction", "kernel_id": "38581408"}, {"ref": "francescoliveras/ps-s3-e14-eda-model-en-es", "kernel_id": "38010837"}, {"ref": "alvinmanojalex/ps3e14-randomforest-xgb", "kernel_id": "38183209"}, {"ref": "tonychirilus/super-quick-eda-elasticnet-model", "kernel_id": "38189458"}, {"ref": "kousiksasmal/wild-blueberry-with-pipeline-and-stacking-of-model", "kernel_id": "38215489"}, {"ref": "paulbacher/prediction-of-wild-blueberry-yield", "kernel_id": "38053713"}, {"ref": "sarahserafini/s3e14-wild-blueberry-yield-prediction-with-eda", "kernel_id": "38269280"}, {"ref": "arnavkapoor10/prediction-of-yield-of-blueberries", "kernel_id": "38433915"}, {"ref": "belati/blueberry-yield-comprehensive-eda", "kernel_id": "38007507"}, {"ref": "aman7kumar/berry-yield-ensemble-model", "kernel_id": "38230050"}, {"ref": "abocadobaby/ps3e14-simple-eda-modeling-lgbm", "kernel_id": "38067268"}, {"ref": "warriorwizard/ps3e14-prediction-of-wild-blueberry-yield", "kernel_id": "38481710"}, {"ref": "inhngcn/kaggle-s3e14-k-means-lightgbm-335-mae", "kernel_id": "38224218"}, {"ref": "sec98b4e/ps3e14-lgbm", "kernel_id": "38274540"}, {"ref": "sec98b4e/ps3-14-gbr", "kernel_id": "38222617"}, {"ref": "sec98b4e/ps3-14-hgbr", "kernel_id": "38220463"}, {"ref": "tumpanjawat/ps3e14-eda-hp-ensemble-ml", "kernel_id": "38151048"}, {"ref": "piehtvh/lgbm-xgb-catb-baseline", "kernel_id": "38258296"}, {"ref": "kavishchaudhary1003/playground-s3-e14-optuna-xgb-lgbm-catboost", "kernel_id": "38327225"}, {"ref": "nazimcherpanov/ps3e14-xgboost-lightgbm-catboost", "kernel_id": "38062880"}, {"ref": "anushreek15/prediction-of-wild-blueberry", "kernel_id": "38337436"}, {"ref": "anantbansal1223/s3-ep14-3", "kernel_id": "38235396"}, {"ref": "awesomeharris/ps3e14-prediction-of-wild-blueberry-yield", "kernel_id": "38377831"}, {"ref": "sulavshrestha007/comparing-the-regression-models", "kernel_id": "38447208"}, {"ref": "rebeccapringle/prediction-of-wild-blueberry-yield-s3e14", "kernel_id": "38061246"}, {"ref": "gaaaaaaab/wild-blueberry-xgb-randomf-knn-lr", "kernel_id": "38199815"}, {"ref": "gaaaaaaab/wild-blueberry-xgb", "kernel_id": "38308436"}, {"ref": "tonumaka/ps-s3e14", "kernel_id": "38261040"}, {"ref": "irda22/ps-s3e14-quick-eda-outliers-baseline-rf", "kernel_id": "38027545"}, {"ref": "irda22/ps-s3e14-nn-ensemble", "kernel_id": "38156553"}, {"ref": "ziadelassal/v1-blueberry", "kernel_id": "38399598"}, {"ref": "chrischapman12343/crop-yields", "kernel_id": "38037997"}, {"ref": "percedal/eda-simple-lgbm-tunning-with-optuna", "kernel_id": "38903819"}, {"ref": "setsuatsu114/prediction-of-wild-blueberry", "kernel_id": "38138739"}, {"ref": "kaizen97/randomforest-xgboost-catboost", "kernel_id": "38142915"}, {"ref": "terencyfu/prediction-of-blueberry-yield", "kernel_id": "38121435"}, {"ref": "pradeepsapparapu/prediction-of-blueberry-yield-eda-model-sub", "kernel_id": "38018880"}, {"ref": "eishkaran/ps-s3e14-eda-model-submission", "kernel_id": "38346264"}, {"ref": "kishore24/eda-statistics-model-building-comparison", "kernel_id": "38036183"}, {"ref": "vstacknocopyright/predicting-wild-blueberry-yield-a-new-frontier", "kernel_id": "38847834"}, {"ref": "panini92/playground-s3e14-eda-catboost-for-beginners", "kernel_id": "38039386"}, {"ref": "ailafelixa/wby-prediction-with-lgbm-336-13", "kernel_id": "38526706"}, {"ref": "minkhantmk19/beginner-notebook-with-modeling-eda", "kernel_id": "38109230"}, {"ref": "dishaasinghi/ps-s3e14-blueberries-prediction", "kernel_id": "38151415"}, {"ref": "danielbrito99/ps314-original-dataset-eda-boosting", "kernel_id": "38028934"}, {"ref": "georgescutelnicu/ps-s3e14-wild-blueberry-yield-prediction-gbr", "kernel_id": "38039382"}, {"ref": "jamjomjim/randomforest-comments-appreciated", "kernel_id": "38003063"}, {"ref": "eleonoraricci/ps3e14-berrylicious-predictions-with-pytorch", "kernel_id": "38164522"}, {"ref": "mnokno/wild-blueberry-yield-prediction-eda", "kernel_id": "38135358"}, {"ref": "yyazidd/prediction-of-wild-blueberry-yield-random-forest", "kernel_id": "38613284"}, {"ref": "muthumeenakshi11/notebookdf0bc5cfe0", "kernel_id": "38486804"}, {"ref": "daisukeishibashi/playground-series-s3e14-pytorch-for-janpanese", "kernel_id": "38008018"}, {"ref": "matthewsfarmer/s3-14-blueberry-yield-stacked", "kernel_id": "38021470"}, {"ref": "celebi07/fork-of-wild-blueberry-yield", "kernel_id": "38087320"}, {"ref": "mhmdfjr/wild-berry-yield-random-forest-regression", "kernel_id": "38224997"}, {"ref": "arunklenin/ps3e14-blueberry-yield-prediction-challenge", "kernel_id": "38034704"}, {"ref": "manabiulina/ps-s3e14-2023-eda-and-submission", "kernel_id": "38097926"}, {"ref": "manabiulina/ps3e14-eda-various-models-ensemble-baseline", "kernel_id": "38060619"}, {"ref": "atuljo/simple-prediction-of-wild-blueberry-yield", "kernel_id": "38482230"}, {"ref": "andreystartup/ps3e14-catboost-optuna", "kernel_id": "38242744"}, {"ref": "coinshot/wild-blueberry-yield-model", "kernel_id": "38033131"}, {"ref": "vcode1509/blueberry-prediction-xg-boost", "kernel_id": "38195523"}, {"ref": "rfeng12/blueberry-yield-prediction", "kernel_id": "38038266"}, {"ref": "ninadaithal/wild-blueberry-yield", "kernel_id": "38145644"}, {"ref": "ninadaithal/blue-berry-predictions", "kernel_id": "38352849"}, {"ref": "anmolkothari/wildblueberry-eda", "kernel_id": "38215690"}, {"ref": "skemp131/notebook5ce1cfb9d6", "kernel_id": "38435589"}, {"ref": "e271828ai/ps-s3-e14-01-simplebaseline-en-jp-20230502", "kernel_id": "38003716"}, {"ref": "bharathtoutireddy/prediction-of-blue-berry-yield-using-neural-net", "kernel_id": "38462610"}, {"ref": "davepvelasco/predict-wild-blueberry-yield-w-lgbm", "kernel_id": "38482158"}, {"ref": "eduardomoraton/las-blueberrye-esas", "kernel_id": "38016368"}, {"ref": "omraj12/wild-blueberry-yield", "kernel_id": "38144796"}, {"ref": "dem0nsl4yer/lb-361-28-xg-boost", "kernel_id": "38529100"}, {"ref": "deepanshupal09/notebook34d5b70588", "kernel_id": "38279810"}, {"ref": "heerie/notebook15530278cf", "kernel_id": "38562245"}, {"ref": "meheekapandey/notebooke52c467ebf", "kernel_id": "38553868"}, {"ref": "bharghavikorimi/notebook1f2ae953be", "kernel_id": "38551673"}, {"ref": "avyamittal/notebook6028b1b8d1", "kernel_id": "38563186"}, {"ref": "avyamittal/notebookea4be60dc2", "kernel_id": "38522090"}, {"ref": "naumithaareddyv/blueberries", "kernel_id": "38568163"}, {"ref": "varunadev/blueberries", "kernel_id": "38652140"}, {"ref": "stpeteishii/pss3-ep14-lgbm-with-optuna", "kernel_id": "39270792"}, {"ref": "sitrakamatthew/prediction-of-wild-blueberry-yield-test", "kernel_id": "39170706"}, {"ref": "derekxue/ps3e14-eda-various-models-ensemble-baseline", "kernel_id": "39625427"}, {"ref": "derekxue/blueberryyieldprediction", "kernel_id": "39851755"}, {"ref": "nivedithavudayagiri/pg-s3e14-blueberry-eda-submission", "kernel_id": "39845686"}, {"ref": "kuralamuthan300/wild-blueberry-yield-data-viz-adaboost", "kernel_id": "39337925"}, {"ref": "pranayrishith16/blueberry-yield-regression", "kernel_id": "39729401"}, {"ref": "starsiwach/blue-berry-linear-regression-score-364-2", "kernel_id": "39432551"}, {"ref": "onurkoc83/lgbm-score", "kernel_id": "39829252"}, {"ref": "anjusukumaran4/wild-blueberry-yield-comparing-2-models", "kernel_id": "39516154"}, {"ref": "mandapallijahnavi/blue-berry", "kernel_id": "39177903"}, {"ref": "pillasaipavan/wild-blueberry-yield", "kernel_id": "39008224"}, {"ref": "afriduzzaman2051/bluebarry-yeild-prediction", "kernel_id": "39629849"}, {"ref": "alxwyt/dn-yield-prediction", "kernel_id": "39241158"}, {"ref": "caiogasparini/predi-o-wild-blueberry-yield-lgbmregressor", "kernel_id": "40963910"}, {"ref": "funkeymonkey/regression-and-regularization-techniques", "kernel_id": "40567191"}, {"ref": "patriciabrezeanu/regression-and-regularization-techniques", "kernel_id": "40394009"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "ohagwucollinspatrick/blueberry-yield-prediction-w-rf-vs-gb-vs-xgb", "kernel_id": "40613203"}, {"ref": "sunildee/blueberries", "kernel_id": "40560012"}, {"ref": "inversion/make-synthetic-blueberry-yield-data", "kernel_id": "41873743"}, {"ref": "sakinamosavi/wild-blueberry-yield-prediction", "kernel_id": "41096564"}, {"ref": "swathiunnikrishnan/prediction-of-wild-blueberry-yield-r2-score-817", "kernel_id": "41488537"}, {"ref": "ndssingh/wild-blueberry-yields-predictions", "kernel_id": "41365074"}, {"ref": "titanpointe/berries-in-bloom-eda-and-modeling-xgb-299", "kernel_id": "43321968"}, {"ref": "aycone/blueberry-yield-linear-regression", "kernel_id": "44698423"}, {"ref": "rajneesh231/wild-berries-regression", "kernel_id": "49842688"}, {"ref": "priyanshu54200/wildblueberryyield-ps-ml", "kernel_id": "49988216"}, {"ref": "shamsin/notebookf7fa84294b", "kernel_id": "50752104"}, {"ref": "sveachawla/blueberries", "kernel_id": "50688532"}, {"ref": "abhinavvvvvvvvvv/prediction-of-wild-blueberry-yield", "kernel_id": "50460804"}, {"ref": "kkamal2003/prediction-of-wild-blueberry-yield", "kernel_id": "50553240"}, {"ref": "kirtigupta25/yield-prediction", "kernel_id": "50734040"}, {"ref": "yatharthgautam123789/wild-blueberry-yield", "kernel_id": "50733761"}, {"ref": "subashshah/notebookb376b175fa", "kernel_id": "50973944"}, {"ref": "ishita1802/wild-blueberry", "kernel_id": "50914266"}, {"ref": "ujjvalvashisht/ps-s3-e14-wild-blueberry-yield-using-xgb", "kernel_id": "50751131"}, {"ref": "pritishpriyam4/blueberry-yield", "kernel_id": "50940039"}, {"ref": "rohanthakur336/playground-prediction-of-wild-blueberry-yield", "kernel_id": "50775621"}, {"ref": "sehajbirsinghbains/notebookb72f56ca5e", "kernel_id": "50471113"}, {"ref": "udaysharma007/blueberry-yield", "kernel_id": "50730915"}, {"ref": "rijuljain2003/blueberryyield-rijul", "kernel_id": "50750932"}, {"ref": "aarushikamboj/blueberry-prediction", "kernel_id": "50089913"}, {"ref": "saranshthegoat/smj-s-prediction-of-wild-blueberry-yield", "kernel_id": "50978241"}, {"ref": "nataliiahudzeliak/ps-s3-ep14-wild-blueberry-yield-with-xgboost", "kernel_id": "51074101"}, {"ref": "anibansal/prediction-of-wild-blueberry-yield", "kernel_id": "51063551"}, {"ref": "manmeetkaursidhu/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "51081022"}, {"ref": "hardikgarg03/prediction-of-blueberry-yield", "kernel_id": "51406108"}, {"ref": "akashdeepkataria/prediction-of-wild-blueberry-yield", "kernel_id": "51059102"}, {"ref": "tarushirastogi/wildblueberry-yield", "kernel_id": "51810311"}, {"ref": "arryuannkhanna123/wildberry-yield-catboost-grid-search-cv", "kernel_id": "51529814"}, {"ref": "nitleenk/blueberry-yield", "kernel_id": "51564161"}, {"ref": "prabhdeep123/wild-blueberry-yields", "kernel_id": "51627637"}, {"ref": "raghavdargan/wild-blueberry-using-xgb", "kernel_id": "51163356"}, {"ref": "shresthapundir/wild-blueberry-yield-prediction", "kernel_id": "51499530"}, {"ref": "piyush1234ggfuvi/wild-blueberry-yield", "kernel_id": "51526207"}, {"ref": "shivamvermathapar/wild-blueberry-best-approach-begineers-xgboost", "kernel_id": "51482148"}, {"ref": "devbansal2140/wild-blueberry-using-regression", "kernel_id": "51928475"}, {"ref": "jayantdon/wild-blueberry-yield-with-xgboost", "kernel_id": "51531520"}, {"ref": "khyatimunjal/wild-blueberries", "kernel_id": "51075542"}, {"ref": "aarushijuneja07/blueberry-prediction", "kernel_id": "51866875"}, {"ref": "adityagoel2205/wild-blueberry-yield", "kernel_id": "51045732"}, {"ref": "domnurichie/wild-berries-yield", "kernel_id": "52157696"}, {"ref": "iamsmorrin/blueberryyield-thought-process", "kernel_id": "53888571"}, {"ref": "pedrodematos/blueberry-yield-pathways-to-success", "kernel_id": "53475140"}, {"ref": "harleenkaurdeora/regression-with-wild-blueberry-dataset", "kernel_id": "54339611"}, {"ref": "anadyasahai/wild-blueberry-yeild-anadya", "kernel_id": "54689870"}, {"ref": "kartikye10/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "54126027"}, {"ref": "namishjindal4/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "54327240"}, {"ref": "nishthakumari20/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "54352943"}, {"ref": "chiragchiku25/regression-using-lgbm-and-catboost", "kernel_id": "54198777"}, {"ref": "mateusztarnowski/blueberry-yield-linear-regression-5a1228", "kernel_id": "54817416"}, {"ref": "mateusztarnowski/blueberry-yield-linear-regression-7f0bd8", "kernel_id": "54690015"}, {"ref": "mateusztarnowski/blueberry-yield-linear-regression", "kernel_id": "54460969"}, {"ref": "mateusztarnowski/blueberry", "kernel_id": "54462114"}, {"ref": "akshita0560/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "55066671"}, {"ref": "chirag2306/wild-berries-regression", "kernel_id": "55093641"}, {"ref": "mariaentea/notebook085b266c1d", "kernel_id": "57664098"}, {"ref": "ishanmathurkaggle28/blue-berry-yield-best-approach", "kernel_id": "58046248"}, {"ref": "domnurichie/wild-blueberries-with-improvements", "kernel_id": "58456425"}, {"ref": "rarejitariu/die-endg-ltige-optimierte-version", "kernel_id": "58593928"}, {"ref": "rarejitariu/erste-variante1", "kernel_id": "58592908"}, {"ref": "vkiselev01/blueberry-spbu", "kernel_id": "58439344"}, {"ref": "sebbadsebbad/mymy-make-synthetic-blueberry-yield-data", "kernel_id": "59119734"}, {"ref": "admamtony/ps3e14-eda-various-models-ensemble-baseline", "kernel_id": "59268020"}, {"ref": "hikmetdevlet/15-wild-blueberry-prediction", "kernel_id": "60884776"}, {"ref": "ssyyhh/eda-of-blueberry-with-prediction", "kernel_id": "62021685"}, {"ref": "longnankay/mylearn-optuna-with-a-wild-blueberry-yield-dataset", "kernel_id": "62429708"}, {"ref": "andreasatitatongsak/wild-blueberry-regression", "kernel_id": "63524898"}, {"ref": "meapeze/ml-wild-blueberry-yield-submission", "kernel_id": "63981072"}, {"ref": "artemvasenin/xgboost", "kernel_id": "63311306"}, {"ref": "evelynnavarroporras/notebook40e03ef229", "kernel_id": "64356579"}, {"ref": "marcoavindas/notebook603e3b3186", "kernel_id": "64356584"}, {"ref": "slawomirjankowski/regression-with-a-wild-blueberry-yield", "kernel_id": "65573173"}, {"ref": "kc2001/testing-xgboost-on-wild-berry-yield", "kernel_id": "66694243"}, {"ref": "lennonleach/notebook076cbd5a12", "kernel_id": "66343218"}, {"ref": "vikasvinit/notebook68c3225e9e", "kernel_id": "66781082"}, {"ref": "yoshienlin/allen-ml-track", "kernel_id": "67298118"}, {"ref": "alperugurca/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "69605372"}, {"ref": "sebastianknuettel/sknuette-blueberry-yield-notebook", "kernel_id": "69775593"}, {"ref": "ziziou272/regression-with-a-wild-blueberry-yield-project", "kernel_id": "70756611"}, {"ref": "ziziou272/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "70754046"}, {"ref": "kshamarani/blueberry-yield-prediction-2024", "kernel_id": "70067218"}, {"ref": "karollisowski131/notebook9b82eaaf1b", "kernel_id": "70738306"}, {"ref": "ldausl/ps-s3e14-2023-first-place-winning-solution", "kernel_id": "76403599"}, {"ref": "ldausl/4th-place-hillclimbing-with-5-models-ps-s3-e14", "kernel_id": "76403901"}, {"ref": "ldausl/ps3e14-eda-various-models-ensemble-baseline", "kernel_id": "76403992"}, {"ref": "anmuser/wild-blueberry-yield-regression", "kernel_id": "78074092"}, {"ref": "mikolajhojda/wild-blueberry-yield-lr-rf-xgboost", "kernel_id": "83317574"}, {"ref": "bethmorrison/blueberry-yield-data", "kernel_id": "86185113"}, {"ref": "leyuzakoksoken/blueberry-yield-prediction-with-machine-learning", "kernel_id": "108829850"}, {"ref": "zynptkn06/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "116208190"}, {"ref": "basaktamer/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "119053044"}, {"ref": "zqx960151285/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "130423697"}]}
{"competition_id": "51982", "kernels": [{"ref": "paddykb/ps-s3e15-flaml-refiux-capacitor", "kernel_id": "38610282"}, {"ref": "jankuper192/eda-orginal-set-playground-mice-missforest", "kernel_id": "38648413"}, {"ref": "scirpus/fluxy-mcfluxface", "kernel_id": "38728083"}, {"ref": "scirpus/fluxy-mcfluxface-ii", "kernel_id": "38728878"}, {"ref": "chemaplana/the-accountant-boiling-water-stand", "kernel_id": "38744897"}, {"ref": "bjoernholzhauer/ps3e15-eda-lut-pipeline-catboost", "kernel_id": "38593093"}, {"ref": "cv13j0/experimenting-with-feature-imputation-ideas", "kernel_id": "38745981"}, {"ref": "docxian/ps-s3-e15-imputation-with-r", "kernel_id": "38628868"}, {"ref": "oscarm524/ps-s3-ep15-eda-modeling-submission", "kernel_id": "38574651"}, {"ref": "natsu18/pgs-s3e15", "kernel_id": "38589612"}, {"ref": "natsu18/pgs-s3e15-weighted-ensemble", "kernel_id": "38804065"}, {"ref": "siddharthkumarsah/s3e15-playground-solution-rmse-0-0749", "kernel_id": "38775018"}, {"ref": "siddharthkumarsah/s3e15-playground-extensive-eda", "kernel_id": "38717058"}, {"ref": "kimtaehun/complete-eda-and-xgb-baseline-guide", "kernel_id": "38594034"}, {"ref": "samir95/the-imputation-toolbox", "kernel_id": "38761614"}, {"ref": "tanisha1416/simple-crisp-eda", "kernel_id": "38580182"}, {"ref": "edwinhung/heatflux-fastai-tabularpandas", "kernel_id": "38707132"}, {"ref": "arshmodak/eda-data-prep-and-basic-ml-pipe-for-heatflux-data", "kernel_id": "38828463"}, {"ref": "ivanvaccari/ps3e15-catboostregressor-hyper-optimized", "kernel_id": "38613534"}, {"ref": "newdatasc/lgbm-catboost-public-score-0-075105", "kernel_id": "38597963"}, {"ref": "albertokaggle/superquick-heat-flux-understanding", "kernel_id": "38765552"}, {"ref": "mpwolke/critical-heat-flux-chf-correlations", "kernel_id": "38603421"}, {"ref": "devildev89/ps-3-15-submission", "kernel_id": "38633366"}, {"ref": "averma111/pytorch-ps3e15-optuna", "kernel_id": "38611606"}, {"ref": "paw27182/ps3e15-iterativeimputer-lgbmregressor", "kernel_id": "38637211"}, {"ref": "dongjun819/pgs315-eda-lgbm", "kernel_id": "38575551"}, {"ref": "deepaksolanki/quick-eda-simplest-solution", "kernel_id": "38688329"}, {"ref": "acdundore/s3-e15-eda-w-imputation-xgb-lgbm", "kernel_id": "38882871"}, {"ref": "killershoaib/ps-e15-pipeline-gboost-heat-flux-imputation", "kernel_id": "38649772"}, {"ref": "nandomartinez/episode-15-baseline-with-knn-imputation", "kernel_id": "38656816"}, {"ref": "nedadarbeheshti/feature-imputation", "kernel_id": "38656838"}, {"ref": "keitashimizu21/ja-en-modeling-predicting-critical-heat-flux", "kernel_id": "38753845"}, {"ref": "amarloni/pgs3-e15", "kernel_id": "38581685"}, {"ref": "akioonodera/ps-3-15-lgbm-reg", "kernel_id": "38575364"}, {"ref": "kdmitrie/pgs315-easy-use-of-h2o-automl", "kernel_id": "38088939"}, {"ref": "kdmitrie/pgs318-simple-use-of-optuna-algorithms-blending", "kernel_id": "38574587"}, {"ref": "shashankjat10/heat-flux-imputation-nn-xgboost", "kernel_id": "38903001"}, {"ref": "aakashjoshi123/heatflux", "kernel_id": "38718193"}, {"ref": "ranjeetshrivastav/heat-flux-catboost-baseline", "kernel_id": "38595200"}, {"ref": "jimmyyeung/ps3-15-heat-flux-gradient-boost", "kernel_id": "38765268"}, {"ref": "tracyporter/play-3-15-knn-imputer", "kernel_id": "38656915"}, {"ref": "tracyporter/play-3-15-impute", "kernel_id": "38653636"}, {"ref": "shadowdk/playground-s3e15", "kernel_id": "38629115"}, {"ref": "joelsathiyendra/feature-imputation-with-a-heat-flux-joel-rashad", "kernel_id": "38935519"}, {"ref": "jumbledown/feature-imputation-with-a-heat-flux-dataset", "kernel_id": "38837963"}, {"ref": "tolgaik/ps-s3-e15-catboost-modeling-score-0-075076", "kernel_id": "38594743"}, {"ref": "nolanmeyer/ps-s3-e15-original-vs-synthetic-eda", "kernel_id": "38663929"}, {"ref": "imessam/catboost-lightgbm-xgboost", "kernel_id": "38982177"}, {"ref": "shtrausslearning/hf-exploratory-data-analysis", "kernel_id": "38583246"}, {"ref": "vishweshhampali/ps-s3e14-imputation-using-linearregression-knn", "kernel_id": "38683609"}, {"ref": "akhilnambir789/notebook960ab50a66", "kernel_id": "38832026"}, {"ref": "ramjasmaurya/ps-3-15-simple-imputation-modelling", "kernel_id": "38750649"}, {"ref": "mohammadrazeghi/p03e15-preprocess-pipeline-baseline-xgboost", "kernel_id": "38575519"}, {"ref": "jimgruman/heat-flux-h2o", "kernel_id": "38660843"}, {"ref": "jimgruman/heat-flux-cubist-ii", "kernel_id": "38659832"}, {"ref": "jimgruman/heat-flux-lightgbm", "kernel_id": "38688705"}, {"ref": "jimgruman/heat-flux", "kernel_id": "38621552"}, {"ref": "jimgruman/heat-flux-cubist", "kernel_id": "38644480"}, {"ref": "gitashojaee/feature-imputation-iterativeimputer", "kernel_id": "38915799"}, {"ref": "jocelyndumlao/chf-prediction-analysis", "kernel_id": "38825890"}, {"ref": "tetsutani/ps3e15-eda-ensemble-and-stacking-baseline", "kernel_id": "38618840"}, {"ref": "wasshoiwasshoi/ps-s3e15-eda-and-lightgbmbaseline", "kernel_id": "38665341"}, {"ref": "monikakusumanchi/ann-regression", "kernel_id": "38834776"}, {"ref": "srilaasyakandukuri/s3e15cat-boost", "kernel_id": "38835145"}, {"ref": "srilaasyakandukuri/s3e15-ann", "kernel_id": "38838650"}, {"ref": "mustafabayhan/missing-value-imputation-and-catboost", "kernel_id": "38752246"}, {"ref": "ceyhunsahin/xgboost-optuna", "kernel_id": "38911925"}, {"ref": "gautamimamidala/feature-imputation-with-a-heat-flux-1", "kernel_id": "38845644"}, {"ref": "xclimx/kps-s03e15-minimalistic-autogluon-lb-0-075180", "kernel_id": "38682447"}, {"ref": "erfansobhaei/heat-flux-imputation", "kernel_id": "38592943"}, {"ref": "barbagrande007/bbg-007-s3e15-chf-autoencoder", "kernel_id": "38574969"}, {"ref": "barbagrande007/bbg007-s3e15-autoencoder", "kernel_id": "38651211"}, {"ref": "bhuvanagayathri/feature-imputation-with-a-heat-flux-dataset", "kernel_id": "38997120"}, {"ref": "jakubrogulski/pgs315-various-imputations-techniques", "kernel_id": "38800132"}, {"ref": "jakubrogulski/pgs315-single-lgbm", "kernel_id": "38589382"}, {"ref": "jakubrogulski/pgs315-eda", "kernel_id": "38581638"}, {"ref": "satyaprakashshukl/neural-network-feature-imputation-with-a-heat", "kernel_id": "38878782"}, {"ref": "satyaprakashshukl/simple-boost-xgb", "kernel_id": "38758629"}, {"ref": "deepakjeff/feature-imputation", "kernel_id": "38680460"}, {"ref": "ravi20076/playgrounds3e15-eda-baseline", "kernel_id": "38614073"}, {"ref": "sujaykapadnis/ps-s3e15-comparing-imputation-techniques", "kernel_id": "38628713"}, {"ref": "meghanachebolu/01-feature-imputation-final", "kernel_id": "38842928"}, {"ref": "muhriddinmalik/feature-imputation-with-a-heat-flux-notebook-of-mk", "kernel_id": "38651887"}, {"ref": "klyushnik/h2o-automl", "kernel_id": "38596182"}, {"ref": "klyushnik/feature-imputation-vol-2", "kernel_id": "38606923"}, {"ref": "demko1/6th-place-solution-s3e15", "kernel_id": "38605571"}, {"ref": "strategos2/playground-series-season-3-episode-15", "kernel_id": "38689125"}, {"ref": "scodepy/automl-gbm-uptuna-feature-imputation", "kernel_id": "38596292"}, {"ref": "scodepy/feature-imputation-with-a-heat-flux-dataset-ipynb", "kernel_id": "38595235"}, {"ref": "scodepy/notebooke3a46aeb75", "kernel_id": "38637067"}, {"ref": "iniyatj/ps-s3e15-beginner-guide", "kernel_id": "38580848"}, {"ref": "hemakarapu/feature-imputation-heat-flux-dataset", "kernel_id": "38648574"}, {"ref": "onurkoc83/knn-mputer-lb-score-0-075094", "kernel_id": "38629680"}, {"ref": "onurkoc83/catboost-validation-original-dataset", "kernel_id": "38618896"}, {"ref": "onurkoc83/catboost-lb-score-0-075167", "kernel_id": "38596751"}, {"ref": "onurkoc83/lgbm-sample-sub-lb-score-0-076194", "kernel_id": "38584815"}, {"ref": "muhannadmansour/heat-flux-prediction-boosting-regressor", "kernel_id": "38640341"}, {"ref": "rzatemizel/stacking-with-pipeline", "kernel_id": "38661267"}, {"ref": "hakhali99/fluxxx", "kernel_id": "38733657"}, {"ref": "suvarnayandapalli/fea-imp", "kernel_id": "38885919"}, {"ref": "suvarnayandapalli/feature-imputation", "kernel_id": "38883929"}, {"ref": "canobliviate0/qzh-jnu", "kernel_id": "38754839"}, {"ref": "brpuneet898/heat-influx-complete-code", "kernel_id": "38969651"}, {"ref": "ashishkumarak/feature-imputation-with-heat-flux-dataset", "kernel_id": "38757760"}, {"ref": "minhazengg/heatflux-2", "kernel_id": "38673993"}, {"ref": "iqbalsyahakbar/5-part-1-imputation", "kernel_id": "38714933"}, {"ref": "iqbalsyahakbar/5-part-2-model-building", "kernel_id": "38904721"}, {"ref": "iqbalsyahakbar/ps3e15-eda-imputing-ensemble-for-beginners", "kernel_id": "38577508"}, {"ref": "jayeshsonawane/ps3e15-lgbm-0-075387-knn-imputation", "kernel_id": "38659513"}, {"ref": "vissapragadasandeep/heat-flux", "kernel_id": "38889671"}, {"ref": "dhanrajmalla/lgbmregressor", "kernel_id": "38837732"}, {"ref": "dhanrajmalla/knn-imputer-for-imputation", "kernel_id": "38833051"}, {"ref": "dhanrajmalla/fork-of-lgbmregressor-f4221e", "kernel_id": "38895397"}, {"ref": "nickseader/heat-flux-feature-information-and-correlations", "kernel_id": "38684876"}, {"ref": "majidabdoos/ps3e15-lgbmimputer-simple-model-lb-0-075567", "kernel_id": "38698683"}, {"ref": "richeyjay/feature-imputation-with-a-heat-flux-dataset", "kernel_id": "38608782"}, {"ref": "jagadishrcz/heat-flux-s3ep15", "kernel_id": "38960907"}, {"ref": "francescoliveras/ps-s3-e15-eda-model-en-es", "kernel_id": "38582150"}, {"ref": "frankostyn/mice-lgbm", "kernel_id": "38807391"}, {"ref": "aman7kumar/ensemble-of-randomforest-gradientboost-catboost", "kernel_id": "38635075"}, {"ref": "abocadobaby/ps3-e15-lgbm-imputation", "kernel_id": "38830546"}, {"ref": "perrypineapple/starter-eda-10-lines-of-code", "kernel_id": "38937590"}, {"ref": "sec98b4e/ps3e15-lgbm", "kernel_id": "38858523"}, {"ref": "kondetisandeep/heat-flux-imputation", "kernel_id": "38883115"}, {"ref": "shubhamsingh57/catboost-beginner-s", "kernel_id": "38974609"}, {"ref": "awesomeharris/ps3e15-feature-imputation-with-heat-flux-dataset", "kernel_id": "38575173"}, {"ref": "elskowaski/ps-s3e15", "kernel_id": "38873846"}, {"ref": "kaizen97/eda-xbg-lgbm", "kernel_id": "38577091"}, {"ref": "lukastaylor2/heat-flux-miceforest-and-pycaret", "kernel_id": "38781926"}, {"ref": "panini92/heat-flux-ps3e15-eda-catboost-missing-values", "kernel_id": "38612048"}, {"ref": "yukashihara/impute-missing-values-with-knn-imputer", "kernel_id": "38752126"}, {"ref": "minkhantmk19/eda-xgboost-pipeline-beginner-s3e15", "kernel_id": "38734070"}, {"ref": "yamanju/playground-series-season-3-15-eda", "kernel_id": "38597276"}, {"ref": "harshapondhugula/heat-flux-s13-e15", "kernel_id": "38628840"}, {"ref": "mateuszk013/playground-series-s3e15-heat-flux-visual-eda", "kernel_id": "38612247"}, {"ref": "mnokno/visual-eda-assembly-model-analysis", "kernel_id": "38599064"}, {"ref": "elmo27/playground-3-15-imputing-catboost", "kernel_id": "38845039"}, {"ref": "manojkumarpentapalli/heat-flux-imputation", "kernel_id": "38896652"}, {"ref": "arunklenin/ps3e15-iterative-catboost-imputer-ensemble", "kernel_id": "38660209"}, {"ref": "braveplayer/top-1-lgbm-catboost", "kernel_id": "38989925"}, {"ref": "atuljo/simple-eda-and-lgb-reg-rmse-hypertuned", "kernel_id": "38824191"}, {"ref": "atuljo/knn-imputer-lgbm-with-mrse-0-764", "kernel_id": "38777135"}, {"ref": "atuljo/a-simple-model-to-implement-with-modification", "kernel_id": "38622997"}, {"ref": "ajayrahulprasad/feature-imputation-02", "kernel_id": "38983691"}, {"ref": "baireddypranayreddy/nairain", "kernel_id": "38844101"}, {"ref": "rfeng12/easily-customizable-neural-network", "kernel_id": "38740949"}, {"ref": "soyabulislamlincoln/heat-flux-data-visualization", "kernel_id": "38654238"}, {"ref": "e271828ai/ps-s3-e15-01-simplebaseline-en-jp-20230516", "kernel_id": "38574603"}, {"ref": "guodptech/test-share", "kernel_id": "38577293"}, {"ref": "aakashs57/ps3e15-xgboost-lightgbm", "kernel_id": "38625092"}, {"ref": "sitbayevalibek/feature-imputation-competition1", "kernel_id": "38919153"}, {"ref": "sitbayevalibek/feature-imputation-xgboost", "kernel_id": "38965693"}, {"ref": "ziwenwang0705/ps3e15-xgboost-lightgbm", "kernel_id": "38941735"}, {"ref": "jankuper192/impute-the-traditional-way-through-h2o-gam", "kernel_id": "39035985"}, {"ref": "scirpus/fluxy-mcfluxface-iii", "kernel_id": "39182755"}, {"ref": "ernestglukhov/simple-solution-with-random-forest", "kernel_id": "39108226"}, {"ref": "datascientistsohail/heat-flux-imputation-se03-ep15", "kernel_id": "39074180"}, {"ref": "mahmudds/ps3e15-imputation-fe-ensemble", "kernel_id": "39168200"}, {"ref": "stpeteishii/pss3-ep15-lgbm-with-optuna", "kernel_id": "39270919"}, {"ref": "buzziatharva/using-iterative-imputer", "kernel_id": "39159114"}, {"ref": "porrecasimone/s3e15-data-pipeline-randomforestregressor", "kernel_id": "39034777"}, {"ref": "zahraalidadi75/feature-imputation-eda-with-xgboost-model", "kernel_id": "39021646"}, {"ref": "dev7halo/11th-automl-is-all-you-need", "kernel_id": "39244408"}, {"ref": "bogdandoicin/s3e15-algorithm-comparing", "kernel_id": "39097451"}, {"ref": "alexdippolito/playground-series-s3e15-3rd-place-solution", "kernel_id": "39253000"}, {"ref": "ramjasmaurya/prediction-using-hyperimpute", "kernel_id": "39130539"}, {"ref": "eslamfouad/feature-imputation-rfclassifier", "kernel_id": "39916865"}, {"ref": "santosh1974/heat-flux-first", "kernel_id": "39016379"}, {"ref": "harshadnsane/heat-flux-decision-tree", "kernel_id": "39171123"}, {"ref": "barbagrande007/bbg007-s3e15-chf-imputer", "kernel_id": "39069886"}, {"ref": "drrajkulkarni/play-ground-s3e15-test", "kernel_id": "39054802"}, {"ref": "suraj520/step-by-step-analysis-towards-feature-imputation", "kernel_id": "39146888"}, {"ref": "samvelkoch/automl-pycaret-solution-tabular-series-s3e15", "kernel_id": "39156715"}, {"ref": "kenjif/ps-3-15-auto-ml-blend-models-top2", "kernel_id": "39196506"}, {"ref": "kenjif/ps-3-15-auto-ml-blend-models-knn-imputation", "kernel_id": "39199693"}, {"ref": "alexbostick/cat-regression-heat-flux", "kernel_id": "39077453"}, {"ref": "hmikraminfo/feature-imputation-with-a-heat-flux-dataset", "kernel_id": "39072693"}, {"ref": "manishkumar7432698/feature-imputation-with-heat-flux-data", "kernel_id": "39169736"}, {"ref": "manishkumar7432698/knn-imputer", "kernel_id": "39172609"}, {"ref": "arunmunagala/heat-flux-imputation-using-multiple-techniques", "kernel_id": "39060124"}, {"ref": "asritha706/heatflux", "kernel_id": "39148180"}, {"ref": "bindunethala/heat-flux-model", "kernel_id": "39167538"}, {"ref": "moh3we5/feature-imputation-with-a-heat-flux-dataset-0-086", "kernel_id": "39151656"}, {"ref": "naziadana/rmse-heat", "kernel_id": "39015714"}, {"ref": "kvasart/heat-flux-catboost-testing", "kernel_id": "39158225"}, {"ref": "alexeygankov/fill-nans-with-catboost", "kernel_id": "39130153"}, {"ref": "helpming/lightgbm-imputation", "kernel_id": "39171995"}, {"ref": "konstantinsamolinov/simple-solution-with-random-forest-ska", "kernel_id": "39297620"}, {"ref": "mandapallijahnavi/feature", "kernel_id": "39178254"}, {"ref": "atuljo/simple-eda-knn-lgb-rmse-0-077", "kernel_id": "39070083"}, {"ref": "stanislavchalyi/notebook52f5f8945f", "kernel_id": "39081267"}, {"ref": "xirongcui/notebook4aeee12744", "kernel_id": "39171847"}, {"ref": "davepvelasco/ps3e15-feature-imputation", "kernel_id": "39078701"}, {"ref": "weichens/ps3e15-study-ensemble-model-optuna-and-eda", "kernel_id": "39009426"}, {"ref": "ddfotsm/ps3e15-eda-imputing-ensemble-for-beginners", "kernel_id": "39385490"}, {"ref": "chiranjeevisrinivas/playground-series-s3e15", "kernel_id": "40388496"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "gaaaaaaab/heat-flux-optuna-xgb", "kernel_id": "40542436"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "serhiikharchuk/s3e15-ensemble-knn-imputation-score-0-72854", "kernel_id": "42734742"}, {"ref": "deltax/flux-heat", "kernel_id": "43712075"}, {"ref": "ailashrafsakil/imputation", "kernel_id": "44058280"}, {"ref": "kavyasmallika/s3e15-ensemble-knn-imputation-score-0-72854", "kernel_id": "45645865"}, {"ref": "akshaykhanna05/akshay-heat-flux-imputation", "kernel_id": "49772111"}, {"ref": "sahilfatima/heat-flux-data-visualization", "kernel_id": "49061360"}, {"ref": "yatharthgautam123789/playground-problem2", "kernel_id": "49794016"}, {"ref": "udaysharma007/feature-imputation", "kernel_id": "49772750"}, {"ref": "jominjae/heat-flux-prediction-using-mechanical-engineering", "kernel_id": "50452403"}, {"ref": "abhinavvvvvvvvvv/heat-flux", "kernel_id": "50459661"}, {"ref": "prabhdeep123/heatflux", "kernel_id": "51627507"}, {"ref": "ujjvalvashisht/feature-imputation-with-a-heat-flux-dataset", "kernel_id": "51077232"}, {"ref": "rijuljain2003/heatflux-rijul", "kernel_id": "51124819"}, {"ref": "hrshpreet/notebook-for-heat-flux-feature-imputation", "kernel_id": "51159271"}, {"ref": "deltax/lingua-flux", "kernel_id": "52024776"}, {"ref": "rishitaverma02/feature-imputation-with-a-heat-flux-dataset", "kernel_id": "54012738"}, {"ref": "nitleenk/heat-flux", "kernel_id": "55196540"}, {"ref": "omeraydin1/m2-regression", "kernel_id": "115335669"}, {"ref": "zqx960151285/feature-imputation-with-a-heat-flux-dataset", "kernel_id": "130393903"}]}
{"competition_id": "51983", "kernels": [{"ref": "phongnguyen1/a-framework-for-tabular-regression-e16-14-11", "kernel_id": "36319473"}, {"ref": "inversion/make-synthetic-crab-age-data", "kernel_id": "39199955"}, {"ref": "yazhinisp/score-1-37-simple-xgboost-baseline", "kernel_id": "39229333"}, {"ref": "jankuper192/eda-target-crab-modelling-h20-gam", "kernel_id": "39214386"}, {"ref": "scirpus/crabby-mccrabface-i", "kernel_id": "39272361"}, {"ref": "scirpus/crabby-mccrabface-ii", "kernel_id": "39302874"}, {"ref": "chemaplana/the-accountant-crab-crab-crab-time", "kernel_id": "39242365"}, {"ref": "venkatsam30/notebook500bc8ff07", "kernel_id": "39603626"}, {"ref": "bendjedouattia/crab-age-with-tensorflow", "kernel_id": "39475499"}, {"ref": "bendjedouattia/first-model-with-tfdf", "kernel_id": "39885457"}, {"ref": "vaidyaprasad84/impacts-of-removing-multi-collinearity", "kernel_id": "39232085"}, {"ref": "subhendu/s03-e16-regression-with-a-crab-age-dataset-tf-mlp", "kernel_id": "39708954"}, {"ref": "glebmikh/ds65-catboost-ms", "kernel_id": "39480125"}, {"ref": "cv13j0/regression-a-crab-age-model", "kernel_id": "39513345"}, {"ref": "tangelus/benchmarking-lgbm-modeling", "kernel_id": "39456849"}, {"ref": "docxian/ps-s3-e16-crab-age-regression", "kernel_id": "39225087"}, {"ref": "tejasurya/lgbm-xgb-catboost-cv-age-predict-regression", "kernel_id": "39258615"}, {"ref": "datascientistsohail/se03-ep16-regression", "kernel_id": "39562960"}, {"ref": "rafaelsaraivacampos/regression-with-a-crab-age-dataset-solution", "kernel_id": "39806492"}, {"ref": "cyborg123/version-1-crab", "kernel_id": "39680201"}, {"ref": "filipinogambino/crab-age-prediction", "kernel_id": "39282596"}, {"ref": "einonm/regression-with-a-crab-age-dataset-nn-mae-1-364", "kernel_id": "39924946"}, {"ref": "oscarm524/ps-s3-ep16-eda-modeling-submission", "kernel_id": "39201167"}, {"ref": "natsu18/ps-3-16-weighted-ensemble", "kernel_id": "39223585"}, {"ref": "daaadaaa/s3e16-crab-age-competition", "kernel_id": "39386719"}, {"ref": "kimtaehun/crab-age-prediction-with-eda-and-xgb-baseline", "kernel_id": "39201192"}, {"ref": "joebeachcapital/crab-age-eda", "kernel_id": "39284327"}, {"ref": "tanisha1416/interactive-eda-h2o-automl-baseline", "kernel_id": "39205217"}, {"ref": "kurosakishusuke/ps3e16-eda-optuna-lgbm", "kernel_id": "39257250"}, {"ref": "chiranjeevisrinivas/crab-age-regression", "kernel_id": "39752812"}, {"ref": "harshavardhanbabu/simple-cv-using-catboost", "kernel_id": "39247530"}, {"ref": "harshavardhanbabu/crab-eda-baseline-catboost-winsoriser", "kernel_id": "39210593"}, {"ref": "harshavardhanbabu/getting-started-with-automl", "kernel_id": "39217748"}, {"ref": "harshavardhanbabu/my-first-ensemble-for", "kernel_id": "39224895"}, {"ref": "szn619/kaggle-playground-challenge", "kernel_id": "39577143"}, {"ref": "krishnaraj30/crab-age-prediction-regression-random-forest", "kernel_id": "39819965"}, {"ref": "amanpathak2909/crabageprediction-eda-domainexplained", "kernel_id": "39561242"}, {"ref": "arshmodak/eda-data-prep-and-basic-ml-for-predicting-crabage", "kernel_id": "39810996"}, {"ref": "stpeteishii/pss3-ep16-lgbm-with-optuna", "kernel_id": "39270504"}, {"ref": "newdatasc/crabby-patty-age-baseline-lgbm", "kernel_id": "39201989"}, {"ref": "mpwolke/average-lifespan-of-a-crab", "kernel_id": "39205089"}, {"ref": "syerramilli/ps3e16-basiceda-xgboost-optuna", "kernel_id": "39436498"}, {"ref": "syerramilli/ps3e16-basiceda-catboost-optuna", "kernel_id": "39715378"}, {"ref": "derekxue/make-synthetic-crab-age-data", "kernel_id": "39689800"}, {"ref": "dsadler/regression-prediction-for-crab-age-data", "kernel_id": "39283706"}, {"ref": "averma111/pytorch-crabage-s3e16", "kernel_id": "39574536"}, {"ref": "averma111/stacking-crabage-s3e16", "kernel_id": "39207762"}, {"ref": "utsav1234/voting-regressor-the-best-performer", "kernel_id": "39248694"}, {"ref": "dongjun819/pgs316-eda-lgbm-ensemble", "kernel_id": "39206225"}, {"ref": "catadanna/tab-e3-s16", "kernel_id": "39226187"}, {"ref": "danilopaula/tps-s3e16", "kernel_id": "39221463"}, {"ref": "sparsh3649/notebook3c68e29f77", "kernel_id": "39764886"}, {"ref": "sparsh3649/notebook5f85c7354c", "kernel_id": "39800639"}, {"ref": "sparsh3649/deeplearning-2", "kernel_id": "39885539"}, {"ref": "sparsh3649/deeplearning-1", "kernel_id": "39884351"}, {"ref": "ronfswanson/accuracyofvariousmodels-crabage", "kernel_id": "39825392"}, {"ref": "acdundore/s3-e16-eda-feat-eng-ensemble", "kernel_id": "39890233"}, {"ref": "killershoaib/pse16-age-hyperparameter-tuning-gboost", "kernel_id": "39285511"}, {"ref": "kkhandekar/what-a-crab-age-regression", "kernel_id": "39571622"}, {"ref": "vadimsaburov/crab-age-eda-preprocessing-model-selection", "kernel_id": "39820384"}, {"ref": "mexwell/quick-eda-feature-engineering-lightgbm", "kernel_id": "39234820"}, {"ref": "rishabhm76/crab-age-regression-for-beginners", "kernel_id": "39369718"}, {"ref": "keitashimizu21/ja-en-regression-with-a-crab-age-dataset", "kernel_id": "39223971"}, {"ref": "ajitjadhav1/crab-age-prediction-using-linear-regression", "kernel_id": "39794653"}, {"ref": "amarloni/pgs3e16", "kernel_id": "39206533"}, {"ref": "bibekchalise/regression-with-crab-age-dataset", "kernel_id": "39478688"}, {"ref": "sawsanshakir/notebook-crab-age-dataset", "kernel_id": "39383769"}, {"ref": "dhruvtiwari/easy-xgboost-model-to-learn-basics", "kernel_id": "39205459"}, {"ref": "charunumesh/ps-s3-e16", "kernel_id": "39263855"}, {"ref": "akioonodera/ps-3-16-lgbm-reg", "kernel_id": "39201858"}, {"ref": "shashankjat10/crab-age-prediction-nn", "kernel_id": "39876046"}, {"ref": "nivedithavudayagiri/crab-age-baseline-voting", "kernel_id": "39242790"}, {"ref": "ahmetyldrr/predict-crab-age-catboost-score-1-3468", "kernel_id": "39282525"}, {"ref": "aakashjoshi123/crab-weight", "kernel_id": "39250746"}, {"ref": "psyflow/psyflow-crab-age-prediction-pg-s3-e16", "kernel_id": "39373465"}, {"ref": "ashutoshojha/playground-s3-e16-baseline-submission", "kernel_id": "39203586"}, {"ref": "nidhishgautam/make-synthetic-crab-age-data", "kernel_id": "39590826"}, {"ref": "jimmyyeung/ps3-16-crab-age-eda-optuna-lgbm", "kernel_id": "39219667"}, {"ref": "nyagami/predicting-the-age-of-crabs-regression", "kernel_id": "39339094"}, {"ref": "christilee/ps-s3-16-baseline-v1", "kernel_id": "39728146"}, {"ref": "alanshmyga/regression-with-a-crab-age", "kernel_id": "39309627"}, {"ref": "klaidenx/p-s3e16-eda-model", "kernel_id": "39282399"}, {"ref": "tracyporter/play-3-16-xgbr", "kernel_id": "39345751"}, {"ref": "tracyporter/play-3-16-rfr", "kernel_id": "39345372"}, {"ref": "tracyporter/play-3-16-leakyrelu", "kernel_id": "39351463"}, {"ref": "tracyporter/play-3-16-tf", "kernel_id": "39343725"}, {"ref": "themeeemul/age-crab-prediction", "kernel_id": "39526070"}, {"ref": "suranjandas1990/ps3e16-eda-i-sgd", "kernel_id": "39411372"}, {"ref": "reymaster/ps-s3e16-votingregressor-synthetic-data", "kernel_id": "39675362"}, {"ref": "shadowdk/playground-s3e16", "kernel_id": "39202888"}, {"ref": "marioshadjiantonis/playground-s3e16", "kernel_id": "39438153"}, {"ref": "ngntnlong/pgs-ss3e16", "kernel_id": "39647126"}, {"ref": "davidbranson/crab-age-predictions-playground-s03e16", "kernel_id": "39761885"}, {"ref": "dedywjakson/crab-age-prediction-with-regression-model", "kernel_id": "39689311"}, {"ref": "prathameshprege/ps-s3-e16-regression-with-a-crab-age-dataset", "kernel_id": "39255723"}, {"ref": "jaga360/regression-with-a-crab-age", "kernel_id": "39336971"}, {"ref": "jimmy1995taiwan/playground-crab-age-prediction-with-lgbmregressor", "kernel_id": "39520968"}, {"ref": "bogdandoicin/feature-engineering-catboostregressor", "kernel_id": "39587766"}, {"ref": "tolgaik/ps-s3-e16-catboost-modeling-score-1-36173", "kernel_id": "39226963"}, {"ref": "shatabdi5/crab-age-regression", "kernel_id": "39615561"}, {"ref": "yus002/2023-05-30-eda-tps-crab-age-prediction", "kernel_id": "39210324"}, {"ref": "lovinggirls/lgbm-and-kfold-regression-with-crabs-dataset", "kernel_id": "39387443"}, {"ref": "lovinggirls/lgbm-all-the-way-from-1-37-to-1-34-b-ch", "kernel_id": "39768167"}, {"ref": "lovinggirls/lgbm-xgb-and-hist-averaging", "kernel_id": "39869782"}, {"ref": "lovinggirls/stacking-lgbm-xgb-and-hist-averaging", "kernel_id": "39895068"}, {"ref": "rafayqayyum/regression-crab-stacking-eda", "kernel_id": "39888010"}, {"ref": "imessam/catboost-lightgbm-xgboost-dnn-cnn", "kernel_id": "39766602"}, {"ref": "shawnie/notebook4d01542dd6", "kernel_id": "39255012"}, {"ref": "varunsampathkumar/crabageprediction-challengekaggle", "kernel_id": "39696312"}, {"ref": "collinsakal/predictive-insights-from-catboost", "kernel_id": "39201379"}, {"ref": "aronpollner/crab-age-prediction-with-lr-rf-xgboost", "kernel_id": "39661154"}, {"ref": "pohzixiang/crab-age-regression-zx", "kernel_id": "39362177"}, {"ref": "testanother/crab-regression-submission-simple", "kernel_id": "39338083"}, {"ref": "eslamfouad/regression-with-a-crab-age-dataset-ml", "kernel_id": "39587921"}, {"ref": "jeremyhaakenson/crab-xgboost", "kernel_id": "39275959"}, {"ref": "jimgruman/crab-age-with-r", "kernel_id": "39246240"}, {"ref": "jimgruman/deep-learning-crab-age-with-r-using-torch", "kernel_id": "39342969"}, {"ref": "jocelyndumlao/crabs-exploring-original-synthetic-data", "kernel_id": "39292342"}, {"ref": "tetsutani/ps3e16-eda-ensemble-ml-pipeline", "kernel_id": "39227732"}, {"ref": "ajaybabua/crab-age-lr-ridge-lasso", "kernel_id": "39840107"}, {"ref": "ajaybabua/predict-crab-age-with-xgbregressor", "kernel_id": "39884657"}, {"ref": "shuvojitdas/ps3e16-eda-regression-algorithms", "kernel_id": "39885370"}, {"ref": "shreyanshverma27/crab-age-prediction-regression-model", "kernel_id": "39423038"}, {"ref": "xclimx/eda-lightgbm-optuna", "kernel_id": "39280975"}, {"ref": "xclimx/eda-xgboost-optuna", "kernel_id": "39203965"}, {"ref": "amyrmahdy/crab-age", "kernel_id": "39841348"}, {"ref": "asheshsaha/ashesh-crab", "kernel_id": "39793717"}, {"ref": "bhargav6031/lightgbm-gridsearchcv-and-feature-engineering", "kernel_id": "39786295"}, {"ref": "alekseyfomin/ensemble-baseline-for-finetuning", "kernel_id": "39218175"}, {"ref": "barbagrande007/bbg007-crabs-s3e16", "kernel_id": "39610498"}, {"ref": "starsiwach/crab-age-svm", "kernel_id": "39470242"}, {"ref": "tdoh86/ps316-dnn-tf", "kernel_id": "39801652"}, {"ref": "jakubrogulski/dimensionality-reduction-using-pca", "kernel_id": "39276873"}, {"ref": "jakubrogulski/ps3e16-eda-model", "kernel_id": "39209980"}, {"ref": "satyaprakashshukl/simple-crab-boost-xgb", "kernel_id": "39205640"}, {"ref": "satyaprakashshukl/crab-age-dataset-eda-prediction", "kernel_id": "39205525"}, {"ref": "satyaprakashshukl/neural-network-ps-crab-series-3-e-16", "kernel_id": "39206241"}, {"ref": "satyaprakashshukl/chat-gpt-crab-age-prediction", "kernel_id": "39836304"}, {"ref": "ranjithkacharya/crab-eda-predictions", "kernel_id": "39380254"}, {"ref": "deepakjeff/crab-age-regression", "kernel_id": "39297326"}, {"ref": "ravi20076/playgrounds3e16-eda-baseline", "kernel_id": "39201587"}, {"ref": "sujaykapadnis/ps-s3e16-eda-stacked-submission", "kernel_id": "39217140"}, {"ref": "ashioyajotham/crab-age-regression", "kernel_id": "39572494"}, {"ref": "i191796majid/feature-selection-crab", "kernel_id": "39646199"}, {"ref": "xiaohu2200/score-1-3360-on-private", "kernel_id": "39914013"}, {"ref": "chetanp7970/regression-crab-age-dataset", "kernel_id": "39839177"}, {"ref": "spike8086/crabageprediction-baseline-of-tensorflow-ae", "kernel_id": "39493204"}, {"ref": "haoranliang01/haoran-s-xgboost-predictions-with-tuning", "kernel_id": "39520751"}, {"ref": "haoranliang01/haoran-s-naive-predictions", "kernel_id": "39202829"}, {"ref": "haoranliang01/haoran-s-artificial-neural-network-predictions", "kernel_id": "39239074"}, {"ref": "richarddev/crabs-age-predictions", "kernel_id": "39768777"}, {"ref": "lusfernandotorres/playground-series-season-03-episode-16", "kernel_id": "39669868"}, {"ref": "chaitanyakolliboyina/crab-age-regression", "kernel_id": "39367156"}, {"ref": "klyushnik/ensemble-learning-regression", "kernel_id": "39221651"}, {"ref": "phanendrasairam/crab-age-prediction-s3e16", "kernel_id": "39410873"}, {"ref": "pauljef/crab-age-detecting-outliers", "kernel_id": "39547213"}, {"ref": "pranay27sy/feature-engineering-regression-crabage-dataset", "kernel_id": "39687917"}, {"ref": "meeratif/crabs-the-simplest-code", "kernel_id": "39240669"}, {"ref": "scodepy/crab-age-prediction-using-deep-learning-v2", "kernel_id": "39883109"}, {"ref": "scodepy/crab-age-prediction-using-deep-learning-v3", "kernel_id": "39884023"}, {"ref": "scodepy/crab-age-prediction-xgboost", "kernel_id": "39861355"}, {"ref": "yogesh239/ps3e16-regression-lgbm-rf-crab-age-predictions", "kernel_id": "39646840"}, {"ref": "serifoz/simple-catboostregressor", "kernel_id": "39420265"}, {"ref": "suraj520/detailed-analysis-towards-predicting-s-age", "kernel_id": "39238345"}, {"ref": "vikpov/crab-age-predictions", "kernel_id": "39863559"}, {"ref": "hemakarapu/regression-crab-age-dataset", "kernel_id": "39370679"}, {"ref": "iqmansingh/crab-age-voting-regression-synthetic-data", "kernel_id": "39220306"}, {"ref": "ifeanyichukwunwobodo/playground-s03-ep16-stacking", "kernel_id": "39769745"}, {"ref": "ifeanyichukwunwobodo/crab-age-feature-engineering-playground-s3e18", "kernel_id": "39717167"}, {"ref": "ifeanyichukwunwobodo/playground-s03e18-grid-search-baseline", "kernel_id": "39717168"}, {"ref": "hermengardo/crab-age-prediction-eda-optuna-lgb", "kernel_id": "39202466"}, {"ref": "tanujtaneja/crab-final", "kernel_id": "39748551"}, {"ref": "quantummo0se/ensemble-crab-age-prediction-s3e16", "kernel_id": "39604451"}, {"ref": "javigallego/outliers-statistical-analysis-fe-xgb-sweep", "kernel_id": "39215076"}, {"ref": "ayushs9020/do-crabs-know-about-ai-eda", "kernel_id": "39202031"}, {"ref": "rzatemizel/flaml-ensemble-ladregression", "kernel_id": "39500066"}, {"ref": "rzatemizel/an-end-to-end-pipeline", "kernel_id": "39598790"}, {"ref": "alokkr2001/regression-with-a-crab-age-dataset", "kernel_id": "39633412"}, {"ref": "zonwie/s13e16-beginner-lightgbm-gridsearchcv", "kernel_id": "39355775"}, {"ref": "usamayousaf50/ps3-e16-multiple-models-comparison", "kernel_id": "39211155"}, {"ref": "samvelkoch/mr-eugene-harold-krabs-low-code-automl-ver-1", "kernel_id": "39206849"}, {"ref": "deepakkumar170/regression-with-a-crab-age-dataset", "kernel_id": "39273649"}, {"ref": "soraharada/play-s3e16-quick-baseline", "kernel_id": "39619704"}, {"ref": "tarifraihan/notebook0b4d07e2f0", "kernel_id": "39737528"}, {"ref": "debarghasen/competition-crab-age-dataset", "kernel_id": "39872463"}, {"ref": "kenjif/ps-3-16-catboost-hyperparameter-tuning", "kernel_id": "39467047"}, {"ref": "kenjif/ps-3-16-auto-ml-model-comparison", "kernel_id": "39202454"}, {"ref": "kenjif/ps-3-16-auto-ml-with-additional-data", "kernel_id": "39249939"}, {"ref": "kenjif/ps-3-16-light-gbm", "kernel_id": "39247523"}, {"ref": "iqbalsyahakbar/ps3e16-eda-and-ensemble-for-starters", "kernel_id": "39229187"}, {"ref": "priyanshu594/interactive-eda-submission", "kernel_id": "39255494"}, {"ref": "mattop/playground-series-s3-e16-eda-tsne", "kernel_id": "39206535"}, {"ref": "atharvbharaskar/crab-age-eda", "kernel_id": "39268915"}, {"ref": "alexbostick/boost-xgboost-regression-age-preds", "kernel_id": "39278183"}, {"ref": "utisop/1-33961-mae-score-crab-age-prediction", "kernel_id": "39790386"}, {"ref": "shamikrana/crab-age-prediction-kaggle-competition", "kernel_id": "39296848"}, {"ref": "jmviji/crab-age-competition-part-1", "kernel_id": "39884942"}, {"ref": "manishkumar7432698/crab-age-prediction", "kernel_id": "39261465"}, {"ref": "manishkumar7432698/crab-age-feature-extraction", "kernel_id": "39526257"}, {"ref": "giofis/kc1-regressioncrabage", "kernel_id": "39832905"}, {"ref": "dhanrajmalla/basic-xgboost-with-rounding-values", "kernel_id": "39209715"}, {"ref": "dhanrajmalla/basic-submission-xgboost", "kernel_id": "39206445"}, {"ref": "cybersimar08/simple-lgbm-regressor-used", "kernel_id": "39767390"}, {"ref": "chiejuwonsfx/crab-age-prediction-cjfx", "kernel_id": "39526184"}, {"ref": "fredparrela/teste1", "kernel_id": "39366655"}, {"ref": "richeyjay/regression-with-a-crab-age-dataset", "kernel_id": "39239819"}, {"ref": "gargivipat/crab-age-prediction-notebook", "kernel_id": "39354836"}, {"ref": "drmwnnrafi/ps3e16-crab-age-flaml-easy-submit", "kernel_id": "39206422"}, {"ref": "drmwnnrafi/ps3e16-crab-age-tabnet", "kernel_id": "39205240"}, {"ref": "francescoliveras/ps-s3-e16-eda-model-en-es", "kernel_id": "39208719"}, {"ref": "paulbacher/crab-age-regression-automl", "kernel_id": "39422279"}, {"ref": "paulbacher/crab-age-regression-model-selection", "kernel_id": "39343416"}, {"ref": "sarahserafini/s3e16-eda-models-diagnostic", "kernel_id": "39753530"}, {"ref": "abhijeetsinghmeena/ps3-e16-eda", "kernel_id": "39745178"}, {"ref": "satyasavith/crab-rave", "kernel_id": "39449100"}, {"ref": "aman7kumar/crab-age-ensembling-label-encoding", "kernel_id": "39220788"}, {"ref": "waalbannyantudre/crab-age-predictions-eda-f-e-modeling-10th", "kernel_id": "39914993"}, {"ref": "ksakaida/clab-age", "kernel_id": "39545169"}, {"ref": "ashx010/ps3e16-eda-feature-engineering-ml-model", "kernel_id": "39719584"}, {"ref": "abocadobaby/simple-eda-lgbmregressor", "kernel_id": "39207112"}, {"ref": "mousemice/flaml-basic-feature-engineering-0-345-lb", "kernel_id": "39441134"}, {"ref": "bedynoag/eda-modelling-hyperparameter-tuning-bayesian", "kernel_id": "39584350"}, {"ref": "sec98b4e/ps3e16-hgbm-kfold", "kernel_id": "39270736"}, {"ref": "eli2022/regression-with-a-crab-age-dataset", "kernel_id": "39638796"}, {"ref": "bradleyokeno/regression-for-crab-age-prediction", "kernel_id": "39743021"}, {"ref": "beck9797/crab-slm-mlm", "kernel_id": "39436767"}, {"ref": "tumpanjawat/ps3e16-eda-cluster-ensemble-xg-cat", "kernel_id": "39201100"}, {"ref": "kkanar/lgbm-features-parameters-from-genetic-algorithm", "kernel_id": "39936988"}, {"ref": "nazimcherpanov/crabby-old-regression-pinching-insights", "kernel_id": "39304350"}, {"ref": "milanbhor/crab-age-detection", "kernel_id": "39450001"}, {"ref": "zhiweiyoung/ps3e16-crab-score-1-3535-xgboost", "kernel_id": "39715799"}, {"ref": "awesomeharris/ps3e16-with-feature-engineering", "kernel_id": "39776470"}, {"ref": "awesomeharris/ps3e16-regression-with-a-crab-age-dataset", "kernel_id": "39226576"}, {"ref": "muhammettarkylmaz/eda-data-visualization-and-model-hyper-param", "kernel_id": "39305378"}, {"ref": "sanjanasatish68l/simple-xgboost-model-better-than-complex-models", "kernel_id": "39219774"}, {"ref": "atajanabdyyev/crab-age-regression", "kernel_id": "39503435"}, {"ref": "atajanabdyyev/random-forest-on-crab-age", "kernel_id": "39670238"}, {"ref": "ashishjagdishsharma/crabagedataset", "kernel_id": "39620429"}, {"ref": "nikoolaylovyagin/eda-catboost-lgbm-from-pycaret-blended", "kernel_id": "39300828"}, {"ref": "akshayhedau/crab-age-xgbreg-hyperparam-randomizedsearchcv", "kernel_id": "39736582"}, {"ref": "akshayhedau/crab-age-feature-engineering-score-1-39066", "kernel_id": "39857839"}, {"ref": "kaizen97/eda-base-submission", "kernel_id": "39204943"}, {"ref": "pradeepsapparapu/regression-with-a-crab-age-dataset-ps", "kernel_id": "39640400"}, {"ref": "alessandrolobello/crab-competition-1-368-mae-score", "kernel_id": "39556545"}, {"ref": "vineet30/regressionwithcrabagedataset", "kernel_id": "39491653"}, {"ref": "vstacknocopyright/crab-age-prediction-with-random-forest-extratree", "kernel_id": "39297276"}, {"ref": "mohamedouchir/crab-age-pycaret", "kernel_id": "39349308"}, {"ref": "minalijain/regression-crab-age-prediction", "kernel_id": "39538433"}, {"ref": "neupane9sujal/xgb-model", "kernel_id": "39740643"}, {"ref": "panini92/crab-age-s3e16-eda-model-comparison", "kernel_id": "39217664"}, {"ref": "kamranjameel11/datascienceproject", "kernel_id": "39822074"}, {"ref": "daraghthomas/crabs-with-weight-problems", "kernel_id": "39372283"}, {"ref": "daraghthomas/pgs3e16c-eda-xgboost", "kernel_id": "39241727"}, {"ref": "varunguttikonda/regression-with-crab-age-dataset", "kernel_id": "39603623"}, {"ref": "yantxx/regression-modeling-crab-age-prediction", "kernel_id": "39381764"}, {"ref": "vengadeshwaran58/crab-age-prediction", "kernel_id": "39270687"}, {"ref": "harshapondhugula/crab-age-s3ep16", "kernel_id": "39209775"}, {"ref": "dibya069/crab-age-ensemble-pipeline-xgboost-win", "kernel_id": "39651744"}, {"ref": "rayrishiraj/crab-regression-analysis", "kernel_id": "39276717"}, {"ref": "grantgonnerman/ps-s3-e16-eda-and-modeling", "kernel_id": "39240393"}, {"ref": "yatinaggarwal033/crab-age", "kernel_id": "39597590"}, {"ref": "d3stron/crab-age-xgboost-lgbm", "kernel_id": "39202051"}, {"ref": "mnokno/crab-age-visual-eda-assembly-model-analysis", "kernel_id": "39201098"}, {"ref": "anjusukumaran4/crab-age-dataset-eda-prediction-4-models", "kernel_id": "39292746"}, {"ref": "athrunzala/optuna-with-xgbbaseline", "kernel_id": "39304405"}, {"ref": "mohamedaminesahraoui/regression-with-a-crab-age-dataset", "kernel_id": "39239570"}, {"ref": "helpming/simpleeda-lgbm-randomsearch", "kernel_id": "39232847"}, {"ref": "bhanupratapbiswas/crab-age-baseline-by-bhanu", "kernel_id": "39423804"}, {"ref": "shenhsunliao/2023-6-8-practice", "kernel_id": "39690293"}, {"ref": "ivancanepa/neural-network-keras-predicti-n-crab-age", "kernel_id": "39241891"}, {"ref": "aesedeu/low-memory-lightgbm-p3-s3-e16-crab-challenge", "kernel_id": "39295916"}, {"ref": "cozyhn/crab2", "kernel_id": "39288272"}, {"ref": "arunklenin/ps3e16-eda-feature-engineering-ensemble", "kernel_id": "39226920"}, {"ref": "nileshthonte/crab-age-regression-eda-modelling", "kernel_id": "39757394"}, {"ref": "aigetswild/playground-series-s3-e16-eda-modeling-and-sub", "kernel_id": "39270253"}, {"ref": "natalialimanska/crab-age-investigation", "kernel_id": "39753319"}, {"ref": "alireza1h/crab-age-competition", "kernel_id": "39649759"}, {"ref": "riverallzero/basic-tabnetregressor", "kernel_id": "39555447"}, {"ref": "babatundezenith/regression-analysis-predicting-crab-age", "kernel_id": "39847674"}, {"ref": "eliassolomatin/simple-catboost-baseline-with-synth-dataset", "kernel_id": "39234406"}, {"ref": "mesutssmn/crab-age-predicion-with-some-ml-models", "kernel_id": "39717488"}, {"ref": "songsyans/easy-mlr3-xgboost", "kernel_id": "39780669"}, {"ref": "schizo3/crab-age-predict", "kernel_id": "39710323"}, {"ref": "kirtanmatalia26/crab-age-prediction-using-linear-regression", "kernel_id": "39634649"}, {"ref": "atuljo/eda-regression-lgbm-optimised-mae-1-367", "kernel_id": "39205593"}, {"ref": "atuljo/eda-catboost-mae-1-364", "kernel_id": "39639006"}, {"ref": "kiankii/regression-with-crab-age-dataset", "kernel_id": "39699829"}, {"ref": "walidmoudden/age-crab-la2-wm", "kernel_id": "39599249"}, {"ref": "walidmoudden/age-crab-la2-walid-moudden", "kernel_id": "39658511"}, {"ref": "stanislavchalyi/compet", "kernel_id": "39382289"}, {"ref": "cuizhehan/just-adjust-the-parameters", "kernel_id": "39909959"}, {"ref": "coinshot/crab-age-reggression-model", "kernel_id": "39829102"}, {"ref": "rfeng12/s3e16-easily-customizable-basic-nn", "kernel_id": "39234323"}, {"ref": "ninadaithal/crab-age", "kernel_id": "39597115"}, {"ref": "xirongcui/notebookd538a047fd", "kernel_id": "39739009"}, {"ref": "manavgupta92/p3-s3-ep16-model-run-cat-xgb-lgb-rf-lr-gb-hgb", "kernel_id": "39269613"}, {"ref": "manavgupta92/crab-age-prediction-s-eda-baseline-cat-lgb", "kernel_id": "39234849"}, {"ref": "manavgupta92/crab-last-efforts-for-best-mae-various-models", "kernel_id": "39695766"}, {"ref": "soyabulislamlincoln/crab-age-cnn-lstm", "kernel_id": "39302285"}, {"ref": "e271828ai/ps-s3-e16-basicapproach-20230601", "kernel_id": "39262056"}, {"ref": "e271828ai/ps-s3-e16-simplebaseline-en-jp-20230530", "kernel_id": "39209375"}, {"ref": "kishore3914/crab-age-prediction", "kernel_id": "39801853"}, {"ref": "avinashkumarmahato/regression-with-a-crab-age-dataset", "kernel_id": "39430036"}, {"ref": "snmahsa/regression-cost-data", "kernel_id": "39630146"}, {"ref": "gabrielfacheti/crab-age-prediction-votingregressor", "kernel_id": "39755314"}, {"ref": "penidorafael/crab-age-xgboost-with-hyperparameter-tuning", "kernel_id": "39774588"}, {"ref": "shashanknecrothapa/crabage", "kernel_id": "39383924"}, {"ref": "candlemania/crap-age-regression-baseline", "kernel_id": "39747657"}, {"ref": "donkaggle1/simple-optuna-catboost", "kernel_id": "39637003"}, {"ref": "yashkalkani/regression-with-a-crab-age-dataset", "kernel_id": "39592917"}, {"ref": "bartkmie/simple-approach-to-crab", "kernel_id": "39603162"}, {"ref": "anasalshiekhbakri/crab-age-prediction-simple-approach", "kernel_id": "39507613"}, {"ref": "erxingshen/notebookd054a53669", "kernel_id": "39632975"}, {"ref": "pandeyg0811/mae-1-33-eda-ensemble", "kernel_id": "39450228"}, {"ref": "pandeyg0811/mae-1-337-with-featureengineering-xgb", "kernel_id": "39658707"}, {"ref": "alaosarahtobi/interactive-eda-submission", "kernel_id": "39281535"}, {"ref": "kolambekalpesh/crab-age-dataset", "kernel_id": "39778616"}, {"ref": "yashs07/comp1", "kernel_id": "39526931"}, {"ref": "prthmgoyl/deeplearningmodel", "kernel_id": "39606097"}, {"ref": "whyoverfitting/lightgbm-with-gridsearchcv", "kernel_id": "39240494"}, {"ref": "joanmarcos/notebook34c83fadd6", "kernel_id": "39508683"}, {"ref": "arambarseghyan/summerproject-crabage", "kernel_id": "39282529"}, {"ref": "xgboostftw/crab-1-36-ensemble", "kernel_id": "39359415"}, {"ref": "renaldohermawan/crab-age-data", "kernel_id": "40347711"}, {"ref": "yetiag/notebookaa73f95e5e", "kernel_id": "40251432"}, {"ref": "paulopinheiro/regression-crab-age-dataset-1-34-dnn-lgbm-xgb-cat", "kernel_id": "40198004"}, {"ref": "akioonodera/for-practice-regression", "kernel_id": "40232941"}, {"ref": "akioonodera/optuna-for-practice", "kernel_id": "40672882"}, {"ref": "arqamp/crabby", "kernel_id": "40230590"}, {"ref": "akhilnambir789/notebook2806b79457", "kernel_id": "40732982"}, {"ref": "kuralamuthan300/crustacean-age-random-cv-and-xgb", "kernel_id": "40809904"}, {"ref": "ashishash303/crab-age-prediction-using-decision-tree-regressor", "kernel_id": "40983669"}, {"ref": "ayushagarwal7871/crab-age-prediction", "kernel_id": "40096948"}, {"ref": "amyrmahdy/neural-network-classification-machine-failures", "kernel_id": "40269765"}, {"ref": "jadhavpranav/beginer-guide-regression-and-randomf-for-crab-age", "kernel_id": "40491982"}, {"ref": "no0rulain/regression-for-crab-age-noorulain", "kernel_id": "40399515"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "ahmedelbashir99/crab-age", "kernel_id": "40029551"}, {"ref": "marialusa/crab-age-regression-in-r", "kernel_id": "40172010"}, {"ref": "averkovanika/crabs-multicollinearity-in-regression", "kernel_id": "40068288"}, {"ref": "debamritapaul/regression-with-a-crab-age-dataset", "kernel_id": "40354206"}, {"ref": "deepaktheanalyst/crab-age-prediction-mae-1-10058", "kernel_id": "40124190"}, {"ref": "alexanderskachkov/crabs-age-corr-vs-pca", "kernel_id": "40076778"}, {"ref": "akashkasturiya/crab-2", "kernel_id": "40200919"}, {"ref": "olegbalakin/crab-age-catboost", "kernel_id": "40048468"}, {"ref": "nadezhdao/crab-age", "kernel_id": "40134307"}, {"ref": "laparicio/crab-age-regression-1-34", "kernel_id": "40437016"}, {"ref": "aman1320/crab-age-prediction-using-linear-regression", "kernel_id": "40630844"}, {"ref": "rtkli91/pca-and-feature-importance-method-for-lr", "kernel_id": "40330330"}, {"ref": "nagoyab/notebook", "kernel_id": "40232844"}, {"ref": "glebmikh/ds71-eda-catboost-shap-err-analysis-master-class", "kernel_id": "41790401"}, {"ref": "krgaurav45/crab-age-regression", "kernel_id": "41694442"}, {"ref": "datanalystbiju/impact-of-reducing-multicollinearity", "kernel_id": "41410013"}, {"ref": "manish123kaggle/crab-age-detection-using-rf-and-ridge", "kernel_id": "41217409"}, {"ref": "visheshpanchal/crab-age-dataset-regression", "kernel_id": "41971575"}, {"ref": "hiugip/all-feature-en-sex-remove-3generated", "kernel_id": "41628352"}, {"ref": "hiugip/cat-light-xgb-ensemble", "kernel_id": "41627231"}, {"ref": "hiugip/base-full", "kernel_id": "41617680"}, {"ref": "swathiunnikrishnan/crab-age-using-regression", "kernel_id": "41454028"}, {"ref": "timurtuleuov/crab-age-eda-catboosting-submission", "kernel_id": "41154974"}, {"ref": "iahhel/crab-age-prediction-using-pycaret-lightgbm", "kernel_id": "41153865"}, {"ref": "x1akshay/crab-age-regression", "kernel_id": "41356542"}, {"ref": "deveshnegi/simple-ps3e16-analysis", "kernel_id": "41999996"}, {"ref": "vardanadibekyan/crab-age-with-svm-xgboost-catboost-score-1-365", "kernel_id": "41512820"}, {"ref": "tiagopereiradasilva/exploratory-analysis-of-crab-age-dataset-in-kaggle", "kernel_id": "41050238"}, {"ref": "sanjanasatish68l/ps3e19-forcasting-sales-with-many-models", "kernel_id": "41050599"}, {"ref": "sabienn/xgboostregr-crab-age-predictions", "kernel_id": "41675867"}, {"ref": "pavitraag/crab-age-using-regression", "kernel_id": "41863879"}, {"ref": "sauravbisht0129/regression-with-a-crab-age-dataset", "kernel_id": "41932070"}, {"ref": "yunjhee/crab-0805", "kernel_id": "41784826"}, {"ref": "mansi0123/crab-age-prediction-gradientboosting", "kernel_id": "41890536"}, {"ref": "jeongjuhyung/crab-king", "kernel_id": "41784833"}, {"ref": "suddenni/crab-age-team1", "kernel_id": "41784842"}, {"ref": "synchrocyclotron/catboost-regression", "kernel_id": "42795263"}, {"ref": "suharshmahajan/regression-on-crab-dataset", "kernel_id": "42087067"}, {"ref": "witoldnowogrski/regression-with-a-crab-age-dataset", "kernel_id": "42122535"}, {"ref": "mohamedhamad21/lin-reg", "kernel_id": "42327311"}, {"ref": "singhayush16/regression-with-a-crab-age-dataset", "kernel_id": "42246261"}, {"ref": "yazeedalsahouri03/crab-age-prediction", "kernel_id": "42465745"}, {"ref": "sachinpatil1280/crab-age-prediction-deep-learning-1-35", "kernel_id": "42174963"}, {"ref": "subramanyashenoy/regression-with-a-crab-age-dataset", "kernel_id": "42402848"}, {"ref": "waleedgamaa/analysis-and-prediction-for-age", "kernel_id": "42106664"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "serhiikharchuk/crab-0805", "kernel_id": "42734535"}, {"ref": "docxian/spotify-popularity-prediction-visual-exploration", "kernel_id": "43265730"}, {"ref": "tanpatk/crab-age-regression-using-statsmodels", "kernel_id": "43012102"}, {"ref": "mariusborel/crab-age", "kernel_id": "43550054"}, {"ref": "oyebamijimicheal/predicting-crab-ages-using-random-forest", "kernel_id": "43541602"}, {"ref": "sergeypugachevv/crab-age-regressions-comparison", "kernel_id": "43150991"}, {"ref": "jamalghobrial/crab-age", "kernel_id": "43450006"}, {"ref": "sansisalvo/crabage", "kernel_id": "43825207"}, {"ref": "ompawar9174/crab-age", "kernel_id": "43505421"}, {"ref": "geetmukherjee/predicting-crab-ages-random-forest", "kernel_id": "43547645"}, {"ref": "ebraheemriad/fork-of-notebookaf8dcd3572", "kernel_id": "43474342"}, {"ref": "valay7419/fork-of-crab-age", "kernel_id": "44920700"}, {"ref": "oran11/crabage-dataset", "kernel_id": "44767083"}, {"ref": "areekuchvrakhde/nn-adv-prompting", "kernel_id": "44671626"}, {"ref": "sasaagf/crab-s-age-predict", "kernel_id": "45077511"}, {"ref": "kritsanatlekdee/notebook5fb49b31dd", "kernel_id": "45077914"}, {"ref": "sumaiaakter213353187/regression-with-crab-age", "kernel_id": "46633140"}, {"ref": "elsayednashaat/regression-with-crabage", "kernel_id": "47570526"}, {"ref": "dineshkumardk24/crab-age-submission", "kernel_id": "47787266"}, {"ref": "saliharanauzun/regression-with-a-crab-age-dataset", "kernel_id": "48654877"}, {"ref": "malaikasada/final-term-malaika-randomforestmodel", "kernel_id": "48197873"}, {"ref": "inversion/synthetic-crab-age-competition-data", "kernel_id": "49543403"}, {"ref": "akshitaakshita/regression-basic-code", "kernel_id": "49793543"}, {"ref": "piyush1234ggfuvi/crab-age-regression", "kernel_id": "49793825"}, {"ref": "harshitarya003/crab-age-regression-basic-code", "kernel_id": "49649544"}, {"ref": "goyalharshit03/make-synthetic-crab-age-data", "kernel_id": "50148104"}, {"ref": "mannatsadana/regression-crab-age-dataset", "kernel_id": "50451795"}, {"ref": "amanaayush/regression-with-a-crab-age-dataset-a7a970", "kernel_id": "50115662"}, {"ref": "somya2115/regression", "kernel_id": "50254696"}, {"ref": "arshiyakishore/crab-age-regression-basic-code", "kernel_id": "50097027"}, {"ref": "yatharthgautam123789/crab-age-prediction", "kernel_id": "50097330"}, {"ref": "ishita1802/crab-regression", "kernel_id": "50914991"}, {"ref": "raghavdargan/regression-with-crab-dataset", "kernel_id": "50856066"}, {"ref": "harshitrajpal2508/notebook42a8a2ddc0", "kernel_id": "50785973"}, {"ref": "swasti19/notebookeb9b173090", "kernel_id": "50467955"}, {"ref": "udaysharma007/crab-age-prediction", "kernel_id": "50729677"}, {"ref": "jjjjjjjjfdgdg/crab-age", "kernel_id": "50475654"}, {"ref": "arushibashambu/crab-age", "kernel_id": "50830320"}, {"ref": "priyanshu54200/crab-age-dataset-ps-ml", "kernel_id": "50378167"}, {"ref": "sakshigoyal001/crabage", "kernel_id": "50892160"}, {"ref": "alexisvannaire/regression-with-a-crab-age-dataset", "kernel_id": "51842020"}, {"ref": "kacperma/krabs-v0-1", "kernel_id": "51242620"}, {"ref": "manmeetkaursidhu/regression-with-crab-dataset", "kernel_id": "51081320"}, {"ref": "manvendrarajsingh/notebook6319824ec8", "kernel_id": "51573073"}, {"ref": "tarushirastogi/crabage-prediction", "kernel_id": "51404780"}, {"ref": "akshita0560/regression-with-a-crab-age-dataset", "kernel_id": "51915813"}, {"ref": "somyamathur1014/crab-age-prediction-xgb-feat-engineer-mae-1-22", "kernel_id": "51517763"}, {"ref": "arryuannkhanna123/regression-simple-solution", "kernel_id": "51528369"}, {"ref": "salonijaroli/crab-age-prediction", "kernel_id": "51269262"}, {"ref": "salonijaroli/crab-age-prediction-saloni", "kernel_id": "51270248"}, {"ref": "neelakshigupta/regression-with-a-crab-age", "kernel_id": "51918541"}, {"ref": "raghav723/crab-age-prediction", "kernel_id": "51586847"}, {"ref": "lookitskhushboo/notebook-1", "kernel_id": "51128178"}, {"ref": "shivamvermathapar/crab-age-regression", "kernel_id": "51483675"}, {"ref": "rohanthakur336/regression-with-a-crab-age-dataset", "kernel_id": "51951582"}, {"ref": "bhavyabhalla2701/predict-crab-age-bhavya-bhalla", "kernel_id": "51106839"}, {"ref": "grandmastershaurya/ensemble-ml-pipeline", "kernel_id": "51043845"}, {"ref": "adityagoel2205/crab-age-prediction", "kernel_id": "51442851"}, {"ref": "bhavikasaini/crab-age-prediction-using-linear-regression", "kernel_id": "51511096"}, {"ref": "anipreetsingh/notebookc2039de25c", "kernel_id": "51531993"}, {"ref": "anipreetsingh/notebook1d023789f5", "kernel_id": "51531909"}, {"ref": "anipreetsingh/crab-age-prediction", "kernel_id": "51531889"}, {"ref": "saranshthegoat/smj-s-regression-with-a-crab-age-dataset", "kernel_id": "51632113"}, {"ref": "parulkumartiet/regression-with-crab-age", "kernel_id": "51106385"}, {"ref": "kaushalkrishna2000/playground-s3e16-crab-regression-normal-wora", "kernel_id": "52205131"}, {"ref": "rishitaverma02/regression-with-a-crab-age-dataset", "kernel_id": "53600767"}, {"ref": "cdr0101/crab-age-regression", "kernel_id": "53969797"}, {"ref": "nitleenk/crab-age-regression", "kernel_id": "54866909"}, {"ref": "himaanishaggarwal/regression-with-a-crab-age-dataset", "kernel_id": "54261811"}, {"ref": "harshitstark/regression-with-a-crab-age-dataset", "kernel_id": "54679307"}, {"ref": "tanishas2024/crab-age-dataset", "kernel_id": "54548312"}, {"ref": "omarfahmyelsharabasy/crab-age-regression", "kernel_id": "55570481"}, {"ref": "sathishgsmss/crabagepredictore", "kernel_id": "56420052"}, {"ref": "funxexcel/dsm-carb-age-base-pipeline-1", "kernel_id": "59353327"}, {"ref": "rajeshkgl/project-s3ep16", "kernel_id": "60353305"}, {"ref": "ahmedshetaia/regression-with-crap-age", "kernel_id": "62604118"}, {"ref": "ssyyhh/eda-of-crab-with-prediction-of-age", "kernel_id": "62145311"}, {"ref": "nikola6453/crab-age-prediction", "kernel_id": "64708372"}, {"ref": "nicky32770/baseline", "kernel_id": "65354787"}, {"ref": "metinhsimimi/crap-age-eda-and-regression-rmse-1-3", "kernel_id": "65677695"}, {"ref": "anirudhsub/crab-random-forest-from-scratch", "kernel_id": "71943336"}, {"ref": "ksmooi/predicting-crab-age-seblock-glu-resnet", "kernel_id": "71306934"}, {"ref": "kaushalkrishna2000/playground-s3e16-crab-regression-tensorflow-wora", "kernel_id": "73626064"}, {"ref": "sammy2278/data-science-crab-age1", "kernel_id": "73408378"}, {"ref": "kevindjoumessiwoumpe/crab-age-prediction-deep-learning-1-35", "kernel_id": "74384261"}, {"ref": "penbenur/crab-age-prediction", "kernel_id": "80098501"}, {"ref": "salsabilanmahmudah/crab-age-prediction-with-rf-log-r-and-knn", "kernel_id": "81487519"}, {"ref": "tomaszkawiak/krabusie", "kernel_id": "82617053"}, {"ref": "jaimeperezgil/crab-age-jaime", "kernel_id": "92674705"}, {"ref": "enesyama/crabage-regression", "kernel_id": "107878337"}, {"ref": "sevvalclalcebeciolu/regression-with-a-crab-age-dataset", "kernel_id": "109337159"}, {"ref": "omeraydin1/crap-age-dl-prediction", "kernel_id": "115262211"}, {"ref": "hiugip/pipeline", "kernel_id": "119807275"}, {"ref": "zqx960151285/regression-with-a-crab-age-dataset", "kernel_id": "130347837"}, {"ref": "toshiboya/t-crab-age", "kernel_id": "134536314"}]}
{"competition_id": "51997", "kernels": []}
{"competition_id": "52002", "kernels": []}
{"competition_id": "52007", "kernels": []}
{"competition_id": "52009", "kernels": [{"ref": "wordcards/rule-based-solution-predict-swing", "kernel_id": "37950434"}, {"ref": "bentrevett/catboost-on-type-attack-zone-strikes", "kernel_id": "38073914"}, {"ref": "datalab351/predict-pitch-swings", "kernel_id": "38816651"}, {"ref": "yaobvs/nickwanswing2", "kernel_id": "38558599"}, {"ref": "derikvo/nwds-xswing", "kernel_id": "38003679"}, {"ref": "seanfector/2023-05-19-xswing-notebook", "kernel_id": "38746972"}]}
{"competition_id": "52012", "kernels": [{"ref": "danipipe777/af-ii-2023-i-object-localization", "kernel_id": "37622784"}]}
{"competition_id": "52031", "kernels": []}
{"competition_id": "52039", "kernels": [{"ref": "wordcards/geospatial-eda-electric-power", "kernel_id": "37690451"}, {"ref": "derrickkuria/eda-electric-power", "kernel_id": "37699054"}, {"ref": "yutoshimomura/pytorch-simple-baseline", "kernel_id": "37847075"}, {"ref": "kentak0928/host-baseline-lightgbm-prediction-electric-power", "kernel_id": "37643025"}, {"ref": "kentak0928/host-quick-eda-1-0-prediction-of-electric-power", "kernel_id": "37640413"}, {"ref": "toru59er/autolightgbm-simple-baseline-14-1049", "kernel_id": "37806784"}, {"ref": "toru59er/lightgbm-simple-baseline", "kernel_id": "37813979"}, {"ref": "toru59er/tableau-like-eda-library", "kernel_id": "37896736"}, {"ref": "ainocapm/eda-tried-various-methods", "kernel_id": "37820388"}, {"ref": "onurkoc83/japanese-turkish-brotherhood-score-13-84", "kernel_id": "37983253"}, {"ref": "aman7kumar/power-predction", "kernel_id": "37777862"}, {"ref": "pradeepsapparapu/prediction-of-electric-power-eda-model-sub", "kernel_id": "37857548"}, {"ref": "sukini/logx-of-baseline-lightgbm-prediction", "kernel_id": "37721717"}, {"ref": "metehanpolat1705/electricpower", "kernel_id": "38406508"}, {"ref": "kentarokondo/notebook036e714daa", "kernel_id": "38760421"}, {"ref": "celebi07/electric-power", "kernel_id": "38231666"}, {"ref": "kvnsci/predict001", "kernel_id": "38112493"}, {"ref": "manavgupta92/power-prediction-simple-and-easy-to-understand", "kernel_id": "38747631"}, {"ref": "monotakumisato/electric-power-reg", "kernel_id": "38354967"}, {"ref": "yasutty/notebook4574ab65dc", "kernel_id": "38264628"}, {"ref": "ahmetyldrr/power-predict-lightgbm-15-6152", "kernel_id": "39124499"}, {"ref": "hayatoyoneda/prediction-of-electric-power-pub", "kernel_id": "39349729"}, {"ref": "ryotaichikawa/simple-catboost-model", "kernel_id": "39785591"}, {"ref": "yoshimanaminorisa/nn-230610", "kernel_id": "39787931"}, {"ref": "narminr/electric-power-pred-with-xgboost", "kernel_id": "39367790"}, {"ref": "manavgupta92/power-prediction-rank-50-catboost", "kernel_id": "39593275"}, {"ref": "smruthiiii/prediction-of-electric-power", "kernel_id": "40181526"}, {"ref": "yoshimanaminorisa/power-prediction-using-lightgbm-230618", "kernel_id": "40105045"}]}
{"competition_id": "52044", "kernels": []}
{"competition_id": "52046", "kernels": [{"ref": "vismaysuramwar/som-clustering-ipynb", "kernel_id": "38847194"}]}
{"competition_id": "52047", "kernels": []}
{"competition_id": "52074", "kernels": []}
{"competition_id": "52078", "kernels": []}
{"competition_id": "52080", "kernels": []}
{"competition_id": "52090", "kernels": []}
{"competition_id": "52102", "kernels": [{"ref": "abeerkasem/nlp-project-1", "kernel_id": "37883552"}, {"ref": "hadeeladnanali/nlptask", "kernel_id": "38947692"}, {"ref": "obadaezzaldin013/notebookc26ab205ef", "kernel_id": "38983692"}, {"ref": "abduulrahmankhalid/end-to-end-movie-reviews-sentiment-prediction", "kernel_id": "39149544"}, {"ref": "hadeeladnanali/movie-reviews-sentiment", "kernel_id": "55177844"}]}
{"competition_id": "52103", "kernels": []}
{"competition_id": "52131", "kernels": []}
{"competition_id": "52168", "kernels": [{"ref": "norhanfaridelnady/notebook43656fae8a", "kernel_id": "66593258"}]}
{"competition_id": "52194", "kernels": []}
{"competition_id": "52221", "kernels": []}
{"competition_id": "52254", "kernels": [{"ref": "ekvongpanharith/rsna-andominal-detection", "kernel_id": "29204973"}, {"ref": "anttiisosalo/create-pyradiomics-wheel", "kernel_id": "35476168"}, {"ref": "srilathachebrolu/rsna-cervical-spine", "kernel_id": "36797132"}, {"ref": "yeonghyeon/rsna23-easy-dicom-confirmation-volume-generation", "kernel_id": "41500793"}, {"ref": "anoukstein/dcm-to-coronal-videoframes-masks", "kernel_id": "41505712"}, {"ref": "coderrkj/rsna-2023-abdomen-dicom-standardized-dataset", "kernel_id": "41685480"}, {"ref": "docxian/rsna-2023-abdominal-trauma-dependency-of-targets", "kernel_id": "41504870"}, {"ref": "joebeachcapital/rsna-eda-starter", "kernel_id": "41482226"}, {"ref": "vinitkp/r-eda-of-csv", "kernel_id": "41683256"}, {"ref": "vinitkp/rsna-trauma-detection", "kernel_id": "41649621"}, {"ref": "theoviel/get-started-quicker-dicom-png-conversion", "kernel_id": "41492732"}, {"ref": "aritrag/eda-train-csv", "kernel_id": "41852170"}, {"ref": "aritrag/kerascv-starter-notebook-train", "kernel_id": "41861183"}, {"ref": "aritrag/kerascv-starter-notebook-infer", "kernel_id": "41892989"}, {"ref": "timonpalm/rsna-3d-images", "kernel_id": "41977243"}, {"ref": "stpeteishii/abdominal-trauma-dicom-image-type-classify", "kernel_id": "41623590"}, {"ref": "stpeteishii/abdomnal-trauma-histplot", "kernel_id": "41772735"}, {"ref": "stpeteishii/abdominal-trauma-dicom-to-png", "kernel_id": "41692418"}, {"ref": "stpeteishii/abdominal-trauma-unet", "kernel_id": "41841551"}, {"ref": "stpeteishii/segmentation-image-of-the-matched-id", "kernel_id": "41820087"}, {"ref": "stpeteishii/one-patient-images-slide-show", "kernel_id": "41811458"}, {"ref": "quan0095/dicom-to-jpg", "kernel_id": "41481493"}, {"ref": "quan0095/dicom-to-2-5d-jpg-1500-2500", "kernel_id": "41493977"}, {"ref": "quan0095/dicom-to-2-5d-jpg-2500-end", "kernel_id": "41493998"}, {"ref": "quan0095/dicom-to-2-5d-jpg-0-1100", "kernel_id": "41485233"}, {"ref": "quan0095/baseline-submission", "kernel_id": "41517702"}, {"ref": "harsha1999/rsna-2-5d-cnn-training-pytorch", "kernel_id": "41779647"}, {"ref": "harsha1999/eda-with-3d-visualization", "kernel_id": "41742188"}, {"ref": "artemzapara/rsna-2023-abdominal-trauma-detection-eda", "kernel_id": "41849450"}, {"ref": "mpwolke/release-the-nifti-nii", "kernel_id": "41675620"}, {"ref": "mpwolke/python-knights-who-say-nii", "kernel_id": "41575304"}, {"ref": "mpwolke/abdominal-trauma-ray", "kernel_id": "41478819"}, {"ref": "mpwolke/abdominal-trauma-parquet-upsetplot", "kernel_id": "41513453"}, {"ref": "awsaf49/rsna-atd-512x512-png-v2-data", "kernel_id": "41540764"}, {"ref": "awsaf49/rsna-atd-cnn-tpu-train", "kernel_id": "41508578"}, {"ref": "awsaf49/rsna-atd-cnn-tpu-infer", "kernel_id": "41511547"}, {"ref": "b11gden/rsna-2023-segmentation-visualization-with-plotly", "kernel_id": "41498493"}, {"ref": "jigarbhanderi/eda-baseline-tf-model-reg", "kernel_id": "41659190"}, {"ref": "franklinshih0617/rsna-abdominal-trauma-detect-eda-animation", "kernel_id": "41484339"}, {"ref": "davidjohnmillard/rsna-atd-pre-processing", "kernel_id": "41575021"}, {"ref": "parhammostame/construct-3d-arrays-from-dcm-nii-3-view-angles", "kernel_id": "41786567"}, {"ref": "parhammostame/real-3d-interactive-visualization-of-organs", "kernel_id": "41818190"}, {"ref": "yasinadyaman/stats", "kernel_id": "41850141"}, {"ref": "syntheticprogrammer/rsna-2023-eda", "kernel_id": "41882892"}, {"ref": "jocelyndumlao/unleashing-the-healing-potential-abdominal-trauma", "kernel_id": "41515590"}, {"ref": "matthewmaddock/rsna-trauma-detection-resnet", "kernel_id": "41883706"}, {"ref": "jakebrusca/rsna23-weighted-mean-baseline", "kernel_id": "41545138"}, {"ref": "rasoulisaeid/interactive-visualization-of-3d-slides", "kernel_id": "41863425"}, {"ref": "satyaprakashshukl/eda-abdominal-detection", "kernel_id": "41566576"}, {"ref": "satyaprakashshukl/convert-segmentation-files-to-nii", "kernel_id": "41628174"}, {"ref": "mostafatarek00/notebook9045e42e1d", "kernel_id": "41805597"}, {"ref": "mostafatarek00/fork-of-notebooke39665a3e7", "kernel_id": "41806513"}, {"ref": "prashantverma13/rsna-2023-atd-in-depth-analysis-and-eda", "kernel_id": "41941684"}, {"ref": "abhishek123maurya/rsna-eda-understanding-the-data-first", "kernel_id": "41584253"}, {"ref": "ayushs9020/understanding-the-competition-rsna", "kernel_id": "41487103"}, {"ref": "ayushs9020/dicom-to-npy-correct-conversion", "kernel_id": "41565926"}, {"ref": "kirtirajsinhparmar/rsna23-weighted-mean-baseline", "kernel_id": "41726143"}, {"ref": "thikhuyenle/eda-preprocessing", "kernel_id": "41662141"}, {"ref": "akekowsik/abdominal-trauma-detection", "kernel_id": "41862534"}, {"ref": "johnsonchishimba/rsna-atd-2023-eda", "kernel_id": "41981339"}, {"ref": "yuanjianli/tf-torch-wandb-tutorial-for-beginner", "kernel_id": "41649640"}, {"ref": "yuanjianli/a-simple-cnn-traning-example", "kernel_id": "41758219"}, {"ref": "yuanjianli/a-typical-torch-pipeline-nobody-to-somebody", "kernel_id": "41952735"}, {"ref": "yuanjianli/eda-with-animation-beginnerfriendly", "kernel_id": "41486366"}, {"ref": "huiminglin/rsna-2023-abdomen-dicom-standardization", "kernel_id": "41435994"}, {"ref": "victorshlepov/1st-step-to-3d-eda-and-dicom-to-nifti-transform", "kernel_id": "41921893"}, {"ref": "vishakkbhat/rsna23-weighted-mean-baseline", "kernel_id": "41585710"}, {"ref": "ssalibenjamin/abdominal-trauma-detection", "kernel_id": "41869397"}, {"ref": "bvinning/interactive-viewing-of-scans-and-segmentations", "kernel_id": "41596434"}, {"ref": "bvinning/rsna-23-i-series-normalisation", "kernel_id": "41726474"}, {"ref": "satheeshbhukya1/abdominal-trauma", "kernel_id": "41901065"}, {"ref": "jawadahmad4605/abcdef", "kernel_id": "41987104"}, {"ref": "farhanashraf2000/eda-csv", "kernel_id": "41865277"}, {"ref": "farhanashraf2000/submission-csv", "kernel_id": "41865552"}, {"ref": "soyabulislamlincoln/abdominal-trauma-dcom-png-single-image", "kernel_id": "41844227"}, {"ref": "makuermakuerial/notebook8784e22816", "kernel_id": "41889366"}, {"ref": "montassarbenyahia/rsna-atd-cnn-tpu-train", "kernel_id": "41995071"}, {"ref": "jina3784/kaggle-test", "kernel_id": "41875114"}, {"ref": "hengck23/lb0-55-2-5d-3d-sample-model", "kernel_id": "42819007"}, {"ref": "renatoms88/notebookc86242e8db", "kernel_id": "42400163"}, {"ref": "usharengaraju/yolov8-kerascv-w-b", "kernel_id": "42029274"}, {"ref": "rickpack/rsna23-weighted-mean-baseline-scale-adj-at-end", "kernel_id": "42569974"}, {"ref": "finlay/rsna-training", "kernel_id": "42522904"}, {"ref": "finlay/rsna-prediction", "kernel_id": "42526815"}, {"ref": "j2letters/rsna-2023-eda", "kernel_id": "42694411"}, {"ref": "j2letters/kerascv-train-grad-cam-aug-patient-split", "kernel_id": "42853541"}, {"ref": "narareddy/abdominal-trauma-detection", "kernel_id": "42951753"}, {"ref": "pcjimmmy/rsna-submission-pc-jimmmy", "kernel_id": "42471784"}, {"ref": "coderrkj/rsna-atd-cnn-tpu-infer-corrections", "kernel_id": "42048257"}, {"ref": "dntrply/list-rsna-2023-abdominal-trauma-detection-files", "kernel_id": "42122120"}, {"ref": "lavrikovav/al-rsnaatd-pl-pipeline-700-channels", "kernel_id": "42038859"}, {"ref": "alenic/dataset-size-reduction-400gb-to-7-5gb", "kernel_id": "42263475"}, {"ref": "alenic/simple-3d-visualization", "kernel_id": "42100698"}, {"ref": "umar47/rsna-simple-pytorch-cnn-pipeline", "kernel_id": "42588720"}, {"ref": "wj66x419/pytorch-cnn-baseline-model", "kernel_id": "42744619"}, {"ref": "gabrielrudloff/rsna-atd-512x512-png-cropped", "kernel_id": "42608755"}, {"ref": "stpeteishii/abdominal-trauma-unet-target-organ", "kernel_id": "42088826"}, {"ref": "gunesevitan/rsna-2023-abdominal-trauma-detection-inference", "kernel_id": "42129213"}, {"ref": "lwr6608/rsna-2023", "kernel_id": "42840816"}, {"ref": "quan0095/baseline-submission-image-level", "kernel_id": "42504373"}, {"ref": "harsha1999/dicom-images-3d-tensors", "kernel_id": "42290876"}, {"ref": "anmspro/rsna-0-66-lb", "kernel_id": "42754774"}, {"ref": "chrisrichardmiles/rsna-ab-trauma-eda", "kernel_id": "42452325"}, {"ref": "chrisrichardmiles/rsna-ab-trauma-optimized-constant", "kernel_id": "42536058"}, {"ref": "altondsouza1998/rsna-2023-work", "kernel_id": "42157691"}, {"ref": "averma111/pytorch-rsna-2023", "kernel_id": "42234297"}, {"ref": "awsaf49/rsna-atd-2-5d-series-image-train", "kernel_id": "42091304"}, {"ref": "awsaf49/rsna-atd-2-5d-series-image-infer", "kernel_id": "42091655"}, {"ref": "tchaye59/attributeerror-augmenter-not-found", "kernel_id": "42691715"}, {"ref": "sjoerdgnodde/visualizations-rsna-challenge-at-detection", "kernel_id": "42284505"}, {"ref": "arminajdehnia/rsna-2023-deep-insight-tfx", "kernel_id": "42231576"}, {"ref": "arminajdehnia/rsna-2023-read-dicom-methods", "kernel_id": "42246816"}, {"ref": "greysky/rsna-segmentation", "kernel_id": "42717046"}, {"ref": "gamebo11/rsna-2023-initial-eda", "kernel_id": "42875581"}, {"ref": "aliabdin1/how-does-quantization-work", "kernel_id": "42692393"}, {"ref": "neerajkaroshi/rsna-atd-yolov8-inference", "kernel_id": "42739644"}, {"ref": "neerajkaroshi/rsna-train-keras-yolov8", "kernel_id": "42733973"}, {"ref": "shyamgupta196/using-fastai", "kernel_id": "42893893"}, {"ref": "sumedhaswayansidha/rsna-atd-fileread", "kernel_id": "42453518"}, {"ref": "hemanthhari/rsna-dcm-to-png", "kernel_id": "42211875"}, {"ref": "franklinshih0617/cnn-training-with-png", "kernel_id": "42634430"}, {"ref": "franklinshih0617/overlay-segmentations-segmentator-images-on-dcm", "kernel_id": "42008338"}, {"ref": "franklinshih0617/trying-cnn", "kernel_id": "42329776"}, {"ref": "mirenaborisova/rsna-1", "kernel_id": "42303116"}, {"ref": "mirenaborisova/rsna-dcm-images-display", "kernel_id": "42360441"}, {"ref": "mirenaborisova/rsna-nii-files-3d-scatterplot", "kernel_id": "42381030"}, {"ref": "mirenaborisova/rsna-0-66-lb", "kernel_id": "42484827"}, {"ref": "mirenaborisova/rsna-features-correlation", "kernel_id": "42542565"}, {"ref": "mirenaborisova/rsna-reduced-dcm-to-jpeg-images", "kernel_id": "42559972"}, {"ref": "philipkopylov/kerascv-starter-notebook-train", "kernel_id": "42993006"}, {"ref": "hundred3421/rsna-2023-atd-data-test", "kernel_id": "42931315"}, {"ref": "davidjohnmillard/rsna-atd-tfrecord", "kernel_id": "42038521"}, {"ref": "chauyh/rsna-ct-types-check-fail", "kernel_id": "42110317"}, {"ref": "chauyh/rsna-shape-2-3-fail", "kernel_id": "42110012"}, {"ref": "chauyh/rsna-shape-3d-success", "kernel_id": "42110050"}, {"ref": "chauyh/rsna-pixel-array-loading-fail", "kernel_id": "42110077"}, {"ref": "chauyh/rsna-files-ends-with-dcm-success", "kernel_id": "42110105"}, {"ref": "chauyh/rsna-pixel-array-100", "kernel_id": "42208003"}, {"ref": "chauyh/kerascv-starter-notebook-infer-fork-stride-1", "kernel_id": "42207907"}, {"ref": "chauyh/kerascv-starter-notebook-infer-fork-stride-10", "kernel_id": "42207932"}, {"ref": "chauyh/rsna-pixel-array-all", "kernel_id": "42207948"}, {"ref": "nreshma/pytorch-rsna-2023-abdominal-trauma-detection", "kernel_id": "42896610"}, {"ref": "parhammostame/aortic-hu-detailed-investigation", "kernel_id": "42672289"}, {"ref": "lakmaligamage/exploring-ct-scans-and-their-segmentations", "kernel_id": "42191449"}, {"ref": "jaimecastillo/local-overfit-search-baseline", "kernel_id": "42433136"}, {"ref": "noir3747/rsna-v1", "kernel_id": "42820698"}, {"ref": "zhiyiho/kerascv-starter-notebook-infer", "kernel_id": "42651734"}, {"ref": "shota395/the-dcm-image-is-converted-to-gif-animation", "kernel_id": "42971024"}, {"ref": "yutoshimomura/rsna-2023-atd-segmentation-eda", "kernel_id": "42808472"}, {"ref": "johnycoder/rsna-inference", "kernel_id": "42781829"}, {"ref": "johnycoder/rsna-make-dataset-segmentation", "kernel_id": "42595357"}, {"ref": "samuelakintajuwa/rsna-abdominal-trauma-detection-dev", "kernel_id": "42906468"}, {"ref": "witoldnowogrski/abdominal-trauma-detection-eda", "kernel_id": "42601189"}, {"ref": "witoldnowogrski/abdominal-trauma-detection-efficientnet-pytorch", "kernel_id": "42739296"}, {"ref": "diptopodder/notebookbc07580730", "kernel_id": "42017764"}, {"ref": "amanmukati/rsna-abdominal-2023", "kernel_id": "42615875"}, {"ref": "rickylu/rsna2023-abd-infer-3dcnn", "kernel_id": "42846027"}, {"ref": "kamalsouadi/kerascv-starter-notebook-train", "kernel_id": "42858832"}, {"ref": "vassiliph/rsna23-all-healthy-baseline", "kernel_id": "42783627"}, {"ref": "michaelfei/rnsatraumabowel", "kernel_id": "42036630"}, {"ref": "maxsemakov/totalsegmentator-offline-work", "kernel_id": "42633389"}, {"ref": "magnussesodia/rsna-2023-abdominal-trauma-detection-eda", "kernel_id": "42783226"}, {"ref": "hoanganhdsai/rsna-atd-vit-infer", "kernel_id": "42932563"}, {"ref": "north344/resample-with-simpleitk-for-test-set", "kernel_id": "42224856"}, {"ref": "tejomanasa/abdominal-nii-1", "kernel_id": "42831294"}, {"ref": "tejomanasa/conversion-5-6", "kernel_id": "42890910"}, {"ref": "tejomanasa/abdominal-trauma-excel", "kernel_id": "42919011"}, {"ref": "limamateus/rsna-other-parameters", "kernel_id": "42995430"}, {"ref": "justincheigh/rsna-atd-pytorch-lightning-w-b-resnet", "kernel_id": "42532143"}, {"ref": "sreelakshmik9/rsna-submission", "kernel_id": "42696504"}, {"ref": "chrisk321/rsna-2023-initial-eda-image-viewing-in-r", "kernel_id": "42559436"}, {"ref": "michaszafarczyk/ct-scan-interactive-viewer-updated-16-08-2023", "kernel_id": "42162130"}, {"ref": "bvinning/rsna-23-ii-predicting-segmentations-with-vnet", "kernel_id": "42115252"}, {"ref": "yasithakavishka/rsna-datasetcreate", "kernel_id": "42601852"}, {"ref": "kensomeya/dicom-to-3dnumpy", "kernel_id": "42190060"}, {"ref": "kensomeya/dicom-file-to-3dnumpy-segmetation-by-each-organ", "kernel_id": "42226477"}, {"ref": "kensomeya/same-shape-3d-numpy-data", "kernel_id": "42237492"}, {"ref": "rsbuvan/rsna-abdominal-trauma-detection-rsna", "kernel_id": "42035383"}, {"ref": "rsbuvan/rsna-cnn", "kernel_id": "42748505"}, {"ref": "rsbuvan/rsna-atd-analysis", "kernel_id": "42693136"}, {"ref": "rsbuvan/efficientnet-v1-model", "kernel_id": "42627636"}, {"ref": "charleschuang/eda-cor-analysis-for-injury-status-using-r", "kernel_id": "42096547"}, {"ref": "pankajpansari/baseline-1-2d-cnn-image-level-inference", "kernel_id": "42625712"}, {"ref": "pankajpansari/rsna-2023-atd-dataset-utils", "kernel_id": "42582825"}, {"ref": "pankajpansari/baseline-0-weighted-mean-probabilities", "kernel_id": "42491932"}, {"ref": "pankajpansari/baseline-1-2d-cnn-image-level-prediction-train", "kernel_id": "42347039"}, {"ref": "mutasimbillahnoman/rsna-2-5d-cnn-training-pytorch", "kernel_id": "42818110"}, {"ref": "tyjh22005/resnet-infer", "kernel_id": "42680791"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "jasonheesanglee/rsna23-scale-h-implementation", "kernel_id": "42179746"}, {"ref": "enriquezaf/totalsegmentator-offline", "kernel_id": "42286363"}, {"ref": "enriquezaf/rsna-atd-all-supine-check", "kernel_id": "42433006"}, {"ref": "aryangarg01/understanding-dicom-using-pydicom-for-ml", "kernel_id": "42298818"}, {"ref": "juliengenzling/rnsa2023-complete-eda", "kernel_id": "42284884"}, {"ref": "salsalgorani/kerascv-starter-mod", "kernel_id": "42378625"}, {"ref": "kamrantanwari/rsna-ultimate-eda-train-inference", "kernel_id": "42354491"}, {"ref": "malabhbakshi/starter-notebook-rsna", "kernel_id": "42426269"}, {"ref": "sreekanthpolu/rsna-in-simple-easiest-way", "kernel_id": "42516940"}, {"ref": "sreekanthpolu/rsna-2023-abdominal-trauma-detection", "kernel_id": "42023524"}, {"ref": "inoueyuma/rsna-atd-2-5d-series-image-train-anyinjury", "kernel_id": "42551877"}, {"ref": "inoueyuma/kerascv-starter-notebook-train-anyinjury", "kernel_id": "42631195"}, {"ref": "llleeeoooh/rsna-atd-2023-data-preprocess", "kernel_id": "42600310"}, {"ref": "cokkies/rsna-prediction", "kernel_id": "42971688"}, {"ref": "jina3784/tpu-use-train", "kernel_id": "42573494"}, {"ref": "jina3784/mobilenet-test", "kernel_id": "42810350"}, {"ref": "jina3784/mobilenet", "kernel_id": "42810485"}, {"ref": "ueight8/cnn-road-map", "kernel_id": "42850539"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "something4kag/rsna-2023-ab-trauma-visual-extravasation", "kernel_id": "43367759"}, {"ref": "rickpack/r-kerascv-wtmean-avg-in-progress", "kernel_id": "43292213"}, {"ref": "j2letters/rsna-2023-vit-3d-multigpu", "kernel_id": "43717300"}, {"ref": "j2letters/rsna-2023-dataset-5mm-slices-pt", "kernel_id": "43704551"}, {"ref": "noam1977/resizing-dicom", "kernel_id": "43723623"}, {"ref": "yeeseng/rsna2023abdtrauma-submission-8", "kernel_id": "43816325"}, {"ref": "vinitkp/rsna-abdominal-trauma", "kernel_id": "43560983"}, {"ref": "theoviel/rsna-abdomen-packages", "kernel_id": "43291363"}, {"ref": "theoviel/rsna-abdominal-inf", "kernel_id": "43289913"}, {"ref": "gabrielrudloff/monai-dicom", "kernel_id": "43102597"}, {"ref": "stpeteishii/abdominal-trauma-rgb-mask-unet", "kernel_id": "43141406"}, {"ref": "ashery/rsna-2023-abdominal-trauma-detection-inference", "kernel_id": "43240636"}, {"ref": "ashery/rsna-2023-abdominal-trauma-detection-training", "kernel_id": "43074851"}, {"ref": "madquer/rsna-inference-6th-solution", "kernel_id": "43792948"}, {"ref": "chrisrichardmiles/rsna-2023-train-stage1-seg-mask", "kernel_id": "43997883"}, {"ref": "chrisrichardmiles/rsna23-dicom-to-3d-array-128x128x128-fixed", "kernel_id": "43954129"}, {"ref": "rohitdileep/customresnet18", "kernel_id": "43760391"}, {"ref": "debapriyasamal/notebooka4bbd03870", "kernel_id": "43637573"}, {"ref": "sanghyunlee94/rsna-2-5d-cnn-inference-pytorch", "kernel_id": "43953408"}, {"ref": "sarashahin/rsna-2023-abdominal-trauma-detection", "kernel_id": "43878907"}, {"ref": "ataracsia/rsna-atd-convnextv2-tiny-1k-224", "kernel_id": "43374986"}, {"ref": "arkadiptachatterjee/kerascv-starter-notebook-infer", "kernel_id": "43908617"}, {"ref": "goldmako/abdominal-trauma-detection-efficientnet", "kernel_id": "43828115"}, {"ref": "krsushantsk/rsna-abdominal-trauma-detection-train", "kernel_id": "43755220"}, {"ref": "theobervanakis/rsna-bowel-injury-train", "kernel_id": "43756545"}, {"ref": "kirtirajsinhparmar/sam-med2d", "kernel_id": "43124458"}, {"ref": "kirtirajsinhparmar/rsna-atd-cnn-tpu-infer", "kernel_id": "43123292"}, {"ref": "kirtirajsinhparmar/rsna-abdominal-2023", "kernel_id": "43451147"}, {"ref": "chenboluo/rsna-training", "kernel_id": "43483253"}, {"ref": "magnussesodia/exploring-kerascv-for-rsna-trauma", "kernel_id": "43150846"}, {"ref": "hoanganh2704/2-5d-infer-torchversion", "kernel_id": "43406444"}, {"ref": "hoanganh2704/rsna-atd-2-5d-series-image-train", "kernel_id": "43192800"}, {"ref": "hoanganh2704/rsna-atd-2-5d-series-image-infer1", "kernel_id": "43193615"}, {"ref": "hoanganh2704/pytorch-infer-64x256x256-vit-b16", "kernel_id": "43604119"}, {"ref": "hoanganhdsai/rsna-atd-64x256x256-infer", "kernel_id": "43489588"}, {"ref": "hoanganhdsai/rsna-atd-pytorch-lightning-w-b-resnet", "kernel_id": "43166057"}, {"ref": "hoanganhdsai/rsna-atd-vit-tpu-train", "kernel_id": "43021974"}, {"ref": "hoanganhdsai/rsna-atd-vit-tpu-infer", "kernel_id": "43025708"}, {"ref": "hoanganhdsai/rsna-atd-64x256x256-infer-vit-b16", "kernel_id": "43609831"}, {"ref": "tejomanasa/notebooka1dd8a1a6b", "kernel_id": "43525240"}, {"ref": "tejomanasa/attention-trauma", "kernel_id": "43761146"}, {"ref": "galoren22/train-model-gal", "kernel_id": "43270631"}, {"ref": "tobetek/eda-rsna-abdominal-injury-competition-2023", "kernel_id": "43805671"}, {"ref": "tobetek/playing-around-with-dicom", "kernel_id": "43339744"}, {"ref": "tobetek/example-rsna-atd-2023-dicom-metadata", "kernel_id": "43366447"}, {"ref": "victorshlepov/converter-of-dicom-and-nifti-to-tfrecord", "kernel_id": "43219329"}, {"ref": "glipko/rsna-volumes-128x64x64", "kernel_id": "43517517"}, {"ref": "glipko/rsna-volume-processing", "kernel_id": "43795221"}, {"ref": "glipko/rsna-2-5d-resnet-ltsm-inference", "kernel_id": "43760588"}, {"ref": "theunkovvn/abdoment-check-dataset-sampling", "kernel_id": "43747877"}, {"ref": "swethaadhirain/notebooke5e0258060", "kernel_id": "43536949"}, {"ref": "usmansafdar09/abdominal-trauma-eda-rsna", "kernel_id": "43345736"}, {"ref": "lidiashishina/rsna-2-5d-cnn-training-pytorch", "kernel_id": "43284838"}, {"ref": "lidiashishina/rsna23-weighted-mean-baseline-scale-adj-at-end", "kernel_id": "43746176"}, {"ref": "ramkumar89/understanding-the-competition-rsna", "kernel_id": "43553068"}, {"ref": "xiaozhiren/rsna-prediction", "kernel_id": "43834289"}, {"ref": "xiaozhiren/kerascv-starter-notebook-train", "kernel_id": "43597810"}, {"ref": "mohammedsalf/abdominal-trauma-detection", "kernel_id": "43802897"}, {"ref": "satheeshbhukya1/rsna-read-dicom-set", "kernel_id": "43408544"}, {"ref": "satheeshbhukya1/rsna-stratified-kfolds", "kernel_id": "43955648"}, {"ref": "pranavatote/rsna-with-lstm-cnn", "kernel_id": "43061896"}, {"ref": "alonelymess/group-project-with-pytorch", "kernel_id": "43894035"}, {"ref": "enriquezaf/poc-segmentator-with-relative-low-execution-time", "kernel_id": "43216616"}, {"ref": "jina3784/resnest", "kernel_id": "43148672"}, {"ref": "vaillant/rsna-trauma-submission-v2-1", "kernel_id": "44590556"}, {"ref": "haqishen/rsna-2023-1st-place-solution-train-3d-seg", "kernel_id": "44630058"}, {"ref": "haqishen/rsna-2023-1st-place-best-model-infer-cleaned", "kernel_id": "44800397"}, {"ref": "ren4yu/rsna2023-align-two-voxels", "kernel_id": "44791021"}, {"ref": "steamedsheep/candidate-3-submit-debug-1-4m-try-fix", "kernel_id": "44521321"}, {"ref": "dharmanibc/abdomenaltraumadetection-resnet-mobilenet-effnet", "kernel_id": "44056240"}, {"ref": "lanzy007/rsna-abdominal-injury-classification", "kernel_id": "44016377"}, {"ref": "slirq123/8720-project-2", "kernel_id": "44582239"}, {"ref": "chrisrichardmiles/rsna23-train-stage2-final-5", "kernel_id": "44881103"}, {"ref": "chrisrichardmiles/fork-of-rsna23-final-inference-4-diff-agg", "kernel_id": "44934465"}, {"ref": "kapenon/rsna2023atd-9th-place-inference", "kernel_id": "44768348"}, {"ref": "yujiariyasu/3rd-place-inf-code", "kernel_id": "44692351"}, {"ref": "raki21/faulty-any-injury-in-metric-demonstration", "kernel_id": "44622247"}, {"ref": "utmostlimitc/lastss", "kernel_id": "44515225"}, {"ref": "jedrzejak/rsna-results", "kernel_id": "44088567"}, {"ref": "nischaydnk/rsna-super-mega-lb-ensemble", "kernel_id": "44596005"}, {"ref": "hemanthhari/pytorch-rsna-atd-1310", "kernel_id": "44510876"}, {"ref": "dangnguyen97/lb-0-66-change-sf", "kernel_id": "44065229"}, {"ref": "mirenaborisova/rsna-3-infer-epoch-2-dense-16", "kernel_id": "44161012"}, {"ref": "mirenaborisova/rsna-3-model-epoch-2-dense-16", "kernel_id": "44126913"}, {"ref": "noelyoda/fork-of-dr-oi-model-w-h5", "kernel_id": "44058547"}, {"ref": "noelyoda/from-2d-to-3d-a-beginner-s-guide-to-transforming", "kernel_id": "44155829"}, {"ref": "noelyoda/pydicom-crash-course-for-beginners", "kernel_id": "44152399"}, {"ref": "khalilrejiba/abdo-trauma-healthy-axial128", "kernel_id": "44531681"}, {"ref": "ahmedelfazouan/rsna-atd-channel2-512-inference-ensemble", "kernel_id": "44526869"}, {"ref": "ersinztrk/rsna-2023-abdominal-trauma-detection-v4", "kernel_id": "44514778"}, {"ref": "tejomanasa/abdominal-tra", "kernel_id": "44719951"}, {"ref": "alejandrolunamtz/inference-rsna-atd-fv", "kernel_id": "44660496"}, {"ref": "cgmitunakil/rsna-atd", "kernel_id": "44543391"}, {"ref": "solankirahulfr/ab-trauma-detection-densenet", "kernel_id": "44085579"}, {"ref": "kothapallynaveen/kerascv-starter-notebook-train", "kernel_id": "44863682"}, {"ref": "thoratneha1111/kerascv-starter-notebook-train", "kernel_id": "44831051"}, {"ref": "ayaanjang/ensemble2-resnet3d-segmentation-based-inf", "kernel_id": "44565427"}, {"ref": "bhanumokkapati/rsna-trauma", "kernel_id": "44512582"}, {"ref": "naocanzouyihui/ubc-ovarian-cancer-subtype-classification", "kernel_id": "44236932"}, {"ref": "hongx0615/rsna-2023-7th-place-solution-inference", "kernel_id": "44982413"}, {"ref": "adihex/kerascv-satya-a980b1", "kernel_id": "44403541"}, {"ref": "narayanaravada/rsna23-14-train", "kernel_id": "44419824"}, {"ref": "madquer/rsna-inference-6th-solution-clean-version", "kernel_id": "45174324"}, {"ref": "sumitai/construct-3d-arrays-from-dcm-nii-3-view-angles", "kernel_id": "45275097"}, {"ref": "sumitai/rsna-2023-1st-place-solution-train-3d-seg", "kernel_id": "45275200"}, {"ref": "slirq123/rsna-2023-1st-place-best-model-infer-cleaned", "kernel_id": "45554386"}, {"ref": "sho124/rsna-infer-notebook", "kernel_id": "45485468"}, {"ref": "younghef/rsna-abdominal-trauma-detection-via-u-net", "kernel_id": "45021184"}, {"ref": "hoinhi/interactive-viewing-of-scans-and-segmentations", "kernel_id": "45929869"}, {"ref": "thomasfreire/cnnandlstm", "kernel_id": "45563898"}, {"ref": "tim12jo/eda-fet", "kernel_id": "45127134"}, {"ref": "hoinhi/save-sg", "kernel_id": "46022646"}, {"ref": "patelp09/abdominal-trauma-unet-target-organ", "kernel_id": "46815203"}, {"ref": "patelp09/abdominal-trauma-unet-no-target", "kernel_id": "46815208"}, {"ref": "patelp09/abdominal-trauma-detection-resnet50", "kernel_id": "46814380"}, {"ref": "soollv/notebook325f4ffcae", "kernel_id": "46588002"}, {"ref": "aniruddha2610/abdo-detect-try2", "kernel_id": "46174980"}, {"ref": "khalidhabushahla/eda-rsna-2023-abdominal-trauma-detection", "kernel_id": "46656894"}, {"ref": "haripriyapramod/rsna-2023-1st-place-solution-train-3d-seg", "kernel_id": "46438104"}, {"ref": "syedmuhammadsameer/bowelextravasationclassification", "kernel_id": "47903317"}, {"ref": "tejomanasa/notebookb6bc222d7b", "kernel_id": "47833000"}, {"ref": "tejomanasa/testing", "kernel_id": "47439582"}, {"ref": "tejomanasa/abdominal-trauma-det", "kernel_id": "47415494"}, {"ref": "takashimanaoya/totalsegmentator-colon-1", "kernel_id": "47614088"}, {"ref": "takashimanaoya/drr-colon-1", "kernel_id": "47758174"}, {"ref": "bhanumokkapati/abdominal-trauma-sub", "kernel_id": "47827345"}, {"ref": "bhanumokkapati/abdominal-tra", "kernel_id": "47242506"}, {"ref": "leopedrozo/abdominal-trauma-detection", "kernel_id": "47611341"}, {"ref": "harshilvashita/super", "kernel_id": "47757749"}, {"ref": "harshilvashita/mytry", "kernel_id": "47728766"}, {"ref": "aminfarjad/notebookc5399931e2", "kernel_id": "47857859"}, {"ref": "aminfarjadsiddiqui/liver-injury", "kernel_id": "48226095"}, {"ref": "tejomanasa/basic-cnn", "kernel_id": "48231168"}, {"ref": "tejomanasa/cvit-complete", "kernel_id": "48221052"}, {"ref": "tejomanasa/transformer", "kernel_id": "48162262"}, {"ref": "tejomanasa/self-attention-post-norm-pre-norm", "kernel_id": "48687434"}, {"ref": "tejomanasa/custom-new-transformer-with-window-attention", "kernel_id": "48776331"}, {"ref": "tejomanasa/pre-norm-post-norm-with-window-attention", "kernel_id": "48782525"}, {"ref": "zrinkapecanic/abdominal-injury-detection", "kernel_id": "48802550"}, {"ref": "bhanumokkapati/fork-of-3dcnn", "kernel_id": "48992879"}, {"ref": "bhanumokkapati/3dcnn", "kernel_id": "48953910"}, {"ref": "harshilvashita/patients-400", "kernel_id": "48140424"}, {"ref": "khalidhabushahla/short-dataset-prep-training-section", "kernel_id": "48095069"}, {"ref": "sayedmohsin/resnetv2", "kernel_id": "49701834"}, {"ref": "awsaf49/kerascv-augmentation-check", "kernel_id": "49267228"}, {"ref": "bhanumokkapati/window-attention", "kernel_id": "49893989"}, {"ref": "bhanumokkapati/monai-efficientnet", "kernel_id": "49080848"}, {"ref": "bhanumokkapati/visiontransformer", "kernel_id": "49060512"}, {"ref": "bhanumokkapati/cvit-complete", "kernel_id": "49060736"}, {"ref": "bhanumokkapati/efficientnet", "kernel_id": "49639400"}, {"ref": "bhanumokkapati/densenet", "kernel_id": "49648951"}, {"ref": "khalidhabushahla/final-project-dr-ali-furkan-copied-pytorch", "kernel_id": "49695122"}, {"ref": "marwaelsayedkhalil/graduation-project", "kernel_id": "50523758"}, {"ref": "nadagamal3/liver-tumor-segmentation-using-resnet50", "kernel_id": "50984850"}, {"ref": "ahmedookhattab/resnet50", "kernel_id": "50807603"}, {"ref": "bhanumokkapati/seresnet152", "kernel_id": "50246746"}, {"ref": "bhanumokkapati/seresnext", "kernel_id": "50245838"}, {"ref": "bhanumokkapati/resnet", "kernel_id": "50213782"}, {"ref": "gauravsrivastav2507/cp-test-vks-resnet-34", "kernel_id": "51622318"}, {"ref": "marwaelsayedkhalil/error-team-graduation-project", "kernel_id": "51595383"}, {"ref": "tejomanasa/window-attention", "kernel_id": "51057854"}, {"ref": "poorbaaaaaaaaa/ensemble2-resnet3d-segmentation-based-inf", "kernel_id": "51405559"}, {"ref": "tejomanasa/hybrid-window-and-self", "kernel_id": "52719770"}, {"ref": "mlyashdata/preprocessing-0", "kernel_id": "52211852"}, {"ref": "poojareddyputta/kerascv-starter-notebook-train", "kernel_id": "52938572"}, {"ref": "poojareddyputta/abdominal-spinal-cord", "kernel_id": "52046231"}, {"ref": "nextnlp/torch311", "kernel_id": "52406427"}, {"ref": "chelshu/abdominal-spinal", "kernel_id": "52042464"}, {"ref": "theoviel/rsna-abdominal-inf-spleen", "kernel_id": "53088220"}, {"ref": "superahmed91/inference-notebook-trial", "kernel_id": "53832478"}, {"ref": "tejomanasa/efficientnet-b2062d", "kernel_id": "53245569"}, {"ref": "bhanumokkapati/densenet121", "kernel_id": "53648017"}, {"ref": "chelshu/kerascv-starter-notebook-train", "kernel_id": "53737063"}, {"ref": "uthhml/rsna-abdominal-inf-spleen", "kernel_id": "53480128"}, {"ref": "ashery/rsna-2023-trauma-detection-image-preprocessing", "kernel_id": "56095037"}, {"ref": "youssefesmael/augmentation", "kernel_id": "57283479"}, {"ref": "samuelakintajuwa/resnet-50", "kernel_id": "60898412"}, {"ref": "samuelakintajuwa/mobilenetv2", "kernel_id": "60894652"}, {"ref": "seeingtimes/candidate-3-submit-debug-1-4m-try-fix-551ef4", "kernel_id": "61486772"}, {"ref": "samuelakintajuwa/efficientnetv2-m", "kernel_id": "61558365"}, {"ref": "mlewis1973/rsna2023abdtrauma-submission-8", "kernel_id": "62597262"}, {"ref": "ranasudheer/data-collection", "kernel_id": "62291347"}, {"ref": "phantriduoc/notebookc8e3add73a", "kernel_id": "63336594"}, {"ref": "ngohonglam/efficientnet-lan3", "kernel_id": "64229190"}, {"ref": "ngohonglam/densenet", "kernel_id": "64230145"}, {"ref": "phantriduoc/luaanj-van-chay-4-phuong-an", "kernel_id": "64894074"}, {"ref": "ngohonglam/resnest", "kernel_id": "65033979"}, {"ref": "phantriduoc/rsna-atd-2-5d-series-image-train", "kernel_id": "65859627"}, {"ref": "phantriduoc/rsna-2-5d-cnn-training-pytorch", "kernel_id": "65934869"}, {"ref": "phantriduoc/rsna-simple-pytorch-cnn-pipeline", "kernel_id": "65991966"}, {"ref": "tranduykhang/transformer-986a4d", "kernel_id": "65773661"}, {"ref": "tranduykhang/abdominal-trauma-unet-target-organ", "kernel_id": "65326617"}, {"ref": "tranduykhang/transformer", "kernel_id": "65042531"}, {"ref": "hnglanh24586324812/resnest", "kernel_id": "65400488"}, {"ref": "hnglanh24586324812/abdominal-trauma-unet-target-organ-a5766a", "kernel_id": "65378950"}, {"ref": "duocphan/densenet-93412b", "kernel_id": "65599785"}, {"ref": "duocphan/transformer", "kernel_id": "65766474"}, {"ref": "duocphan/rsna-2023-1st-place-best-model-infer-cleaned", "kernel_id": "65856276"}, {"ref": "duocphan/rsna-abdominal-trauma-detection-dev", "kernel_id": "65991917"}, {"ref": "theoviel/rsna-abdominal-inf-bowel-extrav", "kernel_id": "66093875"}, {"ref": "ngohonglam/transformer-986a4d", "kernel_id": "66068372"}, {"ref": "ngohonglam/transformer-986a4d-995f6d", "kernel_id": "66860875"}, {"ref": "phantriduoc/rsna-2-5d-cnn-training-pytorch-b1d850-enhanc", "kernel_id": "66255242"}, {"ref": "phantriduoc/rsna-2-5d-cnn-training-pytorch-0c33f1-atten", "kernel_id": "66493531"}, {"ref": "tranduykhang/rsna-2-5d-cnn-training-pytorch", "kernel_id": "66454643"}, {"ref": "tranduykhang/rsna-simple-pytorch-cnn-pipeline-fe5393", "kernel_id": "66893208"}, {"ref": "tranduykhang/rsna-simple-pytorch-cnn-pipeline", "kernel_id": "66891939"}, {"ref": "hnglanh24586324812/transformer-986a4d-995f6d", "kernel_id": "66814571"}, {"ref": "hnglanh24586324812/transformer-986a4d", "kernel_id": "66102923"}, {"ref": "duoc123/rsna-2-5d-cnn-training-pytorch-self-attenti", "kernel_id": "66074979"}, {"ref": "duoc123/rsna-simple-pytorch-cnn-pipeline-fe5393", "kernel_id": "66915280"}, {"ref": "ngohonglam/rsna-simple-pytorch-cnn-pipeline-b63fc3", "kernel_id": "67157771"}, {"ref": "phantriduoc/rsna-abdominal-trauma-detection-devl-te", "kernel_id": "67711770"}, {"ref": "caffeml/rsna-super-mega-lb-ensemble", "kernel_id": "67043410"}, {"ref": "hnglanh24586324812/rsna-simple-pytorch-cnn-pipeline", "kernel_id": "67135161"}, {"ref": "duocphan/rsna-2-5d-cnn-training-pytorch-91e7b8-residu", "kernel_id": "67279186"}, {"ref": "duoc123/rsna-abdominal-trauma-detection-dev", "kernel_id": "67711758"}, {"ref": "duoc123/rsna-simple-pytorch-cnn-pipeline-49e8e3", "kernel_id": "67050520"}, {"ref": "lingvawnn/rsna-simple-pytorch-cnn-pipeline", "kernel_id": "67230850"}, {"ref": "lingvawnn/rsna-simple-pytorch-cnn-pipeline-90b8a4", "kernel_id": "67231199"}, {"ref": "vanloingoo/rsna-simple-pytorch-cnn-pipeline-b63fc3", "kernel_id": "67270276"}, {"ref": "duoc123/rsna-train-keras-yolov8", "kernel_id": "68745104"}, {"ref": "yeeseng/rsna2023abdtrauma-submission-8-forflywheel2", "kernel_id": "69772253"}, {"ref": "ngohonglam/rsna-simple-pytorch-cnn-pipeline-d0d8ce-849f13", "kernel_id": "69642852"}, {"ref": "ngohonglam/rsna-simple-pytorch-cnn-pipeline-d0d8ce", "kernel_id": "69003880"}, {"ref": "duocphan/rsna-2023-abdominal-trauma-detection-cnn", "kernel_id": "69431986"}, {"ref": "duoc123/rsna-2023-abdominal-trauma-detection-training", "kernel_id": "69171402"}, {"ref": "lingvawnn/rsna-simple-pytorch-cnn-pipeline-d0d8ce", "kernel_id": "69624622"}, {"ref": "ngohonglam/transformer", "kernel_id": "70925013"}, {"ref": "phantriduoc/rsna-2-5d-cnn-training-pytorch-residu", "kernel_id": "70848822"}, {"ref": "tranduykhang/rsna-simple-pytorch-cnn-pipeline-d0d8ce-849f13", "kernel_id": "70650899"}, {"ref": "hnglanh24586324812/transformer", "kernel_id": "70939102"}, {"ref": "duocphan/rsna-2-5d-cnn-training-pytorch-residu", "kernel_id": "70840720"}, {"ref": "athletefemale/rsna-abdominal-trauma-detection-dev", "kernel_id": "70586028"}, {"ref": "athletefemale/rsna-2-5d-cnn-training-pytorch-attenti", "kernel_id": "70819847"}, {"ref": "duoc123/rsna-2-5d-cnn-training-pytorch-sefl-attenti", "kernel_id": "70873941"}, {"ref": "lingvawnn/resnet-50-5dc77a", "kernel_id": "70362855"}, {"ref": "lingvawnn/resnet-50", "kernel_id": "70033156"}, {"ref": "lingvawnn/transformer", "kernel_id": "70932253"}, {"ref": "vanloingoo/transformer-175d14", "kernel_id": "70930068"}, {"ref": "vanloingoo/rsna-2-5d-cnn-training-pytorch-residu-7e9174", "kernel_id": "70849838"}, {"ref": "trphanc/rsna-abdominal-trauma-detection-dev-4e6299", "kernel_id": "70712495"}, {"ref": "trphanc/rsna-abdominal-trauma-detection-dev-03b20a", "kernel_id": "70686228"}, {"ref": "trphanc/rsna-2-5d-cnn-training-pytorch-self-attenti", "kernel_id": "70814656"}, {"ref": "sanjayabhat/rsna-segmentation", "kernel_id": "71661345"}, {"ref": "ngohonglam/transformer3d", "kernel_id": "71962173"}, {"ref": "phantriduoc/transformer-f948a2-9afb2d", "kernel_id": "71226560"}, {"ref": "phantriduoc/rsna-2-5d-cnn-training-pytorch-residu-e2c8a1", "kernel_id": "71141323"}, {"ref": "huynhthikhaai/transformer-f948a2-dd16e6", "kernel_id": "71167561"}, {"ref": "tranduykhang/transformer-175d14", "kernel_id": "71018856"}, {"ref": "hnglanh24586324812/transformer-f948a2", "kernel_id": "71030911"}, {"ref": "duocphan/rsna-2-5d-cnn-training-pytorch-residu-20f71e", "kernel_id": "71141824"}, {"ref": "duocphan/rsna-2-5d-cnn-training-pytorch-residu-e2c8a1", "kernel_id": "71140212"}, {"ref": "calebnhkum/fork-of-training-model-efficientnetv2s-complex", "kernel_id": "71733667"}, {"ref": "athletefemale/rsna-2-5d-cnn-training-pytorch-residu", "kernel_id": "71140043"}, {"ref": "athletefemale/rsna-2-5d-cnn-training-pytorch-residu-20f71e", "kernel_id": "71171990"}, {"ref": "athletefemale/rsna-2023-ab-trauma-visual-extravasation", "kernel_id": "71356070"}, {"ref": "duoc123/rsna-abdominal-trauma-detection-dev-3624a6", "kernel_id": "71446296"}, {"ref": "duoc123/exploring-ct-scans-and-their-segmentations", "kernel_id": "71674477"}, {"ref": "duoc123/rsna-2-5d-cnn-training-pytorch-residu-e2c8a1", "kernel_id": "71141429"}, {"ref": "nguyenhuynhtramanh/rsna-simple-pytorch-cnn-pipeline-d0d8ce-849f13", "kernel_id": "71452466"}, {"ref": "nguyenhuynhtramanh/rsna-simple-pytorch-cnn-pipeline-6a61c2", "kernel_id": "71332663"}, {"ref": "cckimm/rsna-simple-pytorch-cnn-pipeline-d0d8ce-849-b0ef01", "kernel_id": "71438414"}, {"ref": "cckimm/rsna-simple-pytorch-cnn-pipeline-d0d8ce-849f13", "kernel_id": "71412681"}, {"ref": "trphanc/rsna-2-5d-cnn-training-pytorch-residu-lan-5", "kernel_id": "71171995"}, {"ref": "trphanc/rsna-2-5d-cnn-training-pytorch-attenti", "kernel_id": "71090441"}, {"ref": "trphanc/rsna-abdominal-trauma-detection-dev-3624a6", "kernel_id": "71457419"}, {"ref": "trphanc/rsna-2023-ab-trauma-visual-extravasation", "kernel_id": "71674396"}, {"ref": "khangnguynhong2/transformer-f948a2-9afb2d", "kernel_id": "71167017"}, {"ref": "lamlam123456/rsna-simple-pytorch-cnn-pipeline-6a61c2", "kernel_id": "71358262"}, {"ref": "nataliecheong/abdominal-trauma-detection", "kernel_id": "72485641"}, {"ref": "duocphan/rsna-abdominal-trauma-detection-dev-03b20a", "kernel_id": "72061370"}, {"ref": "duocphan/rsna-2-5d-cnn-training-pytorch-residu-lan-5", "kernel_id": "72061186"}, {"ref": "nguyenhuynhtramanh/rsna-simple-pytorch-cnn-pipeline-ndueue9cer", "kernel_id": "72048278"}, {"ref": "calebnhkum/final-proposed-model-code-version", "kernel_id": "73492080"}, {"ref": "aafiak/abdominal-trauma-cv", "kernel_id": "77808307"}, {"ref": "flypigff/rsna-2023-by-zzf", "kernel_id": "79961591"}, {"ref": "flyingpigff/rsna-2023-by-zzf", "kernel_id": "81017059"}, {"ref": "flyingpigff/rsna-2023-unet", "kernel_id": "81823037"}, {"ref": "mizanurmrahman/med-lvlms-mizan", "kernel_id": "81856160"}, {"ref": "flypigff/rsna-unett", "kernel_id": "81675892"}, {"ref": "flypigff/rsna-2023-unet", "kernel_id": "81498420"}, {"ref": "mizanurmrahman/gnn-mizan", "kernel_id": "82126791"}, {"ref": "flypigff/rsna-2023-uneted", "kernel_id": "82853632"}, {"ref": "ismailukman/ct-windowing-4-cl", "kernel_id": "83129775"}, {"ref": "flypigff/2023-rsna-2-5d", "kernel_id": "83342170"}, {"ref": "anusapkota/focal-loss-densenet", "kernel_id": "86172674"}, {"ref": "anjanatimsina/training", "kernel_id": "86292707"}, {"ref": "flypigff/meddinov3", "kernel_id": "92116823"}, {"ref": "bluepill/medgemma-rsna-2023-abdominal", "kernel_id": "95390722"}, {"ref": "sarmadrazaq/ct-dicom-preprocessing-e45610", "kernel_id": "101924127"}, {"ref": "mtalikhan08/ct-dicom-preprocessing", "kernel_id": "101859783"}, {"ref": "bmohamedelamine/trauma-detection", "kernel_id": "105123774"}, {"ref": "yoodeoksu/rsna-2023-atd-preprocessed", "kernel_id": "107016552"}, {"ref": "yoodeoksu/ct-v6-1", "kernel_id": "107995889"}, {"ref": "ramesh123147/rsna-kaggle-notewbook", "kernel_id": "109604266"}, {"ref": "bmohamedelamine/spleen-trauma-baseline", "kernel_id": "111159924"}, {"ref": "swarup32/abdominal-trauma-training", "kernel_id": "115347747"}, {"ref": "ganavike/rsna-2-5d-resnet", "kernel_id": "118954954"}, {"ref": "anushakirand/rsna-abdomin", "kernel_id": "118935686"}, {"ref": "trietnguyen1/rsna-deeplearning-latest", "kernel_id": "130894728"}]}
{"competition_id": "52279", "kernels": [{"ref": "ihelon/hubmap-exploratory-data-analysis", "kernel_id": "12923126"}, {"ref": "gunesevitan/pixel-size-and-tissue-thickness-domain-adaptation", "kernel_id": "29405277"}, {"ref": "thanatoz/coordinates-to-binary-mask", "kernel_id": "38866866"}, {"ref": "ermak9/sample-submission", "kernel_id": "38898032"}, {"ref": "governor/quick-eda-trying-to-assemble-whole-slide-images", "kernel_id": "38961866"}, {"ref": "mpwolke/vasculature-common-coordinate-framework-vccf", "kernel_id": "38919703"}, {"ref": "dinowun/eda-simplified-hubmap-hacking-vascul-en-zh", "kernel_id": "38873865"}, {"ref": "leonidkulyk/eda-hubmap-hhv-interactive-annotations", "kernel_id": "38867632"}, {"ref": "thomasrochefort/hubmap-simple-pytorch-dataloader", "kernel_id": "38924738"}, {"ref": "chrisqiu/visualize-blood-cells-interactively", "kernel_id": "38945776"}, {"ref": "chaitanyagiri/hubmap-mask2former-training", "kernel_id": "38917252"}, {"ref": "imvision12/training-hubmap-efficientnet", "kernel_id": "38956655"}, {"ref": "ayushs9020/training-efficient-net-utc-eda-hubmap", "kernel_id": "38894897"}, {"ref": "michalaffek/sample-submission-dummy-seg-score-0-000", "kernel_id": "38950464"}, {"ref": "pranavnadimpali/hubmap-eda-tensorflow-u-net-watershed", "kernel_id": "38918455"}, {"ref": "grharris/hubmapbaseline-yolo", "kernel_id": "38947599"}, {"ref": "ezmgszi/data-import-and-binary-mask-generation", "kernel_id": "38998949"}, {"ref": "bruno55/hubmap-dataset-and-dataloader", "kernel_id": "38952960"}, {"ref": "fnands/a-quick-yolov7-baseline", "kernel_id": "39601885"}, {"ref": "fnands/convert-training-data-to-coco-format", "kernel_id": "39604169"}, {"ref": "fnands/a-quick-yolov7-baseline-inference", "kernel_id": "39797262"}, {"ref": "fnands/de-duplicate-labels", "kernel_id": "39835750"}, {"ref": "fnands/yolov7-sam-inference-only", "kernel_id": "39823664"}, {"ref": "kamal8/hubmap-human-vasculature-eda", "kernel_id": "39895103"}, {"ref": "zman950/sample-submission-with-segment-anything", "kernel_id": "39098157"}, {"ref": "chg0901/install-mmseg-failed-with-mim", "kernel_id": "39952796"}, {"ref": "dlobatog/capillaries-sam-pretrained-finetuning-mask", "kernel_id": "39020957"}, {"ref": "shigengtian/yolov8-inferernce", "kernel_id": "39954639"}, {"ref": "thanhhau097a/inference-detectron2", "kernel_id": "39816616"}, {"ref": "vinitkp/hubmap-data-files-eda", "kernel_id": "39777622"}, {"ref": "kaerunantoka/hubmap-tf-instance-segm-create-tfrecord-training", "kernel_id": "39953806"}, {"ref": "kaerunantoka/hubmap-tf-instance-segm-inference", "kernel_id": "39955958"}, {"ref": "takafumitakizawa/hubmap-making-dataset-add-glomerulus-unsure-mask", "kernel_id": "39880494"}, {"ref": "itsuki9180/investigate-tiles-on-wsi-1-and-2", "kernel_id": "39997853"}, {"ref": "itsuki9180/hubmap-inference", "kernel_id": "39702220"}, {"ref": "itsuki9180/hubmap-making-dataset", "kernel_id": "39679532"}, {"ref": "itsuki9180/hubmap-train", "kernel_id": "39681636"}, {"ref": "jazivxt/whole-slide-images", "kernel_id": "39126322"}, {"ref": "gunjanpaul/let-s-visualize", "kernel_id": "39059584"}, {"ref": "yosukeyama/hubmap23-mmdet-train-mask2former-1024", "kernel_id": "39850706"}, {"ref": "stpeteishii/hubmap-create-mask-from-polygon", "kernel_id": "39296003"}, {"ref": "robertsun2/unet-hubmap", "kernel_id": "39705543"}, {"ref": "sofyantandungan/wip-hubmap-human-vasculature-segmentation", "kernel_id": "39038570"}, {"ref": "quan0095/maskdino", "kernel_id": "39389826"}, {"ref": "koushikcon/dummy-submission", "kernel_id": "39637119"}, {"ref": "koushikcon/my-submission-with-yolo", "kernel_id": "39259155"}, {"ref": "averma111/pytorch-hubmap-cnn", "kernel_id": "39047297"}, {"ref": "benihime91/hubmap-2023-create-coco-annotations", "kernel_id": "39258724"}, {"ref": "charansai612/color-transformation-reinhard", "kernel_id": "39747790"}, {"ref": "abebe9849/yolo-v8-inference", "kernel_id": "39131725"}, {"ref": "dhruvkhatri/submission-smp-working-pycoco-smp", "kernel_id": "39273301"}, {"ref": "dhruvkhatri/eda-wsi-overlay", "kernel_id": "39372282"}, {"ref": "alabibojesomo/inference-yolo", "kernel_id": "39264561"}, {"ref": "hieudotrung/notebooke17ccd085e", "kernel_id": "39579558"}, {"ref": "kimalexanderh/ataset-0-1-shapehubmap-0612", "kernel_id": "39892532"}, {"ref": "sribhav/hubmap-unet-implementation", "kernel_id": "39211575"}, {"ref": "alincijov/inference-hubmap-vasc-fastai-baseline", "kernel_id": "39284079"}, {"ref": "alincijov/dataset-hubmap-vasc-768x768-segments", "kernel_id": "39145377"}, {"ref": "alincijov/training-hubmap-vasc-fastai-baseline", "kernel_id": "39158819"}, {"ref": "luistalavera/hubmap-hhv-eda-smp", "kernel_id": "39111336"}, {"ref": "mohammaddehghan/hubmap-pytorch-baseline", "kernel_id": "39023831"}, {"ref": "bibhabasumohapatra/infer-hubmap-hacking-vasculature", "kernel_id": "39053298"}, {"ref": "alexanderbiryukov/hubmap-data-generation-in-dictionary", "kernel_id": "39869990"}, {"ref": "shinyatakaramoto/hubmap-yolo-v8-train-infer", "kernel_id": "39084420"}, {"ref": "shinyatakaramoto/yolo-v8-dummy-data-training-and-inference", "kernel_id": "39052513"}, {"ref": "shinyatakaramoto/hubmap-u-net-train-and-inference", "kernel_id": "39042004"}, {"ref": "shinyatakaramoto/hubmap-eda", "kernel_id": "39000368"}, {"ref": "ammarnassanalhajali/hubmap-2023-k-fold-cv-coco-dataset-generator", "kernel_id": "39808571"}, {"ref": "ammarnassanalhajali/hubmap-2023-detectron2-training", "kernel_id": "39878500"}, {"ref": "ammarnassanalhajali/hubmap-2023-detectron2-inference", "kernel_id": "39915194"}, {"ref": "amitkumar122294/notebook6caabf113a", "kernel_id": "39873876"}, {"ref": "yusaku5739/stainnet-make-stain-normalized-image", "kernel_id": "39288189"}, {"ref": "vikashram/hubmap-simple-dataprep-for-tensorflow", "kernel_id": "39625764"}, {"ref": "theo88/hubmap-vasculature-extended-eda-and-masks", "kernel_id": "39865242"}, {"ref": "ayushs9020/inventing-image-segmentation-from-scratch", "kernel_id": "39127606"}, {"ref": "ayushs9020/re-creating-optimizers-from-scratch-hubmap", "kernel_id": "39523738"}, {"ref": "saworz/hubmap-how-to-make-first-dummy-submission", "kernel_id": "39840338"}, {"ref": "saworz/import-install-pycocotools-for-submission", "kernel_id": "39838959"}, {"ref": "saworz/hubmap-how-to-draw-polygons-on-images", "kernel_id": "39807152"}, {"ref": "camillagretschel/hubmap-training", "kernel_id": "39264654"}, {"ref": "omarsobhy14/eda-understanding-the-human-vasculature", "kernel_id": "39139338"}, {"ref": "vishakkbhat/training-u-net-baseline", "kernel_id": "39949666"}, {"ref": "vishakkbhat/mask-rcnn-cascading", "kernel_id": "39933453"}, {"ref": "weihero/notebookhubmap-yolov8", "kernel_id": "39103859"}, {"ref": "solerikaboman/utility-class-tile", "kernel_id": "39802400"}, {"ref": "dmitriygakh/data-quality-analysis", "kernel_id": "39581080"}, {"ref": "ezmgszi/data-and-mask-generation-using-dataframes", "kernel_id": "39092580"}, {"ref": "hengck23/unet-instance-segmentation-onmipose-part1", "kernel_id": "40622178"}, {"ref": "hengck23/unet-instance-segmentation-onmipose-part2", "kernel_id": "40644010"}, {"ref": "hengck23/lb4-09-baseline-yolov7", "kernel_id": "40290086"}, {"ref": "yassinealouini/kidney-vascular-eda", "kernel_id": "40401004"}, {"ref": "yassinealouini/hubmap-2023-detectron2-training", "kernel_id": "40549884"}, {"ref": "finlay/hubmap-yolov7-inference", "kernel_id": "40395462"}, {"ref": "finlay/hubmap-eda-coco-yolov7-train-and-validate", "kernel_id": "40385544"}, {"ref": "chg0901/installation-mmseg1-mmcv2-py310-cuda118-torch2", "kernel_id": "40263398"}, {"ref": "atom1231/hubmap-mmdet-2-26-public-inference", "kernel_id": "40536205"}, {"ref": "namgalielei/hubmap-yolov8-with-val-score", "kernel_id": "40530833"}, {"ref": "namgalielei/hubmap-cv-score-map-calculator", "kernel_id": "40376708"}, {"ref": "yukkyo/sample-mmdet-3-0-0-inference", "kernel_id": "40903349"}, {"ref": "yukkyo/mmdetpkgs", "kernel_id": "40378792"}, {"ref": "daaadaaa/convert-training-data-to-coco-folds", "kernel_id": "40700015"}, {"ref": "vinitkp/r-eda-csv", "kernel_id": "40453888"}, {"ref": "vinitkp/hubmap-changed-things", "kernel_id": "40426734"}, {"ref": "buluslee/hubmap-inference", "kernel_id": "40306077"}, {"ref": "buluslee/hubmap-making-dataset", "kernel_id": "40305778"}, {"ref": "buluslee/hubmap-train", "kernel_id": "40305834"}, {"ref": "stpeteishii/hubmap-unet", "kernel_id": "40116842"}, {"ref": "robertsun2/hubmap-detectron-training", "kernel_id": "40238903"}, {"ref": "gunesevitan/hubmap-hacking-the-human-vasculature-inference", "kernel_id": "40474333"}, {"ref": "rachanabisht/hubmap-eda", "kernel_id": "40493795"}, {"ref": "quan0095/split-coco-kfold-cross-eval", "kernel_id": "40200328"}, {"ref": "lijingcheng/hubmap-inference", "kernel_id": "40082577"}, {"ref": "befunny/train-yolov8-baseline", "kernel_id": "40421858"}, {"ref": "maxchen303/hubmap-openimages-eval-metrics-for-validation", "kernel_id": "40548192"}, {"ref": "menseki/baseline-maskr-cnn", "kernel_id": "40629109"}, {"ref": "robotng/yolov8-infer-check", "kernel_id": "40563782"}, {"ref": "ammarnassanalhajali/hubmap-2023-mmdetection-3-1-inference", "kernel_id": "40599143"}, {"ref": "ammarnassanalhajali/hubmap-2023-mmdetection-3-1-training", "kernel_id": "40596445"}, {"ref": "ammarnassanalhajali/hubmap-2023-mmdetectron-3-1-wheel", "kernel_id": "40388105"}, {"ref": "ammarnassanalhajali/hubmap-2023-torch-mask-r-cnn", "kernel_id": "40339440"}, {"ref": "raufie/hubmap", "kernel_id": "40788980"}, {"ref": "iraqbot/ultralytics-offline", "kernel_id": "40509610"}, {"ref": "jocelyndumlao/hubmap-blood-vessel-kidney-histology", "kernel_id": "40106921"}, {"ref": "sirtimio/infer-yolov8-tta-wbf-55th-place", "kernel_id": "40816741"}, {"ref": "hidngnguyna/baseline-unet-semantic-as-instance-segmentation", "kernel_id": "40755703"}, {"ref": "squarehare/creating-dataset", "kernel_id": "40115063"}, {"ref": "truthisneverlinear/kidney-histology-slices-eda", "kernel_id": "40616953"}, {"ref": "truthisneverlinear/hubmap-creating-dataset", "kernel_id": "40699339"}, {"ref": "andtaichi/hubmap-mmdet-ver3-0-0-training", "kernel_id": "40504814"}, {"ref": "andtaichi/hubmap-mmdet-ver3-0-0-infer", "kernel_id": "40457505"}, {"ref": "rishengyang/hubmap-mmdet-2-26-public-inference", "kernel_id": "40821165"}, {"ref": "wikiplusannangela/hubmap-data-files-eda", "kernel_id": "40374843"}, {"ref": "bachngoh/hubmap-2023-detectron2-model-soups", "kernel_id": "40023774"}, {"ref": "bachngoh/hubmap-yolov7-ensemble", "kernel_id": "40024111"}, {"ref": "neilz0211/yolov7", "kernel_id": "40747402"}, {"ref": "fengqilong/hubmap-inference-with-ensemble", "kernel_id": "40549907"}, {"ref": "kongzhangtang/hubmap-unetplusplus-inference", "kernel_id": "40055948"}, {"ref": "kongzhangtang/hubmap-yolov8-ensemblemodel-inference", "kernel_id": "40426714"}, {"ref": "manuelnkegoum/hubmap-train", "kernel_id": "40650593"}, {"ref": "moritake04/private19th-final-sub", "kernel_id": "40409173"}, {"ref": "lhtlhtlht/yolov7", "kernel_id": "40229188"}, {"ref": "nghiahoangtrung/yolov8-infer-ensemble", "kernel_id": "40535566"}, {"ref": "leehann/infer-mask-rcnn", "kernel_id": "40463983"}, {"ref": "josipvrdoljak/u-net-train", "kernel_id": "40011434"}, {"ref": "josipvrdoljak/fork-of-u-net-inference", "kernel_id": "40321048"}, {"ref": "rawmatter/a-quick-yolov7-baseline-inference", "kernel_id": "40226757"}, {"ref": "pranavnadimpali/sample-submission", "kernel_id": "40070062"}, {"ref": "pranavnadimpali/stardist-training", "kernel_id": "40737758"}, {"ref": "akidway/a-quick-yolov7-baseline", "kernel_id": "40639098"}, {"ref": "vishakkbhat/lb-4-01-infrerence-only", "kernel_id": "40414162"}, {"ref": "vishakkbhat/lb-4-09-inference", "kernel_id": "40495823"}, {"ref": "vishakkbhat/lb-4-09-inferencee", "kernel_id": "40496221"}, {"ref": "vishakkbhat/coco-dataset-format-70-30-split", "kernel_id": "40276162"}, {"ref": "vishakkbhat/lb-0-354-inference", "kernel_id": "40082886"}, {"ref": "vishakkbhat/70-30-split-train-32-batch-size", "kernel_id": "40147920"}, {"ref": "rarara108/making-dataset", "kernel_id": "40864924"}, {"ref": "huangzeyuzheng/hubmap-2023-yolov7-baseline-inference", "kernel_id": "40737399"}, {"ref": "huangzeyuzheng/hubmap-2023-yolov7-baseline", "kernel_id": "40691665"}, {"ref": "chaitanyakohli678/data-visualisation-and-multi-segment-u-net", "kernel_id": "40731861"}, {"ref": "mytra2702/unet-resnext34-infer", "kernel_id": "40517889"}, {"ref": "ryankert/hubmap-haking-the-human-vasculature", "kernel_id": "40077336"}, {"ref": "manabiulina/inference-detectron2", "kernel_id": "40191346"}, {"ref": "peilwang/infer-yolo-v8-ensemble-sam-dilate", "kernel_id": "40385213"}, {"ref": "allenwpr/hubmap-yolov7-ensemble", "kernel_id": "40109715"}, {"ref": "ttkaixin/hubmap-unet", "kernel_id": "40776588"}, {"ref": "leoand00/hubmap-prediction-visualization", "kernel_id": "40765586"}, {"ref": "luoluozhang/mask2former", "kernel_id": "40596850"}, {"ref": "marcopassapro/hubmap-train", "kernel_id": "40524429"}, {"ref": "marcopassapro/hubmap-submission", "kernel_id": "40111244"}, {"ref": "purpleofdial/hubmap-inference", "kernel_id": "40235781"}, {"ref": "purpleofdial/hubmap-training", "kernel_id": "40230774"}, {"ref": "purpleofdial/hubmap-data-processing", "kernel_id": "40227115"}, {"ref": "sakurafutaba/submission-for-the-little-ones-with-yolo", "kernel_id": "40779656"}, {"ref": "skeller/hubmap-mmdet3-1-single-fold-inference", "kernel_id": "41480673"}, {"ref": "tascj0/hubmap-2023-release", "kernel_id": "41913432"}, {"ref": "chg0901/mmdet3-1pkgs", "kernel_id": "41292728"}, {"ref": "shigengtian/fork-of-mmdet", "kernel_id": "41502527"}, {"ref": "phamvanlinh143/hubmap-2nd-place-inference", "kernel_id": "41968796"}, {"ref": "hidetaketakahashi/hubmap-create-mask", "kernel_id": "41937297"}, {"ref": "tapaskd123/wsi-2-30", "kernel_id": "41228862"}, {"ref": "quan0095/maskdino-yolov7-internimage-private-0-597", "kernel_id": "41138655"}, {"ref": "quan0095/inference-of-maskdino-p100", "kernel_id": "41650877"}, {"ref": "quan0095/internimage-mmdet-2-26-inference", "kernel_id": "41651973"}, {"ref": "quan0095/not-dialate-version-7", "kernel_id": "41627973"}, {"ref": "quan0095/dialate-version", "kernel_id": "41604362"}, {"ref": "sugupoko/10th-place-inference-yolov7ensemble-pseudo-res640", "kernel_id": "41153189"}, {"ref": "bhavesjain/hubmap-2023-cascade-rcnn", "kernel_id": "41434989"}, {"ref": "bhavesjain/hubmap-2023-cascade-rcnn-infer", "kernel_id": "41445210"}, {"ref": "bhavesjain/hubmap-2023-coco-data-prep", "kernel_id": "41567136"}, {"ref": "empyriumz/medical-instance-segmentation-with-yolov8", "kernel_id": "41674986"}, {"ref": "empyriumz/hubmap-eda-pycocotools-submission", "kernel_id": "41978795"}, {"ref": "caseyknox/hubmap-nb", "kernel_id": "41171805"}, {"ref": "hasan1101/hubmap-mask-rcnn-experimental", "kernel_id": "41776384"}, {"ref": "rizdelhi/object-detection-competition-hubmap-2023", "kernel_id": "41239893"}, {"ref": "nischaydnk/cv-wala-mega-ensemble-hubmap-2023", "kernel_id": "41614174"}, {"ref": "zhuyu2/hubmap-mmdet3-1-single-fold-inference", "kernel_id": "41177550"}, {"ref": "abdulkadirguner/31temmuz-agile512-params4", "kernel_id": "41632506"}, {"ref": "damtrongtuyen/training-hubmap-2-stages-model", "kernel_id": "41894877"}, {"ref": "damtrongtuyen/training-hubmap-yolov6m", "kernel_id": "41873531"}, {"ref": "khalilrejiba/hubmap-vasculature-maskrcnn-train", "kernel_id": "41640923"}, {"ref": "khalilrejiba/hubmap-vasculature-maskrcnn-predict", "kernel_id": "41639822"}, {"ref": "khalilrejiba/hubmap-vasculature-eda-interactive", "kernel_id": "41639136"}, {"ref": "haozhou1009/hubmap-smp-inference", "kernel_id": "41035201"}, {"ref": "wushaodong/5th-solution-htc-db-b-single-fold-submission", "kernel_id": "41283817"}, {"ref": "haokaigao/testttt", "kernel_id": "41140988"}, {"ref": "waledsaied/car-price-prediction", "kernel_id": "41281891"}, {"ref": "nghiahoangtrung/hubmap-mmdet3-1-single-fold-inference", "kernel_id": "41136300"}, {"ref": "leehann/training-u-net-baseline", "kernel_id": "41142368"}, {"ref": "bluehe/hubmap-ensemble-yolov7-mmdet", "kernel_id": "41481925"}, {"ref": "ananyaagrawal17/medical-instance-segmentation-with-yolov8", "kernel_id": "41088351"}, {"ref": "sabahesaraki/kidney-tissue-segmentation-eda", "kernel_id": "41343572"}, {"ref": "holmes0610/hubmap2023-inference", "kernel_id": "41317532"}, {"ref": "cat000/fork-of-smp", "kernel_id": "41233267"}, {"ref": "huangzeyuzheng/eda-for-hubmap-2023", "kernel_id": "41241159"}, {"ref": "redbeanjellyk/hubmap-2023-k-fold-cv-coco-dataset-generat-85cc2c", "kernel_id": "41215230"}, {"ref": "allenwpr/public-baseline-privatelb0-47", "kernel_id": "41647249"}, {"ref": "dmitriygakh/hubmap-image-cutting-1d-io", "kernel_id": "41289427"}, {"ref": "sa11goodman/yolov8-submit", "kernel_id": "41201442"}, {"ref": "helefeng/notebook35c3f5f2a8", "kernel_id": "41757070"}, {"ref": "alanyue5/medical-instance-segmentation-with-yolov8", "kernel_id": "41674872"}, {"ref": "shravankumar147/1-basic-eda-of-hubmap", "kernel_id": "42517010"}, {"ref": "hidetaketakahashi/hubmap-colorshift-hsv", "kernel_id": "42411402"}, {"ref": "hidetaketakahashi/hubmap-segmentation-report", "kernel_id": "42512291"}, {"ref": "hidetaketakahashi/hubmap-unet-predict", "kernel_id": "42176102"}, {"ref": "hasan1101/hubmap-u-net-experimental", "kernel_id": "42067102"}, {"ref": "khalilrejiba/hubmap-vasculature-stylegan-train", "kernel_id": "42478153"}, {"ref": "khalilrejiba/hubmap-vasculature-glomerulus", "kernel_id": "42671325"}, {"ref": "sayanbiswas023/kidney", "kernel_id": "42991318"}, {"ref": "alimustoofaa/mask-rcnn-detectron-2", "kernel_id": "42096792"}, {"ref": "sohithbandari/hubmap-yolov8-semi-supervised", "kernel_id": "42991109"}, {"ref": "kiinngdom7/hubmap-hhv-13th-place-inference", "kernel_id": "42057950"}, {"ref": "uitacma/kech-unanalyzed-tilessomek", "kernel_id": "42062996"}, {"ref": "uitacma/kech-unanalyzed-tiles105k", "kernel_id": "42039339"}, {"ref": "sayanbiswas023/hubmap-yolov8-semi-supervised-version-2", "kernel_id": "43066380"}, {"ref": "coinshot/hacking-the-human-vasculature-model", "kernel_id": "44843729"}, {"ref": "wangjinli/smp-basic-fpn", "kernel_id": "44767113"}, {"ref": "jirkaborovec/pyvips-load-thumbnail-crop-large-image", "kernel_id": "45011190"}, {"ref": "mingyaoli/csci567-hubmap-hacking-the-human-vasculatu", "kernel_id": "45271682"}, {"ref": "nhvdev/cs231-finalproject", "kernel_id": "46038874"}, {"ref": "wangjinli/pyunet", "kernel_id": "46976720"}, {"ref": "suziikage/yolov8", "kernel_id": "47564261"}, {"ref": "vandn99/hubmap-2023-release-fork", "kernel_id": "47198547"}, {"ref": "wangjinli/hubmap-2023-release-fork", "kernel_id": "47022368"}, {"ref": "mizhaoyang/mi-ouyang-bighomework", "kernel_id": "47240501"}, {"ref": "omarkhaledhamdy/hubmap-segmentation-report", "kernel_id": "48280223"}, {"ref": "robotmonkeybutler/hubmap-2023-release-fork", "kernel_id": "48764458"}, {"ref": "mouneshpatil/maskrcnn-from-scratch-medical-segmentation", "kernel_id": "49268278"}, {"ref": "mouneshpatil/pixel-size-and-tissue-thickness-domain-adaptation", "kernel_id": "49305660"}, {"ref": "mouneshpatil/pytorch-hubmap-cnn", "kernel_id": "49666684"}, {"ref": "mouneshpatil/hubmap-exploratory-data-analysis", "kernel_id": "49461067"}, {"ref": "mouneshpatil/hubmap-making-dataset", "kernel_id": "49351196"}, {"ref": "eeeeeeeee4/newsegformers-b545d7", "kernel_id": "51099099"}, {"ref": "ahmedkhaled001/maskrcnn-from-scratch-medical-segmentation", "kernel_id": "51732764"}, {"ref": "sevdatrumanidze/hubmap-hacking-the-human-vasculature-eda", "kernel_id": "52076627"}, {"ref": "ahmedmaherelsaeidy/hubmap-unet-segmentation", "kernel_id": "52313510"}, {"ref": "duchung45644/yolov8-hubmap", "kernel_id": "52038020"}, {"ref": "resimasss/vasculature", "kernel_id": "53993202"}, {"ref": "vannak/buckit-net-how-far-down-can-you-sample", "kernel_id": "54150856"}, {"ref": "allforest01/vasculature-detrex", "kernel_id": "54716031"}, {"ref": "cuongwf/vasculature-2", "kernel_id": "54257532"}, {"ref": "resimasss/vasculature-maskdino", "kernel_id": "54826028"}, {"ref": "ahmedmaherelsaeidy/hubmap-hacking-the-human-vasculature-dataset", "kernel_id": "56843232"}, {"ref": "ahmedmaherelsaeidy/hubmap-unet-ensemble-segmentation", "kernel_id": "57570431"}, {"ref": "lvkhnhduy/covid-19-inceptionv3", "kernel_id": "57136761"}, {"ref": "ahmedkhalidmoharram/hubmap-linknet-segmentation", "kernel_id": "57455902"}, {"ref": "ahmedmaherelsaeidy/hubmap-models-ensemble-segmentation", "kernel_id": "58496256"}, {"ref": "norhanawad/hupmap-semantic-segmentation-fcn-2024", "kernel_id": "58462579"}, {"ref": "norhanawad/hupmap-semantic-segmentation-unet-2024", "kernel_id": "58464524"}, {"ref": "norhanawad/hupmap-2024-unet-semantic-segmentation-oversample", "kernel_id": "58565531"}, {"ref": "norhanawad/hupmap-2024-fcn-semantic-segmentation-oversample", "kernel_id": "58564823"}, {"ref": "ahmedkhalidmoharram/hubmap-linknet-segmentation-baseline", "kernel_id": "58522536"}, {"ref": "ahmedkhalidmoharram/hubmap-linknet-segmentation-n-approach", "kernel_id": "58589435"}, {"ref": "yiyadaj/hubmap-unet-segmentation-n-approach", "kernel_id": "58509193"}, {"ref": "bencetar/hubmap-unet-cyclical-training", "kernel_id": "60934330"}, {"ref": "heliprajapati/yolov8-medical-instance-segmentation", "kernel_id": "61761698"}, {"ref": "heliprajapati/maskrcnn-medical-instance-segmentation", "kernel_id": "61769560"}, {"ref": "plusplusc/medical-instance-segmentation-yolov8", "kernel_id": "63135461"}, {"ref": "neosh11/image-segmentation-exploration-2", "kernel_id": "64715378"}, {"ref": "neosh11/image-segmentation-exploration", "kernel_id": "64714627"}, {"ref": "seachenbgdy/1-cuda11-8-torch2-0-0", "kernel_id": "64138435"}, {"ref": "zimn33/hubmap-zimn33", "kernel_id": "64273736"}, {"ref": "junpitosalim/fork-of-adam-4-attention-u-net-run-4-oversample", "kernel_id": "78302729"}, {"ref": "heropig/mamba-detectron-install-example", "kernel_id": "107335068"}, {"ref": "kemaldemirba/hubmap-unet-mlops", "kernel_id": "111721364"}, {"ref": "mdabdulalhasib/solution-using-custom-preprocesssing", "kernel_id": "119709880"}, {"ref": "yyastudent/fork-of-hubmap-2023-release", "kernel_id": "120633182"}, {"ref": "yuyuntt/cv-wala-mega-ensemble-hubmap-2023", "kernel_id": "120855381"}, {"ref": "joken916/2026-hubmap-lnn-hopfield", "kernel_id": "120752047"}, {"ref": "taisu0907/hubmap-yolov12", "kernel_id": "120626236"}, {"ref": "yyastudent/ensemble-rtmdet-vitadapter", "kernel_id": "121125188"}]}
{"competition_id": "52282", "kernels": []}
{"competition_id": "52283", "kernels": [{"ref": "raunak51299/raunaksingh-12002886", "kernel_id": "37811096"}, {"ref": "aakarshitchaurasia/aakarshit-12001847", "kernel_id": "37807831"}, {"ref": "anchalkumaripanda/anchal-12018229", "kernel_id": "37807790"}, {"ref": "ik70onkar/princesingh-12012641", "kernel_id": "37807869"}, {"ref": "sasikanthkamminana/sasikanth-12015651", "kernel_id": "37810269"}, {"ref": "satyanarayanaguptha/satyanarayana-12001413", "kernel_id": "37810216"}, {"ref": "anurag2002naidu/manurag-12016025", "kernel_id": "37811255"}, {"ref": "anurag2002naidu/notebook4d0a7ef470", "kernel_id": "37810350"}, {"ref": "hetrocraper/akash-12004787", "kernel_id": "37811176"}, {"ref": "divyanshml/hackathon-1", "kernel_id": "37811617"}, {"ref": "bysaniabhinaykumar/notebook499c571018", "kernel_id": "37807698"}, {"ref": "nikky4783/nikhiltailor-12002566", "kernel_id": "37808070"}, {"ref": "utpalkumardubey/utpalkumardubey-12020078", "kernel_id": "37807843"}, {"ref": "mohammedmufeedkk/notebook6af6802a42", "kernel_id": "37807892"}, {"ref": "pramodkumarpandey/pramodkumarpandey-12018923", "kernel_id": "37811392"}, {"ref": "esantha/esanth-12002006", "kernel_id": "37807715"}, {"ref": "sameersingh10/notebook04b0c76f8c", "kernel_id": "37807853"}, {"ref": "ayushtiwari1738/ayushtiwari-12012955", "kernel_id": "37810588"}, {"ref": "kollikirankumarnaidu/kollikirankumar-12019340", "kernel_id": "37810606"}, {"ref": "alfredxio/rohit-raj-12006524-best", "kernel_id": "37810380"}, {"ref": "rajkumarsaw87/notebook87f8823c4f", "kernel_id": "37809836"}, {"ref": "sahilintech/sahilchauhan-12009085", "kernel_id": "37808409"}, {"ref": "prudhvichowdhary/prudhvi-12004601", "kernel_id": "37808997"}, {"ref": "yashnagalgave/yashbalajinagalgave-12003273", "kernel_id": "37807755"}, {"ref": "absan07/ansuman-12006099", "kernel_id": "37811118"}, {"ref": "jayyadav703/jay12014632", "kernel_id": "37808069"}, {"ref": "ashutoshyadav23/ashutosh-12008864", "kernel_id": "37808248"}, {"ref": "vivek12016659/notebookc24ef1a931", "kernel_id": "37905752"}]}
{"competition_id": "52284", "kernels": [{"ref": "sirjusticegaruda/subhadeep-12006389", "kernel_id": "37809814"}, {"ref": "jnithin184533/nithin-12007854", "kernel_id": "37810695"}, {"ref": "koushik191/koushik-12002978", "kernel_id": "37809279"}, {"ref": "itsshyam640/shyam-sundar-vashishtha-12018154", "kernel_id": "37810667"}, {"ref": "aakashkumar9931/aakash-12015092", "kernel_id": "37810030"}, {"ref": "kdotunal/kunal-12013304", "kernel_id": "37809345"}, {"ref": "nandishwar4/nandishwar-12002272", "kernel_id": "37810568"}, {"ref": "soumya0131/soumyasrivastava-12006996", "kernel_id": "37807989"}, {"ref": "parangatthakur/notebook1836c50e1e", "kernel_id": "37811339"}, {"ref": "parangatthakur/notebook2ebe8b427e", "kernel_id": "37811834"}, {"ref": "parangatthakur/parangat-12007049", "kernel_id": "37812009"}, {"ref": "morbiusfityt/ayushtiwari12014175", "kernel_id": "37807924"}, {"ref": "aashuthakur/aayushi-12005134", "kernel_id": "37810784"}, {"ref": "rajtiwarii/rajtiwari-12010229", "kernel_id": "37811489"}, {"ref": "harithanagam/notebookc40bd5bad9", "kernel_id": "37808237"}, {"ref": "vishwaratansoni/12004047-vishwaratansoni", "kernel_id": "37807734"}, {"ref": "shubham26600/subham-12012819", "kernel_id": "37808401"}, {"ref": "pragatip11/pragati-12009785", "kernel_id": "37808066"}, {"ref": "arshdeepkaur1984/12008323-arsh", "kernel_id": "37807908"}, {"ref": "aviriy/notebookaa3921699c", "kernel_id": "37811311"}, {"ref": "ritikdubey2/ritikdubey-12011977", "kernel_id": "37810484"}, {"ref": "vishakha12114457/vishakha-12114457", "kernel_id": "37808243"}, {"ref": "prakashkumar12019155/prakash-12019155ca4hackathon", "kernel_id": "37810133"}, {"ref": "naveenkush/notebook28fa8ee5e0", "kernel_id": "37808023"}, {"ref": "kommisettivinayak/notebook3afa3ad726", "kernel_id": "37808239"}, {"ref": "harshitpandey22222/harshit-12015027", "kernel_id": "37811622"}, {"ref": "abhi1356/kumarabhishek12003258", "kernel_id": "37807798"}, {"ref": "vishalsethcr7/tvishalseth", "kernel_id": "37808972"}, {"ref": "bindiyaraniunnithan/bindiya-12104101", "kernel_id": "37808216"}, {"ref": "kushagrasingh1234/notebookf8365203c1", "kernel_id": "37809769"}, {"ref": "yaswanth908/yaswanth-12011626", "kernel_id": "37808710"}, {"ref": "kpratapsingh026/krishna-12002410", "kernel_id": "37810080"}]}
{"competition_id": "52288", "kernels": []}
{"competition_id": "52300", "kernels": []}
{"competition_id": "52310", "kernels": [{"ref": "abhishtmishra/abhishtmishra-12011843", "kernel_id": "37849216"}, {"ref": "deepkaransingh123/deepkaransingh-12006371", "kernel_id": "37849064"}, {"ref": "themajormask/manan-12002277", "kernel_id": "37852837"}, {"ref": "sagniksarkarlpu/sagniksarkar-12005125", "kernel_id": "37852056"}, {"ref": "mdmarufbillah/maruf-billah-12010433", "kernel_id": "37849111"}, {"ref": "sudhirsaraswat/notebooked8796823d", "kernel_id": "37852073"}, {"ref": "kamran990/kamran-12008000", "kernel_id": "37849873"}, {"ref": "kundusatyacharan/kundusatyacharan-12011942", "kernel_id": "37851462"}, {"ref": "swastiksumansahoo/swastik-12004046", "kernel_id": "37849300"}, {"ref": "abdullathifshaik/shaikabdullath-12017649", "kernel_id": "37849115"}, {"ref": "rajrishav032/rishavraj-12016002", "kernel_id": "37850867"}, {"ref": "siddusirimulla/sai-siddu-12001415", "kernel_id": "37849070"}, {"ref": "rohansiddhu/notebook1", "kernel_id": "37849048"}, {"ref": "kartikgupta09/kartikgupta-1209365", "kernel_id": "37849169"}, {"ref": "bijjalipsika/notebooked1b39c227", "kernel_id": "37850194"}, {"ref": "bijjalipsika/lipsika-12016706", "kernel_id": "37849741"}, {"ref": "thotarahul16/rahul-12008159", "kernel_id": "37850572"}, {"ref": "rahulsharma1233/rahul-12010648", "kernel_id": "37849142"}, {"ref": "rakesheemani/rakesh-12012967", "kernel_id": "37849139"}, {"ref": "madalaveerendrakumar/veerendra-kumar-12012425", "kernel_id": "37852804"}, {"ref": "kpurnachandu/purna-chandu-12014045", "kernel_id": "37849290"}, {"ref": "priyanshurai5853/priyanshu-rai-12018394", "kernel_id": "37849221"}, {"ref": "rjswal1007/ratnesh-12016909", "kernel_id": "37850228"}, {"ref": "tarunkumarjha/tarun-kumar-jha-12012142", "kernel_id": "37849260"}, {"ref": "umashankeryadav/umashanker-yadav-12020044", "kernel_id": "37849353"}, {"ref": "umashankeryadav/umashankeryadav-12020044", "kernel_id": "37850704"}, {"ref": "psomashekar/somashekar-paindla-12110868", "kernel_id": "37853369"}, {"ref": "sangeethkrishna/sangeeth-12002018", "kernel_id": "37849272"}, {"ref": "puttariteesh/sampath-kumar-reddy-12003975", "kernel_id": "37849407"}, {"ref": "sarthakmaheshwari123/sarthakmaheshwari-12019338", "kernel_id": "37851744"}, {"ref": "avishek10/avisheksenapati-12015647", "kernel_id": "37849582"}]}
{"competition_id": "52311", "kernels": [{"ref": "rishidharshan/rishi-12010595", "kernel_id": "37850175"}, {"ref": "achhalasanjeevareddy/a-sanjeevreddy-12018714", "kernel_id": "37849553"}, {"ref": "ninja05/anuragjadon-12012008", "kernel_id": "37849312"}, {"ref": "karthikeyavema/karthikeya-12004981", "kernel_id": "37849018"}, {"ref": "tanzeemnaqvi/tanzeem-12001712", "kernel_id": "37849932"}, {"ref": "tenzinp/tenzinphuntsok-12012577", "kernel_id": "37849299"}, {"ref": "udayandebnath/udayan-debnath-12105945", "kernel_id": "37849243"}, {"ref": "shreishthgautam/shreishth-gautam-12006745", "kernel_id": "37852182"}, {"ref": "piyushaggawal/notebookbe6813b6d4", "kernel_id": "37851114"}, {"ref": "anshulkhemka/anshulkhemka-12011377", "kernel_id": "37849092"}, {"ref": "mahendrayadav0011/mahendra-12013205", "kernel_id": "37851034"}, {"ref": "gauravksingh16/12007335", "kernel_id": "37848977"}, {"ref": "suryaprakash09/d-surya-prakash-12016455", "kernel_id": "37850959"}, {"ref": "suryaprakash09/notebook4e5b428f2a", "kernel_id": "37852591"}, {"ref": "abhishektiwari575/abhishektiwari-12018083", "kernel_id": "37850949"}, {"ref": "ashirbadjena/notebookce0d038960", "kernel_id": "37851483"}, {"ref": "anilgupta123/anil-gupta-12021012", "kernel_id": "37850793"}, {"ref": "koundinyakaza/kaza-12017571", "kernel_id": "37849255"}, {"ref": "rahulreddypathakota/rahulreddy-12020036", "kernel_id": "37849422"}, {"ref": "pawankommu/kommu-vemkata-pawan-12005637", "kernel_id": "37849413"}, {"ref": "rasimp/raushan-pandey-12017756", "kernel_id": "37852295"}, {"ref": "anishpandey1/notebook42d18dfa67", "kernel_id": "37849239"}, {"ref": "manchanavarunchandra/varunchandra-12008407", "kernel_id": "37849201"}, {"ref": "parbhatkapila/parbhatkapila-12010344", "kernel_id": "37849308"}, {"ref": "tharshith12006103/reddytharshith-12006103", "kernel_id": "37849713"}, {"ref": "pmpunitiit/punit-m", "kernel_id": "37850627"}, {"ref": "imvjat/vikramsingh", "kernel_id": "37850977"}]}
{"competition_id": "52324", "kernels": [{"ref": "satyaprakashshukl/whisper-open-ai-model", "kernel_id": "31503596"}, {"ref": "leonidkulyk/train-infer-mega-pack-wav2vec2-whisper-qlora", "kernel_id": "35344029"}, {"ref": "heiswicked/bengali-ai-audio-visualization-on-wandb", "kernel_id": "40764096"}, {"ref": "hengck23/lb0-68-1hr-nemo-baseline-conformer-w-o-internet", "kernel_id": "41254918"}, {"ref": "hengck23/local-wer-0-2600-nemo-baseline-conformer", "kernel_id": "41214690"}, {"ref": "hengck23/help-why-submission-score-error", "kernel_id": "41279372"}, {"ref": "reasat/yellowking-dlsprint-inference", "kernel_id": "41175910"}, {"ref": "thoolihan/exploration-day-1", "kernel_id": "41529586"}, {"ref": "seshurajup/bengali-ai-speech-recognition-eda", "kernel_id": "41173582"}, {"ref": "imtiazprio/fast-whisper-large-v2-fine-tuning-with-lora", "kernel_id": "41850013"}, {"ref": "itsuki9180/hf-wav2vec2-0-train-baseline", "kernel_id": "41345856"}, {"ref": "itsuki9180/hf-wav2vec2-0-inference-baseline", "kernel_id": "41254358"}, {"ref": "itsuki9180/hf-wav2vec2-0-preprocess-baseline", "kernel_id": "41249150"}, {"ref": "ksmcg90/bengali-datasets-hf-hub", "kernel_id": "41231481"}, {"ref": "mpwolke/kasi-nazrul-islam", "kernel_id": "41282460"}, {"ref": "mpwolke/talking-bengali", "kernel_id": "41174180"}, {"ref": "dani2112/interactive-visualization-features-embeddings", "kernel_id": "41689602"}, {"ref": "mbmmurad/exploring-ood-domains-hand-annotation-of-examples", "kernel_id": "41285999"}, {"ref": "mbmmurad/lb-0-641-nemo-conformer-baseline-w-o-internet-in", "kernel_id": "41273374"}, {"ref": "mbmmurad/how-to-submit-code-w-o-internet-creating-wheels", "kernel_id": "41276879"}, {"ref": "mbmmurad/lb-0-52-fork-of-local-nemo-baseline-conformer", "kernel_id": "41300256"}, {"ref": "mbmmurad/dataset-overlaps-with-commonvoice-11-bn", "kernel_id": "41418926"}, {"ref": "mbmmurad/detailed-eda-normalizer-and-wer", "kernel_id": "41184384"}, {"ref": "mbmmurad/submission-using-public-finetuned-whisper-model", "kernel_id": "41178047"}, {"ref": "mbmmurad/convert-mp3s-to-wavs", "kernel_id": "41180469"}, {"ref": "mbmmurad/lb-0-506-inference-w-previous-comp-winner-s-model", "kernel_id": "41207295"}, {"ref": "averma111/pytorch-bengali-ai", "kernel_id": "41250068"}, {"ref": "heyytanay/pytorch-training-wav2vec2-for-bengaliai", "kernel_id": "41185167"}, {"ref": "nbroad/whisper-training-starter-kit", "kernel_id": "41173417"}, {"ref": "nbroad/whisper-inference", "kernel_id": "41207280"}, {"ref": "biplabkumarsarkar/eda-on-bengali-speech-recognition", "kernel_id": "41322134"}, {"ref": "heiswicked/bengali-whisper-gen-torch-peft-lora", "kernel_id": "41827179"}, {"ref": "heiswicked/bengali-eda-part2", "kernel_id": "41592101"}, {"ref": "umongsain/wav2vec2-n-gram-lm-inference", "kernel_id": "41195529"}, {"ref": "umongsain/macro-normalization", "kernel_id": "41442837"}, {"ref": "achrefjarray/bengaliai-speech", "kernel_id": "41439311"}, {"ref": "jocelyndumlao/bengali-speech-whisper-asr-models", "kernel_id": "41419287"}, {"ref": "jocelyndumlao/bengali-speech-with-whisper", "kernel_id": "41343248"}, {"ref": "sujaykapadnis/bengali-speech-recognition-for-everyone", "kernel_id": "41253037"}, {"ref": "harshitkmr/using-sentence-pip-wheels", "kernel_id": "41324529"}, {"ref": "harshitkmr/sentence-transformers-pip-wheels", "kernel_id": "41324120"}, {"ref": "pjmathematician/bengaliai-asr-baseline-whisper-inference", "kernel_id": "41183663"}, {"ref": "pjmathematician/whisper-models-bengaliai-asr", "kernel_id": "41183733"}, {"ref": "elseba3ymohamed/bangla-sentencepiece-tokenizer", "kernel_id": "41390603"}, {"ref": "ayushs9020/understanding-the-competition-bengalai", "kernel_id": "41178478"}, {"ref": "vaibhavkumarbirajdar/vaibhav-s-code", "kernel_id": "41354848"}, {"ref": "sourabhsingh03993493/speech-to-bengali", "kernel_id": "41221411"}, {"ref": "shahidulugvcse/bengali-speech-recognition", "kernel_id": "41288698"}, {"ref": "aneekeshkumar/bengali-ai-speech-recognition", "kernel_id": "41841957"}, {"ref": "monirulhaquebracu/asr-eda-wordcloud-fft-spectogram", "kernel_id": "41525564"}, {"ref": "monirulhaquebracu/pytorch-training-wav2vec2-for-bengaliai", "kernel_id": "41960733"}, {"ref": "monirulhaquebracu/fast-whisper-large-v2-fine-tuning-with-lora-moniru", "kernel_id": "41918925"}, {"ref": "kausthubkannan/bengali-ai-speech-recognition-pytorch", "kernel_id": "41822441"}, {"ref": "abhirajbanerjee/voice-processing", "kernel_id": "41503252"}, {"ref": "bhanupratapbiswas/bengali-ai-speech-recognition", "kernel_id": "41397220"}, {"ref": "fazorglitz1/yellowking-dlsprint-inference", "kernel_id": "41942549"}, {"ref": "madhabpoulik27/basic-notebook-for-eda", "kernel_id": "41278416"}, {"ref": "mianwang1024/bengali-asr", "kernel_id": "41644915"}, {"ref": "rameezraja1/annotation-lb-0-506-inference-w-previous", "kernel_id": "41976108"}, {"ref": "elhamkharazi/notebook70f70fc7d0", "kernel_id": "41314253"}, {"ref": "texopher/translate-web", "kernel_id": "41299935"}, {"ref": "texopher/textify-youtube", "kernel_id": "41299765"}, {"ref": "texopher/bengali-text-to-speech", "kernel_id": "41371750"}, {"ref": "texopher/find-ood-words-of-yellowking-dl-sprint-2022", "kernel_id": "41637167"}, {"ref": "montassarbenyahia/yellowking-dlsprint-inference-c66b98", "kernel_id": "41962329"}, {"ref": "usharengaraju/sew-wavlm-w-b", "kernel_id": "42350190"}, {"ref": "ttahara/bengali-sr-umong-sain-s-wav2vec2-0-w-lm-baseline", "kernel_id": "42735821"}, {"ref": "ttahara/bengali-sr-download-public-trained-models-v2", "kernel_id": "42676487"}, {"ref": "ttahara/bengali-sr-download-public-trained-models", "kernel_id": "42232874"}, {"ref": "ttahara/bengali-sr-public-wav2vec2-0-w-lm-baseline", "kernel_id": "42233078"}, {"ref": "ttahara/bengali-sr-public-wav2vec2-0-w-lm-validation", "kernel_id": "42237058"}, {"ref": "snnclsr/0-444-optimize-decoding-parameters-with-optuna", "kernel_id": "42923168"}, {"ref": "sushmit0109/wav2vec2-training-and-fine-tuning-on-regional-data", "kernel_id": "42805136"}, {"ref": "sushmit0109/long-term-spectral-average-ltsa-ec5564", "kernel_id": "42645823"}, {"ref": "sushmit0109/local-stt-tsne", "kernel_id": "42703499"}, {"ref": "imtiazprio/listen-to-training-samples-data-quality-eda", "kernel_id": "42127436"}, {"ref": "souravmighty/understanding-audio-data-mel-spectrogram", "kernel_id": "42097651"}, {"ref": "stpeteishii/mel-spectrogram-images-of-bengali-sound", "kernel_id": "42196836"}, {"ref": "stpeteishii/waveform-images-of-bengali-sound", "kernel_id": "42195811"}, {"ref": "stpeteishii/waveform-word-count-pytorch-lightning", "kernel_id": "42221746"}, {"ref": "stpeteishii/bengali-one-two-word-s-mel-spectrogram", "kernel_id": "42160045"}, {"ref": "stpeteishii/bengali-to-english-translation", "kernel_id": "42300186"}, {"ref": "stpeteishii/bengali-example-audio-wav2vec2-yellowking", "kernel_id": "42305723"}, {"ref": "stpeteishii/bengali-example-audio-indicwav2vec", "kernel_id": "42278358"}, {"ref": "benbla/install-notebook", "kernel_id": "42678854"}, {"ref": "dani2112/interactive-eda-and-insights", "kernel_id": "42183039"}, {"ref": "anmspro/meta-wav2vec2-download-public-trained-models", "kernel_id": "42789109"}, {"ref": "anmspro/lb-0-445-wav2vec2-inference", "kernel_id": "42547291"}, {"ref": "mbmmurad/fork-of-creating-n-gram-language-model-for-wav2vec", "kernel_id": "42761752"}, {"ref": "mbmmurad/bengaliaisr-train-metadata-eda", "kernel_id": "42655852"}, {"ref": "mbmmurad/creating-n-gram-language-model-for-wav2vec2", "kernel_id": "42061653"}, {"ref": "mbmmurad/prepare-dataset-for-wav2vec2", "kernel_id": "42051646"}, {"ref": "mbmmurad/lb-0-49-wav2vec2-baseline-train-and-infer", "kernel_id": "42054023"}, {"ref": "takanashihumbert/bengali-sr-wav2vec-v1-bengali-inference", "kernel_id": "42920613"}, {"ref": "baohaoliao/bengali-m4t-medium", "kernel_id": "42728391"}, {"ref": "baohaoliao/bengali-m4t-large", "kernel_id": "42735699"}, {"ref": "baohaoliao/bengali-m4t-submission", "kernel_id": "42723910"}, {"ref": "baohaoliao/bengali-packages", "kernel_id": "42724309"}, {"ref": "aliabdin1/how-does-quantization-work", "kernel_id": "42692393"}, {"ref": "nischaydnk/bengali-finetuning-baseline-wav2vec2-inference", "kernel_id": "42354338"}, {"ref": "saeidehmousavi/bengali-competition-notebook", "kernel_id": "42230509"}, {"ref": "umongsain/load-audio-data-using-huggingface-datasets", "kernel_id": "42567454"}, {"ref": "umongsain/exploring-common-voice-13-bengali-normalized", "kernel_id": "42565857"}, {"ref": "umongsain/67th-place-solution-inference-notebook", "kernel_id": "42365489"}, {"ref": "umongsain/build-an-n-gram-with-kenlm-macro", "kernel_id": "42437685"}, {"ref": "faysalmiah1721758/bengali-ai-speech-recognition-spectogram-mel-spe", "kernel_id": "42681958"}, {"ref": "seydifaye/create-vocabulary-words-pieces-vocabulary", "kernel_id": "42160568"}, {"ref": "trina41/local-stt-tsne-heatmap-histogram", "kernel_id": "42984086"}, {"ref": "gehrmanyu/bengaliai-inference", "kernel_id": "42683627"}, {"ref": "gehrmanyu/bengaliai-datapreprocessing", "kernel_id": "42644204"}, {"ref": "amanmukati/bengali-ai-speech-recognition", "kernel_id": "42492698"}, {"ref": "dvk911911/load-ds-be-test", "kernel_id": "42980279"}, {"ref": "pawankumargunjan/bengali", "kernel_id": "42421337"}, {"ref": "ponderpiece/bengaliai-speech-runtime-error", "kernel_id": "42642743"}, {"ref": "aphysict/whisper-data-prepare", "kernel_id": "42548266"}, {"ref": "jjleesunny/converting-mp3-to-wav-is-an-efficient-way", "kernel_id": "42547369"}, {"ref": "nikhilranjanmurmu/dunikhi-bengali-ai", "kernel_id": "42854378"}, {"ref": "jaienmalik/bengali-team-ju", "kernel_id": "42230072"}, {"ref": "subhamchakrabort/asr-beng", "kernel_id": "42517588"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "kondratyukroman/yellowking-dlsprint-inference", "kernel_id": "42575106"}, {"ref": "vinitkp/speech-recognition", "kernel_id": "43454882"}, {"ref": "msthil/bengali-data-augmentation", "kernel_id": "43927755"}, {"ref": "tavoglc/clustering-audio-with-3d-convolution", "kernel_id": "43855376"}, {"ref": "anmspro/lb-0-746-finetuned-openai-whisper-model", "kernel_id": "43318263"}, {"ref": "anmspro/lb-optimize-the-decoding-parameters-with-optuna", "kernel_id": "43114198"}, {"ref": "takanashihumbert/bengali-sr-wav2vec-v1-bengali-training", "kernel_id": "43050644"}, {"ref": "takuji/bengaliai-pip-wheels-demucs", "kernel_id": "43703516"}, {"ref": "takuji/vakyansh-models-punctuation-models-bengali", "kernel_id": "43746609"}, {"ref": "level14taken/bengali-main-pytorch", "kernel_id": "43217084"}, {"ref": "abdullahabdelrhim/bengaliai-speech-dataset", "kernel_id": "43155614"}, {"ref": "saeidehmousavi/audio-augmentation-notebook", "kernel_id": "43101393"}, {"ref": "dangnguyen97/lb-0-443-change-the-decoding-parameters-vote-up", "kernel_id": "43259035"}, {"ref": "pritamsinha23/bengali-speech-kaggle-wav2vec2-v6", "kernel_id": "43009383"}, {"ref": "pritamsinha23/bengali-speech-kaggle-wav2vec2-train-v4", "kernel_id": "43821249"}, {"ref": "royalacecat/lb-0-442-the-best-decoding-parameters", "kernel_id": "43025019"}, {"ref": "davidramos18/inference-whisper", "kernel_id": "43192355"}, {"ref": "davidramos18/inference-whisper-lora", "kernel_id": "43329774"}, {"ref": "davidramos18/fork-of-fine-tuning-whisper-with-lora", "kernel_id": "43878944"}, {"ref": "leonardoboulitreau/w2v2-dataaug-timbrepertubation-training", "kernel_id": "43845903"}, {"ref": "leonardoboulitreau/w2v2-dataaug-timbrepertubation-inference", "kernel_id": "43845925"}, {"ref": "gehrmanyu/wav2vec-inference", "kernel_id": "43391400"}, {"ref": "yuliknormanowen/bengali-sr-wav2vec-v1-bengali-inference-for-v4", "kernel_id": "43437621"}, {"ref": "tusharpaul2001/speech-recognition", "kernel_id": "43922037"}, {"ref": "biththanhphng/bengali-sr-download-public-trained-models", "kernel_id": "43859299"}, {"ref": "pocolocokobs/wav2vec-train", "kernel_id": "43781667"}, {"ref": "pocolocokobs/wav2vec-inference", "kernel_id": "43780803"}, {"ref": "chaiva/submissionnotebookwithoutlm", "kernel_id": "43082369"}, {"ref": "charansraju/cse-572-project", "kernel_id": "43429435"}, {"ref": "shahruk10/wav2vec2-inference", "kernel_id": "44190332"}, {"ref": "tugstugi/bengali-ai-asr-competition", "kernel_id": "44634987"}, {"ref": "nyleve/giantlm-dat6-step2-at-111k-add-punctuation", "kernel_id": "44690181"}, {"ref": "wchan757/bengali-ai-wave-2-vec-2-3138b9", "kernel_id": "44644920"}, {"ref": "hubert101/bengal-punctuation-model", "kernel_id": "44248680"}, {"ref": "benbla/5th-place-solution", "kernel_id": "44859537"}, {"ref": "takuji/3rd-place-solution", "kernel_id": "44583131"}, {"ref": "themadrambito/11th-place-whisper-inference", "kernel_id": "44293514"}, {"ref": "aisyahhrazak/inference-wav2vec2-kenlm", "kernel_id": "44627470"}, {"ref": "bayartsogtya/submit-to-restore-punctuation", "kernel_id": "44593819"}, {"ref": "abhranta/4-bit-lora-whisper-large-v2-finetuning", "kernel_id": "44146750"}, {"ref": "abhranta/lora-wav2vec-v1-bengali-training", "kernel_id": "44175758"}, {"ref": "slava715/w2v-bengali-1b-inference", "kernel_id": "44746213"}, {"ref": "goelyash/bengali-ai-wave-2-vec-2", "kernel_id": "44168485"}, {"ref": "hanx2smile/4th-place-solution-inference-code", "kernel_id": "44100131"}, {"ref": "emericjim/bengali-bnlp-for-sample", "kernel_id": "44711117"}, {"ref": "neilus/16th-place-solution", "kernel_id": "44707085"}, {"ref": "qdv206/2nd-place-bengali-speech-infer", "kernel_id": "44887559"}, {"ref": "mbmmurad/31st-place-inference-notebook", "kernel_id": "46292037"}, {"ref": "arunodhayan/fork-of-finetuning", "kernel_id": "47824263"}, {"ref": "zilanzaman/cse438", "kernel_id": "47391924"}, {"ref": "clarayaiche06/bengaliai-stt-exploratory-part1", "kernel_id": "47444855"}, {"ref": "anannyodey7/dataset-preproc", "kernel_id": "49563108"}, {"ref": "msamikhan121/bengali-ai-speech-commonvoice-eda", "kernel_id": "51672646"}, {"ref": "tahmidrahman37/bangla-asr-tahmid", "kernel_id": "53224793"}, {"ref": "fowziafaruk/bengali-speech-recognition-for-everyone", "kernel_id": "53566362"}, {"ref": "mbmmurad/eda-resources-and-submission", "kernel_id": "54088851"}, {"ref": "biplabkumarsarkar/asr-for-regional-dialects", "kernel_id": "54024146"}, {"ref": "skylark4/bengali-punctuation-restore", "kernel_id": "54833822"}, {"ref": "sushmit0109/bengali-sr-wav2vec-v1-bengali-training", "kernel_id": "55721749"}, {"ref": "hosen42/bengali-speech-recognition-for-everyone", "kernel_id": "55432987"}, {"ref": "jakir57/bekar-0-76483-inference", "kernel_id": "55355245"}, {"ref": "sibgatulislam/bengali-ipa-tts-prepare-ds", "kernel_id": "55609749"}, {"ref": "sushmit0109/extracting-smile-features", "kernel_id": "56519685"}, {"ref": "sibgatulislam/speech-t5-finetune", "kernel_id": "57662471"}, {"ref": "iamyashjadhav/bengali-ai-asr-competition", "kernel_id": "61437910"}, {"ref": "kuntalt/bengali-ai-speech-recognition", "kernel_id": "62676541"}, {"ref": "michelle136186/bengali-ai-wave-2-vec-2", "kernel_id": "65195404"}, {"ref": "tawsiftashwardipto/semi-supervised-bangla", "kernel_id": "71273421"}, {"ref": "boxy32/medical-assistant", "kernel_id": "80998494"}, {"ref": "miftahuladib/backprop-sust-whispermedium-custom-train-2", "kernel_id": "100957563"}, {"ref": "tajulislamtarek/metric-template-a11fb1", "kernel_id": "109347304"}, {"ref": "meherunnesa0312/bengali-ai-asr-competition", "kernel_id": "109237080"}, {"ref": "rafidadib/metric-template-a11fb1", "kernel_id": "110218915"}, {"ref": "aliasifkhan131/asr-correction-ds", "kernel_id": "121554119"}, {"ref": "aliasifkhan0709/asr-correction-ds", "kernel_id": "122005597"}, {"ref": "aliasifkhan2105131/asr-correction-ds", "kernel_id": "122005881"}, {"ref": "aliasifkhan131/flasr-correction-ds", "kernel_id": "124369573"}, {"ref": "zoayriaabedin/nb-05-eps50-batched-100h-t5-ipynb-ipynb", "kernel_id": "135816907"}, {"ref": "zoayriaabedin/nb-05-eps50-batched-100h-t1-ipynb-ipynb", "kernel_id": "135816081"}, {"ref": "zoayriaabedin/nb-05-eps50-batched-25-milestone-1000-ipynb", "kernel_id": "135889185"}, {"ref": "zoayriaabedin/nb-05-eps50-batched-25-milestone-2000-ipynb", "kernel_id": "135889372"}, {"ref": "zoayriaabedin/nb-05-eps50-batched-25-milestone-3500-ipynb", "kernel_id": "135893367"}, {"ref": "zoayriaabedin/nb-05-eps50-batched-25-final-ipynb", "kernel_id": "135893634"}, {"ref": "zoayriaabedin/nb-05-eps50-batched-100-milestone-1000-ipynb", "kernel_id": "135896598"}, {"ref": "zoayriaabedin/nb-05-eps50-batched-100-milestone-2000-ipynb", "kernel_id": "135897063"}, {"ref": "zoayriaabedin/nb-05-runs-final", "kernel_id": "135957377"}, {"ref": "zoayriaabedin/nb-05-runs-milestone-3500", "kernel_id": "135956161"}, {"ref": "mahdihasanqurishi/taskbsecurity2", "kernel_id": "136370928"}, {"ref": "mahdihasanqurishi/nb-11-whisper-arm-new", "kernel_id": "136378929"}, {"ref": "zoayriaabedin/nb-07-pipeline-survival-100h", "kernel_id": "136028007"}, {"ref": "zoayriaabedin/nb-07-pipeline-survival-25h", "kernel_id": "136027015"}, {"ref": "zoayriaabedin/nb-05b-traj-1h-locked-ms-3500", "kernel_id": "136004938"}, {"ref": "zoayriaabedin/nb-05b-traj-1h-locked-final", "kernel_id": "136005159"}, {"ref": "zoayriaabedin/taskbsecurity2", "kernel_id": "136201033"}]}
{"competition_id": "52334", "kernels": []}
{"competition_id": "52343", "kernels": [{"ref": "syedumeerr/datathon", "kernel_id": "37853033"}, {"ref": "alisurani/datathon-notebook", "kernel_id": "37927774"}]}
{"competition_id": "52360", "kernels": []}
{"competition_id": "52361", "kernels": []}
{"competition_id": "52367", "kernels": [{"ref": "arijitparia/arijit-12001917", "kernel_id": "37854457"}]}
{"competition_id": "52368", "kernels": []}
{"competition_id": "52390", "kernels": []}
{"competition_id": "52400", "kernels": []}
{"competition_id": "52403", "kernels": []}
{"competition_id": "52424", "kernels": [{"ref": "tracyporter/airbnb-tf-dnn", "kernel_id": "37991849"}, {"ref": "anandbijudas/notebook57b8937777", "kernel_id": "37957787"}]}
{"competition_id": "52428", "kernels": []}
{"competition_id": "52441", "kernels": [{"ref": "shaikhabdulrafay03/meri-marzii", "kernel_id": "38100935"}]}
{"competition_id": "52446", "kernels": [{"ref": "wlifferth/part-1-understanding-python-chess-and-fen", "kernel_id": "37956594"}, {"ref": "wlifferth/part-2-building-a-simple-chess-playing-model", "kernel_id": "37957377"}, {"ref": "wlifferth/part-3-making-predictions-and-submitting", "kernel_id": "37959874"}, {"ref": "wlifferth/part-4-training-a-big-model-and-saving", "kernel_id": "38174930"}, {"ref": "wlifferth/part-6-ensemble-models", "kernel_id": "38175739"}, {"ref": "paritoshdahiya/ghw-chess-ai-custom-encoding", "kernel_id": "38206401"}, {"ref": "specbeck/part-3-making-predictions-and-submitting", "kernel_id": "38101547"}, {"ref": "syedjarullahhisham/robo-chess-chess-ai-global-hack-competition", "kernel_id": "62944055"}, {"ref": "chinmaygope/lichess-analysis", "kernel_id": "64545153"}]}
{"competition_id": "52450", "kernels": []}
{"competition_id": "52460", "kernels": []}
{"competition_id": "52476", "kernels": []}
{"competition_id": "52479", "kernels": [{"ref": "raghavchudasama/notebooke76293010c", "kernel_id": "38614299"}, {"ref": "sugatarikuto/notebookec79fa8217", "kernel_id": "128075665"}]}
{"competition_id": "52547", "kernels": []}
{"competition_id": "52569", "kernels": [{"ref": "sunshenao/notebook99426c5683", "kernel_id": "41965962"}, {"ref": "tahmidchoudhury019/notebooke6a4637a28", "kernel_id": "132901937"}]}
{"competition_id": "52650", "kernels": []}
{"competition_id": "52711", "kernels": []}
{"competition_id": "52719", "kernels": []}
{"competition_id": "52730", "kernels": []}
{"competition_id": "52732", "kernels": [{"ref": "kenpachi99/hackathon-getting-started-modeling", "kernel_id": "37493426"}, {"ref": "kenpachi99/hackathon-getting-started-eda", "kernel_id": "37493259"}, {"ref": "margaretgathoni/iclr-hackthon-co2-emission", "kernel_id": "38114117"}, {"ref": "erenkonta/zaman-serisi-ile-co2-emisyon-tahmini", "kernel_id": "68897300"}]}
{"competition_id": "52734", "kernels": [{"ref": "andreinovikov90/svd-on-axial-brain-ct", "kernel_id": "38686164"}, {"ref": "andreinovikov90/test-sample", "kernel_id": "38564576"}, {"ref": "vshakhlin/innopolis-global-ai-challenge-2023-ipynb", "kernel_id": "40195413"}, {"ref": "danila13/ai4med-mark-11", "kernel_id": "40068902"}]}
{"competition_id": "52739", "kernels": []}
{"competition_id": "52784", "kernels": [{"ref": "dellalkhaled/circle-of-correlations-and-nothing-else", "kernel_id": "36589862"}, {"ref": "kailex/ic-r-lightgbm-downsampling", "kernel_id": "38976811"}, {"ref": "ktahn207272/xgboost-play", "kernel_id": "38948993"}, {"ref": "pehahn/tidymodels-basic", "kernel_id": "38611187"}, {"ref": "pehahn/eda-with-r", "kernel_id": "38558531"}, {"ref": "opcris/icr-v4", "kernel_id": "38583114"}, {"ref": "michal71/classification-with-neural-network", "kernel_id": "38553744"}, {"ref": "aerdem4/icr-lofo-feature-importance", "kernel_id": "38408533"}, {"ref": "bjoernholzhauer/icr-4-class-classification-lightgbm", "kernel_id": "38817916"}, {"ref": "bjoernholzhauer/icr-fastai-transfer-learning", "kernel_id": "38685979"}, {"ref": "mtinti/autogluon-package", "kernel_id": "38473997"}, {"ref": "mtinti/autogluon-pred", "kernel_id": "38474336"}, {"ref": "barun2104/icr-age-related-conditions-eda", "kernel_id": "38532617"}, {"ref": "avtandyl/simple-baseline-mean", "kernel_id": "38450536"}, {"ref": "avtandyl/aml-baseline", "kernel_id": "38548418"}, {"ref": "avtandyl/logreg", "kernel_id": "38692418"}, {"ref": "avtandyl/logreg-yeojonson", "kernel_id": "38865307"}, {"ref": "dzisandy/icr-first-version", "kernel_id": "38507477"}, {"ref": "dzisandy/icr-first-version-0-21-lb", "kernel_id": "38563763"}, {"ref": "reneeschmidt/icr-data-visualization", "kernel_id": "38745640"}, {"ref": "ancaco12/eda-folds", "kernel_id": "38855224"}, {"ref": "docxian/icr-visuals-lasso-model-in-r", "kernel_id": "38440964"}, {"ref": "docxian/ps-s3-e15-imputation-with-r", "kernel_id": "38628868"}, {"ref": "stenford23/icr-inference-contrastive-retriever", "kernel_id": "38819487"}, {"ref": "bzeniti/icr-modelling", "kernel_id": "38516233"}, {"ref": "ch124uec/plotly-eda-xgboost-optuna-tuning", "kernel_id": "38454451"}, {"ref": "shivamanhar/2nd-model", "kernel_id": "38679608"}, {"ref": "shivamanhar/first-model-submission", "kernel_id": "38674599"}, {"ref": "dan3dewey/icr-2023-balanced-log-loss", "kernel_id": "38455086"}, {"ref": "dan3dewey/icr-2023-simple-models-in-r", "kernel_id": "38476231"}, {"ref": "chenjiexu/icr-optimized-lgb", "kernel_id": "38953092"}, {"ref": "tenffe/icr-age-eda-hypergbm-automl", "kernel_id": "38766817"}, {"ref": "stripe/r-icr-03-lgb-weight-add", "kernel_id": "38690655"}, {"ref": "prasad22/icr-competition-submission", "kernel_id": "38643582"}, {"ref": "cdeotte/rapids-cuml-svc-baseline-lb-0-27-cv-0-35", "kernel_id": "38823154"}, {"ref": "oscarm524/icr-eda-modeling-submission", "kernel_id": "38441312"}, {"ref": "yzokulu/lightgbm-baseline-improved-score-0-23", "kernel_id": "38470513"}, {"ref": "kimtaehun/simple-eda-and-xgb-baseline-you-can-read-in-3min", "kernel_id": "38436551"}, {"ref": "hemanth012/training-notebook-with-balanced-log-loss-function", "kernel_id": "38550606"}, {"ref": "hemanth012/basic-eda-icr", "kernel_id": "38462546"}, {"ref": "craigmthomas/icr-2023-eda-models", "kernel_id": "38646272"}, {"ref": "vinitkp/r-icr-eda", "kernel_id": "38580169"}, {"ref": "vinitkp/quick-eda-xgboost", "kernel_id": "38456971"}, {"ref": "svkmsr6/icr-submission-svk", "kernel_id": "38468484"}, {"ref": "ndeperrois/scikit-learn-for-newbies-age-related-conditions", "kernel_id": "38442733"}, {"ref": "ssarkar445/icr-2023-baseline", "kernel_id": "38543784"}, {"ref": "ssarkar445/icr-2023-scipyoptimize-top-2-106th", "kernel_id": "38950432"}, {"ref": "dellalkhaled/storing-dataframes-in-one-excel", "kernel_id": "38547818"}, {"ref": "chensixian/robust-validation-framework-multilabel-ipynb", "kernel_id": "38978815"}, {"ref": "yuayua/icr-age-related-conditions-eda-modelling", "kernel_id": "38831284"}, {"ref": "gunesevitan/icr-identifying-age-related-conditions", "kernel_id": "38506906"}, {"ref": "gunesevitan/icr-identifying-age-related-conditions-eda", "kernel_id": "38426634"}, {"ref": "gunesevitan/icr-identifying-age-related-conditions-lightgbm", "kernel_id": "38409256"}, {"ref": "tinatuna/icr-simple-lightgbm-solution", "kernel_id": "38935000"}, {"ref": "sunil199/icr-iarc-eda-comparison-of-models", "kernel_id": "38600686"}, {"ref": "mmellinger66/icr-iarc-2023-lab", "kernel_id": "38708281"}, {"ref": "ficklemaverick/balancing-data-xgboost", "kernel_id": "38502288"}, {"ref": "mpwolke/aging-with-greeks-omega-log-loss", "kernel_id": "38453371"}, {"ref": "mzaoualim/kaggle-icr", "kernel_id": "38465015"}, {"ref": "mzaoualim/eda-sgdclassifier-model", "kernel_id": "38703549"}, {"ref": "jaloeffe92/icr-logisitcregression", "kernel_id": "38444354"}, {"ref": "averma111/pytorch-icr", "kernel_id": "38412054"}, {"ref": "airqualityanthony/icr-xgboost-optuna-optimised-0-31", "kernel_id": "38440330"}, {"ref": "hamzaghanmi/icr-lightgbm", "kernel_id": "38454213"}, {"ref": "naiku007/age-ml-base-1", "kernel_id": "38720418"}, {"ref": "andradaolteanu/zzz-good-night-sleep-with-80-memory-reduction", "kernel_id": "38428981"}, {"ref": "nicobarea/icr-with-tidymodels", "kernel_id": "38743408"}, {"ref": "dinowun/eda-simplified-icr-age-rel-conditions-en-zh", "kernel_id": "38447300"}, {"ref": "muhammadishaque/filling-missing-values-and-adjusting-outliers", "kernel_id": "38494945"}, {"ref": "diegomachado/icr-simple-logistic-regression-baseline", "kernel_id": "38811774"}, {"ref": "keitashimizu21/en-ja-icr-14th-solution", "kernel_id": "38966490"}, {"ref": "keitashimizu21/en-ja-first-firsteda-baseline-icr", "kernel_id": "38454797"}, {"ref": "saurabhsawhney/01-quick-data-to-submission", "kernel_id": "38494176"}, {"ref": "pavanhebli/icridentifying", "kernel_id": "38470081"}, {"ref": "benjenkins96/icr-comprehensive-analysis", "kernel_id": "38419017"}, {"ref": "tauilabdelilah/icr-optimized-lgb-lb-0-17-cv-0-18", "kernel_id": "38929975"}, {"ref": "tauilabdelilah/icr-hyperparameter-tuning-optuna", "kernel_id": "38824103"}, {"ref": "tauilabdelilah/icr-create-folds", "kernel_id": "38517550"}, {"ref": "tauilabdelilah/simple-baseline", "kernel_id": "38408516"}, {"ref": "shivanshuman/lightgbm-optuna-baseline", "kernel_id": "38474683"}, {"ref": "shivanshuman/lb-0-23-ensemble-catboost-xgboost-lightgbm", "kernel_id": "38495852"}, {"ref": "farzonaeraj/icr-identifying-age-related-conditions", "kernel_id": "38899674"}, {"ref": "kdmitrie/imputer-eda-models-test-with-optuna-blending", "kernel_id": "38502929"}, {"ref": "haroldmei/simple-h2o-automl-solution", "kernel_id": "38542772"}, {"ref": "aiaiaidavid/icr-baseline-xgboost-random-forest-and-shap", "kernel_id": "38451705"}, {"ref": "mobenmo/quick-eda-xgboost-0-31-score", "kernel_id": "38408060"}, {"ref": "mahadihasantarunno/icr-identifying-age-related-conditions", "kernel_id": "38678341"}, {"ref": "soupmonster/icr-simple-lightgbm-baseline", "kernel_id": "38691038"}, {"ref": "datafan07/icr-simple-eda-baseline", "kernel_id": "38476847"}, {"ref": "yashraj73/softmax-model-v1", "kernel_id": "38512141"}, {"ref": "shenyiqin/icr-lightgbm", "kernel_id": "38647524"}, {"ref": "theodorospsarras/ensemble-xgb-tabpfn-lgbm-stratified-kfold", "kernel_id": "38852953"}, {"ref": "duncankmckinnon/icr-in-r-ensemble", "kernel_id": "38818241"}, {"ref": "duncankmckinnon/icr-analysis-in-r", "kernel_id": "38528911"}, {"ref": "tomonorisasaki/prediction-and-comprehensive-eda", "kernel_id": "38706391"}, {"ref": "fernandosr85/dnn-model-for-binary", "kernel_id": "38974558"}, {"ref": "takaito/icr-iarc-gradient-boosting-ensemble-lb-0-22", "kernel_id": "38461526"}, {"ref": "takaito/icr-iarc-shakedown-countermeasure", "kernel_id": "38911469"}, {"ref": "takaito/icr-iarc-all-one-submission", "kernel_id": "38741813"}, {"ref": "manthanbhagat/simple-baseline-add-greeks-features", "kernel_id": "38521397"}, {"ref": "tomokihirose/lightgbm-visualize-tree-structure", "kernel_id": "38826031"}, {"ref": "nomuraryota/icr-identify-age", "kernel_id": "38515276"}, {"ref": "hechtjp/icr-eda-catboost-baseline", "kernel_id": "38872411"}, {"ref": "onkur7/eda-identify-age-related-condition", "kernel_id": "38427397"}, {"ref": "onkur7/nan-imputation-and-data-versioning", "kernel_id": "38794629"}, {"ref": "hongyuguo/icr-auxiliary-learning-upsample-deeplearning", "kernel_id": "38784887"}, {"ref": "danpietrow/private-lb-0-352-p9-the-one-that-got-away", "kernel_id": "38927640"}, {"ref": "louisbunuel/icr-lgbm-clf-optuna", "kernel_id": "38523338"}, {"ref": "henriupton/feature-selection-pytorch-mlp", "kernel_id": "38433598"}, {"ref": "davidjohnmillard/eda-pca-experimentation", "kernel_id": "38454676"}, {"ref": "ryosukeyakura/230521-eda-optuna-lightgbm", "kernel_id": "38767030"}, {"ref": "lordxerxes/just-the-beginning", "kernel_id": "38984273"}, {"ref": "mirabirhossain/age-competition", "kernel_id": "38743929"}, {"ref": "miyawakiyoshifumi/baseline-tabnet-model", "kernel_id": "38873526"}, {"ref": "sergiosaharovskiy/icr-iarc-2023-eda-and-submission", "kernel_id": "38440486"}, {"ref": "collinsakal/icr-eda-multiple-baselines", "kernel_id": "38455273"}, {"ref": "dlaststark/icr-new-dawn", "kernel_id": "38536709"}, {"ref": "nekhumbecolbert/humbulani-colbert-icr-with-random-forest", "kernel_id": "38461935"}, {"ref": "olemagnushiback/baseline-ensemble-model-with-tensorflow", "kernel_id": "38434570"}, {"ref": "ryotaichikawa/icr-01-eda-simple-lightgbm-baseline", "kernel_id": "38441486"}, {"ref": "soumyapati/icr-prediction-python", "kernel_id": "38844831"}, {"ref": "vinayaktiwari28/icr-first-version-with-some-tuning", "kernel_id": "38674354"}, {"ref": "vinayaktiwari28/icr-iarc-beginner-friendly-xgboost-baseline", "kernel_id": "38754434"}, {"ref": "chaitanyagiri/icr-2023-single-lgbm-0-12-cv-0-16-lb", "kernel_id": "38643276"}, {"ref": "jocelyndumlao/exploring-log-loss-analyzing-model-performance", "kernel_id": "38667585"}, {"ref": "jillanisofttech/baseline-with-best-accuracy", "kernel_id": "38467808"}, {"ref": "jillanisofttech/icr-identifying-age-related-conditions", "kernel_id": "38468726"}, {"ref": "tetsutani/icr-iarc-eda-ensemble-and-stacking-baseline", "kernel_id": "38466643"}, {"ref": "mohammad2012191/feature-engineering-for-anonymized-data", "kernel_id": "38437955"}, {"ref": "andtaichi/icr-lightgbm-baseline", "kernel_id": "38430513"}, {"ref": "andtaichi/eng-jpn-distribution-analysis", "kernel_id": "38776598"}, {"ref": "wksdnr123/let-s-gogo", "kernel_id": "38944236"}, {"ref": "maverickss26/icr-age-related-conditions-eda-modelling", "kernel_id": "38494879"}, {"ref": "ceyhunsahin/pycaret-binary-classification-basemodel", "kernel_id": "38732406"}, {"ref": "ceyhunsahin/rus-gridsearch-private-score-0-4", "kernel_id": "38652946"}, {"ref": "yuvannabawa/icr-deeplearning", "kernel_id": "38817498"}, {"ref": "bhuvanagayathri/icr-identifying-age-related-conditions", "kernel_id": "38843003"}, {"ref": "maddalasravani/identifying-age-related-conditions", "kernel_id": "38846239"}, {"ref": "jonblanchard/icr-eda-and-baseline-model", "kernel_id": "38609600"}, {"ref": "jakubrogulski/ensemble-of-4-models", "kernel_id": "38517414"}, {"ref": "kenzi1323/note-how-to-solve-submission-error", "kernel_id": "38751909"}, {"ref": "kalyansekhar07/baseline-submission-with-optuna", "kernel_id": "38948290"}, {"ref": "maryiaznak/different-strategies-for-imbalanced-target", "kernel_id": "38659690"}, {"ref": "sujaykapadnis/icr-starter-boxcox-distribution", "kernel_id": "38830321"}, {"ref": "jiawen9/0-16-lgb", "kernel_id": "38990971"}, {"ref": "johnericbonilla/data-exploration-pca-and-rf", "kernel_id": "38520131"}, {"ref": "johnericbonilla/pytorch-modlel-the-adventure-begins", "kernel_id": "38669625"}, {"ref": "leehomhuang/simple-xgb-without-greeks", "kernel_id": "38628806"}, {"ref": "josemariasabater/xgboost-age", "kernel_id": "38814637"}, {"ref": "manuelnkegoum/competition-age-related", "kernel_id": "38590759"}, {"ref": "wadgek/top-8-solution-on-icr-challenge", "kernel_id": "38707518"}, {"ref": "iniyatj/icr-identifying-age-related-conditions", "kernel_id": "38608642"}, {"ref": "divyanshikapoor05/icr-eda-for-beginners", "kernel_id": "38538915"}, {"ref": "devanshu12122/xgboost-icr-01-hyperp", "kernel_id": "38978515"}, {"ref": "smnuruzzaman/icr-catboost", "kernel_id": "38495691"}, {"ref": "karltonkxb/age-related-conditions-dl-classification", "kernel_id": "38471728"}, {"ref": "harshitkmr/lgbm-classifier-icr", "kernel_id": "38471654"}, {"ref": "harshitkmr/icr-pycaret-automl-eda-baseline", "kernel_id": "38609321"}, {"ref": "josipvrdoljak/model-evaluation-repeated-cv", "kernel_id": "38639733"}, {"ref": "ulisesmontoyacanales/icr-identifying-age-related-conditions-eda", "kernel_id": "38413586"}, {"ref": "leiwong/icr-simple-baseline-and-submission", "kernel_id": "38587965"}, {"ref": "leiwong/icr-eda-xgb-baseline-pipeline-explaination", "kernel_id": "38472661"}, {"ref": "qiaoningchen/agerelatedconditions-simpleensemble", "kernel_id": "38556467"}, {"ref": "ayushs9020/understanding-the-competition-icr-eda", "kernel_id": "38468879"}, {"ref": "rzatemizel/a-quick-baseline-pipeline-with-flaml-smote", "kernel_id": "38484955"}, {"ref": "rajatborkar/icr-age-related-conditions", "kernel_id": "38796113"}, {"ref": "varsha007/notebook1d9da06408", "kernel_id": "38409500"}, {"ref": "mehulgoyal94/notebook34acee4379", "kernel_id": "38522395"}, {"ref": "mehulgoyal94/notebook844d49ec87", "kernel_id": "38808760"}, {"ref": "dngngy/icr-classification-with-convnet", "kernel_id": "38682571"}, {"ref": "dngngy/icr-tensorflow-ensemble", "kernel_id": "38958903"}, {"ref": "camillagretschel/improve-based-on-icr-first-version", "kernel_id": "38736966"}, {"ref": "iqbalsyahakbar/icr-eda-and-ensemble-for-starters", "kernel_id": "38732071"}, {"ref": "mattop/icr-identifying-age-related-conditions-eda", "kernel_id": "38412154"}, {"ref": "vibhorsharma111/icr-the-simple-the-better", "kernel_id": "38545825"}, {"ref": "vibhorsharma111/icr-eda-lightgbm-detailed-explanation", "kernel_id": "38899187"}, {"ref": "moro146/icr-2023-eda", "kernel_id": "38730625"}, {"ref": "vadimkamaev/tabpfn-postprocessing", "kernel_id": "38895798"}, {"ref": "vadimkamaev/postprocessin-ensemble", "kernel_id": "38841678"}, {"ref": "vadimkamaev/icr-identify-age", "kernel_id": "38943488"}, {"ref": "emekeh/icr-age-related-conditions-using-ml", "kernel_id": "38876947"}, {"ref": "vynokurovyegor/predict", "kernel_id": "38853254"}, {"ref": "saipoojalakkoju/icr-problem", "kernel_id": "38881897"}, {"ref": "dustinober/age-related-conditions", "kernel_id": "38481998"}, {"ref": "jiangwendong/notebook0afaf21a25", "kernel_id": "38708880"}, {"ref": "itnaava/icr-classification-problem", "kernel_id": "38433590"}, {"ref": "minhnghacan/notebook295e8a82dd", "kernel_id": "38633634"}, {"ref": "piehtvh/icr-iarc-simple-modeling", "kernel_id": "38606017"}, {"ref": "kondetisandeep/icr-logistic-regression-model", "kernel_id": "38881412"}, {"ref": "kondetisandeep/icr-identifying-related-conditions", "kernel_id": "38840224"}, {"ref": "nazimcherpanov/icr-xgboot-and-lgb-voting-stacking", "kernel_id": "38438601"}, {"ref": "xb12345/icr-improve-based-on-icr-first-version", "kernel_id": "38607883"}, {"ref": "aditya1064/icr-age-related-condition", "kernel_id": "38674550"}, {"ref": "eu1234/identifying-age-related-conditions", "kernel_id": "38409304"}, {"ref": "umesalma/icr-logistic-regression-model", "kernel_id": "38831513"}, {"ref": "ziadelassal/icr-yeo-johnson-transformation-eda-modelling", "kernel_id": "38829357"}, {"ref": "damathajorisaxel/icr-age-eda-pca-vs-feature-selection", "kernel_id": "38469907"}, {"ref": "mmoore23/icr-baseline-random-forest", "kernel_id": "38415677"}, {"ref": "pradeepsapparapu/icr-identifying-age-related-eda-model-sub", "kernel_id": "38532527"}, {"ref": "samuelabatnehendalie/icr-identifying-age-related-conditions", "kernel_id": "38473056"}, {"ref": "andreierofeev/voting-ensemble-xgb-rf-knn", "kernel_id": "38473905"}, {"ref": "andreierofeev/catboost-xgboost-baseline", "kernel_id": "38526741"}, {"ref": "ailafelixa/icr-iarc-pre-process-cat-boost-classifier", "kernel_id": "38515540"}, {"ref": "dishaasinghi/simple-eda-using-xgboost", "kernel_id": "38436363"}, {"ref": "jacoballessio/ensemble-randomundersampler", "kernel_id": "38990238"}, {"ref": "deveshupreti/icr-identifying-age-related-conditions-notebook", "kernel_id": "38792237"}, {"ref": "tarkhon/icr-identifying-age-related-conditions", "kernel_id": "38996883"}, {"ref": "kemalmaolana/icr-identify-eda-naive-bayes", "kernel_id": "38754271"}, {"ref": "mathyseizaecrepin/icr-binary-classification-xgb-model", "kernel_id": "38497159"}, {"ref": "popcornmike/notebooke8a4e40107", "kernel_id": "38589837"}, {"ref": "mohammadjavadpk/notebook6b8d98767f", "kernel_id": "38773377"}, {"ref": "suryaprakashmusunuri/icr-age", "kernel_id": "38900045"}, {"ref": "sangbeompark999/icr-iarc-eda-ensemble-and-stacking-baseline", "kernel_id": "38935822"}, {"ref": "manojkumarpentapalli/icr-manoj", "kernel_id": "38832813"}, {"ref": "manojkumarpentapalli/version-1", "kernel_id": "38852656"}, {"ref": "matthewsfarmer/icr-mfarme", "kernel_id": "38564396"}, {"ref": "keerthanasujitha/icrnb", "kernel_id": "38886627"}, {"ref": "thirumalaraom/icr-notebook", "kernel_id": "38841918"}, {"ref": "hemanthx99/icr-identify-age-related-conditions", "kernel_id": "38830890"}, {"ref": "pavandev/notebook23dd0879e2", "kernel_id": "38721741"}, {"ref": "pranavatote/xgboost-model-icr-prediction", "kernel_id": "38849832"}, {"ref": "mueid20/icr-preprocessed", "kernel_id": "38813515"}, {"ref": "thomasgamet/icr-age-related-conditions-predictions", "kernel_id": "38769849"}, {"ref": "tmkartikeypillay/tensor-flow-base-line", "kernel_id": "38860410"}, {"ref": "mohammedzayyad/lb-0-16-tf-xgboost", "kernel_id": "38620168"}, {"ref": "pillasaipavan/icr-age", "kernel_id": "38935678"}, {"ref": "ks160050056/icr-balanced-log-loss-implementation-baseline", "kernel_id": "38760027"}, {"ref": "rfeng12/age-related-conditions", "kernel_id": "38454933"}, {"ref": "ahmed00004/notebook31-a6aa2115", "kernel_id": "38451529"}, {"ref": "ninadaithal/age-related-conditions", "kernel_id": "38480413"}, {"ref": "soyabulislamlincoln/icr-data-eda-baseline", "kernel_id": "38791374"}, {"ref": "e271828ai/icr-arc-01-simplebaseline-en-jp-20230512", "kernel_id": "38422323"}, {"ref": "taiyokaggle/ver001-first-catboost", "kernel_id": "38690263"}, {"ref": "ashlerjohnherrick/catboost", "kernel_id": "38525822"}, {"ref": "myliew/simple-stacked-cat-lgbm", "kernel_id": "38867720"}, {"ref": "timryall/simple-random-forests-age-related-conditions", "kernel_id": "38766619"}, {"ref": "ziwenwang0705/identifying-age-related-conditions", "kernel_id": "38940474"}, {"ref": "ppujari/icr2023-xgboost", "kernel_id": "39210631"}, {"ref": "adaubas/why-is-tabpfn-so-slow-to-do-predictions", "kernel_id": "39392745"}, {"ref": "saurograndi/xgboost-classifier", "kernel_id": "39365312"}, {"ref": "sidhart/icr-2023-logreg-en-class-weights", "kernel_id": "39099635"}, {"ref": "xiefei/icr-2023-single-lgbm-0-12-cv-0-16-lb", "kernel_id": "39656177"}, {"ref": "raddar/convert-icr-data-to-integers", "kernel_id": "39101799"}, {"ref": "muelsamu/simple-tabpfn-approach-for-score-of-15-in-1-min", "kernel_id": "39101118"}, {"ref": "andrejvetrov/4rd-place-solution", "kernel_id": "39360475"}, {"ref": "poskok/icrcompetition-dataanalysis", "kernel_id": "39769546"}, {"ref": "emphymachine/private-gold-solution-svm-rf-xgb-kfold-ensemble", "kernel_id": "39892798"}, {"ref": "wamateusz/icr-naive-approach-xgb-weighted-classes", "kernel_id": "39836071"}, {"ref": "nnjjpp/epsilon-eda-for-icr-competition", "kernel_id": "39968854"}, {"ref": "bowaka/icr-how-to-really-use-early-stopping-with-lgb", "kernel_id": "39766405"}, {"ref": "ulrich07/tabfpn-and-xgboost-cv-0-19-lb-0-17", "kernel_id": "39105551"}, {"ref": "ulrich07/icr-a-similarity-based-approach", "kernel_id": "39378904"}, {"ref": "chenjiexu/pytorch-tabnet", "kernel_id": "39111069"}, {"ref": "tatudoug/logistic-regression-baseline", "kernel_id": "39197495"}, {"ref": "samu2505/bagging", "kernel_id": "39160245"}, {"ref": "samu2505/icr-xgb-lgbm-tuning", "kernel_id": "39288600"}, {"ref": "samu2505/icr-pca-clustering", "kernel_id": "39214460"}, {"ref": "joebeachcapital/icr-eda-model-pipeline-optuna", "kernel_id": "39903252"}, {"ref": "joebeachcapital/icr-models-lr-rf-svm-xgb-gbm-nn-nb-knn-optuna", "kernel_id": "39675232"}, {"ref": "joebeachcapital/icr-logistic-regression", "kernel_id": "39672661"}, {"ref": "lucasboesen/xgb-cv-0-37-private-0-43-public-0-23", "kernel_id": "39241546"}, {"ref": "kononenko/icr-one-cell-linear-regression", "kernel_id": "39852857"}, {"ref": "aruaru0/icr-ensamble-baseline", "kernel_id": "39726029"}, {"ref": "aruaru0/icr-pycaret-infer-only", "kernel_id": "39566601"}, {"ref": "shriekingwanderer/top-186-solution-silver", "kernel_id": "39103379"}, {"ref": "aikhmelnytskyy/lb-0-11-cv-0-2-tabpfn-xgb-model", "kernel_id": "39763483"}, {"ref": "maiernator/exploration-simple-ensemble-model", "kernel_id": "39605154"}, {"ref": "stpeteishii/icr-lgbm-importance", "kernel_id": "39210275"}, {"ref": "stpeteishii/icr-lgbm-with-optuna", "kernel_id": "39183160"}, {"ref": "gloomychan/tabnet-baseline", "kernel_id": "39997030"}, {"ref": "yuriao/icr-aging-with-lgbm", "kernel_id": "39290250"}, {"ref": "muhammad4hmed/0-12-lb-1-01-cv-10-fold-cross-validation", "kernel_id": "39230460"}, {"ref": "beatwad/my-eda", "kernel_id": "39531373"}, {"ref": "naiku007/age-clsfy-xgboost", "kernel_id": "39879194"}, {"ref": "iargarcia/notebook184a4d1b91", "kernel_id": "39971926"}, {"ref": "mohamed3abdelrazik/icr-2023-baseline", "kernel_id": "39220348"}, {"ref": "diegomachado/icr-logistic-regression-baseline-0-37", "kernel_id": "39617354"}, {"ref": "carlmcbrideellis/icr-condition-d-in-the-public-and-private-dataset", "kernel_id": "39874097"}, {"ref": "manishkuma1r/icr-new-predictions", "kernel_id": "39324278"}, {"ref": "masatakaitakura/for-beginner-icr-eda-xgb-submission-baseline", "kernel_id": "39590562"}, {"ref": "masatakaitakura/beginner-icr-modeling-evaluation-ensemble", "kernel_id": "39898240"}, {"ref": "tauilabdelilah/icr-lgb-multiple-seeds-lb-cv-0-16", "kernel_id": "39250011"}, {"ref": "tauilabdelilah/icr-the-devil-is-in-class-m-at-gamma", "kernel_id": "39201279"}, {"ref": "emxheena/icr-model-selection-histgradientboosting", "kernel_id": "39076515"}, {"ref": "aliabdin1/icr-fasteda", "kernel_id": "39490073"}, {"ref": "scipygaurav/icr-improved-tabpfn-xgb-lb-0-11", "kernel_id": "39636845"}, {"ref": "irasalsabila/icr-identify-age", "kernel_id": "39006657"}, {"ref": "doctorfamiliar/doing-some-feature-selection", "kernel_id": "39820171"}, {"ref": "woosungyoon/icr-data-preprocessing", "kernel_id": "39202314"}, {"ref": "woosungyoon/icr-loss-function", "kernel_id": "39198391"}, {"ref": "muhammadhadi28/rf-icr-identifying-age", "kernel_id": "39990245"}, {"ref": "quangnhatbui/icr-eda-and-model-selection-xgb-randomforest", "kernel_id": "39345031"}, {"ref": "christophercoffee/very-simple-example-of-clustering-utility", "kernel_id": "39799669"}, {"ref": "anikzaman/icr-logistic-regression", "kernel_id": "39089928"}, {"ref": "justinmustaine/rfc-gridsearch", "kernel_id": "39903087"}, {"ref": "dplg007/icr-catboostclassifier-with-gridsearchcv", "kernel_id": "39958928"}, {"ref": "michaelwolff/comparing-unb-bal-log-loss-with-binary-all-classes", "kernel_id": "39884100"}, {"ref": "kevinmontes/baseline-submission-logisticregression", "kernel_id": "39271626"}, {"ref": "kevinmontes/exploratory-data-analysis", "kernel_id": "39984883"}, {"ref": "ivanzayarsky/icr-random-forest", "kernel_id": "39651644"}, {"ref": "sharkyun/first-attempt-with-random-forest", "kernel_id": "39383617"}, {"ref": "gauthamdinanath/notebook-icr", "kernel_id": "39172024"}, {"ref": "reymaster/starter-greeks-w-iterative-imputation-ensemble", "kernel_id": "39935838"}, {"ref": "propriyam/icr-tabpfn-lgb-xgb-lb-0-17-cv-0-16", "kernel_id": "39701741"}, {"ref": "mirenaborisova/icr-2", "kernel_id": "39190734"}, {"ref": "jabreal/icr-age-related-disease-prediction", "kernel_id": "39193484"}, {"ref": "thomasmeiner/icr-introducing-bluecast-automl", "kernel_id": "39776936"}, {"ref": "irfanac/icr-notebook", "kernel_id": "39130018"}, {"ref": "zjyhhh/ensemble-6-17", "kernel_id": "39123856"}, {"ref": "shatabdi5/icr-age-related-health-condition", "kernel_id": "39792401"}, {"ref": "evgeniyvigurskiy/icr-with-optuna-ipynb", "kernel_id": "39117625"}, {"ref": "lordxerxes/just-the-beginning-2", "kernel_id": "39557388"}, {"ref": "mengdeyu/icr-identify-age-0-11", "kernel_id": "39920565"}, {"ref": "miyawakiyoshifumi/training-ej-lightgbm-smote", "kernel_id": "39256301"}, {"ref": "miyawakiyoshifumi/table-to-image", "kernel_id": "39038634"}, {"ref": "miyawakiyoshifumi/beseline-lightgbm-smote", "kernel_id": "39136615"}, {"ref": "ryanbarretto/103rd-place-solution", "kernel_id": "39236552"}, {"ref": "marianilzaramos/bora-l", "kernel_id": "39110495"}, {"ref": "harishgehlot/icr-xgboost", "kernel_id": "39760430"}, {"ref": "benidictusgalihmp/icr-eda-optuna-xgb-lgbm", "kernel_id": "39573107"}, {"ref": "benidictusgalihmp/icr-autogluon-tabular-predictor", "kernel_id": "39746582"}, {"ref": "gzguevara/brute-force-features-cv-25-20", "kernel_id": "39261679"}, {"ref": "gzguevara/icr-lgbm-submission", "kernel_id": "39027029"}, {"ref": "chakkagunasekhar/icr-final", "kernel_id": "39783398"}, {"ref": "manavgarg663/icr-competition", "kernel_id": "39175006"}, {"ref": "d0641915/notebooka56aeb7044", "kernel_id": "39629164"}, {"ref": "sugataghosh/icr-the-devil-is-in-the-greeks", "kernel_id": "39137573"}, {"ref": "sugataghosh/icr-catboost-no-greeks-lb-0-25", "kernel_id": "39715014"}, {"ref": "zocainviken/age-related-conditions-features-selection", "kernel_id": "39563575"}, {"ref": "zocainviken/eda-identifying-age-related-conditions-tests", "kernel_id": "39453516"}, {"ref": "room722/icr-adv-model", "kernel_id": "39271533"}, {"ref": "youneseloiarm/simple-tabpfn-approach-for-score-of-15-in-1-min", "kernel_id": "39142512"}, {"ref": "jillanisofttech/icr-identify-age-score-0-14-and-eda", "kernel_id": "39195051"}, {"ref": "jillanisofttech/icr-identify-age-best-score-0-12", "kernel_id": "39362906"}, {"ref": "jillanisofttech/icr-identify-age-lb-0-11", "kernel_id": "39483895"}, {"ref": "junjitakeshima/icr-easy-improvement-for-beginner-eng", "kernel_id": "39336821"}, {"ref": "avieldanin/notebookefa23fc016", "kernel_id": "39199750"}, {"ref": "maverickss26/lb-0-11-icr-identify-age-updated", "kernel_id": "39536340"}, {"ref": "maverickss26/lb-0-11-icr-identify-age", "kernel_id": "39020662"}, {"ref": "bilalafzal255/baseline-lightgbm", "kernel_id": "39966231"}, {"ref": "cristiandeblasis/icr-inicial-lgbm-cv", "kernel_id": "39306211"}, {"ref": "lelechaa/notebook6a0baceec5", "kernel_id": "39912726"}, {"ref": "gusthema/identifying-age-related-conditions-w-tfdf", "kernel_id": "39303455"}, {"ref": "gokifujiya/icr-features-selection-for-medical-practice", "kernel_id": "39813523"}, {"ref": "gokifujiya/icr-identifying-age-related-conditions-baseline", "kernel_id": "39468273"}, {"ref": "thomaswrightanderson/identifying-age-related-conditions-kaggle-comp", "kernel_id": "39966228"}, {"ref": "tiffanykuang/baseline-submission-logisticregression", "kernel_id": "39381671"}, {"ref": "aditya9790/icr-dnn-vs-xgboost", "kernel_id": "39339870"}, {"ref": "aditya9790/icr-eda-lightgbm-optuna", "kernel_id": "39144294"}, {"ref": "hari31416/icr-eda-and-preprocessing", "kernel_id": "39487952"}, {"ref": "kalyansekhar07/lightgbm-xgboost-model-with-optuna", "kernel_id": "39090894"}, {"ref": "jiawen9/cv-0-2-cv-and-ensemble", "kernel_id": "39626531"}, {"ref": "jiawen9/ertu-rul-demir-eda", "kernel_id": "39309555"}, {"ref": "srijansrivastava01/icr-xgb", "kernel_id": "39129638"}, {"ref": "sergeyyakovlev1312/icr-classification", "kernel_id": "39497246"}, {"ref": "i191796majid/icr-eda-ensemble", "kernel_id": "39615146"}, {"ref": "gerardogonzlez/icr-glez", "kernel_id": "39979805"}, {"ref": "spike8086/identifying-age-related-conditions", "kernel_id": "39945686"}, {"ref": "arafatshovon/icr-age-related-condition", "kernel_id": "39101326"}, {"ref": "nabhanda1239/icr-competition-final-solution", "kernel_id": "39150886"}, {"ref": "ahmedgeka/icr-eda-modeling-submission", "kernel_id": "39113579"}, {"ref": "shivam2111/icr-sub1", "kernel_id": "39858877"}, {"ref": "siddhvr/icr-0-16-ensemble-fine-tune", "kernel_id": "39927918"}, {"ref": "kazumayoshida/notebook8c1d02ecae", "kernel_id": "39494374"}, {"ref": "josipvrdoljak/slightly-modified-tabpfn", "kernel_id": "39359956"}, {"ref": "josipvrdoljak/evaluating-different-gbt-tabpfn-approaches", "kernel_id": "39156559"}, {"ref": "rzatemizel/optuna-xgboostcv-integration-with-pruning", "kernel_id": "39932907"}, {"ref": "yuezhoul/icr-xgb-tpn-with-cv-private-0-36-public-0-16", "kernel_id": "39245041"}, {"ref": "oluwasegunodunlami/icr-project-with-adaboost", "kernel_id": "39712489"}, {"ref": "mohamedmaboshady/lgbm-classifer", "kernel_id": "39130383"}, {"ref": "alex8554/normalizing-data", "kernel_id": "39423978"}, {"ref": "abdullahkavakli/icr-700th-place-lgbm-catboost-qda-lda", "kernel_id": "39893948"}, {"ref": "mehulgoyal49/notebookdcf7a7d933", "kernel_id": "39259877"}, {"ref": "ternarystorm/xgb-cv-0-24-lb-0-25", "kernel_id": "39376454"}, {"ref": "amitmalhotra03/xgb-disease-pred", "kernel_id": "39619385"}, {"ref": "amitmalhotra03/disease-prediction", "kernel_id": "39581376"}, {"ref": "nowshad231/icr-identify-age-related-conditions", "kernel_id": "39559297"}, {"ref": "xxswkl/neuralnetwork", "kernel_id": "39764040"}, {"ref": "abdelghaniaaba/notebookc57656aa3d", "kernel_id": "39037110"}, {"ref": "nataliekalina/simple-eda-model-selection-submission-icr", "kernel_id": "39536788"}, {"ref": "shoabahamed/icr-eda-logistic-regression-model", "kernel_id": "39274665"}, {"ref": "ramakrushnamohapatra/icr-modelling", "kernel_id": "39066465"}, {"ref": "shadowbrightness/icr-search", "kernel_id": "39635912"}, {"ref": "jacobfurfine/brief-eda-compilation", "kernel_id": "39985242"}, {"ref": "shailjakanttiwari/icar-ensemble-training", "kernel_id": "39556135"}, {"ref": "ayanamy/icr-eda", "kernel_id": "39983228"}, {"ref": "diodupont/eda-randonforest-balanced-log-loss", "kernel_id": "39114692"}, {"ref": "diodupont/randomundersampler-ipynb", "kernel_id": "39122295"}, {"ref": "shivanshuverma/ideal-notebook-for-beginners-easy-to-understand", "kernel_id": "39232187"}, {"ref": "ajinkyawalunj/icr-rf-gscv", "kernel_id": "39224216"}, {"ref": "zizh3ngzhang/modified-tabpfr", "kernel_id": "39202011"}, {"ref": "mousemice/icr-flaml-automl-lgbm", "kernel_id": "39210258"}, {"ref": "benyameentharwat/lightgbm-accuracy-91", "kernel_id": "39843851"}, {"ref": "meiyuxin/fork-of-notebook4ec6c171f0", "kernel_id": "39586182"}, {"ref": "meiyuxin/notebookf4317562a8", "kernel_id": "39586829"}, {"ref": "meiyuxin/notebook4ec6c171f0", "kernel_id": "39311194"}, {"ref": "mayurdushetwar/predicting-age-related-conditions-icr", "kernel_id": "39118334"}, {"ref": "paulbuono/first-attempt-2", "kernel_id": "39960216"}, {"ref": "vaibhavjain2004/public-krni-pdi", "kernel_id": "39667194"}, {"ref": "umesalma/icr-decisiontreeclassifier-randomforest", "kernel_id": "39958867"}, {"ref": "qianruihe626/icr-eda-section", "kernel_id": "39719668"}, {"ref": "oles04/pycaret-model-evaluation", "kernel_id": "39172298"}, {"ref": "ziadelassal/icr-eda-boosting-featureeng", "kernel_id": "39120045"}, {"ref": "uyzz9755/icr-competition-2023", "kernel_id": "39858387"}, {"ref": "sombrahacker/catboostclassifier-and-optuna", "kernel_id": "39928259"}, {"ref": "steadyfox2/easy-lgbm-optuna", "kernel_id": "39619327"}, {"ref": "jaycobson51/jaycobson-testing1", "kernel_id": "39220668"}, {"ref": "pradeepsapparapu/icr-identifying-age-related-eda-model-submis", "kernel_id": "39058203"}, {"ref": "mohamedouchir/icr-catboost", "kernel_id": "39202159"}, {"ref": "panini92/icr-eda-model-comparison-submission", "kernel_id": "39806818"}, {"ref": "andreierofeev/lb-0-11-ensemble-of-kaggle-solutions", "kernel_id": "39117939"}, {"ref": "arpitytlinux/notebook825718bcbb", "kernel_id": "39378079"}, {"ref": "neutrino404/icr-tabpfn", "kernel_id": "39977128"}, {"ref": "mateuszk013/icr-eda-balanced-learning-with-lgbm-xgb", "kernel_id": "39486927"}, {"ref": "yatinaggarwal033/icr-competition", "kernel_id": "39058189"}, {"ref": "charleschuang/baseline-randomforest-0-34-lb", "kernel_id": "39232863"}, {"ref": "charleschuang/svm-rf-xgb-cv-0-13-lb-0-34-r", "kernel_id": "39786055"}, {"ref": "smokeyscraper/icrnb", "kernel_id": "39826582"}, {"ref": "sangbeompark999/icr-hyperparameter-tuning-optuna", "kernel_id": "39332507"}, {"ref": "giuseppegarigliano/using-alpha-as-target", "kernel_id": "39714972"}, {"ref": "siliva1799/identifying-age-related-conditions-w-tfdf", "kernel_id": "39925320"}, {"ref": "ncmurali/icr-notebook", "kernel_id": "39015558"}, {"ref": "aesedeu/baseline-icr-classification", "kernel_id": "39219887"}, {"ref": "yuyaterasawa/icr-model", "kernel_id": "39807175"}, {"ref": "khalidmostafa/icr-eda-model-selection", "kernel_id": "39919137"}, {"ref": "tmkartikeypillay/tf-eda-oversampling-adasyn", "kernel_id": "39088686"}, {"ref": "tmkartikeypillay/oversampling-outlier-detection", "kernel_id": "39527365"}, {"ref": "thelastsmilodon/lb-0-06-cv-0-2-tabpfn-xgb-model", "kernel_id": "39239221"}, {"ref": "sakthinarayanan/icr-competition", "kernel_id": "39067666"}, {"ref": "samfouad/icr-identifying-age-related-conditions-ml", "kernel_id": "39555199"}, {"ref": "paidakang/xgb-lgb", "kernel_id": "39966398"}, {"ref": "thatmathmajor/eda-cameron", "kernel_id": "39981916"}, {"ref": "mouadsadik/identifying-age-related-conditions", "kernel_id": "39797194"}, {"ref": "damerajee/icr-classification123", "kernel_id": "39545930"}, {"ref": "vcode1509/icr-rf-classifier-svm-lgbm", "kernel_id": "39390456"}, {"ref": "xirongcui/notebook14483d972c", "kernel_id": "39853173"}, {"ref": "eugenebarykin/icr-logregr", "kernel_id": "39309003"}, {"ref": "kishore3914/icr-solver", "kernel_id": "39379617"}, {"ref": "panmingxia/competition-icr", "kernel_id": "39208444"}, {"ref": "kostasskantzis/notebookb441c175ba", "kernel_id": "39013633"}, {"ref": "masahirofuruta/icr-20230629-f", "kernel_id": "39174248"}, {"ref": "dmitriygakh/icr-arc-beginner-xgboost", "kernel_id": "39764739"}, {"ref": "mizoisho/icr-2023-06-07", "kernel_id": "39190235"}, {"ref": "mohdsufiyan095/notebooka11cab4235", "kernel_id": "39822879"}, {"ref": "josemanuelguzman/notebookf00e1f3922", "kernel_id": "39466814"}, {"ref": "izkoli/icr-predictions", "kernel_id": "39152338"}, {"ref": "quantyrainc/icr-notebook", "kernel_id": "39445041"}, {"ref": "pedrokim00/icr-exame-csi22", "kernel_id": "39495844"}, {"ref": "ziwenwang0705/icr-identify-age-4db1a6-e913a5", "kernel_id": "39088538"}, {"ref": "ggdelhi/icr-neural-networks", "kernel_id": "39304874"}, {"ref": "jasmineychan/icr-eda-processing", "kernel_id": "39705137"}, {"ref": "romanmarygin/icr-logregr", "kernel_id": "39340771"}, {"ref": "juzykaggle/catboost-accuracy-0-9558", "kernel_id": "39920416"}, {"ref": "sekineyusuke/icr-simple-eda-baseline", "kernel_id": "39992341"}, {"ref": "cyc2023i/stackimh", "kernel_id": "39713199"}, {"ref": "eyeseeaar/tabpfn-postprocessing", "kernel_id": "39902258"}, {"ref": "mohit19/icr-age-related-code", "kernel_id": "40451995"}, {"ref": "christph/automl-full-workflow", "kernel_id": "40390888"}, {"ref": "adaubas/icr-about-features-selection", "kernel_id": "40066562"}, {"ref": "johnabe/understanding-the-competition-cost-function", "kernel_id": "40998988"}, {"ref": "raddar/icr-competition-analysis-and-findings", "kernel_id": "40566875"}, {"ref": "michal71/random-forest-classification-with-girdsearch", "kernel_id": "40495804"}, {"ref": "yasarc4/109-place-solution-publiclb-0-19-privatelb-0-38", "kernel_id": "40671571"}, {"ref": "pashadude/joinpolts-eda-charts", "kernel_id": "40201122"}, {"ref": "ivanisaev/icr-coefs-for-voting-ensamble", "kernel_id": "40858574"}, {"ref": "cv13j0/icr-identifying-age-related-conditions-gdbt", "kernel_id": "40704556"}, {"ref": "finlay/public-krni-pdi-with-four-additional-models", "kernel_id": "40419582"}, {"ref": "mohit2512/icr-identify-age-related-conditions", "kernel_id": "40822976"}, {"ref": "maniceet/catboost-eda", "kernel_id": "40124970"}, {"ref": "shashaalam/icr-xg-cb-lg-tfdf-fa", "kernel_id": "40645819"}, {"ref": "blackitten13/multilabelstratifiedkfold-scam-you-need-ohe", "kernel_id": "40170201"}, {"ref": "stajdi/outliers-clusters-and-brute-force-features-extd", "kernel_id": "40326030"}, {"ref": "renaldohermawan/very-noob-quickstart-binary-classification", "kernel_id": "40792006"}, {"ref": "renaldohermawan/icr-competition-automl-mljar-multiclass", "kernel_id": "40491481"}, {"ref": "maheshak04/understanding-data-icr", "kernel_id": "40077454"}, {"ref": "ksevta/icr-identifying-age-related-conditions", "kernel_id": "40054273"}, {"ref": "shubham219/basic-nn", "kernel_id": "40374537"}, {"ref": "hung0319/notebook0e1c393dbc", "kernel_id": "40881236"}, {"ref": "bobber/identifying-age-related-conditions-w-tfdf", "kernel_id": "40861483"}, {"ref": "roger92/tabpfn-withoutticks", "kernel_id": "40201231"}, {"ref": "roger92/singlelgb-lb0-16-with-analysis", "kernel_id": "40105826"}, {"ref": "tonychenxyz/feature-importance-eda", "kernel_id": "40017458"}, {"ref": "ulrich07/tabfpn-xgb-oversampling-cv-0-18-lb-0-16", "kernel_id": "40196285"}, {"ref": "mohneesh7/tabpfn-xgb-with-stratifiedkf-cv", "kernel_id": "40410061"}, {"ref": "pratul007/icr-identify-age-related-conditions", "kernel_id": "40366195"}, {"ref": "nfls1215/icr-xgboost-ensemble", "kernel_id": "40709602"}, {"ref": "dhritidas/icr-xgclassifier", "kernel_id": "40230681"}, {"ref": "sinanozdemir/icr-identifying-age-related-conditions-xgboost", "kernel_id": "40963857"}, {"ref": "awaldeep/icr-xgboost-smote-scaling-knn-imputer-0-18", "kernel_id": "40627552"}, {"ref": "awaldeep/first-look-eda-baseline-sub-0-26-val-logloss", "kernel_id": "40508445"}, {"ref": "aliasgherman/logisticregression-and-catboost-simple-code", "kernel_id": "40525841"}, {"ref": "aliasgherman/post-processing-thresholding-function-icr", "kernel_id": "40573361"}, {"ref": "nikkitha8/icr-competition-age-related-classification", "kernel_id": "40492603"}, {"ref": "siddharthkumarsah/icr-solution-log-loss-0-10801969653387", "kernel_id": "40268805"}, {"ref": "teerrru/eda-random-forest", "kernel_id": "40017072"}, {"ref": "englishpatient/chatgpt-code-interpreter-on-icr-competition", "kernel_id": "40881766"}, {"ref": "vinitkp/icr-eda-submission", "kernel_id": "40642014"}, {"ref": "nkenyor/dream-model-icr", "kernel_id": "40282008"}, {"ref": "putrorohmawan/identifying-age-related-condition", "kernel_id": "40676012"}, {"ref": "livioludolff/random-forest-hyperparameter-tuning", "kernel_id": "40355847"}, {"ref": "carol292/xgb-lgb-final", "kernel_id": "40414420"}, {"ref": "elcaiseri/icr-tabularnn-bagging-baseline-cv-0-05", "kernel_id": "40746731"}, {"ref": "elcaiseri/icr-multiheads-ensemble-baseline-cv-0-23-eda", "kernel_id": "40691290"}, {"ref": "ishanpurohit/icr-prediction-tfdf", "kernel_id": "40579174"}, {"ref": "aikhmelnytskyy/public-krni-pdi-with-two-additional-models", "kernel_id": "40296102"}, {"ref": "rachanabisht/icr-comprehensive-eda", "kernel_id": "40711863"}, {"ref": "jboss7/icr-xgboost-model-prediction", "kernel_id": "40213775"}, {"ref": "renatoreggiani/icr-bestpublicscore-add-xgb-lgbm", "kernel_id": "40608720"}, {"ref": "renatoreggiani/brute-force-cv-best-public-model", "kernel_id": "40392442"}, {"ref": "renatoreggiani/xgb-blend", "kernel_id": "40071328"}, {"ref": "alejopaullier/icr-train-1-million-models-in-1-hour", "kernel_id": "40576814"}, {"ref": "dagneazene/icr-gboostedtree-starter-code", "kernel_id": "40760539"}, {"ref": "diogofs/icr-first-attempt-8882", "kernel_id": "40557884"}, {"ref": "muhammad4hmed/public-krni-pdi-with-pseudo-labelling", "kernel_id": "40365050"}, {"ref": "dky7376/icr-identifying-age-related-conditions-w-rf", "kernel_id": "40815433"}, {"ref": "beatwad/public-krni-pdi-with-two-additional-models", "kernel_id": "40415903"}, {"ref": "beatwad/public-krni-pdi-781902", "kernel_id": "40362195"}, {"ref": "beatwad/tabpfn-sol", "kernel_id": "40320074"}, {"ref": "mfattah/complete-view-of-outlier", "kernel_id": "40095694"}, {"ref": "mfattah/deep-exploratory-data-analysis", "kernel_id": "40781720"}, {"ref": "hinepo/icr-1-01", "kernel_id": "40895952"}, {"ref": "yasso1/public-0-22-private-0-35", "kernel_id": "40943020"}, {"ref": "ciropaiva/baseline-model-using-simple-eda-and-pycaret", "kernel_id": "40088621"}, {"ref": "moneebarifbbs/icr-age-releated-by-ensemble", "kernel_id": "40929232"}, {"ref": "drbilal216/drbilal216icr", "kernel_id": "40765345"}, {"ref": "korbenwong/baseline-eda", "kernel_id": "40026707"}, {"ref": "korbenwong/greeks-eda", "kernel_id": "40027008"}, {"ref": "junyang680/icr-lightgbmbaseline", "kernel_id": "40600361"}, {"ref": "shivatejahitam/identifying-age-related-conditions", "kernel_id": "40781103"}, {"ref": "clearwaterkzk/beginner-icr-eda-in-a-few-code-ydata-profiling", "kernel_id": "40288198"}, {"ref": "robertturro/icr-feature-visuals", "kernel_id": "40136701"}, {"ref": "robertturro/optuna-with-rf-xgboost", "kernel_id": "40405481"}, {"ref": "nivedithavudayagiri/icr-problem-analysis-eda-baseline", "kernel_id": "40104626"}, {"ref": "nivedithavudayagiri/icr-submission", "kernel_id": "40607942"}, {"ref": "atsushiiwasaki/icr-lgbm-baseline-with-optuna-cv-0-19-lb-0-23", "kernel_id": "40943454"}, {"ref": "lonnieqin/icr-prediction-with-keras", "kernel_id": "40545077"}, {"ref": "scipygaurav/icr-improved-tabpfn-xgb-lb-0-10", "kernel_id": "40262518"}, {"ref": "dhritiverma/icr-rf-lr-tabpfn-ensemble-lb-0-20", "kernel_id": "40823049"}, {"ref": "heshamsaber/voting-gridsearch", "kernel_id": "40471438"}, {"ref": "abhisekdash37/rank-146-xgboost-logistic-regression", "kernel_id": "40498980"}, {"ref": "aisyahhrazak/icr-notebook", "kernel_id": "40714073"}, {"ref": "mayankrakesh121/age-related-condition-tsne-feature-engineering", "kernel_id": "40548068"}, {"ref": "kevinmontes/zoo-of-classification-models", "kernel_id": "40771429"}, {"ref": "barshaagrawal/icr-easy-eda-xgboost-lightgbm-w-tuning", "kernel_id": "40501081"}, {"ref": "tomaszszyrowski/icr-data-exploratory", "kernel_id": "40661786"}, {"ref": "ivanzayarsky/icr-xgboost", "kernel_id": "40212457"}, {"ref": "dushyantudawat/icr-eda-tree-xgb-catb-naiveb-ensemble", "kernel_id": "40338460"}, {"ref": "dushyantudawat/small-data-class-for-pred", "kernel_id": "40437285"}, {"ref": "bibanh/lb-0-08-7-folds-tabpfn-postprocessing", "kernel_id": "40389516"}, {"ref": "amaanvora/icr-aging-analysis-and-prediction", "kernel_id": "40136719"}, {"ref": "danielphalen/icr-mlp-model", "kernel_id": "40014042"}, {"ref": "danielphalen/icr-tabpfn-model", "kernel_id": "40207523"}, {"ref": "abhranta/permutation-testing-validation-of-learning", "kernel_id": "40068424"}, {"ref": "jaga360/icr-age-related-baseline-using-fastai", "kernel_id": "40478794"}, {"ref": "kennyrc/icr-baseline-from-oner-to-random-forests", "kernel_id": "40928060"}, {"ref": "thomasmeiner/icr-bluecast-automl-almost-bronze-ranks", "kernel_id": "40689115"}, {"ref": "thomasmeiner/icr-can-we-replace-train-with-synthethic-data", "kernel_id": "40727698"}, {"ref": "thomasmeiner/icr-probaboost-cv-0-68-lb-0-98", "kernel_id": "40116585"}, {"ref": "hiroshisakiyama/icr-80-sim-tabpfn-privatelb-0-35", "kernel_id": "40445217"}, {"ref": "arvindh22/icr-age-related-conditions", "kernel_id": "40645754"}, {"ref": "yangkenwu/ml-classification-age-related-conditions", "kernel_id": "40413920"}, {"ref": "zhukovoleksiy/icr-stacking-xgb-models", "kernel_id": "40706104"}, {"ref": "helang05/prediction-using-bagged-random-forest-in-progres", "kernel_id": "40650095"}, {"ref": "ernestbeardlypani/icr-identifying-age-related-conditions-eda", "kernel_id": "40655762"}, {"ref": "pear2jam/icr-baseline", "kernel_id": "40250374"}, {"ref": "cyclux/icr-modeling-hyper-parameter-tuning", "kernel_id": "40511055"}, {"ref": "cyclux/icr-eda-feature-engineering", "kernel_id": "40337678"}, {"ref": "taylortyler/using-lightgbm-and-catboost", "kernel_id": "40253532"}, {"ref": "bennyfung/icr-0-17-knn-smote-xgboost-lgbm", "kernel_id": "40078097"}, {"ref": "bennyfung/icr-0-28-lgbm", "kernel_id": "40231305"}, {"ref": "eslamfouad/statistics-behind-icr", "kernel_id": "40178744"}, {"ref": "gzguevara/outliers-clusters-and-brute-force-features", "kernel_id": "40296915"}, {"ref": "dominic789654/cv-0-13-lb-0-15-fixed-0-07-notebook", "kernel_id": "40415298"}, {"ref": "samundersingh/icr-identifiy", "kernel_id": "40308928"}, {"ref": "sirtimio/bronze-solution-0-4-lb", "kernel_id": "40737155"}, {"ref": "youneseloiarm/icr-lb-0-06", "kernel_id": "40512766"}, {"ref": "manav473/notebook56788c5ed2", "kernel_id": "40831230"}, {"ref": "opamusora/changed-threshold", "kernel_id": "40493433"}, {"ref": "opamusora/optimized-0-06", "kernel_id": "40828965"}, {"ref": "opamusora/top-2-private-solution", "kernel_id": "40684325"}, {"ref": "rizkykiky/first-attempt-of-meta", "kernel_id": "40611052"}, {"ref": "rizkykiky/baseline-icr", "kernel_id": "40490596"}, {"ref": "lukasschaub/icr-final-prediction", "kernel_id": "40510430"}, {"ref": "seydougoro/agerelatedconditionidentification", "kernel_id": "40903663"}, {"ref": "maverickss26/lb-0-06-icr", "kernel_id": "40472316"}, {"ref": "maverickss26/icr-improved-lb-0-10", "kernel_id": "40284473"}, {"ref": "thetrueobserver/identifying-age-related-conditions-eda-chapter-2", "kernel_id": "40548554"}, {"ref": "thetrueobserver/identifying-age-related-conditions-eda-chapter-1", "kernel_id": "40014410"}, {"ref": "michaeltuan1688/notebook390b10f025", "kernel_id": "40304240"}, {"ref": "zyh123454321/icr-tabpfn-xgboost", "kernel_id": "40140657"}, {"ref": "younghu19980807/lucky-team-16", "kernel_id": "40069005"}, {"ref": "meisa0/feature-selection-by-using-null-importance", "kernel_id": "40112483"}, {"ref": "act18l/smac-hyperparameter-tuning", "kernel_id": "40451313"}, {"ref": "johnycoder/icr-inference", "kernel_id": "40679949"}, {"ref": "ravi20076/icr-bestpublicscore-metriccorrected", "kernel_id": "40871413"}, {"ref": "shengxiongbenliu/notebook213fd9ab9a", "kernel_id": "40041150"}, {"ref": "acchiko/eda-of-icr-dataset-en", "kernel_id": "40899660"}, {"ref": "shiyuandong/icr-neural-network", "kernel_id": "40933412"}, {"ref": "zzoo2200/lgb-baseline", "kernel_id": "40746716"}, {"ref": "ilyaelper/svm-rf-knn-ensemble", "kernel_id": "40464083"}, {"ref": "muhriddinmalik/icr-identify-age-related-condition", "kernel_id": "40836662"}, {"ref": "ahsh37/identifying-age-related-conditions", "kernel_id": "40551501"}, {"ref": "timofeyefimov/framework-for-model-optimization", "kernel_id": "40371649"}, {"ref": "eduar2flores/icr-identifying-age-related-conditions", "kernel_id": "40670415"}, {"ref": "carlosgaravatti/icr-top9", "kernel_id": "40829368"}, {"ref": "nikhilrasineni/baseline-xgboost", "kernel_id": "40600256"}, {"ref": "tsuyoshifujii/icr-eda-and-baseline", "kernel_id": "40559679"}, {"ref": "tsuyoshifujii/ensemble-baseline", "kernel_id": "40716320"}, {"ref": "romanleo2003/postprocessing-ensemble", "kernel_id": "40695236"}, {"ref": "maximilianogalindo/icr-identifying-age-related-conditions", "kernel_id": "40553207"}, {"ref": "rutvik552k/icr-identify-age-related-conditions", "kernel_id": "40578583"}, {"ref": "mcnuggetset/simple-tabpfn-approach-for-score-of-15-in-1-min", "kernel_id": "40397875"}, {"ref": "ludwigsaux/test-icr-identifying-age-related-conditions", "kernel_id": "40327687"}, {"ref": "jominjae/icr-lr-dt-rf-lgbm-with-knn-smote", "kernel_id": "40839724"}, {"ref": "iqmansingh/icr-optuna-xgb-lgbm-rf-ensemble-eda", "kernel_id": "40396705"}, {"ref": "leehann/tpu-python-package-install-offline", "kernel_id": "40995808"}, {"ref": "sriharshaeedala/icr-age-related-conditions", "kernel_id": "40264015"}, {"ref": "siddhvr/icr-ensembling-submission", "kernel_id": "40495810"}, {"ref": "shivamsingh17072001/notebook58d4f1fde4", "kernel_id": "40098621"}, {"ref": "shivamsingh17072001/notebookdcc12221ba", "kernel_id": "40020759"}, {"ref": "josipvrdoljak/bagging-classifier", "kernel_id": "40154229"}, {"ref": "jayshrivastava/identifying-age-related-condition", "kernel_id": "40340049"}, {"ref": "muhannadmansour/icr-analysis-and-predict", "kernel_id": "40649811"}, {"ref": "seyered/eda-icr-models", "kernel_id": "40398762"}, {"ref": "swapnilchowdhury/lb-0-08-xgbc-tabpfnc-nec-24-tabpfnc-nec-64", "kernel_id": "40422324"}, {"ref": "swapnilchowdhury/beginner-hyperparamter-tuned-xgboost-lb-0-35", "kernel_id": "40278513"}, {"ref": "swapnilchowdhury/lb-0-09-ensemble-xgboost-tabpfnc", "kernel_id": "40310105"}, {"ref": "koreansim/new-baseline-0-23", "kernel_id": "40188613"}, {"ref": "mayankmehra25/notebook3592607646", "kernel_id": "40492058"}, {"ref": "mayankmehra25/icr-torch", "kernel_id": "40492338"}, {"ref": "murugesann/icr-bestpublicscore-metriccorrected-full-dataset", "kernel_id": "40904079"}, {"ref": "levdvernik/logisticregression-icr", "kernel_id": "40668325"}, {"ref": "greyisbetter/icr-wide-dataset", "kernel_id": "40870891"}, {"ref": "kelixirr/icr-identifying-age-related-conditions-end-to-end", "kernel_id": "40746929"}, {"ref": "amitmalhotra03/xgb-tabp-combined", "kernel_id": "40151818"}, {"ref": "reckylurker/personal-icr", "kernel_id": "40535736"}, {"ref": "abeheshti/intro-to-solution-1-without-greeks", "kernel_id": "40887110"}, {"ref": "letsgogo/final-0-37-code-we-made-but-not-submitted", "kernel_id": "40488886"}, {"ref": "kashishmukheja/icr-prediction-tf-randomforest", "kernel_id": "40769767"}, {"ref": "kashishmukheja/icr-prediction-initial-model", "kernel_id": "40657236"}, {"ref": "sarthakmehra03/icr-analysis-and-modelling", "kernel_id": "40595560"}, {"ref": "markdjadchenko/slightly-modified-tabpfn", "kernel_id": "40584400"}, {"ref": "incheoljoditei/fork-of-for-beginner-svc-rf-lr-xgbwith-auto", "kernel_id": "40353607"}, {"ref": "incheoljoditei/svm-rf-xgb-tabpfn-kfold-ensemble", "kernel_id": "40470149"}, {"ref": "incheoljoditei/icr-pjt", "kernel_id": "40001854"}, {"ref": "diegosilvadefrana/6rd-position-icr-identifying-age-related", "kernel_id": "40774091"}, {"ref": "nathankrasno/nkrasno-icr-eda-notebook", "kernel_id": "40026474"}, {"ref": "alexthomas12345/notebook65126ebb5a", "kernel_id": "40182876"}, {"ref": "pranit0007/notebook381ee8c9c4", "kernel_id": "40305621"}, {"ref": "akshayraghuramshetty/agerelatedailments", "kernel_id": "40491402"}, {"ref": "rahulj0shi/auxiliary-learning-method-for-icr", "kernel_id": "40548049"}, {"ref": "ohagwucollinspatrick/identifying-age-related-conditions-w-tfdf", "kernel_id": "40772200"}, {"ref": "ahmadalqawasmeh/icr-93-accuracy", "kernel_id": "40845268"}, {"ref": "pixelshooter/icr-identifying-age-related-conditions", "kernel_id": "40578110"}, {"ref": "gaganbajwaa/icr-gagan", "kernel_id": "40056770"}, {"ref": "kingogamer/icr-xgboost-algorithm", "kernel_id": "40250887"}, {"ref": "byungeunhwang/eda-icr-identifying-age-related-conditions", "kernel_id": "40995397"}, {"ref": "byungeunhwang/added-comments-to-the-highest-scoring-public-codes", "kernel_id": "40539100"}, {"ref": "mridul2003/icr-identify-age", "kernel_id": "40530355"}, {"ref": "yeemeitsang/age-related-conditions-xgboost", "kernel_id": "40464441"}, {"ref": "yeemeitsang/age-related-conditions-ensemble", "kernel_id": "40502118"}, {"ref": "seojinpark2001/icr-iarc-greeks-prediction", "kernel_id": "40695310"}, {"ref": "junbai2022/the-interesting-things-about-beta-in-greeks", "kernel_id": "40786862"}, {"ref": "glipko/class-imbalance-approaches-comparison", "kernel_id": "40987685"}, {"ref": "ungsikkim/2023-06-23-icr", "kernel_id": "40318836"}, {"ref": "pasindusandakan/icr-data-visualization", "kernel_id": "40528906"}, {"ref": "indranujbanerjee/age-related-conditions", "kernel_id": "40869679"}, {"ref": "moisesmgft/csi22", "kernel_id": "40856814"}, {"ref": "qianruihe626/icr-light-gbm", "kernel_id": "40296701"}, {"ref": "alarchemn/the-importance-of-prob-calibration-cv-and-metrics", "kernel_id": "40067471"}, {"ref": "marcinkamil84/icr-final-notebook", "kernel_id": "40771145"}, {"ref": "naveenkumar20bps1137/icr-tensorflow-decision-forest", "kernel_id": "40871061"}, {"ref": "ashishjagdishsharma/icr-identifying-age-related-conditions", "kernel_id": "40825995"}, {"ref": "kaggleprollc/icr-usingrf", "kernel_id": "40732307"}, {"ref": "loclegroux/icr-robust-framework-for-multilabel-validation", "kernel_id": "40362446"}, {"ref": "eishkaran/ensembling", "kernel_id": "40937391"}, {"ref": "yapwh1208/icr-competition-simple", "kernel_id": "40418155"}, {"ref": "yapwh1208/icr-torch", "kernel_id": "40425896"}, {"ref": "dhevmugunddhana333/icr-xgboost", "kernel_id": "40944651"}, {"ref": "hsuweiho/notebook1e9f23de89", "kernel_id": "40551926"}, {"ref": "pablo94/xgb-public-score-0-15", "kernel_id": "40421241"}, {"ref": "andrewkilo/icr-identifying-age-related-conditions", "kernel_id": "40507940"}, {"ref": "yasithakavishka/logistic-regression2", "kernel_id": "40702917"}, {"ref": "cg24hr/age-related-conditions-kagglecompetition13-7-66", "kernel_id": "40962719"}, {"ref": "neutrino404/icr-ensemble-random-search-public", "kernel_id": "40525474"}, {"ref": "natayakusheva/identify-it-analysis-and-forecasting", "kernel_id": "40176178"}, {"ref": "ejjjjjjjj/identifying-age-related-conditions-w-tfdf-a", "kernel_id": "40564181"}, {"ref": "ejjjjjjjj/postprocessin-ensemble", "kernel_id": "40885568"}, {"ref": "ohocamoe/catboost-best", "kernel_id": "40478412"}, {"ref": "paollafd/equipe-atf-1-data-cleaning", "kernel_id": "40093567"}, {"ref": "javes1111/invitro-cell-research", "kernel_id": "40346608"}, {"ref": "utkarshx27/icr-eda-and-xgbclassifier", "kernel_id": "40145250"}, {"ref": "ryou0517/notebook01ae9717bc", "kernel_id": "40572778"}, {"ref": "drsamkano/notebookaf7d8c7c3e", "kernel_id": "40937754"}, {"ref": "almaheekhan/notebookb7387bf413", "kernel_id": "40646371"}, {"ref": "almaheekhan/notebookabf55166d8", "kernel_id": "40639151"}, {"ref": "tlanko/notebookf11b55bd5f", "kernel_id": "40319986"}, {"ref": "junhanzangai/lb-0-69-simple-transformer", "kernel_id": "40789072"}, {"ref": "siliva1799/notebook1618430ef2", "kernel_id": "40380056"}, {"ref": "cody11null/icr-exploratory-data-analysis", "kernel_id": "40217392"}, {"ref": "cody11null/predicting-hard-cases", "kernel_id": "40801633"}, {"ref": "ngnmwt/identifying-age-related-conditions-w-tfdf", "kernel_id": "40719883"}, {"ref": "pranavatote/downsampling-icr", "kernel_id": "40310127"}, {"ref": "pranavatote/kfold-icr", "kernel_id": "40615224"}, {"ref": "aerofreak/fas-fas-submit-krna-hai", "kernel_id": "40500577"}, {"ref": "huthayfahodeb/icr-auto", "kernel_id": "40369712"}, {"ref": "taegeunpark/icr-rf-lr-xgb-ipynb", "kernel_id": "40232697"}, {"ref": "bibhumohapatra18/icr-identifying-age-related-conditions", "kernel_id": "40605549"}, {"ref": "manabiulina/tabpfn-postprocessing", "kernel_id": "40227524"}, {"ref": "gorgonadam/notebooke87e88ae7d", "kernel_id": "40541073"}, {"ref": "slaviamilinkovi/icr-randomforest", "kernel_id": "40790201"}, {"ref": "moritzm00/icr-xgb-lgbm-pipeline-hyperparameter-tuning", "kernel_id": "40166502"}, {"ref": "kirtanmatalia26/identifying-age-related-conditions-using-xgboost", "kernel_id": "40100800"}, {"ref": "vinodkumargurjar/ai-ml-icr-identifying-age-related-conditions-vinod", "kernel_id": "40529657"}, {"ref": "nemanjagojkovic/using-advanced-feature-engineering-with-featurewiz", "kernel_id": "40969645"}, {"ref": "thatmathmajor/pipeline-draft", "kernel_id": "40429132"}, {"ref": "apoorvg1709/lgbm-bagging-lr-bagging-knn", "kernel_id": "40702400"}, {"ref": "horon12345/icr-2023-05-08", "kernel_id": "40360230"}, {"ref": "horon12345/icr-brute-force", "kernel_id": "40818211"}, {"ref": "horon12345/icr-feature-selection", "kernel_id": "40834125"}, {"ref": "horon12345/icr-modeling", "kernel_id": "40745418"}, {"ref": "vcode1509/tune-hyperparameters-optuna", "kernel_id": "40351617"}, {"ref": "kangtori/beginner-base-code-rf-xgb-svc-tabpfn", "kernel_id": "40283601"}, {"ref": "zhuo0710/icr-identifying-age-related-conditions-lgbm", "kernel_id": "40124757"}, {"ref": "merveoztiryaki/identifying-age-related-conditions-tr", "kernel_id": "40666812"}, {"ref": "markus427/agerelatedconditions", "kernel_id": "40663265"}, {"ref": "abdelkaderdebbaghi/two-steps-prediction", "kernel_id": "40623945"}, {"ref": "dukgiim/for-beginner-automl-xgb-rf-lr-svm", "kernel_id": "40038276"}, {"ref": "jasonheesanglee/updated-beginner-eda-on-greeks", "kernel_id": "40360510"}, {"ref": "jinyrdream/1st-draft", "kernel_id": "40043396"}, {"ref": "hd00000/singlelgb-lb0-16-with-analysis-135155", "kernel_id": "40147948"}, {"ref": "hd00000/tabfpn-xgb-oversampling-cv-0-18-lb-0-16", "kernel_id": "40375122"}, {"ref": "vidu2004/icrcompetition", "kernel_id": "40109277"}, {"ref": "hwhuynguyen/icr-base-line", "kernel_id": "40536041"}, {"ref": "seungjunlim/95th-solution", "kernel_id": "40144253"}, {"ref": "shashanknecrothapa/classification-with-neural-network", "kernel_id": "40062954"}, {"ref": "shashanknecrothapa/hyperparameter-tuning-prevent-overfitting", "kernel_id": "40239509"}, {"ref": "dmitriygakh/nanononization-of-limits", "kernel_id": "40493595"}, {"ref": "samuelpark97/svm-rf-xgb-kfold-ensemble", "kernel_id": "40358271"}, {"ref": "samuelpark97/fork-of-for-beginner-svc-rf-lr-xgbwith-auto", "kernel_id": "40002838"}, {"ref": "isurukabamullagedon/predict-age-related-conditions-using-a-randomfores", "kernel_id": "40770842"}, {"ref": "quantyrainc/icr-notebook-exploratory-analysis-only", "kernel_id": "40034673"}, {"ref": "dminchev1/notebookd3c62ff6af", "kernel_id": "40762171"}, {"ref": "ggdelhi/icr-data-visualisation", "kernel_id": "40321143"}, {"ref": "choshark/practice-4", "kernel_id": "40178735"}, {"ref": "jasmineychan/knn-feature", "kernel_id": "40761150"}, {"ref": "irfansheikh01/icr-machine-learning", "kernel_id": "40630279"}, {"ref": "itsukioda/notebookbb17679a9b", "kernel_id": "40899497"}, {"ref": "hrishikeshkarande483/beginner-s-ml-notebook", "kernel_id": "40927809"}, {"ref": "hrishikeshkarande483/icr-1-0", "kernel_id": "40813457"}, {"ref": "amanmishra0210/notebookb4d2667e94", "kernel_id": "40284530"}, {"ref": "kimihokameya/notebooka90e90ea69", "kernel_id": "40095246"}, {"ref": "rafael450/notebooke23fb1cd5b", "kernel_id": "40856174"}, {"ref": "yukimiyabe/icr-xg-cb-lg-tfdf-fa", "kernel_id": "40796299"}, {"ref": "juzykaggle/nn-sequential-optimization", "kernel_id": "40940491"}, {"ref": "juzykaggle/icr-catboost-with-preprediction-gamma", "kernel_id": "40728062"}, {"ref": "wandong88/ronghe-v2", "kernel_id": "40042653"}, {"ref": "diyorarti/predict-age-related-conditions", "kernel_id": "40683873"}, {"ref": "hhoinjung/pu-learning", "kernel_id": "40857321"}, {"ref": "q2w1e4r3/maddpg-show", "kernel_id": "40221336"}, {"ref": "haruxe/notebook8ed0ab1527", "kernel_id": "40528418"}, {"ref": "riteshkumar765/identifying-age-related-conditions-w-tfdf", "kernel_id": "40606738"}, {"ref": "alexanderheyuan/notebook709e0762fe", "kernel_id": "40839477"}, {"ref": "cpmpml/random-lb", "kernel_id": "41983429"}, {"ref": "ajaysadhu/feeding-wrong-predictions-to-training-data", "kernel_id": "41145172"}, {"ref": "bytestorm/simple-tabpfn", "kernel_id": "41153183"}, {"ref": "bytestorm/quantize-then-tabpfn", "kernel_id": "41581979"}, {"ref": "eivolkova/simple-logistic-regression", "kernel_id": "41984746"}, {"ref": "tilii7/data-splitting", "kernel_id": "41743107"}, {"ref": "ivanisaev/mul-sft", "kernel_id": "41171291"}, {"ref": "chris36/icr-analysis-python", "kernel_id": "41221445"}, {"ref": "narareddy/icr-feature-scaling-reduction-lr", "kernel_id": "41009703"}, {"ref": "stajdi/catboost-w-custom-balancedloglossobjective-0-18", "kernel_id": "41746695"}, {"ref": "ivanbelov/irc-notebook", "kernel_id": "41571697"}, {"ref": "hoangnguyen719/icr-fe-fs-xgb-v1", "kernel_id": "41089174"}, {"ref": "hoangnguyen719/icr-train-xgb-d1-param-search", "kernel_id": "41103798"}, {"ref": "hoangnguyen719/icr-train-xgb-v9", "kernel_id": "41146262"}, {"ref": "hoangnguyen719/icr-train-lgbm-d4-fs0-v0", "kernel_id": "41966800"}, {"ref": "hoangnguyen719/icr-train-lr-d4-fs0-v0", "kernel_id": "41953302"}, {"ref": "hoangnguyen719/icr-ps-lgbm-d4-fs0-v0", "kernel_id": "41957337"}, {"ref": "hoangnguyen719/icr-fe-v4", "kernel_id": "41950166"}, {"ref": "hoangnguyen719/icr-fs-d4-lgbm-v0", "kernel_id": "41950572"}, {"ref": "hoangnguyen719/icr-iv-woe-v5", "kernel_id": "41951685"}, {"ref": "hoangnguyen719/icr-fs-d4-iv-woe5", "kernel_id": "41952081"}, {"ref": "hoangnguyen719/icr-ps-lr-d4-fs-ivwoe0", "kernel_id": "41952294"}, {"ref": "hoangnguyen719/icr-infer-stack-d4-v0", "kernel_id": "41969752"}, {"ref": "hoangnguyen719/icr-ps-lr-d3-fs-ivwoe1-v0", "kernel_id": "41922095"}, {"ref": "hoangnguyen719/icr-fs-d3-iv-woe-v1", "kernel_id": "41919457"}, {"ref": "hoangnguyen719/icr-train-lr-d3-fs1-v0", "kernel_id": "41926076"}, {"ref": "hoangnguyen719/icr-infer-stack-d3-v1", "kernel_id": "41926343"}, {"ref": "hoangnguyen719/icr-infer-lgbm-d3-fs1-train0", "kernel_id": "41833039"}, {"ref": "hoangnguyen719/icr-train-lgbm-d3-fs1-v0", "kernel_id": "41831414"}, {"ref": "hoangnguyen719/icr-ps-lgbm-d3-fs1-v0", "kernel_id": "41805058"}, {"ref": "hoangnguyen719/icr-fe-v3", "kernel_id": "41686757"}, {"ref": "hoangnguyen719/icr-fs-d3-lgbm-v1", "kernel_id": "41789987"}, {"ref": "asimandia/icr-identify-age", "kernel_id": "41110083"}, {"ref": "asimandia/all-zeros-sub", "kernel_id": "41006836"}, {"ref": "kcwong5/icr-pruner-for-lightgbm", "kernel_id": "41095720"}, {"ref": "nnjjpp/icr-silver-medal-98th-place-top-2", "kernel_id": "41982736"}, {"ref": "abinsingh/significant-variables-using-visual-analytics", "kernel_id": "41504394"}, {"ref": "whiskeyyankee/notebook06df57f4df", "kernel_id": "41445905"}, {"ref": "dan3dewey/icr-2023-a-versus-b", "kernel_id": "41389957"}, {"ref": "dan3dewey/single-cell-with-ej-a-b-dots", "kernel_id": "41595453"}, {"ref": "pscse16/notebook341b8b9170", "kernel_id": "41721300"}, {"ref": "leosv100/alpha-lgbm-0-4-private-lb", "kernel_id": "41350246"}, {"ref": "fivcan2/public-krni-pdi-with-two-additional-models", "kernel_id": "41141396"}, {"ref": "vinitkp/age-condition", "kernel_id": "41068385"}, {"ref": "jakelj/icr-ensemble", "kernel_id": "41817569"}, {"ref": "kononenko/icr-lb-scores-by-number-of-teams", "kernel_id": "41376866"}, {"ref": "akashbhad/detailed-eda-on-training-and-supplemental-metadata", "kernel_id": "41062006"}, {"ref": "almeid4/icr-random-forest-with-smote", "kernel_id": "41096110"}, {"ref": "maliekecurtis/icr-eda", "kernel_id": "41328929"}, {"ref": "retroflake/elementary-eda", "kernel_id": "41153528"}, {"ref": "erijoel/icr-solution", "kernel_id": "41296016"}, {"ref": "nyeongmin/public-krni-pdi-2xgb-2tabpfn", "kernel_id": "41140496"}, {"ref": "owerbat/catboost-baseline-silver-medal-top-4", "kernel_id": "41129169"}, {"ref": "prasadmujumdar19/notebooke0a4eec56d", "kernel_id": "41553149"}, {"ref": "dbzadnen/icr-using-darts-regression-and-svmsmote", "kernel_id": "41239414"}, {"ref": "beatwad/lb-probe-example", "kernel_id": "41507305"}, {"ref": "deborshi18/catboost-solution-public-0-25-private-0-43", "kernel_id": "41666878"}, {"ref": "dorianglon/icr-notebook", "kernel_id": "41107402"}, {"ref": "manish123kaggle/icr-age-detection", "kernel_id": "41645370"}, {"ref": "sho124/icr-with-lightgbm-crossvalidation", "kernel_id": "41555173"}, {"ref": "sho124/icr-with-xgboost-cv", "kernel_id": "41652137"}, {"ref": "wamukoya/icr-identifying-age-related-conditions", "kernel_id": "41697370"}, {"ref": "nikhilmunakhiya/icr-logistic-regression-0-62", "kernel_id": "41621462"}, {"ref": "hideyukizushi/icr-train-inf-featurewiz-lgb-xgb-tabpfn", "kernel_id": "41970348"}, {"ref": "taruto1215/icr-chatgpt-code-interpreter-xgboost-lb0-4", "kernel_id": "41231155"}, {"ref": "taruto1215/chatgpt-code-interpreter-blending-lb0-31", "kernel_id": "41661147"}, {"ref": "taruto1215/icr-256th-xgb-lgb-cb-and-ad", "kernel_id": "41628462"}, {"ref": "foadgreen/icr-sandwich", "kernel_id": "41012062"}, {"ref": "carlmcbrideellis/icr-tabpfn-minimalist-submission", "kernel_id": "41991665"}, {"ref": "ajayjds/final", "kernel_id": "41572347"}, {"ref": "axlebucamp/randomforestandsamplebalance", "kernel_id": "41652045"}, {"ref": "tauilabdelilah/optimized-lgb-public-0-19-private-0-36", "kernel_id": "41984603"}, {"ref": "clearwaterkzk/lb0-38-icr-load-tuned-lgbm-with-xfeat", "kernel_id": "41922178"}, {"ref": "farzonaeraj/icr-ensemble-modeling-catboost-xgb-rf-optuna", "kernel_id": "41619863"}, {"ref": "pranaliyangandul/icr-xgb-randomizedsearchcv-with-pipeline", "kernel_id": "41147904"}, {"ref": "errornull/icr-xgb-tabpfn-2kf", "kernel_id": "41392259"}, {"ref": "egorphysics/pytorch-optuna-baseline", "kernel_id": "41296510"}, {"ref": "arnavmodi/random-forest-w-tuning-based-on-f1-icr", "kernel_id": "41650387"}, {"ref": "alireza151/gaussian", "kernel_id": "41119904"}, {"ref": "victorcoimbraa/notebook", "kernel_id": "41101159"}, {"ref": "ilyesbouchelkia/identifying-age-related-conditions-best-model", "kernel_id": "41369990"}, {"ref": "poushalimukherjee/icr-randomforest", "kernel_id": "41996310"}, {"ref": "miodragb/kruhtemazo-1st-sub-ever", "kernel_id": "41904761"}, {"ref": "kopkritsaikhiao/identifying-age-related-conditions-clean-data", "kernel_id": "41732765"}, {"ref": "vladshatrovsky/identifying-age-related-conditions-with-pytorch", "kernel_id": "41530621"}, {"ref": "hendriknebel/pub-0-29-priv-0-48-kernel-for-icr-glmnet-xgbm", "kernel_id": "41372153"}, {"ref": "simonhol/icr-comp-final", "kernel_id": "41444429"}, {"ref": "alexklyu/lb-probe-example-1dbda2", "kernel_id": "41637273"}, {"ref": "alexklyu/lb-probe-example", "kernel_id": "41541729"}, {"ref": "bushraymond/ensembleddt", "kernel_id": "41201343"}, {"ref": "chensilin/icr-eda-lightgbm-xgboost-optuna-lb-0-21", "kernel_id": "41139923"}, {"ref": "mirabirhossain/icr-missing-value-eda-feature-selection-etc", "kernel_id": "41555018"}, {"ref": "andreytikhomirov/icr-leaveoneout-cv", "kernel_id": "41275029"}, {"ref": "toichirohanaoka/notebookd8a6303951", "kernel_id": "41191134"}, {"ref": "lorenzoarcioni/icr-analysis-and-models-lorenzo-arcioni", "kernel_id": "41295211"}, {"ref": "danilosantosvieira/startmodelchallenge", "kernel_id": "41565379"}, {"ref": "chimaokoronkwo/icr-competition-feature-eng-the-devil-in-greek", "kernel_id": "41471966"}, {"ref": "charliezimmerman/compare-multiple-balancing-validation-strategies", "kernel_id": "41543647"}, {"ref": "romanderunets/0-36-private-0-16-public-tabpfn-lgbm-xgb", "kernel_id": "41333114"}, {"ref": "mohammad2012191/stacking-3rd-stage-sep-ej", "kernel_id": "41984024"}, {"ref": "mohammad2012191/public-0-11-stacking", "kernel_id": "41984059"}, {"ref": "enisezengin/identifying-age-related-conditions", "kernel_id": "41457979"}, {"ref": "dmtrrr/ensemble-xgboost-only-0-2-lb", "kernel_id": "41331512"}, {"ref": "shaharyarsajid/top-6-percent-xgboost-with-optuna-optimization", "kernel_id": "41826510"}, {"ref": "saharkhazali/age-cmp", "kernel_id": "41565673"}, {"ref": "omarkhaled002/icr-data-eda-modelling", "kernel_id": "41921446"}, {"ref": "aarushi211/xgbclassifier-with-cv", "kernel_id": "41383997"}, {"ref": "tiffanykuang/fork-of-baseline-submission-logisticregression", "kernel_id": "41709315"}, {"ref": "takumuwakamatsu/icr-wakama1994", "kernel_id": "41359231"}, {"ref": "act18l/cnn-deepinsight-baseline", "kernel_id": "41112237"}, {"ref": "solangiizhar/icr-competition-with-lr-rf-and-xgb", "kernel_id": "41723482"}, {"ref": "cemduru/eda-and-simple-lgbmclassifier-base", "kernel_id": "41299749"}, {"ref": "swathiunnikrishnan/age-related-conditions-regression-accuracy-99", "kernel_id": "41621033"}, {"ref": "markusdarkus/icr-age-related-conditions-eda-modelling", "kernel_id": "41325546"}, {"ref": "dshaoyuwang/icr-rf-01", "kernel_id": "41558610"}, {"ref": "nathenwang/lgbm-and-data-augment", "kernel_id": "41585653"}, {"ref": "zzoo2200/lgb-baseline-41e760", "kernel_id": "41177919"}, {"ref": "zzoo2200/lgb-baseline-with-all-two-models", "kernel_id": "41504039"}, {"ref": "xiaohu2200/lgb-baseline-41e760", "kernel_id": "41226724"}, {"ref": "xiaohu2200/stacking-baseline-with-mean", "kernel_id": "41261222"}, {"ref": "smarkbhb/icr-submit", "kernel_id": "41118007"}, {"ref": "rajatraj0502/icr-identifying-age-related-conditions", "kernel_id": "41239043"}, {"ref": "nazarkohut/ml-nn-notebook", "kernel_id": "41764778"}, {"ref": "ganeshborkar31/icr-identifying-age-related-condition", "kernel_id": "41663526"}, {"ref": "eeecee/icr-identify-age-related-conditions-lgbm", "kernel_id": "41553361"}, {"ref": "kaggleqrdl/postprocessin-ensemble", "kernel_id": "41457365"}, {"ref": "kaggleqrdl/lb-probe-example", "kernel_id": "41609899"}, {"ref": "likhithadurusoju/icr-age-related-cont", "kernel_id": "41362679"}, {"ref": "shengxin/notebookd1f82bf363", "kernel_id": "41193406"}, {"ref": "suraj520/soft-voting-strat-k-fold-optuna-rf-lgbm-xgb", "kernel_id": "41608345"}, {"ref": "leehann/automl-icr", "kernel_id": "41119986"}, {"ref": "siddhvr/xgb-tabpfn-improved", "kernel_id": "41009896"}, {"ref": "anotherbadcode/icr-ensemble", "kernel_id": "41208262"}, {"ref": "harshit804/icr-random-forest-classification", "kernel_id": "41904313"}, {"ref": "sodiqsulaimon/icr-comp-identifying-age-related-condition", "kernel_id": "41778524"}, {"ref": "amirkameel/classify-with-5-diffirent-algorithms", "kernel_id": "41472567"}, {"ref": "maximecapelle/ensemble-xgboost-tabpfn-with-normalization", "kernel_id": "41297663"}, {"ref": "maximecapelle/ensemble-xgboost-tabpfn-without-normalization", "kernel_id": "41282769"}, {"ref": "clarkelee/my-icr-comp-note-book", "kernel_id": "41422579"}, {"ref": "jabeva99/teci-diagnostico", "kernel_id": "41387902"}, {"ref": "risakashiwabara/eda-sklearn-heatmap", "kernel_id": "41757163"}, {"ref": "zuhairhasanshaik/icr-n2", "kernel_id": "41221604"}, {"ref": "murugesann/fork-of-icr-bestpublicscore-gives-0-36-score", "kernel_id": "41051193"}, {"ref": "pkpdf1994/icr-18-07-2023", "kernel_id": "41198446"}, {"ref": "vladimirkuzin/icr-identify", "kernel_id": "41003985"}, {"ref": "sauravmishraa/eda-and-data-cleaning", "kernel_id": "41067459"}, {"ref": "abhinavmangalore/icr-tabpfn-and-xgboost-ensemble", "kernel_id": "41552017"}, {"ref": "rupeshmahanty/icr-dataset", "kernel_id": "41881945"}, {"ref": "adityasonavane/icr-competition", "kernel_id": "41095989"}, {"ref": "asjad2024/iclr-health-hack", "kernel_id": "41329407"}, {"ref": "samuelkabati1/identifying-age-related-conditions", "kernel_id": "41936498"}, {"ref": "debojitbasak02/icr-identifying-age-related-conditions", "kernel_id": "41337995"}, {"ref": "sotamiki/icr-submission", "kernel_id": "41953423"}, {"ref": "kalvinlt/icr-logical-method-to-reach-lb-0-16", "kernel_id": "41966779"}, {"ref": "bencefogel/icr01", "kernel_id": "41243872"}, {"ref": "cybersimar08/icr-xgb-adaboost-lgbm", "kernel_id": "41587247"}, {"ref": "amirthavarshiniv/eda-stats-modeling-icr", "kernel_id": "41719230"}, {"ref": "hossamahmedsalah/icr-eda", "kernel_id": "41308438"}, {"ref": "hossamahmedsalah/icr-preprocessing-the-data", "kernel_id": "41357882"}, {"ref": "ohagwucollinspatrick/identifying-age-related-conditions-w-tfdf-2", "kernel_id": "41709870"}, {"ref": "chiachiiliang/icr2023-cdf-based-weighted-ensemble", "kernel_id": "41076901"}, {"ref": "mrgarlicshrimp/icr-simple-lightgbm-private-lb-0-4", "kernel_id": "41665221"}, {"ref": "jcornels/identifying-age-related-conditions", "kernel_id": "41233226"}, {"ref": "ashx010/icr-age-condition-identification", "kernel_id": "41830900"}, {"ref": "jovanchua/159th-ranked-bagging-voting-classifier-lb-0-39", "kernel_id": "41520465"}, {"ref": "byungeunhwang/rapids-cuml-svc-baseline-with-comments-added", "kernel_id": "41196674"}, {"ref": "stefanouccelli/identifying-age-related-conditions-using-ensambles", "kernel_id": "41141086"}, {"ref": "glipko/cv-schemes-comparison", "kernel_id": "41148561"}, {"ref": "glipko/interesting-correlation-pattern", "kernel_id": "41488768"}, {"ref": "glipko/5-logistic-regression", "kernel_id": "41292333"}, {"ref": "glipko/6-optuna-lr", "kernel_id": "41375270"}, {"ref": "aliliaymenabderraouf/notebook-icr", "kernel_id": "41541213"}, {"ref": "jefflin97/icr-identify-age-related-conditions-competition", "kernel_id": "41546468"}, {"ref": "miguelsaraiva82/icr-logistic-regression", "kernel_id": "41707563"}, {"ref": "awesomeharris/feature-selection-using-rfecv", "kernel_id": "41338268"}, {"ref": "hder03/identify-age-related-condition", "kernel_id": "41225253"}, {"ref": "moisesmgft/ensemble-lr-tabpfn-xgboost-rfclas", "kernel_id": "41014878"}, {"ref": "moisesmgft/csi22-icr-decision-forests", "kernel_id": "41000742"}, {"ref": "prasad970/icr-notebook", "kernel_id": "41658066"}, {"ref": "mahakalbhakt/notebookd11601f7dc", "kernel_id": "41411900"}, {"ref": "yashchavn/icr-using-autoencoder", "kernel_id": "41623158"}, {"ref": "brahimmohamed/icr-convolution", "kernel_id": "41608588"}, {"ref": "kdsharma/rapids-cuml-svc-baseline-lb-cv-0-35", "kernel_id": "41185854"}, {"ref": "dannylin714/optimized-0-06-f5f34f", "kernel_id": "41688387"}, {"ref": "donottalk/complete-research-for-icr", "kernel_id": "41152259"}, {"ref": "riyawagh1894/icr-notebook", "kernel_id": "41581928"}, {"ref": "vitaliyzaytsev/icr-iacr-2023-eda-distributions-fi", "kernel_id": "41092827"}, {"ref": "vitaliyzaytsev/icr-iacr-2023-weightedensemble-lb-0-19", "kernel_id": "41155655"}, {"ref": "kacperrabczewski/age-related-conditions", "kernel_id": "41605057"}, {"ref": "farshidhossain68/icr-with-ml-models-and-xgboost", "kernel_id": "41383001"}, {"ref": "pentakrishnakishore/ncr-note3", "kernel_id": "41341026"}, {"ref": "ejjjjjjjj/eda-icr-models", "kernel_id": "41150460"}, {"ref": "mateuszk013/ml-explainability-shapley-values-shap-library", "kernel_id": "41011721"}, {"ref": "anjusukumaran4/identifying-age-related-conditions-eda-rf", "kernel_id": "41147358"}, {"ref": "fanindrasaini/icr-competition", "kernel_id": "41963068"}, {"ref": "lastdance9/bronze-submission-0-42-private-lb", "kernel_id": "41326119"}, {"ref": "cheekati1/icr-identifying-age-related-conditions", "kernel_id": "41716474"}, {"ref": "truptivenkatesh/submission-notebook", "kernel_id": "41332221"}, {"ref": "truptivenkatesh/icr-kletech", "kernel_id": "41376764"}, {"ref": "truptivenkatesh/team-2-icr", "kernel_id": "41473732"}, {"ref": "zskagcomp/xgboost-tabpfn", "kernel_id": "41374978"}, {"ref": "aydarkhisamov/iarc-gb-nn-lr-stack", "kernel_id": "41302426"}, {"ref": "polyakovstepan/model-building", "kernel_id": "41300892"}, {"ref": "dentontran/icr-submission", "kernel_id": "41736803"}, {"ref": "aerofreak/feature-reduction-undersampling-optuna-lightgbm", "kernel_id": "41087666"}, {"ref": "aerofreak/undersampling-optuna-xgb", "kernel_id": "41056936"}, {"ref": "aerofreak/underfitted-model", "kernel_id": "41010950"}, {"ref": "thomasgamet/bronzeloss-cr-age-related-conditions-predic-1aa065", "kernel_id": "41982776"}, {"ref": "antonprisyazhnyuk/notebookdd96c7279c", "kernel_id": "41671944"}, {"ref": "neoario/binary-classification-icr-competition", "kernel_id": "41227016"}, {"ref": "mrlalitmjoshi/icr-with-randomforest-and-adaboost", "kernel_id": "41043146"}, {"ref": "yeuuuf/ensemble-try", "kernel_id": "41724047"}, {"ref": "maclawson/icr-submission", "kernel_id": "41279186"}, {"ref": "horon12345/icr-ensemble", "kernel_id": "41750434"}, {"ref": "fivcam/tabfpn", "kernel_id": "41142081"}, {"ref": "alexday11/icr-with-ml-models", "kernel_id": "41492249"}, {"ref": "lipsitac/without-tabpfn-beginners-guide", "kernel_id": "41000461"}, {"ref": "samuelpark97/final0-37-code-we-made-but-not-submitted", "kernel_id": "41984398"}, {"ref": "charuperera/notebook1860de6c12", "kernel_id": "41792275"}, {"ref": "uom239340t/icr-identifying-age-related-conditions", "kernel_id": "41824779"}, {"ref": "hli111111/tabpfn-gbm-stackings", "kernel_id": "41945256"}, {"ref": "guilhermealt/icr-submission", "kernel_id": "41009529"}, {"ref": "mohammadsabirbepari/icr-msb", "kernel_id": "41321202"}, {"ref": "ibrahimayoubi/notebookdcf2109b2e", "kernel_id": "41630730"}, {"ref": "christopherkrim/notebook5dfae7e24d", "kernel_id": "41479096"}, {"ref": "christopherkrim/submission-csv", "kernel_id": "41096165"}, {"ref": "nihilisticneuralnet/icr-leaderboard-analysis", "kernel_id": "41986873"}, {"ref": "lizasareen/sklearn", "kernel_id": "41274040"}, {"ref": "trymybest20/lgb-baseline-with-b46504", "kernel_id": "41259411"}, {"ref": "trymybest20/lgb-baseline-with", "kernel_id": "41256157"}, {"ref": "trymybest20/lgb-baseline", "kernel_id": "41142913"}, {"ref": "trymybest20/lgb-baseline-with-687049", "kernel_id": "41286516"}, {"ref": "ericcwh/6-models-for-icr", "kernel_id": "41354573"}, {"ref": "allenrussell/icr-random-forest-fine-tune", "kernel_id": "41415923"}, {"ref": "sanjaygandotra/age-related-conditions", "kernel_id": "41960560"}, {"ref": "haiber/icr-competition-with-lr-rf-and-xgb", "kernel_id": "41642345"}, {"ref": "vinayaksoni704/icr-bin", "kernel_id": "41588181"}, {"ref": "wangxuwang/notebookc0c4d505de", "kernel_id": "41549639"}, {"ref": "mercurylzr/ensemble", "kernel_id": "41356581"}, {"ref": "othondaikiishiyiita/csi22-icr", "kernel_id": "41008509"}, {"ref": "romanbraunstingl/icr-iarc-mk-ii-with-lbgm", "kernel_id": "41534468"}, {"ref": "dalecap/first-pass", "kernel_id": "41044741"}, {"ref": "kusoyounderlined/icr-rf-xgb-lgbm-soft-voting-lb-0-60", "kernel_id": "41829800"}, {"ref": "jerryzheng111/icr-xgb-tabpfn-2kf", "kernel_id": "41131761"}, {"ref": "sharoncampos/lgb-baseline-with-687049", "kernel_id": "41374584"}, {"ref": "sharoncampos/lgb-baseline-with-22", "kernel_id": "41410076"}, {"ref": "donna2211/lgb-baseline-with-22-other-cv", "kernel_id": "41487054"}, {"ref": "heather20201/lgb-baseline-with-38-fixed-cv", "kernel_id": "41447674"}, {"ref": "heijui/lgb-baseline-with", "kernel_id": "41256844"}, {"ref": "heijui/lgb-baseline-with-38", "kernel_id": "41375455"}, {"ref": "heijui/xgb-22-baseline", "kernel_id": "41413193"}, {"ref": "elizabeth912/lgb-baseline-with-all-fixed", "kernel_id": "41493682"}, {"ref": "elizabeth912/lgb-baseline-with", "kernel_id": "41258554"}, {"ref": "nikki213/lgb-baseline-with-all-fix-multi-label", "kernel_id": "41493960"}, {"ref": "lisa3871/lgb-baseline-with-38-fixed", "kernel_id": "41378093"}, {"ref": "aliciajenkins/lgb-baseline-with-all", "kernel_id": "41417141"}, {"ref": "aimeecaldarone/lgb-optuna", "kernel_id": "41466030"}, {"ref": "katrinaandersond/lgb-baseline-with", "kernel_id": "41269089"}, {"ref": "gh0sthunter/missing-value-imputation", "kernel_id": "41366667"}, {"ref": "andrewj90/lb-probe-check", "kernel_id": "41564574"}, {"ref": "andrewj90/fork-of-lb-probe-example", "kernel_id": "41531031"}, {"ref": "andrewj90/lb-probe-example-0b07b0", "kernel_id": "41594219"}, {"ref": "andrewj90/lb-probe-example-f1ef66", "kernel_id": "41625368"}, {"ref": "titericz/top3-xgboost", "kernel_id": "42059962"}, {"ref": "titericz/blend-v12-extreme-bagging", "kernel_id": "42031280"}, {"ref": "titericz/xgboost-late-sub", "kernel_id": "42124020"}, {"ref": "vitalykudelya/gold-medal-top-4-8-18-lines-of-code-late-sub", "kernel_id": "42007482"}, {"ref": "something4kag/icr-split-a-b-wpca-pctiles-table2img-cnn-0-37649", "kernel_id": "42305940"}, {"ref": "eivolkova/why-catboost-performs-better-on-the-private-lb", "kernel_id": "42029507"}, {"ref": "tilii7/xgb-5fold-03-v7", "kernel_id": "42019383"}, {"ref": "tilii7/xgb-5fold-03-v5", "kernel_id": "42015302"}, {"ref": "andrejvetrov/4rd-place-solution-late-submission", "kernel_id": "42294287"}, {"ref": "lushanthan/notebook-icr-assignment-brf", "kernel_id": "42622283"}, {"ref": "rushali2406/icr-ensemble-with-optuna", "kernel_id": "42078332"}, {"ref": "cdeotte/probe-alpha-type-of-class-1-in-public-private", "kernel_id": "42188337"}, {"ref": "cdeotte/silver-medal-using-sliding-time-cv", "kernel_id": "42009946"}, {"ref": "cdeotte/use-public-lb-probing-data-lb-0-0", "kernel_id": "42038520"}, {"ref": "corrrado/icr-xgb", "kernel_id": "42194213"}, {"ref": "kononenko/cafa5-competition-statistics", "kernel_id": "42169251"}, {"ref": "ern711/icr-late-sub-0-28-private-lb", "kernel_id": "42201330"}, {"ref": "shunkikyoya/icr-private-0-40-227th-xgb-tabpfn-calibration", "kernel_id": "42000911"}, {"ref": "italosimoes/icr-identifying-age-related-lgbm", "kernel_id": "42220255"}, {"ref": "axlebucamp/identifying-age-related-conditions-w-tfdf", "kernel_id": "42348592"}, {"ref": "timetoti/icr-sample-impact-analysis", "kernel_id": "42109420"}, {"ref": "ammarahmadqazi/private-v-s-public-lb-data", "kernel_id": "42020441"}, {"ref": "lukaszsztukiewicz/bronze-medal-solution-11-cells-clean", "kernel_id": "42296442"}, {"ref": "tianxiaoli/icr-eda-xgb-lgbm-svc-public", "kernel_id": "42337902"}, {"ref": "mohammad2012191/private-0-36-ej-separation", "kernel_id": "42010760"}, {"ref": "torayeff/clean-and-simple-undersampler-for-gold-medal", "kernel_id": "42196708"}, {"ref": "torayeff/naive-undersampler", "kernel_id": "42197482"}, {"ref": "strikerens/notebook95277b2df5", "kernel_id": "42368861"}, {"ref": "abhinavsangem/notebooka8f497b3f5", "kernel_id": "42693078"}, {"ref": "kaggleqrdl/classify-train-pub", "kernel_id": "42203461"}, {"ref": "kaggleqrdl/main-notebook", "kernel_id": "42007235"}, {"ref": "sourabhsingh03993493/icr-late-submission-but-accurate-result", "kernel_id": "42411753"}, {"ref": "gimgoon/icr-single-catboost-private-0-272-late-sub", "kernel_id": "42361824"}, {"ref": "yan0022/icr-stacking-with-sklearn", "kernel_id": "42121784"}, {"ref": "saikiran7135/icr-age-identification", "kernel_id": "42354042"}, {"ref": "sinanbavli04/age-related-conditions-with-0-95-accuracy", "kernel_id": "42244655"}, {"ref": "wisawesome/icr-identity-157th-place-prelim", "kernel_id": "42004727"}, {"ref": "jano123/icr-competition-with-lr-rf-and-xgb", "kernel_id": "42025292"}, {"ref": "jano123/icr-by-symbolic-regression", "kernel_id": "42010880"}, {"ref": "ejjjjjjjj/main-notebook", "kernel_id": "42106950"}, {"ref": "saurabhhhhyyyyyy/notebookf37f83cffa", "kernel_id": "42054548"}, {"ref": "abandura/icr-inference-final", "kernel_id": "42330961"}, {"ref": "dkdllakmal/icr-identifying-age-related", "kernel_id": "42579676"}, {"ref": "jiehuatan/private-0-315-winners-approach-but-with-pytorch", "kernel_id": "42560922"}, {"ref": "jiehuatan/private-lb-0-29377-feature-selection-model-trained", "kernel_id": "42250797"}, {"ref": "andrsvercesi/icr-eda-and-modeling-silver-medal", "kernel_id": "42359958"}, {"ref": "charuperera/notebook9e3c71da0d", "kernel_id": "42347625"}, {"ref": "charuperera/notebook22495b205e", "kernel_id": "42060066"}, {"ref": "uom239344j/identifying-age-related-conditions-group-10", "kernel_id": "42649605"}, {"ref": "chickenricealwayswin/icr-eda", "kernel_id": "42675818"}, {"ref": "uomml23msc239315x/icr-uom-ml23-msc-g20", "kernel_id": "42633688"}, {"ref": "uomml23msc239374b/icr-identifying-age-related-conditions", "kernel_id": "42510616"}, {"ref": "uomml23msc239369n/uom23mlmscgrp9", "kernel_id": "42496314"}, {"ref": "uom23mlmsc229318b/icr-regression", "kernel_id": "42031537"}, {"ref": "uom23mlmsc229318b/xgboost", "kernel_id": "42574541"}, {"ref": "ironheart14/silver-medal-using-sliding-time-cv", "kernel_id": "42102587"}, {"ref": "uom23mlmsc239314t/notebook4bb27c0430", "kernel_id": "42599107"}, {"ref": "uom23mlmsc239324a/notebook561fb73211", "kernel_id": "42666253"}, {"ref": "farhanarahman82/notebook-icr-adaboost", "kernel_id": "42028576"}, {"ref": "jayesh134/age-related-condition-detection-with-random-forest", "kernel_id": "43028564"}, {"ref": "soumyadeepsadhukhan/random-forest-tfdf-with-kfold-folds-9", "kernel_id": "43679038"}, {"ref": "schwadeng/icr-with-ml-models-and-xgboost", "kernel_id": "43440302"}, {"ref": "carloslopez17/random-forest-xboost-pca-approach", "kernel_id": "43498704"}, {"ref": "eeraanjum/icr-ml-algorithms-and-performances", "kernel_id": "44748456"}, {"ref": "nikitkastr/smth-for-ndr", "kernel_id": "44784611"}, {"ref": "soumyadeepsadhukhan/fork-of-random-forest-tfdf-with-kfold-folds-9", "kernel_id": "44247230"}, {"ref": "evrendurmus/choosing-best-model-in-pipe", "kernel_id": "44764319"}, {"ref": "nikitkastr/ndr-model", "kernel_id": "45533181"}, {"ref": "volodymyrpivoshenko/ensemble-umap-tabfn-xgboost-catboost", "kernel_id": "46310944"}, {"ref": "dikshantnegi/finaled-model-2", "kernel_id": "46177153"}, {"ref": "dilshanprasantha/identifying-age-related-conditions", "kernel_id": "47700984"}, {"ref": "dmitryzhukov18/notebook5cfbe3f814", "kernel_id": "48106436"}, {"ref": "dikshantnegi/mini-project", "kernel_id": "49127973"}, {"ref": "johnycoder/icr-param-optim", "kernel_id": "50060366"}, {"ref": "medwar747/mve-icr-qda", "kernel_id": "50839482"}, {"ref": "joopedrodonasolo/predi-o-age-related-condition", "kernel_id": "51481012"}, {"ref": "volodymyrmakhotilo/top-10-votclas-xgb-lda-svm-logreg", "kernel_id": "51580385"}, {"ref": "beautybyrose/rko-icr-2-w5", "kernel_id": "53896169"}, {"ref": "beautybyrose/rko-icr-wk1", "kernel_id": "53479054"}, {"ref": "beautybyrose/rko-icr-week1-submission", "kernel_id": "53529065"}, {"ref": "beautybyrose/notebook561de7bd51", "kernel_id": "54378671"}, {"ref": "beautybyrose/week-4-submission", "kernel_id": "54379490"}, {"ref": "beautybyrose/icr-week3-submission", "kernel_id": "54313591"}, {"ref": "beautybyrose/rko-icr-wk2-friday", "kernel_id": "54085547"}, {"ref": "beautybyrose/icr-week2-submission", "kernel_id": "54092849"}, {"ref": "beautybyrose/submission-icr-week-6", "kernel_id": "54875592"}, {"ref": "beautybyrose/submission-icr-1b", "kernel_id": "54879718"}, {"ref": "beautybyrose/submission-icr-1a", "kernel_id": "54879163"}, {"ref": "yuwyuwen/grid11", "kernel_id": "54543786"}, {"ref": "yuwyuwen/identifying-age-related-conditions-w-tfdf", "kernel_id": "54504730"}, {"ref": "yuwyuwen/fork-of-grid11", "kernel_id": "54603797"}, {"ref": "yuwyuwen/test2", "kernel_id": "54242311"}, {"ref": "vinayplusj/predict-medical-conditions", "kernel_id": "55719425"}, {"ref": "zuhairhasanshaik/2nd-iitm-shaastra-techathon", "kernel_id": "55228397"}, {"ref": "beautybyrose/final-project-submission", "kernel_id": "55638005"}, {"ref": "mantasbutenas/icr-identifying-age-related-conditions", "kernel_id": "56333807"}, {"ref": "mohamedlazaar2/basic-xgbclassifier", "kernel_id": "58112930"}, {"ref": "jamessuryaputra/artful-aging", "kernel_id": "59181148"}, {"ref": "tlanko/age-related-conditions", "kernel_id": "61443931"}, {"ref": "zainabbas110/icr-identifying-age-related-conditions-dataset", "kernel_id": "61702854"}, {"ref": "xinyuanqiao/fork-of-icr-copy-ccf02d-7f245a", "kernel_id": "65575395"}, {"ref": "alexandrelemercier/all-best-tabular-classifiers-comparative-study", "kernel_id": "65430377"}, {"ref": "wangfuhe/icr-1-xgb", "kernel_id": "66316195"}, {"ref": "taramanuel/age-related-predictions-v2", "kernel_id": "66057952"}, {"ref": "vinodsb/icr-identifying-age-related-conditions", "kernel_id": "67875552"}, {"ref": "alperugurca/icr-identifying-age-related-conditions", "kernel_id": "69363613"}, {"ref": "yunsuxiaozi/icr-simple-yunbase", "kernel_id": "71684079"}, {"ref": "zygmuntyt/age-conditions-my-submission-pr-score-0-54", "kernel_id": "71990687"}, {"ref": "zyh1104/011-icr-analysis-and-predict", "kernel_id": "71220445"}, {"ref": "seven666/adv-model-training", "kernel_id": "71446181"}, {"ref": "xiaoyangyi/dnn-train", "kernel_id": "73332671"}, {"ref": "seven666/simple-tabpfn-approach-for-score-of-15-in-5a84d0", "kernel_id": "73720182"}, {"ref": "leogri/tabpfn-v2-offline-example", "kernel_id": "74404945"}, {"ref": "cmill1428/notebookicrcomp", "kernel_id": "77078699"}, {"ref": "yoonjungrho/model-selection-catboost", "kernel_id": "78609373"}, {"ref": "seokhyunseo/good-code-without-optuna", "kernel_id": "80701040"}, {"ref": "yunbeomlee/icr-identifying-age-related-conditions", "kernel_id": "83223688"}, {"ref": "jamaltiska/project123", "kernel_id": "91014861"}, {"ref": "rishabhkannaujiya/icr-eda-using-baseline-model", "kernel_id": "98102731"}, {"ref": "saka6824/notebookthg68", "kernel_id": "102221620"}, {"ref": "saka6824/btlml-nhom-8", "kernel_id": "102994760"}, {"ref": "srimmanm/deepan-online-model-demo", "kernel_id": "104446552"}, {"ref": "trinham/icr-tri-nham-identifying-age-related-conditions", "kernel_id": "107108891"}, {"ref": "pronomuos/automl", "kernel_id": "108557455"}, {"ref": "pronomuos/icr-my-solution", "kernel_id": "108612388"}, {"ref": "ywt032/icr-rd", "kernel_id": "113040988"}, {"ref": "sajnatasneem/proj1-age", "kernel_id": "115308795"}]}
{"competition_id": "52789", "kernels": []}
{"competition_id": "52823", "kernels": [{"ref": "tracyporter/mobile-phone-cost-tf-ann", "kernel_id": "38364103"}, {"ref": "radhikac7/tutorial-notebook", "kernel_id": "38279418"}]}
{"competition_id": "52824", "kernels": []}
{"competition_id": "52929", "kernels": [{"ref": "yunsuxiaozi/host-lenet-5-score-0-63", "kernel_id": "38210609"}]}
{"competition_id": "52934", "kernels": []}
{"competition_id": "52937", "kernels": [{"ref": "dquint/model2-clean-and-fixed", "kernel_id": "40968629"}, {"ref": "dquint/model-3", "kernel_id": "40969669"}, {"ref": "dquint/fork-of-confmatrix-on-model1-clean", "kernel_id": "41532171"}, {"ref": "dquint/fork-of-model1-clean", "kernel_id": "41159841"}, {"ref": "dquint/confmatrix-on-model1-clean", "kernel_id": "41369337"}]}
{"competition_id": "52950", "kernels": [{"ref": "wonderingalice/working-sample-submission-and-inference", "kernel_id": "38778766"}, {"ref": "alexis1024/fixed-random-dummy-submission", "kernel_id": "38645057"}, {"ref": "ilyaryabov/example-of-training-asl-model", "kernel_id": "38979052"}, {"ref": "chack3/sequence-id-435344989-is-not-found", "kernel_id": "38497575"}, {"ref": "chack3/pytorch-simple-model", "kernel_id": "38784701"}, {"ref": "stpeteishii/asl-finger-signs-2d-slide-show", "kernel_id": "38466826"}, {"ref": "mpwolke/deaf-loud-with-tf-lite-on-kaggle", "kernel_id": "38705798"}, {"ref": "mpwolke/fingerspelling-why-do-you-ask-silly-questions", "kernel_id": "38377538"}, {"ref": "mbmmurad/gaslfr-eda-visualization-evaluation-metric", "kernel_id": "38653181"}, {"ref": "longyikim/finger-first", "kernel_id": "38960114"}, {"ref": "smackcrane/gasfr-simple-animated-visualization", "kernel_id": "38606929"}, {"ref": "andradaolteanu/zzz-good-night-sleep-with-80-memory-reduction", "kernel_id": "38428981"}, {"ref": "riadalmadani/asl-fingerspelling-eda", "kernel_id": "38650450"}, {"ref": "leonidkulyk/eda-aslfr-animated-visualization", "kernel_id": "38374023"}, {"ref": "markwijkhuizen/aslfr-eda-preprocessing-dataset", "kernel_id": "38406896"}, {"ref": "irohith/aslfr-preprocess-dataset", "kernel_id": "38905637"}, {"ref": "regisvargas/warning-beginner-s-notebook", "kernel_id": "38409516"}, {"ref": "ridwanmahenra/eda-visualization-fingerspelling", "kernel_id": "38451078"}, {"ref": "deveshchaudhary7606/finger-spelling", "kernel_id": "38479623"}, {"ref": "alihusn/exploring-dataset", "kernel_id": "38565896"}, {"ref": "conweezy/tfrecord-creator", "kernel_id": "38994292"}, {"ref": "mdreyadhossainnsu/eda-asl-fingerspelling-data", "kernel_id": "38396461"}, {"ref": "swaptr/aslfr-the-eda-you-need", "kernel_id": "38403204"}, {"ref": "bloodhound/sign-language-to-text", "kernel_id": "38844364"}, {"ref": "sujaykapadnis/transforming-asl-fingerspelling-with-tensorflow", "kernel_id": "38445732"}, {"ref": "prashantverma13/google-asl-fingerspelling-recognition-eda", "kernel_id": "38736488"}, {"ref": "anika19/eda-asl-fingerspelling", "kernel_id": "38386347"}, {"ref": "ayushs9020/understanding-the-competition-asl", "kernel_id": "38393382"}, {"ref": "duyanhtran/gg-american-sign-language-recognition-nb", "kernel_id": "38550882"}, {"ref": "omarsobhy14/asl-understanding-dataset", "kernel_id": "38998081"}, {"ref": "drmwnnrafi/eda-asl-fingerspelling-2d-3d-plot", "kernel_id": "38377708"}, {"ref": "sharifi76/eda-motion-visualization-fingerspelling", "kernel_id": "38413845"}, {"ref": "hebasaleh00/aslfr-training-and-evaluation-with-levenshtein-dis", "kernel_id": "38849851"}, {"ref": "gellitarun/sign-language", "kernel_id": "38392913"}, {"ref": "gyannirohitsinghal/a-way-forward-train-a-ann-on-the-clean-asl-symbol", "kernel_id": "38651890"}, {"ref": "stk2666/aslfr-numpydatapreprocess-train", "kernel_id": "38842054"}, {"ref": "martinklefasstennett/asl-fingerspelling-exploring-the-training-data", "kernel_id": "38544436"}, {"ref": "something4kag/aslfr-transformer-irohith-tflite-runtime-2-14-0", "kernel_id": "39417871"}, {"ref": "something4kag/asl-f-preprocessing-example", "kernel_id": "39491274"}, {"ref": "something4kag/asl-f-preprocessing-example-submission-test", "kernel_id": "39491588"}, {"ref": "anokas/static-greedy-baseline-0-157-lb", "kernel_id": "39115562"}, {"ref": "nadigshreekanth/data-visualization-using-mediapipe-apis", "kernel_id": "39410462"}, {"ref": "leooli725/aslfr-transformer", "kernel_id": "39645130"}, {"ref": "mdecoster/edge-cases-and-local-inference", "kernel_id": "39422063"}, {"ref": "vinitkp/r-eda-sign-language", "kernel_id": "39208348"}, {"ref": "jiangjixiang/for-pytorch-summit", "kernel_id": "39870054"}, {"ref": "nightsh4de/aslfr-transformer", "kernel_id": "39687221"}, {"ref": "nightsh4de/aslfr-preprocess-dataset", "kernel_id": "39889229"}, {"ref": "victordumetz/gaslfr-svg-visualisation", "kernel_id": "39303109"}, {"ref": "irohith/aslfr-transformer", "kernel_id": "39056322"}, {"ref": "hoyso48/aslfr-create-tfr", "kernel_id": "39641142"}, {"ref": "hoyso48/aslfr-get-gcs-path", "kernel_id": "39779223"}, {"ref": "zohrehghandfrooshan/notebook9928a83c09", "kernel_id": "39011195"}, {"ref": "shlomoron/aslfr-parquets-to-tfrecords-cleaned", "kernel_id": "39985044"}, {"ref": "samundersingh/gosign", "kernel_id": "39923199"}, {"ref": "jocelyndumlao/asl-fingerspelling-accuracy-w-levenshtein-dist", "kernel_id": "39046045"}, {"ref": "aminghanee/notebook8cacae72bb", "kernel_id": "39022286"}, {"ref": "martinjohnm/notebook8fa9fe6c70", "kernel_id": "39716659"}, {"ref": "seonokrkim/process-supplemental-dataset", "kernel_id": "39813133"}, {"ref": "doodoododoo/asl-workplace", "kernel_id": "39360572"}, {"ref": "fletcherjiang/sign-language-recognition", "kernel_id": "39901628"}, {"ref": "jessicasumner/googlesignllanguage", "kernel_id": "39959168"}, {"ref": "nguynminhthng/static-greedy-prediction", "kernel_id": "39882441"}, {"ref": "ylogicmachine/american-fingers", "kernel_id": "39389545"}, {"ref": "stoonbelly/fingerspelling-predicting-output-length", "kernel_id": "39997740"}, {"ref": "stoonbelly/fingerspelling-exploratory-analyses", "kernel_id": "39152754"}, {"ref": "stoonbelly/fingerspelling-minimal-model", "kernel_id": "39244194"}, {"ref": "stk2666/aslfr-numpydatapreprocess-supplemental", "kernel_id": "39191267"}, {"ref": "wenshuochen123/aslfr-transformer", "kernel_id": "39569327"}, {"ref": "wenshuochen123/parquet", "kernel_id": "39597820"}, {"ref": "freebriantaqiyyah/fajar-febrian-849", "kernel_id": "39662426"}, {"ref": "goldenlock/3rd-place-step-6-inference", "kernel_id": "40475596"}, {"ref": "amrabed/fingerspelling-recognition", "kernel_id": "40367751"}, {"ref": "rafiko1/aslfr-animated-visualization", "kernel_id": "40837904"}, {"ref": "finlay/aslfr-transformer-submit", "kernel_id": "40162673"}, {"ref": "finlay/aslfr-eda-preprocessing-dataset", "kernel_id": "40147609"}, {"ref": "finlay/aslfr-transformer-training-inference", "kernel_id": "40107270"}, {"ref": "coldfir3/aslfr-dataset-compression", "kernel_id": "40289216"}, {"ref": "arka1993/asl-eda", "kernel_id": "40176470"}, {"ref": "nightsh4de/dataset-vanilla", "kernel_id": "40563722"}, {"ref": "phanttan/asl-data-visualization-using-mediapipe-apis", "kernel_id": "40978791"}, {"ref": "mpwolke/drawings-by-victor-griffh-c-number", "kernel_id": "40610339"}, {"ref": "derekxue/aslfr-eda-visualization", "kernel_id": "40404681"}, {"ref": "daewogibran/aslfr-with-transformer", "kernel_id": "40674468"}, {"ref": "averma111/pytorch-asl-rekog", "kernel_id": "40891157"}, {"ref": "clearwaterkzk/eda-asl-vis-distribution-all-frame-length", "kernel_id": "40659026"}, {"ref": "markwijkhuizen/aslfr-transformer-training-inference", "kernel_id": "40006578"}, {"ref": "markwijkhuizen/aslfr-inference-python3-7-tpu", "kernel_id": "40679775"}, {"ref": "irohith/aslfr-ctc-based-on-prev-comp-1st-place", "kernel_id": "40404310"}, {"ref": "greysky/levenshtein-distance-implementation", "kernel_id": "40852328"}, {"ref": "bajajganesh/american-sign-language-recognition", "kernel_id": "40155990"}, {"ref": "husainattar/aslfr-a-simple-transformer", "kernel_id": "40578828"}, {"ref": "arieldrabkin/landmarks-to-images", "kernel_id": "40817105"}, {"ref": "alonmecilati/asl-spellnet", "kernel_id": "40660118"}, {"ref": "alonmecilati/cnn-lstm", "kernel_id": "40756476"}, {"ref": "neelanjanchakraborty/google-asl-eda", "kernel_id": "40582258"}, {"ref": "mizaazir/asl-preprocessing", "kernel_id": "40568348"}, {"ref": "mizaazir/asl-train", "kernel_id": "40751768"}, {"ref": "mizaazir/asl-preprocessing-supplemental", "kernel_id": "40912982"}, {"ref": "treeleaves30760/cnn-basic", "kernel_id": "40308356"}, {"ref": "shlomoron/aslfr-a-simple-transformer", "kernel_id": "40014117"}, {"ref": "superb20/data-preprocessing-template-notebook", "kernel_id": "40285966"}, {"ref": "deusexspiravit/regem-et-fures", "kernel_id": "40578135"}, {"ref": "gusthema/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "40688860"}, {"ref": "changcom/aslfr-a-simple-transformer-google", "kernel_id": "40729630"}, {"ref": "satyaprakashshukl/eda-asl-fingerspelling", "kernel_id": "40562405"}, {"ref": "jobstim/myfirstasljethro", "kernel_id": "40564324"}, {"ref": "trishanudas/aslr-notebook-eda-preprocessing", "kernel_id": "40654882"}, {"ref": "trishanudas/aslr-customtransformer", "kernel_id": "40758567"}, {"ref": "m4nugnzl/aslfr-eda-preprocessing-dataset-for-beginners", "kernel_id": "40801840"}, {"ref": "m4nugnzl/aslfr-preprocessing-explained", "kernel_id": "40826852"}, {"ref": "m4nugnzl/modelization", "kernel_id": "40930817"}, {"ref": "m4nugnzl/preprocessing-explained-in-spanish", "kernel_id": "40570170"}, {"ref": "ashishjagdishsharma/google-aslfr", "kernel_id": "40762111"}, {"ref": "justinsnow/aslfr-transformer-training-inference", "kernel_id": "40667264"}, {"ref": "hebasaleh00/aslfr-eda-preprocessing", "kernel_id": "40037625"}, {"ref": "ahmedxc4/aslfr-transformer", "kernel_id": "40791161"}, {"ref": "ahmedxc4/asl-fingerspelling-recognition-data", "kernel_id": "40772377"}, {"ref": "fazorglitz1/asl-fingerspelling-model-2", "kernel_id": "40326140"}, {"ref": "fazorglitz1/asl-to-alphabet-model", "kernel_id": "40669017"}, {"ref": "zoutongzt/aslfr-submission", "kernel_id": "40592337"}, {"ref": "fatemehfadaei/asl-fingerspelling-recognition", "kernel_id": "40504115"}, {"ref": "wenshuochen123/transformer-training-inference", "kernel_id": "40525990"}, {"ref": "mahakpreetkaurvirdi/aslfr-eda-preprocessing-evaluation", "kernel_id": "40229157"}, {"ref": "freebriantaqiyyah/fork-of-aslfr-transformer", "kernel_id": "40477498"}, {"ref": "embeddedravi/eda-visualize-asl-parquet-data-using-matplotlib", "kernel_id": "40590073"}, {"ref": "yassinealouini/asl-fingerspelling-eda", "kernel_id": "41834138"}, {"ref": "roger92/transformer-training-inference", "kernel_id": "41220310"}, {"ref": "matucker/asl-fingerx3", "kernel_id": "41475165"}, {"ref": "shivanshbeohar/fork-of-aslfr-ctc-loss-augmentation", "kernel_id": "41920428"}, {"ref": "joebeachcapital/aslfr-transformer-training-inference-943e91", "kernel_id": "41217417"}, {"ref": "nightsh4de/17th-solution-ctc-conformer", "kernel_id": "41215064"}, {"ref": "quan0095/submission", "kernel_id": "41676358"}, {"ref": "limitz/intrinsic-learning-and-auto-segmentation", "kernel_id": "41393087"}, {"ref": "wenchenhuang/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "41711133"}, {"ref": "irohith/aslfr-preprocess-dataset-tfrecords-mean-std", "kernel_id": "41154570"}, {"ref": "baohaoliao/aslfr-data-preprocessing", "kernel_id": "41152499"}, {"ref": "matthewkey/visual-google-asl-simple-animation-hands-only", "kernel_id": "41015904"}, {"ref": "alonmecilati/testing-grounds", "kernel_id": "41101347"}, {"ref": "dominicimbuga/making-ai-more-accessible-for-the-deaf", "kernel_id": "41712763"}, {"ref": "royalacecat/the-deeper-the-better", "kernel_id": "41848115"}, {"ref": "royalacecat/lb-0-69-a-litte-improvement", "kernel_id": "41803058"}, {"ref": "shlomoron/aslfr-ctc-on-tpu-submission", "kernel_id": "41794283"}, {"ref": "shlomoron/aslfr-ctc-on-tpu", "kernel_id": "41366605"}, {"ref": "doggeyoung/aslfr-ctc-based-on-prev-comp-1st-place-test", "kernel_id": "41636032"}, {"ref": "rohithapaveri/sign-language", "kernel_id": "41990853"}, {"ref": "dasithniwanthaka/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "41843260"}, {"ref": "khaledelbhnasy/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "41442720"}, {"ref": "seifeldinwael/session2", "kernel_id": "41311347"}, {"ref": "zyt262520/calv-23-07-30-v2-aslfr-transformer-training", "kernel_id": "41588462"}, {"ref": "zyt262520/calv-23-08-03-v1-augment-data", "kernel_id": "41731003"}, {"ref": "leonwonohito/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "41219902"}, {"ref": "hsf4505/asl-fingerspelling-recognition", "kernel_id": "41863363"}, {"ref": "saidineshpola/aslfr-ctc-based-on-prev-comp-1st-place", "kernel_id": "41517512"}, {"ref": "amanmukati/american-sign-language-aug", "kernel_id": "41728963"}, {"ref": "tylerkoon/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "41431052"}, {"ref": "kirtirajsinhparmar/ctc-model-v-2", "kernel_id": "41430296"}, {"ref": "trailbroad/20mandollar", "kernel_id": "41393864"}, {"ref": "sourabhsingh03993493/aslfr-ctc-sign-into-text", "kernel_id": "41985166"}, {"ref": "abduladjan/test-submision-fingerspelling-001", "kernel_id": "41856694"}, {"ref": "kapedalex/aslfr-ctc-with-comments", "kernel_id": "41965585"}, {"ref": "shawnsimon15/a-little-better-model", "kernel_id": "41368954"}, {"ref": "holmes0610/aslfr-ctc", "kernel_id": "41418110"}, {"ref": "coldslim/asl-fingerspelling-recognition-project", "kernel_id": "41583460"}, {"ref": "peshaladushyanthika/fingerspelling", "kernel_id": "41141789"}, {"ref": "stoonbelly/aslfs-preprocess-and-tfrecord", "kernel_id": "41916341"}, {"ref": "muratbarkinknay/notebookd91d64e525", "kernel_id": "41827745"}, {"ref": "m4nugnzl/aslfr-transformer-training-fully-explained", "kernel_id": "41617319"}, {"ref": "liuyixijia/notebook7de733580f", "kernel_id": "41195277"}, {"ref": "jainam213/aslfr-ctc-based-on-prev-comp-1st-place-68afa2", "kernel_id": "41867304"}, {"ref": "ignaciosanzportillo/aslfr-eda-visualization", "kernel_id": "41623480"}, {"ref": "ignaciosanzportillo/eda-american-sign-language", "kernel_id": "41264483"}, {"ref": "abhipandey123445/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "41715236"}, {"ref": "bacharacherif/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "41724379"}, {"ref": "udayankulkarni/asl-project-modelling", "kernel_id": "41333851"}, {"ref": "jjleesunny/how-to-ensemble-ctc-models", "kernel_id": "41861345"}, {"ref": "jjleesunny/raw-tfrecords", "kernel_id": "41672361"}, {"ref": "ddayanavincent/google-american-sign-language-recognition", "kernel_id": "41755890"}, {"ref": "noelsjacob/processing-lhand-rhand-lpose-rpose-and-lip", "kernel_id": "41463038"}, {"ref": "noelsjacob/aslfr-tfrecord-datacleaning", "kernel_id": "41516688"}, {"ref": "mrmaazoo/notebook3d056fc67f", "kernel_id": "41277770"}, {"ref": "adityakishor1/preprocess-of-aslfs-and-tfrecord", "kernel_id": "41960366"}, {"ref": "adityabajaj03/google-asl-w", "kernel_id": "41513051"}, {"ref": "deekayg/asl-code-final", "kernel_id": "41797152"}, {"ref": "chuansj/v2-aslfr-ctc-based-on-prev-comp-1st-place", "kernel_id": "41435578"}, {"ref": "chuansj/asfl-dataset", "kernel_id": "41971738"}, {"ref": "freak360/visual-google-asl-simple-animation-hands-only", "kernel_id": "41298646"}, {"ref": "rivkyklapholtz/project", "kernel_id": "41425637"}, {"ref": "montassarbenyahia/aslfr-transformer-training-inference", "kernel_id": "41849225"}, {"ref": "montassarbenyahia/eda-aslfr-animated-visualization", "kernel_id": "41818353"}, {"ref": "goldenlock/3rd-place-step1-gen-tfrecords-for-train", "kernel_id": "42481299"}, {"ref": "goldenlock/3rd-place-step2-gen-tfrecords-for-supplement", "kernel_id": "42486240"}, {"ref": "goldenlock/3rd-place-step-4-train-squeezeformer", "kernel_id": "42486796"}, {"ref": "goldenlock/3rd-place-step-3-gen-mean-and-std", "kernel_id": "42508484"}, {"ref": "goldenlock/3rd-place-step-5-torch2keras-using-nobuco", "kernel_id": "42515306"}, {"ref": "yassinealouini/from-parquet-to-animated-landmarks", "kernel_id": "42546615"}, {"ref": "darraghdog/asl-fingerspelling-preprocessing-train", "kernel_id": "42551887"}, {"ref": "darraghdog/asl-fingerspelling-preprocessing-supplemental", "kernel_id": "42552169"}, {"ref": "joqueen/m12-yu-aslfr-inference", "kernel_id": "42289149"}, {"ref": "yubinxie/pre-trained-with-supplementary-data-aslfr-modell", "kernel_id": "42032002"}, {"ref": "cdeotte/2-lines-of-code-change-lb-0-760", "kernel_id": "42407609"}, {"ref": "vinitkp/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "42027356"}, {"ref": "level14taken/notebook0f2da16929", "kernel_id": "42449886"}, {"ref": "ammarahmadqazi/private-vs-public-lb", "kernel_id": "42752584"}, {"ref": "hoyso48/2nd-place-solution-training", "kernel_id": "42776175"}, {"ref": "hoyso48/2nd-place-solution-inference", "kernel_id": "42752906"}, {"ref": "hamnaqaseem/strugglers-we", "kernel_id": "42134060"}, {"ref": "glitchr/wlasl-100-data-preparation-training", "kernel_id": "42166169"}, {"ref": "fritzcremer/asl-shakeup", "kernel_id": "42464230"}, {"ref": "shlomoron/aslfr-final-model-submission", "kernel_id": "42657373"}, {"ref": "shlomoron/aslfr-base-model-levs-tfrecords", "kernel_id": "42603407"}, {"ref": "shlomoron/aslfr-parquets-to-tfrecords", "kernel_id": "42532723"}, {"ref": "sarashahin/google-americansignlanguagefingerspellingrec", "kernel_id": "42063721"}, {"ref": "rohithapaveri/asl-final", "kernel_id": "42349532"}, {"ref": "leizhengxin/aslfr-ctc-based-on-prev-comp-1st-place", "kernel_id": "42076975"}, {"ref": "sourabhsingh03993493/fingerspelling-recognition-w-tensorflow", "kernel_id": "42739860"}, {"ref": "limaodoce/oficial", "kernel_id": "42170307"}, {"ref": "andydollin21/asl-recognition-pyspark-tensorflow", "kernel_id": "42239737"}, {"ref": "lum04thebest/inference-inference-of-tpu-training-model", "kernel_id": "42028535"}, {"ref": "jay00hwang/submissionv3", "kernel_id": "42333136"}, {"ref": "sahirshahryar/sahir-s-asl-fingerspelling", "kernel_id": "42924255"}, {"ref": "wuhongrui/aslfr-training", "kernel_id": "42510928"}, {"ref": "wuhongrui/ctc-final-inference-notebook", "kernel_id": "42432597"}, {"ref": "wuhongrui/aslfr-gcs-path", "kernel_id": "42041802"}, {"ref": "kaushikkrsarma/american-sign-language", "kernel_id": "42093839"}, {"ref": "calvinai/calv-23-08-13-v2-aslfr-transformer-training", "kernel_id": "42052168"}, {"ref": "calvinai/calv-23-08-14-v1-aslfr-transformer-training", "kernel_id": "42071862"}, {"ref": "khan7715/asl-sign-language-tf-t4gpu", "kernel_id": "43549622"}, {"ref": "avishekdas539/american-sign-language-detection-fingerspelling", "kernel_id": "44714661"}, {"ref": "phamduchongduck17hcm/eda-python", "kernel_id": "44801527"}, {"ref": "ken58168/ken-data", "kernel_id": "44397109"}, {"ref": "pritanand/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "45131446"}, {"ref": "sivapaturi/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "46445034"}, {"ref": "gunner2k/capzz", "kernel_id": "46247592"}, {"ref": "fernandajimnez/preprocesamiento-train-data", "kernel_id": "46530962"}, {"ref": "fernandajimnez/preprocessing-sup-data", "kernel_id": "47594798"}, {"ref": "fernandajimnez/preprocess-traindata", "kernel_id": "47601844"}, {"ref": "vuongminhtuan/code2", "kernel_id": "47544508"}, {"ref": "vuongminhtuan/code1", "kernel_id": "47334827"}, {"ref": "siljawalenius/syde599-project-vanilla", "kernel_id": "47076142"}, {"ref": "siljawalenius/vanilla-final-599", "kernel_id": "47222741"}, {"ref": "yazeedmshayikh/transformer", "kernel_id": "48683985"}, {"ref": "anubhavde/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "48820188"}, {"ref": "mohamedihebhergli/cs495-project", "kernel_id": "48209004"}, {"ref": "zakariajoudar/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "50326509"}, {"ref": "ahmednasserenna/pytorch-seq2seq-sign-recognition", "kernel_id": "50436662"}, {"ref": "esraaghila/asl-fingerspelling-recognition-transformer-pytorch", "kernel_id": "50595728"}, {"ref": "drdeepakgupta/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "51989111"}, {"ref": "sanjibanbhattacharya/america-sign-language-detection-using-st-gcn-bert", "kernel_id": "52409305"}, {"ref": "mdjamshedalam/asl-tensorflow", "kernel_id": "53796783"}, {"ref": "mdjamshedalam/aslfr-transformer", "kernel_id": "53724148"}, {"ref": "talal7/signscribe", "kernel_id": "54965982"}, {"ref": "jhsu12/new-gesture-training", "kernel_id": "55003149"}, {"ref": "halssara/cv-google-aslfr", "kernel_id": "58803485"}, {"ref": "trnvngquct/sign-language-finger-spelling", "kernel_id": "59032799"}, {"ref": "kkaarrtthhiikkr/example-of-training-asl-model", "kernel_id": "59146734"}, {"ref": "hohohoho4543/google-asl-fingerspelling-recognition-eda", "kernel_id": "63455436"}, {"ref": "hohohoho4543/asl-fingerspelling-recognition-w", "kernel_id": "63237200"}, {"ref": "siniuho/siniu-gust-ipynb", "kernel_id": "63542647"}, {"ref": "sanjibanbhattacharya/asl-with-st-gcn-and-bert", "kernel_id": "64296721"}, {"ref": "nishitdudeja/asl-fingerspelling-recognition-w-tensorflo-671cb8", "kernel_id": "64498884"}, {"ref": "dnyaneshwalwadkar/fingerspelling-recognition-transformer", "kernel_id": "65818611"}, {"ref": "bogdanturbal/present-sign-language-recognition", "kernel_id": "70501201"}, {"ref": "nosanesrine/american-sign-language-fingerspelling-recognition", "kernel_id": "71597897"}, {"ref": "zoyaghoshal/conv-conformer-test-2-d67a5e", "kernel_id": "72343891"}, {"ref": "matthieuouvrard/notebook1f7e6df329", "kernel_id": "72883552"}, {"ref": "tanmaynanda/conv-squeezeformer-test", "kernel_id": "72260579"}, {"ref": "tanmaynanda/conv-conformer-test-2", "kernel_id": "72301458"}, {"ref": "tanaysrinivasa/conv-squeezeformer-conformer-test", "kernel_id": "72489598"}, {"ref": "jayantbhatia121/asl-recognition", "kernel_id": "74977031"}, {"ref": "moonquakemiao/google-asl-for-transformer", "kernel_id": "76948140"}, {"ref": "jawadhussainshar/notebookbf1e923620", "kernel_id": "78837426"}, {"ref": "vishakkbhat/training-notebook-aishit", "kernel_id": "80347752"}, {"ref": "dngtrnl/pre-for-fsp", "kernel_id": "80193724"}, {"ref": "saaar26/fork-of-asl-transformer-model-a26ba9", "kernel_id": "81531068"}, {"ref": "dngtrnl/analyze-data", "kernel_id": "81615207"}, {"ref": "dngtrnl/fingerspelling-recog", "kernel_id": "82307369"}, {"ref": "uyltrng/asl-uyyu", "kernel_id": "82610740"}, {"ref": "paulmwaura/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "83213798"}, {"ref": "abdelrahmanmahmoud0/asl-parquet-files-visualization", "kernel_id": "83662814"}, {"ref": "faaayy/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "83340299"}, {"ref": "dngtrnl/test-fsp", "kernel_id": "83234156"}, {"ref": "dngtrnl/final-of-fingerspelling-recog", "kernel_id": "83231785"}, {"ref": "uyltrng/recognition-in-the-wild", "kernel_id": "83216010"}, {"ref": "nghuyphmnguyn/asl-fingerspelling-recognition-w-pytorch", "kernel_id": "83432689"}, {"ref": "chichannn/ctc-intergration", "kernel_id": "83232259"}, {"ref": "chichannn/fork-of-ctc-intergration", "kernel_id": "84638668"}, {"ref": "mateusaleixo/notebooka445ab591a", "kernel_id": "85833252"}, {"ref": "summersamar/asl-word-coordinates", "kernel_id": "88378855"}, {"ref": "summersamar/asl-fingerspelling-train", "kernel_id": "88048118"}, {"ref": "summersamar/3rd-place-asl", "kernel_id": "94348770"}, {"ref": "alirazasiyyal/asl-fingerspelling-recognition-w-tensorflow", "kernel_id": "96372410"}, {"ref": "kirtirajsinhparmar/ctc-model-final-v-2", "kernel_id": "98598967"}, {"ref": "pauerv/notebook136616d653", "kernel_id": "107813171"}, {"ref": "lejuin/asl-landmarks-visualization", "kernel_id": "108796389"}, {"ref": "lejuin/fingerspelling-data-prep", "kernel_id": "109551498"}, {"ref": "sscalzadonnaupc/notebook136616d653-v12-overfit", "kernel_id": "109341391"}, {"ref": "pauerv/notebook136616d653-v12-overfit", "kernel_id": "110181608"}, {"ref": "sscalzadonnaupc/notebook136616d653-v12-lstm", "kernel_id": "110820419"}, {"ref": "sscalzadonnaupc/notebook136616d653-v12-landmarks", "kernel_id": "110261882"}, {"ref": "sscalzadonnaupc/notebook136616d653-v12-gcn", "kernel_id": "111009619"}, {"ref": "tarunjoseph98/asl-v6-with-supplemental", "kernel_id": "113161011"}, {"ref": "hantien/mie1517-final-version", "kernel_id": "114550231"}, {"ref": "li231sdplayz/notebook11b9bcd42d", "kernel_id": "115579413"}, {"ref": "shahdelgouhary/fingerspelling-recognition", "kernel_id": "129867773"}]}
{"competition_id": "52953", "kernels": [{"ref": "nikinezakati/notebook0dcb372417", "kernel_id": "38366282"}, {"ref": "sahandnazarzadeh/notebook0b71023a21", "kernel_id": "38283640"}, {"ref": "babakbehkamkia/notebook6f6acc90cf", "kernel_id": "38253665"}, {"ref": "mortezashahrabi/vqa-transformer-shahrabi", "kernel_id": "38253897"}, {"ref": "bayany/vision-language-transformers", "kernel_id": "38448335"}, {"ref": "mjavadmt/minivqa-customtransformer", "kernel_id": "38253236"}, {"ref": "hamedhf/notebook1", "kernel_id": "38438177"}, {"ref": "hamedhf/vqa-hamed", "kernel_id": "38253147"}, {"ref": "mahdiamirishavaki/notebook0f75a1417d", "kernel_id": "38253235"}, {"ref": "sabarazi/notebook8d50364318", "kernel_id": "38253736"}, {"ref": "hooriehsabzevari/notebooka91e9c50e1", "kernel_id": "38253705"}, {"ref": "reyhaneshahrokhian/notebook2980396b28", "kernel_id": "38253519"}, {"ref": "shahrzadazari/vqa-shahrzadazari", "kernel_id": "38254161"}, {"ref": "sinsinnati/notebookf94aa4f778", "kernel_id": "38253587"}, {"ref": "parsakangavari/notebook3304c0feda", "kernel_id": "38253774"}, {"ref": "amirhosseinsamavat/notebook726559cee4", "kernel_id": "38253234"}, {"ref": "mahdiehnaderi/notebookb8bb858e81", "kernel_id": "38969673"}]}
{"competition_id": "52982", "kernels": []}
{"competition_id": "53011", "kernels": [{"ref": "dzbeavers/submissionnotebook", "kernel_id": "38663986"}]}
{"competition_id": "53023", "kernels": []}
{"competition_id": "53037", "kernels": []}
{"competition_id": "53055", "kernels": [{"ref": "movsisyanm/armenian-handwriting-letter-classification", "kernel_id": "47801543"}, {"ref": "nanekeshishyan/cnnmodel", "kernel_id": "47775402"}]}
{"competition_id": "53057", "kernels": []}
{"competition_id": "53062", "kernels": []}
{"competition_id": "53109", "kernels": [{"ref": "varunsampathkumar/kagglecommunity-mathcategoryclassification", "kernel_id": "38356443"}, {"ref": "aman7kumar/maths-problem-classification", "kernel_id": "38745561"}, {"ref": "shrutinavlakha/notebook4f068a3566", "kernel_id": "39052973"}, {"ref": "amansagar123/notebook7e05becd15", "kernel_id": "39600434"}, {"ref": "devendrajohari/mathproblemclassification", "kernel_id": "40787147"}, {"ref": "ankitkumar07123/ankit-kumar-math-problem-categorization", "kernel_id": "40291369"}, {"ref": "priyankakumari401/priyanka-kumari-bytelearn-maths-classify", "kernel_id": "40803429"}, {"ref": "aditya33agrawal/maths-classification-aditya", "kernel_id": "40826736"}, {"ref": "professorsheeuk/categorization-for-math-problem", "kernel_id": "40203458"}, {"ref": "kishoresitaram/kishore-sitaram-solution-notebook", "kernel_id": "40757746"}, {"ref": "raviishukla/ravi-shukla-math-problem-categorization", "kernel_id": "40238822"}, {"ref": "yadavanurag123/math-problem-classification-by-anurag", "kernel_id": "41539214"}, {"ref": "radhikaaggarwal29/math-problem-categorization-radhika", "kernel_id": "41878138"}, {"ref": "keerthanas57/bytelearn", "kernel_id": "41868858"}, {"ref": "vjviz22/notebook4f0779704f", "kernel_id": "41460405"}, {"ref": "zohaibshaik12/math-prob-classification", "kernel_id": "41627885"}, {"ref": "karthikvarma56/notebooke6ddf3063d", "kernel_id": "41628496"}, {"ref": "roymanish1234/math-problem-classification", "kernel_id": "41665365"}, {"ref": "vishwaskant786/vishwas-kant-maths-classification", "kernel_id": "41731506"}]}
{"competition_id": "53140", "kernels": [{"ref": "tracyporter/telecom-churn-passive-aggressive", "kernel_id": "38444818"}, {"ref": "tracyporter/telecom-churn-perceptron", "kernel_id": "38448316"}, {"ref": "tracyporter/telecom-churn-mlpc", "kernel_id": "38448475"}, {"ref": "tracyporter/telecom-churn-tf-ann", "kernel_id": "38450838"}, {"ref": "tracyporter/telecom-churn-mlpc-encode-objects", "kernel_id": "38469226"}, {"ref": "pablo94/customer-s-churn", "kernel_id": "39922872"}, {"ref": "rakshith8626/logistic-regression-with-rfe", "kernel_id": "39595027"}, {"ref": "drnagendrajayaram/nagendra-j-rakeshc", "kernel_id": "39622635"}, {"ref": "drnagendrajayaram/notebook7ccadcbbb6", "kernel_id": "39539233"}]}
{"competition_id": "53237", "kernels": []}
{"competition_id": "53245", "kernels": []}
{"competition_id": "53247", "kernels": []}
{"competition_id": "53258", "kernels": []}
{"competition_id": "53312", "kernels": []}
{"competition_id": "53313", "kernels": []}
{"competition_id": "53316", "kernels": []}
{"competition_id": "53322", "kernels": []}
{"competition_id": "53376", "kernels": [{"ref": "phongnguyen1/a-framework-for-classification-e17-12-10", "kernel_id": "35762096"}, {"ref": "kdmitrie/pgs318-simple-use-of-optuna-algorithms-blending", "kernel_id": "38574587"}, {"ref": "scirpus/failure-mcfailure", "kernel_id": "39999312"}, {"ref": "chemaplana/the-accountant-inevitability-of-failure", "kernel_id": "39936575"}, {"ref": "vaidyaprasad84/eda-sampling-ft-binary-classification", "kernel_id": "39982708"}, {"ref": "andrewnuk/ps-s3e17-20230613-kfolds", "kernel_id": "39938975"}, {"ref": "docxian/ps-s3-e17-machine-failure-eda-corr-glm", "kernel_id": "39933150"}, {"ref": "alenic/lb-0-9755-simple-lightgbm", "kernel_id": "39919909"}, {"ref": "oscarm524/ps-s3-ep17-eda-modeling-submission", "kernel_id": "39920475"}, {"ref": "natsu18/ps-3-17-xgboost", "kernel_id": "39904701"}, {"ref": "kimtaehun/simple-eda-and-xgb-baseline-in-2mins", "kernel_id": "39898818"}, {"ref": "pranay20485/explainer-notebook-for-s3e17", "kernel_id": "39898371"}, {"ref": "joebeachcapital/machine-failures-eda-simple-models", "kernel_id": "39897798"}, {"ref": "joebeachcapital/machine-failures-feature-engineering-ensembling", "kernel_id": "39944236"}, {"ref": "tanisha1416/eda-smote-xgb-baseline-beginners", "kernel_id": "39907751"}, {"ref": "kurosakishusuke/ps3ep17-smote-optuna-lgbm-xgb", "kernel_id": "39924849"}, {"ref": "chiranjeevisrinivas/playground-series-s3e17", "kernel_id": "39919029"}, {"ref": "harshavardhanbabu/low-code-pycaret", "kernel_id": "39919259"}, {"ref": "harshavardhanbabu/one-shot-eda-sweetviz-dataprofiling-autoviz", "kernel_id": "39907112"}, {"ref": "prakharprasad/machine-failures-94-accuracy-logreg", "kernel_id": "39949786"}, {"ref": "amanpathak2909/machinefailures-eda-imbalanced", "kernel_id": "39897697"}, {"ref": "stpeteishii/pss3-ep17-lgbm-with-optuna", "kernel_id": "39924621"}, {"ref": "stpeteishii/pss3-ep17-visualize-importance", "kernel_id": "39928174"}, {"ref": "mmellinger66/ps3e17-eda-xgb-cat-lgbm", "kernel_id": "39943153"}, {"ref": "mpwolke/when-will-my-machine-breakdown", "kernel_id": "39927128"}, {"ref": "nkaria1/playground-s3e17-machine-failure", "kernel_id": "39981009"}, {"ref": "cid007/ydata-profiling-eda-base-model", "kernel_id": "39897477"}, {"ref": "averma111/pss3e17-binary-classification-pytorch", "kernel_id": "39952169"}, {"ref": "dongjun819/pgs3-17-eda-ensemble", "kernel_id": "39904653"}, {"ref": "wordcards/pgs3-17-target-encoding-and-aggregation-features", "kernel_id": "39913960"}, {"ref": "kkhandekar/binary-classification-tensorflow-v-s-pytorch", "kernel_id": "39905410"}, {"ref": "mexwell/ps3e17-eda-for-getting-started", "kernel_id": "39916779"}, {"ref": "amarloni/pgs3-e17", "kernel_id": "39952560"}, {"ref": "amarloni/pgs3e17", "kernel_id": "39923362"}, {"ref": "charunumesh/ps-s3-e17-eda", "kernel_id": "39929118"}, {"ref": "akioonodera/ps-3-17-lgbm-bin", "kernel_id": "39897472"}, {"ref": "kdmitrie/pgs41-easy-use-of-h2o-automl", "kernel_id": "39897709"}, {"ref": "nivedithavudayagiri/s3e17-eda-simple-ensemble-baseline", "kernel_id": "39924672"}, {"ref": "nivedithavudayagiri/s3e17-ensemble", "kernel_id": "39938034"}, {"ref": "aakashjoshi123/machine-failure", "kernel_id": "39930987"}, {"ref": "psyflow/psyflow-ps3e17-machine-failures-0-966", "kernel_id": "39906638"}, {"ref": "christilee/ps3-ep17-machinefailures-v1", "kernel_id": "39901124"}, {"ref": "tracyporter/play-3-17-rfc", "kernel_id": "39931543"}, {"ref": "tracyporter/play-3-17-tf", "kernel_id": "39933956"}, {"ref": "reymaster/0-9738-eda-feature-engineering-ensemble-baseline", "kernel_id": "39899817"}, {"ref": "satishpb/machine-failure-classification", "kernel_id": "39921816"}, {"ref": "ngntnlong/ps-s3e17-eda-binary-classification-with-keras", "kernel_id": "39910239"}, {"ref": "nnsssadithya/machine-failure-challange", "kernel_id": "39907604"}, {"ref": "oswaldomezaleon/xgb-b-of-robbed", "kernel_id": "39938301"}, {"ref": "nolanmeyer/ps-s3e17-eda", "kernel_id": "39898755"}, {"ref": "lovinggirls/automl-submission-pycaret", "kernel_id": "39925114"}, {"ref": "lovinggirls/create-folds-for-binary-clf-machine-failures", "kernel_id": "39924647"}, {"ref": "lovinggirls/ps3e17-mean-probability-ensemble", "kernel_id": "39964739"}, {"ref": "lovinggirls/ps3e17-ensemble-submission-with-parameter-tuning", "kernel_id": "39983760"}, {"ref": "keenanzhuo/failure-prob-eda-voting-classifier-walkthrough", "kernel_id": "39901998"}, {"ref": "saugatkafley/binary-machine-failures-randomforest-kfold", "kernel_id": "39925630"}, {"ref": "collinsakal/feature-selection-importance-and-interactions", "kernel_id": "39897703"}, {"ref": "collinsakal/machine-failure-baseline-submission-notebook", "kernel_id": "39990195"}, {"ref": "pohzixiang/machine-failure-classification-zx", "kernel_id": "39899921"}, {"ref": "haruomiyoshikawa/s3e17-tabtransformer", "kernel_id": "39930972"}, {"ref": "akiyukikouyama/baseline-gradient-boosting-classfier", "kernel_id": "39919428"}, {"ref": "jocelyndumlao/machine-failure-prediction", "kernel_id": "39952332"}, {"ref": "tetsutani/ps3e17-eda-ensemble-ml-pipeline-shap", "kernel_id": "39902754"}, {"ref": "ahana09/ps-s3e17-xgb-cat-lgbm", "kernel_id": "39923908"}, {"ref": "shuvojitdas/s3e17-eda-binary-classification", "kernel_id": "39954118"}, {"ref": "phvarma/eda-ensemble-learning", "kernel_id": "39925731"}, {"ref": "asheshsaha/eda-fe-ensemble-optuna-tuning", "kernel_id": "39983093"}, {"ref": "alekseyfomin/solution-in-just-one-line-of-code", "kernel_id": "39906014"}, {"ref": "barbagrande007/bbg007-s3e17-machinefailure", "kernel_id": "39910604"}, {"ref": "satyaprakashshukl/ensembel-classification-machine-failures-e-17", "kernel_id": "39953977"}, {"ref": "satyaprakashshukl/pycaret-predict-classification-s-17", "kernel_id": "39950913"}, {"ref": "satyaprakashshukl/binary-classification-of-machine-failures-e-17", "kernel_id": "39902048"}, {"ref": "satyaprakashshukl/neural-network-machine-failure-s-3-e-17", "kernel_id": "39902966"}, {"ref": "satyaprakashshukl/simple-eda-machine-failure", "kernel_id": "39905933"}, {"ref": "satyaprakashshukl/nn-machine-failure-series-3-e-17", "kernel_id": "39907512"}, {"ref": "sagayaabinesh/binary-classification-of-machine-failure-dtc", "kernel_id": "39983428"}, {"ref": "ravi20076/playgrounds3e17-eda-baseline", "kernel_id": "39980741"}, {"ref": "sujaykapadnis/ps-s3e17-eda-and-ensemble-stack", "kernel_id": "39900508"}, {"ref": "i191796majid/0-97192-machine-faliure-simple", "kernel_id": "39905869"}, {"ref": "xiaohu2200/baseline-framework-with-xgb-lgb-cat", "kernel_id": "39952437"}, {"ref": "lusfernandotorres/s03e17-machine-failure-prediction", "kernel_id": "39983724"}, {"ref": "klyushnik/big-size", "kernel_id": "39922310"}, {"ref": "phanendrasairam/machine-failures-s3e17-0-94", "kernel_id": "39905531"}, {"ref": "strategos2/playground-series-season-3-episode-17", "kernel_id": "39921254"}, {"ref": "yogesh239/lgbm-optuna-predict-machine-failure-probability", "kernel_id": "39904546"}, {"ref": "suraj520/pss3-e17-case-study-recommendations-prediction", "kernel_id": "39946407"}, {"ref": "sjagkoo7/binary-classification-of-machine-failures-s3e17", "kernel_id": "39901031"}, {"ref": "iqmansingh/machine-failures-xgb-lgbm-ensemble", "kernel_id": "39914773"}, {"ref": "aleemaparakatta/machine-failure-detection-beginner", "kernel_id": "39911469"}, {"ref": "yourstrulyrshi/random-forest-xgboost", "kernel_id": "39948814"}, {"ref": "javigallego/statistical-eda-fe-smote-pycaret-w-b-sweeps", "kernel_id": "39922032"}, {"ref": "ayushs9020/utc-eda-training-100-s3e17", "kernel_id": "39897902"}, {"ref": "ayushs9020/inventing-knn-from-scratch", "kernel_id": "39904014"}, {"ref": "johnycooly/machine-failure-proba", "kernel_id": "39921707"}, {"ref": "akulez/will-the-machine-fail", "kernel_id": "39950793"}, {"ref": "iqbalsyahakbar/ps3e17-eda-and-ensemble-for-starters", "kernel_id": "39902040"}, {"ref": "iqbalsyahakbar/11th-place-solution-code", "kernel_id": "39966279"}, {"ref": "priyanshu594/machine-failure-eda", "kernel_id": "39910390"}, {"ref": "mattop/playground-series-s3-e17-eda", "kernel_id": "39897904"}, {"ref": "yaaangzhou/pg-s3-e17-eda-modeling", "kernel_id": "39907591"}, {"ref": "nataliekalina/beginner-friendly-machine-failure-eda", "kernel_id": "39940571"}, {"ref": "utisop/0-97718-catboost-machine-failure-prediction", "kernel_id": "39937865"}, {"ref": "mirkosnguyn/binary-classification-vanilla-neural-network", "kernel_id": "39992566"}, {"ref": "manishkumar7432698/simple-catboost-for-machine-failure-predictions", "kernel_id": "39917651"}, {"ref": "manishkumar7432698/pse17-feature-engineering-tuning-optuna", "kernel_id": "39905966"}, {"ref": "dhanrajmalla/basic-catboost", "kernel_id": "39905674"}, {"ref": "cybersimar08/binary-classification-of-tool-failure", "kernel_id": "39906759"}, {"ref": "richeyjay/binary-classification-of-machine-failures", "kernel_id": "39936969"}, {"ref": "erokhinvitaly/0-97411-eda-new-fts-ensemble-baseline", "kernel_id": "39972619"}, {"ref": "francescoliveras/ps-s3-e17-eda-model-en-es", "kernel_id": "39937948"}, {"ref": "priyash07/pca-random-forest", "kernel_id": "39934920"}, {"ref": "aman7kumar/machine-failure-prediction", "kernel_id": "39903637"}, {"ref": "ashx010/binary-machine-failure-prediction-model", "kernel_id": "39979394"}, {"ref": "sec98b4e/ps3e17-lgbm-cv", "kernel_id": "39977042"}, {"ref": "tumpanjawat/s3e17-mf-eda-clustering-adaboost", "kernel_id": "39902144"}, {"ref": "awesomeharris/ps3e17-baseline-models", "kernel_id": "39904765"}, {"ref": "awesomeharris/ps3e17-basic-eda", "kernel_id": "39900014"}, {"ref": "yongsukprasertsuk/machine-failures-catboost", "kernel_id": "39999929"}, {"ref": "sanjanasatish68l/simple-xgboost-model-to-predict-probability", "kernel_id": "39899150"}, {"ref": "kagankoral/machine-failure-classification-model", "kernel_id": "39959196"}, {"ref": "akshayhedau/machine-failures-xgbc-hyperparamtunning", "kernel_id": "39906913"}, {"ref": "manteemike/pgs-s3-e17-machine-failure-eda", "kernel_id": "39926154"}, {"ref": "neupane9sujal/xgboost-0-96", "kernel_id": "39961884"}, {"ref": "panini92/machine-failures-eda-model-comparison", "kernel_id": "39983254"}, {"ref": "daraghthomas/broken-machines-eda-catboost-baseline-model", "kernel_id": "39977854"}, {"ref": "yantxx/xgboost-binary-classifier-machine-failure", "kernel_id": "39926908"}, {"ref": "mnokno/machine-failures-visual-eda-simple-submission", "kernel_id": "39925180"}, {"ref": "anjusukumaran4/binary-classification-of-machine-failures", "kernel_id": "39930505"}, {"ref": "utkarshx27/machine-failure-prediction", "kernel_id": "39902644"}, {"ref": "takekawatomoki/eda-submit", "kernel_id": "39923937"}, {"ref": "cozyhn/autogluon-baseline-ps-s3-e17", "kernel_id": "39897799"}, {"ref": "arunklenin/ps3e17-eda-feature-engineering-ensemble", "kernel_id": "39947449"}, {"ref": "aigetswild/playground-series-s3-e17-machine-failure", "kernel_id": "39920125"}, {"ref": "popovanastya/ps-s3e7-2023-brief-eda-and-gaussiannb-gb-xgb", "kernel_id": "39928087"}, {"ref": "natalialimanska/machine-failure-eda-and-classification", "kernel_id": "39916589"}, {"ref": "natalialimanska/machine-problems-predictions-feature-engineering", "kernel_id": "39937092"}, {"ref": "kirtanmatalia26/machine-failure-prediction-using-randomforest", "kernel_id": "39938602"}, {"ref": "atuljo/a-simple-notebook-to-start-with", "kernel_id": "39918614"}, {"ref": "xirongcui/notebook4f177bcf35", "kernel_id": "39899626"}, {"ref": "manavgupta92/s3e17-eda-baseline-cat-xgb-lgb", "kernel_id": "39908969"}, {"ref": "manavgupta92/s3e17-extended-model-submission-neural", "kernel_id": "39972060"}, {"ref": "kishore3914/machine-failure-predictor", "kernel_id": "39981013"}, {"ref": "bretmathyer/bcmf-visual-interactive", "kernel_id": "39898749"}, {"ref": "kolambekalpesh/binary-classification", "kernel_id": "39922987"}, {"ref": "xgboostftw/feature-eng-unsupervised-high-corr-features", "kernel_id": "39965731"}, {"ref": "shivamqr786/simple-catboost-for-machine-failure-predictions", "kernel_id": "39951060"}, {"ref": "dols1225/machine-failures-s3e17-0-94", "kernel_id": "39967189"}, {"ref": "crained/aws-autogluon-easily-train-a-model", "kernel_id": "40131444"}, {"ref": "crained/aws-autogluon-train-test-split", "kernel_id": "40123086"}, {"ref": "stautxie/machine-failure-prediction-baseline", "kernel_id": "40373448"}, {"ref": "cv13j0/machine-failures-gbdt-solutions", "kernel_id": "40071344"}, {"ref": "arnogils/playground-s03e17-daily-buildout-lgbm-first", "kernel_id": "40047794"}, {"ref": "andrewnuk/ps-s3e17-20230620-model-lvl2", "kernel_id": "40260863"}, {"ref": "andrewnuk/ps-s3e17-20230624-hypertuning-lvl2", "kernel_id": "40260384"}, {"ref": "andrewnuk/ps-s3e17-20230620-model-lvl3", "kernel_id": "40301467"}, {"ref": "andrewnuk/ps-s3e17-20230620-model-lvl1", "kernel_id": "40220730"}, {"ref": "andrewnuk/ps-s3e17-20230620-hypertuning-lvl1", "kernel_id": "40217968"}, {"ref": "asarthaks/machinefailure-ensemble-models-auc-0-97", "kernel_id": "40357107"}, {"ref": "docxian/ps-s3-e18-correlation-of-targets", "kernel_id": "40476243"}, {"ref": "datascientistsohail/machine-failures-se03-ep17", "kernel_id": "40150674"}, {"ref": "sinanozdemir/machine-failure-prediction-xgboost", "kernel_id": "40509974"}, {"ref": "cyborg123/random-experiments", "kernel_id": "40108923"}, {"ref": "babusarath05/machine-failure", "kernel_id": "40273481"}, {"ref": "daaadaaa/s3e17-machine-failures", "kernel_id": "40346491"}, {"ref": "siddharthkumarsah/s3e17-playground-solution-auc-0-96213", "kernel_id": "40265406"}, {"ref": "joebeachcapital/pss3e18-svc-model-submission", "kernel_id": "40493470"}, {"ref": "greenwizard/very-weird-solution", "kernel_id": "40388308"}, {"ref": "harshavardhanbabu/do-we-need-to-handle-imbalance", "kernel_id": "40075434"}, {"ref": "harshavardhanbabu/is-simple-the-best-lb-0-9773-catboost", "kernel_id": "40153744"}, {"ref": "harshavardhanbabu/optimize-weights-for-softvoting", "kernel_id": "40113098"}, {"ref": "harshavardhanbabu/autogluon-baseline", "kernel_id": "40169874"}, {"ref": "ved1104/classification-of-machine-failures-with-smote", "kernel_id": "40271345"}, {"ref": "ssarkar445/machinefailure-autoxgb", "kernel_id": "40421897"}, {"ref": "yoshifumimiya/s3e17-outlier", "kernel_id": "40292265"}, {"ref": "yoshifumimiya/s3e17-one-point-feature-engineering", "kernel_id": "40250642"}, {"ref": "averma111/pytorch-tabular-pss3e17", "kernel_id": "40374210"}, {"ref": "averma111/pytorch-widedeep-pss3e17", "kernel_id": "40400878"}, {"ref": "creaperlost/catboost-optuna-simple-guide", "kernel_id": "40124686"}, {"ref": "aiotsir/competition-binary-classification-of-machine-failu", "kernel_id": "40296756"}, {"ref": "acdundore/s3-e17-feat-eng-selection-ensemble", "kernel_id": "40200710"}, {"ref": "amarloni/pgs3-e17-klib", "kernel_id": "40265904"}, {"ref": "yashasvimisra/tps-june-23", "kernel_id": "40288238"}, {"ref": "sawsanshakir/notebook-machine-fail", "kernel_id": "40007441"}, {"ref": "mehrankazeminia/ps3e17-gaussiannb", "kernel_id": "40169762"}, {"ref": "akioonodera/for-practice-binary", "kernel_id": "40415929"}, {"ref": "kdmitrie/pgs318-the-tutorial-on-using-h2o-automl", "kernel_id": "40445369"}, {"ref": "gauthamupadhyaya/machine-failure-predicitons", "kernel_id": "40428719"}, {"ref": "ahmetyldrr/machine-failures-lgbmclassifier", "kernel_id": "40013205"}, {"ref": "lonewalker29/oversampling-neural-network-vs-random-forest", "kernel_id": "40010070"}, {"ref": "ardong/machine-failures-eda-baseline-xgb-optuna", "kernel_id": "40248382"}, {"ref": "shrishtivaish/machine-breakdowns", "kernel_id": "40112996"}, {"ref": "arindambaruah/can-we-predict-if-a-machine-will-undergo-failure", "kernel_id": "40214042"}, {"ref": "angellapark/certification-study-mission31-participation", "kernel_id": "40253866"}, {"ref": "jimmyyeung/ps3-17-machine-failure-catboost-top-21", "kernel_id": "40150607"}, {"ref": "rahulsmahajan/notebook7d986353bd", "kernel_id": "40418066"}, {"ref": "l0r1knl/sklearn-base-models-pss3e17", "kernel_id": "40237534"}, {"ref": "thiagomantuani/ps3e17-feature-selection-sfs-xgboost", "kernel_id": "40279341"}, {"ref": "robertmumford/feature-engineering-on-productid-prob-encoding", "kernel_id": "40337240"}, {"ref": "shivijaiswal/machine-failure", "kernel_id": "40009242"}, {"ref": "benfoglia/playground-3-17-machine-failure-classification", "kernel_id": "40025208"}, {"ref": "muhammadbilalhaneef/machine-failure-prediction-feature-eng-ann", "kernel_id": "40396909"}, {"ref": "ahmadarrafimoreno/notebook-buongiorno-playground-series-s3e17", "kernel_id": "40057722"}, {"ref": "jaga360/machine-failure-random-forest-baseline", "kernel_id": "40142416"}, {"ref": "jaga360/machine-failure-fastai", "kernel_id": "40357222"}, {"ref": "jaga360/machine-failure-ensemble-with-feature-engineering", "kernel_id": "40400288"}, {"ref": "jaga360/machine-failure-xgb-with-feature-engineering", "kernel_id": "40399264"}, {"ref": "siddharththakkar26/logistic-svc-xgboost-catboost-and-eda", "kernel_id": "40470059"}, {"ref": "thomasmeiner/machine-failures-automl-using-bluecast-blended", "kernel_id": "40412925"}, {"ref": "thomasmeiner/machine-failures-automl-using-bluecast", "kernel_id": "40412298"}, {"ref": "nicholashorsford/binary-classification-of-machine-failure-xgboost", "kernel_id": "40445114"}, {"ref": "harbhajansingh21/best-score-96-7-xgb-lgbm-cnn-automl-em", "kernel_id": "40097180"}, {"ref": "tolgaik/ps-s3-e17-catboost-pool-optuna-0-97675", "kernel_id": "40000580"}, {"ref": "nikhil1e9/machine-anomaly-detection", "kernel_id": "40134634"}, {"ref": "arjunbasandrai/machine-failure-prediction-lgbm-optuna", "kernel_id": "40436124"}, {"ref": "zhukovoleksiy/ps-s3e17-simple-eda-ensemble", "kernel_id": "40139960"}, {"ref": "danilsantiev/pipeline-with-custom-function", "kernel_id": "40121562"}, {"ref": "ikonuhov/2023-06-22-bin-clas-of-mach-fail", "kernel_id": "40280860"}, {"ref": "abdelrahmanalimo/machines-failure", "kernel_id": "40181984"}, {"ref": "jyotiprajapati98/binary-classification-for-machine-failure", "kernel_id": "40433107"}, {"ref": "eslamfouad/statistics-behind-machine-failure", "kernel_id": "40297506"}, {"ref": "jimgruman/machine-failure-in-r-with-automl", "kernel_id": "40247695"}, {"ref": "jimgruman/machine-failure-in-r-with-randomforest", "kernel_id": "40285985"}, {"ref": "jimgruman/machine-failure-in-r-with-embeddings", "kernel_id": "40174735"}, {"ref": "akiyukikouyama/feature-selection-and-voting-classification", "kernel_id": "40240380"}, {"ref": "kwkdhueda/rf-xgb-lgb", "kernel_id": "40144558"}, {"ref": "kalininvladislav/classic-eda", "kernel_id": "40354008"}, {"ref": "eryaww/ps3-e17-machine-failures-eda-1", "kernel_id": "40452508"}, {"ref": "ajaybabua/machine-failures-prediction-with-xgbclassifier", "kernel_id": "40203534"}, {"ref": "ajaybabua/predict-machine-failure-using-pipeline", "kernel_id": "40424566"}, {"ref": "enisezengin/binary-machine-failures-xgbclassifier", "kernel_id": "40391710"}, {"ref": "luckychitundu/machine-failure-prediction-tpg", "kernel_id": "40801923"}, {"ref": "andredrodrigues/simple-eda-xgb", "kernel_id": "40357213"}, {"ref": "brianhumecky2/binary-classification-of-machine-failure", "kernel_id": "40255558"}, {"ref": "piyushjoshi01/binary-classification-multiple-algorithm-and-eda", "kernel_id": "40062933"}, {"ref": "maverickss26/lb-0-97820-binary-classification-machine-failure", "kernel_id": "40284805"}, {"ref": "ceyhunsahin/ludwig-ai-base-model", "kernel_id": "40426795"}, {"ref": "khansoledhiraj/machine-failure", "kernel_id": "40836724"}, {"ref": "amyrmahdy/neural-network-classification-machine-failures", "kernel_id": "40269765"}, {"ref": "arghya123r/binary-classification-machine-failure", "kernel_id": "40264761"}, {"ref": "pythonafroz/eda-electrical-motor-fault-prediction", "kernel_id": "40303642"}, {"ref": "pythonafroz/electrical-motor-failures-s3-ep17", "kernel_id": "40446103"}, {"ref": "pythonafroz/s3-ep17-electrical-motor-failure", "kernel_id": "40343166"}, {"ref": "satyaprakashshukl/mach-failure-support-vector-classification", "kernel_id": "40347815"}, {"ref": "sagayaabinesh/binary-classification-of-machine-failure-xgboost", "kernel_id": "40080824"}, {"ref": "rm1000/top-40-solution-mean-ensembling", "kernel_id": "40037093"}, {"ref": "kimdove/machine-failure-with-pycaret", "kernel_id": "40415932"}, {"ref": "ravi20076/playgrounds3e18-eda-baseline", "kernel_id": "40456199"}, {"ref": "sujaykapadnis/pycaret", "kernel_id": "40105450"}, {"ref": "wimgovers/s3e17-target-encoding", "kernel_id": "40396323"}, {"ref": "lewiskiwonlee/ookbee57noteb295e6", "kernel_id": "40151997"}, {"ref": "lewiskiwonlee/notebook0d533a2c61", "kernel_id": "40149111"}, {"ref": "scodepy/binary-classification", "kernel_id": "40183103"}, {"ref": "serifoz/s3e17-xgboost-and-catboost", "kernel_id": "40013282"}, {"ref": "ehekatlact/ps3e17-eda-lgbm-japanese", "kernel_id": "40084212"}, {"ref": "suraj520/gradientboostingmachines-know-fit-infer", "kernel_id": "40417747"}, {"ref": "hemakarapu/binary-classification-machine-failures", "kernel_id": "40172828"}, {"ref": "annafabris/repeatedkfold-catboost", "kernel_id": "40458789"}, {"ref": "smruthiiii/machine-failure-classification-lgbm", "kernel_id": "40226240"}, {"ref": "smruthiiii/machine-failure-classification", "kernel_id": "40085857"}, {"ref": "danbraswell/identical-rows-except-for-machine-failure", "kernel_id": "40179125"}, {"ref": "melonpasta/tps-june-23-eda-tutorial", "kernel_id": "40288895"}, {"ref": "jominjae/machine-failure-lgbm-scale", "kernel_id": "40937721"}, {"ref": "iqmansingh/xgb-hyperparameter-tuning-notebook", "kernel_id": "40365273"}, {"ref": "bhavkaur/machine-failure-baseline-eda", "kernel_id": "40048638"}, {"ref": "ifeanyichukwunwobodo/predicting-machine-failure-flaml-tps03ep17", "kernel_id": "40335159"}, {"ref": "shivam2111/machine-failure", "kernel_id": "40004826"}, {"ref": "siddhvr/ps3e17-cb-lgbm-top-sub-ensemble", "kernel_id": "40438917"}, {"ref": "siddhvr/ps3e17-catboost-lightgbm-top-subs-ensemble", "kernel_id": "40395983"}, {"ref": "gorkemozer/binary-classification-of-machine-failures", "kernel_id": "40848102"}, {"ref": "halilbrahimhatun/machine-failure", "kernel_id": "40338040"}, {"ref": "jassersoualhia/machine-failure-simple-random-forest", "kernel_id": "40369786"}, {"ref": "harshit804/binary-classification-of-machine-failure-xgboost", "kernel_id": "40439069"}, {"ref": "rzatemizel/stacking-pipeline-inference", "kernel_id": "40424150"}, {"ref": "rzatemizel/flaml-with-sklearn-pipeline", "kernel_id": "40135269"}, {"ref": "patriciabrezeanu/svm-classification", "kernel_id": "40352411"}, {"ref": "leotom/playground-s3e17", "kernel_id": "40097223"}, {"ref": "brpuneet898/top-10-binary-classification-machine-failures", "kernel_id": "40326711"}, {"ref": "denismunene/machine-failure-prediction-xgboost", "kernel_id": "40112150"}, {"ref": "debarghasen/binary-machine-failure-with-log-reg", "kernel_id": "40051972"}, {"ref": "kenjif/ps-3-17-auto-ml-model-comparison", "kernel_id": "40074563"}, {"ref": "kenjif/ps-3-17-auto-ml-blend-top-5-model", "kernel_id": "40075206"}, {"ref": "kenjif/ps-3-17-auto-ml-blend-top-2-model", "kernel_id": "40075863"}, {"ref": "kenjif/ps-3-17-gbr-hyperparameter-tuning", "kernel_id": "40170154"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "thiagolimasantos/ps3-e17-eda-autogluon-models-lb-0-97882-top-6", "kernel_id": "40018054"}, {"ref": "amitmalhotra03/decision-tree-logistic-xgb", "kernel_id": "40187813"}, {"ref": "rickkmr/machine-faulure", "kernel_id": "40987872"}, {"ref": "onepabs/playground-series-s3-e17", "kernel_id": "40330956"}, {"ref": "dumanmesut/machine-failures-classification-lgbm-xgb", "kernel_id": "40339785"}, {"ref": "nataliekalina/overview-of-resampling-techniques-ps-3-17", "kernel_id": "40029859"}, {"ref": "hritwijkamble/machinefail-comp", "kernel_id": "40078299"}, {"ref": "pariyawan02/begginer-friendly-notebook", "kernel_id": "40293342"}, {"ref": "jmviji/ps3e17-lgbm-xgb-catboost", "kernel_id": "40255498"}, {"ref": "mirkosnguyn/binary-classification-lgbm", "kernel_id": "40000764"}, {"ref": "manishkumar7432698/optuna-s-power-binary-classification", "kernel_id": "40203937"}, {"ref": "abhay06102003/notebook5548611aba", "kernel_id": "40055291"}, {"ref": "akhiljethwa/machine-failures-ensemble-ann-model", "kernel_id": "40392920"}, {"ref": "sarahserafini/s3e17-with-simple-neural-network", "kernel_id": "40328227"}, {"ref": "abhijeetsinghmeena/ps3-e17-machine-failure-notebook-1-0", "kernel_id": "40317765"}, {"ref": "waalbannyantudre/ps3-e17-machine-failures-catboost-top-6", "kernel_id": "40446554"}, {"ref": "ashx010/ps3e17-eda-feat-eng-ml-model-score-0-967", "kernel_id": "40234747"}, {"ref": "miladziekanowska/machine-failure-eda-and-modeling", "kernel_id": "40063242"}, {"ref": "eli2022/binary-classification-of-machine-failures", "kernel_id": "40410844"}, {"ref": "ishannarwal/notebooke8bc7b299d", "kernel_id": "40020863"}, {"ref": "pasindusandakan/binary-classification-of-machine-failures", "kernel_id": "40315658"}, {"ref": "dekomorisanae09/autoencoding-machine-failures", "kernel_id": "40078697"}, {"ref": "krzysztofkulasik/machine-failure-competition-arisc-project", "kernel_id": "40404230"}, {"ref": "igabiegasiewicz/eda-randomforestclassifier-95", "kernel_id": "40086794"}, {"ref": "marialusa/binary-classification-of-machine-failures-in-r", "kernel_id": "40252942"}, {"ref": "gaaaaaaab/machine-failures-optuna-rf", "kernel_id": "40003006"}, {"ref": "vijayjoshi17/failure-analysis-eda-gaussiannb", "kernel_id": "40249365"}, {"ref": "rohithreddy0920/binary-classification-of-machine-failures-ann", "kernel_id": "40043292"}, {"ref": "sanjanasatish68l/stacked-ensemble-model-xgb-nn-rf", "kernel_id": "40074979"}, {"ref": "ashishjagdishsharma/predicting-machine-failure", "kernel_id": "40038538"}, {"ref": "irfanarisani/machine-failure-prediction", "kernel_id": "40044405"}, {"ref": "ragaa5/binary-classifiction-machine-failures", "kernel_id": "40206550"}, {"ref": "tefamod22/machine-failures-with-perceptron-with-acc-99", "kernel_id": "40425400"}, {"ref": "brahimmohamed/simple-ann", "kernel_id": "40096579"}, {"ref": "eishkaran/lb-0-971-eda-lgbm", "kernel_id": "40077092"}, {"ref": "manteemike/pgs-s3-e17-machine-failure-79th-place-catboost", "kernel_id": "40065411"}, {"ref": "balachfarhad/binary-classification-of-machine-failures", "kernel_id": "40387590"}, {"ref": "vstacknocopyright/predicting-machine-failures-with-random-forest-clf", "kernel_id": "40412730"}, {"ref": "hsuweiho/notebookca67442cef", "kernel_id": "40316091"}, {"ref": "hsuweiho/notebookd7e7d9cafe", "kernel_id": "40286144"}, {"ref": "debamritapaul/binary-classification-of-machine-failures", "kernel_id": "40258328"}, {"ref": "kamranjameel11/kamran-jameel-project", "kernel_id": "40335045"}, {"ref": "adschmidt/machine-failure", "kernel_id": "40242035"}, {"ref": "harshapondhugula/machine-failures-s3-ep17", "kernel_id": "40146031"}, {"ref": "mindoflogicalfire/machinefailure", "kernel_id": "40057827"}, {"ref": "maxagrafa/classification-of-machine-failures", "kernel_id": "40063246"}, {"ref": "ahmedali74/machine-failure", "kernel_id": "40255074"}, {"ref": "oostg0t/lgbm-dart-tabnet-catboost-fe-based-on-physics", "kernel_id": "40462314"}, {"ref": "whoasked0/binary-classification-of-machine-failures", "kernel_id": "40171536"}, {"ref": "shenhsunliao/2023-6-16-machine", "kernel_id": "40042203"}, {"ref": "adityabhadauria/binary-classification-using-catboost-0-96", "kernel_id": "40229933"}, {"ref": "nileshthonte/binary-classification-of-machine-failures", "kernel_id": "40142629"}, {"ref": "amity4544/machine-failure-classification", "kernel_id": "40593229"}, {"ref": "josebejarano/malfunction-detection-neural-network-pytorch", "kernel_id": "40410056"}, {"ref": "atuljo/simple-prediction-using-lgbm", "kernel_id": "40260978"}, {"ref": "kiankii/binary-classification-of-machine-failures", "kernel_id": "40086292"}, {"ref": "taylordaugherty/machine-failure-competition-2023-6-19", "kernel_id": "40161491"}, {"ref": "andrewnugrah/binary-classification-of-machine-failures-projects", "kernel_id": "40544669"}, {"ref": "coinshot/machine-failure-model-ipynb", "kernel_id": "40403360"}, {"ref": "chidambaramk/machine-failures", "kernel_id": "40770640"}, {"ref": "stepantikhonov/catboost-machine-failures", "kernel_id": "40287436"}, {"ref": "laparicio/all-you-need-is-feature-engineering", "kernel_id": "40211731"}, {"ref": "laparicio/machine-failure-votingclf", "kernel_id": "40003846"}, {"ref": "shashanknecrothapa/simple-submission-logistic-regression", "kernel_id": "40213580"}, {"ref": "pandeyg0811/data-oversampling-vs-model-advancement", "kernel_id": "40031442"}, {"ref": "sanprofnext/binary-machine-learning-ensemble-classifier", "kernel_id": "40124914"}, {"ref": "weichens/ps3e17-study-adjustment-process", "kernel_id": "40450226"}, {"ref": "owais12345/binary-machine-failures-randomforest-kfold", "kernel_id": "40390689"}, {"ref": "choshark/20230622-practice-2-xgboost-tuning", "kernel_id": "40259835"}, {"ref": "kienpham899/randomforest-xgboost-practice-on-machinefailures", "kernel_id": "40422605"}, {"ref": "nataliaxdd/1-binary-classification-of-machine-failures", "kernel_id": "40070223"}, {"ref": "danishbaig/danish-baig-project", "kernel_id": "40252242"}, {"ref": "alihaiders/machine-failure-random-forest-baseline", "kernel_id": "40386494"}, {"ref": "sviatoslavmatviiuk/notebooke52862bbdb", "kernel_id": "40119186"}, {"ref": "akshayishita/notebook9b2e57b8c2", "kernel_id": "40409259"}, {"ref": "tusharnarkhede/iris-species", "kernel_id": "40380823"}, {"ref": "efecanxrd/predicting-machine-failure-xgboost", "kernel_id": "40316715"}, {"ref": "muhammadfahad43828/muhammad-fahad-project", "kernel_id": "40276808"}, {"ref": "mansoorali7467/machine-failure-prediction-mansoor", "kernel_id": "40400527"}, {"ref": "kevinodne/notebooke70ceca713", "kernel_id": "40590771"}, {"ref": "geraldnyeo/machine-failure", "kernel_id": "41177676"}, {"ref": "derekxue/machinefailurefastai", "kernel_id": "41343804"}, {"ref": "deepaktripathiuk/eda-featureengineering-prediction", "kernel_id": "41038932"}, {"ref": "timothys5/playground-s3e17-classimbalance", "kernel_id": "41810360"}, {"ref": "matheuslopesvivas/binary-classification-of-machine-failures-pytorch", "kernel_id": "41467255"}, {"ref": "swathiunnikrishnan/classification-of-machine-failures-accuracy-1-00", "kernel_id": "41088729"}, {"ref": "anuppainuly/machine-failure", "kernel_id": "41774070"}, {"ref": "jiaowoguanren/binary-classification-of-machine-failures-resmlp", "kernel_id": "41270492"}, {"ref": "kkuri00/s3e17-simple-eda", "kernel_id": "41608865"}, {"ref": "nguyenhoanganhk17hcm/assignment-group6-ipynb", "kernel_id": "41129822"}, {"ref": "mohmoataz/machine-failure-pred", "kernel_id": "41844732"}, {"ref": "ceyhunc/xgboost-smote-hyperopt-0-95-acc", "kernel_id": "41042644"}, {"ref": "eduardomarinho44/knn-machine-failure", "kernel_id": "41869286"}, {"ref": "abhikalpsrivastava15/simple-kaggle-binaryclassificationofmachinefailure", "kernel_id": "41079769"}, {"ref": "hagarmohamed6602/task-3", "kernel_id": "41147757"}, {"ref": "ccjulia/20230813-l7-machine-failure-prediction", "kernel_id": "42042105"}, {"ref": "aiinaction2020/machine-failure-prediction", "kernel_id": "42496514"}, {"ref": "iw2046/ai-bootcamp-exercise", "kernel_id": "42173501"}, {"ref": "gui230/binary-classification-of-machine-failures", "kernel_id": "42008021"}, {"ref": "arpitppatel/advance-hyperparameter-tuning", "kernel_id": "42113421"}, {"ref": "kotukw/machine-failure-prediction-using-xgboost", "kernel_id": "42118457"}, {"ref": "cengizhanucan/binaryfailure", "kernel_id": "42956282"}, {"ref": "sinanbavli04/machine-failure-prediction", "kernel_id": "42598894"}, {"ref": "icliu30/xgboost-binary-machine-failure-eda-prediction", "kernel_id": "42575139"}, {"ref": "singhayush16/binary-classification-of-machine-failures", "kernel_id": "42320876"}, {"ref": "andreynaligatskidias/binary-classification-using-deep-learning", "kernel_id": "42666997"}, {"ref": "yazeedalsahouri03/machine-failures-prediction", "kernel_id": "42363810"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "serhiikharchuk/binary-classification-using-deep-learning", "kernel_id": "42717569"}, {"ref": "deltax/notebookcd2d9c7b38", "kernel_id": "43688444"}, {"ref": "andrealunch/svm-random-forest-and-nn-with-sklearn-pytorch", "kernel_id": "43071059"}, {"ref": "ompawar9174/machine-failures-using-random-forest", "kernel_id": "43621424"}, {"ref": "divyanshnautiyal/contest-ipynb", "kernel_id": "43829416"}, {"ref": "avinashhk/binaryclassification", "kernel_id": "43829364"}, {"ref": "orianachavez/binary-classification-of-machine-failures", "kernel_id": "43039411"}, {"ref": "hulk0097/ensemblelearning-cb-xgboost-lgbm-brf-optuna", "kernel_id": "45241775"}, {"ref": "oyebamijimicheal/machine-failure-pred-eda-smote-catboost", "kernel_id": "45877026"}, {"ref": "sidde95/binary-classification-randomforestclassifier", "kernel_id": "46144346"}, {"ref": "roodyphilogene/notebookc9291aa269", "kernel_id": "46054485"}, {"ref": "haveliaumang/notebook9d67447af1", "kernel_id": "47404769"}, {"ref": "docxian/ps-s4-e01-bank-churn-eda-correlation-glm-gbm", "kernel_id": "48817293"}, {"ref": "eduardomarinho44/binary-classification-of-machine-failure", "kernel_id": "49821531"}, {"ref": "pritishpriyam4/machine-logistic", "kernel_id": "49796445"}, {"ref": "chhavideora11/notebook931156fbd6", "kernel_id": "49898230"}, {"ref": "rijuljain2003/rijul-logisticregression", "kernel_id": "49575364"}, {"ref": "nishthakumari20/xgb-classifier-hyperparameters-tuning-notebook", "kernel_id": "49530759"}, {"ref": "karanchhabra2003/notebook5228b05bf7", "kernel_id": "49924186"}, {"ref": "mahendra301/machine-failure-prediction", "kernel_id": "50686451"}, {"ref": "mrrajsingh/binary-classification-of-machine-failures-using-lr", "kernel_id": "50513894"}, {"ref": "sveachawla/binary-classification", "kernel_id": "50686545"}, {"ref": "arshiyakishore/binary-classification-machine-failure", "kernel_id": "50103032"}, {"ref": "praneykalra/binary-classification-machine-failure", "kernel_id": "50655483"}, {"ref": "raghav723/machine-failure-code-using-binary-classification", "kernel_id": "50854999"}, {"ref": "sehajbirsinghbains/binary-classification", "kernel_id": "50470653"}, {"ref": "priyalsingla/binary-classification-machinefailure", "kernel_id": "50592558"}, {"ref": "jayantdon/binaryclassification", "kernel_id": "50791894"}, {"ref": "eakanshagarwal24/binary-classification-machine-failure", "kernel_id": "50034186"}, {"ref": "aarushijuneja07/binary-classification-notebook", "kernel_id": "50939245"}, {"ref": "bhavya4400/logistic-regression-notebook-bhavya", "kernel_id": "50775714"}, {"ref": "karamalhanatleh/predict-machine-failures-99-99", "kernel_id": "51036983"}, {"ref": "akinteyeadesewa/machine-failure", "kernel_id": "51822226"}, {"ref": "renadahmed/binary-classification-of-machine-failures-competi", "kernel_id": "51750316"}, {"ref": "iosaman/binaryclassification-aman", "kernel_id": "51478561"}, {"ref": "nitleenk/machine-failures", "kernel_id": "51510299"}, {"ref": "pulkittarora/binary-classification-machine-failure", "kernel_id": "51623008"}, {"ref": "raghavdargan/binary-classification-of-machine-failures", "kernel_id": "51203774"}, {"ref": "joyygoswami/machine-failure", "kernel_id": "51534304"}, {"ref": "puneetgupta24/binary-classification-of-machine-failures", "kernel_id": "51911361"}, {"ref": "hagarmohamed6602/classification", "kernel_id": "52221430"}, {"ref": "adhamad0/machine-failure", "kernel_id": "52166501"}, {"ref": "kadirbasrikilci/08-04", "kernel_id": "54256478"}, {"ref": "shwetakk/notebookb848230a20", "kernel_id": "54685322"}, {"ref": "vineetmehar/binary-classification-of-machine-failure", "kernel_id": "54260160"}, {"ref": "cardata/machine-failure-data-analysis", "kernel_id": "56845908"}, {"ref": "eslamsabryelsisi/different-binary-classifation", "kernel_id": "56591021"}, {"ref": "jesusdeleon19/binary-classification-of-machine-failures", "kernel_id": "59289565"}, {"ref": "fewqffjjjscq/notebookaddb8875b9", "kernel_id": "59723625"}, {"ref": "fewqffjjjscq/notebookc76c46c9c6", "kernel_id": "59544919"}, {"ref": "arielbar/hw2-solution", "kernel_id": "63592908"}, {"ref": "omkarchoulwar/classification-for-machine-failure", "kernel_id": "64142872"}, {"ref": "mhamedadnan/classification-of-machine-failure", "kernel_id": "64510649"}, {"ref": "suhailaaboubakr/machine-failure-classification", "kernel_id": "67108599"}, {"ref": "irfanarisani/simple-accelerated-machine-learning", "kernel_id": "69163012"}, {"ref": "sathishgsmss/predictive-maintanence-of-machine-failure", "kernel_id": "73985474"}, {"ref": "arishp/nit-predictive-maintenance-of-machine-failure", "kernel_id": "75957319"}, {"ref": "ivarvb/dcc25te1", "kernel_id": "83166874"}, {"ref": "esaret/machine-failures-project", "kernel_id": "87960764"}, {"ref": "zunalounge/150922", "kernel_id": "100754944"}, {"ref": "biswadeep29/anomaly1", "kernel_id": "106799622"}, {"ref": "omeraydin1/machine-failure-classification", "kernel_id": "115337887"}, {"ref": "serdaronal/binary-classification-of-machine-failurine", "kernel_id": "119186224"}]}
{"competition_id": "53377", "kernels": [{"ref": "kdmitrie/pgs318-simple-use-of-optuna-algorithms-blending", "kernel_id": "38574587"}, {"ref": "kdmitrie/imputer-eda-models-test-with-optuna-blending", "kernel_id": "38502929"}, {"ref": "guodptech/test-share", "kernel_id": "38577293"}, {"ref": "ricktankard/playground-series-s3e18-xgboost-model", "kernel_id": "40779696"}, {"ref": "christph/ps3e18-r-tidymodels-starter", "kernel_id": "40572863"}, {"ref": "aerdem4/playground-s3e18-lofo-feature-importance", "kernel_id": "40456180"}, {"ref": "shams1/playground", "kernel_id": "40726591"}, {"ref": "andrewnuk/s3e18-eda", "kernel_id": "40485149"}, {"ref": "l0glikelihood/pyboost-baseline", "kernel_id": "40510073"}, {"ref": "docxian/ps-s3-e18-correlation-of-targets", "kernel_id": "40476243"}, {"ref": "sinanozdemir/enzyme-substrate-prediction-xgboost", "kernel_id": "40740658"}, {"ref": "oscarm524/ps-s3-ep18-eda-modeling-submission", "kernel_id": "40447312"}, {"ref": "daaadaaa/s3e18-enzyme", "kernel_id": "40521580"}, {"ref": "kimtaehun/multi-label-classification-with-complete-eda", "kernel_id": "40448408"}, {"ref": "joebeachcapital/pss3e18-svc-model-submission", "kernel_id": "40493470"}, {"ref": "joebeachcapital/pss3e18-eda-models-ensemble-submission", "kernel_id": "40447472"}, {"ref": "chiranjeevisrinivas/playground-series-s3e18", "kernel_id": "40646702"}, {"ref": "harshavardhanbabu/eda-baseline-rf-catboost-feature-elimination", "kernel_id": "40464753"}, {"ref": "harshavardhanbabu/blending-4-models-no-data-leakage-lb-0-65039", "kernel_id": "40711631"}, {"ref": "harshavardhanbabu/blending-rf-cat-xgb-lgbm-lb-0-64692", "kernel_id": "40643817"}, {"ref": "harshavardhanbabu/tuned-rf-model-beating-rf-benchmark-lb-0-64528", "kernel_id": "40616764"}, {"ref": "yoshifumimiya/s3e18-default-check", "kernel_id": "40464164"}, {"ref": "stpeteishii/pss3-ep18-viualize-importance-and-predict", "kernel_id": "40508600"}, {"ref": "achoum666/with-tf-decision-forests", "kernel_id": "40649931"}, {"ref": "pranaii/s3-e18-eda-wrapper-based-feature-selection", "kernel_id": "40882325"}, {"ref": "darkmatter2222/s3e18-tensorflow-peer-review-please", "kernel_id": "40513625"}, {"ref": "anzarwani2/linear-regression-bagging-only-ml-modelling", "kernel_id": "40825457"}, {"ref": "mpwolke/enzyme-promiscuity-almost-make-sense", "kernel_id": "40451326"}, {"ref": "mpwolke/enzymes-with-feyn-qlattice", "kernel_id": "40520741"}, {"ref": "syerramilli/ps3e18-multi-label-feed-forward-nn", "kernel_id": "40465994"}, {"ref": "syerramilli/ps3e18-multilabel-catboost-optuna", "kernel_id": "40482213"}, {"ref": "syerramilli/ps3e18-tuning-a-random-forest-though-optuna", "kernel_id": "40663729"}, {"ref": "syerramilli/ps3e18-pytorch-multi-label-fnn", "kernel_id": "40602243"}, {"ref": "syerramilli/ps3e18-multilabel-xgboost-optuna", "kernel_id": "40659464"}, {"ref": "syerramilli/ps3e18-multiple-lightgbm-models-optuna", "kernel_id": "40799301"}, {"ref": "deshram/multi-label-classification-pss3e18", "kernel_id": "40473969"}, {"ref": "transhumanistx/ensemble-nns-gbc-ec", "kernel_id": "40593888"}, {"ref": "averma111/autogluon-pss3e18", "kernel_id": "40522017"}, {"ref": "averma111/pytorch-pss3e18-vanilla", "kernel_id": "40559982"}, {"ref": "averma111/pss3e18-widedeep-eda", "kernel_id": "40449850"}, {"ref": "averma111/pss3e18-catboost-optuna", "kernel_id": "40637436"}, {"ref": "averma111/sparkml-pss3e18", "kernel_id": "40632704"}, {"ref": "averma111/pss3e18-xgboost-lgbm-randomforest", "kernel_id": "40701225"}, {"ref": "dongjun819/pgs3-18-eda-basic-ensemble", "kernel_id": "40448492"}, {"ref": "nicobarea/xgb-lgbm-mars-with-tidymodels", "kernel_id": "40599605"}, {"ref": "killershoaib/pse18-multilabel-baseline-xgboost", "kernel_id": "40448266"}, {"ref": "jbomitchell/random-forest-ec-classification", "kernel_id": "40580878"}, {"ref": "amarloni/pgs3-e18-multiabel-classification", "kernel_id": "40456210"}, {"ref": "matthewjansen/enzyme-substrate-eda-ensemble", "kernel_id": "40583949"}, {"ref": "shivanshuman/one-stop-eda", "kernel_id": "40468427"}, {"ref": "mehrankazeminia/ps3e18-gaussiannb", "kernel_id": "40752272"}, {"ref": "akioonodera/ps-3-18-lgbm-bin", "kernel_id": "40447360"}, {"ref": "kdmitrie/pgs324-the-tutorial-on-using-autogluon", "kernel_id": "40551346"}, {"ref": "kdmitrie/pgs318-combiner", "kernel_id": "40553164"}, {"ref": "kdmitrie/pgs318-the-tutorial-on-using-h2o-automl", "kernel_id": "40445369"}, {"ref": "nivedithavudayagiri/enzyme-eda-ensemble-multilabel-classification", "kernel_id": "40449012"}, {"ref": "nivedithavudayagiri/enzyme-classifier-chaining", "kernel_id": "40600274"}, {"ref": "nivedithavudayagiri/enzyme-weighted-voting", "kernel_id": "40704018"}, {"ref": "aakashjoshi123/enzyme-substrate", "kernel_id": "40452708"}, {"ref": "lonewalker29/neural-network-pytorch-s3e18-enzyme-subs", "kernel_id": "40465925"}, {"ref": "arindambaruah/which-variables-can-help-understand-enzymology", "kernel_id": "40590937"}, {"ref": "jimmyyeung/ps3-18-enzyme-eda-easy-ensemble", "kernel_id": "40497318"}, {"ref": "porrecasimone/s3e18-eda-data-preparation-xgboost", "kernel_id": "40885524"}, {"ref": "sharifulprince/overfit-champion-741a40", "kernel_id": "40654545"}, {"ref": "maximeperez/enzymeboost", "kernel_id": "40581234"}, {"ref": "maximeperez/enzymeboostboost", "kernel_id": "40597051"}, {"ref": "maximeperez/eda-norm-dim-reduc-class-weight", "kernel_id": "40620105"}, {"ref": "maximeperez/30-seconds-run", "kernel_id": "40829360"}, {"ref": "shivijaiswal/explore-multi-class-label", "kernel_id": "40651283"}, {"ref": "yeoyunsianggeremie/s3e18-pca-eda-catboost-baseline", "kernel_id": "40616900"}, {"ref": "yeoyunsianggeremie/s3e18-11th-place-solution", "kernel_id": "40448337"}, {"ref": "tracyporter/play-3-18-tf", "kernel_id": "40473640"}, {"ref": "tracyporter/play-3-18-tf-class-weights", "kernel_id": "40481883"}, {"ref": "suranjandas1990/ps3e18-eda", "kernel_id": "40659721"}, {"ref": "reymaster/ps3-18-ensemble-baseline-enzyme-classification", "kernel_id": "40588040"}, {"ref": "reymaster/ps3-18-xgboost-w-aux-vars", "kernel_id": "40448765"}, {"ref": "prajeshsanghvi/explore-multi-label-classification-with-an-enzyme", "kernel_id": "40991733"}, {"ref": "satishpb/multilabel-enzyme-substrate-classification", "kernel_id": "40467797"}, {"ref": "thomasmeiner/enzyme-classification-bluecast-automl-baseline", "kernel_id": "40478095"}, {"ref": "thomasmeiner/enzyme-classification-bluecast-automl-advanced", "kernel_id": "40479117"}, {"ref": "thomasmeiner/enzyme-classification-bluecast-w-catboost", "kernel_id": "40491342"}, {"ref": "thomasmeiner/enzyme-classificationprobaboost-base", "kernel_id": "40490919"}, {"ref": "thomasmeiner/enzyme-class-bluecast-eda-automl-multimodel", "kernel_id": "40499774"}, {"ref": "harbhajansingh21/multilabel-classification", "kernel_id": "40671604"}, {"ref": "shlezinger/enzyme-substrate", "kernel_id": "40845777"}, {"ref": "nikhil1e9/enzyme-substrate-multi-label", "kernel_id": "40598920"}, {"ref": "arjunbasandrai/enzyme-substrate-eda-lgbm-cat-gb-ensemble", "kernel_id": "40508871"}, {"ref": "arjunbasandrai/lgbm-catboost-xgboost-weighted-ensemble-optuna", "kernel_id": "40465035"}, {"ref": "arvindh22/enzyme-substrate-multioutput-classifier-models", "kernel_id": "40822589"}, {"ref": "lovinggirls/create-folds-for-enzyme-substrate", "kernel_id": "40467561"}, {"ref": "raufie/enzyme-substrate-playground-torch-63", "kernel_id": "40698630"}, {"ref": "zhukovoleksiy/ps-s3e18-eda-ensembles-tabpfn", "kernel_id": "40451951"}, {"ref": "saugatkafley/pss3e18-sweetviz-skewness-removal", "kernel_id": "40458917"}, {"ref": "ramjasmaurya/binaryrelevance-multilabelclassifiy-lb-0-63919", "kernel_id": "40573997"}, {"ref": "collinsakal/enzyme-classification-baseline-submission", "kernel_id": "40447485"}, {"ref": "evancallaghan/neural-networks-mlc-using-tensorflow", "kernel_id": "40449369"}, {"ref": "chingiznurzhanov/ensemble-ml-pipeline-bagging-0-65557", "kernel_id": "40603772"}, {"ref": "yasinnaal/enzyme-substrate-playground-simple", "kernel_id": "40664750"}, {"ref": "ikonuhov/score-0-63-rus-xgb-lgbm-multi-class-predict", "kernel_id": "40569097"}, {"ref": "loki4514/enzyme-substrate-generic-algorithms", "kernel_id": "40650389"}, {"ref": "khushiipatni/enzyme-multi-label-classification-dt-tfdf", "kernel_id": "40549820"}, {"ref": "thomasmann111111/ps3e18-eda", "kernel_id": "40887689"}, {"ref": "georgedoukas/play-18-23-one-vs-rest-manualy-tuned-classifiers", "kernel_id": "40458816"}, {"ref": "ritzig/multi-label-using-imblearn-stacking", "kernel_id": "40619677"}, {"ref": "benidictusgalihmp/ps3e18-xgboost", "kernel_id": "40521357"}, {"ref": "jimgruman/enzyme-substrate", "kernel_id": "40482871"}, {"ref": "akiyukikouyama/ps-s3e18-eda-with-original-data-and-build-model", "kernel_id": "40449892"}, {"ref": "jocelyndumlao/predicting-binary-targets-ec1-and-ec2", "kernel_id": "40593396"}, {"ref": "onurtuncaybal/xgboost-svm-and-random-forests-with-pca-in-r", "kernel_id": "40474282"}, {"ref": "tetsutani/ps3e18-eda-ensemble-ml-pipeline-binarypredictict", "kernel_id": "40467565"}, {"ref": "shubhamgupta012/season-3-episode-18", "kernel_id": "40617347"}, {"ref": "jakublipiski/ps3e18", "kernel_id": "40761185"}, {"ref": "ahana09/ps-s3e18-tried-pycaret-first-time", "kernel_id": "40733955"}, {"ref": "mohamedtahaouf/enzyme-substrate-dataset-tree", "kernel_id": "40624360"}, {"ref": "mohamedtahaouf/enzyme-substrate-dataset", "kernel_id": "40573269"}, {"ref": "piyushjoshi01/s3e18-multi-label-classification", "kernel_id": "40787157"}, {"ref": "piyushjoshi01/s3e18-2nd-try", "kernel_id": "40858449"}, {"ref": "maverickss26/lb-0-6581-enzyme-substrate-dataset", "kernel_id": "40656956"}, {"ref": "ceyhunsahin/ludwig-base-model", "kernel_id": "40447896"}, {"ref": "gusthema/multi-label-with-tf-decision-forests", "kernel_id": "40658505"}, {"ref": "ridamahmood005/multi-label-classification-baseline-ova", "kernel_id": "40894444"}, {"ref": "ambrosm/pss3e18-eda-which-makes-sense", "kernel_id": "40507212"}, {"ref": "aditya9790/ps18s3-eda-baseline", "kernel_id": "40482177"}, {"ref": "barbagrande007/bbg007-s3e18-enzymes", "kernel_id": "40457116"}, {"ref": "meisa0/s3e18-target-encoding-lb-0-65947", "kernel_id": "40778347"}, {"ref": "satyaprakashshukl/boost-classifier-model", "kernel_id": "40708050"}, {"ref": "satyaprakashshukl/ps-s18-pycaret-classification", "kernel_id": "40651953"}, {"ref": "satyaprakashshukl/bias-var-balance-imbalanced-target-dataset", "kernel_id": "40601308"}, {"ref": "satyaprakashshukl/xgboost-binary-classifier", "kernel_id": "40613938"}, {"ref": "satyaprakashshukl/simple-eda-s-18-enzyme-substrate-dataset", "kernel_id": "40450057"}, {"ref": "satyaprakashshukl/neural-network-esd-series-3-e-18", "kernel_id": "40550068"}, {"ref": "markusdarkus/0-66-russia-forward", "kernel_id": "40815772"}, {"ref": "rm1000/simple-logistic-regression", "kernel_id": "40512833"}, {"ref": "ravi20076/playgrounds3e18-eda-baseline", "kernel_id": "40456199"}, {"ref": "thhibi/playground", "kernel_id": "40618588"}, {"ref": "sujaykapadnis/ps-s3-episode-18", "kernel_id": "40682475"}, {"ref": "sujaykapadnis/episode-18-eda", "kernel_id": "40594594"}, {"ref": "acchiko/comparison-of-distribution-for-playground-s3e18", "kernel_id": "40532124"}, {"ref": "anurag629/enzyme-classification-deep-learning", "kernel_id": "40848979"}, {"ref": "lusfernandotorres/s03e18-eda-votingclassifier-optuna", "kernel_id": "40503099"}, {"ref": "lusfernandotorres/s03e18-eda-votingclassifier-optuna-pca", "kernel_id": "40669870"}, {"ref": "madhava20217/xgboost", "kernel_id": "40994762"}, {"ref": "klyushnik/multi-normal", "kernel_id": "40471129"}, {"ref": "adityarawat0701/xgboost-multilabel-classification-bayesian-opt", "kernel_id": "40623567"}, {"ref": "phanendrasairam/enzyme-substrate-s3e18", "kernel_id": "40690910"}, {"ref": "lukabarbakadze/multilabel-classification-challange", "kernel_id": "40630762"}, {"ref": "strategos2/playground-series-season-3-episode-18", "kernel_id": "40468812"}, {"ref": "yogesh239/multi-label-classification-adab-catb-gb-rfc", "kernel_id": "40453642"}, {"ref": "suraj520/pss3e18-stacking-classifier-optuna-submission", "kernel_id": "40455299"}, {"ref": "sjagkoo7/multi-label-classification-enzyme-dataset", "kernel_id": "40525600"}, {"ref": "smruthiiii/model-comparison-predictions-enzyme", "kernel_id": "40547437"}, {"ref": "pasqualemar/s3ep18-eda-baseline-ensembling", "kernel_id": "40456034"}, {"ref": "iqmansingh/enzyme-classification-baseline", "kernel_id": "40455845"}, {"ref": "onurkoc83/s3e18-cv-0-6864-public-score-0-6467", "kernel_id": "40582730"}, {"ref": "onurkoc83/binary-relevance", "kernel_id": "40869988"}, {"ref": "onurkoc83/overfit-champion", "kernel_id": "40645707"}, {"ref": "onurkoc83/s3e18-solution-for-overfitting-public-0-64785", "kernel_id": "40599883"}, {"ref": "onurkoc83/xgboost-and-lgbm-cv-score-0-688-public-0-646", "kernel_id": "40608275"}, {"ref": "onurkoc83/classifier-chain-binary-relevance", "kernel_id": "40842485"}, {"ref": "onurkoc83/without-data-leakage", "kernel_id": "40736306"}, {"ref": "ahmad1993/eda-ml", "kernel_id": "40695089"}, {"ref": "muhannadmansour/eda-classification-with-an-enzyme-substrate", "kernel_id": "40636462"}, {"ref": "swapnilchowdhury/ps3e18-eda-gridsearchcv-lightgbmc-0-64204", "kernel_id": "40499738"}, {"ref": "leotom/playground-s3e18-4", "kernel_id": "40618271"}, {"ref": "suvammistry/ps-s3e18-adaboostclassifier-nearestcentroid", "kernel_id": "40454761"}, {"ref": "jaygun84/ps3e18-tsne-features", "kernel_id": "40639314"}, {"ref": "jaygun84/ps3e18-borutapy-lgbm", "kernel_id": "40530289"}, {"ref": "jaygun84/ps3e18-featureenginering-stacking", "kernel_id": "40575376"}, {"ref": "jaygun84/ps3e18-multi-label-classification", "kernel_id": "40451273"}, {"ref": "denismunene/multilabel-classification-using-ensemble-learning", "kernel_id": "40578380"}, {"ref": "san2deep/begineer-code-ann", "kernel_id": "40674387"}, {"ref": "san2deep/beginner-code-random-forest", "kernel_id": "40489453"}, {"ref": "iqbalsyahakbar/ps3e18-eda-and-modelling-for-starters", "kernel_id": "40448898"}, {"ref": "yashoza12/auto-sklearn-multilabel-classification-enzyme", "kernel_id": "40945850"}, {"ref": "priyanshu594/enzyme-substrate-eda-submission", "kernel_id": "40473908"}, {"ref": "mattop/playground-series-s3-e18-eda-tsne", "kernel_id": "40449506"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "thiagolimasantos/ps-s3-e18-eda-essemble-flaml-aws-autogluon", "kernel_id": "40589365"}, {"ref": "onepabs/ps3e18-eda-ensemble-adasyn", "kernel_id": "40489017"}, {"ref": "nataliekalina/eda-simple-model-selection", "kernel_id": "40458378"}, {"ref": "utisop/0-66088-ensemble-automl-enzyme-classify", "kernel_id": "40467694"}, {"ref": "jmviji/ps3e18-lgbm-classifier-chain", "kernel_id": "40515810"}, {"ref": "manishkumar7432698/ps3e18-eda-feature-engineering-optuna", "kernel_id": "40458109"}, {"ref": "anshtanwar/eda-with-autoviz", "kernel_id": "40707784"}, {"ref": "anshtanwar/auto-ml-enzyme-substrate-dataset-pycaret", "kernel_id": "40690770"}, {"ref": "anshtanwar/autogluon-multi-label-classification", "kernel_id": "40691202"}, {"ref": "anshtanwar/cat-gbc-lgbm-xgb", "kernel_id": "40675802"}, {"ref": "keerthi4701/enzyme-multi-class-simple-model", "kernel_id": "40789945"}, {"ref": "cybersimar08/enzyme-gradient-xgb-ada-cat-lgbm-ensemble", "kernel_id": "40526583"}, {"ref": "francescoliveras/ps-s3-e18-eda-model-en-es", "kernel_id": "40677314"}, {"ref": "akhiljethwa/multi-label-classification-on-enzyme-data", "kernel_id": "40541513"}, {"ref": "ahmadalqawasmeh/enzymes-high-accuracy", "kernel_id": "40976292"}, {"ref": "sarahserafini/s3e18-with-tensorflow-neural-network", "kernel_id": "40888523"}, {"ref": "leeheewon01/ps3e18-automl-multi-label-autogluon", "kernel_id": "40573162"}, {"ref": "abhijeetsinghmeena/ps3-e18-ensemble-score-0-63434", "kernel_id": "40451562"}, {"ref": "abhijeetsinghmeena/ps3-e18-6-model-ensemble-lb-0-64139", "kernel_id": "40642966"}, {"ref": "omkarkhade7/multi-label-classification-using-ann", "kernel_id": "40462673"}, {"ref": "alekyaarra/multi-label-ensemble-deep-learning", "kernel_id": "40589316"}, {"ref": "aman7kumar/multi-class", "kernel_id": "40572653"}, {"ref": "waalbannyantudre/ps3-e18-eda-multioutputclassifier-xgb-baseline", "kernel_id": "40491682"}, {"ref": "ashx010/ps3e18-catboost-model-0-64-score", "kernel_id": "40498281"}, {"ref": "abocadobaby/ps3-ep18-simple-eda", "kernel_id": "40729658"}, {"ref": "mridul2003/multi-label-classification", "kernel_id": "40564294"}, {"ref": "warriorwizard/with-tf-decision-forests", "kernel_id": "40829870"}, {"ref": "tumpanjawat/s3e18-eda-cluster-ensemble-ada-cat-gb", "kernel_id": "40501421"}, {"ref": "awesomeharris/ps3e18-baseline-modelling-separately-ensemble", "kernel_id": "40649535"}, {"ref": "awesomeharris/ps3e18-original-dataset-cleaning", "kernel_id": "40455667"}, {"ref": "themayurbhat/nn-multi-label-classification-for-enzyme-substrate", "kernel_id": "40359985"}, {"ref": "jeremiaaron/ps-s3e18-catboost-xgb-lgbm-soft-voting", "kernel_id": "40870374"}, {"ref": "sanjanasatish68l/easy-multioutputclassifier-for-enzymes", "kernel_id": "40520004"}, {"ref": "ashishjagdishsharma/explore-multi-label-classification-with-an-enzyme", "kernel_id": "40576944"}, {"ref": "ragaa5/notebook1e3ddf7892", "kernel_id": "40633188"}, {"ref": "aaryansingh729/enzyme-substrate-eda", "kernel_id": "40450560"}, {"ref": "manteemike/pgs-s3e18-enzyme-substrate-pytorch-model", "kernel_id": "40489702"}, {"ref": "manteemike/pgs-s3e18-enzyme-substrate-eda", "kernel_id": "40478281"}, {"ref": "yapwh1208/playground-s3e18-xgb", "kernel_id": "40565980"}, {"ref": "yapwh1208/playground-s3e18-rf", "kernel_id": "40566628"}, {"ref": "yapwh1208/playground-s3e18-xgb-v2", "kernel_id": "40566832"}, {"ref": "vstacknocopyright/predicting-ec-classes-of-substrates-with-ensemble", "kernel_id": "40592137"}, {"ref": "neupane9sujal/multilabel-classifier", "kernel_id": "40569024"}, {"ref": "mateuszk013/playground-series-s3e18-eda-separate-learning", "kernel_id": "40635411"}, {"ref": "anjusukumaran4/multi-label-classification-eda-prediction", "kernel_id": "40591737"}, {"ref": "utkarshx27/multi-label-classification-score-0-642", "kernel_id": "40452563"}, {"ref": "shenhsunliao/enzyme", "kernel_id": "40539752"}, {"ref": "cozyhn/autogluon-eda-pandas-profiling-feature-importance", "kernel_id": "40449749"}, {"ref": "alexanderskachkov/lgbmclassifier-playground-series", "kernel_id": "40569029"}, {"ref": "sherafzal/notebook6379e3af67", "kernel_id": "40759884"}, {"ref": "vaibhavprajapati22/gradient-boosting", "kernel_id": "40542078"}, {"ref": "atuljo/eda-ensemble-cb-xgb-lgbm-0-64", "kernel_id": "40571628"}, {"ref": "damerajee/multi-classification-xgboost", "kernel_id": "40627505"}, {"ref": "markus427/proteinprediction", "kernel_id": "40494006"}, {"ref": "kishore3914/enzyme-substrate-classification", "kernel_id": "40455707"}, {"ref": "shreyanshsinghks/eda-rf-easy-explaination-all-models", "kernel_id": "40579381"}, {"ref": "stepantikhonov/catboost-enzyme-substrate", "kernel_id": "40471860"}, {"ref": "shivaninlp/ps3e18-multilabel-classification-nn", "kernel_id": "40655575"}, {"ref": "aman1320/enzymes", "kernel_id": "40693789"}, {"ref": "yashkalkani/explore-multi-label-classification-with-an-enzyme", "kernel_id": "40463787"}, {"ref": "weichens/ps3e18-study-xgb-ensemble-model", "kernel_id": "40783307"}, {"ref": "bretmathyer/s3e18-eda-interactive-visual-with-export", "kernel_id": "40523664"}, {"ref": "karansingla05/enzyme-substrate-pca-ensemble-1", "kernel_id": "40770365"}, {"ref": "ibrahimallabbad/eda-multi-classification-gradientboost-catboost", "kernel_id": "40634780"}, {"ref": "michael0621/explore-multi", "kernel_id": "40452046"}, {"ref": "ajay308/multi-label-classification", "kernel_id": "40577874"}, {"ref": "lwissitoon/explore-multi-label-classification-neuron", "kernel_id": "40863307"}, {"ref": "patrickjvsa/enzyme-clasification-v9-rf-xgb-nn-lgbm", "kernel_id": "40640755"}, {"ref": "matheuslopesvivas/multi-label-classification-enzyme-with-pytorch", "kernel_id": "41697632"}, {"ref": "sjviray/sjviray-enzyme-classification-competition", "kernel_id": "41866165"}, {"ref": "ranirathore/multilabel-classification", "kernel_id": "41093557"}, {"ref": "ashutossahoo/predicting-enzyme-classes-on-substrates", "kernel_id": "41202180"}, {"ref": "salazhiev/0-60361-for-beginners", "kernel_id": "41342466"}, {"ref": "vasindumrong/multilabel-classification-pytorch-intro", "kernel_id": "41398109"}, {"ref": "nihilisticneuralnet/1st-place-winning-solution", "kernel_id": "41600758"}, {"ref": "vivekkumar072002/multilabel-classification", "kernel_id": "41214008"}, {"ref": "acdundore/s3-e18-eda-feat-eng-ensemble", "kernel_id": "42255571"}, {"ref": "maryiaznak/multi-label-classification", "kernel_id": "42789657"}, {"ref": "sourabhsingh03993493/the-way-of-data", "kernel_id": "42341073"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "serhiikharchuk/with-tf-decision-forests", "kernel_id": "42717033"}, {"ref": "deltax/notebookdb1cde8161", "kernel_id": "43481998"}, {"ref": "ravi20076/playgrounds3e22-eda-baseline", "kernel_id": "43076535"}, {"ref": "han415/explore-multi-label-classification-with-an-enzyme", "kernel_id": "46384388"}, {"ref": "akandeboluwatife/using-tensorflow-decisiontree-for-classification", "kernel_id": "47314438"}, {"ref": "alinaageichik/variety-of-multi-label-classification-methods", "kernel_id": "47938638"}, {"ref": "raghav723/multilabel-classification", "kernel_id": "51585518"}, {"ref": "mpwolke/blending-methods-attempt", "kernel_id": "53524796"}, {"ref": "mpwolke/xgboost-dart-feature-importance", "kernel_id": "53526737"}, {"ref": "harshitstark/multi-label-enzyme-substrate-classification", "kernel_id": "54587043"}, {"ref": "quntrnhongng/pytorch-lightning-eda", "kernel_id": "55793710"}, {"ref": "khanhnq1301/datamining-content", "kernel_id": "71800548"}, {"ref": "nhnlqu/s3e18-eda-cluster-lgbm", "kernel_id": "71903915"}, {"ref": "tamnguyen2801/cs313-final", "kernel_id": "73463362"}, {"ref": "tamnguyen2801/fork-of-cs313-final", "kernel_id": "73471924"}, {"ref": "e27085921/autogluon-multi-label-classification", "kernel_id": "83752953"}, {"ref": "harshitakumari256/notebookf0e63fdefd", "kernel_id": "104866560"}, {"ref": "furkanzmez/multi-label-classification-eda", "kernel_id": "124840097"}]}
{"competition_id": "53383", "kernels": [{"ref": "christophercoffee/what-am-i-doing-wrong", "kernel_id": "38851803"}, {"ref": "tracyporter/hotel-cancellation-et", "kernel_id": "38571447"}, {"ref": "tracyporter/hotel-cancellation-mlpc", "kernel_id": "38541995"}, {"ref": "manavgupta92/99-hotel-booking-competition-rank-1-holder-code", "kernel_id": "38648375"}]}
{"competition_id": "53384", "kernels": []}
{"competition_id": "53389", "kernels": []}
{"competition_id": "53390", "kernels": []}
{"competition_id": "53399", "kernels": []}
{"competition_id": "53408", "kernels": [{"ref": "sasacademic/sas-viya-for-learners-python-starter", "kernel_id": "38534359"}, {"ref": "mpwolke/sas-viya-with-feyn-qlattice", "kernel_id": "41138840"}, {"ref": "mpwolke/sas-viya-treegraphviz", "kernel_id": "41210068"}, {"ref": "sasacademic/sas-viya-for-learners-python-advanced", "kernel_id": "41247525"}, {"ref": "sasacademic/sas-viya-for-learners-r-starter", "kernel_id": "41137680"}, {"ref": "antranswin/an-sas-viya-learners-challenge-2023-submission3", "kernel_id": "41262180"}, {"ref": "antranswin/an-submission2-gradient-boost500-0-5", "kernel_id": "41227785"}, {"ref": "ductungnguyen/sas-vfl-challenge-2023-train", "kernel_id": "41227783"}, {"ref": "tianyigg/tianyi-sas-vfl-challenge-submission1", "kernel_id": "41287026"}, {"ref": "joygaur/notebookc67cf3d5bd", "kernel_id": "41253415"}]}
{"competition_id": "53430", "kernels": [{"ref": "slayerpark/predicting-offensive-rebounds-shot-quality-comp", "kernel_id": "40978920"}, {"ref": "jccampos/shotquality", "kernel_id": "41514699"}, {"ref": "peridon/ncaa-has-its-own-rules-baseline-notebook-eda", "kernel_id": "41705468"}, {"ref": "timseymour/sq-rebounding-submission", "kernel_id": "42100106"}, {"ref": "connorpbradley/sq-final-r-markdown", "kernel_id": "42533868"}, {"ref": "calvinfinley/rebound-zone-shotquality-ncaa", "kernel_id": "42573020"}, {"ref": "sethlanza/shot-quality", "kernel_id": "42102788"}]}
{"competition_id": "53438", "kernels": []}
{"competition_id": "53440", "kernels": []}
{"competition_id": "53443", "kernels": []}
{"competition_id": "53467", "kernels": []}
{"competition_id": "53482", "kernels": [{"ref": "riadalmadani/debertav3-tf-4-fold-model", "kernel_id": "19661371"}, {"ref": "alejopaullier/introduction-to-transformers", "kernel_id": "36080159"}, {"ref": "aliabdin1/llm-03l-building-llm-chains-lab", "kernel_id": "40930084"}, {"ref": "aliabdin1/llm-01l-how-to-use-llms-with-hugging-face-lab", "kernel_id": "40621401"}, {"ref": "aliabdin1/llm-02l-embeddings-vector-databases-and-search", "kernel_id": "40632606"}, {"ref": "aliabdin1/llm-01-how-to-use-llms-with-hugging-face", "kernel_id": "40286328"}, {"ref": "aliabdin1/llm-02-embeddings-vector-databases-and-search", "kernel_id": "40286791"}, {"ref": "aliabdin1/llm-06-llmops", "kernel_id": "40467807"}, {"ref": "aliabdin1/llm-05-biased-llms-and-society", "kernel_id": "40357383"}, {"ref": "aliabdin1/llm-04b-evaluating-llms", "kernel_id": "40339008"}, {"ref": "aliabdin1/llm-04a-fine-tuning-llms", "kernel_id": "40334066"}, {"ref": "christph/gzip-language-model", "kernel_id": "41292692"}, {"ref": "anisharitakula/commonlit-model-deberta", "kernel_id": "41219952"}, {"ref": "jjinho/eda-diving-into-commonlit-summary", "kernel_id": "41282471"}, {"ref": "jjinho/eda-umap-and-cosine-similarity-of-embeddings", "kernel_id": "41135793"}, {"ref": "iabhishekofficial/exploratory-data-analysis-of-student-summaries", "kernel_id": "41093363"}, {"ref": "afajohn/eda-baseline-s-lb-0-574", "kernel_id": "41120956"}, {"ref": "yfwei36/competition-commonlit", "kernel_id": "41519913"}, {"ref": "dilthoms/commonlit-train", "kernel_id": "41926808"}, {"ref": "docxian/commonlit-explore-train-summaries", "kernel_id": "41208608"}, {"ref": "etaifour/visualize-sentences-in-2d-space", "kernel_id": "41947487"}, {"ref": "neos960518/commonlit-inference", "kernel_id": "41120785"}, {"ref": "aliasgherman/simple-sklearn-pipeline", "kernel_id": "41233830"}, {"ref": "ryanholbrook/evaluate-student-summaries-efficiency-lb", "kernel_id": "41030164"}, {"ref": "tsunotsuno/debertav3-with-llama2-example", "kernel_id": "41874478"}, {"ref": "tsunotsuno/debertav3-baseline-content-and-wording-models", "kernel_id": "41554493"}, {"ref": "tsunotsuno/debertav3-w-prompt-title-question-fields", "kernel_id": "41614402"}, {"ref": "tsunotsuno/updated-debertav3-lgbm-with-feature-engineering", "kernel_id": "41780732"}, {"ref": "alesanmedvedeva/comp2-v2", "kernel_id": "41923254"}, {"ref": "alesanmedvedeva/comp2-v0", "kernel_id": "41801062"}, {"ref": "luki493/eda-scoring-stats-wc-lda", "kernel_id": "41624050"}, {"ref": "anthony35813/commonlit-first-look-at-the-data", "kernel_id": "41011882"}, {"ref": "kieserel/deberta-additional-features", "kernel_id": "41756530"}, {"ref": "paolorechia/run-pipeline", "kernel_id": "41354493"}, {"ref": "mihtw1/tez-deberta-v3", "kernel_id": "41013563"}, {"ref": "juancgar/cl-debertav3", "kernel_id": "41170459"}, {"ref": "sercanyesiloz/commonlit-bert-baseline", "kernel_id": "41169076"}, {"ref": "sercanyesiloz/commonlit-tf-idf-xgb-baseline", "kernel_id": "41081608"}, {"ref": "flaviocrispin/commonlit-evaluate-by-bert", "kernel_id": "41330646"}, {"ref": "mpwolke/kiddos-summaries", "kernel_id": "41012377"}, {"ref": "bhavesjain/commonlit-2023-train", "kernel_id": "41922146"}, {"ref": "arviinndn/commonlit-student-summaries-debertaxlarge-rf", "kernel_id": "41693762"}, {"ref": "yuriao/commonlit-lgbm", "kernel_id": "41370503"}, {"ref": "jaloeffe92/commonlit-training", "kernel_id": "41076435"}, {"ref": "nbroad/infer-2x-t4", "kernel_id": "41013748"}, {"ref": "nbroad/train-2x-t4", "kernel_id": "41011532"}, {"ref": "deshwalmahesh/build-llama-from-scratch-step-by-step-guide", "kernel_id": "41987041"}, {"ref": "sumeetsawant/commonlit-evaluate-summary", "kernel_id": "41427789"}, {"ref": "dhruvkhatri/eda-commonlit-cosine-similarity", "kernel_id": "41049482"}, {"ref": "thanhvu2611/t2m-first", "kernel_id": "41872493"}, {"ref": "emirkocak/commonlit-evaluate-student-first-look-eda", "kernel_id": "41030784"}, {"ref": "samyukthamobile/stats-how-many-students-scored-egg-clent", "kernel_id": "41627057"}, {"ref": "samyukthamobile/commonlit-ata-exploration", "kernel_id": "41507272"}, {"ref": "aliabdin1/llm-05l-biased-llms-and-society-lab", "kernel_id": "41103503"}, {"ref": "aliabdin1/llm-04l-fine-tuning-llms-lab", "kernel_id": "41069682"}, {"ref": "aliabdin1/llm-03-building-llm-chain", "kernel_id": "41331586"}, {"ref": "vassylkorzh/feature-engineering", "kernel_id": "41708153"}, {"ref": "vikramsandu/dl-nlp-commonlit-summaries", "kernel_id": "41122970"}, {"ref": "vikramsandu/commonlit-mlm", "kernel_id": "41600870"}, {"ref": "wouldyoujustfocus/increase-batchsize-with-gradient-checkpoint-ddp-dp", "kernel_id": "41887219"}, {"ref": "theodorospsarras/deberta-mlskf", "kernel_id": "41996054"}, {"ref": "valkomilev/notebookf3f6831103", "kernel_id": "41865043"}, {"ref": "ivanaerlic/2nd-place-solution", "kernel_id": "41017044"}, {"ref": "rajat95gupta/baseline-sbert-svr", "kernel_id": "41589082"}, {"ref": "samruddhimore/submission-csv", "kernel_id": "41826418"}, {"ref": "daisymint/notebook261d3095b3", "kernel_id": "41790447"}, {"ref": "jaga360/commonlit-v3-training", "kernel_id": "41842638"}, {"ref": "jaga360/commonlit-v2-inference", "kernel_id": "41763119"}, {"ref": "jaga360/commonlit-summarization-score-baseline", "kernel_id": "41113939"}, {"ref": "jaga360/commonlit-v2-training", "kernel_id": "41524435"}, {"ref": "catchbat/commonlit-complete-eda-using-nltk", "kernel_id": "41458101"}, {"ref": "catchbat/eda-on-the-target", "kernel_id": "41415095"}, {"ref": "catchbat/lb-0-505-evaluate-student-summaries", "kernel_id": "41692131"}, {"ref": "fadmadahouz/getting-started-with-nlp-for-beginners", "kernel_id": "41109654"}, {"ref": "yisberh/baseline-notebook-evaluate-student-summaries", "kernel_id": "41223625"}, {"ref": "somesh88/distilbert-eda-and-baseline-wandb", "kernel_id": "41886643"}, {"ref": "mdmillenniumrahman/commonlit-comp", "kernel_id": "41623088"}, {"ref": "krooz0/commonlit-lda-randomforest-baseline", "kernel_id": "41599351"}, {"ref": "apoorvjha63/model-nb", "kernel_id": "41554783"}, {"ref": "jvthunder/pytorch-simple-baseline-bert-model", "kernel_id": "41756388"}, {"ref": "amirstash/extract-embeddings-text", "kernel_id": "41476480"}, {"ref": "arwani/predict-score-for-wording-and-content-with-rfr", "kernel_id": "41158793"}, {"ref": "arwani/predict-score-for-wording-and-content-with-xgb", "kernel_id": "41371563"}, {"ref": "akiyukikouyama/commonlit-sentencebert", "kernel_id": "41018604"}, {"ref": "akiyukikouyama/commonlit-eda-preprocess-output-is-importable", "kernel_id": "41252417"}, {"ref": "sugataghosh/commonlit-multioutputregressor-regressorchain", "kernel_id": "41981442"}, {"ref": "prosperalikizang/commonlit", "kernel_id": "41168020"}, {"ref": "jocelyndumlao/evaluating-and-improving-summarization-skills", "kernel_id": "41087509"}, {"ref": "danniles/dse-project-exploratory-data-analysis", "kernel_id": "41829148"}, {"ref": "mohammad2012191/debertav3-pytorch-baseline-training-cv-0-467", "kernel_id": "41024696"}, {"ref": "mohammad2012191/debertav3-pytorch-baseline-inference-cv-0-467", "kernel_id": "41010902"}, {"ref": "junjitakeshima/comlit-easy-roberta-starter-eng", "kernel_id": "41984081"}, {"ref": "maverickss26/lb-0-482-evaluate-student-summaries", "kernel_id": "41159222"}, {"ref": "chiennguyendev/generative-adversarial-network-gan", "kernel_id": "41551386"}, {"ref": "rajatraj0502/commonlit-evaluate-student-summaries", "kernel_id": "41333100"}, {"ref": "bchoffin/baseline-summary-length-rf", "kernel_id": "41079800"}, {"ref": "divyanshikapoor05/summaries-eda-wordcloud-trigrams", "kernel_id": "41150395"}, {"ref": "sandeepmnair/commonlit-deberta-train-n-infer-tensorflow", "kernel_id": "41791667"}, {"ref": "ziadhamadafathy/evaluate-student-summaries-with-transformers", "kernel_id": "41787697"}, {"ref": "maria222222/embed-catboost-try", "kernel_id": "41525240"}, {"ref": "leehann/commonlit-inference", "kernel_id": "41350862"}, {"ref": "harshitkmr/using-sentence-pip-wheels", "kernel_id": "41324529"}, {"ref": "harshitkmr/sentence-transformers-pip-wheels", "kernel_id": "41324120"}, {"ref": "harshitkmr/commonlit-inference", "kernel_id": "41033421"}, {"ref": "harshitkmr/commonlit-train", "kernel_id": "41026838"}, {"ref": "pjmathematician/commonlit-similarity-vs-scores-simple-inference", "kernel_id": "41023911"}, {"ref": "abhishek123maurya/fine-tuning-llm-for-scoring-llama-2", "kernel_id": "41132241"}, {"ref": "mohammadzamakhan/bag-of-words", "kernel_id": "41207116"}, {"ref": "javigallego/commonlit-extracting-embeddings", "kernel_id": "41207687"}, {"ref": "javigallego/commonlit-complete-eda-using-nltk", "kernel_id": "41194416"}, {"ref": "leiwong/basic-eda-commonlit-ess", "kernel_id": "41069601"}, {"ref": "ayushs9020/training-multiple-models-on-commonlit", "kernel_id": "41198467"}, {"ref": "ayushs9020/raw-roberta-base-training-commonlit", "kernel_id": "41065446"}, {"ref": "ayushs9020/winning-solution-commonlit-readibility", "kernel_id": "41118900"}, {"ref": "ayushs9020/understanding-the-competition-commonlit", "kernel_id": "41041051"}, {"ref": "ayushs9020/multiple-models-pytorch-lightning-w-b", "kernel_id": "41893788"}, {"ref": "ayushs9020/making-my-own-transformer", "kernel_id": "41687271"}, {"ref": "golammostofas/evaluate-student-for-beginner-s", "kernel_id": "41866310"}, {"ref": "sourabhsingh03993493/transformers-predictions-base", "kernel_id": "41487475"}, {"ref": "greyisbetter/baseline-roberta-pooling-lgbm", "kernel_id": "41978725"}, {"ref": "greyisbetter/problem-statement-001", "kernel_id": "41917990"}, {"ref": "bulivington/no-transformers-but-not-so-bad", "kernel_id": "41524804"}, {"ref": "bulivington/transformers-predictions-base", "kernel_id": "41420832"}, {"ref": "kevinmorgado/commonlit-summary-eda", "kernel_id": "41081260"}, {"ref": "kirillerokhin/no-transformers-but-not-so-bad-feedback", "kernel_id": "41692914"}, {"ref": "nataliekalina/commonlit-first-data-exploration", "kernel_id": "41068279"}, {"ref": "santiagopedroza/svr-using-deberta-embeddings-baseline", "kernel_id": "41481901"}, {"ref": "ujaljohnson/ctmalphatest", "kernel_id": "41693739"}, {"ref": "langzhelu/training-with-falcon", "kernel_id": "41714950"}, {"ref": "ashwarytripathi/notebook7bf31e6f76", "kernel_id": "41717946"}, {"ref": "zizh3ngzhang/commonlit-inference", "kernel_id": "41912692"}, {"ref": "baokaige/commonlit-train", "kernel_id": "41988981"}, {"ref": "michaelshekasta/eda-on-the-target", "kernel_id": "41116971"}, {"ref": "michaelshekasta/gzip-classifer", "kernel_id": "41147317"}, {"ref": "michaelshekasta/linear-regression-on-text-length", "kernel_id": "41146922"}, {"ref": "unmol03/llm-v1", "kernel_id": "41382223"}, {"ref": "natayakusheva/use-regression-but-through-probability", "kernel_id": "41469467"}, {"ref": "ecopolitics16/students-abalyzing-eda", "kernel_id": "41732509"}, {"ref": "sokifukuda/notebook9d20069037", "kernel_id": "41137398"}, {"ref": "fazorglitz1/students-summary-evaluator-model", "kernel_id": "41049769"}, {"ref": "maramalhinai/numerical-feature", "kernel_id": "41940094"}, {"ref": "harshpriye/summary-evaluation", "kernel_id": "41440501"}, {"ref": "mlffkr/common-lit-ess-infer-bloom", "kernel_id": "41795715"}, {"ref": "mlffkr/common-lit-ess-train-7070a33eqwewq", "kernel_id": "41846569"}, {"ref": "mlffkr/deberta-inferebce", "kernel_id": "41870486"}, {"ref": "mlffkr/fork-of-fork-of-common-lit-ess-infer-eaa648", "kernel_id": "41923317"}, {"ref": "mlffkr/fork-of-common-lit-ess-infer-eaa648", "kernel_id": "41923002"}, {"ref": "mlffkr/fork-of-common-lit-ess-train-7070a3", "kernel_id": "41902159"}, {"ref": "mlffkr/base-vectorization", "kernel_id": "41530253"}, {"ref": "mlffkr/common-lit-ess-train", "kernel_id": "41651408"}, {"ref": "mjason98/similarity-predictions", "kernel_id": "41992116"}, {"ref": "mianwang1024/transformers-predictions-base-a68136", "kernel_id": "41681311"}, {"ref": "imonefk/commonlit-regression-eda-fe-version-1", "kernel_id": "41694430"}, {"ref": "jasonheesanglee/eda-spellcheck-tool-comparison", "kernel_id": "41612287"}, {"ref": "jasonheesanglee/commonlit-inference", "kernel_id": "41423642"}, {"ref": "jasonheesanglee/en-mobilebert-implementation", "kernel_id": "41467725"}, {"ref": "forrestluo/train-2x-t4", "kernel_id": "41197984"}, {"ref": "dmitriygakh/commonlit-beginner-polyfit-text-size", "kernel_id": "41473909"}, {"ref": "dmitriygakh/commonlit-beginner-mean", "kernel_id": "41530856"}, {"ref": "vishalsinghbaraiya/notebook7e41f16424", "kernel_id": "41331355"}, {"ref": "skylartiptpon/evaluate-student-summaries-efficiency-lb", "kernel_id": "41401737"}, {"ref": "skylartiptpon/notebookd44fa2c0c3", "kernel_id": "41399569"}, {"ref": "skylartiptpon/winning-solution-commonlit-readibility", "kernel_id": "41398783"}, {"ref": "latticetower/commonlit-fine-tuning-with-sentencetransformers", "kernel_id": "42665327"}, {"ref": "latticetower/commonlit-predict-with-fine-tuned-llm", "kernel_id": "42666757"}, {"ref": "ahmedhassan0/commonlit-simple-siamese-network-tensorflow", "kernel_id": "42461722"}, {"ref": "zurman/notebook-001", "kernel_id": "42929666"}, {"ref": "usharengaraju/albert-w-b", "kernel_id": "42421188"}, {"ref": "bytestorm/frozen-berrrrt-xgboost-with-ablations", "kernel_id": "42354521"}, {"ref": "bytestorm/simple-tf-idf-xgb", "kernel_id": "42238584"}, {"ref": "bytestorm/go-berrrrrt", "kernel_id": "42239083"}, {"ref": "bytestorm/understanding-the-dataset-discovering-features", "kernel_id": "42770181"}, {"ref": "sivasankarm/distilbert-tokenizer-fine-tuning-model", "kernel_id": "42578565"}, {"ref": "nicapotato/commonlit-eda", "kernel_id": "42530235"}, {"ref": "atamazian/cess-transformers-roberta-base-infer", "kernel_id": "42053286"}, {"ref": "sathanandh/notebook4070befba0", "kernel_id": "42630014"}, {"ref": "paultimothymooney/let-llama-2-summarize-commonlit-entries-for-you", "kernel_id": "42359085"}, {"ref": "abinsingh/most-required-things-during-submission", "kernel_id": "42163011"}, {"ref": "abinsingh/simple-linear-regression-5-cell-execution", "kernel_id": "42003407"}, {"ref": "alexjoe/how-to-finetune-llms-with-lora", "kernel_id": "42847732"}, {"ref": "matiasmgonzalez/v6-mixed", "kernel_id": "42860927"}, {"ref": "prithviraj7387/commonlit-student-summaries-eda", "kernel_id": "42264659"}, {"ref": "prithviraj7387/commonlit-countvec-tfidf-model", "kernel_id": "42294709"}, {"ref": "tsunotsuno/debertav3-only-with-average-pooling", "kernel_id": "42629373"}, {"ref": "tsunotsuno/lgbm-debertav3-another-impl", "kernel_id": "42235475"}, {"ref": "tsunotsuno/updated-debertav3-lgbm-with-spell-autocorrect", "kernel_id": "42044436"}, {"ref": "tsunotsuno/debertav3-lgbm-no-autocorrect", "kernel_id": "42355816"}, {"ref": "kononenko/commonlit-ess-text-readability-eda", "kernel_id": "42676431"}, {"ref": "ollyrennard/randomforests", "kernel_id": "42869214"}, {"ref": "sungeun1028/simple-submission-model-using-pycaret", "kernel_id": "42144269"}, {"ref": "sungeun1028/simple-eda-insights", "kernel_id": "42123866"}, {"ref": "alexandervc/commonlit-1", "kernel_id": "42458974"}, {"ref": "alexandervc/no-transformers-but-not-so-bad-6fb02b", "kernel_id": "42864988"}, {"ref": "alexandervc/commonlit-sequence-alignment", "kernel_id": "42795664"}, {"ref": "alexandervc/commonlit-for-beginners-2-cv-huggingface-blend", "kernel_id": "42662733"}, {"ref": "alexandervc/commonlit-levenshtein-distances", "kernel_id": "42605638"}, {"ref": "alexandervc/commonlit-tune-hugging-face-model-for-beginners", "kernel_id": "42558511"}, {"ref": "dellalkhaled/outliers-detection", "kernel_id": "42819221"}, {"ref": "azkahi/notebookcddf0d7497", "kernel_id": "42301600"}, {"ref": "omarvivas/commlit-lgbm-v1", "kernel_id": "42524356"}, {"ref": "omarvivas/commlit-xgb-v1", "kernel_id": "42525187"}, {"ref": "omarvivas/cbmodel-v1", "kernel_id": "42471507"}, {"ref": "rakesh82rawat/rrc3-commonlit-eval-student-summaries-non-llm", "kernel_id": "42511666"}, {"ref": "chetan8007/longformer-pytorch-baseline-training", "kernel_id": "42543310"}, {"ref": "chetan8007/max-token-length-822", "kernel_id": "42543867"}, {"ref": "rachanabisht/com-lit-understanding-data", "kernel_id": "42941847"}, {"ref": "tovvelie/simple-fine-tune-a-pretrained-model", "kernel_id": "42276334"}, {"ref": "spacetrooper/commonlit-student-interactive-data-exploration", "kernel_id": "42392378"}, {"ref": "uygarkk/youtube-debertav3-autocorrect", "kernel_id": "42689252"}, {"ref": "raki21/summary-examples-by-content-and-wording", "kernel_id": "42114287"}, {"ref": "adonaivera/algorithm-challenge-pyconnect2023", "kernel_id": "42805214"}, {"ref": "atharvaingle/clt-ess-2023-hill-climbing-inference", "kernel_id": "42194474"}, {"ref": "thomasrochefort/a-simple-huggingface-dataset-class-to-get-started", "kernel_id": "42125530"}, {"ref": "roberttrypuz/commonlit-evaluate-student-summaries", "kernel_id": "42439997"}, {"ref": "roberttrypuz/deberta-rt-1-memory", "kernel_id": "42690719"}, {"ref": "aliabdin1/petals-run-70b-llms-at-home-bittorrent-style", "kernel_id": "42233007"}, {"ref": "aliabdin1/how-does-quantization-work", "kernel_id": "42692393"}, {"ref": "aliabdin1/how-to-finetune-llms-with-lora", "kernel_id": "42670917"}, {"ref": "shrishtivaish/no-transformers-basic-models-eda-nlp", "kernel_id": "42300335"}, {"ref": "scr0ll0/eda-with-nlp", "kernel_id": "42672945"}, {"ref": "vassylkorzh/data-story-what-makes-the-summary-great", "kernel_id": "42057092"}, {"ref": "vassylkorzh/commonlit-eda-of-generated-features", "kernel_id": "42060038"}, {"ref": "jbyrne/student-summaries-2", "kernel_id": "42567441"}, {"ref": "jbyrne/first-attempt-at-student-summary-scoring", "kernel_id": "42553821"}, {"ref": "jbyrne/student-summaries-1", "kernel_id": "42553844"}, {"ref": "oluwatobibetiku/solution-notebook", "kernel_id": "42327514"}, {"ref": "wouldyoujustfocus/eda-new-insights-features-extraction", "kernel_id": "42673267"}, {"ref": "hidebu/eda-deepen-understanding-for-feature-eng", "kernel_id": "42821738"}, {"ref": "ao9mame/commonlit-deberta-with-transformers", "kernel_id": "42518419"}, {"ref": "j13mehul/simple-deberta-solution", "kernel_id": "42718357"}, {"ref": "catchbat/rapids-svr", "kernel_id": "42749206"}, {"ref": "onwunyichisomebi/notebook7f42ea8f2e-b95465", "kernel_id": "42621108"}, {"ref": "rickycorte/commonlit-2023-development", "kernel_id": "42789962"}, {"ref": "mdhimaspamungkas/commonlit-students-nlp", "kernel_id": "42843982"}, {"ref": "bendurham441/first-submission", "kernel_id": "42168266"}, {"ref": "mcpenguin/inference-commonlit-student-summaries", "kernel_id": "42509731"}, {"ref": "locbaop/train-common-lit-eval-stu-sum-baseline", "kernel_id": "42356663"}, {"ref": "dlaststark/common-lit-word-coverage", "kernel_id": "42239785"}, {"ref": "dlaststark/common-lit-no-transformers-neural-nets", "kernel_id": "42724440"}, {"ref": "alkanerturan/commonlit", "kernel_id": "42927439"}, {"ref": "lilac07/eda-advanced-feature-engineering", "kernel_id": "42480947"}, {"ref": "fritzcremer/lb-probing", "kernel_id": "42785043"}, {"ref": "benidictusgalihmp/c-ess-fastai", "kernel_id": "42458796"}, {"ref": "ayedbochra/bert-biginner", "kernel_id": "42855840"}, {"ref": "natsumiarai/hisui-eda", "kernel_id": "42982155"}, {"ref": "vinayaktiwari28/data-preprocessing", "kernel_id": "42130737"}, {"ref": "vinayaktiwari28/easy-peasy-deberta-starter-model", "kernel_id": "42240391"}, {"ref": "rizkykiky/bert-processing-and-baseline", "kernel_id": "42482291"}, {"ref": "philurame/distilroberta-catboost-and-feature-importance", "kernel_id": "42476557"}, {"ref": "gusthema/commonlit-evaluate-student-summaries-w-tfdf", "kernel_id": "42186293"}, {"ref": "sergeychernykh/serial-experemets", "kernel_id": "42290481"}, {"ref": "adityaparikh668/autokeras-better-baseline-for-experiments", "kernel_id": "42636507"}, {"ref": "adityaparikh668/save-time-and-computation-save-roberta-embeddings", "kernel_id": "42307704"}, {"ref": "adityaparikh668/roberta-xgb-better-than-bert", "kernel_id": "42262768"}, {"ref": "adityaparikh668/save-and-load-transformers", "kernel_id": "42422474"}, {"ref": "adityaparikh668/simple-bert-mlp-perfect-for-nlp-beginners", "kernel_id": "42232823"}, {"ref": "adityaparikh668/tfidf-xgb-minimum-preprocessing", "kernel_id": "42181473"}, {"ref": "suraj520/deberta-v3-lgbm-optuna-autocorrect-k-foldcv", "kernel_id": "42605346"}, {"ref": "suraj520/beginner-friendly-bert", "kernel_id": "42007223"}, {"ref": "javigallego/85th-place-solution-ensemble", "kernel_id": "42490382"}, {"ref": "puneetphysicist/notebookacbc35b7b9", "kernel_id": "42209643"}, {"ref": "risakashiwabara/eda-scatterplot", "kernel_id": "42431808"}, {"ref": "seblful/deberta-v3-lgbm-feature-engineering-oop", "kernel_id": "42728481"}, {"ref": "yaaangzhou/en-commonlit-learning-note", "kernel_id": "42284449"}, {"ref": "yaaangzhou/commonlit-easy-for-beginner-roberta-baseline", "kernel_id": "42925458"}, {"ref": "yaaangzhou/commonlit-machine-learning-baseline-model", "kernel_id": "42914053"}, {"ref": "yaaangzhou/learning-llm-finetune-with-lora", "kernel_id": "42798912"}, {"ref": "abhijitdarekar001/flan-t5-base-xgbregressor", "kernel_id": "42661020"}, {"ref": "pariyawan02/simplest-with-tfidf", "kernel_id": "42945058"}, {"ref": "dttjrhk/first-try-with-deberta-of-evaluate-summaries", "kernel_id": "42544882"}, {"ref": "anandsiva/llm-02-embeddings-vector-databases-and-search", "kernel_id": "42303674"}, {"ref": "jaberjaber/commonlit-nlp-power-with-pytorch-and-bert", "kernel_id": "42588504"}, {"ref": "baorbaor/test-lora-adapter", "kernel_id": "42987831"}, {"ref": "fong144/commonlit-student-summaries-evaluated", "kernel_id": "42161685"}, {"ref": "nithinreddy90/commonlit-student-summaries-evaluation", "kernel_id": "42918721"}, {"ref": "synful/simple-distilroberta-base-10mins-to-train", "kernel_id": "42626627"}, {"ref": "synful/distilroberta-with-categorical-features", "kernel_id": "42914336"}, {"ref": "neupane9sujal/deberta-and-xgb", "kernel_id": "42548096"}, {"ref": "neupane9sujal/bert-model-beginner", "kernel_id": "42585831"}, {"ref": "neupane9sujal/sentencetransformers-starter", "kernel_id": "42421366"}, {"ref": "crxxom/commonlit-nlp-simple-eda-feature-engineering", "kernel_id": "42613257"}, {"ref": "kaineyamashiro/kaggle-comp", "kernel_id": "42770936"}, {"ref": "kaineyamashiro/notebookdb33866dff", "kernel_id": "42770895"}, {"ref": "mohamedaminesahraoui/dnn-building", "kernel_id": "42081596"}, {"ref": "satheeshbhukya1/commonlit-debertav3base-autocorrect-spellechecker", "kernel_id": "42433984"}, {"ref": "satheeshbhukya1/common-lit-using-tfdf", "kernel_id": "42118211"}, {"ref": "satheeshbhukya1/commonlit-deberta-v3-large-inference", "kernel_id": "42868198"}, {"ref": "satheeshbhukya1/commonlit-deberta-v3-large-train", "kernel_id": "42713684"}, {"ref": "damikaanupama/eda-spellcheck-comparison", "kernel_id": "42406593"}, {"ref": "cody11null/tuned-debertav3-lgbm-autocorrect", "kernel_id": "42226949"}, {"ref": "ileln0414/notebookc7f8bfec78", "kernel_id": "42582123"}, {"ref": "kinchitgoyal/notebook5e0a94ddfe", "kernel_id": "42100321"}, {"ref": "mlffkr/updated-debertav3-lgbm-with-spell-autocorrect", "kernel_id": "42218257"}, {"ref": "joshuakayodejames/commonlit", "kernel_id": "42472644"}, {"ref": "chanhyukhan/commonlit-eda-practice", "kernel_id": "42414443"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "mantavyaupadhyay/nlp-task-mantavya", "kernel_id": "42099800"}, {"ref": "seungjunlim/lb-0-482-copy", "kernel_id": "42157158"}, {"ref": "seungjunlim/notebookc187d58ee5", "kernel_id": "42050147"}, {"ref": "seungjunlim/commonlit-eda", "kernel_id": "42818425"}, {"ref": "lanshank/evaluate-student-summaries-efficiency-lb", "kernel_id": "42028201"}, {"ref": "lanshank/submission", "kernel_id": "42046814"}, {"ref": "panjinhua/rf-svr", "kernel_id": "42020482"}, {"ref": "sridharnomulas/sridhar-nomlula-summaries", "kernel_id": "42395888"}, {"ref": "haiber/commonlit-with-xgb-vectorized-tokenized", "kernel_id": "42270132"}, {"ref": "subhamchakrabort/eval-summary", "kernel_id": "42614993"}, {"ref": "mariabistro/evaluate-student-summaries-visualization", "kernel_id": "42350611"}, {"ref": "amirulmutaqin/dataset-analysis", "kernel_id": "42679011"}, {"ref": "montassarbenyahia/train-2x-t4", "kernel_id": "42054294"}, {"ref": "dosharui/trying-to-reproduce-baseline-random-forest", "kernel_id": "42441802"}, {"ref": "geogeolerigolo/notebook680e4a8b82", "kernel_id": "42147521"}, {"ref": "geogeolerigolo/simple-linear-regression", "kernel_id": "42221328"}, {"ref": "alexeyb/sklearn-pipeline-notebook", "kernel_id": "43385541"}, {"ref": "mechallenge/beginner-friendly-bert", "kernel_id": "43277134"}, {"ref": "zurman/xgb-regression-4-folds", "kernel_id": "43028995"}, {"ref": "subham07/fine-tuning-bert-score-0-58", "kernel_id": "43225218"}, {"ref": "youwbpyr/filtering-prompt-text-using-tfidfvectorizer-cosi", "kernel_id": "43283392"}, {"ref": "avani23/boosting-regressor-for-evaluating-student-summary", "kernel_id": "43841095"}, {"ref": "ketrin/common-lit", "kernel_id": "43534014"}, {"ref": "ianchute/magic-number-model", "kernel_id": "43074754"}, {"ref": "marekm4/commonlit-mpl-simple-nlp-library-non-llm", "kernel_id": "43776512"}, {"ref": "wchan757/achieving-lb-0-47-with-just-lightgbm-detail", "kernel_id": "43128516"}, {"ref": "vinitkp/student-summaries-tensorflow", "kernel_id": "43019785"}, {"ref": "kononenko/commonlit-ess-number-of-prompts-in-test-data", "kernel_id": "43642601"}, {"ref": "kononenko/a-quick-saved-notebook-submission", "kernel_id": "43247338"}, {"ref": "kononenko/pip-install-nlp-mit", "kernel_id": "43016723"}, {"ref": "kononenko/commonlit-ess-commonlit-library-scraping", "kernel_id": "43090082"}, {"ref": "kononenko/no-length-ratio-tuned-debertav3-lgbm-autocorrect", "kernel_id": "43304151"}, {"ref": "ollyrennard/randomfo", "kernel_id": "43021814"}, {"ref": "ollyrennard/randomfo-nn", "kernel_id": "43068533"}, {"ref": "aruaru0/infer-colabtrained-deverta-v3-large", "kernel_id": "43481407"}, {"ref": "luki493/deberta-reproduction-problem", "kernel_id": "43249904"}, {"ref": "rakesh82rawat/rrc3-commonlit-student-summ-lgbm-rank-390", "kernel_id": "43891103"}, {"ref": "pathik1511/commonlit-evaluate-student-summaries", "kernel_id": "43068359"}, {"ref": "yuriao/commonlit-albert-v2-large", "kernel_id": "43543928"}, {"ref": "vrivier/linear-regression-on-summary-length", "kernel_id": "43447857"}, {"ref": "raki21/efficiency-3rd-place-submission", "kernel_id": "43400812"}, {"ref": "raki21/performance", "kernel_id": "43897205"}, {"ref": "hideyukizushi/tuned-debertav3-lgb-cat-xgb-autocorrect", "kernel_id": "43184864"}, {"ref": "aynoji/csc494-id-26-debertav3-lgbm-autocorrect", "kernel_id": "43715938"}, {"ref": "aynoji/csc494-id-26-lightgbm-optuna", "kernel_id": "43435259"}, {"ref": "ballisticrage/using-cosine-sim", "kernel_id": "43787784"}, {"ref": "pazzionon/commonlit-evaluate-student-summaries", "kernel_id": "43668017"}, {"ref": "hiro0251/notebook40cf38aa95", "kernel_id": "43061542"}, {"ref": "simpleaccount/wrappinglgbm-inference", "kernel_id": "43663937"}, {"ref": "aliabdin1/how-does-mixture-of-experts-moe-work", "kernel_id": "43587602"}, {"ref": "kengofujii/exp113", "kernel_id": "43778711"}, {"ref": "dangnguyen97/tuned-debertav3-lgbm", "kernel_id": "43531566"}, {"ref": "tsunghsuanhung/lgbm-deberta-autocorrect-readability", "kernel_id": "43742691"}, {"ref": "aayushpatni/hill-climbing-ensembling-transformers", "kernel_id": "43381039"}, {"ref": "aayushpatni/deberta-v3-large-individual-targets-2", "kernel_id": "43525398"}, {"ref": "aayushpatni/debertav3-pytorch-baseline-training", "kernel_id": "43586131"}, {"ref": "aayushpatni/tpu-accelerate-hf-pytorch", "kernel_id": "43762946"}, {"ref": "aayushpatni/accelerate-multi-gpu", "kernel_id": "43750683"}, {"ref": "j13mehul/dl-architecture-10-features-bert-embedding", "kernel_id": "43027651"}, {"ref": "mst8823/exp000", "kernel_id": "43714773"}, {"ref": "catchbat/tuned-debertav3-lgbm-autocorrect", "kernel_id": "43061469"}, {"ref": "lordxerxes/commonlit-custom-model-approach", "kernel_id": "43328396"}, {"ref": "lordxerxes/tfidf-counterizer-lightgbm", "kernel_id": "43060865"}, {"ref": "lordxerxes/basic-tfidf-model", "kernel_id": "43058319"}, {"ref": "rickycorte/commonlit-2023-submit", "kernel_id": "43456328"}, {"ref": "mcpenguin/utility-commonlit-student-summaries", "kernel_id": "43273747"}, {"ref": "mcpenguin/eda-commonlit-student-summaries", "kernel_id": "43273964"}, {"ref": "alkanerturan/commonlit-distilbertv3", "kernel_id": "43225904"}, {"ref": "cyberblack0/commonlitmodels", "kernel_id": "43852162"}, {"ref": "rishabhrathore055/simple-bert-mlp-perfect-for-nlp-beginners", "kernel_id": "43229414"}, {"ref": "areebsyed237/deberta-v3-base-eval", "kernel_id": "43111491"}, {"ref": "anubhavrajak/dl-architecture-10-features-bert-embedding", "kernel_id": "43661324"}, {"ref": "phnghiapro/tuned-debertav3-lgbm-autocorrect-merge-model", "kernel_id": "43975696"}, {"ref": "speedforceyt/commonlit-evaluate-student-summaries", "kernel_id": "43431732"}, {"ref": "omrigruman/baseline-mean-on-train-set", "kernel_id": "43494993"}, {"ref": "omrigruman/feature-engineering-xgb", "kernel_id": "43497408"}, {"ref": "omrigruman/tfidf-xgboost", "kernel_id": "43522214"}, {"ref": "omrigruman/deberta-v3", "kernel_id": "43760595"}, {"ref": "nlchen/commonlit-create-lgbm-features-new", "kernel_id": "43550225"}, {"ref": "amanmukati/common-lit-summaries-1", "kernel_id": "43324476"}, {"ref": "siddhvr/commonlit-ess-lgbm-autocorrect-deberta-v3-tuned", "kernel_id": "43727184"}, {"ref": "mohamedelmetwaly81/commonlit-evaluate-student-summaries", "kernel_id": "43021519"}, {"ref": "chezhira/student-summ-eval", "kernel_id": "43281884"}, {"ref": "chezhira/students-evaluation", "kernel_id": "43238505"}, {"ref": "snorfyang/commonlit-exp-e6-shigeria1", "kernel_id": "43406554"}, {"ref": "yusuphmustaphaladi/implementing-fastai-tabular", "kernel_id": "43811080"}, {"ref": "chiaenchen/student-summaries-transformer-nlp-regression", "kernel_id": "43588795"}, {"ref": "nhttinnguynbch/commonlit-ess-lgbm-autocorrect-deberta-v3-tuned", "kernel_id": "43738212"}, {"ref": "nhttinnguynbch/no-length-ratio-tuned-debertav3-lgbm-auto-5c48fc", "kernel_id": "43519111"}, {"ref": "parinlkhitworasak/csc494-id-246-debertav3-lgbm-autocorrect", "kernel_id": "43721136"}, {"ref": "musaalflat/in-less-than-3days", "kernel_id": "43879844"}, {"ref": "oleksiyshabo/homework-evaluate-student-summaries", "kernel_id": "43836991"}, {"ref": "enricomanosperti/evaluate-student-summaries", "kernel_id": "43539705"}, {"ref": "enricomanosperti/evaluate-student-summaries-with-text-embedding", "kernel_id": "43458644"}, {"ref": "enricomanosperti/commonlit-evaluate-student-summaries-with-tfds", "kernel_id": "43361085"}, {"ref": "aigerimtokhmetova/commonlit-nltk-xgboost", "kernel_id": "43113910"}, {"ref": "shido49221/csc494-49-tuned-debertav3-lgbm-autocorrect-0ff8d2", "kernel_id": "43436423"}, {"ref": "shido49221/csc494-lightgbm-optuna", "kernel_id": "43435232"}, {"ref": "shido49221/csc494-id-249-debertav3-lgbm-autocorrect", "kernel_id": "43582163"}, {"ref": "flakkyddon/commonlit-comp-pageii", "kernel_id": "43798573"}, {"ref": "pakpol/csc494-22-debertav3-lgbm-autocorrect", "kernel_id": "43437774"}, {"ref": "tymofiiponomarov/my-first-homework", "kernel_id": "43879909"}, {"ref": "nithinreddy90/commonlit-student-summaries-evaluation-part-2", "kernel_id": "43381631"}, {"ref": "nasutionizh/commonlit-evaluate-student-summaries-w-lr", "kernel_id": "43602865"}, {"ref": "kaineyamashiro/xgboost-and-tf-idf", "kernel_id": "43088283"}, {"ref": "kaineyamashiro/transformer-and-glove-model", "kernel_id": "43104972"}, {"ref": "khanghoang1215/csc494-39-debertav3-lgbm-autocorrect-optuna", "kernel_id": "43436425"}, {"ref": "galalqassas/commonlit-evaluate-student-summaries", "kernel_id": "43160056"}, {"ref": "nabileljabri/deberta", "kernel_id": "43469925"}, {"ref": "baijun01/amazing-notebook", "kernel_id": "43942736"}, {"ref": "baijun01/amazing", "kernel_id": "43938215"}, {"ref": "xinyilea/deberta-v3-pytorch", "kernel_id": "43512999"}, {"ref": "coinshot/evaluate-student-summaries-nlp-model", "kernel_id": "43422588"}, {"ref": "jasonheesanglee/lgbm-autocorrect-allmodels", "kernel_id": "43944338"}, {"ref": "purrrplehaze/hwnlp1", "kernel_id": "43878123"}, {"ref": "ilyataratorin/nlp-hm-1", "kernel_id": "43880822"}, {"ref": "yasinpr7/summaries-functional-model-callback", "kernel_id": "43991134"}, {"ref": "itsmeanszao/debertav3-lgbm-no-autocorrect", "kernel_id": "43395871"}, {"ref": "yuewang123/commonlit-ess-full-text-for-pseudo-labels", "kernel_id": "43275071"}, {"ref": "rengoto/decisiontree", "kernel_id": "43357772"}, {"ref": "kimseunghee/kr-code-comments-beginner-friendly-bert", "kernel_id": "43340408"}, {"ref": "ashwanichauhan999/debertav3-baseline-content-and-wording-models", "kernel_id": "43790983"}, {"ref": "justinaya/0-448-tuned-debertav3-lgbm-autocorrect-85348b", "kernel_id": "43307686"}, {"ref": "farhanarahman82/commonlit-nltk2", "kernel_id": "43042212"}, {"ref": "geoffreybeulque/commonlit-efficiency-final-submission", "kernel_id": "43236129"}, {"ref": "flag11/commit-evalute-bert", "kernel_id": "43486890"}, {"ref": "bestfittinggeek/autocorrect-1-1-0", "kernel_id": "43517072"}, {"ref": "romantevanian/evaluate-student-summaries-homework-2", "kernel_id": "43888325"}, {"ref": "minhsienweng/debert-v3-base-lightgbm-model-training", "kernel_id": "43128266"}, {"ref": "taraskolesnyk/notebookbea4628aca", "kernel_id": "43880858"}, {"ref": "takoihiraokazu/sub-ex263-seq4200", "kernel_id": "44256278"}, {"ref": "verracodeguacas/ensemble", "kernel_id": "44321163"}, {"ref": "koba35/infer-commonlit", "kernel_id": "44954879"}, {"ref": "jhony1/9th-place-efficiency-solution", "kernel_id": "44850914"}, {"ref": "jhony1/9th-place-efficiency-solution-training", "kernel_id": "44851355"}, {"ref": "kononenko/commonlit-ess-public-efficiency-lb-13th-place", "kernel_id": "44379806"}, {"ref": "conjuring92/g11-augmentations", "kernel_id": "44121295"}, {"ref": "aruaru0/0-433-0-434-emsemble", "kernel_id": "44225124"}, {"ref": "luki493/lgbm-ensemble-iter-e6-open", "kernel_id": "44650725"}, {"ref": "alexcei/fine-tuning-deberta-large-with-lora-adapter", "kernel_id": "44056726"}, {"ref": "bhavesjain/commonlit-ess-lgbm-autocorrect-deberta-v3-tuned", "kernel_id": "44059350"}, {"ref": "raki21/marked-summary-gen-efficient-v3xsmall", "kernel_id": "44401185"}, {"ref": "hideyukizushi/ess-train-inf-wc-f100-f101-f102-libfix", "kernel_id": "44348334"}, {"ref": "aleron751/sanseymysamba-final-solution", "kernel_id": "44861410"}, {"ref": "rohitsingh9990/commonlit-ensemble-new-v2", "kernel_id": "44221730"}, {"ref": "chumajin/commonlit2-4th-place-inference", "kernel_id": "44751932"}, {"ref": "aliabdin1/how-does-llm-multi-modality-work", "kernel_id": "44140590"}, {"ref": "aayushpatni/optuna-hf-training", "kernel_id": "44216356"}, {"ref": "syzong/fork-of-fork-of-bert-all-text-2297cf", "kernel_id": "44021311"}, {"ref": "animeshagrawal23/notebookf0048ffed0", "kernel_id": "44361706"}, {"ref": "fritzcremer/commonlit-ess-shakeup", "kernel_id": "44375727"}, {"ref": "mohammad2012191/custom-pooling-3-stages-stacking", "kernel_id": "44336802"}, {"ref": "emiria/cess-private-0-454-only-for-entertainment", "kernel_id": "44389684"}, {"ref": "emericjim/evaluate-student-summaries", "kernel_id": "44397151"}, {"ref": "notfound510/commonlit-evaluate-student-summaries-att2", "kernel_id": "44267018"}, {"ref": "tuhanumeyiragay/text-quality-as-theirphenotype", "kernel_id": "44227014"}, {"ref": "oleksiyshabo/validation-homework-evaluate-student-summaries", "kernel_id": "44553704"}, {"ref": "manjujangra/student-summary", "kernel_id": "44164531"}, {"ref": "stochoshi/fork-of-commonlit-d1-cpu-code-4-9fdc17", "kernel_id": "44733194"}, {"ref": "stochoshi/commonlit-d1-cpu-code-4", "kernel_id": "44373427"}, {"ref": "andreynesterov/commonlit-ess-debertav3base-xgb-lgbm-histgb", "kernel_id": "44149427"}, {"ref": "andreynesterov/commonlit-ess-bert-tiny-xgb-lgbm-cpu-only", "kernel_id": "44311296"}, {"ref": "yeuuuf/common-lit-base", "kernel_id": "44215903"}, {"ref": "areekuchvrakhde/commonlit-roberta-baseline", "kernel_id": "44691191"}, {"ref": "jasonheesanglee/datapreprocess", "kernel_id": "44320892"}, {"ref": "minhsienweng/tuned-debertav3-lgbm-a5524a", "kernel_id": "44190166"}, {"ref": "raki21/efficiency-3rd-place-training", "kernel_id": "45156970"}, {"ref": "jeniagerasimov/nlp-iasa-course-homework-5-commonlit-transformers", "kernel_id": "45031803"}, {"ref": "kpfmma/efficiency-2nd-place-inference-catboost", "kernel_id": "45031701"}, {"ref": "yuchen2066/common-lit-efficiency-track-27th", "kernel_id": "45495724"}, {"ref": "farzanansari/evaluate-student-summaries", "kernel_id": "46425381"}, {"ref": "akshayr18/nlp-features-gpu", "kernel_id": "46872288"}, {"ref": "akshayr18/nlp-prompt-gpu", "kernel_id": "46851861"}, {"ref": "akshayr18/nlp-only-preprocessing", "kernel_id": "46884800"}, {"ref": "zunoor/bert-and-its-variants-on-summary-evaluations", "kernel_id": "47425721"}, {"ref": "mkhoatd/lgbm-deberta-autocorrect-readability", "kernel_id": "47783301"}, {"ref": "akash080/fine-tuning-llm-for-scoring-llama-2", "kernel_id": "47404181"}, {"ref": "zunoor/matching-the-embeddings-of-summary-and-text", "kernel_id": "48515553"}, {"ref": "scottnewcomer/evaluate-summary-llm", "kernel_id": "48693317"}, {"ref": "fong144/fork-of-commonlit-student-summaries-evaluated", "kernel_id": "49504113"}, {"ref": "jarvis911/how-to-finetune-llms-with-lora", "kernel_id": "50794552"}, {"ref": "b4rsik/how-to-finetune-llms-with-lora", "kernel_id": "50500337"}, {"ref": "thegeek13242/debert", "kernel_id": "51881145"}, {"ref": "sabahesaraki/evaluate-student-summaries-llama-2", "kernel_id": "51045744"}, {"ref": "alejopaullier/aes-2-multi-class-classification-inference", "kernel_id": "53898953"}, {"ref": "annie210/0325dnlp-group", "kernel_id": "53296595"}, {"ref": "sayalisali/commonlit-multi-models", "kernel_id": "54532425"}, {"ref": "nguyentienanh1307/evaluating-llms", "kernel_id": "54785302"}, {"ref": "lofywu/debertav3-lgbm-no-autocorrect", "kernel_id": "56130227"}, {"ref": "iminmsmw/how-to-finetune-llms-with-lora", "kernel_id": "63637289"}, {"ref": "rockystats/llm-01-how-to-use-llms-with-hugging-face", "kernel_id": "64889147"}, {"ref": "nilanjanabh/embeddings", "kernel_id": "64956592"}, {"ref": "dolbokostya/fine-tuning-deberta-large-with-lora-adapter", "kernel_id": "66595263"}, {"ref": "zackjones94/commonlit-attempt-1", "kernel_id": "68904750"}, {"ref": "scarletmclearn/llm-04a-fine-tuning-llms", "kernel_id": "69336756"}, {"ref": "aslemimolu/introduction-to-transformers", "kernel_id": "69524713"}, {"ref": "umekko/evaluate-student-summaries", "kernel_id": "73449614"}, {"ref": "errorkeepcomoing/recipes-llama-fine-tuning", "kernel_id": "75927254"}, {"ref": "udayjoshiii/final-year-project-grp-1-e42f34", "kernel_id": "81129377"}, {"ref": "smnahidhasannascenia/transformer-implementation", "kernel_id": "88551104"}, {"ref": "verifyitisyou/fine-tuning-deberta-large-with-lora-adapter", "kernel_id": "88511588"}, {"ref": "ngbolm/commonlit-voai-practice", "kernel_id": "118479858"}]}
{"competition_id": "53497", "kernels": []}
{"competition_id": "53500", "kernels": [{"ref": "imlahsoffenburg/download-data", "kernel_id": "38842008"}, {"ref": "plarmuseau/ocr-images", "kernel_id": "39194283"}, {"ref": "lammbhs/submit-solution-rpc2023", "kernel_id": "40747995"}]}
{"competition_id": "53547", "kernels": []}
{"competition_id": "53553", "kernels": [{"ref": "spiruel/sciml-starter-notebook", "kernel_id": "39742060"}]}
{"competition_id": "53560", "kernels": [{"ref": "moritzm00/challenge-introduction", "kernel_id": "38726553"}, {"ref": "nikolashess/linkit-beginner-challenge-solution", "kernel_id": "39029041"}]}
{"competition_id": "53570", "kernels": [{"ref": "bioinform/data-loading", "kernel_id": "39880185"}, {"ref": "bioinform/feature-engineering", "kernel_id": "39890131"}, {"ref": "bioinform/model-training-and-evaluation", "kernel_id": "39896060"}, {"ref": "bioinform/model-optimization", "kernel_id": "39939330"}, {"ref": "bioinform/model-application", "kernel_id": "39943521"}, {"ref": "jelenatesic/t1try", "kernel_id": "40114482"}, {"ref": "kristijanjordanovski/ournotebook", "kernel_id": "40092483"}, {"ref": "natalia21/bio-plants", "kernel_id": "73462366"}]}
{"competition_id": "53590", "kernels": []}
{"competition_id": "53606", "kernels": []}
{"competition_id": "53618", "kernels": []}
{"competition_id": "53619", "kernels": []}
{"competition_id": "53623", "kernels": []}
{"competition_id": "53636", "kernels": []}
{"competition_id": "53654", "kernels": []}
{"competition_id": "53666", "kernels": [{"ref": "alejopaullier/introduction-to-lstm", "kernel_id": "36301983"}, {"ref": "andradaolteanu/zzz-good-night-sleep-with-80-memory-reduction", "kernel_id": "38428981"}, {"ref": "alinasri/sleep-data-analysis-some-eda", "kernel_id": "42901480"}, {"ref": "rimbax/statistical-feature-engineering", "kernel_id": "42994070"}, {"ref": "datark1/sleeping-patterns-eda", "kernel_id": "42988612"}, {"ref": "rishabh15virgo/cmi-dss-first-impression-data-understanding-eda", "kernel_id": "42929563"}, {"ref": "rishabh15virgo/understanding-the-competition-cmi-dss", "kernel_id": "42939486"}, {"ref": "docxian/detect-sleep-states-starter", "kernel_id": "42833287"}, {"ref": "dan3dewey/cmi-2023-sleepy-times", "kernel_id": "42883482"}, {"ref": "codlocker/cse-572-project", "kernel_id": "42995275"}, {"ref": "guidosalimbeni/experimenting-with-tensorflow-probability", "kernel_id": "42870091"}, {"ref": "clane9/cmi-sleep-visualization", "kernel_id": "42866577"}, {"ref": "patrick0302/viz-of-sleeping-time-series", "kernel_id": "42841744"}, {"ref": "mpwolke/zzzs-wake-up-kagglers", "kernel_id": "42841759"}, {"ref": "renatoreggiani/zzzs-reduce-memory-usage-cmi", "kernel_id": "42911128"}, {"ref": "renatoreggiani/zzzs-ensemble-model-cmi", "kernel_id": "42952285"}, {"ref": "renatoreggiani/lightgbm-starter-cmi", "kernel_id": "42961567"}, {"ref": "harriwashere/eda-accelerometer-based-sleep-analysis", "kernel_id": "42903097"}, {"ref": "andradaolteanu/zzz-in-depth-explore-spectrograms-fast-ai", "kernel_id": "42952095"}, {"ref": "dinowun/eda-simplified-detect-sleep-states", "kernel_id": "42838948"}, {"ref": "carlmcbrideellis/zzzs-random-forest-model-starter", "kernel_id": "42895766"}, {"ref": "carlmcbrideellis/zzzs-plots-of-all-277-anglez-and-enmo-series", "kernel_id": "42848626"}, {"ref": "carlmcbrideellis/zzzs-make-small-starter-datasets-target", "kernel_id": "42857404"}, {"ref": "carlmcbrideellis/zzzs-playing-with-the-competition-metric", "kernel_id": "42950314"}, {"ref": "tungdoan/child-mind-sleep-states-analysis-pyspark", "kernel_id": "42900970"}, {"ref": "ammarahmadqazi/anglez-enmo-distribution-for-onset-wakeup", "kernel_id": "42892613"}, {"ref": "ammarahmadqazi/onset-wakeup-frequency-in-train-events", "kernel_id": "42890704"}, {"ref": "ammarahmadqazi/random-forest-model-starter-updated", "kernel_id": "42935838"}, {"ref": "ammarahmadqazi/xgboost-notebook-updated", "kernel_id": "42950921"}, {"ref": "celiker/dss-simple-baseline", "kernel_id": "42873671"}, {"ref": "aliabdin1/child-mind-institute-fast-and-easy-eda", "kernel_id": "42834520"}, {"ref": "hoangminhduong/notebook7cd1dc621f", "kernel_id": "42861266"}, {"ref": "hoangminhduong/simple-classification-with-randomforest", "kernel_id": "42913388"}, {"ref": "adwitiya123/child-mind-institute-lgb-baseline", "kernel_id": "42908413"}, {"ref": "hidebu/eda-cmi-detect-sleep-states", "kernel_id": "42860875"}, {"ref": "bkowshik/dataset-detect-sleep-states", "kernel_id": "42918984"}, {"ref": "bkowshik/exploratory-data-analysis-detect-sleep-states", "kernel_id": "42891513"}, {"ref": "fengvm/detect-sleep-states-fast-timing-diagram", "kernel_id": "42842022"}, {"ref": "heymihir/cmi-cleaning-eda-visualizations", "kernel_id": "42976161"}, {"ref": "ahirao/child-sleep-states-data-understanding-note", "kernel_id": "42975907"}, {"ref": "henriupton/efficient-loading-memory-usage-visualizations-cmi", "kernel_id": "42900940"}, {"ref": "zhukovoleksiy/detect-sleep-states-baseline-solution", "kernel_id": "42956802"}, {"ref": "fritzcremer/mean-onset-wakeup-baseline", "kernel_id": "42856454"}, {"ref": "aditadd/notebooke765bb479d", "kernel_id": "42858601"}, {"ref": "ravi20076/sleepstate-eda-baseline", "kernel_id": "42872184"}, {"ref": "quillen/sleepstates-daylight-saving-time", "kernel_id": "42921504"}, {"ref": "meeratif/sleeping-curisity-data-visualization", "kernel_id": "42914580"}, {"ref": "meeratif/sleep-states-child-analysis-and-visualization", "kernel_id": "42897808"}, {"ref": "aaronka/child-mind-institute", "kernel_id": "42877293"}, {"ref": "uadithyan/detect-sleep-states-data-preparation", "kernel_id": "42968165"}, {"ref": "shivamsingh17072001/xgboost-starter-notebook", "kernel_id": "42940814"}, {"ref": "josipvrdoljak/zzzs-xgb-feature-eng", "kernel_id": "42916074"}, {"ref": "josipvrdoljak/cmi-starter-eda", "kernel_id": "42857989"}, {"ref": "sourabhsingh03993493/child-mind-rfc-submission", "kernel_id": "42931333"}, {"ref": "ahnafsadikinan21/sleeptrack", "kernel_id": "42871898"}, {"ref": "yuanjianli/eda-and-manipulations", "kernel_id": "42855197"}, {"ref": "alvrod/204-preprocessing-data", "kernel_id": "42937007"}, {"ref": "kuryakin/detect-sleep-states-merge-df", "kernel_id": "42862226"}, {"ref": "kuryakin/detect-sleep-states-generation-dataset", "kernel_id": "42990569"}, {"ref": "chrisk321/detect-sleep-states-initial-eda", "kernel_id": "42869389"}, {"ref": "enricomanosperti/detect-sleep-states-preprocessing-and-eda", "kernel_id": "42971678"}, {"ref": "ashishjagdishsharma/child-mind-institute-detect-sleep-states", "kernel_id": "42888601"}, {"ref": "nithinreddy90/cmi-sleep-analysis", "kernel_id": "42889839"}, {"ref": "haseebwar07/child-mind-institute-random-forest", "kernel_id": "42874894"}, {"ref": "alikarbala/detect-sleep-data-prep-3", "kernel_id": "42973163"}, {"ref": "satheeshbhukya1/detect-sleep-states", "kernel_id": "42984928"}, {"ref": "satheeshbhukya1/detect-sleep-states-event-ap", "kernel_id": "42991056"}, {"ref": "zeyulau/eda-noob-friendly-ver", "kernel_id": "42928881"}, {"ref": "rukenmissonnier/randomforestmodel-to-detect-sleep", "kernel_id": "42835415"}, {"ref": "mordecaionlinetv/viz-of-sleeping-time-series", "kernel_id": "42900429"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "oriolrabasseda/clean-dataset-dss", "kernel_id": "42912649"}, {"ref": "mitsuyasuhoshino/cmi-detectsleepstates-eda-visualization", "kernel_id": "42906276"}, {"ref": "sreekanthpolu/detect-sleep-in-simple-way", "kernel_id": "42892845"}, {"ref": "hahoochen/zh-en-data-cleaning-realistic-hunman-behavior", "kernel_id": "42959710"}, {"ref": "jdoesv/baseline-enmo-lr-rupture-feed", "kernel_id": "43577551"}, {"ref": "oraware/dask-data-processing-with-train-series", "kernel_id": "43389170"}, {"ref": "ayusov/split-and-save-train-data-set", "kernel_id": "43298272"}, {"ref": "ayusov/sleep-eda", "kernel_id": "43299242"}, {"ref": "ayusov/enrich-split-and-save-train-data-set", "kernel_id": "43812257"}, {"ref": "pehahn/features-around-events", "kernel_id": "43271035"}, {"ref": "pehahn/eda1-with-r", "kernel_id": "43264086"}, {"ref": "pehahn/zzzs-r-version", "kernel_id": "43324485"}, {"ref": "tolgadincer/sleep-state-fast-data-access-with-parquet", "kernel_id": "43419907"}, {"ref": "marcinstasko/zzz-tutorial-on-code-profiling-and-pipelinin", "kernel_id": "43494652"}, {"ref": "nhabib115/sleep-study-visualizations", "kernel_id": "43843076"}, {"ref": "gvyshnya/to-sleep-or-not-to-sleep-deep-eda-dive", "kernel_id": "43043862"}, {"ref": "gvyshnya/plotting-big-data-sleeping-series", "kernel_id": "43219183"}, {"ref": "gvyshnya/ts-windows-around-events", "kernel_id": "43895006"}, {"ref": "robikscube/sleep-states-events-file-update-viz", "kernel_id": "43374400"}, {"ref": "alamhanz/hourly-bucket-rf", "kernel_id": "43855657"}, {"ref": "junkoda/checking-daylight-saving-times", "kernel_id": "43884833"}, {"ref": "rimbax/detection-grouped-dataset-2nd-data-update", "kernel_id": "43459513"}, {"ref": "rimbax/detection-plots-of-all-277-series-with-flags", "kernel_id": "43558307"}, {"ref": "rimbax/detection-converting-hour-into-periodic-signal", "kernel_id": "43296674"}, {"ref": "rimbax/lightgbm-feature-implementation-from-paper", "kernel_id": "43191885"}, {"ref": "rimbax/detect-batch-dataset", "kernel_id": "43740968"}, {"ref": "rerere/detect-sleep-states-optimized-data-memory", "kernel_id": "43032559"}, {"ref": "rishabh15virgo/cmi-dss-knn-implementation", "kernel_id": "43018567"}, {"ref": "dan3dewey/cmi-2023-ap-metric-and-score", "kernel_id": "43161196"}, {"ref": "wchan757/lb-0-428-feature-engineering-rf-prediction", "kernel_id": "43711214"}, {"ref": "lccburk/sleep-data-exploration", "kernel_id": "43064754"}, {"ref": "lccburk/feature-engineering-and-random-forest-prediction", "kernel_id": "43235931"}, {"ref": "kei96kag/zzzs-glance-at-train-series-all-data-by-r", "kernel_id": "43292948"}, {"ref": "vinitkp/logisticregression-sleepstate", "kernel_id": "43140881"}, {"ref": "vinitkp/sleepstate-eda-r", "kernel_id": "43105396"}, {"ref": "mpwolke/the-zzzs-anglez-aka-z-angle", "kernel_id": "43230775"}, {"ref": "renatoreggiani/feature-eng-ideas-and-lightgbm-cmi", "kernel_id": "43004216"}, {"ref": "renatoreggiani/zzzs-feat-eng-ideas-60-memory-reduction", "kernel_id": "43032920"}, {"ref": "renatoreggiani/zzzs-viz-for-non-wear-events", "kernel_id": "43473194"}, {"ref": "harriwashere/xgboost-feature-eng-selection-and-submission", "kernel_id": "43084520"}, {"ref": "johnsonhk88/detect-sleep-states-for-child-ml-approach", "kernel_id": "43163184"}, {"ref": "carlmcbrideellis/zzzs-eda-utc-or-not-utc", "kernel_id": "43091072"}, {"ref": "aiaiaidavid/detect-sleep-states-interactive-eda-and-nn-model", "kernel_id": "43381960"}, {"ref": "ammarahmadqazi/eda-of-clean-training-data-with-269-series-id", "kernel_id": "43092398"}, {"ref": "alexsanderantunes/initial-data-exploration", "kernel_id": "43511832"}, {"ref": "justinmustaine/utc-fix", "kernel_id": "43073710"}, {"ref": "jailsonevora/ml-classification-problem-detect-sleep-states", "kernel_id": "43179503"}, {"ref": "bkowshik/time-series-window-around-onset-wakeup-events", "kernel_id": "43266993"}, {"ref": "dangnguyen97/lb-0-343-feature-eng-ideas-and-lightgbm-3", "kernel_id": "43379313"}, {"ref": "dangnguyen97/lb-0-350-feature-engineering-lightgbm", "kernel_id": "43387475"}, {"ref": "dangnguyen97/score-0-386-feature-engineering-random-forest", "kernel_id": "43568039"}, {"ref": "dangnguyen97/feature-engineering-randomforest-prediction", "kernel_id": "43757573"}, {"ref": "munumbutt/signal-processing-techniques", "kernel_id": "43271215"}, {"ref": "fengvm/detect-sleep-states-lstm-model", "kernel_id": "43046511"}, {"ref": "fengvm/accelerate-time-series-data-processing", "kernel_id": "43359882"}, {"ref": "seungmoklee/cmi-how-event-detection-ap-works", "kernel_id": "43598660"}, {"ref": "gauravk123/interactive-eda-per-subject-train-series-ts", "kernel_id": "43753251"}, {"ref": "jannikkalkmann/sleep-detection-eda", "kernel_id": "43676708"}, {"ref": "tubotubo/cmi-submit", "kernel_id": "43564884"}, {"ref": "jocelyndumlao/sleep-event-detection-eda", "kernel_id": "43075498"}, {"ref": "pauloyuncha/eda-which-makes-sense-beta", "kernel_id": "43153765"}, {"ref": "pauloyuncha/lb-0-36-removing-outliers-lightgbm-2-pp", "kernel_id": "43666602"}, {"ref": "haiderali20/sleep-or-awake", "kernel_id": "43080548"}, {"ref": "ravi20076/sleepstate-datacuration", "kernel_id": "43302189"}, {"ref": "ravi20076/sleepstate-baseline-models", "kernel_id": "43317595"}, {"ref": "jimmyisme1/full-convolution-u-time", "kernel_id": "43519922"}, {"ref": "kaggledummie007/train-series-of-week-and-longer-w-o-nans", "kernel_id": "43792220"}, {"ref": "smnuruzzaman/feature-engineering-and-ensemble", "kernel_id": "43984165"}, {"ref": "veronikasarikaya/it-s-a-wonderful-wonderful-sleep-eda", "kernel_id": "43646991"}, {"ref": "anilreddyvv/tackling-out-of-memory-issue-on-test-set", "kernel_id": "43140692"}, {"ref": "ifeanyichukwunwobodo/sleep-state-baseline-basic-feature-engineering", "kernel_id": "43556503"}, {"ref": "siddhvr/cmi-feature-engg-with-ensemble-models", "kernel_id": "43201886"}, {"ref": "siddhvr/randomforest-tweaked-hps", "kernel_id": "43345357"}, {"ref": "sarthak333/predict-sleep", "kernel_id": "43095044"}, {"ref": "josipvrdoljak/convert-features-to-save-memory", "kernel_id": "43095228"}, {"ref": "rohitchaudhari25/cmi-dss-23-94-86-reduction-20-14-line-scripts", "kernel_id": "43519000"}, {"ref": "sourabhsingh03993493/rfc-and-visualization", "kernel_id": "43005824"}, {"ref": "tramikan/what-s-event-detection-ap", "kernel_id": "43267256"}, {"ref": "sjlee101/how-to-use-a-metric-notebook-event-detection-ap", "kernel_id": "43509112"}, {"ref": "ahnafsadikinan21/sleeptrackwholedatamodel", "kernel_id": "43903102"}, {"ref": "michalinahulak/pl-easy-eda-sleep", "kernel_id": "43110611"}, {"ref": "michalinahulak/feature-engineering-and-rf-optuna", "kernel_id": "43558280"}, {"ref": "paypayojisan/child-mind-institute", "kernel_id": "43547770"}, {"ref": "miltiadesgeneral/detect-sleep-states-guidebook", "kernel_id": "43681400"}, {"ref": "indranujbanerjee/sleep-detect-conv1d-autoencoder2", "kernel_id": "43592968"}, {"ref": "enricomanosperti/detect-sleep-states-model", "kernel_id": "43768022"}, {"ref": "traceylott/detect-sleep", "kernel_id": "43475379"}, {"ref": "dishaasinghi/zzzzzz-w-b-to-be-continued", "kernel_id": "43130894"}, {"ref": "zotovaa/cmi-gradient-boosting-insomnia-research", "kernel_id": "43220042"}, {"ref": "khanhduongsc/randomforest-feature-engineering", "kernel_id": "43856442"}, {"ref": "khanhduongsc/check-submission", "kernel_id": "43588707"}, {"ref": "steveshooty/cpu-data-preprocessing-reduce-84-92", "kernel_id": "43525292"}, {"ref": "gyanprakashkushwaha/child-mind-institute-eda", "kernel_id": "43015177"}, {"ref": "peilwang/infer-notebook-ensemabl-pub", "kernel_id": "43741695"}, {"ref": "j12839/starter01", "kernel_id": "43391239"}, {"ref": "y299792/non-null-train-series-dataset", "kernel_id": "43280412"}, {"ref": "y299792/zzz-eda-dataset", "kernel_id": "43291429"}, {"ref": "adelinmil/cmi-eda-chunked-ds-memory-reduction", "kernel_id": "43015720"}, {"ref": "adelinmil/cmi-randomforestclassifier-fe", "kernel_id": "43095839"}, {"ref": "schobbejak/cmi-submission-team-epoch", "kernel_id": "43132067"}, {"ref": "arockianishas/cmi-detect-sleep-event", "kernel_id": "43359438"}, {"ref": "padmavathishilpa/child-mind-institute", "kernel_id": "43437284"}, {"ref": "ruiyaoyang/randomforest-version", "kernel_id": "43895094"}, {"ref": "marypy/zzzs-eda-utc-or-no-utc", "kernel_id": "43142579"}, {"ref": "pakornchunwirat/notebook9cf7adf42b", "kernel_id": "43716460"}, {"ref": "phamdinhduong/xgboost-bayesian", "kernel_id": "43672143"}, {"ref": "douglasbouchet/timestamp-converting-basic-data-reading-plotting", "kernel_id": "43880020"}, {"ref": "ayusov/sleep-state-and-change-point-detection", "kernel_id": "44016378"}, {"ref": "tolgadincer/sleep-sleep-vs-awake-period-comparison-with-pca", "kernel_id": "44368227"}, {"ref": "jjinho/simple-utc-conversion-using-polars", "kernel_id": "44920760"}, {"ref": "jjinho/cmi-sleep-detection-fast-fourier-transformation", "kernel_id": "44769466"}, {"ref": "gvyshnya/sleeping-series-integrity-check", "kernel_id": "44357568"}, {"ref": "matucker/aha-v3-sleep-event-viz", "kernel_id": "44047406"}, {"ref": "dan3dewey/cmi-2023-sleepy-times-phat-ml", "kernel_id": "44930380"}, {"ref": "crischir/zzzs-tensorflow-mockup", "kernel_id": "44593204"}, {"ref": "crischir/numpyzzzs-make-starter-datasets-keras-poc", "kernel_id": "44723281"}, {"ref": "crischir/zzzs-make-small-starter-datasets-target", "kernel_id": "44240151"}, {"ref": "riow1983/plotting-events-on-spectrograms", "kernel_id": "44120079"}, {"ref": "yihsuankao/sleep-eda-plots", "kernel_id": "44593952"}, {"ref": "yihsuankao/sleep-dummysubmission", "kernel_id": "44585575"}, {"ref": "itsuki9180/detect-sleep-states-inference", "kernel_id": "44947750"}, {"ref": "itsuki9180/detect-sleep-states-dataprepare", "kernel_id": "44945239"}, {"ref": "itsuki9180/detect-sleep-states-train", "kernel_id": "44945837"}, {"ref": "sumitai/zzzs-random-forest-classifier", "kernel_id": "44672708"}, {"ref": "edomingo/cmi-detect-sleep-states-intro-eda-and-baseline", "kernel_id": "44253892"}, {"ref": "andradaolteanu/llm-gen-text-distilbert-train-text-comparisons", "kernel_id": "44820831"}, {"ref": "timetoti/cmi-dss-infer-exponentially-dilated-u-net", "kernel_id": "44293350"}, {"ref": "bkowshik/annotations-per-day-detect-sleep-states", "kernel_id": "44683837"}, {"ref": "bkowshik/geocene-trainset-view-or-annotate-time-series", "kernel_id": "44413608"}, {"ref": "yeoyunsianggeremie/fe-ensemble-added-period-3600", "kernel_id": "44345415"}, {"ref": "mingkaizhu/train-series", "kernel_id": "44606385"}, {"ref": "nvithayapale/sleep-data-preprocessing", "kernel_id": "44400139"}, {"ref": "andreytikhomirov/eda-fe-introducing-seasons", "kernel_id": "44221480"}, {"ref": "andreytikhomirov/feature-selection-cv", "kernel_id": "44769217"}, {"ref": "sunyuri/cmi-u-net", "kernel_id": "44394836"}, {"ref": "aboutwonjun/ensemble-wonjun", "kernel_id": "44627918"}, {"ref": "evefpx/ml-exploaration", "kernel_id": "44337912"}, {"ref": "yuyauchi/feature-engineering-and-xgbclassifeir", "kernel_id": "44290329"}, {"ref": "yeskinkim/child-sleep-critical-point-regression", "kernel_id": "44179446"}, {"ref": "samandersson/sleep-critical-point-prepare-data", "kernel_id": "44934728"}, {"ref": "hapiwang/oct10main-test", "kernel_id": "44293748"}, {"ref": "dumisanisibanda/exploratory-accelerometer-data-analysis", "kernel_id": "44014521"}, {"ref": "siddhvr/cmi-ensembling-models-for-better-results", "kernel_id": "44115170"}, {"ref": "werus23/sleep-critical-point-infer", "kernel_id": "44118155"}, {"ref": "werus23/sleep-critical-point-train", "kernel_id": "44388127"}, {"ref": "werus23/sleep-critical-point-prepare-data", "kernel_id": "44461341"}, {"ref": "oliviergu/bchild3", "kernel_id": "44212111"}, {"ref": "sb0702/model-tensorflow-deep-learning-model", "kernel_id": "44473451"}, {"ref": "prajjwaldewangan/notebookd638c17d11", "kernel_id": "44650439"}, {"ref": "hisatotatsuoka/notebookcd3aaa4028", "kernel_id": "44179353"}, {"ref": "liushundawang/539-public-ensembleavg", "kernel_id": "44761162"}, {"ref": "tmvimfb/cmi-dss-polars-and-lightgbm-for-ram-management", "kernel_id": "44186703"}, {"ref": "khanhduongsc/gru-gru", "kernel_id": "44639030"}, {"ref": "mohammedalhamaky/notebook42aa0272a2-csv", "kernel_id": "44187364"}, {"ref": "daksh024/sleep-well", "kernel_id": "44033953"}, {"ref": "y299792/zzz-model-ipynb", "kernel_id": "44751509"}, {"ref": "rubyhartono/eda-child-mind-institute-detect-sleep-states", "kernel_id": "44678169"}, {"ref": "warintorntaw/datasciaraiwa", "kernel_id": "44326507"}, {"ref": "xquantum/sleep-pytorch-dnn", "kernel_id": "44951452"}, {"ref": "quangtruongnguyen/com01", "kernel_id": "44925608"}, {"ref": "alexryzhkov/get-kernels-stats-cm-institute-sleep-states", "kernel_id": "45302231"}, {"ref": "ayusov/testing-duckdb", "kernel_id": "45433825"}, {"ref": "ayusov/competition-r-code", "kernel_id": "45651602"}, {"ref": "usharengaraju/keras-grunn-w-b", "kernel_id": "45010836"}, {"ref": "sambitmukherjee/d-s-s-faster-r-cnn-submission", "kernel_id": "45159466"}, {"ref": "sambitmukherjee/d-s-s-faster-r-cnn-modeling", "kernel_id": "45586281"}, {"ref": "sambitmukherjee/d-s-s-faster-r-cnn-data-prep", "kernel_id": "45571434"}, {"ref": "uddeepawijerathna/child-mind-code-ubw", "kernel_id": "45865674"}, {"ref": "sakami/sakami-src-files", "kernel_id": "45930045"}, {"ref": "sakami/sakami-pip-wheels", "kernel_id": "45930379"}, {"ref": "itsuki9180/cmi-dss-debertav3-baseline-inference", "kernel_id": "45493484"}, {"ref": "itsuki9180/cmi-dss-debertav3-baseline-train", "kernel_id": "45464147"}, {"ref": "renatoreggiani/zzzs-how-to-optimize-models", "kernel_id": "45273782"}, {"ref": "nayanvarmaalluri/fe-ensemble-added-period-3600", "kernel_id": "45279680"}, {"ref": "sjoerdgnodde/zzzshorter-rf-shorter-runtime", "kernel_id": "45883383"}, {"ref": "atshimamura/datareviewandeasyprediction", "kernel_id": "45518478"}, {"ref": "atshimamura/intermediatedatageneration", "kernel_id": "45964391"}, {"ref": "atshimamura/datavisualization", "kernel_id": "45915362"}, {"ref": "tatamikenn/sleep-hdcza-a-pure-heuristic-approach-lb-0-447", "kernel_id": "45689863"}, {"ref": "hidebu/eda-understand-train-events-csv", "kernel_id": "45414761"}, {"ref": "hidebu/eda-investigate-ts-features", "kernel_id": "45472693"}, {"ref": "bkowshik/k-nearest-neighbours-detect-sleep-states", "kernel_id": "45677796"}, {"ref": "yeoyunsianggeremie/how-to-perform-cv-gradient-boosting", "kernel_id": "45259715"}, {"ref": "itzhv14/feature-selection-cv", "kernel_id": "45375799"}, {"ref": "sietseschrder/cmi-ensemble-inference-lb-0-736", "kernel_id": "45703034"}, {"ref": "danielphalen/cmss-grunet-infer", "kernel_id": "45544535"}, {"ref": "danielphalen/cmss-grunet-train", "kernel_id": "45530478"}, {"ref": "nathanh4903/tf-model", "kernel_id": "45606675"}, {"ref": "gauravk123/how-diff-feature-scaling-technique-effect-rf", "kernel_id": "45723007"}, {"ref": "prajui/coffee-2", "kernel_id": "45291131"}, {"ref": "fritzcremer/main-version", "kernel_id": "45211120"}, {"ref": "phuwichwinyutrakul/neural-network-child-sleep-pattern", "kernel_id": "45400415"}, {"ref": "evefpx/lightgbm-with-lids-and-different-rolling-time", "kernel_id": "45640349"}, {"ref": "adheeshagamage/detect-sleep-state-239316c", "kernel_id": "45868473"}, {"ref": "demko1/unetbigru-infer", "kernel_id": "45302060"}, {"ref": "wab109/gg-pirates-cmi-add-fft-test-for-submission", "kernel_id": "45980421"}, {"ref": "wab109/gg-pirates-cmi-fft-only-test-for-submission", "kernel_id": "45820040"}, {"ref": "leci37/preprocesing-manage-and-train-tf-add-lstm", "kernel_id": "45055183"}, {"ref": "luanhuynh/submit", "kernel_id": "45063860"}, {"ref": "luanhuynh/feature-engineering-prepare-data", "kernel_id": "45432759"}, {"ref": "luanhuynh/make-data-hoang", "kernel_id": "45961058"}, {"ref": "luanhuynh/train-with-lightgbm", "kernel_id": "45821913"}, {"ref": "luanhuynh/luan-train", "kernel_id": "45689536"}, {"ref": "chenyiwei2002/notebooke08907f61c", "kernel_id": "45532368"}, {"ref": "michalinahulak/easy-feature-extraction-modeling", "kernel_id": "45915793"}, {"ref": "miltiadesgeneral/visualizing-the-data", "kernel_id": "45139911"}, {"ref": "muratbarkinknay/notebook893c0d6b6a", "kernel_id": "45159883"}, {"ref": "messi42/detect-sleep-states-inference", "kernel_id": "45092112"}, {"ref": "zgnzekibozkurt/detect-sleep-states", "kernel_id": "45099059"}, {"ref": "lhongnguyn/make-data-hoang", "kernel_id": "45703707"}, {"ref": "mtoan65/notebook768b360503", "kernel_id": "45595724"}, {"ref": "sharko294/cmi-eda", "kernel_id": "45871056"}, {"ref": "unakarskywalker/mydataprepare", "kernel_id": "45191209"}, {"ref": "adheeshakalahegamage/group-notebook-group10-version-03", "kernel_id": "45934955"}, {"ref": "mnccheon/cmi-baseline", "kernel_id": "45052085"}, {"ref": "uomml23msc239315x/dm-group10-keabi-edirisinghe", "kernel_id": "45784755"}, {"ref": "uomml23msc239374b/child-mind-code-ubw", "kernel_id": "45934482"}, {"ref": "uomml23msc239369n/dm-project-239369n", "kernel_id": "45875253"}, {"ref": "uomml23msc239369n/group-notebook-group10-version1", "kernel_id": "45934277"}, {"ref": "kimseunghee/split-train-series-by-series-id", "kernel_id": "45843317"}, {"ref": "tomu0106/miss-tom", "kernel_id": "45688239"}, {"ref": "arunimarupalide/arunimade", "kernel_id": "45242153"}, {"ref": "kevin1028/detect-sleep-states-submission-110303515", "kernel_id": "45737866"}, {"ref": "changtunghan/sleep-dummysubmission-110303520", "kernel_id": "45730765"}, {"ref": "changtunghan/sleep-110303520-1", "kernel_id": "45733391"}, {"ref": "kaiwaiyang/notebook47f7c31ad8", "kernel_id": "45376232"}, {"ref": "kaiwaiyang/kw-v1", "kernel_id": "45336055"}, {"ref": "mdant15/the-ml-munchers-child-mind-institute", "kernel_id": "45274751"}, {"ref": "brendanengh/ma-test-submission", "kernel_id": "45104325"}, {"ref": "fred20978/randomforest", "kernel_id": "45314008"}, {"ref": "fred20978/rnn-with-full-description", "kernel_id": "45290322"}, {"ref": "fred20978/ensemble-model-cmi-fred", "kernel_id": "45255482"}, {"ref": "handlebee/detect-sleep-states-inference-explain-all", "kernel_id": "45101829"}, {"ref": "handlebee/detect-sleep-states-dataprepare-explain-all", "kernel_id": "45338238"}, {"ref": "chawinsuw/insertherecn240", "kernel_id": "45397930"}, {"ref": "linderlee/sleep1", "kernel_id": "45725545"}, {"ref": "shenghaonan/sleepyu-feature-engineering-and-model-training", "kernel_id": "45575108"}, {"ref": "shenghaonan/sleepyu-data-preparation-and-analysis", "kernel_id": "45575234"}, {"ref": "shenghaonan/ml-exploaration", "kernel_id": "45340018"}, {"ref": "siebhhd/club-cerveza", "kernel_id": "45932688"}, {"ref": "yvonneaab/cmi-detect-sleep-states-time-series-data-by-cnn", "kernel_id": "46279216"}, {"ref": "siiner/1dunet-training", "kernel_id": "46947013"}, {"ref": "sakami/sakami-156-gru-transformer-residual", "kernel_id": "46981700"}, {"ref": "sakami/sakami-148-gru-scale-factor", "kernel_id": "46980674"}, {"ref": "itsuki9180/cmi-dss-objdet-submission", "kernel_id": "46839882"}, {"ref": "tavoglc/sleep-states-classifier-model", "kernel_id": "46615993"}, {"ref": "takanashihumbert/a-simple-way-trying-to-find-the-dark-zones", "kernel_id": "46084830"}, {"ref": "chrisrichardmiles/eda-plotting-anglez-enmo-events-and-non-events", "kernel_id": "46429974"}, {"ref": "theviz/sleep-data-exploration", "kernel_id": "46374744"}, {"ref": "yashshah3010/cse-572-final-nb", "kernel_id": "46275157"}, {"ref": "atshimamura/semanticsegmentation", "kernel_id": "46900954"}, {"ref": "atshimamura/submitonlyinpasttime", "kernel_id": "46135904"}, {"ref": "atshimamura/lstm-predictionusinglstm-1", "kernel_id": "46614967"}, {"ref": "hongseoklee/cmss-grunet-train", "kernel_id": "46063547"}, {"ref": "hidebu/supporter-of-understanding-submission-metric", "kernel_id": "46438964"}, {"ref": "raufie/train-sleep-states", "kernel_id": "46017031"}, {"ref": "chauyh/kagglechildsleep-fast-ap-metric-computation", "kernel_id": "46460328"}, {"ref": "dongik9/1127227-randomforest", "kernel_id": "46920708"}, {"ref": "error404ntfound404/feature-engineering-and-random-forest-predi-e202bf", "kernel_id": "46724210"}, {"ref": "haiderali20/sleeporawake-modelling", "kernel_id": "46746329"}, {"ref": "sjyangkevin/sleep-study-gru-inference", "kernel_id": "46109643"}, {"ref": "dongyk/cmi-version1", "kernel_id": "46286354"}, {"ref": "amirmhd/cmi-detect-sleep-states", "kernel_id": "46245454"}, {"ref": "kazuakiohmori/averaging", "kernel_id": "46900509"}, {"ref": "sundarsripadavs/feature-engineering-and-random-forest-prediction", "kernel_id": "46884731"}, {"ref": "prebajracharya/child-mind-institute", "kernel_id": "46579354"}, {"ref": "syeshwanth/sleep-segementation-classification-using-tf", "kernel_id": "46516690"}, {"ref": "siddhvr/cmi-dss-infer-nb", "kernel_id": "46187672"}, {"ref": "siddhvr/cmi-dss-train-nb", "kernel_id": "46187155"}, {"ref": "wab109/gg-pirates-cmi-add-fft-test-window-size-2000", "kernel_id": "46069667"}, {"ref": "wab109/gg-pirates-cmi-add-fft-test-window-size-test", "kernel_id": "46072665"}, {"ref": "wab109/gg-pirates-cmi-add-fft-test-window-size-1000", "kernel_id": "46070319"}, {"ref": "wab109/gg-pirates-cmi-add-fft-test-window-size-250", "kernel_id": "46070836"}, {"ref": "wab109/gg-pirates-cmi-add-fft-test-window-size-500", "kernel_id": "46070628"}, {"ref": "wab109/gg-pirates-cmi-feat-imp-by-win-size-avg-std", "kernel_id": "46137121"}, {"ref": "wab109/gg-pirates-cmi-feat-imp-by-window-size", "kernel_id": "46127021"}, {"ref": "evaayase/cmi-submit", "kernel_id": "46955222"}, {"ref": "evaayase/cmss-grunet-train-aaf65c", "kernel_id": "46917629"}, {"ref": "keyoyo/sleep-detection", "kernel_id": "46497787"}, {"ref": "luanhuynh/lightgbm-cross-validation", "kernel_id": "46067296"}, {"ref": "luanhuynh/eda-accelerometer-based-sleep-analysis", "kernel_id": "46125755"}, {"ref": "aniketkolte04/cmi-detect-sleep-states-eda-pyspark", "kernel_id": "46273227"}, {"ref": "yassinabdulmahdi/just-testing", "kernel_id": "46357162"}, {"ref": "lhongnguyn/new-data", "kernel_id": "46463605"}, {"ref": "ryutoyoda/cmi-submission-yoda", "kernel_id": "46339340"}, {"ref": "furusawatomoki/child", "kernel_id": "46228239"}, {"ref": "y299792/zzz-lstm-model", "kernel_id": "46004961"}, {"ref": "nontapatb/notebook30acfd67a5", "kernel_id": "46874409"}, {"ref": "iluprdqynf/eda-accelerometer-based-sleep-analysis", "kernel_id": "46250531"}, {"ref": "uomml23msc239374b/sleep-states-classifier-model", "kernel_id": "46926610"}, {"ref": "zrwang2025/rcnn-model", "kernel_id": "46882948"}, {"ref": "zrwang2025/image-preprocess", "kernel_id": "46751906"}, {"ref": "jeonghosuh/notebook77909844ad", "kernel_id": "46563034"}, {"ref": "itoshirin/scoring-lgm", "kernel_id": "46554838"}, {"ref": "brandonleetsai/data-results", "kernel_id": "46170874"}, {"ref": "brandonleetsai/572-final-draft-notebook", "kernel_id": "46161430"}, {"ref": "tr1ple3k/cn240-892799", "kernel_id": "46988437"}, {"ref": "owenwuwu/ncu109602009", "kernel_id": "46971748"}, {"ref": "chenpengwei/sleep-dummysubmission-8344ed", "kernel_id": "46116627"}, {"ref": "kagglesunnyyy/zzz-lstm-model", "kernel_id": "46908840"}, {"ref": "zhangminyi1111/cmss-grunet-infer", "kernel_id": "46910038"}, {"ref": "jjojaebeom/cmi-test", "kernel_id": "46691023"}, {"ref": "jjojaebeom/cmi-train", "kernel_id": "46677330"}, {"ref": "jjojaebeom/cmi-data-preprocessing", "kernel_id": "46585509"}, {"ref": "najeebz/visualization-parallel-apply-multiprocessing-panda", "kernel_id": "46329157"}, {"ref": "najeebz/windowing-of-the-training-series", "kernel_id": "46947849"}, {"ref": "hkedwin/cmi-sleep-states-detection-with-naive-bayes-report", "kernel_id": "46623605"}, {"ref": "chawinsuw/randomforest-model-inserthere", "kernel_id": "46578200"}, {"ref": "bsublee/notebookc9ca83cf54", "kernel_id": "46674982"}, {"ref": "linderlee/cnn-submission", "kernel_id": "46925739"}, {"ref": "linderlee/cmi-submit", "kernel_id": "46926102"}, {"ref": "ddoddii/sleep-critical-point-prepare-data", "kernel_id": "46731959"}, {"ref": "prestonchang/notebook4d56dd172e", "kernel_id": "46818845"}, {"ref": "fakest/notebook7207132548", "kernel_id": "46235556"}, {"ref": "philipjaq/cmi-train-series-state", "kernel_id": "46569982"}, {"ref": "philipjaq/cminotebook", "kernel_id": "46551839"}, {"ref": "philipjaq/cmi-data-analysis", "kernel_id": "46407232"}, {"ref": "rsakata/cmi-14th-place-solution-train", "kernel_id": "47494400"}, {"ref": "rsakata/cmi-14th-place-solution-inference", "kernel_id": "47497190"}, {"ref": "qiaoshiji/lgb-inference-copy", "kernel_id": "47328342"}, {"ref": "shimacos/shimacos-pip-wheels", "kernel_id": "47190549"}, {"ref": "shimacos/shimacos-stacking-exp013-009-1minute-sampling", "kernel_id": "47190558"}, {"ref": "shimacos/cmi-gbdt-stacking-kami081-sakami179", "kernel_id": "47353235"}, {"ref": "nikhilmishradev/cmi-dss-final-sub-blend-new-postprocess", "kernel_id": "47343814"}, {"ref": "nikhilmishradev/fork-of-cmi-dss-final-sub-blend-new-postprocess", "kernel_id": "47863824"}, {"ref": "hutch1221/cmi-ensemble", "kernel_id": "47111741"}, {"ref": "cdeotte/11th-place-gold-cv-835-public-lb-788", "kernel_id": "47527359"}, {"ref": "sakami/sakami-179-gru-minute-embedding-sync", "kernel_id": "47190062"}, {"ref": "sakami/sakami-163-gru-sleep-target", "kernel_id": "47186700"}, {"ref": "sakami/sakami-stacking-004-transformer-category-padding", "kernel_id": "47304453"}, {"ref": "sakami/sakami-stacking-011-cnn-embedding-sync", "kernel_id": "47352252"}, {"ref": "kyakovlev/cmi-baseline-lgbm-v201", "kernel_id": "47307426"}, {"ref": "kami634/cmi-stackingx5-kami081-sakami179-opt", "kernel_id": "47359899"}, {"ref": "w5833946/cmi-lgb-v9-train-reproduce", "kernel_id": "47380556"}, {"ref": "w5833946/cmi-lgb-v9-predict-reproduce", "kernel_id": "47395414"}, {"ref": "ystsuji/cmi-fold-ensembliing-inference", "kernel_id": "47322476"}, {"ref": "kmat2019/cmisleep-training-sample-2ndplace-kmat", "kernel_id": "47779695"}, {"ref": "kmat2019/cmi-sleep-2ndplace", "kernel_id": "47787800"}, {"ref": "trasibulo/final-inference", "kernel_id": "47641040"}, {"ref": "kirderf/cmi-submit-9-models-1h-inference", "kernel_id": "47394701"}, {"ref": "kirderf/eval-child-mind-institute-detect-sleep-states", "kernel_id": "47290009"}, {"ref": "j112358/datavisualization", "kernel_id": "47582927"}, {"ref": "mingkaizhu/model-ensemble-mingkai-zhu", "kernel_id": "47196324"}, {"ref": "martinkatona/mat-2023-sleep", "kernel_id": "47255834"}, {"ref": "minzy98/mldl3", "kernel_id": "47117713"}, {"ref": "minzy98/mldl2ff", "kernel_id": "47994984"}, {"ref": "lizhecheng/detect-sleep-states-ensemble-lb-0-75-pb-0-8", "kernel_id": "47428293"}, {"ref": "lizhecheng/detect-sleep-states-ensemble-lb-0-761-pb-0-804", "kernel_id": "47428242"}, {"ref": "coyamax/cmi-infer-final", "kernel_id": "47221339"}, {"ref": "miraclejy/notebook880766feac", "kernel_id": "47843804"}, {"ref": "anastasya61/tes-dulu", "kernel_id": "47495591"}, {"ref": "roset42/notebook8e33e05ea4", "kernel_id": "47131906"}, {"ref": "roset42/sleep-dummysubmission", "kernel_id": "47131674"}, {"ref": "laijaihong/detect-sleep-states", "kernel_id": "47078136"}, {"ref": "najeebz/big-data-fast-sampling-simple-machine-learning", "kernel_id": "47369835"}, {"ref": "najeebz/big-data-timeseries-machine-learning-model-eval", "kernel_id": "47082846"}, {"ref": "najeebz/smart-features-basic-ml-quick-execution", "kernel_id": "47344406"}, {"ref": "anthoneoj/cmi-train-faster-r-cnn", "kernel_id": "47217600"}, {"ref": "anthoneoj/cmi-data-prep-v2-faster-r-cnn", "kernel_id": "47347236"}, {"ref": "anthoneoj/cmi-eda-faster-r-cnn", "kernel_id": "47157313"}, {"ref": "anthoneoj/cmi-infer-faster-r-cnn", "kernel_id": "47388359"}, {"ref": "shimacos/cmi-1st-place-solution-submit", "kernel_id": "48079973"}, {"ref": "nikamikhailava/deep-sleep-1", "kernel_id": "48045347"}, {"ref": "y299792/zzz-model-3-ipynb", "kernel_id": "48985099"}, {"ref": "y299792/zzz-model-2-ipynb", "kernel_id": "48889461"}, {"ref": "y299792/zzz-model-1-ipynb", "kernel_id": "48874949"}, {"ref": "ramymagdy5200/me-and-me-s", "kernel_id": "48038381"}, {"ref": "ahmadmustafaelsaid/ml-project-svm", "kernel_id": "48690229"}, {"ref": "caelhasse/cmi-deepgru-pytorch-adaptation-training", "kernel_id": "49558388"}, {"ref": "caelhasse/cmi-cnn-trans-gru-pytorch-adaptation-training", "kernel_id": "49999940"}, {"ref": "y299792/zzz-eval-ipynb", "kernel_id": "49306388"}, {"ref": "y299792/zzz-eval-1-ipynb", "kernel_id": "49391508"}, {"ref": "nicolasgonzalezmunoz/interactive-visualizations-plotly-datashader", "kernel_id": "49743403"}, {"ref": "tatamikenn/team-hms-clone-kagle-hms-bilzard-repo", "kernel_id": "50691105"}, {"ref": "volodymyrmakhotilo/u-time-gru", "kernel_id": "51582739"}, {"ref": "eclipser33/detectsleepstates-ml2", "kernel_id": "54360664"}, {"ref": "eclipser33/detectsleepstates-ml", "kernel_id": "54250193"}, {"ref": "bumstern/child-mind-institute", "kernel_id": "54066303"}, {"ref": "akibhussain/sleep-stage-classification", "kernel_id": "54279854"}, {"ref": "ameynarwadkar/random-forest-from-scratch", "kernel_id": "54800132"}, {"ref": "runner21st/fork-of-sleep-detector-d601fc", "kernel_id": "54719763"}, {"ref": "eclipser33/detectsleepstates-dl", "kernel_id": "56472945"}, {"ref": "up9r4d3/cmss-grunet-train", "kernel_id": "56953991"}, {"ref": "thnglhoi/sleep-critical-point-train", "kernel_id": "57728741"}, {"ref": "iambestfeeder/cmi-data-prepare", "kernel_id": "57802093"}, {"ref": "iambestfeeder/cmi-submission", "kernel_id": "57716123"}, {"ref": "iambestfeeder/cmi-data-prep", "kernel_id": "57708442"}, {"ref": "up9r4d3/cmss-grunet-infer", "kernel_id": "57096595"}, {"ref": "up9r4d3/feature-engineering-and-random-forest-prediction", "kernel_id": "57526780"}, {"ref": "up9r4d3/randomforest-tweaked-hps", "kernel_id": "57526738"}, {"ref": "phongnguyen13/ensemble", "kernel_id": "57791505"}, {"ref": "phongnguyen13/new-lgb", "kernel_id": "57768719"}, {"ref": "tlhmeomeo/sleep-critical-point-infer", "kernel_id": "57551442"}, {"ref": "tlhmeomeo/sleep-critical-point-prepare-data", "kernel_id": "57404823"}, {"ref": "tlhmeomeo/sleep-critical-point-train", "kernel_id": "57415082"}, {"ref": "anhnguyen2457/detect-sleep-states-eda", "kernel_id": "57608961"}, {"ref": "anhnguyen2457/srandom-forest-sleep", "kernel_id": "57750922"}, {"ref": "twebubble/detectsleepstates-dl-twe", "kernel_id": "58357506"}, {"ref": "eclipser33/detectsleepstates-dl-2", "kernel_id": "59051029"}, {"ref": "cardata/child-mind-institute-detect-sleep-states", "kernel_id": "59822028"}, {"ref": "chenhhhhaaaaa/gru-submission", "kernel_id": "60130833"}, {"ref": "winkaovo/child", "kernel_id": "60227543"}, {"ref": "abanoubyousef/detect-sleep-states-eda", "kernel_id": "61164718"}, {"ref": "abanoubyousef/chi-eda", "kernel_id": "62492796"}, {"ref": "abanoubyousef/cmi-train-u-net", "kernel_id": "64408506"}, {"ref": "mishudevadasan/g4-asds-5306-final", "kernel_id": "71363448"}, {"ref": "zyh1104/033-2-child-mind-institute-detect-sleep-states", "kernel_id": "71526241"}, {"ref": "zyh1104/033-1-final-inference", "kernel_id": "71526079"}, {"ref": "ankeshthota/notebook6d1c9ad08b", "kernel_id": "72039751"}, {"ref": "ankeshthota/feature-engineering-and-random-forest-prediction", "kernel_id": "72203476"}, {"ref": "jiawei12346/latest", "kernel_id": "72121275"}, {"ref": "rotemabend/detect-sleep-score-predict", "kernel_id": "78687577"}, {"ref": "muhammadusmansaeed/sleep-states-detection", "kernel_id": "80450089"}, {"ref": "kvsharshavardhan/sleep", "kernel_id": "80511176"}, {"ref": "heefjones/detect-sleep-states", "kernel_id": "80259205"}, {"ref": "dharavathsridhar/ml-final-project-ai-for-sleep-detection", "kernel_id": "81912737"}, {"ref": "bharathgundeboina/major-project-ai-for-sleepdetection", "kernel_id": "83186213"}, {"ref": "vishal050/notebookc5f9f8269a", "kernel_id": "85886304"}, {"ref": "daniyalatta/target-achieve-0-86-inshaallah", "kernel_id": "90139509"}, {"ref": "aaravswarnakar87415/child-mind-institute", "kernel_id": "97456837"}, {"ref": "irtazasheik/se-res-unet", "kernel_id": "98178291"}, {"ref": "hadighahroudi/detect-sleep-train-nn-on-full-dataset", "kernel_id": "116926961"}, {"ref": "meryemamr/notebookdcf13afbf4", "kernel_id": "116029099"}, {"ref": "harshitabisht5/notebookb5548eeeee", "kernel_id": "116831285"}, {"ref": "syqwqomg/git-debug", "kernel_id": "123132438"}, {"ref": "jmsansevero/m5-causal-timesfm-world-model", "kernel_id": "134545447"}]}
{"competition_id": "53710", "kernels": []}
{"competition_id": "53734", "kernels": []}
{"competition_id": "53740", "kernels": [{"ref": "qesait/notebook378d8bcce3", "kernel_id": "39140991"}, {"ref": "sonofr/novak-ml11-music", "kernel_id": "39140198"}, {"ref": "deurishhe/notebook6d7c103069", "kernel_id": "39114899"}, {"ref": "yusaho/dz-ipynb", "kernel_id": "39114886"}, {"ref": "deadpizza/notebook855b5c74c1", "kernel_id": "39109170"}, {"ref": "ilyapats/homework8", "kernel_id": "39110396"}]}
{"competition_id": "53809", "kernels": []}
{"competition_id": "53873", "kernels": [{"ref": "ignaciosoriaramirez/ml-workshop-code", "kernel_id": "39009805"}]}
{"competition_id": "53890", "kernels": []}
{"competition_id": "53911", "kernels": []}
{"competition_id": "53912", "kernels": []}
{"competition_id": "53916", "kernels": []}
{"competition_id": "53917", "kernels": []}
{"competition_id": "53918", "kernels": []}
{"competition_id": "53919", "kernels": []}
{"competition_id": "53920", "kernels": []}
{"competition_id": "53921", "kernels": []}
{"competition_id": "53953", "kernels": []}
{"competition_id": "53959", "kernels": []}
{"competition_id": "53986", "kernels": []}
{"competition_id": "53998", "kernels": [{"ref": "kashish50/store-sales-time-series", "kernel_id": "54389904"}, {"ref": "akioyamazaki/store-sales-time-series-forecasting-with-lightgbm", "kernel_id": "70034633"}, {"ref": "osmansevili/store-sales-time-series", "kernel_id": "96841561"}, {"ref": "zhouwenxuan5/notebookbd767aae42", "kernel_id": "122872061"}, {"ref": "kodanuki/notebook9a903b4c5f", "kernel_id": "125779172"}, {"ref": "maikarasumi/notebookbae4880fd2", "kernel_id": "125778862"}, {"ref": "kengoseno/notebook7f54081228", "kernel_id": "125774663"}, {"ref": "okakai/datescience", "kernel_id": "125774030"}, {"ref": "h444inkaggle/notebooke1b594f99a", "kernel_id": "126542746"}, {"ref": "maikarasumi/notebook230a1f2193", "kernel_id": "126560528"}, {"ref": "yamashitataisei/data-science-storesales-2", "kernel_id": "127549916"}, {"ref": "kodanuki/notebook59ae1e6325", "kernel_id": "128459181"}, {"ref": "xialiyang/notebooke1b594f99a", "kernel_id": "128458945"}]}
{"competition_id": "54000", "kernels": [{"ref": "scprosai/embryo-classification", "kernel_id": "43872610"}, {"ref": "hoanganhdsai/embryo-classification-keras-efficiennet", "kernel_id": "43941605"}, {"ref": "hoanganhdsai/embryo-classification-pytorch", "kernel_id": "43872532"}, {"ref": "stpeteishii/embryo-quality-pytorch-lightning-cnn", "kernel_id": "44856667"}, {"ref": "agshiv92/baseline-for-embryo-classification", "kernel_id": "44408035"}, {"ref": "georgedoukas/embryon-fastai-crossvalidation", "kernel_id": "44335200"}, {"ref": "seeingtimes/embryo-classification", "kernel_id": "44861611"}, {"ref": "gracetr/midterm-embryo", "kernel_id": "44962009"}, {"ref": "kennethrodrigues/embryo-classification-using-vgg", "kernel_id": "44634915"}, {"ref": "soyabulislamlincoln/computer-vision-opencv-tutorial-embrio-classes", "kernel_id": "44684500"}, {"ref": "plephu/phamlephu-gk", "kernel_id": "44074378"}, {"ref": "huynhlekhoi/midterm-ex3-embryoclassification", "kernel_id": "44588165"}, {"ref": "huynhlekhoi/midterm-ttth-embryo-classification", "kernel_id": "44157117"}, {"ref": "nduyhk/ngocduy-dinh-midterm", "kernel_id": "44157749"}, {"ref": "theguardian11/embryo-classification", "kernel_id": "44966707"}, {"ref": "ltntin/letantien-middletest-cau3", "kernel_id": "44358874"}, {"ref": "ptta704/irispham", "kernel_id": "44291790"}, {"ref": "adisak/embryo-classification-v1", "kernel_id": "45192149"}, {"ref": "rajsahu2004/pytorch-tinyvgg", "kernel_id": "45070635"}, {"ref": "huyphanquang/phanquanghuy-solution", "kernel_id": "45073496"}, {"ref": "hoanganhdsai/embryo-top1-check", "kernel_id": "47135293"}, {"ref": "anle404/embryo-classification", "kernel_id": "47932974"}, {"ref": "kghsdajhfj/embryo-class-1", "kernel_id": "48107727"}, {"ref": "serbandoncean/notebookc3c3ecb67a", "kernel_id": "49396331"}, {"ref": "stpeteishii/embryo-quality-pytorch-lightning-w-onnx", "kernel_id": "59360885"}, {"ref": "creatorlogs/embryo-classification-tensorflow-cnn-98-acc", "kernel_id": "61356739"}, {"ref": "swayamvishwakarma/embryo-quality", "kernel_id": "79728832"}, {"ref": "nirmalgaud/good-and-bad-embryo-classification", "kernel_id": "87055158"}]}
{"competition_id": "54001", "kernels": [{"ref": "tracyporter/gpa-tf-ann-rmsprop", "kernel_id": "39214754"}, {"ref": "emrullahyediyildiz/beginners-prediction-task", "kernel_id": "89582118"}]}
{"competition_id": "54007", "kernels": [{"ref": "jongukkim/notebook98a62d023a", "kernel_id": "39144046"}, {"ref": "angellapark/5th-test-t2-question-230529-try-1-notebook", "kernel_id": "39181911"}, {"ref": "sungyune/type2-5-regression", "kernel_id": "39196705"}, {"ref": "eunseoyi/682-hazzang-baseline-0529", "kernel_id": "39164743"}, {"ref": "minjunim/5-xgb-rmse-1240", "kernel_id": "39526307"}, {"ref": "lewiskiwonlee/607-leekiwon-p", "kernel_id": "39167771"}, {"ref": "gyumin98/5th-2", "kernel_id": "39288246"}, {"ref": "gisdasdwwd/notebook1e22c603a3", "kernel_id": "39541218"}, {"ref": "coldjellyfish/notebook31fca0eb74", "kernel_id": "39254315"}, {"ref": "minheeyu/notebook1d8d1291c5", "kernel_id": "39189572"}, {"ref": "ildongkim/notebookcid0529", "kernel_id": "39180959"}, {"ref": "changhohanhans/5th-exam-ex-230529", "kernel_id": "39162829"}, {"ref": "inhyedddd/notebook473391047a", "kernel_id": "39176481"}, {"ref": "mmelove/bigdaddy674-type2", "kernel_id": "39162568"}, {"ref": "koyorobo/kak-t2-first-try", "kernel_id": "39161031"}, {"ref": "juneyoungchang/notebook8ee63d5e67", "kernel_id": "39163362"}, {"ref": "ieejunho/notebook3f94f23616", "kernel_id": "39171006"}, {"ref": "yunn2023/notebook-try-bigdata2", "kernel_id": "39201461"}, {"ref": "joongram1/notebook7bbc9b6d5f", "kernel_id": "40188761"}, {"ref": "minjunim/5-lgbm-rmse-1249", "kernel_id": "40224929"}, {"ref": "hyeonseung112/notebookea91eac21a", "kernel_id": "40305226"}, {"ref": "tofuchu/5th-bigdata", "kernel_id": "45674849"}, {"ref": "faeqsu10/big-data-analytics-certification-kr-2023-5th", "kernel_id": "60110038"}, {"ref": "hysnnng/5th-t2", "kernel_id": "60504317"}, {"ref": "tomkk00/5th-t2-5-2", "kernel_id": "60119633"}, {"ref": "jieunyeo/notebook972f2facd1", "kernel_id": "71572834"}, {"ref": "mbko2000/5th-2nd", "kernel_id": "71437120"}, {"ref": "seohyunjade/notebook8f6b93558e-jade", "kernel_id": "85239598"}]}
{"competition_id": "54014", "kernels": []}
{"competition_id": "54017", "kernels": [{"ref": "toeysirin/cro-predict", "kernel_id": "43701475"}, {"ref": "pongsaratchootai/pongsaratc", "kernel_id": "44761622"}, {"ref": "punnarun/notebook7997e1f8be", "kernel_id": "79336727"}]}
{"competition_id": "54019", "kernels": []}
{"competition_id": "54025", "kernels": [{"ref": "alexgrander/bert-roberta", "kernel_id": "39222299"}, {"ref": "alexgrander/bert-lstm", "kernel_id": "39741973"}, {"ref": "alexgrander/bert-mask", "kernel_id": "39778102"}, {"ref": "zhangxiang818/sentiment-analysis-1-0", "kernel_id": "39734969"}]}
{"competition_id": "54041", "kernels": [{"ref": "vijaylaxminishad/notebookbdaa0463fd", "kernel_id": "39215241"}, {"ref": "fahadp/notebook35126ba6a6", "kernel_id": "39294817"}, {"ref": "himanshunayal/seam-carving-eafi-test-data", "kernel_id": "39417004"}, {"ref": "himanshunayal/extracting-attributes-from-fashion-images-infer", "kernel_id": "39251156"}, {"ref": "himanshunayal/eafi-convnextv2tiny-train", "kernel_id": "39211886"}, {"ref": "arfanmd/cnn-fashion-dataset", "kernel_id": "39212377"}, {"ref": "shiwamshoryasharma/trouserfashionclassification", "kernel_id": "39599414"}, {"ref": "jayakumaranr/stylumiafinal", "kernel_id": "39275543"}, {"ref": "abhishek725kumar/notebookc239a6fa51", "kernel_id": "39217347"}, {"ref": "kirubanithi1304/notebookf2feae291f", "kernel_id": "39548668"}, {"ref": "ms19cs058/notebook99b70572fd", "kernel_id": "39500129"}, {"ref": "asrvastava/eafi-convnextv2tiny", "kernel_id": "49870100"}]}
{"competition_id": "54059", "kernels": []}
{"competition_id": "54061", "kernels": []}
{"competition_id": "54066", "kernels": []}
{"competition_id": "54068", "kernels": []}
{"competition_id": "54074", "kernels": []}
{"competition_id": "54084", "kernels": [{"ref": "justinlin888/notebook1f3aab0305", "kernel_id": "43165433"}, {"ref": "justinlin888/notebook1f3aab0305-a25e58", "kernel_id": "43568084"}, {"ref": "cemadatepe1/hw1p2-chada", "kernel_id": "43464649"}, {"ref": "justinlincmu/notebook1f3aab0305", "kernel_id": "43471637"}, {"ref": "justinlincmu/notebook1f3aab0305-a25e58", "kernel_id": "43612995"}, {"ref": "justinlincmu888/notebook1f3aab0305-a25e58", "kernel_id": "43619769"}, {"ref": "justinlin888cmu123/notebook1f3aab0305-a25e58", "kernel_id": "43692545"}]}
{"competition_id": "54139", "kernels": []}
{"competition_id": "54183", "kernels": [{"ref": "satriosnjya/2-sample-code", "kernel_id": "39301284"}, {"ref": "manishkumar7432698/starter-notebook-top-score-0-81699", "kernel_id": "39395764"}]}
{"competition_id": "54204", "kernels": []}
{"competition_id": "54224", "kernels": []}
{"competition_id": "54257", "kernels": []}
{"competition_id": "54364", "kernels": [{"ref": "wlifferth/part-5-okay-fine-let-s-throw-a-neural-net-at-it", "kernel_id": "39674342"}, {"ref": "wlifferth/part-2-5-understanding-precision-recall-and-f1", "kernel_id": "39612314"}, {"ref": "wlifferth/part-4-powering-up-our-model", "kernel_id": "39510847"}, {"ref": "wlifferth/part-1-python-crash-course", "kernel_id": "39505173"}, {"ref": "wlifferth/part-2-exploratory-data-analysis", "kernel_id": "39505434"}, {"ref": "wlifferth/part-3-building-a-basic-model-and-submitting", "kernel_id": "39505926"}, {"ref": "kkhandekar/boost-is-the-secret-of-my-classification", "kernel_id": "39681948"}, {"ref": "tracyporter/card-fraud-tf", "kernel_id": "39799483"}, {"ref": "cacaprog/data-analysis", "kernel_id": "39595927"}, {"ref": "cacaprog/fraud-detection", "kernel_id": "39710322"}, {"ref": "josuehuaman/glob-hack-week-dete-cred-card-fraud-solution", "kernel_id": "39624264"}, {"ref": "trishatomy/part-5-okay-fine-let-s-throw-a-neural-net-at-it", "kernel_id": "39676726"}, {"ref": "trishatomy/deep-learning-with-smote-try-2", "kernel_id": "39768829"}, {"ref": "trishatomy/sequential-model-for-credit-card-fraud-detection", "kernel_id": "39738495"}, {"ref": "trishatomy/credit-card-fraud-solution-trials", "kernel_id": "39742985"}, {"ref": "respectfully/logistic-vs-linear-regression-test-eda-1", "kernel_id": "39635463"}, {"ref": "swapnapratimbhaumik/part-2-exploratory-data-analysis-6e4b4c", "kernel_id": "39626397"}, {"ref": "emilymarieahtnan/credit-card-fraud-detection-using-machine-learning", "kernel_id": "39730859"}]}
{"competition_id": "54385", "kernels": [{"ref": "h2osir/this-is-test", "kernel_id": "39569209"}]}
{"competition_id": "54483", "kernels": [{"ref": "tracyporter/covid-tf-cnn", "kernel_id": "39739739"}]}
{"competition_id": "54556", "kernels": []}
{"competition_id": "54557", "kernels": [{"ref": "abocadobaby/lgbm-imputation-pca", "kernel_id": "40138267"}]}
{"competition_id": "54558", "kernels": []}
{"competition_id": "54559", "kernels": []}
{"competition_id": "54639", "kernels": []}
{"competition_id": "54662", "kernels": [{"ref": "quctngngvng/hoiquytuyentinh", "kernel_id": "33261979"}, {"ref": "philippsinger/h2ogpt-perplexity-ranking", "kernel_id": "40988559"}, {"ref": "inversion/science-exam-simple-approach-w-model-hub", "kernel_id": "40771564"}, {"ref": "seshurajup/llm-science-exam-eda", "kernel_id": "40984512"}, {"ref": "wlifferth/starter-notebook-ranked-predictions-with-bert", "kernel_id": "40898870"}, {"ref": "takamichitoda/llm-dl-training-libraries", "kernel_id": "40990724"}, {"ref": "vinitkp/interact-with-data", "kernel_id": "40984225"}, {"ref": "zifencai/deberta-v3-large-inference", "kernel_id": "40993588"}, {"ref": "mpwolke/llm-science-exam-failure", "kernel_id": "40977604"}, {"ref": "nbroad/create-science-wikipedia-dataset", "kernel_id": "40981942"}, {"ref": "leonidkulyk/eda-data-gathering-llm-se-wiki-stem-1k-ds", "kernel_id": "40975154"}, {"ref": "aliabdin1/llm-03l-building-llm-chains-lab", "kernel_id": "40930084"}, {"ref": "aliabdin1/llm-01l-how-to-use-llms-with-hugging-face-lab", "kernel_id": "40621401"}, {"ref": "aliabdin1/llm-02l-embeddings-vector-databases-and-search", "kernel_id": "40632606"}, {"ref": "aliabdin1/llm-01-how-to-use-llms-with-hugging-face", "kernel_id": "40286328"}, {"ref": "aliabdin1/llm-02-embeddings-vector-databases-and-search", "kernel_id": "40286791"}, {"ref": "aliabdin1/llm-06-llmops", "kernel_id": "40467807"}, {"ref": "aliabdin1/llm-05-biased-llms-and-society", "kernel_id": "40357383"}, {"ref": "aliabdin1/llm-04b-evaluating-llms", "kernel_id": "40339008"}, {"ref": "aliabdin1/llm-04a-fine-tuning-llms", "kernel_id": "40334066"}, {"ref": "kanisfatemashanta/science-exam-simple-approach-w-model-hub", "kernel_id": "40990576"}, {"ref": "vad13irt/starter-notebook-deberta-base-lr-3e-5-7-epochs", "kernel_id": "40976340"}, {"ref": "hidngnguyna/llm-science-exam-eda", "kernel_id": "40988591"}, {"ref": "ayushs9020/understanding-the-competition-kaggle-llm", "kernel_id": "40999278"}, {"ref": "jhoward/getting-started-with-llms", "kernel_id": "41781735"}, {"ref": "philippsinger/h2ogpt-gm-oasst1-en-2048-open-llama-7b", "kernel_id": "41003233"}, {"ref": "philippsinger/sci-llm-pip", "kernel_id": "41005217"}, {"ref": "philippsinger/sci-llm-pip-v2", "kernel_id": "41070900"}, {"ref": "radek1/an-introduction-to-voting-ensemble", "kernel_id": "41872478"}, {"ref": "radek1/inference-using-3-trained-deberta-v3-models", "kernel_id": "41780026"}, {"ref": "radek1/new-dataset-deberta-v3-large-training", "kernel_id": "41284314"}, {"ref": "radek1/best-open-source-llm-starter-pack", "kernel_id": "41371586"}, {"ref": "delayedkarma/llm-qa-bert-basic-lb0-563", "kernel_id": "41142054"}, {"ref": "delayedkarma/llm-qa-deberta-basic-lb0-603", "kernel_id": "41182905"}, {"ref": "jjinho/open-book-llm-science-exam", "kernel_id": "41140373"}, {"ref": "quangbk/open-book-llm-science-exam-reduced-ram-usage", "kernel_id": "41556211"}, {"ref": "kim145/tokens-distribution-words-analysis", "kernel_id": "41122201"}, {"ref": "shams1/exam-science", "kernel_id": "41067881"}, {"ref": "anubhav1302/llm-evaluation-t5-encoder-similarity-score", "kernel_id": "41067717"}, {"ref": "charlesfrye/getting-started-with-llms", "kernel_id": "41977093"}, {"ref": "namgalielei/debertav3-base-multiplechoice", "kernel_id": "41023545"}, {"ref": "namgalielei/deberta-v3-large-finetune-wikidata5k-1k", "kernel_id": "41261293"}, {"ref": "namgalielei/prefixtuninglm-infer-5folds", "kernel_id": "41781957"}, {"ref": "namgalielei/prefixtuninglm-training", "kernel_id": "41758324"}, {"ref": "namgalielei/foldsplit", "kernel_id": "41585985"}, {"ref": "johnowhitaker/benchmark-gpt3-5", "kernel_id": "41865529"}, {"ref": "zakirkhanaleemi/science-exam-v3", "kernel_id": "41029813"}, {"ref": "zakirkhanaleemi/ensamble-voting-technique-for-llm-science-exam", "kernel_id": "41961754"}, {"ref": "takamichitoda/llm-perplexity-ranking-ensemble", "kernel_id": "41013798"}, {"ref": "tanreinama/t5-loss-scoring-for-llm-science-exam", "kernel_id": "41018375"}, {"ref": "alenic/simple-flan-t5-large", "kernel_id": "41130567"}, {"ref": "satyabrat35/lb-710-t5-with-merged-deberta", "kernel_id": "41275567"}, {"ref": "mjulianimsj75/new-dataset-deberta-v3-large-training", "kernel_id": "41871762"}, {"ref": "zzy990106/llama-7b-infer", "kernel_id": "41567492"}, {"ref": "errolpereira/flan-t5-xl-one-option-at-a-time", "kernel_id": "41931813"}, {"ref": "conjuring92/d01-wiki-urls", "kernel_id": "41536783"}, {"ref": "franksunp/memo-some-needed-knowledge-for-the-competition", "kernel_id": "41111048"}, {"ref": "stpeteishii/llm-science-exam-answers-are-text-dataset", "kernel_id": "41155544"}, {"ref": "mathjulian/debertav2-xxl-simple-approach", "kernel_id": "41986834"}, {"ref": "takanashihumbert/llm-extra-data-with-cv-and-earlystopping", "kernel_id": "41347040"}, {"ref": "quekyaojing/graph-approaches-for-eda-solution", "kernel_id": "41051541"}, {"ref": "averma111/pytroch-llm-science-exam", "kernel_id": "41447494"}, {"ref": "deshwalmahesh/build-llama-from-scratch-step-by-step-guide", "kernel_id": "41987041"}, {"ref": "techthiyanes/llm-train-bloom", "kernel_id": "41631637"}, {"ref": "prajwalsood/2023kagglellm-deberta-v3-large-model1-inference", "kernel_id": "41992770"}, {"ref": "ashingtonwaweru/ansquest-multipred", "kernel_id": "41930567"}, {"ref": "leonidkulyk/lb-0-709-llm-se-deberta-v3-large-i-1k-wiki", "kernel_id": "41075231"}, {"ref": "leonidkulyk/lb-0-709-llm-se-deberta-v3-large-t-1k-wiki", "kernel_id": "41073142"}, {"ref": "tesnimglen/llm-science-exam-text-preprocessing-eda", "kernel_id": "41563541"}, {"ref": "mayank00rastogi/falcon-7b-llm-qlora-w-b", "kernel_id": "41021181"}, {"ref": "mayank00rastogi/deberta-v3-xlargemcq-s-ipynb", "kernel_id": "41001896"}, {"ref": "mayank00rastogi/falcon-7b-inferencing", "kernel_id": "41210649"}, {"ref": "lonnieqin/llm-science-exam-with-alpaca", "kernel_id": "41003903"}, {"ref": "lonnieqin/download-alpaca", "kernel_id": "41007314"}, {"ref": "datafan07/single-model-rewardtrainer-lora-llm", "kernel_id": "41857292"}, {"ref": "aliabdin1/llm-05l-biased-llms-and-society-lab", "kernel_id": "41103503"}, {"ref": "aliabdin1/llm-04l-fine-tuning-llms-lab", "kernel_id": "41069682"}, {"ref": "aliabdin1/llm-03-building-llm-chain", "kernel_id": "41331586"}, {"ref": "debarshichanda/llm-evaluation-mmlu-style", "kernel_id": "41008447"}, {"ref": "debarshichanda/qlora-falcon-7b-training", "kernel_id": "41005590"}, {"ref": "chep66/lb-0-709-llm-se-deberta-v3-large-t-1k-wiki", "kernel_id": "41445724"}, {"ref": "wangyuren/llmscienceexamlangchain", "kernel_id": "41823811"}, {"ref": "maxperozek/fine-tuning-bert-multiple-choice-tf", "kernel_id": "41443790"}, {"ref": "itaykoren2/llm-science-exam-bert-base-uncased", "kernel_id": "41189659"}, {"ref": "j13mehul/learning-approaches-embedding-finetuning", "kernel_id": "41690147"}, {"ref": "maksymyevchuk/hw-hillel2", "kernel_id": "41073191"}, {"ref": "evgeniyvigurskiy/bert-qlora-inference-ipynb", "kernel_id": "41542644"}, {"ref": "deepaktripathiuk/simple-solution-with-universal-sentence-encoder", "kernel_id": "41631407"}, {"ref": "deepaktripathiuk/bart-and-flan-t5", "kernel_id": "41689037"}, {"ref": "pysongwang/gzip-knn", "kernel_id": "41101395"}, {"ref": "hycloud/2023kagglellm-deberta-v3-large-model1-inference", "kernel_id": "41764851"}, {"ref": "judehunt23/llm-science-exam-wikipedia-graph-analysis", "kernel_id": "41187062"}, {"ref": "judehunt23/data-collection-training-data-wiki-pages", "kernel_id": "41210687"}, {"ref": "dariussingh/llm-science-simple-ensemble-inference", "kernel_id": "41306748"}, {"ref": "jocelyndumlao/llms-challenging-scientific-queries", "kernel_id": "41215494"}, {"ref": "letuanm/bert-uncased-sequence-classification", "kernel_id": "41874903"}, {"ref": "simonemento/llm-science-exam", "kernel_id": "41631485"}, {"ref": "antonio1001/llm-science-exam-text-preprocessing-eda", "kernel_id": "41886189"}, {"ref": "maverickss26/lb-0-733-llm-science-exam", "kernel_id": "41035955"}, {"ref": "gokifujiya/llm-science-exam-with-bert-baseline", "kernel_id": "41286060"}, {"ref": "satyaprakashshukl/llm-extra-data-with-cv-and-earlystopping", "kernel_id": "41436129"}, {"ref": "satyaprakashshukl/kaggle-llm-science", "kernel_id": "41063335"}, {"ref": "aaric22/science-exam-beginner-guide-with-model-hub", "kernel_id": "41239041"}, {"ref": "markusdarkus/eda-some-models-some-other-smth", "kernel_id": "41007163"}, {"ref": "amulil/vicuna-7b-v1-3-perplexity-ranking", "kernel_id": "41089975"}, {"ref": "rajatraj0502/kaggle-llm-science-exam", "kernel_id": "41243985"}, {"ref": "spike8086/the-easiest-llm-example-with-bi-lstm", "kernel_id": "41291669"}, {"ref": "lusfernandotorres/kaggle-llm-science-exam-voting-ensemble", "kernel_id": "41905609"}, {"ref": "lusfernandotorres/kaggle-llm-science-exam-eda-deberta", "kernel_id": "41109497"}, {"ref": "ahsh37/my-llm-compitions", "kernel_id": "41476767"}, {"ref": "suraj520/bert-t5-deberta-tf-idf-with-cos-sim-rf-nn", "kernel_id": "41715913"}, {"ref": "harshitkmr/using-sentence-pip-wheels", "kernel_id": "41324529"}, {"ref": "harshitkmr/sentence-transformers-pip-wheels", "kernel_id": "41324120"}, {"ref": "lichuanyan/lb-0-691-llm-science-exam", "kernel_id": "41067094"}, {"ref": "ayushs9020/sentence-textual-similarity-on-kaggle-llm", "kernel_id": "41470321"}, {"ref": "ayushs9020/training-multiple-models-kaggle-llm", "kernel_id": "41323897"}, {"ref": "ayushs9020/a-simple-beginner-friendly-approach-kaggle-llm", "kernel_id": "41272637"}, {"ref": "ayushs9020/multiple-folds-multiple-models", "kernel_id": "41356388"}, {"ref": "ayushs9020/light-roberta-training-kaggle-llm", "kernel_id": "41084981"}, {"ref": "ayushs9020/what-if-we-only-had-the-incorrect-options", "kernel_id": "41536873"}, {"ref": "patriciabrezeanu/llm-science-exam-with-openai-api", "kernel_id": "41689190"}, {"ref": "swarajkhan/llm-science-exam", "kernel_id": "41738622"}, {"ref": "prathmeshadsod/llm-science-exam", "kernel_id": "41031355"}, {"ref": "gariton/starter-notebook-ranked-predictions-with-bert", "kernel_id": "41984257"}, {"ref": "noobhocai/llm-extra-data-with-cv-and-earlystopping", "kernel_id": "41785717"}, {"ref": "noobhocai/new-dataset-deberta-v3-large-training", "kernel_id": "41519142"}, {"ref": "quctngngvng/llm-science-exam-bert-base-attention", "kernel_id": "41682240"}, {"ref": "zh4men9/llm-science-exam-k-fold-submission", "kernel_id": "41083733"}, {"ref": "alvinleenh/0-742-llm-science-exam-peft-with-deberta", "kernel_id": "41802055"}, {"ref": "baorbaor/llm-competition", "kernel_id": "41682832"}, {"ref": "mewmlelswm/improve-llm-science-exam-voting-ensemble", "kernel_id": "41952284"}, {"ref": "defdet/filtering-by-answering", "kernel_id": "41210606"}, {"ref": "ashishjagdishsharma/llm-science-exam", "kernel_id": "41088890"}, {"ref": "nikoolaylovyagin/llm-exam-tensorflow-and-distilbert1", "kernel_id": "41724532"}, {"ref": "eishkaran/kaggle-llm-science-exam", "kernel_id": "41370726"}, {"ref": "neupane9sujal/deberta-for-llm-exam-0-74", "kernel_id": "41956336"}, {"ref": "himanshukumar7079/kaggle-llm-science-exam", "kernel_id": "41297869"}, {"ref": "vinayak121/with-bert", "kernel_id": "41128215"}, {"ref": "scottnewcomer/llm-science-street-svm", "kernel_id": "41482287"}, {"ref": "scottnewcomer/llm-science-street-tfidf", "kernel_id": "41155488"}, {"ref": "myogye/notebook14400fc14e", "kernel_id": "41946456"}, {"ref": "utkarshx27/llm-science-exam-deberta-v3-base", "kernel_id": "41324074"}, {"ref": "oostg0t/baseline-deberta-v3-base-train-pred", "kernel_id": "41244077"}, {"ref": "dashmeta/add-3000-data-to-train", "kernel_id": "41949197"}, {"ref": "mianwang1024/llm-baseline-with-cv", "kernel_id": "41649227"}, {"ref": "peilwang/train-infer-llm-deberta-v3-base", "kernel_id": "41762869"}, {"ref": "wenshuochen123/eda-data-gathering-llm-se-wiki-stem-1k-ds", "kernel_id": "41145647"}, {"ref": "dmitriygakh/llm-sci-exam-eda-based-on-text-structure", "kernel_id": "41033955"}, {"ref": "yashkalkani/llm-science-exam", "kernel_id": "41150133"}, {"ref": "baonguyengia123/testers", "kernel_id": "41964889"}, {"ref": "baonguyengia123/llm-competition", "kernel_id": "41781019"}, {"ref": "shivaiyer129/llm-science-exam-t5-model", "kernel_id": "41906913"}, {"ref": "aacashsrinath/distilbert-question-answer", "kernel_id": "41914562"}, {"ref": "aacashsrinath/llm-science-exam-answer-predictions", "kernel_id": "41887591"}, {"ref": "quoctuong/llm-science-exam", "kernel_id": "41921026"}, {"ref": "haiber/llm-with-more-preprocessing-and-cv", "kernel_id": "41720572"}, {"ref": "kawajack/llm-science-exam-distilbert", "kernel_id": "41072850"}, {"ref": "michaelmoshui/llm-science-exam-eda", "kernel_id": "41390159"}, {"ref": "shangshandalaohu/simple-loss-perplexity-llm-baseline", "kernel_id": "41157692"}, {"ref": "shangshandalaohu/fork-of-my-llm-code", "kernel_id": "41611404"}, {"ref": "shangshandalaohu/my-llm-code", "kernel_id": "41609235"}, {"ref": "idrakesedbeyli/idrak-llm", "kernel_id": "41849053"}, {"ref": "wentap/vicuna-7b-v15-hf-perplexity-ranking", "kernel_id": "41592780"}, {"ref": "wentap/science-exam-simple-approach-w-model-hub", "kernel_id": "41688183"}, {"ref": "gumballnguyen/flan-t5-model", "kernel_id": "41993025"}, {"ref": "sircausticmail/llm-exam-benchmarking", "kernel_id": "42969635"}, {"ref": "radek1/how-to-train-a-transformer", "kernel_id": "42151163"}, {"ref": "steubk/kaggle-llm-science-improved-retrivial", "kernel_id": "42787407"}, {"ref": "steubk/the-art-of-prompt-engineering", "kernel_id": "42305549"}, {"ref": "ajaysadhu/baseline-newdata", "kernel_id": "42729915"}, {"ref": "ybabakhin/intfloat-e5-base-v2", "kernel_id": "42460928"}, {"ref": "ybabakhin/thenlper-gte-base", "kernel_id": "42431807"}, {"ref": "ybabakhin/wiki31m-gte-large-title-p2", "kernel_id": "42824013"}, {"ref": "ybabakhin/wiki31m-gte-large-title-p3", "kernel_id": "42824049"}, {"ref": "ybabakhin/wiki31m-gte-large-title-p4", "kernel_id": "42824074"}, {"ref": "ybabakhin/wiki31m-gte-large-title-p1", "kernel_id": "42823938"}, {"ref": "ybabakhin/intfloat-e5-large-v2", "kernel_id": "42825609"}, {"ref": "ybabakhin/thenlper-gte-large", "kernel_id": "42825622"}, {"ref": "ybabakhin/baai-bge-large-en", "kernel_id": "42825671"}, {"ref": "ybabakhin/newwiki-titles", "kernel_id": "42693766"}, {"ref": "ybabakhin/newwiki-e5-base-title-part1", "kernel_id": "42703068"}, {"ref": "ybabakhin/newwiki-e5-base-title-part2", "kernel_id": "42703088"}, {"ref": "ybabakhin/newwiki-e5-base-title-part3", "kernel_id": "42703102"}, {"ref": "usharengaraju/gpt2-kerasnlp-w-b", "kernel_id": "42364048"}, {"ref": "mgoksu/0-807-sharing-my-trained-with-context-model", "kernel_id": "42492686"}, {"ref": "mgoksu/4-fold-cv-on-200-samples-earlystopping-map3-eval", "kernel_id": "42192189"}, {"ref": "ohmeow/differential-learning-rates-and-lora", "kernel_id": "42876719"}, {"ref": "iver666/inference-using-3-trained-deberta-v3-models", "kernel_id": "42244631"}, {"ref": "donkeys/vec256t5", "kernel_id": "42952658"}, {"ref": "paultimothymooney/give-llama-2-a-science-exam", "kernel_id": "42359087"}, {"ref": "serjhenrique/llmse-create-embedding-4-retrieval", "kernel_id": "42871460"}, {"ref": "serjhenrique/llmse-packages", "kernel_id": "42925106"}, {"ref": "serjhenrique/llmse-insights-from-retrieval", "kernel_id": "42925262"}, {"ref": "serjhenrique/llmse-build-wikipedia-dataset", "kernel_id": "42691851"}, {"ref": "serjhenrique/llmse-t5-distillation-step-by-step", "kernel_id": "42703559"}, {"ref": "serjhenrique/llmse-t5-distillation-step-by-step-inference", "kernel_id": "42765964"}, {"ref": "serjhenrique/llmse-t5-text2text-pipeline", "kernel_id": "42361023"}, {"ref": "serjhenrique/llmse-vicuna-baseline", "kernel_id": "42386815"}, {"ref": "cenzop/eda-data-gathering-llm-se-wiki-stem-1k-ds", "kernel_id": "42069841"}, {"ref": "alexjoe/how-to-finetune-llms-with-lora", "kernel_id": "42847732"}, {"ref": "vijayendrad/kaggle-distilberttf-model1", "kernel_id": "42273905"}, {"ref": "tenffe/zhangxin-test-reward-model", "kernel_id": "42512907"}, {"ref": "cmsm12/locally-fine-tuning-llama-2-using-qlora", "kernel_id": "42250909"}, {"ref": "cdeotte/how-to-train-open-book-model-part-2", "kernel_id": "42711750"}, {"ref": "cdeotte/how-to-train-open-book-model-part-1", "kernel_id": "42685549"}, {"ref": "shikha130vv/llm-for-science-with-nanogpt", "kernel_id": "42418548"}, {"ref": "shikha130vv/quantization", "kernel_id": "42298851"}, {"ref": "itsuki9180/adversarial-weight-perturbation-awp-inference", "kernel_id": "42544109"}, {"ref": "itsuki9180/deepspeed-for-offline-install", "kernel_id": "42888708"}, {"ref": "itsuki9180/using-deepspeed-with-hf-trainer", "kernel_id": "42908154"}, {"ref": "itsuki9180/incorporate-map-k-metrics-into-hf-trainer", "kernel_id": "42410188"}, {"ref": "itsuki9180/introducing-adversarial-weight-perturbation-awp", "kernel_id": "42483474"}, {"ref": "franksunp/flan-t5-beginner-prompt-engineering", "kernel_id": "42412281"}, {"ref": "nlztrk/openbook-debertav3-large-baseline-single-model", "kernel_id": "42343381"}, {"ref": "omarvivas/xgb-scienceexam-v1", "kernel_id": "42736496"}, {"ref": "omarvivas/lgbm-scienceexam-v1", "kernel_id": "42735045"}, {"ref": "omarvivas/cb-scienceexam-v1", "kernel_id": "42731455"}, {"ref": "hustzx/lb0-824-deberta-with-context-ensemble", "kernel_id": "42726561"}, {"ref": "stpeteishii/spam-randomforestregressor", "kernel_id": "42892408"}, {"ref": "zhangxeon/llm-science-exam-peft-2023kagglellm", "kernel_id": "42514721"}, {"ref": "erijoel/llmse-deberta-v3-large-few-shot-prompting-t", "kernel_id": "42218770"}, {"ref": "erijoel/llmse-data-gathering-with-few-shot-prompting", "kernel_id": "42093245"}, {"ref": "erijoel/llmse-deberta-v3-large-few-shot-prompting-i", "kernel_id": "42281465"}, {"ref": "ilu000/cirruswiki-titles", "kernel_id": "42818608"}, {"ref": "palash97/qlora-sft-falcon-7b", "kernel_id": "42021437"}, {"ref": "takanashihumbert/probe-test-prompt-length", "kernel_id": "42588109"}, {"ref": "mmmarchetti/kaggle-llm-features-engineer", "kernel_id": "42864158"}, {"ref": "xiu0714/deberta-llm-exam", "kernel_id": "42607673"}, {"ref": "awsaf49/llm-science-exam-kerascore-kerasnlp-tpu", "kernel_id": "42047258"}, {"ref": "awsaf49/llm-science-exam-kerascore-keras-infer", "kernel_id": "42075844"}, {"ref": "rin121/llm-se-pytorch-lightning-simple-training-code", "kernel_id": "42872048"}, {"ref": "dwit392/context-more-data-t-1", "kernel_id": "42406870"}, {"ref": "ashingtonwaweru/ansquest-multypred", "kernel_id": "42092218"}, {"ref": "xiezejian/suspected-data-leakage", "kernel_id": "42270648"}, {"ref": "evanarlian/llmse-meta-galactica", "kernel_id": "42817790"}, {"ref": "lonnieqin/llm-science-exam-with-debertav3", "kernel_id": "42869635"}, {"ref": "aliabdin1/petals-run-70b-llms-at-home-bittorrent-style", "kernel_id": "42233007"}, {"ref": "aliabdin1/how-does-quantization-work", "kernel_id": "42692393"}, {"ref": "aliabdin1/how-to-finetune-llms-with-lora", "kernel_id": "42670917"}, {"ref": "maxperozek/training-data-analysis-and-cluster-based-sampling", "kernel_id": "42989438"}, {"ref": "bkowshik/exploratory-data-analysis-llm-science-exam", "kernel_id": "42833931"}, {"ref": "bkowshik/model-inference-llm-science-exam", "kernel_id": "42972176"}, {"ref": "bkowshik/modelling-llm-science-exam", "kernel_id": "42971462"}, {"ref": "danielphalen/deberta-with-evidence-filter-training", "kernel_id": "42872346"}, {"ref": "j13mehul/siamese-network-bert-embedding", "kernel_id": "42085462"}, {"ref": "anhndo/workflow-for-fine-tuning-llm-beginner-friendly", "kernel_id": "42548291"}, {"ref": "max2020/using-gpt4-the-art-of-prompt-engineering", "kernel_id": "42308638"}, {"ref": "catchbat/kaggle-llm-science-improved-retrivial", "kernel_id": "42977108"}, {"ref": "hozaifazaki/deberta-submision", "kernel_id": "42650435"}, {"ref": "miteshadake/llm-science-exam-fork-of-fork-of-fork-of-0-806", "kernel_id": "42771044"}, {"ref": "miteshadake/new-model-on-fork-how-to-train-open-book-model-p2", "kernel_id": "42865343"}, {"ref": "miteshadake/how-to-train-open-book-model-mv5", "kernel_id": "42863886"}, {"ref": "hozaifazaki99/bert-training", "kernel_id": "42521903"}, {"ref": "emeraldgoose/llm-se-submission", "kernel_id": "42775835"}, {"ref": "krooz0/performing-zero-shot-learning-with-flan-t5", "kernel_id": "42361954"}, {"ref": "bennyfung/bert-model-for-multiple-choice", "kernel_id": "42393674"}, {"ref": "lakmaligamage/kaggle-llm-science-exam-eda", "kernel_id": "42078264"}, {"ref": "adityadawn/preparing-data-for-science-llm-exam", "kernel_id": "42498899"}, {"ref": "xiaocao123/how-to-train-open-book-model", "kernel_id": "42939136"}, {"ref": "dominic789654/how-to-train-open-book-model-part-2-fixed", "kernel_id": "42810529"}, {"ref": "chesterx/fork-of-kaggle-llm-science-sentence", "kernel_id": "42929814"}, {"ref": "chesterx/llm-science-cut-fragment-length", "kernel_id": "42908031"}, {"ref": "tanyong666/llama2-7b-infer-in-8bit", "kernel_id": "42114338"}, {"ref": "tanyong666/fine-tuning-llama-2-to-4bit-using-qlora-openbook", "kernel_id": "42267671"}, {"ref": "alimistro123/generate-mcq-questions-using-llama2-13b", "kernel_id": "42324539"}, {"ref": "alekseytrepetsky/llama-inference", "kernel_id": "42661153"}, {"ref": "songqizhou/weighted-voting-ensemble-0-783", "kernel_id": "42418652"}, {"ref": "wonderliu/notebook1713f027bd", "kernel_id": "42396946"}, {"ref": "imnaho/with-openai-gpt-and-langchain", "kernel_id": "42323984"}, {"ref": "ahsh37/simple-without-bert", "kernel_id": "42098007"}, {"ref": "amanmukati/llm-qa", "kernel_id": "42519696"}, {"ref": "siddhvr/llm-science-exam-sub-0-808", "kernel_id": "42594945"}, {"ref": "siddhvr/llm-science-exam-altering-hp", "kernel_id": "42724861"}, {"ref": "siddhvr/llm-science-exam-deberta-0-811", "kernel_id": "42698491"}, {"ref": "siddhvr/llm-science-exam-open-book", "kernel_id": "42734451"}, {"ref": "veer1516/fine-tuned-llama2-7b", "kernel_id": "42586543"}, {"ref": "bobfromjapan/llm-science-exam-re-translation-by-deepl-api", "kernel_id": "42741983"}, {"ref": "bobfromjapan/galactica-seqclass-qlora-w-openbook-context", "kernel_id": "42967528"}, {"ref": "love2echo/rl-llms-lora", "kernel_id": "42278755"}, {"ref": "josuehuaman/llm-science-exam-solution", "kernel_id": "42974734"}, {"ref": "wamiottowang/trained-with-context-model", "kernel_id": "42497167"}, {"ref": "quctngngvng/google-electra-multi-choice", "kernel_id": "42117653"}, {"ref": "quctngngvng/lora-deberta", "kernel_id": "42841179"}, {"ref": "mowgli2/trying-ensemble", "kernel_id": "42638812"}, {"ref": "mowgli2/using-locally-trained-peft-adapter", "kernel_id": "42573356"}, {"ref": "mowgli2/testing-retrival", "kernel_id": "42909455"}, {"ref": "mowgli2/openbook-test", "kernel_id": "42823671"}, {"ref": "mowgli2/longformer-peft-llmscience", "kernel_id": "42335012"}, {"ref": "mowgli2/starter-notebook-ranked-predictions-with-bert-2", "kernel_id": "42367614"}, {"ref": "yaaangzhou/transfomer-pytorch-code-and-learning-note", "kernel_id": "42687534"}, {"ref": "coldslim/llm-science-exam-project", "kernel_id": "42211809"}, {"ref": "limamateus/kaggle-llm-other-parameters-and-text-size", "kernel_id": "42931815"}, {"ref": "anandsiva/llm-02-embeddings-vector-databases-and-search", "kernel_id": "42303674"}, {"ref": "alvinleenh/inferencing-with-context", "kernel_id": "42627966"}, {"ref": "baorbaor/test-lora-adapter", "kernel_id": "42987831"}, {"ref": "baorbaor/multichoice-with-deberta-v3-base", "kernel_id": "42372651"}, {"ref": "mewmlelswm/how-to-train-open-book-model", "kernel_id": "42720346"}, {"ref": "mewmlelswm/interesting-combination-of-average-experiments", "kernel_id": "42712591"}, {"ref": "mewmlelswm/0-810-run-context-2and-debertav3", "kernel_id": "42659791"}, {"ref": "mewmlelswm/online-training-best-deberta-v3-large-model-gpu", "kernel_id": "42372275"}, {"ref": "mewmlelswm/interesting-discoveries-and-finding-the-best-data", "kernel_id": "42373633"}, {"ref": "mewmlelswm/lb-0-762-train-4-fold-and-ensemble", "kernel_id": "42338216"}, {"ref": "lum04thebest/fake-test", "kernel_id": "42574953"}, {"ref": "simonveitner/llama-cpp-0", "kernel_id": "42216165"}, {"ref": "simonveitner/llama-cpp-1", "kernel_id": "42216311"}, {"ref": "defdet/filtering-and-balancing-the-dataset", "kernel_id": "42639243"}, {"ref": "planetassem/llm-science-exam-my-beginner-code", "kernel_id": "42589449"}, {"ref": "lwolwo/simple-correlation-between-the-number-of-question", "kernel_id": "42002087"}, {"ref": "yrnmmh/notebook7798b08d0d", "kernel_id": "42661062"}, {"ref": "yrnmmh/deberta-for-llm-exam-0-74", "kernel_id": "42699675"}, {"ref": "fanyang99/lb-0-762-train-4-fold-and-ensemble", "kernel_id": "42536477"}, {"ref": "judith007/ensemble-score-boost-lb-0-763", "kernel_id": "42274121"}, {"ref": "abhinavbaruah/llm-science-prediction-project", "kernel_id": "42215384"}, {"ref": "smokeyscraper/llm-nb", "kernel_id": "42564734"}, {"ref": "nani123456789/llm-science-exam", "kernel_id": "42002885"}, {"ref": "wildercb/llm-open-book-sci-exam-w-voting-ensemble", "kernel_id": "42101089"}, {"ref": "khushahuja/ai-scientist", "kernel_id": "42260213"}, {"ref": "namanbansal4122/deberta-v3-for-llm-science", "kernel_id": "42715629"}, {"ref": "damonhan/fine-turn-llama2-llm", "kernel_id": "42546092"}, {"ref": "damonhan/llama2-infer", "kernel_id": "42572297"}, {"ref": "cody11null/weighted-voting-ensemble", "kernel_id": "42354984"}, {"ref": "thomasgamet/inferencing-with-context-work-in-progress", "kernel_id": "42804896"}, {"ref": "samson8/how-to-create-wikipedia-embeddings", "kernel_id": "42849924"}, {"ref": "thefreakin/scique-bert", "kernel_id": "42602271"}, {"ref": "baghasadikusuma/llm-with-bert", "kernel_id": "42108636"}, {"ref": "ndranathunga/debertav3-large", "kernel_id": "42395623"}, {"ref": "scenerysunfireink/using-multi-qa-minilm-l6-cos-v1", "kernel_id": "42714898"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "jasonheesanglee/0-81-workworkworkworkwork", "kernel_id": "42590393"}, {"ref": "quoctuong/how-to-train-open-book-model", "kernel_id": "42930804"}, {"ref": "zilanyu/visual-analysis-of-datasets-eda", "kernel_id": "42447292"}, {"ref": "sreekanthpolu/llm-science-exam-easy-way", "kernel_id": "42773298"}, {"ref": "sreekanthpolu/llm-science-exam", "kernel_id": "42771660"}, {"ref": "cokkies/how-to-train-open-book-model-part-2-5f30d8", "kernel_id": "42971941"}, {"ref": "cokkies/0-81-workworkworkworkwork-293831", "kernel_id": "42971797"}, {"ref": "cokkies/how-to-train-open-book-model-part-2-d3288f", "kernel_id": "42971876"}, {"ref": "cokkies/kaggle-llm-science-improved-retrivia-95240a", "kernel_id": "42971747"}, {"ref": "tigerh/learning-llm-and-using-flan-t5-logits", "kernel_id": "42106010"}, {"ref": "tonyarobertson/single-model-inference", "kernel_id": "42621403"}, {"ref": "ironheart14/llm-science-exam-kerascore-kerasnlp-tpu", "kernel_id": "42102526"}, {"ref": "adlrmdn/kaggle-llm-science-self-exam", "kernel_id": "42947725"}, {"ref": "gumballnguyen/llm-competition-b2e359", "kernel_id": "42280267"}, {"ref": "gumballnguyen/deberta-multichoice-model-hugging-face", "kernel_id": "42013764"}, {"ref": "ahmedziiidaneee/electro-training-6800", "kernel_id": "42651080"}, {"ref": "gavinmin/qwen-7b-int4-inference-score-0-7-on-train", "kernel_id": "42083348"}, {"ref": "giraffeingreen/guidance-psmathur-orca-mini-v3-7b", "kernel_id": "42154112"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "andreluisx/lllmse-enhance-wikipedia-with-llm-answer", "kernel_id": "42956369"}, {"ref": "serhiikharchuk/starter-notebook-ranked-predictions-with-bert", "kernel_id": "42670212"}, {"ref": "rayzzzr/locally-fine-tuning-llama-2-using-qlora", "kernel_id": "42510952"}, {"ref": "minhsienweng/longformer-tf-idf-wikipedia-retrieval", "kernel_id": "42929455"}, {"ref": "philippsinger/transformers-main", "kernel_id": "43505963"}, {"ref": "sircausticmail/kb-llmse-chromadb-for-wiki-sc", "kernel_id": "43291320"}, {"ref": "sircausticmail/kb-llmse-f-deberta-wiki-sc-para-chromadb", "kernel_id": "43092971"}, {"ref": "cpmpml/uni-tianyan-70b-with-wikipedia-rag", "kernel_id": "43364078"}, {"ref": "cpmpml/orca-mini-v3-70b-with-wikipedia-rag", "kernel_id": "43367836"}, {"ref": "cpmpml/llm-008", "kernel_id": "43521028"}, {"ref": "cpmpml/xwin-lm-70b-v0-1-with-wikipedia-rag", "kernel_id": "43493874"}, {"ref": "simjeg/platypus2-70b-with-wikipedia-rag", "kernel_id": "43215690"}, {"ref": "illidan7/llmse-study-for-the-right-exam", "kernel_id": "43520802"}, {"ref": "mgoksu/fork-of-fork-of-86-2-with-only-270k-articles", "kernel_id": "43680488"}, {"ref": "gauravbrills/customdeberta-w-context-seq-mix", "kernel_id": "43927597"}, {"ref": "urvishp80/customdeberta-w-context-seq-model", "kernel_id": "43583643"}, {"ref": "urvishp80/270k-articles-and-custom-deberta", "kernel_id": "43639374"}, {"ref": "urvishp80/270k-articles-and-llama", "kernel_id": "43628374"}, {"ref": "urvishp80/0921-llama2-7b-hf-v3-v6", "kernel_id": "43509070"}, {"ref": "urvishp80/deberta-0-847-llama-v2-ensemble", "kernel_id": "43347211"}, {"ref": "afiqhatta/how-to-train-open-book-model", "kernel_id": "43199275"}, {"ref": "vaib26/notebook5334a232d9", "kernel_id": "43403270"}, {"ref": "datadote/llm-train-csv-eda", "kernel_id": "43197078"}, {"ref": "serjhenrique/llmse-generative-pseudo-labeling", "kernel_id": "43242672"}, {"ref": "serjhenrique/llmse-filter-60-k-ds-based-on-train-distribution", "kernel_id": "43109726"}, {"ref": "wchan757/llm-science-exam-approach", "kernel_id": "43139333"}, {"ref": "cdeotte/how-to-use-40k-dataset", "kernel_id": "43338487"}, {"ref": "div1996p/flan-t5-zero-shot-inferencing", "kernel_id": "43400854"}, {"ref": "jaideepvalani/falcon-7b-llm-qlora-w-b", "kernel_id": "43314341"}, {"ref": "vinitkp/ranked-predictions-with-bert", "kernel_id": "43280156"}, {"ref": "kononenko/max-context-2700-platypus2-70b-with-wikipedia-rag", "kernel_id": "43959550"}, {"ref": "conjuring92/retriever-data-prep-v4", "kernel_id": "43360062"}, {"ref": "conjuring92/e04-cluster", "kernel_id": "43391111"}, {"ref": "conjuring92/d504-chunking", "kernel_id": "43555324"}, {"ref": "adityaghuse/llm-exam", "kernel_id": "43855256"}, {"ref": "itsuki9180/llm-sciex-optimise-ensemble-weights", "kernel_id": "43121368"}, {"ref": "navneetsajwan/magic-of-retrieval-augmented-generation-rag", "kernel_id": "43808739"}, {"ref": "upesshreya/llm-notebook", "kernel_id": "43287455"}, {"ref": "mbanaei/86-2-with-only-270k-articles", "kernel_id": "43507255"}, {"ref": "mbanaei/finding-270k-wikipedia-stem-articles", "kernel_id": "43299260"}, {"ref": "tony92151/usage-of-gguf-llama2-7b", "kernel_id": "43585103"}, {"ref": "ilu000/cirruswiki512-gte-base-part01", "kernel_id": "43459611"}, {"ref": "ilu000/cirruswiki512-gte-base-part02", "kernel_id": "43459955"}, {"ref": "ilu000/cirruswiki512-gte-base-part03", "kernel_id": "43459973"}, {"ref": "ilu000/cirruswiki512-gte-base-part04", "kernel_id": "43459990"}, {"ref": "ilu000/cirruswiki512-gte-base-part05", "kernel_id": "43463247"}, {"ref": "ilu000/cirruswiki512-gte-base-part06", "kernel_id": "43463263"}, {"ref": "ilu000/cirruswiki512-gte-base-part07", "kernel_id": "43463278"}, {"ref": "ilu000/cirruswiki512-gte-base-part08", "kernel_id": "43463296"}, {"ref": "ilu000/cirruswiki512-gte-base-part09", "kernel_id": "43463314"}, {"ref": "ilu000/cirruswiki512-gte-base-part10", "kernel_id": "43463328"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part01", "kernel_id": "43673922"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part02", "kernel_id": "43677062"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part03", "kernel_id": "43677090"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part08", "kernel_id": "43679619"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part04", "kernel_id": "43679464"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part05", "kernel_id": "43679551"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part06", "kernel_id": "43679565"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part07", "kernel_id": "43679589"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part09", "kernel_id": "43683172"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part10", "kernel_id": "43683189"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part11", "kernel_id": "43683201"}, {"ref": "ilu000/enwiki-cirrus-20230701-e5-large-part12", "kernel_id": "43683223"}, {"ref": "ilu000/enwiki-cirrus-20230701-bge-large-part01", "kernel_id": "43683440"}, {"ref": "ilu000/enwiki-cirrus-20230701-bge-large-part02", "kernel_id": "43683542"}, {"ref": "ilu000/enwiki-cirrus-20230701-bge-large-part03", "kernel_id": "43683573"}, {"ref": "ilu000/enwiki-cirrus-20230701-bge-large-part04", "kernel_id": "43683600"}, {"ref": "ilu000/enwiki-cirrus-20230701-bge-large-part05", "kernel_id": "43683611"}, {"ref": "janvichokshi/platypus2-70b-with-wikipedia-rag", "kernel_id": "43997468"}, {"ref": "ksmcg90/faster-context-extraction-pyarrow-fixed", "kernel_id": "43372679"}, {"ref": "pavan9065/explore-predictions-with-bert", "kernel_id": "43438803"}, {"ref": "puneeshk/final-inference-notebook", "kernel_id": "43569077"}, {"ref": "johnsonhk88/openbook-debertav3-large-baseline-single-model", "kernel_id": "43979947"}, {"ref": "aynoji/watchara-26-csc494-2023-midterm", "kernel_id": "43739942"}, {"ref": "romanweilguny/train-open-book-p1-v3-7", "kernel_id": "43137898"}, {"ref": "fathinahizzati/bow-tfidf-2-new", "kernel_id": "43270533"}, {"ref": "myominhtet/finding-context-on-270k-stem", "kernel_id": "43693010"}, {"ref": "myominhtet/finding-context-on-wiki-20220301-en-sci", "kernel_id": "43643807"}, {"ref": "aliabdin1/how-does-mixture-of-experts-moe-work", "kernel_id": "43587602"}, {"ref": "dangnguyen97/transformers-0-86", "kernel_id": "43605423"}, {"ref": "dangnguyen97/wikipedia-rag", "kernel_id": "43745280"}, {"ref": "yeoyunsianggeremie/sublinear-tf-true-xwin-70b-fallback", "kernel_id": "43667956"}, {"ref": "yeoyunsianggeremie/270k-backbone-ensemble-fallback-on-6m-wiki", "kernel_id": "43690632"}, {"ref": "domdejonge/label-smoothing-train", "kernel_id": "43299103"}, {"ref": "domdejonge/train-label-smoothing", "kernel_id": "43809063"}, {"ref": "picetrp/theerapat-63130500213-csc494-2023-midterm", "kernel_id": "43739949"}, {"ref": "goelyash/llm-science-mistral-7b", "kernel_id": "43943195"}, {"ref": "xiaocao123/lb0-900", "kernel_id": "43529415"}, {"ref": "mujrush/eda-cosine-similarity-of-dataset-each-text", "kernel_id": "43377517"}, {"ref": "gangyongjin/comp-llm-science-yongjin", "kernel_id": "43581570"}, {"ref": "chesterx/llm-science-how-long-does-the-text-fit", "kernel_id": "43161932"}, {"ref": "syedusmanahmad/llm-science-exam-overtraining", "kernel_id": "43379542"}, {"ref": "shivamtaneja2304/llm-sciex-optimise-ensemble-weights-better-models", "kernel_id": "43346384"}, {"ref": "shivamtaneja2304/finding-subset-of-wikipedia-dataset-for-kaggle-llm", "kernel_id": "43528629"}, {"ref": "ryenhails/llm-dl-training-libraries", "kernel_id": "43590126"}, {"ref": "alimistro123/increase-stopwords", "kernel_id": "43661530"}, {"ref": "satyaprakashshukl/how-to-train-open-book-model", "kernel_id": "43004677"}, {"ref": "simonovaanna/science-exam-using-bert", "kernel_id": "43836995"}, {"ref": "hemakarapu/ranked-predictions-bert", "kernel_id": "43244819"}, {"ref": "cecilll/fork-of-fork-of-0-806-sharing-my-trained-with-co", "kernel_id": "43445595"}, {"ref": "hafidabelayd/llm-science-exam-predictions-with-bert", "kernel_id": "43267954"}, {"ref": "siddhvr/llmse-using-platypus2", "kernel_id": "43247898"}, {"ref": "siddhvr/llmse-ensembling-better-models", "kernel_id": "43259652"}, {"ref": "shamepooh/scibert-baseline-inferring-with-rag", "kernel_id": "43443699"}, {"ref": "bobfromjapan/mistral-7b-infer", "kernel_id": "43796347"}, {"ref": "bobfromjapan/my-best-submission-with-openbook-context-v2", "kernel_id": "43753384"}, {"ref": "quctngngvng/train-model-with-context-27-9", "kernel_id": "43436042"}, {"ref": "quctngngvng/sentence-trainformer-wiki", "kernel_id": "43353132"}, {"ref": "quctngngvng/checkpoints-28-9-microsoft-deberta-v2", "kernel_id": "43779960"}, {"ref": "quctngngvng/weight-2-10-debeta-v1-2-384", "kernel_id": "43932201"}, {"ref": "dhanrajmalla/llm-science", "kernel_id": "43758797"}, {"ref": "hodinhtrieu/llmse-using-platypus2", "kernel_id": "43742708"}, {"ref": "nhttinnguynbch/explained-platypus2-70b-wikipedia-rag", "kernel_id": "43839456"}, {"ref": "nhttinnguynbch/fork-of-86-2-with-only-270k-articles", "kernel_id": "43694884"}, {"ref": "nhttinnguynbch/86-2-with-only-270k-articles", "kernel_id": "43547310"}, {"ref": "baorbaor/pre-processing-data-for-kaggle-llm", "kernel_id": "43523664"}, {"ref": "parinlkhitworasak/parin-46-csc494-2023-midterm", "kernel_id": "43740961"}, {"ref": "jasonzhang2022/llm-sciex-optimise-ensemble-weights-better-models", "kernel_id": "43144036"}, {"ref": "defdet/tpu-accelerated-training", "kernel_id": "43544288"}, {"ref": "defdet/context-tf-idf", "kernel_id": "43826160"}, {"ref": "jay00hwang/generate-wiki-context", "kernel_id": "43969776"}, {"ref": "enricomanosperti/llm-science-exam-with-bert", "kernel_id": "43571490"}, {"ref": "shido49221/ratchanon-49-csc494-2023-midterm-ipynb", "kernel_id": "43741804"}, {"ref": "pakpol/pakpol-22-csc494-2023-midterm", "kernel_id": "43739910"}, {"ref": "nithinreddy90/llm-exam", "kernel_id": "43013802"}, {"ref": "nithinreddy90/ranked-predictions-with-bert", "kernel_id": "43095125"}, {"ref": "yhhhrerr/introducing-adversarial-weight-perturbation-awp", "kernel_id": "43850262"}, {"ref": "habibdiakite/notebookff4e2cda7c-habib-diakite", "kernel_id": "43409494"}, {"ref": "satyanshu404/science-llm-zero-shot", "kernel_id": "43971134"}, {"ref": "satyanshu404/science-llm", "kernel_id": "43963228"}, {"ref": "junglebeastds/bitsandbytes-science-exam", "kernel_id": "43122151"}, {"ref": "polyakovstepan/baseline-llm-science-exam", "kernel_id": "43223564"}, {"ref": "pimang62/fine-tuned-llama2-with-peft", "kernel_id": "43481738"}, {"ref": "dbtmddn41/llm-sciex-ensemble-weights", "kernel_id": "43909255"}, {"ref": "ashokshukla/kaggle-llm-science-first", "kernel_id": "43891156"}, {"ref": "madarshbb/how-to-create-wikipedia-embeddings", "kernel_id": "43191237"}, {"ref": "stanmt/llm-sci-exam-open-book-baselinev1", "kernel_id": "43150805"}, {"ref": "quoctuong/fork-2-how-to-train-open-book-model", "kernel_id": "43040335"}, {"ref": "hyunjin123/fork-of-0-806-sharing-my-trained-with-con-fe3f24", "kernel_id": "43901980"}, {"ref": "potterhan/deberta-recall", "kernel_id": "43276570"}, {"ref": "potterhan/llm-exam-deberta", "kernel_id": "43131562"}, {"ref": "potterhan/long-recall-deberta", "kernel_id": "43694814"}, {"ref": "potterhan/ensemble-weights", "kernel_id": "43863568"}, {"ref": "wentap/160th-solution", "kernel_id": "43565804"}, {"ref": "gumballnguyen/train-model-with-context-27-9", "kernel_id": "43780459"}, {"ref": "gumballnguyen/train-model-with-context-29-9", "kernel_id": "43782246"}, {"ref": "viplav113/fork-of-llm-questionanswer", "kernel_id": "43294400"}, {"ref": "viplav113/fork-of-fork-of-llm-questionanswer-330eba", "kernel_id": "43480866"}, {"ref": "quoctuongdang/train-model-with-context-27-9", "kernel_id": "43739616"}, {"ref": "rainsun1997/faiss-similarvector-search-all-minilm-l6-v2", "kernel_id": "43161218"}, {"ref": "minhsienweng/llm-science-exam-tf-idf-longformer", "kernel_id": "43971169"}, {"ref": "vladtech/llm-science-exam-abcde-answers", "kernel_id": "43288795"}, {"ref": "adhipkashyap/dm-project-baseline", "kernel_id": "43583815"}, {"ref": "philippsinger/teamhydrogen-white-malamute-prompt-openorca-v2", "kernel_id": "44271954"}, {"ref": "cpmpml/llm-021", "kernel_id": "44243729"}, {"ref": "cpmpml/llm-008-orig", "kernel_id": "44055323"}, {"ref": "cpmpml/llm-021-platypus", "kernel_id": "44396821"}, {"ref": "cpmpml/llm-021-platypus-no-lr", "kernel_id": "44399603"}, {"ref": "steubk/llm-0-907-rag-orca-mini-v3-no-training", "kernel_id": "44316403"}, {"ref": "steubk/semantic-search-of-wikipedia-en-with-faiss", "kernel_id": "44342578"}, {"ref": "steubk/llm-mc-qa-openbook-v3-inf-val-tfidf-db450", "kernel_id": "44005567"}, {"ref": "ybabakhin/1st-place-single-model-inference", "kernel_id": "44645464"}, {"ref": "ybabakhin/1st-place-team-h2o-llm-studio", "kernel_id": "44284817"}, {"ref": "zaburo/llm-sience-exam-5th-place-solution", "kernel_id": "44699029"}, {"ref": "simjeg/platypus2-70b-without-wikipedia-rag", "kernel_id": "44366797"}, {"ref": "illidan7/llmse-contextensemble", "kernel_id": "44208386"}, {"ref": "sorokin/llm-xgboost-abc", "kernel_id": "44240867"}, {"ref": "jjinho/open-book-llm-science-exam-reranker", "kernel_id": "44320438"}, {"ref": "fejust/llmse-open-book-tpu-training", "kernel_id": "44426108"}, {"ref": "dstomcray/2023-kaggle-llm-multiple-choice-questions", "kernel_id": "44371080"}, {"ref": "gauravbrills/t2-0-901-openbook-tfidf", "kernel_id": "44421945"}, {"ref": "wlifferth/global-hack-week-ranked-predictions-with", "kernel_id": "44732256"}, {"ref": "podpall/3rd-place-reranker-training", "kernel_id": "44742097"}, {"ref": "podpall/3rd-place-full-inference", "kernel_id": "44557453"}, {"ref": "ubamba98/a08-exam-solver", "kernel_id": "44223273"}, {"ref": "steveroberts/llm-sci-ensemble-weights-final", "kernel_id": "44278284"}, {"ref": "cdeotte/rapids-tf-idf-lb-0-904-single-model", "kernel_id": "44317336"}, {"ref": "ifyokoh/llm-science-exam", "kernel_id": "44509903"}, {"ref": "chankhavu/fork-of-0-92-submission", "kernel_id": "44263085"}, {"ref": "itsuki9180/70th-place-solution-itk16-training", "kernel_id": "44333122"}, {"ref": "itsuki9180/private-lb-0-911-submission", "kernel_id": "44316925"}, {"ref": "kami634/11th-solution", "kernel_id": "44044918"}, {"ref": "tony92151/0-829-0-821-mistralorca-7b-270k-articles", "kernel_id": "44281814"}, {"ref": "tony92151/openbook-mistralorca-7b-infer", "kernel_id": "44179568"}, {"ref": "daisuketakahashi/wikipedia-bi-gram-inverted-index", "kernel_id": "44386865"}, {"ref": "ilu000/enwiki-cirrus-256-e5-base-part01", "kernel_id": "44171417"}, {"ref": "ilu000/enwiki-cirrus-256-e5-base-part02", "kernel_id": "44171476"}, {"ref": "sugupoko/llm-31th-place-solution", "kernel_id": "44317473"}, {"ref": "ashar7777/deberta-new", "kernel_id": "44273581"}, {"ref": "dipamc77/66th-place-elasticsearch-deberta", "kernel_id": "44321103"}, {"ref": "dipamc77/elasticsearch-mistral-lora-deberta", "kernel_id": "44324197"}, {"ref": "wuwenmin/llm-science-ensemble-exp-max", "kernel_id": "44319724"}, {"ref": "linshokaku/elasticsearch-retrieval", "kernel_id": "44325301"}, {"ref": "linshokaku/4th-elasticsearch-retrieval-example", "kernel_id": "44326366"}, {"ref": "issamohamed/weighted-sum-of-four-models", "kernel_id": "44251990"}, {"ref": "abdulkadirguner/08ekim-catcherror-1m-1229xxl-withmap3-1069", "kernel_id": "44189117"}, {"ref": "hotchpotch/llm-comp-elasticsearch-on-kaggle-nb", "kernel_id": "44311727"}, {"ref": "kunalbainsla/llm-exam-v-0", "kernel_id": "44060166"}, {"ref": "adityadawn/training-llm-using-accelerate-and-w-b", "kernel_id": "44388054"}, {"ref": "xiaocao123/904-threshold-tune", "kernel_id": "44119843"}, {"ref": "andrew1024/86-2-with-only-270k-articles-b4beeb", "kernel_id": "44103685"}, {"ref": "tonymarkchris/46th-solution-optuna-weight", "kernel_id": "44273485"}, {"ref": "shufflecss/platypus2-70b-wikipedia-rag", "kernel_id": "44758452"}, {"ref": "shufflecss/open-book-qa-debertav3-large", "kernel_id": "44096473"}, {"ref": "yuanzhiyong/llm-cs", "kernel_id": "44635264"}, {"ref": "nguyentuannguyen/multiple-choice-question-answering", "kernel_id": "44591232"}, {"ref": "kaggleqrdl/pipeline-full", "kernel_id": "44318720"}, {"ref": "vidhikishorwaghela/scienceqa-insights-exploring-with-llms", "kernel_id": "44337031"}, {"ref": "bobfromjapan/49th-solution-deberta-and-mistral-7b-w-270k-cont", "kernel_id": "44337292"}, {"ref": "josuehuaman/llm-science-exam-create-index", "kernel_id": "44624355"}, {"ref": "josuehuaman/kag-llm-sc-exam-training-model-on-progress", "kernel_id": "44590362"}, {"ref": "josuehuaman/kaggle-llm-science-exam-inference", "kernel_id": "44877658"}, {"ref": "ranchantan/llm-se-ensemble", "kernel_id": "44067772"}, {"ref": "quctngngvng/test-build-fine-tuning", "kernel_id": "44318965"}, {"ref": "hqfang/kaggle-llmse-inference", "kernel_id": "44367217"}, {"ref": "lizhecheng/kaggle-llm-competition-submission-type2", "kernel_id": "44323359"}, {"ref": "lizhecheng/generate-new-dataset-using-chatgpt-3-5", "kernel_id": "44322490"}, {"ref": "lizhecheng/extract-context-using-new-model", "kernel_id": "44322785"}, {"ref": "lizhecheng/kaggle-llm-competition-submission-type1", "kernel_id": "44323184"}, {"ref": "defdet/fine-tuning-llama2-peft-gpu", "kernel_id": "44316081"}, {"ref": "defdet/xla-pytorch-customizable-training-loop", "kernel_id": "44017252"}, {"ref": "defdet/llama-7b-fine-tuning-on-tpu", "kernel_id": "44056410"}, {"ref": "jay00hwang/ensemble-inference", "kernel_id": "44061516"}, {"ref": "yash9439/mistral-7b-infer", "kernel_id": "44385477"}, {"ref": "lastdance9/explained-platypus2-70b-wikipedia-rag", "kernel_id": "44106888"}, {"ref": "up4567/86-2-with-only-270k-articles", "kernel_id": "44169856"}, {"ref": "potterhan/deberta-with-rag", "kernel_id": "44112831"}, {"ref": "minhsienweng/patypus2-70b-wiki-retrieval-weight-loader", "kernel_id": "44064109"}, {"ref": "olgasedova/platypus2-70b-with-wikipedia-scientific-context", "kernel_id": "44621601"}, {"ref": "yoichi7yamakawa/publish-0-91783-ddp-e150-e120-e113-e107", "kernel_id": "45015350"}, {"ref": "sandiago21/llm-science-exam-llms-training-tpu", "kernel_id": "45315179"}, {"ref": "stpeteishii/sat-history-q-a-llm-bert", "kernel_id": "45302624"}, {"ref": "adityadawn/llm-inference", "kernel_id": "45814317"}, {"ref": "junxhuang/running-llm-with-flexible-sharding-technique", "kernel_id": "45041555"}, {"ref": "josuehuaman/kaggle-llm-science-exam-training-model", "kernel_id": "45059940"}, {"ref": "divyanshuxyz/llm-bert", "kernel_id": "45171438"}, {"ref": "yashpl11/gpt-35-turbo-1", "kernel_id": "45451733"}, {"ref": "defdet/kaggle-tpu-is-all-you-need-llama-2-fine-tuning", "kernel_id": "45016770"}, {"ref": "thefreakin/deberta-v3-attempt-1", "kernel_id": "45213810"}, {"ref": "uom200523j/notebook-01", "kernel_id": "45231411"}, {"ref": "adhipkashyap/dm-project-checkpoint-2", "kernel_id": "45278698"}, {"ref": "nextnlp/open-ai-api", "kernel_id": "45164340"}, {"ref": "namgalielei/videberta-multiplechoice", "kernel_id": "46049520"}, {"ref": "fathinahizzati/lstm-1", "kernel_id": "46175185"}, {"ref": "kavinrajam/locally-fine-tuning-llama-2-using-qlora", "kernel_id": "46645174"}, {"ref": "samuelvangorden/multiple-choice-transformer", "kernel_id": "46380524"}, {"ref": "junxhuang/retriever-reader-model-with-flexible-sharding", "kernel_id": "46217398"}, {"ref": "hazemabbas/finetune-flan-t5-base-on-squad-v2-for-vtqa", "kernel_id": "46121870"}, {"ref": "nguyenthuy25/google-electra-multi-choice-86b10a", "kernel_id": "46692266"}, {"ref": "sajangirova/roberta-kfold", "kernel_id": "46134092"}, {"ref": "sajangirova/roberta-rag", "kernel_id": "46144170"}, {"ref": "sajangirova/roberta-rag-kfold", "kernel_id": "46286775"}, {"ref": "sajangirova/roberta-llm-exam", "kernel_id": "46303630"}, {"ref": "noorrabih/bert-with-wikipedia-rag", "kernel_id": "46142164"}, {"ref": "noorrabih/bert-mcq", "kernel_id": "46131373"}, {"ref": "noorrabih/huggingface-bert", "kernel_id": "46136845"}, {"ref": "noorrabih/kfolds-of-huggingface-bert-with-wikipedia-rag", "kernel_id": "46238907"}, {"ref": "noorrabih/huggingface-bert-with-wikipedia-rag", "kernel_id": "46202308"}, {"ref": "noorrabih/kfolds-on-bert", "kernel_id": "46292775"}, {"ref": "calebbiggs/notebook35faf77e55", "kernel_id": "46653429"}, {"ref": "fat2321321/lstm-3", "kernel_id": "46749327"}, {"ref": "tinaaaaaaaaa/lstm-2-2", "kernel_id": "46740335"}, {"ref": "tinaaaaaaaaa/platypus2-70b-without-wikipedia-rag", "kernel_id": "46770210"}, {"ref": "rukawazy/platypus2-70b-with-wikipedia-rag", "kernel_id": "47249772"}, {"ref": "jay00hwang/rag-deberta-train", "kernel_id": "47167828"}, {"ref": "loyuying/llm-science-exam", "kernel_id": "47967144"}, {"ref": "emmermarcell/context-creation", "kernel_id": "47462512"}, {"ref": "emmermarcell/training-an-open-book-model", "kernel_id": "47475868"}, {"ref": "priyankraval/kaggle-llm-submission", "kernel_id": "48179887"}, {"ref": "hamnaqaseem/wwcode-ds-eda-7days", "kernel_id": "49992952"}, {"ref": "tarekyahia/arabicner-sen", "kernel_id": "49408458"}, {"ref": "quctngngvng/load-log-trainer", "kernel_id": "49341985"}, {"ref": "quctngngvng/answer-questions", "kernel_id": "49436553"}, {"ref": "matheusbertoldidiani/roberta", "kernel_id": "49435075"}, {"ref": "matheusbertoldidiani/deberta-v3-xlargemcq-s-ipynb", "kernel_id": "49381400"}, {"ref": "matheusbertoldidiani/bert-modelo", "kernel_id": "49381209"}, {"ref": "quantumcoder98/deberta-v3-xlargemcq-s-ipynb", "kernel_id": "49703644"}, {"ref": "jarvis911/how-to-finetune-llms-with-lora", "kernel_id": "50794552"}, {"ref": "ahsannawazch/exam-llm-baseline-chatgpt-functioncall", "kernel_id": "50821980"}, {"ref": "masterchen09/multiple-choice-with-deberta-v3-base-training", "kernel_id": "50120502"}, {"ref": "masterchen09/random-predictions", "kernel_id": "50101150"}, {"ref": "masterchen09/multiple-choice-with-mistral-7b-v0-1-training", "kernel_id": "50519975"}, {"ref": "masterchen09/multiple-choice-with-deberta-v3-large-training", "kernel_id": "50462511"}, {"ref": "masterchen09/multiple-choice-w-deberta-and-mistral-inference", "kernel_id": "50780544"}, {"ref": "masterchen09/multiple-choice-with-mistral-7b-v0-1-inference", "kernel_id": "50773814"}, {"ref": "masterchen09/multiple-choice-with-deberta-v3-base-inference", "kernel_id": "50615326"}, {"ref": "masterchen09/multiple-choice-with-deberta-v3-large-inference", "kernel_id": "50618910"}, {"ref": "hamnaqaseem/fork-of-wwcode-ds-eda-7days", "kernel_id": "50321091"}, {"ref": "b4rsik/how-to-finetune-llms-with-lora", "kernel_id": "50500337"}, {"ref": "matthewhendricks/zero-state-fff", "kernel_id": "50149603"}, {"ref": "matthewhendricks/zero-state-f-a-f", "kernel_id": "50251110"}, {"ref": "riow1983/bitnet-how-to-train-open-book-model", "kernel_id": "51948057"}, {"ref": "masterchen09/multiple-choice-w-mistral-w-context-training", "kernel_id": "51113392"}, {"ref": "masterchen09/multiple-choice-w-deberta-w-context-training", "kernel_id": "51077261"}, {"ref": "masterchen09/multiple-choice-w-mistral-w-context-inference", "kernel_id": "51083942"}, {"ref": "masterchen09/multiple-choice-with-distilbert-inference", "kernel_id": "51004118"}, {"ref": "masterchen09/multiple-choice-with-distilbert-training", "kernel_id": "51001327"}, {"ref": "masterchen09/multiple-choice-analysis", "kernel_id": "51218509"}, {"ref": "masterchen09/mult-ch-w-deberta-mistral-w-context-infer", "kernel_id": "51157359"}, {"ref": "theresaherr/notebook1b76229a1f", "kernel_id": "51235792"}, {"ref": "alekseytrepetsky/llm-inference", "kernel_id": "51823906"}, {"ref": "claudia6155/notebookde17248f06", "kernel_id": "51238812"}, {"ref": "devilbornfire/science-exam-llm", "kernel_id": "52282130"}, {"ref": "nextnlp/science-exam-llm", "kernel_id": "52505033"}, {"ref": "ethereal111/bert-based-on-imdb-cleaned", "kernel_id": "52713961"}, {"ref": "shumpeikikuta/embedding", "kernel_id": "53855049"}, {"ref": "shumpeikikuta/understand-wikipedia", "kernel_id": "53855468"}, {"ref": "shumpeikikuta/main-can-internet", "kernel_id": "53864515"}, {"ref": "shumpeikikuta/my-main", "kernel_id": "53794294"}, {"ref": "darrenangle/llama-cpp-updated", "kernel_id": "53848215"}, {"ref": "tats0902/tats0902-llm-science-internet", "kernel_id": "53876756"}, {"ref": "ansonkw/270k-e5-mistral-inference", "kernel_id": "54755923"}, {"ref": "ansonkw/deberta-training", "kernel_id": "54967725"}, {"ref": "ansonkw/mistral-training-code", "kernel_id": "54967897"}, {"ref": "nguyentienanh1307/evaluating-llms", "kernel_id": "54785302"}, {"ref": "tats0902/tats0902-llm-science-iteration", "kernel_id": "54260606"}, {"ref": "heyviv/llm-science-exam-p1", "kernel_id": "57555822"}, {"ref": "heyviv/llm-scince-exam-part-2", "kernel_id": "57729540"}, {"ref": "sanjvvs/llm-science-exam-flan-t5-large", "kernel_id": "57968844"}, {"ref": "ibtihalan/getting-started-with-llms", "kernel_id": "57324162"}, {"ref": "heyviv/llm-science-p3-submission", "kernel_id": "58084501"}, {"ref": "spark0/open-book-llm-science-exam", "kernel_id": "58150899"}, {"ref": "manhnguyen315/llama-7b-fine-tuning-on-tpu", "kernel_id": "58007419"}, {"ref": "xsueii/wiki-context-deberta-v3-large-train-predict", "kernel_id": "58493314"}, {"ref": "xsueii/llm-science-exam-rag-debertav3-large", "kernel_id": "58517055"}, {"ref": "kmmmvs/pip-download-cuvs", "kernel_id": "59280420"}, {"ref": "kmmmvs/cudf-cu12-24-04-01-notebook", "kernel_id": "59533480"}, {"ref": "heyviv/wikipedia-faiss-index-creation", "kernel_id": "59285212"}, {"ref": "boredmgr/llama-example", "kernel_id": "60840314"}, {"ref": "richengxuan/llm-evaluation-mmlu-style", "kernel_id": "61457407"}, {"ref": "rahimzakarya/best-submission-challenge-4", "kernel_id": "61146955"}, {"ref": "chuaweicong/prompt-engineering-with-openai-api", "kernel_id": "61468937"}, {"ref": "wanderings/getting-started-with-llms", "kernel_id": "62729035"}, {"ref": "iminmsmw/how-to-finetune-llms-with-lora", "kernel_id": "63637289"}, {"ref": "rockystats/llm-01-how-to-use-llms-with-hugging-face", "kernel_id": "64889147"}, {"ref": "nilanjanabh/embeddings", "kernel_id": "64956592"}, {"ref": "andersonhklein/ucsc-nlp-final-project", "kernel_id": "67128979"}, {"ref": "kokkoksc/llm-science-exam", "kernel_id": "68061263"}, {"ref": "kokkoksc/llm-science-exam-rag", "kernel_id": "68400226"}, {"ref": "hoyso48/chapter-6-llm", "kernel_id": "68484354"}, {"ref": "vikizzz1/llm-science-exam-data-extra-wiki-context", "kernel_id": "68535243"}, {"ref": "scarletmclearn/getting-started-with-llms", "kernel_id": "69248118"}, {"ref": "scarletmclearn/llm-04a-fine-tuning-llms", "kernel_id": "69336756"}, {"ref": "clayton21/llama-2-rag-for-science-exams", "kernel_id": "69556070"}, {"ref": "niersi/llmse-t5-distillation-step-by-step", "kernel_id": "70672962"}, {"ref": "kethavathajaykumar/fine-tuning-llama-2-using-qlora-qna-mul-final", "kernel_id": "70146749"}, {"ref": "arminetedali/tutorium-beginner", "kernel_id": "70094335"}, {"ref": "nettemkrishna/chad-gpts", "kernel_id": "70355067"}, {"ref": "nettemkrishna/chadgpt-ml-project", "kernel_id": "71244858"}, {"ref": "nettemkrishna/chadgpts-deberta-edition", "kernel_id": "71584241"}, {"ref": "xianleigirlv/llmse-zeroshot-gettopk", "kernel_id": "71732412"}, {"ref": "xianleigirlv/openorca-mistral-7b-openorca", "kernel_id": "71756613"}, {"ref": "errorkeepcomoing/recipes-llama-fine-tuning", "kernel_id": "75927254"}, {"ref": "kmmmvs/open-book-llm-science-exam-cuvs-cagra", "kernel_id": "77638982"}, {"ref": "fusy0714/pretrain-deberta-v3-large", "kernel_id": "78265098"}, {"ref": "great23u5/wikipedia-rag", "kernel_id": "79598888"}, {"ref": "deepaksingh2510/platypus2-70b-with-wikipedia-rag", "kernel_id": "79233558"}, {"ref": "ahmedmoselhy/llm-science-exam", "kernel_id": "80978669"}, {"ref": "hoyso48/a-z-llm-part1", "kernel_id": "80278466"}, {"ref": "hoyso48/fork-of-how-to-train-open-book-model-part-2", "kernel_id": "80458879"}, {"ref": "hoyso48/a-z-llm-part3-rag", "kernel_id": "80459044"}, {"ref": "hoyso48/a-z-llm-part2-dapt", "kernel_id": "80459173"}, {"ref": "jaysurender/notebook7edb47f52f", "kernel_id": "80254628"}, {"ref": "hoyso48/a-z-llm-fine-tuning", "kernel_id": "83666334"}, {"ref": "hoyso48/a-z-llm-improving-rag", "kernel_id": "84131589"}, {"ref": "njuspy/kaggle-llm-science-exam-simple", "kernel_id": "91261971"}, {"ref": "metacodeh/a-z-llm-fine-tuning", "kernel_id": "91539211"}, {"ref": "metacodeh/a-z-llm-improving-rag", "kernel_id": "91540268"}, {"ref": "seoyeonpp/a-z-llm-fine-tuning", "kernel_id": "92122004"}, {"ref": "seoyeonpp/a-z-llm-improving-rag", "kernel_id": "92123488"}, {"ref": "adrienthomas/getting-started-with-llms", "kernel_id": "96332995"}, {"ref": "azurshi/tpu-llm", "kernel_id": "98128477"}, {"ref": "aesoonb/a-z-llm-improving-rag", "kernel_id": "103367640"}, {"ref": "aesoonb/a-z-llm-fine-tuning", "kernel_id": "103367206"}, {"ref": "leonchani/01-eda-kaggle-llm-science-exam", "kernel_id": "107829321"}, {"ref": "leonchani/science-exam-simple-approach-w-model-hub", "kernel_id": "109507348"}, {"ref": "leonchani/starter-notebook-ranked-predictions-with-bert", "kernel_id": "109514815"}, {"ref": "leonchani/how-to-train-open-book-model-part-2", "kernel_id": "109528380"}, {"ref": "leonchani/how-to-train-open-book-model-part-1", "kernel_id": "109525881"}, {"ref": "noppawutpongkerati/notebook3267e72ff9", "kernel_id": "119338798"}, {"ref": "serdaronal/llm-science-exam", "kernel_id": "119359369"}, {"ref": "dlckdrnhgfj/0514-a-z-llm-fine-tuning", "kernel_id": "119042612"}, {"ref": "dlckdrnhgfj/0514-a-z-llm-improving-rag", "kernel_id": "119088884"}, {"ref": "metacodeh/week12-q7", "kernel_id": "121405810"}, {"ref": "dannypham1006/llm-science-exam-finetune", "kernel_id": "121634378"}, {"ref": "natdanaisriapai/sci-exam-infer", "kernel_id": "122928425"}, {"ref": "pentor1998/rag-framework-using-a-pointwise-ranking-strategy", "kernel_id": "122151816"}, {"ref": "peerapatkasem/llm-exam", "kernel_id": "131045046"}]}
{"competition_id": "54688", "kernels": []}
{"competition_id": "54698", "kernels": [{"ref": "justinbarton/example-submission-random-baseline", "kernel_id": "45442511"}, {"ref": "dmoreno1998/mixtcrpred-s2-kaggle", "kernel_id": "47505534"}, {"ref": "giancarlocroce/mixtcrpred-s1-kaggle", "kernel_id": "47650980"}, {"ref": "davidgfeller/mixtcrpred-s3", "kernel_id": "47636536"}, {"ref": "mathiasfynbojensen/nettcr-small-training-example", "kernel_id": "47038774"}, {"ref": "mathiasfynbojensen/predicting-with-nettcr-tcrbase", "kernel_id": "47045998"}]}
{"competition_id": "54773", "kernels": [{"ref": "tracyporter/salary-tf-ann", "kernel_id": "39843714"}, {"ref": "tracyporter/salary-rfc", "kernel_id": "39877161"}]}
{"competition_id": "54783", "kernels": [{"ref": "shivamsingh17072001/0-99997-score-simple-basic-implementation", "kernel_id": "39981808"}, {"ref": "tracyporter/stock-prices-tf", "kernel_id": "40007465"}, {"ref": "tracyporter/stock-prices-rfc", "kernel_id": "40012063"}, {"ref": "phmnhnguyt/mlops-phase-2-prob-2", "kernel_id": "40021917"}]}
{"competition_id": "54786", "kernels": [{"ref": "yunsuxiaozi/cifar-10-baseline-vgg0-83966", "kernel_id": "39835167"}, {"ref": "yunsuxiaozi/vgg-prune", "kernel_id": "40776716"}, {"ref": "yunsuxiaozi/cifar-10-upgrade", "kernel_id": "40864015"}]}
{"competition_id": "54820", "kernels": []}
{"competition_id": "54852", "kernels": [{"ref": "bambrozim/industrial-iot-ml-challenge-fall-2023-1st-try", "kernel_id": "46097475"}, {"ref": "thaonguyentrang/new-training-and-test-sets", "kernel_id": "47158725"}]}
{"competition_id": "54859", "kernels": [{"ref": "sgoodfriend/lux2-neurips2-ppo-using-jux", "kernel_id": "46380735"}]}
{"competition_id": "55894", "kernels": []}
{"competition_id": "55909", "kernels": [{"ref": "sreeharic/ml-ai-week-4-starter-notebook", "kernel_id": "39916411"}, {"ref": "shekharjyotinath/hackathon-1", "kernel_id": "39954920"}, {"ref": "abhishekgautam12/iitg-ai-practicehackathon", "kernel_id": "39952209"}, {"ref": "aman7kumar/regression-prob-upvote-if-you-like-it", "kernel_id": "39950690"}, {"ref": "abh1navbhaskar/notebook6b5fef9942", "kernel_id": "40266577"}, {"ref": "aryansingh0909/automl-tpot-auto-gluon-starter-notebook", "kernel_id": "40233583"}, {"ref": "u8d8ash8/ml-ai-hackathon-i", "kernel_id": "40143118"}]}
{"competition_id": "55911", "kernels": [{"ref": "gseskaggle/example", "kernel_id": "40038412"}]}
{"competition_id": "55981", "kernels": []}
{"competition_id": "56024", "kernels": [{"ref": "tracyporter/name-rfc", "kernel_id": "40119275"}, {"ref": "tracyporter/name-tf", "kernel_id": "40118034"}, {"ref": "tracyporter/name-rfc-no-std", "kernel_id": "40125395"}]}
{"competition_id": "56053", "kernels": [{"ref": "gseskaggle/notebook642cdaec31", "kernel_id": "39993348"}]}
{"competition_id": "56071", "kernels": []}
{"competition_id": "56096", "kernels": []}
{"competition_id": "56122", "kernels": []}
{"competition_id": "56125", "kernels": []}
{"competition_id": "56149", "kernels": [{"ref": "tracyporter/cancer-drug-tf-encode", "kernel_id": "40386064"}, {"ref": "tracyporter/cancer-drug-tf-no-std", "kernel_id": "40364489"}, {"ref": "tracyporter/cancer-drug-rfr", "kernel_id": "40368959"}, {"ref": "tracyporter/cancer-drug-lin-reg", "kernel_id": "40369499"}, {"ref": "tracyporter/cancer-drug-rfr-no-std", "kernel_id": "40369344"}, {"ref": "tracyporter/cancer-drug-tf", "kernel_id": "40351788"}]}
{"competition_id": "56167", "kernels": [{"ref": "ipythonx/keras-machine-unlearning-challenge-starting-kit", "kernel_id": "40653887"}, {"ref": "ipythonx/keras-core-machine-unlearning-challenge", "kernel_id": "41601266"}, {"ref": "eleni30fillou/run-unlearn-finetune", "kernel_id": "42906288"}, {"ref": "scottclowe/run-unlearn-finetune-with-classweights", "kernel_id": "43156527"}, {"ref": "luispintoc/selective-synaptic-dampening-ssd", "kernel_id": "43973834"}, {"ref": "adhithyasrinivasan/unlearn", "kernel_id": "43806941"}, {"ref": "mpwolke/nine-eleven-9-11-not-forgetting-mu", "kernel_id": "43075026"}, {"ref": "mpwolke/nothing-to-forget-nothing-to-regret", "kernel_id": "43272895"}, {"ref": "dangnguyen97/neurips-finetuned-efa0bc", "kernel_id": "43836285"}, {"ref": "asarvazyan/unlearn-faces-or-cifar10-submit-w-o-exceptions", "kernel_id": "43256142"}, {"ref": "lifloops/scoring-is-flawed", "kernel_id": "43951751"}, {"ref": "lifloops/leaderboard-insights", "kernel_id": "43272485"}, {"ref": "timo13113/neg-ft-on-forget-pos-ft-on-similar-by-p-hash", "kernel_id": "43196888"}, {"ref": "maheshmohna/mahesh", "kernel_id": "43261680"}, {"ref": "amanmukati/neurips-detrain-model", "kernel_id": "43320502"}, {"ref": "izammohammed/run-unlearn-finetune-with-classweights", "kernel_id": "43278696"}, {"ref": "nithinreddy90/neurips-2023", "kernel_id": "43103841"}, {"ref": "shivankgarg21/lora-unlearn-linear", "kernel_id": "43326678"}, {"ref": "menezmic/machine-unlearning-competition-submission", "kernel_id": "43153156"}, {"ref": "rfeng12/collaborative-notebook", "kernel_id": "43546964"}, {"ref": "rfeng12/neurips-submission-copied-format", "kernel_id": "43766208"}, {"ref": "mix2re/notebook8c62d52383", "kernel_id": "43750149"}, {"ref": "usharengaraju/keras-efficientformerv2-w-b", "kernel_id": "44906982"}, {"ref": "vashisht/stochastic-teacher-network", "kernel_id": "44816171"}, {"ref": "hmasui/debugging-notebook-based-on-run-unlearn-finetune", "kernel_id": "44736680"}, {"ref": "divyanshbhadauria1/unlearn-faces-or-cifar10-submit-w-o-exceptions", "kernel_id": "44035906"}, {"ref": "sanmaprogramming/unlearning-distilation", "kernel_id": "44270622"}, {"ref": "jainam213/custom-unlearn", "kernel_id": "44870357"}, {"ref": "w2yoon/w2y-ssd", "kernel_id": "44386867"}, {"ref": "andrssebastian/neurips-baseline", "kernel_id": "44743169"}, {"ref": "claudiosavelli/sbs-bad-teaching-12th-on-public-leaderboard", "kernel_id": "44409992"}, {"ref": "riyashafees/notebook5db3d8798b", "kernel_id": "44840294"}, {"ref": "guy477/notebook4fc7757a9b", "kernel_id": "44194191"}, {"ref": "sunkroos/submission-csv-not-found-solution", "kernel_id": "45038655"}, {"ref": "nuod8260/targeted-re-initialization-3rd-on-private-lb", "kernel_id": "45789507"}, {"ref": "jaesinahn/forget-set-free-approach-9th-on-private-lb", "kernel_id": "45952355"}, {"ref": "tatamikenn/unlearning-visualizing-output-representations", "kernel_id": "45068746"}, {"ref": "imessam/neurips-2023-machine-unlearning", "kernel_id": "45269145"}, {"ref": "kindngng/unlearning-maximum-entropy", "kernel_id": "45446098"}, {"ref": "shivankgarg21/notebook318c081a64", "kernel_id": "45531615"}, {"ref": "shivankgarg21/notebook32dc030816", "kernel_id": "45523470"}, {"ref": "shivankgarg21/run-lora-prune", "kernel_id": "45490042"}, {"ref": "mgorinova/machine-unlearning-evaluation-on-cifar-10", "kernel_id": "45075795"}, {"ref": "francescorubbo/adversarial-unlearning-finetuning", "kernel_id": "46819637"}, {"ref": "vashisht/fork-of-run-unlearn-finetune", "kernel_id": "46026557"}, {"ref": "vashisht/bad-teacher-unlearning", "kernel_id": "46118982"}, {"ref": "sunkroos/noise-injection-unlearning-8th-place-solution", "kernel_id": "46252140"}, {"ref": "rjraac2018/reset-conv-public-0-0746-private-0-071", "kernel_id": "46197580"}, {"ref": "rjraac2018/random-mask-public-0-0795-private-0-0937", "kernel_id": "46554445"}, {"ref": "vinitkp/neurips-2023-unlearning", "kernel_id": "46897517"}, {"ref": "marvelworld/toshi-k-rotate-and-marvel-pseudo-blend48-52", "kernel_id": "46908483"}, {"ref": "luispintoc/pruning-forget-and-retrain", "kernel_id": "46822009"}, {"ref": "nvnikhil0001/elastic-weight-consolidation", "kernel_id": "46786168"}, {"ref": "sebastianoleszko/prune-re-init-entropy-regularized-fine-tuning", "kernel_id": "46930505"}, {"ref": "jaidevchittoria/imagecomplement-solution-of-unlearning-comp", "kernel_id": "46917242"}, {"ref": "jaidevchittoria/unlearnchallenge-weights-manipulation", "kernel_id": "46205347"}, {"ref": "limyewon/unlearning-with-membership-inference-attack", "kernel_id": "46669625"}, {"ref": "gmalik1998/fork-of-fork-of-run-unlearn-finetune-3bd4dc-06b85a", "kernel_id": "46471578"}, {"ref": "salmanhabeeb/run-unlearn-finetune-03", "kernel_id": "46784584"}, {"ref": "seifachour12/unlearning-solution-3rd-rank", "kernel_id": "46963453"}, {"ref": "fanchuan/2nd-place-machine-unlearning-solution", "kernel_id": "46106922"}, {"ref": "raviiloveyou/machine-unlearning", "kernel_id": "46923725"}, {"ref": "mohitgurnanirajesh/confusion-unlearning", "kernel_id": "46857070"}, {"ref": "darrenshowell/notebookaa6347f184", "kernel_id": "46485900"}, {"ref": "saillaser/seq-forget-retain-histogram-mod-matching-ewc", "kernel_id": "47106216"}, {"ref": "hmasui/unlearn-based-on-bayes-theorem-marginalization", "kernel_id": "47067908"}, {"ref": "stathiskaripidis/unlearning-by-resetting-layers-6th-on-private-lb", "kernel_id": "47139139"}, {"ref": "kuohsintu/saliency-based-unlearning-10th-place-solution", "kernel_id": "47089421"}, {"ref": "abidhasan99/distorting-image", "kernel_id": "47094137"}, {"ref": "abidhasan99/shuffling-the-targets", "kernel_id": "47056857"}, {"ref": "fasihuoe/run-unlearn-finetune", "kernel_id": "47102539"}, {"ref": "fasihuoe/prune-and-repair-819ffb", "kernel_id": "47101002"}, {"ref": "chenboluo/2nd-place-machine-unlearning-solution", "kernel_id": "48578978"}, {"ref": "syedjarullahhisham/neurips-machine-unlearning-improved-scl", "kernel_id": "49105692"}, {"ref": "abdurrafi08236/neurips-machine-unlearning-gradient-ascent", "kernel_id": "50241832"}, {"ref": "vaibhavsatish/machine-unlearning-acm-project", "kernel_id": "59365413"}, {"ref": "trnaacthng/fanchuan-salun-soft", "kernel_id": "67036359"}, {"ref": "thang1703/fanchuan-salun", "kernel_id": "67309157"}, {"ref": "anikethhhh/submission-1752003150", "kernel_id": "86658255"}, {"ref": "tawhidmubashwir/neurips-machine-unlearning-gradient-ascent", "kernel_id": "107213509"}]}
{"competition_id": "56206", "kernels": [{"ref": "umongsain/eda-dl-sprint-2-0", "kernel_id": "40135018"}, {"ref": "mdmehedihasanshawon/a-complete-notebook-dl-sprint-2-0", "kernel_id": "40571507"}, {"ref": "sameen53/yolov8-minimum-working-sample", "kernel_id": "40375435"}, {"ref": "akifhamid/dlsprint2-eda", "kernel_id": "40312198"}, {"ref": "brainiac2677/black-quad-training-notebook", "kernel_id": "40837271"}, {"ref": "brainiac2677/badlad-a-complete-eda", "kernel_id": "40370047"}, {"ref": "asibrahman/eda-classwise-distribution", "kernel_id": "40289212"}, {"ref": "abrarjahinniloy/detectron-model", "kernel_id": "40790129"}, {"ref": "samratabduljalil/clear-starter-notebook-dl-sprint-2-0", "kernel_id": "40363628"}, {"ref": "salmankhondker/starter-notebook-dl-sprint-2-0", "kernel_id": "40202287"}, {"ref": "kazireyazulhasan/best-result-yet", "kernel_id": "40745290"}, {"ref": "radeenmostafa/clip-image-similarity", "kernel_id": "41465300"}, {"ref": "radeenmostafa/layoutlmv3-inference", "kernel_id": "41827075"}, {"ref": "radeenmostafa/ensemble-inference-708631", "kernel_id": "41635820"}, {"ref": "umongsain/a-z-guide-for-dlsprint-2-0-dla", "kernel_id": "41028000"}, {"ref": "umongsain/yolov8-960px-badlad-fold-2", "kernel_id": "41103841"}, {"ref": "umongsain/yolov8-960px-badlad-full", "kernel_id": "41342544"}, {"ref": "brainiac2677/black-quad-inference-notebook", "kernel_id": "41827662"}, {"ref": "arafatshovon/yolo-train", "kernel_id": "41497108"}, {"ref": "arafatshovon/yolo-inference", "kernel_id": "41327118"}, {"ref": "ash1971/dit-sub-template-with-tta", "kernel_id": "41781111"}, {"ref": "ash1971/deeplabv3", "kernel_id": "41568431"}, {"ref": "abrarjahinniloy/yolo-model-e-2-training", "kernel_id": "41067222"}, {"ref": "abrarjahinniloy/yolo-inference", "kernel_id": "41766232"}, {"ref": "salmankhondker/detectron2-evaluation-dl-sprint-2-0", "kernel_id": "41580580"}, {"ref": "qoobeeshy/retina-double-model", "kernel_id": "41736796"}, {"ref": "qoobeeshy/rusty-inference", "kernel_id": "41801794"}, {"ref": "mukaffimoin/training", "kernel_id": "41804537"}, {"ref": "shresthadatta/dl-sprint-2-0-inference-notebook", "kernel_id": "41819954"}, {"ref": "shresthadatta/a-complete-notebook-dl-sprint-2-0-6ed2e5-a29f90", "kernel_id": "41756932"}, {"ref": "shresthadatta/fork-of-a-complete-notebook-dl-sprint-2-0-6ed2e5", "kernel_id": "41776507"}, {"ref": "shresthadatta/a-complete-notebook-dl-sprint-2-0-6ed2e5-a2e472", "kernel_id": "41390506"}, {"ref": "kujiratora/notebookf45206090c", "kernel_id": "41592214"}, {"ref": "kujiratora/fork-of-notebookf45206090c-01ccde", "kernel_id": "41655713"}, {"ref": "salehahmedshafin/detectron2-segmentation", "kernel_id": "41827499"}, {"ref": "mashrurmahmood/theemptynotebook-inference", "kernel_id": "41829316"}, {"ref": "mashrurmahmood/theemptynotebook-train", "kernel_id": "41800490"}, {"ref": "noobrad/dit-maskrcnn", "kernel_id": "41062355"}, {"ref": "positivesas/another-detectron2-model", "kernel_id": "41172740"}, {"ref": "umongsain/rx-7600-yolo-ensemble-majority-voting", "kernel_id": "42019146"}, {"ref": "qoobeeshy/krusty-double-model", "kernel_id": "42145093"}, {"ref": "ikramulkayes/yolov5-test1", "kernel_id": "53253478"}, {"ref": "mehrinnusrat/starter-notebook-dl-sprint2-0-enhancing-sharpness", "kernel_id": "74565156"}, {"ref": "mehrinnusrat/starter-notebook-dl-sprint2-0-black-white", "kernel_id": "74524622"}, {"ref": "mehrinnusrat/starter-notebook-dl-sprint2-0-density-inc-v2", "kernel_id": "96418256"}, {"ref": "mehrinnusrat/starter-notebook-dl-sprint-2-0-log-transform-v4", "kernel_id": "96487649"}, {"ref": "mehrinnusrat/starter-notebook-dl-sprint-2-0-inc-max-iteration", "kernel_id": "96543658"}]}
{"competition_id": "56210", "kernels": [{"ref": "bhollan/benchmark-random-choice", "kernel_id": "41288006"}, {"ref": "kaushalkrishna2000/acquire-winner-notebook", "kernel_id": "41427824"}]}
{"competition_id": "56211", "kernels": [{"ref": "satyabrat35/k-means-vs-birch-for-heart-disease", "kernel_id": "40640437"}, {"ref": "tracyporter/heart-disease-kmeans-3", "kernel_id": "40296944"}, {"ref": "ajr094/heart-disease-kmeans-algo-best-score-solution", "kernel_id": "40684072"}, {"ref": "kadernarn/heart-disease-clustering", "kernel_id": "49265908"}, {"ref": "hongvntin47/heart-disease-clustering", "kernel_id": "57521588"}, {"ref": "mmenendezg/heart-disease-analysis-k-means-clustering", "kernel_id": "63529326"}, {"ref": "nikhilpro/aih-k-means", "kernel_id": "64366703"}, {"ref": "dranilkumardubey/anil-kmeans", "kernel_id": "81749646"}, {"ref": "harshkumarsah/harsh-kumar-sah", "kernel_id": "81751881"}, {"ref": "adityavaish0604/aih-k-means", "kernel_id": "81752023"}, {"ref": "adityavaish0604/heart-disease-analysis-k-means-clustering", "kernel_id": "81750549"}, {"ref": "kirtijain19/kirti", "kernel_id": "81753179"}, {"ref": "kirtijain19/heart-disease-clustering", "kernel_id": "81752812"}, {"ref": "adityaraj9/k-means-clustering-by-aditya-raj", "kernel_id": "81749694"}, {"ref": "ashirwadmishra101/ashirwad-mishra-28-4", "kernel_id": "81752276"}, {"ref": "amanyamaurya/amanya-maurya", "kernel_id": "81750686"}, {"ref": "divyanshuupahdyay/heart-disease-clustering", "kernel_id": "81751466"}, {"ref": "divyanshuupahdyay/divyanshu", "kernel_id": "81753131"}, {"ref": "ishlokdwivedi/ishlok", "kernel_id": "81752577"}, {"ref": "dhruv0125/dhruv-saini", "kernel_id": "81753707"}, {"ref": "ananyaashrm/notebook-ananya", "kernel_id": "81749690"}, {"ref": "anubhavgupta07/anubhav-gupta", "kernel_id": "81752721"}, {"ref": "ayushshakya24/ayush-shakya", "kernel_id": "81750177"}, {"ref": "adarshdhiman01/notebook991f0255a9", "kernel_id": "81753458"}, {"ref": "ankita05singh/ankita-singh", "kernel_id": "81749916"}, {"ref": "eykagragangwar/heart-disease-clustering-306588", "kernel_id": "81751289"}, {"ref": "eykagragangwar/eykagra", "kernel_id": "81753036"}, {"ref": "avinash27032004/notebook5a68c5f999", "kernel_id": "81750534"}, {"ref": "krishnasingh219/heart-disease-clustering", "kernel_id": "81750834"}, {"ref": "krishnasingh219/krishna", "kernel_id": "81752803"}, {"ref": "aditya121229/aditya", "kernel_id": "81750456"}, {"ref": "anshika336/newcreated1", "kernel_id": "81751340"}, {"ref": "anshika336/anshika", "kernel_id": "81752240"}, {"ref": "atulkumarchauhan/k-means-clustering", "kernel_id": "81750471"}, {"ref": "anubhavkrsom/anubhav-kumar", "kernel_id": "81750651"}, {"ref": "arpit0987/arpit-maurya", "kernel_id": "81750152"}, {"ref": "ayushsingh0811/numpy-and-pandas", "kernel_id": "81749715"}, {"ref": "ayushsingh0811/ayushsingh", "kernel_id": "81751518"}, {"ref": "abhinavtyagi000001/abhinav-tyagi", "kernel_id": "81751946"}, {"ref": "harsharya22/harsh-arya", "kernel_id": "81752569"}, {"ref": "ayushgoyal05/ayush-goyal", "kernel_id": "81749687"}, {"ref": "anuragyadav000000005/anurag-raoshab", "kernel_id": "81752113"}, {"ref": "dakshrathitopper/daksh-rathi", "kernel_id": "81752796"}, {"ref": "dewanggandhi/dewang-gandhi-01", "kernel_id": "82721403"}, {"ref": "gsmfnc/heart-disease-competition", "kernel_id": "83884956"}, {"ref": "osquerkkzlk/jupyter-13-95949-10-537-kaggle", "kernel_id": "91821044"}, {"ref": "arpanbandyopadhyay/k-means-heart-disease-arpan", "kernel_id": "109054489"}, {"ref": "irfanmohamedvdk/k-means-clustering-heart-disease-analysis", "kernel_id": "112344114"}, {"ref": "davidsmv/clustering-for-heart-disease", "kernel_id": "133034150"}, {"ref": "tahaminatania/k-means-clustering-heart-disease-analysis", "kernel_id": "135847059"}]}
{"competition_id": "56212", "kernels": []}
{"competition_id": "56215", "kernels": [{"ref": "tracyporter/volunteer1-rfr-std", "kernel_id": "40234505"}, {"ref": "tracyporter/volunteer1-linreg", "kernel_id": "40216480"}]}
{"competition_id": "56216", "kernels": []}
{"competition_id": "56217", "kernels": []}
{"competition_id": "56220", "kernels": []}
{"competition_id": "56231", "kernels": [{"ref": "nisarbalti/dlai7-digit-recognizer-using-tensorflow", "kernel_id": "41278917"}, {"ref": "diazko/dlai7-hackathon-sample", "kernel_id": "41220997"}, {"ref": "marwanismail1/cnn-model-for-digit-recognizer-competition", "kernel_id": "41219865"}, {"ref": "retrobomb/dlai-hackathon", "kernel_id": "41220444"}, {"ref": "michaelmoshui/digit-recognizer-submission-notebook", "kernel_id": "41219825"}]}
{"competition_id": "56351", "kernels": []}
{"competition_id": "56355", "kernels": [{"ref": "rarecu/get-started", "kernel_id": "40330957"}, {"ref": "tracyporter/volunteer2", "kernel_id": "40287785"}]}
{"competition_id": "56406", "kernels": [{"ref": "justinlin888/notebookc9b6f8b260", "kernel_id": "45444036"}]}
{"competition_id": "56417", "kernels": [{"ref": "lucasmorin/constant-baseline", "kernel_id": "40464160"}, {"ref": "klyushnik/i-tried-so-hard", "kernel_id": "40719673"}]}
{"competition_id": "56524", "kernels": []}
{"competition_id": "56535", "kernels": [{"ref": "justinlin888/notebook4fa7395512", "kernel_id": "44018451"}, {"ref": "justincmu12345/notebookcd32c4416f", "kernel_id": "44985173"}, {"ref": "justinlin888cmu123/notebookcd32c4416f", "kernel_id": "45080877"}]}
{"competition_id": "56537", "kernels": [{"ref": "mpwolke/leap-feather-low-mem", "kernel_id": "54990578"}, {"ref": "titericz/giba-baseline-xgboost", "kernel_id": "55341668"}, {"ref": "krishm/leap-atmospheric-physics-using-ai-eda", "kernel_id": "55037598"}, {"ref": "docxian/leap-climsim-visual-eda", "kernel_id": "55002537"}, {"ref": "ymatioun/leap-simple-nn", "kernel_id": "55103643"}, {"ref": "umar47/atmospheric-physics-analyse-and-modelling-baseline", "kernel_id": "55170946"}, {"ref": "airazusta014/pytorch-nn", "kernel_id": "55336060"}, {"ref": "allegich/leap-2024-eda-nn-model-sub", "kernel_id": "55172917"}, {"ref": "catadanna/columns-to-delete", "kernel_id": "55206961"}, {"ref": "catadanna/leap-get-features-with-one-unique-value", "kernel_id": "55081220"}, {"ref": "tanakar/nn-tensorflow-tpu-starter", "kernel_id": "55256986"}, {"ref": "aatiffraz/180gb-to-17gb-while-preserving-99-9-variance", "kernel_id": "55188616"}, {"ref": "yeonseokcho/atmospheric-physics-using-ai", "kernel_id": "55787278"}, {"ref": "lonnieqin/leap-catboost-baseline", "kernel_id": "55789617"}, {"ref": "wangyuren/leap-clisim-prediction", "kernel_id": "55274062"}, {"ref": "akshaysunil/transformer-model-for-climsim", "kernel_id": "55232736"}, {"ref": "asarvazyan/leap-predict-the-mean", "kernel_id": "55007709"}, {"ref": "swayamsinghal/leap-xgboost-approach-beginner-friendly", "kernel_id": "55897549"}, {"ref": "priyanshubanerjee/data-prepration-for-leap-atmospheric-physics-ai-c", "kernel_id": "55583397"}, {"ref": "ravi20076/climsim-starter-v2", "kernel_id": "55079183"}, {"ref": "ravi20076/climsim2024-starterdata-v1", "kernel_id": "55069091"}, {"ref": "ravi20076/climsim-submission", "kernel_id": "55320691"}, {"ref": "starcs2001/data-reduction-notebook", "kernel_id": "55187818"}, {"ref": "starcs2001/chunk-wise-training-trial", "kernel_id": "55250862"}, {"ref": "starcs2001/starter-v1-with-pca-and-distributed-model-approach", "kernel_id": "55089407"}, {"ref": "jayshah1234/js-baseline-xgboost-score-0-51", "kernel_id": "55549385"}, {"ref": "jayshah1234/data-analysis-1", "kernel_id": "55433903"}, {"ref": "taikiogihara/leap-csv2parquet-eda-correlation-clustering", "kernel_id": "55856202"}, {"ref": "taikiogihara/leap-baseline-keras", "kernel_id": "55980486"}, {"ref": "taikiogihara/leap-1st-submission-keras", "kernel_id": "55968034"}, {"ref": "cybersimar08/leap-dask-intro", "kernel_id": "55069036"}, {"ref": "chrisk321/atmospheric-physics-r-chunking-files-starter", "kernel_id": "55591855"}, {"ref": "neerajkumar75260/leap-climsim", "kernel_id": "55453016"}, {"ref": "jano123/leap-simple", "kernel_id": "55331362"}, {"ref": "apopur/leap-simple-nn", "kernel_id": "55308994"}, {"ref": "pfgkazundo/leapvis-pfgk", "kernel_id": "55615839"}, {"ref": "minhsienweng/leap-baselines", "kernel_id": "55184545"}, {"ref": "taichiuemura/leap-eda-1", "kernel_id": "55242113"}, {"ref": "taichiuemura/leap-mean-prediction", "kernel_id": "55243499"}, {"ref": "taichiuemura/leap-mlp", "kernel_id": "55325669"}, {"ref": "inabower/leap-minimum-submission", "kernel_id": "56483500"}, {"ref": "martynoveduard/how-many-targets-can-we-predict", "kernel_id": "56144715"}, {"ref": "shlomoron/leap-sample-submission-stds", "kernel_id": "56363570"}, {"ref": "swayamsinghal/leap-catboost-approach-beginner-friendly", "kernel_id": "56237916"}, {"ref": "farisalahmdi/mlp-and-unet-baseline", "kernel_id": "56388245"}, {"ref": "vladimirgc/00-physics", "kernel_id": "56588131"}, {"ref": "daniel12341/leap-pipeline-lgbm", "kernel_id": "56401285"}, {"ref": "taikiogihara/csv-to-parquet-conversion-and-uploading-to-dataset", "kernel_id": "56047968"}, {"ref": "ucas0v0zhuoqunli/simplify-data-and-questions", "kernel_id": "56469490"}, {"ref": "talhabarkaatahmad/leap-v01-custom-nn-with-batch-training", "kernel_id": "56291045"}, {"ref": "jeffersusus/leap-catboost-baseline", "kernel_id": "56284061"}, {"ref": "abiolatti/keras-baseline-with-tfrecords", "kernel_id": "57588270"}, {"ref": "egortrushin/leap-ffnn-pytorch", "kernel_id": "57289877"}, {"ref": "fortis3000/simple-autoencoder-for-tabular-data", "kernel_id": "57505704"}, {"ref": "fortis3000/variational-autoencoder-for-tabular-data", "kernel_id": "57518957"}, {"ref": "mehrankazeminia/leap-ensembling2-correlation", "kernel_id": "57313269"}, {"ref": "mehrankazeminia/leap-ensembling-correlation", "kernel_id": "57238771"}, {"ref": "greysky/leap-dataset-preparation", "kernel_id": "57784756"}, {"ref": "greysky/leap-pytorch-baseline", "kernel_id": "57456083"}, {"ref": "shlomoron/leap-download-data-drafty", "kernel_id": "57944314"}, {"ref": "charleyxiao/leap-pytorch-baseline", "kernel_id": "57492529"}, {"ref": "talhabarkaatahmad/leap-data-preparation-random-1-5m", "kernel_id": "57959721"}, {"ref": "jeffersusus/add-ramdom", "kernel_id": "57591282"}, {"ref": "tankeying/leap-atmospheric", "kernel_id": "57496668"}, {"ref": "happykiter/convert-original-dataset-read-pl2", "kernel_id": "57984948"}, {"ref": "happykiter/fork-of-convert-original-dataset-read-pl3", "kernel_id": "57985521"}, {"ref": "happykiter/fork-of-convert-original-dataset-read-pl4", "kernel_id": "57985934"}, {"ref": "happykiter/convert-original-dataset-read-pl", "kernel_id": "57851110"}, {"ref": "abiolatti/keras-baseline-seq2seq", "kernel_id": "58425523"}, {"ref": "romulol/leap-mlp", "kernel_id": "58064966"}, {"ref": "romulol/leap-xgboost", "kernel_id": "58744298"}, {"ref": "shlomoron/leap-grid", "kernel_id": "58325668"}, {"ref": "shlomoron/leap-download-data-1", "kernel_id": "58301907"}, {"ref": "shlomoron/leap-download-data-15", "kernel_id": "58531235"}, {"ref": "shlomoron/leap-download-data-16", "kernel_id": "58531348"}, {"ref": "shlomoron/leap-download-data-13", "kernel_id": "58517656"}, {"ref": "shlomoron/leap-download-data-14", "kernel_id": "58517660"}, {"ref": "shlomoron/leap-download-data-7", "kernel_id": "58509283"}, {"ref": "shlomoron/leap-download-data-8", "kernel_id": "58509287"}, {"ref": "shlomoron/leap-download-data-9", "kernel_id": "58509360"}, {"ref": "shlomoron/leap-download-data-10", "kernel_id": "58509363"}, {"ref": "shlomoron/leap-download-data-11", "kernel_id": "58509367"}, {"ref": "shlomoron/leap-download-data-12", "kernel_id": "58509446"}, {"ref": "shlomoron/leap-download-data-2", "kernel_id": "58479253"}, {"ref": "shlomoron/leap-download-data-3", "kernel_id": "58479521"}, {"ref": "shlomoron/leap-download-data-4", "kernel_id": "58479546"}, {"ref": "shlomoron/leap-download-data-6", "kernel_id": "58482105"}, {"ref": "shlomoron/leap-download-data-5", "kernel_id": "58479899"}, {"ref": "konstantinboyko/keras-baseline-seq2seq", "kernel_id": "58471660"}, {"ref": "ray2711/leap-data-small-subset-1-7gb-100000-rows", "kernel_id": "58817345"}, {"ref": "cristobaltudela/leap-reduce-full-data-180gb-to-38gb-with-dask", "kernel_id": "58084337"}, {"ref": "palakpaneer/keras-neural-network", "kernel_id": "58136159"}, {"ref": "happykiter/gpu-lightgmb-leap-include-physicis-gradient4", "kernel_id": "58571853"}, {"ref": "fpeccia/keras-baseline-seq2seq-tpu", "kernel_id": "59928396"}, {"ref": "utm529fg/leap-initaleda", "kernel_id": "59121191"}, {"ref": "romulol/volume-agua", "kernel_id": "59394864"}, {"ref": "arjunm97/eda-using-random-sampling-and-clustering-cpu", "kernel_id": "59464798"}, {"ref": "birlinha/csv-strategy", "kernel_id": "59288259"}, {"ref": "shlomoron/leap-download-data-27", "kernel_id": "59063742"}, {"ref": "shlomoron/leap-download-data-28", "kernel_id": "59074531"}, {"ref": "shlomoron/leap-download-data-29", "kernel_id": "59074534"}, {"ref": "shlomoron/leap-download-data-30", "kernel_id": "59074536"}, {"ref": "shlomoron/leap-download-data-26", "kernel_id": "59060520"}, {"ref": "shlomoron/leap-download-data-31", "kernel_id": "59085863"}, {"ref": "shlomoron/leap-download-data-32", "kernel_id": "59085864"}, {"ref": "shlomoron/2024-04-leap-nn4", "kernel_id": "59003088"}, {"ref": "shlomoron/leap-download-data-17", "kernel_id": "59022180"}, {"ref": "shlomoron/leap-download-data-18", "kernel_id": "59022183"}, {"ref": "shlomoron/leap-download-data-19", "kernel_id": "59022186"}, {"ref": "shlomoron/leap-download-data-21", "kernel_id": "59022189"}, {"ref": "shlomoron/leap-download-data-20", "kernel_id": "59022193"}, {"ref": "shlomoron/leap-download-data-23", "kernel_id": "59053581"}, {"ref": "shlomoron/leap-download-data-24", "kernel_id": "59053582"}, {"ref": "shlomoron/leap-download-data-25", "kernel_id": "59053588"}, {"ref": "shlomoron/leap-download-data-22", "kernel_id": "59053576"}, {"ref": "ucas0v0zhuoqunli/plot-on-a-map", "kernel_id": "59874777"}, {"ref": "jmeanalot/jy-just", "kernel_id": "59661909"}, {"ref": "minhsienweng/leap-data-divided-to-small-chunks", "kernel_id": "59225178"}, {"ref": "akiokuyama/eda-of-leap", "kernel_id": "59197783"}, {"ref": "tonquishageter/keras-baseline-seq2seq", "kernel_id": "59479056"}, {"ref": "enzosebiane/keras-baseline-seq2seq", "kernel_id": "59761208"}, {"ref": "shlomoron/leap-gcp-path-tfrecs-s", "kernel_id": "60145866"}, {"ref": "shlomoron/leap-data-to-tfrecs-31-s", "kernel_id": "60082640"}, {"ref": "shlomoron/leap-data-to-tfrecs-32-s", "kernel_id": "60082668"}, {"ref": "shlomoron/leap-data-to-tfrecs-6-s", "kernel_id": "60008424"}, {"ref": "shlomoron/leap-data-to-tfrecs-7-s", "kernel_id": "60008428"}, {"ref": "shlomoron/leap-data-to-tfrecs-8-s", "kernel_id": "60008431"}, {"ref": "shlomoron/leap-data-to-tfrecs-9-s", "kernel_id": "60008432"}, {"ref": "shlomoron/leap-data-to-tfrecs-10-s", "kernel_id": "60008434"}, {"ref": "shlomoron/leap-data-to-tfrecs-2-s", "kernel_id": "60005157"}, {"ref": "shlomoron/leap-data-to-tfrecs-3-s", "kernel_id": "60005159"}, {"ref": "shlomoron/leap-data-to-tfrecs-4-s", "kernel_id": "60005161"}, {"ref": "shlomoron/leap-data-to-tfrecs-5-s", "kernel_id": "60005162"}, {"ref": "shlomoron/leap-data-to-tfrecs-1-s", "kernel_id": "60004730"}, {"ref": "shlomoron/leap-data-to-tfrecs-11-s", "kernel_id": "60060188"}, {"ref": "shlomoron/leap-data-to-tfrecs-12-s", "kernel_id": "60060189"}, {"ref": "shlomoron/leap-data-to-tfrecs-13-s", "kernel_id": "60060191"}, {"ref": "shlomoron/leap-data-to-tfrecs-14-s", "kernel_id": "60060192"}, {"ref": "shlomoron/leap-data-to-tfrecs-18-s", "kernel_id": "60064126"}, {"ref": "shlomoron/leap-data-to-tfrecs-15-s", "kernel_id": "60064113"}, {"ref": "shlomoron/leap-data-to-tfrecs-16-s", "kernel_id": "60064116"}, {"ref": "shlomoron/leap-data-to-tfrecs-17-s", "kernel_id": "60064121"}, {"ref": "shlomoron/leap-data-to-tfrecs-19-s", "kernel_id": "60066670"}, {"ref": "shlomoron/leap-data-to-tfrecs-20-s", "kernel_id": "60066671"}, {"ref": "shlomoron/leap-data-to-tfrecs-21-s", "kernel_id": "60066674"}, {"ref": "shlomoron/leap-data-to-tfrecs-22-s", "kernel_id": "60066676"}, {"ref": "shlomoron/leap-data-to-tfrecs-23-s", "kernel_id": "60068349"}, {"ref": "shlomoron/leap-data-to-tfrecs-24-s", "kernel_id": "60068350"}, {"ref": "shlomoron/leap-data-to-tfrecs-25-s", "kernel_id": "60068352"}, {"ref": "shlomoron/leap-data-to-tfrecs-26-s", "kernel_id": "60068354"}, {"ref": "shlomoron/leap-data-to-tfrecs-27-s", "kernel_id": "60070389"}, {"ref": "shlomoron/leap-data-to-tfrecs-28-s", "kernel_id": "60070392"}, {"ref": "shlomoron/leap-data-to-tfrecs-29-s", "kernel_id": "60070395"}, {"ref": "shlomoron/leap-data-to-tfrecs-30-s", "kernel_id": "60070397"}, {"ref": "gnanaprakashr/leap-eda-notebook1", "kernel_id": "60843634"}, {"ref": "babydriver1233/leap-atmospheric-physics", "kernel_id": "60304968"}, {"ref": "behzadansarinejad/keras-baseline-seq2seq", "kernel_id": "60706880"}, {"ref": "ahmedelneim/data-preparation-atmospheric-physics", "kernel_id": "60500250"}, {"ref": "ahmedelneim/model-training-atmospheric-physics", "kernel_id": "60500337"}, {"ref": "arionlazarus/leapsub2", "kernel_id": "60052657"}, {"ref": "fpeccia/leap-all-postprocessing-submission-techniques", "kernel_id": "61472690"}, {"ref": "hideyukizushi/leap-k07092221-u-net-e50", "kernel_id": "61833836"}, {"ref": "loukaspritsas/atmospheric-physics-prediction-keras-jax-be", "kernel_id": "61214281"}, {"ref": "shlomoron/leap-gcp-path-tfrecs-hr", "kernel_id": "61307716"}, {"ref": "farisalahmdi/lr-baseline", "kernel_id": "61351297"}, {"ref": "farisalahmdi/keras-baseline-seq2seq", "kernel_id": "61476893"}, {"ref": "babydriver1233/atmospheric-physics-with-tfrecords", "kernel_id": "61389600"}, {"ref": "matheodantas/leap-xgboost", "kernel_id": "61077892"}, {"ref": "alejandravillarreal/leap-atmospheric-physics-features-segmentation", "kernel_id": "61687059"}, {"ref": "bestwater/leap-u-net", "kernel_id": "61751015"}, {"ref": "mariabrandaob/leap-xgboost", "kernel_id": "61077604"}, {"ref": "samanyuparvathaneni/capstone-project-notebook", "kernel_id": "61738911"}, {"ref": "deshawnatkinson264/notebooke3678dfabb", "kernel_id": "61803039"}, {"ref": "zahid1/rain-simulation", "kernel_id": "62856269"}, {"ref": "hideyukizushi/leap-inf-single-als-b-140-unet-1024-e10", "kernel_id": "62518934"}, {"ref": "hideyukizushi/leap-inf-pub-als-b-140-unet-1024-e10", "kernel_id": "62243753"}, {"ref": "uesugierii/leap-11th-pb0-78491", "kernel_id": "62250559"}, {"ref": "lenferdetroud/leap-u-net", "kernel_id": "62034419"}, {"ref": "semiheren/leap-inf-0-70005-pub-als-b-130-unet-512-975a0c", "kernel_id": "62512623"}, {"ref": "shlomoron/leap-tfrec-combined-1-s-public", "kernel_id": "62100519"}, {"ref": "shlomoron/leap-download-data-1-xx-public", "kernel_id": "62100778"}, {"ref": "shlomoron/leap-ensemble", "kernel_id": "62206338"}, {"ref": "shlomoron/leap-msm-public", "kernel_id": "62105188"}, {"ref": "shlomoron/leap-msm-compare", "kernel_id": "62105888"}, {"ref": "shlomoron/leap-training-1", "kernel_id": "62366456"}, {"ref": "shlomoron/leap-0p0-3epochs-e30-inference-p", "kernel_id": "62454656"}, {"ref": "shlomoron/leap-training-2", "kernel_id": "62425254"}, {"ref": "shlomoron/leap-training-3", "kernel_id": "62444084"}, {"ref": "shlomoron/leap-0p0-9epochs-e58-inference-p", "kernel_id": "62499402"}, {"ref": "shlomoron/leap-0p0-9epochs-e90-inference-p", "kernel_id": "62500470"}, {"ref": "shlomoron/leap-training-4-inference", "kernel_id": "62502549"}, {"ref": "shlomoron/leap-0p0-384dim-nost-3epochs-e30-inference-p", "kernel_id": "62501103"}, {"ref": "shlomoron/leap-training-4", "kernel_id": "62497429"}, {"ref": "shlomoron/leap-0p0-6epochs-e60-inference-p", "kernel_id": "62495445"}, {"ref": "shlomoron/leap-preds-validation", "kernel_id": "62495202"}, {"ref": "shlomoron/leap-hr-0p0-256dim-4epochs-fr-e40-inference-p", "kernel_id": "62526543"}, {"ref": "shlomoron/leap-hr-0p0-4epochs-e40-inference-p", "kernel_id": "62521958"}, {"ref": "shlomoron/leap-training-4-submit", "kernel_id": "62503238"}, {"ref": "emanuelruzak/fork-of-simple-bert-v23", "kernel_id": "62236477"}, {"ref": "zahid1/rain-simulator", "kernel_id": "63062369"}, {"ref": "ajobseeker/leap-train", "kernel_id": "63066466"}, {"ref": "swufeleo/leap-summary-lizizhuo", "kernel_id": "63633195"}, {"ref": "sigmoidblackbook/fork-of-leap-u-net", "kernel_id": "64284565"}, {"ref": "samanyuparvathaneni/dataset-upload-to-s3", "kernel_id": "66025917"}, {"ref": "matthieuouvrard/notebook0678d4b713-ilumnia", "kernel_id": "72883441"}, {"ref": "alterniko/leap-u-net", "kernel_id": "75044909"}, {"ref": "nocarbonintelligence/leap-model", "kernel_id": "103255820"}, {"ref": "amazingkenneth/gan-for-stanford-dogs", "kernel_id": "116174496"}, {"ref": "matheusbonjour/leap-climsim-atmospheric-resnet-gpu", "kernel_id": "129383050"}]}
{"competition_id": "56539", "kernels": [{"ref": "priyanshuagwl/keras-face-verification", "kernel_id": "43949358"}, {"ref": "justinlin888/notebook4fa7395512", "kernel_id": "44018451"}, {"ref": "justincmu12345/notebookcd32c4416f", "kernel_id": "44985173"}, {"ref": "justinlin888cmu123/notebookcd32c4416f", "kernel_id": "45080877"}]}
{"competition_id": "56602", "kernels": [{"ref": "poluxer/guide-non-linear-features-generation-with-gplearn", "kernel_id": "40632138"}, {"ref": "lucasmorin/slp-eda-logistic", "kernel_id": "40518524"}, {"ref": "lucasmorin/slp-random-baseline", "kernel_id": "40517570"}, {"ref": "tracyporter/stock-market-tf", "kernel_id": "40761493"}, {"ref": "tracyporter/stock-market-tf-corr", "kernel_id": "40771542"}, {"ref": "sagayaabinesh/s-l-stock-market-xgboost-classification", "kernel_id": "40550790"}, {"ref": "joshuacurtiswebb/long-short-stock-market-cv-xgboost", "kernel_id": "41307373"}, {"ref": "joshuacurtiswebb/short-long-stock-market-exploratory-data-analysis", "kernel_id": "41106976"}, {"ref": "joshuacurtiswebb/long-short-stock-market-pred-feature-selection", "kernel_id": "41077280"}, {"ref": "felipecamelo/random-forest-score-0-74937-after-deadline", "kernel_id": "51182342"}]}
{"competition_id": "56645", "kernels": [{"ref": "lucasmorin/acd-eda-logistic", "kernel_id": "40519301"}, {"ref": "lucasmorin/acd-random-baseline", "kernel_id": "40517417"}]}
{"competition_id": "56662", "kernels": []}
{"competition_id": "56744", "kernels": []}
{"competition_id": "56831", "kernels": []}
{"competition_id": "56858", "kernels": [{"ref": "dyh930610/textual-feature-extractor-ipynb", "kernel_id": "42651957"}, {"ref": "dyh930610/data-loading-ipynb", "kernel_id": "42616062"}, {"ref": "dyh930610/visual-feature-extractor-ipynb", "kernel_id": "42663831"}, {"ref": "dyh930610/strong-baseline-ipynb", "kernel_id": "42739499"}]}
{"competition_id": "56933", "kernels": []}
{"competition_id": "56937", "kernels": []}
{"competition_id": "56976", "kernels": []}
{"competition_id": "56997", "kernels": []}
{"competition_id": "57017", "kernels": [{"ref": "rayhandiahpurwadi/crazy-ensemble-stack-for-tutors-price-prediction", "kernel_id": "41480430"}]}
{"competition_id": "57029", "kernels": [{"ref": "nomsgg/seqs-generate-baseline", "kernel_id": "41554968"}, {"ref": "nomsgg/baseline-esm-tf-methods", "kernel_id": "41446116"}]}
{"competition_id": "57047", "kernels": [{"ref": "mohit19/predict-farming-duration", "kernel_id": "40924740"}, {"ref": "prajwalkanade/predicting-farming-job-duration", "kernel_id": "40844394"}, {"ref": "kaushalkrishna2000/predicting-farming-notebook-tensorflow", "kernel_id": "41366759"}, {"ref": "kaushalkrishna2000/predicting-farming-job-duration-notebook", "kernel_id": "41330650"}, {"ref": "jimgruman/job-durations", "kernel_id": "50920275"}]}
{"competition_id": "57048", "kernels": []}
{"competition_id": "57094", "kernels": [{"ref": "vipin20/arima-sarimax-exponential-smoothing-using-optuna", "kernel_id": "26428347"}, {"ref": "paddykb/2nd-place-solution-ps-s3e19-gammy-sales", "kernel_id": "40990381"}, {"ref": "paddykb/ps-s3e19-tableau-eda-gam-fit", "kernel_id": "40996951"}, {"ref": "aerdem4/playground-s3e19-lofo-feature-importance", "kernel_id": "40930580"}, {"ref": "kim145/mini-course-sales-eda-first-cut-lstm", "kernel_id": "40983335"}, {"ref": "arnogils/playground-s03e19-basic-buildout", "kernel_id": "40996793"}, {"ref": "docxian/ps-s3-e19-explo-r-ation", "kernel_id": "40968237"}, {"ref": "oscarm524/ps-s3-ep19-eda-modeling-submission", "kernel_id": "40911922"}, {"ref": "natsu18/pgs-s3-e19-practicever", "kernel_id": "40978676"}, {"ref": "kimtaehun/sales-forecasting-with-lgmb-model", "kernel_id": "40905139"}, {"ref": "joebeachcapital/psse19-eda-feature-engineering", "kernel_id": "40904638"}, {"ref": "tanisha1416/eda-data-prep-beginners", "kernel_id": "40929612"}, {"ref": "vinitkp/r-forecasting-eda-regression", "kernel_id": "40927437"}, {"ref": "chiranjeevisrinivas/playground-series-s3e19", "kernel_id": "40930300"}, {"ref": "lucasboesen/baseline-nhits-model", "kernel_id": "40941746"}, {"ref": "harshavardhanbabu/baseline-using-facebook-prophet-lb-47-262", "kernel_id": "40956278"}, {"ref": "stpeteishii/pss3-ep19-eda", "kernel_id": "40932915"}, {"ref": "stpeteishii/pss3-ep19-lgbm-with-optuna", "kernel_id": "40931176"}, {"ref": "pranaii/e19-customized-css-theme-training-eda-july-19", "kernel_id": "40912773"}, {"ref": "mpwolke/not-using-llms-on-kagglazon-store", "kernel_id": "40927188"}, {"ref": "averma111/pytorch-pss3e19", "kernel_id": "40968207"}, {"ref": "oskarseweryn/s3e19-time-series-forecasting-eda", "kernel_id": "40912030"}, {"ref": "oskarseweryn/s3e19-time-series-model", "kernel_id": "40925941"}, {"ref": "amarloni/pgs3e19-eda-submission", "kernel_id": "40925257"}, {"ref": "akioonodera/ps-3-19-lgbm-reg", "kernel_id": "40904694"}, {"ref": "kdmitrie/pgs319-good-initial-questions-and-answers", "kernel_id": "40904021"}, {"ref": "nivedithavudayagiri/mini-course-boosting-baselines", "kernel_id": "40979968"}, {"ref": "nivedithavudayagiri/mini-course-sales-full-eda-submission", "kernel_id": "40912998"}, {"ref": "ahmetyldrr/mini-course-sales-lightgbm-predict", "kernel_id": "40935381"}, {"ref": "lonewalker29/eda-seasonal-plots", "kernel_id": "40934336"}, {"ref": "robertmumford/notebookf2a2b6da0f", "kernel_id": "40937860"}, {"ref": "suranjandas1990/ps3e19-eda-make-sense-of-data", "kernel_id": "40983946"}, {"ref": "satishpb/mini-course-sales-forecasting", "kernel_id": "40997672"}, {"ref": "thomasmeiner/s3e19-time-series-autoarima-for-each-group", "kernel_id": "40938346"}, {"ref": "thomasmeiner/s3e19-time-series-montecarlo-based-predictions", "kernel_id": "40929363"}, {"ref": "thomasmeiner/s3e19-time-series-vowpal-wabbbit", "kernel_id": "40930284"}, {"ref": "thomasmeiner/s3e19-time-series-linear-regression", "kernel_id": "40930642"}, {"ref": "thomasmeiner/s3e19-time-series-catboost", "kernel_id": "40931164"}, {"ref": "thomasmeiner/s3e19-time-series-holt-winters", "kernel_id": "40984999"}, {"ref": "thomasmeiner/s3e19-time-series-holt-winters-improved", "kernel_id": "40999726"}, {"ref": "nikhil1e9/ps-s3e19-eda-ensemble-postprocessing", "kernel_id": "40964313"}, {"ref": "lovinggirls/create-folds-for-forecasting-mini-sales", "kernel_id": "40935192"}, {"ref": "saugatkafley/pss3e19-forcasting-catboost-timeseriessplit", "kernel_id": "40980722"}, {"ref": "collinsakal/recursive-sales-forecasting", "kernel_id": "40984879"}, {"ref": "thomasmann111111/s3-19-exploration-lgmb-forecasting", "kernel_id": "40934580"}, {"ref": "bennyfung/sales-forecast-by-facebook-prophet", "kernel_id": "40938892"}, {"ref": "hariprasath1436/time-series-forecasting-with-catboost", "kernel_id": "40932721"}, {"ref": "farelarden/forecasting-mini-course-sales", "kernel_id": "40932050"}, {"ref": "jimgruman/mini-course-sales", "kernel_id": "40976575"}, {"ref": "akiyukikouyama/ps3e19-eda-for-train-dataset", "kernel_id": "40924954"}, {"ref": "akiyukikouyama/ps3e19-build-simple-baseline-scikit-learn", "kernel_id": "40928724"}, {"ref": "akiyukikouyama/ps3e19-deeper-eda-for-time-series", "kernel_id": "40933391"}, {"ref": "akiyukikouyama/ps3e19-auto-regression-submit", "kernel_id": "40982257"}, {"ref": "akiyukikouyama/ps3e19-original-score-function-xgboost", "kernel_id": "40984528"}, {"ref": "tetsutani/ps3e19-eda-ensemble-ml-pipeline-rnn-by-skorch", "kernel_id": "40929400"}, {"ref": "piyushjoshi01/s3e19-mini-course-sales", "kernel_id": "40941695"}, {"ref": "satyaprakashshukl/neural-network-forecasting-lstm", "kernel_id": "40926398"}, {"ref": "satyaprakashshukl/simple-eda-forecasting-s-19", "kernel_id": "40922245"}, {"ref": "markusdarkus/catboost-mape-scorer-38-9", "kernel_id": "40983358"}, {"ref": "markusdarkus/knn-is-not-so-bad", "kernel_id": "40984116"}, {"ref": "markusdarkus/eda-analysis", "kernel_id": "40928129"}, {"ref": "markusdarkus/very-easy-models", "kernel_id": "40929034"}, {"ref": "ravi20076/playgrounds3e19-eda-baseline", "kernel_id": "40927808"}, {"ref": "sujaykapadnis/75-models-approach-eda-sample-submission", "kernel_id": "40935733"}, {"ref": "edwardhuangtw/p3se19-auto-ml-pycaret", "kernel_id": "40904544"}, {"ref": "edwardhuangtw/p3se19-eda", "kernel_id": "40978345"}, {"ref": "klyushnik/my-work", "kernel_id": "40943091"}, {"ref": "strategos2/s3ep19-playground-eda-and-simple-modelling", "kernel_id": "40968482"}, {"ref": "sjagkoo7/forecasting-mini-course-sales-s3e19-light-gbm", "kernel_id": "40985511"}, {"ref": "onurkoc83/timeseriessplit-lb-score-29", "kernel_id": "40991036"}, {"ref": "onurkoc83/catboost-with-trick", "kernel_id": "40968130"}, {"ref": "dhruvch121/predicting-nums-sold", "kernel_id": "40994373"}, {"ref": "ayushs9020/re-creating-gaussian-naive-bayes", "kernel_id": "40925894"}, {"ref": "ayushs9020/re-inventing-encoding-techniques", "kernel_id": "40905276"}, {"ref": "ayushs9020/re-creating-linear-regression-derivation", "kernel_id": "40911879"}, {"ref": "ayushs9020/re-creating-sgd-regressor-from-scratch", "kernel_id": "40912898"}, {"ref": "ayushs9020/utc-eda-training-81-s3e19", "kernel_id": "40904102"}, {"ref": "johnycooly/sales-eda", "kernel_id": "40932841"}, {"ref": "suvammistry/ps-s3e19", "kernel_id": "40944550"}, {"ref": "iqbalsyahakbar/ps3e19-time-series-for-beginners", "kernel_id": "40911653"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "manishkumar7432698/ps3e19-feel-the-data-with-plotly-optuna", "kernel_id": "40924707"}, {"ref": "francescoliveras/ps-s3-e19-eda-model-en-es", "kernel_id": "40927335"}, {"ref": "uumutsezerr/s3e19-eda-and-feature-engineering", "kernel_id": "40935287"}, {"ref": "ashx010/ps3e19-eda-model-optuna-lgbm", "kernel_id": "40981827"}, {"ref": "tumpanjawat/s3e19-course-eda-fe-lightgbm", "kernel_id": "40981815"}, {"ref": "defdet/sales-prediction-with-nn", "kernel_id": "40955039"}, {"ref": "anjannekkalapu/notebookdc78fa87ca", "kernel_id": "40995660"}, {"ref": "dishaasinghi/ensembling-visualization-ps3e19", "kernel_id": "40933551"}, {"ref": "utkarshx27/forecasting-mini-course-sales", "kernel_id": "40927301"}, {"ref": "cozyhn/s3e19-autogluon-timeseries-baseline", "kernel_id": "40933350"}, {"ref": "stepantikhonov/catboost-mini-course-sales", "kernel_id": "40935740"}, {"ref": "punyamodi/mini-course-sales", "kernel_id": "40973317"}, {"ref": "bretmathyer/s3e19-interactive-visual-with-export", "kernel_id": "40928350"}, {"ref": "zhongchen121/deep-learning-model", "kernel_id": "40996164"}, {"ref": "lwissitoon/playground-series-s3e19-neural-regression", "kernel_id": "40913114"}, {"ref": "christph/gam-with-holidays", "kernel_id": "41384686"}, {"ref": "christph/ets-one-line-submission", "kernel_id": "41158856"}, {"ref": "christph/r-tidymodels-xgb", "kernel_id": "41096985"}, {"ref": "paddykb/ps-s3e19-relevel-oscar-s-notebook", "kernel_id": "41357829"}, {"ref": "cv13j0/forecasting-mini-course-sales-quick-model", "kernel_id": "41607756"}, {"ref": "natasha23/forecasting-sales-data-python", "kernel_id": "41429773"}, {"ref": "ksevta/s3e19-catboost-xgb-6-8", "kernel_id": "41072194"}, {"ref": "davidhguerrero/one-tribute-to-eda-which-makes-sense", "kernel_id": "41058633"}, {"ref": "pratul007/forecasting-mini-course", "kernel_id": "41988426"}, {"ref": "abhilash21/forecasting-mini-course-sales-using-deepar", "kernel_id": "41136622"}, {"ref": "jinkoike/notebookf52489f9bf", "kernel_id": "41532710"}, {"ref": "greenwizard/sum-of-sinusoidal-waves", "kernel_id": "41080186"}, {"ref": "chiranjeevisrinivas/pg-series-s3e19-h20-aml", "kernel_id": "41035665"}, {"ref": "lucasboesen/ensemble-cv-11-vs-lb-8-econ-data-google-trend", "kernel_id": "41082465"}, {"ref": "harsh2040/introductory-notebook-for-prediction", "kernel_id": "41297636"}, {"ref": "goolmonika/forecasting-using-etna-library-60-lines-catboost", "kernel_id": "41193004"}, {"ref": "geraldnyeo/ps3e19", "kernel_id": "41267298"}, {"ref": "katechubarova/forecasting-mini-course-sales-preparing-data-lr", "kernel_id": "41103603"}, {"ref": "stpeteishii/pss3-ep19-kde-hue", "kernel_id": "41354645"}, {"ref": "stpeteishii/pss3-ep19-multi-prophet", "kernel_id": "41261543"}, {"ref": "nisarbalti/forecast-mini-sales", "kernel_id": "41401409"}, {"ref": "anzarwani2/eda-pycaret-with-xgboost", "kernel_id": "41067627"}, {"ref": "syerramilli/ps3e19-lightgbm-forecasting-with-time-features", "kernel_id": "41361141"}, {"ref": "kumarsakshat22/beginner-episode19", "kernel_id": "41089535"}, {"ref": "priv375/eda-tps-s3e19", "kernel_id": "41025393"}, {"ref": "hasanbasriakcay/forecasting-mini-course-sales-eda", "kernel_id": "41088150"}, {"ref": "averma111/ts-split-stacking", "kernel_id": "41113214"}, {"ref": "manish123kaggle/forecast-mini-sales-with-rf-and-neural-network", "kernel_id": "41241617"}, {"ref": "kavisekar/llm-emporium-the-data-discovery-haven", "kernel_id": "41170469"}, {"ref": "harshag811/understanding-data-and-eda-mini-course-sales", "kernel_id": "41501220"}, {"ref": "harshag811/trying-multiple-bagging-and-boosting-models", "kernel_id": "41333252"}, {"ref": "kkhandekar/course-sales-regression-stacking-regressor", "kernel_id": "41016789"}, {"ref": "oskarseweryn/using-bigquery-ml-for-this-competition", "kernel_id": "41046732"}, {"ref": "mexwell/ps3e19-eda-prophet-forecasting-at-scale", "kernel_id": "41232480"}, {"ref": "radhakrishnanb/copy-of-sales-forecasting-for-self-work", "kernel_id": "41321148"}, {"ref": "radhakrishnanb/quick-and-easy-forecast", "kernel_id": "41125257"}, {"ref": "kdmitrie/pgs319-initial-questions-and-answers", "kernel_id": "41367711"}, {"ref": "kdmitrie/5th-place-solution-timeseries-decomposition", "kernel_id": "41244756"}, {"ref": "kdmitrie/ps19-choosing-multiplicators-with-public-notebooks", "kernel_id": "41171072"}, {"ref": "kdmitrie/4th-place-solution-using-pca", "kernel_id": "41768340"}, {"ref": "robertturro/forecasting-mini-course-sales-visuals", "kernel_id": "41212092"}, {"ref": "tesnimglen/ps3e19-eda-fbprophet-for-sales-forecasting", "kernel_id": "41129222"}, {"ref": "gauthamupadhyaya/mini-course-sales", "kernel_id": "41184111"}, {"ref": "shashankjat10/pl-s3-e19-data-insights-xgboost", "kernel_id": "41630165"}, {"ref": "nivedithavudayagiri/timeseriessplit-catboost", "kernel_id": "41017404"}, {"ref": "nivedithavudayagiri/trend-extraction-using-prophet", "kernel_id": "41054566"}, {"ref": "keelanoliverbutler/ml-sales-competiton", "kernel_id": "41269821"}, {"ref": "johnsmith44/eda-holidays-and-weekends", "kernel_id": "41081515"}, {"ref": "johnsmith44/ps-s3e19-gammy-sales-a-tiny-improvement-5-02606", "kernel_id": "41545055"}, {"ref": "robertgrantham/forecasting-mini-course-sales", "kernel_id": "41169832"}, {"ref": "shrishtivaish/forecasting-sales", "kernel_id": "41003982"}, {"ref": "arindambaruah/can-we-calculate-kaggle-sales-accurately", "kernel_id": "41484181"}, {"ref": "aaachen/ps3e19-simple-eda-randomforest", "kernel_id": "41504997"}, {"ref": "anggidwifiani/r2-square-97-features", "kernel_id": "41492953"}, {"ref": "maximeperez/lightgbm-baseline", "kernel_id": "41065950"}, {"ref": "shivijaiswal/forecast-mini-sales", "kernel_id": "41346265"}, {"ref": "yeoyunsianggeremie/s3e19-catboost-smoothing-post-processing", "kernel_id": "41033253"}, {"ref": "yeoyunsianggeremie/s3e19-9th-place-submission", "kernel_id": "41451266"}, {"ref": "tracyporter/play-3-19-ts-lstm", "kernel_id": "41173583"}, {"ref": "tracyporter/play-3-19-ts-histgradientboost", "kernel_id": "41193292"}, {"ref": "tracyporter/play-3-19-ts-tf", "kernel_id": "41165074"}, {"ref": "reymaster/ps3-19-time-series-gdp-ensemble", "kernel_id": "41018274"}, {"ref": "marcosgalvo/sales-forecast", "kernel_id": "41509345"}, {"ref": "agnivabhattacharya/mini-sales-forecasting-multilinear-reg", "kernel_id": "41550260"}, {"ref": "thomasmeiner/s3e19-time-series-using-differentiation-only", "kernel_id": "41321221"}, {"ref": "thomasmeiner/s3e19-time-series-lstm-on-residuals", "kernel_id": "41331594"}, {"ref": "zhukovoleksiy/ps-s3e19-eda-simple-solution", "kernel_id": "41050722"}, {"ref": "deepaktripathiuk/tiemseries-forecasting-with-lags-and-catboost", "kernel_id": "41050444"}, {"ref": "chingiznurzhanov/timeseriessplit-catboost-trick", "kernel_id": "41077576"}, {"ref": "chingiznurzhanov/ps3e19-ensemble", "kernel_id": "41340731"}, {"ref": "chingiznurzhanov/timeseriessplit-catboost-trick-using-pycaret", "kernel_id": "41367128"}, {"ref": "ikonuhov/score-6-6-rus-xgb-catboost-forecastings-sale", "kernel_id": "41198208"}, {"ref": "mdmillenniumrahman/kaggle-first-compt", "kernel_id": "41060988"}, {"ref": "loki4514/times-series", "kernel_id": "41230398"}, {"ref": "pohzixiang/minicost-sales-forecasting-zx", "kernel_id": "41179835"}, {"ref": "thierryneusius/2023s3e19-timeseries-prophet", "kernel_id": "41092677"}, {"ref": "thierryneusius/2023s3e19-timeseries-prophet-using-covariate-gdp", "kernel_id": "41130885"}, {"ref": "nitinshelke123/kaggle-course-sell-forecasting", "kernel_id": "41378943"}, {"ref": "mukilankrishnakumar/crappy-finale", "kernel_id": "41395854"}, {"ref": "mukilankrishnakumar/crappy-submission-2", "kernel_id": "41072606"}, {"ref": "mukilankrishnakumar/crappy-submission-1", "kernel_id": "41030305"}, {"ref": "archietram/fastai-chapter-9-tabular", "kernel_id": "41607490"}, {"ref": "berkakyldz/forecasting-sales-visualization-and-regression", "kernel_id": "41066144"}, {"ref": "jeremyhaakenson/time-series-fe-and-neural-network", "kernel_id": "41084594"}, {"ref": "areeshaary/ps3e19-mini-course-sales-prediction", "kernel_id": "41162072"}, {"ref": "receplyasolu/forecasting-mini-course-sales-with-lightgbm", "kernel_id": "41892709"}, {"ref": "dimasat/ps3e19-xgboost-and-lstm-for-time-series", "kernel_id": "41222920"}, {"ref": "jocelyndumlao/exploring-insights-in-mini-course-sales", "kernel_id": "41150766"}, {"ref": "meeraajayakumar/forecasting-sales-r2-score-0-98", "kernel_id": "41436790"}, {"ref": "ahana09/ps-s3e19-pycaret", "kernel_id": "41361635"}, {"ref": "mohamedtahaouf/forecasting-course-sales-fold-cbr-timeseriessplit", "kernel_id": "41170545"}, {"ref": "tuhinm2002/forecasting-mini-course-sales-simple-solution", "kernel_id": "41566042"}, {"ref": "gabrielbuchhorn/convert-date-to-day-month-and-year", "kernel_id": "41102110"}, {"ref": "jiprud/simple-submission-xgboost", "kernel_id": "41416775"}, {"ref": "jiprud/simple-submission-average", "kernel_id": "41416172"}, {"ref": "act18l/stacked-model-extratrees-adaboost", "kernel_id": "41143594"}, {"ref": "act18l/lstm-lstm-autoencoders-baseline", "kernel_id": "41150805"}, {"ref": "muhammadrizqiassabil/kaggle-pleygron-lstm", "kernel_id": "41408485"}, {"ref": "satyaprakashshukl/boost-time-series-with-regression", "kernel_id": "41004651"}, {"ref": "satyaprakashshukl/simple-h20-model-analysis", "kernel_id": "41104599"}, {"ref": "swathiunnikrishnan/forecasting-mini-course-sales-using-regression", "kernel_id": "41030422"}, {"ref": "markusdarkus/voting-model-win-all", "kernel_id": "41018319"}, {"ref": "ravi20076/playgrounds3e19-catboost-iterations", "kernel_id": "41115740"}, {"ref": "urashimataro/i-tried-chatgpt-interpreter-for-eda", "kernel_id": "41054259"}, {"ref": "alpayabbaszade/time-series-catboost-forecast-stratified-cv", "kernel_id": "41352171"}, {"ref": "tigersea/eda-n-viz", "kernel_id": "41520064"}, {"ref": "edwardhuangtw/423-test", "kernel_id": "41197687"}, {"ref": "edwardhuangtw/best-score", "kernel_id": "41428241"}, {"ref": "muhriddinmalik/forecasting-mini-course-sales-notebook", "kernel_id": "41179800"}, {"ref": "demko1/70-solution-forecasting-sales-of-kaggle-products", "kernel_id": "41034886"}, {"ref": "hudasaleh1/forecasting-sales-of-courses", "kernel_id": "41131562"}, {"ref": "onurkoc83/timeseriessplit-catboost", "kernel_id": "41012886"}, {"ref": "abhishek123maurya/fourier-features-and-time-series", "kernel_id": "41068097"}, {"ref": "shivanimalhotra91/dart-covid-data-smoothing", "kernel_id": "41026441"}, {"ref": "aaditshukla/begginers-playground-series-ps3e19", "kernel_id": "41063731"}, {"ref": "muhannadmansour/sales-forecasting-catboost", "kernel_id": "41119877"}, {"ref": "pelinkeskin/prophet-catboost-ensemble", "kernel_id": "41741492"}, {"ref": "priyamsaha17/sales-forecast-using-autogluon-exp-1", "kernel_id": "41561590"}, {"ref": "priyamsaha17/sales-forecast-using-autogluon-exp-2", "kernel_id": "41641083"}, {"ref": "priyamsaha17/sales-forecast-using-autogluon-exp-3", "kernel_id": "41641440"}, {"ref": "deepanadak/who-s-sold-more", "kernel_id": "41244991"}, {"ref": "leotom/playground-s3-e19", "kernel_id": "41093410"}, {"ref": "akulez/store-sales-prediction", "kernel_id": "41894829"}, {"ref": "szulky/a-dnn-model-in-forecasting-mini-course-sales", "kernel_id": "41516921"}, {"ref": "realshaktigupta/forecasting-competition", "kernel_id": "41202178"}, {"ref": "renaiae/forecasting-mini-course-sales-3-19", "kernel_id": "41553125"}, {"ref": "denismunene/sales-timeseries-eda-and-forecasting", "kernel_id": "41505665"}, {"ref": "denismunene/autoviz-data-visualization", "kernel_id": "41165555"}, {"ref": "denismunene/ps-s3-ep19-eda-modeling-submission", "kernel_id": "41566668"}, {"ref": "samvelkoch/almost-free-lunch-20-86", "kernel_id": "41003776"}, {"ref": "abhashrai/sales-forecasting-playground-s3e19", "kernel_id": "41409755"}, {"ref": "kukazucker/fmcs-notebook", "kernel_id": "41393885"}, {"ref": "likithsh/ps-s3e19-using-time-series-cv", "kernel_id": "41117002"}, {"ref": "vladislavonufrienko/pss3e9-eda-gbr", "kernel_id": "41255676"}, {"ref": "vladislavonufrienko/pss3e19-eda-xgbregressor", "kernel_id": "41184545"}, {"ref": "shinhaijin/sales-forecasting", "kernel_id": "41059903"}, {"ref": "mirkosnguyn/store-sales-forecast-catboost", "kernel_id": "41147203"}, {"ref": "mirkosnguyn/store-sales-forecast-nn", "kernel_id": "41146655"}, {"ref": "mirkosnguyn/store-sales-forecast-lgbm", "kernel_id": "41145732"}, {"ref": "anshtanwar/s3e19-new-features-eda", "kernel_id": "41008799"}, {"ref": "keerthi4701/mini-course", "kernel_id": "41157469"}, {"ref": "juanmerinobermejo/ps3e19-linearregression-catboost-trick-12-78434", "kernel_id": "41306746"}, {"ref": "juanmerinobermejo/ps3e19-xgbregressor-solution", "kernel_id": "41597434"}, {"ref": "kiradit/eda-and-simple-modeling", "kernel_id": "41082017"}, {"ref": "tanmay9516/forecasting-mini-course-sales-38-081", "kernel_id": "41324392"}, {"ref": "omkarkhade7/forecasting-minicourse-sales-with-different-algos", "kernel_id": "41077119"}, {"ref": "aneekeshkumar/s03e19-xgb-no-covidyear-holidays", "kernel_id": "41449247"}, {"ref": "aneekeshkumar/s03e19-xgb-without-2020data-covidyear", "kernel_id": "41448151"}, {"ref": "fadhilumar/baseline-forecasting-method", "kernel_id": "41350326"}, {"ref": "aletbm/forecasting-sales-lstm-multi-output-model", "kernel_id": "41213871"}, {"ref": "datawithshaurya/prophet-time-series-forecasting-process", "kernel_id": "41306136"}, {"ref": "violetmakena/sales-forcasting", "kernel_id": "41427904"}, {"ref": "awesomeharris/ps3e19-eda-baseline-models", "kernel_id": "41152858"}, {"ref": "udaykirankavaturu/playground-series-season-3-episode-19", "kernel_id": "41061016"}, {"ref": "sanjanasatish68l/ps3e19-forcasting-sales-with-many-models", "kernel_id": "41050599"}, {"ref": "ashishjagdishsharma/forecasting-mini-course-sales", "kernel_id": "41055533"}, {"ref": "kagankoral/ps-s03e19-eda-modelling", "kernel_id": "41459541"}, {"ref": "marzenaczernous/forecasting-mini-course-sales", "kernel_id": "41462401"}, {"ref": "kriangkraitan/automl-time-series-forcasting-num-sold", "kernel_id": "41003891"}, {"ref": "yunsuxiaozi/ps3e19study-note", "kernel_id": "41097478"}, {"ref": "debamritapaul/artificial-neural-network-regressor", "kernel_id": "41336572"}, {"ref": "neupane9sujal/forecasting-mini-course-sales", "kernel_id": "41270899"}, {"ref": "kacperrabczewski/last-minute-forecasting", "kernel_id": "41498184"}, {"ref": "cg24hr/forecast-mini-course-sales", "kernel_id": "41041601"}, {"ref": "abdullah7aled/sales-forecasting", "kernel_id": "41490445"}, {"ref": "mateuszk013/playground-series-s3e19-forecasting-sales", "kernel_id": "41440036"}, {"ref": "lastdance9/using-75-prophets-rank-119", "kernel_id": "41104683"}, {"ref": "vivinkurama/quick-prediction-random-forest", "kernel_id": "41166251"}, {"ref": "lorresprz/forecasting-sales-with-prophet", "kernel_id": "41610920"}, {"ref": "harshpriye/mini-course-sales-forecast", "kernel_id": "41374247"}, {"ref": "sebastiantarebustos/forecastingminicoursesells", "kernel_id": "41407606"}, {"ref": "agnijbiswas/playgrounds3e19-using-random-forest", "kernel_id": "41096701"}, {"ref": "jankratschmann/sales-forecasting", "kernel_id": "41368405"}, {"ref": "juhibhojani/forecasting-mini-sales-for-beginners", "kernel_id": "41488028"}, {"ref": "kirtanmatalia26/forecasting-mini-course-sales", "kernel_id": "41076094"}, {"ref": "zmusaddique/used-hybrid-model-fourier-series", "kernel_id": "41591903"}, {"ref": "nguynbhonganh/notebook6bf1d25d5d", "kernel_id": "41331635"}, {"ref": "atuljo/basic-start-model", "kernel_id": "41014204"}, {"ref": "atuljo/gradient-boosting", "kernel_id": "41288507"}, {"ref": "satyakiranv/mini-final", "kernel_id": "41625874"}, {"ref": "abhikalpsrivastava15/simple-kaggle-forecasting-mini-course-sales", "kernel_id": "41103750"}, {"ref": "shivanaysan/forecasting-mini-course-sales-stacking-pipeline", "kernel_id": "41621536"}, {"ref": "manuiaccarino/forecasting-sales", "kernel_id": "41396663"}, {"ref": "manavgupta92/must-have-automated-ensembling-model", "kernel_id": "41030846"}, {"ref": "manavgupta92/supercharged-pycaret-ml-on-steroids", "kernel_id": "41165586"}, {"ref": "kishore3914/sales-forecasting", "kernel_id": "41070009"}, {"ref": "stepantikhonov/sales-with-trick", "kernel_id": "41507681"}, {"ref": "saikatpanda/notebook9786d0e0ad", "kernel_id": "41353794"}, {"ref": "yashkalkani/forcasting-mini-courses-sales", "kernel_id": "41332913"}, {"ref": "weichens/ps3e19-study-time-series-xgb-cat-lgb", "kernel_id": "41354440"}, {"ref": "valentinbelyaev/forecasting-mini-course-sales-machine-learning-3", "kernel_id": "41385411"}, {"ref": "salazhiev/lucky-logic-and-cheater-36-5", "kernel_id": "41051238"}, {"ref": "salazhiev/hard-analysis-different-models-stepbystep-6-78", "kernel_id": "41606378"}, {"ref": "sviatoslavmatviiuk/notebook5fc2dc4655", "kernel_id": "41324360"}, {"ref": "kkamal2003/forecasting-mini-course-sales", "kernel_id": "41156801"}, {"ref": "yazeedalsahouri03/forecasting-mini-course-sales", "kernel_id": "41108426"}, {"ref": "adelinmil/attempt", "kernel_id": "41765538"}, {"ref": "sachinpatil1280/sales-forcasting", "kernel_id": "41363455"}, {"ref": "tigerh/playground-sales-forecast", "kernel_id": "41310673"}, {"ref": "lehsiuchen/423-test-hw", "kernel_id": "41302137"}, {"ref": "hacyxo/project", "kernel_id": "41023300"}, {"ref": "danieleduardocantu/forecasting-mini-course-sales", "kernel_id": "41481219"}, {"ref": "ashutoshdevpura/sales-prediction-analysis", "kernel_id": "41633143"}, {"ref": "acdundore/s3-e19-eda-feat-eng-recursive-xgb", "kernel_id": "42255642"}, {"ref": "meeratif/forecasting-gradientboosting-and-analysis", "kernel_id": "42777677"}, {"ref": "martinahill/sales-c-and-p", "kernel_id": "42330393"}, {"ref": "orianachavez/forecasting-mini-course-sales", "kernel_id": "42965804"}, {"ref": "nurlykhanakh/notebook8226a5fb54", "kernel_id": "42808921"}, {"ref": "dannyquirouette/using-prophet-on-multiple-time-series", "kernel_id": "43061348"}, {"ref": "smirithi/sales-forecast", "kernel_id": "43089765"}, {"ref": "rolanderdei/playground-series-season-3-episode-19-eda", "kernel_id": "43677959"}, {"ref": "eslamfouad/forecasting-mini-course-sales-modeling", "kernel_id": "44137023"}, {"ref": "eslamfouad/mathematical-statistics-forecasting-model", "kernel_id": "44095003"}, {"ref": "mohamedmaboshady/timeseries-r-searchcv", "kernel_id": "44775404"}, {"ref": "mohamedmaboshady/random-forest", "kernel_id": "44987990"}, {"ref": "saurabhru/forecasting-mini-course-sales", "kernel_id": "44055481"}, {"ref": "saadrasheed20/n-beats-for-time-series-forecasting", "kernel_id": "45845586"}, {"ref": "mohamedmaboshady/xgbrandomizedsearchcv", "kernel_id": "45115497"}, {"ref": "skuldropr/forecasting-mini-course-sales", "kernel_id": "45326596"}, {"ref": "yousiffaruk/practicing-time-series-analysis", "kernel_id": "46078820"}, {"ref": "saadrasheed20/all-timeseries-models-in-one-notebook", "kernel_id": "47291276"}, {"ref": "omega11/forecasting-sales", "kernel_id": "47000813"}, {"ref": "sasakitetsuya/study-on-smape", "kernel_id": "50182271"}, {"ref": "iosaman/forecasting-aman", "kernel_id": "50788388"}, {"ref": "aparnasingh02/notebookdef1ffa1d5", "kernel_id": "50454261"}, {"ref": "goyalharshit03/mini-course-sales", "kernel_id": "50147434"}, {"ref": "abhinavvvvvvvvvv/mini-courses", "kernel_id": "50203599"}, {"ref": "shreypachauri123/notebooka1313e28e6", "kernel_id": "50475226"}, {"ref": "nitleenk/minicourse-sales", "kernel_id": "50500310"}, {"ref": "himanshu230/notebook6ab6354e98", "kernel_id": "50425835"}, {"ref": "stutimittal11/kaggle4", "kernel_id": "50116501"}, {"ref": "stutimittal11/kaggle5", "kernel_id": "50116567"}, {"ref": "sehajbirsinghbains/notebook8fac5f0a16", "kernel_id": "50471248"}, {"ref": "udaysharma007/mini-course-sales", "kernel_id": "50089604"}, {"ref": "jayantdon/forecasting-mini-course-sales", "kernel_id": "50788150"}, {"ref": "sakshamsikri8/notebooka42676d895", "kernel_id": "50783319"}, {"ref": "bhavyabhalla2701/forecasting-mini-course-sales-bhavya", "kernel_id": "50811253"}, {"ref": "grandmastershaurya/notebook39c0ebf409", "kernel_id": "50143500"}, {"ref": "rahulgurwannn/notebook4d864609f4", "kernel_id": "50772790"}, {"ref": "quhanxi/forecasting-mini-course-sales", "kernel_id": "51052069"}, {"ref": "akashdeepkataria/forecasting-mini-course-sales", "kernel_id": "51161186"}, {"ref": "ramjaslangdi/forecasting-mini-course-sales-updated", "kernel_id": "51499897"}, {"ref": "vanshikam28/mini-course-sales", "kernel_id": "51106932"}, {"ref": "prabhdeep123/mini-course-sales", "kernel_id": "51627268"}, {"ref": "ujjvalvashisht/forecasting-mini-course-sales", "kernel_id": "51077063"}, {"ref": "aradhakkandhari/forecasting-mini-course-sales", "kernel_id": "51533850"}, {"ref": "rijuljain2003/mini-coursesale-rijul", "kernel_id": "51124515"}, {"ref": "harshitstark/forecasting-mini-course-sales", "kernel_id": "51082464"}, {"ref": "saranshthegoat/smj-s-forecasting-mini-course-sales", "kernel_id": "51072016"}, {"ref": "uta77400/time-series-forecasting-for-kaggle-mini-courses", "kernel_id": "52917124"}, {"ref": "parulkumartiet/fmcbypk", "kernel_id": "52172571"}, {"ref": "hardikgarg03/forecasting-mini-course-sales", "kernel_id": "53337907"}, {"ref": "noahclark01/hands-on-midterm", "kernel_id": "53351602"}, {"ref": "santoshbikkina/midterm-csc402", "kernel_id": "53351598"}, {"ref": "krishnavamsi09096/forcasting-mini-course-sales-krishna", "kernel_id": "53351582"}, {"ref": "uta77400/time-series-analysis-of-kaggle-mini-course-sales", "kernel_id": "53449185"}, {"ref": "hunterfasnacht/midterm-submission", "kernel_id": "53351794"}, {"ref": "megdalia/advancedai-midterm", "kernel_id": "53351642"}, {"ref": "harleenkaurdeora/forecasting-mini-course", "kernel_id": "55223264"}, {"ref": "santoshbikkina/forecasting-mini-course-sales-288c5b", "kernel_id": "55712843"}, {"ref": "sakshigoyal001/mini-coursesales", "kernel_id": "55120310"}, {"ref": "chirag2306/forecasting-mini-course-sales", "kernel_id": "55090646"}, {"ref": "thiagomantuani/ps3e19-time-series-get-started", "kernel_id": "57881429"}, {"ref": "ishanmathurkaggle28/mini-course-sale-best-approach", "kernel_id": "58044216"}, {"ref": "gagandeep44489/ps3e19-time-series-get-started", "kernel_id": "60401622"}, {"ref": "ssyyhh/eda-prediction-of-sales", "kernel_id": "67361694"}, {"ref": "ksmooi/mini-course-sales-regression-with-grid-search", "kernel_id": "71946072"}, {"ref": "jinhalee5283/forecasting-mini-course-sales-jj", "kernel_id": "73792767"}, {"ref": "shrikrishnaparab/sales-forecasting-using-lstm", "kernel_id": "77871901"}, {"ref": "sabahsayed/sales-forecasting-lab3", "kernel_id": "78864602"}, {"ref": "vinayaknishadbinu/forecasting-mini-course-sales-done", "kernel_id": "79605722"}, {"ref": "omkarmhamal/omkar-salespriceforecasting", "kernel_id": "79872905"}, {"ref": "sidhanathverekar/sales-forecasting-using-lstm", "kernel_id": "80558056"}, {"ref": "sidram24/notebook81793d04a4", "kernel_id": "80566350"}, {"ref": "swanitrivankar/sales-forecasting-using-lstm", "kernel_id": "80523762"}, {"ref": "ashraynaik21/2409-sales-forecasting-using-lstm", "kernel_id": "80571242"}, {"ref": "shreyapagui8/sales-forecasting-using-lstm", "kernel_id": "80574152"}, {"ref": "ahmadzayed2211/session-15-nlp-recurrent-models", "kernel_id": "91979201"}, {"ref": "stpeteishii/multi-target-sales-forecasting-rf", "kernel_id": "93097111"}, {"ref": "ghimirerajan/3-ghimirer-create-time-series", "kernel_id": "95798947"}, {"ref": "stpeteishii/multi-target-sales-forecasting-lgbm", "kernel_id": "100250412"}, {"ref": "stpeteishii/multi-target-sales-forecasting-dt", "kernel_id": "100256944"}, {"ref": "kantonistova/forecasting-using-etna-library-60-lines-catboost", "kernel_id": "111735006"}, {"ref": "omeraydin1/m2-regression", "kernel_id": "115335669"}, {"ref": "tedrosh/notebook49499ae5f4-habtet", "kernel_id": "120879622"}, {"ref": "zqx960151285/forecasting-mini-course-sales", "kernel_id": "130165228"}]}
{"competition_id": "57095", "kernels": [{"ref": "alvinleenh/6-basic-feature-selection-techniques", "kernel_id": "29878923"}, {"ref": "kdmitrie/pgs320-the-shortest-solution-2", "kernel_id": "38013402"}, {"ref": "vijayjoshi17/seaborn-guide-all-important-plots", "kernel_id": "39820740"}, {"ref": "mattop/analysis-of-every-playground-series-episode", "kernel_id": "40826851"}, {"ref": "inversion/getting-started-modeling", "kernel_id": "41641219"}, {"ref": "inversion/getting-started-eda", "kernel_id": "41641226"}, {"ref": "christph/h2o-automl", "kernel_id": "41763322"}, {"ref": "kim145/first-cut-xgboost", "kernel_id": "41694223"}, {"ref": "krulll/predict-co2-randomforest-lgbm-xgboost", "kernel_id": "41910218"}, {"ref": "stevesimons/query-your-pandas-dataframes-with-fuguesql", "kernel_id": "41897666"}, {"ref": "seriousran/predict-co2-emissions-in-rwanda", "kernel_id": "41963715"}, {"ref": "rishabh15virgo/s3e20-eda-findings-baseline-exponential-smoothing", "kernel_id": "41864000"}, {"ref": "rishabh15virgo/s3e20-eda-findings-neuralprophet", "kernel_id": "41937985"}, {"ref": "rishabh15virgo/s3e20-eda-findings-baseline-prophet", "kernel_id": "41934816"}, {"ref": "rishabh15virgo/s3e20-eda-prophet-with-covariates", "kernel_id": "41974088"}, {"ref": "ashishtop/eda-geo-features-others", "kernel_id": "41693368"}, {"ref": "docxian/ps-s3-e20-co2-emissions-deep-dive", "kernel_id": "41674468"}, {"ref": "pratul007/sentinel5p-emissions-modeling-with-gpu", "kernel_id": "41994000"}, {"ref": "amaliavr/s3e20-first-steps-explore-submit", "kernel_id": "41671492"}, {"ref": "oscarm524/ps-s3-ep20-eda-modeling-submission", "kernel_id": "41668507"}, {"ref": "samu2505/carbon-eda-fe-cv", "kernel_id": "41965839"}, {"ref": "apovidlo/ts-forecasting-with-fedot-automl", "kernel_id": "41965532"}, {"ref": "chiranjeevisrinivas/playground-series-s3e20-automl", "kernel_id": "41648117"}, {"ref": "chiranjeevisrinivas/pgs-s3e20-automl", "kernel_id": "41657077"}, {"ref": "lucasboesen/simple-catboost-6-features-cv-21-7", "kernel_id": "41673268"}, {"ref": "harshavardhanbabu/catboost-model-beating-baseline", "kernel_id": "41648482"}, {"ref": "hidetaketakahashi/geospatial-analysis-of-gas-emission-in-rwanda", "kernel_id": "41726695"}, {"ref": "kidkrinkles/s3e20-random-forest-c02-emissions-submission", "kernel_id": "41867160"}, {"ref": "franksunp/ps3e20-carbon-emission-analysis", "kernel_id": "41961227"}, {"ref": "geraldnyeo/ps3e20-eda-fe-baseline", "kernel_id": "41645131"}, {"ref": "stpeteishii/pss3-ep20-emission-change", "kernel_id": "41682762"}, {"ref": "stpeteishii/pss3-ep20-lgbm", "kernel_id": "41849313"}, {"ref": "stpeteishii/pss3-ep20-individual-value-changes-over-time", "kernel_id": "41801345"}, {"ref": "patrick0302/find-and-fix-the-error-bug", "kernel_id": "41826193"}, {"ref": "patrick0302/errors-and-where-to-find-them", "kernel_id": "41818444"}, {"ref": "patrick0302/clustering-might-help", "kernel_id": "41817200"}, {"ref": "patrick0302/let-s-make-big-ones-bigger", "kernel_id": "41887102"}, {"ref": "patrick0302/align-2019-2020-emission-values-with-2021", "kernel_id": "41916258"}, {"ref": "mmellinger66/ps3e20-co2-emissions", "kernel_id": "41861294"}, {"ref": "pranaii/e20-customised-css-eda-august-2", "kernel_id": "41667222"}, {"ref": "anzarwani2/beginner-notebook-playground-series-s3-ep20", "kernel_id": "41683746"}, {"ref": "mpwolke/breathe-deep-rwanda", "kernel_id": "41643917"}, {"ref": "syerramilli/ps3e20-lightgbm-location-time-features", "kernel_id": "41782116"}, {"ref": "syerramilli/ps3e20-eda-impute-fe-baseline", "kernel_id": "41737599"}, {"ref": "syerramilli/ps3e20-flaml-automl", "kernel_id": "41836641"}, {"ref": "syerramilli/ps3e20-dimension-reduction-approach", "kernel_id": "41857762"}, {"ref": "deshram/baseline-submission-time-series-carbon-emission", "kernel_id": "41703461"}, {"ref": "wasuratme96/co2-prediction", "kernel_id": "41801798"}, {"ref": "averma111/pytorch-tabular-pss3e20", "kernel_id": "41716089"}, {"ref": "averma111/emission-rmse-randomforest", "kernel_id": "41782045"}, {"ref": "averma111/pytorch-ps3e20", "kernel_id": "41648858"}, {"ref": "sho124/predict-co2-emissions-with-lightgbm", "kernel_id": "41877175"}, {"ref": "catadanna/eda-tab-s3-e20", "kernel_id": "41655727"}, {"ref": "catadanna/tab-s3-e20", "kernel_id": "41646603"}, {"ref": "riyajm/eda-rawanda-emission-visualization", "kernel_id": "41828691"}, {"ref": "wamukoya/co2-emissions-in-rwanda", "kernel_id": "41789699"}, {"ref": "ronfswanson/pycaretwithfewfeatures-lb33-17", "kernel_id": "41890628"}, {"ref": "kkhandekar/predict-co2-emissions-lightgbm-optuna", "kernel_id": "41949524"}, {"ref": "mexwell/ps3e20-eda-cluster-lightgbm", "kernel_id": "41855427"}, {"ref": "akioonodera/ps-3-20-lgbm-reg", "kernel_id": "41643414"}, {"ref": "kdmitrie/pgs320-co2-emissions-animated-map", "kernel_id": "41739734"}, {"ref": "kdmitrie/4th-place-solution-using-pca", "kernel_id": "41768340"}, {"ref": "kdmitrie/pgs320-the-shortest-solution-lb-18-04", "kernel_id": "41904820"}, {"ref": "robertturro/rf-xgboost-pipeline-with-optuna", "kernel_id": "41938172"}, {"ref": "nivedithavudayagiri/co2-emissions-eda-fe-submission-wip", "kernel_id": "41643519"}, {"ref": "roberttrypuz/predict-co2-emissions-in-rwanda", "kernel_id": "41787061"}, {"ref": "johnsmith44/ps3e20-co2-emissions-in-rwanda-compact-trick", "kernel_id": "41820195"}, {"ref": "aaachen/ps3e20-xgboost-lgbm", "kernel_id": "41820026"}, {"ref": "justinmustaine/voronoi-polygons", "kernel_id": "41714086"}, {"ref": "kieranyogaraj/tps-s3e20-important-information-5-time-series", "kernel_id": "41712824"}, {"ref": "trhgquan/ps3e20", "kernel_id": "41714657"}, {"ref": "yeoyunsianggeremie/private-lb-9-61-s3e20-kmeans-lightgbm", "kernel_id": "41696860"}, {"ref": "klaidenx/s3-e3-co2-emission", "kernel_id": "41778395"}, {"ref": "tracyporter/play-3-20-tf-rfe-outliers", "kernel_id": "41701413"}, {"ref": "tracyporter/play-3-20-tf-rfe-minmax", "kernel_id": "41723583"}, {"ref": "tracyporter/play-3-20-tf-rfe", "kernel_id": "41688514"}, {"ref": "tracyporter/play-3-20-tf", "kernel_id": "41664036"}, {"ref": "satishpb/rwanda-carbondioxide-emissions", "kernel_id": "41965336"}, {"ref": "camillechurch/simple-model-randomforest", "kernel_id": "41866187"}, {"ref": "camillechurch/timeseries-and-geographic-eda", "kernel_id": "41928634"}, {"ref": "khaledabdelgaber/co2-competition", "kernel_id": "41802931"}, {"ref": "radbear/using-tensorflow-for-playground-series-3-20", "kernel_id": "41944131"}, {"ref": "prathameshprege/ps-s3-e20-co2-emissions-rwanda-xgb-model", "kernel_id": "41843221"}, {"ref": "thomasmeiner/ps3e20-lstm-on-differentiation-residuals", "kernel_id": "41647819"}, {"ref": "thomasmeiner/ps3e20-catboost-baseline", "kernel_id": "41683922"}, {"ref": "thomasmeiner/ps3e20-vowpal-wabbit-baseline", "kernel_id": "41668736"}, {"ref": "thomasmeiner/ps3e20-ridge-baseline", "kernel_id": "41669170"}, {"ref": "nikhil1e9/s3-e20-eda-fe-modeling", "kernel_id": "41705558"}, {"ref": "anuragmuk/simple-catboost", "kernel_id": "41685506"}, {"ref": "mirabirhossain/super-easy-baseline-3-lines-only-not-recommended", "kernel_id": "41687346"}, {"ref": "mirabirhossain/first-look-map-visualize-train-valid-split-etc", "kernel_id": "41649697"}, {"ref": "lucasbruzzone/getting-more-infos-via-google-api", "kernel_id": "41974884"}, {"ref": "lucasbruzzone/playground-series-s3e20-study", "kernel_id": "41969665"}, {"ref": "mdmillenniumrahman/play-ground-series-carbon-emmision", "kernel_id": "41971733"}, {"ref": "abdelrahmanalimo/co2-in-rowanda", "kernel_id": "41981829"}, {"ref": "loki4514/pss3e20-eda", "kernel_id": "41661036"}, {"ref": "pohzixiang/predicting-co2-emissions", "kernel_id": "41839996"}, {"ref": "dmitryuarov/ps3e20-rwanda-emission-advanced-fe-20-88", "kernel_id": "41659754"}, {"ref": "mukilankrishnakumar/exploratory-data-analysis-eda", "kernel_id": "41909044"}, {"ref": "craigwickizer/ps3e20-interpolate-covid-emissions", "kernel_id": "41710450"}, {"ref": "jimgruman/co2-emissions-in-rwanda", "kernel_id": "41974972"}, {"ref": "akiyukikouyama/ps3e20-eda-and-build-baseline", "kernel_id": "41643476"}, {"ref": "alexandregault/ps-s3e20-29-18", "kernel_id": "41900991"}, {"ref": "gitashojaee/co2-emissions-in-rwanda-histgradientboosting", "kernel_id": "41817621"}, {"ref": "jocelyndumlao/predict-co2-eda-levenbergmarquardt", "kernel_id": "41837395"}, {"ref": "jocelyndumlao/co2-prediction-in-rwanda", "kernel_id": "41648980"}, {"ref": "manohar77/co2-emission-simple-approach", "kernel_id": "41704314"}, {"ref": "tetsutani/ps3e20-eda-ensemble-ml-pipeline-kmeans", "kernel_id": "41667271"}, {"ref": "shubhamgupta012/xgboostregressor", "kernel_id": "41683601"}, {"ref": "tuhinm2002/predict-co2-emissions-in-rwanda-simple-solution", "kernel_id": "41792419"}, {"ref": "ayushagarwal7871/understanding-the-competition-s3e20", "kernel_id": "41664031"}, {"ref": "ambrosm/pss3e20-eda-which-makes-sense", "kernel_id": "41643832"}, {"ref": "jiprud/simple-submission", "kernel_id": "41695088"}, {"ref": "satyaprakashshukl/exploring-feature-wip", "kernel_id": "41934395"}, {"ref": "satyaprakashshukl/h2o-prediction-emission", "kernel_id": "41840037"}, {"ref": "satyaprakashshukl/ensemble-prediction", "kernel_id": "41740326"}, {"ref": "satyaprakashshukl/boost-is-secret-of-kaggle", "kernel_id": "41698599"}, {"ref": "satyaprakashshukl/eda-emissions", "kernel_id": "41671545"}, {"ref": "satyaprakashshukl/fasteda-co2-emissions-in-rwanda", "kernel_id": "41649192"}, {"ref": "ravi20076/playgrounds3e20-eda-baseline", "kernel_id": "41660477"}, {"ref": "sujaykapadnis/interactive-eda-w-plotly", "kernel_id": "41652658"}, {"ref": "edwardhuangtw/ps-s3e20-rwanda-emission-auto-ml-33-4", "kernel_id": "41645040"}, {"ref": "edwardhuangtw/ps-s3e20-eda", "kernel_id": "41642854"}, {"ref": "joemedley/index-data-with-random-forests", "kernel_id": "41644609"}, {"ref": "klyushnik/fork-of-getting-started-vol-1", "kernel_id": "41954776"}, {"ref": "klyushnik/getting-started-vol-1", "kernel_id": "41705565"}, {"ref": "ghkhaz/pcer-or-predict-co2-emissions-in-rwanda", "kernel_id": "41722001"}, {"ref": "bassemgouty/ps3e20-ensembling-with-score-nudge", "kernel_id": "41822409"}, {"ref": "ansh0072/ps3e20-regressormodels-eda-submission", "kernel_id": "41804807"}, {"ref": "phanendrasairam/s3e20-co2-emission", "kernel_id": "41800451"}, {"ref": "alexkalita/without-ml", "kernel_id": "41920659"}, {"ref": "alexkalita/simple-xgboost-fe-optuna", "kernel_id": "41761527"}, {"ref": "suraj520/voting-ensemble-multiple-approaches", "kernel_id": "41968095"}, {"ref": "sjagkoo7/predict-co2-emissions-s3ep20", "kernel_id": "41880673"}, {"ref": "danbraswell/no-ml-public-lb-23-02231", "kernel_id": "41891591"}, {"ref": "iqmansingh/co2-emission-optuna-xgb-lgbm", "kernel_id": "41699848"}, {"ref": "matthewweisberg/co2-emissions-in-rwanda", "kernel_id": "41748572"}, {"ref": "asprant/playground-series-co2-emission-prediction-1", "kernel_id": "41680994"}, {"ref": "benigmatic/predict-co2-emissions-in-rwanda", "kernel_id": "41768840"}, {"ref": "xuebinjiang/s3e20-random-forest-model", "kernel_id": "41688596"}, {"ref": "muhannadmansour/eda-voting-randomforest-xgboost-catboost", "kernel_id": "41697140"}, {"ref": "johnycooly/co2-emission-plotly-et-shape", "kernel_id": "41941021"}, {"ref": "priyamsaha17/co2-prediction-using-autogluon-exp-2", "kernel_id": "41794398"}, {"ref": "priyamsaha17/predict-co2-emissions-in-rwanda-using-autogluon", "kernel_id": "41667548"}, {"ref": "pembekanton/rwanda-co2-random-forest-cv-eda-impute", "kernel_id": "41826960"}, {"ref": "pembekanton/impute-data-catboost-date-engineering", "kernel_id": "41790273"}, {"ref": "pembekanton/baseline", "kernel_id": "41738582"}, {"ref": "sugataraychaudhary/rwanda-co2-prediction-ann-mlp", "kernel_id": "41966953"}, {"ref": "suvammistry/ps-s03e20", "kernel_id": "41687467"}, {"ref": "szulky/a-lightgbm-model-with-score-40", "kernel_id": "41697782"}, {"ref": "szulky/a-randomforestregressor-model", "kernel_id": "41697855"}, {"ref": "szulky/a-combination-of-pca-and-lstm", "kernel_id": "41693759"}, {"ref": "akekowsik/prediction-of-co2", "kernel_id": "41953910"}, {"ref": "akekowsik/co2-prediction2", "kernel_id": "41865612"}, {"ref": "renaiae/predict-co2-emissions-in-rwanda-3-20", "kernel_id": "41874419"}, {"ref": "san2deep/beginner-code-pca", "kernel_id": "41967181"}, {"ref": "sourabhsingh03993493/co2-emission", "kernel_id": "41951180"}, {"ref": "abhashrai/predicting-co2-emissions-ps-s3e20", "kernel_id": "41760463"}, {"ref": "iqbalsyahakbar/ps3e20-time-series-for-beginners", "kernel_id": "41643996"}, {"ref": "mattop/playground-series-s3-e20-eda", "kernel_id": "41644127"}, {"ref": "kukazucker/co2-emissions-notebook", "kernel_id": "41731867"}, {"ref": "yaaangzhou/pg-s3-e20-eda-modeling", "kernel_id": "41659800"}, {"ref": "kkuri00/s3e20-simple-eda-xgboost-model", "kernel_id": "41747688"}, {"ref": "atom1991/predict-co2-emissions-in-rwanda-ps-s3e20", "kernel_id": "41955412"}, {"ref": "mahdifazl/notebook5461ad7a08", "kernel_id": "41992587"}, {"ref": "danishelahi/carbon-emission", "kernel_id": "41998419"}, {"ref": "leonliur/rwanda-co2-prediction-lb-9", "kernel_id": "41739555"}, {"ref": "javohirtoshqorgonov/predict-co2-emission-in-rwanda", "kernel_id": "41718126"}, {"ref": "vladislavonufrienko/ps3e20-eda-randomforestregressor", "kernel_id": "41654509"}, {"ref": "shinhaijin/co2-emission-prediction", "kernel_id": "41769650"}, {"ref": "cybersimar08/co2-emission-eda-random-forest", "kernel_id": "41646914"}, {"ref": "yudavid/eng-kor-from-preprocessing-to-modeling", "kernel_id": "41930431"}, {"ref": "matasferrn/rwanda-co2-emissions", "kernel_id": "41675161"}, {"ref": "richeyjay/co2-emissions-in-rwanda", "kernel_id": "41667030"}, {"ref": "francescoliveras/ps-s3-e20-eda-model-en-es", "kernel_id": "41648996"}, {"ref": "iftekharalammitu/multiple-model-explore-96-accuracy", "kernel_id": "41974666"}, {"ref": "abhinavkimothi/first-cut-xgboost", "kernel_id": "41716738"}, {"ref": "mridul2003/eda-co2-emission", "kernel_id": "41794562"}, {"ref": "warriorwizard/ps3e20-co2-emission", "kernel_id": "41752379"}, {"ref": "warriorwizard/ps3e20-rwanda-c02", "kernel_id": "41987506"}, {"ref": "pratikjodgudri/predict-co2-emissions-in-rwanda", "kernel_id": "41890088"}, {"ref": "rautaishwarya/co2-emission-prediction", "kernel_id": "41897002"}, {"ref": "leonafang/predict-co2-emissions-in-rwanda", "kernel_id": "41926408"}, {"ref": "nazimcherpanov/prediction-emissions-in-rwanda-using-lgbm", "kernel_id": "41824080"}, {"ref": "ashishjagdishsharma/predict-co2-emissions-in-rwanda", "kernel_id": "41652014"}, {"ref": "avd1729/co2-emissions-in-rwanda", "kernel_id": "41998338"}, {"ref": "kagankoral/ps-s03e20-rwanda-co2-emission-eda-model", "kernel_id": "41855328"}, {"ref": "yunsuxiaozi/pss3e20-baseline-lightgbm", "kernel_id": "41648835"}, {"ref": "yunsuxiaozi/automl-flaml", "kernel_id": "41657022"}, {"ref": "yunsuxiaozi/tricks-is-all-you-need", "kernel_id": "41893737"}, {"ref": "yunsuxiaozi/ps3e20-study-note", "kernel_id": "41928821"}, {"ref": "yunsuxiaozi/ps3e20-datahandle", "kernel_id": "41911104"}, {"ref": "shanakk/predict-co2-emissions-in-rwanda", "kernel_id": "41753816"}, {"ref": "debamritapaul/predict-co2-emissions-in-rwanda", "kernel_id": "41916228"}, {"ref": "neupane9sujal/rwanda-co2-prediction-xgb-baseline", "kernel_id": "41855762"}, {"ref": "kacperrabczewski/rwanda-co2-step-by-step-guide", "kernel_id": "41765642"}, {"ref": "dishaasinghi/playground-s3e20-co2-emission", "kernel_id": "41783981"}, {"ref": "amalsp220/emissions-prediction-with-randomforestregressor", "kernel_id": "41796913"}, {"ref": "mateuszk013/playground-series-s3e20-co2-emission-in-rwanda", "kernel_id": "41708440"}, {"ref": "utkarshx27/co2-emissions-eda-pred", "kernel_id": "41648926"}, {"ref": "sztnhopsz/co2-emmission-prediction-challenge", "kernel_id": "41661814"}, {"ref": "sainikhil26/eda-pre-processing-ensemble-hyper-tuning", "kernel_id": "41882757"}, {"ref": "sainikhil26/eda-with-ensemble-model-hypertuning", "kernel_id": "41865507"}, {"ref": "cheekati1/predict-co2-emissions-in-rwanda", "kernel_id": "41868326"}, {"ref": "cozyhn/autogluon-co2-emissions-in-rwanda-pg-series", "kernel_id": "41685735"}, {"ref": "arunklenin/ps3e20-co2-emissions-prediction-regression", "kernel_id": "41681644"}, {"ref": "sebastiantarebustos/co2emissions", "kernel_id": "41782567"}, {"ref": "lyxbash/random-forest-correlation-matrix-co2-emissions", "kernel_id": "41692869"}, {"ref": "bibhumohapatra18/rwanda-co2-predictions", "kernel_id": "41928887"}, {"ref": "mxmlnv/pca-winterhoff", "kernel_id": "41983772"}, {"ref": "vinodkumargurjar/ai-ml-predict-co2-emissions-in-rwanda", "kernel_id": "41684666"}, {"ref": "atuljo/simple-model-to-start-2", "kernel_id": "41649983"}, {"ref": "eduardomarinho44/rwanda-emissions-competition", "kernel_id": "41997581"}, {"ref": "viviansam/co2-emissions-random-forest-regressor", "kernel_id": "41714453"}, {"ref": "imonefk/s3e20-lstm-starter-notebook-for-hyperparam-tuning", "kernel_id": "41772386"}, {"ref": "fredrickkariuki/predict-co2-emission-in-rwanda", "kernel_id": "41892217"}, {"ref": "fredrickkariuki/predicting-carbon-emissions-in-rwanda", "kernel_id": "41653636"}, {"ref": "shaunakmandal/co2-emission-model", "kernel_id": "41868177"}, {"ref": "valentinbelyaev/feature-selection-rf-xgboost", "kernel_id": "41989970"}, {"ref": "salazhiev/easy-for-beginners-37-31299", "kernel_id": "41655648"}, {"ref": "arnaudpoudrai/predict-co2-emission-in-rwanda-eda", "kernel_id": "41997195"}, {"ref": "sviatoslavmatviiuk/co2-emission-in-rwanda-analysis", "kernel_id": "41671966"}, {"ref": "nesredinhaji/notebook810e968251", "kernel_id": "41987576"}, {"ref": "kamrantanwari/baseline-rf-catboost-top-30", "kernel_id": "41828872"}, {"ref": "kamrantanwari/basic-feature-engineering-and-tf-baseline", "kernel_id": "41769087"}, {"ref": "thefortunetellers/short-and-simple-co2-notebook", "kernel_id": "41853331"}, {"ref": "lehsiuchen/eda-predict-co2-modeling", "kernel_id": "41815366"}, {"ref": "danieleduardocantu/predict-co2-emissions-study", "kernel_id": "41908811"}, {"ref": "asif00/traffice-sign-detection-yolo-opencv-keras", "kernel_id": "41873488"}, {"ref": "masarusan/using-k-fold-cv", "kernel_id": "41759959"}, {"ref": "masarusan/s3e20-beginner-just-using-kaggle-learn-knowledge", "kernel_id": "41660346"}, {"ref": "mariabistro/predicting-co2-emissions-n-hits", "kernel_id": "41990468"}, {"ref": "artificialmindset/first-attempt", "kernel_id": "41936120"}, {"ref": "mauriciovellasquez/prediction-of-rwanda-s-co2-emissions", "kernel_id": "41716367"}, {"ref": "jbm1966/no-ml-from-python-to-r", "kernel_id": "42146804"}, {"ref": "zafaraniyeh/rwanda-emissions-best-output", "kernel_id": "42335737"}, {"ref": "ajatix/40th-parallel-processing-using-prophet", "kernel_id": "42356760"}, {"ref": "jankuper192/spatial-time-eda-second-draft", "kernel_id": "42028899"}, {"ref": "martincampbell/using-seasonality", "kernel_id": "42099971"}, {"ref": "cv13j0/predict-co2-emissions-in-rwanda-ideas", "kernel_id": "42234502"}, {"ref": "chris36/co2-rwanda-analysis-r", "kernel_id": "42001798"}, {"ref": "krulll/simple-basic-randomforest-co2-predictions", "kernel_id": "42278471"}, {"ref": "shivampandit/co2-prediction-best-result-18-6", "kernel_id": "42031649"}, {"ref": "docxian/ps-s3-e20-co2-emissions-use-2019", "kernel_id": "42307721"}, {"ref": "mohdph/predicting-rawanda-s-co2-emission-by-random-forest", "kernel_id": "42043988"}, {"ref": "siddharthkumarsah/s3e20-solutions", "kernel_id": "42092041"}, {"ref": "viji1609/pgs3-e20-diluted-convolution-model", "kernel_id": "42133535"}, {"ref": "samu2505/carbon-naive-ml", "kernel_id": "42342660"}, {"ref": "vinitkp/getting-started-modeling", "kernel_id": "42220727"}, {"ref": "chiranjeevisrinivas/pgseries-s3-e20-rf", "kernel_id": "42152406"}, {"ref": "chiranjeevisrinivas/pgseries-s3-e20", "kernel_id": "42005253"}, {"ref": "franksunp/score-33-15-baseline-decision-tree-grid-cv", "kernel_id": "42027810"}, {"ref": "stpeteishii/pss3-ep20-mean-value-changes-over-time", "kernel_id": "42181481"}, {"ref": "stpeteishii/pss3-ep20-kmeans-clustering", "kernel_id": "42072964"}, {"ref": "vibe95/predict-co2-in-rwanda", "kernel_id": "42234523"}, {"ref": "patrick0302/public-lb-2-solution", "kernel_id": "42333060"}, {"ref": "patrick0302/fix-more-error-bugs", "kernel_id": "42237749"}, {"ref": "dbzadnen/predict-co2-emissions-in-rwanda-multivariate-ts", "kernel_id": "42291112"}, {"ref": "averma111/pycaret-emission-ps3e20", "kernel_id": "42072508"}, {"ref": "vybhavprasad/predict-co2-emissions-in-simple-steps-beginners", "kernel_id": "42250697"}, {"ref": "acdundore/s3-e20-eda-imputation-arima", "kernel_id": "42230594"}, {"ref": "kzz1056/eda-quick-model", "kernel_id": "42207124"}, {"ref": "zahrahputri/predicting-co2-emission", "kernel_id": "42389587"}, {"ref": "rajeevbhadola/predict-co2-emissions-in-rwanda-rb", "kernel_id": "42065993"}, {"ref": "kdmitrie/blend-max-fmeb-kmeans-smoothing", "kernel_id": "42007675"}, {"ref": "tesnimglen/pse320-last-minute-predictions-for-rwanda", "kernel_id": "42166341"}, {"ref": "michaszymaski/cross-validating-time-series-data", "kernel_id": "42067105"}, {"ref": "michaszymaski/simple-eda-with-observations", "kernel_id": "42158301"}, {"ref": "michaszymaski/decisiontreeregressor", "kernel_id": "42196474"}, {"ref": "johnsmith44/fix-more-error-bugs-week-14-shift", "kernel_id": "42289760"}, {"ref": "aliabdin1/how-does-quantization-work", "kernel_id": "42692393"}, {"ref": "christophercoffee/feature-engineering-using-tabpfn", "kernel_id": "42014311"}, {"ref": "taeefnajib/eda-of-co2-emission", "kernel_id": "42142197"}, {"ref": "adhoppin/predict-co2-emissions-gradient-boosting", "kernel_id": "42207725"}, {"ref": "ryszardmoroz/notebooka1b1515354", "kernel_id": "42435748"}, {"ref": "mustafamegahed/predict-co2-emissions-in-rwanda", "kernel_id": "42119457"}, {"ref": "poushalimukherjee/co2-emissions-eda-uvaerosol-ozone-and-cloud", "kernel_id": "42031481"}, {"ref": "poushalimukherjee/co2-emissions-eda-toxic-gases", "kernel_id": "42030429"}, {"ref": "enesaltun/predict-co2-emissions-in-rwanda", "kernel_id": "42120972"}, {"ref": "muratgulcan/rawanda-co2-emissions-prediction", "kernel_id": "42058985"}, {"ref": "vasudevak/co2-emissions-using-fastai-tabular-learner", "kernel_id": "42154585"}, {"ref": "ismailhamouda/rwanda-co2-emissions", "kernel_id": "42330145"}, {"ref": "faysalmiah1721758/ps3e20-predict-co2-emissions-in-rwanda", "kernel_id": "42285954"}, {"ref": "suharshmahajan/co2-emission-prediction", "kernel_id": "42089907"}, {"ref": "suharshmahajan/predicting-co2-emission", "kernel_id": "42115133"}, {"ref": "francescocolicino/co2-rwanda", "kernel_id": "42102434"}, {"ref": "ahana09/ps-s3e20-eda-rabdomforest", "kernel_id": "42224691"}, {"ref": "hajaribrahiem/co2-emissions-lr-xgb-lgbm-catboost-rmse-23-0", "kernel_id": "42234762"}, {"ref": "thetrueobserver/c02-emissions-in-rwanda-a-brief-eda", "kernel_id": "42190684"}, {"ref": "omarkhaled002/predicting-co2-emission-eda-model", "kernel_id": "42147297"}, {"ref": "jimboye/rwanda-co2-emission", "kernel_id": "42106447"}, {"ref": "m1y7k8/ps3-s3-e20-co2-emission-rwanda", "kernel_id": "42302279"}, {"ref": "olesyakolpakova/notebook5dd44a4b21", "kernel_id": "42827439"}, {"ref": "ahmetyasinaytar/pca-baseline", "kernel_id": "42317979"}, {"ref": "ayushpratap113/co2-emmision-prediction", "kernel_id": "42198762"}, {"ref": "muhriddinmalik/easiest-solution-using-math-with-visualisation", "kernel_id": "42239717"}, {"ref": "uselessnoob/predicting-rwanda-co2-emissions", "kernel_id": "42237033"}, {"ref": "alexkalita/randomforest-fe", "kernel_id": "42197160"}, {"ref": "smrutiranjanmaharana/predict-co2-emission-in-rwanda", "kernel_id": "42927607"}, {"ref": "xokent/co2-emmision", "kernel_id": "42669932"}, {"ref": "anilreddyvv/simple-20-54111pb", "kernel_id": "42092888"}, {"ref": "alamukiiraakha/predict-co2-emissions-in-rwanda-using-svm", "kernel_id": "42695331"}, {"ref": "mohammadabdelhalim/predict-co2-emissions-in-rwanda", "kernel_id": "42125652"}, {"ref": "xuebinjiang/s3e20-random-forest-ensemble-model", "kernel_id": "42301364"}, {"ref": "jackchengjianzhu/rwanda-co2-combine-predictions-from-multiple", "kernel_id": "42089856"}, {"ref": "wentinglu/more-adjustment", "kernel_id": "42241355"}, {"ref": "bijinsanny/timeseries-model-co2-dataset", "kernel_id": "42754708"}, {"ref": "danatkarasaev/predict-co2-emissions-in-rwanda", "kernel_id": "42758750"}, {"ref": "golammostofas/predict-co2-emissions-for-beginners", "kernel_id": "42161943"}, {"ref": "johnzhuoliu/simple-steps-for-co2-emission-prediction", "kernel_id": "42106975"}, {"ref": "mohamedezzai/frist-1", "kernel_id": "42069919"}, {"ref": "ahich1/predict-rwanda-co2-emission", "kernel_id": "42086416"}, {"ref": "kotukw/co2-emissions-in-rwanda-using-xgboost", "kernel_id": "42132477"}, {"ref": "mehdicherif/predict-co2-emission-using-lgbm", "kernel_id": "42199602"}, {"ref": "shakhauat/predict-co2-emissions-in-rwanda-analysis-modeling", "kernel_id": "42021934"}, {"ref": "alirezajavid1999/predict-co2-emissions-in-rwanda-using-ml-algorithm", "kernel_id": "42260347"}, {"ref": "narendrati/narendra-emission-predict", "kernel_id": "42005065"}, {"ref": "ayanabil11/co2-prediction", "kernel_id": "42060488"}, {"ref": "ayanabil11/clustering-might-help", "kernel_id": "42061932"}, {"ref": "alvinleenh/11-98-private-s3e20-rf-ensemble", "kernel_id": "42195261"}, {"ref": "pixelshooter/predict-co2-emissions-in-rwanda", "kernel_id": "42179942"}, {"ref": "omkarkhade7/co2-emissions-in-rwanda-prediction-using-ann", "kernel_id": "42114923"}, {"ref": "ashx010/ps3e20-eda-fe-ml-model", "kernel_id": "42243127"}, {"ref": "armaanseth6702/predict-co2-emissions-in-rwanda", "kernel_id": "42129524"}, {"ref": "seojinpark2001/predict-co2-emissions-in-rwanda", "kernel_id": "42000810"}, {"ref": "seojinpark2001/predict-co2-randomforest", "kernel_id": "42286724"}, {"ref": "kuryakin/predict-co2-xgboost-for-default-dataset", "kernel_id": "42228497"}, {"ref": "yakubsadlil/7-lines-code-higher-score", "kernel_id": "42271429"}, {"ref": "hardikonds/co2-emmisions", "kernel_id": "42185463"}, {"ref": "jyotigudu/simple-notebook", "kernel_id": "42239648"}, {"ref": "sitanshuanmol/rwanda-emission-predictions-rf-xgb", "kernel_id": "42135231"}, {"ref": "aranpandey/rwanda-co2-eda-rf-preds", "kernel_id": "42204007"}, {"ref": "abhiramag/25-stations-eto-prediction", "kernel_id": "42277386"}, {"ref": "yapwh1208/playground-s3e20-xgb", "kernel_id": "42110149"}, {"ref": "yapwh1208/playground-s3e20-rf", "kernel_id": "42108625"}, {"ref": "adwitbarun2003/anu-sur-adw", "kernel_id": "42065248"}, {"ref": "nickec/rwanda-o2-emissions-eda-data-prep-ml", "kernel_id": "42284995"}, {"ref": "muthumeenakshi11/prediction-of-co2-using-xgb-regressor", "kernel_id": "42068559"}, {"ref": "somboonpradit/predict-co2-emission-beginner", "kernel_id": "42211408"}, {"ref": "sagorkumarmitra/predict-co2-emissions-in-rwanda", "kernel_id": "42141162"}, {"ref": "abdelrhmandemo/predict-co2-v1", "kernel_id": "42153921"}, {"ref": "arunklenin/ps3e20-co2-emissions-using-simple-math-lb-18-02", "kernel_id": "42175173"}, {"ref": "codekalimi/predict-co2-emissions-rwanda", "kernel_id": "42102043"}, {"ref": "juhibhojani/predict-co2-basic-analysis", "kernel_id": "42140967"}, {"ref": "viviansam/co2-emissions-knn", "kernel_id": "42033626"}, {"ref": "viviansam/co2-emissions-xg-boost", "kernel_id": "42032946"}, {"ref": "coinshot/co2-emission-model", "kernel_id": "42051635"}, {"ref": "singhayush16/predict-co2-emissions-in-rwanda", "kernel_id": "42243613"}, {"ref": "manavgupta92/s3e20-rwanda-eda-that-can-improve-your-rank", "kernel_id": "42048759"}, {"ref": "smilikasangam/co2-emission-eda", "kernel_id": "42243666"}, {"ref": "saikatpanda/predicting-co2-emission", "kernel_id": "42025555"}, {"ref": "orianachavez/predict-co2-emissions-in-rwanda", "kernel_id": "42966367"}, {"ref": "mohammadaquib02/rawanda-co2-emissions-prediction-challenge", "kernel_id": "42032065"}, {"ref": "weichens/ps3e20-eda-ensemble-23-20", "kernel_id": "42179994"}, {"ref": "nagoyab/playground-series-3-20", "kernel_id": "42593177"}, {"ref": "nullifi3d/rwanda-co2-predictions-using-xgboost", "kernel_id": "42038444"}, {"ref": "akshaytaru/eda-of-co2-emission", "kernel_id": "42842337"}, {"ref": "harshitkumarsaxena1/predction-co2-by-random-forest", "kernel_id": "42217952"}, {"ref": "adelinmil/co2-emission-ts-notebook-lb-score-29-6", "kernel_id": "42118174"}, {"ref": "priya2701/co2-emissions-prediction-in-rwanda", "kernel_id": "42243110"}, {"ref": "himanshuydv11/predict-co2-emissions-in-rwanda", "kernel_id": "42520655"}, {"ref": "ayodatascientist/emmission-in-rwanda", "kernel_id": "42312288"}, {"ref": "mariabistro/predicting-co2-emissions-in-rwanda-tft", "kernel_id": "42291436"}, {"ref": "antimoni/co2-emission-model", "kernel_id": "42168573"}, {"ref": "satyamkathait/notebook179be1986f", "kernel_id": "42117525"}, {"ref": "montassarbenyahia/notebook4a3f46762f", "kernel_id": "42085740"}, {"ref": "aliuoa/predict-co2-emissions-in-rwanda", "kernel_id": "42587330"}, {"ref": "kboxo99/getting-started-with-halite", "kernel_id": "42155385"}, {"ref": "serhiikharchuk/public-lb-2-solution", "kernel_id": "42666696"}, {"ref": "deltax/co2-rwanda", "kernel_id": "43507160"}, {"ref": "mayarmohamedswilam/ps3e20-advanced-feature-engineering-ensemble", "kernel_id": "43952078"}, {"ref": "loikloikl/ploty-animated-map-of-emission", "kernel_id": "43587628"}, {"ref": "ucas0v0zhuoqunli/predict-co2-automl", "kernel_id": "43714615"}, {"ref": "ucas0v0zhuoqunli/automl-benchmark", "kernel_id": "43710069"}, {"ref": "rahulraj30/rwanda-emissions-prediction", "kernel_id": "43804589"}, {"ref": "fredrickkariuki/fork-of-predict-co2-emission-in-rwanda", "kernel_id": "43010443"}, {"ref": "lethanhnghia/deeplearning-co2-emissions", "kernel_id": "44759945"}, {"ref": "osamaabobakr/predict-co2-emissions-in-rwanda-acc-test-97-3", "kernel_id": "44977355"}, {"ref": "irissamputu/rwanda-emissions", "kernel_id": "44854803"}, {"ref": "mihalypetreczky/notebook7c315d658e", "kernel_id": "45149353"}, {"ref": "mohammadbolandraftar/pycaret-the-power-of-low-code-machine-learning", "kernel_id": "45088395"}, {"ref": "aryang257/predict-co2-emissions-in-rwanda-acc-test-97-3", "kernel_id": "45146461"}, {"ref": "jatinxmadaan/predict-co2-emissions-in-rwanda-acc-test-97-3", "kernel_id": "45783099"}, {"ref": "brandonburtchell/cs7313-final-part-1-eda", "kernel_id": "46652994"}, {"ref": "brandonburtchell/cs7313-final-part-2-comparing-regressors", "kernel_id": "46768505"}, {"ref": "osamaabobakr/predict-co2-test-98", "kernel_id": "47525608"}, {"ref": "euruszz/new-co2-predict", "kernel_id": "48502531"}, {"ref": "heagoo/predictco2emission-data-analysis", "kernel_id": "48824832"}, {"ref": "nitishjolly/predict-co2", "kernel_id": "49990639"}, {"ref": "udaysharma007/co2-emmision", "kernel_id": "49767934"}, {"ref": "khyatimunjal/notebookcbc0a2a3a8", "kernel_id": "49542362"}, {"ref": "mahendra301/co2-emissions-in-rwanda-prediction", "kernel_id": "50614040"}, {"ref": "shamsin/notebooke39a43eb78", "kernel_id": "50973124"}, {"ref": "akashdeepkataria/predict-co2-emissions-in-rwanda", "kernel_id": "50786446"}, {"ref": "rohangulati14/best-prediction-of-co2-emissions-in-rwanda", "kernel_id": "50872684"}, {"ref": "qubebox/co2-emissions-in-rwanda", "kernel_id": "50461852"}, {"ref": "arshiyakishore/predict-co2-emissions-in-rwanda-d1", "kernel_id": "50092543"}, {"ref": "nitleenk/co2-emissions", "kernel_id": "50500051"}, {"ref": "raghav723/predict-co2-emissions", "kernel_id": "50787314"}, {"ref": "kunal025/predict-co2-emissions-in-rwanda", "kernel_id": "50054431"}, {"ref": "piyush1234ggfuvi/co2-emission", "kernel_id": "50752336"}, {"ref": "himanshu230/notebooka67ceb5f66", "kernel_id": "50093347"}, {"ref": "mayankgupta9/notebookdc2d3c3538", "kernel_id": "50105467"}, {"ref": "jjjjjjjjfdgdg/predicting-co2-emissions", "kernel_id": "50474411"}, {"ref": "jjjjjjjjfdgdg/predict-co2-emissions-in-rwanda", "kernel_id": "50473851"}, {"ref": "himaanishaggarwal/co18-emission", "kernel_id": "50863703"}, {"ref": "rijuljain2003/co2-emissionsrijul", "kernel_id": "50955623"}, {"ref": "ishanmathurkaggle28/prediction-of-co2-begginner-approach", "kernel_id": "50473168"}, {"ref": "thaparrishav/co2emission", "kernel_id": "50994725"}, {"ref": "aayushibareja/notebook3e70bfd04b", "kernel_id": "50418099"}, {"ref": "quackinghorse/co2-emission-102103453", "kernel_id": "50812195"}, {"ref": "rahulgurwannn/notebook8515698f28", "kernel_id": "50772350"}, {"ref": "bhavya4400/bhavya-solutions", "kernel_id": "50770490"}, {"ref": "manmeetkaursidhu/regression-with-a-wild-blueberry-yield-dataset", "kernel_id": "51081022"}, {"ref": "ojaswanib/emissions-co2-ojaswani", "kernel_id": "51216016"}, {"ref": "prabhdeep123/predict-co2-emissions-in-rwanda-xg-boost", "kernel_id": "51627064"}, {"ref": "shivamvermathapar/predict-co2-emissions-in-rwanda-xg-boost", "kernel_id": "51062799"}, {"ref": "aryandogra/notebook62f6585978", "kernel_id": "51159119"}, {"ref": "devbansal2140/predicting-co2-emissions-using-linear-regression", "kernel_id": "51185372"}, {"ref": "aradhakkandhari/predict-co2-emissions-in-rwanda-using-xg-boost", "kernel_id": "51585738"}, {"ref": "aashimbansal/co2-emissions-aashim", "kernel_id": "51081802"}, {"ref": "harshitstark/predict-co2-emissions-in-rwanda", "kernel_id": "51082192"}, {"ref": "dhruvsinghchauhan01/predict-co2-emissions", "kernel_id": "51922658"}, {"ref": "paramvir705/predict-co2-emissions-in-rwanda", "kernel_id": "51082116"}, {"ref": "manishatankasala/predictions-using-regression-techniques", "kernel_id": "52595604"}, {"ref": "chahat03/co2-predictions-in-rwanda-p6", "kernel_id": "52312217"}, {"ref": "hardikgarg03/co2-emissions-rawanda", "kernel_id": "53341154"}, {"ref": "akshita0560/predict-co2-emissions-in-rwanda", "kernel_id": "54841337"}, {"ref": "abhinavvvvvvvvvv/co2-emissions-in-rawanda", "kernel_id": "54338977"}, {"ref": "sakshamsikri8/co2-emission", "kernel_id": "54264826"}, {"ref": "bolouki/predict-co2-emissions-eda-and-model", "kernel_id": "55593181"}, {"ref": "vl8222/prediction-of-co2-emission", "kernel_id": "55817369"}, {"ref": "vl8222/co2-emission-prediction", "kernel_id": "55818140"}, {"ref": "bhavikasaini/co2-emissions-preprocessing-visualization", "kernel_id": "55259902"}, {"ref": "cardata/co2-emission-prediction-in-rawanda", "kernel_id": "56842353"}, {"ref": "mohamedabder/01-eda-rwanda", "kernel_id": "57740156"}, {"ref": "mohamedabder/02-modelisation-sanstsne-rwanda", "kernel_id": "57740429"}, {"ref": "mohamedabder/03-modelisation-avec-tsne", "kernel_id": "57741305"}, {"ref": "riyosha/rwanda-co2-prediction", "kernel_id": "63597985"}, {"ref": "adnananam/co2-emissions-predictions-feature-selection", "kernel_id": "64616155"}, {"ref": "alexandrawong9/mlx03050505", "kernel_id": "66960409"}, {"ref": "agony233/time-series-eda-and-model", "kernel_id": "77231908"}, {"ref": "famingtang/time-series-eda-and-model-8d5f39", "kernel_id": "77366806"}, {"ref": "kujikawa/time-series-eda-and-model", "kernel_id": "77295550"}, {"ref": "tunphmnguynanh/rwanda-co2-eda", "kernel_id": "81764663"}, {"ref": "nguynxtuong/co2-modeling", "kernel_id": "83580821"}, {"ref": "tunphmnguynanh/co2-modeling", "kernel_id": "83492818"}, {"ref": "tunphmnguynanh/getting-started-eda", "kernel_id": "83254797"}, {"ref": "ajayjaat/prediction-of-co2-emissions", "kernel_id": "86186222"}, {"ref": "hassanriaz2303/eda-for-co2-emission", "kernel_id": "105551061"}, {"ref": "zaferaydin/getting-started-modeling-53d682", "kernel_id": "134717124"}]}
{"competition_id": "57163", "kernels": [{"ref": "thomasdubail/risk-evaluation-of-tweets-bert-baseline", "kernel_id": "43903925"}, {"ref": "stpeteishii/risk-evaluation-torch-roberta", "kernel_id": "44913918"}, {"ref": "kroha5/nlp-roberta", "kernel_id": "45436267"}, {"ref": "sohaibwael/start", "kernel_id": "45135709"}, {"ref": "kakamana/tweets-risk-evaluation-and-topic-modeling", "kernel_id": "45144830"}, {"ref": "alexandrubrezuleanu/ablation-study-version2", "kernel_id": "49417976"}, {"ref": "alexandrubrezuleanu/benchmark-performance-try", "kernel_id": "49487592"}, {"ref": "abozekry/multiple-transformers-for-enhanced-performance", "kernel_id": "50622476"}]}
{"competition_id": "57173", "kernels": [{"ref": "abishpius/fastai-tabular-learner-tutorial", "kernel_id": "41105779"}]}
{"competition_id": "57216", "kernels": []}
{"competition_id": "57218", "kernels": [{"ref": "stevesimons/do-train-and-test-have-the-same-distribution", "kernel_id": "41848088"}]}
{"competition_id": "57236", "kernels": [{"ref": "santiagomota/mockapi-enefit", "kernel_id": "45832966"}, {"ref": "rafiko1/enefit-xgboost-starter", "kernel_id": "45652831"}, {"ref": "michaelo/enefit-polars-preprocessing", "kernel_id": "45676797"}, {"ref": "avtandyl/xgb-approach", "kernel_id": "45930543"}, {"ref": "avtandyl/predict-energy-simple-baseline", "kernel_id": "45888827"}, {"ref": "fabiendaniel/mapping-locations-and-county-codes", "kernel_id": "45598517"}, {"ref": "sohier/enefit-basic-submission-demo", "kernel_id": "45484785"}, {"ref": "lucabasa/enefit-data-exploration", "kernel_id": "45989245"}, {"ref": "docxian/enefit-overview-and-time-series-plots", "kernel_id": "45574245"}, {"ref": "macarrony00/simple-zero-ml-solution-pb-219-06", "kernel_id": "45596994"}, {"ref": "tsunotsuno/enefit-eda-baseline", "kernel_id": "45787764"}, {"ref": "candyhope/enefit-xgboost-starter", "kernel_id": "45854664"}, {"ref": "javi23ruiz/preliminary-eda-energy", "kernel_id": "45571358"}, {"ref": "stpeteishii/energy-behavior-histplot", "kernel_id": "45581213"}, {"ref": "patrick0302/impact-of-weather-temporal-feat-and-holiday", "kernel_id": "45614951"}, {"ref": "patrick0302/more-revealed-from-target-revealed", "kernel_id": "45955287"}, {"ref": "mpwolke/prosuming-in-baltic-region", "kernel_id": "45558080"}, {"ref": "syerramilli/enefit-eda-xgboost-baseline", "kernel_id": "45933183"}, {"ref": "syerramilli/enefit-eda-catboost-baseline", "kernel_id": "45597238"}, {"ref": "pandaman817/baseline", "kernel_id": "45954050"}, {"ref": "vineeth1999/enefit-exploratory-data-analysis", "kernel_id": "45850176"}, {"ref": "vincentschuler/enefit-baseline-cross-validation", "kernel_id": "45598096"}, {"ref": "keitashimizu21/ja-en-enefit-eda-and-progress", "kernel_id": "45802131"}, {"ref": "sytuannguyen/predict-energy-behavior-of-prosumers", "kernel_id": "45561037"}, {"ref": "greysky/enefit-lgbm-baseline", "kernel_id": "45603663"}, {"ref": "greysky/enefit-weather-county-code", "kernel_id": "45727644"}, {"ref": "negoto/enefit-transform-train-data-into-validation-env", "kernel_id": "45970121"}, {"ref": "negoto/enefit-production-and-solar-radiation-eda", "kernel_id": "45566714"}, {"ref": "fernandosr85/predict-energy", "kernel_id": "45768902"}, {"ref": "jirkaborovec/enefit-forecast-eda-weather", "kernel_id": "45718116"}, {"ref": "jirkaborovec/enefit-forecast-eda-xgboost-regressor-gpu", "kernel_id": "45570835"}, {"ref": "jirkaborovec/enefit-forecast-eda-pytorch-auto-regression", "kernel_id": "45637724"}, {"ref": "jirkaborovec/enefit-forecast-eda-optuna-lightgbm-gpu", "kernel_id": "45629637"}, {"ref": "subhasishsinha/enefit-eda", "kernel_id": "45880332"}, {"ref": "thomasdubail/enefit-energy-prediction", "kernel_id": "45553676"}, {"ref": "verakozhevnikova/homely-fox-and-energy-problem", "kernel_id": "45937904"}, {"ref": "radoslawszostak/weights-of-weather-nodes-for-counties", "kernel_id": "45939654"}, {"ref": "ainjhamn526/eda-japanese", "kernel_id": "45835335"}, {"ref": "ainjhamn526/eda-wind-pattern", "kernel_id": "45911976"}, {"ref": "ravi20076/enefit-traindataprep", "kernel_id": "45623231"}, {"ref": "ravi20076/enefit-baseline-models", "kernel_id": "45643237"}, {"ref": "iqmansingh/enefit-interactive-time-series-analysis", "kernel_id": "45724497"}, {"ref": "st0rml0s/enefit-energy", "kernel_id": "45592400"}, {"ref": "jeanbaptistescellier/points-where-weather-is-given", "kernel_id": "45986866"}, {"ref": "muhannadmansour/predict-energy-lgbm", "kernel_id": "45929750"}, {"ref": "sooyoungher/eda-enefit-predict-energy", "kernel_id": "45563349"}, {"ref": "sb0702/enefit-1st-step-data-summary", "kernel_id": "45682607"}, {"ref": "alexeyk12/features-eng-neer-ng-algor-thm-select-on", "kernel_id": "45605681"}, {"ref": "keishibata/enefit-quick-eda-en", "kernel_id": "45771487"}, {"ref": "prernashekhawat/enefit-1-step-eda", "kernel_id": "45848952"}, {"ref": "yunsuxiaozi/welcome-to-predict-energy-behavior-of-prosumers", "kernel_id": "45589994"}, {"ref": "yunsuxiaozi/predict-energy-behavior-of-prosumers-baseline", "kernel_id": "45590327"}, {"ref": "bukkyojo/enefit-data-exploration-and-preprocessing", "kernel_id": "45953890"}, {"ref": "hli111111/eda-and-time-series-fourier-psd-simple-zero-ml", "kernel_id": "45856729"}, {"ref": "dulee1206/enefit-eda", "kernel_id": "45779596"}, {"ref": "afreedhussainshaik/notebook5879900963", "kernel_id": "45839662"}, {"ref": "daisuke0204/enefit-lgbm-cv-baseline", "kernel_id": "45592748"}, {"ref": "rafiko1/enefit-target-eda", "kernel_id": "46357577"}, {"ref": "evan918/simple-baseline", "kernel_id": "46640697"}, {"ref": "finlay/more-revealed-from-target-revealed-78", "kernel_id": "46072235"}, {"ref": "alexandremoritz/eda-with-tensorflow-data-validation", "kernel_id": "46100051"}, {"ref": "abee82/tsai-package-dependencies", "kernel_id": "46898066"}, {"ref": "avtandyl/xgb-bayesian-opt", "kernel_id": "46018834"}, {"ref": "avtandyl/auto-eda-sweetviz-extensive-analytics", "kernel_id": "46192860"}, {"ref": "bowaka/enefit-how-to-use-pivot-melt-efficiently", "kernel_id": "46180048"}, {"ref": "darynarr/enefit-online-training", "kernel_id": "46977767"}, {"ref": "bruceqdu/understanding-the-task-and-data-of-the-competition", "kernel_id": "46559749"}, {"ref": "jameshuang890902/usage-of-public-timeseries-testing-util-py-mockap", "kernel_id": "46576862"}, {"ref": "ginkobalboa/run-train-data-with-the-api", "kernel_id": "46827004"}, {"ref": "javi23ruiz/visualize-ts-outliers-treatment", "kernel_id": "46314292"}, {"ref": "rayanaay/imputing-strategies-for-revealed-target", "kernel_id": "46419114"}, {"ref": "dkeylit/first-baseline", "kernel_id": "46650831"}, {"ref": "patrick0302/do-you-desire-sun-power", "kernel_id": "46747268"}, {"ref": "greysky/enefit-generic-notebook", "kernel_id": "46503053"}, {"ref": "augustoumaa/train-data-exploration-analysis", "kernel_id": "46527082"}, {"ref": "anubhavtyagi1212/eenefit-predict-energy-behaviour", "kernel_id": "46644075"}, {"ref": "negoto/enefit-zero-ml-baselines-validation", "kernel_id": "46008687"}, {"ref": "franklinshih0617/efit-eda-3d-plotly", "kernel_id": "46154236"}, {"ref": "marcosgalvo/enefittimeseriesanalysis", "kernel_id": "46880949"}, {"ref": "thomasmeiner/ps3e25-tabnet-tuned", "kernel_id": "46168728"}, {"ref": "thomasmeiner/ps3e25-lgbm-tuned", "kernel_id": "46168291"}, {"ref": "guillaumehabault/weather-station-comp-notebook-vs-csv", "kernel_id": "46956827"}, {"ref": "lucamtb/enefit-basic-analyse-revelead-target", "kernel_id": "46735644"}, {"ref": "manishatankasala/understanding-data-using-pyspark", "kernel_id": "46479935"}, {"ref": "caoofficial/enefit-predict-energy-by-lgbm-pandas", "kernel_id": "46739496"}, {"ref": "zyhchasel/enefit-pebop-baseline-new-features", "kernel_id": "46968386"}, {"ref": "radoslawszostak/convert-weather-lat-lon-to-county-using-weights", "kernel_id": "46129161"}, {"ref": "radoslawszostak/interactive-time-series-dashboard", "kernel_id": "46084446"}, {"ref": "salvatoren/interactive-weather-map", "kernel_id": "46934371"}, {"ref": "serdargundogdu/enefit-predict-energy-behavior-eda", "kernel_id": "46399259"}, {"ref": "siddhvr/enefit-pebop-baseline", "kernel_id": "46808459"}, {"ref": "tommywangzt/wzt-test", "kernel_id": "46809315"}, {"ref": "inuinuinu/simplest-lightgbm-prediction-for-enefit", "kernel_id": "46400617"}, {"ref": "fnrsml/weather-points-vs-county-boundaries", "kernel_id": "46088073"}, {"ref": "sooyoungher/enefit-making-data-like-test-data-set-format", "kernel_id": "46840791"}, {"ref": "pariyawan02/enefit-eda-profiling-reading-data", "kernel_id": "46549251"}, {"ref": "aniketkolte04/enefit-time-series-analysis-eda-sarimax", "kernel_id": "46381555"}, {"ref": "rahgirrafi/enefit-data-preprocessing", "kernel_id": "46542704"}, {"ref": "enricomanosperti/enefit-predict-energy-behavior-of-prosumers", "kernel_id": "46094163"}, {"ref": "neerajkumar75260/enefit-model-prediction", "kernel_id": "46333391"}, {"ref": "namanbansal4122/72-42-lb-score", "kernel_id": "46261374"}, {"ref": "namanbansal4122/71-4-lb", "kernel_id": "46728775"}, {"ref": "benjaminboafo/eda-time-series-analysis", "kernel_id": "46254305"}, {"ref": "dulee1206/enefit-lightgbm-baseline", "kernel_id": "46410478"}, {"ref": "dulee1206/enefit-tabnet-baseline", "kernel_id": "46266196"}, {"ref": "dsjulie/prj-lightgbm-predict-energy-behavior-of-prosumer", "kernel_id": "46508678"}, {"ref": "imtommi/enefit-lag-feature", "kernel_id": "46627633"}, {"ref": "gagandeep44489/time-series-analysis-of-enefit", "kernel_id": "46235041"}, {"ref": "al1337/simple-linearreg-train-csv-no-other-data", "kernel_id": "46867644"}, {"ref": "mattiaskimst/enefit-kaggle-ids-h9", "kernel_id": "46751130"}, {"ref": "ledangnguyn/enefit-ldn-vntm-vgh", "kernel_id": "46443533"}, {"ref": "ledangnguyn/eda-enefit", "kernel_id": "46836036"}, {"ref": "manuelrenepaulstoews/data-analysis", "kernel_id": "46919784"}, {"ref": "ruiningjing/enefit-baseline", "kernel_id": "46543005"}, {"ref": "vladnerus/enefit-lgb-nvn", "kernel_id": "46806172"}, {"ref": "sermakarevich/timeseries-cross-val-score-and-gridsearchcv", "kernel_id": "47967263"}, {"ref": "vitalykudelya/explain-dataset-and-baseline", "kernel_id": "47674333"}, {"ref": "finlay/enefit-prediction-from-0-to-1", "kernel_id": "47980229"}, {"ref": "finlay/enefit-prediction-polars-101", "kernel_id": "47980285"}, {"ref": "finlay/pandas-data-description-and-starters-guide", "kernel_id": "47991386"}, {"ref": "rishabhvijay/enefit-predict-energy-behavior-of-prosumers", "kernel_id": "47355179"}, {"ref": "darynarr/estonian-holidays-2021-2024", "kernel_id": "47360941"}, {"ref": "bruceqdu/please-help-me-slove-submission-scoring-error", "kernel_id": "47031688"}, {"ref": "ymatioun/enefit-ym1", "kernel_id": "47465872"}, {"ref": "theblitzer/enefit-energy-forecasting", "kernel_id": "47028449"}, {"ref": "ginkobalboa/simple-copycat-baseline", "kernel_id": "47097986"}, {"ref": "ritabanmitra/enefit", "kernel_id": "47259563"}, {"ref": "ozhiro/tabnet-enefit-pebop-baseline-new-features", "kernel_id": "47572206"}, {"ref": "akirasarashina/enefit-eda-geographic-explanation", "kernel_id": "47957938"}, {"ref": "dhanyabahadur/enefit-baseline", "kernel_id": "47048266"}, {"ref": "qujimoshi/enefit-quick-eda-with-dash", "kernel_id": "47471934"}, {"ref": "csmimrankhan/enefit-pebop-submission", "kernel_id": "47368001"}, {"ref": "greysky/enefit-darts-study-notes", "kernel_id": "47418031"}, {"ref": "ahmedmlabib/enefit-eda", "kernel_id": "47370227"}, {"ref": "danielgyebnar/notebook0983271dd0", "kernel_id": "47836422"}, {"ref": "lucamtb/very-basis-neural-network", "kernel_id": "47579937"}, {"ref": "abaojiang/enefit-quick-eda-with-dash-mlp-baseline", "kernel_id": "47298082"}, {"ref": "andrealunch/enefit-eda-first-exploration", "kernel_id": "47497935"}, {"ref": "wksdnr123/ver-enefit-xgboost-starter", "kernel_id": "47432077"}, {"ref": "ahmedabdulwahab/pandas-data-description-and-starters-guide", "kernel_id": "47939992"}, {"ref": "lucazhou/ensemble-with-iterators", "kernel_id": "47798604"}, {"ref": "siddhvr/enefit-pebop-lgbm-sub", "kernel_id": "47697034"}, {"ref": "galu199/fiku-ny-enefit", "kernel_id": "47370840"}, {"ref": "essay345/date-range-of-test-data-at-same-data-block-id", "kernel_id": "47947118"}, {"ref": "risakashiwabara/easy-data-visualization", "kernel_id": "47916972"}, {"ref": "yossefazam/eda-time-series-analysis", "kernel_id": "47419573"}, {"ref": "yihongchung/notebook29c3fbee81", "kernel_id": "47418578"}, {"ref": "nadirnuralin/fds-group-lightgbm", "kernel_id": "47988012"}, {"ref": "yunsuxiaozi/predict-energy-behavior-of-prosumers-study-note", "kernel_id": "47175702"}, {"ref": "wasjaip/gpu-ergo-lite-v2-lgb-cat", "kernel_id": "47935569"}, {"ref": "nischaymahamana/enefit-pebop-submission-change-hps", "kernel_id": "47309284"}, {"ref": "moritzm00/enefit-simple-visualizations", "kernel_id": "47207234"}, {"ref": "suryaabhinai/ai-vision-task-2", "kernel_id": "47935209"}, {"ref": "vcode1509/enefit-regression", "kernel_id": "47955298"}, {"ref": "wjeanvyun/kd-eda-2nd-kr", "kernel_id": "47992329"}, {"ref": "auliarinili/explain-dataset-and-baseline", "kernel_id": "47822866"}, {"ref": "kimnakkyum/enefit-231208", "kernel_id": "47497324"}, {"ref": "jhanavihegde/jhanavi-hegde-nb-enefit-xgboost-starter", "kernel_id": "47598904"}, {"ref": "jenilgajjar/notebook22240064bd", "kernel_id": "47055220"}, {"ref": "maxine1616/mymemes", "kernel_id": "47641350"}, {"ref": "maxine1616/iameverywhere", "kernel_id": "47504719"}, {"ref": "najeebz/enefit-basic-submission-demo", "kernel_id": "47853666"}, {"ref": "najeebz/eda-initial-book-still-wip", "kernel_id": "47423144"}, {"ref": "emiliojohn/notebook5c552593a0", "kernel_id": "47205974"}, {"ref": "emiliojohn/notebook1855c077da", "kernel_id": "47210642"}, {"ref": "emiliojohn/notebookbf35877f18", "kernel_id": "47213962"}, {"ref": "emiliojohn/fork-of-notebook1855c077da", "kernel_id": "47222667"}, {"ref": "emiliojohn/notebook5108a6cecc", "kernel_id": "47203281"}, {"ref": "yun147/enefit-simplednn-predict", "kernel_id": "47193158"}, {"ref": "mrriandmstique/enefit-data-and-insights", "kernel_id": "47692418"}, {"ref": "macaron1217/enefit-yj", "kernel_id": "47201285"}, {"ref": "ledangnguyn/eda-baseline-lgbm", "kernel_id": "47036490"}, {"ref": "manuelrenepaulstoews/hyperparameter-optimized-gradient-boosted-tree", "kernel_id": "47453520"}, {"ref": "manuelrenepaulstoews/gbm-parameter-optimization", "kernel_id": "47363435"}, {"ref": "manuelrenepaulstoews/linear-regression", "kernel_id": "47067591"}, {"ref": "manuelrenepaulstoews/fork-of-hyperparameter-optimized-gradient-b-06ba55", "kernel_id": "47734563"}, {"ref": "zhangyuehua/dm2023-gzhu-enefit-forecast", "kernel_id": "47272531"}, {"ref": "ddikua/notebook-version2", "kernel_id": "47431111"}, {"ref": "ddikua/version-3", "kernel_id": "47792780"}, {"ref": "emanuelduarte99/multilayer-perceptron-model-test", "kernel_id": "47554196"}, {"ref": "jojungim/enefit-step1-understand-and-merge-datasets", "kernel_id": "47756507"}, {"ref": "vitalykudelya/enefit-object-oriented-gbdt", "kernel_id": "48539869"}, {"ref": "mcsweena/the-effect-of-new-prediction-unit-ids-in-testset", "kernel_id": "48075809"}, {"ref": "mcsweena/the-power-of-clip-0", "kernel_id": "48178676"}, {"ref": "finlay/enefit-prediction-holiday-analysis", "kernel_id": "48945834"}, {"ref": "davero/enefit-lgb-with-regression-l1-objective", "kernel_id": "48387546"}, {"ref": "vshantam/eda-fe-design-enefit-predict-energy", "kernel_id": "48064801"}, {"ref": "onurrr90/using-gpu-solution-without-wasting-30h-gpu-quota", "kernel_id": "48802055"}, {"ref": "onurrr90/train-lgbm-on-google-colab-to-be-used-in-kaggle", "kernel_id": "48803477"}, {"ref": "onurrr90/let-s-start-using-gpu", "kernel_id": "48414818"}, {"ref": "roger92/fork-of-explain-dataset-and-baseline-simple-adj", "kernel_id": "48054211"}, {"ref": "roger92/mockapi-local-itertool", "kernel_id": "48125154"}, {"ref": "rishabhvijay/enefit-predict-energy-behavior-data-viz", "kernel_id": "48766786"}, {"ref": "xxbxyae/log1p-target-lgbm", "kernel_id": "48905082"}, {"ref": "ozoozo/enefit-eda-product-type-vs-county", "kernel_id": "48569874"}, {"ref": "beezus666/enfit-cv-and-auto-embeddings", "kernel_id": "48528684"}, {"ref": "renatoreggiani/enefit-best-lb-shared-with-early-stop", "kernel_id": "48154376"}, {"ref": "takanashihumbert/plot-each-type-s-two-kinds-of-series", "kernel_id": "48459318"}, {"ref": "mzaoualim/enefit-lstm-starter", "kernel_id": "48996094"}, {"ref": "ninjapiggz/enefit-xgboost-starter", "kernel_id": "48591042"}, {"ref": "takashi030210/overview-understanding-eda-in-japanese", "kernel_id": "48857235"}, {"ref": "loki97/energy-pred-by-azure-data-factory-ml-data-bricks", "kernel_id": "48407454"}, {"ref": "farzonaeraj/enefit", "kernel_id": "48859249"}, {"ref": "robertturro/building-complete-train-data", "kernel_id": "48236820"}, {"ref": "robertturro/sankey-diagrams-time-series-plots", "kernel_id": "48841480"}, {"ref": "anmolgarg1998/enefit-energy-neuralnetwork", "kernel_id": "48790005"}, {"ref": "agshiv92/enefit-basic-lgbm-voting-regressor", "kernel_id": "48581395"}, {"ref": "fernandosr85/predict-energy-using-combined-models", "kernel_id": "48652395"}, {"ref": "giriguro/baseline", "kernel_id": "48870820"}, {"ref": "seansheen/simple-eda-a9f", "kernel_id": "48877901"}, {"ref": "eviltrtl/random-forest-reduced", "kernel_id": "48780489"}, {"ref": "evalyev/enefit-other-models", "kernel_id": "48411991"}, {"ref": "evalyev/enefit-lama", "kernel_id": "48380784"}, {"ref": "albansteff/enefit-estonian-holidays-lb-65-79", "kernel_id": "48699174"}, {"ref": "axelrk200/just-average", "kernel_id": "48978768"}, {"ref": "squarehare/starter-lgbm-and-r-forest", "kernel_id": "48033142"}, {"ref": "yutotamura/enefit-eda", "kernel_id": "48214960"}, {"ref": "treetreeanderson/enefit-eda", "kernel_id": "48043474"}, {"ref": "mattiafornasiero/mlp-attempt", "kernel_id": "48645634"}, {"ref": "sarahyeboahm/prediction-of-energy-behaviour-of-prosumers", "kernel_id": "48821730"}, {"ref": "peterhopkinson/notebook74e0c3bc03", "kernel_id": "48340575"}, {"ref": "siddhvr/enefit-pebop-lgbm-ensemble", "kernel_id": "48262652"}, {"ref": "andrusha95/pandas-using-enefit-models", "kernel_id": "48305064"}, {"ref": "hallojong0319/enefit-start-eda", "kernel_id": "48470340"}, {"ref": "hallojong0319/enefit-using-darts-library", "kernel_id": "48716842"}, {"ref": "hallojong0319/enefit-lgbm-baseline", "kernel_id": "48825839"}, {"ref": "stechparme/viewing-data-eda", "kernel_id": "48295588"}, {"ref": "stechparme/create-label-and-viewing-english", "kernel_id": "48422961"}, {"ref": "leucanthos/eda-and-comments-updated", "kernel_id": "48872923"}, {"ref": "kensomeya/technical-analysis-features", "kernel_id": "48376612"}, {"ref": "kensomeya/log-transformation-and-how-it-change", "kernel_id": "48009128"}, {"ref": "wasjaip/a-small-analysis-of-the-final-submissions", "kernel_id": "48494659"}, {"ref": "newtonbaba12345/lb-67-48", "kernel_id": "48408866"}, {"ref": "pashakrapivin/lgbm-baseline-holidays-and-locations", "kernel_id": "48996106"}, {"ref": "hermitmb/kaggle-enefit2", "kernel_id": "48264977"}, {"ref": "vcode1509/enefit-increase-test-size-lb-67-38", "kernel_id": "48531334"}, {"ref": "vcode1509/enefit-lb-65-65", "kernel_id": "48601614"}, {"ref": "kangtori/1220-101-base", "kernel_id": "48112752"}, {"ref": "wjeanvyun/basic-eda", "kernel_id": "48109949"}, {"ref": "wjeanvyun/enefit-best-lb-shared-with-early-stop", "kernel_id": "48553520"}, {"ref": "auliarinili/enefit-object-oriented-gbdt-188e67", "kernel_id": "48939515"}, {"ref": "zhiyunhuang/notebooke6f25a4759", "kernel_id": "48266764"}, {"ref": "billalpervaz/enefit-xgboost", "kernel_id": "48370280"}, {"ref": "aireba/xgboost-test", "kernel_id": "48562955"}, {"ref": "sanjaykoranga/enefit", "kernel_id": "48223029"}, {"ref": "pattaraponjindaboot/enefit", "kernel_id": "48326960"}, {"ref": "jhanavihegde/final-jhanavi-hegde-enefit-challenge-nb", "kernel_id": "48242490"}, {"ref": "stealthtechnologies/testing", "kernel_id": "48503225"}, {"ref": "seoyunje/enefit-eda-baseline", "kernel_id": "48990649"}, {"ref": "minhsienweng/gpu-enfit-lgbm-ensemble-catboost-deeptable", "kernel_id": "48663623"}, {"ref": "minhsienweng/gpu-train-lgbm-model-2x", "kernel_id": "48442214"}, {"ref": "dolirajagukguk/predict-energy", "kernel_id": "48056334"}, {"ref": "ruiyaoyang/lb-66-07", "kernel_id": "48681213"}, {"ref": "ruiyaoyang/lb-66-92", "kernel_id": "48562362"}, {"ref": "paulmacmanus/enefitutilities", "kernel_id": "48085196"}, {"ref": "paulmacmanus/enefittrainmodel", "kernel_id": "48244199"}, {"ref": "paulmacmanus/enefitruntest", "kernel_id": "48245001"}, {"ref": "najeebz/enefit-tableau-visualization-still-wip", "kernel_id": "48196714"}, {"ref": "lmipicaec/enefit-pebop-lgbm-auto-find", "kernel_id": "48297016"}, {"ref": "xbg123/optimizing-decision-trees", "kernel_id": "48253614"}, {"ref": "chaozhuang/enefit-eda-w-fft-ssa-lgbm-voting-regressor", "kernel_id": "48153248"}, {"ref": "wasjaipmailru/new-6628", "kernel_id": "48664268"}, {"ref": "abzalaidakhmetov/fds-group-linear-regression", "kernel_id": "48280228"}, {"ref": "abzalaidakhmetov/fds-group-random-forest", "kernel_id": "48267892"}, {"ref": "metinsefata/energy", "kernel_id": "48779609"}, {"ref": "uerou87/enefit-trial", "kernel_id": "48385821"}, {"ref": "yassinealouini/enefit-public-ensemble-accelerated-on-gpu", "kernel_id": "49785744"}, {"ref": "vitalykudelya/enefit-update-submission-logic", "kernel_id": "49946442"}, {"ref": "vitalykudelya/enefit-model-validation", "kernel_id": "49920161"}, {"ref": "vitalykudelya/enefit-target-diff", "kernel_id": "49146273"}, {"ref": "uzdavinys/enefit-applying-fastai-course-material", "kernel_id": "49203757"}, {"ref": "aerdem4/enefit-public-ensemble-accelerated-on-gpu", "kernel_id": "49633067"}, {"ref": "aerdem4/enefit-lofo-feature-importance", "kernel_id": "49515560"}, {"ref": "martintomis/new-pipeline-delta", "kernel_id": "49698507"}, {"ref": "vitorbl/enefit-grider", "kernel_id": "49224265"}, {"ref": "chariot/mysub", "kernel_id": "49988447"}, {"ref": "inbalkiv/predict-energy-behavior-eda-xgbregressor", "kernel_id": "49395314"}, {"ref": "yekenot/deeptables-nn-lgbm-ensemble", "kernel_id": "49706770"}, {"ref": "asimandia/enefit-pebop-eda-plotly-and-modelling-save-mode", "kernel_id": "49460304"}, {"ref": "dhurky/enefit-competition", "kernel_id": "49867068"}, {"ref": "ozoozo/enefit-eda-first-look-at-train-csv-test-csv", "kernel_id": "49087064"}, {"ref": "beezus666/enfit-cat-lgbm-bronze", "kernel_id": "49590612"}, {"ref": "beezus666/enfit-bronze-catboost-ensemble", "kernel_id": "49987416"}, {"ref": "vinitkp/energy-feature-engineering", "kernel_id": "49914623"}, {"ref": "kononenko/v3-tuned-enefit-pebop-eda-plotly-and-modelling", "kernel_id": "49512196"}, {"ref": "flat831/private-26th-code", "kernel_id": "49999938"}, {"ref": "alexvmt/enefit-autogluon-submission-notebook", "kernel_id": "49163673"}, {"ref": "alexvmt/enefit-automl-starter-notebook-using-autogluon", "kernel_id": "49161371"}, {"ref": "kdafke123141/single-lgbmodel-train-val-split", "kernel_id": "49030255"}, {"ref": "batprem/enefit-pebop-catboost-added", "kernel_id": "49840390"}, {"ref": "batprem/fork-of-enefit-pebop-disable-plot", "kernel_id": "49869793"}, {"ref": "kitaru/enefit-pebop-eda-plotly-and-modelling-save-mode", "kernel_id": "49478854"}, {"ref": "yutodennou/competition-enefit-nn-lbgm", "kernel_id": "49782945"}, {"ref": "usama233333/engineering-datetime-variables", "kernel_id": "49397416"}, {"ref": "qllqll/enefit-lb-65-39", "kernel_id": "49247732"}, {"ref": "jirkaborovec/enefit-forecast-pipe-1-3-eda-feature-eng", "kernel_id": "49691413"}, {"ref": "jirkaborovec/enefit-forecast-pipe-3-3-ensemble-inference", "kernel_id": "49709378"}, {"ref": "jirkaborovec/enefit-forecast-pipe-2-3-train-lightgbm", "kernel_id": "49714348"}, {"ref": "tikadisplay/enefit-predict-energy-behavior-of-prosumers", "kernel_id": "49077815"}, {"ref": "kimbyungchun/enefit-basic-submission-demo", "kernel_id": "49072132"}, {"ref": "kimbyungchun/enefit-eda-datetime", "kernel_id": "49866034"}, {"ref": "lenferdetroud/enefit-pebop-catboost-added", "kernel_id": "49980517"}, {"ref": "caoofficial/submission-error-fix", "kernel_id": "49870177"}, {"ref": "hongyaohongyao/base6223-inference", "kernel_id": "49973029"}, {"ref": "axelrk200/lgbm-feature-importance-mae-57-79", "kernel_id": "49163857"}, {"ref": "gitfox/working-dummy-submission-after-2024-01-19-update", "kernel_id": "49827789"}, {"ref": "ubaydulloasatullaev/enefit-pebop-disable-plot", "kernel_id": "49863665"}, {"ref": "ubaydulloasatullaev/enefit-neural-network", "kernel_id": "49814056"}, {"ref": "amirkotobi/enefit-votingregressor-pipeline", "kernel_id": "49683066"}, {"ref": "abdiharyadi/enefit-final", "kernel_id": "49959877"}, {"ref": "dongyk/enefit-inference", "kernel_id": "49542280"}, {"ref": "olegshpagin/v3-tuned-enefit-pebop-eda", "kernel_id": "49640695"}, {"ref": "siddhvr/enefit-pebop-eda-plotly-and-modelling", "kernel_id": "49218225"}, {"ref": "stasborodynkin/enefit-pebop-eda-plotly-and-modelling-save-mode", "kernel_id": "49461993"}, {"ref": "stechparme/62th-solution", "kernel_id": "49960364"}, {"ref": "chanakanponpueng/enefit-object-oriented-gbdt-increase-gpu-util", "kernel_id": "49342093"}, {"ref": "hodinhtrieu/fork-of-enefit-target-diff", "kernel_id": "49217199"}, {"ref": "afrochamploo/rnn-attempt-done", "kernel_id": "49944709"}, {"ref": "jackren000/lstm-predict-energy-behavior-of-prosumers", "kernel_id": "49501936"}, {"ref": "muratbarkinknay/enefiteda", "kernel_id": "49600379"}, {"ref": "gyogyocat/enefit-r-beginner-s-practice-lightgbm", "kernel_id": "49865959"}, {"ref": "kensomeya/enefit-mean-catboost", "kernel_id": "49042975"}, {"ref": "wasjaip/big-voting-lgbm-workdays6228", "kernel_id": "49652521"}, {"ref": "activescott/enefit-data-explore-client-capacity-eic-count", "kernel_id": "49714931"}, {"ref": "mccasey/enefit-geospatial-clustering", "kernel_id": "49647702"}, {"ref": "mccasey/enefit-multi-input-nn", "kernel_id": "49494319"}, {"ref": "ubaydullohasatullaev/enefit-applying-fastai-course-material", "kernel_id": "49807143"}, {"ref": "wjeanvyun/pebop-eda-plotly-and-modelling-kr", "kernel_id": "49560140"}, {"ref": "wjeanvyun/enefit-production-and-solar-radiation-eda", "kernel_id": "49081380"}, {"ref": "wjeanvyun/kd-xgboost-update-kr", "kernel_id": "49201517"}, {"ref": "hijump/bogyo-eda", "kernel_id": "49080732"}, {"ref": "shum14/simple-preprocessing", "kernel_id": "49742671"}, {"ref": "fldlsklt/enefit-lb-65-39", "kernel_id": "49552206"}, {"ref": "preetrajgupta/enefit-xgboost", "kernel_id": "49053802"}, {"ref": "seoyunje/enefit-polars-fe-daily-monthly", "kernel_id": "49124384"}, {"ref": "seoyunje/enefit-lightautoml-tabnet", "kernel_id": "49828333"}, {"ref": "seoyunje/lightautoml-simple-lgbm", "kernel_id": "49862765"}, {"ref": "seoyunje/enefit-consumptin-business", "kernel_id": "49962266"}, {"ref": "hamidmoraditransport/client-and-train-dfs-simple-eda-by-visualization", "kernel_id": "49952107"}, {"ref": "mfmfmf3/clean-code-enefit-predict-energy-behavior-of", "kernel_id": "49840872"}, {"ref": "wongjocy/predict-energy-behaviour-of-prosumers-enefit", "kernel_id": "49935391"}, {"ref": "khushikhushikhushi/enefit-eda", "kernel_id": "49978734"}, {"ref": "mikhailgolubchik/ergo-learn-subprocess", "kernel_id": "49731817"}, {"ref": "sergiyostrovsky/data-analysis-airline-loyalty-campaign-program", "kernel_id": "49800840"}, {"ref": "dawnieel/submission-error-if-using-gradient-boosting", "kernel_id": "49888178"}, {"ref": "lijyunjhang/ivy-rnn", "kernel_id": "49083489"}, {"ref": "junkokato/enefit-charts-for-basic-dataset-overview", "kernel_id": "49868184"}, {"ref": "cristianmoramican/cristian-mora-micanlstm-final-version-python", "kernel_id": "49528734"}, {"ref": "myyeahnet/v3-tuned-enefit-pebop-eda-plotly-and-mo-38e394", "kernel_id": "49606668"}, {"ref": "shuyanggo/enefit", "kernel_id": "49232113"}, {"ref": "abhyudaya12/enefit-pvt-7", "kernel_id": "49819438"}, {"ref": "mistab/deep-learning-exercise-deeptable", "kernel_id": "49794020"}, {"ref": "nikolasaraltija/deep-learning", "kernel_id": "49902112"}, {"ref": "mmotoki/submit-blend-v5-4-0", "kernel_id": "50247451"}, {"ref": "fabiendaniel/fork-of-fork-of-enefit-lb-65-65", "kernel_id": "50119729"}, {"ref": "onurrr90/enefit-4-features-to-improve-score-public-lb-39", "kernel_id": "50288278"}, {"ref": "bluella/simple-solution-for-top100-on-public-lb", "kernel_id": "50039467"}, {"ref": "nlztrk/63-13-online-45-days-3-model-ensemble-b-500", "kernel_id": "50235459"}, {"ref": "supplejade/pytorch-tabnet-regressor-enefit-prosumer-v9-1", "kernel_id": "50364723"}, {"ref": "renatoreggiani/enefit-62-79-rm-eic-f-prod-capacity-f-cons", "kernel_id": "50236053"}, {"ref": "akmuthun/match-county-with-longitude-and-latitude", "kernel_id": "50883343"}, {"ref": "lonnieqin/enefit-pebop-ensembling", "kernel_id": "50003981"}, {"ref": "jirkaborovec/enefit-forecast-autogluon-time-series", "kernel_id": "50159307"}, {"ref": "jirkaborovec/enefit-forecast-gluonts-w-multi-output", "kernel_id": "50238432"}, {"ref": "jirkaborovec/enefit-forecast-autots-w-multi-output", "kernel_id": "50013243"}, {"ref": "lucamtb/validation-ensemble-model", "kernel_id": "50022967"}, {"ref": "axelrk200/predict-goodenough", "kernel_id": "50138477"}, {"ref": "jagofc/how-s-the-weather", "kernel_id": "50068216"}, {"ref": "ubaydulloasatullaev/v3-tuned-enefit-pebop-eda-plotly-and-modelling", "kernel_id": "50282121"}, {"ref": "ubaydulloasatullaev/enefit-pebop-model-eda-plotly", "kernel_id": "50251113"}, {"ref": "moamenibrahim2021/validation-using-deep-neural-networks", "kernel_id": "50229935"}, {"ref": "kerroumhamza/enefit-competition-with-tft-43-10-val-score", "kernel_id": "50781483"}, {"ref": "maverick011/notebookc25cca674a", "kernel_id": "50093264"}, {"ref": "gabrielchehade/enefit-eda", "kernel_id": "50325634"}, {"ref": "ubaydullohasatullaev/enefit-pebop-disable-plot", "kernel_id": "50281290"}, {"ref": "angelicababei/enefiteda", "kernel_id": "50828089"}, {"ref": "imtommi/enefit-pebop-lgbm-ensemble-with-cv", "kernel_id": "50194358"}, {"ref": "paulmacmanus/enefitpreptraindata", "kernel_id": "50065010"}, {"ref": "mfmfmf3/clean-code-enefit", "kernel_id": "50984663"}, {"ref": "bohaoxu/pb-63-01-4-lgbm-ensembled", "kernel_id": "50286074"}, {"ref": "bohaoxu/enefit-lb-63-01-model-training", "kernel_id": "50234903"}, {"ref": "rohitdileep/lightgbm-regressor", "kernel_id": "51568153"}, {"ref": "endofnight17j03/enefit-predict-behavior-of-prosumers", "kernel_id": "51755182"}, {"ref": "wenlingglassman/enefit-geolocation-county-mapping-using-geopy", "kernel_id": "51033818"}, {"ref": "billalpervaz/enefit-lightgbm", "kernel_id": "51083106"}, {"ref": "maciejw107/filtering-and-illustration-of-weather-stations", "kernel_id": "52437523"}, {"ref": "aymanallawi/my-submission", "kernel_id": "52783221"}, {"ref": "gabrielchehade/upload-data-on-aws-s3", "kernel_id": "53384597"}, {"ref": "hoangminh462/enefit-notebook", "kernel_id": "53647867"}, {"ref": "nattapongsscw/seniorproj-enefit", "kernel_id": "55090723"}, {"ref": "nattapongsscw/ice-final-project-notebook0bd2ac5189", "kernel_id": "55089586"}, {"ref": "jamessuryaputra/eco-modellista", "kernel_id": "56138762"}, {"ref": "fiftythirtyfour/enefit", "kernel_id": "57470813"}, {"ref": "dinhtanloc/ads-time-series", "kernel_id": "57163531"}, {"ref": "hiruthiksudhakar/energy-fit", "kernel_id": "57826015"}, {"ref": "heyitsgautham/enefit-submission", "kernel_id": "57826021"}, {"ref": "varnikaparthiban/enefit-model-prediction", "kernel_id": "57759151"}, {"ref": "gqy14127/enefit-prediction-lightautoml-mlp", "kernel_id": "58189533"}, {"ref": "gqy14127/enefit-prediction-eda", "kernel_id": "58140913"}, {"ref": "gqy14127/enefit-prediction-lightautoml-resnet", "kernel_id": "58262339"}, {"ref": "vigneshwaranmahadev/data-preprocessing-combining-all-7-dataframes", "kernel_id": "58095732"}, {"ref": "silverstarstorm/enefit-submission-template", "kernel_id": "59282644"}, {"ref": "tarit21/deeptables-nn-lgbm-ensemble", "kernel_id": "60056430"}, {"ref": "dragomirstojanovic/project-enefit-2", "kernel_id": "61985893"}, {"ref": "longlh0501/catboost-votinglightgbm", "kernel_id": "61189346"}, {"ref": "faeqsu10/enefit-eda", "kernel_id": "65937742"}, {"ref": "faeqsu10/enefit-eda2", "kernel_id": "65947528"}, {"ref": "alexandrelemercier/all-best-tabular-classifiers-comparative-study", "kernel_id": "65430377"}, {"ref": "eraikako/time-series-analysis-for-trading", "kernel_id": "66450733"}, {"ref": "hoeen5373/deeptables-nn-lgbm-voting-catboost-ense-baa754", "kernel_id": "66046187"}, {"ref": "shenjihua/some-features-64-56", "kernel_id": "66424298"}, {"ref": "dinhtanloc/viz-enefit-preprocessing", "kernel_id": "70100519"}, {"ref": "kimchiitranthi/viz-enefit-preprocessing", "kernel_id": "70249679"}, {"ref": "alexkovanev/test2", "kernel_id": "70905625"}, {"ref": "hanokh/enefit-eda", "kernel_id": "71481579"}, {"ref": "yyyjjjwww/pyfenxi", "kernel_id": "71689470"}, {"ref": "zzy123123/pyfenxi", "kernel_id": "71476747"}, {"ref": "rahgirrafi/power-consumption-prediction", "kernel_id": "72960991"}, {"ref": "pote112/enefit-predict-energy", "kernel_id": "72673939"}, {"ref": "jordanlianhs/enefit-custom-submission-test-1", "kernel_id": "79267075"}, {"ref": "maksymdolgikh/34th-place-enefit-pebop-training-prediction", "kernel_id": "79206959"}, {"ref": "justtns/lightgbm-ensemble-v2", "kernel_id": "80705696"}, {"ref": "jenniimai/enefit-project-sc4000", "kernel_id": "81433048"}, {"ref": "tohjianhong/enefit-sc4001-project-submission", "kernel_id": "81319548"}, {"ref": "brunoricardobs13/novonotebookpara-a-competi-o-pf", "kernel_id": "81254429"}, {"ref": "abrahampgeorge/lightgbm-bayesian-opt-stacking-regression", "kernel_id": "82154430"}, {"ref": "claudiuneagu/enefit-deeplearning", "kernel_id": "83404475"}, {"ref": "claudiuneagu/enefit-xgboost", "kernel_id": "83403668"}, {"ref": "yunbeomlee/enefit-predict-energy-behavior-of-prosumers", "kernel_id": "83021958"}, {"ref": "wangapa106g/hack-planet-green", "kernel_id": "95223942"}, {"ref": "rahulmohan11/enefit-final", "kernel_id": "106327634"}, {"ref": "timriggins/enefit-xgboost-starter", "kernel_id": "109680647"}, {"ref": "patrick0302/enefit-chronos2-forecasting", "kernel_id": "111637506"}, {"ref": "halomibonbon/enfit", "kernel_id": "113863587"}, {"ref": "gyeonglim/enefit-final-ko", "kernel_id": "115587444"}, {"ref": "sankalpsthakur/enefit-submission", "kernel_id": "128306958"}]}
{"competition_id": "57237", "kernels": []}
{"competition_id": "57296", "kernels": [{"ref": "tantusdata/example-solution", "kernel_id": "41192130"}, {"ref": "karlcini/1st-place-solution-tantusdata-summer-challenge", "kernel_id": "43287126"}]}
{"competition_id": "57395", "kernels": [{"ref": "mohammadaflahkhan/hatenorm-starter-kit", "kernel_id": "41487510"}]}
{"competition_id": "57397", "kernels": [{"ref": "keelanoliverbutler/predicci-n-de-precios-de-laptops1", "kernel_id": "41003644"}]}
{"competition_id": "57409", "kernels": []}
{"competition_id": "57467", "kernels": [{"ref": "hyunwoo3235/hai2023-jax", "kernel_id": "41161795"}, {"ref": "girinman/hai2023-pytorch", "kernel_id": "41177507"}, {"ref": "thxios457/hai2023", "kernel_id": "42218696"}, {"ref": "hyeokjupark/hai-2023-summer-hyeokju", "kernel_id": "42158416"}, {"ref": "rethinking/imnotgoodatkorean", "kernel_id": "42240177"}, {"ref": "kmeanu/hai2023-summmer-project", "kernel_id": "42255660"}]}
{"competition_id": "57506", "kernels": [{"ref": "radhakrishnanb/thapar-summer-school", "kernel_id": "41346463"}, {"ref": "deepanadak/who-s-got-more-money", "kernel_id": "41282222"}, {"ref": "kashish50/emp-sal-mse2", "kernel_id": "41270875"}, {"ref": "kashish50/emp-sal-prediction", "kernel_id": "41270130"}, {"ref": "ashmitcajla/regression-for-salary-prediction", "kernel_id": "41276552"}, {"ref": "kkamal2003/employee-salary-predication", "kernel_id": "41190768"}, {"ref": "lizasareen/employee-salary", "kernel_id": "41195493"}, {"ref": "lizasareen/tss-2", "kernel_id": "41189098"}, {"ref": "lizasareen/scikit-learn", "kernel_id": "41266748"}, {"ref": "ishaangaba17/employee-salary-prediction-cat-boost", "kernel_id": "41258349"}, {"ref": "emrullahyediyildiz/employee-salary-prediction", "kernel_id": "90500964"}]}
{"competition_id": "57593", "kernels": [{"ref": "chetanpawar2002/student-performance", "kernel_id": "73207738"}, {"ref": "andreysmirnov/student-performance", "kernel_id": "76416916"}]}
{"competition_id": "57752", "kernels": [{"ref": "godwinpaul/telecom-case-study-pca-upgrad", "kernel_id": "41561337"}, {"ref": "sadasivuninikhita/notebook3049581d48", "kernel_id": "74772381"}]}
{"competition_id": "57818", "kernels": [{"ref": "mrmldjr/3rd-place-25-points-solutions-ctf-defcon31", "kernel_id": "44343361"}, {"ref": "steubk/leaderboard-viz", "kernel_id": "44501414"}, {"ref": "sunny2309/capture-the-flag-17-flags-easy-solutions", "kernel_id": "44659093"}, {"ref": "ironbar/semantle-2-tuples-search", "kernel_id": "44477250"}, {"ref": "ironbar/7-granny-level1-black-box-attack", "kernel_id": "44852546"}, {"ref": "ironbar/7-granny-level2-black-box-attack", "kernel_id": "44947062"}, {"ref": "josepart/granny-1-ai-village-ctf-2023", "kernel_id": "44919108"}, {"ref": "proselotis/ctf-20-solutions", "kernel_id": "44374158"}, {"ref": "raresbarbantan/defcon31-ctf-23-flags", "kernel_id": "44397786"}, {"ref": "jingnanzhu/ctf-starter-revisited-version-with-detail-explain", "kernel_id": "44541513"}, {"ref": "kononenko/ctf-a-silver-medal-journey-22-flags", "kernel_id": "44986673"}, {"ref": "kononenko/ctf-load-model-for-cluster-level-1", "kernel_id": "44670280"}, {"ref": "kononenko/ctf-tracking-team-s-progress", "kernel_id": "44752072"}, {"ref": "kononenko/ctf-submission", "kernel_id": "44546876"}, {"ref": "mpwolke/hungry-wolf-ate-granny-flags", "kernel_id": "44371881"}, {"ref": "cf020031308/23-flags-w-o-the-big-4", "kernel_id": "44387037"}, {"ref": "varnez/ctf-mediocre-notebook-with-some-flags-solved", "kernel_id": "44306366"}, {"ref": "th3niko/ctf-2-24-my-solutions-hush-included", "kernel_id": "44820914"}, {"ref": "moohax/ctf-starter-aiv", "kernel_id": "44314243"}, {"ref": "dangnguyen97/cluster-level-2-find-number-cluster", "kernel_id": "44745122"}, {"ref": "pietromaldini1/pixelated", "kernel_id": "44969812"}, {"ref": "emeraldgoose/forked-ctf-starter-aiv", "kernel_id": "44343032"}, {"ref": "icees8/icees8-aivctf-solutions", "kernel_id": "44302005"}, {"ref": "amanmukati/ai-flag-game-1", "kernel_id": "44498794"}, {"ref": "mr0106/ai-ctf-defcon31", "kernel_id": "44526147"}, {"ref": "theerawitplukmontol/defcon31-ctf-attempt", "kernel_id": "44803299"}, {"ref": "zaheernazir/zee231012", "kernel_id": "44382764"}, {"ref": "mrmldjr/inversion-solution-ai-village-ctf-defcon31", "kernel_id": "45703803"}, {"ref": "mrmldjr/granny-1-and-2-solutions-ai-village-ctf", "kernel_id": "45267656"}, {"ref": "mrmldjr/passphrase-solution-ai-village-ctf-defcon31", "kernel_id": "45317470"}, {"ref": "ironbar/ctf23-ironbar-solutions-25-flags", "kernel_id": "45982794"}, {"ref": "josepart/granny-2-ai-village-ctf-2023", "kernel_id": "45184255"}, {"ref": "misfyre/22-3-flags-my-approaches-to-last-few", "kernel_id": "45958829"}, {"ref": "robikscube/23-flags-capture-the-flag-defcon31", "kernel_id": "45949028"}, {"ref": "bowaka/defcon31-granny-square-attack-in-details", "kernel_id": "45860932"}, {"ref": "rushali2406/11-flags-ctf-solutions", "kernel_id": "45925811"}, {"ref": "fumiyasuto/72nd-place-solution-for-defcon31-22-flags", "kernel_id": "45971676"}, {"ref": "jacoporepossi/defcon31-ctf-top-6-22-flags-solutions", "kernel_id": "45891021"}, {"ref": "lucasboesen/semantle-using-datamuse-api", "kernel_id": "45972965"}, {"ref": "jazivxt/no-hints-just-fooling-around", "kernel_id": "45662311"}, {"ref": "raiderrzj/defcon31-ai-ctf-22-flags", "kernel_id": "45974887"}, {"ref": "impradhumn/ctf-2023-beginners-approach-to-the-competition", "kernel_id": "45082470"}, {"ref": "yuribarbashov/25-flags-of-pain-no-cifar-and-granny-3", "kernel_id": "45944011"}, {"ref": "evanarlian/defcon31-solve-cluster-3-without-eyeballing", "kernel_id": "45980521"}, {"ref": "ivanrep/defcon-ai-ctf-solution-23-flags", "kernel_id": "45810282"}, {"ref": "nikhil1e9/defcon31-ctf-all-llm-solutions", "kernel_id": "45985413"}, {"ref": "yousseftaoudi/defcon31-solutions-20-points-10-bronze", "kernel_id": "45946267"}, {"ref": "pietromaldini1/defcon-2023-22-flags-write-up", "kernel_id": "45943241"}, {"ref": "imessam/ai-village-capture-the-flag-defcon31", "kernel_id": "45128220"}, {"ref": "amarneh/25-27-answer-to-all-questions-but-cifar-granny", "kernel_id": "45408485"}, {"ref": "thariqnugrohotomo/ctf-defcon31-pixelated-ocr-image-generator", "kernel_id": "45580740"}, {"ref": "asalhi/ctf-23-flags-solution", "kernel_id": "45950998"}, {"ref": "goelyash/defcon31-ai-village-capture-the-flag-22-flags", "kernel_id": "45882697"}, {"ref": "mohammad2012191/18-flags-some-unsuccessful-trials", "kernel_id": "45946731"}, {"ref": "syedusmanahmad/ai-ctf-25-27-flags-solution", "kernel_id": "45985325"}, {"ref": "patrih/ctf-bingus-travelling-solutions", "kernel_id": "45976789"}, {"ref": "tc0000/inversion-attack-sample-code", "kernel_id": "45953968"}, {"ref": "jumpeinagasawa/ctf-reiterating-queries-to-llms", "kernel_id": "45983542"}, {"ref": "jumpeinagasawa/ctf-tricky-solution-cluster1", "kernel_id": "45958821"}, {"ref": "furduisorinoctavian/18-flags-ai-ctf-write-ups", "kernel_id": "45970703"}, {"ref": "rakeshsingh8400/ai-village-capture-the-flag-defcon31", "kernel_id": "45909851"}, {"ref": "texopher/for-granny-various-images-about-timber-wolf", "kernel_id": "45087067"}, {"ref": "pathfinder1234/codewar-challenge", "kernel_id": "45927723"}, {"ref": "imrangula/ai-village-capture-the-flag-defcon31", "kernel_id": "45229279"}, {"ref": "imrangula/cluster-level-3-load-visual-extract", "kernel_id": "45229333"}, {"ref": "imrangula/for-granny-various-images-about-timber-wolf", "kernel_id": "45229376"}, {"ref": "pascaljacq/ctf31-22-flags", "kernel_id": "45975460"}, {"ref": "phanisrikanth/defcon31-llm-challenges-prompt-evolution", "kernel_id": "46206002"}, {"ref": "michalbigaj/cluster-3-without-guessing-order-of-letters", "kernel_id": "46568706"}, {"ref": "dzisandy/fork-of-ctf-starter-aiv-v5", "kernel_id": "46256233"}, {"ref": "maheta/notebook054389dc97", "kernel_id": "49581240"}, {"ref": "gagandeep44489/25-flags-of-pain-no-cifar-and-granny-3", "kernel_id": "61886757"}, {"ref": "theoviel/test-skill", "kernel_id": "116285773"}]}
{"competition_id": "57891", "kernels": [{"ref": "jpmiller/skmem", "kernel_id": "6074949"}, {"ref": "sohier/optiver-2023-basic-submission-demo", "kernel_id": "42869245"}, {"ref": "tomforbes/optiver-trading-at-the-close-introduction", "kernel_id": "42783943"}, {"ref": "wuhongrui/aslfr-gcs-path", "kernel_id": "42041802"}, {"ref": "id00000/notebook", "kernel_id": "42738063"}, {"ref": "kaito510/goto-conversion-optiver-baseline-models", "kernel_id": "43816346"}, {"ref": "kaito510/goto-conversion-baseline-lgb-xgb-and-catboost", "kernel_id": "43834491"}, {"ref": "bisili/optiver-initial", "kernel_id": "43482000"}, {"ref": "a27182818/explain-the-data-lightgbm-baseline", "kernel_id": "43556992"}, {"ref": "a27182818/how-the-submission-api-works", "kernel_id": "43645630"}, {"ref": "szukiyu/light-gbm-with-lastdays-target", "kernel_id": "43496072"}, {"ref": "szukiyu/public-timeseries-testing-util-rev", "kernel_id": "43603556"}, {"ref": "docxian/optiver-trading-at-the-close-r-eda", "kernel_id": "43462603"}, {"ref": "samoye95/optiver-kaggle-competition-with-pyspark", "kernel_id": "43508989"}, {"ref": "simranjeetsingh1430/optiver-mostoptimisedsolution", "kernel_id": "43697168"}, {"ref": "otugrul/optiver-lgbm-feature-engineering-and-optuna", "kernel_id": "43787813"}, {"ref": "stpeteishii/optiver-target-visualize-importance", "kernel_id": "43754835"}, {"ref": "stpeteishii/optiver-data-view", "kernel_id": "43751166"}, {"ref": "bhavesh1335/optivermodels", "kernel_id": "43857485"}, {"ref": "gunesevitan/optiver-trading-at-the-close-eda", "kernel_id": "43423654"}, {"ref": "mpwolke/volatility-matters-buckets-bid-prices", "kernel_id": "43431470"}, {"ref": "renatoreggiani/optv-lightgbm", "kernel_id": "43514722"}, {"ref": "renatoreggiani/optv-shap-explanation-for-feat-eng-ideas", "kernel_id": "43535227"}, {"ref": "mmmarchetti/esemble", "kernel_id": "43470490"}, {"ref": "mmmarchetti/most-simple-starter-s-notebook", "kernel_id": "43467838"}, {"ref": "yunchonggan/local-mockapi", "kernel_id": "43646425"}, {"ref": "jamiedonnelly/distribution-of-targets", "kernel_id": "43593239"}, {"ref": "lucasmorin/optiver-tatc-stock-0-eda", "kernel_id": "43502395"}, {"ref": "calibrator/optiver-2023-eda-wip", "kernel_id": "43561091"}, {"ref": "lonnieqin/optiver-2023-create-pickle-file", "kernel_id": "43818674"}, {"ref": "lonnieqin/optiver-2023-prediction-with-keras", "kernel_id": "43547952"}, {"ref": "yuanzhezhou/baseline-lgb-xgb-and-catboost", "kernel_id": "43440716"}, {"ref": "theodorospsarras/pytorch-nn-purgedgrouptimeseriessplit", "kernel_id": "43510068"}, {"ref": "dangnguyen97/goto-conversion-baseline-models", "kernel_id": "43834583"}, {"ref": "dangnguyen97/lgbmr-models", "kernel_id": "43796154"}, {"ref": "bachaboos/a-good-understanding-of-the-dataset", "kernel_id": "43430781"}, {"ref": "kiseokyoon/optiver-just-want-to-check-data-in-series", "kernel_id": "43458939"}, {"ref": "dristantadas/yahoo-finance-scrapper-starter-notebook", "kernel_id": "43678717"}, {"ref": "dristantadas/yahoo-finance-scrapper-and-use-llm-starter", "kernel_id": "43931858"}, {"ref": "daviddirethucus/optiver-01", "kernel_id": "43461252"}, {"ref": "wangzejian/notebookebd7e948fb", "kernel_id": "43672611"}, {"ref": "yus002/the-mechanism-of-revealed-targets", "kernel_id": "43659485"}, {"ref": "chiangken/introduction-and-explore-data-analysis", "kernel_id": "43869592"}, {"ref": "ylinzh/optv-lightgbm-rolling-feature", "kernel_id": "43888390"}, {"ref": "dongwenjun/data-eda", "kernel_id": "43697917"}, {"ref": "manuelkjg/torch-simple-nn-starter", "kernel_id": "43463663"}, {"ref": "haodonghu/looking-for-time-series", "kernel_id": "43477440"}, {"ref": "davidgoodrich/notebookff104c7c70", "kernel_id": "43435812"}, {"ref": "karl224/jp-explain-the-data-lightgbm-baseline", "kernel_id": "43740003"}, {"ref": "peizhengwang/purgedtimeseries-cv-weighted-average-prediction", "kernel_id": "43844782"}, {"ref": "junjitakeshima/optiver-simple-lgbm-for-beginner-eng", "kernel_id": "43852667"}, {"ref": "zainalinasir/optiver-from-deeplearning", "kernel_id": "43539855"}, {"ref": "ravi20076/optiver-extensiveeda", "kernel_id": "43526668"}, {"ref": "ravi20076/optiver-baseline-models", "kernel_id": "43463760"}, {"ref": "ravi20076/optiver-datapreparation", "kernel_id": "43427826"}, {"ref": "richwomanbtc/approx-of-index-wap", "kernel_id": "43573524"}, {"ref": "sebastiancasaspei/optiver-2023-first-attempts", "kernel_id": "43553172"}, {"ref": "azraimohamad/lgbm-optuna-optv-trading", "kernel_id": "43871094"}, {"ref": "leehann/baseline-lgb-xgb-and-catboos", "kernel_id": "43455398"}, {"ref": "endnguyen/optiver-trading-lgbm-optunaoptimization", "kernel_id": "43884861"}, {"ref": "evgeniybo/eda-features-and-test-of-stacking", "kernel_id": "43647284"}, {"ref": "iqbalsyahakbar/optiver-a-starter-s-notebook", "kernel_id": "43454851"}, {"ref": "nhttinnguynbch/optiver-baseline-models-5df5d6", "kernel_id": "43974287"}, {"ref": "peiduozhao/eda-train-csv", "kernel_id": "43529724"}, {"ref": "princej112/jordanbee-and-pj", "kernel_id": "43724361"}, {"ref": "kh8888/optv-lightgbm", "kernel_id": "43911409"}, {"ref": "alexander4127/notebook244976138f", "kernel_id": "43538992"}, {"ref": "chrisk321/optiver-initial-eda-in-r", "kernel_id": "43497762"}, {"ref": "yolovo/arima-and-garch-model-for-ts-cv", "kernel_id": "43599493"}, {"ref": "nolansmith/eda-part1-missing-values", "kernel_id": "43857044"}, {"ref": "akramguerchali/predicted-close-with-ar-model", "kernel_id": "43724616"}, {"ref": "saurabhru/us-stock-closing-prediction", "kernel_id": "43507920"}, {"ref": "akashpawar10/optiver-trading-at-the-close", "kernel_id": "43520694"}, {"ref": "amoametan/optiver-time-series", "kernel_id": "43946733"}, {"ref": "nathaniellybrand/optiver-starter-notebook", "kernel_id": "43729800"}, {"ref": "moritzm00/optiver-timeseries-visualizations-w-seaborn", "kernel_id": "43525219"}, {"ref": "moritzm00/optiver-xgb-tuning-w-ray-tune", "kernel_id": "43556381"}, {"ref": "moritzm00/optiver-lgbm-tuning-w-optuna", "kernel_id": "43748241"}, {"ref": "moritzm00/optiver-xgb-lgbm-inference", "kernel_id": "43591385"}, {"ref": "soyabulislamlincoln/optiver-eda", "kernel_id": "43806935"}, {"ref": "akshaykumar822/optive-first", "kernel_id": "43575299"}, {"ref": "samiatisha/optiver-notebook", "kernel_id": "43426865"}, {"ref": "armanzhalgasbayev/optiver-trading-at-the-close", "kernel_id": "43441846"}, {"ref": "riyashafees/notebook0119524b70", "kernel_id": "43549855"}, {"ref": "id00000/optiver-stock-competition-notebook", "kernel_id": "43530592"}, {"ref": "marcodibartolo98/optiver-2023-basic-submission-demo", "kernel_id": "43613899"}, {"ref": "sircausticmail/benchmarking", "kernel_id": "44213574"}, {"ref": "nhsmith/ns-histgb-defaults", "kernel_id": "44675419"}, {"ref": "nhsmith/ns-lightgbm-defaults", "kernel_id": "44676196"}, {"ref": "ebudia/evolution-number-stock", "kernel_id": "44361514"}, {"ref": "cv13j0/optiver-ml-trading-at-the-close", "kernel_id": "44625191"}, {"ref": "finlay/optiver-from-0-to-1", "kernel_id": "44290083"}, {"ref": "verracodeguacas/ensemble-learning-on-limit-order-book-data", "kernel_id": "44456464"}, {"ref": "verracodeguacas/sectors-industries-fiesta-pca-magic", "kernel_id": "44774175"}, {"ref": "verracodeguacas/bridging-gaps-linking-sectors-through-pca", "kernel_id": "44786032"}, {"ref": "verracodeguacas/bridging-gaps-sectors-through-pca-submission", "kernel_id": "44884725"}, {"ref": "meli19/lgb-kf-baseline", "kernel_id": "44295082"}, {"ref": "meli19/interactive-visualization-time-series", "kernel_id": "44076776"}, {"ref": "zhangyue199/pb-5-334-single-lgb-model-sharing-and-thoughts", "kernel_id": "44629923"}, {"ref": "lblhandsome/optiver-speedup-with-numba", "kernel_id": "44661813"}, {"ref": "lblhandsome/optiver-robust-best-single-model", "kernel_id": "44859056"}, {"ref": "vinitkp/r-eda-trading-close", "kernel_id": "44132492"}, {"ref": "lucasboesen/sample-submission-volume-levels", "kernel_id": "44096574"}, {"ref": "fxpustoch/optiver-eda-ytrain", "kernel_id": "44045966"}, {"ref": "heinzsch/optiver-2023-competition", "kernel_id": "44065787"}, {"ref": "phanttan/optiver-trading-at-the-close-introduction", "kernel_id": "44686956"}, {"ref": "lizijun1/trading-at-close", "kernel_id": "44433581"}, {"ref": "renatoreggiani/optv-automl-h2o", "kernel_id": "44066416"}, {"ref": "renatoreggiani/optv-linear-model", "kernel_id": "44309719"}, {"ref": "jaloeffe92/optiver-optimize-xgbregressor", "kernel_id": "44840837"}, {"ref": "jaloeffe92/optiver-fitting-lgbm", "kernel_id": "44926115"}, {"ref": "jaloeffe92/optiver-optimize", "kernel_id": "44886925"}, {"ref": "dorianglon/optiver-comp", "kernel_id": "44101959"}, {"ref": "lukablagoje/xgboost-pipeline", "kernel_id": "44756268"}, {"ref": "rohitdileep/ensemble-boost-gpu", "kernel_id": "44641941"}, {"ref": "saraqizhang/optiver-data-exploration", "kernel_id": "44789561"}, {"ref": "oluwatobibetiku/edaxe", "kernel_id": "44364063"}, {"ref": "bekhzodortikov/simple-baseline-xgboost-model-for-beginners", "kernel_id": "44683786"}, {"ref": "dangnguyen97/lgb-kf-with-optuna", "kernel_id": "44355565"}, {"ref": "dangnguyen97/ensemble-try-to-parameters", "kernel_id": "44554445"}, {"ref": "diegorestrepoleal/optiver-data-riew", "kernel_id": "44177929"}, {"ref": "abhijeetyv/data-exploration-benchmarking-optiver", "kernel_id": "44916030"}, {"ref": "melisaahinolu/tasar-m-2", "kernel_id": "44013344"}, {"ref": "miteshadake/lgb-baseline", "kernel_id": "44382328"}, {"ref": "willianpina/ead-explanations-conclusions", "kernel_id": "44927580"}, {"ref": "andrealunch/optiver-basic-eda", "kernel_id": "44617952"}, {"ref": "peizhengwang/optiv-try-an-simple-neural-network-with-keras", "kernel_id": "44172439"}, {"ref": "peizhengwang/feature-eng-memory-reduction-dataset", "kernel_id": "44399757"}, {"ref": "roshan81/eda-optiver", "kernel_id": "44539404"}, {"ref": "masterray/lgb-baseline", "kernel_id": "44431030"}, {"ref": "thetrueobserver/optiver-trading-at-the-close-eda", "kernel_id": "44055783"}, {"ref": "charlesndemo/charles-trading-at-the-close-introduction", "kernel_id": "44864088"}, {"ref": "yeoscar/basic-eda", "kernel_id": "44340045"}, {"ref": "leehomhuang/lgb-baseline-train", "kernel_id": "44307884"}, {"ref": "tsuyoshifujii/optiver-eda-and-baseline", "kernel_id": "44378791"}, {"ref": "aliakbarrzayev/notebooke9d4d5fed6", "kernel_id": "44083636"}, {"ref": "aliakbarrzayev/compet-vol1", "kernel_id": "44436914"}, {"ref": "aliakbarrzayev/beginner-notebook", "kernel_id": "44648058"}, {"ref": "chitaxiang/chita-s-eda-for-nasdaq-price-visualization", "kernel_id": "44121667"}, {"ref": "pranshubahadur/optiver-infer-sequential-revealed-date-ids", "kernel_id": "44782662"}, {"ref": "concyclics/pytorch-nn-purgedgrouptimeseriessplit-2daa79", "kernel_id": "44889606"}, {"ref": "siddhvr/optiver-trading-at-the-close-sub", "kernel_id": "44076773"}, {"ref": "yanliu1199/optiver-eda", "kernel_id": "44089683"}, {"ref": "vasiliiplotnikov/attempt0", "kernel_id": "44780168"}, {"ref": "hridaym25/very-basic-lgbm-regressor-optuna", "kernel_id": "44758277"}, {"ref": "cybersimar08/optiver-feature-eng-and-lgbm", "kernel_id": "44200677"}, {"ref": "mstrmnd1/optiver-exploratory", "kernel_id": "44018781"}, {"ref": "qijin1999/feature-engineering", "kernel_id": "44063013"}, {"ref": "iabdulw/optiver-us-stocks-closing-movement", "kernel_id": "44624770"}, {"ref": "lokeshanjaneya/notebookcc6237fff6", "kernel_id": "44006511"}, {"ref": "yuzhibobanban/fork-of-optiver-trading-at-the-close-eda", "kernel_id": "44175179"}, {"ref": "adamqvist/trading-at-the-close", "kernel_id": "44287757"}, {"ref": "romazbj/optiver-eda", "kernel_id": "44292270"}, {"ref": "ekaterinakryukova2/competition-optiver", "kernel_id": "44175094"}, {"ref": "archiecarpenter/multivariate-lstm-baseline", "kernel_id": "44703771"}, {"ref": "archiecarpenter/multivariate-multistep-transformer-model", "kernel_id": "44768549"}, {"ref": "archiecarpenter/baseline-lstm-not-submission-capable", "kernel_id": "44566727"}, {"ref": "archiecarpenter/time2vec-lstm-implementation", "kernel_id": "44963674"}, {"ref": "eishkaran/optiver-lgbm-optuna", "kernel_id": "44769561"}, {"ref": "saurabhru/optiver-trading-at-the-close", "kernel_id": "44006819"}, {"ref": "swarnasridhar045/optiver-prediction3", "kernel_id": "44088126"}, {"ref": "hanyuzhang12345/notebook2fa1693872", "kernel_id": "44113892"}, {"ref": "jmascacibar/handling-missing-values-an-exploration", "kernel_id": "44102007"}, {"ref": "alexandermurphy123/notebook3e09ce5c47", "kernel_id": "44718678"}, {"ref": "xuzn33/optiver-gpu-training", "kernel_id": "44648585"}, {"ref": "patricknortonmorenes/sarima-window-size-7-version-4", "kernel_id": "44890152"}, {"ref": "m280476pr/optiver-2023-trading-at-the-close2", "kernel_id": "44887430"}, {"ref": "imtommi/rolling-mean-closed-price", "kernel_id": "44154467"}, {"ref": "thedfdgdfgdfg/nb-trading", "kernel_id": "44345689"}, {"ref": "ashutoshtiwarisbu/tiwari-ashutosh-cse519-hw3-sub", "kernel_id": "44822349"}, {"ref": "robbiepasquale/opt-1", "kernel_id": "44375864"}, {"ref": "ruihaokaggle/lgb-kf-baseline", "kernel_id": "44568795"}, {"ref": "ruihaokaggle/catboost-kf-baseline", "kernel_id": "44681211"}, {"ref": "ruihaokaggle/lgb-baseline2", "kernel_id": "44678833"}, {"ref": "ruihaokaggle/data-analysis", "kernel_id": "44669287"}, {"ref": "ruihaokaggle/bridging-gaps-sectors-through-pca-submission", "kernel_id": "44976499"}, {"ref": "crazyfire238/xgboost-kf-baseline", "kernel_id": "44896646"}, {"ref": "janhavihsathe/optiver-2023-basic-submission-demo", "kernel_id": "44739829"}, {"ref": "goodyvesning/lgbm-opti", "kernel_id": "44965553"}, {"ref": "goodyvesning/3-lgbm-xgb-cat-3", "kernel_id": "44967729"}, {"ref": "goodyvesning/cvae-lstm-opti", "kernel_id": "44894256"}, {"ref": "goodyvesning/distributions-gauss", "kernel_id": "44727352"}, {"ref": "xquantum/pytorch-dnn", "kernel_id": "44497071"}, {"ref": "lunathanael/lgbm-test-submit", "kernel_id": "44976097"}, {"ref": "caoyimeng/optivertrading", "kernel_id": "44987907"}, {"ref": "alexryzhkov/get-kernels-stats-optiver-trading-at-the-close", "kernel_id": "45300356"}, {"ref": "jsmithperera/optv-lightgbm", "kernel_id": "45436528"}, {"ref": "nhsmith/ns-histgb-optimized-v1", "kernel_id": "45299920"}, {"ref": "chriscc/optiver-starter", "kernel_id": "45229949"}, {"ref": "chriscc/lagged-target-submission", "kernel_id": "45229008"}, {"ref": "usharengaraju/keras-saint-w-b", "kernel_id": "45080006"}, {"ref": "rickpack/time-series-xgboost-cross-validation", "kernel_id": "45176406"}, {"ref": "rickpack/multiple-linear-regression-forward-selection", "kernel_id": "45922960"}, {"ref": "rickpack/simple-linear-regression-optiver-close", "kernel_id": "45934070"}, {"ref": "jaybeeja/fastai-nn-baseline-with-feature-engineering", "kernel_id": "45269483"}, {"ref": "ibazhov/optiver-wap-target-correlation", "kernel_id": "45226703"}, {"ref": "verracodeguacas/xgboost-rollercoasting-the-rolling-features", "kernel_id": "45591956"}, {"ref": "verracodeguacas/orthogonal-microstructural-learning-via-polytope", "kernel_id": "45636357"}, {"ref": "onurrr90/enhance-default-feature-imbalance-buy-sell-flag", "kernel_id": "45830010"}, {"ref": "onurrr90/optiver-exploring-stock-correlations", "kernel_id": "45129905"}, {"ref": "yuqizheng/time-series-clustering-with-fda", "kernel_id": "45902716"}, {"ref": "bzeniti/simple-imputation-xgb-regressor", "kernel_id": "45644575"}, {"ref": "leonlxy/eda-feature-engineering", "kernel_id": "45048280"}, {"ref": "samye2000/make-it-3d-ready-to-batch-in-pytorch", "kernel_id": "45769561"}, {"ref": "vinitkp/optiver-simple-lgbm-for-beginner", "kernel_id": "45063459"}, {"ref": "jgolec/optiver-lightgbm-cv-rfe", "kernel_id": "45832951"}, {"ref": "heinzsch/challenger-optiver2023", "kernel_id": "45843503"}, {"ref": "luyutong/model-v2", "kernel_id": "45266539"}, {"ref": "fengshaodi/deep-learning-models", "kernel_id": "45642848"}, {"ref": "stpeteishii/optiver-trading-lgbm-with-optuna", "kernel_id": "45861473"}, {"ref": "stpeteishii/optiver-trading-xgb-with-optuna", "kernel_id": "45861624"}, {"ref": "stpeteishii/optiver-trading-catboost-with-optuna", "kernel_id": "45861628"}, {"ref": "maxim9012/optiver-trading-at-the-close", "kernel_id": "45022886"}, {"ref": "kjihwan/baseline-for-k-fold-validation-and-ensemble", "kernel_id": "45381718"}, {"ref": "jaloeffe92/optiver-2023-submission", "kernel_id": "45295725"}, {"ref": "jaloeffe92/optiver-fitting-xgb", "kernel_id": "45026648"}, {"ref": "perazza/sandbox-optiver-trading-at-the-close", "kernel_id": "45998868"}, {"ref": "nerooderschvank/notebook97b646298b", "kernel_id": "45466824"}, {"ref": "tihonby/work3-m3-regular-target-no-predict", "kernel_id": "45165312"}, {"ref": "tihonby/fork-of-work2-models3-mean-target", "kernel_id": "45179687"}, {"ref": "andyluo24/notebook8f695b8b1a", "kernel_id": "45939783"}, {"ref": "emilenikeev/lightgbm-baseline", "kernel_id": "45809709"}, {"ref": "dhruvjoshi892/optiver-trading-at-the-close", "kernel_id": "45659715"}, {"ref": "lukaszsztukiewicz/optiver-simple-lgbm-baseline-intro-notebook", "kernel_id": "45411921"}, {"ref": "jirkaborovec/optiver-gpu-speedsup-feature-eng-torch-dnn", "kernel_id": "45787569"}, {"ref": "jirkaborovec/optiver-features-torch-dnn-infer-tabnet", "kernel_id": "45863844"}, {"ref": "jirkaborovec/optiver-eda-pytorch-auto-regression", "kernel_id": "45410772"}, {"ref": "jirkaborovec/optiver-eda-baseline-xgb-regressor-gpu", "kernel_id": "45300118"}, {"ref": "muradmagdiyev/notebooka98552f1ff", "kernel_id": "45576642"}, {"ref": "arjuna111/optiver-feature-generation-and-xgb-baseline-gpu", "kernel_id": "45623404"}, {"ref": "propriyam/optiver-baseline", "kernel_id": "45288278"}, {"ref": "thomasmeiner/optiver-lgbm-optuna", "kernel_id": "45475591"}, {"ref": "bananavolumes/hoarders-ensemble", "kernel_id": "45197644"}, {"ref": "catherinefjohnson/optiver-2023-basic-with-clustering", "kernel_id": "45314066"}, {"ref": "andrealunch/stock-correlation", "kernel_id": "45169021"}, {"ref": "ttquang/lgbm-and-simple-feature-engineering", "kernel_id": "45454347"}, {"ref": "ramashisx/optiver-basic", "kernel_id": "45634557"}, {"ref": "nguyentuannguyen/optiver-stock-trading-dataset-lightgbm", "kernel_id": "45453971"}, {"ref": "tsuyoshifujii/predicts-if-target-is-positive-or-negative", "kernel_id": "45390789"}, {"ref": "sunghoshim/optiver-domain-knowledge-xgb-baseline-korean", "kernel_id": "45111922"}, {"ref": "iqmansingh/optiver-interactive-stock-price-analysis", "kernel_id": "45800668"}, {"ref": "iqmansingh/optiver-4-fold-time-series-split-ensemble", "kernel_id": "45794904"}, {"ref": "yizhimianyang/notebook3b931978af", "kernel_id": "45349062"}, {"ref": "yuanfanxu/tabnet", "kernel_id": "45576677"}, {"ref": "alinacram/torch-gru-optiver", "kernel_id": "45420639"}, {"ref": "alinacram/optiver-pytorch-regression", "kernel_id": "45052424"}, {"ref": "aniketkolte04/optiver-2023-eda-pytorch-lstm-attention-model", "kernel_id": "45794707"}, {"ref": "yeemeitsang/optiver-stock-movement-prediction", "kernel_id": "45299260"}, {"ref": "oudikissin/optiver-feature-eng", "kernel_id": "45085967"}, {"ref": "alexeyk12/prediction-of-missing-values", "kernel_id": "45637077"}, {"ref": "alexiapimentel/from-maes-to-money", "kernel_id": "45938154"}, {"ref": "enricomanosperti/optiver-trading-at-the-close", "kernel_id": "45172803"}, {"ref": "daiddy/optiver-basic", "kernel_id": "45170585"}, {"ref": "daiddy/optiver-dnn", "kernel_id": "45171245"}, {"ref": "huangweiran/optiver-tradingatclose-baseline", "kernel_id": "45329300"}, {"ref": "eishkaran/5-model-lgbm-ensemble", "kernel_id": "45754941"}, {"ref": "hasanyldiz/optiver-11", "kernel_id": "45128842"}, {"ref": "judith007/lb-5-3393-rapids-gpu-speeds-up-feature-engineer", "kernel_id": "45733028"}, {"ref": "mihailturlakov/optiver-auction-eda-dense-data-wap", "kernel_id": "45548196"}, {"ref": "wenxuanxx/faster-function-build-feature", "kernel_id": "45171113"}, {"ref": "hli111111/chao-detection-lyapunov-spetral-robustness-test", "kernel_id": "45393352"}, {"ref": "andreachello/time2vec-lstm-implementation", "kernel_id": "45077958"}, {"ref": "patricknortonmorenes/light-gbm-patrick-norton", "kernel_id": "45437170"}, {"ref": "tenghewang/stock-lgbm", "kernel_id": "45511816"}, {"ref": "chinzorigtganbat/feature-generation-technical-analysis-functions", "kernel_id": "45900149"}, {"ref": "ruihaokaggle/mlp-baseline", "kernel_id": "45264275"}, {"ref": "ruihaokaggle/1dcnn-baseline", "kernel_id": "45276189"}, {"ref": "ruihaokaggle/autoencoder-mlp-baseline2", "kernel_id": "45934234"}, {"ref": "princeofslaanesh/optiver-eda", "kernel_id": "45307392"}, {"ref": "lukasott/notebookba73d97eb2", "kernel_id": "45767318"}, {"ref": "chengmoshun/macd-optiver", "kernel_id": "45560350"}, {"ref": "goodyvesning/vae-optvr", "kernel_id": "45516466"}, {"ref": "goodyvesning/multi-lstm-dense", "kernel_id": "45516502"}, {"ref": "goodyvesning/vae-1", "kernel_id": "45594833"}, {"ref": "goodyvesning/cvae-2-models-lgbm", "kernel_id": "45783710"}, {"ref": "goodyvesning/rapids", "kernel_id": "45821781"}, {"ref": "lunathanael/submit-data-exploration", "kernel_id": "45887458"}, {"ref": "wenpeiyan/notebook0a6eb02c9d", "kernel_id": "45954719"}, {"ref": "re6125015ncku/final-test", "kernel_id": "45872379"}, {"ref": "nick16951/submission-csv", "kernel_id": "45653030"}, {"ref": "yuhotsang/baseline", "kernel_id": "45671504"}, {"ref": "ppyzou/try-parallel", "kernel_id": "45364482"}, {"ref": "nimojjangd/notebook72fe65da9c", "kernel_id": "45747397"}, {"ref": "sachakli/baseline-lgb-xgb-and-catboost", "kernel_id": "45689205"}, {"ref": "ampires/example-with-lr-in-phyton", "kernel_id": "46940965"}, {"ref": "nhsmith/optiver-catboost-with-feature-selection", "kernel_id": "46431411"}, {"ref": "nhsmith/catboost-optimized-w-feats", "kernel_id": "46434389"}, {"ref": "nhsmith/optiver-catboost-tuning-w-optuna", "kernel_id": "46530757"}, {"ref": "nhsmith/optiver-tuning-hgbm-w-successive-halving", "kernel_id": "46952884"}, {"ref": "rickpack/linear-regression-backward-selection", "kernel_id": "46777511"}, {"ref": "youwbpyr/train-t4-attention-seq2seq-rnn", "kernel_id": "46485158"}, {"ref": "whitgroves/k-fold-time-series-split-w-selective-ensemble", "kernel_id": "46141181"}, {"ref": "verracodeguacas/xgboost-lightgbm-order-book-fusion-cpu", "kernel_id": "46379632"}, {"ref": "verracodeguacas/rapids-installer", "kernel_id": "46463314"}, {"ref": "verracodeguacas/support-vector-machines-through-rapids", "kernel_id": "46465151"}, {"ref": "yekenot/feature-elimination-by-catboost", "kernel_id": "46074788"}, {"ref": "sohier/optiver-2023-api-dtypes", "kernel_id": "46579847"}, {"ref": "alecwayne/alec-test-catboost", "kernel_id": "46109184"}, {"ref": "shuthdar/reproducing-a-submission-scoring-error", "kernel_id": "46619131"}, {"ref": "robotmf/rapids-cudf-example-install", "kernel_id": "46239712"}, {"ref": "lognorm/de-anonymizing-stock-id", "kernel_id": "46891797"}, {"ref": "stpeteishii/optiver-trading-ensemble", "kernel_id": "46463340"}, {"ref": "gunesevitan/optiver-trading-at-the-close-inference", "kernel_id": "46025449"}, {"ref": "artamaney/optiver-simple-mra", "kernel_id": "46266563"}, {"ref": "kroha5/optiver-eda", "kernel_id": "46454498"}, {"ref": "kaushal1011/optiver-trading-at-the-close", "kernel_id": "46158312"}, {"ref": "johnsonhk88/lstm-with-targets-as-sole-features", "kernel_id": "46705748"}, {"ref": "andyluo24/sectors-industries-fiesta-pca-magic", "kernel_id": "46435358"}, {"ref": "lukaszsztukiewicz/ml-in-timeseries-feature-engineering", "kernel_id": "46701774"}, {"ref": "jirkaborovec/optiver-feature-eng-optuna-lightgbm-gpu", "kernel_id": "46617838"}, {"ref": "jirkaborovec/optiver-features-torch-dnn-infer-tabular", "kernel_id": "46083904"}, {"ref": "shubhamcodez/data-imputation", "kernel_id": "46831034"}, {"ref": "shubhamcodez/exploring-the-relation-between-wap-and-target", "kernel_id": "46767688"}, {"ref": "skanderhaddad/pip-install-once", "kernel_id": "46100453"}, {"ref": "skanderhaddad/install-python-packages-without-internet-access", "kernel_id": "46100370"}, {"ref": "arjuna111/optimer-time-series-forecasting-with-sarimax", "kernel_id": "46117890"}, {"ref": "thomasmeiner/optiver-800-pipelines-at-once", "kernel_id": "46543759"}, {"ref": "yangkenwu/ml-ts-stock-eda-baseline", "kernel_id": "46610430"}, {"ref": "shadeer/trading-at-the-close", "kernel_id": "46200876"}, {"ref": "yinn94/stock-prediction", "kernel_id": "46289984"}, {"ref": "shionpavlichenko/predict-wap-t-60-s-and-then-compute-the-target", "kernel_id": "46528482"}, {"ref": "dejf99/dif-stoch-eq", "kernel_id": "46759324"}, {"ref": "sunghoshim/optiver-cross-validation-strategies", "kernel_id": "46564123"}, {"ref": "sunghoshim/optiver-checking-feature-importance", "kernel_id": "46273384"}, {"ref": "inuinuinu/simplest-lightgbm-prediction", "kernel_id": "46384021"}, {"ref": "ameyck/optiver-trading", "kernel_id": "46304662"}, {"ref": "donshler/fork-of-autoencoder-lightgbm", "kernel_id": "46604844"}, {"ref": "imnandini/trading-at-the-close", "kernel_id": "46180931"}, {"ref": "esabellechen/trading-at-the-close-pca-lr", "kernel_id": "46237186"}, {"ref": "mstrmnd1/clfreg", "kernel_id": "46285332"}, {"ref": "mstrmnd1/time-series-exploratory", "kernel_id": "46329155"}, {"ref": "mstrmnd1/error-quality-of-fit-and-outliers", "kernel_id": "46321582"}, {"ref": "mstrmnd1/naive-meow", "kernel_id": "46517886"}, {"ref": "nicholastidwell/eel-project", "kernel_id": "46001502"}, {"ref": "avineshkrishnan/avinesh-optiver", "kernel_id": "46090123"}, {"ref": "rajpmehta/cs-514-applied-ai-project-4", "kernel_id": "46269923"}, {"ref": "rajpmehta/cs-514-project-4-data-viz-and-model-analysis", "kernel_id": "46283290"}, {"ref": "akramguerchali/linear-regression", "kernel_id": "46365803"}, {"ref": "tianyipan123/lightgbm-stacking", "kernel_id": "46007284"}, {"ref": "dasbro/optiver-lgbm-single-baseline", "kernel_id": "46607693"}, {"ref": "zhangqubai/simple-transformer-optiver-trading-at-the-close", "kernel_id": "46139789"}, {"ref": "bhanupratapbiswas/optiver-trading-at-the-close-10", "kernel_id": "46877722"}, {"ref": "palajnc/v8-optiver-train", "kernel_id": "46748003"}, {"ref": "palajnc/fold-cv-10-splits-pow-mean", "kernel_id": "46986190"}, {"ref": "juzehao/pytorch-dnn-e010c9", "kernel_id": "46620193"}, {"ref": "chinzorigtganbat/votingregressor-boosters", "kernel_id": "46920050"}, {"ref": "chinzorigtganbat/gpu-utilization-for-rolling-features", "kernel_id": "46683548"}, {"ref": "ruihaokaggle/simple-transformer-optiver-trading-at-the-close", "kernel_id": "46260753"}, {"ref": "yichengqian22/nsf-optiver", "kernel_id": "46412346"}, {"ref": "kemaug/explain-the-data-lightgbm-baseline-72050b", "kernel_id": "46127955"}, {"ref": "lukasott/time-series-clustering-with-fda", "kernel_id": "46316736"}, {"ref": "goodyvesning/vae-gp-optvr", "kernel_id": "46471009"}, {"ref": "goodyvesning/3-lgbm-xgb-cat-opti-cvae", "kernel_id": "46818523"}, {"ref": "goodyvesning/keras-xgb-opti", "kernel_id": "46902697"}, {"ref": "xiaochangzhang/time-series-xgboost-cross-validation", "kernel_id": "46333601"}, {"ref": "emiliojohn/optiver-2023-basic-submission-demo-fe122b", "kernel_id": "46523796"}, {"ref": "emiliojohn/final", "kernel_id": "46537389"}, {"ref": "wenpeiyan/notebookdd2b94dac3", "kernel_id": "46388846"}, {"ref": "wenpeiyan/notebookda02c82882", "kernel_id": "46280404"}, {"ref": "re6125015ncku/catboost", "kernel_id": "46720785"}, {"ref": "nimojjangd/fork-of-notebook78721b4f44", "kernel_id": "46362102"}, {"ref": "nimojjangd/notebook78721b4f44", "kernel_id": "46357547"}, {"ref": "jorgearreserodriguez/lstm-with-simplified-feature-engineering", "kernel_id": "46619417"}, {"ref": "malezhi/optiver-trading-at-the-close-introduction", "kernel_id": "46841830"}, {"ref": "nhsmith/optiver-tuning-catboost-hypahparametahzzz", "kernel_id": "47486927"}, {"ref": "nimashahbazi/optiver-conv-just-imb-inference-cleanup", "kernel_id": "47989127"}, {"ref": "nimashahbazi/optiver-no-fe-lstm-inference-cleanup", "kernel_id": "47988644"}, {"ref": "rickpack/vif-based-predictor-removal", "kernel_id": "47194854"}, {"ref": "kingychiu/date-ids-to-calendar-dates", "kernel_id": "47053000"}, {"ref": "kingychiu/generate-iter-dataset-for-train", "kernel_id": "47979495"}, {"ref": "kingychiu/run-train-data-with-api", "kernel_id": "47981891"}, {"ref": "aspillai/optiver-xgb-model-predictions", "kernel_id": "47763553"}, {"ref": "aspillai/optiver-predictions-xgb-lgb", "kernel_id": "47998367"}, {"ref": "devanshu125/optiver-add-stock-cluster-sector-5fcv-v2", "kernel_id": "47536360"}, {"ref": "devanshu125/optiver-add-stock-cluster-sector-5fcv-v2-inf", "kernel_id": "47542676"}, {"ref": "alecwayne/optiver-catboost-with-feature-select-04a8f5", "kernel_id": "47421545"}, {"ref": "mohammed008/lr-knn-xgb-sv-with-proper-time-series-splitting", "kernel_id": "47450559"}, {"ref": "kononenko/tuned-lgbm-best-public-score", "kernel_id": "47586304"}, {"ref": "luyf200/optiver-trading-at-the-close-eda", "kernel_id": "47482049"}, {"ref": "acelhaka/optiver-catboost-with-feature-select-04a8f5", "kernel_id": "47518578"}, {"ref": "manikantasanjayv/optiver-xgboost", "kernel_id": "47168881"}, {"ref": "manikantasanjayv/optiver-with-feature-selection", "kernel_id": "47166897"}, {"ref": "kieranyogaraj/optiver-trading-at-the-close-time-series", "kernel_id": "47568919"}, {"ref": "jirkaborovec/optiver-pipe-2-3-lightgbm-regression", "kernel_id": "47452016"}, {"ref": "jirkaborovec/optiver-pipe-1-3-eda-feature-eng", "kernel_id": "47393903"}, {"ref": "jirkaborovec/optiver-pipe-2-3-xgboost-regression", "kernel_id": "47398209"}, {"ref": "jirkaborovec/optiver-pipe-3-3-ensemble-inference", "kernel_id": "47156657"}, {"ref": "jirkaborovec/optiver-pipe-2-3-pycaret-regression", "kernel_id": "47787337"}, {"ref": "thtuan/notebookfa30e29898", "kernel_id": "47538805"}, {"ref": "yeoyunsianggeremie/14th-place-submission-with-zero-sum", "kernel_id": "47914186"}, {"ref": "rickypang/newbie-in-ds-feature-engineering-catboost", "kernel_id": "47391111"}, {"ref": "muhammadammarjamshed/prediction-of-close-prices", "kernel_id": "47798151"}, {"ref": "thelazyaz/trying-scaling-features-on-best-performing-model", "kernel_id": "47862840"}, {"ref": "thomasmeiner/optiver-bluecast-automl", "kernel_id": "47226314"}, {"ref": "quanganh27th/tuned-lightgbm-best-public-score", "kernel_id": "47671424"}, {"ref": "wuufunnn/optiver-sub1-1212", "kernel_id": "47672271"}, {"ref": "rishi199001/mykaggle1209", "kernel_id": "47527392"}, {"ref": "nortontok/optiver-targe-prediction", "kernel_id": "47218391"}, {"ref": "andrealunch/20th-place-submission", "kernel_id": "47580088"}, {"ref": "oolongtea87/optiver-multi-model-baseline", "kernel_id": "47057608"}, {"ref": "oolongtea87/optiver-sub-of-baseline-submission-testing", "kernel_id": "47018148"}, {"ref": "oolongtea87/baseline-feature-optuna", "kernel_id": "47121670"}, {"ref": "peizhengwang/best-public-score", "kernel_id": "47355550"}, {"ref": "squarehare/short-code-pytorch-multivariate-lstm-model", "kernel_id": "47997946"}, {"ref": "baobach/optiver-cqf-team", "kernel_id": "47032892"}, {"ref": "eunjunglee2/optiver-trading-at-the-close-leeds", "kernel_id": "47296538"}, {"ref": "wksdnr123/ver-optiver-trading-at-the-close-introduction", "kernel_id": "47095159"}, {"ref": "yenpo21chen/lightgbm-baseline-lgbmregressor", "kernel_id": "47914719"}, {"ref": "karlpetz/fin-mod-notebook", "kernel_id": "47050674"}, {"ref": "salbeal94/optiver-trading-at-the-close-quick-starter", "kernel_id": "47601644"}, {"ref": "takumuwakamatsu/optiver-wakama1994-5-model-lgbm-ensemble", "kernel_id": "47792825"}, {"ref": "ravi20076/optiver-submission-rank14", "kernel_id": "47849230"}, {"ref": "clairejliu/rnnepoch10", "kernel_id": "47333862"}, {"ref": "tkwsean/notebook9405b9bc97", "kernel_id": "47500059"}, {"ref": "lukgaleta/xgboost-outlier-identification-and-stacking", "kernel_id": "47984794"}, {"ref": "sunghoshim/ta-lib-and-groupby", "kernel_id": "47611444"}, {"ref": "sunghoshim/optiver-feature-engineering-with-ta-lib", "kernel_id": "47157329"}, {"ref": "qianmulin/optiver-trading-at-the-close-bronze", "kernel_id": "47862802"}, {"ref": "pranshubahadur/optiver-train-sequential-date-ids-revealed", "kernel_id": "47081461"}, {"ref": "pranshubahadur/optiver-train-sequential-revealed-date-ids", "kernel_id": "47081586"}, {"ref": "raviiloveyou/notebook6190a2adca", "kernel_id": "47766459"}, {"ref": "hallojong0319/optiver-ensemble-super-learner-nn", "kernel_id": "47743767"}, {"ref": "patrico49/optiver-final-submission", "kernel_id": "47676170"}, {"ref": "mstrmnd1/exhaust-cat", "kernel_id": "47215913"}, {"ref": "f64096067/notebook6346f4d139", "kernel_id": "47232636"}, {"ref": "yongsukprasertsuk/fold-cv-10-splits-mod-weights", "kernel_id": "47156646"}, {"ref": "joejjjj/new-lgbm1", "kernel_id": "47219583"}, {"ref": "p76113028/pytorch-nn-purged-group-time-series-split", "kernel_id": "47582415"}, {"ref": "huangweiran/5-fold-cv", "kernel_id": "47130285"}, {"ref": "r26111052/optiver-lightgbm-mean", "kernel_id": "47697530"}, {"ref": "flashgamezzz/ml-for-financial-markets-vip-xgboost-notebook", "kernel_id": "47140730"}, {"ref": "antoniopantang/demo1", "kernel_id": "47221118"}, {"ref": "antoniopantang/linear-regression-w-o-time-step", "kernel_id": "47264327"}, {"ref": "wasjaip/rapids-installer", "kernel_id": "47518113"}, {"ref": "wasjaip/fork-of-support-vector-machines-through-rapid", "kernel_id": "47901933"}, {"ref": "ananyakrishnan4/optiver", "kernel_id": "47360824"}, {"ref": "wangbingqian/succeed-12-2", "kernel_id": "47171832"}, {"ref": "wuhongrui/notebookfa97e29498", "kernel_id": "47736400"}, {"ref": "palajnc/v15-optiver-train", "kernel_id": "47982484"}, {"ref": "juzehao/pure-submit-12-13", "kernel_id": "47756529"}, {"ref": "qamarmath/fork-of-lgb-xgb-and-catboost-using-in-very-simpe", "kernel_id": "47601759"}, {"ref": "seethalbs/optiver-trading-at-the-closenotebook167a36caa7", "kernel_id": "47410547"}, {"ref": "august33rd/finalproject", "kernel_id": "47180017"}, {"ref": "kaihuazhong/final-attempt", "kernel_id": "47967585"}, {"ref": "ebrunazayis/data-head-b-l-nmesi", "kernel_id": "47077635"}, {"ref": "ebrunazayis/extensive-eda-kopya-etruscai", "kernel_id": "47194016"}, {"ref": "ebrunazayis/introduction-and-explore-data-analysis", "kernel_id": "47194034"}, {"ref": "ebrunazayis/xgboost-kopya-kod-terc-mesi", "kernel_id": "47373281"}, {"ref": "joelprezizquierdo/optiver-trading-at-the-close-quick-starter", "kernel_id": "47892829"}, {"ref": "re6125015ncku/lightgbm", "kernel_id": "47701891"}, {"ref": "thomasgaehtgens/catboosting-optiver", "kernel_id": "47350540"}, {"ref": "boyangwong0624/fork-of-optiver-robust-best-single-model", "kernel_id": "47281223"}, {"ref": "ivanweissvanderpol/testfile", "kernel_id": "47604769"}, {"ref": "kristin0119/lgbm-starting-prototype", "kernel_id": "47431374"}, {"ref": "jorgearreserodriguez/gru-with-simplified-feature-engineering", "kernel_id": "47189931"}, {"ref": "caspianzero/caspianzero-trading-at-the-close-sub", "kernel_id": "47947005"}, {"ref": "philpusnaveed/fold-cv-10-splits-mod-weights", "kernel_id": "47439711"}, {"ref": "philpusnaveed/fold-cv-10-splits-row-mean", "kernel_id": "47227722"}, {"ref": "mushinw/tuned-lightgbm-best-public-score", "kernel_id": "47773596"}, {"ref": "cl12102783/big-common-feature-improvement-by-simple-changes", "kernel_id": "48183203"}, {"ref": "aspillai/optiver-predictions-zerosum", "kernel_id": "48116709"}, {"ref": "heinzsch/optiver2023-inference-submit-1", "kernel_id": "48150930"}, {"ref": "zhongdingyan/tuned-lightgbm-best-public-score", "kernel_id": "48137927"}, {"ref": "yitaoyu/optiver-training1", "kernel_id": "48069374"}, {"ref": "yitaoyu/optiver-submission0-lightgbmwfeatures", "kernel_id": "48139951"}, {"ref": "dagobertopanassol/optiver-pycaret-submit1-dago", "kernel_id": "48104704"}, {"ref": "eunjunglee2/xgboost-regressor-scaling", "kernel_id": "48314315"}, {"ref": "annettazheng/optiver-2023", "kernel_id": "48029039"}, {"ref": "sunghoshim/inspect-a-dataframe", "kernel_id": "48108961"}, {"ref": "deeparker/optiver-model-comparison-and-ensemble", "kernel_id": "48096160"}, {"ref": "crsuthikshnkumar/optiver2023-comp-nb-nfmt-crsk", "kernel_id": "48104330"}, {"ref": "honcylee/optiva-thoughts-after-competition", "kernel_id": "48173229"}, {"ref": "hallojong0319/optiver-ensemble-superlearner-linear", "kernel_id": "48032333"}, {"ref": "franklin1021/lstm-train-inference", "kernel_id": "48204821"}, {"ref": "somy2022/ml-model-optiver-trading-at-the-close", "kernel_id": "48270790"}, {"ref": "wuhongrui/public-5-3227-lgbm-catboost-with-online-learning", "kernel_id": "48148681"}, {"ref": "billalpervaz/decisiontreeregressor-vs-xgbregressor", "kernel_id": "48011860"}, {"ref": "dragon54/lstmwithoutapi", "kernel_id": "48049007"}, {"ref": "srilokeshreddy/notebookb1d954ed99", "kernel_id": "48088238"}, {"ref": "srilokeshreddy/notebookfa52dbf6c3", "kernel_id": "48140634"}, {"ref": "thomasgaehtgens/linear-models-submission-optiver", "kernel_id": "48047119"}, {"ref": "tumism/lightgbm", "kernel_id": "48691923"}, {"ref": "mushinw/public-5-3227-lgbm-catboost-with-online-learning", "kernel_id": "48154664"}, {"ref": "kingychiu/forecast-leaderboard-change-over-time", "kernel_id": "49565823"}, {"ref": "dp1500/lgbm-based-closing-stock-price-predictions", "kernel_id": "49846116"}, {"ref": "aliakbarrzayev/tasar-m-2-optivier-trading-at-close", "kernel_id": "49427350"}, {"ref": "tacitushuang/efficient-feature-engineering-robust-models", "kernel_id": "49455332"}, {"ref": "palajnc/optiver-inference-best-lb", "kernel_id": "50336608"}, {"ref": "billalpervaz/regression-on-target", "kernel_id": "50550359"}, {"ref": "rishimsingh/optiver-2", "kernel_id": "50572010"}, {"ref": "serhiikharchuk/lightgbm-xgboost-catboost", "kernel_id": "52186081"}, {"ref": "serhiikharchuk/train-colab-lgbmregressor-xgbregressor-catboostreg", "kernel_id": "52181932"}, {"ref": "hookman/9th-submission", "kernel_id": "53405743"}, {"ref": "brianalvarez/brian-optiver", "kernel_id": "53418503"}, {"ref": "cody11null/14th-place-gold-cat-lgb-refit", "kernel_id": "53216458"}, {"ref": "achrafzhar/predict-us-stocks-closing-movements", "kernel_id": "53633480"}, {"ref": "shituli/optiver-trade-at-close", "kernel_id": "53365022"}, {"ref": "aikhmelnytskyy/autogluon-gpu", "kernel_id": "54090883"}, {"ref": "aikhmelnytskyy/autogluon-cpu", "kernel_id": "54050386"}, {"ref": "nextnlp/optiver-baseline-models", "kernel_id": "54420367"}, {"ref": "nishimoto/opt23-makedeco-cat-add-data", "kernel_id": "56416675"}, {"ref": "nishimoto/opt23-makedeco-lgb-add-data", "kernel_id": "56389339"}, {"ref": "noahclark01/optiver-trading-at-the-close", "kernel_id": "56442669"}, {"ref": "santoshbikkina/csc402-final-exam", "kernel_id": "56156036"}, {"ref": "santoshbikkina/final-test", "kernel_id": "56161452"}, {"ref": "exitof/sb-final-csc-402", "kernel_id": "56156024"}, {"ref": "megdalia/mb-advancedai-final", "kernel_id": "56156051"}, {"ref": "nishimoto/opt23-makedeco-eda", "kernel_id": "57497805"}, {"ref": "nishimoto/opt23-makedeco-lgb-transformer", "kernel_id": "57257508"}, {"ref": "mouadaithammou/us-stocks-closing-movements", "kernel_id": "58078964"}, {"ref": "mohamedmetwallly/submission-csv", "kernel_id": "58391730"}, {"ref": "yuwenzhong/code-mlp", "kernel_id": "60702802"}, {"ref": "yuwenzhong/code-rnn", "kernel_id": "60631063"}, {"ref": "yuwenzhong/code-lstm-1", "kernel_id": "60686242"}, {"ref": "kirill0212/optiver2023", "kernel_id": "62439941"}, {"ref": "adamqvist/trading", "kernel_id": "62764441"}, {"ref": "alexandrelemercier/all-best-tabular-classifiers-comparative-study", "kernel_id": "65430377"}, {"ref": "yangxu324/optiver-mycode-xy", "kernel_id": "66926634"}, {"ref": "dingsta/fork-of-compotition", "kernel_id": "66200779"}, {"ref": "lyccc0210/feature", "kernel_id": "69056758"}, {"ref": "ranenchen/notebook49d7333d39", "kernel_id": "69034464"}, {"ref": "hollylin/notebook963ab52ba7", "kernel_id": "72158628"}, {"ref": "srinivasaraobittla/optiver-2023-basic-submission-demo", "kernel_id": "74186573"}, {"ref": "williamyuanzhao/optiver-using-light-bgm", "kernel_id": "79588261"}, {"ref": "weizhengchoo/optiver-trading-at-the-close", "kernel_id": "80221734"}, {"ref": "yutangxie/notebook8b80677c8c", "kernel_id": "80735172"}, {"ref": "nathanli18/optiver-2023-basic-submission-demo", "kernel_id": "80732247"}, {"ref": "yutangxie/example-submission-v1", "kernel_id": "81187960"}, {"ref": "ashleyzuo0126/optiver-simplelgbm", "kernel_id": "81341945"}, {"ref": "lykin22/catboost-gru-lstm-predictive-001-submission", "kernel_id": "82151086"}, {"ref": "meiguoren/gulee-optiver-experimental1", "kernel_id": "83138876"}, {"ref": "yusefkaggle/optiver-5th-place", "kernel_id": "84227198"}, {"ref": "jihslu/optiver-trading-notebook", "kernel_id": "85744778"}, {"ref": "yokoinaba/catboost-gru-lstm-predictive-001-submission", "kernel_id": "86876695"}, {"ref": "msu112203/ai-week-final-presentation-veer-md-gohil", "kernel_id": "87233141"}, {"ref": "msu112203/ai-week-presentation", "kernel_id": "87173966"}, {"ref": "yi184527/demo1", "kernel_id": "87201603"}, {"ref": "veers431/notebook9ece28353e", "kernel_id": "87143428"}, {"ref": "jeffyangggg/optiver-2023", "kernel_id": "88311779"}, {"ref": "z87plasma/optiver-trading-at-the-close-competition", "kernel_id": "91137065"}, {"ref": "imanghotbi/optiver-notebook", "kernel_id": "95752271"}, {"ref": "bakhtiyartemirov/math5470-huang-temirov-project2", "kernel_id": "103541223"}, {"ref": "xiweima/optiver", "kernel_id": "104410090"}, {"ref": "zimmerman1023/optiver-first-commit-with-xgb-lgb", "kernel_id": "105613730"}, {"ref": "xulinliao/optiver-trading-at-the-close", "kernel_id": "114058186"}, {"ref": "paulzhang15/optiver-2023-basic-submission-demo", "kernel_id": "118533764"}, {"ref": "juansanchez4561/optiver-analitica-and-resolution", "kernel_id": "119730772"}, {"ref": "eliansun127/optiver-trading-at-the-close-final-submission", "kernel_id": "120402215"}, {"ref": "qqqaaavvv/optiver-2023-basic-submission-demo", "kernel_id": "129288030"}, {"ref": "sidharthmurali1/optiver-closing-cross-microstructure-alpha", "kernel_id": "132201724"}, {"ref": "shaury4/research-notebook", "kernel_id": "135136397"}]}
{"competition_id": "57930", "kernels": [{"ref": "lbugnon/tutorial", "kernel_id": "42833096"}, {"ref": "haneenhossam/eeg-classification-using-3-models", "kernel_id": "54483807"}]}
{"competition_id": "57932", "kernels": []}
{"competition_id": "57988", "kernels": [{"ref": "plarmuseau/getting-started-h20", "kernel_id": "41390797"}, {"ref": "duxredux/histgradientboostregress-self-selected-parameters", "kernel_id": "41511576"}, {"ref": "abaloamar/air-toxic-predictions", "kernel_id": "48973699"}, {"ref": "yazanelmiqati/air-pollution-respiratory-disease-prediction", "kernel_id": "104815696"}]}
{"competition_id": "57991", "kernels": []}
{"competition_id": "57993", "kernels": []}
{"competition_id": "58084", "kernels": []}
{"competition_id": "58150", "kernels": [{"ref": "cesarrrr/alicorp-multi-label-tf-model", "kernel_id": "41710593"}, {"ref": "diegofloresi/datathon-alicorp", "kernel_id": "41714870"}, {"ref": "paulvillagra/codepvh53-001", "kernel_id": "41738259"}, {"ref": "icfstat/target-usando-2-semanas", "kernel_id": "42336824"}, {"ref": "icfstat/heuristica-recomendacion", "kernel_id": "42337092"}]}
{"competition_id": "58208", "kernels": [{"ref": "kishore3914/purchase-session-classifier", "kernel_id": "42652782"}]}
{"competition_id": "58211", "kernels": []}
{"competition_id": "58255", "kernels": [{"ref": "patrick0302/all-zeros-submission", "kernel_id": "44754296"}, {"ref": "patrick0302/weekly-median-submission", "kernel_id": "44754486"}, {"ref": "fiftythirtyfour/batteries", "kernel_id": "45089713"}, {"ref": "annielott/battery-forecasting", "kernel_id": "45622755"}, {"ref": "mariopoolman/presentation-notebook-eso-hackathon", "kernel_id": "50029515"}, {"ref": "swatiguptaiitk/eso-battery", "kernel_id": "69828044"}, {"ref": "deepthivj/eso-battery", "kernel_id": "133156491"}]}
{"competition_id": "58260", "kernels": [{"ref": "lennarthaupts/predicting-important-customers", "kernel_id": "41566811"}, {"ref": "kentak0928/host-quick-eda-1-0-who-are-important-to-us", "kernel_id": "41541628"}, {"ref": "kentak0928/host-baseline-lightgbm-who-are-important-to-us", "kernel_id": "41540410"}, {"ref": "ainocapm/eda-data-duplication", "kernel_id": "41548895"}, {"ref": "farshidhossain68/customer-classification-code-with-ml-models", "kernel_id": "41543677"}, {"ref": "dheerajgupta5680/cnn-accuracy-82", "kernel_id": "41844261"}, {"ref": "nyahomaru/xgbt-with-r", "kernel_id": "42090856"}, {"ref": "matakaggle/lightgbm-0-82540", "kernel_id": "43165292"}, {"ref": "yoshimanaminorisa/simple-eda-01-who-are-important-to-us", "kernel_id": "43243345"}, {"ref": "yunsuxiaozi/who-are-our-important-customer-last-submission", "kernel_id": "44904727"}]}
{"competition_id": "58266", "kernels": [{"ref": "robikscube/thinking-fast-slower-runtime-predictions", "kernel_id": "42628354"}, {"ref": "seshurajup/ai-model-baseline-github-code-train-on-kaggle", "kernel_id": "42608733"}, {"ref": "sathanandh/notebook4070befba0", "kernel_id": "42630014"}, {"ref": "rishabh15virgo/score-0-162-understand-data-eda-model-tile-xla", "kernel_id": "42828118"}, {"ref": "rishabh15virgo/first-impression-understand-data-eda-baseline-15", "kernel_id": "42663945"}, {"ref": "stpeteishii/npz-data-structure", "kernel_id": "42662324"}, {"ref": "ksmcg90/torchmetrics-for-tile", "kernel_id": "42749947"}, {"ref": "mpwolke/alice-in-the-wonder-tpu-kaggleland", "kernel_id": "42608576"}, {"ref": "markwijkhuizen/ai-model-runtime-eda-dataset", "kernel_id": "42784148"}, {"ref": "aliabdin1/how-does-quantization-work", "kernel_id": "42692393"}, {"ref": "isakatsuyoshi/initial-submission-for-google-fast-or-slow", "kernel_id": "42609704"}, {"ref": "isakatsuyoshi/initial-eda-for-google-fast-or-slow-start-small", "kernel_id": "42608844"}, {"ref": "abaojiang/google-fast-or-slow-detailed-eda", "kernel_id": "42752987"}, {"ref": "dariussingh/understand-evaluation-metrics-google-fast-or-slow", "kernel_id": "42629905"}, {"ref": "dariussingh/paper-summary-baseline-google-fast-or-slow", "kernel_id": "42666629"}, {"ref": "ayushagarwal7871/ai-model-fast-or-slow", "kernel_id": "42637837"}, {"ref": "satyaprakashshukl/eda-predict-ai-model-runtime", "kernel_id": "42711057"}, {"ref": "carlosborrajo/google-fast-or-slow-eda-and-data-load", "kernel_id": "42605836"}, {"ref": "chiragchetnani/understanding-the-competetion", "kernel_id": "42611107"}, {"ref": "ayushs9020/understanding-the-competition-google-slow-vs-fast", "kernel_id": "42609663"}, {"ref": "yinankaggle/improved-tile-xla-end-to-end-submission", "kernel_id": "42778702"}, {"ref": "werus23/tile-xla-end-to-end-train-infer", "kernel_id": "42641580"}, {"ref": "chenboluo/tile-xla-end-to-end-train-infer-slight-change", "kernel_id": "42885034"}, {"ref": "chenboluo/layout-nlp-default-train-and-infer", "kernel_id": "42892125"}, {"ref": "sourabhsingh03993493/submission-with-one-epoch", "kernel_id": "42770748"}, {"ref": "giriprasad512/google-fast-or-slow-s", "kernel_id": "42643914"}, {"ref": "josh951/ai-model-runtime-base", "kernel_id": "42674921"}, {"ref": "amaanfaheem/google-fast-or-slow-predict-ai-model-runtime", "kernel_id": "42870855"}, {"ref": "chrisk321/fast-or-slow-initial-eda-submission-in-r", "kernel_id": "42620797"}, {"ref": "jainam213/0-97val0-12lb", "kernel_id": "42659069"}, {"ref": "ashishjagdishsharma/fast-and-furious", "kernel_id": "42619126"}, {"ref": "nithinreddy90/google-fast-or-slow", "kernel_id": "42825453"}, {"ref": "sowmyasamantula/first-impression-understand-data-eda-baseline-15", "kernel_id": "42871385"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "jasonheesanglee/checking-keys-and-values-all-file", "kernel_id": "42607835"}, {"ref": "sreekanthpolu/google-fast-or-slow-submission", "kernel_id": "42780636"}, {"ref": "vivid0317/myown-mobile", "kernel_id": "42753030"}, {"ref": "amhajavi/understanding-the-runtimes-and-their-ranges", "kernel_id": "43739909"}, {"ref": "zshao9/2023-09-13-xla-training", "kernel_id": "43075424"}, {"ref": "uagree/google-predict-ai-runtime-jw", "kernel_id": "43010671"}, {"ref": "ksmcg90/torchmetrics-for-kendaltau", "kernel_id": "43151556"}, {"ref": "ksmcg90/bertlike-gat-tile-wlayout-dataset", "kernel_id": "43150429"}, {"ref": "dangnguyen97/lb-0-193-bertlike-gat-tile", "kernel_id": "43372045"}, {"ref": "dangnguyen97/0-3-five-datasets", "kernel_id": "43868008"}, {"ref": "rkr2020/fast-or-slow-pyg", "kernel_id": "43987811"}, {"ref": "gusthema/starter-notebook-fast-or-slow-with-tensorflow-gnn", "kernel_id": "43957160"}, {"ref": "dnyaneshwalwadkar/simple-prediction-for-five-datasets", "kernel_id": "43950647"}, {"ref": "omrigruman/google-fast-or-slow-eda", "kernel_id": "43911854"}, {"ref": "sprasads/overview-google-fast-or-slow", "kernel_id": "43531493"}, {"ref": "yinankaggle/improved-xla-training-and-inference", "kernel_id": "43091280"}, {"ref": "chenboluo/simple-prediction-for-five-datasets", "kernel_id": "43757946"}, {"ref": "satheeshbhukya1/google-fast-or-slow", "kernel_id": "43062779"}, {"ref": "haiber/google-ai-competition", "kernel_id": "43239458"}, {"ref": "vinitkp/ai-model-runtime", "kernel_id": "44024177"}, {"ref": "geokocha/an-simple-introduction-to-tile-configuration", "kernel_id": "44231008"}, {"ref": "mattdeakos/xla-tile-dataset-generation-with-polars", "kernel_id": "44088716"}, {"ref": "vasudevak/building-gnn-from-scratch", "kernel_id": "44113506"}, {"ref": "junmingliang/kaggle-s-notebook-torch-geometric-install-issue", "kernel_id": "44399131"}, {"ref": "maheshmohna/cpu-gpu-project", "kernel_id": "44760607"}, {"ref": "maxverstappen/bertgraph-tile-train-infer-5fold-cv", "kernel_id": "44585882"}, {"ref": "theheadmaster/starter-notebook-tensorflow-gnn", "kernel_id": "44198955"}, {"ref": "amcnews/starter-notebook-tensor-flow-gnn", "kernel_id": "44856661"}, {"ref": "lewington/crikey-understand-the-data", "kernel_id": "45606546"}, {"ref": "lewington/linear-regression-baseline", "kernel_id": "45897440"}, {"ref": "lewington/crikey-random-baseline", "kernel_id": "45896871"}, {"ref": "lewington/larger-tile-bounds-faster", "kernel_id": "45904864"}, {"ref": "lewington/crikey-load-the-data", "kernel_id": "45841191"}, {"ref": "goelyash/google-fast-or-slow-tile-xla", "kernel_id": "45995959"}, {"ref": "sarahyeboahm/gnn-eda-runtime-predictions", "kernel_id": "45503614"}, {"ref": "sidneynoirg/tile-xla-end-to-end-submission-bde06b", "kernel_id": "45466962"}, {"ref": "weiooocn/tile-xla-end-to-end-train-infer", "kernel_id": "45918719"}, {"ref": "skuldropr/predict-ai-model-runtime-tile-only", "kernel_id": "45247243"}, {"ref": "minhsienweng/bertlike-tile-model-gnn-layout-model", "kernel_id": "45232613"}, {"ref": "andcli/tiling", "kernel_id": "47632029"}, {"ref": "andcli/layout", "kernel_id": "47635975"}, {"ref": "raviiloveyou/graphneurons-predicting-tensorflow", "kernel_id": "47994840"}, {"ref": "saranshthegoat/smj-s-google-fast-or-slow", "kernel_id": "51634610"}, {"ref": "sumamallapragada/refined-model-ai-compiler", "kernel_id": "76774511"}, {"ref": "proxjod/latency-lens", "kernel_id": "82187471"}, {"ref": "kevlkq/bert-tile-and-gnn-layout-copy", "kernel_id": "99845554"}, {"ref": "williamfaraday/starter-notebook-fast-or-slow-with-tensorf-22f08c", "kernel_id": "113553888"}, {"ref": "rubbadarkie/notebook759089c0c6", "kernel_id": "115393050"}, {"ref": "ashrafsalahedlin/mlops-pipeline-hybrid-gnn-histgradientboosting", "kernel_id": "125694493"}]}
{"competition_id": "58299", "kernels": [{"ref": "wlifferth/part-1-python-crash-course", "kernel_id": "39505173"}, {"ref": "wlifferth/part-1-5-submitting", "kernel_id": "41644524"}, {"ref": "wlifferth/part-4-tensorflow-and-neural-networks", "kernel_id": "41601991"}, {"ref": "wlifferth/part-2-exploring-our-data", "kernel_id": "41546854"}, {"ref": "wlifferth/part-3-building-a-simple-model", "kernel_id": "41571480"}, {"ref": "tracyporter/house-price-tf-sequential-dropout", "kernel_id": "41967774"}, {"ref": "tracyporter/house-price-tf-sequential-ex-ks-test", "kernel_id": "41945858"}, {"ref": "tracyporter/house-price-tf-functional", "kernel_id": "41945590"}, {"ref": "tracyporter/house-price-tf-sequential-outliers", "kernel_id": "41994661"}, {"ref": "tracyporter/house-price-tf-sequential", "kernel_id": "41931684"}, {"ref": "polixonrio/eda-random-forests", "kernel_id": "41706648"}, {"ref": "sanoberahmed/notebookaf90cccdec", "kernel_id": "41761113"}, {"ref": "matasferrn/house-worth", "kernel_id": "41705788"}, {"ref": "salazhiev/random-forests", "kernel_id": "41677667"}, {"ref": "masarusan/random-forest-for-beginners-explained-cell-by-cell", "kernel_id": "41694646"}, {"ref": "riteshmandal/getting-started-with-ml-a-crash-course-to-self", "kernel_id": "41752403"}, {"ref": "saidakbarp/what-s-that-house-worth", "kernel_id": "47559647"}, {"ref": "fadymamdouh01/house-price", "kernel_id": "50425609"}, {"ref": "rudeshkumar/houseprice-remaster", "kernel_id": "76245833"}]}
{"competition_id": "58303", "kernels": [{"ref": "hammoudhasan/starting-point", "kernel_id": "41559721"}]}
{"competition_id": "58322", "kernels": []}
{"competition_id": "58325", "kernels": []}
{"competition_id": "58327", "kernels": []}
{"competition_id": "58389", "kernels": [{"ref": "smithlarry/deep-learning-for-asl-digits", "kernel_id": "41749806"}]}
{"competition_id": "58390", "kernels": []}
{"competition_id": "58516", "kernels": []}
{"competition_id": "58592", "kernels": []}
{"competition_id": "58602", "kernels": [{"ref": "tracyporter/arima", "kernel_id": "41771879"}, {"ref": "tracyporter/sarimax", "kernel_id": "41815250"}, {"ref": "itzmitlivan/itzmitlforecast", "kernel_id": "42268592"}, {"ref": "cardata/sarima-models-in-minitab", "kernel_id": "57261595"}, {"ref": "cardata/sarima-models-in-minitab-01", "kernel_id": "57268755"}]}
{"competition_id": "58644", "kernels": []}
{"competition_id": "58651", "kernels": [{"ref": "ilyaivanov1867/prediction-price-bitcoin-ivanov", "kernel_id": "66448829"}, {"ref": "denkuznetz/predicting-value-bitcoin", "kernel_id": "87135470"}]}
{"competition_id": "58681", "kernels": [{"ref": "texopher/val-bp3n-import-raw-data", "kernel_id": "41780937"}, {"ref": "texopher/val-bp3n-rand-check-2023-08-08-a0", "kernel_id": "41962808"}, {"ref": "texopher/val-bp3n-rand-predict-2023-08-05", "kernel_id": "41813766"}, {"ref": "texopher/val-bp3n-rand-data-2023-08-05", "kernel_id": "41812990"}, {"ref": "texopher/val-bp3n-rand-predict-2023-08-04", "kernel_id": "41810124"}, {"ref": "texopher/val-bp3n-rand-data-2023-08-04", "kernel_id": "41809879"}, {"ref": "texopher/val-bp3n-rand-data-2023-08-06", "kernel_id": "41836703"}, {"ref": "texopher/val-bp3n-rand-predict-2023-08-06", "kernel_id": "41837019"}, {"ref": "texopher/val-bp3n-rand-predict-2023-08-06-a0", "kernel_id": "41837603"}, {"ref": "texopher/val-bp3n-rand-check-2023-08-06", "kernel_id": "41854289"}, {"ref": "texopher/val-bp3n-rand-check-2023-08-06-a0", "kernel_id": "41854955"}, {"ref": "texopher/val-bp3n-rand-check-2023-08-07", "kernel_id": "41872415"}, {"ref": "texopher/val-bp3n-rand-data-2023-08-07", "kernel_id": "41872305"}, {"ref": "texopher/val-bp3n-rand-predict-2023-08-07", "kernel_id": "41872354"}, {"ref": "texopher/val-bp3n-rand-predict-2023-08-07-a0", "kernel_id": "41892658"}, {"ref": "texopher/val-bp3n-rand-predict-2023-08-08-a0", "kernel_id": "41929649"}, {"ref": "texopher/val-bp3n-rand-check-2023-08-07-a0", "kernel_id": "41929804"}, {"ref": "texopher/val-bp3n-rand-check-2023-08-07-c0", "kernel_id": "41930072"}, {"ref": "texopher/val-bp3n-rand-check-2023-08-07-d0", "kernel_id": "41930701"}, {"ref": "texopher/val-bp3n-rand-predict-2023-08-07-c0", "kernel_id": "41899169"}, {"ref": "texopher/val-bp3n-rand-predict-2023-08-07-d0", "kernel_id": "41905856"}]}
{"competition_id": "58692", "kernels": []}
{"competition_id": "58707", "kernels": []}
{"competition_id": "58759", "kernels": [{"ref": "ensify/ctrlshiftcode", "kernel_id": "41955646"}, {"ref": "durga41003/pepmlmodel", "kernel_id": "41960486"}, {"ref": "rajasree04/team-not-found-1", "kernel_id": "41960790"}, {"ref": "rishikaj29/innovatix", "kernel_id": "41956621"}, {"ref": "srinithikmk/codemind-fusioneers", "kernel_id": "41959126"}]}
{"competition_id": "58768", "kernels": []}
{"competition_id": "58770", "kernels": [{"ref": "tracyporter/tic-tac-toe-tf-sigmoid", "kernel_id": "42216443"}, {"ref": "mahmoudghareeb/how-to-get-100-accuracy-with-tfdf", "kernel_id": "42087338"}, {"ref": "bahodirmaydonov/x-o-uyini", "kernel_id": "42076253"}, {"ref": "ayushkumar1603/datathon23kmean-starter", "kernel_id": "42059288"}]}
{"competition_id": "58786", "kernels": [{"ref": "thomasdubail/tamil-handwritten-character-recognition-resnet", "kernel_id": "42012244"}, {"ref": "karthikshankar12/tamil-character-recognition", "kernel_id": "42102783"}]}
{"competition_id": "58849", "kernels": [{"ref": "thefortunetellers/chatgpt-text-prediction-model", "kernel_id": "42180197"}]}
{"competition_id": "58911", "kernels": [{"ref": "garycflee/hands-on-session", "kernel_id": "42159039"}, {"ref": "garycflee/sample-submission-qpsk-randsynofdm", "kernel_id": "42358172"}, {"ref": "garycflee/demonstration-qpsk-randsynofdm-comparisons", "kernel_id": "42604458"}]}
{"competition_id": "58966", "kernels": []}
{"competition_id": "59047", "kernels": [{"ref": "seunghyunme/a-useful-mysterious-package-dictionary", "kernel_id": "42447546"}, {"ref": "owj0421/roberta-attention-min-max-pooling-classifier", "kernel_id": "42451174"}, {"ref": "jeonseonghu/aikuthon-3-inference-baseline", "kernel_id": "42344673"}, {"ref": "jeonseonghu/aikuthon-3-baseline", "kernel_id": "42455698"}]}
{"competition_id": "59060", "kernels": [{"ref": "northwind4/btk-competition-project", "kernel_id": "42603872"}, {"ref": "uipkdzn/btk-random-forest-pub-0-96141-priv-0-95", "kernel_id": "42589181"}, {"ref": "ulyabayram/datathon2023-troia-notebook", "kernel_id": "42693537"}, {"ref": "zgncandrttepe/btk-akademi", "kernel_id": "42532454"}, {"ref": "lyasdemir/btk-2023-predict", "kernel_id": "42553764"}, {"ref": "alicemzm/bek-simlerinin-ke-fi", "kernel_id": "42518942"}, {"ref": "gamzeakkurt/imbalance-multi-class-classification-3rd-place", "kernel_id": "42702069"}, {"ref": "eyupatahanli/btk-akademi-datathon-2023", "kernel_id": "42385157"}, {"ref": "latifkara/btk-zero", "kernel_id": "42361183"}, {"ref": "erogluegemen/eda-phase", "kernel_id": "42401312"}, {"ref": "erogluegemen/synthetic-data-generator", "kernel_id": "42425287"}, {"ref": "erogluegemen/t-sne", "kernel_id": "42424564"}, {"ref": "aemreusta/gdatabt-finalist-notebook", "kernel_id": "42948676"}, {"ref": "ramazanerduran/btk-akademi-2023-datathon-finalist-z-m", "kernel_id": "42360717"}, {"ref": "onurkoc83/btk-notebook", "kernel_id": "42608793"}, {"ref": "eselinildam/btk-datathon-final-nb", "kernel_id": "42626567"}, {"ref": "bilalakgz/datathon-2023-my-work", "kernel_id": "42385135"}, {"ref": "fatihsen20/pytorch-linear-model-96-acc", "kernel_id": "42402830"}, {"ref": "oranbusra/datathon-2023-analizler", "kernel_id": "42395436"}, {"ref": "burhanozdemir/ver-anal-z-ve-tahm-n", "kernel_id": "42419672"}, {"ref": "buzlueda/datathon-2023", "kernel_id": "42387157"}, {"ref": "keremozturk/datathon-2023-finalist-solution-0-96195-0-952", "kernel_id": "42563610"}, {"ref": "ahmetsinasoygan/aciklamali-ornek", "kernel_id": "42367450"}, {"ref": "so24def/datathon-2023-finalist-z-m", "kernel_id": "42694722"}, {"ref": "burakksz/btk-datathon", "kernel_id": "42376557"}, {"ref": "sinanbavli04/btk-datathon-2023", "kernel_id": "42721358"}, {"ref": "muhammedglsoy/btk-datathon-notebook", "kernel_id": "42719614"}, {"ref": "faruksezan/datathon2023", "kernel_id": "42386621"}, {"ref": "elifyetkin/datawizards-datathon-project-2023", "kernel_id": "42717624"}, {"ref": "ahmetdzdar/btk-datathon2023", "kernel_id": "42428230"}, {"ref": "umutakba/datathon-sonuc", "kernel_id": "42568046"}, {"ref": "dataalchemistss/data-alchemists", "kernel_id": "42532671"}, {"ref": "enesfehmimanan/datathon2023-basic-eda-model", "kernel_id": "43422348"}, {"ref": "ugurokarapunar/datatron", "kernel_id": "61745116"}, {"ref": "metinhsimimi/datathon2023-deep-and-classification-eda", "kernel_id": "65536555"}, {"ref": "merzaferaka/datathon-2023", "kernel_id": "66721869"}, {"ref": "deniz2121/datathon-2023", "kernel_id": "68898591"}]}
{"competition_id": "59093", "kernels": [{"ref": "andradaolteanu/hms-dataset-analysis-xgboost-classification", "kernel_id": "48135535"}, {"ref": "nimararora/pytorch-lightning-starter-with-wandb-visualization", "kernel_id": "49999736"}, {"ref": "ttahara/hms-hbac-resnet34d-baseline-inference", "kernel_id": "49397081"}, {"ref": "ttahara/hms-hbac-resnet34d-baseline-training", "kernel_id": "49380072"}, {"ref": "ambisinistra/rythm-baseline", "kernel_id": "49528158"}, {"ref": "seshurajup/eeg-pairing-wav", "kernel_id": "49455406"}, {"ref": "seshurajup/missing-eeg-ids-train-csv-vs-train-eegs-resolved", "kernel_id": "49232480"}, {"ref": "seshurajup/eda-train-csv", "kernel_id": "49224417"}, {"ref": "seshurajup/eegs-10-20-system", "kernel_id": "49169468"}, {"ref": "seshurajup/eegs-train-split-cv", "kernel_id": "49324875"}, {"ref": "seshurajup/eegs-target-analysis-correct-way-to-merge-target", "kernel_id": "49260790"}, {"ref": "seshurajup/eegs-pairing-analysis-features", "kernel_id": "49255516"}, {"ref": "seshurajup/spectrogram-distribution-analysis-sample", "kernel_id": "49906914"}, {"ref": "seshurajup/catboost-binary-classification-other-vs-rest", "kernel_id": "49718669"}, {"ref": "ksooklall/hms-banana-montage", "kernel_id": "49170703"}, {"ref": "matucker/aha-brain-eeg", "kernel_id": "49228537"}, {"ref": "docxian/hms-harmful-brain-activity-first-glance", "kernel_id": "49167541"}, {"ref": "serjhenrique/hms-hbac-dataset-build-dask-delayed", "kernel_id": "49800381"}, {"ref": "ryzhokhina/harmful-brain-activity-visualization-data-cnn", "kernel_id": "49493521"}, {"ref": "dan3dewey/hms-2024-brain-clusters", "kernel_id": "49714174"}, {"ref": "dan3dewey/hms-2024-brain-addicted-to-tinkering", "kernel_id": "49981285"}, {"ref": "dschettler8845/hms-eda-wip-abandonded", "kernel_id": "49539732"}, {"ref": "deepaksingh47/catboost-starter-with-patient-eeg-count-z-score", "kernel_id": "49909846"}, {"ref": "steveroberts/harmful-brain-activity-introduction", "kernel_id": "49259747"}, {"ref": "cdeotte/wavenet-starter-lb-0-52", "kernel_id": "49574083"}, {"ref": "cdeotte/catboost-starter-lb-0-60", "kernel_id": "49338447"}, {"ref": "cdeotte/how-to-make-spectrogram-from-eeg", "kernel_id": "49463724"}, {"ref": "cdeotte/efficientnetb0-starter-lb-0-43", "kernel_id": "49430674"}, {"ref": "ssarkar445/hms-starter-inf-cnn", "kernel_id": "49696861"}, {"ref": "ssarkar445/hms-starter-training-cnn", "kernel_id": "49436968"}, {"ref": "liuyanfeng/hms-train-dataset-create-baseline", "kernel_id": "49314932"}, {"ref": "liuyanfeng/hms-train-model-baseline-tf", "kernel_id": "49517426"}, {"ref": "medali1992/hms-resnet1d-gru-train", "kernel_id": "49747973"}, {"ref": "jazivxt/rythm-vibration-life-communication", "kernel_id": "49333268"}, {"ref": "clehmann10/solution-scoring-example", "kernel_id": "49231381"}, {"ref": "clehmann10/beginner-s-eda", "kernel_id": "49169628"}, {"ref": "clehmann10/plot-spectrograms", "kernel_id": "49172273"}, {"ref": "clehmann10/listen-to-spectrograms", "kernel_id": "49172886"}, {"ref": "yijiangzhengjianhu/train-lwh-2", "kernel_id": "49665339"}, {"ref": "jwackito/egg-plot-functions", "kernel_id": "49217600"}, {"ref": "morodertobias/hms-data-inspection", "kernel_id": "49224424"}, {"ref": "stpeteishii/brain-activity-data-view-and-features", "kernel_id": "49213503"}, {"ref": "gunesevitan/hms-hbac-inference", "kernel_id": "49524919"}, {"ref": "gunesevitan/hms-harmful-brain-activity-classification-eda", "kernel_id": "49347858"}, {"ref": "mvvppp/hms-eda-and-domain-journey", "kernel_id": "49172679"}, {"ref": "robbob62287/rnn-vcae-attempt", "kernel_id": "49808060"}, {"ref": "mpwolke/seizures-classification-parquet", "kernel_id": "49169453"}, {"ref": "kitsuha/cnn-lstm-baseline-only-use-eeg-data", "kernel_id": "49912594"}, {"ref": "kitsuha/only-use-eeg-features-xgboost-baseling", "kernel_id": "49387166"}, {"ref": "takanashihumbert/split-off-subsample-data-of-each-eeg-id", "kernel_id": "49353313"}, {"ref": "pansofluck/hms-hbac-resnet34d-inference", "kernel_id": "49773417"}, {"ref": "muhammad4hmed/hms-train-vit-on-spectrograms", "kernel_id": "49360881"}, {"ref": "muhammad4hmed/hms-data-prepare-separate-spectogram", "kernel_id": "49368378"}, {"ref": "muhammad4hmed/hms-inference-vit-on-spectrograms", "kernel_id": "49329858"}, {"ref": "dky7376/gpu-train-hms-vit-pipeline", "kernel_id": "49818506"}, {"ref": "dky7376/gpu-infer-hms-vit-pipeline", "kernel_id": "49870123"}, {"ref": "patrob/check-eeg-ekg-strange-values", "kernel_id": "49569034"}, {"ref": "patrob/check-nan-rows-eeg", "kernel_id": "49406168"}, {"ref": "patrob/check-nan-spectrograms", "kernel_id": "49400345"}, {"ref": "awsaf49/hms-hbac-kerascv-starter-notebook", "kernel_id": "49886229"}, {"ref": "abebe9849/make-cwt-from-eeg-compare-3-types-of-images", "kernel_id": "49761927"}, {"ref": "santusrk/data-analysis-for-a-beginner", "kernel_id": "49373736"}, {"ref": "hideyukizushi/hms-only-spectrograms-efficientnetv2-s-m-l-lb-42", "kernel_id": "49631848"}, {"ref": "hideyukizushi/hms-totalvalue1", "kernel_id": "49692254"}, {"ref": "mayurnawal/hms-1-train-csv-analysis", "kernel_id": "49747970"}, {"ref": "mayurnawal/redo-wavenet", "kernel_id": "49896706"}, {"ref": "benjenkins96/hms-eda-statistical-analysis", "kernel_id": "49283232"}, {"ref": "kdmitrie/hms-simple-functions-to-explore-the-records", "kernel_id": "49326246"}, {"ref": "shouheikuniyoshi/ibis-hms-harmful-brain-activity-first-glance", "kernel_id": "49319272"}, {"ref": "anmolgarg1998/hms-cnn1d-inference", "kernel_id": "49704351"}, {"ref": "anmolgarg1998/hms-eeg-raw-dataset-16waves", "kernel_id": "49710813"}, {"ref": "nartaa/training-features-head-starter-testbed-003", "kernel_id": "49524941"}, {"ref": "nartaa/features-head-starter", "kernel_id": "49787068"}, {"ref": "kenanmorani/vit-transformer", "kernel_id": "49879408"}, {"ref": "kenanmorani/hms-hbac-vit-transformer-baseline-training", "kernel_id": "49447410"}, {"ref": "vikramsandu/hbac-spec-playground", "kernel_id": "49455614"}, {"ref": "venkatkumar001/hms-firststep-exploration", "kernel_id": "49249681"}, {"ref": "venkatkumar001/catboost-hypertuning-lb-0-65-credit-chrisdeott", "kernel_id": "49368443"}, {"ref": "diegorestrepoleal/hms-1", "kernel_id": "49739735"}, {"ref": "lenferdetroud/hms-harmful-brain-activity-classification", "kernel_id": "49187939"}, {"ref": "adityasrivastava87/wavenet-starter-lb-0-66-0d5147", "kernel_id": "49980260"}, {"ref": "adityasrivastava87/training-wavenet", "kernel_id": "49790829"}, {"ref": "vvvm23/hms-baseline-equal", "kernel_id": "49645419"}, {"ref": "vvvm23/hms-baseline-mean", "kernel_id": "49646785"}, {"ref": "elgardo1/hms-eda-nan-in-sub-spectrograms", "kernel_id": "49899394"}, {"ref": "andrewscholan/offline-load-eeglib-visualisations-for-hms-hbac", "kernel_id": "49592263"}, {"ref": "jacobsharples/examining-the-training-file", "kernel_id": "49189827"}, {"ref": "soshitanabe/notebook0e27efe57f", "kernel_id": "49537810"}, {"ref": "sunyuri/hms-vipeegnetv1", "kernel_id": "49576186"}, {"ref": "noshakeplz/hms-hbac-resnet34d-baseline-training-85f79f", "kernel_id": "49875670"}, {"ref": "charliezimmerman/degree-of-expert-agreement-across-consensus-labels", "kernel_id": "49641902"}, {"ref": "mhantor/brain-activity-classification", "kernel_id": "49601045"}, {"ref": "pawanthapaliya/hms-harmful-brain-activity-classification", "kernel_id": "49705506"}, {"ref": "djanyigit/hms-eda-deep-learning-cnn", "kernel_id": "49379528"}, {"ref": "jillanisofttech/hms-baseline-resnet34d-v2-1", "kernel_id": "49708181"}, {"ref": "allygilbert/hms-project-background", "kernel_id": "49253173"}, {"ref": "ubaydulloasatullaev/harvard-hba-efficientnet-0-43", "kernel_id": "49864063"}, {"ref": "mohammed165/harmful-brain-activity-classification", "kernel_id": "49234436"}, {"ref": "yusaku5739/eeg-signal-denosing-using-wavelet-transform", "kernel_id": "49392710"}, {"ref": "yusaku5739/introduction-of-features-used-for-eeg-analysis", "kernel_id": "49521996"}, {"ref": "yitianlai/eeg-harmful-brain-activity-classification", "kernel_id": "49687825"}, {"ref": "hafizrahman/eeg-analysis-classification", "kernel_id": "49378120"}, {"ref": "starcs2001/hms-modelling-and-data-prep", "kernel_id": "49519432"}, {"ref": "senku04/beginners-approach-eda", "kernel_id": "49710560"}, {"ref": "timotheguy/data-exploration-and-some-signal-processing", "kernel_id": "49264929"}, {"ref": "ismailaseck/the-training-set-has-824-eeg-files-with-nan", "kernel_id": "49318279"}, {"ref": "ismailaseck/hms-pytorch-dataset", "kernel_id": "49222041"}, {"ref": "tanmaysinghal55/bossting", "kernel_id": "49732337"}, {"ref": "kylelacson/harmful-brain-activity-ipynb", "kernel_id": "49331832"}, {"ref": "risakashiwabara/eda-train-data-visualization", "kernel_id": "49384680"}, {"ref": "kawaiicoderuwu/visualize-eeg-scan-data-split-by-hemisphere", "kernel_id": "49373608"}, {"ref": "taha159357/harvard-hba-efficientnet-0-43", "kernel_id": "49997094"}, {"ref": "xueyushi/test-for-submission", "kernel_id": "49438652"}, {"ref": "sasidharanm10/hms-harmful-brain-activity-classification", "kernel_id": "49191817"}, {"ref": "sasidharanm10/a-beginner-approach", "kernel_id": "49593305"}, {"ref": "syednazmussakib/harmful-brain-activity-classification-from-eegdata", "kernel_id": "49644134"}, {"ref": "ybbbat/mean-and-variance", "kernel_id": "49742664"}, {"ref": "ybbbat/harmful-brain-activity-plotting-eda", "kernel_id": "49281996"}, {"ref": "ybbbat/learning-from-eeg-signals-using-arl-eegmodels", "kernel_id": "49469922"}, {"ref": "yunsuxiaozi/hms-baseline-resnet34d-512-512-inference-6-models", "kernel_id": "49624419"}, {"ref": "yunsuxiaozi/hms-baseline-lgb-10-folds-training", "kernel_id": "49679000"}, {"ref": "yunsuxiaozi/hms-baseline-lgb-10-folds-inference", "kernel_id": "49687363"}, {"ref": "yunsuxiaozi/hms-baseline-resnet34d-512-512-inference", "kernel_id": "49603627"}, {"ref": "yunsuxiaozi/hms-baseline-resnet34d-512-512-training-5-folds", "kernel_id": "49606340"}, {"ref": "yunsuxiaozi/hms-baseline-resnet34d-512-512-training", "kernel_id": "49581106"}, {"ref": "yunsuxiaozi/hms-baseline-lgb", "kernel_id": "49445740"}, {"ref": "yunsuxiaozi/hms-fusion-notebook-0125", "kernel_id": "49910190"}, {"ref": "yunsuxiaozi/hms-eegs-resnet34d-512-512-inference-5-folds", "kernel_id": "49880137"}, {"ref": "yunsuxiaozi/hms-eegs-resnet34d-512-512-training-5-folds", "kernel_id": "49876305"}, {"ref": "yunsuxiaozi/hms-eeg-efficientnet-b0-512-512-training-5-folds", "kernel_id": "49964127"}, {"ref": "yunsuxiaozi/hms-eeg-s-feature-engineer-cv-0-6351", "kernel_id": "49740835"}, {"ref": "yunsuxiaozi/hms-learn-to-transform-eeg-to-spectrogram-256-256", "kernel_id": "49869150"}, {"ref": "amankapoor0601/hms-code", "kernel_id": "49835791"}, {"ref": "cody11null/quick-ensemble", "kernel_id": "49939324"}, {"ref": "ubaydullohasatullaev/harward-hms-base-mean-submission", "kernel_id": "49865798"}, {"ref": "nakagawaren0805/hms-eda", "kernel_id": "49298807"}, {"ref": "nakagawaren0805/hms-baseline-train", "kernel_id": "49258254"}, {"ref": "nakagawaren0805/hms-detect-na", "kernel_id": "49341908"}, {"ref": "nakagawaren0805/hms-preprocess-linear-denoise", "kernel_id": "49866801"}, {"ref": "shashanks1202/hms-brain", "kernel_id": "49559804"}, {"ref": "anexperiencedidiot/hms-boosting", "kernel_id": "49686193"}, {"ref": "majnubhai80085/short-intro-to-eeg-hms", "kernel_id": "49617443"}, {"ref": "kkamal2003/hms-harmful-brain-activity-classification", "kernel_id": "49778593"}, {"ref": "shunsukekikuchi/dive-into-eegs", "kernel_id": "49437365"}, {"ref": "shunsukekikuchi/fast-eda", "kernel_id": "49341928"}, {"ref": "sajjadfc13/a-beginner-s-visualization", "kernel_id": "49215716"}, {"ref": "minhsienweng/train-infer-efficientnetb0-starter", "kernel_id": "49854273"}, {"ref": "taichiuemura/hms-hbac-first-view", "kernel_id": "49502847"}, {"ref": "taichiuemura/hms-hbac-eda", "kernel_id": "49507752"}, {"ref": "taichiuemura/hms-hbac-filter-and-downsample", "kernel_id": "49919768"}, {"ref": "taichiuemura/using-competition-metric-in-notebook", "kernel_id": "49906523"}, {"ref": "nadiatriki/detecting-harmful-brain-activity", "kernel_id": "49854136"}, {"ref": "arunsensei/lgbm-xgb-just-eeg-describe", "kernel_id": "49310212"}, {"ref": "arunsensei/lgbm-lb-0-76-spectrogram-and-eeg-describe", "kernel_id": "49345942"}, {"ref": "ghatotkachh/using-cnn", "kernel_id": "49735816"}, {"ref": "samithanawarathna/extract-various-frequency-bands-from-eeg-data", "kernel_id": "49916498"}, {"ref": "isabelocastillo/convert-to-dataframe", "kernel_id": "49455736"}, {"ref": "chaozhuang/hms-cnn-classification", "kernel_id": "49281040"}, {"ref": "sergeydeev/dfdf-with-parquet", "kernel_id": "49433316"}, {"ref": "yorkyong/exploring-eeg-a-beginner-s-guide", "kernel_id": "49359227"}, {"ref": "sumandas0/spectograms-with-max-and-min-votes-using-plotly", "kernel_id": "49412624"}, {"ref": "satishsathawane/neuroguard-a-deep-dive-into-hms-harmful-brain", "kernel_id": "49208479"}, {"ref": "gemknight/catboost-starter-lb-0-8", "kernel_id": "49369885"}, {"ref": "goldenlock/image-model-single-model-with-lb0-235-pb0-283", "kernel_id": "50376011"}, {"ref": "ajenningsfrankston/hms-eeg-prep", "kernel_id": "50801740"}, {"ref": "usharengaraju/keras3-kerascv-mixertransformer1-inference", "kernel_id": "50237218"}, {"ref": "usharengaraju/keras3-kerascv-mixertransformer-training", "kernel_id": "50062312"}, {"ref": "seshurajup/sparcnet-git", "kernel_id": "50100165"}, {"ref": "seshurajup/eeg-spectrogram-nan-analysis", "kernel_id": "50031018"}, {"ref": "crackle/efficientnetb0-pytorch-starter-lb-0-40", "kernel_id": "50625795"}, {"ref": "ksevta/hms-eda-catboost-baseline", "kernel_id": "50030699"}, {"ref": "asimandia/hms-hbac-1d-eeg-training", "kernel_id": "50383449"}, {"ref": "pcjimmmy/patient-variation-eda", "kernel_id": "50372785"}, {"ref": "fraolgelana/catboost-starter-bipolar-eeg", "kernel_id": "50364039"}, {"ref": "bloodaxe/hms-eda", "kernel_id": "50959782"}, {"ref": "cooolz/notebookc1c6c389c3", "kernel_id": "50496431"}, {"ref": "sonujha090/hms-hbac-fastai-starter", "kernel_id": "50394895"}, {"ref": "cdeotte/grad-cam-what-is-important-in-spectrograms", "kernel_id": "50387497"}, {"ref": "alexzxie/hms-harmful-brain-activity-classification", "kernel_id": "50885265"}, {"ref": "iworeushankaonce/wavenet-efficientnet-for-eeg-spects-cr-cdeotte", "kernel_id": "50406918"}, {"ref": "iworeushankaonce/extract-cardiac-features-from-ecg-a-tutorial", "kernel_id": "50518894"}, {"ref": "iworeushankaonce/read-save-eegs", "kernel_id": "50575147"}, {"ref": "craigmthomas/hms-2024-eda-models", "kernel_id": "50005459"}, {"ref": "hidetaketakahashi/hms-eda-datalength", "kernel_id": "50422170"}, {"ref": "liuyanfeng/hms-prediction-tf-transformer", "kernel_id": "50779692"}, {"ref": "morodertobias/hms-pytorch-baseline-training", "kernel_id": "50412552"}, {"ref": "morodertobias/hms-pytorch-baseline-inference", "kernel_id": "50450293"}, {"ref": "kesavsivakumar/wavlet-decomp-entropy-features-of-coefficients", "kernel_id": "50091772"}, {"ref": "koushikcon/catboost-starter-hyperparameter-search", "kernel_id": "50493000"}, {"ref": "robbob62287/diagnose-initial-efficientnet-starter-performance", "kernel_id": "50686361"}, {"ref": "robbob62287/chrononet-for-eeg-data-starter", "kernel_id": "50485986"}, {"ref": "kitsuha/transformer-baseline", "kernel_id": "50826116"}, {"ref": "kitsuha/3-model-ensemble-lb-0-37", "kernel_id": "50605187"}, {"ref": "alejopaullier/hms-wavenet-pytorch-train", "kernel_id": "50987073"}, {"ref": "alejopaullier/hms-efficientnetb0-pytorch-inference", "kernel_id": "50229716"}, {"ref": "alejopaullier/hms-efficientnetb0-pytorch-train", "kernel_id": "50228753"}, {"ref": "seanbearden/spectrogram-from-unique-eeg-votes-combo", "kernel_id": "50909326"}, {"ref": "seanbearden/effnetb0-2-pop-model-train-twice-lb-0-39", "kernel_id": "50877000"}, {"ref": "seanbearden/efficientnetb0-noisy-student-lb-0-42", "kernel_id": "50749779"}, {"ref": "carljvh/hms-eeg-starter", "kernel_id": "50974875"}, {"ref": "makuiky/hms-dataset-generator", "kernel_id": "50499045"}, {"ref": "makuiky/hms-train-notebook", "kernel_id": "50365931"}, {"ref": "makuiky/hms-submit-notebook", "kernel_id": "50358742"}, {"ref": "pollicio/hms-hbac-kerascv-starter-chile", "kernel_id": "50468653"}, {"ref": "pollicio/hms-pytorch-baseline", "kernel_id": "50764831"}, {"ref": "dhirajmwagh1111/dhiraj-sarita-harmful-brain-activity-classificat", "kernel_id": "50860867"}, {"ref": "tomooinubushi/lb-probing-notebook-for-hms", "kernel_id": "50090482"}, {"ref": "hideyukizushi/hms-blend-all-torch-publicmodel-simpleblend-lb-32", "kernel_id": "50698726"}, {"ref": "rutwiklokur/visualizing-spectrogram", "kernel_id": "50805874"}, {"ref": "anmolgarg1998/hms-combined-eeg-spectrogram", "kernel_id": "50019355"}, {"ref": "anmolgarg1998/fold5-hms-wavenet-inference", "kernel_id": "50383383"}, {"ref": "nartaa/how-to-make-spectrogram-from-eeg", "kernel_id": "50333902"}, {"ref": "nischaydnk/lightning-1d-eegnet-training-pipeline-hbs", "kernel_id": "50132183"}, {"ref": "nischaydnk/hms-submission-1d-eegnet-pipeline-lightning", "kernel_id": "50132765"}, {"ref": "nischaydnk/training-multimodal-1d-2d-approach-eegs", "kernel_id": "50749641"}, {"ref": "nischaydnk/multimodal-1d-2d-eeg-approach-submission", "kernel_id": "50749330"}, {"ref": "mohib94/hms-resnext-pytorch-lb-0-57", "kernel_id": "50550633"}, {"ref": "mohib94/hms-resnext-pytorch-inference", "kernel_id": "50550934"}, {"ref": "mohib94/hms-making-ekg-spectrogram", "kernel_id": "50903979"}, {"ref": "bkowshik/eda-harmful-brain-activity", "kernel_id": "50301242"}, {"ref": "nityaakalra/patient-variation-eda", "kernel_id": "50827694"}, {"ref": "seungwanhong/automl-hms-brief-eda-starter", "kernel_id": "50124363"}, {"ref": "elgardo1/hms-how-to-build-spectrograms", "kernel_id": "50722659"}, {"ref": "bhanpuramufaddal2/datapreprocessing", "kernel_id": "50698365"}, {"ref": "aliiii3/making-own-spectorgrams", "kernel_id": "50933918"}, {"ref": "raufie/distribution-analysis-hba", "kernel_id": "50053620"}, {"ref": "raufie/spectrograms-dataset-creator-half-a", "kernel_id": "50558562"}, {"ref": "mizukey/random-prediction-uniform-distribution-lb-1-09", "kernel_id": "50999390"}, {"ref": "jacobsharples/starter-catboost-notebook-cv-0-59-lb-0-61", "kernel_id": "50383333"}, {"ref": "ezzaddeenmofarreh/catboost-trying-more-features", "kernel_id": "50140814"}, {"ref": "vinayaktiwari28/simple-starter-approach-1d-eegnet-training", "kernel_id": "50157235"}, {"ref": "peizhengwang/effientnetb0-lstm-head-label-smoothing", "kernel_id": "50448769"}, {"ref": "mikhailzemskov/understanding-stft-and-spectrograms", "kernel_id": "50941086"}, {"ref": "borisenkogeorgiy/specs-autoencoder", "kernel_id": "50567034"}, {"ref": "borisenkogeorgiy/hms-hbac-resnet34d-baseline-training", "kernel_id": "50745828"}, {"ref": "felipenano/efficientnetb2-starter-lb-0-57", "kernel_id": "50034320"}, {"ref": "jaadari4/hms-training-notebook", "kernel_id": "50408615"}, {"ref": "juliuslandsman/hms-hbac-resnet34d-baseline-training", "kernel_id": "50543297"}, {"ref": "mukuldev007/harmfulbrainactivityclassification", "kernel_id": "50033644"}, {"ref": "limonhalder/only-use-eeg-features-xgboost-baseling-6bb9d1", "kernel_id": "50382817"}, {"ref": "jpkochar/hms-first-try", "kernel_id": "50060976"}, {"ref": "frankling2021/wavenet-in-frequency-domain", "kernel_id": "50793393"}, {"ref": "lorispanza/analysis-on-single-patient-eegs-and-spectrograms", "kernel_id": "50018645"}, {"ref": "tygofrancissen/train-notebook", "kernel_id": "50323549"}, {"ref": "tygofrancissen/inference-notebook", "kernel_id": "50649921"}, {"ref": "abdonasser/eda-beginner-harmful-brain-activity-classification", "kernel_id": "50613911"}, {"ref": "sunny7712/hms-starter-pytorch-train", "kernel_id": "50100018"}, {"ref": "robber19/hms-baseline-model", "kernel_id": "50705622"}, {"ref": "chenboluo/hms-efficientnetb0-pytorch-test-time-adaptive", "kernel_id": "50295098"}, {"ref": "h210164/hms-eeg2spec", "kernel_id": "50530747"}, {"ref": "kriti264/ensemble-hba-classifier", "kernel_id": "50070405"}, {"ref": "philipakomolafe/notebookf55f8b8d9f", "kernel_id": "50146506"}, {"ref": "amansharma231102/hms-project", "kernel_id": "50467159"}, {"ref": "astrotis/hmscomp-01", "kernel_id": "50894647"}, {"ref": "avdhesh15/harmful-brain-activity-model", "kernel_id": "50509182"}, {"ref": "luepoe/master-training-hms-workflow", "kernel_id": "50991888"}, {"ref": "luepoe/iiact-training-hms-workflow", "kernel_id": "50992205"}, {"ref": "purushv/hms-harmful-brain-activity-classification", "kernel_id": "50588921"}, {"ref": "naomideenen/train", "kernel_id": "50507934"}, {"ref": "oles04/introduction-eda", "kernel_id": "50028783"}, {"ref": "youssefhassan1234/hms-harmful-brain-activity-classification-youssef", "kernel_id": "50959805"}, {"ref": "mariesophiesimon/dataexploration", "kernel_id": "50652738"}, {"ref": "ahmedxc4/hms-hbac-kerascv-resnet50", "kernel_id": "50477056"}, {"ref": "smitten20/eeg-dic", "kernel_id": "50661006"}, {"ref": "shouvikdey21/resnet-efficientnet-ensemble-hba-classifie", "kernel_id": "50684944"}, {"ref": "kemh17/hms-hbac", "kernel_id": "50779320"}, {"ref": "paralyzed/fork-of-catboost-binary-classification-other-vs-r", "kernel_id": "50542248"}, {"ref": "vinodkumargurjar/harmful-brain-activity-classification-vinod", "kernel_id": "50195978"}, {"ref": "dmitryshibaev/hms-eeg-model", "kernel_id": "50379921"}, {"ref": "nakagawaren0805/think-external-eeg-dataset", "kernel_id": "50484273"}, {"ref": "stemosamaghandour/eeg-brain-epilepsy-evaluator-by-efficientnetb2", "kernel_id": "50117440"}, {"ref": "anexperiencedidiot/ensemble-hba-classifier-extension", "kernel_id": "50105728"}, {"ref": "tanvikapil/hba-tanvi", "kernel_id": "50156383"}, {"ref": "sikaro/harmful-brain-eda", "kernel_id": "50801338"}, {"ref": "yashararabidinov/3-model-ensemble-lb-0-37", "kernel_id": "50815374"}, {"ref": "rayruiyunliu/eeg-eda-gbdt", "kernel_id": "50062361"}, {"ref": "ahksase/hms-harmful-brain-activity-classification", "kernel_id": "50748274"}, {"ref": "lilyhyseni/hms-detect-and-classify-seizures-in-eeg", "kernel_id": "50084110"}, {"ref": "seoyunje/hms-denoising-with-dmey", "kernel_id": "50309020"}, {"ref": "seoyunje/hms-new-chain-with-none", "kernel_id": "50362365"}, {"ref": "seoyunje/hms-new-chain-with-dmey", "kernel_id": "50361304"}, {"ref": "nitishjolly/hms-harmful-brain-activity-classification", "kernel_id": "50973098"}, {"ref": "sanvibhelkar/hms-deeplearning", "kernel_id": "50490658"}, {"ref": "mfmfmf3/clean-code-hms", "kernel_id": "50773224"}, {"ref": "ghatotkachh/inference", "kernel_id": "50956137"}, {"ref": "utsavsinghal2604/code-hms", "kernel_id": "50982688"}, {"ref": "walkingwizard0/ds-harvard-harmful-brain-activity-classification", "kernel_id": "50377694"}, {"ref": "patteg21/v0-0-hms-convnet", "kernel_id": "50289599"}, {"ref": "samithanawarathna/pytorch-eegnet-baseline-model", "kernel_id": "50079749"}, {"ref": "ridhii19/notebook26241a801e", "kernel_id": "50453083"}, {"ref": "ajpath/dinov2-vit-pytorch-draft-test", "kernel_id": "50836795"}, {"ref": "seamusbarnes/catboost-starter-lb-0-6", "kernel_id": "50109807"}, {"ref": "seamusbarnes/hms-competition-fastai-resnet18-train", "kernel_id": "50525347"}, {"ref": "seamusbarnes/hms-competition-random-forest", "kernel_id": "50364487"}, {"ref": "andreasbis/hms-inference-lb-0-41", "kernel_id": "50094271"}, {"ref": "andreasbis/hms-train-efficientnetb0", "kernel_id": "50080626"}, {"ref": "andreasbis/hms-train-resnet34d", "kernel_id": "50080568"}, {"ref": "andreasbis/hms-train-efficientnetb1", "kernel_id": "50434113"}, {"ref": "theeventhorizons/eda-hms", "kernel_id": "50781241"}, {"ref": "yujansaya/harmful-brain-activity", "kernel_id": "50271593"}, {"ref": "duongkhoanguyen/hms-eda-1st-step", "kernel_id": "50356204"}, {"ref": "suzukisatsuki/hms-eda", "kernel_id": "50491785"}, {"ref": "victorgabrielpetre/hms-efficientnetb0-pytorch-train", "kernel_id": "50325693"}, {"ref": "aurodius/cnn-lstm-baseline-only-use-eeg-data", "kernel_id": "50863071"}, {"ref": "robonuke/cj-hunters-harmful-brain-model", "kernel_id": "50676486"}, {"ref": "yassinealouini/eda-of-brain-activity", "kernel_id": "51157214"}, {"ref": "ajenningsfrankston/bispectrum2d-64x64-from-eeg", "kernel_id": "51545780"}, {"ref": "kalfasyan/how-to-make-spectrogram-from-eeg", "kernel_id": "51276792"}, {"ref": "iglovikov/xymasking-aug", "kernel_id": "51042984"}, {"ref": "icozma/brain-activity-some-visual-analysis", "kernel_id": "51704585"}, {"ref": "icozma/hms-pyspark-exercise", "kernel_id": "51720360"}, {"ref": "baldobeliebers/mnepreproc-effnet-trainingscores", "kernel_id": "51125770"}, {"ref": "narareddy/classify-brain-activity-pretrained-mobilenet-v2", "kernel_id": "51492986"}, {"ref": "mcwema/hms-hbac-train-tf2-15-keras3-0-2-tpu", "kernel_id": "51772830"}, {"ref": "mcwema/hms-hbac-infer-tflow-2-15-keras-2-15-lb-0-52", "kernel_id": "51774316"}, {"ref": "kaimingk/extract-spectrogram", "kernel_id": "51157111"}, {"ref": "roger92/hms-data-aug-module-learning", "kernel_id": "51745992"}, {"ref": "coldfir3/dummy-predictions", "kernel_id": "51777863"}, {"ref": "vishalbakshi/hms-hbac-fastai-starter-notebook", "kernel_id": "51895543"}, {"ref": "vishalbakshi/hms-hbac-fastai-resnet34-starter-train", "kernel_id": "51996785"}, {"ref": "rostepifanov/nnspt-1d-effitientnet-v2-starter-lb-0-46", "kernel_id": "51176621"}, {"ref": "vladimirsydor/ucu-hms-inference", "kernel_id": "51623299"}, {"ref": "vkp123/final-hms-with-mobilenetv2", "kernel_id": "51472582"}, {"ref": "snopoff/gnns-meets-hms-only-train", "kernel_id": "51536573"}, {"ref": "hidetaketakahashi/hms-eda-confidence-of-diagnosis", "kernel_id": "51527661"}, {"ref": "hidetaketakahashi/hms-findpatternbycnn", "kernel_id": "51752810"}, {"ref": "hidetaketakahashi/hms-cnn-spectrogram-short", "kernel_id": "51747498"}, {"ref": "lance11320/hms-pytorch-baseline-inference", "kernel_id": "51070790"}, {"ref": "medali1992/hms-efficientnetb0-train", "kernel_id": "51484142"}, {"ref": "medali1992/hms-efficientnetb0-inference", "kernel_id": "51493736"}, {"ref": "medali1992/hms-resnet50-spark-inference", "kernel_id": "51476296"}, {"ref": "medali1992/hms-resnet1d-gru-inference", "kernel_id": "51085997"}, {"ref": "medali1992/hms-resnet50-spark-train", "kernel_id": "51276922"}, {"ref": "quan0095/split-kfold-totalvote-hms", "kernel_id": "51129244"}, {"ref": "shaileshshettyd/neuroblast-adventures-in-brain-waves", "kernel_id": "51464243"}, {"ref": "kimdonguk89/ensemble-v2", "kernel_id": "51194350"}, {"ref": "alejopaullier/hms-wavenet-pytorch-inference", "kernel_id": "51008467"}, {"ref": "seanbearden/missing-data-in-spectrograms", "kernel_id": "51128223"}, {"ref": "seanbearden/processing-the-tuh-eeg-seizure-corpus", "kernel_id": "51188963"}, {"ref": "raki21/eda-spectogram-subsections", "kernel_id": "51062839"}, {"ref": "eugeneshalli/autoencoder-baseline", "kernel_id": "51972326"}, {"ref": "michielpieters/testneural", "kernel_id": "51277808"}, {"ref": "jaytonde/ensemble-efficientnetb0-5-folds-1-lb-0-39", "kernel_id": "51981000"}, {"ref": "jaytonde/possible-augmentations-for-eeg-graph", "kernel_id": "51649031"}, {"ref": "kimbyungchun/hms-hbac-starter-eda", "kernel_id": "51056842"}, {"ref": "kimbyungchun/preprocess-with-mne-for-human", "kernel_id": "51106997"}, {"ref": "kimbyungchun/uniform-prediction", "kernel_id": "51076471"}, {"ref": "elgardo1/hms-03-spectrograms-single-v1", "kernel_id": "51089813"}, {"ref": "bhanpuramufaddal2/grumodelv2", "kernel_id": "51001345"}, {"ref": "bhanpuramufaddal2/grumodelv1", "kernel_id": "51282534"}, {"ref": "dataanalojisan/my-super-simple-randomforest-baseline", "kernel_id": "51691391"}, {"ref": "abaojiang/lb-0-46-dilatedinception-wavenet-training", "kernel_id": "51119965"}, {"ref": "abaojiang/lb-0-46-dilatedinception-wavenet-inference", "kernel_id": "51088685"}, {"ref": "mizukey/simple-baseline-lb-0-97", "kernel_id": "51115531"}, {"ref": "alyaaka/hms-harmful-brain-activity-classification", "kernel_id": "51537927"}, {"ref": "konstantinboyko/hms-resnet1d-gru-v22-human-6-inference", "kernel_id": "51648846"}, {"ref": "konstantinboyko/hms-resnet1d-gru-v33-human-5-stage-1-inference", "kernel_id": "51737838"}, {"ref": "raunakkrishanjaiswal/hms-raunak", "kernel_id": "51637941"}, {"ref": "borisenkogeorgiy/specs-arcface", "kernel_id": "51002625"}, {"ref": "whiteram/hms-submission-eegpt-pb-pipeline-lightning", "kernel_id": "51611690"}, {"ref": "sacuscreed/channel-attention-hybrid-transformer", "kernel_id": "51993764"}, {"ref": "sacuscreed/label-smoothing-semisupervised-loss", "kernel_id": "51525249"}, {"ref": "sacuscreed/custom-gatconv", "kernel_id": "51225933"}, {"ref": "maudvandelockant/ensemble-wavenet-and-efficientnet", "kernel_id": "51973467"}, {"ref": "gobyeonggeon/signal-features-eda-xgb-classifier", "kernel_id": "51391784"}, {"ref": "ajr094/hms-harmful-brain-activity-detailed", "kernel_id": "51652792"}, {"ref": "fmgsf12/effnetb0-dbbkagglehann1channel-freqmask128", "kernel_id": "51637442"}, {"ref": "anilyagiz/hms-multiple-model-ensemble-4-notebooks-19b844", "kernel_id": "51228813"}, {"ref": "racimmenasria/hms-hbac-kerascv-starter-notebook-0738d5", "kernel_id": "51211857"}, {"ref": "junhyeokc/fork-of-hms-version", "kernel_id": "51162047"}, {"ref": "junhyeokc/hms-version-lb-0-56", "kernel_id": "51140555"}, {"ref": "michalinahulak/playing-with-metric-and-target", "kernel_id": "51461642"}, {"ref": "naomideenen/train-spectrograms", "kernel_id": "51754610"}, {"ref": "adithyahegdekota/notebook50ad923e8d", "kernel_id": "51231066"}, {"ref": "arefbagherzadeh/starter-aref", "kernel_id": "51217820"}, {"ref": "neusvegas/hms-train-efficientnetb1-less-than-4-removed", "kernel_id": "51710143"}, {"ref": "neusvegas/hms-train-resnet34d-less-than-4-removed", "kernel_id": "51584720"}, {"ref": "neusvegas/hms-train-efficientnetb0-less-than-4-removed", "kernel_id": "51272726"}, {"ref": "mariesophiesimon/statisticclassification", "kernel_id": "51822041"}, {"ref": "rafaelzimmermann1/hms-spectrogram-creation-using-gpu", "kernel_id": "51119826"}, {"ref": "rafaelzimmermann1/no-ensemble-new-spectrograms-label-refine", "kernel_id": "51944305"}, {"ref": "paralyzed/fork-of-efficientnetb2-starter-lb-0-57-093177", "kernel_id": "51092747"}, {"ref": "sdkaklsgsfg/hms-01", "kernel_id": "51104686"}, {"ref": "sdkaklsgsfg/hms-05", "kernel_id": "51194983"}, {"ref": "fldlsklt/wavenet-starter-lb-0-66", "kernel_id": "51012184"}, {"ref": "fldlsklt/inception-v3", "kernel_id": "51799509"}, {"ref": "dmitryshibaev/hms-plot-eeg", "kernel_id": "51232997"}, {"ref": "leeseojun00/hms-ai-spec-practice", "kernel_id": "51204418"}, {"ref": "ryankim17920/variational-auto-encoder-training", "kernel_id": "51768080"}, {"ref": "ryankim17920/hms-3-x-speed-multiple-model-ensemble-lb-0-35", "kernel_id": "51549984"}, {"ref": "serhiikharchuk/efficientnetb2-not-working", "kernel_id": "51992055"}, {"ref": "seoyunje/hms-tuh-10min-spectrogram", "kernel_id": "51604979"}, {"ref": "seoyunje/hms-tuh-eeg-spectrogram", "kernel_id": "51572220"}, {"ref": "seoyunje/nih-chest-x-ray-image-classification", "kernel_id": "51112441"}, {"ref": "seoyunje/hms-wavenet-pseudo-labeling", "kernel_id": "51011983"}, {"ref": "shourjyo/open-lab-project", "kernel_id": "51965226"}, {"ref": "ghatotkachh/visiontransformertiny", "kernel_id": "51034624"}, {"ref": "utsavsinghal2604/hms-hbac-code", "kernel_id": "51960026"}, {"ref": "annaxshang/simple-eda-and-data-processing", "kernel_id": "51243523"}, {"ref": "user0938479/finalsubmission7", "kernel_id": "51995885"}, {"ref": "user0938479/gradboosttrainnew", "kernel_id": "51284722"}, {"ref": "marrrccccch/hms-mine", "kernel_id": "51199161"}, {"ref": "isaiquintanilla/chekandooo", "kernel_id": "51988561"}, {"ref": "andreasbis/hms-multiple-model-ensemble-lb-0-35", "kernel_id": "51119760"}, {"ref": "vinzileo/hms-0-36lb", "kernel_id": "51200201"}, {"ref": "theeventhorizons/understanding-the-basics-of-mne", "kernel_id": "51638865"}, {"ref": "tarndeepsingh16/hms-harmful-brain-activity-classification", "kernel_id": "51594992"}, {"ref": "daoyuanwang/efficientnetb2-starter-lb-0-57", "kernel_id": "51471771"}, {"ref": "kimbladder/hms-mlip-15-training-wavenet", "kernel_id": "51989293"}, {"ref": "jasperpieterse/hms-eegnet-inference", "kernel_id": "51508479"}, {"ref": "jasperpieterse/hms-eegnet-training", "kernel_id": "51274147"}, {"ref": "suzukisatsuki/eeg-specs-using-randam-sampling", "kernel_id": "51796113"}, {"ref": "walkingperson/fork-of-hms-version", "kernel_id": "51196798"}, {"ref": "qotjgh/hms-test", "kernel_id": "51151698"}, {"ref": "mountainha/hms-blend-all-torch-publicmodel-simpleblend-lb-37", "kernel_id": "51195945"}, {"ref": "mountainha/hms-multiple-model-ensemble-lb-0-35", "kernel_id": "51194891"}, {"ref": "inae9405/ai14-gogo", "kernel_id": "51140432"}, {"ref": "peperico/notebook2a4a35052e", "kernel_id": "51267837"}, {"ref": "peperico/notebook8eec110778", "kernel_id": "51267820"}, {"ref": "topbrandonr/notebookd9e4afcabe", "kernel_id": "51623221"}, {"ref": "tezdhar/mk-sub-1", "kernel_id": "52860091"}, {"ref": "iglovikov/mixup-aug-in-albumentations", "kernel_id": "52004772"}, {"ref": "gauravbrills/eeg-wave-gru-quad-tail", "kernel_id": "52457501"}, {"ref": "caelhasse/inceptbottletransformer-train-cv-0-67-lb-0-51", "kernel_id": "52681967"}, {"ref": "vishalbakshi/hms-hbac-fastai-convnext-small-pt-1-train", "kernel_id": "52188094"}, {"ref": "vishalbakshi/hms-hbac-fastai-convnext-small-pt-1-analysis", "kernel_id": "52333720"}, {"ref": "vishalbakshi/hms-hbac-fastai-tta-submit", "kernel_id": "52120038"}, {"ref": "vishalbakshi/hms-hbac-fastai-planning-small-model-experiments", "kernel_id": "52134508"}, {"ref": "vishalbakshi/hms-hbac-fastai-resnet34-starter-submit", "kernel_id": "52013509"}, {"ref": "vishalbakshi/hms-hbac-fastai-stacked-images-train", "kernel_id": "52050524"}, {"ref": "vishalbakshi/hms-hbac-fastai-stacked-images-submit", "kernel_id": "52052548"}, {"ref": "vishalbakshi/hms-hbac-fastai-convnext-small-pt-2-submit", "kernel_id": "52465821"}, {"ref": "vishalbakshi/hms-hbac-fastai-convnext-small-pt-2-train", "kernel_id": "52463417"}, {"ref": "eliaschiavon/data-exploration-from-zero-to-spectrograms", "kernel_id": "52250489"}, {"ref": "mattinjersey/fun-efficientnetb0-starter", "kernel_id": "52621990"}, {"ref": "mkotyushev/16th-place-hms", "kernel_id": "52720077"}, {"ref": "yijiangzhengjianhu/hms-kaggle-both", "kernel_id": "52083595"}, {"ref": "quan0095/find-nan", "kernel_id": "52200132"}, {"ref": "pollicio/hms-resnet1d-gru-v22-human-6-train-chile", "kernel_id": "52751707"}, {"ref": "eugeneshalli/autoencoder-embeddings-model-inference", "kernel_id": "52669079"}, {"ref": "conormcmullan/hms-tda", "kernel_id": "52512129"}, {"ref": "anrenk/hms-classification-classic", "kernel_id": "52166612"}, {"ref": "anrenk/hms-spectrogram-pytorch", "kernel_id": "52899823"}, {"ref": "nartaa/inference-features-head-starter-k-e-ke", "kernel_id": "52784816"}, {"ref": "nartaa/two-model-ensemble-lb-0-32", "kernel_id": "52864990"}, {"ref": "nartaa/hms-eeg-signal-processing", "kernel_id": "52104904"}, {"ref": "racemuis/ensemble2-efficientnetv2-resnet", "kernel_id": "52657472"}, {"ref": "nityaakalra/edafinal", "kernel_id": "52187647"}, {"ref": "bhanpuramufaddal2/transformermodelv1", "kernel_id": "52302777"}, {"ref": "konstantinboyko/hms-full-validation-2-stage-s-train-infer", "kernel_id": "52427776"}, {"ref": "konstantinboyko/hms-resnet1d-gru-ensemble", "kernel_id": "52651078"}, {"ref": "konstantinboyko/hms-resnet1d-gru-train-1-5-dataset", "kernel_id": "52190206"}, {"ref": "konstantinboyko/hms-resnet1d-gru-inference-1-5-dataset", "kernel_id": "52190303"}, {"ref": "konstantinboyko/hms-resnet1d-gru-1-stage-inference-1-5-signal", "kernel_id": "52214626"}, {"ref": "konstantinboyko/hms-resnet1d-gru-1-stage-train-1-5-signal", "kernel_id": "52213584"}, {"ref": "konstantinboyko/hms-resnet1d-gru-v22-human-6-train", "kernel_id": "52002240"}, {"ref": "konstantinboyko/hms-resnet1d-gru-v33-human-5-stage-1-train", "kernel_id": "52001724"}, {"ref": "konstantinboyko/hms-neuronal-travelling-waves-1-stage-train-v102-3", "kernel_id": "52881219"}, {"ref": "konstantinboyko/hms-neuronal-travelling-waves-1-stage-infer-v102-3", "kernel_id": "52881415"}, {"ref": "bananaaaaaa/features-head-starter-sparcnet", "kernel_id": "52166785"}, {"ref": "bananaaaaaa/sparcnet-working", "kernel_id": "52236189"}, {"ref": "dariyankhan20/basic-preprocessing-utility-script", "kernel_id": "52108988"}, {"ref": "juliuslandsman/mlip-group-12-final-ensemble", "kernel_id": "52297760"}, {"ref": "yowamishi/hms-hbac-kerascv-starter-notebook", "kernel_id": "52743142"}, {"ref": "humaperveen/hms-inference", "kernel_id": "52878708"}, {"ref": "humaperveen/hms-two-model-ensemble", "kernel_id": "52878743"}, {"ref": "ryanirl/hms-baseline-sub", "kernel_id": "52551258"}, {"ref": "luepoe/lb-0-46-dilatedinception-wavenet-inference", "kernel_id": "52428026"}, {"ref": "luepoe/hms-multiple-model-ensemble-4-notebooks-19b844", "kernel_id": "52192585"}, {"ref": "luepoe/lb-0-46-dilatedinception-wavenet-training", "kernel_id": "52308462"}, {"ref": "luepoe/wavenet-starter-lb-0-66", "kernel_id": "52305224"}, {"ref": "luepoe/catboost-starter-lb-0-67", "kernel_id": "52304764"}, {"ref": "pshikk/mobilenet-overfits", "kernel_id": "52156491"}, {"ref": "pshikk/densenet", "kernel_id": "52213230"}, {"ref": "naomideenen/inference", "kernel_id": "52298989"}, {"ref": "cody11null/diversity-ensemble", "kernel_id": "52738921"}, {"ref": "adibvafafallahpour/features-head-starter", "kernel_id": "52377035"}, {"ref": "prabhashkumarjha/harmful-brain-activity-classification-with-auto-ml", "kernel_id": "52580379"}, {"ref": "mianwang1024/ensemble", "kernel_id": "52964748"}, {"ref": "dmitryshibaev/hms-spectr-model", "kernel_id": "52432131"}, {"ref": "dmitryshibaev/hms-model", "kernel_id": "52438610"}, {"ref": "mendesheitor/sub24-efficientnet-v2-s-train", "kernel_id": "52673398"}, {"ref": "zijiangyang1116/a2403001", "kernel_id": "52717047"}, {"ref": "brenolfreitas/breno-ensemble-efficientnet-wavenet", "kernel_id": "52005686"}, {"ref": "rath024/notebookb27370c568", "kernel_id": "52399354"}, {"ref": "moyuto/chris-s-preprocessing-explanation-for-myself", "kernel_id": "52618401"}, {"ref": "ryankim17920/variational-auto-encoder-analysis", "kernel_id": "52667612"}, {"ref": "seoyunje/hms-fir-filter-two-chains-practice", "kernel_id": "52087952"}, {"ref": "minhsienweng/infer-three-models-of-resnet-efficientnetb2", "kernel_id": "52200959"}, {"ref": "minhtutx/cnn-self-attention-hbac", "kernel_id": "52791931"}, {"ref": "walkingwizard0/stft-cnn-model", "kernel_id": "52121723"}, {"ref": "npusrc/hms-efficientnetb2-src", "kernel_id": "52165926"}, {"ref": "hoangkim3000/create-eeg-snippets", "kernel_id": "52723017"}, {"ref": "masakazuhiromatsu/hms-create-datasets-npy-datasets", "kernel_id": "52682055"}, {"ref": "vjdlalfkef/brain", "kernel_id": "52894856"}, {"ref": "isaiquintanilla/yaporfavor", "kernel_id": "52251700"}, {"ref": "ajpath/fork-of-resnet1d-vit-dinov2", "kernel_id": "52878967"}, {"ref": "majiaqi111/four-model-ensemble", "kernel_id": "52928838"}, {"ref": "aarishasifkhan/harmful-brain-activity-ridge-linear-regression", "kernel_id": "52358368"}, {"ref": "aarishasifkhan/harmful-brain-activity-classification-k-nn-model", "kernel_id": "52308500"}, {"ref": "aarishasifkhan/harmful-brain-activity-eda-analysis-99-acc", "kernel_id": "52514545"}, {"ref": "aarishasifkhan/harmful-brain-activity-multi-layer-perceptron", "kernel_id": "52419910"}, {"ref": "aarishasifkhan/harmful-brain-activity-random-forest-algorithm", "kernel_id": "52369582"}, {"ref": "aarishasifkhan/harmful-brain-activity-naive-bayes-algorithm", "kernel_id": "52369772"}, {"ref": "aarishasifkhan/harmful-brain-activity-lasso-regression-model", "kernel_id": "52369320"}, {"ref": "aarishasifkhan/harmful-brain-activity-mice-imputation-ml", "kernel_id": "52922202"}, {"ref": "aarishasifkhan/harmful-brain-activity-boosting-methods-ml", "kernel_id": "52920807"}, {"ref": "aarishasifkhan/harmful-brain-activity-polynomial-regression", "kernel_id": "52923233"}, {"ref": "aarishasifkhan/harmful-brain-activity-eda-train-and-test-ml", "kernel_id": "52903158"}, {"ref": "aarishasifkhan/harmful-brain-activity-linear-regression-model", "kernel_id": "52903781"}, {"ref": "aarishasifkhan/harmful-brain-activity-outliers-scaling-etc", "kernel_id": "52904435"}, {"ref": "rhubainmageswaran/hms-hbac-test3-a-messy", "kernel_id": "52981765"}, {"ref": "daoyuanwang/attend-try", "kernel_id": "52647726"}, {"ref": "ghatotkachhhbruhhhh/visiontransformertiny", "kernel_id": "52404466"}, {"ref": "chiyoungshin/hms-hbac-cyshbk-01", "kernel_id": "52402916"}, {"ref": "micha20/hms-mlip-15-training-efficientnet", "kernel_id": "52034819"}, {"ref": "dickblankvoort/ensemble-tests", "kernel_id": "52054237"}, {"ref": "jasperpieterse/hms-parallel-eegnet-training", "kernel_id": "52702058"}, {"ref": "stijnvanzon2000/ensemble-model-catbboost-wavenet-features-head", "kernel_id": "52220456"}, {"ref": "mariekevanvreeswijk/training-meta", "kernel_id": "52488337"}, {"ref": "mariekevanvreeswijk/inference-5-meta-model", "kernel_id": "52582627"}, {"ref": "rachelknol/inference-model-efficientnet-wavenet-eegnet", "kernel_id": "52649798"}, {"ref": "gregblast/brain-boy-base", "kernel_id": "52558226"}, {"ref": "peluch/rc-skinny-model", "kernel_id": "52941853"}, {"ref": "q1master/fork-of-fork-of-infer-features-head-starter", "kernel_id": "52586115"}, {"ref": "ringoooo/hms-1d-eegnet-inference", "kernel_id": "52575670"}, {"ref": "ringoooo/hms-1d-eegnet-training", "kernel_id": "52575577"}, {"ref": "myrthekouwenhoven/hms-parallel-1d-eegnet-training", "kernel_id": "52650903"}, {"ref": "myrthekouwenhoven/hms-1d-parallel-eegnet-inference", "kernel_id": "52651061"}, {"ref": "myrthekouwenhoven/hms-1d-eegnet-training", "kernel_id": "52650735"}, {"ref": "gauravbrills/hms-wavenet-gru-train-v3-diff-feats", "kernel_id": "53104583"}, {"ref": "vishalbakshi/hms-hbac-fastai-vit-small-pt-2-submit", "kernel_id": "53029501"}, {"ref": "vishalbakshi/hms-hbac-fastai-vit-small-pt-1-train", "kernel_id": "53277257"}, {"ref": "vishalbakshi/hms-hbac-fastai-vit-small-pt-1-analysis", "kernel_id": "53277330"}, {"ref": "vishalbakshi/hms-hbac-fastai-vit-small-pt-2-train", "kernel_id": "53277392"}, {"ref": "vishalbakshi/hms-hbac-fastai-swinv2-pt-2-submit", "kernel_id": "53475587"}, {"ref": "vishalbakshi/hms-hbac-fastai-large-pt-1-submit", "kernel_id": "53611952"}, {"ref": "vishalbakshi/hms-hbac-updated-spectrograms", "kernel_id": "53820416"}, {"ref": "vishalbakshi/hms-hbac-fastai-large-pt-1-train", "kernel_id": "53753838"}, {"ref": "vishalbakshi/hms-hbac-fastai-large-pt-2-train", "kernel_id": "53753998"}, {"ref": "vishalbakshi/hms-hbac-updated-spectrograms-pt-2", "kernel_id": "53931570"}, {"ref": "serjhenrique/hms-bac-train-test-split", "kernel_id": "53003684"}, {"ref": "serjhenrique/hms-hbac-spatio-temporal", "kernel_id": "53631548"}, {"ref": "krishagrawal/hms-resnet101-training", "kernel_id": "53011966"}, {"ref": "krishagrawal/model-category-1-inference", "kernel_id": "53048170"}, {"ref": "tattaka/fmax90-10sec-0-1-2", "kernel_id": "53967105"}, {"ref": "tattaka/fmax90-10sec-3-4", "kernel_id": "53967115"}, {"ref": "utm529fg/there-model-ensemble-lb-0-29", "kernel_id": "53108490"}, {"ref": "vinitkp/wavenet-starter", "kernel_id": "53488486"}, {"ref": "vinitkp/efficientnetb0-pytorch-starter", "kernel_id": "53451778"}, {"ref": "medali1992/stage2-knowledge-distillation-effnetb0-train", "kernel_id": "53688760"}, {"ref": "shreyasharma23/full-spectrogram-image-generation", "kernel_id": "53741832"}, {"ref": "yijiangzhengjianhu/demo-roc", "kernel_id": "53504331"}, {"ref": "quan0095/hms-best-public-final", "kernel_id": "53424936"}, {"ref": "asaliquid1011/hms-team-inference-ktmud", "kernel_id": "53747598"}, {"ref": "tatamikenn/train-by-fixed-data", "kernel_id": "53878001"}, {"ref": "tatamikenn/train-by-fixed-data-e24ea3", "kernel_id": "53878479"}, {"ref": "tatamikenn/finetune-hms-chris-fmax30-30sec-8ims-bandpa-8e8137", "kernel_id": "53971540"}, {"ref": "tatamikenn/finetune-hms-chris-fmax30-30sec-8ims-bandpass-spe", "kernel_id": "53970476"}, {"ref": "beckpro/dilated-inception-gru-0-46-lb", "kernel_id": "53539602"}, {"ref": "lenferdetroud/there-model-ensemble-gpu100", "kernel_id": "53706943"}, {"ref": "raufie/specs-based-inference", "kernel_id": "53125263"}, {"ref": "eduardotoloza/probabilistic-classification-of-epileptic-patterns", "kernel_id": "53631045"}, {"ref": "eduardotoloza/probability-estimation-of-epileptic-patterns", "kernel_id": "53361515"}, {"ref": "dariyankhan20/generate-first-third", "kernel_id": "53386763"}, {"ref": "thaiha220298/three-model-ensemble", "kernel_id": "53904235"}, {"ref": "jimmyisme1/features-head-ker-only-lb-0-31-pb-0-38", "kernel_id": "53442766"}, {"ref": "whiteram/hms-create-spectrogram-by-torchlibrosa", "kernel_id": "53599579"}, {"ref": "mariaglushanina/resnet-inference", "kernel_id": "53832125"}, {"ref": "karinana/success-failure-analysis", "kernel_id": "53470400"}, {"ref": "karinana/classifier-harmful-brain-activity", "kernel_id": "53019394"}, {"ref": "gobyeonggeon/the-distribution-of-other-votes-is-a-key-point", "kernel_id": "53369934"}, {"ref": "gobyeonggeon/multimodal-spectrogram-raw-eeg-model-starter", "kernel_id": "53444567"}, {"ref": "qi7axu/there-model-ensemble-lb-0-3", "kernel_id": "53237104"}, {"ref": "lishuanglin798/r-eda", "kernel_id": "53229048"}, {"ref": "sudipchakrabarty/hms-inference", "kernel_id": "53488119"}, {"ref": "mamoruiwasaki/hba-classification2", "kernel_id": "53790902"}, {"ref": "khan1803115/hms-starter-notebook", "kernel_id": "53470182"}, {"ref": "khan1803115/best-result-lb-0-29", "kernel_id": "53644940"}, {"ref": "khan1803115/best-result-0-29", "kernel_id": "53645544"}, {"ref": "yasithakavishka/eeg-competitionbook2", "kernel_id": "53894351"}, {"ref": "annnnya/ucu-hms-inference", "kernel_id": "53163055"}, {"ref": "cemuzzamil/hms-240324", "kernel_id": "53304220"}, {"ref": "shouvikdey21/three-model-ensemble-lb-0-3", "kernel_id": "53191594"}, {"ref": "adibvafafallahpour/there-model-ensemble-lb-0-3", "kernel_id": "53422596"}, {"ref": "yarynafialko/ap-signal-classification", "kernel_id": "53155009"}, {"ref": "princelvov/train-resnet1d-gru-0-36lb", "kernel_id": "53458791"}, {"ref": "princelvov/ica-catboost", "kernel_id": "53269891"}, {"ref": "qamarmath/training-resnet18d-for-multi-label-brain-activity", "kernel_id": "53524698"}, {"ref": "richald/no-ensemble-new-spectrograms-label-refine", "kernel_id": "53402345"}, {"ref": "richald/fork-of-no-ensemble-new-spectrograms-label-r", "kernel_id": "53954923"}, {"ref": "mohammadmkanna/eeg-scalograms", "kernel_id": "53404412"}, {"ref": "praneeshkathirvel/mlp-models-hms-praneesh", "kernel_id": "53761447"}, {"ref": "praneeshkathirvel/basic-preprocessing-utility-script", "kernel_id": "53391593"}, {"ref": "praneeshkathirvel/hms-submission-praneesh", "kernel_id": "53635865"}, {"ref": "minhsienweng/three-models-resnet-efficientnetb2", "kernel_id": "53363765"}, {"ref": "igorvolianiuk/harmfull-brain-activity-model", "kernel_id": "53756884"}, {"ref": "mhsn21/harmful-brain-activity", "kernel_id": "53262111"}, {"ref": "npusrc/eegnet-submission", "kernel_id": "53223024"}, {"ref": "npusrc/eegnet", "kernel_id": "53086074"}, {"ref": "kennethpirman/rc-model", "kernel_id": "53097940"}, {"ref": "kennethpirman/rc-gru-model-eval", "kernel_id": "53102094"}, {"ref": "kennethpirman/rc-spectrogram", "kernel_id": "53575457"}, {"ref": "rahimkk/hms-decision-tree-algorithm-randomforestclassifier", "kernel_id": "53027968"}, {"ref": "yezhiheng/zy-three-model-ensemble-gpu100", "kernel_id": "53762022"}, {"ref": "isaiquintanilla/v15-03-24", "kernel_id": "53066700"}, {"ref": "isaiquintanilla/reporte-final-20-03-24", "kernel_id": "53065018"}, {"ref": "revasingh/harmfull-brain-activity", "kernel_id": "53713095"}, {"ref": "majiaqi111/there-model-ensemble-lb-0-3", "kernel_id": "53044818"}, {"ref": "aarishasifkhan/harmful-brain-activity-lstm-model", "kernel_id": "53516270"}, {"ref": "aarishasifkhan/harmful-brain-activity-gru-model", "kernel_id": "53515217"}, {"ref": "aarishasifkhan/harmful-brain-activity-complex-rnn-model", "kernel_id": "53514723"}, {"ref": "aarishasifkhan/harmful-brain-activity-recurrent-nn-model", "kernel_id": "53508861"}, {"ref": "aarishasifkhan/harmful-brain-activity-custom-layers-for-rnn", "kernel_id": "53814229"}, {"ref": "aarishasifkhan/harmful-brain-activity-rnn-pre-trained-model", "kernel_id": "53765735"}, {"ref": "jeffreyurban/harmful-brain-activity-classification-tutorial", "kernel_id": "53495861"}, {"ref": "rhubainmageswaran/hms-hbact-test3c-messy-submission", "kernel_id": "53282615"}, {"ref": "theeventhorizons/egg-to-spec-mne", "kernel_id": "53458373"}, {"ref": "debasishtripathy13/inception-efficientnet", "kernel_id": "53636847"}, {"ref": "tadeofacosta/reporte-21-03-24-agregando-eeg", "kernel_id": "53156549"}, {"ref": "blkcunningham/eegproject2", "kernel_id": "53486370"}, {"ref": "wispvale/lb-multi-2d-ensemble", "kernel_id": "53584791"}, {"ref": "peluch/notebook52a92a1c33", "kernel_id": "53304261"}, {"ref": "peluch/rc-gru-model-eval", "kernel_id": "53157704"}, {"ref": "peluch/rc-model", "kernel_id": "53150223"}, {"ref": "esraal/classifier-harmful-brain-activity", "kernel_id": "53354230"}, {"ref": "haojungc/nick-hms-hbac-kerascv-starter-notebook", "kernel_id": "53371248"}, {"ref": "kotokoonishi/hms-hbac-kerascv-starter-notebook", "kernel_id": "53371291"}, {"ref": "simgarin/graph-maker", "kernel_id": "53518471"}, {"ref": "simgarin/dataset-maker-final", "kernel_id": "53369272"}, {"ref": "simgarin/notebook4fea90d534", "kernel_id": "53460427"}, {"ref": "lisarosee/model1", "kernel_id": "53836469"}, {"ref": "lisarosee/there-model-ensemble-lb-0-3", "kernel_id": "53611824"}, {"ref": "goldenlock/single-model-lb0-229-pb0-281-allinone", "kernel_id": "54652039"}, {"ref": "goldenlock/image-model-ensemble", "kernel_id": "54528360"}, {"ref": "goldenlock/single-model-lb0-233-pb0-287-allinone", "kernel_id": "54530018"}, {"ref": "darraghdog/3rd-place-solution", "kernel_id": "54617597"}, {"ref": "ren4yu/fold012-fmax90-10sec-2stage-pretrain", "kernel_id": "54179241"}, {"ref": "ren4yu/fold012-fmax30-30sec-8ims-2stage-pretrain", "kernel_id": "54179246"}, {"ref": "shiyili/hms-visiontransformer-pretrained-spectrograms", "kernel_id": "54285824"}, {"ref": "vishalbakshi/hms-hbac-eeg-spectrograms-pt-1", "kernel_id": "54162816"}, {"ref": "vishalbakshi/hms-hbac-updated-spectrograms-pt-3", "kernel_id": "54092546"}, {"ref": "cooolz/eeg-raw-model", "kernel_id": "54933686"}, {"ref": "cdeotte/single-model-gold-solution-cv-0-24-lb-0-24", "kernel_id": "54468431"}, {"ref": "tattaka/fold1-fmax60-40sec-16ims-12epochs", "kernel_id": "54240268"}, {"ref": "tattaka/fold2-fmax60-40sec-16ims-12epochs", "kernel_id": "54240270"}, {"ref": "tattaka/fold34-fmax30-50sec-9epochs-2stage-pretrai", "kernel_id": "54166273"}, {"ref": "tattaka/fold12-fmax30-50sec-9epochs-2stage-pretrain", "kernel_id": "54166275"}, {"ref": "tattaka/fold0-fmax30-50sec-9epochs-2stage-pretrain", "kernel_id": "54132281"}, {"ref": "snopoff/graphs-from-eeg-data", "kernel_id": "54274470"}, {"ref": "ktakita/hms-solution-1d-reshape-to-2d", "kernel_id": "54383912"}, {"ref": "quan0095/example-code-for-hms-multi-modals-model", "kernel_id": "54938093"}, {"ref": "yujiariyasu/fork-of-finetune-hms-chris-fmax30-30sec-8ims-bandp", "kernel_id": "54023625"}, {"ref": "yujiariyasu/fold0-fmax60-40sec-16ims-12epochs", "kernel_id": "54177843"}, {"ref": "yujiariyasu/ariyasu-newdata-oof-v3", "kernel_id": "54184228"}, {"ref": "yujiariyasu/ariyasu-newdata-oof-v2", "kernel_id": "54132233"}, {"ref": "yujiariyasu/ariyasu-newdata-oof-v4", "kernel_id": "54239542"}, {"ref": "yujiariyasu/fork-of-ariyasu-newdata-oof-v4", "kernel_id": "54251565"}, {"ref": "yujiariyasu/fmax30-sec30-8feats-1", "kernel_id": "54486144"}, {"ref": "yujiariyasu/fmax30-sec30-8feats-2", "kernel_id": "54486145"}, {"ref": "yujiariyasu/fmax30-sec30-8feats-3", "kernel_id": "54486148"}, {"ref": "yujiariyasu/fmax30-sec30-8feats-4", "kernel_id": "54486151"}, {"ref": "yujiariyasu/pretrain-by-all-data", "kernel_id": "54486329"}, {"ref": "yujiariyasu/fmax30-sec30-8feats-0", "kernel_id": "54484264"}, {"ref": "yujiariyasu/fmax90-sec10-8feats-0", "kernel_id": "54494778"}, {"ref": "yujiariyasu/fmax90-sec10-8feats-1", "kernel_id": "54494856"}, {"ref": "yujiariyasu/fmax90-sec10-8feats-2", "kernel_id": "54494859"}, {"ref": "yujiariyasu/fmax90-sec10-8feats-3", "kernel_id": "54494860"}, {"ref": "yujiariyasu/fmax90-sec10-8feats-4", "kernel_id": "54494861"}, {"ref": "yujiariyasu/fmax60-sec40-16feats-0", "kernel_id": "54494908"}, {"ref": "yujiariyasu/fmax30-sec50-16feats-0", "kernel_id": "54494965"}, {"ref": "yujiariyasu/fmax60-sec40-16feats-1", "kernel_id": "54497341"}, {"ref": "yujiariyasu/fmax60-sec40-16feats-2", "kernel_id": "54497343"}, {"ref": "yujiariyasu/fmax60-sec40-16feats-3", "kernel_id": "54497344"}, {"ref": "yujiariyasu/fmax60-sec40-16feats-4", "kernel_id": "54497346"}, {"ref": "yujiariyasu/preprocess-train-csv", "kernel_id": "54481813"}, {"ref": "yujiariyasu/fmax30-sec50-16feats-1", "kernel_id": "54499610"}, {"ref": "yujiariyasu/fmax30-sec50-16feats-2", "kernel_id": "54499611"}, {"ref": "yujiariyasu/fmax30-sec50-16feats-3", "kernel_id": "54499612"}, {"ref": "yujiariyasu/fmax30-sec50-16feats-4", "kernel_id": "54499614"}, {"ref": "yujiariyasu/train-by-clean-data", "kernel_id": "54604616"}, {"ref": "yujiariyasu/4th-place-solution", "kernel_id": "54655967"}, {"ref": "yujiariyasu/hms-stacking", "kernel_id": "54658214"}, {"ref": "debbiechu/hms-image-classification-with-efficientnet", "kernel_id": "54001021"}, {"ref": "rahulsingh04/multi-transfferlearningtype2", "kernel_id": "54852701"}, {"ref": "rahulsingh04/imagepreprocessing1", "kernel_id": "54367496"}, {"ref": "rahulsingh04/multi-transffer-learning-type1", "kernel_id": "54414967"}, {"ref": "tatamikenn/fold12-fmax60-40sec-16ims-9epochs", "kernel_id": "54145285"}, {"ref": "tatamikenn/fold34-fmax60-40sec-16ims-9epochs", "kernel_id": "54145295"}, {"ref": "tatamikenn/fold34-fmax90-10sec-2stage-pretrain", "kernel_id": "54191311"}, {"ref": "tatamikenn/fold34-fmax30-30sec-8ims-2stage-pretrain", "kernel_id": "54191332"}, {"ref": "tatamikenn/fold3-fmax60-40sec-16ims-12epochs-e60a77", "kernel_id": "54240142"}, {"ref": "tatamikenn/fold4-fmax60-40sec-16ims-12epochs-a8660e", "kernel_id": "54240153"}, {"ref": "tatsuyayamamoto/hms-gkf-ensemble-ver2", "kernel_id": "54172529"}, {"ref": "dimanishi/hms-graph-model-training", "kernel_id": "54649270"}, {"ref": "dimanishi/hms-graph-model-inference", "kernel_id": "54603992"}, {"ref": "dimanishi/hms-waveform-image-generation", "kernel_id": "54564884"}, {"ref": "rohitprasad612/harmful-brain-activity-classification", "kernel_id": "54188097"}, {"ref": "sacuscreed/last-bullet-inference", "kernel_id": "54262876"}, {"ref": "samvelkoch/hms-interactive-leaderboard-and-shake-up-plot", "kernel_id": "54324590"}, {"ref": "fanshuzhou48/ml-final-project", "kernel_id": "54475147"}, {"ref": "kevenpeter/hms-harmful-brain-activity-classification", "kernel_id": "54403184"}, {"ref": "s21blc1179/notebook1", "kernel_id": "54504122"}, {"ref": "xinwang1024/ensemble-new-spectrograms-label-refine", "kernel_id": "54020458"}, {"ref": "yasithakavishka/eeg-competitionbook3-logisticregression", "kernel_id": "54008880"}, {"ref": "sameenamujawar/sm-harmful-brain-activity-classification", "kernel_id": "54702294"}, {"ref": "harved3/hms-harmful-brain-activity-rpy2-caret", "kernel_id": "54216031"}, {"ref": "trilokvishwam/hms-train", "kernel_id": "54218504"}, {"ref": "subhodeepghosh01/3lancers-neural-net", "kernel_id": "54507565"}, {"ref": "aadityaporwal/bronze-medal-soln-public-lb-0-28-private-lb-0-35", "kernel_id": "54230037"}, {"ref": "abs2886/hms-ps-bilstm-resgru-attention-model", "kernel_id": "54269042"}, {"ref": "mmrizzo/evaluate-hms-test", "kernel_id": "54312846"}, {"ref": "mmrizzo/hms-data-prep", "kernel_id": "54237914"}, {"ref": "kevinxin2612/final-submit", "kernel_id": "54948973"}, {"ref": "majiaqi111/there-model-ensemble-lb0-28-pb0-35", "kernel_id": "54338291"}, {"ref": "aarishasifkhan/harmful-brain-activity-data-augmentation", "kernel_id": "54004862"}, {"ref": "trentwu/three-model-ensemble-gpu100", "kernel_id": "54129956"}, {"ref": "niuniuqi/there-model-ensemble-gpu100-ba2e45", "kernel_id": "54207005"}, {"ref": "dlsladk/cwt-transform", "kernel_id": "54669065"}, {"ref": "gregblast/brain-boy-eeg-modeling", "kernel_id": "54900986"}, {"ref": "gregblast/brain-boy-spectrogram-modeling", "kernel_id": "54762042"}, {"ref": "kotokoonishi/kotoko", "kernel_id": "54651214"}, {"ref": "zachies/gradientboosting", "kernel_id": "54530583"}, {"ref": "lisarosee/fork-of-model1", "kernel_id": "54240163"}, {"ref": "lisarosee/submit-v1", "kernel_id": "54251145"}, {"ref": "sugupoko/1st-place-all-train-code", "kernel_id": "55185117"}, {"ref": "sugupoko/1st-place-hms-inference-code", "kernel_id": "55053905"}, {"ref": "nursentore/brainactivity-nursen", "kernel_id": "55551944"}, {"ref": "naveengeorge/pipeline-transform-filter-model-timm", "kernel_id": "55083702"}, {"ref": "rohitprasad612/final", "kernel_id": "55865651"}, {"ref": "chanchal24/brain-tumor-image-classification-using-dl", "kernel_id": "55567720"}, {"ref": "gothos01/hms-hbac-project-transformers", "kernel_id": "55061020"}, {"ref": "kevinmeng2001/552-final-project", "kernel_id": "55241525"}, {"ref": "ninaadlakshman/neuroguard-deeptop-cwt-first-processing", "kernel_id": "55734023"}, {"ref": "sameenamujawar/sm-hba-hms-detailed-presentation", "kernel_id": "55241527"}, {"ref": "sameenamujawar/sm-hms-hba-final-report", "kernel_id": "55875990"}, {"ref": "abhinavlodha/densenetbasic", "kernel_id": "55281690"}, {"ref": "brenolfreitas/breno-freitas-combined-models-v1", "kernel_id": "55718278"}, {"ref": "dlsladk/cwt-stft-kag", "kernel_id": "55082608"}, {"ref": "judahrowe1/start", "kernel_id": "55402564"}, {"ref": "kotokoonishi/kotoko-hms", "kernel_id": "55651559"}, {"ref": "pvsekhar123/hms-resnet1d-gru-inference-notebook", "kernel_id": "55084012"}, {"ref": "pvsekhar123/hms-resnet1d-gru-train-notebook", "kernel_id": "55084078"}, {"ref": "pvsekhar123/ensemble-model", "kernel_id": "55091651"}, {"ref": "slovnoyaegiptianin/notebook981f6984ad", "kernel_id": "55543243"}, {"ref": "zhen7lin/team-2-inference", "kernel_id": "56205476"}, {"ref": "zhen7lin/3rd-place-solution", "kernel_id": "56156338"}, {"ref": "zhen7lin/1st-place-hms-inference-code", "kernel_id": "56156452"}, {"ref": "cooolz/2nd-place-solution", "kernel_id": "56682794"}, {"ref": "worawittepsan/notebook2f9a895686", "kernel_id": "56169762"}, {"ref": "raunakkrishanjaiswal/hms-deeplearning-rk", "kernel_id": "56723129"}, {"ref": "raunakkrishanjaiswal/hms-efficientnet", "kernel_id": "56820238"}, {"ref": "raunakkrishanjaiswal/final-eda-hms-raunak", "kernel_id": "56977202"}, {"ref": "raunakkrishanjaiswal/hms-resnet", "kernel_id": "56895551"}, {"ref": "phanlannnnn/0-hms-hbac-notebook", "kernel_id": "56233045"}, {"ref": "mohammadmkanna/hms-effnet-train", "kernel_id": "56519340"}, {"ref": "mohammadmkanna/inference-hms", "kernel_id": "56546539"}, {"ref": "mohammadmkanna/eda-hms-competition", "kernel_id": "56391879"}, {"ref": "mariajosesenz/stft-multiscale-cnn-submission-attempt-ee0d06", "kernel_id": "56749975"}, {"ref": "datevik/notebookd6f78aa8b3", "kernel_id": "56078230"}, {"ref": "harrledin/hms-vit-base-multimodal-model", "kernel_id": "56045916"}, {"ref": "dishagusain/vgg16-2", "kernel_id": "56498504"}, {"ref": "dishagusain/effnet-3", "kernel_id": "56471207"}, {"ref": "dishagusain/resnet-50", "kernel_id": "56324782"}, {"ref": "dishagusain/effnet-2", "kernel_id": "56447622"}, {"ref": "daniil19189/exploration-of-data", "kernel_id": "57168545"}, {"ref": "daniil19189/creating-preprocessed-data-set", "kernel_id": "57240570"}, {"ref": "phanlannnnn/notebookcodaa4c61a76", "kernel_id": "57165104"}, {"ref": "kiruthikavajjiravelu/hbac-ml-proj", "kernel_id": "57704605"}, {"ref": "fwgalde/hsm-draft", "kernel_id": "57065954"}, {"ref": "isaiquintanilla/resnet1d-gru", "kernel_id": "57636334"}, {"ref": "christianmariothomas/parkinsons-8model-ext", "kernel_id": "58371972"}, {"ref": "aprilsan/hms-competition", "kernel_id": "58112182"}, {"ref": "zehongwu/hms-densenet-test2", "kernel_id": "58048517"}, {"ref": "fwgalde/eda-analysis", "kernel_id": "58027732"}, {"ref": "mariajosesenz/fork-of-stft-multiscale-cnn", "kernel_id": "58359748"}, {"ref": "samvelkoch/birdclef-interactive-leaderboard-and-shake-up-plot", "kernel_id": "59494896"}, {"ref": "pakawatphasook/bas-eeg-using-wavelet-transformer-denoise", "kernel_id": "59892507"}, {"ref": "sajjadjuel/hms-hbac", "kernel_id": "59865355"}, {"ref": "hemangjindal/mynotebook", "kernel_id": "59679187"}, {"ref": "hemangjindal/wavenet-starter-lb-0-66", "kernel_id": "59925038"}, {"ref": "vasugupta0404/ntcc-in-house", "kernel_id": "59422856"}, {"ref": "sukritiprasad/wavenet-starter-lb-0-66", "kernel_id": "59925322"}, {"ref": "sukritiprasad/notebooke368df9d32", "kernel_id": "59696289"}, {"ref": "hemangjindal/wavenet-starter-lb-0-66-fcae1e", "kernel_id": "60895887"}, {"ref": "vasugupta0404/notebook44c7773753", "kernel_id": "60930237"}, {"ref": "rezkyyagung/hms-try1", "kernel_id": "60122920"}, {"ref": "rezkyyagung/hms-try-3", "kernel_id": "60702800"}, {"ref": "rezkyyagung/feature-extraction-pt-2", "kernel_id": "60775569"}, {"ref": "rupalgarg10/wavenet-starter-lb-0-66", "kernel_id": "60304504"}, {"ref": "rupalgarg10/notebook7b338055cf", "kernel_id": "60405199"}, {"ref": "phanlannnnnnn/hms-hbac-notebook-ok", "kernel_id": "60941083"}, {"ref": "gradientoptimizer/cnn-benchmarking", "kernel_id": "61134239"}, {"ref": "jacobjkeller123/hms-competition", "kernel_id": "61505730"}, {"ref": "rupalgarg10/notebook2dd485fa48", "kernel_id": "61886932"}, {"ref": "rupalgarg10/densenet", "kernel_id": "61576264"}, {"ref": "rupalgarg10/wavenet-starter-lb-0-66-d528c1", "kernel_id": "61039441"}, {"ref": "sarapamplona/competition-notebook", "kernel_id": "61493171"}, {"ref": "magdaaaa/notebook4f81a08164", "kernel_id": "62204082"}, {"ref": "magdaaaa/notebook8ef8407e0c", "kernel_id": "62266173"}, {"ref": "fatemehbolhasani/notebook8ef8407e0c-58a64f", "kernel_id": "62387990"}, {"ref": "escapelikeawind/two-model-ensemble-lb-0-32", "kernel_id": "62265200"}, {"ref": "vaishnanidarsh/25-epochs-new-split-efficientnet", "kernel_id": "62869241"}, {"ref": "egrbg1/harmful-brain-activity-classification-fred4code", "kernel_id": "63105187"}, {"ref": "ansh1012/ankit-hms", "kernel_id": "63279534"}, {"ref": "fundial/hms-harmful-brain-activity-classification", "kernel_id": "64774359"}, {"ref": "zaibunnisaa/hms-eeg-signal-processing-and-vgg19", "kernel_id": "66442163"}, {"ref": "zaibunnisaa/wavelet-transform-thes1", "kernel_id": "66932405"}, {"ref": "raj2004/data-exploration", "kernel_id": "66702770"}, {"ref": "rafatferdous/thesis-thing", "kernel_id": "66788614"}, {"ref": "aryanagarkar/how-to-make-spectrogram-from-eeg", "kernel_id": "66923121"}, {"ref": "aryanagarkar/efficientnetb2-starter-lb-0-57", "kernel_id": "66887786"}, {"ref": "zaibunnisaa/hms-hbac-updated-spectrograms-pt-3", "kernel_id": "67200736"}, {"ref": "priyadharshan27/project", "kernel_id": "67142190"}, {"ref": "narnedheeraj/hms-lstms", "kernel_id": "68134048"}, {"ref": "narnedheeraj/current", "kernel_id": "68178613"}, {"ref": "narnedheeraj/hms-hbac-kerascv-starter-notebook-51af0c", "kernel_id": "68288996"}, {"ref": "mannamganeshvivek/notebook7436eced32", "kernel_id": "68052899"}, {"ref": "sitharthvarsan/hms-hbac-kerascv-starter-notebook-51af0c", "kernel_id": "68326024"}, {"ref": "nihaalshindhe/fullycn", "kernel_id": "70810300"}, {"ref": "nihaalshindhe/resnet34", "kernel_id": "70821364"}, {"ref": "nihaalshindhe/efficientnetb0", "kernel_id": "70823314"}, {"ref": "sohammhatre112/fork-4-of-hms-prrocessing", "kernel_id": "70888467"}, {"ref": "sohammhatre112/fork-1-of-hms-prrocessing", "kernel_id": "70888097"}, {"ref": "sohammhatre112/fork-2-of-hms-prrocessing", "kernel_id": "70888325"}, {"ref": "sohammhatre112/fork-3-of-hms-prrocessing", "kernel_id": "70888391"}, {"ref": "samithanawarathna/harmful-brain-activity-classifier-with-cnn", "kernel_id": "70856980"}, {"ref": "manthanvijaybarhate/kaggle-hms", "kernel_id": "70870343"}, {"ref": "manthanvijaybarhate/fork-5-of-hms-prrocessing", "kernel_id": "70889790"}, {"ref": "manthanvijaybarhate/fork-6-of-hms-prrocessing", "kernel_id": "70889898"}, {"ref": "manthanvijaybarhate/fork-8-of-hms-prrocessing", "kernel_id": "70890022"}, {"ref": "manthanvijaybarhate/fork-7-of-hms-prrocessing", "kernel_id": "70889970"}, {"ref": "manthanvijaybarhate/fork-9-of-hms-prrocessing", "kernel_id": "70890107"}, {"ref": "hemnathkopula/efficientnetb0", "kernel_id": "70844865"}, {"ref": "hemnathkopula/fullycn", "kernel_id": "70848338"}, {"ref": "hemnathkopula/resnet34", "kernel_id": "70847874"}, {"ref": "whdhdyt/hms-spectrogram-cnn-data-augmentation", "kernel_id": "71365122"}, {"ref": "zyh1104/039-hms-harmful-brain-activity-classification", "kernel_id": "71670832"}, {"ref": "nihaalshindhe/pre-trained", "kernel_id": "71301772"}, {"ref": "nabeel667/fyp-project-seizure-detection", "kernel_id": "71166545"}, {"ref": "ojaskalia/submission-csv", "kernel_id": "71062868"}, {"ref": "hemnathkopula/efficientnetb0-518d39", "kernel_id": "71296697"}, {"ref": "magedaliahmed/hms-harmful-brain-activity-pred-using-vaes", "kernel_id": "72094487"}, {"ref": "devidasmhatre/efficientnetb2-circular-eeg", "kernel_id": "72762080"}, {"ref": "vedantvatsa/hms-hbac-kerascv-starter-notebook-1eb700", "kernel_id": "73506807"}, {"ref": "protobioengineering/digital-signals-frequency-filters-in-python", "kernel_id": "73499436"}, {"ref": "magedaliahmed/notebook8c5eebbe00", "kernel_id": "73683838"}, {"ref": "huangziyue17/2022-2-17-ex01", "kernel_id": "73815993"}, {"ref": "sourav230/eeg-fdm", "kernel_id": "73266248"}, {"ref": "raj2004/ablation-ready", "kernel_id": "74555979"}, {"ref": "rajaryantk/metrics-commit-share", "kernel_id": "74547631"}, {"ref": "jerrinv/brain", "kernel_id": "75222732"}, {"ref": "vedantvatsa/notebookd741afc6c8", "kernel_id": "75203306"}, {"ref": "vedantvatsa/notebook8b4b444e2e", "kernel_id": "75182212"}, {"ref": "aryanmaingi/convexnetsmall", "kernel_id": "75565932"}, {"ref": "abhiyanampally/notebookbcbb633c49", "kernel_id": "75142863"}, {"ref": "xiia158rajaryan/metrics-commit", "kernel_id": "75431310"}, {"ref": "vedantvatsa26/notebookea1cb60353", "kernel_id": "75193043"}, {"ref": "navvvgupta1/hms-resnet1d-gru-inference-1-5-dataset", "kernel_id": "75468621"}, {"ref": "navvvgupta1/btp-abhinav-gpta", "kernel_id": "75513057"}, {"ref": "navvvgupta1/3-model-approach", "kernel_id": "75336407"}, {"ref": "vedantvatsa21bce1172/notebook9580aaf82f", "kernel_id": "75517373"}, {"ref": "vedantvatsa21bce1172/notebook10a568fbae", "kernel_id": "75560805"}, {"ref": "ashoksingh5972/cnn-efficientnet", "kernel_id": "75793358"}, {"ref": "thithanhqucthnh/exploring-eeg-a-beginner-s-guide", "kernel_id": "76600796"}, {"ref": "mohamedrajab/eeg-gp", "kernel_id": "77297924"}, {"ref": "saribmemon/fyp-final-file", "kernel_id": "77436497"}, {"ref": "mohamedalaaelsayad/eegmodelv2-notebook", "kernel_id": "77481620"}, {"ref": "jyothiswarooppatta/data-processing", "kernel_id": "77591987"}, {"ref": "ashoksingh5972/hms-implementation", "kernel_id": "77369441"}, {"ref": "amritarajput54/hms-neurobanshee", "kernel_id": "78376371"}, {"ref": "sitharthvarsan/fork-of-hms-hbac-kerascv-starter-notebook-eaba6a", "kernel_id": "78386292"}, {"ref": "sitharthvarsan/fork-of-hms-hbac-kerascv-starter-notebook-ee409f", "kernel_id": "78386421"}, {"ref": "enderonat/g-sterdi-imiz-3d-model", "kernel_id": "78629316"}, {"ref": "ashoksingh5972/hms-simclr-implementation", "kernel_id": "78360866"}, {"ref": "ashoksingh5972/hms-simclr-implementation-few-negative-pairs", "kernel_id": "78818317"}, {"ref": "ashoksingh5972/hms-vae-implementation", "kernel_id": "78890049"}, {"ref": "sairajeshvelagana/coeff-analysis", "kernel_id": "78278626"}, {"ref": "m4ntyop/eeg-spectrogram", "kernel_id": "79250937"}, {"ref": "kunshsabharwal/retnet-eeg-code", "kernel_id": "79483073"}, {"ref": "sankalp234/harmful-brain-activity", "kernel_id": "79302762"}, {"ref": "talhaaaaaaaaaaaa/eegharmful", "kernel_id": "79206547"}, {"ref": "deepak412/hms-dataexplore-cnn", "kernel_id": "80606096"}, {"ref": "sadikul1500/hms-starter", "kernel_id": "80818164"}, {"ref": "sadikul1500/efficientnetb2-starter-lb-0-57", "kernel_id": "80445416"}, {"ref": "calebchandrasekar/hms-hbac-kerascv-starter-notebook", "kernel_id": "80853585"}, {"ref": "sairajesh6/vit-model", "kernel_id": "80424543"}, {"ref": "mrfrqa/3d-cnd-o", "kernel_id": "80002159"}, {"ref": "gauravghatuary/brain-eeg-classification", "kernel_id": "80477762"}, {"ref": "yadnyeshpatil4/hms-hbac-kerascv-starter-notebook", "kernel_id": "80708106"}, {"ref": "enderonat/daha-h-zl-olmas-beklenen-3d-model", "kernel_id": "80219582"}, {"ref": "enderonat/test-2", "kernel_id": "80220120"}, {"ref": "enderonat/parametre-de-i-imli", "kernel_id": "80090654"}, {"ref": "enderonat/test-1", "kernel_id": "80091484"}, {"ref": "kunshsabharwal/transformer-code-for-eeg", "kernel_id": "80500188"}, {"ref": "lynx69/hms-hbac-kerascv-starter-notebook", "kernel_id": "80719557"}, {"ref": "andreaslutz/harmful-brain-activity-classification", "kernel_id": "80355480"}, {"ref": "sairajeshvelagana/vit-model", "kernel_id": "80408422"}, {"ref": "oumiaoli/probabilistic-classification-of-epileptic-patterns", "kernel_id": "80390642"}, {"ref": "madhumitagayen/mtp-effnetv2", "kernel_id": "80908367"}, {"ref": "sadikul1500/hms-raw-eeg-cnn", "kernel_id": "81855889"}, {"ref": "sadikul1500/hms-resnet", "kernel_id": "81189950"}, {"ref": "liutun/cnn-lstm", "kernel_id": "81304890"}, {"ref": "mrfrqa/inceptionresnet", "kernel_id": "81433385"}, {"ref": "mrfrqa/resnetv2", "kernel_id": "81429455"}, {"ref": "mrfrqa/inceptionresnet-v2", "kernel_id": "81846141"}, {"ref": "mrfrqa/resnetv2-v2", "kernel_id": "81846183"}, {"ref": "apoteosechannel/s-o-m-eeg-harmonic-frame-viewer", "kernel_id": "81076018"}, {"ref": "enderonat/densenet121", "kernel_id": "81427143"}, {"ref": "kunshsabharwal/vgg16-eeg-code", "kernel_id": "81227530"}, {"ref": "kunshsabharwal/efficientnet-eeg-code", "kernel_id": "81712346"}, {"ref": "sankalp234/preprocessing", "kernel_id": "81357649"}, {"ref": "alexisjohannson/final-t3-dain-code", "kernel_id": "81867751"}, {"ref": "alexisjohannson/final-fp1-dain-code", "kernel_id": "81801497"}, {"ref": "sadikulhaquesadi/efficientnetb2-hms-eeg", "kernel_id": "82804433"}, {"ref": "sadikul1500/eeg-3d-cnn-torch", "kernel_id": "82345772"}, {"ref": "shunsukekikuchi/starter-notebook", "kernel_id": "82586819"}, {"ref": "vijaykumarbk/harmful-brain-activity-e74c28", "kernel_id": "82747418"}, {"ref": "enderonat/resnet-fine-tuning", "kernel_id": "82279744"}, {"ref": "enderonat/notebookf16bb65ad4", "kernel_id": "82016279"}, {"ref": "enderonat/vision-transformer", "kernel_id": "82676146"}, {"ref": "madhumitagayen/gru-model", "kernel_id": "82613267"}, {"ref": "madhumitagayen/prototypicalnet", "kernel_id": "82813613"}, {"ref": "shunsukekikuchi/1d-inference", "kernel_id": "83630942"}, {"ref": "vijaykumarbk/preprocessing-e47482", "kernel_id": "83471037"}, {"ref": "vijaykumarbk/svm-model-new", "kernel_id": "83364082"}, {"ref": "vijaykumarbk/lstm-rnn", "kernel_id": "83877916"}, {"ref": "shreyasbharadwajhi/final-cnn", "kernel_id": "83812695"}, {"ref": "sankalp234/random-forest", "kernel_id": "83376179"}, {"ref": "sankalp234/models", "kernel_id": "83707732"}, {"ref": "sankalp234/svm-code", "kernel_id": "83808698"}, {"ref": "madhumitagayen/protonet", "kernel_id": "83240946"}, {"ref": "shunsukekikuchi/resnet-submit", "kernel_id": "84031052"}, {"ref": "vijaykumarbk/models-svm", "kernel_id": "84192970"}, {"ref": "ashoksingh5972/hms-resnet101-lr-v1-full-dataset", "kernel_id": "84131648"}, {"ref": "madhumitagayen/protonet-1", "kernel_id": "84054494"}, {"ref": "wenzhedeng/hbac-wenzhe-deng-quanrui-chen-phys417", "kernel_id": "84166432"}, {"ref": "qqrchen/phys417", "kernel_id": "84632141"}, {"ref": "ashok2000singh/hms-using-efficientnet-new", "kernel_id": "85194025"}, {"ref": "sunyuri/hms-vipeegnet", "kernel_id": "85602456"}, {"ref": "jagan999/hms-jagan", "kernel_id": "85815427"}, {"ref": "ezgigmtekin/biomedical-sp", "kernel_id": "85113249"}, {"ref": "mohamedalaaelsayad/eeg-model-n", "kernel_id": "85201745"}, {"ref": "joaoguiz/notebook8dec934f32", "kernel_id": "85855254"}, {"ref": "kungsuk/hms-cnn-final", "kernel_id": "86950813"}, {"ref": "kungsuk/hms-jagan-2", "kernel_id": "86880705"}, {"ref": "kungsuk/hms-lstm-final", "kernel_id": "86888824"}, {"ref": "gauripatil2299/hms-harmful-brain-activity-classification", "kernel_id": "87104158"}, {"ref": "umerellous/harmful-brain-activity-classification", "kernel_id": "88436490"}, {"ref": "kunshsabharwal/explainable-ai-on-retnet", "kernel_id": "88587927"}, {"ref": "kunshsabharwal/explainable-ai", "kernel_id": "88656821"}, {"ref": "sudipchakrabarty/hms-harmful-brain-activity-classsification", "kernel_id": "89689045"}, {"ref": "kookmindoo/kiss-slam2", "kernel_id": "91200214"}, {"ref": "jonassalaheldin/deep-learning-project", "kernel_id": "92232688"}, {"ref": "bilalhaider639/thesis-notebook", "kernel_id": "93744923"}, {"ref": "enderonat/veriyi-resim-haline-getirme", "kernel_id": "95492072"}, {"ref": "enderonat/2d-3d-spectrograms", "kernel_id": "96103677"}, {"ref": "joaoguiz/eeg-tcc", "kernel_id": "98041801"}, {"ref": "samahmud30/cse-527-tcn-model", "kernel_id": "104966493"}, {"ref": "samahmud30/cse-527-gcn-model", "kernel_id": "104952369"}, {"ref": "samahmud30/cse-527-xgboost-model", "kernel_id": "104937232"}, {"ref": "samahmud30/cse-527-eeg-transformer-model", "kernel_id": "104941997"}, {"ref": "samahmud30/cse-527-tcn-model-1", "kernel_id": "104992125"}, {"ref": "bigrem/waveletanalysisoneeg", "kernel_id": "105364970"}, {"ref": "coderiderai/hms-adacore-logic-based", "kernel_id": "108552854"}, {"ref": "enderonat/notebook7296c30396", "kernel_id": "109717587"}, {"ref": "aligad2/eeg-model", "kernel_id": "110335292"}, {"ref": "borisenkogeorgiy/seminar", "kernel_id": "111404835"}, {"ref": "ashok2000singh/hms-overview", "kernel_id": "114774180"}, {"ref": "prithwiserver/hms-dataexplore-cnn", "kernel_id": "114394814"}, {"ref": "prithwiserver/notebookd7bd490507", "kernel_id": "115166050"}, {"ref": "laiclement/notebook647e4ed9e6", "kernel_id": "116991741"}, {"ref": "whdhdyt/hms-efficientnetv2", "kernel_id": "116223612"}, {"ref": "olgakornieva/hms-hbac-baseline", "kernel_id": "116096620"}, {"ref": "olgakornieva/kaggle-hms-olga", "kernel_id": "116838397"}, {"ref": "olgakornieva/audioml-olgakornieva-additionaltask", "kernel_id": "116850584"}, {"ref": "wahidhaji/hms-efficientnetv2", "kernel_id": "116431337"}, {"ref": "jarodkelly/hms-notebook", "kernel_id": "117591761"}, {"ref": "kornievaolga/notebook08a8467fdc", "kernel_id": "117358099"}, {"ref": "ariztahoor/hms-research-paper", "kernel_id": "125432492"}, {"ref": "xiaosufrankhu/midas-summer-hms-eeg-eda", "kernel_id": "126982341"}, {"ref": "xiaosufrankhu/midas-summer-hms-eeg-xgboost", "kernel_id": "126980770"}, {"ref": "xiaosufrankhu/midas-summer-hms-eeg-1d-cnn-eegnet", "kernel_id": "126978241"}, {"ref": "xiaosufrankhu/midas-summer-hms-eeg-2d-cnn", "kernel_id": "126712713"}, {"ref": "aarthyshree0506/notebookc8e7938b2e", "kernel_id": "129351816"}, {"ref": "louis327/midas-summer-hms-eeg-xgboost", "kernel_id": "129187884"}]}
{"competition_id": "59094", "kernels": [{"ref": "alexandervc/mmscel-genes-enrichment-gseapy-examples-01", "kernel_id": "33808339"}, {"ref": "asimadnan/understanding-single-cell-analysis", "kernel_id": "43407778"}, {"ref": "pablormier/op2-biologically-aware-dimensionality-reduction", "kernel_id": "43611546"}, {"ref": "slickwilly/compound-featurization", "kernel_id": "43210473"}, {"ref": "awater1223/op2-02-pseudobulk-v1", "kernel_id": "43450972"}, {"ref": "awater1223/op2-00-basic-metadata-eda", "kernel_id": "43310290"}, {"ref": "awater1223/op2-01-singlecell-adata-eda", "kernel_id": "43353215"}, {"ref": "moleculadesigner/op2-chemical-space", "kernel_id": "43656475"}, {"ref": "qihuaz/mean-rowwise-root-mean-squared-error", "kernel_id": "43300123"}, {"ref": "alexandervc/cptac-1", "kernel_id": "43146996"}, {"ref": "alexandervc/op2-eda-baseline-s", "kernel_id": "43137526"}, {"ref": "alexandervc/op2-models-cv-tuning", "kernel_id": "43295282"}, {"ref": "alexandervc/op2-pytorch-embeddings-for-beginners", "kernel_id": "43415624"}, {"ref": "alexandervc/op2-rna-seq-data-to-sparse-matrix", "kernel_id": "43772492"}, {"ref": "alexandervc/op2-rna-seq-data-scanpy-adata-cell-cycle", "kernel_id": "43774081"}, {"ref": "yoshifumimiya/analysis-with-normal-distribution-and-ranking", "kernel_id": "43320239"}, {"ref": "yoshifumimiya/op2-pycombat", "kernel_id": "43543248"}, {"ref": "stpeteishii/open-problems-data-view", "kernel_id": "43140846"}, {"ref": "stpeteishii/de-train-rdkit-molecule-image", "kernel_id": "43411184"}, {"ref": "bhavesh1335/open-problems-single-cell-perturbations-notebook", "kernel_id": "43517182"}, {"ref": "hiramcho/open-problems-chemical-descriptors-langchain", "kernel_id": "43115529"}, {"ref": "mpwolke/pysmiles-rdkit-scperturbations", "kernel_id": "43113746"}, {"ref": "jay12332/single-cell-perturbatio-machine-learning-analysis", "kernel_id": "43253563"}, {"ref": "masato114/scp-quickstart-another-cv-strategy", "kernel_id": "43974430"}, {"ref": "radhakrishnanb/studying-gene-expressions", "kernel_id": "43374284"}, {"ref": "mehrankazeminia/1-op2-eda-linearsvr-regressorchain", "kernel_id": "43674612"}, {"ref": "mehrankazeminia/2-op2-regressor-chain", "kernel_id": "43827424"}, {"ref": "zmcxjt/streamlined-baseline-approach", "kernel_id": "43270305"}, {"ref": "pavelabr/explore-dispersions-of-p-values", "kernel_id": "43416376"}, {"ref": "dangnguyen97/linearsvr", "kernel_id": "43766150"}, {"ref": "hosen42/open-problems-single-cell-perturbations", "kernel_id": "43267747"}, {"ref": "jocelyndumlao/cell-perturbations-insights-analysis", "kernel_id": "43212111"}, {"ref": "jocelyndumlao/smiles-unveiled-mastering-molecular-notation", "kernel_id": "43630832"}, {"ref": "jocelyndumlao/smiles", "kernel_id": "43578642"}, {"ref": "yusaku5739/clustering-of-drugs-using-chemical-fingerprint", "kernel_id": "43434935"}, {"ref": "yusaku5739/visualization-of-gene-expression-using-umap", "kernel_id": "43348642"}, {"ref": "ambrosm/scp-quickstart", "kernel_id": "43644068"}, {"ref": "rafaelmmoraes/op2-training-base-models", "kernel_id": "43762100"}, {"ref": "alekseytrepetsky/create-chemberta-embed", "kernel_id": "43359921"}, {"ref": "meeratif/smiles-open-problems", "kernel_id": "43132447"}, {"ref": "meeratif/open-problems-a-visual-story", "kernel_id": "43129266"}, {"ref": "dietzschenostoevsky/single-cell-perturbations-checklist", "kernel_id": "43233996"}, {"ref": "amanmukati/single-cells-perturbations-1", "kernel_id": "43319555"}, {"ref": "ayushs9020/understanding-the-competition-open-problems", "kernel_id": "43182320"}, {"ref": "vaibhavkumarbirajdar/open-problems-single-cell-perturbations", "kernel_id": "43556737"}, {"ref": "arifwani21/analysis-of-open-problems-single-cell-peturbatoion", "kernel_id": "43396266"}, {"ref": "alinacram/pytorch-solution", "kernel_id": "43986698"}, {"ref": "insiyajafferji/op-single-cell-pca-variance-kmeans-plots", "kernel_id": "43306089"}, {"ref": "insiyajafferji/op-single-cell-dataset-and-cell-type-distribution", "kernel_id": "43237929"}, {"ref": "nazimcherpanov/single-cell-perturbations", "kernel_id": "43216632"}, {"ref": "chrisk321/single-cell-perturbations-eda-submission-in-r", "kernel_id": "43390483"}, {"ref": "vendekagonlabs/jax-autoencoder-quickstart", "kernel_id": "43778169"}, {"ref": "vendekagonlabs/small-molecules-histograms", "kernel_id": "43924479"}, {"ref": "vendekagonlabs/op2-single-cell-eda-10x-multiome", "kernel_id": "43426328"}, {"ref": "vendekagonlabs/supplemental-compound-info", "kernel_id": "43545085"}, {"ref": "vendekagonlabs/op2-pathway-enrichment", "kernel_id": "43543196"}, {"ref": "vendekagonlabs/come-on-chemicals-r-version", "kernel_id": "43507166"}, {"ref": "laxminarayanasahu/single-cell-patribution", "kernel_id": "43269775"}, {"ref": "antoninadolgorukova/op2-drugbank-data-for-compounds-eda", "kernel_id": "43864041"}, {"ref": "antoninadolgorukova/op2-bl-submission", "kernel_id": "43486834"}, {"ref": "antoninadolgorukova/op2-stats-sign-de-fingerprints-eda", "kernel_id": "43322830"}, {"ref": "antoninadolgorukova/op2-feature-engineering", "kernel_id": "43404470"}, {"ref": "iamabhaytiwari/data-visualization-notebook", "kernel_id": "43468312"}, {"ref": "colewelkins/pert30", "kernel_id": "43208944"}, {"ref": "spookyboogy/scop2", "kernel_id": "43726747"}, {"ref": "shunsukekikuchi/smiles", "kernel_id": "43484226"}, {"ref": "laurasisson/exploring-the-lincs-gene-metadata", "kernel_id": "43803931"}, {"ref": "xueerchen/first-look-at-scgpt-s-genes", "kernel_id": "44839289"}, {"ref": "awater1223/op2-05-preprocessing-compare", "kernel_id": "44396473"}, {"ref": "awater1223/op2-06-scvi", "kernel_id": "44699613"}, {"ref": "awater1223/op2-03-limma", "kernel_id": "44164996"}, {"ref": "awater1223/op2-02-pseudobulk-v2", "kernel_id": "44160228"}, {"ref": "awater1223/op2-04-merge-limma-results", "kernel_id": "44214902"}, {"ref": "awater1223/op2-02-pseudobulk-v3", "kernel_id": "44793697"}, {"ref": "alexandervc/op2-advanced-modeling-tuning-featengineering-etc", "kernel_id": "44229945"}, {"ref": "alexandervc/op2-class-for-custom-cv-schemes", "kernel_id": "44959553"}, {"ref": "alexandervc/op2-kishan-s-nn-streamlined-and-blended", "kernel_id": "44959527"}, {"ref": "yoshifumimiya/op2-about-positive-control", "kernel_id": "44342217"}, {"ref": "yoshifumimiya/op2-b-and-m-cells-specific-gene-expression", "kernel_id": "44712053"}, {"ref": "wguesdon/op2-genes-ontology-analysis", "kernel_id": "44932159"}, {"ref": "wguesdon/op2-smiles-and-gene-ontology-encoding-xgboost", "kernel_id": "44870194"}, {"ref": "gipalm/fast-search-pandas", "kernel_id": "44435537"}, {"ref": "lonnieqin/single-cell-perturbations-with-mean-prediction", "kernel_id": "44909096"}, {"ref": "lonnieqin/single-cell-perturbation-with-conv1d", "kernel_id": "44766481"}, {"ref": "willianpina/competition-overview-new-explanations", "kernel_id": "44067008"}, {"ref": "jankowalski2000/3rd-place-solution-single-cell-perturbations", "kernel_id": "44579460"}, {"ref": "chesterx/op2-better-weights-slightly-better-than-0-59", "kernel_id": "44734451"}, {"ref": "inoue0426/notebooka6e375df09", "kernel_id": "44185929"}, {"ref": "inoue0426/autoencoder-from-known-comb-to-unknown-w-drug", "kernel_id": "44183231"}, {"ref": "jeskowagner/converting-input-files-to-anndata", "kernel_id": "44093704"}, {"ref": "pepoabdo/jax-autoencoder-quickstart", "kernel_id": "44536655"}, {"ref": "alinacram/kneighbors-regressor-solution", "kernel_id": "44754663"}, {"ref": "alinacram/decisiontreeregressor-solution", "kernel_id": "44653968"}, {"ref": "alinacram/add-inputs-pytorch-solution", "kernel_id": "44842347"}, {"ref": "insiyajafferji/op-differences-in-umap-with-small-molecules", "kernel_id": "44975516"}, {"ref": "shadie520/chemberta-nn-regression", "kernel_id": "44112061"}, {"ref": "gkhanergen/cnn-model", "kernel_id": "44307216"}, {"ref": "lushengli/1-op2-eda-linearsvr-regressorchain-5e935c", "kernel_id": "44096123"}, {"ref": "enricomanosperti/single-cell-perturbations", "kernel_id": "44230408"}, {"ref": "antoninadolgorukova/op2-adata-analysis-with-seurat", "kernel_id": "44691230"}, {"ref": "kishanvavdara/neural-network-regression", "kernel_id": "44024049"}, {"ref": "kishanvavdara/nlp-regression", "kernel_id": "44104078"}, {"ref": "melikekurtt/my-demo-comp", "kernel_id": "44710299"}, {"ref": "joelsiby02/abt-randomforestregressor", "kernel_id": "44078366"}, {"ref": "serhiikharchuk/my-chatexpruen-gptj-with-gradio", "kernel_id": "44059260"}, {"ref": "laurasisson/leveraging-lincs-for-dataset-augmentation", "kernel_id": "44441749"}, {"ref": "lainer92/neural-network-regression", "kernel_id": "44926124"}, {"ref": "doxonjohnson/streamlined-baseline-approach-6eb25a", "kernel_id": "44016876"}, {"ref": "doxonjohnson/1-op2-eda-linearsvr-regressor-nn-kishan", "kernel_id": "44371671"}, {"ref": "usharengaraju/keras-tabtransformer-w-b", "kernel_id": "45075417"}, {"ref": "erotar/fork-of-nlp-regression-12a31a", "kernel_id": "45946550"}, {"ref": "alexandervc/op2-gentle-param-tuner", "kernel_id": "45470431"}, {"ref": "alexandervc/ensemble-op-correlation-analysis", "kernel_id": "45521908"}, {"ref": "alexandervc/op2-target-encoders", "kernel_id": "45271152"}, {"ref": "alexandervc/op2-category-encoders-chembert-fingerpints-moldes", "kernel_id": "45110452"}, {"ref": "alexandervc/pyboost-secret-grandmaster-s-tool", "kernel_id": "45734313"}, {"ref": "alexandervc/op2-submits-correlations-and-analysis", "kernel_id": "45656218"}, {"ref": "fighter001/cell-analysis", "kernel_id": "45162099"}, {"ref": "shuhuiwang1/op2-03-limma", "kernel_id": "45066707"}, {"ref": "wguesdon/op2-xgboost-optuna", "kernel_id": "45060595"}, {"ref": "hhache/scp-blends-streamlined", "kernel_id": "45651194"}, {"ref": "mehrankazeminia/3-op2-feature-augment-fragments-of-smiles", "kernel_id": "45219165"}, {"ref": "josephkibira/single-cell-pertubations-competitions", "kernel_id": "45180854"}, {"ref": "mirenaborisova/scp-pca-lb-0-627", "kernel_id": "45155385"}, {"ref": "mirenaborisova/scp-mean-median-quantile-lb-0-638", "kernel_id": "45097388"}, {"ref": "mirenaborisova/scp-data-preprocessing-lb-0-602", "kernel_id": "45642024"}, {"ref": "mirenaborisova/scp-ensembling-submissions-lb-0-542", "kernel_id": "45743609"}, {"ref": "mirenaborisova/scp-metrics-mrrmse-r2-score", "kernel_id": "45981489"}, {"ref": "mirenaborisova/scp-lgb-best-optuna-params", "kernel_id": "45859225"}, {"ref": "miteshadake/3-op2-feature-augmentation-7cf3cf", "kernel_id": "45269010"}, {"ref": "miteshadake/op2-eda-linearsvr-regressor", "kernel_id": "45066127"}, {"ref": "chesterx/0-584-feature-augmentation-lightgbm", "kernel_id": "45617396"}, {"ref": "superdanielshao/op2-multivi-for-additional-cell-embeddings", "kernel_id": "45101005"}, {"ref": "bbhaswati/regression-with-neural-network-in-pytorch", "kernel_id": "45197063"}, {"ref": "altynbulmers/scp-blend-0-580", "kernel_id": "45800136"}, {"ref": "raniahelmy/op-scp-eda", "kernel_id": "45241688"}, {"ref": "shadie520/graph-attention-networks-baseline", "kernel_id": "45567783"}, {"ref": "lushengli/jax-autoencoder-quickstart", "kernel_id": "45659253"}, {"ref": "antoninadolgorukova/op2-analysis-of-different-models-predictions", "kernel_id": "45619845"}, {"ref": "antoninadolgorukova/op2-simple-mlp-part-of-13th-place-solution", "kernel_id": "45732038"}, {"ref": "arpitytlinux/smilesto2darray", "kernel_id": "45426455"}, {"ref": "jjleesunny/0-583-ensemble-submition-op", "kernel_id": "45239611"}, {"ref": "nikolenkosergei/op2-category-encoders-chembert-fingerpints-moldes", "kernel_id": "45158812"}, {"ref": "sridharnomulas/sridhar-pt", "kernel_id": "45496792"}, {"ref": "frenio/open-problems-super-ensemble-submission", "kernel_id": "45215802"}, {"ref": "shunsukekikuchi/nn-trial", "kernel_id": "45100040"}, {"ref": "goodyvesning/op-scp-lgbm", "kernel_id": "45340522"}, {"ref": "goodyvesning/op-scp-xgb", "kernel_id": "45598302"}, {"ref": "goodyvesning/op-scp-svm-1", "kernel_id": "45631585"}, {"ref": "goodyvesning/rapids", "kernel_id": "45821781"}, {"ref": "user327934/pyboost-secret-grandmaster-s-tool", "kernel_id": "46369647"}, {"ref": "user327934/experiments-pyboost-secret-grandmaster-s-tool", "kernel_id": "46255694"}, {"ref": "user327934/blend-for-single-cell-perturbations", "kernel_id": "46153110"}, {"ref": "makio323/pyboost-secret-grandmaster-s-tool-0-592", "kernel_id": "46406766"}, {"ref": "makio323/fork-of-nlp-regression-12a31a-0-594", "kernel_id": "46001531"}, {"ref": "aemulcahy/using-pywgcna-to-find-gene-modules", "kernel_id": "46055732"}, {"ref": "aemulcahy/tda-with-3-d-shape-persistent-homology-features", "kernel_id": "46381712"}, {"ref": "marangoz/data-tan-ma", "kernel_id": "46217593"}, {"ref": "asimandia/fork-of-fork-of-nlp-regression-12a31a-2fe170", "kernel_id": "46307084"}, {"ref": "asimandia/kfold-simple-nn-refactored", "kernel_id": "46101955"}, {"ref": "asimandia/fork-of-nlp-regression-12a31a-2fe170", "kernel_id": "46094120"}, {"ref": "gefen8/pyboost-secret-grandmaster-s-tool", "kernel_id": "46425371"}, {"ref": "gefen8/scp-pyboost-lb-0-568", "kernel_id": "46426555"}, {"ref": "bejeweled/scp-ct-stratified-mrrmse-tf-lstm-smiles", "kernel_id": "46805424"}, {"ref": "bejeweled/scp-blend-own", "kernel_id": "46887556"}, {"ref": "bejeweled/scp-pseudo50-ct-strat-mrrmse-tf-smilesv", "kernel_id": "46995290"}, {"ref": "vinitkp/cell-experiment", "kernel_id": "46802903"}, {"ref": "vinitkp/eda-baseline-s", "kernel_id": "46922226"}, {"ref": "alexandervc/nlp-regression-custom-kfold-update1", "kernel_id": "46471394"}, {"ref": "alexandervc/op2-cv-vs-lb-analysis-u900-team", "kernel_id": "46337275"}, {"ref": "alexandervc/op2-models-diversity-analysis-u900-team", "kernel_id": "46588199"}, {"ref": "alexandervc/fork-of-op2-oof-new-folds-v4-nnohe", "kernel_id": "46930853"}, {"ref": "alexandervc/op2-u900-team-blend", "kernel_id": "46822852"}, {"ref": "alexandervc/fork-of-op2-oof-new-folds-v3-catboost", "kernel_id": "46813097"}, {"ref": "visualcomments/clustermap", "kernel_id": "46425157"}, {"ref": "hideyukizushi/op-train-inf-exp003-lstm", "kernel_id": "46115532"}, {"ref": "dxdydx/pyboost-secret-grandmaster-s-tool", "kernel_id": "46464945"}, {"ref": "mehrankazeminia/80-3-op2-feature-augmentation", "kernel_id": "46101417"}, {"ref": "al2953072/only-lb-dont-select-as-final-submission-ens-f65bbe", "kernel_id": "46640451"}, {"ref": "al2953072/blend-for-single-cell-perturbations-8f60c2", "kernel_id": "46700383"}, {"ref": "mirenaborisova/scp-model-ensembling-lb-0-581", "kernel_id": "46063106"}, {"ref": "mirenaborisova/scp-data-augmentation-lb-0-531", "kernel_id": "46083613"}, {"ref": "mirenaborisova/scp-pyboost-lb-0-543", "kernel_id": "46415134"}, {"ref": "tinatally/singlecell-xgboost", "kernel_id": "46083573"}, {"ref": "ambrosm/scp-eda-which-makes-sense", "kernel_id": "46997315"}, {"ref": "austinvarela/scperturb", "kernel_id": "46415294"}, {"ref": "stasborodynkin/pyboost-secret-grandmaster-s-tool", "kernel_id": "46046140"}, {"ref": "antoninadolgorukova/op2-tricks-and-metrics", "kernel_id": "46465854"}, {"ref": "ivanlydkin/dummy-cell-normalization-idea", "kernel_id": "46323013"}, {"ref": "colewelkins/fortnite-battlepass", "kernel_id": "46219610"}, {"ref": "bhanupratapbiswas/open-problems-single-cell-perturbations", "kernel_id": "46443387"}, {"ref": "bhanupratapbiswas/open-problems-single-cell-perturbations-eda", "kernel_id": "46443861"}, {"ref": "pavrostiva/pyboost-secret-grandmaster-s-tool", "kernel_id": "46460815"}, {"ref": "nikolenkosergei/blend-for-single-cell", "kernel_id": "46428050"}, {"ref": "nikolenkosergei/pyboost-secret-grandmaster-s-tool-106cac", "kernel_id": "46399858"}, {"ref": "nikolenkosergei/pyboost-secret-grandmaster-s-tool-57055b", "kernel_id": "46397882"}, {"ref": "nikolenkosergei/pyboost-secret-grandmaster-s-tool", "kernel_id": "46035799"}, {"ref": "nikolenkosergei/pyboost-secret-grandmaster-s-tool-cfa164", "kernel_id": "46080816"}, {"ref": "frenio/30-op2scp-export-tabmod-nn-embeddings", "kernel_id": "46764697"}, {"ref": "rogercasals/sc-atac", "kernel_id": "46241069"}, {"ref": "scienceenthusiast/effect-of-cell-pertubations-model", "kernel_id": "46107405"}, {"ref": "makio323/24th-using-linear-algebra-priv-pub-0-768-0-582", "kernel_id": "47203055"}, {"ref": "bejeweled/op2-u900-part-of-solution-pytorch-tf-nns", "kernel_id": "47472513"}, {"ref": "alexandervc/op2-explore-4th-place-magic", "kernel_id": "47316104"}, {"ref": "alexandervc/op2-pyboost-blends-late-submits", "kernel_id": "47303876"}, {"ref": "alexandervc/fork-of-op2-oof-new-folds-v5-pyboost-no-tsvd", "kernel_id": "47054678"}, {"ref": "alexandervc/op2-public-vs-private-scores", "kernel_id": "47166126"}, {"ref": "alexandervc/op2-eda-new", "kernel_id": "47094934"}, {"ref": "alexandervc/scp-top10-parta", "kernel_id": "47523322"}, {"ref": "alexandervc/scp-top4b-part-mlp", "kernel_id": "47371533"}, {"ref": "alexandervc/pyboost-u900", "kernel_id": "47753507"}, {"ref": "batprem/58th-private-lb-ensemble-only", "kernel_id": "47110986"}, {"ref": "mori123/single-cell-perturbations-part-a-model-training", "kernel_id": "47490072"}, {"ref": "raki21/4th-place-ensembling", "kernel_id": "47106743"}, {"ref": "raki21/4th-place-lgbm-with-gene-aggregation", "kernel_id": "47261848"}, {"ref": "raki21/4th-place-magic-postprocessing", "kernel_id": "47189712"}, {"ref": "hideyukizushi/op-late-sub-pub530-mymodels-exp1", "kernel_id": "47122300"}, {"ref": "jeannkouagou/1st-place-solution", "kernel_id": "47197662"}, {"ref": "jeannkouagou/submit-best", "kernel_id": "47737471"}, {"ref": "masaishi/opscp-m-nb019", "kernel_id": "47020577"}, {"ref": "ambrosm/scp-26-py-boost-recommender-system-and-et", "kernel_id": "47121287"}, {"ref": "kishanvavdara/4th-place-neural-net", "kernel_id": "47336713"}, {"ref": "popovanastya/scp-xgboost-in-compressed-space", "kernel_id": "47304406"}, {"ref": "frenio/30-op2scp-tabular-model-nn-with-pca10-denoising", "kernel_id": "47310196"}, {"ref": "frenio/30-op2scp-random-forest-with-tabmod-embeds", "kernel_id": "47315561"}, {"ref": "frenio/30-op2scp-xgboosted-forest-with-tabmod-embeds", "kernel_id": "47312502"}, {"ref": "frenio/30-op2scp-transformer-deberta-v3-small-demo", "kernel_id": "47528387"}, {"ref": "frenio/30-op2scp-transformer-tinybiobert-demo", "kernel_id": "47520285"}, {"ref": "frenio/30-op2scp-correlation-of-predictions", "kernel_id": "47648503"}, {"ref": "frenio/30-op2scp-look-at-tabmod-nn-embeddings", "kernel_id": "47613249"}, {"ref": "phoenixzero77/solution-pytorch", "kernel_id": "47916794"}, {"ref": "alexandervc/op-scp-batch-corrections-symphony-etc", "kernel_id": "48546166"}, {"ref": "alexandervc/op2-eda-housekeeping-genes", "kernel_id": "48007505"}, {"ref": "sankkan/op2-eda-housekeeping-genes-sirtuins-autophagy", "kernel_id": "48393839"}, {"ref": "mehrankazeminia/p3-ensembling-correlation", "kernel_id": "48647537"}, {"ref": "insiyajafferji/code-178th-priv-pub-0-759-0-531", "kernel_id": "48229889"}, {"ref": "nikolenkosergei/op2-eda-housekeeping-genes", "kernel_id": "48090880"}, {"ref": "nikolenkosergei/gene-clustermap", "kernel_id": "48522958"}, {"ref": "nikolenkosergei/gene-homology-search", "kernel_id": "48406579"}, {"ref": "nikolenkosergei/zerogeneanalysis-singlecell", "kernel_id": "48707162"}, {"ref": "frenio/30-op2scp-randomforest-with-additional-features", "kernel_id": "48667004"}, {"ref": "alexandervc/scp-u900-scripts-1", "kernel_id": "49990520"}, {"ref": "jalilnourisa/post-eda", "kernel_id": "49008838"}, {"ref": "alexandervc/scp-u900-scripts-0", "kernel_id": "50041211"}, {"ref": "user327934/followup-op-top1", "kernel_id": "51584911"}, {"ref": "alexandervc/scp-top2-version2", "kernel_id": "51632481"}, {"ref": "alexandervc/scp-top2-eliorkalfon-draft", "kernel_id": "51221322"}, {"ref": "aryavinayak/scp-eda-which-makes-sense", "kernel_id": "51202021"}, {"ref": "nikolenkosergei/3rd-place-pseudo", "kernel_id": "51477991"}, {"ref": "alexandervc/scp-top19-iraqbot-only-inference", "kernel_id": "52722987"}, {"ref": "todaya/op2-notebook", "kernel_id": "52895376"}, {"ref": "aryavinayak/opsc-report", "kernel_id": "52215980"}, {"ref": "nikolenkosergei/top-3-no-pseudo", "kernel_id": "52213760"}, {"ref": "user327934/followup-op-top7", "kernel_id": "53335936"}, {"ref": "alexandervc/scp-26-py-boost-recommender-system-and-et", "kernel_id": "53331019"}, {"ref": "alexandervc/scp-top13u900-part1-pyboost", "kernel_id": "53331242"}, {"ref": "alexandervc/scp-top13u900-part2-catboost", "kernel_id": "53332046"}, {"ref": "alexandervc/scp-top4b-part-nlp-regression", "kernel_id": "53336678"}, {"ref": "alexandervc/scp-top8", "kernel_id": "53192980"}, {"ref": "antoninadolgorukova/op2-nn-with-embeds-based-features-fastai-in-r", "kernel_id": "53655916"}, {"ref": "antoninadolgorukova/op2-nn-with-embeds-based-features-torch-in-r", "kernel_id": "53533885"}, {"ref": "ankushhv/opxtinybiobert", "kernel_id": "53782790"}, {"ref": "ganyau/neural-network-regression", "kernel_id": "53501418"}, {"ref": "ganyau/op2-eda-baseline-s", "kernel_id": "53068620"}, {"ref": "nikolenkosergei/top-16-base", "kernel_id": "53071541"}, {"ref": "nikolenkosergei/top-16-enhanced", "kernel_id": "53345182"}, {"ref": "ankushhv/opxmoe", "kernel_id": "56354443"}, {"ref": "ankushhv/opxmoe-v1", "kernel_id": "64902582"}, {"ref": "ankushhv/opxrdkit", "kernel_id": "64989502"}, {"ref": "ankushhv/opxmorgan", "kernel_id": "64991203"}, {"ref": "ganyau/op2-moe", "kernel_id": "64949101"}, {"ref": "ankush2901/opxmorgan", "kernel_id": "64912852"}, {"ref": "ankushhv/opxmoe-mol2vec-rdkit", "kernel_id": "66422834"}, {"ref": "ankushhv/opxmoe-mol2vec-rdkit-morgan", "kernel_id": "66611534"}, {"ref": "ganyau/opxmorgan-95f458", "kernel_id": "66404140"}, {"ref": "aryavinayak/final-mol2vec-rdkit", "kernel_id": "66377492"}, {"ref": "ankushhv/opxmoe-2", "kernel_id": "68067867"}, {"ref": "aryavinayak/baselines-paper-ready", "kernel_id": "74905151"}, {"ref": "ankushhv/sc-moe-embedding-comparision", "kernel_id": "75809075"}, {"ref": "ankush2901/sc-moe-embedding-comparision", "kernel_id": "77061002"}, {"ref": "kyrollosashraf/neural-network-regression", "kernel_id": "78897570"}, {"ref": "yassirdev1/open-problems-single-cell-perturbations", "kernel_id": "121438181"}, {"ref": "yassirdev1/open-problems-singlecell-perturbations", "kernel_id": "121701476"}, {"ref": "kimkiyeont/open-problems-single-cell-perturbations", "kernel_id": "134730249"}]}
{"competition_id": "59109", "kernels": [{"ref": "alvinleenh/6-basic-feature-selection-techniques", "kernel_id": "29878923"}, {"ref": "paddykb/oemc-hackathon-flaml-fapar-logistic-scaling", "kernel_id": "42832068"}, {"ref": "paddykb/ps3e21-evaluate-top-notebooks", "kernel_id": "42456676"}, {"ref": "ayusov/multivariate-normal-model", "kernel_id": "42888136"}, {"ref": "vijaykris/75th-place-playground-s3e21-dissolved-oxygen-predn", "kernel_id": "42496399"}, {"ref": "cv13j0/data-centric-way", "kernel_id": "42338230"}, {"ref": "rishabh15virgo/s3e21-basic-approaches-that-makes-sense-v1-1-369", "kernel_id": "42512741"}, {"ref": "rishabh15virgo/s3e21-feature-selection-outlier-detection-steps", "kernel_id": "42631779"}, {"ref": "rishabh15virgo/s3e21-basic-approaches-remove-row-v3-1-3447", "kernel_id": "42563699"}, {"ref": "rishabh15virgo/s3e21-basic-approaches-improved-score-v2-1-346", "kernel_id": "42562249"}, {"ref": "rishabh15virgo/s3e21-outlier-detection-voting-rows-removal-if", "kernel_id": "42740039"}, {"ref": "docxian/ps-s3-e21-data-centric-oxygen-prediction", "kernel_id": "42342585"}, {"ref": "pratul007/feature-engineering-hyperparameter-tuning", "kernel_id": "42818256"}, {"ref": "ch124uec/eda-outlier-removal-stratified-sampling", "kernel_id": "42338780"}, {"ref": "dhawan123/data-centric-way-statistical-approach", "kernel_id": "42661781"}, {"ref": "dhawan123/data-centric-way-outlier-removal-approach", "kernel_id": "42699331"}, {"ref": "oscarm524/ps-s3-ep21-eda-modeling-submission", "kernel_id": "42334205"}, {"ref": "daaadaaa/s3e21-fixed-model-ctgan", "kernel_id": "42334607"}, {"ref": "kimtaehun/water-quality-prediction-complete-eda-insights", "kernel_id": "42334351"}, {"ref": "viji1609/pgs3-e21-eda-with-trees-visualization", "kernel_id": "42437096"}, {"ref": "samu2505/datacentric-exponentialsmoothing", "kernel_id": "42369810"}, {"ref": "sayedathar11/ps3e21-6-outlier-removal-zscore-method", "kernel_id": "42379854"}, {"ref": "chiranjeevisrinivas/ps3e21", "kernel_id": "42377833"}, {"ref": "omarvivas/model3s21-v1", "kernel_id": "42478127"}, {"ref": "ivanvaccari/ps3-e21-rfe-and-feature-selection-comparison", "kernel_id": "42593833"}, {"ref": "stpeteishii/pss3-ep21-standardscaler", "kernel_id": "42425311"}, {"ref": "stpeteishii/pss3-ep21-sqrt", "kernel_id": "42428223"}, {"ref": "stpeteishii/pss3-ep21-feature-importance-lgbm", "kernel_id": "42337813"}, {"ref": "stpeteishii/pss3-ep21-histplot", "kernel_id": "42336983"}, {"ref": "stpeteishii/pss3-ep21-isolationforest", "kernel_id": "42387065"}, {"ref": "jokerinthapack/bring-in-the-noise-bring-in-the-funk", "kernel_id": "42916539"}, {"ref": "patrick0302/remove-features-by-setting-zeros-0", "kernel_id": "42337049"}, {"ref": "patrick0302/8-75812-avg-of-target-values-on-public-lb", "kernel_id": "42342542"}, {"ref": "mpwolke/oxygen-focus-on-data-centric", "kernel_id": "42335213"}, {"ref": "mpwolke/coreset-randomrbf", "kernel_id": "42406232"}, {"ref": "syerramilli/ps3e21-eda-baseline", "kernel_id": "42429490"}, {"ref": "achusanjeev/best-hyperparameter-tuning-for-this-dataset", "kernel_id": "42576426"}, {"ref": "achusanjeev/best-score-simple-feature-importance-and-outliers", "kernel_id": "42342493"}, {"ref": "averma111/data-centric-pss3e21", "kernel_id": "42364118"}, {"ref": "saidalkharusi/synthetic-data-generation-using-sdv-python-library", "kernel_id": "42460812"}, {"ref": "acdundore/s3-e21-eda-feature-selection", "kernel_id": "42536878"}, {"ref": "dilgekarakas/shap-values-dbscan", "kernel_id": "42421926"}, {"ref": "dilgekarakas/better-than-random-or-not", "kernel_id": "42420428"}, {"ref": "dilgekarakas/optuna-for-feature-selection", "kernel_id": "42416713"}, {"ref": "dilgekarakas/optuna-for-feature-selection-with-clipping", "kernel_id": "42427142"}, {"ref": "dilgekarakas/learning-curve-for-rf-and-error-analysis", "kernel_id": "42424374"}, {"ref": "dilgekarakas/cleanlab-finding-noisy-data", "kernel_id": "42434836"}, {"ref": "lucasmorin/s3e21-data-and-error-exploration", "kernel_id": "42493348"}, {"ref": "carlmcbrideellis/ps-s3-e21-na-ve-dataset-distillation", "kernel_id": "42485167"}, {"ref": "carlmcbrideellis/ps-s3-e21-remove-outliers-via-isolation-forest", "kernel_id": "42350119"}, {"ref": "carlmcbrideellis/shap-permutation-explainer-random-probe", "kernel_id": "42350583"}, {"ref": "tomasluna/10th-position-simple-approach", "kernel_id": "42357668"}, {"ref": "muhammadusmanfarooq/understanding-anomalies-detection-algorithms", "kernel_id": "42514222"}, {"ref": "rodrigostallsikora/doing-what-chatgpt-tells-me-to-do", "kernel_id": "42640993"}, {"ref": "nivedithavudayagiri/ps3e21-remove-unwanted-rows", "kernel_id": "42369287"}, {"ref": "pavelabr/submission-with-pca-splitting-and-smote-upsample", "kernel_id": "42424588"}, {"ref": "jailsonevora/ml-regression-problem-data-centric-way", "kernel_id": "42765895"}, {"ref": "maximeperez/4th-place-solution", "kernel_id": "42924232"}, {"ref": "yeoyunsianggeremie/s3e21-knowledge-distillation-starter-notebook", "kernel_id": "42352419"}, {"ref": "tracyporter/play-3-21", "kernel_id": "42441628"}, {"ref": "tracyporter/play-3-21-target-outliers", "kernel_id": "42458366"}, {"ref": "tracyporter/play-3-21-mean-outlier", "kernel_id": "42477138"}, {"ref": "warcoder/lb-1-32253-lof-svm-iforest-cleanlab", "kernel_id": "42515502"}, {"ref": "satishpb/data-for-oxygen-prediction", "kernel_id": "42349333"}, {"ref": "pavelgordeychuk/s3e21-not-the-best-but-honest-work", "kernel_id": "42888566"}, {"ref": "priyanshuagwl/dissolved-oxygen", "kernel_id": "42574458"}, {"ref": "radbear/playground-series-3-21", "kernel_id": "42350419"}, {"ref": "vasudevak/we-messed-up-while-trying-to-avoid-data-leakage", "kernel_id": "42932882"}, {"ref": "vasudevak/outliers-using-sklearn-algos", "kernel_id": "42808645"}, {"ref": "vasudevak/nans-need-all-your-attention", "kernel_id": "42466590"}, {"ref": "thomasmeiner/ps-s3-21-gans-even-16-few-rows-is-enough", "kernel_id": "42464707"}, {"ref": "thomasmeiner/ps-s3-21-remove-outliers-via-psod", "kernel_id": "42748297"}, {"ref": "heymihir/going-by-the-basics", "kernel_id": "42621591"}, {"ref": "heymihir/partial-dependency-plots", "kernel_id": "42774647"}, {"ref": "faysalmiah1721758/ps3e11-improve-a-fixed-model-the-data-centric-way", "kernel_id": "42663641"}, {"ref": "kuralamuthan300/data-refinement-for-rf-regressor", "kernel_id": "42471590"}, {"ref": "ikonuhov/s3e21-fixed-model-the-data-centric-rus", "kernel_id": "42382699"}, {"ref": "loki4514/pss3e21-1-39-public-score", "kernel_id": "42384112"}, {"ref": "pohzixiang/improving-fixed-model-zx", "kernel_id": "42335588"}, {"ref": "bennyfung/ps3e21-eda-and-data-wrangling", "kernel_id": "42353904"}, {"ref": "farelarden/improve-a-fixed-model-the-data-centric-way", "kernel_id": "42411393"}, {"ref": "jeremyhaakenson/k-nearest-neighbors-less-is-more", "kernel_id": "42336927"}, {"ref": "jimgruman/outforest", "kernel_id": "42923634"}, {"ref": "jimgruman/one-class-svm", "kernel_id": "42877229"}, {"ref": "jimgruman/ps3e21", "kernel_id": "42387422"}, {"ref": "jocelyndumlao/water-quality-prediction-fasteda", "kernel_id": "42417719"}, {"ref": "jocelyndumlao/revamptraining-data-to-elevate-random-forest-model", "kernel_id": "42383113"}, {"ref": "deepkumarprasad/prediction-of-co2-emissions-rwanda", "kernel_id": "42723694"}, {"ref": "tetsutani/ps3e21-eda-baseline-and-optuna", "kernel_id": "42346287"}, {"ref": "ziadasal/data-generation-ai-for-beginners", "kernel_id": "42925342"}, {"ref": "m1y7k8/ps3e21-datacentric", "kernel_id": "42461978"}, {"ref": "ambrosm/pss3e21-eda-which-makes-sense", "kernel_id": "42334280"}, {"ref": "thomaswrightanderson/ps3e21-1st-place-solution", "kernel_id": "42363306"}, {"ref": "stuartmacgowan/data-hacking-walk-through-ps3e21", "kernel_id": "42370094"}, {"ref": "act18l/just-luck-evaluate-if-lof-svm", "kernel_id": "42517689"}, {"ref": "act18l/added-lof-svm-iforest-very-simple-approach", "kernel_id": "42423597"}, {"ref": "satyaprakashshukl/improved-data-quality", "kernel_id": "42337357"}, {"ref": "satyaprakashshukl/simple-eda-improve-a-fixed-model", "kernel_id": "42337081"}, {"ref": "satyaprakashshukl/boxplot-isolation-outlier", "kernel_id": "42449253"}, {"ref": "satyaprakashshukl/local-outlier-factor-solation-quality-infer", "kernel_id": "42455455"}, {"ref": "ravi20076/playgrounds3e21-eda-baseline", "kernel_id": "42334288"}, {"ref": "sergeyyakovlev1312/optimal-linear-estimation", "kernel_id": "42470657"}, {"ref": "rajatraj0502/improve-a-fixed-model-the-data-centric-way", "kernel_id": "42671202"}, {"ref": "klyushnik/improve-a-fixed-model-vol2", "kernel_id": "42341568"}, {"ref": "alexkalita/simple-cross-val-drop", "kernel_id": "42352635"}, {"ref": "suraj520/optuna-kfold-voting-stacking-lof-iso-forest", "kernel_id": "42385821"}, {"ref": "wintersbae/playground-s3e21-water-quality-prediction", "kernel_id": "42335171"}, {"ref": "iqmansingh/data-centric-way-outlier-feature-selection", "kernel_id": "42375469"}, {"ref": "smailaar/playground-series-s3-e21", "kernel_id": "42717674"}, {"ref": "dann12/feature-selection-corr-selectpercentile-k-and-mi", "kernel_id": "42504799"}, {"ref": "muhannadmansour/ps3e21-data-centric-oxygen-prediction", "kernel_id": "42594654"}, {"ref": "wentinglu/exploratory-data-analysis", "kernel_id": "42342153"}, {"ref": "franciscofeng/drop-rows-with-low-clipped-target-value", "kernel_id": "42716138"}, {"ref": "sugataraychaudhary/playground-features-reduction-ann-mlp-keras", "kernel_id": "42467562"}, {"ref": "yanniscanton/ps-s3e21-be-careful-with-stations-4-and-5", "kernel_id": "42666945"}, {"ref": "fatmayousufmohamed/oxygen-prediction-in-river-water", "kernel_id": "42785307"}, {"ref": "murugesann/fixedmodel-ds-prediction-svmoutlier", "kernel_id": "42861664"}, {"ref": "golammostofas/improve-a-fixed-model-for-beginners", "kernel_id": "42667363"}, {"ref": "sourabhsingh03993493/the-way-of-data", "kernel_id": "42341073"}, {"ref": "iqbalsyahakbar/ps3e21-data-centric-ai-for-beginners", "kernel_id": "42335081"}, {"ref": "kotukw/dissolved-oxygen-prediction-in-improving-model", "kernel_id": "42353168"}, {"ref": "yaaangzhou/pg-s3-e21-very-simple-approach", "kernel_id": "42375554"}, {"ref": "yaaangzhou/pg-s3-e21-features-selection-and-tricks", "kernel_id": "42334349"}, {"ref": "bartuolgun/kaggle-playground-s3-e21", "kernel_id": "42545258"}, {"ref": "vladislavonufrienko/ps3e21-eda", "kernel_id": "42340422"}, {"ref": "manishkumar7432698/ps3-e21-a-data-centric-way", "kernel_id": "42854471"}, {"ref": "francescoliveras/ps-s3-e21-eda-model-en-es", "kernel_id": "42548972"}, {"ref": "nhttinnguynbch/submit-1", "kernel_id": "42526209"}, {"ref": "alvinleenh/ps3e21-optimize-dataset-by-5-cleaning-methods", "kernel_id": "42357073"}, {"ref": "ashx010/ps3e21-outlier-analysis-data-cleaning", "kernel_id": "42343681"}, {"ref": "kuryakin/s3-e21-preprocessing", "kernel_id": "42814186"}, {"ref": "kuryakin/improve-a-fixed-model-xgboost", "kernel_id": "42554069"}, {"ref": "nazimcherpanov/prediction-s3e21-using-lgbm-votting", "kernel_id": "42373314"}, {"ref": "bingdaidata/generate-data-to-improve-a-model-in-progress", "kernel_id": "42842353"}, {"ref": "chrisk321/data-centric-feature-manipulation-in-r", "kernel_id": "42476614"}, {"ref": "pyrotech/simple-data-centric-code", "kernel_id": "42682196"}, {"ref": "ahmedadelyu/notebookdd001fdc3d", "kernel_id": "42785229"}, {"ref": "sanjanasatish68l/s3-e21-model-with-feature-importance", "kernel_id": "42605613"}, {"ref": "ashishjagdishsharma/a-fairytale-of-data-transformation", "kernel_id": "42415876"}, {"ref": "nitinpilkhwal/linear-lasso-and-ridge-using-cv-and-randomforest", "kernel_id": "42562264"}, {"ref": "eishkaran/shortest-code-possible-lb-1-32", "kernel_id": "42516658"}, {"ref": "debamritapaul/feature-importance-and-compare-different-dfs", "kernel_id": "42342404"}, {"ref": "moohamedelsayed/outliers-removal-methods", "kernel_id": "42500269"}, {"ref": "dishaasinghi/random-forest-for-starters-ps3e21", "kernel_id": "42353223"}, {"ref": "mateuszk013/playground-series-s3e21-oxygen-in-river-water", "kernel_id": "42553980"}, {"ref": "prathamesh95/kaggle-competition-playground-series-s3e21", "kernel_id": "42979059"}, {"ref": "ahmedali74/the-data-centric-way-feature-selection", "kernel_id": "42639368"}, {"ref": "muthumeenakshi11/improve-a-fixed-model-by-handling-outliers", "kernel_id": "42379593"}, {"ref": "mickhirsh/improve-a-fixed-model-the-data-centric-way", "kernel_id": "42470075"}, {"ref": "muhammadawn/mahalanobis-algorithm", "kernel_id": "42458029"}, {"ref": "arunklenin/in-depth-analysis-five-anomaly-detection-methods", "kernel_id": "42374902"}, {"ref": "arunklenin/clip-all-features-bayesian-optimization-optuna", "kernel_id": "42680169"}, {"ref": "arunklenin/arithmetic-mean-power-of-simple-math", "kernel_id": "42775868"}, {"ref": "weiyongpeng1223/s3e21-fasteda", "kernel_id": "42334569"}, {"ref": "nathaniellybrand/lb-1-32613-eda-iso-svm-lof-tutorial", "kernel_id": "42862783"}, {"ref": "moritzm00/eda-outlier-detection-with-pyod-lof-if-ecod", "kernel_id": "42459823"}, {"ref": "mattduerr/s3e21-eda-and-various-outlier-detection", "kernel_id": "42402992"}, {"ref": "yusufsazan/notebook9c64c26f31", "kernel_id": "42836382"}, {"ref": "viviansam/dissolved-o2-prediction-outlier-removal-z-score", "kernel_id": "42728500"}, {"ref": "viviansam/dissolved-o2-prediction-outlier-removal-iqr", "kernel_id": "42618143"}, {"ref": "coinshot/dissolved-oxygen-prediction-in-river-model", "kernel_id": "42388367"}, {"ref": "adityakishor1/playground-s3-e21-selection-and-tricks", "kernel_id": "42576360"}, {"ref": "adityakishor1/a-simple-approaches-of-playground-s3-e21", "kernel_id": "42743123"}, {"ref": "manavgupta92/smallest-notebook-to-understand-competition", "kernel_id": "42414359"}, {"ref": "borhanmukto/improve-a-fixed-model-the-data-centric-way", "kernel_id": "42436560"}, {"ref": "saikatpanda/visualising-data-and-preprocessing", "kernel_id": "42401951"}, {"ref": "hasancanakcolu/minor-improvement-through-cross-validation", "kernel_id": "42546048"}, {"ref": "weichens/ps3e21-eda-combine-trick-1-3527", "kernel_id": "42739018"}, {"ref": "hli111111/with-submission-original-prediction-task-preproc", "kernel_id": "42334605"}, {"ref": "gregorhalfmann/improve-a-fixed-model-the-data-centric-way", "kernel_id": "42423694"}, {"ref": "kamrantanwari/s3e21-baseline-eda-advanced-regression", "kernel_id": "42627521"}, {"ref": "zhengtengduan/added-one-column-very-simple-approach", "kernel_id": "42396704"}, {"ref": "adelinmil/data-centric-way-eda-outliers-fs", "kernel_id": "42396668"}, {"ref": "sreekanthpolu/submission-csv-by-sreekanth", "kernel_id": "42450265"}, {"ref": "sreekanthpolu/simple-way", "kernel_id": "42480729"}, {"ref": "sreekanthpolu/improve-a-fixed-model-the-data-centric-way", "kernel_id": "42544196"}, {"ref": "subramanyashenoy/pgs-s3e21-sub-2-ipynb", "kernel_id": "42497710"}, {"ref": "subramanyashenoy/pgs-s3e21-ipynb", "kernel_id": "42436706"}, {"ref": "cicinguyen/hyperparameter-tuning-for-clipping", "kernel_id": "42467931"}, {"ref": "amrsaid1233/dissolved-oxygen-in-water", "kernel_id": "42923475"}, {"ref": "dreamboat26/dissolved-oxygen-prediction-model", "kernel_id": "42418179"}, {"ref": "serhiikharchuk/very-simple-approach-with-some-modify", "kernel_id": "42435033"}, {"ref": "ricopue/data-centric-remove-similar-rows", "kernel_id": "43031952"}, {"ref": "muhammadali786/improve-a-fixed-model-using-feature-engineering", "kernel_id": "43524910"}, {"ref": "kanikasinghaljindal/simple-approach", "kernel_id": "43007550"}, {"ref": "kanikasinghaljindal/play-with-lb-ub-in-clipping-data", "kernel_id": "43024136"}, {"ref": "hdrbozkurtt/private-lb-12-solution", "kernel_id": "43012957"}, {"ref": "orianachavez/improve-a-fixed-model-the-data-centric-way", "kernel_id": "43039181"}, {"ref": "atuljha04/basic-outlier-removing", "kernel_id": "43096798"}, {"ref": "asif00/clean-and-simple-beginner-feature-selection", "kernel_id": "43038860"}, {"ref": "serhiikharchuk/new-way-test", "kernel_id": "43069731"}, {"ref": "serhiikharchuk/my-version-of-math-predict-score-1-46871", "kernel_id": "43065821"}, {"ref": "huyenle/which-features-to-remove-which-rows-to-keep", "kernel_id": "44621701"}, {"ref": "hardikgarg03/model-improve", "kernel_id": "50753257"}, {"ref": "goyalharshit03/notebook-hg-1", "kernel_id": "50689075"}, {"ref": "mannatsadana/improve-a-fixed-model", "kernel_id": "50776224"}, {"ref": "kunal025/improve-a-fixed-model-the-data-centric-way", "kernel_id": "50998332"}, {"ref": "piyush1234ggfuvi/fixed-model", "kernel_id": "50784225"}, {"ref": "raghav723/improve-a-fixed-model", "kernel_id": "51627365"}, {"ref": "prabhdeep123/data-centric-way", "kernel_id": "51627822"}, {"ref": "aradhakkandhari/improve-a-fixed-model", "kernel_id": "51533293"}, {"ref": "aradhakkandhari/data-centric-code", "kernel_id": "51532721"}, {"ref": "harshitstark/improve-a-fixed-model-the-data-centric-way", "kernel_id": "51081196"}, {"ref": "aarushikamboj/improve-a-fixed-model", "kernel_id": "51628069"}, {"ref": "mukkaraniranjankumar/dissolved-o2-predictions-in-river", "kernel_id": "54492966"}, {"ref": "nitleenk/improve-fixed-model", "kernel_id": "54870159"}, {"ref": "rohanthakur336/improve-fixed-model-playground", "kernel_id": "54767769"}, {"ref": "bhavyabhalla2701/improve-fixed-model-bhavya-bhalla", "kernel_id": "54721458"}, {"ref": "mukundansrinivasank/water-quality-monitoring-system-1", "kernel_id": "54003245"}, {"ref": "tinvietle25/lstm-do", "kernel_id": "64296236"}, {"ref": "zqx960151285/improve-a-fixed-model-the-data-centric-way", "kernel_id": "130119352"}]}
{"competition_id": "59110", "kernels": [{"ref": "vensunmode/project-predict-health-outcomes-of-horses", "kernel_id": "43254732"}, {"ref": "jankuper192/second-draft-pg-22-using-hazard-umap-gam", "kernel_id": "43363300"}, {"ref": "cv13j0/health-outcomes-of-horses", "kernel_id": "43541502"}, {"ref": "livecle/predict-health-outcomes-of-horses", "kernel_id": "43928429"}, {"ref": "scook4242/horses-starter", "kernel_id": "43429740"}, {"ref": "scook4242/horses", "kernel_id": "43381439"}, {"ref": "xpehutta/deep-nn-with-pytorch", "kernel_id": "43099526"}, {"ref": "abramova/ps3-e22-simple-models-optuna-lb-correlation", "kernel_id": "43362309"}, {"ref": "rishabh15virgo/s3e22-feature-selection-voting-multiple-algorithms", "kernel_id": "43358915"}, {"ref": "rishabh15virgo/first-impression-data-understanding-eda-baseline", "kernel_id": "43085901"}, {"ref": "rishabh15virgo/s3e22-statistical-feature-selection-pycaret-tuned", "kernel_id": "43163382"}, {"ref": "rishabh15virgo/s3e22-statistical-feature-selection-pycaret-lgbm", "kernel_id": "43204465"}, {"ref": "rishabh15virgo/s3e22-pca-failed-for-horse-health-outcome", "kernel_id": "43266883"}, {"ref": "docxian/ps-s3-e22-health-outcome-explorations", "kernel_id": "43107430"}, {"ref": "pratul007/predictive-modeling-using-ensemble-technique", "kernel_id": "43134120"}, {"ref": "pratul007/exploring-classification-and-ensemble-techniques", "kernel_id": "43178540"}, {"ref": "yateng/notebook962dd8b5aa", "kernel_id": "43311412"}, {"ref": "toluwanimi/predict-health-of-horses", "kernel_id": "43192199"}, {"ref": "toluwanimi/predict-outcome-of-horses", "kernel_id": "43754421"}, {"ref": "oscarm524/ps-s3-ep22-eda-modeling-submission", "kernel_id": "43077900"}, {"ref": "daaadaaa/s3e22-eda-catboost-xgb-baseline", "kernel_id": "43077023"}, {"ref": "kimtaehun/eda-and-baseline-with-multiple-models", "kernel_id": "43076946"}, {"ref": "apovidlo/s3-ep22-starting-baseline-with-autogluon-automl", "kernel_id": "43422726"}, {"ref": "chiranjeevisrinivas/playgroundseries-s3e22", "kernel_id": "43482163"}, {"ref": "sonick/eda-and-modelling-horse", "kernel_id": "43284538"}, {"ref": "geraldnyeo/ps3e22-eda-baseline", "kernel_id": "43090565"}, {"ref": "kagglekrystal/simple-eda-and-tensorflow-with-tuning", "kernel_id": "43111819"}, {"ref": "wonmorgan/s3e24-lightgbm-baseline", "kernel_id": "43162154"}, {"ref": "yoshifumimiya/s3e22-randomforest-ver-1", "kernel_id": "43283953"}, {"ref": "stpeteishii/pss3-ep22-viualize-importance-and-predict", "kernel_id": "43177060"}, {"ref": "stpeteishii/pss3-ep22-histplot", "kernel_id": "43083748"}, {"ref": "jokerinthapack/optuna-searching", "kernel_id": "43106358"}, {"ref": "jokerinthapack/rf-boost-ensemble", "kernel_id": "43269245"}, {"ref": "kubes57/predicting-health-outcomes-of-horses", "kernel_id": "43531374"}, {"ref": "anzarwani2/horse-health-outcome-baseline", "kernel_id": "43552511"}, {"ref": "anzarwani2/season-3-ep-22-predict-horse-health", "kernel_id": "43852705"}, {"ref": "mpwolke/predict-surgery-on-horse-acute-abdomen", "kernel_id": "43103811"}, {"ref": "syerramilli/ps3e22-eda-catboost-baseline", "kernel_id": "43186220"}, {"ref": "syerramilli/ps3e22-horse-health-prediction-automl", "kernel_id": "43309434"}, {"ref": "syerramilli/ps3e22-xgboost-optuna", "kernel_id": "43323831"}, {"ref": "achusanjeev/best-features-in-this-dataset", "kernel_id": "43083180"}, {"ref": "catadanna/tab-s3-e22-kmeans", "kernel_id": "43323969"}, {"ref": "jamiedonnelly/sparse-feature-model", "kernel_id": "43575392"}, {"ref": "aiotsir/competition-horse-survival-prediction-season3ep22", "kernel_id": "43807344"}, {"ref": "acdundore/s3-e22-eda-imputation-feat-eng-lgbm", "kernel_id": "43871720"}, {"ref": "ahsanzaman/ps-s3-e22-save-the-horse-eda-visualizations", "kernel_id": "43315482"}, {"ref": "nisargbhatt/how-rse-you-doin-complete-eda-and-ml", "kernel_id": "43907095"}, {"ref": "tomasluna/ps-s3e22-eda", "kernel_id": "43109361"}, {"ref": "kerrysun/lb-82317-pb-0-76818-lightgbm-oputna", "kernel_id": "43242062"}, {"ref": "akioonodera/ps-3-22-lgbm-multiclass", "kernel_id": "43076027"}, {"ref": "ammarahmadqazi/let-us-try-tabpfn", "kernel_id": "43269298"}, {"ref": "ahmetyldrr/predict-eda-randomforest-0-75-00", "kernel_id": "43526005"}, {"ref": "lonewalker29/lightgbm-baseline", "kernel_id": "43620920"}, {"ref": "lonewalker29/pytorch-neural-network-baseline", "kernel_id": "43518328"}, {"ref": "junyeongyu/predict-health-outcomes-of-horses-submission", "kernel_id": "43551988"}, {"ref": "anubhavtyagi1212/horse-care-pycaret-0-78048", "kernel_id": "43906421"}, {"ref": "aliabdin1/s3e22-fast-and-easy-eda", "kernel_id": "43086818"}, {"ref": "synchrocyclotron/catboost-baseline-solution", "kernel_id": "43259567"}, {"ref": "aaachen/ps3e22-xgbclassifer-lightgbm-catboost", "kernel_id": "43339465"}, {"ref": "taeefnajib/eda-horse-health-outcome-prediction", "kernel_id": "43084892"}, {"ref": "abidammar/playgrounds3e22-base-model", "kernel_id": "43093506"}, {"ref": "maximeperez/horse-survival-optuna", "kernel_id": "43836782"}, {"ref": "tanyajain3108/health-outcome-random-forest", "kernel_id": "43865825"}, {"ref": "bkowshik/automl-with-pycaret-horse-health-outcomes", "kernel_id": "43507084"}, {"ref": "bkowshik/automl-with-autogluon-horse-health-outcomes", "kernel_id": "43506789"}, {"ref": "bkowshik/automl-with-h2o-horse-health-outcomes", "kernel_id": "43507599"}, {"ref": "trhgquan/ps3e22-xgboost-and-feature-selection", "kernel_id": "43179728"}, {"ref": "tracyporter/play-3-22-jax-nbc", "kernel_id": "43270892"}, {"ref": "tracyporter/play-3-22-python-jax-dt", "kernel_id": "43271023"}, {"ref": "tracyporter/play-3-22-python-nbc", "kernel_id": "43144940"}, {"ref": "tracyporter/play-3-22-sklearn-nbc", "kernel_id": "43113445"}, {"ref": "tracyporter/play-3-22-jax-mn-lr", "kernel_id": "43102652"}, {"ref": "satishpb/health-outcome-of-horses", "kernel_id": "43139531"}, {"ref": "kaviga/simple-eda-lgbm-xgbm-logreg", "kernel_id": "43874374"}, {"ref": "muhammadali786/horse-health-prediction-using-random-forest-ps3e22", "kernel_id": "43260238"}, {"ref": "prathameshprege/ps-s3-e22-predict-health-outcomes-horse", "kernel_id": "43157116"}, {"ref": "dristantadas/nn-horse", "kernel_id": "43771276"}, {"ref": "thomasmeiner/playground-s3e22-auto-eda-ml-with-bluecast", "kernel_id": "43109941"}, {"ref": "thomasmeiner/playground-s3e22-advanced-auto-ml-with-blue", "kernel_id": "43141395"}, {"ref": "heymihir/ps3-e22-eda-with-plotly", "kernel_id": "43084048"}, {"ref": "faysalmiah1721758/ps3e22-predict-health-outcomes-of-horses", "kernel_id": "43131738"}, {"ref": "simonhol/grand-classes-playground-notebook", "kernel_id": "43264997"}, {"ref": "nikhil1e9/s3-e22-full-feature-analysis", "kernel_id": "43099997"}, {"ref": "nikhil1e9/s3-e22-feature-engineering-simplest-solution", "kernel_id": "43527234"}, {"ref": "dsmeena/competition-onehotencoder-imputer-xgb", "kernel_id": "43377172"}, {"ref": "keenanzhuo/horse-health-simple-rfe-ensemble", "kernel_id": "43115786"}, {"ref": "zhukovoleksiy/ps-s3e22-eda-preprocessing-ensemble", "kernel_id": "43205489"}, {"ref": "bluewall/predictinghorseyoutcomes-iii-xgboost", "kernel_id": "43510040"}, {"ref": "bluewall/horsey-outcomes-some-charts-value-handling-ea", "kernel_id": "43344651"}, {"ref": "bluewall/horsey-outcomes", "kernel_id": "43342199"}, {"ref": "bluewall/horses-outcome-iv-more-ea", "kernel_id": "43778649"}, {"ref": "ankurlimbashia/playground-s3e22-lightgbm-nn", "kernel_id": "43928762"}, {"ref": "ankurlimbashia/pg-s3e22-simple-lightgbm", "kernel_id": "43097560"}, {"ref": "lucasbruzzone/predict-health-outcomes-of-horses", "kernel_id": "43712985"}, {"ref": "anoopjohny/horse-health-outcome-prediction", "kernel_id": "43411875"}, {"ref": "kuralamuthan300/horse-health-nested-dichotomy-xgb", "kernel_id": "43803433"}, {"ref": "ikonuhov/s3e22-optuna-big-enssemble-rus", "kernel_id": "43188908"}, {"ref": "ahmedgamalibrahimali/predict-health-outcomes-of-horses", "kernel_id": "43160081"}, {"ref": "sasakitetsuya/try-adding-some-features", "kernel_id": "43256709"}, {"ref": "mcpenguin/ps3e22-eda-fe-prediction", "kernel_id": "43075959"}, {"ref": "brokerus/ml-health-outcomes-of-horses-4-models", "kernel_id": "43383622"}, {"ref": "pohzixiang/horse-health-prediction-zx", "kernel_id": "43693699"}, {"ref": "rohit265/predict-health-outcomes-of-horses", "kernel_id": "43720547"}, {"ref": "jimgruman/lightgbm", "kernel_id": "43240300"}, {"ref": "akiyukikouyama/ps3e22-eda-and-build-baseline", "kernel_id": "43118992"}, {"ref": "nakamurasyuta/ps-s3-ep22-for-now-submit-with-lightgbm", "kernel_id": "43090151"}, {"ref": "poonamdasilva/missingno-horse-health-data", "kernel_id": "43340801"}, {"ref": "jocelyndumlao/exploring-horse-survival-prediction", "kernel_id": "43169065"}, {"ref": "jocelyndumlao/horse-life-death-analysis", "kernel_id": "43345570"}, {"ref": "matthewmaddock/ps-s3-e22-histogram-based-gradient-boosting", "kernel_id": "43487982"}, {"ref": "matthewmaddock/ps-s3-e22-random-forest-hyperparameter-tuning", "kernel_id": "43447352"}, {"ref": "tuhinm2002/horse-health-eda-80-acc", "kernel_id": "43529054"}, {"ref": "robertoganyan/eda-catboost-torch-nn-baseline", "kernel_id": "43118995"}, {"ref": "robertoganyan/0-85365-baseline-advanced-stacking", "kernel_id": "43585340"}, {"ref": "fathyalin/easy-approch-80-487", "kernel_id": "43832923"}, {"ref": "gabrielbuchhorn/something-is-wrong", "kernel_id": "43241416"}, {"ref": "amarnathaditya/s3e22-eda-modeling", "kernel_id": "43936346"}, {"ref": "akshatrailaddha/horse-health-prediction-feature-engineering", "kernel_id": "43824090"}, {"ref": "bhatnagardaksh/predict-health-outcomes-of-horses", "kernel_id": "43104377"}, {"ref": "halanassar/horses-health-outcomes", "kernel_id": "43829286"}, {"ref": "thomaswrightanderson/ps3e22-predict-health-outcomes-of-horses", "kernel_id": "43446040"}, {"ref": "alighaleb/horses-max-score-0-71969-after-final-standings", "kernel_id": "43947020"}, {"ref": "barbagrande007/bbg007-s3e22-horsesurvival", "kernel_id": "43154800"}, {"ref": "sohaibmoradi/tps-e3s22-base-model-catboost-imputer-optuna", "kernel_id": "43768056"}, {"ref": "sohaibmoradi/ps-s3e22-tfdf-lgbm-base-model-score-0-84756", "kernel_id": "43754913"}, {"ref": "azadshahvaladov/using-only-gridsearch-and-a-few-features", "kernel_id": "43269421"}, {"ref": "osamaakhaled/horse-health-playground-s3-e22", "kernel_id": "43711728"}, {"ref": "act18l/s3e22-deepinsight-2d-cnn", "kernel_id": "43825634"}, {"ref": "satyaprakashshukl/boost-outcomes-health-horse-prediction", "kernel_id": "43081472"}, {"ref": "satyaprakashshukl/eda-horse-health-outcomes", "kernel_id": "43080710"}, {"ref": "satyaprakashshukl/categorical-eda-wip", "kernel_id": "43101339"}, {"ref": "satyaprakashshukl/neural-network-horse-health-prediction", "kernel_id": "43133079"}, {"ref": "satyaprakashshukl/simple-h20-model-for-health-horse", "kernel_id": "43166002"}, {"ref": "sagayaabinesh/predict-health-outcomes-of-horses-2-ml-buddies", "kernel_id": "43876602"}, {"ref": "ravi20076/playgrounds3e22-eda-baseline", "kernel_id": "43076535"}, {"ref": "ravi20076/playgrounds3e23-eda-baseline", "kernel_id": "43927588"}, {"ref": "sujaykapadnis/episode-22-extensive-data-visualisation", "kernel_id": "43224974"}, {"ref": "sergeyyakovlev1312/xgboost-somethibg-else", "kernel_id": "43483818"}, {"ref": "redpen12/optimizations-with-optuna", "kernel_id": "43306495"}, {"ref": "itsmegood/oversampling-with-smote-for-imbalance-data", "kernel_id": "43201550"}, {"ref": "lusfernandotorres/s03e22-simple-approach-ensemble-optuna", "kernel_id": "43623310"}, {"ref": "klyushnik/outcomes-vol-3", "kernel_id": "43128641"}, {"ref": "igoryashchenko/simple-solution-using-catboost", "kernel_id": "43580461"}, {"ref": "witoldnowogrski/predict-health-outcomes-of-horses", "kernel_id": "43386231"}, {"ref": "suraj520/multi-approaches-rf-stacking-optuna-k-fold", "kernel_id": "43888391"}, {"ref": "sjagkoo7/health-of-horses-s3-ep22-xgb-lgbm-catboost", "kernel_id": "43353489"}, {"ref": "hemakarapu/predict-health-outcomes-horses", "kernel_id": "43082821"}, {"ref": "jrsuri/predict-health-eda", "kernel_id": "43578376"}, {"ref": "wintersbae/playground-s3e22-predict-horse-survival", "kernel_id": "43081727"}, {"ref": "maheshmohna/task-2", "kernel_id": "43901045"}, {"ref": "azraimohamad/horse-survival-eda-prediction", "kernel_id": "43778853"}, {"ref": "jominjae/using-smote-grid-lgbm", "kernel_id": "43398540"}, {"ref": "amanmukati/health-outcomes-horses", "kernel_id": "43322804"}, {"ref": "hafidabelayd/predict-health-outcomes-of-horses", "kernel_id": "43271088"}, {"ref": "hudasaleh1/s3e22-eda-stacking-pycaret", "kernel_id": "43333021"}, {"ref": "smailaar/predict-health-outcomes-of-horses", "kernel_id": "43198224"}, {"ref": "sheerazhussain/eda-horse-health-outcome-prediction", "kernel_id": "43115020"}, {"ref": "chakibi/predict-health-outcomes-of-horses", "kernel_id": "43617605"}, {"ref": "mozammil12/horse-health-prediction-ann-boosting", "kernel_id": "43564590"}, {"ref": "mohitguptaasu/s3e22-start-quickly-baseline-model", "kernel_id": "43077270"}, {"ref": "bryan2001/health-outcomes-of-horses-prediction", "kernel_id": "43595145"}, {"ref": "yuraslastya/2-separate-predictions-approach", "kernel_id": "43657011"}, {"ref": "harshit804/predict-health-outcomes-of-horses-ml-buddies", "kernel_id": "43340415"}, {"ref": "muhannadmansour/eda-multi-class-classification", "kernel_id": "43366429"}, {"ref": "mathurmudit2022/top-1-forecasting-the-health-outcomes-of-horses", "kernel_id": "43758121"}, {"ref": "romansim/ps-s3e22-eda-preprocessing-ensemble", "kernel_id": "43573428"}, {"ref": "romansim/where-are-we-going-wrong-bad-data-points", "kernel_id": "43616774"}, {"ref": "egorkainov/eda-conclusions-visualization-catboost-rf", "kernel_id": "43335541"}, {"ref": "yusuphmustaphaladi/horse-playground-basic-eda-and-modelling", "kernel_id": "43348887"}, {"ref": "yusuphmustaphaladi/implementing-fastai-tabular-data", "kernel_id": "43822222"}, {"ref": "hongseoi/pss3e22-automl", "kernel_id": "43586158"}, {"ref": "hongseoi/top31-s3e22-eda-xgb-modeling", "kernel_id": "43858408"}, {"ref": "hongseoi/se22-kr-histgradientboostingclassifier", "kernel_id": "43323910"}, {"ref": "mahendra77/horse-health-prediction-using-ensemble-learning", "kernel_id": "43867283"}, {"ref": "iqbalsyahakbar/ps3e22-multi-class-classification-for-beginners", "kernel_id": "43078926"}, {"ref": "kotukw/health-outcomes-of-horses-eda", "kernel_id": "43193086"}, {"ref": "kotukw/health-outcomes-of-horses-stacking-ensemble", "kernel_id": "43454983"}, {"ref": "mattop/ps-s3-e22-xgboost-preprocessing", "kernel_id": "43236954"}, {"ref": "eminztrk/predict-health-outcomes-of-horses-flaml-automl", "kernel_id": "43492301"}, {"ref": "sivasatyan/predict-health-outcomes-of-horses-score-0-7439", "kernel_id": "43721930"}, {"ref": "yaaangzhou/pg-s3-e22-eda-modeling", "kernel_id": "43078968"}, {"ref": "yaaangzhou/pg-s3-e22-very-simple-approach", "kernel_id": "43217326"}, {"ref": "akshatarya/horse-care-checklist", "kernel_id": "43896468"}, {"ref": "harmandeepsinghpadam/ps3-e22-univariate-analysis", "kernel_id": "43557611"}, {"ref": "emirbilir/playground-season-3-episode-22", "kernel_id": "43672604"}, {"ref": "atom1991/predict-health-outcomes-of-horses-ps-s3e22", "kernel_id": "43440942"}, {"ref": "dumanmesut/happy-horses-eda-lgbm-xgb", "kernel_id": "43338355"}, {"ref": "vaishakhraveendran/eda-and-base-season-3-episode-22", "kernel_id": "43085278"}, {"ref": "vaishakhraveendran/horsey-new-ensemble", "kernel_id": "43338850"}, {"ref": "shivampal7722/hourse-health-prediction", "kernel_id": "43550659"}, {"ref": "vladislavonufrienko/pss3e22-eda-catboostclassifier", "kernel_id": "43084460"}, {"ref": "grigoriiott/health-outcome-of-horses-pipeline", "kernel_id": "43295864"}, {"ref": "francescoliveras/ps-s3-e22-eda-model-en-es", "kernel_id": "43092159"}, {"ref": "kanikasinghaljindal/r-notebook", "kernel_id": "43101632"}, {"ref": "tonychirilus/ps3e22-nice-eda-simple-baseline-modelling", "kernel_id": "43367680"}, {"ref": "nhttinnguynbch/horse-survival", "kernel_id": "43580817"}, {"ref": "alvinleenh/ps3e22-horse-health-lgb-baseline", "kernel_id": "43840372"}, {"ref": "pixelshooter/predict-health-outcomes-of-horses", "kernel_id": "43879273"}, {"ref": "yunuskoyun/horse-outcomes-ml-dl-models-scores-used-shap", "kernel_id": "43881775"}, {"ref": "yunuskoyun/horse-outcome-prediction-ml-dl-ann-shap-pca-3d", "kernel_id": "43882114"}, {"ref": "sunilthite/predict-health-outcome-of-horses", "kernel_id": "43659595"}, {"ref": "anthonyweaver/health-horses-catboost-3-22", "kernel_id": "43964544"}, {"ref": "warriorwizard/ps3-e22-predict-health-outcomes-of-horses", "kernel_id": "43322309"}, {"ref": "ucas0v0zhuoqunli/automl-benchmark-horse", "kernel_id": "43721425"}, {"ref": "thomasheitz/xgboost-simple-code-with-finetuning", "kernel_id": "43399261"}, {"ref": "vaibhavsanepara/health-outcomes-of-horses-competition-modeling", "kernel_id": "43283859"}, {"ref": "vaibhavsanepara/health-outcomes-of-horses-competition-eda", "kernel_id": "43087776"}, {"ref": "kuryakin/s3-e22-train", "kernel_id": "43096617"}, {"ref": "kuryakin/s3-e22-eda", "kernel_id": "43093974"}, {"ref": "tatianakushniruk/horses-health-outcomes-eda-lightgbm", "kernel_id": "43102960"}, {"ref": "rozhanmirzaei/pca-and-eda", "kernel_id": "43137520"}, {"ref": "hosesoh/micro-averaged-f1-score-predicting-horse-health", "kernel_id": "43889266"}, {"ref": "alizgrdede/horse-health-playground-series-3-22", "kernel_id": "43534741"}, {"ref": "ignaciotigurius/multiclass-predict-health-of-xgb-cat-lgb", "kernel_id": "43098556"}, {"ref": "prasadmeesala/horses-health-prediction-knn-classifier", "kernel_id": "43903476"}, {"ref": "natchaphonkamhaeng/predict-health-outcomes-of-horses", "kernel_id": "43244683"}, {"ref": "nagendramantrabuddi/health-outcome-of-horses", "kernel_id": "43376425"}, {"ref": "pradhammummaleti/horse-health-lgbm-classifier-with-k-fold", "kernel_id": "43897274"}, {"ref": "minjonyfilm/health-outcomes-of-horses-prediction", "kernel_id": "43209773"}, {"ref": "chrisk321/health-outcomes-of-horses-eda-xgblinear-submit", "kernel_id": "43077185"}, {"ref": "anwarhawash/health-outcomesforhorsescompetition", "kernel_id": "43919167"}, {"ref": "jamalghobrial/predicting-health-outcome-of-horses", "kernel_id": "43371588"}, {"ref": "jamalghobrial/fork-of-predicting-health-outcome-of-horses", "kernel_id": "43567250"}, {"ref": "aashishshrestha11/predicted-health-horses-outcome", "kernel_id": "43891449"}, {"ref": "fraserwtt/horse-health-outcome-prediction-eda-nulls", "kernel_id": "43340641"}, {"ref": "enricomanosperti/health-of-horses-eda-processing-model", "kernel_id": "43260258"}, {"ref": "brooklynmills/playground-series", "kernel_id": "43197079"}, {"ref": "benzilla987/ps-s3-ep22-eda-modeling-submission", "kernel_id": "43233688"}, {"ref": "endofnight17j03/horses-health-prediction", "kernel_id": "43226091"}, {"ref": "krviswanathan/horse-health-eda-predictive-modelling", "kernel_id": "43103976"}, {"ref": "laxminarayanasahu/predict-health-outcomes-of-horses", "kernel_id": "43364350"}, {"ref": "irfanarisani/based-for-horse-survival-prediction", "kernel_id": "43128076"}, {"ref": "danielgalili/playground-series-season-3-episode-22", "kernel_id": "43118636"}, {"ref": "jrkhops/playground-s3-ep22", "kernel_id": "43308680"}, {"ref": "tarekujjaman/btc-price-predict", "kernel_id": "43126253"}, {"ref": "abhishekrai13/horse-health-prediction-the-predict-value-0-98", "kernel_id": "43604833"}, {"ref": "jimmyknox/prediction4", "kernel_id": "43751878"}, {"ref": "nithinreddy90/equine-medical-diagnosis-with-random-forests", "kernel_id": "43327939"}, {"ref": "eishkaran/shortest-code-possible", "kernel_id": "43307427"}, {"ref": "yunsuxiaozi/synthetic-horse-survival-dataset", "kernel_id": "43512225"}, {"ref": "neerajkumar75260/health-outcomes-of-horses-nn", "kernel_id": "43675534"}, {"ref": "yapwh1208/playground-s3e22-xgb", "kernel_id": "43094702"}, {"ref": "yapwh1208/playground-s3e22-rf", "kernel_id": "43092477"}, {"ref": "debamritapaul/playground-s3-e22", "kernel_id": "43273355"}, {"ref": "shahvinit/happyhorselife2", "kernel_id": "43807096"}, {"ref": "ehabessam/eda-and-modeling-max-score-0-84756", "kernel_id": "43526789"}, {"ref": "youssefkkhaled/predict-health-outcomes-of-horses", "kernel_id": "43298491"}, {"ref": "neupane9sujal/catboost-model-starter", "kernel_id": "43143412"}, {"ref": "kacperrabczewski/horse-health-a-beginner-friendly-guide", "kernel_id": "43422973"}, {"ref": "mehmetarifkuzgunnn/ps3e22-horse-health-prediction-using-lgbm", "kernel_id": "43824817"}, {"ref": "ziadaymantesla/simplest-approach", "kernel_id": "43610840"}, {"ref": "ziadaymantesla/horses-max-score-0-83536", "kernel_id": "43530300"}, {"ref": "samuelgachuhi/gachuhi-ml-prediction-horses-health", "kernel_id": "43482540"}, {"ref": "afedorchuk/k-nearest-illness-neighbors", "kernel_id": "43684890"}, {"ref": "grantgonnerman/ps-e3-s22-eda-and-modeling", "kernel_id": "43077177"}, {"ref": "vayllanvictordesouza/outcome-of-horses", "kernel_id": "43877543"}, {"ref": "mateuszk013/playground-series-s3e22-horse-health-outcome", "kernel_id": "43115253"}, {"ref": "abhijit89kumar/horsihealth", "kernel_id": "43122539"}, {"ref": "anjusukumaran4/predict-health-outcomes-eda-prediction", "kernel_id": "43398246"}, {"ref": "mohamedsaber121/predict-health-outcomes-of-horses-nootbook-asta2", "kernel_id": "43917500"}, {"ref": "taniamartynenko/hourse-health-outcomes-eda-mll-s3e22tania", "kernel_id": "43460721"}, {"ref": "matthewsfarmer/ps-s3-e22-horse-survival-prediction", "kernel_id": "43228531"}, {"ref": "dhiaeddinear/my-version", "kernel_id": "43777870"}, {"ref": "itsnobita/horse-health-prediction", "kernel_id": "43706339"}, {"ref": "moazeldsokyx/playgrounds3-e22-eda-feature-engineering-modeling", "kernel_id": "43540450"}, {"ref": "moazeldsokyx/playgrounds3e22-ensemble-learning", "kernel_id": "43258850"}, {"ref": "vijayr2217019/horse-health", "kernel_id": "43127534"}, {"ref": "ompawar9174/horse-survival-random-forest", "kernel_id": "43509876"}, {"ref": "arunklenin/advanced-feature-engg-techniques-beyond-basics", "kernel_id": "43105511"}, {"ref": "arunklenin/challenging-data-points-cosine-similarity", "kernel_id": "43353102"}, {"ref": "pimang62/split-lesion-and-labeling", "kernel_id": "43557881"}, {"ref": "pimang62/use-lesion-data-with-hard-voting", "kernel_id": "43714859"}, {"ref": "rswaswa/predict-health-outcomes-of-horses-competition", "kernel_id": "43448142"}, {"ref": "osamaabobakr/predict-health-outcomes-of-horses-85", "kernel_id": "43159488"}, {"ref": "osamaabobakr/predict-health-outcomes-83", "kernel_id": "43159577"}, {"ref": "osamaabobakr/84-top-3-eda-modeling", "kernel_id": "43203688"}, {"ref": "osamaabobakr/flaml-accuracy80", "kernel_id": "43120073"}, {"ref": "osamaabobakr/multi-class-classification-78", "kernel_id": "43120076"}, {"ref": "rukenmissonnier/data-analysis-and-model-for-health-outcomes", "kernel_id": "43794356"}, {"ref": "nathaniellybrand/s3-ep22-lgbm-feature-selection-baseline", "kernel_id": "43418993"}, {"ref": "foxdz97/exellent-eda-for-beginners", "kernel_id": "43102683"}, {"ref": "janithkariyawasam/horse-health-competition", "kernel_id": "43077337"}, {"ref": "atuljo/a-simple-model", "kernel_id": "43527573"}, {"ref": "leonhardpiff/horsing-around-with-neural-networks", "kernel_id": "43321148"}, {"ref": "coinshot/horse-survival-model", "kernel_id": "43898970"}, {"ref": "gaelherc/predict-horses-health-notebook", "kernel_id": "43605035"}, {"ref": "singhayush16/horse-health-prediction", "kernel_id": "43570090"}, {"ref": "krystianlata/playground-s03e22-horses", "kernel_id": "43366481"}, {"ref": "athirasudevankeerthy/predict-health-outcomes-of-horses-competition", "kernel_id": "43300338"}, {"ref": "rfeng12/horse-health-code", "kernel_id": "43280792"}, {"ref": "jacobgvu/ps-s3e22", "kernel_id": "43270927"}, {"ref": "adityakishor1/prediction-of-health-outcomes-of-horses", "kernel_id": "43890958"}, {"ref": "adityakishor1/eda-and-randomforest-of-health-horses", "kernel_id": "43890019"}, {"ref": "adityakishor1/outcomes-of-health-for-horses-competition", "kernel_id": "43889529"}, {"ref": "jasonheesanglee/email-notification-colab-session-autoshutdown", "kernel_id": "43391425"}, {"ref": "scientiapotentia/short-easy-horse-health-prediction-model", "kernel_id": "43747272"}, {"ref": "soyabulislamlincoln/defects-classification-with-xgboost-and-optuna", "kernel_id": "43977487"}, {"ref": "soyabulislamlincoln/horse-health-basic-simple-eda", "kernel_id": "43290000"}, {"ref": "soyabulislamlincoln/xgboost-classifier-with-optuna", "kernel_id": "43342188"}, {"ref": "soyabulislamlincoln/data-processing-horse-health", "kernel_id": "43333992"}, {"ref": "soyabulislamlincoln/horse-health-advanced-eda", "kernel_id": "43392779"}, {"ref": "gopikrishnayogan/predict-health-outcomes-of-horses", "kernel_id": "43455908"}, {"ref": "penidorafael/horses-outcome", "kernel_id": "43205037"}, {"ref": "ammarahabib/horses-health-outcomes", "kernel_id": "43560303"}, {"ref": "shreyanshibhatt/ps3e22-hgbm-easy-explanation", "kernel_id": "43325546"}, {"ref": "shreyanshibhatt/ps3e22-xgboost-easy-explanation", "kernel_id": "43260565"}, {"ref": "orianachavez/predict-health-outcomes-of-horses-practice", "kernel_id": "43478864"}, {"ref": "ahmedali6102001/health-outcomes-with-python", "kernel_id": "43385295"}, {"ref": "commentsm/horse-health", "kernel_id": "43156537"}, {"ref": "commentsm/horse-health-w-keras", "kernel_id": "43542263"}, {"ref": "weichens/ps3e22-basic-approach-ensemble-model", "kernel_id": "43745727"}, {"ref": "lokisilvres/predict-health-outcomes-of-horses", "kernel_id": "43630201"}, {"ref": "eeeeee4563/s3e22-h2o-flow-with-data-prepared-in-kaggle", "kernel_id": "43346164"}, {"ref": "hli111111/cleaner-code-sklearn-impute-model-ensemble-pipe", "kernel_id": "43130490"}, {"ref": "patriciapatro/horse-survival", "kernel_id": "43823168"}, {"ref": "kavin1125/predict-health-outcomes-of-horses", "kernel_id": "43319551"}, {"ref": "weberjaw/schrodinger-s-horses-data-view-and-prep", "kernel_id": "43418071"}, {"ref": "armanzhalgasbayev/horse-health-outcome-prediction", "kernel_id": "43340841"}, {"ref": "yazeedalsahouri03/predict-health-outcomes-of-horses", "kernel_id": "43191187"}, {"ref": "adelinmil/pg-s03e22-eda-fe", "kernel_id": "43090220"}, {"ref": "huseyinbaytar/horse", "kernel_id": "43332228"}, {"ref": "dennisbucklin/health-outcomes-for-horses-competition", "kernel_id": "43302613"}, {"ref": "nikotin55/simple-model", "kernel_id": "43706423"}, {"ref": "sunnywhile/the-simplest-nn-by-pytorch", "kernel_id": "43094729"}, {"ref": "padmavathishilpa/health-outcome-of-horses", "kernel_id": "43395460"}, {"ref": "asif00/horsey-in-the-random-forest", "kernel_id": "43825399"}, {"ref": "mikproject/optuna-boosting", "kernel_id": "43946573"}, {"ref": "josephinelsy/horses-health-prediction", "kernel_id": "43165646"}, {"ref": "philopateergeorgei/using-gbt-gradient-boosted-tree", "kernel_id": "43867416"}, {"ref": "philopateergeorgei/eda-randomforest-77", "kernel_id": "43859073"}, {"ref": "philopateergeorgei/eda-random-forest", "kernel_id": "43700460"}, {"ref": "rizal1015/predict-horse", "kernel_id": "43226859"}, {"ref": "kicjung/playground-s3-e22-predict-health-outcomes-horses", "kernel_id": "43750589"}, {"ref": "hassaneskikri/horse-health-prediction", "kernel_id": "43812561"}, {"ref": "junjuly123/horse-health-prediction-sklearn-deep-learning", "kernel_id": "43232341"}, {"ref": "xiashj/horse-eda-prediction", "kernel_id": "43515384"}, {"ref": "malikmuhammadahmed/predict-health-outcomes-of-horses", "kernel_id": "43448018"}, {"ref": "eastonlarson/playground-series-s3-e22-notebook", "kernel_id": "43304801"}, {"ref": "codyjanderson/horsenotebook", "kernel_id": "43331257"}, {"ref": "mariodelacruzjr/analysis", "kernel_id": "43480405"}, {"ref": "mariodelacruzjr/health-of-horses-prediction", "kernel_id": "43692906"}, {"ref": "mariodelacruzjr/outcomes-of-horses", "kernel_id": "43692388"}, {"ref": "mariodelacruzjr/horse-prediction", "kernel_id": "43691951"}, {"ref": "fadynabilmofeed/fork-of-hourse", "kernel_id": "43687631"}, {"ref": "fadynabilmofeed/hourse", "kernel_id": "43405995"}, {"ref": "yudaisugiyama/ps3-22-ensemble-optweight", "kernel_id": "43509578"}, {"ref": "sriramgarimella/smanotebook", "kernel_id": "43083625"}, {"ref": "pranjalameta/health-detection-of-horse-with-different-modals", "kernel_id": "43998808"}, {"ref": "prajyotbirajdar/horse-life-prediction", "kernel_id": "43299107"}, {"ref": "vartikajaiswal17/notebook69150155be", "kernel_id": "43896718"}, {"ref": "ebraheemriad/notebookd6f901a34d", "kernel_id": "43475594"}, {"ref": "ashokazmeera/notebookfb93f8f5dd", "kernel_id": "43610765"}, {"ref": "yuchan509/voting-model2", "kernel_id": "43858756"}, {"ref": "gayhardttaylor/s3-e22-full-feature-analysis", "kernel_id": "43993094"}, {"ref": "scook4242/horses2", "kernel_id": "44862277"}, {"ref": "mpwolke/horses-outcomes-ipyvizzu", "kernel_id": "44062720"}, {"ref": "aniskhan25/playground-series-s03e22", "kernel_id": "44617997"}, {"ref": "petervidos/horses-outcomes-ipyvizzu", "kernel_id": "44218854"}, {"ref": "oattkt/predict-health-outcomes-of-horses-submission", "kernel_id": "44885287"}, {"ref": "sagarrathore/horse-predictionv-v2", "kernel_id": "44911999"}, {"ref": "tantranduc/health-outcomes-of-horses", "kernel_id": "44475572"}, {"ref": "loikloikl/ploty-interactive-plot", "kernel_id": "44635432"}, {"ref": "andrybevcuk/pca-as-prep-for-classefication", "kernel_id": "44072838"}, {"ref": "kumudithasilva/horse-health-multiclass-classification", "kernel_id": "44574151"}, {"ref": "vsntng/piuuu2", "kernel_id": "44475076"}, {"ref": "flamingoman418/horse-prediction", "kernel_id": "44083808"}, {"ref": "rahuljain788/predict-health-outcomes-of-horses-submission", "kernel_id": "45220201"}, {"ref": "p7476762/deep-learning-api-cat-numeric-xgb-extratree", "kernel_id": "45254465"}, {"ref": "syedsubahani/horse-health-outcomes", "kernel_id": "45063889"}, {"ref": "nguynvhinam/notebookaa7d0e5e20", "kernel_id": "45408885"}, {"ref": "jaci24/playground-s3e22-predict-health-outcome-of-horse", "kernel_id": "46446448"}, {"ref": "sagarrathore/horse-predictionv-v2-bcedce", "kernel_id": "46698286"}, {"ref": "chemistahmedkamel/predict-health-outcomes-of-horses-best-accuracy", "kernel_id": "46806085"}, {"ref": "amangaur76/horse-prediction-v3", "kernel_id": "46735757"}, {"ref": "docxian/ps-s3-e26-cirrhosis-multiclass-glm", "kernel_id": "47450049"}, {"ref": "tushirsahu/automl-and-horse-health-outcomes", "kernel_id": "47535554"}, {"ref": "maahdisobhani/predict-healthy-horses-multiclassification", "kernel_id": "47742933"}, {"ref": "a811456385/notebook79fffbec30", "kernel_id": "47530259"}, {"ref": "healedbike/horsesurvival-dataanalysis", "kernel_id": "48575097"}, {"ref": "cheesegue/eda-horses", "kernel_id": "48550915"}, {"ref": "mdismielhossenabir/predict-health-outcomes-of-horses", "kernel_id": "49282320"}, {"ref": "rohangulati14/best-sol-predict-health-outcomes-of-horses", "kernel_id": "49942479"}, {"ref": "abhinavvvvvvvvvv/predict-health-outcomes-of-horses", "kernel_id": "49875177"}, {"ref": "baarify/sklearn-horse-health-outcome", "kernel_id": "49744560"}, {"ref": "graceveraa/predict-health-outcomes-of-horses-random-forest", "kernel_id": "49688006"}, {"ref": "piyush1234ggfuvi/notebook8663179851", "kernel_id": "49793638"}, {"ref": "priyanshu54200/health-horses-ml-ps", "kernel_id": "49791367"}, {"ref": "filipoj/lab7-horses-jswad-filip-ojczyk", "kernel_id": "49900358"}, {"ref": "maheta/predict-helath-outcome-2", "kernel_id": "49641393"}, {"ref": "karanchhabra2003/predict-health-outcomes-of-horses", "kernel_id": "49924096"}, {"ref": "mahendra301/horses-health-outcome-prediction", "kernel_id": "50842336"}, {"ref": "hardikgarg03/horse-health-prediction-using-stacked-models", "kernel_id": "50810346"}, {"ref": "iosaman/aman-s-soln-horse-outcome", "kernel_id": "50422630"}, {"ref": "ojaswanib/horsehealth-oj", "kernel_id": "50910986"}, {"ref": "goyalharshit03/horse-health-harshit", "kernel_id": "50893754"}, {"ref": "akshitaakshita/healthoutcomesofhorses", "kernel_id": "50812796"}, {"ref": "vanshikam28/predict-health-outcomes-of-horses", "kernel_id": "50071717"}, {"ref": "drishtiagarwal20/predict-health-outcomes-of-horses", "kernel_id": "50974404"}, {"ref": "nitleenk/health-outcomes-of-horses", "kernel_id": "50221682"}, {"ref": "ishaangaba17/predict-health-outcomes-of-horses-random-forest", "kernel_id": "50471741"}, {"ref": "raghav723/horse-health-prediction", "kernel_id": "50855207"}, {"ref": "raghavdargan/predict-health-outcomes-of-horses", "kernel_id": "50207836"}, {"ref": "shresthapundir/predict-health-outcomes-of-horses", "kernel_id": "50451737"}, {"ref": "ujjvalvashisht/pg-s3-e22-simple-approach-to-predict-horse-health", "kernel_id": "50561515"}, {"ref": "sanchibatra/predict-health-outcome-of-horses", "kernel_id": "50874185"}, {"ref": "ashish32700/predict-health-outcomes-of-horses", "kernel_id": "50827697"}, {"ref": "priyalsingla/predict-health-outcome-of-horses", "kernel_id": "50855544"}, {"ref": "udaysharma007/horse-health", "kernel_id": "50096994"}, {"ref": "rijuljain2003/horses-rijul", "kernel_id": "50112442"}, {"ref": "aashimbansal/horse-health-aashim", "kernel_id": "50112500"}, {"ref": "prachik2/predict-health-outcomes-of-horses-sol", "kernel_id": "50087956"}, {"ref": "bhavyabhalla2701/predict-health-outcomes-of-horses-bhavya-bhalla", "kernel_id": "50505322"}, {"ref": "grandmastershaurya/predict-health-outcomes-of-horses", "kernel_id": "50105540"}, {"ref": "harshitstark/predict-health-outcomes-of-horses", "kernel_id": "50895839"}, {"ref": "paramvir705/horses-health-prediction", "kernel_id": "50115463"}, {"ref": "thaparrishav/horsehealth", "kernel_id": "50566504"}, {"ref": "aayushibareja/notebookf41cfdb86b", "kernel_id": "50101978"}, {"ref": "chaitanya2605/notebook0dd85b80d7", "kernel_id": "50784523"}, {"ref": "bhavya4400/horse-health-bhavya", "kernel_id": "50769691"}, {"ref": "mehranzeidi/horse-survival-svm", "kernel_id": "51030885"}, {"ref": "karamalhanatleh/predict-health-outcomes-of-horses", "kernel_id": "51211137"}, {"ref": "suvansh03/notebook820240f8dd", "kernel_id": "51525516"}, {"ref": "manmeetkaursidhu/multi-class-prediction-of-obesity-risk", "kernel_id": "51080974"}, {"ref": "sanyamgoyal401/predicting-health-outcome-of-horses", "kernel_id": "51536289"}, {"ref": "somyamathur1014/predict-health-outcomes-of-horses-chirag", "kernel_id": "51075387"}, {"ref": "japjotsingh699/horse-health-outcomes", "kernel_id": "51893665"}, {"ref": "jindal05/horse-survival-prediction", "kernel_id": "51023881"}, {"ref": "akoirala111/horse-health-outcome", "kernel_id": "51158705"}, {"ref": "aradhakkandhari/horses-health-prediction", "kernel_id": "51080301"}, {"ref": "sirishasingla1906/health-outcomes-of-horses", "kernel_id": "51422657"}, {"ref": "adhyanbaluja/horse-survival", "kernel_id": "51080096"}, {"ref": "dhruvsinghchauhan01/horse-health", "kernel_id": "51076714"}, {"ref": "quackinghorse/predict-health-outcomes-of-horses", "kernel_id": "51078734"}, {"ref": "sakshigoyal001/horseshealthprediction", "kernel_id": "51021592"}, {"ref": "bhavikasaini/prediction-of-health-outcomes-of-horses", "kernel_id": "51504074"}, {"ref": "anipreetsingh/notebook64e38f624c", "kernel_id": "51075654"}, {"ref": "harshgoel2001/notebook63d28eeadd", "kernel_id": "51081014"}, {"ref": "sankalp102/notebook3c185d1aae", "kernel_id": "51215108"}, {"ref": "simarjeetsingh11/ps-s3e22-eda-preprocessing-ensemble", "kernel_id": "51080507"}, {"ref": "simarjeetsingh11/notebook043e8922d0", "kernel_id": "51080522"}, {"ref": "ashnaarora251/predict-health-outcomes-of-horses", "kernel_id": "51071317"}, {"ref": "pasanpeiris/horse-health-outcome-prediction", "kernel_id": "51418850"}, {"ref": "hrshbachan3/horse-health-outcome-using-randomforestclassifier", "kernel_id": "51519870"}, {"ref": "jirapahuangyot/predict-health-outcome-of-horses2", "kernel_id": "52215443"}, {"ref": "sibgatulislam/notebookb550d32f2d", "kernel_id": "52733160"}, {"ref": "pahanisiwara/predict-health-outcomes-of-horses", "kernel_id": "52179342"}, {"ref": "huseyinsezen/horse-sickness-prediction", "kernel_id": "52650497"}, {"ref": "chahat03/health-outcomes-horses-p3", "kernel_id": "52310051"}, {"ref": "reaperlethal/predict-health-outcomes-of-horses", "kernel_id": "53816748"}, {"ref": "rishitaverma02/predict-health-outcomes-of-horses", "kernel_id": "53435685"}, {"ref": "mukkaraniranjankumar/horse-predictions-using-rf-classification", "kernel_id": "54491534"}, {"ref": "anadyasahai/health-outcome-of-horses-anadya", "kernel_id": "54515125"}, {"ref": "salonijaroli/horses-saloni", "kernel_id": "54222447"}, {"ref": "shwetakk/notebook51c1343263", "kernel_id": "54684061"}, {"ref": "sakshamsikri8/horses-saloni", "kernel_id": "54265494"}, {"ref": "namishjindal4/predict-health-outcomes-of-horses", "kernel_id": "54326838"}, {"ref": "nishthakumari20/predict-health-outcomes-of-horses", "kernel_id": "54353987"}, {"ref": "tanishas2024/horse-health", "kernel_id": "54711768"}, {"ref": "ahmadsaidmoldhariya/horse-health", "kernel_id": "55832111"}, {"ref": "chirag2306/predict-health-outcomes-of-horses", "kernel_id": "55091111"}, {"ref": "stpeteishii/horse-health-pycaret", "kernel_id": "60597052"}, {"ref": "hikmetdevlet/14-predict-health-outcomes-of-horses", "kernel_id": "60894677"}, {"ref": "kachhawagoutham/ml-horse-health", "kernel_id": "63805413"}, {"ref": "rishavwalde/predict-health-outcomes", "kernel_id": "64677292"}, {"ref": "nicholastwallace/horse-health-outcome", "kernel_id": "65540097"}, {"ref": "metinhsimimi/health-outcomes-of-horses-eda-visualize-deep-50", "kernel_id": "66337760"}, {"ref": "tobniislam/health-outcomes-of-horses", "kernel_id": "67103719"}, {"ref": "tech105/horse-prediction", "kernel_id": "70959696"}, {"ref": "alislamanik/playground-h", "kernel_id": "77958302"}, {"ref": "charleskluis/autogluon-competition-solution", "kernel_id": "82929837"}, {"ref": "charleskluis/flaml-automl-competition-solution", "kernel_id": "82925181"}, {"ref": "ivarvb/dcc25te1", "kernel_id": "83166874"}, {"ref": "luiscutipa/notebook0fada2d85a", "kernel_id": "83572805"}, {"ref": "charleskluis/fork-of-autogluon-competition-solution", "kernel_id": "83491138"}, {"ref": "hakureilemon/notebook52150452ce", "kernel_id": "83941082"}, {"ref": "percyqn/caballos", "kernel_id": "83670667"}, {"ref": "idowudaniel/health-outcomes-of-horses", "kernel_id": "92900778"}, {"ref": "leyuzakoksoken/predicting-horse-health-outcomes-histgradientboost", "kernel_id": "108334160"}, {"ref": "sevvalclalcebeciolu/horse-health-outcome-prediction", "kernel_id": "109236411"}, {"ref": "zqx960151285/predict-health-outcomes-of-horses", "kernel_id": "130109594"}]}
{"competition_id": "59122", "kernels": [{"ref": "makotohanada/fukuoka2023-sample-submission", "kernel_id": "42616304"}, {"ref": "makotohanada/fukuoka2023-sample", "kernel_id": "42711213"}, {"ref": "popcornmike/score-0-07308-sample-lightgbm-oof", "kernel_id": "43171410"}]}
{"competition_id": "59156", "kernels": [{"ref": "kriyeng/mabe-challenge-captioned-episodes-video-renderer", "kernel_id": "92600043"}, {"ref": "rhtsingh/mabe-2025-complete-eda-and-analysis", "kernel_id": "92529322"}, {"ref": "stpeteishii/mouse-behavior-tracking-analysis", "kernel_id": "92629741"}, {"ref": "stpeteishii/mouse-action-animation", "kernel_id": "92808585"}, {"ref": "ahsuna123/meta-data-only-baseline", "kernel_id": "92575112"}, {"ref": "ahsuna123/mabe-finding-comprehensive-eda-quality-check", "kernel_id": "92547625"}, {"ref": "ahsuna123/starter-baseline", "kernel_id": "92573554"}, {"ref": "dedquoc/mabe-v2-submission-eda", "kernel_id": "92894655"}, {"ref": "wguesdon/mabe-simplified-starter-code", "kernel_id": "92598661"}, {"ref": "wguesdon/mabe-r-eda-and-baseline", "kernel_id": "92645054"}, {"ref": "tom99763/starter-submission", "kernel_id": "92519085"}, {"ref": "hidebu/eda-mabe-challenge", "kernel_id": "92539811"}, {"ref": "hcmustnk17/mabe-challenge-baseline-stgcn-0-06", "kernel_id": "92718645"}, {"ref": "mos3santos/mabe-challenge-baseline", "kernel_id": "92849616"}, {"ref": "jocelyndumlao/mabe-robust-validated-and-documented-baseline", "kernel_id": "92701385"}, {"ref": "ambrosm/mabe-validated-baseline-without-machine-learning", "kernel_id": "92610484"}, {"ref": "ambrosm/mabe-eda-which-makes-sense", "kernel_id": "92566348"}, {"ref": "ambrosm/mabe-nearest-neighbors-the-original", "kernel_id": "92938474"}, {"ref": "seowoohyeon/mabe-eda-lgbm-train-baseline", "kernel_id": "92490453"}, {"ref": "alejandravillarreal/eda-mabe-callenge", "kernel_id": "92531098"}, {"ref": "taylorsamarel/mabe-challenge-eda-starter-model", "kernel_id": "92491455"}, {"ref": "antoninadolgorukova/mabe-sanity-checks-data-issues", "kernel_id": "92728719"}, {"ref": "antoninadolgorukova/mabe-an-exploratory-data-safari", "kernel_id": "92583014"}, {"ref": "wassimtahir/animating-mouse-moves-advanced-eda-for-the-mabe", "kernel_id": "92729998"}, {"ref": "aryapjoshi/mabe-mouse-behavior-detection", "kernel_id": "92890970"}, {"ref": "anthonytherrien/mabe-challenge-regression", "kernel_id": "92577092"}, {"ref": "rejk11/mabe-exploring-the-mouse-dataset", "kernel_id": "92533529"}, {"ref": "rejk11/mabe-challenge-play-a-video-sample-on-kaggle", "kernel_id": "92776780"}, {"ref": "rejk11/mabe-exploring-the-mice-dataset", "kernel_id": "92776111"}, {"ref": "rejk11/mabe-challenge-parsed-baseline", "kernel_id": "92774625"}, {"ref": "hamzaabbasai/mabe-challenge-lightgbm-fast-baseline", "kernel_id": "92656209"}, {"ref": "rohanrk1813/mabe-challenge", "kernel_id": "92916174"}, {"ref": "antonoof/social-action-recognition-in-mice-eda-and-video", "kernel_id": "92498322"}, {"ref": "snnguynvnk19hl/mabe-challenge-pipeline-ml", "kernel_id": "92991257"}, {"ref": "snnguynvnk19hl/mabe-challenge-baseline", "kernel_id": "92671646"}, {"ref": "wafaaalayoubi/1-full-eda", "kernel_id": "92800388"}, {"ref": "mah20050/plot-and-prediction-pets-information-with-r", "kernel_id": "92870111"}, {"ref": "toni0710/mabe-eda", "kernel_id": "92709248"}, {"ref": "erenata/mabe-quick-exploratory-data-analysis", "kernel_id": "92838345"}, {"ref": "olaflundstrom/mabe-challenge", "kernel_id": "92968691"}, {"ref": "willhirsch/arena-size-in-mabe-sarm", "kernel_id": "92745391"}, {"ref": "yusuketogashi/mabe-launchpad-start-simple-localcv", "kernel_id": "92685223"}, {"ref": "sanciulisfreitas/mabe-gpu-optimized-pipeline", "kernel_id": "92950073"}, {"ref": "sanciulisfreitas/mabe-minimal-solution-fixed", "kernel_id": "92989014"}, {"ref": "sanciulisfreitas/mabe-final-solution", "kernel_id": "92989566"}, {"ref": "sanciulisfreitas/mabe-corrected-solution", "kernel_id": "92994366"}, {"ref": "sanciulisfreitas/mabe-simple-solution", "kernel_id": "92959087"}, {"ref": "sanciulisfreitas/mabe-script-solution", "kernel_id": "92956646"}, {"ref": "sanciulisfreitas/mabe-working-solution", "kernel_id": "92956209"}, {"ref": "sanciulisfreitas/mabe-deep-learning-solution", "kernel_id": "92956955"}, {"ref": "sanciulisfreitas/mabe-monitor-test-quick-validation", "kernel_id": "92954018"}, {"ref": "sanciulisfreitas/mabe-complete-solution", "kernel_id": "92954809"}, {"ref": "ishaup/mabe-challenge-starter-eda-baseline-mouse", "kernel_id": "92977907"}, {"ref": "sheevagholami/notebook557ab2018b", "kernel_id": "92980083"}, {"ref": "sunbluesome123/00-mabe-eda-and-literature-information", "kernel_id": "92900828"}, {"ref": "stpeteishii/mouse-behavior-detection-with-lgbm-xgb-catb-rf", "kernel_id": "93425402"}, {"ref": "mpwolke/delirious-mice-fly-mars-mp4", "kernel_id": "93293198"}, {"ref": "steven556610/mabe-ratatouille", "kernel_id": "93064249"}, {"ref": "kmatsu01/visualizing-mouse-pose-track", "kernel_id": "93588244"}, {"ref": "kmatsu01/2-5d-cnn-for-mouse-social-action-detection", "kernel_id": "93632984"}, {"ref": "taylorsamarel/hybrid-combined-approach", "kernel_id": "93098981"}, {"ref": "taylorsamarel/mabe-nearest-neighbors-testing-new-features", "kernel_id": "93307731"}, {"ref": "taylorsamarel/ewc-continual-learning", "kernel_id": "93452442"}, {"ref": "taylorsamarel/maybe-remix", "kernel_id": "93817553"}, {"ref": "yogeshbawankar/mabe-lgbm-temporal-pipeline", "kernel_id": "93597333"}, {"ref": "yuanbopang/mabe-mouse-behavior-submission-conv1dbilstm", "kernel_id": "93618441"}, {"ref": "aditi262806/notebook07d0791d1c", "kernel_id": "93256223"}, {"ref": "snnguynvnk19hl/mabe-challenge-lgbm", "kernel_id": "93400470"}, {"ref": "godswillojukwu/remix-mabe-notebook", "kernel_id": "93201377"}, {"ref": "divine5coder/mabe-eda-v3", "kernel_id": "93065822"}, {"ref": "adilshamim8/mabe-challenge", "kernel_id": "93146481"}, {"ref": "alifarrokhnejad/mabe-challenge-lstm", "kernel_id": "93585523"}, {"ref": "wafaaalayoubi/2-baseline-lightgbm-0-96", "kernel_id": "93071653"}, {"ref": "wafaaalayoubi/advanced-feature-engineering", "kernel_id": "93324906"}, {"ref": "rahuljiwane/mabe-notebook-rj", "kernel_id": "93145643"}, {"ref": "arandomhobbyist/pipeline-for-tracking-mice", "kernel_id": "93126180"}, {"ref": "albab12/rule-based-baseline-for-mabe-mouse-behavior", "kernel_id": "93314980"}, {"ref": "mukhilkannan/0-39-score", "kernel_id": "93454007"}, {"ref": "rizkifirman/mabe-mouse-social-behavior-competition", "kernel_id": "93248013"}, {"ref": "rizkifirman/competition-mabe-mouse-social-behavior", "kernel_id": "93321564"}, {"ref": "rizkifirman/mabe-challenge-ml", "kernel_id": "93328042"}, {"ref": "rizkifirman/machine-learning-mabe-challange-mouse-social", "kernel_id": "93346676"}, {"ref": "anushkadas2313002101/mabe-lightgbm-for-behavior-prediction", "kernel_id": "93122856"}, {"ref": "rawanebrahem/mabe-challenge-social-action-recognition-in-mice", "kernel_id": "93299227"}, {"ref": "lunthu/mabe-challenge-lightgbm", "kernel_id": "94286656"}, {"ref": "ryzhokhina/mabe-dataset-eda", "kernel_id": "94522763"}, {"ref": "francisganong/1-full-eda-extended-to-multitasking", "kernel_id": "94307024"}, {"ref": "mathieuduverne/mabe-nn-motion-features", "kernel_id": "94380273"}, {"ref": "mattiaangeli/maybe-remix-fps-corrected", "kernel_id": "94684337"}, {"ref": "taylorsamarel/2-5-test", "kernel_id": "94724902"}, {"ref": "taylorsamarel/1d-conv-net", "kernel_id": "94235796"}, {"ref": "taylorsamarel/v2-mabe-remix", "kernel_id": "94135878"}, {"ref": "taylorsamarel/v3-mabe-remix-moe", "kernel_id": "94383262"}, {"ref": "taylorsamarel/tuning-1d-conv-net", "kernel_id": "94295650"}, {"ref": "yogeshbawankar/mabe-v1", "kernel_id": "94388996"}, {"ref": "ruwadnaswan/1-full-eda-extended-version", "kernel_id": "94215546"}, {"ref": "yanyiyang/genica", "kernel_id": "94876075"}, {"ref": "guntasdhanjal/mabe-eda-behavior-analysis-features", "kernel_id": "94382875"}, {"ref": "tulayppppp/10-10-2025-mabe-mickey-mouse", "kernel_id": "94629425"}, {"ref": "magicxm/mice-data-clean-restructure", "kernel_id": "94614682"}, {"ref": "yuanyuanji07/mabe-mouse-behavior-detection", "kernel_id": "94925606"}, {"ref": "alifarrokhnejad/mabe-challenge-rf", "kernel_id": "94597384"}, {"ref": "kushubhai/mabe-visualization", "kernel_id": "94886555"}, {"ref": "willhirsch/mabe22-movies-keypoint-allocation-issue", "kernel_id": "94163759"}, {"ref": "analyticaobscura/mabe-v1-mouse-action-recognition", "kernel_id": "94276061"}, {"ref": "cwmcodecwmcode/data-analyze", "kernel_id": "94705510"}, {"ref": "mukhilkannan/optuna-tuning-0-41", "kernel_id": "94875259"}, {"ref": "mihirkhatri1710/competition", "kernel_id": "94721031"}, {"ref": "brahimbrah/proccessing-notebook", "kernel_id": "94693978"}, {"ref": "mhamza0810/mabe-optimized-features", "kernel_id": "94136259"}, {"ref": "clehmann10/mabe-eda-tutorial", "kernel_id": "95638838"}, {"ref": "ht5brer/mabe-lstm-modeling", "kernel_id": "95258799"}, {"ref": "mattiaangeli/maybe-remix-fps-corrected-v2", "kernel_id": "95368676"}, {"ref": "lordpatil/fast-eda-and-fast-baseline", "kernel_id": "95039761"}, {"ref": "lordpatil/most-frequent-behaviour-baseline", "kernel_id": "95973201"}, {"ref": "lordpatil/duckdb-eda-with-mouse-images", "kernel_id": "95634913"}, {"ref": "taylorsamarel/new-notebook-mabe", "kernel_id": "95534218"}, {"ref": "mustafa888wasif/mabe-challenge-model", "kernel_id": "95347287"}, {"ref": "saibhossain/ai-model-for-mouse-social-behaviors", "kernel_id": "95330650"}, {"ref": "houxiyu/mabe-1017", "kernel_id": "95368336"}, {"ref": "kushubhai/mabe-new-dataset-creation", "kernel_id": "95025936"}, {"ref": "arizalfirdaus123/mabe-fast-baseline-with-lgbm", "kernel_id": "95139694"}, {"ref": "kerta27/mabe-lgb-xgb-catboost", "kernel_id": "95696392"}, {"ref": "ayaayman1/notebook74c603048d", "kernel_id": "95285382"}, {"ref": "hutch1221/mabe-starter-train-ja", "kernel_id": "96466012"}, {"ref": "cody11null/squeeze-gbt", "kernel_id": "96257128"}, {"ref": "sangharshnikam/mabe-code-1", "kernel_id": "96027990"}, {"ref": "hoparkjh/kaggle-study", "kernel_id": "96927173"}, {"ref": "chengzhijiang/maybe2025-exp-notebook0-43lb", "kernel_id": "96325712"}, {"ref": "zhiqidai/fast-eda-and-fast-baseline", "kernel_id": "96750065"}, {"ref": "paharpurailab/mouse-behaviour-prediction-v1", "kernel_id": "96756154"}, {"ref": "cdeotte/pip-install-koolbox", "kernel_id": "97592926"}, {"ref": "antoninadolgorukova/mabe-data-constraints-modeling-implications", "kernel_id": "97716907"}, {"ref": "ravaghi/social-action-recognition-in-mice-xgboost", "kernel_id": "97088022"}, {"ref": "ravaghi/social-action-recognition-in-mice-ensemble", "kernel_id": "97088033"}, {"ref": "sanjayl007/notebookd40c4c66c7", "kernel_id": "97403492"}, {"ref": "houxiyu/social-action-recognition-in-mice-xgboost", "kernel_id": "97527597"}, {"ref": "zidanrdn/preprocessing-data-aksi-tikus", "kernel_id": "97807724"}, {"ref": "fabiendaniel/sarim-xgboost-submission-dataset", "kernel_id": "98634716"}, {"ref": "kumarandatascientist/mabepipeline-v1-model", "kernel_id": "98777419"}, {"ref": "mattiaangeli/mabe-extra-trees-gpu", "kernel_id": "98948959"}, {"ref": "osman0/mousebehavior-parquet2video", "kernel_id": "98159538"}, {"ref": "shivang2419/mabe-challenge-baseline", "kernel_id": "98539710"}, {"ref": "vinit08/mabe-notebook", "kernel_id": "98784742"}, {"ref": "bvproperty/mabe-mouse-behavior-training", "kernel_id": "98954336"}, {"ref": "bvproperty/mabe-mouse-behavior-inference", "kernel_id": "98969726"}, {"ref": "robertoulisesquiroz/mabe2025-v2-un-codigo", "kernel_id": "98181452"}, {"ref": "octaviograu/mabe-extra-trees-gpu-private-improvements", "kernel_id": "99187137"}, {"ref": "lordpatil/fps-aware-binary-classification", "kernel_id": "99857218"}, {"ref": "dankrstev/ratgi", "kernel_id": "99079933"}, {"ref": "osman0/mike-behavior-detection-ensemble-model", "kernel_id": "99163122"}, {"ref": "houxiyu/mabe-xgboost-lstm", "kernel_id": "99832690"}, {"ref": "bvproperty/mabe-extra-trees-optuna", "kernel_id": "99365952"}, {"ref": "arunprakash009/notebook417492b6be", "kernel_id": "99526416"}, {"ref": "hutch1221/mabe-package", "kernel_id": "100172138"}, {"ref": "tapasb/mabe-advanced-v2-optimized", "kernel_id": "100727533"}, {"ref": "tapasb/mabe-advanced-model-v2", "kernel_id": "100535377"}, {"ref": "tapasb/mabe-behavior-v3", "kernel_id": "100286943"}, {"ref": "tapasb/mabe-behavior-v2", "kernel_id": "100245744"}, {"ref": "tapasb/mabe-behavior-detection-iteration-1", "kernel_id": "100145353"}, {"ref": "kaitokusumoto/mabe-eda-which-makes-sense-with-plotly", "kernel_id": "100184956"}, {"ref": "subbusrikantam/mabe-pipeline", "kernel_id": "100371119"}, {"ref": "houxiyu/social-action-recognition-in-mice-lightgbm", "kernel_id": "100475539"}, {"ref": "bvproperty/mabe-fps-aware-mode-aware-thresholds-v4", "kernel_id": "100046730"}, {"ref": "bvproperty/mabe-fps-aware-mode-aware-thresholds-v3", "kernel_id": "100045947"}, {"ref": "bvproperty/mattia-angeli-maybe-remix-v3-enhanced", "kernel_id": "100194580"}, {"ref": "bvproperty/cv-training-and-inference", "kernel_id": "100292039"}, {"ref": "hwangharam/social-action-recognition-in-mice-xgboost-study", "kernel_id": "100905655"}, {"ref": "hutch1221/mabe-starter-inference-ja", "kernel_id": "101372128"}, {"ref": "ymatioun/mabe-blend-ym", "kernel_id": "101742657"}, {"ref": "mahmoudashraf7400/tcn-model-construction-with-tensorflow-keras", "kernel_id": "101798262"}, {"ref": "thc1006/mabe-resnet1d-inference-pipeline", "kernel_id": "101699991"}, {"ref": "osman0/mouse-behavior-storyboard", "kernel_id": "101530739"}, {"ref": "houxiyu/social-action-recognition-in-mice-xgb-catb", "kernel_id": "101826563"}, {"ref": "kongyanmiao/social-action-recognition-in-mice-lightgbm", "kernel_id": "101832494"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "gssreshta/maybe-remix-fps-corrected", "kernel_id": "101903093"}, {"ref": "gssreshta/mabe-lgb-xgb-catboostsss", "kernel_id": "101901782"}, {"ref": "gssreshta/mabe-mouse-action-recognit", "kernel_id": "101906744"}, {"ref": "gssreshta/social-action-recognition-in-mice-ensemble", "kernel_id": "101899774"}, {"ref": "duoguin/jerry-feature-dev", "kernel_id": "101000949"}, {"ref": "takatoyoshikawa/ensemble-mabe-tenten-submit", "kernel_id": "102462290"}, {"ref": "mahmoudashraf7400/mabe-social-interaction-recognition", "kernel_id": "102151622"}, {"ref": "mattiaangeli/mabe-xgb-v9-ensemble", "kernel_id": "102943420"}, {"ref": "miadul/mabe-predication", "kernel_id": "102686360"}, {"ref": "giaanp/mabe-best", "kernel_id": "102074475"}, {"ref": "dheerajkannaujiya/lstm-0-35", "kernel_id": "102658379"}, {"ref": "bbobwayne/wayneia-mabe-v11-fixed-20251126-144245", "kernel_id": "102626670"}, {"ref": "bbobwayne/wayneia-mabe-v11-20251126-142853", "kernel_id": "102625932"}, {"ref": "bbobwayne/wayneia-mabe-v11-20251126-142911", "kernel_id": "102625940"}, {"ref": "bbobwayne/wayneia-learning-iteration-1-20251126-162525", "kernel_id": "102631987"}, {"ref": "bbobwayne/wayneia-learning-iteration-1-20251126-155606", "kernel_id": "102630421"}, {"ref": "bbobwayne/wayneia-mabe-v11-corrected-20251126-150827", "kernel_id": "102627788"}, {"ref": "bbobwayne/wayneia-mabe-v11-final-20251126-150447", "kernel_id": "102627611"}, {"ref": "bbobwayne/wayneia-mabe-simple-working-20251126-154949", "kernel_id": "102630079"}, {"ref": "natuan05/0-1-eda", "kernel_id": "102371737"}, {"ref": "natuan05/0-3-l-n-l-p-3-n-khi-submission-chu-n", "kernel_id": "102546650"}, {"ref": "vandaimaket/mouselightgbm", "kernel_id": "102950980"}, {"ref": "mattiaangeli/mabe-xgb-v5-extra-feats", "kernel_id": "103476395"}, {"ref": "suenpeiren/mabe-xgb", "kernel_id": "103926615"}, {"ref": "bariarituratibhai/mabe-starter-inference-ja", "kernel_id": "103963867"}, {"ref": "toni0710/mabe-submit-adjusted-leakage-data", "kernel_id": "103922815"}, {"ref": "alhamdywahyu/projekml", "kernel_id": "103547889"}, {"ref": "aerdem4/mabe-final-ensemble-f9e8a0-d41dff", "kernel_id": "104506348"}, {"ref": "cdeotte/7th-place-gold-mouse-comp-cv-0-56-lb-0-56", "kernel_id": "104619639"}, {"ref": "kmatsu01/mabe-2-5d-maxvit-3d-stem", "kernel_id": "104966451"}, {"ref": "muhammadharoonmemon/notebook9660e249c2-11c645", "kernel_id": "104649383"}, {"ref": "houxiyu/mabe-12-18", "kernel_id": "104849373"}, {"ref": "shu01jp/mabe-exp128-132-inf", "kernel_id": "104520291"}, {"ref": "sachchidanandadaki/mabe-full", "kernel_id": "104509078"}, {"ref": "mquan1503/train-v3-last", "kernel_id": "104114776"}, {"ref": "quocdinh29/notebook-qs", "kernel_id": "104344732"}, {"ref": "shogoetorin/first-submission", "kernel_id": "104563674"}, {"ref": "huluhulu19/mabe-extra-trees-gpu-full-combo", "kernel_id": "104408846"}, {"ref": "kmatsu01/mabe-2-5d-maxvit-3d-stem-train-oof-opt", "kernel_id": "105174017"}, {"ref": "houxiyu/model-comparion", "kernel_id": "105756006"}, {"ref": "houxiyu/mabe-12-25", "kernel_id": "105455892"}, {"ref": "kongyanmiao/mabe-12-18", "kernel_id": "105442224"}, {"ref": "yono18/mabe-boosting-model-prediction-500-iter", "kernel_id": "105109104"}, {"ref": "isaaclinus/mabe-submission-portfolio", "kernel_id": "106265441"}, {"ref": "wangxiuping/mabe-12-18-672f51", "kernel_id": "106062046"}]}
{"competition_id": "59217", "kernels": [{"ref": "danipipe777/tutoria-1-af-ii-2023-ii-transformers", "kernel_id": "42370399"}, {"ref": "danipipe777/tutoria-1-af-ii-2023-ii-nn", "kernel_id": "43068856"}]}
{"competition_id": "59233", "kernels": []}
{"competition_id": "59239", "kernels": [{"ref": "gregoryklevans/customer-churn-random-forest-regressor", "kernel_id": "42239343"}, {"ref": "kuldeeplodha/telecom-churn-case-study", "kernel_id": "42811110"}, {"ref": "rakeshkrishnamurthy/solution", "kernel_id": "42839650"}]}
{"competition_id": "59291", "kernels": [{"ref": "dvk911911/load-ds-be-test", "kernel_id": "42980279"}, {"ref": "jasonheesanglee/wheel-downloader", "kernel_id": "42650574"}, {"ref": "docxian/writing-processes-2-quality-starter", "kernel_id": "43920255"}, {"ref": "prithviraj7387/linking-writing-quality-eda", "kernel_id": "43978447"}, {"ref": "ryanholbrook/writing-processes-efficiency-lb", "kernel_id": "43910749"}, {"ref": "mpwolke/writing-processes-holistic-quality", "kernel_id": "43926670"}, {"ref": "mvoulo/writing-process-and-quality-feature-engineering", "kernel_id": "43969465"}, {"ref": "abdul95q8/cursor-moving-animation", "kernel_id": "43971526"}, {"ref": "dangnguyen97/h20-hyperparameters-grid-search-v1", "kernel_id": "43930305"}, {"ref": "dangnguyen97/h2o-hyperparameters-grid-search", "kernel_id": "43928408"}, {"ref": "dangnguyen97/0-691-tuning-step-by-step-h2o-ai", "kernel_id": "43936091"}, {"ref": "dangnguyen97/0-66-clean-outlier-combine-multiple-models", "kernel_id": "43974005"}, {"ref": "takaito/lwpwq-public-baseline-notebook", "kernel_id": "43954373"}, {"ref": "j13mehul/understanding-the-competition", "kernel_id": "43955415"}, {"ref": "ravi20076/writingquality-preprocesseddataset", "kernel_id": "43946770"}, {"ref": "ravi20076/writingquality-baseline-models", "kernel_id": "43998461"}, {"ref": "olegzholobov/parlorsky-simple-eda", "kernel_id": "43920140"}, {"ref": "nhttinnguynbch/lwpwq-public-baseline-notebook", "kernel_id": "43975998"}, {"ref": "chrisk321/linking-writing-processes-eda-submission", "kernel_id": "43920874"}, {"ref": "akscodes/eda-and-feature-engineering-keystroke-measures", "kernel_id": "43991561"}, {"ref": "jasonheesanglee/updated-75-35-acc-revealing-hidden-words", "kernel_id": "43997072"}, {"ref": "pehahn/keystroke-measures-in-r", "kernel_id": "44137305"}, {"ref": "pehahn/xgb-base-in-r", "kernel_id": "44304772"}, {"ref": "alexia/kerasnlp-starter-notebook-writing-quality", "kernel_id": "44120233"}, {"ref": "aerdem4/writing-quality-lofo-feature-importance", "kernel_id": "44518262"}, {"ref": "safavieh/writingquality-extract-final-text-encoded-tfidf", "kernel_id": "44533119"}, {"ref": "nicapotato/linking-writing-processes-to-writing-quality-eda", "kernel_id": "44217790"}, {"ref": "ianchute/1-univariate-model", "kernel_id": "44637414"}, {"ref": "ianchute/2-bivariate-model", "kernel_id": "44637958"}, {"ref": "davidhguerrero/eda-linking-writing-processes", "kernel_id": "44398793"}, {"ref": "datark1/eda-for-better-data-understanding", "kernel_id": "44210328"}, {"ref": "hengzheng/link-writing-simple-lgbm-baseline", "kernel_id": "44166451"}, {"ref": "marekm4/writing-process", "kernel_id": "44014585"}, {"ref": "qwerty29544/baseline-reggression", "kernel_id": "44701975"}, {"ref": "utm529fg/lwpwq-log-animation", "kernel_id": "44231282"}, {"ref": "utm529fg/lwpwq-eng-initial-eda", "kernel_id": "44198244"}, {"ref": "guidosalimbeni/writing-quality-prediction-in-picture", "kernel_id": "44101299"}, {"ref": "tianmin/visualization-writing-process-quality-eda", "kernel_id": "44095097"}, {"ref": "kentatanaka1data/eda-distribution-of-train-dataset", "kernel_id": "44638044"}, {"ref": "luispintoc/sample-submission", "kernel_id": "44620643"}, {"ref": "patrick0302/time-series-viz-of-writing-behavior", "kernel_id": "44074384"}, {"ref": "patrick0302/does-counts-count", "kernel_id": "44116747"}, {"ref": "yuriao/lgbm-numeric-feature-engineering", "kernel_id": "44156923"}, {"ref": "yuriao/lgbm-baseline", "kernel_id": "44066493"}, {"ref": "yuriao/lgbm-numeric-non-numeric-feat-engineering", "kernel_id": "44316595"}, {"ref": "yuriao/eda-feature-patterns-across-the-scores", "kernel_id": "44736057"}, {"ref": "edchang1992/writing-processes-to-quality-linreg-baseline", "kernel_id": "44556527"}, {"ref": "aleron751/fork-of-lgbm-numeric-non-numeric-feat-engin-70f417", "kernel_id": "44851904"}, {"ref": "yuqianwanglili/notebookf639a6cc75", "kernel_id": "44064784"}, {"ref": "rajatsurana979/predicting-essay-quality-from-typing-behavior", "kernel_id": "44758436"}, {"ref": "aliabdin1/how-does-llm-multi-modality-work", "kernel_id": "44140590"}, {"ref": "kenmoro/first-eda", "kernel_id": "44921014"}, {"ref": "bkowshik/train-validate-test-writing-process-to-quality", "kernel_id": "44262540"}, {"ref": "bkowshik/down-and-up-times-of-successive-events", "kernel_id": "44216106"}, {"ref": "dangnguyen97/feature-eng-clean-outlier-lgbm-with-optuna", "kernel_id": "44259462"}, {"ref": "dangnguyen97/rmse-0-3x-lgbm-baseline-with-h2o-finetuned", "kernel_id": "44176828"}, {"ref": "yekahaaagayeham/writing-process-eda", "kernel_id": "44726493"}, {"ref": "abhranta/lgbm-finetuning-with-optuna", "kernel_id": "44170866"}, {"ref": "lordxerxes/baseline-solution", "kernel_id": "44665458"}, {"ref": "kelvinquansah/gradient-boosting-regression", "kernel_id": "44124160"}, {"ref": "somesh88/pycaret-baseline-eda-writing-quality", "kernel_id": "44614364"}, {"ref": "mcpenguin/writing-processes-to-quality-baseline", "kernel_id": "44251339"}, {"ref": "mcpenguin/inference-writing-processes-to-quality", "kernel_id": "44242484"}, {"ref": "vyacheslavefimov/simple-eda-for-writing-quality-dataset", "kernel_id": "44928580"}, {"ref": "dmtrrr/linking-writing-process-transformer-nn-tf-fe", "kernel_id": "44960395"}, {"ref": "shaikikozashvili/base-model", "kernel_id": "44054980"}, {"ref": "thomaswrightanderson/linking-writing-processes-to-writing-quality-entry", "kernel_id": "44837479"}, {"ref": "takai380/typing-debertav3-baseline-infer", "kernel_id": "44776782"}, {"ref": "ravi20076/writingquality-essayreconstruction", "kernel_id": "44519533"}, {"ref": "klyushnik/writing-quality", "kernel_id": "44284802"}, {"ref": "adityaparikh668/xgboost-tuning-feature-extraction", "kernel_id": "44893067"}, {"ref": "azraimohamad/linking-writing-with-essay-score-lr", "kernel_id": "44813221"}, {"ref": "iqmansingh/quality-of-writing-eda-fs-lgbm-xgb-optuna", "kernel_id": "44307868"}, {"ref": "vidhikishorwaghela/keystroke-analysis-for-essay-quality-rf-mse-0-4", "kernel_id": "44034399"}, {"ref": "johnchristianvieri/analysis-and-prediction-model-rmse-0-14", "kernel_id": "44371899"}, {"ref": "kawaiicoderuwu/essay-constructor", "kernel_id": "44679293"}, {"ref": "sooyoungher/basemodel-ver02-writing-quality", "kernel_id": "44589459"}, {"ref": "oreehovich3/small-behavior-analysis-eda", "kernel_id": "44285248"}, {"ref": "oreehovich3/the-longer-the-better", "kernel_id": "44029419"}, {"ref": "oreehovich3/burst-behaviour-clusterization-using-tsne", "kernel_id": "44926884"}, {"ref": "yunsuxiaozi/writing-processes-writing-quality-eda", "kernel_id": "44120631"}, {"ref": "neupane9sujal/quality-of-writing-attempt-to-conformal-prediction", "kernel_id": "44638531"}, {"ref": "furduisorinoctavian/catboost-training-0-609-performance", "kernel_id": "44664810"}, {"ref": "furduisorinoctavian/short-eda-plotting-data-according-to-score", "kernel_id": "44599154"}, {"ref": "takudachi/linking-writing-notebook", "kernel_id": "44481113"}, {"ref": "polyakovstepan/text-change-research", "kernel_id": "44142254"}, {"ref": "polyakovstepan/random-forest-atboost-xgb-baseline", "kernel_id": "44099544"}, {"ref": "jasonheesanglee/eda-preprocessing-linking-wp2wq", "kernel_id": "44763837"}, {"ref": "dsjulie/project-linking-writing-processes", "kernel_id": "44793034"}, {"ref": "udaykirandevisetty/notebookeb19c6bbe8", "kernel_id": "44067040"}, {"ref": "hiarsl/feature-engineering-sentence-paragraph-features", "kernel_id": "45554190"}, {"ref": "pehahn/xgb-10-30-1", "kernel_id": "45345707"}, {"ref": "jairanjan/edabasiclightgbm", "kernel_id": "45329478"}, {"ref": "eraikako/from-a-to-z-eda-feature-engineering-modeling", "kernel_id": "45727338"}, {"ref": "ianchute/simple-chi-kernel-svm", "kernel_id": "45040405"}, {"ref": "ianchute/another-univariate-model-from-3-feats", "kernel_id": "45829871"}, {"ref": "utm529fg/lwpwq-eda-all-cursor-motion", "kernel_id": "45637426"}, {"ref": "olyatsimboy/towards-tf-idf-in-logs-features", "kernel_id": "45350512"}, {"ref": "gopidurgaprasad/youtube-video-writing-quality-lgbm", "kernel_id": "45263032"}, {"ref": "jagdmir/feature-engineering-models-comparison-cv-kfold", "kernel_id": "45527414"}, {"ref": "yash612/data-cleaning", "kernel_id": "45798182"}, {"ref": "yuriao/lgbm-feateng-essayfeateng", "kernel_id": "45898985"}, {"ref": "seanandrie/writingproc2qual-baseline-votingregressor", "kernel_id": "45406088"}, {"ref": "rajatsurana979/the-write-predictor", "kernel_id": "45301027"}, {"ref": "yuji96/reproduce-essay", "kernel_id": "45023198"}, {"ref": "davidjlochner/base-rmse-1-02473", "kernel_id": "45703393"}, {"ref": "lordxerxes/baseline-reggression", "kernel_id": "45112248"}, {"ref": "vyacheslavefimov/word-count-analysis-on-reconstructed-essays", "kernel_id": "45607540"}, {"ref": "vyacheslavefimov/text-construction-dataset-usage", "kernel_id": "45611413"}, {"ref": "vyacheslavefimov/word-count-analysis-on-constructed-essays", "kernel_id": "45601766"}, {"ref": "rikufootballcorner/keystroke-measures", "kernel_id": "45829446"}, {"ref": "natsumiarai/first-hisui-lwp-eda-ja-en", "kernel_id": "45641952"}, {"ref": "junjitakeshima/wrtqlty-easy-feature-analysis-eng", "kernel_id": "45242380"}, {"ref": "toma0624/writingquality-baseline-models", "kernel_id": "45618906"}, {"ref": "joehirose/eda-writing-process-as-image-time-x-cursor-pos", "kernel_id": "45503279"}, {"ref": "salvatoren/writing-process-eda", "kernel_id": "45871919"}, {"ref": "rushikeshmuley/automl-tpot-h20-ai-ipynb", "kernel_id": "45020784"}, {"ref": "azraimohamad/linking-writing-with-essay-score-lgbm", "kernel_id": "45045551"}, {"ref": "abdullahmeda/enter-ing-the-timeseries-space-sec-3-new-aggs", "kernel_id": "45359052"}, {"ref": "chetanbharambe/exploring-writing-behaviors-for-improved-writin", "kernel_id": "45251526"}, {"ref": "sauravmishraa/essay-writing-prediction", "kernel_id": "45250728"}, {"ref": "bulivington/lama-linking-writing", "kernel_id": "45248106"}, {"ref": "magnussesodia/writing-processes-eda", "kernel_id": "45813117"}, {"ref": "aliibrahimali/easly-notebook-feature-engineering-catboost", "kernel_id": "45883907"}, {"ref": "prateekkp20/ime672", "kernel_id": "45308122"}, {"ref": "alexeyk12/choosing-a-boosting-algorithm", "kernel_id": "45268989"}, {"ref": "keishibata/lwpwq-feature-engineering-for-beginners-en", "kernel_id": "45284158"}, {"ref": "keishibata/lwpwq-simple-eda-en", "kernel_id": "45239536"}, {"ref": "eishkaran/simplest-lgbm", "kernel_id": "45463827"}, {"ref": "yunsuxiaozi/study-note-feature-engineer-is-important", "kernel_id": "45451186"}, {"ref": "awqatak/simple-average-blend-in-a-single-cell", "kernel_id": "45141984"}, {"ref": "awqatak/neural-network-pytorch", "kernel_id": "45798264"}, {"ref": "farinesfari/notebookcd13fc3cd3", "kernel_id": "45894640"}, {"ref": "seoyunje/shuffle-split-optuna", "kernel_id": "45511280"}, {"ref": "vachiry/writing-linking-model", "kernel_id": "45151164"}, {"ref": "mashangjiuhao/just-nb", "kernel_id": "45980706"}, {"ref": "alexryzhkov/lgbm-and-nn-on-sentences", "kernel_id": "46088985"}, {"ref": "habedi/baseline-model-with-over-2000-features", "kernel_id": "46396096"}, {"ref": "habedi/hyperparameter-optimization-using-optuna", "kernel_id": "46874498"}, {"ref": "pehahn/essay-with-r", "kernel_id": "46124760"}, {"ref": "gauravbrills/wptq-meta-window-models", "kernel_id": "46581726"}, {"ref": "rishabh15virgo/writing-quality-eda-multiclass-rf-tuned", "kernel_id": "46896692"}, {"ref": "rishabh15virgo/writing-quality-eda-regression-rf-reg-tuned", "kernel_id": "46991615"}, {"ref": "rishabh15virgo/writing-quality-eda-multiclass-all-models-baseline", "kernel_id": "46350607"}, {"ref": "chuboy/simple-essay-reconstructor", "kernel_id": "46482698"}, {"ref": "kononenko/lwp-unseen-test-activities-events", "kernel_id": "46743362"}, {"ref": "kononenko/learning-rate-0-04-lgbm-and-nn-on-sentences", "kernel_id": "46475899"}, {"ref": "yuriao/fast-essay-constructor", "kernel_id": "46224004"}, {"ref": "khederyazgi/33th-place-solution", "kernel_id": "46755376"}, {"ref": "erivanoliveirajr/r-0-9-the-number-of-events-and-score", "kernel_id": "46520116"}, {"ref": "mcpenguin/writing-processes-baseline-v2-lgbm-nn", "kernel_id": "46466809"}, {"ref": "kaylaippp/0-63-submission-writing-quality", "kernel_id": "46095068"}, {"ref": "toma0624/feature-engineering-sentence-paragraph-f-00ea71", "kernel_id": "46295604"}, {"ref": "toma0624/lgbm-x2-nn-sub1", "kernel_id": "46753351"}, {"ref": "jacobalstrup/nxlgbm-and-nn-vectorized-essay", "kernel_id": "46847540"}, {"ref": "satyaprakashshukl/simple-mean-solution", "kernel_id": "46280885"}, {"ref": "suraj520/word2vec-voting-gpu-k-fold-cv-optuna", "kernel_id": "46181351"}, {"ref": "yashgoel7291/ime672", "kernel_id": "46205326"}, {"ref": "magnussesodia/writing-processes-feature-generation", "kernel_id": "46154684"}, {"ref": "yongsukprasertsuk/writing-processes-to-quality-0-584", "kernel_id": "46544796"}, {"ref": "yunsuxiaozi/writing-quality-study-note-lightautoml", "kernel_id": "46839272"}, {"ref": "synful/catboost-default-hyperparameters-cv-0-56-lb-0-61", "kernel_id": "46247540"}, {"ref": "awqatak/efficiency-track-baseline", "kernel_id": "46936240"}, {"ref": "cody11null/lgbm-x2-nn", "kernel_id": "46715167"}, {"ref": "yeuuuf/writing-quality-ensemble", "kernel_id": "46510102"}, {"ref": "seoyunje/writing-quality-with-h2o-ai", "kernel_id": "46790981"}, {"ref": "amer77228833f/phase1", "kernel_id": "46008211"}, {"ref": "josephthibault/kld-thibault1-ezfeatures", "kernel_id": "46520223"}, {"ref": "habedi/simple-blending", "kernel_id": "47598412"}, {"ref": "gauravbrills/custom-transformer-on-essays", "kernel_id": "47326104"}, {"ref": "gauravbrills/writing-processes-to-quality-multiseed", "kernel_id": "47610366"}, {"ref": "gauravbrills/simple-tfidf-only-essays", "kernel_id": "47412889"}, {"ref": "gauravbrills/writing-quality-time-analysis", "kernel_id": "47900818"}, {"ref": "rishabh15virgo/eda-fe-stratified-kfold-multiple-models", "kernel_id": "47288687"}, {"ref": "rishabh15virgo/writing-quality-eda-fe-lgbm-reg-already-tuned", "kernel_id": "47057423"}, {"ref": "rishabh15virgo/writing-quality-eda-fe-lgbm-reg-kfold-tuned", "kernel_id": "47182527"}, {"ref": "rishabh15virgo/eda-fe-stratified-kfold-ensemble-essay-feats", "kernel_id": "47383041"}, {"ref": "rishabh15virgo/understanding-eda-fe-stratified-kfold-ensemble", "kernel_id": "47386933"}, {"ref": "rishabh15virgo/fe-stratified-kfold-ensemble-2xlgbm-1xrf-588", "kernel_id": "47415279"}, {"ref": "yamanity/function-convert-to-timeseries-data-1", "kernel_id": "47589056"}, {"ref": "alvinai9603/feature-selection-null-importance-cv-0-616-0-615", "kernel_id": "47953554"}, {"ref": "raki21/essay-reconstruction-error-in-word-count", "kernel_id": "47558244"}, {"ref": "tomooinubushi/reduce-unseen-test-events-with-ftfy", "kernel_id": "47269940"}, {"ref": "hideyukizushi/silver-bullet-single-model-optuna", "kernel_id": "47640323"}, {"ref": "yeoyunsianggeremie/writingquality-feature-set-ensemble", "kernel_id": "47865152"}, {"ref": "ehabelkady/notebook559efe1a32", "kernel_id": "47843467"}, {"ref": "rohitmalhotra0709/solution-top-10-private-score-of-0-563-automl", "kernel_id": "47008096"}, {"ref": "toma0624/lgbm-x2-nn-sub2", "kernel_id": "47086870"}, {"ref": "zainalinasir/lgbm-own", "kernel_id": "47073785"}, {"ref": "witoldnowogrski/stacking-classifier-in-keras", "kernel_id": "47216798"}, {"ref": "raviiloveyou/writing-excellence-amplified-by-dnn-ensembles", "kernel_id": "47534501"}, {"ref": "timbouris/linking-writing-processes-to-quality-full-process", "kernel_id": "47371502"}, {"ref": "pshikk/easy-random-forest-approach", "kernel_id": "47841174"}, {"ref": "iurigabriel/lgbm-xgboost", "kernel_id": "47683270"}, {"ref": "watehell/lightgbm-with-simple-preprocess", "kernel_id": "47615863"}, {"ref": "yunsuxiaozi/writing-quality-fusion-model", "kernel_id": "47989936"}, {"ref": "yunsuxiaozi/writing-quality-an-idea-about-transformer", "kernel_id": "47711674"}, {"ref": "yunsuxiaozi/traps-attention-is-your-need", "kernel_id": "47807978"}, {"ref": "yunsuxiaozi/writing-transformer-lightautoml", "kernel_id": "47777709"}, {"ref": "yunsuxiaozi/writing-quality-study-note", "kernel_id": "47430783"}, {"ref": "yunsuxiaozi/writing-quality-explorer", "kernel_id": "47633537"}, {"ref": "scottnewcomer/writing-quality-xgboost-numeric", "kernel_id": "47928740"}, {"ref": "awqatak/silver-bullet-single-model-165-features", "kernel_id": "47389381"}, {"ref": "prashantkumarsundge/linking-writing-processes-to-writing-quality", "kernel_id": "47018334"}, {"ref": "jenilgajjar/linking-writing-processes-to-writing-quality", "kernel_id": "47058983"}, {"ref": "jenilgajjar/linking-writing-processes-svr", "kernel_id": "47062589"}, {"ref": "seoyunje/feature-1-lgb-nn-ridge", "kernel_id": "47173131"}, {"ref": "seoyunje/gan-with-tabular-data", "kernel_id": "47863074"}, {"ref": "minhsienweng/lgbm-nn-xgboost-for-writing-quality-optuna", "kernel_id": "47424874"}, {"ref": "minhsienweng/votingregressor-7-models-165-features-optuna", "kernel_id": "47487972"}, {"ref": "anastasijarammul/random-forest-default-params", "kernel_id": "47240785"}, {"ref": "alyssanicholas/regressor-gradient-boosting-model", "kernel_id": "47601752"}, {"ref": "myeongwang/lgbm-lgbm-xgb-ensemble", "kernel_id": "47961053"}, {"ref": "josephthibault/kld-thibault2", "kernel_id": "47106938"}, {"ref": "pauljojr/linking-writing-process-to-quality", "kernel_id": "47481712"}, {"ref": "jrazdolsky1/linking-writing-process-to-quality", "kernel_id": "47529072"}, {"ref": "ruijing0429/writing-behavior-writing-score", "kernel_id": "47529597"}, {"ref": "sycj427/lwpwq-lgbm-203-features", "kernel_id": "47613012"}, {"ref": "mingjiaodiao/writing-qualities", "kernel_id": "47478068"}, {"ref": "patrickklem/notebook5287cd5e57", "kernel_id": "47480184"}, {"ref": "shradz18/building-neural-network-model", "kernel_id": "48412252"}, {"ref": "kingychiu/shake-estimation-with-nested-cross-validation", "kernel_id": "48401779"}, {"ref": "lhagiimn/lws-inference", "kernel_id": "48512978"}, {"ref": "gauravbrills/writing-processes-to-quality-cleaning-and-log1p", "kernel_id": "48288969"}, {"ref": "snnclsr/581-3-models-optimized-weights-165-features", "kernel_id": "48190016"}, {"ref": "vinitkp/writingprocesses-randomforestregressor", "kernel_id": "48963959"}, {"ref": "kononenko/lgbm-x2-nn-fusion", "kernel_id": "48239595"}, {"ref": "leonshangguan/gpu-selected-fe-inference-pipeline", "kernel_id": "48934323"}, {"ref": "leonshangguan/gpu-all-fe-inference-pipeline", "kernel_id": "48980428"}, {"ref": "cwwong1606/lwp2wq-submission4-5", "kernel_id": "48903114"}, {"ref": "jaloeffe92/fasttext-linkingwriting-prcs-to-writing-quality", "kernel_id": "48092637"}, {"ref": "hideyukizushi/wq-train-fev122414", "kernel_id": "48303573"}, {"ref": "patinvestorstew/notebookfb5e80b052", "kernel_id": "48661166"}, {"ref": "manikantasanjayv/catboost-xgboost-regressor", "kernel_id": "48155334"}, {"ref": "chaudharypriyanshu/5th-place-solution", "kernel_id": "48705645"}, {"ref": "arwani/with-ml", "kernel_id": "48766534"}, {"ref": "zyhchasel/76th-place-solution-pb-0-566", "kernel_id": "48301926"}, {"ref": "miyaryo/typing-prepare-data", "kernel_id": "48759658"}, {"ref": "halilergul/train-on-all-data", "kernel_id": "48738004"}, {"ref": "magnussesodia/writing-processes-baseline-features", "kernel_id": "48776441"}, {"ref": "yunsuxiaozi/writing-quality-how-to-make-fake-data", "kernel_id": "48063800"}, {"ref": "yunsuxiaozi/attention-public-test-data-may-be-0", "kernel_id": "48362965"}, {"ref": "yunsuxiaozi/writing-quality-fusion-notebook", "kernel_id": "48202461"}, {"ref": "yeuuuf/fusion-notebook", "kernel_id": "48912095"}, {"ref": "suryanshsharma1/lgbm-nn-fusion-xgb-ensemble", "kernel_id": "48650431"}, {"ref": "showering/catboost", "kernel_id": "48171011"}, {"ref": "minlongchenix/add-feature-product-vs-process", "kernel_id": "48842380"}, {"ref": "amirrezamehrzadian/writing-quality", "kernel_id": "48266016"}, {"ref": "seoyunje/41th-place-solution", "kernel_id": "48371012"}, {"ref": "taichiuemura/understanding-feature-generation-functions", "kernel_id": "48157340"}, {"ref": "superxiaotang/dark-bullet-lightautoml-features-fusion", "kernel_id": "48722394"}, {"ref": "yaolinqingill/notebookad6d7b8e7d", "kernel_id": "48572675"}, {"ref": "huhuajin1/writing-processes-to-quality-baseline", "kernel_id": "48075932"}, {"ref": "haris33/linking-writing", "kernel_id": "48692596"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-dh-13c", "kernel_id": "49648379"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-dh-36g", "kernel_id": "49649187"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-dh-39a", "kernel_id": "49649235"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-ch-8e6-8fold", "kernel_id": "49852517"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-ch-7d-f80c7c-fold", "kernel_id": "49852839"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-dh-39f-part1", "kernel_id": "49842592"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-dh-39f-part2", "kernel_id": "49843994"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-dh-49b", "kernel_id": "49845689"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-dh-39j-part1", "kernel_id": "49845729"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-dh-39j-part2", "kernel_id": "49845771"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-dh-36bd", "kernel_id": "49845925"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-ch-10d-8fold", "kernel_id": "49846052"}, {"ref": "darraghdog/3rd-place-deberta-weights-cfg-ch-10d-8ff", "kernel_id": "49846107"}, {"ref": "darraghdog/tokenizer-deberta-spm-v4-public", "kernel_id": "49885414"}, {"ref": "darraghdog/3rd-place-lwq", "kernel_id": "49889517"}, {"ref": "aleixgim/ensemble-v1", "kernel_id": "49095104"}, {"ref": "aleixgim/lgbm-v1", "kernel_id": "49065407"}, {"ref": "aleixgim/ensemble-v3", "kernel_id": "49173341"}, {"ref": "aman1391/ridge-ttrb-writing-ensemble-finale-pt-1", "kernel_id": "49159536"}, {"ref": "mark4h/writing-processes-2nd-place-efficiency-lb-solution", "kernel_id": "49737720"}, {"ref": "ryanholbrook/pii-detection-efficiency-lb", "kernel_id": "49223622"}, {"ref": "jaideepvalani/light-automl-lgbm-22-1dcnn-5th-place-best-sub", "kernel_id": "49036019"}, {"ref": "sayedathar11/lgbm-x2-nn-fusion-v8", "kernel_id": "49074537"}, {"ref": "kononenko/writing-quality-lb-finalization", "kernel_id": "49399061"}, {"ref": "alexcei/embeddings-of-long-sequences-series-events", "kernel_id": "49206632"}, {"ref": "lucaskna/lwptwq-fe-train-efficiency-1st-place", "kernel_id": "49786561"}, {"ref": "lucaskna/lwptwq-model-efficiency-1st-place", "kernel_id": "49786877"}, {"ref": "lucaskna/lwptwq-test-inference-efficiency-1st-place", "kernel_id": "49787220"}, {"ref": "leonshangguan/gpu-all-fe-inference", "kernel_id": "49181009"}, {"ref": "leonshangguan/all-fe-of-nn-models-training-pipeline-saved-fe", "kernel_id": "49182033"}, {"ref": "leonshangguan/all-fe-of-tree-models-training-pipeline-saved-fe", "kernel_id": "49182080"}, {"ref": "leonshangguan/training-deberta-based-regressor-as-fe-extractor", "kernel_id": "49182382"}, {"ref": "leonshangguan/gpu-all-in-training-with-context-fe-generation", "kernel_id": "49180863"}, {"ref": "tomooinubushi/lwprq-exp-178", "kernel_id": "49088292"}, {"ref": "tomooinubushi/1st-place-solution-training-and-inference-code", "kernel_id": "49181081"}, {"ref": "hideyukizushi/wq-train-fev122414-inf-v8", "kernel_id": "49151268"}, {"ref": "martinbielik/3rd-place-solution-efficiency-training", "kernel_id": "49998202"}, {"ref": "martinbielik/3rd-place-solution-efficiency-inference", "kernel_id": "49949538"}, {"ref": "junruiwang/82nd-place-solution-private-lb-0-5682", "kernel_id": "49140730"}, {"ref": "lenferdetroud/lgbm-nn-fusion-xgb-ensemble", "kernel_id": "49121309"}, {"ref": "miyaryo/typing-train-skf-myself-fin", "kernel_id": "49039441"}, {"ref": "miyaryo/typing-train-skf-lots-fin", "kernel_id": "49042690"}, {"ref": "miyaryo/typing-train-skf-few-fin", "kernel_id": "49042816"}, {"ref": "miyaryo/typing-train-kf-myself-fin", "kernel_id": "49043141"}, {"ref": "miyaryo/typing-train-kf-lots-fin", "kernel_id": "49043206"}, {"ref": "miyaryo/typing-train-kf-few-fin", "kernel_id": "49042884"}, {"ref": "miyaryo/35th-place-solution-typing-sub-fin", "kernel_id": "49382281"}, {"ref": "olegshpagin/0-600-writing-quality", "kernel_id": "49639097"}, {"ref": "olegshpagin/0-628-writing-quality", "kernel_id": "49639190"}, {"ref": "olegshpagin/0-588-writing-quality", "kernel_id": "49638688"}, {"ref": "ihebch/linking-38th-place-solution-3rd-public", "kernel_id": "49173438"}, {"ref": "yunsuxiaozi/writing-quality-top25-study-notebook-score-0-5651", "kernel_id": "49243181"}, {"ref": "yunsuxiaozi/writing-quality-top-1-study-notebook", "kernel_id": "49338968"}, {"ref": "andreynesterov/writing-quality-extra-features", "kernel_id": "49102767"}, {"ref": "fabienpv/elasticnet-lightgbm-xgboost-catboost", "kernel_id": "49177730"}, {"ref": "yunsuxiaozi/basic-use-of-polars", "kernel_id": "50727242"}, {"ref": "minlongchenix/lgbm-x2-nn-xgb-lgbm", "kernel_id": "50571318"}, {"ref": "minlongchenix/lgbm-xgb-cat-ensemble-blend", "kernel_id": "50523791"}, {"ref": "diogodsa/1st-place-solution-training-and-inference-code", "kernel_id": "52363916"}, {"ref": "arturfejklowicz/notebookf5d18a2178", "kernel_id": "55049962"}, {"ref": "zhougaowei/notebook2d26287464", "kernel_id": "58019660"}, {"ref": "dnielalexandrov/essay-prediction", "kernel_id": "60529788"}, {"ref": "chenglynyi/keystroke-machine-pipeline", "kernel_id": "80860073"}, {"ref": "jktmal/notebookeb947d89f1", "kernel_id": "85758608"}, {"ref": "franciscojosandrades/gradient-boosting", "kernel_id": "88076204"}, {"ref": "fakharayub/notebook5733cf64dd", "kernel_id": "89931385"}, {"ref": "fakharayub/notebook964b7e88f4", "kernel_id": "90215515"}, {"ref": "arjunkumaresh/notebook63984f740b", "kernel_id": "93547991"}, {"ref": "dhairyapatel57/sc4000codewritingquality", "kernel_id": "94781819"}, {"ref": "buigianhatminh/silver-bullet-models-training-and-trying", "kernel_id": "95603890"}, {"ref": "truongdanggiahuy/gpu-all-in-training-with-context-fe-generation", "kernel_id": "97436693"}, {"ref": "truongdanggiahuy/all-fe-of-tree-models-training-pipeline-saved-fe", "kernel_id": "97446028"}, {"ref": "truongdanggiahuy/all-fe-of-nn-models-training-pipeline-saved-fe", "kernel_id": "97453149"}, {"ref": "truongdanggiahuy/gpu-all-fe-inference", "kernel_id": "97503718"}, {"ref": "codexhs/essay-reconstruction-basic-temporal-fe", "kernel_id": "97059986"}, {"ref": "josephng429/notebook26391e6f0f", "kernel_id": "98836695"}, {"ref": "nitikaborkar/sb-classifier-xbg-ensemle", "kernel_id": "98209096"}, {"ref": "tohjunsheng/notebookd63520f93d", "kernel_id": "98769360"}, {"ref": "aravbehl/notebook5840aaad33", "kernel_id": "99018921"}, {"ref": "tohjunsheng/notebookd906d264e9", "kernel_id": "99871519"}, {"ref": "nathlo/notebook0aa2df26c6", "kernel_id": "99421441"}, {"ref": "tohjunsheng/notebook1f66b953aa", "kernel_id": "100117614"}, {"ref": "pratham0520/kaggle-4-model-ensemble", "kernel_id": "100117315"}, {"ref": "rafabenderz/notebook7c8d743912", "kernel_id": "101320299"}, {"ref": "wurixin/submission-template-rwu006-v2", "kernel_id": "114296251"}, {"ref": "wurixin/lightautoml-dep-rwu006", "kernel_id": "114116559"}, {"ref": "sherlocked999/baseline1", "kernel_id": "114675479"}, {"ref": "tangruixuan/notebookd8b9a0f4b1", "kernel_id": "114565767"}, {"ref": "phyosandarwin/final-notebook-ml-project", "kernel_id": "115903885"}, {"ref": "sherlocked999/baseline2-more-features", "kernel_id": "115405831"}, {"ref": "sherlocked999/catboost-predict", "kernel_id": "115728973"}, {"ref": "sherlocked999/predict-lgbm-xgb-catboost-ensembling", "kernel_id": "115734493"}, {"ref": "sherlocked999/predict-lgbm-xgb-ensembling", "kernel_id": "115733007"}, {"ref": "bobksl/sc4000-v4", "kernel_id": "115795534"}, {"ref": "bobksl/sc4000-tuned", "kernel_id": "115697029"}, {"ref": "bobksl/sc4000-lgbm-only", "kernel_id": "115509400"}, {"ref": "bobksl/sc4000-xgboostonly", "kernel_id": "115506867"}, {"ref": "yook40/tuned", "kernel_id": "115436693"}, {"ref": "angjinhedarrel/notebook1a6785df0d", "kernel_id": "115324391"}, {"ref": "zahramollaey/j-transformer", "kernel_id": "121555664"}, {"ref": "zahramollaey/linking-writing-process", "kernel_id": "121570600"}]}
{"competition_id": "59313", "kernels": []}
{"competition_id": "59316", "kernels": []}
{"competition_id": "59317", "kernels": []}
{"competition_id": "59352", "kernels": []}
{"competition_id": "59357", "kernels": []}
{"competition_id": "59358", "kernels": []}
{"competition_id": "59359", "kernels": []}
{"competition_id": "59363", "kernels": [{"ref": "herbwang/tutorial-notebook", "kernel_id": "42266795"}]}
{"competition_id": "59431", "kernels": []}
{"competition_id": "59466", "kernels": [{"ref": "matasferrn/catboost-wage-prediction", "kernel_id": "42394783"}, {"ref": "seahchenkhoon/wage-prediction", "kernel_id": "42371781"}]}
{"competition_id": "59471", "kernels": [{"ref": "aditgupta03/ml-wars", "kernel_id": "42465306"}]}
{"competition_id": "59472", "kernels": [{"ref": "singha07/covid19-scrn-target-prediction", "kernel_id": "135040556"}]}
{"competition_id": "59543", "kernels": [{"ref": "mehdijamaseb/example", "kernel_id": "42629507"}]}
{"competition_id": "59575", "kernels": [{"ref": "sohier/basic-whoosh-search-demo", "kernel_id": "52457493"}, {"ref": "devinanzelmo/uspto-submission-debug", "kernel_id": "55515261"}, {"ref": "devinanzelmo/uspto-create-validation-index", "kernel_id": "55583440"}, {"ref": "devinanzelmo/uspto-train-index-problem", "kernel_id": "55552888"}, {"ref": "seshurajup/uspto-patent-metadata-eda", "kernel_id": "55471723"}, {"ref": "seshurajup/uspto-whoosh-utils-eda", "kernel_id": "55587503"}, {"ref": "seshurajup/uspto-patent-bigquery", "kernel_id": "55595489"}, {"ref": "seshurajup/lb-0-11-uspto-single-cpc-query", "kernel_id": "55593515"}, {"ref": "seshurajup/uspto-cpc-boolean-verify", "kernel_id": "55640830"}, {"ref": "jmerle/uspto-explainable-ai", "kernel_id": "55848841"}, {"ref": "jazivxt/needle-or-elephant-in-haystack", "kernel_id": "55664213"}, {"ref": "mpwolke/whoosh-python-library-patent-professionals-uspto", "kernel_id": "55394331"}, {"ref": "mpwolke/uspto-finding-patents-whoosh-non-whoosh-ways", "kernel_id": "55574717"}, {"ref": "mpwolke/llama3-boolean-us-patent-queries", "kernel_id": "55651539"}, {"ref": "mpwolke/gemma-uspto-boolean-queries", "kernel_id": "55739358"}, {"ref": "mpwolke/mistral-bool-en-uspto-search", "kernel_id": "55839237"}, {"ref": "mbmmurad/understanding-the-competition", "kernel_id": "55512014"}, {"ref": "sash2104/debug-uspto-discussion-498283", "kernel_id": "55653343"}, {"ref": "sash2104/debug-ver-2-uspto-discussion-498283", "kernel_id": "55892782"}, {"ref": "nvnikhil0001/uspto-starter-notebook", "kernel_id": "55958937"}, {"ref": "chumajin/uspto-check-patent-data", "kernel_id": "55489693"}, {"ref": "dilliontan/uspto-train-data-loading-and-verification", "kernel_id": "55802496"}, {"ref": "vladimirmijatovic/uspto-eda-explainable-ai-for-patent-experts", "kernel_id": "55706530"}, {"ref": "satyaprakashshukl/ai-for-patent-professionals-eda", "kernel_id": "55816923"}, {"ref": "valentinwerner/save-some-loading-time-tr-idx-subset-of-neighbors", "kernel_id": "55632589"}, {"ref": "shadesh/uspto-explainable-ai-data-loading-and-exploration", "kernel_id": "55533678"}, {"ref": "aerdem4/uspto-llm-solution-prompt-eng", "kernel_id": "56613538"}, {"ref": "jmerle/lb-0-11-uspto-single-cpc-query", "kernel_id": "56188200"}, {"ref": "dilliontan/uspto-metadata-raw-data-check", "kernel_id": "56236828"}, {"ref": "shadesh/uspto-explainable-ai-for-mistral", "kernel_id": "56940284"}, {"ref": "seshurajup/uspto-whoosh-2-7-5-offline-use", "kernel_id": "57191755"}, {"ref": "dilliontan/uspto-optimized-submission", "kernel_id": "57033749"}, {"ref": "simonagradinaru/uspto-simple-query-15-cpc-codes", "kernel_id": "58040491"}, {"ref": "awsaf49/uspto-kerasnlp-starter", "kernel_id": "58449693"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-0", "kernel_id": "58902115"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-3", "kernel_id": "58909935"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-4", "kernel_id": "58909946"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-5", "kernel_id": "58909955"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-6", "kernel_id": "58909970"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-7", "kernel_id": "58909984"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-8", "kernel_id": "58909995"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-9", "kernel_id": "58910006"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-1", "kernel_id": "58908381"}, {"ref": "ryotayoshinobu/uspto-tokenized-index-2", "kernel_id": "58908476"}, {"ref": "ryotayoshinobu/uspto-gen-wheel", "kernel_id": "58707355"}, {"ref": "tubotubo/uspto-simulated-annealing-baseline", "kernel_id": "58452702"}, {"ref": "yitianlai/patent-searches-with-boolean-logic", "kernel_id": "58867545"}, {"ref": "santiagomota/pred701-uspto-eda", "kernel_id": "59743873"}, {"ref": "ryotayoshinobu/uspto-debug", "kernel_id": "59082458"}, {"ref": "artorn45/uspto1", "kernel_id": "59038493"}, {"ref": "whatthez/uspto-kerasnlp-starter", "kernel_id": "59142026"}, {"ref": "gunxroswar/patent-test-analyze", "kernel_id": "59565851"}, {"ref": "jmerle/uspto-explainable-ai-ensemble", "kernel_id": "60352815"}, {"ref": "tanakar/precompute-cpc-title-desc-max-10000-word-to-int", "kernel_id": "60698557"}, {"ref": "ryotayoshinobu/uspto-complete-index-0", "kernel_id": "60791759"}, {"ref": "ryotayoshinobu/uspto-complete-index-1", "kernel_id": "60792223"}, {"ref": "ryotayoshinobu/uspto-complete-index-2", "kernel_id": "60792241"}, {"ref": "ryotayoshinobu/uspto-complete-index-3", "kernel_id": "60792242"}, {"ref": "ryotayoshinobu/uspto-complete-index-4", "kernel_id": "60792244"}, {"ref": "ryotayoshinobu/uspto-complete-index-5", "kernel_id": "60792246"}, {"ref": "ryotayoshinobu/uspto-complete-index-6", "kernel_id": "60792247"}, {"ref": "ryotayoshinobu/uspto-complete-index-7", "kernel_id": "60792250"}, {"ref": "ryotayoshinobu/uspto-complete-index-8", "kernel_id": "60792944"}, {"ref": "ryotayoshinobu/uspto-complete-index-9", "kernel_id": "60792945"}, {"ref": "ryotayoshinobu/uspto-complete-index-10", "kernel_id": "60792946"}, {"ref": "ryotayoshinobu/uspto-complete-index-11", "kernel_id": "60792948"}, {"ref": "ryotayoshinobu/uspto-complete-index-12", "kernel_id": "60792951"}, {"ref": "ryotayoshinobu/uspto-complete-index-13", "kernel_id": "60792955"}, {"ref": "ryotayoshinobu/uspto-complete-index-14", "kernel_id": "60792960"}, {"ref": "andrey67/uspto-annealing-lb-0-31", "kernel_id": "60415807"}, {"ref": "qurusx/memory-issue", "kernel_id": "60292531"}, {"ref": "sega1031/uspto-global-counters-limit30", "kernel_id": "61131350"}, {"ref": "sega1031/uspto-global-title-word-counter", "kernel_id": "61052004"}, {"ref": "tanakar/precompute-claim-set-max-1000-add-claims", "kernel_id": "61654066"}, {"ref": "tanakar/create-valid-index-add-claim", "kernel_id": "61662562"}, {"ref": "tanakar/precompute-claim-set-max-1000", "kernel_id": "61652013"}, {"ref": "amazingkenneth/uspto-dependencies", "kernel_id": "61863480"}, {"ref": "qurusx/description-fast-extract", "kernel_id": "61907496"}, {"ref": "qurusx/1975up1994", "kernel_id": "61902415"}, {"ref": "qurusx/1995up2004", "kernel_id": "61902444"}, {"ref": "qurusx/2005up2009", "kernel_id": "61902472"}, {"ref": "qurusx/2010up2013", "kernel_id": "61902489"}, {"ref": "qurusx/2014up2016", "kernel_id": "61902521"}, {"ref": "qurusx/2020up2021", "kernel_id": "61906343"}, {"ref": "qurusx/2022up2022", "kernel_id": "61906356"}, {"ref": "qurusx/2023up2023", "kernel_id": "61906361"}, {"ref": "qurusx/2017up2019", "kernel_id": "61905360"}, {"ref": "qurusx/1700up1929", "kernel_id": "61892144"}, {"ref": "qurusx/1930up1974", "kernel_id": "61892291"}, {"ref": "qurusx/hidden-patent", "kernel_id": "61693214"}, {"ref": "himangshushekhar/himz-kerasnlp-starter-186a87", "kernel_id": "61228390"}, {"ref": "sheepai42/uspto-bert-finetuning", "kernel_id": "61539841"}, {"ref": "ianyao4134/uspto-v2", "kernel_id": "61762206"}, {"ref": "boredmgr/claim-sampling", "kernel_id": "62374257"}, {"ref": "theoviel/uspto-magic-with-cudf-pandas-lb-0-8-in-1min", "kernel_id": "62688840"}, {"ref": "tinatuna/uspto-t5-based-doc2query-titles", "kernel_id": "62457592"}, {"ref": "tinatuna/uspto-using-lpproblem", "kernel_id": "62601569"}, {"ref": "sash2104/uspto-6th-place-solution", "kernel_id": "62814134"}, {"ref": "tanakar/preprocess-claim-max-100000", "kernel_id": "62338931"}, {"ref": "tanakar/c-cpc-title-abst-claim-inf", "kernel_id": "62576446"}, {"ref": "tanakar/cpc-title-abst-claim-inf-desc-100000", "kernel_id": "62566536"}, {"ref": "tanakar/merge-description-chunk-title-all", "kernel_id": "62563372"}, {"ref": "tanakar/precompute-cpc-title-abst-claim-max-inf", "kernel_id": "62559259"}, {"ref": "tanakar/precompute-cpc-title-desc-max-inf", "kernel_id": "62486067"}, {"ref": "tanakar/preprocess-description-tpu-chunk4-2-2-max-100000", "kernel_id": "62471841"}, {"ref": "tanakar/preprocess-description-tpu-chunk3-max-100000", "kernel_id": "62469489"}, {"ref": "tanakar/preprocess-description-tpu-chunk2-max-100000", "kernel_id": "62469894"}, {"ref": "tanakar/preprocess-description-tpu-chunk1-max-100000", "kernel_id": "62470101"}, {"ref": "tanakar/preprocess-description-tpu-chunk4-1-2-max-100000", "kernel_id": "62470139"}, {"ref": "tanakar/preprocess-description-tpu-year-1975-max-100000", "kernel_id": "62472579"}, {"ref": "tanakar/sa-cpc-title-abst-clm-desc-10-5-allpub-cupy-sub", "kernel_id": "62700626"}, {"ref": "tanakar/make-train-index", "kernel_id": "62788569"}, {"ref": "raki21/simple-or-chain-sqlite-magic-free", "kernel_id": "62747049"}, {"ref": "ryotayoshinobu/uspto-4th-place-solution-w-magic-lb0-98", "kernel_id": "62894116"}, {"ref": "ryotayoshinobu/uspto-4th-place-solution-w-o-magic-lb0-91", "kernel_id": "62894348"}, {"ref": "shigeria/uspto-final-sub", "kernel_id": "62725988"}, {"ref": "cnumber/uspto-bestsubmission", "kernel_id": "62863801"}, {"ref": "huanligong/uspto-genetic-algorithm-for-keyword-selection", "kernel_id": "62866364"}, {"ref": "keakohv/uspto-patents-keywords-adjacency-approach", "kernel_id": "62735000"}, {"ref": "praveen1910/uspto-data-evaluation-and-visualisation", "kernel_id": "62495663"}, {"ref": "iiyamaiiyama/uspto-5th-place-submission-without-magic", "kernel_id": "63203044"}, {"ref": "iiyamaiiyama/uspto-5th-place-submission-with-magic", "kernel_id": "63201838"}, {"ref": "lukahslu/upsto", "kernel_id": "69526089"}, {"ref": "trivenikotgule/appraoch-1", "kernel_id": "70869663"}]}
{"competition_id": "59576", "kernels": [{"ref": "wesselkooy/quickstart", "kernel_id": "42427069"}]}
{"competition_id": "59606", "kernels": [{"ref": "atthaariq/zipperlatihan1", "kernel_id": "42432256"}]}
{"competition_id": "59607", "kernels": [{"ref": "tracyporter/walmart-rfr-mean", "kernel_id": "42518671"}, {"ref": "tracyporter/walmart-yearly-increment", "kernel_id": "42513111"}, {"ref": "tracyporter/walmart-tf-ann-lr-rfr", "kernel_id": "42498397"}, {"ref": "witoldnowogrski/walmart-sales-prediction", "kernel_id": "42503135"}, {"ref": "mikolajhojda/walmart-sales-prophet-gradientboostingregressor", "kernel_id": "42529225"}, {"ref": "loikloikl/auto-sarima", "kernel_id": "42604551"}, {"ref": "taisiyakopytova/hybrid-model-with-feature-selection", "kernel_id": "50900846"}, {"ref": "abigiyaayele/walmart-sales-prediction", "kernel_id": "62146745"}, {"ref": "danielandarge/walmart-prediction-hyperparameter-tune", "kernel_id": "62110814"}]}
{"competition_id": "59612", "kernels": [{"ref": "mpwolke/xt122-dl-vgg16", "kernel_id": "42506354"}, {"ref": "mpwolke/xt122-dl-face-recognition-cnn", "kernel_id": "42642435"}, {"ref": "dmitryellison/xt122-dl-facerec-encoder-rf-93-accuracy", "kernel_id": "42550765"}, {"ref": "dmitryellison/xt122-dl-resnet-encoder-rf-96-accuracy", "kernel_id": "42578286"}, {"ref": "yeehua/dl-midterm", "kernel_id": "42480641"}, {"ref": "satyaprakashshukl/neural-network-face-recognition", "kernel_id": "42611148"}]}
{"competition_id": "59614", "kernels": []}
{"competition_id": "59657", "kernels": []}
{"competition_id": "59683", "kernels": []}
{"competition_id": "59699", "kernels": []}
{"competition_id": "59737", "kernels": []}
{"competition_id": "59743", "kernels": [{"ref": "thirannaleendra/digit-recognizer-thiran-naleendra", "kernel_id": "77673709"}]}
{"competition_id": "59753", "kernels": [{"ref": "adhammohamed7700/notebookf53d709ee3", "kernel_id": "42727280"}, {"ref": "youssefkkhaled/notebookac4f43fdc5", "kernel_id": "42563514"}, {"ref": "ziadaymantesla/fruits-classification", "kernel_id": "42694407"}, {"ref": "aliabdallah7/fruit-images-for-object-detection", "kernel_id": "42635436"}, {"ref": "ahmedesmail1/object-detection", "kernel_id": "42672953"}, {"ref": "ayagamalmohamed/notebook141e1fad2c", "kernel_id": "42693434"}, {"ref": "rewana/fruit", "kernel_id": "42673703"}, {"ref": "ismaeelsherif/assign-4", "kernel_id": "42703478"}]}
{"competition_id": "59758", "kernels": [{"ref": "crustacean/xgboost-hyper-parameter-tuning-optuna-gridworld", "kernel_id": "42936424"}, {"ref": "crustacean/xgboost-baseline-gridworld-sales", "kernel_id": "42936063"}, {"ref": "italosimoes/predicting-sales-quantity-in-our-dynamic-gridworld", "kernel_id": "42703356"}, {"ref": "priompal01/predicting-sales-quantity-in-dynamic-gridworld", "kernel_id": "42969607"}, {"ref": "tracyporter/store-sales-extra-trees", "kernel_id": "42552506"}, {"ref": "tracyporter/store-sales-tf", "kernel_id": "42567904"}, {"ref": "sergeyyakovlev1312/quantity-prediction-sklearn", "kernel_id": "42660119"}, {"ref": "matasferrn/predicting-sales", "kernel_id": "42526333"}, {"ref": "matasferrn/predicting-sales-exploring-the-gridworld", "kernel_id": "42693076"}, {"ref": "matasferrn/predicting-sales-best-results-in-few-lines", "kernel_id": "42634076"}, {"ref": "alvinleenh/211-dynamic-gridworld-eda-catboost-prediction", "kernel_id": "42556555"}, {"ref": "alvinleenh/160-dynamic-gridworld-1st-solution", "kernel_id": "42558424"}, {"ref": "rizal1015/predicting-sales-quantity", "kernel_id": "42757463"}, {"ref": "crustacean/2nd-place-catboost-simple-feature-engineering", "kernel_id": "43740871"}, {"ref": "jatinsingh00739/score-223-1-with-catbost", "kernel_id": "43868242"}, {"ref": "tikhonradk/dynamic-grid-world", "kernel_id": "43567745"}]}
{"competition_id": "59768", "kernels": []}
{"competition_id": "59787", "kernels": [{"ref": "ydj18506677892/notebookfe0e835450", "kernel_id": "48585163"}]}
{"competition_id": "59839", "kernels": []}
{"competition_id": "59840", "kernels": [{"ref": "jasmer57/paper-prophet", "kernel_id": "43942385"}, {"ref": "srujannagamally/multi-label-nlp-clasification", "kernel_id": "44127832"}, {"ref": "vedantdinkar/cynaptics-220001078", "kernel_id": "44785852"}, {"ref": "anushkavarshney/notebook0d6f922a96", "kernel_id": "44578600"}]}
{"competition_id": "59850", "kernels": [{"ref": "crustacean/xgboost-baseline", "kernel_id": "42853160"}, {"ref": "crustacean/xgboost-hyper-parameter-tuning-optuna", "kernel_id": "42934743"}, {"ref": "kamrantanwari/oemc-get-your-first-submission-in-1-minute", "kernel_id": "42742302"}, {"ref": "leandroparente/oemc-hackathon-2023", "kernel_id": "42689180"}, {"ref": "kriggs/oemc-tf-baseline", "kernel_id": "43064709"}, {"ref": "kriggs/5th-place-solution", "kernel_id": "43267199"}]}
{"competition_id": "59854", "kernels": []}
{"competition_id": "59859", "kernels": []}
{"competition_id": "59861", "kernels": []}
{"competition_id": "59865", "kernels": [{"ref": "alpacads/vpn-proxy-demo-notebook", "kernel_id": "43854169"}, {"ref": "alpacads/demo-graph-data", "kernel_id": "44050625"}, {"ref": "minoro/predicting-vpn-proxy-ip-address", "kernel_id": "49110490"}, {"ref": "pietromaldini1/3rd-place-solution", "kernel_id": "49098514"}, {"ref": "nicholastwallace/crowdsec-vpn-classification-2nd-place", "kernel_id": "49839194"}, {"ref": "npapaya/notebook09c26814e3", "kernel_id": "67331622"}]}
{"competition_id": "59907", "kernels": []}
{"competition_id": "59910", "kernels": []}
{"competition_id": "59912", "kernels": []}
{"competition_id": "59919", "kernels": []}
{"competition_id": "59921", "kernels": [{"ref": "limguentaek/p3-skeleton-code", "kernel_id": "42633177"}]}
{"competition_id": "59924", "kernels": [{"ref": "reet1992/nasa-temperature-dataset", "kernel_id": "42681424"}, {"ref": "ganeshvaidyanathank/m-gdsc-ganesh", "kernel_id": "42697421"}, {"ref": "ekrishnaprasad/nasa-temperature", "kernel_id": "42680126"}, {"ref": "spurtibhat/spurti-bhat", "kernel_id": "42680355"}]}
{"competition_id": "59931", "kernels": [{"ref": "limguentaek/p2-skeleton-code", "kernel_id": "42643985"}]}
{"competition_id": "59989", "kernels": []}
{"competition_id": "59993", "kernels": [{"ref": "paddykb/oemc-hackathon-flaml-fapar-logistic-scaling", "kernel_id": "42832068"}, {"ref": "crustacean/xgboost-baseline", "kernel_id": "42853160"}, {"ref": "crustacean/eda-yearly-fapar-patterns-per-station", "kernel_id": "42891721"}, {"ref": "crustacean/xgboost-baseline-global-fapar-modeling", "kernel_id": "42932370"}, {"ref": "crustacean/xgboost-hyper-parameter-tuning-fapar-optuna", "kernel_id": "42932685"}, {"ref": "thomasdubail/oemc-2023-fapar", "kernel_id": "42745245"}, {"ref": "kamrantanwari/oemc-baseline-tf-feature-engineering-eda", "kernel_id": "42719535"}, {"ref": "leandroparente/oemc-hackathon-2023", "kernel_id": "42689180"}, {"ref": "pemyslbal/oemc-global-fapar-best-score-0-05632", "kernel_id": "43061794"}]}
{"competition_id": "59997", "kernels": [{"ref": "eyadamin1233/hackathon-notebook", "kernel_id": "42667941"}, {"ref": "eyadamin1233/hackathon", "kernel_id": "42655655"}, {"ref": "eslam101ahmed/hackathon-notebook", "kernel_id": "42655670"}, {"ref": "omarismailmohammed/hackathon", "kernel_id": "42655641"}, {"ref": "imuhammadayman/mr-and-master1", "kernel_id": "42668855"}, {"ref": "anasmations/ml-mesh-la3eb-3", "kernel_id": "42670661"}, {"ref": "nadeenamgad/notebook13a2fd57b0", "kernel_id": "42669775"}, {"ref": "mamado161/finetuning-image-model", "kernel_id": "42667641"}, {"ref": "mamado161/neural-nexus", "kernel_id": "42705447"}, {"ref": "mohamedezzai/al-afriky", "kernel_id": "42663357"}, {"ref": "islamnabil/efficent-net", "kernel_id": "42670557"}, {"ref": "khaledashraf217/notebooke89875f7e6", "kernel_id": "42670689"}, {"ref": "abdelrahmanrahal/breast-tumor-classification-using-cnn", "kernel_id": "42658610"}]}
{"competition_id": "60005", "kernels": []}
{"competition_id": "60007", "kernels": [{"ref": "caiusk/template-hw1", "kernel_id": "43038400"}]}
{"competition_id": "60047", "kernels": []}
{"competition_id": "60051", "kernels": []}
{"competition_id": "60052", "kernels": []}
{"competition_id": "60057", "kernels": []}
{"competition_id": "60060", "kernels": []}
{"competition_id": "60073", "kernels": []}
{"competition_id": "60074", "kernels": []}
{"competition_id": "60095", "kernels": [{"ref": "n3n77i/fork-of-gps-23", "kernel_id": "43274878"}, {"ref": "timeverett/getting-started-with-rtklib-2023", "kernel_id": "43383943"}, {"ref": "warcoder/baseline-submission", "kernel_id": "43220534"}, {"ref": "muzamilaslam/smartphone-decimeter-by-muzamil", "kernel_id": "43396052"}, {"ref": "mr0106/google-smartphone", "kernel_id": "44190194"}, {"ref": "mpwolke/tracking-with-my-gps", "kernel_id": "45696964"}, {"ref": "vaish1311/solution-using-vincenty-distance", "kernel_id": "48565249"}, {"ref": "ilikedeeplearning/acm-sample-notebook", "kernel_id": "49857748"}, {"ref": "muhannadmansour/gsdc23-kalman-filter-wls", "kernel_id": "49933800"}, {"ref": "ryanfernandezz/removing-trash-data", "kernel_id": "49860240"}, {"ref": "stpeteishii/smartphone-decimeter-device-gnss-imu-data", "kernel_id": "51214104"}, {"ref": "stpeteishii/smartphone-decimeter-ground-truth-data", "kernel_id": "51208044"}, {"ref": "stpeteishii/smartphone-decimeter-activity-locations", "kernel_id": "51428556"}, {"ref": "leonliu360/gnss-smartphone-positioning-transformer", "kernel_id": "51249001"}, {"ref": "shengliu2023/should-distance-of-phones-in-same-trip-keep-same", "kernel_id": "51012909"}, {"ref": "vanshitasharma/decimeter-challenge-sample-submission-1", "kernel_id": "53657954"}, {"ref": "vanshitasharma/decimeter-challenge-gnss-processing", "kernel_id": "53406974"}, {"ref": "shadesh/google-s-decimeter-challenge-2023-precision-on-sm", "kernel_id": "53715564"}, {"ref": "shadesh/gnss-data-processing-and-position-estimation-pipel", "kernel_id": "53514458"}, {"ref": "maiphm17/19-4-test", "kernel_id": "53535401"}, {"ref": "jamessuryaputra/artful-globetrotter", "kernel_id": "54847379"}, {"ref": "havanduc/test-wls", "kernel_id": "54722133"}, {"ref": "aemado/imu-exploratory-analysis", "kernel_id": "55918150"}, {"ref": "nileshiq/google-s-smartphone-navigation-showdown", "kernel_id": "56900856"}, {"ref": "pengjieying/sample-notebook", "kernel_id": "80930330"}, {"ref": "pengjieying/kalman-xgboost", "kernel_id": "80961589"}, {"ref": "pengjieying/gsdc23-kalman-filter-spbu", "kernel_id": "83830435"}, {"ref": "pengjieying/kf-lstm", "kernel_id": "83801261"}, {"ref": "pengjieying/gsdc23-kalman-filter-wls", "kernel_id": "83913063"}, {"ref": "pengjieying/kalman-filter-lstm", "kernel_id": "84048073"}, {"ref": "prashantnautiyal/kalmanfilter", "kernel_id": "89926443"}, {"ref": "prashantnautiyal/gnss-runnable-evaluation", "kernel_id": "97954814"}, {"ref": "purandeswarreddy/finalgnss", "kernel_id": "107679239"}, {"ref": "spamtus/newwwww", "kernel_id": "121860088"}, {"ref": "qinweirz/robust-smartphone-spp-via-dual-frequency-integrity", "kernel_id": "122135132"}, {"ref": "spamtus/newmultipath-detection", "kernel_id": "122153793"}, {"ref": "spamtus/notebook03b5b16823", "kernel_id": "126394375"}]}
{"competition_id": "60119", "kernels": [{"ref": "chunlo/data-science-in-r", "kernel_id": "42730427"}, {"ref": "chunlo/data-science-in-python", "kernel_id": "42729896"}]}
{"competition_id": "60121", "kernels": [{"ref": "wlifferth/part-1-python-crash-course", "kernel_id": "39505173"}, {"ref": "wlifferth/part-1-5-just-submitting", "kernel_id": "42804088"}, {"ref": "wlifferth/part-5-cats-color-convolutions", "kernel_id": "42707802"}, {"ref": "wlifferth/part-3-resizing-our-images", "kernel_id": "42708679"}, {"ref": "wlifferth/part-2-a-simple-model-based-on-speed", "kernel_id": "42738248"}, {"ref": "wlifferth/part-4-image-regression-with-keras", "kernel_id": "42737228"}, {"ref": "wlifferth/part-6-non-sequential-models", "kernel_id": "42739811"}, {"ref": "mpwolke/efficientnet-tf-hub-attempt", "kernel_id": "42835278"}, {"ref": "mpwolke/catatonic-kitten", "kernel_id": "42828787"}, {"ref": "warcoder/efficientnet-tf-hub-attempt", "kernel_id": "42900073"}, {"ref": "jocelyndumlao/affordable-lifelike-fake-cat-just-10", "kernel_id": "42846673"}, {"ref": "charlieblevin/dense-neural-network-with-large-hidden-layer", "kernel_id": "42998344"}, {"ref": "asif00/strange-world-of-image-regression-functional-api", "kernel_id": "42909918"}, {"ref": "kingcee/nftprediction-finalsubmission", "kernel_id": "42925485"}, {"ref": "kingcee/part-3-resizing-our-images", "kernel_id": "42933755"}, {"ref": "priyanshuagwl/dense-neural-network-with-large-hidden-layer", "kernel_id": "43008976"}, {"ref": "wlifferth/ghw-python-crash-course", "kernel_id": "44848711"}]}
{"competition_id": "60128", "kernels": []}
{"competition_id": "60150", "kernels": [{"ref": "chaitanyagiri/neural-networks", "kernel_id": "42799627"}, {"ref": "vijwal/neural-networks", "kernel_id": "42817241"}, {"ref": "harshitkmr/sample-notebook-nsutai-starter-3", "kernel_id": "42791805"}, {"ref": "pjmathematician/sample-notebook-nsutai-starter-2", "kernel_id": "42777000"}, {"ref": "pjmathematician/sample-notebook-nsutai-starter", "kernel_id": "42751014"}, {"ref": "pjmathematician/nsutai-contributor-hints", "kernel_id": "42978097"}, {"ref": "siddhvr/ensembling-models-baseline", "kernel_id": "42907198"}, {"ref": "siddhvr/tuning-hyperparameters-with-optuna-baseline", "kernel_id": "42923851"}, {"ref": "anshtanwar/pycaret-tutorial", "kernel_id": "42806413"}, {"ref": "snaagar0001/neural-networks", "kernel_id": "42829464"}, {"ref": "aryanbaibaswata/sample-notebook-nsutai-starter-2", "kernel_id": "42795285"}, {"ref": "godwinkrim/sample-notebook-nsutai-starter", "kernel_id": "42759938"}, {"ref": "harshitgupta2005/tuning-hyperparameters-with-optuna-baseline-v2", "kernel_id": "42995402"}, {"ref": "greatnerve/sample-notebook-nsutai-starter-2", "kernel_id": "42967944"}, {"ref": "legendary007/sample-notebook-nsutai-starter-3", "kernel_id": "42992915"}, {"ref": "pariket4092/sample-notebook-nsutai-starter", "kernel_id": "42804307"}, {"ref": "pariket4092/sample-notebook-nsutai-starter-2", "kernel_id": "42916081"}, {"ref": "pariket4092/sample-notebook-nsutai-starter-3", "kernel_id": "42985216"}, {"ref": "dyuksha/notebook20e9676c4f", "kernel_id": "42903860"}]}
{"competition_id": "60154", "kernels": []}
{"competition_id": "60156", "kernels": [{"ref": "akshatgurnani/pes1pg22ca015-v4", "kernel_id": "42812221"}, {"ref": "thejeshv/pes1pg22ca223", "kernel_id": "42822194"}]}
{"competition_id": "60171", "kernels": []}
{"competition_id": "60175", "kernels": []}
{"competition_id": "60180", "kernels": [{"ref": "pmeyer98/hw2-q2", "kernel_id": "47951500"}]}
{"competition_id": "60182", "kernels": [{"ref": "tywangty/eda-earthquake-prediction", "kernel_id": "44667229"}, {"ref": "tywangty/rf-lr-earthquake-prediction", "kernel_id": "45695721"}, {"ref": "bilgejinnen/eda-earthquake-prediction", "kernel_id": "65039335"}, {"ref": "bilgejinnen/coding4earthquakeprediction", "kernel_id": "72321101"}, {"ref": "songyuhui0114/earthquakeprediction", "kernel_id": "103339726"}]}
{"competition_id": "60197", "kernels": []}
{"competition_id": "60204", "kernels": []}
{"competition_id": "60208", "kernels": []}
{"competition_id": "60210", "kernels": []}
{"competition_id": "60211", "kernels": []}
{"competition_id": "60229", "kernels": [{"ref": "nemanjagojkovic/simulated-disease-spread-eda", "kernel_id": "43846305"}]}
{"competition_id": "60243", "kernels": [{"ref": "mpwolke/jax-lux-jux", "kernel_id": "43464666"}, {"ref": "stonet2000/jax-environment-extended-tutorial", "kernel_id": "43441678"}, {"ref": "stonet2000/lux-ai-challenge-neurips-23-tutorial-python", "kernel_id": "43427186"}, {"ref": "ippeiogawa/jux-ppo-training-based-on-purejaxrl", "kernel_id": "43492388"}, {"ref": "billmalik/notebook08557b3217", "kernel_id": "43806583"}, {"ref": "sgoodfriend/lux2-neurips2-ppo-using-jux", "kernel_id": "46380735"}]}
{"competition_id": "60305", "kernels": [{"ref": "kalilurrahman/nfl-data-bowl-2024-plays-animation", "kernel_id": "22306863"}, {"ref": "tiagobbatalhao/datapreparation", "kernel_id": "44611372"}, {"ref": "docxian/nfl-big-data-bowl-2024-r-you-ready", "kernel_id": "44531342"}, {"ref": "nickwan/calculate-distance-between-players-football", "kernel_id": "44541019"}, {"ref": "nickwan/how-to-replicate-strain-python", "kernel_id": "44543821"}, {"ref": "tianmin/visualize-the-ball-route-on-nfl-playground", "kernel_id": "44555099"}, {"ref": "tianmin/tutorial-draw-a-nfl-field-visualization", "kernel_id": "44867572"}, {"ref": "stpeteishii/nfl-trace-players-and-events", "kernel_id": "44991795"}, {"ref": "mpwolke/nfl-2024-is-back-again", "kernel_id": "44538489"}, {"ref": "mpwolke/tackling-our-code-kagglers", "kernel_id": "44886295"}, {"ref": "metlover/animating-plays-in-julia-with-makie-jl", "kernel_id": "44985150"}, {"ref": "kalilurrahman/nfl-big-data-bowl-2024-simple-visualiza", "kernel_id": "44641232"}, {"ref": "huntingdata11/data-quality-eda-ball-vs-ball-carrier", "kernel_id": "44849820"}, {"ref": "huntingdata11/plotly-animated-and-interactive-nfl-plays", "kernel_id": "44680709"}, {"ref": "sasakitetsuya/1st-step-data-summary-and-understanding", "kernel_id": "44939517"}, {"ref": "maxwhalen/run-plays-plot-helpr", "kernel_id": "44586882"}, {"ref": "maxwhalen/defensive-alignment-identifier", "kernel_id": "44990053"}, {"ref": "jocelyndumlao/nfl-big-data-bowl-eda-player-metrics", "kernel_id": "44549465"}, {"ref": "thomasgermano/submission", "kernel_id": "44546068"}, {"ref": "maazfatimi/nfl-big-data-bowl-2024-by-maaz", "kernel_id": "44770337"}, {"ref": "nilsrosjat/analyzing-tackling-probabilities-python", "kernel_id": "44581759"}, {"ref": "pritpal2873/nfl-2024", "kernel_id": "44803793"}, {"ref": "chrisalley/nfl-big-data-notebook1", "kernel_id": "44666796"}, {"ref": "chezhira/nfl-topperformer", "kernel_id": "44912056"}, {"ref": "chezhira/nfl-topperformers", "kernel_id": "44715637"}, {"ref": "maheshhk/nfl-bowl", "kernel_id": "44661402"}, {"ref": "darshansuresh1804/nfl-big-data-bowl-2024", "kernel_id": "44710910"}, {"ref": "byronjehrke/data-bowl-notebook", "kernel_id": "44885118"}, {"ref": "mmoore23/nfl-2024-tracking-data-animations", "kernel_id": "44672171"}, {"ref": "natayakusheva/my-second-bdb-eda-how-to-win", "kernel_id": "44768824"}, {"ref": "saurabhru/nfl-big-data-bowl-2024", "kernel_id": "44667417"}, {"ref": "jefersonpazze/nfl-big-data-bowl-2024-eda", "kernel_id": "44661022"}, {"ref": "seanmgard/gridiron-tackle-superiority-gts", "kernel_id": "44581449"}, {"ref": "jennifermohr/evaluation-of-team-tackle-yards-saved-using-ml", "kernel_id": "44798473"}, {"ref": "gvyshnya/nfl-bdb-2024-detailed-eda-and-animations", "kernel_id": "45735341"}, {"ref": "eigenvalue42/yac-saved-identifying-excellence-in-tackling", "kernel_id": "45144120"}, {"ref": "gabe2002/nfl-2024", "kernel_id": "45277965"}, {"ref": "tianmin/heatmap-of-nfl-position-with-tracking-data", "kernel_id": "45131987"}, {"ref": "stpeteishii/nfl-selected-scene-animaion", "kernel_id": "45200884"}, {"ref": "debashishpaul/nfl-big-data-paul-solution", "kernel_id": "45575237"}, {"ref": "zlindsey/nflbdb24-does-tackling-stop-the-runner", "kernel_id": "45259466"}, {"ref": "colinlagator/make-all-plays-left-right", "kernel_id": "45834829"}, {"ref": "colinlagator/play-animation-create-gifs-in-python", "kernel_id": "45768639"}, {"ref": "scr0ll0/single-play-visualization", "kernel_id": "45237018"}, {"ref": "ashrithanumala/nfl-big-data-bowl-speed-watt", "kernel_id": "45484417"}, {"ref": "abhiramashok/pilot", "kernel_id": "45652305"}, {"ref": "rmm186/dataset-explore", "kernel_id": "45232803"}, {"ref": "agatadu/nfl-2024-python-explore", "kernel_id": "45470841"}, {"ref": "johnwilson31/tackling-the-issue-of-a-linebacker-s-influence", "kernel_id": "45379624"}, {"ref": "hafedjamil/nfl-big-data-bowl-2024", "kernel_id": "45847158"}, {"ref": "seventyfivebyte/python-exploratory-data", "kernel_id": "45046372"}, {"ref": "cartertaffe1/yards-after-contact-exploratory-data-analysis", "kernel_id": "45842337"}, {"ref": "khansahil128/nfl-big-data-bowl-2024", "kernel_id": "45277041"}, {"ref": "ayushkhaire/players-data-analysis-of-nfl", "kernel_id": "45640093"}, {"ref": "ayushkhaire/games-data-analysis-of-nfl", "kernel_id": "45471386"}, {"ref": "ayushkhaire/plays-data-analysis-of-nfl", "kernel_id": "45675316"}, {"ref": "ayushkhaire/tackles-data-analysis-nfl", "kernel_id": "45750669"}, {"ref": "ayushkhaire/tracking-week-nfl", "kernel_id": "45816868"}, {"ref": "ayushkhaire/nfl-notebook", "kernel_id": "45970515"}, {"ref": "dipayancodes/nfl-tackling-metrics-evaluation", "kernel_id": "45193506"}, {"ref": "sdesai77/big-data-bowl", "kernel_id": "45372464"}, {"ref": "graylanjanulis/nfl-tackle-analysis-and-momentum-conservation", "kernel_id": "45145907"}, {"ref": "graylanjanulis/advanced-quantum-tackle-analysis", "kernel_id": "45197754"}, {"ref": "johnbahrenburg/notebookd785d9d327", "kernel_id": "45553477"}, {"ref": "parashchand/nfl-rising-star-2024", "kernel_id": "45668115"}, {"ref": "twinpilgrim/getting-a-word-count-of-your-notebook", "kernel_id": "46687052"}, {"ref": "twinpilgrim/play-result-not-matching-the-frames-ball-movement", "kernel_id": "46169067"}, {"ref": "masonwilde/play-animation-create-gifs-in-python", "kernel_id": "46612427"}, {"ref": "mvoulo/old-submission-rate-predictions-and-gif", "kernel_id": "46723479"}, {"ref": "jakereckin/big-data-bowl-toe", "kernel_id": "46327745"}, {"ref": "nuriztrk/eda-of-players-at-the-nfl-24", "kernel_id": "46503978"}, {"ref": "nuriztrk/eda-of-nfl-games", "kernel_id": "46134021"}, {"ref": "arifwani21/analysis-of-nfi-big-data-bowl", "kernel_id": "46928428"}, {"ref": "gulsunai/nfl-big-data-bowl-2024-code", "kernel_id": "46148244"}, {"ref": "iftekharalammitu/nfl-big-data-interactive-plot", "kernel_id": "46181109"}, {"ref": "juozaskadusauskas/simple-heatmap-for-selected-player", "kernel_id": "46085400"}, {"ref": "billalpervaz/startegizing-offence", "kernel_id": "46847442"}, {"ref": "billalpervaz/top-players-w-r-t-tackle-data", "kernel_id": "46311770"}, {"ref": "billalpervaz/track-position-of-top-tackling-player", "kernel_id": "46522286"}, {"ref": "ankspremi/notebook6770641099", "kernel_id": "46140853"}, {"ref": "bradyd/pst-an-analysis-of-points-saved-by-tackle", "kernel_id": "46477079"}, {"ref": "brienruyak/the-coach-s-edge", "kernel_id": "46764764"}, {"ref": "johnbahrenburg/yards-saved-2", "kernel_id": "46330969"}, {"ref": "johnbahrenburg/jb-jk-yards-saved", "kernel_id": "46306572"}, {"ref": "jeremybuas/notebook0630899228", "kernel_id": "46194038"}, {"ref": "josephgylyscolwell/tackling-propensity-score", "kernel_id": "46793989"}, {"ref": "lali67/nfl-bdb-2024-model", "kernel_id": "47296597"}, {"ref": "twinpilgrim/appendix-tackle-effectiveness-tackle-coverage", "kernel_id": "47449205"}, {"ref": "twinpilgrim/metrics-tackle-effectiveness-tackle-coverage", "kernel_id": "47453078"}, {"ref": "sburak17/tackling-logistic-regression", "kernel_id": "47788893"}, {"ref": "carrot1500/evaluating-tackle-difficulty", "kernel_id": "47115433"}, {"ref": "nickwan/speed-up-with-cudf-pandas", "kernel_id": "47071366"}, {"ref": "vinitkp/nflbigdatabowl-eda", "kernel_id": "47996328"}, {"ref": "vinitkp/r-classes", "kernel_id": "47487324"}, {"ref": "mvoulo/what-makes-a-good-tackle-etsr-tackle-index", "kernel_id": "47433068"}, {"ref": "riyajm/players-and-team-analysis", "kernel_id": "47203561"}, {"ref": "christopherjodice/ultimate-tackle-performance-metric-trending", "kernel_id": "47993696"}, {"ref": "timalbiston/db-expected-tackles-against-wrs-on-pass-plays", "kernel_id": "47346631"}, {"ref": "cegcgec/strength-of-tackle-and-strength-of-carry", "kernel_id": "47811150"}, {"ref": "allanpaiz/bugged-player-tracking-data", "kernel_id": "47067340"}, {"ref": "stevenpatton97/the-components-of-a-tackle-a-physics-driven-study", "kernel_id": "47650127"}, {"ref": "jakewallack567/notebooka199fcf59a", "kernel_id": "47422897"}, {"ref": "sethlanza/pursuit-big-data-bowl-2024-submission", "kernel_id": "47672877"}, {"ref": "poppynator/nfl-games-complete-analysis", "kernel_id": "47982748"}, {"ref": "devilbornfire/nfl-model-2024", "kernel_id": "47785503"}, {"ref": "jenniferhann/defensive-performance-prediction-on-a-player-play", "kernel_id": "47430867"}, {"ref": "richcordova/tme-nfl-data-bowl-2024", "kernel_id": "47217201"}, {"ref": "hugginglook/nfl-big-data-bowl-2024-r-you-ready", "kernel_id": "47186000"}, {"ref": "shawnbaldwin/spat-tackle-predictor-linebackers-nfl-bdb-2024", "kernel_id": "47165213"}, {"ref": "danbickelhaupt/rsoe-run-stops-over-expected", "kernel_id": "47553840"}, {"ref": "jimwarner/relative-location-and-speed-features", "kernel_id": "47503748"}, {"ref": "lecardonnel/mott-missed-opportunities-to-tackle", "kernel_id": "47805629"}, {"ref": "cameronfowler/using-the-keras-sequential-learning-model-to-predi", "kernel_id": "47900035"}, {"ref": "johnbahrenburg/notebook58090a7ea8", "kernel_id": "47523560"}, {"ref": "johnbahrenburg/yards-saved-lasso", "kernel_id": "47513108"}, {"ref": "johnbahrenburg/yards-saved-ridge", "kernel_id": "47488877"}, {"ref": "mrblsystems/assessing-nfl-offenses-with-the-fps", "kernel_id": "47666255"}, {"ref": "josepnapitupulu/notebook808b9ead1c", "kernel_id": "47956658"}, {"ref": "seanhardy531/evaluating-the-nfl-s-best-at-eluding-tackles", "kernel_id": "47517149"}, {"ref": "paulrobertson/notebook-for-nfl-tackling-competition", "kernel_id": "48850353"}, {"ref": "shradz18/classification-model-nfl-big-data-bowl-2024", "kernel_id": "48554441"}, {"ref": "sapper/nextgen2024", "kernel_id": "48965220"}, {"ref": "liamhealy/nfl-eda-visualisations", "kernel_id": "48346251"}, {"ref": "suneetsaini/basic-nfl-data-bowl-2024-rfclassisfier", "kernel_id": "48785226"}, {"ref": "nickwan/simple-tackle-probability-and-viz", "kernel_id": "48156929"}, {"ref": "xuover/nfl-xuover-tfdf", "kernel_id": "48967630"}, {"ref": "vinitkp/nfl2024-playerperformance", "kernel_id": "48576280"}, {"ref": "vinitkp/trackingplayersdata", "kernel_id": "48328232"}, {"ref": "sasin324/tackleimportance", "kernel_id": "48176799"}, {"ref": "tianmin/automated-mirror-strategy-evaluation-tool", "kernel_id": "48927776"}, {"ref": "victorchen007/victor-big-data-bowl-2024", "kernel_id": "48155090"}, {"ref": "sp7242/the-kinetic-curvature-kc-index-and-indicator", "kernel_id": "48678272"}, {"ref": "hoferjames/occasionem-carpe", "kernel_id": "48555977"}, {"ref": "andrewakers9/ppf-toe-an-attribution-model-of-tackling-skill", "kernel_id": "48744551"}, {"ref": "pschlais/grading-tackle-fundamentals", "kernel_id": "48659838"}, {"ref": "jiancongzeng/databowl2024", "kernel_id": "48897245"}, {"ref": "danoff/lending-a-hand-in-bringing-ballcarriers-down", "kernel_id": "48372323"}, {"ref": "benjenkins96/beyond-the-tackle-new-bilstm-metrics-for-defense", "kernel_id": "48979819"}, {"ref": "saishsawant/events-predictions-and-visualization", "kernel_id": "48858783"}, {"ref": "hassaaninayatali/every-step-you-take-measuring-a-defender-s-moves", "kernel_id": "48739250"}, {"ref": "sarimachiorlu/notebook7fcabf7607", "kernel_id": "48798577"}, {"ref": "julianmacnamara/nfl-submission-v0-1", "kernel_id": "48183624"}, {"ref": "barbosajaf/nfl-big-data-bowl-2024-jafb", "kernel_id": "48885999"}, {"ref": "reginamanion/d-linemen-s-crucial-role-in-tackling-success", "kernel_id": "48829873"}, {"ref": "lauvfpitipak/nfl-data-bowl-2024-plays-animation", "kernel_id": "48992372"}, {"ref": "aaronfoxdeakin/tackle-j-kinetic-energy-tackle-performance", "kernel_id": "48992937"}, {"ref": "tindata/momentum-based-fractional-tackles", "kernel_id": "48892481"}, {"ref": "santiagocasanovad/control-driven-tackle-performance-evaluation", "kernel_id": "48714897"}, {"ref": "grantallen18/atps-redefining-tackle-evaluations-full-code", "kernel_id": "48852584"}, {"ref": "chetmacarthur/tackling-performance-expected-tackles", "kernel_id": "48087498"}, {"ref": "satyaprakashshukl/nfl-big-data-bowl-2024", "kernel_id": "48111192"}, {"ref": "vanshitasharma/nfl-2024-full-preprocessing-eda", "kernel_id": "48899272"}, {"ref": "kushtrivedi14728/nfl-vision-the-ai-revolution-in-nfl-coaching", "kernel_id": "48975106"}, {"ref": "calvinaberg/socs-methodology-to-evaluate-tackler-range", "kernel_id": "48995064"}, {"ref": "alexlaycock/diving-into-the-what-if-s-yards-saved-on-tackles", "kernel_id": "48921835"}, {"ref": "chrispatza/predicted-motion-tackle-probability-and-avg-xyards", "kernel_id": "48931745"}, {"ref": "michaelbock18/magnus-the-homicidal-chess-ai", "kernel_id": "48892626"}, {"ref": "nataliegarrett07/missed-tackles-over-expected", "kernel_id": "48928053"}, {"ref": "jakewallack567/not-all-tackles-are-created-equal", "kernel_id": "48885353"}, {"ref": "louzhou/pvwpbigdatabowl", "kernel_id": "48354151"}, {"ref": "brunoscodari/bite-bayesian-index-for-tackle-efficiency", "kernel_id": "48802936"}, {"ref": "nuriztrk/nfl-rule-extraction-and-tackle-prediction-2024", "kernel_id": "48264483"}, {"ref": "matthewkraus/angle-of-attack-and-breaking-down-into-tackles", "kernel_id": "48892683"}, {"ref": "samburch/metrics-for-tackling-evaluation", "kernel_id": "48238298"}, {"ref": "larjeck/nfl-data-bowl-2024-plays-animation6", "kernel_id": "48893798"}, {"ref": "spudmuffin37/nfl-bigdatabowl-2024", "kernel_id": "48710162"}, {"ref": "ryanhermes/tfpm-evaluating-a-defender-s-tackling-ability", "kernel_id": "48975236"}, {"ref": "spencershaw3/geospatial-analysis-of-missed-tackles-in-the-nfl", "kernel_id": "48872194"}, {"ref": "nowshad231/nfl-big-data-bowl-2024-nowshad", "kernel_id": "48585793"}, {"ref": "jacksonevert/jackson-sokel-kaggle-nfl-big-data-bowl", "kernel_id": "48975159"}, {"ref": "yaochenyu/nfl-analysis", "kernel_id": "48235827"}, {"ref": "darblu/t-yac-kling-minimizing-yards-after-catch", "kernel_id": "48791757"}, {"ref": "ryee98/quantifying-tackling-skill-through-scope-and-stop", "kernel_id": "48836084"}, {"ref": "trentonchang/taper-how-many-yards-does-a-tackle-prevent", "kernel_id": "48603103"}, {"ref": "idreesmkudaimi/tackle-score-for-ilb-s", "kernel_id": "48998259"}, {"ref": "anvitrao/it-takes-a-village-tackle-contributions", "kernel_id": "48983332"}, {"ref": "danielgalper11/yaconomics-a-deep-dive-into-yac-over-expected", "kernel_id": "48927889"}, {"ref": "henryz13/nfl-big-data-bowl-2024-submission", "kernel_id": "48521183"}, {"ref": "juliettekline/tackling-metrics-as-a-function-for-scouting", "kernel_id": "48033450"}, {"ref": "olivermartin/tax-a-new-metric-for-tackling-performance", "kernel_id": "48915714"}, {"ref": "andyreed04/guardians-of-the-gridiron", "kernel_id": "48832800"}, {"ref": "jakubmalachowski/createcontactevents", "kernel_id": "48746187"}, {"ref": "jakubmalachowski/nfl-big-data-bowl-2023-24", "kernel_id": "48998966"}, {"ref": "jakubmalachowski/finalprepandmodel", "kernel_id": "48921476"}, {"ref": "suryanshsharma1/distance-between-players-eda-animation", "kernel_id": "48749752"}, {"ref": "paakhim10/nfl-smackdown-animations-and-predicting-tsr", "kernel_id": "48370215"}, {"ref": "rfeng12/nfl-successful-tackle-prediction", "kernel_id": "48937743"}, {"ref": "henrykraessig/henry-kraessig-bdb-2024", "kernel_id": "48973153"}, {"ref": "alextrbovic/team-fsu-dynamic-tackler-identification", "kernel_id": "48976466"}, {"ref": "leejamesking/nfl-player-comprehensive-quality-assessment-radar", "kernel_id": "48501175"}, {"ref": "huazhenglin/players-fitness-assessment", "kernel_id": "48500778"}, {"ref": "huazhenglin/tackle-score", "kernel_id": "48499880"}, {"ref": "arichknaub/predicting-tackles-big-data-bowl-2024", "kernel_id": "48702893"}, {"ref": "godragons6/tackle-opportunity-window", "kernel_id": "48404336"}, {"ref": "duzhouyyds/predict-the-probability-of-a-defensive-player-maki", "kernel_id": "48265986"}, {"ref": "mehmoodbhutta/fork-of-nfl-big-data-2024", "kernel_id": "48467889"}, {"ref": "serhiikharchuk/enhanced-undergraduate-track-analysis-with-scoring", "kernel_id": "48928709"}, {"ref": "serhiikharchuk/play-strategy-effectiveness-coaching-presentatio", "kernel_id": "48929875"}, {"ref": "serhiikharchuk/defensive-impact-score-dis-metric-track-analys", "kernel_id": "48929598"}, {"ref": "serhiikharchuk/analyzing-player-tracking-data-for-tackling-insigh", "kernel_id": "48930066"}, {"ref": "matthewpchang/uncovering-missed-tackle-opportunities", "kernel_id": "48889309"}, {"ref": "andrewsgreenwood/exploring-nfl-defensive-data", "kernel_id": "48706660"}, {"ref": "roopeshaithal/nfl-performance-rank", "kernel_id": "48822079"}, {"ref": "heathvnst/tackler-reward-metric-and-tackle-probability", "kernel_id": "48701967"}, {"ref": "aariviyengar/quantifying-run-defense-in-off-ball-linebackers", "kernel_id": "48664035"}, {"ref": "zekeweng/tackle-redistribution-t-in-tackle-is-for-team", "kernel_id": "48802698"}, {"ref": "jlfoundation/final-submission", "kernel_id": "48626842"}, {"ref": "ugochukwuokeadu/notebook294681cd86", "kernel_id": "48511945"}, {"ref": "devinbasley26/no-edge-no-chance", "kernel_id": "48935488"}, {"ref": "satishsathawane/nfl-big-data-bowl-2024-ml", "kernel_id": "48915002"}, {"ref": "lindiefan/big-data-bowl-2024-ldf", "kernel_id": "48987397"}, {"ref": "anniechensy00/predictive-analysis-of-defensive-player-performanc", "kernel_id": "48166887"}, {"ref": "ayanprad/nfl-analysis", "kernel_id": "48153051"}, {"ref": "abhishekvaradarajan/spilling-vs-boxing-how-defenses-fit-counter", "kernel_id": "48654112"}, {"ref": "rosalindcheng/nfl-model", "kernel_id": "48780993"}, {"ref": "kaushiksivakumar07/nfl-tackle-success-ratio", "kernel_id": "48600678"}, {"ref": "arthurneuron/nfl-data-analysis-draft-fun", "kernel_id": "48737179"}, {"ref": "kunkagglecolumbia/notebook526dda2662", "kernel_id": "48936552"}, {"ref": "haris33/nfl-bowl", "kernel_id": "48663300"}, {"ref": "blackboyzeus/hitstick-llm-dss", "kernel_id": "48743169"}, {"ref": "nishapuri/quantifying-minimum-yardage-and-touchdowns-saved", "kernel_id": "48890736"}, {"ref": "callancapitolo1999/tackling-deep-dive", "kernel_id": "48989642"}, {"ref": "cdjarrell/attack-zones-yards-after-contact-and-attack-angle", "kernel_id": "49122694"}, {"ref": "juanricardop/nfl-tackle-impact-score-analysis-and-prediction", "kernel_id": "49118690"}, {"ref": "slayerpark/predator", "kernel_id": "49056436"}, {"ref": "gvyshnya/nfl-data-analytics-and-union-rugby", "kernel_id": "49038023"}, {"ref": "mirroregg/notebook5ce7547233", "kernel_id": "49111271"}, {"ref": "brandonlester/block-shed-score", "kernel_id": "49121690"}, {"ref": "dhaksubb/distance-covered-and-yards-saved-by-tackles", "kernel_id": "49029941"}, {"ref": "ricdur/defensive-tackling-contribution-dtc", "kernel_id": "49118165"}, {"ref": "zerg468/nfl-tackling-strategies-with-tracking-data", "kernel_id": "49057781"}, {"ref": "mansooralam559/classification-model-for-nfl-big-data-bowl-2024", "kernel_id": "49095728"}, {"ref": "abowen/open-field-tackling-insights-for-coaches", "kernel_id": "49122337"}, {"ref": "smaran2430/positionless-tackles-novel-tackler-assessment", "kernel_id": "49121513"}, {"ref": "dcabel02/making-the-tackle-linebacker-trading-cards", "kernel_id": "49121183"}, {"ref": "nickb1125/spatial-density-estimation-for-tackles-eys-pfi", "kernel_id": "49027525"}, {"ref": "daniellanderos/metric-tackle-impact-rating-tir", "kernel_id": "49019460"}, {"ref": "elignesin/tocq-tackle-opportunity-containment-quotient", "kernel_id": "49074894"}, {"ref": "matthewdzwil1/xtc-expected-tackle-credit", "kernel_id": "49104122"}, {"ref": "saishsawant/fork-of-events-predictions-and-visualization", "kernel_id": "49158719"}, {"ref": "maxwellstjohn/pursuit-quality-and-tackle-value-lost", "kernel_id": "49075033"}, {"ref": "james4515/nfl-data-bowl-2024", "kernel_id": "49070617"}, {"ref": "crisippolite/crisippolite-nfl-big-data-bowl-2024", "kernel_id": "49057703"}, {"ref": "lenferdetroud/classification-model-for-nfl-big-data-bowl-2024", "kernel_id": "49120826"}, {"ref": "mepiyush2000/nfl-team-devin-predicting-tackles", "kernel_id": "49115818"}, {"ref": "averyjackson/2024bdb-pass-tackle-probability-final", "kernel_id": "49011779"}, {"ref": "averyjackson/nflbdb-2024-pass-play-tackle-probability", "kernel_id": "49079536"}, {"ref": "mattflaherty97/pursuit-angle-mean-absolute-difference", "kernel_id": "49027605"}, {"ref": "spencerkerch/defense-in-the-digital-age", "kernel_id": "49120129"}, {"ref": "jbrooks94/advantage-theory-the-un-importance-of-tackling", "kernel_id": "49115724"}, {"ref": "robbwu/pep-a-metric-for-evaluating-tackles", "kernel_id": "49089034"}, {"ref": "cjolson2000/houston-we-have-a-tackling-problem", "kernel_id": "49068287"}, {"ref": "bmailman/a-statistical-analysis-on-tackling-in-r", "kernel_id": "49081497"}, {"ref": "brettbi/notebooka43088b9fe", "kernel_id": "49122130"}, {"ref": "isaacvm98/tar-vs-tttoar-passing-plays", "kernel_id": "49125390"}, {"ref": "maxwhalen/srss-successful-run-stop-score", "kernel_id": "49076268"}, {"ref": "neilgulati/nfl2024databowlsubmission-neilgulatitomkoch", "kernel_id": "49074010"}, {"ref": "charlesgiess/tackling-the-unstoppable-play", "kernel_id": "49079180"}, {"ref": "alexandrepetit881234/it-s-all-about-momentum", "kernel_id": "49102235"}, {"ref": "martinabada/martin-abada-nfl-data-bowl-2024", "kernel_id": "49112320"}, {"ref": "vincentkarpick/whose-yardline-is-it-anyway", "kernel_id": "49101737"}, {"ref": "alexfeazelle/nflbdb24-pickle-feazelle", "kernel_id": "49113526"}, {"ref": "allanpaiz/defensive-stopping-power", "kernel_id": "49073283"}, {"ref": "gklopp/yap-yards-added-by-pursuit", "kernel_id": "49073553"}, {"ref": "chrispatza/deepimitationmodel-bdb24", "kernel_id": "49027288"}, {"ref": "ryanirl/yards-allowed-created-over-expected", "kernel_id": "49070494"}, {"ref": "mikolajhojda/identification-of-tackle-types-using-clustering", "kernel_id": "49060878"}, {"ref": "jacobwinch/tackles-above-average", "kernel_id": "49078395"}, {"ref": "samueljin99/tru-tackling-as-physical-repulsion-at-a-distance", "kernel_id": "49117014"}, {"ref": "baptistegorteau/evaluating-tackling-position-at-catching-moment", "kernel_id": "49072744"}, {"ref": "jcs112358/the-big-score", "kernel_id": "49128042"}, {"ref": "lorenzodube/tackling-expected-yards-saved-preventing-unnecess", "kernel_id": "49123485"}, {"ref": "lorenzodube/expected-yards-saved-preventing-unnecessary-yards", "kernel_id": "49119221"}, {"ref": "rosadogdvd/tackle-difficulty-tacklerness-per-player", "kernel_id": "49063844"}, {"ref": "nataliekalina/predicting-tackle-time-with-gam", "kernel_id": "49061135"}, {"ref": "bendavis71/pull-the-plug", "kernel_id": "49115614"}, {"ref": "johngage/kaggle-analysis-submission", "kernel_id": "49126989"}, {"ref": "penpentled/tackle-tempo-measuring-abilities-during-contact", "kernel_id": "49043528"}, {"ref": "juliabreckenridge23/tackle-over-expectation-big-data-bowl-2024", "kernel_id": "49072327"}, {"ref": "michaelegle/mr-marlon-and-the-big-tacklers", "kernel_id": "49070485"}, {"ref": "laurenjames10/no-edge-no-chance-analysis-on-setting-the-edge", "kernel_id": "49121787"}, {"ref": "sydneyvogel/tackle-efficiency-rating", "kernel_id": "49070046"}, {"ref": "calebdayley/tackle-analysis-data", "kernel_id": "49081816"}, {"ref": "brochillington/pasta", "kernel_id": "49103083"}, {"ref": "luckyprophet5/scouting-opponents-through-expected-yac", "kernel_id": "49122970"}, {"ref": "jarrettmarkman/tackling-the-numbers", "kernel_id": "49120181"}, {"ref": "yiruwang02/missed-opportunities-assessing-missed-tackles", "kernel_id": "49116570"}, {"ref": "georgearianas22/predicting-tackle-location", "kernel_id": "49122529"}, {"ref": "etiennebusnel/the-need-for-speed-slowing-carriers-down", "kernel_id": "49077711"}, {"ref": "lorihe/survival-analysis-on-progress-after-caught", "kernel_id": "49022200"}, {"ref": "treycrashlabounty/dog-rating-defeating-other-greats", "kernel_id": "49123835"}, {"ref": "jackdegesero/nfldatabowl2024-jack-degesero", "kernel_id": "49061382"}, {"ref": "jakubmalachowski/framesdataadditionalfeatures", "kernel_id": "49068470"}, {"ref": "rfeng12/nfl-betting-data-analysis", "kernel_id": "49025888"}, {"ref": "aaronogle/forced-fumble-analysis-using-k-means-clustering", "kernel_id": "49001254"}, {"ref": "cescofran/nfl-2024-tackle-triangle-shape", "kernel_id": "49109833"}, {"ref": "michaellabbe/spare-the-block-spoil-the-backer", "kernel_id": "49022878"}, {"ref": "ikennaosuji/notebook4541640103", "kernel_id": "49008242"}, {"ref": "hjk1168/nfl-kaggle-2024-submission", "kernel_id": "49073154"}, {"ref": "patrickshannon17/tackle-range-factor-plus", "kernel_id": "49114994"}, {"ref": "joedubya/can-we-improve-prevent-defense-big-data-bowl-24", "kernel_id": "49067851"}, {"ref": "mellorben/tackle-effect", "kernel_id": "49115616"}, {"ref": "maximilianoramirez1/densenn-lstm-to-predict-tackle", "kernel_id": "49075793"}, {"ref": "smitbajaj/set-a-framework-to-evaluate-edge-setters", "kernel_id": "49078867"}, {"ref": "ryanmailley/evaluating-tackles-by-level-of-defense", "kernel_id": "49025404"}, {"ref": "colejacobson/surge-a-measurement-for-hidden-defensive-impact", "kernel_id": "49123364"}, {"ref": "williamqualls/big-data-bowl-2024-uconn-is", "kernel_id": "49121793"}, {"ref": "rds826/yards-saved-after-the-catch", "kernel_id": "49079456"}, {"ref": "gabrielgrossman/predicting-retaliation-plays-with-machine-learning", "kernel_id": "49117382"}, {"ref": "anis105/eda-for-nfl-big-data-bowl", "kernel_id": "49117282"}, {"ref": "lukeneuendorf/tdoe-tackle-depth-over-expectation", "kernel_id": "49070961"}, {"ref": "parashchand/nfl-game-data-analysis", "kernel_id": "49689541"}, {"ref": "parashchand/nfl-play-data-analysis", "kernel_id": "49692448"}, {"ref": "parashchand/nfl-player-data-analysis", "kernel_id": "49684156"}, {"ref": "kevinbaer/swarm-score-quantifying-rallying-to-the-football", "kernel_id": "49011196"}, {"ref": "brynned/analyzing-nfl-defensive-player-performance-with-ml", "kernel_id": "49022612"}, {"ref": "rolandhaynes/nflbowl2024-event-tackleprobability1", "kernel_id": "49075091"}, {"ref": "matthewrabin/predicted-tackle-probability", "kernel_id": "49065146"}, {"ref": "kunkagglecolumbia/decrypting-the-fluid-game-dynamics", "kernel_id": "49072316"}, {"ref": "tshegofatsomogotlane/nfl-winning-strategy", "kernel_id": "49112182"}, {"ref": "raghavraghunath/nfl-data-bowl-2024-project", "kernel_id": "49074311"}, {"ref": "brettbarnes/bigdatabowl", "kernel_id": "49123572"}, {"ref": "matthewrubenstein1/make-a-dent", "kernel_id": "49118378"}, {"ref": "raviiloveyou/predictive-analysis-of-defensive-player-performanc", "kernel_id": "50785886"}, {"ref": "cescofran/nlf-tts-dataset-starter-notebook", "kernel_id": "50369580"}, {"ref": "sahilfatima/nfl-big-data-bowl", "kernel_id": "50072693"}, {"ref": "firstdownpayment/rushing-offense-defense-plus-minus-ropm-and-rdpm", "kernel_id": "50342244"}, {"ref": "drmurataltun/c7-classification-model-for-nfl-big-data-bowl-2024", "kernel_id": "60599729"}, {"ref": "docxian/nfl-big-data-bowl-2025-r", "kernel_id": "67312582"}, {"ref": "rekhadhanpal/nfl-situational-tackling-performance-insights-pr", "kernel_id": "73232710"}, {"ref": "spuli2002/nlpfin", "kernel_id": "77336453"}]}
{"competition_id": "60351", "kernels": []}
{"competition_id": "60402", "kernels": []}
{"competition_id": "60403", "kernels": []}
{"competition_id": "60411", "kernels": [{"ref": "priyansh2904/notebookcaf136a4eb", "kernel_id": "42965925"}]}
{"competition_id": "60493", "kernels": []}
{"competition_id": "60496", "kernels": []}
{"competition_id": "60503", "kernels": [{"ref": "katekondrateva/baseline-model", "kernel_id": "43057408"}]}
{"competition_id": "60508", "kernels": [{"ref": "chunlo/python", "kernel_id": "45210187"}, {"ref": "chunlo/r-lang", "kernel_id": "45210430"}]}
{"competition_id": "60535", "kernels": []}
{"competition_id": "60537", "kernels": []}
{"competition_id": "60558", "kernels": [{"ref": "gabrielikaro/titanic-randomforest", "kernel_id": "43108049"}, {"ref": "xypkent/decision-tree-random-forest", "kernel_id": "43078578"}]}
{"competition_id": "60593", "kernels": []}
{"competition_id": "60596", "kernels": []}
{"competition_id": "60642", "kernels": []}
{"competition_id": "60679", "kernels": []}
{"competition_id": "60700", "kernels": []}
{"competition_id": "60712", "kernels": []}
{"competition_id": "60722", "kernels": [{"ref": "docxian/spotify-popularity-prediction-visual-exploration", "kernel_id": "43265730"}, {"ref": "nachomohamed/spotify-nacho-mohamed", "kernel_id": "43390428"}, {"ref": "eminztrk/spotify-popularity-prediction", "kernel_id": "43178423"}, {"ref": "nagendramantrabuddi/spotify-popularity-prediction-rmse-11-5", "kernel_id": "43282157"}, {"ref": "osamaabobakr/top-4-rmse-11-74-spotify-population", "kernel_id": "43388132"}, {"ref": "eskilie/spotify-popularity-prediction-v2", "kernel_id": "43241826"}, {"ref": "felipeemerson/lab-02-pred-de-popular-de-m-sicas-no-spotify", "kernel_id": "43347352"}, {"ref": "csmohamedayman/tsf-numc-zillow-prize-zillow-s-home-value", "kernel_id": "55901565"}, {"ref": "csmohamedayman/ml-numc-house-prices-regression-techniques", "kernel_id": "60597060"}, {"ref": "csmohamedayman/ml-numc-spotify-popularity-prediction", "kernel_id": "60634075"}, {"ref": "christina0626/spotify-popularity-with-voting-classifier", "kernel_id": "60328522"}, {"ref": "csmohamedayman/eda-tab-spotify-popularity-prediction", "kernel_id": "71464962"}, {"ref": "icomert/predicting-popularity-of-songs-deep-learning", "kernel_id": "79159215"}, {"ref": "yunsuxiaozi/spp-realmlp", "kernel_id": "121914745"}, {"ref": "mostafahamed1/spotify-ml", "kernel_id": "131398436"}]}
{"competition_id": "60791", "kernels": []}
{"competition_id": "60792", "kernels": [{"ref": "leto25/pretrained-models-distilbert", "kernel_id": "43178445"}, {"ref": "leto25/embeddings-training-gensim", "kernel_id": "43177860"}, {"ref": "leto25/pretrained-embeddings-glove", "kernel_id": "43178230"}, {"ref": "gezimur/pretrained-models-distilbert", "kernel_id": "44437782"}, {"ref": "gezimur/embeddings-training-gensim", "kernel_id": "44406088"}, {"ref": "gezimur/pretrained-embeddings-glove", "kernel_id": "44419291"}]}
{"competition_id": "60851", "kernels": []}
{"competition_id": "60862", "kernels": []}
{"competition_id": "60864", "kernels": []}
{"competition_id": "60867", "kernels": []}
{"competition_id": "60868", "kernels": []}
{"competition_id": "60869", "kernels": []}
{"competition_id": "60884", "kernels": []}
{"competition_id": "60890", "kernels": [{"ref": "paddykb/ps-s3e23-flaml-flaws-and-faults", "kernel_id": "43941520"}, {"ref": "paddykb/pg-s3e23-gammy-errorrrs", "kernel_id": "43988658"}, {"ref": "adaubas/pss3e23-ensemble-validation", "kernel_id": "43963328"}, {"ref": "xpehutta/tensorflow-select-features-optuna", "kernel_id": "43987699"}, {"ref": "lucabasa/binary-classification-playground", "kernel_id": "43951520"}, {"ref": "datascientistsohail/xgbclassifier-bayesian-se-03ep-23", "kernel_id": "43983216"}, {"ref": "datascientistsohail/ensemble-3m-xgb-lgbm-catboost-classifier", "kernel_id": "43990658"}, {"ref": "oscarm524/ps-s3-ep23-eda-modeling-submission", "kernel_id": "43927968"}, {"ref": "daaadaaa/s3e23-eda-baseline", "kernel_id": "43927137"}, {"ref": "kimtaehun/complete-eda-and-baseline-code-in-5-minutes", "kernel_id": "43955383"}, {"ref": "vinitkp/eda-baseline", "kernel_id": "43933838"}, {"ref": "bill2bill/s03e23-software-defects-playground", "kernel_id": "43983038"}, {"ref": "stpeteishii/software-defects-visualize-importance", "kernel_id": "43953700"}, {"ref": "stpeteishii/software-defects-lgbm-with-optuna", "kernel_id": "43981484"}, {"ref": "mpwolke/predictive-software-models", "kernel_id": "43933811"}, {"ref": "syerramilli/ps3e23-eda-catboost-optuna-shap", "kernel_id": "43955832"}, {"ref": "achusanjeev/best-features-in-the-dataset", "kernel_id": "43981085"}, {"ref": "paw27182/ps3e23-adaboostclassifier", "kernel_id": "43932612"}, {"ref": "sytuannguyen/software-defect-classifier", "kernel_id": "43992217"}, {"ref": "kerrysun/lb-0-79057-cv-0-78598-v5-stacking-model", "kernel_id": "43934916"}, {"ref": "akioonodera/ps-3-23-lgbm-bin", "kernel_id": "43927447"}, {"ref": "subhajitbag/p3e23-eda-ensemble-ml-pipeline-optuna-shap", "kernel_id": "43963556"}, {"ref": "sitloboi/notebook68514ff1b3", "kernel_id": "43962835"}, {"ref": "bkowshik/automl-with-h2o-defects-in-programs", "kernel_id": "43960362"}, {"ref": "bkowshik/exploratory-data-analysis-defects-in-programs", "kernel_id": "43953434"}, {"ref": "tracyporter/play-3-23-jax-logreg", "kernel_id": "43957094"}, {"ref": "tracyporter/play-3-23-jax-linreg-clip-edges", "kernel_id": "43973791"}, {"ref": "tracyporter/play-3-23-jax-linreg-minmax", "kernel_id": "43973650"}, {"ref": "priyanshuagwl/software-defects", "kernel_id": "43933122"}, {"ref": "tomaseida/binary-classification-with-a-software-defects-data", "kernel_id": "43983880"}, {"ref": "thomasmeiner/ps3e23-bluecast-automl-eda-experiment-track", "kernel_id": "43979193"}, {"ref": "thomasmeiner/ps3e23-automl-eda-baseline-with-bluecast", "kernel_id": "43952327"}, {"ref": "nikhil1e9/s3-e23-eda-voted-ensemble-optuna", "kernel_id": "43949350"}, {"ref": "zhukovoleksiy/ps-s3e23-explore-data-stacking-ensemble", "kernel_id": "43975161"}, {"ref": "lucasbruzzone/binary-classification-with-a-software-defects-data", "kernel_id": "43927389"}, {"ref": "collinsakal/predicting-software-defects-with-catboost", "kernel_id": "43927240"}, {"ref": "mcpenguin/ps3e23-eda-prediction", "kernel_id": "43927169"}, {"ref": "pohzixiang/ps3e23-smotetomek-xgboost-with-tuning", "kernel_id": "43927863"}, {"ref": "atharvadumbre/ps-s3e23-baseline", "kernel_id": "43927249"}, {"ref": "jocelyndumlao/binary-classification-predicted-probability", "kernel_id": "43976306"}, {"ref": "rajeevnair676/simple-eda-for-beginners", "kernel_id": "43947576"}, {"ref": "jamunaprasadyadav/binary-classification-with-a-software-defects-data", "kernel_id": "43988581"}, {"ref": "ridamahmood005/pg-ep23-baseline-logistic-regression", "kernel_id": "43938096"}, {"ref": "ambrosm/pss3e23-eda-which-makes-sense", "kernel_id": "43932335"}, {"ref": "thomaswrightanderson/ps3e23-software-defects-binary-classification", "kernel_id": "43963244"}, {"ref": "sohaibmoradi/ps-s3e23-eda-feature-selection-ensemble", "kernel_id": "43943176"}, {"ref": "ravi20076/playgrounds3e23-eda-baseline", "kernel_id": "43927588"}, {"ref": "klyushnik/software", "kernel_id": "43938247"}, {"ref": "suraj520/rf-stratified-k-fold-cv-feature-importances", "kernel_id": "43929668"}, {"ref": "pjmathematician/sdbc-xgb-lgb-cat-early-stopping-baseline", "kernel_id": "43945117"}, {"ref": "wentinglu/lightgbm-ensemble-prediction", "kernel_id": "43935680"}, {"ref": "uom190346a/models-for-water-potability-baselines", "kernel_id": "43147053"}, {"ref": "kawaiicoderuwu/machine-learning-for-beginners", "kernel_id": "43929131"}, {"ref": "kenjif/ps-3-23-auto-ml-blend-top-5-model", "kernel_id": "43928437"}, {"ref": "iqbalsyahakbar/ps3e23-binary-classification-for-beginners", "kernel_id": "43928398"}, {"ref": "eminztrk/feature-selection-autokeras-xgboost-knn", "kernel_id": "43991124"}, {"ref": "edmondkirsch/s3e23-0-78989-pb", "kernel_id": "43998140"}, {"ref": "yaaangzhou/pg-s3-e23-eda-modeling-ensemle-nn", "kernel_id": "43934197"}, {"ref": "dumanmesut/software-defect-0-1-eda-lgbm-xgb", "kernel_id": "43958286"}, {"ref": "vladislavonufrienko/ps-s3-e23-eda-optuna-lgbmclass", "kernel_id": "43935391"}, {"ref": "francescoliveras/ps-s3-e23-eda-model-en-es", "kernel_id": "43935125"}, {"ref": "ucas0v0zhuoqunli/eda-automl-baseline", "kernel_id": "43929783"}, {"ref": "kuryakin/s3-e23-eda-modeling-submission", "kernel_id": "43935385"}, {"ref": "chrisk321/software-defects-eda-submission", "kernel_id": "43930760"}, {"ref": "skv1436/pg-s3e23-eda-ensemble-method", "kernel_id": "43949253"}, {"ref": "aashishshrestha11/binary-classification-with-a-software-defects-data", "kernel_id": "43990041"}, {"ref": "endofnight17j03/software-defect-ann", "kernel_id": "43988123"}, {"ref": "m000sey/ps-3-23-predicting-software-defects", "kernel_id": "43965802"}, {"ref": "yunsuxiaozi/pss3e23-eda-baseline", "kernel_id": "43940243"}, {"ref": "yunsuxiaozi/pss3e23-fusion-model-k-fold", "kernel_id": "43945172"}, {"ref": "ziadaymantesla/code-defects", "kernel_id": "43927251"}, {"ref": "abhijit89kumar/ps-s3-e23", "kernel_id": "43943436"}, {"ref": "dariaremizova/logisticregression-software-defects-dataset", "kernel_id": "43952095"}, {"ref": "itsnobita/defect-classification-using-ml", "kernel_id": "43935597"}, {"ref": "vijayr2217019/binary-classification", "kernel_id": "43932295"}, {"ref": "saurabhru/binary-classification-with-a-software-defects-data", "kernel_id": "43966887"}, {"ref": "arunklenin/ps3e23-eda-feature-engineering-ensemble", "kernel_id": "43930905"}, {"ref": "rukenmissonnier/software-defect-prediction", "kernel_id": "43952367"}, {"ref": "kirtanmatalia26/binary-classification-with-a-software-defects-data", "kernel_id": "43985453"}, {"ref": "siva0310/logistic-regression-from-scratch", "kernel_id": "43978936"}, {"ref": "jacobgvu/ps-s3e23", "kernel_id": "43964702"}, {"ref": "soyabulislamlincoln/defect-classification-using-deep-learning", "kernel_id": "43961879"}, {"ref": "soyabulislamlincoln/defect-detection-advanced-eda", "kernel_id": "43950677"}, {"ref": "soyabulislamlincoln/defect-classication-using-efficientnetb7", "kernel_id": "43978808"}, {"ref": "soyabulislamlincoln/defects-classification-with-xgboost-and-optuna", "kernel_id": "43977487"}, {"ref": "commentsm/software-defects", "kernel_id": "43962327"}, {"ref": "adelinmil/pg-s03e23-quick-and-dirty-implementation", "kernel_id": "43943773"}, {"ref": "adelinmil/pg-s03e23-eda", "kernel_id": "43940580"}, {"ref": "huseyinbaytar/ps3e23-binary-classification-software-defect", "kernel_id": "43961508"}, {"ref": "dennisbucklin/software-defects-competition-notebook", "kernel_id": "43955902"}, {"ref": "hazmannaim/software-defect-prediction-simple-ml-ensemble", "kernel_id": "43955443"}, {"ref": "yogithaseelam/helloworld", "kernel_id": "43985264"}, {"ref": "id00000/playground-1", "kernel_id": "43973108"}, {"ref": "douglasbouchet/xgb-polynomial-expension-mutual-information", "kernel_id": "43953354"}, {"ref": "kathakaliseth/forked-software-defect-classifier", "kernel_id": "44091654"}, {"ref": "paddykb/ps-s3e23-nn-grn-and-variable-selection-cv-0-7914", "kernel_id": "44305157"}, {"ref": "jankuper192/software-defects-knn-boosting-gam-3de-draft", "kernel_id": "44343584"}, {"ref": "adaubas/pss3e23-comparison-xgboost-parameters", "kernel_id": "44556802"}, {"ref": "adaubas/pss3e14-extratrees", "kernel_id": "44305961"}, {"ref": "valentindefour/s3e23-experimenting-with-pycaret", "kernel_id": "44229836"}, {"ref": "cv13j0/binary-classification-with-a-sdd-exploration", "kernel_id": "44111293"}, {"ref": "chris36/software-defects-binary-classification", "kernel_id": "44011408"}, {"ref": "dima806/software-defects-topmisclass-search", "kernel_id": "44727409"}, {"ref": "dima806/ps3e23-submit-ensemble-final", "kernel_id": "44721590"}, {"ref": "dima806/software-defects-catboost-topmisclass-optuna-skf", "kernel_id": "44655257"}, {"ref": "abramova/ps3-e23-baseline-optuna-simple-code", "kernel_id": "44658725"}, {"ref": "vincentlugat/quick-keras", "kernel_id": "44032905"}, {"ref": "rishabh15virgo/s3e23-feature-selection-pycaret-ensemble", "kernel_id": "44157297"}, {"ref": "rishabh15virgo/s3e23-statistical-feature-selection-pycaret-tuned", "kernel_id": "44131666"}, {"ref": "rishabh15virgo/first-impression-data-understanding-eda-pycaret", "kernel_id": "44054638"}, {"ref": "docxian/ps-s3-e23-software-defects-nn-autogluon", "kernel_id": "44166932"}, {"ref": "datascientistsohail/logistic-regression-by-kernel-approximation-s3e23", "kernel_id": "44866024"}, {"ref": "datascientistsohail/bayesian-randomforest-software-defects", "kernel_id": "44919663"}, {"ref": "pratul007/software-defect-prediction-using-lgbmclassifier", "kernel_id": "44507137"}, {"ref": "qwerty29544/selfmade-sigmoid-mseloss-based-model-auc-0-76", "kernel_id": "44287953"}, {"ref": "sayanf/s3e23-software-defects-classification", "kernel_id": "44834092"}, {"ref": "iteachmachines/binary-classification-with-random-forest-model", "kernel_id": "44760456"}, {"ref": "chestadhingra/logistic-skf-regularization-optuna", "kernel_id": "44747759"}, {"ref": "bigkizd/spark-pipeline", "kernel_id": "44478334"}, {"ref": "apovidlo/s3-ep23-starting-baseline-with-autogluon-automl", "kernel_id": "44059589"}, {"ref": "chiranjeevisrinivas/pg-series-s3e23", "kernel_id": "44828943"}, {"ref": "hubert101/pg-s03e23-your-universal-data-visualization-pipe", "kernel_id": "44126668"}, {"ref": "adityaghuse/s3-e23-software-defects-classification", "kernel_id": "44889127"}, {"ref": "mukund23/pss3e23-quick-eda-baseline-xgb", "kernel_id": "44725654"}, {"ref": "spadini/simple-h2o-automl-submission", "kernel_id": "44566301"}, {"ref": "jatinsingh00739/binary-classification-with-using-xgb-classifier", "kernel_id": "44538555"}, {"ref": "tariquepce/data-analysis", "kernel_id": "44427328"}, {"ref": "nshalimov/software-defects-quick-rf", "kernel_id": "44424503"}, {"ref": "nshalimov/software-defects-nn", "kernel_id": "44436919"}, {"ref": "manavd22/a-diverse-ensemble", "kernel_id": "44134910"}, {"ref": "lasm1984/software-defects-using-xgboost-optuna-and-kmeans", "kernel_id": "44766548"}, {"ref": "kjihwan/nn-baseline-for-ensemble-cat-lgb", "kernel_id": "44555485"}, {"ref": "kjihwan/ps3e23-ensemble-is-all-you-need", "kernel_id": "44751528"}, {"ref": "anzarwani2/season-3-episode-23-baseline-smote", "kernel_id": "44050668"}, {"ref": "anzarwani2/classification-to-a-regression-problem", "kernel_id": "44552949"}, {"ref": "syerramilli/ps3e23-eda-xgboost-optuna-shap", "kernel_id": "44539380"}, {"ref": "syerramilli/ps3e23-feature-selection-automl", "kernel_id": "44017612"}, {"ref": "syerramilli/ps3e23-r-gam-for-detecting-software-defects", "kernel_id": "44252842"}, {"ref": "utkarsh175/basic-eda-data-preproc-random-forest-beginner", "kernel_id": "44011236"}, {"ref": "tcgeneric/software-defects-trial", "kernel_id": "44815648"}, {"ref": "crimsoneer/defect-prediction-part-1-baseline", "kernel_id": "44041495"}, {"ref": "nicobarea/see23-lgbm-nnet-catb-clas", "kernel_id": "44556136"}, {"ref": "p7476762/9-s-model-comparison-on-binary-classification", "kernel_id": "44908352"}, {"ref": "aiotsir/software-defect-classification", "kernel_id": "44837402"}, {"ref": "amgedelshiekh/tensorflow-multi-input-model-deep-deep-nn", "kernel_id": "44952112"}, {"ref": "johnsonhk88/software-defection-ml-approach", "kernel_id": "44296168"}, {"ref": "johnsonhk88/software-defection-deeplearning-approach", "kernel_id": "44384347"}, {"ref": "santiagoormando/simple-deep-learning-model-tutorial-and-ensamble", "kernel_id": "44730142"}, {"ref": "mehrankazeminia/ps3e23-lgbm-bayes-opt", "kernel_id": "44188129"}, {"ref": "debopamdas/unotheone", "kernel_id": "44609341"}, {"ref": "lonewalker29/s3e23-catboost-optuna", "kernel_id": "44303426"}, {"ref": "rajatsurana979/pss3e23-lets-breakdown-the-internet", "kernel_id": "44027580"}, {"ref": "lonnieqin/software-defects-prediction-with-lgbm", "kernel_id": "44355126"}, {"ref": "synchrocyclotron/simple-catboost-0-789", "kernel_id": "44026955"}, {"ref": "dhruvabhardwaj/pca-logistic-regression", "kernel_id": "44553976"}, {"ref": "napetrov/pss3e23-fusion-model-with-scikit-learn-intelex", "kernel_id": "44663860"}, {"ref": "napetrov/ps-s3-ep23-with-scikit-learn-intelex", "kernel_id": "44245729"}, {"ref": "ahsanulislam/software-defects-detection-very-simple", "kernel_id": "44008098"}, {"ref": "shogowak/p3e23-tuning-of-lightgbm-model-with-optuna", "kernel_id": "44159116"}, {"ref": "uyeanil/ps-s3e23-software-defect-dataset-eda", "kernel_id": "44313624"}, {"ref": "maximeperez/s3e23-test-different-models", "kernel_id": "44575711"}, {"ref": "maximeperez/s3e23-xgboostclassifier-vs-xgboostregressor", "kernel_id": "44608586"}, {"ref": "maximeperez/adversarial-validation", "kernel_id": "44248527"}, {"ref": "maximeperez/baseline-xgboost", "kernel_id": "44144190"}, {"ref": "maximeperez/xgboost-data-centric-way", "kernel_id": "44170016"}, {"ref": "maximeperez/lightgbm-optuna", "kernel_id": "44108161"}, {"ref": "dangnguyen97/explore-data-stacking-ensemble", "kernel_id": "44603119"}, {"ref": "dangnguyen97/feature-engineering-try-to-params-2-3-4", "kernel_id": "44773462"}, {"ref": "dangnguyen97/feature-selection-and-ensemble-ps3e23", "kernel_id": "44909499"}, {"ref": "tracyporter/play-3-23-jax-linreg-corr-col", "kernel_id": "44002048"}, {"ref": "tracyporter/play-3-23-jax-linreg-minmax-corr", "kernel_id": "44090339"}, {"ref": "satishpb/classify-software-defect", "kernel_id": "44285906"}, {"ref": "aayushpatni/last-day-starter", "kernel_id": "44986463"}, {"ref": "thomasmeiner/ps3e23-sklearn-classifier-autotuned", "kernel_id": "44310434"}, {"ref": "thomasmeiner/ps3e23-automl-eda-outlier-detection", "kernel_id": "44053179"}, {"ref": "thomasmeiner/ps3e23-probaboost", "kernel_id": "44073544"}, {"ref": "askboxnet/simple-baseline-stratifiedkfold-gaussiannb-etc", "kernel_id": "44503622"}, {"ref": "nattawutchamcheun/dsi311-predict-defects-in-c-programs", "kernel_id": "44646809"}, {"ref": "rachelmccarty/notebook4e18d16f06", "kernel_id": "44302394"}, {"ref": "imessam/binary-classification-with-a-software-defects-data", "kernel_id": "44888925"}, {"ref": "mawro73/example-training-nnxgboost-accuracy-86-top300", "kernel_id": "44397064"}, {"ref": "satyaraghav/binary-classification-in-software-defects-detect", "kernel_id": "44334490"}, {"ref": "mohammadahmar/pgs3e23", "kernel_id": "44921387"}, {"ref": "jimgruman/pss3e23-lightgbm", "kernel_id": "44019221"}, {"ref": "felipegonzalezurrego/project-ml-zoomcamp", "kernel_id": "44442157"}, {"ref": "vuppalaadithyasairam/software-defects-data-cleaning-eda", "kernel_id": "44550943"}, {"ref": "vuppalaadithyasairam/boosting-algorithms-for-software-defect-detection", "kernel_id": "44550259"}, {"ref": "matthewmaddock/ps-s3-e23-binary-classification-beginner", "kernel_id": "44334549"}, {"ref": "matthewmaddock/ps-s3-e23-gradient-boosting-model-selection", "kernel_id": "44758354"}, {"ref": "srsses/codedefects-using-neural-net", "kernel_id": "44358575"}, {"ref": "shuvojitdas/ps3e23-ydata-profiling", "kernel_id": "44721016"}, {"ref": "fathyalin/easy-approch-with-tensorflow-0-78581", "kernel_id": "44995885"}, {"ref": "deepanshugtm/defects-binary-classification", "kernel_id": "44836053"}, {"ref": "jamunaprasadyadav/notebookea7aed0fc5", "kernel_id": "44566010"}, {"ref": "bhatnagardaksh/predict-software-defects", "kernel_id": "44051284"}, {"ref": "m1y7k8/s3-e23-software-defects", "kernel_id": "44069386"}, {"ref": "smartpy/binary-classification-with-a-software-defects-data", "kernel_id": "44184455"}, {"ref": "smartpy/ensemble-weight-optimization", "kernel_id": "44394040"}, {"ref": "barbagrande007/bbg007-s3e23-softwaredefect", "kernel_id": "44016697"}, {"ref": "osamaakhaled/software-defects-eda-deep-nn-with-dropout", "kernel_id": "44087217"}, {"ref": "valerybonneau/ps-s3e23-eda-automl-and-ensemble", "kernel_id": "44009803"}, {"ref": "satyaprakashshukl/software-defects-classification-using-pycaret", "kernel_id": "44322006"}, {"ref": "satyaprakashshukl/neural-network-for-software-defect-cls", "kernel_id": "44096550"}, {"ref": "satyaprakashshukl/eda-software-defects", "kernel_id": "44095527"}, {"ref": "satyaprakashshukl/simple-ensemble", "kernel_id": "44003197"}, {"ref": "markusdarkus/my-very-easy-solution-for-0-78-score", "kernel_id": "44877317"}, {"ref": "emericjim/binary-tensorflow", "kernel_id": "44985748"}, {"ref": "pemyslbal/bisectingkmeans-and-featurewiz", "kernel_id": "44141311"}, {"ref": "umarzeinardhisiregar/software-defect", "kernel_id": "44631256"}, {"ref": "lusfernandotorres/s03e23-binary-classification-of-software-defects", "kernel_id": "44011950"}, {"ref": "pedroamavizca/predicting-software-defects", "kernel_id": "44291735"}, {"ref": "lordpatil/unbelievably-easy-lightgbm-hack", "kernel_id": "44226537"}, {"ref": "adityaparikh668/top-15-using-automl-that-s-so-easy", "kernel_id": "44403252"}, {"ref": "hemakarapu/binaryclassificationsoftwaredefectsdataset", "kernel_id": "44590231"}, {"ref": "ludwigsaux/how-to-use-lightgbm-to-predict-classification", "kernel_id": "44609743"}, {"ref": "wintersbae/playground-s3e23-software-defects-prediction", "kernel_id": "44196849"}, {"ref": "abhishekrp1517/ps-s3-ep-23-from-base-model-to-ann", "kernel_id": "44857630"}, {"ref": "snehalpawar22/feature-selection", "kernel_id": "44867477"}, {"ref": "iqmansingh/software-defect-ensemble-lgbm-sampling", "kernel_id": "44102493"}, {"ref": "siddhvr/ps-s3-e23-ensemble-two-diff-subs", "kernel_id": "44249608"}, {"ref": "siddhvr/ps-s3-e23-feature-selection-and-ensemble", "kernel_id": "44238442"}, {"ref": "aharneishabburu/binary-classification", "kernel_id": "44546886"}, {"ref": "yjsh2003/test1", "kernel_id": "44864674"}, {"ref": "muhannadmansour/ps3-23-eda-binary-classification", "kernel_id": "44038853"}, {"ref": "ryotapy/lightgbm-japnese-ver", "kernel_id": "44064751"}, {"ref": "nyinyeinaung/xgbclassifier-with-parameter-tuning-classification", "kernel_id": "44518828"}, {"ref": "zonwie/s13e23-supervised-models-gridsearchcv", "kernel_id": "44250842"}, {"ref": "patriciabrezeanu/s3e23-0-791976-cv-score-using-automl", "kernel_id": "44517728"}, {"ref": "musaalamdar/binary-classification", "kernel_id": "44985030"}, {"ref": "kunanonkongchatree/dsi-311", "kernel_id": "44771155"}, {"ref": "chokaewphonhan/ps3e23-moota", "kernel_id": "44941643"}, {"ref": "athakowitsop/notebook3898c739e3", "kernel_id": "44880141"}, {"ref": "athakowitsop/notebook3fa8154590", "kernel_id": "44662941"}, {"ref": "athakowitsop/notebook7c5492c305", "kernel_id": "44050416"}, {"ref": "athakowitsu/notebookd55c0897e3", "kernel_id": "44396803"}, {"ref": "tatsapoltamchauy/software-defect", "kernel_id": "44920388"}, {"ref": "wichaimacharoen/notebook3898c739e3", "kernel_id": "44878297"}, {"ref": "wichaimacharoen/notebookeeb555693d", "kernel_id": "44657567"}, {"ref": "sun12345678/dgfasdgdgad", "kernel_id": "44127315"}, {"ref": "sun12345678/33333", "kernel_id": "44777469"}, {"ref": "san2deep/baseline-model-score-79-9", "kernel_id": "44548436"}, {"ref": "yusuphmustaphaladi/simple-random-forest", "kernel_id": "44655295"}, {"ref": "sirintornphachai/dsi311-binary-classification", "kernel_id": "44049165"}, {"ref": "mahendra77/software-defects-prediction", "kernel_id": "44124144"}, {"ref": "kenjif/ps-3-23-auto-ml-blend-top-5-model-w-wrapper-method", "kernel_id": "44154512"}, {"ref": "kenjif/ps-3-23-hyperparameter-tuning-gradient-boosting", "kernel_id": "44152598"}, {"ref": "kotukw/pg-s03e23-software-defects-classification", "kernel_id": "44698709"}, {"ref": "maryamsoleimanialyar/binary-classification-with-a-software-defects-data", "kernel_id": "44913720"}, {"ref": "joncarmona/pruebas", "kernel_id": "44644595"}, {"ref": "shivamardeshna/software-defects-xgboost", "kernel_id": "44882830"}, {"ref": "hritwijkamble/feature-creation-for-linear-models", "kernel_id": "44599073"}, {"ref": "shivampal7722/software-defect-prediction", "kernel_id": "44031345"}, {"ref": "marcellchristianf/lightgbm-dart-0-78988", "kernel_id": "44220485"}, {"ref": "cybersimar08/software-defect-lgbm-and-optuna", "kernel_id": "44424127"}, {"ref": "muradpitafi/playground-series-software-defects", "kernel_id": "44619389"}, {"ref": "kranthikumar03/pg-s3e23-voting-classifier", "kernel_id": "44162546"}, {"ref": "sauravpandey11/complete-modelling-submission", "kernel_id": "44400753"}, {"ref": "sauravpandey11/simple-ann-based-solution", "kernel_id": "44930514"}, {"ref": "mr0106/bscsw", "kernel_id": "44579815"}, {"ref": "shivamsourav2002/kagglecompetitionswags", "kernel_id": "44224396"}, {"ref": "aaradhyabadal/must-rank-program-top-22-solution", "kernel_id": "44090535"}, {"ref": "boscojgarcias/binary-classification-nn", "kernel_id": "44795582"}, {"ref": "zizh3ngzhang/fnn-ipynb", "kernel_id": "44546799"}, {"ref": "zizh3ngzhang/xgb-ipynb", "kernel_id": "44551352"}, {"ref": "seojinpark2001/binary-classification-with-a-software-defects-data", "kernel_id": "44041877"}, {"ref": "vasiliie/ps3e23-top-1-well-structured-stacking-ensemble", "kernel_id": "44102415"}, {"ref": "prasadmeesala/software-defects-binary-classification-ann", "kernel_id": "44127892"}, {"ref": "natchaphonkamhaeng/binary-classification-with-a-software-defects", "kernel_id": "44156323"}, {"ref": "jamalghobrial/binary-classification-with-a-software-defects-data", "kernel_id": "44603484"}, {"ref": "natthaphongkalapua/dsi311-project", "kernel_id": "44720490"}, {"ref": "enricomanosperti/binary-classification-with-a-software-defects-data", "kernel_id": "44043664"}, {"ref": "brooklynmills/ps3e23", "kernel_id": "44066047"}, {"ref": "benzilla987/ps-s3-ep23-eda-modeling-submission", "kernel_id": "44236686"}, {"ref": "suphisaralimsuthakul/311-binary-classification", "kernel_id": "44949290"}, {"ref": "bampenpornsongoen/dsi311-binary-classification-ml", "kernel_id": "44694830"}, {"ref": "m000sey/ps-3-23-the-7-model-ensemble", "kernel_id": "44722077"}, {"ref": "trupologhelper/ps3e23-eda-just-catboost-params-optuna", "kernel_id": "44709816"}, {"ref": "danielgalili/binary-classification-with-a-software-defects", "kernel_id": "44368088"}, {"ref": "kritchayahiranno/dsi311", "kernel_id": "44964922"}, {"ref": "jrkhops/playground-s3e23", "kernel_id": "44251708"}, {"ref": "sabienn/software-defect-comp-notebook", "kernel_id": "44731595"}, {"ref": "wichayayeampuan/dsi311-predictiondefect", "kernel_id": "44965766"}, {"ref": "eishkaran/easiest-way-classifiers", "kernel_id": "44060655"}, {"ref": "getanmolgupta01/gradientboost", "kernel_id": "44881180"}, {"ref": "yunsuxiaozi/learn-svm-bivariate-analysis", "kernel_id": "44631219"}, {"ref": "yunsuxiaozi/ps3e23pca-dimensionality-reduction", "kernel_id": "44277139"}, {"ref": "psyreddy07/binaryclassification", "kernel_id": "44396592"}, {"ref": "debamritapaul/binary-classification-for-software-defects", "kernel_id": "44537691"}, {"ref": "neupane9sujal/s03e23-binary-classification-of-software-defects", "kernel_id": "44354659"}, {"ref": "swahajraza/binary-classification-playground", "kernel_id": "44778303"}, {"ref": "abhijit89kumar/eda-experimental-for-ps-s3-e23", "kernel_id": "44338296"}, {"ref": "nickkrikota/s3e23-simple-ensemble-and-feature-engineering", "kernel_id": "44729285"}, {"ref": "nargesdehghan/simple-logistic-regression-scratch", "kernel_id": "44973593"}, {"ref": "akshatsg/software-defects-h2o-cv-5-folds-0-79-auc", "kernel_id": "44847175"}, {"ref": "harshitajakiya/simplest-ann-approach", "kernel_id": "44809819"}, {"ref": "harshitajakiya/randomforest-defect-nodefect", "kernel_id": "44783913"}, {"ref": "swarnasridhar045/binary-classification-with-a-software-defects-19v", "kernel_id": "44287135"}, {"ref": "bertanpank/pss3e23-binary-classification-simple-approach", "kernel_id": "44666856"}, {"ref": "mostafakhaaled/binary-classification1", "kernel_id": "44937314"}, {"ref": "rukenmissonnier/tensorflow-for-software-defect-prediction", "kernel_id": "44006643"}, {"ref": "manikanthvempati/house-price-data", "kernel_id": "44637035"}, {"ref": "vinodkumargurjar/binary-classification-with-a-software-defects-data", "kernel_id": "44991183"}, {"ref": "sayedshaun/binary-classification-with-a-software-defects-data", "kernel_id": "44885205"}, {"ref": "eduardomarinho44/software-defects-detect-competition", "kernel_id": "44660960"}, {"ref": "areekuchvrakhde/neuralnetworks", "kernel_id": "44670873"}, {"ref": "coinshot/software-defects-model", "kernel_id": "44072206"}, {"ref": "rfeng12/simple-customizable-nn", "kernel_id": "44052325"}, {"ref": "manuiaccarino/ps-s3e23", "kernel_id": "44049781"}, {"ref": "harshadahadavale/software-defects-classifier", "kernel_id": "44566101"}, {"ref": "soyabulislamlincoln/defect-classification-data-norm-and-dl", "kernel_id": "44611402"}, {"ref": "muntasirfahimniloy/software-defect-classification", "kernel_id": "44534361"}, {"ref": "tejjusbhat/binary-classification-of-software-defects", "kernel_id": "44596990"}, {"ref": "many37/37many-binary-classification-with-a-software-defec", "kernel_id": "44208038"}, {"ref": "karanprinja/neural-network-classification", "kernel_id": "44596847"}, {"ref": "arsalannezhadfard/an-defects-datasets", "kernel_id": "44145679"}, {"ref": "commentsm/keras-software-classification", "kernel_id": "44456821"}, {"ref": "weichens/ps3e23-basic-approach-model", "kernel_id": "44960775"}, {"ref": "anamibnjafar0/software-defect-detection", "kernel_id": "44854624"}, {"ref": "mainscientist/ps-s3e23", "kernel_id": "44715481"}, {"ref": "respectableghoda/binary-classification", "kernel_id": "44640997"}, {"ref": "yldzburhan/ps-s3-e23-software-defects", "kernel_id": "44187309"}, {"ref": "armanzhalgasbayev/pss3-e23-software-defects-binary-classification", "kernel_id": "44183215"}, {"ref": "yazeedalsahouri03/binary-classification-with-a-software-defects", "kernel_id": "44880418"}, {"ref": "tatsatsingh/ensemble-model-beginner-friendly", "kernel_id": "44293018"}, {"ref": "dwsstudio/defect-classification-with-keras", "kernel_id": "44300343"}, {"ref": "jaythanki18/binary-classification-code-jay", "kernel_id": "44765346"}, {"ref": "skang88/binary-classification-with-a-software-defects", "kernel_id": "44071806"}, {"ref": "ganjubas2008/minimalistic-weighted-ensemble", "kernel_id": "44877359"}, {"ref": "rizal1015/binary-classification-playground", "kernel_id": "44703692"}, {"ref": "rizal1015/random-forest-binnary-classifier", "kernel_id": "44765298"}, {"ref": "imtommi/hyperparameter-search", "kernel_id": "44085695"}, {"ref": "urbanspr1nter/binary-classification-with-software-defects-data", "kernel_id": "44154786"}, {"ref": "maxmarriottclarke/ps-s3-e23-binary-classification", "kernel_id": "44973853"}, {"ref": "vinithaek/software-defects-prediction", "kernel_id": "44968780"}, {"ref": "hassaneskikri/software-defect-classifier", "kernel_id": "44148220"}, {"ref": "eastonlarson/binary-classification", "kernel_id": "44227599"}, {"ref": "jgacho/started-with-software-defects", "kernel_id": "44082255"}, {"ref": "codyjanderson/binary-classification-notebook", "kernel_id": "44727689"}, {"ref": "mariodelacruzjr/bcsdd", "kernel_id": "44659720"}, {"ref": "heman2004/software-defects-with-deep-learning", "kernel_id": "44698361"}, {"ref": "joseelisei/defect-classifier-comp", "kernel_id": "44067710"}, {"ref": "minhsienweng/software-defects-ensemble-of-models", "kernel_id": "44320173"}, {"ref": "minhsienweng/ensemble-of-7-models-clusters-of-features", "kernel_id": "44977923"}, {"ref": "extr3mum/lgbm-tuning", "kernel_id": "44563245"}, {"ref": "js1js2js3js4js5/defects-predictions", "kernel_id": "44029806"}, {"ref": "pathanamama/playground-s3e2", "kernel_id": "44137434"}, {"ref": "sharmadeepankaj/binaryclassification", "kernel_id": "44509391"}, {"ref": "lakshmiaditikumar/feature-engineering-try-to-params-2-3-4", "kernel_id": "44869075"}, {"ref": "lakshmiaditikumar/ps3e23-eda-feature-engineering-ensemble", "kernel_id": "44869089"}, {"ref": "sarunpm/outlier-management-linear-plot", "kernel_id": "44684113"}, {"ref": "sfdjusadfu/sadfoswadkaf", "kernel_id": "44502458"}, {"ref": "sfdjusadfu/222222", "kernel_id": "44773923"}, {"ref": "sfdjusadfu/44444", "kernel_id": "44837058"}, {"ref": "mifuxos/mifux", "kernel_id": "44400964"}, {"ref": "rohanthoma/pgs3e23-random-forest-variations-0-78843", "kernel_id": "44549932"}, {"ref": "nisargrpatel/nisarg-patel-binary-classification-code", "kernel_id": "44947174"}, {"ref": "vishvdipumat/notebook027fe35f65", "kernel_id": "44951589"}, {"ref": "adaubas/pss3e23-parallel-hill-climbing-and-cv", "kernel_id": "45128940"}, {"ref": "rahuljain788/binary-classification-with-a-software-defects", "kernel_id": "45887785"}, {"ref": "stpeteishii/software-defects-xgb-with-optuna", "kernel_id": "45245679"}, {"ref": "stpeteishii/software-defects-catboost-with-optuna", "kernel_id": "45246901"}, {"ref": "stpeteishii/software-defects-models-scipy-ensemble", "kernel_id": "45289971"}, {"ref": "stpeteishii/software-defects-models-optuna-ensemble", "kernel_id": "45329128"}, {"ref": "aniskhan25/playground-series-s03e23", "kernel_id": "45132192"}, {"ref": "sohaibwael/fighting-with-dirty-data-using-multiple-techs", "kernel_id": "45011069"}, {"ref": "lonnieqin/logistic-regression-model-from-scratch", "kernel_id": "45020747"}, {"ref": "khalidhabiburahman/nyobian-sakedik-hehe", "kernel_id": "45020379"}, {"ref": "rafaelmagnusson/softwaredefectsver1-0", "kernel_id": "45015112"}, {"ref": "fnushashank/binary-defect", "kernel_id": "45034706"}, {"ref": "emericjim/02-play", "kernel_id": "45023158"}, {"ref": "kawsarahmad/binary-classification-with-a-software-defects-data", "kernel_id": "45919361"}, {"ref": "laviekinn/modelling-146498", "kernel_id": "45717476"}, {"ref": "mahmoudghareeb/pg-s03e23-attention-is-all-you-need", "kernel_id": "45663015"}, {"ref": "manasvijaipurkar/binary-prediction", "kernel_id": "45151106"}, {"ref": "athakowitsop/simple-ensemble-based-solution", "kernel_id": "45000499"}, {"ref": "athakowitsop/complete-modelling-submission", "kernel_id": "45020072"}, {"ref": "athakowitsop/dsi311", "kernel_id": "45931477"}, {"ref": "wichaimacharoen/notebook42c7f5f345", "kernel_id": "45541980"}, {"ref": "teeravisitjinnarat/ann-baki", "kernel_id": "45019452"}, {"ref": "phantiramananta/hidailao01", "kernel_id": "45027051"}, {"ref": "chanchakornyapao/311-p-e683e9", "kernel_id": "45724337"}, {"ref": "kanishk026/ensemble-logr-xgb-lgbm-hgbc", "kernel_id": "45048530"}, {"ref": "s528661/nov3binclass", "kernel_id": "45592281"}, {"ref": "thangaprabhu/notebook6d2429354f", "kernel_id": "45007474"}, {"ref": "aymansaber/s3e23-rf-ayn", "kernel_id": "45373979"}, {"ref": "kumudithasilva/ps-s3e23-robustscaler-ensemble-medianpruner", "kernel_id": "45155465"}, {"ref": "nikku2611/software-defects-prediction-dataset", "kernel_id": "45027977"}, {"ref": "irahkihdadiwas/software-defects-mi-voting-ensemble", "kernel_id": "45072273"}, {"ref": "sarunpm/binary-classification-randomforest-0-815899", "kernel_id": "45045682"}, {"ref": "aayushsharmacse/binary-classification-with-a-software-defects-data", "kernel_id": "45454049"}, {"ref": "rsesha/defect-classification-with-featurewiz", "kernel_id": "46987513"}, {"ref": "jaci24/playground-series-s3e23-software-defects", "kernel_id": "46447477"}, {"ref": "nazhifkojaz/software-defects-random-forest", "kernel_id": "46066156"}, {"ref": "samiratpadkar/software-defect-classification", "kernel_id": "46689229"}, {"ref": "rayatorr/software-defect-dataset", "kernel_id": "46539508"}, {"ref": "rsesha/defect-classification-variational-auto-encoders", "kernel_id": "47041410"}, {"ref": "iqbalsyahakbar/ps3e26-cirrhosis-classification-for-beginners", "kernel_id": "47326556"}, {"ref": "aryansingh0909/tps-s3e23", "kernel_id": "47995062"}, {"ref": "mdismielhossenabir/binary-classification-with-a-software-defects-data", "kernel_id": "48868708"}, {"ref": "hayrafabriguimaraes/version-one", "kernel_id": "48936536"}, {"ref": "cheesegue/eda-software", "kernel_id": "48550229"}, {"ref": "rsesha/binary-defect-classification-with-featurewiz", "kernel_id": "49835216"}, {"ref": "rsesha/defect-classification-vae-and-iterative-classifier", "kernel_id": "49930535"}, {"ref": "architkane/binary-classification-with-a-software-defects-data", "kernel_id": "49947143"}, {"ref": "dhruv5775/dhruv-5775", "kernel_id": "49736156"}, {"ref": "chiragmohangupta/binary-classification-with-a-software-defects-data", "kernel_id": "49738267"}, {"ref": "pritishpriyam4/software-defects", "kernel_id": "49709298"}, {"ref": "himanshu230/notebooka5bbeff2c3", "kernel_id": "49593571"}, {"ref": "mayankgupta9/notebook3094a2240b", "kernel_id": "49595259"}, {"ref": "stutimittal11/kaggle3", "kernel_id": "49824113"}, {"ref": "sirishasingla1906/software-defect-data", "kernel_id": "49735037"}, {"ref": "chanchal24/ps3e23", "kernel_id": "50824042"}, {"ref": "sanyamgoyal401/binary-classification-software-defect-dataset", "kernel_id": "50106836"}, {"ref": "hardikgarg03/software-defects-using-randomforest-xgboost-lgbm", "kernel_id": "50492227"}, {"ref": "natapelysynka/software-defects-keras-nn-classification-models", "kernel_id": "50940956"}, {"ref": "ojaswanib/binary-classification-oj", "kernel_id": "50911349"}, {"ref": "ramjaslangdi/softwaredefectsbinaryclassifiaction", "kernel_id": "50465294"}, {"ref": "samarjeet09/s3e23-bin-classification-log-transform-ensemble", "kernel_id": "50110483"}, {"ref": "mannatsadana/software-defects-binary-classification", "kernel_id": "50099846"}, {"ref": "qubebox/pgs3e23", "kernel_id": "50106256"}, {"ref": "shreypachauri123/software-defect-prediction", "kernel_id": "50788854"}, {"ref": "shreypachauri123/notebookcd49c75b92", "kernel_id": "50141464"}, {"ref": "kkamal2003/binary-classification-with-a-software-defects-data", "kernel_id": "50854597"}, {"ref": "arshiyakishore/softwaredefectsbinaryclassification-arshiya", "kernel_id": "50092279"}, {"ref": "prabhdeep123/software-defect-prediction", "kernel_id": "50855657"}, {"ref": "ashish32700/softwaredefects", "kernel_id": "50829223"}, {"ref": "garvitmadaan/binary-classification-with-a-software-defects-data", "kernel_id": "50114935"}, {"ref": "navjotkaur1312/binary-classification-with-software-defects", "kernel_id": "50099120"}, {"ref": "priyalsingla/binary-classification-with-a-software-defects", "kernel_id": "50202501"}, {"ref": "richika11/binary-classification", "kernel_id": "50498835"}, {"ref": "khyatimunjal/binary-classification-with-a-software-defects-data", "kernel_id": "50499479"}, {"ref": "rijuljain2003/softwaredefectsbinaryclassifiaction-rijul", "kernel_id": "50112224"}, {"ref": "aashimbansal/software-defects-aashim", "kernel_id": "50112223"}, {"ref": "prachik2/softwaredefectsbinaryclassification", "kernel_id": "50765298"}, {"ref": "rajneesh231/software-defect-prediction", "kernel_id": "50699410"}, {"ref": "dhruvsinghchauhan01/software-defect", "kernel_id": "50811205"}, {"ref": "thaparrishav/softwaredefects-gradientboostingclassifier", "kernel_id": "50499107"}, {"ref": "aayushibareja/notebook85a708e5a9", "kernel_id": "50500050"}, {"ref": "sakshigoyal001/softwaredefect", "kernel_id": "50104152"}, {"ref": "aarushikamboj/software-defects", "kernel_id": "50740100"}, {"ref": "dubeyarpit/notebook503dfe6266", "kernel_id": "50837174"}, {"ref": "yatinkundra666/tryingoutdl", "kernel_id": "50462723"}, {"ref": "mahendra301/software-defects-prediction-decisiontreeclassifier", "kernel_id": "51095485"}, {"ref": "harleenkaurdeora/software-defects", "kernel_id": "51519569"}, {"ref": "nitleenk/software-defects", "kernel_id": "51508602"}, {"ref": "salonijaroli/software-detects", "kernel_id": "51482606"}, {"ref": "jalenbanfill/binary-classification-with-voting-classifier", "kernel_id": "51422813"}, {"ref": "raghav723/binary-classification-software-defect-dataset", "kernel_id": "51626976"}, {"ref": "raghavdargan/binary-classification-with-a-software-defects-data", "kernel_id": "51018008"}, {"ref": "rushaliny/software-defects-dataset-using-ensemble-methods", "kernel_id": "51456091"}, {"ref": "kartikye10/binary-classification-with-a-software-defects", "kernel_id": "51063900"}, {"ref": "aradhakkandhari/software-defects-lgbm-xgboost", "kernel_id": "51079882"}, {"ref": "priyanshu54200/software-defects-dataset-ps", "kernel_id": "51407691"}, {"ref": "simarjeetsingh11/ps-s3-ep23-eda-modeling-submission", "kernel_id": "51080696"}, {"ref": "simarjeetsingh11/notebook930ba41f88", "kernel_id": "51080707"}, {"ref": "hrshbachan3/binaryclassifier-softwaredefectsdataset-gbc", "kernel_id": "51479354"}, {"ref": "whitecanvas/binary-classification-with-a-software-defects-test", "kernel_id": "52839302"}, {"ref": "vivekmotwani1410/s3e23-a-guide-for-pycaret", "kernel_id": "53334979"}, {"ref": "makuiky/playground-s3e23bc-with-a-software-defects-dataset", "kernel_id": "54343031"}, {"ref": "manmeetkaursidhu/binary-classification-with-a-software-defects-data", "kernel_id": "54604305"}, {"ref": "anadyasahai/software-defects-anadya", "kernel_id": "54514777"}, {"ref": "yatharthgautam123789/software-defects", "kernel_id": "54186239"}, {"ref": "tanishas2024/software-defects-binary-classification", "kernel_id": "54711396"}, {"ref": "zaidali11/software-defects-81-acu-eda-fe", "kernel_id": "55313872"}, {"ref": "ishanmathurkaggle28/notebookb343bbb1a5", "kernel_id": "58049479"}, {"ref": "ssyyhh/eda-of-defects-with-prediction-xgbrrgressor", "kernel_id": "60062311"}, {"ref": "alperugurca/binary-classification-with-a-software-defects-data", "kernel_id": "69648876"}, {"ref": "senasudemir/software-defects-prediction", "kernel_id": "76859561"}, {"ref": "ugurcan95/software-defect-detection", "kernel_id": "80726843"}, {"ref": "robicodex18/csoftwaredefect-syntheticdataset", "kernel_id": "80670171"}, {"ref": "manikantaviswa/software-defects-prediction-catgbm-classifier", "kernel_id": "105882306"}, {"ref": "zqx960151285/binary-classification-with-a-software-defects-data", "kernel_id": "130059227"}]}
{"competition_id": "60891", "kernels": [{"ref": "kdmitrie/pgs324-the-tutorial-on-using-autogluon", "kernel_id": "40551346"}, {"ref": "alexryzhkov/smoking-lama-lightautoml-baseline", "kernel_id": "45058895"}, {"ref": "alexryzhkov/be-careful-with-auc", "kernel_id": "45117018"}, {"ref": "alexryzhkov/models-compositions-example", "kernel_id": "45405335"}, {"ref": "alexryzhkov/lb-0-88048-simple-smoking-ensemble", "kernel_id": "45740417"}, {"ref": "christph/r-h2o-automl", "kernel_id": "45152862"}, {"ref": "paddykb/pg-s3e24-brute-force-and-ignorance", "kernel_id": "45535803"}, {"ref": "jankuper192/smoking-bio-signals", "kernel_id": "45227138"}, {"ref": "cv13j0/efficient-prediction-of-smoker-status", "kernel_id": "45043302"}, {"ref": "cv13j0/a-neuronal-prediction-of-smoker-status", "kernel_id": "45445008"}, {"ref": "psydelix/smoker-status-eda-baseline-prediction", "kernel_id": "45683529"}, {"ref": "dima806/s3e24-catboost-ensemble-hill-climbing", "kernel_id": "45680237"}, {"ref": "dima806/s3e24-smoker-predict-misclassification-search", "kernel_id": "45222049"}, {"ref": "dima806/s3e24-catboost-optuna-skf-topmisclass-pseudolabels", "kernel_id": "45058058"}, {"ref": "xpehutta/outliers-detection-grid-transformers", "kernel_id": "45061570"}, {"ref": "xpehutta/tabnet-quick-solution", "kernel_id": "45200035"}, {"ref": "xpehutta/fastai-bayesian-optimization", "kernel_id": "45202621"}, {"ref": "abramova/ps3-e24-quick-and-simple-run-of-multiple-models", "kernel_id": "45055102"}, {"ref": "ianchute/box-cox-naive-bayes", "kernel_id": "45104925"}, {"ref": "ianchute/box-cox-logistic-regression", "kernel_id": "45102734"}, {"ref": "ianchute/5-minute-smoking-model", "kernel_id": "45235479"}, {"ref": "ianchute/bivariate-svm-gtp-hemo-age", "kernel_id": "45575017"}, {"ref": "lucabasa/binary-prediction-of-smoker-status", "kernel_id": "45107072"}, {"ref": "lucabasa/hyperparameters-tuning-how-to-waste-time", "kernel_id": "45131096"}, {"ref": "strawhatdragon/ps3e24-catboost-v2", "kernel_id": "45841712"}, {"ref": "atsassin/xgboost-some-feature-engineering", "kernel_id": "45947021"}, {"ref": "mukul74/estimation-of-smoking-probability-s3e24", "kernel_id": "45329626"}, {"ref": "docxian/ps-s3-e24-smoker-status-nn-autogluon", "kernel_id": "45123709"}, {"ref": "qwerty29544/smoki", "kernel_id": "45048547"}, {"ref": "abdrah/gridsearch-ensemble-submission-starter", "kernel_id": "45433673"}, {"ref": "oscarm524/ps-s3-ep24-eda-modeling-submission", "kernel_id": "45040752"}, {"ref": "kimtaehun/deep-learning-binary-classification-template", "kernel_id": "45047915"}, {"ref": "kimtaehun/comprehensive-eda-to-xgboost-a-prediction", "kernel_id": "45039617"}, {"ref": "viji1609/pgs-s3e24-tfdf-r1", "kernel_id": "45045711"}, {"ref": "chestadhingra/eda-fe-cv-ensemble", "kernel_id": "45942483"}, {"ref": "joebeachcapital/pss3e24-eda-starter-model-submission", "kernel_id": "45037512"}, {"ref": "chiranjeevisrinivas/pg-series-s3e24", "kernel_id": "45040392"}, {"ref": "hubert101/pg-s03e24-your-universal-data-visualization-pipe", "kernel_id": "45069554"}, {"ref": "mukund23/pss3e24-eda-xgboost", "kernel_id": "45057921"}, {"ref": "tamsquare/binary-prediction-of-smoker-status", "kernel_id": "45272099"}, {"ref": "bill2bill/s03e24-keras-nn", "kernel_id": "45124954"}, {"ref": "bustedplayer/smoking", "kernel_id": "45725328"}, {"ref": "yakinoki/kolmogorov-smirnov", "kernel_id": "45299692"}, {"ref": "datanalystbiju/lightgms-simple-model-direct", "kernel_id": "45506070"}, {"ref": "ayhampar/voting-3-classifiers-add-original-dataset", "kernel_id": "45641916"}, {"ref": "stpeteishii/ps3e24-histplot", "kernel_id": "45040698"}, {"ref": "stpeteishii/ps3e24-visualize-importance", "kernel_id": "45066370"}, {"ref": "stpeteishii/smoker-status-prediction-lgbm-with-optuna", "kernel_id": "45620404"}, {"ref": "stpeteishii/smoker-status-predict-models-optuna-ensemble", "kernel_id": "45620421"}, {"ref": "stpeteishii/smoker-status-prediction-catboost-with-optuna", "kernel_id": "45620425"}, {"ref": "stpeteishii/smoker-status-prediction-xgb-with-optuna", "kernel_id": "45620431"}, {"ref": "lasm1984/p3e24-profilereport-pca-fnn-and-kerastuner", "kernel_id": "45130982"}, {"ref": "maxim9012/playground-series-s3e24", "kernel_id": "45271789"}, {"ref": "anzarwani2/getting-started", "kernel_id": "45052040"}, {"ref": "anzarwani2/playground-series-s3-e24-xgboost", "kernel_id": "45064820"}, {"ref": "mpwolke/liver-enzymes-ast-alt-gt-smoking", "kernel_id": "45135242"}, {"ref": "mpwolke/smoking-effect-on-oral-health", "kernel_id": "45037570"}, {"ref": "syerramilli/ps3e24-pytorch-tabular-resnet", "kernel_id": "45278572"}, {"ref": "syerramilli/ps3e24-pytorch-fnn", "kernel_id": "45222668"}, {"ref": "syerramilli/ps3e24-xgboost-for-predicting-smoking-status", "kernel_id": "45075687"}, {"ref": "mvoulo/smoker-status-prediction", "kernel_id": "45438840"}, {"ref": "aniskhan25/playground-series-s03e24", "kernel_id": "45134608"}, {"ref": "brukselka/prediction-of-smoker-status-starter", "kernel_id": "45349134"}, {"ref": "selfmade95/classify", "kernel_id": "45540116"}, {"ref": "carljvh/smoking-classifier-using-random-trees", "kernel_id": "45915154"}, {"ref": "rainrein/project3-smoke-prediction", "kernel_id": "45396175"}, {"ref": "rakeshku1993/eda-and-base-line-model-roc-0-85", "kernel_id": "45044367"}, {"ref": "tejeshsai555/binary-prediction-with-randomforestregressor", "kernel_id": "45490511"}, {"ref": "p7476762/regression-classification-model-s-compare", "kernel_id": "45680783"}, {"ref": "aiotsir/smoking-competition-lgbm", "kernel_id": "45648711"}, {"ref": "amgedelshiekh/detailed-eda-feature-engineering-ml-dl", "kernel_id": "45412417"}, {"ref": "sibangibhowmick/eda-prediction-smoking", "kernel_id": "45113011"}, {"ref": "mexwell/s03e24-eda-and-lightgbm", "kernel_id": "45046749"}, {"ref": "keitashimizu21/en-ja-eda-and-feature-creation-of-smoker-status", "kernel_id": "45558263"}, {"ref": "santiagoormando/simple-deep-learning-model-tutorial", "kernel_id": "45048015"}, {"ref": "yashasvimisra/smoker-status-prediction", "kernel_id": "45354783"}, {"ref": "sytuannguyen/smoker-status-prediction-using-bio-signals", "kernel_id": "45038051"}, {"ref": "akioonodera/ps-3-24-lgbm-bin", "kernel_id": "45037445"}, {"ref": "kdmitrie/pgs324-the-tutorial-on-using-h2o-automl", "kernel_id": "45058391"}, {"ref": "debopamdas/sempai-notice-me", "kernel_id": "45806486"}, {"ref": "nartaa/smoking-classifier", "kernel_id": "45132596"}, {"ref": "lonewalker29/votingclassifier-xgb-lgbm-catboost-gridsearch", "kernel_id": "45332474"}, {"ref": "yeonseokcho/smoking-status-prediction-using-biosignals", "kernel_id": "45277042"}, {"ref": "lonnieqin/smoker-status-prediction-with-lgbm-and-optuna", "kernel_id": "45132587"}, {"ref": "lonnieqin/smoker-status-prediction-with-flaml", "kernel_id": "45307263"}, {"ref": "lonnieqin/s3e24-cnn-dnn", "kernel_id": "45700104"}, {"ref": "synchrocyclotron/simple-catboost-0-87", "kernel_id": "45061375"}, {"ref": "hopesb/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "45476034"}, {"ref": "ananth360/smoker-prediction-eda-pipelines-xgboost", "kernel_id": "45608419"}, {"ref": "edilsoncastro/smoker-status-using-bio-signals", "kernel_id": "45080545"}, {"ref": "shivamsharma00/a-survey-on-decision-trees", "kernel_id": "45767656"}, {"ref": "jirkaborovec/smoker-classif-eda-pytorch-models", "kernel_id": "45636593"}, {"ref": "jirkaborovec/smoker-classif-eda-xgboost-gpu", "kernel_id": "45424237"}, {"ref": "bkowshik/automl-with-h2o-predict-smoking-status", "kernel_id": "45337001"}, {"ref": "rahulcris07/catboost-auc-0-87-for-smoking-classification", "kernel_id": "45821427"}, {"ref": "monajannesar/notebookcf762b7ee9", "kernel_id": "45539140"}, {"ref": "tracyporter/play-3-24-jax-linear-reression", "kernel_id": "45081958"}, {"ref": "tracyporter/play-3-24-jax-linear-regression-scale", "kernel_id": "45105714"}, {"ref": "tracyporter/play-3-24-jax-regression-nn", "kernel_id": "45216144"}, {"ref": "tracyporter/play-3-24-jax-linear-regression-no-norm", "kernel_id": "45632001"}, {"ref": "tracyporter/play-3-24-jax-linear-regression-norm", "kernel_id": "45631393"}, {"ref": "tracyporter/play-3-24-jax-linear-regression-clip", "kernel_id": "45593970"}, {"ref": "tracyporter/play-3-24-jax-linear-regression-w-b", "kernel_id": "45423945"}, {"ref": "franklinshih0617/out-of-bag-random-forest-model", "kernel_id": "45548759"}, {"ref": "satishpb/predict-smoker-status", "kernel_id": "45935910"}, {"ref": "nakashi120/stacking-classifier-binary-prediction-of-smoker", "kernel_id": "45336137"}, {"ref": "anushkrishna/automl", "kernel_id": "45763775"}, {"ref": "sivunzimeni/2023-smoking-binary-classification", "kernel_id": "45298958"}, {"ref": "nursyahrina/smoking-prediction-tf-df-with-eda-and-fe", "kernel_id": "45909748"}, {"ref": "asheniranga/eda-prediction-submission", "kernel_id": "45061649"}, {"ref": "abdullaharean/simple-neural-network-test", "kernel_id": "45191218"}, {"ref": "jesusenriqueescobedo/lostios-binarypred-smokerstat", "kernel_id": "45701235"}, {"ref": "thomasmeiner/ps3e24-clustering-classifier-using-rapids-in-secs", "kernel_id": "45308888"}, {"ref": "thomasmeiner/ps3e24-clustering-classifier-using-rapids-cv", "kernel_id": "45331207"}, {"ref": "thomasmeiner/ps3e24-regression-via-vowpal-wabbit", "kernel_id": "45335834"}, {"ref": "thomasmeiner/ps3e24-regression-via-random-forest-regressor", "kernel_id": "45336423"}, {"ref": "thomasmeiner/ps3e24-tree-model-embeddings-lr", "kernel_id": "45388223"}, {"ref": "thomasmeiner/ps3e24-plotting-different-t-sne-plots", "kernel_id": "45567198"}, {"ref": "thomasmeiner/ps3e24-sorting-is-the-algorithm", "kernel_id": "45618323"}, {"ref": "thomasmeiner/ps3e24-lgbm-tuned", "kernel_id": "45576978"}, {"ref": "thomasmeiner/ps3e24-probaboost", "kernel_id": "45094281"}, {"ref": "thomasmeiner/ps3e24-bluecast-eda-automl-tracking", "kernel_id": "45044623"}, {"ref": "thomasmeiner/ps3e24-sklearn-autotuned", "kernel_id": "45273735"}, {"ref": "thomasmeiner/ps3e24-causal-inference-using-dowhy-not-working", "kernel_id": "45295410"}, {"ref": "thomasmeiner/ps3e24-xgboost-lgbm-histgb", "kernel_id": "45797721"}, {"ref": "thomasmeiner/ps3e24-bluecast-eda-automl-v0-72", "kernel_id": "45705619"}, {"ref": "radturkin/binary-prediction-of-smoker-status-v1", "kernel_id": "45381790"}, {"ref": "radturkin/binary-prediction-of-smoker-status-final", "kernel_id": "45773332"}, {"ref": "askboxnet/lightgbm-stratifiedkfold-binary-prediction", "kernel_id": "45350495"}, {"ref": "mrmarvels30/smoki-re", "kernel_id": "45103296"}, {"ref": "ahirao/playground-s3-24-eda-and-baseline-simple-lightgbm", "kernel_id": "45335570"}, {"ref": "betlbaak/binary-prediction-of-smoker-status-comparison", "kernel_id": "45592191"}, {"ref": "abnerfreitas/play-s3e24-smoker-status-binary-prediction", "kernel_id": "45083144"}, {"ref": "imessam/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "45827243"}, {"ref": "amulyas/ps3e24-dsc1-eda-feature-engineering-modeling", "kernel_id": "45763122"}, {"ref": "zhukovoleksiy/ps-s3e24-smoker-status-predictions", "kernel_id": "45131000"}, {"ref": "mawro73/easy-notebook-86-auc-score-with-catboots", "kernel_id": "45171374"}, {"ref": "smmike/ps3e24-eda-feature-engineering-ensemble", "kernel_id": "45927923"}, {"ref": "setyoab/simple-smoker-prediction-using-xgboost", "kernel_id": "45071045"}, {"ref": "xxxxyyyy80008/smoker-status-prediction-lightgbm-baseline-no-fe", "kernel_id": "45928928"}, {"ref": "mcpenguin/ps3e24-baseline", "kernel_id": "45039631"}, {"ref": "pohzixiang/ps3e24-prediction-with-xgboost", "kernel_id": "45047747"}, {"ref": "hikmatullahmohammadi/smoking-status-feature-engineering-tf-keras", "kernel_id": "45444551"}, {"ref": "alkanerturan/smokingstatus", "kernel_id": "45270236"}, {"ref": "shadeer/smoker-status", "kernel_id": "45603021"}, {"ref": "pramodiasuka/smokepred-with-lgbm", "kernel_id": "45839204"}, {"ref": "jimgruman/smoking", "kernel_id": "45038800"}, {"ref": "kunalbainsla/smoke-signal-predictor", "kernel_id": "45890181"}, {"ref": "edoardobianchi/ensembling-optuna-score-0-875", "kernel_id": "45107144"}, {"ref": "amitvikramraj/solution-binary-prediction-of-smoker-status", "kernel_id": "45382441"}, {"ref": "jocelyndumlao/smoking-prediction-from-dental-caries-age", "kernel_id": "45101589"}, {"ref": "jocelyndumlao/smoker-status-prediction-with-roc-auc", "kernel_id": "45050371"}, {"ref": "adwaitkesharwani/a-simple-catboost-notebook-with-cross-validation", "kernel_id": "45337484"}, {"ref": "remoanil/smoking-prediction-with-explanation", "kernel_id": "45757731"}, {"ref": "rafaelmagnusson/smoking-status-for-beginers-randomforest", "kernel_id": "45092540"}, {"ref": "srsses/binary-prediction-of-smoker-status", "kernel_id": "45046308"}, {"ref": "tuhinm2002/binary-pred-smoker-eda", "kernel_id": "45312491"}, {"ref": "robertoganyan/stacking", "kernel_id": "45536556"}, {"ref": "yeehawww/binary-prediction-of-smoker", "kernel_id": "45247456"}, {"ref": "piyushjoshi01/ps-s3-ep24-eda-lgb-catboost", "kernel_id": "45757478"}, {"ref": "fathyalin/starter-notebook-optuna-pycaret", "kernel_id": "45159308"}, {"ref": "ryanml2/mum-said-smoking-was-bad", "kernel_id": "45063741"}, {"ref": "fnushashank/smoker-status-prediction-sh-lgbm", "kernel_id": "45949644"}, {"ref": "fnushashank/smoker-prediction", "kernel_id": "45185641"}, {"ref": "skullking2596/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "45819944"}, {"ref": "thomaswrightanderson/ps3e24-binary-prediction-of-smoker-status", "kernel_id": "45177470"}, {"ref": "barbagrande007/bbg007-s3e24-smoking", "kernel_id": "45099074"}, {"ref": "prajwaldongre/smoker-status-adv-eda-rdmforest-roc-0-85", "kernel_id": "45046949"}, {"ref": "osamaakhaled/predictions-of-smoker-status-eda-nn", "kernel_id": "45160422"}, {"ref": "galaxyinfernocodes/explore-data-basic-decision-tree-0-69", "kernel_id": "45478292"}, {"ref": "daniellebagaforomeer/smoker-status-prediction-voting-and-stacking-clf", "kernel_id": "45356547"}, {"ref": "valerybonneau/ps-s3e24-eda-automl-and-ensemble-models", "kernel_id": "45037471"}, {"ref": "satyaprakashshukl/simple-ensemble-boost", "kernel_id": "45336557"}, {"ref": "satyaprakashshukl/dataprep-eda-se24", "kernel_id": "45332812"}, {"ref": "satyaprakashshukl/nn-prediction-smoker-status", "kernel_id": "45691932"}, {"ref": "rm1000/s03e24-decision-tree-classifier", "kernel_id": "45087141"}, {"ref": "ravi20076/playgrounds3e24-eda-baseline", "kernel_id": "45042817"}, {"ref": "raohamzatariq/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "45097098"}, {"ref": "beltrancastro/smokerprediction-xgb-lgbm-catboost-hyperopt", "kernel_id": "45982747"}, {"ref": "itsmegood/simple-prediction-using-auto-keras", "kernel_id": "45871977"}, {"ref": "rakgyunim/real-simple-baseline", "kernel_id": "45798961"}, {"ref": "sharif8410/binaryclassification-tree-based-ensemble-models", "kernel_id": "45489753"}, {"ref": "ridwanakmal/fast-stacking-baseline-rf-xgb-lgbm-just-2-min", "kernel_id": "45561742"}, {"ref": "klyushnik/smoker-death", "kernel_id": "45058513"}, {"ref": "mikhailbykov/bykov-yurchenkov-smoki", "kernel_id": "45266787"}, {"ref": "bryamblasrimac/classification-smoking-eda-recall-89", "kernel_id": "45088986"}, {"ref": "lordpatil/very-simple-lightgbm", "kernel_id": "45047922"}, {"ref": "abdurrahmansyafiqi/smoker-status-prediction-catboost-w-auc-0-86490", "kernel_id": "45748101"}, {"ref": "joachimandre/smoker-prediction-auc-0-83", "kernel_id": "45399392"}, {"ref": "adityaparikh668/evalml-top-10-solution", "kernel_id": "45657121"}, {"ref": "wintersbae/playground-s3e24-smoker-prediction", "kernel_id": "45396577"}, {"ref": "abhishekrp1517/ps-s3-e24-automl-with-h2o", "kernel_id": "45493843"}, {"ref": "abhishekrp1517/ps-s3-e24-from-baseline-to-ensemble", "kernel_id": "45131916"}, {"ref": "syeshwanth/smoking-classification-eda-outlier-removal-pca", "kernel_id": "45885191"}, {"ref": "iqmansingh/smoker-status-kfold-catboost-ensemble", "kernel_id": "45871866"}, {"ref": "iqmansingh/smoker-status-xgb-lgbm-cat-dart-ensembling", "kernel_id": "45056185"}, {"ref": "iqmansingh/smoker-status-oof-preds-lgbm-catboost-xgb", "kernel_id": "45145203"}, {"ref": "yashrana24/playground-s3-24", "kernel_id": "45484378"}, {"ref": "yashrana24/2-s3-24", "kernel_id": "45603080"}, {"ref": "vishnu0309/binary-prediction", "kernel_id": "45852210"}, {"ref": "manasvijaipurkar/binary-prediction", "kernel_id": "45151106"}, {"ref": "kevin1hsu/smoking-predict-eda-xgb-submission", "kernel_id": "45639712"}, {"ref": "dataminingee/ps-s3-ep24-smoking", "kernel_id": "45106060"}, {"ref": "muhannadmansour/ps3e24-xgboost-recursive-feature-elimination", "kernel_id": "45260367"}, {"ref": "harshagrawal12/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "45451329"}, {"ref": "rushikeshdhaigude/xgboost-prediction-of-smoker-status", "kernel_id": "45060333"}, {"ref": "sunny7712/ensembling-submission-files", "kernel_id": "45940536"}, {"ref": "zonwie/s13e24-eda-feature-importance-mlpclassifier", "kernel_id": "45048794"}, {"ref": "ahmed3okka/pg-s3-e24-modeling-submission", "kernel_id": "45767148"}, {"ref": "patriciabrezeanu/catboost-hyperparameter-tuning", "kernel_id": "45097401"}, {"ref": "patriciabrezeanu/stacking-ensemble-best-pycaret-models", "kernel_id": "45150584"}, {"ref": "kapturovalexander/kapturov-s-solution-of-ps-s3e24", "kernel_id": "45045339"}, {"ref": "hemanthpingali/smoker-status-prediction-bio-signals", "kernel_id": "45547484"}, {"ref": "riyadmehdi/ps3e24-eda-models-predictions", "kernel_id": "45532833"}, {"ref": "ashishkumarak/binary-classification-smoker-or-not-eda-xgboost", "kernel_id": "45149549"}, {"ref": "anthonynam/smoke-status-prediction", "kernel_id": "45379423"}, {"ref": "mahendra77/smoking-prediction", "kernel_id": "45096630"}, {"ref": "iqbalsyahakbar/ps3e24-predicting-smokers-for-starters", "kernel_id": "45039775"}, {"ref": "jonwhiting/smoker-status-using-bio-signals", "kernel_id": "45335752"}, {"ref": "edmondkirsch/simple-and-quick-implemention-pb-0-84", "kernel_id": "45038251"}, {"ref": "yaaangzhou/pg-s3-e24-eda-modeling-ensemle-nn", "kernel_id": "45039542"}, {"ref": "hridaym25/simple-lgbm-classifier", "kernel_id": "45630396"}, {"ref": "dumanmesut/smoker-status-0-1-eda-lgbm-xgb", "kernel_id": "45049116"}, {"ref": "danishelahi/binary-prediction-of-smoker", "kernel_id": "45872700"}, {"ref": "hritwijkamble/24-hyper-parameter-tuning", "kernel_id": "45790065"}, {"ref": "hritwijkamble/prediction-of-smoker-status-using-bio-signals", "kernel_id": "45046677"}, {"ref": "vladislavonufrienko/ps3e24-lgbmclassifier", "kernel_id": "45344740"}, {"ref": "angelojmaia/decisiontree-randomforest-xgboost", "kernel_id": "45222140"}, {"ref": "sb0702/eda-5-models-performance-comparison", "kernel_id": "45085521"}, {"ref": "cybersimar08/ps-s3e24-eda-optuna-cat-xgb-lgbm", "kernel_id": "45042607"}, {"ref": "richeyjay/smoking-prediction-using-bio-signals", "kernel_id": "45076555"}, {"ref": "francescoliveras/ps-s3-e24-eda-model-en-es", "kernel_id": "45046329"}, {"ref": "guanlintao/keras-sigmoid-binary-prediction", "kernel_id": "45062436"}, {"ref": "guanlintao/stacking-binary-prediction", "kernel_id": "45113389"}, {"ref": "guanlintao/87-blending-binary-prediction", "kernel_id": "45471917"}, {"ref": "emonney/smoker-classification", "kernel_id": "45388212"}, {"ref": "gordonbchen/smoking-prediction-kaggle-comp", "kernel_id": "45322773"}, {"ref": "sunilthite/binaryprediction-of-smoker-status-using-biosignals", "kernel_id": "45264720"}, {"ref": "sunilthite/binary-prediction-of-smoke-status-ml-algorithms", "kernel_id": "45282492"}, {"ref": "andrprovensi/ps-s3-e24-smoking", "kernel_id": "45233577"}, {"ref": "ucas0v0zhuoqunli/eda-automl-baseline1", "kernel_id": "45093516"}, {"ref": "kuryakin/s3-e24-eda-and-submission", "kernel_id": "45065007"}, {"ref": "andretaibei/efficient-prediction-of-smoker-status", "kernel_id": "45615044"}, {"ref": "tatianakushniruk/smoker-status-pred-eda-xgboost-optuna", "kernel_id": "45734922"}, {"ref": "adeniyibabalola/mad-genius-decoding-smoker-status-through-eda", "kernel_id": "45077037"}, {"ref": "rautaishwarya/prediction-using-hybrid-nn-xgboost-model", "kernel_id": "45979422"}, {"ref": "arvanshul/smoker-status-prediction-v1", "kernel_id": "45248757"}, {"ref": "prasadmeesala/smoker-or-not-binary-classification", "kernel_id": "45677257"}, {"ref": "nazimcherpanov/prediction-smoker-status-using-votting", "kernel_id": "45154899"}, {"ref": "natchaphonkamhaeng/pg-competition-binary-prediction-of-smoke-detect", "kernel_id": "45241296"}, {"ref": "stanislavsamsonenko/samsonenko", "kernel_id": "45823464"}, {"ref": "tahaelalmi/notebookd0ab8e1427", "kernel_id": "45220980"}, {"ref": "bhavyaprakash02/binary-classification-of-smoker-status", "kernel_id": "45369057"}, {"ref": "anmuser/smoker-status", "kernel_id": "45081190"}, {"ref": "keishibata/ps3-s3e24-ensemble-boost", "kernel_id": "45532840"}, {"ref": "keishibata/ps3-s3e24-xgb-baseline", "kernel_id": "45504463"}, {"ref": "keishibata/ps3-s3e24-baseline-for-beginners", "kernel_id": "45463365"}, {"ref": "enricomanosperti/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "45134362"}, {"ref": "dunyexplorer/smoki", "kernel_id": "45110244"}, {"ref": "endofnight17j03/biosignal-binaryprediction", "kernel_id": "45067384"}, {"ref": "yongsukprasertsuk/top-lb-smoking-ensemble", "kernel_id": "45985250"}, {"ref": "levgolovnin/smoki", "kernel_id": "45170708"}, {"ref": "m000sey/newbie-experiment-w-catboost", "kernel_id": "45179856"}, {"ref": "m000sey/eda-w-model-baseline", "kernel_id": "45037961"}, {"ref": "m000sey/ps-3-24-boosting-ensemble-w-nn", "kernel_id": "45116572"}, {"ref": "kanishk026/simple-ensemble-xgb-lgbm-hist", "kernel_id": "45756912"}, {"ref": "ziadwael/smoker-prediction-xgbc-acc-87-4", "kernel_id": "45585540"}, {"ref": "sabienn/smoker-status-comp-notebook", "kernel_id": "45172381"}, {"ref": "eishkaran/smoking-starter-stacked-meta-models", "kernel_id": "45248899"}, {"ref": "shashwatpsit/binary-prediction", "kernel_id": "45448055"}, {"ref": "getanmolgupta01/smoking-status-logistic-insight", "kernel_id": "45250841"}, {"ref": "swatibajaj54/binary-prediction-smoker-status-xgboost-beginner", "kernel_id": "45286728"}, {"ref": "manaknarang/baseline-model-xgboost-hyperparameter-tuning", "kernel_id": "45046836"}, {"ref": "vishnupriyagarige/smoker-status-prediction", "kernel_id": "45876747"}, {"ref": "hasanyldiz/smoker-status", "kernel_id": "45490642"}, {"ref": "vstacknocopyright/smoker-status-using-random-forest-classifier", "kernel_id": "45518084"}, {"ref": "anmolarora15/smoking-prediction-xgb-ada-boost", "kernel_id": "45791181"}, {"ref": "neupane9sujal/binary-prediction-of-smoker-status-catboost", "kernel_id": "45201811"}, {"ref": "jacobshaheen/binary-prediction-of-smoking-status", "kernel_id": "45834791"}, {"ref": "grassymonkey/pg-s3-e24-eda-rf-clf", "kernel_id": "45405097"}, {"ref": "juanfaz/smoker", "kernel_id": "45619043"}, {"ref": "abhijit89kumar/smoke-smoke-smoke-that-cigarette", "kernel_id": "45065637"}, {"ref": "santonyalexia/smoke-prediction-1", "kernel_id": "45139643"}, {"ref": "nickkrikota/s3e24-quick-eda-and-ensemble", "kernel_id": "45064531"}, {"ref": "nickkrikota/s3e24-learning-optuna", "kernel_id": "45951085"}, {"ref": "abhiramreddygeesidi/s3e24", "kernel_id": "45147595"}, {"ref": "akshatsg/pss3e24-high-accuracy-h2o-automl-cv-easy", "kernel_id": "45040052"}, {"ref": "itsnobita/pss34-eda-modelling", "kernel_id": "45056161"}, {"ref": "harshitajakiya/beginnercatboost-xgboostapproach", "kernel_id": "45273332"}, {"ref": "saurabhru/binary-prediction-of-smoker-status-with-nn-model", "kernel_id": "45178318"}, {"ref": "aguinaldomulonde/binary-prediction-of-smoker-logistic-regression", "kernel_id": "45657172"}, {"ref": "bertanpank/ps3e24-ensemble", "kernel_id": "45432983"}, {"ref": "bertanpank/ps3e24", "kernel_id": "45412951"}, {"ref": "bertanpank/s3e24-no-model-some-useful-stuff", "kernel_id": "45059082"}, {"ref": "arunklenin/ps3e24-smoking-cessation-prediction-binary", "kernel_id": "45382396"}, {"ref": "egorbrazh/smoki", "kernel_id": "45067528"}, {"ref": "egorbrazh/notebookbfba303ee5", "kernel_id": "45658056"}, {"ref": "rukenmissonnier/predict-using-tfdf", "kernel_id": "45165175"}, {"ref": "rukenmissonnier/feature-engineering-modeling-smoker-status", "kernel_id": "45050509"}, {"ref": "vishwasmishra1234/smokingpreds", "kernel_id": "45397990"}, {"ref": "vinodkumargurjar/prediction-smoke-status-vinod", "kernel_id": "45412470"}, {"ref": "nemanjagojkovic/eda-intresting-discoveries", "kernel_id": "45162235"}, {"ref": "nemanjagojkovic/xgb-vs-lgbm-comparsion", "kernel_id": "45582369"}, {"ref": "vishsin01/its-smoking-hot-with-catboost-xbboost-lgbm", "kernel_id": "45157479"}, {"ref": "arvindravi06/binary-prediction-of-smoker-status", "kernel_id": "45433783"}, {"ref": "eduardomarinho44/binary-prediction-of-smoker-status", "kernel_id": "45983101"}, {"ref": "coinshot/binary-prediction-of-smoker-status-model", "kernel_id": "45204628"}, {"ref": "ayoubchnaida/prediction-of-smoker-status-using", "kernel_id": "45992519"}, {"ref": "soyabulislamlincoln/no-more-smoking-smoking-kills", "kernel_id": "45648411"}, {"ref": "mrmmm0128/smoking-prediction", "kernel_id": "45197773"}, {"ref": "gabrielfacheti/smoker-status-optuna-stacking", "kernel_id": "45084774"}, {"ref": "yashkalkani/binary-prediction-of-smoker-status", "kernel_id": "45532589"}, {"ref": "ashirzaki/binary-prediction", "kernel_id": "45127865"}, {"ref": "ahmedaliraja/binay-prediction-smoke-postivies", "kernel_id": "45680657"}, {"ref": "ser13volk/smokepractic", "kernel_id": "45123059"}, {"ref": "commentsm/smoker-status", "kernel_id": "45073733"}, {"ref": "aravindpcoder/binary-prediction-of-smoker-status-using-biosignal", "kernel_id": "45682708"}, {"ref": "valentinbelyaev/s3e24-initial-eda-part-1", "kernel_id": "45312654"}, {"ref": "valentinbelyaev/s3e24-baseline-boostings-part-2", "kernel_id": "45371210"}, {"ref": "valentinbelyaev/s3e24-xgboost-part4", "kernel_id": "45543906"}, {"ref": "valentinbelyaev/s3e24-model-ensemble-part-3", "kernel_id": "45495016"}, {"ref": "jpedrou/prediction-of-smoker-status", "kernel_id": "45120658"}, {"ref": "mainscientist/ps-s3e24", "kernel_id": "45059628"}, {"ref": "yldzburhan/smoker-status-prediction-lgbm-xgb", "kernel_id": "45058040"}, {"ref": "bujiuzhi/playground-series-s3e24", "kernel_id": "45850626"}, {"ref": "armanzhalgasbayev/ps-s3-e24-smoker-status", "kernel_id": "45227015"}, {"ref": "armanzhalgasbayev/ps-s3-e24-autogluon-model", "kernel_id": "45243232"}, {"ref": "yazeedalsahouri03/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "45321094"}, {"ref": "daniliur/catboost", "kernel_id": "45072302"}, {"ref": "huseyinbaytar/ps3e24-binary-classification-smoker-status", "kernel_id": "45050721"}, {"ref": "yaoheyi/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "45050468"}, {"ref": "jageshkar/smoker-prediction-v3", "kernel_id": "45511671"}, {"ref": "hazmannaim/binary-classification-weighted-ensemble-top-28", "kernel_id": "45162817"}, {"ref": "kelvinkoenders/smokers", "kernel_id": "45970021"}, {"ref": "hollowcain/smoki-random-forest-above-0-86151", "kernel_id": "45067352"}, {"ref": "shivanshgupta67/binary-classification-ps3-s24", "kernel_id": "45726781"}, {"ref": "stepankarpov/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "45708429"}, {"ref": "stepankarpov/stacking-technique", "kernel_id": "45834203"}, {"ref": "rss1011/voting-classifier-using-xgboost-and-lgbm", "kernel_id": "45391817"}, {"ref": "khansahil128/easy-notebook-86-auc-score-with-catboots", "kernel_id": "45183686"}, {"ref": "riteshbhalerao/binary-classifier-autogluon", "kernel_id": "45965503"}, {"ref": "yanlukianchik/prediction-of-smoker-status", "kernel_id": "45785761"}, {"ref": "gulnihall/smoker-status-eda-lgbm-xgbm-catboost-votingc", "kernel_id": "45947194"}, {"ref": "lokmanefe/ps-s3e24-binary-smoke", "kernel_id": "45371776"}, {"ref": "cicinguyen/smoker-status-xgboost", "kernel_id": "45712210"}, {"ref": "harshsoni2001/smoker-status-using-bio-signals-with-xgboost", "kernel_id": "45100493"}, {"ref": "danielmbuchberger/ps-s-3-e-24-first-steps", "kernel_id": "45063290"}, {"ref": "danielmbuchberger/ps-s-3-e-24-data-visualization", "kernel_id": "45113119"}, {"ref": "piratemeow/notebookcac5ba6931", "kernel_id": "45732638"}, {"ref": "rizal1015/smoking-02", "kernel_id": "45062539"}, {"ref": "imtommi/smoker-prediction", "kernel_id": "45203485"}, {"ref": "ankitanain/binary-prediction-of-smokers", "kernel_id": "45603503"}, {"ref": "ankitanain/smoke-prediction", "kernel_id": "45637605"}, {"ref": "maxmarriottclarke/ps3-24-predicting-smokers-xgb-lgbm", "kernel_id": "45081566"}, {"ref": "syedsubahani/smoker-status-binary-prediction-model", "kernel_id": "45122253"}, {"ref": "theusman/simple-and-accurate-smoke-preds", "kernel_id": "45146048"}, {"ref": "joseelisei/smoker-prediction-using-bio-signals", "kernel_id": "45083398"}, {"ref": "pluspin/ps-s3-e24", "kernel_id": "45325519"}, {"ref": "amirmoosa/binary-prediction-of-smoking-randomforestclassifie", "kernel_id": "45590428"}, {"ref": "dipayancodes/binary-classifications-prediction", "kernel_id": "45260164"}, {"ref": "sharmadeepankaj/smokingstatus", "kernel_id": "45099131"}, {"ref": "sarunpm/easy-binary-classification-smoking-xgboost-optuna", "kernel_id": "45250570"}, {"ref": "sarunpm/0-88083-in-12-sec-blending-of-topper-s-notebooks", "kernel_id": "45992553"}, {"ref": "sunilkumaradapa/binary-predicitons-of-smoke-status", "kernel_id": "45564631"}, {"ref": "uta77400/umer-tariq-s-ml-model-for-s-non-s-competiton", "kernel_id": "45750830"}, {"ref": "sinagol/bio-signals", "kernel_id": "45527521"}, {"ref": "narasimha111/my-first-one", "kernel_id": "45407899"}, {"ref": "tamaratamishi/feature-engineering-modeling-smoker-status-5a7091", "kernel_id": "45118377"}, {"ref": "thiagostat/appyling-feat-eng-xgboost-optuna", "kernel_id": "45720683"}, {"ref": "lichenxu823/smoker-status-xgb-lgbm-cat-dart-ensembling", "kernel_id": "45413079"}, {"ref": "alexryzhkov/lightautoml-nn-test", "kernel_id": "46000674"}, {"ref": "funxexcel/one-prompt-smoker-status-prediction", "kernel_id": "46739419"}, {"ref": "spiritokko/smoking-prediction-with-xgboost", "kernel_id": "46152546"}, {"ref": "vinitkp/binaryprediction-smokerstatus", "kernel_id": "46061265"}, {"ref": "mahmudds/binary-pred-eda-feature-engineering-ensemble", "kernel_id": "46131887"}, {"ref": "v23joshi/notbook", "kernel_id": "46009503"}, {"ref": "sp3ch3/notebookb010923d3c", "kernel_id": "46136839"}, {"ref": "memocan/comprehensive-eda-feature-crafting-pycaret", "kernel_id": "46254245"}, {"ref": "maxim9012/notebookf0e8fce6d6", "kernel_id": "46046276"}, {"ref": "carljvh/playground-smoking-predictions-using-fastai", "kernel_id": "46078292"}, {"ref": "oarbiv/notebook37291b3fa7", "kernel_id": "46293666"}, {"ref": "radhakrishnanb/smoker-signal", "kernel_id": "46033175"}, {"ref": "seanandrie/ps-s3-e24-binary-smoker-meta-modelling", "kernel_id": "46062574"}, {"ref": "youseefmoemen/smokingprediction-eda-featureengineering-xgb", "kernel_id": "46156228"}, {"ref": "danielpopov/binary-classification-smoker-or-not-xgboost", "kernel_id": "46019053"}, {"ref": "thomasmeiner/pse24-chatgpt-solution", "kernel_id": "46031153"}, {"ref": "windup/ams-572", "kernel_id": "46579542"}, {"ref": "misterjjunpatch/smoker-status-prediction-catboost-80-accuracy", "kernel_id": "46030878"}, {"ref": "rcratos/smoker-status-xgboost-lgbm-hist-ensemble-optuna", "kernel_id": "46131267"}, {"ref": "mohamedmeqlad/smoker-status-eda-feat-eng-xgb", "kernel_id": "46174513"}, {"ref": "abhirupghosh184098/lightgbm-smoker-classifier-using-bio-signals", "kernel_id": "46875345"}, {"ref": "soumenksarker/tuning-blending-and-stackin", "kernel_id": "46065903"}, {"ref": "nminhquang380/smoker-prediction", "kernel_id": "46918115"}, {"ref": "echowuzangye/optuna-borutashap-xgboost-lgbm-smoker-status", "kernel_id": "46163722"}, {"ref": "vanphung/smoker-status-prediction", "kernel_id": "46839156"}, {"ref": "beltrancastro/smoker-bio-signals-basic-eda", "kernel_id": "46188991"}, {"ref": "suraj520/ps-s3-e24-soft-voting-k-fold-cv-optuna", "kernel_id": "46116624"}, {"ref": "eshraqsaeed/ps3e24-eda", "kernel_id": "46036790"}, {"ref": "eshraqsaeed/ps3e24-simple-ensemble-model", "kernel_id": "46147344"}, {"ref": "gouthamb002/predictsmoker-logit-with-graph", "kernel_id": "46071452"}, {"ref": "nazninhussain/notebook3fb2998d3b", "kernel_id": "46075063"}, {"ref": "omega11/predict-smoking-handling-outliers", "kernel_id": "46157790"}, {"ref": "uinamson/23-11-26-term-project-uinam-son", "kernel_id": "46300772"}, {"ref": "piyushborhade/smoker-classifier-using-bio-signals-random-forest", "kernel_id": "46980898"}, {"ref": "kevstrider/smoker-status", "kernel_id": "46054379"}, {"ref": "prudhvi143413s/competition-3", "kernel_id": "46123576"}, {"ref": "aaradhyabadal/smoking-is-not-cool-kids-pg-s3e24", "kernel_id": "46030280"}, {"ref": "michaeltezak/eda-viz-pipelines-stacking", "kernel_id": "46713264"}, {"ref": "seojinpark2001/gender-binary-prediction-of-smoker-status", "kernel_id": "46081912"}, {"ref": "anopsy/eda-fe-xgb-smokers", "kernel_id": "46033140"}, {"ref": "zakyabasith/smoker-status-identifier-using-mlp", "kernel_id": "46107996"}, {"ref": "demonickelodeon/smoker-status-using-binary-classification", "kernel_id": "46038421"}, {"ref": "enriquegiottonini/smokin1", "kernel_id": "46046674"}, {"ref": "saquib7hussain/binary-prediction-of-smoker-status", "kernel_id": "46078107"}, {"ref": "rishabhdang/smoking-prediction", "kernel_id": "46011688"}, {"ref": "swarnasridhar045/fork-of-notebookb4aa8124fe", "kernel_id": "46624393"}, {"ref": "dishaagarwal7001/applying-normalization-and-standardization", "kernel_id": "46417395"}, {"ref": "ericknavarro2/proceso-de-realizaci-n", "kernel_id": "46543420"}, {"ref": "hafedjamil/smoker-status-using-bio-signals", "kernel_id": "46060663"}, {"ref": "danyamyakota/smoking-prediction-using-randomforest", "kernel_id": "46103862"}, {"ref": "kumudithasilva/ps-s3e24-bio-signals-eda-pca-shap", "kernel_id": "46127180"}, {"ref": "waltuu/binary-prediction-of-smoker-status-fast-ai", "kernel_id": "46150046"}, {"ref": "weichens/ps3e24-ensemble-notebook-of-ensemble-model", "kernel_id": "46067698"}, {"ref": "madhubharadwaj1/hackathon-fuel-6-project", "kernel_id": "46188058"}, {"ref": "raaggeesingh/smoking-status-prediction-using-xgbclassifier", "kernel_id": "46112044"}, {"ref": "hazmannaim/binary-classification-optuna-2nd-notebook", "kernel_id": "46038112"}, {"ref": "galrozental/smoker-status-binary-prediction-xgboost", "kernel_id": "46879867"}, {"ref": "jacker01/smoker-predictions", "kernel_id": "46042439"}, {"ref": "soroushsrd/smoking-prediction-competition-svc", "kernel_id": "46035429"}, {"ref": "sajjadfc13/classification-using-random-forrest", "kernel_id": "46133993"}, {"ref": "lc3287/smoker-status-using-bio-signal-data-preprocessin", "kernel_id": "46456296"}, {"ref": "soleil31/smokers", "kernel_id": "46034559"}, {"ref": "proxod3/hw1-prediction-of-smoker-status", "kernel_id": "46137822"}, {"ref": "luishiramhernandez/notebook5b3fa91d4d", "kernel_id": "46054545"}, {"ref": "andresmembrillo/smoker-status-xgboost", "kernel_id": "46504661"}, {"ref": "dengyangj/notebooke68682c6ea", "kernel_id": "46333506"}, {"ref": "hhhzzz1/smoker-status-using-xgboost-lgbm-hist-ensemble", "kernel_id": "46185502"}, {"ref": "scienceenthusiast/smoker-status-prediction-randomforestclassifier", "kernel_id": "46076497"}, {"ref": "sergiolopez13/proyecto-2-smoker-status-sals", "kernel_id": "46835856"}, {"ref": "josefersonbarreto1/smoker-binary-lgbm-classifier", "kernel_id": "46048630"}, {"ref": "reirosemary/otgoo-clustering-test", "kernel_id": "47910122"}, {"ref": "aloksaraswat/smokers-analysis-alok", "kernel_id": "47801413"}, {"ref": "demon2angel/eda-of-the-dataset", "kernel_id": "47576562"}, {"ref": "mostafamohammednouh/smoker-status-prediction-eda", "kernel_id": "47256881"}, {"ref": "divyanshuchaubey/smoker-analysis", "kernel_id": "47139140"}, {"ref": "fatmanurcetnturk/keras-mbalanced-classification-example", "kernel_id": "47287300"}, {"ref": "ahmadsayedabdelwahab/smokieng-dataset", "kernel_id": "47639129"}, {"ref": "luodanliu/smoke-model", "kernel_id": "47318781"}, {"ref": "luodanliu/smoke-eda", "kernel_id": "47318886"}, {"ref": "luodanliu/smoke", "kernel_id": "47673794"}, {"ref": "fourdozen/smoker-status-prediction", "kernel_id": "47851893"}, {"ref": "abdelmoughitmoubarik/efficient-prediction-of-smoker-by-mbk", "kernel_id": "47142124"}, {"ref": "minoi3/smoker-prediction-eda-rf", "kernel_id": "47269930"}, {"ref": "pratiyushkumar/project1", "kernel_id": "47411249"}, {"ref": "hridayeshbajaj/notebookb950eecfb5", "kernel_id": "48248817"}, {"ref": "mdismielhossenabir/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "48873707"}, {"ref": "akelsayed/smoker-prediction-ak", "kernel_id": "48941536"}, {"ref": "cheesegue/eda-bank-for-japanese", "kernel_id": "48800324"}, {"ref": "cheesegue/eda-smorker", "kernel_id": "48512435"}, {"ref": "okd8899/smoke-classifier", "kernel_id": "48426254"}, {"ref": "shunozawa/ai-final-b", "kernel_id": "48294156"}, {"ref": "ss3939/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "48314353"}, {"ref": "msecilozturk/smoking-prediction-project", "kernel_id": "48405310"}, {"ref": "saimondahal/smokerstatus-prediction-85-accuracy", "kernel_id": "48157099"}, {"ref": "paramanandbhat/notebookac67c81b03", "kernel_id": "48641767"}, {"ref": "bayusuarsa/binary-predictions-of-smoking-eda-ml", "kernel_id": "49044724"}, {"ref": "arpitppatel/classification-template-ps3e24", "kernel_id": "49626712"}, {"ref": "snikhilrao/playground-s3e24", "kernel_id": "49369096"}, {"ref": "ramjaslangdi/binary-prediction-of-smoker-status", "kernel_id": "49768895"}, {"ref": "rohangulati14/best-binary-prediction-of-smoker-status", "kernel_id": "49891499"}, {"ref": "qubebox/smokingrandomforest", "kernel_id": "49841382"}, {"ref": "abhinandansharma19/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "49892927"}, {"ref": "pulkitsanan/smoke", "kernel_id": "49789843"}, {"ref": "gamablobyt/smoker-classification", "kernel_id": "49837144"}, {"ref": "a21cdr025/logistic-regression-prediction", "kernel_id": "49145724"}, {"ref": "saliharanauzun/smoker-status", "kernel_id": "49046762"}, {"ref": "pritishpriyam4/smoker-logistic", "kernel_id": "49740061"}, {"ref": "garvitmadaan/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "49619081"}, {"ref": "navjotkaur1312/binary-prediction-of-smoker-status", "kernel_id": "49776116"}, {"ref": "ashmeet02/notebook12806d8153", "kernel_id": "49784691"}, {"ref": "kanishhkaa/notebook140be462e9", "kernel_id": "49975665"}, {"ref": "stutimittal11/kaggle", "kernel_id": "49447768"}, {"ref": "shunozawa/ai-final-d-2", "kernel_id": "49748010"}, {"ref": "shunozawa/ai-final-d-1", "kernel_id": "49745829"}, {"ref": "ss3939/binary", "kernel_id": "49775547"}, {"ref": "ss3939/kairyou-tabaco", "kernel_id": "49779995"}, {"ref": "aarushijain24/version-1-eda", "kernel_id": "49446602"}, {"ref": "ahmetkoseoglu/smoking-prediction", "kernel_id": "49566954"}, {"ref": "aryandogra/notebookb583147020", "kernel_id": "49774812"}, {"ref": "kartikye10/binary-prediction-of-smoker-status-basic", "kernel_id": "49767529"}, {"ref": "kadernarn/prediction-of-smoker-status-eda-classification", "kernel_id": "49142341"}, {"ref": "harshitarya003/smoker-status-xgb-basic-easy-to-understand", "kernel_id": "49316886"}, {"ref": "rijuljain2003/somker-statusrijul", "kernel_id": "49796038"}, {"ref": "sakshamsikri8/notebookb43acf5782", "kernel_id": "49794591"}, {"ref": "aashimbansal/smoker-status", "kernel_id": "49793310"}, {"ref": "grandmastershaurya/binary-prediction-of-smoker-status-using-bio-sig", "kernel_id": "49768083"}, {"ref": "sirishasingla1906/smoker-status-xgb-random-forest", "kernel_id": "49785388"}, {"ref": "adityagoel2205/binary-prediction-of-smoker-status", "kernel_id": "49753123"}, {"ref": "dubeyarpit/notebook3ec6f493ed", "kernel_id": "49776855"}, {"ref": "karanchhabra2003/notebook0b83fdb78f", "kernel_id": "49923902"}, {"ref": "muhmoudshehata/fast-tree-smoking-prediction", "kernel_id": "50551550"}, {"ref": "mahendra301/smoker-status-prediction-light-gbm", "kernel_id": "50723144"}, {"ref": "suvansh03/smoker-prediction", "kernel_id": "50334880"}, {"ref": "harharharhar/3-24-smoker", "kernel_id": "50111311"}, {"ref": "juniorbertrand/one-line-solution-very-simple-trick", "kernel_id": "50791776"}, {"ref": "sanyamgoyal401/smoker-detection", "kernel_id": "50108013"}, {"ref": "sanyamgoyal401/smoker-detection-logistic", "kernel_id": "50108114"}, {"ref": "nikhilchadha1537/binary-prediction-smoker-status", "kernel_id": "50812213"}, {"ref": "hardikgarg03/smoker-status-signal-80-accuracy", "kernel_id": "50493024"}, {"ref": "akashdeepkataria/binary-prediction-of-smoker-status-python", "kernel_id": "50098010"}, {"ref": "sveachawla/smoke-prediction", "kernel_id": "50687654"}, {"ref": "akshaykhanna05/smoker-statu-using-bio-signals-akshay", "kernel_id": "50729458"}, {"ref": "junaidullhassan/smoker-status-using-bio-signals-acc-79", "kernel_id": "50506976"}, {"ref": "riyaraizada/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "50816187"}, {"ref": "aestroe/smoker-status", "kernel_id": "50786135"}, {"ref": "akshita0560/smoker-prediction", "kernel_id": "50334696"}, {"ref": "abhinavvvvvvvvvv/easy-binary-prediction-of-smoker-status", "kernel_id": "50566655"}, {"ref": "akshitaakshita/smoker-status", "kernel_id": "50811914"}, {"ref": "infernape01/smoker-predictions", "kernel_id": "50062381"}, {"ref": "arshiyakishore/smoker-status", "kernel_id": "50734142"}, {"ref": "ishaangaba17/smoker-with-high-accuracy", "kernel_id": "50544691"}, {"ref": "pulkittarora/smoker-status-using-bio-signals", "kernel_id": "50451438"}, {"ref": "gulnihall/regression-models-eda-smoker-status", "kernel_id": "50362089"}, {"ref": "neelakshigupta/smoker", "kernel_id": "50334746"}, {"ref": "praneykalra/binary-prediction-of-smoker", "kernel_id": "50656458"}, {"ref": "yatharthgautam123789/smoker-status", "kernel_id": "50728379"}, {"ref": "raghav723/smoker-status", "kernel_id": "50788011"}, {"ref": "rasilrisam/logistic-xgboost-binary-prediction-rasil-risam", "kernel_id": "50243848"}, {"ref": "jatinthakur706/binary-prediction-of-smoker-status-using-bio-sign", "kernel_id": "50772965"}, {"ref": "lookitskhushboo/notebook60294c1489", "kernel_id": "50098701"}, {"ref": "vanshgupta44/notebookd0941e0136", "kernel_id": "50940091"}, {"ref": "iyasha/binary-prediction-smoker-status-using-bio-signal", "kernel_id": "50112541"}, {"ref": "kunal025/binary-prediction-of-smoker", "kernel_id": "50107052"}, {"ref": "ujjvalvashisht/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "50463380"}, {"ref": "harshitrajpal2508/smoker-classification", "kernel_id": "50423079"}, {"ref": "shivamvermathapar/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "50856343"}, {"ref": "jasmeet0516/smoker-status", "kernel_id": "50773113"}, {"ref": "ashish32700/just-practice", "kernel_id": "50826721"}, {"ref": "ashish32700/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "50827022"}, {"ref": "sachinsushilsingh/notebookbd01aa52a5", "kernel_id": "50095770"}, {"ref": "nitishjolly/binary-prediction-of-smoker-status", "kernel_id": "50034136"}, {"ref": "kanishhkaa/notebookf8ce42760f", "kernel_id": "50644235"}, {"ref": "swasti19/prediction-1", "kernel_id": "50112505"}, {"ref": "priyalsingla/smoker-status", "kernel_id": "50785129"}, {"ref": "richika11/binary-prediction", "kernel_id": "50450584"}, {"ref": "yogeshratheea/notebook6eda5dfeec", "kernel_id": "50088450"}, {"ref": "udaysharma007/smoker-status", "kernel_id": "50727677"}, {"ref": "aradhakkandhari/smoker-prediction", "kernel_id": "50785530"}, {"ref": "aruvib/logistic-xgboost-binary-prediction-aruvi-b", "kernel_id": "50231561"}, {"ref": "gokul9405/notebookfc31eeaedd", "kernel_id": "50062417"}, {"ref": "khyatimunjal/binary-prediction-of-smoker-status", "kernel_id": "50449186"}, {"ref": "bhavyabhalla2701/binary-prediction-of-smoker-status-bhavya", "kernel_id": "50697389"}, {"ref": "hrshpreet/smoker-status-using-bio-signals-2", "kernel_id": "50419969"}, {"ref": "hrshpreet/smoker-status-using-bio-signals", "kernel_id": "50416130"}, {"ref": "arushibashambu/smoker-biosignals", "kernel_id": "50827698"}, {"ref": "namishjindal4/binary-prediction-of-smoker-status", "kernel_id": "50872888"}, {"ref": "nishthakumari20/binary-prediction-of-smoker-status", "kernel_id": "50910662"}, {"ref": "harshitstark/prediction-of-smoker-status-using-bio-signals", "kernel_id": "50118678"}, {"ref": "priyanshu54200/smoker-status-using-bio-signals-ps-ml", "kernel_id": "50773900"}, {"ref": "paramvir705/smoker-status-predictions", "kernel_id": "50785100"}, {"ref": "quackinghorse/binary-prediction-of-smoker-status-using-biosignal", "kernel_id": "50811518"}, {"ref": "rahulgurwannn/notebook7a2611432c", "kernel_id": "50471994"}, {"ref": "ananyagupta184/notebook4bb63b7975", "kernel_id": "50104359"}, {"ref": "sakshigoyal001/smokerstatus", "kernel_id": "50935539"}, {"ref": "aarushijuneja07/kaggle", "kernel_id": "50940132"}, {"ref": "siddhantjain03/notebook041c935d1f", "kernel_id": "50116202"}, {"ref": "aarushikamboj/smoker", "kernel_id": "50741226"}, {"ref": "chaitanya2605/notebook0a5e15ec2a", "kernel_id": "50094817"}, {"ref": "parthvashish/notebook695d2d075d", "kernel_id": "50477085"}, {"ref": "parthvashish/notebook6bf2531c19", "kernel_id": "50939997"}, {"ref": "sankalp102/notebookc8144b6a62", "kernel_id": "50785209"}, {"ref": "saranshthegoat/smj-s-binary-prediction-of-smoker-status-using-bio", "kernel_id": "50859758"}, {"ref": "prikshitbhagat1/skome-status", "kernel_id": "50707104"}, {"ref": "eslamfouad/mathematical-statistics-of-smokers", "kernel_id": "51215611"}, {"ref": "manmeetkaursidhu/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "51109014"}, {"ref": "aparnasingh02/notebookf1b3f1d301", "kernel_id": "51077408"}, {"ref": "rohangulati14/87-binary-prediction-of-smoker-status", "kernel_id": "51036215"}, {"ref": "kkamal2003/binary-prediction-of-smoker-status", "kernel_id": "51158110"}, {"ref": "prabhdeep123/smoker-status-logistic-xg-catboost-86-accuracy", "kernel_id": "51271133"}, {"ref": "japjotsingh699/smoker-status-binary-prediction", "kernel_id": "51893935"}, {"ref": "raghavdargan/binary-prediction-of-smoker-status", "kernel_id": "51017471"}, {"ref": "shresthapundir/smoker-detection-using-pycaret", "kernel_id": "51003237"}, {"ref": "joyygoswami/smoker-status-classification", "kernel_id": "51533647"}, {"ref": "puneetgupta24/smoker-status-binary-prediction", "kernel_id": "51910748"}, {"ref": "shwetakk/notebook5078a66ad1", "kernel_id": "51529854"}, {"ref": "rohanthakur336/smoker-status-using-bio-signal", "kernel_id": "51079049"}, {"ref": "jjjjjjjjfdgdg/binary-prediction-of-smoker-status", "kernel_id": "51081263"}, {"ref": "bhavikasaini/smoker-status-logistic-xgb-catboost-86-accuracy", "kernel_id": "51259042"}, {"ref": "simarjeetsingh11/efficient-prediction-of-smoker-status", "kernel_id": "51080769"}, {"ref": "simarjeetsingh11/notebook199158c939", "kernel_id": "51080787"}, {"ref": "hrshbachan3/smoker-status-logistic-regression", "kernel_id": "51278236"}, {"ref": "aryankalia17/binary-prediction-smoker-notebook", "kernel_id": "52237618"}, {"ref": "anadyasahai/smoker-status-prediction-anadya", "kernel_id": "52240326"}, {"ref": "japleenkaurbedi/smoke-102103204", "kernel_id": "52441989"}, {"ref": "jkaur28/notebook5f35b70026", "kernel_id": "52441945"}, {"ref": "chahat03/smoker-status-prediction-p5", "kernel_id": "52311432"}, {"ref": "acdundore/s3-e24-eda-feat-eng-xai", "kernel_id": "53204230"}, {"ref": "alnourabdalrahman9/binary-prediction-of-smoker-status", "kernel_id": "53874888"}, {"ref": "isazeynalov/binary-prediction-with-xgb-lgbm-random-forest", "kernel_id": "53447445"}, {"ref": "rishitaverma02/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "53408400"}, {"ref": "baarify/smoker-prediction", "kernel_id": "53226099"}, {"ref": "cdr0101/binary-prediction-of-smoker-status", "kernel_id": "53900319"}, {"ref": "makuiky/s3e24-binary-prediction-of-smoker-status", "kernel_id": "54343511"}, {"ref": "anubhavsood/smokerstatus-binaryprediction", "kernel_id": "54602680"}, {"ref": "amanaayush/hardness", "kernel_id": "54214870"}, {"ref": "vineetmehar/binary-prediction-of-smoker", "kernel_id": "54214465"}, {"ref": "chiragchiku25/binary-prediction-of-smoker-using-lgbm", "kernel_id": "54195884"}, {"ref": "tanishas2024/notebook51bbb67e", "kernel_id": "54009494"}, {"ref": "suvidhasrivastava04/smokerstatusprediction-suvidha", "kernel_id": "54199534"}, {"ref": "yashasgarg/binary-prediction-of-smoker-status", "kernel_id": "55065401"}, {"ref": "japleenkaurbedi/smoker-status", "kernel_id": "55190864"}, {"ref": "harbandanakaur/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "55121737"}, {"ref": "chirag2306/binary-prediction-of-smoker-status", "kernel_id": "55085884"}, {"ref": "xyznihal/predictionsmoking-using-gradientboostingclassifier", "kernel_id": "56488491"}, {"ref": "sebastinazamaravils/smoking", "kernel_id": "56118935"}, {"ref": "satishamim/predictionsmoking-using-gradientboostingclassifier", "kernel_id": "56638616"}, {"ref": "yahia21/miningxgboost3-oss", "kernel_id": "57458798"}, {"ref": "ishanmathurkaggle28/smoker-status-optimum-approach", "kernel_id": "58044565"}, {"ref": "lenisha/smoking-logistic-regression", "kernel_id": "60727325"}, {"ref": "hikmetdevlet/20-prediction-of-smoker-status-using-bio-signa", "kernel_id": "60997802"}, {"ref": "joey123i/binary-prediction-pytorch", "kernel_id": "60280166"}, {"ref": "ariellahirsch/smoking", "kernel_id": "60725561"}, {"ref": "ugurokarapunar/smoke-s-mlof", "kernel_id": "61374300"}, {"ref": "gengenki/notebook46d20e7ffc", "kernel_id": "62801555"}, {"ref": "sugayuto/notebook197bcc8a33", "kernel_id": "62801369"}, {"ref": "kmn061/notebook6275992c0a", "kernel_id": "62801589"}, {"ref": "chihayanijo/notebook4b26a40713", "kernel_id": "62801553"}, {"ref": "itsuki0290/notebook21b954fae3", "kernel_id": "62801546"}, {"ref": "anastasialaschishina/notebook77f08a5539", "kernel_id": "63449671"}, {"ref": "davinascimento/smoker-status-binary-classification", "kernel_id": "64788013"}, {"ref": "bhavikrohit/smoker", "kernel_id": "64878860"}, {"ref": "arthurnepomuceno/trabalho-pr-tico-tei", "kernel_id": "64768534"}, {"ref": "guanlintao/100-ensemble-stacking-voting", "kernel_id": "66099401"}, {"ref": "ssyyhh/eda-of-smoking-gbc-prediction", "kernel_id": "66317638"}, {"ref": "msymsykaggle/smoking-targetencoding", "kernel_id": "66290545"}, {"ref": "trietp1253201581/smoker-status-using-bio-signal-s3e24", "kernel_id": "67374020"}, {"ref": "alperugurca/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "69588006"}, {"ref": "lishiyu2002012/lsy-binary-prediction-of-smoker-status-using-bio-s", "kernel_id": "73217750"}, {"ref": "emanafi/comparing-3-ml-methods-for-smokers-prediction", "kernel_id": "75019234"}, {"ref": "sadotal/binary-classification-smoker-or-not-eda-xgboost", "kernel_id": "75200194"}, {"ref": "futbol44k/my-first-competition", "kernel_id": "78764015"}, {"ref": "ivanpleshakov/abcdefg", "kernel_id": "79836586"}, {"ref": "meetrathi97/smoker-status-using-bio-signal-s3e24", "kernel_id": "79645333"}, {"ref": "mesutbagl/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "79123260"}, {"ref": "icomert/smoker-predictor-smote-dl-eda", "kernel_id": "80247292"}, {"ref": "naracut/notebook03bde9d495", "kernel_id": "80028947"}, {"ref": "ibraheimtarek/binary-prediction-of-smoker", "kernel_id": "81173240"}, {"ref": "seifdavio/notebook6f41ab3b3a", "kernel_id": "81564023"}, {"ref": "mostafanoseir/mostafa", "kernel_id": "81563086"}, {"ref": "yassinabdelaal1/notebook76375a819d", "kernel_id": "81563303"}, {"ref": "rgict716/fork-of-smoker-status-prediction", "kernel_id": "81640103"}, {"ref": "rgict716/smoker-status-prediction", "kernel_id": "81636904"}, {"ref": "rgict716/blending-lightgbm-and-xgboost", "kernel_id": "81756453"}, {"ref": "rgict716/lightgbm", "kernel_id": "81960483"}, {"ref": "anneko/smoker-status-prediction-xgboost-bestm-feature-imp", "kernel_id": "81912238"}, {"ref": "anneko/smoker-status-prediction-xgboost-with-og-data-an", "kernel_id": "81791977"}, {"ref": "anneko/smoker-status-prediction-eda", "kernel_id": "81853800"}, {"ref": "vesperalevtina/deep-analysis-and-model-s-research", "kernel_id": "82553263"}, {"ref": "ivarvb/dcc25ec", "kernel_id": "83166984"}, {"ref": "tjumanazarov/prediction-of-smoker-status-spbu", "kernel_id": "83032734"}, {"ref": "badrbinyamin/smoking-accuracy78", "kernel_id": "84026655"}, {"ref": "rukuri/aai-last-24rmd17", "kernel_id": "86532872"}, {"ref": "cajiki18/smoker-01", "kernel_id": "86614777"}, {"ref": "seowataru/kadai-d", "kernel_id": "86512671"}, {"ref": "rikiuchida/prediction-of-smoker4", "kernel_id": "87535912"}, {"ref": "kanta12343/notebook439931f602", "kernel_id": "87403931"}, {"ref": "kanta12343/notebook8c9f42b7a9", "kernel_id": "87112898"}, {"ref": "reijikato/binary-prediction-of-smoker-status-final-ex", "kernel_id": "87464022"}, {"ref": "ashreenk3/smoker-status-lgbm-xgb", "kernel_id": "88013833"}, {"ref": "aminhdi/notebookc5876b675d", "kernel_id": "94267347"}, {"ref": "leyuzakoksoken/binary-prediction-of-smoker-status-logisticreg", "kernel_id": "108370622"}, {"ref": "zqx960151285/binary-prediction-of-smoker-status-using-bio-signa", "kernel_id": "130052609"}]}
{"competition_id": "60892", "kernels": [{"ref": "yanafomichyova/classific-regressia-claster", "kernel_id": "43606897"}, {"ref": "alexryzhkov/ps3e25-lightautoml-baseline", "kernel_id": "46191997"}, {"ref": "alexryzhkov/ps3e25-lightautoml-neural-nets-baseline", "kernel_id": "46237782"}, {"ref": "paddykb/pg-s3e25-evaluate-the-lgbm-prefit-technique", "kernel_id": "46615297"}, {"ref": "adaubas/pss3e25-an-other-25-notebook", "kernel_id": "46944527"}, {"ref": "steffenhaeussler/mohs-hardness-model-explainer", "kernel_id": "46236567"}, {"ref": "cv13j0/regression-with-a-mohs-hardness-dataset", "kernel_id": "46429885"}, {"ref": "surajyadav91/xgboost-v2", "kernel_id": "46416889"}, {"ref": "surajyadav91/xgboost-v1", "kernel_id": "46367438"}, {"ref": "avtandyl/simple-baseline-median", "kernel_id": "46210513"}, {"ref": "dima806/s3e25-feature-engineering-by-misclassifications", "kernel_id": "46263162"}, {"ref": "dima806/s3e25-topmisclass-catboost-optuna-kf", "kernel_id": "46187434"}, {"ref": "dima806/s3e25-hardness-external-data-autoviz-catboost-shap", "kernel_id": "46178839"}, {"ref": "xpehutta/xgboost-optuna-outliers-omitted", "kernel_id": "46161112"}, {"ref": "elanderos/s03e23-eda-and-baseline", "kernel_id": "46725264"}, {"ref": "elanderos/s03e23-fastai-tabular", "kernel_id": "46758818"}, {"ref": "elanderos/s03e23-gbr-sklearn", "kernel_id": "46770062"}, {"ref": "elanderos/s03e23-gbr-sklearn-grid-search", "kernel_id": "46766998"}, {"ref": "elanderos/s03e23-lightgbm-iqr", "kernel_id": "46830563"}, {"ref": "elanderos/s03e23-fastai-params", "kernel_id": "46839347"}, {"ref": "elanderos/s03e23-lgbm-params", "kernel_id": "46874455"}, {"ref": "nicapotato/mohs-hardness-dataset-clustering", "kernel_id": "46294994"}, {"ref": "ianchute/baseline-knn-model", "kernel_id": "46283802"}, {"ref": "ianchute/lgbm-quantile-model", "kernel_id": "46288122"}, {"ref": "kesavan21u/regression-lightgbm-beginners", "kernel_id": "46249088"}, {"ref": "kesavan21u/regression-with-pytorch-nn", "kernel_id": "46815167"}, {"ref": "strawhatdragon/ps3e25-feature-engineering", "kernel_id": "46342722"}, {"ref": "mukul74/lb-0-65-s3e25-baseline-xgb-regression", "kernel_id": "46352469"}, {"ref": "docxian/ps-s3-e25-a-hard-regression-problem", "kernel_id": "46259375"}, {"ref": "funxexcel/one-prompt-mohs-hardness-prediction", "kernel_id": "46707052"}, {"ref": "alonewolf/mohs-hardness", "kernel_id": "46362275"}, {"ref": "tawejssh/lightgbm-for-mohs-hardness-prediction", "kernel_id": "46807163"}, {"ref": "alex97andreev/ps-s3e25-faster-regression-tuning-with-sklearnex", "kernel_id": "46267437"}, {"ref": "oscarm524/ps-s3-ep25-eda-modeling-submission", "kernel_id": "46158321"}, {"ref": "kimtaehun/mohs-hardness-prediction-with-ensemble", "kernel_id": "46160522"}, {"ref": "vinitkp/regression-mohs-hardness", "kernel_id": "46227217"}, {"ref": "vinitkp/mohs-hardness-w-mae-rmse-r2-in-r", "kernel_id": "46486864"}, {"ref": "hubert101/pg-s03e25-your-universal-data-visualization-pipe", "kernel_id": "46364777"}, {"ref": "bill2bill/s03e25-rocks-for-president-votingregressor", "kernel_id": "46741164"}, {"ref": "bill2bill/s03e25-eda", "kernel_id": "46523242"}, {"ref": "datanalystbiju/eda-model-drift-pca", "kernel_id": "46230323"}, {"ref": "stpeteishii/pgs-s3e25-gradientboosting", "kernel_id": "46554072"}, {"ref": "stpeteishii/pgs-s3e25-extratrees", "kernel_id": "46554078"}, {"ref": "stpeteishii/pgs-s3e25-ensemble-w-votingregressor", "kernel_id": "46599721"}, {"ref": "stpeteishii/pgs-s3e25-ensemble-w-stackingregressor", "kernel_id": "46562278"}, {"ref": "stpeteishii/pgs-s3e25-pytorch-lightning-linear", "kernel_id": "46442969"}, {"ref": "stpeteishii/pgs-s3e25-ladregression", "kernel_id": "46480953"}, {"ref": "stpeteishii/pgs-s3e25-kneighbors", "kernel_id": "46480970"}, {"ref": "stpeteishii/pgs-s3e25-histgradient", "kernel_id": "46480973"}, {"ref": "stpeteishii/pgs-s3e25-randomforest", "kernel_id": "46242405"}, {"ref": "stpeteishii/pgs-s3e25-linearregression", "kernel_id": "46245248"}, {"ref": "stpeteishii/pgs-s3e25-xgb1", "kernel_id": "46196982"}, {"ref": "stpeteishii/pgs-s3e25-catb1", "kernel_id": "46196110"}, {"ref": "stpeteishii/pgs-s3e25-lgbm1", "kernel_id": "46189403"}, {"ref": "stpeteishii/pgs-s3e25-ensemble-w-optuna", "kernel_id": "46189407"}, {"ref": "stpeteishii/pgs-s3e25-supportvectorregressor", "kernel_id": "46247933"}, {"ref": "stpeteishii/pgs-s3e25-decisiontreeregressor", "kernel_id": "46246606"}, {"ref": "stpeteishii/pgs-s3e25-fastai-with-tabularpandas", "kernel_id": "46296730"}, {"ref": "stpeteishii/pgs-s3e25-pytorch-lightning-linear2", "kernel_id": "46738549"}, {"ref": "stpeteishii/pgs-s3e25-automl", "kernel_id": "46742052"}, {"ref": "lasm1984/my-beauty-notebook", "kernel_id": "46516064"}, {"ref": "memocan/predicting-mineral-hardness-with-cool-ml-tricks", "kernel_id": "46451179"}, {"ref": "maxim9012/playground-series-s3e25", "kernel_id": "46375789"}, {"ref": "kjihwan/easy-code-with-pycaret", "kernel_id": "46219999"}, {"ref": "kjihwan/ps3e25-benchmark-for-automl-methods-6-automl", "kernel_id": "46890804"}, {"ref": "anzarwani2/s3-ep25-pred-mohs-hardness", "kernel_id": "46362783"}, {"ref": "anzarwani2/superficial-solution", "kernel_id": "46309892"}, {"ref": "mpwolke/playground-s3e25-resumetable", "kernel_id": "46271355"}, {"ref": "mpwolke/hardness-6-scales-2-f-mohs-and-1-ehscore", "kernel_id": "46255965"}, {"ref": "mpwolke/mohs-resistance-to-being-scratched", "kernel_id": "46159586"}, {"ref": "syerramilli/ps3e25-tabular-resnet-optuna", "kernel_id": "46326350"}, {"ref": "syerramilli/ps3e25-lightgbm-optuna", "kernel_id": "46203009"}, {"ref": "kristobalh/regression-with-a-mohs-hardness-dataset", "kernel_id": "46851019"}, {"ref": "racecar09/quick-and-dirty-mohs-hadness-via-nn-s3e25", "kernel_id": "46535986"}, {"ref": "kroha5/simple-nn-pytorch-version", "kernel_id": "46731296"}, {"ref": "minhtien1405/data-understanding-and-dummy-model-with-pytorch", "kernel_id": "46574258"}, {"ref": "nicobarea/s3e25-cat-lgbm-rf-w-medae", "kernel_id": "46448441"}, {"ref": "wordcards/pgs3-25-quantile-regression-lightgbm", "kernel_id": "46607688"}, {"ref": "amgedelshiekh/pg-s3e25-mohs-hardness-eda-ml-dl-blender", "kernel_id": "46846222"}, {"ref": "mexwell/ps3e25-mohs-hardness-regression-starter", "kernel_id": "46177030"}, {"ref": "keitashimizu21/explanatory-data-of-prediction-of-mohs-hardness", "kernel_id": "46185271"}, {"ref": "gregoryklevans/mohs-hardness-eda-transformation-xgboost-ann", "kernel_id": "46162388"}, {"ref": "yashasvimisra/lgbm-regression-mohs-hardness-s3-e25", "kernel_id": "46548275"}, {"ref": "seanandrie/ps-s3-e25-regression-with-pytorch-lightning", "kernel_id": "46236656"}, {"ref": "akioonodera/ps3-25-reg-tf-keras", "kernel_id": "46158655"}, {"ref": "yeonseokcho/predict-mohs-hardness", "kernel_id": "46799807"}, {"ref": "umarzafar/mohs-hardness-prediction-hgbr-ada-rf-cat", "kernel_id": "46651344"}, {"ref": "tracyporter/play-3-25-sklearn-regression-corr", "kernel_id": "46501987"}, {"ref": "tracyporter/play-3-25-jax-regression-corr", "kernel_id": "46471862"}, {"ref": "tracyporter/play-3-25-jax-regression-no-kolmogorov", "kernel_id": "46455464"}, {"ref": "tracyporter/play-3-25-jax-regression-no-scale", "kernel_id": "46451483"}, {"ref": "tracyporter/play-3-25-jax-regression", "kernel_id": "46448143"}, {"ref": "luistalavera/ps-s3-e25-mohs-hardness-eda", "kernel_id": "46428336"}, {"ref": "luistalavera/pg-s3-e25-ft-transformer", "kernel_id": "46466745"}, {"ref": "thomasmeiner/ps3e25-ensembling-50-models", "kernel_id": "46781795"}, {"ref": "thomasmeiner/ps3e25-automl-from-scratch", "kernel_id": "46358778"}, {"ref": "thomasmeiner/pses25-median-is-the-algorithm", "kernel_id": "46337164"}, {"ref": "thomasmeiner/pses25-distribution-learning", "kernel_id": "46343324"}, {"ref": "thomasmeiner/ps3e25-treat-hardness-as-multiclass-problem", "kernel_id": "46212917"}, {"ref": "thomasmeiner/ps3e25-become-a-feature-selection-master", "kernel_id": "46233776"}, {"ref": "thomasmeiner/ps3e25-tabnet-tuned", "kernel_id": "46168728"}, {"ref": "thomasmeiner/ps3e25-lgbm-tuned", "kernel_id": "46168291"}, {"ref": "thomasmeiner/ps3e25-eda-and-baseline", "kernel_id": "46166354"}, {"ref": "radturkin/notebook20ecf412fa", "kernel_id": "46277460"}, {"ref": "ahirao/playgrounds3e25-plot-histgram-train-and-test", "kernel_id": "46443090"}, {"ref": "mawro73/make-prediction-with-pipline-optuna-20", "kernel_id": "46188587"}, {"ref": "setyoab/ps3e25-mohs-hardness-lgbm", "kernel_id": "46448050"}, {"ref": "gullude/lgbm-and-histboosting", "kernel_id": "46562368"}, {"ref": "gullude/basic-neural-network", "kernel_id": "46670134"}, {"ref": "gullude/3-25-basic-gradient-boosting", "kernel_id": "46348251"}, {"ref": "gullude/3-25-using-gradient-boosting-and-mutual-info", "kernel_id": "46448068"}, {"ref": "xxxzayh/overfitting", "kernel_id": "46564716"}, {"ref": "mcpenguin/ps3e25-regression-with-mohs-eda-baseline", "kernel_id": "46159044"}, {"ref": "loki4514/ps3e25-optuna-tuning-and-votingregressor", "kernel_id": "46231058"}, {"ref": "pohzixiang/pse325-pca-xgboost-with-tuning", "kernel_id": "46168871"}, {"ref": "hikmatullahmohammadi/mohs-hardness-prediction-eda", "kernel_id": "46168842"}, {"ref": "pramodiasuka/hardeness-prediction-lgbm", "kernel_id": "46196977"}, {"ref": "jimgruman/mohs-hardness-with-brulee-in-torch", "kernel_id": "46774426"}, {"ref": "jimgruman/mohs-hardness-lgbm-twice", "kernel_id": "46816735"}, {"ref": "jimgruman/mohs-hardness-regression", "kernel_id": "46423028"}, {"ref": "jimgruman/mohs-hardness", "kernel_id": "46454240"}, {"ref": "tudoritazaharia/2d-mohs-regresssion", "kernel_id": "46882197"}, {"ref": "alicanpayasli/hardness-first-try-0-66-median-absolute-error", "kernel_id": "46203630"}, {"ref": "alicanpayasli/tf-xgboost-0-44-public-score", "kernel_id": "46467920"}, {"ref": "swapnilnarwade/ps3e25-advanced-regression-techniques", "kernel_id": "46474630"}, {"ref": "liviam/mohs-hardness-regression-competition", "kernel_id": "46246200"}, {"ref": "eddieamimo/catboost-pipeline", "kernel_id": "46453201"}, {"ref": "jocelyndumlao/comprehensive-exploration-of-material-hardness", "kernel_id": "46439290"}, {"ref": "jocelyndumlao/20-regression-algorithms-mohs-hardness-prediction", "kernel_id": "46336801"}, {"ref": "jocelyndumlao/autoreg-modeling-prediction-of-mohs-hardness", "kernel_id": "46172722"}, {"ref": "jocelyndumlao/predicting-mohs-hardness-w-mae-rmse-r2-in-r", "kernel_id": "46277272"}, {"ref": "mbalos/mohs-hardness-exploratory-data-analysis", "kernel_id": "46310635"}, {"ref": "mbalos/the-power-of-decision-stumps", "kernel_id": "46563892"}, {"ref": "tuhinm2002/mohs-hardness-eda", "kernel_id": "46302632"}, {"ref": "ryanml2/playground-series-3-hard-rocks", "kernel_id": "46239841"}, {"ref": "abhirupghosh184098/mohs-hardness-fnn-predictor", "kernel_id": "46980923"}, {"ref": "gabrielbuchhorn/pyspark-moment", "kernel_id": "46534313"}, {"ref": "m1y7k8/s3-e25-mohsscale-eda-rf", "kernel_id": "46504046"}, {"ref": "barbagrande007/bbg007-s3e25-mohshardness", "kernel_id": "46272955"}, {"ref": "ainjhamn526/ps-3-25-predict-hardness", "kernel_id": "46452943"}, {"ref": "xiaochuanyang/minmax-transform-and-histgbr-model", "kernel_id": "46744769"}, {"ref": "xiaochuanyang/reverse-imputation-of-non-physical-zeros", "kernel_id": "46824478"}, {"ref": "satyaprakashshukl/regression-ensemble-boost", "kernel_id": "46165353"}, {"ref": "satyaprakashshukl/eda-hardness-dataprep", "kernel_id": "46164899"}, {"ref": "satyaprakashshukl/regression-with-neural-network", "kernel_id": "46279122"}, {"ref": "rm1000/xgboost-and-optuna-pipeline-demonstration", "kernel_id": "46654697"}, {"ref": "hosseinbehjat/complete-eda-pss3e25", "kernel_id": "46313885"}, {"ref": "ravi20076/playgrounds3e25-eda-baseline", "kernel_id": "46161118"}, {"ref": "ravi20076/playgrounds3e25-eda-baseline-v2", "kernel_id": "46729073"}, {"ref": "owenhochwald/regression-with-mohs-hardness-dataset-using-lr", "kernel_id": "46638691"}, {"ref": "owenhochwald/regression-with-mohs-hardness-dataset", "kernel_id": "46636659"}, {"ref": "sujaykapadnis/ps-s3e21-feature-distribution", "kernel_id": "46705161"}, {"ref": "vanphung/mohs-hardness-regression", "kernel_id": "46854980"}, {"ref": "mariusmartinaitis/regression-with-a-mohs-hardness-dataset", "kernel_id": "46511153"}, {"ref": "klyushnik/amateur-work", "kernel_id": "46230806"}, {"ref": "mohamedayoubchettouh/classification-problem", "kernel_id": "46456864"}, {"ref": "hamzanabil/pycaret", "kernel_id": "46591837"}, {"ref": "suraj520/ps-s3-e25-median-stacking-with-lda-voting", "kernel_id": "46175162"}, {"ref": "msarvesh/mohs-hardness-using-gradientboosting", "kernel_id": "46677247"}, {"ref": "snehakurmi/feature-eng-model-designing", "kernel_id": "46370522"}, {"ref": "wintersbae/playground-s3e25-mohs-hardness-prediction", "kernel_id": "46163243"}, {"ref": "jominjae/mohs-hardness-regression", "kernel_id": "46570824"}, {"ref": "iqmansingh/mohs-hardness-shortest-code-lb-0-5", "kernel_id": "46226789"}, {"ref": "iqmansingh/mohs-hardness-starter-notebook", "kernel_id": "46167675"}, {"ref": "iqmansingh/mohs-hardness-nn-lgbm-cat-xgb-voting", "kernel_id": "46170250"}, {"ref": "rajeshsingh3474/playground-series-s3e25", "kernel_id": "46741833"}, {"ref": "larjeck/regression-with-a-mohs-hardness-dataset-optimal", "kernel_id": "46399607"}, {"ref": "sunny7712/s3-e25-eda-baseline", "kernel_id": "46200501"}, {"ref": "uzairshafique/mohs-randomforest-catboost-lgbm-xgboost", "kernel_id": "46525453"}, {"ref": "uzairshafique/mohs-hardness-regression-lr-rf-gb-svr", "kernel_id": "46649547"}, {"ref": "uzairshafique/mohs-hardness-regression-randomforestregressor", "kernel_id": "46489496"}, {"ref": "uzairshafique/mohs-hardness-xgboost-regressor", "kernel_id": "46455460"}, {"ref": "uzairshafique/regression-mohs-hardness-dataset-xgboost-model", "kernel_id": "46459522"}, {"ref": "zonwie/s13e25-2-eda-neural-network", "kernel_id": "46580595"}, {"ref": "zonwie/s13e25-1-eda-feature-importace-neural-network", "kernel_id": "46179577"}, {"ref": "omega11/mohs-hardness", "kernel_id": "46984160"}, {"ref": "ahmed3okka/pg-s3-e25-modeling-rf-submission", "kernel_id": "46158691"}, {"ref": "patriciabrezeanu/s3e25-lightgbm-optuna", "kernel_id": "46232436"}, {"ref": "kapturovalexander/kapturov-s-solution-of-ps-s3e25", "kernel_id": "46158451"}, {"ref": "samvelkoch/375-features-to-add-openfe", "kernel_id": "46398054"}, {"ref": "ukdemirtas/playgroundse3ep25-eda-lgbm-nn", "kernel_id": "46883157"}, {"ref": "gulsunai/regression-with-a-mohs-hardness-dataset-gi", "kernel_id": "46244279"}, {"ref": "kundanrao/competition-regression-mohs-hardness", "kernel_id": "46876122"}, {"ref": "iqbalsyahakbar/ps3e25-mohs-hardness-regression-for-beginners", "kernel_id": "46159344"}, {"ref": "riainoo/statistics-ryan-jacobs", "kernel_id": "46836342"}, {"ref": "aniketarpathak/mohs-hardness-data-analysis-and-prediction", "kernel_id": "46951824"}, {"ref": "beastar3104/regression-with-a-mohs-hardness-dataset", "kernel_id": "46164747"}, {"ref": "imnandini/regression-with-mohs-hardnesss", "kernel_id": "46243772"}, {"ref": "yaaangzhou/pg-s3-e25-eda-modeling", "kernel_id": "46217847"}, {"ref": "hridaym25/easy-optuna-lgbm", "kernel_id": "46171249"}, {"ref": "hridaym25/agglomerative-clustering-easy-neural-network", "kernel_id": "46461651"}, {"ref": "dumanmesut/mohs-hardness-prediction-cat-lgbm-xgb", "kernel_id": "46162128"}, {"ref": "danishelahi/predicting-the-hardness-of-materials", "kernel_id": "46528654"}, {"ref": "abhijitdarekar001/featrureeng-xgboost-hyperparamoptimization", "kernel_id": "46171845"}, {"ref": "daskoushik/time-series", "kernel_id": "46417149"}, {"ref": "hasibullahaman/mohs-hardness-lgbm-catboost-xgb", "kernel_id": "46159620"}, {"ref": "devanshibavaria/mohs-hardness-nn-lgbm-cat-xgb", "kernel_id": "46683591"}, {"ref": "kitoryyeah/basicneuralnet-baseline-mohs-hardness-prediction", "kernel_id": "46248441"}, {"ref": "richeyjay/mohs-hardness-quick-eda", "kernel_id": "46167555"}, {"ref": "francescoliveras/ps-s3-e25-eda-model-en-es", "kernel_id": "46170903"}, {"ref": "iftekharalammitu/mohs-hardness-multiple-modeling-prediction", "kernel_id": "46390168"}, {"ref": "aaradhyabadal/cv-0-6228-eda-best-feature-model-lgbm-tuned", "kernel_id": "46359524"}, {"ref": "rajsahu2004/randomizedsearhcv", "kernel_id": "46519291"}, {"ref": "michaeltezak/eda-stacking-model", "kernel_id": "46724229"}, {"ref": "ucas0v0zhuoqunli/eda-pytorch-optuna", "kernel_id": "46277086"}, {"ref": "ucas0v0zhuoqunli/eda-quick-automl-baseline", "kernel_id": "46166332"}, {"ref": "bedynoag/eda-for-beginners", "kernel_id": "46566521"}, {"ref": "bedynoag/eda-diff-feature-selection-techn", "kernel_id": "46639838"}, {"ref": "yasiir/regression-on-mohs-hardness-data", "kernel_id": "46632868"}, {"ref": "darshan77879/pg-s3-e25-nn-eda", "kernel_id": "46449623"}, {"ref": "tatianakushniruk/mohs-hardness-eda-stacked-regressions", "kernel_id": "46177537"}, {"ref": "divyanshuchaubey/regression-desicion", "kernel_id": "46820671"}, {"ref": "tarundirector/hardness-prediction-eda-optuna-lgmb", "kernel_id": "46399094"}, {"ref": "abaliyan/mohs-hardness-s3e25-version-1", "kernel_id": "46773266"}, {"ref": "natchaphonkamhaeng/pg-regression-with-a-mohs-hardness", "kernel_id": "46186890"}, {"ref": "anopsy/feature-transformation-mohs-hardness", "kernel_id": "46737621"}, {"ref": "anopsy/eda-baseline-mohs-hardness", "kernel_id": "46733958"}, {"ref": "alexeyk12/experiment-with-generating-features", "kernel_id": "46584350"}, {"ref": "anmuser/mohs-hardness", "kernel_id": "46197132"}, {"ref": "xjj1234/regression-with-a-mohs-hardness-dataset-optimal", "kernel_id": "46480127"}, {"ref": "xjj1234/mohs-hardness-eda-transformation-xgboost-ann", "kernel_id": "46451265"}, {"ref": "keishibata/ps3-s3e25-eda-xgb", "kernel_id": "46390292"}, {"ref": "enricomanosperti/regression-with-a-mohs-hardness-dataset", "kernel_id": "46184977"}, {"ref": "m000sey/ps-3-25-predicting-hardness-w-boosts-nn", "kernel_id": "46213152"}, {"ref": "anjanakittu/mohs-hardness-prediction-of-minerals", "kernel_id": "46958674"}, {"ref": "eishkaran/lgbm-basic-notebook", "kernel_id": "46749223"}, {"ref": "vishnupriyagarige/mohs-hardness-regression", "kernel_id": "46316632"}, {"ref": "yunsuxiaozi/pss3e25-trick-is-all-you-need-top25", "kernel_id": "46774227"}, {"ref": "yunsuxiaozi/pss3e25-the-coincidence-of-nn", "kernel_id": "46720587"}, {"ref": "yunsuxiaozi/pss3e25-pytorch-nn", "kernel_id": "46727850"}, {"ref": "yunsuxiaozi/pss3e25-generate-data", "kernel_id": "46948024"}, {"ref": "yunsuxiaozi/pss3e25-baseline-optuna-lgbm", "kernel_id": "46158679"}, {"ref": "yunsuxiaozi/pss3e25-study-note", "kernel_id": "46163716"}, {"ref": "yunsuxiaozi/pss3e25-transform-regression-to-classify", "kernel_id": "46486078"}, {"ref": "yunsuxiaozi/pss3e25-learn-to-use-lightautoml", "kernel_id": "46404887"}, {"ref": "yunsuxiaozi/pss3e25-study-note-tensorflow-with-nn", "kernel_id": "46557771"}, {"ref": "mandritsamikhail/eda-useful-baselines-xgb-lgbm-optuna-nn", "kernel_id": "46709148"}, {"ref": "vstacknocopyright/mohs-hardness-prediction-using-random-forest-regn", "kernel_id": "46486991"}, {"ref": "debamritapaul/mohs-hardness-regression-with-neural-network", "kernel_id": "46305127"}, {"ref": "hamsawahed98/mohs-hardness", "kernel_id": "46474146"}, {"ref": "neupane9sujal/regression-for-mohs-hardness", "kernel_id": "46965455"}, {"ref": "jacobshaheen/regression-of-mohs-hardness-competition", "kernel_id": "46162500"}, {"ref": "joaquinmorillas/dnn-regression", "kernel_id": "46520741"}, {"ref": "yantxx/catboost-regressor-mohs-hardness-prediction", "kernel_id": "46160063"}, {"ref": "saipraveenreddyallam/basic-model-gbdt-rf-xgb-lgbm", "kernel_id": "46628181"}, {"ref": "mateuszk013/playground-series-s3e25-mohs-hardness", "kernel_id": "46452355"}, {"ref": "utkarshx27/mohs-hardness-dataset-analysis-model", "kernel_id": "46165611"}, {"ref": "lucasrathgeb/mohs-hardness-prediction", "kernel_id": "46574778"}, {"ref": "juozaskadusauskas/eda-xgb-boost", "kernel_id": "46458782"}, {"ref": "saurabhru/mohs-hardness-dataset", "kernel_id": "46255081"}, {"ref": "bertanpank/ps3e25-base-ensemble", "kernel_id": "46246449"}, {"ref": "bertanpank/ps3e25-pycaret-adversial-validation", "kernel_id": "46244351"}, {"ref": "arunklenin/ps3e25-material-hardness-prediction-with-ml", "kernel_id": "46166446"}, {"ref": "mokshbaweja/baseline-beginner", "kernel_id": "46196359"}, {"ref": "gigity/notebooke2123501ef", "kernel_id": "46488182"}, {"ref": "gigity/nn-but-linear", "kernel_id": "46493655"}, {"ref": "gigity/linear-regression-with-julia", "kernel_id": "46286790"}, {"ref": "dreygaen/ps3e25-mohs-hardness-ensembling-method", "kernel_id": "46158699"}, {"ref": "rukenmissonnier/for-beginners-feature-engineering-prediction", "kernel_id": "46173883"}, {"ref": "vishwasmishra1234/notebook0c0296f258", "kernel_id": "46209757"}, {"ref": "fatmanurcetnturk/regression-with-a-mohs-hardness", "kernel_id": "46791216"}, {"ref": "pacesetter55/regression-with-xgboost", "kernel_id": "46638332"}, {"ref": "vishsin01/histgradientboost-regressor-optuna-beginner", "kernel_id": "46311296"}, {"ref": "coinshot/mohs-hardness-model", "kernel_id": "46500057"}, {"ref": "prathamghoshroy/regressionwithmohshardness-xgbregressor", "kernel_id": "46937427"}, {"ref": "patrakeevvalentin/my-first-laptop-mohs-hardness", "kernel_id": "46671494"}, {"ref": "tonyyunyang/regression-with-a-mohs-hardness-dataset", "kernel_id": "46557167"}, {"ref": "aravindpcoder/regression-with-a-mohs-hardness-dataset", "kernel_id": "46163194"}, {"ref": "vladys/notebookc4f8261cce", "kernel_id": "46619215"}, {"ref": "mainscientist/ps-s3e25", "kernel_id": "46195504"}, {"ref": "giabchnguyn/mohs-hardness", "kernel_id": "46718384"}, {"ref": "sovinasahni/mohs-hardness-baseline", "kernel_id": "46160163"}, {"ref": "yldzburhan/s3e25-predicting-mohs-hardness-lgbm-xgb", "kernel_id": "46174270"}, {"ref": "armanzhalgasbayev/ps-s3-e25-mohs-hardness-regression-tf", "kernel_id": "46314802"}, {"ref": "spiritedcoder/mohs-hardness-dataset-regression", "kernel_id": "46869325"}, {"ref": "raaggeesingh/playground-series-s3e25", "kernel_id": "46700781"}, {"ref": "raaggeesingh/mohs-hardness-playground-series-se3ep25", "kernel_id": "46288713"}, {"ref": "marianoweimer/predictive-analysis-of-mohs-hardness-in-minerals", "kernel_id": "46532589"}, {"ref": "huseyinbaytar/s3e25-regression-with-mohs", "kernel_id": "46174131"}, {"ref": "ddosad/mohs-hardness-eda-pycaret-automl", "kernel_id": "46166890"}, {"ref": "himanshuydv11/playground-s3e25-mohs-hardness", "kernel_id": "46796402"}, {"ref": "antoinebourgois2/notebook7bb2c112f5", "kernel_id": "46591326"}, {"ref": "vai15r32/mohs-hardness-prediction", "kernel_id": "46388359"}, {"ref": "thehustler2003/s3ep25-pytorch-nn", "kernel_id": "46602520"}, {"ref": "hazmannaim/mohs-hardness-prediction-ann-meta-learner-top-28", "kernel_id": "46453429"}, {"ref": "cheesegue/eda-mohs-hardness", "kernel_id": "46984753"}, {"ref": "shivanshgupta67/hardness-prediction", "kernel_id": "46234593"}, {"ref": "fazilamirli/outlier-identification-tutorial", "kernel_id": "46435246"}, {"ref": "fazilamirli/playground-series-notebook-s3e25", "kernel_id": "46366250"}, {"ref": "syedsubahani/mohs-hardness-eda-fe-ensemble-voting", "kernel_id": "46369978"}, {"ref": "syedsubahani/predict-the-mohs-hardness-of-a-mineral", "kernel_id": "46172383"}, {"ref": "theusman/building-the-moh-regression-wonderland", "kernel_id": "46221811"}, {"ref": "serhiikharchuk/my-version", "kernel_id": "46587618"}, {"ref": "joseelisei/regression-mohs-hardness-bayesian-optimization", "kernel_id": "46263252"}, {"ref": "bhumitdevni/moth-hardness", "kernel_id": "46889697"}, {"ref": "batuhansenerr/mohs-hardness-prediction-with-voting-regressors", "kernel_id": "46690664"}, {"ref": "taichiuemura/ps3e25-classification-regression", "kernel_id": "46893961"}, {"ref": "pluspin/pgs-s3-e25-with-pipeline", "kernel_id": "46158636"}, {"ref": "pluspin/pgs-s3-e25-bagging-regressor", "kernel_id": "46277169"}, {"ref": "yunusemregktrk/ps3e25-regression-with-nn", "kernel_id": "46171267"}, {"ref": "jclohjc/mohs-hardness-prediction-using-regression-model", "kernel_id": "46925607"}, {"ref": "sarunpm/topper-comparision-mohs-hardness", "kernel_id": "46366517"}, {"ref": "sarunpm/mohs-hardness-optuna-xg-lg-hg-gb-cv-beginner", "kernel_id": "46202418"}, {"ref": "sunilkumaradapa/stacked-ensemble-strategies-for-kaggle", "kernel_id": "46177814"}, {"ref": "sunilkumaradapa/ebm-for-tabular-data", "kernel_id": "46503800"}, {"ref": "kohlijorawar/hardness-prediction", "kernel_id": "46478172"}, {"ref": "tonyyunyang99/luck-is-all-you-need", "kernel_id": "46594235"}, {"ref": "tonyyunyang99/regression-with-a-mohs-hardness-dataset", "kernel_id": "46448721"}, {"ref": "aaronalbrecht/hardness-contest", "kernel_id": "46381069"}, {"ref": "xfolia/hardness-predict", "kernel_id": "46517043"}, {"ref": "sid4ds/ps-s3e25-simple-baseline-cv-setup", "kernel_id": "46166597"}, {"ref": "sid4ds/ps-s3e25-xgboost-optuna", "kernel_id": "46232274"}, {"ref": "wpradovich/mohs-hardness-competition", "kernel_id": "46316126"}, {"ref": "electricweasle/mohs-hardness-solution", "kernel_id": "47361445"}, {"ref": "steffenhaeussler/mohs-hardness-model-explainer-for-neuralnets", "kernel_id": "47509766"}, {"ref": "ianchute/autogluon-quick-quantile-model", "kernel_id": "47016675"}, {"ref": "kabak09/mohs-hardness", "kernel_id": "47300560"}, {"ref": "freshoats/mohs-regression-with-random-forest-and-bayes-opt", "kernel_id": "47205215"}, {"ref": "shuthdar/rbf-features-and-outlier-removal-with-dbscan", "kernel_id": "47110315"}, {"ref": "herczeggyrgy/xgboost-mohs-hardness", "kernel_id": "47050974"}, {"ref": "chestadhingra/prediction-datadriftanalysis-deepnn", "kernel_id": "47231268"}, {"ref": "chestadhingra/updated-notebook", "kernel_id": "47292782"}, {"ref": "vinitkp/mohshardness-regression", "kernel_id": "47294438"}, {"ref": "roronoazorox/notebook-s3-e25-for-beginners", "kernel_id": "47239488"}, {"ref": "lasm1984/simple-clusters-classification-run-6-sec", "kernel_id": "47067169"}, {"ref": "yutodennou/competition-lightgbm-and-nn", "kernel_id": "47298150"}, {"ref": "maksahu/univariate-exploratory-data-analysis", "kernel_id": "47315719"}, {"ref": "markuslill/s3e25-mohs-hardness-xgbclassifier", "kernel_id": "47115137"}, {"ref": "rahulcris07/mohs-hardness-pred-eda-all-reg-models-rsqr-0-39", "kernel_id": "47301335"}, {"ref": "digitsingh/neural-network-with-sklearn-pipeline", "kernel_id": "47160805"}, {"ref": "thomasmeiner/ps3e25-bluecast-automl", "kernel_id": "47203708"}, {"ref": "sameerkulkarni126/mohs-hardness", "kernel_id": "47849271"}, {"ref": "ttbrosltd/mohshardness-dataset", "kernel_id": "47075232"}, {"ref": "abhinandansamal/mohshardness-randomforestregressor", "kernel_id": "47313989"}, {"ref": "yuvannabawa/lgbm-nn", "kernel_id": "47195634"}, {"ref": "adnananam/predicting-mohr-hardness-of-minerals", "kernel_id": "47449122"}, {"ref": "kazumatokuda/cross-validated-keras-regression-for-mohs-hardne", "kernel_id": "47292380"}, {"ref": "samrat12/regression-with-a-mohs-hardness", "kernel_id": "47355955"}, {"ref": "nithishar/notebookb2ff82296f", "kernel_id": "47170476"}, {"ref": "dhineshbabbu/adb-mohs-hardness-prediction", "kernel_id": "47099998"}, {"ref": "uzairshafique/mohs-regression-rf-lgbm-catboost-catboost-ensemble", "kernel_id": "47162974"}, {"ref": "brpuneet898/notebook-s3-e25-for-beginners", "kernel_id": "47059426"}, {"ref": "hallojong0319/ensemble-algorithm-super-learner-ctgan", "kernel_id": "47319327"}, {"ref": "oyebamijimicheal/mohs-hardness-eda-fe-optuna", "kernel_id": "47061652"}, {"ref": "vedant2003pandey/mohs-hardness", "kernel_id": "47299337"}, {"ref": "meesh11/s3e25-example-approach", "kernel_id": "47128296"}, {"ref": "meesh11/s3e25-approach-w-tensorflow", "kernel_id": "47166409"}, {"ref": "denywisnu/hardness-prediction-using-random-forest-regressor", "kernel_id": "47212056"}, {"ref": "michaeltezak/comparison-shallow-deep-voting-stacking", "kernel_id": "47311337"}, {"ref": "yctsaiyc/deda-assignment", "kernel_id": "47503685"}, {"ref": "anopsy/keras-for-mohs", "kernel_id": "47047215"}, {"ref": "anopsy/brute-force-fe-and-keras", "kernel_id": "47134602"}, {"ref": "andy120198/regression-with-a-mohs-hardness-dataset", "kernel_id": "47337144"}, {"ref": "talhaturab/regression-with-a-mohs-hardness-0-25-mae", "kernel_id": "47342087"}, {"ref": "m000sey/ps-3-25-eda-new-features-and-lgbm-hgb", "kernel_id": "47059147"}, {"ref": "yunsuxiaozi/pss3e25-study-note-classifier", "kernel_id": "47142232"}, {"ref": "iamabhaytiwari/mohs-hardness-dataset", "kernel_id": "47110466"}, {"ref": "nimroddadush/fork-of-1st-prediction", "kernel_id": "47735866"}, {"ref": "lucasrathgeb/moh-s-hardness-classification-with-xgboost", "kernel_id": "47051858"}, {"ref": "yeohhanyi/regression-mohs-hardness", "kernel_id": "47866864"}, {"ref": "kirtanmatalia26/regression-with-a-mohs-hardness-dataset", "kernel_id": "47850480"}, {"ref": "avneets2103/hardness-predictor", "kernel_id": "47312539"}, {"ref": "abdoashraf90/mohs-hardness-prediction", "kernel_id": "47001093"}, {"ref": "imtommi/mohs-hardness-reg", "kernel_id": "47178831"}, {"ref": "chiragthakur099/mohshardness-dataset", "kernel_id": "47110244"}, {"ref": "chiragthakur099/hardness-mohs", "kernel_id": "47004072"}, {"ref": "chiragthakur099/hardyness-mohs", "kernel_id": "47029537"}, {"ref": "chiragthakur099/hardy-mohs", "kernel_id": "47049365"}, {"ref": "chiragthakur099/stone-tone-mohs", "kernel_id": "47057973"}, {"ref": "chiragthakur099/mohs-hardness-dataset", "kernel_id": "47061436"}, {"ref": "swufeleo/hardness-tabnet", "kernel_id": "47129422"}, {"ref": "taichiuemura/ps3e25-decision-tree", "kernel_id": "47040523"}, {"ref": "fanhuaiyuan/my-tabular-practice-notebook", "kernel_id": "47400543"}, {"ref": "prashikmeshram37/mohs-hardness-of-minerals", "kernel_id": "47248004"}, {"ref": "lnzbati/mohs-hardness-predictions-with-machine-learning", "kernel_id": "47107265"}, {"ref": "sonhoangvu/ps3e25-mohs-hardness-prediction-xgb", "kernel_id": "47019969"}, {"ref": "sid4ds/ps-s3e25-lightgbm-optuna", "kernel_id": "47289540"}, {"ref": "fabienpv/3rd-place-solution-simple-r-classifier", "kernel_id": "47325658"}, {"ref": "yejinyang02/real-mldl-challange", "kernel_id": "47103983"}, {"ref": "liamhealy/ml-comparative-analysis", "kernel_id": "48655510"}, {"ref": "cid007/mohs-hardness-h2o-optuna", "kernel_id": "48292990"}, {"ref": "ehtishamsadiq/prediction-of-mohs-hardness-with-machine-learning", "kernel_id": "48121273"}, {"ref": "mdismielhossenabir/regression-with-a-mohs-hardness-dataset", "kernel_id": "48870983"}, {"ref": "pritamrajbhar/regression-with-a-mohs-hardness-dataset", "kernel_id": "48115552"}, {"ref": "jhinxzed/catboostregressor-score-0-6", "kernel_id": "48759264"}, {"ref": "aryansingh0909/tps-s3e25", "kernel_id": "48384270"}, {"ref": "yctsaiyc/deda-assignment1", "kernel_id": "48082234"}, {"ref": "tarundirector/binary-classification-bank-churn-eda", "kernel_id": "48912659"}, {"ref": "saswattulo/mohshardness-prediction-with-0-64-medae", "kernel_id": "48876327"}, {"ref": "saliharanauzun/regression-with-a-crab-age-dataset", "kernel_id": "48654877"}, {"ref": "saliharanauzun/regression-mohs-hardness", "kernel_id": "48536894"}, {"ref": "bandou/mors-1", "kernel_id": "48324230"}, {"ref": "stpeteishii/ps-s4e1-ensemble-w-votingregressor", "kernel_id": "49031972"}, {"ref": "riganeez/enhance-predictions-with-ensemble-methods", "kernel_id": "49786334"}, {"ref": "naimish07/mohs-hardness-using-regression", "kernel_id": "49812286"}, {"ref": "arpitppatel/regression-template-ps3e25", "kernel_id": "49625089"}, {"ref": "anibansal/mohs-hardness-using-regression", "kernel_id": "49759198"}, {"ref": "akelsayed/mohs-hardness-dataset-regression-model-ak-1", "kernel_id": "49429337"}, {"ref": "belonovskiypeter/lightautoml-shapley-values-example", "kernel_id": "49578958"}, {"ref": "shamsin/notebook0ba80fb059", "kernel_id": "49736715"}, {"ref": "nikhilchadha1537/regression-with-a-mohs-hardness-dataset-by-nikhil", "kernel_id": "49768785"}, {"ref": "sveachawla/multiple-linear-regression", "kernel_id": "49579508"}, {"ref": "chhavidhankhar11/regression-with-a-mohs-hardness-dataset", "kernel_id": "49448452"}, {"ref": "maheshmani13/regression-playground-svr", "kernel_id": "49705800"}, {"ref": "eduardomarinho44/linear-regression-mohs-hardness-competition", "kernel_id": "49779888"}, {"ref": "rohangulati14/best-solution-for-mohs-hardness-dataset", "kernel_id": "49891132"}, {"ref": "jandyndor/regression-with-a-mohs-hardness-dataset", "kernel_id": "49616081"}, {"ref": "muratbakirr/good-approach", "kernel_id": "49606379"}, {"ref": "abhinavvvvvvvvvv/easiest-regression-with-a-mohs-hardness-dataset", "kernel_id": "49786270"}, {"ref": "akshitaakshita/mohs-hardnessbeginnerfriendly", "kernel_id": "49530794"}, {"ref": "vanshikam28/notebook018908b202", "kernel_id": "49795742"}, {"ref": "kkamal2003/regression-with-a-mohs-hardness", "kernel_id": "49143824"}, {"ref": "shivamvermathapar/mohs-hardness-beginner-friendly-linear-regression", "kernel_id": "49828545"}, {"ref": "pritishpriyam4/hardness-dataset", "kernel_id": "49532001"}, {"ref": "navjotkaur1312/regression-with-mohs-hardness-dataset", "kernel_id": "49577724"}, {"ref": "sachinsushilsingh/notebook60181cf488", "kernel_id": "49798102"}, {"ref": "bandou/mors-2", "kernel_id": "49783592"}, {"ref": "jitpanoopolawath/mohs-hardness", "kernel_id": "49241032"}, {"ref": "priyalsingla/priyal-regression-with-mohs-hardness", "kernel_id": "49631225"}, {"ref": "kartikye10/mohs-hardness-dataset-xgb-lgbm-rf", "kernel_id": "49822821"}, {"ref": "harshitarya003/regression-mohs-hardness-0-647000", "kernel_id": "49249465"}, {"ref": "rajneesh231/regression-svr-lgbm-randomforest", "kernel_id": "49784415"}, {"ref": "grandmastershaurya/mohs-hardness", "kernel_id": "49587982"}, {"ref": "harshitstark/regression-with-a-mohs-hardness-dataset", "kernel_id": "49929485"}, {"ref": "paramvir705/mohs-hardness-using-regression", "kernel_id": "49794947"}, {"ref": "thaparrishav/mohshardness-randomforest", "kernel_id": "49866202"}, {"ref": "aayushibareja/notebook3bbd6bea94", "kernel_id": "49783067"}, {"ref": "rahulgurwannn/notebook65d305b9a0", "kernel_id": "49837274"}, {"ref": "chaitanya2605/notebook4249e1bd55", "kernel_id": "49687909"}, {"ref": "saanvi004/regression", "kernel_id": "49788100"}, {"ref": "suvansh03/notebook9dc48f87ca", "kernel_id": "50115458"}, {"ref": "kriti264/mohs-hardness-dataset", "kernel_id": "50116827"}, {"ref": "hardikgarg03/regression-with-mohs-hardness", "kernel_id": "50190898"}, {"ref": "manindermaan/predicting-mohs-hardness-using-regression", "kernel_id": "50059105"}, {"ref": "akshaykhanna05/mohs-hardness-akshay", "kernel_id": "50091821"}, {"ref": "aparnasingh02/notebook10a1fd6932", "kernel_id": "50107826"}, {"ref": "riyaraizada/regression-with-a-mohs-hardness-dataset", "kernel_id": "50874294"}, {"ref": "suhawni/notebook0e67950386", "kernel_id": "50995788"}, {"ref": "arnavsharma45/mohs-hardness-regression", "kernel_id": "50112662"}, {"ref": "ramjaslangdi/regression-with-a-mohs-hardness-dataset", "kernel_id": "50466762"}, {"ref": "ramjaslangdi/regression-with-a-mohs-hardness-dataset-2", "kernel_id": "50467232"}, {"ref": "tarushirastogi/mohs-hardness", "kernel_id": "50333639"}, {"ref": "akshita0560/regression-with-a-mohs-hardness-dataset", "kernel_id": "50111306"}, {"ref": "khushimittal27/regression-with-a-mohs-hardness-dataset", "kernel_id": "50802897"}, {"ref": "alexgijo/winterhacks-regression-v6", "kernel_id": "50074518"}, {"ref": "simarjitkaur123/mohs-hardness-regression", "kernel_id": "50827824"}, {"ref": "pulkitsanan/mohr-s-hardness", "kernel_id": "50111018"}, {"ref": "pulkittarora/regression-lgbm-with-a-mohs-hard", "kernel_id": "50094603"}, {"ref": "neelakshigupta/notebookb7ba8e7be8", "kernel_id": "50110350"}, {"ref": "jatinthakur706/regression-with-a-mohs-hardness-dataset-using-lgbm", "kernel_id": "50655333"}, {"ref": "iyasha/regression-with-a-mohs-hardness-dataset", "kernel_id": "50756251"}, {"ref": "raghavdargan/mohs-hardness-dataset", "kernel_id": "50095325"}, {"ref": "kunal025/regression-with-a-mohs-hardness-dataset", "kernel_id": "50476875"}, {"ref": "akshit2605/notebook4d1d309f52", "kernel_id": "50476807"}, {"ref": "ujjvalvashisht/regression-with-a-mohs-hardness-dataset", "kernel_id": "50059429"}, {"ref": "harshitrajpal2508/notebook738d540e03", "kernel_id": "50113395"}, {"ref": "harshitrajpal2508/notebook9b8dce198b", "kernel_id": "50112061"}, {"ref": "jasmeet0516/mohs-hardness-using-lgbmregressor", "kernel_id": "50655663"}, {"ref": "garvitmadaan/regression-with-a-mohs-hardness-dataset", "kernel_id": "50115183"}, {"ref": "ashmeet02/notebook94b091a197", "kernel_id": "50101086"}, {"ref": "ashmeet02/notebook4f8de97afb", "kernel_id": "50974448"}, {"ref": "nitishjolly/mohs-hardness", "kernel_id": "50687479"}, {"ref": "kanishhkaa/notebookf3742e43f1", "kernel_id": "50103286"}, {"ref": "zeyadsayedadbullah/moh-s-hardness-with-xgboost-optuna", "kernel_id": "50751802"}, {"ref": "rohanthakur336/playground-03-regression", "kernel_id": "50100062"}, {"ref": "sehajbirsinghbains/notebook39c800b4f3", "kernel_id": "50102445"}, {"ref": "sehajbirsinghbains/notebookda55b8ed8c", "kernel_id": "50102492"}, {"ref": "sehajbirsinghbains/notebook-mohs-hardness", "kernel_id": "50102508"}, {"ref": "aryandogra/notebookb4bbbb3bfc", "kernel_id": "50145268"}, {"ref": "richika11/mohs-hardness", "kernel_id": "50114891"}, {"ref": "udaysharma007/mohs-hardness-dataset", "kernel_id": "50088218"}, {"ref": "khyatimunjal/regression-with-a-mohs-hardness", "kernel_id": "50059894"}, {"ref": "sakshamsikri8/notebook3ca81eddb0", "kernel_id": "50035311"}, {"ref": "ujjvalvashisht04/notebooka2d98d2932", "kernel_id": "50086689"}, {"ref": "prachik2/mohs-hardness", "kernel_id": "50915914"}, {"ref": "bhavyabhalla2701/regression-with-a-mohs-hardness-solution", "kernel_id": "50067977"}, {"ref": "hrshpreet/regression-with-mohr", "kernel_id": "50047127"}, {"ref": "arushibashambu/mohs-hardness", "kernel_id": "50740951"}, {"ref": "namishjindal4/regressionwithmohshardnessdataset", "kernel_id": "50513748"}, {"ref": "nishthakumari20/regression-with-mohs-hardness-dataset", "kernel_id": "50517219"}, {"ref": "sirishasingla1906/mohs-hardness", "kernel_id": "50813973"}, {"ref": "adhyanbaluja/mohs-hardness", "kernel_id": "50319365"}, {"ref": "priyanshu54200/mohshardness-ps-ml", "kernel_id": "50753124"}, {"ref": "quackinghorse/regression-with-mohs-hardness-dataset-102103453", "kernel_id": "50111845"}, {"ref": "sakshigoyal001/mohshardness", "kernel_id": "50886580"}, {"ref": "nrng19/good-soln", "kernel_id": "50651512"}, {"ref": "nrng19/unique-soln", "kernel_id": "50651831"}, {"ref": "nrng19/cool-soln", "kernel_id": "50652295"}, {"ref": "aarushijuneja07/playground-prob-3", "kernel_id": "50091257"}, {"ref": "kaurneetlove/regression-with-a-mohs-hardness-dataset", "kernel_id": "50655692"}, {"ref": "dubeyarpit/notebookc6511f3896", "kernel_id": "50114835"}, {"ref": "parthvashish/notebook4a32127cc8", "kernel_id": "50113468"}, {"ref": "anipreetsingh/notebook65063c7f57", "kernel_id": "50112876"}, {"ref": "sankalp102/notebook36641ccf21", "kernel_id": "50111557"}, {"ref": "namanomar123/2022bcd0049", "kernel_id": "50072802"}, {"ref": "san14y/moh-shardness", "kernel_id": "50120420"}, {"ref": "aditi24rawat05/mohs-hardness-prediction", "kernel_id": "50246143"}, {"ref": "jayrdixit/mohr-s-hardness-competition", "kernel_id": "51811041"}, {"ref": "alnourabdalrahman9/regression-with-a-mohs-hardness-dataset", "kernel_id": "51021804"}, {"ref": "harleenkaurdeora/mohs-hardness", "kernel_id": "51627892"}, {"ref": "yashasgarg/mohs-hardness-regression", "kernel_id": "51433161"}, {"ref": "manmeetkaursidhu/regression-with-a-mohs-hardness-dataset", "kernel_id": "51080997"}, {"ref": "sanyamgoyal401/regression-with-a-mohs-hardness-dataset", "kernel_id": "51129843"}, {"ref": "elsayednashaat/regression-with-a-mohs-hardness", "kernel_id": "51296355"}, {"ref": "aestroe/regression-with-mohs-hardness-dataset", "kernel_id": "51083575"}, {"ref": "abhinandansharma19/ps3e25-sol", "kernel_id": "51628030"}, {"ref": "gamablobyt/mohs-hardness-using-linear-regression", "kernel_id": "51526746"}, {"ref": "akankshasolanki123/notebook9d23f6ce2b", "kernel_id": "51021813"}, {"ref": "raghav723/mohs-hardness-using-regression", "kernel_id": "51586184"}, {"ref": "prabhdeep123/notebook9b0b4085b1", "kernel_id": "51270895"}, {"ref": "ishita1802/reg-mohrs-hardness", "kernel_id": "51257742"}, {"ref": "lookitskhushboo/notebook291b650523", "kernel_id": "51929186"}, {"ref": "yashpuri1912/mohs-hardness-short-code", "kernel_id": "51781489"}, {"ref": "jindal05/regression-with-a-mohs-hardness-dataset", "kernel_id": "51087461"}, {"ref": "chhavideora11/notebook-done-feb", "kernel_id": "51515778"}, {"ref": "devbansal2140/mohs-hardness-using-regression", "kernel_id": "51405124"}, {"ref": "staniska/mohs-hardness", "kernel_id": "51767408"}, {"ref": "jaskiratsingh2003/mohs-hardness", "kernel_id": "51571527"}, {"ref": "aradhakkandhari/regression-with-mohs-hardness-dataset", "kernel_id": "51586227"}, {"ref": "joelbansal/mohshardness", "kernel_id": "51513193"}, {"ref": "scientificstephen/regression-with-a-mohs-hardness-dataset", "kernel_id": "51018990"}, {"ref": "sirishasingla1906/mohs-hardness-dataset", "kernel_id": "51220715"}, {"ref": "dhruvsinghchauhan01/mohr-hardness", "kernel_id": "51077157"}, {"ref": "bhavikasaini/mohs-hardness-with-linear-regression-score-0-9857", "kernel_id": "51017792"}, {"ref": "harshgoel2001/regression-with-a-mohs-hardness-dataset", "kernel_id": "51531882"}, {"ref": "harshgoel2001/notebook88c4aac399", "kernel_id": "51531903"}, {"ref": "simarjeetsingh11/regression-with-a-mohs-hardness-dataset-optimal", "kernel_id": "51283591"}, {"ref": "simarjeetsingh11/notebooka680398641", "kernel_id": "51283608"}, {"ref": "hrshbachan3/mohs-scale-of-hardness-dataset-regression", "kernel_id": "51154112"}, {"ref": "kaushalkrishna2000/playground-s3e25-mohs-regression", "kernel_id": "52154177"}, {"ref": "naveen1729/regression-with-mohs-hardness-dataset", "kernel_id": "52831181"}, {"ref": "aryankalia17/mohs-hardness-notebook", "kernel_id": "52235503"}, {"ref": "venomsky/testing-regression-models", "kernel_id": "52358203"}, {"ref": "himashibandara/regression-with-mohs-hardness-analysis", "kernel_id": "52333351"}, {"ref": "erangikumarasinghe/mohs-data-analysis", "kernel_id": "52436846"}, {"ref": "parulkumartiet/mohs-hardness-using-regression-by-pk", "kernel_id": "52174236"}, {"ref": "sidharthmurali12/mohs-hardness-regression", "kernel_id": "53278866"}, {"ref": "anadyasahai/regression-mohshardnessdataset-anadya", "kernel_id": "53794273"}, {"ref": "akoirala111/mohs-hardness-regression", "kernel_id": "53927969"}, {"ref": "ghadaalabdullah/mohs-hardness-competition-notebook", "kernel_id": "53681122"}, {"ref": "cdr0101/mohs-hardness-regression", "kernel_id": "53967151"}, {"ref": "amanaayush/mohs-dataset", "kernel_id": "54215193"}, {"ref": "samakshahuja605/mohs-dataset", "kernel_id": "54224486"}, {"ref": "harbandanakaur/regression-with-a-mohs-hardness-dataset", "kernel_id": "54841839"}, {"ref": "piyush1234ggfuvi/mohs-hardness", "kernel_id": "54648250"}, {"ref": "shwetakk/notebook4dfc9cd55f", "kernel_id": "54686061"}, {"ref": "srijaakella/mohs-hardness", "kernel_id": "54229507"}, {"ref": "yehoryevtushenko/lesson20-03-2024-hw", "kernel_id": "54883599"}, {"ref": "chiragchiku25/mohs-hardness-using-xgboost", "kernel_id": "54188656"}, {"ref": "tanishas2024/mohs-hardness", "kernel_id": "54009050"}, {"ref": "aditivij/mohrhardness", "kernel_id": "54640639"}, {"ref": "drewmatsumoto/ps4e4-abalone-pycaret-quickstart", "kernel_id": "55798365"}, {"ref": "japleenkaurbedi/hardness-prediction", "kernel_id": "55190357"}, {"ref": "chirag2306/regression-with-a-mohs-hardness-solution", "kernel_id": "55089178"}, {"ref": "alkidiarete/regression-h2o-ai", "kernel_id": "56276887"}, {"ref": "ssyyhh/eda-of-hardness-with-prediction-xgbregressor", "kernel_id": "56729100"}, {"ref": "maksn610/random-forest-regression-solution", "kernel_id": "58836088"}, {"ref": "drmurataltun/c8-regression-with-a-mohs-hardness", "kernel_id": "60603596"}, {"ref": "hikmetdevlet/16-regression-with-a-mohs-hardness-dataset", "kernel_id": "60882804"}, {"ref": "claytoniliquin/predicci-n-de-dureza-en-la-escala-de-mohs", "kernel_id": "62419347"}, {"ref": "klimyuriy/notebook304665d236", "kernel_id": "62229442"}, {"ref": "andrey36912/homework-mood-3-part-5", "kernel_id": "62649911"}, {"ref": "gv0000/dz10-optuna", "kernel_id": "63228722"}, {"ref": "rohitashvakumawat/svm-and-svr", "kernel_id": "66301567"}, {"ref": "olgakornieva/notebook7c8ec3a295", "kernel_id": "67322552"}, {"ref": "alonamoiseyenko/dz10-my", "kernel_id": "68029573"}, {"ref": "notalex141520112524/notebook9308700fbc", "kernel_id": "70669852"}, {"ref": "r3dflzp/notebookb530fb83dc", "kernel_id": "71336708"}, {"ref": "moiseienkoom/hw-10", "kernel_id": "72310189"}, {"ref": "davidcanorosillo/mlhybrid", "kernel_id": "73912735"}, {"ref": "rushilmisra/mohs-hardness", "kernel_id": "75932001"}, {"ref": "senasudemir/mohs-hardness-prediction", "kernel_id": "76771961"}, {"ref": "bilgingunes/regression-with-a-mohs-hardness-dataset", "kernel_id": "80736022"}, {"ref": "musioy/playground-series-s3e25", "kernel_id": "80287585"}, {"ref": "ugurcan95/mohs-hardness", "kernel_id": "80912547"}, {"ref": "penbenur/regression-with-a-mohs-hardness-dataset", "kernel_id": "80242722"}, {"ref": "passion2025/mohs-hardness-test", "kernel_id": "83242805"}, {"ref": "myash21/notebook64246e0cee", "kernel_id": "87474033"}, {"ref": "srinathreddy2027/mohrs-regression", "kernel_id": "95060866"}, {"ref": "andersarnold/predicting-mohs-hardness-using-regression", "kernel_id": "106621965"}, {"ref": "omeraydin1/hardness-regression", "kernel_id": "115339024"}, {"ref": "arihantjn29/mohs-hardness", "kernel_id": "116579723"}, {"ref": "zqx960151285/egression-with-a-mohs-hardness-dataset", "kernel_id": "129999333"}]}
{"competition_id": "60893", "kernels": [{"ref": "kdmitrie/pgs33-eda-basic-test-of-models-blending", "kernel_id": "34196378"}, {"ref": "kdmitrie/pgs41-easy-use-of-h2o-automl", "kernel_id": "39897709"}, {"ref": "rockiecao/pss3e26-multi-class-prediction-ensemble", "kernel_id": "47555427"}, {"ref": "cv13j0/prediction-of-cirrhosis-outcomes", "kernel_id": "47568832"}, {"ref": "zman950/feature-engineering-with-pipelines", "kernel_id": "47933468"}, {"ref": "surajyadav91/playground-s3e26-xgboost-v1", "kernel_id": "47597092"}, {"ref": "surajyadav91/playground-s3e26-xgboost-v4", "kernel_id": "47805400"}, {"ref": "surajyadav91/playground-s3e26-xgboost-v2", "kernel_id": "47801293"}, {"ref": "surajyadav91/playground-s3e26-xgboost-v3", "kernel_id": "47802972"}, {"ref": "toshimelonhead/tps-3-26-cirrhosis-outcomes", "kernel_id": "47607960"}, {"ref": "abramova/ps3-e26-baseline", "kernel_id": "47376188"}, {"ref": "abramova/ps3e26-eda-fe-shap", "kernel_id": "47456402"}, {"ref": "ksevta/s3e26-multi-class-prediction", "kernel_id": "47406636"}, {"ref": "tcashion/ps3e26-adversarial-learning", "kernel_id": "47733847"}, {"ref": "ianchute/cirrhosis-monte-carlo-inference", "kernel_id": "47524199"}, {"ref": "ianchute/cirrhosis-1-minute-model", "kernel_id": "47527896"}, {"ref": "ianchute/cirrhosis-segmented-classification-with-lgbm", "kernel_id": "47384165"}, {"ref": "ianchute/cirrhosis-baseline-lgbm", "kernel_id": "47370055"}, {"ref": "westedcrean/s3e26-eda-initial-submission-multi-class-pr", "kernel_id": "47457360"}, {"ref": "arnogils/playground-series-s03e26-daily-buildout", "kernel_id": "47836208"}, {"ref": "miroslavtyurin/ps3e26-eda-clinical-trials-been-inconsistent", "kernel_id": "47643218"}, {"ref": "rishabh15virgo/s3e26-first-impression-eda-baseline-ensemble", "kernel_id": "47343404"}, {"ref": "docxian/ps-s3-e26-cirrhosis-multiclass-glm", "kernel_id": "47450049"}, {"ref": "docxian/ps-s3-e26-cirrhosis-multiclass-gbm", "kernel_id": "47513218"}, {"ref": "alenic/xgboost-optuna", "kernel_id": "47507795"}, {"ref": "shuthdar/solution-using-two-separate-binary-classifiers", "kernel_id": "47780195"}, {"ref": "scchuy/2023s3e26-nn-optuna", "kernel_id": "47875551"}, {"ref": "oscarm524/ps-s3-ep26-eda-modeling-submission", "kernel_id": "47325306"}, {"ref": "herczeggyrgy/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47358536"}, {"ref": "joebeachcapital/ps3e26-cirrhosis-survial-multiclass-prediction", "kernel_id": "47539326"}, {"ref": "vinitkp/multiclass-cirrhosisoutcomes", "kernel_id": "47410665"}, {"ref": "rezamf/playground-s3e26-prediction-of-cirrhosis", "kernel_id": "47374920"}, {"ref": "umar47/cirrhosis-outcome-eda-modelling", "kernel_id": "47441620"}, {"ref": "stpeteishii/ps-s3e26-lgbm-w-optuna", "kernel_id": "47418699"}, {"ref": "stpeteishii/ps-s3e26-lgbm-imporance", "kernel_id": "47431721"}, {"ref": "stpeteishii/ps-s3e26-lgbm-polynomialfeat-importance", "kernel_id": "47462098"}, {"ref": "stpeteishii/ps-s3e26-lgbm-w-polynomialfeat-optuna", "kernel_id": "47546823"}, {"ref": "stpeteishii/ps-s3e26-xgb-w-optuna", "kernel_id": "47545580"}, {"ref": "stpeteishii/ps-s3e26-catboost-w-optuna", "kernel_id": "47545609"}, {"ref": "stpeteishii/ps-s3e26-lgbm-simple-w-repeat", "kernel_id": "47952265"}, {"ref": "stpeteishii/ps-s3e26-lgbm-polynomialfeat-w-repeat", "kernel_id": "47956895"}, {"ref": "lasm1984/multiclass-everywhere", "kernel_id": "47592895"}, {"ref": "lasm1984/deep-learning-and-tuner", "kernel_id": "47603308"}, {"ref": "lasm1984/google-gemini-did-it", "kernel_id": "47661394"}, {"ref": "amihua/multi-class-baseline", "kernel_id": "47328556"}, {"ref": "kjihwan/ps3e26-eda-ensemble-tabnet", "kernel_id": "47437394"}, {"ref": "anzarwani2/s3e26-multiclass-prediction-of-cirrhosis", "kernel_id": "47415841"}, {"ref": "mpwolke/cirrhosis-cox-proportional-hazard-coxph", "kernel_id": "47327975"}, {"ref": "mpwolke/kaplan-meier-lifetables-piecewise-exponential", "kernel_id": "47982777"}, {"ref": "syerramilli/ps3e26-eda-xgboost-optuna", "kernel_id": "47604965"}, {"ref": "syerramilli/ps3e26-automl-via-flaml", "kernel_id": "47643567"}, {"ref": "syerramilli/ps3e26-eda-lightgbm-optuna", "kernel_id": "47478000"}, {"ref": "mvoulo/feature-engineering-cirrhosis-outcome-prediction", "kernel_id": "47855649"}, {"ref": "aayushsin7a/cirrhosis-patient-survival-prediction", "kernel_id": "47699848"}, {"ref": "carljvh/fastai-for-cirrhosis-outcomes", "kernel_id": "47823243"}, {"ref": "llorenzok/uphill-to-heaven", "kernel_id": "47802137"}, {"ref": "shivamkc3/advance-blending-weights-0-39522", "kernel_id": "47440103"}, {"ref": "shivamkc3/blending-weighted-public-score-0-39435", "kernel_id": "47615269"}, {"ref": "yangbosung/eda-can-the-type-of-drug-help-to-predict-status", "kernel_id": "47867524"}, {"ref": "yangbosung/s3e26-automl-autogluon-a-quick-start", "kernel_id": "47995241"}, {"ref": "ronfswanson/cirrhosisversion8-lb-0-4128", "kernel_id": "47965940"}, {"ref": "randmax/ps3e26-cirrhosis-classification-for-beginners", "kernel_id": "47369184"}, {"ref": "randmax/ps3e26", "kernel_id": "47426177"}, {"ref": "josmyrose/multiclass-prediction-of-cirrhouse-outcome1-1", "kernel_id": "47100043"}, {"ref": "mexwell/cirrhosis-patient-survival-eda-and-ensemble", "kernel_id": "47341213"}, {"ref": "keitashimizu21/eda-of-cirrhosis-outcomes", "kernel_id": "47369337"}, {"ref": "vishnuoum/multi-class-prediction-of-cirrhosis-outcomes-nb", "kernel_id": "47786335"}, {"ref": "seanandrie/ps-s3-e26-weightedensemble-baseline", "kernel_id": "47348207"}, {"ref": "mehrankazeminia/1-s3e26-eda-lightgbm", "kernel_id": "47586692"}, {"ref": "akioonodera/ps3-26-lgbm-mcls", "kernel_id": "47326963"}, {"ref": "jonathankao/dec-2023-tabular-ensemble-xgboost-lgbm-v3-3", "kernel_id": "47949440"}, {"ref": "yeonseokcho/cirrhosis-outcomes", "kernel_id": "47408393"}, {"ref": "amitvkulkarni/ps-s3-e26-lgbm-xbg-ensemble", "kernel_id": "47458686"}, {"ref": "markuslill/s3e26-xgbclassifer", "kernel_id": "47349327"}, {"ref": "bkowshik/evidently-ai-predict-cirrhosis-outcomes", "kernel_id": "47811484"}, {"ref": "rahulcris07/cirrhosis-pred-acc81-4-auc-class-0-88-0-84-0-89", "kernel_id": "47341414"}, {"ref": "tracyporter/play-3-26-rf-predict-proba", "kernel_id": "47371925"}, {"ref": "tracyporter/play-3-26-logreg-predict-proba", "kernel_id": "47409340"}, {"ref": "arlle26/s3e26-gb-lgbm-xgb-voteclassifier", "kernel_id": "47822600"}, {"ref": "arlle26/s3e26-gb-lgbm-xgb-optuna-vote", "kernel_id": "47490235"}, {"ref": "luistalavera/ps-s3-e26-ft-transformer", "kernel_id": "47483401"}, {"ref": "danielpopov/ps3e26-eda-xgb-lgbm-cat-submission", "kernel_id": "47335005"}, {"ref": "digitsingh/feature-mastery-and-eda-with-lgbm", "kernel_id": "47546589"}, {"ref": "aaditambadkar/here-goes-nothing", "kernel_id": "47615329"}, {"ref": "samyakb/getting-above-benchmark-using-random-forest", "kernel_id": "47574584"}, {"ref": "thomasmeiner/ps3e26-full-eda-baseline-model", "kernel_id": "47331401"}, {"ref": "thomasmeiner/ps3e26-easy-and-rich-eda-to-get-you-started", "kernel_id": "47329933"}, {"ref": "thomasmeiner/ps3e26-pseudo-labellingl", "kernel_id": "47523221"}, {"ref": "thomasmeiner/ps3e26-testing-out-the-most-naive-predictions", "kernel_id": "47509850"}, {"ref": "thomasmeiner/ps3e26-testing-smote", "kernel_id": "47398073"}, {"ref": "thomasmeiner/ps3e26-testing-svmsmote", "kernel_id": "47409837"}, {"ref": "thomasmeiner/ps3e26-lgbm-with-focal-loss", "kernel_id": "47410098"}, {"ref": "thomasmeiner/ps3e26-testing-kmeanssmote", "kernel_id": "47409501"}, {"ref": "adityasoedira/cirrhosis-patient-survival-pred", "kernel_id": "47898235"}, {"ref": "atifsuhail/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47953075"}, {"ref": "mcpenguin/s3e26-baseline-5-model-ensemble", "kernel_id": "47667351"}, {"ref": "pohzixiang/ps3e26-classification-using-nn", "kernel_id": "47326921"}, {"ref": "atharvmj082k/cirrohsis-baseline", "kernel_id": "47893127"}, {"ref": "hikmatullahmohammadi/multi-class-cirrhosis-eda-mi-score-feature-eng", "kernel_id": "47325687"}, {"ref": "pchamoli191900/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47500624"}, {"ref": "artemzysko/cirrhosis-prediction-pytorch-ensemble-models", "kernel_id": "47607255"}, {"ref": "jimgruman/a-tidymodels-ensemble", "kernel_id": "47367839"}, {"ref": "shrinivaspatil/multiclass-prediction-of-cirrohosis-outcomes", "kernel_id": "47813164"}, {"ref": "nicolemichelle/ps-s326-multiclass-cirrhosis-predictor-92", "kernel_id": "47360151"}, {"ref": "chrisrellama/multi-class-prediction-of-cirrhosis", "kernel_id": "47544859"}, {"ref": "jocelyndumlao/predicting-cirrhosis-outcomes", "kernel_id": "47477878"}, {"ref": "adwaitkesharwani/xgboost-catboost-lgbm-average-ensemble", "kernel_id": "47495037"}, {"ref": "adwaitkesharwani/baseline-beginner", "kernel_id": "47438079"}, {"ref": "wonsukj/s3e26-simple-eda-lgb-modeling", "kernel_id": "47725478"}, {"ref": "wonsukj/s3e26-eda-modeling", "kernel_id": "47884871"}, {"ref": "srushanthbaride2010/s3e26-score-0-40844", "kernel_id": "47480695"}, {"ref": "rizkykiky/s3e26-5-12-2023-lgbm-optuna", "kernel_id": "47366971"}, {"ref": "minemine12345678/xgbcla-shap-20231217", "kernel_id": "47957928"}, {"ref": "abhirupghosh184098/cirrhosis-predictor-eda-ensemble-nn", "kernel_id": "47557262"}, {"ref": "thomaswrightanderson/ps3e26-multiclass-cirrhosis-outcome-prediction", "kernel_id": "47472093"}, {"ref": "barbagrande007/bbg007-s3e6-cirrhoses", "kernel_id": "47416955"}, {"ref": "prajwaldongre/eda-prediction-logreg-mean-acc-79", "kernel_id": "47519316"}, {"ref": "valerybonneau/ps3e26-eda-automl-nn-and-ensemble", "kernel_id": "47332785"}, {"ref": "satyaprakashshukl/simple-neural-network-classification", "kernel_id": "47332883"}, {"ref": "satyaprakashshukl/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47328705"}, {"ref": "satyaprakashshukl/graph-neural-network", "kernel_id": "47870402"}, {"ref": "ravi20076/playgrounds3e26-eda-baseline", "kernel_id": "47331455"}, {"ref": "kazumatokuda/baseline-eda-automl-comparemodel", "kernel_id": "47329493"}, {"ref": "echowuzangye/playground-3-26-added-feature-tuning", "kernel_id": "47567407"}, {"ref": "max1mum/s03e26-blend", "kernel_id": "47429442"}, {"ref": "itsmegood/cirrhosis-outcome-deep-learning-prediction", "kernel_id": "47830249"}, {"ref": "klyushnik/ensemble-prediction", "kernel_id": "47335045"}, {"ref": "selvakumaranr/cirrhosis-predictor", "kernel_id": "47999153"}, {"ref": "susanketsarkar/cirrhosis-classification-ensemble-baseline", "kernel_id": "47360581"}, {"ref": "suraj520/ps-s3-e26-lazy-predict-voting-ensemble", "kernel_id": "47542094"}, {"ref": "msarvesh/multi-class-classification", "kernel_id": "47367317"}, {"ref": "dhineshbabbu/adb-multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47390298"}, {"ref": "abyssskb/cirrhosis-outcomes-nn", "kernel_id": "47583356"}, {"ref": "muhannadmansour/treatment-survival-analysis-prediction-models", "kernel_id": "47465889"}, {"ref": "andrusha95/gb-lgbm-xgb-voteclassifier", "kernel_id": "47839736"}, {"ref": "vidhikishorwaghela/prediction-of-cirrhosis-multiclass-approach", "kernel_id": "47401713"}, {"ref": "priyamsaha17/prediction-of-cirrhosis", "kernel_id": "47521297"}, {"ref": "sunny7712/s3e26-baseline-eda-log-reg-xgboost", "kernel_id": "47728585"}, {"ref": "sigmoidss/pss3e26-lightgbm", "kernel_id": "47346366"}, {"ref": "uzairshafique/cirrhosis-stacking-classifier-log-loss", "kernel_id": "47471465"}, {"ref": "uzairshafique/eda-ens-xgboost-lightgbm-rf-catboost-gb", "kernel_id": "47468225"}, {"ref": "uzairshafique/cirrhosis-xgboost-lightgbm-randomforest-svm-nn", "kernel_id": "47418296"}, {"ref": "uzairshafique/cirrhosis-xgboost-lightgbm-catboost-votingclasifir", "kernel_id": "47367132"}, {"ref": "uzairshafique/seed-ensemble-multi-class-classifier-log-loss", "kernel_id": "47603466"}, {"ref": "omega11/medical-analysis-added-21-features-xgb", "kernel_id": "47465249"}, {"ref": "mariusborel/playground-series-season-3-episode-26", "kernel_id": "47324992"}, {"ref": "mariusborel/cirrhosis-what-comes-next", "kernel_id": "47944879"}, {"ref": "kylelacson/kl-submission-notebook", "kernel_id": "47901276"}, {"ref": "brpuneet898/ps3-26-eda-multi-class-classification", "kernel_id": "47618128"}, {"ref": "brpuneet898/learning-for-fun-apt-for-beginners", "kernel_id": "47523779"}, {"ref": "brpuneet898/ps-3-ep-26-for-beginners", "kernel_id": "47326235"}, {"ref": "ashishkumarak/ps3e26-liver-cirrhosis-eda-model", "kernel_id": "47353210"}, {"ref": "vishwasmadhuvarshi/clean-eda-feat-eng-shap-msno-lr-xgb", "kernel_id": "47570832"}, {"ref": "ukdemirtas/se3ep26-xgboost", "kernel_id": "47352123"}, {"ref": "iqbalsyahakbar/ps3e26-cirrhosis-classification-for-beginners", "kernel_id": "47326556"}, {"ref": "mattop/ps-s3-e26-lgbm-xgb-preprocessing-fasteda", "kernel_id": "47370262"}, {"ref": "imnandini/multi-class-prediction-of-cirrhosis-beginner-level", "kernel_id": "47330433"}, {"ref": "yaaangzhou/pg-s3-e26-eda-modeling", "kernel_id": "47325944"}, {"ref": "hridaym25/short-baseline-xgb-lgbm-with-optuna", "kernel_id": "47340551"}, {"ref": "hridaym25/trying-out-a-graph-neural-network", "kernel_id": "47762369"}, {"ref": "dumanmesut/ps3e26-cirrhosis-outcomes-eda-lgbm-xgb-cat", "kernel_id": "47339581"}, {"ref": "richeyjay/cirrhossis-multi-class", "kernel_id": "47325835"}, {"ref": "francescoliveras/ps-s3-e26-eda-model-en-es", "kernel_id": "47335741"}, {"ref": "juniorbertrand/beginner-approach", "kernel_id": "47472197"}, {"ref": "juniorbertrand/for-beginners-by-a-beginner", "kernel_id": "47460303"}, {"ref": "talnikarvishwam/easy-multi-class-prediction-with-voting-classifier", "kernel_id": "47441457"}, {"ref": "rafiromolo/cirrhosis-pred-using-baggingclassification", "kernel_id": "47507635"}, {"ref": "ksakaida/simply-eda-lightgbm", "kernel_id": "47330371"}, {"ref": "sunilthite/cirrhosis-outcome-ml-algorithms", "kernel_id": "47488975"}, {"ref": "sunilthite/cirrhosis-outcomes-eda-bivariate-analysis", "kernel_id": "47435394"}, {"ref": "sunilthite/cirrhosis-outcomes-eda-univariate-analysis", "kernel_id": "47403563"}, {"ref": "ucas0v0zhuoqunli/ps3e26-quick-automl-baseline", "kernel_id": "47404466"}, {"ref": "viliuspstininkas/eda-non-linearity-pca-cross-associations", "kernel_id": "47832783"}, {"ref": "carloscll/multi-class-penguins-data", "kernel_id": "47370442"}, {"ref": "tarundirector/cirrhosis-multi-class-eda-modelling", "kernel_id": "47420958"}, {"ref": "natchaphonkamhaeng/pg-multi-class-cirrhosis-outcomes", "kernel_id": "47673737"}, {"ref": "potongpasir/cirrhosis", "kernel_id": "47379566"}, {"ref": "hakanrek/neural-network-with-keras-tuner", "kernel_id": "47830935"}, {"ref": "pshikk/easy-random-forest-approach", "kernel_id": "47841174"}, {"ref": "anopsy/cirrhosis-dataset-quick-eda-randomsearch-cv-xgb", "kernel_id": "47337934"}, {"ref": "anopsy/log-transformation-and-model", "kernel_id": "47599314"}, {"ref": "anopsy/bruteforce-features-xgb", "kernel_id": "47603219"}, {"ref": "anopsy/pseudolabels-experiment-cirrhosis", "kernel_id": "47518290"}, {"ref": "anopsy/fe-xgb-cirrhosis-data", "kernel_id": "47926972"}, {"ref": "anopsy/exploring-cirrhosis-data-with-hiplot", "kernel_id": "47886446"}, {"ref": "alexeyk12/eda-cirrhosis-outcomes", "kernel_id": "47470618"}, {"ref": "dolphine11/ps3e26-simple-eda-and-modeling", "kernel_id": "47511668"}, {"ref": "patriciadesuu/notebook10d101ff6e", "kernel_id": "47467405"}, {"ref": "enricomanosperti/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47779015"}, {"ref": "m000sey/multi-class-w-boosts-eda-dim-reduction", "kernel_id": "47799727"}, {"ref": "chamodkalupahana/simple-dnn-model-cham-cirrhosis", "kernel_id": "47404566"}, {"ref": "habilamar/s3e26-kaggle-playground", "kernel_id": "47912374"}, {"ref": "loannfeidt1/day-5-prediction-of-cirrhosis-outcomes", "kernel_id": "47506777"}, {"ref": "eishkaran/shortest-code", "kernel_id": "47358184"}, {"ref": "vishnupriyagarige/prediction-of-cirrhosis-outcomes", "kernel_id": "47466453"}, {"ref": "yunsuxiaozi/pss3e26-baseline-optuna-lgbm", "kernel_id": "47399462"}, {"ref": "yunsuxiaozi/pss3e26-baseline-for-beginner-lightautoml", "kernel_id": "47335624"}, {"ref": "debamritapaul/multi-class-prediction-of-cirrhosis-optuna", "kernel_id": "47345351"}, {"ref": "neupane9sujal/prediction-of-cirrhosis", "kernel_id": "47509800"}, {"ref": "thomasantony666/multi-class-prediction", "kernel_id": "47886787"}, {"ref": "seifeddine0/cirrhosis-patient-survival-prediction", "kernel_id": "47734855"}, {"ref": "vengadeshwaran58/cirrhosis-outcomes-multiclass-prediction", "kernel_id": "47403683"}, {"ref": "mateuszk013/playground-series-s3e26-cirrhosis-outcomes", "kernel_id": "47804462"}, {"ref": "utkarshx27/cirrhosis-outcome-prediction-exploration-model", "kernel_id": "47534703"}, {"ref": "lucasrathgeb/xgboost-cirrhosis-classification", "kernel_id": "47353686"}, {"ref": "ilya2raev/playground-series-s3e26-xgb-lgbm", "kernel_id": "47352349"}, {"ref": "arunklenin/ps3e26-cirrhosis-survial-prediction-multiclass", "kernel_id": "47383191"}, {"ref": "dreygaen/ps3e25-cirrhosis-multi-class-solution", "kernel_id": "47390432"}, {"ref": "yeohhanyi/cirrhosis-outcomes", "kernel_id": "47879693"}, {"ref": "oran11/cirrhosis-outcomes", "kernel_id": "47373588"}, {"ref": "luficergfree/it-s-me-luficer-g", "kernel_id": "47871512"}, {"ref": "kirtanmatalia26/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47891562"}, {"ref": "kalpanagarige/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47892419"}, {"ref": "vinodkumargurjar/multi-class-prediction-of-cirrhosis-outcomes-vinod", "kernel_id": "47342140"}, {"ref": "nemanjagojkovic/lightgmb-optimized-using-bayessearch", "kernel_id": "47473095"}, {"ref": "mattduerr/s3e26-complete-eda-3-baseline-models", "kernel_id": "47296106"}, {"ref": "shadechen/eda-otuna-ensemble-lgb-xgb-cat", "kernel_id": "47383382"}, {"ref": "coinshot/multi-class-prediction-of-cirrhosi-model", "kernel_id": "47845335"}, {"ref": "vitchakorn/cirrhosis-survival-transplant-outcomes-ml", "kernel_id": "47873659"}, {"ref": "ankitgaikar1995/boosting-ensemble-beginner", "kernel_id": "47404088"}, {"ref": "janmejaymohanty/cirrhosis-outcome-prediction-with-randomforest", "kernel_id": "47940787"}, {"ref": "yashraj121/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47928292"}, {"ref": "litsea/eda-cirrhosis-predict-for-beginners", "kernel_id": "47883924"}, {"ref": "prathamghoshroy/cirrhosispred-eda-catboost-randomfor", "kernel_id": "47419882"}, {"ref": "commentsm/cirrhosis-classification-using-k-sequential", "kernel_id": "47564926"}, {"ref": "commentsm/cirrhosis-sklearn", "kernel_id": "47976631"}, {"ref": "prthmgoyl/multiclass", "kernel_id": "47580121"}, {"ref": "zoubheir/cirrhosis-model", "kernel_id": "47479960"}, {"ref": "yldzburhan/ps-s3e26-cirrhosis-prediction-lgbm-xgb-cat", "kernel_id": "47353507"}, {"ref": "haideraqeeb/liver-cirrhosis-baseline-lightgbm-rfclassifer", "kernel_id": "47541650"}, {"ref": "thaonguyentrang/lightgbm-for-multi-classification", "kernel_id": "47734991"}, {"ref": "huseyinbaytar/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47353733"}, {"ref": "akshatshaw7/a-beginner-s-work-lazypredict", "kernel_id": "47357890"}, {"ref": "ddosad/ps3e26-visual-eda-automl-cirrhosis-outcomes", "kernel_id": "47332146"}, {"ref": "jageshkar/multi-class-prediction-of-cirrhosis-outcomes-v2", "kernel_id": "47449836"}, {"ref": "thehustler2003/s03e26-lgbm-optuna", "kernel_id": "47334834"}, {"ref": "cheesegue/eda-cirrhosis-outcomes", "kernel_id": "47460420"}, {"ref": "shivanshgupta67/cirrhosis-outcome-predicition", "kernel_id": "47340279"}, {"ref": "milinchakraborty/s3e26", "kernel_id": "47731431"}, {"ref": "simonezappatini/cirrhosis-pycaret-baseline-for-beginners", "kernel_id": "47344603"}, {"ref": "imtommi/baseline-xgb", "kernel_id": "47704946"}, {"ref": "chiragthakur099/se3-ep26-cirrhosis-outcomes", "kernel_id": "47983828"}, {"ref": "theusman/multi-class-prediction-of-cirrhosis", "kernel_id": "47533564"}, {"ref": "yassin92/simple-modeling-for-beginers-eny-tips-for-me", "kernel_id": "47503737"}, {"ref": "swufeleo/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47723955"}, {"ref": "marianameireles/liver-cirrhosis-survival-prediction-multiclass", "kernel_id": "47935845"}, {"ref": "sharmaaryan123/liver-cirrhosis-predictions-eda-lightgbm", "kernel_id": "47603577"}, {"ref": "yuvrajsinghspd09/comp1a", "kernel_id": "47896635"}, {"ref": "sagravela/cirrhosis-baseline", "kernel_id": "47351941"}, {"ref": "anthonytherrien/simple-neural-network-benchmark", "kernel_id": "47715011"}, {"ref": "quinngerber123/final", "kernel_id": "47809084"}, {"ref": "hakim11/multiclass-classification", "kernel_id": "47887847"}, {"ref": "taichiuemura/ps3e26-baseline-lightgbm", "kernel_id": "47326913"}, {"ref": "santapiyaphon/predictive-modeling-for-cirrhosis-diagnosis", "kernel_id": "47784352"}, {"ref": "dipayancodes/cirrhosis-outcomes", "kernel_id": "47849565"}, {"ref": "beijiayang/catboost-with-grid-search-for-multi-class-pred", "kernel_id": "47434329"}, {"ref": "ilhmdwi/iiilham-dwitarama-prayitno", "kernel_id": "47970370"}, {"ref": "alexandrelemercier/apply-catboost-on-multi-class-prediction", "kernel_id": "47829522"}, {"ref": "alexandrelemercier/mutli-class-prediction-of-cirrhosis-outcome", "kernel_id": "47630193"}, {"ref": "prashikmeshram37/prediction-of-cirrhosis-outcomes", "kernel_id": "47331660"}, {"ref": "vladimirminaev/eda-xgb-vs-lightgbm", "kernel_id": "47601178"}, {"ref": "nhatthinhbui/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "47902728"}, {"ref": "maxenceleguery/multi-class-predictor", "kernel_id": "47340611"}, {"ref": "chaozhuang/ps3e26-multi-class-lr-rf-xgb-svm-nn", "kernel_id": "47967163"}, {"ref": "sid4ds/ps-s3e26-eda-linear-model", "kernel_id": "47354033"}, {"ref": "fabienpv/informative-custom-logloss-function", "kernel_id": "47666849"}, {"ref": "byteliberator/cirrhosis-eda-umap-tsne-pacmap-clustering", "kernel_id": "47765987"}, {"ref": "mdubada/multi-class-prediction-of-cirrhosis-classif", "kernel_id": "47487916"}, {"ref": "abcgreat/nightmare", "kernel_id": "47665449"}, {"ref": "lokeshlokis/multi-class-prediction-of-cirrhosis-classif", "kernel_id": "47488538"}, {"ref": "ksevta/s3e26-ensemble-xgb-lgbm-cat", "kernel_id": "48394215"}, {"ref": "tcashion/ps3e26-post-processing-overconfidence", "kernel_id": "48556732"}, {"ref": "abhinavkrjha/xgboost-lgbm-optuna-ranked-38th-on-leaderboard", "kernel_id": "48853642"}, {"ref": "westedcrean/s3e26-top-5-solution-score-0-42481", "kernel_id": "48174102"}, {"ref": "vassyesboy/classification-of-cirrhosis", "kernel_id": "48402035"}, {"ref": "ryzhokhina/cirrohosis-classification", "kernel_id": "48158635"}, {"ref": "joebeachcapital/s3e26-tuned-xgbclassifer", "kernel_id": "48061783"}, {"ref": "stpeteishii/ps-s3e26-catboost-polynomialfeat-w-repeat", "kernel_id": "48027969"}, {"ref": "mmellinger66/ps3e26-cirrhoosis-outcomes", "kernel_id": "48183445"}, {"ref": "kahfinadhika/cirrhosis-xgb", "kernel_id": "48683824"}, {"ref": "legendsoul/label-based-plotly-eda", "kernel_id": "48232732"}, {"ref": "legendsoul/some-bright-but-ineffective-ideas", "kernel_id": "48690109"}, {"ref": "yangbosung/all-in-one-a-quick-start-from-eda-to-submit", "kernel_id": "48057848"}, {"ref": "ronfswanson/cirrhosiswithcatboostd", "kernel_id": "48267365"}, {"ref": "ronfswanson/introductorypycare-cirrhosis", "kernel_id": "48730559"}, {"ref": "josmyrose/multiclass-prediction1-2", "kernel_id": "48605008"}, {"ref": "mirnamuhammad/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48664554"}, {"ref": "mehrankazeminia/2-s3e26-keras", "kernel_id": "48457712"}, {"ref": "lonnieqin/s3e26-with-flaml", "kernel_id": "48472479"}, {"ref": "lonnieqin/cirrhosis-outcomes-prediction-with-autokeras", "kernel_id": "48653819"}, {"ref": "hopesb/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48062773"}, {"ref": "danielpopov/7th-place-solution", "kernel_id": "48856346"}, {"ref": "devduttsharma/notebookd0da191bd4", "kernel_id": "48534247"}, {"ref": "ridwanmahenra/cirrhosis-outcomes-with-xgboost", "kernel_id": "48171620"}, {"ref": "thomasmeiner/ps3e26-upsample-with-gans", "kernel_id": "48431082"}, {"ref": "lauvfpitipak/liver-cirrhosis-prediction-ensemble-model", "kernel_id": "48579741"}, {"ref": "lauvfpitipak/multi-prediction-liver-cirrhosis-with-xgb", "kernel_id": "48578526"}, {"ref": "drcodikpollonny/ps3e26-prediction-of-cirrhosis-fe-optuna-models", "kernel_id": "48734446"}, {"ref": "mdmillenniumrahman/multi-class-prediction-of-cirrhosis-outcomes-xgbcl", "kernel_id": "48624051"}, {"ref": "sivashankarans/cirrosis-detection", "kernel_id": "48507688"}, {"ref": "ehtishamsadiq/cirrhosis-outcome-multiclass-forecasting", "kernel_id": "48121554"}, {"ref": "djanyigit/ps3e26-prediction-of-cirrhosis-deep-learning", "kernel_id": "48411597"}, {"ref": "squarehare/using-ensembles-with-trained-ensembled-models", "kernel_id": "48379293"}, {"ref": "squarehare/huge-ensemble-20-models-hill-climbing-approach", "kernel_id": "48344033"}, {"ref": "squarehare/tuning-lgbm-with-optuna", "kernel_id": "48260173"}, {"ref": "ajaybabua/multi-class-prediction-of-cirrhosis-log-reg-dtc", "kernel_id": "48577185"}, {"ref": "mdismielhossenabir/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48855631"}, {"ref": "tuhinm2002/playground-s3e26-pytorch-nn", "kernel_id": "48588749"}, {"ref": "conradkleykamp/prediction-of-cirrhosis-outcomes-xgboost", "kernel_id": "48131415"}, {"ref": "mihiranpasindu/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48263879"}, {"ref": "valerybonneau/ps3e26-final-version", "kernel_id": "48569474"}, {"ref": "kgsagar/cirrhosis-outcome-predictions", "kernel_id": "48771055"}, {"ref": "yinn94/predict-of-cirrhosis", "kernel_id": "48646429"}, {"ref": "ravi20076/playgrounds3e26-baseline-v2", "kernel_id": "48205973"}, {"ref": "alexandreazouri/random-forest-classification", "kernel_id": "48601782"}, {"ref": "alexandreazouri/mcp-cirrhosis-outcomes", "kernel_id": "48006930"}, {"ref": "lseongho/multiclass-cirrhosis-prediction-using-lightgbm", "kernel_id": "48413025"}, {"ref": "mariamkilibechir/cirrhosis-classification", "kernel_id": "48820018"}, {"ref": "iveeaten3223times/advanced-model-stacking-with-deep-tf-nn", "kernel_id": "48506869"}, {"ref": "iveeaten3223times/booststack-mlp-fusion-beginner", "kernel_id": "48453271"}, {"ref": "etidandekar/notebook9e707ee1de", "kernel_id": "48134905"}, {"ref": "faresabbasai2022/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48646222"}, {"ref": "aniketmazumdar/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48683843"}, {"ref": "mohamedzaghloula/easy-code-multi-class-prediction-of-cirrhosis", "kernel_id": "48525415"}, {"ref": "bradhammond/cirrhosis-liver-rfc-xgb-neural-net", "kernel_id": "48403074"}, {"ref": "sunny7712/s3e26-lightgbm", "kernel_id": "48577974"}, {"ref": "sunny7712/ensembling-previous-submission-files", "kernel_id": "48780829"}, {"ref": "uzairshafique/playground-series-s3e26-ica", "kernel_id": "48782198"}, {"ref": "mostafamohammednouh/ps3e26-multi-class-prediction-of-cirrhosis", "kernel_id": "48219693"}, {"ref": "kershrita/catboost-optuna-in-cirrhosis-data", "kernel_id": "48652085"}, {"ref": "recursive69/multiclass-classification-xgboost", "kernel_id": "48018137"}, {"ref": "aryansingh0909/tps-s3e26", "kernel_id": "48328952"}, {"ref": "hridaym25/testing-out-a-few-ideas", "kernel_id": "48519065"}, {"ref": "hridaym25/pytorch-nn-from-scratch-optuna", "kernel_id": "48157727"}, {"ref": "hmikraminfo/prediction-of-cirrhosis-using-multiclass", "kernel_id": "48502813"}, {"ref": "hmikraminfo/multi-class-prediction-of-cirrhosis-witheasy-code", "kernel_id": "48560476"}, {"ref": "aymenbouyahia/xgboost-for-this-dataset", "kernel_id": "48540201"}, {"ref": "hasibullahaman/cirrhosis-outcomes-predictions-eda-lgbmclassifier", "kernel_id": "48102389"}, {"ref": "chloepomeroy/catboost", "kernel_id": "48099129"}, {"ref": "harharharhar/liver-competition", "kernel_id": "48136581"}, {"ref": "prudhvi143413s/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48739188"}, {"ref": "mouadberqia/cirrhosis-outcomes-optuna-hyper-params", "kernel_id": "48219385"}, {"ref": "juniorbertrand/ps3e26-cirrhosis", "kernel_id": "48248558"}, {"ref": "talnikarvishwam/very-easy-for-beginner-croos-val-score", "kernel_id": "48111316"}, {"ref": "yeemeitsang/cirrhosis-prediction", "kernel_id": "48755093"}, {"ref": "viliuspstininkas/optuna-and-xgboost-the-smart-way-to-tune-a-model", "kernel_id": "48216670"}, {"ref": "nazimcherpanov/prediction-of-cirrhosis-out-deep-learning", "kernel_id": "48181623"}, {"ref": "maryamayman20/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48580904"}, {"ref": "endofnight17j03/final", "kernel_id": "48764679"}, {"ref": "lucasdataartist/eda-statistical-analysis-visualization", "kernel_id": "48224574"}, {"ref": "oualihamza/cirrhosis-pred-complete-analysis-log-loss-0", "kernel_id": "48340679"}, {"ref": "ashokp21alr009/cirrhosis", "kernel_id": "48639839"}, {"ref": "syednazmussakib/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48069669"}, {"ref": "kanishk026/simple-ensemble", "kernel_id": "48214590"}, {"ref": "harshtailor/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48566167"}, {"ref": "xietaowang/s3e26-catboost-baseline", "kernel_id": "48034843"}, {"ref": "getanmolgupta01/cirrhosis-pred-xgboost-lbgm-catboost", "kernel_id": "48766523"}, {"ref": "aaryansingh729/easy-to-understand-beginner-xgb-prediction", "kernel_id": "48569446"}, {"ref": "shaikhabdulrafay03/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48722413"}, {"ref": "kumarharsh1801/notebook341b14c71b", "kernel_id": "48181643"}, {"ref": "kumarharsh1801/notebookc569702e28", "kernel_id": "48180390"}, {"ref": "anmolarora15/cirrhosis-s3e26-xgb", "kernel_id": "48177604"}, {"ref": "neupane9sujal/lgbm-with-oof-score", "kernel_id": "48252591"}, {"ref": "sanjushusanth/eda-feature-engineering-model-building", "kernel_id": "48247625"}, {"ref": "singhnavjot2062001/random-forest-cirrhosis-prediction", "kernel_id": "48217722"}, {"ref": "paradoxplusparadise/multi-class-prediction-of-cirrhosis", "kernel_id": "48341858"}, {"ref": "maxagrafa/prediction-of-cirrhosis-with-nn", "kernel_id": "48269408"}, {"ref": "samiratpadkar/multiclass-prediction-using-ann", "kernel_id": "48632431"}, {"ref": "itasps/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48763292"}, {"ref": "vanillasky312/lgbm-optuna", "kernel_id": "48386615"}, {"ref": "shaziyasultana/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48764385"}, {"ref": "anannoasif/multiclass", "kernel_id": "48043400"}, {"ref": "fatmanurcetnturk/multi-class-prediction-with-optuna-lightgbm", "kernel_id": "48118457"}, {"ref": "suryanshsharma1/medical-analysis-with-xg-boost-and-rf", "kernel_id": "48722540"}, {"ref": "muhammadnurikhsan/multi-class-prediction-of-cirrhosis-outcomes-ik17", "kernel_id": "48111102"}, {"ref": "ruchikarani/rt-multi-class-p-of-cirrhosis", "kernel_id": "48167419"}, {"ref": "danyamyakota/ps3e26-eda-and-predictive-modelling", "kernel_id": "48665931"}, {"ref": "shum14/xgboost-feature-engineering", "kernel_id": "48731224"}, {"ref": "shum14/13th-xgboost", "kernel_id": "48572010"}, {"ref": "djmishra11/lightgbm-eda-hypertuning-repeatedskf", "kernel_id": "48290364"}, {"ref": "djmishra11/xgboost-eda-hypertuning-repeatedskf", "kernel_id": "48290438"}, {"ref": "djmishra11/voting-ensemble-xgb-lgbm-catboost-gdb", "kernel_id": "48342992"}, {"ref": "amishkakru/cirrhoses", "kernel_id": "48274484"}, {"ref": "commentsm/cirrhosis-sk-functions", "kernel_id": "48346453"}, {"ref": "amulyat29/multi-class-prediction", "kernel_id": "48632931"}, {"ref": "jiahuiyu729/scikit-learn-classification-model-practice", "kernel_id": "48460250"}, {"ref": "talhabarkaatahmad/multi-class-prediction-of-cirrhosis-xgb", "kernel_id": "48221252"}, {"ref": "talhabarkaatahmad/multi-class-prediction-of-cirrhosis-nn", "kernel_id": "48179665"}, {"ref": "talhabarkaatahmad/prediction-of-cirrhosis-ensemble-nn-xgb", "kernel_id": "48582863"}, {"ref": "sandeepbora/notebook5031b8809c", "kernel_id": "48461328"}, {"ref": "royx1221/testing-data-chirosis", "kernel_id": "48076647"}, {"ref": "royx1221/tes123", "kernel_id": "48128273"}, {"ref": "saswattulo/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48248999"}, {"ref": "pattaraponjindaboot/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48074025"}, {"ref": "cheesegue/lgbm-cirrhosis", "kernel_id": "48558078"}, {"ref": "jayalakshmiet/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "48780897"}, {"ref": "speedwagon1299/cirrhosisxgboost", "kernel_id": "48611701"}, {"ref": "vinithaek/multiclass-liver-cirrhosis-outcome", "kernel_id": "48789353"}, {"ref": "cityuming/prediction-of-cirrhosis-outcomes-beginner-level", "kernel_id": "48556720"}, {"ref": "krishdidwania/notebookedf799c6b6", "kernel_id": "48385080"}, {"ref": "danielshola/playground-series-3e26", "kernel_id": "48939890"}, {"ref": "pluspin/pgs-s3-e26-eda-xgboost", "kernel_id": "48745461"}, {"ref": "reshmirbabu/cirrhosis-outcome", "kernel_id": "48789467"}, {"ref": "lashfire/testing-unique-ways", "kernel_id": "48095732"}, {"ref": "mfmfmf3/clean-code-multi-class-prediction-of-cirrhosis", "kernel_id": "48221846"}, {"ref": "najeebz/machine-learning-simple-model-evaluation-high-lb", "kernel_id": "48798911"}, {"ref": "usernameprateek/multi-class-prediction-of-cirrhosis", "kernel_id": "48383529"}, {"ref": "rapunzell/andakaaoktoraprasetyoo", "kernel_id": "48199494"}, {"ref": "andrewbremner/predict-cirrhosis-s3e26-pytorch-flexible-model", "kernel_id": "48147158"}, {"ref": "danadyaksa/m-rafy-danadyaksaa", "kernel_id": "48129764"}, {"ref": "fazagestananda/faza-gestananda", "kernel_id": "48016107"}, {"ref": "ishratunnisa/cirrhosis-classification-sklearn-pipeline", "kernel_id": "48644054"}, {"ref": "ishratunnisa/cirrhosis-eda", "kernel_id": "48514146"}, {"ref": "sonhoangvu/ps3e26-prediction-of-cirrhosis-xgb-lgm", "kernel_id": "48646517"}, {"ref": "mohammadbizhani/s3e26-xgb-cat-mlp-models", "kernel_id": "48747216"}, {"ref": "auliaqotrunnada/auliaa-qotrunnadaa", "kernel_id": "48199023"}, {"ref": "sid4ds/ps-s3e26-multiclass-xgboost-optuna", "kernel_id": "48762563"}, {"ref": "fabienpv/0-35-cv-error-0-42-on-lb", "kernel_id": "48796668"}, {"ref": "fabienpv/steady-prediction-optimization-0-403-lb", "kernel_id": "48965399"}, {"ref": "fabianaguirrechavez/prediction-of-cirrohis-outcomes-catboost", "kernel_id": "48495460"}, {"ref": "sergeydeev/multi-class-prediction", "kernel_id": "48040673"}, {"ref": "julyju/classifier-lgbm-mainly", "kernel_id": "48569136"}, {"ref": "byteliberator/cirrhosis-i-xgboost-i-xgbfir", "kernel_id": "48689842"}, {"ref": "byteliberator/cirrhosis-i-22nd-place-solution-i-lgbm-with-oofs", "kernel_id": "48380061"}, {"ref": "byteliberator/cirrhosis-i-model-interpretability-eli5-lime-shap", "kernel_id": "48310047"}, {"ref": "zhangmaomi/optuna-rs-xgboost-lightgbm", "kernel_id": "48182601"}, {"ref": "jayyanamandala/prediction-of-cirrhosis-outcomes-using-dl-nn", "kernel_id": "48725957"}, {"ref": "shubhams652/cirrhosis-outcome-prediction", "kernel_id": "49312454"}, {"ref": "jhanvishah25/notebook118966a315", "kernel_id": "49797759"}, {"ref": "anibansal/multiclass-prediction-of-cirrhosisxgboost-catboost", "kernel_id": "49821514"}, {"ref": "suvansh03/notebook74c6d3575e", "kernel_id": "49589487"}, {"ref": "sanyamgoyal401/multiclass-classification", "kernel_id": "49768947"}, {"ref": "goutham01/multilabel-classification-accuracy-0-74872", "kernel_id": "49744780"}, {"ref": "hardikgarg03/multi-class-prediction-of-cirrhosis-random-forest", "kernel_id": "49513022"}, {"ref": "sitanshuanmol/multi-class-cirrhosis-predictions-nn", "kernel_id": "49995513"}, {"ref": "o2ka03/multi-class-prediction-training", "kernel_id": "49831802"}, {"ref": "manindermaan/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "49779987"}, {"ref": "chhavidhankhar11/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "49386096"}, {"ref": "aparnasingh02/notebook2220ecee32", "kernel_id": "49704494"}, {"ref": "samarjeet09/multi-class-prediction-of-cirrhosis-outcomes-rfc", "kernel_id": "49774012"}, {"ref": "eduardomarinho44/bank-churn-competition-binary-classification", "kernel_id": "49623048"}, {"ref": "rohangulati14/multi-class-prediction-of-cirrhosis", "kernel_id": "49774839"}, {"ref": "divyam6969/cirrhosis-patient-survival-prediction", "kernel_id": "49786295"}, {"ref": "akshita0560/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "49579872"}, {"ref": "muratbakirr/great-exercise", "kernel_id": "49373760"}, {"ref": "abhinandansharma19/multi-class-prediction-of-cirrhosis", "kernel_id": "49778314"}, {"ref": "shreypachauri123/notebook8ba626efaa", "kernel_id": "49730604"}, {"ref": "somyamathur1014/s3e26-ensemble-xgb-lgbm-cat", "kernel_id": "49795929"}, {"ref": "vanshikam28/notebookf4a4db31ef", "kernel_id": "49794673"}, {"ref": "islamic/cirrhosis-patient-survival-getting-99-accuracy", "kernel_id": "49816621"}, {"ref": "khushiagarwal2068/notebookb4271ff8da", "kernel_id": "49794465"}, {"ref": "kkamal2003/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "49983467"}, {"ref": "nitleenk/cirrhosis-xgboost-notebook", "kernel_id": "49840886"}, {"ref": "vinee0/ml-score-0-54", "kernel_id": "49794382"}, {"ref": "pulkittarora/cirrhosis-outcomes", "kernel_id": "49784157"}, {"ref": "neelakshigupta/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "49586673"}, {"ref": "martinkolda/multi-class-classification-using-ann", "kernel_id": "49875493"}, {"ref": "kunal025/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "49595924"}, {"ref": "akulvaishnavi/multi-class-prediction-of-cirrhosis-my-version", "kernel_id": "49794730"}, {"ref": "shivamvermathapar/cirrhosis-outcomes", "kernel_id": "49827385"}, {"ref": "vatsalll/notebook7233baf322", "kernel_id": "49795404"}, {"ref": "vatsalll/notebook730505342b", "kernel_id": "49795439"}, {"ref": "vatsalll/notebook96518f253c", "kernel_id": "49796154"}, {"ref": "shwetakk/notebookcdb812cee0", "kernel_id": "49793492"}, {"ref": "himanshu230/notebook688b75557c", "kernel_id": "49596097"}, {"ref": "mayankgupta9/notebookb732a5d81e", "kernel_id": "49597572"}, {"ref": "chhavideora11/sumit3", "kernel_id": "49899119"}, {"ref": "kanishhkaa/notebook3dd52dbff1", "kernel_id": "49591691"}, {"ref": "rohanthakur336/playground-problem-2", "kernel_id": "49743918"}, {"ref": "stutimittal11/kaggle1", "kernel_id": "49574231"}, {"ref": "priyalsingla/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "49143001"}, {"ref": "richika11/notebook339afc4891", "kernel_id": "49791352"}, {"ref": "hrshpreet/random-forest", "kernel_id": "49792014"}, {"ref": "samarjeetsinghgandhi/cirrhosis-random-forrest-classifier", "kernel_id": "49915763"}, {"ref": "samarjeetsinghgandhi/cirrhosis-outcomes-using-xgboost", "kernel_id": "49962786"}, {"ref": "harshitstark/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "49683634"}, {"ref": "priyanshu54200/cirrhosisoutcomes-ml-ps", "kernel_id": "49676108"}, {"ref": "dhruvsinghchauhan01/cirrhosis", "kernel_id": "49739553"}, {"ref": "thaparrishav/cirrhosisoutcomes-randomforest", "kernel_id": "49687864"}, {"ref": "quackinghorse/cirrhosis-patient-survival-prediction-102103453", "kernel_id": "49739038"}, {"ref": "ananyagupta184/notebook432e66d11f", "kernel_id": "49780821"}, {"ref": "ananyagupta184/notebookfef7dc88ba", "kernel_id": "49786487"}, {"ref": "siddhantjain03/notebookdd04cdd37f", "kernel_id": "49794624"}, {"ref": "saanvi004/notebookc8a2b87129", "kernel_id": "49778589"}, {"ref": "parthvashish/notebook57c705d68d", "kernel_id": "49592435"}, {"ref": "nanomondo/ps3e26-cirrhosis-survial-prediction-multiclass", "kernel_id": "49806322"}, {"ref": "nanomondo/cirrhosis-patient-survival-prediction-ef28c9", "kernel_id": "49807806"}, {"ref": "abhinandan09/multi-class-prediction-of-cirrhosis", "kernel_id": "49885587"}, {"ref": "karanchhabra2003/cirrhosis-patient-survival-prediction", "kernel_id": "49922636"}, {"ref": "kirderf/s3e26-autogluon-pseudolabel-distill-stacking", "kernel_id": "50558292"}, {"ref": "purusachdeva/cirrhosis-prediction", "kernel_id": "50812668"}, {"ref": "vayanshgarg/notebook-prediction-of-cirrhosis-rf-xgb", "kernel_id": "50297672"}, {"ref": "mannatpruthi/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50974339"}, {"ref": "salah555/cirrhosis-patient-survival-prediction", "kernel_id": "50712472"}, {"ref": "kriti264/playground-problem", "kernel_id": "50114689"}, {"ref": "akashdeepkataria/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50097636"}, {"ref": "tanisha1604/multi-class-prediction-of-cirrhosis-outcome", "kernel_id": "50206018"}, {"ref": "akshaykhanna05/prediction-of-cirrhosis-akshay", "kernel_id": "50730597"}, {"ref": "riyaraizada/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50826732"}, {"ref": "ramjaslangdi/multi-class-prediction-of-cirrhosis-outcomes-rfc", "kernel_id": "50110951"}, {"ref": "ramjaslangdi/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50465708"}, {"ref": "tarushirastogi/cirrhosis-outcomes", "kernel_id": "50698521"}, {"ref": "akshitaakshita/cirrhosis-prediction", "kernel_id": "50812519"}, {"ref": "bharathtoutireddy/feature-engineering-ensembles-voting-stacking", "kernel_id": "50092350"}, {"ref": "cheesecke/prediction-of-cirrhosis-outcomes-playground-s3e26", "kernel_id": "50115176"}, {"ref": "drishtiagarwal20/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50974242"}, {"ref": "pulkitsanan/prediction-of-cirrhosis-outcomes-lazypredict-lgbm", "kernel_id": "50784511"}, {"ref": "ishaangaba17/prediction-of-cirrhosis-outcomes-random-forest", "kernel_id": "50064880"}, {"ref": "sardorwwe/multi-class-prediction", "kernel_id": "50499816"}, {"ref": "aryangupta30/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50007172"}, {"ref": "praneykalra/cirrhosis-with-hyperparameter", "kernel_id": "50986109"}, {"ref": "yatharthgautam123789/prediction-of-cirrhosis-yatharth", "kernel_id": "50821866"}, {"ref": "jatinthakur706/prediction-of-cirrhosis-outcomes-lgbm", "kernel_id": "50221720"}, {"ref": "lookitskhushboo/notebook18fc022358", "kernel_id": "50808778"}, {"ref": "akshit2605/notebook33c5ded137", "kernel_id": "50521771"}, {"ref": "piyush1234ggfuvi/notebook0c2cce2cb0", "kernel_id": "50062743"}, {"ref": "ujjvalvashisht/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50247538"}, {"ref": "jasmeet0516/multi-class-prediction-of-cirrhosis", "kernel_id": "50221836"}, {"ref": "ashish32700/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50785124"}, {"ref": "jindal05/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50474967"}, {"ref": "garvitmadaan/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50474783"}, {"ref": "navjotkaur1312/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50103797"}, {"ref": "chhavideora11/multi-class-prediction-of-cirrhosis-random-forest", "kernel_id": "50425518"}, {"ref": "ziyadj/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50149727"}, {"ref": "muhammedjunaisk/notebook32adce882a", "kernel_id": "50193534"}, {"ref": "aarushijain24/multi-class-prediction-of-cirrhosis-outcomes-v1", "kernel_id": "50074081"}, {"ref": "kartikye10/multi-class-prediction-of-cirrhosis-outcomes-lgbm", "kernel_id": "50775489"}, {"ref": "jjjjjjjjfdgdg/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50784759"}, {"ref": "chinmayeegoyal/prediction-of-cirrhosis", "kernel_id": "50812061"}, {"ref": "rijuljain2003/multi-classprediction", "kernel_id": "50147786"}, {"ref": "bhavyabhalla2701/multiclass-predictions", "kernel_id": "50144602"}, {"ref": "namishjindal4/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50911221"}, {"ref": "nishthakumari20/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50909798"}, {"ref": "paramvir705/cirrhosis-outcome-prediction", "kernel_id": "50785808"}, {"ref": "rahulgurwannn/notebook9e42662940", "kernel_id": "50105201"}, {"ref": "nrng19/sol-1", "kernel_id": "50089379"}, {"ref": "aarushijuneja07/prediction-of-cirrhosis", "kernel_id": "50647966"}, {"ref": "kaurneetlove/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "50221824"}, {"ref": "adityagoel2205/cirrhosis-prediction", "kernel_id": "50034923"}, {"ref": "vanya2m/notebookec254edd66", "kernel_id": "50862933"}, {"ref": "manmeetkaursidhu/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "51080910"}, {"ref": "akshayramakrishnan28/multiclass-prediction-with-ada-boost", "kernel_id": "51618796"}, {"ref": "sanyamgoyal401/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "51128610"}, {"ref": "manvendrarajsingh/notebook899f3eeb0e", "kernel_id": "51564525"}, {"ref": "dheerov/multi-class-prediction-of-cirrhosis", "kernel_id": "51459849"}, {"ref": "harbandanakaur/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "51599069"}, {"ref": "prabhdeep123/multi-class-prediction-of-cirrhosis-utcomes", "kernel_id": "51270496"}, {"ref": "yashpuri1912/cirrhosis-playgrounds3e26", "kernel_id": "51263465"}, {"ref": "devbansal2140/multi-class-prediction", "kernel_id": "51405263"}, {"ref": "aradhakkandhari/cirrhosis-outcomes-prediction", "kernel_id": "51231192"}, {"ref": "aayushibareja/notebookc00465bc41", "kernel_id": "51108156"}, {"ref": "aayushibareja/notebook7d776ec67a", "kernel_id": "51566189"}, {"ref": "devansharora7/cirrhosis-outcomes-d", "kernel_id": "51893927"}, {"ref": "ashnaarora251/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "51014833"}, {"ref": "hrshbachan3/cirrhosis-prediction-using-xgboost", "kernel_id": "51258759"}, {"ref": "chahat03/cirrhosis-prediction-p4", "kernel_id": "52310934"}, {"ref": "rishitaverma02/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "53354634"}, {"ref": "affankhan8499/multi-class-prediction-of-cirrhosis", "kernel_id": "53558612"}, {"ref": "cdr0101/cirrhosis-prediction-multiclass", "kernel_id": "53899682"}, {"ref": "chiragchiku25/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "54189861"}, {"ref": "tanishas2024/cirrhosis", "kernel_id": "54007464"}, {"ref": "aditivij/cirrhosisoutcomes", "kernel_id": "54688586"}, {"ref": "chanchal24/liver-disease-prediction-using-7-models", "kernel_id": "55463130"}, {"ref": "japleenkaurbedi/cirrhosis-outcomes", "kernel_id": "55121714"}, {"ref": "ssyyhh/eda-of-cirrhosis-with-prediction-of-status-gbr", "kernel_id": "56818567"}, {"ref": "akoirala111/classification-prediction-of-cirrhosis", "kernel_id": "56317895"}, {"ref": "samanyus1/cirrhosis-outcomes-project-ml", "kernel_id": "56041195"}, {"ref": "ahammadmejbah/neural-odes-navigate-data-complexity-effortlessly", "kernel_id": "56666854"}, {"ref": "sandeepsharma94169/multi-class-liver-disease-classification", "kernel_id": "57926860"}, {"ref": "aryangupta30/classification-prediction-of-cirrhosis", "kernel_id": "57925486"}, {"ref": "nandaprasetia/multi-class-prediction-mha-hyperp-smote", "kernel_id": "58168751"}, {"ref": "tomkrger/pairwiseimportance-rf-xgb-ffnn", "kernel_id": "58086692"}, {"ref": "baractarupaul/notebooke40addefd3", "kernel_id": "58509802"}, {"ref": "baractarupaul/notebookb078edbaa2", "kernel_id": "58497151"}, {"ref": "drmurataltun/c3-multi-class-prediction-of-cirrhosis-outcomes-pi", "kernel_id": "60418942"}, {"ref": "raja6242/liverfutures-predicting-cirrhosis-outcomes", "kernel_id": "61585082"}, {"ref": "nicohahn/multi-class-prediction-using-tree-based-models", "kernel_id": "64255850"}, {"ref": "haoqingsong/syz-study-ml", "kernel_id": "64112874"}, {"ref": "vasanthkumarch/cirrhosis-survial-prediction-multiclass", "kernel_id": "65216408"}, {"ref": "stpeteishii/ps-s3e26-lgbm-multiclass-w-optuna-multitargets", "kernel_id": "66434499"}, {"ref": "stpeteishii/ps-s3e26-lgbm-w-optuna-for-multi-targets", "kernel_id": "66165670"}, {"ref": "haoqingsong/lll-study-pytorch", "kernel_id": "66254930"}, {"ref": "trietp1253201581/multi-class-cirrhosis-outcomes-s3e26", "kernel_id": "66453429"}, {"ref": "snehalkhandewale/liver-cirrhosis-classification", "kernel_id": "69305519"}, {"ref": "ksmooi/prediction-of-cirrhosis-ft-eng-xgb-classifier", "kernel_id": "71307728"}, {"ref": "cohhey/notebook3ab06fdd49", "kernel_id": "73637289"}, {"ref": "elasgustavoknaus/multi-label-and-multi-class-classification", "kernel_id": "73441571"}, {"ref": "elasgustavoknaus/multi-class-beginner-framework-cirrhosis", "kernel_id": "73442076"}, {"ref": "judjdigj/notebook", "kernel_id": "78666627"}, {"ref": "yasserhessein/cirrhosis-outcome-prediction-with-ml", "kernel_id": "79686547"}, {"ref": "erenymagdy/liver-disease-prediction-using-7-models", "kernel_id": "83823903"}, {"ref": "stpeteishii/ps-s3e26-lgbm-w-optuna-kfold", "kernel_id": "91745521"}, {"ref": "stpeteishii/diamond-price-lgbm-w-optuna-kfold", "kernel_id": "91840735"}, {"ref": "stpeteishii/ps-s3e26-randomforest-multi-class-estimation", "kernel_id": "92546419"}, {"ref": "nataliadyuzhina/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "94406204"}, {"ref": "thuandao/prediction-of-cirrhosis-outcomes-eda-ml", "kernel_id": "96929542"}, {"ref": "chovyxu/multi-class-prediction-of-cirrhosis", "kernel_id": "97017225"}, {"ref": "mrhbijoy/whatever-notgeiingjkucbvbjkadrs", "kernel_id": "102612174"}, {"ref": "osmanozcanli/cirrhosis-prediction-with-ml", "kernel_id": "110072617"}, {"ref": "liucuiying/notebookby4", "kernel_id": "115206979"}, {"ref": "lunorabloom/cirrhosis-survival-analysis-and-predictive-model", "kernel_id": "117616653"}, {"ref": "zqx960151285/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "129915987"}]}
{"competition_id": "60919", "kernels": []}
{"competition_id": "60925", "kernels": [{"ref": "marcelodias/modelo-inicial-de-regress-o", "kernel_id": "43307170"}, {"ref": "marcelodias/rede-para-regress-o", "kernel_id": "43331124"}, {"ref": "leonardoleandrotmp/predi-o-de-pre-o-com-pycaret", "kernel_id": "43421668"}]}
{"competition_id": "60933", "kernels": []}
{"competition_id": "60936", "kernels": []}
{"competition_id": "60937", "kernels": []}
{"competition_id": "60951", "kernels": []}
{"competition_id": "60971", "kernels": [{"ref": "derguene/starter-notebook-wolof-ner", "kernel_id": "43444015"}, {"ref": "alimoudineidrissou/byly-ai-model-wolof-ner", "kernel_id": "44797399"}]}
{"competition_id": "61001", "kernels": []}
{"competition_id": "61015", "kernels": [{"ref": "cselmo/notebook-cero", "kernel_id": "43375405"}]}
{"competition_id": "61026", "kernels": []}
{"competition_id": "61131", "kernels": [{"ref": "nikhil04/introduction-to-statistics", "kernel_id": "48962017"}, {"ref": "hoangtrungvan/61-hoangtrungvan", "kernel_id": "51966609"}, {"ref": "nourhan124/titanic", "kernel_id": "65675039"}, {"ref": "mostafahamed1/case-study-1-titanic-survival-prediction", "kernel_id": "129472483"}]}
{"competition_id": "61145", "kernels": [{"ref": "ponybiam/03-example-eda", "kernel_id": "45928673"}, {"ref": "ponybiam/04-example-data-processing-and-feature-engineer", "kernel_id": "45759654"}, {"ref": "mariofrei/02-example-minimal-viable-ml-example", "kernel_id": "45697826"}, {"ref": "mariofrei/01-example-basic-visualizations", "kernel_id": "45698210"}, {"ref": "radhakrishnanb/01-example-basic-visualizations", "kernel_id": "46851285"}, {"ref": "janani90/data-visualization-using-r", "kernel_id": "47577353"}, {"ref": "michaelibrahim/1st-place-solution-cool-quiet-city-competition", "kernel_id": "51602327"}, {"ref": "freimans/3d-place-cool-quiet-city-competition", "kernel_id": "51781500"}, {"ref": "iqbalsyahakbar/2nd-place-cool-quiet-city-competition", "kernel_id": "51556197"}, {"ref": "matiasqr/2024-1ind41-03", "kernel_id": "52525732"}, {"ref": "togent/2024-1ind41-03-ov", "kernel_id": "52619627"}, {"ref": "angelquintana123/2024-1ind41-03", "kernel_id": "52593223"}, {"ref": "eduardozavalaalmerco/2024-1ind41-03", "kernel_id": "52593352"}, {"ref": "sergyo/2024-1ind41-03", "kernel_id": "52597843"}, {"ref": "kevinsaraviaquispe/2024-1ind41-03", "kernel_id": "52593390"}, {"ref": "wilfredocp/2024-1ind41-03", "kernel_id": "52673125"}, {"ref": "danielbasualdo/2024-1ind41-03", "kernel_id": "52593851"}, {"ref": "isamirands/2024-1ind41-03", "kernel_id": "52593244"}, {"ref": "josuecamposq/2024-1ind41-03", "kernel_id": "52593344"}, {"ref": "hanselbendezulara/2024-1ind41-03", "kernel_id": "52593238"}, {"ref": "millermendoza/2024-1ind41-03", "kernel_id": "52672534"}, {"ref": "rubivillafana/2024-1ind41-03", "kernel_id": "52633132"}, {"ref": "rubivillafana/1ind41-2024-3place", "kernel_id": "52676406"}, {"ref": "cesarpachassotelo/cesar-pachas-1ind41-0935-sesion-3", "kernel_id": "52623177"}, {"ref": "lcampos959/2024-1ind41-03", "kernel_id": "52664696"}, {"ref": "christianhramos/2024-1ind41-03", "kernel_id": "52593724"}, {"ref": "adrielg21/2024-1ind41-03", "kernel_id": "52593405"}, {"ref": "pierogn7/2024-1ind41-03-piero-gutierrez", "kernel_id": "52593433"}, {"ref": "josefhlopez/2024-1ind41-03", "kernel_id": "52652928"}, {"ref": "katherinecaruajulca/2024-1ind41-03", "kernel_id": "52619564"}, {"ref": "tonyblade77/2024-1ind41-03-1-3", "kernel_id": "52676179"}, {"ref": "willyhuallpapillco/2024-1ind41-03", "kernel_id": "52619482"}, {"ref": "mavend/2024-1ind41-03", "kernel_id": "52678277"}, {"ref": "danielaquispe/my-version-solution-cool-quiet-city-competition", "kernel_id": "52615216"}, {"ref": "danielaquispe/2024-1ind41-03-dq", "kernel_id": "52593745"}]}
{"competition_id": "61200", "kernels": [{"ref": "ronggurmwp/13519008-13520100", "kernel_id": "43487332"}, {"ref": "rizkyramadhana/fruit-image-classification", "kernel_id": "43536040"}, {"ref": "rifqinaufalabdjul/13520062-13520139-praktikum-1-mll", "kernel_id": "43487345"}, {"ref": "zaydzuhri/13520144", "kernel_id": "43487412"}]}
{"competition_id": "61222", "kernels": [{"ref": "saisrivatsa96/telecom-churn-case-study-ipynb", "kernel_id": "45154921"}]}
{"competition_id": "61225", "kernels": []}
{"competition_id": "61247", "kernels": [{"ref": "isakatsuyoshi/logger", "kernel_id": "56548814"}, {"ref": "robikscube/intro-to-rigging-for-llm-20-questions-llama3", "kernel_id": "57844561"}, {"ref": "docxian/llm-20-questions-keywords", "kernel_id": "57347907"}, {"ref": "ryanholbrook/llm-20-questions-starter-notebook", "kernel_id": "57278236"}, {"ref": "jazivxt/llm20q-gemma-2b-it", "kernel_id": "57285342"}, {"ref": "mpwolke/20q-game-waiting-in-the-queue", "kernel_id": "57379539"}, {"ref": "mpwolke/is-it-a-q20-game-gemma-2b-en", "kernel_id": "57281225"}, {"ref": "regisvargas/llm-20-questions-starter-notebook-chatgpt", "kernel_id": "57608362"}, {"ref": "waechter/llm-20-questions-eda-map-keywords", "kernel_id": "57340715"}, {"ref": "waechter/llm-20-questions-games-dataset", "kernel_id": "57779916"}, {"ref": "nicklanders/llm-20-questions-rigging-vllm-llama-3-8b", "kernel_id": "57805121"}, {"ref": "nicklanders/llm-20-questions-rigging-llama-3-8b", "kernel_id": "57739167"}, {"ref": "shadesh/bert-and-nlp", "kernel_id": "57583329"}, {"ref": "pawinchan/phi3-20-questions", "kernel_id": "57501735"}, {"ref": "makimakiai/llm-20-questions", "kernel_id": "57942673"}, {"ref": "rturley/run-debug-llm-20-questions-in-a-notebook", "kernel_id": "58144358"}, {"ref": "develuse/llm20q-gemma-2b-it-tpu", "kernel_id": "58065351"}, {"ref": "mzaoualim/quick-keywords-eda", "kernel_id": "58551822"}, {"ref": "christianwittmann/llm-20-questions-starter-notebook-fully-documented", "kernel_id": "58864026"}, {"ref": "regisvargas/trying-to-understand-the-baseline-python-file", "kernel_id": "58534249"}, {"ref": "arlle26/understanding-llm-20-questions-starter-notebook", "kernel_id": "58084455"}, {"ref": "waechter/llm-20-questions-leaderbord-analyze-best-agents", "kernel_id": "58457773"}, {"ref": "pavlobaranchuk/llm-20-questions", "kernel_id": "58369153"}, {"ref": "matthewsfarmer/llm-20-questions", "kernel_id": "58600270"}, {"ref": "dprincearmandkoumi/llm-20-questions-kdpa", "kernel_id": "58006655"}, {"ref": "muhammadrameez242/llm-competetion", "kernel_id": "58491645"}, {"ref": "grshankersai/input-output", "kernel_id": "59154594"}, {"ref": "grshankersai/sample-submit", "kernel_id": "59166052"}, {"ref": "lohmaa/llm20-agent-alpha", "kernel_id": "59466693"}, {"ref": "matthewsfarmer/20q-gemma", "kernel_id": "59452167"}, {"ref": "vai15r32/llm-20-questions", "kernel_id": "59949040"}, {"ref": "robikscube/phi3-intro-to-rigging-for-llm-20-questions", "kernel_id": "60872347"}, {"ref": "kasafumi/comparing-questions-generated-by-gemma", "kernel_id": "60973168"}, {"ref": "wouldyoujustfocus/llama3-8b-llm20-questions-lb-750", "kernel_id": "60990185"}, {"ref": "jonathanjamesharker/llm-20-qs-simple-start", "kernel_id": "60289879"}, {"ref": "jasperbutcher/simple-random-guessing-beats-gemma-lb-651-4", "kernel_id": "60439187"}, {"ref": "waechter/20questions-keywords-things-definitions", "kernel_id": "60524011"}, {"ref": "matthewsfarmer/quick-test-agent-without-game-environment", "kernel_id": "60789603"}, {"ref": "tokyoghoulll/twenty-quest-ons-game", "kernel_id": "60342098"}, {"ref": "sonyc5720/llm-20-questions-gemma-tutorial", "kernel_id": "61658292"}, {"ref": "kasafumi/llm20q-simulate-without-kaggle-environments", "kernel_id": "61709662"}, {"ref": "kasafumi/llm20q-qwen2-7b-it", "kernel_id": "61837548"}, {"ref": "kasafumi/gemma2-9b-it-llm20-questions", "kernel_id": "61544294"}, {"ref": "jademonk/tricksy-hobbitses-llm-20-questions-solution", "kernel_id": "61982207"}, {"ref": "regisvargas/fork-of-intro-to-rigging-for-llm-20-questio-cf80a4", "kernel_id": "61587201"}, {"ref": "chanchal24/generate-image-from-text", "kernel_id": "61540835"}, {"ref": "shreyyyj/llm-20-questions-starter-notebook", "kernel_id": "61306887"}, {"ref": "philipha2/llm20q-gemma-2b-it", "kernel_id": "61998618"}, {"ref": "yuangwu/saaaa2", "kernel_id": "61674678"}, {"ref": "esthercute/llm-20-questions-starter-notebook", "kernel_id": "61553723"}, {"ref": "hafizkhanil/llm-20-questions-starter", "kernel_id": "61293930"}, {"ref": "gavinxgcao/a-different-interaction-between-asker-and-answer", "kernel_id": "62127382"}, {"ref": "cdeotte/starter-code-for-llama-8b-llm-lb-0-750", "kernel_id": "62247087"}, {"ref": "kasafumi/llm20q-rule-based-llama3", "kernel_id": "62448916"}, {"ref": "gguillard/llm-20-questions-trueskill-simulator", "kernel_id": "62165565"}, {"ref": "regisvargas/fork-of-obtaining-game-data", "kernel_id": "62354856"}, {"ref": "isakatsuyoshi/llm20-config", "kernel_id": "62803727"}, {"ref": "isakatsuyoshi/protocol", "kernel_id": "62813367"}, {"ref": "isakatsuyoshi/keyword-question-mapping", "kernel_id": "62854120"}, {"ref": "isakatsuyoshi/llm20-llm-system", "kernel_id": "62856158"}, {"ref": "isakatsuyoshi/llm20-main", "kernel_id": "62062544"}, {"ref": "isakatsuyoshi/theoretical-analysis-of-the-20-questions-game", "kernel_id": "62115003"}, {"ref": "fnushashank/llm-20-questions-starter-notebook", "kernel_id": "62466370"}, {"ref": "matthewsfarmer/llm-20q-starter-notebook-2-0", "kernel_id": "62309371"}, {"ref": "yoshizakihibiki/notebook414253a011", "kernel_id": "62414853"}, {"ref": "chengfg/llama3-8b-llm20-questions-lb-750", "kernel_id": "62011807"}, {"ref": "makimakiai/jp-theoretical-analysis-of-the-20-questions-game", "kernel_id": "62814084"}, {"ref": "sambitmukherjee/llm-20-questions-offline-pip-install", "kernel_id": "63407182"}, {"ref": "khahuras/offline-policy-questioner-agent", "kernel_id": "63463797"}, {"ref": "isakatsuyoshi/word-utils", "kernel_id": "63328009"}, {"ref": "isakatsuyoshi/wiki-data", "kernel_id": "63554372"}, {"ref": "isakatsuyoshi/robot", "kernel_id": "63588722"}, {"ref": "isakatsuyoshi/formulas", "kernel_id": "63632352"}, {"ref": "isakatsuyoshi/dictionary-binary-search", "kernel_id": "63675205"}, {"ref": "isakatsuyoshi/9th-semantic-visualization-of-keywords", "kernel_id": "63976686"}, {"ref": "vishnusindal/agent-20q-llama3-1", "kernel_id": "63074071"}, {"ref": "babydriver1233/questions-and-answers-for-llm", "kernel_id": "63393765"}, {"ref": "mutoy1/llm20-llama3-1-chainofthoughts-lb-784-6", "kernel_id": "63639250"}, {"ref": "blackbun/llm-20-questions-rule-based-llama3-1", "kernel_id": "63274459"}, {"ref": "blackbun/llm-20q-baseline-llama3-phi3-qwen2-hf", "kernel_id": "63102943"}, {"ref": "denniswang07/submission-for-llm-20-questions", "kernel_id": "63135495"}, {"ref": "kolapoadedipe/llm-20-questions-starter-notebook", "kernel_id": "63220395"}, {"ref": "vovikdrg/45th-pure-llm-20-questions", "kernel_id": "64537046"}, {"ref": "raiderrzj/181th-prompt-engineering-only-with-llama3-1", "kernel_id": "64630540"}, {"ref": "isakatsuyoshi/9th-final-submission-llm-20-questions", "kernel_id": "64137960"}, {"ref": "isakatsuyoshi/9th-eda-of-llm-20-questions-solution-datasets", "kernel_id": "64166861"}, {"ref": "matthewsfarmer/solution-l3-1-8b-inst-kraut", "kernel_id": "64077945"}, {"ref": "blackbun/llm-20-questions-rule-based-chatqa-final-keyword", "kernel_id": "64035227"}, {"ref": "karamalrobaie/final-submission-2", "kernel_id": "64091480"}, {"ref": "cdeotte/make-animation-of-winning-teams", "kernel_id": "65001778"}, {"ref": "naimul314/prompt-engineering-with-llama3-1-reflection", "kernel_id": "65541325"}, {"ref": "max1mum/solving-20-questions-with-l3-and-tree-of-thought", "kernel_id": "65000769"}, {"ref": "yamato0126/192nd-online-policy-agent-with-llama-3-1", "kernel_id": "65086308"}, {"ref": "keihasegawa0503/58th-place-llm20q-agent", "kernel_id": "65005523"}, {"ref": "parshavsweetpotato/gemma-ml", "kernel_id": "65744287"}, {"ref": "sonypermana/repos-owner-repo-hooks-hook-id", "kernel_id": "67297730"}, {"ref": "sujitmadhavan/lang-gen", "kernel_id": "68160111"}, {"ref": "isakatsuyoshi/llm-umap-for-anomaly-detection-in-text-data", "kernel_id": "72471657"}, {"ref": "isakatsuyoshi/llm-umap-for-clustering-in-text", "kernel_id": "73137057"}, {"ref": "estebanbautistaud/notebook65256a8814", "kernel_id": "86889049"}, {"ref": "isakatsuyoshi/deepseek-r1-for-clustering-in-text", "kernel_id": "103797339"}, {"ref": "valentinorayisabell/hybrid-llm-ensemble-posterior-tf-idf", "kernel_id": "116333358"}, {"ref": "izzudinmuhamad/llm-20-questions-starter-notebook-baseline", "kernel_id": "117797130"}, {"ref": "izzudinmuhamad/llm-20-questions-improved", "kernel_id": "118036717"}]}
{"competition_id": "61282", "kernels": [{"ref": "littlejian/coarse-grained-scan-gan", "kernel_id": "43770099"}, {"ref": "mecoywittergreen/siat-baseline", "kernel_id": "43639978"}, {"ref": "milesyeyuhao/cnn-lstm", "kernel_id": "44550303"}, {"ref": "mecoywittergreen/thecode-majiangbihudui", "kernel_id": "44395244"}, {"ref": "garybios/siat-infer-all-mutate", "kernel_id": "45140806"}, {"ref": "vinnisha/gbdt-like-model-mitus", "kernel_id": "45158930"}, {"ref": "zechenll/notebooke3f1eb0237", "kernel_id": "45166048"}, {"ref": "asamjnika/shishi", "kernel_id": "45015172"}, {"ref": "asamjnika/final", "kernel_id": "45071038"}, {"ref": "jadaafa/hst-gnn", "kernel_id": "45195828"}, {"ref": "jadaafa/hst-gnn-data", "kernel_id": "45194421"}, {"ref": "dengrr/biodesign", "kernel_id": "45347199"}, {"ref": "zhzece/hkbu-pro", "kernel_id": "45168823"}]}
{"competition_id": "61289", "kernels": []}
{"competition_id": "61294", "kernels": []}
{"competition_id": "61381", "kernels": []}
{"competition_id": "61446", "kernels": [{"ref": "tapaskd123/3d-mri-brain-tumor-segmentation-u-net", "kernel_id": "22715965"}, {"ref": "pangyuteng/tiff-to-nifti-visualize-using-itksnap", "kernel_id": "45993592"}, {"ref": "rafiko1/sennet-hoa-eda-animation", "kernel_id": "45918727"}, {"ref": "stpeteishii/blood-vessel-mask-slide-show", "kernel_id": "45933627"}, {"ref": "stpeteishii/blood-vessel-image-slide-show", "kernel_id": "45979236"}, {"ref": "stpeteishii/blood-vessel-mask-unet-w-callback", "kernel_id": "45981194"}, {"ref": "stpeteishii/blood-vessel-check-callback-images", "kernel_id": "45981237"}, {"ref": "mpwolke/kidney-senescence-pyvips", "kernel_id": "45830063"}, {"ref": "sytuannguyen/blood-vessel-segmentation", "kernel_id": "45835500"}, {"ref": "jirkaborovec/sennet-hoa-rle-decode-encode-demo-submission", "kernel_id": "45881301"}, {"ref": "jirkaborovec/sennet-hoa-eda-lightning-segmentation-2d", "kernel_id": "45910976"}, {"ref": "jgabrielsb/unet-from-scratch", "kernel_id": "45987294"}, {"ref": "salmankhaliq22/opencv-skimage-denoising-techniques", "kernel_id": "45882656"}, {"ref": "salmankhaliq22/tf-keras-unet-starter-sennet-hoa", "kernel_id": "45840016"}, {"ref": "salmankhaliq22/tf-keras-attention-unet-code", "kernel_id": "45844443"}, {"ref": "salmankhaliq22/tf-keras-segnet-starter-submission", "kernel_id": "45843036"}, {"ref": "sb0702/sennet-hoa-visualize-3d-slice-mask", "kernel_id": "45825732"}, {"ref": "miltiadesgeneral/preparing-coco-dataset", "kernel_id": "45835069"}, {"ref": "bvinning/sennet-hoa-viewer-widget", "kernel_id": "45994745"}, {"ref": "jefersonpazze/eda-baseline-ubc-sennet", "kernel_id": "45988568"}, {"ref": "hengck23/bug-3d-plot-with-pyvista", "kernel_id": "46812720"}, {"ref": "hengck23/lb0-808-resnet50-2d-unet-xy-zy-zx-cc3d", "kernel_id": "46938734"}, {"ref": "hengck23/check-kaggle-metric-for-cv", "kernel_id": "46957308"}, {"ref": "hengck23/lb0-534-baseline-simple-unet-seresnext26d-32x4", "kernel_id": "46452180"}, {"ref": "pangyuteng/xgboost-is-all-you-need", "kernel_id": "46094390"}, {"ref": "pangyuteng/frustrated-frank", "kernel_id": "46377045"}, {"ref": "allunia/eda-hacking-the-human-vasculature-in-3d", "kernel_id": "46499430"}, {"ref": "adebayo/eda-tf-keras-starter-vasculature-segmention", "kernel_id": "46412650"}, {"ref": "dhinkris/interactive-3d-viewer-tiff-to-nifti-images", "kernel_id": "46332961"}, {"ref": "harshitsheoran/notebooke824b39459", "kernel_id": "46102849"}, {"ref": "squidinator/kernel-method-baseline", "kernel_id": "46654260"}, {"ref": "squidinator/sennet-hoa-in-memory-tiled-dataset-pytorch", "kernel_id": "46638278"}, {"ref": "stpeteishii/blood-vessel-mask-to-rle", "kernel_id": "46006377"}, {"ref": "limitz/slicing-xz-and-zy", "kernel_id": "46475436"}, {"ref": "kashiwaba/sennet-hoa-inference-unet-simple-baseline", "kernel_id": "46026463"}, {"ref": "kashiwaba/pip-download-for-segmentation-models-pytorch", "kernel_id": "46022285"}, {"ref": "kashiwaba/sennet-hoa-train-unet-simple-baseline", "kernel_id": "46017915"}, {"ref": "dieptam/sennet-hoa-in-memory-tiled-dataset-pytorch", "kernel_id": "46667040"}, {"ref": "dieptam/blood-vessel-segmentation-submission-notebook", "kernel_id": "46296520"}, {"ref": "shreydan/first-look-monai-animations-rle", "kernel_id": "46086915"}, {"ref": "busharakmea/sennet-hoa-hacking-the-human-vasculature-in-3d", "kernel_id": "46009027"}, {"ref": "yoyobar/2-5d-cutting-model-baseline-training", "kernel_id": "46914173"}, {"ref": "clemchris/test-submission", "kernel_id": "46073889"}, {"ref": "suraj520/unet-end-to-end-train-infer", "kernel_id": "46679344"}, {"ref": "snorfyang/sennet-hoa-convnext-unet-sub", "kernel_id": "46703430"}, {"ref": "zenglinlin/2-clean-dataset", "kernel_id": "46491391"}, {"ref": "zenglinlin/1-explore-dataset", "kernel_id": "46478638"}, {"ref": "aniketkolte04/sennet-hoa-eda-animation", "kernel_id": "46788508"}, {"ref": "aniketkolte04/sennet-hoa-seg-pytorch-attention-gated-unet", "kernel_id": "46920367"}, {"ref": "langzhelu/sennet-submission-for-resnext-on-patched-images", "kernel_id": "46887209"}, {"ref": "langzhelu/sennet-unet-secondversion", "kernel_id": "46944447"}, {"ref": "kemh17/bloodvesselsegmentation", "kernel_id": "46733464"}, {"ref": "ngnmwt/surface-dice-metric-eda-hla-rna-mhc-sennet-hoa", "kernel_id": "46434022"}, {"ref": "perdigao1/kidney5-kidney6", "kernel_id": "46424734"}, {"ref": "tonyyunyang99/sennet-hoa-hacking-the-human-vasculature-in-3d", "kernel_id": "46362031"}, {"ref": "hengck23/submission-example-for-2d-to-3d-unet", "kernel_id": "47714427"}, {"ref": "hengck23/2d-to-3d-unet-demo", "kernel_id": "47662820"}, {"ref": "igorkrashenyi/fork-of-multiview-2-5-sennet-hoa-inference-v3", "kernel_id": "47629382"}, {"ref": "something4kag/sennet-hoa-pkgs", "kernel_id": "47956559"}, {"ref": "finlay/sennet-hoa-from-0-to-1", "kernel_id": "47861625"}, {"ref": "junkoda/fast-surface-dice-computation", "kernel_id": "47533905"}, {"ref": "dhinkris/training-patch-based-3d-unet-tf-tpu", "kernel_id": "47570204"}, {"ref": "dhinkris/inference-patch-based-3d-unet-tf-tpu", "kernel_id": "47572422"}, {"ref": "sonujha090/sennet-fastai-inference", "kernel_id": "47532297"}, {"ref": "sonujha090/sennet-fastai-starter", "kernel_id": "47180781"}, {"ref": "charlestao/notebook9816dd9369", "kernel_id": "47022952"}, {"ref": "limitz/pytorch-dataset-with-volumetric-augmentations", "kernel_id": "47122987"}, {"ref": "limitz/multi-gpu-inference-2d-3d", "kernel_id": "47946195"}, {"ref": "bhavesjain/segmentation-libs", "kernel_id": "47468020"}, {"ref": "korotas/sennet-hoa-pl-smp-training-and-inference", "kernel_id": "47638699"}, {"ref": "korotas/pip-download-clearml", "kernel_id": "47635505"}, {"ref": "markwatney/full-free-slice-rotations-animation", "kernel_id": "47967070"}, {"ref": "carljvh/renal-vascalature-with-fastai", "kernel_id": "47028564"}, {"ref": "rohitdileep/unet-tensorflow", "kernel_id": "47303431"}, {"ref": "ruslan1511/eda-animate-statistic", "kernel_id": "47107762"}, {"ref": "yasinadyaman/unet3dinfer", "kernel_id": "47723167"}, {"ref": "awxlong/hack-vasculature-transfer-learning", "kernel_id": "47310019"}, {"ref": "yoyobar/2-5d-cutting-model-baseline-inference", "kernel_id": "47532295"}, {"ref": "sacuscreed/unet3d-torch-gpu", "kernel_id": "47645465"}, {"ref": "pranshubahadur/so-hoa-eda-395-rows-w-all-0-masks", "kernel_id": "47889822"}, {"ref": "raviiloveyou/unet-xception-3d-vasculature-revolution", "kernel_id": "47950485"}, {"ref": "aniruthsundararajan/notebook03a2b1d268", "kernel_id": "47705956"}, {"ref": "lohithkandukuri/exploration", "kernel_id": "47252260"}, {"ref": "abdulkhaleel/senet", "kernel_id": "47935453"}, {"ref": "jannahmahmoud/notebook642a130582", "kernel_id": "47301571"}, {"ref": "athrunzala/bug-3d-plot-with-pyvista", "kernel_id": "47392013"}, {"ref": "athrunzala/2d-method", "kernel_id": "47221623"}, {"ref": "guptarohan2003/184run2", "kernel_id": "47434812"}, {"ref": "deanphamnguyen/dean-attention-unet-patch", "kernel_id": "47446790"}, {"ref": "deanphamnguyen/second-sennet-submission-c96555", "kernel_id": "47484572"}, {"ref": "deanphamnguyen/sennet-hoa-train-unet-simple-baseline", "kernel_id": "47260870"}, {"ref": "deanphamnguyen/dean-simple-unet-submission", "kernel_id": "47025451"}, {"ref": "prospernice/notebookebb4671baa", "kernel_id": "47084092"}, {"ref": "tereka/simpleunet-xy-xz-yz-v2-nbp-b749ff", "kernel_id": "48732462"}, {"ref": "slipknottn/blood-vessel-segmentation-simple-2d", "kernel_id": "48148735"}, {"ref": "theoviel/sennet-inference-theo", "kernel_id": "48573710"}, {"ref": "aeyeee/sennet-yolov8-inference", "kernel_id": "48812280"}, {"ref": "menno1111/empatches", "kernel_id": "48150275"}, {"ref": "nimaiji/segnet-tensorflow-blood-vessel-segmentation", "kernel_id": "48714671"}, {"ref": "sacuscreed/triple-your-data-oblique-slices", "kernel_id": "48179428"}, {"ref": "kyotaroh/sennet-hoa-attention-gated-unet-submission", "kernel_id": "48508453"}, {"ref": "pranshubahadur/sn-hoa-hf-sdm-dl-training", "kernel_id": "48644478"}, {"ref": "amanmukati/sennet-hoa", "kernel_id": "48956885"}, {"ref": "kirtirajsinhparmar/2-5d-cutting-model-baseline-inference", "kernel_id": "48854138"}, {"ref": "nuozhou1/sennet-submission", "kernel_id": "48464607"}, {"ref": "tanxxx/se-resnext-inference-1024", "kernel_id": "48902811"}, {"ref": "tushirsahu/attention-unet-pytorch-3d-segmentation", "kernel_id": "48017741"}, {"ref": "lohithkandukuri/empty-submission", "kernel_id": "48430798"}, {"ref": "tahseenislamsajon/sennet-hoa-3d-training-monai-pytorch", "kernel_id": "48815653"}, {"ref": "tahseenislamsajon/submission-example-for-2d-to-3d-unet", "kernel_id": "48302268"}, {"ref": "donottalk/sennet-hoa-research-eda-in-process", "kernel_id": "48444453"}, {"ref": "starsw/inference-1024-should-have-a-percentile-of-0-00149", "kernel_id": "48949638"}, {"ref": "rfeng12/sennet-kidney-slice-segmentations-not-working", "kernel_id": "48030904"}, {"ref": "ducchu12/training-6", "kernel_id": "48782096"}, {"ref": "ducchu12/the-training-image-is-1024-x-1024", "kernel_id": "48861516"}, {"ref": "greatgreysheep/lb-0-45", "kernel_id": "48506157"}, {"ref": "b45370/inferencenb", "kernel_id": "48920458"}, {"ref": "myyeahnet/inference-1024-should-have-a-percentile-of-ff210e", "kernel_id": "48936240"}, {"ref": "aatamikorpi/interactive-3d-plot", "kernel_id": "48775418"}, {"ref": "aatamikorpi/3d-reconstruction-visualistaion", "kernel_id": "48771519"}, {"ref": "slipknottn/install-segmentation-models-pytorch-0-3-3-ckpt", "kernel_id": "49120368"}, {"ref": "adrian774/mobile-unet-simple-2", "kernel_id": "49268609"}, {"ref": "awsaf49/sennet-hoa-kerascv-starter-notebook-train", "kernel_id": "49888341"}, {"ref": "awsaf49/sennet-hoa-kerascv-starter-notebook-infer", "kernel_id": "49888540"}, {"ref": "andrewkettle/pytorch-segformer-and-sam-on-kindey-1", "kernel_id": "49180962"}, {"ref": "ojimaryoji/sennet-hoa-2nd-place-solution", "kernel_id": "49289911"}, {"ref": "bhavyadhingra00020/clean-code-weighted-ensemble-inference", "kernel_id": "49942976"}, {"ref": "yasinadyaman/tfmodels", "kernel_id": "49152902"}, {"ref": "vinayaktiwari28/easy-to-understand-clean-baseline-code-train", "kernel_id": "49264718"}, {"ref": "mohammad2012191/ensemble-512-768-private-0-55", "kernel_id": "49981591"}, {"ref": "sacuscreed/yes-eda-again-let-s-remove-background", "kernel_id": "49199205"}, {"ref": "sacuscreed/eda-getting-the-core", "kernel_id": "49452141"}, {"ref": "sacuscreed/adapting-2d-smp-pretrained-back-bones-to-3d", "kernel_id": "49417203"}, {"ref": "snorfyang/sennet-hoa-convnext-unet-sub-ensemble", "kernel_id": "49054763"}, {"ref": "tanxxx/2d-tu-gcresnext50ts-inference", "kernel_id": "49514959"}, {"ref": "tanxxx/tu-hrnet-w30-and-effb3-inference", "kernel_id": "49553038"}, {"ref": "tanxxx/inference-se-tugc", "kernel_id": "49679824"}, {"ref": "debankitabasu15/ds5500-project-phase-1", "kernel_id": "49888325"}, {"ref": "aaalexlit/convert-binary-to-coco-to-yolo", "kernel_id": "49081443"}, {"ref": "aaalexlit/prepare-and-train-small-dataset-yolov8", "kernel_id": "49188827"}, {"ref": "aaalexlit/inference-with-yolo-trained-on-small-dataset", "kernel_id": "49211289"}, {"ref": "aaalexlit/kidney-3-dense-to-yolo", "kernel_id": "49307926"}, {"ref": "aaalexlit/train-yolo-on-all-the-data-except-kidney-3-dense", "kernel_id": "49301186"}, {"ref": "aaalexlit/inference-yolo-trained-all-10-epochs-size-1952", "kernel_id": "49333733"}, {"ref": "aaalexlit/kidney-2-to-yolo", "kernel_id": "49284098"}, {"ref": "aaalexlit/kidney-3-sparse-to-yolo", "kernel_id": "49284166"}, {"ref": "aaalexlit/kidney-1-voi-to-yolo", "kernel_id": "49284000"}, {"ref": "aaalexlit/kidney-1-dense-to-yolo", "kernel_id": "49282213"}, {"ref": "aaalexlit/train-yolo-all-the-data-minus-kidney-3-1024", "kernel_id": "49473868"}, {"ref": "aaalexlit/yolo-train-kidney-1-dense-val-kidney-3-dense-1303", "kernel_id": "49622935"}, {"ref": "aaalexlit/yolo-followed-by-sam", "kernel_id": "49867559"}, {"ref": "greedyfornothing/sennet-hoa-preprocessing-images-and-mask", "kernel_id": "49377761"}, {"ref": "noahbittermann/segformer-submission3", "kernel_id": "49118599"}, {"ref": "minhsienweng/infer-ensembles-of-three-models-with-weights", "kernel_id": "49914130"}, {"ref": "perdigao1/train-fastai-unet-multiaxis-mlp-3d", "kernel_id": "49117874"}, {"ref": "cyberian516/testing-the-scoring-system", "kernel_id": "49131105"}, {"ref": "annaselinabaniakina/sennet-hoa", "kernel_id": "49949206"}, {"ref": "nextnlp/40epoch", "kernel_id": "49498623"}, {"ref": "npusrc/training-1024", "kernel_id": "49994476"}, {"ref": "igorkrashenyi/4th-place-solution", "kernel_id": "50600346"}, {"ref": "igorkrashenyi/final-ensemble-of-multiview-2d-and-3d", "kernel_id": "50313017"}, {"ref": "pib73nl/sennet-hoa-bvs-12th-place-solution-train", "kernel_id": "50765306"}, {"ref": "pib73nl/sennet-hoa-bvs-12th-place-solution-infer", "kernel_id": "50773055"}, {"ref": "ivanpan/final-submission", "kernel_id": "50787104"}, {"ref": "pollicio/fast-surface-dice-computation-visualizacion", "kernel_id": "50800644"}, {"ref": "hideyukizushi/hoa-pub-861-private-459", "kernel_id": "50488840"}, {"ref": "clevert/sennet-1st-place-solution", "kernel_id": "50826590"}, {"ref": "clevert/sennet-unet-convnext-3d-rotation", "kernel_id": "50827126"}, {"ref": "lenferdetroud/weighted-ensemble-inference", "kernel_id": "50388102"}, {"ref": "menno1111/sennet-hoa23-2-5d-4-panel-submission", "kernel_id": "50701001"}, {"ref": "menno1111/connected-components-3d", "kernel_id": "50303995"}, {"ref": "abdulkadirguner/fork-of-6liensemble-of-final-061", "kernel_id": "50557576"}, {"ref": "cyrielled/light-submission-preprocessed-in-dataloader", "kernel_id": "50144454"}, {"ref": "forcewithme/sennet-top3-final-submission2", "kernel_id": "50703409"}, {"ref": "forcewithme/sennet-top3-final-submission", "kernel_id": "50584598"}, {"ref": "awxlong/hack-vasculature-transfer-learning-inference", "kernel_id": "50112427"}, {"ref": "sacuscreed/smp-2d-inference-back-to-basics", "kernel_id": "50055212"}, {"ref": "sacuscreed/132th-solution", "kernel_id": "50579240"}, {"ref": "nooneuse/find-why-bug-inference-1024-unet", "kernel_id": "50257861"}, {"ref": "intdivrot/sennet-training", "kernel_id": "50363706"}, {"ref": "intdivrot/sennet-inference", "kernel_id": "50277332"}, {"ref": "greedyfornothing/fork-of-sennet-hoa-train-model", "kernel_id": "50598790"}, {"ref": "greedyfornothing/sennet-hoa-train-model", "kernel_id": "50093889"}, {"ref": "minhsienweng/train-segmentation-mask-model", "kernel_id": "50179950"}, {"ref": "perdigao1/kidney-submission-multiaxis-pytorchsmp-mlp-2drots", "kernel_id": "50527713"}, {"ref": "perdigao1/kidney-submission-multiaxis-pytorchsmp-mlpinterp", "kernel_id": "50474840"}, {"ref": "jtakahashi64/simple-train-and-infer-implement-with-pytorch", "kernel_id": "50042441"}, {"ref": "jayyanamandala/dl-nn-sennet-hoa-resnet-34", "kernel_id": "50476786"}, {"ref": "something4kag/2d-to-3d-unet-cc3d-priv-0-611960", "kernel_id": "51207410"}, {"ref": "kailathan/fpn-training-notebook-for-vascularity-segmentation", "kernel_id": "51283188"}, {"ref": "desolationofsmaug/constructing-human-vasculature-using-deeplabv3", "kernel_id": "51522169"}, {"ref": "zuni8789798/rbhs-baseline-nb", "kernel_id": "52398370"}, {"ref": "samithanawarathna/pytorch-resunet-for-mri-image-segmentation", "kernel_id": "53102783"}, {"ref": "chamaelkasri/blood-vessel-segmentation-train-2-gpus", "kernel_id": "54087947"}, {"ref": "benjaminmah/fpn-training-notebook-for-vascularity-segmentation", "kernel_id": "54141584"}, {"ref": "danajayyad/bloodvesselssegmentationversion1", "kernel_id": "54817476"}, {"ref": "dnvert03/3d-visual-wip", "kernel_id": "57381667"}, {"ref": "sarthakaryan/2d-to-3d-unet-demo", "kernel_id": "58725849"}, {"ref": "hanannjoum/2d-unet-11eeab", "kernel_id": "58463419"}, {"ref": "danajayyad/pretrained-2d", "kernel_id": "58594494"}, {"ref": "danajayyad/2d-unet", "kernel_id": "58365035"}, {"ref": "deeparker/sennet-unet-attention-unet-and-ensemble", "kernel_id": "64751363"}, {"ref": "saidkoussi/human-vasculature3d-with-keras-tensorflow", "kernel_id": "64478962"}, {"ref": "danajayyad/final-experiments-metrics-xai", "kernel_id": "65886039"}, {"ref": "danayyad/experiment2", "kernel_id": "65899272"}, {"ref": "bhattacharyaaditya/ds-cp", "kernel_id": "70812524"}, {"ref": "laiangriscv/kidney-baseline", "kernel_id": "72746499"}, {"ref": "danajayyad/unet-lr-4", "kernel_id": "72706911"}, {"ref": "danajayyad/experiment-7", "kernel_id": "72965973"}, {"ref": "danajayyad/experiment-13", "kernel_id": "73034345"}, {"ref": "nataliecheong/kidney-vessels-segmentation", "kernel_id": "76898576"}, {"ref": "mostafamahmoud3110/labelspreading", "kernel_id": "77072200"}, {"ref": "danaayyad/experiment-7", "kernel_id": "86567441"}, {"ref": "danayyad/experiment-2", "kernel_id": "86871109"}, {"ref": "danayyad/experiment-5", "kernel_id": "86872842"}, {"ref": "danayyad/exp-12", "kernel_id": "86907465"}, {"ref": "danayyad/experiment-8", "kernel_id": "86887861"}, {"ref": "sadmanrahman1391/try-ml-project", "kernel_id": "89921640"}, {"ref": "sadmanrahman1391/ml-project-resnet50", "kernel_id": "90945787"}, {"ref": "nirjon77/notebooke7ee6fa382", "kernel_id": "90953921"}, {"ref": "ahmed1harfoush/hacking-the-human-vasculature-in-3d-u-net-model", "kernel_id": "109029304"}]}
{"competition_id": "61461", "kernels": [{"ref": "ponybiam/ipm3211-ml-tuning-and-feature-engineering", "kernel_id": "44316822"}, {"ref": "mariofrei/ipm3211-base-analysis-and-model-example", "kernel_id": "44221479"}, {"ref": "mariofrei/ipm3211-visualization", "kernel_id": "44240145"}, {"ref": "leezeyuan/ipm3211-project-2-group-3", "kernel_id": "44688537"}, {"ref": "chankathy/minimised-noise-maximised-experience-at-starbucks", "kernel_id": "44748656"}, {"ref": "alvisgwa/g2campus-smart-room-booking-system-unireserve-tech", "kernel_id": "45770098"}, {"ref": "alvisgwa/gp2-ipm3211-base-analysis-and-model-example", "kernel_id": "45472723"}, {"ref": "chenyongzhi/era-singapore-model-for-prospective-flats", "kernel_id": "46516008"}, {"ref": "lioneltiong01/liveable-towns-improving-thermal-noise-comfort", "kernel_id": "46608988"}]}
{"competition_id": "61541", "kernels": []}
{"competition_id": "61542", "kernels": [{"ref": "ryanholbrook/detect-llm-text-efficiency-lb", "kernel_id": "44774959"}, {"ref": "andradaolteanu/llm-gen-text-distilbert-train-text-comparisons", "kernel_id": "44820831"}, {"ref": "x75a40890/ai-generated-text-detection-quick-baseline", "kernel_id": "45854840"}, {"ref": "x75a40890/llmdet-a-llm-generated-text-detection-tool", "kernel_id": "45912608"}, {"ref": "bguberfain/naive-submission-submit", "kernel_id": "45597825"}, {"ref": "bguberfain/naive-submission-train", "kernel_id": "45594897"}, {"ref": "alexia/kerasnlp-starter-notebook-llm-detect-ai-generate", "kernel_id": "45676342"}, {"ref": "deltawi/bert-sequence-classification", "kernel_id": "45911335"}, {"ref": "narsil/find-typos-0-714-lb-in-14-lines-of-code", "kernel_id": "45577797"}, {"ref": "pamin2222/ai-or-not-ai-delving-into-essays-with-eda", "kernel_id": "45587261"}, {"ref": "pamin2222/quick-eda-on-7-prompt-train-dataset-v4", "kernel_id": "45933316"}, {"ref": "pamin2222/plussvc-887-aigenerated-text-detection", "kernel_id": "45985352"}, {"ref": "ianchute/one-magic-feature-no-model-tag-prp", "kernel_id": "45552062"}, {"ref": "yekenot/llm-detect-by-regression-fm-ftrl", "kernel_id": "45432616"}, {"ref": "wuxixixi/test-llm-essays-detect", "kernel_id": "45730466"}, {"ref": "thedrcat/detectai-roberta-large-argugpt-infer", "kernel_id": "45563269"}, {"ref": "thedrcat/detectai-eda", "kernel_id": "45433293"}, {"ref": "thedrcat/detectai-transformers-baseline", "kernel_id": "45433741"}, {"ref": "ubamba98/llm-detect-pip", "kernel_id": "45674754"}, {"ref": "ilyalion/llm-2023-nb-eda", "kernel_id": "45916559"}, {"ref": "awaldeep/first-look-eda-baseline", "kernel_id": "45699269"}, {"ref": "iteachmachines/random-forest-and-xgboost-ensemble", "kernel_id": "45887757"}, {"ref": "prithviraj7387/ai-generated-essay-prediction-eda", "kernel_id": "45595016"}, {"ref": "guidosalimbeni/predicting-essay-generated-with-custom-features", "kernel_id": "45549200"}, {"ref": "talmanr/deep-embedding-model-transfer-learning", "kernel_id": "45528684"}, {"ref": "umar47/detect-ai-eda-tensorflow-0-91", "kernel_id": "45788857"}, {"ref": "hubert101/0-827-countvectorizer-for-begginers", "kernel_id": "45996207"}, {"ref": "jagdmir/essay-classification-kerasnlp-transformer-encoder", "kernel_id": "45792581"}, {"ref": "tianmin/get-to-know-the-dataset-in-60-seconds", "kernel_id": "45458227"}, {"ref": "upesshreya/llm-or-student", "kernel_id": "45880707"}, {"ref": "noured/detect-ai-deberta-pytorch-train-infer", "kernel_id": "45659826"}, {"ref": "stpeteishii/ai-generated-text-torch-roberta", "kernel_id": "45579405"}, {"ref": "stpeteishii/ai-generated-text-countvectorizer-xgb", "kernel_id": "45554428"}, {"ref": "ragajaisanthosh/detect-ai-generated-text", "kernel_id": "45448573"}, {"ref": "kuntalpal/ai-generated-text-eda", "kernel_id": "45953607"}, {"ref": "mpwolke/trick-or-treat-prompt", "kernel_id": "45432581"}, {"ref": "mpwolke/sneaky-llama2-rules", "kernel_id": "45643833"}, {"ref": "mpwolke/alpaca-llm-flan-t5-zero-shot", "kernel_id": "45603034"}, {"ref": "mpwolke/mistral-detecting-ai-llm", "kernel_id": "45500187"}, {"ref": "mpwolke/codellama-from-mp-to-mp", "kernel_id": "45544357"}, {"ref": "alejopaullier/daigt-deberta-text-classification-inference", "kernel_id": "45440138"}, {"ref": "alejopaullier/daigt-deberta-text-classification-train", "kernel_id": "45432228"}, {"ref": "minhtien1405/data-understanding", "kernel_id": "45552564"}, {"ref": "awsaf49/detect-fake-text-kerasnlp-tf-torch-jax-train", "kernel_id": "45472559"}, {"ref": "awsaf49/detect-fake-text-kerasnlp-tf-torch-jax-infer", "kernel_id": "45493093"}, {"ref": "vonewman/starter-notebook-detectai-galsenai", "kernel_id": "45858964"}, {"ref": "carlmcbrideellis/detect-ai-generated-text-xgboost-2-0-starter", "kernel_id": "45791334"}, {"ref": "carlmcbrideellis/llm-make-7-prompt-train-dataset-v4", "kernel_id": "45728108"}, {"ref": "carlmcbrideellis/detect-ai-generated-text-svc-baseline", "kernel_id": "45963064"}, {"ref": "sytuannguyen/ai-generated-text-detector", "kernel_id": "45502395"}, {"ref": "markwijkhuizen/daigt-mistral-7b-tpu-bfloat16-train", "kernel_id": "45935746"}, {"ref": "markwijkhuizen/daigt-mistral-7b-tpu-bfloat16-inference", "kernel_id": "45935798"}, {"ref": "thomasrochefort/0-683-logisticregression-baseline-extradata", "kernel_id": "45435980"}, {"ref": "thomasrochefort/0-701-xgboost-baseline-extra-data-v2", "kernel_id": "45486028"}, {"ref": "lonnieqin/ai-generated-text-detector-with-kerasnlp", "kernel_id": "45462567"}, {"ref": "lonnieqin/ai-generated-text-detection-with-dnn-and-tfidf", "kernel_id": "45958281"}, {"ref": "maxperozek/llama-logits-towards-an-explainable-solution", "kernel_id": "45885017"}, {"ref": "utcarshagrawal/train-detect-authors-eda-pytorch", "kernel_id": "45653468"}, {"ref": "yeoyunsianggeremie/how-to-use-language-tool-python-without-internet", "kernel_id": "45859997"}, {"ref": "thomasmeiner/ai-generated-text-detection-tfidf-sgd", "kernel_id": "45932908"}, {"ref": "thomasmeiner/ai-generated-text-detection-tfidf-sgd-cv-ed", "kernel_id": "45960195"}, {"ref": "pypiahmad/notebook18863db93f", "kernel_id": "45541420"}, {"ref": "hozaifazaki/gpt2-llm-generated-text-detector", "kernel_id": "45911720"}, {"ref": "hozaifazaki/mistral-qlora-inference", "kernel_id": "45912154"}, {"ref": "hozaifazaki/mistral-inference-perplexity", "kernel_id": "45869460"}, {"ref": "hozaifazaki/mistral-inference-perplexity-xgboost", "kernel_id": "45791084"}, {"ref": "kareem87/train-qlora-mistral-for-sequence-classification", "kernel_id": "45862354"}, {"ref": "kareem87/siamese-deberta", "kernel_id": "45918851"}, {"ref": "lordxerxes/random-forest-xgb-lightgbm-sgd", "kernel_id": "45971506"}, {"ref": "hozaifazaki99/gpt2-detector-inference", "kernel_id": "45806643"}, {"ref": "hozaifazaki99/deberta-training", "kernel_id": "45528214"}, {"ref": "hotchpotch/infer-llm-detect-ai-comp-mistral-7b", "kernel_id": "45464783"}, {"ref": "hotchpotch/train-llm-detect-ai-comp-mistral-7b", "kernel_id": "45465752"}, {"ref": "xiaocao123/ai-generated-text-detection-quick-baselin-sgd", "kernel_id": "45909559"}, {"ref": "xiaocao123/ai-generated-text-detection-add-new-data", "kernel_id": "45970266"}, {"ref": "koheiedwardyamada/based-onai-or-not-ai-delving-into-essays-with-eda", "kernel_id": "45743952"}, {"ref": "milantokic/tfidf-and-typo-syllable-length-analysis", "kernel_id": "45978598"}, {"ref": "jocelyndumlao/palm-api-generative-ai", "kernel_id": "45846608"}, {"ref": "jocelyndumlao/autollm-gpt2-ai-generated-text", "kernel_id": "45721923"}, {"ref": "jocelyndumlao/llm-analysis-and-prediction", "kernel_id": "45575389"}, {"ref": "shuvojitdas/llm-detect-by-classification", "kernel_id": "45880907"}, {"ref": "satyaprakashshukl/detect-ai-boost", "kernel_id": "45599948"}, {"ref": "fekihmea/text-generated-svm", "kernel_id": "45988854"}, {"ref": "myncoder0908/inference-longformers-score-improve-0-735-0-823", "kernel_id": "45582396"}, {"ref": "mustafakeser4/eda-moth-s-dataset-detect-ai", "kernel_id": "45434236"}, {"ref": "iqmansingh/llm-detect-ai-text-starter-notebook", "kernel_id": "45508162"}, {"ref": "iqmansingh/detect-ai-text-oof-xgb-lgbm-cat-tf-idf", "kernel_id": "45514513"}, {"ref": "leehann/infer-llm-detect-exp001", "kernel_id": "45513398"}, {"ref": "vidhikishorwaghela/llm-detect-ai-generated-text", "kernel_id": "45526486"}, {"ref": "sunny7712/llm-detect-ai-text-getting-started", "kernel_id": "45942651"}, {"ref": "roshansalunke/llm-ai-detect", "kernel_id": "45507944"}, {"ref": "murugesann/detect-fake-text-kerasnlp-nm-inf", "kernel_id": "45961600"}, {"ref": "yavuzhanbaykara/detect-ai-generated-text-external-datas", "kernel_id": "45451222"}, {"ref": "imnandini/llm-essay-detection", "kernel_id": "45786624"}, {"ref": "hridaym25/interesting-visualizations-and-analytics", "kernel_id": "45527487"}, {"ref": "shadie520/0-805-detectai-simple-baseline", "kernel_id": "45444901"}, {"ref": "mrityunjay110/understanding-to-use-pre-trained-bert-model", "kernel_id": "45795806"}, {"ref": "sb0702/understanding-detect-ai-eda", "kernel_id": "45647919"}, {"ref": "cybersimar08/llm-detect-ai-baseline", "kernel_id": "45605960"}, {"ref": "santiagopedroza/eda-using-embeddings", "kernel_id": "45499493"}, {"ref": "iftekharalammitu/ai-text-detection-with-huggingface-api", "kernel_id": "45651567"}, {"ref": "rsuhara/ai-generated-text-detection-quick-baseline", "kernel_id": "45701490"}, {"ref": "sunilthite/ai-essay-or-not-using-svm", "kernel_id": "45782447"}, {"ref": "sunilthite/llm-detect-ai-generated-text-using-bert", "kernel_id": "45794633"}, {"ref": "sunilthite/llm-detect-ai-generated-text-using-rnn-lstm", "kernel_id": "45787413"}, {"ref": "sunilthite/ai-generated-text-using-bert-roc-pr-curve", "kernel_id": "45804313"}, {"ref": "sunilthite/llm-detect-ai-generated-text", "kernel_id": "45725966"}, {"ref": "sunilthite/llm-detect-ai-generated-text-using-word2vec", "kernel_id": "45876446"}, {"ref": "vujjinisravya/beginner-notebook", "kernel_id": "45754009"}, {"ref": "defdet/deberta-xsmall-training-with-processed-ds", "kernel_id": "45486307"}, {"ref": "defdet/llama-2-13b-on-tpu-training", "kernel_id": "45640284"}, {"ref": "defdet/grammar-correction-detect-ai", "kernel_id": "45587287"}, {"ref": "defdet/create-essays-with-chatgpt-through-api", "kernel_id": "45753727"}, {"ref": "defdet/llama-2-inference-13b", "kernel_id": "45697366"}, {"ref": "andpdas/compare-train-csv-and-chatgpt-generated", "kernel_id": "45743849"}, {"ref": "andpdas/super-short-tik-token", "kernel_id": "45681198"}, {"ref": "andpdas/llm-detect-ai-generated-text", "kernel_id": "45680242"}, {"ref": "rui314/anti-chatgpt", "kernel_id": "45611929"}, {"ref": "yunsuxiaozi/detect-generated-text-baseline", "kernel_id": "45441307"}, {"ref": "yunsuxiaozi/study-note-llm-detect-ai-text", "kernel_id": "45722825"}, {"ref": "rsbuvan/daigt-deberta-train", "kernel_id": "45450442"}, {"ref": "rsbuvan/daigt-deberta-train1", "kernel_id": "45451962"}, {"ref": "saurabhru/llm-detect-ai-generated-text", "kernel_id": "45492973"}, {"ref": "kingki19/fix-imbalance-data-using-generated-essay-by-palm", "kernel_id": "45875536"}, {"ref": "tlisted/my-notebook-llm-detect-baseline", "kernel_id": "45474075"}, {"ref": "luficergfree/ai-detector-with-tf-keras", "kernel_id": "45666718"}, {"ref": "nithya2025/sneaky-llama2-rules", "kernel_id": "45848679"}, {"ref": "gowthamrajgoku/llm-detect-ai-generated-text-1-0-eda", "kernel_id": "45965345"}, {"ref": "gowthamrajgoku/llm-detect-ai-generated-text", "kernel_id": "45780183"}, {"ref": "ilankhirin/gltr-paper-implementation-detecting-llm-gen-text", "kernel_id": "45702869"}, {"ref": "giabchnguyn/detect-ai-generated-text-with-scikit-learn", "kernel_id": "45597726"}, {"ref": "eurekaforward/detectai-transformers-baseline", "kernel_id": "45624956"}, {"ref": "gshbao123/notebook1769542190", "kernel_id": "45929027"}, {"ref": "jiayangzhan/ai-llm", "kernel_id": "45704310"}, {"ref": "hajarhisham/llama-for-sequence-classification", "kernel_id": "45850485"}, {"ref": "susishengg/llm-7-prompt-train-dataset", "kernel_id": "45966171"}, {"ref": "fuuaad/ai-generated-text-detection-quick-baselin-bc5607", "kernel_id": "45925148"}, {"ref": "dipayancodes/llm-essay-detection", "kernel_id": "45701727"}, {"ref": "mohamedmoustache/chall", "kernel_id": "45680629"}, {"ref": "cofladl0908/notebook5517d6f590", "kernel_id": "45717812"}, {"ref": "susangrapes/detect-ai-generated", "kernel_id": "45884036"}, {"ref": "phanisrikanth/daigt-cluster-explore-7-prompts-dataset", "kernel_id": "46711281"}, {"ref": "phanisrikanth/generate-synthetic-essays-with-mistral-7b-instruct", "kernel_id": "46405861"}, {"ref": "phanisrikanth/daigt-readability-features-for-classification", "kernel_id": "46743201"}, {"ref": "deltawi/pytorch-lightning-distilbert-classifier", "kernel_id": "46445279"}, {"ref": "nahman/0-908-don-t-try-this-at-home", "kernel_id": "46348203"}, {"ref": "sorokin/persuade", "kernel_id": "46021882"}, {"ref": "sorokin/noise-essays", "kernel_id": "46022294"}, {"ref": "sorokin/essay-gec", "kernel_id": "46754350"}, {"ref": "sorokin/llm-detect-ai-gt-sub-gec", "kernel_id": "46883448"}, {"ref": "pamin2222/dnn-and-tfidf-fit-only-on-train-0-923", "kernel_id": "46481989"}, {"ref": "pamin2222/mod-weight-0-897-ai-generated-text-detection-qb", "kernel_id": "46016169"}, {"ref": "pamin2222/upsampling-use7pv3-votingclf-alldata-modweight-0-9", "kernel_id": "46223275"}, {"ref": "pamin2222/votingclf-alldata-modweight-0-899", "kernel_id": "46162910"}, {"ref": "pamin2222/dagt-gzip-text-clf-a-parameter-free-clf", "kernel_id": "46789612"}, {"ref": "xpehutta/generate-text-gru-tensorflow-nn", "kernel_id": "46913126"}, {"ref": "tivfrvqhs5/just-because", "kernel_id": "46059982"}, {"ref": "tivfrvqhs5/20-feature-xgboost", "kernel_id": "46086924"}, {"ref": "plarmuseau/find-lorenz-bias", "kernel_id": "46173954"}, {"ref": "ktoprakucar/pytorch-based-llm-model", "kernel_id": "46989183"}, {"ref": "thedrcat/predict-with-daigt-v3-train-dataset", "kernel_id": "46276213"}, {"ref": "awaldeep/text-preprocessing-oversampling-baseline-sub", "kernel_id": "46125156"}, {"ref": "guochangzhang/ai-generated-text-detection-quick-baselin-f6d640", "kernel_id": "46006613"}, {"ref": "hubert101/0-815-word2vec-for-begginers", "kernel_id": "46021348"}, {"ref": "hubert101/0-863-tfidfvectorizer-for-begginers", "kernel_id": "46002165"}, {"ref": "hubert101/0-960-phrases-are-keys", "kernel_id": "46549934"}, {"ref": "jagdmir/n-gram-cnn-model", "kernel_id": "46633717"}, {"ref": "phucpx/0-937-aidetector-remove-special-character-in-llm", "kernel_id": "46582093"}, {"ref": "bestpredict/llmd-deberta-base-ft-v1", "kernel_id": "46959642"}, {"ref": "stpeteishii/ai-generated-text-countvectorizer-lgbm", "kernel_id": "46895924"}, {"ref": "stpeteishii/ai-generated-text-countvectorizer-randomforest", "kernel_id": "46896162"}, {"ref": "ravindra1010/naive-bayes", "kernel_id": "46824936"}, {"ref": "oguzhansahin/daigt-deberta-text-classification-train", "kernel_id": "46000714"}, {"ref": "mpwolke/2-chatglm2", "kernel_id": "46759614"}, {"ref": "shrinidhi9/detect-ai-generated-text-train-torch-distilbert", "kernel_id": "46063982"}, {"ref": "minhtien1405/correcting-typo-experiment-0-9", "kernel_id": "46470815"}, {"ref": "nbroad/persuade-train-essays-analysis", "kernel_id": "46260411"}, {"ref": "chenbaoying/0-938-aigtextdetection-3sgd-3mnb", "kernel_id": "46121759"}, {"ref": "aleron751/dagi-gptpp", "kernel_id": "46390592"}, {"ref": "lonnieqin/ai-generated-text-detection-with-mlpclassifier", "kernel_id": "46640143"}, {"ref": "blohorn/ai-or-academia-unraveling-text-origins-with-disti", "kernel_id": "46929462"}, {"ref": "scr0ll0/modeling-with-validation", "kernel_id": "46515465"}, {"ref": "scr0ll0/exploratory-data-analysis", "kernel_id": "46264284"}, {"ref": "scr0ll0/modeling-submission", "kernel_id": "46937742"}, {"ref": "nanthiphatsangworn/multinomial-naive-baye", "kernel_id": "46232388"}, {"ref": "lovemaid/1mnb-1sgd", "kernel_id": "46781707"}, {"ref": "mayakaripel/notebookbe71f3d92e", "kernel_id": "46966453"}, {"ref": "jdragonxherrera/using-the-augmented-data", "kernel_id": "46565413"}, {"ref": "rishabh0517/llm-detect-0-801-using-bidirectional-nn", "kernel_id": "46914529"}, {"ref": "vladislavkolesov/llm-text-detection-deberta-train", "kernel_id": "46806912"}, {"ref": "stefanoclss/top-private-solution-0-864-0-975-public", "kernel_id": "46530698"}, {"ref": "hozaifazaki99/ai-generated-text-mod-weight-add-more-data-0-928", "kernel_id": "46508003"}, {"ref": "hozaifazaki99/inference-on-mistral-7b-v02", "kernel_id": "46677582"}, {"ref": "hozaifazaki99/infer-llm-detect-exp001", "kernel_id": "46096431"}, {"ref": "rkr2020/ai-text-detection-eda", "kernel_id": "46198264"}, {"ref": "fathimashemeema/llm-detect-ai-generated-text", "kernel_id": "46965856"}, {"ref": "mullerf/use-typo-number-to-predict", "kernel_id": "46430212"}, {"ref": "arwani/pytorch-rnn", "kernel_id": "46434561"}, {"ref": "soranoki/notebookc709586748", "kernel_id": "46433631"}, {"ref": "sonu2252/llm-vs-student", "kernel_id": "46706720"}, {"ref": "wksdnr123/ver-detect-fake-text-kerasnlp", "kernel_id": "46792098"}, {"ref": "gabrielbuchhorn/latent-dirichlet-allocation-pandas", "kernel_id": "46872707"}, {"ref": "pamilovedl/ai-generated-text-detection-quick-baseline-0", "kernel_id": "46276198"}, {"ref": "hrhuynguyen/llm-detect-ai-generated-prediction", "kernel_id": "46431157"}, {"ref": "satyaprakashshukl/eda-llm-detect-ai-text-wip", "kernel_id": "46315931"}, {"ref": "muhammadtayyab212/getting-started-withxgboost", "kernel_id": "46243241"}, {"ref": "mohamedlotfy50/fix-data-grammar", "kernel_id": "46510633"}, {"ref": "farisalahmdi/ai-text-detection-competition", "kernel_id": "46019015"}, {"ref": "farisalahmdi/ai-text-generated-detection-baseline-0-933-lb", "kernel_id": "46551042"}, {"ref": "shiyuandong/detect-llm-text-by-multfeature", "kernel_id": "46286766"}, {"ref": "fekihmea/fork-of-text-generated-svm", "kernel_id": "46737817"}, {"ref": "fekihmea/ai-texts-generated-using-gpt2", "kernel_id": "46803087"}, {"ref": "parthbagda/detect-al-generated-text", "kernel_id": "46600432"}, {"ref": "suraj520/multiple-approaches-basics-to-advanced", "kernel_id": "46623464"}, {"ref": "msarvesh/llm-generated-text-detection", "kernel_id": "46130923"}, {"ref": "pranshubahadur/detect-llm-generated-essays-using-retention", "kernel_id": "46228749"}, {"ref": "siddhvr/llm-detect-ai-gt-sub", "kernel_id": "46180643"}, {"ref": "andrusha95/ai-gtd-weight-lr-sgd-rf", "kernel_id": "46078101"}, {"ref": "ilhansevval/exploring-ensemble-learning-with-voting-classifier", "kernel_id": "46181719"}, {"ref": "ilhansevval/ensemble-learning-with-voting-classifier-3", "kernel_id": "46613658"}, {"ref": "ilhansevval/ensemble-learning-with-voting-classifier-2", "kernel_id": "46471615"}, {"ref": "ilhansevval/ensemble-learning-with-voting-classifier-5", "kernel_id": "46813350"}, {"ref": "ilhansevval/ensemble-learning-with-voting-classifier-4", "kernel_id": "46731443"}, {"ref": "aljapotonik/datasets-eda", "kernel_id": "46877893"}, {"ref": "ponderpiece/we-detecting-now", "kernel_id": "46006793"}, {"ref": "ponderpiece/cnn-with-attention-for-ai-text-detection", "kernel_id": "46226519"}, {"ref": "murugesann/nm-llm-detect-ai-text-correcttypo-1", "kernel_id": "46390048"}, {"ref": "murugesann/nm-llm-ai-detect-training-with-typos", "kernel_id": "46663879"}, {"ref": "murugesann/daigt-v2-train-dataset-with-typos", "kernel_id": "46651584"}, {"ref": "murugesann/nm-llm-ai-detection-withtypos-cv", "kernel_id": "46626652"}, {"ref": "murugesann/nm-llm-detect-ai-typocorrect-testdata-pyspell-2", "kernel_id": "46566357"}, {"ref": "murugesann/nm-llm-ai-detection-sgd-dnn-1", "kernel_id": "46543006"}, {"ref": "murugesann/detect-ai-generated-features-1", "kernel_id": "46081150"}, {"ref": "murugesann/nm-llm-ai-detect-dataset-5", "kernel_id": "46919440"}, {"ref": "murugesann/nm-llm-ai-detect-correctingtypos", "kernel_id": "46953066"}, {"ref": "robber19/mistral-test", "kernel_id": "46333308"}, {"ref": "robber19/mistral-train-experiment", "kernel_id": "46229165"}, {"ref": "robber19/mistral-ft", "kernel_id": "46149703"}, {"ref": "bulivington/dagi-group-cv-dacc68", "kernel_id": "46354387"}, {"ref": "yavuzhanbaykara/llm-detect-ai-gt-lb-0-931", "kernel_id": "46505955"}, {"ref": "yavuzhanbaykara/text-analysis-with-tf-idf-uncovering-unique-words", "kernel_id": "46731524"}, {"ref": "tmleyncodes/llm-dectect-ai-generated-text", "kernel_id": "46515160"}, {"ref": "lizhecheng/balanced-weights-longer-training-higher-score", "kernel_id": "46716648"}, {"ref": "humbleyll/llm-detect-ai-generated-text-humbleyl", "kernel_id": "46559246"}, {"ref": "humbleyll/llm-detect-ai-generated-text-bert-vit", "kernel_id": "46453172"}, {"ref": "vaishakhraveendran/malayalam-llm", "kernel_id": "46017241"}, {"ref": "jyoti404/llm-detect-ai-generated", "kernel_id": "46460395"}, {"ref": "janderchu/roberta-det", "kernel_id": "46681463"}, {"ref": "sunilthite/llm-detect-ai-generated-text-tfidf", "kernel_id": "46281440"}, {"ref": "sunilthite/llm-detect-ai-generated-text-bert-l-12-h-768", "kernel_id": "46228883"}, {"ref": "sunilthite/detect-ai-generated-text-votingclassifier", "kernel_id": "46167136"}, {"ref": "atiebr/llm-detect-ai-generated-text", "kernel_id": "46024323"}, {"ref": "simonveitner/llama-cpp00", "kernel_id": "46916757"}, {"ref": "hariharanalm/llm-generated-or-not", "kernel_id": "46691484"}, {"ref": "barinoffn/logreg-dummy", "kernel_id": "46569181"}, {"ref": "defdet/jax-llama-essay-generation", "kernel_id": "46860192"}, {"ref": "yongsukprasertsuk/0-941-llm-detect-ai-gt-1mnb-1sgd", "kernel_id": "46633591"}, {"ref": "yongsukprasertsuk/ai-generated-text-mod-weight-add-more-data-0-929", "kernel_id": "46011979"}, {"ref": "kanishk026/simple-roberta-tf", "kernel_id": "46259374"}, {"ref": "cristhianccalah/tf-rnn-llm-detect-ai-generated-text", "kernel_id": "46164983"}, {"ref": "c4nter/nm-llm-detect-ai-text-typo-correct-with-testdata", "kernel_id": "46818665"}, {"ref": "evanupham/transformer-classifier", "kernel_id": "46576235"}, {"ref": "jacoballessio/transformers-based-llm-detect", "kernel_id": "46940566"}, {"ref": "yutarohori/ai-generated-text-detection-quick-baseline", "kernel_id": "46545012"}, {"ref": "junglebeastds/llm-make-5-prompt-train-dataset-v4", "kernel_id": "46328857"}, {"ref": "junglebeastds/public-model", "kernel_id": "46428523"}, {"ref": "donghunlim/newstart-llm-detect-ai-gt-sub", "kernel_id": "46664843"}, {"ref": "donghunlim/newstart3-dnn-and-tfidf-and-sc-for-df", "kernel_id": "46539425"}, {"ref": "bhanupratapbiswas/ai-generated-text-llm", "kernel_id": "46440751"}, {"ref": "bhanupratapbiswas/detect-ai-gt-sub", "kernel_id": "46421132"}, {"ref": "bhanupratapbiswas/llm-detect-ai-generated-text-02", "kernel_id": "46740927"}, {"ref": "bhanupratapbiswas/llm-detect-ai-generated-text-3", "kernel_id": "46791176"}, {"ref": "newtonbaba12345/using-confidence-to-determine-the-weights", "kernel_id": "46064313"}, {"ref": "newtonbaba12345/exploratory-data-analysis", "kernel_id": "46146865"}, {"ref": "nyl0522/distill-bert", "kernel_id": "46742370"}, {"ref": "nyl0522/ensemble-bert-lora", "kernel_id": "46901772"}, {"ref": "sayedshaun/voting-model", "kernel_id": "46031296"}, {"ref": "sjorslockhorst/ai-text-detection-fine-tuned-roberta", "kernel_id": "46639219"}, {"ref": "vineetjhaa03/detect-llm-generated-essays-using-retention", "kernel_id": "46912477"}, {"ref": "vaibhavnakrani/comprehensive-evaluation-of-pos-tags", "kernel_id": "46669607"}, {"ref": "gowthamrajgoku/llm-detect-ai-generated-texts-3-0", "kernel_id": "46125223"}, {"ref": "yoolimhan/notebook7309ae766b", "kernel_id": "46391151"}, {"ref": "yoolimhan/daigt-mistral-7b-tpu-bfloat16-inference", "kernel_id": "46864434"}, {"ref": "juzehao/pytorch-dnn-e010c9", "kernel_id": "46620193"}, {"ref": "dhattori/llmstudy", "kernel_id": "46022238"}, {"ref": "rachanabv14/llm-detect-ai-generated-text-for-beginners", "kernel_id": "46407527"}, {"ref": "vincenthodgins/hodgins-llm-testset", "kernel_id": "46664020"}, {"ref": "vincenthodgins/hodgins-llm", "kernel_id": "46663213"}, {"ref": "br0grammer/llm-text-classifier-pytorch-mlp", "kernel_id": "46212033"}, {"ref": "malabhbakshi/starter-notebook", "kernel_id": "46735428"}, {"ref": "hajarhisham/notebook58ef567f02", "kernel_id": "46246488"}, {"ref": "hajarhisham/0-908-don-t-try-this-at-home", "kernel_id": "46499923"}, {"ref": "hajarhisham/deberta-inference", "kernel_id": "46904624"}, {"ref": "hajarhisham/absafos45455d", "kernel_id": "46990318"}, {"ref": "nourelhwaryy/ml-tfidf-sgd", "kernel_id": "46979292"}, {"ref": "nourelhwaryy/deberta-training-max-len-512", "kernel_id": "46909342"}, {"ref": "nourelhwaryy/deberta-inference", "kernel_id": "46908126"}, {"ref": "nourelhwaryy/deberta-training-6053d3", "kernel_id": "46565569"}, {"ref": "nourelhwaryy/notebook58ef567f02", "kernel_id": "46524886"}, {"ref": "nourelhwaryy/deberta-lang-understand", "kernel_id": "46239837"}, {"ref": "nourelhwaryy/mistral-inference", "kernel_id": "46122087"}, {"ref": "nourelhwaryy/train-deberta", "kernel_id": "46068903"}, {"ref": "nourelhwaryy/notebook5f575d2908", "kernel_id": "46066275"}, {"ref": "jenilgajjar/llm-detect-ai-generated-text-using-multinomial", "kernel_id": "46766442"}, {"ref": "hrithiman/notebookc547b33cac", "kernel_id": "46738935"}, {"ref": "minhsienweng/tpu-train-mistral-7b-deberta-v3-detection", "kernel_id": "46653553"}, {"ref": "ekuras/llm-svm-model-with-average-sentence-length", "kernel_id": "46718247"}, {"ref": "ahmedmagdyhosney/llm-competition-using-random-forest", "kernel_id": "46948805"}, {"ref": "hirakuhasegawa/tf-idf", "kernel_id": "46990549"}, {"ref": "kokishirasawa/detectllm-1128", "kernel_id": "46986921"}, {"ref": "furqan676/notebookb2c3954d9f", "kernel_id": "46216391"}, {"ref": "rakeshsharma02/llm-detect-ai", "kernel_id": "46355020"}, {"ref": "kevinbnisch/nlp-analysis-of-llms-students-essays", "kernel_id": "46020313"}, {"ref": "sakurakinomoto/notebook5873e96c8f", "kernel_id": "46519799"}, {"ref": "tonyyunyang99/llm-detect-ai-generated-text-cpu", "kernel_id": "46587323"}, {"ref": "tonyyunyang99/llm-detect-ai-generated-text-cpu-semi", "kernel_id": "46568108"}, {"ref": "tonyyunyang99/how-to-use-a-tokenizer", "kernel_id": "46633055"}, {"ref": "tonyyunyang99/llm-detect-ai-generated-text-quick-baseline", "kernel_id": "46154232"}, {"ref": "al1337/experiment-using-x-test", "kernel_id": "46346038"}, {"ref": "al1337/tfidfvec-1-6-fixspelling-sgdclassifier", "kernel_id": "46583995"}, {"ref": "al1337/feature-engineering-from-subset-decisio", "kernel_id": "46288485"}, {"ref": "al1337/countvectorizer-feature-importances", "kernel_id": "46262225"}, {"ref": "al1337/create-x-write-to-disk-to-disk-create-add-data", "kernel_id": "46296899"}, {"ref": "al1337/tfidfvectorizer-votingclassifier", "kernel_id": "46298063"}, {"ref": "al1337/drcat-02-tfidfvectorizer", "kernel_id": "46303515"}, {"ref": "al1337/countvec-1-4-mulnb-vec-fit-x-test", "kernel_id": "46310381"}, {"ref": "al1337/feature-log-prob-tfidfvectorizer-multinomialnb", "kernel_id": "46321000"}, {"ref": "al1337/0-838-ridgeclf-svd-9-countvec", "kernel_id": "46088475"}, {"ref": "al1337/0-863-83-7s-tfidfvec-ngram-range-1-1-votingclf", "kernel_id": "46148725"}, {"ref": "al1337/countvectorizer-multinomialnb", "kernel_id": "46979607"}, {"ref": "yothinsaengs/kaggle-eda", "kernel_id": "46411458"}, {"ref": "jaimielouie/xgboost", "kernel_id": "46952678"}, {"ref": "mrgarlic/without-grammer-correction", "kernel_id": "46296709"}, {"ref": "yoojiinn/notebook06c0ce7d67", "kernel_id": "46331888"}, {"ref": "deepsh2207/notebook25112023", "kernel_id": "46802554"}, {"ref": "deepsh2207/notebook18112023", "kernel_id": "46407889"}, {"ref": "munkhtur38/sgd-shiro2", "kernel_id": "46900841"}, {"ref": "grafael/skorch-bnn-bpe", "kernel_id": "47265280"}, {"ref": "okadarowout/bert-gan-detect-ai-generated-text", "kernel_id": "47696007"}, {"ref": "finlay/llm-detect-0-to-1", "kernel_id": "47444272"}, {"ref": "finlay/llm-detect-text-cluster", "kernel_id": "47814595"}, {"ref": "finlay/llm-detect-external-data-collection", "kernel_id": "47819039"}, {"ref": "sdlee94/llm-p-tuning-starter-hyperparam-tuning", "kernel_id": "47606346"}, {"ref": "verracodeguacas/sentencepiece-constructions", "kernel_id": "47125558"}, {"ref": "shrutimechlearn/just-length", "kernel_id": "47865369"}, {"ref": "ianchute/llm-19-magic-features", "kernel_id": "47538096"}, {"ref": "carrot1500/predicting-ai-generation-with-lm-score-features", "kernel_id": "47746287"}, {"ref": "carrot1500/distilbertclassifier-from-scratch-with", "kernel_id": "47893903"}, {"ref": "xyzdivergence/efficiency-lb-1st-place-solution", "kernel_id": "47196299"}, {"ref": "zhangyue199/meta-classifier", "kernel_id": "47295974"}, {"ref": "serjhenrique/daigt-stylometric-voting-clf", "kernel_id": "47720260"}, {"ref": "tailen/daigt-deberta", "kernel_id": "47827541"}, {"ref": "stopwhispering/compare-persuade-w-train-reproduce-transform", "kernel_id": "47849560"}, {"ref": "stopwhispering/llm-student-n-gram-feature-importance", "kernel_id": "47721018"}, {"ref": "zakirkhanaleemi/detecting-fake-text-infer-nlp", "kernel_id": "47765732"}, {"ref": "ubamba98/private-score-0-984-single-llm", "kernel_id": "47935325"}, {"ref": "vbmokin/llm-20-feature-xgboost-after-deobfuscation", "kernel_id": "47557490"}, {"ref": "shhrkre/llm-daigt-cv-0-9983-lb-0-960-67a7be", "kernel_id": "47334788"}, {"ref": "conjuring92/llm-detect-pip-rb", "kernel_id": "47686691"}, {"ref": "batprem/llm-daigt-analyse-edge-cases", "kernel_id": "47991151"}, {"ref": "batprem/llm-daigt-cv-0-9983-lb-0-960", "kernel_id": "47208993"}, {"ref": "batprem/llm-daigt-validation", "kernel_id": "47254877"}, {"ref": "batprem/daigt-submission-mocked-up", "kernel_id": "47251195"}, {"ref": "fengshaodi/detect-ai-generated-text", "kernel_id": "47883637"}, {"ref": "stpeteishii/ai-generated-albert-xlarge-w-ext-split", "kernel_id": "47634953"}, {"ref": "stpeteishii/ai-generated-roberta-large-w-ext-split", "kernel_id": "47794215"}, {"ref": "stpeteishii/ai-generated-bart-large-w-ext-split", "kernel_id": "47795415"}, {"ref": "stpeteishii/ai-generated-flan-t-5-w-ext-split", "kernel_id": "47756615"}, {"ref": "stpeteishii/ai-generated-distilbert-w-ext-split", "kernel_id": "47731920"}, {"ref": "stpeteishii/ai-generated-deberta-large-w-ext-split", "kernel_id": "47720755"}, {"ref": "gali1eo/3rd-place-efficiency-solution-v69", "kernel_id": "47564265"}, {"ref": "hemanthkj/ai-generated-text-detection-quick-baseline", "kernel_id": "47257452"}, {"ref": "nidhipriya123/chexk", "kernel_id": "47394278"}, {"ref": "aleron751/dagi-fasttext", "kernel_id": "47335217"}, {"ref": "shaunshibu/ai-gen-text-ident-multiple-model-training-shaun", "kernel_id": "47060623"}, {"ref": "ericliu365/detect-llm-written-essay", "kernel_id": "47070600"}, {"ref": "csmimrankhan/llm-daigt-sub-8ae3af", "kernel_id": "47272478"}, {"ref": "manishkumar77/generate-synthetic-essays-with-mistral-7b-instruct", "kernel_id": "47339314"}, {"ref": "lonnieqin/ai-generated-text-detection-with-distilbert", "kernel_id": "47925886"}, {"ref": "datafan07/train-your-own-tokenizer", "kernel_id": "47088132"}, {"ref": "datafan07/use-gemini-to-create-student-essays", "kernel_id": "47824748"}, {"ref": "heiswicked/bce-discrim-train", "kernel_id": "47330535"}, {"ref": "heiswicked/gan-discrim-train", "kernel_id": "47443781"}, {"ref": "nursentore/notebook21bcf0aa67", "kernel_id": "47206959"}, {"ref": "dhruvapradhan/dvsaicatcher", "kernel_id": "47255069"}, {"ref": "hsinhungwu/two-stages-prompt-prediction-custom-models", "kernel_id": "47903625"}, {"ref": "burakyener/notebookf77ea9241a", "kernel_id": "47241746"}, {"ref": "arindamroy23/testing-pipeline", "kernel_id": "47681413"}, {"ref": "arindamroy23/text-eda", "kernel_id": "47447703"}, {"ref": "mayakaripel/notebooka2e6a97d37", "kernel_id": "47353999"}, {"ref": "mayakaripel/notebook54448e2e8b", "kernel_id": "47287952"}, {"ref": "kirtankanani/syde-599", "kernel_id": "47032010"}, {"ref": "oortcloudk/sp-am-bw-001", "kernel_id": "47755976"}, {"ref": "lookb4uplay/nj-ai-classification", "kernel_id": "47607422"}, {"ref": "saihemanth14/llm-detect-ai-generated-text", "kernel_id": "47268397"}, {"ref": "kareem87/drafagae425852", "kernel_id": "47453181"}, {"ref": "kareem87/tfidf-sgd-inference", "kernel_id": "47451343"}, {"ref": "kareem87/draft-notebook159459156151", "kernel_id": "47602284"}, {"ref": "kareem87/notebook25f18db445", "kernel_id": "47254909"}, {"ref": "kareem87/split-essays-to-sections", "kernel_id": "47350300"}, {"ref": "kareem87/generate-synthetic-essays-with-mistral-7b-instruct", "kernel_id": "47283421"}, {"ref": "hozaifazaki99/use-gemini-to-create-student-essays-7ae450", "kernel_id": "47973965"}, {"ref": "hozaifazaki99/roberta-triplet-classifier-submission", "kernel_id": "47823628"}, {"ref": "hozaifazaki99/1949498kmlkm", "kernel_id": "47462838"}, {"ref": "hozaifazaki99/geval-mistral", "kernel_id": "47394706"}, {"ref": "hozaifazaki99/llm-daigt-cv-0-9983-lb-0-960", "kernel_id": "47345218"}, {"ref": "mohdrafi/detect-ai-generated-text", "kernel_id": "47011546"}, {"ref": "adriansaati/llm-detection", "kernel_id": "47416058"}, {"ref": "xiaocao123/0-960-llm-daigt-sub-mod-weights", "kernel_id": "47352743"}, {"ref": "xiaocao123/train-your-own-tokenizer", "kernel_id": "47092478"}, {"ref": "xiaocao123/lb0-957", "kernel_id": "47229767"}, {"ref": "xiaocao123/sentencepiece-constructions-406b87", "kernel_id": "47184310"}, {"ref": "konstantinboyko/separate-voting-for-different-models", "kernel_id": "47941596"}, {"ref": "kevinvonkampl/llm-with-tokenizers", "kernel_id": "47149492"}, {"ref": "shaikikozashvili/distilbert-base-notebook", "kernel_id": "47793129"}, {"ref": "namuvn/cs221-o11-deberta-v3-base-en", "kernel_id": "47273777"}, {"ref": "denisding/sentencepiece-constructions", "kernel_id": "47660909"}, {"ref": "mohamedlotfy50/train-roberta-triplet-classifier", "kernel_id": "47769901"}, {"ref": "mohamedlotfy50/mixture-of-experts-models-submission", "kernel_id": "47840455"}, {"ref": "mohamedlotfy50/mixture-of-experts-models", "kernel_id": "47840324"}, {"ref": "rafaelbaez/ml-finalproject-rafaelbaez", "kernel_id": "47055384"}, {"ref": "amulil/llm-daigt-preprocessing-bypass-catboost-added", "kernel_id": "47238057"}, {"ref": "kyriakitychola/my-code-kerasnlp-llm-detect-ai-generate", "kernel_id": "47393044"}, {"ref": "kyriakitychola/detect-ai-deberta-pytorch-train-infer", "kernel_id": "47397511"}, {"ref": "kyriakitychola/my-code-l-or-not-essays", "kernel_id": "47401497"}, {"ref": "kyriakitychola/generate-synthetic-essays-with-mistral-7b-i-11a9e5", "kernel_id": "47421431"}, {"ref": "kyriakitychola/tensorflow-nn-generate-essays", "kernel_id": "47418674"}, {"ref": "vojtchslavk/tf-idf-detect-ai", "kernel_id": "47974817"}, {"ref": "vojtchslavk/detect-ai-llm-inference", "kernel_id": "47638671"}, {"ref": "vojtchslavk/detect-ai-llm-train", "kernel_id": "47445670"}, {"ref": "divyapatel4/jax-llama-essay-tester", "kernel_id": "47997228"}, {"ref": "pranshubahadur/llm-generate-hq-dataset-w-mistral-rag", "kernel_id": "47395328"}, {"ref": "adityamac/bert-fine-tuning-to-detect-llm-generated-text", "kernel_id": "47399613"}, {"ref": "siddhvr/llm-daigt-sub", "kernel_id": "47162618"}, {"ref": "shuvendumoharana/ai-generated-text-prediction", "kernel_id": "47391399"}, {"ref": "muhannadmansour/llm-detect-text-mistral", "kernel_id": "47119412"}, {"ref": "ilhansevval/ensemble-voting-classifier-with-pretokenizer", "kernel_id": "47135769"}, {"ref": "ilhansevval/llm-preprocessing-catboost", "kernel_id": "47283283"}, {"ref": "danfazzi/sample-submission", "kernel_id": "47361697"}, {"ref": "murugesann/skorchbnn-1-with-test-data", "kernel_id": "47383812"}, {"ref": "murugesann/nm-llm-ai-detect-metricmodel-inf", "kernel_id": "47298469"}, {"ref": "murugesann/nm-llm-ai-detect-metricmodel-2", "kernel_id": "47329349"}, {"ref": "murugesann/nm-llm-ai-datasey-6", "kernel_id": "47113225"}, {"ref": "murugesann/nm-llm-ai-detect-vectorizer-model", "kernel_id": "47010196"}, {"ref": "murugesann/nm-llm-ai-detect-metricmodel", "kernel_id": "47043976"}, {"ref": "kenny3s/codeformer", "kernel_id": "47955505"}, {"ref": "bulivington/dagi-fasttext", "kernel_id": "47339573"}, {"ref": "bulivington/dagi-gptpp", "kernel_id": "47091821"}, {"ref": "anthonynam/lora-fine-tuning-with-distilbert-7-prompts-v4", "kernel_id": "47686020"}, {"ref": "huihuihui12/dl-detect-tensorflow", "kernel_id": "47495578"}, {"ref": "s00980/llm-detect-ai-generated-text", "kernel_id": "47995923"}, {"ref": "imnandini/llm-detect-ai-generated-essays", "kernel_id": "47034688"}, {"ref": "hridaym25/voting-classifier-lr-sgd-xgboost", "kernel_id": "47160654"}, {"ref": "nurfarahfauziah/finalproject-ml", "kernel_id": "47855659"}, {"ref": "alinacram/torchtext-classification-inprocess", "kernel_id": "47874295"}, {"ref": "alinacram/generate-essays-llama2", "kernel_id": "47352975"}, {"ref": "ankitvarshney02/ai-generated-text-detection-bert", "kernel_id": "47844198"}, {"ref": "suyashkapil/detecting-llm-generated-texts", "kernel_id": "47979073"}, {"ref": "jamalcao/detect-ai-generated-essays", "kernel_id": "47228344"}, {"ref": "jamalcao/ai-detect", "kernel_id": "47533357"}, {"ref": "sasidharanm10/llm-tf-idf-vectorization", "kernel_id": "47518677"}, {"ref": "sasidharanm10/detect-ai-generated-text-with-conv", "kernel_id": "47470724"}, {"ref": "sasidharanm10/llm-detect-ai-generated-text", "kernel_id": "47451862"}, {"ref": "yassinabdulmahdi/simple-eda", "kernel_id": "47398092"}, {"ref": "pshikk/conv1d-approach", "kernel_id": "47297298"}, {"ref": "pshikk/bi-lstm-approach", "kernel_id": "47109854"}, {"ref": "defdet/mistral-essay-generation", "kernel_id": "47855886"}, {"ref": "kazumaishii/lightgbm-firstsubmission", "kernel_id": "47381724"}, {"ref": "yongsukprasertsuk/train-your-own-tokenizer-mod-weights", "kernel_id": "47098478"}, {"ref": "yongsukprasertsuk/0-956-llm-daigt-sub-mod-weights", "kernel_id": "47180955"}, {"ref": "yongsukprasertsuk/0-960-llm-daigt-sub-mod-weights", "kernel_id": "47271883"}, {"ref": "yongsukprasertsuk/llm-daigtext-0-961", "kernel_id": "47952574"}, {"ref": "dafaaqilla/bert-llm-detection", "kernel_id": "47964906"}, {"ref": "haseebwar07/detect-ai-generated-text-xgbclassifier", "kernel_id": "47167041"}, {"ref": "jdonnelly0804/return-overflowing-tokens", "kernel_id": "47433128"}, {"ref": "scottnewcomer/detect-ai-generated-tfidf-stylometry", "kernel_id": "47328886"}, {"ref": "paradoxplusparadise/ai-text-detection-bert-model", "kernel_id": "47845586"}, {"ref": "colin4ever/colin-s-adjustment-of-baseline", "kernel_id": "47024346"}, {"ref": "colin4ever/colin-s-learning-method1-llm", "kernel_id": "47389173"}, {"ref": "fermingarcia/battle-of-the-algorithms", "kernel_id": "47121307"}, {"ref": "shashishekhar6352/llm-detect-ai-generated-text-shashi", "kernel_id": "47875189"}, {"ref": "rishavsanson/llm-detect-ai-generated-text-bert", "kernel_id": "47130156"}, {"ref": "owaislone/detect-ai-text", "kernel_id": "47427512"}, {"ref": "seulbibaileylee/llm-edld-654-final", "kernel_id": "47262763"}, {"ref": "sjoonpark/notebook4f57f14dab", "kernel_id": "47229190"}, {"ref": "sjorslockhorst/ai-written-text-detection-baseline-logreg", "kernel_id": "47000342"}, {"ref": "sjorslockhorst/authentigpt-trial-w-longformer", "kernel_id": "47153115"}, {"ref": "vineetjhaa03/retentiveguard-unmasking-llm-generated-essays", "kernel_id": "47022988"}, {"ref": "junghyukchoi/llm-report", "kernel_id": "47512017"}, {"ref": "tsobolev/languagetool-cmd", "kernel_id": "47472532"}, {"ref": "robinsingh301/minorproject", "kernel_id": "47090344"}, {"ref": "erikfolkesson/llm-detecting-ai-generated-text", "kernel_id": "47787557"}, {"ref": "erikfolkesson/detailed-explanation-custom-tokenizer", "kernel_id": "47829092"}, {"ref": "malabhbakshi/0-961-score", "kernel_id": "47976231"}, {"ref": "malabhbakshi/0-96-score", "kernel_id": "47404627"}, {"ref": "malabhbakshi/llm-daigt", "kernel_id": "47405948"}, {"ref": "alexmoura2023/alex-public-0-959-balanced-data-by-prompt-name", "kernel_id": "47749242"}, {"ref": "bromotdi/detect-fake-text", "kernel_id": "47554718"}, {"ref": "medolotfy/notebookd7655e957d", "kernel_id": "47593871"}, {"ref": "medolotfy/linguistic-transformer-submission", "kernel_id": "47629420"}, {"ref": "medolotfy/0-960-llm-daigt-sub-mod-weights", "kernel_id": "47450673"}, {"ref": "medolotfy/linguistic-transformer", "kernel_id": "47482680"}, {"ref": "medolotfy/testing-hidden-data", "kernel_id": "47956233"}, {"ref": "hajarhisham/tokenizer-3models", "kernel_id": "47781651"}, {"ref": "hajarhisham/0-94-phrases-are-keys", "kernel_id": "47090928"}, {"ref": "hajarhisham/dnn-tfidf", "kernel_id": "47234095"}, {"ref": "hajarhisham/dnn-and-tfidf-fit-only-on-train-0-923", "kernel_id": "47235033"}, {"ref": "nourelhwaryy/notebook6b2840d182", "kernel_id": "47241833"}, {"ref": "nourelhwaryy/ai-human-base-ensemble", "kernel_id": "47247605"}, {"ref": "nourelhwaryy/0-94-phrases-are-keys", "kernel_id": "47249250"}, {"ref": "nourelhwaryy/notebookd498620daa", "kernel_id": "47098732"}, {"ref": "jenilgajjar/llm-detect-ai-generated-text-using-tfidf", "kernel_id": "47037744"}, {"ref": "jenilgajjar/llm-detect-ai-generated-text-using-svm", "kernel_id": "47034026"}, {"ref": "jenilgajjar/llm-svc", "kernel_id": "47059966"}, {"ref": "sasaagf/text-classification-ai-generated-text", "kernel_id": "47927915"}, {"ref": "vinodpgowda/initial", "kernel_id": "47266407"}, {"ref": "minhsienweng/gpu-train-mistral-7b-deberta-with-optuna", "kernel_id": "47320115"}, {"ref": "minhsienweng/infer-mistral-7b-v0-llama-2-7b-deberta-v3", "kernel_id": "47131597"}, {"ref": "suandikanapitupulu/nlp-using-roberta-kelompok-07", "kernel_id": "47182101"}, {"ref": "suandikanapitupulu/project-tekcertan-training-roberta", "kernel_id": "47222665"}, {"ref": "chenxiguan/aigc-detection", "kernel_id": "47242680"}, {"ref": "leodcaprio/llm-a-1", "kernel_id": "47205271"}, {"ref": "ahmedmagdyhosney/ai-detection-by-pre-trained-embedding-over-convnet", "kernel_id": "47030358"}, {"ref": "renitasequeira/notebook528d63d39c", "kernel_id": "47265372"}, {"ref": "mfmfmf3/clean-code-detect-ai-generated", "kernel_id": "47163879"}, {"ref": "highjay/roberta-10epoch", "kernel_id": "47811674"}, {"ref": "taiheekim/detect-ai-text", "kernel_id": "47954623"}, {"ref": "aditrichaudhari/nb-predict", "kernel_id": "47259225"}, {"ref": "ruthwikgangavelli/llm-detect-ai-generated-text", "kernel_id": "47255838"}, {"ref": "ayakakoba/ayaka", "kernel_id": "47048498"}, {"ref": "deepthipuvvada/essay-classifier", "kernel_id": "47163480"}, {"ref": "jwjane/tf-idf-with-simple-nn-jyw-version", "kernel_id": "47697570"}, {"ref": "jwjane/ai-generated-text-prediction-new-edited", "kernel_id": "47697653"}, {"ref": "ahmedmagdy16/llm-detect-using-doc2vec", "kernel_id": "47411579"}, {"ref": "ahmedmagdy16/llm-ai-generated-detect-with-embed-layer", "kernel_id": "47361780"}, {"ref": "ahmedmagdy16/llm-embed-layer-over-retnet", "kernel_id": "47389790"}, {"ref": "fabianaguirrechavez/detected-essays-llm-ai", "kernel_id": "47857047"}, {"ref": "joonyeongs/tf-idf-with-simple-nn", "kernel_id": "47529931"}, {"ref": "joonyeongs/ml-nn", "kernel_id": "47573790"}, {"ref": "joonyeongs/cnn-text-classification", "kernel_id": "47432112"}, {"ref": "johnsonl8/voting-with-larger-dataset", "kernel_id": "47080270"}, {"ref": "simengxu/pure-regression-with-large-dataset", "kernel_id": "47080059"}, {"ref": "suzyzzzz/567llm", "kernel_id": "47499601"}, {"ref": "chengfg/debbeet", "kernel_id": "47545564"}, {"ref": "rakasinghssdfsf/notebook4687b0aee0", "kernel_id": "47536418"}, {"ref": "ppujari/llm-detect-ai-gen-text-exploratory-data-analysis", "kernel_id": "48846541"}, {"ref": "snassimr/setfit-sample-notebook", "kernel_id": "48963223"}, {"ref": "cpmpml/ai-generated-text-detection-cluster", "kernel_id": "48866686"}, {"ref": "aerdem4/daigt-superfast-unsupervised-baseline", "kernel_id": "48854167"}, {"ref": "wowfattie/daigt-2nd-place", "kernel_id": "48714037"}, {"ref": "finlay/llm-detect-n-gram-probability", "kernel_id": "48689940"}, {"ref": "sdlee94/llm-p-tuning-starter-training-inference", "kernel_id": "48985635"}, {"ref": "huyryu/notebook820f02cae2", "kernel_id": "48592109"}, {"ref": "shashaalam/llm-fa", "kernel_id": "48859817"}, {"ref": "eraikako/text-classification-techniques-explained", "kernel_id": "48860525"}, {"ref": "verracodeguacas/7-se7en-prompts", "kernel_id": "48222991"}, {"ref": "shrutimechlearn/more-tuning-detecting-ai-generated-text", "kernel_id": "48056301"}, {"ref": "plarmuseau/nlp-using-glove-embeddings-99-78-accuracy", "kernel_id": "48963472"}, {"ref": "marangoz/daigt-v2-train-dataset-yal-n-v1", "kernel_id": "48754056"}, {"ref": "marangoz/data-yal-nla-t-rma", "kernel_id": "48548402"}, {"ref": "marangoz/tokenization-ve-tf-idf-llm-detect", "kernel_id": "48899951"}, {"ref": "carrot1500/mixture-of-prompt-specialists", "kernel_id": "48095357"}, {"ref": "chg0901/daigt960saveeverything-tfidfparas", "kernel_id": "48772116"}, {"ref": "chg0901/962baseline-top-100-before-delete-prompt", "kernel_id": "48876615"}, {"ref": "tauter/detect-llm-fake-text-scikit-learn-library", "kernel_id": "48296539"}, {"ref": "sambitmukherjee/download-marian-model", "kernel_id": "48995382"}, {"ref": "sambitmukherjee/with-nlpaug-explained-llm-model", "kernel_id": "48960373"}, {"ref": "sambitmukherjee/nlpaug-daigt-v2", "kernel_id": "48958647"}, {"ref": "sambitmukherjee/download-emotion-sentiment-models", "kernel_id": "48865186"}, {"ref": "sambitmukherjee/download-textstat-stopwords", "kernel_id": "48858335"}, {"ref": "zakirkhanaleemi/llm-detect-ai-generated-text-using-daigtext", "kernel_id": "48159331"}, {"ref": "derrickmwiti/detect-ai-content-with-tensorflow", "kernel_id": "48923702"}, {"ref": "sorkun/roc-auc-sensitivity-experiments", "kernel_id": "48042658"}, {"ref": "treblemaker123/simple-tf-idf-classifier", "kernel_id": "48144504"}, {"ref": "treblemaker123/analysis-predicting-on-out-of-distribution-data", "kernel_id": "48144224"}, {"ref": "yuhaya9/vectorize-with-sentence-transformers-lb-0-77", "kernel_id": "48576659"}, {"ref": "diogodsa/llm-detect-ai-generate", "kernel_id": "48173733"}, {"ref": "itsuki9180/llmdet-inference", "kernel_id": "48208790"}, {"ref": "itsuki9180/llmdet-multi-gpu-deepspeed-train-w-hf-accelerate", "kernel_id": "48202682"}, {"ref": "batprem/llm-daigt-find-edge-case", "kernel_id": "48063788"}, {"ref": "majingms/mj-llm-detect-ai-comp-mistral-7b", "kernel_id": "48249601"}, {"ref": "saurav9786/detecting-llm-generated-text", "kernel_id": "48456428"}, {"ref": "arviinndn/llm-text-generation-evaluation-using-deberta-rf", "kernel_id": "48216644"}, {"ref": "koushiksahu/detect-ai-generated-text-dataset", "kernel_id": "48475816"}, {"ref": "ciniur/daigt-mistral-7b-tpu-bfloat16-train", "kernel_id": "48271109"}, {"ref": "wenfengsui/sentence-embeddings-starter", "kernel_id": "48921350"}, {"ref": "prajwalsood/daigt-boosting-ensemble", "kernel_id": "48006220"}, {"ref": "lonnieqin/llm-text-detection-with-lstm", "kernel_id": "48271907"}, {"ref": "lonnieqin/llm-text-detection-with-cnn", "kernel_id": "48276486"}, {"ref": "myominhtet/multinomialnb-single-model-0-916", "kernel_id": "48946604"}, {"ref": "blohorn/ai-academia-unraveling-text-origins-with-roberta", "kernel_id": "48997188"}, {"ref": "burakyener/llm-demo1", "kernel_id": "48400295"}, {"ref": "boketto/explained-llm-model", "kernel_id": "48265278"}, {"ref": "rahulsehrawat/llm-detect-ai-generated-text", "kernel_id": "48815314"}, {"ref": "yugamjayant/d05-transfer-learning-model-02", "kernel_id": "48007291"}, {"ref": "igalriklin/deberta-first-try", "kernel_id": "48182945"}, {"ref": "zhenxianglin/explained-llm-model-285481", "kernel_id": "48272359"}, {"ref": "lookb4uplay/nj-ai-classification-with-data-leakage", "kernel_id": "48352335"}, {"ref": "lookb4uplay/nj-ai-classification-dl", "kernel_id": "48243106"}, {"ref": "kareem87/tfidf-sgd-detection-tokenizer", "kernel_id": "48322974"}, {"ref": "hozaifazaki99/lllk215548", "kernel_id": "48439425"}, {"ref": "hozaifazaki99/machine-learning-sgd", "kernel_id": "48311568"}, {"ref": "boristown/llm-daigt-analyse-edge-cases", "kernel_id": "48855210"}, {"ref": "zhangxiaojie6/detectai-transformers-baseline", "kernel_id": "48271508"}, {"ref": "wasimmadha/llm-daigtext", "kernel_id": "48971810"}, {"ref": "konstantinboyko/making-the-maximum-maximorum-of-the-bayes-model", "kernel_id": "48409620"}, {"ref": "remoanil/ai-generated-text-detection-with-explanation", "kernel_id": "48164575"}, {"ref": "vitalymegabyte/notebook2945baefc9", "kernel_id": "48087996"}, {"ref": "chintanvhparmar/fork-of-notebook1554722fbf", "kernel_id": "48810265"}, {"ref": "salbeal94/daigt-voting-ensemble-quick-starter", "kernel_id": "48706067"}, {"ref": "ahmedtaha8889/llm-generation-detection-using-bert", "kernel_id": "48726566"}, {"ref": "jshtang/llm-competition-using-glove-with-voting-classifier", "kernel_id": "48245441"}, {"ref": "jshtang/sentencepiece-constructions", "kernel_id": "48328890"}, {"ref": "namuvn/train-debertav3", "kernel_id": "48364980"}, {"ref": "namuvn/infer-cs221-o11-bertbase", "kernel_id": "48599505"}, {"ref": "namuvn/rel-infer-cs221-o11-debertav3", "kernel_id": "48584988"}, {"ref": "namuvn/train-bertbase", "kernel_id": "48425494"}, {"ref": "zainalinasir/deeplearningaitextdetection", "kernel_id": "48000635"}, {"ref": "biswanathbose/notebook8c45273a5a", "kernel_id": "48806385"}, {"ref": "denisding/ai-or-not-ai-delving-into-essays-with-eda", "kernel_id": "48436594"}, {"ref": "valentinwerner/choose-your-words-wisely-human-vs-ai", "kernel_id": "48900971"}, {"ref": "valentinwerner/sparse-dot-topn-word-experiments", "kernel_id": "48994496"}, {"ref": "valentinwerner/choose-your-words-wisely-2-0-human-vs-ai", "kernel_id": "48958587"}, {"ref": "youxuanlim/detect-ai-generated-text-private-0-908", "kernel_id": "48118484"}, {"ref": "zhuior/llm-generated-text-detection", "kernel_id": "48948263"}, {"ref": "nguyentuannguyen/llm-detect-ai-generated-text", "kernel_id": "48201624"}, {"ref": "mustafakeser4/keras-text-classification-from-scratch", "kernel_id": "48766824"}, {"ref": "mustafakeser4/inference-detectai-distilroberta-0-927", "kernel_id": "48729393"}, {"ref": "mustafakeser4/labelling-detect-ai-interactive-labelling-tool", "kernel_id": "48726121"}, {"ref": "mustafakeser4/no-ml-detect-ai-0-664", "kernel_id": "48815960"}, {"ref": "mustafakeser4/train-detectai-distilroberta-0-927", "kernel_id": "48928834"}, {"ref": "amanmukati/llm-generated-detector", "kernel_id": "48964537"}, {"ref": "alnourabdalrahman9/detect-llm-generated-text-using-distilbert-0-94", "kernel_id": "48727143"}, {"ref": "alnourabdalrahman9/fake-news-detection-using-distilbert", "kernel_id": "48451067"}, {"ref": "mariusdumitrescu/llm-ai-generated-text", "kernel_id": "48348033"}, {"ref": "amanace/notebook039189929a", "kernel_id": "48144186"}, {"ref": "sauravmishraa/llm-detect-ai-generated-notebook", "kernel_id": "48259168"}, {"ref": "bulivington/dagi-zippy", "kernel_id": "48372081"}, {"ref": "anthonynam/lora-fine-tuning-with-distilbert-daigt-v2", "kernel_id": "48198204"}, {"ref": "anthonynam/lora-fine-tuning-with-roberta-daigt-v2", "kernel_id": "48550030"}, {"ref": "anthonynam/qlora-fine-tuning-with-distilbert-daigt-v2", "kernel_id": "48725300"}, {"ref": "vivekyogi/llm-detect-ai-text", "kernel_id": "48659957"}, {"ref": "defamy/llm-competition-mark-ii-roberta", "kernel_id": "48918717"}, {"ref": "shaileshkumar591/llm-detect", "kernel_id": "48391192"}, {"ref": "mohanapriyan/tuning-llm", "kernel_id": "48815130"}, {"ref": "alihasnainch/detectai-transformers-baseline", "kernel_id": "48337342"}, {"ref": "yassinabdulmahdi/randomforest", "kernel_id": "48582744"}, {"ref": "pshikk/conv1d-lstm-approach", "kernel_id": "48507996"}, {"ref": "defdet/mixtral-essay-gen-not-ready", "kernel_id": "48602290"}, {"ref": "kk3103/ai-vs-human-text-classification-using-bert-neural", "kernel_id": "48744475"}, {"ref": "kk3103/ai-vs-human-text-classification-using-roberta", "kernel_id": "48585219"}, {"ref": "kk3103/llm-ai-vs-human-essay", "kernel_id": "48315241"}, {"ref": "younglak/llm-daigtext-0-961", "kernel_id": "48624207"}, {"ref": "b10705052/ai-generated-text-detection-quick-baseline", "kernel_id": "48251099"}, {"ref": "b10705052/irtmfinal", "kernel_id": "48243285"}, {"ref": "symonmwenewungu/notebookb18e01f3f9", "kernel_id": "48601152"}, {"ref": "pandas007/llm-daigt-analyse-edge-cases", "kernel_id": "48943055"}, {"ref": "paradoxplusparadise/ensemble-learning-technique-1", "kernel_id": "48117679"}, {"ref": "paradoxplusparadise/improved-submission", "kernel_id": "48385536"}, {"ref": "claudiojnior/llm-competition", "kernel_id": "48832713"}, {"ref": "aphysict/train-your-own-tokenizer", "kernel_id": "48201615"}, {"ref": "bmart80/llm-detect-ai-generated-text-nn-baseline", "kernel_id": "48798361"}, {"ref": "zskagcomp/llm-daigtext-0-961-2fde01", "kernel_id": "48332974"}, {"ref": "zskagcomp/llm-daigtext-0-961", "kernel_id": "48154338"}, {"ref": "garvsethi/work-is-going-on", "kernel_id": "48005521"}, {"ref": "owaislone/detectionmodel-ensemble", "kernel_id": "48130306"}, {"ref": "thomasgamet/token-game-ensemble-playbook-extension", "kernel_id": "48538263"}, {"ref": "vinodkumargurjar/kerasnlp-llm-detect-ai-generate", "kernel_id": "48203984"}, {"ref": "suryanshsharma1/approachable-solution", "kernel_id": "48743956"}, {"ref": "abdelkaderdebbaghi/premier", "kernel_id": "48927959"}, {"ref": "masinya67/llm-ipynb", "kernel_id": "48338027"}, {"ref": "avdyveyg/notebookd5de7ba397", "kernel_id": "48320355"}, {"ref": "maxtrox/p-tuning", "kernel_id": "48209886"}, {"ref": "harrynguyen0602/pytorch-transformers-detectect-ai-text-generated", "kernel_id": "48948671"}, {"ref": "hli111111/your-local-llm-build-your-custom-daigt-data", "kernel_id": "48886223"}, {"ref": "yashasnaidu/detect-ai-generated", "kernel_id": "48642433"}, {"ref": "quanminh11/notebook56ae1f78de", "kernel_id": "48595003"}, {"ref": "akshatshaw7/simple-tf-idf-from-basics", "kernel_id": "48257900"}, {"ref": "akshatshaw7/simple-word2vec", "kernel_id": "48480201"}, {"ref": "haiber/llm-ai-detection-contest", "kernel_id": "48670554"}, {"ref": "ankitmaddheshiya/llm-ai", "kernel_id": "48454356"}, {"ref": "cheesegue/eda-llm-detect", "kernel_id": "48609453"}, {"ref": "riteshbhalerao/xlnet-cnn", "kernel_id": "48371275"}, {"ref": "indubarnwal/llm-text-transformers", "kernel_id": "48430942"}, {"ref": "medolotfy/notebook793a3859f6", "kernel_id": "48068263"}, {"ref": "medolotfy/notebook508125b96a", "kernel_id": "48021128"}, {"ref": "medolotfy/mixture-of-experts-models-tokenizer", "kernel_id": "48018409"}, {"ref": "medolotfy/notebook9e74aeda9c", "kernel_id": "48015827"}, {"ref": "medolotfy/train-sgd-new-data", "kernel_id": "48002693"}, {"ref": "medolotfy/notebookf028436e33", "kernel_id": "48114212"}, {"ref": "medolotfy/mixture-of-experts-with-tokenizer-submission", "kernel_id": "48377341"}, {"ref": "medolotfy/mixture-of-experts-with-tokenizer", "kernel_id": "48377166"}, {"ref": "hajarhisham/notebook0e45e26289", "kernel_id": "48123203"}, {"ref": "hajarhisham/moe-train", "kernel_id": "48122665"}, {"ref": "hajarhisham/data-predictor", "kernel_id": "48125790"}, {"ref": "hajarhisham/notebookbaa5cd276a", "kernel_id": "48167846"}, {"ref": "hajarhisham/notebook0cf9cad125", "kernel_id": "48076087"}, {"ref": "serhiikharchuk/bertcuda-lightgbm-tf-idf-features", "kernel_id": "48999911"}, {"ref": "serhiikharchuk/lightgbm-model-feature-engineering-tf-idf-vectoriz", "kernel_id": "48996460"}, {"ref": "minhsienweng/gpu-infer-mistral-7b", "kernel_id": "48888463"}, {"ref": "ttopos/train-models", "kernel_id": "48614293"}, {"ref": "ebrunazayis/train-detect-authors-eda-pytorch", "kernel_id": "48325205"}, {"ref": "ebrunazayis/ai-or-not-ai-eda-kopya-eda", "kernel_id": "48261822"}, {"ref": "yitounian/word-embedding", "kernel_id": "48429548"}, {"ref": "rishabjagga/llm-text-detection", "kernel_id": "48959838"}, {"ref": "wu468ef/notebookf0d55a9692", "kernel_id": "48726924"}, {"ref": "shelitodelgado/codigo-3", "kernel_id": "48615388"}, {"ref": "shelitodelgado/codigo-5", "kernel_id": "48617317"}, {"ref": "shelitodelgado/codigo-4", "kernel_id": "48616377"}, {"ref": "shelitodelgado/c-digo-02", "kernel_id": "48498729"}, {"ref": "etiennekaiser/eda-llm-generated-student-essays-dataset", "kernel_id": "48037046"}, {"ref": "sineer666/llm-text-detection-with-lstm", "kernel_id": "48978724"}, {"ref": "satishsathawane/llm-detect-ai-generated-text", "kernel_id": "48834638"}, {"ref": "rajkumardubey10/bert-llm", "kernel_id": "48946821"}, {"ref": "rajkumardubey10/bidirectional-lstm-llm-ai-detection", "kernel_id": "48991330"}, {"ref": "dungeonmaster12/llm-detect-ai-generated-text", "kernel_id": "48232249"}, {"ref": "thelastbugs/submission", "kernel_id": "48687109"}, {"ref": "yashchaudhari67/detecting-llm-generated-text-4", "kernel_id": "48570560"}, {"ref": "v1o1oo/llm-detect-ai-generated-text", "kernel_id": "48464227"}, {"ref": "solomonschwiger/notebookd5de7ba397", "kernel_id": "48339024"}, {"ref": "ruhong/daigt-train-your-own-tokenizer", "kernel_id": "49431166"}, {"ref": "ppujari/llm-detect-ai-generated-text-bert-mini", "kernel_id": "49383660"}, {"ref": "ppujari/llm-generated-text-detection-with-bert", "kernel_id": "49031719"}, {"ref": "cpmpml/daigt-fix-typos", "kernel_id": "49868059"}, {"ref": "bisili/bert-based-classifier", "kernel_id": "49401993"}, {"ref": "aerdem4/daigt-superfast-unsupervised-baseline-gpu", "kernel_id": "49260223"}, {"ref": "gauravbrills/inference-detectai-distilroberta", "kernel_id": "49105227"}, {"ref": "gauravbrills/train-detectai-bert-deberta-distil", "kernel_id": "49025740"}, {"ref": "marangoz/model-denemesi-llm-detect", "kernel_id": "49140294"}, {"ref": "chg0901/v69-957-0-955-phrases-are-keys", "kernel_id": "49469603"}, {"ref": "danshatzz/spacy-embeddings-tfidf-ensemble", "kernel_id": "49314437"}, {"ref": "sambitmukherjee/synonym-replace-explained-llm-model", "kernel_id": "49232982"}, {"ref": "pdx250697/llm-competition-distillbert", "kernel_id": "49026108"}, {"ref": "pdx250697/llm-daigt-version-visualization", "kernel_id": "49142760"}, {"ref": "thedrcat/top-solutions-with-roc-auc-metric", "kernel_id": "49483499"}, {"ref": "serjhenrique/daigt-biased-words-and-biased-samples", "kernel_id": "49453761"}, {"ref": "serjhenrique/daigt-m4-dataset", "kernel_id": "49221664"}, {"ref": "serjhenrique/daigt-hc3-dataset", "kernel_id": "49216382"}, {"ref": "serjhenrique/daigt-contrastive-learning-tsne-w-b-infer", "kernel_id": "49208345"}, {"ref": "serjhenrique/daigt-tfidf-multiple-datasets", "kernel_id": "49319846"}, {"ref": "serjhenrique/daigt-mixed-paragraph-dataset", "kernel_id": "49049331"}, {"ref": "serjhenrique/daigt-contrastive-learning-tsne-w-b-train", "kernel_id": "49145854"}, {"ref": "reiendo73/daigt-ensemble-two-stage-prediction", "kernel_id": "49883381"}, {"ref": "yamsam/fix-words-train", "kernel_id": "49738234"}, {"ref": "ympaik/29th-solution", "kernel_id": "49883169"}, {"ref": "davidecozzolino/coder-one", "kernel_id": "49121418"}, {"ref": "davidecozzolino/coder-one2", "kernel_id": "49396111"}, {"ref": "sorkun/llm-eda-120k-human-vs-llm-essays", "kernel_id": "49886269"}, {"ref": "shhrkre/gpt2lmheadmodel-gpt2tokenizer", "kernel_id": "49344542"}, {"ref": "vinitkp/pytorch-llm-text", "kernel_id": "49081293"}, {"ref": "conjuring92/d402-prepare-train-for-retrieval", "kernel_id": "49742501"}, {"ref": "conjuring92/r06-run-ensemble", "kernel_id": "49590522"}, {"ref": "me1120731/detectaigeneratedtext", "kernel_id": "49924611"}, {"ref": "piotrkoz/0-963-levenshtein-distance-daigt", "kernel_id": "49490266"}, {"ref": "startalks/llm-detect-ai-generated-text-with-my-experiments", "kernel_id": "49069221"}, {"ref": "batprem/llm-daigt-excluded-prompts", "kernel_id": "49405160"}, {"ref": "batprem/llm-daigt-final-submission", "kernel_id": "49829599"}, {"ref": "batprem/fork-of-fork-of-llm-daigt-0-963-my-last-n-2fed73", "kernel_id": "49791657"}, {"ref": "firecracker1994/twin-encoders", "kernel_id": "49789135"}, {"ref": "benthecoder/detect-llm-text", "kernel_id": "49337548"}, {"ref": "dky7376/inference-daigt-bert-pipeline", "kernel_id": "49349700"}, {"ref": "dky7376/train-daigt-bert-pipeline", "kernel_id": "49250996"}, {"ref": "dhrubajyotiguha15/nlp-homework-classification", "kernel_id": "49641541"}, {"ref": "jsday96/multi-context-students", "kernel_id": "49798209"}, {"ref": "nbroad/r100-ensemble", "kernel_id": "49798452"}, {"ref": "aleron751/infer-dna-gpt", "kernel_id": "49142798"}, {"ref": "aleron751/lstm-transformer-cnn-approach", "kernel_id": "49448032"}, {"ref": "jeannkouagou/saved-deberta-embeddings-for-efficiency-submission", "kernel_id": "49371111"}, {"ref": "sandeepbkadam/notebook123", "kernel_id": "49788044"}, {"ref": "kenjikonno/llm-distillbert-how-to-tune-up", "kernel_id": "49561323"}, {"ref": "kenjikonno/distillbert-how-to-apply-fine-tuned-model", "kernel_id": "49602774"}, {"ref": "uesugierii/lm-llm-daigt-analyse-edge-cases", "kernel_id": "49833039"}, {"ref": "lonnieqin/ai-generated-text-regression-with-custom-tokenizer", "kernel_id": "49826096"}, {"ref": "arindamroy23/llm-daigt-excluded-prompts", "kernel_id": "49468839"}, {"ref": "heartssix/popular-daigt-levenshtein-correction-but-late", "kernel_id": "49586784"}, {"ref": "rishavdash/spelling-mistake", "kernel_id": "49133601"}, {"ref": "rishavdash/openai-generate-humanlike-data", "kernel_id": "49032964"}, {"ref": "yeoyunsianggeremie/daigt-prompt-prediction-with-deberta", "kernel_id": "49641094"}, {"ref": "mayakaripel/notebook1b86606c1a", "kernel_id": "49860008"}, {"ref": "sgantayat9/train", "kernel_id": "49149633"}, {"ref": "lenferdetroud/clean-code-detect-ai-generated", "kernel_id": "49567734"}, {"ref": "lenferdetroud/llm-daigt", "kernel_id": "49518515"}, {"ref": "lenferdetroud/llm-daigt-excluded-prompts", "kernel_id": "49437528"}, {"ref": "lenferdetroud/bpe-tf-idf", "kernel_id": "49400169"}, {"ref": "cuboorandell/llm-public-score-0-961", "kernel_id": "49028907"}, {"ref": "bianshengtao/0-962-tf-idf", "kernel_id": "49388770"}, {"ref": "aliosmankaya/train-no-code-auto-nlp-model-0-75", "kernel_id": "49190657"}, {"ref": "rajatgupta1901/essaywriting", "kernel_id": "49032199"}, {"ref": "rajatgupta1901/essaywriting2", "kernel_id": "49225274"}, {"ref": "zhenxianglin/daigt-deberta-text-classification-inference", "kernel_id": "49267687"}, {"ref": "zhenxianglin/daigt-deberta-text-classification-train", "kernel_id": "49245089"}, {"ref": "tatsuyayamamoto/llm-daigtext-levenshtein", "kernel_id": "49661893"}, {"ref": "sankha1234/detect-ai-text-v1", "kernel_id": "49224340"}, {"ref": "lauvfpitipak/llm-detect-generated-text", "kernel_id": "49384006"}, {"ref": "lauvfpitipak/ai-detect-text", "kernel_id": "49394582"}, {"ref": "lauvfpitipak/llm-detected-ai-generating-text", "kernel_id": "49367658"}, {"ref": "vladislavkolesov/tpu-train-mistral-7b-detection-good-data", "kernel_id": "49713230"}, {"ref": "vladislavkolesov/infer-pb-899-detect-llm-generated-text", "kernel_id": "49775860"}, {"ref": "jerifate/three-tower-lstm-transformer-2-feature", "kernel_id": "49404018"}, {"ref": "jerifate/extra-train-new", "kernel_id": "49314868"}, {"ref": "hozaifazaki99/generate-synthetic-essays-with-mistral-7b-instruct", "kernel_id": "49252769"}, {"ref": "hozaifazaki99/notebook04ece97612", "kernel_id": "49093905"}, {"ref": "hozaifazaki99/train-models", "kernel_id": "49103047"}, {"ref": "mingkaizhu/public-0-966-private-0-923-solution", "kernel_id": "49761529"}, {"ref": "rawstone/notebookd6d0ad63a5", "kernel_id": "49367827"}, {"ref": "mercyfnyamburak/llm-detect-ai-generated-text-tf-keras", "kernel_id": "49431790"}, {"ref": "asalhi/modelsxrunv1deeplearning", "kernel_id": "49164152"}, {"ref": "asalhi/secretsauceartridge", "kernel_id": "49847070"}, {"ref": "konstantinboyko/vinaigrette-of-models-and-datasets", "kernel_id": "49399751"}, {"ref": "konstantinboyko/collecting-your-mega-dataset", "kernel_id": "49462347"}, {"ref": "konstantinboyko/making-the-maximum-maximorum-of-the-tensoflow", "kernel_id": "49093319"}, {"ref": "omerdiaaeldin/ai-generated-text-detection", "kernel_id": "49682179"}, {"ref": "namuvn/infer-step-by-step-cs221-o11-debertav3", "kernel_id": "49954571"}, {"ref": "namuvn/infer-results-cs221-o11-debertav3", "kernel_id": "49991414"}, {"ref": "bjba99/llm-detect-ai-generated-text-v1", "kernel_id": "49267791"}, {"ref": "youssefismail20/detect-ai-generated-text-daigt", "kernel_id": "49776091"}, {"ref": "valentinwerner/choose-your-words-wisely-3-0-human-vs-ai", "kernel_id": "49000871"}, {"ref": "olegshpagin/optimizations-score-human-or-ai-text-v-2-1", "kernel_id": "49284716"}, {"ref": "olegshpagin/0-963-optimizations-detect-human-or-ai-text", "kernel_id": "49248754"}, {"ref": "mchernyshev/llm-detect-private-0-928-public-code-tuning", "kernel_id": "49879422"}, {"ref": "rechawine/detect-ai-generated-text-146th-solution", "kernel_id": "49636853"}, {"ref": "evgeniimaslov2/llm-daig-3rd-place-solution", "kernel_id": "49982781"}, {"ref": "oussamalariouch/modelrnn", "kernel_id": "49225299"}, {"ref": "oussamalariouch/catboost-llm", "kernel_id": "49207395"}, {"ref": "qianmulin/tf-idf-combined-with-robust-modeling", "kernel_id": "49450206"}, {"ref": "mustafakeser4/daigt-simple-ensemble-private-0-913", "kernel_id": "49857776"}, {"ref": "raichucy/detect-ai-generated-text-raichucy", "kernel_id": "49582897"}, {"ref": "balala121/votingclassifier", "kernel_id": "49264037"}, {"ref": "klausmikaelson2002/lstm-transformer-cnn-approach", "kernel_id": "49201697"}, {"ref": "zhijianjiang6666/exp4-llm-detect-ai-generated-text", "kernel_id": "49636037"}, {"ref": "abdullahmeda/perplexity-features", "kernel_id": "49358495"}, {"ref": "abdullahmeda/gpt-models-tokenizers", "kernel_id": "49370050"}, {"ref": "abdullahmeda/8th-lb-solution-ppl-gltr-features", "kernel_id": "49883182"}, {"ref": "valuejack/llm-daigt-excluded-prompts", "kernel_id": "49521869"}, {"ref": "alnourabdalrahman9/detect-ai-generated-text-usiing-transformers", "kernel_id": "49021884"}, {"ref": "luanala/0120-submit1", "kernel_id": "49438905"}, {"ref": "priyankraval/ai-detection-text-llm", "kernel_id": "49218784"}, {"ref": "piyushborhade/llm-detect-ai-generated-text", "kernel_id": "49385726"}, {"ref": "bulivington/lstm-transformer-cnn-approach", "kernel_id": "49442629"}, {"ref": "huihuihui12/llm-detection-tf-idf-with-cut-mix", "kernel_id": "49699312"}, {"ref": "maxverstappen/llm-daigt-excluded-prompts", "kernel_id": "49496642"}, {"ref": "jayeshsonawane/codebert-ai-text-detection-submission-notebook", "kernel_id": "49147802"}, {"ref": "y61329697/notebookad45bc9773", "kernel_id": "49913679"}, {"ref": "lizhecheng/lb-0-969-pb-0-929-mnb-sgd-rf-cb", "kernel_id": "49901761"}, {"ref": "lizhecheng/lb-0-970-pb-0-928-mnb-sgd-cb-rf-mlp", "kernel_id": "49901844"}, {"ref": "chanchal24/quora-text-classification", "kernel_id": "49785658"}, {"ref": "alinacram/transformers-classification", "kernel_id": "49144098"}, {"ref": "jyoti404/llm-detect-ai-generated-submission", "kernel_id": "49419137"}, {"ref": "shivanshuverma/easy-and-beginner-friendly", "kernel_id": "49962919"}, {"ref": "csuer411/tfidf2classify", "kernel_id": "49453099"}, {"ref": "yassinabdulmahdi/cnn-model", "kernel_id": "49094473"}, {"ref": "abdelrahmanahmed110/ai-text-detection-prediction", "kernel_id": "49139286"}, {"ref": "yeyuuu/explained-bpe-tokenizer-tf-idf-vectorizer", "kernel_id": "49027864"}, {"ref": "yeyuuu/detect-aigc-deberta-baseline", "kernel_id": "49036680"}, {"ref": "kasvisingh/essaywriting2", "kernel_id": "49419385"}, {"ref": "dileepjayamal/lstm-transformer-0-955", "kernel_id": "49200756"}, {"ref": "andreynesterov/transformer-lstm-conv-approach-oof-ensemble", "kernel_id": "49776790"}, {"ref": "andreynesterov/daigt-bpe-learning-feats-100k", "kernel_id": "49386919"}, {"ref": "spraut23333/daigt-public-0-965-private-0-927", "kernel_id": "49766033"}, {"ref": "pushpendramishra5027/ai-text-detection-on-kaggle-data", "kernel_id": "49170349"}, {"ref": "pushpendramishra5027/ai-text-detection-on-kaggledata", "kernel_id": "49171091"}, {"ref": "pushpendramishra5027/ai-generated-text-detection-on-kaggle-dataset", "kernel_id": "49146287"}, {"ref": "pushpendramishra5027/train-your-own-custom-tokenizer", "kernel_id": "49145955"}, {"ref": "aaronogle/detecting-ai-generated-text-cnn-vs-xgboost", "kernel_id": "49179591"}, {"ref": "ichigoe/bidirectionlstm-transformer-cnn", "kernel_id": "49099341"}, {"ref": "hli111111/langchain-gptwgemini-build-your-custom-daigt-data", "kernel_id": "49078173"}, {"ref": "ankushrautcu/detecting-llm-generated-text-using-distilbert", "kernel_id": "49327381"}, {"ref": "nikotin55/daigt-152-place", "kernel_id": "49748148"}, {"ref": "kimseunghee/24th-place-notebook-public-0-966-private-0-927", "kernel_id": "49427582"}, {"ref": "channingfisher/nlp-practical-2", "kernel_id": "49669541"}, {"ref": "umedaranaveer/llm-detect-ai-gen", "kernel_id": "49167921"}, {"ref": "amitkumarupadhyay012/llm-vs-human-response", "kernel_id": "49407530"}, {"ref": "medolotfy/splitting-docs-to-focus", "kernel_id": "49392831"}, {"ref": "medolotfy/single-model-submission", "kernel_id": "49395515"}, {"ref": "hajarhisham/notebook27df234e85", "kernel_id": "49256023"}, {"ref": "nourelhwaryy/absafos45455d", "kernel_id": "49252204"}, {"ref": "minhsienweng/cluster-transformer-for-text-detections", "kernel_id": "49023776"}, {"ref": "mfmfmf3/very-easy-silver-medal-private-92-3", "kernel_id": "49696275"}, {"ref": "sivasubramaniaml/ai-human-essay-classifier", "kernel_id": "49849304"}, {"ref": "khushikhushikhushi/llm-detect-ai-generated-text-bert-offline", "kernel_id": "49817471"}, {"ref": "khushikhushikhushi/detect-ai-generated", "kernel_id": "49189921"}, {"ref": "krishkhadria/datapreprocessingfortextclassification", "kernel_id": "49445902"}, {"ref": "user7979/detect-ai-text-using-transformers-and-sklearn", "kernel_id": "49737165"}, {"ref": "user7979/detect-ai-text", "kernel_id": "49042666"}, {"ref": "marwacherrat/finalversion", "kernel_id": "49848103"}, {"ref": "bohaoxu/llm-ensemble962", "kernel_id": "49490715"}, {"ref": "ahmedmaghrabi/daigt-cluster", "kernel_id": "49123342"}, {"ref": "yangruiii/daigt-llm-ghostbuster-2", "kernel_id": "49055451"}, {"ref": "aalanderos95/9-31-cnn-transformer", "kernel_id": "49657850"}, {"ref": "tafartech/fake-essay-detection", "kernel_id": "49099265"}, {"ref": "ahmedmagdy16/llm-make-7-prompt-train-dataset-with-prompt-id", "kernel_id": "49400595"}, {"ref": "molotfy/extract-important-features", "kernel_id": "49404666"}, {"ref": "yuxuezhang1128/bert-based-classifier", "kernel_id": "49554026"}, {"ref": "yuxuezhang1128/ai-detection-text-llm2", "kernel_id": "49554320"}, {"ref": "caspianzero/final-solution-llm-ai-generated-text-detection", "kernel_id": "49959379"}, {"ref": "munkhtur38/0-965-accurancy-notebook-by-munkhtur", "kernel_id": "49867398"}, {"ref": "sumandas0/dlp-wheels", "kernel_id": "49164140"}, {"ref": "anjairawal0401/lr-daigt", "kernel_id": "49852302"}, {"ref": "maciejzajecki/dswts-xgboost", "kernel_id": "49062020"}, {"ref": "liujingtao/explained-detect-ai-generated-text-resourced", "kernel_id": "49743265"}, {"ref": "liujingtao/7-se7en-prompts-8e34b0", "kernel_id": "49403710"}, {"ref": "jobsearchds/llm-detect-bert", "kernel_id": "49366458"}, {"ref": "jobsearchds/llm-detect-tfidf-ensembleclassifier", "kernel_id": "49168080"}, {"ref": "mengtingfeng/lstm-transformer-cnn-approach", "kernel_id": "49681662"}, {"ref": "meetp2997/notebook09454a1782", "kernel_id": "49111838"}, {"ref": "rhoguy/eda-for-llm-detection-dataset-relation", "kernel_id": "49292605"}, {"ref": "namanjr333/naman21112074llm", "kernel_id": "49425790"}, {"ref": "irakozekelly/ai-generated-texts-detection", "kernel_id": "49562624"}, {"ref": "neslihanozeryildiz/code-interpretation-llm-daigt-analyse-edge-cases", "kernel_id": "49780397"}, {"ref": "neslihanozeryildiz/train-detect-authors-eda-pytorch", "kernel_id": "49374879"}, {"ref": "neslihanozeryildiz/ai-or-not-ai-delving-into-essays-with-eda", "kernel_id": "49379427"}, {"ref": "quantumcoder98/deberta-v3-xlargemcq-s-ipynb", "kernel_id": "49703644"}, {"ref": "ankit6937/fine-tuned-bert-llm-text-classificaiton", "kernel_id": "49514518"}, {"ref": "chg0901/v46-fullm-0-955-phrases-are-keys", "kernel_id": "50044307"}, {"ref": "davidecozzolino/6nd-place-solution-training-code", "kernel_id": "50286181"}, {"ref": "davidecozzolino/6nd-place-solution-testing-code", "kernel_id": "50287426"}, {"ref": "stpeteishii/ai-generated-deberta-v3-base-w-keybert", "kernel_id": "50517619"}, {"ref": "stpeteishii/ai-generated-text-keybert", "kernel_id": "50516821"}, {"ref": "chasembowers/4th-place-solution", "kernel_id": "50244026"}, {"ref": "pollicio/detect-llm-text-efficiency-a-cuevas", "kernel_id": "50831950"}, {"ref": "prashantchoubey1/learn-basics-of-nlp-using-bert-model", "kernel_id": "50944122"}, {"ref": "akhilakamma/llm-ai-text-detect-bert-simple", "kernel_id": "50433435"}, {"ref": "yeoyunsianggeremie/pb-0-933-using-polluted-human-dataset-in-tf-idf", "kernel_id": "50019135"}, {"ref": "shirinymn/entropy-svm", "kernel_id": "50527579"}, {"ref": "tarekyahia/generative-question-answer-system-with-haystack", "kernel_id": "50635115"}, {"ref": "tarekyahia/lora-fine-tune-flan-t5-gen-question-answer-marco", "kernel_id": "50797299"}, {"ref": "zaakciiru/2nd-efficiency-44th-place-solution", "kernel_id": "50234458"}, {"ref": "tonymarkchris/entropy-based-text-detector", "kernel_id": "50426986"}, {"ref": "tonymarkchris/softmax-sleuthing-refinement-via-pseudo-labels", "kernel_id": "50372699"}, {"ref": "tonymarkchris/train-detectai-deberta", "kernel_id": "50469004"}, {"ref": "yaswanthgali/generate-synthetic-essays-with-mistral-7b-instruct", "kernel_id": "50071091"}, {"ref": "vinusebastianthomas/3rd-place-solution", "kernel_id": "50206296"}, {"ref": "ootake/efficiency-lb-5th-place-solution", "kernel_id": "50256119"}, {"ref": "gowrishankarp/tpu-train-gemma-7b-bfloat16-pytorch-xla", "kernel_id": "50978014"}, {"ref": "wusar2/detect-llm-text-efficiency-lb", "kernel_id": "50409832"}, {"ref": "wusar2/detect-fake-text-kerasnlp-tf-torch-jax-infer", "kernel_id": "50409930"}, {"ref": "wusar2/lifanwu", "kernel_id": "50447313"}, {"ref": "raviiloveyou/safeguarding-text-from-ai", "kernel_id": "50084201"}, {"ref": "amirsh73/recognition-of-llm-texts-non-depth", "kernel_id": "50098001"}, {"ref": "arcfahad/first-one", "kernel_id": "50150374"}, {"ref": "ahmedashrafahmed/llm-detect-ai-generated-text-use-transformer-99-3", "kernel_id": "50160252"}, {"ref": "sajjadzangiabadi/ai-text-detection-eda-bilstm", "kernel_id": "50237681"}, {"ref": "sajjadzangiabadi/ai-text-detection-traditional-ml", "kernel_id": "50251300"}, {"ref": "vedantxtime/text-safeguard-by-vedant-pawar", "kernel_id": "50258542"}, {"ref": "akhilsnairrb1923/lage-data", "kernel_id": "50220660"}, {"ref": "yashraj121/retentiveguard", "kernel_id": "50592351"}, {"ref": "shashanks1202/detect-fake-text-kerasnlp-tf-torch-jax-train", "kernel_id": "50688832"}, {"ref": "shashanks1202/detect-llm-text-efficiency-lb", "kernel_id": "50688709"}, {"ref": "malabhbakshi/bronze-winning-solution", "kernel_id": "50098699"}, {"ref": "martinkolda/llm-detector", "kernel_id": "50509280"}, {"ref": "hakim11/ai-generated-text-detection-using-transformer", "kernel_id": "50979094"}, {"ref": "xiaoz259/daigt", "kernel_id": "50578225"}, {"ref": "dltech/llmtest", "kernel_id": "50589339"}, {"ref": "superfei/solution-of-4th-place-in-efficiency-lb", "kernel_id": "50160458"}, {"ref": "tarek500/fine-tune-flan-t5-question-answer-squad-v1", "kernel_id": "50851540"}, {"ref": "imrohanshah99/kerasnlp-starter-notebook-llm-detect-ai-generate", "kernel_id": "50457703"}, {"ref": "qizhao2/app-ngrok", "kernel_id": "51015135"}, {"ref": "gowrishankarp/gemma2b-full-parameter-training-pytorch-xla", "kernel_id": "51444100"}, {"ref": "mariambarakat/lab-01-mariam", "kernel_id": "51173100"}, {"ref": "umgeeyo/unsupervised-baseline-e", "kernel_id": "51826343"}, {"ref": "umgeeyo/ghost-bursting", "kernel_id": "51957900"}, {"ref": "arcfahad/ml-project-ai-generated-text-detection-copied-v4", "kernel_id": "51118868"}, {"ref": "arcfahad/ml-project-distilbert", "kernel_id": "51293006"}, {"ref": "arcfahad/ml-project-enssamble", "kernel_id": "51469448"}, {"ref": "siamalmujadded/ml-project-bert", "kernel_id": "51427196"}, {"ref": "richolson/mistral-7b-tweet-analysis-bribe-test", "kernel_id": "51546253"}, {"ref": "shaziyasultana/llm-daigt-final-project", "kernel_id": "51230501"}, {"ref": "yangruiii/llama-logits-new", "kernel_id": "51971450"}, {"ref": "leejungyu1/tranko", "kernel_id": "51760838"}, {"ref": "manjunathanrk/daig-automl-h2o-ai", "kernel_id": "51414223"}, {"ref": "amrozjohn/amroz-submission", "kernel_id": "51173096"}, {"ref": "ruhiiiimahir/llm-ai-text-detection-eda", "kernel_id": "51624684"}, {"ref": "franksjtu/tf-vectorization-explained-and-resourced-548262", "kernel_id": "52970804"}, {"ref": "fakehai/synthetic-datasets", "kernel_id": "52842091"}, {"ref": "eraydikyololu/learn-basics-of-nlp-using-bert-model", "kernel_id": "52865623"}, {"ref": "ovven12138/kerasnlp-starter-notebook-llm-detect-ai-generate", "kernel_id": "52017851"}, {"ref": "leejungyu1/translated-ko-c-with-noise", "kernel_id": "52826902"}, {"ref": "akkisawant/detect-fake-text", "kernel_id": "52781545"}, {"ref": "rashmibanthia/llm-detect-robertalarge", "kernel_id": "53247304"}, {"ref": "rashmibanthia/llm-detect-debertaxlarge", "kernel_id": "53045346"}, {"ref": "rashmibanthia/llm-detect-deberta-v3-large-inference", "kernel_id": "53427100"}, {"ref": "rashmibanthia/llm-detect-13th-gold-solution", "kernel_id": "53452375"}, {"ref": "alejopaullier/aes-2-multi-class-classification-inference", "kernel_id": "53898953"}, {"ref": "domdejonge/example", "kernel_id": "53615245"}, {"ref": "trungngoq/inference-mistral-finetuning", "kernel_id": "53325214"}, {"ref": "evgeniimaslov2/classify-if-text-was-ai-generated", "kernel_id": "53624158"}, {"ref": "riddhimanghatak/ai-generated-text", "kernel_id": "53462841"}, {"ref": "techvisualizer/group-224", "kernel_id": "53407707"}, {"ref": "mshkf7/ai-essays", "kernel_id": "53951107"}, {"ref": "fappio97/project-deep-learning", "kernel_id": "53611426"}, {"ref": "fappio97/notebook64f8281055", "kernel_id": "53395949"}, {"ref": "malakafaqahmad/text-classification-with-ml", "kernel_id": "53479859"}, {"ref": "yangruiii/3rd-place-solution", "kernel_id": "53118355"}, {"ref": "imrohanshah99/detect-fake-text-kerasnlp-tf-torch-jax-t-f01695", "kernel_id": "53084132"}, {"ref": "umrof1029/distilbertclassifier-from-scratch-with", "kernel_id": "53523691"}, {"ref": "samarthsaxena2004/project", "kernel_id": "53397604"}, {"ref": "samarthsaxena2004/project-exhibition-224", "kernel_id": "53434317"}, {"ref": "shrutijaiswal0529/project-exhibition", "kernel_id": "53344411"}, {"ref": "lonnieqin/automatic-essay-scoring-with-debertav3", "kernel_id": "54628010"}, {"ref": "satyaprakashshukl/voting-classifier-analysis", "kernel_id": "54731828"}, {"ref": "abdullahmeda/persuade-train-essays-analysis", "kernel_id": "54716727"}, {"ref": "wontonflambe/llm-detection-with-embeddings", "kernel_id": "54822892"}, {"ref": "saitejasettipalli/sml-project", "kernel_id": "54383753"}, {"ref": "calvinkailun/notebook01adc47f53", "kernel_id": "54380307"}, {"ref": "qsvwk406/fork-of-tokenizer-plus-classifier", "kernel_id": "54627295"}, {"ref": "pmkkarthikeyan/llm-plagarism-detector", "kernel_id": "54595949"}, {"ref": "loganll94582/efficiency-lb-1st-place-solution", "kernel_id": "54478992"}, {"ref": "weijiehuang0930/aic-version0", "kernel_id": "54054922"}, {"ref": "weijiehuang0930/aic-version7", "kernel_id": "54054398"}, {"ref": "trungngoq/tfidf-nlp-characteristics-features-ensemble", "kernel_id": "55249041"}, {"ref": "sahibsingh573/notebookeb03353783", "kernel_id": "55227514"}, {"ref": "thomasgamet/silvermetaltokengame-ensembleplaybook-extension", "kernel_id": "55320847"}, {"ref": "mingyuehhhh/3rd-new-new", "kernel_id": "55945522"}, {"ref": "nobody42143242/main-document", "kernel_id": "55278191"}, {"ref": "nobody42143242/final-project", "kernel_id": "55478049"}, {"ref": "muhammadsohailzzu/ai-generated-text-detection-using-transformer", "kernel_id": "55585320"}, {"ref": "umrof1029/classifer-solution", "kernel_id": "55052097"}, {"ref": "clovislechien/bert-llm-detection", "kernel_id": "55388891"}, {"ref": "ombwaj/detect-fake-text-kerasnlp-tf-torch-jax-t-d31bfd", "kernel_id": "55456829"}, {"ref": "akashsdevbanshi/llm-fake-detection", "kernel_id": "56054386"}, {"ref": "alexanderxss/ai-generate-text-detection", "kernel_id": "56391409"}, {"ref": "alexanderxss/pytorch-lightning-distilbert-classifier", "kernel_id": "56383675"}, {"ref": "yangruiii/8th-lb-solution-ppl-gltr-features", "kernel_id": "56394953"}, {"ref": "yangruiii/deberta-large-dataset", "kernel_id": "57407020"}, {"ref": "hhhhhahmario/deberta-large-dataset", "kernel_id": "57650414"}, {"ref": "hhhhhahmario/llama-logits-new-final", "kernel_id": "57636033"}, {"ref": "supermarioss/llama-logits-new-222bd0", "kernel_id": "57725553"}, {"ref": "at3191/llm-generated-vs-human-detection", "kernel_id": "58940497"}, {"ref": "hsim6m6/detectaigeneratetext", "kernel_id": "58095222"}, {"ref": "torahman/llm-kerasnlp-text-mining", "kernel_id": "58603619"}, {"ref": "huzaifashah001/ai-text-with-cotnet", "kernel_id": "58202734"}, {"ref": "javaidiqbal198/llm-daigt-excluded-prompts", "kernel_id": "59150056"}, {"ref": "vineetgupta2023/daigt-mistral-7b-tpu-bfloat16-train-try", "kernel_id": "59481252"}, {"ref": "plurato/ai-detect", "kernel_id": "59617530"}, {"ref": "pimoxiss/test-notebook-nlp", "kernel_id": "59090747"}, {"ref": "pranshubahadur/mamba-diagt", "kernel_id": "60409141"}, {"ref": "pranshubahadur/detect-llm-generated-essays-using-mamba", "kernel_id": "60413714"}, {"ref": "sharad3162/ai-text-detection-99-47", "kernel_id": "60637702"}, {"ref": "harshithvarma007/llm-text-detection-99-47-accuracy", "kernel_id": "60574464"}, {"ref": "chanchal24/generate-image-from-text", "kernel_id": "61540835"}, {"ref": "ggranpiri/ggranpiri", "kernel_id": "61788830"}, {"ref": "nju123/bertaigcdetection", "kernel_id": "61368949"}, {"ref": "nju123/cnn-lstm", "kernel_id": "61218968"}, {"ref": "michebareng/stopwords-lemm-classic-model", "kernel_id": "61297099"}, {"ref": "michebareng/model-stop-words-lemmatization", "kernel_id": "61309077"}, {"ref": "michebareng/lstm-tuned-model", "kernel_id": "61562136"}, {"ref": "michebareng/tuned-model-glove", "kernel_id": "61585936"}, {"ref": "creatorlogs/distil-roberta-llm-generated-text-classifier", "kernel_id": "61353502"}, {"ref": "mironpontak/fork-of-notebook3ad1310d3a", "kernel_id": "61127091"}, {"ref": "yangruiii/mistral7b", "kernel_id": "62965383"}, {"ref": "daihengwei/simulate-tttt", "kernel_id": "63328657"}, {"ref": "darshanroy03/training-notebook-of-ai-text-detection-final", "kernel_id": "63496278"}, {"ref": "hemanthhvv/detect-ai-generated-text", "kernel_id": "63006633"}, {"ref": "butterfly232/detect-ai-text", "kernel_id": "64186162"}, {"ref": "yangruiii/fork-of-ghost-1st", "kernel_id": "64496871"}, {"ref": "shahbodsobhkhiz/ai-detector-for-submission", "kernel_id": "64952328"}, {"ref": "shahbodsobhkhiz/detect-ai-generated-text-using-blstm-distilbert", "kernel_id": "64814284"}, {"ref": "supermarioss/ghost-1st-gltr", "kernel_id": "64856195"}, {"ref": "ansonanto97/notebook5c073621ac", "kernel_id": "65927350"}, {"ref": "yuvrajsingh2260/ai-generaated-text", "kernel_id": "65840745"}, {"ref": "pituchaimitpakdee/csc494-pm-daigt-mistral-7b-tpu-bfloat16-train", "kernel_id": "65893660"}, {"ref": "pituchaimitpakdee/csc349-pm-lstm-transformer-cnn-approach", "kernel_id": "65893779"}, {"ref": "kyawswarhein/csc494-ksh-daigt-mistral-7b-tpu-bfloat16-train", "kernel_id": "65893623"}, {"ref": "spoorthij27/shap-llm", "kernel_id": "65003670"}, {"ref": "defdet/llama-3-training-on-tpu", "kernel_id": "66521729"}, {"ref": "muazenzipe/llm-detect-ai-generated-text-competition", "kernel_id": "66485534"}, {"ref": "kyawswarhein/csc494-ksh-daigt-mistral-7b-tpu-bfloat16inference", "kernel_id": "66328891"}, {"ref": "anshulsohal/notebook6ab90806a0", "kernel_id": "66814006"}, {"ref": "thuongvan/dat-detect-ai-generated", "kernel_id": "66773261"}, {"ref": "yanasonsaksritrakun/notebook4ae2591935", "kernel_id": "66878024"}, {"ref": "abderaoufboudia/ashura-detect-ai-generated-text", "kernel_id": "69647743"}, {"ref": "terence888/llm-detect-ai-generated-bert", "kernel_id": "69788805"}, {"ref": "terence888/llm-detect-ai-generated-debert", "kernel_id": "69426620"}, {"ref": "sunshine888888/llm-detect-ai-generated-bert", "kernel_id": "69923190"}, {"ref": "gmarchetti/llama-2-13b-on-tpu", "kernel_id": "70032436"}, {"ref": "zphudzz/submit-lr", "kernel_id": "70263246"}, {"ref": "zphudzz/submit-bert", "kernel_id": "70289918"}, {"ref": "zphudzz/submit-xgb", "kernel_id": "70272271"}, {"ref": "zphudzz/submit-rf", "kernel_id": "70274306"}, {"ref": "zphudzz/submit-rnn", "kernel_id": "70280927"}, {"ref": "jindongxiao/coder-one2", "kernel_id": "70657925"}, {"ref": "terence888/llm-detect-ai-generated-bert-by-terence", "kernel_id": "70692472"}, {"ref": "sunshine888888/llm-detect-ai-generated-debert-by-sunshine", "kernel_id": "70076244"}, {"ref": "kuhaku0/daigt-deberta", "kernel_id": "71615135"}, {"ref": "cynthiawzy/train-detect-llm-generated-text-using-distilbert", "kernel_id": "71921804"}, {"ref": "va6lue/nlp-final-daigt-6nd-v2", "kernel_id": "71889710"}, {"ref": "danielddmenenedez/version-02", "kernel_id": "71957437"}, {"ref": "danielddmenenedez/version03-debert-lora", "kernel_id": "71959787"}, {"ref": "danielddmenenedez/version-01", "kernel_id": "71926814"}, {"ref": "dddmenendez/kaggle-ia-detection", "kernel_id": "71558811"}, {"ref": "hsuan744172/mistral7b-test-team38", "kernel_id": "71478578"}, {"ref": "sunshine888888/llm-detect-ai-generated-distilbert-by-sunshine", "kernel_id": "71015421"}, {"ref": "chengkai122887/notebook6724f7deca", "kernel_id": "71519339"}, {"ref": "chenglin0202/ai-transformer-cnn", "kernel_id": "71928681"}, {"ref": "cynthiawzy/infer-detect-llm-generated-text-using-distilbert", "kernel_id": "72077889"}, {"ref": "yulingfei/traing-5003-from-scratch", "kernel_id": "72365370"}, {"ref": "graymane/notebook-llm-detect", "kernel_id": "72335203"}, {"ref": "peggy2222/rank-6", "kernel_id": "72045531"}, {"ref": "victorprieto/dberta-tiny", "kernel_id": "72845571"}, {"ref": "uraychen/nlp-final-project-team18-by-uc", "kernel_id": "72475315"}, {"ref": "kwanallen/llm-text-detection-with-lstm-votingclassifier", "kernel_id": "72437946"}, {"ref": "danielddmenenedez/kaggle-ia-detection", "kernel_id": "72018340"}, {"ref": "yassinos123/classifier-a2yoh", "kernel_id": "72971842"}, {"ref": "zj1111/notebook27085fd77f", "kernel_id": "72189484"}, {"ref": "guangranzhang/dsaa5003automl", "kernel_id": "72321537"}, {"ref": "dddmenendez/ultima-oportunidad", "kernel_id": "72166204"}, {"ref": "barnakash/workshop-training", "kernel_id": "72969625"}, {"ref": "chenglin0202/lstm-transformer-cnn-branch", "kernel_id": "72158181"}, {"ref": "hsiangkaichuang/project", "kernel_id": "72432728"}, {"ref": "hsiangkaichuang/termproject", "kernel_id": "72397423"}, {"ref": "irishoo/coder-one2", "kernel_id": "72957375"}, {"ref": "chenliwei/nlp-term-project-94", "kernel_id": "73171029"}, {"ref": "cynthiawzy/final-version", "kernel_id": "73676592"}, {"ref": "luntseng/nlp-term-project-94", "kernel_id": "73075686"}, {"ref": "audreych23/coder-one2", "kernel_id": "73213325"}, {"ref": "kevinkarnadi/coder-one2-classification", "kernel_id": "73308493"}, {"ref": "kennethzhang31/mistral7b-dgait", "kernel_id": "73194215"}, {"ref": "xjin123/bloom-model", "kernel_id": "73408713"}, {"ref": "m124020045/dp-final", "kernel_id": "73147639"}, {"ref": "poweee/coder-one2-new-from-rank6", "kernel_id": "73462738"}, {"ref": "kennethzhang3103/mistral-7b", "kernel_id": "73581062"}, {"ref": "rajaakashyap/detect-ai-generated-text-starter-notebook", "kernel_id": "74134657"}, {"ref": "hyojunggenius/aisecurity", "kernel_id": "74579538"}, {"ref": "hyojunggenius/ai-security", "kernel_id": "74666796"}, {"ref": "albertsalles4/detect-ai-generated-text-svc-baseline", "kernel_id": "75612308"}, {"ref": "miguelcarburauto/late-submission-llm-detect-text", "kernel_id": "76486130"}, {"ref": "samshikineworldg/notebook526b60060b", "kernel_id": "77885216"}, {"ref": "jeremyt29280/notebookec9ad1d2e8", "kernel_id": "77886743"}, {"ref": "jeremyt29280/notebookbe1cd85aef", "kernel_id": "78845774"}, {"ref": "mouhamedsow1505/notebook2e09875e7d", "kernel_id": "78359070"}, {"ref": "barnakash/workshop-inference", "kernel_id": "78173783"}, {"ref": "bryceloui/detect-ai-project", "kernel_id": "79392210"}, {"ref": "jangwonik/forbc", "kernel_id": "79791501"}, {"ref": "yiluosjtut/detecting-ai-generated-text-with-bert-yl", "kernel_id": "79949615"}, {"ref": "sonia0822/02ai-train", "kernel_id": "79481348"}, {"ref": "haroon2223344567224/kerasnlp-llm-detect-ai-generate", "kernel_id": "80607195"}, {"ref": "barnakash/workshop-inference-2", "kernel_id": "80940167"}, {"ref": "redtide/dberta-tiny", "kernel_id": "80986037"}, {"ref": "gayathrikanumuri/distilbert-generated-dataset", "kernel_id": "81205440"}, {"ref": "irenez1105/dberta-tiny-e66584", "kernel_id": "81563506"}, {"ref": "irenez1105/notebook5e98acabf5", "kernel_id": "81574684"}, {"ref": "milkwort/ai-01qlx5", "kernel_id": "81410202"}, {"ref": "milkwort/ai-test2", "kernel_id": "81337269"}, {"ref": "weilunchang/nlpteam9", "kernel_id": "81663513"}, {"ref": "kanumuriravivarma99/detect-ai-projectravi", "kernel_id": "81404702"}, {"ref": "kanumuriravivarma99/g3sampleproj", "kernel_id": "81021187"}, {"ref": "sonia0822/ai-batch-size", "kernel_id": "81333561"}, {"ref": "sonia0822/ai-01qlx5", "kernel_id": "81364198"}, {"ref": "sonia0822/ai-epoch", "kernel_id": "81281063"}, {"ref": "sonia0822/ai-learn-rate-qlx", "kernel_id": "81214279"}, {"ref": "redtide/dberta-tiny-e66584", "kernel_id": "81416690"}, {"ref": "jmt9454/csc502-team-submission", "kernel_id": "81321477"}, {"ref": "mugishapacifique/ai-generated-text-detection", "kernel_id": "81988905"}, {"ref": "sheepggbond/dberta-tiny", "kernel_id": "81340219"}, {"ref": "ammarsabbah/llm-text-detection-with-lstm-votingclassifier", "kernel_id": "82375582"}, {"ref": "ammarsabbah/detecting-llm-final", "kernel_id": "82374098"}, {"ref": "ammarsabbah/detect-ai", "kernel_id": "82373273"}, {"ref": "wellkilo/vs-human-vs-machine-llm-text-face-off", "kernel_id": "82530500"}, {"ref": "promesser/ai-non-ai-essay-detector-nlp-promesse-rukundo", "kernel_id": "82102210"}, {"ref": "kimroyraphael/roy-s-test", "kernel_id": "82000634"}, {"ref": "changlitang/daigt-2nd-place", "kernel_id": "83430473"}, {"ref": "harshitjais14/bert-classifier", "kernel_id": "83965379"}, {"ref": "harshitjais14/bert-pretrainingdetector", "kernel_id": "83973736"}, {"ref": "annavardazaryan02/notebookeacd6724c9", "kernel_id": "84031896"}, {"ref": "amanyahmedmhran/nlpaplication", "kernel_id": "85088863"}, {"ref": "banssal/llm-detect-ai-text", "kernel_id": "85330569"}, {"ref": "banssal/with-nlpaug-explained-llm-model", "kernel_id": "85598852"}, {"ref": "banssal/efficiency-lb-1st-place-solution", "kernel_id": "85599430"}, {"ref": "resmont/detect-ai-generated-text-tinybert", "kernel_id": "86482307"}, {"ref": "angeyin/notebook782b929a64", "kernel_id": "87334947"}, {"ref": "jasminemohamed2545/detecting-ai-text-98-svm-nn-full-ml-guide", "kernel_id": "91511355"}, {"ref": "jasminemohamed2545/detecting-ai-text-svm-nn-full-ml-guide", "kernel_id": "92084096"}, {"ref": "mdferozahmedafm/detecting-ai-generated-text-truth-or-machine", "kernel_id": "96108815"}, {"ref": "mudassirabbassi/llm-detect-ai-generated-text", "kernel_id": "97042957"}, {"ref": "premkrgupta/ai-vs-human-text-svm-nn", "kernel_id": "97638797"}, {"ref": "premkrgupta/xgboost-latest-new-text", "kernel_id": "97646497"}, {"ref": "shemskurtoglu/mercor-starter", "kernel_id": "98297203"}, {"ref": "mrinmoymaji/kerasnlp-starter-notebook-llm-detect-ai-generate", "kernel_id": "102176419"}, {"ref": "khoakaggle/detected-ai-writing-dl-ensembleml", "kernel_id": "103017810"}, {"ref": "positivealexey/llm-detect-13th-gold-solution-test", "kernel_id": "103837163"}, {"ref": "yashpalthakor/why-accuracy-fails-ai-text-detection-with-pytorch", "kernel_id": "104864387"}, {"ref": "jishnuks17/detect-fake-text-kerasnlp-tf-torch-jax-train", "kernel_id": "109757746"}, {"ref": "timofeisoloshchenko/ai-detector", "kernel_id": "112041119"}, {"ref": "gikundirouwasebelyse/detect-ai-generated-text", "kernel_id": "115600402"}, {"ref": "jnlouis/llm-detect-ai-generated-text", "kernel_id": "115597081"}, {"ref": "ntwarismithodrick/ensemble-solution", "kernel_id": "115598408"}, {"ref": "mdabdulalhasib/nlp-practise", "kernel_id": "116081901"}, {"ref": "fundanurztrk/notebook3d6a0584d5", "kernel_id": "117932311"}, {"ref": "kazuto114/llm-detect-ai-generated-text", "kernel_id": "118461928"}, {"ref": "phnganhchuth/reproduce-full-top", "kernel_id": "122296886"}, {"ref": "ashar7777/ai-text-detector", "kernel_id": "126776171"}, {"ref": "chaitanyajamble/dbert-v3-deberta-v3-small-ai-generated-text-detect", "kernel_id": "129761691"}]}
{"competition_id": "61554", "kernels": []}
{"competition_id": "61607", "kernels": [{"ref": "jamesfarrant/kerasnb", "kernel_id": "50124080"}]}
{"competition_id": "61609", "kernels": []}
{"competition_id": "61611", "kernels": [{"ref": "yunsuxiaozi/2023predict-of-electric-power-eda-baseline", "kernel_id": "43813611"}]}
{"competition_id": "61649", "kernels": []}
{"competition_id": "61656", "kernels": [{"ref": "kokilk/assignment-1", "kernel_id": "45139368"}]}
{"competition_id": "61689", "kernels": [{"ref": "danipipe777/af-ii-2023-ii-object-localization", "kernel_id": "43879653"}, {"ref": "marlyruiz/trabajo-final-fundamentos-marly-y-alexander", "kernel_id": "45439454"}]}
{"competition_id": "61693", "kernels": []}
{"competition_id": "61696", "kernels": []}
{"competition_id": "61755", "kernels": [{"ref": "jasontarzan/crops-classification-dummy-notebook", "kernel_id": "43953291"}]}
{"competition_id": "61762", "kernels": []}
{"competition_id": "61792", "kernels": []}
{"competition_id": "61798", "kernels": [{"ref": "kkhandekar/egg-sales-sri-lanka-sarima-forecast", "kernel_id": "44678945"}, {"ref": "alvinleenh/egg-sales-prediction-eda-xgb", "kernel_id": "44614550"}, {"ref": "alvinleenh/5th-solution-egg-forecast-challenge-with-lr-xgb", "kernel_id": "44889801"}, {"ref": "utkrishtdutta/egg-sales-pred-xgboost", "kernel_id": "44605873"}, {"ref": "rohitssingh/egg-price-prediction", "kernel_id": "45022982"}, {"ref": "rohitssingh/egg-price-forecast", "kernel_id": "45517438"}, {"ref": "jeremyg8/egg-challenge-meta-prophet", "kernel_id": "45881101"}, {"ref": "shadeer/egg-price-prediction", "kernel_id": "45269832"}, {"ref": "shadeer/rmregressor", "kernel_id": "45313264"}]}
{"competition_id": "61848", "kernels": []}
{"competition_id": "61852", "kernels": []}
{"competition_id": "61856", "kernels": [{"ref": "nilaykamat03/ml-project-2", "kernel_id": "47577401"}, {"ref": "radugajdos/baseline", "kernel_id": "57300508"}, {"ref": "radugajdos/better", "kernel_id": "58422756"}]}
{"competition_id": "61908", "kernels": []}
{"competition_id": "61932", "kernels": []}
{"competition_id": "61938", "kernels": [{"ref": "palash2022mt12133/notebookcb52c9c874", "kernel_id": "45774497"}, {"ref": "nishant2022mt12192/6-nov-notebook", "kernel_id": "45010680"}, {"ref": "raghuvaryas/notebook51473447a0", "kernel_id": "45952074"}, {"ref": "sarath2022mt13096/notebook1bd776a579", "kernel_id": "46733121"}, {"ref": "najatelmrabet/notebook27a3064107", "kernel_id": "48584843"}, {"ref": "abirbeneich/notebook27a3064107", "kernel_id": "49055715"}, {"ref": "wiamelberrari/notebook27a3064107", "kernel_id": "49736292"}, {"ref": "soumayatayoub/notebook27a3064107-60c073", "kernel_id": "49737387"}, {"ref": "achrafzarouki/notebook27a3064107", "kernel_id": "49051401"}, {"ref": "soumayatayoub/notebook9a8e68ab17", "kernel_id": "50461031"}, {"ref": "achrafzarouki/notebook9a8e68ab17", "kernel_id": "50465960"}, {"ref": "ismailizakariae/dog-breed-identification-training-and-evaluation", "kernel_id": "50505076"}, {"ref": "vedantbhageria/notebookd8816c59ab", "kernel_id": "108448349"}]}
{"competition_id": "61943", "kernels": []}
{"competition_id": "61954", "kernels": [{"ref": "mpwolke/bengali-text-to-ipa", "kernel_id": "44971665"}, {"ref": "umongsain/bangla-text-to-ipa-eda-training-inference", "kernel_id": "44536459"}, {"ref": "umongsain/training-notebook", "kernel_id": "44195451"}, {"ref": "umongsain/inference-notebook", "kernel_id": "44209746"}, {"ref": "abdullahsaihan/bangla-text-to-ipa-transcription", "kernel_id": "44717128"}, {"ref": "mdzisun/phantom-training-notebook", "kernel_id": "44723046"}, {"ref": "sheikhsohelmoon/bangla-text-to-ipa-manual-edit-of-mapping", "kernel_id": "44680270"}, {"ref": "abdullaharean/inference-notebook", "kernel_id": "45564459"}, {"ref": "abdullaharean/training-notebook", "kernel_id": "45564070"}, {"ref": "abdullaharean/bangla-numerals-to-text", "kernel_id": "45075931"}, {"ref": "mdzisun/phantom-inference-notebook", "kernel_id": "45061201"}, {"ref": "niazmohaimanabtahi/elemenopi-inference-notebook", "kernel_id": "45541280"}, {"ref": "niazmohaimanabtahi/elemenopi-training-notebook", "kernel_id": "45540879"}, {"ref": "ishtiukahammed/bengali-to-ipa-translation", "kernel_id": "45344819"}, {"ref": "qoobeeshy/bengali-number-to-word", "kernel_id": "45025018"}, {"ref": "jakir57/phoneme-training-notebook", "kernel_id": "45216852"}, {"ref": "jakir57/phoneme-inference-notebook", "kernel_id": "45351282"}, {"ref": "mushfiqurrahmangalib/neural-linguists-training-notebook", "kernel_id": "45491831"}, {"ref": "mushfiqurrahmangalib/neural-linguists-inference-notebook", "kernel_id": "45490501"}, {"ref": "qoobeeshy/dv-eda", "kernel_id": "49366729"}, {"ref": "sadiaahmmed1709/bhashamul-team-apocalypse-training", "kernel_id": "50983495"}, {"ref": "abrarjahinniloy/byte-t5-training-on-dataverse", "kernel_id": "51073995"}, {"ref": "smjishanulislam/bhashamul-team-apocalypse-inference-notebook", "kernel_id": "51471300"}, {"ref": "sibgatulislam/byt5-ben-to-ipa", "kernel_id": "51419113"}, {"ref": "sadib2506/bengali-ipa-to-audio-model-0", "kernel_id": "52786798"}, {"ref": "tanbeerjubaer/oshin-thesis-2-0", "kernel_id": "73490439"}, {"ref": "imsajid/speech-text-ipa", "kernel_id": "82760010"}]}
{"competition_id": "61975", "kernels": []}
{"competition_id": "61980", "kernels": []}
{"competition_id": "62008", "kernels": [{"ref": "robertminarik/vanilla-model-neospectra", "kernel_id": "44289959"}, {"ref": "davidschurman/dschurman-nir-notebook", "kernel_id": "44993593"}, {"ref": "daoruihan/notebook-soil-nir", "kernel_id": "45267046"}, {"ref": "zecojls/ossl-modeling-framework-nir", "kernel_id": "46212529"}, {"ref": "minal23/notebook6dd00e9200", "kernel_id": "99114325"}]}
{"competition_id": "62014", "kernels": [{"ref": "zecojls/basic-plsr", "kernel_id": "44094617"}, {"ref": "lizardoreyna/exploratory-analysis", "kernel_id": "44353843"}, {"ref": "henningteickner/ss4gg-clay", "kernel_id": "44919306"}, {"ref": "sharadgupta27/ss4gg-mir-soilanalyzers", "kernel_id": "45493765"}, {"ref": "zecojls/ossl-modeling-framework", "kernel_id": "46196364"}, {"ref": "rezayosefvand/ss4gg-spectroscopy", "kernel_id": "60172447"}]}
{"competition_id": "62048", "kernels": []}
{"competition_id": "62057", "kernels": [{"ref": "jeffheaton/starter-cnn-chatgpt", "kernel_id": "44141945"}, {"ref": "adelinmil/beginner-friendly-tensorflow-resnet50", "kernel_id": "45351061"}, {"ref": "anhhkiu/competition-is-the-model-wearing-glasses-or-not", "kernel_id": "56740036"}, {"ref": "abdullatifkaban/glass-detection", "kernel_id": "58272233"}, {"ref": "drmurataltun/ai-glass-detection", "kernel_id": "60750838"}, {"ref": "senasudemir/glass-detection", "kernel_id": "76714165"}, {"ref": "mesutbagl/applications-of-deep-learning", "kernel_id": "79390473"}, {"ref": "penbenur/glasses-detection", "kernel_id": "80231248"}, {"ref": "ugurcan95/glass-detection", "kernel_id": "81298228"}, {"ref": "bilgingunes/computer-vision-is-the-model-wearing-glasses", "kernel_id": "85140836"}]}
{"competition_id": "62084", "kernels": [{"ref": "wordcards/eda-categorical-features", "kernel_id": "44298826"}, {"ref": "wordcards/cv-with-logo", "kernel_id": "44912270"}, {"ref": "sa4444/prediction-of-tourist-arrivals", "kernel_id": "44525896"}, {"ref": "kentak0928/host-baseline-lightgbm-prediction-tourist-arrival", "kernel_id": "44160956"}, {"ref": "kentak0928/host-quick-eda-1-0-prediction-tourist-arrival", "kernel_id": "44163703"}, {"ref": "yunsuxiaozi/predict-tourist-arrivals-optuna-lightgbm", "kernel_id": "44732920"}, {"ref": "yunsuxiaozi/predict-touristarrival-lightgbm", "kernel_id": "44979981"}, {"ref": "airk0126/lightgbm-optuna", "kernel_id": "45185849"}, {"ref": "keishibata/tourist-arrivals-initial-eda", "kernel_id": "45343248"}, {"ref": "anasalshiekhbakri/catboost-with-feature-engineering", "kernel_id": "45060788"}, {"ref": "wordcards/eda-numerical-features", "kernel_id": "46255633"}, {"ref": "hidemasatonda/231120-lightgbm", "kernel_id": "46349004"}, {"ref": "hidemasatonda/231128-lightgbm-ver0-3", "kernel_id": "46965950"}, {"ref": "dolphine11/feature-engineering-and-cv", "kernel_id": "46752196"}, {"ref": "keishibata/tourist-arrivals-feature-engineering", "kernel_id": "46064508"}, {"ref": "yunsuxiaozi/predict-touristarrival-lightautoml", "kernel_id": "46593506"}, {"ref": "ooommmsss/lightgbm-modeling-baseline", "kernel_id": "46130723"}, {"ref": "u7cm9jnz/lightgbm-feature-engineering-and-cv", "kernel_id": "46474996"}, {"ref": "airk0126/refactor-quick-eda-1-0-prediction-tourist-arrival", "kernel_id": "47133271"}, {"ref": "wordcards/kfold-or-logo", "kernel_id": "47998151"}, {"ref": "risakashiwabara/easy-data-visualization-eda", "kernel_id": "47381963"}, {"ref": "nobushoshin/eda-duplicates-visualizations", "kernel_id": "47967110"}, {"ref": "hidemasatonda/231202-4model-ensemble-ver0-2", "kernel_id": "47016777"}]}
{"competition_id": "62121", "kernels": [{"ref": "tanguyesteoule/ensimag-wpf", "kernel_id": "44281040"}, {"ref": "lonnieqin/wind-power-forecasting-with-lstm", "kernel_id": "45264286"}, {"ref": "ucas0v0zhuoqunli/ml-baseline-structured-data", "kernel_id": "45222408"}, {"ref": "ucas0v0zhuoqunli/dl-baseline-timeseries-data", "kernel_id": "45224970"}]}
{"competition_id": "62140", "kernels": [{"ref": "marcosmvp/data-analysis-marcos-vp", "kernel_id": "44425981"}]}
{"competition_id": "62262", "kernels": []}
{"competition_id": "62278", "kernels": [{"ref": "mawro73/good-classification-notebook", "kernel_id": "44882901"}]}
{"competition_id": "62363", "kernels": []}
{"competition_id": "62387", "kernels": [{"ref": "mustafasamy/house-prices-with-pipeline-automated-preprocessing", "kernel_id": "48523199"}, {"ref": "mdladla/jan-28-regression-notebook", "kernel_id": "50098672"}]}
{"competition_id": "62444", "kernels": [{"ref": "suplash/sentiment-analysis-nlp-accuracy-83", "kernel_id": "45552741"}]}
{"competition_id": "62467", "kernels": [{"ref": "mawro73/regression-notebook-for-dummies", "kernel_id": "44882498"}, {"ref": "aisocuos/getting-started-linear-regression", "kernel_id": "44574123"}]}
{"competition_id": "62483", "kernels": [{"ref": "e1010101/it1244-brain-tumor-dataset", "kernel_id": "44600374"}, {"ref": "e1010101/it1244-brain-tumor-dataset-custom-model", "kernel_id": "44678948"}, {"ref": "ankandebnath/it1244-brain-tumor-dataset", "kernel_id": "62963873"}, {"ref": "csaraugustoruizparra/unetmodel", "kernel_id": "72238020"}, {"ref": "eldintarofarrandi/brain-tumor-classification-w-googlenet-0-95744", "kernel_id": "75389591"}]}
{"competition_id": "62494", "kernels": [{"ref": "deshuiyu/bupt-dmt-2023-02", "kernel_id": "44644566"}]}
{"competition_id": "62495", "kernels": []}
{"competition_id": "62552", "kernels": []}
{"competition_id": "62583", "kernels": [{"ref": "njack22/mine-the-model-2023-baseline-notebook", "kernel_id": "45452938"}, {"ref": "njack22/reference-notebook-for-mine-the-model-2023", "kernel_id": "45451146"}, {"ref": "chaitanyajha07/mtm-kaggle-2", "kernel_id": "45522104"}, {"ref": "chaitanyajha07/mtm-kaggle-1", "kernel_id": "45569829"}, {"ref": "wrebelz/mininga", "kernel_id": "45679220"}, {"ref": "invincible13/notebook3125ca79d1", "kernel_id": "45412694"}, {"ref": "vaidehibhat/linearregressionvb", "kernel_id": "45754848"}, {"ref": "guruprasathsl/notebookfe1c199529", "kernel_id": "45757940"}, {"ref": "saiabhilashdash/notebookab7358baa3", "kernel_id": "45687697"}, {"ref": "chanakyacherukumalli/least-error", "kernel_id": "45637772"}, {"ref": "nanipanyu/the-nanians", "kernel_id": "46014926"}, {"ref": "varadpendse/perfectlatesubmit1-0vc", "kernel_id": "47043075"}, {"ref": "hongvnphi/stock-price-prediction", "kernel_id": "49082356"}, {"ref": "sornas6/stock-predictor", "kernel_id": "69838389"}]}
{"competition_id": "62598", "kernels": []}
{"competition_id": "62658", "kernels": []}
{"competition_id": "62679", "kernels": []}
{"competition_id": "62741", "kernels": [{"ref": "emmanuelndayisaba/speech-recognition-transformer", "kernel_id": "47066964"}]}
{"competition_id": "62742", "kernels": []}
{"competition_id": "62744", "kernels": []}
{"competition_id": "62752", "kernels": [{"ref": "abdelrahmanalimo/heart-attack", "kernel_id": "44915339"}, {"ref": "guanlintao/voting-stacking-heart-attack-risk", "kernel_id": "44875519"}, {"ref": "e1010101/heart-attack-prediction-starter-notebook", "kernel_id": "44829608"}, {"ref": "e1010101/heart-attack-prediction-simple-solution", "kernel_id": "44854205"}, {"ref": "mariyamalshatta/heart-attack-risk-analysis-competition", "kernel_id": "44945498"}, {"ref": "burakceylan/notebookc0677af68f", "kernel_id": "50226204"}, {"ref": "mahendra301/heart-attack-risk-predict", "kernel_id": "50657536"}, {"ref": "abuchionwuegbusi/heart-attack-risk-analysis-and-prediction", "kernel_id": "53999951"}, {"ref": "thibautjuill/heart-attack-analysis", "kernel_id": "55366994"}, {"ref": "saroya/saroya-ornelas-pagnucci-heart-attack-risk", "kernel_id": "56100662"}, {"ref": "ruchikarani/heart-attack-risk-prediction", "kernel_id": "59929185"}, {"ref": "abdullah0a/heart-attack-risk-predictive-analysis", "kernel_id": "59667776"}, {"ref": "mansoorahmad4477/heart-risk-prediction", "kernel_id": "64663685"}, {"ref": "cindysun1111/learn-heart-analysis-attack", "kernel_id": "64938255"}, {"ref": "emin1n/heartattack-risk-analysis", "kernel_id": "64336696"}, {"ref": "mahmoudweso/heart-attack-risk", "kernel_id": "65236678"}, {"ref": "ibrahimislamshanta/notebook807b954356", "kernel_id": "80989179"}, {"ref": "giang13/cup-20epoch", "kernel_id": "107587155"}]}
{"competition_id": "62785", "kernels": [{"ref": "resalat/resalat-time-series-forecasting", "kernel_id": "45792667"}, {"ref": "yasheesahai/yashee-time-series-v6", "kernel_id": "45792633"}, {"ref": "prashantsharma0106/timeseries-analysis-ps", "kernel_id": "45806253"}, {"ref": "darshankulkarni3008/darshan-k-time-series", "kernel_id": "45677983"}, {"ref": "ankushpaul1356/ankush-time-series-forecasting", "kernel_id": "45752372"}, {"ref": "ankushpaul1356/ankush2-timeseries", "kernel_id": "45753319"}, {"ref": "rishabh85/notebook75c7a6fb88", "kernel_id": "45751567"}, {"ref": "ankitkrtomar/ankit-time-series", "kernel_id": "45787510"}, {"ref": "chetanpowar/notebook24d1b32b79", "kernel_id": "45615511"}, {"ref": "dipanwitachakrabarty/ipba-17-dips", "kernel_id": "45751304"}, {"ref": "dillipmeher/notebook-dillip-timeseries-analysis", "kernel_id": "45609796"}, {"ref": "shraddhaakhanna05/shraddhaa-khanna-time-series-forecasting", "kernel_id": "45717138"}, {"ref": "sukeshbondada/sukesh-time-series-forecasting", "kernel_id": "45755393"}, {"ref": "swetadixit/swetadixit-2", "kernel_id": "45737152"}, {"ref": "praphullkumarjain/notebook51ca078533", "kernel_id": "45541040"}, {"ref": "nikhildhania/nikhil-dhania-timeseries-analysis", "kernel_id": "45798917"}, {"ref": "rishika11/time-series-forecasting-rishika-ghosh", "kernel_id": "45813158"}, {"ref": "pawaspritam/pawas-pritam-time-series-assignment", "kernel_id": "45818849"}, {"ref": "anchitasingh266/notebookb3ee9db87a", "kernel_id": "45821794"}, {"ref": "devanshkapur/timeseriesanalysis-devansh", "kernel_id": "45779947"}, {"ref": "ashwinibandal/notebook19914988c7", "kernel_id": "45801506"}, {"ref": "srushtipatidar/time-series-forecast", "kernel_id": "45720212"}, {"ref": "manojkrishnamk/notebook55ec4163ed", "kernel_id": "45757663"}, {"ref": "swarajdora/swaraj-timeseries-analysis", "kernel_id": "45774987"}, {"ref": "rishav0602/rishav-chatterjee-time-series-analysis", "kernel_id": "45787847"}, {"ref": "ammyashutosh/time-series-assignment", "kernel_id": "45749898"}, {"ref": "akanksharmaa/time-series-akanksha-ipba-17", "kernel_id": "45782411"}, {"ref": "priyanaruka/ipba-17-time-series-forecasting-png-final", "kernel_id": "45717208"}, {"ref": "shivangisaxena05/shivangi-time-series-forecasting", "kernel_id": "45702422"}, {"ref": "priyankasharma2206/timeseriesassignment-priyankas", "kernel_id": "45828347"}, {"ref": "neelimagendle/neelimag", "kernel_id": "45790894"}, {"ref": "shashank0shukla/shashank-time-series", "kernel_id": "45821261"}, {"ref": "drishtigrover12/drishti-notebook-timeseries", "kernel_id": "45828568"}, {"ref": "soumili02/soumili-time-series-analysis", "kernel_id": "45805703"}, {"ref": "rohinee1310/rohinee-assignment2", "kernel_id": "45818048"}, {"ref": "radhika125/ipba-time-series-radhika", "kernel_id": "45817155"}, {"ref": "shivanirohra/shivani-time-series-analysis", "kernel_id": "45814167"}, {"ref": "drv007/dhruv-time-series-analysis", "kernel_id": "45805957"}]}
{"competition_id": "62799", "kernels": [{"ref": "sawrose12/bad-wine-vs-good-wine", "kernel_id": "45011309"}, {"ref": "m000sey/wine-eda-w-model-baseline", "kernel_id": "45024552"}]}
{"competition_id": "62805", "kernels": [{"ref": "mob2711/mlapproach", "kernel_id": "49106964"}, {"ref": "kanaluvu/dsaa-6100", "kernel_id": "49138649"}, {"ref": "longtrthisn/xlnet-dsaa-6100", "kernel_id": "49578925"}, {"ref": "longtrthisn/distilbert-dsaa-6100", "kernel_id": "49564370"}, {"ref": "vtrhieu/gamma-entrance", "kernel_id": "49078576"}, {"ref": "lanhlan/dsaa-6100-movie-review-distilbert", "kernel_id": "49390215"}, {"ref": "lanhlan/dsaa-6100-movie-review-lsg-distilbert-base-uncased", "kernel_id": "49304857"}, {"ref": "letien41/predict", "kernel_id": "49568159"}, {"ref": "freedino/distilbert-approach", "kernel_id": "49142466"}, {"ref": "hotuminh/approach-1-ho-tu-minh", "kernel_id": "49425148"}]}
{"competition_id": "62814", "kernels": []}
{"competition_id": "62839", "kernels": []}
{"competition_id": "62881", "kernels": []}
{"competition_id": "62883", "kernels": []}
{"competition_id": "62884", "kernels": []}
{"competition_id": "62885", "kernels": []}
{"competition_id": "62893", "kernels": []}
{"competition_id": "62896", "kernels": []}
{"competition_id": "62898", "kernels": [{"ref": "sajjadbalgheh/dsaa-6100-large-language-model-fine-tuning", "kernel_id": "66593636"}, {"ref": "moaazreda/dsaa-finetunning", "kernel_id": "105990071"}]}
{"competition_id": "62904", "kernels": [{"ref": "vedant2003pandey/pilot-auto-encoders", "kernel_id": "45532676"}, {"ref": "utkarsh1236/regression-task", "kernel_id": "45697613"}, {"ref": "sidop234/basic1", "kernel_id": "45607162"}, {"ref": "sidop234/enough-feat-eng", "kernel_id": "45723821"}, {"ref": "abhishekrajeshmistry/notebook32388e8765", "kernel_id": "45642949"}, {"ref": "khanakpatwari/ps1-pilot", "kernel_id": "46585952"}, {"ref": "hrithiman/8bitguys-final-notebook-rmse-7-91", "kernel_id": "46178959"}, {"ref": "priyanshagrawal9893/final-submision", "kernel_id": "46708615"}, {"ref": "redder02/notebookb4179f64d7", "kernel_id": "46550741"}, {"ref": "eleenasarahmathew/notebookecf054d64a", "kernel_id": "46580414"}, {"ref": "shaurya410/pilot", "kernel_id": "46146512"}, {"ref": "vaibhav05kansal/pilot", "kernel_id": "46124946"}]}
{"competition_id": "62905", "kernels": []}
{"competition_id": "62906", "kernels": []}
{"competition_id": "62907", "kernels": []}
{"competition_id": "62912", "kernels": [{"ref": "sulemanmirza/faceclass", "kernel_id": "46258763"}]}
{"competition_id": "62925", "kernels": []}
{"competition_id": "62928", "kernels": [{"ref": "lordzh/bact-session-test", "kernel_id": "45120160"}, {"ref": "e1010101/housing-price-dataset-starter-notebook", "kernel_id": "45006788"}, {"ref": "e1010101/housing-price-dataset-simple-solution", "kernel_id": "45005660"}, {"ref": "lizasareen/univariate-analysis-eda-on-simple-housing-price", "kernel_id": "58904764"}, {"ref": "lizasareen/practical-data-visualization-of-housing-prices", "kernel_id": "61503529"}, {"ref": "metinaktas/simple-house", "kernel_id": "65968532"}, {"ref": "harshahalpara/randomforest-and-data-cleaning", "kernel_id": "90319557"}]}
{"competition_id": "62959", "kernels": [{"ref": "kyrian330/simple-code-to-understand-cross-validation", "kernel_id": "84907802"}]}
{"competition_id": "63018", "kernels": []}
{"competition_id": "63021", "kernels": [{"ref": "lucamassaron/blending-4-h2o-hackaton", "kernel_id": "45764662"}, {"ref": "lucamassaron/logprobability-llama-7b", "kernel_id": "45522728"}, {"ref": "lucamassaron/xgboost-lightgbm-catboost", "kernel_id": "45629516"}, {"ref": "lucamassaron/classical-ml", "kernel_id": "45211817"}, {"ref": "lucamassaron/hf-model", "kernel_id": "45230863"}, {"ref": "phanisrikanth/2nd-place-solution-decoder-inference", "kernel_id": "45766819"}, {"ref": "phanisrikanth/beating-the-benchmark-top-10-solution", "kernel_id": "45596680"}, {"ref": "phanisrikanth/cluster-explore-data", "kernel_id": "45219981"}, {"ref": "rashmibanthia/h2o-ai-predict-llm-inference", "kernel_id": "45770822"}, {"ref": "rushali2406/14th-place-ensemble-distilroberta-base-mistral7b", "kernel_id": "45848904"}, {"ref": "rushali2406/predict-llm-sentence-embeddings-k-fold-cv", "kernel_id": "45147922"}, {"ref": "khahuras/2nd-place-solution", "kernel_id": "45979169"}, {"ref": "samu2505/llm-detection-debertav2-training", "kernel_id": "45189790"}, {"ref": "chetan8007/beginner-multi-models-using-chatgpt", "kernel_id": "45296106"}, {"ref": "sitrakamatthew/trying-countvectorizer-xgb-baseline", "kernel_id": "45689589"}, {"ref": "archanghosh/quantized-mistral-7b-approach", "kernel_id": "45726706"}, {"ref": "shreydan/seq-classification-baseline", "kernel_id": "45302369"}, {"ref": "warcoder/countvectorizer-xgb-baseline", "kernel_id": "45095909"}, {"ref": "arunimbasak/distilbert-base-uncased-transformer-xgb-code", "kernel_id": "45148089"}, {"ref": "arunimbasak/further-approaches", "kernel_id": "45118004"}, {"ref": "ihebch/h2o-ai-predict-the-llm-deberta-v3-large", "kernel_id": "45804075"}, {"ref": "ihebch/h2o-ai-predict-the-llm-zephyr-7b-quantized-lora", "kernel_id": "45804677"}, {"ref": "ihebch/h2o-ai-predict-the-llm-mistral-7b-quantized-lora", "kernel_id": "45804468"}, {"ref": "ihebch/h2o-ai-predict-the-llm-2nd-stage-stacking-model", "kernel_id": "45812599"}, {"ref": "mustafakeser4/basic-eda", "kernel_id": "45122703"}, {"ref": "mustafakeser4/transformers-distilbert-baseline", "kernel_id": "45127707"}, {"ref": "mustafakeser4/w-b-1-basic-eda", "kernel_id": "45196663"}, {"ref": "mustafakeser4/w-b-02-transformers-distilbert-split-n-baseline", "kernel_id": "45202011"}, {"ref": "mustafakeser4/w-b-03-refactor", "kernel_id": "45206916"}, {"ref": "mustafakeser4/transformers-kfold-distilroberta-base", "kernel_id": "45302075"}, {"ref": "mustafakeser4/w-b-04-retrain", "kernel_id": "45924458"}, {"ref": "aakashvjain/classification-comparison-with-scikit-learn", "kernel_id": "45122444"}, {"ref": "chetanbharambe/classification-predict-llm-h20", "kernel_id": "45226280"}, {"ref": "guanlintao/eda-blending-h2o-ai-predict-the-llm", "kernel_id": "45620688"}, {"ref": "mustafakeser4/labelling-detect-ai-interactive-labelling-tool", "kernel_id": "48726121"}, {"ref": "mustafakeser4/train-detectai-distilroberta-0-927", "kernel_id": "48928834"}, {"ref": "gauravbrills/train-detectai-bert-deberta-distil", "kernel_id": "49025740"}, {"ref": "tonymarkchris/train-detectai-deberta", "kernel_id": "50469004"}, {"ref": "chenliwei/nlp-term-project-94", "kernel_id": "73171029"}]}
{"competition_id": "63054", "kernels": [{"ref": "vedant2003pandey/detective-bondman-auto-encoders", "kernel_id": "45547241"}, {"ref": "yannchikk/anya-gojo-revival-train-infern", "kernel_id": "45801453"}, {"ref": "yannchikk/anya-gojo-revival-first-look", "kernel_id": "45792040"}, {"ref": "kleekev/credit-fraud-detection", "kernel_id": "45653556"}, {"ref": "sahaj96/domain-expansion-detective-bondman", "kernel_id": "46578281"}, {"ref": "khanakpatwari/ps2-bondman-classification-kaggleknights", "kernel_id": "46146913"}, {"ref": "yash3930/notebook9bffc9577c", "kernel_id": "46577622"}, {"ref": "shaurya410/bondman", "kernel_id": "46148490"}]}
{"competition_id": "63056", "kernels": [{"ref": "lmthnhduy/clahe-augmentation-ranzcr-comp", "kernel_id": "52114034"}, {"ref": "inversion/isic-2024-efficiency-lb", "kernel_id": "60878299"}, {"ref": "fieumich/skin-cancer-detection-cnn-img-csv", "kernel_id": "61382500"}, {"ref": "hengck23/resnet18-ch3-rgb-00", "kernel_id": "61634978"}, {"ref": "hengck23/resnet18-ch16-00", "kernel_id": "61590055"}, {"ref": "bguberfain/patient-shadows", "kernel_id": "61301131"}, {"ref": "bguberfain/naive-lightgbm", "kernel_id": "61129453"}, {"ref": "shiyili/isic-svr-starter", "kernel_id": "61698018"}, {"ref": "shiyili/lgbm-baseline-with-new-features-polars-version", "kernel_id": "61418990"}, {"ref": "snnclsr/lgbm-baseline-with-new-features", "kernel_id": "61301613"}, {"ref": "snnclsr/analysis-of-metadata-and-skin-images", "kernel_id": "61254808"}, {"ref": "snnclsr/tabular-ensemble-lgbm-catboost", "kernel_id": "61493548"}, {"ref": "snnclsr/image-augmentations-from-winning-solutions", "kernel_id": "61554580"}, {"ref": "nnjjpp/isic24-using-the-metric", "kernel_id": "61573349"}, {"ref": "hengzheng/isic-extract-image-feature", "kernel_id": "61348337"}, {"ref": "docxian/isic-2024-skin-cancer-first-glance", "kernel_id": "61073037"}, {"ref": "mgijon/analysis-metadata-train", "kernel_id": "61781422"}, {"ref": "delai50/00-baseline", "kernel_id": "61882977"}, {"ref": "sonujha090/isic-2024-skin-cancer-detection-inference", "kernel_id": "61925564"}, {"ref": "dschettler8845/isic-detect-skin-cancer-let-s-learn-together", "kernel_id": "61238145"}, {"ref": "raffelsbem98/isic-data-splitting", "kernel_id": "61709235"}, {"ref": "raffelsbem98/isic-xgboost-baseline", "kernel_id": "61715127"}, {"ref": "raffelsbem98/isic-exploration", "kernel_id": "61310028"}, {"ref": "samu2505/isic-pytorchmodel-training", "kernel_id": "61451341"}, {"ref": "samu2505/isic-wandbmodelcheckpoints-crossvalidation", "kernel_id": "61570758"}, {"ref": "samu2505/isic-effnetb3-inference", "kernel_id": "61571543"}, {"ref": "yuhaya9/simple-and-short-lgbm-baseline", "kernel_id": "61966286"}, {"ref": "aruparna/skin-cancer-detection", "kernel_id": "61503747"}, {"ref": "pastorsoto/submission-notebook-skin-cancer", "kernel_id": "61314740"}, {"ref": "coderinunderpants/isic-2024-skin-cancer-getting-started", "kernel_id": "61886147"}, {"ref": "stpeteishii/skin-cancer-pca-lgbm-importance", "kernel_id": "61716704"}, {"ref": "stpeteishii/skin-cancer-image-pca-lazy-classifier", "kernel_id": "61673482"}, {"ref": "stpeteishii/skin-cancer-image-pca-lazy-regressor", "kernel_id": "61673486"}, {"ref": "ahsuna123/basic-eda", "kernel_id": "61067748"}, {"ref": "ctandrewtran/skincancer-basic-bag", "kernel_id": "61515298"}, {"ref": "mpwolke/isic-2024-skin-cancer-detection-hdf5", "kernel_id": "61078698"}, {"ref": "harriwashere/pca-tsne-dbscan-feature-engineering-ideas", "kernel_id": "61640810"}, {"ref": "allegich/isic-2024-skin-cancer-detection-starter-eda", "kernel_id": "61319404"}, {"ref": "edomingo/isic-24-scd-pytorch-simple-cnn-submission", "kernel_id": "61219578"}, {"ref": "awsaf49/isic2024-kerascv-starter", "kernel_id": "61111745"}, {"ref": "awsaf49/isic-2024-notebook-share-issue", "kernel_id": "61384429"}, {"ref": "yuto16/isic2024-eda-dimensionality-reduction", "kernel_id": "61302797"}, {"ref": "yuto16/isic2024-basic-eda", "kernel_id": "61119280"}, {"ref": "yuto16/isic2024-metadata-modeling-with-h2o", "kernel_id": "61125941"}, {"ref": "yuto16/isic2024-metadata-modeling-with-lightgbm-optuna", "kernel_id": "61236486"}, {"ref": "tomooinubushi/lb-probing-notebook-for-isic2024", "kernel_id": "61288752"}, {"ref": "masayukeeeee/how-to-extract-images-from-hdf5-file", "kernel_id": "61739399"}, {"ref": "tom99763/patient-wise-structural-relation-of-skin-cancer", "kernel_id": "61564333"}, {"ref": "tom99763/isolatedtree-meta-only", "kernel_id": "61330548"}, {"ref": "vishalgrover5/isic-skin-cancer-detection-eda-lgbm-baseline", "kernel_id": "61771292"}, {"ref": "hugowjd/isic-2024-pytorch-inference-effnet-b3", "kernel_id": "61813625"}, {"ref": "hugowjd/isic-2024-pytorch-training-effnet-b3", "kernel_id": "61810115"}, {"ref": "pritamsinha23/isic-2024-skin-cancer-detection-data-study", "kernel_id": "61071037"}, {"ref": "nadhirhasan/starter-eda", "kernel_id": "61124218"}, {"ref": "tacaricatika/notebook-oficial-isic-2024", "kernel_id": "61727314"}, {"ref": "eeason/pytorch-with-swintransformer-mobilenet", "kernel_id": "61682237"}, {"ref": "nikitababich/basic-eda-and-baseline-efficientnet-b0-lb-0-12", "kernel_id": "61057866"}, {"ref": "nikitababich/download-all-additional-isic-images-at-once", "kernel_id": "61139302"}, {"ref": "mdfahimbinamin/print-random-images", "kernel_id": "61378155"}, {"ref": "hackspyder/skin-cancer-visualization-yolo", "kernel_id": "61830989"}, {"ref": "cindybtari/optuna-starter", "kernel_id": "61874046"}, {"ref": "yutotamura/isic-overview-jp", "kernel_id": "61867006"}, {"ref": "deepernet/lgbm-with-new-features", "kernel_id": "61387608"}, {"ref": "quachnam/eda-scd", "kernel_id": "61925984"}, {"ref": "yitianlai/skin-cancer-probability-prediction-with-3d-tbp", "kernel_id": "61521690"}, {"ref": "zainalinasir/multimodal-experiment-0-164", "kernel_id": "61698077"}, {"ref": "motono0223/isic-pytorch-training-baseline-image-only", "kernel_id": "61097197"}, {"ref": "motono0223/isic-pytorch-inference-baseline-image-only", "kernel_id": "61097367"}, {"ref": "motono0223/isic-pytorch-training-baseline-eva02", "kernel_id": "61919786"}, {"ref": "mohdmuttalib/isic-2024-skin-cancer-detection-with-3d-tbp", "kernel_id": "61761158"}, {"ref": "hugoce/isic-2024-eda", "kernel_id": "61814179"}, {"ref": "yelbuzz/isic-2024-skin-cancer-tabular-xgboost", "kernel_id": "61588476"}, {"ref": "babydriver1233/skin-cancer-detection-with-3d-tbp", "kernel_id": "61135831"}, {"ref": "temperancehong/isic-2024-ml-baseline-meta-data-only", "kernel_id": "61414780"}, {"ref": "temperancehong/isic-2024-baselinedl-efficientnet-submission", "kernel_id": "61843073"}, {"ref": "temperancehong/isic-2024-baselinedl-image-only-with-efficientnet", "kernel_id": "61835722"}, {"ref": "temperancehong/isic-2024-baselinedl-image-only-resnet-submission", "kernel_id": "61799764"}, {"ref": "temperancehong/isic-2024-baselinedl-images-only-with-resnet", "kernel_id": "61657218"}, {"ref": "temperancehong/isic-2024-ml-baseline-meta-data-with-abcd-rules", "kernel_id": "61597124"}, {"ref": "jackzhang0925/version-1", "kernel_id": "61972650"}, {"ref": "susanketsarkar/isic-2024", "kernel_id": "61439402"}, {"ref": "kareemusama/skin-cancer-predictor", "kernel_id": "61210024"}, {"ref": "abdonasser/eda-skin-cancer-detection", "kernel_id": "61992246"}, {"ref": "mohamedmaboshady/cat-xgb", "kernel_id": "61258563"}, {"ref": "gkanamoto/baseline-catboost", "kernel_id": "61831432"}, {"ref": "malte93/isic2024-starter-notebook", "kernel_id": "61074156"}, {"ref": "ayrgthonsoraca/skin-cancer-detection-eda-and-imageprocessing", "kernel_id": "61162892"}, {"ref": "kostopr4v/base-catboost-with-features-engineering", "kernel_id": "61357566"}, {"ref": "ilyasssaouidi/notebook321730c0a6", "kernel_id": "61791736"}, {"ref": "pupperemeritus/competition-draft", "kernel_id": "61583550"}, {"ref": "singhaltarun/xgboost-gridsearch", "kernel_id": "61381293"}, {"ref": "singhaltarun/catboost-with-weightedgbm", "kernel_id": "61759198"}, {"ref": "singhaltarun/clipmodel-contrastiveloss", "kernel_id": "61823257"}, {"ref": "singhaltarun/lgbm-catboost-waverage", "kernel_id": "61922589"}, {"ref": "akhiljethwa/isic-2024-vision-transformers-vit-updated", "kernel_id": "61107710"}, {"ref": "alaaeddinkhet/isic-2024-xgboost-csv", "kernel_id": "61841243"}, {"ref": "anwarhawash/trainingbinaryskincancervit", "kernel_id": "61305199"}, {"ref": "anwarhawash/makepredictionsbinaryskincancervit", "kernel_id": "61404550"}, {"ref": "saidkoussi/lightgbm-said", "kernel_id": "61207809"}, {"ref": "khayrulbuet13/exploratory-data-analysis", "kernel_id": "61635174"}, {"ref": "gabrielcabas/eda-inception-v4", "kernel_id": "61361601"}, {"ref": "ahmedxc4/isic-2024-transformers-vit-starter-notebook", "kernel_id": "61122985"}, {"ref": "hosamdeghidy/extract-images-from-hdf5-files", "kernel_id": "61790570"}, {"ref": "mobaswiralfarabi/skin-tone-classifier-new1", "kernel_id": "61463021"}, {"ref": "tariqcp/isic2024-faqs-plus-eda", "kernel_id": "61113418"}, {"ref": "therealarnab/isic2024-skincancerdetection", "kernel_id": "61905527"}, {"ref": "richolson/isic-2024-imagenet-model-a", "kernel_id": "61795649"}, {"ref": "allanpereirafenelon/basic-eda-and-baseline-efficientnet-b0-lb-0-12", "kernel_id": "61130517"}, {"ref": "petrarodriguez/resnet18", "kernel_id": "61298618"}, {"ref": "sauravbisht0129/eda-skin-cancer-detection-with-3d-tbp", "kernel_id": "61693778"}, {"ref": "abhaysharma38/skin-cancer-detection-eda-visualization", "kernel_id": "61365913"}, {"ref": "soyabulislamlincoln/isic-model-image-processing-demo", "kernel_id": "61096967"}, {"ref": "soyabulislamlincoln/isic-2024-starter-notebook-eda", "kernel_id": "61067713"}, {"ref": "lightonkalumba/naive-lightgbm-fe-ensemble-random-parameters", "kernel_id": "61778205"}, {"ref": "mohitgupta12/isic-2024-skin-cancer-detection-nn-modeling", "kernel_id": "61364120"}, {"ref": "mohitgupta12/lgbm-regressor-isic-2024-skin-cancer-detection", "kernel_id": "61423176"}, {"ref": "ichigoe/efficientnet-with-grad-cam-visualization", "kernel_id": "61649946"}, {"ref": "ttd113/optuna-lightgbm", "kernel_id": "61163131"}, {"ref": "novaanakin/xgb-lgbm-catboost", "kernel_id": "61572917"}, {"ref": "raymanodeep/isic24-vit", "kernel_id": "61540404"}, {"ref": "nadereafshar/isic-2024-modeling-v3-transformer", "kernel_id": "61801323"}, {"ref": "nadereafshar/isic-2024-modeling-v2-custom-gen", "kernel_id": "61784230"}, {"ref": "nadereafshar/isic-2024-data-analysis", "kernel_id": "61564603"}, {"ref": "nadereafshar/reading-hdf5-images", "kernel_id": "61510024"}, {"ref": "ryankim17920/efficientvit-training", "kernel_id": "61552038"}, {"ref": "ryankim17920/efficientvit-inference", "kernel_id": "61678667"}, {"ref": "atheekhebbar/isic-2024-skin-cancer", "kernel_id": "61110407"}, {"ref": "perdigao1/explore-open-imgs-from-h5-and-compare-with-jpg", "kernel_id": "61747214"}, {"ref": "perdigao1/isic-2024-fastai-img-classif-training", "kernel_id": "61821574"}, {"ref": "perdigao1/isic-2024-fastai-pred-submission", "kernel_id": "61917899"}, {"ref": "abdmental01/lgbm-cat-ensemble-isic", "kernel_id": "61994632"}, {"ref": "michabogusawski/skin-cancer-detection-1", "kernel_id": "61498068"}, {"ref": "derpreme/mostly-my-isic-2024-skin-cancer-detection", "kernel_id": "61172215"}, {"ref": "feidawei/isic-clustering-patients-2019", "kernel_id": "61560663"}, {"ref": "feidawei/isic-2024-eda-csv-hdf5-feida-wei", "kernel_id": "61075894"}, {"ref": "isabelocastillo/limpieza-de-datos-codigo-en-castellano", "kernel_id": "61232149"}, {"ref": "viktoriaskorik/merge-external-isic-data-eda", "kernel_id": "61164699"}, {"ref": "adilalizada/skin-cancer-detection-lgbm-0-164", "kernel_id": "61499970"}, {"ref": "mukkaragayathri/isic-2024-basic-eda-cnn", "kernel_id": "61365177"}, {"ref": "auliaaudrifitriyatna/isic-2024-skin-cancer-detection-with-3d-tbp", "kernel_id": "61094239"}, {"ref": "metinmekiabullrahman/isic-2024-skin-cancer-detection", "kernel_id": "61313014"}, {"ref": "drsadiasyed/dr-sadia-syed-isic-2024-skin-cancer-detection", "kernel_id": "61170052"}, {"ref": "abdelrahmanmfam/isic-2024-pytorch-resnet-18-image-only", "kernel_id": "61708829"}, {"ref": "ritesh3pillarglobal/notebook11033e28e7", "kernel_id": "61410035"}, {"ref": "creatorlogs/isic-2024-skin-cancer-detection", "kernel_id": "61415176"}, {"ref": "rajvendrarahi69/isic-2024-team-kamingo", "kernel_id": "61218622"}, {"ref": "jyothikamaleshs/fastai-resnet-vit-224", "kernel_id": "61537787"}, {"ref": "amajujalla/cancerous-2", "kernel_id": "61420673"}, {"ref": "nguyenquangthinhus/notebook7162ae866e", "kernel_id": "61654114"}, {"ref": "pamalkrmondal/isic-2024-skin-cancer-detection-with-3d-tbp", "kernel_id": "61078605"}, {"ref": "emanuelhm/skin-cancer-detection-cnn-img-csv", "kernel_id": "61800414"}, {"ref": "iamyashjadhav/isic2024", "kernel_id": "61328077"}, {"ref": "wahaajnasir/version-1", "kernel_id": "61715207"}, {"ref": "chingyinzhang/notebookab62398ae3", "kernel_id": "61928701"}, {"ref": "emanuele/isic2024-zeros-submission", "kernel_id": "62012055"}, {"ref": "emanuele/isic2024-random-submission", "kernel_id": "62013503"}, {"ref": "emanuele/isic2024-basic-submission", "kernel_id": "62096071"}, {"ref": "emanuele/isic2024-basic-feature-engineering", "kernel_id": "62367265"}, {"ref": "emanuele/isic2024-basic-cross-validation", "kernel_id": "62395305"}, {"ref": "emanuele/isic2024-advanced-feature-engineering", "kernel_id": "62399713"}, {"ref": "emanuele/isic2024-advanced-cross-validation", "kernel_id": "62401266"}, {"ref": "emanuele/isic2024-ugly-duckling", "kernel_id": "62417525"}, {"ref": "mnk812/20240717-get-duplicate-id", "kernel_id": "62060868"}, {"ref": "vmihaylov/feature-engineering-lightgbm", "kernel_id": "62478947"}, {"ref": "vmihaylov/lightgbm-without-feature-engineering", "kernel_id": "62484282"}, {"ref": "vmihaylov/catboost-without-feature-engineering", "kernel_id": "62524518"}, {"ref": "kvsnoufal/hf-trainer-0-12lb-imageonly-swin-tiny", "kernel_id": "62442309"}, {"ref": "dschettler8845/isic-detect-skin-cancer-grounded-dino-sam", "kernel_id": "62170687"}, {"ref": "samu2505/isic-ssl-moco", "kernel_id": "62394422"}, {"ref": "pastorsoto/fastai-skin-cancer-classification-demo", "kernel_id": "62918114"}, {"ref": "ozhiro/isic-tabular-model-tabnet", "kernel_id": "62551401"}, {"ref": "zhangyunsheng/isic-efficientnet-b0-with-tabular-data", "kernel_id": "62371197"}, {"ref": "levonar/isic-eda-kmeans-gaussian-mixture", "kernel_id": "62817625"}, {"ref": "junichiromorita/isic-saving-multiple-efficientnet-models", "kernel_id": "62473919"}, {"ref": "tom99763/img-patient-wise-structural-relation-of-skin-c", "kernel_id": "62187584"}, {"ref": "tom99763/graphsage-lgbm-stack-submission", "kernel_id": "62134849"}, {"ref": "tom99763/img-skin-cancer-detection-with-graphsage", "kernel_id": "62248217"}, {"ref": "tom99763/fork-of-ensemble-tabular-image-features-grap", "kernel_id": "62512035"}, {"ref": "hasancanzkan/isic-with-resnet18", "kernel_id": "62741911"}, {"ref": "takeshimorimura/eda2-metadata-with-descriptions", "kernel_id": "62468097"}, {"ref": "parsahriri/cnn-submit", "kernel_id": "62454015"}, {"ref": "oluwadaunsidaniel/skin-cancer-classification", "kernel_id": "62664566"}, {"ref": "adabana/baseline-only-metadata-sic-2024-challenge", "kernel_id": "62331220"}, {"ref": "dokster/isic-2024-image-tabular-model-training", "kernel_id": "62712347"}, {"ref": "dokster/isic-2024-image-tabular-model-inference", "kernel_id": "62964804"}, {"ref": "ranamudassarrasool/isic-2024-skin-cancer-detection-with-3d-tbp", "kernel_id": "62694796"}, {"ref": "simeetnayan/isic-2024-efficientnet-b0-pretrained", "kernel_id": "62478719"}, {"ref": "deepernet/bayesian-optimization-parameters", "kernel_id": "62154595"}, {"ref": "mahmoudftolba/naive-lightgbm", "kernel_id": "62210159"}, {"ref": "awxlong/pretrain-dataaug-isic-2024", "kernel_id": "62889651"}, {"ref": "nikhilsharma24/isic-july12-leave-one-site-out", "kernel_id": "62004365"}, {"ref": "alexandrgavrilenko/submission", "kernel_id": "62170402"}, {"ref": "motono0223/isic-pytorch-baseline-pseudo-labeling-eva02", "kernel_id": "62173770"}, {"ref": "motono0223/isic-script-inference-eva02", "kernel_id": "62315775"}, {"ref": "motono0223/isic-script-inference-effnetv1b0-f313ae", "kernel_id": "62313250"}, {"ref": "motono0223/isic-tabular-model-image-model-features", "kernel_id": "62312412"}, {"ref": "motono0223/isic-inference-effnetv1b0-for-training-data", "kernel_id": "62286232"}, {"ref": "motono0223/isic-inference-eva02-for-training-data", "kernel_id": "62286622"}, {"ref": "gnanaprakashr/isic-scd-3d-tbp-eda-fe-lgbm", "kernel_id": "62495092"}, {"ref": "dnyaneshwalwadkar/solution-with-transformer", "kernel_id": "62498717"}, {"ref": "temperancehong/isic2024-feature-lightgbm-selection", "kernel_id": "62084221"}, {"ref": "temperancehong/isic2024-feature-lightbgm-xgb-catboost", "kernel_id": "62413032"}, {"ref": "shivanibhasin/isic-initial-eda-sb", "kernel_id": "62310833"}, {"ref": "shivanibhasin/isic-intial-modeling", "kernel_id": "62836887"}, {"ref": "aaditshukla/isic-2024", "kernel_id": "62428415"}, {"ref": "rzatemizel/only-tabular-xgb-catb-lgbm-ensemble", "kernel_id": "62553872"}, {"ref": "rzatemizel/tabular-baseline-xgboost", "kernel_id": "62488966"}, {"ref": "risakashiwabara/0-167score-optuna-lgbm", "kernel_id": "62149635"}, {"ref": "sabyrbazarymbetov/multiple-input-effnetv2-feature-extraction-dnn", "kernel_id": "62632388"}, {"ref": "lorrainmorlet/cnn-with-val-overfitting", "kernel_id": "62990543"}, {"ref": "xukongji/isic-submit-lgbonly", "kernel_id": "62425850"}, {"ref": "oskarkuuse/skin-cancer-model-training-w-additional-data", "kernel_id": "62396237"}, {"ref": "pavlobaranchuk/isic-2024-skin-cancer-detection-with-3d-tbp", "kernel_id": "62758389"}, {"ref": "yasirahmad0810/isic2024-eda", "kernel_id": "62333832"}, {"ref": "asmasohail/skin-cancer-analysis-through-ml", "kernel_id": "62833165"}, {"ref": "habilamar/isic-2024", "kernel_id": "62577985"}, {"ref": "yunsuxiaozi/isic-2024-metric-pauc", "kernel_id": "62265842"}, {"ref": "yunsuxiaozi/isic-2024-starter", "kernel_id": "62995126"}, {"ref": "gimottiyamettee/isic-2024-pytorch-training-resnet34-baseline", "kernel_id": "62204882"}, {"ref": "hosamdeghidy/isic-2024-eda", "kernel_id": "62128607"}, {"ref": "metlnfoor/isic-2024-with-xgboost", "kernel_id": "62230376"}, {"ref": "metlnfoor/resnet34-removing-hair-under-sampling", "kernel_id": "62477263"}, {"ref": "therealarnab/isic2024skincancer", "kernel_id": "62491100"}, {"ref": "richolson/isic-2024-tabular-feature-generation", "kernel_id": "62922052"}, {"ref": "mymrinandrey/isic-24-scd-basic-eda-pytorch-simple-cnn", "kernel_id": "62130726"}, {"ref": "atribhattacharjee/isic-2024", "kernel_id": "62951741"}, {"ref": "missoumyoucef/lgbm-catbooost", "kernel_id": "62354928"}, {"ref": "nick33990/isic2024-lgbm-autoencoder", "kernel_id": "62952461"}, {"ref": "ericeng1/eng-isic-2024", "kernel_id": "62787550"}, {"ref": "kusnguyen/isic-feature-engineering", "kernel_id": "62032146"}, {"ref": "mohitgupta12/isic-2024-best-score-with-new-features", "kernel_id": "62932732"}, {"ref": "mohitgupta12/leision-counts", "kernel_id": "62651809"}, {"ref": "mohitgupta12/h2o-isic-submission", "kernel_id": "62652057"}, {"ref": "ranajitmahapatra/notebook0bc3fda0d0", "kernel_id": "62400896"}, {"ref": "tanmay43sharma/lightgbm-catboost-with-new-features", "kernel_id": "62818323"}, {"ref": "manabann/lesion-count", "kernel_id": "62336119"}, {"ref": "curtiscoding1/isic2024-xgboost-baseline", "kernel_id": "62694873"}, {"ref": "sofianechehboune/ml-skin-cancer-detection-with-3d-tbp", "kernel_id": "62131495"}, {"ref": "rajankamboj/cancer-detection-3d-body-scan", "kernel_id": "62689168"}, {"ref": "yunasheng/patient-shadows", "kernel_id": "62114987"}, {"ref": "k122215awaisahmed/isic-image-processing", "kernel_id": "62700710"}, {"ref": "k122215awaisahmed/patient-shadows-updated", "kernel_id": "62067618"}, {"ref": "ravaghi/isic-2024-skin-cancer-detection-stacked-gbms", "kernel_id": "62210297"}, {"ref": "ravaghi/isic-2024-skin-cancer-weighted-ensemble", "kernel_id": "62210298"}, {"ref": "ravaghi/isic-2024-skin-cancer-detection-voting", "kernel_id": "62210300"}, {"ref": "gurmeharsinghvirdi/skin-cancer-compt", "kernel_id": "62491736"}, {"ref": "zhiyue666/isic-2024-infer-baseline", "kernel_id": "62818857"}, {"ref": "ryankim17920/bbn-bilateral-branch-network", "kernel_id": "62291312"}, {"ref": "yungp1/image-augmentations-resnet18-training", "kernel_id": "62237334"}, {"ref": "utkarsh1232/isic-vision-inference", "kernel_id": "62861798"}, {"ref": "leonardorossetti/isic-2024-skin-cancer-tabular-xgboost", "kernel_id": "62498620"}, {"ref": "abdmental01/multimodel-isic", "kernel_id": "62173613"}, {"ref": "vishnubreethy/notebook9d990ab15b", "kernel_id": "62627861"}, {"ref": "mikolajkloczewski/isic-lesion-cropping-with-segmentation-model", "kernel_id": "62443433"}, {"ref": "antomalk/isic-2024-skin-cancer-tabular-various-models", "kernel_id": "62549662"}, {"ref": "antomalk/random-forest-noteboook", "kernel_id": "62422033"}, {"ref": "fellahabdelnour13/xgboost-isic-2024-metadata-only", "kernel_id": "62689165"}, {"ref": "kusssssss/isic-image-kus", "kernel_id": "62156450"}, {"ref": "kirahhayatdata/optimized-catboost-for-skin-cancer-detection", "kernel_id": "62867755"}, {"ref": "andreasbis/isic-2024-tabular-data", "kernel_id": "62130197"}, {"ref": "karankhandekar/ham10000efficientnetb0", "kernel_id": "62645453"}, {"ref": "oskarprusinowski/eda-isic-2024", "kernel_id": "62541662"}, {"ref": "drravikumarc/random-classifier-model-for-isic-competition", "kernel_id": "62211480"}, {"ref": "ianglkhjaoi/isic-2024-lightgbm", "kernel_id": "62858516"}, {"ref": "draydere/skin-imaging", "kernel_id": "62668937"}, {"ref": "wuzhiwen7445/isic2024-ml-dl", "kernel_id": "62338714"}, {"ref": "qiaoyingzhang/2024-skin-cancer-detection-zhang", "kernel_id": "62256529"}, {"ref": "anna4568/isic2024v-1", "kernel_id": "62237107"}, {"ref": "johnlemiuunno/isic-3d", "kernel_id": "62009066"}, {"ref": "joeygrosss/gross-main-skin-cancer-detection", "kernel_id": "62540860"}, {"ref": "piaflessner/skincancer-submissiontest", "kernel_id": "62722631"}, {"ref": "hermanlho1/herman-isic-skin-cancer-project", "kernel_id": "62660260"}, {"ref": "nomanjaffar11/isic-using-ann-cnn-and-smote", "kernel_id": "62596396"}, {"ref": "nomanjaffar11/skin-cancer-detection-using-cnn-and-ann", "kernel_id": "62887037"}, {"ref": "muhammadzubairkhalid/project", "kernel_id": "62870756"}, {"ref": "pearmtn/skin-cancer-detection-with-3d-tbp-training", "kernel_id": "63005545"}, {"ref": "cdthinh/the-minimum-settings-for-lightgbm-metadada-only", "kernel_id": "63323311"}, {"ref": "cdthinh/efficientnet-v2-m-with-external-data-image-only", "kernel_id": "63638266"}, {"ref": "tmyok1984/isic-2024-cross-validation-tbp-tile-type", "kernel_id": "63209980"}, {"ref": "zaferaydin/isic-2024-generate-dataset-to-be-delet", "kernel_id": "63841978"}, {"ref": "inoueu1/isic2024-baseline-image-model", "kernel_id": "63652223"}, {"ref": "nnjjpp/isic24-visual-eda", "kernel_id": "63350725"}, {"ref": "atiaisaac/isic-2024-inference", "kernel_id": "63226522"}, {"ref": "nlztrk/best-solo-stack-submission-4th-version", "kernel_id": "63352103"}, {"ref": "yxyyxy/all-isic-image-dataset-efficientnet-baseline", "kernel_id": "63532876"}, {"ref": "gunesevitan/isic-2024-inference", "kernel_id": "63663444"}, {"ref": "atsushi015/efficientnet-tpu", "kernel_id": "63566003"}, {"ref": "murashow/tabular-with-image-features-lightgbm", "kernel_id": "63982886"}, {"ref": "symz00/isic-patient-id-and-age-approx", "kernel_id": "63467031"}, {"ref": "ahmedsemeda/isic2024-baazt-tabular-only-cv-0-1742", "kernel_id": "63398685"}, {"ref": "tomooinubushi/fork-of-lgbm-baseline-with-new-features", "kernel_id": "63012092"}, {"ref": "zhangyunsheng/isic-effnet-b0-with-previous-image-pretrain", "kernel_id": "63001303"}, {"ref": "johnsonhk88/skin-cancer-detection-deep-learning-approach", "kernel_id": "63287470"}, {"ref": "masayukeeeee/overview-of-positive-images", "kernel_id": "63593530"}, {"ref": "arminajdehnia/isic2024-eda", "kernel_id": "63076711"}, {"ref": "greysky/isic-2024-only-tabular-data", "kernel_id": "63539359"}, {"ref": "mrzeco/zak-new-training-lgbm", "kernel_id": "63023272"}, {"ref": "leetolo/isic-2024-agentic-workflow-langgraph-starter", "kernel_id": "63188319"}, {"ref": "parsahriri/gans-for-image-augmentation", "kernel_id": "63293812"}, {"ref": "fabiangrger/removing-the-psychic-from-the-dataset", "kernel_id": "63548708"}, {"ref": "hugowjd/tabular-ensemble-lgbm-catboost-add-edgenext", "kernel_id": "63374828"}, {"ref": "hugowjd/isic-pytorch-inference-edgenext", "kernel_id": "63375068"}, {"ref": "hugowjd/isic-script-inference-edgenext", "kernel_id": "63253242"}, {"ref": "hugowjd/isic-inference-edgenext-for-training-data", "kernel_id": "63253286"}, {"ref": "hugowjd/isic-pytorch-training-edgenext", "kernel_id": "63247914"}, {"ref": "heyviv/isic-eda", "kernel_id": "63543309"}, {"ref": "nickuzmenkov/isic-2024-train", "kernel_id": "63538398"}, {"ref": "nadhirhasan/tabular-based-pytorch-ann", "kernel_id": "63222182"}, {"ref": "cyrilbourgeois/n1-isic-2024-research-prepametastratif", "kernel_id": "63117041"}, {"ref": "jiryanfarokhi/isic-2024", "kernel_id": "63555029"}, {"ref": "jiryanfarokhi/isic2024", "kernel_id": "63346086"}, {"ref": "shreyaggarwal2202/lgbm-cat-xgb-ensemble-tabular-image", "kernel_id": "63884371"}, {"ref": "xiaocao123/sic-2024-only-tabular-data-oversample-weights", "kernel_id": "63692150"}, {"ref": "mahmoudftolba/isic-2024-modifying-lgbmclassifier", "kernel_id": "63080803"}, {"ref": "mahmoudftolba/isic-2024-modifying-xgboost", "kernel_id": "63016172"}, {"ref": "noajeong/tabular-eda", "kernel_id": "63659752"}, {"ref": "alexandrgavrilenko/calculate-scores-by-cnn", "kernel_id": "63355234"}, {"ref": "alexandrgavrilenko/calculate-scores-by-cnn-v2", "kernel_id": "63358177"}, {"ref": "motono0223/timm-models-information", "kernel_id": "63489611"}, {"ref": "alisamy/isic-2024-skin-cancer-detection-with-3d-tbp", "kernel_id": "63869463"}, {"ref": "alejandravillarreal/isic-skin-cancer-eda", "kernel_id": "63335306"}, {"ref": "gedewahyupurnama/isic-2024-submission-with-tensorflow", "kernel_id": "63626118"}, {"ref": "kevinoconnor956/isic-2024-dnn-x-cnn", "kernel_id": "63573549"}, {"ref": "sabyrbazarymbetov/multiple-input-conv-simple-dnn-single-fold", "kernel_id": "63096066"}, {"ref": "tadashi123/feature-engineering-tabular-data-image-data", "kernel_id": "63572397"}, {"ref": "xukongji/notebookd7c3e8fd7c", "kernel_id": "63982018"}, {"ref": "vandongtran/isic-script-inference-v2", "kernel_id": "63453913"}, {"ref": "merfarukelik/tabular-with-image-features", "kernel_id": "63583108"}, {"ref": "backpaker/isic-2024-only-tabular-data-oversample", "kernel_id": "63685343"}, {"ref": "lorenzy/eda-apply-29-ml-models", "kernel_id": "63579637"}, {"ref": "lorenzy/apply-all-ml-models-after-eda", "kernel_id": "63572899"}, {"ref": "mcan2138/notebook6a156a62ff", "kernel_id": "63588961"}, {"ref": "richolson/isic-2024-imagenet-train-oof-preds-public", "kernel_id": "63679794"}, {"ref": "richolson/isic-2024-borrowed-179lb-tabular-oof-imagenet", "kernel_id": "63625012"}, {"ref": "richolson/isic-2024-lgbm-imagenet-v5a", "kernel_id": "63428107"}, {"ref": "alkidiarete/isic-2024-balanced-random-forest", "kernel_id": "63681629"}, {"ref": "usmanbashir1/isic-xgboost-catboost-mutli-model", "kernel_id": "63028558"}, {"ref": "zckcola/notebook2d05e18ae5", "kernel_id": "63402678"}, {"ref": "kusnguyen/fork-of-isic-pytorch-training-baseline-image-on", "kernel_id": "63364189"}, {"ref": "amri11/isic-skin-cancer", "kernel_id": "63949782"}, {"ref": "logevity/isic-2024-eda", "kernel_id": "63944980"}, {"ref": "fararen/skin-cancer", "kernel_id": "63633406"}, {"ref": "k122215awaisahmed/multimodal-isic-eda", "kernel_id": "63002084"}, {"ref": "fsanchez23t/resnet-v1", "kernel_id": "63484275"}, {"ref": "diegoambrosiovieira/skin-cancer-detection", "kernel_id": "63433160"}, {"ref": "ravaghi/isic-2024-skin-cancer-resnet50-training", "kernel_id": "63640575"}, {"ref": "ravaghi/isic-2024-skin-cancer-resnet50-inference", "kernel_id": "63640644"}, {"ref": "nadereafshar/isic-2024-lesion-segmentation", "kernel_id": "63027705"}, {"ref": "aryakakaroz/isic-2024", "kernel_id": "63168975"}, {"ref": "ryankim17920/transformer", "kernel_id": "63321839"}, {"ref": "ahah30/skin-cancer-detection-hehehe", "kernel_id": "63555211"}, {"ref": "pratyakshagarwal93/skin-cancer-detection-ipynb", "kernel_id": "63716865"}, {"ref": "guitarboysss/gg-bond-1", "kernel_id": "63445231"}, {"ref": "perdigao1/isic2024-pyt-mlp-on-table-inference", "kernel_id": "63252842"}, {"ref": "perdigao1/train-pyt-mlp-with-catenc-on-table", "kernel_id": "63345103"}, {"ref": "peter112333/tabular-with-image-features", "kernel_id": "63650478"}, {"ref": "wuzhangming/fttransformer", "kernel_id": "63651484"}, {"ref": "isabelocastillo/eda-df-sin-outliers", "kernel_id": "63097676"}, {"ref": "sunandray/feature-engineering-tabular-data-image-data", "kernel_id": "63638015"}, {"ref": "kusssssss/notebookb5dec102ad", "kernel_id": "63347605"}, {"ref": "kusssssss/isic2024-efficientnetb0", "kernel_id": "63572556"}, {"ref": "rishi2003das/isic-cnn-baseline", "kernel_id": "63556052"}, {"ref": "mushinw/isic-tabular-ensemble-lgbm-catboost", "kernel_id": "63067348"}, {"ref": "andreasbis/isic-2024-cnn-predictions-as-features", "kernel_id": "63416743"}, {"ref": "ngchtrung/isic-2024-skin-cancer-detection-cnn", "kernel_id": "63334874"}, {"ref": "rongyuyang/cnn-01", "kernel_id": "63413546"}, {"ref": "farheenshaukat/skin-cancer-detection-with-3d-tbp", "kernel_id": "63090512"}, {"ref": "ilkergungor/isic-24-opencv-image-segmentation-resnet152", "kernel_id": "63155212"}, {"ref": "jeajean/notebooked1a99cb12", "kernel_id": "63534126"}, {"ref": "jeajean/notebooked1a99cb12-590863", "kernel_id": "63545983"}, {"ref": "ihm1025/hair-removal", "kernel_id": "63544893"}, {"ref": "ronnyg123/model-ensembling-isic-2024", "kernel_id": "63344910"}, {"ref": "ianglkhjaoi/isic-2024-xgboost", "kernel_id": "63653444"}, {"ref": "hantaehun/beginner", "kernel_id": "63872884"}, {"ref": "j4hmed/intern-isic-2024-skin-cancer-detection", "kernel_id": "63304269"}, {"ref": "qiaoyingzhang/isic-2024-pytorch-inference-swin-vit", "kernel_id": "63478712"}, {"ref": "qiaoyingzhang/isic2024-model-ensemble-w-predicted-features", "kernel_id": "63572725"}, {"ref": "qiaoyingzhang/isic-2024-pytorch-training-baseline-vit", "kernel_id": "63565359"}, {"ref": "qiaoyingzhang/isic-2024-pytorch-training-baseline-swin", "kernel_id": "63339877"}, {"ref": "morikawatakeshi/isic-lgbm-cb-xgb-image-feature", "kernel_id": "63530557"}, {"ref": "morikawatakeshi/isic-convnextattod2in1k-train", "kernel_id": "63631951"}, {"ref": "morikawatakeshi/isic-convnext-for-training-data", "kernel_id": "63638116"}, {"ref": "morikawatakeshi/isic-script-inference-convnext", "kernel_id": "63638378"}, {"ref": "morikawatakeshi/isic-deit-train", "kernel_id": "63647170"}, {"ref": "morikawatakeshi/isic-script-inference-deit", "kernel_id": "63655938"}, {"ref": "morikawatakeshi/isic-deit-for-training-data", "kernel_id": "63655656"}, {"ref": "nosherwantahir/notebookea3cca46ba", "kernel_id": "63114437"}, {"ref": "tasa24/sk-compt", "kernel_id": "63492962"}, {"ref": "titericz/efficiency-leaderboard-xgb-top17-public", "kernel_id": "64149739"}, {"ref": "anisharitakula/beginner-tabular-dataonly", "kernel_id": "64244103"}, {"ref": "pmathur/random-forest-smote", "kernel_id": "64536044"}, {"ref": "pmathur/xgboost-rf-catboost-and-just-393-samples", "kernel_id": "64899843"}, {"ref": "tmyok1984/isic2024-ensemble-models-notebook", "kernel_id": "64993078"}, {"ref": "alexandremoritz/visualizing-multiple-moles-ugly-duckling-sign", "kernel_id": "64773928"}, {"ref": "lelelu/isic-ptraining-edgenext-my", "kernel_id": "64856267"}, {"ref": "mnk812/20240823-merge-trainv1", "kernel_id": "64574831"}, {"ref": "mnk812/20240813-mergev2-test", "kernel_id": "64076979"}, {"ref": "shiyili/isic-2024-imagenet-models", "kernel_id": "64731422"}, {"ref": "shiyili/isic-2024-imagenet-models-training", "kernel_id": "64734595"}, {"ref": "shiyili/isic-vit-training-baseline-image-only", "kernel_id": "64216054"}, {"ref": "shiyili/isic-2024-tabular-feature-engineering", "kernel_id": "64788738"}, {"ref": "shiyili/isic-2024-imagenet-models-inference", "kernel_id": "64771987"}, {"ref": "zaferaydin/isic-2024-generate-dataset-using-2024-data-only", "kernel_id": "64763445"}, {"ref": "zaferaydin/isic-2024-generate-dataset", "kernel_id": "64300807"}, {"ref": "manojajj/image-training-with-logistic-regression", "kernel_id": "64368595"}, {"ref": "manojajj/umm-maybe-ai-image-detector-from-huggingface", "kernel_id": "64326734"}, {"ref": "manojajj/mobilenet-v2", "kernel_id": "64337691"}, {"ref": "manojajj/image-training-with-randomforest-classifier", "kernel_id": "64254010"}, {"ref": "manojajj/eda-simplenn-pytorch", "kernel_id": "64184253"}, {"ref": "ilya9711nov/old-models-predictions", "kernel_id": "64732985"}, {"ref": "minaiyuki/isic-2024-tabular-eda-5-model-comparison", "kernel_id": "64111114"}, {"ref": "minaiyuki/isic-2024-tuning-with-bayesian-optimization", "kernel_id": "64245990"}, {"ref": "minaiyuki/isic-2024-ensemble-with-tabular-and-image-data", "kernel_id": "64310973"}, {"ref": "rushali2406/21st-place-solution-isic", "kernel_id": "64371023"}, {"ref": "brianxhopkins/skin-cancer-prediction", "kernel_id": "64314633"}, {"ref": "wajahat1064/skin-cancer-prediction-score-0-183", "kernel_id": "64287320"}, {"ref": "wajahat1064/skin-cancer-detection-using-ensembling-isic-2024", "kernel_id": "64114891"}, {"ref": "wajahat1064/skin-cancer-prediction-score-0-184", "kernel_id": "64360191"}, {"ref": "riadalmadani/using-clip-for-emb", "kernel_id": "64535294"}, {"ref": "azizahny/isic2024", "kernel_id": "64210716"}, {"ref": "mohamed3abdelrazik/isic-script-inference-vitbase-no-sampling", "kernel_id": "64364811"}, {"ref": "hideyukizushi/isic-scriptinf-swinv2-tiny-window16-256-bs256", "kernel_id": "64373468"}, {"ref": "hideyukizushi/isic-scriptinf-eva02-small-patch14-336drop20-bs256", "kernel_id": "64653891"}, {"ref": "hideyukizushi/isic-scriptinf-convnextv2-tiny-x224-bs256", "kernel_id": "64570753"}, {"ref": "hideyukizushi/isic24parallel-image-lines2lines-a-460-a-440-a-420", "kernel_id": "64623003"}, {"ref": "hideyukizushi/isic-imglgb15fold-a-420-a-440-a-460", "kernel_id": "64773765"}, {"ref": "taikimori/overdownsampler-isic-cnn-training-inference", "kernel_id": "64611697"}, {"ref": "syedjarullahhisham/private-658-isic-2024-weighted-ensemble", "kernel_id": "64139559"}, {"ref": "atsuno/isic-pytorch-cv-lb-discrepancy", "kernel_id": "64201779"}, {"ref": "atsuno/isic-script-inference-cv-lb-discrepancy", "kernel_id": "64201809"}, {"ref": "matheusparracho/skin-cancer-detection-final-cnn", "kernel_id": "64190379"}, {"ref": "matheusparracho/skin-cancer-detection-final-lightgbm", "kernel_id": "64192651"}, {"ref": "shaokangzhang/eda-apply-autogluon", "kernel_id": "64306169"}, {"ref": "parsahriri/attention-is-all-you-need-vit-code", "kernel_id": "64137163"}, {"ref": "yoshikuwano/infer-from-only-images-with-balanced-mixup", "kernel_id": "64850691"}, {"ref": "mellcrane/isic2024-pytorch-training-convnext-base", "kernel_id": "64416023"}, {"ref": "nomuraryota/image-train", "kernel_id": "64342159"}, {"ref": "liuhaixu/notebook30240cfa38", "kernel_id": "64547548"}, {"ref": "stefanoclss/isic-2024-only-tabular-data-006bb3", "kernel_id": "64577543"}, {"ref": "dokster/isic-24-better-image-tabular-model-inference", "kernel_id": "64927508"}, {"ref": "ranamudassarrasool/skin-cancer-detection-with-3d-tbp-result-produced", "kernel_id": "64841386"}, {"ref": "ranamudassarrasool/againcheck-skincacer", "kernel_id": "64837430"}, {"ref": "seeingtimes/isic-infer-with-openvino", "kernel_id": "64499359"}, {"ref": "xiaocao123/isic-2024-parallel-image-lines-1-new-line", "kernel_id": "64330132"}, {"ref": "maryamalimohammed/image-classification-draft1", "kernel_id": "64144451"}, {"ref": "omarkouta/cnn-classifier", "kernel_id": "64450016"}, {"ref": "zhangyue325/summary-to-existing-notebooks-wip", "kernel_id": "64711530"}, {"ref": "manoshschoudhury/resnet50v2-based-model-with-12-features", "kernel_id": "64836369"}, {"ref": "samiulislam180041221/isic-2024-pl-submission-script-fixed", "kernel_id": "64777102"}, {"ref": "onurtekiner/skin-cancer-prediction-notebook", "kernel_id": "64209354"}, {"ref": "demko1/lgbm-catboost-resnet50-s-hidden-outputs", "kernel_id": "64219447"}, {"ref": "makyriacou/isic-2024-csv-ann-prt2", "kernel_id": "64705986"}, {"ref": "ednamora/test-regression-v3", "kernel_id": "64003935"}, {"ref": "sararomia/baic-isic-tfrecords-2024", "kernel_id": "64722983"}, {"ref": "lezilv/skin-cancer-detection-deep-learning-approach", "kernel_id": "64281818"}, {"ref": "eidophor/cell-dl", "kernel_id": "64352552"}, {"ref": "zzt0218/2-lines-weight-round", "kernel_id": "64618493"}, {"ref": "zzt0218/why-can-swap-image-cols-improved-lb", "kernel_id": "64757981"}, {"ref": "xukongji/cnn-training-notebook-with-focal-loss", "kernel_id": "64691102"}, {"ref": "vandongtran/tabular-with-image-features", "kernel_id": "64052476"}, {"ref": "vandongtran/isic-2024-lgbm-imagenet-public", "kernel_id": "64704572"}, {"ref": "uryednap/efficientnet-isic-2024-eval", "kernel_id": "64640532"}, {"ref": "uryednap/final-approach-isic-2024", "kernel_id": "64390079"}, {"ref": "uryednap/efficientnet-meta-isic-2024-eval", "kernel_id": "64783739"}, {"ref": "shreemitg/isic2024", "kernel_id": "64112494"}, {"ref": "claramagdyghaly/skin-cancer-detection", "kernel_id": "64995878"}, {"ref": "backpaker/isic-2024-tabular-data-weak-model-as-features", "kernel_id": "64132825"}, {"ref": "asimuddin122/notebookeb7a54d417", "kernel_id": "64968140"}, {"ref": "smhamid/isic-pytorch-training-baseline-image-only", "kernel_id": "64781327"}, {"ref": "therealarnab/isic2024skincancertabtrain", "kernel_id": "64145525"}, {"ref": "richolson/isic-2024-lgbm-imagenet-public", "kernel_id": "64406520"}, {"ref": "richolson/isic-2024-magic-noise-for-lb-overfit", "kernel_id": "64468560"}, {"ref": "richolson/isic-2024-shake-up-lb-overfitting-simulator", "kernel_id": "64320130"}, {"ref": "richolson/isic-2024-imagenet-lr-ramp-target-mods", "kernel_id": "64162818"}, {"ref": "l00ll000lll0/image-tabular-dataset-eda-lightgbm", "kernel_id": "64320415"}, {"ref": "alkidiarete/fastai-isic-2024", "kernel_id": "64610674"}, {"ref": "solomonajani/skin-cancer-detection", "kernel_id": "64314964"}, {"ref": "solomonajani/fork-of-skin-cancer-detection", "kernel_id": "64812085"}, {"ref": "mohitgupta12/isic-latest-submission", "kernel_id": "64590072"}, {"ref": "mohitgupta12/isic-dataset-creation", "kernel_id": "64662059"}, {"ref": "lamdo2k3/isic-2024-my-model", "kernel_id": "64111041"}, {"ref": "lamdo2k3/isic-2024-skin-cancer-resnet50-training", "kernel_id": "64699067"}, {"ref": "lamdo2k3/isic-pytorch-inference-baseline-image-only", "kernel_id": "64440834"}, {"ref": "tanmay43sharma/skin-cancer-prediction-score-0-183", "kernel_id": "64291363"}, {"ref": "curtiscoding1/seed-based-ensembles-an-experiment", "kernel_id": "64372412"}, {"ref": "curtiscoding1/stepwise-optuna-hyperparameter-tuning-algo", "kernel_id": "64834616"}, {"ref": "curtiscoding1/investigating-feature-selection-and-mutual-inf", "kernel_id": "64833677"}, {"ref": "curtiscoding1/xgboost-advanced-ensemble", "kernel_id": "64842548"}, {"ref": "mokademadel/isic24-last-submission", "kernel_id": "64596332"}, {"ref": "wanyanwendi/tabular-with-image-features-lightgbm", "kernel_id": "64139874"}, {"ref": "xiyan123/isic2024", "kernel_id": "64622037"}, {"ref": "logevity/isic-2024-baseline-model-metadata", "kernel_id": "64359187"}, {"ref": "logevity/isic-2024-baseline-model-image", "kernel_id": "64323919"}, {"ref": "logevity/isic-2024-data-preprocessing", "kernel_id": "64173028"}, {"ref": "capdiv/notebook4d0a91122e", "kernel_id": "64979304"}, {"ref": "carypso/isic2024-approch-from-image", "kernel_id": "64639016"}, {"ref": "greenkedia/lets-go-neural-7-inference", "kernel_id": "64276473"}, {"ref": "haoranran/skin-cancer-detection-deep-learning-approach", "kernel_id": "64562739"}, {"ref": "ravaghi/isic-2024-swin-transformer-training", "kernel_id": "64269384"}, {"ref": "ravaghi/isic-2024-swin-transformer-inference", "kernel_id": "64289074"}, {"ref": "utkarsh1232/isic-tabular", "kernel_id": "64386452"}, {"ref": "utkarsh1232/isic-vision", "kernel_id": "64774648"}, {"ref": "isaachirsch/representation-training", "kernel_id": "64163616"}, {"ref": "rasamanil/isic-2024-21aug-2024", "kernel_id": "64411884"}, {"ref": "xunden/parallel-image-lines-removing", "kernel_id": "64370360"}, {"ref": "xunden/isic-2024-parallel-image-lines-new-feat-64e9e5", "kernel_id": "64416897"}, {"ref": "feattar/only-infer-coding", "kernel_id": "64728314"}, {"ref": "feattar/train-and-infer-coding", "kernel_id": "64726320"}, {"ref": "feattar/fork-of-only-infer-coding", "kernel_id": "64744802"}, {"ref": "feattar/fork-of-train-and-infer-coding", "kernel_id": "64743024"}, {"ref": "zhihonghe/isic-2024-parallel-image-lines-1-new-line", "kernel_id": "64406920"}, {"ref": "kusssssss/isic-image-feature-extraction", "kernel_id": "64212753"}, {"ref": "kusssssss/text-feature-extraction-from-kus", "kernel_id": "64328127"}, {"ref": "ihatedlliana/skin-cancer-2024-efficientnet-baseline", "kernel_id": "64800297"}, {"ref": "ihatedlliana/skin-cancer-isic-2024", "kernel_id": "64421041"}, {"ref": "muratkisi/notebookff39cf095e", "kernel_id": "64130413"}, {"ref": "feiwenxuan/tabular-with-image-features-lightgbm", "kernel_id": "64135265"}, {"ref": "feiwenxuan/isic-2024-parallel-image-lines-soft-voting-wei", "kernel_id": "64372283"}, {"ref": "mushinw/tabular-with-image-features", "kernel_id": "64055248"}, {"ref": "mushinw/isic-2024-7", "kernel_id": "64997845"}, {"ref": "miuunno/isic-image-inference", "kernel_id": "64258122"}, {"ref": "andreasbis/script-inference-imagenet", "kernel_id": "64781319"}, {"ref": "andreasbis/isic-2024-out-of-fold-oof-experiment", "kernel_id": "64276353"}, {"ref": "harshsaini10/isic-pytorch-training-baseline-image-only", "kernel_id": "64452615"}, {"ref": "nancylxiao/isic-2024-challenge", "kernel_id": "64322676"}, {"ref": "shahdmohamed1/skin-cancer-detection-deep-learning-approach", "kernel_id": "64338691"}, {"ref": "iamdebasishdas/isic-cnn", "kernel_id": "64089131"}, {"ref": "ttw007/ml-only-tabular-data", "kernel_id": "64880388"}, {"ref": "nicolaspillin/isic-2024-images-tabular-data", "kernel_id": "64295592"}, {"ref": "framewolf/data-comparison", "kernel_id": "64166217"}, {"ref": "framewolf/isic-2024-eda", "kernel_id": "64070357"}, {"ref": "luqianqian1/tabular-with-image-features-lightgbm-8d1377", "kernel_id": "64172772"}, {"ref": "morikawatakeshi/isic-edgenext-base-in21k-ft-in1k-train", "kernel_id": "64365253"}, {"ref": "morikawatakeshi/isic-edgenext-in21k-ft-in1k-for-training-data", "kernel_id": "64365976"}, {"ref": "morikawatakeshi/isic-regnetv-040-ra3-in1k-for-training-data", "kernel_id": "64483810"}, {"ref": "morikawatakeshi/isic-edgenext-in21k-ft-in1k-script-inference", "kernel_id": "64480216"}, {"ref": "morikawatakeshi/isic-regnetv-040-ra3-in1k-train", "kernel_id": "64481152"}, {"ref": "morikawatakeshi/isic-dm-nfnet-f0-script-inference", "kernel_id": "64244230"}, {"ref": "morikawatakeshi/isic-dm-nfnet-f0-dm-in1k-for-training-data", "kernel_id": "64241944"}, {"ref": "morikawatakeshi/isic-dm-nfnet-f0-dm-in1k-train", "kernel_id": "64241523"}, {"ref": "morikawatakeshi/isic-beit-base-patch16-224-for-training-data", "kernel_id": "64299383"}, {"ref": "morikawatakeshi/isic-beit-base-patch16-224-train", "kernel_id": "64298326"}, {"ref": "morikawatakeshi/isic-caformer-b36-train", "kernel_id": "64328592"}, {"ref": "morikawatakeshi/isic-beit-base-patch16-224-script-inference", "kernel_id": "64326907"}, {"ref": "mayankchhavri/skin-cancer-detection", "kernel_id": "64835489"}, {"ref": "miuunnoo/isic-tabular", "kernel_id": "64116219"}, {"ref": "rebbeccacaclos/isic-tabular", "kernel_id": "64115808"}, {"ref": "miuunnolecos/isic-image-data", "kernel_id": "64168230"}, {"ref": "mattgostkowski/isic-2024-challenge-multi-input-dnn-cnn-model", "kernel_id": "64167773"}, {"ref": "coc1id/isic-pytorch-inference-baseline-image-on-27a211", "kernel_id": "64933140"}, {"ref": "kaggleuserr2/work16-08", "kernel_id": "64189110"}, {"ref": "goldenlock/tree-withnn-pb173", "kernel_id": "65456435"}, {"ref": "goldenlock/tree-withnn-multimodal-pb176", "kernel_id": "65457080"}, {"ref": "goldenlock/imgonly-pb153", "kernel_id": "65438453"}, {"ref": "goldenlock/tree-metaonly-pb165", "kernel_id": "65441195"}, {"ref": "goldenlock/multimodal-pb172", "kernel_id": "65385002"}, {"ref": "titericz/image-enhancer", "kernel_id": "65404975"}, {"ref": "titericz/images-body-eda", "kernel_id": "65137259"}, {"ref": "optimo/isic24-why-your-model-doesn-t-detect-cancers", "kernel_id": "65337554"}, {"ref": "pearmtn/skin-cancer-detection-with-3d-tbp-inference", "kernel_id": "65011844"}, {"ref": "mnk812/20240904-fold-merge-predict", "kernel_id": "65234044"}, {"ref": "mnk812/20240905-fold2-merge-predict", "kernel_id": "65264605"}, {"ref": "mnk812/2024908-train-image-meta", "kernel_id": "65441064"}, {"ref": "nnjjpp/isic-2024-cnn-model", "kernel_id": "65379723"}, {"ref": "nnjjpp/isic-2024-blended-ensemble", "kernel_id": "65386328"}, {"ref": "nguyenbadung/isic-2024-secondary-prize", "kernel_id": "65203605"}, {"ref": "nguyenbadung/isic-2024-final-submission", "kernel_id": "65202414"}, {"ref": "ilya9711nov/first-place-submission", "kernel_id": "65845935"}, {"ref": "toddstephenson/isic2014-vision-transformer", "kernel_id": "65297994"}, {"ref": "nlztrk/isic-only-tabular-solution-181-161", "kernel_id": "65187524"}, {"ref": "stutigarg/isic-2024-ensemble-of-3-solutions-a5d6ae", "kernel_id": "65294245"}, {"ref": "clearwaterkzk/isic-create-dinov2-embeddings", "kernel_id": "65088208"}, {"ref": "fyk778/merged-sub-final-ensemble-v1-5th-place", "kernel_id": "65335117"}, {"ref": "takeshimorimura/isic-images-val1-swin-small-ema", "kernel_id": "65588675"}, {"ref": "takeshimorimura/images-val4-effnetb0-ema-aux", "kernel_id": "65745642"}, {"ref": "akashkanojiya/spotting-cancer-logistic-regression-in-action", "kernel_id": "65950498"}, {"ref": "liuhaixu/fork-of-isic-2024", "kernel_id": "65794709"}, {"ref": "liuhaixu/isic-2024", "kernel_id": "65327130"}, {"ref": "guillermoperezg/isic-2024-ensemble-of-3-solutions-experiments", "kernel_id": "65074193"}, {"ref": "guillermoperezg/isic-2024-ensemble-of-3-solutions-fine-tune", "kernel_id": "65303231"}, {"ref": "maurofalcao/luxai-efficientnet-b4", "kernel_id": "65366070"}, {"ref": "akashmaggon/iisc-cancer-detection", "kernel_id": "65173795"}, {"ref": "dg5bebe/isic-2024-ensemble-of-3-solutions", "kernel_id": "65345903"}, {"ref": "konstantinboyko/isic-2024-16-66v-infer-edge-34-cv", "kernel_id": "65353263"}, {"ref": "manoshschoudhury/resnet50v2-based-model-with-12-features-inference", "kernel_id": "65334746"}, {"ref": "youheitomio/submit-pb0-173-lb0-186", "kernel_id": "65131764"}, {"ref": "pillow5/notebook0281eadd2f", "kernel_id": "65369674"}, {"ref": "ihtishammehmood/skin-cancer-prediction-tabular-data", "kernel_id": "65132834"}, {"ref": "arturotomortiz/isic-comp", "kernel_id": "65829679"}, {"ref": "hmikraminfo/eda-simplenn-pytorch", "kernel_id": "65373098"}, {"ref": "olegopoly/isic-2024-distillation", "kernel_id": "65870234"}, {"ref": "oskarkuuse/isic-2024-2-image-lines-nn-copy", "kernel_id": "65116374"}, {"ref": "yunsuxiaozi/isic2024-finetune-sd-synthetic-data", "kernel_id": "65758353"}, {"ref": "yunsuxiaozi/isic2024-text2image-dalle", "kernel_id": "65721028"}, {"ref": "martinapreusse/isic-2024-malign-or-not-decoding-skin-cancer", "kernel_id": "65309120"}, {"ref": "kusnguyen/isic-skin-cancer-detection", "kernel_id": "65339244"}, {"ref": "amnydv17/skin-cancer-detection", "kernel_id": "65338968"}, {"ref": "tomoon33/isic2024-submission-2nd-place", "kernel_id": "65976335"}, {"ref": "rakshithramkatta/custom-loss", "kernel_id": "65893069"}, {"ref": "emrullahkaracan/notebook08717948a3", "kernel_id": "65008353"}, {"ref": "logevity/isic-2024-resnet", "kernel_id": "65201812"}, {"ref": "balkarjun/isic-2024-tabular-ensemble-of-xgb-and-lgbm", "kernel_id": "65285205"}, {"ref": "sagarmamodia/isic-notebook-1", "kernel_id": "65112793"}, {"ref": "zhiyue666/isic-2024-final-infer-ensemble", "kernel_id": "65230305"}, {"ref": "zhiyue666/isic-2024-dl-model-training", "kernel_id": "65419498"}, {"ref": "zhiyue666/isic-2024-nn-ensemble-training", "kernel_id": "65422151"}, {"ref": "zhiyue666/isic-2024-nnfeature-to-gbdt-training", "kernel_id": "65423555"}, {"ref": "mobin555/isic-2024-magic-noise-for-lb-overfit", "kernel_id": "65325019"}, {"ref": "charlesrclark/notebook69e60a94e4", "kernel_id": "65609483"}, {"ref": "isaachirsch/representation-training-w-test", "kernel_id": "65195400"}, {"ref": "mikolajkloczewski/isic-multimodal-pytorch-training-160lb-146pb", "kernel_id": "65330729"}, {"ref": "nidhaljegham/isic-cancer-detection-try-13", "kernel_id": "65254264"}, {"ref": "naishamishra/isic-cnn-model", "kernel_id": "65591234"}, {"ref": "jiawren/isic-2024-magic-noise-for-lb-overfit-8d578b", "kernel_id": "65278596"}, {"ref": "growwithdata/isic-2024-ensemble-of-3-solutions", "kernel_id": "65322474"}, {"ref": "hasansaifuddin/low-data-descripency-ensembles", "kernel_id": "65317814"}, {"ref": "hasansaifuddin/2ndisic-2024", "kernel_id": "65319498"}, {"ref": "hasansaifuddin/late-isic2nd", "kernel_id": "65377690"}, {"ref": "hasansaifuddin/isic-2024-notebook", "kernel_id": "65146969"}, {"ref": "ritikvaraganti/fork-of-isic-2024-2-image-lines-94e65f-2cc555", "kernel_id": "65840682"}, {"ref": "ajayasaithambi/isic-2024-tabular-data-cnn-31-08", "kernel_id": "65029620"}, {"ref": "yich723/ensemble-mlpclassifiers", "kernel_id": "65201156"}, {"ref": "linheshen/isic-2024-magic-noise-for-lb-overfit", "kernel_id": "65317971"}, {"ref": "brandtolson/isic-sub-en0-bes-2", "kernel_id": "65362514"}, {"ref": "brandtolson/isic-sub-sn-v1", "kernel_id": "65668432"}, {"ref": "trcnveli/isic-2024-5-image-models-glcm", "kernel_id": "65371856"}, {"ref": "kaggleuserr2/base-efficientnet-b4", "kernel_id": "65158533"}, {"ref": "kaggleuserr2/last-attempt-4", "kernel_id": "65343360"}, {"ref": "tathyumpooja/isic-image", "kernel_id": "65009819"}, {"ref": "hexinrong/isic-2024-2-image-lines", "kernel_id": "65013185"}, {"ref": "hexinrong/isic-2024-ensemble-of-3-solutions", "kernel_id": "65343886"}, {"ref": "akashkanojiya/speedy-resnet-model", "kernel_id": "66234997"}, {"ref": "mdismielhossenabir/isic-2024", "kernel_id": "66008384"}, {"ref": "anuragdhawale/image-classification-isic-skin-cancer", "kernel_id": "66014627"}, {"ref": "dngtrnc/infer-notebook", "kernel_id": "66257584"}, {"ref": "dngtrnc/finetuning-models", "kernel_id": "66016014"}, {"ref": "nhvdev/skincancerdetection", "kernel_id": "66978233"}, {"ref": "bagusadisaka/scriptsea", "kernel_id": "66941949"}, {"ref": "kattaramarakshith/custom-loss-2-0", "kernel_id": "66107879"}, {"ref": "srivabhi22/skin-cancer-detection", "kernel_id": "66468398"}, {"ref": "spherius/finetuning-models-f099f2", "kernel_id": "66316131"}, {"ref": "spherius/infer-notebook-convnext", "kernel_id": "66311567"}, {"ref": "kusssssss/isic-transformer-extraction", "kernel_id": "66935434"}, {"ref": "juhanfreitas/theresnotimetorelax", "kernel_id": "67146372"}, {"ref": "sudarshan1927/skincancer", "kernel_id": "67084350"}, {"ref": "arunkarthik13/isic2024-efficientnet", "kernel_id": "67094309"}, {"ref": "potlurisriharshitha/3d-tbp", "kernel_id": "67087194"}, {"ref": "vangalabhargavi/3d-tbp-b", "kernel_id": "67107485"}, {"ref": "vangalabhargavi/3d-tbp-caps", "kernel_id": "67321769"}, {"ref": "vangalabhargavi/3d-tbp-ucm", "kernel_id": "67339531"}, {"ref": "sahilsbaviskar/random-forest", "kernel_id": "67981412"}, {"ref": "sambhaviguptaa/skin-cancer-detection", "kernel_id": "67703715"}, {"ref": "chenchentong/skin-cancer-classifier", "kernel_id": "67541254"}, {"ref": "elhaddajiotmane/image-enhancer", "kernel_id": "67977658"}, {"ref": "t109310333/isic-submit", "kernel_id": "68915424"}, {"ref": "hasanmahmudabdullah/skin-cancer-detection", "kernel_id": "68906158"}, {"ref": "wanyizhouzzz/first-place-submission-1", "kernel_id": "68683574"}, {"ref": "wanyizhouzzz/isic-2024-catboost", "kernel_id": "68901315"}, {"ref": "t109310333/isic-submit2", "kernel_id": "69470385"}, {"ref": "cvdfardinibrahimi/skin-cancer-detection-keras", "kernel_id": "69043885"}, {"ref": "thntrngtnh/isic-2024-ensemble", "kernel_id": "69312825"}, {"ref": "idorosiner/isic-final-submission", "kernel_id": "70273148"}, {"ref": "giovannibudi/isic-2024", "kernel_id": "70320838"}, {"ref": "kasyfilalbar/isic-images-transformation", "kernel_id": "70798815"}, {"ref": "kasyfilalbar/isic-pytorch-baseline-efficientnet", "kernel_id": "70860188"}, {"ref": "hasanmahmudabdullah/skin-cancer-detection-densenet121", "kernel_id": "70113709"}, {"ref": "phanlannnnn/mobilenet-v2-notebook1", "kernel_id": "70316806"}, {"ref": "vangalabhargavi/3d-tbp-second", "kernel_id": "70445208"}, {"ref": "araddhaekanto/scc-enb0", "kernel_id": "70679988"}, {"ref": "zeyadelshenhab/cancer-project", "kernel_id": "70036227"}, {"ref": "ekanto/skin-cancer-detection-14bb44", "kernel_id": "70111427"}, {"ref": "ekanto/scc-enb1", "kernel_id": "70681458"}, {"ref": "sevennguyn/mobilenet-v2-notebook1", "kernel_id": "70076399"}, {"ref": "fahimshihab/scc-evit", "kernel_id": "70682136"}, {"ref": "fahimshihab/scc-enb1-new-bl-rc-coljitt", "kernel_id": "70900518"}, {"ref": "akashkanojiya/cancer-prediction-isic-2024", "kernel_id": "71019888"}, {"ref": "kasyfilalbar/isic-pytorch-baseline-vit", "kernel_id": "71042313"}, {"ref": "khalidlemoude/isic2024-kerascv-starter", "kernel_id": "71759397"}, {"ref": "zyh1104/029-isic-2024-skin-cancer-detection-with-3d-tbp", "kernel_id": "71513625"}, {"ref": "dinhovco/isic2024-eda", "kernel_id": "71412660"}, {"ref": "araddhaekanto/scc-enb1-new-bl-rc-coljitt-cont", "kernel_id": "71291257"}, {"ref": "giobudi/isic-2024", "kernel_id": "71782114"}, {"ref": "polybsavage/final-project-tabular-only-notebook-1", "kernel_id": "71934025"}, {"ref": "polybsavage/final-project-tabular-only-notebook-2", "kernel_id": "71864231"}, {"ref": "ashleyw1234aw/cancer-detection", "kernel_id": "71851341"}, {"ref": "ekanto/scc-enb1-new-bl-rc-coljitt-br", "kernel_id": "71522621"}, {"ref": "ekanto/scc-enb1-new-bl-rc-coljitt", "kernel_id": "71487195"}, {"ref": "ekanto/fork-of-scc-enb1-no-rc-no-rr-all-trans-norm", "kernel_id": "71747066"}, {"ref": "mehreenmubashar/final-project", "kernel_id": "72826951"}, {"ref": "mehreenmubashar/ensemble-voting-isic-final", "kernel_id": "72258324"}, {"ref": "fernandapratama/skin-cancer-detection-using-watershed-segmentation", "kernel_id": "72145732"}, {"ref": "fbiopapais/lux-ai-isic24-inference", "kernel_id": "72096170"}, {"ref": "nataliecheong/skin-cancer-detection-with-3d-tbp", "kernel_id": "72233031"}, {"ref": "maishaidaralkhateeb/mais-isic-2024-chal", "kernel_id": "72501163"}, {"ref": "maishaidaralkhateeb/improvement-of-mais-isic-2024-chal", "kernel_id": "72721567"}, {"ref": "dinhovco/isic2024-full", "kernel_id": "72139965"}, {"ref": "maishaideralkhateeb/mais-isic-2024-chal", "kernel_id": "72018696"}, {"ref": "zhenixu/skin-cancer-large-vit", "kernel_id": "72983960"}, {"ref": "hasanmahmudabdullah2/fork-of-scc-enb1-hf-rr-adasyn", "kernel_id": "72676670"}, {"ref": "matthieuouvrard/notebook40578cae-ilumnia", "kernel_id": "72883365"}, {"ref": "mhdiirsyad/isic-2024-skin-cancer-prediction", "kernel_id": "72423204"}, {"ref": "lezwon/logistic", "kernel_id": "73221195"}, {"ref": "tomo20180402/isic2024-tomo20180402-solution", "kernel_id": "73628551"}, {"ref": "nanigock/fork-of-notebookaa4cb82be0", "kernel_id": "73162264"}, {"ref": "adiths04/skinlesion-final", "kernel_id": "73982033"}, {"ref": "dhevmugunddhana333/tree-based-models", "kernel_id": "73828784"}, {"ref": "ahandle/isic-2024-siglip", "kernel_id": "73769506"}, {"ref": "clarinriya/folds-deit", "kernel_id": "73696177"}, {"ref": "clarinriya/isic-vit-training-baseline-image-only", "kernel_id": "73640594"}, {"ref": "clarinriya/notebookd7103306d4", "kernel_id": "73619704"}, {"ref": "filipzde/cancerclassification", "kernel_id": "73827800"}, {"ref": "hasanmahmudabdullah3/cyclegan-training", "kernel_id": "73312395"}, {"ref": "hemanthnov2001/cancer-detection", "kernel_id": "74504507"}, {"ref": "dhevmugunddhana333/cnn-based-models", "kernel_id": "74593390"}, {"ref": "ahandle/ensemble-siglip", "kernel_id": "74759101"}, {"ref": "maishaidaralkhateeb/isic-3d-tbp-hybird-model-effitab-skinnet", "kernel_id": "74811229"}, {"ref": "ramzz235/5th-place", "kernel_id": "75944675"}, {"ref": "ramzz235/first-place", "kernel_id": "75944696"}, {"ref": "ramzz235/isic-latest-submission", "kernel_id": "75943447"}, {"ref": "ramzz235/2nd-place", "kernel_id": "75972338"}, {"ref": "alejandravillarreal/arc-games-training-dimensions", "kernel_id": "75066044"}, {"ref": "nani123456789/feature-importance-in-melanoma-classification", "kernel_id": "75125832"}, {"ref": "lezwon/isic-2024-exploratory-data-analysis", "kernel_id": "76790082"}, {"ref": "ramzz235/367th", "kernel_id": "76044161"}, {"ref": "emanasad/isic-2024-resnet-5a6f93", "kernel_id": "76637645"}, {"ref": "shreyaasanap/skin-cancer-detection", "kernel_id": "76442283"}, {"ref": "gerardmuozluceo/practica-1-copia", "kernel_id": "76833347"}, {"ref": "fatmamahmoud22/skin-cancer-nti", "kernel_id": "77992068"}, {"ref": "fatmamahmoud22/skin-cancer", "kernel_id": "77324831"}, {"ref": "ahmedsameh20796/skin-cancer-detection-nti-team", "kernel_id": "77327818"}, {"ref": "ramzz235/last-attempt-4", "kernel_id": "77354671"}, {"ref": "dhevmugunddhana333/mobilevit-with-keras-3", "kernel_id": "77929141"}, {"ref": "dhevmugunddhana333/vision-transformer-with-keras-3", "kernel_id": "77311279"}, {"ref": "sailakshman11/15000-isic2024", "kernel_id": "77310911"}, {"ref": "ayeshazulifqar841932/notebook68b1805f55", "kernel_id": "77512349"}, {"ref": "fatmamahmoud22/skin-cancer-sample", "kernel_id": "78117248"}, {"ref": "dragula17/isic-vit", "kernel_id": "78532238"}, {"ref": "ramzz235/download-library", "kernel_id": "78382743"}, {"ref": "ramzz235/dhevcode3", "kernel_id": "78415733"}, {"ref": "atieameri/skin-liaison-classification-transferlearning", "kernel_id": "78856698"}, {"ref": "dhevmugunddhana333/isic-medmamba-submissions", "kernel_id": "78487657"}, {"ref": "amirahemdan/skin-cancer-dataset-ipynb", "kernel_id": "78018632"}, {"ref": "ayeshazulifqar841932/cnn-model", "kernel_id": "78337820"}, {"ref": "ayeshazulifqar841932/improvement-of-mais-isic-2024-chal", "kernel_id": "78615642"}, {"ref": "ayeshazulifqar841932/isic2024-kerascv-starter", "kernel_id": "78723600"}, {"ref": "xxinyue917/isic-2024-sota-knowledge-distillation-updating", "kernel_id": "78589546"}, {"ref": "atieameri/01-isic-2024-no-transfer", "kernel_id": "79111885"}, {"ref": "rahulladhani/fork-of-cutting-edge-deep-learning-model-for-skin", "kernel_id": "79505410"}, {"ref": "flyingzambie/skin-cancer-detection-using-cnn-svm-and-xgb", "kernel_id": "79068079"}, {"ref": "pavansriram3/model-without-databalancing", "kernel_id": "79453974"}, {"ref": "hemalalitha/notebook66fb8a6bb9", "kernel_id": "79426094"}, {"ref": "roguee56/notebook8888dd0bc7", "kernel_id": "79784819"}, {"ref": "khaledabdo/isic-2024", "kernel_id": "80716816"}, {"ref": "hamdanishfaq/hamdan-work", "kernel_id": "80997464"}, {"ref": "nirmitgavate1/isic-research", "kernel_id": "80321928"}, {"ref": "adamelbassimi/skin-disease-classifier", "kernel_id": "80540952"}, {"ref": "mahmoudaboras/isic-2024", "kernel_id": "80391063"}, {"ref": "zzww213/notebook3cbeab6fc2", "kernel_id": "80646244"}, {"ref": "adiths04/tpu-benign", "kernel_id": "81692388"}, {"ref": "victoriarlevy/vlevy-isic2024", "kernel_id": "81962627"}, {"ref": "iqrashabbir919/isic-skin-cancer", "kernel_id": "81970674"}, {"ref": "polybob/onehotselectkbxgbblend", "kernel_id": "81937190"}, {"ref": "xxinyue917/isic-2024-knowledge-distillation-gbdt", "kernel_id": "81200956"}, {"ref": "adithsbiju/skinlesion-final", "kernel_id": "81025237"}, {"ref": "weihaojin1234/notebook9718681f0b", "kernel_id": "81140824"}, {"ref": "kkose227955/ablation-study-environment", "kernel_id": "83334007"}, {"ref": "ekadharmapranoto/skin-cancer-image-gen-ai-3", "kernel_id": "83826632"}, {"ref": "mauragillis19046/ablation-study-starter-environment", "kernel_id": "83398847"}, {"ref": "asimkbaloch/fyp-implementation", "kernel_id": "83659545"}, {"ref": "asimkbaloch/isic-multiple-models-stacking", "kernel_id": "83694707"}, {"ref": "adithsbiju/test-notebook", "kernel_id": "83919573"}, {"ref": "joaopaulodealmeida/skin-cancer-competition", "kernel_id": "84149415"}, {"ref": "sujitmishra64/skin-cancer-notebook-v2", "kernel_id": "84565577"}, {"ref": "sujitmishra64/melanoma-detection", "kernel_id": "84570504"}, {"ref": "owentj/ham10000-cnn", "kernel_id": "88435829"}, {"ref": "agrimtripathi/tabular-final-kgadintras", "kernel_id": "89231470"}, {"ref": "ibtissama/skin-cancer-detection-pfe", "kernel_id": "90686933"}, {"ref": "adnankust/isic2024-kerascv-starter", "kernel_id": "93357576"}, {"ref": "able23/densenet-resnet-vgg16-isic2024", "kernel_id": "93502310"}, {"ref": "stephanienadya/se-skin-cancer", "kernel_id": "94799427"}, {"ref": "kucingggterbang/cnn-skin-cancer-simpel", "kernel_id": "94778687"}, {"ref": "tejakapuganty/swin-transformer", "kernel_id": "100333816"}, {"ref": "sunzilkhandaker/isic-chalange-2024", "kernel_id": "101128834"}, {"ref": "bishal00/my-work", "kernel_id": "103212622"}, {"ref": "vianbromokusumo/dl-final-project-effnet", "kernel_id": "103361542"}, {"ref": "zhaoxiaotan/isic-2024-efficiency-lb", "kernel_id": "103813438"}, {"ref": "trnlmngc/tr-n-thy-ng-c", "kernel_id": "103551524"}, {"ref": "nhnhcgdfgdf/kim-ng-c-n", "kernel_id": "103549843"}, {"ref": "nocarbonintelligence/isic-skin-cancer-detection", "kernel_id": "103256578"}, {"ref": "ililune/notebook2bb26caf42", "kernel_id": "103844989"}, {"ref": "trnlmngc/notebookc5ed615f05", "kernel_id": "104377854"}, {"ref": "abdallahelgendy/skin-cancer-isic-2024", "kernel_id": "105898884"}, {"ref": "kimiabahrami/notebooke4f178396f", "kernel_id": "105088289"}, {"ref": "trnlmngc/notebook68f48f5f0b", "kernel_id": "105076707"}, {"ref": "thyltrnphng/notebook68f48f5f0b-bce8e2", "kernel_id": "105690468"}, {"ref": "thyltrnphng/notebook68f48f5f0b", "kernel_id": "105101983"}, {"ref": "narcissismmmmmm/isic-pytorch-training-baseline-image-tabular", "kernel_id": "105016239"}, {"ref": "romirbedekar/dinov2", "kernel_id": "106863989"}, {"ref": "trnlmngc/notebook9b4d9148c2", "kernel_id": "106622107"}, {"ref": "trnlmngc/notebookc7f86deffc", "kernel_id": "106369475"}, {"ref": "trnlmngc/notebook1bf1ce4ac8", "kernel_id": "106009129"}, {"ref": "trnlmngc/notebookd8bc1cbb80", "kernel_id": "106146216"}, {"ref": "trnlmngc/notebook07fa30723d", "kernel_id": "106206771"}, {"ref": "trnlmngc/m-t-ver-m-i-n-a", "kernel_id": "106216391"}, {"ref": "trnlmngc/m-t-d-li-u", "kernel_id": "106285530"}, {"ref": "trnlmngc/resnet", "kernel_id": "106875831"}, {"ref": "thyltrnphng/eficientnet", "kernel_id": "106269788"}, {"ref": "thyltrnphng/notebook07fa30723d", "kernel_id": "106218197"}, {"ref": "saifuddinreadoy123/img-num-k", "kernel_id": "107007619"}, {"ref": "anshchauhan248/skin-2-0", "kernel_id": "108781875"}, {"ref": "romirbedekar/dinov2-with-edgnxt", "kernel_id": "109513034"}, {"ref": "furkankocaman/isic-2024-classification", "kernel_id": "109471392"}, {"ref": "furkankocaman/isic2024-classification-new", "kernel_id": "109974569"}, {"ref": "osmanozcanli/isic2024-kerascv-starter", "kernel_id": "110743729"}, {"ref": "whoakashpatel/cs23i1055-lab04-dl", "kernel_id": "111345851"}, {"ref": "furkankocaman/tezcalismasiisic2024", "kernel_id": "111062137"}, {"ref": "osmanozcanli/isic-2024-skin-cancer-detection-with-3d-tbp-ef", "kernel_id": "111723638"}, {"ref": "bossscx/skin-lesion-classification", "kernel_id": "113514090"}, {"ref": "osmanozcanli/isic-2024-inference-skin-cancer-detection", "kernel_id": "113195084"}, {"ref": "tanishkabais/isic-ensemble", "kernel_id": "115758375"}, {"ref": "niket47/id-final-project-1", "kernel_id": "117475773"}, {"ref": "gmmohiuddin/isic-2024-skin-cancer-detection-densenet121", "kernel_id": "117970174"}, {"ref": "ttins1702/swin-mdep-notebook", "kernel_id": "122861009"}, {"ref": "ttins1702/swin-mdep-1", "kernel_id": "122867464"}, {"ref": "najwaaqila/multimodalmobilevitv2lesikulit-1", "kernel_id": "122028174"}, {"ref": "hasanmahmuds/notebook11347da557", "kernel_id": "122018401"}, {"ref": "hasanmahmuds/notebook802b072c78", "kernel_id": "122018404"}, {"ref": "hasanmahmuds/notebook59de3c58fb", "kernel_id": "122087394"}, {"ref": "hasanmahmuds/notebook2556cdabc3", "kernel_id": "122087527"}, {"ref": "accfbfaifai/isic-dataset-gen", "kernel_id": "123070726"}, {"ref": "hieu12207/mdep-resnet50", "kernel_id": "123069180"}, {"ref": "hieu12207/resnet50backbone", "kernel_id": "123028889"}, {"ref": "seekersgame/isic-md-heirarchicalfilm-create-folds", "kernel_id": "123887609"}, {"ref": "seekersgame/isic-md-heirarchicalfilm-train-folds-0-1", "kernel_id": "123894240"}, {"ref": "ttins1702/notebook48e7f0c2fa", "kernel_id": "124156537"}, {"ref": "farhanaz08/isic-md-missingnessawaregating-film-combinedresult", "kernel_id": "124966671"}, {"ref": "farhanaz08/isic-md-missingnessawaregating-film-create-folds", "kernel_id": "124955284"}, {"ref": "ducnguyen1102/notebookda7b0ff518", "kernel_id": "124483705"}, {"ref": "ducnguyen1102/notebook7660d81b90", "kernel_id": "124022807"}, {"ref": "accfbfaifai/resnet-ablation-random", "kernel_id": "124176123"}, {"ref": "accfbfaifai/resnet-ablation-threshold", "kernel_id": "124176274"}, {"ref": "flyingninjakaggle/skinisic1", "kernel_id": "125548404"}, {"ref": "ttins1702/guds-ablation-test", "kernel_id": "125388264"}, {"ref": "farhanaz08/isic-md-missingnessawaregating-film-trainfolds2-3", "kernel_id": "125280798"}, {"ref": "farhanaz08/isic-md-missingnessawaregating-film-trainfolds0-1", "kernel_id": "125593139"}, {"ref": "ausw900/isic-2024-edgenext-mlp", "kernel_id": "125214479"}, {"ref": "ausw900/isic-2024-base-edgenext", "kernel_id": "125468189"}, {"ref": "hieu12207/notebook93590af0d7", "kernel_id": "125389181"}, {"ref": "nguynmnhtr123/notebookfe9f1c04a1", "kernel_id": "125255723"}, {"ref": "nguynmnhtr123/notebook9df941ce99", "kernel_id": "126623068"}, {"ref": "nguynmnhtr123/notebook7c026f676e", "kernel_id": "126773316"}, {"ref": "nguynmnhtr123/notebook71a15c3bb0", "kernel_id": "126450284"}, {"ref": "hehe98765/isic-2024-evaluation-and-comparison", "kernel_id": "126903838"}, {"ref": "giapngdang/notebook98b5bdb5af", "kernel_id": "126048934"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-image-trainfold0-1", "kernel_id": "128779070"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-image-trainfold2-3", "kernel_id": "128859518"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-meta-trainfolds2-3", "kernel_id": "128360270"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-meta-trainfolds0-1", "kernel_id": "128257502"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-image-result", "kernel_id": "129469386"}, {"ref": "ausw900/final-isic-2024-test", "kernel_id": "130383565"}, {"ref": "ashiasultana/isic-md-missing-aw-ga-fi-asym-miss-trainfold2-3", "kernel_id": "131684878"}, {"ref": "seekersgame/isic-md-crossmodalfilm-train-folds-2-3", "kernel_id": "131690073"}, {"ref": "aftabhussaincui/isic-detect-skin-cancer-grounded-dino-sam", "kernel_id": "132676490"}, {"ref": "aryachovapratama/sinta3-juti", "kernel_id": "135821136"}]}
{"competition_id": "63082", "kernels": []}
{"competition_id": "63087", "kernels": [{"ref": "shwetapatil1403/digit-recognition-by-shwetzz", "kernel_id": "50982567"}, {"ref": "nikunjhemani/handwritten-digits-classification-neural-network", "kernel_id": "50334203"}, {"ref": "kashish50/digit-recognizer-0-962", "kernel_id": "54391041"}, {"ref": "kashish50/digit-recognizer-cnn-0-98", "kernel_id": "54391242"}]}
{"competition_id": "63098", "kernels": [{"ref": "henryshan/starter-gradientboosting", "kernel_id": "47486244"}, {"ref": "henryshan/starter-svm", "kernel_id": "47484720"}, {"ref": "henryshan/starter-random-forest", "kernel_id": "47445032"}, {"ref": "frank299401/starter-gradientboosting", "kernel_id": "47488653"}, {"ref": "yasvanthikak21itr122/world-weather-prediction", "kernel_id": "49214458"}]}
{"competition_id": "63103", "kernels": [{"ref": "mirzamuddasar/inceptionresnetmodel", "kernel_id": "46466843"}, {"ref": "mirzamuddasar/vggface", "kernel_id": "46376481"}, {"ref": "hareembilal/notebook4e9aa18e64", "kernel_id": "46405066"}, {"ref": "hareembilal/notebook260d63c8d5", "kernel_id": "46486236"}, {"ref": "hareembilal/notebookb7d5295745", "kernel_id": "46451892"}, {"ref": "nithunith/faceclassification-pytroch", "kernel_id": "50274281"}, {"ref": "umerellous/face-classification", "kernel_id": "88806533"}]}
{"competition_id": "63134", "kernels": [{"ref": "vedant2003pandey/aerospace-engima-auto-encoders", "kernel_id": "45654966"}, {"ref": "abhishekrajeshmistry/notebooke1d34aae6c", "kernel_id": "45755411"}, {"ref": "utkarsh1236/image-classification-task", "kernel_id": "46089927"}, {"ref": "shreyanshsinha1oo/lr-problem-statement3", "kernel_id": "46367295"}, {"ref": "moonstone34/p3-aioverlords", "kernel_id": "46575626"}, {"ref": "ankitupadhyay12/aerospace-enigma-gradient-geeks", "kernel_id": "46580328"}, {"ref": "redder02/aeroplane-mystery", "kernel_id": "46577868"}, {"ref": "shaurya410/the-aerospace-enigma", "kernel_id": "46152061"}, {"ref": "adityajaipuriar/aerospace-image-classification", "kernel_id": "111115613"}]}
{"competition_id": "63150", "kernels": [{"ref": "rifqinaufalabdjul/praktikum-rnn-mll", "kernel_id": "45202278"}]}
{"competition_id": "63161", "kernels": [{"ref": "tobirohrer/example-solution", "kernel_id": "45172144"}, {"ref": "testtobirohrer/participant-solution", "kernel_id": "45173556"}, {"ref": "lakshayjain611/anomaly-detection-solution", "kernel_id": "45178359"}]}
{"competition_id": "63163", "kernels": [{"ref": "rech22/guide-to-a-basic-submission-fall-2023", "kernel_id": "45158408"}, {"ref": "hitman69/8th-place-solution-defective-cookies-0-75862", "kernel_id": "45274226"}, {"ref": "guanlintao/h2o-voting-defective-cookie-detection", "kernel_id": "45235956"}, {"ref": "mariyamalshatta/defected-cookies-0-72413-accuract", "kernel_id": "45176530"}]}
{"competition_id": "63164", "kernels": []}
{"competition_id": "63167", "kernels": []}
{"competition_id": "63170", "kernels": []}
{"competition_id": "63173", "kernels": []}
{"competition_id": "63230", "kernels": []}
{"competition_id": "63231", "kernels": []}
{"competition_id": "63232", "kernels": []}
{"competition_id": "63243", "kernels": [{"ref": "marius2303/top-4-itmo-flat-price-prediction-cbr-optuna", "kernel_id": "62575610"}]}
{"competition_id": "63247", "kernels": []}
{"competition_id": "63309", "kernels": [{"ref": "askboxnet/lightgbm-stratifiedkfold-dudss-2023-stroke", "kernel_id": "45472031"}, {"ref": "jeremiahshen/notebook448bfbc104", "kernel_id": "45782891"}]}
{"competition_id": "63319", "kernels": [{"ref": "moisougata/week-of-ml", "kernel_id": "45574387"}, {"ref": "maksymshrimp/f1-0-92-mak-kry", "kernel_id": "45526547"}]}
{"competition_id": "63328", "kernels": []}
{"competition_id": "63329", "kernels": []}
{"competition_id": "63347", "kernels": [{"ref": "yerassylabylkassym/toxic-nlp-transformers", "kernel_id": "82214394"}, {"ref": "yerassylabylkassym/toxic-nlp-tfidf", "kernel_id": "82212913"}]}
{"competition_id": "63353", "kernels": [{"ref": "vojtechstas/make-submission", "kernel_id": "45342063"}, {"ref": "davidhlavenka/make-submission-7ff26e", "kernel_id": "47469813"}, {"ref": "kanepavlovich/predicting-apartment-prices-in-the-czech-republic", "kernel_id": "91873027"}]}
{"competition_id": "63364", "kernels": [{"ref": "vedant2003pandey/anyanlptransformers", "kernel_id": "45882998"}, {"ref": "yannchikk/anya-s-gojo-revival-space-shop-train", "kernel_id": "45883949"}, {"ref": "yannchikk/anya-s-gojo-revival-space-shop-infern", "kernel_id": "45935422"}, {"ref": "hrithiman/8bitguys-final-notebook-f1-score-0-51", "kernel_id": "45697006"}, {"ref": "kaalokggle/lr-ps4-new", "kernel_id": "46332827"}, {"ref": "moonstone34/p4-aioverlords", "kernel_id": "46294363"}, {"ref": "khanakpatwari/ps4-space-shop", "kernel_id": "46165094"}, {"ref": "redder02/final", "kernel_id": "46543325"}, {"ref": "shaurya410/nlp-model", "kernel_id": "46308042"}, {"ref": "shaurya410/space-shop", "kernel_id": "46764685"}, {"ref": "bilgingunes/anya-s-gojo-revival-space-shop", "kernel_id": "84032547"}]}
{"competition_id": "63375", "kernels": []}
{"competition_id": "63407", "kernels": []}
{"competition_id": "63418", "kernels": []}
{"competition_id": "63423", "kernels": []}
{"competition_id": "63430", "kernels": [{"ref": "kubotahirohisa/wide-angel-mws-cup-2023-3rd-palce-solution", "kernel_id": "45397580"}]}
{"competition_id": "63439", "kernels": []}
{"competition_id": "63448", "kernels": []}
{"competition_id": "63460", "kernels": [{"ref": "itslek/baseline-v1", "kernel_id": "45459204"}, {"ref": "exitof/cryptoprediction2-sb", "kernel_id": "53446844"}, {"ref": "d4nilz/demystifying-the-target-variable", "kernel_id": "63482846"}]}
{"competition_id": "63466", "kernels": []}
{"competition_id": "63470", "kernels": []}
{"competition_id": "63472", "kernels": []}
{"competition_id": "63474", "kernels": []}
{"competition_id": "63502", "kernels": []}
{"competition_id": "63509", "kernels": []}
{"competition_id": "63515", "kernels": [{"ref": "yannchikk/ml-ece-ntua-model-for-classification", "kernel_id": "45698634"}]}
{"competition_id": "63524", "kernels": []}
{"competition_id": "63577", "kernels": []}
{"competition_id": "63631", "kernels": []}
{"competition_id": "63685", "kernels": []}
{"competition_id": "63745", "kernels": []}
{"competition_id": "63754", "kernels": [{"ref": "arnavvikasgarg1/notebook290260242f", "kernel_id": "45692993"}]}
{"competition_id": "63768", "kernels": [{"ref": "yannchikk/machine-text-detection-ai-train-infern", "kernel_id": "46525121"}]}
{"competition_id": "63794", "kernels": []}
{"competition_id": "63801", "kernels": []}
{"competition_id": "63808", "kernels": [{"ref": "kishoreharshankumar/sjce-kaggle-event", "kernel_id": "45746636"}, {"ref": "leojoamalans/notebookabed7bfc6c", "kernel_id": "45742709"}, {"ref": "srinithikmk/data-wizards-malware-detection", "kernel_id": "45743312"}, {"ref": "srinithikmk/fork-of-data-wizards-malware-detection", "kernel_id": "45805603"}]}
{"competition_id": "63815", "kernels": []}
{"competition_id": "63824", "kernels": []}
{"competition_id": "63883", "kernels": [{"ref": "epicraven/malware-detections-system", "kernel_id": "133266006"}]}
{"competition_id": "63893", "kernels": []}
{"competition_id": "63894", "kernels": [{"ref": "kirillkuznetsov1728/notebooka1603f6cc4", "kernel_id": "45815135"}, {"ref": "huxuebing/notebooka1603f6cc4", "kernel_id": "84688959"}, {"ref": "jth214/notebooka1603f6cc4", "kernel_id": "84688968"}]}
{"competition_id": "63899", "kernels": [{"ref": "librauee/baseline-submission", "kernel_id": "45805056"}]}
{"competition_id": "63958", "kernels": [{"ref": "onepathsilkworm/notebookdfed7035ac", "kernel_id": "47497866"}, {"ref": "andrepopescu369/cifar-project", "kernel_id": "49222358"}]}
{"competition_id": "63966", "kernels": [{"ref": "canzay/simple-random-forest-for-absolute-beginners", "kernel_id": "46751932"}, {"ref": "blueshowmaker/automl-i-need-more-time", "kernel_id": "47891221"}, {"ref": "blueshowmaker/notebook001f584844", "kernel_id": "47887039"}, {"ref": "blueshowmaker/automl", "kernel_id": "47887326"}]}
{"competition_id": "64007", "kernels": [{"ref": "rsesha/bseap-featureviz-suloclassifier-high-accuracy", "kernel_id": "46922352"}]}
{"competition_id": "64020", "kernels": []}
{"competition_id": "64033", "kernels": []}
{"competition_id": "64060", "kernels": []}
{"competition_id": "64063", "kernels": []}
{"competition_id": "64132", "kernels": [{"ref": "asztyber/kod-do-lab5", "kernel_id": "45977984"}]}
{"competition_id": "64137", "kernels": [{"ref": "mdabrarjahin/banglabert-private-0-81003-public-0-85281", "kernel_id": "46625871"}, {"ref": "samansarkerjoy/two-braincells-public-0-84796-private-0-83176", "kernel_id": "46697565"}, {"ref": "nirob5315/muril", "kernel_id": "46492892"}, {"ref": "nirob5315/muril-v-1", "kernel_id": "46651093"}, {"ref": "niazmohaimanabtahi/cuet-nlp-inference-final", "kernel_id": "46629926"}, {"ref": "mahfuzulkabirsourav/banglabert-trial-2-ipynb", "kernel_id": "46531145"}, {"ref": "mahfuzulkabirsourav/eda-with-bengali-book-review-dataset", "kernel_id": "46694283"}, {"ref": "yeasirar/cuet-ml-competition", "kernel_id": "46632054"}, {"ref": "shafakatarnob/ml-comp-cuet-2023-attempt-2", "kernel_id": "46648655"}, {"ref": "raiyanzannat/genre-prediction-final", "kernel_id": "46840019"}, {"ref": "ashrafulislamparan/book-genre-classification-using-banglabert", "kernel_id": "46514306"}, {"ref": "masrur777/fork-of-bert-classifier-sliced-summ", "kernel_id": "46559846"}, {"ref": "ankitkumar8252/muril-v-1", "kernel_id": "120505439"}]}
{"competition_id": "64148", "kernels": [{"ref": "dschettler8845/tlal-pii-data-detection-eda-learn-with-me", "kernel_id": "50747197"}, {"ref": "gowrishankarp/tpu-train-gemma-7b-bfloat16-pytorch-xla", "kernel_id": "50978014"}, {"ref": "toshik/gemma-meets-langchain-summarize-kaggle-writeups", "kernel_id": "51503396"}, {"ref": "kewltek/gemma-discovery", "kernel_id": "51440505"}, {"ref": "metanov/gemma-7b-finetuned-rag-qa-kaggle-competition-wip", "kernel_id": "51239726"}, {"ref": "muhammedazamkhan/starter-notebook-pytorch", "kernel_id": "51391749"}, {"ref": "subashgandyer/gemma-starter-kit-for-transformers", "kernel_id": "51229171"}, {"ref": "felipedamasceno/data-science-teacher-training-and-testing", "kernel_id": "51490043"}, {"ref": "plarmuseau/how-not-to-use-google-gemma", "kernel_id": "51578523"}, {"ref": "vbookshelf/simple-way-to-use-gemma-7b-it-without-crashing", "kernel_id": "51465571"}, {"ref": "donkeys/gemma-v1-1-for-kaggle-writeup-summaries", "kernel_id": "51590376"}, {"ref": "tarique7/kagglegpt-powered-by-gemma", "kernel_id": "51225309"}, {"ref": "hamzaben/asking-gemma-for-simple-data-tasks", "kernel_id": "51406211"}, {"ref": "docxian/gemma-first-steps", "kernel_id": "51236382"}, {"ref": "yashendujoshi/starter-gemma-pytorch-2b-it-gpu", "kernel_id": "51556261"}, {"ref": "kidkoala/getting-started-with-gemma", "kernel_id": "51275776"}, {"ref": "jacoporepossi/text-summarization-with-gemma", "kernel_id": "51633222"}, {"ref": "krishnakantsingh14/qa-fine-tuning-gemma2b-trl-perfume-db", "kernel_id": "51629501"}, {"ref": "krishnakantsingh14/gemma2b-on-gpu", "kernel_id": "51270012"}, {"ref": "vinitkp/gemma-transformers", "kernel_id": "51254009"}, {"ref": "kononenko/how-to-win-this-competition-gemma-s-opinion", "kernel_id": "51447181"}, {"ref": "umar47/gemma-for-rag-systems", "kernel_id": "51276062"}, {"ref": "daonguyenduong/gemma-teach-explain-kaggle-writeups-w-llamaindex", "kernel_id": "51407481"}, {"ref": "bachrr/gemma2b-finetuned-lora-text2sql", "kernel_id": "51270107"}, {"ref": "bachrr/gemma-2b-dolly-qlora-transformers", "kernel_id": "51419660"}, {"ref": "bachrr/gemma-it-transformers-starter", "kernel_id": "51481026"}, {"ref": "bachrr/rag-gemma-it-starter", "kernel_id": "51509150"}, {"ref": "bachrr/gemma-2b-text2sql-qlora-transformers", "kernel_id": "51654515"}, {"ref": "bachrr/gemma-2b-it-rag-with-haystack", "kernel_id": "51893191"}, {"ref": "cakebomb/gemma-llm-assistant-for-python-language", "kernel_id": "51480468"}, {"ref": "memocan/fine-tuned-gemma-unleashing-data-science", "kernel_id": "51580194"}, {"ref": "arthurmorais/gemma-2b-en-finetuned-sqlqa", "kernel_id": "51279849"}, {"ref": "mpwolke/pomp-circumstance-land-of-hope-and-gemma", "kernel_id": "51852561"}, {"ref": "mpwolke/keras-gemma-below-omega-tester", "kernel_id": "51233219"}, {"ref": "mpwolke/thanks-for-delivering-my-writeup-order-gemma", "kernel_id": "51472848"}, {"ref": "mpwolke/hello-python-functions-with-gemma", "kernel_id": "51490942"}, {"ref": "mpwolke/spider-text-to-sql-gemma-keras", "kernel_id": "51526211"}, {"ref": "mpwolke/ai-q-a-gemma-keras-chatbot", "kernel_id": "51527159"}, {"ref": "mpwolke/python-mbpp-q-a", "kernel_id": "51535268"}, {"ref": "mpwolke/kaggle-writeups-gemma-in-keras", "kernel_id": "51432603"}, {"ref": "benthecoder/finetuning-gemma-into-a-data-science-coder", "kernel_id": "51922624"}, {"ref": "mvoulo/gemma-data-science-tutoring", "kernel_id": "51792693"}, {"ref": "faizanshaikh/freemason-draft", "kernel_id": "51446669"}, {"ref": "nvnikhil0001/gemma-2b-beginner-notebook-for-essay", "kernel_id": "51414544"}, {"ref": "alroal98/raggle-the-kaggle-assistant-you-need", "kernel_id": "51522020"}, {"ref": "awsaf49/kaggle-qa-with-gemma-kerasnlp-starter", "kernel_id": "51290896"}, {"ref": "serinirio/rag-gemma", "kernel_id": "51226984"}, {"ref": "iamleonie/rag-with-gemma-on-hf-and-weaviate-in-dspy", "kernel_id": "51427306"}, {"ref": "iamleonie/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "51637918"}, {"ref": "sutikshv/freemason-draft", "kernel_id": "51447035"}, {"ref": "thienanhnguyenbui/stock-prices-analysis-prompts-with-gemma", "kernel_id": "51411043"}, {"ref": "carlmcbrideellis/gemma-i-am-replacing-myself-with-an-llm", "kernel_id": "51287364"}, {"ref": "pranithchowdary/gemma-for-kagglers", "kernel_id": "51251587"}, {"ref": "harikrishnadev/python-questions-with-gemma", "kernel_id": "51730110"}, {"ref": "ianakoto/gemma-llm-kaggle-solution-writeup-agent", "kernel_id": "51917447"}, {"ref": "lonnieqin/generating-questions-and-answers-with-gemma", "kernel_id": "51422625"}, {"ref": "woosungyoon/eda-gemma-pytorch", "kernel_id": "51908474"}, {"ref": "fernandosr85/learning-bioinformatics-with-the-gemma-model", "kernel_id": "51393485"}, {"ref": "bhaveshmittal/python-q-a-gemma-s-llm-mastery-keras", "kernel_id": "51862604"}, {"ref": "vidyalakshmy/gemma-python-programming-q-a", "kernel_id": "51626893"}, {"ref": "mohib94/python-through-small-gemma", "kernel_id": "51511506"}, {"ref": "abelmatas/gemma-assistant-for-data-science-concepts", "kernel_id": "51698168"}, {"ref": "abelmatas/easy-gemma-training", "kernel_id": "51518958"}, {"ref": "abelmatas/fetching-gemma-knowledge-with-transformers", "kernel_id": "51889105"}, {"ref": "abelmatas/fetching-knowledge-gemma-instruct-2b-en", "kernel_id": "51892594"}, {"ref": "warcoder/gemma-langchain-for-rag", "kernel_id": "51405662"}, {"ref": "alexkovyaz/gemma-fine-tuning-topics4titles", "kernel_id": "51994844"}, {"ref": "theocochran/gemma-7b-rag-llindex", "kernel_id": "51446316"}, {"ref": "polaternez/distributed-tune-gemma-7b-tpu", "kernel_id": "51486094"}, {"ref": "sabinaabdurakhmanova/data-science-concepts-with-gemini-and-rag", "kernel_id": "51269525"}, {"ref": "sasakitetsuya/gemma-try-data-science-and-other-fields", "kernel_id": "51456927"}, {"ref": "ibtehajkhan/chatbot-with-gemma-llm-with-telegram-integration", "kernel_id": "51412321"}, {"ref": "danb91/hey-gemma-what-s-a-graph", "kernel_id": "51491759"}, {"ref": "vinayaktiwari28/starter-llm-rag-implementation", "kernel_id": "51267644"}, {"ref": "jocelyndumlao/gemma-llm-fine-tuning-lora-q-a-summaries", "kernel_id": "51805212"}, {"ref": "hendrichscullen/google-ai-assistants-gemma-notebook", "kernel_id": "51407562"}, {"ref": "ektarani/gemma-python-problems", "kernel_id": "51992095"}, {"ref": "agneypraseed/basic-data-science-concepts-with-gemma-2b", "kernel_id": "51411814"}, {"ref": "cemalemrealbayrak/hf-gemma-7b-instruct-qlora-fine-tune-edited", "kernel_id": "51968175"}, {"ref": "hrhuynguyen/building-kaggle-ai-assistant-with-gemma", "kernel_id": "51392216"}, {"ref": "shade012/empowering-gemma-fine-tuning-web-augmentation", "kernel_id": "51534440"}, {"ref": "gowrishankarp/gemma2b-full-parameter-training-pytorch-xla", "kernel_id": "51444100"}, {"ref": "achan31/cookie-cutter-data-science", "kernel_id": "51255090"}, {"ref": "ashioyajotham/gemma-summarizer-kaggle-solutions-pytorch-backend", "kernel_id": "51278800"}, {"ref": "plutogalso/example-gemma-with-lora", "kernel_id": "51511317"}, {"ref": "abiadaikalam/gemma-s-answer-from-paper", "kernel_id": "51982257"}, {"ref": "littleweakweak/finetune-gemma-with-lora-distributed-training", "kernel_id": "51459869"}, {"ref": "jayshah1234/gemma-llm-assistant-for-python-language", "kernel_id": "51527909"}, {"ref": "divyangmandal/gemma-2b-fine-tuned-datascience-python-qna", "kernel_id": "51562019"}, {"ref": "crsuthikshnkumar/google-ai-assistants-comp-nb-crsk", "kernel_id": "51863476"}, {"ref": "sooyoungher/example-gemma-with-lora", "kernel_id": "51398992"}, {"ref": "sooyoungher/imporve-gemma-explain-python-errors", "kernel_id": "51531590"}, {"ref": "sooyoungher/study-prompt-engineering-gemma-2b-it-in-langchain", "kernel_id": "51490385"}, {"ref": "sooyoungher/example-gemma-2b", "kernel_id": "51268745"}, {"ref": "abhijitdarekar001/fine-tuning-gemma-python-code-instruction-and-qa", "kernel_id": "51678760"}, {"ref": "javohirtoshqorgonov/gemma-llm-assistant-for-python-language-promting", "kernel_id": "51513930"}, {"ref": "javohirtoshqorgonov/gemma-llm-assistant-fine-tuning-with-python-data", "kernel_id": "51642952"}, {"ref": "abhinavshaw09/gemma-prompting", "kernel_id": "51392041"}, {"ref": "hoannguyencong/gemma-generating-short-paper-titles-with-rag", "kernel_id": "51859585"}, {"ref": "cybersimar08/gemma-for-data-science-and-python", "kernel_id": "51451323"}, {"ref": "jordanmoyo/gemma-pytorch", "kernel_id": "51480693"}, {"ref": "cheranratnam/final-fine-tuned-few-shot", "kernel_id": "51448407"}, {"ref": "akhiljethwa/gemma-building-ai-assistant-for-data-science", "kernel_id": "51407014"}, {"ref": "ohagwucollinspatrick/getting-started-with-gemma-w-keras", "kernel_id": "51430262"}, {"ref": "cristaliss/chatbot-using-gemma-model-for-python-qa", "kernel_id": "51821681"}, {"ref": "hirdayeshraghav/gemma-1233", "kernel_id": "51948372"}, {"ref": "sammy0605/gemma2b-finetuned-pythonqa", "kernel_id": "51226073"}, {"ref": "thisishusseinali/google-s-gemma-for-kaggle-developers", "kernel_id": "51265716"}, {"ref": "horikitasaku/how-to-finetune-gemma-transformers-gpu-t4-2", "kernel_id": "51740103"}, {"ref": "subhamsarkar2002/gemma", "kernel_id": "51485184"}, {"ref": "vinit0714/exploratory-data-analysis-eda-using-gemma-llm", "kernel_id": "51854840"}, {"ref": "anandkumarkushwaha/gemma-llm-assisting-kaggle-developers", "kernel_id": "51456988"}, {"ref": "andreaskaufmann/gemma-explain-python-errors", "kernel_id": "51435734"}, {"ref": "decentsanage/decoding-python-with-stack-overflow", "kernel_id": "51453135"}, {"ref": "srinukethanaboina/gemma2b-finetuned-lora-text2sql", "kernel_id": "51474452"}, {"ref": "newtonbaba12345/corrective-retrieval-augmented-generation-gemma", "kernel_id": "51481549"}, {"ref": "thomasnissen/pythongpt-python-basics", "kernel_id": "51989286"}, {"ref": "jefersonpazze/gemma-guide-mastering-data-science-essentials", "kernel_id": "51434623"}, {"ref": "nicksatriano/gemma-a-python-assistant", "kernel_id": "51540710"}, {"ref": "niakmajr/rag-with-gemma-to-answer-kaggle-questions", "kernel_id": "51444646"}, {"ref": "pranavkumar19/gemma2b-finetuning", "kernel_id": "51521778"}, {"ref": "pranavkumar19/the-kaggle-forums-bot-gemma2b", "kernel_id": "51556179"}, {"ref": "habibadoum/advanced-rag-with-gemma-and-langchain", "kernel_id": "51829103"}, {"ref": "nezahatkk/english-grammer-teacher-chatbot-with-gemma", "kernel_id": "51280794"}, {"ref": "azrael1810/all-you-need-to-get-started", "kernel_id": "51400476"}, {"ref": "armanzhalgasbayev/fine-tuning-the-gemma-model-for-kaggle-assistant", "kernel_id": "51645213"}, {"ref": "aayushi03puri/google-hack", "kernel_id": "51269286"}, {"ref": "aayushi03puri/notebook136f60cda8", "kernel_id": "51592279"}, {"ref": "frankrilling/fork-of-starter-notebook-pytorch", "kernel_id": "51536943"}, {"ref": "frankrilling/starter-notebook-pytorch", "kernel_id": "51535576"}, {"ref": "asif00/gemma", "kernel_id": "51295100"}, {"ref": "boboliao/bobol", "kernel_id": "51263006"}, {"ref": "gouravlohar/gemma-unveiled-a-beginner-s-tutorial", "kernel_id": "51428962"}, {"ref": "joshlongenecker/gemma-summarization", "kernel_id": "51440703"}, {"ref": "minhsienweng/create-ai-generated-essays-gemma", "kernel_id": "51241613"}, {"ref": "willianoliveiragibin/help-data-science-gemma-llm", "kernel_id": "51246900"}, {"ref": "keshavkumar101/gemma2b-finetuned-pythonqa-keshav", "kernel_id": "51512926"}, {"ref": "shahik15/gemma-rag", "kernel_id": "51582085"}, {"ref": "tafartech/gemma-ds", "kernel_id": "51410543"}, {"ref": "chaozhuang/cheating-data-science-questions-with-wikipedia-rag", "kernel_id": "51452538"}, {"ref": "yorkyong/gemma-trial-ace-a-data-science-interview", "kernel_id": "51468507"}, {"ref": "aixpertlab/ask-python-gemma-answers", "kernel_id": "51400461"}, {"ref": "yujansaya/gemma-with-rag", "kernel_id": "51643852"}, {"ref": "yujansaya/gemma-with-lora-keras-fine-tuning", "kernel_id": "51227956"}, {"ref": "harshitstark/google-ai-assistants-for-data-tasks-with-gemma", "kernel_id": "51433860"}, {"ref": "bas666/notebook90fafc3a2b", "kernel_id": "51245578"}, {"ref": "jiayaf/gemma-ai-assistant-python-jiayaf", "kernel_id": "51854187"}, {"ref": "kamilzafar/gemma-fine-tuning-llm-with-lora", "kernel_id": "51868739"}, {"ref": "yanpapadakis/gemma-2b-pyexamstyle", "kernel_id": "52790030"}, {"ref": "lucamassaron/data-science-ai-assistant-with-gemma-2b-it", "kernel_id": "52583318"}, {"ref": "virilo/is-it-actually-learning-fine-tuning-gemma-2b-it", "kernel_id": "52613511"}, {"ref": "inoueu1/make-a-smart-python-assistant-with-gemma", "kernel_id": "52839476"}, {"ref": "jaguar00/data-science-teaching-agent-graph-approach", "kernel_id": "52867203"}, {"ref": "yudumpacin/turkishaiassistant", "kernel_id": "52789311"}, {"ref": "conyemaobi/gemma-magic-summarizing-kaggle-solution-writeups", "kernel_id": "52168432"}, {"ref": "khankamranali/gemma-huggingface-chat-template", "kernel_id": "52855364"}, {"ref": "khankamranali/gemma-dspy-kaggle-short-answer-and-long-answer", "kernel_id": "52945333"}, {"ref": "bachrr/gemma-fine-tuning-starter", "kernel_id": "52709383"}, {"ref": "mpwolke/prompt-prompt-on-the-wall-gemma-what-s", "kernel_id": "52797577"}, {"ref": "harshilgohil/rag-with-gemma", "kernel_id": "52873298"}, {"ref": "xiaohualu/perform-gemma2b-ner-by-zero-one-fewshot", "kernel_id": "52805589"}, {"ref": "johnsonhk88/google-llm-gemma-for-data-science", "kernel_id": "52298918"}, {"ref": "himankkavathekar/simple-llm-app-with-gemma", "kernel_id": "52513827"}, {"ref": "woosungyoon/sqlite-and-faiss-retriever", "kernel_id": "52491709"}, {"ref": "abelmatas/understanding-gemma-architecture", "kernel_id": "52236917"}, {"ref": "bhanpuramufaddal2/pythoncorpus", "kernel_id": "52667409"}, {"ref": "bhanpuramufaddal2/rag-with-gemma-on-hf-and-weaviate-in-dspy", "kernel_id": "52604300"}, {"ref": "bhanpuramufaddal2/gemmasentenceembeddings", "kernel_id": "52559819"}, {"ref": "saadelkouari/augmented-gemma-for-basic-python-qa", "kernel_id": "52187682"}, {"ref": "chinmayadatt/python-question-answer-gemma-model", "kernel_id": "52979588"}, {"ref": "chinmayadatt/generating-python-question-answer-dataset-by-gemma", "kernel_id": "52799598"}, {"ref": "rkr2020/automatic-prompt-generation-with-dspy-agents", "kernel_id": "52419929"}, {"ref": "nghihuynh/unleashing-gemma-s-power-by-prompt-engineering", "kernel_id": "52141001"}, {"ref": "bachngoh/training-gemma-7b-the-right-way", "kernel_id": "52225487"}, {"ref": "bachngoh/the-ultimate-guide-on-rag-w-gemma-llama-index", "kernel_id": "52413468"}, {"ref": "victorkingoshimua/gemma-llm-instruction-fine-tuning-for-python-q-a", "kernel_id": "52431472"}, {"ref": "lucasnastariziza/gemma-llm-ai-assistant-for-data-science", "kernel_id": "52850955"}, {"ref": "hemanthkumar21/gemma-2b-rag-for-kaggle-qanda", "kernel_id": "52337253"}, {"ref": "kazumatokuda/finetune-gemma-using-kerasnlp", "kernel_id": "52613367"}, {"ref": "nirmalgaud/gemma-unleashing", "kernel_id": "52149428"}, {"ref": "pankajkumar2002/sft-faiss-rag-gemma-2b-it", "kernel_id": "52360532"}, {"ref": "crsuthikshnkumar/google-ai-assistants-datascience-nb-crsk", "kernel_id": "52045023"}, {"ref": "esabellechen/learn-python-by-gemma-2b-it-with-pytorch", "kernel_id": "52898105"}, {"ref": "smjishanulislam/exploring-gemmas-capabilities-in-ml-qa", "kernel_id": "52485395"}, {"ref": "brucepayton/gemma-ai-assistant-for-code-qa", "kernel_id": "52010115"}, {"ref": "aravilliatchutaram/create-ai-generated-essays-gemma", "kernel_id": "52585461"}, {"ref": "tauquirahmed/kaggle-qanda-using-gemma-2b-rag", "kernel_id": "52912249"}, {"ref": "khadimkhan1/text-summarization-with-gemma", "kernel_id": "52645642"}, {"ref": "ohagwucollinspatrick/rag-systems-w-gemma-hugging-face", "kernel_id": "52111135"}, {"ref": "mh0386/phi-2-fine-tuning-as-napoleon-bonaparte", "kernel_id": "52612572"}, {"ref": "shreekrishnakanth/final-model", "kernel_id": "52434700"}, {"ref": "mgp123/gemma-data-science-with-rag-and-ia3", "kernel_id": "52128095"}, {"ref": "diveshcrazy/gemma-unleashing", "kernel_id": "52827113"}, {"ref": "srinukethanaboina/gemma-s-answer-from-paper", "kernel_id": "52596058"}, {"ref": "newtonbaba12345/blending-gemma", "kernel_id": "52081154"}, {"ref": "trippinglettuce/gemma-analytics-competition", "kernel_id": "52190423"}, {"ref": "shadesh/svm-classification-using-tensorflow-and-keras", "kernel_id": "52241829"}, {"ref": "sofianesun/data-science-qa-with-lora-tuned-gemma", "kernel_id": "52227818"}, {"ref": "siyuqtt/data-science-questions-lora-rag", "kernel_id": "52325483"}, {"ref": "ds2252mscdatascience/data-science-qa-with-lora-tuned-gemma", "kernel_id": "52572587"}, {"ref": "eugeniokukes/gemma-for-5x-bot-teacher", "kernel_id": "52263187"}, {"ref": "eugeniokukes/codegemma-2b", "kernel_id": "52337378"}, {"ref": "eugeniokukes/gemma-llm-prompts-techniques", "kernel_id": "52328447"}, {"ref": "jakelinai/gemma-q-a-with-prompt-engineering-rag-fine-tune", "kernel_id": "52005554"}, {"ref": "serhiikharchuk/keras-backend-gemma-2b-en-resourseslag", "kernel_id": "52029541"}, {"ref": "anhtdn/test-gemma-2", "kernel_id": "52763828"}, {"ref": "orpheuswalker/gemma-keras-python-qa-task", "kernel_id": "52374011"}, {"ref": "davidtroxellucla/pygem-a-chatbot-for-python-questions-using-gemma", "kernel_id": "52013583"}, {"ref": "dmcstllc/fine-tune-gemma-on-python-instruction", "kernel_id": "52505571"}, {"ref": "ajengmiranti/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "52695620"}, {"ref": "yanpapadakis/pandas-user-guide-retriever", "kernel_id": "53760252"}, {"ref": "yanpapadakis/gemmapyexpert", "kernel_id": "53016702"}, {"ref": "joanfihu/kaggle-docs-qa-fine-tuning-rag-eval", "kernel_id": "53583174"}, {"ref": "felipedamasceno/data-science-teacher-dataset", "kernel_id": "53422669"}, {"ref": "gpreda/prompt-gemma-like-a-pro", "kernel_id": "53258500"}, {"ref": "gpreda/gemma-please-teach-me-data-science", "kernel_id": "53622837"}, {"ref": "gpreda/kaggle-qa-with-gemma-kerasnlp-starter-my-cut", "kernel_id": "53650749"}, {"ref": "gpreda/rag-using-gemma-langchain-and-chromadb", "kernel_id": "53753189"}, {"ref": "gpreda/google-ai-assistant-for-data-science-teaching", "kernel_id": "53677048"}, {"ref": "gpreda/fine-tunning-gemma-model-with-kaggle-docs-data", "kernel_id": "53654972"}, {"ref": "vbookshelf/kagglebot-gemma-7b-it-rag-w-few-shot-prompting", "kernel_id": "53427919"}, {"ref": "donkeys/qa-solutions-from-past-competitions", "kernel_id": "53362861"}, {"ref": "raj4inspiration/lora-toplayers-gemma-2b-dolly-qlora-transformers", "kernel_id": "53049846"}, {"ref": "naimul314/gemma-i-am-replacing-myself-with-an-llm", "kernel_id": "53564563"}, {"ref": "naimul314/fine-tuning-gemma-for-electricity-load-forecasting", "kernel_id": "53465932"}, {"ref": "dibyanshu007/rag-kaggle-assistant", "kernel_id": "53788720"}, {"ref": "simranjeetsingh1430/d51-chatwithimages-gemmavisionpro", "kernel_id": "53305684"}, {"ref": "kavisekar/generating-question-answer-pair-from-text-file", "kernel_id": "53448444"}, {"ref": "ppjy927/gemma", "kernel_id": "53367293"}, {"ref": "today55/start-kaggle-with-gemma", "kernel_id": "53603770"}, {"ref": "ukaszczerniawski/use-gemma-to-create-a-mini-course-on-data-science", "kernel_id": "53418090"}, {"ref": "nechak/ai-assistance-with-gemma-2b", "kernel_id": "53370319"}, {"ref": "heidichoco/beginner-s-guide-gemma-lora-for-q-a-fine-tuning", "kernel_id": "53558368"}, {"ref": "rockerritesh/gemma-talk-to-documents", "kernel_id": "53604618"}, {"ref": "woosungyoon/perturb-prompt-with-gemini", "kernel_id": "53557219"}, {"ref": "bhanpuramufaddal2/stackoverflow-rag", "kernel_id": "53373167"}, {"ref": "minjikkim/gemma-llm-240402", "kernel_id": "53769035"}, {"ref": "bunny11/ai-assitant-gemma-2b-it", "kernel_id": "53462307"}, {"ref": "marybrendaakoda/gemma-kaggle-solution-explainer-tools-strategies", "kernel_id": "53905652"}, {"ref": "dlesmes/gemma-python-chat-gpc", "kernel_id": "53361701"}, {"ref": "hserdaraltan/data-science-with-gemma-llamaindex-and-pinecone", "kernel_id": "53805289"}, {"ref": "chinew/gemma2b-finetuning", "kernel_id": "53053144"}, {"ref": "deekshantnandeshwar/google-ai-assistants-for-data-tasks-with-gemma", "kernel_id": "53649213"}, {"ref": "fadhaaali/data-assistants-paraphrasing-text", "kernel_id": "53092336"}, {"ref": "cocudeny/gemma-with-jokes", "kernel_id": "53175218"}, {"ref": "hongjujeong/python-qna-summarization-with-gemma", "kernel_id": "53697499"}, {"ref": "abdulmuid/prompt-engineering-techniques-rag-with-gemma", "kernel_id": "53905963"}, {"ref": "sanchitagangopadhyay/fine-tune-gemma-huggingface-python-instruction", "kernel_id": "53743355"}, {"ref": "abzshaikh/explain-kaggle-solutions-using-rag-and-vector-db", "kernel_id": "53218435"}, {"ref": "yangminseok/python-code-qa-using-gemma", "kernel_id": "53686985"}, {"ref": "monicasusan/multi-lingual-gemma-responses-about-kaggle", "kernel_id": "53179656"}, {"ref": "esabellechen/kaggleqs-keras", "kernel_id": "53634045"}, {"ref": "jcheckyn/fine-tuning-gemma-model", "kernel_id": "53771394"}, {"ref": "vrindam/datatask-gemma-kaggle-qna-kerasnlp", "kernel_id": "53947461"}, {"ref": "wcosta/python-q-a-powered-by-gemma-llm", "kernel_id": "53891466"}, {"ref": "charanpatnaik/testv2", "kernel_id": "53352786"}, {"ref": "wuxiognwei2/kaggle-qa-with-gemma-kerasnlp-starter", "kernel_id": "53388511"}, {"ref": "wuxiognwei2/gemma-i-am-replacing-myself-with-an-llm", "kernel_id": "53385934"}, {"ref": "barbaaryan/thapar-aaryangupta102103053", "kernel_id": "53551254"}, {"ref": "shadesh/question-answer-ai-assistants-gemma", "kernel_id": "53602213"}, {"ref": "shadesh/gemma-ai-data-tasks-tutorial-competition", "kernel_id": "53600980"}, {"ref": "kkamal2003/answering-python-question-using-gemma", "kernel_id": "53645889"}, {"ref": "francescosabbarese97/python-expert-rag-using-gemma-langchain-and-faiss", "kernel_id": "53028618"}, {"ref": "aleksandrslarionovs/python-question-answer-gemma-model", "kernel_id": "53563702"}, {"ref": "malakafaqahmad/gemma-for-python", "kernel_id": "53480914"}, {"ref": "eugeniokukes/create-your-own-gemma-merge-ft-dpo", "kernel_id": "53640336"}, {"ref": "saunakr/gemma-data-tasks-notebook", "kernel_id": "53820978"}, {"ref": "marylumin/ai-assistant", "kernel_id": "53222737"}, {"ref": "wengshengchuang/python-programming-qa-with-gemma", "kernel_id": "53060923"}, {"ref": "suvirsingh/gemma-basic-python-assistant", "kernel_id": "53936889"}, {"ref": "yujansaya/gemma-7b-dialogue-diarisation", "kernel_id": "53403717"}, {"ref": "orionai/using-gemma-to-answer-questions-about-python", "kernel_id": "53861318"}, {"ref": "xiangjerryhe/gemmapy-prompt-introspection-mixer-party", "kernel_id": "53390678"}, {"ref": "acodeape/python-helper", "kernel_id": "53711729"}, {"ref": "wxxxhe/gemma-with-coding-q-a", "kernel_id": "53714344"}, {"ref": "kenichishirakura/data-science-and-math-with-gamma-with-math", "kernel_id": "53509247"}, {"ref": "alexandrabuzuk/gemma-teacher", "kernel_id": "53807539"}, {"ref": "astura/gemma-extracting-structured-data-from-write-ups", "kernel_id": "54669368"}, {"ref": "nithiroj/kaggle-platform-assistant-w-embedding-adapter-rag", "kernel_id": "54041868"}, {"ref": "ufownl/ai-assistant-for-data-science-beginners", "kernel_id": "54558749"}, {"ref": "naimul314/new-york-state-dmv-q-a", "kernel_id": "54817196"}, {"ref": "roumaissaa/offline-finetune-save-load-infer-gemma2b-kerasnlp", "kernel_id": "54385132"}, {"ref": "kyushikmin/building-self-critic-python-agent-with-gemma", "kernel_id": "54603851"}, {"ref": "nandakumar1966/social-media-sentiment-analysis-using-gemma", "kernel_id": "54452380"}, {"ref": "artemenon/building-data-science-assistant-with-google-gemma", "kernel_id": "54694795"}, {"ref": "ruqiyas/rag-using-gemma-to-explain-data-science-concepts", "kernel_id": "54618480"}, {"ref": "ppjy927/aims-to-teach-fine-tuning-python", "kernel_id": "54322193"}, {"ref": "srivastava09/kaggle-simple-model-prompt-tuning", "kernel_id": "54654294"}, {"ref": "olenaarshynnikova/gemma-ai-assistant-for-python-teaching", "kernel_id": "54679202"}, {"ref": "heidichoco/gemma-fine-tuning-for-beginners-with-huggingface", "kernel_id": "54628603"}, {"ref": "heidichoco/beginners-gemma-lora-fine-tuning-python-q-a", "kernel_id": "54564901"}, {"ref": "woosungyoon/teacher-gemma-heuristic-algorithm", "kernel_id": "54682180"}, {"ref": "firozk/data-science-demystified-dspy-langchain-rag", "kernel_id": "54408435"}, {"ref": "bhanpuramufaddal2/pythonqawithragandcot", "kernel_id": "54639341"}, {"ref": "bhanpuramufaddal2/glaiveqa-rag", "kernel_id": "54150293"}, {"ref": "yassinemotie/advanced-rag-for-basic-data-science-concepts", "kernel_id": "54406302"}, {"ref": "hanzlajavaid/gemma-finetuning-raft-technique", "kernel_id": "54658591"}, {"ref": "chinmayadatt/ai-assistant-to-answer-questions-about-python", "kernel_id": "54678187"}, {"ref": "yusukemikami/chain-of-thought-with-gemma", "kernel_id": "54617770"}, {"ref": "masaishi/building-a-dataset-of-popular-kaggle-code", "kernel_id": "54316013"}, {"ref": "masaishi/code-upvote-predictor", "kernel_id": "54332807"}, {"ref": "masaishi/reinforcement-learning-to-generate-kaggle-code", "kernel_id": "54525298"}, {"ref": "masaishi/lora-to-generate-kaggle-code", "kernel_id": "54464786"}, {"ref": "masaishi/inference-reinforcement-learning-for-code-gen", "kernel_id": "54680731"}, {"ref": "fangliliu/quantitative-solutions-summary-with-rag", "kernel_id": "54530580"}, {"ref": "dlesmes/py-mvp-class", "kernel_id": "54146472"}, {"ref": "ndilasilva/gemma-tutorial-notebook", "kernel_id": "54154090"}, {"ref": "tjswodud/python-language-assistant-with-gemma-2b", "kernel_id": "54548679"}, {"ref": "niwetdt/answer-questions-python-with-gemma-and-qlora", "kernel_id": "54399725"}, {"ref": "bachngoh/gemma-data-assistant-w-llama-index-graph", "kernel_id": "54341712"}, {"ref": "samarfatimajaffri/rag-with-gemma-langchain-and-huggingface", "kernel_id": "54029019"}, {"ref": "pranavbelhekar/gemma-python-assistant", "kernel_id": "54730192"}, {"ref": "pranavbelhekar/data-science-concepts-gemma", "kernel_id": "54730026"}, {"ref": "pranavbelhekar/hushh-kaggle-solution", "kernel_id": "54706866"}, {"ref": "iqmansingh/interview-prep-w-gemma-thapar-iqman-102103189", "kernel_id": "54712401"}, {"ref": "zgrts46/gemma-notebook", "kernel_id": "54459355"}, {"ref": "chldlsel/aims-to-teach-fine-tuning-python-with-gemma", "kernel_id": "54320734"}, {"ref": "chldlsel/aims-to-teach-fine-tuning-python", "kernel_id": "54696194"}, {"ref": "vimal15/fine-tune-gemma-2b-for-python-code-generation", "kernel_id": "54653625"}, {"ref": "harleenkaurdeora/thapar-harleenkaur-102103183", "kernel_id": "54542212"}, {"ref": "aadityabansalcodes/learn-pro-python-with-gemma", "kernel_id": "54571793"}, {"ref": "aadityabansalcodes/learn-pro-python-with-google-s-gemma", "kernel_id": "54643767"}, {"ref": "aadityabansalcodes/dataset-preparation-for-learn-pro-python", "kernel_id": "54619823"}, {"ref": "aadityabansalcodes/learn-pro-python-with-gemma-2b-instruct", "kernel_id": "54698563"}, {"ref": "manmeetkaursidhu/thapar-manmeet-102103478", "kernel_id": "54635811"}, {"ref": "anaychauhan/gemma-7b", "kernel_id": "54158010"}, {"ref": "williamalabi/finetuning-gemma-with-reft", "kernel_id": "54636599"}, {"ref": "nipun356/thapar-nipun-sharma-102103544", "kernel_id": "54684677"}, {"ref": "penpentled/kaggleqa-react-with-kaggle-api", "kernel_id": "54554599"}, {"ref": "andydollin21/multi-task-with-lora-tuning-inference", "kernel_id": "54616805"}, {"ref": "aadityavardhan/thapar-aadityavardhan-102117021", "kernel_id": "54347335"}, {"ref": "nikhilchadha1537/google-ai-assistant-for-data-task", "kernel_id": "54542260"}, {"ref": "hardikgarg03/gemma-python-assistant", "kernel_id": "54201269"}, {"ref": "elenaptv/kaggle-ai-assistant-w-comments", "kernel_id": "54546949"}, {"ref": "haveone/team-asdf-data-science-gemma-with-python-code", "kernel_id": "54537131"}, {"ref": "jaypathak08/python-q-a-with-rag-using-gemma", "kernel_id": "54622121"}, {"ref": "jaypathak08/raptor-with-gemma", "kernel_id": "54567988"}, {"ref": "jaypathak08/gemma-for-python", "kernel_id": "54201351"}, {"ref": "eishkaran/gemma-kaggle-solution-expert", "kernel_id": "54689905"}, {"ref": "suhaniaggarwal/fork-of-datascience-ai-club", "kernel_id": "54519568"}, {"ref": "swccho/sfai-gem-ai", "kernel_id": "54678052"}, {"ref": "skanderkaroui/answering-kaggle-s-common-questions-using-gemma", "kernel_id": "54698039"}, {"ref": "ikedacoder/python-qa-with-qa-instruction-data-made-by-gpt", "kernel_id": "54650163"}, {"ref": "vanshbatra10/gemma-fine-tuned-python-bot", "kernel_id": "54614844"}, {"ref": "garguday67/thapar-uday-garg-102103450", "kernel_id": "54685665"}, {"ref": "kartikkumaria/data-science-assistant-gemma", "kernel_id": "54586969"}, {"ref": "akshaykhanna05/thapar-akshaykhanna-102103415", "kernel_id": "54688697"}, {"ref": "suhawni/notebookd7c8dacf54", "kernel_id": "54635818"}, {"ref": "goyalharshit03/thapar-harshitgoyal-102103411", "kernel_id": "54687791"}, {"ref": "sitaberete/build-ai-agents-with-google-s-llm-gemma", "kernel_id": "54016032"}, {"ref": "rohangulati14/python-data-tasks-with-gemma", "kernel_id": "54686753"}, {"ref": "divyam6969/gemmagurus-ai-wizards-unleashing-gemma-s-power", "kernel_id": "54626070"}, {"ref": "mannatsadana/gemma-competition-1", "kernel_id": "54347889"}, {"ref": "aestroe/thapar-himanshu-102103568", "kernel_id": "54677168"}, {"ref": "devahuja2808/thapar-devahuja-102117155", "kernel_id": "54676225"}, {"ref": "devahuja2808/gemma-tiet-wcww", "kernel_id": "54672273"}, {"ref": "rcline/an-experiment-for-gemma-and-python-for-kaggle", "kernel_id": "54209511"}, {"ref": "shreypachauri123/thapar-shrey-102103354", "kernel_id": "54600760"}, {"ref": "yashaskirnapure/generating-python-code-using-gemma", "kernel_id": "54624609"}, {"ref": "cescofran/gemma-paper-annottated-introduction", "kernel_id": "54334469"}, {"ref": "kkamal2003/answering-common-python-questions-using-gemma", "kernel_id": "54655176"}, {"ref": "samakshahuja605/notebook5154958709", "kernel_id": "54687949"}, {"ref": "pulkitsanan/gemma-data-science-q-a", "kernel_id": "54666151"}, {"ref": "gamablobyt/explaining-data-science-concepts-with-gemma", "kernel_id": "54665703"}, {"ref": "pulkittarora/thapar-pulkitarora-102103267", "kernel_id": "54682073"}, {"ref": "praneykalra/thapar-praneykalra-102117131", "kernel_id": "54045459"}, {"ref": "datasscientisst/kaggle-platform-bot", "kernel_id": "54317899"}, {"ref": "yatharthgautam123789/thapar-mannat-102103562", "kernel_id": "54685311"}, {"ref": "akankshasolanki123/google-ai-assistants-for-data-tasks-with-gemma", "kernel_id": "54672098"}, {"ref": "shiivvvaam/pygemma-finetuned-rag", "kernel_id": "54041571"}, {"ref": "kushagrekaushik/google-gemma-finetuning-learn-python", "kernel_id": "54633269"}, {"ref": "ankit1743/data-science-qna-bot-gemma-applications", "kernel_id": "54629016"}, {"ref": "ankit1743/gemmaadultbot", "kernel_id": "54980433"}, {"ref": "kunal025/thapar-sanjana-102103040", "kernel_id": "54678012"}, {"ref": "shresthapundir/gemma-data-science-questions", "kernel_id": "54089375"}, {"ref": "jasleen234/thapar-jasleen-102117042", "kernel_id": "54666460"}, {"ref": "yashpuri1912/learning-basics", "kernel_id": "54681156"}, {"ref": "jasmeet0516/data-science-concepts-gemma", "kernel_id": "54538696"}, {"ref": "pritishpriyam4/thapar-pritish-102153023", "kernel_id": "54690135"}, {"ref": "puneetgupta24/finetuning-using-google-gemma-model", "kernel_id": "54554733"}, {"ref": "shwetakk/notebookae76ef5ab2", "kernel_id": "54567431"}, {"ref": "shwetakk/thapar-shwetakumari-102297007", "kernel_id": "54555096"}, {"ref": "jindal05/thapar-arpitdubey-102103463", "kernel_id": "54690311"}, {"ref": "sachinsushilsingh/thapar-sachinssingh-102103575", "kernel_id": "54688032"}, {"ref": "nitishjolly/google-llm-summarize-kaggle-solution-write-ups", "kernel_id": "54352310"}, {"ref": "kanishhkaa/thapar-kanishka-102103772-gemma", "kernel_id": "54632785"}, {"ref": "madhu2311/gemma-model-for-python", "kernel_id": "54648217"}, {"ref": "kimdh22/aims-to-teach-fine-tuning-python-with-g-83edfc", "kernel_id": "54471290"}, {"ref": "dnpcs12/gemma-for-python-programming-with-lora", "kernel_id": "54552048"}, {"ref": "umairabbasi6/gemma2b-finetuning", "kernel_id": "54260495"}, {"ref": "jinnnnk/team-asdf-data-science-gamma-with-python-code", "kernel_id": "54540079"}, {"ref": "jaisikabhatia/notebook2", "kernel_id": "54687965"}, {"ref": "jaisikabhatia/notebook1", "kernel_id": "54685387"}, {"ref": "niyijinadu/google-ai-competition-data-science-concepts-using", "kernel_id": "54433513"}, {"ref": "najmulhasancsmath/using-gemma-to-answer-common-python-questions", "kernel_id": "54685001"}, {"ref": "aryandogra/thapar-aryan-102103235", "kernel_id": "54738770"}, {"ref": "parashchand/google-gemma-ai-simplifies-data-tasks", "kernel_id": "54508930"}, {"ref": "yogeshratheea/gemma", "kernel_id": "54541679"}, {"ref": "aravindvcyber/retrievalqa-python-code-generation-with-gemma", "kernel_id": "54650516"}, {"ref": "tandinhd/unlocking-the-power-of-gemma-generating-a-dataset", "kernel_id": "54652909"}, {"ref": "rijuljain2003/ai-assistant-rijul-thapar-102103399", "kernel_id": "54264681"}, {"ref": "bhavyabhalla2701/retrieval-augmented-generation-with-gemma", "kernel_id": "54607814"}, {"ref": "kushagrgupta258/thapar-kushagr-102103002", "kernel_id": "54618180"}, {"ref": "priyanshu54200/thapar-priyanshusingh-102116120", "kernel_id": "54570659"}, {"ref": "thaparrishav/thapar-rishavjain-102103355", "kernel_id": "54686738"}, {"ref": "quackinghorse/thapar-lakshya-joshi-102103453", "kernel_id": "54684698"}, {"ref": "rupindersinghrana/gemma-powered-python-q-a-assistant", "kernel_id": "54696296"}, {"ref": "jeeteshrajpal2/gemma-ai", "kernel_id": "54689127"}, {"ref": "jsonali2003/ask-gemma-data-science", "kernel_id": "54686399"}, {"ref": "rinisvs/data-science-starter-with-google-gemma", "kernel_id": "54242840"}, {"ref": "simarjeetsingh11/thapar-simarjeetsingh-102153026", "kernel_id": "54604641"}, {"ref": "yingzheliu/gemma-data-science-expert", "kernel_id": "54548109"}, {"ref": "sebastiantakahashi/gemmafinal", "kernel_id": "54690187"}, {"ref": "coderihan/gemma-for-q-a-about-python", "kernel_id": "54621447"}, {"ref": "amarpreetkaur101/kaggle-assistant", "kernel_id": "54341862"}, {"ref": "cdr0101/gemma-thapar", "kernel_id": "54046101"}, {"ref": "tanishas2024/finetuning-using-gemma", "kernel_id": "54652874"}, {"ref": "selamjw/personalized-data-science-tutor-with-gemma", "kernel_id": "54643646"}, {"ref": "madhavanl/gemma-python-programming", "kernel_id": "55606128"}, {"ref": "seifkhelifi/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "55302665"}, {"ref": "ajarman88/icd10-rag-gemma2b", "kernel_id": "56648992"}, {"ref": "kareemrasheed89/google-ai-assistant-for-data-science-teaching", "kernel_id": "56577265"}, {"ref": "nabojyotipandey/llm-response-with-gemma-llamaindex-and-pinecone", "kernel_id": "57574642"}, {"ref": "bestbars/rag-using-gemma-langchain-and-chromadb", "kernel_id": "57367705"}, {"ref": "devilbornfire/rag-using-gemma-langchain-and-chromadb", "kernel_id": "57271650"}, {"ref": "hunhtnthnh/vm-codegeneration", "kernel_id": "58881626"}, {"ref": "sanskar2807/fine-tuning-the-gemma-model-for-kaggle-assistant", "kernel_id": "58116558"}, {"ref": "iitm21f1006987/gemma-lora-fine-tuning-for-on-apple-pdf", "kernel_id": "59095860"}, {"ref": "dvvsnreddy/fork-of-text-summarization-with-gemma-c5a355", "kernel_id": "60455301"}, {"ref": "aadityavardhan/advanced-rag-with-gemma-and-langchain", "kernel_id": "60568242"}, {"ref": "ritwiksarkar2/generate-text-using-gemma-model", "kernel_id": "61977619"}, {"ref": "sontadkt/text-summarization-with-gemma", "kernel_id": "62711527"}, {"ref": "moha1234321/unleashing-gemma-s-power-by-prompt-engineering", "kernel_id": "62972299"}, {"ref": "tanbeerjubaer/kagglebot-gemma-7b-it-rag-w-few-shot-prompting", "kernel_id": "63599483"}, {"ref": "tanbeerjubaer/gemma-7b-it-rag-w-few-shot-pro", "kernel_id": "64728841"}, {"ref": "shacodes/rag-using-gemma-langchain-and-chromadb", "kernel_id": "64391568"}, {"ref": "akramsahli/gemma-rag-and-chroma", "kernel_id": "65904620"}, {"ref": "chenxucool/rag-with-gemma-on-hf-and-weaviate-in-dspy", "kernel_id": "65332430"}, {"ref": "chenxucool/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "65322410"}, {"ref": "gpreda/rag-system-using-gemma-2-langchain-and-chromadb", "kernel_id": "66579055"}, {"ref": "khandelwal10iitj/advanced-rag-with-gemma-weaviate-and-llamaindex", "kernel_id": "66550076"}, {"ref": "pinthattheparkinglot/gemma-working", "kernel_id": "66997700"}, {"ref": "rhodanankabirwa5/quit-smoking-chatbot", "kernel_id": "66285324"}, {"ref": "hongbotrn/starter-llm-rag-implementation", "kernel_id": "69523302"}, {"ref": "yuyutsusaini/prompt-gemma-like-a-pro", "kernel_id": "70350260"}, {"ref": "docxian/experimenting-with-llms", "kernel_id": "71407413"}, {"ref": "ghazouanihaythem/cheating-data-science-questions-with-wikipedia-rag", "kernel_id": "71480879"}, {"ref": "nghialuutrung/make-a-smart-python-assistant-with-gemma", "kernel_id": "72913997"}, {"ref": "soyansoon/fine-tuning-the-gemma-model-for-kaggle-assistant", "kernel_id": "73695080"}, {"ref": "saidineshpola/gemma-2-finetuning-on-telugu-news-mi-with-sae", "kernel_id": "74693737"}, {"ref": "saidineshpola/gemma-2-finetuning-on-telugu-news-dataset", "kernel_id": "74196199"}, {"ref": "cseewuzafor/pdf-rag", "kernel_id": "74994523"}, {"ref": "suryanshyagnik/medqa-finetuned-rag-fl", "kernel_id": "75706840"}, {"ref": "tiens0710/build-ai-agents-with-google-s-llm-gemma", "kernel_id": "84502054"}, {"ref": "tiens07102004/doan3", "kernel_id": "89241196"}]}
{"competition_id": "64189", "kernels": []}
{"competition_id": "64208", "kernels": []}
{"competition_id": "64209", "kernels": []}
{"competition_id": "64212", "kernels": [{"ref": "akhilsnairrb1923/litbank-ner-2023", "kernel_id": "50138196"}]}
{"competition_id": "64223", "kernels": []}
{"competition_id": "64237", "kernels": []}
{"competition_id": "64238", "kernels": []}
{"competition_id": "64322", "kernels": []}
{"competition_id": "64405", "kernels": []}
{"competition_id": "64420", "kernels": []}
{"competition_id": "64487", "kernels": [{"ref": "sjkimhyunwoo/example-aichallenge-p1-18011747", "kernel_id": "46285204"}]}
{"competition_id": "64494", "kernels": []}
{"competition_id": "64503", "kernels": [{"ref": "ankitbhatnagarai/telecom-churn-casestudy", "kernel_id": "47408585"}]}
{"competition_id": "64508", "kernels": []}
{"competition_id": "64513", "kernels": []}
{"competition_id": "64551", "kernels": []}
{"competition_id": "64556", "kernels": []}
{"competition_id": "64591", "kernels": [{"ref": "jocelyndumlao/mini-course-sales-prediction", "kernel_id": "46901473"}, {"ref": "jocelyndumlao/lstm-for-mini-course-sales-forecasting", "kernel_id": "46777031"}, {"ref": "jocelyndumlao/predictive-insights-for-synthetic-global-sales", "kernel_id": "46597579"}, {"ref": "omega11/forecasting-sales", "kernel_id": "47000813"}, {"ref": "anastasiiaartemova/forecasting-mini-course-sales", "kernel_id": "54855574"}]}
{"competition_id": "64635", "kernels": []}
{"competition_id": "64672", "kernels": []}
{"competition_id": "64685", "kernels": []}
{"competition_id": "64686", "kernels": [{"ref": "yukyungchoi/2023sejongaichallengepractice-dnn-baseline-matlab", "kernel_id": "46621003"}, {"ref": "yukyungchoi/2023sejongaichallengepractice-cnn-baseline-matlab", "kernel_id": "46621218"}, {"ref": "sjkimhyunwoo/2023sejongaichallengepractice-dnn-baseline-python", "kernel_id": "46483095"}, {"ref": "sjkimhyunwoo/2023sejongaichallengepractice-cnn-baseline-python", "kernel_id": "46448041"}]}
{"competition_id": "64690", "kernels": []}
{"competition_id": "64695", "kernels": []}
{"competition_id": "64709", "kernels": []}
{"competition_id": "64719", "kernels": []}
{"competition_id": "64725", "kernels": []}
{"competition_id": "64732", "kernels": []}
{"competition_id": "64733", "kernels": [{"ref": "maximiliense/download-script-usage", "kernel_id": "51766451"}, {"ref": "mpwolke/glc2024-climaterasters-nir-pt-files", "kernel_id": "51929972"}, {"ref": "mpwolke/dur-dur-d-tre-chercheuse-glclef-2024", "kernel_id": "51886841"}, {"ref": "mpwolke/20-years-seasonal-vegetation-changes", "kernel_id": "52304799"}, {"ref": "henriupton/glc24-no-training-at-all-naive-approach", "kernel_id": "52861507"}, {"ref": "gobyeonggeon/preprocess-visualize-spatial-data-eda-xgb", "kernel_id": "52143405"}, {"ref": "oostg0t/multilabel-classification-dask-xgboost", "kernel_id": "53095695"}, {"ref": "thomascreid/loading-and-examining-input-data", "kernel_id": "53338712"}, {"ref": "nejcboltez/geolifeclef-2024-data-presentation", "kernel_id": "53262628"}, {"ref": "picekl/naive-approach-baselines-0-20567", "kernel_id": "54510579"}, {"ref": "quentinloeb/quickstart-xgboost", "kernel_id": "54754117"}, {"ref": "picekl/baseline-with-bioclimatic-cubes-0-25784", "kernel_id": "55980279"}, {"ref": "piantic/how-to-inference-mllm-multimodalllm-llava-phi3", "kernel_id": "55915688"}, {"ref": "picekl/baseline-with-sentinel-images-0-23555", "kernel_id": "56367696"}, {"ref": "picekl/sentinel-landsat-bioclim-baseline-0-31626", "kernel_id": "56365593"}, {"ref": "picekl/baseline-with-landsat-cubes-0-26424", "kernel_id": "56362017"}, {"ref": "thomasdubail/geolife-baseline-crossval-topk-earlystopping", "kernel_id": "56936367"}, {"ref": "liangyz2019/multimodal-transformer-inference", "kernel_id": "56317926"}, {"ref": "amanmukati/geolifeclef-2024-lifeclef-cvpr-fgvc", "kernel_id": "56380826"}, {"ref": "jeffersusus/multimodal-transformer-inference", "kernel_id": "56470470"}, {"ref": "mathisjander/240605-multimodalembedding", "kernel_id": "58972957"}, {"ref": "lonansyayf/baseline-with-modifications", "kernel_id": "60441550"}, {"ref": "mathisjander/240708-baseline-benchmark", "kernel_id": "61761349"}, {"ref": "mathisjander/240709-benchmark-fme", "kernel_id": "61813702"}, {"ref": "mathisjander/240709-benchmark-knn", "kernel_id": "61816627"}, {"ref": "picekl/sentinel-landsat-bioclim-baseline", "kernel_id": "64241360"}, {"ref": "picekl/baseline-with-bioclimatic-cubes", "kernel_id": "64241482"}, {"ref": "biansun/how-to-inference-mllm-multimodalllm-llava-phi3", "kernel_id": "73096834"}]}
{"competition_id": "64776", "kernels": [{"ref": "sumacirigiri/suma-titanic1", "kernel_id": "48033906"}, {"ref": "anjali2001798/titanic-data-analysis", "kernel_id": "52466503"}]}
{"competition_id": "64782", "kernels": []}
{"competition_id": "64794", "kernels": []}
{"competition_id": "64798", "kernels": [{"ref": "jananowakova/benchmark-solution-example", "kernel_id": "46567414"}]}
{"competition_id": "64804", "kernels": []}
{"competition_id": "64854", "kernels": []}
{"competition_id": "64859", "kernels": []}
{"competition_id": "64882", "kernels": [{"ref": "ssegui/baselinemodel", "kernel_id": "46702634"}]}
{"competition_id": "64900", "kernels": [{"ref": "aninda/dtc-zoomcamp-sol-baseline", "kernel_id": "47397831"}, {"ref": "haltun/zoomcamp-4th-place-solution", "kernel_id": "47642302"}, {"ref": "svizor/dtc-zoomcamp-q-a-bert", "kernel_id": "47523292"}, {"ref": "lokmanefe/dtc-zoomcamp-q-a-bert", "kernel_id": "47555150"}, {"ref": "bnzn261029/dtc-q-a-basic-feature-extraction-bag-of-words", "kernel_id": "48665588"}, {"ref": "dtakeshi/dtc-zoomcamp-q-a-sentence-transformers", "kernel_id": "49118978"}, {"ref": "amrmuhammad/all-of-nlp", "kernel_id": "49863045"}, {"ref": "gowthamaddluri/qa-zoom", "kernel_id": "49358330"}]}
{"competition_id": "64925", "kernels": []}
{"competition_id": "64930", "kernels": []}
{"competition_id": "64966", "kernels": [{"ref": "lightningforpython/competition", "kernel_id": "48181613"}, {"ref": "romanovka/not-the-best-solution", "kernel_id": "48326556"}]}
{"competition_id": "64971", "kernels": []}
{"competition_id": "64976", "kernels": []}
{"competition_id": "64983", "kernels": [{"ref": "rishikaranyal1/titanic-version-1", "kernel_id": "48681130"}, {"ref": "mximoferrariostry/titanic-survival-prediction-first-ml-project", "kernel_id": "49249068"}, {"ref": "hamzabouanani97/notebook540061cc06", "kernel_id": "50108212"}, {"ref": "mximoferrariostry/house-prices-first-regression-project", "kernel_id": "106797786"}]}
{"competition_id": "65003", "kernels": []}
{"competition_id": "65022", "kernels": []}
{"competition_id": "65035", "kernels": [{"ref": "graju1401/sample-code-to-start", "kernel_id": "47832003"}, {"ref": "michaelibrahim/second-place-solution", "kernel_id": "55376124"}, {"ref": "nirrmalgaud/breast-density-detection", "kernel_id": "87347349"}]}
{"competition_id": "65038", "kernels": [{"ref": "asztyber/przyk-adowy-kod-do-lab6", "kernel_id": "46918294"}]}
{"competition_id": "65042", "kernels": []}
{"competition_id": "65043", "kernels": []}
{"competition_id": "65121", "kernels": [{"ref": "lecruk/notebook2f6788e66c", "kernel_id": "47002826"}, {"ref": "jpvelasquezcamargo/equipo-2jp-1d", "kernel_id": "47118550"}]}
{"competition_id": "65148", "kernels": [{"ref": "xiaochuanyang/counting-numbers-of-clips-as-a-regression-problem", "kernel_id": "47158265"}]}
{"competition_id": "65242", "kernels": []}
{"competition_id": "65245", "kernels": []}
{"competition_id": "65279", "kernels": [{"ref": "aravindhmp/2023-psl-week-using-bloomberg-news", "kernel_id": "47153182"}, {"ref": "chamodkalupahana/cham-psl-bloomberg", "kernel_id": "47121482"}]}
{"competition_id": "65332", "kernels": [{"ref": "abebe9849/baseline-for-pathology-ai-competetion", "kernel_id": "45511645"}, {"ref": "abebe9849/lora-mil", "kernel_id": "48982464"}, {"ref": "abebe9849/semisl", "kernel_id": "48648505"}, {"ref": "codemaivanngu/2023-09-07-kaggle-env", "kernel_id": "93401574"}]}
{"competition_id": "65350", "kernels": [{"ref": "rahulcris07/life-expectancy-eda-all-regressions-test-r-0-91", "kernel_id": "47411139"}, {"ref": "digitsingh/eda-and-regression-for-life-expectancy-prediction", "kernel_id": "47285542"}, {"ref": "annafabris/who-life-expectancy-a-catboost-shortcut", "kernel_id": "47452032"}, {"ref": "aarushiksk/who-life-expectancy-random-forest", "kernel_id": "47474621"}, {"ref": "brpuneet898/who-life-expectancy-notebook-for-beginners", "kernel_id": "47439838"}, {"ref": "mbranover/who-life-expectancy-prediction", "kernel_id": "47486797"}, {"ref": "luficergfree/final-solution-of-mine", "kernel_id": "47489559"}, {"ref": "luficergfree/who-is-still-alive-with-eda", "kernel_id": "47298863"}, {"ref": "akshatshaw7/a-beginners-work", "kernel_id": "47393877"}, {"ref": "nikhil9084/who-life-expectancy-prediction", "kernel_id": "47477861"}, {"ref": "ajaymoladiya/who-life-expectancy-prediction", "kernel_id": "51163098"}, {"ref": "mostafagoharshadi/mlpnewcleanmethod", "kernel_id": "75308798"}, {"ref": "longquc/who-life-expectancy-prediction", "kernel_id": "82071012"}, {"ref": "longquc/who-life-expectancy-prediction-ysc-2025-k20", "kernel_id": "82932296"}, {"ref": "longquc/who-life-expectancy-prediction-solution-of-mine", "kernel_id": "83352318"}]}
{"competition_id": "65396", "kernels": []}
{"competition_id": "65415", "kernels": []}
{"competition_id": "65418", "kernels": [{"ref": "saravanansdd/strong-cement-for-sustainable-applications", "kernel_id": "47183496"}]}
{"competition_id": "65427", "kernels": []}
{"competition_id": "65445", "kernels": [{"ref": "paddykb/lgbm-mapie-birth-weight-oh-my", "kernel_id": "47359352"}, {"ref": "gusbruschi13/just-playing-eda-histgradientboosting-mapie", "kernel_id": "47522292"}, {"ref": "docxian/prediction-interval-i-birth-weight", "kernel_id": "47257467"}, {"ref": "oscarm524/prediction-interval-eda-modeling-submission", "kernel_id": "47320532"}, {"ref": "cmougan/started-code-mapie-lasso", "kernel_id": "47410941"}, {"ref": "maiernator/exploration-of-baby-data-finetuned-catboost", "kernel_id": "47420043"}, {"ref": "jbomitchell/pi-random-forest", "kernel_id": "47553179"}, {"ref": "carlmcbrideellis/starter-pi-competition-i-quantile-regression", "kernel_id": "47253256"}, {"ref": "iqbalsyahakbar/prediction-interval-for-beginners", "kernel_id": "47373859"}, {"ref": "neupane9sujal/interval-prediction", "kernel_id": "47361709"}, {"ref": "haseebwar07/prediction-interval-birth-weight", "kernel_id": "47308872"}, {"ref": "ananyamehta19/quantile-regression-with-eda-n-dpl", "kernel_id": "47534250"}, {"ref": "zeus75/birth-weight-cfp", "kernel_id": "48345670"}, {"ref": "syerramilli/lgbm-conformal-reg-part-1-eda-tuning", "kernel_id": "48425964"}, {"ref": "syerramilli/lgbm-conformal-reg-part-2-prediction-intervals", "kernel_id": "48669805"}, {"ref": "syerramilli/catboost-multi-quantile-regression", "kernel_id": "48661039"}, {"ref": "fanhuaiyuan/stranger", "kernel_id": "48385199"}, {"ref": "thomasmeiner/pred-interval-birth-weight-pipelines-generator", "kernel_id": "49993505"}, {"ref": "jiankyr/prediction-interval-eda1-datalearning", "kernel_id": "50558964"}, {"ref": "jiankyr/feature-engineering", "kernel_id": "50059483"}, {"ref": "jiankyr/labeling-encoding", "kernel_id": "50059888"}, {"ref": "sa4444/prediction-interval-birth-weight", "kernel_id": "50474774"}, {"ref": "thomasmeiner/birth-weight-with-mondrian-conformal-regression", "kernel_id": "50820920"}, {"ref": "thomasmeiner/birth-weight-with-bluecast-catboost", "kernel_id": "50976805"}, {"ref": "thomasmeiner/birth-weight-with-bluecast", "kernel_id": "50073363"}, {"ref": "thomasmeiner/birth-weight-with-crepes-conformal-prediction", "kernel_id": "50192871"}, {"ref": "lucenator/good-performance-using-coarsage-algorithm", "kernel_id": "51785889"}, {"ref": "raddar/catboost-uncertainty", "kernel_id": "51537570"}, {"ref": "kidkoala/baby-weight-prediction-with-catboost-and-mapie", "kernel_id": "51704506"}, {"ref": "yutodennou/competition-catboost", "kernel_id": "51923503"}, {"ref": "jefjai/conformalized-catboost-uncertainty-w-o-hyperopt", "kernel_id": "51591586"}, {"ref": "rabitwhte/3rd-place-solution", "kernel_id": "53443372"}, {"ref": "ambrosm/pibw-divide-and-conquer", "kernel_id": "53119830"}, {"ref": "jiankyr/6th-solution-s-notebook", "kernel_id": "54226841"}, {"ref": "jianhanyi/lgbm-mapie-birth-weight-oh-my-f10ba9", "kernel_id": "102400526"}]}
{"competition_id": "65448", "kernels": []}
{"competition_id": "65468", "kernels": [{"ref": "ssegui/baseline-learning-2-count", "kernel_id": "47287809"}]}
{"competition_id": "65471", "kernels": [{"ref": "mennahtullasameh/nn-arabic-handwriting-recognition", "kernel_id": "47537577"}, {"ref": "yannchikk/image-classfication-with-efficentnet", "kernel_id": "47929489"}, {"ref": "yannchikk/image-classification-tensorflow-starter-code", "kernel_id": "47831795"}, {"ref": "abdelrahmanmahmoud0/resnet-vit-from-scratch-arabic-mnist-93-ipynb", "kernel_id": "47577903"}, {"ref": "abdelrahmanmahmoud0/finetune-resnet50-on-arabic-letters-ipynb", "kernel_id": "47418930"}, {"ref": "hossamahmed320210083/arabic-letters-classification", "kernel_id": "47797787"}, {"ref": "aliabdelrahimkatry/arabic-alpha", "kernel_id": "47946466"}, {"ref": "yousefgomaa43/nn-arabic-handwriting-320210207", "kernel_id": "47738029"}, {"ref": "mazenmahmoud79/efficientnet-b7-for-arabic-letters-classification", "kernel_id": "48236867"}, {"ref": "a1medessam/le-nn-arabic-handwriting-recognition-du-roi", "kernel_id": "48168065"}, {"ref": "fatemahabib320210173/fatema-ahmed-320210173", "kernel_id": "48278712"}, {"ref": "mohamedosama162/arabic-letters-classification", "kernel_id": "48270533"}, {"ref": "abdullahhelmy1001/320210338-aid-arabiclettersclassification", "kernel_id": "48267929"}, {"ref": "abdalahmohamed/arabic-letter-classification", "kernel_id": "48224868"}, {"ref": "sama320210069/notebookea5e36d810", "kernel_id": "48270165"}, {"ref": "marawan1234/arabic-letters-classification", "kernel_id": "48278630"}, {"ref": "himmler/nn-arabic-handwriting-320210126", "kernel_id": "48081282"}, {"ref": "ahmedfarghly001/notebook86d3afdc00", "kernel_id": "48287050"}, {"ref": "nourseenelshamy/notebook622d051a48", "kernel_id": "48279324"}, {"ref": "ahmedfayezahmed/notebook527dec6757", "kernel_id": "48281781"}, {"ref": "killa92/f1-0-95-arabic-letters-classifier-pytorch", "kernel_id": "49553486"}, {"ref": "ahmedhanafi55/arabic-mnist-classification", "kernel_id": "72206488"}, {"ref": "engthanoon/arabic-handwriting-320210207", "kernel_id": "83748344"}, {"ref": "nourseenelshamy/nn-arabic-handwriting-summer", "kernel_id": "90891098"}, {"ref": "abdelrahmanashraf1/arabic-letter-classification", "kernel_id": "90944607"}, {"ref": "hbiomed/ee678-hamed-for-arabic-letters-classification", "kernel_id": "101327175"}]}
{"competition_id": "65472", "kernels": [{"ref": "clehmann10/tutorial-using-multiple-sklearn-models", "kernel_id": "47877933"}, {"ref": "jackie96/car-price-prediction-h2o-stack-ensemble", "kernel_id": "47860479"}, {"ref": "ironman2810/car-characteristics-analysis-and-cleaning", "kernel_id": "47534102"}, {"ref": "virajhemantha/car-prices-prediction", "kernel_id": "47917944"}, {"ref": "muradpitafi/car-price-prediction", "kernel_id": "47805094"}, {"ref": "muhammadahmed3092/cars-price-prediction-using-advanced-regression", "kernel_id": "47853459"}, {"ref": "luficergfree/hi-i-am-luficer-g", "kernel_id": "47623391"}, {"ref": "akshatshaw7/h0w-to-top-find-out-how-i-came-4th-0", "kernel_id": "47739370"}, {"ref": "japeralrashid/predict-car-prices", "kernel_id": "47598596"}, {"ref": "coolboyraghu/car-price-prediction", "kernel_id": "47743362"}, {"ref": "sudee1947gmailcom/notebook587573da18-cp", "kernel_id": "48123270"}, {"ref": "shashwatpatel/car-price-prediction-using-catboost", "kernel_id": "48071753"}, {"ref": "adhiwirahardi/tuned-xgboost-regression", "kernel_id": "48108100"}, {"ref": "adhiwirahardi/car-price-pred-knn-xgb-svr-nn", "kernel_id": "48061945"}, {"ref": "yashusinghal/catboostregressor-currently-at-2st", "kernel_id": "48224237"}, {"ref": "amulyat29/regression-car-price-prediction", "kernel_id": "48885806"}, {"ref": "ramachandraamarthi/catboost-carprice-preds", "kernel_id": "48909986"}, {"ref": "saliharanauzun/car-price-prediction-with-cnn", "kernel_id": "48548895"}, {"ref": "saliharanauzun/car-price-prediction", "kernel_id": "48540134"}, {"ref": "yorkyong/car-price-prediction-xgboost-catboost", "kernel_id": "48490842"}, {"ref": "mdismielhossenabir/car-price-prediction", "kernel_id": "49018106"}, {"ref": "garguday67/car-price-prediction", "kernel_id": "49743623"}, {"ref": "sturarods/car-price-predict-w-hgbr-gbr-xgb-lr-r-l", "kernel_id": "49993623"}, {"ref": "mikhailnaumov/car-price-prediction-xgboost", "kernel_id": "49211237"}, {"ref": "ulytkch/finding-issues-in-car-price-prediction-dataset", "kernel_id": "50667350"}, {"ref": "shivambhardwaj6969/car-price-prediction", "kernel_id": "50115638"}, {"ref": "shgyg99/carpriceprediction", "kernel_id": "50150105"}, {"ref": "dhruvgarg1010/car-price-prediction", "kernel_id": "50110774"}, {"ref": "tusharatkare06/car-price-prediction", "kernel_id": "50914194"}, {"ref": "nipunarandeer/notebook7b917705rd", "kernel_id": "52703760"}, {"ref": "itziarcampojuarros/notebook89241fff10", "kernel_id": "52446314"}, {"ref": "thiagomantuani/carprice-eda-model-get-started", "kernel_id": "54529599"}, {"ref": "minhalo/notebookbfecf0d828", "kernel_id": "54714214"}, {"ref": "himaanishaggarwal/car-price-prediction", "kernel_id": "54262959"}, {"ref": "muradpitafi/car-price-prediction-using-h2o", "kernel_id": "55643915"}, {"ref": "grooper/simple-tuning-hyper-params-with-optuna", "kernel_id": "57082349"}, {"ref": "lebinhthanh/carpriceprediction-eda-train-model-tuning", "kernel_id": "57524095"}, {"ref": "grooper/demonstration-for-study-group-with-car-data", "kernel_id": "60547465"}, {"ref": "rajusaipainkra/car-price-prediction-model-getting-started", "kernel_id": "61319901"}, {"ref": "rajusaipainkra/car-price-prediction-xgboost-hyper-tuning", "kernel_id": "61370282"}, {"ref": "marius2303/top-14-car-price-prediction-xgb", "kernel_id": "62013267"}, {"ref": "alaawaelmo/car-price-prediction", "kernel_id": "63654562"}, {"ref": "amavidu/car-price-prediction-a", "kernel_id": "64136101"}, {"ref": "nadeeapsara/autoam", "kernel_id": "64175686"}, {"ref": "jmjathaf/car-price-prediction", "kernel_id": "64449689"}, {"ref": "m6isnotthebesttank/car-price-predict-using-tensorflow-with-xgbooster", "kernel_id": "66887650"}, {"ref": "pakinthongraar/car-price-randomforest", "kernel_id": "67102824"}, {"ref": "sonualexantony/car-price-prediction-competition", "kernel_id": "75624018"}, {"ref": "mminbaol/car-price-prediction-with-cnn", "kernel_id": "96763650"}]}
{"competition_id": "65473", "kernels": []}
{"competition_id": "65511", "kernels": []}
{"competition_id": "65529", "kernels": [{"ref": "jiazengwang/risky-financial-firms-classification-with-ai-ml-t", "kernel_id": "47807830"}, {"ref": "shubhamsaini11/risky-financial-firms-classification-with-ai-ml-t", "kernel_id": "78184903"}]}
{"competition_id": "65530", "kernels": []}
{"competition_id": "65542", "kernels": [{"ref": "mohamedwassem/notebook8fcd1bd0fd", "kernel_id": "48351729"}, {"ref": "aidarjpg/chd-vit", "kernel_id": "78044918"}, {"ref": "aidarjpg/chd-hog-baseline", "kernel_id": "78039436"}, {"ref": "iqra3rd/congenital-heart-disease1", "kernel_id": "78425474"}, {"ref": "abhinavnair090909/densenet-baseline", "kernel_id": "113628162"}]}
{"competition_id": "65553", "kernels": []}
{"competition_id": "65614", "kernels": []}
{"competition_id": "65615", "kernels": [{"ref": "xinxichen/random-circle", "kernel_id": "47520810"}, {"ref": "yaoyiyao/circles-by-llms", "kernel_id": "47557541"}]}
{"competition_id": "65623", "kernels": []}
{"competition_id": "65625", "kernels": []}
{"competition_id": "65626", "kernels": [{"ref": "mohammedessam97/planttraits2024-pytorch-starter-notebook", "kernel_id": "50770676"}, {"ref": "umar47/planttraits-torch-starter-cnn-resnet", "kernel_id": "50931277"}, {"ref": "umar47/planttraits-creating-segments", "kernel_id": "50944598"}, {"ref": "kool777/planttraits-2024-extensive-eda", "kernel_id": "50893645"}, {"ref": "stpeteishii/plant-images-with-target-values", "kernel_id": "50638865"}, {"ref": "stpeteishii/planttraits-album", "kernel_id": "50560688"}, {"ref": "stpeteishii/planttraits-histplot", "kernel_id": "50554807"}, {"ref": "mpwolke/fgvc11-planttraits-2024-gan", "kernel_id": "50524731"}, {"ref": "mpwolke/plantstraits-feather-low-memory", "kernel_id": "50575256"}, {"ref": "saurav9786/eda-for-planttraits2024", "kernel_id": "50553742"}, {"ref": "awsaf49/planttraits2024-kerascv-starter-notebook", "kernel_id": "50135553"}, {"ref": "thejas2002/planttraits-eda", "kernel_id": "50900731"}, {"ref": "dantheshark/planttraits2024-fgvc11", "kernel_id": "50836828"}, {"ref": "michalinahulak/understand-the-task", "kernel_id": "50980491"}, {"ref": "rui314/planttraits-resnet18", "kernel_id": "50872457"}, {"ref": "mikolajkloczewski/planttraits2024-efficentnetb0", "kernel_id": "50833525"}, {"ref": "eshasabir17gmailcom/plant-train-esha", "kernel_id": "50695435"}, {"ref": "umar47/planttraits-just-autogluon", "kernel_id": "51135639"}, {"ref": "inagana/planttraits2024-simple-eda", "kernel_id": "51989869"}, {"ref": "kolovrado/planttraits2024-wrong-but-insane-score", "kernel_id": "51210263"}, {"ref": "markwijkhuizen/planttraits2024-eda-training-pub", "kernel_id": "51163126"}, {"ref": "skorpion21/knowing-thy-plants-training-and-inference", "kernel_id": "51974791"}, {"ref": "clementbrigliano/planttraits-eda-baseline", "kernel_id": "51460358"}, {"ref": "gennadiimanzhos/planttraits2024-my-vision", "kernel_id": "51639855"}, {"ref": "michalinahulak/eda-target", "kernel_id": "51977085"}, {"ref": "michalinahulak/mean-submission", "kernel_id": "51209720"}, {"ref": "michalinahulak/separate-ml-models", "kernel_id": "51081755"}, {"ref": "michalinahulak/tabular-data-deep-learning", "kernel_id": "51648680"}, {"ref": "athitheyagobinathan/planttraits2024-no-eda-baseline-models", "kernel_id": "51776664"}, {"ref": "richolson/plant-trait-visualizer", "kernel_id": "51892946"}, {"ref": "richolson/extreme-seed-mass-and-heights-a-clue", "kernel_id": "51995957"}, {"ref": "richolson/tabular-only-for-positive-score", "kernel_id": "51663703"}, {"ref": "harshitrajpal2508/understand-the-task", "kernel_id": "51526572"}, {"ref": "harshitrajpal2508/planttraits2024-eda-training-pub", "kernel_id": "51932781"}, {"ref": "harshgoel2001/notebook181799d3bc", "kernel_id": "51939189"}, {"ref": "harshgoel2001/planttraits2024-eda-training-pub", "kernel_id": "51939009"}, {"ref": "sitzaeverygalaxy/planttraits2024-test", "kernel_id": "51282884"}, {"ref": "iglovikov/mixup-aug-example-in-albumentations", "kernel_id": "52008771"}, {"ref": "erevear/planttraits-working-through-the-nature-article", "kernel_id": "52560758"}, {"ref": "inagana/planttraits2024-baseline-beginners-pl-starter", "kernel_id": "52078392"}, {"ref": "pollicio/planttraits-resnet18-chile", "kernel_id": "52808058"}, {"ref": "mateuszkonopelski/optimizing-xgboost-with-gpu-enabled-tpe", "kernel_id": "52856011"}, {"ref": "pedromartnezbarrn/detailed-eda-overview", "kernel_id": "52184009"}, {"ref": "pedromartnezbarrn/tf-data-generator", "kernel_id": "52510309"}, {"ref": "sakaitt/planttraits2024-submit", "kernel_id": "52153003"}, {"ref": "richolson/view-plants-by-species", "kernel_id": "52135247"}, {"ref": "shubham246763/plant", "kernel_id": "52590815"}, {"ref": "yujansaya/efficientnetv2-ensemble-keras-feature-selection", "kernel_id": "52041646"}, {"ref": "laukikavhad/pytorch-planttraints2024", "kernel_id": "53178980"}, {"ref": "hdjojo/modified-planttraits2024-eda-training", "kernel_id": "53649724"}, {"ref": "abhijitdarekar001/plant-traits-2024-efficientnet", "kernel_id": "53397186"}, {"ref": "richolson/tabular-imagenet-multi-target-regression", "kernel_id": "53629109"}, {"ref": "richolson/efficientnetb0-only-for-positive-score", "kernel_id": "53421024"}, {"ref": "richolson/imagenet-tabular-lgbm", "kernel_id": "53436118"}, {"ref": "richolson/mistral-fine-tune-no-pineapple-on-pizza-train", "kernel_id": "53217250"}, {"ref": "richolson/tabular-images-cnn-multi-target-regression", "kernel_id": "53902509"}, {"ref": "nick33990/planttrait-convformer-mlp", "kernel_id": "53955242"}, {"ref": "user15864/planttraits2024", "kernel_id": "53942442"}, {"ref": "sitzaeverygalaxy/planttraits2024-kerascv-notebook-test", "kernel_id": "53736551"}, {"ref": "huavoyager/notebook46e92888ad", "kernel_id": "53120229"}, {"ref": "huavoyager/plant", "kernel_id": "53227712"}, {"ref": "vivekgediya/planttraits2024-fgvc11", "kernel_id": "54606016"}, {"ref": "nityaakalra/data-analysis", "kernel_id": "54748229"}, {"ref": "lottevanzwol/modified-planttraits2024-eda-training", "kernel_id": "54506825"}, {"ref": "n0obed/planttraits-plots", "kernel_id": "54291316"}, {"ref": "juliuslandsman/data-analysis", "kernel_id": "54503398"}, {"ref": "tabrom/baseline-tabio", "kernel_id": "54504210"}, {"ref": "tabrom/submission-tabio", "kernel_id": "54783123"}, {"ref": "parthbagda/planttraits2024", "kernel_id": "54888179"}, {"ref": "mariesophiesimon/cnn-training", "kernel_id": "54733404"}, {"ref": "user15864/notebook9ed7a45fa4", "kernel_id": "54264892"}, {"ref": "user15864/first-pred-result", "kernel_id": "54705139"}, {"ref": "julianroddeman/lookup-basetrain", "kernel_id": "54612996"}, {"ref": "user0938479/imagenet-tabular-xgboost", "kernel_id": "54736004"}, {"ref": "apatti01/imagenet-tabular-xgboost", "kernel_id": "54506806"}, {"ref": "dickblankvoort/planttraits2024-exploration-models", "kernel_id": "54306918"}, {"ref": "samanvaysiddharth/planttraits2024101", "kernel_id": "54820204"}, {"ref": "yyyyy7105/planttrait-baseline-no-log", "kernel_id": "54889877"}, {"ref": "tgibbons/planttraits2024-gibbons-notebook", "kernel_id": "55560882"}, {"ref": "piantic/how-to-inference-mllm-multimodalllm-llava-phi3", "kernel_id": "55915688"}, {"ref": "amiteshpatil/fork-of-tabular-imagenet-multi-target-regres", "kernel_id": "55103034"}, {"ref": "dabumts/tabular-data-deep-learning", "kernel_id": "55300801"}, {"ref": "kishanr1082/efficientnetv2-planttraits2024-prediction", "kernel_id": "55089906"}, {"ref": "tygofrancissen/plant-notebook", "kernel_id": "55344092"}, {"ref": "janneke0210/train-planttraits-plantclef-model", "kernel_id": "55460408"}, {"ref": "janneke0210/submission-planttraits-plantclef-model", "kernel_id": "55482187"}, {"ref": "engamohammed/planttraits2024", "kernel_id": "55037345"}, {"ref": "mariesophiesimon/cnn-test", "kernel_id": "55219117"}, {"ref": "m6789j2/tabular-data-deep-learning", "kernel_id": "55558038"}, {"ref": "julianroddeman/hyperparam-search", "kernel_id": "55802518"}, {"ref": "julianroddeman/baseline-julian-features-duo-model", "kernel_id": "55439729"}, {"ref": "julianroddeman/baseline-julian-features", "kernel_id": "55324556"}, {"ref": "julianroddeman/submission-julian-features", "kernel_id": "55346196"}, {"ref": "apatti01/planttraits2024-ensemble-approach", "kernel_id": "55209628"}, {"ref": "yyjjhh66/notebook02180ef2f6", "kernel_id": "55353051"}, {"ref": "tarndeepsingh16/planttraits2024-fgvc11", "kernel_id": "55003511"}, {"ref": "satyajeetpatil2/notebook715dcc678c", "kernel_id": "55293616"}, {"ref": "marthijnvdeelen/planttraits2024-kerascv-starter-notebook", "kernel_id": "55892321"}, {"ref": "mariekevanvreeswijk/train-vae", "kernel_id": "55461204"}, {"ref": "korotas/9th-place-planttraits2024-dinov2-catboost", "kernel_id": "56499239"}, {"ref": "dabumts/model-ensemble", "kernel_id": "56019277"}, {"ref": "tygofrancissen/modified-planttraits2024-eda-training", "kernel_id": "56326240"}, {"ref": "janneke0210/inference-on-train-planttraits-plantclef-model", "kernel_id": "56335875"}, {"ref": "caosongliang/just-submit", "kernel_id": "56685076"}, {"ref": "m6789j/test-xgbo", "kernel_id": "56469811"}, {"ref": "apatti01/ensemble-approach-all-3-approaches-combined", "kernel_id": "56545707"}, {"ref": "dickblankvoort/segmentation-notebook", "kernel_id": "56268502"}, {"ref": "dickblankvoort/plant-notebook", "kernel_id": "56087678"}, {"ref": "dickblankvoort/inet-improve-model", "kernel_id": "56481277"}, {"ref": "mariekevanvreeswijk/submission-vae", "kernel_id": "56703037"}, {"ref": "syerramilli/planttraits-efficientvit-embeddings", "kernel_id": "57852607"}, {"ref": "syerramilli/planttraits-xgboost-tabular-embeddings", "kernel_id": "57855697"}, {"ref": "syerramilli/planttraits-efficientnet-image-tabular", "kernel_id": "57258011"}, {"ref": "syerramilli/planttraits-tabular-xgboost-optuna", "kernel_id": "57229433"}, {"ref": "tabrom/ensemble", "kernel_id": "57329763"}, {"ref": "janneke0210/train-tab", "kernel_id": "57073900"}, {"ref": "janneke0210/train-plantclef-x50", "kernel_id": "57344641"}, {"ref": "janneke0210/train-tab-mlp", "kernel_id": "57342530"}, {"ref": "janneke0210/submission-planttraits-plantclef-x50-separate", "kernel_id": "57332324"}, {"ref": "horikitasaku/plant-baseline-train", "kernel_id": "57502581"}, {"ref": "luepoe/tabular-data-training", "kernel_id": "57277530"}, {"ref": "mariesophiesimon/segmentation", "kernel_id": "57313730"}, {"ref": "denniswang42/best-plantwork", "kernel_id": "57334688"}, {"ref": "julianroddeman/submission-tabular-concat-ensemble", "kernel_id": "57939607"}, {"ref": "julianroddeman/tabular-pca-submission", "kernel_id": "57431104"}, {"ref": "julianroddeman/tabular-concat-ensemble", "kernel_id": "57368435"}, {"ref": "dickblankvoort/eda-filtering-out-bad-pictures", "kernel_id": "57408962"}, {"ref": "dickblankvoort/eda-training-alternative-swin", "kernel_id": "57827351"}, {"ref": "jfseabra/planttraits24", "kernel_id": "58750620"}, {"ref": "foxtrot22/planttraits-spearmen-corr", "kernel_id": "58014168"}, {"ref": "nityaakalra/planttraits-efficientnet-image-tabular", "kernel_id": "58316938"}, {"ref": "tygofrancissen/modified-planttraits2024-eda-training-re-training", "kernel_id": "58284406"}, {"ref": "rijkkaggle/anytabular-param-optimizer", "kernel_id": "58392987"}, {"ref": "rijkkaggle/image-tabular-swin", "kernel_id": "58902227"}, {"ref": "rijkkaggle/final-tabular", "kernel_id": "58667287"}, {"ref": "bkm1280/modified-planttraits2024-eda-training", "kernel_id": "58502678"}, {"ref": "riverfog7/efficientnet-image-tabular-eda-training", "kernel_id": "58401690"}, {"ref": "luepoe/stacked-ensemble", "kernel_id": "58118458"}, {"ref": "luepoe/v2-stacked-ensemble", "kernel_id": "58127713"}, {"ref": "julianroddeman/sub-baseline-julian-features-duo-model", "kernel_id": "58804131"}, {"ref": "apatti01/planttraits2024-pytorch-used-for-corr-analysis", "kernel_id": "58898368"}, {"ref": "lisafung/attention-maps-for-simple-swin-transformer", "kernel_id": "58744132"}, {"ref": "lisafung/simple-swin-transformer-v1-planttraits2024", "kernel_id": "58495592"}, {"ref": "jamessuryaputra/danger-men-at-botany", "kernel_id": "58564364"}, {"ref": "dickblankvoort/label-free-segmentation-filtering-attempts", "kernel_id": "58905260"}, {"ref": "dickblankvoort/inet-magnitude-difference-test", "kernel_id": "58212670"}, {"ref": "dickblankvoort/ensemble-model", "kernel_id": "58198300"}, {"ref": "dickblankvoort/modified-planttraits2024-eda-training-re-training", "kernel_id": "58167525"}, {"ref": "antoniocarpes/fork-of-imagenet-tabular-xgboost-corr-analy", "kernel_id": "58991027"}, {"ref": "potcoveanuflorin/planttraits-efficientnet-image-tabular", "kernel_id": "58514927"}, {"ref": "juliuslandsman/swin-inference", "kernel_id": "59074382"}, {"ref": "chanchal24/plant-disease-recognition-using-dl", "kernel_id": "59269186"}, {"ref": "juuzuul/dinov2-catboost", "kernel_id": "61115479"}, {"ref": "gurminder12/plant-disease", "kernel_id": "65267696"}, {"ref": "haonanah/mlip-group-26-planttraits-fgvc11-training", "kernel_id": "71177927"}, {"ref": "gurminder12/plant-identification-1fd659", "kernel_id": "72076861"}, {"ref": "yvanator/rat-planttraits2024", "kernel_id": "72328350"}, {"ref": "biansun/how-to-inference-mllm-multimodalllm-llava-phi3", "kernel_id": "73096834"}, {"ref": "emilyouy/notebookd045cb8b9c", "kernel_id": "85055326"}, {"ref": "mikhailmakurov/notebook75b77d7583", "kernel_id": "85088177"}, {"ref": "zorornoa/plantstraits", "kernel_id": "90019229"}, {"ref": "adsfsgrfg/updated-plant", "kernel_id": "91244389"}, {"ref": "wangyufei1053/notebook0cec1764c4", "kernel_id": "97959339"}, {"ref": "orennizry/planttraits2024-oren-roi-and-or", "kernel_id": "108969483"}, {"ref": "arvinazmisava/viskom-planttraits2024", "kernel_id": "113949284"}, {"ref": "virtuistaken/perseptron", "kernel_id": "118491435"}, {"ref": "temurturan/persepron", "kernel_id": "120629070"}, {"ref": "virtuistaken/cross-attention", "kernel_id": "121340866"}, {"ref": "temurturan/notebomodel-f0-y-kleniyor-model-f1-ok0b5ddf281f", "kernel_id": "121763956"}, {"ref": "couterit/ai-doctor-plant", "kernel_id": "128194677"}]}
{"competition_id": "65704", "kernels": [{"ref": "zaburo/iterative-replacement-of-k-successive-moves", "kernel_id": "48066912"}, {"ref": "zhambalov/brute-force", "kernel_id": "48088472"}, {"ref": "paulorzp/interative-cubes", "kernel_id": "48822559"}, {"ref": "paulorzp/magic-cube-utilities", "kernel_id": "48294466"}, {"ref": "robikscube/santa-2023-polytope-permutation-first-look", "kernel_id": "48133568"}, {"ref": "seshurajup/1-157-991-ensemble-santa-2023", "kernel_id": "48078834"}, {"ref": "seshurajup/cube-nxnxn-corners-edges-center-positions", "kernel_id": "48579052"}, {"ref": "seshurajup/heuristic-transformer-lightning-faster-20s-rust", "kernel_id": "48757315"}, {"ref": "cl12102783/cancel-pairs-for-all-puzzles", "kernel_id": "48835543"}, {"ref": "siukeitin/santa-2023-cp-modeling-of-wreath-n-n-for-n-6-7", "kernel_id": "48449855"}, {"ref": "reeseb777/visualize-globe-in-2d", "kernel_id": "48996708"}, {"ref": "asiknow/visualize-wreath-21-21-21", "kernel_id": "48274611"}, {"ref": "zakirkhanaleemi/santa-2023-greedy-baseline-improvement", "kernel_id": "48112585"}, {"ref": "dan3dewey/santa-2023-pondering-permutations", "kernel_id": "48193270"}, {"ref": "madhur321/solving-christmas-ornament-puzzles", "kernel_id": "48115168"}, {"ref": "ryanholbrook/getting-started-with-santa-2023", "kernel_id": "48181552"}, {"ref": "shitovvladimir/optimize-any-solution-with-group-theory-approach", "kernel_id": "48980042"}, {"ref": "vinitkp/santa-2023", "kernel_id": "48899771"}, {"ref": "alexandervc/santa23-simple-matrix-breadth-searches-solvers", "kernel_id": "48831393"}, {"ref": "alexandervc/santa23-template", "kernel_id": "48949865"}, {"ref": "alexandervc/santa23-random-walks", "kernel_id": "48950820"}, {"ref": "alexandervc/santa23-eda", "kernel_id": "48753952"}, {"ref": "jazivxt/santa-optimization-competition-2023-prep", "kernel_id": "48032133"}, {"ref": "jazivxt/wayfinder", "kernel_id": "48047503"}, {"ref": "jazivxt/so23-collective-benchmarks", "kernel_id": "48129936"}, {"ref": "jazivxt/visualize-using-pythreejs", "kernel_id": "48315832"}, {"ref": "clehmann10/beginner-s-a-star-algorithm-tutorial", "kernel_id": "48168653"}, {"ref": "clehmann10/ida-star-algorithm-tutorial", "kernel_id": "48187740"}, {"ref": "elvenmonk/visual-manual-wreath-100-100-solver", "kernel_id": "48666248"}, {"ref": "elvenmonk/merged-1st-4th-and-28th-score-52696", "kernel_id": "48201897"}, {"ref": "elvenmonk/santa-puzzles", "kernel_id": "48098780"}, {"ref": "elvenmonk/manual-visual-globe-solver", "kernel_id": "48810748"}, {"ref": "stpeteishii/sample-sub-cube-2-2-2-moves-3d-animation", "kernel_id": "48559833"}, {"ref": "stpeteishii/cube-4-4-4-search-moves-optuna", "kernel_id": "48511427"}, {"ref": "stpeteishii/sample-sub-globe-2-6-moves-3d-animation", "kernel_id": "48624474"}, {"ref": "stpeteishii/sample-sub-wreath-33-33-moves-3d-animation", "kernel_id": "48629696"}, {"ref": "stpeteishii/sample-sub-wreath-33-33-moves-3d-animation2", "kernel_id": "48703479"}, {"ref": "stpeteishii/puzzle-solution-initial-state-move-visualize", "kernel_id": "48140838"}, {"ref": "stpeteishii/santa-2023-create-permutation-and-mapping", "kernel_id": "48126752"}, {"ref": "stpeteishii/allowed-moves-and-calculating-similarity", "kernel_id": "48179019"}, {"ref": "stpeteishii/sample-sub-cube-5-5-5-moves-3d-animation", "kernel_id": "48330229"}, {"ref": "stpeteishii/sample-sub-globe-6-4-moves-3d-animation", "kernel_id": "48850998"}, {"ref": "anishmallick2019/cube-222-mlp-heuristic-based-result", "kernel_id": "48567093"}, {"ref": "mpwolke/polytopes-by-gr-nbaum-b-boole-stott", "kernel_id": "48152353"}, {"ref": "mpwolke/polylollitope-puzzle-the-cube", "kernel_id": "48128705"}, {"ref": "r1chardson/puzzle-distributions-for-santa-2023", "kernel_id": "48117783"}, {"ref": "seanbearden/solve-all-nxnxn-cubes-w-traditional-solution-state", "kernel_id": "48545732"}, {"ref": "seanbearden/kociemba-w-greedy-all-3x3x3-ensemble", "kernel_id": "48431395"}, {"ref": "seanbearden/santa-2023-kociemba-w-greedy-1-116-526", "kernel_id": "48406122"}, {"ref": "edomingo/nxn-rubik-s-cube-3d-interactive-viz-plotly", "kernel_id": "48487698"}, {"ref": "bio4eta/operation-check", "kernel_id": "48047248"}, {"ref": "andradaolteanu/hms-dataset-analysis-xgboost-classification", "kernel_id": "48135535"}, {"ref": "wrrosa/santa-2023-kociemba-s-two-phase-algo-1-116-550", "kernel_id": "48354451"}, {"ref": "jbomitchell/santa-scorecard-2023", "kernel_id": "48258157"}, {"ref": "radhakrishnanb/puzzle-solver", "kernel_id": "48128817"}, {"ref": "marksix/solution-check-by-c", "kernel_id": "48895881"}, {"ref": "marksix/understand-the-probrem", "kernel_id": "48069925"}, {"ref": "marksix/visualize-allowed-moves", "kernel_id": "48494373"}, {"ref": "jacobsharples/permutation-background-for-santa-2023", "kernel_id": "48085230"}, {"ref": "nikitababich/identyfing-the-peaks-of-puzzle-completness", "kernel_id": "48223636"}, {"ref": "crodoc/greedy-improvement-of-valid-solutions", "kernel_id": "48063334"}, {"ref": "spookywooky5/dqn-rl-approach", "kernel_id": "48698221"}, {"ref": "kaanguven/efficientcube", "kernel_id": "48343849"}, {"ref": "jocelyndumlao/festive-puzzles-rescue-deck-the-halls-with-polyto", "kernel_id": "48044551"}, {"ref": "squarehare/q-learning-reinforcement-learning", "kernel_id": "48110770"}, {"ref": "squarehare/ensemble-of-brute-forcers", "kernel_id": "48223046"}, {"ref": "m1y7k8/santa-2023", "kernel_id": "48978007"}, {"ref": "satyaprakashshukl/eda-santa-2023-the-polytope-permutation-puzzle", "kernel_id": "48245771"}, {"ref": "jehuty02/trying-to-solve-all-puzzles-cube-nxnxn-for-now", "kernel_id": "48653619"}, {"ref": "amanmukati/santa-2024-puzzle", "kernel_id": "48963143"}, {"ref": "hafidabelayd/santa-2023-the-polytope-permutation-puzzle", "kernel_id": "48542789"}, {"ref": "werus23/solve-puzzles-with-self-supervision", "kernel_id": "48607401"}, {"ref": "davidlist/bidirectional-brute-force", "kernel_id": "48153127"}, {"ref": "davidlist/reverse-brute-force-with-pruning", "kernel_id": "48117221"}, {"ref": "davidlist/interactive-globe-puzzle-player", "kernel_id": "48538009"}, {"ref": "sasidharanm10/interactive-puzzle-solver-data-driven-approach", "kernel_id": "48461162"}, {"ref": "alexeyk12/santa-puzzles", "kernel_id": "48058502"}, {"ref": "bcsong/santa-basic-info", "kernel_id": "48378913"}, {"ref": "yunsuxiaozi/k-step-optimal-solution-with-random-prune-santa", "kernel_id": "48679293"}, {"ref": "yunsuxiaozi/summary-of-mainstream-algorithms-santa-2023", "kernel_id": "48670506"}, {"ref": "yunsuxiaozi/santa-n-n-n-solver-score-858528", "kernel_id": "48670367"}, {"ref": "yunsuxiaozi/open-your-eyes-to-see-the-world-santa", "kernel_id": "48555209"}, {"ref": "yunsuxiaozi/brute-force-santa-study", "kernel_id": "48567981"}, {"ref": "yunsuxiaozi/santa-2023-welcome-to-this-puzzle-game", "kernel_id": "48050617"}, {"ref": "yunsuxiaozi/a-study-notebook", "kernel_id": "48154796"}, {"ref": "yunsuxiaozi/k-step-optimal-solution-santa", "kernel_id": "48357410"}, {"ref": "yunsuxiaozi/santa-kociemba", "kernel_id": "48776384"}, {"ref": "metric/santa-2023-metric", "kernel_id": "48030576"}, {"ref": "pahirathannithilan/the-polytope-permutation-puzzle", "kernel_id": "48397655"}, {"ref": "whats2000/a-star-algorithm-polytope-permutation", "kernel_id": "48049477"}, {"ref": "aguangup/1-157-991-ensemble-santa-2023", "kernel_id": "48328064"}, {"ref": "maximeszymanski/ppo-deep-reinforcement-learning", "kernel_id": "48524041"}, {"ref": "laythaljorani/santa-23-evolutionary-computing-approach-1", "kernel_id": "48102537"}, {"ref": "laythaljorani/santa-23-ga-using-pygad", "kernel_id": "48429372"}, {"ref": "vik0u1/solve-all-nxnxn-cubes-w-traditional-solution-state", "kernel_id": "48648763"}, {"ref": "moyuto/q-learning-with-santacomp2023", "kernel_id": "48385358"}, {"ref": "middlehigh/permutation-with-kociemba", "kernel_id": "48406604"}, {"ref": "meiyappanmari/santa-2023-metric", "kernel_id": "48250724"}, {"ref": "vincentjb/solution-validator-fast-numpy-20-sec", "kernel_id": "48979934"}, {"ref": "aatamikorpi/3d-visualisation-using-rubik-s-cube-solver", "kernel_id": "48816529"}, {"ref": "glazed/humble-hillclimber", "kernel_id": "49006065"}, {"ref": "bprinz/visualizing-all-unique-solution-states", "kernel_id": "49326446"}, {"ref": "vicensgaitan/factoring-with-minkwitz-s-algorithm", "kernel_id": "49682135"}, {"ref": "vicensgaitan/minkwitz-10x-faster-with-pypy", "kernel_id": "49750652"}, {"ref": "tbhavnani/santa-2024-full-bfs-solution-un-optimized", "kernel_id": "49035260"}, {"ref": "solverworld/commuting-is-not-transitive", "kernel_id": "49232711"}, {"ref": "cl12102783/cancel-by-sign-change-rule-for-all-puzzles", "kernel_id": "49059801"}, {"ref": "cl12102783/cancel-by-triplet-group-for-cube-puzzles", "kernel_id": "49732996"}, {"ref": "jedannijenula/reinforcement-learning-with-torchrl-ppo-example", "kernel_id": "49255929"}, {"ref": "shitovvladimir/visualizing-distance-to-solution", "kernel_id": "49166387"}, {"ref": "shitovvladimir/easily-visualize-moves-with-pandas", "kernel_id": "49488473"}, {"ref": "shitovvladimir/solve-alternating-colored-cubes", "kernel_id": "49337398"}, {"ref": "vinitkp/greedy-improvement-of-valid-solutions", "kernel_id": "49673150"}, {"ref": "snopoff/stable-baselines-for-cubes", "kernel_id": "49703868"}, {"ref": "snopoff/group-theory-of-santa-puzzles", "kernel_id": "49111655"}, {"ref": "snopoff/permutation-puzzles-as-integer-linear-programs", "kernel_id": "49829548"}, {"ref": "alexandervc/santa23-globe26-modeling5", "kernel_id": "49775194"}, {"ref": "alexandervc/santa23-randomwalk-commutative-groups-z-n-d", "kernel_id": "49221176"}, {"ref": "alexandervc/santa23-growth-heisenberg-group", "kernel_id": "49175775"}, {"ref": "alexandervc/santa23-distance-predictions", "kernel_id": "49069311"}, {"ref": "alexandervc/santa23-states-distance-generate-save", "kernel_id": "49045096"}, {"ref": "jazivxt/ocean-perl", "kernel_id": "49970356"}, {"ref": "jazivxt/using-rcube-solver", "kernel_id": "49730945"}, {"ref": "syedjarullahhisham/santa-2023-competition-mixup-solution", "kernel_id": "49190538"}, {"ref": "woosungyoon/interactive-cube-wreath-play", "kernel_id": "49384078"}, {"ref": "haliastudent/notebook80fe8c6045", "kernel_id": "49639768"}, {"ref": "lenferdetroud/wayfinder", "kernel_id": "49448107"}, {"ref": "hechtjp/santa-2023-networkx-find-shortest-path", "kernel_id": "49124899"}, {"ref": "nikitababich/hint-on-decoding-some-cubes-50k-decrease", "kernel_id": "49161012"}, {"ref": "ubaydulloasatullaev/polytope-permutation-santa-2024-01-23-787819", "kernel_id": "49870501"}, {"ref": "mydalaharsha/bfsfor35wreaths", "kernel_id": "49552495"}, {"ref": "r00man/santa-2023-metrics-testing", "kernel_id": "49042401"}, {"ref": "olegshpagin/wayfinder-82d4b", "kernel_id": "49641258"}, {"ref": "pratikpatil666/pratik-santa", "kernel_id": "49001821"}, {"ref": "vicfalbor/solve-puzzles-with-self-supervision", "kernel_id": "49197140"}, {"ref": "emanuelruzak/rubikai2", "kernel_id": "49806266"}, {"ref": "takumatoda/so23-wreath-solver", "kernel_id": "49922322"}, {"ref": "lorresprz/santa23-permutation-identities-of-cube-puzzles", "kernel_id": "49875990"}, {"ref": "ubaydullohasatullaev/using-rcube-solver", "kernel_id": "49870532"}, {"ref": "nikolenkosergei/wayfinder-01191e", "kernel_id": "49115286"}, {"ref": "nikolenkosergei/optimize-any-solution-with-group-theory-approach", "kernel_id": "49051382"}, {"ref": "nikolenkosergei/optimization-and-validation-of-puzzle-solutions", "kernel_id": "49068717"}, {"ref": "mariabistro/permutationpuzzle-interactive-playground", "kernel_id": "49154939"}, {"ref": "ruiyaoyang/optimization-problems", "kernel_id": "49924361"}, {"ref": "satishsathawane/santa-2023-polytopepuzzle-mastermind", "kernel_id": "49141029"}, {"ref": "solverworld/compare-your-submission-to-the-best", "kernel_id": "50319631"}, {"ref": "isaienkov/current-best-submission", "kernel_id": "50391524"}, {"ref": "shun2741/rl-approach-wreath-33-33-total-score-is-267", "kernel_id": "50207938"}, {"ref": "wuliaokaola/s2023-dev-cube6-2-0127", "kernel_id": "50041468"}, {"ref": "shitovvladimir/generate-commutators-for-cubes-and-globes", "kernel_id": "50339599"}, {"ref": "snopoff/group-theory-via-gap", "kernel_id": "50419269"}, {"ref": "alexandervc/01-growth-of-permutation-groups-compute-simple", "kernel_id": "50902997"}, {"ref": "alexandervc/search-for-permutation-implementations-on-int", "kernel_id": "50416733"}, {"ref": "elvenmonk/globe-395-solver-2-layer-1x", "kernel_id": "50069964"}, {"ref": "woosungyoon/interact-globe-puzzles", "kernel_id": "50300226"}, {"ref": "fujiwararyo/santa2023-gif-visualization-of-submission-15th", "kernel_id": "50297993"}, {"ref": "yeoyunsianggeremie/santa-2023-25th-place-moves-distribution", "kernel_id": "50290811"}, {"ref": "lenferdetroud/using-rcube-solver", "kernel_id": "50233842"}, {"ref": "johntermaat/java-tool-for-finding-shortcuts", "kernel_id": "50488198"}, {"ref": "taanieluleksin/milp-implementation-of-permutation-puzzles", "kernel_id": "50304687"}, {"ref": "asalhi/enstofindbestsolutionswithcancelpairs", "kernel_id": "50368138"}, {"ref": "davidlist/solving-cubes-with-matrix-transformations-31st", "kernel_id": "50153422"}, {"ref": "jumpeinagasawa/easy-to-understand-solution-for-globe3-33", "kernel_id": "50306518"}, {"ref": "ivanlydkin/permutation-model", "kernel_id": "50055335"}, {"ref": "anthoneoj/polytope-permutation-puzzle-ida-approach", "kernel_id": "50333325"}, {"ref": "harshitstark/santa-2023-the-polytope-permutation-puzzle", "kernel_id": "50284571"}, {"ref": "shitovvladimir/visualization-of-cayley-graphs", "kernel_id": "51920466"}, {"ref": "snopoff/globe-generator", "kernel_id": "51260851"}, {"ref": "snopoff/structural-analysis-of-globe-groups", "kernel_id": "51962910"}, {"ref": "alexandervc/growth-commutative-groups-z-p-d", "kernel_id": "51237178"}, {"ref": "bagdan/autodidactic-iteration-algorithm-for-cube-rube", "kernel_id": "53289324"}, {"ref": "romanvinogradov/random-walks-distance-to-solution-state", "kernel_id": "54851666"}, {"ref": "alexandervc/groups-growth-fast-compute-ut4", "kernel_id": "57017353"}, {"ref": "alexandervc/groups-growth-fast-compute-heisenberg", "kernel_id": "57009027"}, {"ref": "alexandervc/growth-ut4-analysis", "kernel_id": "57167838"}, {"ref": "alexandervc/groups-growth-fast-compute-ut5-6-7-8-etc", "kernel_id": "57434610"}, {"ref": "ka1242/puzzle15-fastmetropolis", "kernel_id": "57843806"}, {"ref": "alexandervc/group-generators-aux-function", "kernel_id": "58988676"}, {"ref": "ka1242/puzzle15-a", "kernel_id": "59879167"}, {"ref": "ka1242/rubik-s-cube-nn-solver-avg-solution-path-21", "kernel_id": "61852505"}, {"ref": "nursmen/s2023-dev-cube6-2-0127", "kernel_id": "62870939"}, {"ref": "fedmug/beamsearch-with-solution-for-rc3", "kernel_id": "64950730"}, {"ref": "ka1242/beamsearch-with-solution-for-rc3", "kernel_id": "64159351"}, {"ref": "kanavis/mlp-beamsearch-rc444-baseline", "kernel_id": "65691004"}, {"ref": "ka1242/beamsearch-with-solution-for-rc4", "kernel_id": "65744131"}, {"ref": "nikitachindin/beamsearch-with-solution-for-rc3", "kernel_id": "65096614"}, {"ref": "nikitachindin/beamsearch-with-solution-for-rc3-75e54a", "kernel_id": "65144624"}, {"ref": "olganikitina/beamsearch-by-policy-with-solution-for-rc3", "kernel_id": "65013204"}, {"ref": "alexandervc/santa-best-cube444", "kernel_id": "66622003"}, {"ref": "kanavis/rc4-beamsearch-mlp-baseline", "kernel_id": "66008610"}, {"ref": "lidiashishina/solve-all-nxnxn-cubes-w-traditional-solution-state", "kernel_id": "66923954"}, {"ref": "alexandervc/santa-best-combined", "kernel_id": "67321862"}, {"ref": "alexandervc/santa-puzzles-best-scores-and-numeric-states", "kernel_id": "67328947"}, {"ref": "amromanov/cayleypy-cube-git-base-line", "kernel_id": "67009608"}, {"ref": "alexandervc/gap-cannot-solve-rubik-s-cube-444", "kernel_id": "71346767"}, {"ref": "avm888/group-elements-decomposition-gap-limits", "kernel_id": "71988075"}, {"ref": "arseniylenin/group-theory-via-gap-part-1", "kernel_id": "72862968"}, {"ref": "arseniylenin/group-theory-via-gap-part-1-22f3fe", "kernel_id": "72946165"}, {"ref": "arseniylenin/group-theory-via-gap-part-1-303978", "kernel_id": "72929582"}, {"ref": "arseniylenin/group-theory-via-gap-part-1-f0febc", "kernel_id": "72962922"}, {"ref": "arseniylenin/group-theory-via-gap-part-1-bc5562", "kernel_id": "72972838"}, {"ref": "alexandervc/cube222-moves", "kernel_id": "73742466"}, {"ref": "avm888/group-theory-via-gap-neib-transpos", "kernel_id": "73436174"}, {"ref": "arseniylenin/group-theory-via-gap-neib-transpos", "kernel_id": "75745511"}, {"ref": "arseniylenin/group-theory-via-gap-part-1-1db502", "kernel_id": "77004340"}, {"ref": "caymon/cayleypy-hungarian-rings", "kernel_id": "84499148"}, {"ref": "mehrankazeminia/2-santa-2023-development-of-allowed-moves", "kernel_id": "86984933"}, {"ref": "mehrankazeminia/1-santa-2023-visualize", "kernel_id": "86980065"}, {"ref": "mehrankazeminia/3-santa-2023-examples-brute-force", "kernel_id": "87131842"}, {"ref": "mehrankazeminia/4-santa-2023-iteration-function", "kernel_id": "87233499"}, {"ref": "alexandervc/cayleypy-cube1", "kernel_id": "91064130"}, {"ref": "lilypilly/visualize-allowed-moves", "kernel_id": "91797819"}, {"ref": "tanhungng/minkwitz-10x-faster-with-pypy", "kernel_id": "99339938"}, {"ref": "alexandervc/fork-of-cayleypy-cube1", "kernel_id": "105565948"}, {"ref": "keerthika1010/santa-2023-cp-modeling-of-wreath-n-n-for-n-6-7", "kernel_id": "116246937"}]}
{"competition_id": "65711", "kernels": [{"ref": "kdmitrie/pgs41-easy-use-of-h2o-automl", "kernel_id": "39897709"}, {"ref": "nairnmcwilliams/pg-4-01-binary-classification-w-bank-churn-data", "kernel_id": "48876297"}, {"ref": "cv13j0/bank-churn-gbdt-ideas", "kernel_id": "48804378"}, {"ref": "toshimelonhead/tps-4-1-bank-attrition", "kernel_id": "48893030"}, {"ref": "abramova/s4e1-eda-shap-and-baseline", "kernel_id": "48931276"}, {"ref": "abramova/s4e1-simple-catboost-with-kfold-train", "kernel_id": "48932698"}, {"ref": "ksevta/s4e01-churn-prediction-0-88997", "kernel_id": "48925819"}, {"ref": "westedcrean/s4e1-eda-lightgbm-optimization", "kernel_id": "48916032"}, {"ref": "vassyesboy/bank-churn-eda-classification", "kernel_id": "48819009"}, {"ref": "gauravru0211/random-search-xgboost-one-hot-encoding", "kernel_id": "48963671"}, {"ref": "rishabh15virgo/first-impression-data-understanding-eda-baselinev1", "kernel_id": "48804473"}, {"ref": "docxian/ps-s4-e01-bank-churn-eda-correlation-glm-gbm", "kernel_id": "48817293"}, {"ref": "ryzhokhina/binary-classification-bank-churn", "kernel_id": "48903814"}, {"ref": "oscarm524/ps-s4-ep1-eda-modeling-submission", "kernel_id": "48800493"}, {"ref": "amaninaman/gridsearchcv-decisiontree-on-bank-churn-dataset", "kernel_id": "48979985"}, {"ref": "craigmthomas/play-s4e1-eda-basic-models", "kernel_id": "48976680"}, {"ref": "vinitkp/binaryclassification-churn", "kernel_id": "48987852"}, {"ref": "umar47/s4-e1-churns-eda-tuning-submisson-baseline", "kernel_id": "48807979"}, {"ref": "hubert101/pg-s04e01-your-universal-data-visualization-pipe", "kernel_id": "48839933"}, {"ref": "ssarkar445/s4e1-bank-churn-dataset-nn-xgb", "kernel_id": "48868611"}, {"ref": "tylerjthomas9/tps-s4e1-julia-evotrees-jl-baseline", "kernel_id": "48839426"}, {"ref": "ayhampar/catboostclassifier-0-89", "kernel_id": "48908942"}, {"ref": "stpeteishii/ps-s4e1-lgbm-w-optuna", "kernel_id": "48939218"}, {"ref": "stpeteishii/ps-s4e1-histplot", "kernel_id": "48826413"}, {"ref": "stpeteishii/ps-s4e1-lgbm-polynomialfeat-w-repeat", "kernel_id": "48871621"}, {"ref": "stpeteishii/ps-s4e1-catboost-w-optuna", "kernel_id": "48902285"}, {"ref": "kjihwan/ps4e1-eda-optuna-model-benchmark", "kernel_id": "48938060"}, {"ref": "mpwolke/bank-churn-pyspark", "kernel_id": "48830375"}, {"ref": "syerramilli/ps4e01-flaml-automl", "kernel_id": "48969565"}, {"ref": "syerramilli/ps4e01-lightgbm-eda-optuna", "kernel_id": "48846584"}, {"ref": "syerramilli/ps4e01-r-gam-eda", "kernel_id": "48877559"}, {"ref": "legendsoul/surname-phonetic-analysis", "kernel_id": "48881839"}, {"ref": "houssem23x/getting-started-with-lgbm", "kernel_id": "48885548"}, {"ref": "connorjd/simple-xgboost-baseline-submission-with-gridsearch", "kernel_id": "48835862"}, {"ref": "motensor/pgs4e1-baseline-simple-lightgbm-v2", "kernel_id": "48893121"}, {"ref": "motensor/pgs4e1-baseline-simple-lightgbm-v1", "kernel_id": "48857274"}, {"ref": "santusrk/simple-code-catboost-optuna", "kernel_id": "48999298"}, {"ref": "santusrk/just-catboost-stratifiedkfold-score-0-893", "kernel_id": "48882650"}, {"ref": "koushikphy/eda-pipeline-roc-smote-feature-importance", "kernel_id": "48896728"}, {"ref": "kuboiyusuke/notebook0a49d8ce94", "kernel_id": "48937701"}, {"ref": "danielfourie/ps4e1-bank-churn-eda-feature-engineering-ann", "kernel_id": "48955106"}, {"ref": "shwetalishimangaud/binary-classification-with-a-bank-churn-dataset", "kernel_id": "48981137"}, {"ref": "kdmitrie/pgs41-with-tabularcompetition-library", "kernel_id": "48865917"}, {"ref": "kdmitrie/pgs41-the-tutorial-on-using-autogluon", "kernel_id": "48907738"}, {"ref": "kdmitrie/pgs41-more-lines-of-autogluon", "kernel_id": "48994821"}, {"ref": "kdmitrie/pgs41-just-few-lines-of-autogluon", "kernel_id": "48950331"}, {"ref": "lonnieqin/bank-customer-churn-prediction-with-lgbm", "kernel_id": "48926661"}, {"ref": "sabasolgol/96-accurate-customer-churn-prediction-woe-iv", "kernel_id": "48916347"}, {"ref": "hopesb/binary-classification-with-a-bank-churn-dataset", "kernel_id": "48920022"}, {"ref": "shashwatpatel/binary-classification-using-catboost-simple", "kernel_id": "48868112"}, {"ref": "vidyalakshmy/ps-s4e1-eda-model-building-hyperparamtuning", "kernel_id": "48911872"}, {"ref": "tracyporter/play-4-1-jax-lin-reg", "kernel_id": "48906555"}, {"ref": "tracyporter/play-4-1-jax-lin-reg-stdev", "kernel_id": "48917865"}, {"ref": "tracyporter/play-4-1-rf-predict-proba", "kernel_id": "48877822"}, {"ref": "tracyporter/play-4-1-predict-proba", "kernel_id": "48861025"}, {"ref": "arlle26/s4e1-eda-xgb-optuna-lb0-886", "kernel_id": "48971208"}, {"ref": "ericibarra/pss4e1", "kernel_id": "48801662"}, {"ref": "tarukon5/bank-churn-prediction-eda", "kernel_id": "48989670"}, {"ref": "thomasmeiner/ps4e1-eda-feature-engineering-modelling", "kernel_id": "48851225"}, {"ref": "thomasmeiner/ps4e1-eda-model-ensemble-explainability", "kernel_id": "48808351"}, {"ref": "thomasmeiner/ps4e1-easy-fast-modeling-submission", "kernel_id": "48807642"}, {"ref": "thomasmeiner/ps4e1-bluecast-0-90", "kernel_id": "48888422"}, {"ref": "thomasmeiner/ps4e1-300-pipelines-in-one-notebook", "kernel_id": "48944240"}, {"ref": "betlbaak/ps4e01-bank-churn-classification-random-forest", "kernel_id": "48881609"}, {"ref": "abnerfreitas/s4e1-playground-bank-churn-prediction", "kernel_id": "48975437"}, {"ref": "chinmayadatt/notebook-analysing-bank-churn-dataset-0-89438", "kernel_id": "48847575"}, {"ref": "keenanzhuo/bank-churn-simple-ensemble-ok-results", "kernel_id": "48856134"}, {"ref": "pohzixiang/ps4e1-bank-churn-with-resampling", "kernel_id": "48808216"}, {"ref": "pchamoli191900/binary-classification-with-a-bank-churn-dataset", "kernel_id": "48825041"}, {"ref": "sabinakhadysy/binary-classification-bank-churn-dataset-xgb-model", "kernel_id": "48866154"}, {"ref": "marcogherbezza/bank-churn-dataset-eda-modelling", "kernel_id": "48824716"}, {"ref": "jimgruman/solution-in-r", "kernel_id": "48803538"}, {"ref": "moyamoya/bank-churn", "kernel_id": "48925183"}, {"ref": "chrisrellama/bank-churn", "kernel_id": "48802465"}, {"ref": "eldarsarajlic/bank-churn-simple-modeling", "kernel_id": "48820815"}, {"ref": "kaushaltiwari/basic-ensemble-model", "kernel_id": "48863685"}, {"ref": "jocelyndumlao/banking-customer-churn-analysis", "kernel_id": "48893416"}, {"ref": "wonsukj/simple-eda-ensemble-lgbm-xgb-cat", "kernel_id": "48923874"}, {"ref": "mdismielhossenabir/binary-classification-with-a-bank-churn-dataset", "kernel_id": "48824531"}, {"ref": "yeehawww/binary-classification-with-a-bank-churn-dataset", "kernel_id": "48812615"}, {"ref": "thomaswrightanderson/ps4e1-bank-churn-binary-classification-top-25", "kernel_id": "48836327"}, {"ref": "barbagrande007/bbg007-s4e1-bankchurn", "kernel_id": "48858736"}, {"ref": "bobojamson/pg-s4e1-eda-baselines-and-sklearn-pipeline", "kernel_id": "48974943"}, {"ref": "tdoh86/pg-202401-baseline", "kernel_id": "48830632"}, {"ref": "tdoh86/pg-202401-baseline-feats", "kernel_id": "48915702"}, {"ref": "valerybonneau/ps4e01-automl-test-with-bluecast-and-autogluon", "kernel_id": "48850902"}, {"ref": "satyaprakashshukl/bank-customer-churn-classification", "kernel_id": "48803407"}, {"ref": "satyaprakashshukl/simple-neural-network-class", "kernel_id": "48810361"}, {"ref": "ravi20076/playgrounds4e01-eda-baseline", "kernel_id": "48807907"}, {"ref": "jgabrielsb/ps4e1-eda-model-ensemble-step-by-step", "kernel_id": "48876274"}, {"ref": "prateekjain9525/first-notebook-xgb-random-forest-vs-neural-networ", "kernel_id": "48977226"}, {"ref": "younesaziz/binary-classification-with-a-bank-churn-dataset", "kernel_id": "48976115"}, {"ref": "starcs2001/playground-series-s4e1-first-draft", "kernel_id": "48856799"}, {"ref": "samrat12/churn-prediction-with-random-forest-87-03", "kernel_id": "48955093"}, {"ref": "userbitco/s4ep1-bankchurn-dataset", "kernel_id": "48839286"}, {"ref": "lseongho/binary-classification-with-a-bank-churn-lightgbm", "kernel_id": "48890167"}, {"ref": "timotheguy/first-eda-for-churn-dataset", "kernel_id": "48830950"}, {"ref": "timotheguy/a-first-simple-linear-model", "kernel_id": "48863385"}, {"ref": "timotheguy/scikit-learn-pipelines-for-better-workflow", "kernel_id": "48933334"}, {"ref": "bryamblasrimac/bankchurn-eda-multiplemodels-rocauc-89", "kernel_id": "48843239"}, {"ref": "lordpatil/automl-autogluon", "kernel_id": "48913977"}, {"ref": "lordpatil/unlock-the-power-of-lightgbm-hyperparams-tuning", "kernel_id": "48910809"}, {"ref": "lordpatil/easy-ensemble-model-no-phd-required", "kernel_id": "48863024"}, {"ref": "lordpatil/very-easy-xgboost-baseline", "kernel_id": "48849493"}, {"ref": "lordpatil/simple-light-gbm-base-line", "kernel_id": "48819300"}, {"ref": "dianaddx/churn-let-s-go-eda-lgbm", "kernel_id": "48827857"}, {"ref": "iveeaten3223times/ensemble-wizardry-auc-mastery", "kernel_id": "48813504"}, {"ref": "dhineshbabbu/adb-binary-classification-with-a-bank-churn", "kernel_id": "48949338"}, {"ref": "pasqualemar/binary-classification-with-a-bank-churn-eda", "kernel_id": "48863181"}, {"ref": "iqmansingh/bank-churn-kfold-lgbm-cat-xgb-ensemble", "kernel_id": "48826182"}, {"ref": "amanmukati/bank-churn-season-4-episode-1", "kernel_id": "48954452"}, {"ref": "sriharshaeedala/bank-churn", "kernel_id": "48832942"}, {"ref": "satomi54/churnprediction", "kernel_id": "48896003"}, {"ref": "muhannadmansour/eda-pca-classification-models", "kernel_id": "48864022"}, {"ref": "andrusha95/ps4e1-bankchurn-gb-lgbm", "kernel_id": "48900537"}, {"ref": "vidhikishorwaghela/binary-classification-with-a-bank-churn-dataset", "kernel_id": "48907601"}, {"ref": "vidhikishorwaghela/binary-classification-bank-churn-dataset", "kernel_id": "48868714"}, {"ref": "leonanmaciel/using-neural-networks-for-predictions", "kernel_id": "48874602"}, {"ref": "mohamedzaghloula/binary-classification-with-a-bank-churn-dataset", "kernel_id": "48892230"}, {"ref": "uzairshafique/eda-ensemble-modeling-customer-churn", "kernel_id": "48916060"}, {"ref": "suvammistry/ps-s04e1", "kernel_id": "48969424"}, {"ref": "kapturovalexander/kapturov-s-solution-of-ps-s4e1", "kernel_id": "48852062"}, {"ref": "recursive69/baseline-approach-with-lightgbm", "kernel_id": "48813260"}, {"ref": "realshaktigupta/bank-churn-classification-simple-ensemble", "kernel_id": "48897978"}, {"ref": "brpuneet898/ps4-1-catboost-model-0-88986", "kernel_id": "48923725"}, {"ref": "brpuneet898/ps4-1-eda-models-beginner-friendly", "kernel_id": "48808953"}, {"ref": "ashishkumarak/playground-s4e1-bank-churn-prediction-ensemble", "kernel_id": "48808396"}, {"ref": "thedesijuggad/bank-chunk-classification", "kernel_id": "48959929"}, {"ref": "abhinavmangalore/s4e1-bank-churn-prediction-1st-approach", "kernel_id": "48836842"}, {"ref": "iqbalsyahakbar/ps4e1-bank-churn-for-starters", "kernel_id": "48800532"}, {"ref": "stechparme/first-eda-view-and-try-submit", "kernel_id": "48802292"}, {"ref": "stechparme/try-pytorch-nn-tabular-data", "kernel_id": "48808204"}, {"ref": "eminztrk/xgboost-identifying-outliers", "kernel_id": "48996256"}, {"ref": "manasrai1406/simple-using-deep-learning-for-prediction", "kernel_id": "48882774"}, {"ref": "hridaym25/easy-pytorch-nn-optuna", "kernel_id": "48804934"}, {"ref": "hridaym25/basic-voting-stacking-ensemble", "kernel_id": "48812367"}, {"ref": "hridaym25/tensorflow-nn-with-lgbm-weights", "kernel_id": "48903451"}, {"ref": "dumanmesut/ps4e01-bank-churn-prediction-lgbm-xgb", "kernel_id": "48861785"}, {"ref": "abhijitdarekar001/eda-baseline-models-customer-churning", "kernel_id": "48861973"}, {"ref": "hmikraminfo/ps4e1-bankchurn-xgb", "kernel_id": "48864361"}, {"ref": "javohirtoshqorgonov/bank-churn-prediction-eda-analysis", "kernel_id": "48854549"}, {"ref": "hitenmandaliya/bank-churn-classification-eda-modelling", "kernel_id": "48873631"}, {"ref": "sharvithaa/bankchurndataset-xgboost", "kernel_id": "48878451"}, {"ref": "devavratpatil/bank-chrun-eda-feature-engg-xgb-lgbm-cat", "kernel_id": "48976094"}, {"ref": "suyashkapil/bank-churn-neural-networks", "kernel_id": "48835966"}, {"ref": "anubhavmaverick/bankchurn", "kernel_id": "48828020"}, {"ref": "harharharhar/bank-churnxbg-8-0", "kernel_id": "48878614"}, {"ref": "cybersimar08/bank-churn-oof-preds-xgb-cat-lgb", "kernel_id": "48818336"}, {"ref": "majidabdoos/ps4e1-simple-xgb-model", "kernel_id": "48889269"}, {"ref": "francescoliveras/ps-s4-e1-eda-model-en-es", "kernel_id": "48810662"}, {"ref": "mouadberqia/bank-churn-prediction-beginner-friendly-0-88959", "kernel_id": "48827520"}, {"ref": "divyanshuxyz/binary-classification-using-tensorflow", "kernel_id": "48880433"}, {"ref": "kavinbr20isr022/random-forest2", "kernel_id": "48824160"}, {"ref": "akhiljethwa/playground-s4e1-eda-modeling-xgboost", "kernel_id": "48833608"}, {"ref": "talnikarvishwam/xgb-hyperparameter-tunning", "kernel_id": "48901889"}, {"ref": "smitraval24/easy-to-understand-catboost-lightgbm-xgboost", "kernel_id": "48880877"}, {"ref": "rafiromolo/bank-churn-classification", "kernel_id": "48900712"}, {"ref": "rajsahu2004/initial-eda", "kernel_id": "48897260"}, {"ref": "waalbannyantudre/ps4-ep1-bank-churn-eda-catboost-baseline", "kernel_id": "48815461"}, {"ref": "ksakaida/simply-eda-and-lightgbm-for-japanese", "kernel_id": "48819583"}, {"ref": "yeemeitsang/bank-churn-prediction", "kernel_id": "48802656"}, {"ref": "kuryakin/ps-s4e1-eda-modeling-submission", "kernel_id": "48800648"}, {"ref": "viliuspstininkas/eda-cross-associational-analysis", "kernel_id": "48866924"}, {"ref": "mathewshuvarikov/bank-churn-dataset-with-nlp-hack", "kernel_id": "48839903"}, {"ref": "tarundirector/binary-classification-bank-churn-eda", "kernel_id": "48912659"}, {"ref": "fajemisinadeniyi/bank-churn-prediction", "kernel_id": "48998995"}, {"ref": "amonfujioka/2024-1-5", "kernel_id": "48950159"}, {"ref": "hidemasatonda/240104-lightgbm-ver0-2", "kernel_id": "48901964"}, {"ref": "hidemasatonda/230104-lighgbm-ver0-1", "kernel_id": "48897134"}, {"ref": "hidemasatonda/240103-lighgbm-ver0-1", "kernel_id": "48869337"}, {"ref": "hidemasatonda/240105-lightgbm-xgboost-ver0-1", "kernel_id": "48938115"}, {"ref": "alexeyk12/bank-customer-churn-prediction", "kernel_id": "48876680"}, {"ref": "abdallahgomaa/binary-classification-for-bank-customers", "kernel_id": "48858438"}, {"ref": "qahramonuktamov2205/bank-churn", "kernel_id": "48942485"}, {"ref": "endofnight17j03/bank-churn-xgboost-catboost", "kernel_id": "48832270"}, {"ref": "pavlobaranchuk/binary-classification-with-bank-churn", "kernel_id": "48909289"}, {"ref": "lucasdataartist/eda-bank-churn-dataset", "kernel_id": "48901139"}, {"ref": "lucasdataartist/modeling-feature-eng-bank-churn-dataset", "kernel_id": "48991850"}, {"ref": "yiwenyuan1998/tabular-deep-learning-with-pytorch-frame", "kernel_id": "48909420"}, {"ref": "kanishk026/simple-lgbm-classifier", "kernel_id": "48807472"}, {"ref": "habilamar/playground-s4e1", "kernel_id": "48879510"}, {"ref": "xietaowang/s4e01-simple-baseline-eda", "kernel_id": "48833787"}, {"ref": "vishnupriyagarige/bank-churn", "kernel_id": "48894698"}, {"ref": "yunsuxiaozi/pss4e1-baseline-lightautoml", "kernel_id": "48820745"}, {"ref": "mandritsamikhail/pgs-s4e1-data-insights-optuna-xgb-baseline", "kernel_id": "48904613"}, {"ref": "akshaykharate/bank-churn-prediction", "kernel_id": "48831605"}, {"ref": "gregemmen/binary-classification-for-bank-churn-ge-notebook", "kernel_id": "48961608"}, {"ref": "saravanadhanabal/bank-churn-prediction", "kernel_id": "48811236"}, {"ref": "utkarshx27/bank-churn-data-analysis-classification", "kernel_id": "48820480"}, {"ref": "pahirathannithilan/binary-classification-with-a-bank-churn-nithilan", "kernel_id": "48853086"}, {"ref": "ilya2raev/playground-series-s4e1-churn", "kernel_id": "48833489"}, {"ref": "maramalhinai/original-vs-generated", "kernel_id": "48866049"}, {"ref": "michaeloliver137/bank-churn-1", "kernel_id": "48896276"}, {"ref": "natchananprabhong/basic-bank-churn-prediction-xgb-random-forest", "kernel_id": "48933261"}, {"ref": "neilanshchauhan/ps-s4-e1-stacking-classifier-simple-0-88671", "kernel_id": "48955588"}, {"ref": "bertanpank/ps4e1-churn-classification", "kernel_id": "48816766"}, {"ref": "arunklenin/ps4e1-advanced-feature-engineering-ensemble", "kernel_id": "48818220"}, {"ref": "deniz2121/bank-churn", "kernel_id": "48994464"}, {"ref": "natalialimanska/bank-mljar", "kernel_id": "48953440"}, {"ref": "luficergfree/simplicity-is-the-key-to-success", "kernel_id": "48829373"}, {"ref": "kirtanmatalia26/binary-classification-with-a-bank-churn-dataset", "kernel_id": "48851929"}, {"ref": "shadechen/eda-and-lgb-prediction-for-bank-churn", "kernel_id": "48812684"}, {"ref": "fatmanurcetnturk/binary-classification-with-optuna-xgboost", "kernel_id": "48957215"}, {"ref": "aldrinlambon/15-insights-on-bank-churn", "kernel_id": "48857227"}, {"ref": "manavgupta92/smallest-notebook-you-ever-need-ps4e1", "kernel_id": "48821206"}, {"ref": "noepinefrin/bank-churn-scaled-encoded-xgb-w-best-tuned", "kernel_id": "48841700"}, {"ref": "commentsm/bank-churn-binary-classificatio", "kernel_id": "48878651"}, {"ref": "amulyat29/binary-classification-bank-churn-xgboost-lightgbm", "kernel_id": "48834822"}, {"ref": "ilhambagaz/kompetisi-bank-churn", "kernel_id": "48958640"}, {"ref": "mlbysoham/fine-tuned-ensemble-learning-on-churn", "kernel_id": "48983594"}, {"ref": "sanyamjain479/classification-sklearn", "kernel_id": "48941764"}, {"ref": "sovinasahni/bank-churn-prediction", "kernel_id": "48915121"}, {"ref": "yldzburhan/ps4e01-bank-churn-prediction-lgbm-xgb", "kernel_id": "48862805"}, {"ref": "haideraqeeb/bank-churn-notebook-model-ensemble-baseline", "kernel_id": "48832260"}, {"ref": "raaggeesingh/bank-churn-classification", "kernel_id": "48820429"}, {"ref": "tusharnarkhede/bank-churn", "kernel_id": "48959369"}, {"ref": "graphicsmonster/deep-learning-model-to-predict-bank-churn", "kernel_id": "48992558"}, {"ref": "thaonguyentrang/dummy-coding-preprocess-by-rapidminer-lightgbm", "kernel_id": "48825763"}, {"ref": "huseyinbaytar/ps4e01-bank-churn-prediction-lgbm-xgb", "kernel_id": "48862793"}, {"ref": "sandeepbora/eda-s4e1-bank-churn-prediction", "kernel_id": "48916323"}, {"ref": "akshatshaw7/simplest-notebook-for-beginners", "kernel_id": "48815064"}, {"ref": "ddosad/ps4e1-eda-neural-networks-bank-churn", "kernel_id": "48816924"}, {"ref": "haiber/bank-churn-binary-classification", "kernel_id": "48843257"}, {"ref": "joaquinemsarg/eda-feature-engineering-ensemble-model", "kernel_id": "48838208"}, {"ref": "saswattulo/bank-churn-prediction-auc-0-89-simply-explained", "kernel_id": "48920277"}, {"ref": "cheesegue/eda-bank-for-japanese", "kernel_id": "48800324"}, {"ref": "rajendrakpandey/binary-classification-with-a-bank-churn-dataset-v2", "kernel_id": "48948891"}, {"ref": "noobidoobidoo/kde-comparison-of-original-and-synthetic-data", "kernel_id": "48969633"}, {"ref": "jamiurrahmanjoy/churn-prediction-with-tensorflow", "kernel_id": "48942263"}, {"ref": "imtommi/eda-catboost", "kernel_id": "48806693"}, {"ref": "prathamesh0205/bank-crunch-eda-xgboost-lightgbm", "kernel_id": "48855124"}, {"ref": "rouhalahebrahimi/customer-churn-prediction-with-recurrent-nn", "kernel_id": "48975513"}, {"ref": "bhaskarboruah/bank-churn", "kernel_id": "48828945"}, {"ref": "bhaskarboruah/bank-churn-using-ann", "kernel_id": "48876975"}, {"ref": "sagravela/bank-churn-eda-xgb-lgbm-cat", "kernel_id": "48890196"}, {"ref": "anthonytherrien/linear-regressions-benchmark", "kernel_id": "48829740"}, {"ref": "hakim11/bank-churn-oof-preds-lgbm-catboost-xgb", "kernel_id": "48964020"}, {"ref": "hakim11/bank-churn-89-accuracy-with-ann", "kernel_id": "48956912"}, {"ref": "taichiuemura/balance-by-geography", "kernel_id": "48936425"}, {"ref": "taichiuemura/ps4e1-first-view", "kernel_id": "48801122"}, {"ref": "taichiuemura/ps4e1-baseline-lightgbm", "kernel_id": "48806260"}, {"ref": "pluspin/ps-s4-e01-hyperopt-xgboost", "kernel_id": "48896627"}, {"ref": "neelabhsomani/churn-prediction-with-ann", "kernel_id": "48957412"}, {"ref": "fanhuaiyuan/my-simple-baseline235235", "kernel_id": "48818326"}, {"ref": "najeebz/deep-learning-binary-classification-model-pruning", "kernel_id": "48891774"}, {"ref": "najeebz/bank-churn-gridsearchcv-xgboost-rf-abc-gbc", "kernel_id": "48977614"}, {"ref": "andrewbremner/bankchurn-s4e1-sklearn-models-vs-pytorch", "kernel_id": "48886143"}, {"ref": "prashikmeshram37/bank-churn", "kernel_id": "48897927"}, {"ref": "ishratunnisa/bankchurn-eda-n-prediction", "kernel_id": "48999461"}, {"ref": "lmipicaec/very-easy-network", "kernel_id": "48945437"}, {"ref": "bigadam/bank-churn", "kernel_id": "48836855"}, {"ref": "marouandaghmoumi/all-models-lr-knn-nb-cart", "kernel_id": "48821871"}, {"ref": "chhatrakhandelwal966/binary-classification-with-bank-churn", "kernel_id": "48949603"}, {"ref": "chaozhuang/ps4e01-tree-based-models-votingclassifier", "kernel_id": "48819242"}, {"ref": "sid4ds/ps-s4e1-deduplication-linear-model", "kernel_id": "48800383"}, {"ref": "wanana20/ps-s4e1-data-visualization-86-9", "kernel_id": "48813069"}, {"ref": "wanana20/ps-s4e1-r", "kernel_id": "48811570"}, {"ref": "saimondahal/bank-churn-prediction-for-beginners-0-89-score", "kernel_id": "48997662"}, {"ref": "yorkyong/churn-prediction-with-xgboost", "kernel_id": "48849667"}, {"ref": "yorkyong/bank-churn-eda-insights-through-data", "kernel_id": "48807545"}, {"ref": "yorkyong/churn-prediction-with-xgboost-v2", "kernel_id": "48879030"}, {"ref": "yorkyong/churn-prediction-ensemble-w-cb-xgb-lgbm", "kernel_id": "48952687"}, {"ref": "kadernarn/bank-churn-with-classification-models", "kernel_id": "48890871"}, {"ref": "nikhildigrase/binary-classification-with-a-bank-churn-dataset1", "kernel_id": "48948986"}, {"ref": "byteliberator/bank-churn-i-data-drift-adversarial-validation", "kernel_id": "48898087"}, {"ref": "byteliberator/bank-churn-i-1-click-eda-regularized-greedy-forest", "kernel_id": "48902706"}, {"ref": "renhuang8/bank-churn-dataset-atuogluon", "kernel_id": "48856423"}, {"ref": "c1trus/binary-classification", "kernel_id": "48985453"}, {"ref": "hieundai/bank-churn-xgboost-88-7", "kernel_id": "48960993"}, {"ref": "raghavendrarao/bankchurn-v1", "kernel_id": "49482801"}, {"ref": "meicher/retention-classifier", "kernel_id": "49061795"}, {"ref": "uzdavinys/pg-s04e01-fastai-tabular-model", "kernel_id": "49203628"}, {"ref": "bantoutou/a-not-accurate-but-simple-nn-with-pytorch", "kernel_id": "49567706"}, {"ref": "bantoutou/simple-non-linear-nn-with-pytorch", "kernel_id": "49378068"}, {"ref": "jinbao/bankcustomerchurnprediction-xgb", "kernel_id": "49824064"}, {"ref": "rockiecao/pss4e1-binaryclassificationbankchurn-ensemble", "kernel_id": "49115660"}, {"ref": "shashaalam/bank-churn-fa1", "kernel_id": "49895690"}, {"ref": "natasha23/binary-classification-bank-customer-churn-python", "kernel_id": "49526794"}, {"ref": "netojoseeaugusto/eda-lightgbm-xgboost-catboost-optuna", "kernel_id": "49148650"}, {"ref": "netojoseeaugusto/exploring-paa4e1", "kernel_id": "49903152"}, {"ref": "meantaek/binary-classification-bank-churn", "kernel_id": "49596856"}, {"ref": "ksevta/basic-ps4e01-eda-simple-ensemble", "kernel_id": "49368909"}, {"ref": "ksevta/ps4e1-xgb-dropout", "kernel_id": "49767317"}, {"ref": "nos4a2/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49067919"}, {"ref": "vassyesboy/scorecard-logistic-regression-s4e1", "kernel_id": "49851177"}, {"ref": "aspillai/bank-churn-catboost-0-89626", "kernel_id": "49618260"}, {"ref": "aspillai/bank-churn-dataset-classification-lightgbm", "kernel_id": "49498896"}, {"ref": "aspillai/churn-xgb-with-cat-features-and-pos-weights", "kernel_id": "49965628"}, {"ref": "arnogils/playground-s04e01-bank-churn-buildout", "kernel_id": "49314151"}, {"ref": "playingmyway/bank-churn-data-prediction", "kernel_id": "49841812"}, {"ref": "j2hoon85/playground-s4e1-eda-tutorial", "kernel_id": "49384399"}, {"ref": "mukul74/lb-0-86-s4e1-randomforest-bankchurnprediction", "kernel_id": "49452311"}, {"ref": "pratul007/bank-churn-prediction-with-adaptive-learning-rate", "kernel_id": "49568676"}, {"ref": "slythe/r-programming-getting-started-on-competitions", "kernel_id": "49624975"}, {"ref": "shuthdar/straightforward-solution-eda-with-dataprep", "kernel_id": "49885625"}, {"ref": "dkinvoker/playground-s04e01-beginner", "kernel_id": "49848400"}, {"ref": "deepakdodi/neural-networks-end-end-cat-boost-0-88-score", "kernel_id": "49172143"}, {"ref": "deepakdodi/guide-to-relu-leaky-elu-sigmoid-tanh-in-nn", "kernel_id": "49332370"}, {"ref": "maazsaiyed/ps4e1-simple-xgboost", "kernel_id": "49391832"}, {"ref": "chestadhingra/data-exploration-visualization-pandasdf", "kernel_id": "49299174"}, {"ref": "kurosakishusuke/bank-churn-classification-with-optuna-lgbm", "kernel_id": "49522662"}, {"ref": "sinjoysaha/binary-classification-bank-churn-eda", "kernel_id": "49397017"}, {"ref": "jurk06/lgbm-for-classification", "kernel_id": "49864739"}, {"ref": "saayan/customer-churn-save-the-heartbroke-bank", "kernel_id": "49553382"}, {"ref": "veirding/s4e01-bank-customer-churn-prediction", "kernel_id": "49251863"}, {"ref": "vaibhavbawej07/neural-networks-binaryclassification-accuracy-88-2", "kernel_id": "49256274"}, {"ref": "vaibhavbawej07/random-forest-binary-classification", "kernel_id": "49240918"}, {"ref": "stpeteishii/ps-s4e1-xgb-w-optuna", "kernel_id": "49013623"}, {"ref": "stpeteishii/ps-s4e1-ensemble-w-optuna", "kernel_id": "49033014"}, {"ref": "stpeteishii/ps-s4e1-ensemble-w-stackingregressor", "kernel_id": "49031491"}, {"ref": "stpeteishii/ps-s4e1-ensemble-w-votingregressor", "kernel_id": "49031972"}, {"ref": "stpeteishii/ps-s4e1-automl", "kernel_id": "49034441"}, {"ref": "stpeteishii/ps-s4e1-histplot-r", "kernel_id": "49913102"}, {"ref": "lasm1984/visualize-your-life", "kernel_id": "49331486"}, {"ref": "lasm1984/automatize-your-life", "kernel_id": "49188678"}, {"ref": "ted0071/ps4s1e-bank-churn-eda-model", "kernel_id": "49364520"}, {"ref": "ted0071/ps4s1e-bank-churn-voting-classifier", "kernel_id": "49792226"}, {"ref": "nikolayshchipitsin/catboost-woe-auc-825", "kernel_id": "49755261"}, {"ref": "kjihwan/optuna-visualization", "kernel_id": "49556283"}, {"ref": "anzarwani2/bank-churn-kaggle-playground-s4-ep1", "kernel_id": "49865513"}, {"ref": "gdataranger/bank-churn-xgboostclassifier", "kernel_id": "49959520"}, {"ref": "udbhavpangotra/extensive-eda-xgboost", "kernel_id": "49025434"}, {"ref": "apalladi/top-2-5-solution-catboost-optuna", "kernel_id": "49984037"}, {"ref": "jirayuwat12/bank-churn-dataset-autogluon", "kernel_id": "49769349"}, {"ref": "samlakhmani/0-886-unseen-features-automl-pycaret", "kernel_id": "49947583"}, {"ref": "samlakhmani/basic-feature-engineering-branch3", "kernel_id": "49928408"}, {"ref": "samlakhmani/interview-prep-for-faang", "kernel_id": "49769748"}, {"ref": "samlakhmani/automl-no-fe-0-883", "kernel_id": "49790293"}, {"ref": "parthr164/ps4e1-bank-churn-classification-lgbmclassifier", "kernel_id": "49327322"}, {"ref": "nicobarea/s4e1-roc-auc-lgbm-xgb", "kernel_id": "49013940"}, {"ref": "santusrk/soft-voting-classifier-xgb-cat-lgb-rf-4-0-889", "kernel_id": "49226136"}, {"ref": "nikhilmunakhiya/xgboost-0-88-score", "kernel_id": "49086611"}, {"ref": "kkhandekar/comparing-logistic-regression-frameworks", "kernel_id": "49907709"}, {"ref": "josmyrose/bank-customer-churn1-1", "kernel_id": "49173055"}, {"ref": "vishnuoum/bank-churn-classification-nb", "kernel_id": "49206304"}, {"ref": "jordirosell/single-catboost-s4e1-in-r", "kernel_id": "49906336"}, {"ref": "jordirosell/understanding-customerid-surname", "kernel_id": "49582841"}, {"ref": "nickfecondo/bank-churn-classification", "kernel_id": "49284411"}, {"ref": "seanandrie/ps-s4-e01-adaptive-weighted-ensemble", "kernel_id": "49032513"}, {"ref": "prakashadhikari/binary-classification-with-a-bank-churn", "kernel_id": "49933908"}, {"ref": "kdmitrie/pgs41-autogluon-cv", "kernel_id": "49353013"}, {"ref": "shubhams652/bank-churn-classification", "kernel_id": "49462454"}, {"ref": "rafiwidyansyah/stacked-model-optuna", "kernel_id": "49027175"}, {"ref": "yeonseokcho/bank-churn-classification", "kernel_id": "49392533"}, {"ref": "agshiv92/beginner-friendly-eda-modeling-submission", "kernel_id": "49833820"}, {"ref": "blohorn/classification-training", "kernel_id": "49330938"}, {"ref": "merlahari/bank-churn", "kernel_id": "49475840"}, {"ref": "arindambaruah/can-we-detect-an-event-of-a-bank-churn", "kernel_id": "49733560"}, {"ref": "kenconstable/ensemble-methods-to-predict-customer-churn-0-89", "kernel_id": "49021519"}, {"ref": "nyagami/bank-churn-classification-eda-boosting-ensemble", "kernel_id": "49391680"}, {"ref": "towhidultonmoy/easiest-way-to-use-kaggle-dataset-in-google-colab", "kernel_id": "49971235"}, {"ref": "towhidultonmoy/bank-churn-submission-roc-89", "kernel_id": "49921931"}, {"ref": "tanyajain3108/binary-classification-bank-churn", "kernel_id": "49352298"}, {"ref": "tracyporter/play-4-1-jax-log-reg-no-norm", "kernel_id": "49107796"}, {"ref": "tracyporter/play-4-1-jax-log-reg", "kernel_id": "49011212"}, {"ref": "suranjandas1990/playground-s4e1-eda-bank-churn-data", "kernel_id": "49079735"}, {"ref": "suranjandas1990/automl-pycaret-model-comparison", "kernel_id": "49755197"}, {"ref": "omkarchoulwar/bank-churn-eda-modelling", "kernel_id": "49300300"}, {"ref": "eviltrtl/bank-churn-with-embeddings", "kernel_id": "49900410"}, {"ref": "rafsunahmad/bank-churn-classification-kaggle-competition", "kernel_id": "49675233"}, {"ref": "samyakb/lgbm-auc-0-89-but-final-score-0-75", "kernel_id": "49613264"}, {"ref": "samyakb/using-xgboost-lightgbm", "kernel_id": "49203818"}, {"ref": "samyakb/catboost-tfid-vectorizer", "kernel_id": "49767683"}, {"ref": "yonatankpl/surname-classification-with-bert", "kernel_id": "49423796"}, {"ref": "marioandrs/edabinaryclassificationgato", "kernel_id": "49070655"}, {"ref": "thomasmeiner/ps4e1-survival-analysis", "kernel_id": "49017536"}, {"ref": "thomasmeiner/ps4e1-cosine-similarity", "kernel_id": "49134648"}, {"ref": "loycelorenzo/bank-churn-imbalance-data-oversampling-fast-ai", "kernel_id": "49004402"}, {"ref": "venkateshtantravahi/predicting-bank-customer-churn", "kernel_id": "49006876"}, {"ref": "zhukovoleksiy/ps-s4e1-new-season-eda-ensemble", "kernel_id": "49330004"}, {"ref": "naweendissanayake/notebook10e6e3407d", "kernel_id": "49876113"}, {"ref": "quratulain20/bank-customer-churn-prediction", "kernel_id": "49794152"}, {"ref": "quratulain20/bank-churn-prediction-using-catboost-and-lgbm", "kernel_id": "49987971"}, {"ref": "bertrandguillaume/bank-churn-classification", "kernel_id": "49743996"}, {"ref": "ttbrosltd/bank-churn-classification-eda-prediction", "kernel_id": "49644148"}, {"ref": "gullude/classification-using-logistic-regression-basic", "kernel_id": "49921854"}, {"ref": "tinatally/binary-clasification-eda-catboost", "kernel_id": "49544675"}, {"ref": "thierryneusius/new-features-and-target-encoding-for-the-surname", "kernel_id": "49066192"}, {"ref": "haroon669/binary-classification-with-the-bank-churn", "kernel_id": "49848563"}, {"ref": "dakshsethi/binary-classification", "kernel_id": "49590853"}, {"ref": "aymanerbaati/bankchurnpred", "kernel_id": "49720364"}, {"ref": "santosh1974/2024-ps-s4-e1-v8", "kernel_id": "49034880"}, {"ref": "santosh1974/2024-ps-s4-e1-v5", "kernel_id": "49017684"}, {"ref": "santosh1974/2024-ps-s4-e1", "kernel_id": "49001533"}, {"ref": "santosh1974/2024-ps-s4-e1-v1", "kernel_id": "49014153"}, {"ref": "abhinandansamal/bank-churn-prediction-logistic-regression-updated", "kernel_id": "49984619"}, {"ref": "abhinandansamal/bank-churn-prediction-decision-tree-classifier-upd", "kernel_id": "49994325"}, {"ref": "abhinandansamal/bank-churn-prediction-logistic-regression", "kernel_id": "49872397"}, {"ref": "gabedossantos/auto-ml-auto-ml-auto-everything", "kernel_id": "49367356"}, {"ref": "gabedossantos/optuna-xgboost-and-memes", "kernel_id": "49012814"}, {"ref": "une510/bank-churn-competition", "kernel_id": "49426625"}, {"ref": "chalseo/bank-customer-churn-binary-classification", "kernel_id": "49336146"}, {"ref": "eryaww/adversarial-validation-implementation-ps-s4-e1", "kernel_id": "49809909"}, {"ref": "sanskritikanagala/bank-churn-data", "kernel_id": "49802822"}, {"ref": "bhavikjikadara/bank-churn-classification-using-xgbclassifier", "kernel_id": "49651360"}, {"ref": "mohamedtahaouf/bank-churn-binary-classification", "kernel_id": "49597516"}, {"ref": "mohamedtahaouf/8901-bank-churn-using-catboostclassifier-cbc", "kernel_id": "49947586"}, {"ref": "krishna974/bank-customer-churn", "kernel_id": "49265891"}, {"ref": "srsses/binary-classifipcation", "kernel_id": "49047468"}, {"ref": "tuhinm2002/bank-churn-classification-pytorch", "kernel_id": "49306936"}, {"ref": "zhichaocheng/bank-churn-classification-xgb-lgbm-ensemble", "kernel_id": "49385093"}, {"ref": "fathyalin/voting-classifier-optuna-cross-validation", "kernel_id": "49484023"}, {"ref": "conradkleykamp/bank-churn-binary-classification-xgboost", "kernel_id": "49110202"}, {"ref": "shayalvaghasiya/binary-classification-bank-churn", "kernel_id": "49652985"}, {"ref": "arpitppatel/artificial-neural-network-template-ps4e1", "kernel_id": "49676223"}, {"ref": "bobojamson/pg-s4e1-sklearn-pipeline-histgradientboosting", "kernel_id": "49184120"}, {"ref": "bobojamson/pg4e1-stacked-ensemble-xgboost-w-feateng-logreg", "kernel_id": "49641875"}, {"ref": "hrhuynguyen/s24ep1-binary-classification-w-voting-classifier", "kernel_id": "49948881"}, {"ref": "valerybonneau/ps4e01-eda-fe-nn-ensemble-ml", "kernel_id": "49206285"}, {"ref": "valerybonneau/ps4e01-optuna", "kernel_id": "49280705"}, {"ref": "biswanathbose/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49552623"}, {"ref": "yinn94/bank-churn-predict-acc-0-76", "kernel_id": "49232462"}, {"ref": "hosseinbehjat/xgboost-optuna-pss4e1", "kernel_id": "49505181"}, {"ref": "ravi20076/playgrounds4e01-baseline-v2", "kernel_id": "49101133"}, {"ref": "junaidk0012/customer-churn-ann", "kernel_id": "49679722"}, {"ref": "dimakulbida/binary-classification-with-a-bank-churn-dataset-n1", "kernel_id": "49861678"}, {"ref": "joramirungu/bank-churn-dataset-binary-classification", "kernel_id": "49206559"}, {"ref": "olegshpagin/churn-features-exploring-xgb-lgb-cat", "kernel_id": "49643448"}, {"ref": "laxmikurapati/notebook3c4dffe562", "kernel_id": "49814388"}, {"ref": "laxmikurapati/xgb-and-dropout", "kernel_id": "49831185"}, {"ref": "muhriddinmalik/bank-churn-classification-competetion-notebook", "kernel_id": "49064821"}, {"ref": "anurag629/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49847706"}, {"ref": "timllll/voting-clf-optuna", "kernel_id": "49218741"}, {"ref": "lorispanza/basic-nn-0-88182", "kernel_id": "49892256"}, {"ref": "klyushnik/bank-churn-dataset-tensorflow", "kernel_id": "49153414"}, {"ref": "otcome/s4e1-eda-oof-xgboost-lgbm-catboost-ensemble", "kernel_id": "49074110"}, {"ref": "anibansal/classification-using-bank-churn-dataset", "kernel_id": "49631050"}, {"ref": "anibansal/bank-churn-basic", "kernel_id": "49570496"}, {"ref": "anibansal/bank-churn-playground", "kernel_id": "49576465"}, {"ref": "lordpatil/checking-out-pycaret", "kernel_id": "49347775"}, {"ref": "abdulmuid/binary-classification-with-88-accuracy", "kernel_id": "49984243"}, {"ref": "figolm10/bank-churn-prediction-acc-0-81", "kernel_id": "49677697"}, {"ref": "swarooprangle/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49870314"}, {"ref": "yash22ztarz4/notebook9b3b65047e", "kernel_id": "49868421"}, {"ref": "snehalpawar22/simple-eda-and-insights", "kernel_id": "49249575"}, {"ref": "iqmansingh/bank-churn-beginner-s-notebook", "kernel_id": "49386008"}, {"ref": "shagalsajid/binary-classification-eda-tensorflow", "kernel_id": "49643863"}, {"ref": "swish9/bank-churn-binary-classification", "kernel_id": "49166920"}, {"ref": "priyanshuganwani09/binary-classification-eda-modeling-gbdt", "kernel_id": "49256735"}, {"ref": "arwavis/binary-classification-bank-churn-dataset", "kernel_id": "49748608"}, {"ref": "akelsayed/bank-churn-randomforestclassifier-ak-1-90", "kernel_id": "49341660"}, {"ref": "akelsayed/bank-churn-catboostclassifier-ak-accuracy-90", "kernel_id": "49382733"}, {"ref": "akelsayed/bank-churn-prediction-model-ak-accuracy-97", "kernel_id": "49420550"}, {"ref": "akelsayed/bank-churn-xgbclassifier-ak-auc-0-97", "kernel_id": "49497174"}, {"ref": "niharpatel03/bank-churn-binary-classification-catboost", "kernel_id": "49841549"}, {"ref": "aaronlee97/exitedornot-voting-classifier", "kernel_id": "49228973"}, {"ref": "pranav28/bank-churn", "kernel_id": "49576246"}, {"ref": "pranav28/notebooke2b776720f", "kernel_id": "49573743"}, {"ref": "vayanshgarg/rf-xgb-cat-ensemble-bank-churn-notebook", "kernel_id": "49670266"}, {"ref": "rzatemizel/ensemble-pipeline-v-04", "kernel_id": "49167763"}, {"ref": "rzatemizel/a-feature-engineering-effort-that-is-worth-nothing", "kernel_id": "49852218"}, {"ref": "alnourabdalrahman9/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49190012"}, {"ref": "andregalhardo/nn-with-cv-tensorflow", "kernel_id": "49782700"}, {"ref": "alioraji/binary-classification-a-o", "kernel_id": "49104666"}, {"ref": "shreyasharma28/bank-churn", "kernel_id": "49591743"}, {"ref": "mohamedmaboshady/votingclassifier-lgbm-rf", "kernel_id": "49098035"}, {"ref": "mariusborel/i-almost-churn-out-of-the-competition", "kernel_id": "49549649"}, {"ref": "orestasdulinskas/bank-churn-classification", "kernel_id": "49321993"}, {"ref": "sergeypolivin/churn-prediction-using-catboost-with-bagging", "kernel_id": "49429745"}, {"ref": "kennanemera/ps4e1-catboost-model-stratifiedkfold", "kernel_id": "49940250"}, {"ref": "esmailessam/bank-churn-classification-full-eda-xgboost", "kernel_id": "49020950"}, {"ref": "samvelkoch/s4e1-openfe-470-features", "kernel_id": "49150204"}, {"ref": "guanmingwang/binary-classification", "kernel_id": "49928237"}, {"ref": "hongseoi/ps4e1-binary-classification-using-xgboost", "kernel_id": "49450124"}, {"ref": "hongseoi/ps4e1-binary-classification-using-lgbm", "kernel_id": "49569160"}, {"ref": "abhinavmangalore/s4e1-base-catboost-classifier", "kernel_id": "49583159"}, {"ref": "oyebamijimicheal/eloquent-eda-lightgbm-optuna-0-88945", "kernel_id": "49267055"}, {"ref": "stechparme/what-is-tabnet-tabnet-ensemble-en", "kernel_id": "49245414"}, {"ref": "ir1snvtien/part-1-getting-started-with-catboost-pipeline", "kernel_id": "49766129"}, {"ref": "stefansanchez26/bank-customer-churn-prediction", "kernel_id": "49179246"}, {"ref": "arjitdsce/binary-classification-bank-churn-dataset", "kernel_id": "49446036"}, {"ref": "devbilalkhan/amazing-graphs-deep-learning-0-88632", "kernel_id": "49929940"}, {"ref": "hridaym25/autogluon-eda", "kernel_id": "49300126"}, {"ref": "harleenkaurdeora/binary-classification-with-bank-churn-dataset", "kernel_id": "49890237"}, {"ref": "kriti264/bankchurn", "kernel_id": "49570349"}, {"ref": "dinamus/xgboost-churn-model-attempt", "kernel_id": "49297220"}, {"ref": "vladislavonufrienko/s4e1-eda-enn-catboostclass", "kernel_id": "49136412"}, {"ref": "obliquedbishop/bank-churn-analysis", "kernel_id": "49065070"}, {"ref": "hasnainadil/bank-churn-binary-classification-different-methods", "kernel_id": "49266122"}, {"ref": "muhammadnaumansair/bank-churn-binary-classification-dlnn", "kernel_id": "49812374"}, {"ref": "grandlee/bank-churn-prediction-ensemble", "kernel_id": "49606140"}, {"ref": "chunhsientsai/ps4e1-feature-engineering-single-xgb-240th", "kernel_id": "49504976"}, {"ref": "hasibullahaman/bank-churn-eda-binary-classification", "kernel_id": "49129109"}, {"ref": "denslinnunes/biclass-bank-churn", "kernel_id": "49840244"}, {"ref": "ankitvarshney02/automl", "kernel_id": "49081501"}, {"ref": "virajhemantha/xgboost-algorithm-fine-tuned-hyperparameters", "kernel_id": "49922250"}, {"ref": "nipun356/lgbm-and-xgb-boost-code", "kernel_id": "49471273"}, {"ref": "muradpitafi/binary-classification-with-bank-churn", "kernel_id": "49947231"}, {"ref": "jyoti404/binary-classification-with-bankchurndataset", "kernel_id": "49456571"}, {"ref": "mouadberqia/banc-churn-automl-version", "kernel_id": "49314181"}, {"ref": "meesh11/s4e1-rough-catboost", "kernel_id": "49999634"}, {"ref": "talnikarvishwam/cat-xgb-lgbm-with-huperparameter-tunning", "kernel_id": "49033102"}, {"ref": "pixelshooter/bank-churn-voting-prediction", "kernel_id": "49648785"}, {"ref": "pixelshooter/bank-churn-eda", "kernel_id": "49229029"}, {"ref": "smitraval24/xgboost-catboost-lightgbm-voting-classifier-v2", "kernel_id": "49708836"}, {"ref": "ronitakhariya/eda-fine-tuning-score-0-886", "kernel_id": "49402981"}, {"ref": "sanyamgoyal401/binary-classification-bank-churn-dataset", "kernel_id": "49405699"}, {"ref": "aaradhyabadal/trying-pca-on-surname-fail", "kernel_id": "49515819"}, {"ref": "mannacharya/88-6-xgboost-cv-bank-churn-classification", "kernel_id": "49012759"}, {"ref": "lakshmipriya190803/logistic-svm-nb-rf-xgb-cb-lightgbm-0-885", "kernel_id": "49014832"}, {"ref": "aldggr/simple-logistic-regression-solution", "kernel_id": "49121599"}, {"ref": "waalbannyantudre/exemple-d-overfitting-french-version", "kernel_id": "49548932"}, {"ref": "denisemtatih/bank-churn", "kernel_id": "49157163"}, {"ref": "ucas0v0zhuoqunli/ps4e1-flaml", "kernel_id": "49136363"}, {"ref": "alfiansyach23/bank-churned-prediction-gradient-boosting", "kernel_id": "49483016"}, {"ref": "manueldlabra/bank-churn-with-feature-engineering", "kernel_id": "49808291"}, {"ref": "bogdanbozga/bcbcd", "kernel_id": "49826294"}, {"ref": "viliuspstininkas/easy-tuning-of-neural-networks-with-optuna", "kernel_id": "49531378"}, {"ref": "adityasingh1231/binary-classification-on-bank-churn-data-set", "kernel_id": "49922945"}, {"ref": "carloscll/logist-regression-bank-churn-competition", "kernel_id": "49288857"}, {"ref": "carloscll/lgbm-playground-s4e1-halvingrandomsearch", "kernel_id": "49330444"}, {"ref": "shobhit2056/eda-scaling-technique-modelling-and-beyond", "kernel_id": "49440782"}, {"ref": "sanmatijain/bank-churn-binary-classification-using-lightgbm", "kernel_id": "49143242"}, {"ref": "cnezhmar/eda-binary-classification-bank-churn", "kernel_id": "49889790"}, {"ref": "burakksz/deep-learning-network-for-bank-churn-dataset-82", "kernel_id": "49380611"}, {"ref": "fabrciomacena/bank-churn-eda-gradientboosting-roc-curve", "kernel_id": "49572730"}, {"ref": "hidemasatonda/240127-4model-ensemble-ver0-3", "kernel_id": "49732064"}, {"ref": "shamsin/notebook7fe827b2b7", "kernel_id": "49594333"}, {"ref": "anopsy/xgb-pseudolabels-no-eda-no-fe", "kernel_id": "49217351"}, {"ref": "utkrishtdutta/banc-churn", "kernel_id": "49372136"}, {"ref": "healedbike/bankcustomer-baselinemodel", "kernel_id": "49456310"}, {"ref": "healedbike/bankcustomer-dataanalysis", "kernel_id": "49452908"}, {"ref": "bhavyaprakash02/bank-churn-86-accuracy", "kernel_id": "49972762"}, {"ref": "nikhilchadha1537/bank-churn-playground-problem", "kernel_id": "49522077"}, {"ref": "skv1436/pg-s04e01-bank-churn-prediction", "kernel_id": "49205619"}, {"ref": "goutham01/binary-classification", "kernel_id": "49691871"}, {"ref": "krystianpietrzak/ps04e1-catboost-optuna-pseudolabels", "kernel_id": "49373982"}, {"ref": "enizzzz/binary-classification-support-vector-machines", "kernel_id": "49922336"}, {"ref": "enizzzz/xgboost-light-gbm-cat", "kernel_id": "49926590"}, {"ref": "enizzzz/86-acc-neural-network-binary-classification", "kernel_id": "49890692"}, {"ref": "enizzzz/beginner-friendly-regression-classification", "kernel_id": "49314561"}, {"ref": "eu1234/bank-churn-easy-ensemble-with-pycaret", "kernel_id": "49644363"}, {"ref": "eu1234/bankchurn-nn-cat-xgb-lgbm-for-generalization", "kernel_id": "49622509"}, {"ref": "mostafaemad123/binary-classification-with-churn", "kernel_id": "49337516"}, {"ref": "hardikgarg03/bank-churn-random-forest-xgboost-and-lightbgm", "kernel_id": "49317999"}, {"ref": "dipds109/bank-churn-s4e1-catboost-0-896", "kernel_id": "49915721"}, {"ref": "phuocnguyenn/mlp-bank-churn", "kernel_id": "49324502"}, {"ref": "usm811/bank-churn-eda-prediction-catboost-neural-network", "kernel_id": "49949908"}, {"ref": "lucasdataartist/count-encoding-voting-bank-churn-dataset", "kernel_id": "49695306"}, {"ref": "mirkoferretti/notebookba75b60c9e", "kernel_id": "49978941"}, {"ref": "kagankoral/ps-s04e01-bank-churn-eda-binary-classification", "kernel_id": "49302669"}, {"ref": "vivekchaudhary04/churn-i-xgb-i-ann-i-eda-and-feature-engineering", "kernel_id": "49356815"}, {"ref": "sakshimunde/bank-churn-data-prediction", "kernel_id": "49034966"}, {"ref": "ashwinmali/bank-churn-classification", "kernel_id": "49623581"}, {"ref": "getanmolgupta01/bank-churn-eda-catboost-lgbm-xgboost", "kernel_id": "49645110"}, {"ref": "brmil07/binary-classification-with-a-bank-churn-data", "kernel_id": "49654080"}, {"ref": "vishnupriyagarige/bank-churn-prediction-xgb-lgb", "kernel_id": "49020775"}, {"ref": "vishnupriyagarige/bank-churn-data-with-lgbm", "kernel_id": "49939383"}, {"ref": "aaryansingh729/bank-churn-eda-model-ensemble-easy", "kernel_id": "49712481"}, {"ref": "aaryansingh729/easy-to-understand-ensemble", "kernel_id": "49115172"}, {"ref": "yunsuxiaozi/pss4e1-autogluon", "kernel_id": "49036710"}, {"ref": "yunsuxiaozi/pss4e1-learn-to-use-tabnet", "kernel_id": "49434913"}, {"ref": "shaikhabdulrafay03/bank-churn-dataset", "kernel_id": "49110719"}, {"ref": "dongrelaxman/bank-churn-prediction", "kernel_id": "49882928"}, {"ref": "anmolarora15/bank-churn-s04e01-eda-rf-xgboost-d", "kernel_id": "49211339"}, {"ref": "anmolarora15/bank-churns4e01-0-885-auc-roc-votingclassifier", "kernel_id": "49756021"}, {"ref": "neupane9sujal/binary-classification-lgbm", "kernel_id": "49394253"}, {"ref": "alirezaze/86-acc-testing-typical-classifiers", "kernel_id": "49326609"}, {"ref": "kollurusuhaas/binary-classification", "kernel_id": "49713087"}, {"ref": "jacobshaheen/binary-classification-of-bank-churn-round-2", "kernel_id": "49606524"}, {"ref": "joaquinmorillas/binary-regression-xgb", "kernel_id": "49755198"}, {"ref": "yasithakavishka/bank-churn-competition", "kernel_id": "49111175"}, {"ref": "varunguttikonda/bank-churn-competition", "kernel_id": "49138118"}, {"ref": "vibhorejain1/churn", "kernel_id": "49241849"}, {"ref": "vengadeshwaran58/bank-churn-prediction", "kernel_id": "49575065"}, {"ref": "claudiojnior/bank-churn-with-xgbclassifier", "kernel_id": "49380563"}, {"ref": "iamabhaytiwari/bank-churn-dataset", "kernel_id": "49837672"}, {"ref": "abhijit89kumar/banking-on-insights", "kernel_id": "49351994"}, {"ref": "dylangallagher03/bank-churn-with-automl-0-89157", "kernel_id": "49143694"}, {"ref": "yessicatuteja/bank-churn-classification-with-neural-network", "kernel_id": "49874013"}, {"ref": "seokhyokang/r-bank-churn-classification-w-nb-rf-and-lgbm", "kernel_id": "49088646"}, {"ref": "manindermaan/bank-churn-playground", "kernel_id": "49566754"}, {"ref": "akashdeepkataria/notebook29c13e767e", "kernel_id": "49590364"}, {"ref": "lucasrathgeb/binary-classification-of-bank-churn", "kernel_id": "49460731"}, {"ref": "divyam88/bank-chrun", "kernel_id": "49390775"}, {"ref": "samiratpadkar/classification-using-gradientboosting-lightgbm", "kernel_id": "49885577"}, {"ref": "samiratpadkar/0-88-accuracy-using-frequency-encoding-and-smote", "kernel_id": "49962900"}, {"ref": "harshitajakiya/xgboost-for-classification", "kernel_id": "49574179"}, {"ref": "michaeloliver137/bank-churn-k-fold-cv-and-ensemble-of-bdts", "kernel_id": "49189020"}, {"ref": "bmart80/bank-churn-dataset-votingclassifier", "kernel_id": "49051996"}, {"ref": "codlitswati/bank-churn-classification", "kernel_id": "49583083"}, {"ref": "nttthanh/churn-features-engineering-xgb-lgb-cat", "kernel_id": "49205794"}, {"ref": "antonbasharimov/churn-prediction-ensemble-w-cb-xgb-lgbm", "kernel_id": "49209936"}, {"ref": "khushibansal15/bank-churn-data", "kernel_id": "49371797"}, {"ref": "chhavidhankhar11/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49299937"}, {"ref": "arunklenin/ps4e01-text-transformations-pca-ensemble", "kernel_id": "49243393"}, {"ref": "akshaykhanna05/bank-churn-kaggle-competition", "kernel_id": "49592092"}, {"ref": "aparnasingh02/notebook333a054648", "kernel_id": "49540680"}, {"ref": "sturarods/bank-churn-preditions-w-lr-rf-knn-dt", "kernel_id": "49071700"}, {"ref": "junaidullhassan/churn-analysis-gradiantboosting-acc-88-auc-89", "kernel_id": "49751778"}, {"ref": "natalialimanska/bank-eda-feature-engin-autogluon", "kernel_id": "49086687"}, {"ref": "natalialimanska/bank-h2o-automl-simple-baseline", "kernel_id": "49304290"}, {"ref": "natalialimanska/bank-baseline-ensemble-gridsearch", "kernel_id": "49310405"}, {"ref": "yashusinghal/proper-way-to-use-cross-validation-0-89082", "kernel_id": "49978571"}, {"ref": "hardik201003/binary-classification-bank-churn", "kernel_id": "49317811"}, {"ref": "osamaabobakr/model-0-88-score", "kernel_id": "49325551"}, {"ref": "osamaabobakr/xgboost-base-model-0-88-score", "kernel_id": "49325029"}, {"ref": "maheshmani13/binaryclassification-logreg-adaboost-ann-automl", "kernel_id": "49302658"}, {"ref": "goyalharshit03/ps4e1-advanced-feature-engineering-ensemble", "kernel_id": "49091367"}, {"ref": "goyalharshit03/play-s4e1-eda-basic-models", "kernel_id": "49448892"}, {"ref": "goyalharshit03/notebook-hg", "kernel_id": "49790154"}, {"ref": "lamiaaloukhmiri/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49882307"}, {"ref": "arnavsharma45/bank-churn-prediction", "kernel_id": "49573671"}, {"ref": "skipperad/random-forest", "kernel_id": "49543833"}, {"ref": "skipperad/decision-tree", "kernel_id": "49484601"}, {"ref": "skipperad/bank-churn", "kernel_id": "49118380"}, {"ref": "anannoasif/bank-churn-autogluon", "kernel_id": "49349048"}, {"ref": "anannoasif/bank-chrn-randcv-own-work", "kernel_id": "49314084"}, {"ref": "anannoasif/bank-churn-using-stacked-prediction-model", "kernel_id": "49133358"}, {"ref": "nick33990/bankchurn-mlp", "kernel_id": "49839424"}, {"ref": "mbhosseini70/churn-problem-0-89-roc-auc", "kernel_id": "49940577"}, {"ref": "moyukhbiswas/bank-churn-dataset-classification", "kernel_id": "49874712"}, {"ref": "ramjaslangdi/binary-classification-bank-church", "kernel_id": "49535102"}, {"ref": "kashish50/bank-churn50", "kernel_id": "49395812"}, {"ref": "samarjeet09/basline-notebook-for-churn", "kernel_id": "49450266"}, {"ref": "eduardomarinho44/bank-churn-competition-binary-classification", "kernel_id": "49623048"}, {"ref": "eduardomarinho44/bank-churn-competition-random-forest-commented", "kernel_id": "49716176"}, {"ref": "rohangulati14/binary-classification", "kernel_id": "49536153"}, {"ref": "rohangulati14/easy-solution-for-binary-classification", "kernel_id": "49882938"}, {"ref": "divyam6969/bank-churn-using-different-type-of-models", "kernel_id": "49695632"}, {"ref": "divyam6969/bank-churn-binary-classification", "kernel_id": "49569222"}, {"ref": "divyam6969/bank-churns-basic-solution", "kernel_id": "49467342"}, {"ref": "divyam6969/89-catboost-classification", "kernel_id": "49939852"}, {"ref": "divyam6969/easy-binary-classification-0-89-accuracy", "kernel_id": "49848562"}, {"ref": "mannatsadana/bank-churn-binary-classification", "kernel_id": "49538750"}, {"ref": "dhruv5775/notebooka5931c1c86", "kernel_id": "49575843"}, {"ref": "aestroe/bank-churn", "kernel_id": "49580256"}, {"ref": "tarushirastogi/bankchurn", "kernel_id": "49589332"}, {"ref": "tarushirastogi/bankchurnclassifier-1", "kernel_id": "49779993"}, {"ref": "akshita0560/randomforest-bankchurn", "kernel_id": "49520112"}, {"ref": "muratbakirr/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49225503"}, {"ref": "vitchakorn/ps4e01-bank-churn-prediction", "kernel_id": "49673594"}, {"ref": "thermostatic/eda-ml-classifier-implementation", "kernel_id": "49964503"}, {"ref": "adebolarabiu/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49637739"}, {"ref": "energyshuma/lightgbm-improvement-by-age-categorization", "kernel_id": "49602730"}, {"ref": "energyshuma/simple-lightgbm-within-30-sec", "kernel_id": "49565414"}, {"ref": "energyshuma/simple-lgbm-0-8857-eda-by-shap", "kernel_id": "49874518"}, {"ref": "osakanateishoku/bank-churn-competition", "kernel_id": "49885422"}, {"ref": "abhinandansharma19/bank-churn-with-new-models-ensemble-learning", "kernel_id": "49886084"}, {"ref": "abhinandansharma19/binary-classification-competition", "kernel_id": "49514544"}, {"ref": "rgarg1234/bank-churn-prediction", "kernel_id": "49875125"}, {"ref": "khushimittal27/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49768888"}, {"ref": "yashaskirnapure/notebook5cc55b36a6", "kernel_id": "49528487"}, {"ref": "jasrehmatkaur/ramen-bankchurn", "kernel_id": "49792682"}, {"ref": "kumudithasilva/bank-churn-binary-classification", "kernel_id": "49576522"}, {"ref": "bharathtoutireddy/binary-classification-using-ensemble-methods", "kernel_id": "49948866"}, {"ref": "bharathtoutireddy/binary-classification-using-xgboost-and-neural-net", "kernel_id": "49935077"}, {"ref": "chiragmohangupta/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49393869"}, {"ref": "danishammar/bank-churn-165034-dl", "kernel_id": "49758845"}, {"ref": "danishammar/bank-churn-165034-rf", "kernel_id": "49799947"}, {"ref": "shacodes/s4e01-simple-baseline-eda", "kernel_id": "49248461"}, {"ref": "akashmishra091/prediction-by-randomforest", "kernel_id": "49297762"}, {"ref": "erikfolkesson/detailed-explanation-churn-prediction", "kernel_id": "49975369"}, {"ref": "cheesecke/bankchurnclassification", "kernel_id": "49773628"}, {"ref": "prajaktakohinkar/bank-churn-prediction-xgb-acc-0-89", "kernel_id": "49904668"}, {"ref": "kokush1bo/ps4e1-catboost", "kernel_id": "49349408"}, {"ref": "mdshariaremonshaikat/bank-customer-churn-prediction-gradient-boost-lr", "kernel_id": "49379378"}, {"ref": "mohdarifhakim/notebook20637050a5", "kernel_id": "49100363"}, {"ref": "shashanks1202/binary-classification-for-bank-churn", "kernel_id": "49646751"}, {"ref": "commentsm/generic-sklearn-binary-classification", "kernel_id": "49994247"}, {"ref": "dannyklinger/bank-churn-lgbm-my-first-ever-notebook", "kernel_id": "49844190"}, {"ref": "kavyas21itr052/bank-churn-xgboost", "kernel_id": "49439451"}, {"ref": "phindolin/churn-with-k-fold", "kernel_id": "49866503"}, {"ref": "kaibalyabiswal/binary-classification-bank-exited-probability", "kernel_id": "49168189"}, {"ref": "muhammadawaistayyab/bank-churn-xgboost", "kernel_id": "49726115"}, {"ref": "vanshikam28/datachurn", "kernel_id": "49575851"}, {"ref": "vanshikam28/bank-churn-dataset-classification-lightgbm", "kernel_id": "49575999"}, {"ref": "fatihkgg/churn-classification-xgboost-ann", "kernel_id": "49832981"}, {"ref": "rizwanahmedabbasi/bank-churn", "kernel_id": "49587623"}, {"ref": "aparajitasingh15/0-88672-pandas-profiling-optuna-lgbm-xgboost", "kernel_id": "49302357"}, {"ref": "aparajitasingh15/bank-churn-0-8858-score-pandas-profiling-xgboost", "kernel_id": "49255886"}, {"ref": "aparajitasingh15/0-88582-pandas-profiling-xgboost-cross-val", "kernel_id": "49283357"}, {"ref": "aparajitasingh15/bank-churn-0-8854-xgboost-adaboost-randomforest", "kernel_id": "49103326"}, {"ref": "tanejanikhil/binary-classification", "kernel_id": "49357258"}, {"ref": "islamic/customer-churn-competition", "kernel_id": "49250488"}, {"ref": "talhabarkaatahmad/ps4e1-bank-churn-xgboost", "kernel_id": "49355799"}, {"ref": "arryuannkhanna123/simple-solution-xgb-hyper-parameter-tuning", "kernel_id": "49472406"}, {"ref": "khushiagarwal2068/notebook3d6a012e0a", "kernel_id": "49588027"}, {"ref": "kkamal2003/binary-classification", "kernel_id": "49142142"}, {"ref": "armanzhalgasbayev/ps-s4-e1-tensorflow-bc-of-bank-churn", "kernel_id": "49535172"}, {"ref": "kagstick/bank-churn-classification", "kernel_id": "49855086"}, {"ref": "aayushi03puri/notebook780f10faa6", "kernel_id": "49572585"}, {"ref": "arshiyakishore/notebook-arshiya", "kernel_id": "49608902"}, {"ref": "kirruv/bank-churn-dataset-classification-lightgbm", "kernel_id": "49882349"}, {"ref": "marianoweimer/a-predictive-analysis-on-customer-churn", "kernel_id": "49054673"}, {"ref": "arjav007/ensembles", "kernel_id": "49193795"}, {"ref": "nitleenk/bank-churn-notebook", "kernel_id": "49710492"}, {"ref": "pulkitsanan/bank-churn", "kernel_id": "49586053"}, {"ref": "allan7yin/bankchurn", "kernel_id": "49999869"}, {"ref": "divakaivan12/nn-churn", "kernel_id": "49324765"}, {"ref": "divakaivan12/various-svm-models-for-bank-churn-classification", "kernel_id": "49295028"}, {"ref": "saswattulo/bank-churn-prediction-with-automl", "kernel_id": "49214656"}, {"ref": "ptiwri99/customer-chrun-bank", "kernel_id": "49516129"}, {"ref": "ptiwri99/customer-chrun-bank-using-randomforest", "kernel_id": "49876842"}, {"ref": "gamablobyt/bank-churn-classification", "kernel_id": "49588541"}, {"ref": "jhaaayush40/bank-churn-pred", "kernel_id": "49505025"}, {"ref": "hamzashakeel30/data-detective-s-tale-about-bank-churn", "kernel_id": "49889908"}, {"ref": "aryangupta30/bank-churn-88-5-accuracy", "kernel_id": "49456783"}, {"ref": "ogulcancck/bank-churn-classification-eda-model-deployment", "kernel_id": "49798732"}, {"ref": "a21cdr025/logistic-regression", "kernel_id": "49141188"}, {"ref": "melodykoh/bank-churn-prediction-eda-optuna", "kernel_id": "49973952"}, {"ref": "key0410/lightgbm-jp", "kernel_id": "49631827"}, {"ref": "kianajafari/churn-prediction", "kernel_id": "49639624"}, {"ref": "mikhailnaumov/bank-churn-classification-catboost", "kernel_id": "49627121"}, {"ref": "neelakshigupta/test1", "kernel_id": "49343586"}, {"ref": "akhilpm1996/bank-churn-classification-using-h2oautoml", "kernel_id": "49037492"}, {"ref": "philopateergeorgei/using-lightgbm-valid-0-s-auc-95", "kernel_id": "49791701"}, {"ref": "chiragsanadhya/bank-churn-with-randomforestclassifier", "kernel_id": "49934442"}, {"ref": "vinaykashyap52/binary-classification-xgboost-classification", "kernel_id": "49457938"}, {"ref": "praneykalra/binary-classification", "kernel_id": "49545806"}, {"ref": "tamalkoley/churn-dataset", "kernel_id": "49626987"}, {"ref": "arnavs19/bank-churn-binary-classification-torch-lgbm", "kernel_id": "49315621"}, {"ref": "kirtigupta25/regression", "kernel_id": "49746979"}, {"ref": "yatharthgautam123789/bank-churn-1", "kernel_id": "49589424"}, {"ref": "yatharthgautam123789/bank-churn-playgroundproblem-1", "kernel_id": "49593697"}, {"ref": "martinkolda/binary-classification-comparing-lgbm-xgbrf", "kernel_id": "49883863"}, {"ref": "jatinthakur706/bank-churn-prediction-using-various-techniques", "kernel_id": "49533199"}, {"ref": "lookitskhushboo/notebookca6a1e3a68", "kernel_id": "49588583"}, {"ref": "palak98039/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49517154"}, {"ref": "kushagrekaushik/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49517212"}, {"ref": "vanshgupta44/notebookfa9e061230", "kernel_id": "49677926"}, {"ref": "iyasha/notebook5b3c7ed1e9", "kernel_id": "49517361"}, {"ref": "raghavdargan/bankchurn-classification", "kernel_id": "49569224"}, {"ref": "ankit1743/bank-churn-gradient-boosting", "kernel_id": "49873960"}, {"ref": "krishuppal/binary-classification-for-bank-churn", "kernel_id": "49899593"}, {"ref": "kunal025/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49577830"}, {"ref": "ishank201202/bank-churn-ishank", "kernel_id": "49594277"}, {"ref": "akshit2605/notebook7a6dff8a08", "kernel_id": "49640120"}, {"ref": "shresthapundir/bank-churn", "kernel_id": "49478451"}, {"ref": "graceveraa/binary-classifaction-with-random-forest", "kernel_id": "49817655"}, {"ref": "cityuming/bank-churn-binary-classification-easy-to-read", "kernel_id": "49451088"}, {"ref": "pratyush801/bankchurnprediction", "kernel_id": "49326243"}, {"ref": "hassaneskikri/binary-classification-with-a-bank-churn-dataset-v1", "kernel_id": "49281651"}, {"ref": "hassaneskikri/binary-classification-with-a-bank-churn-dataset-v2", "kernel_id": "49782096"}, {"ref": "iamdal/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49260475"}, {"ref": "theusman/bank-churn-rate-kaggle-competition", "kernel_id": "49196706"}, {"ref": "piyush1234ggfuvi/bank-churn-lgbm-classifier", "kernel_id": "49593552"}, {"ref": "harshitrajpal2508/notebook4e461c53bf", "kernel_id": "49592157"}, {"ref": "yashpuri1912/bank-churn", "kernel_id": "49889757"}, {"ref": "shivamvermathapar/bank-churn-beginner-friendly-shivam-verma", "kernel_id": "49775300"}, {"ref": "jasmeet0516/bank-churn-prediction", "kernel_id": "49533191"}, {"ref": "pritishpriyam4/bank-churn-basic-s-notebook", "kernel_id": "49530716"}, {"ref": "kingkcabir/binary-classification-with-a-bank-churn-dataset-co", "kernel_id": "49052389"}, {"ref": "shwetakk/notebookd235b95251", "kernel_id": "49520788"}, {"ref": "ashish32700/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49678883"}, {"ref": "krishnanshu1/notebook150446f6c0", "kernel_id": "49572849"}, {"ref": "jindal05/bank-churn", "kernel_id": "49589030"}, {"ref": "garvitmadaan/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49542613"}, {"ref": "navjotkaur1312/binary-classification-with-bank-churn", "kernel_id": "49578718"}, {"ref": "ashmeet02/notebookc01f8a9b6c", "kernel_id": "49540996"}, {"ref": "sachinsushilsingh/notebook3d4e943448", "kernel_id": "49652599"}, {"ref": "himanshu230/notebookcc86c35725", "kernel_id": "49587014"}, {"ref": "wahajsayyed/binaryclassification-bankchurn-lgbm-gridsrch", "kernel_id": "49710226"}, {"ref": "nitishjolly/bank-churn", "kernel_id": "49821088"}, {"ref": "anthonytherrien/simple-customer-churn-rate-nn", "kernel_id": "49078305"}, {"ref": "anthonytherrien/advanced-model-residual-block-2x-ml", "kernel_id": "49386987"}, {"ref": "anthonytherrien/simple-voting-regressor-bank-churn", "kernel_id": "49666278"}, {"ref": "anthonytherrien/adaboost-grid-search-bank-churn", "kernel_id": "49742170"}, {"ref": "anthonytherrien/xgboost-grid-search-bank-churn", "kernel_id": "49748598"}, {"ref": "mayankgupta9/notebookbe73ad5f02", "kernel_id": "49591309"}, {"ref": "kanishhkaa/notebook", "kernel_id": "49527453"}, {"ref": "kanishhkaa/notebookf8813f70dc", "kernel_id": "49253986"}, {"ref": "rohan1489/binary-classification-easy", "kernel_id": "49885651"}, {"ref": "machiavellianthought/churning-with-keras", "kernel_id": "49336692"}, {"ref": "machiavellianthought/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49333352"}, {"ref": "badass2/bank-churn-random-forest-xgboost-and-lightbgm", "kernel_id": "49794000"}, {"ref": "badass2/bank-churn", "kernel_id": "49793359"}, {"ref": "badass2/bank-churn-dataset-classification-lightgbm", "kernel_id": "49785126"}, {"ref": "myash21/bank-churn-xgb", "kernel_id": "49887403"}, {"ref": "abdmental01/bank-churn-lightgbm-and-catboost-0-8945", "kernel_id": "49990111"}, {"ref": "thimuthu96/notebookc3a95e6681", "kernel_id": "49030551"}, {"ref": "dilssands/notebook33594d5a88", "kernel_id": "49030560"}, {"ref": "neeltambe/bank-churn-classification-eda-machine-learning", "kernel_id": "49417095"}, {"ref": "lashfire/0-8945-cool-feature", "kernel_id": "49062844"}, {"ref": "lashfire/10-lines-of-catboost", "kernel_id": "49599003"}, {"ref": "zeyadsayedadbullah/playgrounds4e01-bank-churn-eda-catboot-0-89331", "kernel_id": "49017934"}, {"ref": "rohanthakur336/bank-churn-binary-classification-first-playground", "kernel_id": "49582262"}, {"ref": "mfmfmf3/clean-code-bank-churn-dataset", "kernel_id": "49979533"}, {"ref": "moorekevin/bank-churn", "kernel_id": "49218750"}, {"ref": "muhammadhadi13/eda-lgbm-xgboost-catboost-accuracy", "kernel_id": "49771703"}, {"ref": "shadenabdulah1/shaden-playground-series-s4e1", "kernel_id": "49930055"}, {"ref": "najeebz/binary-classification-neural-network-gridsearchcv", "kernel_id": "49178816"}, {"ref": "najeebz/machine-learning-binary-classification-xgboost", "kernel_id": "49338687"}, {"ref": "najeebz/binary-classification-gradient-boost-ml-models", "kernel_id": "49997998"}, {"ref": "khushikhushikhushi/churn-prediction", "kernel_id": "49843859"}, {"ref": "dhayalanrajamohan/notebook-analysis-bank-churn-dataset-0-87515", "kernel_id": "49187904"}, {"ref": "muhammadhaseebabbasi/tickle-me-xgboost", "kernel_id": "49924572"}, {"ref": "aarushijain24/bank-churn-lgbm-classifier", "kernel_id": "49791970"}, {"ref": "aarushijain24/v0003", "kernel_id": "49779808"}, {"ref": "engrhurrirah/mystery-of-bank-churns-ensemble-family", "kernel_id": "49895565"}, {"ref": "jitpanoopolawath/binaryclassificationkaggle", "kernel_id": "49184030"}, {"ref": "ssumiii/playground-s4e1-240115-17", "kernel_id": "49432306"}, {"ref": "shaurya0311/churn-binary-classification", "kernel_id": "49746720"}, {"ref": "adityav32/bankchurn", "kernel_id": "49773608"}, {"ref": "ihsanbt/bank-churn-88-accuracy", "kernel_id": "49932580"}, {"ref": "omarabadr/binary-classification-with-a-bank-churn", "kernel_id": "49013323"}, {"ref": "yashsharma1216/prediction-using-various-models", "kernel_id": "49793850"}, {"ref": "debyulbae/bank-churn-fcn", "kernel_id": "49966266"}, {"ref": "muhumuzadeusai/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49265245"}, {"ref": "swasti19/notebooka94e131937", "kernel_id": "49593641"}, {"ref": "ahmetkoseoglu/ps4e01-bank-churn-prediction", "kernel_id": "49871185"}, {"ref": "bhavyagoyal867/bank-churn-classification-with-xgboost-and-eda", "kernel_id": "49797382"}, {"ref": "aryandogra/aryandogra-bankchurn", "kernel_id": "49587599"}, {"ref": "dolomone/simple-rf-model", "kernel_id": "49695005"}, {"ref": "tanishqdublish/binary-classification-with-bank-churn", "kernel_id": "49417285"}, {"ref": "devbansal2140/binary-classification-using-xgboost", "kernel_id": "49591723"}, {"ref": "sannidhyajain/bank-churn-prediction-random-forest", "kernel_id": "49729216"}, {"ref": "priyalsingla/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49443837"}, {"ref": "richika11/bank-churn", "kernel_id": "49585735"}, {"ref": "kartikye10/bank-churn-dataset-xgb-rf", "kernel_id": "49560669"}, {"ref": "scienceenthusiast/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49819310"}, {"ref": "mohammadbizhani/bank-churn-cat-lgb-mlp-voting-models-eda", "kernel_id": "49193426"}, {"ref": "anuragfx818/notebook-for-bank-churn-dataset", "kernel_id": "49739682"}, {"ref": "elaheesl/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49068185"}, {"ref": "avanishmeed/feature-selection-explained-rfecv", "kernel_id": "49158427"}, {"ref": "udaysharma007/bankchurnbinaryclassification", "kernel_id": "49589178"}, {"ref": "adam23r/bank-churn-classification-new-in-kaggle", "kernel_id": "49542720"}, {"ref": "wanana20/ps-s4e1-random-forest-88-2", "kernel_id": "49234154"}, {"ref": "sergeydeev/binary-classification-with-a-bank", "kernel_id": "49025488"}, {"ref": "yorkyong/churn-prediction-ensemble-learning-v2", "kernel_id": "49327706"}, {"ref": "ibragimovuzoqmurod/best-models-for-bank-churn", "kernel_id": "49156678"}, {"ref": "ridhii19/problem-1", "kernel_id": "49443325"}, {"ref": "abhiluvsingla/binary-classification-bank-churn-beginner-friendly", "kernel_id": "49525575"}, {"ref": "jayantdon/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49592142"}, {"ref": "avinashtokada25/binary-classification-with-lr-rf", "kernel_id": "49974039"}, {"ref": "khushiattri/bank-churn", "kernel_id": "49791718"}, {"ref": "abdullahkhanuet22/bank-churn-prediction-eda-accuracy-87-1", "kernel_id": "49165855"}, {"ref": "zhangmaomi/notebook3a093b2e3d", "kernel_id": "49355623"}, {"ref": "maehashitatsuya/no-idea-no-code", "kernel_id": "49919234"}, {"ref": "mirfayzirgashevdku/playground-series-bank-churn-s4-e1", "kernel_id": "49962072"}, {"ref": "farheenshaukat/bank-churn-prediction", "kernel_id": "49248544"}, {"ref": "harshitarya003/stuck-at-0-886", "kernel_id": "49980863"}, {"ref": "harshitarya003/xgb-bankchurn-simple-easy-to-understand-0-886", "kernel_id": "49210266"}, {"ref": "andy252/notebooka6d6c1f909", "kernel_id": "49947865"}, {"ref": "jigeonpark/playground-s4e1-240105", "kernel_id": "49432318"}, {"ref": "hhandaehee/playground-s4e1-240115", "kernel_id": "49432327"}, {"ref": "j2nhyeok/playground-s4e1-240115-17", "kernel_id": "49432329"}, {"ref": "insuny/playground-s4e1-240115-17", "kernel_id": "49432312"}, {"ref": "jianteow/playgrounds4e1-240115", "kernel_id": "49432314"}, {"ref": "guptapriya2609/prediction-using-logistic-regression", "kernel_id": "49092762"}, {"ref": "adrianasalcedo/xgb-rf-lr", "kernel_id": "49202684"}, {"ref": "adrianasalcedo/easy-nn-w-tf", "kernel_id": "49881804"}, {"ref": "desolationofsmaug/data-preprocessing-lightbgm-88", "kernel_id": "49132256"}, {"ref": "adityakbhatia/bank-churn-for-beginners-eda-xgb", "kernel_id": "49614792"}, {"ref": "khyatimunjal/bank-churn-playground", "kernel_id": "49587490"}, {"ref": "rijuljain2003/bankchurn-rijul", "kernel_id": "49571391"}, {"ref": "sakshamsikri8/notebookcc28113b63", "kernel_id": "49749668"}, {"ref": "aashimbansal/bankchurn-aashim", "kernel_id": "49577254"}, {"ref": "prachik2/bank-churn-prediction-simple-code-random-forest", "kernel_id": "49107918"}, {"ref": "rajneesh231/bank-churn-deep-learning-tf", "kernel_id": "49629651"}, {"ref": "rajneesh231/bank-churn-random-forest", "kernel_id": "49595047"}, {"ref": "eakanshagarwal24/bank-churn-classification", "kernel_id": "49588877"}, {"ref": "hrshpreet/my-first-notebook", "kernel_id": "49323138"}, {"ref": "samarjeetsinghgandhi/bank-churn-with-0-88-accuracy-randomsearchcv", "kernel_id": "49918978"}, {"ref": "samarjeetsinghgandhi/binary-classification-with-0-87-accuracy", "kernel_id": "49870658"}, {"ref": "samarjeetsinghgandhi/bank-churn-using-simple-logistic-regression", "kernel_id": "49967095"}, {"ref": "samarjeetsinghgandhi/0-88-xgboost-and-catboost-combined-in-bank-churn", "kernel_id": "49974323"}, {"ref": "samarjeetsinghgandhi/0-88635-easy-catboost-in-bank-churn", "kernel_id": "49975705"}, {"ref": "grandmastershaurya/notebook098924a5d8", "kernel_id": "49447044"}, {"ref": "anastasiyagurinovich/binary-classification-bank-churn", "kernel_id": "49427637"}, {"ref": "namishjindal4/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49568618"}, {"ref": "nishthakumari20/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49561407"}, {"ref": "sirishasingla1906/binary-classification-with-bank-churn", "kernel_id": "49571507"}, {"ref": "harshitstark/binary-classification-with-a-bank-churn-1-3", "kernel_id": "49761449"}, {"ref": "harshitstark/binary-classification-with-a-bank-churn-data", "kernel_id": "49756513"}, {"ref": "harshitstark/binary-classification-with-a-bank-churn-1-1", "kernel_id": "49536929"}, {"ref": "harshitstark/binary-classification-with-a-bank-churn-1-2", "kernel_id": "49585076"}, {"ref": "adhyanbaluja/bank-churn", "kernel_id": "49532490"}, {"ref": "priyanshu54200/bankchurn-ml-ps", "kernel_id": "49266247"}, {"ref": "dhruvsinghchauhan01/bank-churn", "kernel_id": "49590772"}, {"ref": "imran2501/classification-using-randomforestclassifier", "kernel_id": "49517382"}, {"ref": "paramvir705/bank-churn-classification-problem", "kernel_id": "49564195"}, {"ref": "ioancristianbratu/bank-churn-adaboost-with-decisiontreeclassifier", "kernel_id": "49314956"}, {"ref": "thaparrishav/bankchurndataset-catboostclassifier", "kernel_id": "49456938"}, {"ref": "shauryachichra5/binary-classification-with-bank-churn-dataset", "kernel_id": "49445741"}, {"ref": "aayushibareja/notebook", "kernel_id": "49637373"}, {"ref": "aayushibareja/notebook7bfb54260c", "kernel_id": "49785359"}, {"ref": "aayushibareja/notebook99aa430263", "kernel_id": "49795862"}, {"ref": "aayushibareja/notebook1ca9cb5645", "kernel_id": "49795894"}, {"ref": "quackinghorse/bank-churn-dataset-102103453", "kernel_id": "49478969"}, {"ref": "rahulgurwannn/notebookcc547665c2", "kernel_id": "49589640"}, {"ref": "ananyagupta184/notebooke50b5b014f", "kernel_id": "49536686"}, {"ref": "nrng19/best-solution", "kernel_id": "49587650"}, {"ref": "nrng19/notebook1dcbf18fef", "kernel_id": "49580258"}, {"ref": "aarushijuneja07/first-notebook", "kernel_id": "49563497"}, {"ref": "snoogy/train-with-lgb-v1-0-89337", "kernel_id": "49937529"}, {"ref": "kaurneetlove/notebook3e2825a337", "kernel_id": "49533194"}, {"ref": "siddhantjain03/notebookc0c78a2859", "kernel_id": "49592509"}, {"ref": "chaitanya2605/notebook228fe7958c", "kernel_id": "49586858"}, {"ref": "ishph102016098/binary-classification-bank-churn-df-eda-lgbm-xgb", "kernel_id": "49526918"}, {"ref": "surjiththakur/binary-classification-la-crime-predict-victim-sex", "kernel_id": "49534455"}, {"ref": "saanvi004/binary-classification", "kernel_id": "49570453"}, {"ref": "adityagoel2205/binary-classification-bank-churn", "kernel_id": "49578588"}, {"ref": "dubeyarpit/notebookf44163aa68", "kernel_id": "49584919"}, {"ref": "ridanshkaul/notebook460bb58c9d", "kernel_id": "49794904"}, {"ref": "ridanshkaul/codeno-2", "kernel_id": "49924000"}, {"ref": "ridanshkaul/notebookdc6a519397", "kernel_id": "49873623"}, {"ref": "parthvashish/notebook76f106bf8a", "kernel_id": "49591680"}, {"ref": "anipreetsingh/notebook8b96e1743b", "kernel_id": "49591231"}, {"ref": "sankalp102/notebookee357b343f", "kernel_id": "49591823"}, {"ref": "ambrustorok/binary-classification-with-a-bank-churn-dataset", "kernel_id": "49643512"}, {"ref": "devansharora7/bank-churn-d", "kernel_id": "49677924"}, {"ref": "bhavya4400/notebook8353e8aeed", "kernel_id": "49779450"}, {"ref": "karanchhabra2003/notebook90fd5fdb15", "kernel_id": "49922707"}, {"ref": "raghavendrarao/bankchurn-cb-hyperparameter-tuning", "kernel_id": "50804385"}, {"ref": "raghavendrarao/bankchurn-xgb-hyperparameter-tuning", "kernel_id": "50584823"}, {"ref": "mbilalshaikh/attempt-to-achieve-90", "kernel_id": "50245641"}, {"ref": "tyatsenk/xgboost-classifier-for-customer-churn-probability", "kernel_id": "50116550"}, {"ref": "brassmonkey381/starter-playground-bank-churn-classification", "kernel_id": "50085580"}, {"ref": "ryancaldwell/exited-rolling-mean", "kernel_id": "50083774"}, {"ref": "rsesha/pss4e1-featureviz-suloclassifier", "kernel_id": "50018480"}, {"ref": "dbreyfogle/simple-neural-net-w-tensorflow-scikit-learn", "kernel_id": "50238530"}, {"ref": "aspillai/bank-churn-neural-network", "kernel_id": "50095884"}, {"ref": "aspillai/11th-place-solution-single-model-cv-cat", "kernel_id": "50055731"}, {"ref": "aspillai/post-deadline-top-score-0-9055-late-sub", "kernel_id": "50436963"}, {"ref": "qwerty29544/visualization", "kernel_id": "50070156"}, {"ref": "soumya1984/will-customers-exit", "kernel_id": "50001081"}, {"ref": "ivanvaccari/s04e01-88-eda-catboost-optimized", "kernel_id": "50143194"}, {"ref": "memocan/churn-mastery-with-ai-llm-pycaret-in-action", "kernel_id": "50264257"}, {"ref": "gdataranger/bankchurn-catboostclassifier-or-bust", "kernel_id": "50276324"}, {"ref": "benthecoder/predict-bank-churn-eda-and-ensemble-learning", "kernel_id": "50043154"}, {"ref": "aayushsin7a/bank-churn-binary-classification", "kernel_id": "50151602"}, {"ref": "samlakhmani/0-899-baseline-unseenfeatures-catboost", "kernel_id": "50023361"}, {"ref": "naiku007/bank-churn-naive-model-jan24", "kernel_id": "50153147"}, {"ref": "bionicml/88-6-churn-randomforest-surname-frequency-count", "kernel_id": "50179217"}, {"ref": "ronfswanson/fork-of-notebook6924363b35", "kernel_id": "50146032"}, {"ref": "antoniobrych/multilayerperceptron-xgboost-churn-detector", "kernel_id": "50294737"}, {"ref": "aniruddhapa/binary-classification-of-bank-churn-data-set", "kernel_id": "50285041"}, {"ref": "abhijeetrao/beginner-binary-classification-bank-churn-data", "kernel_id": "50038757"}, {"ref": "marcogtt/playground-competition-s4e1", "kernel_id": "50312798"}, {"ref": "marcogtt/74-with-randomforest-need-help-to-improve", "kernel_id": "50207762"}, {"ref": "towhidultonmoy/active-learning-for-tackling-class-imbalance", "kernel_id": "50134375"}, {"ref": "towhidultonmoy/ensembling-submissions", "kernel_id": "50148423"}, {"ref": "nicholastannn/predicting-customer-churn-for-a-bank", "kernel_id": "50396770"}, {"ref": "anshsheravia/voting-classifier-bank-churn", "kernel_id": "50270410"}, {"ref": "bayusuarsa/binary-churn-prediction", "kernel_id": "50704431"}, {"ref": "carlosalvro/bankchurn-model-comparison", "kernel_id": "50241512"}, {"ref": "carlosalvro/bank-churn-analisys", "kernel_id": "50034801"}, {"ref": "haroon669/notebookd54002054c", "kernel_id": "50224169"}, {"ref": "abhinandansamal/bank-churn-prediction-lightgbm-classifier", "kernel_id": "50041079"}, {"ref": "abhinandansamal/bank-churn-prediction-xgboost-classifier", "kernel_id": "50016983"}, {"ref": "abhinandansamal/bank-churn-prediction-adaboost-classifier", "kernel_id": "50019055"}, {"ref": "abhinandansamal/bank-churn-ensemble-model", "kernel_id": "50095793"}, {"ref": "moyamoya/bankchurn-notebook-catboost", "kernel_id": "50259454"}, {"ref": "eryaww/ps4-e1-bank-churn-eda-2", "kernel_id": "50241594"}, {"ref": "ubaydulloasatullaev/bank-churn-binary-classification-autogluon", "kernel_id": "50249283"}, {"ref": "ubaydulloasatullaev/find-param-ensemble-optuna", "kernel_id": "50263309"}, {"ref": "aduolamide/bank-churn-classification-using-decision-trees", "kernel_id": "50409972"}, {"ref": "mohamedtahaouf/multi-class-prediction-of-obesity-risk-919", "kernel_id": "50319257"}, {"ref": "mohamedtahaouf/0-887-one-shot-cbc", "kernel_id": "50027907"}, {"ref": "jt4v4res/binary-classification-with-a-bank-churn-dataset", "kernel_id": "50320593"}, {"ref": "matthuan/churn-prediction-imbalanced-data", "kernel_id": "50579546"}, {"ref": "maverickss26/bank-churn-prediction", "kernel_id": "50158117"}, {"ref": "ezeyinwaprisca/bank-customer-churn", "kernel_id": "50814568"}, {"ref": "mahendra301/classification-with-a-bank-churn-dataset-practce", "kernel_id": "50645207"}, {"ref": "yuvannabawa/bankchurn", "kernel_id": "50012834"}, {"ref": "encode0/binary-classification-with-tensorflow", "kernel_id": "50078385"}, {"ref": "markusdarkus/best-tree-algorithm", "kernel_id": "50095910"}, {"ref": "markusdarkus/gradientboosting", "kernel_id": "50102897"}, {"ref": "markusdarkus/logistic-regression-0-72", "kernel_id": "50057229"}, {"ref": "datasuryansh/esemble-solution", "kernel_id": "50314315"}, {"ref": "raohamzatariq/steel-plate-defect-prediction", "kernel_id": "50192608"}, {"ref": "temiloluwapikuda/bank-customer-churn-prediction", "kernel_id": "50150798"}, {"ref": "naimishbhoi/using-hyperparameter-tuning-feature-selection", "kernel_id": "50142735"}, {"ref": "atri703/bank-churn-notebook-eda-vote-classifier", "kernel_id": "50288757"}, {"ref": "mannatpruthi/bank-churn-problem", "kernel_id": "50973945"}, {"ref": "minhyeok10/simple-basic-code-with-lgbmclassifier-0-75", "kernel_id": "50104862"}, {"ref": "uzairshafique/s4e1-eda-lightgbm-r", "kernel_id": "50075642"}, {"ref": "uzairshafique/ensemble-model-optuna-0-88733", "kernel_id": "50205677"}, {"ref": "uzairshafique/optuna-xgboost-0-89358", "kernel_id": "50276420"}, {"ref": "uzairshafique/optuna-catboost-0-89292", "kernel_id": "50280988"}, {"ref": "punamcheberwal/will-bank-user-exit", "kernel_id": "50152803"}, {"ref": "samvelkoch/s4e1-leaderboard-viz", "kernel_id": "50290228"}, {"ref": "samvelkoch/s4e1-ml-public-scores-ensembles-mlwave", "kernel_id": "50038352"}, {"ref": "adityamuhammadreza/deep-learning", "kernel_id": "50216097"}, {"ref": "joochaicoski/churn-prediction-eda-models", "kernel_id": "50035562"}, {"ref": "iqbalsyahakbar/ps4e1-3rd-place-solution", "kernel_id": "50293771"}, {"ref": "rupeshmahanty/bank-churn-prediction-using-smote", "kernel_id": "50036404"}, {"ref": "alfredkondoro/k-competition-playgrounds4e1", "kernel_id": "50050809"}, {"ref": "jeanclaudenguetta/binary-classification-churn", "kernel_id": "50159210"}, {"ref": "manvirkaur19/bank-churn-notebook", "kernel_id": "50501459"}, {"ref": "nishathmhd/churnpredictor", "kernel_id": "50223374"}, {"ref": "sajjadhajian/catboost-optuna-binary-classification-bank-churn", "kernel_id": "50712114"}, {"ref": "girishchowdary22/bank-churn-binary-classification-0-89656", "kernel_id": "50264565"}, {"ref": "shivanshuverma/bank-churn-classification-with-xgboost-and-eda", "kernel_id": "50031645"}, {"ref": "shivanshuverma/easy-beginner-friendly-80-accuracy", "kernel_id": "50028608"}, {"ref": "drshashikanthvydyula/bank-churn-eda-and-xgboost-with-r", "kernel_id": "50176622"}, {"ref": "carloscll/xgb-playground-s4e1-0-88", "kernel_id": "50042963"}, {"ref": "sanmatijain/bank-churn-data-classification-using-catboost", "kernel_id": "50259549"}, {"ref": "ardaorcun/xgbregressor-with-optuna", "kernel_id": "50019471"}, {"ref": "muhammadnaeem779/eda-churn-prediction-xgboostclassifier", "kernel_id": "50103115"}, {"ref": "abdelrahmanahmed110/bank-churn-binary-classification", "kernel_id": "50268550"}, {"ref": "mirkoferretti/first-notebook-churn", "kernel_id": "50039669"}, {"ref": "waleedejaz/xgboost-classification", "kernel_id": "50222405"}, {"ref": "sayedgamal99/bank-customer-churn-prediction-0-891-auc-score", "kernel_id": "50708167"}, {"ref": "anmolarora15/bank-churn-using-simple-neural-network", "kernel_id": "50162658"}, {"ref": "zgnzekibozkurt/eda-catboost-probability-prediction", "kernel_id": "50003540"}, {"ref": "vishnusaitejan/bank-churn-prediciton-using-catboost", "kernel_id": "50017341"}, {"ref": "rohitpatil30/binary-classification-with-a-bank-churn-solution", "kernel_id": "50213997"}, {"ref": "diphylleia/s4e1-sub1", "kernel_id": "50052517"}, {"ref": "golu20201singh/bank-churn-copm", "kernel_id": "50197903"}, {"ref": "natapelysynka/bank-churn-binary-classification-task", "kernel_id": "50256807"}, {"ref": "anmol111pal/bank-churn-classification", "kernel_id": "50153448"}, {"ref": "kartikaytandon/bankchurnn", "kernel_id": "50350863"}, {"ref": "ojaswanib/notebook1ojaswani", "kernel_id": "50910595"}, {"ref": "natalialimanska/14th-place-bank-features-eng-autogluon", "kernel_id": "50098670"}, {"ref": "suhawni/notebook376af7ede3", "kernel_id": "50993708"}, {"ref": "mahboobbiswas/bank-churn-prediction", "kernel_id": "50113926"}, {"ref": "skipperad/bank-churn-with-fastai", "kernel_id": "50016779"}, {"ref": "vishnumuralikrishnan/bank-churn-basic-notebook", "kernel_id": "50092045"}, {"ref": "sangammahajan01/bank-churn-analysis-with-catbooster", "kernel_id": "50281752"}, {"ref": "sangammahajan01/bank-churn-analysis-stacked-model", "kernel_id": "50280525"}, {"ref": "sangammahajan01/bank-churn-analysis-with-gradient-boost", "kernel_id": "50262870"}, {"ref": "aamalmaher/bank-churn", "kernel_id": "50654356"}, {"ref": "pawelkauf/89-playground-s4-e1-lgbm", "kernel_id": "50149024"}, {"ref": "vinodkumargurjar/binary-classification-with-a-bank-churn-dataset-vk", "kernel_id": "50204233"}, {"ref": "vcode1509/pycaret-auto-modelling-starter-lb-0-887", "kernel_id": "50062324"}, {"ref": "chirayurijal/binaryclassification-with-pytorch", "kernel_id": "50156959"}, {"ref": "anzhelinashevchuk/bank-churn-competition", "kernel_id": "50233073"}, {"ref": "ibrahimalobaid/data-pre-processing-eda", "kernel_id": "50112668"}, {"ref": "rabiaaliasrabia/notebook2bbabb70f4", "kernel_id": "50071763"}, {"ref": "abenagyasi/data-analysis-of-bank-churn", "kernel_id": "50659177"}, {"ref": "somya2115/85-accuracy-bank-churn", "kernel_id": "50099415"}, {"ref": "yousefshwaly/classification-bank-task", "kernel_id": "50791188"}, {"ref": "arkabarua173/bank-churn-xgboost-roc-89-shap", "kernel_id": "50493932"}, {"ref": "shashankray7/notebookdef0e3a9b1", "kernel_id": "50149862"}, {"ref": "valentinbelyaev/88-6-s4e1-lgmb-xgb-cb", "kernel_id": "50051675"}, {"ref": "muhammadawaistayyab/bank-churn-deep-learning", "kernel_id": "50049202"}, {"ref": "spookytomtom/ps4e1-bankchurn", "kernel_id": "50280792"}, {"ref": "kaushikkrsarma/bank-churn-prediction", "kernel_id": "50101243"}, {"ref": "atanumondal01/atanu-bank-churn", "kernel_id": "50634470"}, {"ref": "talhabarkaatahmad/ps4e1-bank-churn-ann-with-keras-tuner", "kernel_id": "50102725"}, {"ref": "drishtiagarwal20/binary-classification-with-a-bank-churn-dataset", "kernel_id": "50974113"}, {"ref": "muhammadhidayat99/bank-churn-prediction-by-hidayat", "kernel_id": "50111568"}, {"ref": "yazeedalsahouri03/binary-classification-with-a-bank-churn", "kernel_id": "50158259"}, {"ref": "khedasusnigdha/notebook0d8c2c25f6", "kernel_id": "50449541"}, {"ref": "khedasusnigdha/binaryclassification", "kernel_id": "50450285"}, {"ref": "vinee0/playgrounds04e01sub1", "kernel_id": "50118560"}, {"ref": "vinee0/playgrounds4e1sub2", "kernel_id": "50156631"}, {"ref": "adeelhamid/bank-churn-prediction-using-xgboost-with-encoding", "kernel_id": "50027393"}, {"ref": "sawandikirby/r-binary-classification-with-a-bank-churn", "kernel_id": "50115853"}, {"ref": "sawandikirby/r-xgboost-bank-churn-binary-classification", "kernel_id": "50176820"}, {"ref": "cheesegue/eda-obesity", "kernel_id": "50291709"}, {"ref": "shivanshgupta67/prediction-eda-ensemble-hgb-xgb-cb-lgbm", "kernel_id": "50301206"}, {"ref": "aryangupta30/bank-churn-lightgbm-0-89-accuracy", "kernel_id": "50143267"}, {"ref": "adisongoh/bank-churn-using-neural-nets-kerastuner", "kernel_id": "50249347"}, {"ref": "amirmohammadparvizi/binary-classification-with-a-bank-churn", "kernel_id": "50601019"}, {"ref": "mikhailnaumov/voting-model", "kernel_id": "50159689"}, {"ref": "manaswibpatil/bank-churn-binary-classification", "kernel_id": "50111519"}, {"ref": "mrsimple07/bankchurn-submission", "kernel_id": "50362682"}, {"ref": "ikjotsingh221/bankchurnbinclassification", "kernel_id": "50209438"}, {"ref": "yatharthgautam123789/bank-churn-prediction-2", "kernel_id": "50072127"}, {"ref": "jasleen234/notebook9a18423ca6", "kernel_id": "50954181"}, {"ref": "joyygoswami/binary-classification-with-a-bank-churn-dataset", "kernel_id": "50471953"}, {"ref": "ujjvalvashisht/binary-classification-with-a-bank-churn-dataset", "kernel_id": "50142070"}, {"ref": "shubhamkale23094/binary-classification-with-a-bank-churn-dataset-88", "kernel_id": "50229804"}, {"ref": "vineetmehar/bank-churn-classification", "kernel_id": "50687867"}, {"ref": "arpita712/bank-churn-classification", "kernel_id": "50057886"}, {"ref": "dghosh05/cat-boost-classifier-bankchurn", "kernel_id": "50016962"}, {"ref": "anthonytherrien/lightgbm-grid-search-bank-churn", "kernel_id": "50149126"}, {"ref": "dysfunctionalhuman/bank-churn-eda-binary-classification", "kernel_id": "50590600"}, {"ref": "chetalipushkarna/using-xgboost-classifier", "kernel_id": "50053623"}, {"ref": "badass2/binary-callsifiaction-eda-catboost", "kernel_id": "50031179"}, {"ref": "badass2/bankchurn", "kernel_id": "50031093"}, {"ref": "myash21/final-bank-churn-xgb", "kernel_id": "50065468"}, {"ref": "kirilldolbilov/ps4e1-lama-model", "kernel_id": "50252842"}, {"ref": "dibyashree16/using-xgboost-classifier", "kernel_id": "50068776"}, {"ref": "alekcandrr/catboost-0-89", "kernel_id": "50213718"}, {"ref": "mfmfmf3/find-param-ensemble-optuna", "kernel_id": "50210011"}, {"ref": "ecembayindir/binary-classification-bank-churn-90-49", "kernel_id": "50565948"}, {"ref": "farwa99/binary-classification-with-a-bank-churn-dataset", "kernel_id": "50077698"}, {"ref": "khushikhushikhushi/churn-pred-with-catboost", "kernel_id": "50048957"}, {"ref": "youken2739/playgrounds4e1-submit-notebook-in-japanese", "kernel_id": "50096703"}, {"ref": "liorazaltcman/max-roc-auc-0-8896-bank-churn-predictions", "kernel_id": "50213792"}, {"ref": "liorazaltcman/roc-auc-0-8896-stackingclassifier", "kernel_id": "50269921"}, {"ref": "sibtainali110/bank-churn-compeition", "kernel_id": "50115597"}, {"ref": "tayyabli/bank-churn-competition", "kernel_id": "50115356"}, {"ref": "nathanielm323/bank-customer-churn", "kernel_id": "50918460"}, {"ref": "sonhoangvu/ps4e1-bank-churn-ensemble-learning", "kernel_id": "50087874"}, {"ref": "sonhoangvu/fork-of-ps4e1-binary-classification-bank-churn-sta", "kernel_id": "50216491"}, {"ref": "muhammadfurqan0/bank-churn-prediction-with-xgb-and-lgbm", "kernel_id": "50040747"}, {"ref": "siukhan/feature-scaling-on-bank-churn-data", "kernel_id": "50180124"}, {"ref": "sanarpit/bank-churn-beginner-friendly-trying-various-models", "kernel_id": "50417761"}, {"ref": "xinyuanm/bank-churn-newbie-steps", "kernel_id": "50077721"}, {"ref": "chaozhuang/ps4e01-h2o-automl", "kernel_id": "50188853"}, {"ref": "chaozhuang/ps4e01-flaml", "kernel_id": "50107308"}, {"ref": "fabienpv/surname-classification", "kernel_id": "50042280"}, {"ref": "touficissa/bank-churn-dataset", "kernel_id": "50180275"}, {"ref": "aradhakkandhari/bank-churn-prediction", "kernel_id": "50858968"}, {"ref": "rajkumardubey10/bank-churn-using-ann", "kernel_id": "50007317"}, {"ref": "abdullahkhanuet22/bank-churn-dataset-eda", "kernel_id": "50075738"}, {"ref": "samsonoo/bank-churn-notebook-88", "kernel_id": "50274791"}, {"ref": "renhuang8/bank-churn-dataset-mlp", "kernel_id": "50142313"}, {"ref": "hirokisaitoreason/xgboost-model", "kernel_id": "50699058"}, {"ref": "amitankushwaghmare/predict-churn", "kernel_id": "50000102"}, {"ref": "nandankr07/binary-classification-with-a-bank-churn-dataset", "kernel_id": "50258905"}, {"ref": "taqijaved/bank-churn-with-xgboost", "kernel_id": "50223946"}, {"ref": "jayyanamandala/deep-learning-nn-parameter-search-bankchurn", "kernel_id": "50238261"}, {"ref": "sanjugag/bank-churn-dataset", "kernel_id": "50258643"}, {"ref": "ouaraskhelilrafik/binary-classification-with-a-bank-churn", "kernel_id": "50232207"}, {"ref": "waltervirany/pgs4e1-beginner-eda-simple-models", "kernel_id": "50123090"}, {"ref": "abhyudaya12/bank-churn-catboost-result-0-89626", "kernel_id": "50067368"}, {"ref": "adityakbhatia/bankchurn-automl-h2o", "kernel_id": "50254097"}, {"ref": "chinmayeegoyal/binaryclassification", "kernel_id": "50413606"}, {"ref": "samarjeetsinghgandhi/easy-catboost-bank-churn-88-9", "kernel_id": "50984221"}, {"ref": "santiago123678/randomforest-for-bank-exit", "kernel_id": "50082218"}, {"ref": "amiteshsharma667/binary-amitesh", "kernel_id": "50220865"}, {"ref": "tarndeepsingh16/binary-classification-with-a-bank-churn-dataset", "kernel_id": "50117221"}, {"ref": "bhavikasaini/bank-churn-smotetomek-and-randomforest", "kernel_id": "50078528"}, {"ref": "saranshthegoat/smj-s-bank-churn-classification", "kernel_id": "50565789"}, {"ref": "rohans21/random-forest-classifier", "kernel_id": "50364536"}, {"ref": "jsonali2003/bank-churn-prediction", "kernel_id": "50100202"}, {"ref": "saadkhudabux/binary-classification-with-bank-churn-dataset", "kernel_id": "50063712"}, {"ref": "ashiksrinivas32/88-acc-xgbclassifier", "kernel_id": "50135481"}, {"ref": "simarjeetsingh11/notebook424321016f", "kernel_id": "50781747"}, {"ref": "simarjeetsingh11/bank-churn-prediction-beginner-friendly-0-88926", "kernel_id": "50735202"}, {"ref": "kompalmalhotra/binary-classification-with-a-bank-churn-dataset", "kernel_id": "50829405"}, {"ref": "jankuper192/leningen", "kernel_id": "51708205"}, {"ref": "theyellowboots/pycaret-approach", "kernel_id": "51744332"}, {"ref": "arifbagde/binary-classification-with-a-bank-churn-data", "kernel_id": "51515466"}, {"ref": "shreyansh098/bankchurnprediction", "kernel_id": "51593811"}, {"ref": "karimabdelhalim/bank-churn-advanced", "kernel_id": "51906421"}, {"ref": "moatif/bank-churn-ann-binary-classification", "kernel_id": "51560866"}, {"ref": "syedjaffri/notebookf6610d8a32", "kernel_id": "51403595"}, {"ref": "amitvkulkarni/probability-calibration", "kernel_id": "51453889"}, {"ref": "amitvkulkarni/lime-for-explainability-in-python", "kernel_id": "51413909"}, {"ref": "munabhusal/eda-of-bank-churn-dataset-with-training-testing", "kernel_id": "51806979"}, {"ref": "henriquerezermosqur/binary-classification-with-a-bank-churn", "kernel_id": "51654747"}, {"ref": "purusachdeva/bank-churn-dataset-problem", "kernel_id": "51509767"}, {"ref": "salmayassin/binary-classification-with-a-bank-churn-dataset", "kernel_id": "51759004"}, {"ref": "jpkochar/eda-bank-churn", "kernel_id": "51642344"}, {"ref": "jpkochar/bank-churn-model", "kernel_id": "51714694"}, {"ref": "shadymohammed7/bank-churn-analysis-modelling", "kernel_id": "51758832"}, {"ref": "ziadabdelrahman/notebook6ad9750a4a", "kernel_id": "51759320"}, {"ref": "mdniazulislamroky/bank-churn-prediction-for-beginners", "kernel_id": "51474781"}, {"ref": "burakksz/binary-classsification-with-automl", "kernel_id": "51599812"}, {"ref": "aadityavardhan/bankchurnensembleprediction", "kernel_id": "51523088"}, {"ref": "hbdsjk/easy-catboost-bank-churn-88", "kernel_id": "51081111"}, {"ref": "manvendrarajsingh/submission1", "kernel_id": "51085263"}, {"ref": "ashnaarora/binary-classification-with-bank-churn-dataset", "kernel_id": "51013844"}, {"ref": "rishitaverma02/binary-classification-with-a-bank-churn-dataset", "kernel_id": "51456276"}, {"ref": "jasrehmatkaur/ramen-bankchurn-2", "kernel_id": "51151616"}, {"ref": "anushkfarkiya24/main-submission01", "kernel_id": "51501949"}, {"ref": "dheerov/bankchurn-sub", "kernel_id": "51022797"}, {"ref": "rhythm004/bank-churn-xgboost", "kernel_id": "51158263"}, {"ref": "emirhancan/churn-data-analysis-xgboost-model", "kernel_id": "51843558"}, {"ref": "youssifshaabanqzamel/bank-churn-classification-89-180-auc", "kernel_id": "51922676"}, {"ref": "harbandanakaur/bank-churn-competition", "kernel_id": "51436169"}, {"ref": "japjotsingh699/bank-churn-data", "kernel_id": "51894455"}, {"ref": "muhamadfaheem88/bank-churn-analysis-competition", "kernel_id": "51026151"}, {"ref": "shivanshtuteja/0-88-binary-classification-bank-churn-dataset", "kernel_id": "51463494"}, {"ref": "dhruvgarg1010/notebook41ad2d35b6", "kernel_id": "51080833"}, {"ref": "weixuanwu2323223/scores-0-9500889152341434", "kernel_id": "51569109"}, {"ref": "hocuspocus01/notebook68d703e952", "kernel_id": "51563521"}, {"ref": "ashnaarora251/binary-classification-with-bankchurn-dataset", "kernel_id": "51014467"}, {"ref": "hrshbachan3/randomforestclassifier-over-bank-churn-dataset", "kernel_id": "51228227"}, {"ref": "orpheuswalker/binary-classification-bank-churn", "kernel_id": "51929046"}, {"ref": "raghavendrarao/bankchurn-hgb-hyperparameter-tuning", "kernel_id": "52211792"}, {"ref": "thedatageek/bank-churn-with-eda-and-catboost", "kernel_id": "52493318"}, {"ref": "thedatageek/bank-churn-classfication-eda-analysis", "kernel_id": "52028119"}, {"ref": "jayrdixit/bank-churn-competition", "kernel_id": "52705670"}, {"ref": "mdonnye/bank-churn-clf-ann", "kernel_id": "52676565"}, {"ref": "hajimins/assignment1-big-data-minura-hajisoy-tofig-aliyev", "kernel_id": "52422012"}, {"ref": "youssefyasserali/bank-churn-xgboost-catboost-0-8915-auc", "kernel_id": "52879451"}, {"ref": "priyanshukadam/gradient-boosting", "kernel_id": "52763949"}, {"ref": "lephuankhang/challenge-bankchurn", "kernel_id": "52929572"}, {"ref": "aryankalia17/bank-churn-notebook", "kernel_id": "52236167"}, {"ref": "sardorwwe/b-n-classification-with-a-bank-churn-dataset", "kernel_id": "52406108"}, {"ref": "japleenkaurbedi/notebookcba82b769e", "kernel_id": "52443024"}, {"ref": "nghiathe/24a4042602-nguyenthenghia", "kernel_id": "52793233"}, {"ref": "agarwalyashhh/bank-churn-xgboost-stacking-eda", "kernel_id": "52309826"}, {"ref": "uta77400/binary-classification-bank-churn", "kernel_id": "52571212"}, {"ref": "hanyjr/bank-churn-classification-with-88-5-accuracy", "kernel_id": "52198114"}, {"ref": "hanyjr/bank-churn-eda", "kernel_id": "52063823"}, {"ref": "nguyenduccong301020/notebookbc124f0c63", "kernel_id": "52932200"}, {"ref": "dotienoanh/buoi5-dotienoanh", "kernel_id": "52835358"}, {"ref": "ngvnminh/ngo-van-minh-0-86", "kernel_id": "52856563"}, {"ref": "haimynguyen/hai-my", "kernel_id": "52638329"}, {"ref": "anonminhkhnh/bank-churn-challenge", "kernel_id": "52911911"}, {"ref": "nghtamm2003/homework-w5", "kernel_id": "52840135"}, {"ref": "annguyen28/01-nguy-n-ng-c-an", "kernel_id": "52726336"}, {"ref": "vdiuthy/bank-churn-classification", "kernel_id": "52865643"}, {"ref": "dinhthanhnam/24a4042599-dinh-thanh-nam-27", "kernel_id": "52926479"}, {"ref": "terisimp/khang-testnotebook", "kernel_id": "52832817"}, {"ref": "hungtulenh/notebook2080d6d492", "kernel_id": "52928042"}, {"ref": "haiyen03/64-ho-ng-h-i-y-n-0-7368", "kernel_id": "52725985"}, {"ref": "aarishasifkhan/bank-churn-binary-classification-ml-dl", "kernel_id": "52245951"}, {"ref": "chahat03/bank-churn-p1", "kernel_id": "52308208"}, {"ref": "ronaldkelly/cp3403-project-v2024a-ronaldkelly", "kernel_id": "52583149"}, {"ref": "trangthaong/notebook-1", "kernel_id": "52729320"}, {"ref": "nguyenthanhhoa/21-nguyen-thanh-hoa", "kernel_id": "52772297"}, {"ref": "hatrongcuong03/bank-churn-notebook", "kernel_id": "52820504"}, {"ref": "phcnguynhuy/notebookcf0b8777d5", "kernel_id": "52852409"}, {"ref": "phmvnt1/24a4041691-pham-van-tu", "kernel_id": "52859485"}, {"ref": "kieuchang/h-ki-u-trang", "kernel_id": "52856222"}, {"ref": "phunght03/subm-for-bank-churn-classification", "kernel_id": "52801651"}, {"ref": "phmthtuyn/60-pttu", "kernel_id": "52803023"}, {"ref": "phmnguynngcmai/32-phamnguyenngocmai-btvnb5", "kernel_id": "52930099"}, {"ref": "hoangtrungvan/notebook01da4e568b", "kernel_id": "52801457"}, {"ref": "hoangtrungvan/notebook0fdf03c5c1", "kernel_id": "52801916"}, {"ref": "dungquentenhuy/huyvu", "kernel_id": "52795916"}, {"ref": "nhtrnhthlan/06-tr-nh-th-lan-nh", "kernel_id": "52651719"}, {"ref": "phanthiphuonganh/anhanhanh", "kernel_id": "52657653"}, {"ref": "mahmoudibraahim/bank-churn-prediction-acc-90-527", "kernel_id": "52447738"}, {"ref": "shin7965977/lightgbm-beginner-friendly", "kernel_id": "53403131"}, {"ref": "pedrodematos/a-detailed-guide-to-churn-prediction", "kernel_id": "53416642"}, {"ref": "umairinayat/bank-churn-binary-classification-xgboost", "kernel_id": "53573486"}, {"ref": "jbyeon/bank-churn-v0-01", "kernel_id": "53391954"}, {"ref": "piyushborhade/binary-classification-with-a-bank-churn-dataset", "kernel_id": "53127539"}, {"ref": "isazeynalov/binary-classification-with-a-bank-churn-dataset", "kernel_id": "53871140"}, {"ref": "karthiprasad04/churn-detection", "kernel_id": "53349757"}, {"ref": "vivekmotwani1410/bank-churn-ps-s4e1", "kernel_id": "53093096"}, {"ref": "x120133451/submission", "kernel_id": "53454428"}, {"ref": "ericawilliams/binary-classification-bank-churn", "kernel_id": "53884719"}, {"ref": "sametmohamedhedi/bank-churn-prediction-for-beginners", "kernel_id": "53202214"}, {"ref": "rishishah2003/binary-classification-with-a-bank-churn-dataset", "kernel_id": "53379667"}, {"ref": "yaramamdouh/bank-churn-binary-classification", "kernel_id": "53106936"}, {"ref": "rahaffayez/bank-churn-binary-classification", "kernel_id": "53097707"}, {"ref": "sinhvu/bankchurnprediction-sinhvt", "kernel_id": "53326011"}, {"ref": "sinhvu/notebook2080d6d492", "kernel_id": "53369388"}, {"ref": "trgthuhg/bankchurnprediction-appbuoi-7", "kernel_id": "53326328"}, {"ref": "derricksteven/bank-churn", "kernel_id": "53270473"}, {"ref": "lnzbati/predicting-churn-with-keras-neural-network", "kernel_id": "53522127"}, {"ref": "yi1101/lightgbm-beginner-friendly", "kernel_id": "53250375"}, {"ref": "yi1101/notebookad603cb9be", "kernel_id": "53402679"}, {"ref": "learner1205/binary-classification", "kernel_id": "53329324"}, {"ref": "pro1111/notebook688f27699c", "kernel_id": "53451579"}, {"ref": "cdr0101/bank-churn-binary-classification-0-88764", "kernel_id": "53900097"}, {"ref": "mahmoudsaadmohamed/customer-churn-triad-ensemble-classifier-0-88603", "kernel_id": "54979485"}, {"ref": "felipemarlon/binary-classification-with-xboost", "kernel_id": "54800425"}, {"ref": "yashasgarg/bank-churn-dataset", "kernel_id": "54048732"}, {"ref": "alkidiarete/binary-fastai-random-forest", "kernel_id": "54765650"}, {"ref": "amanaayush/bank-churn", "kernel_id": "54304298"}, {"ref": "sakshamsikri8/bank-churn-lgbm-classifier-saksham", "kernel_id": "54264466"}, {"ref": "yatinkundra666/bank-churn-classification", "kernel_id": "54397160"}, {"ref": "jeeteshrajpal2/binary-classification-with-a-bank-churn-dataset", "kernel_id": "54227860"}, {"ref": "cheshta09/bank-churn-prediction", "kernel_id": "54196634"}, {"ref": "chiragchiku25/bank-churn-prediction", "kernel_id": "54194824"}, {"ref": "tanishas2024/bank-churn", "kernel_id": "54006863"}, {"ref": "tienweihsu/binary-classification-churn-dataset-tfdf", "kernel_id": "54077644"}, {"ref": "arsteni/bank-churn-using-xgboost-and-catboost", "kernel_id": "54234090"}, {"ref": "arsteni/bankchurn-submission", "kernel_id": "54234439"}, {"ref": "loneranger4u/chrun-analysis", "kernel_id": "55047832"}, {"ref": "alimsd77/bank-churn-dataset", "kernel_id": "55821814"}, {"ref": "poiyut/customer-churn-classification", "kernel_id": "55145883"}, {"ref": "dimitriskatos/ann-bank-churm", "kernel_id": "55796757"}, {"ref": "zaidali11/binary-classification-eda-feat-eng", "kernel_id": "55941462"}, {"ref": "dazomatic/bank-churn", "kernel_id": "55715596"}, {"ref": "thomas1999h/bank-churn-thomas", "kernel_id": "55362274"}, {"ref": "juliadeswartdcg/juliabank", "kernel_id": "55548885"}, {"ref": "sebastinazamaravils/binary-classification", "kernel_id": "55788890"}, {"ref": "jankuper192/survival-analysis-in-r", "kernel_id": "56317524"}, {"ref": "jankuper192/survival-analysis-in-r-first-draft", "kernel_id": "56269231"}, {"ref": "fernandocarrera/bank-churn-xgboost", "kernel_id": "56547775"}, {"ref": "abdelrahmanelfeky987/bank-churn-classification", "kernel_id": "56853616"}, {"ref": "atheermohamedzh/bank-churn-classification-using-xgbclassifier", "kernel_id": "56258387"}, {"ref": "amittallevi/finalproject-2024", "kernel_id": "56811371"}, {"ref": "aravindpcoder/bank-churn-classification", "kernel_id": "56082336"}, {"ref": "avinashrane/binary-classification-2", "kernel_id": "56139910"}, {"ref": "avinashrane/binary-1", "kernel_id": "56399313"}, {"ref": "omarfahmyelsharabasy/bank-churn-prediction-score-0-88794", "kernel_id": "56922110"}, {"ref": "cheshtbiala/bank-churn", "kernel_id": "56894856"}, {"ref": "cardata/bank-customer-churn-prediction-01", "kernel_id": "56976177"}, {"ref": "cardata/bank-customer-churn-prediction", "kernel_id": "56934323"}, {"ref": "cardata/bank-churn-prediction-01", "kernel_id": "56917593"}, {"ref": "vktsyp/catboost-kfold-oof-bank-churn-dataset", "kernel_id": "56239583"}, {"ref": "jankuper192/su-r-vival-analyse", "kernel_id": "57711206"}, {"ref": "jankuper192/su-r-vival-analysis", "kernel_id": "57711811"}, {"ref": "gremlin97/churnprediction-gbt-pyspark-mllib-0-85983", "kernel_id": "57540790"}, {"ref": "litvinenko630/bank-churn-binary-classification", "kernel_id": "57797013"}, {"ref": "parkhip/bank-chunk-prediction", "kernel_id": "57341187"}, {"ref": "avinashrane/fork-of-binary-classification-2", "kernel_id": "57415527"}, {"ref": "islamashraaf/customer-churn-prediction", "kernel_id": "57075005"}, {"ref": "thhehehe/b-i-t-p-v-nh-16-5", "kernel_id": "57672471"}, {"ref": "huongvngn/btvn5", "kernel_id": "57763774"}, {"ref": "venky9991/bank-churn-eda", "kernel_id": "57836302"}, {"ref": "nguynvnquyn/b-i-m-i-nh-t", "kernel_id": "57767379"}, {"ref": "nguynvnquyn/b-i-t-p", "kernel_id": "57743216"}, {"ref": "tranthisaomai/notebookdef26ec616", "kernel_id": "57764605"}, {"ref": "ngoduchhhh/btvn-b5", "kernel_id": "57333885"}, {"ref": "ngoduchhhh/binary-classification", "kernel_id": "57647537"}, {"ref": "phmthkhuyn/notebook5f95168188", "kernel_id": "57727691"}, {"ref": "ngngcnh/btvn-b5", "kernel_id": "57790257"}, {"ref": "jamessuryaputra/break-the-bank", "kernel_id": "57391818"}, {"ref": "eddyliu6969/r-newbie-bank-churn-eda", "kernel_id": "57435629"}, {"ref": "vsuleymanov/bank-churn-regression-spbu", "kernel_id": "57166036"}, {"ref": "lmd232/bankchurn-b6", "kernel_id": "57770712"}, {"ref": "miyukizumy/notebook", "kernel_id": "57683929"}, {"ref": "thihong28103/btvn-16-5", "kernel_id": "57648261"}, {"ref": "nguyenhuyenhsakura/btvn-b5", "kernel_id": "57761317"}, {"ref": "nguynhuynmy/btvn-bu-i-5-6-ai", "kernel_id": "57761332"}, {"ref": "minhchauvu23/notebook1340a66ea7", "kernel_id": "57761496"}, {"ref": "huyenhsakura/notebookd1da6ba0e2", "kernel_id": "57762537"}, {"ref": "lequanghai/playground-s04e01-logisticreg-vs-xgboost", "kernel_id": "58271574"}, {"ref": "sukritsingh/bank-churn-prediction-eda-ml", "kernel_id": "58556036"}, {"ref": "idrissjairi/bank-churn-prediction-lr-dt-and-rf", "kernel_id": "58906928"}, {"ref": "abdullatifkaban/binary-classification-with-a-bank-churn-dataset", "kernel_id": "58195168"}, {"ref": "berkayozturkx/bank-customer-churn-predict-public-0-88593", "kernel_id": "58833432"}, {"ref": "sahilbanjare21/sahil-late", "kernel_id": "58061494"}, {"ref": "divyanshu2000/bank-churn-binary-classification-ml-pytorch", "kernel_id": "58646551"}, {"ref": "cesarporto1975/notebookbb2e8654a2", "kernel_id": "59645430"}, {"ref": "commentsm/academic-multi-classification-sk", "kernel_id": "59393079"}, {"ref": "khaydaraliev97/binary-classification-with-a-bank-churn-dataset", "kernel_id": "59741320"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset-1", "kernel_id": "59413793"}, {"ref": "sivalika/bank-churn-pred", "kernel_id": "59430259"}, {"ref": "drmurataltun/c6-binary-classification-with-a-bank-churn-dataset", "kernel_id": "60583461"}, {"ref": "hikmetdevlet/6-binary-classification-with-a-bank-churn-dataset", "kernel_id": "60792212"}, {"ref": "maheshsunuwar/decision-tree-classification", "kernel_id": "60651858"}, {"ref": "youssefyasserali/heart-disease-prediction", "kernel_id": "60531110"}, {"ref": "tacticularcancer/bank-churn-prediction", "kernel_id": "60262982"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset2-2", "kernel_id": "60315635"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset2-4", "kernel_id": "60505136"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset2-3", "kernel_id": "60461785"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset2-1", "kernel_id": "60179800"}, {"ref": "keirenchow/binary-classification-with-a-bank-churn-dataset-ck", "kernel_id": "60949424"}, {"ref": "madhanb07/bank-churn-binary-classification", "kernel_id": "60641815"}, {"ref": "maheshsunuwar/random-forest-classification", "kernel_id": "61163769"}, {"ref": "muhammadmagistra/binary-classification-bank-churn", "kernel_id": "61880805"}, {"ref": "haokangzhang/rf-xgb-lgb", "kernel_id": "61703261"}, {"ref": "ayahassan5/binary-classification-with-a-bank-churn-dataset", "kernel_id": "61318271"}, {"ref": "sojibbhattacharjee/bank-churn-dataset", "kernel_id": "61478792"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset5", "kernel_id": "61759214"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset3", "kernel_id": "61023279"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset4", "kernel_id": "61334815"}, {"ref": "sinha05/binary-classification-with-a-bank-churn-dataset", "kernel_id": "61191287"}, {"ref": "mubashirbhutta/bank-churn-classification-with-xgb-classifier", "kernel_id": "61219389"}, {"ref": "asferzafar/bank-churn-prediction-90-acc", "kernel_id": "61663607"}, {"ref": "ugurokarapunar/bank-churn-compt", "kernel_id": "61308602"}, {"ref": "utkarshgaikwad1994/bank-churn", "kernel_id": "62125793"}, {"ref": "syednazmussakib/bankchurn-rf-xgboost-catboost-lgbm-ell", "kernel_id": "62228080"}, {"ref": "mohaksingh57/ai-summer-lab-eval-102103144", "kernel_id": "62340114"}, {"ref": "abdullahmazari/binary-classification-on-bank-churn-dataset", "kernel_id": "62354710"}, {"ref": "yahyavaleo/bank-churn", "kernel_id": "62158924"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset6-2", "kernel_id": "62345337"}, {"ref": "brenshlytcher/binary-classification-with-a-bank-churn-dataset6-1", "kernel_id": "62261491"}, {"ref": "liranpodol/bank-churn-gbc-and-nn", "kernel_id": "62398638"}, {"ref": "apostolidisapostolos/bank-churn-prediction-with-glm-in-r", "kernel_id": "63088762"}, {"ref": "amazingfacts234/binary-classification-with-bank-churn-data", "kernel_id": "63409222"}, {"ref": "hasnainkhan0123/back-churn-prediction", "kernel_id": "63576027"}, {"ref": "hmcjpg/bank-churn-v1", "kernel_id": "63048501"}, {"ref": "datadoggo/regression-modelling", "kernel_id": "64153513"}, {"ref": "htonmoy19/bank-churn-class-prediction", "kernel_id": "64420770"}, {"ref": "hanahbs/churn-bank", "kernel_id": "64818828"}, {"ref": "yuriipolulikh/binary-classification-with-a-bank-churn", "kernel_id": "64567794"}, {"ref": "chenxi2003/notebook05063a08d2", "kernel_id": "64341708"}, {"ref": "muhammadrameez242/eda-of-the-bank-customer-churn-dataset", "kernel_id": "64305107"}, {"ref": "sadmanhasib/customer-charn-prediction-0-886-score", "kernel_id": "64153461"}, {"ref": "kasund98/bank-churn", "kernel_id": "64859527"}, {"ref": "hscosta/lgbmclassifier", "kernel_id": "65191927"}, {"ref": "muhammadmagistra/bank-churn-85-acc", "kernel_id": "65066878"}, {"ref": "mgaibisso/binary-classification-bank-churn", "kernel_id": "65218239"}, {"ref": "metinhsimimi/bank-churn-random-forest-and-simple-eda", "kernel_id": "65977666"}, {"ref": "alabkarimaths/bank-churn-late-submission", "kernel_id": "65085507"}, {"ref": "anaclaracoelho/binary-classification", "kernel_id": "65191930"}, {"ref": "darshandungrani/predicting-bank-churn-with-lightgbm", "kernel_id": "65262121"}, {"ref": "alizain2/bank-churn-85-acc", "kernel_id": "65430656"}, {"ref": "surajwate/s4e1-lightgbm-bank-churn", "kernel_id": "66027313"}, {"ref": "maheshsunuwar/gradient-boosting-classification", "kernel_id": "66602727"}, {"ref": "shreyasur965/bank-churn-prediction-classification-lgbm", "kernel_id": "66509883"}, {"ref": "shreyasur965/bank-churn-prediction-regression-gradient-boost", "kernel_id": "66510575"}, {"ref": "dingggggg/eda-ml-bank-churn-competition-0-86", "kernel_id": "66191358"}, {"ref": "elizabethmaciasphd/bank-churn-binary-classification", "kernel_id": "66631126"}, {"ref": "astelthottankara/bank-customer-churn-logistic-regression", "kernel_id": "67879361"}, {"ref": "liujiayyu/bank-churn", "kernel_id": "67033566"}, {"ref": "arnavgawandi/churn-nb", "kernel_id": "67269589"}, {"ref": "timofeybakurov/ml2-hw1-bakurov-final", "kernel_id": "68204644"}, {"ref": "sulaniishara/ps4-e1-bank-churn-eda-optuna-catboost", "kernel_id": "68017425"}, {"ref": "monarhovich/notebook-binary-classification-with-a-bank-churn", "kernel_id": "68076886"}, {"ref": "stpeteishii/ps-s4e1-ensemble-w-pkl-stackingregressor", "kernel_id": "69494907"}, {"ref": "spaceman1488/binary-classification-with-a-bank-churn", "kernel_id": "69115696"}, {"ref": "manuelasaez/churn-propensity-model-steps", "kernel_id": "69781157"}, {"ref": "bheatrizcordeiro/binary-classification-with-a-bank-churn-dataset-1", "kernel_id": "71770963"}, {"ref": "stathj/ps4e1-bank-churn-for-starters", "kernel_id": "72162474"}, {"ref": "petrolbloo/engineered-data-autogluon-catboost-late-sub", "kernel_id": "72356255"}, {"ref": "yoondonghan/post-deadline-top-score-0-9055-late-sub", "kernel_id": "72154813"}, {"ref": "yoondonghan/seriola-quinqueradiata-3rd-ver2024", "kernel_id": "72233871"}, {"ref": "kirahhayatdata/bank-churn-prediction-with-ann", "kernel_id": "72161111"}, {"ref": "anaclaracoelho/notebook4bf5cc3cbe", "kernel_id": "72507172"}, {"ref": "wonny28/bank-churn-lightgbm-and-catboost-0-8945", "kernel_id": "72221508"}, {"ref": "m1appmathx/stay-or-stray-baseline", "kernel_id": "72873218"}, {"ref": "m1appmathx/stayorstray-baseline-ipynb", "kernel_id": "72872988"}, {"ref": "jaysurender/bank-churn-pad-scikit", "kernel_id": "73703911"}, {"ref": "mazenalasas/bank-churn-binary-classification", "kernel_id": "74228998"}, {"ref": "anshumandebashis/bank-churn-classification", "kernel_id": "75110221"}, {"ref": "faizanyousafonly/bank-churn-prediction-xgboost-85-6", "kernel_id": "75743831"}, {"ref": "faizanyousafonly/customer-churn-secrets-an-eda-journey", "kernel_id": "75558409"}, {"ref": "onnoboru/bank-churn-baseline", "kernel_id": "75463766"}, {"ref": "lime1123/bank-churn-lgbm", "kernel_id": "75494641"}, {"ref": "lime1123/bank-churn-catboost", "kernel_id": "75607465"}, {"ref": "lime1123/bank-churn-ensemble-lgbm", "kernel_id": "75807411"}, {"ref": "yousufshah/deep-dive-into-customer-churn", "kernel_id": "75070187"}, {"ref": "sudeepsgmanegar/binary-classification-with-a-bank-churn-dataset", "kernel_id": "75064721"}, {"ref": "ldausl/engineered-data-autogluon-catboost-late-sub", "kernel_id": "75562161"}, {"ref": "ldausl/post-deadline-top-score-0-9055-late-sub", "kernel_id": "75598522"}, {"ref": "ldausl/notebookf76d1898ec", "kernel_id": "75598417"}, {"ref": "ldausl/bank-churn-prediction-beginner-friendly-0-88926", "kernel_id": "75603836"}, {"ref": "ldausl/seriola-quinqueradiata-3rd-ver2024", "kernel_id": "75595303"}, {"ref": "ldausl/bank-churn-catboost-0-89626", "kernel_id": "75617853"}, {"ref": "ldausl/notebook-churn-competition", "kernel_id": "75614313"}, {"ref": "ldausl/ps4e1-eda-feature-engineering-modelling", "kernel_id": "75616437"}, {"ref": "ldausl/binary-classification-bank-churn-eda", "kernel_id": "75616498"}, {"ref": "swas06/bankchurnmodelxgboost", "kernel_id": "76393437"}, {"ref": "senasudemir/binary-classifaction-with-a-bank-churn", "kernel_id": "76614701"}, {"ref": "nguyenquangthinhus/notebooke7ed3d9693", "kernel_id": "78546381"}, {"ref": "only4u77787/bank-chunk-prediction-xgb-80-accuracy", "kernel_id": "78288698"}, {"ref": "only4u77787/bank-churn-dl-notebook", "kernel_id": "78507514"}, {"ref": "guoyuye/notebookbed25f8c25", "kernel_id": "79470574"}, {"ref": "dinislamgaraev/bank-churn-binary-classification-lightgbm", "kernel_id": "80539327"}, {"ref": "latistusk/sachcode", "kernel_id": "80522464"}, {"ref": "ugurcan95/bank-churn-binary-classification", "kernel_id": "80782042"}, {"ref": "christina0626/catboost-with-esamble", "kernel_id": "81234364"}, {"ref": "jaydevmurari9218/bank-churn-classification", "kernel_id": "81837809"}, {"ref": "kenyang1359/bank-churn-dataset-eda", "kernel_id": "81240403"}, {"ref": "vinayplusj/predicting-customer-churn-for-bank", "kernel_id": "84295238"}, {"ref": "binaryhack/bankchurnpred", "kernel_id": "84387307"}, {"ref": "bilgingunes/binary-classification-with-a-bank-churn-dataset", "kernel_id": "85216037"}, {"ref": "vanshagarwal1101/bank-churn-binary-classification", "kernel_id": "85475857"}, {"ref": "yuanyuan98/bankchurn-develop-ver1", "kernel_id": "85154110"}, {"ref": "sakhawathossen/bank-churn-prediction-eda-anns-xgb", "kernel_id": "86941771"}, {"ref": "sakhawathossen/bank-churn-eda", "kernel_id": "86943912"}, {"ref": "sakhawathossen/bank-churn-prediction-xgb", "kernel_id": "86944137"}, {"ref": "sakhawathossen/bank-churn-prediction-anns", "kernel_id": "86943976"}, {"ref": "sakhawathossen/bank-churn-prediction-eda-xgb", "kernel_id": "86944051"}, {"ref": "ponaalagarok/bda-trail", "kernel_id": "86184169"}, {"ref": "vigneshbalachander/bank-churn-classification", "kernel_id": "86645207"}, {"ref": "ouzhanakr/late-submission-ps-s4e1-xgboost-optuna", "kernel_id": "87854956"}, {"ref": "muhammadqasimalias/model-pipeline", "kernel_id": "87026788"}, {"ref": "stpeteishii/bank-churn-prediction-xgboost-pipeline", "kernel_id": "88879720"}, {"ref": "rhansacitcinolu/classification-bank-churn-eda-ml-98-train-data", "kernel_id": "88246548"}, {"ref": "thuandao/bank-marketing-eda-business-analysis", "kernel_id": "88909418"}, {"ref": "vedanshtyagi2451/bank-churn-prediction-using-ann-eda", "kernel_id": "88278631"}, {"ref": "thuandao/bank-customer-churn-eda-business-analysis", "kernel_id": "89218571"}, {"ref": "kaustavroychowdhury/xgboost-churn-analytics-for-banking", "kernel_id": "90795007"}, {"ref": "junshimura/bootcampchapter7", "kernel_id": "91956967"}, {"ref": "sidde95/stopping-customer-churn-using-optimized-xgboost", "kernel_id": "92625894"}, {"ref": "sahilishkumar/bankchurndata-prediction-using-logistic-regression", "kernel_id": "93886516"}, {"ref": "nikithareddy14/bank-churn-ml", "kernel_id": "94407380"}, {"ref": "ethicalstar/ank-churn-prediction-90-acc", "kernel_id": "95028378"}, {"ref": "henriquecoelhovsk/bank-churn-data-prediction", "kernel_id": "100318393"}, {"ref": "felipebarradas/bank-churn-data-prediction", "kernel_id": "102734153"}, {"ref": "wajihulhassan369/eda-feature-engineering-optuna", "kernel_id": "103750544"}, {"ref": "chelsiec/bank-churn-prediction", "kernel_id": "104031478"}, {"ref": "achyutghimire/notebook287b6f2f99", "kernel_id": "106692181"}, {"ref": "nina2025/ps-s4e1-h-blend", "kernel_id": "109182842"}, {"ref": "sevvalclalcebeciolu/binary-classification-with-a-bank-churn-dataset", "kernel_id": "109186814"}, {"ref": "swas06/bankchurneda-hypothesis-testing", "kernel_id": "111664811"}, {"ref": "thoradjo/bank-churn-eda-shap-threshold-roi-analysis", "kernel_id": "114221767"}, {"ref": "pratyushsenapati/bankchurn", "kernel_id": "114758864"}, {"ref": "zynptkn06/bank-churn-dataset-binary-classification", "kernel_id": "115758792"}, {"ref": "estheradewale/bank-churn-fbit", "kernel_id": "119054127"}, {"ref": "oyinlolaosunsoko/bank-churn-dataset", "kernel_id": "119164643"}, {"ref": "hussain99/lightgbm-xgboost-keras", "kernel_id": "120565860"}, {"ref": "bnyamingen/machinelearning-final", "kernel_id": "121283111"}, {"ref": "prohorova/bank-churn-classification-project", "kernel_id": "123581297"}, {"ref": "yadav98788/competition-9", "kernel_id": "123851730"}, {"ref": "keitamiyake/notebook1dd5d87170", "kernel_id": "124887547"}, {"ref": "yrw919/notebook8fcf5d6af0", "kernel_id": "125032401"}, {"ref": "nitako/notebookad70a3642e", "kernel_id": "125774110"}, {"ref": "fujiryooo/notebook1dd5d87170", "kernel_id": "125782407"}, {"ref": "yoshimurakentaro/notebook1dd5d87170-a97860", "kernel_id": "126560900"}, {"ref": "litlestar/binary-classification-with-a-bank-churn-dataset", "kernel_id": "127482020"}, {"ref": "zqx960151285/binary-classification-with-a-bank-churn-dataset", "kernel_id": "129861992"}, {"ref": "aniketng21600/notebook77b7b9ec16", "kernel_id": "130931628"}, {"ref": "anshumandebashis/fork-of-bank-churn-classification", "kernel_id": "130911550"}, {"ref": "zohakhawaja/bank-customer-churn-eda-ml-neural-network", "kernel_id": "131930416"}, {"ref": "timurswag/notebookdceddc59ff", "kernel_id": "133472536"}, {"ref": "mnkaggler/bank-churn-prediction-xgboost-neural-network", "kernel_id": "133342062"}, {"ref": "dharmaputra13/playground-end-to-end-machine-learning-dharma", "kernel_id": "134030428"}, {"ref": "tuyennguyenthicam/baseline", "kernel_id": "135321330"}, {"ref": "indrajeetbadhel/binary-classification-model-for-customer-churn", "kernel_id": "136513024"}]}
{"competition_id": "65727", "kernels": []}
{"competition_id": "65753", "kernels": []}
{"competition_id": "65821", "kernels": []}
{"competition_id": "65823", "kernels": [{"ref": "pavankrishnappa/stroke-predictor-123ofai-ml-hackathon", "kernel_id": "47775767"}, {"ref": "akhilsnairrb1923/stroke-prediction", "kernel_id": "50135265"}]}
{"competition_id": "65824", "kernels": [{"ref": "asztyber/przykladowy-kod-do-lab-5", "kernel_id": "47508898"}]}
{"competition_id": "65833", "kernels": [{"ref": "pushkar007/write-u-net-from-scratch-tutorial", "kernel_id": "32203543"}, {"ref": "pushkar007/learn-multiclass-semantic-segmentation-unet-miou", "kernel_id": "32138469"}]}
{"competition_id": "65862", "kernels": [{"ref": "danofer/catboost-starter-wids-2024", "kernel_id": "49393686"}, {"ref": "eleonora0/wids-2024-with-pycaret", "kernel_id": "49373627"}, {"ref": "aerdem4/wids-2024-lofo-feature-importance", "kernel_id": "49578633"}, {"ref": "neerajbansal/neeraj-wids", "kernel_id": "49171351"}, {"ref": "alexandremoritz/wids-2024-eda-with-tensorflow-data-validation", "kernel_id": "49792590"}, {"ref": "changsun1025/wids-maas-2024-tutorial-day-2", "kernel_id": "49693976"}, {"ref": "cristianlazoquispe/understanding-cancer-full-eda-icd10-icd9", "kernel_id": "49772460"}, {"ref": "omarvivas/nlp-wids2024", "kernel_id": "49995762"}, {"ref": "omarvivas/xgboost-wids2024", "kernel_id": "49906108"}, {"ref": "omarvivas/keras-wids2024", "kernel_id": "49907230"}, {"ref": "omarvivas/torch-wids2024", "kernel_id": "49906762"}, {"ref": "omarvivas/lgbm-wids2024", "kernel_id": "49903869"}, {"ref": "omarvivas/catboost-wids2024", "kernel_id": "49903545"}, {"ref": "farzonaeraj/equity-in-healthcare-eda-baseline-model", "kernel_id": "49196195"}, {"ref": "farzonaeraj/equity-in-healthcare-ensemble", "kernel_id": "49673440"}, {"ref": "tesnimglen/wids24-first-look-eda", "kernel_id": "49164459"}, {"ref": "thiagomantuani/wids-2024-1-eda-modeling", "kernel_id": "49897879"}, {"ref": "vrushalimanka/wids-datathon-eda-baseline-model", "kernel_id": "49228343"}, {"ref": "sophiazhang17/predict-time-to-diagnosis-widsdatathon", "kernel_id": "49216352"}, {"ref": "petregr/ml-project-bbg", "kernel_id": "49482064"}, {"ref": "manhhuynguyen/wids-2024", "kernel_id": "49261426"}, {"ref": "ravi20076/wids2024challenge1-baseline-v1", "kernel_id": "49175032"}, {"ref": "waleedabujaish/wids-starter-0-807-lb", "kernel_id": "49190293"}, {"ref": "anushadixit1901/widsdatathon", "kernel_id": "49253622"}, {"ref": "annafabris/wids-datathon-1-starter-with-catboost", "kernel_id": "49175593"}, {"ref": "andreakvasnak/wids2024-data-exploration", "kernel_id": "49227430"}, {"ref": "andreakvasnak/wids24-1-data-prep-and-prediction", "kernel_id": "49694346"}, {"ref": "ulisesmontoyacanales/lofo-importance-wids", "kernel_id": "49288631"}, {"ref": "uzairshafique/wids2024-eda-xgboost-0-799", "kernel_id": "49755522"}, {"ref": "tianyimasf/wids-2024-challenge-1-eda", "kernel_id": "49232796"}, {"ref": "rahulkrishnag6699/predictive-timely-cancer-treatment", "kernel_id": "49162748"}, {"ref": "rahulkrishnag6699/equity-in-health-descriptive-analytics-1", "kernel_id": "49237167"}, {"ref": "jennarussell/wids-notebook-intro-to-data-science-concepts", "kernel_id": "49702846"}, {"ref": "jano123/symbolic-classification-wids-2024", "kernel_id": "49457631"}, {"ref": "jjleesunny/0-794-lb-upvote-for-good-start", "kernel_id": "49219948"}, {"ref": "jjleesunny/0-776-lb-cleaning-data-stratified-kfold", "kernel_id": "49216950"}, {"ref": "manavgupta92/the-2-min-maggi-simplest-notebook", "kernel_id": "49264501"}, {"ref": "sandeepbora/wids-datathone-2024", "kernel_id": "49399444"}, {"ref": "ddosad/wids-data-exploration-ml-starter", "kernel_id": "49211778"}, {"ref": "randmansour/wids24", "kernel_id": "49546003"}, {"ref": "sergeydeev/tfdf-and-wids-datathon", "kernel_id": "49363074"}, {"ref": "yorkyong/wids-datathon-predicting-timely-treatment", "kernel_id": "49695507"}, {"ref": "byteliberator/wids-lgbm805-trials-with-new-features-lb-scores", "kernel_id": "49813644"}, {"ref": "farheenshaukat/wids-project", "kernel_id": "49822708"}, {"ref": "keyuchen2024/catboost-with-detailed-comments", "kernel_id": "49326334"}, {"ref": "shobhakurudi/wids-datathon-2024-challenge-p1", "kernel_id": "49195710"}, {"ref": "afsanakhan/wids-maas-2024-tutorial-day-1", "kernel_id": "50156836"}, {"ref": "gauravkoradiya/wids-assignment-gaurav", "kernel_id": "50946972"}, {"ref": "omarvivas/mixoof-wids2024", "kernel_id": "50066655"}, {"ref": "lilychebotarova/wids-2024-datathon", "kernel_id": "50713206"}, {"ref": "katenjoki/wids-2024-eda-mlclassification", "kernel_id": "50022930"}, {"ref": "thuyilarobinson/lgbm-and-preprocessing", "kernel_id": "50606514"}, {"ref": "santanubanerjee9/acqwomen-wids-24", "kernel_id": "50044992"}, {"ref": "rashidrk/wids-2024-datathon-getting-0-81-lb-xgboost", "kernel_id": "50894667"}, {"ref": "andreakvasnak/xgboost-public-example", "kernel_id": "50061224"}, {"ref": "tammyroberson/notebookee5eda153a", "kernel_id": "50005843"}, {"ref": "jothsna27/wids-datathon-timely-treatment-prediction", "kernel_id": "50921868"}, {"ref": "anopsy/feeling-lazy-with-lazypredict-baselines", "kernel_id": "50505142"}, {"ref": "anopsy/wids2024-diagperiodl90-per-state-viz-msnomatrix", "kernel_id": "50104917"}, {"ref": "anopsy/fe-and-xgb-on-clean-data", "kernel_id": "50976978"}, {"ref": "anopsy/ml-for-missing-values", "kernel_id": "50935502"}, {"ref": "anopsy/neural-network-keras-tuner", "kernel_id": "50861202"}, {"ref": "yiwenzhuang2606/wids-datathon-2024-timely-treatment-prediction", "kernel_id": "50605818"}, {"ref": "ayakaminamii/duckiduckiducki", "kernel_id": "50362781"}, {"ref": "phyosandarwin/wids-2024-prediction-excl-nlp-xgboost-0-801", "kernel_id": "50943117"}, {"ref": "gabrielfreddi/xgboost-optuna-gpu-wids-datathon-2024", "kernel_id": "50872953"}, {"ref": "yorkyong/eda-on-demographics-features", "kernel_id": "50487887"}, {"ref": "laviniaferri/wids-maas-2024-tutorial-day-1", "kernel_id": "50360162"}, {"ref": "uyangas/xgboost-single-model-and-least-features", "kernel_id": "51790968"}, {"ref": "jaspreetkochar1/baseline-notebook-using-h2o", "kernel_id": "51423158"}, {"ref": "kooaslansefat/wids-2024-av-bo-catboost", "kernel_id": "51032443"}, {"ref": "shobhitupadhyaya/wids2024-ambiguous-data", "kernel_id": "51984051"}, {"ref": "tomy4reel/1st-place-wids", "kernel_id": "51853723"}, {"ref": "temwekac/wids-datathon-2024-challenge-first-look", "kernel_id": "51421397"}, {"ref": "thejas2002/eda-insights", "kernel_id": "51020465"}, {"ref": "omkarghugarkar/catboost-joker", "kernel_id": "51652794"}, {"ref": "adizz2407/xgboost-wids", "kernel_id": "51140788"}, {"ref": "santanubanerjee9/ensembling-3boosts", "kernel_id": "51519835"}, {"ref": "santanubanerjee9/lgbm-aqwomen", "kernel_id": "51495621"}, {"ref": "qnguyen/eda-xgboost", "kernel_id": "51108345"}, {"ref": "visalakshikasi/wids-working-1", "kernel_id": "51796240"}, {"ref": "durgabn/learner-v5", "kernel_id": "51071154"}, {"ref": "onurkoc83/catboost-base-feats", "kernel_id": "51007941"}, {"ref": "onurkoc83/catboost-joker", "kernel_id": "51050163"}, {"ref": "onurkoc83/private-leaderboard-0-802-catboost-joker", "kernel_id": "51852703"}, {"ref": "nicolsalayoarias/wids-datathon-2024-desaf-o-1-private-score-0-795", "kernel_id": "51793837"}, {"ref": "lmvergara1530/wids-datathon-2024-log-regression-and-catboost", "kernel_id": "51137928"}, {"ref": "prajja1990/accelerator-wids", "kernel_id": "51612982"}, {"ref": "iqbalsyahakbar/wids-2024-1-2nd-place-solution", "kernel_id": "51855652"}, {"ref": "anopsy/nlp-ensemble-on-rawdata", "kernel_id": "51108024"}, {"ref": "anopsy/nlp-ensemble-on-cleandata", "kernel_id": "51126449"}, {"ref": "ujunwafatima/wids-2024-1st-place", "kernel_id": "51971609"}, {"ref": "mrsimple07/xgbclassifier-with-optuna", "kernel_id": "51020748"}, {"ref": "bettyhagos/wids-san-diego-students-1sttimekagglers-bkh-ss", "kernel_id": "51836458"}, {"ref": "akshilm/akshil-wids-solution-using-rf-svm-lgbmclassifier", "kernel_id": "51202541"}, {"ref": "sid4ds/wids-1-02-reduced-features", "kernel_id": "51850003"}, {"ref": "sid4ds/wids-1-00-baseline", "kernel_id": "51400523"}, {"ref": "yorkyong/wids-datathon-catboost", "kernel_id": "51198030"}, {"ref": "yorkyong/wids-datathon-predicting-timely-treatment-v4", "kernel_id": "51023110"}, {"ref": "yorkyong/wids-datathon-predicting-timely-treatment-v3", "kernel_id": "51011880"}, {"ref": "yorkyong/wids-datathon-tensorflow", "kernel_id": "51112223"}, {"ref": "yorkyong/wids-datathon-ensemble-light", "kernel_id": "51075409"}, {"ref": "yorkyong/feature-selection-hyperparameter-tuning", "kernel_id": "51987237"}, {"ref": "anshulm257/svc-sgd-catboost-ensemblelearning-submission", "kernel_id": "51159433"}, {"ref": "sarahhayounggoldman/wids-v2", "kernel_id": "51000108"}, {"ref": "lavenderkaori/baseline-catboost-health-feature", "kernel_id": "51559251"}, {"ref": "maggiegggggg/wids-datathon-2024-entry-2", "kernel_id": "51252863"}, {"ref": "rekhakanojia/data-champs", "kernel_id": "51652790"}, {"ref": "wispvale/catboost-joker", "kernel_id": "51608173"}, {"ref": "sajidshahbs/the-synergistic-solvers-top-first-timer", "kernel_id": "52420722"}, {"ref": "busratekin/wids-dt-ensemble-model-0-801", "kernel_id": "52403553"}, {"ref": "khueluu/wids2024-acwomen-catboost", "kernel_id": "52571427"}, {"ref": "khueluu/wids2024-acwomen-xgboost", "kernel_id": "52895119"}, {"ref": "gamzeakkurt/triple-negative-breast-cancer-analysis-lightgbm", "kernel_id": "52027751"}, {"ref": "mounvipodapati/pax2m-solution", "kernel_id": "52345662"}, {"ref": "aminaj/wids-datathon-2024-challenge-1", "kernel_id": "52246544"}, {"ref": "doleh23/23rd-solution", "kernel_id": "53529111"}, {"ref": "maggiegggggg/with-graphs-wids-datathon-2024-entry-2", "kernel_id": "53365667"}, {"ref": "ulisesmontoyacanales/wids-c2-bl", "kernel_id": "54526341"}, {"ref": "olgaskv/wids-2024-1-2-dataset-combined", "kernel_id": "59473044"}, {"ref": "deniz2121/wids-datathon-2024-challenge-2", "kernel_id": "69160338"}, {"ref": "khueluu/practice", "kernel_id": "72109251"}, {"ref": "whiteshadow1/wids3", "kernel_id": "72822861"}, {"ref": "lufeiy/wids3", "kernel_id": "72773421"}, {"ref": "lufeiy/wids2", "kernel_id": "72744202"}, {"ref": "samsonbobo/samson-wids24", "kernel_id": "72297230"}, {"ref": "datazkiyyah/wids24-datarx-exploration-moreclassifiers", "kernel_id": "85384088"}]}
{"competition_id": "65866", "kernels": []}
{"competition_id": "65876", "kernels": []}
{"competition_id": "65911", "kernels": []}
{"competition_id": "65920", "kernels": []}
{"competition_id": "65925", "kernels": []}
{"competition_id": "65926", "kernels": [{"ref": "pavelnovikov888/catboost-3-0", "kernel_id": "48593109"}, {"ref": "annamalkova88/motorica-internship-task", "kernel_id": "48108563"}, {"ref": "tobiweiss/bad-solution-30-0", "kernel_id": "48972373"}, {"ref": "exelero/solution2", "kernel_id": "50975256"}, {"ref": "tobiweiss/best-solution-lite", "kernel_id": "53293693"}, {"ref": "pachinanadezda/notebook0446c5a9a0", "kernel_id": "66318857"}, {"ref": "rombes/robohand", "kernel_id": "95794881"}]}
{"competition_id": "65943", "kernels": [{"ref": "brpuneet898/dataverse-ps23-eda-classification-problem", "kernel_id": "47726241"}, {"ref": "akshatshaw7/simple-notebook-for-beginners", "kernel_id": "47666896"}, {"ref": "akshatshaw7/simple-notebook-feature-engineering", "kernel_id": "47733544"}]}
{"competition_id": "66017", "kernels": [{"ref": "mustafakeser4/simple-pipeline-cv", "kernel_id": "47922074"}, {"ref": "whats2000/random-forest-space-ship-titanium-probability", "kernel_id": "47915573"}, {"ref": "whats2000/xgboost-space-ship-titanium-probability", "kernel_id": "47935642"}, {"ref": "marcusos/catboost-feat-eng-and-calibration-0-125-brier", "kernel_id": "48145757"}, {"ref": "jbomitchell/probabilistic-boltzmann-ensemble-spaceship-titanic", "kernel_id": "48339305"}, {"ref": "sugiuramasaharu/spaceship-titanic", "kernel_id": "48010092"}, {"ref": "marcogherbezza/a-spatial-eda-and-random-forest-classifier", "kernel_id": "48029861"}, {"ref": "ravi20076/spaceshiptitanic-models", "kernel_id": "48163414"}, {"ref": "ravi20076/spaceshiptitanic-blending", "kernel_id": "48602961"}, {"ref": "billycemerson/space-ship-titanium-probability-lgbmclassifier", "kernel_id": "48045261"}, {"ref": "billycemerson/simple-pipeline-and-lgbmclassifier", "kernel_id": "48131053"}, {"ref": "nandhirajak/spaceship-titanic-in-probability", "kernel_id": "48226874"}, {"ref": "carlmcbrideellis/classifier-calibration-using-venn-abers", "kernel_id": "49523378"}, {"ref": "dimakulbida/spaceship-titanic-comp-v1", "kernel_id": "50222054"}, {"ref": "skuvisxxx/spaceship", "kernel_id": "51151008"}, {"ref": "jbomitchell/2nd-stochastic-boltzmann-model-spaceship-titanic", "kernel_id": "53140331"}, {"ref": "syerramilli/spaceship-titanic-xgboost-vennabers-optuna", "kernel_id": "56666063"}, {"ref": "vigneshbalachander/spaceship-titanic-in-probability", "kernel_id": "86384319"}, {"ref": "harshkumar3/classifier-calibration-using-venn-abers", "kernel_id": "117525631"}]}
{"competition_id": "66020", "kernels": []}
{"competition_id": "66025", "kernels": []}
{"competition_id": "66052", "kernels": [{"ref": "tobirohrer/quickstart-challenge", "kernel_id": "47744234"}, {"ref": "patrick0302/copied-solution-ai-serving-grid-1st-try", "kernel_id": "48736601"}, {"ref": "patrick0302/mannul-labeling-on-submission", "kernel_id": "48736209"}, {"ref": "seraquevence/ai-serving-grid-1st-try", "kernel_id": "48176222"}, {"ref": "sa4444/anomaly-detection-in-ai-serving-grid-stability", "kernel_id": "49460985"}, {"ref": "seraquevence/ai-serving-grid-knn-isoforest", "kernel_id": "49473533"}, {"ref": "seraquevence/ai-serving-grid-knn", "kernel_id": "49429472"}, {"ref": "nilskroener/d-fine-ai-serving-grid-feature-engineering", "kernel_id": "49971310"}, {"ref": "satadience/d-fine-expert-rules-lstm-vae", "kernel_id": "50812265"}, {"ref": "patrick0302/isolationforest-unsupervised-anomaly-detection", "kernel_id": "50188657"}, {"ref": "thariqnugrohotomo/5th-place-solution-beginner-luck", "kernel_id": "50731428"}, {"ref": "nilskroener/d-fine-ai-serving-grid-manual-labeling-tool", "kernel_id": "50024817"}]}
{"competition_id": "66113", "kernels": [{"ref": "appleaaa/vehicle-detection-in-dashcam-videos", "kernel_id": "60969026"}]}
{"competition_id": "66116", "kernels": []}
{"competition_id": "66123", "kernels": [{"ref": "srinithikmk/data-wizards-kidney-disease", "kernel_id": "47815514"}, {"ref": "kifayatullahe/chronic-kidney-disease", "kernel_id": "79500216"}]}
{"competition_id": "66253", "kernels": [{"ref": "leorosee/pypy-noel-apresentacao", "kernel_id": "48238538"}]}
{"competition_id": "66263", "kernels": []}
{"competition_id": "66282", "kernels": [{"ref": "marcogherbezza/eda-and-modelling-of-vector-borne-disease", "kernel_id": "48188153"}, {"ref": "virajhemantha/borne-disease-prediction", "kernel_id": "48205068"}, {"ref": "justinkim1216/catboost-domain-informed-feature-engineering", "kernel_id": "48761306"}, {"ref": "harharharhar/vector-disease", "kernel_id": "49412427"}, {"ref": "sergeydeev/tabular-vector-borne-disease", "kernel_id": "49015151"}, {"ref": "yatharthgautam123789/tabular-vector-borne-disease", "kernel_id": "50728640"}]}
{"competition_id": "66288", "kernels": [{"ref": "bhavadharani2076/notebookd0ac106d61", "kernel_id": "47913510"}, {"ref": "kushalprasad/oula-model", "kernel_id": "48053181"}]}
{"competition_id": "66329", "kernels": []}
{"competition_id": "66344", "kernels": []}
{"competition_id": "66348", "kernels": []}
{"competition_id": "66370", "kernels": [{"ref": "asztyber/przykladowy-kod-do-lab-6", "kernel_id": "48019325"}]}
{"competition_id": "66479", "kernels": []}
{"competition_id": "66516", "kernels": []}
{"competition_id": "66530", "kernels": [{"ref": "whats2000/xgboost-wind-power-prediction", "kernel_id": "48206229"}, {"ref": "anannoasif/wind-power-prediction", "kernel_id": "48404887"}, {"ref": "fuchunhsieh/wind-power-prediction-lgdb-linear-regression", "kernel_id": "48433198"}, {"ref": "talhabarkaatahmad/wind-power-prediction-xgb", "kernel_id": "48250586"}, {"ref": "nungshunan/4b012045-nung", "kernel_id": "48878656"}, {"ref": "zienwang/4b012110", "kernel_id": "48920127"}, {"ref": "feeeedfge/4b012093", "kernel_id": "48609747"}, {"ref": "b4012012/4b012012", "kernel_id": "48875821"}]}
{"competition_id": "66532", "kernels": [{"ref": "bratkovskyevgeny/first-step-in-nlp-0-89280-on-private-lb", "kernel_id": "49089702"}, {"ref": "andreipoluesov/parsing-fontanka", "kernel_id": "49359569"}]}
{"competition_id": "66534", "kernels": [{"ref": "prashantkumarsundge/telecom-churn-case-study-hackathon-pams", "kernel_id": "49317143"}]}
{"competition_id": "66540", "kernels": [{"ref": "parth904/preprocessing", "kernel_id": "49740445"}]}
{"competition_id": "66545", "kernels": [{"ref": "umuttoygargoz/covid-19-vefat-tahmini-ba-lang-defteri", "kernel_id": "48179930"}, {"ref": "huseyine/covid-19-vefat-tahmini-ba-lang-defteri-0021b6", "kernel_id": "48260966"}]}
{"competition_id": "66582", "kernels": []}
{"competition_id": "66583", "kernels": []}
{"competition_id": "66584", "kernels": []}
{"competition_id": "66591", "kernels": [{"ref": "andreysmirnov/heart-desease-classification-svc-ipynb", "kernel_id": "48226887"}, {"ref": "suleymanzade/ardiovascular-disease", "kernel_id": "48575838"}, {"ref": "lonnieqin/cardio-vascular-disease-classification-with-lgbm", "kernel_id": "48655303"}, {"ref": "soufianeelhaddad/cardiovascular-disease-decisiontree", "kernel_id": "48457029"}, {"ref": "yashusinghal/catboostclassifier-how-to-inc-acc-i-am-stucked", "kernel_id": "48471852"}, {"ref": "justinkim1216/lgbm-novel-feature", "kernel_id": "48734286"}, {"ref": "justinkim1216/logistic-regression-with-grid-search-cv", "kernel_id": "48635477"}, {"ref": "saswattulo/cardiovascular-disease", "kernel_id": "48657580"}, {"ref": "sergeydeev/cardio-with-tfdf", "kernel_id": "48671461"}]}
{"competition_id": "66596", "kernels": []}
{"competition_id": "66598", "kernels": []}
{"competition_id": "66599", "kernels": []}
{"competition_id": "66602", "kernels": []}
{"competition_id": "66604", "kernels": [{"ref": "belati/beginner-s-notebook-curah-hujan", "kernel_id": "48766086"}]}
{"competition_id": "66610", "kernels": [{"ref": "sumn2u/garbage-guru-challenge", "kernel_id": "49465555"}, {"ref": "killa92/data-analysis-visualization", "kernel_id": "52557890"}, {"ref": "ramandipsingh/notebook530f1d96e8", "kernel_id": "79479372"}, {"ref": "elkhawaga/garbage-classification-resnet-pytorch", "kernel_id": "90427594"}]}
{"competition_id": "66630", "kernels": [{"ref": "mpwolke/jellyfish-plasticpollution-a-turtlevision", "kernel_id": "53474381"}, {"ref": "mpwolke/turtlevision-cnn", "kernel_id": "53472614"}, {"ref": "samerattrah/turtlevision-challenge", "kernel_id": "54105961"}, {"ref": "nithunith/ml-olympiad-turtlevision", "kernel_id": "67307113"}]}
{"competition_id": "66631", "kernels": [{"ref": "nasuka/numerical-feature-baseline", "kernel_id": "56108767"}, {"ref": "bguberfain/naive-tfidf", "kernel_id": "56151978"}, {"ref": "soulmate0317/lmsys-basic-notebook-v0-1", "kernel_id": "56735704"}, {"ref": "robikscube/lmsys-chatbot-arena-data-anaylsis", "kernel_id": "56096279"}, {"ref": "currypurin/lmsys-lengthfeature-and-tf-idf-v2", "kernel_id": "56295176"}, {"ref": "asmitamukh/sentence-transformer-simple-classifier", "kernel_id": "56298628"}, {"ref": "huikang/sample-submission", "kernel_id": "56098717"}, {"ref": "ahsuna123/research-book-data-visualization", "kernel_id": "56095889"}, {"ref": "mpwolke/lmsys-chatbotarena-mistral-7b-instruct", "kernel_id": "56263871"}, {"ref": "mpwolke/lmsys-chatbot-arena-llama3-8b-chat-hf", "kernel_id": "56253003"}, {"ref": "mpwolke/lmsys-chatbotarena-gemma-7b-it", "kernel_id": "56344338"}, {"ref": "mpwolke/lmsys-gemma-7b-it-rag-few-shot-prompting", "kernel_id": "56450498"}, {"ref": "mpwolke/why-is-420-so-funny-gemma-1-1-instruct-7b-en", "kernel_id": "56432566"}, {"ref": "mpwolke/lmsys-mixtral-8x7b-instruct-v0-1-hf", "kernel_id": "56370130"}, {"ref": "mpwolke/my-battles-on-chatbot-arena", "kernel_id": "56114262"}, {"ref": "mpwolke/gemma-on-chatbot-arena", "kernel_id": "56161680"}, {"ref": "mpwolke/chatbot-arena-model-s-umap-cluestar", "kernel_id": "56188361"}, {"ref": "mpwolke/my-favorite-nemesis-gemma-1-1-7b-it", "kernel_id": "56518329"}, {"ref": "mpwolke/oom-7b-gemma-keras-1-1-instruct-2b-en", "kernel_id": "56742407"}, {"ref": "mpwolke/eureka-gemma-1-1-instruct-7b-en", "kernel_id": "56837995"}, {"ref": "nvnikhil0001/lmsys-eda-and-baseline", "kernel_id": "56127301"}, {"ref": "huangjingstark/lmsys-logistic-regression", "kernel_id": "56109934"}, {"ref": "brianblakely/starter-eda-model-comparison", "kernel_id": "56257775"}, {"ref": "igalbronshtein/chatbot-arena-with-spacy", "kernel_id": "56364793"}, {"ref": "takaito/lmsys-model-name-catboostclassifier", "kernel_id": "56122405"}, {"ref": "fritzcremer/lmsys-deberta-v3-base-baseline", "kernel_id": "56136775"}, {"ref": "junyama09143/lmsys", "kernel_id": "56969104"}, {"ref": "lyuxinshuai/lmsys-high-similarity-answers-then-tie-trend", "kernel_id": "56961579"}, {"ref": "lyuxinshuai/lmsys-eda-winner-and-tie", "kernel_id": "56850637"}, {"ref": "satyaprakashshukl/chatbot-arena-eda-wip", "kernel_id": "56284746"}, {"ref": "ravi20076/lmsys2024-baseline-v4", "kernel_id": "56482824"}, {"ref": "ravi20076/lmsys2024-baseline-v3", "kernel_id": "56361961"}, {"ref": "ravi20076/lmsys2024-baseline-v2", "kernel_id": "56244464"}, {"ref": "ravi20076/lmsys2024-baseline-v1", "kernel_id": "56135513"}, {"ref": "valentinwerner/log-loss-what-are-good-scores", "kernel_id": "56486444"}, {"ref": "abdullahmeda/33k-lmsys-chatbot-arena-conversations", "kernel_id": "56507323"}, {"ref": "nhttinnguynbch/data-analyze-baseline", "kernel_id": "56204418"}, {"ref": "nhttinnguynbch/dpo-baseline", "kernel_id": "56247078"}, {"ref": "leeheewon01/lmsys-tfid-lgbm-baseline", "kernel_id": "56100949"}, {"ref": "stochoshi/lmsys-baseline", "kernel_id": "56368889"}, {"ref": "stochoshi/deberta-starter-lmsys", "kernel_id": "56197041"}, {"ref": "haseebwar07/human-preference-predictions-rf", "kernel_id": "56104586"}, {"ref": "richolson/lmsys-tf-idf-boosted-trees", "kernel_id": "56372318"}, {"ref": "richolson/lb-experiment-modify-prediction-temperature", "kernel_id": "56535168"}, {"ref": "richolson/tf-idf-word2vec-ftw-lb-1-026", "kernel_id": "56658695"}, {"ref": "richolson/deberta-tf-idf-word2vec", "kernel_id": "56844464"}, {"ref": "richolson/deberta", "kernel_id": "56764543"}, {"ref": "richolson/deberta-tf-idf-word2vec-length", "kernel_id": "56862156"}, {"ref": "nileshiq/unveiling-human-preferences", "kernel_id": "56812668"}, {"ref": "nicolemichaud/chatbot-preference-predictor", "kernel_id": "56439650"}, {"ref": "aniketdash7/lymsys-submission-baseline", "kernel_id": "56592270"}, {"ref": "shadesh/logistic-regression-and-random-forest-algorithms", "kernel_id": "56701595"}, {"ref": "shadesh/lmsys-chatbot-used-maistral-model", "kernel_id": "56741952"}, {"ref": "evanchenyef/lmsys-deberta-v3-base-baseline", "kernel_id": "56243197"}, {"ref": "changjhaoen/ml-finalproject", "kernel_id": "56786949"}, {"ref": "takapis/lmsys-lightgbm", "kernel_id": "56701675"}, {"ref": "rickpack/r-average-prob-per-prompt-word-no-gpu", "kernel_id": "57267104"}, {"ref": "rickpack/python-average-prob-per-word-no-gpu", "kernel_id": "57368730"}, {"ref": "aleksanderhan/lmsys-chatbot-arena-model-classification", "kernel_id": "57295217"}, {"ref": "craving1030/lmsys-chatbot-arena-model-building-with-keras", "kernel_id": "57248497"}, {"ref": "prithviraj7387/lmsys-chatbot-arena-eda", "kernel_id": "57607138"}, {"ref": "jaloeffe92/lmsys-hyperparameter-optimization", "kernel_id": "57519057"}, {"ref": "awsaf49/lmsys-kerasnlp-starter", "kernel_id": "57485245"}, {"ref": "khederyazgi/word-feature-and-lengthfeature-and-tf-idf-v2", "kernel_id": "57331629"}, {"ref": "xblade/lmsys-deberta-training", "kernel_id": "57508867"}, {"ref": "xblade/lmsys-deberta-inference", "kernel_id": "57486563"}, {"ref": "abaojiang/lmsys-detailed-eda", "kernel_id": "57755079"}, {"ref": "kowshikdebnath/baseline-xgboost", "kernel_id": "57656981"}, {"ref": "mhadani/lmsys-all-you-need", "kernel_id": "57842969"}, {"ref": "lyuxinshuai/lmsys-prompt-cluster", "kernel_id": "57200066"}, {"ref": "jocelyndumlao/ai-duel-clash-of-chatbots-model-a-vs-model-b", "kernel_id": "57499645"}, {"ref": "siddhvr/lmsys-cahpp-llama3-8b-inference-baseline", "kernel_id": "57794663"}, {"ref": "kryko7/word2vec-baseline", "kernel_id": "57389431"}, {"ref": "akshayramakrishnan28/notebook1d9066201b", "kernel_id": "57075652"}, {"ref": "mohanapriyan/c-lmsys-eda", "kernel_id": "57032638"}, {"ref": "ivanvybornov/llama3-8b-lgbm-tfidf", "kernel_id": "57429656"}, {"ref": "kishanvavdara/inference-llama-3-8b", "kernel_id": "57500335"}, {"ref": "shadesh/predicting-chatbot-competition-winners-with-xgboos", "kernel_id": "57701808"}, {"ref": "qamarmath/chatbot-outcome-prediction-with-word-embeddings", "kernel_id": "57363609"}, {"ref": "alexxxsem/lmsys-chatbot-arena-sub", "kernel_id": "57371161"}, {"ref": "mikaelrajakhan/notebook126fa09c1c", "kernel_id": "57189211"}, {"ref": "rajamanasa1904/chatbot-arena-prediction", "kernel_id": "57648318"}, {"ref": "maximilianscheinast/comp-v1", "kernel_id": "57339853"}, {"ref": "maximilianscheinast/comp-v5", "kernel_id": "57705187"}, {"ref": "maximilianscheinast/comp-v6-use", "kernel_id": "57695964"}, {"ref": "sayyedfarrukhmehmood/chatbot-arena-eda-and-text-processing-guide", "kernel_id": "57547628"}, {"ref": "romanzubarev/notebookeb81799d12", "kernel_id": "58282294"}, {"ref": "kts12345/aya-8b-infer", "kernel_id": "58737009"}, {"ref": "tabassumnova/lmsys-fine-tuning-llama3-8b", "kernel_id": "58353720"}, {"ref": "arman1611/lmsys-initial-eda", "kernel_id": "58103699"}, {"ref": "yukiohkawa/lmsys-first-sub", "kernel_id": "58054551"}, {"ref": "pollicio/lmsys1-1-chile-lengthfeature-and-tf-idf-v2", "kernel_id": "58066352"}, {"ref": "akuppps/lmsys-detailed-eda-prep-for-baseline", "kernel_id": "58729023"}, {"ref": "mhadani/lmsys-xgboost", "kernel_id": "58302555"}, {"ref": "junjitakeshima/lmsys-tf-idf-attempts-for-beginner-eng", "kernel_id": "58705165"}, {"ref": "nikhiltumbde/lmsys-baseline-v5-blending", "kernel_id": "58640442"}, {"ref": "ivanstabile/inference-llama-3-8b", "kernel_id": "58590647"}, {"ref": "kuncenjiang/lmsys-kerasnlp-starter-copy", "kernel_id": "58666999"}, {"ref": "chlgpjj/lmsys-kerasnlp-starter-copied", "kernel_id": "58368308"}, {"ref": "chlgpjj/lmsys-text-classification", "kernel_id": "58368562"}, {"ref": "litecj702/lmsys-model-check", "kernel_id": "58287543"}, {"ref": "won3503/12week-project-k2023016-ver2", "kernel_id": "58513669"}, {"ref": "vanshitasharma/sample-models", "kernel_id": "58428872"}, {"ref": "kartikeybartwal/comprehensive-eda", "kernel_id": "58620019"}, {"ref": "nazimcherpanov/human-vs-bot-predicting-preferences", "kernel_id": "58115527"}, {"ref": "bumsukang/aya-8b-infer", "kernel_id": "58852982"}, {"ref": "bumsukang/lmsys-cahpp-llama3-8b-inference-baseline", "kernel_id": "58340591"}, {"ref": "yeoncheolchoi/lmsys-basic-practice", "kernel_id": "58345991"}, {"ref": "yoonsanggyu/aya-8b-infer-2", "kernel_id": "58895456"}, {"ref": "yoonsanggyu/summarized-test-text-is-not-worthy", "kernel_id": "58287633"}, {"ref": "shelterw/just-tf-idf-length", "kernel_id": "58558805"}, {"ref": "kefeiyan/chatbot-random", "kernel_id": "58224157"}, {"ref": "mohammedhassan92/notebok90c0432103", "kernel_id": "58897501"}, {"ref": "rayruiyunliu/eda-1", "kernel_id": "58453073"}, {"ref": "jayjodev/lmsys-base-xgboost", "kernel_id": "58422278"}, {"ref": "fana1004/lmsys-basic-fana-v0-1", "kernel_id": "58143805"}, {"ref": "jyim0329/chatbot-outcome-prediction-jy", "kernel_id": "58269700"}, {"ref": "jyim0329/aya-8b-infer", "kernel_id": "58806778"}, {"ref": "jaehoonk/notebooka305152f46", "kernel_id": "58451944"}, {"ref": "jaehoonk/aya-8b-infer-jaehoonkim", "kernel_id": "58816622"}, {"ref": "jeffersusus/inference-llama-3-8b-c177c8", "kernel_id": "58486934"}, {"ref": "jeffersusus/llama3-8b-lgbm-tfidf-7667ae", "kernel_id": "58513336"}, {"ref": "staryee030/chatbot-arena-human-preference-predictions-1", "kernel_id": "58498911"}, {"ref": "liaoguoying/what-s-your-eda", "kernel_id": "58177111"}, {"ref": "andreasbis/lmsys-chatbot-arena-tf-idf", "kernel_id": "58649476"}, {"ref": "kenshigure326/lmsys-detailed-eda", "kernel_id": "58958869"}, {"ref": "maximilianscheinast/comp-v", "kernel_id": "58779330"}, {"ref": "takamichitoda/lmsys-convert-ultrafeedback-to-competition", "kernel_id": "59168433"}, {"ref": "ssarkar445/lmsys-trainig-starter", "kernel_id": "59160746"}, {"ref": "nickfecondo/chat-bot", "kernel_id": "59483890"}, {"ref": "ramdascoundinya/submission-notebook", "kernel_id": "59436739"}, {"ref": "nabojyotipandey/llama-and-lightgbm-model-inference", "kernel_id": "59154909"}, {"ref": "chlgpjj/aya-8b-infer", "kernel_id": "59151823"}, {"ref": "won3503/aya-8b-infer-2", "kernel_id": "59055643"}, {"ref": "won3503/aya-8b-infer", "kernel_id": "59052194"}, {"ref": "luanngodinh/982-lb", "kernel_id": "59894089"}, {"ref": "theaiboy/llama-and-debertav3-large", "kernel_id": "59643388"}, {"ref": "hasanyldiz/lmsys-hyperparameter-optimization", "kernel_id": "59610807"}, {"ref": "kishanvavdara/lmsys-llama-3-tpu-train", "kernel_id": "59933843"}, {"ref": "shelterw/llama3-8b-lgbm-tfidf-max-len-1200", "kernel_id": "59143602"}, {"ref": "jayjodev/aya-8b-infer-1", "kernel_id": "59110193"}, {"ref": "fana1004/aya-8b-infer", "kernel_id": "59046460"}, {"ref": "andreiuruev/llama-3", "kernel_id": "59066034"}, {"ref": "philippsinger/lmsys-pip", "kernel_id": "60782886"}, {"ref": "frontfrend/lmsys-kerasnlp-starter", "kernel_id": "60088704"}, {"ref": "shams1/chatbot", "kernel_id": "60415614"}, {"ref": "thegodchurch/simple-single-epoch", "kernel_id": "60360421"}, {"ref": "mrzeco/z-rag-using-llama-3-langchain-and-chromad", "kernel_id": "60084091"}, {"ref": "danh99/lmsys-kerasnlp-starter", "kernel_id": "60182167"}, {"ref": "aryaamin/competition-lmsys", "kernel_id": "60869353"}, {"ref": "sunghoshim/lmsys-kerasnlp-starter-copy-kr", "kernel_id": "60103348"}, {"ref": "pranshubahadur/mamba-lmsys", "kernel_id": "60645579"}, {"ref": "pranshubahadur/lmsys-using-model-types", "kernel_id": "60769487"}, {"ref": "pranshubahadur/hf-pipeline-lmsys-training", "kernel_id": "60951177"}, {"ref": "sharad3162/lmsys-best-model-prediction", "kernel_id": "60575311"}, {"ref": "nguynlngnamanh/lmsys-fine-tuning-llama3-8b", "kernel_id": "60070168"}, {"ref": "chanchal24/building-a-chatbot-using-python", "kernel_id": "60987994"}, {"ref": "meenalsaini/lmsys-exploring-this-juicy-data", "kernel_id": "60070154"}, {"ref": "nileshiq/from-text-to-predictions", "kernel_id": "60768861"}, {"ref": "johnfang1234/lmsys-cahpp-llama3-8b-inference-baseline-216072", "kernel_id": "60075726"}, {"ref": "shelterw/new-baseline-dual-deberta-v3-base", "kernel_id": "60973914"}, {"ref": "ujjwalaggarwal402/lmsys-comprehensive-eda-insights", "kernel_id": "60992121"}, {"ref": "ggosinond/hcmus-deep-learners", "kernel_id": "60324676"}, {"ref": "sojeong2215969sm/y240707", "kernel_id": "60932187"}, {"ref": "kyee030/lmsys-32", "kernel_id": "60318602"}, {"ref": "eungpyokim/distillbert-32", "kernel_id": "60488250"}, {"ref": "eungpyokim/distillbert-35", "kernel_id": "60518687"}, {"ref": "eungpyokim/distillebrt-88", "kernel_id": "60587099"}, {"ref": "richengxuan/lmsys-cahpp-inference-baseline", "kernel_id": "61466772"}, {"ref": "bisili/text-stats-with-optuna", "kernel_id": "61768715"}, {"ref": "ankur246/chatbotresponseanalysissoln", "kernel_id": "61970173"}, {"ref": "vjagannath786/faster-training-with-unsloth", "kernel_id": "61556046"}, {"ref": "conjuring92/lmsys-packages-for-inference-source", "kernel_id": "61924636"}, {"ref": "yukiohkawa/bertopic", "kernel_id": "61058348"}, {"ref": "sercanyesiloz/lmsys-xgb-baseline", "kernel_id": "61680899"}, {"ref": "emiz6413/training-gemma-2-9b-4-bit-qlora-fine-tuning", "kernel_id": "61877705"}, {"ref": "emiz6413/inference-gemma-2-9b-4-bit-qlora", "kernel_id": "61923525"}, {"ref": "emiz6413/llama-3-8b-38-faster-inference", "kernel_id": "61389395"}, {"ref": "johnsonhk88/lmsys-chatbot-arena-llm", "kernel_id": "61137345"}, {"ref": "taikimori/lmsys-length-based-no-model-inference", "kernel_id": "61484167"}, {"ref": "danh99/ninfen-lmsys-baseline", "kernel_id": "61542951"}, {"ref": "virajkadam/lmsys-eda-and-topic-modelling", "kernel_id": "61459011"}, {"ref": "nabojyotipandey/lmsys-catboost-the-ultimate-champion", "kernel_id": "61769872"}, {"ref": "vrshyamsunder/lmsys-llama-3-tpu-train-97a789", "kernel_id": "61788194"}, {"ref": "nehalroy/using-xgboost-and-gb-using-nltk", "kernel_id": "61694994"}, {"ref": "xiaocao123/lmsys-lb0-978", "kernel_id": "61532752"}, {"ref": "tonymarkchris/train-lmsys-deberta-v3-starter-code", "kernel_id": "61690883"}, {"ref": "guillaumegeorges/chatbot-arena-human-preference-predictions", "kernel_id": "61354984"}, {"ref": "jatinsinghsagoi/lmsys-inference", "kernel_id": "61667101"}, {"ref": "jatinsinghsagoi/lmsys-clean", "kernel_id": "61649573"}, {"ref": "susanketsarkar/gemma-2-train-on-tpu", "kernel_id": "61851668"}, {"ref": "siddhvr/lmsys-llama3-8b-chat-gemma2-4b-ensemble-infer", "kernel_id": "61982175"}, {"ref": "emre21/human-ai-model-choises-eda", "kernel_id": "61863195"}, {"ref": "kishanvavdara/gemma-2-9b-part-1", "kernel_id": "61128799"}, {"ref": "kishanvavdara/gemma-2-9b-part-2", "kernel_id": "61307285"}, {"ref": "dakunextdoor/fork-of-lmsys-chatbot-arena-tf-idf", "kernel_id": "61492350"}, {"ref": "aneeshkb/pre-process", "kernel_id": "61307835"}, {"ref": "aneeshkb/mistral-k-bit", "kernel_id": "61272978"}, {"ref": "aneeshkb/mistral-copied", "kernel_id": "61183400"}, {"ref": "rahmakallel/starter-xgboost-inference", "kernel_id": "61893426"}, {"ref": "atuhori/lmsys-notebook", "kernel_id": "61871336"}, {"ref": "shelterw/new-good-feature-ifd-length-tf-idf", "kernel_id": "61253866"}, {"ref": "mohammedhassan92/submission", "kernel_id": "61096277"}, {"ref": "mingky11/lmsys-cahpp-llama3-8b-inference-baseline", "kernel_id": "61431432"}, {"ref": "mingky11/lmsys-deberta-length", "kernel_id": "61238200"}, {"ref": "fumihirotoko/kaggle0", "kernel_id": "61943288"}, {"ref": "roschildrui/deberta-train-plus-infer", "kernel_id": "61536380"}, {"ref": "lucasoceanbreeze/finetune-llama3-using-qlora", "kernel_id": "61646967"}, {"ref": "tragulragul/notebookf6b0f99721", "kernel_id": "61894903"}, {"ref": "miinjaekim/mjk-lmsys-kerasnlp-starter", "kernel_id": "61451869"}, {"ref": "twinklewill/infer-lmsys-240706-first", "kernel_id": "61801544"}, {"ref": "twinklewill/train-lmsys-240706-first", "kernel_id": "61649831"}, {"ref": "vedkulkarni17/llama-3-8b-fast", "kernel_id": "61460629"}, {"ref": "bmezgebu/oneworkflow", "kernel_id": "61411310"}, {"ref": "bmezgebu/lmsys-llama-3-tpu-train", "kernel_id": "61410217"}, {"ref": "philippsinger/psinger-cool-crab-v4-ff", "kernel_id": "62648414"}, {"ref": "solokop/lmsys-chatbot-arena-human-preference-predictions", "kernel_id": "62582597"}, {"ref": "mohamedkhamis/inference-llama3-1-8b-4-bit-qlora", "kernel_id": "62952456"}, {"ref": "mohamedkhamis/distributed-training-deberta-lora-keras-nlp", "kernel_id": "62102559"}, {"ref": "kpriyanshu256/inf-lmsys-gemma-chkpt-kd-full-llama-chkp-length", "kernel_id": "62817582"}, {"ref": "hung1047/nhom12-hhlt", "kernel_id": "62864490"}, {"ref": "takamichitoda/lmsys-zeroshot-prediction", "kernel_id": "62258779"}, {"ref": "cdeotte/infer-34b-with-vllm", "kernel_id": "62328774"}, {"ref": "sheilamarass/llm-textstat-vadersentiment-bert-sample", "kernel_id": "62156309"}, {"ref": "stpeteishii/lmsys-keywords-torch-roberta-for-submission", "kernel_id": "62958982"}, {"ref": "stpeteishii/lmsys-prompt-response-words-keybert", "kernel_id": "62946293"}, {"ref": "stpeteishii/lmsys-keywords-torch-roberta", "kernel_id": "62950556"}, {"ref": "palash97/gemma-2-9b-part1-prompt-engineering", "kernel_id": "62127892"}, {"ref": "wajahat1064/finally-got-it-through-tfbertmodel", "kernel_id": "62980717"}, {"ref": "achievement/llama-3-8b-tpu-train", "kernel_id": "62368797"}, {"ref": "achievement/llama-3-8b-38-faster-inference", "kernel_id": "62779108"}, {"ref": "sayoulala/merge-gemma-model-step1", "kernel_id": "62032418"}, {"ref": "zhoumichael/sft-llama-31-8b-inference", "kernel_id": "62791067"}, {"ref": "jitenderswami/generation-lmsys-gemma2", "kernel_id": "62907699"}, {"ref": "jitenderswami/training-custom-lmsys-classifier", "kernel_id": "62854932"}, {"ref": "jitenderswami/inference-lmsys-gemma-9b", "kernel_id": "62805678"}, {"ref": "chrisjm80/lmsys-xgb-baseline", "kernel_id": "62165201"}, {"ref": "leetolo/lmsys-luck-simulator-random-output-submission", "kernel_id": "62836384"}, {"ref": "leetolo/random-binary-output-submission", "kernel_id": "62833925"}, {"ref": "hugowjd/lmsys-qwen-2-qlora-inference-baseline", "kernel_id": "62255286"}, {"ref": "virajkadam/sota-bert-reward-model-baseline", "kernel_id": "62442950"}, {"ref": "architsinghai/lmsys-gemma2-lgb", "kernel_id": "62166080"}, {"ref": "tonnguynkhc/training-llama3-8b-4-bit-qlora-sft", "kernel_id": "62590809"}, {"ref": "lintongdai/chatbot-inference-phi3", "kernel_id": "62684941"}, {"ref": "pauloand/lmsys-modelsboost", "kernel_id": "62413757"}, {"ref": "somesh88/training-nvidia-mistral-nemo-4-bit-qlora-sft", "kernel_id": "62583133"}, {"ref": "leaonwang/pet-infer", "kernel_id": "62322834"}, {"ref": "vrshyamsunder/inference-gemma-2-9b-4-bit-qlora", "kernel_id": "62069041"}, {"ref": "quochungchiem/dl-final", "kernel_id": "62601001"}, {"ref": "quochungchiem/lstmxcnn", "kernel_id": "62976041"}, {"ref": "argozero01/inference-phi-3-mini-4k-instruct", "kernel_id": "62921185"}, {"ref": "argozero01/parallel-train-phi-3-mini-4k-instruct", "kernel_id": "62853401"}, {"ref": "neilus/lmsys-pip", "kernel_id": "62081614"}, {"ref": "neilus/from-9400-gemma-2-tpu-train", "kernel_id": "62624210"}, {"ref": "neilus/gemma-2-tpu-train", "kernel_id": "62605529"}, {"ref": "neilus/from-20400-gemma-2-tpu-train", "kernel_id": "62842837"}, {"ref": "neilus/from-19200-gemma-2-tpu-train", "kernel_id": "62840417"}, {"ref": "huangshibao/internlm2-reward", "kernel_id": "62739634"}, {"ref": "zhdonas/lmsys-training", "kernel_id": "62414738"}, {"ref": "jatinsinghsagoi/inference-gemma-2-9b-4-bit-qlora", "kernel_id": "62763678"}, {"ref": "pranshubahadur/inference-tf-gemma-2-9b-lmsys", "kernel_id": "62446801"}, {"ref": "pranshubahadur/tf-gemma-2-9b-lmsys-training-tpu", "kernel_id": "62380871"}, {"ref": "mehyarmlaweh/lmsys-testing-bert", "kernel_id": "62875651"}, {"ref": "faykudbq/18th-inference-gemma2-max-length-2100-tta", "kernel_id": "62080497"}, {"ref": "mr0106/lcahpp", "kernel_id": "62699124"}, {"ref": "anushkacodergirl/lmsys-chatbotarenahumanpreferencepredictions", "kernel_id": "62581679"}, {"ref": "xiaoa1sy/gemma-2", "kernel_id": "62402763"}, {"ref": "nithinreddy90/fantasy-battle-simulator-data-processing-and-model", "kernel_id": "62254998"}, {"ref": "cosheimil/text-stat", "kernel_id": "62483849"}, {"ref": "cosheimil/deberta-train-classification", "kernel_id": "62599411"}, {"ref": "cosheimil/qa-bert", "kernel_id": "62147924"}, {"ref": "bhanupratapbiswas/chatbot-arena-human-preference-predictions-01", "kernel_id": "62411897"}, {"ref": "bhanupratapbiswas/chatbot-arena-human-preference-predictions", "kernel_id": "62389946"}, {"ref": "bhanupratapbiswas/lmsys", "kernel_id": "62635504"}, {"ref": "bhanupratapbiswas/lmsys-chatbot", "kernel_id": "62638749"}, {"ref": "rahmakallel/lmsys-xgb", "kernel_id": "62014595"}, {"ref": "rahmakallel/lmsys-gte", "kernel_id": "62027976"}, {"ref": "qinhaoyang/training-gemma-2-9b-4-bit-qlora-72k-data", "kernel_id": "62075603"}, {"ref": "jaejohn/lmsys-combine-gemma-2-9b-llama-3-8b", "kernel_id": "62803687"}, {"ref": "shelterw/sft-llama-3-1-8b-instruct-inference", "kernel_id": "62477629"}, {"ref": "shelterw/training-llama3-8b-4-bit-qlora-sft", "kernel_id": "62498245"}, {"ref": "qamarmath/neural-networks-for-chatbot-preference-prediction", "kernel_id": "62544578"}, {"ref": "natu2003/submit-lmsys-competition", "kernel_id": "62119459"}, {"ref": "natu2003/lmsys-tokenize-by-qwen2-lstm-mix-cnn", "kernel_id": "62119479"}, {"ref": "natu2003/lmsys-lstm-mix-cnn-gpu-train", "kernel_id": "62089628"}, {"ref": "embeddedravi/gemma-instruct-2b-lmsys-training-tpu", "kernel_id": "62647834"}, {"ref": "dlondmike/gemma-2-9b-train", "kernel_id": "62008494"}, {"ref": "raja6242/lmsys-ai-chat-evaluator-enhancing-human-ai", "kernel_id": "62084985"}, {"ref": "quangtrandinh/lmsys-chatbot", "kernel_id": "62331070"}, {"ref": "sudhanvahg/chatbot-arena", "kernel_id": "62343336"}, {"ref": "muranokodai/lmsys-1", "kernel_id": "62005221"}, {"ref": "roschildrui/tta-gemma-2-9b-4-bit-qlora", "kernel_id": "62697837"}, {"ref": "venkyvishnudas/llm-response-predict", "kernel_id": "62397595"}, {"ref": "kurocnguyen/inference-gemma-2-9b-8-bit-qlora", "kernel_id": "62692091"}, {"ref": "ggjhkjgd/inference-gemma-2-9b-4-bit-qlora", "kernel_id": "62379436"}, {"ref": "buihifdty/inference-gemma-2-9b-4-bit-qlora", "kernel_id": "62979374"}, {"ref": "philippsinger/psinger-cool-crab-v4-rev-ff", "kernel_id": "63009723"}, {"ref": "philippsinger/cool-crab-v44-rev-ff-sub", "kernel_id": "63023081"}, {"ref": "tascj0/lmsys-0805", "kernel_id": "63448947"}, {"ref": "mohamedkhamis/faster-training-llama3-1-8b-4-bit-qlora", "kernel_id": "63018410"}, {"ref": "conjuring92/lmsys-3rd-place-submission", "kernel_id": "63463043"}, {"ref": "tendulkarlabs/xgboostsubmission", "kernel_id": "63440270"}, {"ref": "stpeteishii/lmsys-torch-roberta-for-submission", "kernel_id": "63634379"}, {"ref": "stpeteishii/lmsys-torch-roberta", "kernel_id": "63602172"}, {"ref": "achievement/lmsys-llama3-8b-chat-gemma2-updated", "kernel_id": "63535337"}, {"ref": "sayoulala/v7-gemma-gptq", "kernel_id": "63345256"}, {"ref": "zhoumichael/fork-of-inference-gemma2-9b-4-bit-qlora-prompt-c", "kernel_id": "63361860"}, {"ref": "muhammadnadhifn/lmsys-chatbot-preference-predictions-dnn", "kernel_id": "63329453"}, {"ref": "lintongdai/ci-gemma2", "kernel_id": "63134671"}, {"ref": "nabojyotipandey/dual-model-inference-gemma2-9b-llama3-8b", "kernel_id": "63027971"}, {"ref": "nikhiltumbde/v10-2-lmsys-inference-gemma9b-4b", "kernel_id": "63130555"}, {"ref": "nikhiltumbde/v13-3-inference-gemma-2-ts-tokenize-danube", "kernel_id": "63441531"}, {"ref": "ghermanb/llama-3-1-8int-fine-tined", "kernel_id": "63479838"}, {"ref": "phongquc/inference-llama", "kernel_id": "63477112"}, {"ref": "prmukesh/notebook4892a907bb", "kernel_id": "63117420"}, {"ref": "krishd123/llama-3-8b-tpu-training-for-lmsys", "kernel_id": "63339411"}, {"ref": "shweta0812/lmsys-sol-llm-based-inference-using-vllm", "kernel_id": "63023119"}, {"ref": "leonyiyi/fork-of-lmsys-detailed-eda", "kernel_id": "63514586"}, {"ref": "shamiks/resumed-training-and-eval-qwen-2-7b-4bit-qlora", "kernel_id": "63067787"}, {"ref": "natu2003/fine-tuning-gemma2", "kernel_id": "63482591"}, {"ref": "dlondmike/i-like-it", "kernel_id": "63435654"}, {"ref": "dlondmike/great-competition-make-me-hapi", "kernel_id": "63415976"}, {"ref": "duohanwang/inference-gemma-2-9b-4-bit-qlora-6b251d", "kernel_id": "63013207"}, {"ref": "matthewhendricks/embedding-visualization-suite", "kernel_id": "63482986"}, {"ref": "matthewhendricks/prompt-engineering-interface-00", "kernel_id": "63440168"}, {"ref": "matthewhendricks/in-notebook-dataset-loading-interface", "kernel_id": "63381003"}, {"ref": "twotreetkfm/lmsys-llama-3-8b-train", "kernel_id": "63021397"}, {"ref": "nguyentoanhcmus/lmsys-final-version", "kernel_id": "63311350"}, {"ref": "mehranshafique/notebookdebertav3", "kernel_id": "63075962"}, {"ref": "phttrnhi/gemma-tf-idf-length", "kernel_id": "63395992"}, {"ref": "cdeotte/16th-place-train-1-of-3", "kernel_id": "64154289"}, {"ref": "cdeotte/16th-place-quantize-2-of-3", "kernel_id": "64154768"}, {"ref": "cdeotte/16th-place-infer-3-of-3", "kernel_id": "64154879"}, {"ref": "tnphttrn/lmsys-02", "kernel_id": "64348543"}, {"ref": "ninhnguyenquoc/llmsys-ninh-rm-02", "kernel_id": "64708355"}, {"ref": "vijayravichander/lmsys-gemma-9b-it-fine-tuned", "kernel_id": "64919654"}, {"ref": "tianhao0814/26th-training-gemma-2-9b-4-bit-qlora-fine-tuning", "kernel_id": "64066379"}, {"ref": "tianhao0814/26th-inference-gemma-2-9b-2-model-tta", "kernel_id": "64065647"}, {"ref": "kishanvavdara/21st-place-human-bias-2-x-gemma-9b-4096-len", "kernel_id": "64063949"}, {"ref": "dhlongg/hcmus-ninfen-qwen2-1-5b-unsloth-finetuning", "kernel_id": "64935495"}, {"ref": "duongtruongbinh/lmsys-kerasnlp", "kernel_id": "64892772"}, {"ref": "fufu2022/inference-gemma2-9b-pl-v26", "kernel_id": "64282595"}, {"ref": "davidgromero/lmsys-cba-reddgr-scbn-rqtl-v1", "kernel_id": "64129685"}, {"ref": "hcmuscolab/hcmus-skynet", "kernel_id": "64306086"}, {"ref": "neilus/inference-gemma2-9b-it", "kernel_id": "65250644"}, {"ref": "akashgunturu/training-gemma-2-9b-4-bit-qlora-fine-tuning", "kernel_id": "65035473"}, {"ref": "chenxucool/training-gemma-2-9b-4-bit-qlora-fine-tuning", "kernel_id": "65882363"}, {"ref": "chenxucool/inference-gemma-2-9b-4-bit-qlora", "kernel_id": "65995676"}, {"ref": "vijayravichanderusc/lmsys-gemma-9b-it-infer", "kernel_id": "65212349"}, {"ref": "vijayravichanderusc/lmsys-gemma-9b-it-train", "kernel_id": "65138114"}, {"ref": "seguride/123rd-inference-gemma-2-9b-it-4-bit-with-lora", "kernel_id": "65284617"}, {"ref": "seguride/123rd-training-gemma-2-9b-it-4-bit-with-lora", "kernel_id": "65287120"}, {"ref": "danh333/ninfen-lmsys-sheared-llama", "kernel_id": "65006007"}, {"ref": "anonsecteam/notebook8d0641ac37", "kernel_id": "65145564"}, {"ref": "haotang95/infer-34b-with-vllm", "kernel_id": "65985019"}, {"ref": "salmarashwan/evaluating-chatbot-responses-using-ml-techniques", "kernel_id": "66522850"}, {"ref": "gusthema/lmsys-kerasnlp-starter", "kernel_id": "67853743"}, {"ref": "rvdrdx/inference-llama-3-8b", "kernel_id": "68602477"}, {"ref": "tsr564/mixtral-experiment", "kernel_id": "68091935"}, {"ref": "abhkaushik1/inference-gemma-2-9b-4-bit-qlora", "kernel_id": "68507713"}, {"ref": "twinklewill/training-sft-eedi-gemma-2-finetune", "kernel_id": "68376154"}, {"ref": "abdulraqibomotosho/gemma-on-chatbot-arena", "kernel_id": "69166169"}, {"ref": "snehachalla/inference-llama-3-8b-super-fast-version1", "kernel_id": "71426993"}, {"ref": "snehachalla/inference-llama-3-8b", "kernel_id": "71352499"}, {"ref": "alfazick/less-is-more", "kernel_id": "71817479"}, {"ref": "albert2017/new-pip-awq2", "kernel_id": "71387097"}, {"ref": "motono0223/training-gemma-2-9b-4-bit-qlora-fine-tuning-fixed", "kernel_id": "71224866"}, {"ref": "gaoyeechen/chatbot-data-visualization-and-analysis", "kernel_id": "71743641"}, {"ref": "shelterw/extra-dataset-process", "kernel_id": "72770042"}, {"ref": "seifamgad/training-gemma-2-9b-4-bit-qlora-fine-tuning-fixed", "kernel_id": "72082974"}, {"ref": "laythabuarramm/layth-gemma-2-9b-4-bit-qlora", "kernel_id": "72563641"}, {"ref": "liufenghao/16th-place-train-1-of-3-modified", "kernel_id": "73847333"}, {"ref": "liufenghao/16th-place-infer-3-of-3", "kernel_id": "74948039"}, {"ref": "vanshikagupta1136/baseimage-for-llm-finetuing-pipeline", "kernel_id": "76708120"}, {"ref": "onnoboru/lmsys-baseline", "kernel_id": "76514614"}, {"ref": "althariqfairuz/chatbot-arena-human-preference-predictions", "kernel_id": "77846995"}, {"ref": "malijarkas/distilbert-train-pipeline", "kernel_id": "79524883"}, {"ref": "matthewband/distilbert-train-pipeline-bert-categories-pipeline", "kernel_id": "79652259"}, {"ref": "arnavkaushik23/lmsys-ak", "kernel_id": "79693178"}, {"ref": "yeoyunsianggeremie/lmsys-aggregation", "kernel_id": "81966462"}, {"ref": "blueinthe/training-gemma-2-9b-4-bit-qdora-fine-tuning", "kernel_id": "85942009"}, {"ref": "blueinthe/infer-gemma-9b-4bit", "kernel_id": "86087232"}, {"ref": "rcheong/train-teacher-model", "kernel_id": "94933332"}, {"ref": "carlmarco/lmsys-chatbot-arena", "kernel_id": "95396977"}, {"ref": "mustafaelkaranshawy/lmsys-0805", "kernel_id": "95618303"}, {"ref": "mustafaelkaranshawy/chatbot-arena-human-preference-predictions", "kernel_id": "95618599"}, {"ref": "matchanooo/hull-tactical-market-prediction", "kernel_id": "95220670"}, {"ref": "youtarek2002/lmsys-0805", "kernel_id": "97062746"}, {"ref": "itzwaylennn/lmsys", "kernel_id": "97921679"}, {"ref": "rcheong/fine-tune-inference-1", "kernel_id": "97841445"}, {"ref": "ourchatgpt2340/kat-ver-gemma-as-label-best-result", "kernel_id": "99203825"}, {"ref": "dingkk123/final-tta-gemma-2-9b-4-bit-qlora", "kernel_id": "101735746"}, {"ref": "youtarek2002/lmsys-0805-4f0df5", "kernel_id": "101449854"}, {"ref": "saiyanwarrior/creating-folds-lmsys", "kernel_id": "102406282"}, {"ref": "saiyanwarrior/train-lstm-lmsys", "kernel_id": "102406005"}, {"ref": "saiyanwarrior/training-rnn-lmsys", "kernel_id": "102657443"}, {"ref": "saiyanwarrior/infer-lstm-lmsys", "kernel_id": "102563384"}, {"ref": "saiyanwarrior/inference-rnn-lmsys", "kernel_id": "102949333"}, {"ref": "saiyanwarrior/eda-lmsys-chatbot-arena-human-preference", "kernel_id": "102923061"}, {"ref": "saiyanwarrior/training-5fold-lmsys", "kernel_id": "102950780"}, {"ref": "saiyanwarrior/inference-5fold-lmsys", "kernel_id": "102952296"}, {"ref": "lowenlw/tta-gemma-2-9b-4-bit-qlora", "kernel_id": "102473263"}, {"ref": "bahaakhaledeng2026/chatbot-arena-human-preference-predictions", "kernel_id": "102292386"}, {"ref": "cindy0501/nlp-final-deberta-lora", "kernel_id": "102848122"}, {"ref": "arthurw1935/lmsys-23bcs10038-inference", "kernel_id": "103821722"}, {"ref": "arthurw1935/lmsys-23bcs10038-gru", "kernel_id": "103822735"}, {"ref": "arthurw1935/lmsys-23bcs10038-lstm", "kernel_id": "103811392"}, {"ref": "arthurw1935/lmsys-23bcs10038-nfolds", "kernel_id": "103810315"}, {"ref": "arthurw1935/lmsys-23bcs10038-rnn", "kernel_id": "103810704"}, {"ref": "kushagrakushagras/inference-10165", "kernel_id": "103879136"}, {"ref": "kushagrakushagras/training-10165", "kernel_id": "103875881"}, {"ref": "vinayakpaka/vinayak-paka-10118-inference-gru-lmsys", "kernel_id": "103819375"}, {"ref": "vinayakpaka/vinayak-paka-10118-training-gru-lmsys", "kernel_id": "103816030"}, {"ref": "hemkeshkantawala/lmsys-hemkesh-10040-rnn", "kernel_id": "103781400"}, {"ref": "hemkeshkantawala/lmsys-hemkesh-10040-inference", "kernel_id": "103816616"}, {"ref": "hemkeshkantawala/lmsys-hemkesh-10040-gru", "kernel_id": "103816051"}, {"ref": "hemkeshkantawala/lmsys-hemkesh-10040-lstm", "kernel_id": "103814210"}, {"ref": "youtarek2002/notebook", "kernel_id": "103525782"}, {"ref": "ishanavasthi/10042-ishan-inference-gru-lmsys", "kernel_id": "103875092"}, {"ref": "ishanavasthi/10042-ishan-creating-folds-lmsys", "kernel_id": "103875076"}, {"ref": "demonsheriff/inference-lmsys", "kernel_id": "103852842"}, {"ref": "manjarir/manjarirathore10192-inference-lmsys", "kernel_id": "103877366"}, {"ref": "manjarir/manjarirathore10192-creating-folds-lmsys", "kernel_id": "103859782"}, {"ref": "manjarir/manjarirathore10192-training-gru-lmsys", "kernel_id": "103860328"}, {"ref": "manan21st/10206-manan-training", "kernel_id": "103862524"}, {"ref": "manan21st/kfolds", "kernel_id": "103860908"}, {"ref": "manan21st/10206-manan-inference", "kernel_id": "103875248"}, {"ref": "sidj09/10103-siddham-training-5fold-lmsys", "kernel_id": "103860664"}, {"ref": "sidj09/10103-siddham-creating-folds-lmsys", "kernel_id": "103860368"}, {"ref": "sidj09/10103-siddham-inference-gru-lmsys", "kernel_id": "103866231"}, {"ref": "ayaankhan2812/10029-ayaankhan-inference", "kernel_id": "103870018"}, {"ref": "ayaankhan2812/10029-ayaankhan-training", "kernel_id": "103869884"}, {"ref": "dakshkanaujia/23bcs10089-dakshkanaujia-inferencelmsys", "kernel_id": "103867118"}, {"ref": "dakshkanaujia/23bcs10089-dakshkanaujia-traininglmsys", "kernel_id": "103852727"}, {"ref": "dakshkanaujia/23bcs10089-creating-folds-lmsys", "kernel_id": "103852256"}, {"ref": "suryanshshakya/inference-lmsys", "kernel_id": "103834512"}, {"ref": "suryanshshakya/eda-n-folds-lmsys", "kernel_id": "103828707"}, {"ref": "suryanshshakya/training-gru-lmsys", "kernel_id": "103830254"}, {"ref": "abhishek13may/10065-abhishek-inference-rnn-lmsys", "kernel_id": "103877599"}, {"ref": "abhishek13may/10065-abhishek-training-5fold-lmsys", "kernel_id": "103833884"}, {"ref": "kauxp26/23bcs10189-paramjeet-inference-lmsys", "kernel_id": "103834755"}, {"ref": "kauxp26/23bcs10189-paramjeet-training-lmsys", "kernel_id": "103834836"}, {"ref": "kauxp26/23bcs10189-paramjeet-kfold-lmsys", "kernel_id": "103831161"}, {"ref": "riyabhurse/23bcs10187-riya-bhurse-inference", "kernel_id": "103876965"}, {"ref": "riyabhurse/23bcs10187-riya-bhurse-training", "kernel_id": "103876757"}, {"ref": "amanyadav207/inference-rnn-lmsys-ca7658", "kernel_id": "103871841"}, {"ref": "amanyadav207/10055-aman-creating-folds-lmsys", "kernel_id": "103870500"}, {"ref": "amanyadav207/10055-aman-yadav-training-5fold-lmsys", "kernel_id": "103870534"}, {"ref": "siddharthbaleja/23bcs10161-siddharth-baleja-traning-lmsys", "kernel_id": "103866016"}, {"ref": "siddharthbaleja/23bcs10161-siddharth-baleja-inference-lmsys", "kernel_id": "103866059"}, {"ref": "mayankvashishtt/10177-mayank-vashisht-gru-training-lmsys", "kernel_id": "103854153"}, {"ref": "mayankvashishtt/10177-mayank-vashisht-creating-folds-lmsys", "kernel_id": "103853598"}, {"ref": "swarnim114/10139-swarnim-inference", "kernel_id": "103856542"}, {"ref": "swarnim114/10139-swarnim-training", "kernel_id": "103849452"}, {"ref": "swarnim114/10139-lstm-lmsys", "kernel_id": "103846753"}, {"ref": "swarnim114/10139-creating-folds-lmsys", "kernel_id": "103845586"}, {"ref": "swarnim114/swarnim-10139-eda-lmsys", "kernel_id": "103843759"}, {"ref": "barrybyte/23bcs10181-abhayraj-training-gru-lmsys", "kernel_id": "103853318"}, {"ref": "barrybyte/23bcs10181-abhayraj-inference-gru-lmsys", "kernel_id": "103860711"}, {"ref": "bahaakhaledeng2026/notebook", "kernel_id": "103881581"}, {"ref": "aryanbeethoven/10080-aryan-training-lmsys", "kernel_id": "103871488"}, {"ref": "aryanbeethoven/10080-aryan-inference-lmsys", "kernel_id": "103871501"}, {"ref": "thetallinnov8r/10121-yash-agarwal-training-gru-lmsys", "kernel_id": "103826769"}, {"ref": "thetallinnov8r/10121-yash-agarwal-inference-gru-lmsys", "kernel_id": "103876900"}, {"ref": "itswasp/training-gru-lmsys", "kernel_id": "103292288"}, {"ref": "itswasp/inference-lmsys-rnn", "kernel_id": "103153533"}, {"ref": "itswasp/creating-folds-lmsys", "kernel_id": "103151336"}, {"ref": "itswasp/training-lmsys-rnn", "kernel_id": "103151979"}, {"ref": "dar4devil/10170-aarya-inference-lmsys", "kernel_id": "103879449"}, {"ref": "dar4devil/10170-aarya-training-lmsys", "kernel_id": "103876144"}, {"ref": "mustafaelkaranshawy/notebook", "kernel_id": "103373710"}, {"ref": "harshpancha1/10087-harsh-kumar-panchal-training-gru", "kernel_id": "103871079"}, {"ref": "harshpancha1/10087-harsh-kumar-panchal-inference-gru", "kernel_id": "103871441"}, {"ref": "prathmeshbhardwaj/10025-prathmesh-bhardwaj-training-lmsys", "kernel_id": "103864559"}, {"ref": "prathmeshbhardwaj/10025-prathmesh-bhardwaj-inference-lmsys", "kernel_id": "103872657"}, {"ref": "vatsal3064/vatsal-23bcs10101-training-lmsys", "kernel_id": "103868991"}, {"ref": "godharsh/creating-folds-lmsys", "kernel_id": "103840542"}, {"ref": "godharsh/10066-harsh-kumar-training-lmsys", "kernel_id": "103840839"}, {"ref": "godharsh/10066-harsh-kumar-inference-lmsys", "kernel_id": "103843132"}, {"ref": "spoorthymadasu/10144-spoorthy-madasu-inference", "kernel_id": "103266634"}, {"ref": "spoorthymadasu/10144-spoorthy-madasu-training", "kernel_id": "103859106"}, {"ref": "medhashree1707/10049-medha-shree-inference-5-fold-lmsys-gru", "kernel_id": "103875055"}, {"ref": "medhashree1707/10049-medha-shree-training-5-folds-lmsys", "kernel_id": "103846891"}, {"ref": "noorainsyeda/23bcs10221-syedanoorain-inference-lmsys", "kernel_id": "103371898"}, {"ref": "noorainsyeda/23bcs10221-syedanoorain-training-lmsys", "kernel_id": "103362116"}, {"ref": "noorainsyeda/10221-training-rnn-lstm-lmsys", "kernel_id": "103151897"}, {"ref": "noorainsyeda/creating-folds-lmsys-10221", "kernel_id": "103151258"}, {"ref": "ashwinsaklecha/ashwin-saklecha-10212-eda-lmsys", "kernel_id": "103863756"}, {"ref": "ashwinsaklecha/ashwin-saklecha-10212-creating-folds-lmsys", "kernel_id": "103866145"}, {"ref": "ashwinsaklecha/ashwin-saklecha-10212-training-5fold-lmsys", "kernel_id": "103866927"}, {"ref": "purvanshsahu/10169-purvansh-inference-gru", "kernel_id": "103863648"}, {"ref": "purvanshsahu/10169-purvansh-gru-training", "kernel_id": "103857580"}, {"ref": "uditkumarnayak/creating-folds-23bcs10159-udit-lmsys-chatbot", "kernel_id": "103151460"}, {"ref": "uditkumarnayak/23bcs10159-udit-inference-5fold-gru-lmsys-chatbot", "kernel_id": "103763061"}, {"ref": "uditkumarnayak/23bcs10159-udit-training-5fold-gru-lmsys-chatbot", "kernel_id": "103760677"}, {"ref": "kshirsagararjun/inference-lmsys-069761-23bcs10157", "kernel_id": "103877647"}, {"ref": "kshirsagararjun/training-lmsys-23bcs10157", "kernel_id": "103875786"}, {"ref": "nobitan0bi/10019-inference-rnn-lmsys", "kernel_id": "103871184"}, {"ref": "nobitan0bi/10019-training-rnn-lmsys", "kernel_id": "103870560"}, {"ref": "venkateshalampally/10095-venkatesh-creating-folds-lmsys", "kernel_id": "103465027"}, {"ref": "venkateshalampally/10095-venkatesh-inference-gru-lmsys", "kernel_id": "103814341"}, {"ref": "venkateshalampally/10095-venkatesh-gru-training-lmsys", "kernel_id": "103734166"}, {"ref": "ishita1406/10188-ishita-training-chatbot", "kernel_id": "103858628"}, {"ref": "ishita1406/10188-ishita-inference-chatbot", "kernel_id": "103866629"}, {"ref": "itsharshitgoel/harshitgoel10149-inference-lmsys", "kernel_id": "103873349"}, {"ref": "itsharshitgoel/eda-lmsys-chatbot-arena-human-preference", "kernel_id": "103848931"}, {"ref": "itsharshitgoel/creating-folds-lmsys", "kernel_id": "103849440"}, {"ref": "itsharshitgoel/training-5fold-lmsys", "kernel_id": "103849247"}, {"ref": "irisiri23/10166-suswetha-infer-gru-chatbot", "kernel_id": "103859031"}, {"ref": "irisiri23/10166-suswetha-train-gru-chatbot", "kernel_id": "103857692"}, {"ref": "vinaykumarchopra/10174-vinaykumarchopra-trainning-lmsys", "kernel_id": "103863865"}, {"ref": "vinaykumarchopra/10174-vinaykumarchopra-infer-lmsys", "kernel_id": "103869867"}, {"ref": "shrimaysomani/inference-gru-shrimay-23bcs10117", "kernel_id": "103826627"}, {"ref": "shrimaysomani/training-gru-shrimay-23bcs10117", "kernel_id": "103824773"}, {"ref": "shrimaysomani/lmsys-rnn-training-shrimay-23bcs10117", "kernel_id": "103813408"}, {"ref": "shrimaysomani/lmsys-inference-rnn-shrimay-23bcs10117", "kernel_id": "103809169"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-training-5fold-lmsys", "kernel_id": "103768708"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-inference-rnn-lmsys", "kernel_id": "103832459"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-creating-folds-lmsys", "kernel_id": "103152158"}, {"ref": "ajaisharan/ajai23bcs10154-creating-folds-lmsys", "kernel_id": "103151324"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-inference", "kernel_id": "103156441"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-traininig", "kernel_id": "103665150"}, {"ref": "shezamishal/10184-sheza-inference-chatbot", "kernel_id": "103875748"}, {"ref": "shezamishal/10184-sheza-train-chatbot", "kernel_id": "103859175"}, {"ref": "deysandip301/23bcs10114-sandip-dey-training-lmsys", "kernel_id": "103832083"}, {"ref": "deysandip301/training-5fold-lmsys-rnn-sandip-dey-23bcs10114", "kernel_id": "103831360"}, {"ref": "deysandip301/kfold-lmsys-sandip-dey-23bcs10114", "kernel_id": "103827100"}, {"ref": "deysandip301/23bcs10114-sandip-dey-inference-lmsys", "kernel_id": "103828092"}, {"ref": "deysandip301/training-5fold-lmsys-lstm-sandip-dey-23bcs10114", "kernel_id": "103830378"}, {"ref": "deysandip301/inference-5fold-lmsys-lstm-sandip-23bcs10", "kernel_id": "103974735"}, {"ref": "nareshkumarth/10006-naresh-training-gru-lmsys", "kernel_id": "103776859"}, {"ref": "nareshkumarth/10006-naresh-inference-gru-lmsys", "kernel_id": "103784256"}, {"ref": "harshsinghania04/10171-harshvardhansinghania-training-lmsys", "kernel_id": "103864863"}, {"ref": "harshsinghania04/10171-harshvardhansinghania-inference-lmsys", "kernel_id": "103870256"}, {"ref": "svgharsh983/10098-harshkumar-inference", "kernel_id": "103156072"}, {"ref": "svgharsh983/train-lstm-lmsys", "kernel_id": "103156138"}, {"ref": "sachannharshit/23bcs10134-inference-gru-lmsys", "kernel_id": "103868575"}, {"ref": "sachannharshit/23bcs10134-training-lmsys", "kernel_id": "103861709"}, {"ref": "sachannharshit/kfolds-23bcs10134-lmsys", "kernel_id": "103856246"}, {"ref": "satyamydv9/10198-satyamyadav-training-lmsys", "kernel_id": "103845167"}, {"ref": "satyamydv9/creating-folds-lmsys", "kernel_id": "103845375"}, {"ref": "satyamydv9/10198-satyamyadav-inference-lmsys", "kernel_id": "103864147"}, {"ref": "shrutiverma03/lmsys-eda", "kernel_id": "103844602"}, {"ref": "shrutiverma03/lmsys-gru", "kernel_id": "103863747"}, {"ref": "shrutiverma03/lmsys-lstm", "kernel_id": "103862373"}, {"ref": "shrutiverma03/10057-shruti-verma-inference-lmsys", "kernel_id": "103866080"}, {"ref": "shrutiverma03/lmsys-rnn", "kernel_id": "103858263"}, {"ref": "shrutiverma03/10057-shruti-verma-training-lmsys", "kernel_id": "103857200"}, {"ref": "adarshsinghtomar2004/creating-folds-lmsys", "kernel_id": "103871189"}, {"ref": "adarshsinghtomar2004/training-5fold-lmsys", "kernel_id": "103871237"}, {"ref": "adarshsinghtomar2004/inference-5fold-lmsys", "kernel_id": "103871669"}, {"ref": "diptihatwar/10033-dipti-hatwar-training", "kernel_id": "103818949"}, {"ref": "diptihatwar/10033-dipti-hatwar-inference", "kernel_id": "103821139"}, {"ref": "aatmikpanse/10082-aatmik-training-chatbot", "kernel_id": "103875715"}, {"ref": "aatmikpanse/10082-aatmik-inference-chatbot", "kernel_id": "103875980"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-inference-lmsys", "kernel_id": "103877034"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-kfolds-lmsys", "kernel_id": "103871031"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-training-lmsys", "kernel_id": "103871157"}, {"ref": "neeldholiya/lmsys-eda", "kernel_id": "103641365"}, {"ref": "neeldholiya/lmsys-lstm", "kernel_id": "103712864"}, {"ref": "neeldholiya/lmsys-rnn", "kernel_id": "103712404"}, {"ref": "neeldholiya/lmsys-n-folds", "kernel_id": "103711479"}, {"ref": "neeldholiya/lmsys-gru", "kernel_id": "103722040"}, {"ref": "neeldholiya/lmsys-inference", "kernel_id": "103722342"}, {"ref": "kartikdeshpande2810/inference-gru-lmsys-23bcs10141", "kernel_id": "103729741"}, {"ref": "kartikdeshpande2810/training-5fold-gru-lmsys-23bcs10141", "kernel_id": "103858799"}, {"ref": "divpandey/divyanshu-10085-gru-training", "kernel_id": "103858901"}, {"ref": "divpandey/divyanshu-10085-gru-inference", "kernel_id": "103868114"}, {"ref": "utkershbasnet/10105-utkersh-basnet-inference-rnn-lmsys", "kernel_id": "103868516"}, {"ref": "utkershbasnet/10105-utkersh-basnet-training-rnn-lmsys", "kernel_id": "103858507"}, {"ref": "zkk555/10020-sushant-inference-lmsys", "kernel_id": "103883974"}, {"ref": "zkk555/10020-sushant-training-lmsys", "kernel_id": "103878201"}, {"ref": "mahakjuriani/creating-folds-lmsys-10008-mahakjuriani", "kernel_id": "103153177"}, {"ref": "mahakjuriani/10008-mahakjuriani-inference", "kernel_id": "103757455"}, {"ref": "surajguduru/lmsys-10012-suraj-training", "kernel_id": "103167272"}, {"ref": "surajguduru/lmsys-10012-suraj-inference", "kernel_id": "103237360"}, {"ref": "tamix18/10133-tamanna-train-chatbot", "kernel_id": "103863378"}, {"ref": "tamix18/10133-tamanna-inference-chatbot", "kernel_id": "103863311"}, {"ref": "jenabishal/10096-bishaljena-inference-gru-lmsys", "kernel_id": "103877993"}, {"ref": "jenabishal/10096-bishaljena-training-5fold-lmsys", "kernel_id": "103877365"}, {"ref": "naitikjain921/10214-naitik-jain-train-lstm-lmsys", "kernel_id": "103888873"}, {"ref": "naitikjain921/10214-naitik-jain-creating-folds-lmsys", "kernel_id": "103874688"}, {"ref": "naitikjain921/10214-naitik-jain-inference-rnn-lmsys", "kernel_id": "103954871"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-inference-lmsys", "kernel_id": "103877294"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-training-lmsys", "kernel_id": "103871627"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-k-folds-lmsys", "kernel_id": "103871552"}, {"ref": "sanjanaynvsdl/10009-sanjana-inference", "kernel_id": "103873940"}, {"ref": "sanjanaynvsdl/10009-sanjana-training", "kernel_id": "103861944"}, {"ref": "adityasinghrajput45/10148-nfold-lmsys", "kernel_id": "103866480"}, {"ref": "adityasinghrajput45/10148-gru-lmsys", "kernel_id": "103867147"}, {"ref": "adityasinghrajput45/10148-inference-lmsys", "kernel_id": "103868848"}, {"ref": "shreshthaaa/10093-shreshtha-lmsys-training-rnn", "kernel_id": "103837772"}, {"ref": "shreshthaaa/10093-shreshtha-lmsys-training-lstm", "kernel_id": "103831295"}, {"ref": "shreshthaaa/10093-shreshtha-lmsys-inference", "kernel_id": "103832989"}, {"ref": "shreshthaaa/10093-shreshtha-lmsys-training-nfolds", "kernel_id": "103830283"}, {"ref": "shreshthaaa/10093-shreshtha-lmsys-training-gru", "kernel_id": "103830752"}, {"ref": "atharvsanjayjain/23bcs10113-atharvsanjayjain-training", "kernel_id": "103872908"}, {"ref": "atharvsanjayjain/23bcs10113-atharvsanjayjain-inference", "kernel_id": "103877508"}, {"ref": "dpk9465/10092-deepak-inference-lstm-lmsys", "kernel_id": "103729929"}, {"ref": "vijaygauravkummetha/10003-vijay-training-gru-lmsys", "kernel_id": "103770326"}, {"ref": "vijaygauravkummetha/10003-vijay-inference-rnn-lmsys", "kernel_id": "103781759"}, {"ref": "abdelrhmandeif/training-gemma-2-9b-4-bit-qlora-fine-tuning-fixed", "kernel_id": "103116486"}, {"ref": "ayushkesharwani2605/training-5fold-lmsys-ayush23bcs10112", "kernel_id": "103874988"}, {"ref": "ayushkesharwani2605/inference-rnn-lmsys-ayush23bcs10112", "kernel_id": "103877038"}, {"ref": "linjingtingp76131220/19th-place-infer-error-case", "kernel_id": "103311757"}, {"ref": "ashwinsaklecha/ashwin-saklecha-10212-inference-gru-lmsys", "kernel_id": "104066515"}, {"ref": "mahakjuriani/10008-mahak-juriani-gru-training", "kernel_id": "104765799"}, {"ref": "chingyong99/lmsys-ncku-t04", "kernel_id": "105271858"}, {"ref": "mustafaelkaranshawy/simpo-notebook", "kernel_id": "105424048"}, {"ref": "osamahosny/weighted-loss-notebook-07d37e", "kernel_id": "105934965"}, {"ref": "olllllivia/deberta-lora", "kernel_id": "105214056"}, {"ref": "yousseftarekhussein/weighted-loss-notebook", "kernel_id": "105736825"}, {"ref": "lailamohamedd/weighted-loss-notebook", "kernel_id": "105845789"}, {"ref": "seydaaoztop/dual-model-inference-gemma2-9b-llama3-8b", "kernel_id": "106698742"}, {"ref": "youtarek2002/weighted-loss-notebook-07d37e", "kernel_id": "106110671"}, {"ref": "yousseftarekhussein/weighted-loss-notebook-07d37e", "kernel_id": "106181653"}, {"ref": "mustafaelkaranshawy/notebook79ca6ad5fe", "kernel_id": "107361649"}, {"ref": "mlayank/10069-mayank-gupta-lmsys-training", "kernel_id": "107822411"}, {"ref": "mlayank/10069-mayank-gupta-lmsys-inference", "kernel_id": "107822446"}, {"ref": "jiyasinghal20/lstm-lmsys", "kernel_id": "107934283"}, {"ref": "jiyasinghal20/eda-lmsys", "kernel_id": "107859209"}, {"ref": "jiyasinghal20/n-folds-lmsys", "kernel_id": "107860059"}, {"ref": "jiyasinghal20/rnn-lmsys", "kernel_id": "107860338"}, {"ref": "jiyasinghal20/10043-jiya-singhal-training-lmsys", "kernel_id": "107870978"}, {"ref": "shuyiucas/inference", "kernel_id": "107261367"}, {"ref": "demonsheriff/23bcs10217-anant-shukla-training", "kernel_id": "108784864"}, {"ref": "abhinav2696/10047-abhinav-inference-gru-lmsys", "kernel_id": "108792036"}, {"ref": "abhinav2696/10047-abhinav-training-gru-lmsys", "kernel_id": "108789898"}, {"ref": "ddevmhrn/10209-debashis-train-lmsys", "kernel_id": "108782791"}, {"ref": "ddevmhrn/debashis-10209-rnn-lmsys", "kernel_id": "108785634"}, {"ref": "vatsal3064/10101-vatsalomar-inference-rnn-lmsys", "kernel_id": "108786162"}, {"ref": "yashrajml/10102-yashraj-training-lmsys", "kernel_id": "108709209"}, {"ref": "yashrajml/10102-yashraj-inference-lmsys", "kernel_id": "108716569"}, {"ref": "purabray/10196-purab-ray-inferrence", "kernel_id": "108691468"}, {"ref": "purabray/10196-purabray-training", "kernel_id": "108676229"}, {"ref": "ayaanali6786/10094-syedayaanali-inference", "kernel_id": "108791611"}, {"ref": "ayaanali6786/10094-syedayaanali-training", "kernel_id": "108791621"}, {"ref": "sarthakpandeyhere/23bcs10179-sarthakpandey-training-5fold-lmsys", "kernel_id": "108315665"}, {"ref": "sarthakpandeyhere/23bcs10179-sarthakpandey-inference-rnn-lmsys", "kernel_id": "108319478"}, {"ref": "omwaghchavare/10142-omwaghchavare-inference", "kernel_id": "108760260"}, {"ref": "omwaghchavare/10142-omwaghchavar-training", "kernel_id": "108748914"}, {"ref": "devharshkumar77/10116-harshkumar-inference-lmsys", "kernel_id": "108782561"}, {"ref": "devharshkumar77/10116-harshkumar-training-lmsys", "kernel_id": "108782282"}, {"ref": "suryanshai/10167-suryansh-dubey-inference-lmsys", "kernel_id": "108780072"}, {"ref": "aayushkhopade/10050-inference-5fold-lmsys", "kernel_id": "108788201"}, {"ref": "aayushkhopade/10050-training-5fold-lmsys", "kernel_id": "108785773"}, {"ref": "jiyasinghal20/10043-jiya-singhal-inference-lmsys", "kernel_id": "108067268"}, {"ref": "dpk9465/10092-deepak-training-gru-lmsys", "kernel_id": "108774207"}, {"ref": "dpk9465/10092-deepak-creating-folds-lmsys", "kernel_id": "108774212"}, {"ref": "harsh3446/10021-harshkumar-inference-lmsys", "kernel_id": "108783627"}, {"ref": "harsh3446/10021-harshkumar-training-lmsys", "kernel_id": "108781969"}, {"ref": "kushivaradaraj27/gru-lmsys-chatbot-arena", "kernel_id": "108098349"}, {"ref": "kushivaradaraj27/10035-kushi-inference", "kernel_id": "108099017"}, {"ref": "samirmidris/building-a-unified-ai-brain-gpt-gemini-copilot", "kernel_id": "110823366"}, {"ref": "tongxuanvu/tlhdc", "kernel_id": "111315121"}, {"ref": "moustafalinea/lmsys-chatbot-arena-inference", "kernel_id": "114391163"}, {"ref": "moustafalinea/lmsys-group1-deberta-lgbm", "kernel_id": "114692967"}, {"ref": "moustafalinea/lmsys-group2-qwen-lora", "kernel_id": "114692786"}, {"ref": "bahaakhaledeng2026/notebook424098c313", "kernel_id": "116767213"}, {"ref": "mustafaelkaranshawy/submission-notebook", "kernel_id": "116587477"}, {"ref": "zynptkn06/lmsys-chatbot-arena-human-preference-predictions", "kernel_id": "116438502"}, {"ref": "sahil2604singh/mini-5", "kernel_id": "119026235"}, {"ref": "abdelrhmandeif/inference-gemma-2-9b-4-bit-qlora-tr", "kernel_id": "120365127"}, {"ref": "sakshiladkat/llm-finetune", "kernel_id": "123419478"}, {"ref": "ctpelokcorp/infer-34b-with-vllm", "kernel_id": "132643005"}, {"ref": "manuelgagofernandez/notebook7d844e15d4", "kernel_id": "134580080"}]}
{"competition_id": "66653", "kernels": [{"ref": "leehann/piidd-inference", "kernel_id": "35582043"}, {"ref": "snassimr/pii-data-detection-eda", "kernel_id": "49977295"}, {"ref": "smsrikanthreddy/pii-eda-starter", "kernel_id": "49862907"}, {"ref": "seshurajup/pii-eda", "kernel_id": "49603945"}, {"ref": "seshurajup/pii-bio-detection-with-presidio-regex", "kernel_id": "49658646"}, {"ref": "seshurajup/pii-pos-tag-analysis-don-t-miss-proper-nouns", "kernel_id": "49723669"}, {"ref": "naoufal51/notebook-on-calculating-f5-score-for-pii-detection", "kernel_id": "49930041"}, {"ref": "evilpsycho42/llamacpp-mixtral-8x7b-instruct-v0-1-q4-k-m", "kernel_id": "49702104"}, {"ref": "ryanholbrook/pii-detection-efficiency-lb", "kernel_id": "49223622"}, {"ref": "busratekin/pii-exploratory-data-analysis", "kernel_id": "49969102"}, {"ref": "jazivxt/ocean-perl", "kernel_id": "49970356"}, {"ref": "nakayamar/spacy-ner-visualization-of-train-text", "kernel_id": "49632838"}, {"ref": "sinchir0/visualization-code-using-displacy", "kernel_id": "49951214"}, {"ref": "stpeteishii/pii-detection-json-to-csv", "kernel_id": "49834604"}, {"ref": "waelr1985/pii-students", "kernel_id": "49955574"}, {"ref": "amedprof/pii-evaluation-metric", "kernel_id": "49851455"}, {"ref": "leonshangguan/modify-of-pii-detect-study", "kernel_id": "49667642"}, {"ref": "mandrilator/pii-detection-parse-pii-masking-200k-50k", "kernel_id": "49921671"}, {"ref": "mpwolke/f-beta-score-json-path-or-buf", "kernel_id": "49647489"}, {"ref": "mpwolke/detect-personally-identifiable-information-pii", "kernel_id": "49600434"}, {"ref": "takanashihumbert/piidd-deberta-model-starter-inference", "kernel_id": "49968040"}, {"ref": "takanashihumbert/piidd-deberta-model-starter-training", "kernel_id": "49968602"}, {"ref": "emiz6413/1-pii-eda", "kernel_id": "49774051"}, {"ref": "emiz6413/rule-based-approach", "kernel_id": "49861505"}, {"ref": "dky7376/gpu-train-pii-detection-pipeline-deberta-v3", "kernel_id": "49628572"}, {"ref": "dky7376/gpu-infer-pii-detection-pipeline-deberta-v3", "kernel_id": "49632454"}, {"ref": "nbroad/transformer-ner-baseline-lb-0-881", "kernel_id": "49592539"}, {"ref": "columbia2131/aligning-offset-mapping-and-labels-in-transformers", "kernel_id": "49729229"}, {"ref": "kenjikonno/llm-distillbert-how-to-tune-up", "kernel_id": "49561323"}, {"ref": "kenjikonno/calculate-micro-beta", "kernel_id": "49931667"}, {"ref": "kenjikonno/pii-data-data-analysis", "kernel_id": "49870772"}, {"ref": "kenjikonno/pii-data-email-detection-with-high-f-beta", "kernel_id": "49954740"}, {"ref": "kenjikonno/pii-distillbert-training", "kernel_id": "49997227"}, {"ref": "robertturro/baseline-bert-with-pytorch", "kernel_id": "49856602"}, {"ref": "scr0ll0/modeling-pii-data-detection-cpu", "kernel_id": "49751943"}, {"ref": "scr0ll0/exploratory-data-analysis-pii-data-detection", "kernel_id": "49745575"}, {"ref": "shazzsamed/regex-using-regex-for-labels-other-than-name", "kernel_id": "49642640"}, {"ref": "amulyas/pii-data-detection-initial-eda", "kernel_id": "49604796"}, {"ref": "edwintyh/pii-starter-eda-visualization", "kernel_id": "49640488"}, {"ref": "mcpenguin/pii-detection-baseline-with-external-data", "kernel_id": "49713341"}, {"ref": "mcpenguin/eda-pii-detection-removal", "kernel_id": "49713644"}, {"ref": "leesakpark/part-1-exploratory-data-analysis", "kernel_id": "49752869"}, {"ref": "fritzcremer/map-tokens-to-a-different-tokenizer", "kernel_id": "49600167"}, {"ref": "bentorchakarim/pii-spacy-performance-analysis", "kernel_id": "49621984"}, {"ref": "bentorchakarim/pii-microsoft-presidio-get-started", "kernel_id": "49871989"}, {"ref": "thrvxxvrht/eda-on-pii-data", "kernel_id": "49742308"}, {"ref": "motono0223/presidio-dependencies", "kernel_id": "49724179"}, {"ref": "valentinwerner/fix-punctuation-tokenization-external-dataset", "kernel_id": "49796523"}, {"ref": "valentinwerner/more-eda-on-competition-training-data", "kernel_id": "49743803"}, {"ref": "timotheguy/explore-data-for-pii-data-detection-competion", "kernel_id": "49641958"}, {"ref": "pjmathematician/pii-bio-eda", "kernel_id": "49615934"}, {"ref": "pjmathematician/pii-eda-presidio-baseline", "kernel_id": "49595502"}, {"ref": "pjmathematician/pii-detection-mistral-7b-inference", "kernel_id": "49630717"}, {"ref": "steffking01/pii-sub", "kernel_id": "49930670"}, {"ref": "huihuihui12/pii-deberta-large-train", "kernel_id": "49967527"}, {"ref": "kazuyaa1105/create-train-dataframe-for-validation", "kernel_id": "49957207"}, {"ref": "akhiljethwa/pii-detection-analysis-anonymization", "kernel_id": "49681756"}, {"ref": "meraykl/pii-detection", "kernel_id": "49657457"}, {"ref": "karimfadi/pii-detection-data-analysis-csv", "kernel_id": "49950806"}, {"ref": "sasidharanm10/pii-data-detection", "kernel_id": "49693675"}, {"ref": "abrafey/eda-bilstm-crf", "kernel_id": "49717407"}, {"ref": "yunsuxiaozi/pii-detect-study-notebook", "kernel_id": "49621061"}, {"ref": "yunsuxiaozi/pii-detect-first-look", "kernel_id": "49616580"}, {"ref": "jdonnelly0804/pii-train", "kernel_id": "49994983"}, {"ref": "richolson/chatgpt-s-spacy-pii-detection-script", "kernel_id": "49719975"}, {"ref": "yoanpt/the-learning-agency-lab-nlp-filtering", "kernel_id": "49705996"}, {"ref": "jefersonpazze/eda-baseline-pii-data-detection", "kernel_id": "49625963"}, {"ref": "maxwellsteck/first-competition-pii-data-detection", "kernel_id": "49761011"}, {"ref": "malabhbakshi/pii-detect-study", "kernel_id": "49800268"}, {"ref": "sajjadfc13/a-beginner-s-visualization-o", "kernel_id": "49646094"}, {"ref": "taichiuemura/pii-first-view", "kernel_id": "49868512"}, {"ref": "taichiuemura/pii-spacy-test", "kernel_id": "49872389"}, {"ref": "taichiuemura/pii-email-and-url", "kernel_id": "49954896"}, {"ref": "ziinhopeful/deberta-small-training", "kernel_id": "49816873"}, {"ref": "subinek/dataset-explained", "kernel_id": "50465676"}, {"ref": "usharengaraju/roformer-w-b-training", "kernel_id": "50859317"}, {"ref": "jparchure/pii-detection-hyperparameter-search", "kernel_id": "50916886"}, {"ref": "jparchure/pii-detection-modeling-process-first-draft", "kernel_id": "50823974"}, {"ref": "nahman/validate-label-distribution", "kernel_id": "50119966"}, {"ref": "narsil/sophia-text-generator-tutorial-gpu", "kernel_id": "50220225"}, {"ref": "mpware/pii-topics", "kernel_id": "50730304"}, {"ref": "verracodeguacas/pii-rate-inference", "kernel_id": "50027038"}, {"ref": "verracodeguacas/piirate-training-camp", "kernel_id": "50003523"}, {"ref": "marangoz/piiratetrainingcamp-v1", "kernel_id": "50718618"}, {"ref": "chg0901/hong-pii-data-detection-eda", "kernel_id": "50049530"}, {"ref": "quincyqiang/how-to-reverse-bio-tags-to-entities", "kernel_id": "50247519"}, {"ref": "quincyqiang/basic-text-eda", "kernel_id": "50212056"}, {"ref": "ablambe/pii-data-detection-eda", "kernel_id": "50239673"}, {"ref": "zhangyue199/clean-code-debertav3base-training", "kernel_id": "50187638"}, {"ref": "hengzheng/pii-annotation-entities", "kernel_id": "50249470"}, {"ref": "siddharthsavant/pii-data-detection-inference", "kernel_id": "50248935"}, {"ref": "siddharthsavant/pii-data-detection-training", "kernel_id": "50302416"}, {"ref": "thedrcat/pii-data-detection-train-with-w-b", "kernel_id": "50703865"}, {"ref": "thedrcat/pii-data-detection-infer-with-w-b", "kernel_id": "50705248"}, {"ref": "thedrcat/pii-data-preparation-cv-stride-viz-and-w-b", "kernel_id": "50699918"}, {"ref": "decalogue/infer-ner-pii", "kernel_id": "50004737"}, {"ref": "dschettler8845/tlal-pii-data-detection-eda-learn-with-me", "kernel_id": "50747197"}, {"ref": "guillermoch/pii-data-detection-eda", "kernel_id": "50066291"}, {"ref": "guillermoch/pii-data-detection-baseline", "kernel_id": "50121377"}, {"ref": "linvia/zz-spacy-ner-eda", "kernel_id": "50053378"}, {"ref": "fhoughton/train-infer-llm-deberta-v3", "kernel_id": "50384377"}, {"ref": "olyatsimboy/912-blending-0-903-0-854-deberta3base", "kernel_id": "50073859"}, {"ref": "whopranshu/pii-an-ps", "kernel_id": "50108947"}, {"ref": "anidata/pii-data-detection-eda-ner", "kernel_id": "50260450"}, {"ref": "vinitkp/r-learningagencylab", "kernel_id": "50631135"}, {"ref": "vinitkp/piidd-deberta-model-starter-inference", "kernel_id": "50848843"}, {"ref": "vinitkp/pii-presidiobaseline", "kernel_id": "50889704"}, {"ref": "umar47/pii-detection-create-an-own-embedding-model", "kernel_id": "50306818"}, {"ref": "conjuring92/pii-metric-fine-grained-eval", "kernel_id": "50020092"}, {"ref": "conjuring92/pii-tokenizers", "kernel_id": "50097627"}, {"ref": "conjuring92/pii-mv01-aux", "kernel_id": "50685467"}, {"ref": "jazivxt/ocean-pearl-fast-scoring-starter", "kernel_id": "50120863"}, {"ref": "waelr1985/pii-student-v2", "kernel_id": "50083358"}, {"ref": "waelr1985/modify-of-pii-detect-study", "kernel_id": "50076130"}, {"ref": "waelr1985/pii-student-v4", "kernel_id": "50144676"}, {"ref": "waelr1985/pii-student-v3", "kernel_id": "50107862"}, {"ref": "waelr1985/pii-student-v5", "kernel_id": "50162351"}, {"ref": "mandrilator/pii-detection-inference-pii-masking-200k", "kernel_id": "50139478"}, {"ref": "tfukuda675/pii-1st-try-polars-eda", "kernel_id": "50437683"}, {"ref": "awsaf49/pii-data-detection-kerasnlp-starter-notebook", "kernel_id": "50896954"}, {"ref": "johnsonhk88/pii-data-detection-llm", "kernel_id": "50398661"}, {"ref": "kenjikonno/data-tokenization-for-deberta-model", "kernel_id": "50043654"}, {"ref": "kenjikonno/pii-model-distillbert-apply", "kernel_id": "50106619"}, {"ref": "kenjikonno/pii-model-performance-checker", "kernel_id": "50242402"}, {"ref": "deeprodge/checkpoint-1-deep-s-version", "kernel_id": "50678890"}, {"ref": "fernandosr85/pii-token-classification-models", "kernel_id": "50337413"}, {"ref": "sbafathima/notebook2834e41145", "kernel_id": "50093245"}, {"ref": "trex99/change-labels-column", "kernel_id": "50008483"}, {"ref": "trex99/case-2-change-labels-column", "kernel_id": "50191985"}, {"ref": "catchbat/inference-version1", "kernel_id": "50712518"}, {"ref": "codeaze/pii-data-detection-train", "kernel_id": "50090667"}, {"ref": "codeaze/0-893-pii-data-train", "kernel_id": "50163171"}, {"ref": "codeaze/pii-train-merged-data", "kernel_id": "50246422"}, {"ref": "arwani/pii-2-tanh", "kernel_id": "50342447"}, {"ref": "horizonbrix/deberta3base-inference-without-bio-labels", "kernel_id": "50069756"}, {"ref": "farisalahmdi/deberta-v3-large-inference", "kernel_id": "50153232"}, {"ref": "valentinwerner/915-deberta3base-training", "kernel_id": "50037319"}, {"ref": "valentinwerner/915-deberta3base-inference", "kernel_id": "50037365"}, {"ref": "valentinwerner/generation-label-specific-essays-by-7b-models", "kernel_id": "50617477"}, {"ref": "yiruiyin/pii-data-cleaning", "kernel_id": "50316591"}, {"ref": "vojtchslavk/pii-fbeta-metric", "kernel_id": "50099967"}, {"ref": "samuelvangorden/pii-detection-removal", "kernel_id": "50275011"}, {"ref": "pjmathematician/pii-external-data-creation-loading", "kernel_id": "50009585"}, {"ref": "arnavchakravarthy/random-baseline", "kernel_id": "50596628"}, {"ref": "uzairshafique/pii-detection-ensemble-deberta-ner", "kernel_id": "50698891"}, {"ref": "jounimoilanen/pii-detection-3", "kernel_id": "50401177"}, {"ref": "jounimoilanen/pii-detection-5", "kernel_id": "50682052"}, {"ref": "jounimoilanen/pii-detection-4", "kernel_id": "50578595"}, {"ref": "jounimoilanen/pii-detection-utilities", "kernel_id": "50591049"}, {"ref": "jounimoilanen/pii-detection-1", "kernel_id": "50621904"}, {"ref": "jounimoilanen/pii-detection-2", "kernel_id": "50622484"}, {"ref": "jounimoilanen/pii-detection-7", "kernel_id": "50767857"}, {"ref": "prokaggler22/pii-data-classification-eda", "kernel_id": "50226366"}, {"ref": "alinacram/pii-detect-inprocess", "kernel_id": "50143244"}, {"ref": "hashidoyuto/pii-data-detection-deberta-infer", "kernel_id": "50804021"}, {"ref": "hashidoyuto/compare-result-of-presidio-and-correct-labels", "kernel_id": "50755747"}, {"ref": "hashidoyuto/pii-data-detection-deberta-train", "kernel_id": "50760081"}, {"ref": "hashidoyuto/pii-data-detection-using-presidio", "kernel_id": "50409547"}, {"ref": "hashidoyuto/pii-data-detection-simple-eda", "kernel_id": "50231013"}, {"ref": "jyoti404/pii-eda-presidio-baseline", "kernel_id": "50395004"}, {"ref": "keremay/pii-removal", "kernel_id": "50314092"}, {"ref": "ucas0v0zhuoqunli/ppi-train", "kernel_id": "50144656"}, {"ref": "jackren000/piidatadetection-dataanalysis-submission", "kernel_id": "50963188"}, {"ref": "jackren000/piidatadetection-dataanalysis", "kernel_id": "50300380"}, {"ref": "shweta0812/pii-data-detection-using-presidio-analyzer", "kernel_id": "50210049"}, {"ref": "mgree164/pii-prediction-2", "kernel_id": "50034831"}, {"ref": "mgree164/912-blended-with-annotations", "kernel_id": "50117426"}, {"ref": "yunsuxiaozi/study-debertav3-training", "kernel_id": "50129374"}, {"ref": "haseebwar07/the-learning-agency-lab", "kernel_id": "50339670"}, {"ref": "jdonnelly0804/pii-infer", "kernel_id": "50036706"}, {"ref": "yilinl1u/create-own-dataset-piidd-using-openai", "kernel_id": "50358974"}, {"ref": "jordanhopkins/notebook3c7131e354", "kernel_id": "50234436"}, {"ref": "jefferychen453/inference", "kernel_id": "50653713"}, {"ref": "jefferychen453/training", "kernel_id": "50651235"}, {"ref": "wjeanvyun/pii-microsoft-presidio-kr", "kernel_id": "50160594"}, {"ref": "sohaibahmed9920/pii-data-prep-eda-fix-punctuation-orig-ext", "kernel_id": "50835429"}, {"ref": "shreymittal0704/rank-59-notebook-pii-data-detection", "kernel_id": "50727449"}, {"ref": "fppzrh/visualise-train-labels-spacy-ner", "kernel_id": "50626946"}, {"ref": "shashanks1202/pii-data-detection", "kernel_id": "50935565"}, {"ref": "stemosamaghandour/modeling-pii-data-detection-02-08", "kernel_id": "50114813"}, {"ref": "stemosamaghandour/pii-detector-phone-nu-e-mails", "kernel_id": "50018127"}, {"ref": "qamarmath/exploratory-data-analysis-for-robust-named-entit", "kernel_id": "50565183"}, {"ref": "qamarmath/ensemble-model-prediction-with-comprehensive-explo", "kernel_id": "50378906"}, {"ref": "yassineyahyaouii/pii-detection", "kernel_id": "50321788"}, {"ref": "minhsienweng/pii-detection-mistral-7b-deberta-v3-re", "kernel_id": "50291137"}, {"ref": "minhsienweng/train-infer-pii-detection-deberta-v3", "kernel_id": "50291190"}, {"ref": "faithk7u/external-datasets-token-validation", "kernel_id": "50969505"}, {"ref": "busranurozturk/eda-baseline-pii-data-detection", "kernel_id": "50883013"}, {"ref": "ruiyaoyang/pii-rate-inference", "kernel_id": "50295434"}, {"ref": "taichiuemura/pii-eda", "kernel_id": "50493563"}, {"ref": "guojiatang/training-spacy-model-from-pii-data", "kernel_id": "50332930"}, {"ref": "guojiatang/0-92-version-of-notebook-with-deberta-model", "kernel_id": "50241277"}, {"ref": "guojiatang/pii-rate-inference", "kernel_id": "50176643"}, {"ref": "kevinbnisch/name-students-are-nouns-but-not-named-entities", "kernel_id": "50702019"}, {"ref": "aprajitab/aprajita-s-cp1", "kernel_id": "50679093"}, {"ref": "aruvib/co2-emission-aruvi-b", "kernel_id": "50247216"}, {"ref": "abhyudaya12/pii-rate-inference", "kernel_id": "50397035"}, {"ref": "emdogan/enhanced-pii-data-classification-eda", "kernel_id": "50984579"}, {"ref": "emdogan/eda-pii-detection-removal", "kernel_id": "50732526"}, {"ref": "emdogan/pii-data-classification-eda", "kernel_id": "50698613"}, {"ref": "emdogan/pii-data-detection-dataframe", "kernel_id": "50195022"}, {"ref": "neslihanozeryildiz/pii-data-detection-eda", "kernel_id": "50386412"}, {"ref": "neslihanozeryildiz/pii-bio-eda-2", "kernel_id": "50469887"}, {"ref": "neslihanozeryildiz/creating-mini-data-sets-and-validation-data-set", "kernel_id": "50870132"}, {"ref": "neslihanozeryildiz/pii-rate-inference-code-interpretation", "kernel_id": "50666697"}, {"ref": "chuxiongkou/pii-data-detection", "kernel_id": "50463513"}, {"ref": "smhyildiz/top500", "kernel_id": "50883376"}, {"ref": "seanward034/pii-dd", "kernel_id": "50994176"}, {"ref": "ismuhammadali/pii-detection-distilbert-finetuned-test", "kernel_id": "51895727"}, {"ref": "ismuhammadali/pii-detection-distilbert-finetune-train", "kernel_id": "51950802"}, {"ref": "usharengaraju/roformer-w-b-inference", "kernel_id": "51153057"}, {"ref": "nishimoto/piidd-rule-based-step2", "kernel_id": "51494376"}, {"ref": "jparchure/pii-detection-part-3-eda", "kernel_id": "51122593"}, {"ref": "hansgeunsmeyer/pii-data-prep-outlier-detection", "kernel_id": "51082909"}, {"ref": "hansgeunsmeyer/pii-zero-shot", "kernel_id": "51244148"}, {"ref": "hansgeunsmeyer/pii-deberta-3-base-inference", "kernel_id": "51487269"}, {"ref": "verracodeguacas/autotokenizer-driven-pii-tagging-pipeline", "kernel_id": "51668103"}, {"ref": "aleksanderhan/pii-detection-mistral-7b-inference", "kernel_id": "51239154"}, {"ref": "prithviraj7387/pll-detection-eda", "kernel_id": "51497487"}, {"ref": "neodelphis/eda-and-spacy-visualizer", "kernel_id": "51087473"}, {"ref": "mandrilator/make-labels-for-ai-generated-essays-bug-fix", "kernel_id": "51136931"}, {"ref": "tovvelie/base-train", "kernel_id": "51023705"}, {"ref": "emiz6413/deberta-v3-base-striding-regex-inference", "kernel_id": "51249786"}, {"ref": "emiz6413/945-947-deberta-v3-base-infer-truncation-false", "kernel_id": "51447316"}, {"ref": "sdfasfas/pii-helloworld", "kernel_id": "51670190"}, {"ref": "martinbielik/pii-f5-metric-decomposition", "kernel_id": "51429628"}, {"ref": "nischaydnk/pii-longformer-train-pytorch-lightning", "kernel_id": "51584448"}, {"ref": "nischaydnk/pii-longformer-inference-pytorch-lightning", "kernel_id": "51585229"}, {"ref": "nischaydnk/h20-danube-1-8b-llm-submission", "kernel_id": "51857713"}, {"ref": "nischaydnk/llm-finetune-token-classification-h2o-danube-1-8b", "kernel_id": "51844662"}, {"ref": "syedjaffri/pii-detection-efficiency-lb", "kernel_id": "51411091"}, {"ref": "fadmadahouz/helper-class-to-aid-with-data-traversal", "kernel_id": "51458839"}, {"ref": "jslim7/pii-detection-stuff-you-should-know-eda", "kernel_id": "51034288"}, {"ref": "hyunsoolee1010/piidd-s-maker-stride", "kernel_id": "51497769"}, {"ref": "hyunsoolee1010/piidd-inftest", "kernel_id": "51219393"}, {"ref": "hyunsoolee1010/piidd-let-s-go-higher", "kernel_id": "51197842"}, {"ref": "farisalahmdi/deberta-large-v3-training-tf", "kernel_id": "51767271"}, {"ref": "valentinwerner/945-deberta-3-base-striding-inference", "kernel_id": "51152983"}, {"ref": "humaperveen/piidd-ensemble-approach", "kernel_id": "51710695"}, {"ref": "humaperveen/piidd-ensemble", "kernel_id": "51708940"}, {"ref": "gatanherinne/pii-data-detection-exploration-baseline", "kernel_id": "51125147"}, {"ref": "jounimoilanen/pii-detection-10-infer", "kernel_id": "51451081"}, {"ref": "jounimoilanen/pii-detection-10-train", "kernel_id": "51449512"}, {"ref": "jounimoilanen/pii-detection-8", "kernel_id": "51746751"}, {"ref": "jounimoilanen/pii-detection-8-inference", "kernel_id": "51755866"}, {"ref": "jounimoilanen/pii-detection-11-train", "kernel_id": "51871201"}, {"ref": "wonbulzhang/0-962-piidd-let-s-go-higher", "kernel_id": "51237396"}, {"ref": "proptiter/945-deberta-3-base-striding-inference", "kernel_id": "51193373"}, {"ref": "proptiter/pill-collection-n", "kernel_id": "51171849"}, {"ref": "gny666/transformer-ner-baseline-lb-0-881", "kernel_id": "51645993"}, {"ref": "dileepjayamal/create-pii-dataset-script-8000k-gpt3-5-gen-data", "kernel_id": "51685536"}, {"ref": "vladimirtrifunovic/vt-pii-data-detection-v07", "kernel_id": "51092176"}, {"ref": "ilya2raev/957-deberta3base-training", "kernel_id": "51222004"}, {"ref": "ilya2raev/957-deberta-v3-base-infer-truncation-false", "kernel_id": "51580060"}, {"ref": "benblehm/step-by-step-neural-network-for-pii-for-beginners", "kernel_id": "51193834"}, {"ref": "newtonbaba12345/pii-detection-data-generation-using-gemini", "kernel_id": "51730386"}, {"ref": "jakubzenonkujawa/957-tlal-pii-data-detection-training", "kernel_id": "51990071"}, {"ref": "thomasgamet/piidd-extending-large-model-starter-training", "kernel_id": "51133563"}, {"ref": "rima357/notebook4015b8a3e0", "kernel_id": "51466589"}, {"ref": "sohaibahmed9920/tokenization-with-stride-improved-tokenize", "kernel_id": "51885761"}, {"ref": "sohaibahmed9920/pii-detection-eda", "kernel_id": "51868477"}, {"ref": "qamarmath/ensemble-model-prediction", "kernel_id": "51182389"}, {"ref": "mrsimple07/0-962-score-piiid", "kernel_id": "51569586"}, {"ref": "mrsimple07/0-964-score-piid", "kernel_id": "51695336"}, {"ref": "minhsienweng/create-ai-generated-essays-using-llm", "kernel_id": "51006697"}, {"ref": "kyawswarhein/ensemblemodelwithexternaldataset", "kernel_id": "51286187"}, {"ref": "michabogusawski/transformer-model-1", "kernel_id": "51076779"}, {"ref": "tanishqdublish/the-learning-agency-lab-pii-data-detection-compete", "kernel_id": "51069970"}, {"ref": "tanishqdublish/the-learning-agency-lab-pii-detection", "kernel_id": "51530555"}, {"ref": "samithanawarathna/pii-data-detection-eda-simple", "kernel_id": "51493031"}, {"ref": "maksymdolgikh/label-specific-metric-computation-with-hf-evaluate", "kernel_id": "51183559"}, {"ref": "qiyu6616/deberta-v3-large-train-v2", "kernel_id": "51073107"}, {"ref": "emdogan/pii-data-detection-infer-with-w-b-tercume", "kernel_id": "51070705"}, {"ref": "emdogan/pii-data-detection-train-with-w-b-train-tercume", "kernel_id": "51472587"}, {"ref": "emdogan/945-deberta-3-base-striding-inference-tercume", "kernel_id": "51647671"}, {"ref": "emdogan/915-deberta3base-training-tercume", "kernel_id": "51880374"}, {"ref": "neslihanozeryildiz/piiratetrainingcamp-train-50p", "kernel_id": "51486830"}, {"ref": "neslihanozeryildiz/code-interpretation-piirate-training-camp", "kernel_id": "51238459"}, {"ref": "neslihanozeryildiz/terc-me-pii-longformer-train-pytorch-lightning", "kernel_id": "51832103"}, {"ref": "paramvir705/pii-data-detection", "kernel_id": "51079762"}, {"ref": "fpozzo/pii-detection-evaluation", "kernel_id": "51249245"}, {"ref": "karimclaverie/notebookd185ee5296", "kernel_id": "51099219"}, {"ref": "brandenkmurray/llm-finetune-token-classification-h2o-danube-1-8b", "kernel_id": "52194775"}, {"ref": "ismuhammadali/pii-detection-deberta-train", "kernel_id": "52024826"}, {"ref": "ismuhammadali/pii-detection-deberta-test", "kernel_id": "52132143"}, {"ref": "narsil/sophia-text-generator-tutorial-tpu", "kernel_id": "52926401"}, {"ref": "hansgeunsmeyer/metrics-one-more-time", "kernel_id": "52739376"}, {"ref": "gdataranger/pytorch-test", "kernel_id": "52512280"}, {"ref": "tovvelie/base-inference", "kernel_id": "52118619"}, {"ref": "jarvisai7/master-your-validation-with-stratified-splits", "kernel_id": "52060664"}, {"ref": "jeffersonrafael/0-964-pii-competi-o-analytica", "kernel_id": "52126242"}, {"ref": "ryotasueyoshi/deberta3base-training-and-visualizing-inference", "kernel_id": "52390253"}, {"ref": "ayugupt/pii-test", "kernel_id": "52843679"}, {"ref": "horizonbrix/benchmark-stride-inf", "kernel_id": "52306744"}, {"ref": "xiaocao123/top-63-with-score-0-966", "kernel_id": "52651445"}, {"ref": "hidngnguyna/train-comet-update-18-03-word-token-level", "kernel_id": "52048345"}, {"ref": "hidngnguyna/train-comet-update-18-03-word", "kernel_id": "52797260"}, {"ref": "satyaprakashshukl/pii-detection-eda-wip", "kernel_id": "52852965"}, {"ref": "valentinwerner/tpu-essay-generation-with-gemma", "kernel_id": "52348712"}, {"ref": "krist0phersmith/pii-real-names-data-wrangle", "kernel_id": "52865355"}, {"ref": "ibrohimsharipov/cars-detection", "kernel_id": "52570626"}, {"ref": "jayshah1234/pii-rate-inference", "kernel_id": "52050798"}, {"ref": "lizhecheng/piidd-two-gpu-inference", "kernel_id": "52946008"}, {"ref": "jounimoilanen/pii-detection-11-infer", "kernel_id": "52332889"}, {"ref": "qingli1109/pii-with-spacy", "kernel_id": "52940221"}, {"ref": "stochoshi/pii-22-cpu", "kernel_id": "52653379"}, {"ref": "thomasgamet/piidd-extending-large-model-starter-trn2", "kernel_id": "52269193"}, {"ref": "yavuzseliminan/better-parameters-0-966", "kernel_id": "52748445"}, {"ref": "qamarmath/pii-detection-with-pretrained-deberta-model", "kernel_id": "52079021"}, {"ref": "kachunsoh/pii-training", "kernel_id": "52870234"}, {"ref": "egeuguramasya/playing-with-eda", "kernel_id": "52223260"}, {"ref": "riteshbhalerao/inference-longformer-deberta-large", "kernel_id": "52942862"}, {"ref": "samsay23/pii-notebook-generalization-with-score-0-966", "kernel_id": "52277906"}, {"ref": "minhsienweng/infer-pii-detection-using-llm", "kernel_id": "52386600"}, {"ref": "minhsienweng/infer-pii-detection-ensemble-models", "kernel_id": "52808855"}, {"ref": "sagiah/inference-external-notebook", "kernel_id": "52321133"}, {"ref": "neslihanozeryildiz/detailed-nb-pii-longformer-train", "kernel_id": "52190068"}, {"ref": "neslihanozeryildiz/terc-me-pii-longformer-inference-pytorchlightning", "kernel_id": "52849449"}, {"ref": "danielraphael3142/pii-book-i-presidio-bert", "kernel_id": "52890022"}, {"ref": "gabrielzhang5/specific-metrics-train-infer-llm-deberta-v3-ba", "kernel_id": "52180366"}, {"ref": "gabrielzhang5/traning-train-infer-llm-deberta-v3-base", "kernel_id": "52150217"}, {"ref": "rene4315563/ner-2-0-fine-tuning-bert-base-ner", "kernel_id": "53610748"}, {"ref": "umar47/pii-detection-ai4privacy-deberta-v3-base", "kernel_id": "53285364"}, {"ref": "conjuring92/pii-dg-together-mixtral-dev", "kernel_id": "53426567"}, {"ref": "startalks/pii-detection-with-score-0-967", "kernel_id": "53162579"}, {"ref": "chatapoorv/pii-keras-kerasnlp-0-89", "kernel_id": "53872067"}, {"ref": "emiz6413/deberta-v3-single-model-lb-0-966", "kernel_id": "53168015"}, {"ref": "emiz6413/train-deberta-v3-single-model-lb-0-966", "kernel_id": "53426700"}, {"ref": "emiz6413/train-deberta-large-on-kaggle-kernel-with-peft", "kernel_id": "53924148"}, {"ref": "matthewchung/915-deberta3base-training", "kernel_id": "53210702"}, {"ref": "lenferdetroud/0-967-piidd-sakura", "kernel_id": "53706906"}, {"ref": "horizonbrix/deb-large-inf", "kernel_id": "53742543"}, {"ref": "mohamadjaallouk/public-29th-private-66th-solution", "kernel_id": "53408656"}, {"ref": "yannan90/pii-df-fold", "kernel_id": "53457869"}, {"ref": "gatanherinne/3-deberta-fine-tuned-training", "kernel_id": "53445312"}, {"ref": "gatanherinne/3-deberta-fine-tuned-inference", "kernel_id": "53512845"}, {"ref": "huihuihui12/decoder-llm-lstm-train", "kernel_id": "53126447"}, {"ref": "huihuihui12/pii-gemma-inference", "kernel_id": "53128572"}, {"ref": "jounimoilanen/pii-detection-13", "kernel_id": "53105211"}, {"ref": "morningduck/piidd-inference", "kernel_id": "53146417"}, {"ref": "morningduck/piid-evaluation", "kernel_id": "53361925"}, {"ref": "morningduck/piidd-training-deberta-large", "kernel_id": "53630404"}, {"ref": "morningduck/piidd-data-augmentation", "kernel_id": "53907193"}, {"ref": "morningduck/piidd-inference-ensemble", "kernel_id": "53757347"}, {"ref": "kaito117/regex-ensemble", "kernel_id": "53435326"}, {"ref": "addoils/train-deberta-v3", "kernel_id": "53991747"}, {"ref": "vladimirtrifunovic/vt-piid-with-pytorch-train", "kernel_id": "53835761"}, {"ref": "vladimirtrifunovic/vt-pii-torch-predict-v03", "kernel_id": "53913817"}, {"ref": "megumih/train-pii-submit", "kernel_id": "53354776"}, {"ref": "eliocordeiropereira/understanding-the-f-beta-score", "kernel_id": "53802652"}, {"ref": "eliocordeiropereira/pii-data-detection-with-spacy", "kernel_id": "53751529"}, {"ref": "mikhailgolubchik/fork-of-the-lalab-pii-data", "kernel_id": "53126563"}, {"ref": "andreasbis/piidd-infer-deberta-with-hugging-face", "kernel_id": "53287968"}, {"ref": "andreasbis/piidd-train-deberta-with-hugging-face", "kernel_id": "53285973"}, {"ref": "ruhong/tlalpii24-llm-data-generation", "kernel_id": "54659892"}, {"ref": "devinanzelmo/piidd-efficiency-3rd-inference", "kernel_id": "54503372"}, {"ref": "rene4315563/ner-2-1-inference", "kernel_id": "54017582"}, {"ref": "nishimoto/piidd-train-deberta-v3-large-use-first30-fold2", "kernel_id": "54795630"}, {"ref": "illidan7/pii-detect-mistral-pii-generation", "kernel_id": "54180939"}, {"ref": "illidan7/pii-detect-mistral-dataset-generation", "kernel_id": "54182014"}, {"ref": "verracodeguacas/onnx-variaditos", "kernel_id": "54427872"}, {"ref": "lavrikovav/0-968-to-onnx-30-200-speedup-pii-inference", "kernel_id": "54191948"}, {"ref": "bsting/fine-tune-distilbert-with-stride", "kernel_id": "54678673"}, {"ref": "bsting/pii-data-detection-eda", "kernel_id": "54800032"}, {"ref": "gdataranger/pii-data-detection-deberta", "kernel_id": "54300134"}, {"ref": "gdataranger/pii-data-detection-deberta-score", "kernel_id": "54373621"}, {"ref": "defhocha/notebook52b6e46205", "kernel_id": "54042248"}, {"ref": "marcoroosken/pii-kerasnlp-starter-marco-hernandez", "kernel_id": "54087494"}, {"ref": "miguelgonzlezortiz/pii-data-detection-training-debertav3base", "kernel_id": "54617399"}, {"ref": "miguelgonzlezortiz/pii-data-detection-inference-debertav3large", "kernel_id": "54682341"}, {"ref": "pierluigicostanzo/spacy-hugging-face-easy-peasy-nlp", "kernel_id": "54308490"}, {"ref": "horizonbrix/validator", "kernel_id": "54592320"}, {"ref": "horizonbrix/ensemble-preds-weights", "kernel_id": "54197522"}, {"ref": "zeinabsheikhi/roberta", "kernel_id": "54860686"}, {"ref": "joannaradoa/submission-notebook", "kernel_id": "54508078"}, {"ref": "sakshamdwivedi10/ensemble-preds-reset", "kernel_id": "54091341"}, {"ref": "yannan90/pii-infer-ensemble-ignorebi", "kernel_id": "54630095"}, {"ref": "huihuihui12/pii-deberta-gemma-inference", "kernel_id": "54672986"}, {"ref": "prokaggler22/pii-data-classification-data-generation-mistral-v1", "kernel_id": "54203755"}, {"ref": "vishakkbhat/inference-vishak", "kernel_id": "54489366"}, {"ref": "vishakkbhat/fork-of-full-deberta-base-6epochs", "kernel_id": "54752464"}, {"ref": "morganwww/cs404-real-final-project", "kernel_id": "54514757"}, {"ref": "thomasgamet/pii-dd-deberta-3-large-striding-inference-dirf66", "kernel_id": "54316069"}, {"ref": "harshavardhanpatil64/pii-data-detection-kerasnlp-starter-notebook", "kernel_id": "54999293"}, {"ref": "zhoufeng2009/debertav3", "kernel_id": "54718980"}, {"ref": "qamarmath/weighted-ensemble-learning-for-improved-pii-detect", "kernel_id": "54750360"}, {"ref": "mohammedashraf000/pii-data-detection", "kernel_id": "54166057"}, {"ref": "minhsienweng/pii-detection-ensemble-deberta-onnx-models", "kernel_id": "54698455"}, {"ref": "kaijunzhangg/kai-s-copy-deberta", "kernel_id": "54353958"}, {"ref": "sweebalivada/data255-deberta", "kernel_id": "54163020"}, {"ref": "aarishasifkhan/learning-agency-lab-pii-detection-deberta-v3", "kernel_id": "54617968"}, {"ref": "aarishasifkhan/the-learning-agency-lab-pii-detection", "kernel_id": "54629640"}, {"ref": "aarishasifkhan/the-learning-agency-lab-pii-detection-bert", "kernel_id": "54495144"}, {"ref": "aarishasifkhan/the-learning-agency-lab-pii-detection-gru", "kernel_id": "54393653"}, {"ref": "aarishasifkhan/the-learning-agency-lab-pii-detection-lstm", "kernel_id": "54392025"}, {"ref": "aarishasifkhan/the-learning-agency-lab-pii-detection-xlnet", "kernel_id": "54434065"}, {"ref": "aarishasifkhan/the-learning-agency-lab-pii-detection-fasttext", "kernel_id": "54421885"}, {"ref": "aarishasifkhan/the-learning-agency-lab-pii-dectetion", "kernel_id": "54333054"}, {"ref": "aarishasifkhan/the-learning-agency-lab-pii-detection-rnn", "kernel_id": "54357522"}, {"ref": "aarishasifkhan/learning-agency-lab-detecting-pii-with-keras", "kernel_id": "54359855"}, {"ref": "aarishasifkhan/learning-agency-lab-word-embedding-encoding", "kernel_id": "54965027"}, {"ref": "harshitstark/piidd-infer-deberta-with-hugging-face", "kernel_id": "54588872"}, {"ref": "gabrielzhang5/pii-data-detection-kerasnlp-starter-notebook", "kernel_id": "54308772"}, {"ref": "newtlil/urlmymodel", "kernel_id": "54422803"}, {"ref": "gogooo0/fork-of-urlthremymodel-482e21", "kernel_id": "54562655"}, {"ref": "gogooo0/fork-of-urlthremymodel-5bbb37", "kernel_id": "54559507"}, {"ref": "gogooo0/fork-of-urlthremymodel-8bbab6", "kernel_id": "54559198"}, {"ref": "gogooo0/mymodel-v2x", "kernel_id": "54761807"}, {"ref": "dott1718/piid-2nd-place-solution", "kernel_id": "55833461"}, {"ref": "rashmibanthia/pii-data-detection-deberta-v3-large-4th-rank", "kernel_id": "55412806"}, {"ref": "rashmibanthia/pii-external-dataset-comparison-eda", "kernel_id": "55464788"}, {"ref": "haqishen/single-model-no-pp-privatelb-0-963", "kernel_id": "55322929"}, {"ref": "haqishen/training-single-model-to-get-privatelb-0-963", "kernel_id": "55326460"}, {"ref": "illidan7/public-model-ensemble-pub-0-970-priv-0-956", "kernel_id": "55294986"}, {"ref": "takamichitoda/pii-rule-prediction-check", "kernel_id": "55419652"}, {"ref": "kenkengoda/pii-detection-training-notebook-70th-place", "kernel_id": "55402580"}, {"ref": "kenkengoda/pii-detection-grid-search-notebook-70th-place", "kernel_id": "55406495"}, {"ref": "kenkengoda/pii-detection-inference-notebook-70th-place", "kernel_id": "55406579"}, {"ref": "sahanatp/pii-torch-predict", "kernel_id": "55196414"}, {"ref": "elenamarelmi/pii-inference", "kernel_id": "55834990"}, {"ref": "httpwwwfszyc/the-learning-agency-lab-pii-detection-bert", "kernel_id": "55973480"}, {"ref": "raki21/llama-3-gguf-with-llama-cpp", "kernel_id": "55498676"}, {"ref": "debbiechu/pii-detection-with-longformer", "kernel_id": "55167060"}, {"ref": "martinbielik/pii-detection-custom-spacy-ner-train", "kernel_id": "55548655"}, {"ref": "martinbielik/pii-detection-spacy-ner-regex", "kernel_id": "55548754"}, {"ref": "hmhkamilo/fork-of-tlabpiidd", "kernel_id": "55215139"}, {"ref": "yeoyunsianggeremie/pii-1st-place-solution", "kernel_id": "55313391"}, {"ref": "yeoyunsianggeremie/llama-3-8b-gguf", "kernel_id": "55053119"}, {"ref": "shigeria/pii-lb-0964-team-all-green", "kernel_id": "55334679"}, {"ref": "horizonbrix/ensemble-preds-reset-5-best", "kernel_id": "55275355"}, {"ref": "yukiokumura1/pii-019-021-034-037-038-pp", "kernel_id": "55016825"}, {"ref": "fadhaaali/beginner-pii", "kernel_id": "55005758"}, {"ref": "lizhecheng/vote-ensemble-replace-and-no-replace", "kernel_id": "55137444"}, {"ref": "lizhecheng/avg-ensemble-replace-and-no-replace", "kernel_id": "55103709"}, {"ref": "xin811/pii-code-42th", "kernel_id": "55284318"}, {"ref": "nicholaswofford/train-deberta-large-on-kaggle-kernel-with-peft", "kernel_id": "55246099"}, {"ref": "wasjaip/lalab-pii-data-7st", "kernel_id": "55315946"}, {"ref": "cescofran/explain-with-code-pii-eda-presidio-baseline", "kernel_id": "55199290"}, {"ref": "kyawswarhein/pii-data-preparation", "kernel_id": "55635847"}, {"ref": "kyawswarhein/generated-dataset-using-openai", "kernel_id": "55092666"}, {"ref": "maksymdolgikh/87th-place-preparing-data-training", "kernel_id": "55360615"}, {"ref": "chengfg/what-i-learned-from-this-computation", "kernel_id": "55661162"}, {"ref": "stuffysprout/notebook8c367fca71", "kernel_id": "55238991"}, {"ref": "amanpreet1886/final-code", "kernel_id": "55286010"}, {"ref": "sheetalhegde/finalproject-pii-detection", "kernel_id": "56781394"}, {"ref": "nischaydnk/llm-finetune-token-classification-h2o-danu-6773ed", "kernel_id": "56043732"}, {"ref": "yoyowang1/pii-data-detection-kerasnlp-starter-notebook", "kernel_id": "56968038"}, {"ref": "ihtashambutt/notebookce1d91bba9", "kernel_id": "56898940"}, {"ref": "kachunsoh/pii-inference", "kernel_id": "56451216"}, {"ref": "sagiah/2-probe-features", "kernel_id": "56093540"}, {"ref": "sagiah/1-stratified-split", "kernel_id": "56093776"}, {"ref": "sagiah/3-probe-labels", "kernel_id": "56151937"}, {"ref": "sagiah/4-data-augmentation", "kernel_id": "56241012"}, {"ref": "sagiah/my-model", "kernel_id": "56251593"}, {"ref": "sagiah/training", "kernel_id": "56253031"}, {"ref": "sagiah/my-dataset", "kernel_id": "56252461"}, {"ref": "sagiah/workshop-demo-training", "kernel_id": "56260158"}, {"ref": "devilhunter17/final", "kernel_id": "56665838"}, {"ref": "arnoldbinaday/notebook6420157a43", "kernel_id": "56275951"}, {"ref": "arnoldbinaday/notebookd9d4acb69f", "kernel_id": "56527706"}, {"ref": "devinanzelmo/piidd-efficiency-3rd-process-external-data", "kernel_id": "57334270"}, {"ref": "devinanzelmo/piidd-efficiency-3rd-train", "kernel_id": "57334596"}, {"ref": "jamesplant/hackathon-synthetic-data-tpu", "kernel_id": "57857523"}, {"ref": "tokaggle/pii-detection", "kernel_id": "57677475"}, {"ref": "wkdrbwnd1/notebookbff014483d", "kernel_id": "58008485"}, {"ref": "jamessuryaputra/look-both-pupils", "kernel_id": "58030780"}, {"ref": "kyawswarhein/ensemblemodelwithexternaldataset2", "kernel_id": "59529602"}, {"ref": "elenamarelmi/model-2-training", "kernel_id": "60656552"}, {"ref": "langdonholmes/pii-detection-1st-place-efficiency", "kernel_id": "60804705"}, {"ref": "jiayi531/vers1", "kernel_id": "60077593"}, {"ref": "deeparker/pii-detection-with-deberta", "kernel_id": "62172319"}, {"ref": "laterskater/pii-data-detection-kerasnlp-starter-notebook", "kernel_id": "62605250"}, {"ref": "shirshmall/pii-detection-ai4privacy-dataset", "kernel_id": "64833481"}, {"ref": "zijinye/lstm-s2s", "kernel_id": "71503667"}, {"ref": "yeoyunsianggeremie/pii-single-model-infer", "kernel_id": "73611834"}, {"ref": "jonaswm/detect-pii-using-llm-with-confidence-scores", "kernel_id": "78350340"}, {"ref": "svetlanaishchenko/pii-training", "kernel_id": "81354155"}, {"ref": "leyox8/pii-2nd-experiment", "kernel_id": "82197631"}, {"ref": "leyox8/pii-2nd-experiment-inference", "kernel_id": "83382827"}, {"ref": "leyox8/inference-notebook1", "kernel_id": "83361307"}, {"ref": "leyox8/pii-1st-experiment-new-version", "kernel_id": "83441653"}, {"ref": "svetlanaishchenko/pii-inference-fin", "kernel_id": "83184456"}, {"ref": "svetlanaishchenko/create-essays-with-mixtral", "kernel_id": "83035286"}, {"ref": "qamarmath/detecting-student-pii-with-fine-tuned-deberta", "kernel_id": "110194924"}, {"ref": "mdabdulalhasib/understand-how-to-use-deberta-with-full-potential", "kernel_id": "128760400"}]}
{"competition_id": "66657", "kernels": []}
{"competition_id": "66658", "kernels": [{"ref": "herbwang/baseline-kaggle", "kernel_id": "48634573"}]}
{"competition_id": "66659", "kernels": [{"ref": "akash190104/regression-starter-notebook", "kernel_id": "48576765"}, {"ref": "ramachandraamarthi/g3-marks-prediction-rf", "kernel_id": "48764548"}, {"ref": "saliharanauzun/predict-students-mark", "kernel_id": "48814925"}, {"ref": "okayananya/mlx-regression", "kernel_id": "48611529"}]}
{"competition_id": "66694", "kernels": []}
{"competition_id": "66696", "kernels": [{"ref": "killa92/f1-0-97-visualization-analysis-classification", "kernel_id": "52471706"}, {"ref": "marshallgrinstead/dhu-ailab-marsgrins", "kernel_id": "52247171"}]}
{"competition_id": "66702", "kernels": [{"ref": "symz00/spammailprediction-initial-eda", "kernel_id": "48759554"}, {"ref": "symz00/spammailprediction-lgbm-optuna-nestedcv", "kernel_id": "48810641"}, {"ref": "motensor/prediction-spam-lightgbm-v2", "kernel_id": "48990782"}, {"ref": "kentak0928/host-baseline-bayesian-model-cv-prediction-spam", "kernel_id": "48803159"}, {"ref": "kentak0928/host-baseline-lightgbm-prediction-spam", "kernel_id": "48689143"}, {"ref": "kentak0928/host-baseline-bayesian-model-prediction-spam", "kernel_id": "48688499"}, {"ref": "nobushoshin/adversarial-validation", "kernel_id": "48847964"}, {"ref": "keishibata/spam-initial-eda-en", "kernel_id": "48697703"}, {"ref": "keishibata/spam-ensemble-boost-prediction", "kernel_id": "48811689"}, {"ref": "dheerajkr1a1a/spam-classification-using-nn", "kernel_id": "48966418"}, {"ref": "aceultra/near-bayesian-logistic-regression-model", "kernel_id": "48853633"}, {"ref": "aceultra/bayesian-logistic-regression-model-with-bambi", "kernel_id": "48894533"}, {"ref": "anchalsekhrii/spam-prediction", "kernel_id": "48771817"}, {"ref": "aceultra/2nd-bayesian-logistic-regression-model-with-bambi", "kernel_id": "49036959"}, {"ref": "aceultra/modify2-near-bayesian-logistic-regression-model", "kernel_id": "49041918"}]}
{"competition_id": "66711", "kernels": []}
{"competition_id": "66712", "kernels": []}
{"competition_id": "66717", "kernels": [{"ref": "ibragimovuzoqmurod/predicting-superconductiv", "kernel_id": "49000421"}]}
{"competition_id": "66725", "kernels": [{"ref": "dremovd/baseline-gpt", "kernel_id": "48925343"}, {"ref": "dremovd/translation", "kernel_id": "49064532"}, {"ref": "konstantinbelenko/0-7-gpt3-5-eng-multi-shot", "kernel_id": "51196180"}, {"ref": "sinamahallati/llama3-prompt-engineering", "kernel_id": "105003881"}, {"ref": "invalizare/ye-deighe", "kernel_id": "105545089"}]}
{"competition_id": "66728", "kernels": []}
{"competition_id": "66729", "kernels": []}
{"competition_id": "66730", "kernels": []}
{"competition_id": "66738", "kernels": [{"ref": "abderrahmanecharak/notebook35cc4a6259", "kernel_id": "48826005"}, {"ref": "thaparrishav/smokerstatus-randomforestclassifier", "kernel_id": "49934735"}, {"ref": "parthvashish/notebook6bf2531c19", "kernel_id": "50939997"}, {"ref": "mostafanoseir/mostafa", "kernel_id": "81563086"}]}
{"competition_id": "66835", "kernels": []}
{"competition_id": "66839", "kernels": []}
{"competition_id": "66849", "kernels": []}
{"competition_id": "66858", "kernels": [{"ref": "rfeng12/seismic-data-analysis-ustc2023", "kernel_id": "49121820"}]}
{"competition_id": "66912", "kernels": [{"ref": "luficergfree/nothing-beats-os-with-eda-part-1", "kernel_id": "49335984"}]}
{"competition_id": "66923", "kernels": []}
{"competition_id": "66962", "kernels": [{"ref": "congtri1305/mobilefacenet-compression", "kernel_id": "48945401"}, {"ref": "trnguyncng/mobilefacenet-compression-2", "kernel_id": "48965998"}, {"ref": "phongng/mobilefacenet-compression-2", "kernel_id": "49244139"}]}
{"competition_id": "66968", "kernels": []}
{"competition_id": "66976", "kernels": [{"ref": "sergeydeev/materials-design-with-tfdf", "kernel_id": "49430231"}]}
{"competition_id": "66981", "kernels": [{"ref": "sriram2511/notebookad1e84304a", "kernel_id": "49302129"}]}
{"competition_id": "66982", "kernels": []}
{"competition_id": "67017", "kernels": []}
{"competition_id": "67023", "kernels": []}
{"competition_id": "67032", "kernels": []}
{"competition_id": "67047", "kernels": []}
{"competition_id": "67084", "kernels": [{"ref": "harharharhar/diabetes-prediction", "kernel_id": "49370421"}, {"ref": "amulyat29/diabetes-prediction", "kernel_id": "49332630"}, {"ref": "soroushsrd/diabetes-prediction-random-forrest", "kernel_id": "49461738"}, {"ref": "champml/notebookae9eb4255d", "kernel_id": "49613184"}, {"ref": "vibhorjoshi7/diabetes-prediction-model", "kernel_id": "50177132"}, {"ref": "ramiabdullah/09-diabetes-prediction-ml", "kernel_id": "75212318"}, {"ref": "ferasalshash/diabetes-prediction-with-machine-learning", "kernel_id": "75130666"}, {"ref": "normanrowens/nro-diabetes-prediction-from-medical-records", "kernel_id": "100534275"}]}
{"competition_id": "67085", "kernels": [{"ref": "sreeleshps/telecom-churn-prediction", "kernel_id": "50490632"}, {"ref": "athiramenon/telecom-churn-prediction-casestudy", "kernel_id": "50561166"}]}
{"competition_id": "67093", "kernels": [{"ref": "flesarradu/glasses-noglasses", "kernel_id": "50385850"}]}
{"competition_id": "67094", "kernels": []}
{"competition_id": "67095", "kernels": []}
{"competition_id": "67098", "kernels": []}
{"competition_id": "67120", "kernels": []}
{"competition_id": "67121", "kernels": [{"ref": "satyaprakashshukl/sentence-embedding-minilm-l12-v2", "kernel_id": "33378781"}, {"ref": "vinayaktiwari28/llm-starter-part-1", "kernel_id": "50766605"}, {"ref": "hengck23/check-t5-encoder", "kernel_id": "51869427"}, {"ref": "wlifferth/starter-notebook-generating-more-data-with-gemma", "kernel_id": "51603168"}, {"ref": "joey0201/the-impact-of-words-in-prompt-on-t5-embedding", "kernel_id": "51927687"}, {"ref": "metathesis/gemma-activations-random-forest-xgboost", "kernel_id": "51684386"}, {"ref": "dschettler8845/tpu-gemma-instruct-7b-llm-prompt-recovery", "kernel_id": "51988759"}, {"ref": "dschettler8845/llm-prompt-recovery-baseline-submission", "kernel_id": "51777787"}, {"ref": "morodertobias/llmpr-start-with-gemma", "kernel_id": "51999736"}, {"ref": "hustzx/using-mixtral-to-predict-prompt", "kernel_id": "51699394"}, {"ref": "mpwolke/sea-shanties-can-t-hold-gemma-down", "kernel_id": "51661415"}, {"ref": "alejopaullier/llm-pr-seq2seq-inference", "kernel_id": "51888001"}, {"ref": "alejopaullier/llm-pr-seq2seq-train", "kernel_id": "51770968"}, {"ref": "nvnikhil0001/gemma-llm-prompt-recovery-data-generator", "kernel_id": "51669513"}, {"ref": "dipamc77/lb-0-6-improve-the-text-to-this", "kernel_id": "51826565"}, {"ref": "prashantchoubey1/learn-prompt-engineering-using-gemma-google-llm", "kernel_id": "51923628"}, {"ref": "manthankulkarni/notebook93d677db14", "kernel_id": "51865978"}, {"ref": "josecarmona/chromadb-sentence-transformers-wheel", "kernel_id": "51936981"}, {"ref": "aatiffraz/generating-data-through-gemma7b-1000-texts-5h", "kernel_id": "51683571"}, {"ref": "aatiffraz/prompt-prediction-w-mixtral-mistral7b-gemma-llama", "kernel_id": "51663186"}, {"ref": "nischaydnk/gemma-asking-llm-to-generate-prompt", "kernel_id": "51659147"}, {"ref": "mayankrakesh121/best-prompt-prompt-recovery-scs-score", "kernel_id": "51821102"}, {"ref": "yeoyunsianggeremie/llm-prompt-recovery-metric-computation", "kernel_id": "51708363"}, {"ref": "rdxsun/lb-0-61", "kernel_id": "51858577"}, {"ref": "isakatsuyoshi/improve-the-following-text-below", "kernel_id": "51661960"}, {"ref": "boristown/ai-20240304-promote", "kernel_id": "51899134"}, {"ref": "boristown/torch-t5-encoder", "kernel_id": "51912420"}, {"ref": "boristown/ai-20240303", "kernel_id": "51881808"}, {"ref": "boristown/ai-20240305", "kernel_id": "51981231"}, {"ref": "vinayaktiwari28/starter-llm-rag-implementation", "kernel_id": "51267644"}, {"ref": "ilanmeissonnier/new-base-prompt", "kernel_id": "51794396"}, {"ref": "ilanmeissonnier/creating-rewrite-prompts-using-gemma", "kernel_id": "51791612"}, {"ref": "zyh123454321/using-gemma-in-promplate", "kernel_id": "51952902"}, {"ref": "cemalemrealbayrak/gemma7b-it-hf-transformers-prompt-rewritter", "kernel_id": "51791261"}, {"ref": "jkstarc/gem-class-popcorn", "kernel_id": "51730177"}, {"ref": "howardlim/practice-1-generating-more-data-with-gemma", "kernel_id": "51862960"}, {"ref": "seifachour12/improve-text", "kernel_id": "51874543"}, {"ref": "sunny7712/trying-finetuning", "kernel_id": "51929736"}, {"ref": "anilyagiz/kaggle-denemeler", "kernel_id": "51894902"}, {"ref": "shivamardeshna/llm-prompt-recovery", "kernel_id": "51865436"}, {"ref": "simonveitner/perplexity-baseline-gemma-2b", "kernel_id": "51828222"}, {"ref": "horikitasaku/how-to-finetune-gemma-transformers-gpu-t4-2", "kernel_id": "51740103"}, {"ref": "yunsuxiaozi/llm-prompt-challenge", "kernel_id": "51669045"}, {"ref": "sambhavdixit/lb-61-notebook-competition-submission", "kernel_id": "51866523"}, {"ref": "sambhavdixit/llama2-13b-based-prompt-prediction", "kernel_id": "51884906"}, {"ref": "sambhavdixit/submission-with-evaluation-metric", "kernel_id": "51905651"}, {"ref": "sambhavdixit/llm-prompt-recovery-metric-computation", "kernel_id": "51905351"}, {"ref": "scottnewcomer/prompt-recovery-with-nlp", "kernel_id": "51673078"}, {"ref": "ilya2raev/competition-data-eda-sanity-check", "kernel_id": "51720893"}, {"ref": "newtonbaba12345/llm-prompt-recovery-generating-data-with-gemini", "kernel_id": "51672996"}, {"ref": "jefersonpazze/gemma-guide-llm-prompt-recovery", "kernel_id": "51698244"}, {"ref": "radhakrishnanrajan/nakshatras-project-1", "kernel_id": "51812962"}, {"ref": "stemosamaghandour/transform-to-better-text-gemma", "kernel_id": "51843782"}, {"ref": "taichiuemura/generate-prompts-with-gemma", "kernel_id": "51745506"}, {"ref": "furkanashfaqshaikh/starter-1k", "kernel_id": "51916235"}, {"ref": "levantaokkz/prompting-strategies", "kernel_id": "51899304"}, {"ref": "levantaokkz/llm-prompt-recovey-phi2-model", "kernel_id": "51818236"}, {"ref": "kevinbnisch/randomized-static-prompt-nonesense", "kernel_id": "51660914"}, {"ref": "yujansaya/prompt-recovery-with-gemma-transformers", "kernel_id": "51706254"}, {"ref": "yujansaya/gemma-with-lora-keras-fine-tuning", "kernel_id": "51227956"}, {"ref": "yujansaya/gemma-7b-with-lora-prompt-recovery", "kernel_id": "51929843"}, {"ref": "harshitstark/llm-prompt-recovery", "kernel_id": "51794908"}, {"ref": "n8mauer/starter-notebook-generating-more-data-with-gemma", "kernel_id": "51672141"}, {"ref": "bas666/notebook90fafc3a2b", "kernel_id": "51245578"}, {"ref": "orpheuswalker/prompt-recovery-gemma-transformers-qlora", "kernel_id": "51983556"}, {"ref": "orpheuswalker/prompt-recovery-gemma-keras-reduce-size-approach", "kernel_id": "51976004"}, {"ref": "philippsinger/prompt-pip", "kernel_id": "52647440"}, {"ref": "rishirajacharya/infer-recovery-with-gemma-prompt", "kernel_id": "52252109"}, {"ref": "fsimond/efficient-gemma-inference-on-multi-gpus", "kernel_id": "52357873"}, {"ref": "dineshkumarm/few-shot-example", "kernel_id": "52558050"}, {"ref": "dmitriyab/prompt-engineering-101", "kernel_id": "52816896"}, {"ref": "aisuko/llm-prompt-recovery-with-gemma", "kernel_id": "52062402"}, {"ref": "joey0201/diff-embedding-prediction", "kernel_id": "52732051"}, {"ref": "simpleparadox/using-cot-in-the-prompt", "kernel_id": "52380753"}, {"ref": "pedromoya/seventh-submission-notebook", "kernel_id": "52244151"}, {"ref": "pedromoya/good-perplexity-baseline-gemma-2b-simon-veitner", "kernel_id": "52215977"}, {"ref": "pedromoya/second-submission-notebook", "kernel_id": "52033592"}, {"ref": "pedromoya/naive-submission-notebook", "kernel_id": "52060248"}, {"ref": "pedromoya/a-dummy-submission", "kernel_id": "52048852"}, {"ref": "pedromoya/fourth-submission-notebook", "kernel_id": "52056595"}, {"ref": "pedromoya/16th-datasetprompts-submission-nb", "kernel_id": "52682667"}, {"ref": "pedromoya/9th-submission-notebook", "kernel_id": "52389677"}, {"ref": "pedromoya/18th-submission-onlyusing-testset-nb", "kernel_id": "52814874"}, {"ref": "liuyanfeng/lb-study", "kernel_id": "52222349"}, {"ref": "liuyanfeng/perplexity-baseline-study", "kernel_id": "52229371"}, {"ref": "liuyanfeng/simplepandas-funny", "kernel_id": "52169024"}, {"ref": "what5up/t5-rewrite-prompt-embeddings-space", "kernel_id": "52444695"}, {"ref": "morodertobias/llmpr-gemma-prompt-recovery", "kernel_id": "52239401"}, {"ref": "winddude/dumb-mean-hunt-exp", "kernel_id": "52172614"}, {"ref": "pollicio/starter-notebook-generating-model-transformer", "kernel_id": "52268611"}, {"ref": "dipamc77/nous-hermes-2-zero-shot-prompt-lb-0-56", "kernel_id": "52347777"}, {"ref": "tsk1998/notebookccb36418e0", "kernel_id": "52312262"}, {"ref": "awsaf49/prompt-recovery-with-gemma-kerasnlp-starter", "kernel_id": "52465141"}, {"ref": "hexomiter/convert-sentence-t5-weights-from-tf-to-pytorch", "kernel_id": "52505824"}, {"ref": "tomooinubushi/all-in-one-dataset-with-embedding", "kernel_id": "52654782"}, {"ref": "josecarmona/pairwise-metric", "kernel_id": "52678914"}, {"ref": "taikimori/faster-generation-of-rewrite-prompts-with-gemini", "kernel_id": "52716755"}, {"ref": "taikimori/simple-adaptive-few-shot-prompt-recovery", "kernel_id": "52776428"}, {"ref": "sathvikjoel/test-mean-prompt", "kernel_id": "52838431"}, {"ref": "pilarpieiro/gemma-7b-with-lora-prompt-recovery-modified", "kernel_id": "52492175"}, {"ref": "fernandosr85/gemma-s-prompt-puzzle", "kernel_id": "52183230"}, {"ref": "isakatsuyoshi/kaggle-environment-20240315", "kernel_id": "52687494"}, {"ref": "vladislavkolesov/llm-pr-seq2seq-train", "kernel_id": "52124482"}, {"ref": "vladislavkolesov/llm-pr-seq2seq-inference", "kernel_id": "52156072"}, {"ref": "bunny11/llm-prompt-recovery-by-gurpreet-singh", "kernel_id": "52047524"}, {"ref": "boristown/tpu-offline-gemma-instruct-2b-7b", "kernel_id": "52731169"}, {"ref": "millerrfu/1-cleaned-dataset", "kernel_id": "52511793"}, {"ref": "eslamfouad/this-is-not-actual-data-science-course-20", "kernel_id": "52860544"}, {"ref": "martinejka/gemma", "kernel_id": "52018832"}, {"ref": "jueric/prompt-engineer", "kernel_id": "52506470"}, {"ref": "juanmerinobermejo/llm-pr-fine-tuning-with-gemma-2b", "kernel_id": "52255715"}, {"ref": "juanmerinobermejo/generating-rewritten-texts-with-gemma-2b", "kernel_id": "52071510"}, {"ref": "jyoti404/llm-prompt-recovery", "kernel_id": "52008949"}, {"ref": "jyoti404/llm-prompt", "kernel_id": "52174084"}, {"ref": "pituchaimitpakdee/goofyah-group", "kernel_id": "52785745"}, {"ref": "ahmdamyn/notebook33e10a7f50", "kernel_id": "52099273"}, {"ref": "pshikk/teachingwithasingleexample", "kernel_id": "52249269"}, {"ref": "kishanvavdara/test-data-exp", "kernel_id": "52105756"}, {"ref": "abhijeetkrjha003/prompt-recovery-dataset-creation", "kernel_id": "52245370"}, {"ref": "bhatiji/getting-to-know-the-user-generated-data-part-1", "kernel_id": "52367471"}, {"ref": "richolson/mistral-7b-prompt-recovery", "kernel_id": "52201762"}, {"ref": "richolson/test-prompt-make-this-text-more-negative", "kernel_id": "52603101"}, {"ref": "richolson/test-prompt-make-this-text-more-positive", "kernel_id": "52602675"}, {"ref": "richolson/test-prompt-the-most-neutral-words", "kernel_id": "52617129"}, {"ref": "richolson/test-prompt-make-this-text-more-fun", "kernel_id": "52606862"}, {"ref": "richolson/test-prompt-most-positive-prompt-in-the-world", "kernel_id": "52613384"}, {"ref": "richolson/the-promptiest-prompt-t5", "kernel_id": "52749773"}, {"ref": "richolson/t5-prompt-scoring-playground", "kernel_id": "52735979"}, {"ref": "richolson/mixtral-8x7b-prompt-recovery", "kernel_id": "52870666"}, {"ref": "richolson/the-worst-prompt-all-the-ideas-37-lb", "kernel_id": "52880031"}, {"ref": "richolson/is-it-prompt-original-text-or-just-prompt", "kernel_id": "52876007"}, {"ref": "richolson/t5-is-all-you-need", "kernel_id": "52894710"}, {"ref": "dbtmddn41/perplexity-baseline-mistral7b-instruct-v0-1-hf", "kernel_id": "52428879"}, {"ref": "dbtmddn41/prompt-recovery-keras-tpu-train", "kernel_id": "52892871"}, {"ref": "dbtmddn41/prompt-recovery-lora-fine-tuned-inference", "kernel_id": "52998491"}, {"ref": "armanzhalgasbayev/prompt-recovery-with-gemma", "kernel_id": "52667891"}, {"ref": "mohamedalibelloum/llm-prompt-predict", "kernel_id": "52731981"}, {"ref": "serhiikharchuk/simplepandas", "kernel_id": "52052813"}, {"ref": "serhiikharchuk/pandas-sklearn", "kernel_id": "52052981"}, {"ref": "kanyaratp29/csc532-prompt-recovery-8-5k-gemma-kerasnlp", "kernel_id": "52985309"}, {"ref": "shahik15/gemma-notebook15", "kernel_id": "52365508"}, {"ref": "rushaliny/prompt-engineer", "kernel_id": "52433239"}, {"ref": "karsonkosek/llm-prompt-baseline-kad", "kernel_id": "52675530"}, {"ref": "dalelinn/kad240312", "kernel_id": "52189561"}, {"ref": "desalperterson/simplepandas", "kernel_id": "52287618"}, {"ref": "zhengrobertjia7/llm-prompt-recovery", "kernel_id": "52949917"}, {"ref": "orpheuswalker/gemma-transformer-with-unsloth", "kernel_id": "52415736"}, {"ref": "lukasabruderer/style-rewrite-prompt-inference", "kernel_id": "52033911"}, {"ref": "medhavidarshan34/generate-9k-instances-in-15-mins", "kernel_id": "52189532"}, {"ref": "electro2616/the-process-of-submitting-a-fine-tuned-model", "kernel_id": "52439989"}, {"ref": "toshik/improve-that-text-with-original-text", "kernel_id": "53191272"}, {"ref": "letfoolsdie/0-64-mistral-mean-prompt", "kernel_id": "53982472"}, {"ref": "dineshkumarm/training-gemma-model", "kernel_id": "53360314"}, {"ref": "garried/training-with-gemma-lora", "kernel_id": "53833047"}, {"ref": "rishabh15virgo/gemma2b-prompt-prediction-v1", "kernel_id": "53488970"}, {"ref": "rishabh15virgo/gemma2b-prompt-prediction-v2", "kernel_id": "53711816"}, {"ref": "neos960518/using-mixtral-to-predict-prompt", "kernel_id": "53190913"}, {"ref": "pedromoya/1th-using-pretraining-huggingface-submission", "kernel_id": "53303695"}, {"ref": "pedromoya/1th-very-simple-submission-nb", "kernel_id": "53339027"}, {"ref": "pedromoya/1th-metapromptft-g2ien-submission-nb", "kernel_id": "53139383"}, {"ref": "pedromoya/2th-bl-t5-bertfmasked-lm-submission", "kernel_id": "53503099"}, {"ref": "lognorm/prompt-generation-with-context-free-grammars", "kernel_id": "53144225"}, {"ref": "mozhiwenmzw/0-61-llmpr-phi2-sft-model-generate-infer", "kernel_id": "53588164"}, {"ref": "mozhiwenmzw/0-61-llmpr-phi2-sft-model-training", "kernel_id": "53594750"}, {"ref": "winddude/do-prefixes-affect-rewrites", "kernel_id": "53573719"}, {"ref": "winddude/can-text-embeddings-reveal-a-mean-prompt", "kernel_id": "53358012"}, {"ref": "mrt0933/moth-s-seq2seq-with-template-corpus", "kernel_id": "53337300"}, {"ref": "taikimori/mean-prompt-ensemble-with-vec2text", "kernel_id": "53403449"}, {"ref": "taikimori/mean-ensemble-lb-result", "kernel_id": "53425727"}, {"ref": "taikimori/lb-0-59-refine-this-text-by-writing-it", "kernel_id": "53607658"}, {"ref": "ppjy927/llm-prompt", "kernel_id": "53369377"}, {"ref": "ahmadsaladin/style-prediction-w-mixtral-mistral7b-gem", "kernel_id": "53441643"}, {"ref": "taras456/dataset-preparation", "kernel_id": "53139824"}, {"ref": "wangyuren/generating-data-with-gemma", "kernel_id": "53788713"}, {"ref": "tmhrkt/llmpr-gemini-to-generate-prompt-with-topic", "kernel_id": "53400078"}, {"ref": "tmhrkt/llmpr-supplementary-original-text-generation", "kernel_id": "53202605"}, {"ref": "isakatsuyoshi/single-prompt-of-z", "kernel_id": "53049546"}, {"ref": "vladislavkolesov/generating-data-through-gemma7b-1000-texts-6h", "kernel_id": "53714487"}, {"ref": "miteshadake/llmlan3", "kernel_id": "53245442"}, {"ref": "nabojyotipandey/fine-tuning-with-gemma-2b-c7aa07", "kernel_id": "53607517"}, {"ref": "nabojyotipandey/prompting-strategies", "kernel_id": "53292036"}, {"ref": "fadhaaali/beginner-notebook", "kernel_id": "53287897"}, {"ref": "adrienriaux/siamese-encoder-decoder-with-attention", "kernel_id": "53662830"}, {"ref": "ovrk12/gemma-test", "kernel_id": "53908530"}, {"ref": "jackjai/llm-competition", "kernel_id": "53737510"}, {"ref": "seifachour12/lb-score-0-63", "kernel_id": "53982149"}, {"ref": "shunsukehashiguchi/llm-prompt-recovery", "kernel_id": "53199319"}, {"ref": "jyoti404/llm-prompt-recovery-by-randomforest", "kernel_id": "53567175"}, {"ref": "jyoti404/llm-prompt-recovered-by-gemma-mistral-phi", "kernel_id": "53565550"}, {"ref": "linchenyu/lb0-65-mistral7b-with-predictioin-and-mean-prompt", "kernel_id": "53220035"}, {"ref": "lordmoh/gemma-model", "kernel_id": "53269411"}, {"ref": "khan1803115/llm-prompt-recovery-solution-lb-0-62", "kernel_id": "53822575"}, {"ref": "kishanvavdara/gemma-7b-it-quant-inference-on-multi-gpu", "kernel_id": "53866137"}, {"ref": "abhijeetkrjha003/peftadaptermodel", "kernel_id": "53784054"}, {"ref": "abhijeetkrjha003/gener-detection", "kernel_id": "53237839"}, {"ref": "mayaunnikrishnan/gemma-prompt-generation", "kernel_id": "53315981"}, {"ref": "wuxiognwei2/prompt-recovery-with-gemma-kerasnlp-starter", "kernel_id": "53387653"}, {"ref": "richolson/mistral-7b-prompt-recovery-version-2", "kernel_id": "53486327"}, {"ref": "richolson/test-prompt-throbbing-gristle", "kernel_id": "53481658"}, {"ref": "richolson/mistral-7b-t5-scoring", "kernel_id": "53050148"}, {"ref": "richolson/mistral-fine-tune-no-pineapple-on-pizza-train", "kernel_id": "53217250"}, {"ref": "richolson/proby-mcprobeface", "kernel_id": "53317070"}, {"ref": "richolson/inst-make-some-templatized-training-data-inst", "kernel_id": "53271113"}, {"ref": "richolson/mistral-tune-for-prompt-recovery-train", "kernel_id": "53270203"}, {"ref": "richolson/mistral-tune-for-prompt-recovery-run", "kernel_id": "53270401"}, {"ref": "richolson/spacy-mean-prompt-modification-just-cpu", "kernel_id": "53910110"}, {"ref": "richolson/t5-travesty-when-good-prompts-score-bad", "kernel_id": "53667550"}, {"ref": "richolson/mistral-mean-modifier", "kernel_id": "53818930"}, {"ref": "stan111111/notebook-threw-exception-solved1", "kernel_id": "53884933"}, {"ref": "pathfinderkr/llm-prompt-recovery", "kernel_id": "53788311"}, {"ref": "shadesh/llm-prompt-recovery-using-pretrained-llm", "kernel_id": "53713055"}, {"ref": "shadesh/promptrecover-deciphering-llm-rewrites-for-text", "kernel_id": "53550763"}, {"ref": "qamarmath/llm-prompt-recovery", "kernel_id": "53468604"}, {"ref": "olinee/prompt-recovery-with-gemma-kerasnlp-starter", "kernel_id": "53438610"}, {"ref": "cokkies/prompt-engineer", "kernel_id": "53804293"}, {"ref": "minhsienweng/prompt-recovered-by-gemma-mistral-phi", "kernel_id": "53500204"}, {"ref": "fanhuaiyuan/reduce-memory-all-dataset", "kernel_id": "53451540"}, {"ref": "sshkhu/generate-bt-chatgpt-4-0-with-another-language", "kernel_id": "53769666"}, {"ref": "karsonkosek/chain-prompt-kad", "kernel_id": "53828582"}, {"ref": "arbaazbeg/prompting-submission", "kernel_id": "53287382"}, {"ref": "moyudaduizhang/0-61-llmpr-phi2-sft-model-training", "kernel_id": "53645935"}, {"ref": "alessandrodrago1/mistral-7b-prompt-recovery-evaluation", "kernel_id": "53949415"}, {"ref": "curiouscyborgs/llm-prompt-recovery", "kernel_id": "53408889"}, {"ref": "isrswsiser/mistral-7b-prompt-recovery-adaptermodel", "kernel_id": "53540145"}, {"ref": "philippsinger/psinger-cool-bean-v1", "kernel_id": "54220924"}, {"ref": "philippsinger/psinger-cool-bean-v4", "kernel_id": "54367027"}, {"ref": "ironbar/autobots-roll-out", "kernel_id": "54427327"}, {"ref": "ybabakhin/ybabakhin-gen-data-all", "kernel_id": "54351187"}, {"ref": "ybabakhin/ybabakhin-gen-data-all-data-v8-mistral", "kernel_id": "54786840"}, {"ref": "dineshkumarm/rag-based-solution", "kernel_id": "54315947"}, {"ref": "garried/competition-submission-from-fine-tuned-llm", "kernel_id": "54023448"}, {"ref": "dmitriyab/gemma-7b-tpu-generation-2", "kernel_id": "54512205"}, {"ref": "dmitriyab/fifth-place-solution", "kernel_id": "54462047"}, {"ref": "baomengjiao/magic", "kernel_id": "54831724"}, {"ref": "gordyii/llm-phi2-prompt-recovery", "kernel_id": "54599879"}, {"ref": "pdx250697/perplexity-baseline-phi-2-gemma-7b-it-latest-ver", "kernel_id": "54601600"}, {"ref": "thedrcat/mean-prompt-exploratory", "kernel_id": "54057121"}, {"ref": "suicaokhoailang/1st-place-0-71", "kernel_id": "54827098"}, {"ref": "pedromoya/1th-q4openchat-pytorch-model", "kernel_id": "54162436"}, {"ref": "pedromoya/4th-q4openchat-pytorch-model", "kernel_id": "54624916"}, {"ref": "arc144/cluster-prompts", "kernel_id": "54314072"}, {"ref": "rajo09/llm-mean-prompt-adverserial-attack", "kernel_id": "54831253"}, {"ref": "ilu000/2nd-place-team-danube-llm-prompt-recovery", "kernel_id": "54795120"}, {"ref": "rimwrecker/fine-tuned-gemma", "kernel_id": "54433900"}, {"ref": "dhirajmwagh1111/llm-prompt-recovery-very-simple-appratch", "kernel_id": "54232977"}, {"ref": "taikimori/find-optimal-mean-prompts-with-genetic-algorithm", "kernel_id": "54299163"}, {"ref": "taikimori/mistral-7b-mean-prompt-customization", "kernel_id": "54909662"}, {"ref": "taikimori/finetune-mistral7b-it-v0-2-with-lora", "kernel_id": "54859407"}, {"ref": "ppjy927/spacy-mean-prompt-modification-just-cpu", "kernel_id": "54267108"}, {"ref": "taras456/7th-place-solution-mean-prompt-llm", "kernel_id": "54628270"}, {"ref": "mayakaripel/notebooked1862de0c", "kernel_id": "54707831"}, {"ref": "mayakaripel/notebook693c91cad1", "kernel_id": "54480310"}, {"ref": "lenferdetroud/llm-prompt-recovery", "kernel_id": "54525901"}, {"ref": "lenferdetroud/perplexity-baseline-phi-2-gemma-7b-it", "kernel_id": "54488610"}, {"ref": "lenferdetroud/prompt-recovered-by-gemma-mistral-phi", "kernel_id": "54488694"}, {"ref": "vladislavkolesov/0-61-pb-llmpr-phi2-sft-model-infer-better-dataset", "kernel_id": "54546183"}, {"ref": "vladislavkolesov/0-61-llmpr-phi2-sft-model-training", "kernel_id": "54520963"}, {"ref": "vladislavkolesov/0-64-pb-mistral-7b-prompt-predict", "kernel_id": "54333562"}, {"ref": "abdulkadirguner/15nisan-stage1-tekli", "kernel_id": "54733520"}, {"ref": "yusefkaggle/4th-place", "kernel_id": "54744775"}, {"ref": "marxkwack/lb-score-0-63", "kernel_id": "54248873"}, {"ref": "rosso01/notebookab8099e4b3", "kernel_id": "54771413"}, {"ref": "bjba99/private-lb-of-0-6090-using-twython-sentiment", "kernel_id": "54436339"}, {"ref": "satyaprakashshukl/llm-prompt-eda-recovery", "kernel_id": "54368645"}, {"ref": "sanathgoutham/mistral7bpromptrecovery0-65lb", "kernel_id": "54309094"}, {"ref": "neilus/llama-2-13b-inference-w-o-lora", "kernel_id": "54831867"}, {"ref": "evgeniimaslov2/pr-llm-1st-place-adv-attack", "kernel_id": "54850659"}, {"ref": "alexandersaavedra/alex-prachi-final-submission-bert-topic", "kernel_id": "54816995"}, {"ref": "yangminseok/llm-prompt-recovery-baseline", "kernel_id": "54315741"}, {"ref": "nickitarusanov/tender-hack-notebook", "kernel_id": "54083796"}, {"ref": "kevenpeter/prompt-recovered-by-gemma-mistral-phi", "kernel_id": "54355704"}, {"ref": "anandkumarkushwaha/llm-rrecovered-prompts-into-a-markdown-file", "kernel_id": "54005553"}, {"ref": "cemuzzamil/llmpr-140424", "kernel_id": "54659542"}, {"ref": "dbtmddn41/prompt-recovery-hf-lora-inference", "kernel_id": "54380370"}, {"ref": "dbtmddn41/prompt-recovery-template-prompt", "kernel_id": "54026840"}, {"ref": "qamarmath/text-rewrite-detective-unveiling-changes-with-lar", "kernel_id": "54001927"}, {"ref": "sxwang1/llm-prompt-recovery", "kernel_id": "54832728"}, {"ref": "assignmeai/easy-to-use-unslot-wheel", "kernel_id": "54761547"}, {"ref": "minhsienweng/submission-llm-prompt-recovery-using-llm", "kernel_id": "54383213"}, {"ref": "furkanashfaqshaikh/version-16", "kernel_id": "54143211"}, {"ref": "shreyash8260/unraveling-text-rewrites-decoding-llm-prompts", "kernel_id": "54665689"}, {"ref": "zhengrobertjia7/fork-of-llm-prompt-recovery", "kernel_id": "54498029"}, {"ref": "bizonator/autumn-leaf-fall-version-1", "kernel_id": "54002206"}, {"ref": "aanandaint/starling-icholson-mistral-7b-prompt-recovery-v2", "kernel_id": "54076215"}, {"ref": "yingzheliu/llmpr-gemma-fine-tune", "kernel_id": "54712415"}, {"ref": "mayukhhaldar1/llm-prompt-recovery-final", "kernel_id": "54397045"}, {"ref": "urvikagola/llm-prompt-recovery", "kernel_id": "54815417"}, {"ref": "yinjiashu/prompt-recovered-by-gemma-mistral-phi", "kernel_id": "54571928"}, {"ref": "yinjiashu/infer-with-eval", "kernel_id": "54576226"}, {"ref": "dmitriyab/fifth-place-solution-var-2", "kernel_id": "55793977"}, {"ref": "ferdinandlimburg/6th-place-solution-llm-mean-t5-decoding", "kernel_id": "55337949"}, {"ref": "taras456/mean-prompt-training", "kernel_id": "55402158"}, {"ref": "danb91/graph-questions-gemini-langchainph", "kernel_id": "55803350"}, {"ref": "shivamtaneja2304/0-64-lb-re-order-words", "kernel_id": "55526014"}, {"ref": "frankginac/fork-of-llm-prompt-recovery", "kernel_id": "55410742"}, {"ref": "neilus/llama-2-13b-inference-w-qlora", "kernel_id": "55211852"}, {"ref": "cyberdeeplearning/adverserial-attack-on-llm", "kernel_id": "55338160"}, {"ref": "royayon/submission-training-zbyhp", "kernel_id": "58309268"}, {"ref": "satishacgoudar/fifth-place-solution-4", "kernel_id": "58651933"}, {"ref": "xavierspycy/llm-prompt-recovery-release", "kernel_id": "61030332"}, {"ref": "tsr564/mixtral-experiment", "kernel_id": "68091935"}, {"ref": "salmarashwan/llm-prompt-recovery-fine-tuning-t5-for-success", "kernel_id": "68313332"}, {"ref": "syddzheng/data-privacy-llm-prompt-recovery", "kernel_id": "69753124"}, {"ref": "hongbotrn/starter-llm-rag-implementation", "kernel_id": "69523302"}, {"ref": "beryl0528/mixtral-mistral7b-gemma-llama", "kernel_id": "71939940"}, {"ref": "beryl0528/final-project-nlp", "kernel_id": "71600145"}, {"ref": "beryl0528/perplexity-baseline-phi-2-gemma-7b-it", "kernel_id": "71607278"}, {"ref": "eveanac/phi-2", "kernel_id": "71850519"}, {"ref": "aliendo/notebook16761435ba", "kernel_id": "71808277"}, {"ref": "aaethel/term-project", "kernel_id": "71586777"}, {"ref": "simon0919/generate-new-prompt", "kernel_id": "71750958"}, {"ref": "chonganwang/mistral-7b-mean-prompt-customization", "kernel_id": "71909211"}, {"ref": "andychen09230/mistral-7b-prompt-predict-private", "kernel_id": "71612193"}, {"ref": "e54064034/copy-gemma-kerasnlp-starter", "kernel_id": "72129915"}, {"ref": "beryl0528/gemma2", "kernel_id": "72317455"}, {"ref": "syddzheng/data-privacy-mean-prompt-fine-tuned-mistral-t", "kernel_id": "72859781"}, {"ref": "syddzheng/data-privacy-mistral-fine-tuned-with-lora", "kernel_id": "72849164"}, {"ref": "syddzheng/data-privacy-finetuned-mistral", "kernel_id": "72631736"}, {"ref": "syddzheng/data-privacy-eda-and-8-shot", "kernel_id": "72787918"}, {"ref": "eveanac/notebooke3956ec6f2", "kernel_id": "72454198"}, {"ref": "eveanac/llm-phi2", "kernel_id": "72511808"}, {"ref": "erererrtrtrt/test-1", "kernel_id": "72549680"}, {"ref": "andychen09230/final-project-nlp-734de1", "kernel_id": "72105138"}, {"ref": "githumax/llm-99", "kernel_id": "72880306"}, {"ref": "uri456467/term-project-cp1-niu-115", "kernel_id": "72241874"}, {"ref": "hyunsukko/promptgenerator-qwen-2-5-7b", "kernel_id": "73930851"}, {"ref": "hyunsukko/finetuning-gemma2-9b", "kernel_id": "73747961"}, {"ref": "hyunsukko/promptgenerator-gemma-7b", "kernel_id": "73815319"}, {"ref": "hyunsukko/dynamicpromptgenerator", "kernel_id": "73801747"}, {"ref": "e54064034/test-flan-t5", "kernel_id": "73030289"}, {"ref": "eveanac/test-phi", "kernel_id": "73210321"}, {"ref": "qamarmath/llm-prompt-recovery-2", "kernel_id": "73782626"}, {"ref": "githumax/notebook42b9f6d24a", "kernel_id": "73220216"}, {"ref": "kagglehyunter/finetuning-gemma-7b", "kernel_id": "73059940"}, {"ref": "hyunsukko/meanprompt", "kernel_id": "74281890"}, {"ref": "danilalapokin/goemotion-prompt-selection-gemma-7b", "kernel_id": "74967905"}, {"ref": "sohithbandari/llama-3-2-3b-llm-prompt-recovery", "kernel_id": "74313980"}, {"ref": "fanyang99/0-61-phi-removing-garbage", "kernel_id": "76464568"}, {"ref": "vyacheslavoschepkov/llm-promt-recovery", "kernel_id": "80168491"}, {"ref": "emanuelruzak/fine-tune-model-for-prompt-recovery", "kernel_id": "81550935"}, {"ref": "verifyitisyou/infer-recovery-with-gemma-prompt-2-0-starter", "kernel_id": "88510564"}, {"ref": "nekofoxball/llm-cluster-naming", "kernel_id": "103297113"}, {"ref": "ax130885/my-llm-prompt-recovery", "kernel_id": "103262445"}, {"ref": "yuting0409/notebook5b0d032cb9", "kernel_id": "103240339"}, {"ref": "yuyiolulu/llm-prompt", "kernel_id": "104872483"}, {"ref": "thisisroni/notebookcfb89e26c4", "kernel_id": "104870724"}, {"ref": "redtimeszero/gemma-2-mistral-2", "kernel_id": "105449040"}, {"ref": "redtimeszero/gemma-mistral-lucrarea-5", "kernel_id": "105420787"}, {"ref": "gripet/notebookc24b809d6d", "kernel_id": "120649779"}, {"ref": "mdabdulalhasib/learn-text-generation-through-practice", "kernel_id": "124499447"}]}
{"competition_id": "67126", "kernels": [{"ref": "wessimomezzine/gans-image-upscale", "kernel_id": "50109101"}]}
{"competition_id": "67156", "kernels": [{"ref": "monika105/academic-query-classification-monika-singh", "kernel_id": "50496760"}, {"ref": "haaarish86/notebookf06d0dce48", "kernel_id": "50264387"}, {"ref": "sanjeevikumarkv/embibe-assignment", "kernel_id": "50146060"}, {"ref": "kobikrishna/assigment-1", "kernel_id": "50241398"}, {"ref": "gowthamkaruppaiahs/assignment-1", "kernel_id": "50244529"}, {"ref": "soubhagyakg/text-classification-model-0", "kernel_id": "50246832"}, {"ref": "rvijaykumar40021/notebooke16d05ba3d", "kernel_id": "50302226"}, {"ref": "prathmesh2002/acedemic-quary", "kernel_id": "50265757"}, {"ref": "ameeta96/assignment", "kernel_id": "52666768"}, {"ref": "retinagalaxy/embibe-assignment", "kernel_id": "52722745"}, {"ref": "rajunaik29/embibe-assignment", "kernel_id": "52694664"}, {"ref": "pranavadhau/embibe-assignment1", "kernel_id": "52650651"}, {"ref": "joejose14/assignment", "kernel_id": "52709513"}, {"ref": "pranavsakhala1428/embibe-assignment", "kernel_id": "52844916"}]}
{"competition_id": "67166", "kernels": []}
{"competition_id": "67223", "kernels": [{"ref": "manujosephv/benchtab-pytorch-tabular-starter", "kernel_id": "49524660"}, {"ref": "lucasmorin/benchtab-linear-models", "kernel_id": "49482672"}, {"ref": "lucasmorin/benchtab-v1-catboost-ensemble", "kernel_id": "49180725"}, {"ref": "lucasmorin/benchtab-v1-lgbms", "kernel_id": "49797555"}, {"ref": "lucasmorin/benchtab-v1-ohe-xgboost", "kernel_id": "49917956"}, {"ref": "thomasmeiner/benchtab-v1-xgboost-via-bluecast", "kernel_id": "49751121"}, {"ref": "thomasmeiner/benchtab-ngboost-ensemble-failing", "kernel_id": "49712376"}, {"ref": "thomasmeiner/benchtab-challenger-vowpalwabbit-ensemble", "kernel_id": "49415179"}, {"ref": "jimgruman/brulee-benchtab", "kernel_id": "49482177"}, {"ref": "jimgruman/xgboost-benchtab", "kernel_id": "49476633"}, {"ref": "jimgruman/tabnet-benchtab", "kernel_id": "49493464"}, {"ref": "jimgruman/lightgbm-benchtab", "kernel_id": "49430456"}, {"ref": "jano123/symbolic-model-1s", "kernel_id": "49756787"}, {"ref": "jano123/benchtab-symbolic-model", "kernel_id": "49753919"}, {"ref": "syerramilli/benchtab-v1-xgboost-with-some-tuning", "kernel_id": "53203566"}, {"ref": "syerramilli/benchtab-v1-histgradientboosting-early-stopping", "kernel_id": "53418690"}, {"ref": "syerramilli/benchtab-v1-lightgbm-early-stopping", "kernel_id": "53429490"}, {"ref": "syerramilli/benchtab-v1-lightgbm-optuna", "kernel_id": "56765338"}]}
{"competition_id": "67238", "kernels": [{"ref": "sergeydeev/notebook9b7443db0c", "kernel_id": "49690536"}]}
{"competition_id": "67244", "kernels": []}
{"competition_id": "67279", "kernels": [{"ref": "prahasranjan/hate-span-detection", "kernel_id": "56069428"}, {"ref": "supremeone/hate-span-detection", "kernel_id": "56582135"}]}
{"competition_id": "67291", "kernels": []}
{"competition_id": "67325", "kernels": []}
{"competition_id": "67356", "kernels": [{"ref": "andrewdblevins/leash-tutorial-ecfps-and-random-forest", "kernel_id": "53817505"}, {"ref": "seshurajup/eda-smiles", "kernel_id": "53989925"}, {"ref": "mpwolke/belka-pysmiles-duckdb", "kernel_id": "53987238"}, {"ref": "agastyapulapaka/leash-tutorial-molecular-graphs-and-gnns", "kernel_id": "53827226"}, {"ref": "latticetower/belka-is-nuts-train-preprocessing-eda", "kernel_id": "54368376"}, {"ref": "grayjay/leash-starter-code-for-8gb-laptop", "kernel_id": "54451188"}, {"ref": "makio323/belka-shrunken-dataset-with-unified-smiles-index", "kernel_id": "54643118"}, {"ref": "sdlee94/belka-molecule-representations-for-ml-tutorial", "kernel_id": "54882684"}, {"ref": "sdlee94/belka-random-forest-with-rdkit-descriptors-demo", "kernel_id": "54994945"}, {"ref": "seshurajup/buildingblock-analysis-smiles-transformer", "kernel_id": "54348544"}, {"ref": "chemdatafarmer/additional-seh-data", "kernel_id": "54284289"}, {"ref": "chemdatafarmer/scaffold-exploration", "kernel_id": "54499523"}, {"ref": "alexandervc/chembert2a-smiles-embeddings-for-beginners", "kernel_id": "54590755"}, {"ref": "alexandervc/siamese-smole-bert-smiles-embeddings-for-beginners", "kernel_id": "54641459"}, {"ref": "mpwolke/deepchem-molecular-solubility", "kernel_id": "54104477"}, {"ref": "pjbhaumik/0-453-leash-bio-predict-new-medicines-with-belka", "kernel_id": "54899105"}, {"ref": "atsuno/belka-rdkit-descriptors", "kernel_id": "54159831"}, {"ref": "atsuno/belka-topological-fp-v-s-atom-pair-fp-v-s-ecfp", "kernel_id": "54072033"}, {"ref": "mehrankazeminia/p-6-6-belka-competition-submission-knn", "kernel_id": "54936446"}, {"ref": "beckpro/lightgbm-fold-voting-baseline-lb-0-408", "kernel_id": "54046268"}, {"ref": "wangyuren/predict-new-medicine", "kernel_id": "54140633"}, {"ref": "tomaszszyrowski/belka-eda-for-parquet", "kernel_id": "54844007"}, {"ref": "tomaszszyrowski/belka-baseline-logisticr-rdkit", "kernel_id": "54734469"}, {"ref": "tomaszszyrowski/belka-baseline-logistic-regression", "kernel_id": "54733124"}, {"ref": "bunny11/leash-bio-belka", "kernel_id": "54223873"}, {"ref": "shlomoron/belka-shrunken-train-set-loading", "kernel_id": "54102454"}, {"ref": "shlomoron/belka-shrinking-the-dataset", "kernel_id": "54070874"}, {"ref": "motono0223/leash-bio-automl-baseline", "kernel_id": "54139868"}, {"ref": "motono0223/leash-bio-onehot-encoder", "kernel_id": "54505191"}, {"ref": "ravi20076/belka2024-baseline-training", "kernel_id": "54155969"}, {"ref": "ravi20076/belka2024-baseline-submission", "kernel_id": "54156132"}, {"ref": "ravi20076/belka2024-blender", "kernel_id": "54179901"}, {"ref": "ravisinghiitbhu/leash-bio-day0", "kernel_id": "54273398"}, {"ref": "kapturovalexander/kapturov-s-solution-of-leash-bio-1", "kernel_id": "54079107"}, {"ref": "antoninadolgorukova/belka-reading-and-quick-stats", "kernel_id": "54026559"}, {"ref": "antoninadolgorukova/belka-feature-engineering", "kernel_id": "54124045"}, {"ref": "antoninadolgorukova/belka-bb-activity", "kernel_id": "54879074"}, {"ref": "elongm/belka-create-compressed-db", "kernel_id": "54575580"}, {"ref": "elongm/belka-compressed-dataset-usage", "kernel_id": "54737001"}, {"ref": "shadesh/data-inspection-and-preliminary-analysis-script", "kernel_id": "54510421"}, {"ref": "vishalsinghsangral/new-drug-discovery", "kernel_id": "54432688"}, {"ref": "nikolenkosergei/leash-tutorial-ecfps-and-xgboost", "kernel_id": "54019921"}, {"ref": "taichiuemura/belka-eda", "kernel_id": "54240328"}, {"ref": "latticetower/belka-is-nuts-from-blocks-to-fragments", "kernel_id": "55899927"}, {"ref": "drpatrickchan/pubchempy-demo", "kernel_id": "55873831"}, {"ref": "ogurtsov/one-more-way-to-deal-with-large-than-ram-data", "kernel_id": "55886935"}, {"ref": "kousukeota/belka-002-introduce-chem", "kernel_id": "55940064"}, {"ref": "kousukeota/belka-003-lgb-with-ecfp", "kernel_id": "55956251"}, {"ref": "kousukeota/belka-001-unique-value-summary", "kernel_id": "55616280"}, {"ref": "thedrcat/belka-split-cv-like-the-host", "kernel_id": "55403610"}, {"ref": "chemdatafarmer/cheminformatics-transformations", "kernel_id": "55505600"}, {"ref": "tetsuya3510/leash-bio-chemberta-baseline", "kernel_id": "55066620"}, {"ref": "ricopue/leashbio-create-10m-sample-data-and-ecfp", "kernel_id": "55157451"}, {"ref": "ricopue/leashbio-xgb-ecfp-10m-sample-rows", "kernel_id": "55486922"}, {"ref": "ahsuna123/anusha-s-research-book-3d-visualization", "kernel_id": "55376291"}, {"ref": "saurav9786/predictions-with-belka-xgboost-cv", "kernel_id": "55081512"}, {"ref": "ewananderson/chemberta", "kernel_id": "55690630"}, {"ref": "gowsikkans/leash-bio-with-belka", "kernel_id": "55836788"}, {"ref": "atsuno/belka-graphical-understanding-of-metric-ap", "kernel_id": "55939277"}, {"ref": "atsuno/belka-gat-baseline-train-inference", "kernel_id": "55624037"}, {"ref": "mehrankazeminia/5-belka-submission-autogluon-frag1-2-3", "kernel_id": "55376656"}, {"ref": "mehrankazeminia/p-6-6-belka-competition-submission-lgbm", "kernel_id": "55102225"}, {"ref": "caseyher/vizualize-molecules-using-rdkit", "kernel_id": "55255837"}, {"ref": "tomaszszyrowski/belka-baseline-nn", "kernel_id": "55374782"}, {"ref": "anmolstha1/is-this-a-good-way-to-handle-large-data", "kernel_id": "55254429"}, {"ref": "bernhardrohde/analyzing-the-del-challenge-dataset", "kernel_id": "55614736"}, {"ref": "mhadani/leash-ecfp-gradient-boosting", "kernel_id": "55897475"}, {"ref": "hhoang41/leash-bio-chemberta", "kernel_id": "55317896"}, {"ref": "motono0223/leash-bio-automl-train-seh", "kernel_id": "55290030"}, {"ref": "motono0223/leash-bio-automl-train-hsa", "kernel_id": "55288434"}, {"ref": "motono0223/leash-bio-automl-train-brd4", "kernel_id": "55286349"}, {"ref": "humaperveen/belka2024-blender", "kernel_id": "55311017"}, {"ref": "aliabedimadiseh/leash-bio-competition-preprocessing", "kernel_id": "55929760"}, {"ref": "michaszafarczyk/molecular-fingerprints-using-scikit-fingerprints", "kernel_id": "55983797"}, {"ref": "antoninadolgorukova/belka-generalizability-similarity", "kernel_id": "55054812"}, {"ref": "antoninadolgorukova/belka-bb-similarity", "kernel_id": "55524124"}, {"ref": "gallo33henrique/belka-llm-bio-chemberta-new-medicines", "kernel_id": "55488782"}, {"ref": "nadereafshar/belka-dataprep", "kernel_id": "55028362"}, {"ref": "yujansaya/chemensemble-molecular-binding-with-ensemble", "kernel_id": "55023654"}, {"ref": "yujansaya/chemistry-with-llm-llasmol", "kernel_id": "55281906"}, {"ref": "abosol/experiment-with-ibis", "kernel_id": "56344772"}, {"ref": "hengck23/lb0-602-graph-nn-example", "kernel_id": "56929587"}, {"ref": "hengck23/how-to-probe", "kernel_id": "56800326"}, {"ref": "kousukeota/belka-006-pca-and-clustering", "kernel_id": "56208702"}, {"ref": "kousukeota/belka-010-save-transformed-testdata", "kernel_id": "56372197"}, {"ref": "kousukeota/belka-011-vae2", "kernel_id": "56328198"}, {"ref": "kousukeota/belka-009-save-transformed-traindata", "kernel_id": "56321653"}, {"ref": "kousukeota/belka-007-vae", "kernel_id": "56275279"}, {"ref": "junkoda/unknowns-in-public-test-set", "kernel_id": "56107787"}, {"ref": "sorkun/belka-eda", "kernel_id": "56949894"}, {"ref": "toshihikok/belka-1dcnn-starter-with-all-data-00", "kernel_id": "56024414"}, {"ref": "cuboorandell/ensemble-pb-0-601", "kernel_id": "56797591"}, {"ref": "yousrakateb/leash-tutorial-ecfps-and-random-forest", "kernel_id": "56405157"}, {"ref": "bernhardrohde/pivot-input-files", "kernel_id": "56307126"}, {"ref": "cafelatte1/81th-solution-1dcnn-with-all-data-feat-densenet", "kernel_id": "56884099"}, {"ref": "konstantinboyko/belka-1dcnn-starter-with-all-data", "kernel_id": "56017740"}, {"ref": "ahmedelfazouan/belka-1dcnn-starter-with-all-data", "kernel_id": "56009150"}, {"ref": "yusaku5739/smilesenumerator-augmentation-tool-for-smiles", "kernel_id": "56742500"}, {"ref": "saberghaderi/leash-bio-4149", "kernel_id": "56709819"}, {"ref": "yyyu54/pytorch-version-belka-1dcnn-starter-with-all-data", "kernel_id": "56562070"}, {"ref": "aliabedimadiseh/atom-features-extracted-leash-bio-competiton", "kernel_id": "56179800"}, {"ref": "aliabedimadiseh/submission-leash-bio", "kernel_id": "56327315"}, {"ref": "aliabedimadiseh/ecfp-and-other-features", "kernel_id": "56359409"}, {"ref": "horikitasaku/0-589-tokenize-in-terms-of-chemical-principles", "kernel_id": "56719981"}, {"ref": "triblex/belka-blender", "kernel_id": "56364671"}, {"ref": "sonyagrey/belka-competition", "kernel_id": "56996767"}, {"ref": "yongsukprasertsuk/leash-bio-ensemble-0-601", "kernel_id": "56393165"}, {"ref": "kishanvavdara/leash-bio-blender", "kernel_id": "56264077"}, {"ref": "tariqcp/simple-yet-powerful-approach-analyzing-full-data", "kernel_id": "56682440"}, {"ref": "nhlunng/basic-eda-plots-2d-3d-using-5-models-compare", "kernel_id": "56041987"}, {"ref": "baptistebgnd/molformer-shrunken-dataset", "kernel_id": "56936399"}, {"ref": "baptistebgnd/data-statistics-and-vizualisation", "kernel_id": "56156083"}, {"ref": "hengck23/dmcg-open-source-conformer-generator", "kernel_id": "57626521"}, {"ref": "hengck23/conforge-open-source-conformer-generator", "kernel_id": "57642066"}, {"ref": "hideakiogasawara/docking-simulation-using-dockstring", "kernel_id": "57810809"}, {"ref": "ambisinistra/leash-tutorial-ecfps-and-random-forest", "kernel_id": "57668592"}, {"ref": "joshualin24/graph-neural-network-baseline", "kernel_id": "57273713"}, {"ref": "joshualin24/data-visualization-rdkit", "kernel_id": "57200232"}, {"ref": "shivanibhasin/modeling-belka", "kernel_id": "57206386"}, {"ref": "xyznihal/xgboostclassifier-predict-new-medicines-with-belka", "kernel_id": "57117855"}, {"ref": "tariqcp/pyarrow-vs-duckdb-pandas-and-polars", "kernel_id": "57156026"}, {"ref": "sagarjha0316/xgboost-and-random-forest", "kernel_id": "57498551"}, {"ref": "jeffersusus/ensemble-pb-0-601", "kernel_id": "57550955"}, {"ref": "mohamedtharwatsakr/base-model", "kernel_id": "57531670"}, {"ref": "taroiwai/01-leashbio-eda-p-values", "kernel_id": "57670433"}, {"ref": "hideakiogasawara/chemspace-visualization", "kernel_id": "58764846"}, {"ref": "ren4yu/leash-split-for-noshare", "kernel_id": "58349190"}, {"ref": "fuumin621/leash-split-for-share", "kernel_id": "58562176"}, {"ref": "towardsentropy/mining-fingerprint-collisions", "kernel_id": "58763206"}, {"ref": "towardsentropy/fingerprint-tips-and-tricks", "kernel_id": "58323846"}, {"ref": "sanghokim/belka-shrunken-dataset-processed", "kernel_id": "58351859"}, {"ref": "mehrankazeminia/belka-2-protein-brd4-xgb-lgbm", "kernel_id": "58566137"}, {"ref": "mehrankazeminia/belka-3-protein-hsa-xgb-lgbm", "kernel_id": "58566311"}, {"ref": "mehrankazeminia/belka-1a-protein-seh-xgb-lgbm", "kernel_id": "58565819"}, {"ref": "mehrankazeminia/belka-1b-protein-seh-xgb-lgbm", "kernel_id": "58566020"}, {"ref": "xxxxyyyy80008/ecfps-and-lightgbm", "kernel_id": "58363690"}, {"ref": "blackwidow4/leash-bio-intro-eda", "kernel_id": "58536220"}, {"ref": "allisonej/1-upstage-ml-6-jej-eda", "kernel_id": "58768649"}, {"ref": "sacuscreed/graphormer", "kernel_id": "58536339"}, {"ref": "leesuhyoung/upstage-kaggle-ml", "kernel_id": "58918174"}, {"ref": "hibana2077/hibana-big-data-final-project", "kernel_id": "58382872"}, {"ref": "ibkya12/map-0-98-leashmp-competition", "kernel_id": "58399186"}, {"ref": "gallo33henrique/model-ml-xgboost-90-new-medicines-belka", "kernel_id": "58618876"}, {"ref": "mrizemltis/trying-1dconv-on-belka", "kernel_id": "58030334"}, {"ref": "frenio/leashbio-belka-smiles-vs-ais", "kernel_id": "58128789"}, {"ref": "studystuffme/belka-bert-finetuning", "kernel_id": "58989401"}, {"ref": "emrealty/predict-new-medicines-random-forest", "kernel_id": "58474790"}, {"ref": "minwangcnn/nb-14-multiple-correspondence-analysis-mca", "kernel_id": "58796579"}, {"ref": "minwangcnn/nb-05data-preprocess", "kernel_id": "58042142"}, {"ref": "baptistebgnd/create-cv-indexes", "kernel_id": "58877964"}, {"ref": "jeffersusus/leash-bio-4149-f9adc6", "kernel_id": "58638026"}, {"ref": "rhubainmageswaran/neurlps-belka-keras-functional-score0-3", "kernel_id": "58762853"}, {"ref": "hengck23/lb0-428-single-fold-transformer", "kernel_id": "59070272"}, {"ref": "xiaoazuzong/belka-1dcnn-starter-with-all-data-p-0-279", "kernel_id": "59110730"}, {"ref": "loki97/bio-predict-medicines", "kernel_id": "59260902"}, {"ref": "hugowjd/belka-1dcnn-with-all-data-15-folds-20-epoch", "kernel_id": "59485811"}, {"ref": "allisonej/0-leash-tutorial-ecfps-and-random-forest-edited", "kernel_id": "59130928"}, {"ref": "leesuhyoung/multi-model-lsh", "kernel_id": "59504843"}, {"ref": "bibhumohapatra18/notebook52db0aa9b1", "kernel_id": "59530301"}, {"ref": "hellokitty48/notebookb276959cbc", "kernel_id": "59584103"}, {"ref": "yeamimtouhid/belka-2-protein-brd4-xgb-lgbm", "kernel_id": "59194420"}, {"ref": "mingzhang09/test-v1", "kernel_id": "59093455"}, {"ref": "imranmithru/medicine-discovery", "kernel_id": "59285092"}, {"ref": "brysonkip/molecular-binding-with-ensemble", "kernel_id": "59753253"}, {"ref": "ishgirwan/faster-ecfp6-and-submission", "kernel_id": "60397056"}, {"ref": "christianmariothomas/leash-ecfps-and-xgboost", "kernel_id": "60825482"}, {"ref": "christianmariothomas/leash-ecfps-and-knn", "kernel_id": "60827093"}, {"ref": "pablodig/lb0-384-xgboost-2m-rows-dataset", "kernel_id": "60821764"}, {"ref": "aiaiaidavid/belka-prediction-and-submission-ecfp-sparse", "kernel_id": "60993343"}, {"ref": "aiaiaidavid/belka-model-training-and-evaluation-ecfp-sparse", "kernel_id": "60987104"}, {"ref": "ninamalyar/leash-tutorial-ecfps-and-random-forest", "kernel_id": "60013539"}, {"ref": "lenferdetroud/neurlps-2024-ensemble", "kernel_id": "60759549"}, {"ref": "lenferdetroud/tokenize-in-terms-of-chemical-principles", "kernel_id": "60759837"}, {"ref": "lenferdetroud/graph-nn", "kernel_id": "60760070"}, {"ref": "lenferdetroud/belka-1dcnn-starter-with-all-data", "kernel_id": "60760085"}, {"ref": "andrey67/leash-bio-blender-0-440", "kernel_id": "60852402"}, {"ref": "daegontaven/taudock-lightning-training", "kernel_id": "60856182"}, {"ref": "kartikeybartwal/compound-binding-affinity-using-catboost-and-belka", "kernel_id": "60775775"}, {"ref": "nitishadhikari/random-sampling-train-dataset-neurips-2024", "kernel_id": "60637180"}, {"ref": "rakshitsingh421/belka-converting-smiles-to-coulomb-matrix", "kernel_id": "60157893"}, {"ref": "meenalsaini/notebookdaa65469a1", "kernel_id": "60069757"}, {"ref": "meenalsaini/leash-tutorial-ecfps-and-random-forest", "kernel_id": "60070094"}, {"ref": "shlokoyo/first-gnn", "kernel_id": "60513703"}, {"ref": "shlokoyo/1st-checklist", "kernel_id": "60975279"}, {"ref": "nadereafshar/belka-model-cnn", "kernel_id": "60676086"}, {"ref": "nadereafshar/belka-modeling", "kernel_id": "60076040"}, {"ref": "maronychan/leash-bio-featurized-train-dataset-for-gtf", "kernel_id": "60699534"}, {"ref": "nextnlp/belkatrain", "kernel_id": "60224000"}, {"ref": "kacky355/belka-1dsexception-v3", "kernel_id": "60579393"}, {"ref": "nickyxuc/leashbio-12m-sample-data-and-ecfp", "kernel_id": "60071330"}, {"ref": "nickyxuc/bleash-xgb-tc", "kernel_id": "60384182"}, {"ref": "simonw5529/notebook1852b0be6d", "kernel_id": "60148377"}, {"ref": "lamthuy/transfer-bindingdb-features-with-otterknowledge", "kernel_id": "61141896"}, {"ref": "brycechamberlain/belka-train", "kernel_id": "61502309"}, {"ref": "avirdee/belka-openai-fine-tuning", "kernel_id": "61160043"}, {"ref": "ducduyvu/belka-shared-and-new-bbs-similarity-comparision", "kernel_id": "61983921"}, {"ref": "sacuscreed/pretraining", "kernel_id": "61812400"}, {"ref": "sacuscreed/hsa-0-4-v2-1-training", "kernel_id": "61812554"}, {"ref": "sacuscreed/bb1-cv-gnnt-submission", "kernel_id": "61714474"}, {"ref": "uzairshafique/predict-new-medicines-with-belka-gnn", "kernel_id": "61354746"}, {"ref": "samvelkoch/belka-interactive-leaderboard-and-shake", "kernel_id": "61802775"}, {"ref": "esabellechen/biolgbm", "kernel_id": "61525445"}, {"ref": "esabellechen/neurlps-with-convo1d", "kernel_id": "61697362"}, {"ref": "rakshitsingh421/belka-1dcnn-starter-with-all-data-00ff52", "kernel_id": "61464645"}, {"ref": "antoninadolgorukova/belka-gbdt-models-a-part-of-13th-place-solution", "kernel_id": "61853649"}, {"ref": "onsmasmoudi23/bind-competition-predict-new-medicines", "kernel_id": "61353458"}, {"ref": "alirezaataei/train-w-smile-vectors", "kernel_id": "61234869"}, {"ref": "alirezaataei/feature-extraction-with-resource-utilization", "kernel_id": "61140415"}, {"ref": "sukannadas/belka-voting-classifier", "kernel_id": "61756439"}, {"ref": "bibhumohapatra18/notebookd5c084b969", "kernel_id": "61215409"}, {"ref": "bibhumohapatra18/matfeaturizer", "kernel_id": "61296741"}, {"ref": "nadereafshar/belka-ecfp", "kernel_id": "61137904"}, {"ref": "piuspadayatti/belka-drug-discovery-run1", "kernel_id": "61647548"}, {"ref": "qiaoyingzhang/leash-ecfps-and-1dcnn", "kernel_id": "61100272"}, {"ref": "qiaoyingzhang/belka-1dcnn-with-all-data-20-folds-25-epoch", "kernel_id": "61327290"}, {"ref": "hengck23/example-to-use-gradcam-and-xsmiles", "kernel_id": "62988985"}, {"ref": "victorshlepov/belka2024-1stplacesolution", "kernel_id": "62537794"}, {"ref": "kirkdco/precision-by-protein-and-group", "kernel_id": "63310612"}, {"ref": "lililycai/ap-score-by-protein-and-group", "kernel_id": "63373621"}, {"ref": "abigailrl/abigail-levy-final-submission", "kernel_id": "64307153"}, {"ref": "tnglmng/l-m-negative-sampling", "kernel_id": "64518723"}, {"ref": "anilyagiz/predict-new-medicines-with-belka-gnn", "kernel_id": "65072924"}, {"ref": "antoninadolgorukova/belka-score-submissions", "kernel_id": "65037321"}, {"ref": "adilashrafi/big-data-29-crorerows-2-lines-of-code", "kernel_id": "66074685"}, {"ref": "dngbck/leash-tutorial-ecfps-and-random-forest-aaed8c", "kernel_id": "69912498"}, {"ref": "dngbck/model-ml-xgboost-90-accuracy-new-medicines-belka", "kernel_id": "69676819"}, {"ref": "dngbck/ecfps-and-random-forest", "kernel_id": "69968293"}, {"ref": "hinguynhng23/leash-tutorial-ecfps-and-random-forest", "kernel_id": "69895939"}, {"ref": "t8101349/250302-neurl-mat", "kernel_id": "77839134"}, {"ref": "t8101349/250302-neurl-gnn", "kernel_id": "77962289"}, {"ref": "t8101349/morgan-fingerprint", "kernel_id": "78403647"}, {"ref": "t8101349/topological-fingerprint", "kernel_id": "78414695"}, {"ref": "t8101349/final-xgboot-model-for-predict-medicine", "kernel_id": "79407298"}, {"ref": "abhishakel/notebookd5f60cfb38", "kernel_id": "80534509"}, {"ref": "shiqingshi/notebook", "kernel_id": "84112925"}, {"ref": "gg2003/nidhi-assignment", "kernel_id": "89264538"}, {"ref": "gg2003/internship-assignment", "kernel_id": "89249060"}, {"ref": "jeevans16/tokihub1", "kernel_id": "89057219"}, {"ref": "zhangkaihua88/deepchem-molecular-solubility", "kernel_id": "106889336"}, {"ref": "yujuanzhangai/predict-medicines-ecfps-and-lightgbm", "kernel_id": "106980225"}, {"ref": "tanveekariya/notebook05b80f071f", "kernel_id": "112258059"}, {"ref": "t8101349/predict-new-medicines-with-belka-pretrain-cnn-tran", "kernel_id": "116379390"}, {"ref": "t8101349/predict-new-medicines-with-belka-merge-data", "kernel_id": "116200910"}, {"ref": "t8101349/predict-new-medicines-with-belka-cnn-transformer", "kernel_id": "116955296"}, {"ref": "t8101349/predict-new-medicines-with-belka-merge-data2", "kernel_id": "117117942"}, {"ref": "charisselai/comparing-ml-models-for-belka-binder-prediction", "kernel_id": "121250326"}, {"ref": "t8101349/predict-new-medicines-chemberta-esmc-geglu-1", "kernel_id": "123790031"}, {"ref": "t8101349/predict-new-medicines-with-belka-rusessemble-data3", "kernel_id": "123420418"}, {"ref": "t8101349/predict-new-medicines-with-belka-rusessemble-data4", "kernel_id": "123420528"}, {"ref": "t8101349/predict-new-medicines-with-belka-rusessemble-data1", "kernel_id": "123417414"}, {"ref": "t8101349/predict-new-medicines-with-belka-rusessemble-data2", "kernel_id": "123418887"}, {"ref": "t8101349/predict-new-medicines-with-belka-rusessemble-data5", "kernel_id": "123420680"}, {"ref": "t8101349/predict-new-medicines-with-belka-rusessemble-data6", "kernel_id": "123420851"}, {"ref": "t8101349/predict-new-medicines-with-belka-rusessemble-cnn-1", "kernel_id": "123413597"}, {"ref": "t8101349/predict-new-medicines-with-belka-rusessemble-cnn-3", "kernel_id": "123422551"}, {"ref": "t8101349/predict-new-medicines-with-belka-rusessemble-cnn-2", "kernel_id": "123421637"}, {"ref": "t8101349/predict-new-medicines-chemberta-esmc-geglu-3", "kernel_id": "124087735"}, {"ref": "t8101349/predict-new-medicines-chemberta-esmc-geglu-2", "kernel_id": "124087506"}, {"ref": "prajwalnerkar08/neurips-2024-eda-lightgbm", "kernel_id": "130616236"}, {"ref": "prajwalnerkar08/neurips-2024-eda-rfc", "kernel_id": "130242484"}]}
{"competition_id": "67357", "kernels": [{"ref": "hansuelijud/template-arc2020-1st-place-solution-by-icecuber", "kernel_id": "32907816"}, {"ref": "hansuelijud/template-arc2020-5-crop-tasks-by-brute-force", "kernel_id": "34099546"}, {"ref": "anokas/data-exploration-with-arckit", "kernel_id": "59609948"}, {"ref": "christopherhwood/arc-agi-brainstorming", "kernel_id": "59641935"}, {"ref": "jazivxt/mnemonic-diffused", "kernel_id": "59630779"}, {"ref": "mpwolke/mondrianish-arc-2024", "kernel_id": "59908045"}, {"ref": "allegich/arc-2024-starter-notebook-eda", "kernel_id": "59702686"}, {"ref": "zacharyluscher/i-live-out-of-my-truck-this-was-the-best-i-can-do", "kernel_id": "59908186"}, {"ref": "fernandosr85/solving-arc-challenges-with-deep-learning-and-patt", "kernel_id": "59906116"}, {"ref": "hansuelijud/template-llama-3-8b-arc-prize-2024-inference", "kernel_id": "59202144"}, {"ref": "hansuelijud/template-llama-3-8b-arc-prize-2024-finetuning", "kernel_id": "59072326"}, {"ref": "elmaddinguliyev/notebooke634b1e8fd", "kernel_id": "59903264"}, {"ref": "michaelhodel/program-synthesis-starter-notebook", "kernel_id": "59772348"}, {"ref": "pshikk/converting-into-csv-dataset", "kernel_id": "59912261"}, {"ref": "tariqcp/arc-2024-eda", "kernel_id": "59679101"}, {"ref": "shadesh/arc-prize-2024-using-arclib", "kernel_id": "59892282"}, {"ref": "paulanyebe/paul-s-code", "kernel_id": "59945606"}, {"ref": "metinmekiabullrahman/arc-ptackling-the-arc-agi-benchmark-fromrize-2024", "kernel_id": "59796521"}, {"ref": "makimakiai/arc-prize-2024-ai", "kernel_id": "59949611"}, {"ref": "sourrabbit/pretty-arc-visualisation", "kernel_id": "59903919"}, {"ref": "rahultimalsina465/arc-prize-day-1", "kernel_id": "59641027"}, {"ref": "greenflazh/arc-prize-2024-competetion", "kernel_id": "59916479"}, {"ref": "latticetower/arc-2024-kaggle-arc-wheels", "kernel_id": "60257791"}, {"ref": "latticetower/arc-2024-ministry-of-predictors", "kernel_id": "60139483"}, {"ref": "wrinkledtime/augment-data", "kernel_id": "60878853"}, {"ref": "wrinkledtime/quick-look-at-train-data", "kernel_id": "60804619"}, {"ref": "thonicc/basic-structure-exploration", "kernel_id": "60656419"}, {"ref": "alexis1024/dummy-successful-submission", "kernel_id": "60799308"}, {"ref": "christopherhwood/arc-agi-embedding", "kernel_id": "60978847"}, {"ref": "yoyoismee/jav-lib-just-arc-visualiser-lib", "kernel_id": "60122122"}, {"ref": "logicmoo/notebook-ensemble2023unported", "kernel_id": "60118671"}, {"ref": "rgreenblatt/rg-basic-ported-submission", "kernel_id": "60465173"}, {"ref": "stpeteishii/color-normalized-image", "kernel_id": "60859739"}, {"ref": "mehrankazeminia/1-arc24-visualization-for-all-tasks", "kernel_id": "60138362"}, {"ref": "mehrankazeminia/2-arc24-corpus-mistakes", "kernel_id": "60266319"}, {"ref": "mehrankazeminia/3-arc24-developed-2020-winning-solutions", "kernel_id": "60678536"}, {"ref": "millernicholas/arc-prize-chatgpt4o-writes-solution-algorithms", "kernel_id": "60478307"}, {"ref": "mos3santos/o-auto-encoder", "kernel_id": "60869806"}, {"ref": "mos3santos/arc-2024", "kernel_id": "60512832"}, {"ref": "arwani/arc-resolver-lstm-only", "kernel_id": "60221988"}, {"ref": "danielhdez123/cnn-lstm", "kernel_id": "60657782"}, {"ref": "waechter/arc2024-eda-arckit-adapted-for-this-competition", "kernel_id": "60070087"}, {"ref": "kawaiicoderuwu/predict-output-dimensions-0-865-accuracy", "kernel_id": "60799749"}, {"ref": "otpidusmatar/arc-agi-visuals-w-matplotlib", "kernel_id": "60643297"}, {"ref": "yunsuxiaozi/2024-arc-guidance-for-beginners", "kernel_id": "60418847"}, {"ref": "tariqcp/merging-and-structuring-arc2024-datasets", "kernel_id": "60067766"}, {"ref": "jigyasupatel/arc-agi", "kernel_id": "60567102"}, {"ref": "levantaokkz/arc-prize", "kernel_id": "60640557"}, {"ref": "senbaiyu/cnn-shit", "kernel_id": "60361852"}, {"ref": "aarishasifkhan/arc-2024-exploratory-data-analysis", "kernel_id": "60800233"}, {"ref": "yipinzhang/fork-of-notebookc805568275", "kernel_id": "60949080"}, {"ref": "gregkamradt/using-frontier-models-on-arc-agi-via-langchain", "kernel_id": "60519591"}, {"ref": "gregkamradt/arc-prize-scoring", "kernel_id": "60601083"}, {"ref": "truebluefeather/arc2024-visualizer-with-html", "kernel_id": "60493942"}, {"ref": "adixnarx/pretty-arc-visualisation", "kernel_id": "60074376"}, {"ref": "lijialian7/fork-of-notebookc805568275", "kernel_id": "61032491"}, {"ref": "elvenmonk/size-background-grid-lines-boundary-boxes", "kernel_id": "61401728"}, {"ref": "elvenmonk/arc24-visualization-size-predictor", "kernel_id": "61148754"}, {"ref": "allegich/arc-2024-show-all-400-training-tasks", "kernel_id": "61717177"}, {"ref": "allegich/arc-2024-show-all-400-evaluating-tasks", "kernel_id": "61733810"}, {"ref": "vikashugly1432/arc-prize-2024-vikash-prajapati", "kernel_id": "61880437"}, {"ref": "shaunshibu/arc-agi-gpt4o", "kernel_id": "61906741"}, {"ref": "anrenk/submission-example", "kernel_id": "61743477"}, {"ref": "vukadinovic/arccompetition", "kernel_id": "61747227"}, {"ref": "poonszesen/arc2-xgboost-is-half-you-need", "kernel_id": "61187361"}, {"ref": "boristown/arc-visualization-for-test-set", "kernel_id": "61165014"}, {"ref": "farisalahmdi/unet-baseline", "kernel_id": "61431703"}, {"ref": "fangxuyu/3-arc24-developed-2020-winning-solutions", "kernel_id": "61023563"}, {"ref": "merihandaniel/arc-prize-2024", "kernel_id": "61083187"}, {"ref": "werus23/2-3-solved-gemini-generates-solutions-sometimes", "kernel_id": "61568557"}, {"ref": "gmudit/arc-2024-data-visualization", "kernel_id": "61212232"}, {"ref": "triblex/ensemble-arc2020-1st-place", "kernel_id": "61142056"}, {"ref": "mohamedahmednaji/mnn-with-data", "kernel_id": "61504915"}, {"ref": "bhanupratapbiswas/arc-prize-2024-01", "kernel_id": "61461616"}, {"ref": "moaadmaaroufi/arc-agi-compressing-is-key", "kernel_id": "61134422"}, {"ref": "serhiikharchuk/testm1", "kernel_id": "61656996"}, {"ref": "chandeeshsg/arc-competition-2024", "kernel_id": "61716454"}, {"ref": "aarishasifkhan/arc-2024-linear-regression-model", "kernel_id": "61024455"}, {"ref": "aarishasifkhan/arc-2024-complex-nn", "kernel_id": "61056820"}, {"ref": "aarishasifkhan/arc-2024-model-selection-with-nns", "kernel_id": "61222895"}, {"ref": "aarishasifkhan/arc-2024-rnns-recurrent-nn", "kernel_id": "61131486"}, {"ref": "aarishasifkhan/arc-2024-analysis-with-random-forest-model", "kernel_id": "61126599"}, {"ref": "aarishasifkhan/arc-2024-statistical-analysis-with-bert-model", "kernel_id": "61424314"}, {"ref": "makimakiai/jp-arc24-visualization-size-predictor", "kernel_id": "61348319"}, {"ref": "adetoyeshearigbabuwo/a-recursive-llm-approach", "kernel_id": "61489529"}, {"ref": "adetoyeshearigbabuwo/gpt4o-correct-solution-for-task-007bbfb7", "kernel_id": "61472671"}, {"ref": "liamrobins/arc-prize-attempt-010", "kernel_id": "61166782"}, {"ref": "bingchenai/test124", "kernel_id": "61026609"}, {"ref": "ironbar/minimal-submission", "kernel_id": "62383862"}, {"ref": "ironbar/few-shot-prompting-for-arc24", "kernel_id": "62293524"}, {"ref": "wrinkledtime/eda-shape-size-patternmatch-tools", "kernel_id": "62238532"}, {"ref": "solverworld/2024-arc-detailed-input-output-size-analysis", "kernel_id": "62236705"}, {"ref": "yeayates21/transformation-array-search", "kernel_id": "62654822"}, {"ref": "shauseth/visualizer", "kernel_id": "62233541"}, {"ref": "logicmoo/moo-10-using-frontier-models-on-arc-agi", "kernel_id": "62469268"}, {"ref": "danielkrn/arc-v1", "kernel_id": "62604625"}, {"ref": "davidbaofu/arc-prize-2024-eda", "kernel_id": "62783393"}, {"ref": "pollicio/quantumai-2024-a-cuevas", "kernel_id": "62983338"}, {"ref": "kymoji/view-single-task-in-one-png", "kernel_id": "62084427"}, {"ref": "clementbonnet/arc-submission", "kernel_id": "62970950"}, {"ref": "zacharyluscher/3-arc24-developed-2020-winning-solutions", "kernel_id": "62829350"}, {"ref": "woosungyoon/eda-exploring-some-challenges", "kernel_id": "62511407"}, {"ref": "harryai/arc-challenge-pdf-generator", "kernel_id": "62694130"}, {"ref": "pratikde/arc-gi-x1", "kernel_id": "62576747"}, {"ref": "alejandravillarreal/arc-applying-algebra-to-eda", "kernel_id": "62374795"}, {"ref": "quctngngvng/arc-2024-show-all-400-evaluating-tasks", "kernel_id": "62372718"}, {"ref": "mr0106/arc-prize-2024", "kernel_id": "62554318"}, {"ref": "evelynartoria/arc-dataset-class-and-visualizer-pytorch", "kernel_id": "62466237"}, {"ref": "alvaromros/simple-feedforward-network-approach", "kernel_id": "62241343"}, {"ref": "levantaokkz/arc-2024-v1-from-arc2020", "kernel_id": "62471769"}, {"ref": "cardata/arc-2024-training", "kernel_id": "62466935"}, {"ref": "ronnyg123/convents-and-data-analysis-arc", "kernel_id": "62887127"}, {"ref": "makimakiai/jp-arc-applying-algebra-to-eda-2", "kernel_id": "62490115"}, {"ref": "minseo14/arc-task-00d62c1b-with-cnn", "kernel_id": "62325165"}, {"ref": "ironbar/generate-training-samples-using-re-arc", "kernel_id": "63210365"}, {"ref": "yeayates21/tiny-transformer-search", "kernel_id": "63109138"}, {"ref": "discoholic/llama31", "kernel_id": "63380811"}, {"ref": "nguyenvietmanhkhoa/arc-solution-llama3-1", "kernel_id": "63581067"}, {"ref": "mehrankazeminia/4-arc-mastery-tutorial-1", "kernel_id": "63610192"}, {"ref": "regisvargas/understanding-tiled-pattern-grid", "kernel_id": "63174205"}, {"ref": "barbosajaf/arc-prize-2k24-jafb", "kernel_id": "63478225"}, {"ref": "alejandravillarreal/100-examples-arc-applying-algebra-to-eda", "kernel_id": "63278420"}, {"ref": "shod63/cluster-random-forest", "kernel_id": "63172760"}, {"ref": "azanalytics32/notebook765603dd0f", "kernel_id": "63579653"}, {"ref": "mnaumnau/arc-prize-2024", "kernel_id": "63545468"}, {"ref": "lifestorykids/quantumai-2024-a-cuevas", "kernel_id": "63038230"}, {"ref": "harigoshika/arc-prize-2024-ai-grid-solver", "kernel_id": "63957179"}, {"ref": "minseo14/arc-tasks-solver-shape-stable", "kernel_id": "63480339"}, {"ref": "ironbar/single-task-test-time-fine-tuning-for-arc24", "kernel_id": "64936801"}, {"ref": "andreymasyutin/arc-eda", "kernel_id": "64849594"}, {"ref": "aoneko0903/for-arc", "kernel_id": "64365353"}, {"ref": "aa7767/arc-2024-matrices", "kernel_id": "64277478"}, {"ref": "yogi050294/template-llama-3-8b-arc-prize-2024-finetuning", "kernel_id": "64990835"}, {"ref": "allegich/json-introduction-tricks-and-applying", "kernel_id": "64346891"}, {"ref": "ka1242/generate-training-samples-maze-pathfinding", "kernel_id": "64405395"}, {"ref": "ka1242/arc-to-vec-ae-based-img-vector-representation", "kernel_id": "64815445"}, {"ref": "nickolasthb/arc-default-knowledge-poc", "kernel_id": "64134317"}, {"ref": "fernandosr85/gemmascientist-ai-driven-discovery-for-arc-agi", "kernel_id": "64158722"}, {"ref": "rajawatdevendrasingh/notebookaed2dbb175", "kernel_id": "64987512"}, {"ref": "themurph33/arc-eda", "kernel_id": "64279799"}, {"ref": "akshaygovinds/arc-24-akshay", "kernel_id": "64409965"}, {"ref": "jarelgomes/submission-for-arc-prize-2024", "kernel_id": "64828883"}, {"ref": "rasamanil/arc-sep2024-note-book-3", "kernel_id": "64989912"}, {"ref": "rasamanil/arc-sep2024-note-book-2", "kernel_id": "64988334"}, {"ref": "rasamanil/arc-sep2024-note-book-1", "kernel_id": "64978011"}, {"ref": "maomaoai/llama-3-8b-arc-prize-2024-inference", "kernel_id": "64896886"}, {"ref": "farzanarahman3301/arc-prize-2024", "kernel_id": "64699071"}, {"ref": "malolem/back-to-black-arc-agi-black-distribution-analysis", "kernel_id": "64582703"}, {"ref": "malolem/improving-task-evaluation-in-arc-agi-via-sorting", "kernel_id": "64842951"}, {"ref": "aizhengwu/notebookf2a4f422fb", "kernel_id": "64297388"}, {"ref": "aizhengwu/notebook52f8acdfd3", "kernel_id": "64323254"}, {"ref": "kevinpdev/arc-autoregressive-search", "kernel_id": "64969890"}, {"ref": "pfletch1023/notebook6968e6e0df", "kernel_id": "65300837"}, {"ref": "khushdeep/new-finetuning-llama-3-1-8b-unsloth", "kernel_id": "65843171"}, {"ref": "ayman3000/color-augmentation-approach", "kernel_id": "65406350"}, {"ref": "ayman3000/grid-transformer-approach", "kernel_id": "65070887"}, {"ref": "meancoder/arc2024-fcn", "kernel_id": "65935566"}, {"ref": "yogi050294/02-finetuning-llama-3-1-8b-unsloth", "kernel_id": "65380876"}, {"ref": "yogi050294/02-inferencing-llama-3-1-8b-unsloth", "kernel_id": "65385399"}, {"ref": "yogi050294/02-evaluation-llama-3-1-8b-unsloth", "kernel_id": "65401894"}, {"ref": "yogi050294/05-inferencing-llama-3-1-8b-unsloth", "kernel_id": "65597750"}, {"ref": "yogi050294/04-finetuning-llama-3-1-8b-unsloth", "kernel_id": "65487069"}, {"ref": "yogi050294/04-inferencing-llama-3-1-8b-unsloth", "kernel_id": "65515913"}, {"ref": "yogi050294/01-finetuning-first-model-llama-3-1-8b-unsloth", "kernel_id": "65230742"}, {"ref": "yogi050294/sample-submission", "kernel_id": "65130220"}, {"ref": "yogi050294/06-data-augmentation", "kernel_id": "65669461"}, {"ref": "priyank0565/2-comprehensive-example-augmentation-of-arc-data", "kernel_id": "65731245"}, {"ref": "ka1242/arc-2024-ae-based-cnn-solver", "kernel_id": "65621837"}, {"ref": "ka1242/arc-2024-o1-as-single-promt-solver", "kernel_id": "65695059"}, {"ref": "tchaye59/learnable-pooling-unet", "kernel_id": "65709738"}, {"ref": "khosiyatsabirova/arcprizesolver2024", "kernel_id": "65082259"}, {"ref": "tushararl/using-frontier-models-on-arc-agi-via-langchain", "kernel_id": "65414150"}, {"ref": "mos3santos/o-codificador-autom-tico-json", "kernel_id": "65923380"}, {"ref": "pratikde/arc-gi-x2", "kernel_id": "65039461"}, {"ref": "unlikezy/llama-3-1-8b-it-arc-hf-pipeline", "kernel_id": "65163346"}, {"ref": "ahmedshaheen1999/sam-2-2d", "kernel_id": "65025986"}, {"ref": "goura32/arc-prize-2024-grid-visualization", "kernel_id": "65150167"}, {"ref": "dustinober/arc-submission", "kernel_id": "65743254"}, {"ref": "alawdisoft/arc-prize-2024", "kernel_id": "65289946"}, {"ref": "thomasgamet/deepseek-coding-llm-for-arc24", "kernel_id": "65925478"}, {"ref": "stemosamaghandour/ai-arc-agi-by-eng-osama-ghandour", "kernel_id": "65610289"}, {"ref": "realoxy3110/arc-challenge-2-0", "kernel_id": "65596576"}, {"ref": "gregkamradt/testing-o1-preview-on-arc-agi", "kernel_id": "65737915"}, {"ref": "bxj111/arc-2024-starter-notebook-eda-20aead", "kernel_id": "65765515"}, {"ref": "rishant3441/multi-persona-debate-arc-agi-submission", "kernel_id": "65453832"}, {"ref": "yogeshjaiswal19/04-test-submission-analysis", "kernel_id": "65574513"}, {"ref": "yogeshjaiswal19/05-finetuning-llama-3-1-8b-unsloth", "kernel_id": "65542858"}, {"ref": "yogeshjaiswal19/05-inferencing-llama-3-1-8b-unsloth", "kernel_id": "65598142"}, {"ref": "yogeshjaiswal19/02-evaluation-llama-3-1-8b-unsloth", "kernel_id": "65496659"}, {"ref": "yogeshjaiswal19/06-finetuning-llama-3-1-8b-with-data-augmentation", "kernel_id": "65796707"}, {"ref": "aayushijaiswal01/05-inferencing-llama-3-1-8b-unsloth", "kernel_id": "65602985"}, {"ref": "aimind/leaderboard-ranked-first-author-s-notebook", "kernel_id": "66704472"}, {"ref": "aimind/fork-of-leaderboard-ranked-first-author-s-notebook", "kernel_id": "66704895"}, {"ref": "aimind/leaderboard-ranked-first-author-mhodel-s-notebook", "kernel_id": "66705020"}, {"ref": "aimind/leaderboard-ranked-first-author-s-dsl-codeit", "kernel_id": "66827312"}, {"ref": "eabdullin/help-llms-to-understand-a-grid-dataset-generation", "kernel_id": "66481551"}, {"ref": "simjeg/solving-arc-with-vlms", "kernel_id": "66375511"}, {"ref": "khushdeep/arc-understanding-grids", "kernel_id": "66374566"}, {"ref": "totalgood/arc-2024-cnn-autoencoder", "kernel_id": "66620860"}, {"ref": "yogi050294/12-finetuning-test-inference-each-task-with-aug", "kernel_id": "66936873"}, {"ref": "yogi050294/04-train-result-llama", "kernel_id": "66378160"}, {"ref": "yogi050294/04-eval-wrong-result-llama", "kernel_id": "66378401"}, {"ref": "yogi050294/07-finetuning-llama-3-1-8b-with-data-augmentation", "kernel_id": "66020493"}, {"ref": "priyank0565/1d-preparing-dependency-file", "kernel_id": "66717182"}, {"ref": "gromml/arc-prize-2024-poohai-solution", "kernel_id": "66505015"}, {"ref": "ryryrymyg/arc-2024-evaluation-for-cv", "kernel_id": "66313225"}, {"ref": "tanyong666/necessary-packages-for-vllm-054", "kernel_id": "66934589"}, {"ref": "tanyong666/pkg-of-transformers-4-45-0-dev0", "kernel_id": "66948869"}, {"ref": "amiralimollaei/arc-prize-2024-data-augmentation", "kernel_id": "66901555"}, {"ref": "iqbalfachry/arc-agi", "kernel_id": "66608016"}, {"ref": "sharmilaghosh/notebook665401e0aa", "kernel_id": "66280487"}, {"ref": "yunlongxiao/arc-cnn-model-train-1", "kernel_id": "66183183"}, {"ref": "rasamanil/arc-sep2024-note-book-4a", "kernel_id": "66256429"}, {"ref": "harinnerkumar/arc-kaggle", "kernel_id": "66353702"}, {"ref": "rianaazad/arc-prize-2024-transformations-and-predictions", "kernel_id": "66749687"}, {"ref": "mccocoful/brute-force-dsl", "kernel_id": "66757897"}, {"ref": "kongkeatfeelfluke/kongkeat-s-arc-prize-notebook", "kernel_id": "66862846"}, {"ref": "samuelotiattakorah/arc-with-rnn-3", "kernel_id": "66434011"}, {"ref": "osmantuncel01/arc-2024-notebook-eda", "kernel_id": "66618827"}, {"ref": "gregkamradt/rg-basic-ported-submission-public-eval-results", "kernel_id": "66343160"}, {"ref": "smartgai/arc24-competition", "kernel_id": "66659438"}, {"ref": "fabianintech/arc-llm-coding-agent", "kernel_id": "66922377"}, {"ref": "minseo14/arc-with-rnn", "kernel_id": "66272617"}, {"ref": "tree82/arc-agi-attempt", "kernel_id": "66743479"}, {"ref": "tree82/arc-agi-first-attempt", "kernel_id": "66641606"}, {"ref": "mehboobkhan36/arc-2024-notebook-eda", "kernel_id": "66226531"}, {"ref": "edguy99/arcthoughtsimulator", "kernel_id": "67349439"}, {"ref": "dipplec/inet-rust", "kernel_id": "67044666"}, {"ref": "quantumdamage/arc-prize-2024", "kernel_id": "67045117"}, {"ref": "simonouellette/notebook6f51211780", "kernel_id": "67097103"}, {"ref": "khushdeep/tuning-llama-3-1-with-new-prompt", "kernel_id": "67632841"}, {"ref": "theptrk/arc-prize-2024-hello-world", "kernel_id": "67356212"}, {"ref": "esabellechen/arc-2024-visualize-training-set", "kernel_id": "67604297"}, {"ref": "jordanyoung993/arc-prize-2024-next-pixel-prediction-nn", "kernel_id": "67063923"}, {"ref": "feiwenxuan/arc-prize-2024-10-14", "kernel_id": "67642620"}, {"ref": "sinjhin/gadev2-20241012", "kernel_id": "67410229"}, {"ref": "malolem/arc-genesis-save-precious-time-getting-started", "kernel_id": "67001255"}, {"ref": "smohammedfardeen/notebookfa1865ded1", "kernel_id": "67216970"}, {"ref": "dehghanimohsen/notebooke1b7c241aa", "kernel_id": "67349294"}, {"ref": "abhishekaggarwal2/kagglesucksbigtime", "kernel_id": "68225046"}, {"ref": "xu3cpn/ensemble-augment-transduction-augment-induction", "kernel_id": "68085162"}, {"ref": "aimind/show-400-tasks-solution", "kernel_id": "68471245"}, {"ref": "aimind/show-400-tasks-solution-dsldefine", "kernel_id": "68516433"}, {"ref": "khushdeep/new-inferencing-incorrect-task", "kernel_id": "68657406"}, {"ref": "mehuldamani/draft1", "kernel_id": "68748584"}, {"ref": "mos3santos/test-arc24", "kernel_id": "68751238"}, {"ref": "boristown/darkagi-learnable-pooling-unet", "kernel_id": "68906874"}, {"ref": "arecserggmailcom/arc-agi", "kernel_id": "68878470"}, {"ref": "mustafashoukat/arc-prize", "kernel_id": "68892130"}, {"ref": "jordanyoung993/arc-cnn-next-pixel", "kernel_id": "68036881"}, {"ref": "malolem/entropy-based-dense-representation-of-arc-tasks", "kernel_id": "68001759"}, {"ref": "malolem/dropping-ideas-that-will-make-you-think-different", "kernel_id": "68509885"}, {"ref": "zvoicu/solution", "kernel_id": "68908355"}, {"ref": "minseo14/arcagi-transformer", "kernel_id": "68880249"}, {"ref": "athviii/tinygrad", "kernel_id": "68942299"}, {"ref": "athviii/arcttention", "kernel_id": "68889236"}, {"ref": "athviii/at-a-glance-visualizations", "kernel_id": "68885034"}, {"ref": "hideyoshiaki/arc-agi-competition-image-transformation-algorith", "kernel_id": "68555050"}, {"ref": "krishnaharish/kongkeat-s-arc-prize-notebook", "kernel_id": "69305458"}, {"ref": "mascobot/submission1llama", "kernel_id": "69389925"}, {"ref": "mascobot/arc24-onlyicecuberboth", "kernel_id": "69609094"}, {"ref": "mascobot/arc24-onlyicecuberfirst-50", "kernel_id": "69610328"}, {"ref": "ekinakyurek/my-sub", "kernel_id": "69862331"}, {"ref": "ziechan/04-inferencing-llama-3-1-8b-unsloth", "kernel_id": "69158828"}, {"ref": "amzijeffs/hodel-solvers-and-verifiers", "kernel_id": "69262377"}, {"ref": "athviii/omniparse-download", "kernel_id": "69175575"}, {"ref": "athviii/opt-train", "kernel_id": "69094607"}, {"ref": "andrescampero/fork-ensem-onlyfirs", "kernel_id": "69534489"}, {"ref": "cpmpml/arc-prize-1", "kernel_id": "70252901"}, {"ref": "mdda123/arc-prize-2024-hello-world", "kernel_id": "70194106"}, {"ref": "xu3cpn/ensemble-transduction-induction-modal", "kernel_id": "70879444"}, {"ref": "sorokin/arc-ensemble-v3", "kernel_id": "70263111"}, {"ref": "sorokin/barc-vlm-itlms", "kernel_id": "70203625"}, {"ref": "kumarandatascientist/arc-with-cnn-deeplearning-andro-version-2-0", "kernel_id": "70158977"}, {"ref": "laurencel2001/notebook550e6d0240", "kernel_id": "70288125"}, {"ref": "tobimichigan/cnn-classification-on-grid-data-for-arc-prize", "kernel_id": "70135380"}, {"ref": "derderi/dirdri-afaf", "kernel_id": "70718096"}, {"ref": "dhealy05/arc-empty-submission-for-paper", "kernel_id": "70190950"}, {"ref": "almeidaalin3/aline-gabriel-de-almeida-arc2024-paper", "kernel_id": "70437944"}, {"ref": "osamasarhan/arc-try-10-11-2024", "kernel_id": "70286982"}, {"ref": "abhaythomas/generating-outputs", "kernel_id": "70857038"}, {"ref": "crsuthikshnkumar/arcprize2024-inferencing-llama-3-1-8b-comp-crsk", "kernel_id": "70600490"}, {"ref": "songbw/meta-learning-arc-maml-grid2grid-qwen-vl", "kernel_id": "70111794"}, {"ref": "chiakazirim/mercy", "kernel_id": "70301250"}, {"ref": "raspberrycup/firearchers-submission", "kernel_id": "70299101"}, {"ref": "callummaystone/arc-prize-dre-pt1", "kernel_id": "70139158"}, {"ref": "lilliankeyahu/public-leaderboard-transduction", "kernel_id": "70060466"}, {"ref": "zoenguyenramirez/fs-1-inherted-newzoe-v7", "kernel_id": "70290193"}, {"ref": "andrescampero/corr100ensemble1-icecube1-sam8-8", "kernel_id": "70183849"}, {"ref": "kumarikandam/notebook5beae53f34", "kernel_id": "70456036"}, {"ref": "lcheret/notebookf9cefca20f", "kernel_id": "70303863"}, {"ref": "xu3cpn/dev-ensemble-induction-and-transduction", "kernel_id": "71422976"}, {"ref": "xu3cpn/ensemble-induction-and-transduction", "kernel_id": "71313519"}, {"ref": "aimind/fork-of-show-400-tasks-solution-dsldefine", "kernel_id": "71376969"}, {"ref": "gromml/arc-utils", "kernel_id": "71565531"}, {"ref": "mehuldamani/marc-transduction", "kernel_id": "71277433"}, {"ref": "mehuldamani/notebookc4d0fb085f", "kernel_id": "71191018"}, {"ref": "yhbenpan/single-task-test-time-fine-tuning-for-arc24", "kernel_id": "71648564"}, {"ref": "parthkaushal1/llama-done", "kernel_id": "71069241"}, {"ref": "sciencedesdonnesetia/gemini-1-5-pro-2", "kernel_id": "71086296"}, {"ref": "alijs1/arc-prize-2024-solution-3rd-place-score-40", "kernel_id": "72404940"}, {"ref": "dfranzen/arc-prize-2024-solution-by-the-architects", "kernel_id": "72414120"}, {"ref": "williamwu88/fork-of-small-sample-arc24-7d97ca", "kernel_id": "72701084"}, {"ref": "gregkamradt/arc-prize-v8", "kernel_id": "72348414"}, {"ref": "gregkamradt/arc-prize-2024-solution-4th-place-score-40-811b72", "kernel_id": "72348503"}, {"ref": "gregkamradt/small-sample-arc24", "kernel_id": "72348564"}, {"ref": "gregkamradt/arc-prize-2024-8th-place-solution", "kernel_id": "72348649"}, {"ref": "vincento/arc-prize-2024-solution-4th-place-score-40-811b72", "kernel_id": "73114918"}, {"ref": "lyrialtus/openai-o3-s-eval-results-messages-and-mistakes", "kernel_id": "73462648"}, {"ref": "maomaomaomao/arc-prize-v8-eddd5b", "kernel_id": "75085131"}, {"ref": "maomaomaomao/arc-prize-2024-solution-4th-place-score-40-811b72", "kernel_id": "75079347"}, {"ref": "alejandravillarreal/arc-games-training-dimensions", "kernel_id": "75066044"}, {"ref": "maomaoai/arc-prize-v8", "kernel_id": "75073491"}, {"ref": "maomaoai/arc-prize-v8-7da118", "kernel_id": "75131722"}, {"ref": "maomaoai/arc-prize-v8-cc4f2a", "kernel_id": "75107967"}, {"ref": "ancona/program-synthesis-starter-notebook", "kernel_id": "76961450"}, {"ref": "aimind/show-400-tasks-images-solution-dsldef", "kernel_id": "77872622"}, {"ref": "allegich/arc-agi-2025-starter-notebook-eda", "kernel_id": "79385232"}, {"ref": "allegich/arc-agi-2025-visualization-all-1000-120-tasks", "kernel_id": "79389937"}, {"ref": "boristown/data-difference-between-arc-2024-2025", "kernel_id": "79501699"}, {"ref": "boristown/baseline-from-1st-place-of-2024", "kernel_id": "79326832"}, {"ref": "sharifi76/eda-compare2024-visualizations-top1baseline2024", "kernel_id": "79575166"}, {"ref": "callummaystone/structured-reduction-logic-arc-prize-2025", "kernel_id": "79408712"}, {"ref": "jamesmcguigan/arc-2024-eda-task-visualization", "kernel_id": "80685058"}, {"ref": "alejandravillarreal/arc2025-applying-algebra-to-eda", "kernel_id": "82028670"}, {"ref": "qi7axu/eda-compare2024-visualizations-top1baseline2024", "kernel_id": "86526558"}, {"ref": "cchrisaa/notebook629303e287", "kernel_id": "87328755"}, {"ref": "krishnayadav456wrsty/arc-agi-code-golf-solutions", "kernel_id": "88988377"}, {"ref": "thomasyiu2/using-frontier-models-on-arc-agi-via-langchain-oss", "kernel_id": "89410320"}, {"ref": "tygryskuyato/arc-prize-2025-submission", "kernel_id": "93664757"}, {"ref": "krishnayadav456wrsty/neurl-arc-win", "kernel_id": "94231201"}, {"ref": "mithilavakde/notebookf83d1e966c", "kernel_id": "105186769"}, {"ref": "mithilavakde/mithil-vakde-submission", "kernel_id": "107779111"}, {"ref": "josephrynkiewicz/mytdarc24vllm", "kernel_id": "109594615"}, {"ref": "danielwycoff/measuring-progress", "kernel_id": "112648929"}, {"ref": "janettdoe/arc-agi-2", "kernel_id": "113689358"}, {"ref": "janettdoe/arc-agi-3", "kernel_id": "113588032"}, {"ref": "aristotelesborges84/notebook9ebf6ebdaf", "kernel_id": "114131331"}, {"ref": "andreasholberg/arc-agi-3", "kernel_id": "127853124"}]}
{"competition_id": "67398", "kernels": [{"ref": "belati/beginner-s-notebook-prediksi-hasil-pertandingan", "kernel_id": "49425995"}]}
{"competition_id": "67425", "kernels": []}
{"competition_id": "67433", "kernels": [{"ref": "krammerg/grapes-codebaseline", "kernel_id": "49328142"}]}
{"competition_id": "67474", "kernels": [{"ref": "dev102/nnue-training", "kernel_id": "49389635"}, {"ref": "hadriencr/train-your-own-stockfish-nnue", "kernel_id": "52985250"}, {"ref": "sonspeed/my-stockfish", "kernel_id": "78142386"}, {"ref": "skywolfmo/preparing-model-for-chess-js", "kernel_id": "91690842"}]}
{"competition_id": "67481", "kernels": []}
{"competition_id": "67504", "kernels": [{"ref": "sergeydeev/bag-of-words-with-claim", "kernel_id": "49501174"}]}
{"competition_id": "67507", "kernels": []}
{"competition_id": "67519", "kernels": []}
{"competition_id": "67529", "kernels": []}
{"competition_id": "67552", "kernels": [{"ref": "stealthtechnologies/getting-started", "kernel_id": "49523820"}, {"ref": "huseyinsezen/mantis-hunt-prediction", "kernel_id": "50512129"}]}
{"competition_id": "67573", "kernels": []}
{"competition_id": "67610", "kernels": [{"ref": "metlover/3-solution-a-no-model-proposal", "kernel_id": "49557437"}, {"ref": "tindata/oneanddonemicandy", "kernel_id": "49555650"}, {"ref": "pedro2220/tempo-de-volta-regressao-cd", "kernel_id": "56773051"}]}
{"competition_id": "67621", "kernels": []}
{"competition_id": "67624", "kernels": []}
{"competition_id": "67625", "kernels": []}
{"competition_id": "67626", "kernels": []}
{"competition_id": "67721", "kernels": [{"ref": "ssegui/baselinemodel-housepredictionchallenge", "kernel_id": "49645260"}]}
{"competition_id": "67731", "kernels": [{"ref": "anishwagle2023/notebook294931564e", "kernel_id": "134829745"}]}
{"competition_id": "67835", "kernels": []}
{"competition_id": "67836", "kernels": [{"ref": "nihalbaig/yolov8-basic-notebook", "kernel_id": "49930752"}, {"ref": "abdullaharean/badodd-data-augmentation", "kernel_id": "49880980"}, {"ref": "samratabduljalil/badodd-training-and-inference-with-yolov8m", "kernel_id": "49757055"}, {"ref": "ataullhasaim/mws-dl-enigma-1-0-starter-notebook", "kernel_id": "49740863"}, {"ref": "dlml12/road-object-detection", "kernel_id": "49983979"}, {"ref": "abdullaharean/badodd-yolo2coco", "kernel_id": "50396639"}, {"ref": "abdullaharean/badodd-a-complete-eda", "kernel_id": "50699262"}, {"ref": "asibrahman/qwerty-inference", "kernel_id": "50365452"}, {"ref": "sakibbai/du-metrorail-inference-notebook-co-detr", "kernel_id": "50786265"}, {"ref": "sakibbai/du-metrorail-training-notebook-co-detr", "kernel_id": "50786722"}, {"ref": "sakibbai/co-detr-inference-fast-2gpus", "kernel_id": "50573132"}, {"ref": "abrarjahinniloy/detectron2-sust-eda", "kernel_id": "50595652"}, {"ref": "samratabduljalil/detectron2-both-training-and-inference-final", "kernel_id": "50639260"}, {"ref": "samratabduljalil/detectron2-inference", "kernel_id": "50638428"}, {"ref": "samratabduljalil/detectron2-training-using-yolo-format-data", "kernel_id": "50596761"}, {"ref": "samratabduljalil/badodd-detectron2-with-augmentation", "kernel_id": "50716306"}, {"ref": "irafio/chandergari-synthetic-m", "kernel_id": "50702254"}, {"ref": "nasiatfahim/sust-nameless-inference-notebook", "kernel_id": "50820596"}, {"ref": "nasiatfahim/sust-nameless-training-notebook", "kernel_id": "50767486"}, {"ref": "mobin555/dl-noobies-training-notebook", "kernel_id": "50857081"}, {"ref": "mobin555/dl-noobies-inference-notebook", "kernel_id": "50857169"}, {"ref": "rabbi2019331099/journey-by-neuron-training-notebook-e6e244", "kernel_id": "50872204"}, {"ref": "rabbi2019331099/journey-by-neuron-training-notebook", "kernel_id": "50868388"}, {"ref": "ipythonx/combine-badodd-rsud20k-dataset", "kernel_id": "51433831"}, {"ref": "ipythonx/badodd-create-data-frame", "kernel_id": "51433978"}, {"ref": "istiaqahmedfahad/badodd-image-prerocessing", "kernel_id": "51011301"}, {"ref": "rabbi2019331099/journey-by-neuron-inference-notebook", "kernel_id": "51283216"}, {"ref": "ishlove7/dl-enigma-training-resnext-cascadercnn", "kernel_id": "58253706"}, {"ref": "ishlove7/dl-enigma-dataset", "kernel_id": "58181046"}, {"ref": "ishlove7/dl-enigma-baseline", "kernel_id": "58186310"}, {"ref": "ishlove7/dl-enigma-eda", "kernel_id": "58191258"}, {"ref": "ishlove7/dl-enigma-training-resnet50-cascadercnn", "kernel_id": "58236705"}, {"ref": "jin0417/dl-enigma-training-convnext-cascadercnn", "kernel_id": "58451576"}, {"ref": "nazmussakibrex/training-notebook", "kernel_id": "77690135"}, {"ref": "miftahuladib/dl-enigma-simple-notebook", "kernel_id": "88303131"}, {"ref": "niloysarker/notebook62661b0a65", "kernel_id": "109136907"}]}
{"competition_id": "67843", "kernels": [{"ref": "marcograngetto/submission-example-ch1", "kernel_id": "50705751"}]}
{"competition_id": "67930", "kernels": [{"ref": "sergeydeev/competencia-kaggle-1-data", "kernel_id": "49762868"}]}
{"competition_id": "67945", "kernels": [{"ref": "vibhorejain1/car-thief", "kernel_id": "50776628"}, {"ref": "georgmathes/car-thief", "kernel_id": "50752941"}, {"ref": "huseyinsezen/car-price-prediction", "kernel_id": "50822329"}, {"ref": "alphahal2020/car-price-prediction-for-thief", "kernel_id": "51585085"}]}
{"competition_id": "68045", "kernels": []}
{"competition_id": "68053", "kernels": []}
{"competition_id": "68058", "kernels": [{"ref": "mpwolke/hyperleaf-2024", "kernel_id": "53350496"}, {"ref": "danieleduardoruiz/permutation", "kernel_id": "134911313"}]}
{"competition_id": "68062", "kernels": []}
{"competition_id": "68156", "kernels": []}
{"competition_id": "68196", "kernels": []}
{"competition_id": "68213", "kernels": []}
{"competition_id": "68215", "kernels": []}
{"competition_id": "68282", "kernels": []}
{"competition_id": "68285", "kernels": [{"ref": "aishaadeniji/notebookc91d80b6d8", "kernel_id": "50598850"}, {"ref": "sergeydeev/classification-competition-2024", "kernel_id": "50044630"}, {"ref": "amrishcareem/amrish-careem-st20301501", "kernel_id": "64387592"}]}
{"competition_id": "68371", "kernels": []}
{"competition_id": "68402", "kernels": []}
{"competition_id": "68407", "kernels": []}
{"competition_id": "68419", "kernels": [{"ref": "dayvison/alura", "kernel_id": "51795128"}, {"ref": "spadini/exemplo-submiss-o", "kernel_id": "52497379"}, {"ref": "vinciuspmartins/proposta-constru-o-de-modelo-de-machine-learning", "kernel_id": "54306149"}, {"ref": "hscosta/autoencoder-anomaly-detection-pytorch", "kernel_id": "66621103"}]}
{"competition_id": "68445", "kernels": [{"ref": "robertminarik/vanilla-model-soc-density", "kernel_id": "50280061"}, {"ref": "itankoyeu/da-and-submision", "kernel_id": "51219849"}, {"ref": "janani90/soc-density-prediction", "kernel_id": "51524720"}, {"ref": "oraegbuayomide/private-leaderboard-first-place-solution", "kernel_id": "51840069"}, {"ref": "matheusutino/esa-eo4soilprotection-2024-soc-density-final", "kernel_id": "51134160"}, {"ref": "juliocastrolopes98/notebook-ipb-bragan-a", "kernel_id": "51220920"}]}
{"competition_id": "68479", "kernels": [{"ref": "venkatkumar001/obesitys4-tensorflow-embed-xgb-lb-0-874", "kernel_id": "26810181"}, {"ref": "venkateshkrishnan111/self-learning-data-science", "kernel_id": "47285824"}, {"ref": "tarundirector/binary-classification-bank-churn-eda", "kernel_id": "48912659"}, {"ref": "slythe/r-programming-getting-started-on-competitions", "kernel_id": "49624975"}, {"ref": "lucamassaron/easy-peasy-eda-xgboost-is-all-you-need", "kernel_id": "50322162"}, {"ref": "paddykb/ps-s4e2-tableau-flaml-brute-force-oh-my", "kernel_id": "50360100"}, {"ref": "nairnmcwilliams/pg-4-02-multi-class-prediction-of-obesity-risk", "kernel_id": "50319438"}, {"ref": "pmathur/obesity-risk-random-forest-pipelines-bmi", "kernel_id": "50307774"}, {"ref": "uzdavinys/pg-s04e02-fastai-tabular-model", "kernel_id": "50384670"}, {"ref": "tyatsenk/multi-class-pred-of-obesity-risk-xgboost", "kernel_id": "50997439"}, {"ref": "rockiecao/pss4e2-obesityriskpredict-multiclassification", "kernel_id": "50372524"}, {"ref": "dpghan/obesity-eda-lightgbm-90-acc", "kernel_id": "50587719"}, {"ref": "rsesha/pss4e2-iterativedoubleclassifier-90-57-score", "kernel_id": "50465162"}, {"ref": "toshimelonhead/tps-4-2-obesity-cvd", "kernel_id": "50290512"}, {"ref": "dstomcray/unconventional-approach-using-llm", "kernel_id": "50340468"}, {"ref": "netojoseeaugusto/obesity-risk-playground-ensemble", "kernel_id": "50597129"}, {"ref": "netojoseeaugusto/obesity-eda-problematic-classes", "kernel_id": "50465361"}, {"ref": "netojoseeaugusto/investigation-obesity", "kernel_id": "50479359"}, {"ref": "netojoseeaugusto/obesity-risk-playground-xgboost", "kernel_id": "50426053"}, {"ref": "netojoseeaugusto/obesity-risk-playground-catboost", "kernel_id": "50430627"}, {"ref": "netojoseeaugusto/obesity-risk-playground-baseline-and-simple-eda", "kernel_id": "50342027"}, {"ref": "shams1/train", "kernel_id": "50899948"}, {"ref": "abramova/s4e2-catboost-with-kfold-train", "kernel_id": "50307477"}, {"ref": "ksevta/ps4e2-xgb-lgbm-0-92", "kernel_id": "50539556"}, {"ref": "dbreyfogle/eda-key-takeaways-preprocessing-ideas", "kernel_id": "50336657"}, {"ref": "vassyesboy/eda-model-selection-ensemble", "kernel_id": "50319975"}, {"ref": "aspillai/obesity-risk-prediction-simple-lightgbm-91-7", "kernel_id": "50486412"}, {"ref": "aspillai/obesity-risk-prediction-xgboost-91-2", "kernel_id": "50725771"}, {"ref": "vishalbakshi/multi-class-prediction-of-obesity-risk-fastai", "kernel_id": "50847223"}, {"ref": "baharnz/multi-class-prediction-of-obesity-risk", "kernel_id": "50555240"}, {"ref": "priyang/91-55-multi-class-lgbmclassifier", "kernel_id": "50730456"}, {"ref": "arnogils/obesity-risk-classification-stack", "kernel_id": "50311920"}, {"ref": "nnjjpp/play-4-2-eda-baseline-model", "kernel_id": "50408624"}, {"ref": "ankurgarg04/obesity-risk-predictor-baseline", "kernel_id": "50300201"}, {"ref": "playingmyway/multi-class-prediction-of-obesity-risk", "kernel_id": "50971534"}, {"ref": "miroslavtyurin/ps4e2-obesity-gone-wrong-way-voting-lgbm-xgb", "kernel_id": "50315195"}, {"ref": "strawhatdragon/playground-series-s4e2-eda-xgboost", "kernel_id": "50294243"}, {"ref": "docxian/ps-s4-e02-obesity-risk-multiclass", "kernel_id": "50334784"}, {"ref": "ryzhokhina/multiclass-prediction-obesity-nn", "kernel_id": "50832861"}, {"ref": "ryzhokhina/multiclass-prediction-obesity", "kernel_id": "50622652"}, {"ref": "chenjiexu/catboost-baseline", "kernel_id": "50726146"}, {"ref": "tooba10/obesity-prediction", "kernel_id": "50868983"}, {"ref": "oscarm524/ps-s4-ep2-eda-modeling-submission", "kernel_id": "50294554"}, {"ref": "natsu18/pg-s4e2-ensemble-xgb-lgb-catboost-optuna", "kernel_id": "50460979"}, {"ref": "natsu18/optuna-hyperparameter-tuning-pgs4e2", "kernel_id": "50539223"}, {"ref": "natsu18/pgs-s4e2-lgboost-and-adversarial-validation", "kernel_id": "50343488"}, {"ref": "rajo09/obesity-xgb-lgbm-score-0-90606", "kernel_id": "50376901"}, {"ref": "herczeggyrgy/xgboost-class", "kernel_id": "50801924"}, {"ref": "jojoyin/multi-class-prediction-with-open-box", "kernel_id": "50687393"}, {"ref": "rucheiitr/multi-class-prediction-of-obesity-risk", "kernel_id": "50831584"}, {"ref": "craigmthomas/play-s4e2-eda-basic-models", "kernel_id": "50291791"}, {"ref": "umar47/s4e2-obesity-risk-baseline-eda-model-evaluation", "kernel_id": "50335557"}, {"ref": "v23joshi/basic-eda-obesity-data", "kernel_id": "50629027"}, {"ref": "vaibhavbawej07/multi-class-prediction-obesity-90-accuracy", "kernel_id": "50195009"}, {"ref": "jedrzejm/basic-usage-of-xgboost-with-default-parameters-91", "kernel_id": "50818619"}, {"ref": "ivanvaccari/s04e02-90-eda-catboost-hyperoptimized", "kernel_id": "50309227"}, {"ref": "ivanvaccari/s04e02-91-eda-voting-approach-optimized", "kernel_id": "50693606"}, {"ref": "ayhampar/multi-class-catboostclassifier", "kernel_id": "50307736"}, {"ref": "ayhampar/catboostclassifier-xgb-classifier", "kernel_id": "50364444"}, {"ref": "ayhampar/votingclassifier-4-models", "kernel_id": "50410725"}, {"ref": "stpeteishii/ps-s4e2-ohe-catboost-w-optuna", "kernel_id": "50454837"}, {"ref": "stpeteishii/ps-s4e2-ohe-lgbm-w-optuna", "kernel_id": "50370521"}, {"ref": "stpeteishii/r-ps-s4e2-histplot", "kernel_id": "50375925"}, {"ref": "stpeteishii/ps-s4e2-histplot", "kernel_id": "50347393"}, {"ref": "stpeteishii/ps-s4e2-lgbm-w-optuna", "kernel_id": "50351247"}, {"ref": "jokerinthapack/playground-s4e2-dae-ensemble", "kernel_id": "50310356"}, {"ref": "jokerinthapack/take-out-the-noise-bring-in-the-funk", "kernel_id": "50663418"}, {"ref": "jokerinthapack/s4e2-pipeline", "kernel_id": "50795140"}, {"ref": "waelr1985/xgboost-optuna-hyperparameters-v1", "kernel_id": "50623922"}, {"ref": "waelr1985/esemble-model-optuna", "kernel_id": "50714281"}, {"ref": "waelr1985/playground-series-eda-obesity-risk", "kernel_id": "50389597"}, {"ref": "waelr1985/training-xgboost-model", "kernel_id": "50481811"}, {"ref": "ted0071/ps-season-4-episode-2-eda-xgb-classifier", "kernel_id": "50410945"}, {"ref": "ted0071/ps-season-4-episode-2-simple-solution-bmi", "kernel_id": "50460560"}, {"ref": "blade007/not-so-good-obesity-prediction", "kernel_id": "50864735"}, {"ref": "shiwayz/obesity-classification-98-11-orig-91-47-comp", "kernel_id": "50572615"}, {"ref": "shiwayz/97-63-orig-89-14-comp-obesity-pred-nn", "kernel_id": "50686431"}, {"ref": "shiwayz/97-4-orig-91-75-comp-obesity-pred", "kernel_id": "50507530"}, {"ref": "juliastencel/prediction-of-obesity-risk-svm-rf-nn", "kernel_id": "50310688"}, {"ref": "anzarwani2/beginner-notebook-91-accuracy", "kernel_id": "50313499"}, {"ref": "mpwolke/recycling-my-obesity-shap-values-eli5", "kernel_id": "50295057"}, {"ref": "brysonje/s2e4-lightboost-0-91221", "kernel_id": "50383812"}, {"ref": "saurav9786/eda-baseline-model-for-obesity-risk", "kernel_id": "50347694"}, {"ref": "saurav9786/xgboost-hyperparameter-tuning", "kernel_id": "50498334"}, {"ref": "mvoulo/predictingobesity", "kernel_id": "50676306"}, {"ref": "apalladi/90-9-accuracy-with-15-lines-of-code-and-catboost", "kernel_id": "50383293"}, {"ref": "apalladi/top-10-with-simple-eda-votingclassifier", "kernel_id": "50338342"}, {"ref": "jaloeffe92/playground-obesity-risk-lgbm-with-optuna", "kernel_id": "50493550"}, {"ref": "samlakhmani/91-8-baseline-xgb-optuna", "kernel_id": "50905555"}, {"ref": "samlakhmani/easy-92-196-single-model", "kernel_id": "50464223"}, {"ref": "samlakhmani/91-58-no-fe-cat-lgbm", "kernel_id": "50323859"}, {"ref": "samlakhmani/eda-ideas-to-help-you-start-feature-engine", "kernel_id": "50371793"}, {"ref": "samlakhmani/easy-91-baseline-lgbm", "kernel_id": "50371413"}, {"ref": "cid007/obesity-risk-eda-bl", "kernel_id": "50291174"}, {"ref": "naarku30/obesity-risk-eda-scaling-model-build", "kernel_id": "50838114"}, {"ref": "carljvh/obesity-xgb-hyperopt", "kernel_id": "50942500"}, {"ref": "carljvh/obesity-lgmb-first-shot", "kernel_id": "50937326"}, {"ref": "carljvh/xgboost-obesity", "kernel_id": "50897847"}, {"ref": "carljvh/obesity-rf-neural-net", "kernel_id": "50862514"}, {"ref": "carljvh/obesity-risk-random-forests", "kernel_id": "50822638"}, {"ref": "carljvh/obesity-risk-baseline-fastai-deep-learning", "kernel_id": "50602217"}, {"ref": "carljvh/obesity-risk-trying-different-architectures", "kernel_id": "50639770"}, {"ref": "pollicio/easy-solution-92-accuracy-optuna-acuevas", "kernel_id": "50428855"}, {"ref": "naiku007/multi-class-feb24-basic-model-no-fe", "kernel_id": "50313503"}, {"ref": "parthr164/ps4e2-obesity-risk-prediction", "kernel_id": "50292427"}, {"ref": "rajsengo/xgboost-catboost-and-optuna", "kernel_id": "50327350"}, {"ref": "santusrk/initial-stage-xgboost-0-911", "kernel_id": "50708559"}, {"ref": "vivekrevi/pg-s4e2-lb-score-0-91-xgb-simple", "kernel_id": "50728872"}, {"ref": "kkhandekar/classifying-obesity-risk", "kernel_id": "50344637"}, {"ref": "arjunjanamatti/basic-model", "kernel_id": "50304394"}, {"ref": "kuboiyusuke/ps4e2-default-feature-rf-xgb-lgbm", "kernel_id": "50390047"}, {"ref": "danielfourie/ps4e2-obesity-risk-advanced-eda-xgboost", "kernel_id": "50304034"}, {"ref": "vishnuoum/obesity-risk-eda-modelling", "kernel_id": "50398019"}, {"ref": "lumierebatalong/obesity-risk-keras-feature-engineering", "kernel_id": "50816094"}, {"ref": "jinyoungheo/91-5-obesity-baseline-essential-contents", "kernel_id": "50967229"}, {"ref": "nickfecondo/obesity-risk", "kernel_id": "50322612"}, {"ref": "prakashadhikari/obesity-risk-prediction", "kernel_id": "50403490"}, {"ref": "kdmitrie/pgs42-just-few-lines-of-autogluon", "kernel_id": "50305098"}, {"ref": "medhatkhalifa/notebook9fecec264f", "kernel_id": "50910854"}, {"ref": "shubhams652/obesity-risk-classification-random-forest", "kernel_id": "50477414"}, {"ref": "pinoystat/neural-networks-voting-classifier-multi-class", "kernel_id": "50928754"}, {"ref": "yeonseokcho/obesity-multi-class-prediction", "kernel_id": "50388027"}, {"ref": "likithavarma112/predict-obesity-competition", "kernel_id": "50814863"}, {"ref": "giladaharoni/multi-class-prediction-of-obesity-risk", "kernel_id": "50958978"}, {"ref": "mdtanviranjum/obesity-prediction-90-accuracy", "kernel_id": "50951764"}, {"ref": "michelecomotti/multi-class-prediction-of-obesity-risk-svc", "kernel_id": "50663053"}, {"ref": "mahmoudragabsaber/multi-class-prediction-of-obesity-risk", "kernel_id": "50962848"}, {"ref": "srirachana/notebook2711beb51f", "kernel_id": "50686492"}, {"ref": "manuelandersen/91-05-cv-pgs4e2-lgbm-experiments", "kernel_id": "50427908"}, {"ref": "manuelandersen/update-pgs4e2-extensive-eda", "kernel_id": "50337538"}, {"ref": "manuelandersen/90-7-cv-pgs4e2-catboost-experiments", "kernel_id": "50721226"}, {"ref": "manuelandersen/91-14-cv-pgs4e2-xgboost-experiments", "kernel_id": "50573057"}, {"ref": "hopesb/obesity-risk-get-above-0-9-in-the-leaderboard", "kernel_id": "50380490"}, {"ref": "kenconstable/soft-voting-ensemble-xgb-lgbm-catboost-0-91", "kernel_id": "50341144"}, {"ref": "marcogtt/playground-competition-s4e2", "kernel_id": "50320087"}, {"ref": "beckpro/wip-obesity-risk-fastfood-eda", "kernel_id": "50378421"}, {"ref": "farhankardan/advanced-eda-and-modeling", "kernel_id": "50495719"}, {"ref": "scarfx/prediction-of-obesity-risk", "kernel_id": "50868323"}, {"ref": "rasva1/obesity-risk", "kernel_id": "50516830"}, {"ref": "thiagomantuani/ps4e02-obesity-risk-eda-baseline", "kernel_id": "50290457"}, {"ref": "karthikgangula/eda-on-obesity-factors", "kernel_id": "50316068"}, {"ref": "trhgquan/ps4e02", "kernel_id": "50455490"}, {"ref": "muhammadammarjamshed/simple-class-prediction", "kernel_id": "50622104"}, {"ref": "tracyporter/play-4-2-obesity-flax-mlpc-softmax", "kernel_id": "50418623"}, {"ref": "suranjandas1990/playground-s4e2-eda", "kernel_id": "50616548"}, {"ref": "venkatkumar001/baseline-initial-boosting-approach", "kernel_id": "50315681"}, {"ref": "shazzsamed/eda-with-insights", "kernel_id": "50452342"}, {"ref": "birlinha/science-multiclass-obesity-risk-pt-br", "kernel_id": "50794498"}, {"ref": "jigglyjonny/obesity-comp", "kernel_id": "50805618"}, {"ref": "thomasmeiner/ps4e2-bluecast-single-model", "kernel_id": "50585402"}, {"ref": "thomasmeiner/ps4e2-mondrain-conformal-prediction", "kernel_id": "50649429"}, {"ref": "thomasmeiner/ps4e2-eda-feature-engineering-modelling", "kernel_id": "50297649"}, {"ref": "radturkin/babys-first-obesity-notebook", "kernel_id": "50439897"}, {"ref": "swojandattasammya/try-different-cnn-x", "kernel_id": "50731246"}, {"ref": "loycelorenzo/obesity-risk-fast-ai-xgboost-smote", "kernel_id": "50468557"}, {"ref": "eduardod/98-82-accuracy-obesity-risk-with-xgboost", "kernel_id": "50617252"}, {"ref": "chinmayadatt/comparative-study-of-performance-0-92015", "kernel_id": "50375462"}, {"ref": "chinmayadatt/best-fitting-data-distribution-an-analysis", "kernel_id": "50750517"}, {"ref": "guedes5132/multi-class-prediction-of-obesity-risk", "kernel_id": "50324318"}, {"ref": "mawro73/multi-class-prediction-0-92-lgbm-top15", "kernel_id": "50866710"}, {"ref": "tasfiqkamran/pandas-fundamentals", "kernel_id": "50644783"}, {"ref": "tasfiqkamran/obesity-risk-data-visuals", "kernel_id": "50900526"}, {"ref": "jaisuryasundarbabu/basic-multi-classification-using-xgboost-and-rf", "kernel_id": "50365878"}, {"ref": "amitadhi/multi-class-prediction-of-obesity-risk-rfc", "kernel_id": "50882795"}, {"ref": "amitadhi/multi-class-prediction-of-obesity-risk-lgbm", "kernel_id": "50886913"}, {"ref": "mcpenguin/ps4e2-multiclass-prediction-of-obesity-baseline", "kernel_id": "50327586"}, {"ref": "kowshikdebnath/xgboost-91", "kernel_id": "50473008"}, {"ref": "kowshikdebnath/ensamble-xgboost-catboost-lightgbm-90-35", "kernel_id": "50382018"}, {"ref": "manieswar/obesity-risk-predictor-using-rf-classifier-94-7", "kernel_id": "50329420"}, {"ref": "carlosalvro/obesity-risk-multiclass-analisys", "kernel_id": "50343593"}, {"ref": "carlosalvro/do-you-know-what-s-boosting", "kernel_id": "50627184"}, {"ref": "marcogherbezza/are-you-at-risk-of-obesity", "kernel_id": "50327252"}, {"ref": "khalidemam/multi-class-prediction-of-obesity-risk", "kernel_id": "50716792"}, {"ref": "simple11/predict-obesity-risk", "kernel_id": "50320257"}, {"ref": "elireckless/xgboost-and-optuna", "kernel_id": "50436922"}, {"ref": "afrologicinsect/rmse-0-3702-obesity-gb-classifier", "kernel_id": "50994801"}, {"ref": "anuwaz/class-imbalance-fixed-deep-neural-network", "kernel_id": "50892475"}, {"ref": "anuwaz/s4-e2-pytorch-deep-neural-network", "kernel_id": "50803978"}, {"ref": "anuwaz/ps-s4e2-simple-neural-network", "kernel_id": "50355959"}, {"ref": "santosh1974/ps4-e2-v2-eda-and-stunning-visualizations", "kernel_id": "50352475"}, {"ref": "santosh1974/ps4-e2-v3", "kernel_id": "50424463"}, {"ref": "santosh1974/ps4-e2-v4", "kernel_id": "50459653"}, {"ref": "santosh1974/ps4-e2-v5", "kernel_id": "50503990"}, {"ref": "romeodavid/ann-multi-class-prediction-of-obesity-risk", "kernel_id": "50819346"}, {"ref": "romeodavid/multi-class-prediction-of-obesity-risk", "kernel_id": "50816498"}, {"ref": "jimgruman/tabnet", "kernel_id": "50566263"}, {"ref": "jimgruman/keras", "kernel_id": "50470820"}, {"ref": "jimgruman/overweight-level-ii", "kernel_id": "50332251"}, {"ref": "jimgruman/overweight-level-i", "kernel_id": "50292581"}, {"ref": "jimgruman/overweight-level-iii", "kernel_id": "50757361"}, {"ref": "jimgruman/automl", "kernel_id": "50622619"}, {"ref": "gabedossantos/eda-xgboost-91-5", "kernel_id": "50322071"}, {"ref": "moyamoya/ps4e2-lightgbm-regressor-approach", "kernel_id": "50654078"}, {"ref": "moyamoya/ps4e2-catboost-optuna", "kernel_id": "50311146"}, {"ref": "sachinbulchandani/multiclassclassification", "kernel_id": "50497562"}, {"ref": "chalseo/multiclassification-obesity-risk", "kernel_id": "50518026"}, {"ref": "pawanthapaliya/multi-class-prediction-of-obesity-risk", "kernel_id": "50962685"}, {"ref": "sailikithd004/obesity-prediction-rf", "kernel_id": "50861177"}, {"ref": "kaushaltiwari/preprocessing-training-an-xgboost-model", "kernel_id": "50446415"}, {"ref": "azminetoushikwasi/introduction-to-cross-validation-types-and-codes", "kernel_id": "50471695"}, {"ref": "ubaydulloasatullaev/obesity-risk-random-forest-0-88439", "kernel_id": "50291574"}, {"ref": "mohamedtahaouf/multi-class-prediction-of-obesity-risk", "kernel_id": "50706462"}, {"ref": "mohamedtahaouf/obesity-risk-one-shot-lbg-91-763", "kernel_id": "50412467"}, {"ref": "mohamedtahaouf/using-optuna-for-hyperparameters", "kernel_id": "50320347"}, {"ref": "mohamedtahaouf/multi-class-prediction-of-obesity-risk-919", "kernel_id": "50319257"}, {"ref": "hainescity/playground-series-s4e2-eda-catboost", "kernel_id": "50867107"}, {"ref": "amirkotobi/obesity-classification-skfold-ensemble-learning", "kernel_id": "50695167"}, {"ref": "luckychitundu/obesity-risk-tpg", "kernel_id": "50663889"}, {"ref": "srsses/multiclass-classification-obesity", "kernel_id": "50565709"}, {"ref": "abdelrhmanelhelaly/91-5-accuracy", "kernel_id": "50711143"}, {"ref": "oneskylord/multi-classification-98-3-random-forest", "kernel_id": "50558634"}, {"ref": "mdismielhossenabir/plotly-analysis-and-prediction", "kernel_id": "50350313"}, {"ref": "zhichaocheng/obesity-risk-xgboost", "kernel_id": "50485077"}, {"ref": "conradkleykamp/obesity-classification-lgbm", "kernel_id": "50947530"}, {"ref": "purusachdeva/obesity-risk-prediction", "kernel_id": "50812206"}, {"ref": "mahendra301/obesity-risk-prediction-light-gbm-with-91", "kernel_id": "50581854"}, {"ref": "m1y7k8/ps4e2-obesity-risk", "kernel_id": "50763654"}, {"ref": "barbagrande007/bbg007-s4e2-obesity", "kernel_id": "50327461"}, {"ref": "osamaakhaled/ensemble-models-of-obesity-risk-problem", "kernel_id": "50644961"}, {"ref": "hrhuynguyen/ps4e2", "kernel_id": "50393110"}, {"ref": "act18l/s4e2-ordinal-model", "kernel_id": "50742048"}, {"ref": "tdoh86/pg4-2-eda-and-baseline", "kernel_id": "50365386"}, {"ref": "nitishviraktamath/obesity-cvd-risk-val-accuracy-0-9139", "kernel_id": "50689792"}, {"ref": "ayaabdalsalam/analysis-of-obesityrisks", "kernel_id": "50541942"}, {"ref": "rm1000/eda-xgboost-lightgbm-catboost", "kernel_id": "50469960"}, {"ref": "ravi20076/playgrounds4e02-eda-autogluon", "kernel_id": "50373114"}, {"ref": "ravi20076/playgrounds4e02-features", "kernel_id": "50463517"}, {"ref": "ravi20076/playgrounds4e02-extraftre-models", "kernel_id": "50507387"}, {"ref": "ravi20076/playgrounds4e02-eda-baseline", "kernel_id": "50291531"}, {"ref": "sujaykapadnis/testing-a-playground-agent", "kernel_id": "50633573"}, {"ref": "dimakulbida/obesity-risk", "kernel_id": "50601614"}, {"ref": "kamalapousajja/obesity-risk-prediction", "kernel_id": "50642063"}, {"ref": "kamalapousajja/beginner-multi-class-prediction-of-obesity-risk", "kernel_id": "50410180"}, {"ref": "fekihmea/data-refinement-outliers-by-bmi-body-mass-index", "kernel_id": "50690695"}, {"ref": "rushil999/good-game", "kernel_id": "50722669"}, {"ref": "rushil999/good-game-1", "kernel_id": "50903043"}, {"ref": "kacperma/pycaret-multi-class-prediction-of-obesity-risk", "kernel_id": "50664463"}, {"ref": "userbitco/playground-s4e2-eda-ensemble-modeling", "kernel_id": "50293062"}, {"ref": "muhriddinmalik/obesity-risk-competition-notebook", "kernel_id": "50807966"}, {"ref": "ridwanakmal/effortless-baseline-a-one-line-code", "kernel_id": "50326851"}, {"ref": "temiloluwapikuda/multi-class-prediction-of-obesity-risk", "kernel_id": "50735223"}, {"ref": "adrienriaux/histgradientboosting-with-optuna", "kernel_id": "50467102"}, {"ref": "poonzhexuan/bayesian-optimization-lgbm-xgboost-rf-ensemble", "kernel_id": "50473682"}, {"ref": "klyushnik/kears-multi-class-task", "kernel_id": "50538037"}, {"ref": "klyushnik/xx-ensemble-multiclass-xxx", "kernel_id": "50595247"}, {"ref": "naimishbhoi/xgboost-with-parameter-tuning-rfecv", "kernel_id": "50870481"}, {"ref": "anibansal/multi-class-prediction-of-obesity-risk", "kernel_id": "50477654"}, {"ref": "giorgoszachariadis/overfit-level-i-91-eda-fe-model-shap", "kernel_id": "50386523"}, {"ref": "susanketsarkar/multi-class-obesity-prediction-beginner-notebook", "kernel_id": "50786744"}, {"ref": "mvabhishek/obesity-risk-prediction-using-classification", "kernel_id": "50920090"}, {"ref": "natsukihashimoto/sinple-multi-classifier", "kernel_id": "50865682"}, {"ref": "manoharali/obesity-risk-predictions", "kernel_id": "50522613"}, {"ref": "maseratiurm/ps4e02-be-sure-to-look-visual-eda-0-90", "kernel_id": "50558216"}, {"ref": "eyosiasteffera/multi-class-prediction-of-obesity-risk", "kernel_id": "50385366"}, {"ref": "dhineshbabbu/abd-multi-class-prediction-of-obesity-risk", "kernel_id": "50395403"}, {"ref": "anamikakumari456/prediction-of-obesity-rlevels-using-ml-lightgbm", "kernel_id": "50720421"}, {"ref": "snehalpawar22/simple-eda-insights-obesity", "kernel_id": "50536553"}, {"ref": "iqmansingh/obesity-risk-xgb-lgbm-using-nn-optuna", "kernel_id": "50425208"}, {"ref": "iqmansingh/obesity-risk-simple-dl-approach", "kernel_id": "50418588"}, {"ref": "packinman/ps-s4e2-baseline-prediction-by-catboost", "kernel_id": "50348636"}, {"ref": "packinman/ps-s4e2-simple-eda", "kernel_id": "50309602"}, {"ref": "kattat/obesity-prediction-eda-fe-pytorch", "kernel_id": "50307223"}, {"ref": "anujbalraj/multi-class-prediction", "kernel_id": "50886469"}, {"ref": "annadsjp/eda-quick-insights-easy-visualization", "kernel_id": "50457826"}, {"ref": "pranav28/obesity", "kernel_id": "50811365"}, {"ref": "vayanshgarg/playground-obesity-risk-rf-xgb-lgbm-ensemble", "kernel_id": "50732326"}, {"ref": "mannatpruthi/multiclass-prediction-for-obesity", "kernel_id": "50974096"}, {"ref": "abyssskb/obesity-risk-xgboost-hyperopt-91-6", "kernel_id": "50604602"}, {"ref": "rzatemizel/lgbm-baseline-tune-to-death", "kernel_id": "50370199"}, {"ref": "vidhikishorwaghela/multi-class-prediction-of-obesity-risk", "kernel_id": "50411828"}, {"ref": "pelinkeskin/dnn-multi-input-tabular-transformer", "kernel_id": "50873445"}, {"ref": "jhicks2306/obesity-risk-top-10-xgb-lgbm-explained", "kernel_id": "50985847"}, {"ref": "alnourabdalrahman9/prediction-of-obesity-risk", "kernel_id": "50292108"}, {"ref": "uviiiii/predictions-89-simple-xgboost", "kernel_id": "50455425"}, {"ref": "sunny7712/s4e2-eda-baseline", "kernel_id": "50343267"}, {"ref": "uzairshafique/ps-s4e2-eda-optuna-xgboost-91-accuracy", "kernel_id": "50365429"}, {"ref": "alioraji/multi-class-prediction-a-o", "kernel_id": "50597754"}, {"ref": "shreyasharma28/obesityrisk", "kernel_id": "50351923"}, {"ref": "mariusborel/obesity-risk-multi-class-prediction", "kernel_id": "50618326"}, {"ref": "mariusborel/obesity-prediction-submission", "kernel_id": "50762400"}, {"ref": "kapturovalexander/kapturov-s-solution-of-ps-s4e2", "kernel_id": "50309523"}, {"ref": "sergeypolivin/obesity-risk-prediction-using-gb-models", "kernel_id": "50753179"}, {"ref": "risakashiwabara/obesity-risk-pytorch", "kernel_id": "50842118"}, {"ref": "risakashiwabara/profilereport-obesity-risk", "kernel_id": "50596617"}, {"ref": "gamirandads/multi-class-obesity-risk-lightgbm-and-optuna", "kernel_id": "50517667"}, {"ref": "mrrajsingh/multiple-implementations-of-obesity-disease-data", "kernel_id": "50702766"}, {"ref": "samvelkoch/s4e2-of-400-features-to-add", "kernel_id": "50448312"}, {"ref": "prateek2002154/playground-s4e2-ml-models", "kernel_id": "50329528"}, {"ref": "prateek2002154/playground-s4e2-automl", "kernel_id": "50338217"}, {"ref": "hallojong0319/91-65-obesity-xgboost-voting-onevsrest", "kernel_id": "50543777"}, {"ref": "hallojong0319/91-eda-preprocessing-baseline-model-easy", "kernel_id": "50336598"}, {"ref": "akashbabu17/obesity-risk-prediction", "kernel_id": "50610272"}, {"ref": "kagleo123/playgrounds4e2-obesity-risk-xgb-lgbm-optuna", "kernel_id": "50482753"}, {"ref": "thiagolimasantos/ps23-ep02-pipeline-nn-kerastuner", "kernel_id": "50737777"}, {"ref": "thiagolimasantos/p24e02-eda-model-essemble", "kernel_id": "50372097"}, {"ref": "ivodzalbs/91-2-obesity-risk-with-bmi-feature-added", "kernel_id": "50380044"}, {"ref": "akokoo/s4e02-data-xgboost-eda", "kernel_id": "50491657"}, {"ref": "chanchal24/obesity-risk-xgbclassifier", "kernel_id": "50738495"}, {"ref": "ucupsedaya/90-bayesianoptimization-meta-learning-s4e2-comp", "kernel_id": "50632986"}, {"ref": "humbleyll/mcpor-baseline", "kernel_id": "50578959"}, {"ref": "indranil98/mlp-mentoring-sessions-indranil", "kernel_id": "50778237"}, {"ref": "danishelahi/obesity-risk", "kernel_id": "50763231"}, {"ref": "hbsaakashyadav/multi-class-prediction-of-obesity-risk", "kernel_id": "50546610"}, {"ref": "suvansh03/multi-class-prediction-of-obesity-risk", "kernel_id": "50613908"}, {"ref": "manvirkaur19/prediction-on-obesity-risk", "kernel_id": "50545217"}, {"ref": "harleenkaurdeora/multi-class-prediction-of-obesity", "kernel_id": "50544850"}, {"ref": "kriti264/obesity-risk-prediction-using-lgbm-and-xgb", "kernel_id": "50497326"}, {"ref": "dinamus/simple-eda-xgboost-90-accuracy", "kernel_id": "50347064"}, {"ref": "victorhts/competition-prediction-of-obesity-risk-gbc", "kernel_id": "50814836"}, {"ref": "obliquedbishop/ps4e2-ensemble", "kernel_id": "50444845"}, {"ref": "obliquedbishop/ps4e2-eda-and-visualization", "kernel_id": "50439073"}, {"ref": "chunhsientsai/ps4e2-feature-engineering-xgb", "kernel_id": "50981046"}, {"ref": "hasibullahaman/s4e2-playground", "kernel_id": "50389370"}, {"ref": "maxserra/multi-class-obesity-sklearn", "kernel_id": "50562779"}, {"ref": "mrityunjay110/multi-class-obesity-prediction", "kernel_id": "50474804"}, {"ref": "rrishi23/beginner-eda-catboost-optuna-89-86", "kernel_id": "50702896"}, {"ref": "abduazizabduraxmonov/playground-series-obesity-risk-s4-e2", "kernel_id": "50582797"}, {"ref": "anubhavmaverick/anubhav-obesity-prediction", "kernel_id": "50332441"}, {"ref": "harharharhar/4-02-obesity-6-0-xgboost", "kernel_id": "50331146"}, {"ref": "nipun356/obesity-risk", "kernel_id": "50475942"}, {"ref": "cybersimar08/obesity-risk-prediction-xgb-lgb-oof", "kernel_id": "50297289"}, {"ref": "cybersimar08/obesity-risk-prediction-tabnet", "kernel_id": "50515062"}, {"ref": "keerthanas57/predictionofobesityrisk-91-9-using-11algorithms", "kernel_id": "50727948"}, {"ref": "sajjadhajian/multi-class-prediction-of-obesity-risk", "kernel_id": "50653633"}, {"ref": "gargivipat/obesity-risk-eda-classification", "kernel_id": "50537228"}, {"ref": "francescoliveras/ps-s4-e2-eda-model-en-es", "kernel_id": "50303316"}, {"ref": "mouadberqia/obesity-risk-prediction-lgbm-xgboost", "kernel_id": "50522991"}, {"ref": "mouadberqia/obesity-risk-prediction-tabpfn", "kernel_id": "50549748"}, {"ref": "juniorbertrand/ps4e02-solution-feature-store-model-registry", "kernel_id": "50315424"}, {"ref": "kepler296b/obesity-risk", "kernel_id": "50879243"}, {"ref": "meesh11/s4e2-forest-classifiers", "kernel_id": "50629782"}, {"ref": "akhiljethwa/playground-s4e2-eda-modeling-91-0", "kernel_id": "50302368"}, {"ref": "akhiljethwa/using-generative-ai-for-eda", "kernel_id": "50771860"}, {"ref": "marcoslirola/obesity-prediction-v2", "kernel_id": "50789922"}, {"ref": "utkarshsaxenadn/obesity-risk-detection-eda-xgboost", "kernel_id": "50529843"}, {"ref": "pixelshooter/obesity-risk-eda", "kernel_id": "50386957"}, {"ref": "pixelshooter/simple-catboost-0-90281-optuna", "kernel_id": "50390434"}, {"ref": "smitraval24/eda-simple-ann-keras-hyperparameter-tuning", "kernel_id": "50630800"}, {"ref": "smitraval24/91-easy-automl-autogluon", "kernel_id": "50816963"}, {"ref": "smitraval24/eda-baseline-xgb-lgbm-catboost-pipelines", "kernel_id": "50303985"}, {"ref": "ekara96/xgb-classifier-0-91473-obesity-risk", "kernel_id": "50602888"}, {"ref": "ekara96/ps4e2-eda-visualization-xgboost-x-lightgbm-top-10", "kernel_id": "50656051"}, {"ref": "sakibulislam216/feature-eda-eng-sfs-dt", "kernel_id": "50731939"}, {"ref": "sakibulislam216/obesity-risk-stacking-86", "kernel_id": "50769763"}, {"ref": "sakibulislam216/feature-reduction-feature-eng-rf", "kernel_id": "50783753"}, {"ref": "ronitakhariya/eda-finetuning-0-909", "kernel_id": "50505550"}, {"ref": "sanyamgoyal401/obesity-classification-using-xgboost", "kernel_id": "50688239"}, {"ref": "rafiromolo/obesity-risk-prediction-with-various-ml-models", "kernel_id": "50409347"}, {"ref": "rajsahu2004/xgbclassifier-hybrid-randomizedsearch-gridsearchcv", "kernel_id": "50535692"}, {"ref": "mridul2003/obesity-risk-prediction", "kernel_id": "50512204"}, {"ref": "ucas0v0zhuoqunli/pss4e2-flaml", "kernel_id": "50291311"}, {"ref": "ucas0v0zhuoqunli/pss4e2-flaml-ensemble", "kernel_id": "50292654"}, {"ref": "devendrasingh22/playground-series-obesity", "kernel_id": "50906130"}, {"ref": "kuryakin/ps-s4e2-prediction-obesity-risk", "kernel_id": "50316496"}, {"ref": "kuryakin/ps-s4e2-eda-modeling-submission", "kernel_id": "50327518"}, {"ref": "viliuspstininkas/the-only-eda-you-will-need", "kernel_id": "50303138"}, {"ref": "robertorenna/obesity-risk-automl-approach", "kernel_id": "50334302"}, {"ref": "mathewshuvarikov/multi-class-prediction-of-obesity-risk-lightautoml", "kernel_id": "50417130"}, {"ref": "carloscll/unveiling-insights-season-4-episode-2", "kernel_id": "50433681"}, {"ref": "carloscll/cross-validation-lgbm-base", "kernel_id": "50391316"}, {"ref": "carloscll/base-s4e2-logit", "kernel_id": "50300025"}, {"ref": "carloscll/insights-s4e2-eda", "kernel_id": "50293785"}, {"ref": "carloscll/bagging-baseline-s4e2", "kernel_id": "50579643"}, {"ref": "tarundirector/multi-class-obesity-risk-eda", "kernel_id": "50304302"}, {"ref": "fajemisinadeniyi/obesity-classification", "kernel_id": "50305881"}, {"ref": "subhamsarkar2002/xgboost-on-obesity-gpu", "kernel_id": "50447450"}, {"ref": "ghostdragons/obesity-prediction", "kernel_id": "50635322"}, {"ref": "crisbebop/obesity-class-lgbm-ovr-vs-mult", "kernel_id": "50954951"}, {"ref": "shamsin/notebook0a6b074a9a", "kernel_id": "50400752"}, {"ref": "alexeyk12/the-fat-catboost", "kernel_id": "50295859"}, {"ref": "riteshkushwaha08/multi-class-prediction-of-obesity-risk", "kernel_id": "50404570"}, {"ref": "artemkhadris/optuna-solution-no-graphs", "kernel_id": "50952710"}, {"ref": "bhavyaprakash02/obesity-level-classification", "kernel_id": "50634306"}, {"ref": "nikhilchadha1537/obesity-risk-notebook", "kernel_id": "50426262"}, {"ref": "ardaorcun/fast-characteristics-of-the-data-with-pandas-dq", "kernel_id": "50311458"}, {"ref": "enizzzz/easy-to-follow-boosting-algorithms", "kernel_id": "50900635"}, {"ref": "enizzzz/beginner-friendly-eda-with-seaborn-and-matplot", "kernel_id": "50322053"}, {"ref": "enizzzz/hyperparameter-tuning-feature-selection-90acc", "kernel_id": "50497060"}, {"ref": "enizzzz/ready-to-use-data-preparation-feature-eng", "kernel_id": "50474502"}, {"ref": "eu1234/obesityrisk-multitarget", "kernel_id": "50468865"}, {"ref": "hardikgarg03/obesity-risk-random-forest-xgboost-96-2-accuracy", "kernel_id": "50469272"}, {"ref": "jovanagenti/neural-network-89-obesity-prediction", "kernel_id": "50699184"}, {"ref": "jovanagenti/ensemble-nn-90-rf-91-gb-92-rf-91-xgb-92", "kernel_id": "50908011"}, {"ref": "benzilla987/pg-s4-e2", "kernel_id": "50505085"}, {"ref": "endofnight17j03/obesityrisk-92-voting-lgbm", "kernel_id": "50365454"}, {"ref": "pavlobaranchuk/multi-class-prediction-obesity-risk", "kernel_id": "50333897"}, {"ref": "lucasdataartist/feature-eng-predict-obesity-risk", "kernel_id": "50341762"}, {"ref": "lucasdataartist/model-explainability-predict-obesity-risk", "kernel_id": "50307159"}, {"ref": "lucasdataartist/eda-prediction-of-obesity-risk", "kernel_id": "50292837"}, {"ref": "eouedraogo4/obesity-risk-xgboost-optuna", "kernel_id": "50312357"}, {"ref": "florianbeklein/autogluon-baseline-model", "kernel_id": "50290501"}, {"ref": "atharva0577/s4e2-voting-neuralnetwork-catboost-optuna", "kernel_id": "50292545"}, {"ref": "tianmaru/obelix", "kernel_id": "50832001"}, {"ref": "asmasohail/prediction-obesity-by-ml", "kernel_id": "50526525"}, {"ref": "rui314/multi-class-prediction-with-tensorflow", "kernel_id": "50708663"}, {"ref": "jrkhops/playground-s4e2", "kernel_id": "50610883"}, {"ref": "aadhafun/pss4e2-eda-xgboost-optuna", "kernel_id": "50318120"}, {"ref": "cristhianccalah/multi-class-prediction-of-obesity-risk-mlp", "kernel_id": "50803897"}, {"ref": "cristhianccalah/multi-class-prediction-of-obesity-risk-tf", "kernel_id": "50804412"}, {"ref": "cristhianccalah/multi-class-prediction-of-obesity-risk-svm", "kernel_id": "50679259"}, {"ref": "habilamar/simple-logistic-regression-s4e2-playground", "kernel_id": "50628706"}, {"ref": "habilamar/lgbm-kaggle-playground-s4e2", "kernel_id": "50653627"}, {"ref": "maryamsikander/obesity-risk-prediction-92-accuracy-lgbm", "kernel_id": "50409651"}, {"ref": "siangwunsiao/obestity", "kernel_id": "50503181"}, {"ref": "eishkaran/shortest-code-autogluon", "kernel_id": "50333374"}, {"ref": "xietaowang/s4e02-basic-baseline-eda", "kernel_id": "50320145"}, {"ref": "getanmolgupta01/obese-pred-92-eda-catboost-lgbm-xgboost", "kernel_id": "50335323"}, {"ref": "brmil07/multi-class-prediction", "kernel_id": "50639463"}, {"ref": "shantanugupta2004/lgbm-hyperparameter-91-943-accuracy", "kernel_id": "50850797"}, {"ref": "shantanugupta2004/xgboost-91-2-accuracy", "kernel_id": "50554398"}, {"ref": "vishnupriyagarige/obesity-risk-with-lgbm-xgb", "kernel_id": "50531877"}, {"ref": "vishnupriyagarige/obesity-risk", "kernel_id": "50346443"}, {"ref": "vishnupriyagarige/obesity-risk-with-catboost", "kernel_id": "50764170"}, {"ref": "oheula/obesity-prediction", "kernel_id": "50535139"}, {"ref": "yunsuxiaozi/pss4e2-baseline-autogluon-classification", "kernel_id": "50290286"}, {"ref": "yunsuxiaozi/pss4e2-study-note", "kernel_id": "50721585"}, {"ref": "sofiaromanovna/first-attempt-kaggle-obesity-prediction", "kernel_id": "50961333"}, {"ref": "anmolarora15/obesity-risk-prediction-in-depth-eda", "kernel_id": "50316551"}, {"ref": "neupane9sujal/obesity-risk-prediction-majority-voting-with-oof", "kernel_id": "50401461"}, {"ref": "neupane9sujal/multi-class-prediction-catboost", "kernel_id": "50306115"}, {"ref": "seifwael123/obesity-types-xgb-optuna", "kernel_id": "50776682"}, {"ref": "jacobshaheen/ps42-multiclass-prediction-of-obesity-risk", "kernel_id": "50294787"}, {"ref": "shauryabansal05/obesity-multiclass-classification", "kernel_id": "50411949"}, {"ref": "haseebwar07/prediction-of-obesity-risk-gb-90", "kernel_id": "50390498"}, {"ref": "anirudhasutar/multi-class-prediction-for-obesity-risk", "kernel_id": "50956535"}, {"ref": "ziadaymantesla/obesity", "kernel_id": "50913866"}, {"ref": "vibhorejain1/ps4e2-0-91-eda-xgboost", "kernel_id": "50377591"}, {"ref": "aryan210/s4e2-n2", "kernel_id": "50369349"}, {"ref": "mankarandhiman/obesity-risk-comprehensive-eda-and-fe", "kernel_id": "50378247"}, {"ref": "muzammilrizvi1/beginners-easy-obesity-risk-lgsm-tuning", "kernel_id": "50586947"}, {"ref": "mohamedakkadir/90-accuracy-with-voting-classifier", "kernel_id": "50915535"}, {"ref": "harshvardhan21/multi-class-obesity-prediction", "kernel_id": "50767651"}, {"ref": "kaushalsurana/xgboost", "kernel_id": "50937083"}, {"ref": "claudiojnior/eda-xgbclassifier-model-fine-tune", "kernel_id": "50374811"}, {"ref": "o2ka03/multi-class-prediction-of-obesity-risk", "kernel_id": "50750308"}, {"ref": "offwitt0/multi-class-prediction-of-obesity-risk", "kernel_id": "50307636"}, {"ref": "natapelysynka/obesity-multiclass-classification-feature-eng-xgb", "kernel_id": "50324442"}, {"ref": "natapelysynka/obesity-risk-multiclassifier-feature-eng-xgb0-97", "kernel_id": "50359699"}, {"ref": "juanpablolagos/obesity-risk-lgbmclassifier", "kernel_id": "50344250"}, {"ref": "vanshbatra10/easy-solution-ensemble-xgb-lgbm-optuna-91-25", "kernel_id": "50436844"}, {"ref": "yessicatuteja/obesity-risk-deep-neural-network", "kernel_id": "50474818"}, {"ref": "yyazidd/91-076-accuracy-obesity-risk-lgbm", "kernel_id": "50620834"}, {"ref": "utkarshx27/multi-class-prediction-of-obesity-risk", "kernel_id": "50311826"}, {"ref": "iosaman/aman-s-soln5", "kernel_id": "50425928"}, {"ref": "iosaman/obesity-prediction-aman", "kernel_id": "50788587"}, {"ref": "seokhyokang/multi-class-obesity-prediction-w-lgbm-optuna", "kernel_id": "50290647"}, {"ref": "anmol111pal/obesity-risk-prediction-competition", "kernel_id": "50298650"}, {"ref": "manindermaan/multi-class-prediction-of-obesity-risk", "kernel_id": "50402333"}, {"ref": "akashdeepkataria/obesity-risk", "kernel_id": "50400770"}, {"ref": "kartikkumaria/obese-classification-using-pycaret", "kernel_id": "50925801"}, {"ref": "drsandeepmonga/multi-class-obesity-prediction", "kernel_id": "50983634"}, {"ref": "itasps/data-analysis-using-clustering", "kernel_id": "50628433"}, {"ref": "chetanaggarwal01/obesity-or-cvd-risk-classify-regressor-cluster", "kernel_id": "50688272"}, {"ref": "matthewsfarmer/pg-s4e2-micro-lit-review-eda-xgboost", "kernel_id": "50323569"}, {"ref": "nobun123/data-cleaning-transformation-eda-xgboost", "kernel_id": "50499256"}, {"ref": "harshitajakiya/xgb-with-90-60", "kernel_id": "50658288"}, {"ref": "harshitajakiya/multiclassclassification-catboost-with-90-67-acc", "kernel_id": "50357743"}, {"ref": "moazeldsokyx/playgrounds3e02-eda-modeling-lightgbm", "kernel_id": "50443595"}, {"ref": "moazeldsokyx/pgs4e2-highest-score-lgbm-hyperparameter-tuning", "kernel_id": "50487340"}, {"ref": "satvshr/feature-engineering-at-its-peak-xgb-91-69", "kernel_id": "50491499"}, {"ref": "annelimmj/obesity-risk-prediction-xgb-accuracy-0-906", "kernel_id": "50978867"}, {"ref": "idowuadamo/obesity-risk-prediction", "kernel_id": "50740013"}, {"ref": "rishabhdang/multiclassobesity", "kernel_id": "50599589"}, {"ref": "galalqassas/obesity-risk-models-with-great-visuals", "kernel_id": "50689897"}, {"ref": "galalqassas/obesity-risk-with-great-visuals-and-basic-model", "kernel_id": "50635907"}, {"ref": "nilawilson/prediction-using-tensorflow-nn-with-0-88", "kernel_id": "50831759"}, {"ref": "arshjot123/ps-s4e2-xgboost-obestiy-risk", "kernel_id": "50403220"}, {"ref": "gedewasistha/predictive-modeling-for-multiclass-obesity-risk", "kernel_id": "50967694"}, {"ref": "khushibansal15/multiclass-prediction-for-obesity-risk", "kernel_id": "50416700"}, {"ref": "chhavidhankhar11/multi-class-prediction-of-obesity-risk", "kernel_id": "50377106"}, {"ref": "ubaydullohasatullaev/random-forest-classifier-obesity-risk", "kernel_id": "50293237"}, {"ref": "amjadbakri/multi-class-prediction-of-obesity-risk", "kernel_id": "50322917"}, {"ref": "akshaykhanna05/prediction-of-obesity-risk-akshay", "kernel_id": "50725048"}, {"ref": "aparnasingh02/notebook9a38b432ef", "kernel_id": "50533841"}, {"ref": "ojaswanib/obesity-prediction-oj", "kernel_id": "50811514"}, {"ref": "palliplease/obesity-prediction-using-xgboost-90-1-accuracy", "kernel_id": "50567362"}, {"ref": "sturarods/multiclass-prediction-w-random-forest", "kernel_id": "50482918"}, {"ref": "junaidullhassan/obesity-risk-prediction-gradientboosting-xgboost", "kernel_id": "50896201"}, {"ref": "akashpawar10/multi-class-classification", "kernel_id": "50563834"}, {"ref": "yashusinghal/just-baseline-notebook-still-getting-good-score", "kernel_id": "50380249"}, {"ref": "yashusinghal/tunning-with-new-method-hyperopt-91-58", "kernel_id": "50505141"}, {"ref": "hardik201003/multi-class-classification-obesity-risk", "kernel_id": "50831902"}, {"ref": "williamdieterfrank/obesity-risk-simple-xgboost-0-91329", "kernel_id": "50749661"}, {"ref": "suhawni/notebook4864094367", "kernel_id": "50994172"}, {"ref": "goyalharshit03/autogluon-multiclass-prediction", "kernel_id": "50540851"}, {"ref": "goyalharshit03/pgs42-just-few-lines-of-autogluon", "kernel_id": "50541393"}, {"ref": "goyalharshit03/obesity-risk-hg", "kernel_id": "50541642"}, {"ref": "arnavsharma45/91-s4e2-eda-ensembled-lightgbm-catboost-xgb", "kernel_id": "50400838"}, {"ref": "luficergfree/i-m-trying-eda-only-bcoz-i-m-lazy-lazypredict", "kernel_id": "50299924"}, {"ref": "luficergfree/let-s-do-it-finishing-it", "kernel_id": "50394942"}, {"ref": "vishwasmishra1234/obesity", "kernel_id": "50718817"}, {"ref": "pawelkauf/complexities-of-obesity-comprehensive-eda", "kernel_id": "50314609"}, {"ref": "manvendrarajsingh/notebook44f4ff7085", "kernel_id": "50811584"}, {"ref": "werger/cat-model", "kernel_id": "50821140"}, {"ref": "werger/lgbm-model", "kernel_id": "50986241"}, {"ref": "sayem01k/multiclass-prediction-using-lightgbm", "kernel_id": "50515970"}, {"ref": "klunec/version-1-maggie-klune", "kernel_id": "50890860"}, {"ref": "kalpanagarige/obesity-risk-data", "kernel_id": "50564932"}, {"ref": "vinodkumargurjar/multi-class-prediction-of-obesity-risk-vk", "kernel_id": "50491135"}, {"ref": "mohammedabdeldayem/multi-class-prediction-of-obesity-risk-challenge", "kernel_id": "50960501"}, {"ref": "shadechen/eda-lgb-optuna-tunning", "kernel_id": "50539719"}, {"ref": "fatmanurcetnturk/basic-eda-with-the-data-summary-function", "kernel_id": "50861223"}, {"ref": "ramjaslangdi/obesity-risk", "kernel_id": "50465542"}, {"ref": "kashish50/svm-catboost-keras", "kernel_id": "50362104"}, {"ref": "kashish50/stacking-rf-svc-cb-xgb", "kernel_id": "50417904"}, {"ref": "kashish50/obesity50-optuna-90-8", "kernel_id": "50419502"}, {"ref": "farid75/multi-class-prediction-of-obesity-risk-with-xgb", "kernel_id": "50320403"}, {"ref": "muhammadahmadmamoon/prediction-of-obesity-risk-cat-boost-classifier", "kernel_id": "50877570"}, {"ref": "samarjeet09/starter-notebook-eda-comparisons", "kernel_id": "50422162"}, {"ref": "samarjeet09/playground-s4-e2-smote-nn-w-tensorflow", "kernel_id": "50452701"}, {"ref": "rohangulati14/leading-multi-class-prediction-of-obesity-risk", "kernel_id": "50378128"}, {"ref": "rohangulati14/best-solution-of-obesity-risk-91-9", "kernel_id": "50938219"}, {"ref": "divyam6969/beginners-92-accuracy-obesity-lgbm", "kernel_id": "50786577"}, {"ref": "divyam6969/easy-solution-91-accuracy-xgboost-optuna", "kernel_id": "50402322"}, {"ref": "divyam6969/beginners-easy-obesity-risk-lgsm-tuning", "kernel_id": "50544218"}, {"ref": "tarushirastogi/obesityrisk-prediction", "kernel_id": "50972546"}, {"ref": "aldrinlambon/15-insights-on-obesity-risk", "kernel_id": "50290276"}, {"ref": "akshita0560/multi-class-prediction-of-obesity-risk", "kernel_id": "50613425"}, {"ref": "juanjosemuozpanos/obesity-risk-eda-baseline-models", "kernel_id": "50592836"}, {"ref": "juanjosemuozpanos/obesity-risk-random-forest", "kernel_id": "50803236"}, {"ref": "fernandasubekti/88-accuracy-xgboost-obesity-risk", "kernel_id": "50886481"}, {"ref": "abhinavvvvvvvvvv/pycaret-prediction-of-obesity-risk", "kernel_id": "50854893"}, {"ref": "energyshuma/0-90859-simple-lgbm-kfold", "kernel_id": "50943923"}, {"ref": "energyshuma/0-91040-lgbm-parameter-adjustment", "kernel_id": "50945639"}, {"ref": "energyshuma/simple-tensorflow-keras-87", "kernel_id": "50725365"}, {"ref": "energyshuma/91-lgbm-simple-kfold-baseline", "kernel_id": "50500904"}, {"ref": "davidantonioteixeira/obesidade-91-comparing-classifiers", "kernel_id": "50390569"}, {"ref": "chaitanyasood1/obesity", "kernel_id": "50428871"}, {"ref": "akshitaakshita/multiclass-obesity", "kernel_id": "50788133"}, {"ref": "namaymahindru/notebookd83a13d04f", "kernel_id": "50412169"}, {"ref": "abhinandansharma19/multi-class-prediction-of-obesity-risk-eda-0-90", "kernel_id": "50370989"}, {"ref": "noepinefrin/ps4e2-cleanest-notebook-w-automl", "kernel_id": "50337234"}, {"ref": "yashaskirnapure/notebook5f9764ac81", "kernel_id": "50786225"}, {"ref": "somyamathur1014/pg-s4e1-eda-vote-xg-lgbm-catboost", "kernel_id": "50355808"}, {"ref": "laparicio/obesity-risk-multi-class", "kernel_id": "50383611"}, {"ref": "kumudithasilva/multi-class-obesity-risk", "kernel_id": "50315854"}, {"ref": "bharathtoutireddy/exploratory-data-analysis-with-plotly", "kernel_id": "50303024"}, {"ref": "bharathtoutireddy/eda-feature-engineering-voting-classifier", "kernel_id": "50326153"}, {"ref": "bharathtoutireddy/eda-fe-hpo-optuna-xgboost-91-51-accuracy", "kernel_id": "50380491"}, {"ref": "bharathtoutireddy/voting-optuna-91-835-accuracy", "kernel_id": "50492077"}, {"ref": "bharathtoutireddy/classification-through-weighted-ensembling", "kernel_id": "50607083"}, {"ref": "chiragmohangupta/multi-class-prediction-of-obesity-risk", "kernel_id": "50730056"}, {"ref": "bongseok9999/prediction-of-obesity-risk-eda", "kernel_id": "50645534"}, {"ref": "keenarataufiq/multiclass-obesity-risk-lgbm", "kernel_id": "50802329"}, {"ref": "somya2115/obesity-prediction-90-accuracy", "kernel_id": "50732531"}, {"ref": "akashmishra091/lgbm-90-173-easily-understandable", "kernel_id": "50566198"}, {"ref": "erikfolkesson/obesity-prediction-using-optuna-and-ensemble", "kernel_id": "50356865"}, {"ref": "cheesecke/obesity-prediction-with-deep-neural-network", "kernel_id": "50354117"}, {"ref": "shashanks1202/obesity-risk", "kernel_id": "50594420"}, {"ref": "commentsm/obesity-sequential", "kernel_id": "50386783"}, {"ref": "commentsm/obesity-sklearn-multi-class", "kernel_id": "50344645"}, {"ref": "amulyat29/multi-class-prediction-obesity-risk", "kernel_id": "50342520"}, {"ref": "pratyushojha12/nobeyesdad-multiclass-classification", "kernel_id": "50375629"}, {"ref": "kaushikkrsarma/obesity-using-ann", "kernel_id": "50314798"}, {"ref": "tanejanikhil/notebookd06b22b3bf", "kernel_id": "50544313"}, {"ref": "talhabarkaatahmad/ps4e2-obesity-risk-tree-models", "kernel_id": "50772268"}, {"ref": "drishtiagarwal20/multi-class-prediction-of-obesity-risk", "kernel_id": "50973854"}, {"ref": "arryuannkhanna123/easy-solution-xgb-hyper-parameter-tuning", "kernel_id": "50785600"}, {"ref": "khushiagarwal2068/multi-class-prediction-of-obesity-risk-xgboost", "kernel_id": "50418797"}, {"ref": "kkamal2003/multi-class-prediction-of-obesity-risk", "kernel_id": "50320536"}, {"ref": "armanzhalgasbayev/ps-s4-e2-lgbm-experiment", "kernel_id": "50296318"}, {"ref": "kagstick/playground-s4e2", "kernel_id": "50329705"}, {"ref": "raaggeesingh/ps4e2-a-beginners-guide-to-the-competition", "kernel_id": "50444664"}, {"ref": "yazeedalsahouri03/multi-class-prediction-of-obesity-risk", "kernel_id": "50618928"}, {"ref": "namangoyal3246/notebookf12d07980f", "kernel_id": "50871577"}, {"ref": "khedasusnigdha/babys-first-obesity-notebook", "kernel_id": "50455543"}, {"ref": "marianoweimer/multi-class-predictive-analysis-of-obesity-risk", "kernel_id": "50905951"}, {"ref": "codenamemadhav/multi-class-prediction-of-obesity-risk-t2", "kernel_id": "50974946"}, {"ref": "avayaaggarwal27/h2o-auto-ml-for-obesity-dataset", "kernel_id": "50321279"}, {"ref": "simarjitkaur123/obesity-prediction", "kernel_id": "50765912"}, {"ref": "vinee0/multi-class-prediction-of-obesity-risk-playground", "kernel_id": "50644805"}, {"ref": "sandeepbora/ps-s4e2-eda-random-forest", "kernel_id": "50304053"}, {"ref": "salonijaroli/notebooka9b91e8447", "kernel_id": "50789760"}, {"ref": "salonijaroli/soln-obesity-risk-saloni", "kernel_id": "50955198"}, {"ref": "akshatshaw7/simplicity-is-the-key-0-9169", "kernel_id": "50390642"}, {"ref": "mariushinsberger/xgboost-on-obesity-risk", "kernel_id": "50312115"}, {"ref": "ddosad/ps4e2-visual-eda-lgbm-obesity-risk", "kernel_id": "50326556"}, {"ref": "ishaangaba17/pycaret-classification-easy-to-understand", "kernel_id": "50544520"}, {"ref": "linhhhhhhhh/s4e2-eda-kmean-probabilitystastic-0-91", "kernel_id": "50706454"}, {"ref": "gunjan2509/90-accuracy-obesity-risk", "kernel_id": "50981191"}, {"ref": "joaquinemsarg/simple-look-into-eda-t-sne-catboost", "kernel_id": "50333481"}, {"ref": "gamablobyt/obesity-risk-classification", "kernel_id": "50505058"}, {"ref": "pulkittarora/notebook015587368c", "kernel_id": "50855752"}, {"ref": "pulkittarora/obesity-risk-using-randomforestclassifier", "kernel_id": "50779786"}, {"ref": "cheesegue/eda-obesity", "kernel_id": "50291709"}, {"ref": "inomjonov/mironshoh-obesityrisk", "kernel_id": "50735392"}, {"ref": "shivanshgupta67/obesity-risk-prediction-final", "kernel_id": "50690001"}, {"ref": "shivanshgupta67/obesity-risk-prediction", "kernel_id": "50300611"}, {"ref": "saroharutyunyan/notebook26e4328f51", "kernel_id": "50507012"}, {"ref": "victormarzluf/lgbm-optuna-0-917", "kernel_id": "50795640"}, {"ref": "ivanmitriakhin/ps-s4e2-simple-eda-different-models", "kernel_id": "50387597"}, {"ref": "aryangupta30/easy-soluton-91-accuracy-xgboost", "kernel_id": "50446158"}, {"ref": "aryangupta30/obesity-risk-lgbm-hyperparameter-tuning", "kernel_id": "50509777"}, {"ref": "aryangupta30/simple-eda-votingclassifier-with-explanation", "kernel_id": "50867005"}, {"ref": "aryangupta30/obesity-risk-eda-optuna-xgboost-91", "kernel_id": "50866719"}, {"ref": "aryangupta30/basic-91-obesity-risk-using-lgbm-and-xgb", "kernel_id": "50866246"}, {"ref": "mariabistro/mlflow-multiclass-classification-with-lightgbm", "kernel_id": "50356996"}, {"ref": "mariabistro/advanced-visualization-prediction-of-obesity", "kernel_id": "50305102"}, {"ref": "asmahachaichi/prediction-of-obesity-risk", "kernel_id": "50473228"}, {"ref": "asmahachaichi/xgboost-obesity-prediction", "kernel_id": "50831706"}, {"ref": "ogulcancck/obesity-risk-pred-eda-feature-eng-model", "kernel_id": "50821052"}, {"ref": "gulnihall/eda-lgbm-xgb-hyperparameter-tunning-ensemble", "kernel_id": "50507062"}, {"ref": "gulnihall/eda-lgbm-xgb-catboost-optuna-stacking-c", "kernel_id": "50947576"}, {"ref": "mikhailnaumov/obesity-risk-lgb-xgb-cat-ensemble", "kernel_id": "50937329"}, {"ref": "madesh6554/multi-class-prediction-of-obesity-risk-submission", "kernel_id": "50396397"}, {"ref": "neelakshigupta/obesity", "kernel_id": "50702662"}, {"ref": "sahilfatima/obesity-risk", "kernel_id": "50315639"}, {"ref": "chiragsanadhya/obesity-risk-using-deep-learning", "kernel_id": "50710171"}, {"ref": "chiragsanadhya/obesityrisk", "kernel_id": "50312203"}, {"ref": "praneykalra/obesity-new-with-optuna", "kernel_id": "50688537"}, {"ref": "praneykalra/obesity", "kernel_id": "50354180"}, {"ref": "mrsimple07/91-5-with-xgbclassifier-optuna", "kernel_id": "50600650"}, {"ref": "ikjotsingh221/obesityt1", "kernel_id": "50901603"}, {"ref": "ikjotsingh221/obesityt2", "kernel_id": "50650295"}, {"ref": "japleenkaurbedi/obesity-102103204", "kernel_id": "50660859"}, {"ref": "jkaur28/multi-class-prediction-of-obesity-risk", "kernel_id": "50857137"}, {"ref": "harbandanakaur/multi-class-prediction-of-obesity-risk", "kernel_id": "50545946"}, {"ref": "imtommi/simple-eda-xgboost", "kernel_id": "50400291"}, {"ref": "yatharthgautam123789/xgboost-and-catboost-obesity-risk", "kernel_id": "50995173"}, {"ref": "akankshasolanki123/multiclass-prediction-of-obesity-risk", "kernel_id": "50826716"}, {"ref": "samarrathore402/obesity-perediction-metric", "kernel_id": "50806654"}, {"ref": "raghav723/notebooke1b747a950", "kernel_id": "50474498"}, {"ref": "prabhdeep123/obesity-risk-prediction", "kernel_id": "50856199"}, {"ref": "jatinthakur706/prediction-of-obesity-risk-using-xgboost", "kernel_id": "50456838"}, {"ref": "shiivvvaam/obesity-risk", "kernel_id": "50420318"}, {"ref": "pinarismiguzel/obesity-risk-eda-catboost", "kernel_id": "50968952"}, {"ref": "def0017/obesity-risk", "kernel_id": "50407617"}, {"ref": "palak98039/multi-class-prediction-of-obesity-risk", "kernel_id": "50945428"}, {"ref": "kushagrekaushik/multi-class-prediction-of-obesity-risk", "kernel_id": "50971584"}, {"ref": "iyasha/multi-class-prediction-of-obesity-risk", "kernel_id": "50475408"}, {"ref": "raghavdargan/multi-class-prediction-of-obesity-risk", "kernel_id": "50727525"}, {"ref": "ankit1743/obesity-risk-gradient-boosting", "kernel_id": "50471184"}, {"ref": "kunal025/multi-class-prediction-of-obesity-risk", "kernel_id": "50463733"}, {"ref": "akshit2605/notebookb176190f70", "kernel_id": "50787561"}, {"ref": "mclegend/obese-classification-using-xgbclassifier", "kernel_id": "50938353"}, {"ref": "shresthapundir/multi-class-obesity-risk-prediction", "kernel_id": "50750968"}, {"ref": "akulvaishnavi/obesity-cvd-risk-analysis", "kernel_id": "50693987"}, {"ref": "hassaneskikri/obesity-risk-season-4-episode", "kernel_id": "50416921"}, {"ref": "iamdal/multi-class-prediction-of-obesity-risk", "kernel_id": "50359420"}, {"ref": "saliharanauzun/multiclass-prediction-of-obesity-risk", "kernel_id": "50734606"}, {"ref": "jasleen234/notebookb558f66ab6", "kernel_id": "50686537"}, {"ref": "joyygoswami/multi-class-prediction-of-obesity-risk", "kernel_id": "50767196"}, {"ref": "piyush1234ggfuvi/prediction-of-obesity-risk", "kernel_id": "50374285"}, {"ref": "qdebffg/soln-obesity-risk-shadow", "kernel_id": "50534123"}, {"ref": "hardik2003/soln-obesity-risk-hardik-sharma", "kernel_id": "50533580"}, {"ref": "ujjvalvashisht/multi-class-prediction-of-obesity-risk", "kernel_id": "50464617"}, {"ref": "shivamvermathapar/obesity-risk-beginners-guide", "kernel_id": "50734459"}, {"ref": "vatsalll/vatsal-arora", "kernel_id": "50471876"}, {"ref": "eastonlarson/kaggle-project-8-easton-larson", "kernel_id": "50607623"}, {"ref": "jasmeet0516/obesity-risk-using-xgboost", "kernel_id": "50456742"}, {"ref": "pritishpriyam4/simple-91-obesity-prediction-xgbm", "kernel_id": "50404628"}, {"ref": "ehsaasdhand/notebook88d4bcb86f", "kernel_id": "50778899"}, {"ref": "ehsaasdhand/obesity-predication", "kernel_id": "50777743"}, {"ref": "shwetakk/notebooke325351c91", "kernel_id": "50473233"}, {"ref": "ashish32700/multi-class-prediction-of-obesity-risk", "kernel_id": "50475253"}, {"ref": "alextech123/voting-model-91", "kernel_id": "50769888"}, {"ref": "yuvrajsinghspd09/s4e2-91-simple-eda-modeling-xgb-optuna", "kernel_id": "50892652"}, {"ref": "esakaty/pgs42-autogluon-regression", "kernel_id": "50321735"}, {"ref": "krishnanshu1/notebookb61c263a1b", "kernel_id": "50312757"}, {"ref": "johntoniutti/obesity-risk-competition", "kernel_id": "50698120"}, {"ref": "ragul1010101/multiclass-prediction-of-obseity", "kernel_id": "50771676"}, {"ref": "dghosh05/lightbgm-xgboost-catboost", "kernel_id": "50685628"}, {"ref": "dghosh05/xgboost-solution-0-91-score", "kernel_id": "50410455"}, {"ref": "jindal05/multi-class-prediction-of-obesity-risk", "kernel_id": "50783078"}, {"ref": "garvitmadaan/multi-class-prediction-of-obesity-risk", "kernel_id": "50783837"}, {"ref": "codyjanderson/obesity-predictions", "kernel_id": "50519338"}, {"ref": "ashmeet02/notebook3fa06219ec", "kernel_id": "50422022"}, {"ref": "sachinsushilsingh/obesity-risk-prediction-most-basic-notebook", "kernel_id": "50468516"}, {"ref": "sachinsushilsingh/notebookc034b05ec8", "kernel_id": "50468526"}, {"ref": "nitishjolly/multi-class-prediction-of-obesity-risk", "kernel_id": "50509600"}, {"ref": "ashwinibandal/practise-session", "kernel_id": "50449489"}, {"ref": "mayankgupta9/notebook6e9b2c8dfe", "kernel_id": "50474693"}, {"ref": "kanishhkaa/obesity-risk", "kernel_id": "50939370"}, {"ref": "chetalipushkarna/xgbclassifier-score-0-91", "kernel_id": "50302641"}, {"ref": "vanshsethi0198/soln-obesity-risk-vansh", "kernel_id": "50533539"}, {"ref": "ohiraaaaaa/notebooke4915ae236", "kernel_id": "50934531"}, {"ref": "ziyadj/eda-lightgbm-90-accuracy", "kernel_id": "50824570"}, {"ref": "rangalamahesh/prediction-of-obesity-risk-multi-class", "kernel_id": "50460253"}, {"ref": "rangalamahesh/obesity-risk-lgbm-eda", "kernel_id": "50661663"}, {"ref": "taichiuemura/rare-category-not-appearing-in-training-data", "kernel_id": "50305821"}, {"ref": "taichiuemura/ps4e2-fe-linear-model", "kernel_id": "50368441"}, {"ref": "taichiuemura/ps4e2-classification", "kernel_id": "50301013"}, {"ref": "taichiuemura/ps4e2-regression", "kernel_id": "50293902"}, {"ref": "taichiuemura/ps4e2-first-look", "kernel_id": "50290718"}, {"ref": "pluspin/ps-s4-e02-baseline-catboost", "kernel_id": "50292308"}, {"ref": "szymnq/multi-class-prediction-of-obesity-risk-ensemble", "kernel_id": "50640273"}, {"ref": "lashfire/insightfull-noise-feature-exploration", "kernel_id": "50714304"}, {"ref": "zeyadsayedadbullah/s4e02-optuna-xgboost", "kernel_id": "50695686"}, {"ref": "zeyadsayedadbullah/s4e02-obesity-risk-pred-catboost-0-905", "kernel_id": "50557203"}, {"ref": "lyastanriverd/obesity-risk", "kernel_id": "50773516"}, {"ref": "madao13/multiclasspredictionofobesityrisk-lightgbm", "kernel_id": "50537319"}, {"ref": "mfmfmf3/clean-code-optuna-lgbm-obesity-risk", "kernel_id": "50829986"}, {"ref": "mfmfmf3/ensemble-multi-class-obesity-risk", "kernel_id": "50402204"}, {"ref": "santapiyaphon/multi-class-prediction-of-obesity-risk", "kernel_id": "50823028"}, {"ref": "fanhuaiyuan/2024-2-12", "kernel_id": "50799262"}, {"ref": "najeebz/obesity-risk-study-eda-auto-visualization-tools", "kernel_id": "50572453"}, {"ref": "najeebz/multi-class-prediction-obesity-risk-xgboost-0-9", "kernel_id": "50960852"}, {"ref": "shahezky/feature-eng-xgbolgbm-cv0-91", "kernel_id": "50376329"}, {"ref": "andrewbremner/weightrisk-s4e2-sklearn-models-vs-pytorch", "kernel_id": "50910245"}, {"ref": "umairabbasi6/20-simple-steps-fe-to-model-pred", "kernel_id": "50534665"}, {"ref": "khushikhushikhushi/multi-class-prediction-of-obesity-risk-catboost", "kernel_id": "50633089"}, {"ref": "khushikhushikhushi/obesity-risk-prediction", "kernel_id": "50322434"}, {"ref": "youken2739/season4-episode2-2", "kernel_id": "50760810"}, {"ref": "youken2739/lightgbm-hyperparameter-tuning-by-optuna", "kernel_id": "50841357"}, {"ref": "youken2739/season4-episode2-1-japanese", "kernel_id": "50510638"}, {"ref": "youken2739/season4-episode2-eda", "kernel_id": "50551521"}, {"ref": "aayushsharmacse/sklearn-ml-magic", "kernel_id": "50514673"}, {"ref": "agarwalyashhh/obesity-ann-eda-keras", "kernel_id": "50572747"}, {"ref": "cuneytharp83/pycaret-analyser-file", "kernel_id": "50501504"}, {"ref": "sehajbirsinghbains/obesity-prediction", "kernel_id": "50854951"}, {"ref": "shylobohdan/multi-class-prediction-of-obesity-risk", "kernel_id": "50307456"}, {"ref": "sunilkumaradapa/automatic-machine-learning-with-h2o-multi-class-pr", "kernel_id": "50627135"}, {"ref": "jovitamembis/jovita-predictive-analysis", "kernel_id": "50697194"}, {"ref": "muhumuzadeusai/multi-class-prediction-of-obesity-nb", "kernel_id": "50518365"}, {"ref": "ahmetkoseoglu/ps4e2-multi-class-prediction-of-obesity-risk", "kernel_id": "50424609"}, {"ref": "mikolajkloczewski/ps4e2-xgb-optuna-91-4-short-simple", "kernel_id": "50426856"}, {"ref": "aryandogra/multi-class-prediction-of-obesity-risk-aryandogra", "kernel_id": "50855084"}, {"ref": "bigadam/obesity-risk", "kernel_id": "50476086"}, {"ref": "devbansal2140/multi-class-prediction-using-random-forest", "kernel_id": "50784646"}, {"ref": "ttskkb/ps4e2-a-beginners-notebook-submit", "kernel_id": "50743126"}, {"ref": "ttskkb/ps4e2-a-beginners-notebook", "kernel_id": "50461228"}, {"ref": "muhammadfurqan0/ps4e2-obesity-risk-gb-0-90", "kernel_id": "50757277"}, {"ref": "priyalsingla/multiclass-prediction-of-obesityrisk", "kernel_id": "50593196"}, {"ref": "samithanawarathna/obesity-risk-data-preprocessing-and-modeling", "kernel_id": "50413273"}, {"ref": "ustcer1984/obesity-eda-cluster-playground-s4e2", "kernel_id": "50982388"}, {"ref": "yogeshratheea/notebookfcd8114bf1", "kernel_id": "50468199"}, {"ref": "lucasascarvalho/obesity-risk-voting-classifiers-and-massive-eda", "kernel_id": "50719462"}, {"ref": "josephmargaryan/89-voting-classifier", "kernel_id": "50483432"}, {"ref": "sumitkumarsingh22002/multi-class-prediction-of-obesity-risk", "kernel_id": "50766585"}, {"ref": "udaysharma007/obesity-risk", "kernel_id": "50726914"}, {"ref": "yteshima/multi-class-prediction-of-obesity-risk", "kernel_id": "50548886"}, {"ref": "lanceearldaxar/obesity-risk-first-attempt", "kernel_id": "50778272"}, {"ref": "saimondahal/pg-s4e1-eda-vote-xg-lgbm-catboost", "kernel_id": "50296660"}, {"ref": "sergeydeev/multi-class-with-tfdf", "kernel_id": "50317680"}, {"ref": "yorkyong/obesity-risk-eda", "kernel_id": "50348486"}, {"ref": "yorkyong/obesity-risk-feature-engineering-ensemble", "kernel_id": "50360935"}, {"ref": "yorkyong/obesity-risk-xgb-rf-cb-ensemble", "kernel_id": "50294675"}, {"ref": "ibragimovuzoqmurod/multi-class-randomforest-100-best-score-89-9", "kernel_id": "50630009"}, {"ref": "ridhii19/problem-3", "kernel_id": "50375603"}, {"ref": "jayantdon/easy-solution-ensemble-xgb-lgbm-optuna-91-25", "kernel_id": "50475289"}, {"ref": "harrybeasley/harry-beasley", "kernel_id": "50915378"}, {"ref": "avinashtokada25/multi-class-obesity-risk-prediction", "kernel_id": "50584562"}, {"ref": "suvirsingh/obesityriskpredictor", "kernel_id": "50828056"}, {"ref": "mohamedkhaledsadik/multi-class-prediction-of-obesity-risk-89", "kernel_id": "50477333"}, {"ref": "samsonoo/obesity-prediction-91", "kernel_id": "50567644"}, {"ref": "renhuang8/multi-class-prediction-of-obesity-risk-autogluon", "kernel_id": "50394440"}, {"ref": "renhuang8/multi-class-prediction-of-obesity-risk-mlp", "kernel_id": "50292893"}, {"ref": "jennietmt/thi-minh-hoa-tran", "kernel_id": "50888811"}, {"ref": "hirokisaitoreason/multi-class-prediction-of-obesity-risk-eda", "kernel_id": "50591505"}, {"ref": "hirokisaitoreason/obesity-risk-randomforest", "kernel_id": "50608745"}, {"ref": "maehashitatsuya/one-hour-practice", "kernel_id": "50892388"}, {"ref": "mirfayzirgashevdku/playground-series-obesity-risk-s4-e2-90-acc", "kernel_id": "50534448"}, {"ref": "hemanthhvv/obesity-playground", "kernel_id": "50787362"}, {"ref": "jayyanamandala/neural-nets-predictions-for-obesity-risk", "kernel_id": "50756700"}, {"ref": "jayyanamandala/keras-tuner-hyperparameters-search-obesiry-risk", "kernel_id": "50931426"}, {"ref": "jayyanamandala/neural-nets-multiclass-for-obesity-risk-stck", "kernel_id": "50838038"}, {"ref": "rainwashed/obesity-s4e2-notebook-r2", "kernel_id": "50429770"}, {"ref": "sanjugag/obesity-risk", "kernel_id": "50308480"}, {"ref": "hieundai/feature-engineering-xgboost-optuna", "kernel_id": "50310639"}, {"ref": "gourabr0y555/random-forest-plots", "kernel_id": "50350165"}, {"ref": "siddharthdash123/obesity-prediction-using-xgboost", "kernel_id": "50544692"}, {"ref": "adrianasalcedo/xgb-cat-nn", "kernel_id": "50708813"}, {"ref": "adityakbhatia/academic-success-prediction", "kernel_id": "50682027"}, {"ref": "himaanishaggarwal/prediction-of-obesity-risk", "kernel_id": "50501417"}, {"ref": "chinmayeegoyal/multiclass-obesity-risk", "kernel_id": "50811376"}, {"ref": "rijuljain2003/soln-obesity-risk-rijul-jain", "kernel_id": "50513363"}, {"ref": "aashimbansal/obesity-risk-aashim", "kernel_id": "50786907"}, {"ref": "rajneesh231/multiclassifier-solution-catboost", "kernel_id": "50460919"}, {"ref": "bhavyabhalla2701/multi-class-prediction-of-obesity-risk-bhavya", "kernel_id": "50503367"}, {"ref": "valeriiabiruk/k-fold-training-and-ensemble", "kernel_id": "50599342"}, {"ref": "eakanshagarwal24/multi-class-predict-obesity", "kernel_id": "50515590"}, {"ref": "hrshpreet/notebook", "kernel_id": "50543648"}, {"ref": "samarjeetsinghgandhi/91-obesity-risk-using-catboost-and-optuna", "kernel_id": "50804522"}, {"ref": "samarjeetsinghgandhi/xgboost-in-obesity-risk-0-907-accuracy", "kernel_id": "50647262"}, {"ref": "samarjeetsinghgandhi/beginner-easy-obesity-risk-full-explained", "kernel_id": "50847323"}, {"ref": "samarjeetsinghgandhi/easy-90-xgboost-and-catboost-obesity-risk", "kernel_id": "50936772"}, {"ref": "samarjeetsinghgandhi/easy-initial-submission-logistic-regression", "kernel_id": "50984477"}, {"ref": "grandmastershaurya/multiclass-obesity-risk-prediction", "kernel_id": "50499503"}, {"ref": "jameslindseyjones/obesityrisk-xgboost", "kernel_id": "50646264"}, {"ref": "arushibashambu/multiclass-obesity-risk", "kernel_id": "50737629"}, {"ref": "namishjindal4/multi-class-prediction-of-obesity-risk-notebook", "kernel_id": "50706555"}, {"ref": "nishthakumari20/multi-class-prediction-of-obesity-risk", "kernel_id": "50518337"}, {"ref": "sirishasingla1906/obesity-risk-multi-class", "kernel_id": "50608873"}, {"ref": "harshitstark/multi-class-prediction-of-obesity-risk", "kernel_id": "50555589"}, {"ref": "priyanshu54200/obesity-risk-ps-ml", "kernel_id": "50725717"}, {"ref": "tarndeepsingh16/multi-class-prediction-of-obesity-risk", "kernel_id": "50611830"}, {"ref": "paramvir705/obesity-risk-prediction", "kernel_id": "50551573"}, {"ref": "nguyenbnguyen/obesity-risk-prediction-with-sklearn", "kernel_id": "50369123"}, {"ref": "nguyenbnguyen/obesity-risk-prediction-with-tensorflow", "kernel_id": "50639673"}, {"ref": "leixin1111/obesity-classification-accuracy87", "kernel_id": "50603161"}, {"ref": "thaparrishav/obesityrisk-xgboost-inverse-transform", "kernel_id": "50398684"}, {"ref": "ananyagupta184/notebook333a5b9c14", "kernel_id": "50421853"}, {"ref": "sakshigoyal001/obesityrisk", "kernel_id": "50785503"}, {"ref": "nrng19/notebook7876a9278d", "kernel_id": "50407427"}, {"ref": "aarushijuneja07/solution-obesity-risk", "kernel_id": "50317819"}, {"ref": "kaurneetlove/multiclass-obesity-risk", "kernel_id": "50456774"}, {"ref": "aarushikamboj/sol-3", "kernel_id": "50424692"}, {"ref": "chaitanya2605/notebook5d0c542ce7", "kernel_id": "50473980"}, {"ref": "saanvi004/obesity-risk", "kernel_id": "50372284"}, {"ref": "raykdoyle/obesity-risk-kaggle-8", "kernel_id": "50574382"}, {"ref": "devanshagarwal9/prediction-of-obesity", "kernel_id": "50826427"}, {"ref": "adityagoel2205/multiclass-prediction-obesity-lgbm", "kernel_id": "50498582"}, {"ref": "dubeyarpit/obesityrisk", "kernel_id": "50822424"}, {"ref": "ridanshkaul/competitionnotebookforobesity", "kernel_id": "50433425"}, {"ref": "ridanshkaul/obesitynotebook2", "kernel_id": "50574922"}, {"ref": "ridanshkaul/obesitycompetition", "kernel_id": "50869586"}, {"ref": "ridanshkaul/notebookc9388e8649", "kernel_id": "50999962"}, {"ref": "bhavikasaini/multi-class-obesity-risk-prediction-lgb-xgboost", "kernel_id": "50417366"}, {"ref": "parthvashish/notebook2715eca3f9", "kernel_id": "50787871"}, {"ref": "sankalp102/obesity-risk-eda-bl", "kernel_id": "50449292"}, {"ref": "saranshthegoat/smj-s-obesity-risk-prediction", "kernel_id": "50475265"}, {"ref": "naniramdhimal/obesity-multiclass-prediction", "kernel_id": "50557832"}, {"ref": "prikshitbhagat1/obesity-prediction", "kernel_id": "50819774"}, {"ref": "akshg203/multi-class-prediction-of-obesity-risk", "kernel_id": "50551530"}, {"ref": "bhavya4400/soln-obesity-risk-bhavya-rampal", "kernel_id": "50770091"}, {"ref": "abhinav2211/obesity-risk", "kernel_id": "50687185"}, {"ref": "ethanabimelech/obesity-risk-eda-xgboost", "kernel_id": "50718343"}, {"ref": "jsonali2003/multi-class-prediction-of-obesity-risk", "kernel_id": "50975124"}, {"ref": "ddxclbri/pgs4e2-tabnet-with-pytorch", "kernel_id": "50351773"}, {"ref": "ashiksrinivas32/eda-xgboost", "kernel_id": "50300646"}, {"ref": "karamel03/code-with-explanations-for-beginners", "kernel_id": "50638853"}, {"ref": "samikohvakka/improving-simple-benchmark-with-regression", "kernel_id": "50700972"}, {"ref": "samikohvakka/using-domain-knowledge-to-obtain-a-simple-benchmar", "kernel_id": "50694779"}, {"ref": "razvandinga/obesity-prediction", "kernel_id": "50644828"}, {"ref": "andrianaamankwah/andriana-amankwah-bonsu", "kernel_id": "50928181"}, {"ref": "fancifulcrow/ps-s04e02-ann", "kernel_id": "50958707"}, {"ref": "realpaulmahler/comparison-of-xgboost-categorical-params", "kernel_id": "51045418"}, {"ref": "mukund14/obesity-prediction-multi-class-kaggle-competitn", "kernel_id": "51130504"}, {"ref": "amyjieliu/multi-class-pred-of-obesity-risk-rf-xgboost", "kernel_id": "51555875"}, {"ref": "natasha23/multi-classification-obesity-risk-python", "kernel_id": "51122676"}, {"ref": "onurrr90/probing-the-public-lb-in-obesity-risk-s4-e2", "kernel_id": "51178905"}, {"ref": "vassyesboy/deep-neural-network-optuna-tuning", "kernel_id": "51061694"}, {"ref": "aspillai/obesity-risk-lgb-xgb-cat-92", "kernel_id": "51102783"}, {"ref": "vishalbakshi/post-competition-hyperparameter-sweep", "kernel_id": "51671885"}, {"ref": "baharnz/analyzing-lifestyle-and-dietary-factors", "kernel_id": "51766589"}, {"ref": "j2hoon85/baseline-scikit-learn-pipeline-sample-code", "kernel_id": "51260611"}, {"ref": "altruistdelhite04/predicting-the-spectrum-of-obesity", "kernel_id": "51254041"}, {"ref": "vijaypatha/vp-multi-class-prediction-of-obesity-risk", "kernel_id": "51624828"}, {"ref": "vijaypatha/obesity-risk-prediction", "kernel_id": "51874281"}, {"ref": "pperna/xgboost-gpu-optuna-with-pruning", "kernel_id": "51121500"}, {"ref": "veirding/s4e02-multi-class-prediction-of-obesity-risk", "kernel_id": "51100763"}, {"ref": "ekowbaah/ekow-test", "kernel_id": "51086920"}, {"ref": "ekowbaah/fork-of-ekow-test", "kernel_id": "51088814"}, {"ref": "tanmay111999/ps4e2-6-ensemble-models-eda-feature-engineering", "kernel_id": "51818195"}, {"ref": "nicowxd/ps4e2-top-25-simple-ensemble-private-0-91067", "kernel_id": "51085750"}, {"ref": "brysonje/s2e4-lightboost-0-91257", "kernel_id": "51231803"}, {"ref": "brysonje/s2e4-lightboost-0-91148", "kernel_id": "51223255"}, {"ref": "aayushsin7a/ml-obesity-or-cvd-risk", "kernel_id": "51642169"}, {"ref": "amandakube/data119-multi-class-prediction-of-obesity-risk", "kernel_id": "51648295"}, {"ref": "samlakhmani/obesity-rand-seed-is-superfood", "kernel_id": "51083954"}, {"ref": "samlakhmani/91-9-baseline-lgbm-optuna-discussion", "kernel_id": "51119214"}, {"ref": "samlakhmani/91-3-ordinal-classification-xgbregressor", "kernel_id": "51023378"}, {"ref": "samlakhmani/85-8-baseline-knn", "kernel_id": "51021705"}, {"ref": "samlakhmani/91-9-seed-seed-seed", "kernel_id": "51038629"}, {"ref": "samlakhmani/rank-19-91-076-oof-strategy", "kernel_id": "51573709"}, {"ref": "samlakhmani/xx-oof-strategy-lgbm", "kernel_id": "51425433"}, {"ref": "samlakhmani/xgb-xx-oof-strategy", "kernel_id": "51499300"}, {"ref": "transhumanistx/exploring-tabnet-multiclass-obesity-prediction", "kernel_id": "51528001"}, {"ref": "thejas2002/eda-mcpor", "kernel_id": "51026212"}, {"ref": "hittmg/240217-multi-class-prediction-of-obesity-risk", "kernel_id": "51015819"}, {"ref": "alexisvannaire/multi-class-prediction-of-obesity-risk", "kernel_id": "51657063"}, {"ref": "jinyoungheo/obesity-level-up", "kernel_id": "51403373"}, {"ref": "vijayalakshmibhagat/multi-class-prediction-of-obesity-risk", "kernel_id": "51794943"}, {"ref": "shwetalishimangaud/multi-class-prediction-of-obesity-risk", "kernel_id": "51080221"}, {"ref": "sunseahappy/playground-202402-1", "kernel_id": "51154189"}, {"ref": "emxheena/obesity-risk-multiclass-xgb-classifier", "kernel_id": "51239059"}, {"ref": "nivedithavudayagiri/obesity-risk-eda-baseline-results", "kernel_id": "51562497"}, {"ref": "sujanadesam/notebookdfc287bcb2", "kernel_id": "51180972"}, {"ref": "syedjaffri/notebook9646d76b2c", "kernel_id": "51764027"}, {"ref": "syedjaffri/multi-class-prediction-of-obesity-risk", "kernel_id": "51405284"}, {"ref": "manuelandersen/91-15-cv-pgs4e2-voting-experiments", "kernel_id": "51473475"}, {"ref": "mehranzeidi/obesity-risk", "kernel_id": "51277651"}, {"ref": "esaihuamanmeza/predicci-n-de-riesgo-de-obesidad-con-randomforest", "kernel_id": "51293454"}, {"ref": "ayushpandey098/obesitybasicclassify-score-0-9115", "kernel_id": "51025303"}, {"ref": "kambingbersayaphitam/kbh-eda-cluster", "kernel_id": "51065475"}, {"ref": "kaungmyatkyaw/random-forest-optuna-private-lb-0-88665", "kernel_id": "51709888"}, {"ref": "shashwatpatel/multi-class", "kernel_id": "51450771"}, {"ref": "yogeshbarai/obesity-rfc", "kernel_id": "51252498"}, {"ref": "mohamedabder/02-modelisation", "kernel_id": "51410563"}, {"ref": "mohamedabder/03-soumission-model", "kernel_id": "51410664"}, {"ref": "mohamedabder/01-eda-obesity", "kernel_id": "51410284"}, {"ref": "batosoft/prediction-of-obesity-using-ensemble-learning", "kernel_id": "51241109"}, {"ref": "shirinymn/86-private-score-obisity-pred", "kernel_id": "51888611"}, {"ref": "rudragujarathi/comp-prediction-of-obesity-risk", "kernel_id": "51153220"}, {"ref": "birlinha/simple-obesity-risk", "kernel_id": "51793253"}, {"ref": "ikramur/obesity-risk-prediction", "kernel_id": "51558814"}, {"ref": "thomasmeiner/ps4e2-eda-feature-engineering-model-v0-93", "kernel_id": "51537971"}, {"ref": "kaushalkrishna2000/playground-s4e2-obesity-multiclass-normal-wora", "kernel_id": "51558153"}, {"ref": "kaushalkrishna2000/playground-s4e2-obesity-multiclass-tensorflow-wora", "kernel_id": "51965128"}, {"ref": "chinmayadatt/obesity-risk-prediction-multi-class-0-92160", "kernel_id": "51095164"}, {"ref": "pogicat/obesity-rate-xgbclassifier-bayessearchcv", "kernel_id": "51780354"}, {"ref": "mohammadahmar/obesity-class-predictions", "kernel_id": "51620058"}, {"ref": "aadarshvelu/obesity-prediction", "kernel_id": "51018878"}, {"ref": "nitinshelke123/obesity-prediction", "kernel_id": "51105803"}, {"ref": "bennyfung/multi-class-obesity-flaml", "kernel_id": "51473517"}, {"ref": "soranoki/obesity-risk-lgb-xgb-cat-92", "kernel_id": "51546451"}, {"ref": "moyamoya/ps4e2-xgb-regressor-vs-classifier", "kernel_id": "51056932"}, {"ref": "yamurgle/obesityriskneuralnetworkpytorch", "kernel_id": "51943036"}, {"ref": "supaseksamurai88/james-obesity-prediction-notebook", "kernel_id": "51625464"}, {"ref": "adamsuttonclt/obesityrisk1", "kernel_id": "51728247"}, {"ref": "karamalhanatleh/prediction-of-obesity-risk-98", "kernel_id": "51020306"}, {"ref": "luigibungarodbx/multi-class-prediction-of-obesity-risk-sequential", "kernel_id": "51462160"}, {"ref": "act18l/pgs42-using-automl-evalml-baseline", "kernel_id": "51143395"}, {"ref": "kuldeeprathoree/0-92196-multi-class-obesity", "kernel_id": "51403476"}, {"ref": "jayrdixit/obesity-competition", "kernel_id": "51745268"}, {"ref": "bonecar/prediction-of-obesity-risk-eda-to-prediction", "kernel_id": "51068914"}, {"ref": "joramirungu/obesity-risk-prediction-using-r", "kernel_id": "51104353"}, {"ref": "vitanhon/multi-class-prediction-of-obesity", "kernel_id": "51516920"}, {"ref": "vladislavsultanov/sultanov-multi-classifier-with-body-mass-index", "kernel_id": "51564624"}, {"ref": "adrienriaux/automl-with-pycaret", "kernel_id": "51085241"}, {"ref": "adrienriaux/blender-neural-networks-with-tensorflow", "kernel_id": "51465046"}, {"ref": "sourenakhanzadeh/obesity-90-randomforest", "kernel_id": "51656636"}, {"ref": "varunraskar/baseline-lgbm-model-91-40", "kernel_id": "51467201"}, {"ref": "amansingh2130/obesity-catboost", "kernel_id": "51741433"}, {"ref": "akshaysalunke2111/solution-with-cat-boost-classifier", "kernel_id": "51078395"}, {"ref": "ddolddi/eda-with-plotly-ml-obesity-risk", "kernel_id": "51397186"}, {"ref": "swish9/feb-kaggle-challenge", "kernel_id": "51423890"}, {"ref": "royayon/multiclass-classification", "kernel_id": "51071577"}, {"ref": "lixfzz/hypergbm-multiclass-pred-of-obesity-risk", "kernel_id": "51757296"}, {"ref": "metehanpolat1705/obesity-risk", "kernel_id": "51170515"}, {"ref": "sunny7712/s4e2-catboost", "kernel_id": "51183298"}, {"ref": "sunny7712/s4e2-ensemble", "kernel_id": "51525936"}, {"ref": "uzairshafique/feature-engineer-lightgbm-optuna", "kernel_id": "51233472"}, {"ref": "mohammedinfas/obesity-softmax", "kernel_id": "51505439"}, {"ref": "ndohmoise/multi-class-prediction-of-obesity-xgboost", "kernel_id": "51792327"}, {"ref": "ndohmoise/prediction-of-obesity-risk-knn", "kernel_id": "51795140"}, {"ref": "ndohmoise/prediction-of-obesity-risk-decisiontreeclassifier", "kernel_id": "51802445"}, {"ref": "ahmedaboghaly/accuracy-91", "kernel_id": "51766047"}, {"ref": "ashishkumarak/obesity-risk-prediction-eda-feature-engineering", "kernel_id": "51477997"}, {"ref": "kellyhe1994/cnn-boosting", "kernel_id": "51520252"}, {"ref": "hallojong0319/privatescore-91-03-xgboost-single-model", "kernel_id": "51295461"}, {"ref": "jimdor/playground-s4e2", "kernel_id": "51228481"}, {"ref": "yashasgarg/obesity-prediction", "kernel_id": "51435827"}, {"ref": "lvdj94/xgboost-91-2-catboost90", "kernel_id": "51073529"}, {"ref": "manmeetkaursidhu/multi-class-prediction-of-obesity-risk", "kernel_id": "51080974"}, {"ref": "devavratpatil/multi-class-obesity-risk-eda-xgb-lgbm", "kernel_id": "51728572"}, {"ref": "kapoorprakhar/multi-class-prediction-of-obesity-risk-2", "kernel_id": "51012911"}, {"ref": "prudhvi143413s/obesity-risk-prediction-using-deep-neural-networks", "kernel_id": "51253915"}, {"ref": "tonychirilus/eda-with-tensorflow-and-simple-lgbm", "kernel_id": "51079253"}, {"ref": "naveenkumars20isr031/obesityprediction-using-rando-forest", "kernel_id": "51170496"}, {"ref": "ujaljohnson/mcpor", "kernel_id": "51765663"}, {"ref": "subhendudharua/obesity-risk-prediction", "kernel_id": "51151290"}, {"ref": "stevenayare/obesity", "kernel_id": "51266096"}, {"ref": "arinasinghai/obesity-prediction", "kernel_id": "51640240"}, {"ref": "monicabackes/multi-class-obesity-eda-and-mlp-classification", "kernel_id": "51720010"}, {"ref": "youssefghaoui/gnrl-pred-93-obesity-97-overweight-89-90", "kernel_id": "51069394"}, {"ref": "manishpatil009/obesity-risk-competition", "kernel_id": "51516509"}, {"ref": "cnezhmar/eda-multiclass-prediction-obesity-risk", "kernel_id": "51569121"}, {"ref": "subhamsarkar2002/prediction-of-obesity-risk", "kernel_id": "51758265"}, {"ref": "nazimcherpanov/obesity-risk-prediction-for-beginners", "kernel_id": "51276460"}, {"ref": "fabrciomacena/s4e2-obesity-risk-eda-lightgbm-optuna", "kernel_id": "51186153"}, {"ref": "alhsan/obesity-risk-prediction-accuracy-0-91", "kernel_id": "51081118"}, {"ref": "mirkuriit/auto-ml-h2o-tabular-milticlass", "kernel_id": "51708365"}, {"ref": "mirkuriit/multi-classification-optuna-lightgbm", "kernel_id": "51211917"}, {"ref": "aadityavardhan/randomforestextratreescatboostxgboostlgbm", "kernel_id": "51291212"}, {"ref": "anopsy/obesity-eda-and-ensemble", "kernel_id": "51442040"}, {"ref": "dhariniselvasekar/comp1-fs5142-dh", "kernel_id": "51787728"}, {"ref": "charlesanjah/obesity-multi-class-prediction", "kernel_id": "51207010"}, {"ref": "aigerimtokhmetova/multi-class-catboost", "kernel_id": "51134881"}, {"ref": "abdelrahmanahmed110/obesity-risk-eda-prediction", "kernel_id": "51782204"}, {"ref": "damathajorisaxel/multi-class-prediction-of-obesity-risk", "kernel_id": "51629428"}, {"ref": "kanishk026/s4e2-lgbm-90-9", "kernel_id": "51027597"}, {"ref": "cristhianccalah/multi-class-prediction-of-obesity-risk-tfdf", "kernel_id": "51448386"}, {"ref": "cristhianccalah/multi-class-prediction-of-obesity-risk-rf", "kernel_id": "51006908"}, {"ref": "ashwinmali/obesity-risk-prediction", "kernel_id": "51116289"}, {"ref": "gyogyocat/tidymodels-cat-lightgbm-randomforest-0-8992", "kernel_id": "51557941"}, {"ref": "waleedejaz/classification-via-xgboost-optuna-hyperparameters", "kernel_id": "51564990"}, {"ref": "ehabessam/innovative-eda-feature-engineering-selection", "kernel_id": "51138534"}, {"ref": "mostafagamal777/playground-obesity-risk-rf-xgb-lgbm-ensemble", "kernel_id": "51239694"}, {"ref": "anmolarora15/obesity-prediction-lgbm-xgb-votingclassifier", "kernel_id": "51790009"}, {"ref": "anirudhasutar/obesity-risk-prediction", "kernel_id": "51058143"}, {"ref": "neamulislamfahim/prediction-of-obesity-risk", "kernel_id": "51416353"}, {"ref": "iitm21f1006461/obesity-3", "kernel_id": "51278114"}, {"ref": "alokrajsidhaarth/s4e2-last", "kernel_id": "51787244"}, {"ref": "nikhilrawat2/notebook2d138f97c0", "kernel_id": "51651534"}, {"ref": "yyazidd/obesity-classification-lgbm-top-10", "kernel_id": "51828545"}, {"ref": "hyojunyoung/multi-class-prediction-of-obesity-risk", "kernel_id": "51140275"}, {"ref": "parthdande/multi-class-prediction-of-obesity-risk", "kernel_id": "51739405"}, {"ref": "nobun123/eda-obesity-prediction", "kernel_id": "51120442"}, {"ref": "drozdovaleksey/xgboost-lgbm-optuna-acc-91", "kernel_id": "51124940"}, {"ref": "tanisha1604/multi-class-prediction-of-obesity-risk", "kernel_id": "51214276"}, {"ref": "rajeshandra/multi-class-obesity-risk", "kernel_id": "51647854"}, {"ref": "christina0626/notebooke25dd198c3", "kernel_id": "51783786"}, {"ref": "changyehun/gb-model-0-89812-private-0-90498-public", "kernel_id": "51877290"}, {"ref": "delikansapmaz/multi-class-prediction-of-obesity-risk-only-code", "kernel_id": "51518790"}, {"ref": "baiqi301/multiclass-obesity-risk-prediction", "kernel_id": "51703063"}, {"ref": "vinaysharma1018/multiclass-prediction-of-obesity-risk", "kernel_id": "51858493"}, {"ref": "pawelkauf/p4e02-xgb-optuna-91-726", "kernel_id": "51240031"}, {"ref": "pawelkauf/p4e02-xgb-optuna-21-nn", "kernel_id": "51574302"}, {"ref": "pawelkauf/p4e02-xgb-resampling-ensemble-tuned-method", "kernel_id": "51469901"}, {"ref": "pawelkauf/eda-starter-notebook", "kernel_id": "51780944"}, {"ref": "sachinsj/multi-class-prediction-of-obesity-risk", "kernel_id": "51165646"}, {"ref": "martinapreusse/ps4e2-obesity-risk-prediction-xgb-r", "kernel_id": "51825307"}, {"ref": "shadyshrey/multiclass-obesity-risk-prediction", "kernel_id": "51794157"}, {"ref": "fatmanurcetnturk/multi-class-classification-model-eda", "kernel_id": "51160827"}, {"ref": "mst923/92-14-obesity-classification", "kernel_id": "51181916"}, {"ref": "rishitaverma02/obesity-risk", "kernel_id": "51004093"}, {"ref": "divyam6969/beginners-friendly-solution", "kernel_id": "51280466"}, {"ref": "divyam6969/best-solution-multiclass-obesity-prediction", "kernel_id": "51129168"}, {"ref": "divyam6969/92-accuracy-solution-understandable", "kernel_id": "51035639"}, {"ref": "aldrinlambon/10-models-for-obesity-risk", "kernel_id": "51162105"}, {"ref": "muratbakirr/viz-i-lgbm-optuna-i-obesity-risk", "kernel_id": "51503098"}, {"ref": "juanjosemuozpanos/obesity-risk-xgboost", "kernel_id": "51047327"}, {"ref": "juanjosemuozpanos/obesity-risk-lightgbm", "kernel_id": "51060542"}, {"ref": "juanjosemuozpanos/obesity-risk-ensemble", "kernel_id": "51454271"}, {"ref": "huzpsb/obesity-risk-prediction-90-acc-by-brute-force", "kernel_id": "51035655"}, {"ref": "abhinavvvvvvvvvv/easiest-prediction-of-obesity-risk", "kernel_id": "51081062"}, {"ref": "energyshuma/multiclass-tensorflow-keras", "kernel_id": "51113771"}, {"ref": "energyshuma/91-lgbm-eda-by-shap", "kernel_id": "51068428"}, {"ref": "soyabulislamlincoln/obesity-prediction", "kernel_id": "51616548"}, {"ref": "abhinandansharma19/ps4e2-with-eda-and-ensemble-learning", "kernel_id": "51626494"}, {"ref": "abhinandansharma19/easy-solution-for-ps4e2", "kernel_id": "51160235"}, {"ref": "jasrehmatkaur/notebook18e1936d6c", "kernel_id": "51152341"}, {"ref": "jasrehmatkaur/obesity-risk-ramen", "kernel_id": "51698435"}, {"ref": "huseinghadiali/lazypredict-gradientboosting-catboost-dt", "kernel_id": "51009064"}, {"ref": "vijaychandrareddy/notebook48f600b240", "kernel_id": "51238496"}, {"ref": "muzammilbaloch/automl-and-obesity-risk-outcomes", "kernel_id": "51057915"}, {"ref": "sathwik04/multiclass-classification-using-ml-models", "kernel_id": "51225188"}, {"ref": "prajaktakohinkar/multi-class-prediction-of-obesity-risk", "kernel_id": "51628511"}, {"ref": "prajaktakohinkar/ps4e2-obesityrisk-xgboost90", "kernel_id": "51642871"}, {"ref": "sundayabraham/multi-class-prediction-of-obesity-risk", "kernel_id": "51056807"}, {"ref": "salazhiev/detailed-analysis", "kernel_id": "51525663"}, {"ref": "jpedrou/prediction-of-obesity-risk", "kernel_id": "51027005"}, {"ref": "dheerov/multi-class-obesity-prediction", "kernel_id": "51073054"}, {"ref": "fatihkgg/obesity-prediction-multiclass-blended-model", "kernel_id": "51243480"}, {"ref": "rizwanahmedabbasi/obesity-risk-using-xgbooster", "kernel_id": "51778725"}, {"ref": "rizwanahmedabbasi/obesity-risk", "kernel_id": "51457262"}, {"ref": "adrianosantosdev/obesity-risk-prediction-and-analysis", "kernel_id": "51169576"}, {"ref": "jialuehuang/prediction-of-obesity-risk", "kernel_id": "51608897"}, {"ref": "rushilmisra/obesity-risk-using-ensemble-model", "kernel_id": "51757845"}, {"ref": "nitleenk/obesity-risk-prediction", "kernel_id": "51070744"}, {"ref": "pulkitsanan/obesity-risk", "kernel_id": "51079342"}, {"ref": "krahul2024/notebook27e0146a2e", "kernel_id": "51752319"}, {"ref": "ishaangaba17/obesity-risk-prediction-easy-soln", "kernel_id": "51530877"}, {"ref": "robpeifon/multiclass-obesity-risk-random-forest-pt-br", "kernel_id": "51798878"}, {"ref": "sardorwwe/multi-class-prediction-of-obesity-risk-pred", "kernel_id": "51433498"}, {"ref": "josephinelsy/multi-class-prediction-obesity", "kernel_id": "51728449"}, {"ref": "akhilpm1996/obesity-risk-prediction", "kernel_id": "51459114"}, {"ref": "mrsimple07/lgmb-classifier-score-0-92196", "kernel_id": "51696275"}, {"ref": "ikjotsingh221/obesityensemble", "kernel_id": "51724777"}, {"ref": "tmsniper/multi-class-prediction-of-obesity-risk-using-lgbm", "kernel_id": "51097599"}, {"ref": "yatharthgautam123789/multi-class-obesity-92-196", "kernel_id": "51754959"}, {"ref": "thamolwanjaru/multi-class-obesity-lgb", "kernel_id": "51962076"}, {"ref": "japjotsingh699/obesity-risk-prediction", "kernel_id": "51893395"}, {"ref": "pinarismiguzel/obesity-risk-optuna-xgboost", "kernel_id": "51009119"}, {"ref": "vanshgupta44/notebookab2568a6f9", "kernel_id": "51287735"}, {"ref": "zephyrus1/prediction-of-obesityrisk-compe-xgb-onevrest-lgbm", "kernel_id": "51042727"}, {"ref": "gauravarya23/playground-obesity-risk-lgbm-with-optuna", "kernel_id": "51273506"}, {"ref": "avikal30/mcp-for-obesity-risk", "kernel_id": "51112774"}, {"ref": "sanchibatra/obesity-risk-prediction-using-xgboost", "kernel_id": "51432742"}, {"ref": "himayankgour/tensorflow-keras-nn-multiclass-obesity-risk-88", "kernel_id": "51552743"}, {"ref": "dghosh05/lgbm-solution", "kernel_id": "51000420"}, {"ref": "dghosh05/playgroundseries", "kernel_id": "51105950"}, {"ref": "himanshu230/notebookbd902c91ac", "kernel_id": "51066780"}, {"ref": "praveshsharma2002/obesity-kaggle", "kernel_id": "51216340"}, {"ref": "shivanshtuteja/0-91-multiclass-prediction-using-xgbclassifier", "kernel_id": "51278382"}, {"ref": "akashvenugopal99/obesity-risk-classification", "kernel_id": "51137895"}, {"ref": "rangalamahesh/obesity-risk-prediction-92", "kernel_id": "51515311"}, {"ref": "scottpitcher/obesity-prediction", "kernel_id": "51179838"}, {"ref": "myash21/multi-class-prediction-using-5-different-models", "kernel_id": "51024425"}, {"ref": "hyrintalion/prediction-of-obesity-risk-lgbm", "kernel_id": "51119568"}, {"ref": "kanyaratp29/csc532-obesityrisk", "kernel_id": "51624060"}, {"ref": "kanyaratp29/prediction-of-obesity-risk", "kernel_id": "51625750"}, {"ref": "sorrawitkwanja/obesity-prediction", "kernel_id": "51962442"}, {"ref": "zeyadsayedadbullah/obesity-risk", "kernel_id": "51718694"}, {"ref": "stutimittal11/obesity", "kernel_id": "51565498"}, {"ref": "jclohjc/multiclass-prediction-of-obesity-risk", "kernel_id": "51034863"}, {"ref": "lorenzojayd/multi-class-obesity-risk-prediction", "kernel_id": "51223277"}, {"ref": "najeebz/multi-class-prediction-obesity-risk-catboost", "kernel_id": "51241988"}, {"ref": "najeebz/multiclass-prediction-lgbm-simple-and-easy", "kernel_id": "51087968"}, {"ref": "najeebz/obesity-risk-multi-class-mlp-classifier-detailed", "kernel_id": "51090779"}, {"ref": "nisha272004gmailcom/notebookdfff52f3b6", "kernel_id": "51019061"}, {"ref": "akarshannirwan/playground-4-ep-02", "kernel_id": "51579078"}, {"ref": "akarshannirwan/basic-softmax-neural-playground-4-ep-02", "kernel_id": "51677709"}, {"ref": "naokinozawa/lightgbm-stratified-k-fold-model-averaging", "kernel_id": "51754114"}, {"ref": "aarushijain24/notebook3599a97d15", "kernel_id": "51106330"}, {"ref": "ssumiii/90-64-private-score-multi-class-lgbm-optuna", "kernel_id": "51392187"}, {"ref": "ahtabekdas/obesity-risk-multi-class-prediction-eng-tr", "kernel_id": "51443111"}, {"ref": "zbeyde/obesity-prediction-xgboost", "kernel_id": "51464993"}, {"ref": "yashsharma1216/obesity-multiclass-prediction-accuracy-91", "kernel_id": "51658564"}, {"ref": "ericmundt/obesity-risk-mc-playground-series", "kernel_id": "51132526"}, {"ref": "grazynah/prediction-with-tensorflow", "kernel_id": "51581251"}, {"ref": "dedlinnn/multi-class-prediction-of-obesity-risk", "kernel_id": "51513396"}, {"ref": "ikromjonovhojiakbar/notebookab0f77037d", "kernel_id": "51636142"}, {"ref": "ntambaraetienne/obesity-team-combetition", "kernel_id": "51041592"}, {"ref": "ustcer1984/obesity-seed-effect", "kernel_id": "51584744"}, {"ref": "ustcer1984/obesity-seed-effect-2", "kernel_id": "51623340"}, {"ref": "ustcer1984/obesity-prediction-knn-model-scaler-tuning-s4e2", "kernel_id": "51398525"}, {"ref": "ustcer1984/obesity-ethics-concern-on-model-selection", "kernel_id": "51526460"}, {"ref": "akoirala111/proper-solution-of-obesity-risk", "kernel_id": "51638667"}, {"ref": "kartikye10/multi-class-prediction-of-obesity-risk-easy", "kernel_id": "51063046"}, {"ref": "akumardev/obesity-risk-multi-classification-models", "kernel_id": "51473823"}, {"ref": "anhkhoango/dap391-thuyet-tr-nh", "kernel_id": "51548832"}, {"ref": "chopper53/multiclassobesityprediction", "kernel_id": "51208517"}, {"ref": "chopper53/obesitypredictionusinggradientboosting", "kernel_id": "51236754"}, {"ref": "chopper53/obesityriskpredictionusingxgboost", "kernel_id": "51225849"}, {"ref": "duyle0408/duy-jennie-obesity-risk-prediction-competition", "kernel_id": "51136777"}, {"ref": "danieldelasheras/daniel-ryan", "kernel_id": "51137944"}, {"ref": "jaskiratsingh2003/obesity-risk", "kernel_id": "51508028"}, {"ref": "aradhakkandhari/obesity-risk-prediction", "kernel_id": "51273607"}, {"ref": "cascarino/eda-xgboost-optuna-ipynb", "kernel_id": "51465119"}, {"ref": "lanceearldaxar/obesity-risk-second-attempt", "kernel_id": "51060050"}, {"ref": "hosseintimasi/obesity-risk-xgboost-tuning", "kernel_id": "51171888"}, {"ref": "ridhii19/eda-obesity", "kernel_id": "51648702"}, {"ref": "vrajpandya103/obesity-prediction", "kernel_id": "51845965"}, {"ref": "icksir/pytorch-tabular-87-in-few-steps", "kernel_id": "51132394"}, {"ref": "abdullahkhanuet22/obesity-risk-eda-find-errors", "kernel_id": "51030826"}, {"ref": "abdullahkhanuet22/random-forest-best-hyper-parameter-tuning-90", "kernel_id": "51132008"}, {"ref": "abdullahkhanuet22/ps4e2-top-10-xgboost-obesity-risk", "kernel_id": "51229116"}, {"ref": "reinaldas/multi-class-prediction-of-weight-risk", "kernel_id": "51772180"}, {"ref": "hemanthhvv/xgboost-randomforest-optuna-playground-s4e2", "kernel_id": "51158200"}, {"ref": "yuzuhong618/multi-class-prediction-with-open-box", "kernel_id": "51162341"}, {"ref": "jigeonpark/easy-beginner-friendly-92-accuracy", "kernel_id": "51554826"}, {"ref": "jigeonpark/jgp-s-kaggle-competition", "kernel_id": "51392626"}, {"ref": "ms2063/notebook0c7241a58b", "kernel_id": "51392643"}, {"ref": "glenlee1/notebookd0564f5b83", "kernel_id": "51392605"}, {"ref": "anbyeol/ml-obesity-risk", "kernel_id": "51392620"}, {"ref": "jhw010110/my-first-contest-on-kaggle", "kernel_id": "51392699"}, {"ref": "jhw010110/obesity-classifier", "kernel_id": "51615209"}, {"ref": "jhw010110/notebook87a4c88bd9", "kernel_id": "51960800"}, {"ref": "hhandaehee/alpha", "kernel_id": "51392137"}, {"ref": "hhandaehee/notebook87a4c88bd9", "kernel_id": "51961974"}, {"ref": "ginakkkk/baseline-scikit-learn-pipeline", "kernel_id": "51392599"}, {"ref": "ginakkkk/notebook22c03a0ff1", "kernel_id": "51614698"}, {"ref": "kongalmengi/junho-s-notebook", "kernel_id": "51392613"}, {"ref": "yellayujin/beginner-friendly-obesity-risk-prediction-ml", "kernel_id": "51963602"}, {"ref": "kimyoungki/lgbm-pipeline", "kernel_id": "51735176"}, {"ref": "kimyoungki/kaggle-project", "kernel_id": "51392618"}, {"ref": "kimyoungki/soft-voting", "kernel_id": "51669024"}, {"ref": "juyoungss/multi-class-prediction-of-obesity-risk", "kernel_id": "51392278"}, {"ref": "juyoungss/ps4e2", "kernel_id": "51734711"}, {"ref": "jeosoyoung/obesity-risk", "kernel_id": "51392637"}, {"ref": "j2nhyeok/notebook9431cf47b0", "kernel_id": "51392644"}, {"ref": "j2nhyeok/obesity-classifier", "kernel_id": "51405146"}, {"ref": "insuny/multi-class-prediction-of-obesity-risk", "kernel_id": "51392619"}, {"ref": "jweon96/multi-class-prediction-of-obesity-risk", "kernel_id": "51402559"}, {"ref": "jihoonyoon332/ml-mc", "kernel_id": "51392601"}, {"ref": "ksh000325/obesity-prediction-with-xgboost-91-accuracy", "kernel_id": "51392629"}, {"ref": "ksh000325/scikit-learn-pipeline-for-optimal-performance", "kernel_id": "51545527"}, {"ref": "ksh000325/obesity-prediction-with-lightgbm", "kernel_id": "51745050"}, {"ref": "kjk6336/ml-class1", "kernel_id": "51392600"}, {"ref": "ivvy107/notebookef5189001f", "kernel_id": "51392671"}, {"ref": "ivvy107/ps4e2-multi-class-prediction-of-obesity-risk", "kernel_id": "51672510"}, {"ref": "ivvy107/obesity-risk-beginner-friendly", "kernel_id": "51711044"}, {"ref": "hyelin606/multi-class-lgbm-optuna", "kernel_id": "51392608"}, {"ref": "seyvom/91-5-tutorial-eda-xgbclassifier-optuna", "kernel_id": "51037749"}, {"ref": "desolationofsmaug/ensemble-learning-84-8-accuracy", "kernel_id": "51026684"}, {"ref": "rijuljain2003/obesity-multiclass-rijul", "kernel_id": "51467821"}, {"ref": "rijuljain2003/obesitypred-rijul", "kernel_id": "51175579"}, {"ref": "santiago123678/notebook9ef069b633", "kernel_id": "51005922"}, {"ref": "violeteb/fork-of-multi-class-prediction-of-obesity-risk-v", "kernel_id": "51127012"}, {"ref": "andreamarquezsanchez/eda-xgboost-for-beginners-91", "kernel_id": "51508083"}, {"ref": "harshitstark/predicting-obesity-risk-across-multi-class", "kernel_id": "51789941"}, {"ref": "adhyanbaluja/notebook618a7e7e07", "kernel_id": "51080071"}, {"ref": "ioancristianbratu/obesity-risk-prediction-with-adaboost", "kernel_id": "51182479"}, {"ref": "ridanshkaul/obesity-risk-withxgboost", "kernel_id": "51444056"}, {"ref": "ridanshkaul/obesitymetric2", "kernel_id": "51036373"}, {"ref": "luxluxshan/obesity-pri-0-90968-pub-0-91871", "kernel_id": "51778746"}, {"ref": "parulkumartiet/comparative-study-of-performance", "kernel_id": "51106044"}, {"ref": "s5hinan/morbidlyabeast", "kernel_id": "51824494"}, {"ref": "dsraghuwanshi/obesitys4", "kernel_id": "51087190"}, {"ref": "simarjeetsingh11/playgrounds4e02-eda-baseline", "kernel_id": "51079860"}, {"ref": "simarjeetsingh11/notebook5aa5865f63", "kernel_id": "51079887"}, {"ref": "yuvam21/obesityprediction21", "kernel_id": "51069728"}, {"ref": "adhidevx369/obesity-risk-ensemblemlpredictor", "kernel_id": "51137123"}, {"ref": "nonscop/obesity-risk-fastai-chapter-9", "kernel_id": "51518890"}, {"ref": "sabainamdar2407/notebookd2257269f8", "kernel_id": "51586061"}, {"ref": "cyrileremin/prediction-for-obesity-risk-xgboost-score-0-919", "kernel_id": "51278012"}, {"ref": "jiaojay28/multi-class-prediction-of-obesity-risk", "kernel_id": "51283835"}, {"ref": "cy9899/homework-1-yi-chen", "kernel_id": "51241512"}, {"ref": "alvinsoewin/obesity-risk-prediction-submission", "kernel_id": "51189492"}, {"ref": "rahul45862/multi-class-of-obesity", "kernel_id": "51001435"}, {"ref": "gargsarita/notebook1cdbeb9e88", "kernel_id": "51016937"}, {"ref": "ashnaarora251/multiclass-prediction-of-obesity-risk", "kernel_id": "51014746"}, {"ref": "hrshbachan3/obesityriskpred-multiclass", "kernel_id": "51112022"}, {"ref": "kalpanatiwari30/multiclass-prediction-of-obesity-risk", "kernel_id": "51198179"}, {"ref": "roshansinha515/roshan-shivam-tirth", "kernel_id": "51246317"}, {"ref": "emmettt/notebook13a319a17c", "kernel_id": "51249660"}, {"ref": "priyansh55/notebook8a92c79753", "kernel_id": "51503001"}, {"ref": "alexeinaxeli/obesity-class-prediction", "kernel_id": "51576444"}, {"ref": "aisuko/multi-class-prediction", "kernel_id": "52288369"}, {"ref": "natsu18/optuna-hyperparameter-tuning-pgs4e3", "kernel_id": "52182416"}, {"ref": "alanortega/ao-hw3", "kernel_id": "52967569"}, {"ref": "dinaismail/multi-class-prediction-of-obesity-risk-90", "kernel_id": "52658958"}, {"ref": "wenhaoloo/obesity-risk-eda-predictive-modelling", "kernel_id": "52568346"}, {"ref": "jpkochar/obesity-risk", "kernel_id": "52344397"}, {"ref": "isazeynalov/multi-class-prediction-with-pipeline-method", "kernel_id": "52703077"}, {"ref": "pedromartnezbarrn/eda-obesity-risk-prediction", "kernel_id": "52010680"}, {"ref": "dapreb/multi-class-obesity-prediction-stastical-analysis", "kernel_id": "52626610"}, {"ref": "kvishalk/catboost-classifier", "kernel_id": "52691707"}, {"ref": "hanahelaly/obesity-kaggle-competition", "kernel_id": "52121409"}, {"ref": "hanahelaly/obesity-classification-using-xgb-dt-rforest-lr", "kernel_id": "52856602"}, {"ref": "lumarian/stat510-hw3", "kernel_id": "52954323"}, {"ref": "rishishah2003/multi-class-prediction-of-obesity-risk", "kernel_id": "52918743"}, {"ref": "aryankalia17/obesity-risk-notebook", "kernel_id": "52234993"}, {"ref": "mohamedmagdy203/obesity-risk-eda-modeling", "kernel_id": "52515087"}, {"ref": "dhruv5775/notebookec3b4b7a7d", "kernel_id": "52014045"}, {"ref": "anadyasahai/obesity-risk-anadya", "kernel_id": "52237747"}, {"ref": "aravindpcoder/multiclass-prediction-of-obesity-data", "kernel_id": "52590354"}, {"ref": "anshulgupta1502/obesity-logistic-regression-1", "kernel_id": "52997904"}, {"ref": "yunasheng/automl-and-obesity-risk-outcomes", "kernel_id": "52285634"}, {"ref": "aalex123321/lgbm-with-best-tuning-params-obesity-risk", "kernel_id": "52044229"}, {"ref": "jayyanamandala/dlnn-onehot-decisiontree-pca-hypertuning-flow", "kernel_id": "52171972"}, {"ref": "gourabr0y555/s4e2-xgboost", "kernel_id": "52319751"}, {"ref": "gourabr0y555/s4e2-random-forests", "kernel_id": "52824765"}, {"ref": "j2nhyeok/notebookf56ce83884", "kernel_id": "52024032"}, {"ref": "chahat03/obesity-risk-p2", "kernel_id": "52309224"}, {"ref": "sabainamdar2407/notebook852992e0e1", "kernel_id": "52395593"}, {"ref": "cvarun/obesity-risk-prediction-eda-vivid-visualisations", "kernel_id": "53444384"}, {"ref": "harikrishnadev/machine-learning-meetups-session-1", "kernel_id": "53416449"}, {"ref": "carloeduardo/multi-class-prediction-with-pipeline-method", "kernel_id": "53375948"}, {"ref": "abeygeorge574/obesity-competition", "kernel_id": "53454735"}, {"ref": "hadilaffes1/prediction-of-obesity-risk", "kernel_id": "53891049"}, {"ref": "sidharthmurali12/obesity-prediction-using-ensemble", "kernel_id": "53557801"}, {"ref": "rishishah2003/bda-obesity-dataset", "kernel_id": "53575436"}, {"ref": "maheshmani13/multi-class-prediction", "kernel_id": "53453990"}, {"ref": "rgarg1234/obesity-risk-prediction-random-forest", "kernel_id": "53517947"}, {"ref": "anshulgupta1502/xgboost-on-obesity-risk", "kernel_id": "53297208"}, {"ref": "nagendra048/multi-class-prediction-of-obesity", "kernel_id": "53285769"}, {"ref": "remyhirwa1/obesity-risk-classification", "kernel_id": "53618793"}, {"ref": "greinald/obesity-risk-notebook", "kernel_id": "53399920"}, {"ref": "amanmalik0302/xgboost-on-obesity-risk", "kernel_id": "53446705"}, {"ref": "amanmalik0302/obesity-logistic-regression-1", "kernel_id": "53015483"}, {"ref": "microse/obesity-prediction-model", "kernel_id": "53820697"}, {"ref": "sunlightsunlight/notebook040a494c59", "kernel_id": "53549604"}, {"ref": "sunlightsunlight/obesity-risk", "kernel_id": "53992223"}, {"ref": "mateuszpiechowski/obesity-risk", "kernel_id": "53582287"}, {"ref": "unsername/obesity-risk", "kernel_id": "53314789"}, {"ref": "learner0512/obesity-risk", "kernel_id": "53325956"}, {"ref": "cdr0101/obesity-risk-0-90823", "kernel_id": "53899488"}, {"ref": "ssuhas76/ps-s04e02-eda-model-building-tuning", "kernel_id": "54247199"}, {"ref": "lucasaresin/obesity-classification-model", "kernel_id": "54376442"}, {"ref": "ashrafmah/multi-class-prediction-of-obisty-risk", "kernel_id": "54726814"}, {"ref": "rafe12/90-53-accuracy-lgbm-obesity-risk-prediction", "kernel_id": "54127097"}, {"ref": "tanishkpatil/prediction-of-obesity-risk", "kernel_id": "54453877"}, {"ref": "anubhavsood/obesityrisk-predictions", "kernel_id": "54607176"}, {"ref": "thibaultbalsan/notebook7929244755", "kernel_id": "54506560"}, {"ref": "umutcindiloglu/turkish-explained-eda-i-pre-pro-i-rfc-89-ac", "kernel_id": "54697859"}, {"ref": "amanaayush/multi-class-obesity", "kernel_id": "54305990"}, {"ref": "anshulgupta1502/lgbm-in-obesity-risk-prediction", "kernel_id": "54544874"}, {"ref": "vineetmehar/obesity-risk-prediction", "kernel_id": "54197202"}, {"ref": "muhammedjunaisk/obesity-risk-prediction", "kernel_id": "54849974"}, {"ref": "elshodabdumahkamov/multi-class-prediction-of-obesity-risk", "kernel_id": "54845523"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk", "kernel_id": "54784443"}, {"ref": "sakshamsikri8/obesity-risk-notebook", "kernel_id": "54265376"}, {"ref": "alirizaercan/obesity-risk-data-science-with-details", "kernel_id": "54306257"}, {"ref": "azizashfak/multi-class-prediction", "kernel_id": "54394942"}, {"ref": "ruqayaalzien/multiclass-obesity-risk-prediction", "kernel_id": "54233033"}, {"ref": "cheshta09/obesity-risk-random-forest", "kernel_id": "54208741"}, {"ref": "chiragchiku25/obesity-risk", "kernel_id": "54224780"}, {"ref": "tanishas2024/obesity-risk", "kernel_id": "54004716"}, {"ref": "suvidhasrivastava04/obesityrisk-suvidha", "kernel_id": "54178202"}, {"ref": "arsteni/obesity-risk-notebook", "kernel_id": "54233655"}, {"ref": "aditivij/obesitystring", "kernel_id": "54615734"}, {"ref": "nnsssadithya/playground-multiclass", "kernel_id": "55440079"}, {"ref": "abrahamajibade/multi-class-obesity-prediction", "kernel_id": "55283502"}, {"ref": "amgadshalaby/multi-class-prediction-of-obesity-risk", "kernel_id": "55552141"}, {"ref": "keremkarayaz/obesity-analysis-and-accuracy-96", "kernel_id": "55286832"}, {"ref": "reaperlethal/multi-class-prediction-of-obesity-risk", "kernel_id": "55276373"}, {"ref": "rizal1015/classification001", "kernel_id": "55088821"}, {"ref": "mouadenna/projet-eda", "kernel_id": "55293506"}, {"ref": "abdmental01/delicious-delights-exploring-online-food", "kernel_id": "55688026"}, {"ref": "abdmental01/unlocking-insights-obesity-risk-analysis", "kernel_id": "55508422"}, {"ref": "abdmental01/fashion-forecast-trending-textile-insights", "kernel_id": "55939566"}, {"ref": "abdmental01/optimizing-banana-quality-a-modeling-approach", "kernel_id": "55937784"}, {"ref": "abdmental01/auto-gluon-clean-solution", "kernel_id": "55961327"}, {"ref": "yanndep/data-viz-90", "kernel_id": "55341578"}, {"ref": "alliehumphrey/trey-and-allie-multiclassobesitywithneuralnetworks", "kernel_id": "55587780"}, {"ref": "zaidali11/multi-class-prediction-eda-feat-eng", "kernel_id": "55241429"}, {"ref": "fatihfurkankurt/prediction-of-obesity-risk", "kernel_id": "55306316"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-1", "kernel_id": "55204202"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-2", "kernel_id": "55219610"}, {"ref": "eduardogds/prediction-of-obesity-risk", "kernel_id": "56369757"}, {"ref": "worufo/multi-class-prediction-of-obesity-risk", "kernel_id": "56976533"}, {"ref": "gabiiwa/classification-randomforest-cross-validation", "kernel_id": "56253594"}, {"ref": "abdullatifkaban/multi-class-prediction-of-obesity-risk", "kernel_id": "56992360"}, {"ref": "jpmartinsf/trabalho1joaopedropereira", "kernel_id": "56960181"}, {"ref": "creativethinking/multi-class-prediction-of-obesity-risk", "kernel_id": "56975514"}, {"ref": "rayssaeng/data-mining-first-assignment-rayssa", "kernel_id": "56417077"}, {"ref": "alkidiarete/classification-fastai-xgb", "kernel_id": "56861537"}, {"ref": "luizfelipeccris/obesidade", "kernel_id": "56961604"}, {"ref": "jasrehmatkaur/of-obesity-risk-ramen", "kernel_id": "56909395"}, {"ref": "cheshtbiala/obesity-risk-random-forest", "kernel_id": "56894047"}, {"ref": "hanyjr/multiclass-prediction-of-obesity-risk-91-accuracy", "kernel_id": "56662102"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-3", "kernel_id": "56111590"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-4", "kernel_id": "56703010"}, {"ref": "cardata/obesity-prediction-analysis", "kernel_id": "56954598"}, {"ref": "tmmarquess/obesity-risk", "kernel_id": "56777866"}, {"ref": "luispauloguedes/notebookinicial", "kernel_id": "56685421"}, {"ref": "krishan007/eda-6-models-xgb-lgbm-catboost-voting-classifier", "kernel_id": "56401722"}, {"ref": "vktsyp/lightgbm-obesity-risk-prediction", "kernel_id": "56023417"}, {"ref": "carlosbrito74/multi-class-prediction-of-obesity-risk", "kernel_id": "56022916"}, {"ref": "brenovalentemanhaes/notebook4daef46f6e", "kernel_id": "56181029"}, {"ref": "dantaslucas/prediction-of-obesity-risk-lucas-m-ximo-dantas", "kernel_id": "57168514"}, {"ref": "neerajgulati/classification-model", "kernel_id": "57873877"}, {"ref": "cehaga/notebook4ad8dbfdf5", "kernel_id": "57211261"}, {"ref": "luamaury/ml-supervisionado-prediction-of-obesity-risk", "kernel_id": "57275640"}, {"ref": "pedrosiqueira1/notebookdb128522ab", "kernel_id": "57117573"}, {"ref": "leonardoemerson/multi-class-prediction-of-obesity-risk", "kernel_id": "57023244"}, {"ref": "serhiizhukov/multi-class-prediction-obesity-eda-fe-baseline", "kernel_id": "57573216"}, {"ref": "litvinenko630/multi-class-obesity-risk-prediction", "kernel_id": "57124132"}, {"ref": "nortonliaz/atividade-2-xgb", "kernel_id": "57713079"}, {"ref": "joopaulopedrosomaus/notebook2492ef4df8", "kernel_id": "57023465"}, {"ref": "melinnediniz/randomforest-tec1-gabriel-lima-melinne", "kernel_id": "57595918"}, {"ref": "taisaevangelista/primeiro-trabalho-coc602", "kernel_id": "57205801"}, {"ref": "chenningyun/mlproject", "kernel_id": "57424058"}, {"ref": "patricktrindade/obesityriskprediction", "kernel_id": "57193670"}, {"ref": "guilhermetapajs/solution-for-playground-series-4-2", "kernel_id": "57543447"}, {"ref": "gabrieldossantoslima/xgboost-tec1-gabriel-lima-melinne", "kernel_id": "57271306"}, {"ref": "mohamedragabmahmued/obesity-risk-xgb-91", "kernel_id": "57004754"}, {"ref": "abdmental01/exploring-data-visual-insights-unveiled", "kernel_id": "57285098"}, {"ref": "dboradeoliveirasouza/multi-class-prediction-of-obesity-risk", "kernel_id": "57095805"}, {"ref": "larissarc763/classification-obesidy-with-xgboost-91-57", "kernel_id": "57687623"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-6-1", "kernel_id": "57660671"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-6-2", "kernel_id": "57943310"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-5-1", "kernel_id": "57039260"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-5-2", "kernel_id": "57129349"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-5-4", "kernel_id": "57345078"}, {"ref": "brenshlytcher/multi-class-prediction-of-obesity-risk-5-3", "kernel_id": "57301559"}, {"ref": "phuongngo2515/pj-ai4h-obesity-risk", "kernel_id": "57776215"}, {"ref": "gabrieldsl/ml-supervisionado", "kernel_id": "57722166"}, {"ref": "victorwillianpr/obesity-top-trab", "kernel_id": "57614350"}, {"ref": "thiagomout/random-forest-thiago-moutinho", "kernel_id": "57114887"}, {"ref": "lhscaldas/obesity-classifier", "kernel_id": "57212118"}, {"ref": "rbarbosa98/classifica-o-risco-de-obesidade", "kernel_id": "57104249"}, {"ref": "virripranav/notebook94083f8e7a", "kernel_id": "57427529"}, {"ref": "virripranav/notebookef94865ca3", "kernel_id": "57323640"}, {"ref": "pedroega/notebookecf8812170", "kernel_id": "57207722"}, {"ref": "yogitamutyala/obesity-risk-prediction", "kernel_id": "58511220"}, {"ref": "longnguyenchi/ml-project-obesity-prediction-new", "kernel_id": "58264313"}, {"ref": "pritampadhan/notebook04bbc99f2a", "kernel_id": "58126277"}, {"ref": "abdmental01/ps4e6-eda-modeling-optuna", "kernel_id": "58647926"}, {"ref": "phuongngo2515/test-ai4hpj", "kernel_id": "58986509"}, {"ref": "brahimy/prediction-of-obesity-risk", "kernel_id": "58290250"}, {"ref": "rebeccaichim/notebook785a3269c5", "kernel_id": "58493171"}, {"ref": "ruchikarani/multi-class-prediction-obesity-risk", "kernel_id": "59415176"}, {"ref": "adisongoh/obesity-risk-factors-with-explainable-ai-xai", "kernel_id": "59334474"}, {"ref": "boubkerbennani/prediction-of-obesity-risk", "kernel_id": "59060792"}, {"ref": "omarsorour/mastering-classification-a-tutorial-on-predicting", "kernel_id": "59620785"}, {"ref": "huriyebykpancar/obesity-risk-multi-class-prediction-ml", "kernel_id": "59883838"}, {"ref": "mdasifikbalmamun/obesity-risk-factors-with-explainable-ai-xai", "kernel_id": "59406274"}, {"ref": "drmurataltun/c9-mastering-classification-obezite", "kernel_id": "60605116"}, {"ref": "hikmetdevlet/3-multi-class-prediction-of-obesity-risk", "kernel_id": "60747885"}, {"ref": "anangshahalder/multiclass-obesity-prediction-xgboost-99", "kernel_id": "60094988"}, {"ref": "mahdifaour/obesity-risk-factors-eda-cleaning-modeling", "kernel_id": "60782463"}, {"ref": "keirenchow/multi-class-prediction-of-obesity-risk-ck", "kernel_id": "60977758"}, {"ref": "mohamedyousefhafez/multi-class-prediction-of-obesity-risk", "kernel_id": "61881535"}, {"ref": "seungjunleeofficial/kaggle-s4e2-simple-solution", "kernel_id": "61812358"}, {"ref": "narekaristakesyan/obesity-risk-classification", "kernel_id": "61190160"}, {"ref": "mohamedraafat11111/predicting-obesity-risk", "kernel_id": "61504699"}, {"ref": "zenri87543/notebookc5cdd96e55", "kernel_id": "61432880"}, {"ref": "khaydaraliev97/multi-class-prediction-of-obesity-risk-playground", "kernel_id": "61213537"}, {"ref": "adhamtarek147/predicting-obesity-risk", "kernel_id": "61163280"}, {"ref": "cb250r/notebook986bae27e3", "kernel_id": "61113827"}, {"ref": "renzou0902/data-science-assignment-by-sato-d48fea", "kernel_id": "61583425"}, {"ref": "ryokitokudai/data-science-assignment-by-sato", "kernel_id": "61256775"}, {"ref": "hommarui/notebook355f8aae19", "kernel_id": "61581898"}, {"ref": "owaisraza009/feature-engineering-and-classification", "kernel_id": "62495410"}, {"ref": "sswssw/autogluon", "kernel_id": "62802519"}, {"ref": "erdoanpeker/obesity-dataset-with-ml-and-dl-methods", "kernel_id": "62525543"}, {"ref": "kyuoma45/multi-class-prediction-of-obesity-risk", "kernel_id": "62736805"}, {"ref": "sahilfatima/obesity-risk-rate", "kernel_id": "62216310"}, {"ref": "ssyyhh/eda-of-obesity-with-prediction-of-target", "kernel_id": "62341821"}, {"ref": "ahmedhussien710/prediction-of-obesity-risk", "kernel_id": "62034307"}, {"ref": "marimo777/notebook5c834dce52", "kernel_id": "62571270"}, {"ref": "marimo777/notebook9c67f694cc", "kernel_id": "62790716"}, {"ref": "cb250r/notebookf4dfa90f52", "kernel_id": "62011470"}, {"ref": "koriyusuke/data-science-assignment-b69112", "kernel_id": "62695320"}, {"ref": "masayaokazaki/notebook83b5de7eca", "kernel_id": "62436678"}, {"ref": "renzou0902/multiclass-ren", "kernel_id": "62737121"}, {"ref": "marlboro8/notebook8d8f788f88", "kernel_id": "62436826"}, {"ref": "urotanri/multi-class-prediction-of-obesity-risk-group5-rf", "kernel_id": "62008721"}, {"ref": "yusuketakayanagi/notebook8f86305aea", "kernel_id": "62436853"}, {"ref": "hommarui/notebook8b32f4104d", "kernel_id": "62801711"}, {"ref": "tghkr12/notebookf80b486b59", "kernel_id": "62436489"}, {"ref": "yawarakasensya/date-science-kadai-kojin", "kernel_id": "62938996"}, {"ref": "hatanoshota/data-science-assignment-b69112", "kernel_id": "62800511"}, {"ref": "ayushalodha/trial-1", "kernel_id": "62306246"}, {"ref": "mabdullahabrar/multi-class-obesity-risk-prediction", "kernel_id": "62427121"}, {"ref": "fellahabdelnour13/multi-class-prediction-of-obesity-risk", "kernel_id": "63245470"}, {"ref": "vitormeurerbesen/obesity-risk-lightgbm-classifier-90-9", "kernel_id": "63175725"}, {"ref": "davinascimento/obesity-risk-classification", "kernel_id": "64586230"}, {"ref": "locquanai/unreliable-cv", "kernel_id": "64999197"}, {"ref": "adarshaddagatla/obesity-predictions", "kernel_id": "64525555"}, {"ref": "ashwanisah1137/mlti-class-obesity-risk", "kernel_id": "64702470"}, {"ref": "surajwate/s4e2-prediction-of-obesity-risk", "kernel_id": "65896934"}, {"ref": "karamalhanatleh/multi-class-obesity-risk-prediction-using-various", "kernel_id": "65817633"}, {"ref": "berkayozturkx/obesity-risk-prediction", "kernel_id": "65007420"}, {"ref": "tinsuabdeta/build-and-evaluate-fivclassification-models-tinsae", "kernel_id": "65775686"}, {"ref": "mohammedezzeldean/multi-class-prediction-obesity-risk-6-models-90", "kernel_id": "65346835"}, {"ref": "mdismielhossenabir/multi-class-prediction-of-obesity-risk", "kernel_id": "66722145"}, {"ref": "mdismielhossenabir/xai-shap-lime-for-obesity-risk-prediction", "kernel_id": "66978019"}, {"ref": "ilapro53/01w0g-prediction-of-obesity-risk-hyperopt", "kernel_id": "66710525"}, {"ref": "patriciabrezeanu/multiple-correspondence-analysis", "kernel_id": "66649047"}, {"ref": "mahmoudmelshaer/obesity-risk", "kernel_id": "66594771"}, {"ref": "shreyasur965/obesity-risk-classification-lgbm", "kernel_id": "66542725"}, {"ref": "tinsuabdeta/build-and-evaluate-tree-models-tinsae-abdeta", "kernel_id": "66227688"}, {"ref": "mohamedibrahimwahba/obesity-classification01", "kernel_id": "66028250"}, {"ref": "snehalkhandewale/obesity-risk-check", "kernel_id": "67316249"}, {"ref": "isaacadio/obesity-analysis", "kernel_id": "67112837"}, {"ref": "snehalkhandewale/health-status-check", "kernel_id": "68137655"}, {"ref": "erenkonta/dl-classification-ile-oks-n-fl-obeziteriskitahmin", "kernel_id": "68894494"}, {"ref": "mahamadoumdiallo/multi-class-prediction-of-obesity-risk", "kernel_id": "69597199"}, {"ref": "mahamadoumdiallo/ps4e2-regression", "kernel_id": "69918188"}, {"ref": "mahamadoumdiallo/eda-xgboost-lightgbm-catboost", "kernel_id": "69918288"}, {"ref": "ahmedmabouelnaga/obesity-risk", "kernel_id": "70764636"}, {"ref": "zyh1104/046-multi-class-prediction-of-obesity-risk", "kernel_id": "71878841"}, {"ref": "wenyuanzhao11/notebook14c31d83dc", "kernel_id": "71802304"}, {"ref": "zyz666/obesity-prediction-1", "kernel_id": "72217174"}, {"ref": "dianalionel/obesity-risk-prediction-89", "kernel_id": "73554250"}, {"ref": "evaaaas/obesity", "kernel_id": "73704897"}, {"ref": "eliunderwood/multi-class-obesity-classification", "kernel_id": "73742991"}, {"ref": "ahmedmagdy740/obesity-prediction", "kernel_id": "74149637"}, {"ref": "phucddo/notebook9831ed0546", "kernel_id": "74914642"}, {"ref": "phucddo/notebook4d0c4781e5", "kernel_id": "74407616"}, {"ref": "jhansisri/randomforestmulticlass-classification", "kernel_id": "75912569"}, {"ref": "regenyang/random-forest111", "kernel_id": "75451195"}, {"ref": "alperugurca/multi-class-prediction-of-obesity-risk", "kernel_id": "75133467"}, {"ref": "senasudemir/obesity-risk-type-prediction", "kernel_id": "76724093"}, {"ref": "alaaharb7/analysis-and-train-with-xgboost", "kernel_id": "76748893"}, {"ref": "polyfazz/nb-obesity-risk", "kernel_id": "77272971"}, {"ref": "tanzuseng/fai-feature-selection", "kernel_id": "78379872"}, {"ref": "alinadantonov/notebookb9e0baf378", "kernel_id": "78652856"}, {"ref": "alinadantonov/notebookc1dd052520", "kernel_id": "78250315"}, {"ref": "hajarlbhyry/ml-1-gp-iti", "kernel_id": "79532368"}, {"ref": "christina0626/obesity-multiclass-prediction", "kernel_id": "79713047"}, {"ref": "guzhinbogdan/ml-reinforcement-learning-03-auto-ml", "kernel_id": "79321746"}, {"ref": "icomert/obesity-risk-prediction-deep-learning", "kernel_id": "79126516"}, {"ref": "manikantayarramneedi/obesity-risk", "kernel_id": "79978175"}, {"ref": "saragamilmohamed/obesity-level-classification", "kernel_id": "80247151"}, {"ref": "rahulladhani/obesity-risk-classification-using-machine-learning", "kernel_id": "80025117"}, {"ref": "keshav1204/obesity-dataset", "kernel_id": "80456622"}, {"ref": "israaabdelghany/prediction-of-obesity-risk-iti-project", "kernel_id": "80103213"}, {"ref": "ugurcan95/obesity-risk-prediction", "kernel_id": "80777323"}, {"ref": "penbenur/multi-class-prediction-of-obesity-risk", "kernel_id": "80032255"}, {"ref": "allenkuo1222/random-forest-test", "kernel_id": "80363997"}, {"ref": "jwjw9603/obesity-risk-random-forest", "kernel_id": "81343354"}, {"ref": "tedrosh/tree-based-multi-class-prediction-of-obesity-risk", "kernel_id": "82681756"}, {"ref": "tedrosh/multi-class-prediction-of-obesity-risk", "kernel_id": "82185579"}, {"ref": "pabloezequielvarela/multi-class-prediction-of-obesity-risk", "kernel_id": "82760384"}, {"ref": "caalvaro/notebook6cf11e9c31", "kernel_id": "83493944"}, {"ref": "guivarela/notebook667de625a1", "kernel_id": "83488860"}, {"ref": "pedrokenshin/datamining-trabalho-1-ipynb", "kernel_id": "83410688"}, {"ref": "gabriellybelchior/1trab-multi-class-prediction-of-obesity-risk", "kernel_id": "83492433"}, {"ref": "nickcorrea/datamining-2025-1", "kernel_id": "83256211"}, {"ref": "yusufbatuhanalgl/xgboost-multi-class-prediction", "kernel_id": "83775339"}, {"ref": "chengsiyu2004/randomforest", "kernel_id": "83730330"}, {"ref": "arezenderj/anderson-notebook-obesidad-risk", "kernel_id": "83337547"}, {"ref": "bilgingunes/multi-class-prediction-of-obesity-risk", "kernel_id": "85218282"}, {"ref": "leonardshanjilee/obesity-prediction-decision-tree", "kernel_id": "85180627"}, {"ref": "talaatmostafa/obesity-risk-classification-using-machine-learning", "kernel_id": "85008500"}, {"ref": "ouzhanakr/late-submission-ps-s4e2-xgboost", "kernel_id": "87987695"}, {"ref": "srisaivaishnavi/notebook454c0a8f35", "kernel_id": "87596620"}, {"ref": "vedanshtyagi2451/obesity-prediction-submission", "kernel_id": "88486440"}, {"ref": "daveli0813/multi-class-prediction-of-obesity-risk-davis", "kernel_id": "88932363"}, {"ref": "fikriabdillah98/obesity-prediction-2", "kernel_id": "90661166"}, {"ref": "galalqassas/auto-choose-hyperparams-with-simulated-annealing", "kernel_id": "94789468"}, {"ref": "shreepurvajad/multi-class-obesity-risk-prediction", "kernel_id": "94671765"}, {"ref": "galalqassas/choose-hyper-params-automatically-with-tabu-search", "kernel_id": "95609718"}, {"ref": "ramireddyvenunath/obesity-risk-prediction-xgboost-91-2", "kernel_id": "96609053"}, {"ref": "gandomsoltani/predict-obesity-risk-lgbm", "kernel_id": "99996664"}, {"ref": "omchoksi04/estimating-obesity-classification", "kernel_id": "100816911"}, {"ref": "ramziddintoxirov/notebookf897aa8bf5", "kernel_id": "101017110"}, {"ref": "william178/xgboost-on-obesity-risk", "kernel_id": "102307432"}, {"ref": "handeharmankaya/obesity-risk-prediction", "kernel_id": "103653180"}, {"ref": "yujuanzhangai/obesity-prediction-visual-eda-lightgbm", "kernel_id": "106601378"}, {"ref": "neediq/obesitypredict", "kernel_id": "106490130"}, {"ref": "ekaterinagrisha/eda-obesity-risk", "kernel_id": "107033722"}, {"ref": "boddurahuladithya/notebookaa193c472b", "kernel_id": "111513938"}, {"ref": "nihalba/multi-class-obesity-risk-prediction-ml", "kernel_id": "114239076"}, {"ref": "mehmetozell/obesity-classification-guide-competition", "kernel_id": "114774899"}, {"ref": "omeraydin1/obesity-risk-dl-algorithm", "kernel_id": "115262728"}, {"ref": "tugcebasyigit/obesity-risk-classification-with-ml", "kernel_id": "116867411"}, {"ref": "zhangwenfu/ps4e2-visual-eda-lgbm-obesity-risk", "kernel_id": "116994366"}, {"ref": "arihantjn29/obesity-risk-using-ensemble-model", "kernel_id": "116579809"}, {"ref": "helenagiovann/cps833-2026-1-trabalho-2-classifica-o", "kernel_id": "116466412"}, {"ref": "brennorodrigues/cps833-2026-1-trabalho-2", "kernel_id": "117882254"}, {"ref": "joaobarmart/notebook40962d6644", "kernel_id": "117604216"}, {"ref": "doruk0bulut/obesity-risk-prediction", "kernel_id": "120002678"}, {"ref": "mariadaragmeh/notebook7fc18fdb87", "kernel_id": "122781109"}, {"ref": "treicyvasconcellos/notebook1ff5ab23ba", "kernel_id": "125969856"}, {"ref": "christina0626/data-analysis-eda", "kernel_id": "127055886"}, {"ref": "steventeng2022/data-analysis-eda-345892", "kernel_id": "128924265"}, {"ref": "johnnyee/data-analysis-eda", "kernel_id": "129027606"}, {"ref": "zqx960151285/multi-class-prediction-of-obesity-risk", "kernel_id": "129714219"}, {"ref": "michaelenoh/multi-class-prediction-of-obesity-risk", "kernel_id": "131753212"}, {"ref": "michaelenoh/multi-class-prediction-the-risk-of-obesity", "kernel_id": "132472741"}, {"ref": "davidsmv/multi-class-prediction-of-obesity-risk", "kernel_id": "133049047"}]}
{"competition_id": "68489", "kernels": []}
{"competition_id": "68507", "kernels": []}
{"competition_id": "68633", "kernels": []}
{"competition_id": "68660", "kernels": []}
{"competition_id": "68668", "kernels": []}
{"competition_id": "68683", "kernels": [{"ref": "jsundance/erosion-lightgbm-submission", "kernel_id": "50531482"}, {"ref": "robertminarik/vanilla-model-erosion", "kernel_id": "50338027"}, {"ref": "itankoyeu/erossion-cat-model-with-eda-and-feature-selection", "kernel_id": "51192472"}, {"ref": "pietromaldini1/3rd-place-erosion-cat-prediction", "kernel_id": "51086940"}, {"ref": "arturopatka/4th-place-solution-for-esa-predicting-erosion-cat", "kernel_id": "51791158"}]}
{"competition_id": "68685", "kernels": []}
{"competition_id": "68691", "kernels": []}
{"competition_id": "68699", "kernels": [{"ref": "raohamzatariq/steel-plate-defect-prediction", "kernel_id": "50192608"}, {"ref": "lucamassaron/normalization-vs-standardization", "kernel_id": "51885161"}, {"ref": "lucamassaron/steel-plate-eda-xgboost-is-all-you-need", "kernel_id": "51813776"}, {"ref": "nairnmcwilliams/pg-4-03-steel-plate-defect-prediction", "kernel_id": "51829085"}, {"ref": "uzdavinys/pg-s04e03-fastai-tabular-model-0-87602", "kernel_id": "51812585"}, {"ref": "rockiecao/pss4e3-steelplatedefect-multiclassification", "kernel_id": "51893748"}, {"ref": "alifeform/steel-urself", "kernel_id": "51865527"}, {"ref": "vassyesboy/eda-model-selection-baseline-catboost-lgbm", "kernel_id": "51889891"}, {"ref": "arnogils/basic-xgb-for-steel-plate-defects-0-8948", "kernel_id": "51825530"}, {"ref": "ankurgarg04/fault-detection-easy-xgb-with-optuna", "kernel_id": "51844693"}, {"ref": "saravanakumar35/steel-plate-defect", "kernel_id": "51813317"}, {"ref": "docxian/ps-s4-e03-visual-eda-and-target-correlations", "kernel_id": "51892986"}, {"ref": "neonkraft/smac-lgbm-xgb-optimize-weighting", "kernel_id": "51819107"}, {"ref": "oscarm524/ps-s4-ep3-eda-modeling-submission", "kernel_id": "51798014"}, {"ref": "natsu18/pgs-s4e3-ensemble", "kernel_id": "51813169"}, {"ref": "rajo09/steel-plate-xgboost-lgbm-model-score-0-88795", "kernel_id": "51829947"}, {"ref": "jojoyin/optuna-steel-plate-multi-classes", "kernel_id": "51808507"}, {"ref": "rucheiitr/steel-plate-default-prediction", "kernel_id": "51833998"}, {"ref": "craigmthomas/play-s4e3-multilabel-nn", "kernel_id": "51943030"}, {"ref": "craigmthomas/play-s4e3-eda-basic-models", "kernel_id": "51798643"}, {"ref": "umar47/steel-plate-evaluation-by-class", "kernel_id": "51822951"}, {"ref": "veirding/s4e03-steel-plate-defect-prediction", "kernel_id": "51800589"}, {"ref": "omarvivas/keras-model-s403", "kernel_id": "51922140"}, {"ref": "omarvivas/lgbm-model-s403", "kernel_id": "51935135"}, {"ref": "omarvivas/torch-model-s4e3", "kernel_id": "51933017"}, {"ref": "omarvivas/xgb-model-s403", "kernel_id": "51940724"}, {"ref": "omarvivas/cb-model-s4e3", "kernel_id": "51882139"}, {"ref": "ivanvaccari/s04e03-89-simple-eda-xgboost-optimizer", "kernel_id": "51815337"}, {"ref": "ayhampar/xgb-5fold-cross-val", "kernel_id": "51868700"}, {"ref": "stpeteishii/steel-plate-defects-lgbm-w-optuna", "kernel_id": "51823800"}, {"ref": "jokerinthapack/steel-plates-4-03", "kernel_id": "51827541"}, {"ref": "blade007/neural-network-with-tensorflow", "kernel_id": "51979531"}, {"ref": "blade007/steel-plates-eda-for-beginners", "kernel_id": "51876152"}, {"ref": "anzarwani2/stell-plant-defect-prediction-playground-s4e3", "kernel_id": "51817487"}, {"ref": "mpwolke/seven-targets-tf-decision-forests", "kernel_id": "51797207"}, {"ref": "syerramilli/ps4e03-multi-class-lightgbm", "kernel_id": "51840975"}, {"ref": "rajsengo/eda-and-xgboost-baseline", "kernel_id": "51796479"}, {"ref": "ivanblch/seminar1", "kernel_id": "51940412"}, {"ref": "danielfourie/ps4e3-steel-plate-defects-eda-and-xgboost", "kernel_id": "51829965"}, {"ref": "nickfecondo/steel-plate-classification", "kernel_id": "51834044"}, {"ref": "nivedithavudayagiri/steel-defect-prediction-eda-ensemble", "kernel_id": "51803827"}, {"ref": "aniruddhaprasadpatil/gradient-boosting-pycaret-auc-82", "kernel_id": "51920528"}, {"ref": "hopesb/steel-plate-defect", "kernel_id": "51957683"}, {"ref": "beckpro/eda-pycaret-lightgbm-clustering-pca-0-886", "kernel_id": "51907214"}, {"ref": "thiagomantuani/ps4e03-steel-plate-defect-for-beginners", "kernel_id": "51825947"}, {"ref": "thomasmeiner/ps4e3-eda-feature-engineering-model", "kernel_id": "51806313"}, {"ref": "cyrilbourgeois/playground-s4e03-autogluon-best-quality", "kernel_id": "51848560"}, {"ref": "cyrilbourgeois/playground-s4e03-xgboost-ensembler", "kernel_id": "51931501"}, {"ref": "sasakitetsuya/simple-try-with-two-models-0-88124", "kernel_id": "51905363"}, {"ref": "tomkarlsson/playground-s04e03-002", "kernel_id": "51893870"}, {"ref": "tomkarlsson/playground-s04e03-003", "kernel_id": "51941897"}, {"ref": "tomkarlsson/playground-s04e03-001", "kernel_id": "51845161"}, {"ref": "bennyfung/steel-plate-defect-eda-smote", "kernel_id": "51835420"}, {"ref": "jimgruman/steel-plate-multiclass", "kernel_id": "51854058"}, {"ref": "tomactlog/eda-target-and-train-columns", "kernel_id": "51873395"}, {"ref": "bhavikjikadara/steel-plate-defect-prediction-lightgbm-model", "kernel_id": "51966294"}, {"ref": "mohamedtahaouf/steel-plate-defect-eda-prediction", "kernel_id": "51938026"}, {"ref": "chenfengyifan/steel-plate-defect-prediction", "kernel_id": "51848636"}, {"ref": "adamsuttonclt/steelplate1", "kernel_id": "51937900"}, {"ref": "shayalvaghasiya/steel-plate-defect-prediction", "kernel_id": "51952198"}, {"ref": "barbagrande007/bbg007-steelplatedefects-s4e3", "kernel_id": "51815586"}, {"ref": "act18l/s4e3-keras-nn", "kernel_id": "51903447"}, {"ref": "tdoh86/ps4e3-eda-and-baseline-automl-model", "kernel_id": "51888348"}, {"ref": "ravi20076/playgrounds4e03-eda-binaryclassifier", "kernel_id": "51813313"}, {"ref": "ravi20076/playgrounds4e03-eda-multilabelclassifier", "kernel_id": "51876850"}, {"ref": "sujaykapadnis/ps-s4-e3-eda-submission", "kernel_id": "51818455"}, {"ref": "maciejmitraszewski/playground-s04e03-voting-optuna", "kernel_id": "51832236"}, {"ref": "hamzabinbutt/steel-tensor1", "kernel_id": "51869665"}, {"ref": "jpkochar/eda-steel-plate-defect-prediction", "kernel_id": "51808254"}, {"ref": "klyushnik/classification-with-kears-tensorflow", "kernel_id": "51829019"}, {"ref": "bryamblasrimac/steelplatedefect-prediction-eda-polars-votingclass", "kernel_id": "51830985"}, {"ref": "varunraskar/baseline-model-85", "kernel_id": "51820119"}, {"ref": "varunraskar/ensemble-with-xgb-lgbm-cat-88", "kernel_id": "51873364"}, {"ref": "mustafakeser4/autogluon-multiclass", "kernel_id": "51967524"}, {"ref": "rmehedi/ps4e3-lgbm-sfs-optuna", "kernel_id": "51865627"}, {"ref": "pasqualemar/steel-plate-defect-prediction-ready-set-go", "kernel_id": "51822477"}, {"ref": "prash4nt/240301-ps04e03", "kernel_id": "51820441"}, {"ref": "lixfzz/steel-plate-defect-pred-hypergbm-automl-baseline", "kernel_id": "51869514"}, {"ref": "rohansardar/basic-xgboost", "kernel_id": "51830195"}, {"ref": "kenjikaminogo/lightgbm-baseline-beginners-score-0-89143", "kernel_id": "51801296"}, {"ref": "vayanshgarg/steel-plate-defect", "kernel_id": "51951281"}, {"ref": "mariusborel/steel-plate-defect-prediction", "kernel_id": "51796476"}, {"ref": "kapturovalexander/kapturov-s-solution-of-ps-s4e3", "kernel_id": "51796550"}, {"ref": "ndohmoise/simple-defect-prediction-score-xgboost", "kernel_id": "51995588"}, {"ref": "akokoo/s4e03-data-xgb-eda", "kernel_id": "51798771"}, {"ref": "lvdj94/voting-classifier-and-tree-models", "kernel_id": "51929240"}, {"ref": "lvdj94/pipeline-machine-learning-lgbm-88", "kernel_id": "51925108"}, {"ref": "lvdj94/tree-based-models-beginners", "kernel_id": "51895626"}, {"ref": "chunhsientsai/ps4e3-xgb-beginner-quick-starter", "kernel_id": "51799583"}, {"ref": "harharharhar/s04e03-steel-plate", "kernel_id": "51993131"}, {"ref": "francescoliveras/ps-s4-e3-eda-model-en-es", "kernel_id": "51810638"}, {"ref": "juniorbertrand/ps4e3-steel-defect-prediction-xgboost", "kernel_id": "51797662"}, {"ref": "aaradhyabadal/eda-baseline-0-8854-steel-plate-defects", "kernel_id": "51833377"}, {"ref": "ucas0v0zhuoqunli/playground-series-season-4-episode-3-flaml", "kernel_id": "51797478"}, {"ref": "ucas0v0zhuoqunli/pss4e3-flaml-ensemble", "kernel_id": "51802166"}, {"ref": "kuryakin/ps-s4e3-voting", "kernel_id": "51917991"}, {"ref": "kuryakin/ps-s4e3-lgbm-xgbm-hgbm-cross-val", "kernel_id": "51873923"}, {"ref": "kuryakin/ps-s4e3-xgboost", "kernel_id": "51804941"}, {"ref": "avdhesh15/steel-plate-defect-prediction-model", "kernel_id": "51915939"}, {"ref": "carloscll/benchmarking-dummy-classifier", "kernel_id": "51806729"}, {"ref": "fajemisinadeniyi/steel-plate-defect-prediction", "kernel_id": "51798723"}, {"ref": "cnezhmar/eda-steel-plate-defect-prediction", "kernel_id": "51796982"}, {"ref": "nazimcherpanov/0-8922-steel-plate-defect-prediction", "kernel_id": "51935019"}, {"ref": "pavlobaranchuk/steel-plate-defect-prediction", "kernel_id": "51981819"}, {"ref": "eouedraogo4/plate-defect-lightgbm-optuna", "kernel_id": "51856023"}, {"ref": "eouedraogo4/plate-defect-catboost-baseline", "kernel_id": "51857931"}, {"ref": "eouedraogo4/plate-defect-catboost-optuna", "kernel_id": "51858307"}, {"ref": "eouedraogo4/plate-defect-lightgbm-baseline", "kernel_id": "51808989"}, {"ref": "eouedraogo4/plate-defect-xgboost-optuna", "kernel_id": "51809216"}, {"ref": "eouedraogo4/plate-defect-xgboost-baseline", "kernel_id": "51804574"}, {"ref": "atharva0577/s4e03-eda", "kernel_id": "51804009"}, {"ref": "kanishk026/multioutputclassifier-w-lgbm", "kernel_id": "51826518"}, {"ref": "ahmedgouda8wo/defect-prediction-easy-89-beginner-guide", "kernel_id": "51852840"}, {"ref": "getanmolgupta01/defect-pred-eda-xgboost-lgbm-catboost", "kernel_id": "51905015"}, {"ref": "vishnupriyagarige/steel-plate-defect-prediction", "kernel_id": "51835048"}, {"ref": "gyogyocat/baseline-r-regression", "kernel_id": "51831707"}, {"ref": "neupane9sujal/ps04e03-steel-plate-defect-xgboost-oof-preds", "kernel_id": "51811717"}, {"ref": "akashdeepkataria/steel-plate-defect-prediction", "kernel_id": "51903469"}, {"ref": "itasps/steel-plate-defect-prediction-eda-lazypredict", "kernel_id": "51859218"}, {"ref": "ilya2raev/0-89411-s4e3-steel-plate-defect-prediction", "kernel_id": "51826664"}, {"ref": "arunklenin/ps4e3-steel-plate-fault-prediction-multilabel", "kernel_id": "51873386"}, {"ref": "riyaraizada/steel-plate-defect-prediction", "kernel_id": "51802118"}, {"ref": "yuehengzeng/autogluon-baseline-ps4e3", "kernel_id": "51801449"}, {"ref": "luficergfree/man-of-steel-baseline-with-laziness", "kernel_id": "51838375"}, {"ref": "pawelkauf/fork-of-eda-starter-notebook", "kernel_id": "51829208"}, {"ref": "kalpanagarige/steel-plate-defect-detection", "kernel_id": "51990013"}, {"ref": "shadechen/lgbm-baseline", "kernel_id": "51804117"}, {"ref": "ramjaslangdi/steel-plate-defect-prediction", "kernel_id": "51922748"}, {"ref": "pairavithanancheyan/xgb-baseline-7-targets-0-89020", "kernel_id": "51925064"}, {"ref": "siva0310/steel", "kernel_id": "51867516"}, {"ref": "rishitaverma02/steel-plate-defect-prediction", "kernel_id": "51796627"}, {"ref": "dhruv5775/notebook6ccede2529", "kernel_id": "51970877"}, {"ref": "aldrinlambon/10-models-for-steel-plate-defect", "kernel_id": "51861036"}, {"ref": "noepinefrin/0-89484-weighted-ensemble-xgb-lgbm-cat", "kernel_id": "51801554"}, {"ref": "umeshlohakare/steel-plate-defect-analysis", "kernel_id": "51956236"}, {"ref": "commentsm/steel-w-keras", "kernel_id": "51837592"}, {"ref": "pratyushojha12/steel-defect-pratyush", "kernel_id": "51877508"}, {"ref": "arryuannkhanna123/simple-gridsearchcv-solution", "kernel_id": "51931328"}, {"ref": "armanzhalgasbayev/ps-s4-e3-catboost-0-89-experiment", "kernel_id": "51828221"}, {"ref": "vaibhavac/steel-plate-s4e3-neural-network-keras-multiclass", "kernel_id": "51867574"}, {"ref": "giovanabandinelli/steel-plate-defect-prediction-gb", "kernel_id": "51999918"}, {"ref": "ddosad/ps4e3-starter-eda-lgbm-steel-plate-defects", "kernel_id": "51806013"}, {"ref": "himanshuydv11/playground-s4e03-starter-89-226", "kernel_id": "51817034"}, {"ref": "goshak/steel-plate-defect-prediction-with-xgboost", "kernel_id": "51875241"}, {"ref": "gamablobyt/steel-plate-defect-prediction-using-lgbm", "kernel_id": "51933450"}, {"ref": "aryangupta30/steel-plate-defect-0-884-lgbm-simple", "kernel_id": "51922233"}, {"ref": "melodykoh/steel-plate-defect-roc-auc-xgboost-lgbm", "kernel_id": "51903620"}, {"ref": "mikhailnaumov/steel-plate-defect-0-894-voting-model", "kernel_id": "51820151"}, {"ref": "mikhailnaumov/steel-plate-defect-xgb", "kernel_id": "51884701"}, {"ref": "ravaghi/s04e03-steel-plate-defects-xgboost", "kernel_id": "51974269"}, {"ref": "mrsimple07/easy-prediction-score-0-89478-xgb-optuna", "kernel_id": "51969360"}, {"ref": "imtommi/steel-plate-defect-simple-xgb", "kernel_id": "51854980"}, {"ref": "akankshasolanki123/steel-plate-defect-prediction", "kernel_id": "51930563"}, {"ref": "guilhermepoliveira/simple-xgb-smote-for-beginners", "kernel_id": "51996018"}, {"ref": "raghav723/steel-plate-prediction", "kernel_id": "51911196"}, {"ref": "japjotsingh699/steel-plate-prediction", "kernel_id": "51892886"}, {"ref": "shiivvvaam/steel-plate-defect-prediction", "kernel_id": "51811682"}, {"ref": "iyasha/steel-plate-defect-prediction", "kernel_id": "51935617"}, {"ref": "kunal025/steel-plate-defect-prediction", "kernel_id": "51931793"}, {"ref": "piyush1234ggfuvi/steel-plate", "kernel_id": "51889575"}, {"ref": "yashpuri1912/steel-plate", "kernel_id": "51918337"}, {"ref": "serhiikharchuk/with-catboostclassifier", "kernel_id": "51990459"}, {"ref": "pritishpriyam4/simple-lgbm-approach", "kernel_id": "51885339"}, {"ref": "puneetgupta24/steel-plate-defects", "kernel_id": "51910391"}, {"ref": "shwetakk/notebook078d2f9f1e", "kernel_id": "51810099"}, {"ref": "praveshsharma2002/tensorflow-decision-forests-rf-cm-gb-fi", "kernel_id": "51806294"}, {"ref": "hyrintalion/steel-plate-defect-prediction-fast-ai", "kernel_id": "51989172"}, {"ref": "lashfire/trying-unique-ways-binaryclassifier-fe", "kernel_id": "51847740"}, {"ref": "zeyadsayedadbullah/steel-plate-xgboost-model", "kernel_id": "51854761"}, {"ref": "zeyadsayedadbullah/steel-plate-lightgbm-model", "kernel_id": "51881498"}, {"ref": "zeyadsayedadbullah/steel-plate-catboost-model", "kernel_id": "51882037"}, {"ref": "rohanthakur336/steel-plate-defect-prediction-simple", "kernel_id": "51950949"}, {"ref": "madao13/beginner-ps4e3-lightgbm", "kernel_id": "51799411"}, {"ref": "najeebz/simple-tensorflow-cnn-hyper-parameter-optuna-tuned", "kernel_id": "51732619"}, {"ref": "najeebz/simple-defect-prediction-xgboost-machine-learning", "kernel_id": "51796538"}, {"ref": "naokinozawa/playgrounds4e03-box-cox-transformation", "kernel_id": "51856990"}, {"ref": "naokinozawa/lightgbm-simple-prediction", "kernel_id": "51819181"}, {"ref": "sehajbirsinghbains/steel-plate-defect-prediction", "kernel_id": "51933030"}, {"ref": "sunilkumaradapa/ensemble-elixir-xgb-h2o", "kernel_id": "51809485"}, {"ref": "notsau/defect-prediction-xgboost-83", "kernel_id": "51970856"}, {"ref": "himanshux7/notebookdff53b136a", "kernel_id": "51918187"}, {"ref": "devbansal2140/steel-plate-detection-using-xgboost", "kernel_id": "51928142"}, {"ref": "ustcer1984/steel-plate-eda-s4e3", "kernel_id": "51911915"}, {"ref": "yteshima/ipywidgets-xgboost-steel-plate-defect-prediction", "kernel_id": "51881978"}, {"ref": "aradhakkandhari/steel-plate-defect-prediction", "kernel_id": "51911527"}, {"ref": "ilanbacry/binary-relevance-voting-classifier", "kernel_id": "51815322"}, {"ref": "renhuang8/0-87562-steel-plate-defect-prediction-autogluon", "kernel_id": "51803066"}, {"ref": "renhuang8/steel-plate-defect-prediction-mlp", "kernel_id": "51799552"}, {"ref": "desolationofsmaug/eda-xgboost", "kernel_id": "51995576"}, {"ref": "santiago123678/steel-plate-defect-prediction", "kernel_id": "51797165"}, {"ref": "harshitstark/steel-plate-defect-prediction", "kernel_id": "51897919"}, {"ref": "adhyanbaluja/steel-plate", "kernel_id": "51930905"}, {"ref": "dhruvsinghchauhan01/steel-plate-defect", "kernel_id": "51922247"}, {"ref": "aarushijuneja07/steel-plate-predict", "kernel_id": "51866285"}, {"ref": "devansharora7/steel-plate-defects-d", "kernel_id": "51892875"}, {"ref": "huseyinsezen/steel-plate-xgbboost", "kernel_id": "51820775"}, {"ref": "huseyinsezen/steel-plate-lgbmclassifier", "kernel_id": "51922471"}, {"ref": "fancifulcrow/ps-s04e03-xgboost", "kernel_id": "51873141"}, {"ref": "alexeinaxeli/steel-plate-defect-eda-data-prep-xgboost-eval", "kernel_id": "51972948"}, {"ref": "mickygreen/random-forest", "kernel_id": "51906562"}, {"ref": "cloudzhang910/testing-notebook", "kernel_id": "51906028"}, {"ref": "sachinsachdeva/steel-plate-defect-s4e03-flaml-automl", "kernel_id": "52613154"}, {"ref": "pmathur/simple-random-forest-feature-col-altered-87", "kernel_id": "52157059"}, {"ref": "uzdavinys/pg-s04e03-feature-selection-using-sklearn", "kernel_id": "52857748"}, {"ref": "rockiecao/pss4e3-steelplatedetect-multilabel-optuna", "kernel_id": "52046314"}, {"ref": "arosielle/steelplate-multiclass", "kernel_id": "52312347"}, {"ref": "aspillai/steel-plate-defect-prediction-lightgbm-0-89553", "kernel_id": "52816416"}, {"ref": "ankurgarg04/steel-plate-defect-detection-technique-exploration", "kernel_id": "52961766"}, {"ref": "ankurgarg04/normalization-vs-standardization", "kernel_id": "52018189"}, {"ref": "maheswarareddyp/steelplate-multiclassification-pgs4e3", "kernel_id": "52282354"}, {"ref": "kidkoala/super-simple-defect-prediction-with-3-models", "kernel_id": "52427865"}, {"ref": "milindrb/stackedclassifier", "kernel_id": "52910905"}, {"ref": "natsu18/optuna-hyperparameter-tuning-pgs4e3", "kernel_id": "52182416"}, {"ref": "herczeggyrgy/steele-plate-defect-prediction", "kernel_id": "52633115"}, {"ref": "vinitkp/steel-plate-defect-prediction", "kernel_id": "52566808"}, {"ref": "daonguyenduong/0-8877-xgb-rf-7-ensemble-voting-models", "kernel_id": "52161789"}, {"ref": "saurav9786/01-eda-fe-base-classifier", "kernel_id": "52320611"}, {"ref": "carljvh/steel-with-fastai-neural-net", "kernel_id": "52713041"}, {"ref": "rajatkul16/defect-eda", "kernel_id": "52676405"}, {"ref": "ivanblch/seminar4", "kernel_id": "52598322"}, {"ref": "ivanblch/seminar2", "kernel_id": "52062314"}, {"ref": "ivanblch/seminar3", "kernel_id": "52301081"}, {"ref": "ivanblch/seminar5", "kernel_id": "52873428"}, {"ref": "yassen2014/steel-plate-defect-prediction", "kernel_id": "52381385"}, {"ref": "alexisvannaire/steel-plate-defect-prediction", "kernel_id": "52031611"}, {"ref": "seanandrie/ps-s4-e03-steel-plate-defect-multiclass", "kernel_id": "52025741"}, {"ref": "yeonseokcho/steel-plate-defect-multi-output", "kernel_id": "52253676"}, {"ref": "agshiv92/better-score-eda-modeling-submission", "kernel_id": "52356320"}, {"ref": "agshiv92/beginner-friendly-eda-modeling-submission-s4e03", "kernel_id": "52173566"}, {"ref": "anubhavtyagi1212/psg-steel-plate-defects-lgbm-dense-autoviz", "kernel_id": "52664033"}, {"ref": "amitvkulkarni/ps4-e3-simple-lgbm-binary-classification", "kernel_id": "52080548"}, {"ref": "karthikgangula/in-depth-eda-modelling-intuition", "kernel_id": "52408902"}, {"ref": "hikarumoriya/steel-plate-eda-and-predict-with-xgboost-japanese", "kernel_id": "52507729"}, {"ref": "tracyporter/play-4-3-rfc-chain", "kernel_id": "52192605"}, {"ref": "tracyporter/play-4-3-rfc-multioutput", "kernel_id": "52155399"}, {"ref": "shunkentchook/simple-xgb-smote-steel-plate-prediction-88-9", "kernel_id": "52728880"}, {"ref": "birlinha/target-manipulation-and-analysis", "kernel_id": "52110821"}, {"ref": "samyakb/eda-using-anova", "kernel_id": "52394626"}, {"ref": "sasayaka/0-89258-simple-onevsrestclassifier-eng", "kernel_id": "52838606"}, {"ref": "thomasmeiner/ps4e3-binary-modelling-with-bluecast", "kernel_id": "52077155"}, {"ref": "thomasmeiner/ps4e3-bluecast-a-comprehensive-overview", "kernel_id": "52207513"}, {"ref": "chinmayadatt/xgboost-ensemble-multilabel-0-89630", "kernel_id": "52010160"}, {"ref": "sunnybeta/basic-mlp-classifier", "kernel_id": "52691721"}, {"ref": "miyawakiyoshifumi/pyboost-baseline-lb-0-89287", "kernel_id": "52004475"}, {"ref": "miyawakiyoshifumi/keras-baseline-tuner", "kernel_id": "52023466"}, {"ref": "miyawakiyoshifumi/baseline-tabnet", "kernel_id": "52134053"}, {"ref": "miyawakiyoshifumi/local-and-global-explanation-explainable-ai", "kernel_id": "52262954"}, {"ref": "miyawakiyoshifumi/baseline-keras", "kernel_id": "52572768"}, {"ref": "bunny11/steel-plate-defect-prediction", "kernel_id": "52922847"}, {"ref": "amitadhi/steel-plate-defect-prediction-lgbm", "kernel_id": "52127174"}, {"ref": "amitadhi/multilabel-classification-using-lightgbm", "kernel_id": "52187765"}, {"ref": "aadarshvelu/steel-plate-defect-classification-using-tensorflow", "kernel_id": "52695742"}, {"ref": "marcogherbezza/steel-plate-defect-eda", "kernel_id": "52025565"}, {"ref": "metehankantemir/steel-plate-defect-prediction", "kernel_id": "52572551"}, {"ref": "anuwaz/s4e3-7-dnn-binary-classifiers", "kernel_id": "52330291"}, {"ref": "anuwaz/pytorch-dnn-oof-predictions", "kernel_id": "52282403"}, {"ref": "anuwaz/s4e3-beginner-friendly-deep-neural-network", "kernel_id": "52115059"}, {"ref": "moyamoya/ps4e3-lightgbm", "kernel_id": "52795979"}, {"ref": "selen0phile/steel-plate-defection-prediction", "kernel_id": "52574199"}, {"ref": "amirkotobi/steel-plate-eda-ensemble-learning", "kernel_id": "52440358"}, {"ref": "piyushjoshi01/sp-defect-s4e3", "kernel_id": "52228882"}, {"ref": "mihiranpasindu/steel-plate-defect-prediction", "kernel_id": "52856202"}, {"ref": "m1y7k8/ps4e3-steel-plate-defect", "kernel_id": "52708719"}, {"ref": "sohaibmoradi/ps-s4e3-eda-feature-engineering-catboost", "kernel_id": "52829626"}, {"ref": "aaniksahaa/xgb-lgbm-optuna", "kernel_id": "52518515"}, {"ref": "kuldeeprathoree/89-645-steel-plate-fault", "kernel_id": "52205580"}, {"ref": "satyaprakashshukl/fasteda-neural-network", "kernel_id": "52560708"}, {"ref": "satyaprakashshukl/simple-rf-classification", "kernel_id": "52476019"}, {"ref": "satyaprakashshukl/steel-plate-defect-prediction-eda", "kernel_id": "52393138"}, {"ref": "nitishviraktamath/steel-plate-prediction-lightgbm-roc-auc-0-88453", "kernel_id": "52215607"}, {"ref": "ravi20076/playgrounds4e03-eda-multiclassclassifier-v1", "kernel_id": "52188692"}, {"ref": "andreal314159/steel-plate-defect-prediction", "kernel_id": "52366257"}, {"ref": "maciejmitraszewski/multilabel-multimodel-0-897-cv-score-4-folds", "kernel_id": "52121690"}, {"ref": "dimakulbida/steel-plate-detected-comp", "kernel_id": "52973169"}, {"ref": "jpkochar/xgb-steel-plate-defect-prediction", "kernel_id": "52599267"}, {"ref": "adrienriaux/lightgbm-and-smote-with-optuna", "kernel_id": "52808079"}, {"ref": "klyushnik/stacking-classifier-and-synthetic-df", "kernel_id": "52020381"}, {"ref": "varunraskar/eda-beginners", "kernel_id": "52174953"}, {"ref": "vinaykumar52/steel-plate-defect-prediction", "kernel_id": "52181327"}, {"ref": "vl4deee11/algods-team-logit-xgb-lgbm-catboost", "kernel_id": "52287707"}, {"ref": "dhineshbabbu/adb-steel-plate-defect-prediction", "kernel_id": "52021878"}, {"ref": "iqmansingh/steel-plate-lgbm-cat-xgb-multi-model", "kernel_id": "52104218"}, {"ref": "hknaralasetty/steel-plate-defect-prediction-xgb", "kernel_id": "52227809"}, {"ref": "rubanzasilva/ps-s04-e03-fastai", "kernel_id": "52700643"}, {"ref": "rzatemizel/the-hard-way-mini-ensembles-for-each-label-v-02", "kernel_id": "52124703"}, {"ref": "orestasdulinskas/steel-plate-defect-prediction", "kernel_id": "52380836"}, {"ref": "kulakovnikita/steel", "kernel_id": "52088515"}, {"ref": "ds150478/steel-plate-defect-detection", "kernel_id": "52632329"}, {"ref": "ndohmoise/defect-prediction-kfold-decisiontreeclassifier-83", "kernel_id": "52468225"}, {"ref": "ndohmoise/defect-prediction-kfold-randomforest-88", "kernel_id": "52414815"}, {"ref": "ndohmoise/defect-prediction-optuna-xgboost-87", "kernel_id": "52318433"}, {"ref": "yaaangzhou/pg-s4-e3-eda-modeling", "kernel_id": "52790879"}, {"ref": "chanchal24/steel-plate-defect-prediction-2", "kernel_id": "52796768"}, {"ref": "chanchal24/steel-plate-defect-prediction", "kernel_id": "52299429"}, {"ref": "pedromartnezbarrn/0-8918-lgbm-xgb-optuna", "kernel_id": "52311515"}, {"ref": "pedromartnezbarrn/0-88528-lgbm-xgboost", "kernel_id": "52109188"}, {"ref": "pedromartnezbarrn/0-86916-neuralnet-day-baseline", "kernel_id": "52174379"}, {"ref": "pedromartnezbarrn/gbt-0-758-baseline-model", "kernel_id": "52058711"}, {"ref": "pedromartnezbarrn/eda-detailed-dat-overview-insights", "kernel_id": "52022534"}, {"ref": "chunhsientsai/multiclass-feature-engineering-thoughts", "kernel_id": "52098004"}, {"ref": "alexmariosimanjuntak/steel-plate-defect-prediction-neural-network", "kernel_id": "52271735"}, {"ref": "benthebest/tuning-is-all-you-need", "kernel_id": "52093724"}, {"ref": "benthebest/ensemble", "kernel_id": "52559873"}, {"ref": "dantheshark/playground-series-s4e3", "kernel_id": "52809262"}, {"ref": "kuryakin/ps-s4e3-xgboost-cross-validation", "kernel_id": "52295378"}, {"ref": "vivekmotwani1410/steel-plate-boosting-ensembling", "kernel_id": "52399741"}, {"ref": "carloscll/votingclassifier-steel-plate-defect", "kernel_id": "52249683"}, {"ref": "triblex/boosting", "kernel_id": "52504783"}, {"ref": "aadityavardhan/lgbm-steeldefect", "kernel_id": "52556495"}, {"ref": "anopsy/visual-eda-steel-plate-defect-pred", "kernel_id": "52037619"}, {"ref": "anopsy/baseline-ensemble-steel-plate-defect-pred", "kernel_id": "52186343"}, {"ref": "sxjeru/mlr-lgbm-xgb-catb-mlp", "kernel_id": "52568501"}, {"ref": "jaymehta251203/steel-plate-defect-final-submit", "kernel_id": "52710412"}, {"ref": "eouedraogo4/plate-defect-xgb-lgbm-cat", "kernel_id": "52063969"}, {"ref": "eouedraogo4/plate-defect-xgb-lgbm-cat-optuna", "kernel_id": "52070610"}, {"ref": "marzenaczernous/steel-plate-eda-xgboost-is-all-you-need", "kernel_id": "52581223"}, {"ref": "cristhianccalah/steel-plate-defect-prediction-tf", "kernel_id": "52323871"}, {"ref": "habilamar/baseline-neural-network-s4e3-kaggle-playground", "kernel_id": "52040907"}, {"ref": "eishkaran/steel-plate-xgb", "kernel_id": "52214880"}, {"ref": "brmil07/defect-prediction", "kernel_id": "52099974"}, {"ref": "yunsuxiaozi/pss4e3-single-binary", "kernel_id": "52014999"}, {"ref": "gyogyocat/rf-xg-mlr-r-stack", "kernel_id": "52034247"}, {"ref": "gyogyocat/eda-by-r", "kernel_id": "52770835"}, {"ref": "sayalihatwar/steel-plate-defect-prediction", "kernel_id": "52576543"}, {"ref": "clayton21/ps4e3-steel-plate-defect-prediction-0-89575", "kernel_id": "52343141"}, {"ref": "tosh2ml/steel-plate-defect-detection-with-catboost", "kernel_id": "52364524"}, {"ref": "mateuszk013/playground-series-s4e03-steel-plates-faults", "kernel_id": "52745722"}, {"ref": "maxagrafa/steel-plate-defect", "kernel_id": "52834310"}, {"ref": "aryankalia17/steel-plate-defect-notebook", "kernel_id": "52240551"}, {"ref": "lucasrathgeb/xgboost-steel-plate-defects", "kernel_id": "52104285"}, {"ref": "itasps/ensemble-of-rf-xgboost-and-lgbm-0-89640", "kernel_id": "52215814"}, {"ref": "matthewsfarmer/tuned-lgbm-class-weights-simple", "kernel_id": "52117142"}, {"ref": "da1tan/lightautoml", "kernel_id": "52041842"}, {"ref": "aesedeu/s3e4-easy-neural-model", "kernel_id": "52595533"}, {"ref": "souravdatascience/delhi-metro-network-analysis", "kernel_id": "52421089"}, {"ref": "sundayamolegbe/customer-bahaviour-classification", "kernel_id": "52555102"}, {"ref": "kamal2026/simplest-nueral-network-prediction", "kernel_id": "52334358"}, {"ref": "akshaykhanna05/steel-plate-defect-akshay", "kernel_id": "52314356"}, {"ref": "vaishnavisirigiri/steel-plate-defect-prediction-playground-series", "kernel_id": "52773768"}, {"ref": "yuehengzeng/lightgbm-ps4e3", "kernel_id": "52976531"}, {"ref": "yuehengzeng/xgboost-ps4e3", "kernel_id": "52902540"}, {"ref": "yuehengzeng/tuning-and-ensemble-learning-ps4e3", "kernel_id": "52700445"}, {"ref": "nick33990/steel-plate-defects-mlp", "kernel_id": "52639357"}, {"ref": "martinapreusse/ps4e3-iterative-feature-engineering-r", "kernel_id": "52584953"}, {"ref": "martinapreusse/ps4e3-eda-orientation-index-r", "kernel_id": "52737287"}, {"ref": "kalpanagarige/steelplatedefectdetection", "kernel_id": "52472339"}, {"ref": "kimkijun7/steel-plate-defect-prediction-with-python", "kernel_id": "52205994"}, {"ref": "thomascreid/multilabel-classification-xgboost", "kernel_id": "52641817"}, {"ref": "mst923/ps4e3-eda-votingclassifier-0-8901", "kernel_id": "52145417"}, {"ref": "pairavithanancheyan/lgbm-baseline-7-targets-0-89052", "kernel_id": "52847333"}, {"ref": "divyam6969/steel-plate-defect-prediction-well-explained", "kernel_id": "52237836"}, {"ref": "dhruv5775/steel-plate-defect-by-dg5775", "kernel_id": "52206111"}, {"ref": "dhruv5775/notebook0a8b96529b", "kernel_id": "52013751"}, {"ref": "nikitavet/steel-defect-pipeline-ensemble-xgb", "kernel_id": "52246159"}, {"ref": "jmascacibar/what-if-it-s-just-noise", "kernel_id": "52953181"}, {"ref": "dishantkharkar/insights-into-steel-plate-defects-eda-notebook", "kernel_id": "52181132"}, {"ref": "shiaoc/steel-plate-defect-prediction", "kernel_id": "52793022"}, {"ref": "soyabulislamlincoln/steel-plate-defects-dimentionality-reduction", "kernel_id": "52208886"}, {"ref": "noepinefrin/0-89534-clustered-feature-lgbm-xgb-cat", "kernel_id": "52121392"}, {"ref": "mohitgupta12/steel-plate-defect-prediction-95-roc-score", "kernel_id": "52096722"}, {"ref": "muzammilbaloch/playgrounds4e03-pycaret-automl", "kernel_id": "52107861"}, {"ref": "curtiscoding1/steel-plate-defect-neural-networks", "kernel_id": "52237018"}, {"ref": "talhabarkaatahmad/ps4e3-tree-models", "kernel_id": "52429127"}, {"ref": "talhabarkaatahmad/ps4e3-data-processing", "kernel_id": "52273924"}, {"ref": "kkamal2003/steel-plate-defect-prediction", "kernel_id": "52024074"}, {"ref": "haideraqeeb/eda-lgbm-with-optuna", "kernel_id": "52220572"}, {"ref": "vaibhavac/steel-plate-s4e3-lgbm-xgb", "kernel_id": "52215544"}, {"ref": "krahul2024/steel-plate-defect-pred", "kernel_id": "52016977"}, {"ref": "lucacodes/steel-dataset", "kernel_id": "52617321"}, {"ref": "robertlasirona/steel-plate-defect-prediction", "kernel_id": "52879157"}, {"ref": "muhammadbakhsh277/steel-plate-faults-prediction", "kernel_id": "52667605"}, {"ref": "devbatrax/steel-plate-defect-prediction-xgb-easy-approach", "kernel_id": "52279831"}, {"ref": "akhilpm1996/steel-plate-defect-prediction-ann-h2oautoml", "kernel_id": "52029642"}, {"ref": "ravaghi/classifying-tabular-data-with-lightning-mlp", "kernel_id": "52051952"}, {"ref": "guilhermepoliveira/voting-with-5-models-beginner-friendly-89", "kernel_id": "52954343"}, {"ref": "thandox/steel-plate-defect-eda-crv", "kernel_id": "52200380"}, {"ref": "mouadenna/desnet121-conv1d-steel-plate-defect-prediction", "kernel_id": "52677102"}, {"ref": "hardikjp7/steel-plate-eda-and-xgboost", "kernel_id": "52595256"}, {"ref": "eastonlarson/steel-plate-defect-prediction", "kernel_id": "52053635"}, {"ref": "kingkcabir/steel-defect", "kernel_id": "52908827"}, {"ref": "codyjanderson/predict-steel-plate-defect", "kernel_id": "52044806"}, {"ref": "akashvenugopal99/steel-plate-prediction", "kernel_id": "52458409"}, {"ref": "hayatakakamukj/a-new-feature-improved-my-score", "kernel_id": "52005547"}, {"ref": "thimuthu96/steel-plate-defect-prediction", "kernel_id": "52973495"}, {"ref": "mfmfmf3/clean-code-steel-plate-fault", "kernel_id": "52938348"}, {"ref": "mfmfmf3/clean-code-steel-plate-defect-prediction", "kernel_id": "52864713"}, {"ref": "najeebz/defect-prediction-ensemble-xgboost-lgbm-catboost", "kernel_id": "52001980"}, {"ref": "igorvolianiuk/steel-plate-multiclass-xgb", "kernel_id": "52183609"}, {"ref": "umairabbasi6/used-random-forest-classifier", "kernel_id": "52035097"}, {"ref": "khushikhushikhushi/steel-plate-defect-detection", "kernel_id": "52105919"}, {"ref": "naokinozawa/catboost-simple-prediction", "kernel_id": "52037295"}, {"ref": "sunilkumaradapa/highest-score-kernel", "kernel_id": "52274650"}, {"ref": "ericmundt/simple-steel-plate-approach", "kernel_id": "52758767"}, {"ref": "ustcer1984/steel-plate-pca-auto-selection-and-effect-s4e3", "kernel_id": "52575628"}, {"ref": "ustcer1984/steel-plate-rf-xgb-lgbm-model-explaination-s4e3", "kernel_id": "52013069"}, {"ref": "ustcer1984/steel-plate-effect-of-adding-original-data-s4e3", "kernel_id": "52109179"}, {"ref": "ustcer1984/steel-plate-drop-unimportant-features-s4e3", "kernel_id": "52218932"}, {"ref": "ustcer1984/steel-plate-data-balance-effect-s4e3", "kernel_id": "52193620"}, {"ref": "chaozhuang/ps4e03-tree-based-models-ensemble-sub", "kernel_id": "52469340"}, {"ref": "sergeydeev/steel-plate-defect-with-tfdf", "kernel_id": "52140190"}, {"ref": "yorkyong/defective-steel-plate-lgbm", "kernel_id": "52141201"}, {"ref": "yorkyong/defective-steel-plate-catboost", "kernel_id": "52146198"}, {"ref": "yorkyong/defective-steel-plate-ensemble", "kernel_id": "52147349"}, {"ref": "yorkyong/defective-steel-plate-xgboost", "kernel_id": "52107751"}, {"ref": "deepakarjay/simple-fast-ai-model", "kernel_id": "52205899"}, {"ref": "surajsundar15/defectdetectionsteelplate", "kernel_id": "52037022"}, {"ref": "ilanbacry/cross-validation-hyperpara-tuning-binary-relevance", "kernel_id": "52913677"}, {"ref": "yaswith/steel-plate-prediction", "kernel_id": "52017893"}, {"ref": "shikhargoel4942/steel-plate-defect-detection", "kernel_id": "52633910"}, {"ref": "gourabr0y555/s4e3-random-forests", "kernel_id": "52827836"}, {"ref": "sakshamsikri8/notebookebc5a2ae74", "kernel_id": "52890680"}, {"ref": "bhavyabhalla2701/steel-plate-defect-bhavya-bhalla", "kernel_id": "52153891"}, {"ref": "grandmastershaurya/model-of-steel-defect-prediction", "kernel_id": "52285422"}, {"ref": "raykdoyle/steel-plate-defect-prediction", "kernel_id": "52061095"}, {"ref": "parulkumartiet/multiclassbypk", "kernel_id": "52171587"}, {"ref": "ddxclbri/pgs4e3-nn-pytorch-loss-and-feature", "kernel_id": "52390463"}, {"ref": "roberttemarvelde/steel-plate-defect-prediction-tf-sequential-2", "kernel_id": "52777178"}, {"ref": "roberttemarvelde/steel-plate-defect-prediction-xgbclassifier", "kernel_id": "52362357"}, {"ref": "profodonnell/steel-plate-detection-dsc783", "kernel_id": "52855362"}, {"ref": "fancifulcrow/ps-s04e03-ann", "kernel_id": "52309132"}, {"ref": "xpranav/notebook-1-version-2", "kernel_id": "52564229"}, {"ref": "yaosun1/are-you-a-steel-plate", "kernel_id": "52243429"}, {"ref": "ryotayoshizawa/ps04e03-eda-quantile-plot", "kernel_id": "52705064"}, {"ref": "cv13j0/steel-plate-defect-prediction-ml-model", "kernel_id": "53309794"}, {"ref": "arosielle/steelplate-keras-multilabel", "kernel_id": "53522979"}, {"ref": "manojajj/logistic-regression", "kernel_id": "53457335"}, {"ref": "manojajj/neural-networks", "kernel_id": "53514456"}, {"ref": "manojajj/simplified-model-neural-network", "kernel_id": "53608527"}, {"ref": "aspillai/steel-plate-defect-binary-xgboost-0-89590", "kernel_id": "53271535"}, {"ref": "ankurgarg04/5th-place-solution-steel-plate-fault-detection", "kernel_id": "53685898"}, {"ref": "herczeggyrgy/i-just-wanted-to-automate", "kernel_id": "53171403"}, {"ref": "nhormann/catboost-hyp-pre-last-submission-top-33", "kernel_id": "53643316"}, {"ref": "nhormann/new-features-original-data-top-31", "kernel_id": "53646803"}, {"ref": "nhormann/catboost-imblearn-applied-to-other-faults-target", "kernel_id": "53526328"}, {"ref": "nhormann/a-top-40-analysis-features-rocauc-per-target", "kernel_id": "53310445"}, {"ref": "nhormann/a-top-40-baseline-in-2-multioutput-catboost", "kernel_id": "53243416"}, {"ref": "avannigudimetla/steel-plate-defect", "kernel_id": "53541192"}, {"ref": "chatapoorv/eda-miltilabelclassification-using-catboost", "kernel_id": "53595263"}, {"ref": "pollicio/spd-multi-label-xgboost", "kernel_id": "53479437"}, {"ref": "pollicio/ps4e3-easysol-with-eda-chile", "kernel_id": "53467442"}, {"ref": "ivanblch/seminar9", "kernel_id": "53684257"}, {"ref": "ivanblch/seminar8", "kernel_id": "53470277"}, {"ref": "ivanblch/seminar6", "kernel_id": "53099411"}, {"ref": "ivanblch/seminar7", "kernel_id": "53313086"}, {"ref": "shwetalishimangaud/pytorch-tabnet-multi-class-classifier-score-0-85", "kernel_id": "53637537"}, {"ref": "mehrankazeminia/ps4e3-steel-defect-regressor-chain", "kernel_id": "53679797"}, {"ref": "anrenk/steel-plate-defect", "kernel_id": "53551854"}, {"ref": "anrenk/steel-plate-defect-neural-net", "kernel_id": "53557246"}, {"ref": "sanjaylalwani/steel-plate-defect", "kernel_id": "53011135"}, {"ref": "aditya1220/tf-decisionforest-modelcomparison", "kernel_id": "53474953"}, {"ref": "josiagiven/plate-defect-detection", "kernel_id": "53589374"}, {"ref": "hikarumoriya/steel-plate-with-lgbm-baseline", "kernel_id": "53396416"}, {"ref": "iamtheguy/steel-plate-defect", "kernel_id": "53049601"}, {"ref": "asheniranga/quality-of-steel-plates-0-88512-in-private-lb", "kernel_id": "53503970"}, {"ref": "ikramur/steel-plate-defect-prediction-using-xgboost", "kernel_id": "53294980"}, {"ref": "miyawakiyoshifumi/ngboost", "kernel_id": "53487933"}, {"ref": "umairinayat/steel-plate-easy-logistic-regression-86-2", "kernel_id": "53574520"}, {"ref": "haroon669/steel-plate-defect-prediction-with-roc-auc", "kernel_id": "53258709"}, {"ref": "haroon669/steel-defect-prediction-xgbclassifier", "kernel_id": "53623655"}, {"ref": "andremitri/multioutput-optuna-3-classifiers", "kernel_id": "53304821"}, {"ref": "eldarsarajlic/simple-steel-plate-prediction-multiple-models", "kernel_id": "53473208"}, {"ref": "yunqicao/2nd-place-solution-steel-plate-defect-prediction", "kernel_id": "53692029"}, {"ref": "enisezengin/platedefect", "kernel_id": "53448306"}, {"ref": "tahaakbarialvanagh/steel-plate-trees", "kernel_id": "53362267"}, {"ref": "maciejgolik/playgrounds04e03", "kernel_id": "53625659"}, {"ref": "hosseinrostami128/steel-plate-prediction-xgboost-90-32", "kernel_id": "53465775"}, {"ref": "mahdiasghari5731/lgbm-catboost-xgb-eda-accuracy-0-8940", "kernel_id": "53039033"}, {"ref": "subhiarjaria09/steelprediction", "kernel_id": "53567445"}, {"ref": "rohansardar/steel-plate-defect-easy-8-8-9-catboost", "kernel_id": "53543368"}, {"ref": "rohansardar/steel-plate-defect-detection-lightgbm", "kernel_id": "53337205"}, {"ref": "muhannadmansour/ps4-23-steel-vision-predicting-plate-defects", "kernel_id": "53094334"}, {"ref": "feshchenkkko/steel-plates-faults-prediction-mlp-classifier", "kernel_id": "53126975"}, {"ref": "samvelkoch/s4e3-interactive-shake-up-plot", "kernel_id": "53698544"}, {"ref": "miraclessz/steel-plate-defect-ensemble-five-models", "kernel_id": "53426865"}, {"ref": "satvik7/steel-plate-defect-prediction", "kernel_id": "53554493"}, {"ref": "pedromartnezbarrn/redemption-notebook", "kernel_id": "53516477"}, {"ref": "kriti264/steel-plate-defect-prediction", "kernel_id": "53714275"}, {"ref": "karthiprasad04/steel-plate-detection", "kernel_id": "53344117"}, {"ref": "aaradhyabadal/one-label-at-a-time", "kernel_id": "53287565"}, {"ref": "abhayku2002/defect-prediction-data-analysis-beginner", "kernel_id": "53005862"}, {"ref": "mousemice/playground-s4e3-steel-plate-defect-prediction", "kernel_id": "53057389"}, {"ref": "fajemisinadeniyi/multilabel-classification", "kernel_id": "53578707"}, {"ref": "ajaswanthkiran/comp-steel", "kernel_id": "53540206"}, {"ref": "natchaphonkamhaeng/pg-s04-e03-steel-plate-defect-classification", "kernel_id": "53588419"}, {"ref": "anirudhnair122/notebook8395fa8474", "kernel_id": "53599018"}, {"ref": "vanpatangan/steel-plate-defect-prediction-lgbm-multiclass", "kernel_id": "53063076"}, {"ref": "hardikgarg03/steel-plate-defect-detection", "kernel_id": "53320057"}, {"ref": "benzilla987/ps-s4-ep3-eda-modeling-submission", "kernel_id": "53615229"}, {"ref": "endritmustafa/steelplateprediction", "kernel_id": "53403648"}, {"ref": "endofnight17j03/plate-defect-89-xgboost-catboost", "kernel_id": "53297826"}, {"ref": "annack/steel-plate-defect-prediction-ensembling", "kernel_id": "53203333"}, {"ref": "atharva0577/s4e3-7-1-targets-lgbm-xgb-optuna", "kernel_id": "53191872"}, {"ref": "trupologhelper/ps4e3-score-0-89651-quick-eda-simple-xgboost", "kernel_id": "53631247"}, {"ref": "habilamar/xgboost-kaggle-playground-s4e3", "kernel_id": "53297983"}, {"ref": "habilamar/ensemble-kaggle-playground-s4e3", "kernel_id": "53130880"}, {"ref": "shantanugupta2004/steel-plate-xgboost-hyperparameter-0-893-score", "kernel_id": "53279782"}, {"ref": "shaikhabdulrafay03/steel-plate", "kernel_id": "53500905"}, {"ref": "khan1803115/steel-plate-defect-prediction", "kernel_id": "53489690"}, {"ref": "baraiyaashish/solution-using-deep-learning", "kernel_id": "53523432"}, {"ref": "da1tan/pyboost-lb-0-89397", "kernel_id": "53450907"}, {"ref": "maheshmani13/steel-plate-defect-prediction", "kernel_id": "53451466"}, {"ref": "harshavardhanpatil64/eda-outliers-catboost-xgb-optuma-steel-plate", "kernel_id": "53520555"}, {"ref": "nishantttt/steel-eda", "kernel_id": "53564338"}, {"ref": "satyajeetbedi/easy-steel-plate-defect-prediction", "kernel_id": "53820047"}, {"ref": "kashish50/steelplatedefect-0-87", "kernel_id": "53663846"}, {"ref": "rohangulati14/best-solution-steel-plate-detection", "kernel_id": "53465160"}, {"ref": "rohangulati14/steel-plate-detection-prediction-easy-solution", "kernel_id": "53356147"}, {"ref": "rohangulati14/steel-plate-defect-prediction-best-solution", "kernel_id": "53334935"}, {"ref": "divyam6969/easy-steel-plate-defect-prediction", "kernel_id": "53379324"}, {"ref": "divyam6969/steel-plate-defect-problem-best-solution", "kernel_id": "53240752"}, {"ref": "coinshot/steel-plate-defect-prediction", "kernel_id": "53341135"}, {"ref": "rohinisukumar/steel-plate-defect-prediction-eda-xgboost", "kernel_id": "53654744"}, {"ref": "abhinavvvvvvvvvv/steel-plate-defect", "kernel_id": "53983131"}, {"ref": "chaitanyasood1/steel-plates-defects", "kernel_id": "53488750"}, {"ref": "affankhan8499/steel-plate-defect-prediction-with-ml-and-dl", "kernel_id": "53577477"}, {"ref": "abhinandansharma19/ps4e3-easysol-with-eda", "kernel_id": "53449297"}, {"ref": "rgarg1234/steel-plate-defect-prediction-xgboost", "kernel_id": "53548527"}, {"ref": "nagendra048/steel-plate-defect-detection", "kernel_id": "53435781"}, {"ref": "heehaw/spd-fnn-87-97-accuracy", "kernel_id": "53577893"}, {"ref": "vaibhavac/steel-plate-s4e3-neural-network-keras-multilabel", "kernel_id": "53142699"}, {"ref": "pulkittarora/steel-plate-using-lgbm-xgb-optimize-weighting", "kernel_id": "53543297"}, {"ref": "prabalkhangura/steel-plate-defect", "kernel_id": "53812480"}, {"ref": "ikjotsingh221/steeltpotnn", "kernel_id": "53528545"}, {"ref": "guilhermepoliveira/easy-notebook-for-beginners", "kernel_id": "53832782"}, {"ref": "varadagupta/steal-plate-defects-varada", "kernel_id": "53351314"}, {"ref": "raghavdargan/steel", "kernel_id": "53735739"}, {"ref": "mclegend/steel-plate-defect-prediction", "kernel_id": "53561422"}, {"ref": "sanchibatra/steel-plate-defect-detection", "kernel_id": "53519113"}, {"ref": "abdmental01/ps4e3-light-gbm-pycaret-clean-solution", "kernel_id": "53167198"}, {"ref": "mfmfmf3/steel-plate-with-pytorch", "kernel_id": "53314389"}, {"ref": "fanhuaiyuan/simple-nn-solution", "kernel_id": "53174063"}, {"ref": "lorenzojayd/s4e3-steel-plate-defect-xgboost", "kernel_id": "53117933"}, {"ref": "mehakiftikhar/ps4e3-steel-defect-prediction-xgboost", "kernel_id": "53213759"}, {"ref": "nzhabchikov/kaggle-s4e3-xgboost-lightgbm-catboost-optuna", "kernel_id": "53291253"}, {"ref": "rassiem/steel-plate-defect", "kernel_id": "53330143"}, {"ref": "akoirala111/defect-prediction-in-steel", "kernel_id": "53725631"}, {"ref": "ismailaliahmed/steel-plate-defect-prediction-notebook-competition", "kernel_id": "53225526"}, {"ref": "cestdulait/ps4e3-ez-multi-classify", "kernel_id": "53439014"}, {"ref": "josephmargaryan/multilabel", "kernel_id": "53157626"}, {"ref": "putupadmanaba231/steel-plate", "kernel_id": "53446336"}, {"ref": "rahimkk/steel-plate-defect-prediction", "kernel_id": "53098514"}, {"ref": "tanayatipre/steel-plate-defect-detection", "kernel_id": "53575262"}, {"ref": "nichanderson/steel-plate-classification-with-a-blended-model", "kernel_id": "53135690"}, {"ref": "r1zard9k/steel-plate-competition-v2", "kernel_id": "53544908"}, {"ref": "matveevaanna/busting", "kernel_id": "53648680"}, {"ref": "maehashitatsuya/maehashi-submission-419", "kernel_id": "53177122"}, {"ref": "yehongyi/xgboost-hyperparameter-tuning-0-89187", "kernel_id": "53275115"}, {"ref": "nawarajbhujel/notebook-copy-of-competition", "kernel_id": "53570861"}, {"ref": "gourabr0y555/s4e3-random-forest-eda-importance-plots", "kernel_id": "53388118"}, {"ref": "gourabr0y555/s4e3-catboost-eda-importance-plots", "kernel_id": "53233533"}, {"ref": "rijuljain2003/steelplatedetect-rijul", "kernel_id": "53497700"}, {"ref": "rijuljain2003/notebookebd55a0cbb", "kernel_id": "53497144"}, {"ref": "samarjeetsinghgandhi/xgboost-steel-plate-easy", "kernel_id": "53491430"}, {"ref": "samarjeetsinghgandhi/catboost-88-8-easy-steel-plate", "kernel_id": "53493027"}, {"ref": "samarjeetsinghgandhi/steel-plate-easy-logistic-regression-86-2", "kernel_id": "53543714"}, {"ref": "siddhantjain03/steel-plate-using-logistic-regression", "kernel_id": "53817926"}, {"ref": "parvez0khan/steel-plate-defect-prediction", "kernel_id": "53514174"}, {"ref": "jsonali2003/steel-plate-defect-prediction", "kernel_id": "53262866"}, {"ref": "juuudy/multioutputclassifier-cat-bayesianoptimization", "kernel_id": "53663895"}, {"ref": "aaronfriasr/steel-plate-defects-starter-eda", "kernel_id": "53889498"}, {"ref": "rahelghebrekidan/ragh-c2", "kernel_id": "53314037"}, {"ref": "darshjaganmohan/steel-plate-defect-prediction", "kernel_id": "53086174"}, {"ref": "yuvam21/steel-plate-defect-detection21", "kernel_id": "53498083"}, {"ref": "kirilltereshin/playground-series-s4e3", "kernel_id": "53640562"}, {"ref": "jamespairepo/easy-steel-plate-defect-prediction", "kernel_id": "53390060"}, {"ref": "cdr0101/steelplatedefectprediction", "kernel_id": "53543065"}, {"ref": "vivinamalraj/steel-plate-defect-prediction-0-88256", "kernel_id": "53564578"}, {"ref": "adepvenugopal/steel-plate-defect-prediction", "kernel_id": "54270125"}, {"ref": "carljvh/steel-xgb-optuna-late", "kernel_id": "54743186"}, {"ref": "vitalykapranoff/plates-catboost", "kernel_id": "54197423"}, {"ref": "mohamedtahaouf/predict-the-age-of-abalone-ml", "kernel_id": "54076674"}, {"ref": "mannatpruthi/steel-plate-defect-prediction", "kernel_id": "54288517"}, {"ref": "harshambasta01/humanvshorse-prac", "kernel_id": "54028986"}, {"ref": "sanyamgoyal401/eda-steel-plate-deflection", "kernel_id": "54325889"}, {"ref": "sanyamgoyal401/steel-plate-deflection-neural-network", "kernel_id": "54480778"}, {"ref": "reaperlethal/steel-plate-defect-prediction", "kernel_id": "54199448"}, {"ref": "prajwalkanade/steel-plate-defect-prediction", "kernel_id": "54124268"}, {"ref": "anubhavsood/steelplatedefect-prediction", "kernel_id": "54592133"}, {"ref": "tarushirastogi/steelplatedefects", "kernel_id": "54047657"}, {"ref": "akshita0560/steel-plate-defect", "kernel_id": "54841609"}, {"ref": "amanaayush/steel-plate-prediction", "kernel_id": "54306526"}, {"ref": "electronicwolf/notebook5aadadbe3d", "kernel_id": "54719388"}, {"ref": "nitleenk/steel-plate-defect-prediction", "kernel_id": "54286893"}, {"ref": "ishaangaba17/steel-plate-easy-soln-catboost", "kernel_id": "54051564"}, {"ref": "gamablobyt/steel-plate-defect-using-xgboost-classifier", "kernel_id": "54680360"}, {"ref": "neelakshigupta/steel-plate-defect-prediction", "kernel_id": "54226550"}, {"ref": "ikjotsingh221/steelensembleusingmean", "kernel_id": "54821063"}, {"ref": "harbandanakaur/steel-plate-defect-prediction", "kernel_id": "54736824"}, {"ref": "yatharthgautam123789/steel-plate-defect-prediction", "kernel_id": "54136258"}, {"ref": "ishita1802/steel-plate-defect", "kernel_id": "54632104"}, {"ref": "lookitskhushboo/notebook774e648b38", "kernel_id": "54219862"}, {"ref": "joyygoswami/steelplatedefect", "kernel_id": "54688292"}, {"ref": "harshitrajpal2508/steel", "kernel_id": "54683871"}, {"ref": "somendrew/xgboost-steel-plate-defect-prediction", "kernel_id": "54403253"}, {"ref": "adityav32/notebook76923f714f", "kernel_id": "54799203"}, {"ref": "jayantdon/steel-plate-defect-detection", "kernel_id": "54219794"}, {"ref": "thiagokoscak/steelplate-xgb-0-88197", "kernel_id": "54900554"}, {"ref": "sakshamsikri8/submission-notebook", "kernel_id": "54264957"}, {"ref": "sakshigoyal001/steelplate", "kernel_id": "54199655"}, {"ref": "nrng19/steel-plate-defect", "kernel_id": "54263065"}, {"ref": "bhavikasaini/steel-plate-defect-using-catboost", "kernel_id": "54008841"}, {"ref": "simarjeetsingh11/notebook8e4a40b22e", "kernel_id": "54417029"}, {"ref": "simarjeetsingh11/notebook7f793504f0", "kernel_id": "54580932"}, {"ref": "anthonyktchang/fork-of-xgbregressor-dropping-the-id", "kernel_id": "54374151"}, {"ref": "mitarashi0909/steel-plate-defect-prediction", "kernel_id": "54996551"}, {"ref": "tanishas2024/steel-plate", "kernel_id": "54002969"}, {"ref": "arsteni/submission-notebook", "kernel_id": "54232164"}, {"ref": "bentoplyer/steel-notebook", "kernel_id": "54265393"}, {"ref": "aditivij/steel-defect-prediction", "kernel_id": "54631593"}, {"ref": "docxian/leap-climsim-visual-eda", "kernel_id": "55002537"}, {"ref": "afj123/03-yyy", "kernel_id": "55052142"}, {"ref": "engamohammed/steel-plate-defect-prediction", "kernel_id": "55975367"}, {"ref": "japleenkaurbedi/steel-plate", "kernel_id": "55119891"}, {"ref": "jatinthakur706/steel-plate-defect-detection-rfclassifier", "kernel_id": "55555347"}, {"ref": "jasmeet0516/steel-plate-defect", "kernel_id": "55536178"}, {"ref": "abdmental01/unlocking-insights-obesity-risk-analysis", "kernel_id": "55508422"}, {"ref": "ananyagupta184/steelplatedefectprediction", "kernel_id": "55143518"}, {"ref": "chirag2306/steel-plate-defect-chirag-garg", "kernel_id": "55083757"}, {"ref": "kuriyamashiro/steel", "kernel_id": "56615616"}, {"ref": "yahia21/mining-project-xgb1", "kernel_id": "56157909"}, {"ref": "mohannadtaman/random-forest-classifier-final", "kernel_id": "56161556"}, {"ref": "cardata/steel-plate-defect-prediction-analysis", "kernel_id": "56831814"}, {"ref": "sebastinazamaravils/steel-plate", "kernel_id": "56680928"}, {"ref": "ivanblch/seminar-7-blending", "kernel_id": "57076075"}, {"ref": "malakraaof/final-el-final-el-final", "kernel_id": "57468366"}, {"ref": "yahia21/mining-neural", "kernel_id": "57447058"}, {"ref": "yahia21/mining-project-xgb2-removed-feature", "kernel_id": "57366190"}, {"ref": "cardata/steel-plate-defect-predictn-03", "kernel_id": "57565014"}, {"ref": "cardata/steel-plate-defect-predictn-01", "kernel_id": "57552566"}, {"ref": "samboz/final-el-final-el-final", "kernel_id": "57465715"}, {"ref": "samboz/a5er-wa7da", "kernel_id": "57434810"}, {"ref": "samboz/tarsh-steel-and-baga3a", "kernel_id": "57205327"}, {"ref": "error432hz/notebookdeb5128f19-spbu", "kernel_id": "57812139"}, {"ref": "yazeedalsahouri03/steel-plate-defect-prediction", "kernel_id": "58612345"}, {"ref": "iuliancoman/notebook9f02f3ceca", "kernel_id": "58744213"}, {"ref": "dhumlag/dhu-mlag-steel-plate-defect-prediction", "kernel_id": "58815176"}, {"ref": "batalintercasa/steel-plate-defect-prediction", "kernel_id": "59212340"}, {"ref": "eliyahusanti/steel-plates-faults", "kernel_id": "60782629"}, {"ref": "adelkhadher/steel-plate-defect-prediction", "kernel_id": "61142339"}, {"ref": "kuldeept/notebookfa84c71c82", "kernel_id": "64259687"}, {"ref": "imeshgunathilaka/keras-neural-network-solution", "kernel_id": "64593402"}, {"ref": "surajwate/s4e3-streel-plate-defect", "kernel_id": "65844096"}, {"ref": "metinhsimimi/steel-plate-defect-prediction", "kernel_id": "65635342"}, {"ref": "trevorhorner/steel-defect-exploration", "kernel_id": "68927198"}, {"ref": "grantgonnerman/steel-plate-defect-eda", "kernel_id": "68361896"}, {"ref": "eastonlarson/steel-plate-defect-exploratory-analysis", "kernel_id": "68495867"}, {"ref": "codyjanderson/steel-plate-exploratory-analysis", "kernel_id": "68867331"}, {"ref": "daisyarce/class-kaggle-project-3", "kernel_id": "68919772"}, {"ref": "mjmagno/steel-plate-defect-eda", "kernel_id": "68727589"}, {"ref": "youssifshaabanqzamel/steel-plate-defect-prediction-0-88838-auc-score", "kernel_id": "69959450"}, {"ref": "brianolave/kaggle-assignment-4", "kernel_id": "69062552"}, {"ref": "mattbaker7/class-kaggle-assignment", "kernel_id": "69098790"}, {"ref": "rizaihamj/notebookf754103fa8", "kernel_id": "69070234"}, {"ref": "cheven/notebookd373c43b4f", "kernel_id": "69102778"}, {"ref": "wellj7/kaggle-project-3", "kernel_id": "69051159"}, {"ref": "sasssad/steel-plates", "kernel_id": "71547861"}, {"ref": "jiayuanfoo/ravenous-steel", "kernel_id": "79767411"}, {"ref": "albinocroc/steel-plate-defect-prediction", "kernel_id": "81748606"}, {"ref": "peterzenin/notebook0fccd669b4", "kernel_id": "83833916"}, {"ref": "harshpdsingh/steel-defect-prediction", "kernel_id": "83327257"}, {"ref": "arijitduttacsit/tata-steel-defect-detection-system", "kernel_id": "83994506"}, {"ref": "nghianguyentuan/zeroshot", "kernel_id": "86084727"}, {"ref": "gamalosama/steel-plate-defect", "kernel_id": "88927668"}, {"ref": "rezguimohamedmotaz/steel-plate-defect-prediction", "kernel_id": "88164681"}, {"ref": "ouzhanakr/late-submission-ps-s4e3-xgboost-optuna", "kernel_id": "89158043"}, {"ref": "samlakhmani/89-18-s4e3-lgbm-simple-solution", "kernel_id": "94243726"}, {"ref": "samlakhmani/s4e3-exp2-lightgbm", "kernel_id": "94161716"}, {"ref": "samlakhmani/s4e3-exp1-autoencoder", "kernel_id": "94115064"}, {"ref": "chrangaswamyreddy/steel-plate-defect-prediction", "kernel_id": "94798917"}, {"ref": "varunmittapalli/steel-plate-defect-prediction", "kernel_id": "94948736"}, {"ref": "srinathreddy2027/classification-steel", "kernel_id": "95059084"}, {"ref": "kumudithasilva/steel-plate-multi-label-classification", "kernel_id": "100164239"}, {"ref": "jjurou/cleaning-steel-plate-defect", "kernel_id": "103423204"}, {"ref": "handeharmankaya/steel-plate-defect-prediction", "kernel_id": "103880147"}, {"ref": "jjurou/qc-pareto-chart-steel-plate", "kernel_id": "104043643"}, {"ref": "enesyama/steelplatedefectprediction-classification", "kernel_id": "105738029"}, {"ref": "serdaronal/steel-plate-defect-prediction", "kernel_id": "117661187"}, {"ref": "zqx960151285/steel-plate-defect-prediction", "kernel_id": "129709890"}, {"ref": "ugakkuku/steel-plate-defect-prediction", "kernel_id": "134567746"}]}
{"competition_id": "68712", "kernels": []}
{"competition_id": "68767", "kernels": []}
{"competition_id": "68774", "kernels": []}
{"competition_id": "68798", "kernels": []}
{"competition_id": "68803", "kernels": []}
{"competition_id": "68807", "kernels": [{"ref": "draspopov/skab-baseline", "kernel_id": "50503840"}]}
{"competition_id": "68811", "kernels": []}
{"competition_id": "68834", "kernels": [{"ref": "akokoo/2da-data-lgbm-eda", "kernel_id": "50580411"}]}
{"competition_id": "68890", "kernels": [{"ref": "spikey19/vortexsubmission", "kernel_id": "50614853"}, {"ref": "raghavgarg12/vortex-1-0-00013-upvote", "kernel_id": "50644305"}, {"ref": "sundayabraham/vortex", "kernel_id": "50630402"}, {"ref": "piyush1234ggfuvi/vortex-102103413", "kernel_id": "50688211"}, {"ref": "adityav32/browncoder-py", "kernel_id": "50616109"}, {"ref": "adityav32/browncoder-r", "kernel_id": "50619650"}, {"ref": "tanmaitallam/vortex", "kernel_id": "50662257"}]}
{"competition_id": "68893", "kernels": []}
{"competition_id": "68914", "kernels": []}
{"competition_id": "68921", "kernels": []}
{"competition_id": "68924", "kernels": []}
{"competition_id": "68933", "kernels": []}
{"competition_id": "69031", "kernels": []}
{"competition_id": "70052", "kernels": [{"ref": "docxian/ml-olympiad-smoking-detection-exploration", "kernel_id": "50691335"}, {"ref": "stpeteishii/predict-smoker-lgbm-with-optuna", "kernel_id": "50857503"}, {"ref": "sanlian/first-look-eda-and-variables-target-correlations", "kernel_id": "50807798"}, {"ref": "agshiv92/ml-olympiad-beginner-friendly-eda-and-submission", "kernel_id": "50848946"}, {"ref": "zesulank/ml-olympiad-tensorflow-analysis", "kernel_id": "50685434"}, {"ref": "ravi20076/mlolympiad2024-eda-baseline", "kernel_id": "50815337"}, {"ref": "isaacbmiller/ml-olympiad-basic-eda-lgbm-template", "kernel_id": "50711035"}, {"ref": "pranav28/smoking-olympiad", "kernel_id": "50811838"}, {"ref": "realshaktigupta/smoking-prediction-3rd-place-solution", "kernel_id": "50738580"}, {"ref": "akokoo/ml-olympiad-model-tuning-data-xgboost-eda", "kernel_id": "50590102"}, {"ref": "juniorbertrand/ml-olympiad-one-line-solution-trick", "kernel_id": "50792381"}, {"ref": "sturarods/ml-olympiad-gridsearch-to-good-score", "kernel_id": "50823843"}, {"ref": "himanshuydv11/smoking-olympiad", "kernel_id": "50975650"}, {"ref": "jimgruman/smoking-accuracy", "kernel_id": "51010173"}, {"ref": "soumyadeepdas2802/smoking-detection-ml-olympiad", "kernel_id": "51040238"}, {"ref": "agshiv92/beginner-friendly-eda-modeling-submission-s4e03", "kernel_id": "52173566"}, {"ref": "aadarshvelu/smoker-status", "kernel_id": "52573462"}, {"ref": "gurmeharsinghvirdi/xgboost-randsearchcv", "kernel_id": "52236482"}, {"ref": "rohansardar/5th-position-solution", "kernel_id": "53325860"}, {"ref": "docxian/ps-s4-e07-insurance-cross-selling", "kernel_id": "61333297"}, {"ref": "abhranilduttaabhi/clear-signals-using-data-to-detect-smoking-behavi", "kernel_id": "70197753"}]}
{"competition_id": "70065", "kernels": []}
{"competition_id": "70068", "kernels": [{"ref": "goodspellr/checking-your-bracket-for-errors", "kernel_id": "51943439"}, {"ref": "goodspellr/creation-evaluation-of-historical-portfolio", "kernel_id": "51853899"}, {"ref": "jaredcross/making-a-chalk-bracket-in-r", "kernel_id": "51722547"}, {"ref": "aleixgim/starter-notebook-exact-scores-from-2023", "kernel_id": "51843190"}, {"ref": "kaito510/1xgold-2xsilvers-key-ingredient", "kernel_id": "51668159"}, {"ref": "toshimelonhead/ncaa-march-madness-sabermetric-spin-v3", "kernel_id": "51666289"}, {"ref": "tcordeu/march-madness-2024", "kernel_id": "51889899"}, {"ref": "stpeteishii/mmlm-create-db-and-make-query", "kernel_id": "51759967"}, {"ref": "samdaltonjr/preliminary-preds-into-bracket", "kernel_id": "51733560"}, {"ref": "mpwolke/tenth-annual-march-mania-2024", "kernel_id": "51712484"}, {"ref": "shrutidceit/analyzing-32-input-files-schema", "kernel_id": "51834651"}, {"ref": "beckpro/previous-2022-xgboost-solution-simple-submission", "kernel_id": "51806850"}, {"ref": "alexanderholmberg/getting-started-eda-on-data-section-1", "kernel_id": "51690424"}, {"ref": "lennarthaupts/simulate-n-brackets", "kernel_id": "51824868"}, {"ref": "sudharsang/march-madness", "kernel_id": "51775536"}, {"ref": "kapturovalexander/kapturov-s-march-ml-mania-2024", "kernel_id": "51720902"}, {"ref": "shivamardeshna/forecasting-basketball-tournaments", "kernel_id": "51839788"}, {"ref": "ryanchew1/getting-started-with-madness", "kernel_id": "51678996"}, {"ref": "publicmikewang/ncaa2024-m-sep", "kernel_id": "51721991"}, {"ref": "karnakbaevarthur/ncaa-2024", "kernel_id": "51905082"}, {"ref": "vinit0714/march-mania-bracket-predictor", "kernel_id": "51918407"}, {"ref": "lwolwo/mmlm-2024-starter-notebook", "kernel_id": "51717049"}, {"ref": "bhanupratapbiswas/march-machine-learning-mania-2024", "kernel_id": "51934423"}, {"ref": "nifleisch/get-on-the-board", "kernel_id": "51822686"}, {"ref": "nifleisch/setting-up-the-evaluation", "kernel_id": "51840876"}, {"ref": "taichiuemura/mmlm2024-dummy-submission", "kernel_id": "51736525"}, {"ref": "taichiuemura/mmlm2024-eda", "kernel_id": "51810866"}, {"ref": "fanhuaiyuan/raw-understading", "kernel_id": "51860583"}, {"ref": "cascarino/mmlm-eda-started-ml-soon", "kernel_id": "51847634"}, {"ref": "loganhegler/defense-wins-championships-or-does-it", "kernel_id": "51735136"}, {"ref": "goodspellr/seed-benchmark-submission", "kernel_id": "52265468"}, {"ref": "kaito510/updated-1xgold-2xsilvers-key-ingredient", "kernel_id": "52994964"}, {"ref": "raddar/ncaa-2024", "kernel_id": "52954205"}, {"ref": "robikscube/machine-learning-bracket-gpu-powered", "kernel_id": "52167225"}, {"ref": "tcashion/simulate-n-brackets-with-pruning-post-processing", "kernel_id": "52193572"}, {"ref": "rsa013/simulate-n-brackets-before-2023", "kernel_id": "52175730"}, {"ref": "zerg468/regular-season-elo-ratings", "kernel_id": "52952059"}, {"ref": "saurav9786/01-eda-machine-learning-mania-2024", "kernel_id": "52518897"}, {"ref": "pollicio/starter-notebook-exact-scores-from-2024", "kernel_id": "52190583"}, {"ref": "shrutidceit/bracket-simulation-explained", "kernel_id": "52517975"}, {"ref": "nadhirhasan/teamprofile-based-submission", "kernel_id": "52893938"}, {"ref": "bunny11/exact-scores-from-2023-to-2024-by-gurpreetsingh", "kernel_id": "52089430"}, {"ref": "andrewpolar/machine-learning-madness-2024-ap", "kernel_id": "52961650"}, {"ref": "lennarthaupts/calculate-elo-ratings", "kernel_id": "52155439"}, {"ref": "yowamishi/march-madness-2024", "kernel_id": "52715271"}, {"ref": "tannerstaggs/simulate-based-on-lr-model", "kernel_id": "52959518"}, {"ref": "kylereynolds/notebooka2f3fdf3a5", "kernel_id": "52656081"}, {"ref": "mohsinsial/march-mania-eda-analysis", "kernel_id": "52866453"}, {"ref": "juanmerinobermejo/mmlm-2024-xgboost-solution", "kernel_id": "52605861"}, {"ref": "daehyunkang97/tabnet-ncaa-2024", "kernel_id": "52485147"}, {"ref": "publicmikewang/ncaa2024-prediction-randomforest-w-logistic", "kernel_id": "52669720"}, {"ref": "publicmikewang/ncaa2024-prediction-w", "kernel_id": "52527125"}, {"ref": "publicmikewang/ncaa2024-prediction-m", "kernel_id": "52378939"}, {"ref": "publicmikewang/ncaa2024-w-sep", "kernel_id": "52323216"}, {"ref": "publicmikewang/simulate-n-brackets-randomforest", "kernel_id": "52861936"}, {"ref": "karnakbaevarthur/final-ncaa", "kernel_id": "52443904"}, {"ref": "karnakbaevarthur/submission-file-for-all-years-evaluation", "kernel_id": "52048276"}, {"ref": "craackmouse/simple-baseline-model", "kernel_id": "52215796"}, {"ref": "duncanlarzelere/march-madness-upset-prediction-2024", "kernel_id": "52812811"}, {"ref": "parkerbaker/machine-learning-bracket-gpu-powered", "kernel_id": "52442776"}, {"ref": "miquelarisa/winner-prediction", "kernel_id": "52223745"}, {"ref": "caiomelo22/march-madness-2024", "kernel_id": "52378291"}, {"ref": "samuelliebert/notebookf8a59eacd3", "kernel_id": "52879179"}, {"ref": "mikedoesdatascience/march-machine-learning-mania-2024", "kernel_id": "52418514"}, {"ref": "yijiaozhou/mania-basketball", "kernel_id": "52633860"}, {"ref": "manuiaccarino/data-visualization-and-thoughts-eda-phase", "kernel_id": "52172449"}, {"ref": "cassieliangxinyu/march-madness-2024-edaandml", "kernel_id": "52772641"}, {"ref": "shadesh/creation-and-evaluation-of-historical-portfolio-p", "kernel_id": "52232246"}, {"ref": "jakeai/march-for-eda-features", "kernel_id": "52199308"}, {"ref": "frankrilling/ncaa2024-n-brackets-score-98-5", "kernel_id": "52115946"}, {"ref": "vinaymaruri/march-madness-2024", "kernel_id": "52965729"}, {"ref": "jakesak/mm-challenge-2024", "kernel_id": "52952913"}, {"ref": "gabriellevaillant411/math-madness", "kernel_id": "52520847"}, {"ref": "dennis80er/march-madness-predicition", "kernel_id": "52670859"}, {"ref": "dennis80er/march-madness-2", "kernel_id": "52860093"}, {"ref": "enockrotich/march-madness-2024-part-1", "kernel_id": "52375403"}, {"ref": "joaquinroibal/joaquin-roibal-march-madness-2024-machine-learni", "kernel_id": "52118054"}, {"ref": "xanderss/exploracion-datasets", "kernel_id": "52503460"}, {"ref": "mars1987/competencia-dataset", "kernel_id": "52503589"}, {"ref": "edgargomescaseres/adelanto-de-analisis", "kernel_id": "52748318"}, {"ref": "leomartinez2002/notebook3f9f402d2d", "kernel_id": "52960809"}, {"ref": "pigmiral/competencia", "kernel_id": "52504125"}, {"ref": "sandrobarros0826/notebook15dd8706bc", "kernel_id": "52749119"}, {"ref": "yonazomy/notebook4eb6d07591", "kernel_id": "52504299"}, {"ref": "yonazomy/adelanto", "kernel_id": "52962616"}, {"ref": "bthsaimagine/notebook054cdd2b47", "kernel_id": "52058785"}, {"ref": "xunluu/submission-file-for-all-years-evaluation", "kernel_id": "52128303"}, {"ref": "stefanwb/march-machine-learning-mania-2024", "kernel_id": "52594187"}, {"ref": "curiouscyborgs/march-madness-competition-2024", "kernel_id": "52701840"}, {"ref": "joshualevie/jlev-tourney-chall", "kernel_id": "52741989"}, {"ref": "brandonhoeksema/portfolio-to-traditional-submission", "kernel_id": "53102417"}, {"ref": "jaredcross/making-silver-based-predictions", "kernel_id": "53034227"}, {"ref": "jamesmf/submit-using-id-pred-format", "kernel_id": "53111121"}, {"ref": "statstew/impact-of-non-winning-probs-on-lb-score", "kernel_id": "53429566"}, {"ref": "jessefis/simulate-n-brackets", "kernel_id": "53116251"}, {"ref": "rfortin12/ryan-march-madness-2024-explore", "kernel_id": "53078103"}, {"ref": "zeemeen/historical-portfolio-with-smoothing", "kernel_id": "53014002"}, {"ref": "digitalchaos666/team-win-probabilities-by-round-your-brackets", "kernel_id": "53187615"}, {"ref": "digitalchaos666/visualizing-brackets-using-bracketeer", "kernel_id": "53134191"}, {"ref": "returnofsputnik/march-mardness-2024-bracket-viz-ryan-armstrong", "kernel_id": "53047436"}, {"ref": "flat831/ncaa2024-sub-8th-place-code", "kernel_id": "53037227"}, {"ref": "zerg468/seeddiff-and-elo-ratings", "kernel_id": "53100598"}, {"ref": "zerg468/predict-with-multiple-features", "kernel_id": "53132817"}, {"ref": "jeffsd05/propplus-mm", "kernel_id": "53076766"}, {"ref": "matthewdzwil1/mmm-may-the-odds-be-ever-in-our-favor", "kernel_id": "53106246"}, {"ref": "rafaellaxer/marchmadness24-rlaxer-svc", "kernel_id": "53139319"}, {"ref": "rafaellaxer/marchmadness24-rlaxer-logregression", "kernel_id": "53138822"}, {"ref": "anvayshah/mm24-follow-live", "kernel_id": "53233567"}, {"ref": "lenferdetroud/analyzing-32-input-files-schema", "kernel_id": "53707168"}, {"ref": "bunny11/march-ml-mania-2024", "kernel_id": "53601469"}, {"ref": "bunny11/machine-learning-mania-2024", "kernel_id": "53282018"}, {"ref": "roberthatch/mm24-follow-live", "kernel_id": "53204221"}, {"ref": "tindata/subcode", "kernel_id": "53086885"}, {"ref": "dipsios/generate-score-implied-probs-andrew-murphy", "kernel_id": "53408382"}, {"ref": "benwieland/kaggle-mm-solution-2024", "kernel_id": "53420143"}, {"ref": "scrugham/data-knechtions-2024-march-madness-model", "kernel_id": "53017149"}, {"ref": "natsukihashimoto/sql-practical-examples", "kernel_id": "53532700"}, {"ref": "yuvaranianandhan/march", "kernel_id": "53009917"}, {"ref": "rio1721/cleanerkmm24", "kernel_id": "53423324"}, {"ref": "shadesh/titanic-machine-learning-from-disaster", "kernel_id": "53748317"}, {"ref": "shadesh/ml-mania-2024-bracket-evaluate-simulate-results", "kernel_id": "53747621"}, {"ref": "gabeenkimm/eve-final-2024", "kernel_id": "53046504"}, {"ref": "donnahardy/mm-predictions-2024", "kernel_id": "53055201"}, {"ref": "viniciusjancar/notebook-second-submission", "kernel_id": "53113042"}, {"ref": "juanicarlos/apprentissage-profond", "kernel_id": "53422084"}, {"ref": "fanhuaiyuan/fork-of-life2", "kernel_id": "53132590"}, {"ref": "ellie2929/march-madness-2024", "kernel_id": "53251009"}, {"ref": "gabriellevaillant411/math-maddness2", "kernel_id": "53094235"}, {"ref": "mdeisler/marchmaddness", "kernel_id": "53105311"}, {"ref": "paulosab/notebook4de1cf910d", "kernel_id": "53132411"}, {"ref": "sauravdas07/basketball-winner-predict", "kernel_id": "53722225"}, {"ref": "bryancrossman/mm2024-torchnn", "kernel_id": "53045133"}, {"ref": "ishmaelesmaeilrezaei/logistic-regression-accuracy-90", "kernel_id": "53571456"}, {"ref": "badrinathreddypanyam/submission-file", "kernel_id": "53051727"}, {"ref": "flat831/create-feature-womens", "kernel_id": "54913201"}, {"ref": "flat831/create-train-mens", "kernel_id": "54913359"}, {"ref": "flat831/create-train-womens", "kernel_id": "54913597"}, {"ref": "flat831/elo-rating", "kernel_id": "54834315"}, {"ref": "flat831/create-feature-mens", "kernel_id": "54911716"}, {"ref": "jeffsd05/uconn-b2b-marchmadness2024submission-6th-place", "kernel_id": "54882654"}, {"ref": "tztang/pub-march-machine-learning-mania-2024", "kernel_id": "54928603"}, {"ref": "lenferdetroud/simulate-n-brackets", "kernel_id": "54022158"}, {"ref": "lenferdetroud/mmlm-2024-starter", "kernel_id": "54022033"}, {"ref": "rohinisukumar/march-machine-learning-mania-2024", "kernel_id": "54342056"}, {"ref": "trippinglettuce/fork-of-machine-learning-mania-2024", "kernel_id": "55855855"}, {"ref": "trippinglettuce/machine-learning-mania-2024", "kernel_id": "55854618"}, {"ref": "adambachmeier/silver-goto-conversion-predictions", "kernel_id": "55029438"}, {"ref": "aleclobanov/2024-mm-ml-notebook", "kernel_id": "55295886"}, {"ref": "deeplyft/basketball-2023-eda", "kernel_id": "57224902"}, {"ref": "nextnlp/only-you", "kernel_id": "60848685"}, {"ref": "nclakshan/kaggle-input-march-machine-learning-mania-2024", "kernel_id": "64776929"}, {"ref": "timkush/mid-point-review-ml-workshop", "kernel_id": "74333157"}, {"ref": "kikugo/march-machine-learning-mania-2025", "kernel_id": "76971811"}, {"ref": "augustinerichardr/marchmadness-upset-prediction-v1", "kernel_id": "76093193"}, {"ref": "judhafadhilla/panji-march-mania-2025", "kernel_id": "76445499"}, {"ref": "ajayshah88/2025-march-madness-bracket-challenge-classroom", "kernel_id": "77974358"}, {"ref": "stpeteishii/match-outcome-prediction-using-xgboost-ranker", "kernel_id": "88294944"}, {"ref": "stpeteishii/march-madness-xgbregressor-explanation", "kernel_id": "88348137"}, {"ref": "stpeteishii/mania2024-baseline-prediction-pipeline", "kernel_id": "89092105"}, {"ref": "omar2716/march-mania-competitor", "kernel_id": "133272786"}]}
{"competition_id": "70073", "kernels": []}
{"competition_id": "70074", "kernels": []}
{"competition_id": "70089", "kernels": [{"ref": "inversion/mcts-variants-getting-started", "kernel_id": "65195446"}, {"ref": "mavillan/lofo-feat-selection-with-lightgbm", "kernel_id": "65833478"}, {"ref": "anuragupadhyaya/mcts-eda-using-ai", "kernel_id": "65474824"}, {"ref": "swimmy/what-is-important-features-shap", "kernel_id": "65413022"}, {"ref": "swimmy/emsamble-turned-xgb-lgbm-cb", "kernel_id": "65534825"}, {"ref": "yekenot/mcts-feature-elimination-with-catboost", "kernel_id": "65865298"}, {"ref": "dequadras/super-fast-eda-targetviz", "kernel_id": "65341407"}, {"ref": "sohier/mcts-demo-submission", "kernel_id": "65200069"}, {"ref": "chand2020/strength-of-mcts-variants", "kernel_id": "65482473"}, {"ref": "jugesdebnath/game-playing-strength-of-mcts-variants-dataset", "kernel_id": "65346855"}, {"ref": "stpeteishii/game-playing-strength-histplot", "kernel_id": "65337805"}, {"ref": "stpeteishii/um-lgbm-w-optuna", "kernel_id": "65860439"}, {"ref": "stpeteishii/um-xgboost-w-optuna", "kernel_id": "65879173"}, {"ref": "stpeteishii/um-lgbm-submission", "kernel_id": "65937159"}, {"ref": "stpeteishii/um-xgboost-submission", "kernel_id": "65940583"}, {"ref": "gerwynng/mcts-find-duplicated-games-features", "kernel_id": "65754899"}, {"ref": "ahsuna123/xgb-lgbm-cb", "kernel_id": "65469758"}, {"ref": "mpwolke/monte-carlo-tree-search-game-concepts", "kernel_id": "65310208"}, {"ref": "snufkin77/mcts-strength-relevant-baseline", "kernel_id": "65380020"}, {"ref": "tomooinubushi/target-distribution-change-revealed-by-lb-probing", "kernel_id": "65471920"}, {"ref": "tomooinubushi/reduce-data-size-1-32gb-4-53mb-with-parquet", "kernel_id": "65503858"}, {"ref": "tomooinubushi/dummy-test-data-to-debug-error", "kernel_id": "65891750"}, {"ref": "hideyukizushi/mcts-starter-train-inf-hpupd-lb-431", "kernel_id": "65877601"}, {"ref": "junichiromorita/mcts-variants-getting-started-en-jpn", "kernel_id": "65350564"}, {"ref": "arminajdehnia/mctc-ensemble-cb-lgm-xgb", "kernel_id": "65540663"}, {"ref": "khosiyatsabirova/predictor-mctsstrength", "kernel_id": "65335599"}, {"ref": "vishalgrover5/introduction-eda-simple-lgbm-xgb-catboost", "kernel_id": "65848914"}, {"ref": "mayakaripel/notebook5d2acc76d8", "kernel_id": "65967318"}, {"ref": "takaito/um-gradient-boosting-models-train-infer", "kernel_id": "65598298"}, {"ref": "hechtjp/um-mcts-eda-submission-test", "kernel_id": "65434525"}, {"ref": "asarvazyan/understanding-the-mcts-variants", "kernel_id": "65305818"}, {"ref": "nabojyotipandey/mcts-variants-performance-insights", "kernel_id": "65476631"}, {"ref": "cnumber/mcts-variants-initial-eda-fasteda-searchable", "kernel_id": "65416136"}, {"ref": "thomasyow/um-mcts-variant-comp", "kernel_id": "65461679"}, {"ref": "ambrosm/mcts-shortest-inference-notebook-possible", "kernel_id": "65610866"}, {"ref": "ambrosm/mcts-eda-which-makes-sense", "kernel_id": "65430554"}, {"ref": "ravi20076/mcts2024-mlmodels-v1", "kernel_id": "65422781"}, {"ref": "ravi20076/mcts2024-packages-v1", "kernel_id": "65388599"}, {"ref": "ravi20076/mcts2024-lama-train-v1", "kernel_id": "65491430"}, {"ref": "ravi20076/mcts-lama-inference-v1", "kernel_id": "65492550"}, {"ref": "ravi20076/mcts2024-packages-v2", "kernel_id": "65490996"}, {"ref": "starcs2001/xgb-sub", "kernel_id": "65855105"}, {"ref": "starcs2001/mcts-pipeline-xgb-lb-0-504", "kernel_id": "65855122"}, {"ref": "zxl2022/mcts-variants-xgboost-better-basemodel-lb0-479", "kernel_id": "65324079"}, {"ref": "nkpoikanajjames/um-competition-mcts-starter", "kernel_id": "65937581"}, {"ref": "mattop/mcts-variants-initial-eda-fasteda", "kernel_id": "65299068"}, {"ref": "sooyoungher/mcts-basic-with-polars-how-to-submit", "kernel_id": "65320585"}, {"ref": "obliquedbishop/mcts-eda", "kernel_id": "65551537"}, {"ref": "michalinahulak/playing-with-the-metric-mcts", "kernel_id": "65598546"}, {"ref": "kamlesh0228/mcts-variant-let-s-start", "kernel_id": "65331290"}, {"ref": "syednazmussakib/mcts-analysis", "kernel_id": "65349303"}, {"ref": "yunsuxiaozi/mcts-starter", "kernel_id": "65392390"}, {"ref": "yunsuxiaozi/mcts-deal-with-ludrules", "kernel_id": "65433877"}, {"ref": "idrissamdicko/um-game-playing-strength-of-mcts-variants", "kernel_id": "65814703"}, {"ref": "renderld/um-game-playing-strength-of-mcts-variants", "kernel_id": "65682221"}, {"ref": "andreynesterov/mcts-inference-weights-searcher", "kernel_id": "65602004"}, {"ref": "andreynesterov/lgbm-mcts-training", "kernel_id": "65522099"}, {"ref": "andreynesterov/cat-mcts-training", "kernel_id": "65492131"}, {"ref": "andreynesterov/preprocessors-mcts", "kernel_id": "65771934"}, {"ref": "andreynesterov/xgb-mcts-training", "kernel_id": "65726705"}, {"ref": "mxmlnv/mcts-modelv1", "kernel_id": "65747054"}, {"ref": "mxmlnv/mcts-eda", "kernel_id": "65647148"}, {"ref": "nizamuddinmandekar/um-game-playing-strength-of-mcts-variants", "kernel_id": "65329724"}, {"ref": "krishnenduhalder97/submission-parquet-1", "kernel_id": "65710335"}, {"ref": "mst923/mcts-votingregressor", "kernel_id": "65711397"}, {"ref": "jaejohn/mcts-strength-relevant-baseline-lb-0-422", "kernel_id": "65404540"}, {"ref": "jaejohn/mcts-lightgbm-starter", "kernel_id": "65339632"}, {"ref": "shadesh/eda-feature-engineering-catboost-training", "kernel_id": "65491098"}, {"ref": "stemosamaghandour/monte-carlo-search-algorithm-by-osama-ghandour", "kernel_id": "65333650"}, {"ref": "streamsong/mcts-submission-modified", "kernel_id": "65990904"}, {"ref": "sofianechehboune/ml-scikit-learn-mcts-variants", "kernel_id": "65438287"}, {"ref": "alok30/mcts-variants-1st", "kernel_id": "65327204"}, {"ref": "abdmental01/mcts-get-started", "kernel_id": "65405832"}, {"ref": "abdmental01/votingregressor-mcts", "kernel_id": "65409883"}, {"ref": "abdmental01/mcts-multimodel", "kernel_id": "65454981"}, {"ref": "baseltarek/monte-carlo-tree-search-game-concepts", "kernel_id": "65361413"}, {"ref": "baseltarek/mcts-lightgbm-baseline", "kernel_id": "65361633"}, {"ref": "aninisdis/mcts-eda-and-feature-engineering", "kernel_id": "65303564"}, {"ref": "randomguy24/mcts-catboost-quick-start", "kernel_id": "65372804"}, {"ref": "alexandrelemercier/all-best-tabular-classifiers-comparative-study", "kernel_id": "65430377"}, {"ref": "wuzhangming/mcts-lightgbm", "kernel_id": "65373546"}, {"ref": "viktoriaskorik/how-to-install-lib-during-submissions", "kernel_id": "65452622"}, {"ref": "andreasbis/mcts-lightgbm-baseline", "kernel_id": "65312603"}, {"ref": "valeriiabiruk/baseline-model", "kernel_id": "65406131"}, {"ref": "valeriiabiruk/hierarchical-multi-stage-xgboost-ensemble-for-mcts", "kernel_id": "65736355"}, {"ref": "valeriiabiruk/wins-draws-and-losses-predictions-approach", "kernel_id": "65903979"}, {"ref": "alokkumar175358/um-gaming", "kernel_id": "65302783"}, {"ref": "manasrajanpandya/first-embedding-subnb-9-9", "kernel_id": "65375042"}, {"ref": "jorgecamacho17/game-playing-strength-of-mcts-variants", "kernel_id": "65765234"}, {"ref": "anjueduminds/mcts-variants-getting-started", "kernel_id": "65330318"}, {"ref": "jotiroy28/um-game-playing-strength-of-mcts-variants", "kernel_id": "65389924"}, {"ref": "vedantpol/eda-feature-importance", "kernel_id": "65455268"}, {"ref": "vedantpol/nn-approach", "kernel_id": "65472802"}, {"ref": "yuda03979/um-submition", "kernel_id": "65407917"}, {"ref": "rakeshcodes/notebookd9c77df1f4", "kernel_id": "65366020"}, {"ref": "marwanashref/game-playing-strength-of-mcts-variants", "kernel_id": "65390370"}, {"ref": "queenfi/notebook788ca41afe", "kernel_id": "65320814"}, {"ref": "aditiphadnis/mcts-1", "kernel_id": "65916330"}, {"ref": "sidcodegg/sklearn-pipelines-lb-0-435-feat-eng-ensemble", "kernel_id": "66277979"}, {"ref": "yekenot/mcts-deeptables-nn", "kernel_id": "66608887"}, {"ref": "mzaoualim/mcst-data-cleaning-autogluon-model-training", "kernel_id": "66978253"}, {"ref": "basrieco/submission-game-playing", "kernel_id": "66005263"}, {"ref": "basrieco/mcts-runtimeerror-in-loading-test-data", "kernel_id": "66085390"}, {"ref": "brocade/lightgbm-sub-save-500feature", "kernel_id": "66603668"}, {"ref": "gottapuhitesh/kaggle-compitation", "kernel_id": "66260480"}, {"ref": "yunsuxiaozi/um-mcts-can-we-trust-lb", "kernel_id": "66055606"}, {"ref": "bhanupratapbiswas/playing-strength-of-mcts-variants", "kernel_id": "66831364"}, {"ref": "andreynesterov/data-mcts-catenc-2", "kernel_id": "66424547"}, {"ref": "litsea/mcts-baseline-fe-lgbm", "kernel_id": "66438884"}, {"ref": "ghulamhiader/um-game-playing", "kernel_id": "66055669"}, {"ref": "nazarmahdych/notebook54d93e61b1", "kernel_id": "66198695"}, {"ref": "nazarmahdych/fork-of-notebook54d93e61b1-6b0931", "kernel_id": "66389166"}, {"ref": "xiaoleilian/sklearn-pipelines-feat-eng-ensemble", "kernel_id": "66648045"}, {"ref": "andreasbis/mcts-gbdt-select-200-features", "kernel_id": "66272698"}, {"ref": "andreasbis/mcts-oof-predictions-as-features", "kernel_id": "66424288"}, {"ref": "yksyks/yksyks", "kernel_id": "66807191"}, {"ref": "longggl/notebook-mcts", "kernel_id": "66047625"}, {"ref": "marwanashref/train-inf-hpupd-lb-435-with-weight", "kernel_id": "66011874"}, {"ref": "aditiphadnis/mcts-2", "kernel_id": "66777595"}, {"ref": "aditiphadnis/mcts-3submission", "kernel_id": "66885927"}, {"ref": "verracodeguacas/yosh-i-i-g", "kernel_id": "67102920"}, {"ref": "bruceqdu/simple-rule-1007", "kernel_id": "67068909"}, {"ref": "mzaoualim/mcts-autogluon-submission-notebook", "kernel_id": "67047782"}, {"ref": "hideyukizushi/mcts-oof-predfe-pubnb-blending-lb-425", "kernel_id": "67997305"}, {"ref": "kohashi0000/eda-for-traindata", "kernel_id": "67450742"}, {"ref": "andreynesterov/cat-oof-mcts-training", "kernel_id": "67107200"}, {"ref": "shuvosaha1234/um-game-playing-strength", "kernel_id": "67161185"}, {"ref": "amanshaw101/notebookd68229fd54", "kernel_id": "67985100"}, {"ref": "nihar0071/niharpatel-testnotebook", "kernel_id": "67228761"}, {"ref": "aditiphadnis/mcts-nlp-stack7-1", "kernel_id": "67372231"}, {"ref": "aditiphadnis/mcts-5", "kernel_id": "67270201"}, {"ref": "verracodeguacas/matryoshka-embeddings-training", "kernel_id": "68122292"}, {"ref": "coreacasa/mcts-demidov-training-catboost", "kernel_id": "68847811"}, {"ref": "taikimori/um-pytorch-tabular-train-inference", "kernel_id": "68221531"}, {"ref": "cafelatte1/mctsv-eda-on-target-distribution-and-agent", "kernel_id": "68516258"}, {"ref": "onurkoc83/base-lgbm-starter-notebook", "kernel_id": "68912830"}, {"ref": "dankwahdaniel/um-notebook", "kernel_id": "68158748"}, {"ref": "hanokh/simple-rule-1007", "kernel_id": "68391162"}, {"ref": "sanye233/simple-rule-1007-homework20241027", "kernel_id": "68999535"}, {"ref": "miaoyixiang/submission-parquet", "kernel_id": "68913625"}, {"ref": "z1493916656/catboost", "kernel_id": "68472294"}, {"ref": "zzy123123/um10-21", "kernel_id": "68391665"}, {"ref": "houxiyu/simple-rule-1007-0da58f", "kernel_id": "68471889"}, {"ref": "jiezhou2/mcts-oof-predictions-as-features", "kernel_id": "69698851"}, {"ref": "coreacasa/mcts-demidov-training-deeptables", "kernel_id": "69267002"}, {"ref": "coreacasa/mcts-yukiz-training-lightgbm-catboost", "kernel_id": "69450628"}, {"ref": "coreacasa/mcts-yusuxiaozi-training-catboost", "kernel_id": "69451691"}, {"ref": "coreacasa/mcts-matryoshka-training-lightgbm-catboost", "kernel_id": "69680691"}, {"ref": "coreacasa/mtcs-ghulam-training-lightgbm-catboost", "kernel_id": "69750499"}, {"ref": "coreacasa/mcts-matryoshka-training-lightgbm-catboost-restack", "kernel_id": "69831553"}, {"ref": "coreacasa/mcts-yukiz-training-lightgbm-catboost-restack", "kernel_id": "69831733"}, {"ref": "bruceqdu/mcts-starter", "kernel_id": "69620873"}, {"ref": "mohammad2012191/um-inference-nb-9th-place-solution", "kernel_id": "69602427"}, {"ref": "anmatngu/base-catboost-mctsvs-submission-starter", "kernel_id": "69717279"}, {"ref": "mxmlnv/mcts-simulated-annealing-hill-climb", "kernel_id": "69182434"}, {"ref": "martinapreusse/mcts-stacked-catboost", "kernel_id": "69007363"}, {"ref": "peilwang/um-only-dl-train", "kernel_id": "69060448"}, {"ref": "nazarmahdych/notebookb185aa05e8", "kernel_id": "69115286"}, {"ref": "jiangbeimiao/mcts-oof-predictions-as-features-hp-tune-427", "kernel_id": "69559289"}, {"ref": "weiyeshi/mcts-baseline-mlp", "kernel_id": "69431073"}, {"ref": "weiyeshi/fork-of-mcts-baseline-mlp", "kernel_id": "69462695"}, {"ref": "miaoyixiang/underline-test", "kernel_id": "69044320"}, {"ref": "aristotlechen/xgb-mcts-oof-predictions-as-features", "kernel_id": "69055339"}, {"ref": "lixuehao/um-mcts", "kernel_id": "69100729"}, {"ref": "lixuehao/simple-rule-1007", "kernel_id": "69306000"}, {"ref": "lixuehao/um-mcts-simple", "kernel_id": "69479916"}, {"ref": "lixuehao/mcts-starter", "kernel_id": "69818933"}, {"ref": "jjwlkt/um-kaggle0", "kernel_id": "69010634"}, {"ref": "jjwlkt/um-kaggle1", "kernel_id": "69014939"}, {"ref": "sidcodegg/modeling-agent-utility-with-ludrules", "kernel_id": "70847224"}, {"ref": "coreacasa/yosh-i-i-g", "kernel_id": "70715339"}, {"ref": "coreacasa/mcts-matryoshka-datasets-copy-paste", "kernel_id": "70714347"}, {"ref": "coreacasa/mcts-eda-which-makes-sense", "kernel_id": "70588188"}, {"ref": "coreacasa/mtcs-xiaolei2-training-lightgbm-catboost", "kernel_id": "70172971"}, {"ref": "coreacasa/mtcs-tatiana-training-lightgbm", "kernel_id": "70155897"}, {"ref": "coreacasa/mcts-feature-selection", "kernel_id": "70154986"}, {"ref": "coreacasa/mcts-gbdt-select-200-features", "kernel_id": "70155027"}, {"ref": "coreacasa/mcts-deeptables-nn", "kernel_id": "70155163"}, {"ref": "coreacasa/mcts-yunsuxiaozi-training-re-seed-simple-yunbase", "kernel_id": "70906949"}, {"ref": "semiheren/ensemble-final", "kernel_id": "70731544"}, {"ref": "yunsuxiaozi/mcts-silver-solution-trust-lb", "kernel_id": "70629471"}, {"ref": "yunsuxiaozi/mcts-simple-yunbase", "kernel_id": "70240088"}, {"ref": "pankajdebroy/um-game-playing-strength-modelling", "kernel_id": "70392852"}, {"ref": "william178/mcts-2024-ensemble-v16-01-3", "kernel_id": "70303693"}, {"ref": "bochaocai/mcts-2024-ensemble-v16-01-3", "kernel_id": "70331862"}, {"ref": "zhangxainde/notebook06936c51a4", "kernel_id": "70148426"}, {"ref": "zzzzxxxxyyyyuuiuio/notebook4", "kernel_id": "70680866"}, {"ref": "larry54321zhao/mlpearlystop", "kernel_id": "70069313"}, {"ref": "yaoxiangyin/xhr111", "kernel_id": "70631695"}, {"ref": "liyushi669/test-lgb", "kernel_id": "70168374"}, {"ref": "seelekane/nb114514", "kernel_id": "70165633"}, {"ref": "qfightzas/notebooke666cnmza", "kernel_id": "70245078"}, {"ref": "coreacasa/mcts-demidov-deeptables-catboost-oof", "kernel_id": "71537891"}, {"ref": "coreacasa/mcts-demidov-training-catboost-oof", "kernel_id": "71538887"}, {"ref": "coreacasa/mcts-demidov-training-deeptables-oof", "kernel_id": "71539279"}, {"ref": "coreacasa/mcts-debugging-cross-validation", "kernel_id": "71618227"}, {"ref": "coreacasa/mtcs-tatiana-training-lightgbm-oof", "kernel_id": "71639856"}, {"ref": "coreacasa/mtcs-xiaolei2-training-lightgbm-catboost-oof", "kernel_id": "71640102"}, {"ref": "coreacasa/mtcs-ghulam-training-lightgbm-catboost-oof", "kernel_id": "71640682"}, {"ref": "coreacasa/mcts-martinapreusse-training-stacked-catboost", "kernel_id": "71336337"}, {"ref": "coreacasa/mcts-demidov-deeptables-catboost-copy-paste", "kernel_id": "71086717"}, {"ref": "coreacasa/mcts-4th-place-solution-private-lb", "kernel_id": "71030411"}, {"ref": "coreacasa/mcts-yunsuxiaozi-training-re-seed-nontext-yunbase", "kernel_id": "71037200"}, {"ref": "coreacasa/mcts-yunsuxiaozi-training-re-seed-ludtext-yunbase", "kernel_id": "71037504"}, {"ref": "coreacasa/mtcs-longggl-training-catboost-oof", "kernel_id": "71751653"}, {"ref": "coreacasa/mcts-inference-public-submissions-v6", "kernel_id": "71980604"}, {"ref": "tobimichigan/um-game-playing-strength-mcts-algorithm", "kernel_id": "71514922"}, {"ref": "jbomitchell/mcts-three-way-ensemble", "kernel_id": "71029381"}, {"ref": "mayakaripel/mcts-variant", "kernel_id": "71957639"}, {"ref": "semiheren/finalize-xgb-ad1-target-strat", "kernel_id": "71499616"}, {"ref": "godgod3/mcts-by-similiarity", "kernel_id": "71820743"}, {"ref": "faykudbq/mcts-deeptables-nn-af7adb", "kernel_id": "71956587"}, {"ref": "machengyuan/baseline-resnet-enhance", "kernel_id": "71412476"}, {"ref": "naahyun/temp-3", "kernel_id": "71330241"}, {"ref": "antobenedetti/perceptron-for-mcts-variants", "kernel_id": "71550250"}, {"ref": "hanokh/mcts-oof-predfe-pubnb-blending-lb-4xx", "kernel_id": "71253672"}, {"ref": "sanye233/um-homework20241120", "kernel_id": "71240004"}, {"ref": "notrikka/mcts-starter", "kernel_id": "71588599"}, {"ref": "miaoyixiang/notebook38a6a5403e", "kernel_id": "71011971"}, {"ref": "johanribeirolamy/perceptron", "kernel_id": "71562904"}, {"ref": "chronoscop/mtcs-eda", "kernel_id": "71093908"}, {"ref": "lixuehao/offline-test-set", "kernel_id": "71599559"}, {"ref": "zhangqunn/notebook93a78254db", "kernel_id": "71313898"}, {"ref": "zhangqunn/notebook8cedfbd411", "kernel_id": "71516782"}, {"ref": "gaojack/mcts-starter", "kernel_id": "71596608"}, {"ref": "gaojack/notebookf4c6ab7728", "kernel_id": "71670234"}, {"ref": "houxiyu/hxy-um", "kernel_id": "71040129"}, {"ref": "technologyhighplayer/mcts-starter-1125-second", "kernel_id": "71598102"}, {"ref": "technologyhighplayer/1121-1114", "kernel_id": "71291679"}, {"ref": "kongyanmiao/kk-analysis", "kernel_id": "71458111"}, {"ref": "kongyanmiao/notebooka74dd213fd", "kernel_id": "71245023"}, {"ref": "doudoudoudouba/complexityperplayout", "kernel_id": "71594020"}, {"ref": "sx0505/housework", "kernel_id": "71758565"}, {"ref": "fdfafkffad/mcts-variants-getting-started", "kernel_id": "71915390"}, {"ref": "dgutyjj/notebookzuoye2", "kernel_id": "71544726"}, {"ref": "daiyelee/competetion", "kernel_id": "71982377"}, {"ref": "penhellenios/spongebob-squarepants", "kernel_id": "71749553"}, {"ref": "penhellenios/biqibao", "kernel_id": "71311683"}, {"ref": "seelekane/notebook2023423320", "kernel_id": "71696198"}, {"ref": "hzx158152/notebook3288a11df1", "kernel_id": "71108189"}, {"ref": "qscwzm92/notebook5970a2bf15", "kernel_id": "71525886"}, {"ref": "romulusljx/notebook820011c020", "kernel_id": "71520572"}, {"ref": "romulusljx/notebook-mcts", "kernel_id": "71525468"}, {"ref": "lghlghlghl/mcts-gbdt-select-200-features", "kernel_id": "71248409"}, {"ref": "lghlghlghl/mcts-get-started", "kernel_id": "71447226"}, {"ref": "yhlhfltjy/mcts-variants-getting-started", "kernel_id": "71812987"}, {"ref": "lileqing/notebook9a22e121c4", "kernel_id": "71915555"}, {"ref": "dengzhuoquan/notebookc0895ecacd", "kernel_id": "71474030"}, {"ref": "ponyliu55/dgutmtcs1", "kernel_id": "71524728"}, {"ref": "changshengwulaowu/end-to-end-machine-learning-pipeline", "kernel_id": "71967037"}, {"ref": "jerrydengdeng/dguthaha", "kernel_id": "71549588"}, {"ref": "senkin13/um-3rd-place-senkin13-notebook", "kernel_id": "72982256"}, {"ref": "senkin13/um-final-sub-1", "kernel_id": "72098729"}, {"ref": "yekenot/mcts-tabm-nn", "kernel_id": "72263908"}, {"ref": "coreacasa/mcts-submission2-stacking-solution-20th-private-lb", "kernel_id": "72028918"}, {"ref": "coreacasa/mtcs-longggl-training-catboost", "kernel_id": "72432482"}, {"ref": "coreacasa/mcts-matryoshka-training-copy-paste", "kernel_id": "72431740"}, {"ref": "coreacasa/mcts-4th-place-solution-referenced-workspace", "kernel_id": "72501394"}, {"ref": "coreacasa/mcts-eda-which-makes-sense-copy-paste", "kernel_id": "72448824"}, {"ref": "nlztrk/um-5th-place-solution-catboost-part", "kernel_id": "72144321"}, {"ref": "sercanyesiloz/um-mcts-5th-place-solution", "kernel_id": "72518771"}, {"ref": "jsday96/mcts-multi-isotonic-ensemble-2", "kernel_id": "72099348"}, {"ref": "fredrikupmark/um-gpsomctsv-2nd-place-solution-submission", "kernel_id": "72448158"}, {"ref": "zxyswds/um-game-tabnet", "kernel_id": "72067789"}, {"ref": "dettki/mcts-private-rank-12-unique-part", "kernel_id": "72427235"}, {"ref": "antobenedetti/transformer-for-mcts-variants", "kernel_id": "72630425"}, {"ref": "qwertynnzh/mcts-starter-2677b7", "kernel_id": "72106494"}, {"ref": "arths520/um-competition-mcts-starter-454e88", "kernel_id": "72737062"}, {"ref": "lixuehao/eda-feature-engineering-catboost-training", "kernel_id": "72303651"}, {"ref": "hiessie/eanalysis-01", "kernel_id": "72093625"}, {"ref": "fantasyyy/notebook164f061525", "kernel_id": "72080775"}, {"ref": "matthieuouvrard/notebook6326399853-iluminia", "kernel_id": "72883682"}, {"ref": "hekunye/notebookd1557523c8", "kernel_id": "72105239"}, {"ref": "xianqihong/mcts-variants-getting-started", "kernel_id": "72114468"}, {"ref": "smallhour/12345", "kernel_id": "72108337"}, {"ref": "blue68/kk-analysis", "kernel_id": "72032719"}, {"ref": "xwc007/notebook7993027e70", "kernel_id": "72103215"}, {"ref": "ryvhii/12-2notebook", "kernel_id": "72103175"}, {"ref": "dgutai/dgutande", "kernel_id": "72116985"}, {"ref": "dgutai/mcts-dgut", "kernel_id": "72118037"}, {"ref": "lileqing/notebookliao", "kernel_id": "72024163"}, {"ref": "hearuzj/mcts-variants-getting-started", "kernel_id": "72114818"}, {"ref": "xxshss/mcts-variants-getting-started", "kernel_id": "72113024"}, {"ref": "mumeijing/mcts-variants-getting-started", "kernel_id": "72109799"}, {"ref": "guangon666/the-invincible-ysj", "kernel_id": "72125860"}, {"ref": "dguthyh/notebook3319695e91", "kernel_id": "72113691"}, {"ref": "zhangshiyuan123/notebookba9329ee9d", "kernel_id": "72119838"}, {"ref": "mos3santos/um-game-playing", "kernel_id": "73882211"}, {"ref": "nori0724/ch05-fold", "kernel_id": "77526166"}, {"ref": "nori0724/ch04-exp001", "kernel_id": "77524901"}, {"ref": "nori0724/ch04-exp002", "kernel_id": "77525092"}, {"ref": "nori0724/ch05-groupkfold", "kernel_id": "77525774"}, {"ref": "paagaf/contest-hse-adaai", "kernel_id": "78755172"}, {"ref": "anshengjhang/mcts-feature-creation-selection", "kernel_id": "84498812"}, {"ref": "lzero123/mcts-feature-creation-selection", "kernel_id": "85885008"}, {"ref": "zhongsir86/features", "kernel_id": "85807116"}, {"ref": "edwardjohnwashins/um-uuu", "kernel_id": "85659272"}, {"ref": "edwardjohnwashins/notebook1c66d76fe9", "kernel_id": "86039983"}, {"ref": "xinslm/notebook01be173411", "kernel_id": "86069462"}, {"ref": "walqywn/notebook", "kernel_id": "86081732"}, {"ref": "thomasamara/mcts-variants-xgboost", "kernel_id": "87338418"}, {"ref": "atalcep/notebookb9a08d71dc", "kernel_id": "93282940"}, {"ref": "easym0ney/un-mcts", "kernel_id": "93993508"}, {"ref": "luhongyu1010/n2024423320116", "kernel_id": "93092980"}, {"ref": "hankairan/notebook1f27dd69c4", "kernel_id": "93422424"}, {"ref": "eugenealdridge/sc4000-group-29-2025-sem1-submission", "kernel_id": "98617289"}]}
{"competition_id": "70173", "kernels": [{"ref": "abebe9849/baseline-notebook-for-pathology-ai-competetion", "kernel_id": "50646017"}, {"ref": "abebe9849/get-embed-1ststage", "kernel_id": "50760936"}, {"ref": "hamham1234/panda-eda", "kernel_id": "51682138"}]}
{"competition_id": "70177", "kernels": []}
{"competition_id": "70203", "kernels": [{"ref": "virajkadam/birdclef22-p2-no-call-classifier", "kernel_id": "26734460"}, {"ref": "jirkaborovec/birdclef-stat-weights-predictions", "kernel_id": "35786010"}, {"ref": "jirkaborovec/birdclef-eda-world-atlas-with-birds", "kernel_id": "35785295"}, {"ref": "jirkaborovec/birdclef-random-predictions", "kernel_id": "35785384"}, {"ref": "jirkaborovec/birdclef-convert-spectrograms-reduce-noise", "kernel_id": "35784965"}, {"ref": "tamotamo/convert-pytorch-model-to-openvino", "kernel_id": "38990510"}, {"ref": "richolson/birdclef-2024-simple-mel-spectrogram-generator", "kernel_id": "38715380"}, {"ref": "rohitgunti/inferring-birds-with-kaggle-models", "kernel_id": "39632010"}, {"ref": "mjz00011/bird-sound-train", "kernel_id": "48559168"}, {"ref": "tahmeedtoqi/notebookbc37e64f93", "kernel_id": "52929386"}, {"ref": "orahseun/birdclef-2024", "kernel_id": "53961391"}, {"ref": "tabassumnova/audio-signal-analysis", "kernel_id": "53948957"}, {"ref": "aikhmelnytskyy/birdclef24-pretraining-is-all-you-need-infer", "kernel_id": "53976876"}, {"ref": "stpeteishii/birdclef-2024-geodata", "kernel_id": "53998009"}, {"ref": "mpwolke/birdclef-2024-western-ghats-species", "kernel_id": "53925842"}, {"ref": "mpwolke/bird-species-of-the-western-ghats", "kernel_id": "53914684"}, {"ref": "awsaf49/birdclef24-kerascv-starter-train", "kernel_id": "53910667"}, {"ref": "lukasrauch/birdset-a-quick-start-with-huggingface", "kernel_id": "53984842"}, {"ref": "markwijkhuizen/birdclef-2024-eda-preprocessed-dataset", "kernel_id": "53985331"}, {"ref": "beckpro/audio-spectrograms-augmentations-birdclef24", "kernel_id": "53961672"}, {"ref": "robbynevels/bc24-eda", "kernel_id": "53911556"}, {"ref": "ashokkumarbibbab/birds-classification-in-rfc-model-accuracy-87", "kernel_id": "53934982"}, {"ref": "yusaku5739/bc24-create-melspectrogram-from-audio", "kernel_id": "53953998"}, {"ref": "satyaprakashshukl/eda-b-clef-classification", "kernel_id": "53955558"}, {"ref": "satyaprakashshukl/birdclef-prediction-analysis", "kernel_id": "53954162"}, {"ref": "nazargrinchenko/grinnazar-s-notebook-birds", "kernel_id": "53909826"}, {"ref": "abhijitdarekar001/eda-birdclef24", "kernel_id": "53962481"}, {"ref": "vishakkbhat/audio-to-numpy-features", "kernel_id": "53945954"}, {"ref": "jefersonpazze/eda-baseline-birdclef-2024", "kernel_id": "53904149"}, {"ref": "ddosad/birdclef-24-data-exploration", "kernel_id": "53936621"}, {"ref": "programmarself/identification-of-birds-species-by-sound", "kernel_id": "53926590"}, {"ref": "yassinealouini/birdclef-2024-eda", "kernel_id": "54746913"}, {"ref": "adhok93/running-cnn-on-5-second-clips-no-dropout", "kernel_id": "54334924"}, {"ref": "adhok93/mobilenetv2-baseline", "kernel_id": "54732811"}, {"ref": "adhok93/using-tfio-to-create-a-dataset", "kernel_id": "54493051"}, {"ref": "adhok93/create-images-using-librosa", "kernel_id": "54858154"}, {"ref": "adhok93/mobilenetv2-infer", "kernel_id": "54996014"}, {"ref": "santoshkumar/understanding-audio-data-getting-started", "kernel_id": "54776704"}, {"ref": "osprey2k/birdclef-2024-model1", "kernel_id": "54695621"}, {"ref": "osprey2k/birdclef-2024-inference", "kernel_id": "54984577"}, {"ref": "lihaoweicvch/bird-sound-denoise-by-deep-model", "kernel_id": "54482883"}, {"ref": "lihaoweicvch/rating-pred-unlabeled-soundscapes-prediction", "kernel_id": "54532399"}, {"ref": "jackvial/dsp-basics-filtering-with-fft-and-convolutions", "kernel_id": "54022836"}, {"ref": "vishalbakshi/birdclef24-fastxtend-starter-submit", "kernel_id": "54604415"}, {"ref": "vishalbakshi/birdclef2024-getting-started-with-fastxtend-audio", "kernel_id": "54442824"}, {"ref": "vishalbakshi/birdclef24-fastxtend-starter-train", "kernel_id": "54582806"}, {"ref": "vishalbakshi/birdclef24-pth-onnx-xml-inference-speed-analysis", "kernel_id": "54954015"}, {"ref": "willrice/another-pytorch-audio-denoising-model", "kernel_id": "54503296"}, {"ref": "sonujha090/birdclef-2024-split-and-creating-melspecrogram", "kernel_id": "54351573"}, {"ref": "sonujha090/birdclef-2024-inference-lightning", "kernel_id": "54362755"}, {"ref": "sonujha090/birdclef-eda", "kernel_id": "54859464"}, {"ref": "tabassumnova/google-bird-vocalization-classifier-model-77-acc", "kernel_id": "54266217"}, {"ref": "raminanush/bird-sounds-eda-using-torchaudio", "kernel_id": "54691578"}, {"ref": "tomeriiii/birdclef-2024-efficientvit-training", "kernel_id": "54711145"}, {"ref": "bharathchandra2804/bird-calls", "kernel_id": "54597734"}, {"ref": "aikhmelnytskyy/birdclef24-pretraining-is-all-you-need", "kernel_id": "54066587"}, {"ref": "stpeteishii/birds-in-the-western-ghats-area", "kernel_id": "54071837"}, {"ref": "stpeteishii/birdclef2024-sound-to-5s-s-mel", "kernel_id": "54783084"}, {"ref": "stpeteishii/birdclef2024-5s-s-mel-pytorch-lightning-cnn", "kernel_id": "54786634"}, {"ref": "awsaf49/birdclef24-kerascv-starter-infer", "kernel_id": "54000911"}, {"ref": "markwijkhuizen/birdclef-2024-efficientvit-training", "kernel_id": "54283194"}, {"ref": "markwijkhuizen/birdclef-2024-efficientvit-inference", "kernel_id": "54307119"}, {"ref": "pavelabr/umap-visualisation-of-bird-sounds", "kernel_id": "54286437"}, {"ref": "wangyuren/birdclef", "kernel_id": "54548714"}, {"ref": "zhixx018/birdclef2024-data-exploration", "kernel_id": "54423649"}, {"ref": "zhixx018/birdclef2024-baseline-effnet-pretrained", "kernel_id": "54509988"}, {"ref": "zhixx018/birdclef2024-audio-transformation", "kernel_id": "54567725"}, {"ref": "venkatkumar001/birdclef2024-initial-analysis", "kernel_id": "54364869"}, {"ref": "venkatkumar001/birdclef2024-tensorflowapproach1", "kernel_id": "54367180"}, {"ref": "venkatkumar001/birdclef2024-audio2image-conversion", "kernel_id": "54421356"}, {"ref": "lmhongkhnh/birdclef2024-multithread-with-openvino-inference", "kernel_id": "54730466"}, {"ref": "robbynevels/bc24-data-identifying-duplicates-w-embedddings", "kernel_id": "54760744"}, {"ref": "robbynevels/bc24-data-embedding-distances", "kernel_id": "54761708"}, {"ref": "robbynevels/bc24-google-bird-model-embeddings-predict-score", "kernel_id": "54757270"}, {"ref": "robbynevels/bc24-duplicate-audio-files", "kernel_id": "54769634"}, {"ref": "robbynevels/bc24-data-add-max-volumes", "kernel_id": "54915922"}, {"ref": "mos3santos/birdclef", "kernel_id": "54095423"}, {"ref": "kunihikofurugori/birdclef2024-metadata-dataframe", "kernel_id": "54111054"}, {"ref": "kunihikofurugori/birdclef2024-analysis-metadata", "kernel_id": "54326462"}, {"ref": "kunihikofurugori/xeno-cant-download", "kernel_id": "54470670"}, {"ref": "seydifaye/spec-birdclef-2024-train-cnn-train", "kernel_id": "54271724"}, {"ref": "ahmedihsan/birds-classification-spec-augm-5-model", "kernel_id": "54317834"}, {"ref": "ahmedihsan/birdclef-2024-spectrograms-imagenet-vgg", "kernel_id": "54542747"}, {"ref": "ahmedihsan/birdclef-2024-cnn-rnn-roc-79", "kernel_id": "54667986"}, {"ref": "ahmedihsan/birds-classification-in-rfc-model-accuracy-21", "kernel_id": "54610821"}, {"ref": "ahmedihsan/birdclef-2024-spectrograms-nasnetmobile", "kernel_id": "54605106"}, {"ref": "myso1987/how-to-submit-to-birdclef-2024", "kernel_id": "54029289"}, {"ref": "vanshitasharma/birdclef-sample-submission", "kernel_id": "54655102"}, {"ref": "hugodeheer/birdclef-2024-best-working-note-submission", "kernel_id": "54860206"}, {"ref": "guyinbar33/bridclef2024-torch-dataset-object", "kernel_id": "54433741"}, {"ref": "jayambe36/notebook493d650846", "kernel_id": "54011108"}, {"ref": "kmatsu01/birdclef-24-convnext-inference-with-onnx", "kernel_id": "54897123"}, {"ref": "kmatsu01/birdclef-24-convnext-pytorch-train", "kernel_id": "54897890"}, {"ref": "samvelkoch/birdclef-2024-mel-spectrograms-generator-npy", "kernel_id": "54060150"}, {"ref": "saarthakverma/bird-sound-detection", "kernel_id": "54494991"}, {"ref": "anandkumarkushwaha/bird-sound-clasification-birdclef-2024", "kernel_id": "54089084"}, {"ref": "nishanthh19/birdclef-2024-eda", "kernel_id": "54000553"}, {"ref": "richolson/birdclef-2024-spectrograms-imagenet-train", "kernel_id": "54087600"}, {"ref": "richolson/birdclef-2024-spectrograms-imagenet-run", "kernel_id": "54105129"}, {"ref": "richolson/big-bird-spectrograms-look-and-listen", "kernel_id": "54383871"}, {"ref": "richolson/birdclef-2024-contiguous-mel-spectrogram-generator", "kernel_id": "54605464"}, {"ref": "richolson/birdclef-2024-train-v2-efficientnetv2-b2", "kernel_id": "54633923"}, {"ref": "richolson/birdclef-2024-run-v2", "kernel_id": "54651705"}, {"ref": "soyabulislamlincoln/birdclef-stage-1-eda", "kernel_id": "54851280"}, {"ref": "soyabulislamlincoln/birdclef-spectogram-scalogram", "kernel_id": "54997323"}, {"ref": "shadesh/bird-species-classification-using-machine-learning", "kernel_id": "54432613"}, {"ref": "zijiangyang1116/birdclef-24-preprocessing-via-cupy", "kernel_id": "54532720"}, {"ref": "zijiangyang1116/birdclef-24-efficientnetb0-pytorch-inference", "kernel_id": "54496385"}, {"ref": "zijiangyang1116/birdclef-24-speed-up-audio-to-spec-via-cupy", "kernel_id": "54412565"}, {"ref": "zijiangyang1116/birdclef-24-efficientnetb0-pytorch-train", "kernel_id": "54426506"}, {"ref": "zijiangyang1116/birdclef-24-inference-with-onnx", "kernel_id": "54618388"}, {"ref": "moyuto/birdclef-2024-introduction", "kernel_id": "54166481"}, {"ref": "celestialsquid/birdclef2024", "kernel_id": "54466114"}, {"ref": "as2003/fork-of-notebookb4cca6a63f", "kernel_id": "54676146"}, {"ref": "arunsensei/basic-eda-mel-spctrograms", "kernel_id": "54139141"}, {"ref": "arunsensei/baseline-train-efficientnetb0", "kernel_id": "54393061"}, {"ref": "suzukisatsuki/birdclef-eda-spectrogram", "kernel_id": "54169636"}, {"ref": "ishmaelesmaeilrezaei/audio-classification-by-cnn-keras", "kernel_id": "54755844"}, {"ref": "haitaowong/birdclef24-submission", "kernel_id": "54696826"}, {"ref": "haitaowong/birdclef24-assignment2-cnn-training", "kernel_id": "54645697"}, {"ref": "haitaowong/birdclef-2024-assignment2-preprocess", "kernel_id": "54545599"}, {"ref": "haitaowong/birdclef24-assignment2-efficientnet-training", "kernel_id": "54769352"}, {"ref": "elechn/birdclef-try1", "kernel_id": "54943331"}, {"ref": "xestoir/bc24-western-ghats-spatial-analysis", "kernel_id": "54461744"}, {"ref": "shinnyy5624/bird-classification", "kernel_id": "54771534"}, {"ref": "adhok93/duplicate-file-names-across-different-folders", "kernel_id": "55197252"}, {"ref": "mariazorkaltseva/audio-birdclef-2024-eda-and-feature-engineering", "kernel_id": "55022245"}, {"ref": "docxian/birdclef-2024-birds-geography", "kernel_id": "55301669"}, {"ref": "sonujha090/birdclef-fastai-training", "kernel_id": "55951574"}, {"ref": "quan0095/birdclef-prediction-analysis", "kernel_id": "55154221"}, {"ref": "quan0095/compare-speed-on-cpu", "kernel_id": "55117807"}, {"ref": "quan0095/bird-multi-process", "kernel_id": "55133129"}, {"ref": "quan0095/split-data", "kernel_id": "55064263"}, {"ref": "tasmim/birdclef24-effnet-train-roc-61", "kernel_id": "55162828"}, {"ref": "tasmim/efficientnet-train-birdclef24", "kernel_id": "55240838"}, {"ref": "sanggusti/birdclef24-kerascv-starter-train", "kernel_id": "55388771"}, {"ref": "nvnikhil0001/birdclef-2024-eda-base-model", "kernel_id": "55328547"}, {"ref": "piantic/how-to-inference-mllm-multimodalllm-llava-phi3", "kernel_id": "55915688"}, {"ref": "staratnyte/birdclef-2024-eda", "kernel_id": "55226710"}, {"ref": "jasonchris1988/1negative-samples-npy-birdclef2024", "kernel_id": "55609667"}, {"ref": "snehalverma10/birdclef-melspec-speedup", "kernel_id": "55516572"}, {"ref": "yiding111/impleme-fft-on-raw-data-as-a-step-of-preprocessing", "kernel_id": "55009675"}, {"ref": "robbynevels/bc24-test-train-shift-in-spectrograms", "kernel_id": "55720517"}, {"ref": "followjohn/birdclef-2024-inference-notebook", "kernel_id": "55789109"}, {"ref": "akinosora/efficientnetb0-inference-speed-analysis", "kernel_id": "55088281"}, {"ref": "tpnnam/fork-of-birdclef24-starter-infer", "kernel_id": "55710362"}, {"ref": "samiulislam180041221/god-help-me-please", "kernel_id": "55701408"}, {"ref": "samiulislam180041221/birdclef24-kerascv-train", "kernel_id": "55515219"}, {"ref": "salmanahmedtamu/new-torch-jit-submission-nf", "kernel_id": "55755289"}, {"ref": "nehajain08/birdclef-24-sound-detection-analysis", "kernel_id": "55792796"}, {"ref": "kmatsu01/birdclef-24-pytorch-noise-reduction-train", "kernel_id": "55569243"}, {"ref": "kmatsu01/birdclef-24-infererence-with-noise-reduction", "kernel_id": "55567775"}, {"ref": "wengsilu/birdclef2024-visual", "kernel_id": "55757815"}, {"ref": "pavlobaranchuk/birdclef-2024", "kernel_id": "55816135"}, {"ref": "richolson/birdclef-24-contiguous-mels-unlabeled-soundscapes", "kernel_id": "55501352"}, {"ref": "richolson/unsupervised-birds-using-unlabeled-soundscapes", "kernel_id": "55500748"}, {"ref": "richolson/birdclef-2024-exploring-scoring", "kernel_id": "55103873"}, {"ref": "richolson/feathered-finale-mels-model-auc-score", "kernel_id": "55312043"}, {"ref": "richolson/birdtrax-birdclef-2024-labeled-soundscapes", "kernel_id": "55178989"}, {"ref": "rfeng12/data-augmentation-and-pytorch", "kernel_id": "55295520"}, {"ref": "lipsitac/birdclef-train-draft1", "kernel_id": "55777046"}, {"ref": "shadesh/birdclef-2024", "kernel_id": "55011761"}, {"ref": "desmond05/birdclef-2024-train-notebook", "kernel_id": "55191142"}, {"ref": "manashaarun/eda-birdclef24", "kernel_id": "55121982"}, {"ref": "amrithanandini/birdclef-2024-spectrogram-feature-extraction", "kernel_id": "55184978"}, {"ref": "lorenzojayd/birdclef-2024-beginner-guide-model-training", "kernel_id": "55322501"}, {"ref": "lorenzojayd/birdclef-2024-beginner-guide-inferring", "kernel_id": "55322869"}, {"ref": "gabrieldailey/notebook8af6311e16", "kernel_id": "55307018"}, {"ref": "bryancrossman/labeled-soundscape-creator", "kernel_id": "55426527"}, {"ref": "koutakaggle/kouta-bird-vocalization-classifier", "kernel_id": "55196786"}, {"ref": "yuxintong/lilydraft", "kernel_id": "55160404"}, {"ref": "rahul1933/model-training-1", "kernel_id": "55626534"}, {"ref": "adhok93/mixup-cutmix-mobilenetv2", "kernel_id": "56381805"}, {"ref": "danilasergeyev/birdclef-2024-concurrent-inference-pytorch", "kernel_id": "56365667"}, {"ref": "christofhenkel/bc-weights-ch-pl-bird-003-exp0", "kernel_id": "56762520"}, {"ref": "theoviel/birdclef-2024-inf-v2", "kernel_id": "56232394"}, {"ref": "mezoplays/chirpai", "kernel_id": "56355665"}, {"ref": "hassanql/working-with-audio-in-python", "kernel_id": "56921242"}, {"ref": "furioussavenger/birdclef-pytorch-test", "kernel_id": "56983915"}, {"ref": "robbynevels/woosan-xc587076-vs-woosan-xc578599", "kernel_id": "56255136"}, {"ref": "sugar0/birdclef2024-inference", "kernel_id": "56717312"}, {"ref": "denizbora/birdclef24-convnextv2", "kernel_id": "56462338"}, {"ref": "yashgajjar7/birdclef-mel", "kernel_id": "56788704"}, {"ref": "max1mum/pytorch-custom-model-train-5-min-train", "kernel_id": "56732643"}, {"ref": "max1mum/pytorch-infer-for-5-min-train", "kernel_id": "56732787"}, {"ref": "max1mum/train-python", "kernel_id": "56745357"}, {"ref": "salmanahmedtamu/training-0-65-0-66", "kernel_id": "56095858"}, {"ref": "amanmukati/birdclef-2024", "kernel_id": "56381245"}, {"ref": "shouvikdey21/birdclef24-kerascv-starter-train", "kernel_id": "56905072"}, {"ref": "vdevpar/birdclassifier", "kernel_id": "56179491"}, {"ref": "youchy/birds", "kernel_id": "56283248"}, {"ref": "kalrorie/birdclef2024-04", "kernel_id": "56903975"}, {"ref": "cardata/birdclef-2024-data-analysis", "kernel_id": "56676745"}, {"ref": "ismuhammadali/learning-birdclef24-efficientnet-train", "kernel_id": "57533905"}, {"ref": "pmathur/india-region-lat-lon-only-to-capture-dialect-train", "kernel_id": "57213761"}, {"ref": "adhok93/inference-using-mobilenetv2", "kernel_id": "57815350"}, {"ref": "theoviel/birdclef-2024-inf-ens", "kernel_id": "57245916"}, {"ref": "jasonchris1988/selfmix-high-mid-low", "kernel_id": "57743198"}, {"ref": "arindamroy23/pretrain-eff0-unsup-contra", "kernel_id": "57663940"}, {"ref": "furioussavenger/birdclef-pytorch-train", "kernel_id": "57829520"}, {"ref": "denizbora/how-to-submit-to-birdclef-2024", "kernel_id": "57138347"}, {"ref": "cedricvincent/pytorch-data-augmentation-on-cpu-gpu", "kernel_id": "57607847"}, {"ref": "rushikeshdane20/streamlit-web-application-geospatial-analysis", "kernel_id": "57431405"}, {"ref": "seoyunje/birdclef-2024-audio-starter", "kernel_id": "57041939"}, {"ref": "bohdanosmuk/image-net-cnn-rnn", "kernel_id": "57841936"}, {"ref": "manojpal2323/birdclef-2024", "kernel_id": "57771349"}, {"ref": "mikaelrajakhan/notebook12ccef4760", "kernel_id": "57009557"}, {"ref": "jeffersusus/0-6500", "kernel_id": "57079888"}, {"ref": "renjiroowen/train-weight-mobilenetv3", "kernel_id": "57999078"}, {"ref": "renjiroowen/infer-mobilenetv3", "kernel_id": "57999139"}, {"ref": "ismuhammadali/birdclef-24-efficientnet-xgboost-train", "kernel_id": "58235133"}, {"ref": "pmathur/india-region-lat-lon-to-capture-dialect-inf", "kernel_id": "58708222"}, {"ref": "adhok93/inference-for-5-second-records", "kernel_id": "58184986"}, {"ref": "geelon/baseline-model", "kernel_id": "58079419"}, {"ref": "pondelion/minimal-submit-sample-mfcc-sklearn", "kernel_id": "58546938"}, {"ref": "pondelion/spectrogram-vq-encoder-nanogpt-infer", "kernel_id": "58796645"}, {"ref": "zhzhzh1/assgiment-infer-5s", "kernel_id": "58567061"}, {"ref": "kapenon/bc2024-libs-kapenon", "kernel_id": "58820307"}, {"ref": "jasonchris1988/33selfmix-high", "kernel_id": "58403792"}, {"ref": "jasonchris1988/2selfmix-high-mid", "kernel_id": "58360584"}, {"ref": "jasonchris1988/nocturnal-preds-inter-mix-high-mid-low", "kernel_id": "58348336"}, {"ref": "jasonchris1988/2nocturnal-inter-mix-high-mid-low", "kernel_id": "58345028"}, {"ref": "jasonchris1988/nocturnal-selfmix-high-mid-low", "kernel_id": "58342977"}, {"ref": "faisalkhan001/birdclefakcnn", "kernel_id": "58334954"}, {"ref": "virajkadam/birdclef2024-extract-features-using-phi-3", "kernel_id": "58648966"}, {"ref": "virajkadam/birdclef-2024-extenstive-eda", "kernel_id": "58648968"}, {"ref": "lenferdetroud/new-torch-jit-submission-nf", "kernel_id": "58706127"}, {"ref": "lenferdetroud/birdclef-2024", "kernel_id": "58706308"}, {"ref": "shenyjoy/0605abirdclef24-kerascv-starter-score", "kernel_id": "58963186"}, {"ref": "shenyjoy/0605bbirdclef24-kerascv-starter-train-9aa880", "kernel_id": "58974089"}, {"ref": "shenyjoy/0605bbirdclef24-kerascv-starter-infer-39d4a9", "kernel_id": "58974186"}, {"ref": "glitchr/yamnet-birdclef-2024-fold-train", "kernel_id": "58515717"}, {"ref": "arsenabkerimov5/notebook0a0bc654cd", "kernel_id": "58475221"}, {"ref": "liuyixijia/birdclef24-pretraining-is-all-you-need909909", "kernel_id": "58640705"}, {"ref": "liuyixijia/birdclef24-ikun-pretraining-is-all-you-need-002", "kernel_id": "58517400"}, {"ref": "liuyixijia/909birdclef24-ikun-pretraining-is-all-you-nee", "kernel_id": "58690764"}, {"ref": "liuyixijia/fork-of-909birdclef24-ikun-pretraining-is-all-you", "kernel_id": "58724351"}, {"ref": "wengsilu/newbirdclef24pretraining-infer", "kernel_id": "58888686"}, {"ref": "wengsilu/newbirdclef24pretraining", "kernel_id": "58975535"}, {"ref": "skanderkaroui/birdclef24-skander-s-attempt-train", "kernel_id": "58535798"}, {"ref": "shubhamchauhan22222/eca-nfnet-l0-training-0-65-0-66", "kernel_id": "58398783"}, {"ref": "dinushitj/birdclef24-infer-v1", "kernel_id": "58987652"}, {"ref": "dinushitj/birdclef24-train-v1", "kernel_id": "58986635"}, {"ref": "atuhori/notebook71f45e4d1a", "kernel_id": "58493347"}, {"ref": "junaidtkhan/birdclef-2024-junaid", "kernel_id": "58673273"}, {"ref": "aadityaporwal/silver-medal-solution-25th-place", "kernel_id": "58699035"}, {"ref": "seoyunje/birdclef2024-audio-pytorch", "kernel_id": "58346129"}, {"ref": "seoyunje/birdclef-2024-how-to-make-spectrograms-from-audio", "kernel_id": "58495289"}, {"ref": "amrithanandini/path-to-ensemble", "kernel_id": "58348909"}, {"ref": "rabipathak/gecia-submission-xg-boost-train", "kernel_id": "58512088"}, {"ref": "jeffersusus/birdclef-starter-notebook", "kernel_id": "58188297"}, {"ref": "shinny5624/infer", "kernel_id": "58695366"}, {"ref": "shanzhongzhaojack/bird-song", "kernel_id": "58707273"}, {"ref": "shanzhongzhaojack/bird-song-prediction", "kernel_id": "58961257"}, {"ref": "renjiroowen/infer-xception", "kernel_id": "58337756"}, {"ref": "renjiroowen/train-weight-xception", "kernel_id": "58337473"}, {"ref": "renjiroowen/infer-inceptionv3", "kernel_id": "58402781"}, {"ref": "renjiroowen/train-weight-inceptionv3", "kernel_id": "58402807"}, {"ref": "maryambouch/birdclassifier", "kernel_id": "58328935"}, {"ref": "engkingsley/birdclef24-efficientnetv2-b3-20-x-20-infer", "kernel_id": "58963675"}, {"ref": "masabnasim/ml-projectv1", "kernel_id": "58807130"}, {"ref": "kerenshang/birdclef2024-efficientvitm5", "kernel_id": "58371881"}, {"ref": "lucyking2000/forkbirdclef-starter-notebook", "kernel_id": "58096156"}, {"ref": "cpmpml/birdclef24-237", "kernel_id": "59095475"}, {"ref": "cpmpml/birdclef-2024-inf-ens-08", "kernel_id": "59479497"}, {"ref": "acmiyaguchi/dsgt-birdclef-2024-package-sync", "kernel_id": "59183818"}, {"ref": "acmiyaguchi/dsgt-birdclef-2024-model-sync", "kernel_id": "59701896"}, {"ref": "ambisinistra/birdnet-inference", "kernel_id": "59468134"}, {"ref": "ambisinistra/pseudolabelling", "kernel_id": "59883029"}, {"ref": "lihaoweicvch/lhw-final-en6-onnx", "kernel_id": "59059317"}, {"ref": "vishalbakshi/birdclef-2024-recap-0-61-final-lb-score", "kernel_id": "59494200"}, {"ref": "christofhenkel/bc-weights-ch-pl-13", "kernel_id": "59296245"}, {"ref": "cooolz/5nd-solution", "kernel_id": "59825494"}, {"ref": "theoviel/birdclef-2024-onnx-safe", "kernel_id": "59424404"}, {"ref": "theoviel/birdclef-2024-onnx-risky", "kernel_id": "59424499"}, {"ref": "kapenon/bc2024-8th-place-solution-kapenon", "kernel_id": "59532279"}, {"ref": "caodongpeng/competition", "kernel_id": "59002061"}, {"ref": "caodongpeng/competiton-lstm", "kernel_id": "59236405"}, {"ref": "yokuyama/quantization-exp", "kernel_id": "59244127"}, {"ref": "yokuyama/quant-valid-synthetic-data", "kernel_id": "59277671"}, {"ref": "sietseschrder/v2birdinference-ensemble", "kernel_id": "59364848"}, {"ref": "faisalkhan001/birdclefakcnninfer", "kernel_id": "59271492"}, {"ref": "virajkadam/birdclef2024-extracting-spectograms-and-eda", "kernel_id": "59109584"}, {"ref": "followjohn/birdclef-2024-training", "kernel_id": "59167933"}, {"ref": "mos3santos/fork-of-birdclef", "kernel_id": "59463396"}, {"ref": "chemrovkirill/birdclef-2024-1st-place-inference", "kernel_id": "59992295"}, {"ref": "seanobr/ssamba-submit", "kernel_id": "59902632"}, {"ref": "samvelkoch/birdclef-interactive-leaderboard-and-shake-up-plot", "kernel_id": "59494896"}, {"ref": "wengsilu/birdclef-2024-species-identification", "kernel_id": "59035795"}, {"ref": "wengsilu/birdclef2024", "kernel_id": "59457084"}, {"ref": "glaubennn/bird-classification-efficientnet", "kernel_id": "59153783"}, {"ref": "dinushitj/birdclef24-train-v2-add-aug", "kernel_id": "59308444"}, {"ref": "dinushitj/birdclef24-infer-v3-lr", "kernel_id": "59313517"}, {"ref": "dinushitj/birdclef24-train-v3-lr", "kernel_id": "59312758"}, {"ref": "dinushitj/birdclef24-train-v5-lr-pre", "kernel_id": "59441556"}, {"ref": "dinushitj/birdclef24-infer-v5-lr-pre", "kernel_id": "59443477"}, {"ref": "dinushitj/birdclef24-train-v4-dropout", "kernel_id": "59430633"}, {"ref": "dinushitj/birdclef24-infer-v2-add-aug", "kernel_id": "59429787"}, {"ref": "dinushitj/birdclef24-infer-v4-dropout", "kernel_id": "59432411"}, {"ref": "levireid/birdclef24-train", "kernel_id": "59499914"}, {"ref": "anjalivalmiki/birdclif-2024-anjali", "kernel_id": "59524968"}, {"ref": "sidhantdabas177/birdclef24-kerascv-starter-train", "kernel_id": "59397225"}, {"ref": "rudrakar/birdclef-24-vgg19-train", "kernel_id": "59463879"}, {"ref": "rudrakar/birdclef-24-eda", "kernel_id": "59454568"}, {"ref": "rudrakar/birdclef-24-efficientnet-b0", "kernel_id": "59452676"}, {"ref": "rudrakar/birdclef-24-wide-resnet50-training", "kernel_id": "59426305"}, {"ref": "rudrakar/birdclef-2024-training", "kernel_id": "59371399"}, {"ref": "rudrakar/birdclef-2024-inference", "kernel_id": "59385797"}, {"ref": "rudrakar/birdclef-2024-dataset-preparation", "kernel_id": "59287413"}, {"ref": "levi1635551/model-final-submission", "kernel_id": "59931254"}, {"ref": "naimaadardour/bird-s-classification", "kernel_id": "59385314"}, {"ref": "jaysangeetha/birdclef-2024-spectrograms-imagenet-run", "kernel_id": "59877305"}, {"ref": "engkingsley/efficientnetv2-b2-using-incorrect-weights", "kernel_id": "59945415"}, {"ref": "mariotsaberlin/bc24-2nd-place-refactored", "kernel_id": "60578403"}, {"ref": "mariotsaberlin/bc24-2nd-place-refactored-2models", "kernel_id": "60578666"}, {"ref": "caodongpeng/competetion-vgg16", "kernel_id": "60107344"}, {"ref": "caodongpeng/competition-only-vgg16", "kernel_id": "60142488"}, {"ref": "caodongpeng/competition-lr-updating", "kernel_id": "60183713"}, {"ref": "yokuyama/bc24-4th-place", "kernel_id": "60691148"}, {"ref": "easterharry/resnet18", "kernel_id": "60242193"}, {"ref": "niclove/inference", "kernel_id": "60379380"}, {"ref": "niclove/train", "kernel_id": "60276167"}, {"ref": "sidhantdabas177/notebookdc1caf2388", "kernel_id": "60313139"}, {"ref": "ethancrivelli/birdclef24-efficientnet-v2", "kernel_id": "60457967"}, {"ref": "easterharry/preprocess-google-model", "kernel_id": "61695184"}, {"ref": "indhujasidh/birdcleff24-stage-1", "kernel_id": "64694421"}, {"ref": "indhujasidh/birdcleff24-stage-2", "kernel_id": "64694110"}, {"ref": "chanirugmanamperi/chaniru-2-birdclef-24", "kernel_id": "64495240"}, {"ref": "thisalchandupa/birdnew2024", "kernel_id": "64423132"}, {"ref": "anupdhoble15/7thsemproject", "kernel_id": "65495319"}, {"ref": "ruweima/birdclef24-vggish-embedding", "kernel_id": "67998592"}, {"ref": "shrutimurarka/birdclef", "kernel_id": "68205974"}, {"ref": "angemshen/birdclef-2024-simple-mel-spectrogram-generator", "kernel_id": "69677034"}, {"ref": "olivierstaehli/google-bird-vocalization-classifier-model-77-acc", "kernel_id": "71407796"}, {"ref": "balajikartheek/birds-classification-through-voice", "kernel_id": "72300990"}, {"ref": "rahul0409/notebook-2", "kernel_id": "72332639"}, {"ref": "biansun/how-to-inference-mllm-multimodalllm-llava-phi3", "kernel_id": "73096834"}, {"ref": "manojpal2323/efficientnet-model", "kernel_id": "75489947"}, {"ref": "hakandogan/bclef24-pytorch-cnn-inference", "kernel_id": "76273004"}, {"ref": "alexkagozi/spectrogrammethod", "kernel_id": "76611907"}, {"ref": "suhaaskarthikeyan/bird-call-classification-audio", "kernel_id": "77546039"}, {"ref": "seshurajup/birdclef-2020-2025-all-training-extra-npy-dataset", "kernel_id": "78317615"}, {"ref": "iris21/birdclef-2024-1st-place-inference", "kernel_id": "80720430"}, {"ref": "shiinehata/sample-submission", "kernel_id": "82806018"}, {"ref": "trtuanq/birdcelf2025-train", "kernel_id": "82472136"}, {"ref": "yutongzhang20080108/google-bird-vocalization-classifier-clean", "kernel_id": "83679064"}, {"ref": "sorachatworasan/training-0-65-0-66", "kernel_id": "83228526"}, {"ref": "luchozm22/birdclef2024-audio-clasification", "kernel_id": "85910271"}, {"ref": "niket47/birdclef-2025-using-efficient-v2", "kernel_id": "86123633"}, {"ref": "rahulmaneesh/mobilevit-tests", "kernel_id": "89551678"}, {"ref": "rahulmaneesh/birdnetcheck", "kernel_id": "92615170"}, {"ref": "rafaeltinajeroaga/bird-call-mae-test-heads", "kernel_id": "103818716"}, {"ref": "a1016999145/bird-voice-classification-train", "kernel_id": "103559215"}, {"ref": "shamaniks/notebook13c44b6854", "kernel_id": "110767957"}, {"ref": "eslamelokpy/birdclef2026-v26c", "kernel_id": "112142232"}, {"ref": "muhammadsaadalvi/birdclef-2026-wildsound-v8", "kernel_id": "112170120"}, {"ref": "martinaolivato/baseline-training-kerascv", "kernel_id": "115819856"}, {"ref": "piyushjain4/birdclef-mega-ensemble-benchmark", "kernel_id": "116922087"}, {"ref": "piyushjain4/birdclef-day-2-zero-shot-evaluation", "kernel_id": "116882388"}, {"ref": "piyushjain4/birdclef-day-2-extract-embeddings", "kernel_id": "116873953"}, {"ref": "piyushjain4/birdclef-day-1-setup-and-smoketest", "kernel_id": "116869334"}, {"ref": "piyushjain4/birdclef-day-2-extract-182-species", "kernel_id": "116973327"}, {"ref": "piyushjain4/birdclef-day-5-head-training", "kernel_id": "116972628"}, {"ref": "samithsachidanandan/transforming-audio-to-mel-spec-birdclef-26", "kernel_id": "117308412"}, {"ref": "piyushjain4/pull-gbif-wg-eval", "kernel_id": "117059449"}, {"ref": "piyushjain4/birdnet-zero-shot-submission", "kernel_id": "117130990"}, {"ref": "piyushjain4/birdclef-day-5-mlp-head-submission", "kernel_id": "117164513"}, {"ref": "piyushjain4/birdclef-day-7-ablation-study", "kernel_id": "117162267"}, {"ref": "piyushjain4/fork-of-birdclef-day-3-soundscape-benchmark", "kernel_id": "117271673"}, {"ref": "piyushjain4/fork-of-birdclef-day-3-soundscape-benchma-646b5e", "kernel_id": "117286378"}, {"ref": "martinaolivato/stage-3-multi-stage-pretraining-kerascv", "kernel_id": "117513516"}, {"ref": "martinaolivato/stage-2-multi-stage-pretraining-kerascv", "kernel_id": "117512837"}, {"ref": "account1243/train", "kernel_id": "117140961"}, {"ref": "tahaanwar3/project2", "kernel_id": "118543710"}, {"ref": "tasniemahmedhamed/birdclef24-kerascv-starter-train", "kernel_id": "119612977"}, {"ref": "yousefkoriem/nn-project2", "kernel_id": "119639261"}, {"ref": "khadeja5/project2-birdclef", "kernel_id": "119648549"}, {"ref": "samafadel/birdclassification", "kernel_id": "119722695"}, {"ref": "sleemhashem/sound-recognition-task", "kernel_id": "119697077"}, {"ref": "mostafaali10/bird-sound-classification-project", "kernel_id": "119642503"}, {"ref": "pharah7x/project-2", "kernel_id": "119627362"}, {"ref": "omniaragab/project2", "kernel_id": "119653372"}, {"ref": "marly8888/finalbrideproject2neural", "kernel_id": "119707492"}, {"ref": "ahmahmoud/project-2-nn-amira-hassan-mahmoud-231064", "kernel_id": "119641533"}, {"ref": "hanaatahaah/sound-recognition", "kernel_id": "119281940"}, {"ref": "marwashaban25/project2-nn", "kernel_id": "119460770"}, {"ref": "aborady/notebook139dc1cc83", "kernel_id": "119536358"}, {"ref": "esraamohamed225555/notebook7dafac189a", "kernel_id": "119615674"}, {"ref": "hajerfathi/nn-proj2", "kernel_id": "119729690"}, {"ref": "ahmedmahero/project02", "kernel_id": "119719180"}, {"ref": "samejimatink0/birdclef-2026-hgnetv2-b0-pretrain", "kernel_id": "120653190"}, {"ref": "martinaolivato/stage-4-multi-stage-pretraining-sed", "kernel_id": "120878009"}, {"ref": "vmkhoa28/dsp-project", "kernel_id": "124081563"}, {"ref": "salmabekri/projet-dl", "kernel_id": "124538624"}, {"ref": "jennyyila/notebook149927cb53", "kernel_id": "127832628"}, {"ref": "jennyyila/yamnet-frozen-lightgbm-export", "kernel_id": "127981643"}, {"ref": "jaysonchen1997/bird-jayson-fastai", "kernel_id": "127622565"}, {"ref": "vikramzharis/sholakili-1", "kernel_id": "127310023"}, {"ref": "vikramzharis/notebook4e30bfbdf6", "kernel_id": "132176637"}, {"ref": "valkblox/notebook669705fad7", "kernel_id": "132411657"}, {"ref": "valkblox/notebook33b378da6a", "kernel_id": "132480336"}, {"ref": "valkblox/notebooka2ce027c8a", "kernel_id": "132512134"}, {"ref": "valkblox/notebook7aacb2df3d", "kernel_id": "132560339"}, {"ref": "valkblox/notebookfc4d4fc4ae", "kernel_id": "133082357"}, {"ref": "valkblox/notebook101cf98b98", "kernel_id": "133025595"}, {"ref": "sachalafargue/projet-oiseau", "kernel_id": "135815364"}]}
{"competition_id": "70277", "kernels": []}
{"competition_id": "70278", "kernels": []}
{"competition_id": "70282", "kernels": []}
{"competition_id": "70353", "kernels": [{"ref": "goncaloafonso23/workshop-code", "kernel_id": "50719199"}]}
{"competition_id": "70361", "kernels": []}
{"competition_id": "70367", "kernels": [{"ref": "cyberia/eda-adc2024", "kernel_id": "63248018"}, {"ref": "seshurajup/neurips-eda", "kernel_id": "63242843"}, {"ref": "seshurajup/neurips-sample-submission-local-cv", "kernel_id": "63244348"}, {"ref": "stpeteishii/neurlips-ariel-data-quick-view", "kernel_id": "63697670"}, {"ref": "jnesbit6/sensor-noise-correction", "kernel_id": "63245724"}, {"ref": "mpwolke/adc-2024-ariel-challenge-matshow", "kernel_id": "63251951"}, {"ref": "arminajdehnia/neurlps-eda", "kernel_id": "63335564"}, {"ref": "hugowjd/neurips-ariel-2024-starter", "kernel_id": "63343756"}, {"ref": "nicolesy/0807-start-eda-idea-with-fgs1-parquet", "kernel_id": "63504552"}, {"ref": "ambrosm/adc24-quickstart", "kernel_id": "63337026"}, {"ref": "ambrosm/adc24-intro-training", "kernel_id": "63401924"}, {"ref": "ambrosm/adc24-intro-inference", "kernel_id": "63405002"}, {"ref": "khoatran311/visualize-the-signals-ch0-and-fgs1", "kernel_id": "63256689"}, {"ref": "abrafey/data-analysis-and-convolution-model", "kernel_id": "63260937"}, {"ref": "gauravatavale/neurips-eda-beginner-guide-to-start-the-project", "kernel_id": "63362658"}, {"ref": "levantaokkz/adc24", "kernel_id": "63450041"}, {"ref": "kaanhho/subset-creation", "kernel_id": "63527775"}, {"ref": "gordonyip/update-calibrating-and-binning-astronomical-data", "kernel_id": "63465185"}, {"ref": "ytguihkjk/neurips-sample-submission-local-cv", "kernel_id": "63358737"}, {"ref": "sergeifironov/ariel-local-purple-hat-inference", "kernel_id": "64162151"}, {"ref": "sergeifironov/ariel-only-correlation", "kernel_id": "64844854"}, {"ref": "andrewmatteson/ariel24-fast-clean-data-4-5-sec-pl", "kernel_id": "64263779"}, {"ref": "asimandia/adc24-test-uncertainty-is-different", "kernel_id": "64260855"}, {"ref": "ymatioun/ariel-ym-nn1", "kernel_id": "64297835"}, {"ref": "umar47/adc24-seq2seq", "kernel_id": "64153580"}, {"ref": "ymdhryk/adc2024-fast-calibration-with-jax", "kernel_id": "64204432"}, {"ref": "ilu000/ariel24-data-prep-fixed-dt", "kernel_id": "64174946"}, {"ref": "ilu000/ariel24-pip-installs", "kernel_id": "64187158"}, {"ref": "ilu000/ariel24-find-transit-zones-full-code", "kernel_id": "64437314"}, {"ref": "hideyukizushi/ad24-train-inf-ridge-addfe-lb-441", "kernel_id": "64634693"}, {"ref": "regisvargas/fork-of-neurips-ariel-2024-starter-5be123", "kernel_id": "64735418"}, {"ref": "takumimukaiyama/calibrating-and-binning-astronomical-data", "kernel_id": "64265906"}, {"ref": "rezanl/code-find-transition-zone-using-derivatives", "kernel_id": "64468518"}, {"ref": "royalacecat/adc24-intro-inference-add-feature", "kernel_id": "64173115"}, {"ref": "royalacecat/adc24-training-with-add-feature", "kernel_id": "64174545"}, {"ref": "royalacecat/comparison-of-different-regression-algorithm", "kernel_id": "64374598"}, {"ref": "xiaocao123/neurips-ariel-2024-starter", "kernel_id": "64324313"}, {"ref": "junyama09143/neurips-datavisalize-japanese", "kernel_id": "64623444"}, {"ref": "subhanjan33/3d-cosmic-signal-analysis-calibration", "kernel_id": "64304849"}, {"ref": "horikitasaku/ariel-pytorch-train", "kernel_id": "64334000"}, {"ref": "syednazmussakib/loading-data-simple-data-analysis", "kernel_id": "64713612"}, {"ref": "nikitavet/neurips-2024-eda-features-extraction", "kernel_id": "64434281"}, {"ref": "vedprakash9334/simple-solution", "kernel_id": "64216364"}, {"ref": "rahulselvakumar12345/ariel-data-challenge-data-processing", "kernel_id": "64156415"}, {"ref": "wuzhangming/neurips-ariel-2024-starter", "kernel_id": "64488656"}, {"ref": "gordonyip/calibrating-a-single-observation", "kernel_id": "64145896"}, {"ref": "gordonyip/host-starter-solution", "kernel_id": "64342977"}, {"ref": "aaronjday/update-calibrating-and-binning-astronomical-data", "kernel_id": "64235233"}, {"ref": "esotericcarbon/automatic-detection-of-transit-period-detrending", "kernel_id": "64186016"}, {"ref": "bingyuniu/neurips-ariel-2024-starter-withdifferentparametr", "kernel_id": "64368281"}, {"ref": "bingyuniu/baseline-more-feature-train", "kernel_id": "64294247"}, {"ref": "bingyuniu/baseline-with-more-feature-r2-0-995-lb-0-428", "kernel_id": "64308625"}, {"ref": "marwanashref/neurips-comp-acc-97", "kernel_id": "64372892"}, {"ref": "sergeifironov/mobilenet-training", "kernel_id": "65409865"}, {"ref": "fabiendaniel/adc24-polyfit-inference", "kernel_id": "65862165"}, {"ref": "lblhandsome/30min-faster-data-processing", "kernel_id": "65157238"}, {"ref": "hideyukizushi/ariel-only-correlation-paramupd-9-22imprvelb-522", "kernel_id": "65426942"}, {"ref": "khosiyatsabirova/arielneurips-2024-model", "kernel_id": "65161745"}, {"ref": "leetolo/adc-24-eda-v1-vis-img-over-time", "kernel_id": "65142348"}, {"ref": "qishna/ridge-and-lr-with-feature-engineering", "kernel_id": "65819026"}, {"ref": "kalininvladislav/neurips-2024", "kernel_id": "65333278"}, {"ref": "xiaocao123/ariel-data-challenge-2024", "kernel_id": "65526809"}, {"ref": "xiaocao123/lb-0-545", "kernel_id": "65825388"}, {"ref": "lancelot03/data-loading-cleaning-and-visualization-pipeline", "kernel_id": "65683299"}, {"ref": "walrus123/ariel-data-challenge-data-processing", "kernel_id": "65852765"}, {"ref": "inancolak/calibration-the-signals-ariel-data-challenge", "kernel_id": "65171142"}, {"ref": "igor2704/mysolution", "kernel_id": "65766126"}, {"ref": "yunsuxiaozi/nadc2024-starter", "kernel_id": "65264599"}, {"ref": "bibhumohapatra18/baseline-first-submission", "kernel_id": "65366512"}, {"ref": "jaejohn/ariel-only-correlation-lb-0-515", "kernel_id": "65343562"}, {"ref": "raidenb/ariel-data-challange", "kernel_id": "65476903"}, {"ref": "nickshapiro/exoplanet-data-analysis-and-convolution-model", "kernel_id": "65145488"}, {"ref": "nsking20/neurips-ariel-data-challenge-2024", "kernel_id": "65227372"}, {"ref": "imayushsaxena/1-2-submission", "kernel_id": "65815182"}, {"ref": "natanlabarrere/ariel-submission-11th-place", "kernel_id": "65169631"}, {"ref": "hehao111/neurips-ariel-2024-starter", "kernel_id": "65098124"}, {"ref": "sergeifironov/ariel-train-clean-full", "kernel_id": "66898812"}, {"ref": "fabiendaniel/adc24-polyfit-2d-cnn-inference", "kernel_id": "66460628"}, {"ref": "rostepifanov/simple-torch-neural-network", "kernel_id": "66883604"}, {"ref": "avishekalbany/arielgll-1-15", "kernel_id": "66242424"}, {"ref": "tarktanrver/aerial-data-challange", "kernel_id": "66948552"}, {"ref": "shlezinger/exoplanets-2024", "kernel_id": "66329950"}, {"ref": "zxl2022/fork-of-neurips-ariel-data-challenge-2024-first-zx", "kernel_id": "66996668"}, {"ref": "inductiveanks/data-complete-walkthrough", "kernel_id": "66226857"}, {"ref": "inductiveanks/calibration-detailed-walkthrough", "kernel_id": "66250316"}, {"ref": "walrus123/week1-data-observation-and-preprocessing", "kernel_id": "66302212"}, {"ref": "prashantkumaryt/neuritis1-ariel-data-challenge-1-2024", "kernel_id": "66283273"}, {"ref": "tsasidharreddybunny/bunnys6472", "kernel_id": "66518226"}, {"ref": "imayushsaxena/submission-1-1", "kernel_id": "66004133"}, {"ref": "muhammaddawood42/adc24-intro-training", "kernel_id": "66239356"}, {"ref": "krisfangkx/ariel-only-correlation", "kernel_id": "66152798"}, {"ref": "leodingh/ariel-dh", "kernel_id": "66477817"}, {"ref": "ginc77/ariel-ensemble-of-solutions-14ab2a", "kernel_id": "66645545"}, {"ref": "vitalykudelya/neurips-ariel-data-correlation-parallel-scale", "kernel_id": "67984798"}, {"ref": "zeemeen/ariel-2024-calibrated", "kernel_id": "67452697"}, {"ref": "zeemeen/ariel-2024-regress-with-sigma", "kernel_id": "67956003"}, {"ref": "tobimichigan/neurips-ariel-data-challenge-2024-cnn-metrics", "kernel_id": "67898768"}, {"ref": "yxyyxy/inference-for-adc2024", "kernel_id": "67382879"}, {"ref": "kieranyogaraj/neurips-ariel-data-challenge-2024-training", "kernel_id": "67664895"}, {"ref": "arsenypoyda/ariel-inference-9th-place", "kernel_id": "67413860"}, {"ref": "olehkivernyk/zfit-install", "kernel_id": "67743789"}, {"ref": "amordia/update-calibrating-and-binning-astronomical-data", "kernel_id": "67474717"}, {"ref": "feiwenxuan/ariel-ensemble-of-solutions-brief-version", "kernel_id": "67159084"}, {"ref": "miuunno/my-adc-training", "kernel_id": "67361027"}, {"ref": "miuunno/my-adc-inference", "kernel_id": "67440447"}, {"ref": "aristotlechen/simplified-version-ariel-ensemble", "kernel_id": "67363168"}, {"ref": "sergeifironov/ariel-11-fts-pdf-crit-inference", "kernel_id": "68033516"}, {"ref": "sergeifironov/fillna-9fts-wide-fix-detector", "kernel_id": "68099404"}, {"ref": "jpmiller/convolution-model", "kernel_id": "68111954"}, {"ref": "zeemeen/ariel-calib", "kernel_id": "68325120"}, {"ref": "bilokin/metricstudy", "kernel_id": "68434093"}, {"ref": "gromml/neurips-scale-sigmas", "kernel_id": "68437405"}, {"ref": "yamashitamotokazu/correlation-linear-train", "kernel_id": "68129067"}, {"ref": "ipprojectgrp7/fork-of-fork-of-neurips-ariel-data-correl-29f466", "kernel_id": "68754012"}, {"ref": "ipprojectgrp7/ariel-only-correlation-kaustubh-preproc", "kernel_id": "68019590"}, {"ref": "fedirkyrychenko/code-competition", "kernel_id": "68033943"}, {"ref": "xiaoboyu/neurips-learning", "kernel_id": "68057549"}, {"ref": "hehao111/neurips-ariel-data-correlation-parallel-scale", "kernel_id": "68039284"}, {"ref": "ashleyw1234aw/update-calibrating-and-binning-astronomical-data", "kernel_id": "68079006"}, {"ref": "jxiesd/combination-of-1d-cnn-and-2d-cnn-on-ariel2024", "kernel_id": "69520080"}, {"ref": "sergeifironov/new-blend-pdf", "kernel_id": "69422406"}, {"ref": "ren4yu/ariel-2024-sub-ensemble", "kernel_id": "69408018"}, {"ref": "jiazhuang/adc2024-fix-window-weights-finetuning", "kernel_id": "69334799"}, {"ref": "thegrey/ad24-eleventh", "kernel_id": "69170813"}, {"ref": "w5833946/adc-final-reproduce", "kernel_id": "69459626"}, {"ref": "benbla/neurips-ariel-data-correlation-parallel-sigma", "kernel_id": "69525016"}, {"ref": "kieranyogaraj/neurips-ariel-data-challenge-2024-testing", "kernel_id": "69391183"}, {"ref": "cnumber/neurips-ariel-data-challenge-2024-final-submission", "kernel_id": "69717802"}, {"ref": "fritzcremer/ariel-shakeup", "kernel_id": "69492264"}, {"ref": "shlomoron/adc24-ensemble", "kernel_id": "69783744"}, {"ref": "shlomoron/adc24-model-3-postprocessing", "kernel_id": "69755116"}, {"ref": "shlomoron/adc24-model-3", "kernel_id": "69755155"}, {"ref": "shlomoron/adc24-model-2-postprocessing", "kernel_id": "69751161"}, {"ref": "shlomoron/adc24-model-1-postprocessing", "kernel_id": "69657974"}, {"ref": "shlomoron/adc24-model-2", "kernel_id": "69659941"}, {"ref": "shlomoron/adc24-preprocessing", "kernel_id": "69611525"}, {"ref": "kangourous/ariel-19th-place-solution-curve-fitting", "kernel_id": "69592404"}, {"ref": "skril31/adc-2024-space-coders-labels-generation", "kernel_id": "69645585"}, {"ref": "skril31/adc-2024-space-coders", "kernel_id": "69870125"}, {"ref": "yamashitamotokazu/39th-place-solution-submission-code", "kernel_id": "69350395"}, {"ref": "egorgij21/ariel-final-top10", "kernel_id": "69674005"}, {"ref": "junglebeastds/ariel-data-challenge-2024-submission-v7", "kernel_id": "69394729"}, {"ref": "jeroencottaar/ariel-2nd-place-visualization-notebook", "kernel_id": "69599168"}, {"ref": "jeroencottaar/ariel-2nd-place-submission-notebook", "kernel_id": "69598957"}, {"ref": "jain99/nuer-ips", "kernel_id": "69441253"}, {"ref": "tobegold574/neurips-fine-grained", "kernel_id": "69148845"}, {"ref": "hehao111/nips-sub", "kernel_id": "69698333"}, {"ref": "sergeifironov/ariel-gll-train", "kernel_id": "70021986"}, {"ref": "jiazhuang/ariel-train", "kernel_id": "70161531"}, {"ref": "jiazhuang/ariel-signal-preprocessing", "kernel_id": "70099394"}, {"ref": "ilu000/neurips-ariel24-5th-place-solution-inference", "kernel_id": "70018858"}, {"ref": "ilu000/neurips-ariel24-5th-place-solution-train", "kernel_id": "70019231"}, {"ref": "ilu000/neurips-ariel24-data-prep-5th-place-solution", "kernel_id": "70003332"}, {"ref": "ilu000/ariel24-data-augmentation-5th-place-solution", "kernel_id": "70009838"}, {"ref": "mummyee/notebookbeb83b9419", "kernel_id": "70926465"}, {"ref": "miuunno/neurips-ariel-data-challenge-2024-final-submission", "kernel_id": "70242372"}, {"ref": "irasharma/neurips", "kernel_id": "71994727"}, {"ref": "mummyee/arielsubmission", "kernel_id": "71878022"}, {"ref": "mummyee/adc24-intro-training-eda", "kernel_id": "71951476"}, {"ref": "mummyee/neurips-ariel-2024-starter", "kernel_id": "71761619"}, {"ref": "cysgynn/adc24-intro-training", "kernel_id": "71819588"}, {"ref": "cysgynn/ad24-train-inf-ridge-addfe-lb-441", "kernel_id": "71610055"}, {"ref": "zhangzhengtao/week1-data-observation-and-preprocessing", "kernel_id": "71581114"}, {"ref": "scuwangjohan/1d-2dcnnmethod", "kernel_id": "72506049"}, {"ref": "irasharma/transitdata-errors", "kernel_id": "74695617"}, {"ref": "irasharma/neurips-ariel-exploratory-analysis", "kernel_id": "74689614"}, {"ref": "aryanm2004/exoplanet-data-analysis-and-convolution-model", "kernel_id": "80936324"}, {"ref": "armor1/deeep", "kernel_id": "81209015"}, {"ref": "siwooyong/nips-adc-inference", "kernel_id": "86339889"}, {"ref": "hopzombee/23bai1250", "kernel_id": "97129178"}, {"ref": "thesukuna/ariel-data-challenge-stage-2", "kernel_id": "136429106"}, {"ref": "thesukuna/ariel-data-challenge-stage-1", "kernel_id": "136377320"}]}
{"competition_id": "70374", "kernels": [{"ref": "farisalahmdi/ai-generated-text-baseline", "kernel_id": "51119481"}, {"ref": "tthien/easy-sklearn", "kernel_id": "61329822"}, {"ref": "gaamoucimohamed/human-ai-text-classification", "kernel_id": "75858756"}]}
{"competition_id": "70379", "kernels": [{"ref": "sakibbai/getting-started-for-ml-olympiad-2024-bangladesh", "kernel_id": "51628638"}, {"ref": "samratabduljalil/starter-notebook-forecasting-using-deep-learning", "kernel_id": "51536795"}, {"ref": "taufikurrahmanfuad/getting-started-for-ml-olympiad-2024-bangladesh", "kernel_id": "51595515"}, {"ref": "omorfaru/eda-forecasting-bangaldesh-s-weather", "kernel_id": "51563473"}, {"ref": "habiburrahamanfahim/ml-olympiad-on-forecasted-weather-of-bangladesh", "kernel_id": "52800301"}, {"ref": "shakibabsar42/weather-forecasting-rainfall-prediction", "kernel_id": "53601528"}, {"ref": "saziii/ml-olympiad-forecasting-bangladesh-s-weather", "kernel_id": "82719533"}]}
{"competition_id": "70387", "kernels": [{"ref": "markuskim/mnist-submit", "kernel_id": "51975644"}, {"ref": "atanumondal01/ncr-python-numeric-character-recognition-ncr", "kernel_id": "51405165"}, {"ref": "tarndeepsingh16/numeric-character-recognition-ncr", "kernel_id": "51002239"}, {"ref": "killa92/f1-0-99-ncr-data-analysis-vis-classification", "kernel_id": "52462694"}]}
{"competition_id": "70389", "kernels": []}
{"competition_id": "70402", "kernels": []}
{"competition_id": "70497", "kernels": [{"ref": "khineaindrayhtun/segmentation-assisted-transfer-learning", "kernel_id": "50876833"}, {"ref": "kkamal2003/csc532-fruits-categorical-classification-2024", "kernel_id": "50906521"}, {"ref": "almastohi/53-almas-fruites-categories-inceptionv3", "kernel_id": "50896110"}, {"ref": "rnubis/kunsee-34-fruits-categorical-inceptionv3-keras", "kernel_id": "50871890"}, {"ref": "kanyaratp29/257-kanyarat-csc532", "kernel_id": "50872265"}, {"ref": "supaseksamurai88/31-supasek-fruits-categories-with-kerastuner", "kernel_id": "52438713"}, {"ref": "emadsrageldein/classification-vgg16-inceptionv3-for-beginners", "kernel_id": "52998595"}, {"ref": "dylanyves/fruites-clustering-pipeline-visualization", "kernel_id": "53566910"}, {"ref": "pituchaimitpakdee/264-csc532-pituchai", "kernel_id": "53403704"}, {"ref": "alkidiarete/fruits-categorical-fastai", "kernel_id": "53048705"}, {"ref": "kaungmyatkyaw/apples-mobilenetv2", "kernel_id": "55083395"}, {"ref": "kaungmyatkyaw/banana-resnet101v2", "kernel_id": "56682955"}, {"ref": "kaungmyatkyaw/apples-xception", "kernel_id": "56650736"}, {"ref": "kaungmyatkyaw/apples-inceptionv3", "kernel_id": "56651030"}, {"ref": "kaungmyatkyaw/apples-resnet101v2", "kernel_id": "56651246"}, {"ref": "kaungmyatkyaw/oranges-xception", "kernel_id": "56652404"}, {"ref": "kaungmyatkyaw/oranges-inceptionv3", "kernel_id": "56652470"}, {"ref": "kaungmyatkyaw/allfruits-mobilenetv2", "kernel_id": "56481215"}, {"ref": "kaungmyatkyaw/oranges-mobilenetv2", "kernel_id": "56480326"}, {"ref": "kaungmyatkyaw/2-stage-ensemble-inference", "kernel_id": "56484243"}, {"ref": "kaungmyatkyaw/oranges-resnet101v2", "kernel_id": "57149709"}, {"ref": "kaungmyatkyaw/banana-mobilenetv2", "kernel_id": "57142472"}, {"ref": "kaungmyatkyaw/banana-xception", "kernel_id": "57142280"}, {"ref": "kaungmyatkyaw/banana-inceptionv3", "kernel_id": "57142042"}, {"ref": "kaungmyatkyaw/allfruits-resnet101v2", "kernel_id": "57152436"}, {"ref": "kaungmyatkyaw/allfruits-xception", "kernel_id": "57152617"}, {"ref": "pituchaimitpakdee/bonus-assignment-only-with-data-camp", "kernel_id": "57703773"}, {"ref": "dylanyves/double-step-fruit-prediction", "kernel_id": "58353203"}]}
{"competition_id": "70502", "kernels": []}
{"competition_id": "70555", "kernels": [{"ref": "thomasmeiner/robots-eda-feature-engineering-modelling", "kernel_id": "50928513"}, {"ref": "thomasmeiner/robots-survival-use-estimated-parameters", "kernel_id": "51004797"}, {"ref": "thomasmeiner/robots-survival-original-features", "kernel_id": "51044990"}]}
{"competition_id": "70573", "kernels": [{"ref": "samratabduljalil/starter-notebook-bhashamul-bengali-regional-ipa", "kernel_id": "50913065"}, {"ref": "emammame/nlp-ninjas-notebook", "kernel_id": "50924596"}, {"ref": "sadiaahmmed1709/bhashamul-team-apocalypse-training", "kernel_id": "50983495"}, {"ref": "muhtasirimran/bashamul-2", "kernel_id": "51283318"}, {"ref": "muhtasirimran/bashamul-3-ensambling-bagging", "kernel_id": "51405286"}, {"ref": "sabikunmonisha/bengali-ipa", "kernel_id": "51130877"}, {"ref": "abdullaharean/team-khita-kortesi-training-no-validation", "kernel_id": "51745793"}, {"ref": "abdullaharean/team-khita-kortesi-training-with-validation", "kernel_id": "51746538"}, {"ref": "abdullaharean/team-khita-kortesi-inference-notebook-final", "kernel_id": "51638275"}, {"ref": "samansarkerjoy/inference-bhashamul-regipa-two-braincells", "kernel_id": "51737677"}, {"ref": "samansarkerjoy/training-bhashamul-regipa-two-braincells", "kernel_id": "51738026"}, {"ref": "sakibbai/inference-gemma-ipa", "kernel_id": "51592666"}, {"ref": "sakibbai/fine-tune-gemma-models-in-keras-using-lora", "kernel_id": "51231384"}, {"ref": "sakibbai/bhashamool-eda-with-wordclouds", "kernel_id": "51272769"}, {"ref": "niazmohaimanabtahi/elemenopi-training-inference-notebook-uiu", "kernel_id": "51744014"}, {"ref": "abrarjahinniloy/team-cristiano-ronaldo-training-and-inference", "kernel_id": "51725949"}, {"ref": "samratabduljalil/abc-bhashamul", "kernel_id": "51571197"}, {"ref": "samratabduljalil/abc-bhashamul-ipa", "kernel_id": "51788666"}, {"ref": "smjishanulislam/bhashamul-team-apocalypse-inference-notebook", "kernel_id": "51471300"}, {"ref": "smjishanulislam/bhashamul-inference-template-hf", "kernel_id": "51713077"}, {"ref": "rakibulislammrkbil/bhashamul-bangla-dialect-to-ipa", "kernel_id": "51778298"}, {"ref": "sibgatulislam/bhashamul-inference-0", "kernel_id": "51254809"}, {"ref": "sibgatulislam/bhashamul-eda", "kernel_id": "51421352"}, {"ref": "sibgatulislam/byt5-ben-to-ipa", "kernel_id": "51419113"}, {"ref": "sadib2506/bengali-ipa-to-audio-model-0", "kernel_id": "52786798"}, {"ref": "rafihassan/elite-enigmas-kuet-bitfest", "kernel_id": "73372989"}, {"ref": "tanbeerjubaer/oshin-thesis-2-0", "kernel_id": "73490439"}, {"ref": "habijabii/district-classification", "kernel_id": "77121612"}]}
{"competition_id": "70583", "kernels": [{"ref": "thomasmeiner/robots-bluecast-phase-ii", "kernel_id": "51414778"}, {"ref": "thomasmeiner/robots-survival-original-features-phase-ii", "kernel_id": "51253487"}, {"ref": "thomasmeiner/robots-estimated-parameters-phase-ii", "kernel_id": "51893767"}]}
{"competition_id": "70655", "kernels": [{"ref": "venkatkumar001/begin-with-tfidf-logisticregression", "kernel_id": "50978765"}, {"ref": "venkatkumar001/ml-olympiad-2-simpletransformer-bert", "kernel_id": "50978182"}, {"ref": "mohammedessam97/ml-olympiad-transformer-starter", "kernel_id": "51129183"}, {"ref": "mohamedalibelloum/llm-hallucinations", "kernel_id": "52221592"}, {"ref": "alenic/xgboost-baseline", "kernel_id": "53218396"}, {"ref": "aymanelotfi/finetuning-gemma-to-detect-halluciations", "kernel_id": "53994419"}, {"ref": "ruchikathakur07/begin-with-tfidf-logisticregression", "kernel_id": "54489404"}, {"ref": "hchuminhnht/tfidf-baseline", "kernel_id": "92694662"}, {"ref": "dmitryshilovsky/0-84739-part-2-detect-hallucinations-in-llm", "kernel_id": "116206899"}, {"ref": "dmitryshilovsky/0-84739-part-1-detect-hallucinations-in-llm", "kernel_id": "116203874"}, {"ref": "dmitryshilovsky/0-84739-blending-detect-hallucinations-in-llm", "kernel_id": "116212502"}]}
{"competition_id": "70681", "kernels": [{"ref": "anasalmana/3rd-place-solution-tuwaiq-academy", "kernel_id": "51108930"}, {"ref": "marammnm/predict-completion-of-tuwaiq-programs", "kernel_id": "51477857"}, {"ref": "malaak/imbalance-xgboost", "kernel_id": "51640821"}, {"ref": "farisalahmdi/lgbm-baseline-eda", "kernel_id": "51166652"}, {"ref": "farisalahmdi/extensive-hype-tuning", "kernel_id": "51210145"}, {"ref": "triblex/xgboost-model", "kernel_id": "51296991"}, {"ref": "raghadalenazi/tuwaiq-challenges", "kernel_id": "51161975"}, {"ref": "amanimira/notebook9cba3bd435", "kernel_id": "51084725"}, {"ref": "triblex/tuing-xgboost-model", "kernel_id": "52491848"}, {"ref": "ahmadalmansouri/tuwaiq-challenge-ar-team", "kernel_id": "52090062"}, {"ref": "mohammad2012191/lgbm-solution-tuwaiq-challenge", "kernel_id": "53681510"}, {"ref": "karlcini/2nd-place-solution-tuwaiq-challenge", "kernel_id": "53710370"}, {"ref": "ahmedalghali/catboost-model-allocation-predications-9th-place", "kernel_id": "53091366"}, {"ref": "abdurhmanalghamdi/twaiq-competition", "kernel_id": "53187855"}, {"ref": "abrarghandurah/tuwaiqchallange", "kernel_id": "53634074"}, {"ref": "hamadalsh/avanced-explorotary-data-analysis", "kernel_id": "53159922"}, {"ref": "karamelhaj/9th-place-solution-tuwaiq-challenge", "kernel_id": "53686219"}, {"ref": "shahodahali/tuwaik-real-final-team-work", "kernel_id": "53648390"}, {"ref": "abood49311/tweeq-competition", "kernel_id": "53466684"}, {"ref": "sshougg/sdaia-task-5", "kernel_id": "54977923"}, {"ref": "heshamsadan/eda-for-6-500-students-of-tuwaiq-academy", "kernel_id": "54743635"}, {"ref": "shahodahali/tuwaiq-kaggle-ai-competition-havingfunteam", "kernel_id": "54142030"}]}
{"competition_id": "70683", "kernels": [{"ref": "vaibhavshaharwale/band-gap-prediction", "kernel_id": "51168637"}, {"ref": "melihaltn/gap-prediction", "kernel_id": "51180421"}, {"ref": "arjav007/band-gap-prediction-using-ensembles", "kernel_id": "51211744"}, {"ref": "adityagoel2205/band-gap-prediciton", "kernel_id": "51437442"}]}
{"competition_id": "70692", "kernels": [{"ref": "djellale/reference", "kernel_id": "51167831"}]}
{"competition_id": "70773", "kernels": []}
{"competition_id": "70781", "kernels": [{"ref": "dbrach/create-quick-graph-for-each-company", "kernel_id": "51423959"}, {"ref": "georgiikirsanov/use-only-test-data-time-series-top-10-score", "kernel_id": "51980750"}, {"ref": "richardlidd/quick-and-easy-data-prep-xgb-model-on-9-targets", "kernel_id": "51203128"}, {"ref": "dbrach/find-near-duplicates-in-train-and-test-data", "kernel_id": "52648536"}, {"ref": "saishsawant/financial-performances", "kernel_id": "52408783"}, {"ref": "iamtheguy/financial-performance-predictions", "kernel_id": "52826136"}, {"ref": "emish8/financial-data-prediction", "kernel_id": "52856213"}, {"ref": "jogindermehrolia/financial-performance-prediction", "kernel_id": "52423282"}, {"ref": "ujjawalsinghnirwan/financial-performance-prediction", "kernel_id": "52514385"}, {"ref": "nitishviraktamath/financial-quarter-prediction-synnax-xgboost", "kernel_id": "52600349"}, {"ref": "rijeeshkeloth/quick-and-easy-data-prep-stack-model", "kernel_id": "52458653"}, {"ref": "srikantkamatagi/financial-performance-prediction", "kernel_id": "52740299"}, {"ref": "kailashkailoo/financial-performance-prediction", "kernel_id": "52570390"}, {"ref": "poojaskills/finanical-visualization-predictions-xgbregressor", "kernel_id": "52698647"}, {"ref": "akshaykumarkona/new-script", "kernel_id": "52769407"}, {"ref": "gujurialekha/financial-performance-prediction-alekha", "kernel_id": "52780730"}, {"ref": "gujurialekha/meta-data-analysis-by-alekha", "kernel_id": "52650601"}, {"ref": "anubhav3101/task-fin", "kernel_id": "52983963"}, {"ref": "vaibhavdangar/financial-performance-prediction-using-ml", "kernel_id": "52920236"}, {"ref": "adityajaysawal/fork-of-financial-performance-prediction", "kernel_id": "52592882"}, {"ref": "pksingh18/financial-performance-prediction", "kernel_id": "52433196"}, {"ref": "anushmalipatil/anushmalipatil", "kernel_id": "52764213"}, {"ref": "pandey002/notebooke45f69250e", "kernel_id": "52440989"}, {"ref": "ryazanoff/quick-missing-data-imputation-and-model", "kernel_id": "53180458"}, {"ref": "sivanandhamrm/financial-performance-prediction", "kernel_id": "53105017"}, {"ref": "emish8/submission-financial-data-prediction", "kernel_id": "53087561"}, {"ref": "saipraveenreddyallam/financial-prediction", "kernel_id": "53125971"}, {"ref": "shanmugagouthaman/financial-performance-prediction", "kernel_id": "53395338"}, {"ref": "bhoykhushboo/financial-performance-prediction-rf", "kernel_id": "53071186"}, {"ref": "dbrach/build-income-statements-with-internal-audit", "kernel_id": "55979173"}, {"ref": "deepakreddybora/finance-performance-prediction", "kernel_id": "77216300"}]}
{"competition_id": "70799", "kernels": [{"ref": "goncaloafonso23/notebook", "kernel_id": "50996557"}]}
{"competition_id": "70807", "kernels": [{"ref": "shereenanand/sub20", "kernel_id": "51921364"}, {"ref": "hemantayuj/stonks-2", "kernel_id": "51581491"}, {"ref": "ankushsainicom/sentimental-analysis-of-news-for-the-stocks", "kernel_id": "108051317"}]}
{"competition_id": "70830", "kernels": []}
{"competition_id": "70850", "kernels": []}
{"competition_id": "70875", "kernels": []}
{"competition_id": "70877", "kernels": [{"ref": "jimgruman/skyfall", "kernel_id": "51447678"}, {"ref": "vibhorejain1/skyfall", "kernel_id": "51180700"}, {"ref": "batool6/notebook070b9af57c", "kernel_id": "51269899"}]}
{"competition_id": "70887", "kernels": [{"ref": "devbilalkhan/image-classfication-cnn", "kernel_id": "51101193"}, {"ref": "bilgingunes/image-classifications-sedan-or-pickup", "kernel_id": "84227978"}, {"ref": "arpit786/pytorch-ann-gpu", "kernel_id": "105030001"}, {"ref": "arpit786/pytorch-cnn-gpu", "kernel_id": "105106529"}, {"ref": "arpit786/optuna-pytorch-ann-gpu", "kernel_id": "105698478"}]}
{"competition_id": "70898", "kernels": [{"ref": "hrithiqgupta/hrithiq-230962300", "kernel_id": "51574997"}]}
{"competition_id": "70905", "kernels": [{"ref": "jeffheaton/chatgpt-starter-ages", "kernel_id": "51086129"}, {"ref": "lifanliao2/notebook86383bfecb", "kernel_id": "54766993"}, {"ref": "senasudemir/age-prediction", "kernel_id": "76385505"}, {"ref": "mesutbagl/age-prediction", "kernel_id": "79171538"}, {"ref": "penbenur/age-prediction", "kernel_id": "80240080"}, {"ref": "icomert/age-prediction-transfer-learning-augmentation", "kernel_id": "80703693"}, {"ref": "ugurcan95/age-prediction", "kernel_id": "81306774"}, {"ref": "bilgingunes/applications-of-deep-learning-wustl-spring-2024", "kernel_id": "84831816"}]}
{"competition_id": "70906", "kernels": [{"ref": "gopidurgaprasad/olympiad-predicting-wellness", "kernel_id": "53286474"}, {"ref": "abhishekrp1517/wellness-prediction-regression-with-automl", "kernel_id": "54230692"}, {"ref": "abhishekrp1517/wellness-prediction-regression-analysis", "kernel_id": "54044899"}, {"ref": "enesyama/predictingwellnessregression", "kernel_id": "109097383"}]}
{"competition_id": "70907", "kernels": [{"ref": "danipipe777/tutoria-1-af-ii-2024-i", "kernel_id": "51084994"}, {"ref": "danipipe777/tutoria-1-af-ii-2024-i-svc", "kernel_id": "52748404"}, {"ref": "danipipe777/tutoria-1-af-ii-2024-i-nn", "kernel_id": "53680065"}, {"ref": "danipipe777/tutoria-1-af-ii-2024-ii-svc-nn", "kernel_id": "64343258"}, {"ref": "danipipe777/tutoria-1-af-ii-2024-ii-base", "kernel_id": "65079241"}]}
{"competition_id": "70921", "kernels": [{"ref": "vibhorejain1/ml-olympiad", "kernel_id": "51173881"}]}
{"competition_id": "70924", "kernels": [{"ref": "wglddwz/hw2dogwbw", "kernel_id": "52174291"}, {"ref": "wglddwz/wbwdog2", "kernel_id": "52227505"}, {"ref": "chloeyxy/7028hw2", "kernel_id": "52209111"}, {"ref": "zhzyi0/homework2", "kernel_id": "52931321"}, {"ref": "tangffffffffff/tang-fang-3036166616", "kernel_id": "52929775"}]}
{"competition_id": "70937", "kernels": []}
{"competition_id": "70939", "kernels": []}
{"competition_id": "70942", "kernels": [{"ref": "aerdem4/cibmtr-lofo-feature-importance-gpu-accelerated", "kernel_id": "72369316"}, {"ref": "mtinti/shaply-values-interactions", "kernel_id": "72522637"}, {"ref": "mtinti/xgboost-catboost-baseline-cv-668-lb-668", "kernel_id": "72316960"}, {"ref": "mtinti/test-different-targets", "kernel_id": "72438509"}, {"ref": "mtinti/cibmtr-lofo-feature-importance-gpu-accelerated", "kernel_id": "72406782"}, {"ref": "rgoodman/post-hct-survival-eda", "kernel_id": "72678287"}, {"ref": "taimour/cibmtr-automl-h2o-step-by-step-explained", "kernel_id": "72296020"}, {"ref": "yekenot/cibmtr-deeptables-nn", "kernel_id": "72763854"}, {"ref": "docxian/cibmtr-let-s-try-out-different-models", "kernel_id": "72297814"}, {"ref": "ayumushiraishi/cibmtr-simple-eda", "kernel_id": "72284065"}, {"ref": "ayumushiraishi/cibmtr-catboost-baseline-ayumu-walker", "kernel_id": "72285964"}, {"ref": "revathiprakash/cibmtr-hct-survival-prediction-eda-pycox", "kernel_id": "72529811"}, {"ref": "cdeotte/xgboost-catboost-baseline-cv-668-lb-668", "kernel_id": "72279321"}, {"ref": "cdeotte/pip-install-lifelines", "kernel_id": "72280169"}, {"ref": "cdeotte/nn-mlp-baseline-cv-670-lb-676", "kernel_id": "72409379"}, {"ref": "cdeotte/gpu-lightgbm-baseline-cv-681-lb-685", "kernel_id": "72531983"}, {"ref": "inabower/cibmtr-submission-test", "kernel_id": "72456708"}, {"ref": "inabower/cibmtr-features", "kernel_id": "72560140"}, {"ref": "inabower/cibmtr-featureidea", "kernel_id": "72578030"}, {"ref": "trongnghia7171/xgbm-ensemble", "kernel_id": "72681094"}, {"ref": "omarvivas/lgbm-modelsurv-v1", "kernel_id": "72518520"}, {"ref": "ern711/cibmtr-multitarget-baseline", "kernel_id": "72387523"}, {"ref": "ern711/cibmtr-4-custom-loss-functions", "kernel_id": "72875288"}, {"ref": "ern711/cibmtr-custom-loss-multitarget", "kernel_id": "72980911"}, {"ref": "shiwayz/lb-0-663-coxphf-model", "kernel_id": "72841951"}, {"ref": "mpwolke/allo-hct-indices", "kernel_id": "72275374"}, {"ref": "ozhiro/tabnet-baseline", "kernel_id": "72727714"}, {"ref": "takanashihumbert/cibmtr-using-official-metric-in-tree-based-models", "kernel_id": "72675528"}, {"ref": "cid007/cibmtr-eda-and-bl", "kernel_id": "72282263"}, {"ref": "wguesdon/cibmtr-imports", "kernel_id": "72571687"}, {"ref": "lumierebatalong/equitable-survival-prediction-1st-part", "kernel_id": "72560853"}, {"ref": "benjenkins96/understanding-survival-analysis", "kernel_id": "72412108"}, {"ref": "tom99763/eda-with-hdbscan", "kernel_id": "72666474"}, {"ref": "tom99763/survival-analysis-kmf-aft-coxph", "kernel_id": "72954842"}, {"ref": "p1ayer0ne/cibmtr-cox-ph", "kernel_id": "72874589"}, {"ref": "sierra022/make-sense-of-data", "kernel_id": "72362957"}, {"ref": "mkatsura/hct-katsura-models-stack", "kernel_id": "72775073"}, {"ref": "nischaydnk/cibmtr-catboost-baseline", "kernel_id": "72273331"}, {"ref": "ahmedesso/dnn-cibmtr", "kernel_id": "72328915"}, {"ref": "thomasmeiner/cibmtr-bluecast-baseline", "kernel_id": "72294756"}, {"ref": "thomasmeiner/cibmtr-catboost-with-survivalaft-loss", "kernel_id": "72379354"}, {"ref": "jonatanf/cibmtr-neural-network-jonatanf", "kernel_id": "72333501"}, {"ref": "colorfuldra/cibmtr-autogluon", "kernel_id": "72378183"}, {"ref": "colorfuldra/pip-install-lifelines", "kernel_id": "72383587"}, {"ref": "colorfuldra/cibmtr-h2o", "kernel_id": "72912205"}, {"ref": "albansteff/pytorch-implementation-of-nn-baseline", "kernel_id": "72801220"}, {"ref": "muhammadimran112233/cibmtr-baseline-code", "kernel_id": "72280030"}, {"ref": "yuogawa/cibmtr-eda-and-simple-catboost-model-v1", "kernel_id": "72388643"}, {"ref": "jaehun123/allogeneic-hct-survival-prediction", "kernel_id": "72294519"}, {"ref": "ambrosm/esp-eda-which-makes-sense", "kernel_id": "72342487"}, {"ref": "ravi20076/cibmtr2024-public-imports-v1", "kernel_id": "72275907"}, {"ref": "ravi20076/cibmtr2024-baseline-v1", "kernel_id": "72276127"}, {"ref": "milannagy/cibmtr-isolationforest-xgbregression-polars", "kernel_id": "72801233"}, {"ref": "rv1922/cibmtr-hct-survival-a-deep-dive-into-eda", "kernel_id": "72301489"}, {"ref": "rahulpatil5908/cibmtr-randomforest-and-catboost", "kernel_id": "72290246"}, {"ref": "jaquayviuscoleman/hcts-predic", "kernel_id": "72843633"}, {"ref": "stechparme/survival-analysis-with-r", "kernel_id": "72538807"}, {"ref": "oliviergu/cibmtr-og-test-1", "kernel_id": "72859806"}, {"ref": "oliviergu/cibmtr-og-eda", "kernel_id": "72304610"}, {"ref": "codevcph/cibmtr-ensemble-models", "kernel_id": "72713668"}, {"ref": "codevcph/cibmtr-pytorch-neural-network", "kernel_id": "72706443"}, {"ref": "gaganbajwaa/fork-of-cibmtr-ensemble", "kernel_id": "72915072"}, {"ref": "gaganbajwaa/cimbtr-ensemble-kfold", "kernel_id": "72990763"}, {"ref": "horikitasaku/cv0-665-lb0-666-cat-xgb-with-aft-loss-function", "kernel_id": "72487173"}, {"ref": "yongsukprasertsuk/0-686-cibmtr-abdbase-cat-optuna-tuning", "kernel_id": "72960508"}, {"ref": "nabinoli2004/cibmtr", "kernel_id": "72977007"}, {"ref": "yunsuxiaozi/cibmtr-yunbase", "kernel_id": "72283839"}, {"ref": "prabhakarnimmagadda/equity", "kernel_id": "72695470"}, {"ref": "mccasey/cibmtr-data-exploration", "kernel_id": "72863772"}, {"ref": "samanfatima7/cibmtr-bridging-gaps-in-survival", "kernel_id": "72634320"}, {"ref": "ichigoe/cibmtr-deeptables-baseline", "kernel_id": "72288045"}, {"ref": "polygot13/hct-medical-analysis", "kernel_id": "72565546"}, {"ref": "davidmunozj/cibmtr-lifelines-baseline-offline", "kernel_id": "72554751"}, {"ref": "davidmunozj/cibmtr-pycox-baseline-nn-for-survival-analysis", "kernel_id": "72838296"}, {"ref": "shrishh/cibmtr-catboost", "kernel_id": "72319891"}, {"ref": "i2nfinit3y/cibmtr-hillclimbing-ensemble-cv-0-679-lb-0-685", "kernel_id": "72743423"}, {"ref": "gagandeep44489/cibmr-xb-boost", "kernel_id": "72288748"}, {"ref": "abdmental01/6-models-ensemble-cv-0-6796-lb-0-685", "kernel_id": "72377055"}, {"ref": "abdmental01/abdbase-single-lgbm-cv-0-678-lb-0-683", "kernel_id": "72415374"}, {"ref": "abdmental01/abdbase-single-cat-cv-0-679-lb-0-686", "kernel_id": "72362711"}, {"ref": "tdeshpan/cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "72281730"}, {"ref": "emanoelcarvalholopes/cibmtr-logistic-regression-prediction", "kernel_id": "72338827"}, {"ref": "abdullah0a/decreasing-mse-prediction-in-hct", "kernel_id": "72403483"}, {"ref": "isabelocastillo/baseline-rf-submission-cv0-739-lb0-624", "kernel_id": "72704854"}, {"ref": "andreasbis/cibmtr-eda-ensemble-model", "kernel_id": "72275515"}, {"ref": "raghunandan9605/video-recommendation-model", "kernel_id": "72546538"}, {"ref": "mohammedahmedxx12/cibmtr", "kernel_id": "72565584"}, {"ref": "shresthajeevan/survival-analysis", "kernel_id": "72882447"}, {"ref": "anhpknu/cox-ridge", "kernel_id": "72905945"}, {"ref": "ravesandstorm/0-626-lb-simple-xgbclassifier-regressor", "kernel_id": "72317196"}, {"ref": "rukmaltharaka/survival-prediction", "kernel_id": "72972337"}, {"ref": "raysajulga/cibmtr-efs-prediction", "kernel_id": "72797815"}, {"ref": "meetbabariya/data-augmentation", "kernel_id": "72791954"}, {"ref": "donnbryanjulian/cibmtr-11and-up", "kernel_id": "72379624"}, {"ref": "shaynahe/cibmtr-v1", "kernel_id": "72757679"}, {"ref": "danielnmedeiros/notebook-versao5", "kernel_id": "72973296"}, {"ref": "noureddineridanr96/cibmtr-baseline-risk-prediction", "kernel_id": "72462312"}, {"ref": "shawn077/nchu-cibmtr", "kernel_id": "72991989"}, {"ref": "juliasuchi/cibmtr-catboost-baseline", "kernel_id": "72298898"}, {"ref": "matthieuouvrard/notebook7865bb6e1b", "kernel_id": "72882570"}, {"ref": "fejust/scikit-survival-getting-started", "kernel_id": "73694896"}, {"ref": "fejust/scikit-survival-getting-started-utilities", "kernel_id": "73695010"}, {"ref": "cv13j0/cibmtr-random-survival-forest", "kernel_id": "73609657"}, {"ref": "cv13j0/cibmtr-whl-files-for-installation", "kernel_id": "73544828"}, {"ref": "cv13j0/cibmtr-gbdt-model-features", "kernel_id": "73455046"}, {"ref": "isaranja/cibmtr-starter-pack-by-ama", "kernel_id": "73888369"}, {"ref": "sun9sun9/calculating-concordance-index-using-pandas", "kernel_id": "73867102"}, {"ref": "yekenot/cibmtr-tabm-nn", "kernel_id": "73108961"}, {"ref": "ryzhokhina/cibmtr-baseline", "kernel_id": "73168244"}, {"ref": "ryzhokhina/cibmtr-baseline-2", "kernel_id": "73704094"}, {"ref": "cevangelist/cibmtr-eda-and-base-regression-model", "kernel_id": "73318163"}, {"ref": "omarvivas/cb-rmse-modelsurv-v1", "kernel_id": "73878686"}, {"ref": "ern711/other-target-transformations", "kernel_id": "73393218"}, {"ref": "stpeteishii/cibmtr-lgbm-optuna-for-submission", "kernel_id": "73200711"}, {"ref": "stpeteishii/cibmtr-histplot", "kernel_id": "73154519"}, {"ref": "stpeteishii/cibmtr-post-hct-survival-visualize-importance", "kernel_id": "73156008"}, {"ref": "gunesevitan/cibmtr-inference", "kernel_id": "73671444"}, {"ref": "chaki18081999/eda-in-detail-and-random-forest-baseline", "kernel_id": "73391331"}, {"ref": "dristi0705/cibmtr-baseline-model-catboost-cv-0-678-lb-0-686", "kernel_id": "73319661"}, {"ref": "dristi0705/cibmtr-baseline-catboost-cv-0-671-lb-0-677", "kernel_id": "73381464"}, {"ref": "dristi0705/cibmtr-catboost-rmse-nelsonaalen-cv-673-lb-68", "kernel_id": "73904116"}, {"ref": "rohitdileep/lightgbm-kaplanmierfitter", "kernel_id": "73722912"}, {"ref": "mehrankazeminia/2-cibmtr-survival-analysis", "kernel_id": "73581941"}, {"ref": "mehrankazeminia/1-cibmtr-eda", "kernel_id": "73223809"}, {"ref": "mehrankazeminia/3-cibmtr-coxphfitter", "kernel_id": "73690300"}, {"ref": "santoshagarwal/notebookb93fd02fc6", "kernel_id": "73090132"}, {"ref": "tom99763/latentdirichletallocation-experiment", "kernel_id": "73602877"}, {"ref": "koralkulacoglu/cibmtr-data-analysis", "kernel_id": "73068199"}, {"ref": "kiyoshiimada/eda-cibmtr", "kernel_id": "73560763"}, {"ref": "hieunguyendq/deterministic-and-generative-data-imputation", "kernel_id": "73227009"}, {"ref": "corneliuantonescu/pycaret-xg-cb-lg-0-681", "kernel_id": "73785418"}, {"ref": "albowsunowski/cibmtr-baseline-with-lightautoml-xgb-cat-and-nn", "kernel_id": "73573254"}, {"ref": "udaken10/classification-regression", "kernel_id": "73358984"}, {"ref": "udaken10/catboost-12-25-lgbm-xbg", "kernel_id": "73577182"}, {"ref": "udaken10/first-lightgbm-lgbm", "kernel_id": "73091661"}, {"ref": "udaken10/version12-30-1", "kernel_id": "73812751"}, {"ref": "udaken10/regression-classification", "kernel_id": "73709877"}, {"ref": "ranjitrjadhawar/p-hctsurvival-data", "kernel_id": "73536146"}, {"ref": "annamowat/finding-polynomial-relationships", "kernel_id": "73007503"}, {"ref": "mmarkie2/cibmtr-scikit-pipeline-catboost-encoder-lightgbm", "kernel_id": "73730441"}, {"ref": "mrkidou/hct-pred-notebook", "kernel_id": "73692802"}, {"ref": "mrkidou/hct-survival-predictions", "kernel_id": "73690866"}, {"ref": "martynovandrey/cibmtr-eda-feature-engineering", "kernel_id": "73445841"}, {"ref": "barbagrande007/bbg007-hct-survival-predictions", "kernel_id": "73018594"}, {"ref": "act18l/breslow-estimator-is-noteworthy-cv-6802-lb-686", "kernel_id": "73795113"}, {"ref": "lorispanza/simple-transformer-from-tabular-data", "kernel_id": "73721708"}, {"ref": "akelsayed/ak-prediction-3", "kernel_id": "73504769"}, {"ref": "akelsayed/ak-prediction-4", "kernel_id": "73560299"}, {"ref": "akelsayed/ak-2-equity-in-post-hct-survival-predictions", "kernel_id": "73795514"}, {"ref": "akelsayed/ak-prediction-5", "kernel_id": "73654619"}, {"ref": "akelsayed/ak-prediction-6", "kernel_id": "73655476"}, {"ref": "akelsayed/ak-1-equity-in-post-hct-survival-predictions", "kernel_id": "73756878"}, {"ref": "akelsayed/ak-prediction-7", "kernel_id": "73702199"}, {"ref": "akelsayed/ak-prediction-8", "kernel_id": "73707383"}, {"ref": "maksudmalik/cibmtr-esp-xgb-cb-lgbm", "kernel_id": "73586713"}, {"ref": "oliviergu/cibmtr-og-3", "kernel_id": "73637465"}, {"ref": "raniahelmy/cibmtr-eda-feature-importance", "kernel_id": "73346597"}, {"ref": "raniahelmy/cbmtr-coxph", "kernel_id": "73367545"}, {"ref": "aadityagupta11/hct-prediction-a409c0", "kernel_id": "73708044"}, {"ref": "johnnyhyland/ohe-cibmtr-pymc", "kernel_id": "73997025"}, {"ref": "horikitasaku/check-wrong-samples", "kernel_id": "73556552"}, {"ref": "yongsukprasertsuk/0-689-cibmtr-3-cox-loss-recalculatehla", "kernel_id": "73461621"}, {"ref": "lucasdataartist/eda-based-on-xai-post-hct-survival", "kernel_id": "73551215"}, {"ref": "lucasdataartist/modeling-post-hct-survival-cv-679-lb-684", "kernel_id": "73559050"}, {"ref": "lucasdataartist/xai-model-inspection-post-hct-survival", "kernel_id": "73514931"}, {"ref": "kendontcare11/cnn-from-tabular-data", "kernel_id": "73580718"}, {"ref": "kendontcare11/pattern-of-the-missing-values", "kernel_id": "73087152"}, {"ref": "mccasey/cibmtr-hazardrisk", "kernel_id": "73096959"}, {"ref": "dmitryshibaev/start-with-lightgbm", "kernel_id": "73644140"}, {"ref": "thnhtt/cibmtr-eda-ensemble-model", "kernel_id": "73947052"}, {"ref": "amankumarjha2020/cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "73832021"}, {"ref": "mikhailnaumov/cibmtr-ensemble", "kernel_id": "73158604"}, {"ref": "ravaghi/cibmtr-equity-in-post-hct-survival-ridge", "kernel_id": "73937748"}, {"ref": "i2nfinit3y/cibmtr-tabm-nn-model-cv-0-6769-lb-0-685", "kernel_id": "73068851"}, {"ref": "trantraa/xgb-with-cross-validation", "kernel_id": "73855604"}, {"ref": "ojizou003/cibmtr-lightgbm", "kernel_id": "73296708"}, {"ref": "anil27/hct-prediction", "kernel_id": "73604593"}, {"ref": "shuvosaha1234/hct-survival-prediction", "kernel_id": "73945732"}, {"ref": "muhammadfurqan0/cracking-survival-codes-eda-for-equity-insight", "kernel_id": "73518275"}, {"ref": "isabelocastillo/catboost-baseline", "kernel_id": "73738469"}, {"ref": "isabelocastillo/optimizar-lightgbm-primer-modelo-base", "kernel_id": "73149308"}, {"ref": "isabelocastillo/xgboost-baseline", "kernel_id": "73205029"}, {"ref": "sunnyvarnawal/hct-survival-eda-model-building", "kernel_id": "73414798"}, {"ref": "nguyenlan1211/post-hct-survival-prediction-single-xgb", "kernel_id": "73524989"}, {"ref": "ywj990309/cibmtr-submit", "kernel_id": "73508580"}, {"ref": "dmtrrskv/hail-mary-ensemble-w-target-transfm", "kernel_id": "73061688"}, {"ref": "torufujiyoshi/cibmtr-ensemble", "kernel_id": "73888717"}, {"ref": "johnsonmugarra2/equity-post-hct-survival-predictions", "kernel_id": "73675016"}, {"ref": "akhilsakthieswaran/cibmtr", "kernel_id": "73513547"}, {"ref": "akhilsakthieswaran/xgb-catboost-lgbm-ensemble", "kernel_id": "73610454"}, {"ref": "madhavarora03/cibmtr-tabm-nn-model-0-681", "kernel_id": "73124769"}, {"ref": "krishnayadav456wrsty/cibmtr-hct-survival-solution", "kernel_id": "73639644"}, {"ref": "dianalionel/post-hct-survival-prediction", "kernel_id": "73182207"}, {"ref": "alexchilton/survival-predictions-xgboost", "kernel_id": "73114098"}, {"ref": "alexchilton/group-with-race", "kernel_id": "73158334"}, {"ref": "alexchilton/group-by-race-competition-metric", "kernel_id": "73221515"}, {"ref": "takamiyoshitada/20241231", "kernel_id": "73841653"}, {"ref": "vikashverma82/post-hct-survival-prediction-xgboost", "kernel_id": "73935758"}, {"ref": "moridata/simple-but-good-results-survival-predictions-0-684", "kernel_id": "73131746"}, {"ref": "danielnmedeiros/notebooke1d671e600", "kernel_id": "73085124"}, {"ref": "danielnmedeiros/notebook-triple-algorithm", "kernel_id": "73000244"}, {"ref": "yousefkhalil0/notebooka9afcfbc43", "kernel_id": "73780536"}, {"ref": "mktsuchiya/cibmtr-1", "kernel_id": "73176414"}, {"ref": "nikitalemon/cibmtr", "kernel_id": "73193515"}, {"ref": "neutrinoneu/note-crbmtr-hct", "kernel_id": "73501324"}, {"ref": "adaubas/cibmtr-faster-concordance-index-metric-with-numba", "kernel_id": "74032348"}, {"ref": "mtinti/tabmhazard-na-from-i2nfinit3y", "kernel_id": "74150536"}, {"ref": "isaranja/cibmtr-xgb-cat-lgb-cox-ensemble-by-ama", "kernel_id": "74663295"}, {"ref": "isaranja/cibmtr-eda-by-ama", "kernel_id": "74129141"}, {"ref": "dkraynak/simple-logit-on-demo-chars-naive-binary", "kernel_id": "74544700"}, {"ref": "kumarandatascientist/new-model-cibmtr-v1-better-lb", "kernel_id": "74994144"}, {"ref": "dan3dewey/cibmtr-simple-lr-coxph-xgb-models", "kernel_id": "74644584"}, {"ref": "arka1993/ab-cimbtr-baseline-xgboost-lightgbm", "kernel_id": "74642391"}, {"ref": "pastorsoto/dataquest-starter-notebook", "kernel_id": "74830548"}, {"ref": "godzill22/cibmtr-eda-ensemble-model-analysis-0-684", "kernel_id": "74449991"}, {"ref": "maiernator/tabfn-starter", "kernel_id": "74349957"}, {"ref": "rakesh82rawat/rrc4-cibmtr-post-hct-survival-0-66", "kernel_id": "74323511"}, {"ref": "rakesh82rawat/rrc4-cibmtr-hct-survival-pred-svr-0-639", "kernel_id": "74923456"}, {"ref": "mzaoualim/ag-kmf-label-4-model-hpo-submission", "kernel_id": "74711526"}, {"ref": "winsontruong/eda-and-feature-understanding", "kernel_id": "74975554"}, {"ref": "dristi0705/cibmtr-catboost-rmse-nelson-aalen-cv-672-lb-682", "kernel_id": "74051584"}, {"ref": "carlmcbrideellis/tabpfn-2-0-1", "kernel_id": "74353609"}, {"ref": "tom99763/pip-install-mambular", "kernel_id": "74855449"}, {"ref": "jaytonde/hill-climbing", "kernel_id": "74027754"}, {"ref": "jaytonde/dt-exp-01", "kernel_id": "74444755"}, {"ref": "oluwatobibetiku/cibmtr-submission", "kernel_id": "74150790"}, {"ref": "kintaro1/cibmtr-starter", "kernel_id": "74529311"}, {"ref": "takeshiokamura/engin", "kernel_id": "74891616"}, {"ref": "albansteff/cibmtr-eda-ensemble-model-recalculate-hla", "kernel_id": "74088489"}, {"ref": "albansteff/deepsurv-baseline", "kernel_id": "74921636"}, {"ref": "roberthatch/tabpfn-install-once", "kernel_id": "74479413"}, {"ref": "roberthatch/tabpfn-and-extensions", "kernel_id": "74478767"}, {"ref": "roberthatch/pip-install-once-lifelines", "kernel_id": "74821468"}, {"ref": "youssefelzahar/cibmtr-catboost-c-index-75", "kernel_id": "74802137"}, {"ref": "youssefelzahar/cibmtr-catboost-lightboosting-c-index-75", "kernel_id": "74620433"}, {"ref": "youssefelzahar/cibmtr-survival-forest-c-index-test-data-0-806", "kernel_id": "74585214"}, {"ref": "youssefelzahar/cibmtr-coxphfitter-c-index-64", "kernel_id": "74701828"}, {"ref": "youssefelzahar/cibmtr-random-forest", "kernel_id": "74479805"}, {"ref": "youssefelzahar/cibmtr-preprocessing-and-catboost-xgboostt", "kernel_id": "74203609"}, {"ref": "ravi20076/cibmtr2024-xgblgb-corrected", "kernel_id": "74897460"}, {"ref": "rv1922/cibmtr-hct-survival-prediction-catboost", "kernel_id": "74758971"}, {"ref": "denismunene/my-survival-submission", "kernel_id": "74846255"}, {"ref": "raniahelmy/cibmtr-eda-ensemble-model-recalculate-hla", "kernel_id": "74384649"}, {"ref": "johnnyhyland/cibmtr-pymc-bayesian-with-timeclass", "kernel_id": "74801661"}, {"ref": "johnnyhyland/cibmtr-pymc-frailty-gp", "kernel_id": "74398491"}, {"ref": "johnnyhyland/cibmtr-pymc-gp2", "kernel_id": "74589597"}, {"ref": "johnnyhyland/cibmtr-pymc-frailty-hierarchical-bayesian-model", "kernel_id": "74330738"}, {"ref": "johnnyhyland/cibmtr-pymc-r2d2m2cp", "kernel_id": "74272669"}, {"ref": "johnnyhyland/cibmtr-pymc-time-varying", "kernel_id": "74206726"}, {"ref": "johnnyhyland/cibmtr-pymc-bayesian-surival", "kernel_id": "74237201"}, {"ref": "livaikira/cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "74864856"}, {"ref": "salveen/guatemala", "kernel_id": "74675990"}, {"ref": "eikyou/xgboost-lightgbm-0-6805-cv-0-684-lb", "kernel_id": "74914933"}, {"ref": "tanishkpatil/cibmtr-data-analysis", "kernel_id": "74671637"}, {"ref": "utkarshmavi/simple-catboost-with-a-score-of-0-677", "kernel_id": "74343138"}, {"ref": "korff16/brawl-stars-catboost-lgbm-ensemble", "kernel_id": "74474920"}, {"ref": "oostg0t/catboost-ensemble-lb-0-686", "kernel_id": "74796926"}, {"ref": "pankajdebroy/cibmtr-preprocessing-baseline-submission", "kernel_id": "74584795"}, {"ref": "vidu2004/cibmtr-cox-loss-weights-ensemble", "kernel_id": "74296311"}, {"ref": "stemosamaghandour/cibmtr-equity-in-post-hct-survival-pre-by-stem", "kernel_id": "74754061"}, {"ref": "qamarmath/baseline-ann-model-for-survival-prediction", "kernel_id": "74894728"}, {"ref": "nhlunng/cibmtr-eda-preprocessing-and-catboost", "kernel_id": "74405243"}, {"ref": "maoya0203/lgmb-xgb-votingreg-cv-0-683-lb-0-679", "kernel_id": "74742310"}, {"ref": "ravaghi/cibmtr-autogluon-training", "kernel_id": "74061929"}, {"ref": "giorgikurtanidze2004/cibmtr-classification", "kernel_id": "74412520"}, {"ref": "alicsahmed/cibmtr-machine-learning", "kernel_id": "74963337"}, {"ref": "bsrsrc/cibmtr", "kernel_id": "74346066"}, {"ref": "skytao1314/cibmtr", "kernel_id": "74398699"}, {"ref": "tomaszlasota/cibmtr-dsurv-fengineering", "kernel_id": "74900452"}, {"ref": "tomaszlasota/cibmtr-dsurv-fengineering-mse", "kernel_id": "74967473"}, {"ref": "ryosukekawauchi/hct-survival-prediction-ver3", "kernel_id": "74374661"}, {"ref": "tomeverson/notebook87e39b37ea", "kernel_id": "74387961"}, {"ref": "gygyygygy/cibmtr-equity-in-post-hct-survival-predictions-s", "kernel_id": "74445303"}, {"ref": "samarthpujari/cibmtr-competition", "kernel_id": "74282187"}, {"ref": "ketechy/cibmtr-post-hct-survival-prediction-solution", "kernel_id": "74140016"}, {"ref": "karimtaha0/cibmtr-survival-prediction-ensemble-modeling", "kernel_id": "74533014"}, {"ref": "sunshineshafy/xgboost-coxphfitter", "kernel_id": "74944083"}, {"ref": "manuelnequiz/am-final", "kernel_id": "74931105"}, {"ref": "nyeinchansoe/cibmtr-xgboost-regression-0-558", "kernel_id": "74336512"}, {"ref": "niszarkiah/submission-csv", "kernel_id": "74022245"}, {"ref": "trjanhrsehtxmustang/nn-hd1-post-survival-outcomes", "kernel_id": "74579682"}, {"ref": "trjanhrsehtxmustang/train-stemcell-model", "kernel_id": "74733561"}, {"ref": "brianedwards/hct-cdeotte-y-transform", "kernel_id": "75740257"}, {"ref": "brianedwards/hct-cv", "kernel_id": "75268406"}, {"ref": "brianedwards/hct-score", "kernel_id": "75222427"}, {"ref": "brianedwards/equity-post-hct-survival-predictions-debug-1", "kernel_id": "75142212"}, {"ref": "brianedwards/equity-post-hct-survival-predictions-submission-1", "kernel_id": "75134061"}, {"ref": "brianedwards/hct-risk-score", "kernel_id": "75595219"}, {"ref": "brianedwards/hct-lgb-3-submission", "kernel_id": "75597937"}, {"ref": "brianedwards/hct-coxnet-submit", "kernel_id": "75372188"}, {"ref": "brianedwards/hct-kaplanmeier", "kernel_id": "75412422"}, {"ref": "eraikako/a-guide-to-fair-survival-analysis-using-ml", "kernel_id": "75253255"}, {"ref": "wjones3668/cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "75200599"}, {"ref": "einherjer/other-parametric-models", "kernel_id": "75938538"}, {"ref": "haplophyrne/nn-ensemble-w-100000-iter", "kernel_id": "75941749"}, {"ref": "haplophyrne/hypertune", "kernel_id": "75904460"}, {"ref": "jaytonde/hill-climbing-submission", "kernel_id": "75145694"}, {"ref": "anubhavtyagi1212/hct-randomsurvivalforest", "kernel_id": "75152042"}, {"ref": "ryutohosokawa/xgboost-catboost-baseline-cv-668-lb-668", "kernel_id": "75288005"}, {"ref": "debobratadutta/cibmtr-lgb-xgb-ensemble", "kernel_id": "75087350"}, {"ref": "albansteff/refactoring-nn-pairwise-ranking-loss", "kernel_id": "75502875"}, {"ref": "albansteff/ranker-baseline", "kernel_id": "75156617"}, {"ref": "amitadhi/prediction-lgbm", "kernel_id": "75526737"}, {"ref": "roberthatch/cibmtr-tabmhazard-na-fixed-early-stopping", "kernel_id": "75426857"}, {"ref": "artemboltaev/test-optimal-number-of-boosting-iterations", "kernel_id": "75707968"}, {"ref": "artemboltaev/optimal-number-of-boosting-iterations", "kernel_id": "75599465"}, {"ref": "artemboltaev/error-analysis", "kernel_id": "75422576"}, {"ref": "youssefelzahar/eda-and-cleaning", "kernel_id": "75296477"}, {"ref": "takumuwakamatsu/cibmtr-wakama1994-gpu-lightgbm-baseline", "kernel_id": "75325388"}, {"ref": "omidbaghchehsaraei/autogluon-val-0-681-lb-0-688-cibmtr", "kernel_id": "75390279"}, {"ref": "nghiahoangtrung/tabka-net", "kernel_id": "75582233"}, {"ref": "nghiahoangtrung/deep-cross-network", "kernel_id": "75573137"}, {"ref": "alejandravillarreal/arc-games-training-dimensions", "kernel_id": "75066044"}, {"ref": "suzukitaichi/cibmtr2024-eda-lgbm-xgb-baseline-bin", "kernel_id": "75018304"}, {"ref": "sabyrbazarymbetov/cibmtr-baseline", "kernel_id": "75473358"}, {"ref": "sabyrbazarymbetov/cibmtr-eda", "kernel_id": "75696718"}, {"ref": "johnnyhyland/cibmtr-pymc-sksurv-inference", "kernel_id": "75474321"}, {"ref": "pedromaiorano/teste", "kernel_id": "75281195"}, {"ref": "eikyou/pytorch-cibmtr", "kernel_id": "75022233"}, {"ref": "kendontcare11/public-classifier-cat-xgb-lb-0-688", "kernel_id": "75610571"}, {"ref": "utkarshmavi/xgb-lgbm-catboost-ensemble-cv-0-688-lb-0-683", "kernel_id": "75198366"}, {"ref": "nihalkumarsharma/cibmtr", "kernel_id": "75906542"}, {"ref": "ruoxuanteng/single-nn-with-pairwise-ranking-loss-0-689-lb", "kernel_id": "75969893"}, {"ref": "garrickchinnis/equity-in-post-hct-survival-predictions", "kernel_id": "75623654"}, {"ref": "vinodkumargurjar/survival-predictions-vinod", "kernel_id": "75985946"}, {"ref": "nihalthomas15/eda-hct-survival-predictions", "kernel_id": "75582157"}, {"ref": "ismail89/first-try", "kernel_id": "75734800"}, {"ref": "aayushiweb/blood-cell-images-for-cancer", "kernel_id": "75550797"}, {"ref": "ravaghi/cibmtr-autogluon-ensembler-inference", "kernel_id": "75924487"}, {"ref": "ravaghi/cibmtr-autogluon-ensembler-training", "kernel_id": "75120660"}, {"ref": "ravaghi/cibmtr-equity-in-post-hct-survival-hill-climb", "kernel_id": "75584724"}, {"ref": "mohamedmustafashaban/cib-analysis-prediction-g-rf", "kernel_id": "75164579"}, {"ref": "poemcourt/prl-fe-global-metric", "kernel_id": "75544864"}, {"ref": "i2nfinit3y/cibmtr2024-tabm-pairwise-ranking-loss", "kernel_id": "75601108"}, {"ref": "doniagharsaldin/cibmtr-version2", "kernel_id": "75788888"}, {"ref": "wenzhenxu0119/kaggle0308", "kernel_id": "75854380"}, {"ref": "kovalenkovitaliy/cibmtr-lgbm-coxph", "kernel_id": "75002962"}, {"ref": "fahmidachowdhury/gpu-lightgbm-baseline", "kernel_id": "75904554"}, {"ref": "mayobanexsantana/cibmtr-risk-score-eda", "kernel_id": "75518161"}, {"ref": "trailkuro/hct-gmm-2cluster-lgbm-kuro-ver1", "kernel_id": "75240454"}, {"ref": "trailkuro/fork-of-hct-gmm-2cluster-lgbm-kuro-ver1", "kernel_id": "75907800"}, {"ref": "bharathsrlatentview/kaggle-coxproportionalhazards-submission", "kernel_id": "75551568"}, {"ref": "drsinglabhawnasingla/lstm-hctsurvival", "kernel_id": "75053304"}, {"ref": "jiahaopengx/bleeding", "kernel_id": "75410822"}, {"ref": "yucanyang/cibmtr", "kernel_id": "75126556"}, {"ref": "mircofia/cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "75004254"}, {"ref": "harshrajbhar/notebookc6895c104b", "kernel_id": "75920105"}, {"ref": "meetbabariya/cibmtr", "kernel_id": "75014753"}, {"ref": "meetbabariya/cibmtr-race-models", "kernel_id": "75158571"}, {"ref": "rajan3208/cibmtr-hct", "kernel_id": "75818512"}, {"ref": "kdeeee/cibmtr-eda-for-missing-values", "kernel_id": "75886882"}, {"ref": "kdeeee/pip-download-scikit-survival", "kernel_id": "75285983"}, {"ref": "kdeeee/cibmtr-random-survival-forest-rsf-baseline", "kernel_id": "75367667"}, {"ref": "naokinomurrr/fttransformer-baseline", "kernel_id": "75289234"}, {"ref": "karinasebastianmarin/notebook1", "kernel_id": "75031051"}, {"ref": "miekevandermeiden/gpu-lightgbm-baseline-imputing", "kernel_id": "75940199"}, {"ref": "shehabahmed74/cibmtr-version3", "kernel_id": "75904381"}, {"ref": "shehabahmed74/submission-1-ver-2", "kernel_id": "75980350"}, {"ref": "shehabahmed74/notebook-4-02-25", "kernel_id": "75783782"}, {"ref": "shehabahmed74/cibmtr-version2", "kernel_id": "75859731"}, {"ref": "shehabahmed74/notebook-hct-v7-2-290125", "kernel_id": "75525106"}, {"ref": "shehabahmed74/notebook-6-v1", "kernel_id": "75395501"}, {"ref": "dreamingtree/single-nn-with-pairwise-ranking-loss-0-689-lb", "kernel_id": "75450469"}, {"ref": "dreamingtree/tabm-pairwise-ranking-loss", "kernel_id": "75594033"}, {"ref": "javierojeda71/cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "75625482"}, {"ref": "brianedwards/joblib-6", "kernel_id": "76802431"}, {"ref": "brianedwards/hct-joblib-5", "kernel_id": "76787998"}, {"ref": "brianedwards/joblib-7", "kernel_id": "76803295"}, {"ref": "brianedwards/joblib-9", "kernel_id": "76807058"}, {"ref": "brianedwards/hct-conduit-01", "kernel_id": "76973227"}, {"ref": "brianedwards/hct-conduit-01-fit", "kernel_id": "76980630"}, {"ref": "brianedwards/hct-conduit-01-fit-2", "kernel_id": "76984458"}, {"ref": "brianedwards/hct-x-cat-encoding", "kernel_id": "76685335"}, {"ref": "brianedwards/hct-loo-2", "kernel_id": "76679130"}, {"ref": "brianedwards/hct-ensemble-submission", "kernel_id": "76176358"}, {"ref": "brianedwards/hct-y-transformations", "kernel_id": "76279171"}, {"ref": "ogurtsov/cibmtr-tabpfn-2-0-lb-0-676", "kernel_id": "76855342"}, {"ref": "kumarandatascientist/hct-survival-prediction-pipeline", "kernel_id": "76354651"}, {"ref": "cjrockball/tt-basic-cibmtr", "kernel_id": "76134736"}, {"ref": "sercanyesiloz/cibmtr-deep-survival-analysis-with-torchsurv", "kernel_id": "76863802"}, {"ref": "haplophyrne/refactoring-nn-pairwise-ranking-loss", "kernel_id": "76396862"}, {"ref": "haplophyrne/prediction-refactoring-nn-pairwise-ranking-loss", "kernel_id": "76480259"}, {"ref": "tom99763/cibmtr-lgb-catboost", "kernel_id": "76408047"}, {"ref": "tom99763/public-cibmtr-graph-label-propogation", "kernel_id": "76434831"}, {"ref": "ryutohosokawa/gpu-lightgbm-baseline-cv-681-lb-685", "kernel_id": "76303067"}, {"ref": "zoutain/tabm-offline", "kernel_id": "76848579"}, {"ref": "zoutain/tabm-inference", "kernel_id": "76820016"}, {"ref": "casperverhoeve/gpu-lightgbm-baseline-cv-681-lb-685", "kernel_id": "76373556"}, {"ref": "casperverhoeve/refactoring-nn-pairwise-ranking-loss", "kernel_id": "76065955"}, {"ref": "josephnehrenz/survival-analysis-catboost-model-of-cibmtr-in-r", "kernel_id": "76576022"}, {"ref": "lordxerxes/benchmark-model", "kernel_id": "76001310"}, {"ref": "albansteff/event-masked-prl-nn", "kernel_id": "76802645"}, {"ref": "stefanoclss/fork-of-autogluon-val-0-681-lb-0-688-cibmtr", "kernel_id": "76367695"}, {"ref": "roberthatch/cibmtr-yunbase", "kernel_id": "76631096"}, {"ref": "roberthatch/cibmtr-nn-odst-pairwise-save2", "kernel_id": "76284895"}, {"ref": "imincome/minimal-baseline-catboost-cibmtr", "kernel_id": "76449512"}, {"ref": "princekumar956/model-test", "kernel_id": "76826762"}, {"ref": "awxlong/ensemble-with-custom-importance-weighting", "kernel_id": "76684823"}, {"ref": "kagglemon0407/refactoring-nn-pairwise-ranking-loss", "kernel_id": "76445272"}, {"ref": "muhriddinmalik/survival-predictions-htc", "kernel_id": "76909801"}, {"ref": "nghiahoangtrung/autogluon-lib", "kernel_id": "76041761"}, {"ref": "tanujtaneja/single-model-xgboost-nelson-cv-681-lb-685", "kernel_id": "76830943"}, {"ref": "gopalkk2/notebooke8019b44a8", "kernel_id": "76497846"}, {"ref": "sabyrbazarymbetov/cibmtr-the-right-way", "kernel_id": "76465145"}, {"ref": "sabyrbazarymbetov/cibmtr-nns-can", "kernel_id": "76600759"}, {"ref": "masayakawamata/cibmtr-tabnet", "kernel_id": "76062750"}, {"ref": "haitengwang/cibmtr-efficient-net-neural-network-pytorch", "kernel_id": "76826132"}, {"ref": "bestwater/integrating-open-source-models-try-more-good-luck", "kernel_id": "76208403"}, {"ref": "adamfarrag/gpu-lightgbm-baseline-cv-681-lb-685", "kernel_id": "76422999"}, {"ref": "adamfarrag/notebook-fttransformer", "kernel_id": "76461808"}, {"ref": "yongsukprasertsuk/0-693-cibmtr-weights-ranking-ensemble", "kernel_id": "76901383"}, {"ref": "mohammadmehdizare/notebooke9568e0edb", "kernel_id": "76086203"}, {"ref": "mnjalab/single-nn-with-pairwise-ranking-loss-0-689-lb", "kernel_id": "76915820"}, {"ref": "eikyou/event-masked-prl-nn-fixed-bug-better-cv", "kernel_id": "76846842"}, {"ref": "tatsurohanada/hct-survival-prediction-lgbm-xgb-nn", "kernel_id": "76100971"}, {"ref": "lihsianghsu/linux-sksurv", "kernel_id": "76009896"}, {"ref": "decentralized/predict-survival-rates-after-hct-equitably", "kernel_id": "76678996"}, {"ref": "sabaheydaridoost/notebook139497d26b", "kernel_id": "76097466"}, {"ref": "wwshuj/deepsurv-1", "kernel_id": "76343186"}, {"ref": "zyh1104/cibmtr-nn-lgb-cat-ensemble-of-solutions", "kernel_id": "76641788"}, {"ref": "zyh1104/cibmtr-nn-test", "kernel_id": "76771692"}, {"ref": "i2nfinit3y/tabm-offline", "kernel_id": "76849364"}, {"ref": "harshitakumari256/cibmtr-feature-engineering", "kernel_id": "76006088"}, {"ref": "harshitakumari256/notebookda382f59ec", "kernel_id": "76093681"}, {"ref": "harshitakumari256/automl", "kernel_id": "76754787"}, {"ref": "cf33333/refactoring-nn-pairwise-ranking-loss-03614f", "kernel_id": "76565686"}, {"ref": "xiaoleilian/cibmtr-lightautoml-nn-base-0-681", "kernel_id": "76310862"}, {"ref": "viktoriaskorik/silver-solution-59th", "kernel_id": "76852342"}, {"ref": "yteshima/cibmtr-simple-dashboard-and-prediction", "kernel_id": "76295789"}, {"ref": "tamwingching/cibmtr-xgboost-lightgbm-catboost-ridge", "kernel_id": "76408127"}, {"ref": "debs2x/cibmtr-lightgbm", "kernel_id": "76721951"}, {"ref": "bravarthansharma/notebook812fece418", "kernel_id": "76138267"}, {"ref": "bravarthansharma/prediction", "kernel_id": "76359088"}, {"ref": "bravarthansharma/prediction-4", "kernel_id": "76575297"}, {"ref": "kunikan/cibmtr-ensemble-nn", "kernel_id": "76384008"}, {"ref": "ahmedsamir1598/cibmtr-2ndnote", "kernel_id": "76433390"}, {"ref": "abhinov037/hct-prediction", "kernel_id": "76323916"}, {"ref": "abhinov037/cibmtr", "kernel_id": "76784379"}, {"ref": "alirezaaziminia/equity-post-hct-survival-prediction", "kernel_id": "76105628"}, {"ref": "bnyamintardu/feature-engineering-predict-cox-model", "kernel_id": "76874181"}, {"ref": "giraldonainggolan/single-nn-with-pairwise-ranking-loss", "kernel_id": "76837262"}, {"ref": "parthok/notebook695f0bafc1", "kernel_id": "76325685"}, {"ref": "ryosukekawauchi/tabm-pairwise-ranking-loss", "kernel_id": "76126066"}, {"ref": "yuriweessies/fork-of-nn-mlp-baseline-cv-670-lb-670", "kernel_id": "76439776"}, {"ref": "boerget/dpa-cb-submission", "kernel_id": "76368279"}, {"ref": "misterfour/cibmtr-challenge-submission", "kernel_id": "76787463"}, {"ref": "hasansaifuddin/blood-donation-crisis", "kernel_id": "76695590"}, {"ref": "aojiangaaa/fangan1", "kernel_id": "76243066"}, {"ref": "aojiangaaa/public-classifier-cat-xgb-lb-0-688", "kernel_id": "76302742"}, {"ref": "samarthpujari/cibmtr-hct-score-0-689-time-9mins", "kernel_id": "76132680"}, {"ref": "parpandrumwright/public-classifier-cat-xgb-lb-0-688-ecb273", "kernel_id": "76310902"}, {"ref": "parpandrumwright/public-classifier-cat-xgb-lb-0-688", "kernel_id": "76266333"}, {"ref": "parpandrumwright/fangan1", "kernel_id": "76259185"}, {"ref": "parpandrumwright/cibmtr-yunbase", "kernel_id": "76255838"}, {"ref": "jipwulffele/xgboost-feature-engineering", "kernel_id": "76157968"}, {"ref": "jipwulffele/ensemble-vsn-1", "kernel_id": "76421979"}, {"ref": "makkun/equity-in-post-hct-survival-predictions-lgbm", "kernel_id": "76692788"}, {"ref": "makkun/equity-in-post-hct-survival-predictions-lgbm-2", "kernel_id": "76764127"}, {"ref": "yashsahu02/1-cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "76724474"}, {"ref": "baibhavkundu/notebookda382f59ec", "kernel_id": "76363449"}, {"ref": "agampreetkaur123/cibmtr-nn", "kernel_id": "76863104"}, {"ref": "davigsfreitas/tei-4-bimestre", "kernel_id": "76691542"}, {"ref": "veplorq/finalsubmission", "kernel_id": "76510770"}, {"ref": "wanyizhouzzz/cibmtr-efficientnetv2", "kernel_id": "76522977"}, {"ref": "tejass0809/yunbase-cibmtr-improved", "kernel_id": "76807651"}, {"ref": "tejass0809/cibmtr-yunbase-model", "kernel_id": "76782222"}, {"ref": "tejass0809/cibmtr-submission-3", "kernel_id": "76946265"}, {"ref": "sietze535/refactoring-nn-pairwise-ranking-loss", "kernel_id": "76517769"}, {"ref": "zhengchuang/eda-xgb", "kernel_id": "76071747"}, {"ref": "firewhailemariam/freshta-cibmtr", "kernel_id": "76281497"}, {"ref": "firewhailemariam/eefs-concordance-index", "kernel_id": "76279630"}, {"ref": "dreamingtree/xgboost-with-monotonicity", "kernel_id": "76905679"}, {"ref": "ozellpaukert/hct-survival-01-tree-baseline", "kernel_id": "76478333"}, {"ref": "jyyyyyyym/cibtr", "kernel_id": "76890363"}, {"ref": "kkzkwtr/notebook136b39f335", "kernel_id": "76418089"}, {"ref": "noorizzatnassar/noor-nassar", "kernel_id": "76428791"}, {"ref": "tamvan6/imputing-experiments", "kernel_id": "76365847"}, {"ref": "larsesselink/cibmtr-simple-catboost", "kernel_id": "76247900"}, {"ref": "larsesselink/fork-of-gpu-lightgbm-baseline-merged-params-v2", "kernel_id": "76987173"}, {"ref": "yousifbadawi/single-nn-with-pairwise-ranking-loss-0-68-68f30b", "kernel_id": "76917109"}, {"ref": "yousifbadawi/single-nn-with-pairwise-ranking-loss-0-689-lb", "kernel_id": "76916147"}, {"ref": "yousifbadawi/event-masked-prl-nn", "kernel_id": "76963837"}, {"ref": "yousifbadawi/gpu-lightgbm-baseline-cv-681-lb-685", "kernel_id": "76846820"}, {"ref": "zeinabolama/xgb-mod-hyperparamter-tuning-with-k-fold", "kernel_id": "76086595"}, {"ref": "kerta27/cibmtr-lgb-catboost", "kernel_id": "76387403"}, {"ref": "rafieiamin/0-689-cibmtr-3-cox-loss-recalculatehla", "kernel_id": "76077501"}, {"ref": "kutayds/mice-and-rule", "kernel_id": "76779476"}, {"ref": "viniciuswuwei/event-masked-prl-nn", "kernel_id": "76864322"}, {"ref": "brianedwards/hct-noise-2-public", "kernel_id": "77898936"}, {"ref": "churkinnikita/3rd-place-solution", "kernel_id": "77450317"}, {"ref": "ukrainskiydv/3rd-place-solution-nn-solo-0-69694-private-lb", "kernel_id": "77129691"}, {"ref": "kumarandatascientist/cibmtr-ensemble-weights-updated-new-version-1", "kernel_id": "77235210"}, {"ref": "abukha/how-to-get-the-most-important-features", "kernel_id": "77177044"}, {"ref": "myprofileurl/6th-place-catboost-regressor-parameter-search", "kernel_id": "77221844"}, {"ref": "myprofileurl/6th-place-catboost-classifier-parameter-search", "kernel_id": "77224583"}, {"ref": "myprofileurl/6th-place-oof-dataset", "kernel_id": "77612227"}, {"ref": "myprofileurl/6th-place-gradient-boosting-weights", "kernel_id": "77579769"}, {"ref": "myprofileurl/6th-place-second-step-model-training", "kernel_id": "77680435"}, {"ref": "cristianlazoquispe/dl-inference-demo", "kernel_id": "77187842"}, {"ref": "cristianlazoquispe/custom-libraries-cibmtr", "kernel_id": "77184221"}, {"ref": "dedquoc/simple-eda-with-xgb-prediction-and-submission", "kernel_id": "77099003"}, {"ref": "giorgosfoukarakis/cibmtr-smoothed-km-breslow-catcox", "kernel_id": "77457319"}, {"ref": "tom99763/autogluon-stack-quantile-cibmtr-daphne", "kernel_id": "77542394"}, {"ref": "tom99763/graphsage-stack-ensemble-augmentation", "kernel_id": "77027246"}, {"ref": "tom99763/graphsage-stack-ensemble-quantile-augmentation", "kernel_id": "77720471"}, {"ref": "tom99763/autogluon-stack-race-kmf-cibmtr-daph", "kernel_id": "77850747"}, {"ref": "tom99763/graphsage-stack-ensemble-cox-target-augment", "kernel_id": "77838921"}, {"ref": "tom99763/autogluon-stack-wavelet-target-cibmtr", "kernel_id": "77885772"}, {"ref": "christurnbull/cibmtr-testtimetrain", "kernel_id": "77992308"}, {"ref": "adsamardeep/cibmtr-v1", "kernel_id": "77305266"}, {"ref": "adsamardeep/cibmtr-v2-using-optuna", "kernel_id": "77326552"}, {"ref": "twoldusemere/deepsurv-baseline-a7ccca", "kernel_id": "77606474"}, {"ref": "twoldusemere/deepsurv-baseline-3ba200", "kernel_id": "77607874"}, {"ref": "twoldusemere/deepsurv-baseline", "kernel_id": "77476703"}, {"ref": "rishimurudkar/notebook7d9fe69466", "kernel_id": "77913330"}, {"ref": "udaken10/firstnelsonaalenfitterkaplanmeierfitter", "kernel_id": "77386930"}, {"ref": "thawzinmoemyint/csc532-ensembling-xgboost-catboost-lightgbm-nn", "kernel_id": "77368955"}, {"ref": "tsihoryjigdaliaenoch/quantile-based-survival-models", "kernel_id": "77904285"}, {"ref": "palakash123/cox-model-xgboost-randomsurvivalforest-final", "kernel_id": "77187261"}, {"ref": "awxlong/bayesop-ensemble-with-custom-importance-weighting", "kernel_id": "77616892"}, {"ref": "lohithashwa/deepsurv-baseline", "kernel_id": "77658762"}, {"ref": "nurullahayvalk/pip-install-lifelines-tabnet", "kernel_id": "77379627"}, {"ref": "omidbaghchehsaraei/flaml-nelsonaalen-cv-0-677-lb-0-683-cibmtr", "kernel_id": "77618020"}, {"ref": "mickvanbeijnen/deepsurv-baseline", "kernel_id": "77302196"}, {"ref": "mickvanbeijnen/deepsurv-final", "kernel_id": "77967264"}, {"ref": "tanujtaneja/100th-place-solution", "kernel_id": "77533618"}, {"ref": "luizeduardopia/hct-notebook", "kernel_id": "77738159"}, {"ref": "garvio282003/submission-nn-deepsurv-race-mlip26", "kernel_id": "77906123"}, {"ref": "garvio282003/notebook02e35a291e", "kernel_id": "77992565"}, {"ref": "rzatemizel/masked-weighted-ensemble", "kernel_id": "77826978"}, {"ref": "abidinawres/part-1-data-analaysis-and-cleansing", "kernel_id": "77239482"}, {"ref": "pratikpsp/tuned-ensemble-with-kmf-naf-scores-and-cox-model", "kernel_id": "77417248"}, {"ref": "kudosn/16-th-solution-nn-tree-ensemble", "kernel_id": "77602591"}, {"ref": "adamfarrag/fttransformer-prl-w-o-margin-w-fe", "kernel_id": "77813776"}, {"ref": "adamfarrag/fttransformer-prl-w-margin", "kernel_id": "77804445"}, {"ref": "claramagdyghaly/cibmttr", "kernel_id": "77734184"}, {"ref": "mnjalab/0-692-cibmtr-weights-ranking-ensemble", "kernel_id": "77659898"}, {"ref": "eikyou/cibmtr-gbdts-breslowflemingharrington", "kernel_id": "77000750"}, {"ref": "vishnupriyagarige/cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "77407927"}, {"ref": "siddhant1104/final-11th-place-submission", "kernel_id": "77932072"}, {"ref": "siddhant1104/final-submission-11th-position", "kernel_id": "77973803"}, {"ref": "adamlogman/693notebook", "kernel_id": "77276039"}, {"ref": "junhanzangai/cibmtr-nn-lgb-cat-ensemble-of-solutions", "kernel_id": "77469945"}, {"ref": "saadraqibaziz/cibmtr-catboost", "kernel_id": "77925068"}, {"ref": "ainajimenez/submission5-mlip26", "kernel_id": "77905771"}, {"ref": "nataliamarko/classificator-and-regressor-for-risk-score-pred", "kernel_id": "77328504"}, {"ref": "svenmeijboom/deepsurv-baseline-a7ccca", "kernel_id": "77449958"}, {"ref": "svenmeijboom/deepsurv-baseline", "kernel_id": "77248709"}, {"ref": "sshiyu/silver-solution-100th", "kernel_id": "77874185"}, {"ref": "omerabdelmoneim/cibmtr", "kernel_id": "77880847"}, {"ref": "fujikawaa7/cibmtr-xgboost-cox-regression", "kernel_id": "77078596"}, {"ref": "ravaghi/cibmtr-autogluon-classifier-training", "kernel_id": "77597727"}, {"ref": "ravaghi/equity-in-post-hct-survival-weighted-ensemble", "kernel_id": "77816930"}, {"ref": "ravaghi/equity-in-post-hct-survival-masked-ensemble", "kernel_id": "77869926"}, {"ref": "amogharora/notebook3ca69d6d1b", "kernel_id": "77131361"}, {"ref": "zyh1104/cibmtr-gnn", "kernel_id": "77373434"}, {"ref": "zyh1104/cibmtr-ensemble-prl691-nn-55", "kernel_id": "77432447"}, {"ref": "zyh1104/cibmtr-nn-negative-log-likelihood-loss", "kernel_id": "77106299"}, {"ref": "abdmental01/xgb-monotone-fork-cv-improvement", "kernel_id": "77269003"}, {"ref": "viktoriaskorik/my-first-ever-try-with-gnn", "kernel_id": "77896320"}, {"ref": "resmiare/gpu-lightgbm-baseline-bagging-xgb-regressor", "kernel_id": "77528590"}, {"ref": "resmiare/gpu-lightgbm-baseline-stack-adaboostregressor", "kernel_id": "77591480"}, {"ref": "ahmedsamir1598/cibmtr-lgbm-cb", "kernel_id": "77301853"}, {"ref": "hongseonggyun/xgbregressor-with-kaplanmeierfitter", "kernel_id": "77101863"}, {"ref": "bjrnwesterlund/column-specific-encoding", "kernel_id": "77884936"}, {"ref": "aichangeworld/81th-place-open-public-fe", "kernel_id": "77989094"}, {"ref": "ggargik/hct-survival-pred", "kernel_id": "77543498"}, {"ref": "ericaidanjacobsen/top-25-parameter-model", "kernel_id": "77315812"}, {"ref": "jiahaopengx/0-692-cibmtr-weights-ranking-ensemble", "kernel_id": "77347591"}, {"ref": "morikawatakeshi/cibmtr", "kernel_id": "77373384"}, {"ref": "anacpricciardi/lgbm-model", "kernel_id": "77482046"}, {"ref": "asherzihaozheng/696-20250302-v2-696", "kernel_id": "77720401"}, {"ref": "jipwulffele/transplanting-data-into-insights-eda-only", "kernel_id": "77378638"}, {"ref": "jipwulffele/transplanting-data-into-insights-eda-to-model", "kernel_id": "77540736"}, {"ref": "jainilspatel/cibmtr-research-easy", "kernel_id": "77199802"}, {"ref": "jainilspatel/cibmtr-competition", "kernel_id": "77098041"}, {"ref": "gogo4974/cibmtr-ensemble", "kernel_id": "77162150"}, {"ref": "lukagodni/baseline-gridsearch-tweedie-nelson-aalen", "kernel_id": "77619056"}, {"ref": "lukagodni/final-submisson-notebook", "kernel_id": "77940098"}, {"ref": "omarsalah123/notebookeb25fbb1d2", "kernel_id": "77487444"}, {"ref": "codewithab/training-hct-survival", "kernel_id": "77139833"}, {"ref": "codewithab/testing-hct-survival", "kernel_id": "77140490"}, {"ref": "frankzfchen/ensemble-minezf", "kernel_id": "77386286"}, {"ref": "morpheusvibaenj/hct-demo", "kernel_id": "77551128"}, {"ref": "mcornelisse/nn-baseline-pytorch-reimplementation", "kernel_id": "77457851"}, {"ref": "mcornelisse/nn-ensemble", "kernel_id": "77052585"}, {"ref": "mcornelisse/best-performing-version-of-nn-baseline", "kernel_id": "77936803"}, {"ref": "opbashar/cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "77964625"}, {"ref": "kelley111/esp-eda-which-makes-sense", "kernel_id": "77145413"}, {"ref": "kelley111/notebook61256a898b", "kernel_id": "77421761"}, {"ref": "randnet/rand-datasorting1", "kernel_id": "77875496"}, {"ref": "jaywbsr/csc532-262-xgboost", "kernel_id": "77367310"}, {"ref": "arjungirish05/cibmtr-survival-prediction", "kernel_id": "77364040"}, {"ref": "khinkaungsanthutun/ensembleall5", "kernel_id": "77399664"}, {"ref": "miekevandermeiden/baseline-data-interpolation", "kernel_id": "77804174"}, {"ref": "sheershsrivas/survival-analysis-with-nn", "kernel_id": "77838468"}, {"ref": "ozanbozyel/catboost-optuna-pred", "kernel_id": "77542498"}, {"ref": "ozanbozyel/xgboost-optuna-pred", "kernel_id": "77475778"}, {"ref": "dongninglyu/0-692-cibmtr-weights-ranking-ensemble", "kernel_id": "77511523"}, {"ref": "helenwuyu/cmbtr-nn", "kernel_id": "77932726"}, {"ref": "diladiclekeke/hct-ended", "kernel_id": "77989156"}, {"ref": "muntazirmehdi786/xgboost-lightgbm-catboost-1", "kernel_id": "77457850"}, {"ref": "tamvan6/fe-experiments", "kernel_id": "77803075"}, {"ref": "sheikhomerkashmiri/testing", "kernel_id": "77293702"}, {"ref": "jaurav/cibmtr-competetion", "kernel_id": "77444151"}, {"ref": "akiyasmine/notebook0da00ce429", "kernel_id": "77972617"}, {"ref": "mhkamangoviii/lightgbm-catboost", "kernel_id": "77670185"}, {"ref": "herrahuu/4th-place-solution", "kernel_id": "78632064"}, {"ref": "churkinnikita/3rd-place-solution-repr", "kernel_id": "78680825"}, {"ref": "myprofileurl/6th-place-two-step-model", "kernel_id": "78037964"}, {"ref": "cdeotte/stacking-model-top-50th-lb-0-694", "kernel_id": "78328390"}, {"ref": "sercanyesiloz/cibmtr-11th-place-solution", "kernel_id": "78036865"}, {"ref": "karakasatarik/2nd-place-solution-inference", "kernel_id": "78063259"}, {"ref": "vrushabhbidari/predict-1", "kernel_id": "78452962"}, {"ref": "roberthatch/cibmtr-lib", "kernel_id": "78480295"}, {"ref": "roberthatch/cibmtr-5th-place-train-autogluon", "kernel_id": "78601623"}, {"ref": "roberthatch/cibmtr-5th-place-train-gpu", "kernel_id": "78601702"}, {"ref": "roberthatch/cibmtr-5th-place-train-cpu-1", "kernel_id": "78601720"}, {"ref": "roberthatch/cibmtr-5th-place-train-cpu-2", "kernel_id": "78601744"}, {"ref": "roberthatch/cibmtr-5th-place-train-cpu-3", "kernel_id": "78601748"}, {"ref": "roberthatch/cibmtr-5th-place-train-cpu-4", "kernel_id": "78601762"}, {"ref": "roberthatch/cibmtr-5th-place-official-submission", "kernel_id": "78601834"}, {"ref": "prabhakarnimmagadda/eda-encoding-tabular", "kernel_id": "78080583"}, {"ref": "shadesh/eda-workflow", "kernel_id": "78061974"}, {"ref": "rubentemorsche/stratified-loss-experiment", "kernel_id": "78448794"}, {"ref": "rubentemorsche/tree-search-experiment", "kernel_id": "78451414"}, {"ref": "rubentemorsche/ensemble", "kernel_id": "78457814"}, {"ref": "torufujiyoshi/cibmtr-pairwiserankingloss-with-catboost", "kernel_id": "78719886"}, {"ref": "aristotlechen/top-30-solution", "kernel_id": "78010465"}, {"ref": "giacomoballarin/xgboost-baseline", "kernel_id": "78523389"}, {"ref": "sietze535/hla-features-ensemble", "kernel_id": "78582984"}, {"ref": "sietze535/refactoring-nn-pr-loss-with-all-features", "kernel_id": "78502363"}, {"ref": "minerppdy/1st-place-simplified-private-lb-0-700", "kernel_id": "78403797"}, {"ref": "sjansen/augmented-xgboost-cox", "kernel_id": "78595578"}, {"ref": "sjansen/smogn-augmentation", "kernel_id": "78597789"}, {"ref": "icarvk/hist-ensemble", "kernel_id": "78588398"}, {"ref": "yura52/cibmtr-tabm-multiloss", "kernel_id": "78366777"}, {"ref": "roberthatch/cibmtr-lib-v2", "kernel_id": "79761254"}, {"ref": "chuuuya5269/tabular-data-with-large-language-models-train", "kernel_id": "79871840"}, {"ref": "arpit1bansal/cibmtr-ensemble-v0", "kernel_id": "79042808"}, {"ref": "ghalysentissi01/ghaly-v-final", "kernel_id": "79104498"}, {"ref": "jianyicai/rainfall-autogluon-0-85197", "kernel_id": "79152029"}, {"ref": "octlog/cibmtr-xgb-catboost", "kernel_id": "80628682"}, {"ref": "shubhamdoshi26/cibmtr", "kernel_id": "80188662"}, {"ref": "steve179/submission-csv", "kernel_id": "80182906"}, {"ref": "abidinawres/submission-hct", "kernel_id": "81194389"}, {"ref": "dataaddict71/tabular-data-for-transfer-learning-implementation", "kernel_id": "81640059"}, {"ref": "kaziaishikuzzaman/kazi-cibmtr", "kernel_id": "83392538"}, {"ref": "mohamedhani979/cibmtr", "kernel_id": "83124006"}, {"ref": "ryosukekawauchi/cibmtr-efs-weight-x-regression", "kernel_id": "85471830"}, {"ref": "harshitbhandari2501/eda-for-competition", "kernel_id": "86342404"}, {"ref": "yunsuxiaozi/cibmtr-tabm-gelu", "kernel_id": "87654692"}, {"ref": "misterfour/cibmtr-challenge-embed-mlp-litnn", "kernel_id": "90239900"}, {"ref": "yueyuestella/notebooke2449ccbfa", "kernel_id": "94607495"}, {"ref": "qamarmath/predicting-survival-after-donor-transplants", "kernel_id": "102542960"}, {"ref": "nattanat/cibmtr-survival-predictions-nattanat", "kernel_id": "104958978"}, {"ref": "patthadonarm/homework-2", "kernel_id": "104945479"}, {"ref": "thanakritp3b/thanakritp-v1-cibmtr", "kernel_id": "105816370"}, {"ref": "ampjee/cibmtr-equity-in-post-hct-survival-predictions", "kernel_id": "105773608"}, {"ref": "supawadeeapichon/homework2", "kernel_id": "105848066"}, {"ref": "akarapongthammawong/notebooke87d4b253d", "kernel_id": "106547325"}, {"ref": "natakornwannabovorn/hs-intro-to-ml-hw2", "kernel_id": "106733595"}, {"ref": "tdeshpan/rsf-coxph-gradientboosting", "kernel_id": "106061245"}, {"ref": "nongchamp/cibmtr-hct-survival-predictions", "kernel_id": "106705136"}, {"ref": "wguesdon/cibmtr-hct-xgb-lgbm-catboost-rank-ensemble", "kernel_id": "111841472"}, {"ref": "l1ghtsource/dl-advanced-sem02", "kernel_id": "111248418"}, {"ref": "maksimkasorvin/dl-advanced-sem02", "kernel_id": "111911472"}, {"ref": "wwwhhhyyywhy/4th-place-solution-da1a2e", "kernel_id": "123415196"}, {"ref": "yiliu6116/tets6-25-2", "kernel_id": "124753144"}, {"ref": "laloromero/an-lisis-de-errores-en-clasificaci-n", "kernel_id": "128386294"}]}
{"competition_id": "70943", "kernels": [{"ref": "abdelrahmanalimo/neural-network-approach-to-classify-human-vs-ai", "kernel_id": "51401419"}, {"ref": "farisalahmdi/faris-baseline", "kernel_id": "51212297"}, {"ref": "salehbinsuwaylih/bert-text-classification", "kernel_id": "51913677"}, {"ref": "abdalrahminmohammed/bert-fine-tuning-with-huggingface", "kernel_id": "60979226"}, {"ref": "jannatunnoshinnabila/neural-network-approach-to-classify-human-vs-ai", "kernel_id": "64514894"}, {"ref": "jannatunnoshinnabila/bert-fine-tuning-huggingface", "kernel_id": "64451325"}, {"ref": "reyyansultan/ai-vs-human-text-classification-by-naive-bayer", "kernel_id": "66736175"}, {"ref": "yousefkhalil0/human-vs-ai-text-classification", "kernel_id": "74356496"}]}
{"competition_id": "70946", "kernels": [{"ref": "agnivabhattacharya/basic-eda-visualisations-modelling-shap", "kernel_id": "51474567"}, {"ref": "muzammilbaloch/automl-nashik-weather-92-452", "kernel_id": "51421256"}, {"ref": "ddosad/ml-olympiad-eda-ml-nashik-weather", "kernel_id": "51932735"}, {"ref": "mithilesh0/ml-olympiad-weather", "kernel_id": "51510871"}, {"ref": "leiladana/prediction-with-random-forest", "kernel_id": "51625634"}, {"ref": "aryanrai23/nashik-weather-using-ridge-algorithm", "kernel_id": "52109717"}, {"ref": "abhishekrp1517/solution-v1-multi-class-classification", "kernel_id": "53967897"}, {"ref": "majjiyaswanthsai/notebook35593fce9e", "kernel_id": "53641440"}, {"ref": "vedanta17/nashik-weather-using-randomized-search", "kernel_id": "53283356"}, {"ref": "garlapatisaivarun/nashik-weather-pred-catboost-smote-91-8", "kernel_id": "54061513"}]}
{"competition_id": "70979", "kernels": []}
{"competition_id": "71037", "kernels": [{"ref": "seydifaye/machine-translation-french-wolof", "kernel_id": "51941540"}, {"ref": "seydifaye/machine-translation-french-wolof-train-transformer", "kernel_id": "52667095"}, {"ref": "longnuub/french-to-wolof-fasttext-k-nn", "kernel_id": "119029917"}]}
{"competition_id": "71110", "kernels": [{"ref": "kawisaraprasitnui/kidd-train-eda-650710524", "kernel_id": "110725639"}]}
{"competition_id": "71112", "kernels": []}
{"competition_id": "71122", "kernels": []}
{"competition_id": "71128", "kernels": [{"ref": "docxian/ml-olympiad-earthquake-damage-for-r-users", "kernel_id": "51514103"}, {"ref": "stpeteishii/mlo-earthquake-visualize-importance", "kernel_id": "51861164"}, {"ref": "stpeteishii/earthquake-damage-histplot", "kernel_id": "51872583"}, {"ref": "bennyfung/mlo-ped-eda-flaml", "kernel_id": "51475146"}, {"ref": "ravi20076/earthquake-eda-baseline", "kernel_id": "51277191"}, {"ref": "vievaankhattar/notebookc264648e97", "kernel_id": "51591477"}, {"ref": "vievaankhattar/notebook2dbb2cd545", "kernel_id": "51591047"}, {"ref": "fanhuaiyuan/damage", "kernel_id": "51449593"}, {"ref": "fanhuaiyuan/classifiler", "kernel_id": "51455390"}, {"ref": "krishm/predicting-earth-quake-damage-rf-lda", "kernel_id": "53467020"}, {"ref": "valentinemwai/earthquake-prediction", "kernel_id": "53739308"}, {"ref": "rohansardar/basic-randomforestclassifier", "kernel_id": "53487440"}, {"ref": "rajsahu2004/eda-and-basemodel", "kernel_id": "53571091"}, {"ref": "carloscll/mlo-exploratory-data-analysis", "kernel_id": "53015383"}, {"ref": "kanishk026/earthquake-predicton-lgbm-w-tomek", "kernel_id": "53491987"}, {"ref": "vinaysharma1018/earthquake-damage", "kernel_id": "53780952"}, {"ref": "instockap/earthquakepred-deep-learning", "kernel_id": "53887875"}, {"ref": "vaibhavnauriyal/cat-boost-based-model-with-0-54-score", "kernel_id": "54258792"}, {"ref": "thiagomantuani/earthquake-damage-eda-baseline", "kernel_id": "54566014"}, {"ref": "shaikhabdulrafay03/ml-olympiad-predicting-earthquake-damage", "kernel_id": "54268431"}, {"ref": "hikageshinomori/neural-network-model", "kernel_id": "54750196"}, {"ref": "bharathmuthusivam/earthquake-damage-prediction", "kernel_id": "54811184"}, {"ref": "krishd123/predicting-earthquake-damage-lgbm", "kernel_id": "55171285"}, {"ref": "laxminarayanasahu/ml-olympiad-predicting-earthquakes", "kernel_id": "55025357"}, {"ref": "instockap/deep-learning-earthquake-pred", "kernel_id": "58025564"}, {"ref": "pavithra0809/competition-damage-prediction", "kernel_id": "63217644"}, {"ref": "sudarsan27/earthquake-prediction-ml", "kernel_id": "63217594"}, {"ref": "serdaronal/predicting-earthquake-damage", "kernel_id": "120880002"}]}
{"competition_id": "71149", "kernels": [{"ref": "abhilashdas/summarizer", "kernel_id": "55222899"}]}
{"competition_id": "71162", "kernels": []}
{"competition_id": "71163", "kernels": []}
{"competition_id": "71228", "kernels": []}
{"competition_id": "71270", "kernels": [{"ref": "flashzzz/notebook-barr", "kernel_id": "51457505"}, {"ref": "birendramohapatra/mechlearn-bm", "kernel_id": "51458677"}]}
{"competition_id": "71293", "kernels": []}
{"competition_id": "71296", "kernels": [{"ref": "hadriencr/sustainable-urban-living", "kernel_id": "52911580"}, {"ref": "rupanshukapoor/sustainable-urban-living", "kernel_id": "52597749"}, {"ref": "chemini210363c/submission-1", "kernel_id": "52344857"}, {"ref": "patalee210407r/ml-olympiad", "kernel_id": "52409190"}, {"ref": "chemini210363c/submission-2", "kernel_id": "53344558"}]}
{"competition_id": "71331", "kernels": [{"ref": "bencxs/eda-correlations-and-associations", "kernel_id": "51640220"}, {"ref": "khursani8/simple-eda", "kernel_id": "51648214"}, {"ref": "thiagomantuani/ml-olympiad-ai-ml-malaysia-eda-modeling", "kernel_id": "51652716"}, {"ref": "fahmiibrahim/catboost-classification", "kernel_id": "51921518"}, {"ref": "fahmiibrahim/neural-network-classifier", "kernel_id": "51980201"}, {"ref": "pookuanhoong/knn-classifier-naive", "kernel_id": "51641677"}, {"ref": "pookuanhoong/exploration-data-analysis", "kernel_id": "51604891"}, {"ref": "qamilmirza/loan-approval-classification", "kernel_id": "51899634"}, {"ref": "foocheechuan/ml-olympiad-training-baseline-model", "kernel_id": "51694384"}, {"ref": "foocheechuan/basic-exploration", "kernel_id": "51607562"}, {"ref": "huienngu/loan-approval-prediction-r", "kernel_id": "51831409"}, {"ref": "melodykoh/loan-approval-classification-ml-olympiad", "kernel_id": "51857357"}, {"ref": "sergeydeev/tfdf-gradientboosted", "kernel_id": "51674710"}, {"ref": "huienngu/loan-approval-prediction-python", "kernel_id": "52073786"}, {"ref": "jclohjc/ml-olympiad-loan-approval-status-prediction", "kernel_id": "52742486"}, {"ref": "marshallgrinstead/ml-olympiad-malaysia-random-forest", "kernel_id": "52199462"}, {"ref": "yaosun1/randomforestclassifier-0-96", "kernel_id": "52782542"}, {"ref": "alfredkondoro/tfdf-gradientboosted-ml-olympiad-malaysia", "kernel_id": "53670394"}]}
{"competition_id": "71335", "kernels": [{"ref": "mohammad2012191/starter-notebook-how-to-approach-nlp-problems", "kernel_id": "51607693"}, {"ref": "mohammedzahrani/arabic-poem-classification", "kernel_id": "51893333"}, {"ref": "ziyadj/eda-stacking-82", "kernel_id": "51561525"}, {"ref": "mohammad2012191/poem-training-notebook", "kernel_id": "52384657"}, {"ref": "mohammad2012191/poem-inference-notebook", "kernel_id": "52384146"}, {"ref": "abdullahelkawakjy/arabic-poem-classification", "kernel_id": "72518223"}]}
{"competition_id": "71348", "kernels": [{"ref": "paulojunqueira/mlo-toxic-lang-distillbert-infer", "kernel_id": "51700475"}, {"ref": "paulojunqueira/mlo-toxic-lang-distilbert-train", "kernel_id": "51698586"}, {"ref": "paulojunqueira/eda-ml-olympiad-toxic-language", "kernel_id": "51724463"}, {"ref": "carloscll/cleaning-ml-olympiad-toxic-language", "kernel_id": "51622736"}, {"ref": "yunsuxiaozi/ml-olympiad-toxic-language-detection-baseline", "kernel_id": "51632375"}, {"ref": "yunsuxiaozi/ml-olympiad-baseline-and-trick", "kernel_id": "51667247"}, {"ref": "yunsuxiaozi/text-classification-with-google-gemma", "kernel_id": "51954444"}, {"ref": "hadriencr/ml-olympiad-naivebayesclassifier", "kernel_id": "51891131"}, {"ref": "akokoo/mo-model-score-increase", "kernel_id": "53064410"}, {"ref": "curiouscyborgs/ml-olympiad-toxic-language-detection", "kernel_id": "53230921"}, {"ref": "bvddhahead/sentiment-analysis-with-doc2vec", "kernel_id": "54145751"}, {"ref": "porcupethcrumpets/text-classification-with-google-gemma", "kernel_id": "56970306"}, {"ref": "mrqian0509/text-classification-with-google-gemma", "kernel_id": "57256520"}]}
{"competition_id": "71351", "kernels": [{"ref": "sadiakhatun/ml-olympiad-customer-opinion", "kernel_id": "51767900"}, {"ref": "hadriencr/mlo-reviews-finetuning-a-nlp-model", "kernel_id": "52024766"}, {"ref": "mohamedshajithm/19i603-ai-batch-7-bert-model", "kernel_id": "53007116"}, {"ref": "hunter10bt/customer-opinion", "kernel_id": "98743445"}, {"ref": "mohaffan/sentiment-classification-based-on-customer-opinion", "kernel_id": "98739546"}, {"ref": "christopherlucasj/sentiment-analysis", "kernel_id": "99330256"}, {"ref": "fajriyuliana/notebookefbb58103a", "kernel_id": "99389599"}, {"ref": "niearanie/nlp-sentiment-classification", "kernel_id": "99373366"}, {"ref": "rodiyatulfathonah/sentimen-classification", "kernel_id": "99307592"}, {"ref": "williamfh91/sentiment-classification", "kernel_id": "99211698"}]}
{"competition_id": "71361", "kernels": []}
{"competition_id": "71365", "kernels": []}
{"competition_id": "71368", "kernels": []}
{"competition_id": "71443", "kernels": [{"ref": "pradyy/telecom-churn", "kernel_id": "51878119"}, {"ref": "thanglzdvn/thanglzdvn", "kernel_id": "52467429"}]}
{"competition_id": "71447", "kernels": [{"ref": "eduardofarina/generate-windowed-png", "kernel_id": "51918271"}, {"ref": "abebe9849/sprheadct-preprocess", "kernel_id": "55600757"}, {"ref": "abebe9849/sprheadct-train", "kernel_id": "55600801"}, {"ref": "tonguehoney/sprheadct-train-811854", "kernel_id": "85020513"}]}
{"competition_id": "71451", "kernels": [{"ref": "tracyporter/india-temp-arima-ljung", "kernel_id": "51733352"}, {"ref": "tracyporter/india-temp-arima", "kernel_id": "51695685"}, {"ref": "mohammedmoinuddin/iwf4mlo", "kernel_id": "51649844"}, {"ref": "ashadullah/forecasting-eda-simple-ann-magic", "kernel_id": "51888112"}, {"ref": "prioahmed/indian-weather", "kernel_id": "51877606"}, {"ref": "praneykalra/indian-weather-predictor", "kernel_id": "51870856"}, {"ref": "mohdshahnawazaadil/weather-forecasting-using-different-models", "kernel_id": "53758129"}, {"ref": "mohdshahnawazaadil/weather-forecasting-with-dtr-and-gbr", "kernel_id": "53367168"}, {"ref": "mohdshahnawazaadil/forecasting-india-s-weather", "kernel_id": "53341215"}, {"ref": "iamommpatel/indian-weather-predictor", "kernel_id": "53239970"}, {"ref": "saarib2405/weather-forecast", "kernel_id": "53963097"}, {"ref": "prioahmed/indian-weather-after-removing-outliers", "kernel_id": "53030995"}, {"ref": "sricharanreddy129/htfg-ml-hackathon", "kernel_id": "53293535"}, {"ref": "harshshinde8/temperature-prediction-with-arima-model", "kernel_id": "53322095"}, {"ref": "sivanandiniyeddula/iwf4mlo", "kernel_id": "53302869"}, {"ref": "ridhii19/weather-1", "kernel_id": "53805631"}, {"ref": "ridhii19/weather-2", "kernel_id": "53819623"}, {"ref": "mallikarjunareddyk/forecasting-eda-simple-ann-magic", "kernel_id": "53648124"}, {"ref": "gowrisrivani/ml-olympiad-forecasting-india-s-weather", "kernel_id": "54200301"}, {"ref": "vineetmehar/indian-weather-forecast", "kernel_id": "54201215"}, {"ref": "shunmukesh04/mlolympaid", "kernel_id": "54177470"}, {"ref": "cardata/1901-2017-india-s-weather-data-analysis", "kernel_id": "59566802"}]}
{"competition_id": "71460", "kernels": []}
{"competition_id": "71472", "kernels": []}
{"competition_id": "71485", "kernels": [{"ref": "kyleeechiu/deberta-v3-small-starter-cv-0-814-lb-0-801", "kernel_id": "21316966"}, {"ref": "satyaprakashshukl/sentence-embedding-minilm-l12-v2", "kernel_id": "33378781"}, {"ref": "jacoporepossi/tutorial-quadratic-weighted-kappa-explained", "kernel_id": "34629986"}, {"ref": "inversion/automated-essay-scoring-2-0-efficiency-lb", "kernel_id": "53420556"}, {"ref": "idv2005/deberta-baseline-train", "kernel_id": "53994672"}, {"ref": "idv2005/deberta-baseline-inference", "kernel_id": "53985192"}, {"ref": "aikhmelnytskyy/quick-start-lgbm", "kernel_id": "53906501"}, {"ref": "alejopaullier/aes-2-multi-class-classification-train", "kernel_id": "53906742"}, {"ref": "alejopaullier/aes-2-multi-class-classification-inference", "kernel_id": "53898953"}, {"ref": "glebkum/mixtral-inference-baseline", "kernel_id": "53934463"}, {"ref": "semiheren/doc2vec-similarity-baseline", "kernel_id": "53902897"}, {"ref": "davidjlochner/base-tfidf-lgbm", "kernel_id": "53976394"}, {"ref": "mcpenguin/eda-exploring-the-essays", "kernel_id": "53904966"}, {"ref": "sarthak333/learning-agency-lab-basic-approach", "kernel_id": "53956234"}, {"ref": "hashidoyuto/eda-text-clustering-aes2-0", "kernel_id": "53971563"}, {"ref": "yunsuxiaozi/aes2-0-baseline-naivebayesclassifier", "kernel_id": "53914075"}, {"ref": "professorredknight/aes-2-multi-class-classification-muhammad", "kernel_id": "53932385"}, {"ref": "anshulgupta1502/intro-with-gemma-7b", "kernel_id": "53908315"}, {"ref": "taichiuemura/aes2-0-linear-regression", "kernel_id": "53933077"}, {"ref": "liwste/gemini-embeddings", "kernel_id": "54420407"}, {"ref": "liwste/huggingface-embeddings", "kernel_id": "54616118"}, {"ref": "ianchute/no-model-baseline", "kernel_id": "54463092"}, {"ref": "konohayui/topic-modeling-for-essay", "kernel_id": "54651811"}, {"ref": "zhangyue199/tf-idf-baseline", "kernel_id": "54532847"}, {"ref": "lohitharcot/as-simple-as-it-can-get", "kernel_id": "54565635"}, {"ref": "docxian/automated-essay-scoring-first-glance", "kernel_id": "54262885"}, {"ref": "jcesquiveld/deberta-v3-base-baseline", "kernel_id": "54687770"}, {"ref": "cdeotte/mistral-7b-baseline-lb-0-7x", "kernel_id": "54990458"}, {"ref": "olyatsimboy/81-1-aes2-5folddeberta-lgbm-stacking", "kernel_id": "54733682"}, {"ref": "olyatsimboy/5-fold-deberta-lgbm", "kernel_id": "54646349"}, {"ref": "umar47/essay-scoring-eda-tensorflow-cnn-lstm", "kernel_id": "54302793"}, {"ref": "itsuki9180/aes-2-multi-gpu-deepspeed-w-accelerate-inferece", "kernel_id": "54326776"}, {"ref": "itsuki9180/aes-2-multi-gpu-deepspeed-w-accelerate-train", "kernel_id": "54323079"}, {"ref": "sercanyesiloz/aes-2-0-tf-idf-xgb-baseline", "kernel_id": "54133033"}, {"ref": "jaloeffe92/learning-agency-first-model", "kernel_id": "54976639"}, {"ref": "awsaf49/aes-2-0-kerasnlp-starter", "kernel_id": "54013919"}, {"ref": "hideyukizushi/aes2-deberta-lgbm-countvectorizer-lb-819", "kernel_id": "54718823"}, {"ref": "handeakn/aes-gemma-2b-langchain", "kernel_id": "54664720"}, {"ref": "nurulhanisibrahim/lda-nlp-tfidf-svm-aes2024", "kernel_id": "54551628"}, {"ref": "lonnieqin/automatic-essay-scoring-with-debertav3", "kernel_id": "54628010"}, {"ref": "lonnieqin/automated-essay-scoring-with-gemma", "kernel_id": "54664781"}, {"ref": "antonioprezmuoz/learning-agency-lab-score-prediction", "kernel_id": "54364671"}, {"ref": "ilikedeeplearning/flan-t5-baseline", "kernel_id": "54759644"}, {"ref": "udaken10/spacy-doc2vec-lgb", "kernel_id": "54318329"}, {"ref": "udaken10/word2vec-lgb", "kernel_id": "54654034"}, {"ref": "udaken10/feature-engineeing", "kernel_id": "54861118"}, {"ref": "tarekyahia/feature-engineering", "kernel_id": "54660824"}, {"ref": "tarekyahia/feature-extraction", "kernel_id": "54976361"}, {"ref": "bunny11/lal-deberta", "kernel_id": "54302058"}, {"ref": "leesakpark/unigram-log-probability-comparisons-by-scores", "kernel_id": "54638234"}, {"ref": "arwani/simple-pytorch", "kernel_id": "54163943"}, {"ref": "xiaocao123/aes2-5folddeberta-lgbm-weighted-blending", "kernel_id": "54778758"}, {"ref": "satyaprakashshukl/countvectorizer-essay-scoring-analysis", "kernel_id": "54558568"}, {"ref": "satyaprakashshukl/voting-classifier-analysis", "kernel_id": "54731828"}, {"ref": "ravi20076/aes2024-baseline-inference", "kernel_id": "54490455"}, {"ref": "ravi20076/aes2024-baseline-ml-training", "kernel_id": "54490075"}, {"ref": "yawong1983/assay-accessment-lab-lstm", "kernel_id": "54826193"}, {"ref": "yukawithdata/learning-agency-lab-setup-baseline", "kernel_id": "54746592"}, {"ref": "sohtakahashi/aes-first-exploration-lgbm-example", "kernel_id": "54385249"}, {"ref": "siddhvr/aes-2-0-deberta-lgbm-baseline", "kernel_id": "54454629"}, {"ref": "abdullahmeda/persuade-train-essays-analysis", "kernel_id": "54716727"}, {"ref": "sunny7712/aes-1-naive-bayes", "kernel_id": "54507068"}, {"ref": "nkryst/learning-competition", "kernel_id": "54884624"}, {"ref": "ds150478/essay-scoring", "kernel_id": "54616072"}, {"ref": "hashidoyuto/deberta-baseline-aes2-0-train", "kernel_id": "54168152"}, {"ref": "hashidoyuto/text-clustering-deberta-aes2-0", "kernel_id": "54730633"}, {"ref": "hashidoyuto/deberta-5fold-infer-aes2-0", "kernel_id": "54500391"}, {"ref": "hodinhtrieu/training-aes-deberta-model-starter", "kernel_id": "54601755"}, {"ref": "hodinhtrieu/keras-baseline-lstm-attention-5-fold", "kernel_id": "54330362"}, {"ref": "hodinhtrieu/0-78-votingregressor-lgbm", "kernel_id": "54081903"}, {"ref": "pshikk/logistic-regression-baseline", "kernel_id": "54349535"}, {"ref": "defdet/mistral-training-torch-xla", "kernel_id": "54366514"}, {"ref": "yongsukprasertsuk/0-812-5-fold-deberta-lgbm", "kernel_id": "54657630"}, {"ref": "yongsukprasertsuk/0-818-deberta-v3-large-lgbm-baseline", "kernel_id": "54483747"}, {"ref": "yongsukprasertsuk/try-ensemble-lgbm-deberta", "kernel_id": "54195815"}, {"ref": "nghiabui73/essay", "kernel_id": "54835114"}, {"ref": "samrat15/logistic-regression-with-good-accuracy", "kernel_id": "54862270"}, {"ref": "jatinray/submission", "kernel_id": "54801803"}, {"ref": "imainjob/deberta-v3-base-single-model-baseline-lb-0-778", "kernel_id": "54783308"}, {"ref": "nhathoangtran/notebooka5a8208e1d", "kernel_id": "54575513"}, {"ref": "abeshith/disater-tweets-classification", "kernel_id": "54919630"}, {"ref": "ilya2raev/learning-agency-lab-aes-2-0-eda-topic-modeling", "kernel_id": "54199855"}, {"ref": "shamiks/statistical-feat-tfidf-lgbmr", "kernel_id": "54540490"}, {"ref": "vaibhavnakrani/baseline-debertav3-training-script", "kernel_id": "54783751"}, {"ref": "ye11725/tfidf-lgbm-baseline-cv-0-799-lb-0-799", "kernel_id": "54115245"}, {"ref": "shadesh/enhancing-essay-scoring-through-feature-engineerin", "kernel_id": "54684242"}, {"ref": "shadesh/leveraging-machine-learning-for-automated-essay-sc", "kernel_id": "54738122"}, {"ref": "ichigoe/lexical-diversity-per-label", "kernel_id": "54393311"}, {"ref": "ichigoe/cnn-baseline", "kernel_id": "54167397"}, {"ref": "qamarmath/automated-essay-scoring-model-inference-and-evalu", "kernel_id": "54153241"}, {"ref": "qamarmath/model-training-data-visualization", "kernel_id": "54127370"}, {"ref": "anexperiencedidiot/lgbm-catboost-ensemble", "kernel_id": "54631414"}, {"ref": "sofianechehboune/learning-agency-lab", "kernel_id": "54467926"}, {"ref": "seoyunje/aes2-xgboost-starter-lb-0-784", "kernel_id": "54826861"}, {"ref": "seoyunje/aes-2-catboost-starter-lb-0-791", "kernel_id": "54790934"}, {"ref": "seoyunje/aes-2-eda-baseline-for-starter", "kernel_id": "54531212"}, {"ref": "seoyunje/aes-2-lgbm-starter-lb-0-799", "kernel_id": "54601279"}, {"ref": "taichiuemura/aes2-0-catboost", "kernel_id": "54843630"}, {"ref": "taichiuemura/aes2-0-debertav3-embedding-eda", "kernel_id": "54387408"}, {"ref": "ghatotkachh/debrrtasssss", "kernel_id": "54686283"}, {"ref": "jeffersusus/5-fold-deberta-lgbm", "kernel_id": "54654910"}, {"ref": "jeffersusus/quick-start-lgbm-dc215b", "kernel_id": "54434425"}, {"ref": "sumandas0/eda-and-catboost-prediction", "kernel_id": "54114482"}, {"ref": "gaetanor/learninglabagency", "kernel_id": "54333799"}, {"ref": "yujansaya/gemma-smarty-pants-lora-peft", "kernel_id": "54795774"}, {"ref": "mallikarjunareddyk/learning-agency-lab-lgbm-tfid-mastery", "kernel_id": "54409468"}, {"ref": "crosswords/essay-topics-data-exploration", "kernel_id": "55937425"}, {"ref": "optimo/llm-simple-lora-customizable-pipeline-train-infer", "kernel_id": "55275245"}, {"ref": "nayjest/language-models-essay-scoring-benchmark", "kernel_id": "55697057"}, {"ref": "narsil/knai-2024-04-29", "kernel_id": "55822700"}, {"ref": "syhens/aes2-inference-single-model", "kernel_id": "55621328"}, {"ref": "syhens/aes-find-the-most-similar", "kernel_id": "55302366"}, {"ref": "mpware/aes2-what-are-the-essays-about", "kernel_id": "55637552"}, {"ref": "piotrekga/filter-persuade", "kernel_id": "55969589"}, {"ref": "zhangyue199/bert-baseline-train", "kernel_id": "55523550"}, {"ref": "zhangyue199/0-78-bert-baseline-inference", "kernel_id": "55758599"}, {"ref": "deepaksingh47/initial-eda", "kernel_id": "55662792"}, {"ref": "cdeotte/lb-probe-test-equal-persuade-corpus", "kernel_id": "55229018"}, {"ref": "cdeotte/deberta-v3-small-starter-cv-0-820-lb-0-800", "kernel_id": "55588109"}, {"ref": "batprem/aes2-deberta-lgbm-countvectorizer-lb-814", "kernel_id": "55812960"}, {"ref": "batprem/deberta-v3-small-starter-cv-0-820-lb-0-790", "kernel_id": "55645799"}, {"ref": "batprem/aes2-tuning-ensemble", "kernel_id": "55431616"}, {"ref": "batprem/aes2-xgboost-lightboost-share-the-same-loss", "kernel_id": "55591012"}, {"ref": "batprem/aes2-preprocessing", "kernel_id": "55586947"}, {"ref": "hustzx/mistral7b-classfication-baseline-trainning", "kernel_id": "55533093"}, {"ref": "emiz6413/directly-optimize-quadratic-weighted-kappa-loss", "kernel_id": "55564002"}, {"ref": "emiz6413/lb-0-797-deberta-v3-small-focal-loss", "kernel_id": "55600112"}, {"ref": "riyajm/mini-eda", "kernel_id": "55020151"}, {"ref": "hideyukizushi/k05012040-inf-aes2-400-afterfs-hp", "kernel_id": "55984389"}, {"ref": "hideyukizushi/k05012040-train-lgb-aes2-400-afterfs-hp", "kernel_id": "55979660"}, {"ref": "taikimori/training-deberta-v3-base", "kernel_id": "55247621"}, {"ref": "taikimori/metric-understand-quadratic-weighted-kappa", "kernel_id": "55320382"}, {"ref": "taikimori/inference-deberta-v3-base", "kernel_id": "55263004"}, {"ref": "taikimori/train-conditional-ordinal-regression-loss", "kernel_id": "55610214"}, {"ref": "thymongosselink/holistic-aes-gemma-asap-kaggle-grades", "kernel_id": "55215243"}, {"ref": "dsohonosom/lal-deberta-base-mlm", "kernel_id": "55465408"}, {"ref": "myominhtet/deberta-v3-small", "kernel_id": "55940887"}, {"ref": "rishujamaiyar/essay-scoring-tf-idf", "kernel_id": "55011583"}, {"ref": "onkur7/essay-scoring-bert-finetuning-baseline-model", "kernel_id": "55233890"}, {"ref": "udaken10/gojidatuji-1", "kernel_id": "55758081"}, {"ref": "tarekyahia/extract-features-from-deberta-base", "kernel_id": "55825503"}, {"ref": "tarekyahia/train-in-the-all-features", "kernel_id": "55564862"}, {"ref": "mos3santos/learning-agency-lab-lgbm-tfid-mastery", "kernel_id": "55110362"}, {"ref": "stefanoclss/unselected-0-836-private-score-submission", "kernel_id": "55987255"}, {"ref": "surajshivakumar/essay-scoring-deberta-lightgbm", "kernel_id": "55306139"}, {"ref": "arshadulhoque/exploratory-data-analysis", "kernel_id": "55270980"}, {"ref": "winmedals/understanding-competition-metric-q-weighted-kappa", "kernel_id": "55708894"}, {"ref": "jbyeon/autoessayscoring-v0-01", "kernel_id": "55144245"}, {"ref": "minseoshannonkim/bert-voters", "kernel_id": "55699721"}, {"ref": "stefannastase/10-fold-lgbm-regressor-with-deberta", "kernel_id": "55349737"}, {"ref": "ravi20076/aes2024-xgboost-starter", "kernel_id": "55800697"}, {"ref": "yowamishi/llm-simple-lora-customizable-pipeline", "kernel_id": "55412588"}, {"ref": "abdullahmeda/meta-llama-llama-3-8b-instruct", "kernel_id": "55089426"}, {"ref": "abdullahmeda/llama-3-8b-instruct-baseline-train", "kernel_id": "55088847"}, {"ref": "abdullahmeda/llama-3-8b-instruct-lora-adapter-experiment-1", "kernel_id": "55087812"}, {"ref": "abdullahmeda/llama-3-8b-instruct-baseline-submission", "kernel_id": "55087850"}, {"ref": "prokaggler22/essay-scoring-challenge-train", "kernel_id": "55298795"}, {"ref": "morningduck/aes2-inference", "kernel_id": "55844901"}, {"ref": "hodinhtrieu/adding-corpus-2-0-data", "kernel_id": "55244037"}, {"ref": "justin1357/cv0-854", "kernel_id": "55673527"}, {"ref": "vhonghoavin/aes-test", "kernel_id": "55558592"}, {"ref": "ilya2raev/f-tfm-inference", "kernel_id": "55975998"}, {"ref": "ilya2raev/funnel-transformer-baseline-train", "kernel_id": "55903152"}, {"ref": "hrushikeshdongre/notebook2317ed9232", "kernel_id": "55360711"}, {"ref": "shamiks/cv-0-838-lb-0-814-deberta-tf-idf-use", "kernel_id": "55360826"}, {"ref": "shadesh/learning-agency-lab-automated-essay-scoring-2-0", "kernel_id": "55026942"}, {"ref": "mrleductrung/automated-essay-scoring-2-0", "kernel_id": "55252006"}, {"ref": "xianhellg/more-feature-engineering-feature-selection-0-817", "kernel_id": "55056414"}, {"ref": "qamarmath/fine-tuning-hugging-face-deberta-v3", "kernel_id": "55198244"}, {"ref": "qamarmath/predictions-using-fine-tuning-hugging-face-deberta", "kernel_id": "55464452"}, {"ref": "farmnew/learning-agency-lab-automated-essay-sc-2-0", "kernel_id": "55199945"}, {"ref": "ravaghi/automated-essay-scoring-debertav3-training", "kernel_id": "55977088"}, {"ref": "ravaghi/automated-essay-scoring-debertav3-inference", "kernel_id": "55990261"}, {"ref": "seoyunje/aes-2-lgbm-with-persuade", "kernel_id": "55343496"}, {"ref": "seoyunje/aes2-deberta-base", "kernel_id": "55183916"}, {"ref": "seoyunje/aes2-roberta-longformer", "kernel_id": "55245511"}, {"ref": "seoyunje/aes-2-custom-deberta-with-different-header", "kernel_id": "55800358"}, {"ref": "seoyunje/aes-2-lgbm-backbone", "kernel_id": "55444834"}, {"ref": "taichiuemura/aes-2-0-kerasnlp-starter", "kernel_id": "55858362"}, {"ref": "lorenzojayd/aes-2-baseline", "kernel_id": "55561601"}, {"ref": "samadnajm/0-818", "kernel_id": "55227515"}, {"ref": "kevinbnisch/mixedbread-ai-mxbai-embed-large-v1", "kernel_id": "55196069"}, {"ref": "kevinbnisch/sentence-transformer", "kernel_id": "55194902"}, {"ref": "arnabmathjee/automated-essay-scoring", "kernel_id": "55312479"}, {"ref": "jeffersusus/more-feature-engineering-feature-selection-0-817", "kernel_id": "55320998"}, {"ref": "jeffersusus/aes2-deberta-lgbm-countvectorizer-lb-819", "kernel_id": "55866044"}, {"ref": "hemanthhvv/automated-essay-scoring-getting-start", "kernel_id": "55025269"}, {"ref": "tongminhtri/logistic-regression-baseline-tri", "kernel_id": "55286319"}, {"ref": "neslihanozeryildiz/data-analysis-netflix-movies-and-tv-shows", "kernel_id": "55389040"}, {"ref": "guillaums/error-in-tfidf-vectorizer-in-baseline-nbs", "kernel_id": "55988476"}, {"ref": "dang2608/analyze-the-aes-2-0-data", "kernel_id": "55657437"}, {"ref": "thrillim/aes2-deberta-lgbm-countvectorizer-lb-819", "kernel_id": "55917781"}, {"ref": "curiouscyborgs/aes2-optimize-run-time", "kernel_id": "55550346"}, {"ref": "dennosity/aes-2-training", "kernel_id": "55824186"}, {"ref": "kyamie/gemma-7b-baseline", "kernel_id": "55356142"}, {"ref": "abhishek/training-model-s-using-autotrain", "kernel_id": "56481018"}, {"ref": "hangjoni/eda-essay-length-topics", "kernel_id": "56063720"}, {"ref": "optimo/llama3-qlora-torchtune", "kernel_id": "56324214"}, {"ref": "syhens/aes2-inference-oof", "kernel_id": "56492916"}, {"ref": "syhens/aes2-lb-prob-no-new-prompt-in-hidden-test-set", "kernel_id": "56333231"}, {"ref": "mpware/aes2-what-are-the-10k-gpt4-essays-about", "kernel_id": "56008879"}, {"ref": "ragnar123/adversarial-validation", "kernel_id": "56547914"}, {"ref": "deepaksingh47/feature-analysis-text-and-spelling-err-features", "kernel_id": "56455892"}, {"ref": "deepaksingh47/eda-feature-engineering", "kernel_id": "56277576"}, {"ref": "deepaksingh47/feature-engineeing-lgbm", "kernel_id": "56685254"}, {"ref": "batprem/aes2-added-fb-prize-as-features-preprocessing", "kernel_id": "56702319"}, {"ref": "batprem/aes2-eval-added-fb-prize-as-features-8168c5", "kernel_id": "56829005"}, {"ref": "batprem/aes2-text-vectorization", "kernel_id": "56890823"}, {"ref": "batprem/fb3-deberta-family-inference-9-28-updated", "kernel_id": "56312381"}, {"ref": "sinchir0/text-eda", "kernel_id": "56970958"}, {"ref": "guillaumeraille/llama-3-8b-vs-student-levenshtein-distance", "kernel_id": "56345359"}, {"ref": "gdataranger/automated-essay-scoring-ordinal-regression-score", "kernel_id": "56570579"}, {"ref": "gdataranger/automated-essay-scoring-ordinal-regression", "kernel_id": "56013151"}, {"ref": "emiz6413/cv-0-825-lb-0-803-deberta-v3-small-with-huber-loss", "kernel_id": "56149772"}, {"ref": "emiz6413/predict-the-prompts", "kernel_id": "56210463"}, {"ref": "shrutidceit/xplained-deberta-v3-small-regression", "kernel_id": "56967384"}, {"ref": "taikimori/inference-predict-by-retrieval-approach", "kernel_id": "56910375"}, {"ref": "taikimori/eda-non-essay-features-of-persuade-2-0", "kernel_id": "56147625"}, {"ref": "atharvaingle/adversarial-validation", "kernel_id": "56720444"}, {"ref": "rexdeng/deberta-v1", "kernel_id": "56471685"}, {"ref": "minseoshannonkim/llmean", "kernel_id": "56430480"}, {"ref": "minseoshannonkim/roberta-large-essay-scoring", "kernel_id": "56040133"}, {"ref": "yawong1983/lgbm-model", "kernel_id": "56024303"}, {"ref": "morningduck/aes2-training-deberta-gfold", "kernel_id": "56368038"}, {"ref": "morningduck/aes2-training-lgbm-tuning", "kernel_id": "56367239"}, {"ref": "hodinhtrieu/train-lgbm-extra-feature-from-feedback-comp", "kernel_id": "56980898"}, {"ref": "hodinhtrieu/inference-lgbm-extra-feature-from-feedback-comp", "kernel_id": "56984921"}, {"ref": "cnhlquang/aes-2-0-with-naive-bayse-logistic-regression-svm", "kernel_id": "56728895"}, {"ref": "ippeiogawa/prompt-predictor-for-test-data", "kernel_id": "56420389"}, {"ref": "abeshith/classifier-agency-lab", "kernel_id": "56245635"}, {"ref": "thyanhm/fit-hcmus-2", "kernel_id": "56823435"}, {"ref": "nileshiq/innovating-learning-with-automated-essay-scoring", "kernel_id": "56893103"}, {"ref": "kazars24/gb-roberta", "kernel_id": "56630478"}, {"ref": "kazars24/logreg-baseline", "kernel_id": "56095756"}, {"ref": "qamarmath/deberta-lightgbm-for-automated-essay-scoring", "kernel_id": "56011038"}, {"ref": "caokhoihuynh/learning-agency-lab-2-0", "kernel_id": "56276088"}, {"ref": "linhhhhhhhh/nlp-eda-basic-prediction", "kernel_id": "56089990"}, {"ref": "linhhhhhhhh/nlp-advanced-but-simplenn", "kernel_id": "56821404"}, {"ref": "linhhhhhhhh/jax-tensor-flow-i-cant-submiss", "kernel_id": "56951191"}, {"ref": "hhhmgk/aes2-0-main", "kernel_id": "56981776"}, {"ref": "lorenzojayd/aes-2-spell-check", "kernel_id": "56586178"}, {"ref": "hojuna/deberta-asap", "kernel_id": "56222720"}, {"ref": "kevinbnisch/bokbokbok", "kernel_id": "56391460"}, {"ref": "jeffersusus/0-818-deberta-v3-large-lgbm-baseline-4b5d92", "kernel_id": "56309641"}, {"ref": "namnh2711/essay-submition", "kernel_id": "56899981"}, {"ref": "arakawamusashi/tfidf-lgbm-baseline-lda", "kernel_id": "56135922"}, {"ref": "hieunguyen203/svm-model", "kernel_id": "56117435"}, {"ref": "ssamuelstephen/preprocessing-submission0", "kernel_id": "56795371"}, {"ref": "robinxie/notebook679429ce16", "kernel_id": "56407055"}, {"ref": "bmsothom/essay-preprocessing", "kernel_id": "56687503"}, {"ref": "porpita/dataprocessing", "kernel_id": "56449492"}, {"ref": "huggon1/deberta-lgbm", "kernel_id": "56036684"}, {"ref": "gopalsharma2001/simple-pytorch-torchtext-lstm", "kernel_id": "57142433"}, {"ref": "syhens/aes2-deberta-v3-small-fit-v5", "kernel_id": "57435280"}, {"ref": "jg2017/aes-2-0-eda", "kernel_id": "57774717"}, {"ref": "cdeotte/rapids-svr-starter-cv-0-830-lb-0-804", "kernel_id": "57116187"}, {"ref": "anthonytedde/exploratory-analysis-data-summary", "kernel_id": "57406976"}, {"ref": "batprem/aes2-modeling-with-fb-scoring", "kernel_id": "57168582"}, {"ref": "batprem/aes2-preproces-cache-vectorize", "kernel_id": "57337046"}, {"ref": "rachanabisht/lab-ae-scoring-complete-eda", "kernel_id": "57759642"}, {"ref": "datafan07/some-extra-features-cv-0-83", "kernel_id": "57199197"}, {"ref": "tanhcm/aes2-modeling-with-fb-scoring", "kernel_id": "57219161"}, {"ref": "tarekyahia/01-preprocessing-for-all-data", "kernel_id": "57379579"}, {"ref": "minseoshannonkim/t-sne-with-roberta", "kernel_id": "57149319"}, {"ref": "minseoshannonkim/xgb-feature-engineering-with-lda", "kernel_id": "57503199"}, {"ref": "ryenhails/test-for-lbset-just-has-5-7-topic-in-training-set", "kernel_id": "57986487"}, {"ref": "ravi20076/aes2024-vectorizer", "kernel_id": "57171056"}, {"ref": "antriksharya/trialsubmission", "kernel_id": "57554958"}, {"ref": "xyznihal/gradient-boosting-classifier-learning-agency-lab", "kernel_id": "57166956"}, {"ref": "hdrbozkurtt/learning-agency-lab-automated-essay-scoring-2-0", "kernel_id": "57318870"}, {"ref": "vhonghoavin/ptdltm-tfidf-lightgbm", "kernel_id": "57067600"}, {"ref": "ahmedxc4/aes-2-0-eda", "kernel_id": "57199670"}, {"ref": "tariqcp/understanding-aes-2-0-data-a-comprehensive-eda", "kernel_id": "57351876"}, {"ref": "weishanshan033/notebook123f6c6090", "kernel_id": "57187753"}, {"ref": "ngvndng/rapids-svr", "kernel_id": "57513972"}, {"ref": "caokhoihuynh/hck-learning-agency-lab-eda-lgbm", "kernel_id": "57850555"}, {"ref": "caokhoihuynh/feature-engineeing-lgbm-copy-ver", "kernel_id": "57855567"}, {"ref": "rorosaga/random-forest", "kernel_id": "57593926"}, {"ref": "seoyunje/aes-2-deberta-pl-lightning", "kernel_id": "57891750"}, {"ref": "seoyunje/deberta-v3-small-inference", "kernel_id": "57807785"}, {"ref": "shemyatenkovsergey/baseline", "kernel_id": "57253067"}, {"ref": "gagandeep44489/aes-2-0-kerasnlp-starter", "kernel_id": "57750689"}, {"ref": "wangchinnt/aes-2-0-kerasnlp", "kernel_id": "57004817"}, {"ref": "alexxxsem/lal-aes-2-0-sub", "kernel_id": "57371097"}, {"ref": "superconca/ahihi", "kernel_id": "57836775"}, {"ref": "mantasbutenas/automated-essay-scoring-2-0", "kernel_id": "57588050"}, {"ref": "kevinbnisch/grammar-errors-threshold-and-features-aes", "kernel_id": "57661366"}, {"ref": "leontanemura/jipotane", "kernel_id": "57926318"}, {"ref": "fanboyblackpink/21020165-deberta-2", "kernel_id": "57605257"}, {"ref": "jeffersusus/aes2-modeling-with-fb-scoring", "kernel_id": "57551291"}, {"ref": "nbdkwkg/aesscores", "kernel_id": "57836756"}, {"ref": "taikiseko/adversarial-validation-for-persuade", "kernel_id": "57041095"}, {"ref": "xinpengshou/aes2-0", "kernel_id": "57288043"}, {"ref": "maximilianscheinast/comp-lal-v1", "kernel_id": "57795938"}, {"ref": "lebinhthanh/baseline-tfidf-lgbm-eng-jpn", "kernel_id": "57510423"}, {"ref": "chuvylang/deberta", "kernel_id": "57480117"}, {"ref": "chuvylang/to-submit", "kernel_id": "57509034"}, {"ref": "amykiyama/preprocessing-notebook", "kernel_id": "57123901"}, {"ref": "kuangank/ase-fighting", "kernel_id": "57521432"}, {"ref": "minhhaidoly/speedrun", "kernel_id": "57695252"}, {"ref": "minhhaidoly/submit", "kernel_id": "57692591"}, {"ref": "alexluo338/final-notebook", "kernel_id": "57034119"}, {"ref": "alexxandro/k-nearest", "kernel_id": "57942394"}, {"ref": "alexxandro/baseline", "kernel_id": "57250063"}, {"ref": "ricardomendezc/new-trial", "kernel_id": "57602442"}, {"ref": "viettrnn/btnhommm", "kernel_id": "57507422"}, {"ref": "truonggiabinh/some-extra-features-cv-0-83", "kernel_id": "57792525"}, {"ref": "optimo/potentialshakeupanalysis", "kernel_id": "58576508"}, {"ref": "habedi/simple-deberta-ensemble", "kernel_id": "58666577"}, {"ref": "piotrekga/prompt-model", "kernel_id": "58665902"}, {"ref": "shionhonda/aes2-train-data-with-prompt-and-is-kaggle-only", "kernel_id": "58633282"}, {"ref": "utm529fg/aes-initial-eda", "kernel_id": "58587283"}, {"ref": "mcseem/aes-submission-with-replicated-word-stat-features", "kernel_id": "58263419"}, {"ref": "michau96/essay-scoring-fine-tuning-dbert-in-huggingface", "kernel_id": "58587608"}, {"ref": "tanakasandesuka/persaude-2-simple-eda", "kernel_id": "58366438"}, {"ref": "alejopaullier/aes-2-back-translation-quality-assurance", "kernel_id": "58996044"}, {"ref": "thymongosselink/zero-shot-gemma-asap-kaggle-and-aes-2-0-grades", "kernel_id": "58115871"}, {"ref": "hugowjd/embedding-mlp-model-feature-engineering-lgbm", "kernel_id": "58080324"}, {"ref": "prodromosize/prediction-with-scikit-learn-pipelines", "kernel_id": "58282918"}, {"ref": "ratenalp/tfidf-lgbm-baseline-with-code-comments", "kernel_id": "58661274"}, {"ref": "sohailds/tf-idf-baseline", "kernel_id": "58228083"}, {"ref": "nabojyotipandey/deberta-lgbm-with-detailed-code-comments", "kernel_id": "58549938"}, {"ref": "nabojyotipandey/lgbm-feature-engineering", "kernel_id": "58503694"}, {"ref": "arshadulhoque/aes-2-submission", "kernel_id": "58451147"}, {"ref": "arshadulhoque/aes-2-train", "kernel_id": "58450607"}, {"ref": "ryenhails/aes2-lgbm-deberta-baseline", "kernel_id": "58130512"}, {"ref": "ryenhails/deberta-lgbm-with-detailed-code-comments", "kernel_id": "58102631"}, {"ref": "wendigo245/aes2-modeling-with-fb-scoring", "kernel_id": "58192171"}, {"ref": "curiosity202066/notebook5a641b5cab", "kernel_id": "58783615"}, {"ref": "nguynminh444/aes2-modeling-with-fb-scoring", "kernel_id": "58527792"}, {"ref": "azraimohamad/essay-score-prediction-deberta-x-lora-training", "kernel_id": "58545515"}, {"ref": "antriksharya/nn-lgbm-and-xgb-with-word2vec-and-extra-data", "kernel_id": "58205037"}, {"ref": "minhquan069/deberta-finetuning-aes", "kernel_id": "58535758"}, {"ref": "rushikeshdhaigude/automated-essay-scoring-2-0-notebook", "kernel_id": "58113792"}, {"ref": "antonadonin/tfidf-essay-solution", "kernel_id": "58889372"}, {"ref": "minhquan2k1/debert-aes", "kernel_id": "58171301"}, {"ref": "chieens/llama-test", "kernel_id": "58910339"}, {"ref": "chieens/essay", "kernel_id": "58248586"}, {"ref": "cheesepp/notebook8b765d2d09", "kernel_id": "58722387"}, {"ref": "gbinhk17hl/some-extra-features-cv-0-83-a962f1", "kernel_id": "58428590"}, {"ref": "vhonghoavin/tn-2-hv-edit-training-lgbm-model-for-essay", "kernel_id": "58579647"}, {"ref": "sandeepsharma94169/essay-scoring-tfidf-lgbm-70-accuracy", "kernel_id": "58417955"}, {"ref": "sandeepsharma94169/essay-scoring-tfidf-lgbm-xgboost-76-accuracy", "kernel_id": "58971338"}, {"ref": "nguyentk3/notebookef64bb7a25", "kernel_id": "58621988"}, {"ref": "iammyeongbin/firstkaggle", "kernel_id": "58727346"}, {"ref": "seventyfivebyte/natural-language-processing-something-20240602", "kernel_id": "58638517"}, {"ref": "shadesh/automated-essay-scoring-using-machine-learning", "kernel_id": "58584496"}, {"ref": "sparkleluo/homework-luo", "kernel_id": "58719954"}, {"ref": "mplee30/minhphuong-aes-exploratory-data-analysis", "kernel_id": "58494143"}, {"ref": "phamletunhi/tn-2-training-lgbm-model-for-essay", "kernel_id": "58559955"}, {"ref": "anexperiencedidiot/aes2-added-fb-prize-as-features-preprocessing-ar", "kernel_id": "58977592"}, {"ref": "yinhuhumin/final2", "kernel_id": "58971702"}, {"ref": "yinhuhumin/final", "kernel_id": "58967621"}, {"ref": "yinhuhumin/datapre", "kernel_id": "58701125"}, {"ref": "hcmus0pgn/group-15-debertav3-for-aes2-0", "kernel_id": "58692778"}, {"ref": "minhtringuci/lal-aes-2-0", "kernel_id": "58702724"}, {"ref": "caokhoihuynh/generate-new-essays", "kernel_id": "58767970"}, {"ref": "carlosslocar/scoring", "kernel_id": "58245468"}, {"ref": "rizwanash/learning-agency-lab", "kernel_id": "58566345"}, {"ref": "doesitworkornot/deberta-v3-base", "kernel_id": "58513563"}, {"ref": "valerazv/automated-essay-scoring-2-0", "kernel_id": "58198893"}, {"ref": "siyahulhaq11/mistral-fine-tune", "kernel_id": "58378246"}, {"ref": "suj20n9/feedback", "kernel_id": "58790324"}, {"ref": "roschildrui/deberta-only-thresholds-optimize-lb-0-81", "kernel_id": "58962939"}, {"ref": "dungdo1001/0-818-deberta-v3-large-lgbm-baseline-4b5d92", "kernel_id": "58447689"}, {"ref": "rudyzzyzzy/zzy4399", "kernel_id": "58984083"}, {"ref": "tyanjim/ida-kaggle-competition", "kernel_id": "58459409"}, {"ref": "aknightofcs/final-deberta", "kernel_id": "58647718"}, {"ref": "kaimingmit/scoring", "kernel_id": "58407991"}, {"ref": "kaimingmit/0-755", "kernel_id": "58979044"}, {"ref": "cckhai/debertav3-kaggle-competition", "kernel_id": "58700050"}, {"ref": "yugimotou/debert-aes", "kernel_id": "58184205"}, {"ref": "nateliu0621/neuron-network", "kernel_id": "58071178"}, {"ref": "yekenot/aes-2-deberta-v3-base-cls-0-fold-cv-0-815", "kernel_id": "59645574"}, {"ref": "soyaoki/aes2-0-englishessay-scoring-lm", "kernel_id": "59632081"}, {"ref": "batprem/aes2-add-thresholds", "kernel_id": "59984771"}, {"ref": "ayhampar/deberta-v3-small-totalwords", "kernel_id": "59001210"}, {"ref": "ayhampar/deberta-v3-small-totalsentences", "kernel_id": "59001723"}, {"ref": "stpeteishii/essay-score-torch-roberta", "kernel_id": "59270513"}, {"ref": "thymongosselink/asap-dataset-statistics-and-sub-rubric-models", "kernel_id": "59439625"}, {"ref": "thymongosselink/ensemble-gemma-content", "kernel_id": "59639904"}, {"ref": "pinoystat/spacy-on-learning-agency-lab-nlp", "kernel_id": "59512171"}, {"ref": "besuto/bert-embedding-retrieval-majority-top-k", "kernel_id": "59201411"}, {"ref": "arindamroy23/spelling-corrector", "kernel_id": "59295519"}, {"ref": "tasfiqkamran/essay-scoring-3-inference", "kernel_id": "59435273"}, {"ref": "suhhyegyo/feature-a-lgbm-copy-ver-987e55ws", "kernel_id": "59914960"}, {"ref": "maverickss26/aes-2-0-using-deberta-large", "kernel_id": "59990547"}, {"ref": "catanddog2/aes-2-back-translation-quality-assurance", "kernel_id": "59435738"}, {"ref": "shan007007/how-good-is-that-essay", "kernel_id": "59253662"}, {"ref": "antriksharya/textstat-and-extra-feats-with-deberta-and-lgbm", "kernel_id": "59063878"}, {"ref": "tranhoangquan/some-extra-features-cv-0-83", "kernel_id": "59055855"}, {"ref": "xero07m/mistral-7b-baseline-finetune-servicenow-query", "kernel_id": "59280022"}, {"ref": "shweta0812/learning-llm-fine-tuning-using-peft", "kernel_id": "59711048"}, {"ref": "weishanshan033/notebooka7599c7f06", "kernel_id": "59200345"}, {"ref": "sandeepsharma94169/essay-nlp-model-transformers", "kernel_id": "59681570"}, {"ref": "nguyentk3/fork-of-notebookef64bb7a25-fd4737", "kernel_id": "59349255"}, {"ref": "mplee30/fit-hcmus-04-aes-exploratory-data-analysis", "kernel_id": "59456074"}, {"ref": "ichigoe/llama-3-8b-instruct-prompt-tuning", "kernel_id": "59527902"}, {"ref": "phamletunhi/group-04-training-lgbm-model-for-essay", "kernel_id": "59381696"}, {"ref": "natu2003/add-feature", "kernel_id": "59312247"}, {"ref": "natu2003/final", "kernel_id": "59283125"}, {"ref": "benjamin414141/svm-k-fold", "kernel_id": "59088656"}, {"ref": "caokhoihuynh/group-04-training-lgbm-model-for-essay", "kernel_id": "59307604"}, {"ref": "thaivy175/tfigf-xgb", "kernel_id": "59282183"}, {"ref": "vineetgupta2023/daigt-mistral-7b-tpu-bfloat16-train-try", "kernel_id": "59481252"}, {"ref": "ishanbhargava19/persuade-traindata-train", "kernel_id": "59451787"}, {"ref": "nextnlp/svr-two-stage", "kernel_id": "59143738"}, {"ref": "kyohei0318/jipokyo", "kernel_id": "59046120"}, {"ref": "leontanemura/jiiiiiiiiip", "kernel_id": "59035324"}, {"ref": "senbaiyu/learning-agency-lab-lstm-model-max-score-0-7", "kernel_id": "59620278"}, {"ref": "suj20n9/method2", "kernel_id": "59893341"}, {"ref": "justdylan/fit-hcmus-10", "kernel_id": "59273646"}, {"ref": "nguyentoanhcmus/aes-final-version", "kernel_id": "59452190"}, {"ref": "aarishasifkhan/learning-agency-lab-essay-automation-rnn", "kernel_id": "59524925"}, {"ref": "aarishasifkhan/learning-agency-lab-essay-automation-1", "kernel_id": "59462402"}, {"ref": "aarishasifkhan/learning-agency-essay-automation-gpt-model", "kernel_id": "59863332"}, {"ref": "aarishasifkhan/learning-agency-essay-automation-with-lstm-model", "kernel_id": "59936223"}, {"ref": "aarishasifkhan/learning-agency-essay-automation-with-gbm", "kernel_id": "59925925"}, {"ref": "aarishasifkhan/learning-agency-lab-essay-automation-cnn", "kernel_id": "59604756"}, {"ref": "aarishasifkhan/learning-agency-essay-automation-bert-model", "kernel_id": "59703223"}, {"ref": "kurocnguyen/project-final-version-final", "kernel_id": "59432228"}, {"ref": "minhtr171717171/notebook085ad885b3", "kernel_id": "59289072"}, {"ref": "hilda21/automated-essay-scoring-debertav3-inferen-314652", "kernel_id": "59520277"}, {"ref": "duolacmeng/aes2-deberta-lgbm-countvectorizer-lb-819-1a5a78", "kernel_id": "59576410"}, {"ref": "dangannguyen/debertav3-base-en-kerasnlp", "kernel_id": "59135810"}, {"ref": "dangannguyen/debertav3-base-en-kerasnlp-fork", "kernel_id": "59289229"}, {"ref": "radheya25/deberta-small-fine-tuned-ordinal-regression", "kernel_id": "59895513"}, {"ref": "zyqandzz/aes2-added-fb-prize-as-features-preprocessing", "kernel_id": "59167737"}, {"ref": "duolacmenga/deberta", "kernel_id": "59687318"}, {"ref": "daniilsobolev/aes2-modeling-with-fb-scoring", "kernel_id": "59908701"}, {"ref": "mstamatis/pytorch-torchtext-lstm-using-custom-af", "kernel_id": "60405992"}, {"ref": "syhens/aes2-voting", "kernel_id": "60264017"}, {"ref": "syhens/aes2-effs-tree-based-sub", "kernel_id": "60688207"}, {"ref": "yekenot/aes-2-deberta-v3-base-reg-0-fold-cv-0-820", "kernel_id": "60596675"}, {"ref": "thegodchurch/bert-tranformer-class", "kernel_id": "60518137"}, {"ref": "soyaoki/aes2-0-multi-scale-bert-aes", "kernel_id": "60078440"}, {"ref": "soyaoki/aes2-0-phi-3-mini", "kernel_id": "60066635"}, {"ref": "batprem/ollama-test-qwen", "kernel_id": "60730798"}, {"ref": "guillaumeraille/aes-2-0-best-embedding-research", "kernel_id": "60157024"}, {"ref": "hideyukizushi/aes2-pn-alef-b-220v0626v1-regv1v4", "kernel_id": "60960244"}, {"ref": "thymongosselink/holistic-gemma-asap-grades", "kernel_id": "60665021"}, {"ref": "thymongosselink/zero-shot-gemma-asap-kaggle-grades", "kernel_id": "60579271"}, {"ref": "thymongosselink/ensemble-gemma-conventions", "kernel_id": "60861436"}, {"ref": "thymongosselink/ensemble-gemma-sentence-fluency", "kernel_id": "60859638"}, {"ref": "rishujamaiyar/lgbm-on-text-feat", "kernel_id": "60702966"}, {"ref": "arindamroy23/pretrain-deberta-base-contrastive-learning", "kernel_id": "60706061"}, {"ref": "lenferdetroud/aes2-tuning-ensemble", "kernel_id": "60759531"}, {"ref": "tasfiqkamran/feedback-prize-3", "kernel_id": "60556177"}, {"ref": "nidivasu/experiment", "kernel_id": "60839189"}, {"ref": "nguynminh444/aes2-modeling-with-fb-scoring-minh-028fee", "kernel_id": "60060217"}, {"ref": "vipinkumar07/eda-for-aes", "kernel_id": "60258649"}, {"ref": "samvelkoch/essay-text-features-extraction-set-1", "kernel_id": "60575945"}, {"ref": "samvelkoch/essay-test-feature-extraction-spacy-set-2", "kernel_id": "60572052"}, {"ref": "hodinhtrieu/lazypredict-what-is-the-best-ml-model-for-aes", "kernel_id": "60061095"}, {"ref": "shubhamchauhan22222/embeddings-train", "kernel_id": "60413688"}, {"ref": "shubhamchauhan22222/deberta-baseline-aes2-0-train", "kernel_id": "60514942"}, {"ref": "shubhamchauhan22222/funnel-embedding", "kernel_id": "60675696"}, {"ref": "haoweihua/aes2-ensemble-xgb-lgb", "kernel_id": "60885101"}, {"ref": "oostg0t/aes2-0-llm-training", "kernel_id": "60300326"}, {"ref": "qingtianmengying/notebook-lora", "kernel_id": "60402955"}, {"ref": "tingyu516/aes2-private-score-0-83531", "kernel_id": "60197293"}, {"ref": "raja6242/easy-essay-transformer-lal", "kernel_id": "60474317"}, {"ref": "egorandreasyan/essay-scoring-torch-bert", "kernel_id": "60236623"}, {"ref": "freshmelon/aes2-modeling-with-fb-scoring-minh-fcf64-bafc06", "kernel_id": "60665970"}, {"ref": "liuhaha1888/aes-2-deberta-v3-base-cls-0-fold-cv-0-ff6860", "kernel_id": "60759532"}, {"ref": "dysfunctionalhuman/deberta-trial", "kernel_id": "60772992"}, {"ref": "michabogusawski/essay-scoring-1", "kernel_id": "60867610"}, {"ref": "nextnlp/tfidf-lgbm-baseline-with-code-comments", "kernel_id": "60470616"}, {"ref": "nextnlp/prompt-train-data", "kernel_id": "60318175"}, {"ref": "nextnlp/deberta-v3-base-gkf-starter-cv-0-76-lb-0-802", "kernel_id": "60416773"}, {"ref": "fanyang888/aes-2-0-kerasnlp-starter", "kernel_id": "60636415"}, {"ref": "roschildrui/aes2-vectorizer", "kernel_id": "60081200"}, {"ref": "dungdo1001/rapids-svr-starter-cv-0-830-lb-0-800-5daad6", "kernel_id": "60649546"}, {"ref": "aarishasifkhan/learning-agency-essay-automation-with-bi-lstm", "kernel_id": "60077715"}, {"ref": "aarishasifkhan/learning-agency-essay-automation-with-random-fr", "kernel_id": "60054119"}, {"ref": "aarishasifkhan/learning-agency-essay-automation-with-svm", "kernel_id": "60056515"}, {"ref": "aryandessai/embeddings-extractor", "kernel_id": "60937197"}, {"ref": "aryandessai/tuned-svr", "kernel_id": "60985658"}, {"ref": "yedaotian/automated-essay-scoring-2-with-persaude", "kernel_id": "60045488"}, {"ref": "ronnyg123/use-of-1d-convents-to-score-essays", "kernel_id": "60667521"}, {"ref": "peterjlai/automated-essay-proofreading", "kernel_id": "60593039"}, {"ref": "gukanghong/aes-g-baseline", "kernel_id": "60578922"}, {"ref": "hilda21/aes2-deberta-lgbm-countvectorizer-lb-814", "kernel_id": "60698807"}, {"ref": "yuanli117/notebook5015156ad8", "kernel_id": "60725971"}, {"ref": "hippokosuke/notebook9a25c540f0", "kernel_id": "60469819"}, {"ref": "federicorausa/essay-ranking-with-ordinal-logit", "kernel_id": "60987594"}, {"ref": "vgng09051996/lgbm-add-bert-features", "kernel_id": "60411136"}, {"ref": "daniilsobolev/aes2-merged-preprocessing-scoring", "kernel_id": "60266656"}, {"ref": "kunzeheling/aes2-deberta-lgbm-countvectorizer-lb-819", "kernel_id": "60852884"}, {"ref": "ppujari/aes-2-distilbert", "kernel_id": "61316979"}, {"ref": "tascj0/aes2-submit", "kernel_id": "61296532"}, {"ref": "syhens/aes2-effs-tree-based-best", "kernel_id": "61326920"}, {"ref": "vladimirsvsv77/qwen2-05-backbone", "kernel_id": "61216610"}, {"ref": "serjhenrique/aes-deberta-s-pairwise-contrastive-regression", "kernel_id": "61127798"}, {"ref": "serjhenrique/aes-deberta-s-pairwise-regression-sub", "kernel_id": "61143363"}, {"ref": "thymongosselink/ensemble-sub-rubric-predictions", "kernel_id": "61293518"}, {"ref": "lonnieqin/automated-essay-scoring-with-gemma-2-embedding", "kernel_id": "61367633"}, {"ref": "lonnieqin/download-gemma-2-model", "kernel_id": "61368439"}, {"ref": "shivangitomar/frenchfry-essay-final", "kernel_id": "61128792"}, {"ref": "killercoder/notebook85de458dd9", "kernel_id": "61374554"}, {"ref": "kaavyamahajan/pre-trained-word-embeddings", "kernel_id": "61220461"}, {"ref": "kenbwire/automated-easy-scoring", "kernel_id": "61477244"}, {"ref": "yukawithdata/ensembles-learning-agency-lab", "kernel_id": "61246910"}, {"ref": "tanujtaneja/aes-2-final", "kernel_id": "61704954"}, {"ref": "samvelkoch/essay-roberta-inference", "kernel_id": "61157356"}, {"ref": "samvelkoch/essay-masked-fat-mamba-inference", "kernel_id": "61156705"}, {"ref": "samvelkoch/essay-spacy-mamba-inference", "kernel_id": "61312229"}, {"ref": "samvelkoch/belka-interactive-leaderboard-and-shake", "kernel_id": "61802775"}, {"ref": "basiclau/aes-lab", "kernel_id": "61443713"}, {"ref": "ye11725/aes24-efficiency-3rd-train", "kernel_id": "61538557"}, {"ref": "ye11725/aes24-discourse-vector", "kernel_id": "61535956"}, {"ref": "ye11725/aes24-efficiency-3rd-inference", "kernel_id": "61535697"}, {"ref": "ichigoe/3-llms-voting-ensemble", "kernel_id": "61449354"}, {"ref": "drchenb/aes2-eval-added-fb-prize-as-features-8168c-0f71d3", "kernel_id": "61207151"}, {"ref": "qamarmath/microsoft-deberta-v3-small-predictions", "kernel_id": "61585856"}, {"ref": "qamarmath/fork-of-best-ann-model-7eb4f7", "kernel_id": "61628460"}, {"ref": "qamarmath/fork-of-svm-model", "kernel_id": "61624631"}, {"ref": "qamarmath/fork-of-fork-of-microsoft-deberta-v3-base", "kernel_id": "61624754"}, {"ref": "qamarmath/fork-of-predictions-using-longformer-base-4096", "kernel_id": "61622216"}, {"ref": "qamarmath/fork-of-predictions-asing-debertav3-base", "kernel_id": "61622217"}, {"ref": "qamarmath/fork-of-microsoft-deberta-v3-base", "kernel_id": "61622228"}, {"ref": "qamarmath/fork-of-microsoft-deberta-v3-small-7a7c95", "kernel_id": "61622760"}, {"ref": "qamarmath/fork-of-longformer-base-4096-traning", "kernel_id": "61624030"}, {"ref": "qamarmath/fork-of-lgb-traning", "kernel_id": "61622052"}, {"ref": "xxxzedmy/derbeta-train-study", "kernel_id": "61589310"}, {"ref": "xxxzedmy/deberta-infer-study", "kernel_id": "61664809"}, {"ref": "xxxzedmy/fe-and-study-polars", "kernel_id": "61670188"}, {"ref": "idontknowadrija/essaywritinggrading", "kernel_id": "61120020"}, {"ref": "williambmcclure/feedback3-final", "kernel_id": "61433671"}, {"ref": "batprem/skillane-01-basic-llm-calling-ipynb", "kernel_id": "62547086"}, {"ref": "dsohonosom/aes2-3rd-place-train", "kernel_id": "62117978"}, {"ref": "dsohonosom/aes2-3rd-place-submission", "kernel_id": "62023588"}, {"ref": "haoweihua/aes2-voting-local-rerun", "kernel_id": "62848821"}, {"ref": "satyajeetrai/backpropagation-for-classification", "kernel_id": "62225419"}, {"ref": "nextnlp/aes-show", "kernel_id": "63228872"}, {"ref": "hemanthhvv/detect-ai-generated-text", "kernel_id": "63006633"}, {"ref": "vijayravichander/mistral-7b-baseline", "kernel_id": "64356865"}, {"ref": "sayurudealwis/essay-score-with-ridge-regression", "kernel_id": "64723700"}, {"ref": "alihassanml/automated-essay-scoring-lstm-project", "kernel_id": "64723150"}, {"ref": "gneishameena/learning-agency-v2", "kernel_id": "64749521"}, {"ref": "gneishameena/learning-agency-v1", "kernel_id": "64614529"}, {"ref": "gneishameena/learning-agency-v4-randomforestregressormodel", "kernel_id": "64765987"}, {"ref": "gneishameena/kagcom-vector-regressor-model", "kernel_id": "64785112"}, {"ref": "gneishameena/kagglecom-random-forest-regressormodel-ipynb", "kernel_id": "64784173"}, {"ref": "ishandfernando/ciassignment", "kernel_id": "64495663"}, {"ref": "ahmeterdempamuk/segmenting-articles-automated-essay-scoring", "kernel_id": "64169762"}, {"ref": "alokakariyawasam/learning-essayscore-final", "kernel_id": "64833499"}, {"ref": "amaydoshi/grader-2", "kernel_id": "65162421"}, {"ref": "anexperiencedidiot/data-prep-for-rag", "kernel_id": "65490190"}, {"ref": "tonyher/deberta-base-baseline", "kernel_id": "65719362"}, {"ref": "mchen9191/llm-practise-aes", "kernel_id": "66924506"}, {"ref": "gneishameena/automated-essay-scoring-prediction", "kernel_id": "66276034"}, {"ref": "alokainduninew/notebook0366196667", "kernel_id": "66343526"}, {"ref": "tonytonyhe/attention-pool-0-freeze-second-train", "kernel_id": "67167203"}, {"ref": "erenkonta/renme-ajans-laboratuvar-otomatik-deneme-puanla", "kernel_id": "68911166"}, {"ref": "yezuochen/stat-deberta-v3-starter", "kernel_id": "71389132"}, {"ref": "tlshih/90f77533-92c7-4b97-9591-ba152f1e0538", "kernel_id": "71967114"}, {"ref": "tingjenyu/baseline-v1", "kernel_id": "71887147"}, {"ref": "evan3310/ntpu-final-project-train", "kernel_id": "72146167"}, {"ref": "exuan102345/deberta-v3-small-starter-cv-0-820-lb-0-790", "kernel_id": "72268273"}, {"ref": "pitinghau/more-feature-engineering-feature-selection-0-817", "kernel_id": "72658801"}, {"ref": "tlshih/a0cf7ed0-80ae-44c3-8f67-bd9abcf6194f", "kernel_id": "72386526"}, {"ref": "charlee0207/aes2-submission", "kernel_id": "72239747"}, {"ref": "dongxi/aes2-eval-added-fb-prize-as-features-8168c5", "kernel_id": "73272625"}, {"ref": "dongxi/aes2-preprocessing", "kernel_id": "73213576"}, {"ref": "dongxi/aes2-text-vectorization", "kernel_id": "73208008"}, {"ref": "tanyajain3108/automated-essay-scoring", "kernel_id": "73368258"}, {"ref": "kyleeechiu/deberta-v3-final-last-4", "kernel_id": "73616933"}, {"ref": "evan3310/ntpu-final-project-submission", "kernel_id": "73253181"}, {"ref": "exuan102345/fast-forward", "kernel_id": "73091111"}, {"ref": "exuan102345/deberta-v3-final", "kernel_id": "73420716"}, {"ref": "exuan102345/deberta-v3-final-attention", "kernel_id": "73616123"}, {"ref": "exuan102345/deberta-v3-final-last-4", "kernel_id": "73616164"}, {"ref": "exuan102345/aes2-0-ensemble", "kernel_id": "73699223"}, {"ref": "panpandaniel/deberta-v3-final", "kernel_id": "73499452"}, {"ref": "pitinghau/some-extra-features-cv-0-83", "kernel_id": "73435170"}, {"ref": "jaysurender/notebook208d7024bb", "kernel_id": "74307227"}, {"ref": "hctingnht/team-minekraft-dataflow2025", "kernel_id": "77310077"}, {"ref": "ayushgupte22/automated-essay-grading-with-nlp-master", "kernel_id": "80611240"}, {"ref": "cyruscsc/aes2-deberta-v3-k-fold", "kernel_id": "80815287"}, {"ref": "cyruscsc/aes2-random-forest-regression", "kernel_id": "80744215"}, {"ref": "cyruscsc/aes2-deberta-v3", "kernel_id": "80796722"}, {"ref": "visarionalexandru/ssl-random-forest-regression", "kernel_id": "82139960"}, {"ref": "visarionalexandru/aes2-deberta-v3", "kernel_id": "82100279"}, {"ref": "priyankapalshetkar/learn-aes-2-0-kerasnlp-starter", "kernel_id": "85019323"}, {"ref": "adityatodi1812/essay-scoring-20-simple-rnn", "kernel_id": "87813786"}, {"ref": "stpeteishii/essay-scoring-with-lightgbm-and-text-features", "kernel_id": "88648970"}, {"ref": "padhesra/deberta-v3-small-starter-cv-0-820-lb-0-7-d85bd6", "kernel_id": "94741961"}, {"ref": "phmngc/aes2-derbertav3-training", "kernel_id": "95258484"}, {"ref": "minhdon/ml-test", "kernel_id": "96788115"}, {"ref": "zzyzyyy/aes-2-0-kerasnlp-starter", "kernel_id": "96539561"}, {"ref": "phmngc/aes2-derbertav3-submit", "kernel_id": "97261509"}, {"ref": "minhdon/ml-submission", "kernel_id": "99033869"}, {"ref": "duy164/aes2-derbertav3-training", "kernel_id": "101718496"}, {"ref": "minhdon/aes2-derbertav3-training", "kernel_id": "102699102"}, {"ref": "duy164/aes2-derbertav3-training-f8815d", "kernel_id": "102693368"}, {"ref": "cuongphamvan123/aes2-derbertav3-training", "kernel_id": "102695186"}, {"ref": "dexter5815/notebook9b3790b47a", "kernel_id": "112272178"}, {"ref": "syednalain/notebook262b72b983", "kernel_id": "112038029"}, {"ref": "omarmuhammadgibran/notebook-mini-proyek-2", "kernel_id": "119737001"}, {"ref": "chrysls/dl-mp2", "kernel_id": "119707259"}, {"ref": "chrysls/dl-mp2-offline", "kernel_id": "119726470"}, {"ref": "llnitroz23ll/mini-proyek-2-zia", "kernel_id": "119831039"}, {"ref": "ufuomaonohwosafe/automatic-essay-scoring", "kernel_id": "119999737"}, {"ref": "arhyahafidz/tes123", "kernel_id": "119799179"}, {"ref": "bintangmahendra/dl-group-1", "kernel_id": "119805455"}, {"ref": "matthewjansen/aes-2-0-efficiency-6th-place-ell-model", "kernel_id": "135291252"}, {"ref": "matthewjansen/aes-2-0-efficiency-6th-place-training", "kernel_id": "135295931"}, {"ref": "matthewjansen/aes-2-0-efficiency-6th-place-inference", "kernel_id": "135347118"}]}
{"competition_id": "71513", "kernels": []}
{"competition_id": "71514", "kernels": []}
{"competition_id": "71518", "kernels": []}
{"competition_id": "71526", "kernels": [{"ref": "ssegui/recsysmfds2024-baseline-top-popular", "kernel_id": "51767910"}]}
{"competition_id": "71539", "kernels": []}
{"competition_id": "71549", "kernels": [{"ref": "krabhijeet/rsna2024-baseline-submission", "kernel_id": "57403123"}, {"ref": "srinivaskumarr/simplify-provided-data-to-images-labels-format", "kernel_id": "57667131"}, {"ref": "docxian/rsna-2024-lumbar-spine-explore-training-data", "kernel_id": "57395282"}, {"ref": "stpeteishii/rsna2024-images-with-lesions-slide-show", "kernel_id": "57960164"}, {"ref": "stpeteishii/rsna-2024-train-histplot", "kernel_id": "57848003"}, {"ref": "stpeteishii/rsna2024-one-study-images-slide-show", "kernel_id": "57849176"}, {"ref": "mpwolke/lumbar-disc-degeneration-coronal-view-dcm", "kernel_id": "57444151"}, {"ref": "mpwolke/lumbar-spinal-stenosis-lss-llama3-8b-chat-hf", "kernel_id": "57465916"}, {"ref": "mpwolke/rsna-2024-quantized-openllm-ro", "kernel_id": "57593592"}, {"ref": "mpwolke/rsna-2024-gemma-1-1-instruct-7b-en", "kernel_id": "57548521"}, {"ref": "abhinavsuri/anatomy-image-visualization-overview-rsna-raids", "kernel_id": "57463447"}, {"ref": "erivanoliveirajr/resume-baseline", "kernel_id": "57803473"}, {"ref": "adityaparikh668/getting-started-data-viz", "kernel_id": "57748702"}, {"ref": "hasanbasbunar/dicom-image-annotation-visualization", "kernel_id": "57713462"}, {"ref": "khoatran311/investigations-on-training-metadata", "kernel_id": "57796946"}, {"ref": "pavlobaranchuk/rsna-2024-lumbar-spine-degenerative-classification", "kernel_id": "57841820"}, {"ref": "tariqcp/understanding-rsna-data-a-comprehensive-eda", "kernel_id": "57412656"}, {"ref": "tariqcp/consolidating-train-label-coordinates-and-images", "kernel_id": "57488437"}, {"ref": "paulreiners/eda-rsna-2024", "kernel_id": "58540831"}, {"ref": "amineteffal/exploring-images-2", "kernel_id": "58714689"}, {"ref": "shubh1596/rsna-lower-back-starter-notebook", "kernel_id": "58134433"}, {"ref": "lihaoweicvch/data-visualization-zh", "kernel_id": "58978059"}, {"ref": "anoukstein/dicom-to-array-using-perplexity", "kernel_id": "58401266"}, {"ref": "anoukstein/all-pathology-patches-as-csv", "kernel_id": "58406213"}, {"ref": "srinivaskumarr/converting-dicom-images-to-png", "kernel_id": "58096612"}, {"ref": "utm529fg/rsna-initial-eda", "kernel_id": "58367076"}, {"ref": "tabassumnova/rsna-understanding-of-lumber-spine-conditions", "kernel_id": "58742075"}, {"ref": "samu2505/rsna-inference", "kernel_id": "58873341"}, {"ref": "samu2505/rsna-fastdicom2png-sagittal-coronal-axial", "kernel_id": "58880247"}, {"ref": "samu2505/rsna2024-training2-5dmodel", "kernel_id": "58352337"}, {"ref": "dataanalysit/rsna-2024-eda", "kernel_id": "58972751"}, {"ref": "allegich/lumbar-rsna-2024-visualizing-eda-sub", "kernel_id": "58370128"}, {"ref": "yujiariyasu/notebook0248a0e3f9", "kernel_id": "58803991"}, {"ref": "shaifchowdhury/average-baseline", "kernel_id": "58138479"}, {"ref": "shyamgupta196/eda-rsna-lumbar-normalization", "kernel_id": "58998452"}, {"ref": "shyamgupta196/explaining-classification-metric-rsna2024", "kernel_id": "58089279"}, {"ref": "tomaszszyrowski/rsna-lumbar-spine-analysis", "kernel_id": "58529305"}, {"ref": "aiinradiology/rsna-gav", "kernel_id": "58729979"}, {"ref": "quachnam/lsdc-rsna-2024-eda", "kernel_id": "58551530"}, {"ref": "satyaprakashshukl/rsna-lumbar-spine-analysis", "kernel_id": "58167132"}, {"ref": "anwarhawash/training-loop", "kernel_id": "58481412"}, {"ref": "anwarhawash/generate-test-predictions", "kernel_id": "58585750"}, {"ref": "karnakbaevarthur/spine", "kernel_id": "58575106"}, {"ref": "bvinning/rsna-24-dicom-viewer", "kernel_id": "58200062"}, {"ref": "bvinning/rsna-24-utilities", "kernel_id": "58193690"}, {"ref": "pankajdebroy/rsna-visualisation-training-submission", "kernel_id": "58660878"}, {"ref": "nikitavet/rsna-2024-eda", "kernel_id": "58395019"}, {"ref": "adityakishor1/radiological-society-of-north-america-rsna-lumba", "kernel_id": "58591784"}, {"ref": "adityakishor1/analysis-of-lumbar-spine-data-insights-from-rsna", "kernel_id": "58492018"}, {"ref": "haroon222221/notebook5ba16598cd", "kernel_id": "58908831"}, {"ref": "stemosamaghandour/discdiagonostic-spinevision-ai-by-osama-ghandour", "kernel_id": "58559365"}, {"ref": "mercurlc/rsna-data-analysis-clean-code", "kernel_id": "58558422"}, {"ref": "cabdinasirmnuur/notebookea7800cb9d", "kernel_id": "58517767"}, {"ref": "mohammadmkanna/rsna-merge", "kernel_id": "58882875"}, {"ref": "programmarself/degenerative-classification-of-lumbar-spine", "kernel_id": "58501687"}, {"ref": "gitbyt3/lumbar-spine-eda-cnn-building", "kernel_id": "58435895"}, {"ref": "fahmidachowdhury/rsna-2024-challenge", "kernel_id": "58935402"}, {"ref": "basantasharma/notebook50a48dd32b", "kernel_id": "58486882"}, {"ref": "wangkongqiang/lumbar-rsna-2024-visualizing-eda-sub", "kernel_id": "58980043"}, {"ref": "khalidmbq2008/notebookb7eb7dd4f6", "kernel_id": "58485502"}, {"ref": "chikaraohishi/rsna-2024-lumbar-spine-explore-dcm-metadata", "kernel_id": "58728474"}, {"ref": "chikaraohishi/rsna-2024-lumbar-spine-visualization-with-labels", "kernel_id": "58713566"}, {"ref": "greenflazh/analitics-of-rsna-lumbar", "kernel_id": "58531485"}, {"ref": "sebastianpoma/lumbarinjurydetection", "kernel_id": "58398919"}, {"ref": "vaillant/cross-reference-images-in-different-mri-planes", "kernel_id": "59068779"}, {"ref": "coderrkj/rsna-resnet-starter-notebook", "kernel_id": "59057458"}, {"ref": "dschettler8845/rsna-lsdc-let-s-learn-together-eda", "kernel_id": "59004860"}, {"ref": "samu2505/rsna-pytorch-train-woptimizemetric", "kernel_id": "59331553"}, {"ref": "samu2505/rsna-wandbmodelweights-crossvalidation", "kernel_id": "59048485"}, {"ref": "itsuki9180/rsna2024-lsdc-submission-baseline", "kernel_id": "59786633"}, {"ref": "itsuki9180/rsna2024-lsdc-making-dataset", "kernel_id": "59782518"}, {"ref": "itsuki9180/rsna2024-lsdc-training-baseline", "kernel_id": "59783279"}, {"ref": "yudaigoto/rsna-draw-image-original-and-with-label", "kernel_id": "59964908"}, {"ref": "hussamcheema/rsna-2024-classification-training", "kernel_id": "59537955"}, {"ref": "shubhamcodez/rsna-efficientnet-starter-notebook", "kernel_id": "59011347"}, {"ref": "antoinemasq/rsna-keras-inference-starter", "kernel_id": "59335296"}, {"ref": "antoinemasq/rsna-keras-training-starter", "kernel_id": "59299911"}, {"ref": "johnnyhyland/dicom-png", "kernel_id": "59440067"}, {"ref": "prabhakarnimmagadda/rsna-2024-jn11", "kernel_id": "59525938"}, {"ref": "shadesh/rsna-lumbar-spine-data-baseline-analysis", "kernel_id": "59203638"}, {"ref": "haroon222221/test-nb", "kernel_id": "59271210"}, {"ref": "haroon222221/modeltest", "kernel_id": "59266032"}, {"ref": "thntrngtnh/eda-rsna2024", "kernel_id": "59695972"}, {"ref": "jeff271/locate-lumbar-spine", "kernel_id": "59630585"}, {"ref": "liaoguoying/data-analysis-first-step", "kernel_id": "59929076"}, {"ref": "sumaniitm/primary-problem-study-rsna-2024", "kernel_id": "60629722"}, {"ref": "anoukstein/2d-segmentation-of-sagittal-lumbar-spine-mri", "kernel_id": "60806672"}, {"ref": "coderrkj/rsna-pytorch-test-infer", "kernel_id": "60416557"}, {"ref": "coderrkj/rsna2024-lsdc-submission-baseline", "kernel_id": "60509968"}, {"ref": "dschettler8845/rsna-lsdc-identify-spinal-regions", "kernel_id": "60750459"}, {"ref": "umar47/vision-transformer-for-lumbar-spine-classification", "kernel_id": "60441173"}, {"ref": "sadidul012/densenet201-submission", "kernel_id": "60568592"}, {"ref": "pansofluck/rsna2024-test-monai", "kernel_id": "60514565"}, {"ref": "gorgeous369/notebookebe254e5ec", "kernel_id": "60608272"}, {"ref": "px4860/monai-test", "kernel_id": "60608284"}, {"ref": "sidharkal/lumbar-spine-eda", "kernel_id": "60121734"}, {"ref": "hugowjd/rsna2024-lsdc-densenet-submission", "kernel_id": "60277055"}, {"ref": "hugowjd/rsna2024-lsdc-training-densenet", "kernel_id": "60412895"}, {"ref": "aiinradiology/rsna-image-handling", "kernel_id": "60747059"}, {"ref": "aiinradiology/rsna-model-handling", "kernel_id": "60659263"}, {"ref": "aiinradiology/rsna-data-handling", "kernel_id": "60098040"}, {"ref": "aiinradiology/rsna-functons", "kernel_id": "60155406"}, {"ref": "aiinradiology/rsna-image-display", "kernel_id": "60078953"}, {"ref": "aiinradiology/rsna-model", "kernel_id": "60269248"}, {"ref": "jackysywk/are-dicom-files-of-right-and-left-mirrorred", "kernel_id": "60620905"}, {"ref": "followjohn/rsna2024-interactive", "kernel_id": "60299952"}, {"ref": "followjohn/rsna2024-file-meta-to-dataframe", "kernel_id": "60081375"}, {"ref": "mos3santos/anatomy-image-visualization-overview-rsna-raids", "kernel_id": "60260554"}, {"ref": "mazenahmed11/rsna-2024-model", "kernel_id": "60422933"}, {"ref": "holy5contents/lumbar-spine-mri-analysis-for-beginners", "kernel_id": "60506139"}, {"ref": "chanchal24/rsna-2024-lsdc", "kernel_id": "60519665"}, {"ref": "kevinmeng2001/rsna-baseline", "kernel_id": "60365508"}, {"ref": "archie40004/rnsa-2024-eda-dataset-creation-i", "kernel_id": "60355944"}, {"ref": "alvarosl/3-rsna-2024-lumbar-spine-degenerative-classificati", "kernel_id": "60747555"}, {"ref": "junglebeastds/yolo-dataset", "kernel_id": "60891700"}, {"ref": "amalraj28/rsna-2024", "kernel_id": "60225480"}, {"ref": "llleeeoooh/rsna-2024-mini-dataset", "kernel_id": "60715204"}, {"ref": "anjalisingh065/rsna-imaging", "kernel_id": "60323954"}, {"ref": "szymnq/rsna-2024-lumbar-spine-degenerative-classification", "kernel_id": "60426139"}, {"ref": "levinguyen02/rsna2024-lsdc-training-densenet", "kernel_id": "60483548"}, {"ref": "vesel02/rsna2024-lsdc", "kernel_id": "60344831"}, {"ref": "wuzhangming/rsna-densenet161-submission", "kernel_id": "60940122"}, {"ref": "fiestyautomaton/3dconvolution", "kernel_id": "60337861"}, {"ref": "hilalalpak/predictive-modelling-for-lumbar-spine-radiology", "kernel_id": "60600719"}, {"ref": "sebastianpoma/notebookd7d6065e77", "kernel_id": "60726450"}, {"ref": "sebastianpoma/rsna-efficientnet-starter-notebook", "kernel_id": "60873076"}, {"ref": "tgibbons/rsna-training-with-10-slices", "kernel_id": "61126600"}, {"ref": "dschettler8845/isic-detect-skin-cancer-let-s-learn-together", "kernel_id": "61238145"}, {"ref": "vsahin/3d-vit-single-stage-classifier-inference", "kernel_id": "61629674"}, {"ref": "tabassumnova/segmentation-unet-inference-zenodo-spider", "kernel_id": "61423874"}, {"ref": "samu2505/rsna2024-segmentationmasksusing-xy", "kernel_id": "61817771"}, {"ref": "sadidul012/rsna24-analysis-and-kfold-with-study-id", "kernel_id": "61329078"}, {"ref": "sadidul012/rsna24-lsdc-validation-scoring-from-trainset", "kernel_id": "61540077"}, {"ref": "gunesevitan/rsna-2024-lsdc-eda", "kernel_id": "61130242"}, {"ref": "anshumandata/rsna-lumbar-spine-degenaration-classification", "kernel_id": "61794525"}, {"ref": "anshumandata/rsna-keras-inference-starter", "kernel_id": "61616669"}, {"ref": "gorgeous369/monai-test", "kernel_id": "61672449"}, {"ref": "aaradhyaa/spine-degenerative-classification", "kernel_id": "61681612"}, {"ref": "dragonzhang/resnet-submission", "kernel_id": "61323660"}, {"ref": "garykim/glsdc-dataset", "kernel_id": "61249698"}, {"ref": "rahulnakka/deepspine-custom-dataset-preparation-process", "kernel_id": "61429602"}, {"ref": "andrey67/rsna24-script-densenet161-lb-0-59", "kernel_id": "61968393"}, {"ref": "andrey67/rsna24-script-densenet201-lb-0-60", "kernel_id": "61968846"}, {"ref": "andrey67/rsna24-ensemble-lb-0-59", "kernel_id": "61969563"}, {"ref": "aiinradiology/cross-reference-images-in-different-mri-planes", "kernel_id": "61565405"}, {"ref": "followjohn/rsna2024-check-incorrectly-labeled-data", "kernel_id": "61500053"}, {"ref": "hackspyder/advanced-visualization-spine-images", "kernel_id": "61880251"}, {"ref": "junseonglee11/rsna2024-lsdc-making-dataset-multiprocessing", "kernel_id": "61854943"}, {"ref": "sacuscreed/foraminal-cnn-raw-train", "kernel_id": "61841349"}, {"ref": "golowper/finetune-lsdc-clip", "kernel_id": "61500064"}, {"ref": "glipko/rsna-meta-data-extraction", "kernel_id": "61839062"}, {"ref": "junglebeastds/process-metadata", "kernel_id": "61923161"}, {"ref": "takashimanaoya/inference-rsna2024", "kernel_id": "61815020"}, {"ref": "soyabulislamlincoln/rsna-2024-basic-test-train-dataframe-exploration", "kernel_id": "61550353"}, {"ref": "michaelmoshui/rsna2024-image-creation", "kernel_id": "61695159"}, {"ref": "def0017/rsna-2024-train", "kernel_id": "61367589"}, {"ref": "vesel02/rsna2024-v2-1", "kernel_id": "61941663"}, {"ref": "poungpoung2/rsna-2024-my-notebook", "kernel_id": "61372226"}, {"ref": "jwenzz1/rsna7-13", "kernel_id": "61880736"}, {"ref": "tawfikahmedabdoqeran/notebook2e52678917", "kernel_id": "61850437"}, {"ref": "wuhugugu/resnet32ts-ra2-in1k", "kernel_id": "61757181"}, {"ref": "toyakki/rsna24-eda-preprocess", "kernel_id": "61875633"}, {"ref": "rboling/rsna-2024-lumbar-spine-submission-v1", "kernel_id": "62904033"}, {"ref": "junkoda/optimize-the-evaluation-metric", "kernel_id": "62993830"}, {"ref": "coderrkj/lumbar-competition-debugging-notebook", "kernel_id": "62435564"}, {"ref": "christofhenkel/weights-rsna24-cfg-ch-1i9", "kernel_id": "62660465"}, {"ref": "mroytman/t2stir-3d-submission", "kernel_id": "62916357"}, {"ref": "dilekcelik/dc-rsna-working-with-dicom-file", "kernel_id": "62338396"}, {"ref": "garykim/glsdc-vit-train", "kernel_id": "62460853"}, {"ref": "lawliet314/glsdc-resnet-submission", "kernel_id": "62907272"}, {"ref": "lawliet314/glsdc-resnet-train", "kernel_id": "62902883"}, {"ref": "rosuluc/rsna-inference", "kernel_id": "62700190"}, {"ref": "hieunguyendq/rsna-making-dataset-png", "kernel_id": "62172679"}, {"ref": "hyunseongyang/besties-rsna-notebook-mean-test-sub", "kernel_id": "62689077"}, {"ref": "hyunseongyang/besties-rsna-notebook-efficientnet-quick-ver", "kernel_id": "62650668"}, {"ref": "daniellopezmontiel/rsna2024-sandbox", "kernel_id": "62770780"}, {"ref": "shota395/convert-to-gif-animation", "kernel_id": "62866997"}, {"ref": "sacuscreed/rsna-private-submission-v2", "kernel_id": "62989345"}, {"ref": "sacuscreed/rsna-submission", "kernel_id": "62582302"}, {"ref": "sacuscreed/understanding-the-metric", "kernel_id": "62441850"}, {"ref": "sacuscreed/foraminal-unet-vit-train", "kernel_id": "62159692"}, {"ref": "skylarwidman/fork-of-cs7643-final-nb", "kernel_id": "62467174"}, {"ref": "babydriver1233/asnr-on-lumbar-spine-degenerative-conditions", "kernel_id": "62061712"}, {"ref": "yaramzaien/notebook", "kernel_id": "62651101"}, {"ref": "kyotaroh/convert-dicom-series-into-a-nifti-file", "kernel_id": "62218962"}, {"ref": "usmanhanant/rsna2024-lsdc-training-baseline", "kernel_id": "62204596"}, {"ref": "llllhhhk/rsna2024-lsdc-submission-baseline", "kernel_id": "62257980"}, {"ref": "peeranutmekwisit/notebook761c845980", "kernel_id": "62404394"}, {"ref": "bmejspark/lsdc-training-baseline", "kernel_id": "62014649"}, {"ref": "glipko/rsna-1-trial-dataset", "kernel_id": "62130224"}, {"ref": "glipko/rsna-trial-1-inference", "kernel_id": "62626200"}, {"ref": "glipko/rsna-trial-1-training", "kernel_id": "62474809"}, {"ref": "tanwencong00/rsna-2024-lumbar-spine-inference-notebook", "kernel_id": "62883139"}, {"ref": "korff16/merged-notebook-2-5d-2d-cnns-0-52-public-lb", "kernel_id": "62284476"}, {"ref": "adamjpc/rsna2024-lsdc-training-baseline", "kernel_id": "62369790"}, {"ref": "pfgkazundo/rsna-diagnosis-pfgk", "kernel_id": "62354761"}, {"ref": "hermitmb/rsna2024sub", "kernel_id": "62450054"}, {"ref": "vdevpar/lumbar-spine-research-project-create-dataset", "kernel_id": "62496394"}, {"ref": "ajpath/rsna-inference", "kernel_id": "62728174"}, {"ref": "miuunno/rsna-training", "kernel_id": "62123431"}, {"ref": "miuunno/rsna-image-preprocessing1", "kernel_id": "62479880"}, {"ref": "cardata/rsna-24-lumbar-spine-degenerative", "kernel_id": "62684274"}, {"ref": "danielfreirejunior/notebook2c023ead9f", "kernel_id": "62485908"}, {"ref": "helloworld0827/besties-rsna-2024-base-notebook", "kernel_id": "62334042"}, {"ref": "nokujh/besties-rsna-2024-notebook-eda", "kernel_id": "62432817"}, {"ref": "meerabandreddi/first-submission-lumbar-spine", "kernel_id": "62607238"}, {"ref": "toyakki/rsna2024-preprocessing", "kernel_id": "62105229"}, {"ref": "sreejitadattagupta/rsna-baseline", "kernel_id": "62757951"}, {"ref": "sreejitadattagupta/baseline-2", "kernel_id": "62758265"}, {"ref": "ranaofficial/rsna2024", "kernel_id": "62621109"}, {"ref": "biniyamyohannes/2d-convnet-sumbission", "kernel_id": "62855283"}, {"ref": "hengck23/2d-to-3d-projection-for-dicom", "kernel_id": "63023413"}, {"ref": "hengck23/ver-1-demo-workflow-2-stage-approach", "kernel_id": "63209319"}, {"ref": "tgibbons/rsna-training-with-monai", "kernel_id": "63249621"}, {"ref": "vsahin/rsna-2024-dicom-3d-loading", "kernel_id": "63469327"}, {"ref": "boredmgr/rsna-data-prep", "kernel_id": "63136068"}, {"ref": "christianmariothomas/spine-first-thing", "kernel_id": "63204236"}, {"ref": "christianmariothomas/spine", "kernel_id": "63110741"}, {"ref": "theoviel/rsna-lumbar-spine-inf", "kernel_id": "63654883"}, {"ref": "artemtprv/lumbar-rsna-2024-eda-3d-visualization", "kernel_id": "63119697"}, {"ref": "kmat2019/keras215", "kernel_id": "63392149"}, {"ref": "yujiariyasu/axial-level-estimation", "kernel_id": "63719737"}, {"ref": "lishaoyu/dummy-submit", "kernel_id": "63488603"}, {"ref": "oscarrangel/class-imbalances", "kernel_id": "63363026"}, {"ref": "nartaa/rsna24-train-images-code", "kernel_id": "63663935"}, {"ref": "tanmayn/swin-transfromers-submission-v1-1", "kernel_id": "63354873"}, {"ref": "brendanartley/lumbar-coordinate-dataset-code", "kernel_id": "63517316"}, {"ref": "wadakoki/meta-generation", "kernel_id": "63396756"}, {"ref": "ceng49/84-accuracy-in-spine-classification-using-cnn", "kernel_id": "63027945"}, {"ref": "ceng49/cleaned-code-rsna-2024", "kernel_id": "63389936"}, {"ref": "hyunseongyang/besties-rsna-notebook-training3", "kernel_id": "63444865"}, {"ref": "hyunseongyang/besties-rsna-notebook-submission", "kernel_id": "63003100"}, {"ref": "hyunseongyang/besties-rsna-notebook-training", "kernel_id": "63132143"}, {"ref": "hyunseongyang/besties-rsna-notebook-training2", "kernel_id": "63394450"}, {"ref": "ranamudassarrasool/rsna-lumbar-spine-degenerative", "kernel_id": "63634203"}, {"ref": "shaumilmalguri/lumber-spine-generation-v1-1", "kernel_id": "63240552"}, {"ref": "zuydang/rsna2024-training", "kernel_id": "63850712"}, {"ref": "motono0223/timm-models-information", "kernel_id": "63489611"}, {"ref": "guilhermelevi/rsna-lsdc-disc-detection-baseline-faster-r-cnn", "kernel_id": "63424614"}, {"ref": "byunghyunkim/rsna-2024-eda", "kernel_id": "63315389"}, {"ref": "rohitchaudhari25/rsna-lsdc-2024-submission-debug", "kernel_id": "63034166"}, {"ref": "michaelfei/classifier", "kernel_id": "63446159"}, {"ref": "zlximon/rsna2024-training2-5dmodel", "kernel_id": "63844160"}, {"ref": "syednazmussakib/rsna-getting-started-load-and-preprocess-data", "kernel_id": "63054063"}, {"ref": "ayatnoor1/2d-segmentation-of-sagittal-lumbar-spine-mri", "kernel_id": "63372439"}, {"ref": "wanyanwendi/rsna2024", "kernel_id": "63286982"}, {"ref": "llleeeoooh/how-to-figure-out-sagittal-image-direction", "kernel_id": "63341567"}, {"ref": "joehoward1/bon-jour", "kernel_id": "63429150"}, {"ref": "mariammahmoudhafez/rsna-lumbar-spine-analysis", "kernel_id": "63300028"}, {"ref": "akmdgreat/kaggle-2024-spine-classification", "kernel_id": "63335373"}, {"ref": "hengck23/shape-alignment", "kernel_id": "64533197"}, {"ref": "hengck23/ver-2-demo-workflow-2-stage-approach", "kernel_id": "64165351"}, {"ref": "xmnlab/anatomy-image-visualization-overview-rsna-raids", "kernel_id": "64518793"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-07o-locax", "kernel_id": "64578566"}, {"ref": "sumaniitm/suman-submission-v2", "kernel_id": "64511273"}, {"ref": "namgalielei/lsdc-gen-yolo-data-ss", "kernel_id": "64386062"}, {"ref": "namgalielei/lsdc-train-yolo-ss", "kernel_id": "64388933"}, {"ref": "namgalielei/lsdc-gen-yolo-data-nfn", "kernel_id": "64390385"}, {"ref": "namgalielei/lsdc-train-yolo-nfn", "kernel_id": "64390902"}, {"ref": "namgalielei/lsdc-train-yolo-scs", "kernel_id": "64375640"}, {"ref": "namgalielei/lsdc-gen-yolo-data-scs", "kernel_id": "64375125"}, {"ref": "namgalielei/lsdc-fold-split", "kernel_id": "64329172"}, {"ref": "namgalielei/lsdc-get-all-images", "kernel_id": "64168117"}, {"ref": "sidharthserjy/spine-degenerative-rsna-study", "kernel_id": "64374110"}, {"ref": "ryuodan/rsna-2024-lumbar-spine-pytorch", "kernel_id": "64188811"}, {"ref": "claverru/automatic-spine-cord-segmentation-sam-2", "kernel_id": "64264161"}, {"ref": "wajahat1064/lumbar-spine-disc-disease-prediction-0-56", "kernel_id": "64977395"}, {"ref": "wajahat1064/rsna-lumbar-spine-prediction-score-0-57", "kernel_id": "64587254"}, {"ref": "yujiariyasu/rsna-2024-sagittal-models-v1", "kernel_id": "64325228"}, {"ref": "yujiariyasu/rsna-2024-axial-models-v1", "kernel_id": "64245570"}, {"ref": "hideyukizushi/rsna-inf-swinv2-base-x384-42ch-lb-54", "kernel_id": "64557840"}, {"ref": "kjshah/kru-rsna-notebook-custom-efficientnet", "kernel_id": "64110350"}, {"ref": "johnsonhk88/lumbar-spine-degenerative-classifiction-dl", "kernel_id": "64058398"}, {"ref": "rahulnakka/lumbar-vertebrae-segmentation-using-spider-datset", "kernel_id": "64043979"}, {"ref": "rahulnakka/submissionrsna2024", "kernel_id": "64323576"}, {"ref": "tanmayn/mobilenet-submission", "kernel_id": "64034859"}, {"ref": "coopermini/spine-mri-analysis", "kernel_id": "64898549"}, {"ref": "ivansivkovenin/rsna-data-analysis", "kernel_id": "64437526"}, {"ref": "sacuscreed/axial-levels", "kernel_id": "64379706"}, {"ref": "sacuscreed/getting-true-axial-levels", "kernel_id": "64776065"}, {"ref": "s00980/rsna-lumbar-spine-degenerative-classification", "kernel_id": "64049647"}, {"ref": "fmgsf12/unet-1channel-submission-revised", "kernel_id": "64919217"}, {"ref": "fmgsf12/dummysubmission", "kernel_id": "64763696"}, {"ref": "jaesolshin/rsna-efficientnet-simple-multilabel-version", "kernel_id": "64897973"}, {"ref": "ardhanabdillah/rsna-anatomy", "kernel_id": "64472113"}, {"ref": "loukilons/rsna-2024-data-summary", "kernel_id": "64887853"}, {"ref": "takashimanaoya/hydra-core", "kernel_id": "64942566"}, {"ref": "takashimanaoya/train-lightning-hydra-baseline", "kernel_id": "64949007"}, {"ref": "muenlmd11/lumbar-coordinate-dataset-code", "kernel_id": "64533519"}, {"ref": "muenlmd11/rsna-2024-central-stenosis-test", "kernel_id": "64313919"}, {"ref": "abhijitm123/anatomy-image-visualization-overview-rsna-raids", "kernel_id": "64250158"}, {"ref": "mohammedsibrahim/rsna-2024-lumber-spine-classification", "kernel_id": "64563846"}, {"ref": "redsleepingpanda/rsna2024-eda-vis", "kernel_id": "64961759"}, {"ref": "feiwenxuan/rsna2024", "kernel_id": "64493766"}, {"ref": "cardata/esna-24-lumbar-spine-degenerative", "kernel_id": "64616037"}, {"ref": "cardata/rsna-24-lumbar-spine-degenerative-lysis", "kernel_id": "64865321"}, {"ref": "chiyoungshin/data-analysis-rsna-2024-lsdc-cyshin971", "kernel_id": "64990957"}, {"ref": "nancylxiao/rsna-2024-lumbar-spine-degenerative-classification", "kernel_id": "64235224"}, {"ref": "aditipai04/lumbar-coordinate-dataset-code", "kernel_id": "64254682"}, {"ref": "fumstk/rsna2024-lsdc-training-baseline", "kernel_id": "64118551"}, {"ref": "thiyasara/lumbar-spine-analysis-1", "kernel_id": "64261545"}, {"ref": "thiyasara/notebook9bf562fa1a", "kernel_id": "64259535"}, {"ref": "thiyasara/lumbar-spine-classification-analysis", "kernel_id": "64345763"}, {"ref": "theexaltedone/16-axialleveldetect", "kernel_id": "64960338"}, {"ref": "alyyang001/rsna-cnn", "kernel_id": "64217582"}, {"ref": "samanton/rsna-2024-exploring-datase", "kernel_id": "64592403"}, {"ref": "marwanashref/rsna-lumbar-spine-prediction", "kernel_id": "64616602"}, {"ref": "thevindutvithanage/resnet-and-sasnet", "kernel_id": "64768638"}, {"ref": "thevindutvithanage/lumber-spine-classification", "kernel_id": "64751160"}, {"ref": "drqingyang/inference-rsna2024-normalize-change", "kernel_id": "64974525"}, {"ref": "hengck23/ver-1-magic-single-stage-model", "kernel_id": "65554561"}, {"ref": "hengck23/ver-2-more-magic-single-stage-model", "kernel_id": "65976269"}, {"ref": "hengck23/place-multi-series-level-prediction-for-axial-t2", "kernel_id": "65791388"}, {"ref": "ismuhammadali/rsna-24-eda-team-lbp", "kernel_id": "65574824"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-19a", "kernel_id": "65600824"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-15c", "kernel_id": "65394706"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-14p2-locsag", "kernel_id": "65228700"}, {"ref": "lihaoweicvch/ver1-simple-1-stage", "kernel_id": "65999549"}, {"ref": "namgalielei/lsdc-yolo-approach", "kernel_id": "65515444"}, {"ref": "christofhenkel/weights-rsna24-cfg-ch-15e-ax-v1", "kernel_id": "65013580"}, {"ref": "christofhenkel/weights-rsna24-cfg-ch-stg1-sagt1t2-2b", "kernel_id": "65013938"}, {"ref": "christofhenkel/weights-rsna24-cfg-ch-35", "kernel_id": "65014138"}, {"ref": "ryuodan/rsna-2024-lumbar-spine-pytorch-submission", "kernel_id": "65450530"}, {"ref": "sonujha090/rsna-2024-data-preproces", "kernel_id": "65072471"}, {"ref": "vsahin/3d-single-stage-classifier-training", "kernel_id": "65836145"}, {"ref": "tabassumnova/rsna2024-approach-using-segmentation-step-01", "kernel_id": "65690176"}, {"ref": "tabassumnova/rsna2024-approach-using-segmentation-step-03", "kernel_id": "65716741"}, {"ref": "theoviel/rsna-lumbar-spine-ens", "kernel_id": "65474651"}, {"ref": "ahmedhisham73/data-understanding", "kernel_id": "65454669"}, {"ref": "sugupoko/try-ct2sagtial-cyclegan", "kernel_id": "65488489"}, {"ref": "barteksadlej123/2-5d-efficient-net-lstm-model-training", "kernel_id": "65381875"}, {"ref": "wajahat1064/lumbar-spine-prediction-using-ensembling-0-48", "kernel_id": "65701641"}, {"ref": "prmsregmi/efficientnet-three-models", "kernel_id": "65857669"}, {"ref": "yujiariyasu/notebookfa5fb155d5", "kernel_id": "65705965"}, {"ref": "taikimori/lb0-55-inference-by-tempature0-9-rsna2024", "kernel_id": "65579859"}, {"ref": "nartaa/rsna24-starter-tf", "kernel_id": "65469420"}, {"ref": "khosiyatsabirova/rsna2024-model-base", "kernel_id": "65113305"}, {"ref": "rahulnakka/notebook5046f7a019", "kernel_id": "65205968"}, {"ref": "arindamroy23/yolo-t2-level-data", "kernel_id": "65716492"}, {"ref": "arindamroy23/yolo-training-explanation", "kernel_id": "65521375"}, {"ref": "coopermini/sagittal-t2-vertebrate-segmentation", "kernel_id": "65033406"}, {"ref": "tanakatentyo/rsna2024-accurate-multilabelstratifiedkfold", "kernel_id": "65763155"}, {"ref": "wadakoki/extended-train-label-coordinates-generation", "kernel_id": "65436648"}, {"ref": "stefbp/stefan-rsna-loadimage", "kernel_id": "65611626"}, {"ref": "hulkkk/mask-data", "kernel_id": "65564531"}, {"ref": "dnyaneshwalwadkar/rsna-data-explanation-visualisation", "kernel_id": "65946164"}, {"ref": "samanthahassal/lower-back-stenosis-predictions", "kernel_id": "65060905"}, {"ref": "weihsianglin111/nointernet4rsna2024", "kernel_id": "65208112"}, {"ref": "pauljef/ch1-understanding-and-data-analysis", "kernel_id": "65049836"}, {"ref": "usmanhanant/rsna2024-lsdc-training-baseline-ec2f17", "kernel_id": "65533246"}, {"ref": "arturotomortiz/rsna-comp", "kernel_id": "65788364"}, {"ref": "thalishumbertdroz/3d-cnn", "kernel_id": "65290700"}, {"ref": "esabellechen/rnsa2024-severitytrain-spinal-sagittal-t2-stir", "kernel_id": "65897755"}, {"ref": "esabellechen/rnsa2024-unet-subarticular-axial-t2-plane-train", "kernel_id": "65953648"}, {"ref": "materwelon/lumber-coordinate-rsna", "kernel_id": "65220022"}, {"ref": "piquenopadawan/randomsubdaniel", "kernel_id": "65688457"}, {"ref": "evanparra/spinefusion-an-efficientnet-vit-ensemble-for-rsna", "kernel_id": "65507715"}, {"ref": "paridhiumang/rsna-cnn", "kernel_id": "65560298"}, {"ref": "enricomanosperti/rsna-2024-lumbar-spine-degenerative-classification", "kernel_id": "65013759"}, {"ref": "athrunzala/try-load-all-study", "kernel_id": "65020503"}, {"ref": "mansoorahmad4477/rsna-lumbar-spine-prediction", "kernel_id": "65496304"}, {"ref": "reyannedif/notebook7cd6cd455c", "kernel_id": "65008943"}, {"ref": "prtm1908/notebook5a337c47c0", "kernel_id": "65694030"}, {"ref": "he163767huynq/visualizing-eda", "kernel_id": "65935656"}, {"ref": "samiraalipour/rsna-eda-visualization", "kernel_id": "65760032"}, {"ref": "raidenb/rsna-2024-lsdc", "kernel_id": "65580410"}, {"ref": "niteshagarwala/rsna-ensemble-of-solutions-lb-0-48", "kernel_id": "65810744"}, {"ref": "wangapa106g/cnn-lumbar-desease-diag", "kernel_id": "65958695"}, {"ref": "def0017/rsna-2024-inferences", "kernel_id": "65849281"}, {"ref": "i2nfinit3y/mmdetection-convnext-cascadercn-inference", "kernel_id": "65854644"}, {"ref": "i2nfinit3y/mmdetection-convnext-cascadercn-ss-train", "kernel_id": "65807858"}, {"ref": "i2nfinit3y/mmdetection-convnext-cascadercn-scs-train", "kernel_id": "65790209"}, {"ref": "i2nfinit3y/mmdetection-convnext-cascadercn-nfn-train", "kernel_id": "65833994"}, {"ref": "nextnlp/point-detect", "kernel_id": "65590433"}, {"ref": "nextnlp/demo-detect", "kernel_id": "65062790"}, {"ref": "ajpath/lsdcdino-idea", "kernel_id": "65321676"}, {"ref": "h202201/deepspine-custom-dataset-preparation-process", "kernel_id": "65280468"}, {"ref": "rhubainmageswaran/lumbar-spine-rsna-03-keras", "kernel_id": "65484301"}, {"ref": "danielfreirejunior/lsdc-yolo-approach", "kernel_id": "65700531"}, {"ref": "bharatraghavan03/rsna2024-inference-nb", "kernel_id": "65815602"}, {"ref": "huavoyager/rsna-ensemble-of-solutions-lb-0-51", "kernel_id": "65643841"}, {"ref": "lamp1979/rsna2024-scs-model-b", "kernel_id": "65076355"}, {"ref": "hennkar/rsna-2024-recovered", "kernel_id": "65165394"}, {"ref": "gramath/rsna-lumbar-spine-comp", "kernel_id": "65138572"}, {"ref": "vishalyginny/rsna-classification", "kernel_id": "65063359"}, {"ref": "hasansaifuddin/rsna-lumber-spine", "kernel_id": "65821354"}, {"ref": "grejeson/lsdc-gen-yolo-data-scs-eda", "kernel_id": "65798669"}, {"ref": "johnlemiuunno/rsna-1", "kernel_id": "65391228"}, {"ref": "johnlemiuunno/rsna-image-processing", "kernel_id": "65811139"}, {"ref": "aristotlechen/rsna-2024-submission-3d", "kernel_id": "65698286"}, {"ref": "swandipsingha/edgenext-base-score-0-84", "kernel_id": "65404044"}, {"ref": "swandipsingha/rsna-cnn-details-explanation", "kernel_id": "65533160"}, {"ref": "swandipsingha/randomforest-score-1-00", "kernel_id": "65232968"}, {"ref": "janmathijs/predicting-subarticular-stenosis", "kernel_id": "65728736"}, {"ref": "hehao111/rsna24-starter-tf", "kernel_id": "65508895"}, {"ref": "hehao111/rsna-efficientnet-starter-notebook", "kernel_id": "65129051"}, {"ref": "lukaswong/lucas-wong-rsna2024-lsdc-training-baseline", "kernel_id": "65316962"}, {"ref": "hengck23/ver-0-nonmax-supression-for-multi-point-detector", "kernel_id": "66416567"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-14s10a-locsag", "kernel_id": "66994210"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-29a2", "kernel_id": "66994458"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-29g", "kernel_id": "66994505"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-05b5-loc", "kernel_id": "66995149"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-14p2-locsag-2", "kernel_id": "66996517"}, {"ref": "darraghdog/weights-rsna24-cfg-dh-12y8", "kernel_id": "66757059"}, {"ref": "mnk812/20240919-make-t2-img", "kernel_id": "66016677"}, {"ref": "waritboonmasiri/3d-single-stage-model-training", "kernel_id": "66603783"}, {"ref": "vsahin/3d-vit-classification-performance-analysis", "kernel_id": "66029319"}, {"ref": "christianmariothomas/spine-957b6d", "kernel_id": "66648038"}, {"ref": "quan0095/rsna-2024-ensemble", "kernel_id": "66702874"}, {"ref": "dedquoc/rsna-2024-simple-cnn-training", "kernel_id": "66487161"}, {"ref": "enzowalter/rsna-lumbar-pipeline", "kernel_id": "66810350"}, {"ref": "hulkkk/lsdc-get-all-images", "kernel_id": "66481139"}, {"ref": "hulkkk/lsdc-gen-yolo-data-ss", "kernel_id": "66417444"}, {"ref": "hulkkk/lsdc-train-yolo-ss", "kernel_id": "66156917"}, {"ref": "awxlong/onevsall-mri-classification-training", "kernel_id": "66836574"}, {"ref": "hoon0303/rsna-cnn-details-explanation", "kernel_id": "66394621"}, {"ref": "dnyaneshwalwadkar/predict-coordinates-with-uncertanity-rsna", "kernel_id": "66341074"}, {"ref": "sacuscreed/level-side-dicom-assignment", "kernel_id": "66327695"}, {"ref": "anaellezanella/test-encore", "kernel_id": "66088595"}, {"ref": "raichucy/rsna-ensemble-of-solutions", "kernel_id": "66302806"}, {"ref": "tylerdurden73/rsna-lsdc-pytorch-dataset", "kernel_id": "66233551"}, {"ref": "tylerdurden73/rsna-lsdc-yolov8-dataset", "kernel_id": "66344969"}, {"ref": "vibhojoshi/rsna-2024-lumbar-spine-prediction", "kernel_id": "66347198"}, {"ref": "esabellechen/rnsa2024-unet-spinal-sagittal-t2-stir-train", "kernel_id": "66710354"}, {"ref": "esabellechen/rnsa2024-unet-resnet-mobile", "kernel_id": "66434573"}, {"ref": "esabellechen/rnsa2024-unet-neural-sagittal-t1-plane-train", "kernel_id": "66004959"}, {"ref": "esabellechen/rnsa2024-severitytrain-subarticular-axial-t2", "kernel_id": "66361129"}, {"ref": "esabellechen/rsna2040-spinal-unet-sagittal-t2-stir-plane-visual", "kernel_id": "66742755"}, {"ref": "esabellechen/rnsa2024-unet-neural-sagittal-t1-plane-visual", "kernel_id": "66745591"}, {"ref": "esabellechen/rnsa2024-unet-subarticula-axial-t2-plane-visual", "kernel_id": "66744524"}, {"ref": "serhiimosiiash/notebook06a6c044f4", "kernel_id": "66626856"}, {"ref": "pavandheeraj/rsnv-classification", "kernel_id": "66384247"}, {"ref": "vivmac12/major-p-v3", "kernel_id": "66208817"}, {"ref": "okra77/rsna-densenet-notebook", "kernel_id": "66419240"}, {"ref": "offwitt0/rsna-lumbar-spine-challenge", "kernel_id": "66803688"}, {"ref": "bhanupratapbiswas/rsna-2024-lumbar-spine-degenerative-classification", "kernel_id": "66025363"}, {"ref": "parkjunmoa/rsna2024-vit-approach", "kernel_id": "66765234"}, {"ref": "parkjunmoa/rsna-2024-ensemble", "kernel_id": "66766555"}, {"ref": "vaidehi14/rsna-anatomy-dataset-overview", "kernel_id": "66410406"}, {"ref": "ajpath/axial-v2", "kernel_id": "66414661"}, {"ref": "h202201/submission", "kernel_id": "66323330"}, {"ref": "sheemamasood/lumbarspine-rsna2024-submission-effnet", "kernel_id": "66319108"}, {"ref": "sheemamasood/rsna2024-lumber-spine-efficientnet", "kernel_id": "66614208"}, {"ref": "sheemamasood/lumbarspine-rsna2024-submission-vgg", "kernel_id": "66665903"}, {"ref": "hareeeshhh/spine", "kernel_id": "66465646"}, {"ref": "andreagobbez/rsna-2024-lumbar-spine-degenerative-classification", "kernel_id": "66715070"}, {"ref": "senthanselvi/spine", "kernel_id": "66647558"}, {"ref": "mahabualahiatik/trifusionnet3", "kernel_id": "66468501"}, {"ref": "muhammaddawood42/rsna-lumbar-spine-degenerative-classification", "kernel_id": "66219567"}, {"ref": "muhammaddawood42/lsdc-yolo-approach", "kernel_id": "66186597"}, {"ref": "shangxingyu/rsna-2024-lumbar-spine-pytorch-submission", "kernel_id": "66589854"}, {"ref": "shangxingyu/test-encore-e5d27d", "kernel_id": "66630952"}, {"ref": "shangxingyu/mmdetection-convnext-cascadercn-inference", "kernel_id": "66630974"}, {"ref": "shangxingyu/lb0-55-inference-by-tempature0-9-rsna2024", "kernel_id": "66630986"}, {"ref": "shangxingyu/rsna-2024-lumbar-spine-prediction", "kernel_id": "66598770"}, {"ref": "aristotlechen/unzip-rsna-2024-submission-3d", "kernel_id": "66331331"}, {"ref": "seddikbenkerrouche/rsna-efficientnet-starter-notebook", "kernel_id": "66913143"}, {"ref": "linheshen/rsna-ensemble-of-solutions-cef392-67722e", "kernel_id": "66633987"}, {"ref": "netanelulitszky/spinecnn", "kernel_id": "66718714"}, {"ref": "drlearning/rsna-ensemble-of-solutions-lb-0-48", "kernel_id": "66063180"}, {"ref": "hehao111/rsna-ensemble-of-solutions-agreesive-sharpen", "kernel_id": "66881881"}, {"ref": "harishr25112004/spine", "kernel_id": "66648110"}, {"ref": "hengck23/post-lhw-v24-ensemble-add-heng", "kernel_id": "67227748"}, {"ref": "hengck23/clean-final-submit02-scs-nfn-ensemble", "kernel_id": "67209255"}, {"ref": "hengck23/lhw-v24-ensemble-add-heng", "kernel_id": "67050143"}, {"ref": "hengck23/fork-of-clean-final-submit02-scs-nfn-ensemble", "kernel_id": "67574382"}, {"ref": "ren4yu/rsna2024-ensemble-submission-stacking-tattakav2", "kernel_id": "67138244"}, {"ref": "ambisinistra/points-for-crossreference", "kernel_id": "67146484"}, {"ref": "tattaka/rsna2024-stacking-nfn", "kernel_id": "67124363"}, {"ref": "tattaka/rsna2024-stacking", "kernel_id": "67024826"}, {"ref": "tobimichigan/kaggle-rsna-vgg-19-2", "kernel_id": "67038386"}, {"ref": "tobimichigan/kaggle-rsna-vgg-19-public", "kernel_id": "67037951"}, {"ref": "tobimichigan/custom-cnn-for-rsna-24-classification-ii", "kernel_id": "67048200"}, {"ref": "kmat2019/rsna8th-inference", "kernel_id": "67459150"}, {"ref": "yujiariyasu/dcm-to-png", "kernel_id": "67321629"}, {"ref": "yujiariyasu/rsna-2024-reduce-noise-models", "kernel_id": "67076265"}, {"ref": "yujiariyasu/rsna-2024-reduce-noise-models-v2", "kernel_id": "67124998"}, {"ref": "yujiariyasu/rsna-lumbar-spine-2nd-place-solution", "kernel_id": "67949136"}, {"ref": "hideyukizushi/rsna-yolo11x-colab-b-500-501-502-lb-48", "kernel_id": "67192482"}, {"ref": "rasoulmojtahedzadeh/siamese-inference-axial-t2", "kernel_id": "67314241"}, {"ref": "coopermini/attention-based-feature-extractor", "kernel_id": "67050940"}, {"ref": "ahmedelfazouan/rsna-inference", "kernel_id": "67222848"}, {"ref": "manojarulmurugan/ensemble-ldsc-yolo-3d-vit", "kernel_id": "67034472"}, {"ref": "adamnarai/rsna2024-two-stage-split-global-3-base", "kernel_id": "67062413"}, {"ref": "sacuscreed/cv-splits", "kernel_id": "67225438"}, {"ref": "sacuscreed/axial-t2-spinal-prediction-5", "kernel_id": "67195507"}, {"ref": "sacuscreed/axial-t2-spinal-prediction-1-4", "kernel_id": "67195080"}, {"ref": "sacuscreed/axial-t2-axial-side-segmentation", "kernel_id": "67169970"}, {"ref": "sacuscreed/sagittal-t2-spine-discriminator", "kernel_id": "67169581"}, {"ref": "sacuscreed/sagittal-t2-spinal-prediction", "kernel_id": "67169647"}, {"ref": "sacuscreed/sagittal-t2-sagittal-level-segmentation", "kernel_id": "67169492"}, {"ref": "sacuscreed/sagittal-t1-axial-side-segmentation", "kernel_id": "67169410"}, {"ref": "sacuscreed/sagittal-t1-foramina-discriminator", "kernel_id": "67169187"}, {"ref": "sacuscreed/sagittal-t1-foraminal-prediction", "kernel_id": "67169262"}, {"ref": "sacuscreed/sagittal-t1-direction-training", "kernel_id": "67169365"}, {"ref": "sacuscreed/axial-t2-subarticular-prediction", "kernel_id": "67169776"}, {"ref": "sacuscreed/old-axial-t2-axial-side-segmentation", "kernel_id": "67169875"}, {"ref": "sacuscreed/sagittal-t1-sagittal-level-segmentation", "kernel_id": "67169086"}, {"ref": "scientistdata06000/submission-try-var", "kernel_id": "67164854"}, {"ref": "maxmelichov/041024-lsdc-public-yolo-approach-prob-hack", "kernel_id": "67049783"}, {"ref": "akankshanarula/ensemble", "kernel_id": "67344692"}, {"ref": "syedalihasnat/notebookrsna", "kernel_id": "67227001"}, {"ref": "switch9527/lsdc-yolov8-predict", "kernel_id": "67133085"}, {"ref": "brysonjameshewins/rsna-ensemble-of-solutions-hewins-trial-submiss", "kernel_id": "67122132"}, {"ref": "chiyoungshin/data-processing-rsna-2024-lsdc", "kernel_id": "67049493"}, {"ref": "paulavn/anatomy-image-visualization-overview-rsna-raids", "kernel_id": "67260063"}, {"ref": "ibtehajali1/pipeline", "kernel_id": "67038928"}, {"ref": "samanton/rsna-2024-final-pipeline", "kernel_id": "67259000"}, {"ref": "ahmedaabdullah/pipeline", "kernel_id": "67280504"}, {"ref": "primus11/spinef", "kernel_id": "67192753"}, {"ref": "pragya05/lumbar-spine-degenerative-classification", "kernel_id": "68398561"}, {"ref": "pragya05/dicom-preprocessing", "kernel_id": "68694023"}, {"ref": "samu2505/geminixradiology", "kernel_id": "68391367"}, {"ref": "danielpopov/rsna-yolo-approch", "kernel_id": "68460436"}, {"ref": "wadakoki/rsna-infer-pipeline-public", "kernel_id": "68918659"}, {"ref": "lordpatil/visualizing-dicom-images", "kernel_id": "68369777"}, {"ref": "borabingol/notebookb580d534e5", "kernel_id": "68679083"}, {"ref": "dinesh010201/ct2sagtial-cyclegan", "kernel_id": "68467275"}, {"ref": "darraghdog/nemo-skills-pip-packages", "kernel_id": "69258479"}, {"ref": "danielpopov/axialt2-yolo-model-rsna-2024", "kernel_id": "69927345"}, {"ref": "danielpopov/sagt2-yolo-model-rsna-2024", "kernel_id": "69917544"}, {"ref": "danielpopov/sagt1-yolo-model-rsna-2024", "kernel_id": "69906226"}, {"ref": "sacuscreed/axial-t2-centers-generation", "kernel_id": "69502522"}, {"ref": "adrianmanchado/anatomy-image-visualization-overview-rsna-raids", "kernel_id": "69941090"}, {"ref": "sowjanya206/lumbar-vertebrae-segmentation-using-spider", "kernel_id": "69664449"}, {"ref": "thienanlnguyen/rsna2024-understanding-an-overfitting-model-stir", "kernel_id": "69629153"}, {"ref": "thienanlnguyen/rsna2024-dicom-to-numpy-stir", "kernel_id": "69627252"}, {"ref": "elijahlu/tcgadownload", "kernel_id": "69642639"}, {"ref": "brysonjameshewins/hewins-trial-rsna-infer-pipeline-public", "kernel_id": "69626185"}, {"ref": "sasidhar2004/lumbar-spine-effnet", "kernel_id": "69399604"}, {"ref": "sasidhar2004/rsna-2024-lumber-spine-efficientnet-v2-s", "kernel_id": "69353324"}, {"ref": "junglebeastds/spinal-stenosis-detection-demo", "kernel_id": "70283252"}, {"ref": "junglebeastds/spinal-stenosis-detection-cv-demo", "kernel_id": "70305462"}, {"ref": "jatinthakur706/lumber-spine", "kernel_id": "70647120"}, {"ref": "therohithanand/rsna-classification", "kernel_id": "70607252"}, {"ref": "masoudshahrian/rsna-cnn-details-explanation", "kernel_id": "70666857"}, {"ref": "masoudshahrian/lumbar-rsna-2024-visualizing-eda-sub", "kernel_id": "70623296"}, {"ref": "masoudshahrian/rsna-2024-lumber-spine-vgg16", "kernel_id": "70892666"}, {"ref": "priyanshughosh123/7th-project", "kernel_id": "70900259"}, {"ref": "pragya05/2-stage-model", "kernel_id": "71748044"}, {"ref": "ayu055/cs-4641-final-project-vgg-16", "kernel_id": "71777807"}, {"ref": "nataliecheong/lumbar-spine-classification", "kernel_id": "71361442"}, {"ref": "paridhiumang/rsna-2024-lumber-spine-efficientnet-v2-s", "kernel_id": "71013357"}, {"ref": "riccardobastiani/lsdc-yolo-approach-trying-to-improve", "kernel_id": "71855558"}, {"ref": "phoenix3126/rsna-2024-simple-cnn-training", "kernel_id": "71015621"}, {"ref": "nirajnamjoshi03/lb-0-51-single-stage-3d-inference-be4668", "kernel_id": "71131674"}, {"ref": "nirajnamjoshi03/lsdc-yolo-approach", "kernel_id": "71055109"}, {"ref": "masoudshahrian/rsna-2024-lumber-spine-mobilenet", "kernel_id": "71880141"}, {"ref": "hareeeshhh/spine-hyper1", "kernel_id": "71811845"}, {"ref": "kazimubin356/densenetmodel", "kernel_id": "71136280"}, {"ref": "borabingol/data-preprocess", "kernel_id": "71925389"}, {"ref": "riccardobastiani/rsna-efficientnet-starter-notebook-riccardo", "kernel_id": "72191587"}, {"ref": "riccardobastiani/rsna-riccardo-efficientnet-l5-s1-try-v1", "kernel_id": "72192022"}, {"ref": "riccardobastiani/rsna-edoardo-riccardo-trying-stuffs", "kernel_id": "72787129"}, {"ref": "thomasdagonneau/20250313-submissionrsnalumbar2024", "kernel_id": "72795545"}, {"ref": "kumudadp/rsna-infer-pipeline-public", "kernel_id": "72742159"}, {"ref": "borabingol/notebookd452b04799", "kernel_id": "72452534"}, {"ref": "borabingol/plz-dont-give-any-error-messages", "kernel_id": "72524034"}, {"ref": "borabingol/unpretrained-plz-dont-give-any-error-messages", "kernel_id": "72530454"}, {"ref": "borabingol/notebook16476d09b7", "kernel_id": "72530085"}, {"ref": "brahimztrk15/notebook84866ce5f0", "kernel_id": "72214482"}, {"ref": "zaruhighazaryan/lumbar-spine-classification", "kernel_id": "72376136"}, {"ref": "riccardobastiani/vit-implementations-on-joao-work", "kernel_id": "73001482"}, {"ref": "riccardobastiani/rsna-joao-standart-approach-fork", "kernel_id": "73037812"}, {"ref": "haiderazam/fork-of-rsna2024-no-mask-submission", "kernel_id": "73485563"}, {"ref": "masoudshahrian/lumber-spine-vgg19", "kernel_id": "73584902"}, {"ref": "borabingol/splitting-notebooks-for-sub", "kernel_id": "73207262"}, {"ref": "borabingol/if-you-work-hard-enough-you-can-replacedepression", "kernel_id": "73220273"}, {"ref": "borabingol/notebook76f2b3f80c", "kernel_id": "73163609"}, {"ref": "borabingol/training-v2", "kernel_id": "73273608"}, {"ref": "borabingol/optimized-submission", "kernel_id": "73266444"}, {"ref": "borabingol/fork-of-fixed-train-with-severe-focused-augmentati", "kernel_id": "73250937"}, {"ref": "borabingol/fixedtrainwithseverefocusedaugmentation-submission", "kernel_id": "73237823"}, {"ref": "borabingol/dont-use-fixed-train-with-severe-focused", "kernel_id": "73236653"}, {"ref": "borabingol/fixed-train", "kernel_id": "73234225"}, {"ref": "borabingol/submission-template", "kernel_id": "73232033"}, {"ref": "brahimztrk15/notebookbe8a4e1bc9", "kernel_id": "73229787"}, {"ref": "brahimztrk15/capsnet", "kernel_id": "73266296"}, {"ref": "brahimztrk15/optimized-submission", "kernel_id": "73275213"}, {"ref": "cagladonmez/proje", "kernel_id": "73149282"}, {"ref": "cagladonmez/notebook3524b9b7f2", "kernel_id": "73223896"}, {"ref": "marinacastro98/anatomy-image-visualization-overview-rsna-raids", "kernel_id": "73318487"}, {"ref": "andreaslutz/lumbar-spine-classification", "kernel_id": "73283494"}, {"ref": "abdullahrs/rsna-2024-v3", "kernel_id": "74291773"}, {"ref": "hamnasattar/anatomy-image-visualization-overview-rsna-raids", "kernel_id": "74375613"}, {"ref": "borabingol/bora-s-agressive-augmentation", "kernel_id": "74415850"}, {"ref": "borabingol/bora-s-with-old-pt-method", "kernel_id": "74414526"}, {"ref": "borabingol/all-model-exp", "kernel_id": "74541472"}, {"ref": "borabingol/exp-sub-12-01", "kernel_id": "74542215"}, {"ref": "borabingol/sub-of-bora-s-agressive-augmentation", "kernel_id": "74548447"}, {"ref": "borabingol/minor-level-augment-03-test-size", "kernel_id": "74772651"}, {"ref": "borabingol/png-for-cagla-pt2-1", "kernel_id": "74293628"}, {"ref": "borabingol/notebook348d1de6fd", "kernel_id": "74304813"}, {"ref": "borabingol/bora-s-solution-with-confusionmatrix", "kernel_id": "74304146"}, {"ref": "borabingol/newsubexp", "kernel_id": "74091440"}, {"ref": "borabingol/submission-v10", "kernel_id": "74092231"}, {"ref": "borabingol/trytosolvesubscoringrsna-resnet-starter-notebook", "kernel_id": "74089766"}, {"ref": "borabingol/sub-with-ibrahim-s-reduced-model-actually-mine", "kernel_id": "74115411"}, {"ref": "borabingol/v2-sub-with-ibrahim-s-reduced-model", "kernel_id": "74117012"}, {"ref": "borabingol/submission-v10-1", "kernel_id": "74117078"}, {"ref": "borabingol/1-21-score-submission-experimental", "kernel_id": "74004755"}, {"ref": "borabingol/notebook6723d2c67f", "kernel_id": "74011510"}, {"ref": "borabingol/new-submission-notebook-i-guess", "kernel_id": "74018214"}, {"ref": "borabingol/notebook54ef92ef0e", "kernel_id": "74046061"}, {"ref": "borabingol/ibo-sub", "kernel_id": "74812243"}, {"ref": "borabingol/minor-level-augment-v2-1", "kernel_id": "74797043"}, {"ref": "borabingol/minor-level-augment-v2", "kernel_id": "74794634"}, {"ref": "brahimztrk15/sagital-t2-deneme", "kernel_id": "74778577"}, {"ref": "brahimztrk15/ibo-sub", "kernel_id": "74779608"}, {"ref": "brahimztrk15/notebook6d2f9406e9", "kernel_id": "74229003"}, {"ref": "brahimztrk15/notebookf8d79eb6c5", "kernel_id": "74243474"}, {"ref": "brahimztrk15/notebook1bc549af0b", "kernel_id": "74236598"}, {"ref": "brahimztrk15/ensoncapsnet2", "kernel_id": "74267906"}, {"ref": "brahimztrk15/normalseviyeyecekme", "kernel_id": "74557976"}, {"ref": "brahimztrk15/enyenicalisma1", "kernel_id": "74553970"}, {"ref": "brahimztrk15/yenicalisma1", "kernel_id": "74490246"}, {"ref": "ercankabaliveribaba/yenioutput-mother", "kernel_id": "74284612"}, {"ref": "ercankabaliveribaba/output-mother", "kernel_id": "74113443"}, {"ref": "ercankabaliveribaba/model", "kernel_id": "74090376"}, {"ref": "cagladonmez/png-for-cagla-pt2", "kernel_id": "74290624"}, {"ref": "cagladonmez/datas-for-yolo", "kernel_id": "74293350"}, {"ref": "ibrahimozturk15/yeni-sub", "kernel_id": "74822403"}, {"ref": "ibrahimozturk15/hiz-azaltma-deneme", "kernel_id": "74827034"}, {"ref": "ibrahimozturk15/normal-mild-azaltma", "kernel_id": "74813117"}, {"ref": "nhanvi/rsna-lsdc-2024-redefine-dataset", "kernel_id": "75298257"}, {"ref": "nhanvi/rsna-lsdc-2024-overview-eda", "kernel_id": "75295844"}, {"ref": "korff16/training-2-5d-convnext", "kernel_id": "75207376"}, {"ref": "masoudshahrian/lumbar-tensorflow", "kernel_id": "75809691"}, {"ref": "nhanvi/rsna-ldsc-2024-training", "kernel_id": "76043156"}, {"ref": "wangapa106g/anatomy-image-visualization-and-predictor", "kernel_id": "76055478"}, {"ref": "masoudshahrian/test-lumbar-with-multi-class", "kernel_id": "76654852"}, {"ref": "masoudshahrian/lumbar-with-decreasing-from-first-class", "kernel_id": "76687957"}, {"ref": "masoudshahrian/rsna-2024-lumbar-spine-degenerative-classification", "kernel_id": "76524358"}, {"ref": "masoudshahrian/lumbar-test", "kernel_id": "76807940"}, {"ref": "harshanr19/data-preprocessing", "kernel_id": "76899748"}, {"ref": "rohitchaudhari25/conf2-visualization-250303", "kernel_id": "77792513"}, {"ref": "yuehenghuang/glm4v", "kernel_id": "77500748"}, {"ref": "masoudshahrian/lumbar-model-for-test", "kernel_id": "77748915"}, {"ref": "masoudshahrian/lumbar-model-for-test-efficientnetb2", "kernel_id": "77752956"}, {"ref": "masoudshahrian/lumbar-model-for-test-vgg16", "kernel_id": "77752273"}, {"ref": "rajuljha/00-data-preparation", "kernel_id": "77945453"}, {"ref": "rajuljha/01-test-train-split", "kernel_id": "77973528"}, {"ref": "darraghdog/wts-qwen2-5-14b-instruct-mix48-rd190325", "kernel_id": "78975113"}, {"ref": "masoudshahrian/lumbar-jpg-eficientnet", "kernel_id": "78464816"}, {"ref": "masoudshahrian/dicom2jpg", "kernel_id": "78197291"}, {"ref": "thomasdagonneau/20250324-mil-nfnmil-submissionrsnalumbar2024", "kernel_id": "79222455"}, {"ref": "vvenkatalakshmi/trial", "kernel_id": "79510375"}, {"ref": "vvenkatalakshmi/resnet101", "kernel_id": "79544321"}, {"ref": "rajuljha/02-train-disc-pred-leftneuralforaminalnarrowing", "kernel_id": "79048823"}, {"ref": "abaidullahkhalid08/convnext-waug-classification", "kernel_id": "79085357"}, {"ref": "borabingol/notebooka4c364baa3", "kernel_id": "80248450"}, {"ref": "borabingol/gan-original-data-model", "kernel_id": "80294587"}, {"ref": "borabingol/gan-generate-minor-class", "kernel_id": "80296295"}, {"ref": "borabingol/sub-cropped-model", "kernel_id": "80204557"}, {"ref": "borabingol/cropped-trained-model", "kernel_id": "80186510"}, {"ref": "subhasreedutta/trial-4-final", "kernel_id": "80491597"}, {"ref": "conleywalters/rsna-ensemble-of-solutions-hewins-walters", "kernel_id": "80540478"}, {"ref": "conleywalters/rsna-final-submission-hewins-walters", "kernel_id": "80541021"}, {"ref": "unmol03/lumbar-spine-disc-detection", "kernel_id": "81083723"}, {"ref": "botrnnguyngia/low-back-pain-detection", "kernel_id": "81054664"}, {"ref": "masoudshahrian/notebook433fda2ea5", "kernel_id": "81794641"}, {"ref": "masoudshahrian/lumbar-efficientnetb1", "kernel_id": "81795123"}, {"ref": "rajuljha/stats-rsna", "kernel_id": "81101677"}, {"ref": "abaidullahkhalid08/stage-2", "kernel_id": "81769414"}, {"ref": "brahimztrk15/yirmibes-s-n-f-calismasi", "kernel_id": "81829815"}, {"ref": "subhasreedutta/project-20", "kernel_id": "81852943"}, {"ref": "mohammadakhavan75/onacademy24-introduction-to-neural-network-boot-co", "kernel_id": "82184234"}, {"ref": "shoose80/rsna-lumbar-spine-analysis", "kernel_id": "82193591"}, {"ref": "masoudshahrian/lumbar-efficientnetb22", "kernel_id": "82075930"}, {"ref": "abaidullahkhalid08/stage-3-ss", "kernel_id": "82345919"}, {"ref": "reeyav/yolo-conditions", "kernel_id": "83324313"}, {"ref": "vishnunandhan/rsna-dataset-eda", "kernel_id": "83473115"}, {"ref": "vishnunandhan/vgg-single-fusion", "kernel_id": "83645289"}, {"ref": "masoudshahrian/rsna-unet", "kernel_id": "83757977"}, {"ref": "reeyav/resnet18-cond", "kernel_id": "84460258"}, {"ref": "anuragsharma21/resnet-augmented", "kernel_id": "84206958"}, {"ref": "vishnunandhan/amir-2folds", "kernel_id": "84639646"}, {"ref": "masoudshahrian/notebookbc230ad208", "kernel_id": "84448103"}, {"ref": "masoudshahrian/rsna-unet-efficientnetb1", "kernel_id": "84448159"}, {"ref": "masoudshahrian/notebook7b0af5709c", "kernel_id": "84551565"}, {"ref": "huymodels/rsna-1st-solution", "kernel_id": "84000638"}, {"ref": "reeyav/creating-folds", "kernel_id": "85606257"}, {"ref": "reeyav/detection-model", "kernel_id": "85042225"}, {"ref": "vishnunandhan/classification-5f-1cond", "kernel_id": "85723301"}, {"ref": "vishnunandhan/classification-resnet", "kernel_id": "85266853"}, {"ref": "brahimztrk15/resnext101-32x8d-training-submission", "kernel_id": "85123233"}, {"ref": "anuragsharma21/mach-1-classification-resnet", "kernel_id": "86129742"}, {"ref": "anuragsharma21/classifi-1con-tune-2-a", "kernel_id": "86886399"}, {"ref": "vishnunandhan/classifi-1con-tune", "kernel_id": "86533056"}, {"ref": "vishnunandhan/classifi-1con-tune-2", "kernel_id": "86818046"}, {"ref": "vishnunandhan/classifi-5f-1con-test", "kernel_id": "86432654"}, {"ref": "mostafaabdollahi/notebook263ea571df", "kernel_id": "87699578"}, {"ref": "vishnunandhan/classifi-1con-balanced-resnet", "kernel_id": "87230353"}, {"ref": "vishnunandhan/classifi-1con-balanced-ce", "kernel_id": "87423841"}, {"ref": "vishnunandhan/csv-xy-cord", "kernel_id": "87879765"}, {"ref": "vishnunandhan/classifi-allcon-balanced-vgg16", "kernel_id": "87949674"}, {"ref": "iftekharalvee/notebook8c29544b22", "kernel_id": "87596779"}, {"ref": "vishnunandhan2/classifi-all-cond-preprint", "kernel_id": "87225589"}, {"ref": "vishnunandhan2/classifi-1con-balanced-vgg", "kernel_id": "87493854"}, {"ref": "vishnunandhan2/classifi-1con-balanced-densenet", "kernel_id": "87707281"}, {"ref": "vishnunandhan2/classifi-all-cond-bal-resnet", "kernel_id": "87717143"}, {"ref": "rbv400/2-stage-classification", "kernel_id": "87486102"}, {"ref": "rbv400/classifi-all-cond-bal-densenet", "kernel_id": "87951950"}, {"ref": "rbv400/classifi-all-cond-bal-xception", "kernel_id": "87995618"}, {"ref": "vishnunandhan/classifi-1con-bal-resnet-neural", "kernel_id": "89333358"}, {"ref": "vishnunandhan/classifi-1con-bal-resnet-spinal", "kernel_id": "89314474"}, {"ref": "vishnunandhan/classifi-1con-bal-vgg16-neural-tuned", "kernel_id": "89548469"}, {"ref": "sasibrucelee/lumbar-spine-degenerative-classification", "kernel_id": "89750706"}, {"ref": "vishnunandhan2/classifi-1con-bal-vgg16-subarticular", "kernel_id": "89548099"}, {"ref": "vishnunandhan2/classifi-1con-bal-vgg16-spinal-tuned", "kernel_id": "89580929"}, {"ref": "vishnunandhan2/classifi-1con-bal-resnet-subarticular", "kernel_id": "89315265"}, {"ref": "vishnunandhan2/classifi-1con-bal-vgg16-subarticular-tuned-tta", "kernel_id": "89849761"}, {"ref": "rbv400/classifi-1con-bal-vgg16-spinal-tuned-tta", "kernel_id": "89759800"}, {"ref": "rbv400/classifi-1con-bal-vgg16-spinal-tuned", "kernel_id": "89548716"}, {"ref": "rbv400/classifi-1con-bal-vgg16-subarticular-tuned", "kernel_id": "89581059"}, {"ref": "mohammadakhavan75/onacademy-boot28", "kernel_id": "90223283"}, {"ref": "trnkimdng/lumbar-coordinate-dataset-code", "kernel_id": "90000197"}, {"ref": "prosenjitmondol/rsna-lumbar-spine-analysis", "kernel_id": "90333921"}, {"ref": "meerab1212/yoloss", "kernel_id": "90344166"}, {"ref": "meerab1212/yolonfn", "kernel_id": "90824960"}, {"ref": "meerab1212/yoloscs", "kernel_id": "90803261"}, {"ref": "chilliest/rsna-lumbar-spine-axial-t2-image-cropping", "kernel_id": "91478517"}, {"ref": "vishnunandhan/rsna-mri-sample", "kernel_id": "91470491"}, {"ref": "trnkimdng/lumbar-coordinate-prediction", "kernel_id": "91726693"}, {"ref": "trnkimdng/stage-2", "kernel_id": "91725338"}, {"ref": "almahmudzaman/yolov10-grad-cam", "kernel_id": "91563656"}, {"ref": "toshihikok/rsna2024-lsdc-training-densenet", "kernel_id": "93874858"}, {"ref": "toshihikok/rsna2024-lsdc-densenet-submission", "kernel_id": "93874867"}, {"ref": "brysonjameshewins/zoe-and-hewins-spine-ai-v1", "kernel_id": "93033998"}, {"ref": "premkadgaonkar/model-cnn", "kernel_id": "93870791"}, {"ref": "harshitjakati/pixel", "kernel_id": "93815430"}, {"ref": "ahmed226/bora-s-agressive-augmentation-gradcam", "kernel_id": "94043053"}, {"ref": "harshitjakati/notebookad5120e999", "kernel_id": "95282404"}, {"ref": "premkadgaonkar/notebook8873c17488", "kernel_id": "97108119"}, {"ref": "haiderazam/rsna2024-lsdc-training-edgenext-crossvalidation", "kernel_id": "99505011"}, {"ref": "premkadgaonkar/merged", "kernel_id": "100233065"}, {"ref": "nirmalgaud/rsna-lumar-spine-classification", "kernel_id": "101855609"}, {"ref": "jrangamar/lumbar-vibe-01", "kernel_id": "101105276"}, {"ref": "rangha05/preprocess-rsna2024", "kernel_id": "102374581"}, {"ref": "prosenjitmondol/download-specific-size", "kernel_id": "103294992"}, {"ref": "unmol03/complete-rsna-scs-pipeline-v1", "kernel_id": "104339189"}, {"ref": "syedalihasnat/mobilenet-mvcnn", "kernel_id": "104762553"}, {"ref": "linhngcnguyn/checkpoint-machine-learning", "kernel_id": "104552761"}, {"ref": "linhngcnguyn/checkpoint-monai", "kernel_id": "104444718"}, {"ref": "linhngcnguyn/rsna2024-test-monai", "kernel_id": "104478358"}, {"ref": "syedalihasnat/mobilenet-mvcn-v22", "kernel_id": "105321614"}, {"ref": "jaisatyagudiwaka/lumbar-classification-20-1-62d3d4f9f2", "kernel_id": "105823817"}, {"ref": "pedamalluumeshgupta/lumbar-classification-20-1", "kernel_id": "105822239"}, {"ref": "dakshsahni567/tamannaa-lumbar-spine", "kernel_id": "105968818"}, {"ref": "reichsrat/lumbar-spine-v1", "kernel_id": "107207156"}, {"ref": "reichsrat/lumbar-spine-v2", "kernel_id": "107781109"}, {"ref": "mouleekkapoor/btproj", "kernel_id": "107635071"}, {"ref": "unmol03/sagittal-t2-spine-discriminator", "kernel_id": "107242027"}, {"ref": "unmol03/scs-final-code", "kernel_id": "107206512"}, {"ref": "unmol03/btech-project", "kernel_id": "107748651"}, {"ref": "jakebekov/lumbar-spine-v3", "kernel_id": "107813711"}, {"ref": "adityaubaliga/ablation-study-4-full", "kernel_id": "108446928"}, {"ref": "unmolbhardwaj/notebook91825ca321", "kernel_id": "108449281"}, {"ref": "mahmoudrobaa/le3ba-v7", "kernel_id": "109177301"}, {"ref": "mahmoudrobaa/le3ba-v6", "kernel_id": "109143923"}, {"ref": "typodev141/code-v2-preprocessing", "kernel_id": "112478190"}, {"ref": "udaypalacholla/spin-scane-ai-project", "kernel_id": "112368935"}, {"ref": "inkspire/notebook04ee4f5950", "kernel_id": "112369461"}, {"ref": "premkadgaonkar/fork-of-merged", "kernel_id": "113669077"}, {"ref": "tahuja/notebook2", "kernel_id": "113811133"}, {"ref": "tahuja/notebook3", "kernel_id": "113857162"}, {"ref": "tahuja/notebook3-re", "kernel_id": "113907911"}, {"ref": "tahuja/notebook-1", "kernel_id": "113632876"}, {"ref": "thang1302/web-demo", "kernel_id": "115349759"}, {"ref": "adebayo22/final-year-project-lss", "kernel_id": "117300780"}, {"ref": "adebayo22/latest-version-lss-classification", "kernel_id": "117725609"}, {"ref": "shivamansari/densenet121-spine-hetbhai", "kernel_id": "119625573"}, {"ref": "riyabaddiepatel/aggregate-parallel-results", "kernel_id": "119438202"}, {"ref": "claraangelita/analisis-kinerja-mekanisme-spatial-attention-pada", "kernel_id": "121834082"}, {"ref": "mehedihasannipu/notebook5973612bac", "kernel_id": "122293671"}, {"ref": "kamrulhasan12/notebook55e6f9b5b7", "kernel_id": "122353208"}, {"ref": "adebayo22/lss-final-project", "kernel_id": "122938505"}, {"ref": "nvp113/notebook908e379b40", "kernel_id": "128686829"}, {"ref": "zohreheram2002/lumbar-base", "kernel_id": "129407851"}, {"ref": "metinmekiabullrahman/notebookadd6ef6867", "kernel_id": "130208726"}, {"ref": "gsamilo/notebookaf10d8d179", "kernel_id": "135900005"}]}
{"competition_id": "71596", "kernels": [{"ref": "karimabdelhalim/machine-failure-competition-team-1", "kernel_id": "51757373"}, {"ref": "sindhurank/machine-failure-prediction-logistic-regression", "kernel_id": "61419910"}, {"ref": "sentienttrapezoid/machine-failure", "kernel_id": "71604956"}, {"ref": "mousumideka4/machine-failure-prediction-regression", "kernel_id": "71498612"}]}
{"competition_id": "71608", "kernels": [{"ref": "mukul0610/ai-project", "kernel_id": "52161504"}, {"ref": "pratyush404/code-trial1", "kernel_id": "52440268"}, {"ref": "ayush1081/submission", "kernel_id": "52761179"}, {"ref": "madhav48/using-efficientnet", "kernel_id": "52701313"}, {"ref": "sandeepdsa/notebookd799412305", "kernel_id": "61465201"}, {"ref": "aashish31476/ai-ml-gc-effnetb3-ns-train-and-inference-3", "kernel_id": "64192443"}]}
{"competition_id": "71614", "kernels": []}
{"competition_id": "71646", "kernels": []}
{"competition_id": "71660", "kernels": []}
{"competition_id": "71684", "kernels": [{"ref": "utkarshsachan01/notebookf226557587", "kernel_id": "51991012"}]}
{"competition_id": "71689", "kernels": []}
{"competition_id": "71696", "kernels": []}
{"competition_id": "71697", "kernels": [{"ref": "piotrek40941/exponentialsmoothing-forecasting", "kernel_id": "71714892"}, {"ref": "srijoypaul/srijoy-paul-solution", "kernel_id": "117364168"}]}
{"competition_id": "71698", "kernels": [{"ref": "mpwolke/bugnist-2024-tif", "kernel_id": "53217705"}, {"ref": "toddgardiner/bugnist24-train-csv-wcentersv1", "kernel_id": "53318006"}, {"ref": "leanaz/bugnist-plot-the-bugs", "kernel_id": "53353997"}, {"ref": "patmjen/u-net-baseline", "kernel_id": "55215905"}, {"ref": "huyhoang333/bugnist-augmentation", "kernel_id": "55948500"}, {"ref": "huyhoang333/bugnist-training", "kernel_id": "55959535"}, {"ref": "huyhoang333/bugnist-subsampling-ess", "kernel_id": "55943704"}, {"ref": "christiankento/bugnist-visualization-2d-3d", "kernel_id": "55445072"}, {"ref": "littleshrimp7/bugnist-2024-mlcompetitions", "kernel_id": "57136311"}, {"ref": "huyhoang333/evaluation-subvol-siz", "kernel_id": "58307906"}, {"ref": "huyhoang333/subvolume-sup-training", "kernel_id": "58173766"}]}
{"competition_id": "71710", "kernels": [{"ref": "wulalala/baseline-code", "kernel_id": "53386304"}, {"ref": "wulalala/baseline-code-2", "kernel_id": "53689488"}, {"ref": "wulalala/baseline-code-3", "kernel_id": "54764296"}, {"ref": "shijiehua/shi-jie-hua-feature-engineering-and-future-trick", "kernel_id": "59419567"}]}
{"competition_id": "71711", "kernels": [{"ref": "raunakpandey030/helper-notebook", "kernel_id": "51876219"}, {"ref": "amanaditya/udhyam-ipynb", "kernel_id": "52310366"}, {"ref": "hadriencr/m24-cpp-eda-kernelridge-regressor", "kernel_id": "52182490"}, {"ref": "ganpatipandey/company0preds", "kernel_id": "52286620"}, {"ref": "nikkyg27/mosaic", "kernel_id": "79892848"}]}
{"competition_id": "71714", "kernels": []}
{"competition_id": "71715", "kernels": []}
{"competition_id": "71724", "kernels": [{"ref": "anshumandey2103/notebook43bed21cbe", "kernel_id": "121753443"}]}
{"competition_id": "71726", "kernels": []}
{"competition_id": "71728", "kernels": []}
{"competition_id": "71729", "kernels": []}
{"competition_id": "71735", "kernels": []}
{"competition_id": "71738", "kernels": []}
{"competition_id": "71741", "kernels": []}
{"competition_id": "71750", "kernels": [{"ref": "dmityalekseev/super-resolution", "kernel_id": "64549903"}, {"ref": "nevolinaa/hat-s-sr-in-video-games-psnr-33-5", "kernel_id": "65314225"}, {"ref": "doktirhako/gpu-son-b-y-k", "kernel_id": "135153916"}]}
{"competition_id": "71755", "kernels": []}
{"competition_id": "71760", "kernels": []}
{"competition_id": "71761", "kernels": []}
{"competition_id": "71774", "kernels": []}
{"competition_id": "71775", "kernels": []}
{"competition_id": "71860", "kernels": []}
{"competition_id": "71861", "kernels": [{"ref": "mpwolke/ibiohash-2024-fgvc11-images", "kernel_id": "53246274"}]}
{"competition_id": "71869", "kernels": []}
{"competition_id": "71885", "kernels": [{"ref": "oldufo/imc-2024-submission-example", "kernel_id": "52988508"}, {"ref": "oldufo/colmap-3d-visualization-with-rerun-io", "kernel_id": "53420786"}, {"ref": "tyadav/imc-understanding-the-baseline", "kernel_id": "53512884"}, {"ref": "docxian/imc-2024-hexathlon-convert-explore-rotations", "kernel_id": "53465045"}, {"ref": "xiaomaguo/baseline-with-dedode-lightglue", "kernel_id": "53702478"}, {"ref": "umar47/image-matching-challange-2d-3d", "kernel_id": "53420148"}, {"ref": "mpwolke/dioscurious-to-see-viz3d-bin", "kernel_id": "53405691"}, {"ref": "mpwolke/colmap-reconstruction-3d-church-no-lizard", "kernel_id": "53423706"}, {"ref": "pollicio/eda-imc-interact-w-3d-plots-chile", "kernel_id": "53421542"}, {"ref": "kashiwaba/imc2024-data-check", "kernel_id": "53619710"}, {"ref": "asarvazyan/imc-understanding-the-baseline", "kernel_id": "53461704"}, {"ref": "asarvazyan/eda-imc-interact-w-3d-plots-locations", "kernel_id": "53355703"}, {"ref": "motono0223/imagematching2024-dkm-example", "kernel_id": "53406546"}, {"ref": "motono0223/imagematching2024-superglue-example", "kernel_id": "53406979"}, {"ref": "motono0223/imagematching2024-loftr-example", "kernel_id": "53354680"}, {"ref": "vanshitasharma/imc-testing-submission-1", "kernel_id": "53549320"}, {"ref": "yowamishi/imc-understanding-the-baseline", "kernel_id": "53527614"}, {"ref": "golammostofas/deep-knowledge-on-embedding-for-nlp-or-llms", "kernel_id": "53644463"}, {"ref": "khan1803115/understanding-the-data-and-submission", "kernel_id": "53421196"}, {"ref": "khan1803115/imc-best-result-lb-0-13", "kernel_id": "53576076"}, {"ref": "lcmrll/dim-package-submission-example", "kernel_id": "53563543"}, {"ref": "fabiobellavia/imc2024-3d-metric-evaluation-example", "kernel_id": "53355257"}, {"ref": "nikitavet/imc-understanding-the-baseline", "kernel_id": "53729937"}, {"ref": "smahtheo/imc-understanding-the-baseline", "kernel_id": "53550408"}, {"ref": "shadesh/imc-hexathlon-2024-baseline-exploration", "kernel_id": "53671223"}, {"ref": "samsay23/imc-2024-notebook-v1", "kernel_id": "53379478"}, {"ref": "fareedmohamed/image-matching-challenge-2024-hexathlon", "kernel_id": "53472164"}, {"ref": "yujansaya/eda-3d-visualization-with-rerun", "kernel_id": "53456417"}, {"ref": "tmyok1984/imc2024-validation", "kernel_id": "54063087"}, {"ref": "nartaa/imc24", "kernel_id": "54673189"}, {"ref": "nartaa/imc2024-starter", "kernel_id": "54728559"}, {"ref": "bunny11/hexathlon-imc-dinov2", "kernel_id": "54397904"}, {"ref": "moritake04/eda-imc2024-preview-all-images", "kernel_id": "54621910"}, {"ref": "koojayeong/image-matching-challenge-baseline-240418", "kernel_id": "54894094"}, {"ref": "rohinisukumar/image-matching-challenge-2024-hexathlon", "kernel_id": "54634165"}, {"ref": "yarazedan/yarabnkhlsssssss", "kernel_id": "54008984"}, {"ref": "seoyunje/imc-data-description", "kernel_id": "54255420"}, {"ref": "michellenkaiserh/fork-of-dim-package-submission-example", "kernel_id": "54671395"}, {"ref": "jeansathiwat/imc-baseline-imgrotation", "kernel_id": "54850465"}, {"ref": "jeansathiwat/imc-best-result-lb-0-13", "kernel_id": "54797445"}, {"ref": "johsuanhung/imc-2024-submission-example", "kernel_id": "54244036"}, {"ref": "piantic/how-to-inference-mllm-multimodalllm-llava-phi3", "kernel_id": "55915688"}, {"ref": "nartaa/imc24-overlap-detection", "kernel_id": "55083337"}, {"ref": "salbeal94/imc2024-pixel-perfect-sfm", "kernel_id": "55918332"}, {"ref": "motono0223/imc-2024-multi-models-pipeline", "kernel_id": "55877926"}, {"ref": "satyaprakashshukl/simple-comparison-algorithm", "kernel_id": "55343655"}, {"ref": "humaperveen/imc2024-hexathlon", "kernel_id": "55310235"}, {"ref": "katsuhisamasuda7/eda-imc2024-for-beginner", "kernel_id": "55134231"}, {"ref": "oluwaboriige/imc-embedding-model-siamese-network", "kernel_id": "55397732"}, {"ref": "zeyanlu/image-matching-2024", "kernel_id": "55967677"}, {"ref": "doublej37/efficient-loftr-semi-dense-local-feature-matching", "kernel_id": "55987250"}, {"ref": "aarishasifkhan/imc2024-enhancing-performance-with-tensorflow", "kernel_id": "55085601"}, {"ref": "zzh551/imc-understanding-the-baseline", "kernel_id": "55988307"}, {"ref": "saenana/imc2024-starter", "kernel_id": "55153947"}, {"ref": "photunix/visualize-ground-truth-and-estimated-camera-poses", "kernel_id": "56075916"}, {"ref": "tabassumnova/feature-matching-and-image-pair-finding", "kernel_id": "56464585"}, {"ref": "vinitkp/imc-understanding-the-baseline", "kernel_id": "56045797"}, {"ref": "stpeteishii/image-matching-data-view", "kernel_id": "56286372"}, {"ref": "machinelearningnoob/simplize", "kernel_id": "56386445"}, {"ref": "nartaa/imc24-kornia-work", "kernel_id": "56826236"}, {"ref": "lenferdetroud/imc-fork", "kernel_id": "56537120"}, {"ref": "lucasmozart/imc2024-starter", "kernel_id": "56452430"}, {"ref": "nileshiq/matching-challenge-2024", "kernel_id": "56896219"}, {"ref": "andrejordansantos/imc2024-starter", "kernel_id": "56969567"}, {"ref": "wangshengyi96/aloc-imc2024", "kernel_id": "56816619"}, {"ref": "labhansh1/5d-construction", "kernel_id": "56127736"}, {"ref": "labhansh1/testsub3", "kernel_id": "56530455"}, {"ref": "mobin555/imc-2024-multi-models-pipeline-by-mobin", "kernel_id": "56524687"}, {"ref": "jeffersusus/imc-2024-multi-models-pipeline", "kernel_id": "56309678"}, {"ref": "treggae/imc2024-3d-metric-evaluation-example", "kernel_id": "56732915"}, {"ref": "jeansathiwat/imc-2024-multi-models-pipeline", "kernel_id": "56984954"}, {"ref": "jeansathiwat/image-matching-challenge-2023-inference", "kernel_id": "56982024"}, {"ref": "jeansathiwat/imc0-13-trying-keypoint-matching-with-rotation", "kernel_id": "56889552"}, {"ref": "jeansathiwat/imc-with-rotation-on-match-pair", "kernel_id": "56806585"}, {"ref": "jeansathiwat/imc-2024-rotation-correction", "kernel_id": "56705564"}, {"ref": "armyrcn/disk-baseline", "kernel_id": "56983399"}, {"ref": "armyrcn/imc24-2", "kernel_id": "56808267"}, {"ref": "armyrcn/imc2024-starter-new", "kernel_id": "56787739"}, {"ref": "soyaoki/imc2024-hierarchicallocalization", "kernel_id": "57563606"}, {"ref": "anonymousyuxiang/imc-2024-multi-models-pipeline", "kernel_id": "57531357"}, {"ref": "anonymousyuxiang/fork-of-imc-2024-multi-models-pipeline", "kernel_id": "57621737"}, {"ref": "motono0223/rotation-effect-for-image-matching", "kernel_id": "57250648"}, {"ref": "vanshitasharma/sample-submission-2-imc", "kernel_id": "57668541"}, {"ref": "tmyok1984/imc2024-exp556", "kernel_id": "58705289"}, {"ref": "tmyok1984/imc2024-exp584", "kernel_id": "58789489"}, {"ref": "lenferdetroud/imc-2024-multi-models-pipeline", "kernel_id": "58705397"}, {"ref": "motono0223/imc2024-8th-place-solution-aliked-lightglue", "kernel_id": "58808455"}, {"ref": "vanshitasharma/sample-model", "kernel_id": "58296230"}, {"ref": "nobresilva/imc2024-starter", "kernel_id": "58681575"}, {"ref": "hushamabbas/image-matching-challange-2d-3d", "kernel_id": "58040532"}, {"ref": "hushamabbas/feature-matching-and-image-pair-finding", "kernel_id": "58031354"}, {"ref": "fanhuaiyuan/fork-of-submission1-ef9c6d", "kernel_id": "58607872"}, {"ref": "greatgreysheep/imc2023-from-repo", "kernel_id": "58300176"}, {"ref": "erechtheus/imc-2023-2024-submission-example-9645fa", "kernel_id": "58655216"}, {"ref": "agnijdutta1/ag-imc24", "kernel_id": "58048393"}, {"ref": "vostankovich/imc2024-1st-place-solution", "kernel_id": "59880045"}, {"ref": "stpeteishii/basic-of-kornia-for-image-matching", "kernel_id": "59438507"}, {"ref": "filet9106/imc-2024-rotation-correction-and-multi-models", "kernel_id": "59459838"}, {"ref": "jianyuanv/vggsfm-to-refine-pycolmap-tracks", "kernel_id": "59010982"}, {"ref": "bhavaniam/imc-2024-sfm", "kernel_id": "60858190"}, {"ref": "motono0223/imc2024-8th-place-solution-demo", "kernel_id": "60178085"}, {"ref": "kirvk013/fork-of-clean-code-a2be4a", "kernel_id": "60965667"}, {"ref": "kirvk013/fork-of-fork-of-clean-code-a2be4a", "kernel_id": "60972603"}, {"ref": "kirvk013/fork-of-imc-2024-multi-models-pipeline-523c69", "kernel_id": "60996007"}, {"ref": "kirvk013/fork-of-local-cv", "kernel_id": "60995852"}, {"ref": "jamessuryaputra/canvas-back-coder", "kernel_id": "60571949"}, {"ref": "badaju/fork-of-imc2024-1st-place-solution", "kernel_id": "61519805"}, {"ref": "sarahhdd/imc2024-hierarchicallocalization", "kernel_id": "67217370"}, {"ref": "biansun/how-to-inference-mllm-multimodalllm-llava-phi3", "kernel_id": "73096834"}, {"ref": "rahadiyanarifianto/notebook0f1f9728d5", "kernel_id": "74309638"}, {"ref": "joshuajhan/vlm-clustering", "kernel_id": "79923368"}, {"ref": "saptarshim596/da312-lab12-220150019-basic-model", "kernel_id": "80476984"}, {"ref": "saptarshim596/da312-lab12-220150019-image-matching", "kernel_id": "80480809"}, {"ref": "zizhuangwei/fork-of-imc-categories-tune", "kernel_id": "81824535"}, {"ref": "yuanchunhong/lightweightmatchingmodel", "kernel_id": "81969046"}, {"ref": "linjohnsss/imc2024-1st-place-solution", "kernel_id": "83960338"}, {"ref": "carlquinnmzh/fork-of-lightweightmatchingmodel", "kernel_id": "83026066"}, {"ref": "genaitech/2d-to-3d-image-reconstruction", "kernel_id": "84439360"}, {"ref": "stpeteishii/photogrammetry-from-images-of-imc2024", "kernel_id": "85174437"}, {"ref": "enemylist/image-matching-challenge-2024", "kernel_id": "86925482"}, {"ref": "sudeshrpatil/plant-diseases-detection", "kernel_id": "87479759"}, {"ref": "pranavgokhale11/trial2-1", "kernel_id": "91308257"}, {"ref": "stpeteishii/imc2024-cylinder-gaussian-splatting", "kernel_id": "93574277"}, {"ref": "stpeteishii/image-matching-pipeline-using-sift-lightglue", "kernel_id": "93319231"}, {"ref": "vuhoangnhatanhh/colmap-demo", "kernel_id": "108204713"}, {"ref": "sevvalclalcebeciolu/image-matching-challenge", "kernel_id": "109395497"}, {"ref": "alkavishwakarma/version-2-dl-ca3", "kernel_id": "114941166"}, {"ref": "chiragvispute/dl-ca3", "kernel_id": "114940098"}, {"ref": "srishtimotwani/srishti-34-dl-ca", "kernel_id": "115098164"}, {"ref": "nishadshirodkar/dl-ca-nishad", "kernel_id": "115105681"}, {"ref": "saurabh300805/dl-ca-saurabh-42", "kernel_id": "115097322"}, {"ref": "milapmahapatra/notebookfe6ea812d8", "kernel_id": "115100225"}, {"ref": "aakashborjives/notebook0ab39d05e0", "kernel_id": "115098064"}, {"ref": "chiragnagra/35-dl-ca-3", "kernel_id": "115095562"}, {"ref": "roshanmanjal/dl-ca-3-31", "kernel_id": "115095561"}, {"ref": "pyushmehta/ca3-dl", "kernel_id": "115101132"}, {"ref": "vedikaparab204/dl-ca", "kernel_id": "115102442"}, {"ref": "tarunparkar/dl-ca3", "kernel_id": "115101075"}, {"ref": "navyanp/dl-ca2", "kernel_id": "115101820"}, {"ref": "gharmalkaraarya/dl-ca-aarya", "kernel_id": "115105684"}, {"ref": "niharmahadik/notebook81965765fd", "kernel_id": "115100240"}, {"ref": "mayu18/notebookf9a745516c", "kernel_id": "115099958"}, {"ref": "ravitejachakka/plant-diseases-detection", "kernel_id": "116949597"}]}
{"competition_id": "71910", "kernels": [{"ref": "vibhorejain1/time-series", "kernel_id": "52372784"}, {"ref": "lakhvendra43/hindi-word-spell-checker", "kernel_id": "52211436"}]}
{"competition_id": "71916", "kernels": [{"ref": "ilyushin/speechcommands-robust-classification-baseline", "kernel_id": "52098440"}, {"ref": "eminator/speechcommands-robust-classification", "kernel_id": "53034437"}]}
{"competition_id": "71943", "kernels": [{"ref": "ismaeltorres00/ismael-paco-ayudapadres", "kernel_id": "54308919"}]}
{"competition_id": "71944", "kernels": [{"ref": "cristhianccalah/reto-kaggle-estudiantes-rf", "kernel_id": "52605473"}, {"ref": "ismaeltorres00/ismael-paco-integrado", "kernel_id": "54305707"}]}
{"competition_id": "71945", "kernels": [{"ref": "joerobcia/donmono", "kernel_id": "52491999"}, {"ref": "albersanchez22/veces-repite-alberto-carlos", "kernel_id": "52605049"}]}
{"competition_id": "71949", "kernels": [{"ref": "joerobcia/red-neuronal", "kernel_id": "53309413"}]}
{"competition_id": "71956", "kernels": []}
{"competition_id": "71960", "kernels": []}
{"competition_id": "71969", "kernels": [{"ref": "lexusbedra/samokat-matching", "kernel_id": "53213741"}]}
{"competition_id": "71997", "kernels": []}
{"competition_id": "72060", "kernels": []}
{"competition_id": "72160", "kernels": []}
{"competition_id": "72164", "kernels": []}
{"competition_id": "72187", "kernels": []}
{"competition_id": "72195", "kernels": [{"ref": "mvabhishek/churn-predictor", "kernel_id": "52454388"}, {"ref": "laurentoland/final-lauren-toland", "kernel_id": "52454009"}, {"ref": "huseinghadiali/final-ayelet-andriana-husein", "kernel_id": "52459818"}, {"ref": "sakshigupta1209/notebookc5bc4fd70a", "kernel_id": "52454060"}, {"ref": "duyle0408/duy-jennie-final-project-dsc-783", "kernel_id": "52454117"}, {"ref": "danieldelasheras/harry-beasley-ryan-pittman-daniel-de-las-heras", "kernel_id": "52454237"}, {"ref": "isabelrmarsh/im-submission", "kernel_id": "52454180"}, {"ref": "kezia04/kezia-thomas", "kernel_id": "52455207"}, {"ref": "cy9899/final-project-yi-chen", "kernel_id": "52459181"}, {"ref": "alvinsoewin/alvin-final-01", "kernel_id": "52454522"}, {"ref": "kalpanatiwari30/music-streaming-subscriptions-churn-predictor", "kernel_id": "52454893"}, {"ref": "roshasinha/roshan-tirth-shivam", "kernel_id": "52462568"}]}
{"competition_id": "72208", "kernels": []}
{"competition_id": "72209", "kernels": []}
{"competition_id": "72221", "kernels": [{"ref": "vibhorejain1/credit-card-debt", "kernel_id": "52741345"}]}
{"competition_id": "72227", "kernels": []}
{"competition_id": "72234", "kernels": [{"ref": "hadriencr/nasa-sdp-eda-baseline", "kernel_id": "52663051"}]}
{"competition_id": "72239", "kernels": [{"ref": "tracyporter/ccard-fraud", "kernel_id": "52873873"}, {"ref": "noorchauhan/cc-fraud-detection-best-improvement", "kernel_id": "52976453"}, {"ref": "dustinober/credit-card-fraud-detection-analysis-r", "kernel_id": "52808664"}, {"ref": "sergeydeev/card-fraud-detection-with-tfdf", "kernel_id": "52753955"}, {"ref": "kkwywy/fraud-detection", "kernel_id": "53108469"}, {"ref": "thomasmeiner/creditcard-fraud-with-qda", "kernel_id": "53226231"}, {"ref": "thomasmeiner/creditcard-fraud-with-oneclasssvm", "kernel_id": "53225890"}, {"ref": "thomasmeiner/creditcard-fraud-with-isolationforest", "kernel_id": "53176339"}, {"ref": "thomasmeiner/creditcard-fraud-with-psod", "kernel_id": "53177166"}, {"ref": "thomasmeiner/creditcard-fraud-with-probaboost-5th-place", "kernel_id": "53182490"}, {"ref": "thomasmeiner/creditcard-fraud-with-bluecast-automl", "kernel_id": "53089354"}, {"ref": "riachoudhari/credit-card-fraud-detection", "kernel_id": "53094664"}, {"ref": "noorchauhan/feature-analysis-cc-fraud-detection", "kernel_id": "53437417"}, {"ref": "noorchauhan/cc-fraud-detection-xgb", "kernel_id": "53337682"}, {"ref": "jayrdixit/cc-fraud-competition", "kernel_id": "53128708"}, {"ref": "mahmoudsaadmohamed/credit-card-with-tensorflow-decision", "kernel_id": "53160797"}, {"ref": "emmanuelalonso/fraud-detection-logistic-regression", "kernel_id": "53279263"}, {"ref": "saipreethi1234/credit-card-fraud-xgboost", "kernel_id": "53131830"}, {"ref": "drkaggle22/credit-card-fraud-detection-solution-top-40", "kernel_id": "54190386"}, {"ref": "mehdichaibat/credit-card-fraud-detection-part1", "kernel_id": "57949393"}, {"ref": "mehdichaibat/credit-card-fraud-detection-part2", "kernel_id": "58051666"}, {"ref": "arjupaudel/credit-card-fraud-detect", "kernel_id": "60579336"}, {"ref": "inbeomspring/credit-card-fraud-detection-baseline", "kernel_id": "67296123"}, {"ref": "inbeomha/credit-card-fraud-detection-xgboost", "kernel_id": "67130702"}, {"ref": "kimjaeyoung96/credit-card-fraud-detection-220000rows", "kernel_id": "67136838"}, {"ref": "zyh1104/032-credit-card-fraud-detection-part1", "kernel_id": "71524520"}, {"ref": "hanzeruiooo/credit-card-fraud-detection", "kernel_id": "74749314"}, {"ref": "olimsuyunboyev/fraud-detection", "kernel_id": "77930905"}, {"ref": "huyhuynhhoang/notebook69957da6ef", "kernel_id": "82745399"}, {"ref": "bilgingunes/credit-card-fraud-detection", "kernel_id": "82698797"}, {"ref": "malcolmtan/creditcard-fraud-with-probaboost-5th-place", "kernel_id": "84187754"}, {"ref": "malcolmtan/credit-card-fraud-detection-part1-long2run-synth", "kernel_id": "84187021"}, {"ref": "emrullahyediyildiz/credit-card-fraud-prediction", "kernel_id": "90217822"}, {"ref": "trnhuytun/fraud-detection", "kernel_id": "92957841"}, {"ref": "pyim59/sg2025-groupe-b-seance-2-pascal-yim", "kernel_id": "93154830"}, {"ref": "kanokosakurai/sg2025-seance-2-kanoko-sakurai", "kernel_id": "93154839"}, {"ref": "raphalguillo/s-ance-2-grp-b", "kernel_id": "93154885"}, {"ref": "qijun77/sg-groupeb-seance2-qijun-wang", "kernel_id": "93154773"}, {"ref": "almeidaferreira/sg-jo-o-gabriel-almeida-ferreira-s-ance-3", "kernel_id": "93154960"}, {"ref": "eunicesaracastillo/sg2025-groupe-b-s-ance-2-eunice-castillo", "kernel_id": "93154809"}, {"ref": "edouardlevesque/sg2025-s-ance-2", "kernel_id": "93155405"}]}
{"competition_id": "72259", "kernels": [{"ref": "jayrdixit/mini-sales-forecast-competition", "kernel_id": "52568029"}, {"ref": "mhsn21/copy-of-forecasting-mini-course-sales", "kernel_id": "54199584"}]}
{"competition_id": "72265", "kernels": [{"ref": "wenhaoloo/bank-churn-exploration-and-binary-classification", "kernel_id": "52687701"}]}
{"competition_id": "72270", "kernels": [{"ref": "snehalzipare/telecom-churn", "kernel_id": "53862697"}, {"ref": "snehalzipare/notebookee0a487c71", "kernel_id": "53867273"}]}
{"competition_id": "72272", "kernels": [{"ref": "trngthnhnh/finalpredictmodel", "kernel_id": "52766609"}]}
{"competition_id": "72273", "kernels": []}
{"competition_id": "72277", "kernels": [{"ref": "straider/simple-notebook-1", "kernel_id": "52416084"}, {"ref": "romanovka/simple-notebook-1", "kernel_id": "52845794"}, {"ref": "annashipilo/price-prediction", "kernel_id": "53814739"}]}
{"competition_id": "72284", "kernels": [{"ref": "daniillitvinov/dota-baseline", "kernel_id": "52429159"}, {"ref": "aryuna/ariuna-notebook25", "kernel_id": "53810393"}, {"ref": "aryuna/notebook265", "kernel_id": "54017620"}]}
{"competition_id": "72294", "kernels": []}
{"competition_id": "72307", "kernels": []}
{"competition_id": "72314", "kernels": []}
{"competition_id": "72339", "kernels": [{"ref": "leeyongbin/ks-1-spaceship-for-beginners", "kernel_id": "52489452"}, {"ref": "brainary/seoksunghyun-spaceship-titanic-commit", "kernel_id": "52770873"}, {"ref": "yoonie03/yoonjeong", "kernel_id": "52997433"}, {"ref": "mirhyun0508/spaceship-titanic", "kernel_id": "53127612"}, {"ref": "heojiyoon/heojiyoon-s-notebook-spaceship-titanic", "kernel_id": "53084746"}, {"ref": "heuisubhyeon/heesub", "kernel_id": "53074580"}, {"ref": "amirtda/competition-1", "kernel_id": "53462150"}, {"ref": "haseung02/smarcle", "kernel_id": "53120375"}, {"ref": "kwonhyojeong/hyojeong-spaceship-titanic", "kernel_id": "53117688"}, {"ref": "gyemoolee/gyemoo", "kernel_id": "53069290"}, {"ref": "jeonghyeonyeop/hyeop-spaceship-titanic", "kernel_id": "53114891"}, {"ref": "liyeeee/yelim-notebook-spaceship", "kernel_id": "53095216"}, {"ref": "gettindrywearsout/shinyoung-incomplete", "kernel_id": "53401766"}, {"ref": "wotjr0318/wotjr-0318", "kernel_id": "53493728"}, {"ref": "hoparkjh/park-jiho", "kernel_id": "53120268"}, {"ref": "seohyunan/anseohyun", "kernel_id": "53087819"}, {"ref": "oldcast1e/lee-heonseong", "kernel_id": "53120384"}, {"ref": "eunkyeol/eunkyeol-titanic", "kernel_id": "53123808"}, {"ref": "minsung813/minsung-s-spaceship-titanic", "kernel_id": "53108828"}, {"ref": "kj0409/kyungjun-eda-modeling", "kernel_id": "53010330"}, {"ref": "minseonga/minseong", "kernel_id": "53124084"}, {"ref": "smarcle/taekyung-spaceship-titanic", "kernel_id": "53131280"}, {"ref": "jiyoii/jiyoung-spaceship-titanic", "kernel_id": "53117642"}, {"ref": "smarcle/2025-smarcle-ml3", "kernel_id": "81783035"}]}
{"competition_id": "72341", "kernels": [{"ref": "ssegui/dsml-recsys-baseline-top-popular", "kernel_id": "52496909"}]}
{"competition_id": "72366", "kernels": []}
{"competition_id": "72368", "kernels": []}
{"competition_id": "72372", "kernels": []}
{"competition_id": "72387", "kernels": []}
{"competition_id": "72398", "kernels": [{"ref": "kotrying/owner-s-best-model-ai-syosetu-ai", "kernel_id": "52702056"}, {"ref": "kotrying/baseline-model-ai-syosetu-ai", "kernel_id": "52620395"}, {"ref": "kotrying/ai-transformer-embedding", "kernel_id": "54351842"}, {"ref": "adrian124/narou-xgboost", "kernel_id": "76331714"}, {"ref": "adrian124/syosetu-analysis", "kernel_id": "76089015"}, {"ref": "kotrying/ai-best-model-stacking", "kernel_id": "76175732"}]}
{"competition_id": "72489", "kernels": [{"ref": "docxian/ps-s3-e11-media-campaign-cost-regression", "kernel_id": "36257685"}, {"ref": "jeremiahshen/notebook448bfbc104", "kernel_id": "45782891"}, {"ref": "mikedelong/knn-for-large-k", "kernel_id": "53815739"}, {"ref": "mikedelong/keras-regressor", "kernel_id": "53900354"}, {"ref": "arosielle/lgbmregressor-m-f-equivalent", "kernel_id": "53761215"}, {"ref": "arosielle/abalone-regression-lgbm-m-f-1-remv-2-cols", "kernel_id": "53824200"}, {"ref": "samuelsitumeang/abalone-age-prediction-using-xgboost", "kernel_id": "53779551"}, {"ref": "aspillai/abalone-dataset-regression-lightgbm-0-14606", "kernel_id": "53779659"}, {"ref": "docxian/ps-s4-e04-abalone-regression", "kernel_id": "53746515"}, {"ref": "datascientistsohail/regression-with-abalone-se4-ep4", "kernel_id": "53904967"}, {"ref": "neonkraft/eda-ensemble-of-xgb-lgbm-and-catboost", "kernel_id": "53757115"}, {"ref": "oscarm524/ps-s4-ep4-eda-modeling-submission", "kernel_id": "53685555"}, {"ref": "natsu18/ps4-4-ensemble", "kernel_id": "53924629"}, {"ref": "rajo09/abalone-original-data-eda-lgbm-easy", "kernel_id": "53772533"}, {"ref": "rajo09/abalone-eda-xgboost-lgbm-score-0-14745", "kernel_id": "53695109"}, {"ref": "inagana/ps4e4-lb-0-14624-guide-to-tuning-and-ensemble", "kernel_id": "53842072"}, {"ref": "inagana/ps4e4-abalone-dataset-baseline", "kernel_id": "53695837"}, {"ref": "frannievas/abalone-first-submition-and-baseline-model", "kernel_id": "53898080"}, {"ref": "blade007/abalone-explained-eda-baseline", "kernel_id": "53742717"}, {"ref": "anzarwani2/simplest-beginner-notebook-updated-score", "kernel_id": "53846107"}, {"ref": "mpwolke/abalone-regression-classification", "kernel_id": "53767297"}, {"ref": "mpwolke/abalonesscatters-ransac-huber-ols", "kernel_id": "53820657"}, {"ref": "mpwolke/abalones-rings-a-regression-task", "kernel_id": "53823794"}, {"ref": "syerramilli/ps4e04-eda-xgboost-optuna", "kernel_id": "53882936"}, {"ref": "carljvh/pg-s4e4-abalone-fastai-with-ensembling", "kernel_id": "53806062"}, {"ref": "carljvh/fastai-neural-net-baseline", "kernel_id": "53793608"}, {"ref": "carljvh/s4e4-abalone-sklearn-baseline-test-of-algorithms", "kernel_id": "53870620"}, {"ref": "lukr90/ps4e4-stack-ranger-xgb-lgbm-with-r-tidymodels", "kernel_id": "53871014"}, {"ref": "mexwell/abalone-age-prediction-eda-and-ensemble", "kernel_id": "53864349"}, {"ref": "aishwaryasharma1992/ps4e4-abalone-prediction-xgboost", "kernel_id": "53821059"}, {"ref": "shwetalishimangaud/pytorch-with-tabnetregressor-0-15", "kernel_id": "53695423"}, {"ref": "emxheena/abalone-xgbregression", "kernel_id": "53825056"}, {"ref": "manuelandersen/pgs4e4-eda-xgboost", "kernel_id": "53754769"}, {"ref": "abdulkerimnee/abalone-outlier-detection-and-handling", "kernel_id": "53869542"}, {"ref": "alicenkbaytop/abalone-eda-regression-submission", "kernel_id": "53778723"}, {"ref": "thiagomantuani/ps4e4-abalone-regression-baseline", "kernel_id": "53722008"}, {"ref": "tracyporter/play-4-4-tf-regression", "kernel_id": "53713797"}, {"ref": "tracyporter/fork-of-play-4-4-tf-sgd", "kernel_id": "53754215"}, {"ref": "tracyporter/play-4-4-tf-lion", "kernel_id": "53755105"}, {"ref": "ikramur/abalone-regression-prediction-using-various-models", "kernel_id": "53717273"}, {"ref": "sasayaka/simple-eda-and-lgb-cv-optuna-eng", "kernel_id": "53715182"}, {"ref": "thomasmeiner/ps4e4-eda-feature-engineering-model", "kernel_id": "53935744"}, {"ref": "nolanmeyer/abaloneeda-original-v-synthetic", "kernel_id": "53686780"}, {"ref": "miyawakiyoshifumi/ngboost", "kernel_id": "53487933"}, {"ref": "miyawakiyoshifumi/baseline-keras-v1", "kernel_id": "53710799"}, {"ref": "marcogherbezza/eda-and-modelling-of-abalone-rings-regression", "kernel_id": "53790920"}, {"ref": "metehankantemir/regression-with-an-abalone-score-0-1567", "kernel_id": "53709196"}, {"ref": "subashinim/simple-regression-with-abalone-dataset", "kernel_id": "53701524"}, {"ref": "charanraju777/abalone-dataset-using-xg-boost-0-14766", "kernel_id": "53847793"}, {"ref": "thefich/polynomial-features-nn-abalone-regression", "kernel_id": "53997064"}, {"ref": "eldarsarajlic/abalone-dataset-ensemble-and-stacking-work-best", "kernel_id": "53898646"}, {"ref": "jocelyndumlao/decoding-abalone-a-regression-analysis-odyssey", "kernel_id": "53924536"}, {"ref": "jocelyndumlao/predicting-abalone-using-regression-analysis", "kernel_id": "53769239"}, {"ref": "chayanonc/pg24e04-eda-baseline-models-submission", "kernel_id": "53690525"}, {"ref": "ambrosm/pss4e4-eda-which-makes-sense", "kernel_id": "53752155"}, {"ref": "thomaswrightanderson/ps4e4-regression-with-an-abalone-dataset", "kernel_id": "53817251"}, {"ref": "sohaibmoradi/ps-s4e4-eda-augmentation-ensemble", "kernel_id": "53781853"}, {"ref": "tdoh86/ps4e4-eda-and-automl-baseline", "kernel_id": "53724319"}, {"ref": "satyaprakashshukl/eda-b-clef-classification", "kernel_id": "53955558"}, {"ref": "satyaprakashshukl/neural-network-optimization-analysis", "kernel_id": "53702553"}, {"ref": "satyaprakashshukl/regression-analysis", "kernel_id": "53694807"}, {"ref": "ayaabdalsalam/transformars", "kernel_id": "53935664"}, {"ref": "ravi20076/playgrounds4e04-eda-baseline", "kernel_id": "53689494"}, {"ref": "akashsinghpanwar/just-have-a-look-here", "kernel_id": "53829947"}, {"ref": "kazumatokuda/ps4e4-automl-ensemble-first-try", "kernel_id": "53910293"}, {"ref": "renshuddd/ring-prediction-with-fastai-rmse-2-51", "kernel_id": "53725546"}, {"ref": "maciejmitraszewski/lgbm-cat-xgb-optuna", "kernel_id": "53792853"}, {"ref": "maciejmitraszewski/base-benchmark-cat-boost-14-775", "kernel_id": "53722342"}, {"ref": "dimakulbida/abalone-ps-s4e4", "kernel_id": "53739739"}, {"ref": "klyushnik/keras-and-ml-regression-model", "kernel_id": "53817560"}, {"ref": "anibansal/regression-with-an-abalone-dataset", "kernel_id": "53719082"}, {"ref": "bryamblasrimac/abalone-prediction-eda-multiplemodels", "kernel_id": "53740654"}, {"ref": "susanketsarkar/abalone-dataset-basic-notebook-for-beginners", "kernel_id": "53844404"}, {"ref": "jackjai/predict-age-abalone", "kernel_id": "53890697"}, {"ref": "devbachani/regression-with-an-abalone-dataset", "kernel_id": "53708408"}, {"ref": "mustafakeser4/ps-s4e4-autogluon", "kernel_id": "53688684"}, {"ref": "pasqualemar/ps4e4-regression-with-an-abalone-dataset", "kernel_id": "53785416"}, {"ref": "iqmansingh/abalone-oof-lgbm-cat-xgb-optuna-fe", "kernel_id": "53808211"}, {"ref": "lixfzz/regression-hypergbm-baseline", "kernel_id": "53702305"}, {"ref": "rohansardar/abalone-dataset-catboost-regression-0-14806", "kernel_id": "53875208"}, {"ref": "rohansardar/abalone-dataset-xgbregressor-easy", "kernel_id": "53780555"}, {"ref": "kenjikaminogo/stacking-ensemble-catboost-xg-lightgbm", "kernel_id": "53715594"}, {"ref": "kenjikaminogo/catboost-baseline-score-0-1477", "kernel_id": "53693277"}, {"ref": "kapturovalexander/kapturov-s-solution-of-ps-s4e4", "kernel_id": "53685451"}, {"ref": "abhinavdogra002/abalone-custom-ann-model", "kernel_id": "53703253"}, {"ref": "ds150478/xgboost-ensemble-learning", "kernel_id": "53883366"}, {"ref": "igorgorin/abalone-rf-xgboost-catboost-lgbm-ensebly-umap", "kernel_id": "53961382"}, {"ref": "iqbalsyahakbar/ps4e4-abalone-data-regression-quick-start", "kernel_id": "53690029"}, {"ref": "akokoo/s4e04-data-xgboost-eda", "kernel_id": "53710922"}, {"ref": "chanchal24/regression-with-an-abalone-dataset", "kernel_id": "53988467"}, {"ref": "jaisuryaprabu/abalone-code", "kernel_id": "53744534"}, {"ref": "minhaozhang1/s4e4-outlier-analysis-with-lightgbm", "kernel_id": "53831294"}, {"ref": "minhaozhang1/s4e4-hyperparameter-tuning", "kernel_id": "53843983"}, {"ref": "pedromartnezbarrn/eda-baseline-submission", "kernel_id": "53686611"}, {"ref": "kriti264/ps-s4e4", "kernel_id": "53712959"}, {"ref": "fconti748/simple-dataset-profiling-with-ydata-profiling", "kernel_id": "53790270"}, {"ref": "harharharhar/s04e04-abalone-xgboost-2-0", "kernel_id": "53712334"}, {"ref": "francescoliveras/ps-s4-e4-eda-model-en-es", "kernel_id": "53848777"}, {"ref": "juniorbertrand/ps4e4-abalone-regression-step-by-step-guide", "kernel_id": "53688858"}, {"ref": "aaradhyabadal/ps4e4-eda-to-ensemble-pb-0-1485-aesthetic", "kernel_id": "53806551"}, {"ref": "dantheshark/playground-series-s4e4", "kernel_id": "53803253"}, {"ref": "ucas0v0zhuoqunli/pss4e4-flaml", "kernel_id": "53864855"}, {"ref": "uryednap/playground-s4e3-trees", "kernel_id": "53944465"}, {"ref": "rafe12/abalone-regression-rmse", "kernel_id": "53793852"}, {"ref": "kuryakin/s4e4-regression-with-an-abalone-dataset", "kernel_id": "53720578"}, {"ref": "songglodtan/ps4e4-abalone-regression", "kernel_id": "53823719"}, {"ref": "carloscll/abalone-final-version", "kernel_id": "53782100"}, {"ref": "fajemisinadeniyi/abalone-age-prediction", "kernel_id": "53716976"}, {"ref": "natchaphonkamhaeng/pg-s04-e04-abalone-regression", "kernel_id": "53729223"}, {"ref": "naveen1729/abalone-lgbm-0-1498", "kernel_id": "53950445"}, {"ref": "crisbebop/abalon-mlp-starter", "kernel_id": "53878621"}, {"ref": "endofnight17j03/abalone-age-ann-xgboost-catboost", "kernel_id": "53745798"}, {"ref": "pavlobaranchuk/regression-with-abalone-dataset", "kernel_id": "53730934"}, {"ref": "atharva0577/s4e04-eda-lgbm-optuna", "kernel_id": "53702644"}, {"ref": "waildebz/s4e4ps", "kernel_id": "53740754"}, {"ref": "trupologhelper/ps4e4-caaaatbooooost-baseline-0-1481", "kernel_id": "53737263"}, {"ref": "renatali/abalon-simple-eda-and-lgbm", "kernel_id": "53827089"}, {"ref": "ahmedgouda8wo/abalone-age-prediction", "kernel_id": "53807577"}, {"ref": "habilamar/xgboost-kaggle-playground-s4e4", "kernel_id": "53884388"}, {"ref": "habilamar/glm-kaggle-playground-s4e4", "kernel_id": "53807194"}, {"ref": "shantanugupta2004/xgboostregressor-beginner-friendly", "kernel_id": "53734513"}, {"ref": "vishnupriyagarige/abalone-age-regression", "kernel_id": "53759708"}, {"ref": "gyogyocat/simple-baseline-lightgbm", "kernel_id": "53880870"}, {"ref": "seifwael123/abalone-s-regression-eda-starter-0-1463", "kernel_id": "53933065"}, {"ref": "jacobshaheen/ps44-regression-of-abalone", "kernel_id": "53751310"}, {"ref": "aryan210/ps-s4-e4", "kernel_id": "53873565"}, {"ref": "vanshbatra10/ensemble-cat-xgb-randomized-search", "kernel_id": "53788279"}, {"ref": "aryankalia17/regression-with-an-abalone-dataset", "kernel_id": "53792056"}, {"ref": "ruifspinto/s04e04-abalone-chronicles", "kernel_id": "53750284"}, {"ref": "itasps/blend-of-xgboost-catboost-lgbm-0-14641", "kernel_id": "53855611"}, {"ref": "bertanpank/ps4e4-openfe-autogluon-on-gpu", "kernel_id": "53755203"}, {"ref": "arunklenin/ps4e4-abalone-age-prediction-regression", "kernel_id": "53701520"}, {"ref": "ojaswanib/abalone-dataset", "kernel_id": "53714842"}, {"ref": "martinapreusse/ps4e4-abalone-age-prediction-with-xgb-mlr3-r", "kernel_id": "53814009"}, {"ref": "sarawarhossain/beginners-approach-ft-catboostregressior", "kernel_id": "53967163"}, {"ref": "shadechen/lgb-baseline-with-eda", "kernel_id": "53695446"}, {"ref": "kimkijun7/abalone-dataset-regression-with-r", "kernel_id": "53858534"}, {"ref": "fatmanurcetnturk/regression-model-lightgbm-xgboost-catboost", "kernel_id": "53877221"}, {"ref": "mst923/0-14493-eda-votingregressor", "kernel_id": "53731424"}, {"ref": "rohangulati14/leading-sol-regression-with-an-abalone-dataset", "kernel_id": "53741288"}, {"ref": "aldrinlambon/15-insights-on-abalone-dataset", "kernel_id": "53692905"}, {"ref": "renjiabarai/ring-regressor-with-pre-classification", "kernel_id": "53833576"}, {"ref": "abhinandansharma19/ps4e4-lgb-xg-boost-ensemble", "kernel_id": "53789109"}, {"ref": "abhinandansharma19/ps4e4-easy-sol-multiple-models", "kernel_id": "53744695"}, {"ref": "umutberkekoc/eda-feature-extraction-lgbmregressor-rndmsrchcv", "kernel_id": "53761389"}, {"ref": "umutberkekoc/eda-featureextraction-catboost-hyprparam-opt", "kernel_id": "53908548"}, {"ref": "umutberkekoc/eda-lgbmregressor-optuna-gridsearchcv", "kernel_id": "53833465"}, {"ref": "rahulkumardogra2118/randomforest-abalone-ez", "kernel_id": "53810228"}, {"ref": "conykuo/abalone-v1-eda-and-openfe", "kernel_id": "53801263"}, {"ref": "adends/diving-deep-into-abalone", "kernel_id": "53825586"}, {"ref": "kkamal2003/regression-with-an-abalone-dataset", "kernel_id": "53788176"}, {"ref": "vaibhavac/s4e4-abalone-keras-neural-network", "kernel_id": "53796456"}, {"ref": "ddosad/ps4e4-abalone-eda-xgb-starter", "kernel_id": "53900434"}, {"ref": "goshak/abalone-regression-xgbregressor-optuna", "kernel_id": "53806896"}, {"ref": "linhhhhhhhh/s4e4-eda-basic-regression", "kernel_id": "53793409"}, {"ref": "pulkittarora/regression-with-an-abalone-dataset", "kernel_id": "53733276"}, {"ref": "abhishekmaher/simple-voting-regressor-lgb-cat-xgb", "kernel_id": "53776482"}, {"ref": "cheesegue/eda-abalone", "kernel_id": "53693650"}, {"ref": "veerpatel6693/simple-solution-for-beginner", "kernel_id": "53880503"}, {"ref": "mikhailnaumov/abalone-voting-regression-xgb-lgb-cat", "kernel_id": "53716137"}, {"ref": "prabalkhangura/eda-xgb-with-cv-simple-solution", "kernel_id": "53974488"}, {"ref": "akhilpm1996/regression-with-an-abalone-dataset", "kernel_id": "53802887"}, {"ref": "ravaghi/s04e04-abalone-age-prediction-model-selection", "kernel_id": "53695120"}, {"ref": "ravaghi/s04e04-abalone-age-prediction-xgboost", "kernel_id": "53694125"}, {"ref": "ravaghi/s04e04-abalone-age-prediction-autogluon", "kernel_id": "53895117"}, {"ref": "guilhermepoliveira/easy-notebook-for-beginners", "kernel_id": "53832782"}, {"ref": "sujithkamme/ps4e4-exploring-all-regressors-a-comp-study", "kernel_id": "53689818"}, {"ref": "raghavdargan/abalon", "kernel_id": "53732407"}, {"ref": "yashpuri1912/reg-abalone", "kernel_id": "53965652"}, {"ref": "atrbyg24/regression-with-an-abalone", "kernel_id": "53805645"}, {"ref": "praveshsharma2002/notebookdbb127b0d4", "kernel_id": "53699341"}, {"ref": "taichiuemura/ps4e4-eda-linear-regression", "kernel_id": "53686090"}, {"ref": "szymnq/regression-with-an-abalone-dataset", "kernel_id": "53909325"}, {"ref": "mfmfmf3/clean-code-voting-regressor-base-3-models", "kernel_id": "53913710"}, {"ref": "igorvolianiuk/abalone-rings-prediction-xgb-lgbm", "kernel_id": "53900132"}, {"ref": "umairabbasi6/beginner-friendly-used-simple-svr", "kernel_id": "53786897"}, {"ref": "sunilkumaradapa/auto-feature-engineering", "kernel_id": "53721085"}, {"ref": "javedali92/regression-for-abalone-age", "kernel_id": "53748344"}, {"ref": "akoirala111/regression-easy", "kernel_id": "53775287"}, {"ref": "cestdulait/ps4e4-ez-regression", "kernel_id": "53692513"}, {"ref": "chaozhuang/ps4e04-regression-catboost-autogluon-sub", "kernel_id": "53688432"}, {"ref": "sid4ds/ps-s4e4-00-eda-xgboost-experiments", "kernel_id": "53887274"}, {"ref": "yteshima/ipywidgets-abalone-dataset", "kernel_id": "53694234"}, {"ref": "yorkyong/abalone-regression-ensemble", "kernel_id": "53703369"}, {"ref": "murilozangari/pss4e4-eda-optuna-cv-xgb-lgbm-catboost", "kernel_id": "53761757"}, {"ref": "sauravdas07/abalone-prediction-3-0", "kernel_id": "53723957"}, {"ref": "yehongyi/ps4e4-eda-easy-lightgbm-score-0-149", "kernel_id": "53705199"}, {"ref": "gourabr0y555/s4e4-eda-random-forests-importance-plots", "kernel_id": "53735836"}, {"ref": "gourabr0y555/s4e4-eda-lightgbm-importance-plots", "kernel_id": "53941564"}, {"ref": "rajneesh231/lgbm-basline-easy-0-14818-eda", "kernel_id": "53712423"}, {"ref": "rajneesh231/catboost-baseline-easy-0-14755-eda", "kernel_id": "53754207"}, {"ref": "rajneesh231/ensemble-lgb-xgb-catboost-easy-0-14711", "kernel_id": "53955356"}, {"ref": "grandmastershaurya/ps4e4-eda-linear-regression", "kernel_id": "53713942"}, {"ref": "santiago123678/catboost-best-model", "kernel_id": "53731492"}, {"ref": "amiteshsharma667/abalone-amitesh", "kernel_id": "53772914"}, {"ref": "harshitstark/regression-analysis-with-abalone-dataset", "kernel_id": "53907241"}, {"ref": "adhyanbaluja/xgboostregressor-beginner-friendly", "kernel_id": "53965895"}, {"ref": "nrng19/abalone-dataset-solution", "kernel_id": "53847375"}, {"ref": "aarushikamboj/regression-with-abalone", "kernel_id": "53757458"}, {"ref": "skaspari/abalone-regression-baseline-random-forest", "kernel_id": "53808409"}, {"ref": "skaspari/abalone-regression-data-exploration", "kernel_id": "53722559"}, {"ref": "rupanshukapoor/abalone-regression", "kernel_id": "53961343"}, {"ref": "huseyinsezen/rings-prediction-lightgbm", "kernel_id": "53712715"}, {"ref": "aaronfriasr/abalone-dataset-eda-different-models", "kernel_id": "53885539"}, {"ref": "fancifulcrow/ps-s04e04-ann", "kernel_id": "53711835"}, {"ref": "anthonyktchang/xgbregressor-dropping-the-id", "kernel_id": "53754764"}, {"ref": "youkh557/xgboost-for-beginner", "kernel_id": "53723379"}, {"ref": "cdr0101/regression-abalonedataset-0-15241", "kernel_id": "53894596"}, {"ref": "ryandanion/abalone", "kernel_id": "53881307"}, {"ref": "tanishas2024/abalone", "kernel_id": "53997845"}, {"ref": "jbm1966/h2o-automl-fast-and-dirty", "kernel_id": "54086796"}, {"ref": "uzdavinys/pg-s04e04-understand-data-though-shapley-values", "kernel_id": "54919197"}, {"ref": "uzdavinys/pg-s04e04-fastai-tabular-model", "kernel_id": "54485878"}, {"ref": "arosielle/abalone-regression-catboost", "kernel_id": "54019787"}, {"ref": "optimistix/a-very-simple-starter-notebok-lb-score-0-14925", "kernel_id": "54026922"}, {"ref": "optimistix/starter-notebook-tensor-flow-decision-forests", "kernel_id": "54186419"}, {"ref": "optimistix/automl-using-h2o", "kernel_id": "54396164"}, {"ref": "ianchute/abalone-baseline-lgbm-lb-0-14887", "kernel_id": "54221304"}, {"ref": "aspillai/abalone-regression-lgb-xgb-cat-0-14569", "kernel_id": "54319421"}, {"ref": "datascientistsohail/regression-with-abalone-xgb-bayesian-approach", "kernel_id": "54888117"}, {"ref": "datascientistsohail/regression-with-abalone-s4-e4-round-2", "kernel_id": "54006570"}, {"ref": "stopwhispering/abalone-eda-adversarial-validation", "kernel_id": "54752072"}, {"ref": "stopwhispering/abalone-classic-ml-models", "kernel_id": "54778465"}, {"ref": "stopwhispering/abalone-feature-engineering-preprocessor", "kernel_id": "54791154"}, {"ref": "aldotu/abalone", "kernel_id": "54635875"}, {"ref": "mmalam/abalone-comparisson-of-indifferent-regressors", "kernel_id": "54581785"}, {"ref": "mmalam/abalone-regression", "kernel_id": "54314149"}, {"ref": "pperna/pca-splines-elasticnet-optuna-xi-correlation", "kernel_id": "54319999"}, {"ref": "vkp123/abalone-regression-analysis", "kernel_id": "54717229"}, {"ref": "vladtasca/s4e4-putting-a-lightgbm-regressor-to-work", "kernel_id": "54492315"}, {"ref": "inagana/ps4e4-classification-with-xgboost-0-148", "kernel_id": "54541277"}, {"ref": "stpeteishii/ps-s4e4-xgboost-w-optuna", "kernel_id": "54549076"}, {"ref": "stpeteishii/ps-s4e4-catboost-w-optuna", "kernel_id": "54549094"}, {"ref": "stpeteishii/ps-s4e4-ensemble-w-votingregressor", "kernel_id": "54555696"}, {"ref": "stpeteishii/ps-s4e4-histplot", "kernel_id": "54002698"}, {"ref": "stpeteishii/ps-s4e4-lgbm-w-optuna", "kernel_id": "54070025"}, {"ref": "nhormann/optuna-catboostregressor-top-36", "kernel_id": "54630879"}, {"ref": "frannievas/abalone-data-exploration-eda", "kernel_id": "54524114"}, {"ref": "blade007/average-approach-to-regression", "kernel_id": "54169724"}, {"ref": "blade007/understanding-evaluation-metric-rmsle", "kernel_id": "54244917"}, {"ref": "nagarjungopala/fork-of-ps4e4-pytorch-nn", "kernel_id": "54498558"}, {"ref": "nagarjungopala/ps4e4-pytorch-nn", "kernel_id": "54481779"}, {"ref": "nagarjungopala/ps4e4-regressor-xgboost-lgbm-cat-optuna", "kernel_id": "54188233"}, {"ref": "mpwolke/autogluon-tabular-quick-start", "kernel_id": "54820812"}, {"ref": "syerramilli/ps4e04-automl-for-abalone-via-flaml", "kernel_id": "54025845"}, {"ref": "allegich/abalone-quick-notebook-very-small-but-score-0-149", "kernel_id": "54692256"}, {"ref": "allegich/abalone-regression-eda-first-ensemble", "kernel_id": "54622602"}, {"ref": "kumarsakshat22/abalone", "kernel_id": "54624036"}, {"ref": "naiku007/abalone-models", "kernel_id": "54943085"}, {"ref": "hittmg/240405regression-with-an-abalone-dataset", "kernel_id": "54063899"}, {"ref": "ivanblch/seminar-1", "kernel_id": "54985464"}, {"ref": "jbomitchell/by-the-rivers-of-abalone", "kernel_id": "54489538"}, {"ref": "debbiechu/regression", "kernel_id": "54697902"}, {"ref": "nickfecondo/abalone-regression", "kernel_id": "54515584"}, {"ref": "mehrankazeminia/ps4e4-abalone-lgbm-knn", "kernel_id": "54110052"}, {"ref": "pinoystat/optuna-optimizer-on-abalone-dataset", "kernel_id": "54169668"}, {"ref": "lonnieqin/abalone-age-prediction", "kernel_id": "54146973"}, {"ref": "kenconstable/xgboost-lightgbm-catboost-voting-ensemble", "kernel_id": "54021638"}, {"ref": "scarfx/abalone-regression-top-25-solution", "kernel_id": "54240259"}, {"ref": "sudharshanravi/abalone-age-prediction-ml-magic", "kernel_id": "54628714"}, {"ref": "ljasper/abalone-age-top-n-ensemble", "kernel_id": "54672432"}, {"ref": "arlle26/s4e4-eda-xgb-optuna-baseline", "kernel_id": "54134320"}, {"ref": "arjuna111/abalone-catboost-baseline", "kernel_id": "54044808"}, {"ref": "samyakb/eda-feature-engineering-formula-building", "kernel_id": "54077713"}, {"ref": "giraffe85cm/simple-neural-network-baseline-for-abalone", "kernel_id": "54731276"}, {"ref": "giraffe85cm/simplest-baseline-lightgbm", "kernel_id": "54643469"}, {"ref": "anmolstha1/the-basic-steps", "kernel_id": "54990419"}, {"ref": "bunny11/voting-classifier", "kernel_id": "54114549"}, {"ref": "spacesurfer/simple-eda-xgboost-optuna-0-1475", "kernel_id": "54574473"}, {"ref": "jeremyhaakenson/optuna-in-r", "kernel_id": "54104822"}, {"ref": "jimgruman/abalones-are-mollusks", "kernel_id": "54824916"}, {"ref": "vladimirmijatovic/xgboost-in-r-tidymodels-rmsle-metric", "kernel_id": "54571953"}, {"ref": "vladimirmijatovic/abalone-eda-in-r", "kernel_id": "54627319"}, {"ref": "vladimirmijatovic/abalone-simple-xgboost-in-r", "kernel_id": "54379916"}, {"ref": "vladimirmijatovic/r-tidymodels-ensemble-xgb-lgbm-rf-with-rmsle", "kernel_id": "54769961"}, {"ref": "keshavbhateja/regressionabalone", "kernel_id": "54987795"}, {"ref": "riskyandrean/abalone", "kernel_id": "54670272"}, {"ref": "pawanthapaliya/regression-with-an-abalone-dataset", "kernel_id": "54378326"}, {"ref": "mohamedtahaouf/predict-the-age-of-abalone-ml", "kernel_id": "54076674"}, {"ref": "mohamedtahaouf/predict-the-age-of-abalone-nn-tanh-relu", "kernel_id": "54506162"}, {"ref": "amirkotobi/ps4e4-eda-skorch-lgbm-cb-xgboost", "kernel_id": "54059846"}, {"ref": "srsses/regression-april", "kernel_id": "54577570"}, {"ref": "tuhinm2002/abalone-regression-s4e4", "kernel_id": "54961699"}, {"ref": "piyushjoshi01/ps-s4-e4-eda-ml-easy", "kernel_id": "54636943"}, {"ref": "lipsadorai/random-forest-abalone", "kernel_id": "54532941"}, {"ref": "lipsadorai/notebookae88184c19", "kernel_id": "54481370"}, {"ref": "lipsadorai/svm-model-to-check-for-rings", "kernel_id": "54485832"}, {"ref": "nonrice/abolone-age-prediction-using-svr", "kernel_id": "54166069"}, {"ref": "benzir/rwabalones", "kernel_id": "54999339"}, {"ref": "yuvannabawa/neural-networks-for-abalone-age-prediction", "kernel_id": "54422461"}, {"ref": "barbagrande007/bbg007-abalone", "kernel_id": "54266801"}, {"ref": "davisxergs/abalone-using-catregressor-xgboost-and-lightgbm", "kernel_id": "54222742"}, {"ref": "satyaprakashshukl/neural-network-dl-surrogate-data-analysis", "kernel_id": "54481859"}, {"ref": "satyaprakashshukl/lightautoml-analysis", "kernel_id": "54252677"}, {"ref": "satyaprakashshukl/simple-h20-abalone-analysis", "kernel_id": "54227131"}, {"ref": "ravi20076/playgrounds4e04-blender", "kernel_id": "54207537"}, {"ref": "ravi20076/playgrounds4e04-automl", "kernel_id": "54199158"}, {"ref": "itspavansatish/base-lgbm", "kernel_id": "54629521"}, {"ref": "salsabilanmahmudah/regression-with-abalon-dataset", "kernel_id": "54850376"}, {"ref": "vladislavsultanov/catboost-lgbm-xgboost-stacking-rmw-team", "kernel_id": "54130043"}, {"ref": "anibansal/regression-with-abalone-lgbm-catboost", "kernel_id": "54721489"}, {"ref": "varunraskar/baseline-model-beginners", "kernel_id": "54091526"}, {"ref": "vinaykumar52/gradientboosting-regressor", "kernel_id": "54125652"}, {"ref": "susanketsarkar/abalone-dataset-feature-enginnering", "kernel_id": "54013038"}, {"ref": "vl4deee11/log-catboost-lgbm-xgboost-stacking-rmw-team", "kernel_id": "54620440"}, {"ref": "vickfeuga/ps-s4e4-cooking-kneighbors-x-optuna", "kernel_id": "54310940"}, {"ref": "nehajain08/abalone-with-feature-importance", "kernel_id": "54573612"}, {"ref": "hermengardo/ps4e4-ensemble-eda", "kernel_id": "54455214"}, {"ref": "abhisheksriwastav/regression-with-abalone-dataset", "kernel_id": "54147694"}, {"ref": "swish9/april-challenge-eda-model-0-149", "kernel_id": "54205665"}, {"ref": "shindegaurav/regression-with-an-abalone-dataset", "kernel_id": "54480251"}, {"ref": "rohansardar/knn-regression-abalone-dataset", "kernel_id": "54068285"}, {"ref": "yjsh2003/regression-abalone", "kernel_id": "54625596"}, {"ref": "yjsh2003/abalone-tabnet-in-abalone-dataset", "kernel_id": "54669861"}, {"ref": "rubanzasilva/ps-s04e04-fastai", "kernel_id": "54494050"}, {"ref": "cndrip/forest-xgb-baseline-abalone-s4e4", "kernel_id": "54034982"}, {"ref": "rzatemizel/prepare-for-automl-grand-prix-flaml-pipelines", "kernel_id": "54801538"}, {"ref": "vidhikishorwaghela/regression-with-an-abalone-dataset", "kernel_id": "54414622"}, {"ref": "omega11/abalone-competition", "kernel_id": "54094098"}, {"ref": "declansaw/xgboosting-abalone", "kernel_id": "54723199"}, {"ref": "mariusborel/abalone-rings-prediction-eda-and-models", "kernel_id": "54647124"}, {"ref": "mariusborel/abalone-rings-grouped-by-sex", "kernel_id": "54241467"}, {"ref": "risakashiwabara/pytorch", "kernel_id": "54190135"}, {"ref": "igorgorin/abalone-autogluon", "kernel_id": "54403711"}, {"ref": "ashishkumarak/pss4e4-abalones-eda-optuna-voting-ensemble", "kernel_id": "54033409"}, {"ref": "thiagolimasantos/pss4e4-essemble-noblend-cat-xgb-lgb", "kernel_id": "54075507"}, {"ref": "y5cy5c/simple-and-rigorous-multiple-linear-regression", "kernel_id": "54148767"}, {"ref": "raniahelmy/aa-eda", "kernel_id": "54555098"}, {"ref": "chanchal24/regression-with-an-abalone-dataset-2", "kernel_id": "54361238"}, {"ref": "hridaym25/trying-autogluon", "kernel_id": "54737637"}, {"ref": "ajaybadrinath/abalone-regression", "kernel_id": "54812498"}, {"ref": "wowthecoder/regression-with-abalone-dataset", "kernel_id": "54097791"}, {"ref": "abhishekgautam12/starter-eda-xgboost", "kernel_id": "54615901"}, {"ref": "fconti748/ps-s4-ep4-optuna-dashboard-in-a-kaggle-notebook", "kernel_id": "54134617"}, {"ref": "salvatorelatora/abalone-simple-eda-catboost-optuna", "kernel_id": "54785804"}, {"ref": "ajeet01/abalone-age-prediction-catboost-xgb-regression", "kernel_id": "54950872"}, {"ref": "leeheewon01/ps4e4-prediction-generalization-regression", "kernel_id": "54789336"}, {"ref": "ekara96/s4e4-top-9-polynomial-xgboost-lightgbm", "kernel_id": "54879910"}, {"ref": "kvishalk/catboost-simple-code", "kernel_id": "54253966"}, {"ref": "sanyamgoyal401/abalone-age-prediction", "kernel_id": "54594830"}, {"ref": "grooper/regression-practice-with-an-abalone-dataset", "kernel_id": "54672922"}, {"ref": "dijindominic/abalone-linear-regression-r2-47-46", "kernel_id": "54515890"}, {"ref": "thirupatireddy/regression-with-abalone-dataset", "kernel_id": "54072335"}, {"ref": "divyanshagg27/regression-with-an-abalone-dataset", "kernel_id": "54804065"}, {"ref": "carloscll/abalone-feature-selection", "kernel_id": "54226188"}, {"ref": "tarundirector/prediction-abalone-age-detailed-eda", "kernel_id": "54010015"}, {"ref": "nazimcherpanov/0-1475-regression-magic-with-voting", "kernel_id": "54267836"}, {"ref": "reaperlethal/regression-with-an-abalone-dataset", "kernel_id": "54176595"}, {"ref": "reaperlethal/fork-of-regression-with-an-abalone-dataset", "kernel_id": "54183915"}, {"ref": "crisbebop/abalon-catboost-optuna", "kernel_id": "54093761"}, {"ref": "sxjeru/s4e4-x-l-c-py", "kernel_id": "54801215"}, {"ref": "mcmaki/pss4e4-pycaret", "kernel_id": "54546500"}, {"ref": "manishkumar21324/eda-regression-with-abalone-dataset", "kernel_id": "54014425"}, {"ref": "engamohammed/abalone", "kernel_id": "54000931"}, {"ref": "trupologhelper/ps4e4-simple-ensemble-no-preprocessing", "kernel_id": "54019423"}, {"ref": "trupologhelper/ps4e4-diverse-ensemble-just-optuna", "kernel_id": "54267197"}, {"ref": "trupologhelper/ps4e4-power-of-tabular-data-neural-networks", "kernel_id": "54599793"}, {"ref": "trupologhelper/neural-networks-for-tabular-data", "kernel_id": "54598786"}, {"ref": "beyazituysal/abalone-rings-random-forest-regressor", "kernel_id": "54388336"}, {"ref": "cristhianccalah/regression-with-an-abalone-dataset-etr", "kernel_id": "54595226"}, {"ref": "cristhianccalah/regression-with-an-abalone-dataset-svm", "kernel_id": "54021365"}, {"ref": "mateynedyalkov/pss4e4-ensemble", "kernel_id": "54854975"}, {"ref": "eishkaran/abalone-automl-autogloun", "kernel_id": "54049214"}, {"ref": "getanmolgupta01/abalone-age-xgb-gb-mlp-lgbm-ensemble", "kernel_id": "54151702"}, {"ref": "gyogyocat/tune-lightgbm-r", "kernel_id": "54649938"}, {"ref": "sardarabdulmoizkhan/regression-with-an-abalone-dataset", "kernel_id": "54638236"}, {"ref": "khizertariq/abalone-submission", "kernel_id": "54688257"}, {"ref": "marwanmostafa222012/very-simple-regression", "kernel_id": "54517011"}, {"ref": "harshpatel0816/abalone-age-prediction", "kernel_id": "54194468"}, {"ref": "jaymilindpadloskar/base-1-0", "kernel_id": "54073087"}, {"ref": "jaymilindpadloskar/testing-lgbm-optuna", "kernel_id": "54214329"}, {"ref": "jaymilindpadloskar/testing-catboost-optuna", "kernel_id": "54204126"}, {"ref": "jaymilindpadloskar/base-4-0", "kernel_id": "54151697"}, {"ref": "anubhavsood/abalone-ageprediciton", "kernel_id": "54585321"}, {"ref": "anmol111pal/regression-with-abalone-dataset-competition-ann", "kernel_id": "54622770"}, {"ref": "anmol111pal/regression-with-abalone-dataset-competition", "kernel_id": "54419271"}, {"ref": "shlokshivkar/s4e4-abalone-eda-optuna-voting-beginnerfriendly", "kernel_id": "54276329"}, {"ref": "itasps/simple-model-polynomial-regression-0-15271", "kernel_id": "54989944"}, {"ref": "parthdande/using-xgb-boost", "kernel_id": "54122372"}, {"ref": "ritikkoshta/analyzing-abalone-age", "kernel_id": "54608207"}, {"ref": "nobun123/cs-ml-final-project-regression-analysis", "kernel_id": "54663261"}, {"ref": "chayanroy3/playground-e4s4-nn", "kernel_id": "54366475"}, {"ref": "darkdevil18/0-14727-abalone-no-feature-eng", "kernel_id": "54208883"}, {"ref": "ednaxx/ps4e4-abalone-regression", "kernel_id": "54516153"}, {"ref": "khushibansal15/easy-approach-to-regression-problem", "kernel_id": "54368864"}, {"ref": "arunklenin/ps4e4-prediction-generalization-regression", "kernel_id": "54402447"}, {"ref": "akshaykhanna05/abalone-dataset-akshay", "kernel_id": "54265314"}, {"ref": "riyaraizada/regression-with-an-abalone-dataset", "kernel_id": "54045479"}, {"ref": "maheshmani13/neural-net-regression", "kernel_id": "54272275"}, {"ref": "maheshmani13/automl-regression", "kernel_id": "54279931"}, {"ref": "goyalharshit03/hg-note", "kernel_id": "54719813"}, {"ref": "mohamedanasmkit/regresssion", "kernel_id": "54922800"}, {"ref": "mohamedanasmkit/xgboost", "kernel_id": "54930362"}, {"ref": "martinapreusse/ps4e4-xgb-cat-lgb-hgb-py", "kernel_id": "54725206"}, {"ref": "marydata/playgrounds4e4", "kernel_id": "54966659"}, {"ref": "kalpanagarige/regression-with-an-abalone-dataset", "kernel_id": "54129780"}, {"ref": "hrushikeshdongre/regression-with-an-abalone-dataset-0-1455", "kernel_id": "54188952"}, {"ref": "miriamodeyianypeter/regression-abalone-age-prediction", "kernel_id": "54513634"}, {"ref": "thomascreid/ensemble-with-columntransformer-pipelines-tuning", "kernel_id": "54311891"}, {"ref": "thomascreid/ensemble-with-columntransformer-pipelines", "kernel_id": "54238404"}, {"ref": "kashish50/regression-stacking", "kernel_id": "54182348"}, {"ref": "kashish50/abalone-xgb-lightgbm", "kernel_id": "54049857"}, {"ref": "kashish50/regression-abalone-gradientboosting", "kernel_id": "54049089"}, {"ref": "aldrinlambon/10-regression-models-for-abalone-rings", "kernel_id": "54397108"}, {"ref": "akshita0560/regression-with-a-abalone-dataset", "kernel_id": "54231493"}, {"ref": "abhinavvvvvvvvvv/regression-with-an-abalone-dataset", "kernel_id": "54672229"}, {"ref": "abhinandansharma19/ps4e4-under-100-rank-0-145", "kernel_id": "54211198"}, {"ref": "khushimittal27/regression-abalone-dataset", "kernel_id": "54720503"}, {"ref": "somyamathur1014/notebook-1", "kernel_id": "54220613"}, {"ref": "shadesh/regression-with-an-abalone-dataset-ml-regressor", "kernel_id": "54151247"}, {"ref": "sholanaivan/abalon", "kernel_id": "54609175"}, {"ref": "amanaayush/abalone-dataset", "kernel_id": "54306324"}, {"ref": "nikku2611/abalone-prediction-xgboost", "kernel_id": "54306682"}, {"ref": "arkabarua173/regression-of-abalone-age", "kernel_id": "54004098"}, {"ref": "muhammadawaistayyab/ps4e4-random-forest", "kernel_id": "54730909"}, {"ref": "slavasn/abalone", "kernel_id": "54001745"}, {"ref": "calinranger/notebookd10d98310d", "kernel_id": "54363528"}, {"ref": "arpansin/abalona-datataset", "kernel_id": "54223162"}, {"ref": "armanzhalgasbayev/ps-s4-e4-votingregressor-lgbm-xgb-catboost", "kernel_id": "54151361"}, {"ref": "samakshahuja605/regression-with-abalone", "kernel_id": "54212345"}, {"ref": "nitleenk/abalone-regression", "kernel_id": "54282470"}, {"ref": "vaibhavac/s4e4-abalone-lgbm-xgb-voting", "kernel_id": "54584679"}, {"ref": "ishaangaba17/regression-with-an-abalone-dataset-easy-soln", "kernel_id": "54684728"}, {"ref": "vicotrshysko/abalone-rings-prediction-eda-gbregressor", "kernel_id": "54089166"}, {"ref": "gamablobyt/abalone-regression-using-xgboost-and-optuna", "kernel_id": "54663653"}, {"ref": "disheng11li/ps4e4", "kernel_id": "54249278"}, {"ref": "madhvisaxena/linearregression-abalone", "kernel_id": "54871279"}, {"ref": "mikhailnaumov/abalone-ensemble-0-1455", "kernel_id": "54350236"}, {"ref": "ravaghi/s04e04-abalone-age-prediction-classification", "kernel_id": "54514006"}, {"ref": "ravaghi/s04e04-abalone-age-prediction-ensemble", "kernel_id": "54458741"}, {"ref": "praneykalra/abalone-regression", "kernel_id": "54049594"}, {"ref": "sammaslammajama/kaggle-abalone-regression", "kernel_id": "54697921"}, {"ref": "japleenkaurbedi/regression-with-abalone", "kernel_id": "54339857"}, {"ref": "harbandanakaur/regression-with-an-abalone-dataset", "kernel_id": "54339945"}, {"ref": "japjotsingh699/abalone-s-regression", "kernel_id": "54191460"}, {"ref": "ishita1802/regression-abalone-dataset", "kernel_id": "54293447"}, {"ref": "mouadenna/regression-with-abalone-eda", "kernel_id": "54096489"}, {"ref": "mclegend/regression-with-an-abalone-dataset-lightgbm", "kernel_id": "54685464"}, {"ref": "anchalsekhrii/regression-abalone-dataset", "kernel_id": "54621237"}, {"ref": "hikageshinomori/regression-with-abalone-datas", "kernel_id": "54670901"}, {"ref": "piyush1234ggfuvi/regression-with-an-abalone-dataset", "kernel_id": "54250495"}, {"ref": "shwetakk/notebooke09b723624", "kernel_id": "54046127"}, {"ref": "vineetmehar/abalone-regression", "kernel_id": "54206873"}, {"ref": "jainsanyam10/ps4e4-prediction-generalization-regression", "kernel_id": "54720329"}, {"ref": "volkanastasia/abalone-age-prediction-pss4e4-optuna-voting", "kernel_id": "54363717"}, {"ref": "nitishjolly/abalone-dataset", "kernel_id": "54047464"}, {"ref": "arthkumar2307/notebook13d3154647", "kernel_id": "54636883"}, {"ref": "arthkumar2307/abalone-prediction", "kernel_id": "54636016"}, {"ref": "arthkumar2307/abalone-by-arth", "kernel_id": "54637100"}, {"ref": "chetalipushkarna/using-logistic-regression-with-rmse-0-16", "kernel_id": "54966385"}, {"ref": "muhammedjunaisk/abalone-age-prediction", "kernel_id": "54223459"}, {"ref": "rohanthakur336/abalone-playground", "kernel_id": "54767329"}, {"ref": "mfmfmf3/feature-selection-base-genetic-algorithm", "kernel_id": "54231945"}, {"ref": "mfmfmf3/clean-code-merge-three-notebooks", "kernel_id": "54811927"}, {"ref": "stutimittal11/regression-with-an-abalone-dataset", "kernel_id": "54262220"}, {"ref": "fanhuaiyuan/ring-lord", "kernel_id": "54131407"}, {"ref": "naveenapaleti/notebookb81e8a0049", "kernel_id": "54077455"}, {"ref": "igorvolianiuk/abalone-rings-ensemble", "kernel_id": "54231149"}, {"ref": "agarwalyashhh/abalone-ps4e4-multiple-models", "kernel_id": "54966848"}, {"ref": "sehajbirsinghbains/abalone-dataset-regression", "kernel_id": "54676854"}, {"ref": "zaidali11/abalone-regression-eda-fe", "kernel_id": "54762191"}, {"ref": "navanishpandey/abalone-playground-project", "kernel_id": "54493136"}, {"ref": "navanishpandey/abalone-age-prediction-simple-code", "kernel_id": "54608612"}, {"ref": "chopper53/regressionwithanabalonedataset", "kernel_id": "54978024"}, {"ref": "aradhakkandhari/regression-abalone-dataset", "kernel_id": "54587346"}, {"ref": "aradhakkandhari/abalone-regression", "kernel_id": "54226882"}, {"ref": "nevrohelios/supercharged-ensemble-xgboost-catboost", "kernel_id": "54374402"}, {"ref": "yulin5567/eda-abalone", "kernel_id": "54246269"}, {"ref": "thomas1999h/abalone-dataset", "kernel_id": "54276647"}, {"ref": "jayantdon/abalone-regression", "kernel_id": "54219945"}, {"ref": "liaoguoying/unethology-predict-age-with-transunet", "kernel_id": "54433151"}, {"ref": "katabathinajyoshnavi/regression", "kernel_id": "54657417"}, {"ref": "vaibhavjain23/regression-on-abalone-dataset", "kernel_id": "54966728"}, {"ref": "gourabr0y555/s4e4-xgboost-eda-importance-plots", "kernel_id": "54494348"}, {"ref": "gourabr0y555/s4e4-eda-catboost-importance-plots", "kernel_id": "54086470"}, {"ref": "kostasereksonas/abalone-randomforestregressor", "kernel_id": "54303725"}, {"ref": "coralblackdatabox/abalone-logtrans-xgb", "kernel_id": "54942031"}, {"ref": "rijuljain2003/regression-rijul", "kernel_id": "54719717"}, {"ref": "sakshamsikri8/regression-with-an-abalone-dataset-b96b49", "kernel_id": "54265260"}, {"ref": "sakshamsikri8/regression-with-an-abalone-dataset", "kernel_id": "54265085"}, {"ref": "bhavyabhalla2701/regression-with-an-abalone-dataset-bhavya-bhalla", "kernel_id": "54261620"}, {"ref": "namishjindal4/regression-with-an-abalone-dataset", "kernel_id": "54934878"}, {"ref": "nishthakumari20/regression-with-an-abalone-dataset", "kernel_id": "54935599"}, {"ref": "tarndeepsingh16/regression-with-an-abalone-dataset", "kernel_id": "54049277"}, {"ref": "ananyagupta184/regression-with-abalone-dataset", "kernel_id": "54221706"}, {"ref": "anipreetsingh/notebooka76d3ea0d0", "kernel_id": "54221785"}, {"ref": "anipreetsingh/notebook94dcd5518c", "kernel_id": "54221640"}, {"ref": "dimokshalashov/abalone-simple-catboost", "kernel_id": "54758275"}, {"ref": "parvez0khan/abalone-d", "kernel_id": "54324457"}, {"ref": "benjaminpike35/abalone-fe-exploration-xgb-lgbm-ensemble", "kernel_id": "54335364"}, {"ref": "luxluxshan/reusable-public-score-0-14851", "kernel_id": "54492233"}, {"ref": "parulkumartiet/regression-with-an-abalone-dataset-by-pk", "kernel_id": "54197002"}, {"ref": "xayeshax/abalone", "kernel_id": "54853528"}, {"ref": "anhdungdang/abalone-dataset-ensemble-learning", "kernel_id": "54799674"}, {"ref": "joonalohtander/s4e4-playground-series-h2o-automl-in-r", "kernel_id": "54972375"}, {"ref": "aabi2705/xgboost-lightgbm-catboost-ensamble", "kernel_id": "54603008"}, {"ref": "harshahalpara/just-xgboost", "kernel_id": "54872194"}, {"ref": "piotrniezabitowski/abalone-dataset", "kernel_id": "54702992"}, {"ref": "amoeed234/regress-notebook", "kernel_id": "54526967"}, {"ref": "lko9911/regression-model-abalone-dataset", "kernel_id": "54797405"}, {"ref": "fancifulcrow/ps-s04e04-voting-regressor", "kernel_id": "54222496"}, {"ref": "bryancrossman/linear-regression-baseline-for-beginners", "kernel_id": "54625401"}, {"ref": "adiseshuk/xgboost-catboost-random-forest-voting", "kernel_id": "54642500"}, {"ref": "lillynguyen0510/abalone-age-prediction", "kernel_id": "54371776"}, {"ref": "rituparnomajumdar/regression-analysis-with-abalone-data", "kernel_id": "54066250"}, {"ref": "saiauc/simple-lgbm-optuna", "kernel_id": "54911819"}, {"ref": "lebinhthanh/regression-abalone-eda-train-model-tuning", "kernel_id": "54492694"}, {"ref": "sarahhitier/regression-with-an-abalone-dataset", "kernel_id": "54411648"}, {"ref": "arsteni/submission", "kernel_id": "54226520"}, {"ref": "aditivij/abalone-dataset", "kernel_id": "54612590"}, {"ref": "yichuanhuang/regression-with-an-abalone-dataset-xgboost", "kernel_id": "54768712"}, {"ref": "paddykb/s4e5-bfi-forces-of-nature-floods-and-flamls", "kernel_id": "55964637"}, {"ref": "maximetrepanier/abalone-with-gbms", "kernel_id": "55855945"}, {"ref": "jankuper192/r-ings-second-draft-pcr-elastic-net-and-gam", "kernel_id": "55197274"}, {"ref": "stevesimons/ridge-regression-with-an-abalone-dataset", "kernel_id": "55024237"}, {"ref": "stevesimons/regression-with-an-abalone-dataset", "kernel_id": "55228918"}, {"ref": "mscgeorges/abalone-autogluon-sex-modeling-0-14464", "kernel_id": "55649214"}, {"ref": "mmalam/abalone-regression-correlated-columns-removed", "kernel_id": "55265086"}, {"ref": "chugreev/linearregresson-sklearn", "kernel_id": "55136502"}, {"ref": "rajaranjith1999/linear-regression-for-abalone", "kernel_id": "55239361"}, {"ref": "vinaykumar18/abalone-age-prediction", "kernel_id": "55165636"}, {"ref": "pranaii/abalone-dataset-eda", "kernel_id": "55699851"}, {"ref": "jkarthikn/abalone-rings-prediction", "kernel_id": "55183594"}, {"ref": "gdataranger/predict-age-of-abalone-votingregressor", "kernel_id": "55304728"}, {"ref": "umarsajjad/how-old-is-that-abalone", "kernel_id": "55327679"}, {"ref": "allegich/graphs-with-networkx-part-1", "kernel_id": "55221927"}, {"ref": "naarku30/simple-eda-and-model-building-abalone-dataset", "kernel_id": "55848985"}, {"ref": "mohammedshammeer/abalone-eda", "kernel_id": "55071057"}, {"ref": "ivanblch/seminar-2", "kernel_id": "55176767"}, {"ref": "ivanblch/seminar-3", "kernel_id": "55407578"}, {"ref": "aaachen/ps4e4-xgboost-lightgbm-catboost", "kernel_id": "55448135"}, {"ref": "rintasetyon/linearregression-abalon-dataset", "kernel_id": "55087519"}, {"ref": "abdulkerimnee/abalone-predict", "kernel_id": "55124212"}, {"ref": "sasayaka/simple-votingregressor-lgbm-catboost-eng", "kernel_id": "55065713"}, {"ref": "pidapartisitapati/abalonenotebook", "kernel_id": "55885212"}, {"ref": "anmolstha1/abalone-t4", "kernel_id": "55060170"}, {"ref": "anmolstha1/catboostregressor-among-14-models", "kernel_id": "55187133"}, {"ref": "anmolstha1/practice-feature-scaling", "kernel_id": "55832474"}, {"ref": "atillacolak/abalone-exploratory-data-analysis", "kernel_id": "55855361"}, {"ref": "aadarshvelu/abalone-explanation-regression-cat-boost", "kernel_id": "55068657"}, {"ref": "anujpanthri/abalone-age-guesser", "kernel_id": "55283055"}, {"ref": "areeshaary/ps4e4-xgboost-regressor-0-1493", "kernel_id": "55094826"}, {"ref": "shankarrajappa/predict-abaloneage", "kernel_id": "55290701"}, {"ref": "tomprak/abalone-preds-jax", "kernel_id": "55552958"}, {"ref": "sabrinakathleen/predicting-abalone-age", "kernel_id": "55909254"}, {"ref": "zoey7932/regression-with-an-abalone-dataset-neural-network", "kernel_id": "55317951"}, {"ref": "mahendra301/beginner-friendly-regression", "kernel_id": "55241639"}, {"ref": "mihiranpasindu/regression-with-an-abalone-dataset", "kernel_id": "55087261"}, {"ref": "act18l/nn-is-not-the-trick-to-get-better-public-lb", "kernel_id": "55340264"}, {"ref": "tdoh86/ps4e4-abalone-age-prediction-with-autogluon", "kernel_id": "55622703"}, {"ref": "harshvardhanguleria/abalone-dataset-regression", "kernel_id": "55573277"}, {"ref": "sushmiguptha/lr-with-abalone-easy-and-beginner-way", "kernel_id": "55560736"}, {"ref": "satyaprakashshukl/simple-analysis", "kernel_id": "55436487"}, {"ref": "satyaprakashshukl/neural-network-prediction-analysis", "kernel_id": "55951075"}, {"ref": "uditamin/lgm-boost-baselines", "kernel_id": "55702978"}, {"ref": "leovcm/predicting-abalone-age-using-catboost", "kernel_id": "55932246"}, {"ref": "itspavansatish/automl", "kernel_id": "55152641"}, {"ref": "hamzabinbutt/ablone", "kernel_id": "55918695"}, {"ref": "likhon148/tensorflow-hp-tuning-random-search", "kernel_id": "55840982"}, {"ref": "kattat/basic-autogluon-no-eda-no-hpo", "kernel_id": "55691360"}, {"ref": "rzatemizel/prepare-for-automl-grand-prix-explore-autogluon", "kernel_id": "55138571"}, {"ref": "dilshankavinda/multiple-linear-regression-with-an-abalone-dataset", "kernel_id": "55109495"}, {"ref": "raniahelmy/notebooke091126846", "kernel_id": "55069928"}, {"ref": "sasikiranroyal/abalone-rings-prediction", "kernel_id": "55341769"}, {"ref": "hridaym25/votingregressor", "kernel_id": "55319760"}, {"ref": "juniorbertrand/high-scoring-101-for-lazy-people", "kernel_id": "55639813"}, {"ref": "alejandromendozaarv/abalone-with-gbr-rfr-and-svr", "kernel_id": "55651403"}, {"ref": "aaradhyabadal/ps4e4-ensemble-pb-0-1486", "kernel_id": "55077295"}, {"ref": "aaradhyabadal/ps4e5-eda-original-data-voting-regressor", "kernel_id": "55976895"}, {"ref": "imshayan/randomforestr-abalone", "kernel_id": "55220268"}, {"ref": "cnezhmar/eda-regression-abalone-dataset", "kernel_id": "55893031"}, {"ref": "crisbebop/abalon-catb-xgb-lgbm-ridge-weights-v6", "kernel_id": "55291163"}, {"ref": "eneskosar19/abalone-age-prediction-ann-regression", "kernel_id": "55361284"}, {"ref": "endritmustafa/abaloneringsprediction-playgroundseries-s4e4", "kernel_id": "55790386"}, {"ref": "trupologhelper/ps4e4-lightgbm-only", "kernel_id": "55557963"}, {"ref": "ahmeabdelrhman/notebook60d5578ce4", "kernel_id": "55306554"}, {"ref": "yashchavn/abalone-reg", "kernel_id": "55216187"}, {"ref": "shantanugupta2004/lgbm-hyperparameter-0-147-score", "kernel_id": "55097414"}, {"ref": "gyogyocat/stacking-tune-lightgbm-xgboost-r", "kernel_id": "55314067"}, {"ref": "marwanmostafa222012/notebookd33845343d", "kernel_id": "55354147"}, {"ref": "jaymilindpadloskar/weighted-avg-cat-lgbm-further-tuning", "kernel_id": "55899741"}, {"ref": "abeshith/abalone-regression", "kernel_id": "55531668"}, {"ref": "azeemkhan417/abalone-dataset", "kernel_id": "55708352"}, {"ref": "matthewsfarmer/not-alone-abalone-4-04", "kernel_id": "55919196"}, {"ref": "jasonliowyihuan/abalone-age-prediction", "kernel_id": "55275000"}, {"ref": "saurabhru/regression-with-an-abalone-dataset", "kernel_id": "55363500"}, {"ref": "idowuadamo/abalone-age-regressor", "kernel_id": "55072655"}, {"ref": "darkdevil18/0-14736-regression-with-voting-no-feature-eng", "kernel_id": "55258731"}, {"ref": "aymenfkir/regression-with-an-abalone-dataset", "kernel_id": "55975346"}, {"ref": "alkidiarete/automation-h2o-ai", "kernel_id": "55314417"}, {"ref": "junaidullhassan/regression-with-abalone-65-acc-multi-ml-appro", "kernel_id": "55646427"}, {"ref": "yuehengzeng/autogluon-ps4e4", "kernel_id": "55547960"}, {"ref": "abishaalichan/abalone-dataset", "kernel_id": "55580205"}, {"ref": "stankarz/abalone-regression-v3", "kernel_id": "55921647"}, {"ref": "stankarz/ensembling-fastai-xgboost-lightgbm-catboost", "kernel_id": "55927130"}, {"ref": "nileshiq/abalone-ring-forecast-regression-exploration", "kernel_id": "55534056"}, {"ref": "mananagrawalllll/manan-agrawal-submission", "kernel_id": "55791294"}, {"ref": "fatmanurcetnturk/basic-regression-model-cv-lightgbm", "kernel_id": "55227233"}, {"ref": "leonhardpiff/neural-net-uncertainty-visualization", "kernel_id": "55047236"}, {"ref": "muratbakirr/regression-with-an-abalone-dataset", "kernel_id": "55231251"}, {"ref": "wolfie8935/abalone-linear-regression-and-random-forest", "kernel_id": "55171084"}, {"ref": "sachinsd/learn-pytorch-regression-bonus-xgbregressor", "kernel_id": "55020876"}, {"ref": "zinebelhouz/abalone-age-prediction-beginner-friendly", "kernel_id": "55172216"}, {"ref": "affankhan8499/pycaret-abalone-dataset", "kernel_id": "55187327"}, {"ref": "drewmatsumoto/ps4e4-abalone-pycaret-quickstart", "kernel_id": "55798365"}, {"ref": "drewmatsumoto/ps4e4-catboost-feature-engineering", "kernel_id": "55602497"}, {"ref": "drewmatsumoto/ps4e4-only-lightgbm-eda-optuna", "kernel_id": "55305224"}, {"ref": "michaelkamal92/catboost-stratifiedkfold-easy-but-score-0-14762", "kernel_id": "55060189"}, {"ref": "muhammadawaistayyab/ps4e5-xgboost", "kernel_id": "55290354"}, {"ref": "muhammadawaistayyab/ps4e4-random-forest-parameter-tuning-using-optuna", "kernel_id": "55085168"}, {"ref": "muhammadawaistayyab/ps4e4-catboost-optuna", "kernel_id": "55112481"}, {"ref": "muhammadawaistayyab/ps4e4-lgbm-optuna", "kernel_id": "55113819"}, {"ref": "muhammadawaistayyab/ps4e4-neural-network", "kernel_id": "55366770"}, {"ref": "pratyushojha12/xgboost", "kernel_id": "55164232"}, {"ref": "rizwanahmedabbasi/regression-with-abalone-dataset", "kernel_id": "55609264"}, {"ref": "rajendarkatravath/abalone-regression-voting-regressor", "kernel_id": "55256601"}, {"ref": "hasanmehdavi/abalone-dataset-competition-hasan-mehdavi", "kernel_id": "55299832"}, {"ref": "pawankmgupta/abalone-age-prediction", "kernel_id": "55224642"}, {"ref": "gunjan2509/abalone-age-prediction", "kernel_id": "55369458"}, {"ref": "jayalakshmiet/regression-with-an-abalone-dataset", "kernel_id": "55914280"}, {"ref": "amaningle11/lgbm-randomsearchcv-score-0-14752", "kernel_id": "55037275"}, {"ref": "lookitskhushboo/notebookc175d3ddfb", "kernel_id": "55084995"}, {"ref": "pujalibhaumik/predicting-abalone-age", "kernel_id": "55924421"}, {"ref": "bhumitdevni/notebookcfd7188e85", "kernel_id": "55759866"}, {"ref": "alexxxsem/regression-abalone-2", "kernel_id": "55909599"}, {"ref": "nagesh90899/practice-comp", "kernel_id": "55425815"}, {"ref": "sebastienmotionstats/abalone-catboost-analysis", "kernel_id": "55316024"}, {"ref": "yanndep/ensembling-and-data-visualisation", "kernel_id": "55641563"}, {"ref": "mehakiftikhar/shellebrating-success-mastering-abalone-age-pred", "kernel_id": "55304303"}, {"ref": "nzhabchikov/s4e4-xgboost-catboost-lightgbm", "kernel_id": "55891036"}, {"ref": "ismailaliahmed/regression-abalone-dataset", "kernel_id": "55903654"}, {"ref": "chopper53/abalone-dataset-using-catboost-regressor", "kernel_id": "55205860"}, {"ref": "chopper53/regressionwithabalonedataset-using-lgbm", "kernel_id": "55169734"}, {"ref": "chopper53/regressionabalonedataset-using-xgboostregressor", "kernel_id": "55019547"}, {"ref": "josephmargaryan/mlp-from-scratch", "kernel_id": "55380731"}, {"ref": "josephmargaryan/abalone-rings-prediction-deep-learning-made-easy", "kernel_id": "55094918"}, {"ref": "yousseflmt/abalone-age-prediction", "kernel_id": "55384751"}, {"ref": "wassimouledmohamed/abalone-age-prediction-8-different-models", "kernel_id": "55033076"}, {"ref": "adhamelkomy/abalone-compt", "kernel_id": "55297532"}, {"ref": "dhruvsinghchauhan01/regression-with-abalone-dataset", "kernel_id": "55076033"}, {"ref": "ruqayaalzien/abalone-analysis", "kernel_id": "55354227"}, {"ref": "varadkelkar02/abalone-regression", "kernel_id": "55628883"}, {"ref": "karanrajput123/abalone2", "kernel_id": "55905022"}, {"ref": "karanrajput123/regressionabalonedataset", "kernel_id": "55205011"}, {"ref": "erwanmarques/idriss-ellie-erwan-notebook", "kernel_id": "55918840"}, {"ref": "ulysserouard/projet-dc-r-gression-avec-un-ensemble-de-v3", "kernel_id": "55909915"}, {"ref": "zerrouidriss/notebook-m2tl-idriss-erwan-eli", "kernel_id": "55856048"}, {"ref": "zhuoxing0516/rania", "kernel_id": "55740427"}, {"ref": "julienyannick/abalone-dataset-with-votingregressor", "kernel_id": "55913312"}, {"ref": "tobistark/linear-regression-abalone", "kernel_id": "55833971"}, {"ref": "sebastinazamaravils/regression-abalone", "kernel_id": "55866983"}, {"ref": "tannermcgee/predicting-abalone-age", "kernel_id": "55932657"}, {"ref": "cyberdeeplearning/random-f-and-dt", "kernel_id": "55487388"}, {"ref": "louiscavecchi/abi-louis", "kernel_id": "55696740"}, {"ref": "bkanupam/abalone-train-openfe", "kernel_id": "56880428"}, {"ref": "naarku30/cross-validation-voting-regressor", "kernel_id": "56184823"}, {"ref": "ajeetsingh123/abalone-i-extensive-eda", "kernel_id": "56667133"}, {"ref": "ajeetsingh123/abalone-eda-regression-with-pipeline-ann", "kernel_id": "56738949"}, {"ref": "abhijeetrao/abalone-code", "kernel_id": "56448731"}, {"ref": "jaehojang/eda-xgbregression", "kernel_id": "56997722"}, {"ref": "mohamedabder/01-eda-abalone", "kernel_id": "56063419"}, {"ref": "mohamedabder/02-modelisation-abalone", "kernel_id": "56063652"}, {"ref": "dg563kfhfd9/intel-regressor-parttern", "kernel_id": "56602980"}, {"ref": "adejumobidaniel/ann-pytorch", "kernel_id": "56944643"}, {"ref": "ivokolarov/ps-s4-e4-eda-and-ensembling-q1-score", "kernel_id": "56382216"}, {"ref": "kritagya2003/regression-with-abalone-dataset", "kernel_id": "56319075"}, {"ref": "ssyyhh/eda-of-abalone-with-prediction-of-rings", "kernel_id": "56636713"}, {"ref": "jamessuryaputra/flight-to-the-genes", "kernel_id": "56709556"}, {"ref": "sakshisatre/abalone-rings-prediction-stacking-0-14705", "kernel_id": "56066440"}, {"ref": "bishakhapathak/notebookfff6b404f4", "kernel_id": "56647324"}, {"ref": "dancapellupo/abalone-featuring-data-eda-xgboost", "kernel_id": "57112776"}, {"ref": "x1akshay/regression-with-an-abalone-dataset", "kernel_id": "57490665"}, {"ref": "sandeepsharma94169/abalone-regression-random-experiments-0-164-best", "kernel_id": "57038042"}, {"ref": "maxuhl98/basic-gbm", "kernel_id": "57256917"}, {"ref": "dmitriyleb/first-example-ipynb", "kernel_id": "57370480"}, {"ref": "cardata/abalor-data-analysis-02", "kernel_id": "57124177"}, {"ref": "cardata/abalor-data-analysis-01", "kernel_id": "57084066"}, {"ref": "shenoudasafwat/ps4e4-deep-dive-with-lightgbm-eda-optuna", "kernel_id": "57370325"}, {"ref": "shanu1988/regression-project", "kernel_id": "58465236"}, {"ref": "iamparadox/abalone-age-prediction-ols-v-s-poisson-regression", "kernel_id": "58600471"}, {"ref": "bhavyaprakash02/abalone-data", "kernel_id": "58929370"}, {"ref": "maxuhl98/improved-gbm", "kernel_id": "58124026"}, {"ref": "maxuhl98/openfe-xgboost", "kernel_id": "58743813"}, {"ref": "ishanmathurkaggle28/regression-best-approach", "kernel_id": "58050930"}, {"ref": "funxexcel/dsm-abalone-base-pipeline-1", "kernel_id": "59355266"}, {"ref": "brahimy/abalone-regression", "kernel_id": "59476857"}, {"ref": "hikmetdevlet/12-prediction-abalone-age", "kernel_id": "60905993"}, {"ref": "sajjadhajian/ps4e4-feature-engineering", "kernel_id": "60163780"}, {"ref": "samiraalipour/predict-the-age-of-abalone", "kernel_id": "60578440"}, {"ref": "oliviagarcia2/abalone-regression-lgb-xgb-cat-0-14569", "kernel_id": "60183133"}, {"ref": "darrentanzhijie/dnn-regression-with-abalone", "kernel_id": "60299661"}, {"ref": "nehagupta09/regression-with-abalone-dataset", "kernel_id": "61213027"}, {"ref": "akshatsharma0610/abalone-dataset-prediction", "kernel_id": "62750646"}, {"ref": "kqyan1990/abalone-prediction-a-complete-notebook", "kernel_id": "63006184"}, {"ref": "mohammedmohsen0404/proj8-abalone-dataset", "kernel_id": "63363627"}, {"ref": "tinsuabdeta/regression-with-abalone-practice", "kernel_id": "64589765"}, {"ref": "surajwate/s4e4-abalone-catboost", "kernel_id": "65790129"}, {"ref": "tinsuabdeta/polynomial-and-spline-regression-with-abalone", "kernel_id": "65409986"}, {"ref": "metinhsimimi/regression-with-an-abalone-dataset", "kernel_id": "65550370"}, {"ref": "ghimirerajan/3-rghimire-tim8555-pcaregression-and-random-forest", "kernel_id": "65455147"}, {"ref": "erenkonta/abalone-veri-seti-ile-yas-tahmini-regresyon", "kernel_id": "69063369"}, {"ref": "mahamadoumdiallo/abalone-dataset-prediction", "kernel_id": "69322413"}, {"ref": "mahamadoumdiallo/notebook3364089a6a", "kernel_id": "69172514"}, {"ref": "maedekalantari/the-age-of-abalone", "kernel_id": "72908678"}, {"ref": "elizabethmaciasphd/abalone-rings-multiple-linear-regression", "kernel_id": "72464961"}, {"ref": "phucddo/notebook98f9da61c3", "kernel_id": "73594400"}, {"ref": "phucddo/notebook74ceb19ea9", "kernel_id": "73592453"}, {"ref": "phucddo/notebook1951c66c63", "kernel_id": "73581347"}, {"ref": "phucddo/notebookb6131921fd", "kernel_id": "73537339"}, {"ref": "phucddo/notebookd4710082a9", "kernel_id": "73701289"}, {"ref": "rmevans2024/evansr-dds-8555-3-kagglesub1", "kernel_id": "75259180"}, {"ref": "alinadantonov/notebookbd2d84c181", "kernel_id": "76876933"}, {"ref": "ldausl/abalone-age-xgb-gb-mlp-lgbm-ensemble", "kernel_id": "76307743"}, {"ref": "ldausl/ps4e4-abalone-regression-baseline", "kernel_id": "76307165"}, {"ref": "ldausl/ps4e4-abalone-age-prediction-regression", "kernel_id": "76307693"}, {"ref": "abdallah11/regression-tutorial", "kernel_id": "77958983"}, {"ref": "abdallaellaithy/predicting-abalone-age-data-transformations", "kernel_id": "78055405"}, {"ref": "abdulhadyibrahim/abalone-age-prediction-with-random-forest", "kernel_id": "78064702"}, {"ref": "mesutbagl/regression-with-an-abalone-dataset", "kernel_id": "79428324"}, {"ref": "tedrosh/regression-models-using-lasso-and-pcr", "kernel_id": "80807493"}, {"ref": "rukuri/2025aai-03exb", "kernel_id": "81884860"}, {"ref": "sotaaoki/202504501exa", "kernel_id": "81964050"}, {"ref": "suzukitakumi/2025aai-03exb", "kernel_id": "81965236"}, {"ref": "waymanblue/03exerciseb", "kernel_id": "81959735"}, {"ref": "tsuyoshifukushima/2025aai-03exb", "kernel_id": "81891832"}, {"ref": "akamaruuuussssss2/notebooka1af902338", "kernel_id": "81501107"}, {"ref": "unokoki/d3k3aaaaaa", "kernel_id": "82114710"}, {"ref": "kyosuke0/2025aai-03exb", "kernel_id": "82222800"}, {"ref": "yuukikawai/notebookd36c5776e7", "kernel_id": "82098120"}, {"ref": "sheepsleep/regression-with-an-abalone", "kernel_id": "82748400"}, {"ref": "rikiuchida/2025aai-03exb", "kernel_id": "82349481"}, {"ref": "dotohoi/2025aai-03exb", "kernel_id": "82563632"}, {"ref": "cajiki18/abalone-ex03b", "kernel_id": "82742519"}, {"ref": "snd072/2025aai-03exb", "kernel_id": "82749672"}, {"ref": "komody/2025aai-03exb-ipynb", "kernel_id": "82060284"}, {"ref": "duckduckshiba/notebooka82b286daf", "kernel_id": "82029543"}, {"ref": "seowataru/regression-with-an-abalone-dataset", "kernel_id": "82713027"}, {"ref": "mizzn0/2025ai03exb", "kernel_id": "82730605"}, {"ref": "pigpork/03exercises", "kernel_id": "82619778"}, {"ref": "sahara1227/regression-dataset-01", "kernel_id": "82549265"}, {"ref": "koyatamari/2025aai-03exb", "kernel_id": "82224923"}, {"ref": "gucci711/2025aai-03exb", "kernel_id": "82729958"}, {"ref": "taikikaramushizawa/notebook0dde94c9cc", "kernel_id": "82689438"}, {"ref": "yamauchiyuta0718/2025aai-03exb", "kernel_id": "82643807"}, {"ref": "ssssmd/notebook455cb765a1", "kernel_id": "82551541"}, {"ref": "kitaaa1223/notebook1f85b5cf26", "kernel_id": "82719898"}, {"ref": "kanta12343/notebook6cbd787f8f", "kernel_id": "82057172"}, {"ref": "wangyifei9988/ai-c02-rpb-v2", "kernel_id": "82689309"}, {"ref": "masato0207/ex03b", "kernel_id": "82729679"}, {"ref": "reijikato/2025aai-03exb", "kernel_id": "82221186"}, {"ref": "sokita4/2025aai-03exb", "kernel_id": "82043114"}, {"ref": "kotarowithconan/regression-with-an-abalone-dataset", "kernel_id": "82205375"}, {"ref": "yukino0420/2025aai-03exb", "kernel_id": "82530318"}, {"ref": "nakazawayuuto/2025aai-03exb", "kernel_id": "82538045"}, {"ref": "ktaimp/notebook291ca3c10b", "kernel_id": "82362345"}, {"ref": "yusaku86/notebookadb3a08406", "kernel_id": "82723979"}, {"ref": "deriki/kadai3-b", "kernel_id": "82712256"}, {"ref": "yanaseyukio/2025aai-03exb", "kernel_id": "82617860"}, {"ref": "ryoyaguchi/notebook0671dd5fb4", "kernel_id": "82750260"}, {"ref": "yanaseyukio/last-work", "kernel_id": "86165057"}, {"ref": "octopuscurry/abalone", "kernel_id": "87974134"}, {"ref": "waymanblue/finald", "kernel_id": "87519334"}, {"ref": "yamauchiyuta0718/24rmd46-aaiex", "kernel_id": "87262110"}, {"ref": "tsuyoshifukushima/test-cv", "kernel_id": "87501731"}, {"ref": "yusaku86/ex-final-d", "kernel_id": "87465692"}, {"ref": "yusaku86/ex-final-d2", "kernel_id": "87535938"}, {"ref": "minsung813/day4-abalone-dataset", "kernel_id": "88080831"}, {"ref": "daveli0813/abalone-comp-davis", "kernel_id": "88145109"}, {"ref": "ouzhanakr/late-submission-ps-s4e4-xgboost-optuna", "kernel_id": "89296704"}, {"ref": "olgajackson/abalone-competition-submission", "kernel_id": "91207826"}, {"ref": "olgajackson/non-linear-models-for-abalone-data", "kernel_id": "92677221"}, {"ref": "olgajackson/abalone-competition-submission-part-2", "kernel_id": "92013212"}, {"ref": "samlakhmani/s4e4-vanilla-deeplearning-beginner-friendly", "kernel_id": "94458265"}, {"ref": "samlakhmani/s4e4-deeplearning-with-oof-strategy", "kernel_id": "94589379"}, {"ref": "ansarimohammedafzal3/abalone-age-prediction", "kernel_id": "96847730"}, {"ref": "igorvolianiuk/tvorcheskaya-rabota", "kernel_id": "104884144"}, {"ref": "leyuzakoksoken/abalone-age-prediction-ridge-regression", "kernel_id": "108371304"}, {"ref": "osmanozcanli/regression-with-an-abalone-dataset", "kernel_id": "110227486"}, {"ref": "wakizashe/abalone-age-prediction-neural-network-regression", "kernel_id": "114350770"}, {"ref": "omeraydin1/ring-dl-prediction", "kernel_id": "115259769"}, {"ref": "nina2025/ps-s4e4-polar-h-blend", "kernel_id": "115508386"}, {"ref": "tugcebasyigit/regression-with-an-abalone-dataset", "kernel_id": "116372981"}, {"ref": "basaktamer/regression-with-an-abalone-dataset", "kernel_id": "119364958"}, {"ref": "samratrm/abalone-regression", "kernel_id": "121417919"}, {"ref": "zqx960151285/regression-with-an-abalone-dataset", "kernel_id": "129695864"}, {"ref": "michaelenoh/predicting-abalone-age-with-regression", "kernel_id": "129389566"}, {"ref": "michaelenoh/predicting-abalone-age-with-non-linear-regression", "kernel_id": "130251108"}, {"ref": "michaelenoh/abalone-nonlinear-regression-part-ii", "kernel_id": "130849758"}]}
{"competition_id": "72510", "kernels": []}
{"competition_id": "72511", "kernels": []}
{"competition_id": "72525", "kernels": [{"ref": "turmaganbetov/task-c", "kernel_id": "53910084"}, {"ref": "periabd/notebooke565f212db", "kernel_id": "53239199"}, {"ref": "bekzatturganbek/implementing-logistic-regression", "kernel_id": "54009193"}, {"ref": "mesutbagl/imdb-review-sentiment-analysis", "kernel_id": "79318172"}]}
{"competition_id": "72550", "kernels": [{"ref": "vikascc28/notebook-vikas-mlware24", "kernel_id": "52787252"}, {"ref": "fabihamakhdoomi/notebook8742cff902", "kernel_id": "52728282"}, {"ref": "saketaryan/fork-of-notebook8742cff902", "kernel_id": "52752853"}]}
{"competition_id": "72575", "kernels": []}
{"competition_id": "72585", "kernels": []}
{"competition_id": "72591", "kernels": []}
{"competition_id": "72620", "kernels": []}
{"competition_id": "72622", "kernels": []}
{"competition_id": "72635", "kernels": []}
{"competition_id": "72637", "kernels": []}
{"competition_id": "72640", "kernels": []}
{"competition_id": "72664", "kernels": []}
{"competition_id": "72698", "kernels": []}
{"competition_id": "72701", "kernels": []}
{"competition_id": "72714", "kernels": []}
{"competition_id": "72767", "kernels": []}
{"competition_id": "72800", "kernels": []}
{"competition_id": "72813", "kernels": []}
{"competition_id": "72815", "kernels": [{"ref": "drninjabatman/breast-cancer", "kernel_id": "53761839"}]}
{"competition_id": "72819", "kernels": []}
{"competition_id": "72997", "kernels": []}
{"competition_id": "72998", "kernels": []}
{"competition_id": "73027", "kernels": []}
{"competition_id": "73028", "kernels": []}
{"competition_id": "73034", "kernels": [{"ref": "seonghojeong2/iris-competetion", "kernel_id": "69338816"}]}
{"competition_id": "73035", "kernels": []}
{"competition_id": "73038", "kernels": []}
{"competition_id": "73044", "kernels": []}
{"competition_id": "73047", "kernels": [{"ref": "sushmit0109/long-term-spectral-average-ltsa-ec5564", "kernel_id": "42645823"}, {"ref": "smjishanulislam/quickstart-with-whisper-small", "kernel_id": "53960719"}, {"ref": "reasat/pseudolabeling-step-1-download-speech-audio", "kernel_id": "54100674"}, {"ref": "mbmmurad/eda-resources-and-submission", "kernel_id": "54088851"}, {"ref": "biplabkumarsarkar/asr-for-regional-dialects", "kernel_id": "54024146"}, {"ref": "abdullahsaihan/bengali-asr", "kernel_id": "54201139"}, {"ref": "istiaqahmedfahad/datadojo-audiomentation", "kernel_id": "54783966"}, {"ref": "istiaqahmedfahad/datadojo-0-77123-inference", "kernel_id": "54195537"}, {"ref": "istiaqahmedfahad/datadojo-validation-set-test", "kernel_id": "54364787"}, {"ref": "istiaqahmedfahad/datadojo-eda-audio-processing", "kernel_id": "54280084"}, {"ref": "mahdiislam/eda-on-train-set", "kernel_id": "54235343"}, {"ref": "mdrezuwanhassan/fix-csv", "kernel_id": "54062839"}, {"ref": "fabinahian/bengali-speech-recognition-dialect-diversity", "kernel_id": "54312094"}, {"ref": "samratabduljalil/inferencing-with-daeatgd-model-base-on-whisper", "kernel_id": "54135101"}, {"ref": "samratabduljalil/bengali-speech-recognition-inference", "kernel_id": "54025730"}, {"ref": "samratabduljalil/training-team-beef-lover-2-0-asr", "kernel_id": "54026474"}, {"ref": "samratabduljalil/bengali-speech-recognition-training-with-whisper", "kernel_id": "54022627"}, {"ref": "smjishanulislam/quickstart-finetuning-large-asr-models-using-lora", "kernel_id": "54095042"}, {"ref": "jakir57/ai4bharat-indicwav2vec-v1-bengali", "kernel_id": "54999555"}, {"ref": "jakir57/bekar-prediction-with-whisper-medium", "kernel_id": "54116576"}, {"ref": "kamruzzamanasif/datadojo-whisper-medium-training-notebook", "kernel_id": "54327151"}, {"ref": "kamruzzamanasif/bengali-text-post-processing", "kernel_id": "54195610"}, {"ref": "sifatsikder/datadojo-training-notebook", "kernel_id": "54488988"}, {"ref": "piratemeow/bengali-speech-recognition-inference", "kernel_id": "54375554"}, {"ref": "jahid24/bekar-train-wer-and-audio-length-calculation", "kernel_id": "54805856"}, {"ref": "jahid24/bekar-test-data-duration-calculation", "kernel_id": "54833019"}, {"ref": "sai01singha/asr-artilligence", "kernel_id": "54070300"}, {"ref": "sushmit0109/bengali-sr-wav2vec-v1-bengali-training", "kernel_id": "55721749"}, {"ref": "abdullaharean/du-metrorail-inference", "kernel_id": "55393379"}, {"ref": "abdullaharean/du-metrorail-training", "kernel_id": "55393434"}, {"ref": "istiaqahmedfahad/create-dataset", "kernel_id": "55256786"}, {"ref": "rafihassan/eda-and-training-notebook-jibonananda-das", "kernel_id": "55406232"}, {"ref": "brainiac2677/detailed-solution-approach-black", "kernel_id": "55304513"}, {"ref": "samratabduljalil/district-wise-inference-2-0-asr", "kernel_id": "55387491"}, {"ref": "samratabduljalil/inferencing-team-beef-lover-2-0-asr", "kernel_id": "55389105"}, {"ref": "mahfuzulkabirsourav/0-68388-inference", "kernel_id": "55354271"}, {"ref": "jakir57/bekar-0-76483-inference", "kernel_id": "55355245"}, {"ref": "jakir57/bekar-training-notebook", "kernel_id": "55352706"}, {"ref": "sajjadfc13/semanticcuetsync-0-76412-inference", "kernel_id": "55357174"}, {"ref": "sajjadfc13/semanticcuetsync-0-76412-training", "kernel_id": "55225366"}, {"ref": "ashrafulislamparan/semanticcuetsync-0-76412-eda", "kernel_id": "55374233"}, {"ref": "mobin555/datadynamos-0-81197-inference-notebook", "kernel_id": "55386114"}, {"ref": "mobin555/datadynamos-training-notebook", "kernel_id": "55386691"}, {"ref": "jakir057/5gram-nmt-cd", "kernel_id": "55302399"}, {"ref": "sushmit0109/voice-activity-detection-vad-analysis", "kernel_id": "56304173"}, {"ref": "sushmit0109/extracting-smile-features", "kernel_id": "56519685"}, {"ref": "preyanka/eda-resources-and-submission", "kernel_id": "60984858"}, {"ref": "tawsiftashwardipto/audio-test", "kernel_id": "60653128"}, {"ref": "mdsazzad1779/training-whisper", "kernel_id": "71972343"}, {"ref": "tawsiftashwardipto/semi-supervised-bangla", "kernel_id": "71273421"}, {"ref": "imsajid/speech-text-ipa", "kernel_id": "82760010"}, {"ref": "imsajid/jibanananda-das-0-64676-inference-notebook", "kernel_id": "86032938"}, {"ref": "rockydewan/bangla-regional-dialects-data-cleanl", "kernel_id": "95906385"}, {"ref": "rlsalvi/notebook12034275ba", "kernel_id": "98650152"}, {"ref": "atkiafarzanaesha/bangla-asr", "kernel_id": "123026472"}, {"ref": "farzanafaizaborno/notebook2baea1e3d9", "kernel_id": "129789765"}]}
{"competition_id": "73065", "kernels": [{"ref": "gamirandads/tweets-sentanalysis-tfidfvectorizer-and-lightgbm", "kernel_id": "53307042"}, {"ref": "gabrielluizone/sentiment-classification-with-spacy", "kernel_id": "53209904"}, {"ref": "gabrielluizone/tweet-text-mining-with-nltk", "kernel_id": "54856131"}, {"ref": "thiagomantuani/brazilian-tweet-sentiment-get-started", "kernel_id": "60501650"}, {"ref": "arnavmishra6996/bart-model", "kernel_id": "61831352"}, {"ref": "luiscrmartins/brazilian-tweet-sentiment-using-bertimbau-model", "kernel_id": "75464180"}, {"ref": "senasudemir/brazilian-tweet-sentiment-analysis", "kernel_id": "76711887"}, {"ref": "penbenur/brazilian-tweet-sentiment-analysis", "kernel_id": "80225050"}, {"ref": "ugurcan95/brazilian-tweet-sentiment-analysis", "kernel_id": "81130272"}, {"ref": "bilgingunes/brazilian-tweet-sentiment-analysis-challenge", "kernel_id": "84034786"}]}
{"competition_id": "73068", "kernels": []}
{"competition_id": "73074", "kernels": [{"ref": "mustafakeser4/baseline-autogluon", "kernel_id": "53284810"}, {"ref": "brooklynmills/project-1-predictive-analytics", "kernel_id": "53354375"}, {"ref": "danielgalili/project-1-predictive-analytics", "kernel_id": "53358862"}, {"ref": "jrkhops/predictive-analytics-project-1", "kernel_id": "53460061"}, {"ref": "eastonlarson/gvu-spring-project-1", "kernel_id": "53462685"}, {"ref": "codyjanderson/graduate-prediction", "kernel_id": "53465927"}]}
{"competition_id": "73084", "kernels": []}
{"competition_id": "73087", "kernels": []}
{"competition_id": "73099", "kernels": []}
{"competition_id": "73110", "kernels": [{"ref": "manas28/bank-client-prediction-pytorch-ann", "kernel_id": "53292288"}]}
{"competition_id": "73130", "kernels": []}
{"competition_id": "73131", "kernels": [{"ref": "xacker/decision-tree-eda-yingqin", "kernel_id": "53844593"}]}
{"competition_id": "73154", "kernels": [{"ref": "guru001/itmo-eda", "kernel_id": "53486970"}, {"ref": "daniltirskikh/notebook83713e8c81", "kernel_id": "55236825"}]}
{"competition_id": "73178", "kernels": []}
{"competition_id": "73182", "kernels": [{"ref": "kvsbmstu/baseline-classification-sepsis", "kernel_id": "53366835"}, {"ref": "mehtahilda/baseline-classification-sepsis", "kernel_id": "53397342"}, {"ref": "albinach2000/baseline-classification-sepsis", "kernel_id": "53388097"}, {"ref": "polinagorbunova/baseline-classification-sepsis-5bcf1c", "kernel_id": "53705754"}, {"ref": "damedelion/baseline-classification-sepsis", "kernel_id": "53394858"}, {"ref": "mikisr/saridis-baseline-classification-sepsis", "kernel_id": "53880817"}, {"ref": "billyartarmstrong/baseline-classification-sepsis", "kernel_id": "53385652"}, {"ref": "polinamurlina/baseline-classification-sepsis-copy", "kernel_id": "53441310"}, {"ref": "hinches/baseline-classification-sepsis-7", "kernel_id": "53672150"}, {"ref": "timurdzhumaniiazov/baseline-classification-sepsis", "kernel_id": "54022363"}]}
{"competition_id": "73183", "kernels": []}
{"competition_id": "73200", "kernels": []}
{"competition_id": "73213", "kernels": []}
{"competition_id": "73214", "kernels": []}
{"competition_id": "73231", "kernels": [{"ref": "evilpsycho42/llamacpp-mixtral-8x7b-instruct-v0-1-q4-k-m", "kernel_id": "49702104"}, {"ref": "dschettler8845/let-s-learn-together-deepmind-s-alphageometry", "kernel_id": "49755119"}, {"ref": "sergeifironov/math-ai-playground", "kernel_id": "53749177"}, {"ref": "devanshu125/mistral-fine-tune-21k-problems-data", "kernel_id": "53936223"}, {"ref": "thedrcat/aimo-mixtral-baseline", "kernel_id": "53747323"}, {"ref": "huikang/code-interpreter-baseline", "kernel_id": "53932145"}, {"ref": "olyatsimboy/aimo-zero-shot-sc-deepseekmath", "kernel_id": "53974547"}, {"ref": "olyatsimboy/aimo-openmath-mistral-baseline", "kernel_id": "53822852"}, {"ref": "ipythonx/ai-mathematical-olympiad-with-gemini-pro", "kernel_id": "53853137"}, {"ref": "xxxxxxxxxxx/aimo-model2model-inference", "kernel_id": "53808423"}, {"ref": "jazivxt/mathmagic-land", "kernel_id": "53797418"}, {"ref": "mpwolke/what-is-1-1-gemma", "kernel_id": "53763119"}, {"ref": "glebkum/chain-of-thought-and-detailed-solutions", "kernel_id": "53787703"}, {"ref": "markwijkhuizen/deepseek-math-7b-instruct-bfloat16-baseline", "kernel_id": "53951814"}, {"ref": "asarvazyan/aimo-starter-with-mistral", "kernel_id": "53750839"}, {"ref": "mcpenguin/aimo-datasets-eda", "kernel_id": "53839247"}, {"ref": "ryanet/aimo-wizardmath-baseline-2-50", "kernel_id": "53786595"}, {"ref": "abdullahmeda/2-sharded-meta-llama3-70b-instruct", "kernel_id": "53874339"}, {"ref": "abdullahmeda/3-sharded-meta-llama3-70b-instruct", "kernel_id": "53874447"}, {"ref": "abdullahmeda/4-sharded-meta-llama3-70b-instruct", "kernel_id": "53874516"}, {"ref": "abdullahmeda/5-sharded-meta-llama3-70b-instruct", "kernel_id": "53874592"}, {"ref": "abdullahmeda/6-sharded-meta-llama3-70b-instruct", "kernel_id": "53874657"}, {"ref": "abdullahmeda/7-sharded-meta-llama3-70b-instruct", "kernel_id": "53874713"}, {"ref": "abdullahmeda/8-sharded-meta-llama3-70b-instruct", "kernel_id": "53874801"}, {"ref": "abdullahmeda/1-sharded-meta-llama3-70b-instruct", "kernel_id": "53859975"}, {"ref": "abdullahmeda/0-sharded-meta-llama3-70b-instruct", "kernel_id": "53803461"}, {"ref": "juanmerinobermejo/aimo-starter-notebook-mixtral-8x7b", "kernel_id": "53824865"}, {"ref": "juanmerinobermejo/aimo-starter-notebook-gemma-7b", "kernel_id": "53767839"}, {"ref": "subhamsarkar2002/aimo-tora", "kernel_id": "53804145"}, {"ref": "meruvulikith/aimo-gemma-instruct-2b-finetuning", "kernel_id": "53797771"}, {"ref": "shadesh/ai-mathematical-olympiad-base-line", "kernel_id": "53794538"}, {"ref": "nikolenkosergei/math-ai-playground", "kernel_id": "53784820"}, {"ref": "anshulgupta1502/aimo-intro-with-gemma-7b-instruct", "kernel_id": "53759448"}, {"ref": "ahmedeldesoky284/aimo-openmath-mistral-baseline", "kernel_id": "53851268"}, {"ref": "sircausticmail/openmath-mistral-baseline-explained", "kernel_id": "54655363"}, {"ref": "sircausticmail/aimo-mixtral-baseline-explained", "kernel_id": "54771950"}, {"ref": "sircausticmail/new-evolution-of-code", "kernel_id": "54771979"}, {"ref": "sidcodegg/a-quick-guide-to-setting-up-models-in-langchain", "kernel_id": "54486821"}, {"ref": "ufownl/aimo-codegemma-baseline", "kernel_id": "54865487"}, {"ref": "ufownl/aimo-lua-cgemma-environment", "kernel_id": "54863820"}, {"ref": "vbookshelf/exp31-aimo-download-faiss-a-sentence-trans-whl", "kernel_id": "54473994"}, {"ref": "dschettler8845/aimo-let-s-learn-together", "kernel_id": "54647010"}, {"ref": "bsmit1659/aimo-vllm-accelerated-tot-sc-deepseekmath", "kernel_id": "54158677"}, {"ref": "jazivxt/tinyllama-llamafile-test-on-cpu", "kernel_id": "54236589"}, {"ref": "jazivxt/deepseek-math", "kernel_id": "54206116"}, {"ref": "jazivxt/open-math-mistral", "kernel_id": "54497206"}, {"ref": "elvenmonk/mammoth", "kernel_id": "54887187"}, {"ref": "quan0095/submission-deepseekmath7b", "kernel_id": "54170577"}, {"ref": "quan0095/more-diversity-in-output-improve-score", "kernel_id": "54020651"}, {"ref": "lucyellu/more-diversity-in-output-improve-score-09fa14", "kernel_id": "54457193"}, {"ref": "lucyellu/more-diversity-in-output-improve-score-312d44", "kernel_id": "54460739"}, {"ref": "lucyellu/more-diversity-in-output-improve-score", "kernel_id": "54447437"}, {"ref": "lucyellu/increased-limit-deepseekmath-augment-prompt", "kernel_id": "54380701"}, {"ref": "lucyellu/increased-token-limit-with-custom-tool-instruction", "kernel_id": "54328311"}, {"ref": "dhirajmwagh1111/solve-maths-using-gpt-2", "kernel_id": "54161155"}, {"ref": "fluffy0223/jp-mixtral8x7b-code-interpreter-baseline", "kernel_id": "54822823"}, {"ref": "keitashimizu21/aimo-baseline", "kernel_id": "54207574"}, {"ref": "anrenk/aimo-llm-usage-clean-code", "kernel_id": "54593879"}, {"ref": "grigorytrofimov/aimo-deepseek-coder-repl", "kernel_id": "54551221"}, {"ref": "wangyuren/ai-mathematical-olympiad-gemma", "kernel_id": "54421000"}, {"ref": "tomaszszyrowski/aimo-small-model-submission", "kernel_id": "54974569"}, {"ref": "tomaszszyrowski/aimo-most-basic-submission", "kernel_id": "54692672"}, {"ref": "mushfirat/aimo-agent-workflow", "kernel_id": "54306647"}, {"ref": "bunny11/ai-mathematical-olympiad", "kernel_id": "54793121"}, {"ref": "mos3santos/olimp-ada-de-matem-tica-de-ia", "kernel_id": "54631917"}, {"ref": "dominic789654/aimo-rho-1-model-new-microsoft-math-model", "kernel_id": "54556027"}, {"ref": "jimmyisme1/aixcoder-aixcoder-7b-base", "kernel_id": "54333594"}, {"ref": "sulphatet/data-cleaning-latex-to-text", "kernel_id": "54592528"}, {"ref": "jatinsinghsagoi/aimo-24-finetuned-deepseek-math-inference", "kernel_id": "54613119"}, {"ref": "kevinamiri/aimo-zero-shot-sc-mmos-deepseekmath", "kernel_id": "54853356"}, {"ref": "maggiexiu/tune-deepseek-zero-shot-15", "kernel_id": "54488186"}, {"ref": "robertpatience/nncad-test1", "kernel_id": "54763707"}, {"ref": "bhatrushil/batchedgeneration", "kernel_id": "54743844"}, {"ref": "simonveitner/aimo-zero-shot-sc-mmos-deepseekmath-augment-prompt", "kernel_id": "54269603"}, {"ref": "kosasihcorp/mathwiz-mindbender-notebook", "kernel_id": "54606324"}, {"ref": "wanghanbinpanda/eurus-cot", "kernel_id": "54347966"}, {"ref": "andreaskaufmann/ai-math-gpt-4", "kernel_id": "54088355"}, {"ref": "shubhamjariwala/aimo-model-solved", "kernel_id": "54603566"}, {"ref": "colewelkins/natural-language-and-code-integration", "kernel_id": "54890287"}, {"ref": "nileshiq/codes-ai-mathematical-olympiad", "kernel_id": "54539415"}, {"ref": "duxxducis/pure-rng-v2", "kernel_id": "54836436"}, {"ref": "saurabhtiwari13/notebookfcc30f0b2e", "kernel_id": "54159478"}, {"ref": "nikolenkosergei/aimo-zero-shot-sc-mmos-deepseekmath-augment-prompt", "kernel_id": "54605095"}, {"ref": "anshulgupta1502/wizardmath-7b-using-fewshot-prompting", "kernel_id": "54495574"}, {"ref": "anshulgupta1502/aimo-using-llemma-7b", "kernel_id": "54460588"}, {"ref": "anshulgupta1502/aimo-intro-with-microsoft-tora", "kernel_id": "54137260"}, {"ref": "anshulgupta1502/aimo-intro-with-llema-7b", "kernel_id": "54120254"}, {"ref": "shaminuzzamanbhuiyan/deepseek-math", "kernel_id": "54612838"}, {"ref": "inszva/deepseekmath7brl-with-rag-self-consistent", "kernel_id": "54199698"}, {"ref": "fibleep/dspy-deepseek-math", "kernel_id": "54771788"}, {"ref": "vatsadev/aimo-zero-shot-sc-mmos-deepseekmath-augment-prompt", "kernel_id": "54469767"}, {"ref": "wickkey2/mixtral-code-interpretor-with-python-test-case", "kernel_id": "54581964"}, {"ref": "xisaaxx/test-notebook", "kernel_id": "54229568"}, {"ref": "utsavsinghal2604/natural-language-and-code-integration", "kernel_id": "54662202"}, {"ref": "hollylee01/new-api-for-both-test-data-and-train-csv", "kernel_id": "54529125"}, {"ref": "shahik15/openmath-mistral", "kernel_id": "54798219"}, {"ref": "jeffersusus/pure-rng", "kernel_id": "54654945"}, {"ref": "jeffersusus/aimo-zero-shot-sc-mmos-deepseekmath-augment-prompt", "kernel_id": "54441921"}, {"ref": "roschildrui/simple-start", "kernel_id": "54139703"}, {"ref": "yujansaya/llemma-llemma-solve-my-problema", "kernel_id": "54141184"}, {"ref": "makimakiai/jp-ai-mathematical-olympiad", "kernel_id": "54630979"}, {"ref": "makimakiai/deepseek-math-jp", "kernel_id": "54631857"}, {"ref": "makimakiai/gemma", "kernel_id": "54659803"}, {"ref": "ak1bot/pure-rng", "kernel_id": "54647372"}, {"ref": "javieraguedes/deepseek-and-mistral", "kernel_id": "54882797"}, {"ref": "logiclab/llama3-infer", "kernel_id": "54995748"}, {"ref": "logiclab/finetune", "kernel_id": "54995778"}, {"ref": "ironbar/mock-aimo-env-with-dataframe", "kernel_id": "55610132"}, {"ref": "nayjest/gigabenchmark-llm-accuracy-math-problems", "kernel_id": "55088300"}, {"ref": "nayjest/util-script-aimo-api-with-any-csv", "kernel_id": "55591544"}, {"ref": "nayjest/bl-apiv2-microcore-chain-frame-1-pass-score-9", "kernel_id": "55594914"}, {"ref": "eabdullin/mathgenie-interlm-20b-interactive-code-running", "kernel_id": "55610912"}, {"ref": "eabdullin/chain-of-code-deepseekmath-7b", "kernel_id": "55024842"}, {"ref": "unicorncharm/aimo-zero-shot-sc-mmos-deepseekmath", "kernel_id": "55040725"}, {"ref": "ufownl/aimo-few-shot-examples", "kernel_id": "55769411"}, {"ref": "ufownl/aimo-codegemma-multi-solving", "kernel_id": "55789334"}, {"ref": "ufownl/aimo-codegemma-gpu-baseline", "kernel_id": "55635786"}, {"ref": "alexzxie/aimo-deepseek-math-rl-test-for-submission", "kernel_id": "55945793"}, {"ref": "ryanholbrook/aimo-submission-example", "kernel_id": "55568501"}, {"ref": "redix8/is-deepseekmath-reliable", "kernel_id": "55126519"}, {"ref": "alexandervc/spin-off-real-math-problem", "kernel_id": "55133234"}, {"ref": "alexandervc/deepseekmath-solution-explained-for-beginners", "kernel_id": "55093055"}, {"ref": "ikercb/deepseek-math-7b-instruct-bfloat16-baseline", "kernel_id": "55025662"}, {"ref": "harrytheorange/mathgenie-few-shot", "kernel_id": "55776964"}, {"ref": "abdurrafae/aimo-api-for-train-dataset", "kernel_id": "55622795"}, {"ref": "abdurrafae/improved-code-interpretation", "kernel_id": "55042215"}, {"ref": "mbmmurad/submission-with-the-best-nb-new-api", "kernel_id": "55582824"}, {"ref": "awsaf49/aimo-kerasnlp-starter", "kernel_id": "55036242"}, {"ref": "staratnyte/llama3-8b", "kernel_id": "55074719"}, {"ref": "tomooinubushi/data-augmentation-for-model-evaluation", "kernel_id": "55533867"}, {"ref": "rahulsingh04/gemma-model-with-lora-technique", "kernel_id": "55666086"}, {"ref": "zacharyluscher/aimo-zero-shot-sc-mmos-deepseekmath", "kernel_id": "55740686"}, {"ref": "woosungyoon/aimo-train-problem-solution", "kernel_id": "55052970"}, {"ref": "tomaszszyrowski/aimo-tf-basic-from-scratch", "kernel_id": "55197795"}, {"ref": "henryjavier/aimo-competition-kerasnlp-end-solution", "kernel_id": "55634835"}, {"ref": "henryjavier/aimo-competition-kerasnlp-solution", "kernel_id": "55602095"}, {"ref": "ninaragav/baseline", "kernel_id": "55688153"}, {"ref": "nabojyotipandey/gemma-model-with-lora-technique", "kernel_id": "55700444"}, {"ref": "fadhaaali/ai-mathematical-olympiad-beginner-notebook", "kernel_id": "55378699"}, {"ref": "owaismohammadmakroo/task-aimo", "kernel_id": "55962912"}, {"ref": "prothomeshmistry/ai-mathematical-olympiad-by-prathamesh-mistry", "kernel_id": "55451750"}, {"ref": "dnyaneshwalwadkar/submission-with-the-best-nb-new-api", "kernel_id": "55816932"}, {"ref": "ikarun/mistralxaimo", "kernel_id": "55595382"}, {"ref": "shadesh/ai-mathematical-olympiad-progress-prize-1", "kernel_id": "55034056"}, {"ref": "shadesh/ai-mathematical-olympiad-progress-prizev2", "kernel_id": "55916348"}, {"ref": "cescofran/deepseekmath-paper-annotated-introduction", "kernel_id": "55226682"}, {"ref": "anshulgupta1502/aimo-llama-3", "kernel_id": "55040293"}, {"ref": "rish04/aimo-step-back-prompting", "kernel_id": "55714874"}, {"ref": "jeffersusus/submission-with-the-best-nb-new-api", "kernel_id": "55784889"}, {"ref": "jeffersusus/aimo-zero-shot-sc-mmos-deepseekmath-e3248b", "kernel_id": "55073963"}, {"ref": "makimakiai/jp-deepseekmath-solution-explained-for-beginners", "kernel_id": "55368169"}, {"ref": "makimakiai/python", "kernel_id": "55605275"}, {"ref": "makimakiai/jp-aimo-submission-example-gemma-instruct-2b", "kernel_id": "55607504"}, {"ref": "makimakiai/kagglehub-gemma", "kernel_id": "55082167"}, {"ref": "makimakiai/aimo-gemma-instruct-2b-finetuning-inference", "kernel_id": "55151677"}, {"ref": "makimakiai/jp-aimo-gemma-instruct-2b-finetuning-with-jax", "kernel_id": "55143666"}, {"ref": "makimakiai/jp-deepseekmath-paper-annotated-introduction", "kernel_id": "55285863"}, {"ref": "yezengchen/submission-with-the-best-nb-new-api", "kernel_id": "55615183"}, {"ref": "yezengchen/real-mmos", "kernel_id": "55417380"}, {"ref": "lgregory/fork-of-submission-with-the-best-nb-new-ap-14d8bf", "kernel_id": "56142189"}, {"ref": "eabdullin/make-deepseekmath-interactive-sft-w-unsloth", "kernel_id": "56813717"}, {"ref": "lewtun/updated-code-interpretation", "kernel_id": "56060895"}, {"ref": "ufownl/codegemma-mathcodeinstruct-sft", "kernel_id": "56085181"}, {"ref": "ufownl/aimo-mathllm-mathcodeinstruct-dataset", "kernel_id": "56242713"}, {"ref": "ufownl/aimo-internlm2-math-7b-multi-solving", "kernel_id": "56467277"}, {"ref": "ufownl/aimo-mathllm-mathcodeinstruct-vectordb", "kernel_id": "56481678"}, {"ref": "ufownl/aimo-internlm-math-rag", "kernel_id": "56515078"}, {"ref": "ufownl/aimo-deepseek-math-rag", "kernel_id": "56608677"}, {"ref": "vbookshelf/deepseek-rag-w-self-cons-faiss-sent-transfmers", "kernel_id": "56568760"}, {"ref": "harrytheorange/download-lmdeploy", "kernel_id": "56919996"}, {"ref": "harrytheorange/performance-comparision-on-train-set-open-api", "kernel_id": "56991412"}, {"ref": "harrytheorange/deepseek-math", "kernel_id": "56503311"}, {"ref": "taikimori/tora-interleaving-problem-solving-approach", "kernel_id": "56300403"}, {"ref": "lenferdetroud/gemma-adapted", "kernel_id": "56537130"}, {"ref": "isakatsuyoshi/logger", "kernel_id": "56548814"}, {"ref": "masaishi/aimo2024-code-base", "kernel_id": "56685324"}, {"ref": "nabojyotipandey/aimo-codegemma-multi-solving", "kernel_id": "56978241"}, {"ref": "namphanvanhai/llama-3-prompt", "kernel_id": "56924465"}, {"ref": "cescofran/self-consistency-annotated-paper-abstract", "kernel_id": "56957551"}, {"ref": "cescofran/mathbert-annotated-paper-abstract", "kernel_id": "56956496"}, {"ref": "yuanwangzhang/updated-code-interpretation-n-repetitions-17", "kernel_id": "56376481"}, {"ref": "stemosamaghandour/aimo-zero-shot-sc-mmos-deepseekmath", "kernel_id": "56053318"}, {"ref": "stemosamaghandour/python-math-solver", "kernel_id": "56038552"}, {"ref": "minhtutx/gemma-lora", "kernel_id": "56519546"}, {"ref": "edwardlampoh/ed-deepseek-finetune-qlora", "kernel_id": "56428174"}, {"ref": "rahimkk/ai-mathematical-olympiad-progress-prize-1", "kernel_id": "56833763"}, {"ref": "makimakiai/jp-aimo-codegemma-baseline", "kernel_id": "56015722"}, {"ref": "soledadsantiago/ai-math-olympiad", "kernel_id": "56962213"}, {"ref": "amoghakella/updated-code-interpretation-6bb2f7", "kernel_id": "56679248"}, {"ref": "lestergong/deepseek-math", "kernel_id": "56578974"}, {"ref": "alamak/aimo-kerasnlp-starter", "kernel_id": "57512087"}, {"ref": "suzchin/solution-baseline-deepseekmath-finetuned", "kernel_id": "57890287"}, {"ref": "suzchin/solution-baseline-deepseekmath-7b", "kernel_id": "57825021"}, {"ref": "adrianvalente/aimo-mixtral-baseline-new-api", "kernel_id": "57018312"}, {"ref": "harrytheorange/alphamath-best-nb-new-api", "kernel_id": "57127763"}, {"ref": "harrytheorange/alphamath-updated-code-interpretation", "kernel_id": "57217968"}, {"ref": "harrytheorange/alphamath-updated-code-interpretation-n-rep-17", "kernel_id": "57257292"}, {"ref": "harrytheorange/internlm2-math-awq-demo", "kernel_id": "57803253"}, {"ref": "harrytheorange/aimo-stepbystep-lce-fewshot-examples", "kernel_id": "57679746"}, {"ref": "johnsonhk88/ai-math-solving-by-llm", "kernel_id": "57432912"}, {"ref": "shaunshibu/deepseek-with-rag", "kernel_id": "57265870"}, {"ref": "anrenk/aimo-llm-class-deepseek", "kernel_id": "57825362"}, {"ref": "scr0ll0/updated-code-interpretation", "kernel_id": "57248002"}, {"ref": "conormacamhlaoibh/aimo-fork-of-23-public-score", "kernel_id": "57859639"}, {"ref": "fernandosr85/aime-problem-solving-with-tensorflow-and-sympy", "kernel_id": "57373734"}, {"ref": "regisvargas/beginner-s-notebook", "kernel_id": "57255605"}, {"ref": "bargavjagatha/getmathembed", "kernel_id": "57140438"}, {"ref": "masaishi/difficulty-predictor-result-eda", "kernel_id": "57382911"}, {"ref": "masaishi/train-difficulty-predictor", "kernel_id": "57419769"}, {"ref": "nabojyotipandey/improved-code-interpretation", "kernel_id": "57037510"}, {"ref": "nabojyotipandey/deepseekmath-paper-annotated-introduction", "kernel_id": "57140849"}, {"ref": "herrysaraswat/notebook862b7603e2", "kernel_id": "57954001"}, {"ref": "monicasusan/winning-model", "kernel_id": "57833672"}, {"ref": "sreyashlayek/notebookfffffe560a", "kernel_id": "57430771"}, {"ref": "vcode1509/microsoft-rho-external-tuned", "kernel_id": "57225049"}, {"ref": "samarohachatterjee/dsm-basic", "kernel_id": "57266906"}, {"ref": "samarohachatterjee/sam-dsm-implement", "kernel_id": "57264598"}, {"ref": "samarohachatterjee/implement-nd-regex-retrieve", "kernel_id": "57275888"}, {"ref": "samarohachatterjee/sam-dsm7b-3-prompts", "kernel_id": "57945795"}, {"ref": "samarohachatterjee/system-1-and-2", "kernel_id": "57907444"}, {"ref": "alexxxsem/aimo-sub", "kernel_id": "57371021"}, {"ref": "jonathancliu/aimo-submission-example-189cba", "kernel_id": "57148100"}, {"ref": "jonathanmichala/updated-code-interpretation-492274-for-competition", "kernel_id": "58400895"}, {"ref": "christianmariothomas/aimo-mixtral", "kernel_id": "58124013"}, {"ref": "christianmariothomas/deepseek-olyaboi", "kernel_id": "58508951"}, {"ref": "harrytheorange/internlm2-math-plus-7b-awq-code-interpreter", "kernel_id": "58543202"}, {"ref": "harrytheorange/updated-code-interpretation", "kernel_id": "58081016"}, {"ref": "gromml/vllm-inference", "kernel_id": "58808613"}, {"ref": "chewkokwahibrainai/updated-code-interpretation-n-repetitions-17", "kernel_id": "58402292"}, {"ref": "shrutidceit/xplained-mixtral-baseline", "kernel_id": "58760918"}, {"ref": "taikimori/light-experiment-does-vllm-retain-the-past-kv", "kernel_id": "58152564"}, {"ref": "panashedylanmuguti/notebook5341f76cf1", "kernel_id": "58513574"}, {"ref": "boristown/aimo-train", "kernel_id": "58614712"}, {"ref": "pratikde/ai-math-olympiad-solution", "kernel_id": "58648725"}, {"ref": "hyunsoolee1010/updated-code-interpretation-19ebdb", "kernel_id": "58983354"}, {"ref": "guanxinyan/score23", "kernel_id": "58258539"}, {"ref": "hrhuynguyen/aimo-llm-class-deepseek", "kernel_id": "58312611"}, {"ref": "shade012/llamacpp-inference-run-quantized-models", "kernel_id": "58710606"}, {"ref": "shashwotpradhan/aimo-llm-class-deepseekcopy", "kernel_id": "58687741"}, {"ref": "yhanchen/updated-code-interpretation-n-repetitions-17", "kernel_id": "58963164"}, {"ref": "andreaskaufmann/ai-math-validation-set-with-olympiadbench", "kernel_id": "58533750"}, {"ref": "james113001/deepseekcoder-vs-opencodeinterpreter", "kernel_id": "58752346"}, {"ref": "james113001/homeworkmachine-submission", "kernel_id": "58671929"}, {"ref": "prathamadhikari/deepseek-math", "kernel_id": "58787075"}, {"ref": "thomasgamet/updated-code-interpretation-faiss-db", "kernel_id": "58730328"}, {"ref": "ichigoe/aimo-96th-place-solution", "kernel_id": "58860663"}, {"ref": "mikhailgolubchik/updated-code-interpretation-27", "kernel_id": "58832889"}, {"ref": "ammar727/llm-self-consistency-w-question-rephrasing", "kernel_id": "58001816"}, {"ref": "ahmadabbous/notebookd51f6f0ed0", "kernel_id": "58996515"}, {"ref": "rahultimalsina465/notebook09a45db105", "kernel_id": "58768836"}, {"ref": "divanser/aimo-let-s-learn-together", "kernel_id": "58490146"}, {"ref": "christie/pdf-data-processor", "kernel_id": "59489037"}, {"ref": "ironbar/2xvllm-with-code-interpreter", "kernel_id": "59321278"}, {"ref": "ironbar/making-wheels-of-necessary-packages-for-vllm", "kernel_id": "59376982"}, {"ref": "indranilbhattacharya/aimo-2024-private-36th-place-solution", "kernel_id": "59109846"}, {"ref": "ufownl/aimo-codegemma-rag", "kernel_id": "59435579"}, {"ref": "dwaipayanduttadd/ai-math-olympaid-dev", "kernel_id": "59006846"}, {"ref": "dwaipayanduttadd/competition-dwaipayan", "kernel_id": "59289392"}, {"ref": "poonszesen/aimo-submission-2", "kernel_id": "59917166"}, {"ref": "pratikde/pratik-use-case", "kernel_id": "59352148"}, {"ref": "pratikde/notebook22f271cfee", "kernel_id": "59277706"}, {"ref": "hemanthkumar21/phi3-128k-aimo", "kernel_id": "59921077"}, {"ref": "heshanchen/switch-to-deepseek-ver-1", "kernel_id": "59486851"}, {"ref": "vedantpadwal/code-interpretation-n-repetitions-32-64", "kernel_id": "59761337"}, {"ref": "shashwotpradhan/aimo-kerasnlp-startercopy", "kernel_id": "59270686"}, {"ref": "shashwotpradhan/aime-problem-solving-with-tensorflow-and-sympycopy", "kernel_id": "59235203"}, {"ref": "jay00hwang/code-interpretation-n-repetitions-32-64", "kernel_id": "59996094"}, {"ref": "thomasgamet/updated-code-interpretation-rag-based-1shot-lb-17", "kernel_id": "59628635"}, {"ref": "shuvokumarbasak4004/olp4004", "kernel_id": "59667019"}, {"ref": "malakafaqahmad/ai-mo-finetunning-gemma", "kernel_id": "59204332"}, {"ref": "satwikkishore/finetune", "kernel_id": "59426963"}, {"ref": "samarohachatterjee/system-1", "kernel_id": "59121123"}, {"ref": "marionchaff/deepseek-simple", "kernel_id": "59279743"}, {"ref": "enzosebiane/aimo-llm-usage-1033s", "kernel_id": "59912667"}, {"ref": "zgzjnbzl/aimo-submit1-rewardselected", "kernel_id": "60728769"}, {"ref": "zgzjnbzl/aimo-submit2-majorvote", "kernel_id": "60820581"}, {"ref": "gromml/aimo-wheels", "kernel_id": "60080950"}, {"ref": "mss5720/aimo-vllm-inference", "kernel_id": "60633648"}, {"ref": "aleron751/llm-reseach-v1", "kernel_id": "60402874"}, {"ref": "anrenk/deepseek-class-rag-question", "kernel_id": "60892299"}, {"ref": "sriramanush123/aimo-submission", "kernel_id": "60512818"}, {"ref": "lenferdetroud/aimov1", "kernel_id": "60759467"}, {"ref": "lenferdetroud/aimov2", "kernel_id": "60848228"}, {"ref": "tingjunwang/refine", "kernel_id": "60514640"}, {"ref": "fadhaaali/fork-of-math-olym-notework-04cd02", "kernel_id": "60954874"}, {"ref": "kychanh/deepseek-rag", "kernel_id": "60770154"}, {"ref": "chetanchinchulkar/aimo-kerasnlp-starter", "kernel_id": "60287594"}, {"ref": "alejandravillarreal/aimo-deepseek-math", "kernel_id": "60823086"}, {"ref": "javigallego/aimo-final-submission", "kernel_id": "60408987"}, {"ref": "crsuthikshnkumar/deepseekmath-solve-math-puzzles-crsk", "kernel_id": "60194973"}, {"ref": "linchenyu/vllm-aimath", "kernel_id": "60014893"}, {"ref": "prathamadhikari/deepseekmath-and-sympy", "kernel_id": "60198188"}, {"ref": "chaitanyaaaaaa/scored-subm", "kernel_id": "60074523"}, {"ref": "naveendevaraj/aimo-kerasnlp-starter", "kernel_id": "60197079"}, {"ref": "turner711/ai-mathematical-olympiad", "kernel_id": "60901584"}, {"ref": "mccocoful/vllm-dsm", "kernel_id": "60843003"}, {"ref": "prachipatil304203984/code-based-solutions-to-training-problems", "kernel_id": "60314803"}, {"ref": "lewtun/numina-1st-place-solution", "kernel_id": "61827961"}, {"ref": "edwardsun0909/aimo-2nd-place-solution", "kernel_id": "61797062"}, {"ref": "sanggusti/aimo-kerasnlp-walkthrough", "kernel_id": "61613196"}, {"ref": "takeshimorimura/53rd-place-solution-aimo-progress-prize-1", "kernel_id": "61689492"}, {"ref": "mayakaripel/notebook653e9043cd", "kernel_id": "61014150"}, {"ref": "davidd2/vllm-continous-generation-with-code-outputs", "kernel_id": "61589573"}, {"ref": "davidd2/3rd-place-solution-afterexams", "kernel_id": "61564773"}, {"ref": "pratikde/aimo-neo-hexa-pd-x1", "kernel_id": "61040555"}, {"ref": "phnghiapro/sc-cot-vllm-code-prompt-only-train-eval", "kernel_id": "61038610"}, {"ref": "heshanchen/solution-baseline-deepseekmath-7b-08adce-f0a12d", "kernel_id": "61025036"}, {"ref": "winter2003/4th-dual-gpu-reasoning-and-comparing-answers", "kernel_id": "61542455"}, {"ref": "nagesh90899/math-olympiad-inference", "kernel_id": "61132746"}, {"ref": "cardata/ai-mathematical-olympiad", "kernel_id": "61936224"}, {"ref": "aarishasifkhan/ai-mathematical-olympiad-training-a-cnn-model", "kernel_id": "61665276"}, {"ref": "aarishasifkhan/ai-mathematical-olympiad-progress-prize-1", "kernel_id": "61487544"}, {"ref": "aarishasifkhan/ai-math-olympiad-analysis-model-build-bert", "kernel_id": "61703069"}, {"ref": "aarishasifkhan/ai-mathematical-olympiad-analysis-with-ridge", "kernel_id": "61811268"}, {"ref": "aarishasifkhan/ai-mathematical-olympiad-fine-tuning-with-gpt-2", "kernel_id": "61875956"}, {"ref": "elhadeka/aimo-llm-class-deepseek-added-temperature-decay", "kernel_id": "61503911"}, {"ref": "amitojsinghmiglani/alphageometry-inference-notebook", "kernel_id": "64397203"}, {"ref": "naveendevaraju2003/aimo-kerasnlp-starter", "kernel_id": "64699763"}, {"ref": "tanyong666/making-wheels-of-necessary-packages-for-vllm-062", "kernel_id": "66925614"}, {"ref": "attorneyevil/copied-alphageometry", "kernel_id": "66487336"}, {"ref": "jagatkiran/0-6-3-post1-wheels-vllm", "kernel_id": "67533239"}, {"ref": "julian3833/aimo2-starter-llm-code-baseline-lb-2", "kernel_id": "68354866"}, {"ref": "boristown/aimo2-numin-s-solution", "kernel_id": "68248456"}, {"ref": "jagatkiran/ycpta-eval-script", "kernel_id": "72675721"}, {"ref": "kevinsmith94624/aimo-kerasnlp-starter", "kernel_id": "72486997"}, {"ref": "handudu/aimo1-20-fix2", "kernel_id": "77864924"}, {"ref": "handudu/aimo1-20th", "kernel_id": "77391717"}, {"ref": "fernandosr85/aime-2-math-prediction-system", "kernel_id": "78298510"}, {"ref": "avishekrauniyar/aimo-cha", "kernel_id": "78282887"}, {"ref": "annaponomarchuk/ai-mathematical-olympiad", "kernel_id": "78615027"}, {"ref": "iamhardcoder/deepseekmath-solve-math-puzzles-crsk", "kernel_id": "78610401"}, {"ref": "swayamvishwakarma/aimo-eda", "kernel_id": "80620570"}, {"ref": "khanenko/making-wheels-for-vllm-0-8-5-post1", "kernel_id": "83600051"}, {"ref": "jaco503/notebooka15b286bf4", "kernel_id": "83214473"}, {"ref": "renukaoladhri/aimath", "kernel_id": "87711066"}, {"ref": "kohkaichunsamuel/deepseek-tir", "kernel_id": "107397071"}, {"ref": "ashishnas/updated-code-interpretation", "kernel_id": "111739461"}, {"ref": "swapnilnarwade/math-tutor-llm-fine-tuning", "kernel_id": "113906833"}]}
{"competition_id": "73236", "kernels": []}
{"competition_id": "73237", "kernels": []}
{"competition_id": "73255", "kernels": []}
{"competition_id": "73263", "kernels": []}
{"competition_id": "73278", "kernels": [{"ref": "cybersimar08/ml-models-from-scratch", "kernel_id": "40287125"}, {"ref": "paddykb/s4e5-bfi-forces-of-nature-floods-and-flamls", "kernel_id": "55964637"}, {"ref": "capitaindata/baseline-automl", "kernel_id": "55971628"}, {"ref": "docxian/ps-s4-e5-flood-prediction-visual-exploration", "kernel_id": "55963411"}, {"ref": "oscarm524/ps-s4-ep5-eda-modeling-submission", "kernel_id": "55942141"}, {"ref": "mpwolke/flooding-rivers-through-my-kaggler-mind", "kernel_id": "55942307"}, {"ref": "syerramilli/automl-ps4e05-autogluon", "kernel_id": "55984974"}, {"ref": "motensor/pgs4e5-baseline-v1-0", "kernel_id": "55990562"}, {"ref": "thiagomantuani/ps4e5-flood-prediction-get-started", "kernel_id": "55942140"}, {"ref": "rawatshubham09/flood-prediction-ann", "kernel_id": "55993012"}, {"ref": "ikramur/flood-prediction-lgbmregressor-with-optuna", "kernel_id": "55994065"}, {"ref": "thomasmeiner/ps4e5-bluecast-regression", "kernel_id": "55948279"}, {"ref": "thomasmeiner/ps4e5-get-all-data-insights-you-need-here", "kernel_id": "55964797"}, {"ref": "thomasmeiner/linear-ensemble-with-simple-fe", "kernel_id": "55981091"}, {"ref": "imbishal7/flood-prediction-competition", "kernel_id": "55953344"}, {"ref": "cyrilbourgeois/pss4e5-baseline-autogluon-first-analysis", "kernel_id": "55995984"}, {"ref": "vladimirmijatovic/floods-eda-in-r", "kernel_id": "55977132"}, {"ref": "vladimirmijatovic/floods-simple-h20-baseline-in-r", "kernel_id": "55967555"}, {"ref": "ambrosm/pss4e5-eda-which-makes-sense", "kernel_id": "55957070"}, {"ref": "sohaibmoradi/ps-s4e5-eda-feature-engineering-catboost", "kernel_id": "55992481"}, {"ref": "satyaprakashshukl/neural-network-prediction-analysis", "kernel_id": "55951075"}, {"ref": "satyaprakashshukl/flood-analysis-h20", "kernel_id": "55959480"}, {"ref": "satyaprakashshukl/regression-flood-analysis", "kernel_id": "55946815"}, {"ref": "ravi20076/playgrounds4e05-eda-baseline", "kernel_id": "55942786"}, {"ref": "ravi20076/playgrounds4e05-autogluon-starter", "kernel_id": "55942126"}, {"ref": "starcs2001/autogluon", "kernel_id": "55976573"}, {"ref": "likhon148/flood-prediction-tf-outlier-detection-callback", "kernel_id": "55963945"}, {"ref": "bryamblasrimac/skorch", "kernel_id": "55988578"}, {"ref": "mikolajhojda/baseline-catboostregressor-beginners", "kernel_id": "55987961"}, {"ref": "mustafakeser4/autogluon-ps4e05-baseline", "kernel_id": "55950153"}, {"ref": "hermengardo/first-time-with-automl-h2o-ai", "kernel_id": "55967092"}, {"ref": "lixfzz/pss4e5-hypergbm-automl-baseline", "kernel_id": "55959717"}, {"ref": "abrahamajibade/flood-prediction-with-regression", "kernel_id": "55991433"}, {"ref": "ulisesmontoyacanales/ps-s4-s5-automl-grand-prix-cat-lgb-xgb", "kernel_id": "55942658"}, {"ref": "kenjikaminogo/deeplearning-keras-score-0-86281", "kernel_id": "55942925"}, {"ref": "kenjikaminogo/catboost-baseline-beginners", "kernel_id": "55941987"}, {"ref": "neelgangrade/automl-grand-prix-the-mathemagicians-xgmboost", "kernel_id": "55981619"}, {"ref": "cndrip/s4e5-baseline-to-stacking-xgboost-lightgbm-catbo", "kernel_id": "55948770"}, {"ref": "cndrip/s4e5-deeplearn-mpl-0-859", "kernel_id": "55968054"}, {"ref": "rzatemizel/autogluon-public-features", "kernel_id": "55942129"}, {"ref": "kapturovalexander/kapturov-s-solution-of-ps-s4e5", "kernel_id": "55941915"}, {"ref": "sergeypolivin/floodreg-detector", "kernel_id": "55970304"}, {"ref": "priyanshu594/flood-prediction-nn-eda-score-0-86021", "kernel_id": "55962922"}, {"ref": "mattop/ps-s4-e5-ensemble-using-hillclimbers", "kernel_id": "55941990"}, {"ref": "kagleo123/ps4e5-flood-prediction-eda-prediction", "kernel_id": "55978932"}, {"ref": "minhaozhang1/s4e5-eda-ensemle-of-lgbm-cat-cnn", "kernel_id": "55944139"}, {"ref": "harharharhar/s04e05-flood", "kernel_id": "55983953"}, {"ref": "aaradhyabadal/ps4e5-eda-original-data-voting-regressor", "kernel_id": "55976895"}, {"ref": "carloscll/analyzing-the-data", "kernel_id": "55950415"}, {"ref": "natchaphonkamhaeng/pg-s04-e05-regression-flood-prediction", "kernel_id": "55960363"}, {"ref": "alexeyk12/catboost", "kernel_id": "55988935"}, {"ref": "chrisk321/r-starter-eda-flood-prediction-dataset", "kernel_id": "55944286"}, {"ref": "yongsukprasertsuk/ps4e5-autogluon-hpo-meta-features", "kernel_id": "55963128"}, {"ref": "atharva0577/s4e05-eda-baseline", "kernel_id": "55943716"}, {"ref": "eishkaran/autogluon", "kernel_id": "55973879"}, {"ref": "vishnupriyagarige/regression-with-a-flood-prediction-pipeline", "kernel_id": "55988609"}, {"ref": "jaymilindpadloskar/baseline-v1-catboost", "kernel_id": "55981978"}, {"ref": "abeshith/regression-catboost", "kernel_id": "55967669"}, {"ref": "arunklenin/ps4e5-autogluon-regression-baseline", "kernel_id": "55974749"}, {"ref": "arunklenin/ps4e5-auto-h2o-regression-baseline", "kernel_id": "55967385"}, {"ref": "samanfatima7/fully-detailed-explained-flood-prediction", "kernel_id": "55980143"}, {"ref": "kalpanagarige/regression-with-a-flood-prediction-dataset", "kernel_id": "55973959"}, {"ref": "aldrinlambon/h2o-automl-for-flood-prediction", "kernel_id": "55957698"}, {"ref": "darshitapaghadal/simple-predication-with-standardized-data", "kernel_id": "55974225"}, {"ref": "drewmatsumoto/ps4e4-only-lightgbm-eda-optuna", "kernel_id": "55305224"}, {"ref": "muhammadawaistayyab/ps4e5-xgboost", "kernel_id": "55290354"}, {"ref": "armanzhalgasbayev/ps-s4-e5-regression-with-flood-prediction-xgbr", "kernel_id": "55993041"}, {"ref": "ravaghi/s04e05-flood-prediction-autogluon", "kernel_id": "55961547"}, {"ref": "ravaghi/s04e05-flood-prediction-model-comparison", "kernel_id": "55965667"}, {"ref": "dhruvtibarewal/flood-probability-prediction", "kernel_id": "55967237"}, {"ref": "abdmental01/flood-prediction-a-regression-journey", "kernel_id": "55949828"}, {"ref": "abdmental01/auto-gluon-clean-solution", "kernel_id": "55961327"}, {"ref": "amritangshudaskar/adk-flood-probability-predication", "kernel_id": "55992917"}, {"ref": "umairabbasi6/beginner-friendly-linear-cat-model", "kernel_id": "55979300"}, {"ref": "khangtran94vn/flood-probability", "kernel_id": "55999716"}, {"ref": "sunilkumaradapa/elevating-kaggle-performance-with-openfe", "kernel_id": "55959566"}, {"ref": "ericmundt/flood-predictions", "kernel_id": "55942426"}, {"ref": "yteshima/ps4s5-eda-with-ipwidgets-and-easy-prediction", "kernel_id": "55944020"}, {"ref": "yorkyong/regression-flood-prediction-ensemble", "kernel_id": "55943412"}, {"ref": "hakudan/flood-prediction", "kernel_id": "55974142"}, {"ref": "bibekbhusal0/ps-s4e5-flood-predictions", "kernel_id": "55958826"}, {"ref": "jbm1966/automl-grand-prix-barbate-on-my-mind-h2o-automl", "kernel_id": "56009368"}, {"ref": "alexryzhkov/tps-may-24-lightautoml-starter", "kernel_id": "56104459"}, {"ref": "rohanrao/automl-grand-prix-4th-place-solution", "kernel_id": "56417669"}, {"ref": "jankuper192/automl-using-superlearner", "kernel_id": "56010677"}, {"ref": "jankuper192/automl-using-tidymodels-and-h2o", "kernel_id": "56014626"}, {"ref": "uzdavinys/pg-s04e05-competition-stats", "kernel_id": "56345259"}, {"ref": "capitaindata/tps-may-24-lightautoml", "kernel_id": "56017064"}, {"ref": "rinchin/automl-grand-prix-1st-place-solution-0-86917", "kernel_id": "56250948"}, {"ref": "aspillai/flood-prediction-regression-lightgbm-0-86931", "kernel_id": "56682939"}, {"ref": "rahullalu/tpot-flood-prediction-eda-baseline", "kernel_id": "56294884"}, {"ref": "datascientistsohail/simple-xgb-in-flood-prediction-s4e5", "kernel_id": "56572466"}, {"ref": "deepaksingh47/eda-flood-prediction-dataset", "kernel_id": "56025926"}, {"ref": "mmalam/flood-prediction-2", "kernel_id": "56806175"}, {"ref": "mmalam/flood-prediction-1", "kernel_id": "56383856"}, {"ref": "rayzinnz/a-single-feature-to-get-0-865", "kernel_id": "56292114"}, {"ref": "aloysiuschan/exploratory-data-analysis-v1", "kernel_id": "56897871"}, {"ref": "ssarkar445/flood-s4e5", "kernel_id": "56822287"}, {"ref": "rohitkrbose/ff-neural-net-with-bce-loss", "kernel_id": "56777380"}, {"ref": "dbrach/comprehensive-fe-w-corr-coef-scoring", "kernel_id": "56183003"}, {"ref": "dbrach/scatterplot-vs-boxplot-side-by-side", "kernel_id": "56070976"}, {"ref": "maysaasalama/regression-with-a-flood-prediction-dataset", "kernel_id": "56712764"}, {"ref": "vladtasca/s4e5-predicting-a-flood-or-fighting-with-the-data", "kernel_id": "56620449"}, {"ref": "stpeteishii/ps-s4e5-ensemble-w-stackingregressor", "kernel_id": "56107481"}, {"ref": "stpeteishii/ps-s4e5-ensemble-w-votingregressor", "kernel_id": "56107491"}, {"ref": "stpeteishii/ps-s4e5-histplot", "kernel_id": "56056627"}, {"ref": "stpeteishii/ps-s4e5-xgboost-w-optuna", "kernel_id": "56058727"}, {"ref": "stpeteishii/ps-s4e5-lgbm-w-optuna", "kernel_id": "56058801"}, {"ref": "stpeteishii/ps-s4e5-catboost-w-optuna", "kernel_id": "56058807"}, {"ref": "stpeteishii/ps-s4e5-automl", "kernel_id": "56629562"}, {"ref": "yutodennou/competition-training-optuna-lgbm", "kernel_id": "56924770"}, {"ref": "jkarthikn/flood-prediction", "kernel_id": "56396155"}, {"ref": "allegich/pss4e5-flood-test-40-models-lazypredict", "kernel_id": "56082617"}, {"ref": "allegich/s4e5-flood-simple-fast-model-with-xgboost-submit", "kernel_id": "56439326"}, {"ref": "naarku30/s4e5-flood-prediction-eda", "kernel_id": "56019601"}, {"ref": "naarku30/s4e5-statistical-features-modelling", "kernel_id": "56980736"}, {"ref": "kkhandekar/predicting-floods-by-simple-linear-regression", "kernel_id": "56578119"}, {"ref": "justincavanaugh/rising-waters-predictive-insights-with-xgboost", "kernel_id": "56686582"}, {"ref": "hittmg/240512regression-with-a-flood-prediction-dataset", "kernel_id": "56981033"}, {"ref": "ivanblch/seminar4-xgb-lama", "kernel_id": "56141882"}, {"ref": "ivanblch/seminar-5-optuna", "kernel_id": "56423379"}, {"ref": "ivanblch/seminar6-data", "kernel_id": "56562326"}, {"ref": "lucasmorin/pykan-test", "kernel_id": "56122229"}, {"ref": "carlmcbrideellis/automl-grand-prix-cme-catboost-baseline-5", "kernel_id": "56016018"}, {"ref": "michaelcornelio/flood-prediction-using-lgbm-optuna-tuning", "kernel_id": "56971206"}, {"ref": "ucindia/flood-data-pred", "kernel_id": "56017769"}, {"ref": "anrenk/flood-prediction", "kernel_id": "56140982"}, {"ref": "anrenk/random-guess", "kernel_id": "56090776"}, {"ref": "fernandocarrera/flood-prediction", "kernel_id": "56177054"}, {"ref": "yeonseokcho/regression-with-a-flood-prediction", "kernel_id": "56192525"}, {"ref": "nischaydnk/team-oxygen-automl-2nd-place", "kernel_id": "56354450"}, {"ref": "kevinakbari/pss4e5-manual-nn-features-ae-features", "kernel_id": "56003366"}, {"ref": "singhtanveer38/notebook0e64bec5b3", "kernel_id": "56380468"}, {"ref": "kenconstable/flooding-xgb-lgbm-soft-voting-ensemble", "kernel_id": "56367508"}, {"ref": "ereneris/lgbm-and-gradientboostingregresor", "kernel_id": "56350440"}, {"ref": "nyagami/flood-prediction-eda-score-0-845", "kernel_id": "56786791"}, {"ref": "rahulnakka/r2-0-868620-flaml-ladregression-featureeng", "kernel_id": "56677862"}, {"ref": "yeoyunsianggeremie/ps4e5-single-model-cv-0-86921-lb-0-86907", "kernel_id": "56418430"}, {"ref": "mohamedabder/01-eda-flood", "kernel_id": "56386873"}, {"ref": "tracyporter/play-4-5-tf", "kernel_id": "56075331"}, {"ref": "tracyporter/play-4-5-tf-dnn", "kernel_id": "56132396"}, {"ref": "tracyporter/play-4-5-tf-dnn-no-ks-norm", "kernel_id": "56233445"}, {"ref": "tracyporter/play-4-5-tf-dnn-no-ks", "kernel_id": "56222231"}, {"ref": "xblade/playground-may-gbdt2", "kernel_id": "56006000"}, {"ref": "nakashi120/s4e5-eda-euclidean-distance-lightgbm", "kernel_id": "56709908"}, {"ref": "wenhaoloo/kaggle-playground-series-s4e5", "kernel_id": "56981740"}, {"ref": "sasayaka/flood-prediction-eda-and-lgb-cv-eng", "kernel_id": "56108674"}, {"ref": "sasayaka/flood-prediction-catboost-cv-eng", "kernel_id": "56407147"}, {"ref": "dheenaleonora/prediction-of-flood-probability", "kernel_id": "56200610"}, {"ref": "anmolstha1/pca-s-impact-on-regression-model-performance", "kernel_id": "56094732"}, {"ref": "miyawakiyoshifumi/cnn-stater-flood-prediction", "kernel_id": "56146222"}, {"ref": "sergiosaharovskiy/ps-s4e5-2024-xgb-cat-lgbm-submission", "kernel_id": "56019227"}, {"ref": "georgedoukas/flood-flaml", "kernel_id": "56074351"}, {"ref": "roberthatch/automl-3rd-place-lgbm-5-fold", "kernel_id": "56093081"}, {"ref": "jeremyhaakenson/generalized-additive-model-to-predict-flooding", "kernel_id": "56020728"}, {"ref": "subashinim/first-regression-code", "kernel_id": "56382109"}, {"ref": "jimgruman/flooding-probability", "kernel_id": "56071121"}, {"ref": "areeshaary/ps4e5-starter-notebook", "kernel_id": "56388455"}, {"ref": "sebas02/flood-prediction-feature-eng-target-and-input", "kernel_id": "56110848"}, {"ref": "shankarrajappa/predict-floodprobability-ps04e05", "kernel_id": "56073907"}, {"ref": "tomprak/flood-regression-in-jax", "kernel_id": "56051062"}, {"ref": "eldarsarajlic/flood-deceptively-simple", "kernel_id": "56143682"}, {"ref": "jocelyndumlao/analyzing-flooding-probability", "kernel_id": "56011329"}, {"ref": "ferdinandpark/flood-prediction-model-by-jake", "kernel_id": "56415647"}, {"ref": "mohamedikbalguetout/simple-code-with-lgbm", "kernel_id": "56393621"}, {"ref": "luisatencio/ensemble-using-pytorch", "kernel_id": "56712057"}, {"ref": "srsses/flood-prediction", "kernel_id": "56976886"}, {"ref": "munabhusal/are-natural-disasters-like-flood-predictable", "kernel_id": "56165812"}, {"ref": "barbagrande007/bbg007-s4e5-flooding", "kernel_id": "56100214"}, {"ref": "act18l/fourierkan-for-tps-s4e5", "kernel_id": "56242693"}, {"ref": "tdoh86/ps4e5-flood-prediction-eda-and-baseline", "kernel_id": "56187987"}, {"ref": "ninethirteen/notebook139df5bb12", "kernel_id": "56244424"}, {"ref": "satyaprakashshukl/feature-engineering-interaction", "kernel_id": "56251393"}, {"ref": "satyaprakashshukl/feature-dataset-creation", "kernel_id": "56393064"}, {"ref": "satyaprakashshukl/simple-bluecast-flood-analysis", "kernel_id": "56150435"}, {"ref": "satyaprakashshukl/lightautoml-fe-analysis", "kernel_id": "56114813"}, {"ref": "alimsd77/xgb-cat-lightgbm", "kernel_id": "56442503"}, {"ref": "ravi20076/playgrounds4e05-baseline-v2", "kernel_id": "56072944"}, {"ref": "ravi20076/playgrounds4e05-blender", "kernel_id": "56053909"}, {"ref": "andreal314159/flood", "kernel_id": "56893523"}, {"ref": "paulorobinson/predi-o-de-risco-de-inunda-o-pt-br", "kernel_id": "56670657"}, {"ref": "hamzabinbutt/regression", "kernel_id": "56618383"}, {"ref": "onisamsonabidemi/0-86866-flood-prediction-xgb", "kernel_id": "56150488"}, {"ref": "omidbaghchehsaraei/ps4e5-floodprediction-xgboost-publicscore-0-86921", "kernel_id": "56131282"}, {"ref": "ridwanakmal/simple-stacking-optuna-tuning-0-86lb", "kernel_id": "56393997"}, {"ref": "adrienriaux/stacking-regressor", "kernel_id": "56330255"}, {"ref": "klyushnik/blend-ensemble-machine-learning", "kernel_id": "56404969"}, {"ref": "lordpatil/simple-linear-regression-from-scratch", "kernel_id": "56059719"}, {"ref": "susanketsarkar/flood-prediction-beginer-code-ori-data-included", "kernel_id": "56041380"}, {"ref": "susanketsarkar/autogluon", "kernel_id": "56082567"}, {"ref": "suehuynh/flood-prediction-eda-xgboost-ensemble", "kernel_id": "56464100"}, {"ref": "mustafakeser4/autogluon-ps4e05-fast-baseline", "kernel_id": "56168240"}, {"ref": "mustafakeser4/fe-autogluon-ps4e05-5h", "kernel_id": "56021511"}, {"ref": "mustafakeser4/fe-openfe-autogluon-ps4e05-3-5h-inference-13", "kernel_id": "56046141"}, {"ref": "mustafakeser4/fe-openfe-autogluon-ps4e05-3-5h-13", "kernel_id": "56023449"}, {"ref": "kartiktyagi1036/flood-analysis-using-ml-and-dl", "kernel_id": "56071648"}, {"ref": "iqmansingh/flood-prediction-simple-kfold-catboost", "kernel_id": "56051158"}, {"ref": "felippedmaso/linearregression-flood", "kernel_id": "56452256"}, {"ref": "markjandrews/catboost-incl-clustering", "kernel_id": "56940673"}, {"ref": "fb042200/ps4e5-baseline", "kernel_id": "56377511"}, {"ref": "shivam1750/v-0-1", "kernel_id": "56926177"}, {"ref": "vayanshgarg/flood-prediction", "kernel_id": "56750098"}, {"ref": "rubanzasilva/s04e05-fastai", "kernel_id": "56065598"}, {"ref": "rzatemizel/ensemble-ann-boosters-linear-model", "kernel_id": "56016922"}, {"ref": "uzairshafique/floodprediction-ensemble-models", "kernel_id": "56901504"}, {"ref": "omega11/whats-the-right-model", "kernel_id": "56546645"}, {"ref": "jaysabnis/a-simple-approach-for-beginners-catboost-regressor", "kernel_id": "56010095"}, {"ref": "kdaehwan/3rd-project-flood-prediction-model", "kernel_id": "56699958"}, {"ref": "hallojong0319/flood-prediction-eda", "kernel_id": "56172254"}, {"ref": "mattop/ps-s4-e5-decisiontreeregressor", "kernel_id": "56096881"}, {"ref": "raniahelmy/ps4e5-fp-eda", "kernel_id": "56535449"}, {"ref": "akokoo/s4e05-data-lgbm-eda", "kernel_id": "56373786"}, {"ref": "nityam07/flood-prediction-using-neural-network", "kernel_id": "56020125"}, {"ref": "themajormask/flood-prediction", "kernel_id": "56227171"}, {"ref": "gmudit/regression-with-flood-prediction-database", "kernel_id": "56885342"}, {"ref": "francescoliveras/ps-s4-e5-eda-model-en-es", "kernel_id": "56584065"}, {"ref": "ayanabil11/lgbmregressor-kfold-cross-validation", "kernel_id": "56535741"}, {"ref": "aaradhyabadal/ridge-regression-vs-fsum-and-a-powerful-feature", "kernel_id": "56691329"}, {"ref": "alfesuny/flood-prediction-using-regression", "kernel_id": "56433268"}, {"ref": "grooper/baseline-prediction-with-lgbm", "kernel_id": "56376774"}, {"ref": "grooper/baseline-eda-prediction-with-lgbm-optuna", "kernel_id": "56381629"}, {"ref": "glebpimenov/flood-prediction", "kernel_id": "56128050"}, {"ref": "aldggr/just-do-a-normal-linear-regression", "kernel_id": "56021594"}, {"ref": "ucas0v0zhuoqunli/s4e4-flaml", "kernel_id": "56046083"}, {"ref": "jamesking76/automl-grand-prix-5th-place-submission", "kernel_id": "56153367"}, {"ref": "carloscll/keep-it-stupid-simple", "kernel_id": "56018142"}, {"ref": "nikhil029/s4-e5", "kernel_id": "56062202"}, {"ref": "triblex/lets-have-a-medal-from-blender-2rd-place-0-86923", "kernel_id": "56131108"}, {"ref": "abbasseifossadat/flood-prediction-catboost-0-86817", "kernel_id": "56710312"}, {"ref": "hindismailimhamdi/flood-prediction", "kernel_id": "56265421"}, {"ref": "mcmaki/pss4e5-ensemble-by-pycaret", "kernel_id": "56455873"}, {"ref": "endofnight17j03/regression-flood-xgboost-lgbm", "kernel_id": "56614640"}, {"ref": "nabinoli2004/flood-prediction", "kernel_id": "56061088"}, {"ref": "trupologhelper/ps4e5-simple-blending-detailed-explanation", "kernel_id": "56372743"}, {"ref": "trupologhelper/ps4e5-big-eda-baseline-lightgbm", "kernel_id": "56251272"}, {"ref": "cristhianccalah/regression-with-a-flood-prediction-dataset-tf", "kernel_id": "56000610"}, {"ref": "wissams/regression-xgb-flood-prediction-pgseries-s4e5", "kernel_id": "56141490"}, {"ref": "habilamar/neural-nets-kaggle-playground-s4e5", "kernel_id": "56068946"}, {"ref": "yurajakadari/yuraja-kadari-regression", "kernel_id": "56968754"}, {"ref": "yurajakadari/linear-decision-randomforest", "kernel_id": "56978360"}, {"ref": "eishkaran/flood-prediction-autogluon", "kernel_id": "56012433"}, {"ref": "jhanviirawat/flood-prediction-lgbm-and-catboost-ensemble", "kernel_id": "56809602"}, {"ref": "vishnupriyagarige/flood-prediction-with-lgb", "kernel_id": "56102645"}, {"ref": "vishnupriyagarige/flood-prediction-with-xgb", "kernel_id": "56537536"}, {"ref": "gyogyocat/eda-simplebaseline-lightgbm", "kernel_id": "56210817"}, {"ref": "gyogyocat/eda-simple-lightgbm-blender", "kernel_id": "56279483"}, {"ref": "averilkan/regression-flood-analysis", "kernel_id": "56718028"}, {"ref": "rabbitx86/flood-prediction", "kernel_id": "56576467"}, {"ref": "kazimohammadnazib/flood-predict", "kernel_id": "56389837"}, {"ref": "souviksamanta2000/regressionwithafloodprediction-score-0-844", "kernel_id": "56288280"}, {"ref": "iamabhaytiwari/flood-protection-database", "kernel_id": "56041990"}, {"ref": "abhijit89kumar/flood-probability-prediction", "kernel_id": "56631666"}, {"ref": "juanpablolagos/regression-flood-prediction", "kernel_id": "56465507"}, {"ref": "sandeepsharma94169/flood-prediction-polynomial-regression-score-0-845", "kernel_id": "56421749"}, {"ref": "anmol111pal/regression-with-flood-data", "kernel_id": "56139319"}, {"ref": "shlokshivkar/s4e5-flood-eda-featengg-stats-beginnerfriendly", "kernel_id": "56303392"}, {"ref": "sztnhopsz/flood-prediction", "kernel_id": "56695551"}, {"ref": "matthewsfarmer/is-0-87-possible", "kernel_id": "56094849"}, {"ref": "darkdevil18/flood-eda-meaningful-insights", "kernel_id": "56053367"}, {"ref": "alkidiarete/fastai-flood-prediction", "kernel_id": "56125481"}, {"ref": "arunklenin/ps4e5-flood-prediction-regression", "kernel_id": "56036292"}, {"ref": "ivankucherov/floodprob-prediction-explained-new-features", "kernel_id": "56850357"}, {"ref": "pawelkauf/save-time-eda-starter", "kernel_id": "56257881"}, {"ref": "martinapreusse/h2o-performance-by-runtime-r", "kernel_id": "56131443"}, {"ref": "kalpanagarige/flood-prediction-using-lgbm", "kernel_id": "56469438"}, {"ref": "kalpanagarige/flood-prediction-using-xgb", "kernel_id": "56608017"}, {"ref": "kalpanagarige/flood-prediction-using-catboost", "kernel_id": "56228726"}, {"ref": "thomascreid/flood-prediction-lgbm-baseline-oop", "kernel_id": "56156287"}, {"ref": "abhijitnandi007/flood-prediction-notebook", "kernel_id": "56421937"}, {"ref": "nikitavet/flood-prediction-ensemble-cat-lgbm", "kernel_id": "56442976"}, {"ref": "sauravbisht0129/flood-prediction", "kernel_id": "56916573"}, {"ref": "renjiabarai/flood-predicting-regression", "kernel_id": "56433771"}, {"ref": "shadesh/neural-network-model-for-the-flood-prediction", "kernel_id": "56250056"}, {"ref": "shadesh/implement-svm-and-knn-for-the-flood-prediction-prb", "kernel_id": "56253994"}, {"ref": "shadesh/proceed-with-regression-using-the-lightgbm-algorit", "kernel_id": "56262710"}, {"ref": "drewmatsumoto/ps4e5-sweetviz-ydata-profiling-automated-eda", "kernel_id": "56241113"}, {"ref": "drewmatsumoto/ps4e5-lightgbm-only-optuna-oof", "kernel_id": "56242856"}, {"ref": "drewmatsumoto/ps4e5-eda-feature-engineering-catboost-only", "kernel_id": "56066529"}, {"ref": "drewmatsumoto/ps4e5-lightgbm-xgboost-catboost-simple", "kernel_id": "56110948"}, {"ref": "drewmatsumoto/ps4e5-simple-blendar", "kernel_id": "56111636"}, {"ref": "ivokolarov/ps-s4-e5-eda-feature-engineering-xgboost", "kernel_id": "56409106"}, {"ref": "shivania23/flood-prediction", "kernel_id": "56525979"}, {"ref": "aravindpcoder/flood-prediction", "kernel_id": "56168459"}, {"ref": "salazhiev/catboost-tuning", "kernel_id": "56145594"}, {"ref": "niranjanniru2000/floods-detection", "kernel_id": "56465294"}, {"ref": "rajendarkatravath/flood-prediction", "kernel_id": "56212232"}, {"ref": "haideraqeeb/flood-prediction-using-tensorflow", "kernel_id": "56000593"}, {"ref": "amri11/flood-prediction", "kernel_id": "56127359"}, {"ref": "vaibhavac/s4e5-flood-prediction-keras-ann", "kernel_id": "56332781"}, {"ref": "himanshuydv11/ps-4-flood-prediction", "kernel_id": "56473802"}, {"ref": "linhhhhhhhh/s4e5-eda-regression", "kernel_id": "56083548"}, {"ref": "linhhhhhhhh/s4e5-i-tried-rnn", "kernel_id": "56995494"}, {"ref": "mikhailnaumov/flood-prediction-ensemble", "kernel_id": "56078344"}, {"ref": "vinaykashyap52/flood-prediction-simple-linear-regression", "kernel_id": "56135379"}, {"ref": "ravaghi/s04e05-flood-prediction-lightautoml", "kernel_id": "56668102"}, {"ref": "ravaghi/s04e05-flood-prediction-ensemble", "kernel_id": "56600056"}, {"ref": "antrabansal/test1", "kernel_id": "56998360"}, {"ref": "gabrielmdomingues/beginner-friendly-tutorial-0-86872", "kernel_id": "56671091"}, {"ref": "guilhermepoliveira/ensemble-weights-tuning", "kernel_id": "56673663"}, {"ref": "hikageshinomori/notebooka59b5047f9", "kernel_id": "56285001"}, {"ref": "dhruvtibarewal/tsunami-of-insights-unleashing-nns", "kernel_id": "56017556"}, {"ref": "redowanibrahim/regression-with-a-flood-prediction", "kernel_id": "56908710"}, {"ref": "dzmitrypihulski/regression-with-a-flood", "kernel_id": "56344274"}, {"ref": "abdmental01/lgbm-optimization-optuna-for-better-solution", "kernel_id": "56139596"}, {"ref": "abdmental01/ensemble-submission-top-20", "kernel_id": "56108438"}, {"ref": "alexxxsem/ps5e4-flood-prediction-sub", "kernel_id": "56438470"}, {"ref": "gauravbosamiya/regression-with-flood-prediction", "kernel_id": "56051908"}, {"ref": "zeyadsayedadbullah/flood-forecasting-with-xgboost", "kernel_id": "56287481"}, {"ref": "zeyadsayedadbullah/flood-forecasting-with-catboost", "kernel_id": "56376818"}, {"ref": "mfmfmf3/lightautoml-starter", "kernel_id": "56144385"}, {"ref": "venky9991/fetal-health-multi-classification-eda", "kernel_id": "56819650"}, {"ref": "igorvolianiuk/flood-prediction-lgbm", "kernel_id": "56133511"}, {"ref": "mehakiftikhar/predicting-floods-regression-insights", "kernel_id": "56014851"}, {"ref": "mahdifaour/floodprobability-prediction", "kernel_id": "56079768"}, {"ref": "nognog725/automl-grand-prix-nog5572-autogluon", "kernel_id": "56013081"}, {"ref": "sunilkumaradapa/unleashing-the-power-of-light-automl", "kernel_id": "56059615"}, {"ref": "zaidali11/s4e5-eda-model-compare-cat-lgb-xgb-hypertun", "kernel_id": "56021237"}, {"ref": "amirazizdatascience/regression-with-a-flood-predictions-notebook", "kernel_id": "56510562"}, {"ref": "ssyyhh/eda-of-flood-with-prediction-of-xgbregressor", "kernel_id": "56375684"}, {"ref": "ustcer1984/nothing-to-do-with-flood", "kernel_id": "56318022"}, {"ref": "akoirala111/very-simple-lgbm", "kernel_id": "56315843"}, {"ref": "akoirala111/simple-ensemble-learning-technique", "kernel_id": "56435254"}, {"ref": "chopper53/flood-prediction-xgboost", "kernel_id": "56254310"}, {"ref": "chopper53/flood-prediction-catboost", "kernel_id": "56312085"}, {"ref": "chopper53/flood-prediction-neural-network", "kernel_id": "56297011"}, {"ref": "vasudevsrivastava/flood-prediction-regression-baseline", "kernel_id": "56051034"}, {"ref": "vivekshah2004/flood-prediction-eda-fe-xgboost", "kernel_id": "56929365"}, {"ref": "khushiattri/flood-prediction", "kernel_id": "56906471"}, {"ref": "liaoguoying/ml-dl", "kernel_id": "56689544"}, {"ref": "cardata/flood-prediction-data-analysis", "kernel_id": "56499000"}, {"ref": "harshitstark/regression-with-a-flood-prediction-dataset", "kernel_id": "56941780"}, {"ref": "aaradhyakulkarni/flood-prediction-competition", "kernel_id": "56828380"}, {"ref": "ermolaevgerman/s4e5-eda-modelcv-ensemble", "kernel_id": "56126065"}, {"ref": "kashufnaeem/notebooke990da516c", "kernel_id": "56845796"}, {"ref": "eddyliu6969/r-newbie-floods-gbm-vs-xgb-method", "kernel_id": "56078019"}, {"ref": "eddyliu6969/r-newbie-floods-eda", "kernel_id": "56248547"}, {"ref": "varadkelkar02/flood-prediction", "kernel_id": "56138542"}, {"ref": "sabrinajeannin/flood-prediction-eda-linear-regression", "kernel_id": "56151108"}, {"ref": "feifeifei111/randomfroset", "kernel_id": "56287911"}, {"ref": "christianbarreto07/floodpredict-with-randomforestregressor", "kernel_id": "56264700"}, {"ref": "juliadeswartdcg/regressiontryout", "kernel_id": "56502756"}, {"ref": "sakshisatre/flood-prediction-using-linear-regression-0-84558", "kernel_id": "56814879"}, {"ref": "taylorkim819/regression-with-a-flood-prediction-dataset", "kernel_id": "56144724"}, {"ref": "saiauc/lgbm-simple-code", "kernel_id": "56853263"}, {"ref": "saiauc/linear-regression-simple-code", "kernel_id": "56853991"}, {"ref": "hephzibahakintunde/flood-predictions", "kernel_id": "56800539"}, {"ref": "simaca/0-flood-prediction-eda", "kernel_id": "56409168"}, {"ref": "zacharymcollins/stacking", "kernel_id": "56575790"}, {"ref": "vktsyp/flood-prediction-tensorflow-dnn", "kernel_id": "56743737"}, {"ref": "sebastinazamaravils/flood-prediction", "kernel_id": "56458253"}, {"ref": "butterchicken69/floodpredictionusinganns-0-85839", "kernel_id": "56267509"}, {"ref": "turagsarkar/extreetreefloodprediction", "kernel_id": "56440499"}, {"ref": "aritra100/automl-h2o-vs-linear-regression-regressor-r2-val85", "kernel_id": "56534505"}, {"ref": "adaubas/pss4e05-copy-autogluon-starter", "kernel_id": "57895371"}, {"ref": "adaubas/pss4e05-randomforest-with-gpu-and-xgboost", "kernel_id": "57797001"}, {"ref": "radema/s4e5-from-linear-to-lightgbm-regressor", "kernel_id": "57534901"}, {"ref": "aspillai/flood-prediction-regression-lgb-xgb-cat-0-86936", "kernel_id": "57548276"}, {"ref": "saptarshipal1207/flood-prediction", "kernel_id": "57226045"}, {"ref": "arpitaghosh/flood-data-prediction-linear-regression", "kernel_id": "57002973"}, {"ref": "dancapellupo/flood-prediction-featuring-data-eda-xgboost", "kernel_id": "57103509"}, {"ref": "elnahas/flood-prediction-regression-lightgbm-0-86931", "kernel_id": "57804418"}, {"ref": "eigenvalue42/clever-eda-xgboost-top-tier-score", "kernel_id": "57030946"}, {"ref": "pperna/one-feature-model-boosted-splines", "kernel_id": "57221221"}, {"ref": "dbrach/feature-importance-and-correlation-coef-comparison", "kernel_id": "57162326"}, {"ref": "dbrach/rabbit-hole-pt-1-the-modifier", "kernel_id": "57425606"}, {"ref": "dbrach/rabbit-hole-pt-2-feature-engineering", "kernel_id": "57454849"}, {"ref": "kesavsivakumar/flood-prediciton-eda-and-catboost", "kernel_id": "57482244"}, {"ref": "annastasy/ps4e5-regression-with-flood-prediction", "kernel_id": "57073968"}, {"ref": "kumarsakshat22/flood-prediction", "kernel_id": "57762124"}, {"ref": "naarku30/s4e5-pyspark-eda-fe-lr-0-849-base-model", "kernel_id": "57594984"}, {"ref": "naarku30/s4e5-flood-prediction-lgbm-0-8687", "kernel_id": "57941566"}, {"ref": "shuahuas/flood-prediction-kaggle-playground-series", "kernel_id": "57230867"}, {"ref": "meghat525/flood-data-dl-transformed-features-ml-regressor", "kernel_id": "57700451"}, {"ref": "llorenzok/on-selecting-features", "kernel_id": "57719244"}, {"ref": "ivanblch/seminar-8-stacking", "kernel_id": "57279490"}, {"ref": "ivanblch/seminar-7-blending", "kernel_id": "57076075"}, {"ref": "atifmasih/flood-probabilty-prediction-competition", "kernel_id": "57311626"}, {"ref": "marcelamanzosagez/flood-prediction-eda-linear-tree-based-models", "kernel_id": "57815301"}, {"ref": "mohamedabder/02-modelisation-flood", "kernel_id": "57077024"}, {"ref": "nakashi120/s4e5-stacking", "kernel_id": "57650279"}, {"ref": "themlphdstudent/flood-prediction-competition", "kernel_id": "57129350"}, {"ref": "sasayaka/flood-prediction-stacking-lgb-cbt-xgb-eng", "kernel_id": "57636330"}, {"ref": "sudathtennakoon/polynomial-regression-for-flood-prediction", "kernel_id": "57194588"}, {"ref": "nazninnahar/flood-prediction-using-random-forest-regressor", "kernel_id": "57020610"}, {"ref": "syntheticprogrammer/flood-predictions-with-regression-models", "kernel_id": "57677069"}, {"ref": "tdoh86/ps4e5-automl-with-flaml", "kernel_id": "57823996"}, {"ref": "jehyunhan/result-1", "kernel_id": "57155761"}, {"ref": "faisalalbasu/kaggle-playground-flood", "kernel_id": "57596418"}, {"ref": "lordpatil/catboost-statistical-features-only", "kernel_id": "57692309"}, {"ref": "lordpatil/eda-using-a-new-library", "kernel_id": "57369446"}, {"ref": "mohamedbissane/floodregression", "kernel_id": "57748808"}, {"ref": "rmehedi/ps4e5-flood-prediction-eda-mlp-pytorch", "kernel_id": "57078582"}, {"ref": "kartiktyagi1036/linear-regression-r2-score", "kernel_id": "57477371"}, {"ref": "rubanzasilva/s04e05-quick-starter-autogluon", "kernel_id": "57077389"}, {"ref": "realshaktigupta/flood-probability-data-preparation", "kernel_id": "57843323"}, {"ref": "realshaktigupta/flood-probability-nn-and-gradient-boost", "kernel_id": "57673154"}, {"ref": "risakashiwabara/optuna-lighegbm", "kernel_id": "57939686"}, {"ref": "ashkraze/flood-prediction-model-v1", "kernel_id": "57183056"}, {"ref": "isazeynalov/regression-with-a-cat-boost-xgboost", "kernel_id": "57492344"}, {"ref": "willatran/wat-s-ml-solution-flood-regression", "kernel_id": "57498190"}, {"ref": "felipemarlon/previs-o-de-enchente", "kernel_id": "57258992"}, {"ref": "ankitvarshney02/flood-regression", "kernel_id": "57081160"}, {"ref": "xyznihal/xgboost-regressor-with-a-flood-prediction-dataset", "kernel_id": "57155714"}, {"ref": "carolinaemanuele/regression-with-a-flood-prediction", "kernel_id": "57373586"}, {"ref": "imokutmfonudoh/flood-prediction", "kernel_id": "57143069"}, {"ref": "ayanabil11/flood-prediction-with-autogluon", "kernel_id": "57679841"}, {"ref": "ayanabil11/lgbmregressor-kfold", "kernel_id": "57753931"}, {"ref": "vijayadityarajrapaka/notebook8599bed6f2", "kernel_id": "57489740"}, {"ref": "yutaroatarashi/lgbm-baseline", "kernel_id": "57451462"}, {"ref": "yutaroatarashi/pss4e5-eda", "kernel_id": "57295387"}, {"ref": "mayankanand2701/flood-prediction-with-regression-models", "kernel_id": "57387635"}, {"ref": "aneeshamanke/very-easy-linear-regression-lgbm", "kernel_id": "57564377"}, {"ref": "alhsan/flood-prediction", "kernel_id": "57446197"}, {"ref": "crisbebop/catboost-flood-predictions-lb-0-86700", "kernel_id": "57162721"}, {"ref": "gizemnalbantarslan/regression-with-a-flood-prediction", "kernel_id": "57759545"}, {"ref": "nabinoli2004/trying-the-fastai-library", "kernel_id": "57670164"}, {"ref": "trupologhelper/ps4e5-openfe-blending-explain", "kernel_id": "57284284"}, {"ref": "umerloop/flood-prediction", "kernel_id": "57020788"}, {"ref": "trevorglenn/simple-tfregression", "kernel_id": "57313859"}, {"ref": "getanmolgupta01/floodprobability-xgb-lgbm-catboost-ensemble", "kernel_id": "57421454"}, {"ref": "ismailalshofi/predicting-flood-probability-a-regression-task", "kernel_id": "57237708"}, {"ref": "gimottiyamettee/regression-with-a-flood-prediction", "kernel_id": "57074916"}, {"ref": "mohammedkamalalsyd/ensemble-blending-bgwo-for-flood-prediction", "kernel_id": "57204614"}, {"ref": "almaktashi/flood-prediction-using-linear-regression", "kernel_id": "57238284"}, {"ref": "harshvardhan21/xgboost-lgbm-comparison", "kernel_id": "57950834"}, {"ref": "avicenne/flood-lr-lstm-86", "kernel_id": "57509019"}, {"ref": "parthdande/flood-prediction2", "kernel_id": "57029624"}, {"ref": "alidhl/flood-prediction-using-xgboost", "kernel_id": "57507432"}, {"ref": "saurabhru/regression-with-a-flood-prediction-dataset", "kernel_id": "57929823"}, {"ref": "aadhawanm/flood-prediction-catboost-hyperparams-tuning", "kernel_id": "57224943"}, {"ref": "rajiulhasan/notebookf2ea53c219", "kernel_id": "57104017"}, {"ref": "alienbug/hmm-boring-eda", "kernel_id": "57150420"}, {"ref": "pawelkauf/neural-networks-playground-kaggle-p4s05", "kernel_id": "57448010"}, {"ref": "mohamedaymanelzoka/notebookb5a1112a1e", "kernel_id": "57604010"}, {"ref": "martinapreusse/autogluon-performance-by-run-time", "kernel_id": "57302723"}, {"ref": "vinodkumargurjar/flood-prediction-vinod", "kernel_id": "57069942"}, {"ref": "richardhhong/flood-regression-with-neural-network", "kernel_id": "57245473"}, {"ref": "rishitaverma02/regression-with-a-flood-prediction-dataset", "kernel_id": "57188026"}, {"ref": "heon100/lightgbm-easy-version", "kernel_id": "57926058"}, {"ref": "fredericnicholson/keras-learning", "kernel_id": "57859286"}, {"ref": "sajibgta/stacking-regressor-approach", "kernel_id": "57180863"}, {"ref": "ezschneider/lgbm-to-predict-flood-probability", "kernel_id": "57757761"}, {"ref": "dmitrytrubitsin/flood-prediction-with-catboost", "kernel_id": "57499898"}, {"ref": "qamarmath/multi-layer-artificial-neural-network-for-flood-pr", "kernel_id": "57451344"}, {"ref": "qamarmath/exploring-flood-risk-data-analysis-modeling", "kernel_id": "57359535"}, {"ref": "viralbiyawala/flood-prediction-using-keras-tuner-86-175", "kernel_id": "57671033"}, {"ref": "ani231/flood-preds", "kernel_id": "57032477"}, {"ref": "baseershah/regression-with-polynomial-regression", "kernel_id": "57021073"}, {"ref": "jayeshkothavale/flood-prediction-using-xgboost", "kernel_id": "57521309"}, {"ref": "aryangupta30/simple-ensemble-learning-flood-prediction", "kernel_id": "57925482"}, {"ref": "aryangupta30/very-simple-lgbm", "kernel_id": "57923398"}, {"ref": "gulnihall/flood-prediction-lgbm-cat-xgb-optuna", "kernel_id": "57982544"}, {"ref": "rizwanash/flod-prediction", "kernel_id": "57663539"}, {"ref": "muhamadahmadbasari/flood-prediction", "kernel_id": "57172248"}, {"ref": "antrabansal/own-created-nn", "kernel_id": "57006718"}, {"ref": "ayatollahabdelhamed/flood-predictio-with-linear-regression", "kernel_id": "57988997"}, {"ref": "ayushkhaire/ps4e5-polynomial-84-513", "kernel_id": "57665568"}, {"ref": "bhumitdevni/flood-pred", "kernel_id": "57033671"}, {"ref": "michaelxyjonathan/s04e05-flood-prediction-using-lightgbm-0-86931", "kernel_id": "57291191"}, {"ref": "mfmfmf3/autogluon-starter", "kernel_id": "57054115"}, {"ref": "meloncc/autogluon-hpo-better", "kernel_id": "57768493"}, {"ref": "eren2222/flood-pred-h2o-with-r", "kernel_id": "57673126"}, {"ref": "igorvolianiuk/flood-prediction-votingregressor", "kernel_id": "57018013"}, {"ref": "marshakib/regression-with-a-flood-prediction-dataset", "kernel_id": "57112584"}, {"ref": "d1om3d3s/pss4e5-flood-prediction-eda", "kernel_id": "57262462"}, {"ref": "mhsn21/regression-with-a-flood-prediction", "kernel_id": "57244022"}, {"ref": "rassiem/votingregressor-xgb-lgbm-catboost", "kernel_id": "57334531"}, {"ref": "ustcer1984/flood-data-is-synthesized", "kernel_id": "57669261"}, {"ref": "vasudevsrivastava/flood-prediction-improved-baseline", "kernel_id": "57188649"}, {"ref": "draganpinsent98/flood-prediction-r-glm", "kernel_id": "57159781"}, {"ref": "zgrdenizelik/lgbm-0-86926-r2-score-explained", "kernel_id": "57342662"}, {"ref": "cedwards92/may-14-2024", "kernel_id": "57185206"}, {"ref": "valeriiabiruk/flood-prediction", "kernel_id": "57246341"}, {"ref": "tomvoss/linear-model-for-flood-probability", "kernel_id": "57947346"}, {"ref": "tomvoss/first-look-at-flood-data", "kernel_id": "57948130"}, {"ref": "yasirmehmood2/flood-prediction-model", "kernel_id": "57560467"}, {"ref": "muhammadhamzamaher/regression-flood-prediction-lgmb", "kernel_id": "57569350"}, {"ref": "fancifulcrow/ps-s04e05-catboost", "kernel_id": "57986310"}, {"ref": "fahizz/notebook15d0c64944", "kernel_id": "57159288"}, {"ref": "eliyahusanti/ps4e5-automl-fedot-catboost", "kernel_id": "57953201"}, {"ref": "lebinhthanh/flood-prediction-eda-train-model-tuning", "kernel_id": "57144973"}, {"ref": "nikitasairam/regression-with-a-flood-prediction-dataset", "kernel_id": "57566454"}, {"ref": "yichuanhuang/flood-prediction-xgb-lgbm-cat", "kernel_id": "57545689"}, {"ref": "samavedulashashank/flood-prediction-linear-regression", "kernel_id": "57740532"}, {"ref": "tomkrger/p-flood-ffnn-ridge-lgbm-xgb-hypersearch-permimp", "kernel_id": "57809410"}, {"ref": "anubhavregmi10/very-simple-lgbm", "kernel_id": "57094736"}, {"ref": "impaddi/notebookea790988ab", "kernel_id": "57152375"}, {"ref": "adaubas/pss4e05-1st-place-solution-ensemble-with-ridge", "kernel_id": "58476747"}, {"ref": "pmathur/flood-probability-using-knn-and-minmax-scaling", "kernel_id": "58569674"}, {"ref": "pmathur/rf-with-tuned-param-and-scaled-features", "kernel_id": "58343831"}, {"ref": "sumanth048/ps-s4e5-flood-prediction", "kernel_id": "58223044"}, {"ref": "herczeggyrgy/predicative-analytica-floodprobability-prediction", "kernel_id": "58475137"}, {"ref": "stpeteishii/academic-success-ensemble-w-votingregressor", "kernel_id": "58665179"}, {"ref": "stpeteishii/academic-success-catboost-w-optuna", "kernel_id": "58665023"}, {"ref": "stpeteishii/academic-success-ensemble-w-stackingregressor", "kernel_id": "58665113"}, {"ref": "stpeteishii/academic-success-lgbm-w-optuna", "kernel_id": "58665136"}, {"ref": "stpeteishii/academic-success-xgboost-w-optuna", "kernel_id": "58665158"}, {"ref": "muhammedtariq99/flood-prediction-project-highest-test-0-86864", "kernel_id": "58080800"}, {"ref": "samyak1729/0-85953-neural-net-with-hyper-tuning", "kernel_id": "58368012"}, {"ref": "nickfecondo/flood-prediction", "kernel_id": "58485407"}, {"ref": "kailic/flood-prediction-model-exploration", "kernel_id": "58274790"}, {"ref": "marcelamanzosagez/flood-prediction-catb-bayes-opt-target-enc", "kernel_id": "58512547"}, {"ref": "damanjeetkaur/floodprobability-eda-outlier-imputation-prediction", "kernel_id": "58672141"}, {"ref": "metehankantemir/flood-prediction-r-score-0-845", "kernel_id": "58501033"}, {"ref": "shivamjai/flood-prediction-1", "kernel_id": "58132355"}, {"ref": "shivamjai/flood-prediction-play-ground-series", "kernel_id": "58058413"}, {"ref": "chaudharyzaryab/regression-with-a-flood-prediction-dataset", "kernel_id": "58437284"}, {"ref": "vansh2101/flood-prediction", "kernel_id": "58016522"}, {"ref": "abdallahwagih/flood-prediction-competition", "kernel_id": "58443769"}, {"ref": "litvinenko630/dive-into-flood-prediction", "kernel_id": "58440270"}, {"ref": "satyaprakashshukl/h2o-automl-academic-performance", "kernel_id": "58615010"}, {"ref": "samrat12/regression-with-flood-predictiongyy", "kernel_id": "58526467"}, {"ref": "samrat12/regression-with-flood-prediction", "kernel_id": "58278702"}, {"ref": "vladimirgc/final-flood-pred", "kernel_id": "58493610"}, {"ref": "vladimirgc/03-flood-p", "kernel_id": "58016606"}, {"ref": "klyushnik/keras-model", "kernel_id": "58126237"}, {"ref": "mohamedbissane/foold-prediction", "kernel_id": "58154263"}, {"ref": "dhineshbabbu/abd-regression-with-a-flood-prediction-dataset", "kernel_id": "58263118"}, {"ref": "kartikeybartwal/flood-prediction-using-multi-layered-perceptron", "kernel_id": "58377768"}, {"ref": "kartikeybartwal/fine-tuning-flood-probability-using-keras-tuner", "kernel_id": "58415899"}, {"ref": "kartikeybartwal/flood-prediction-using-adadboost", "kernel_id": "58322592"}, {"ref": "geetakeote/floodprobabilityprediction-notebook", "kernel_id": "58363233"}, {"ref": "rubanzasilva/fastai-gradient-boosting", "kernel_id": "58778988"}, {"ref": "priyamsaha17/flood-prediction-simple-ann-with-customized-loss", "kernel_id": "58545000"}, {"ref": "uzairshafique/mlp-multilayer-perception-0-85713", "kernel_id": "58463128"}, {"ref": "jaysabnis/floodfusion-exploring-20-key-feature-interactions", "kernel_id": "58104548"}, {"ref": "mariusborel/flood-prediction-dataset-final", "kernel_id": "58540700"}, {"ref": "realshaktigupta/flood-probability-post-process", "kernel_id": "58034766"}, {"ref": "mattop/ps-s4-e5-4th-place-solution-with-hillclimbers", "kernel_id": "58613331"}, {"ref": "wowthecoder/flood-prediction-regression", "kernel_id": "58472978"}, {"ref": "jesusdeleon19/regression-with-a-flood-prediction-dataset", "kernel_id": "58322320"}, {"ref": "ayanabil11/lightgbm-xgboost-and-catboost-stacking", "kernel_id": "58132651"}, {"ref": "ayanabil11/flood-regression-xgboost-score-0-86917", "kernel_id": "58131050"}, {"ref": "irfan2959/flood-probability-prediction-ipynb", "kernel_id": "58195648"}, {"ref": "mridulgulati/flood-regression-catboost-score-0-86902", "kernel_id": "58151264"}, {"ref": "cnezhmar/eda-regression-flood-prediction-dataset", "kernel_id": "58601946"}, {"ref": "triblex/another-medal-from-blender-7-place-0-86939", "kernel_id": "58376199"}, {"ref": "dannyperez014/regression-with-a-flood-prediction-dataset", "kernel_id": "58686542"}, {"ref": "senbonzakurakagiohsi/note-s4e5", "kernel_id": "58465290"}, {"ref": "ibkya12/r-sqd-0-8690-prediction-flood-with-lgbm", "kernel_id": "58523956"}, {"ref": "mennatullaheisawy/flood-prediction-using-boosting-algorithms", "kernel_id": "58291292"}, {"ref": "swatithakur17/flood-probability-prediction", "kernel_id": "58530319"}, {"ref": "leoloho/flood-prediction-bagging-gridsearch-0-84", "kernel_id": "58567327"}, {"ref": "himanshukumar7079/flood-pred-with-reg", "kernel_id": "58372296"}, {"ref": "sohamndeshmukh/flood-prediction", "kernel_id": "58367480"}, {"ref": "matthewsfarmer/experimental-ps-4-5", "kernel_id": "58535061"}, {"ref": "chayanroy3/can-nn-prevent-flooding-score-0-85851-simply-yes", "kernel_id": "58361990"}, {"ref": "chayanroy3/flood-prediction", "kernel_id": "58256084"}, {"ref": "chayanroy3/0-86score-let-s-prevent-flooding-using-dnn", "kernel_id": "58495830"}, {"ref": "ednaxx/ps4e5-flood-prediction", "kernel_id": "58124892"}, {"ref": "abhimauryadev/flood-prediction-regression", "kernel_id": "58096278"}, {"ref": "johnnybegoode/floodpred-xgboost-randomsearch", "kernel_id": "58547838"}, {"ref": "fdemoribajolin/flood-prediction-with-nn", "kernel_id": "58379329"}, {"ref": "martinapreusse/crossvalidation-importance-of-consistency-py", "kernel_id": "58090923"}, {"ref": "huli12/s04e05-flood-prediction-ensemble", "kernel_id": "58416334"}, {"ref": "fredericnicholson/keras-learning-best-with-r2-metric", "kernel_id": "58525517"}, {"ref": "nilishakothari/notebookd553f15909", "kernel_id": "58454965"}, {"ref": "yasheshsingh/flood-prediction-using-catboost-r2-score-84-6", "kernel_id": "58480540"}, {"ref": "yasheshsingh/flood-prediction-using-mlp", "kernel_id": "58515528"}, {"ref": "yasheshsingh/flood-prediction-using-adaboost", "kernel_id": "58434695"}, {"ref": "yasheshsingh/flood-prediction-using-xgboost-score-83-7", "kernel_id": "58438252"}, {"ref": "shalukaimbs/regression-with-a-flood-prediction-dataset", "kernel_id": "58103014"}, {"ref": "yazeedalsahouri03/flood-prediction", "kernel_id": "58544080"}, {"ref": "yazeedalsahouri03/fork-of-flood-prediction", "kernel_id": "58544866"}, {"ref": "nazlnazanavc/sel-tahmini", "kernel_id": "58511615"}, {"ref": "jayalakshmiet/notebook4fb7440021", "kernel_id": "58592707"}, {"ref": "deepinderthind11/floodpredictionbydeep", "kernel_id": "58071453"}, {"ref": "amaningle11/neuralnet-with-kerastuner-0-86326", "kernel_id": "58533376"}, {"ref": "sagarmamodia/flood-prediction-0-848-xgboost-ensemble", "kernel_id": "58810285"}, {"ref": "arunl15/ensemble-model-xgb-lgbm-cbr-xgbrf-ridge", "kernel_id": "58548244"}, {"ref": "pranavmoses/flood-probability-regression", "kernel_id": "58052385"}, {"ref": "eyupatalay/dive-into-flood-prediction-806df4", "kernel_id": "58515274"}, {"ref": "sathishgsmss/flood-prediction", "kernel_id": "58350158"}, {"ref": "jasmineraihana/catboost", "kernel_id": "58489807"}, {"ref": "sowmyajayakanth/linearregression-floodprediction", "kernel_id": "58056922"}, {"ref": "manaswiniguptaiiitl/flood-prediction", "kernel_id": "58509629"}, {"ref": "myash21/linreg-dtr-xgbr-svr", "kernel_id": "58514823"}, {"ref": "abdmental01/ensemble-solution-top-3", "kernel_id": "58719688"}, {"ref": "abdmental01/lgbm-optimization-optuna", "kernel_id": "58717532"}, {"ref": "michaelxyjonathan/s04e05-flood-prediction-via-regression-0-86933", "kernel_id": "58167568"}, {"ref": "cshcsh123/ml-flood-prediction", "kernel_id": "58406863"}, {"ref": "fahmizainal/forecasting-flood-unlocking-regression-advancement", "kernel_id": "58600287"}, {"ref": "fahmizainal/flood-prediction-utilizing-tensorflow", "kernel_id": "58600325"}, {"ref": "yanndep/stacking-and-data-visualisation", "kernel_id": "58114376"}, {"ref": "promiseibediogwu/walmart-sales-dataset-analysis", "kernel_id": "58471356"}, {"ref": "akanksha995579/flood-prediction-r-score-0-845", "kernel_id": "58590707"}, {"ref": "matteobarucco/easy-features-for-0-86933", "kernel_id": "58365583"}, {"ref": "matteobarucco/lgboost-solo-0-86932", "kernel_id": "58449428"}, {"ref": "matteobarucco/cat-3", "kernel_id": "58464004"}, {"ref": "matteobarucco/xgb-3", "kernel_id": "58466303"}, {"ref": "matteobarucco/symmetric-features-0-86908-explanation", "kernel_id": "58119870"}, {"ref": "anshigupta12/flood-prediction-84", "kernel_id": "58578060"}, {"ref": "dalimi45/make-new-feature-with-dnn-and-train-lgbm-0-86511", "kernel_id": "58581224"}, {"ref": "coralblackdatabox/floodprediction", "kernel_id": "58564522"}, {"ref": "jamessuryaputra/river-raid", "kernel_id": "58428930"}, {"ref": "pradeepdubey314/flood-prediction-84", "kernel_id": "58593990"}, {"ref": "arnavsuiiiiiiiiiiii/arnav-2", "kernel_id": "58535714"}, {"ref": "fancifulcrow/ps-s04e05-lightgbm", "kernel_id": "58126776"}, {"ref": "farhankhan2844/xgboost-with-bayesearch-and-standard-scaling", "kernel_id": "58136301"}, {"ref": "sahilbanjare21/flood-prediction-sahil", "kernel_id": "58532438"}, {"ref": "iamalredygod/flood-prediction-ridgecv", "kernel_id": "58102446"}, {"ref": "elnartulegen/flood-regression-xgboost-score-0-86917", "kernel_id": "58121506"}, {"ref": "avats8484/flood-prediction-test-starter-autoencoder-cnn", "kernel_id": "58021243"}, {"ref": "divu2001/flood-prediction", "kernel_id": "58515972"}, {"ref": "chitramalam/linearregression-floodprediction-cm", "kernel_id": "58462931"}, {"ref": "vktsyp/flood-prediction-xgboost-bayes-opt", "kernel_id": "58022412"}, {"ref": "giuseppecristofaro/flood-prediction-linear-regression-0-8449-r2", "kernel_id": "58384288"}, {"ref": "bigbytebear/flood-prediction-visualization-regression-model", "kernel_id": "58455555"}, {"ref": "mevltbaaran/flood-prediction", "kernel_id": "58112606"}, {"ref": "aritra100/automl-h2o-and-regressors-featured", "kernel_id": "58502017"}, {"ref": "pamalkrmondal/flood-detection", "kernel_id": "58380256"}, {"ref": "mdisrar/regression-with-a-flood-prediction-dataset-sol1", "kernel_id": "58110171"}, {"ref": "sanchayanghosh1303/flood-prediction-with-ann-86-211", "kernel_id": "58494858"}, {"ref": "divyanshu2000/flood-prediction-regression", "kernel_id": "58278195"}, {"ref": "danijelskeledija/flood-chance-prediction-regression", "kernel_id": "58817540"}, {"ref": "syedjarullahhisham/best-sols-regress-flood-prediction-optuna-ensemble", "kernel_id": "59611426"}, {"ref": "egoluback/analyzing-anomalies-of-flood-prediction-dataset", "kernel_id": "59694237"}, {"ref": "afrologicinsect/baseline-generalized-linear-models-rmse-0-0201", "kernel_id": "59056340"}, {"ref": "mobinapoulaei/flood-prediction-in-3-ways", "kernel_id": "59284134"}, {"ref": "huli12/flood-prediction-better-hyper-optuna-lgbm", "kernel_id": "59420379"}, {"ref": "tripti17/flood-prediction-regression", "kernel_id": "60212748"}, {"ref": "ibtesamfatma/regression-flood-prediction", "kernel_id": "60087566"}, {"ref": "hikmetdevlet/2-regression-with-a-flood-prediction", "kernel_id": "60736088"}, {"ref": "fizzabatool9/flood-prediction-with-different-ml-algorithms", "kernel_id": "60122801"}, {"ref": "askingque/predicting-floods", "kernel_id": "60605219"}, {"ref": "mennatullaheisawy/flood-prediction-using-ann-with-r2-score-0-8448", "kernel_id": "60569717"}, {"ref": "ruchikarani/regression-with-a-flood-prediction-dataset", "kernel_id": "60139557"}, {"ref": "trondataana/flood-probability-prediction-using-voting-ensemble", "kernel_id": "60896124"}, {"ref": "trondataana/flood-prediction-using-ensemble", "kernel_id": "60668279"}, {"ref": "yugmaheshwari/notebookc63948f04a", "kernel_id": "60134029"}, {"ref": "monish38/flood-predictions-with-82-accuracy", "kernel_id": "60419257"}, {"ref": "theturpinator/regression-with-a-flood-prediction-dataset", "kernel_id": "61898956"}, {"ref": "adnananam/flood-prediction", "kernel_id": "61062467"}, {"ref": "akshatsharma0610/flood-prediction-using-regression", "kernel_id": "61219834"}, {"ref": "nehagupta09/flood-probability-prediction-using-regression", "kernel_id": "61052055"}, {"ref": "sohakabbani/flood-probability-prediction", "kernel_id": "61212949"}, {"ref": "samiraalipour/flood-prediction-optimized-with-optuna", "kernel_id": "61736638"}, {"ref": "umbro10/flood-prediction-using-rnn", "kernel_id": "61351738"}, {"ref": "keirenchow/regression-with-a-flood-prediction-dataset", "kernel_id": "61053899"}, {"ref": "selvasubramanians/lightgbm-regressor", "kernel_id": "62377080"}, {"ref": "kushprakhar/accuracy-85-with-regression", "kernel_id": "62428172"}, {"ref": "syednazmussakib/flood-prediction-pca-xgbregressor", "kernel_id": "62832970"}, {"ref": "abhayayare/linear-regression-model", "kernel_id": "62649268"}, {"ref": "adetoyeshearigbabuwo/flood-dataset-eda-regression-training", "kernel_id": "62866773"}, {"ref": "manintangkunathan/flood-predictor-v2", "kernel_id": "62429679"}, {"ref": "umerdaud/flood-prediction-regression-models", "kernel_id": "62715433"}, {"ref": "keyonbent/flood-predict-with-xgb-lgbm-linear-regression", "kernel_id": "62243790"}, {"ref": "albertadiwangsyah/flooding-probability-predicition", "kernel_id": "63207756"}, {"ref": "beatamarkowska1/asymmetricloss-engineering-differentappr-r2-0-88", "kernel_id": "64571029"}, {"ref": "danielgurwindas/regression-prediction-of-flood", "kernel_id": "64378505"}, {"ref": "akerachansongchuang/lr-and-tree", "kernel_id": "64271725"}, {"ref": "spoildyao/floodprobability", "kernel_id": "64471831"}, {"ref": "sejaljoshi/flood-prediction", "kernel_id": "65241503"}, {"ref": "surajwate/s4e5-flood-prediction", "kernel_id": "65748323"}, {"ref": "prokshitha/logistic-regression-flood-prediction", "kernel_id": "65304462"}, {"ref": "babsmatt/babsmatt-flood-probability-linear-regression", "kernel_id": "66629933"}, {"ref": "ramakrushnamohapatra/regression-with-flood-prediction", "kernel_id": "66370633"}, {"ref": "shreyasur965/flood-probability-prediction", "kernel_id": "66544076"}, {"ref": "abhishekpanwar9253/floodprobabilityprediction", "kernel_id": "66744786"}, {"ref": "monakhaledali/flood-prediction-using-ann", "kernel_id": "66222201"}, {"ref": "wolflxchuppy/flood-prediction", "kernel_id": "67250754"}, {"ref": "ripohengker/competition-kelompok-4", "kernel_id": "67970293"}, {"ref": "erenkonta/dl-regression-ile-sel-tahmini", "kernel_id": "68913407"}, {"ref": "cookieaku/huiguimoxing", "kernel_id": "69322251"}, {"ref": "cookieaku/the-first-version-of-the-model-e66133", "kernel_id": "69918827"}, {"ref": "toddstorehouse/notebooktorch", "kernel_id": "69734095"}, {"ref": "anqizhong/notebook879d4ae99d", "kernel_id": "69322292"}, {"ref": "anqizhong/the-first-version-of-the-model", "kernel_id": "69377191"}, {"ref": "denrmdani/flood-prediction-with-linear-regression", "kernel_id": "70085992"}, {"ref": "pujancozu/flood-predection", "kernel_id": "71338705"}, {"ref": "snehalkhandewale/flood-prediction-eda-lr", "kernel_id": "71365789"}, {"ref": "lakshaysharma77/flood-prediction-baseline-code", "kernel_id": "71016342"}, {"ref": "ugurokarapunar/flood", "kernel_id": "71149872"}, {"ref": "skytao1314/prediction-by-pytorch", "kernel_id": "72965997"}, {"ref": "dreamlong/blood-predict", "kernel_id": "72308712"}, {"ref": "justinsteve/flood-probability-prediction-using-regression", "kernel_id": "75862198"}, {"ref": "aryankabir/flood-prediction-using-linear-regression-0-84558", "kernel_id": "75420578"}, {"ref": "akhilkammila/2-line-prediction-score-0-8653", "kernel_id": "76090482"}, {"ref": "daaniell/autogluon-starter", "kernel_id": "78498638"}, {"ref": "satyaprakashshukl/h20-podcast-listening-time-ensemble", "kernel_id": "79984473"}, {"ref": "ajiabdulaziz/my-flood-prediction", "kernel_id": "80547213"}, {"ref": "penbenur/regression-with-a-flood-prediction-dataset", "kernel_id": "80021531"}, {"ref": "ugurcan95/flood-prediction", "kernel_id": "81369086"}, {"ref": "diphylleia/flood-hazard", "kernel_id": "83049231"}, {"ref": "vekovtsevviacheslav/flood-prediction-spbu", "kernel_id": "83231659"}, {"ref": "ouzhanakr/late-submission-ps-s4e5-xgboost", "kernel_id": "89376120"}, {"ref": "markallenantonio/midterm-exam", "kernel_id": "91307774"}, {"ref": "karthikestasiddhi/flood", "kernel_id": "92067247"}, {"ref": "samlakhmani/s4e5-dl-with-oof-strategy", "kernel_id": "94590938"}, {"ref": "thuandao/flood-prediction-eda-ml", "kernel_id": "94807193"}, {"ref": "pachava07/flood-prediction", "kernel_id": "96176855"}, {"ref": "swas06/floodprediction-eda", "kernel_id": "101319058"}, {"ref": "mwanginotfound/crop-yield-wraggling", "kernel_id": "101199120"}, {"ref": "leyuzakoksoken/flood-prediction-using-ridge-regression", "kernel_id": "108371734"}, {"ref": "zeynepkarabulut/regression-with-a-flood-prediction-dataset", "kernel_id": "109788898"}, {"ref": "enesyama/flood-predictionregression", "kernel_id": "109077070"}, {"ref": "osmanozcanli/late-submission-ps-s4e5-xgboost", "kernel_id": "109971575"}, {"ref": "muhammadihsanfaiz/regression-with-a-flood-predicition-dataset", "kernel_id": "112055634"}, {"ref": "omeraydin1/flood-prediction", "kernel_id": "114206130"}, {"ref": "nina2025/ps-s4e5-polar-h-blend", "kernel_id": "115252179"}, {"ref": "akbarprdna/flood-probability-prediction-lightgbm-xgboost", "kernel_id": "115759020"}, {"ref": "woonjtang/flood-prediction-via-regression", "kernel_id": "122416133"}, {"ref": "cngnguy3413/du-doan-song-sot", "kernel_id": "126044985"}, {"ref": "zqx960151285/regression-with-a-flood-prediction-dataset", "kernel_id": "129674024"}]}
{"competition_id": "73290", "kernels": [{"ref": "adityakbhatia/academic-success-prediction", "kernel_id": "50682027"}, {"ref": "pawelkauf/eda-starter-notebook", "kernel_id": "51780944"}, {"ref": "ivanblch/seminar4", "kernel_id": "52598322"}, {"ref": "chanchal24/steel-plate-defect-prediction", "kernel_id": "52299429"}, {"ref": "abdmental01/lgbm-optimization-optuna-for-better-solution", "kernel_id": "56139596"}, {"ref": "adaubas/pss4e06-eda-preparation-vizualization", "kernel_id": "58697078"}, {"ref": "uzdavinys/pg-s04e06-competition-stats", "kernel_id": "58841169"}, {"ref": "rockiecao/pss4e6-gbm-classifier-ensemble", "kernel_id": "58676004"}, {"ref": "rockiecao/pss4e6-academicsuccess-eda-pycaret", "kernel_id": "58653729"}, {"ref": "radema/s4e6-eda-causal-analysis", "kernel_id": "58829866"}, {"ref": "optimistix/autogluon-quick-0-83640", "kernel_id": "58686189"}, {"ref": "jotaro/s4e6-random-forest-5-fold-oof-preds", "kernel_id": "58808644"}, {"ref": "jotaro/s4e6-lgbm-5-fold-oof-preds-optun-ed", "kernel_id": "58865762"}, {"ref": "jotaro/s4e6-catboost-5-fold-oof-preds", "kernel_id": "58908150"}, {"ref": "jotaro/the-first-minute-eda-s4e6", "kernel_id": "58715429"}, {"ref": "jotaro/s4e6-xgb-5-fold-oof-preds", "kernel_id": "58962040"}, {"ref": "jotaro/s4e6-cat-lgb-xgb-ensemble-and-hillclimbing", "kernel_id": "58987284"}, {"ref": "aspillai/academic-dataset-lightgbm-0-83954", "kernel_id": "58952846"}, {"ref": "rahullalu/classifying-academic-success-eda-and-baseline", "kernel_id": "58673563"}, {"ref": "docxian/ps-s4-e06-academic-success-multiclass", "kernel_id": "58638504"}, {"ref": "oscarm524/ps-s4-ep6-eda-modeling-submission", "kernel_id": "58614630"}, {"ref": "iworeushankaonce/s4e6-intro-basic-eda-cr-ambrosm", "kernel_id": "58611970"}, {"ref": "akmalmir/academic-2024-automl-autoxgb-regression", "kernel_id": "58611713"}, {"ref": "akmalmir/ensemblebest-automl-2024", "kernel_id": "58684869"}, {"ref": "giordan/vanilla-catboost-full-pipeline-s04-e06-0-83326", "kernel_id": "58910095"}, {"ref": "omarvivas/cb-tpgs-s4e6-v2", "kernel_id": "58832834"}, {"ref": "stpeteishii/academic-success-visualize-importance", "kernel_id": "58664577"}, {"ref": "stpeteishii/academic-success-histplot", "kernel_id": "58663985"}, {"ref": "stpeteishii/academic-success-ensemble-w-votingregressor", "kernel_id": "58665179"}, {"ref": "stpeteishii/academic-success-catboost-w-optuna", "kernel_id": "58665023"}, {"ref": "stpeteishii/academic-success-ensemble-w-stackingregressor", "kernel_id": "58665113"}, {"ref": "stpeteishii/academic-success-lgbm-w-optuna", "kernel_id": "58665136"}, {"ref": "stpeteishii/academic-success-xgboost-w-optuna", "kernel_id": "58665158"}, {"ref": "blade007/average-approach-to-classification", "kernel_id": "58623775"}, {"ref": "basu1999/automl-grand-prix-flaml-feature-engineering", "kernel_id": "58668666"}, {"ref": "mpwolke/gemmakeras-on-academic-success", "kernel_id": "58678989"}, {"ref": "mpwolke/students-dropouts-academic-success", "kernel_id": "58613175"}, {"ref": "mpwolke/playground-s4e6-umap", "kernel_id": "58950575"}, {"ref": "allegich/academic-succes-classification-eda-models-sub", "kernel_id": "58646496"}, {"ref": "muhammedtariq99/academic-success-classification-test-0-83679", "kernel_id": "58667906"}, {"ref": "catadanna/tab-jun-2024", "kernel_id": "58630632"}, {"ref": "devsubhash/predict-academic-success-multiclass-eda", "kernel_id": "58734381"}, {"ref": "hittmg/240604classification-with-an-academic-success-data", "kernel_id": "58890398"}, {"ref": "carlmcbrideellis/automl-grand-prix-cme-blend-2", "kernel_id": "58677532"}, {"ref": "nickfecondo/academic-success", "kernel_id": "58685119"}, {"ref": "anrenk/oh-my-gotto-its-swag", "kernel_id": "58999443"}, {"ref": "ganeshstemx/academic-success-lightgbm-f1-score", "kernel_id": "58625429"}, {"ref": "kailic/academic-risk-exploration-of-models", "kernel_id": "58718201"}, {"ref": "timuroeztuerk/playgrounds-s4e6-macroeconomic-features", "kernel_id": "58661251"}, {"ref": "yeonseokcho/academic-success-classification", "kernel_id": "58692997"}, {"ref": "hopesb/academic-success", "kernel_id": "58749749"}, {"ref": "thiagomantuani/ps4e6-classification-academic-get-started", "kernel_id": "58610866"}, {"ref": "mohamedabder/01-eda-academic-success", "kernel_id": "58977504"}, {"ref": "tracyporter/play-4-6-tf-softmax", "kernel_id": "58707223"}, {"ref": "avikun91/just-finished-intermediate-machine-learning-course", "kernel_id": "58911835"}, {"ref": "yekahaaagayeham/academic-success-eda-model-submission", "kernel_id": "58685259"}, {"ref": "sasayaka/0-83744-academic-success-eda-lgb-eng", "kernel_id": "58689058"}, {"ref": "matsumuranaoki/light-model-with-random-forest-classifier", "kernel_id": "58682869"}, {"ref": "thomasmeiner/ps4e6-bluecast-single-model", "kernel_id": "58962629"}, {"ref": "thomasmeiner/ps4e6-automl-grand-prix-bluecast", "kernel_id": "58630375"}, {"ref": "kkoba619/ps-s4e6-pycaret-simple", "kernel_id": "58642845"}, {"ref": "abdullatifkaban/classification-with-an-academic-success-dataset", "kernel_id": "58807929"}, {"ref": "roberthatch/autogp2-fe-roc-auc-ovo", "kernel_id": "58673523"}, {"ref": "roberthatch/automl-2nd-place-plus-inspect-public-lb-subs", "kernel_id": "58767752"}, {"ref": "roberthatch/automl-lgb-model-0-83699-lb-0-83370-cv", "kernel_id": "58967614"}, {"ref": "jimgruman/what-took-you-so-long-to-graduate", "kernel_id": "58681953"}, {"ref": "vladimirmijatovic/xgboost-with-hyperparameter-tuning", "kernel_id": "58921452"}, {"ref": "vladimirmijatovic/academic-success-h2o-baseline-in-r", "kernel_id": "58909156"}, {"ref": "eldarsarajlic/including-the-external-dataset-to-the-model", "kernel_id": "58682378"}, {"ref": "jocelyndumlao/predicting-student-target-with-pycaret", "kernel_id": "58638407"}, {"ref": "srsses/academic-sucess", "kernel_id": "58731778"}, {"ref": "mdismielhossenabir/xai-and-eda-for-academic-success", "kernel_id": "58621200"}, {"ref": "munabhusal/which-is-useful-ml-or-dl-academi-success-modeling", "kernel_id": "58918105"}, {"ref": "ambrosm/pss4e6-eda-which-makes-sense", "kernel_id": "58611076"}, {"ref": "crisleyoliveira/classification-academic-success", "kernel_id": "58828528"}, {"ref": "satyaprakashshukl/droput-graduate-analysis", "kernel_id": "58612055"}, {"ref": "satyaprakashshukl/h2o-automl-academic-performance", "kernel_id": "58615010"}, {"ref": "aschamp/pgs4e6-eda-and-initial-feature-engineering", "kernel_id": "58992549"}, {"ref": "ravi20076/playgrounds4e06-autogluon-starter", "kernel_id": "58617712"}, {"ref": "ravi20076/playgrounds4e06-eda-baseline", "kernel_id": "58612331"}, {"ref": "ravi20076/playgrounds4e06-lama-v1", "kernel_id": "58618880"}, {"ref": "ravi20076/playgrounds4e06-modeblend", "kernel_id": "58698755"}, {"ref": "klyushnik/defolt-classification", "kernel_id": "58876809"}, {"ref": "bryamblasrimac/classification-academic-votingclassifier", "kernel_id": "58757318"}, {"ref": "lordpatil/s4e5-decision-trees-for-intelligibility", "kernel_id": "58717143"}, {"ref": "susanketsarkar/student-dropout-prediction-beginner-notebook", "kernel_id": "58706865"}, {"ref": "susanketsarkar/autogluon-for-academic-success-prediction", "kernel_id": "58838155"}, {"ref": "bencoldham/pretty-eda-academic-success", "kernel_id": "58660271"}, {"ref": "rubanzasilva/fastai-gradient-boosting", "kernel_id": "58778988"}, {"ref": "rubanzasilva/autogluon-starter", "kernel_id": "58637093"}, {"ref": "rzatemizel/single-model-baseline-lgbm", "kernel_id": "58834506"}, {"ref": "rzatemizel/lgbm-catb-xgb-nn-voting-or-stacking", "kernel_id": "58655814"}, {"ref": "jaysabnis/ps-s4-ep6-simple-catboost-classifier", "kernel_id": "58637917"}, {"ref": "mariusborel/randomforest-lgbm-voting-classification", "kernel_id": "58862389"}, {"ref": "mariusborel/benchmark-base-model", "kernel_id": "58611009"}, {"ref": "kapturovalexander/kapturov-s-solution-of-ps-s4e6", "kernel_id": "58632036"}, {"ref": "samvelkoch/eda-by-autogluon", "kernel_id": "58620221"}, {"ref": "husnashamlik/academic-success-classification-by-descision-tree", "kernel_id": "58785480"}, {"ref": "priyanshu594/academic-success-eda-catboost-optuna", "kernel_id": "58674211"}, {"ref": "mattop/ps-s4-e6-can-kneighborsclassifier-be-competitive", "kernel_id": "58848403"}, {"ref": "akokoo/s4e06-data-xgb-eda-model-tuning", "kernel_id": "58762146"}, {"ref": "chanchal24/classification-with-an-academic-success-dataset", "kernel_id": "58669596"}, {"ref": "sujithmandala/s4e6-pycaret-classification", "kernel_id": "58670719"}, {"ref": "sajjadhajian/uncovering-patterns-eda-insights-boosting-voting", "kernel_id": "58613470"}, {"ref": "francescoliveras/ps-s4-e6-eda-model-en-es", "kernel_id": "58772698"}, {"ref": "akhiljethwa/playground-s4e6-eda-lightgbm", "kernel_id": "58620991"}, {"ref": "grooper/baseline-algorithm-comparison-for-academic-data", "kernel_id": "58570389"}, {"ref": "grooper/academic-success-training-with-lightgbm-cv", "kernel_id": "58699143"}, {"ref": "grooper/tabnet-eda-try-nn-algorithm-for-table-data", "kernel_id": "58897876"}, {"ref": "grooper/data-explore-with-ydata-profiling", "kernel_id": "58816493"}, {"ref": "aneeshamanke/academic-success-eda-modelling-acc-100", "kernel_id": "58774819"}, {"ref": "ucas0v0zhuoqunli/pss4e6-flaml", "kernel_id": "58633026"}, {"ref": "hibana2077/classification-with-an-academic-success-dataset", "kernel_id": "58860942"}, {"ref": "jorjo2009/academic-success-eda-catboost-xgb-lgb", "kernel_id": "58886008"}, {"ref": "natchaphonkamhaeng/pg-s04-e06-predict-student-dropout", "kernel_id": "58794823"}, {"ref": "dem0nking/s04e06-academic-success-classification-83-acc", "kernel_id": "58770126"}, {"ref": "cristhianccalah/models-tensorflow-decision-forests", "kernel_id": "58751126"}, {"ref": "habilamar/xgboost-kaggle-pg-s4e6", "kernel_id": "58817289"}, {"ref": "gallo33henrique/ps4e6-ml-turing-hyperparameters-lightgbm", "kernel_id": "58860210"}, {"ref": "getanmolgupta01/success-prediction-xgb-lgbm-cb-stacking", "kernel_id": "58700993"}, {"ref": "vishnupriyagarige/academic-success-classification", "kernel_id": "58748245"}, {"ref": "yunsuxiaozi/ps4e6-lgb-is-enough", "kernel_id": "58964126"}, {"ref": "gyogyocat/ps4e6-simple-gbm-tune-cat", "kernel_id": "58611749"}, {"ref": "debamritapaul/let-s-predict-academic-success-rfc-catboost", "kernel_id": "58702437"}, {"ref": "neupane9sujal/s04e06-classification-academic-success-lgbm", "kernel_id": "58630039"}, {"ref": "abdullahaliabdullah/classification-with-an-academic-success-dataset", "kernel_id": "58669473"}, {"ref": "abeshith/timeseries-forecasting-aarima-s-aarima", "kernel_id": "58914297"}, {"ref": "abeshith/optuna-catboost-tuning", "kernel_id": "58619370"}, {"ref": "sohamndeshmukh/academic-success", "kernel_id": "58865301"}, {"ref": "juanpablolagos/academic-success-lgbm-eda", "kernel_id": "58855915"}, {"ref": "anmol111pal/academic-success-prediction", "kernel_id": "58697412"}, {"ref": "azeemkhan417/academic-success", "kernel_id": "58792223"}, {"ref": "sztnhopsz/classification-challenge", "kernel_id": "58623692"}, {"ref": "matthewsfarmer/that-flaml-ized-lgbm-one", "kernel_id": "58821183"}, {"ref": "parthdande/ps-s4-ep6-eda-submission", "kernel_id": "58617746"}, {"ref": "edacelikeloglu/stackingbaggingdeep", "kernel_id": "58715201"}, {"ref": "chayanroy3/academic-success", "kernel_id": "58772217"}, {"ref": "darkdevil18/0-84042-ensemble-voting-no-feature-eng", "kernel_id": "58713932"}, {"ref": "ednaxx/ps4e6-academic-success-classification", "kernel_id": "58744921"}, {"ref": "alkidiarete/academic-success-xgboost", "kernel_id": "58687089"}, {"ref": "neilanshchauhan/ps4-e6-simple-baseline-acc-0-83464", "kernel_id": "58620369"}, {"ref": "arunklenin/ps4e6-academic-success-classification-ensemble", "kernel_id": "58706451"}, {"ref": "ivankucherov/academic-success-classification", "kernel_id": "58691394"}, {"ref": "fdemoribajolin/academic-success-final", "kernel_id": "58788004"}, {"ref": "pawelkauf/the-only-eda-you-need", "kernel_id": "58671281"}, {"ref": "samanfatima7/a-dive-into-success-prediction", "kernel_id": "58648070"}, {"ref": "kalpanagarige/classification-with-an-academic-success-dataset", "kernel_id": "58804698"}, {"ref": "vinodkumargurjar/classification-vinod", "kernel_id": "58895251"}, {"ref": "rishitaverma02/classification-with-an-academic-success-dataset", "kernel_id": "58837073"}, {"ref": "manafabduljabbar/success-with", "kernel_id": "58746533"}, {"ref": "renjiabarai/classification-with-hard-rules", "kernel_id": "58872211"}, {"ref": "renjiabarai/academic-success-classification", "kernel_id": "58847636"}, {"ref": "rafaqatkhan608/academic-success-classification", "kernel_id": "58968315"}, {"ref": "khushimittal27/classification-academic-success-dataset", "kernel_id": "58727811"}, {"ref": "pratapkr/votingensemble", "kernel_id": "58710284"}, {"ref": "shivania23/classification-of-academic-success-eda-models", "kernel_id": "58875796"}, {"ref": "ttd113/ps4-e6-eda-auto", "kernel_id": "58634347"}, {"ref": "muhammadawaistayyab/ps4e6-autogluon", "kernel_id": "58649736"}, {"ref": "samiraalipour/lightautoml-academicsuccess", "kernel_id": "58818812"}, {"ref": "higodm2/pss4e6-starter-notebook-for-academic-success", "kernel_id": "58777312"}, {"ref": "iamdebjitmandal/prediction-of-academic-risk", "kernel_id": "58983996"}, {"ref": "amri11/classification-academic-success-eda-predict", "kernel_id": "58763958"}, {"ref": "ddosad/ps4e6-academic-success-in-depth-eda-automl", "kernel_id": "58657856"}, {"ref": "sardorwwe/notebook5fc946fdf0", "kernel_id": "58730166"}, {"ref": "rizwanash/classification-with-academic-eda-models", "kernel_id": "58860712"}, {"ref": "mikhailnaumov/academic-success-ensemble", "kernel_id": "58639149"}, {"ref": "ravaghi/s04e06-academic-success-lightautoml", "kernel_id": "58627154"}, {"ref": "ravaghi/s04e06-academic-success-autogluon", "kernel_id": "58624847"}, {"ref": "ravaghi/s04e06-academic-success-ensemble", "kernel_id": "58992414"}, {"ref": "ravaghi/s04e06-academic-success-voting", "kernel_id": "58995075"}, {"ref": "ravaghi/s04e06-academic-success-stacking", "kernel_id": "58993370"}, {"ref": "antrabansal/submission-to-the-competition", "kernel_id": "58614132"}, {"ref": "sathishgsmss/academic-success-ratio-prediction", "kernel_id": "58986797"}, {"ref": "ayushkhaire/ps4e6", "kernel_id": "58629982"}, {"ref": "timofeyyyyyy/blending-and-fully-connected-network", "kernel_id": "58735593"}, {"ref": "timofeyyyyyy/xgboost-tune", "kernel_id": "58712379"}, {"ref": "darshanvg/classification-on-academic-success-lr-rf-gbc-svm", "kernel_id": "58774941"}, {"ref": "abdmental01/ensemble-solution-top-3", "kernel_id": "58719688"}, {"ref": "abdmental01/lgbm-optimization-optuna", "kernel_id": "58717532"}, {"ref": "abdmental01/ps4e6-autogluon-boost-your-code", "kernel_id": "58701531"}, {"ref": "abdmental01/ps4e6-eda-modeling-optuna", "kernel_id": "58647926"}, {"ref": "michaelxyjonathan/s04e06-academic-success-eda-and-classification", "kernel_id": "58617187"}, {"ref": "igorvolianiuk/academic-success-lgbm", "kernel_id": "58641217"}, {"ref": "khangtran94vn/khang-classification-academic", "kernel_id": "58776378"}, {"ref": "vbslchanakya/classification-with-an-academic-success-lightgbm", "kernel_id": "58694155"}, {"ref": "mohamedgobara/pss4e6-starter-notebook-for-academic-success", "kernel_id": "58734656"}, {"ref": "matteobarucco/easy-new-features-for-academic-success", "kernel_id": "58684609"}, {"ref": "matteobarucco/autogluon-starter", "kernel_id": "58610896"}, {"ref": "marcinmyczka/pss4e6-data", "kernel_id": "58629127"}, {"ref": "sid4ds/ps-s4e6-00-data-overview-catboost-baseline", "kernel_id": "58611008"}, {"ref": "yteshima/ps4s6-eda-ipywidgets-predict-xgb-et-al", "kernel_id": "58611101"}, {"ref": "muratefe/s4e6-academic-success-eda-automl-visualization", "kernel_id": "58838059"}, {"ref": "sauravdas07/academic-pressure-vs-student-status", "kernel_id": "58701873"}, {"ref": "bozkurtayhan/academic-success-classification-eda-model-sub", "kernel_id": "58661797"}, {"ref": "hemanthhvv/stratifiedk-xgb-optuna-features", "kernel_id": "58621987"}, {"ref": "harshitarya003/dl-vs-ml-need-feedback", "kernel_id": "58896055"}, {"ref": "gourabr0y555/s4e6-eda-random-forests", "kernel_id": "58667949"}, {"ref": "ermolaevgerman/s4e06-fulleda-featurepipeline", "kernel_id": "58874568"}, {"ref": "kota0806/s04e06-academic-success-compare-classification", "kernel_id": "58983204"}, {"ref": "mustafaenesaygn/academic-success-classification", "kernel_id": "58789125"}, {"ref": "haruharo101/haru-model-casd", "kernel_id": "58669796"}, {"ref": "shibaji18/academic-success-classification", "kernel_id": "58664469"}, {"ref": "eliyahusanti/ps4e6-automl-fedot-8-hours-0-83395", "kernel_id": "58617623"}, {"ref": "eliyahusanti/ps4e6-automl-fedot-xgboost-0-83415", "kernel_id": "58613377"}, {"ref": "feifeifei111/study-lgbm", "kernel_id": "58653249"}, {"ref": "monish38/classification", "kernel_id": "58708689"}, {"ref": "sakshisatre/predicting-academic-success-eda-rf-dt-knn-lr", "kernel_id": "58738585"}, {"ref": "alexanderskawran/random-forest-classifier-academic-success", "kernel_id": "58633100"}, {"ref": "bibekbhusal0/ps-s4e6-classification-with-neural-network", "kernel_id": "58624903"}, {"ref": "aliashraf6649/academic-success-classification-0-83091", "kernel_id": "58800537"}, {"ref": "dead2lock/academic-submission", "kernel_id": "58923131"}, {"ref": "fleagne/academic-success-svm-acc-0-81464", "kernel_id": "58790783"}, {"ref": "fleagne/academic-success-nn-tfdf-acc-0-83071", "kernel_id": "58620200"}, {"ref": "fleagne/academic-success-voting-acc-0-83728", "kernel_id": "58630806"}, {"ref": "greadyknight/competition-1-predicting-academic-success", "kernel_id": "58687302"}, {"ref": "humayun443/notebookddc2d8bc26", "kernel_id": "58625068"}, {"ref": "hilalalpak/academic-success-dataset-eda", "kernel_id": "58835813"}, {"ref": "ahmedhassansaqr/academic-success-classification", "kernel_id": "58717253"}, {"ref": "danijelskeledija/academic-success-prediction-classification-lgbm", "kernel_id": "58985051"}, {"ref": "johnkennethanders/academicdataset-mlp", "kernel_id": "58992722"}, {"ref": "adaubas/pss4e06-strategies-to-reduce-stddev-accuracy", "kernel_id": "59244309"}, {"ref": "bkanupam/ps4e6-top100-lightgbm", "kernel_id": "59527278"}, {"ref": "jotaro/cat-lgb-xgb-optuna-ens-thoughts-insights", "kernel_id": "59075437"}, {"ref": "jotaro/s4e6-optuna-lgbm-hyperparam-tuning", "kernel_id": "59001149"}, {"ref": "rahullalu/classifying-academic-success-automl-tpot", "kernel_id": "59453482"}, {"ref": "maysaasalama/academic-success", "kernel_id": "59469509"}, {"ref": "agileteam/s4e6-baseline-0-82", "kernel_id": "59532729"}, {"ref": "kesavsivakumar/bivariate-pca-catboost-score-0-825", "kernel_id": "59378652"}, {"ref": "tanakasandesuka/pss4e6-easy-model", "kernel_id": "59445471"}, {"ref": "tarzon/academic-success-eda-and-classification", "kernel_id": "59205135"}, {"ref": "atifmasih/students-success-prediction-using-rf-dt-gdc", "kernel_id": "59693204"}, {"ref": "mehrankazeminia/2-lgbm-academic-success-ps4e6", "kernel_id": "59290336"}, {"ref": "mehrankazeminia/1-eda-academic-success-ps4e6", "kernel_id": "59285580"}, {"ref": "mehedeehassan/academic-success-eda-baseline", "kernel_id": "59365093"}, {"ref": "tnssivani/classification-with-an-academic-success-dataset", "kernel_id": "59643753"}, {"ref": "hopesb/eda-academic-success", "kernel_id": "59287061"}, {"ref": "gautamdhall/83-ensemble-techniques-eda-guide", "kernel_id": "59956229"}, {"ref": "mohamedabder/02-modelisation-academic-success", "kernel_id": "59463677"}, {"ref": "tracyporter/play-4-6-tf-extratrees", "kernel_id": "59023237"}, {"ref": "tracyporter/play-4-6-tf-softmax-dict", "kernel_id": "59005109"}, {"ref": "tracyporter/play-4-6-rfc-feature-importance", "kernel_id": "59891855"}, {"ref": "tracyporter/play-4-6-et-feature-importance-drop-features", "kernel_id": "59903707"}, {"ref": "idrissjairi/academic-success-dataset-using-tree-based-models", "kernel_id": "59043785"}, {"ref": "furioussavenger/academic-success-train", "kernel_id": "59241497"}, {"ref": "thomasmeiner/ps4e6-minimal-code-example", "kernel_id": "59182395"}, {"ref": "imbishal7/academic-success-classification", "kernel_id": "59606002"}, {"ref": "snehilatiwari/academic-success-eda", "kernel_id": "59154289"}, {"ref": "masoodjafarikang/eda-model-development-auto-ml", "kernel_id": "59564398"}, {"ref": "josephbenofficial/academic-success-data-catboost-lgbm-0-836", "kernel_id": "59143825"}, {"ref": "mhadani/academic-success-xgbclassifier", "kernel_id": "59462913"}, {"ref": "gabedossantos/3-cells-xgboost-and-gridsearch-all-you-need", "kernel_id": "59910088"}, {"ref": "eddieamimo/starter-notebook", "kernel_id": "59260613"}, {"ref": "richa1singh/academic-success-dataset-eda", "kernel_id": "59723512"}, {"ref": "nurulsakinah/academic-success-classification-rf-lgbm", "kernel_id": "59620309"}, {"ref": "swarnabh31/ml-for-academic-success-classification", "kernel_id": "59060872"}, {"ref": "sohaibmoradi/ps-s4e6-eda-feature-engineering-ensemble", "kernel_id": "59413833"}, {"ref": "soumyaratnadebnath/soumyaratna", "kernel_id": "59179184"}, {"ref": "litvinenko630/academic-destiny-dropout-grad-enrolled", "kernel_id": "59464725"}, {"ref": "ayaabdalsalam/classification-with-acadimic-success", "kernel_id": "59561616"}, {"ref": "likhon148/eda-tf-outlier-clipping", "kernel_id": "59926269"}, {"ref": "faisalalbasu/kaggle-pg-academics", "kernel_id": "59014403"}, {"ref": "manas28/academic-success-classification-pytorch-ann", "kernel_id": "59243589"}, {"ref": "suehuynh/academic-success-classification", "kernel_id": "59117113"}, {"ref": "aski1140/autoencoders-and-deep-learning-academic-success", "kernel_id": "59061852"}, {"ref": "swish9/june-challenge-automl-hgb-xgb-pca", "kernel_id": "59243250"}, {"ref": "colekrudwig/s4e6-academic-success", "kernel_id": "59131292"}, {"ref": "anotherbadcode/eda-academic-success", "kernel_id": "59106795"}, {"ref": "maharanasaroj/academic-classification-eda-ml-predict", "kernel_id": "59886511"}, {"ref": "rzatemizel/7th-place-solution-stacking", "kernel_id": "59944452"}, {"ref": "ahmed3okka/pg-s4-e6-eda-modeling-submission", "kernel_id": "59006507"}, {"ref": "agirmaus/ml-academic-dropout-prediction", "kernel_id": "59073053"}, {"ref": "gkanamoto/classifying-academic-success-baseline-pycaret", "kernel_id": "59282004"}, {"ref": "snneva/comp-s4e5", "kernel_id": "59984917"}, {"ref": "samvelkoch/kifli-eda-by-autogluon", "kernel_id": "59427266"}, {"ref": "willatran/wat-s-ml-eda-pss4e6", "kernel_id": "59239604"}, {"ref": "liamjparker/eda-by-liam-gpt4o", "kernel_id": "59014339"}, {"ref": "onlykaggle/playground-season4-ep6", "kernel_id": "59643786"}, {"ref": "bhaveshg20/academic-success-classification-by-optimizing-algo", "kernel_id": "59095299"}, {"ref": "gmudit/ps-s4e6-starter-code-beginner-intermediate", "kernel_id": "59212448"}, {"ref": "harharharhar/s04e6-academy-catboost-2-0", "kernel_id": "59350513"}, {"ref": "hossein612/academic-prediction", "kernel_id": "59752162"}, {"ref": "stanxwong/dtsa5509-supervise-learning-final-project", "kernel_id": "59169733"}, {"ref": "rafe12/83-4-accuracy-catboost-academic-success", "kernel_id": "59335983"}, {"ref": "suhithayalamanchili/suhitha", "kernel_id": "59409420"}, {"ref": "crisbebop/feature-selection-genetic-algorithm", "kernel_id": "59211822"}, {"ref": "abbasseifossadat/academic-success-voting-cls-acc-0-83611", "kernel_id": "59089604"}, {"ref": "endofnight17j03/academicsuccess-voting-xgboost", "kernel_id": "59008701"}, {"ref": "atharva0577/s4e6-pytorch-xgb-lgbm-optuna", "kernel_id": "59090229"}, {"ref": "trevorglenn/academic-success-catboostclassifier", "kernel_id": "59483589"}, {"ref": "waleedejaz/eda-models-ensemble", "kernel_id": "59252008"}, {"ref": "neupane9sujal/lightautoml", "kernel_id": "59058921"}, {"ref": "sandeepsharma94169/xtensive-eda-accuracy-with-diff-diff-models", "kernel_id": "59060222"}, {"ref": "iamhassantahir/academic-success-competetion-notebook", "kernel_id": "59436693"}, {"ref": "therealarnab/academic-success-classification", "kernel_id": "59827676"}, {"ref": "avicenne/classification-analysis-and-prediction", "kernel_id": "59361141"}, {"ref": "abhishekjain117/xgboost-classifier", "kernel_id": "59883872"}, {"ref": "abhishekjain117/abcdef", "kernel_id": "59578482"}, {"ref": "martinapreusse/lucky-folds-who-needs-repeated-cv", "kernel_id": "59964220"}, {"ref": "martinapreusse/academic-success-prediction-xgb-lgbm-r", "kernel_id": "59048408"}, {"ref": "pratimukherjee/notebookab0a484e54", "kernel_id": "59250568"}, {"ref": "oleksiimartusiuk/eda-and-lgbm-classifier", "kernel_id": "59969804"}, {"ref": "fredericnicholson/keras-base-model-with-tensor-board", "kernel_id": "59900626"}, {"ref": "fredericnicholson/keras-with-one-hot-encoding-2", "kernel_id": "59904799"}, {"ref": "fredericnicholson/keras-tuner", "kernel_id": "59909644"}, {"ref": "fredericnicholson/keras-base-model", "kernel_id": "59760933"}, {"ref": "tawan12/classification-with-an-academic-success-dataset-tw", "kernel_id": "59789934"}, {"ref": "arifhossain00/s04e06-academic-success-eda-and-classification", "kernel_id": "59060503"}, {"ref": "ruchikarani/academic-risk-prediction", "kernel_id": "59438662"}, {"ref": "cheesecke/academic-success-prediction-ensemble-learning", "kernel_id": "59357786"}, {"ref": "cheesecke/academic-success-prediction-deep-learning", "kernel_id": "59296429"}, {"ref": "pandorilee/notebookde39f28db3", "kernel_id": "59702575"}, {"ref": "commentsm/academic-multi-classification-sk", "kernel_id": "59393079"}, {"ref": "jinjja/academic-success-classification-240612", "kernel_id": "59682845"}, {"ref": "vaivhaw09/academic-success-dataset-s04e06", "kernel_id": "59901430"}, {"ref": "pratyushojha12/voting-classifier-of-xgb-catboost-and-naive-bias", "kernel_id": "59566690"}, {"ref": "crinklybrain2003/academicdsnb", "kernel_id": "59914439"}, {"ref": "armanzhalgasbayev/ps-s4-e6-vc-xgb-lgbm-rf-cat-ada", "kernel_id": "59095112"}, {"ref": "vinnyngo/ps4-06-multi-label-classification", "kernel_id": "59405733"}, {"ref": "yeamimtouhid/flaml-automl-mastery-guide", "kernel_id": "59194385"}, {"ref": "yeamimtouhid/s04e06-academic-success-eda-and-classification", "kernel_id": "59194437"}, {"ref": "egorandreasyan/academic-success-prediction", "kernel_id": "59363964"}, {"ref": "asmahachaichi/academic-success-prediction-automl-h2o", "kernel_id": "59291163"}, {"ref": "asmahachaichi/classification-with-h2o-automl", "kernel_id": "59396222"}, {"ref": "ravaghi/s04e06-academic-success-flaml", "kernel_id": "59010063"}, {"ref": "sammaslammajama/academic-success-prediction", "kernel_id": "59909963"}, {"ref": "def0017/academic-success-classifier", "kernel_id": "59010953"}, {"ref": "chahinovic/kudos-graduate-pipeline-optimization-voting", "kernel_id": "59372582"}, {"ref": "manaswiniguptaiiitl/kagglenbook", "kernel_id": "59283131"}, {"ref": "tacticularcancer/college-dropout-rate", "kernel_id": "59282420"}, {"ref": "myash21/xgboost-oversampling-86-accuracy", "kernel_id": "59672202"}, {"ref": "abdmental01/flaml-automl-mastery-guide", "kernel_id": "59145043"}, {"ref": "sojibbhattacharjee/classification-with-an-academic-success-dataset", "kernel_id": "59926039"}, {"ref": "gauravbosamiya/classification-with-an-academic-success", "kernel_id": "59944958"}, {"ref": "saibabu1/prediction-karre", "kernel_id": "59223461"}, {"ref": "naveenapaleti/academic-success-dataset-analysis", "kernel_id": "59994403"}, {"ref": "khushikhushikhushi/classification-on-academic-success", "kernel_id": "59890059"}, {"ref": "michabogusawski/academic-success-1", "kernel_id": "59619781"}, {"ref": "naokinozawa/academic-success-lgbm", "kernel_id": "59308310"}, {"ref": "ayushsingh7863/academic-success-dataset-using-xgboost", "kernel_id": "59008999"}, {"ref": "saleepshrestha/academic-success-2nd", "kernel_id": "59880292"}, {"ref": "saleepshrestha/academic-success-competition-team", "kernel_id": "59237968"}, {"ref": "matteobarucco/0-84052-lgbm-ensemble-no-feature-eng", "kernel_id": "59772921"}, {"ref": "joonhwanko/learning", "kernel_id": "59732315"}, {"ref": "marcinmyczka/pss4e6-select-features", "kernel_id": "59880728"}, {"ref": "marcinmyczka/pss4e6-scalers", "kernel_id": "59082788"}, {"ref": "adilalizada/will-you-graduate-catboost-optuna-83-473", "kernel_id": "59907787"}, {"ref": "benmanks/notebook04b640c8-acedemic-curricular-prediction", "kernel_id": "59572977"}, {"ref": "anshulm257/eda-selecting-best-features-comparing-3-models", "kernel_id": "59086313"}, {"ref": "nishchalkaggle/classification-acad-success01", "kernel_id": "59356194"}, {"ref": "nishchalkaggle/classification-acad-scuccess02", "kernel_id": "59358678"}, {"ref": "harshitarya003/academic-success-deep-learning-easy", "kernel_id": "59252866"}, {"ref": "shobhit043/eda-model-training-83", "kernel_id": "59900583"}, {"ref": "aoqixia/eda-droput-graduate-analysis", "kernel_id": "59707291"}, {"ref": "kota0806/academic-success-pycharet", "kernel_id": "59895912"}, {"ref": "kota0806/s04e06-academic-success-feature-engineer", "kernel_id": "59921105"}, {"ref": "kyoungranyu/notebookb1d2de08f2", "kernel_id": "59644631"}, {"ref": "mohammed237/academic-success", "kernel_id": "59354499"}, {"ref": "brahimy/who-will-dropout", "kernel_id": "59294636"}, {"ref": "sanjidaakther3/classification-with-an-academic-success", "kernel_id": "59285267"}, {"ref": "cartoonistbeard/academicsuccessneural", "kernel_id": "59345926"}, {"ref": "muratourlu/academic-success-dataset-with-random-forest", "kernel_id": "59002149"}, {"ref": "sujiq9707/academic-prediction", "kernel_id": "59645431"}, {"ref": "lingoyao/academic-success-prediction-xgb", "kernel_id": "59885630"}, {"ref": "ajnorton1/basic-catboost-example", "kernel_id": "59139535"}, {"ref": "ikram98ai/classification-with-an-academic-success", "kernel_id": "59233809"}, {"ref": "zacharymcollins/ps4e6-featureengineering-lightgbm-optuna", "kernel_id": "59049298"}, {"ref": "strawfev/simple-eda-using-pipeline-rf-gb", "kernel_id": "59069698"}, {"ref": "makototsuneto/improve-nn-weighted-categorical-encoding", "kernel_id": "59293950"}, {"ref": "venkatareddynaru/academic-success-classifier", "kernel_id": "59120026"}, {"ref": "narange/narang-e-academic", "kernel_id": "59719337"}, {"ref": "melken/classification-with-an-academic-success-dataset", "kernel_id": "59144559"}, {"ref": "dualou/try-catboost", "kernel_id": "59397077"}, {"ref": "gunseonjin/notebooke291d9e6a0", "kernel_id": "59719368"}, {"ref": "meghana061999/week-1", "kernel_id": "59419749"}, {"ref": "harshaakul/harsha-assignment-1", "kernel_id": "59120041"}, {"ref": "amarnathdasari/notebook058086ad1f", "kernel_id": "59507654"}, {"ref": "irfanmohammadshaik/notebook93384725ae", "kernel_id": "59498360"}, {"ref": "botlavamsikrishna/inclass-test", "kernel_id": "59361802"}, {"ref": "kumaravankayala/kumara-assign1", "kernel_id": "59649123"}, {"ref": "javeedshaik1221/javeed-shaik-assignment1", "kernel_id": "59497473"}, {"ref": "vineethkumarreddyv/academic-classifier", "kernel_id": "59482197"}, {"ref": "rojaeslavath/classification-of-academic-success-dataset", "kernel_id": "59397392"}, {"ref": "johnkennethanders/academicdataset-xgb", "kernel_id": "59703698"}, {"ref": "roshik666/academic-success-decision-tree-classifier", "kernel_id": "59120088"}, {"ref": "pauloarayasantiago/classification-with-academic-success-using-lgbm", "kernel_id": "59392770"}, {"ref": "saivardhanreddy1/assignment-1", "kernel_id": "59474527"}, {"ref": "minnip/classification-with-an-academic-success-dataset", "kernel_id": "59498722"}, {"ref": "crysta2018/classification-using-decision-tree", "kernel_id": "59638475"}, {"ref": "yamikaratnakadiyala/notebookbf5c6e2b43", "kernel_id": "59670156"}, {"ref": "paddykb/ps-s4e6-lasso-conformal-prediction", "kernel_id": "60574969"}, {"ref": "uzdavinys/pg-s04e06-shap-values-in-sklearn", "kernel_id": "60213472"}, {"ref": "athews/predict-academic-success", "kernel_id": "60633396"}, {"ref": "dancapellupo/academic-success-featuring-data-eda-xgboost", "kernel_id": "60817731"}, {"ref": "thegodchurch/voting-on-steriods", "kernel_id": "60455017"}, {"ref": "thegodchurch/ml-selecting-model-final-model-xgboost", "kernel_id": "60439362"}, {"ref": "thegodchurch/voting-steriods", "kernel_id": "60926350"}, {"ref": "lenisha/randomforest-xgboost", "kernel_id": "60106515"}, {"ref": "abubakr18/s4e6-academic-success-sklearn-catboost-light-gbm", "kernel_id": "60858501"}, {"ref": "lirbig9712/academic-success-an-eda", "kernel_id": "60819012"}, {"ref": "stpeteishii/academic-success-pycaret", "kernel_id": "60651991"}, {"ref": "danielbrommer/classification-academic-success", "kernel_id": "60074406"}, {"ref": "surendhar10/eda-model-exploration-fine-tuning-stacking", "kernel_id": "60412424"}, {"ref": "ivanblch/seminar3-dpo", "kernel_id": "60754074"}, {"ref": "ivanblch/seminar4-dpo", "kernel_id": "60966875"}, {"ref": "ivanblch/seminar1-dpo", "kernel_id": "60218684"}, {"ref": "ivanblch/seminar-2dpo", "kernel_id": "60447534"}, {"ref": "thomas555/academic-success-classification-ensemble", "kernel_id": "60422926"}, {"ref": "plusplusc/fastai-gradient-boosting", "kernel_id": "60280840"}, {"ref": "yashasvimisra/playground-series-academic-success-classification", "kernel_id": "60700994"}, {"ref": "mehrankazeminia/3-ensembling-academic-success-ps4e6", "kernel_id": "60112974"}, {"ref": "preethiramesh1999/notebook-18jun", "kernel_id": "60392090"}, {"ref": "pinoystat/keras-classification-of-academic-success", "kernel_id": "60109674"}, {"ref": "ahmetyldrr/simple-feature-engineering-nn-network-predict", "kernel_id": "60860643"}, {"ref": "abdelrhmanashraf/classification-with-an-academic-success-dataset", "kernel_id": "60601535"}, {"ref": "abdelrhmanashraf/xgboost", "kernel_id": "60797860"}, {"ref": "scarfx/academic-success-83-7-top-22", "kernel_id": "60600942"}, {"ref": "danilocardoso/academic-success-xgb-rf-lr-power-bi", "kernel_id": "60900250"}, {"ref": "inzaghim/autogluon-ensemble-please-upvote-for-using", "kernel_id": "60598282"}, {"ref": "inzaghim/super-short-autogluon", "kernel_id": "60262435"}, {"ref": "garfield2021/pss4e6-112-simple-lgbm", "kernel_id": "60324765"}, {"ref": "artemzysko/tree-ensembles-dimensionality-reduction", "kernel_id": "60502772"}, {"ref": "eddieamimo/xgboost-optuna", "kernel_id": "60863404"}, {"ref": "mrkidou/playground-series-s4e6", "kernel_id": "60840795"}, {"ref": "arjitmishra/academic-classification", "kernel_id": "60581033"}, {"ref": "pedroaltobelli/academic-success-autogluon", "kernel_id": "60061093"}, {"ref": "richa1singh/academic-success-prediction", "kernel_id": "60074051"}, {"ref": "shahriarsaikat/classification-with-an-academic-success-dataset", "kernel_id": "60131443"}, {"ref": "yuktabhange/xgboost-accuracy-83", "kernel_id": "60800482"}, {"ref": "burakarslan1/xgboost-classification", "kernel_id": "60843743"}, {"ref": "burakarslan1/pytorch-classification", "kernel_id": "60805362"}, {"ref": "aasnegha/classification-of-academic-success", "kernel_id": "60869364"}, {"ref": "vidhikishorwaghela/academic-success-dataset-v1", "kernel_id": "60973539"}, {"ref": "gkanamoto/0-83718-lgbm-optuna-bagging", "kernel_id": "60450524"}, {"ref": "gkanamoto/0-8365-lgbm-optuna-feature-importance", "kernel_id": "60232943"}, {"ref": "snneva/nn-optuna-s4e6", "kernel_id": "60141488"}, {"ref": "daniilkrasnoproshin/ps-s4e6-ensemble-learning", "kernel_id": "60934908"}, {"ref": "devanshu0602/academic-success-classification", "kernel_id": "60848096"}, {"ref": "rustameyniyev/pytorch-gpu-solution-re-s04e06", "kernel_id": "60436702"}, {"ref": "sajjadhajian/eda-feature-engineering-catboost-optuna", "kernel_id": "60046780"}, {"ref": "jachimmaaghara/predict-academic-risk-using-decision-tree", "kernel_id": "60315022"}, {"ref": "devendrasingh22/academic-success", "kernel_id": "60636489"}, {"ref": "minafarid01/academic-success-no-eda", "kernel_id": "60081601"}, {"ref": "eli2022/playgrounds4e06-eda-gb", "kernel_id": "60076506"}, {"ref": "abdulrahmanmahmoud/classification-with-an-academic-success-datasets", "kernel_id": "60598294"}, {"ref": "alhsan/academic-success-classification", "kernel_id": "60004486"}, {"ref": "shamsin/classification-using-random-forest", "kernel_id": "60985685"}, {"ref": "gizemnalbantarslan/academic-success-pycaret", "kernel_id": "60565561"}, {"ref": "trevorglenn/academic-success-ensemble", "kernel_id": "60342435"}, {"ref": "trevorglenn/tf-dnn-classification-with-resampling", "kernel_id": "60532030"}, {"ref": "k214744nizamuldin/academic-success-classification", "kernel_id": "60261596"}, {"ref": "shubhamjariwala/classification-with-academic-success", "kernel_id": "60403421"}, {"ref": "shubhamjariwala/classification-with-academic-success-submission", "kernel_id": "60776465"}, {"ref": "tatendaedmorekagande/academic-success-classification-neural-network", "kernel_id": "60152927"}, {"ref": "vibhorejain1/ps4e6-0-83", "kernel_id": "60515945"}, {"ref": "rabbitx86/begginer-lightgbm-optuna-score-0-835", "kernel_id": "60203390"}, {"ref": "mohamedsayedamarmsa/classification-with-an-academic-success", "kernel_id": "60898757"}, {"ref": "jaymilindpadloskar/academic-success-eda-xgb-catb", "kernel_id": "60313406"}, {"ref": "lorenzoshylockl/classification-of-success-rf-xgb-cat-other", "kernel_id": "60572511"}, {"ref": "satoshishibasaki/ensemble-academic-success-dataset", "kernel_id": "60751935"}, {"ref": "samriddhibtech2022/pss-s4e6-lightgb", "kernel_id": "60321098"}, {"ref": "alkidiarete/fastai-xgb", "kernel_id": "60454857"}, {"ref": "osamaabobakr/automl-ensemble-model", "kernel_id": "60789664"}, {"ref": "danttis/simple-lineardiscriminantanalysis-80-accuracy", "kernel_id": "60314841"}, {"ref": "nicolasorefice/academic-sucess", "kernel_id": "60490944"}, {"ref": "abhaysharma38/lightgbm-with-parameter-tunning", "kernel_id": "60773258"}, {"ref": "abhaysharma38/detailed-eda-lightgbm-implementation", "kernel_id": "60847519"}, {"ref": "shadesh/machine-learning-project-with-catboostclassifier", "kernel_id": "60340517"}, {"ref": "yoseflachman/random-forest-playground-s4e6", "kernel_id": "60296503"}, {"ref": "sergeitsibikov1234/academic-success-nn-xgboost-etc", "kernel_id": "60843081"}, {"ref": "vineetatyam/notebook-without-feature-selection", "kernel_id": "60917366"}, {"ref": "pratyushojha12/classification-with-an-academic-83-415-accuracy", "kernel_id": "60292160"}, {"ref": "yazeedalsahouri03/classification-with-an-academic-success", "kernel_id": "60610694"}, {"ref": "baseershah/eda-optuna-ensembling-high-accuracy", "kernel_id": "60079492"}, {"ref": "sandeepakash/academic-success-rate-prediction", "kernel_id": "60080175"}, {"ref": "ananya20s/academic-success-catboost", "kernel_id": "60799203"}, {"ref": "prioahmed/data-exploration-and-creating-new-features", "kernel_id": "60895956"}, {"ref": "prioahmed/using-optuna-in-xgb", "kernel_id": "60793566"}, {"ref": "vishalginni/academic-success-eda-model-training", "kernel_id": "60698192"}, {"ref": "rizal1015/tunninglgbm", "kernel_id": "60689706"}, {"ref": "rizal1015/tutorial", "kernel_id": "60635686"}, {"ref": "akinduhiman/academic-success-ps4e6-gbt-lgbm-blending", "kernel_id": "60258160"}, {"ref": "varuagrathore1503/model-training", "kernel_id": "60119351"}, {"ref": "saliharanauzun/academic-success-classification", "kernel_id": "60754918"}, {"ref": "sowmyajayakanth/xgboost-86-accuracy", "kernel_id": "60450947"}, {"ref": "flamingoman418/classification-with-academic-success", "kernel_id": "60433020"}, {"ref": "gagandeep44489/lgbm-catb-xgb-nn-voting-or-stacking", "kernel_id": "60395910"}, {"ref": "gerardogutierrey/academic-success-easy-step-by-step-guide-82-acc", "kernel_id": "60749813"}, {"ref": "zeyadsayedadbullah/predicting-academic-success-with-xgboost", "kernel_id": "60395847"}, {"ref": "zeyadsayedadbullah/predicting-academic-success-with-catboost", "kernel_id": "60533871"}, {"ref": "sergiygavrylov/simple-using-stackingclassifier", "kernel_id": "60097065"}, {"ref": "sergiygavrylov/simple-using-votingclassifier-with-9-classifiers", "kernel_id": "60275809"}, {"ref": "bobrnebobr/academic-success-catboost-shap-0-83", "kernel_id": "60541026"}, {"ref": "umairabbasi6/beginner-friendly-lgbm", "kernel_id": "60060449"}, {"ref": "youken2739/top3-season4-episode6-1-japanese", "kernel_id": "60777387"}, {"ref": "derpreme/academic-success-competition-vs-code-fixed", "kernel_id": "60634474"}, {"ref": "derpreme/classification-with-an-academic-success-dataset", "kernel_id": "60156841"}, {"ref": "imamverdi/academic-success", "kernel_id": "60259414"}, {"ref": "josephmargaryan/feature-reduction", "kernel_id": "60164191"}, {"ref": "staniska/academic-success", "kernel_id": "60664167"}, {"ref": "maanaskrishnavsl/classification-with-academic-success", "kernel_id": "60515655"}, {"ref": "mdmuqtadirfuad/academic-risk-xgb-wins", "kernel_id": "60668289"}, {"ref": "valeriiabiruk/lgqbm-optuna", "kernel_id": "60258206"}, {"ref": "harshitstark/classification-with-an-academic-success", "kernel_id": "60249842"}, {"ref": "harshitstark/classification-with-an-academic-success-dataset", "kernel_id": "60999872"}, {"ref": "mumpuni/academic-success", "kernel_id": "60836265"}, {"ref": "namlh2004/ps4e6-academic-success-classification-ensemble", "kernel_id": "60302529"}, {"ref": "arihant18/competetion-2", "kernel_id": "60655652"}, {"ref": "luxluxshan/xgb-lgbm-with-logistic-regression-stacking", "kernel_id": "60646944"}, {"ref": "rishav15/notebook6ea443c037", "kernel_id": "60066332"}, {"ref": "sohaasadi/s4e06-rf", "kernel_id": "60816247"}, {"ref": "kota0806/s04e06-academic-success-emsumble", "kernel_id": "60845032"}, {"ref": "kota0806/s04e06-academic-success-feature-engine-6-1", "kernel_id": "60542676"}, {"ref": "christianbarreto07/part-2-feature-select-incrementally-and-lgbm-tuned", "kernel_id": "60532992"}, {"ref": "christianbarreto07/auto-feature-engineering", "kernel_id": "60427390"}, {"ref": "christianbarreto07/0-83738-top-lgbm-param-and-seed", "kernel_id": "60431701"}, {"ref": "christianbarreto07/autogluon-with-bag-dataset-br", "kernel_id": "60809004"}, {"ref": "christianbarreto07/brazil-academic-success-decoding-estudy", "kernel_id": "60806506"}, {"ref": "jeduardogarcaruiz/academic-success-classification", "kernel_id": "60692990"}, {"ref": "monish38/conventional-book", "kernel_id": "60982317"}, {"ref": "jaredthegreat/classification-of-academic-success-using-lightgbm", "kernel_id": "60541288"}, {"ref": "curiouscyborgs/karan-s-notebook-classification-th-academic-data", "kernel_id": "60071147"}, {"ref": "amitanshulal/academic-final", "kernel_id": "60679233"}, {"ref": "timurmaksutov/xgboost-for-easy-start-from-0-836", "kernel_id": "60260361"}, {"ref": "drivesavirask/notebookde5bcbff81", "kernel_id": "60793211"}, {"ref": "makototsuneto/optuna-oversampling-ensemble", "kernel_id": "60543480"}, {"ref": "sanjayakaswan/academic-risk-eda-gradient-boosting-with-82-2", "kernel_id": "60575499"}, {"ref": "clemencetravers/s4-e6-academic-success-xgboost", "kernel_id": "60941807"}, {"ref": "clemencetravers/s4-e6-academic-success-deep-learning", "kernel_id": "60872064"}, {"ref": "clemencetravers/s4-e6-academic-success-random-forest", "kernel_id": "60798030"}, {"ref": "animeshsh/accurate-prediction-85-accuracy", "kernel_id": "60045433"}, {"ref": "gusbcz/notebookcf7e75c185", "kernel_id": "60779314"}, {"ref": "doomsday69/academic-success-xgb-rf-lr-power-bi", "kernel_id": "60933866"}, {"ref": "sushant28/academic-success", "kernel_id": "60916520"}, {"ref": "monxia/catboost", "kernel_id": "60890542"}, {"ref": "rajpanicker/understanding-trainsize-hyp-behavior", "kernel_id": "60993706"}, {"ref": "cjlicj/multi-class-classification-problem", "kernel_id": "60608883"}, {"ref": "dinhnguyenthanhnam/lab3-autopass", "kernel_id": "60721312"}, {"ref": "rizz787/classification-with-an-academic-success-dataset", "kernel_id": "60584566"}, {"ref": "kevinpowerscm/academic-success-basic-rf-and-xgb", "kernel_id": "60699067"}, {"ref": "tthien/tf-run-experiment-3", "kernel_id": "61300892"}, {"ref": "poloniki/academic-success-eda-xai-ensemble-default-models", "kernel_id": "61244464"}, {"ref": "akmalmir/insurance-2024-automl-autoxgb-classification", "kernel_id": "61326605"}, {"ref": "kmmmvs/psod-prep-claude-3-5-sonnet-chatgpt4o-gemini", "kernel_id": "61303110"}, {"ref": "sirojalfaqier/tabnet", "kernel_id": "61162876"}, {"ref": "artemzysko/super-simple-eda-example", "kernel_id": "61057270"}, {"ref": "romeodavid/classification-of-academic-success", "kernel_id": "61129738"}, {"ref": "shivamjai/academic-classification", "kernel_id": "61295704"}, {"ref": "snchs7/competition-classification-with-an-academic-succes", "kernel_id": "61303263"}, {"ref": "ravi20076/playgrounds4e07-lama-v1", "kernel_id": "61331891"}, {"ref": "ravi20076/playgrounds4e07-autogluon-starter", "kernel_id": "61335156"}, {"ref": "likhon148/s4-06-eda-ftr-eng-lgbm-xgb-cat", "kernel_id": "61290987"}, {"ref": "samrat12/academic-success-bestsolution", "kernel_id": "61258269"}, {"ref": "chitrakshsingh/academic-success-lgbm", "kernel_id": "61560542"}, {"ref": "chitrakshsingh/academic-success-1", "kernel_id": "61041222"}, {"ref": "uzairshafique/stacking-clf-academic-risk-pred-w-lgbm-hgb", "kernel_id": "61315082"}, {"ref": "chanelkxm/lgbmclassification-83-academic-risk-assessment", "kernel_id": "61339041"}, {"ref": "muhammadfaizan65/academic-success-classification", "kernel_id": "61040498"}, {"ref": "sajjadhajian/ps4e6-eda-feature-engineering-catboost-optuna", "kernel_id": "61306549"}, {"ref": "sajjadhajian/ps4e6-how-to-leverage-optuna-for-model-tuning", "kernel_id": "61315889"}, {"ref": "tanmay9516/lgbm-and-qualification-mapping", "kernel_id": "61094290"}, {"ref": "eli2022/s4e06-eda-lgbmclassifier-score-83-81", "kernel_id": "61114301"}, {"ref": "avdhesh15/academic-success-analysis-model", "kernel_id": "61208623"}, {"ref": "crisbebop/lightgbm-optuna-83-5", "kernel_id": "61166664"}, {"ref": "shamsin/classification-on-academic-success-dataset", "kernel_id": "61077578"}, {"ref": "endritmustafa/classification-student-risk", "kernel_id": "61314372"}, {"ref": "engamohammed/academic-success-classification", "kernel_id": "61215231"}, {"ref": "mennatullaheisawy/academic-success-classification-using-lgbm", "kernel_id": "61113640"}, {"ref": "akshatsharma0610/academic-success-dataset-prediction", "kernel_id": "61620586"}, {"ref": "waleedejaz/academic-success-eda-xgbclassifier-optuna", "kernel_id": "61013247"}, {"ref": "niteshkesharwani7790/notebook091c6e1d40", "kernel_id": "61305524"}, {"ref": "theoreymermier/gbc-xgboost-deep-learning-approaches", "kernel_id": "61308476"}, {"ref": "shlokshivkar/s4e6-ensemble-xgb-2lgb-hgb-cat-mode-of-5-best", "kernel_id": "61347910"}, {"ref": "shashankchhoker/score-84", "kernel_id": "61299745"}, {"ref": "junaidullhassan/academic-success-evaluation-84-lgbmclassifier", "kernel_id": "61279381"}, {"ref": "shivikaa/academic-success-classification-problem", "kernel_id": "61021782"}, {"ref": "cconsta1/feat-interact-outlier-handling-voting-class", "kernel_id": "61285316"}, {"ref": "miriamodeyianypeter/academic-success", "kernel_id": "61312579"}, {"ref": "trojan081/academic-success-predictions", "kernel_id": "61307715"}, {"ref": "nikitavet/academic-success-eda-ensemble", "kernel_id": "61193093"}, {"ref": "shwetadevkhile/academic-success-classification-model", "kernel_id": "61027099"}, {"ref": "fredericnicholson/keras-deep-learning-with-cross-validation", "kernel_id": "61129697"}, {"ref": "mohitgupta12/academic-success-prediction-0-83101", "kernel_id": "61206495"}, {"ref": "ahmedibrahim72/classification-an-academic-success-with-ann", "kernel_id": "61303997"}, {"ref": "yoseflachman/xgboost-playground-s4e6", "kernel_id": "61027761"}, {"ref": "hungkat/academic-success-classification-xgboost", "kernel_id": "61403456"}, {"ref": "raghavgoyal25/academic-success-s4-e6", "kernel_id": "61013160"}, {"ref": "muratcanlalolu/83-316-accuracy-4-different-ensemble-methods", "kernel_id": "61308566"}, {"ref": "zaed2003/deep-dive-academic-excellence-via-eda-viz", "kernel_id": "61551975"}, {"ref": "ogulcancck/academic-success-eda-ftr-eng-model", "kernel_id": "61144595"}, {"ref": "prioahmed/final-work-for-graduation-comp", "kernel_id": "61319855"}, {"ref": "trondataana/student-performance-using-boosting", "kernel_id": "61067791"}, {"ref": "shgyg99/pytorch", "kernel_id": "61397073"}, {"ref": "swekerr/s4-e6-academic-success-classification", "kernel_id": "61261121"}, {"ref": "mohammedhamzamoawad/xgboost-96-accuracy", "kernel_id": "61665050"}, {"ref": "gagandeep44489/deep-dive-academic-excellence-via-eda-viz", "kernel_id": "61573480"}, {"ref": "rushik2204/classification-of-an-academic-success-dataset", "kernel_id": "61124440"}, {"ref": "abdmental01/ps4e7-modeling-submission", "kernel_id": "61323499"}, {"ref": "nisha272004gmailcom/classification-with-academic-success-dataset", "kernel_id": "61230876"}, {"ref": "mehakiftikhar/ps4e7-predicting-insurance-cross-selling-success", "kernel_id": "61348736"}, {"ref": "ssyyhh/eda-of-students-score-with-prediction-of-target", "kernel_id": "61207778"}, {"ref": "ismailaliahmed/academy-success-notebook-competition", "kernel_id": "61306775"}, {"ref": "ycsstang/s4e6-solution-of-catboost-and-lightgbm", "kernel_id": "61846103"}, {"ref": "yorkyong/s4e6-academic-success-classification", "kernel_id": "61122175"}, {"ref": "mohamedlazaar2/eda-models-feature-importance", "kernel_id": "61679842"}, {"ref": "huriyebykpancar/lgbm-academic-success-83-2", "kernel_id": "61293119"}, {"ref": "taqijaved/academic-success-taqi-javed", "kernel_id": "61124323"}, {"ref": "viditgandhi/academic-success-xgboost-classification", "kernel_id": "61348586"}, {"ref": "christianbarreto07/portugal-is-boss-getting-a-new-feature-year", "kernel_id": "61092455"}, {"ref": "curiouscyborgs/my-compitition-notebook", "kernel_id": "61121101"}, {"ref": "duonghoangphuck18hcm/notebook6ce52b29bb", "kernel_id": "61065978"}, {"ref": "mslatifpour/84-316-accuracy-4-different-ensemble-methods1", "kernel_id": "61315903"}, {"ref": "rajusaipainkra/academic-success-classification", "kernel_id": "61293084"}, {"ref": "vishalyginny/academic-success-eda-gb", "kernel_id": "61389611"}, {"ref": "xiaocc226/voting-with-lgb-catboost-and-xgb", "kernel_id": "61387692"}, {"ref": "lauramullings/academic-success-logistic-regression-meta-model", "kernel_id": "61164457"}, {"ref": "ayyzvew831/notebook3891922023", "kernel_id": "61120727"}, {"ref": "iamyashjadhav/autogluon", "kernel_id": "61173608"}, {"ref": "jiahjg/xgb-tiaocan", "kernel_id": "61160584"}, {"ref": "ugurokarapunar/classf-cation-academic", "kernel_id": "61846879"}, {"ref": "soarer/2024-07-18-playground-s4e6-feature-hash-exp", "kernel_id": "62414577"}, {"ref": "bachngoh/notebookdc4e4ebed7", "kernel_id": "62750392"}, {"ref": "mobinapoulaei/academic-success-classifiation", "kernel_id": "62660584"}, {"ref": "syednazmussakib/academic-success-rf-xgb-cb-lgb-ensemble", "kernel_id": "62730972"}, {"ref": "arnavmishra6996/automl", "kernel_id": "62600103"}, {"ref": "jandyndor/classification-with-an-academic-success-dataset", "kernel_id": "62703672"}, {"ref": "beyzaerdogan/classi", "kernel_id": "62742110"}, {"ref": "zeeshanyounas001/ps4e6-eda-ml-model", "kernel_id": "62837583"}, {"ref": "samiraalipour/academic-success-prediction", "kernel_id": "62343298"}, {"ref": "danuherath/academic-success-multi-class-classification", "kernel_id": "62005328"}, {"ref": "mariabassam/eda-dl-model", "kernel_id": "62299851"}, {"ref": "elliotwarner1999/notebook04cf834585", "kernel_id": "62120161"}, {"ref": "itsuntko/uk-project-playground-s4e7", "kernel_id": "63477621"}, {"ref": "abdelmoneimrehab/try-to-beat-the-1st-score", "kernel_id": "64150112"}, {"ref": "clemwo/battle-of-bayesian-optimization-methods", "kernel_id": "64943644"}, {"ref": "akhil838/ps4e6-catboost-83-5", "kernel_id": "64188432"}, {"ref": "jinethperera/classification-with-an-academic-success", "kernel_id": "64847005"}, {"ref": "surajwate/academic-success-xgboost", "kernel_id": "65698750"}, {"ref": "kmmmvs/03-01-03-pandas-eda-ipynb", "kernel_id": "65123275"}, {"ref": "kmmmvs/00-01-03-cudf-eda", "kernel_id": "65216243"}, {"ref": "kmmmvs/03-01-03-pandas-eda", "kernel_id": "65214126"}, {"ref": "takaoasaba/classification-with-an-academic-success-asaba", "kernel_id": "65537538"}, {"ref": "mehakiftikhar/ps4e9-used-car-pricing-model-regression-analysis", "kernel_id": "65067276"}, {"ref": "metinhsimimi/academic-success-classification-deep-83", "kernel_id": "65929060"}, {"ref": "georgehanyfouad/classification-academic-success-dataset", "kernel_id": "65622543"}, {"ref": "mohamedalabasy/academic-success-compt-ml", "kernel_id": "65492974"}, {"ref": "abdelrahmanemad594/academic-success-classification", "kernel_id": "65608380"}, {"ref": "owm4096/playground-s4e6-academic-success-classification", "kernel_id": "65500401"}, {"ref": "mohamedibkotb/academic-success-prediction", "kernel_id": "65250720"}, {"ref": "mohamedmohamedatta/playground-series", "kernel_id": "66727183"}, {"ref": "omidsakaki1370/academic-success-acc-95", "kernel_id": "66003776"}, {"ref": "manthan8/classification-academic-dataset", "kernel_id": "66307433"}, {"ref": "mariamabdelfattah76/classification-with-an-academic-success-dataset", "kernel_id": "66622362"}, {"ref": "dmitrygilemkhanov/s4e6-fedot-scaling-catboost", "kernel_id": "66676007"}, {"ref": "dmitrygilemkhanov/s4e6-fedot-catboost", "kernel_id": "66674548"}, {"ref": "dmitrygilemkhanov/s4e6-fedot-mutation", "kernel_id": "66660329"}, {"ref": "dmitrygilemkhanov/s4e6-fedot-base-tunning", "kernel_id": "66662089"}, {"ref": "dmitrygilemkhanov/s4e6-fedot-scaling-lgbm-catboost", "kernel_id": "66658351"}, {"ref": "devaanshpuri/academic-success-classification-simple", "kernel_id": "67983329"}, {"ref": "abdelrahmanemad594/academic-success-ann", "kernel_id": "67052855"}, {"ref": "owm4096/academic-success-classification-w-ann", "kernel_id": "67220077"}, {"ref": "snehalkhandewale/student-success", "kernel_id": "68448606"}, {"ref": "asmahachaichi/classification-academic-success-h2oxgboost", "kernel_id": "68300278"}, {"ref": "sherif101/academic-success-ann-eda", "kernel_id": "68971498"}, {"ref": "erenkonta/dl-classification-ile-akademikbasar-s-n-fland-rma", "kernel_id": "68894488"}, {"ref": "tycoa29snehabhavsar/academic-success-ml", "kernel_id": "68473309"}, {"ref": "pritamdas01/academic-success-using-xgboost", "kernel_id": "70887190"}, {"ref": "juyongko/0-83081", "kernel_id": "71669256"}, {"ref": "tengxiaoluo/rf-graduation-prediction", "kernel_id": "71501429"}, {"ref": "korlilarryaddo/histgbclassifier", "kernel_id": "72382866"}, {"ref": "akinduhiman/data-cleaning-and-feature-engineering-workshop-1", "kernel_id": "73860461"}, {"ref": "akinduhiman/ml-modeling-workshop-2", "kernel_id": "74077806"}, {"ref": "dingggggg/eda-ml-academic-success-using-xgboost-mlp", "kernel_id": "74605642"}, {"ref": "learntogo/classification-using-randomforest", "kernel_id": "74289211"}, {"ref": "kamil43/classification-with-academic-success-dataset", "kernel_id": "76433285"}, {"ref": "senasudemir/classification-with-an-academic-success", "kernel_id": "76318006"}, {"ref": "laelialuong/academic-success-assignment-1", "kernel_id": "76603720"}, {"ref": "daliado98/dalia-do-dsc-783-assignment-1", "kernel_id": "76401794"}, {"ref": "shakiffarhanshah/shakif-farhan-assignment-1-academic-success", "kernel_id": "76695629"}, {"ref": "joacimcarhed/carhed-joacim-dsc-783-assignment-1", "kernel_id": "76677804"}, {"ref": "devanshiriteshshah/dev-assignment1", "kernel_id": "76665231"}, {"ref": "minhkhuenguyennnn/mkhue-academic-success-as1", "kernel_id": "76237354"}, {"ref": "pabloablanedo/pablo-ablanedo-notebook", "kernel_id": "76688794"}, {"ref": "nicholasnanan/assignment-1", "kernel_id": "76612491"}, {"ref": "aryannimeshkumar/classification-with-an-academic-success", "kernel_id": "76625339"}, {"ref": "malcolmbryan/notebook0cc94f610d", "kernel_id": "76701559"}, {"ref": "malcolmbryan/notebook1df711e17a", "kernel_id": "76707591"}, {"ref": "alamsyyd/assignment-1", "kernel_id": "76707009"}, {"ref": "vaishvipatell/v-s-assignment-1", "kernel_id": "76695183"}, {"ref": "vaishvipatell/v-s-assignment-1-dsc", "kernel_id": "76626161"}, {"ref": "ltunbilly/le-quoc-tuan-dsc-783-assignment-1", "kernel_id": "76700603"}, {"ref": "riyahiteshkumarshah/riya-assignment", "kernel_id": "76696813"}, {"ref": "martjm26/simple-xgb-gridsearchcv-0-83199", "kernel_id": "76603033"}, {"ref": "xinliu28/assignment-1", "kernel_id": "76033508"}, {"ref": "aswadk/aswad-classification-with-an-academic-success", "kernel_id": "76695323"}, {"ref": "almamonrealmunoz/alma-l-monreal-assignment-1", "kernel_id": "76700991"}, {"ref": "almamonrealmunoz/alma-monreal-assignment-1", "kernel_id": "76633045"}, {"ref": "bmjr27/notebook3da9073300", "kernel_id": "76620679"}, {"ref": "devang24/assignment-1", "kernel_id": "76695271"}, {"ref": "abdullahyasser1907/notebook3750b10abb", "kernel_id": "77202211"}, {"ref": "ahmedibrahim72/pytorch-classification-academic-success-with-ann", "kernel_id": "77687350"}, {"ref": "mohammedmossad/academic-success-risk-classification", "kernel_id": "77132346"}, {"ref": "amrmaree/academic-success-classification-using-ann", "kernel_id": "77808774"}, {"ref": "shahdmuhammed/academic-success-risk-classification", "kernel_id": "77145150"}, {"ref": "ghadarabea/classification-with-an-academic-success", "kernel_id": "77760508"}, {"ref": "amrhassankhalaf/amr-hassan-classification-with-an-academic-success", "kernel_id": "77105532"}, {"ref": "alaaharb7/academic-success-rf-vs-xgboost-vs-lgbm-vs-dnn", "kernel_id": "77078368"}, {"ref": "sabreennasser/classification-with-an-academic-success-dataset", "kernel_id": "77133994"}, {"ref": "yassaabram/classification-with-an-academic-success", "kernel_id": "77803334"}, {"ref": "abdelwahhabalaa/academic-success-using-nns", "kernel_id": "77142542"}, {"ref": "teamamohamed115/academic-success-prediction", "kernel_id": "77462559"}, {"ref": "tanishqthuse/droput-graduate-analysis", "kernel_id": "78349410"}, {"ref": "mirzashatuislam/best-ml-model-for-academic-success-dataset", "kernel_id": "78501076"}, {"ref": "maryemmahmoud/academic-success-ann", "kernel_id": "78391098"}, {"ref": "maryemmahmoud/academic-success-using-ann", "kernel_id": "78148823"}, {"ref": "mesutbagl/academic-success-classification", "kernel_id": "78844628"}, {"ref": "valentinapalamarchuk/academic-success-classification-l4-2", "kernel_id": "79329352"}, {"ref": "valentinapalamarchuk/academic-success-classification-l4-1", "kernel_id": "79319296"}, {"ref": "icomert/academic-success-predictor-deep-learning", "kernel_id": "79164907"}, {"ref": "mohamedmabib/ann-academic-success-classification", "kernel_id": "79033114"}, {"ref": "ugurcan95/academic-success-classification", "kernel_id": "80788058"}, {"ref": "penbenur/classification-with-an-academic-success-dataset", "kernel_id": "80225705"}, {"ref": "abdallahwagih/academy-success-classification-using-pytorch", "kernel_id": "82640198"}, {"ref": "youssefkaram222/pytorch-for-academic-classification", "kernel_id": "82645811"}, {"ref": "faheemhere/scratch-neural-network-by-python", "kernel_id": "84162722"}, {"ref": "mdferozahmedafm/check-your-academic-success-prediction-now", "kernel_id": "86205062"}, {"ref": "ouzhanakr/late-submission-ps-s4e6-xgboost", "kernel_id": "89531413"}, {"ref": "hasanshaker/classification-with-an-academic-success", "kernel_id": "89481862"}, {"ref": "rahul416/class32-ipynb", "kernel_id": "92424455"}, {"ref": "erengemc/s04e06-academic-success-eda-and-classification", "kernel_id": "92230656"}, {"ref": "nourahmed34/project-11", "kernel_id": "95971430"}, {"ref": "fareselrashidy/classification-with-an-academic-success-dataset", "kernel_id": "95971314"}, {"ref": "youssefmohamed3/classification", "kernel_id": "95971256"}, {"ref": "doaaabuzaidmohamed/compe", "kernel_id": "95973043"}, {"ref": "belalemad7/al-emad", "kernel_id": "95972744"}, {"ref": "rowalnaamedhat/classification", "kernel_id": "95975722"}, {"ref": "nouramosaad/notebook682b6bc802", "kernel_id": "95982212"}, {"ref": "habibamahmoud21/deeplearing-studentperformance", "kernel_id": "95971974"}, {"ref": "alaaadelragabsaudi/classification-with-ann", "kernel_id": "95973315"}, {"ref": "nadahany21/classification", "kernel_id": "95971929"}, {"ref": "adreamygirl/classification", "kernel_id": "95971305"}, {"ref": "dohaaemad/classification", "kernel_id": "95971979"}, {"ref": "salmasoma/notebook7996d3f937", "kernel_id": "95988691"}, {"ref": "asmaamohamed21/notebook54e91a4275", "kernel_id": "95972502"}, {"ref": "lailayahyamansor/notebook901502994d", "kernel_id": "95971963"}, {"ref": "nouranhussein1721/classification", "kernel_id": "95998903"}, {"ref": "mennamamdouh1234/notebook-classification", "kernel_id": "96692237"}, {"ref": "ayaamr234/classification-with-ann", "kernel_id": "96053738"}, {"ref": "ahmedhamada22/ahmed-hamada7", "kernel_id": "96858716"}, {"ref": "ebrahimwaliedq/ibrahim", "kernel_id": "96519267"}, {"ref": "warcr7/226051023-savas-kose", "kernel_id": "97232513"}, {"ref": "mariamehabyahia/mcc-ann", "kernel_id": "101746197"}, {"ref": "bhavanabonthada/my-compitition-notebook", "kernel_id": "101560806"}, {"ref": "sharmagayatri/voting-ensemble", "kernel_id": "104620520"}, {"ref": "iliaselamrani54/lgbm-academic-success-prediction", "kernel_id": "105432995"}, {"ref": "alexalex123432/academic-success-dataset-task", "kernel_id": "105546587"}, {"ref": "ioanequrdiani/notebook3787c14782", "kernel_id": "105484186"}, {"ref": "sabanoza/saba-noza25", "kernel_id": "105146266"}, {"ref": "leyuzakoksoken/student-status-prediction-with-lightgbm", "kernel_id": "108369006"}, {"ref": "farrelfaricaf/ps-s4e6-lightgbm-oversampling", "kernel_id": "109993407"}, {"ref": "zynptkn06/clustering-classification-with-an-academic-success", "kernel_id": "115127162"}, {"ref": "tugcebasyigit/classification-with-an-academic-success", "kernel_id": "116874891"}, {"ref": "nickmckillip/academic-success-ds", "kernel_id": "122396173"}, {"ref": "mirisel/miri-and-shoshana-kaggle", "kernel_id": "122610645"}, {"ref": "mhskaya/academic-success-classification", "kernel_id": "124671787"}, {"ref": "masakiusui/test-book", "kernel_id": "124942854"}, {"ref": "t15243/notebook5dc6b8aa4c", "kernel_id": "125776396"}, {"ref": "kakiage/notebook-report", "kernel_id": "125775775"}, {"ref": "timocha26/notebookea1fa41fd1", "kernel_id": "125776736"}, {"ref": "masakiusui/plot1", "kernel_id": "125940360"}, {"ref": "kotakakujp/student-status-prediction-kaku", "kernel_id": "125779483"}, {"ref": "fukushimaharu/notebookf03f9a7c8c", "kernel_id": "125777126"}, {"ref": "liuzhengjiang/student-status-prediction-liuzhengjiang", "kernel_id": "125816523"}, {"ref": "aki09252/plot2", "kernel_id": "126560046"}, {"ref": "masakiusui/plot2", "kernel_id": "126471669"}, {"ref": "kotakakujp/student-status-prediction-kaku-final", "kernel_id": "126562703"}, {"ref": "masudahidenori/notebooka6621da354", "kernel_id": "126561588"}, {"ref": "liuzhengjiang/liu-zheng-jiang", "kernel_id": "126465798"}, {"ref": "watanabeyuuto/plot2", "kernel_id": "126562288"}, {"ref": "abcde1928/notebookf9c50bdbd9", "kernel_id": "127547396"}, {"ref": "c612633014kousei/notebook1da9e92e61", "kernel_id": "127546756"}, {"ref": "abcde1928/notebook026c07d490", "kernel_id": "128443182"}, {"ref": "masudahidenori/notebook584d9b4d42-masuda-final", "kernel_id": "128448214"}, {"ref": "watanabeyuuto/plot2-8550bb", "kernel_id": "128450387"}, {"ref": "zqx960151285/classification-with-an-academic-success-dataset", "kernel_id": "129672211"}, {"ref": "ahmeddsaed/classification-with-an-academic-success", "kernel_id": "130555535"}, {"ref": "melodimoosavi/academic-classification", "kernel_id": "134866736"}]}
{"competition_id": "73291", "kernels": [{"ref": "cpmpml/the-power-of-undersampling-cudf-pandas", "kernel_id": "61591250"}, {"ref": "rohanrao/automl-grand-prix-1st-place-solution", "kernel_id": "61418993"}, {"ref": "paddykb/ps-s4e7-keras-haz-insurance-losses", "kernel_id": "61596537"}, {"ref": "tilii7/tuned-catboost-10fold", "kernel_id": "61679002"}, {"ref": "simakov/lightautoml-denselight", "kernel_id": "61417972"}, {"ref": "simakov/3d-place-automl-grand-prix-lightautoml-inference", "kernel_id": "61414903"}, {"ref": "psydelix/tps-s04e07-speed-is-king", "kernel_id": "61503527"}, {"ref": "docxian/ps-s4-e07-insurance-cross-selling", "kernel_id": "61333297"}, {"ref": "thegodchurch/eda-binary", "kernel_id": "61544025"}, {"ref": "thegodchurch/initial-voting", "kernel_id": "61326583"}, {"ref": "thegodchurch/xgboost-intial", "kernel_id": "61374289"}, {"ref": "thegodchurch/xgboost-finetuning-the-king", "kernel_id": "61389656"}, {"ref": "oscarm524/ps-s4-ep-7-eda-modeling-submission", "kernel_id": "61317595"}, {"ref": "natsu18/pgs-s4e7-all-you-need-is-xgboost", "kernel_id": "61473716"}, {"ref": "jackyfalyfe/ps4e7-automated-eda-insurance-cross-sale", "kernel_id": "61660508"}, {"ref": "jackyfalyfe/s4e7-information-value-to-find-useful-features", "kernel_id": "61982459"}, {"ref": "akmalmir/ensemble-of-automls", "kernel_id": "61382261"}, {"ref": "akmalmir/insurance-2024-automl-autoxgb-classification", "kernel_id": "61326605"}, {"ref": "akmalmir/linear-l2-lgb-lgb-tuned-ps4-e7-0-88529", "kernel_id": "61346177"}, {"ref": "stpeteishii/pgs-s4e7-linearregression", "kernel_id": "61419677"}, {"ref": "stpeteishii/pgs-s4e7-with-pca-visualize-importance", "kernel_id": "61436439"}, {"ref": "stpeteishii/pgs-s4e7-pca-multiplemodels", "kernel_id": "61433238"}, {"ref": "stpeteishii/pgs-s4e7-lazy-predict", "kernel_id": "61425202"}, {"ref": "stpeteishii/pgs-s4e7-pycaret-regression", "kernel_id": "61425600"}, {"ref": "stpeteishii/pgs-s4e7-gradientboostingregressor", "kernel_id": "61475542"}, {"ref": "stpeteishii/pgs-s4e7-lgbmregressor", "kernel_id": "61478249"}, {"ref": "stpeteishii/pgs-s4e7-catboostregressor", "kernel_id": "61479046"}, {"ref": "annastasy/ps4e7-xgboost-in-insurance-eda-visuals", "kernel_id": "61446582"}, {"ref": "dkhundley/playground-s4e7-insurance-cross-selling", "kernel_id": "61647780"}, {"ref": "thammuio/insurance-cross-selling-interactive-eda", "kernel_id": "61860185"}, {"ref": "blade007/average-approach-to-ps-s4-e7", "kernel_id": "61327427"}, {"ref": "sukanto/s4-e7-preliminary-eda", "kernel_id": "61325450"}, {"ref": "sukanto/s4-e7-correlation-not-causation", "kernel_id": "61521335"}, {"ref": "mpwolke/health-insurance-cross-selling", "kernel_id": "61319914"}, {"ref": "mvoulo/feature-engineering-for-fun", "kernel_id": "61675983"}, {"ref": "innixma/4th-place-automl-grand-prix-automl-grandmasters", "kernel_id": "61386045"}, {"ref": "muhammedtariq99/binary-class-comp", "kernel_id": "61416383"}, {"ref": "danielbrommer/binary-classification-of-insurance-cross-selling", "kernel_id": "61375458"}, {"ref": "p7476762/eda-gans-lgbm-method-try-model-s-comparison", "kernel_id": "61473301"}, {"ref": "ruba000/binary-classification-result", "kernel_id": "61533473"}, {"ref": "hittmg/240701binary-classification-of-insurance-cross-sel", "kernel_id": "61338895"}, {"ref": "ivanblch/seminar6-dpo", "kernel_id": "61488998"}, {"ref": "ivanblch/seminar7-dpo", "kernel_id": "61750247"}, {"ref": "ivanblch/seminar5-dpo", "kernel_id": "61417494"}, {"ref": "ivanblch/seminar8-dpo", "kernel_id": "61946256"}, {"ref": "pinoystat/ps-s4e7-keras-polars-binary-classification", "kernel_id": "61867074"}, {"ref": "pinoystat/ps-s4e7-xgboost-and-polars-binary-classification", "kernel_id": "61783297"}, {"ref": "ahmetyldrr/insurance-cross-selling-basic-xgboost", "kernel_id": "61631992"}, {"ref": "yeonseokcho/binary-classification-of-insurance-cross-selling", "kernel_id": "61531245"}, {"ref": "shikameow/simple-tf-keras-solution", "kernel_id": "61483302"}, {"ref": "nischaydnk/2nd-place-solution-automl-july", "kernel_id": "61559888"}, {"ref": "abdelrhmanashraf/nn-lightgbm", "kernel_id": "61683531"}, {"ref": "sachinmohanty/playgrounds4e07-eda-for-beginners", "kernel_id": "61375644"}, {"ref": "hopesb/binary-classification-of-insurance-cross-selling", "kernel_id": "61443662"}, {"ref": "damanjeetkaur/insurance-analysis", "kernel_id": "61577887"}, {"ref": "nainavallurupalli/binary-classification-of-insurance-cross-selling", "kernel_id": "61870636"}, {"ref": "thiagomantuani/ps4e7-binary-classification-get-started", "kernel_id": "61323471"}, {"ref": "yeoyunsianggeremie/87-6-probabilistic-approach", "kernel_id": "61529563"}, {"ref": "tracyporter/play-4-7-passive-agressive-class", "kernel_id": "61424883"}, {"ref": "tracyporter/play-4-7-tf-log-reg", "kernel_id": "61408925"}, {"ref": "tracyporter/play-4-7-tf-binary", "kernel_id": "61343914"}, {"ref": "tracyporter/play-4-7-hist-grad-boost-clas", "kernel_id": "61637620"}, {"ref": "stevereadman/play-s4e7-tensorflow-model", "kernel_id": "61378885"}, {"ref": "stevereadman/lightgbm-randomizedsearchcv", "kernel_id": "61424831"}, {"ref": "faithhunja/binary-classification-of-insurance-cross-selling", "kernel_id": "61488991"}, {"ref": "thomasmeiner/automl-grandprix-bluecast", "kernel_id": "61322946"}, {"ref": "thomasmeiner/bluecast-public-lb-0-88808", "kernel_id": "61424585"}, {"ref": "thomasmeiner/automl-grand-prix-bluecast-26th-place-solution", "kernel_id": "61398645"}, {"ref": "naveenreddy9182/insuranceanalysis", "kernel_id": "61740780"}, {"ref": "meryemgenc/eda-of-insurance-cross-selling", "kernel_id": "61472637"}, {"ref": "cyrilbourgeois/s04e07-binary-classif-insurance-cross-sell-automl", "kernel_id": "61320619"}, {"ref": "sarahhh123/logistic-regression", "kernel_id": "61524868"}, {"ref": "sarahhh123/nn-1-20-20", "kernel_id": "61486817"}, {"ref": "sowmyavaara/insurance", "kernel_id": "61990859"}, {"ref": "atharvmj082k/health-insurance-cross-selling-eda-and-base", "kernel_id": "61566008"}, {"ref": "haroon669/ps4e7", "kernel_id": "61655792"}, {"ref": "georgedoukas/insurance-cross-selling-flaml", "kernel_id": "61374807"}, {"ref": "artemzysko/ps4e7-eda-lgbm-optuna", "kernel_id": "61361704"}, {"ref": "roberthatch/automl3-6th-place-lgb-part", "kernel_id": "61689295"}, {"ref": "roberthatch/automl3-6th-place-xgb-part", "kernel_id": "61689013"}, {"ref": "roberthatch/automl3-6th-place-ensembling-technique", "kernel_id": "61689046"}, {"ref": "roberthatch/automl3-lightautoml-tuned-only", "kernel_id": "61357238"}, {"ref": "roberthatch/automl3-6th-place-lightautoml-part", "kernel_id": "61333747"}, {"ref": "jimgruman/how-hard-can-this-be", "kernel_id": "61424609"}, {"ref": "jimgruman/why-choose-to-bundle-with-slate-farm", "kernel_id": "61357970"}, {"ref": "vladimirmijatovic/insurance-h20-baseline", "kernel_id": "61375233"}, {"ref": "vladimirmijatovic/insurance-eda-for-the-rest-of-us", "kernel_id": "61369178"}, {"ref": "pratikshagarkar/insurance-cross-selling", "kernel_id": "61587995"}, {"ref": "nehalroy/simple-lgbm-classifier-ps4e7", "kernel_id": "61340437"}, {"ref": "kaushaltiwari/basic-attempt-with-a-few-different-techniques", "kernel_id": "61903545"}, {"ref": "faroughashkouti/eda-logesticregression-xgboost", "kernel_id": "61818326"}, {"ref": "nikhil7280/playgrounds4e07-eda-lgbm-baseline", "kernel_id": "61346887"}, {"ref": "srsses/insurance-cross-selling", "kernel_id": "61490320"}, {"ref": "richa1singh/insurance-cross-selling", "kernel_id": "61406154"}, {"ref": "richa1singh/classification-of-insurance-cross-selling", "kernel_id": "61961163"}, {"ref": "nurulsakinah/insurance-cross-selling-classification-xgb", "kernel_id": "61435396"}, {"ref": "shubham1111/s04e07-eda-binary-classification", "kernel_id": "61351860"}, {"ref": "thomaswrightanderson/ps4e7-insurance-cross-selling", "kernel_id": "61891136"}, {"ref": "seraquevence/r-keras-ps-s4e7-v01-neural-net", "kernel_id": "61506703"}, {"ref": "ankandebnath/binary-classification-of-insurance-cross-selling", "kernel_id": "61363620"}, {"ref": "satyaprakashshukl/insurance-boost-analysis", "kernel_id": "61340794"}, {"ref": "satyaprakashshukl/insurance-classification", "kernel_id": "61331276"}, {"ref": "satyaprakashshukl/h20-insurance-analysis", "kernel_id": "61415698"}, {"ref": "ayaabdalsalam/binary-classification-of-insurance-cross-selling", "kernel_id": "61697993"}, {"ref": "ameyadamle/binary-insurance-classification-pipeline", "kernel_id": "61975983"}, {"ref": "ravi20076/playgrounds4e07-eda-baseline-v1", "kernel_id": "61321329"}, {"ref": "ravi20076/playgrounds4e07-compresseddata", "kernel_id": "61360256"}, {"ref": "ravi20076/playgrounds4e07-lama-v1", "kernel_id": "61331891"}, {"ref": "ravi20076/playgrounds4e07-autogluon-starter", "kernel_id": "61335156"}, {"ref": "mobinapoulaei/team8-dslanders", "kernel_id": "61544029"}, {"ref": "tigersea/data-exploration", "kernel_id": "61346332"}, {"ref": "yukawithdata/binary-classification-insurance-baseline-setup", "kernel_id": "61381006"}, {"ref": "klyushnik/insurance-cross-selling-full-project", "kernel_id": "61378667"}, {"ref": "faisalalbasu/kaggle-pg-insurance-prediction", "kernel_id": "61629500"}, {"ref": "susanketsarkar/ps4e7-insurance-cross-selling-eda", "kernel_id": "61364416"}, {"ref": "susanketsarkar/ps4e7-adversarial-validation-merge-original-data", "kernel_id": "61366432"}, {"ref": "susanketsarkar/ps4e7-baseline-notebook", "kernel_id": "61394620"}, {"ref": "suehuynh/s4e7-binary-classification-xgb-cat-lgb", "kernel_id": "61564524"}, {"ref": "chitrakshsingh/cross-selling", "kernel_id": "61443840"}, {"ref": "sisiravk/binary-classification-of-insurance-cross-selling", "kernel_id": "61893817"}, {"ref": "antriksharya/data-preprocess-and-cleaning-11-5m-12-to-2-75m-8", "kernel_id": "61418765"}, {"ref": "antriksharya/baseline-neural-network", "kernel_id": "61484433"}, {"ref": "rubanzasilva/fastai-neural-network-gradient-boosting", "kernel_id": "61726982"}, {"ref": "rzatemizel/stacking-xgb-lgbm-catb-ann", "kernel_id": "61564419"}, {"ref": "rzatemizel/single-model-baseline-xgboost", "kernel_id": "61424021"}, {"ref": "anshumandebashis/insurancecrosssellingoptimized1", "kernel_id": "61522445"}, {"ref": "mariusborel/let-s-explore-the-data-benchmark", "kernel_id": "61319368"}, {"ref": "gkanamoto/ps4e7-catboost", "kernel_id": "61493711"}, {"ref": "gkanamoto/ps4e7-lgbm", "kernel_id": "61422638"}, {"ref": "naaaeun/kaggle-python-240711", "kernel_id": "61925703"}, {"ref": "samvelkoch/s4e7-eda-by-autogluon", "kernel_id": "61326507"}, {"ref": "samvelkoch/s4e7-openfe-316-features-add-on", "kernel_id": "61348386"}, {"ref": "samvelkoch/s4e7-feature-tools-56-feature-extractor", "kernel_id": "61350448"}, {"ref": "samvelkoch/automl-grand-prix-5th-place-solution", "kernel_id": "61445541"}, {"ref": "aseemmadaan/notebookef1e2224e1", "kernel_id": "61677093"}, {"ref": "mattop/ps-s4-e7-fasteda", "kernel_id": "61319043"}, {"ref": "willatran/wat-s-ml-eda-pss4e7", "kernel_id": "61459584"}, {"ref": "khoatran311/change-data-types-use-parquet-for-less-memory", "kernel_id": "61378956"}, {"ref": "akokoo/s4e07-data-xgboost-eda", "kernel_id": "61322205"}, {"ref": "chanchal24/insurance-cross-selling-using-7-model", "kernel_id": "61362443"}, {"ref": "bhaveshg20/insurance-cross-selling-via-kan", "kernel_id": "61555095"}, {"ref": "gmudit/ps-s4e7-increase-performance-dask-catboost-gpu", "kernel_id": "61542209"}, {"ref": "hashidoyuto/eda-lightgbm-insurance-cross-selling", "kernel_id": "61355688"}, {"ref": "harharharhar/insurance", "kernel_id": "61849949"}, {"ref": "preethamgouda/0-89-score-top-300-submission", "kernel_id": "61772509"}, {"ref": "sajjadhajian/ps4e7-data-insights-eda-data-types", "kernel_id": "61405149"}, {"ref": "sajjadhajian/ps4e7-eda-feature-importance-lgbm", "kernel_id": "61318480"}, {"ref": "shauandss/applying-balancing-methods", "kernel_id": "61943709"}, {"ref": "francescoliveras/ps-s4-e7-eda-model-en-es", "kernel_id": "61332745"}, {"ref": "gungun1309/majority-voting-of-ensembles", "kernel_id": "61530946"}, {"ref": "dimitrijschulz/ps4e7-insurancecrossselling-prscore-0-89231", "kernel_id": "61682063"}, {"ref": "sejalhanmante/eda-xgboost-classifier-others", "kernel_id": "61762517"}, {"ref": "shayanshahid997/binary-classification-of-insurance-cross-selling", "kernel_id": "61909820"}, {"ref": "warriorwizard/ps4e7-classification-of-insurance-cross-selling", "kernel_id": "61967283"}, {"ref": "avdhesh15/s4-e7-competition", "kernel_id": "61335467"}, {"ref": "jigneshkirtinagda/insurance-cross-selling", "kernel_id": "61626342"}, {"ref": "jorjo2009/insurance-eda-catboost-bayes", "kernel_id": "61417359"}, {"ref": "alhsan/binary-classification-insurance-cross-selling", "kernel_id": "61567631"}, {"ref": "natchaphonkamhaeng/pg-s04-e07-binary-classification-insurance-sell", "kernel_id": "61875580"}, {"ref": "abbasseifossadat/playgrounds4e07-xgboost-0-89255", "kernel_id": "61502606"}, {"ref": "teranekerimova/eda-ml", "kernel_id": "61983269"}, {"ref": "dem0nking/automl-grand-prix-team-netrunnerz-tpot-model", "kernel_id": "61543239"}, {"ref": "chogerlate/ps4e7-kyle-pass-to-luka-3-point-step-back", "kernel_id": "61408913"}, {"ref": "narekaristakesyan/eda-catboost-xgb-voting", "kernel_id": "61340342"}, {"ref": "syednazmussakib/s4e7-ensemble-learning-lgbm-cb-xgb", "kernel_id": "61742099"}, {"ref": "habilamar/xgboost-kaggle-pg-s4e7", "kernel_id": "61366837"}, {"ref": "shubhamjariwala/s4e7-binary-classification", "kernel_id": "61369654"}, {"ref": "vishnupriyagarige/insurance-cross-selling-classification", "kernel_id": "61326410"}, {"ref": "vishnupriyagarige/insurance-catboost", "kernel_id": "61453204"}, {"ref": "gyogyocat/4-7eda-tune-gbm-xg-cat", "kernel_id": "61318530"}, {"ref": "nehagupta09/binary-classification-of-insurance-cross-selling", "kernel_id": "61435192"}, {"ref": "mehdimiravareh/lgbm-xgb-acc-89", "kernel_id": "61560981"}, {"ref": "vibhorejain1/insaurance-cross-selling", "kernel_id": "61462302"}, {"ref": "rabbitx86/begginer-lightgbm-optuna-score-0-88181", "kernel_id": "61753617"}, {"ref": "sandiledesmondmfazi/binary-classification-s4e07-beginner-level", "kernel_id": "61819856"}, {"ref": "metlnfoor/xgboost-eda-scaling-encoding", "kernel_id": "61477014"}, {"ref": "abeshith/ps4e7-lgbm-smote", "kernel_id": "61332077"}, {"ref": "abeshith/ps4e7-catboost-smote", "kernel_id": "61357840"}, {"ref": "yashchavhan08/notebook", "kernel_id": "61815351"}, {"ref": "omartarekmoh/eda-interpreting-xgboost", "kernel_id": "61799485"}, {"ref": "omartarekmoh/xgboost-insights-optimized-with-optuna", "kernel_id": "61858840"}, {"ref": "shlokshivkar/s4e7-eda-boosting-ensemble-baselinemodels", "kernel_id": "61365748"}, {"ref": "sztnhopsz/binary-classification-challenge", "kernel_id": "61400843"}, {"ref": "parthdande/ps-s4e7-eda-submission", "kernel_id": "61356807"}, {"ref": "bhanupratapbiswas/insurance-cross-selling-se-04-ep-07", "kernel_id": "61374152"}, {"ref": "darkdevil18/0-89698-ps4e7-are-you-insured", "kernel_id": "61885414"}, {"ref": "alkidiarete/h20-automl", "kernel_id": "61323581"}, {"ref": "alkidiarete/voting-classifier", "kernel_id": "61810202"}, {"ref": "arunklenin/ps4e7-classification-generalization", "kernel_id": "61356330"}, {"ref": "huthayfahodeb/xgboost-in-insurance-88-score-full-pipeline", "kernel_id": "61501912"}, {"ref": "sukannadas/binary-classification-xgboost", "kernel_id": "61893737"}, {"ref": "arnavmishra6996/xgboost-hyperparameter-optimization-with-optuna", "kernel_id": "61685136"}, {"ref": "nicolasorefice/voting-clf", "kernel_id": "61683643"}, {"ref": "martinapreusse/gam-baseline-r", "kernel_id": "61851771"}, {"ref": "martinapreusse/ps4e7-the-power-of-undersampling-xgb-bags", "kernel_id": "61410524"}, {"ref": "martinapreusse/ps4e7-insurance-cross-selling-lgbm-py", "kernel_id": "61340986"}, {"ref": "usmanbashir1/classification-model-insurance-cross-selling", "kernel_id": "61408386"}, {"ref": "cconsta1/basic-setup-gradient-boosting-classifier", "kernel_id": "61546323"}, {"ref": "seventyfivebyte/highest-0-8772-tensorflow", "kernel_id": "61694305"}, {"ref": "jmascacibar/optimizing-memory-usage-with-insurance-cross-sell", "kernel_id": "61352634"}, {"ref": "shwetadevkhile/insurance-cross-selling-classification", "kernel_id": "61963607"}, {"ref": "oleksiimartusiuk/s4e7-binary-classification-of-insurance-x-sell", "kernel_id": "61357631"}, {"ref": "heetvekariya/binary-classification-competition", "kernel_id": "61909426"}, {"ref": "fredericnicholson/pyspark-logistic-regression-half-dataset", "kernel_id": "61987684"}, {"ref": "fredericnicholson/polars-data-processing-nn", "kernel_id": "61990107"}, {"ref": "manavgupta92/smallest-notebook-you-ever-need-ps4e7", "kernel_id": "61333133"}, {"ref": "abhaysharma38/ps4e7-eda-visualization", "kernel_id": "61400608"}, {"ref": "abhaysharma38/ps4e7-f-e-xgboost-0-87985-score", "kernel_id": "61979033"}, {"ref": "abhaysharma38/ps4e7-feature-engineering-lightgbm", "kernel_id": "61936538"}, {"ref": "bartlomiejszolkowski/eda-xgboost", "kernel_id": "61631814"}, {"ref": "shadesh/ml-pipeline-using-xgboost-svm-naive-bayes", "kernel_id": "61790666"}, {"ref": "shadesh/comprehensive-ml-model-evaluation-with-catboost", "kernel_id": "61839777"}, {"ref": "shadesh/binary-classification-of-insurance-cross-selling", "kernel_id": "61728539"}, {"ref": "jaswanthlsvyj/classification-of-insurance-cross-selling", "kernel_id": "61403738"}, {"ref": "hungkat/quick-xgboost-for-medical-insurance-prediction", "kernel_id": "61520902"}, {"ref": "commentsm/binary-insurance-cross-selling", "kernel_id": "61496328"}, {"ref": "niketasengar/binary-classification-insurance", "kernel_id": "61846551"}, {"ref": "v1rtu050/kaggle-comp-insurance-cross-selling", "kernel_id": "61870930"}, {"ref": "pratyushojha12/binary-classification-of-insurance-cross-selling", "kernel_id": "61388990"}, {"ref": "pratyushojha12/automl-binary-classification-of-insurance-cross", "kernel_id": "61498846"}, {"ref": "xxzhangzhen/classifier-of-insurance", "kernel_id": "61543050"}, {"ref": "samiraalipour/lightautoml-insurance-cross-selling-prediction", "kernel_id": "61367800"}, {"ref": "amri11/insurance-cross-selling-eda-predict", "kernel_id": "61454627"}, {"ref": "lizasareen/principle-component-analysis", "kernel_id": "61587156"}, {"ref": "kshitijmishra20/july-chalenge", "kernel_id": "61377309"}, {"ref": "victortennis/binay-classification-insurance-in-r", "kernel_id": "61448651"}, {"ref": "manarabdelgawad/binary-classification-of-insurance-cross-selling", "kernel_id": "61917227"}, {"ref": "sujaymann/insurancecrossselling-lightgbm-optuna", "kernel_id": "61493129"}, {"ref": "sujaymann/insurancecrosssellingcomp-xgb-optuna", "kernel_id": "61933924"}, {"ref": "ivanmitriakhin/xgboost-baseline", "kernel_id": "61685995"}, {"ref": "ivanmitriakhin/lightgbm-baseline", "kernel_id": "61490803"}, {"ref": "prioahmed/notebooks-for-beginners-like-me", "kernel_id": "61469857"}, {"ref": "mikhailnaumov/classification-insurance-cross-selling-ensemble", "kernel_id": "61371623"}, {"ref": "ravaghi/s04e07-insurance-cross-selling-catboost", "kernel_id": "61844448"}, {"ref": "ravaghi/s04e07-insurance-cross-selling-xgboost", "kernel_id": "61557415"}, {"ref": "ravaghi/s04e07-insurance-cross-selling-lightgbm", "kernel_id": "61557416"}, {"ref": "ravaghi/s04e07-insurance-cross-selling-ann", "kernel_id": "61889242"}, {"ref": "akinduhiman/insurance-cross-selling-ps4e7-gbt-xgb-lgbm-cat", "kernel_id": "61378022"}, {"ref": "nilotpalmaitra/binary-classification-of-insurance-cross-selling", "kernel_id": "61410734"}, {"ref": "maxymrim/insurance-cross-selling-xgboost", "kernel_id": "61417111"}, {"ref": "kingkcabir/cross-selling", "kernel_id": "61540219"}, {"ref": "dhruvtibarewal/ps-s4-ep-7-eda-modeling-xgb-0-88", "kernel_id": "61327170"}, {"ref": "abdmental01/ps4e7-modeling-submission", "kernel_id": "61323499"}, {"ref": "abdmental01/optuna-ps4e7-lgbm-power", "kernel_id": "61387794"}, {"ref": "abdmental01/ps4e7-autogulon-get-started", "kernel_id": "61377160"}, {"ref": "sojibbhattacharjee/insurance-cross-selling", "kernel_id": "61976098"}, {"ref": "zeyadsayedadbullah/insurance-prediction-xgboost", "kernel_id": "61700716"}, {"ref": "fanhuaiyuan/practice-baseline-using-wandb", "kernel_id": "61772671"}, {"ref": "igorvolianiuk/ps4e7-only-catboost", "kernel_id": "61655843"}, {"ref": "khangtran94vn/classification-of-insurance-cross-selling", "kernel_id": "61369915"}, {"ref": "mehakiftikhar/ps4e7-predicting-insurance-cross-selling-success", "kernel_id": "61348736"}, {"ref": "ericmundt/simple-approach-to-binary-classification", "kernel_id": "61677140"}, {"ref": "sudhanvahg/insurance-cross-selling", "kernel_id": "61757076"}, {"ref": "saleepshrestha/insurance-cross-selling-v1", "kernel_id": "61751864"}, {"ref": "arnabmathjee/insurance-company", "kernel_id": "61467149"}, {"ref": "ismailaliahmed/insurance-cross-selling-competition", "kernel_id": "61597867"}, {"ref": "satyajeetrai/model-building-using-pipeline", "kernel_id": "61936140"}, {"ref": "satyajeetrai/model-building-using-pipelines", "kernel_id": "61886176"}, {"ref": "kirahhayatdata/efficient-insurance-cross-selling-using-catboost", "kernel_id": "61676471"}, {"ref": "sheshikumar/insurance-classification", "kernel_id": "61892638"}, {"ref": "yorkyong/s4e7-insurance-cross-selling-classification", "kernel_id": "61362525"}, {"ref": "khadidjabrakta/classification-health-insurance", "kernel_id": "61489566"}, {"ref": "rithvikmuthyapu/ps4e7-data-visualization-submission-w-tf-ann", "kernel_id": "61439335"}, {"ref": "viditgandhi/insurance-cross-selling-randomforestclassifier", "kernel_id": "61421643"}, {"ref": "ilkergungor/xgboost-optuna-eda-manuel-feature-engineering", "kernel_id": "61665076"}, {"ref": "nagelmar/insurance-cross-selling-binary-classification", "kernel_id": "61871167"}, {"ref": "bradblackbourn/bin-class-of-insurance-cross-sell-using-fastai", "kernel_id": "61980259"}, {"ref": "kota0806/ps4e7-first-submission-87-7", "kernel_id": "61340778"}, {"ref": "ssseth05/insurance-cross-selling-averaging", "kernel_id": "61332920"}, {"ref": "danialia/catboost-magic-ps4-ep7", "kernel_id": "61438909"}, {"ref": "eliyahusanti/ps4e7-automl-fedot-catboost", "kernel_id": "61319951"}, {"ref": "eliyahusanti/ps4e7-automl-fedot-8-hours", "kernel_id": "61319616"}, {"ref": "monish38/this-one-is-using-normal-logistic-regression", "kernel_id": "61597773"}, {"ref": "monish38/ps-didn-t-learnt-anything-suggest-improvements", "kernel_id": "61595947"}, {"ref": "monish38/neural-net-with-feature-selections", "kernel_id": "61355232"}, {"ref": "aliashraf6649/binary-classification-of-insurance-cross-selling", "kernel_id": "61431542"}, {"ref": "space4/playground-series-s4e7-using-xgboost", "kernel_id": "61756364"}, {"ref": "milind25/binary-classification", "kernel_id": "61981511"}, {"ref": "marius2303/top-4-binary-classification-ics-xgb-cb-lgbm", "kernel_id": "61586632"}, {"ref": "ansh0x/binary-classification-of-insurance-cross-selling", "kernel_id": "61344451"}, {"ref": "anipianics/xgboost-catboost-optuna", "kernel_id": "61715511"}, {"ref": "yichuanhuang/ps4e7-xgb-pytorch", "kernel_id": "61545155"}, {"ref": "suvroo/ps4e7-optuna-xgboost-klib", "kernel_id": "61697740"}, {"ref": "sethgersbach/notebook4fbac0ea0e", "kernel_id": "61694066"}, {"ref": "saurabhvermaa/notebook6b4dcc0edd", "kernel_id": "61576928"}, {"ref": "saurabhvermaa/notebookd48410de7b", "kernel_id": "61577094"}, {"ref": "ahmedhassansaqr/insurance-cross-selling", "kernel_id": "61699197"}, {"ref": "clemencetravers/s4-e7-neural-network", "kernel_id": "61883672"}, {"ref": "charlie130/automl-grand-prix-theory-explained-improvement", "kernel_id": "61830714"}, {"ref": "vedkulkarni17/lama-denselight-forked", "kernel_id": "61471499"}, {"ref": "vedkulkarni17/lama-dl", "kernel_id": "61465671"}, {"ref": "lvcode/automl-h2o", "kernel_id": "61414996"}, {"ref": "kazumayamauchi/notebook43e5f2ceff", "kernel_id": "61578954"}, {"ref": "mmaruirr/bcics", "kernel_id": "61584373"}, {"ref": "hiroyukimurakami1/insurance-lgbm", "kernel_id": "61675893"}, {"ref": "uwnede/notebook4805011586", "kernel_id": "61371689"}, {"ref": "vaishmali/cross-selling", "kernel_id": "61810028"}, {"ref": "paddykb/using-fastai-shared-with-bradblackbourn", "kernel_id": "62491849"}, {"ref": "martincampbell/model-pipeline-1", "kernel_id": "62709265"}, {"ref": "cdthinh/key-findings-base-lightgbm-with-1-5-data-0-88", "kernel_id": "62667690"}, {"ref": "cyberia/lgbmclassifier", "kernel_id": "62014772"}, {"ref": "cyberia/gpu-pytorch", "kernel_id": "62028292"}, {"ref": "ianchute/ics-damaged-vehicle-model-8h", "kernel_id": "62501177"}, {"ref": "ianchute/ics-autogluon-6h", "kernel_id": "62300312"}, {"ref": "datascientistsohail/onehotencoding-ics-classification", "kernel_id": "62208679"}, {"ref": "sehvir83/mlops-pipeline", "kernel_id": "62053229"}, {"ref": "salonee/binaryclassification", "kernel_id": "62807250"}, {"ref": "gsparsh2205/resnet-baseline-optuna-lightning", "kernel_id": "62073179"}, {"ref": "gsparsh2205/cat-xgb-lgbm-optuna", "kernel_id": "62801623"}, {"ref": "gsparsh2205/pytorch-tabular-kfold", "kernel_id": "62821984"}, {"ref": "theoviel/explaining-and-accelerating-target-encoding", "kernel_id": "62605366"}, {"ref": "stpeteishii/pgs-s4e7-gradientboostingregressor-w-optuna", "kernel_id": "62030282"}, {"ref": "stpeteishii/pgs-s4e7-catboostregressor-w-optuna", "kernel_id": "62038592"}, {"ref": "sukanto/s4-e7-features-baseline-training", "kernel_id": "62000014"}, {"ref": "wajahat1064/model-blending-predict-insurance-classification", "kernel_id": "62765346"}, {"ref": "saurav9786/insurance-cross-selling-classification", "kernel_id": "62520590"}, {"ref": "mashallandme/eda-nn-with-embedding-by-fastai", "kernel_id": "62413854"}, {"ref": "henrywang6/insurance-cross-sell-v7", "kernel_id": "62449211"}, {"ref": "aparoski/insurance-selling-eda-classification", "kernel_id": "62045536"}, {"ref": "vemendez/binary-classification-of-insurance-cross-selling", "kernel_id": "62058095"}, {"ref": "yassen2014/binary-classification-of-insurance-cross-selling", "kernel_id": "62123257"}, {"ref": "tarikelmoudden/predict-assurance-offre-deep-learning", "kernel_id": "62589164"}, {"ref": "agshiv92/pg-s4-e7-easy-to-understand", "kernel_id": "62194947"}, {"ref": "marcelamanzosagez/classification-of-insurance-cross-selling-eda", "kernel_id": "62253134"}, {"ref": "retal95/xgbclassifier-ahmedeed-v15", "kernel_id": "62045849"}, {"ref": "mohamedabder/01-eda-insurance-cross-selling", "kernel_id": "62203370"}, {"ref": "mohamedabder/02-modelisation-insurance-cross-selling", "kernel_id": "62203414"}, {"ref": "omkarchoulwar/playground-series-insurance-cross-selling", "kernel_id": "62079278"}, {"ref": "canzay/binary-classification-simple-solution-gbooster", "kernel_id": "62006972"}, {"ref": "sosperec/feature-engineering-and-eda-with-polars", "kernel_id": "62709340"}, {"ref": "sabyasachi96/tps2024-ep7-ml-insurancebinaryclassification", "kernel_id": "62334574"}, {"ref": "hieunguyendq/pss4e7-feature-understanding", "kernel_id": "62367460"}, {"ref": "danilocardoso/insurance-cross-selling-xgboost-power-bi", "kernel_id": "62398185"}, {"ref": "aarifansari/ml-model-creation", "kernel_id": "62548447"}, {"ref": "sowmyavaara/xgboost-with-optuna", "kernel_id": "62087362"}, {"ref": "rkoirala129/rupak-version-1", "kernel_id": "62562972"}, {"ref": "rkoirala129/version-2", "kernel_id": "62945824"}, {"ref": "shreyaggarwal2202/catboost-approach", "kernel_id": "62343484"}, {"ref": "selvasubramanians/catboostclassifier", "kernel_id": "62571604"}, {"ref": "kaushaltiwari/contrastive-model-for-finding-features", "kernel_id": "62281790"}, {"ref": "petewojtczak/neural-network-binary-classification-insurance", "kernel_id": "62001798"}, {"ref": "petewojtczak/ml-sklearn-binary-classification-insurance", "kernel_id": "62121138"}, {"ref": "kalebmaraccini/kaggle-playground-s4e7-binary-classification", "kernel_id": "62488878"}, {"ref": "teegalaajayreddy/binary-classification-of-insurance-cross-selling", "kernel_id": "62477174"}, {"ref": "m1y7k8/ps4e7-insurance-selling", "kernel_id": "62726352"}, {"ref": "ravi20076/playgrounds4e07-modelpp", "kernel_id": "62463069"}, {"ref": "ravi20076/playgrounds4e07-featurestore", "kernel_id": "62960903"}, {"ref": "shan007007/statistics-catboost-optuna", "kernel_id": "62863317"}, {"ref": "shan007007/statistics-lbgm-optuna", "kernel_id": "62513100"}, {"ref": "shan007007/statistics-xgboost-optuna", "kernel_id": "62688701"}, {"ref": "shan007007/catboost-lbgm-xgb-nn-powerd-by-statistics", "kernel_id": "62326052"}, {"ref": "maheshwari2000/cross-sell-hi", "kernel_id": "62415048"}, {"ref": "likhon148/ftr-eng-xgboost-ran-downsample", "kernel_id": "62026391"}, {"ref": "omidbaghchehsaraei/pss4e7-lightgbm-cv-0-89244-lb-0-89405", "kernel_id": "62742106"}, {"ref": "omidbaghchehsaraei/pss4e7-xgboost-for-insurance-cross-selling", "kernel_id": "62364234"}, {"ref": "niharikaamritkar/binary-classification-nb", "kernel_id": "62474657"}, {"ref": "rv1922/s4-e7-catboost-87-acc", "kernel_id": "62759264"}, {"ref": "rv1922/s4-e7-cat-xgb-lgm", "kernel_id": "62678374"}, {"ref": "rv1922/s4-e7-insurance-cross-selling", "kernel_id": "62644972"}, {"ref": "rv1922/s4-e7-catboost-88", "kernel_id": "62796677"}, {"ref": "thanaphatlee/binary-classification-of-insurance-cross-selling", "kernel_id": "62113953"}, {"ref": "satyammishra0/binary-classification-ics-fastai", "kernel_id": "62393656"}, {"ref": "uzairshafique/pss4e7-insurance-cross-sell-with-xgboost", "kernel_id": "62146681"}, {"ref": "panayiotismatzavras/binary-classification-of-insurance-cross-selling", "kernel_id": "62486596"}, {"ref": "ahmed3okka/pg-s4-e7-eda-modeling-submission", "kernel_id": "62317794"}, {"ref": "agirmaus/insurance-cross-selling-eda-xgboost", "kernel_id": "62098920"}, {"ref": "chiakuansiangjoshua/ml-for-insurance-cross-selling", "kernel_id": "62678705"}, {"ref": "quietseong/optuna-lgbm-public-0-8824", "kernel_id": "62762591"}, {"ref": "abhashrai/insurance-response-classification", "kernel_id": "62563269"}, {"ref": "maksudmalik/ps-s4e7-insurance-cross-selling-xgb-cb", "kernel_id": "62225508"}, {"ref": "stefansanchez26/ml-ensemble-models", "kernel_id": "62176023"}, {"ref": "willatran/ml-modeling-xgb-prog-sampling-pss4e7", "kernel_id": "62499499"}, {"ref": "willatran/test-xgboost-notebook", "kernel_id": "62514770"}, {"ref": "chanchal24/insurance-cross-selling-using-6-model", "kernel_id": "62585390"}, {"ref": "rudrakumar96/binary-classification", "kernel_id": "62897263"}, {"ref": "shreeharid/insurance-cross-selling-eda-xgboost-nn", "kernel_id": "62351110"}, {"ref": "yaminh/pss4e7-nn-version-2", "kernel_id": "62256175"}, {"ref": "jaesolshin/pseudo-labelling-cat-submission", "kernel_id": "62866808"}, {"ref": "bassetkerouche/seqsseq", "kernel_id": "62700421"}, {"ref": "anushkacodergirl/binaryclassification-insurancecrossselling", "kernel_id": "62430603"}, {"ref": "eli2022/ps4e7-xgb-eda", "kernel_id": "62743656"}, {"ref": "alasyamsaiteja/notebook11f874ceb6", "kernel_id": "62000366"}, {"ref": "katsiarynastalbun/insurance-cross-selling-eda", "kernel_id": "62966327"}, {"ref": "crisbebop/insurance-catboost-89-5", "kernel_id": "62119454"}, {"ref": "crisbebop/lightgbm-cluster-sample", "kernel_id": "62601051"}, {"ref": "teranekerimova/nn-pytorch", "kernel_id": "62498524"}, {"ref": "syednazmussakib/a-simple-neural-network-for-binary-classification", "kernel_id": "62104103"}, {"ref": "syednazmussakib/neural-network-based-solution", "kernel_id": "62102154"}, {"ref": "cristhianccalah/insurance-cross-selling-lgbm-catb-xgb", "kernel_id": "62177271"}, {"ref": "nodaka/distribution-and-response-percentage-by-plotly", "kernel_id": "62478039"}, {"ref": "gallo33henrique/ps4e7-ml-lightgbm-adaboost-predict-insurance-car", "kernel_id": "62508770"}, {"ref": "getanmolgupta01/pss4e7-xgb-cb-lgbm-voting", "kernel_id": "62535111"}, {"ref": "dimansinghahirwar/binaryclassification-on-insurance-cross-selling", "kernel_id": "62803794"}, {"ref": "akshatsharma0610/binary-classification-using-bagging", "kernel_id": "62335709"}, {"ref": "venkateshdukuru/binary-classification", "kernel_id": "62288642"}, {"ref": "tanishkpatil/car-insurance-cross-selling-xgboost-optuna", "kernel_id": "62387863"}, {"ref": "niteshkesharwani7790/notebook66bb300ac8", "kernel_id": "62986586"}, {"ref": "shivangkainthola/insurance-cross-selling-xgb-catb", "kernel_id": "62070720"}, {"ref": "iitm21f1003639/ps-s4e7-xgboost", "kernel_id": "62872277"}, {"ref": "ondrejmajor/insurance-cross-selling-classification-with-dnn", "kernel_id": "62416235"}, {"ref": "maxagrafa/insurance-cross-selling-with-nn", "kernel_id": "62269099"}, {"ref": "sergeidolin/ps4e7-full-project", "kernel_id": "62816296"}, {"ref": "anmol111pal/insurance-cross-selling-prediction", "kernel_id": "62399826"}, {"ref": "aidinhan/ics-binary", "kernel_id": "62476075"}, {"ref": "adityarai12/binary-classification-catboost", "kernel_id": "62657150"}, {"ref": "avicenne/simple-predict-beginner-xgb-bagging-voting", "kernel_id": "62141220"}, {"ref": "bhanupratapbiswas/binary-classification-of-insurance", "kernel_id": "62705840"}, {"ref": "l00ll000lll0/binary-classification-eda-logistic-regression", "kernel_id": "62455593"}, {"ref": "evelynartoria/pytorch-custom-dataset-for-cross-selling", "kernel_id": "62112829"}, {"ref": "ednaxx/ps4e7-binary-classification-of-insurance-cross", "kernel_id": "62555815"}, {"ref": "nanakshrestha/eda-of-binaryclassification-on-insurance", "kernel_id": "62563271"}, {"ref": "arnavmishra6996/xgboost-model", "kernel_id": "62291027"}, {"ref": "mohamedmaher5/binary-classification-of-insurance-cross-selling", "kernel_id": "62417187"}, {"ref": "marydata/xbg-classifier-tuning", "kernel_id": "62353000"}, {"ref": "nikitavet/insurance-cross-selling-lightautoml", "kernel_id": "62604415"}, {"ref": "nikitavet/insurance-cross-selling-denselight-tuned", "kernel_id": "62806315"}, {"ref": "nikitavet/insurance-cross-selling-blending", "kernel_id": "62972932"}, {"ref": "bengazjuk/playground-series-s4e7-xgboost", "kernel_id": "62348951"}, {"ref": "litsea/ps4e7-tensorflow-feature-engineering", "kernel_id": "62412530"}, {"ref": "pacificrm/eda-woe-infovalue-optuna-catboost", "kernel_id": "62831193"}, {"ref": "hyeondata/catboost-xgboost", "kernel_id": "62593252"}, {"ref": "cheesecke/insurance-cross-selling-prediction-with-catboost", "kernel_id": "62883168"}, {"ref": "cheesecke/insurance-cross-selling-prediction", "kernel_id": "62834561"}, {"ref": "soumyag09/insurance-eda-preprocessing-model-comparison", "kernel_id": "62739684"}, {"ref": "danielphys/fork-of-clasificaci-n-binaria-de-venta-cruzada-de", "kernel_id": "62727422"}, {"ref": "danielphys/fork-of-clasificaci-n-binaria-de-venta-cruz-84c2ad", "kernel_id": "62994005"}, {"ref": "mohit55/notebook5b30b6bc2f", "kernel_id": "62659069"}, {"ref": "curtiscoding1/ps4e7-eda-bayesian-optimisation-xgboost", "kernel_id": "62355999"}, {"ref": "curtiscoding1/0-89238-ps4e7-xgboost", "kernel_id": "62655982"}, {"ref": "erdoanpeker/binary-classification-of-insurance-cross-selling", "kernel_id": "62652630"}, {"ref": "samiraalipour/eda-binary-classification-of-insurance", "kernel_id": "62304904"}, {"ref": "athayarizki/s4e7-knn", "kernel_id": "62176639"}, {"ref": "halynyu/halyn-draft", "kernel_id": "62154038"}, {"ref": "younusmohamed/18-18-hybrid-of-xgb-and-dnn", "kernel_id": "62713709"}, {"ref": "younusmohamed/18-09-stack-of-xgb", "kernel_id": "62967368"}, {"ref": "devildyno/easy-and-simple-xgboost-classifier-0-88-acc", "kernel_id": "62460079"}, {"ref": "zaed2003/insurance-cross-selling-in-depth-eda-viz", "kernel_id": "62407028"}, {"ref": "baseershah/eda-optuna-score-0-89-with-boosting", "kernel_id": "62029449"}, {"ref": "egorandreasyan/lgbm-xgb-catboost-classification", "kernel_id": "62452840"}, {"ref": "ivanmitriakhin/5-fold-catboost-cv-0-89485-lb-0-89629", "kernel_id": "62056357"}, {"ref": "ogulcancck/insurance-cross-selling-eda-xgboost-optuna", "kernel_id": "62103937"}, {"ref": "khairnaratharva/uncovering-patterns-in-insurance-cross-selling", "kernel_id": "62708413"}, {"ref": "khairnaratharva/accuracy-more-than-87", "kernel_id": "62801582"}, {"ref": "poakjidjasfio/notebook27eec5b2f9", "kernel_id": "62850173"}, {"ref": "kyuoma45/binary-classification-of-insurance-cross-selling", "kernel_id": "62710973"}, {"ref": "ravaghi/insurance-cross-selling-6th-place-solution", "kernel_id": "62481778"}, {"ref": "ravaghi/s04e07-insurance-cross-selling-stacking", "kernel_id": "62168222"}, {"ref": "akinduhiman/blend-of-the-blends-insurance-cross-selling", "kernel_id": "62488326"}, {"ref": "ghulamhiader/binary-classification-of-insurance-cross-selling", "kernel_id": "62600946"}, {"ref": "guilhermepoliveira/ps4e07-cat-lgbm-lgr-weights", "kernel_id": "62772178"}, {"ref": "sathishgsmss/binary-classification-ann", "kernel_id": "62513320"}, {"ref": "swekerr/s4-e7-classification-of-insurance-selling-87", "kernel_id": "62758103"}, {"ref": "sowmyajayakanth/lightbgm-81-ieda", "kernel_id": "62660503"}, {"ref": "vishesh711/notebook9b59c94f2c", "kernel_id": "62365098"}, {"ref": "meloncc/ps4e7-blender-of-generalization", "kernel_id": "62625057"}, {"ref": "d1om3d3s/ps4e7-you-got-car-insurance-binary-classifier", "kernel_id": "62101194"}, {"ref": "abdalrhamnhebishy/insurance-classification", "kernel_id": "62458588"}, {"ref": "ahmadfirman/playground-s4e7", "kernel_id": "62576162"}, {"ref": "harsh221upadhyay/insurance-cross-xgboost-accuracy-87", "kernel_id": "62508041"}, {"ref": "danielemakporuena1/notebook0cd94a1677", "kernel_id": "62917677"}, {"ref": "ssyyhh/eda-of-insurance-cross-selling", "kernel_id": "62177235"}, {"ref": "khaledalrashidi1/insurance-cross-selling-top-5", "kernel_id": "62489351"}, {"ref": "satyajeetrai/backpropagation-for-regression", "kernel_id": "62220099"}, {"ref": "satyajeetrai/backpropagation-for-classification", "kernel_id": "62225419"}, {"ref": "satyajeetrai/xgb-ann", "kernel_id": "62153465"}, {"ref": "satyajeetrai/credit-card-fraud-detection", "kernel_id": "62685994"}, {"ref": "anshulm257/eda-ensemble-lgbm-catboost-xgb-0-88183", "kernel_id": "62192062"}, {"ref": "anshulm257/blend-xgb-cat-tuned-hyperparameters-0-89615", "kernel_id": "62257067"}, {"ref": "anshulm257/eda-optimizing-xgboost-hyperparameters-0-89428", "kernel_id": "62771808"}, {"ref": "mihailodin1/s4e7competition", "kernel_id": "62639723"}, {"ref": "metinmekiabullrahman/binary-clssification-xgboost-score-0-88", "kernel_id": "62364357"}, {"ref": "vtulasim30/pycaret-automl", "kernel_id": "62207779"}, {"ref": "aditi2005/lgbm-neural-network", "kernel_id": "62980595"}, {"ref": "vigneshalagappan/1-binary-classification-of-insurance-cross-selling", "kernel_id": "62719526"}, {"ref": "viditgandhi/insurance-cross-selling-xgbclassifier", "kernel_id": "62212862"}, {"ref": "aprajita300996/xgboost", "kernel_id": "62524364"}, {"ref": "bradblackbourn/ps4e7-gradient-boosting-exploration", "kernel_id": "62690372"}, {"ref": "phandai/ptd-insurancecrossselling", "kernel_id": "62516901"}, {"ref": "ronnyg123/nns-and-randomforests-ensembling", "kernel_id": "62211366"}, {"ref": "ridarazzaq/notebook41cda43363", "kernel_id": "62396306"}, {"ref": "chunghavin/insurance-cross-selling-optuna-catboost", "kernel_id": "62165308"}, {"ref": "saadsayed123/insuarance2-0", "kernel_id": "62772536"}, {"ref": "adhul000/binary", "kernel_id": "62399268"}, {"ref": "qasimhaseeb/binary-classification-of-insurance-0-8788", "kernel_id": "62660422"}, {"ref": "danishyousuf19/binary-classification-of-insurance-lgbm", "kernel_id": "62693456"}, {"ref": "mslatifpour/binary-classification-of-insurance-cross-selling", "kernel_id": "62888449"}, {"ref": "dougsassaman/binary-classification-insurance-cross-selling", "kernel_id": "62889389"}, {"ref": "sillankumar/insurance-selling-using-ensemble-tf", "kernel_id": "62267803"}, {"ref": "cloudwalker14/insurance-cross-selling-xgboost-self", "kernel_id": "62827042"}, {"ref": "syedfaizanalii/ps4e7-xgboost", "kernel_id": "62144818"}, {"ref": "lucasmotta47/0-885-binary-classification-xgboost", "kernel_id": "62556173"}, {"ref": "changhee1016/notebook242cb2e9e5", "kernel_id": "62941913"}, {"ref": "ivanergiev01/car-insurance-classification-models-eda-88", "kernel_id": "62901012"}, {"ref": "hilalalpak/mushroom-xgb-classifier-model-mcc-score", "kernel_id": "62499960"}, {"ref": "kavinnan/basic-ml", "kernel_id": "62681557"}, {"ref": "clemencetravers/s4-e7-xgboost", "kernel_id": "62381721"}, {"ref": "leedh10/notebook528eef5d6d", "kernel_id": "62738824"}, {"ref": "leedh10/binary-classification-of-insurance-cross-selling", "kernel_id": "62729079"}, {"ref": "derfkim/binary-classification-of-insurance-cross-selling", "kernel_id": "62726612"}, {"ref": "pauloarayasantiago/binary-classification-ps4e7-lightgbm-klib-optuna", "kernel_id": "62461910"}, {"ref": "pauloarayasantiago/blend-lgbm-xgb-catboost-xgb", "kernel_id": "62789532"}, {"ref": "rajpanicker/encoding-using-category-encoders-library", "kernel_id": "62602733"}, {"ref": "chikodiliethelnwa/eda-classification-insurance", "kernel_id": "62706465"}, {"ref": "oyakodonnnn/ds-last", "kernel_id": "62682976"}, {"ref": "ohnokousei/detascience", "kernel_id": "62670704"}, {"ref": "azyoshi/ds-last", "kernel_id": "62582477"}, {"ref": "basilrikim/2nd-insuarance-cross-selling", "kernel_id": "62075410"}, {"ref": "datamster/fork-of-ps4e7-xgb-catb", "kernel_id": "62965512"}, {"ref": "jiyoungeeeee/han-toss-kaggle-python24", "kernel_id": "62070475"}, {"ref": "ashwanisah1137/binary-classification-of-insurance-cross-selling", "kernel_id": "62864919"}, {"ref": "mohammadyousifjamali/binaryclassificationofinsurance", "kernel_id": "62001686"}, {"ref": "abareushidori/lgbm-with-fireducks-lb-0-878", "kernel_id": "62781497"}, {"ref": "cenmiao/more-gpus-will-improve-the-catboost-model-training", "kernel_id": "63102877"}, {"ref": "wamukoya/binary-classification-of-insurance-cross-selling", "kernel_id": "63076581"}, {"ref": "nickfecondo/insurance-cross-selling", "kernel_id": "63300760"}, {"ref": "marcelamanzosagez/insurance-selling-weight-of-evidence-catboost", "kernel_id": "63167895"}, {"ref": "valentinemwai/binary-classification-of-insurance-cross-selling", "kernel_id": "63048168"}, {"ref": "hyojesung/linear-regression-in-pytorch", "kernel_id": "63545137"}, {"ref": "shan007007/catboost-lbgm-xgb-nn-powerd-by-statistics-final", "kernel_id": "63144972"}, {"ref": "mobinapoulaei/stacking-team8-dslanders", "kernel_id": "63069211"}, {"ref": "fizzabatool9/car-insurance-prediction-using-ml-algos", "kernel_id": "63079550"}, {"ref": "rv1922/s4-e7-lgbm-89", "kernel_id": "63203678"}, {"ref": "rv1922/s4-e7-catboost-model-75", "kernel_id": "63022830"}, {"ref": "rv1922/s4-e7-insurance-88", "kernel_id": "63004601"}, {"ref": "banafshehheidari/notebookcf9a2f6586", "kernel_id": "63000635"}, {"ref": "ismetsemedov/binary-classification-of-insurance-cross-selling", "kernel_id": "63061866"}, {"ref": "panayiotismatzavras/binary-classification-of-insurance-version-2", "kernel_id": "63498464"}, {"ref": "alisoleymani69/binary-classification-of-insurance-cross-selling-7", "kernel_id": "63033522"}, {"ref": "crisbebop/inustance-logistic-regression", "kernel_id": "63023282"}, {"ref": "xjj1234/team8-dslanders", "kernel_id": "63145045"}, {"ref": "danieleavolio/lovaion-strategy", "kernel_id": "63031053"}, {"ref": "ujjawalsingh10/insurance-cross-selling-classification-adaboost", "kernel_id": "63005602"}, {"ref": "ashmit20/insurance-cross-selling", "kernel_id": "63013955"}, {"ref": "mohibus/gghoja", "kernel_id": "63164363"}, {"ref": "adityarai12/binary-classification-lgbm", "kernel_id": "63028131"}, {"ref": "nayansubedi1/xgboost", "kernel_id": "63001501"}, {"ref": "hyeondata/catboost-fold-20", "kernel_id": "63139562"}, {"ref": "minaalalam/binary-classification-of-insurance-cross-selling", "kernel_id": "63051746"}, {"ref": "bolajiabioye/binary-classification-final", "kernel_id": "63248428"}, {"ref": "rwng999/insurance-cross-selling-rf-public-0-85226", "kernel_id": "63252397"}, {"ref": "ratnajitdhar08/binary-classification-of-insurance-cross-selling", "kernel_id": "63052102"}, {"ref": "itsabba3/insurance-cross-selling-eda-ensemble-model", "kernel_id": "63231289"}, {"ref": "surekhaberlin/binary-classification-model-prediction", "kernel_id": "63315283"}, {"ref": "sridharsomisetti/insurance-classification", "kernel_id": "63017278"}, {"ref": "shariq20220/binary-classification-of-insurance-cross-selling", "kernel_id": "63075831"}, {"ref": "harshitstark/binary-classification-of-insurance-cross-selling", "kernel_id": "63083275"}, {"ref": "sergeykey/binary-classification-catboost", "kernel_id": "63322140"}, {"ref": "sweta2410/lgbm-and-xgb-classifier", "kernel_id": "63128601"}, {"ref": "ahmedsamir1598/voting-classifier-lgbm-catboost-xgb", "kernel_id": "63151371"}, {"ref": "bradblackbourn/ps4e7-simple-fastai-using-numerical-features", "kernel_id": "63090308"}, {"ref": "yyeung94/eda-catboost-xgb-voting", "kernel_id": "63442091"}, {"ref": "saranyaponnarasu/binary-classification-of-insurance-cross-selling", "kernel_id": "63087391"}, {"ref": "pauloarayasantiago/ps-s4e07-blend-cbc-lgbm-xgb-0-889", "kernel_id": "63049273"}, {"ref": "zvincent/ps4e7-xgboost-klib-optuna", "kernel_id": "63061658"}, {"ref": "zvincent/ps4e7-xgboost-klib-optuna-submission", "kernel_id": "63190536"}, {"ref": "mwrites/entity-embedding-neural-net-xgboost", "kernel_id": "63894115"}, {"ref": "hoseinnourii/binary-classification-of-insurance-cross-selling-7", "kernel_id": "63044391"}, {"ref": "deonkim/binary-classification-of-insurance-cross-selling", "kernel_id": "63139681"}, {"ref": "pyblend/adaboost", "kernel_id": "63132194"}, {"ref": "shiprasingh1202/statistics-xgboost-optuna", "kernel_id": "63138677"}, {"ref": "durgeshtiwari0153/insurance-cross-selling-binary-classification", "kernel_id": "63523210"}, {"ref": "acoxon/model-blending-predict-insurance-classification", "kernel_id": "64121086"}, {"ref": "zohourdiaaeldin/insurance-classification", "kernel_id": "64733384"}, {"ref": "hasinduanjana/insurance-cross-selling-binary-classification", "kernel_id": "64527536"}, {"ref": "werangarathnayaka/notebook9be26df6ca", "kernel_id": "64049215"}, {"ref": "naveenkumarvkg/bin-ins-classification", "kernel_id": "64164314"}, {"ref": "nguyenmm/binary-classification-of-insurance-cross-selling", "kernel_id": "64417680"}, {"ref": "vaibhavsingh00/insuranceselection", "kernel_id": "64789358"}, {"ref": "akhilsangaonkar/insurance-dataset-auc-0-88122-using-xgboost", "kernel_id": "65946969"}, {"ref": "suhailaaboubakr/insurance-cross-selling", "kernel_id": "67111162"}, {"ref": "cristhianccalah/loan-approval-prediction-lgbm-catb-xgb", "kernel_id": "67071843"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "alexanderkireev/02-ml-trainings-tabs", "kernel_id": "68153913"}, {"ref": "erenkonta/dl-classification-ile-sigorta-capraz-sat-s", "kernel_id": "68894496"}, {"ref": "bhatnagardaksh/automobile-insurance-purchase-analysis", "kernel_id": "69124689"}, {"ref": "vishnu0309/binary-classification-of-insurance-cross-selling", "kernel_id": "70597561"}, {"ref": "ldausl/automl-grand-prix-1st-place-solution", "kernel_id": "75350498"}, {"ref": "ldausl/stacking-xgb-lgbm-catb-ann", "kernel_id": "75554754"}, {"ref": "ldausl/ps4e7-optuna-xgboost-klib", "kernel_id": "75554526"}, {"ref": "zhengchuang/bo-xgboost", "kernel_id": "75305817"}, {"ref": "qistinasofeasuhaimi/ds52-updated", "kernel_id": "82697945"}, {"ref": "swas06/insurance-pytorch", "kernel_id": "83458018"}, {"ref": "anirudhpalsingh/binary-classification-prblm", "kernel_id": "84131026"}, {"ref": "abhinavsharma0706/binary-class", "kernel_id": "85485311"}, {"ref": "nkeigo171014/binary-classification-of-insurance-cross-sell-ver1", "kernel_id": "86858620"}, {"ref": "dohwipark/notebook8afc35a219", "kernel_id": "86386805"}, {"ref": "kuronekosteve/notebook75aed0fade", "kernel_id": "86386558"}, {"ref": "c612532005/binary-classification-of-insurance-cross-selling", "kernel_id": "86387011"}, {"ref": "kawagi/notebook5586b455c2", "kernel_id": "86386601"}, {"ref": "kawagi/notebook038f16c607", "kernel_id": "86516157"}, {"ref": "maohaoliang/notebook36a62fcba9", "kernel_id": "87337836"}, {"ref": "thuandao/insurance-cross-selling-eda-ba", "kernel_id": "89395409"}, {"ref": "ouzhanakr/late-submission-ps-s4e7", "kernel_id": "89594894"}, {"ref": "smtnehajain/fer-starter", "kernel_id": "90297311"}, {"ref": "daniilnxy/ml-course-eda-trainin", "kernel_id": "100301074"}, {"ref": "mohammedahmedxx12/insurance-2", "kernel_id": "104451907"}, {"ref": "https1adham/insurance-2", "kernel_id": "104487700"}, {"ref": "mathhack/ps4e7-ml-lightgbm-adaboost-predict-insurance-car", "kernel_id": "105871299"}, {"ref": "nina2025/ps-s4e7-h-blend", "kernel_id": "108952569"}, {"ref": "zqx960151285/binary-classification-of-insurance-cross-selling", "kernel_id": "129642900"}]}
{"competition_id": "73315", "kernels": [{"ref": "mirhyun0508/korean-predict-house-price-step-by-step", "kernel_id": "53848939"}, {"ref": "heojiyoon/house-price-revision-heojiyoon", "kernel_id": "53787166"}, {"ref": "heuisubhyeon/welcome-to-heesub-house", "kernel_id": "53802480"}, {"ref": "leeyongbin/ks-2-house-price-eda-using-plotly", "kernel_id": "53806325"}, {"ref": "kwonhyojeong/hyo-house-price", "kernel_id": "53807000"}, {"ref": "brainary/smarcle-ks-2-ssh", "kernel_id": "53907541"}, {"ref": "gyemoolee/smarcle-2nd-study-gyemoo", "kernel_id": "53782279"}, {"ref": "jeongwanchoi/jeongwan-choi-house-price", "kernel_id": "53705543"}, {"ref": "sangwan123/kswcode", "kernel_id": "53706259"}, {"ref": "shihyunlim/shihyunlim-house-prices", "kernel_id": "53912861"}, {"ref": "jeonghyeonyeop/hyeop-house-price", "kernel_id": "53701865"}, {"ref": "liyeeee/yelim-s-house-price", "kernel_id": "53653314"}, {"ref": "wotjr0318/wotjr0318-house", "kernel_id": "53780557"}, {"ref": "hoparkjh/parkjiho", "kernel_id": "53800554"}, {"ref": "seohyunan/an-seo-hyun-eda", "kernel_id": "53943147"}, {"ref": "oldcast1e/leeheonseong", "kernel_id": "53961398"}, {"ref": "eunkyeol/house-price", "kernel_id": "53816745"}, {"ref": "minsung813/minsung-s-house-price", "kernel_id": "53844614"}, {"ref": "kj0409/house-prices-kj", "kernel_id": "53781714"}, {"ref": "minseonga/minseong-s-house-price", "kernel_id": "53915973"}, {"ref": "yoonie03/yoonjeong-house-price", "kernel_id": "53810110"}, {"ref": "smarcle/taekyung-house-price", "kernel_id": "53664289"}, {"ref": "jiyoii/jiyoung-house-price", "kernel_id": "53925302"}, {"ref": "q4938240/notebook867d8bb700", "kernel_id": "53890579"}, {"ref": "liyeeee/re-yelim-house-pirce", "kernel_id": "54428956"}, {"ref": "gettindrywearsout/shiny0-houseprice", "kernel_id": "54366296"}, {"ref": "jacobrho/yoonjeong-house-price", "kernel_id": "55064507"}]}
{"competition_id": "73325", "kernels": [{"ref": "andremitri/itatudobem", "kernel_id": "53972429"}]}
{"competition_id": "73350", "kernels": []}
{"competition_id": "73363", "kernels": []}
{"competition_id": "73368", "kernels": []}
{"competition_id": "73369", "kernels": []}
{"competition_id": "73372", "kernels": [{"ref": "rabitwhte/pfi-starter-from-nannyml-locally-weighted-pi", "kernel_id": "53788587"}, {"ref": "carlmcbrideellis/utility-script-crps-score", "kernel_id": "53592773"}, {"ref": "carlmcbrideellis/pfi-starter-skforecast-example", "kernel_id": "53700450"}, {"ref": "zeelpatel19310068/randomforestregressor", "kernel_id": "53846782"}, {"ref": "luispatioquiroz/first-submission", "kernel_id": "53900593"}, {"ref": "noorchauhan/eda-feature-engineering", "kernel_id": "53959804"}, {"ref": "ravi20076/temperatureforecast-starter", "kernel_id": "53850969"}, {"ref": "predaddict/pfi-starter-nixtla-statsforecast-tbats", "kernel_id": "53797856"}, {"ref": "samvelkoch/autogluon-ts-experiment-1-6614", "kernel_id": "53819362"}, {"ref": "canerturkmen/pfi-autogluon-timeseries-medium-quality", "kernel_id": "54506792"}, {"ref": "marcusos/pfi-nixtla-lgbm-and-conformal-prediction", "kernel_id": "54589489"}, {"ref": "syerramilli/pfi-catboost-baseline", "kernel_id": "54245804"}, {"ref": "syerramilli/pfi-trying-neuralprophet-for-the-first-time", "kernel_id": "54533106"}, {"ref": "syerramilli/pfi-multi-quantile-neural-network-regression", "kernel_id": "54472425"}, {"ref": "janscastellon/pft-forecasting-temperature-with-statsforecast", "kernel_id": "54306318"}, {"ref": "thomasmeiner/timeseries-eda-model-as-regression", "kernel_id": "54113886"}, {"ref": "jagofc/pfi-optuning-a-lightgbm-skforecast", "kernel_id": "54846796"}, {"ref": "ambrosm/pft-eda-which-makes-sense", "kernel_id": "54009342"}, {"ref": "noorchauhan/xgb-with-randomizedsearch-over-engineered", "kernel_id": "54011293"}, {"ref": "satyaprakashshukl/eda-forecasting-wip", "kernel_id": "54747639"}, {"ref": "ravi20076/temperatureforecast-blender", "kernel_id": "54135928"}, {"ref": "ravi20076/temperatureforecast-automl-v1", "kernel_id": "54207232"}, {"ref": "predaddict/pft-statsmodels-sarimax", "kernel_id": "54140087"}, {"ref": "predaddict/pft-mstl-decomposition-and-forecast", "kernel_id": "54085627"}, {"ref": "khoatran311/lasso-for-quick-best-naive-performance-1-7235", "kernel_id": "54699340"}, {"ref": "mhsn21/probabilistic-forecasting-i-temperature", "kernel_id": "54724214"}, {"ref": "thomasmeiner/auto-arima-meets-conformal-prediction", "kernel_id": "55114397"}, {"ref": "thomasmeiner/auto-arima-meets-conformal-prediction-exogenous", "kernel_id": "55161905"}, {"ref": "thomasmeiner/bluecast-has-conformal-prediction", "kernel_id": "55615730"}, {"ref": "tblume/pfi-starter-nixtla-statsforecast-mfles", "kernel_id": "59741453"}, {"ref": "thomasmeiner/bluecast-with-nested-conformal-prediction", "kernel_id": "61875172"}, {"ref": "antonysamuelb/seasonal", "kernel_id": "62659589"}, {"ref": "antonysamuelb/mstl-catboost-4th-place", "kernel_id": "62660277"}, {"ref": "evandrocardozo/catboost", "kernel_id": "62100613"}, {"ref": "santoshkumarpuvvada/mstl-lr-conformal-2nd-place-in-the-competition", "kernel_id": "62559392"}, {"ref": "d4nilz/1-1-pr-0-46-pub-lgbm-w-conformal-prediction", "kernel_id": "63204852"}, {"ref": "erenkonta/probabilistik-zaman-serisi-ile-s-cakl-k-tahmini", "kernel_id": "68897297"}, {"ref": "stphanedegeye/catboost-cqr-theorem-1", "kernel_id": "130847097"}]}
{"competition_id": "73376", "kernels": []}
{"competition_id": "73402", "kernels": [{"ref": "brooklynmills/project-2-predictive-analytics", "kernel_id": "53733312"}, {"ref": "danielgalili/project-2-predictive-analytics", "kernel_id": "53810051"}, {"ref": "jrkhops/kaggle-project2", "kernel_id": "53903523"}, {"ref": "eastonlarson/kaggle-project-2", "kernel_id": "53887319"}, {"ref": "codyjanderson/concrete-strength", "kernel_id": "53908387"}, {"ref": "deeplyft/gvu-spring-2024-project-2-regression-models", "kernel_id": "54153392"}]}
{"competition_id": "73414", "kernels": [{"ref": "popescuvasilealin244/nitronlp2", "kernel_id": "53600035"}]}
{"competition_id": "73429", "kernels": []}
{"competition_id": "73432", "kernels": [{"ref": "ps6nlb/267600821-analyze-sentiment", "kernel_id": "123570830"}]}
{"competition_id": "73433", "kernels": []}
{"competition_id": "73443", "kernels": []}
{"competition_id": "73450", "kernels": [{"ref": "killa92/pneumonia-data-analysis-and-visualization", "kernel_id": "71657955"}]}
{"competition_id": "73452", "kernels": []}
{"competition_id": "73454", "kernels": []}
{"competition_id": "73455", "kernels": []}
{"competition_id": "73458", "kernels": []}
{"competition_id": "73459", "kernels": []}
{"competition_id": "73460", "kernels": [{"ref": "rayuga2503/nlp-2024-experiment-task4", "kernel_id": "65817649"}]}
{"competition_id": "73475", "kernels": []}
{"competition_id": "73478", "kernels": [{"ref": "sumanth048/wids-2", "kernel_id": "54754243"}, {"ref": "simonagradinaru/wids-24-2-embracing-diversity-robustness", "kernel_id": "54803343"}, {"ref": "npothar/wids-datathon-24-exploration-model-building", "kernel_id": "54759605"}, {"ref": "sborar12/wids-2024-2-columbia-university-datathon", "kernel_id": "54886821"}, {"ref": "thiagomantuani/wids-2024-2-baseline-get-started", "kernel_id": "54358228"}, {"ref": "thantthiri/wids-2024-challenge2-team-it", "kernel_id": "54883931"}, {"ref": "ravi20076/widschallenge2-eda-autogluon", "kernel_id": "54356663"}, {"ref": "ravi20076/widschallenge2-lama", "kernel_id": "54399954"}, {"ref": "visalakshikasi/wids-2024challenge2-data-visualization", "kernel_id": "54392453"}, {"ref": "ulisesmontoyacanales/wids-c2-bl", "kernel_id": "54526341"}, {"ref": "ryanvarghese29/4-13-datathon-wids-2-get-started", "kernel_id": "54597299"}, {"ref": "bertanpank/wids-regression-autogluon", "kernel_id": "54498026"}, {"ref": "arunklenin/wids-datathon-2-metastatic-cancer-diagnosis", "kernel_id": "54361867"}, {"ref": "ddosad/wids-challenge-2-eda-h2o-automl", "kernel_id": "54368418"}, {"ref": "sid4ds/wids-2-02-data-cleaning-feature-engineering", "kernel_id": "54556066"}, {"ref": "sid4ds/wids-2-00-overview-cv-setup", "kernel_id": "54363670"}, {"ref": "giovanabandinelli/wids-datathon-2024-challenge-2-gb", "kernel_id": "55238477"}, {"ref": "farheenshaukat/wid-s-datathon-2", "kernel_id": "55436613"}, {"ref": "simonagradinaru/wids-24-2-handling-inconsistent-data", "kernel_id": "56816220"}, {"ref": "npothar/pre-processing-wids-24-challenge-2", "kernel_id": "56850449"}, {"ref": "adityashakya2454/wid-s-datathon-central-university-of-haryana1", "kernel_id": "56111380"}, {"ref": "sskanyal/wids-ii-24", "kernel_id": "56418470"}, {"ref": "kanikaw/wids-datathon-2024-challenge-2", "kernel_id": "56060808"}, {"ref": "vashutangri/wids-2024-2-columbia-university-datathon", "kernel_id": "56113663"}, {"ref": "sid4ds/wids-2-06-catboost-pseudo-labeling", "kernel_id": "56245030"}, {"ref": "mariasheehan/ensemble-model", "kernel_id": "56542506"}, {"ref": "amalalshehri245/notebook-a", "kernel_id": "56940003"}, {"ref": "lakshmidhanat/wids-24-datathon-challenge-2", "kernel_id": "56067354"}, {"ref": "satyaprakashshukl/neural-network-approach", "kernel_id": "57724440"}, {"ref": "satyaprakashshukl/h20-wids-datathon-2024-challenge", "kernel_id": "57652908"}, {"ref": "rustameyniyev/rustam-code", "kernel_id": "57410996"}, {"ref": "jiyalamba/dynamic-learning-rate-assignment", "kernel_id": "57872063"}, {"ref": "roshanbandara/wids-datathon-2024-challenge-2", "kernel_id": "57532797"}, {"ref": "vasuvemana/dataman-notebook1", "kernel_id": "57369027"}, {"ref": "klefe21bcs222/randomforest2-0", "kernel_id": "57855646"}, {"ref": "klefe21bcs222/xgboost1-0", "kernel_id": "57910646"}, {"ref": "npothar/05-29-24-wids-featureselection", "kernel_id": "58486907"}, {"ref": "npothar/05-31-wids-featureselection-continued", "kernel_id": "58605247"}, {"ref": "annibamwenda/anni-widsdatathon02", "kernel_id": "58682095"}, {"ref": "ravi20076/wids2024challenge2-blender", "kernel_id": "58313637"}, {"ref": "kirthiseshadri/wibd-stl-cardinals-code-challenge2", "kernel_id": "58487120"}, {"ref": "ahmedalghali/5-features-only-50th-knn-imputing", "kernel_id": "58684755"}, {"ref": "asharanipatil/wids-challenge-2", "kernel_id": "58566338"}, {"ref": "aminaj/wids-datathon-2024-challenge-2", "kernel_id": "58707933"}, {"ref": "anshsavadatti/gridsearch", "kernel_id": "58307558"}, {"ref": "mmulay/wids-attempt", "kernel_id": "58496013"}, {"ref": "nhaann/notebook", "kernel_id": "58598505"}, {"ref": "someshwarj2002/automl", "kernel_id": "58347127"}, {"ref": "iuliiapersidskaia/wids-24-challenge-2-eda-ml", "kernel_id": "58382836"}, {"ref": "mustafashoukat/wids-24-challenge-2-traning-error-75-6383", "kernel_id": "58397691"}, {"ref": "mustafashoukat/wids-24-2-exploring-equity-in-healthcare", "kernel_id": "58034346"}, {"ref": "andrei0002/wids24-2-umf-iasi-university", "kernel_id": "58683700"}, {"ref": "mikhaylovamaria/wids-2024-2-health-equity-team-poisson-regression", "kernel_id": "58402708"}, {"ref": "iremcorumaktas/wids-datathon-challenge-2-first-model", "kernel_id": "58465208"}, {"ref": "soujanyamenasagi/notebookda3e6a5589", "kernel_id": "58662615"}, {"ref": "soujanyamenasagi/code-wizards1", "kernel_id": "58179677"}, {"ref": "sumitsharmawf/widsdatathon2", "kernel_id": "58660476"}, {"ref": "anujshah0722/wids-24-2-automl-with-pycaret", "kernel_id": "58522360"}, {"ref": "olgaskv/wids-2024-2-h2o-model", "kernel_id": "59406684"}, {"ref": "olgaskv/wids-2024-1-2-dataset-combined", "kernel_id": "59473044"}, {"ref": "predator4hack/wids-datathon-challenge-2-final-notebook", "kernel_id": "59568046"}, {"ref": "ogwalakello/wids-feature-importance", "kernel_id": "59222458"}, {"ref": "ogwalakello/wids-datathon-2024-1st-place-solution", "kernel_id": "59216552"}, {"ref": "wennie526/wids-datathon-2024-challenge-2", "kernel_id": "60810880"}, {"ref": "aminawasiq/eda-wids-2024-challenge-2", "kernel_id": "60864016"}, {"ref": "nicholasdominic/equity-in-healthcare-case-study", "kernel_id": "66857178"}, {"ref": "enisezengin/wids-24c-2-metastaticdiagnosisregression-80-154", "kernel_id": "69161693"}]}
{"competition_id": "73479", "kernels": [{"ref": "lucasnastariziza/pytorch-cnn-loss-0-1332", "kernel_id": "54379453"}, {"ref": "jacksonpassey/jackson-s-code", "kernel_id": "54986618"}, {"ref": "collinmcgregor/data-visualization", "kernel_id": "54002742"}, {"ref": "collinmcgregor/starter-pytorch-cnn", "kernel_id": "54008763"}, {"ref": "csthompsos/2nd-place-notebook-connor-thompson", "kernel_id": "55001005"}]}
{"competition_id": "73497", "kernels": []}
{"competition_id": "73507", "kernels": []}
{"competition_id": "73525", "kernels": []}
{"competition_id": "73528", "kernels": []}
{"competition_id": "73530", "kernels": []}
{"competition_id": "73539", "kernels": []}
{"competition_id": "74554", "kernels": []}
{"competition_id": "74571", "kernels": [{"ref": "agileteam/baseline-rf-0-82194", "kernel_id": "53842100"}, {"ref": "bangseunguk/codeshare", "kernel_id": "60277515"}, {"ref": "hanryang/aiffel-ds2-credit-card-fraud-detection-ahyoung", "kernel_id": "61007144"}, {"ref": "kiwisouce/chanyoung", "kernel_id": "61007484"}, {"ref": "baesseong/classification-fraud-baeseongwoo", "kernel_id": "61004320"}, {"ref": "mseoulum/240627", "kernel_id": "61041135"}, {"ref": "kestrelkaggle/240627-quest-credit-card-fraud-detection", "kernel_id": "61006844"}, {"ref": "veroniquecho/notebook6b2704e58a", "kernel_id": "61006862"}, {"ref": "tree698/chanwoo-aiffel-fraud", "kernel_id": "61007960"}, {"ref": "taehunkoo/taehun-koo", "kernel_id": "61007719"}, {"ref": "hardok00/2024-06-27-main-q", "kernel_id": "61007189"}, {"ref": "sieunkim03/codeshare-sieun", "kernel_id": "61032162"}, {"ref": "namtaewook/0627mainq", "kernel_id": "61007071"}]}
{"competition_id": "74580", "kernels": [{"ref": "jordankj/bbbp-prediction-202221099", "kernel_id": "59438292"}, {"ref": "moosam/bbbp-prediction202121605", "kernel_id": "60426713"}, {"ref": "anhuisu/bbbp-prediction-202121638", "kernel_id": "60313057"}]}
{"competition_id": "74585", "kernels": [{"ref": "mmelgizin/yandexstudcampml-2024-ml-model", "kernel_id": "54090588"}, {"ref": "mmelgizin/yandexstudcampml-2024-data-preparation-v2", "kernel_id": "54120998"}, {"ref": "mmelgizin/yandexstudcampml-2024-catboost-model", "kernel_id": "54308295"}]}
{"competition_id": "74592", "kernels": [{"ref": "bobiboba/2024-template-with-cb-implementation-pycon-study", "kernel_id": "54721894"}]}
{"competition_id": "74608", "kernels": [{"ref": "alexliu99/neurips-2025-open-polymer-challenge-tutorial", "kernel_id": "84978842"}, {"ref": "dalloliogm/smiles-rdkit-autogluon-ftw", "kernel_id": "85344550"}, {"ref": "hemant0591/rf-maccs-feats", "kernel_id": "85503811"}, {"ref": "hemant0591/chemberta", "kernel_id": "85728546"}, {"ref": "mariasokolova/polymer-properties-prediction", "kernel_id": "85260195"}, {"ref": "mtinti/download-molformer", "kernel_id": "85569528"}, {"ref": "mtinti/neurips-make-t-sne", "kernel_id": "85804754"}, {"ref": "senkin13/baseline-rdkit-descriptors-features", "kernel_id": "85237538"}, {"ref": "hisaylama/neurips-polymer-challenge", "kernel_id": "85899128"}, {"ref": "ianchute/polymer-baseline-svm", "kernel_id": "85402091"}, {"ref": "docxian/neurips-polymer-prediction", "kernel_id": "85257200"}, {"ref": "sayedathar11/smiles-rdkit-lgbm-ftw-group-cv", "kernel_id": "85595024"}, {"ref": "tpmeli/40-chem-feature-correlations-with-targets", "kernel_id": "85377124"}, {"ref": "stpeteishii/neurips-targets-chemberta-w-kfold", "kernel_id": "85771821"}, {"ref": "stpeteishii/neurips-targets-chemberta", "kernel_id": "85603104"}, {"ref": "stpeteishii/neurips-targets-roberta", "kernel_id": "85584965"}, {"ref": "lemmingy/neurips-polymer-v025-chemberta", "kernel_id": "85714560"}, {"ref": "lemmingy/chemberta-embeddings-extraction", "kernel_id": "85716959"}, {"ref": "lemmingy/neurips-polymer-v025-chemberta-stage2", "kernel_id": "85726156"}, {"ref": "lemmingy/neurips-polymer-v023-multi-fingerprint", "kernel_id": "85662578"}, {"ref": "lemmingy/neurips-polymer-v024-wmae-optimized", "kernel_id": "85703636"}, {"ref": "ksetdekov/chembert-model-baseline", "kernel_id": "85419273"}, {"ref": "ahsuna123/chembert2a-embeddings-molecular-descriptors", "kernel_id": "85256337"}, {"ref": "ahsuna123/polymer-smiles-analysis-eda", "kernel_id": "85228686"}, {"ref": "mpwolke/eco-friendly-biopolymers", "kernel_id": "85233190"}, {"ref": "tasmim/neurips25-comprehensive-eda-and-baseline-mod-ipynb", "kernel_id": "85632417"}, {"ref": "tasmim/transformer-descriptor-multitask-inference", "kernel_id": "85675837"}, {"ref": "dedquoc/neurips-opp-2025-with-lightgbm", "kernel_id": "85258756"}, {"ref": "gyozzza/opp2025-ecfp-lightgbm", "kernel_id": "85284659"}, {"ref": "gabrielvinicius/neural-ips-ead-rdkit-baseline", "kernel_id": "85280716"}, {"ref": "yeonseokcho/polymer-prediction-qspr-svm", "kernel_id": "85268776"}, {"ref": "mnewhauser/polymerzzz-tabpfn", "kernel_id": "85409688"}, {"ref": "negoto/neurips-multiple-linear-regression-baseline", "kernel_id": "85409850"}, {"ref": "negoto/neurips-how-can-we-get-features-graphs-images", "kernel_id": "85244688"}, {"ref": "fernandosr85/polymer-property-prediction", "kernel_id": "85618964"}, {"ref": "digantabhattacharya/neurips25-opp-rdkit-xgb-baseline-model", "kernel_id": "85235830"}, {"ref": "digantabhattacharya/neurips25-opp-rdkit-lgbm-baseline-model", "kernel_id": "85580323"}, {"ref": "mos3santos/neurips-third-solve", "kernel_id": "85509976"}, {"ref": "kowshikdebnath/open-polymer-prediction-2025", "kernel_id": "85615954"}, {"ref": "kowshikdebnath/baseline-lgbm-rdkit-public-score-0-071", "kernel_id": "85434773"}, {"ref": "dmitryuarov/rdkit-2025-3-3", "kernel_id": "85232929"}, {"ref": "alrjandrorivasespa/molecular-graphs-from-smiles", "kernel_id": "85251850"}, {"ref": "suyashsachdeva/neuralips", "kernel_id": "85662491"}, {"ref": "yusaku5739/calculating-9-different-fingerprints", "kernel_id": "85611439"}, {"ref": "yusaku5739/smilesenumerator-augmentation-for-smiles", "kernel_id": "85655277"}, {"ref": "kakuteki/lightgbm-open-polymer-prediction", "kernel_id": "85241872"}, {"ref": "kakuteki/gnn-rdkit-polymer-competition", "kernel_id": "85540494"}, {"ref": "kakuteki/catboost-polymer-competition", "kernel_id": "85515949"}, {"ref": "kakuteki/randomforest-polymer-competition", "kernel_id": "85516117"}, {"ref": "kakuteki/tabnet-polymer-competition", "kernel_id": "85516328"}, {"ref": "kakuteki/nn-polymer-competition", "kernel_id": "85516501"}, {"ref": "ravi20076/opp2025-public-imports-v1", "kernel_id": "85268306"}, {"ref": "ravi20076/opp2025-public-baseline-v1", "kernel_id": "85270510"}, {"ref": "ravi20076/opp2025-public-baseline-v2", "kernel_id": "85493490"}, {"ref": "alekseytrepetsky/train-polymer", "kernel_id": "85263096"}, {"ref": "jonathasarruda/gnn-polymer-predictor", "kernel_id": "85760160"}, {"ref": "nimaazbijar/very-basic-usage-of-psmiles", "kernel_id": "85235183"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v3", "kernel_id": "85653541"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v2", "kernel_id": "85653343"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v4", "kernel_id": "85655018"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v4-dataset", "kernel_id": "85655103"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v5-rdkit", "kernel_id": "85656595"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v6", "kernel_id": "85656865"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble", "kernel_id": "85649448"}, {"ref": "tgwstr/polymer-prediction-baseline", "kernel_id": "85703409"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v6-fixed-dataset", "kernel_id": "85703717"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v7-fixed", "kernel_id": "85703556"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v6-restored", "kernel_id": "85703634"}, {"ref": "esraaalsaeede/neurips-eda", "kernel_id": "85232310"}, {"ref": "lordpatil/the-polymer-alchemist", "kernel_id": "85599327"}, {"ref": "schwalbe10/neurips-polymer-smiles-bert-inference-v2", "kernel_id": "85538951"}, {"ref": "schwalbe10/neurips-polymer-smiles-bert-training-fixed", "kernel_id": "85535868"}, {"ref": "schwalbe10/neurips-polymer-smiles-bert-training", "kernel_id": "85472284"}, {"ref": "rahulpatil5908/polymer-property-prediction-with-xgboost", "kernel_id": "85258864"}, {"ref": "estiakruddro/neurips-predicting-polymer-properties", "kernel_id": "85252783"}, {"ref": "srinivasta/neurips-open-polymer-prediction-2025", "kernel_id": "85249244"}, {"ref": "akihiroorita/smiles-enumeration-lb-0-074", "kernel_id": "85562667"}, {"ref": "akihiroorita/baseline-for-japanese-lb-0-072", "kernel_id": "85550333"}, {"ref": "indranilch2014/neuralps-submit-notebook1", "kernel_id": "85971962"}, {"ref": "abhinavsharma0706/neur-plus", "kernel_id": "85343395"}, {"ref": "michalinahulak/neurips", "kernel_id": "85264419"}, {"ref": "horikitasaku/polymer-bert-train", "kernel_id": "85354582"}, {"ref": "horikitasaku/3d-molecule-visualization", "kernel_id": "85446939"}, {"ref": "horikitasaku/tree-baseline", "kernel_id": "85246767"}, {"ref": "defdet/polymer-bert-inference", "kernel_id": "85346289"}, {"ref": "defdet/polymer-bert-train", "kernel_id": "85263174"}, {"ref": "enricomanosperti/neurips-open-polymer-prediction-2025", "kernel_id": "85623970"}, {"ref": "richolson/smiles-rdkit-lgbm-ftw", "kernel_id": "85246290"}, {"ref": "vinodkumargurjar/polymer-prediction-rdkit-guide", "kernel_id": "85726799"}, {"ref": "rahuljaisy/neurips-25-gradient-boost-implementation-baseline", "kernel_id": "85412950"}, {"ref": "rahuljaisy/scientific-eda-structure-property-visualization", "kernel_id": "85396854"}, {"ref": "soyabulislamlincoln/polymer-dataset-check", "kernel_id": "85712632"}, {"ref": "thasinupoma/predicting-polymer-properties-with-smiles-pytorch", "kernel_id": "85351938"}, {"ref": "thasinupoma/neural-network-ml-for-polymer-property-prediction", "kernel_id": "85683673"}, {"ref": "abdurahmanayesha/smiles-consmiles-rdkit-mfp", "kernel_id": "85565257"}, {"ref": "devilnreality/neurips-solution-karthikeyan-v", "kernel_id": "85837478"}, {"ref": "adsefef/rdkit-lightgbm", "kernel_id": "85305882"}, {"ref": "jaketanderson/polymer-prediction", "kernel_id": "85758076"}, {"ref": "christophermoverton/smiles-transformer-with-tpu-for-neuripchallenge", "kernel_id": "85641532"}, {"ref": "christophermoverton/bilstm-attention-for-neurips-opp-2025", "kernel_id": "85232761"}, {"ref": "antonoof/silver-medal", "kernel_id": "85227330"}, {"ref": "andreasbis/neurips-opp2025-gbdt-starter", "kernel_id": "85229965"}, {"ref": "aryamanvaishya/neurips-opp2025-eda-baseline", "kernel_id": "85225996"}, {"ref": "harshgupta4444/basic-polymer-property-prediction-rdkit-lightgbm-1", "kernel_id": "85253947"}, {"ref": "koushikkumardinda/neurips-open-polymer-prediction-2025", "kernel_id": "85492048"}, {"ref": "austinnicholas/xgboost-random-forest-submission", "kernel_id": "85786441"}, {"ref": "keyushnisar/openpolymerpred", "kernel_id": "85424095"}, {"ref": "qifeihhh666/xgb-polyer-predict", "kernel_id": "85268238"}, {"ref": "michaelrowen/opp2025-chemberta-pre-trained-base", "kernel_id": "85399029"}, {"ref": "rudraprasadbhuyan/neruips-p2-smiles-featuratization", "kernel_id": "85917853"}, {"ref": "rudraprasadbhuyan/neruips-p1v1-eda-setup", "kernel_id": "85788157"}, {"ref": "rolaislait/mybest", "kernel_id": "85228280"}, {"ref": "samasiayushman/complete-statistics-domain-knowledge", "kernel_id": "85766759"}, {"ref": "samasiayushman/complete-visualization-guide", "kernel_id": "85735999"}, {"ref": "chikonzeroselemani/neurips-rdkit-starterguide", "kernel_id": "85577619"}, {"ref": "alexchilton/combimodel-0-057-score", "kernel_id": "85726099"}, {"ref": "caojie639/xgboost-5-groups-of-params-rdkit", "kernel_id": "85488743"}, {"ref": "caojie639/xgboost-how-to-search-manually-feature-filtering", "kernel_id": "85602555"}, {"ref": "caojie639/manually-search-for-xgb-hyperparameters-for-ffv", "kernel_id": "85950406"}, {"ref": "aknithin/neurips-open-polymer-prediction", "kernel_id": "85787170"}, {"ref": "nikitamanaenkov/polymer-prediction-rdkit-multicatboost", "kernel_id": "85385703"}, {"ref": "deepakshi211/chemical", "kernel_id": "85657317"}, {"ref": "ruhul20/neurips-rdkit-lightgbm", "kernel_id": "85375620"}, {"ref": "nieniejava/lightgbm-xgboost", "kernel_id": "85321615"}, {"ref": "javierrodrguez97/rdkit-neurips-javier", "kernel_id": "85491278"}, {"ref": "praneethbulusu/submission", "kernel_id": "85488407"}, {"ref": "sadikalsami/neurips-sadik", "kernel_id": "85963723"}, {"ref": "cansuevik/open-polymer-prediction", "kernel_id": "85450196"}, {"ref": "thevixhal/vishal", "kernel_id": "85391312"}, {"ref": "aman2626786/neurips-open-polymer-prediction-2025", "kernel_id": "85407895"}, {"ref": "aman2626786/pandas-series-day13-part-4-special-functions", "kernel_id": "85592964"}, {"ref": "tiyatiwari/polymer-property-prediction-v1", "kernel_id": "85253278"}, {"ref": "ilialebedev/smiles-lgbm-mordred-importance", "kernel_id": "85786347"}, {"ref": "muditkhater18/polymer", "kernel_id": "85553250"}, {"ref": "kyraku/polymer-prediction-lightgm-catboost-randomforest", "kernel_id": "85721739"}, {"ref": "kyraku/polymer-prediction", "kernel_id": "85361512"}, {"ref": "kyraku/biopolymer-prediction", "kernel_id": "85344639"}, {"ref": "kyraku/polymer-property-prediction", "kernel_id": "85274825"}, {"ref": "sourabhchindage/notebook31ae71ef86", "kernel_id": "85484797"}, {"ref": "harukariku/pred-with-xgb-simple-offline", "kernel_id": "85427164"}, {"ref": "vxjx7190/neurips-2025-open-polymer-challenge-the-voyager", "kernel_id": "85506778"}, {"ref": "ramenmahapatra/neurips-open-polymer-prediction-2025", "kernel_id": "85292137"}, {"ref": "nksusth/use-metrics-extra-data", "kernel_id": "85552757"}, {"ref": "itzimranyt/notebookcb2c0ccb73", "kernel_id": "85577917"}, {"ref": "choudharymanas/openpolymer-simpletokenizing", "kernel_id": "85743910"}, {"ref": "nihaoma555/polymer-prediction-notebook1", "kernel_id": "85251376"}, {"ref": "satyamgarade/submission-csv", "kernel_id": "85366930"}, {"ref": "nivaasrao/polymer-properties-from-smiles-using-xgboost", "kernel_id": "85362495"}, {"ref": "alejandrolopezrincon/nn-with-different-fingerprints", "kernel_id": "85996112"}, {"ref": "abdulrahmanqaten/neurips-opp-third-solve", "kernel_id": "85434938"}, {"ref": "abdulrahmanqaten/neurips-second-solve", "kernel_id": "85370257"}, {"ref": "abdulrahmanqaten/neurips-gnns-solve-deep-learning", "kernel_id": "85539734"}, {"ref": "abdulrahmanqaten/neurips-first-solve", "kernel_id": "85276166"}, {"ref": "vishnu0423/submission-csv", "kernel_id": "85369704"}, {"ref": "zipy42/neurips-test0623", "kernel_id": "85573752"}, {"ref": "vanessaguerrier/neurips-vanessa-version", "kernel_id": "85514196"}, {"ref": "yoricc/maker", "kernel_id": "85799996"}, {"ref": "yoricc/notebookfa8527818b", "kernel_id": "85805357"}, {"ref": "raghvendrakul/neurips-et-tg-extra-data-polybert", "kernel_id": "86983414"}, {"ref": "hengck23/polygnn-demo", "kernel_id": "86923873"}, {"ref": "carlosdutra/open-polymer-submission-1751905242", "kernel_id": "86561138"}, {"ref": "mtinti/neurips-autogluon-predict2", "kernel_id": "86202089"}, {"ref": "mtinti/neurips-tg-borutashap", "kernel_id": "86041921"}, {"ref": "mtinti/newborutshapgpu-ffv", "kernel_id": "86712139"}, {"ref": "mtinti/newborutshapgpu-tg", "kernel_id": "86701616"}, {"ref": "mtinti/newborutshapgpu-rg", "kernel_id": "86724760"}, {"ref": "mtinti/newborutshapgpu-tc", "kernel_id": "86724809"}, {"ref": "mtinti/betty-package", "kernel_id": "86637719"}, {"ref": "mtinti/scikit-chem-package", "kernel_id": "86637455"}, {"ref": "mtinti/neurips-preparedataset-predict", "kernel_id": "86624864"}, {"ref": "ogurtsov/molfeat-the-most-convenient-way-to-featurize", "kernel_id": "86353773"}, {"ref": "davidhguerrero/draw-a-vector-of-polymer-structure", "kernel_id": "86043078"}, {"ref": "srg9000/catboost-rdkit-multi-models-ee76b1", "kernel_id": "86723572"}, {"ref": "fpeccia/pysimm-based-tc-calculation", "kernel_id": "86338114"}, {"ref": "fpeccia/pysimm-lammps-notebook-setup-no-internet", "kernel_id": "86385300"}, {"ref": "fpeccia/similarity-based-submission", "kernel_id": "86035386"}, {"ref": "kuntalpal/eda-baseline-neurips-open-polymer-prediction", "kernel_id": "86014726"}, {"ref": "xaviertce/multitarget-fttransformer-masking-wmae-lb-0-041", "kernel_id": "86978790"}, {"ref": "xjoannax88/polymer-dataset-just-eda", "kernel_id": "86079154"}, {"ref": "hechtjp/neurips2025-0601-gnn-adddata-train", "kernel_id": "86912164"}, {"ref": "hechtjp/neurips2025-0604-gnn-adddata-tc-train", "kernel_id": "86918371"}, {"ref": "hechtjp/neurips2025-0603-gnn-adddata-rg-train", "kernel_id": "86916447"}, {"ref": "theocochran/optimized-xgboost-pipeline-4-polymer-prediction", "kernel_id": "86464215"}, {"ref": "dmitryuarov/neurips-baseline-external-data", "kernel_id": "86131333"}, {"ref": "samithsachidanandan/neurips-rdkit-multi-models-lb-0-033", "kernel_id": "86603206"}, {"ref": "frankwanger/utility-install-deepchem-and-rdkit-w-o-internet", "kernel_id": "86400472"}, {"ref": "konstantinboyko/opp-2025-04-03", "kernel_id": "86700091"}, {"ref": "seowoohyeon/neurips-lgbm-xgb-feature", "kernel_id": "86500467"}, {"ref": "seowoohyeon/imputation-smiles", "kernel_id": "86819747"}, {"ref": "seowoohyeon/neurips-all-eda-atoz", "kernel_id": "86773164"}, {"ref": "matikmate/notebook1c18843e75", "kernel_id": "86337957"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v8", "kernel_id": "86521393"}, {"ref": "tgwstr/neurips-polymer-advanced-ensemble-v7", "kernel_id": "86521028"}, {"ref": "omidbaghchehsaraei/neurips-tabtransformer-lb-0-039", "kernel_id": "86456805"}, {"ref": "imnaho/build-a-model-using-lgbm", "kernel_id": "86921176"}, {"ref": "dhamur/neurlps-rnn-based", "kernel_id": "86064101"}, {"ref": "monkeflip/massive-speedup-for-smiles-descriptors", "kernel_id": "86092592"}, {"ref": "pengyuyan13209/neurips-ex", "kernel_id": "86404399"}, {"ref": "aryansinha2003/intro-rdkit-lgbm-10-external-features", "kernel_id": "86267203"}, {"ref": "arashkaroudi/neurips-cnn-lstm", "kernel_id": "86315628"}, {"ref": "akihiroorita/neurips-autogluon-lb-0-046", "kernel_id": "86467315"}, {"ref": "akihiroorita/neurips-autogluon-lb-0-041", "kernel_id": "86444889"}, {"ref": "akihiroorita/mordred-catboost-lb-0-048", "kernel_id": "86066625"}, {"ref": "akihiroorita/compare-multi-models-with-cv-neurips-lb-0-038", "kernel_id": "86928752"}, {"ref": "akihiroorita/rdkit-w-polybert-extra-neurips-lb-0-039", "kernel_id": "86980609"}, {"ref": "akihiroorita/catboost-rdkit-lb-0-035", "kernel_id": "86638630"}, {"ref": "akihiroorita/optuna-catboost-rdkit", "kernel_id": "86716095"}, {"ref": "khabeerabidalameer/notebook46d5fce6c9", "kernel_id": "86111177"}, {"ref": "defdet/chemberta-continious-pre-training", "kernel_id": "86139064"}, {"ref": "eikyou/neurips-vietoris-rips-tg-only-example", "kernel_id": "86351558"}, {"ref": "adamlogman/neurips-just-extertrees", "kernel_id": "86733613"}, {"ref": "adamlogman/neurips-rdkit-multi-models", "kernel_id": "86492836"}, {"ref": "adamlogman/baseline-for-beginners", "kernel_id": "86031424"}, {"ref": "bellanideni/neurips-open-polymer-prediction-2025", "kernel_id": "86012407"}, {"ref": "cchrisaa/notebooka55700er11", "kernel_id": "86528291"}, {"ref": "therohithanand/xgb-multipleregression", "kernel_id": "86697400"}, {"ref": "joelethanbatac/tf-idf-as-features-on-smiles", "kernel_id": "86616136"}, {"ref": "andreasbis/neurips-opp2025-download-libraries", "kernel_id": "86337216"}, {"ref": "andreasbis/neurips-opp2025-a-chemberta-t", "kernel_id": "86337326"}, {"ref": "andreasbis/neurips-opp2025-a-fastsmiles-t", "kernel_id": "86394519"}, {"ref": "andreasbis/neurips-opp2025-a-ensemble-0-068-lb", "kernel_id": "86648088"}, {"ref": "redpanda789/polymer-notebook", "kernel_id": "86030184"}, {"ref": "faroukz/neural-ips-ead-rdkit-baseline", "kernel_id": "86028249"}, {"ref": "michaelrowen/opp2025-hierarchical-attention-fe", "kernel_id": "86921337"}, {"ref": "rudraprasadbhuyan/neruips-p3-baseline-modeling", "kernel_id": "86072516"}, {"ref": "dagimhailegebrel/new-version", "kernel_id": "86524452"}, {"ref": "sonuwuu/open-polymer", "kernel_id": "86387785"}, {"ref": "swandipsingha/neurips-eda-that-you-need", "kernel_id": "86425478"}, {"ref": "sabra15/neurips-catboost-rdkit", "kernel_id": "86914182"}, {"ref": "manasi197/polymer-property-prediction-lstm-randomforest-gnn", "kernel_id": "86876418"}, {"ref": "bahaaltanreisolu/roberta-polymer-forecasting", "kernel_id": "86021239"}, {"ref": "gauripatil2299/notebook4db231a293", "kernel_id": "86991879"}, {"ref": "dnlkrl/pytorch-gcn-1", "kernel_id": "86827712"}, {"ref": "richardjana/xgb-optuna-study", "kernel_id": "86113246"}, {"ref": "flowkite/selfies-jakal", "kernel_id": "86103306"}, {"ref": "saigouravsahoo/neurips", "kernel_id": "86150662"}, {"ref": "kospintr/neurips-rdkit-xgb-rfr-ada-gbr-ensembles", "kernel_id": "86717919"}, {"ref": "raunakshrestha007/neurips-deeznotes", "kernel_id": "86145789"}, {"ref": "raunakshrestha007/notebook451746447c", "kernel_id": "86145392"}, {"ref": "khai42/eda-on-smiles", "kernel_id": "86342669"}, {"ref": "khai42/polymer-visualization", "kernel_id": "86271946"}, {"ref": "kirishanthi/open-polymer-prediction", "kernel_id": "86694525"}, {"ref": "alexa2004/first-competition", "kernel_id": "86572077"}, {"ref": "sebastianlechner/smiles-rdkit-lgbm-ftw", "kernel_id": "86086867"}, {"ref": "choudharymanas/imputing-via-feature-correlations", "kernel_id": "86273705"}, {"ref": "choudharymanas/openpolymer-featurecreation-imputing-boostedtrees", "kernel_id": "86268005"}, {"ref": "choudharymanas/openpolymer-featurecreation-boostedtrees", "kernel_id": "86082303"}, {"ref": "rocedg/initial-visualisations", "kernel_id": "86309189"}, {"ref": "alejandrolopezrincon/extra-data-with-fs-starting-point", "kernel_id": "86561858"}, {"ref": "mvnishh/ppm-deeznotes-random-forest", "kernel_id": "86134902"}, {"ref": "advaitgore/neurips", "kernel_id": "86429714"}, {"ref": "neebe063/smiles-rdkit-lgbm-ftw", "kernel_id": "86084641"}, {"ref": "maianhxinhnhat/new-pipeline", "kernel_id": "86327281"}, {"ref": "hengck23/install-all-notebook", "kernel_id": "87449816"}, {"ref": "hengck23/offline-pip-intsall-demo", "kernel_id": "87450553"}, {"ref": "hengck23/from-0-65-to-0-35-mordred-baseline", "kernel_id": "87483859"}, {"ref": "hengck23/extend-public-extratrees-to-ensmble", "kernel_id": "87025093"}, {"ref": "hengck23/rdkit-ipc-issue", "kernel_id": "87015660"}, {"ref": "hengck23/ibm-selfies-ted-demo", "kernel_id": "87097259"}, {"ref": "mtinti/rapids-smiles-make-embs", "kernel_id": "87355876"}, {"ref": "mtinti/download-chemeleon", "kernel_id": "87358308"}, {"ref": "mtinti/backbone-sidechain-features", "kernel_id": "87119914"}, {"ref": "mtinti/rapids-smiles", "kernel_id": "87199794"}, {"ref": "yerne39/exploratory-data-analysis-basic", "kernel_id": "87706899"}, {"ref": "yerne39/llm-prompting-with-hybrid-contextual-filter", "kernel_id": "87842658"}, {"ref": "yerne39/rdkit-xgboost", "kernel_id": "87531162"}, {"ref": "johncjwood/open-polymer-prediction-2025-07-25-public", "kernel_id": "87864700"}, {"ref": "gunesevitan/neurips-open-polymer-prediction-2025-submission", "kernel_id": "87777623"}, {"ref": "akshat0007/graphformer-for-polymer-property-prediction", "kernel_id": "87460564"}, {"ref": "xaviertce/enhancefttransformer-lb-0-033", "kernel_id": "87022667"}, {"ref": "noureddinebelmokhtar/predicting-polymer-properties-proprietary-model", "kernel_id": "87852170"}, {"ref": "hechtjp/neurips2025-lb-0-068-best-note-with-gnn", "kernel_id": "87500601"}, {"ref": "zhukovoleksiy/neurips-preprocessing-hypertuning-pipeline", "kernel_id": "87805772"}, {"ref": "oleggromov/random-kaggle", "kernel_id": "87942716"}, {"ref": "alrjandrorivasespa/generating-new-polymers-selfie-vae", "kernel_id": "87225687"}, {"ref": "nakanishiwataru/lb0-066-gnn-bert-hvec-concat-nn", "kernel_id": "87036713"}, {"ref": "alekseytrepetsky/median-after-update", "kernel_id": "87937346"}, {"ref": "alekseytrepetsky/root-mean-square-after-update", "kernel_id": "87936150"}, {"ref": "alexliu99/scoring-with-rdkit-2023-09-6", "kernel_id": "87813751"}, {"ref": "dhamur/neuralps-cnn-based", "kernel_id": "87193731"}, {"ref": "akihiroorita/rdkit-w-matbert-cat-gradient-neurips-lb-0-041", "kernel_id": "87475615"}, {"ref": "pradyumnaakubear/pradathecontributerhelperprada", "kernel_id": "87982920"}, {"ref": "adamlogman/neurips-xgb-trees", "kernel_id": "87307063"}, {"ref": "adamlogman/neurips-ensemble-xgb-extratrees", "kernel_id": "87409117"}, {"ref": "leejeongmin0823/open-polymer-baseline", "kernel_id": "87186439"}, {"ref": "shivanshhingve/polymer-property-prediction", "kernel_id": "87777813"}, {"ref": "manadipsutradhar/polumer-prediction-02025-4-2-1", "kernel_id": "87540996"}, {"ref": "anjalisingh065/neuralips-v2", "kernel_id": "87504845"}, {"ref": "davidmansor/polymerssmiles-using-xgboost", "kernel_id": "87786657"}, {"ref": "roxhap/copinggg", "kernel_id": "87268395"}, {"ref": "roxhap/increasing", "kernel_id": "87843004"}, {"ref": "ngoque22/neurips-gaussian-process-regression", "kernel_id": "87924689"}, {"ref": "abhayttttttt/open-polymer-pred-2025", "kernel_id": "87344574"}, {"ref": "yutongzhang20080108/ensemble-of-extratree-with-different-seeds", "kernel_id": "87113360"}, {"ref": "lakieungocthang/setup", "kernel_id": "87309738"}, {"ref": "maximilianscheinast/poltramba-v1-0-a-deepstate", "kernel_id": "87606078"}, {"ref": "fuliuqin/fuliuqin-model", "kernel_id": "87036135"}, {"ref": "filas1212/silas-rickards-neurlps", "kernel_id": "87395443"}, {"ref": "vandanapathania/neurips-open-polymer-prediction-2025", "kernel_id": "87084009"}, {"ref": "cosmicxcalibur/polymer-3", "kernel_id": "87796473"}, {"ref": "arandomhobbyist/neurips-submission", "kernel_id": "87381544"}, {"ref": "arandomhobbyist/a-proposed-pipeline-for-the-neurips-challenge", "kernel_id": "87918650"}, {"ref": "anukultiwari/polymer8", "kernel_id": "87433988"}, {"ref": "fresnellll/lgbm-xgb-feature-with-bert", "kernel_id": "87505435"}, {"ref": "riteshkumbhare11/0-032-lb-score", "kernel_id": "87426514"}, {"ref": "kaziaishikuzzaman/baseline-rdkit-descriptors-features", "kernel_id": "87874339"}, {"ref": "mvnishh/deeznotes-rdkit-data-preprocessing", "kernel_id": "87776863"}, {"ref": "khnhnguyntrnhong/test-2-for-polymer", "kernel_id": "87460637"}, {"ref": "jiechengzhao/neurips-xgb-trees-baseline-v2", "kernel_id": "88186152"}, {"ref": "jiechengzhao/neurips-xgb-trees-baseline", "kernel_id": "88130772"}, {"ref": "hengck23/probe-test-dataset-tanimoto-smiliarity", "kernel_id": "88186539"}, {"ref": "hengck23/lammps-for-dummies", "kernel_id": "88163511"}, {"ref": "mtinti/base-line-polymers-e4-10", "kernel_id": "88736082"}, {"ref": "mtinti/base-e4-10-tg-seed-1976", "kernel_id": "88910691"}, {"ref": "mtinti/base-e4-10-density-seed-1976", "kernel_id": "88910805"}, {"ref": "mtinti/base-e4-10-ffv", "kernel_id": "88872622"}, {"ref": "mtinti/base-e4-10-rg", "kernel_id": "88872727"}, {"ref": "mtinti/base-e4-10-tc", "kernel_id": "88872769"}, {"ref": "mtinti/base-e4-10-tg", "kernel_id": "88785036"}, {"ref": "pib73nl/neurips-opp2025-additional-data", "kernel_id": "88134962"}, {"ref": "tasmim/lb-0-199-neurips-lgbm-cat", "kernel_id": "88167655"}, {"ref": "tasmim/neurips-add-new-data-fill-missing-target-value", "kernel_id": "88066698"}, {"ref": "sayamabbas/neurips-data-cleaning-and-prediction-xgboost", "kernel_id": "88226104"}, {"ref": "oleggromov/distribution-sampling-baseline", "kernel_id": "88012325"}, {"ref": "wliilamsam/ensmble-of-tree-and-bert", "kernel_id": "88869919"}, {"ref": "seowoohyeon/i-found-tg-ffv-error", "kernel_id": "88479435"}, {"ref": "alekseytrepetsky/tc-constant-after-update", "kernel_id": "88651964"}, {"ref": "alekseytrepetsky/mean-after-update", "kernel_id": "88020327"}, {"ref": "yogeshbawankar/neuralps-hypertuning-pipeline", "kernel_id": "88653678"}, {"ref": "yogeshbawankar/hi-neuralps-3", "kernel_id": "88556445"}, {"ref": "yogeshbawankar/hi-neuralps", "kernel_id": "88491610"}, {"ref": "yogeshbawankar/neuralps-pip-installs", "kernel_id": "88493702"}, {"ref": "yogeshbawankar/multi-seed-ensemble-of-gbdts-and-a-neural-network", "kernel_id": "88773134"}, {"ref": "paritoshtripathi5/mt-ray-package-for-autogluon", "kernel_id": "88465808"}, {"ref": "jedrzejgrabala/fork-of-neurips-polymer-prediction-2025", "kernel_id": "88051298"}, {"ref": "manadipsutradhar/plomymer-prediction-2025-version-57", "kernel_id": "88234826"}, {"ref": "mrsimple07/neurips-preprocessing-tuning-xgb", "kernel_id": "88499671"}, {"ref": "haohuanchen/neurips-lgbm-rdkit", "kernel_id": "88882724"}, {"ref": "xunden/neurlps-xgboost-lightgbm-catboost", "kernel_id": "88435646"}, {"ref": "umerellous/open-polymer-prediction", "kernel_id": "88497465"}, {"ref": "hajimemori/neuelps-poly-2025-xgboost-by-rdkit-ichi-notebook", "kernel_id": "88415037"}, {"ref": "hajimemori/neurlps-poly-2025-smiles-check-ichi-notebook", "kernel_id": "88404234"}, {"ref": "hajimemori/neurips-poly-2025-data-info-ichi-notebook", "kernel_id": "88210602"}, {"ref": "hajimemori/neurlps-poly-2025-polycheck-ichi-notebook", "kernel_id": "88322108"}, {"ref": "hajimemori/neurlps-poly-2025-oligoeffect-ichi-notebook", "kernel_id": "88933245"}, {"ref": "xinaocheng/neurlps-rdkit-baseline-model-xgboost", "kernel_id": "88422472"}, {"ref": "fathmamehnoor/neurips-2025-open-polymer-challenge", "kernel_id": "88532044"}, {"ref": "sanjidh090/neural-ips-open-polymer", "kernel_id": "88247799"}, {"ref": "kushubhai/neurips-submission-file", "kernel_id": "88293520"}, {"ref": "dnlkrl/chembert-attempt-1", "kernel_id": "88513098"}, {"ref": "fresnellll/chemprop-demo", "kernel_id": "88902203"}, {"ref": "aayushgajeshwar/neuripstest", "kernel_id": "88017594"}, {"ref": "aayushgajeshwar/neurips-new", "kernel_id": "88172315"}, {"ref": "louisxvi07/base-notebook-for-polymers-beginner-friendly", "kernel_id": "88290624"}, {"ref": "sarthakpatel263/poylmer-model", "kernel_id": "88815099"}, {"ref": "raunakshrestha007/ppp-rdkit-preprocessing-neuroips", "kernel_id": "88763903"}, {"ref": "raunakshrestha007/notebook4236e21bde", "kernel_id": "88449294"}, {"ref": "raunakshrestha007/deeznotes", "kernel_id": "88150348"}, {"ref": "meerpi/notebook67d9497b96", "kernel_id": "88911633"}, {"ref": "alexa2004/polymer-bert-inference", "kernel_id": "88295109"}, {"ref": "alexa2004/neurips-just-extertrees", "kernel_id": "88312963"}, {"ref": "nicholechristie/notebook12dc146197", "kernel_id": "88101718"}, {"ref": "attackonstats/chembert-ensemble", "kernel_id": "88072360"}, {"ref": "lytvyiv1/polymer-property-prediction-with-xgb-svr-lgbm", "kernel_id": "88506696"}, {"ref": "mtinti/how-to-compute-t-smiles", "kernel_id": "89543788"}, {"ref": "mtinti/rapids-smiles-auto-submit", "kernel_id": "89198242"}, {"ref": "alperr/polymer-prediction", "kernel_id": "89048454"}, {"ref": "lemmingy/neurips-polymer-v064-stable-enhanced", "kernel_id": "89250585"}, {"ref": "lemmingy/neurips-polymer-v065-stable-optimized", "kernel_id": "89439406"}, {"ref": "lemmingy/neurips-polymer-v066-hybrid-optimized", "kernel_id": "89535219"}, {"ref": "lemmingy/neurips-polymer-v067-feature-selection", "kernel_id": "89550305"}, {"ref": "rob1080ti/tg-modified-fork-of-lb0-65-xgb-5-fold", "kernel_id": "89440265"}, {"ref": "tasmim/neuralps-xtra-data-augment-multimodels", "kernel_id": "89251651"}, {"ref": "tasmim/neuralps-augment-ensemble-latest-dataset", "kernel_id": "89947488"}, {"ref": "mehrankazeminia/1-polymer2025", "kernel_id": "89162483"}, {"ref": "nakanishiwataru/pb-0-087-lb-0-060-bert-grea-gnn-gbdt-ensemble", "kernel_id": "89912625"}, {"ref": "nakanishiwataru/pb-0-093-lb-0-067-grea-gnn-ensemble-model", "kernel_id": "89976571"}, {"ref": "akihiroorita/pb-0-88-autotabpfnressor", "kernel_id": "89464013"}, {"ref": "akihiroorita/gnn-embedding-rdkit-descriptors-morganfp-ca", "kernel_id": "89400271"}, {"ref": "akihiroorita/polycl-contrastive-learning-for-polymer-representa", "kernel_id": "89278373"}, {"ref": "paritoshtripathi5/tabnet", "kernel_id": "89091205"}, {"ref": "vet231199/neurips-ml-for-accelerating-materials", "kernel_id": "89005630"}, {"ref": "shadesh/baseline-model-for-polymer-property-prediction", "kernel_id": "89516798"}, {"ref": "shadesh/prediction-using-smiles-xgb", "kernel_id": "89517423"}, {"ref": "sripadamsujithsai/neurips-2025-polymers", "kernel_id": "89544483"}, {"ref": "atharvamuley25/neurips-polymer-prediction-xgb", "kernel_id": "89892467"}, {"ref": "xunden/5fold-ensemble-xgb-lgbm-catboost", "kernel_id": "89643425"}, {"ref": "xunden/5fold-ensemble-simple-models", "kernel_id": "89253707"}, {"ref": "dolomone/fork-of-neurips-morgan-7cf990", "kernel_id": "89754915"}, {"ref": "manobattula/neurips-polymer-2025-v1", "kernel_id": "89599035"}, {"ref": "fxlcee/lb0-065-xgb-5-fold", "kernel_id": "89417947"}, {"ref": "hajimemori/neurlps-poly-2025-custum-features-ichi-notebook", "kernel_id": "89153044"}, {"ref": "hajimemori/neurlps-poly-2025-dimersmiles-ichi-notebook", "kernel_id": "89504171"}, {"ref": "ezberch/open-polymer-prediction-2025-2nd-place", "kernel_id": "89764258"}, {"ref": "harukakireii/neurips-2025-open-polymer-challenge-tutoria-af4046", "kernel_id": "89373875"}, {"ref": "ayushpattanayak100/v2-polymer-xgbregressor", "kernel_id": "89049990"}, {"ref": "evilak09/catboostregressor-featureengineering", "kernel_id": "89105306"}, {"ref": "kushubhai/neurips-best-submission-file", "kernel_id": "89098333"}, {"ref": "arandomhobbyist/gnn-lstm-pipeline", "kernel_id": "89686387"}, {"ref": "dnlkrl/chembert-training-notebook", "kernel_id": "89070892"}, {"ref": "fresnellll/gnn-submit", "kernel_id": "89549312"}, {"ref": "tkt0214/rdkit-with-catboost", "kernel_id": "89515769"}, {"ref": "yusuketogashi/lb-0-66-no-datasets-no-problem", "kernel_id": "89892393"}, {"ref": "antonglushko1/notebookc5750a3cbf", "kernel_id": "89242637"}, {"ref": "yangbogauthier/neurips2025openpolymer", "kernel_id": "89311041"}, {"ref": "hamishhiscock/polymer-predictor-stacked", "kernel_id": "89103135"}, {"ref": "hisaylama/add-polymer-property", "kernel_id": "90193696"}, {"ref": "lemmingy/neurips-polymer-v083-separate-df", "kernel_id": "90425045"}, {"ref": "lemmingy/neurips-polymer-v082-cv-clean", "kernel_id": "90393052"}, {"ref": "lemmingy/neurips-polymer-v081-fixed-wmae", "kernel_id": "90378884"}, {"ref": "lemmingy/neurips-polymer-v078-v072-plus-pi1m", "kernel_id": "90202482"}, {"ref": "lemmingy/neurips-polymer-v079-pseudo-labeling", "kernel_id": "90217332"}, {"ref": "lemmingy/neurips-polymer-v080-pi1m-pseudo-labeling", "kernel_id": "90224781"}, {"ref": "lemmingy/neurips-polymer-v084-simple-params", "kernel_id": "90705699"}, {"ref": "lemmingy/neurips-polymer-v086-cv-fix", "kernel_id": "90770877"}, {"ref": "lemmingy/neurips-polymer-v087-validation-fix", "kernel_id": "90790447"}, {"ref": "lemmingy/neurips-polymer-v085-cv-debug", "kernel_id": "90738186"}, {"ref": "lemmingy/neurips-polymer-v088-cv-unified", "kernel_id": "90832122"}, {"ref": "lemmingy/neurips-polymer-v089-no-fallback", "kernel_id": "90857489"}, {"ref": "hasegawatsuyoshi/neurips-polymer-v3-0-mordred-leak-ensemble", "kernel_id": "90188678"}, {"ref": "dedquoc/neurips-opp-2025-score", "kernel_id": "90867915"}, {"ref": "samithsachidanandan/neurips-rdkit-multi-model-xgboost-ensemble", "kernel_id": "90020796"}, {"ref": "nakanishiwataru/pb-0-092-lb-0-065-polymor-best-catboost", "kernel_id": "90378806"}, {"ref": "seowoohyeon/lb0-062-xgb-5-fold", "kernel_id": "90453738"}, {"ref": "seowoohyeon/check-tgss", "kernel_id": "90970187"}, {"ref": "raniahelmy/neurips-dataset3", "kernel_id": "90819071"}, {"ref": "yogeshbawankar/neuralps-12-nn", "kernel_id": "90203890"}, {"ref": "yogeshbawankar/baseline-lgbm-plus-morgan-fingerprints", "kernel_id": "90666347"}, {"ref": "yogeshbawankar/hybrid-xgboost-mlp", "kernel_id": "90676392"}, {"ref": "hammerlord/open-polymer", "kernel_id": "90945694"}, {"ref": "petraleka/transpolymer", "kernel_id": "90148415"}, {"ref": "petraleka/transpolymer-inference", "kernel_id": "90233321"}, {"ref": "fridaycode/neurips-polymer-competition-gnn-0-083-private-lb", "kernel_id": "90403986"}, {"ref": "hajimemori/neurlps-poly2025-custum-features-results-ichi-note", "kernel_id": "90064736"}, {"ref": "hajimemori/neurlps-poly-2025-tg-model-study-ichi-note", "kernel_id": "90227440"}, {"ref": "anshurupgupta/polymertree", "kernel_id": "90584739"}, {"ref": "shubhojitnaskar/neurips-version1", "kernel_id": "90049805"}, {"ref": "yujung1125/neurips-polymer-using-xgb-only-use-str", "kernel_id": "90947798"}, {"ref": "kemalsayar/a-simple-solution-wo-tg-tweak-extra-data-hp-opt", "kernel_id": "90104838"}, {"ref": "zorornoa/neurips", "kernel_id": "90804844"}, {"ref": "pritishdhama/2ndsubtopolymer", "kernel_id": "90227875"}, {"ref": "zipy42/neurips-unimol-test", "kernel_id": "90680135"}, {"ref": "jade290395/neurips-simple-baseline-with-lightgbm", "kernel_id": "90288520"}, {"ref": "ellie2811/lb-0-064-xgboost-and-augment", "kernel_id": "90636054"}, {"ref": "ellie2811/catboost-lightgbm-neurips-simple-baseline", "kernel_id": "90489824"}, {"ref": "amberflux/polymer-challenge", "kernel_id": "90601633"}, {"ref": "amberflux/dataset-notebook-polymer-challenge", "kernel_id": "90827023"}, {"ref": "hideyukizushi/opp25-xgb-optunademo-lb-070-2025-09-05", "kernel_id": "91317297"}, {"ref": "jankowalski2000/nn-masked-multitarget", "kernel_id": "91334905"}, {"ref": "nakanishiwataru/pb-0-088-lb-0-067-chemberta-inference", "kernel_id": "91271907"}, {"ref": "nakanishiwataru/pb-0-088-lb-0-067-2gpu-chemberta-train", "kernel_id": "91270789"}, {"ref": "nakanishiwataru/pb-0-091-lb-0-069-tabpfnregressor", "kernel_id": "91420720"}, {"ref": "mdismielhossenabir/polymer-prediction-analysis", "kernel_id": "91577601"}, {"ref": "shivamsinghml/neurips-competition-my-input", "kernel_id": "91280288"}, {"ref": "vijithp/notebookb9c072d721", "kernel_id": "91067739"}, {"ref": "yogeshbawankar/hybrid-feature-ensemble-gbdts-mlp", "kernel_id": "91403183"}, {"ref": "dimansinghahirwar/end-to-end-best-practice-solution", "kernel_id": "91066993"}, {"ref": "francescoalbanesephd/neurips-2025-polypred", "kernel_id": "91268347"}, {"ref": "pankajiitr/neurips-gnn-xgb-ensemble", "kernel_id": "91451093"}, {"ref": "alok158/xgb-bilstm-polymer", "kernel_id": "91155134"}, {"ref": "muhammaddanyalmalik/gnn-xgb-cat-lgbm-ensemble", "kernel_id": "91803766"}, {"ref": "muhammaddanyalmalik/neurips-2025-ensemble", "kernel_id": "91096467"}, {"ref": "muhammaddanyalmalik/make-predictions", "kernel_id": "91908872"}, {"ref": "llkh0a/lb0-067-gbms-5-folds-polymer-bert", "kernel_id": "91463057"}, {"ref": "bfladderbean/neurips-open-polymer-prediction", "kernel_id": "91753719"}, {"ref": "fedoseevaelena/polimer-comp", "kernel_id": "91327552"}, {"ref": "britishsamurai/neurips-gnn-xgb-ensemble", "kernel_id": "91922345"}, {"ref": "safrinakabir/neurlps-open-polymer-prediction-2025", "kernel_id": "91422448"}, {"ref": "serkanpaker/neurips-2025-open-polymer-sp16", "kernel_id": "91575926"}, {"ref": "lumme21/no-3d-bestqual-fork-of-neurips", "kernel_id": "91320787"}, {"ref": "eachliu/neurips-xgboost-beasline", "kernel_id": "91318839"}, {"ref": "mtinti/explore-embedding", "kernel_id": "92547525"}, {"ref": "mtinti/fork-of-base-e4-10-predicts", "kernel_id": "92431921"}, {"ref": "ogurtsov/polybert-0-090-private-test", "kernel_id": "92331089"}, {"ref": "tobimichigan/polymer-prediction-algorithmic-pipeline", "kernel_id": "92156289"}, {"ref": "n10705013/xgboost-random-forest-submission", "kernel_id": "92349223"}, {"ref": "jsday96/polymers-tabular-bert-unimol", "kernel_id": "92029234"}, {"ref": "wguesdon/fork-of-neurips-gnn-xgb-ensemble", "kernel_id": "92278588"}, {"ref": "giorgosfoukarakis/neurips-feature-engineering-lightgbm", "kernel_id": "92374736"}, {"ref": "wliilamsam/knn-polyer-svr", "kernel_id": "92073567"}, {"ref": "seowoohyeon/neurips-gnn-xgb-ensemble-a093ac", "kernel_id": "92000673"}, {"ref": "priyamsaha17/installations-polymer-prediction", "kernel_id": "92172987"}, {"ref": "priyamsaha17/fine-tuning-chemberta-for-polymer-prediction", "kernel_id": "92045948"}, {"ref": "akihiroorita/pb-0-087-lb-0-067-neurips-xgb-ensemble", "kernel_id": "92026005"}, {"ref": "glitteryhippo/silver-medal-907565", "kernel_id": "92177747"}, {"ref": "ghostiee11/neurips-final-notebook", "kernel_id": "92201695"}, {"ref": "ishitabahamnia/open-polymer-notebookfde824d79f", "kernel_id": "92625273"}, {"ref": "adman007/neurips-ridge-stacking-rf-et-mlp-lasso-enet", "kernel_id": "92065833"}, {"ref": "yujung1125/neurips-polymer-sageconv", "kernel_id": "92080612"}, {"ref": "nextsmallestml/neurips-forked", "kernel_id": "92118005"}, {"ref": "zipy42/neurips-uni-molv2-bestfuture-win2", "kernel_id": "92157225"}, {"ref": "deil87/fork-of-neurips-2025-open-polymer-challenge-public", "kernel_id": "93496301"}, {"ref": "felipeporcher/4th-solution-refactor", "kernel_id": "93292810"}, {"ref": "ymdnoyk/neurips-my-notebook", "kernel_id": "93132422"}, {"ref": "sopronsh/polymer-prediction-kaggle", "kernel_id": "94701672"}, {"ref": "jihwano/baseline-21-ablation-study", "kernel_id": "96858757"}, {"ref": "akacua/open-polymer-compe-notebook", "kernel_id": "96813829"}, {"ref": "frostyashe/notebook058a3898ed", "kernel_id": "99944187"}, {"ref": "jihwano/polymer-best-1st-place", "kernel_id": "100043599"}, {"ref": "jihwano/polymer-best-1st-place-pseudo-labels", "kernel_id": "100070355"}, {"ref": "jihwano/ablation-baseline-21", "kernel_id": "102280316"}, {"ref": "jihwano/top-20-new-ablation-study", "kernel_id": "102280534"}, {"ref": "jihwano/top-15-new-ablation-study", "kernel_id": "102280553"}, {"ref": "jihwano/top-10-new-ablation-study", "kernel_id": "102280571"}, {"ref": "jihwano/ablation-top-15-new", "kernel_id": "102280790"}, {"ref": "amitkumargope/neurips-open-polymer-prediction-2025-amit", "kernel_id": "102428917"}, {"ref": "tmncollins/ml-journal-9-polymer-properties-prediction", "kernel_id": "102993750"}, {"ref": "graydon/neurips-polymer-prediction-2025-submission-v21", "kernel_id": "104536077"}, {"ref": "akacua/smiles-augmentation", "kernel_id": "104259581"}, {"ref": "rajavignesh407/polymer-properties-predictions", "kernel_id": "107155947"}, {"ref": "nkforwork/reproduction-of-neurips-polymer-interface", "kernel_id": "111735099"}, {"ref": "ekichi/nvidia-nemotron-repo", "kernel_id": "112804936"}, {"ref": "nkforwork/reproduction-of-neurips-polymer-training", "kernel_id": "113143352"}, {"ref": "nashuar/notebooke3acc3384b", "kernel_id": "115688063"}, {"ref": "jooseok/notebookf96c81d259", "kernel_id": "115074952"}, {"ref": "graydon/neurips-polymer-1st-place-post-comp-0-07151", "kernel_id": "116858753"}, {"ref": "brandonlo3/chemberta-workbook", "kernel_id": "116170824"}, {"ref": "magicyuan1/neurips-2025-rdkit-lightgbm-polymer-prediction", "kernel_id": "118515559"}, {"ref": "magicyuan1/polymer-prediction-rdkit-lightgbm", "kernel_id": "118516235"}, {"ref": "magicyuan1/neurips-polymer-submit", "kernel_id": "118517848"}, {"ref": "seunghwanjung18/gcn-5fold-oof-ipynb", "kernel_id": "118438785"}, {"ref": "starnac1/exp74-batchnorm-api-v1", "kernel_id": "121254892"}, {"ref": "starnac1/exp85-step-lr-seed777", "kernel_id": "121287951"}, {"ref": "starnac1/exp86-steplr-seed8888", "kernel_id": "121288057"}, {"ref": "starnac1/exp84-step-lr-seed333", "kernel_id": "121287931"}, {"ref": "starnac1/exp82-step-seed111", "kernel_id": "121280947"}, {"ref": "starnac1/exp83-step-seed222", "kernel_id": "121280958"}, {"ref": "starnac1/exp87-periodic-v3", "kernel_id": "121293505"}, {"ref": "starnac1/exp88-task-gating", "kernel_id": "121302498"}, {"ref": "starnac1/exp93-transformer-fusion", "kernel_id": "121425030"}, {"ref": "starnac1/exp94-pure-transformer", "kernel_id": "121426316"}, {"ref": "starnac1/exp91-hd192-v2", "kernel_id": "121387620"}, {"ref": "starnac1/exp89-hd64", "kernel_id": "121387281"}, {"ref": "starnac1/exp90-hd128", "kernel_id": "121387289"}, {"ref": "starnac1/exp92-fused-filtered", "kernel_id": "121405612"}, {"ref": "starnac1/exp109-mixed-fp", "kernel_id": "121802958"}, {"ref": "starnac1/exp110-d4-hd128", "kernel_id": "121803026"}, {"ref": "starnac1/exp111-d4-hd192", "kernel_id": "121803085"}, {"ref": "starnac1/exp112-d4-hd256", "kernel_id": "121803179"}, {"ref": "starnac1/exp113-d4-hd320", "kernel_id": "121803254"}, {"ref": "starnac1/g119-d5-hd256", "kernel_id": "121807632"}, {"ref": "starnac1/g120-d5-hd320", "kernel_id": "121807657"}, {"ref": "starnac1/exp114-d4-hd384", "kernel_id": "121803331"}, {"ref": "starnac1/exp115-d4-hd448", "kernel_id": "121803392"}, {"ref": "starnac1/exp116-d4-hd512", "kernel_id": "121803492"}, {"ref": "starnac1/exp117-d5-hd128", "kernel_id": "121803560"}, {"ref": "starnac1/exp118-d5-hd192", "kernel_id": "121803644"}, {"ref": "starnac1/exp95-sgd-nesterov-steplr", "kernel_id": "121537816"}, {"ref": "starnac1/exp104-mse-best-config", "kernel_id": "121665239"}, {"ref": "starnac1/exp105-wmae-best-config", "kernel_id": "121665243"}, {"ref": "starnac1/exp101-bs128", "kernel_id": "121654073"}, {"ref": "starnac1/exp102-bs256", "kernel_id": "121654108"}, {"ref": "starnac1/exp99-bs32", "kernel_id": "121653943"}, {"ref": "starnac1/exp100-bs64", "kernel_id": "121653998"}, {"ref": "starnac1/exp103bs512", "kernel_id": "121655089"}, {"ref": "starnac1/exp28-1-retrain", "kernel_id": "121685409"}, {"ref": "starnac1/exp108-master-verify", "kernel_id": "121691096"}, {"ref": "starnac1/exp28-1b", "kernel_id": "121686077"}, {"ref": "starnac1/exp96-taskbalanced-mse", "kernel_id": "121617067"}, {"ref": "starnac1/exp97-robust-normalized-mse", "kernel_id": "121617071"}, {"ref": "starnac1/exp5-baseline-gnn", "kernel_id": "121616211"}, {"ref": "starnac1/baseline-gnn-origin-nb", "kernel_id": "121615594"}, {"ref": "haodonglong/exp-gated", "kernel_id": "122154312"}, {"ref": "haodonglong/exp-concat", "kernel_id": "122154316"}, {"ref": "starnac1/submit-d6-384", "kernel_id": "122269617"}, {"ref": "starnac1/submit-d7-128", "kernel_id": "122269939"}, {"ref": "starnac1/submit-d6-128", "kernel_id": "122269191"}, {"ref": "starnac1/submit-d6-192", "kernel_id": "122269312"}, {"ref": "starnac1/submit-d6-256", "kernel_id": "122269400"}, {"ref": "starnac1/submit-d7-512", "kernel_id": "122270612"}, {"ref": "starnac1/submit-nf-5", "kernel_id": "122270799"}, {"ref": "starnac1/submit-nf-7", "kernel_id": "122270916"}, {"ref": "starnac1/submit-nf-9", "kernel_id": "122271035"}, {"ref": "starnac1/submit-d5-192", "kernel_id": "122268552"}, {"ref": "starnac1/submit-d5-256", "kernel_id": "122268659"}, {"ref": "starnac1/submit-d5-128", "kernel_id": "122268213"}, {"ref": "starnac1/submit-d5-384", "kernel_id": "122268858"}, {"ref": "starnac1/submit-d5-448", "kernel_id": "122268966"}, {"ref": "starnac1/exp110-d4-ensemble", "kernel_id": "122067066"}, {"ref": "starnac1/exp111-d5-ensemble", "kernel_id": "122067081"}, {"ref": "starnac1/exp112-d6-ensemble", "kernel_id": "122067101"}, {"ref": "starnac1/exp113-d7-ensemble", "kernel_id": "122067124"}, {"ref": "starnac1/exp114-d8-ensemble", "kernel_id": "122067148"}, {"ref": "starnac1/exp121-hd512-d4", "kernel_id": "122131385"}, {"ref": "starnac1/exp120-hd448-d4", "kernel_id": "122131983"}, {"ref": "starnac1/exp120", "kernel_id": "122130974"}, {"ref": "starnac1/exp129-nodefeat-5dim", "kernel_id": "122158122"}, {"ref": "starnac1/exp130-nodefeat-7dim", "kernel_id": "122158169"}, {"ref": "starnac1/exp131-nodefeat-9dim", "kernel_id": "122158232"}, {"ref": "starnac1/exp132-nodefeat-11dim", "kernel_id": "122158310"}, {"ref": "starnac1/exp115-d4-hd128", "kernel_id": "122128953"}, {"ref": "starnac1/exp116-d4-hd192", "kernel_id": "122128962"}, {"ref": "starnac1/exp117-d4-hd256", "kernel_id": "122128973"}, {"ref": "starnac1/exp118-d4-hd320", "kernel_id": "122128984"}, {"ref": "starnac1/exp119-d4-hd384", "kernel_id": "122128997"}, {"ref": "wukerui1006/notebookf4bcf81ee1", "kernel_id": "130430589"}]}
{"competition_id": "74616", "kernels": []}
{"competition_id": "74631", "kernels": [{"ref": "cetinsamet/image-classification-simpson-faces", "kernel_id": "54282421"}, {"ref": "rahulnakka/simpsons-face-detction-vitmodel", "kernel_id": "54228125"}]}
{"competition_id": "74632", "kernels": []}
{"competition_id": "74637", "kernels": []}
{"competition_id": "74640", "kernels": [{"ref": "hrishikeshyadav/hunting-planet-eda", "kernel_id": "54459328"}, {"ref": "anuraaganath/team-secret-planet-hunt-solution-0-9991", "kernel_id": "54425182"}]}
{"competition_id": "74664", "kernels": [{"ref": "theinscrutable/sample-notebook", "kernel_id": "54525865"}, {"ref": "colbyeagan/sample-notebook", "kernel_id": "54833161"}, {"ref": "colebe/slae-notebook", "kernel_id": "54904694"}, {"ref": "davidmajernik/sample-notebook", "kernel_id": "54829929"}, {"ref": "theinscrutable/sample-notebook-f24", "kernel_id": "68769167"}, {"ref": "donnahardy/dee-x-ai-unc-nlp-notebook", "kernel_id": "73793263"}]}
{"competition_id": "74694", "kernels": []}
{"competition_id": "74695", "kernels": []}
{"competition_id": "74700", "kernels": [{"ref": "camilosv/eda-camilo-serrano", "kernel_id": "54985992"}]}
{"competition_id": "74704", "kernels": [{"ref": "esturman/ece379k-homework-4", "kernel_id": "54890336"}, {"ref": "haakonmongstad/computer-vision-hw4", "kernel_id": "54988469"}, {"ref": "junjunhyunkim/hw4-junhyun-kim-24s-ece-379", "kernel_id": "55179484"}]}
{"competition_id": "74717", "kernels": []}
{"competition_id": "74720", "kernels": [{"ref": "dl4cv2024team3/starter-noteboook", "kernel_id": "54745171"}, {"ref": "sezginkyle/high-accuracy-real-or-ai-generated-photo", "kernel_id": "89544003"}, {"ref": "vemulapallisaiganesh/notebook10cda7b6a1", "kernel_id": "96653505"}, {"ref": "jayasimhav/high-accuracy-real-or-ai-generated-photo", "kernel_id": "99882382"}, {"ref": "jayasimhav/notebook10cda7b6a1", "kernel_id": "99882703"}]}
{"competition_id": "74729", "kernels": []}
{"competition_id": "74731", "kernels": [{"ref": "shashwatpatel/pytorch-ann", "kernel_id": "54481738"}, {"ref": "paulrogov/improved-1st-place-full-solution-3-50621", "kernel_id": "54724297"}, {"ref": "jaisuryaprabu/concrete-strength-regression-eda", "kernel_id": "54486453"}, {"ref": "carloscll/cll-concrete-strength-base", "kernel_id": "54458423"}, {"ref": "vigneshwaransundar/concrete-strength-regression-using-xgboost", "kernel_id": "54748916"}, {"ref": "vishvaadarshan/concrete-regression", "kernel_id": "54507228"}, {"ref": "huseyinsezen/concrete-strength", "kernel_id": "54344640"}, {"ref": "sahilgarg108/concrete-strength-eda-model-training", "kernel_id": "54248017"}, {"ref": "noureddinebelmokhtar/custom-nn-predictor-concrete-strength", "kernel_id": "88103537"}, {"ref": "mohamedelrouby/concrete-strength-regression", "kernel_id": "89091126"}, {"ref": "noureddinebelmokhtar/ann-for-concrete-strength-prediction-v1", "kernel_id": "130114051"}, {"ref": "hamzahsaif/notebook5f2adb0a95", "kernel_id": "134536933"}]}
{"competition_id": "74737", "kernels": []}
{"competition_id": "74752", "kernels": [{"ref": "abdmental01/paddy-disease-clean-solution", "kernel_id": "51544392"}, {"ref": "hermanut/starter-notebook", "kernel_id": "54842005"}, {"ref": "mornstar13/bird-genus-multiclass-classification", "kernel_id": "55820634"}]}
{"competition_id": "74776", "kernels": [{"ref": "ambrosm/pss4e4-eda-which-makes-sense", "kernel_id": "53752155"}, {"ref": "optimistix/automl-using-h2o-for-s4e4-surrogate", "kernel_id": "54400008"}, {"ref": "optimistix/simple-starter-multiple-untuned-models", "kernel_id": "54975810"}, {"ref": "satyaprakashshukl/surrogate-data-h20-abalone-analysis", "kernel_id": "54481525"}, {"ref": "satyaprakashshukl/neural-network-dl-surrogate-data-analysis", "kernel_id": "54481859"}, {"ref": "satyaprakashshukl/boosting-regression-analysis", "kernel_id": "54960801"}, {"ref": "ravi20076/playgrounds4e04-surrogate-automl", "kernel_id": "54255465"}]}
{"competition_id": "74785", "kernels": []}
{"competition_id": "74788", "kernels": [{"ref": "tianlantang/5329competition", "kernel_id": "57418165"}, {"ref": "vejayks/dummy2", "kernel_id": "57391066"}, {"ref": "vejayks/dummy", "kernel_id": "57347353"}, {"ref": "charankrishnanori/assignment-2-final", "kernel_id": "57408214"}, {"ref": "sebastianmcconkeyg/imagetextclassifier", "kernel_id": "57206438"}, {"ref": "junjiezou12138/5329-a2", "kernel_id": "57338724"}]}
{"competition_id": "74797", "kernels": [{"ref": "whchb1122/baseline-1-edit-20240412", "kernel_id": "54329744"}, {"ref": "whchb1122/baseline-ipynb", "kernel_id": "54698230"}, {"ref": "whchb1122/private-1st-0-73566-mcnet-stratified-k-fold", "kernel_id": "56427518"}]}
{"competition_id": "74814", "kernels": []}
{"competition_id": "74819", "kernels": [{"ref": "tsewangnamgail10/email-spam", "kernel_id": "92890096"}]}
{"competition_id": "74822", "kernels": []}
{"competition_id": "74830", "kernels": []}
{"competition_id": "74833", "kernels": []}
{"competition_id": "74837", "kernels": [{"ref": "channo39mz/prehack2", "kernel_id": "54684657"}, {"ref": "channo39mz/prehack", "kernel_id": "54360022"}, {"ref": "korjor/extra-machima", "kernel_id": "54353475"}, {"ref": "myphatu/vgg16-score", "kernel_id": "54389558"}, {"ref": "e27085921/lucky-method", "kernel_id": "55024442"}, {"ref": "netichai/402500-vit-large", "kernel_id": "55000927"}]}
{"competition_id": "74841", "kernels": []}
{"competition_id": "74843", "kernels": [{"ref": "jhonoris/notebookdd9a31c00e", "kernel_id": "57789170"}, {"ref": "elifberaaa/kalp-krizi", "kernel_id": "68760206"}, {"ref": "t8101349/heart-attack-prediction-2", "kernel_id": "80853988"}, {"ref": "t8101349/heart-attack-prediction", "kernel_id": "80737970"}]}
{"competition_id": "74845", "kernels": []}
{"competition_id": "74859", "kernels": [{"ref": "williamguimontmartin/dataloaders-h2024", "kernel_id": "54369353"}]}
{"competition_id": "74881", "kernels": [{"ref": "ssegui/dsml-recsys1-baseline-top-popular", "kernel_id": "54409114"}, {"ref": "ssegui/dsml-recsys1-collaborative-filtering-mf", "kernel_id": "54410975"}]}
{"competition_id": "74885", "kernels": [{"ref": "alizeyn/t16-starter-notebook", "kernel_id": "54637674"}]}
{"competition_id": "74889", "kernels": [{"ref": "sokkhelena/starter-notebook-v2", "kernel_id": "54629986"}]}
{"competition_id": "74909", "kernels": []}
{"competition_id": "74914", "kernels": [{"ref": "krimimohamed/17-04-2024", "kernel_id": "54739549"}]}
{"competition_id": "74920", "kernels": [{"ref": "danipipe777/af-ii-2024-1-object-localization", "kernel_id": "55832301"}, {"ref": "danipipe777/af-ii-2024-ii-object-localization", "kernel_id": "68218692"}]}
{"competition_id": "74926", "kernels": [{"ref": "pefraimi/submission-template", "kernel_id": "55005206"}, {"ref": "pefraimi/algorithm-development-notebook", "kernel_id": "55012567"}]}
{"competition_id": "74932", "kernels": [{"ref": "naghmaafreen/starter-notebook", "kernel_id": "54643208"}, {"ref": "kristjansolmann/starter-notebook", "kernel_id": "56981335"}]}
{"competition_id": "74936", "kernels": []}
{"competition_id": "74938", "kernels": [{"ref": "madbluey/example-submission", "kernel_id": "54625176"}]}
{"competition_id": "74958", "kernels": []}
{"competition_id": "74977", "kernels": []}
{"competition_id": "74988", "kernels": []}
{"competition_id": "75023", "kernels": [{"ref": "leylarahimli/starter-notebook", "kernel_id": "54688672"}]}
{"competition_id": "75025", "kernels": []}
{"competition_id": "75028", "kernels": [{"ref": "picekl/download-images-under-20m-instead-of-4h", "kernel_id": "55995450"}]}
{"competition_id": "75043", "kernels": []}
{"competition_id": "75049", "kernels": [{"ref": "yarochka270602/starter-notebook-trash-segmentation", "kernel_id": "54617341"}, {"ref": "shadesh/a-deep-learning-approach-for-waste-management", "kernel_id": "54679483"}]}
{"competition_id": "75051", "kernels": []}
{"competition_id": "75056", "kernels": [{"ref": "raineich/starter-notebook", "kernel_id": "54632553"}, {"ref": "xiangyannlim/efficientnet-v2-m-100-epoch-with-aug", "kernel_id": "59003049"}, {"ref": "erenkonta/oklu-mantar-s-n-fland-rmas", "kernel_id": "68911169"}, {"ref": "tyanvsharfe/mushrooms-enet", "kernel_id": "71593168"}, {"ref": "yesnile/notebookd78e0d7731", "kernel_id": "73058224"}, {"ref": "foogles/mushrooms", "kernel_id": "77116670"}, {"ref": "dassaperina/mushroom-multiclass-classification", "kernel_id": "78113514"}, {"ref": "serapic/vision-2-2-6", "kernel_id": "79893166"}, {"ref": "serapic/colabvision", "kernel_id": "79930254"}, {"ref": "parcart/mushroomclassifier-efficientnetv2b3", "kernel_id": "79784113"}]}
{"competition_id": "75057", "kernels": [{"ref": "margusl/dl4cv-10-starter-notebook", "kernel_id": "54625615"}]}
{"competition_id": "75059", "kernels": []}
{"competition_id": "75063", "kernels": []}
{"competition_id": "75072", "kernels": []}
{"competition_id": "75075", "kernels": [{"ref": "massivedatamining/gcn-example", "kernel_id": "54702639"}, {"ref": "massivedatamining/submission-example", "kernel_id": "54703683"}, {"ref": "massivedatamining/pyg-dgl", "kernel_id": "54838336"}, {"ref": "qixizheng/submission-example", "kernel_id": "56422978"}]}
{"competition_id": "75079", "kernels": [{"ref": "maksimploter/sumbmision-notebook", "kernel_id": "54694965"}, {"ref": "kirillkuznetsov/car-object-detection-competition", "kernel_id": "86632968"}]}
{"competition_id": "75082", "kernels": []}
{"competition_id": "75091", "kernels": []}
{"competition_id": "75102", "kernels": []}
{"competition_id": "75103", "kernels": []}
{"competition_id": "75110", "kernels": [{"ref": "krammerg/shallow-learning-baseline", "kernel_id": "54719572"}, {"ref": "krammerg/deep-learning-baseline", "kernel_id": "54728141"}]}
{"competition_id": "75114", "kernels": []}
{"competition_id": "75129", "kernels": []}
{"competition_id": "75131", "kernels": []}
{"competition_id": "75133", "kernels": []}
{"competition_id": "75134", "kernels": [{"ref": "krammerg/seefood-baseline", "kernel_id": "54737493"}]}
{"competition_id": "75139", "kernels": []}
{"competition_id": "75141", "kernels": [{"ref": "sokkhelena/starter-notebook", "kernel_id": "54752856"}, {"ref": "margusl/unitartucs-dl4cv24-comp-squirrel-seg", "kernel_id": "56484603"}]}
{"competition_id": "75176", "kernels": [{"ref": "vulpesvulpes/amia-starter-notebook", "kernel_id": "55287130"}, {"ref": "adityapanchal10/monai-amia", "kernel_id": "57952777"}, {"ref": "adityapanchal10/resnet-fasterr-cnn-amia", "kernel_id": "58325312"}, {"ref": "jeff271/unit-circle", "kernel_id": "59410624"}, {"ref": "buithanhxuan/yolov9-btxuan", "kernel_id": "64995810"}, {"ref": "buithanhxuan/n27th8-yolov5", "kernel_id": "64813837"}, {"ref": "buithanhxuan/n27th8-fastrcnn", "kernel_id": "64801344"}, {"ref": "buithanhxuan/n27th8-yolov8", "kernel_id": "64833157"}, {"ref": "buithanhxuan/n28th8-yolov10", "kernel_id": "64850966"}, {"ref": "sahil2702/notebookbc0671be52", "kernel_id": "64087038"}, {"ref": "xuan2261/xuan2261-yolov8", "kernel_id": "64872753"}, {"ref": "xuan2261/resnet-fasterr-cnn-xuan2261", "kernel_id": "64914186"}, {"ref": "xuan2261/yolov5tov8", "kernel_id": "64977630"}, {"ref": "xuan2261/xuan2261-yolov9", "kernel_id": "64989477"}, {"ref": "buithanhxuan/cyclegan-self-attention-mechanism", "kernel_id": "65749355"}, {"ref": "buithanhxuan/xuan2261-create-submission", "kernel_id": "65736147"}, {"ref": "nguyencongvn/yolov9-btxuan", "kernel_id": "65025265"}, {"ref": "xuan2261/vindrcxr-yolov8m-3labels-50epochs", "kernel_id": "65829605"}, {"ref": "xuan2261/xuan2261-16class-detect", "kernel_id": "65877270"}, {"ref": "sonle90/xuan2261-create-submission-gpu", "kernel_id": "65991929"}, {"ref": "camduyminh/amia-starter-notebook", "kernel_id": "128802021"}]}
{"competition_id": "75186", "kernels": []}
{"competition_id": "75201", "kernels": [{"ref": "smailaar/data-preprocessing-eee-karab-k", "kernel_id": "55934708"}, {"ref": "ibrahimsengun63/knn-telecom-customer-churn-analysis-prediction", "kernel_id": "55624417"}, {"ref": "smailaar/data-visualization-eee-karab-k", "kernel_id": "56906298"}, {"ref": "ibrahimsengun63/ffn-telecom-churn-analysis-prediction", "kernel_id": "58603120"}, {"ref": "hetvyas0211/telecom-prediction", "kernel_id": "58357211"}, {"ref": "salamattolybaev/notebookf89e4fbfc6", "kernel_id": "101885788"}]}
{"competition_id": "75203", "kernels": []}
{"competition_id": "75207", "kernels": [{"ref": "minhduynguyen/bias-model", "kernel_id": "61127375"}, {"ref": "truonghoangvuk18dn/image-classification", "kernel_id": "98428444"}]}
{"competition_id": "75217", "kernels": []}
{"competition_id": "75232", "kernels": [{"ref": "theturing/mv-project", "kernel_id": "77708307"}, {"ref": "adikun/preprocessing", "kernel_id": "128816879"}, {"ref": "adikun/preprocessing-ini", "kernel_id": "128939167"}, {"ref": "rajibulhazari/preprocessing", "kernel_id": "128967239"}]}
{"competition_id": "75242", "kernels": []}
{"competition_id": "75254", "kernels": [{"ref": "massivedatamining/input-output", "kernel_id": "54844272"}, {"ref": "massivedatamining/project-example", "kernel_id": "55180960"}, {"ref": "nauy00/project-example", "kernel_id": "58773032"}, {"ref": "massivedatamining/project-example-2026-pyg", "kernel_id": "118472375"}]}
{"competition_id": "75280", "kernels": [{"ref": "vasilisperifanis/1-dataexploration", "kernel_id": "54872987"}, {"ref": "vasilisperifanis/2-baselinelr", "kernel_id": "54873413"}]}
{"competition_id": "75331", "kernels": []}
{"competition_id": "75332", "kernels": [{"ref": "weirdanalyst/kaggle-workshop", "kernel_id": "54936860"}]}
{"competition_id": "75343", "kernels": []}
{"competition_id": "75344", "kernels": [{"ref": "danieltunnermann/baseline", "kernel_id": "55280658"}]}
{"competition_id": "75389", "kernels": []}
{"competition_id": "75403", "kernels": []}
{"competition_id": "75404", "kernels": []}
{"competition_id": "75405", "kernels": []}
{"competition_id": "75406", "kernels": []}
{"competition_id": "75408", "kernels": []}
{"competition_id": "75422", "kernels": [{"ref": "hemanthhvv/shaastra-covid-comp", "kernel_id": "55367582"}]}
{"competition_id": "75432", "kernels": []}
{"competition_id": "75436", "kernels": [{"ref": "chaitanya1347/miniproject", "kernel_id": "56359112"}]}
{"competition_id": "75445", "kernels": [{"ref": "seholee1229/pytorch-tutorial", "kernel_id": "55246045"}, {"ref": "seholee1229/pytorch-tutorial-for-students", "kernel_id": "55327919"}, {"ref": "seholee1229/2024-audio-fake-detection-sample-code", "kernel_id": "55154662"}, {"ref": "seholee1229/2024-audio-fake-detection-sample", "kernel_id": "55154760"}]}
{"competition_id": "75459", "kernels": [{"ref": "damakayoub/starter-notebook-basic-cnn-r2-0-92843", "kernel_id": "55293241"}, {"ref": "achrefjarray/smart-oasis-hack", "kernel_id": "55286221"}]}
{"competition_id": "75469", "kernels": [{"ref": "nishthasharma01/copy-of-classification", "kernel_id": "55270529"}, {"ref": "rohithphoenix715/notebook381194cb0b", "kernel_id": "55337846"}]}
{"competition_id": "75476", "kernels": [{"ref": "abbi163/notebookc4d4013e8b", "kernel_id": "57890351"}, {"ref": "felipevasquezu/mae-8-with-interpolation", "kernel_id": "124906808"}]}
{"competition_id": "75492", "kernels": [{"ref": "mohammedsalf/movies-sentiment-classifier", "kernel_id": "55723381"}, {"ref": "anasalshiekhbakri/sentiment-analysis-on-movies-feedback", "kernel_id": "55389367"}, {"ref": "kershrita/sentiment-anaylsis-for-movies-review-90-acc", "kernel_id": "56191807"}, {"ref": "reemjpaily/my-work", "kernel_id": "56099634"}, {"ref": "shahedhamed/nlpproject", "kernel_id": "56819681"}, {"ref": "fredericnicholson/zero-shot-with-template", "kernel_id": "56731440"}]}
{"competition_id": "75596", "kernels": []}
{"competition_id": "75598", "kernels": []}
{"competition_id": "75614", "kernels": []}
{"competition_id": "75680", "kernels": []}
{"competition_id": "75681", "kernels": []}
{"competition_id": "75682", "kernels": []}
{"competition_id": "75683", "kernels": []}
{"competition_id": "75684", "kernels": []}
{"competition_id": "75686", "kernels": []}
{"competition_id": "75688", "kernels": []}
{"competition_id": "75693", "kernels": [{"ref": "lko9911/xgboost-property-y", "kernel_id": "55595275"}, {"ref": "cgelber/1st-place-notebook", "kernel_id": "57872794"}]}
{"competition_id": "75703", "kernels": []}
{"competition_id": "75706", "kernels": []}
{"competition_id": "75707", "kernels": []}
{"competition_id": "75709", "kernels": []}
{"competition_id": "76723", "kernels": []}
{"competition_id": "76727", "kernels": [{"ref": "chiehjulin/tps-aug-2022", "kernel_id": "29272409"}, {"ref": "hilalalpak/mushroom-xgb-classifier-model-mcc-score", "kernel_id": "62499960"}, {"ref": "optimistix/starter-mushroom-data-competition", "kernel_id": "63370095"}, {"ref": "taimour/eating-mushrooms-visualize-xgboost", "kernel_id": "63986676"}, {"ref": "ianchute/shrooms-autogluon", "kernel_id": "63246366"}, {"ref": "manojajj/simpleneuralnetwork", "kernel_id": "63961961"}, {"ref": "siukeitin/ps-s4e8-exact-model-for-the-original-data-cpu", "kernel_id": "63779415"}, {"ref": "siukeitin/ps-s4e8-exact-model-for-the-original-data-gpu", "kernel_id": "63792723"}, {"ref": "beja96/can-i-eat-that", "kernel_id": "63586010"}, {"ref": "clairechung/xgboost-polars-optuna-metadata-0-95", "kernel_id": "63991790"}, {"ref": "docxian/ps-s4-e08-binary-mushroom-classification", "kernel_id": "63237959"}, {"ref": "wmiscio/achieving-0-98449-with-random-forest", "kernel_id": "63510644"}, {"ref": "sharadmittal/pgs-s4e8-binary-mushroom-classification", "kernel_id": "63533348"}, {"ref": "thegodchurch/eda-playground", "kernel_id": "63489557"}, {"ref": "thegodchurch/using-flaml", "kernel_id": "63310023"}, {"ref": "thegodchurch/using-h2o", "kernel_id": "63381421"}, {"ref": "bwandowando/simple-voting-ensemble-2x-xgb-2x-lgbm-1x-cat", "kernel_id": "63413663"}, {"ref": "bwandowando/model-ensemble-majority-voting-cv", "kernel_id": "63669291"}, {"ref": "pperna/hill-climbing-ensembling-oof-predictions", "kernel_id": "63422517"}, {"ref": "kqyan1990/mushroom-classification-a-complete-notebook", "kernel_id": "63318289"}, {"ref": "iworeushankaonce/10th-place-automl-granprix-teamsas-ag-componenet", "kernel_id": "63497866"}, {"ref": "mgranada/preparation", "kernel_id": "63288912"}, {"ref": "mgranada/machine-learning-part", "kernel_id": "63609148"}, {"ref": "maiernator/shrooms-are-tasty", "kernel_id": "63477766"}, {"ref": "stpeteishii/poisonous-mushroom-predict-visualize-importance", "kernel_id": "63517542"}, {"ref": "tanujmathur98/winning-with-data-essential-insights", "kernel_id": "63487764"}, {"ref": "suvoooo/only-4-data-ensembleclassifier", "kernel_id": "63510517"}, {"ref": "annastasy/ps4e8-data-cleaning-and-eda-of-mushrooms", "kernel_id": "63316887"}, {"ref": "wangqinjie0304/playgrounds4e08-modeblend", "kernel_id": "63514945"}, {"ref": "dkhundley/playground-s4e8-poisonous-mushrooms", "kernel_id": "63193440"}, {"ref": "blade007/data-story-eda-pss4e8", "kernel_id": "63712498"}, {"ref": "ahsuna123/h20-automl-reorder", "kernel_id": "63246524"}, {"ref": "ahsuna123/ensemble-pse8", "kernel_id": "63265141"}, {"ref": "mmellinger66/ps4e8-poisononous-mushrooms", "kernel_id": "63227576"}, {"ref": "kjihwan/data-cleaning-sanity-check", "kernel_id": "63490911"}, {"ref": "sukanto/mushroom-classification-feature-analysis", "kernel_id": "63295137"}, {"ref": "sukanto/s4-e8-shroomy-features", "kernel_id": "63206010"}, {"ref": "mpwolke/edible-or-inedible-shrooms", "kernel_id": "63188967"}, {"ref": "mpwolke/mushrooms-selection-rfe", "kernel_id": "63376307"}, {"ref": "mciaramitaro/xgb-benchmark", "kernel_id": "63430996"}, {"ref": "muslump/eda-for-poisonous-mushrooms", "kernel_id": "63281167"}, {"ref": "irfanahmad1/simplified-eda-classifier-for-poisonous-mushrooms", "kernel_id": "63253116"}, {"ref": "aparoski/not-a-fun-gi-poisonous-mushroom-eda-prediction", "kernel_id": "63249990"}, {"ref": "p7476762/lgbm-eda-falsealarm-trained-analysis", "kernel_id": "63209340"}, {"ref": "p7476762/13-s-simple-model-s-comparison-with-1-data", "kernel_id": "63584331"}, {"ref": "mexwell/ps4e8-lightgbm-base-model", "kernel_id": "63211378"}, {"ref": "mexwell/ps4e8-ensemble-voting", "kernel_id": "63449394"}, {"ref": "carlmcbrideellis/mushrooms-single-lightgbm-model-20-minutes", "kernel_id": "63268732"}, {"ref": "carlmcbrideellis/starter-mushroom-data-competition", "kernel_id": "63349899"}, {"ref": "yash161101/simple-starter-notebook-make-your-1st-submission", "kernel_id": "63195934"}, {"ref": "jinyoungheo/poisonous-mushrooms-baseline-essential-content", "kernel_id": "63528939"}, {"ref": "vijayrengan/light-boost-algorithm", "kernel_id": "63442930"}, {"ref": "aishwaryasharma1992/ps4e8-poisonous-mushroom-prediction", "kernel_id": "63343726"}, {"ref": "dec0ded/ps4e8-xgboost", "kernel_id": "63242006"}, {"ref": "aayushjain28/mushroom-classification", "kernel_id": "63513289"}, {"ref": "nivedithavudayagiri/poison-mushrooms-xgb-baseline", "kernel_id": "63443480"}, {"ref": "yeonseokcho/poisonous-mushroom", "kernel_id": "63505196"}, {"ref": "rafaelrangel/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63563319"}, {"ref": "leetolo/poisonous-mushroom-eda-1-null-values-v1", "kernel_id": "63884179"}, {"ref": "mohamedabder/02-modelisation-poisonous-mushrooms", "kernel_id": "63636952"}, {"ref": "mohamedabder/01-eda-poisonous-mushroom", "kernel_id": "63214088"}, {"ref": "tracyporter/play-4-8-mushrooms-et", "kernel_id": "63540319"}, {"ref": "tracyporter/play-4-8-mushrooms-lgbm", "kernel_id": "63514802"}, {"ref": "tracyporter/play-4-8-mushrooms-histgradboost", "kernel_id": "63453752"}, {"ref": "mananpbansal/model-blending-nn-xgb-pca-playgrounds04e08", "kernel_id": "63815954"}, {"ref": "stevereadman/pss4e8-lightgbm-randomizedsearchcv", "kernel_id": "63367000"}, {"ref": "danilocardoso/poisonous-mushrooms-randomforest", "kernel_id": "63598671"}, {"ref": "aarifansari/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63389338"}, {"ref": "dheenaleonora/binary-prediction-of-mushroom-edibleness", "kernel_id": "63239804"}, {"ref": "thomasmeiner/ps4e8-bluecastcv-automl-sub-3", "kernel_id": "63209272"}, {"ref": "thomasmeiner/ps4e8-bluecastcv-automl-august-explore", "kernel_id": "63205122"}, {"ref": "mohamedfarouk94/mushrooms-eda-several-models", "kernel_id": "63516208"}, {"ref": "mahmoudlimam/mushrooms-baseline", "kernel_id": "63901442"}, {"ref": "rezashokrzad/xgboost-mcc-0-985", "kernel_id": "63642685"}, {"ref": "rezashokrzad/autogluon-shrooms-t7-dslanders", "kernel_id": "63959110"}, {"ref": "rezashokrzad/0-991acc-catboost-t7-dslanders", "kernel_id": "63231697"}, {"ref": "mirabirhossain/mashroom-wohoooo-absolute-beginner-1", "kernel_id": "63221177"}, {"ref": "chiehjulin/ps4e8-catboost", "kernel_id": "63218580"}, {"ref": "anastasialaschishina/mushrooms", "kernel_id": "63636141"}, {"ref": "metehankantemir/binary-prediction-of-mushrooms-mcc-score-0-977", "kernel_id": "63546977"}, {"ref": "roberthatch/automl-0-98525-4th-lgb-cat-ensemble-blend", "kernel_id": "63564104"}, {"ref": "roberthatch/automl4-fe-plus-preprocessing", "kernel_id": "63525643"}, {"ref": "roberthatch/autogp4-pub-improved-poisonous-mushrooms", "kernel_id": "63225580"}, {"ref": "roberthatch/autogp4-original-dataset", "kernel_id": "63203344"}, {"ref": "roberthatch/automl-8-folds-ambrosm-s-eda-which-makes-sense", "kernel_id": "63330552"}, {"ref": "roberthatch/automl4-the-orig-match-and-swap-trick", "kernel_id": "63324006"}, {"ref": "jimgruman/tasty-shrooms", "kernel_id": "63191626"}, {"ref": "vladimirmijatovic/baseline-lightgbm", "kernel_id": "63246417"}, {"ref": "faroughashkouti/mushroom-cls-2-t3-dslanders-xgboost-kfold", "kernel_id": "63453517"}, {"ref": "faroughashkouti/mushroom-cls-t3-dslanders", "kernel_id": "63246147"}, {"ref": "wonsukj/s4p8-step-by-step-eda-visualization-xgboost", "kernel_id": "63446302"}, {"ref": "krishnadaskv/pss4e8-mushrooms-base-model", "kernel_id": "63188791"}, {"ref": "srsses/poisonous-mushroom-classification", "kernel_id": "63726767"}, {"ref": "agrawalarpit/binary-prediction", "kernel_id": "63853330"}, {"ref": "ambrosm/pss4e8-eda-which-makes-sense", "kernel_id": "63188806"}, {"ref": "barbagrande007/bbg007-s4e8-poisonousmushrooms", "kernel_id": "63650655"}, {"ref": "adnananam/0-98-mushroom-classification", "kernel_id": "63396727"}, {"ref": "act18l/regression-use-mean-as-probability", "kernel_id": "63414535"}, {"ref": "motono0223/automl-baseline-training-gpu", "kernel_id": "63206337"}, {"ref": "motono0223/automl-baseline-inference", "kernel_id": "63223549"}, {"ref": "satyaprakashshukl/h20-mushroom-analysis", "kernel_id": "63287744"}, {"ref": "satyaprakashshukl/mushroom-classification-analysis", "kernel_id": "63198513"}, {"ref": "ravi20076/playgrounds4e08-modeblend", "kernel_id": "63478482"}, {"ref": "ravi20076/playgrounds4e08-datastore-v1", "kernel_id": "63189764"}, {"ref": "ravi20076/playgrounds4e08-lama-v1", "kernel_id": "63194846"}, {"ref": "ravi20076/playgrounds4e08-baseline-v2", "kernel_id": "63426563"}, {"ref": "ravi20076/playgrounds4e08-baseline-v1", "kernel_id": "63348665"}, {"ref": "ravi20076/playgrounds4e08-baselinesub-v1", "kernel_id": "63371758"}, {"ref": "balajivaraprasad/xgb-poisonous-mushrooms-acc-0-98505", "kernel_id": "63846662"}, {"ref": "mobinapoulaei/mushroom-t8-dslanders", "kernel_id": "63446213"}, {"ref": "mobinapoulaei/new-t8-dslanders", "kernel_id": "63477982"}, {"ref": "mobinapoulaei/mushrooms-eda-dslanders", "kernel_id": "63495068"}, {"ref": "mobinapoulaei/nn-t8-dslanders", "kernel_id": "63694440"}, {"ref": "acchiko/fast-eda-with-polars-and-sweetviz-in-en-jp", "kernel_id": "63412200"}, {"ref": "satarupadeb/classification-with-lightgbms", "kernel_id": "63290861"}, {"ref": "likhon148/s4e8-tensorflow", "kernel_id": "63967831"}, {"ref": "istiyaque6ty3/data-visualization", "kernel_id": "63534260"}, {"ref": "omidbaghchehsaraei/pss4e8-xgboost-cv-0-98491-lb-0-98508", "kernel_id": "63449176"}, {"ref": "klyushnik/simple-ensembling-technik", "kernel_id": "63219566"}, {"ref": "askingque/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63253289"}, {"ref": "suehuynh/kaggle-s4e8-xgboost-binary-class-prediction", "kernel_id": "63479883"}, {"ref": "rv1922/s4-e8-eatable-r-poisonous", "kernel_id": "63539050"}, {"ref": "rv1922/s4-e8-hard-voting-classification", "kernel_id": "63495697"}, {"ref": "rv1922/s4-e8-stra-k-fold-98", "kernel_id": "63360789"}, {"ref": "rv1922/s4-e8-auto-ml-98", "kernel_id": "63229408"}, {"ref": "sinaexe/mushroom-cls-t1-dslanders", "kernel_id": "63649720"}, {"ref": "sunyyyy07/mushroom-classification-playground", "kernel_id": "63671362"}, {"ref": "banafshehheidari/bppm-bhk-dslanders5", "kernel_id": "63348806"}, {"ref": "subhadipde2000/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63353984"}, {"ref": "igorbeketov/competition1", "kernel_id": "63471392"}, {"ref": "aaditshukla/bppm-s4e08", "kernel_id": "63493187"}, {"ref": "rubanzasilva/fast-ai-gradient-boosting", "kernel_id": "63351057"}, {"ref": "rzatemizel/single-model-baseline-lightgbm", "kernel_id": "63328344"}, {"ref": "rzatemizel/ensemble-lgbm-xgb-catb", "kernel_id": "63353940"}, {"ref": "mariusborel/mushroom-light-predictor", "kernel_id": "63330222"}, {"ref": "sabetm/dslanders-t9-poisonous-mushrooms-ms", "kernel_id": "63491886"}, {"ref": "ryrlwakala/xgboost", "kernel_id": "63420982"}, {"ref": "suryanivetha/poision-mushroom", "kernel_id": "63500598"}, {"ref": "samvelkoch/s4e8-flaml", "kernel_id": "63257435"}, {"ref": "samvelkoch/s4e8-lama", "kernel_id": "63257590"}, {"ref": "soraharada/poisonousmushrooms-baseline", "kernel_id": "63808168"}, {"ref": "abhashrai/poisonous-mushroom-classification", "kernel_id": "63203498"}, {"ref": "vidushimangal/notebookaff29c5430", "kernel_id": "63426516"}, {"ref": "willatran/ml-modeling-xgboost-pss4e8", "kernel_id": "63697034"}, {"ref": "alexchalk/poisonous-mushrooms-fastai-simple", "kernel_id": "63435276"}, {"ref": "gmudit/ps-s4e8-classification-of-poisonous-mushrooms", "kernel_id": "63351172"}, {"ref": "aspnet222/tastyeda-t4-dslanders", "kernel_id": "63280697"}, {"ref": "aspnet222/catboost-tastyortoxic-t7-dslanders", "kernel_id": "63566590"}, {"ref": "toddgardiner/s4e8-catboost-mushroom-classifier", "kernel_id": "63213286"}, {"ref": "hossein612/mushrooms-dslanders", "kernel_id": "63556619"}, {"ref": "jesusdeleon19/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63487039"}, {"ref": "francescoliveras/ps-s4-e8-eda-model-en-es", "kernel_id": "63206130"}, {"ref": "rudrakumar96/uci-ml-mushrooms-dataset-trained-model", "kernel_id": "63575327"}, {"ref": "dimitrijschulz/ps4e8-poisonousmushrooms-score-0-97775", "kernel_id": "63484614"}, {"ref": "yaminh/pss4e8-with-nn-and-optimizing-memory-0-98", "kernel_id": "63494358"}, {"ref": "ronitakhariya/eda-training", "kernel_id": "63272504"}, {"ref": "archismancoder/binarypredpoisonousmushrooms-lgbm", "kernel_id": "63452196"}, {"ref": "archismancoder/binarypredpoisonousmushrooms-tfdf", "kernel_id": "63450481"}, {"ref": "archismancoder/binarypredpoisonousmushrooms-autogluon", "kernel_id": "63689560"}, {"ref": "archismancoder/binarypredpoisonousmushrooms-lgbm-xgb-catb-ensemb", "kernel_id": "63364557"}, {"ref": "alisoleymani69/competitions-4-8-dslanders", "kernel_id": "63245003"}, {"ref": "andreygulincodim/impl-catb-xgb-lgbm-complex-data-process", "kernel_id": "63207698"}, {"ref": "nikhil029/season4-episode8", "kernel_id": "63461191"}, {"ref": "santiagosalazars/clasificacion-hongos-comestibles-series-s4e8", "kernel_id": "63430114"}, {"ref": "crisbebop/xgboost-optuna-mushrooms", "kernel_id": "63440422"}, {"ref": "crisbebop/xgboost-mushrooms-v2", "kernel_id": "63571695"}, {"ref": "crisbebop/random-forest-0-98460", "kernel_id": "63261323"}, {"ref": "crisbebop/mushrooms-eda-base-catboost", "kernel_id": "63223902"}, {"ref": "abbasseifossadat/mushroom-cls-t2-dslanders-0-98452", "kernel_id": "63219873"}, {"ref": "teranekerimova/mushroom-data-eda-cleaning", "kernel_id": "63299803"}, {"ref": "teranekerimova/eda-and-model-xgbclassifier-lightgbm", "kernel_id": "63364442"}, {"ref": "ujjawalsingh10/prediction-on-poisonous-mushrooms-xgboost-98-2", "kernel_id": "63214117"}, {"ref": "livaikira/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63983658"}, {"ref": "irfanarisani/bagging-knn-mushrom-classification", "kernel_id": "63273362"}, {"ref": "syednazmussakib/ps4e8-automl", "kernel_id": "63439646"}, {"ref": "syednazmussakib/ps4e8-data-cleaning-eda-feature-engineering", "kernel_id": "63399675"}, {"ref": "syednazmussakib/ps4e8-xgboost", "kernel_id": "63415168"}, {"ref": "syednazmussakib/neural-network-based-solution-tensorflow-98-5", "kernel_id": "63332175"}, {"ref": "syednazmussakib/ps4e8-eda-feature-engineering-randomforest", "kernel_id": "63258485"}, {"ref": "youssefhassan1234/0-95958-poisonous-mushrooms", "kernel_id": "63336373"}, {"ref": "habilamar/kaggle-pg-s4e8", "kernel_id": "63361509"}, {"ref": "vishnupriyagarige/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63231018"}, {"ref": "vishnupriyagarige/mushrooms-classification-lgbm", "kernel_id": "63478372"}, {"ref": "vishnupriyagarige/mushrooms-catboost", "kernel_id": "63468343"}, {"ref": "gyogyocat/4-8tune-gbm-ensemble", "kernel_id": "63227427"}, {"ref": "lorenzy/eda-with-all-ml-models", "kernel_id": "63363164"}, {"ref": "lorenzy/apply-29-ml-models-after-eda", "kernel_id": "63660319"}, {"ref": "kunrittyhe/poisonous-mushrooms-classification-catboost", "kernel_id": "63698868"}, {"ref": "anmatngu/binary-prediction-of-poisonous-mushroom", "kernel_id": "63454725"}, {"ref": "zhalehalipour/mushrooms-deadly-or-edible", "kernel_id": "63363608"}, {"ref": "himanshukumar7079/mushrooms-classification-xgboost", "kernel_id": "63345616"}, {"ref": "harshvardhan21/binary-prediction-of-mushroom-98-262-mcc-score", "kernel_id": "63232418"}, {"ref": "harshvardhan21/binary-prediction-of-mushroom-lgbmclassifier", "kernel_id": "63359606"}, {"ref": "masoudhezavian/poisonous-mushrooms-randomforest-dslanders", "kernel_id": "63647442"}, {"ref": "abeshith/ps4e8-mushroom-lgbm", "kernel_id": "63196410"}, {"ref": "adityarai12/poisonous-mushroom-randomforest-0-984", "kernel_id": "63729760"}, {"ref": "itasps/0-98512-autogluon-mushroomquality", "kernel_id": "63231409"}, {"ref": "parthdande/ps-season-4-ep-8-notebook2", "kernel_id": "63413187"}, {"ref": "bhanupratapbiswas/binary-prediction-of-poisonous-mushrooms-01", "kernel_id": "63607752"}, {"ref": "bhanupratapbiswas/prediction-of-mushrooms", "kernel_id": "63640316"}, {"ref": "bhanupratapbiswas/binary-prediction-of-poisonous-mushrooms-02", "kernel_id": "63636659"}, {"ref": "darkdevil18/0-98530-can-you-eat", "kernel_id": "63624683"}, {"ref": "alkidiarete/mushroom-classification", "kernel_id": "63339348"}, {"ref": "alkidiarete/h2o-poisonous-mushrooms", "kernel_id": "63346343"}, {"ref": "alkidiarete/flaml-mushroom", "kernel_id": "63388856"}, {"ref": "alkidiarete/stacked-ensemble-h20", "kernel_id": "63631170"}, {"ref": "arunklenin/ps4e8-weighted-harmonic-blending-optuna", "kernel_id": "63597945"}, {"ref": "arunklenin/ps4e8-binary-class-mathews-correlation-coeff", "kernel_id": "63467688"}, {"ref": "oran11/poisonous-mushrooms", "kernel_id": "63212131"}, {"ref": "samanfatima7/baseline-poisonous-mushrooms", "kernel_id": "63478913"}, {"ref": "maedekalantari/poisonous-mushroom-t6-dslanders", "kernel_id": "63574363"}, {"ref": "vinodkumargurjar/mushroom-edible-or-not-vinod", "kernel_id": "63589437"}, {"ref": "siddiquifaiznaeem/mushroom-0-99-accuracy-classifier", "kernel_id": "63220724"}, {"ref": "bisheshgiri/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63394582"}, {"ref": "ionutdomniteanu/poisonousmushrooms", "kernel_id": "63571145"}, {"ref": "nikitavet/poisonous-mushrooms-lightautoml-ensemble", "kernel_id": "63278841"}, {"ref": "nikitavet/poisonous-mushrooms-denselight-tuned", "kernel_id": "63213969"}, {"ref": "dmitriiming/ps4e8-nice-try", "kernel_id": "63219621"}, {"ref": "heetvekariya/eda-data-cleaning-poisonous-mushrooms-98", "kernel_id": "63226318"}, {"ref": "fredericnicholson/mushroom-soup-with-polars-one-hot-encoding-and-nn", "kernel_id": "63557059"}, {"ref": "osakanateishoku/playground-s4e8-simple-baseline", "kernel_id": "63227999"}, {"ref": "osakanateishoku/playground-s4e8-simple-baseline-xgb", "kernel_id": "63506048"}, {"ref": "zinebelhouz/poisonous-mushrooms-beginner", "kernel_id": "63299006"}, {"ref": "shadesh/lightautoml-and-neural-networks", "kernel_id": "63236342"}, {"ref": "shadesh/autogluon-binary-classification-with-visual-insigh", "kernel_id": "63728796"}, {"ref": "robintomar11/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63413813"}, {"ref": "commentsm/binary-mushroom-danger", "kernel_id": "63231361"}, {"ref": "samiraalipour/automl-poisonous-mushrooms-t6-dslanders", "kernel_id": "63606521"}, {"ref": "samiraalipour/eda-mushroom-t6-dslanders", "kernel_id": "63310835"}, {"ref": "skush01/poisonous-mushrooms", "kernel_id": "63579001"}, {"ref": "caokhoihuynh/ps4e8-mushroom-classification", "kernel_id": "63356970"}, {"ref": "amri11/poisonous-mushrooms-eda-predict", "kernel_id": "63200292"}, {"ref": "marianoweimer/score-0-9847-a-classification-of-mushrooms", "kernel_id": "63360223"}, {"ref": "anuragraj03/toxic-mushroom-predictor", "kernel_id": "63669811"}, {"ref": "sczhuoffical/basic-sample-of-submission", "kernel_id": "63256894"}, {"ref": "sczhuoffical/s-c-zhu-advanced-lightautoml", "kernel_id": "63234205"}, {"ref": "sczhuoffical/s-c-zhu-revised-gbm-models-with-combined-result", "kernel_id": "63497888"}, {"ref": "sczhuoffical/s-c-zhu-auto-ml-method-for-best-parameters", "kernel_id": "63937256"}, {"ref": "dlondmike/baseline-only-use-cap-diameter", "kernel_id": "63943147"}, {"ref": "ilayeesade/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63564299"}, {"ref": "miklpikl/poisonous-musrooms-binary-prediction", "kernel_id": "63352988"}, {"ref": "sujaymann/shrooms-classification", "kernel_id": "63204377"}, {"ref": "sujaymann/shrooms-lightgbm-optuna", "kernel_id": "63279520"}, {"ref": "sujaymann/shrooms-xgboost", "kernel_id": "63726900"}, {"ref": "baseershah/pss4e8-poisonous-mushroom-analysis-boosting", "kernel_id": "63353233"}, {"ref": "bhaveshkabdwal/randomforest-mushroom-classification", "kernel_id": "63494603"}, {"ref": "zeroiq/predictions-of-poisonous-mushrooms", "kernel_id": "63550303"}, {"ref": "danuherath/edible-mushrooms-predict-binary-classification", "kernel_id": "63259081"}, {"ref": "stealthtechnologies/lb-0-98525-multiple-lightgbm-models-ensemble", "kernel_id": "63397942"}, {"ref": "sdeogade/poisonousmushrooms", "kernel_id": "63449508"}, {"ref": "webearbears/mushroom-1", "kernel_id": "63493452"}, {"ref": "mikhailnaumov/poisonous-mushrooms-ensemble-xgb-lgb-cat-nn", "kernel_id": "63327726"}, {"ref": "goodnightz/xgboost-0-98397", "kernel_id": "63542741"}, {"ref": "akhilpm1996/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63453535"}, {"ref": "bengisuylmaz/advanced-functional-eda-and-data-preprocessing", "kernel_id": "63252926"}, {"ref": "joshuaorndorff/shroom-time", "kernel_id": "63664822"}, {"ref": "ravaghi/s04e08-mushroom-classification-lightgbm", "kernel_id": "63354747"}, {"ref": "ravaghi/s04e08-mushroom-classification-xgboost", "kernel_id": "63356010"}, {"ref": "ravaghi/s04e08-mushroom-classification-histgb", "kernel_id": "63405439"}, {"ref": "ravaghi/s04e08-mushroom-classification-ensemble", "kernel_id": "63494467"}, {"ref": "ravaghi/s04e08-mushroom-classification-neural-networks", "kernel_id": "63462558"}, {"ref": "ravaghi/s04e08-mushroom-classification-autogluon", "kernel_id": "63525982"}, {"ref": "ravaghi/s04e08-mushroom-classification-ag-5-fold", "kernel_id": "63533520"}, {"ref": "manaswiyahello/s4e8-binary-prediction-of-poisonous-mushrooms", "kernel_id": "63310542"}, {"ref": "shraddhatripathi1906/binary-prediction-on-poisonous-mushrooms", "kernel_id": "63582341"}, {"ref": "alinadim/poisonous-or-edible-lgbm-dslanders", "kernel_id": "63586845"}, {"ref": "ghulamhiader/binary-prediction-of-poisonous-mushrooms1", "kernel_id": "63404533"}, {"ref": "xxxzedmy/pss4e8-lgbm-baseline", "kernel_id": "63197795"}, {"ref": "mohamedelsayedaffan/mushrooms-xgboost", "kernel_id": "63373061"}, {"ref": "jyotip123/binary-prediction-of-mushrooms", "kernel_id": "63279828"}, {"ref": "roqayyeh/poisonous-or-edible-dslanders", "kernel_id": "63306636"}, {"ref": "taichiuemura/ps4e8", "kernel_id": "63189319"}, {"ref": "abdmental01/lgbm-cat-xgb-autogulon-multiple-models", "kernel_id": "63647279"}, {"ref": "abdmental01/multi-models-poisonous-mushrooms", "kernel_id": "63316270"}, {"ref": "sojibbhattacharjee/poisonous-mushroom", "kernel_id": "63358628"}, {"ref": "lokeswar56/binary-prediction", "kernel_id": "63855033"}, {"ref": "ancorufio/comparison-of-auto-eda-tools-on-titanic-ds", "kernel_id": "63817821"}, {"ref": "igorvolianiuk/binary-mushrooms-lgbm", "kernel_id": "63303530"}, {"ref": "alirasouli/poisonous-mushrooms-t8-dslanders", "kernel_id": "63564986"}, {"ref": "adampsu/top-20-triple-vote-ensemble", "kernel_id": "63280833"}, {"ref": "saleepshrestha/poisonous-mushroom-prediction", "kernel_id": "63361122"}, {"ref": "ismailaliahmed/mushroom-notebook-competition", "kernel_id": "63285384"}, {"ref": "mahdieh002/mushroom-lightgbm-model-dslanders", "kernel_id": "63596668"}, {"ref": "mahdieh002/eda-t4-dslanders", "kernel_id": "63244016"}, {"ref": "satyajeetrai/poisonous-mushrooms", "kernel_id": "63227892"}, {"ref": "arpitamallik23/mushroom-classification", "kernel_id": "63323370"}, {"ref": "yteshima/ps4s8-ipywidgets-plotly-xgb-et-al", "kernel_id": "63289069"}, {"ref": "yorkyong/s4e8-predict-poisonous-mushrooms-lgbm", "kernel_id": "63298852"}, {"ref": "shariq20220/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63210798"}, {"ref": "bashithashamila/sequential-model-0-98277", "kernel_id": "63808782"}, {"ref": "mrecho/mushroom-prediction-with-xgboost-s4e8", "kernel_id": "63355468"}, {"ref": "mihailodin1/s4e8competition", "kernel_id": "63221343"}, {"ref": "draganpinsent98/poisonous-mushroom-competition-python", "kernel_id": "63651618"}, {"ref": "ansh15880/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63855930"}, {"ref": "metinmekiabullrahman/mushroom-edibility-classification-acc-99", "kernel_id": "63258002"}, {"ref": "shauryadusht/poisonous-mushroom-classification", "kernel_id": "63234384"}, {"ref": "vigneshalagappan/1-binary-prediction-of-poisonous-mushrooms", "kernel_id": "63364060"}, {"ref": "donsalehi/poisonous-mushrooms-dslanders9", "kernel_id": "63502297"}, {"ref": "harfordljames/poison-mushroom", "kernel_id": "63342798"}, {"ref": "umartolibov/poisonous-mushrooms-classifier", "kernel_id": "63377160"}, {"ref": "grealishni/pss4e8-lightautoml", "kernel_id": "63198106"}, {"ref": "grealishni/ps4e8-starter-notebook-visualization", "kernel_id": "63219227"}, {"ref": "quantum09/ps4e8-eda-mushrooms-vs", "kernel_id": "63196952"}, {"ref": "bradblackbourn/ps4e8-mushroom-classification-fastai", "kernel_id": "63466507"}, {"ref": "karamel03/how-to-use-mcc-step-by-step", "kernel_id": "63246304"}, {"ref": "karamel03/mushroom-h2o-easy", "kernel_id": "63423398"}, {"ref": "komeilrhn/mushroom-cls-t3-dslanders", "kernel_id": "63518630"}, {"ref": "poojakuniyal/poisonous-mushroom-pred", "kernel_id": "63816591"}, {"ref": "poojakuniyal/poisonous-mushroom-prediction", "kernel_id": "63816708"}, {"ref": "fancifulcrow/ps-s04e08", "kernel_id": "63354954"}, {"ref": "pieterelsharouni/mushroom-notebook", "kernel_id": "63842964"}, {"ref": "eliyahusanti/ps4e8-automl-fedot-8-hours", "kernel_id": "63189674"}, {"ref": "eliyahusanti/ps4e8-automl-fedot-xgboost-10", "kernel_id": "63234153"}, {"ref": "haldonmez/mushroom-poison-classification-analysis", "kernel_id": "63245142"}, {"ref": "ricemaster/first-attempt", "kernel_id": "63680753"}, {"ref": "reyhanehassani/catboost-dslanders", "kernel_id": "63609417"}, {"ref": "reyhanehassani/binary-prediction-of-poisonous-mushrooms-dslanders", "kernel_id": "63609082"}, {"ref": "monish38/mushroom-new-notebook", "kernel_id": "63373308"}, {"ref": "monish38/it-shows-99-train-98-test-but-not-in-sub-why", "kernel_id": "63356517"}, {"ref": "ahmedchakroun/binary-prediction-of-poisonous-mushrooms", "kernel_id": "63509045"}, {"ref": "pravintakpire/lightgbm-tuning-parameter-poisonous-mushroom", "kernel_id": "63304210"}, {"ref": "marius2303/top-18-binary-prediction-of-pm-lgbmc", "kernel_id": "63969005"}, {"ref": "minhtantran/funny-mushroom-or-not", "kernel_id": "63462697"}, {"ref": "danishyousuf19/binary-prediction-of-poisonous-mushrooms-xgb", "kernel_id": "63203431"}, {"ref": "fatimafiza/mushroom-machine-learning-classification", "kernel_id": "63263652"}, {"ref": "esspy99/binary-classification", "kernel_id": "63354324"}, {"ref": "dileeppatchaone/poisonous-mushroom-g-o-a-t", "kernel_id": "63502754"}, {"ref": "soroushsaadat81/mushroompred-t6-dslanders", "kernel_id": "63600525"}, {"ref": "tomkrger/softvoting-stackedgeneralization-xgb-lgbm-cat-hist", "kernel_id": "63882206"}, {"ref": "alialmulla97/poisonous-mushrooms-predictor-mcc-score-97-79", "kernel_id": "63361308"}, {"ref": "yrmoore/single-lightgbm-model", "kernel_id": "63623769"}, {"ref": "manswad/download-dataset", "kernel_id": "63414854"}, {"ref": "omid16/mushroom-classification-dslanders", "kernel_id": "63654504"}, {"ref": "nastaranzandi/mushroom-neuralnetwork-dslanders", "kernel_id": "63471684"}, {"ref": "amirmeymandi/mushroom-cls-t5-dslanders", "kernel_id": "63283846"}, {"ref": "hasanbedrtahakara/xgboost-predicting-spore-print-color-optuna", "kernel_id": "63851205"}, {"ref": "aryagokh/poisonous-or-edible-mushrooms-modified", "kernel_id": "63640018"}, {"ref": "ahmedgaitani/poisonous-mushrooms-code-lgbm", "kernel_id": "63556512"}, {"ref": "hamchicchi/edible-mushrooms-prediction-using-polars-0-9849", "kernel_id": "63637793"}, {"ref": "tyloftin/poisonous-mushroom-predictor", "kernel_id": "63617879"}, {"ref": "rudenkobogdan/ps4e8-modeling-of-poisonous-mushrooms", "kernel_id": "63473190"}, {"ref": "ouside/xgboost-model-poisonous-mushrooms", "kernel_id": "63448492"}, {"ref": "pjay6120/poisonousmushroom-eda-xgb-brf", "kernel_id": "63542290"}, {"ref": "smailuuz/mushroom-class", "kernel_id": "63699610"}, {"ref": "deonkim/ps4e8-single-model-catboost-only", "kernel_id": "63517461"}, {"ref": "octahedronbb/poisonous-mushroom", "kernel_id": "63851687"}, {"ref": "anatoliitsyplenkov/gpu-accelerated-xgboost-in-r", "kernel_id": "63251613"}, {"ref": "ponthakornsodchun/3-min-mushroom-xgboost-with-custom-mcc", "kernel_id": "63290374"}, {"ref": "melnajkar/mushroom-classification-dslanders", "kernel_id": "63454591"}, {"ref": "shayanshojaee/eda-data-analytics-shrooms-t4-dslanders", "kernel_id": "63621505"}, {"ref": "felipebbranco/poisonous-mushrooms-analysis", "kernel_id": "63376281"}, {"ref": "debjanyghosharonno/mashroom-classification", "kernel_id": "63636568"}, {"ref": "galaxyemperor25/my-first-kaggle-notebook", "kernel_id": "63506789"}, {"ref": "malakasandakal/binary-prediction-of-poisonous-mushrooms-mlksndkl", "kernel_id": "63549503"}, {"ref": "mrcatism/first-project", "kernel_id": "63552118"}, {"ref": "marwanashref/mushrooms-classification-0-98422", "kernel_id": "63690717"}, {"ref": "kparthiban007/mushroom-binary-classification", "kernel_id": "63800210"}, {"ref": "falrrema/r-initial-eda-with-tidymodels-0-98468", "kernel_id": "64356338"}, {"ref": "thesarfaraz/ps4-8-simple-sklearn-pipeline", "kernel_id": "64696961"}, {"ref": "cv13j0/a-model-to-identify-poisonous-mushrooms", "kernel_id": "64314990"}, {"ref": "angelry/shrooms-classification-xgboost-optuna-0-98126", "kernel_id": "64808066"}, {"ref": "sejaljoshi/poison-mushroom-my-first-python-project", "kernel_id": "64441219"}, {"ref": "krulll/simple-baseline-mushroom-predictions-0-9815", "kernel_id": "64371796"}, {"ref": "malyaj/mushrooms-i-want-to-eat", "kernel_id": "64326973"}, {"ref": "siukeitin/ps-s4e8-cuml-svc-on-the-original-data-model", "kernel_id": "64678231"}, {"ref": "gauravsaha/0-98502-55-146-ensemble-of-kaggle-s-top-3-models", "kernel_id": "64918399"}, {"ref": "surajwate/poisonous-mushroom", "kernel_id": "64956571"}, {"ref": "stephenmurph/clean-schrooms-for-autogluon-top-20", "kernel_id": "64736922"}, {"ref": "mtinglof/i-don-t-feel-so-good", "kernel_id": "64167505"}, {"ref": "muslump/parameter-tunning-for-poisonous-mushrooms", "kernel_id": "64711898"}, {"ref": "muslump/stacking-model-for-poisonous-mushrooms", "kernel_id": "64827404"}, {"ref": "rafaelbandoni/playground-series-poisonouss-mushrooms", "kernel_id": "64342129"}, {"ref": "nickfecondo/shrooms", "kernel_id": "64404032"}, {"ref": "ganeshstemx/pss4e8-poisonous-mushrooms-chapter-one", "kernel_id": "64088424"}, {"ref": "aadityagaikwad/toxic-toadstools-predicting-poisonous-mushrooms", "kernel_id": "64284493"}, {"ref": "pierrejeanne/muschroom-classification-acc-0-99", "kernel_id": "64332745"}, {"ref": "agshiv92/high-performance-model-blending", "kernel_id": "64123281"}, {"ref": "chrisjm80/binary-prediction-of-poisonous-mushrooms-xgb", "kernel_id": "64114623"}, {"ref": "rafaelrangel/binary-prediction-of-poisonous-mushrooms-keras", "kernel_id": "64830933"}, {"ref": "adityapadia/shroooooooms", "kernel_id": "64900523"}, {"ref": "giriguro/mashroom-v5-0", "kernel_id": "64195995"}, {"ref": "realabyszero/poisonousmushrooms-randomforestclassifier", "kernel_id": "64283407"}, {"ref": "avinandanpal/will-you-eat-that-mushroom", "kernel_id": "64818765"}, {"ref": "udaken10/delete-noize", "kernel_id": "64717571"}, {"ref": "mohammedragabsaad/playground-s4-e8-pytorch-98-accuracy-97-mcc", "kernel_id": "64591383"}, {"ref": "antoinebrias/stacking-shrooms-to-reach-the-nirvana-maybe", "kernel_id": "64934690"}, {"ref": "miladagdam/mushroom-classification-with-mlp", "kernel_id": "64842964"}, {"ref": "omadbekmeliev/mushrooms-xgboost", "kernel_id": "64047288"}, {"ref": "purushottamraj/binary-prediction-dask-tuning-hyperparameter", "kernel_id": "64487771"}, {"ref": "davinascimento/poisonous-mushrooms-classification", "kernel_id": "64830886"}, {"ref": "mirglobalacademy/notebook40c06ce585", "kernel_id": "64749929"}, {"ref": "rishabhbhartiya/prediction-using-histgradientboosting-classifier", "kernel_id": "64490372"}, {"ref": "edmund24/binary", "kernel_id": "64172309"}, {"ref": "htonmoy19/mcc-0-9742-binary-prediction-of-mushrooms", "kernel_id": "64771427"}, {"ref": "conradkleykamp/poisonous-mushroom-prediction-lgbm", "kernel_id": "64836990"}, {"ref": "swarnabh31/playgroundseries-the-mushroom-problem-acc-99", "kernel_id": "64807487"}, {"ref": "sonbomme/0-98530-can-you-eat", "kernel_id": "64758047"}, {"ref": "hilaltortumluolu/binary-prediction-of-poisonous-mushrooms-xgboost", "kernel_id": "64130016"}, {"ref": "hosseinbehjat/eda-for-pss4-e8", "kernel_id": "64378902"}, {"ref": "aerojasm/playground-series-s4e8-mushroom-classification", "kernel_id": "64901312"}, {"ref": "subhanjan33/mastering-da-ml-8-models-notebook", "kernel_id": "64105514"}, {"ref": "edsonsanchezbullon/mushroom-binary-classification", "kernel_id": "64954281"}, {"ref": "mobinapoulaei/autogloun-t8-dslanders", "kernel_id": "64116443"}, {"ref": "mobinapoulaei/neural-network-with-embedding-layer", "kernel_id": "64350295"}, {"ref": "satyasanjayshah/mushroom-prediction", "kernel_id": "64662136"}, {"ref": "drsdeepalakshmi/stacking-classifier-using-xgboost-catboost-and-rf", "kernel_id": "64885546"}, {"ref": "anirudhshankar14/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64813697"}, {"ref": "likhon148/voting-clf-xgb-lgb-catb", "kernel_id": "64223403"}, {"ref": "seyaduraja/poisonous-mushroom-comp", "kernel_id": "64195243"}, {"ref": "omidbaghchehsaraei/pss4e8-random-forest-in-xgboost", "kernel_id": "64309821"}, {"ref": "niharikaamritkar/binaryprediction-poisonous-mushrooms", "kernel_id": "64265821"}, {"ref": "liza123aaa/vote-xgboost-lgbm-catboost", "kernel_id": "64188344"}, {"ref": "alexkalita/easy-autogluon-roc-auc", "kernel_id": "64337109"}, {"ref": "devbachani/eda-and-binary-prediction-of-poisonous-mushroom", "kernel_id": "64212608"}, {"ref": "jacobrho/using-xgb-can-i-eat-this-mushroom", "kernel_id": "64553440"}, {"ref": "rv1922/s4-e8-xgb-cat-lgbm", "kernel_id": "64443022"}, {"ref": "rv1922/s4-e8-stacking-classification", "kernel_id": "64752427"}, {"ref": "rv1922/s4-e8-hard-voting", "kernel_id": "64644813"}, {"ref": "rv1922/s4-e8-xgb", "kernel_id": "64895944"}, {"ref": "rubanzasilva/autogluon-edible-or-poisonous", "kernel_id": "64285726"}, {"ref": "praveenkumar813/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64414983"}, {"ref": "chetanbharambe/predicting-poisonous-mushrooms-cb", "kernel_id": "64805231"}, {"ref": "ahmed3okka/pg-s4-e8-eda-modeling-submission", "kernel_id": "64191258"}, {"ref": "gkanamoto/simple-model-catboost", "kernel_id": "64706416"}, {"ref": "sabetm/dslanders-t9-autogloun-msa", "kernel_id": "64514455"}, {"ref": "yahiaomar/now-you-can-eat-mushrooms-acc-0-9922", "kernel_id": "64335303"}, {"ref": "mehyarmlaweh/0-9842-lightgbm-poisonous-mushrooms", "kernel_id": "64828631"}, {"ref": "sabyrbazarymbetov/mushroom-xgbclassifier-5-fold-cv-adaboost-rf", "kernel_id": "64961906"}, {"ref": "kalpeshbhoir/xgboost-mushroom-classification-analysis", "kernel_id": "64700440"}, {"ref": "a3amat02/poisonous-mushrooms-detection-using-random-forest", "kernel_id": "64961925"}, {"ref": "msjimenezc/hongos-venenosos", "kernel_id": "64536762"}, {"ref": "inancolak/the-magic-of-mushrooms-beginners", "kernel_id": "64955204"}, {"ref": "rudrakumar96/binary-prediction-of-poisonous-mushrooms-0-98504", "kernel_id": "64207037"}, {"ref": "asaadkhaja99/poisonous-mushroom-classification", "kernel_id": "64783387"}, {"ref": "mohammedallayl/prediction-in-deep", "kernel_id": "64639327"}, {"ref": "mohammedallayl/learn-none-values-in-deep-98-4-accuracy", "kernel_id": "64826608"}, {"ref": "nikola6453/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64933303"}, {"ref": "mathewshuvarikov/lightautoml-poisonous-mushrooms-solution", "kernel_id": "64717720"}, {"ref": "nazimcherpanov/pg-s4e08-polars-mlp-xgboost", "kernel_id": "64365425"}, {"ref": "teranekerimova/nn-pytorch-mushrooms", "kernel_id": "64528327"}, {"ref": "ryanle13/binary-prediction-of-poisonous-mushrooms-0-9842", "kernel_id": "64168718"}, {"ref": "trupologhelper/mario-s-nightmare-15-th-place-solution", "kernel_id": "64187962"}, {"ref": "kaushikasok/binary-prediction-poisonousmushrooms-xgboost", "kernel_id": "64066901"}, {"ref": "johnmelling/poison-mushroom-classification", "kernel_id": "64198477"}, {"ref": "lorenzy/apply-29-ml-models-eda-for-mushroom", "kernel_id": "64666164"}, {"ref": "tanishkpatil/binary-prediction-of-poisonous-mashrooms", "kernel_id": "64834063"}, {"ref": "kunrittyhe/poisonous-mushrooms-classification-xgb", "kernel_id": "64278521"}, {"ref": "rabbitx86/begginer-lightgbm-optuna-score-0-98485", "kernel_id": "64187446"}, {"ref": "zhalehalipour/dslanders-mushrooms-deadly-or-edible-2", "kernel_id": "64147526"}, {"ref": "masoudhezavian/binary-prediction-of-poisonous-rfclf-dslanders", "kernel_id": "64097937"}, {"ref": "shreyasdasari7/are-mushrooms-edible-high-accuracy-99-13", "kernel_id": "64467320"}, {"ref": "yatinaggarwal033/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64386663"}, {"ref": "fratzcan/mushroom-classification-mcc-0-985", "kernel_id": "64303538"}, {"ref": "itasps/autogluon-0-98515-mushroomquality", "kernel_id": "64390627"}, {"ref": "avicenne/prediction-for-poisonous-mushrooms-usual-classific", "kernel_id": "64928545"}, {"ref": "snehalkhandewale/to-eat-or-not-to-eat", "kernel_id": "64892853"}, {"ref": "readinghui/tabular-s4e8-mushroom-model-predictions", "kernel_id": "64851401"}, {"ref": "muranstr/baseline-deep-learning", "kernel_id": "64176207"}, {"ref": "l00ll000lll0/binary-prediction-eda-xgb-catb-lgbm-ensemble", "kernel_id": "64751125"}, {"ref": "lynn2004/mushroom-classification", "kernel_id": "64743148"}, {"ref": "omarelzeki1/anyone-craving-wild-mushrooms-eda-ohe-nn", "kernel_id": "64207131"}, {"ref": "atribhattacharjee/poisonous-mushrooms-binary-pred", "kernel_id": "64149480"}, {"ref": "sukannadas/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64617064"}, {"ref": "mohamedmaher5/can-eat-mushrooms-xgb-acc-of-98-375", "kernel_id": "64111804"}, {"ref": "marydata/knn-imputer-mod-playground-august-mushrooms", "kernel_id": "64721838"}, {"ref": "zehrarahimian/automl-t8-dslanders-246674", "kernel_id": "64073931"}, {"ref": "sukhmansaran/binary-prediction-of-poisonous-mushrooms-xgboost", "kernel_id": "64763572"}, {"ref": "sukhmansaran/binary-prediction-of-poisonous-mushrooms-rf", "kernel_id": "64791043"}, {"ref": "nayansubedi1/xgboost-optuna", "kernel_id": "64042133"}, {"ref": "dmitriiming/ps4e8-stacking", "kernel_id": "64180482"}, {"ref": "fredericnicholson/nn-polars-pipe-with-cv-and-target-encoding", "kernel_id": "64438789"}, {"ref": "fredericnicholson/bayes-help-me", "kernel_id": "64916063"}, {"ref": "litsea/ps4e8-mushrooms-cleaning-tensorflow", "kernel_id": "64167471"}, {"ref": "litsea/ps4e8-fe-tensorflow-keras", "kernel_id": "64953702"}, {"ref": "memoonabasharat/mushroom-classification-analysis", "kernel_id": "64876581"}, {"ref": "magewade/binary-mushrooms-simple-catboost", "kernel_id": "64365074"}, {"ref": "mohitgupta12/binary-prediction-of-poisonous-mushrooms-kernel", "kernel_id": "64658180"}, {"ref": "mohitgupta12/binary-prediction-of-poisonous-mushrooms-latest", "kernel_id": "64666082"}, {"ref": "mohitgupta12/binary-prediction-of-poisonous-mushrooms-final", "kernel_id": "64666849"}, {"ref": "dropdead072/mushroom-lama-notebook", "kernel_id": "64349155"}, {"ref": "prathamjyotsingh/binary-mushroom", "kernel_id": "64735379"}, {"ref": "riyosha/s4e8-0-98513-mcc-nn-xgboost-lightgbm", "kernel_id": "64260357"}, {"ref": "yazeedalsahouri03/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64947084"}, {"ref": "younusmohamed/19-07-xgboost", "kernel_id": "64308865"}, {"ref": "younusmohamed/19-11-lgbm-nb", "kernel_id": "64652776"}, {"ref": "younusmohamed/19-19-ensemble-of-top-2", "kernel_id": "64905973"}, {"ref": "clemwo/competition-poisonous-mushrooms", "kernel_id": "64454581"}, {"ref": "asavenok/poisonousmushroomsclassification", "kernel_id": "64996068"}, {"ref": "anuragraj03/mushroom-compettion", "kernel_id": "64314317"}, {"ref": "aliabdelmenam/poisonous-mushroomsv3", "kernel_id": "64960142"}, {"ref": "aliabdelmenam/poisonous-mushrooms", "kernel_id": "64907433"}, {"ref": "danielgurwindas/binary-prediction-of-poisonous-mushroom", "kernel_id": "64499703"}, {"ref": "abhishekmaher/shroomss", "kernel_id": "64049805"}, {"ref": "torikull/binary-prediction-of-mushroom", "kernel_id": "64801577"}, {"ref": "torikull/binary-poison-detection-accuracy-98-6", "kernel_id": "64473272"}, {"ref": "amankumarjha2020/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64495328"}, {"ref": "ravaghi/mushroom-classification-10th-place-solution", "kernel_id": "64140083"}, {"ref": "rayuga2503/model-to-identify-poisonous-mushrooms", "kernel_id": "64762805"}, {"ref": "alinadim/poisonous-edible-xgb-dslanders", "kernel_id": "64226234"}, {"ref": "alinadim/mushroom-poisonous-edible-autogluon", "kernel_id": "64386388"}, {"ref": "akinduhiman/poisonous-mushrooms-ps4e8-lgbm-xgb-catb-meta", "kernel_id": "64197829"}, {"ref": "akinduhiman/poisonous-mushrooms-ps4e8-just-xgb", "kernel_id": "64283759"}, {"ref": "akinduhiman/poisonous-mushrooms-ps4e8-just-catboost", "kernel_id": "64262629"}, {"ref": "guilhermepoliveira/ps4e8-cleaning-eda-one-hot-encoding", "kernel_id": "64243290"}, {"ref": "mcoram/notebookca8a9c846d", "kernel_id": "64345348"}, {"ref": "hassaneskikri/ps4e8-binary-prediction-of-poisonous-mushrooms", "kernel_id": "64203147"}, {"ref": "yashpratap914/prediction-of-poisonous-mushroom", "kernel_id": "64737197"}, {"ref": "swekerr/s4-e8-poisonous-mushrooms-lgbm-on-gpu", "kernel_id": "64317634"}, {"ref": "jgacho/started-with-poisonous-mushrooms-prediction", "kernel_id": "64660447"}, {"ref": "sowmyajayakanth/mushroomclassification-eda-mlmodels", "kernel_id": "64264403"}, {"ref": "somendrew/mushroom-prediction-0-98513-with-optuna", "kernel_id": "64822889"}, {"ref": "omarsenosy/toward-eating-healthy-mushrooms-omar-senousy", "kernel_id": "64499258"}, {"ref": "zeyadsayedadbullah/xgboost-vs-catboost-toxic-mushroom-prediction", "kernel_id": "64976985"}, {"ref": "ancorufio/solving-mushrooms-problem-using-xgb-optuna", "kernel_id": "64051955"}, {"ref": "mdusmanhanif/prediction-of-poisonous-mushrooms-ml-techniques", "kernel_id": "64111846"}, {"ref": "vineetgupta2023/mushroom-binary-prediction-score-0-98502", "kernel_id": "64272872"}, {"ref": "solomonajaero/poisonous-mushroom-prediction", "kernel_id": "64916860"}, {"ref": "yousifshaheen/mashroom-competition", "kernel_id": "64905896"}, {"ref": "mridulchdry17/xgboost-98-378", "kernel_id": "64086528"}, {"ref": "mdalhadikhan/binaryplayground-easiest-solution", "kernel_id": "64076333"}, {"ref": "mhsn21/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64256972"}, {"ref": "darebaaz/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64996659"}, {"ref": "vishalpnaik/mushroom-classification-feature-eng-rf", "kernel_id": "64932361"}, {"ref": "koshijain/classification-of-mushroom-using-xgb", "kernel_id": "64752828"}, {"ref": "abdullah0a/mushroom-edibility-prediction-data-science", "kernel_id": "64774966"}, {"ref": "abdullah0a/99-accuracy-mushroom-prediction", "kernel_id": "64832860"}, {"ref": "sudhanvahg/mushroom-classification-98-accuracy", "kernel_id": "64559629"}, {"ref": "vbslchanakya/binary-prediction-of-poisonous-stacked-ensemble", "kernel_id": "64210825"}, {"ref": "ratnajitdhar08/binary-classification-on-poisonous-mushroom", "kernel_id": "64018886"}, {"ref": "rassiem/prediction-of-poisonous-mushroom", "kernel_id": "64300280"}, {"ref": "krrishcoder/notebook3b13f2ad7a", "kernel_id": "64869940"}, {"ref": "omarsorour/mashroomprediction", "kernel_id": "64271908"}, {"ref": "surekhaberlin/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64203788"}, {"ref": "anshulm257/mushroom-edibility-eda-ensemble-0-98530", "kernel_id": "64399658"}, {"ref": "draganpinsent98/xgboost-binary-prediction-of-mushrooms", "kernel_id": "64457082"}, {"ref": "rithvikmuthyapu/ps4e8-ensamble-lgbm-xgb-catb-nn", "kernel_id": "64238049"}, {"ref": "vishalpatwa/binary-mushroom-prediction", "kernel_id": "64860649"}, {"ref": "mnsm92/97-37-mashroom", "kernel_id": "64808419"}, {"ref": "aditi2005/lightgbm-catboost", "kernel_id": "64869465"}, {"ref": "mainak2056/poisonous-or-edible-score-0-98347", "kernel_id": "64259643"}, {"ref": "strados/mushroom-predict", "kernel_id": "64273779"}, {"ref": "shruthichandrababu/mushroom-gpu-1", "kernel_id": "64367527"}, {"ref": "quantum09/super-mario-only-eats-edible-mushrooms", "kernel_id": "64291021"}, {"ref": "ahmedashraf299/sample-submission-using-rf-model", "kernel_id": "64895126"}, {"ref": "bradblackbourn/ps4e8-mushroom-class-fastai-w-minimal-pre-pro", "kernel_id": "64876171"}, {"ref": "bradblackbourn/ps4e8-mushroom-classification-fastai-w-pre-pro", "kernel_id": "64876010"}, {"ref": "bradblackbourn/ps4e8-gradient-boosting-w-pre-pro", "kernel_id": "64994657"}, {"ref": "karamel03/0-98501-mushroom-polars-bayesian-optimization", "kernel_id": "64182541"}, {"ref": "ayushgharat17/binary-classification-of-poisonous-mushrooms", "kernel_id": "64412123"}, {"ref": "ronnyg123/nns-with-torch", "kernel_id": "64301328"}, {"ref": "masoudmiyanji/97-accuracy-toxic-mushrooms-with-pytorch", "kernel_id": "64013601"}, {"ref": "rajagrawal7089/poision-mushroom-logistic-regression", "kernel_id": "64623276"}, {"ref": "abscond/ps4e8-binary-class-mathews-correlation-coeff", "kernel_id": "64070864"}, {"ref": "ricemaster/third-attempt", "kernel_id": "64020608"}, {"ref": "sayanroy11/mushroom-binary", "kernel_id": "64980323"}, {"ref": "zjzhao1002/poisonous-mushroom-classification", "kernel_id": "64702952"}, {"ref": "zjzhao1002/poisonous-mushroom-classification-nn", "kernel_id": "64808254"}, {"ref": "davidbao03/mushroom-binary-prediction", "kernel_id": "64284845"}, {"ref": "aquibahmad7/binary-classification-w-ensemble-model-top-24", "kernel_id": "64495400"}, {"ref": "marius2303/top-17-binary-prediction-of-pm-autogluon", "kernel_id": "64843695"}, {"ref": "ouaillaamiri02/0-97662-mushroom-classification-analysis", "kernel_id": "64716735"}, {"ref": "danishyousuf19/using-neural-networks-for-classifying-mushrooms", "kernel_id": "64170268"}, {"ref": "tanwabhi003007/notebook1c788bbeb7", "kernel_id": "64713007"}, {"ref": "michaeltoschenko/autogluon-for-laptops", "kernel_id": "64383259"}, {"ref": "xiaosheng23332/binary-mushroom", "kernel_id": "64819596"}, {"ref": "mennakhalifa04/prediction-of-poisonous-mushrooms", "kernel_id": "64846709"}, {"ref": "tomkrger/lightning-shrooms-on-ray", "kernel_id": "64983518"}, {"ref": "narkismunassa/notebookff5209b44c", "kernel_id": "64809698"}, {"ref": "ellenyou/lb-0-98525-multiple-lightgbm-models-ensemble", "kernel_id": "64881816"}, {"ref": "thonenyangal/binary-prediction-of-poisonous-mushroom-with-nn", "kernel_id": "64207902"}, {"ref": "thonenyangal/binary-prediction-of-poisonous-mushroom-ensemble", "kernel_id": "64885868"}, {"ref": "vishalyginny/binary-prediction-eda", "kernel_id": "64482878"}, {"ref": "vishalyginny/mushroom-classification", "kernel_id": "64747968"}, {"ref": "shadinalmubark/mashroom-competition", "kernel_id": "64348325"}, {"ref": "faizkhan7/poisonous-mushrooms-prediction", "kernel_id": "64809722"}, {"ref": "jennyzzhu/prediction-poisonous-mushrooms", "kernel_id": "64755043"}, {"ref": "lshddd/mushroom-rmarkdown-mlr3", "kernel_id": "64318610"}, {"ref": "shubham2prakash/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64287801"}, {"ref": "nilkiprasadee1/binary-prediction-of-poisonous-mushroom", "kernel_id": "64819611"}, {"ref": "alaawaelmo/poisonous-mushroom-xgb", "kernel_id": "64231558"}, {"ref": "aryagokh/softvote1-poi-mush", "kernel_id": "64702747"}, {"ref": "aryagokh/now-eat-mushrooms-0-985", "kernel_id": "64468775"}, {"ref": "aryagokh/fork-poi-mush-autogluon-10-hrs", "kernel_id": "64437483"}, {"ref": "aryagokh/0-98505-mcc-eatmushrooms-10hrs-automl", "kernel_id": "64426388"}, {"ref": "aryagokh/poi-mush-autogluon-5-hrs", "kernel_id": "64347560"}, {"ref": "aryagokh/poi-mush-autogluon-6-hrs", "kernel_id": "64358701"}, {"ref": "aryagokh/binary-prediction-of-poisonous-mushrooms-lightgbm", "kernel_id": "64294998"}, {"ref": "aryagokh/poimush-baseline-autogluon", "kernel_id": "64331601"}, {"ref": "aryagokh/poi-mush-updated-improved", "kernel_id": "64247388"}, {"ref": "aryagokh/lgb-on-anna-s-notebook-poimush", "kernel_id": "64248988"}, {"ref": "aryagokh/poimush-tryna-update-lgbm", "kernel_id": "64211794"}, {"ref": "aryagokh/poi-mush-lightgbm-update", "kernel_id": "64233743"}, {"ref": "aryagokh/mushpois-x1", "kernel_id": "64189358"}, {"ref": "aryagokh/fork-of-poimush-baseline-autogluon", "kernel_id": "64991592"}, {"ref": "mwrites/fastai-10min-7-epochs-baseline-model", "kernel_id": "64455568"}, {"ref": "mwrites/fast-and-poisonous-simple-tricks-to-iterate", "kernel_id": "64154796"}, {"ref": "mwrites/experimenting-with-residual-connections", "kernel_id": "64913864"}, {"ref": "mushei/98-2-accuracy-in-poisonous-mushroom-prediction", "kernel_id": "64951259"}, {"ref": "rudenkobogdan/ps4e8-dl-model-testing", "kernel_id": "64260332"}, {"ref": "nayounglee2/binary-prediction-of-poisonous-mushrooms", "kernel_id": "64290028"}, {"ref": "ashwanisah1137/binary-classification-of-poisonous-mushrooms", "kernel_id": "64999428"}, {"ref": "catatanemik/catboost-for-mushrooms-case-mcc-0-979", "kernel_id": "64136697"}, {"ref": "devmalyakalamuri/mushroom-poisonous-or-edible-knn-and-nn", "kernel_id": "64415406"}, {"ref": "devmalyakalamuri/mushroom-poisonous-or-edible-knn-and", "kernel_id": "64866998"}, {"ref": "radhapyarikhumanthem/mushroom", "kernel_id": "64306611"}, {"ref": "swandipsingha/swandip-score-98502", "kernel_id": "64881555"}, {"ref": "dherekalejandro/comestible-o-venenoso", "kernel_id": "64441971"}, {"ref": "mwajahathussain/diabetes-prediction", "kernel_id": "64706723"}, {"ref": "vedantpol/predicting-poisonous-mushrooms-using-deep-learning", "kernel_id": "64709407"}, {"ref": "abhishekgupta36/toxic-or-edible-mushroom-predictor", "kernel_id": "64038454"}, {"ref": "kulajilawanya/binarypredictionofpoisonousmushrooms8125", "kernel_id": "64726465"}, {"ref": "shayanshojaee/shrooms-eda-dslanders-t4", "kernel_id": "64225945"}, {"ref": "gingerz/s4e8-binary-prediction-poisonous-mushrooms", "kernel_id": "64137780"}, {"ref": "mrcatism/nn-binary-prediction-of-poisonous-mushrooms", "kernel_id": "64123023"}, {"ref": "nouranmahmoudd/prediction-using-rf", "kernel_id": "64821375"}, {"ref": "lawyerle01/poisonous-mushrooms-lgbm", "kernel_id": "64571915"}, {"ref": "jeynii/notebook0922213743", "kernel_id": "64359043"}, {"ref": "jiting/intro-ibisml", "kernel_id": "65029941"}, {"ref": "dineshsaraswat/mushroom-prediction", "kernel_id": "65020499"}, {"ref": "surajwate/poisonous-mushroom-grid-parameters", "kernel_id": "65013400"}, {"ref": "abdelrhmanashraf/poisonous-mashroums", "kernel_id": "65004077"}, {"ref": "kangseunghwan/data-clean-autogluon", "kernel_id": "65010358"}, {"ref": "artempanush/mashroom-dilemma", "kernel_id": "65054911"}, {"ref": "madhuri55/mushroom-classification", "kernel_id": "65783461"}, {"ref": "satyaprakashshukl/used-car-price-prediction", "kernel_id": "65062670"}, {"ref": "satyaprakashshukl/h20-car-prediction-analysis", "kernel_id": "65077127"}, {"ref": "avikumart/poisonous-mushroom-prediction", "kernel_id": "65038396"}, {"ref": "rv1922/s4-e8-catboost", "kernel_id": "65030087"}, {"ref": "aspnet222/prediction-poisonous-mushrooms-feature-selection", "kernel_id": "65142000"}, {"ref": "shauandss/regularization-techniques-in-nn", "kernel_id": "65493781"}, {"ref": "solance/preprocessing", "kernel_id": "65026928"}, {"ref": "xrbams/poisonous-mushr", "kernel_id": "65774742"}, {"ref": "noemifo/binary-prediction-of-poisonous-mushrooms", "kernel_id": "65055352"}, {"ref": "latypovramil/poisonous-mushrooms-classification", "kernel_id": "65019183"}, {"ref": "anshikakashyap12/ps4e8-binary-prediction-of-poisonous-mushrooms", "kernel_id": "65006313"}, {"ref": "stealthtechnologies/experiment-best-threshold", "kernel_id": "65041812"}, {"ref": "sunnyvarnawal/mushroom-classification-editable-or-not", "kernel_id": "65806453"}, {"ref": "phuongngo2515/classification-mushroom-toxic-prediction", "kernel_id": "65562707"}, {"ref": "harshitstark/binary-prediction-of-poisonous-mushrooms", "kernel_id": "65019011"}, {"ref": "cindysun1111/mashroom-poisonous-analysis", "kernel_id": "65112670"}, {"ref": "satyashah26/mushroom-prediction-with-xgboost-mcc-0-98492", "kernel_id": "65007539"}, {"ref": "danialia/mashroom", "kernel_id": "65000476"}, {"ref": "sayande01/binary-prediction-of-poisonous-mushrooms", "kernel_id": "65029546"}, {"ref": "metinhsimimi/prediction-of-poisonous-mushrooms-eda", "kernel_id": "65587970"}, {"ref": "igiengineer/top-25-public-leaderboard-cb-lgbm-xgb", "kernel_id": "65013618"}, {"ref": "chitramalam/poisonousmushroom-cm", "kernel_id": "65051265"}, {"ref": "aryagokh/loading-the-last-poimush", "kernel_id": "65022481"}, {"ref": "aryagokh/more-train-poimush-autog", "kernel_id": "65025705"}, {"ref": "swandipsingha/swandip-s-top-score-notebook", "kernel_id": "65015387"}, {"ref": "vedantpol/neural-network-top-score", "kernel_id": "65021767"}, {"ref": "galaxyemperor25/eda-and-binary-classification-of-mushrooms", "kernel_id": "65054675"}, {"ref": "jkgowdy/mushrooms-to-eat-or-not-to-eat-rf-xgboost", "kernel_id": "65120862"}, {"ref": "vaibhavsingh00/poisonous-mushrooms", "kernel_id": "65050635"}, {"ref": "sarittheppitak/random-forest-with-98", "kernel_id": "65002221"}, {"ref": "vladimiriokar/mushrooms-ensemble", "kernel_id": "65282381"}, {"ref": "docxian/ps-s4-e10-loan-approval-binary-classification", "kernel_id": "66781216"}, {"ref": "aliamrali/is-this-mushroom-edible-ml-ann", "kernel_id": "66262115"}, {"ref": "ednaxx/ps4e8-binary-prediction-of-poisonous-mushrooms", "kernel_id": "66354709"}, {"ref": "shreyasur965/poisonous-mushroom-prediction-96-accuracy", "kernel_id": "66456411"}, {"ref": "vivekkmr07/binary-prediction-of-poisonous-mushrooms", "kernel_id": "66465607"}, {"ref": "alokkumar175358/poisonous-mushroom-prediction-accuracy-99", "kernel_id": "66360297"}, {"ref": "jvachier/voting-classifier-catboost-and-lightgmb-gpu-98-5", "kernel_id": "67388927"}, {"ref": "sczhuoffical/fork-of-s-c-zhu-advanced-lightautoml", "kernel_id": "67139150"}, {"ref": "parthsan/mushroom-competition", "kernel_id": "67442037"}, {"ref": "ydywegu8hw6s/poisonous-mushrooms-prediction", "kernel_id": "67225361"}, {"ref": "mohanadabouserie/binary-prediction-of-poisonous-mushrooms", "kernel_id": "68914602"}, {"ref": "saimnasir/mushroom-edibility-classification-randomforest", "kernel_id": "68403175"}, {"ref": "erenkonta/dl-classification-ile-zehirli-mantarlar-n-tahmini", "kernel_id": "68894492"}, {"ref": "alperugurca/binary-prediction-of-poisonous-mushrooms", "kernel_id": "69449997"}, {"ref": "hramos93/new-binary-prediction-of-poisonus", "kernel_id": "71618410"}, {"ref": "yashparab/binary-prediction-of-poisonous-mushrooms", "kernel_id": "72133109"}, {"ref": "hwikookchoe/pycaret-practice", "kernel_id": "72952300"}, {"ref": "salkochoa/playground-series-s4e8", "kernel_id": "73447799"}, {"ref": "tarekomar55/eda-and-data-cleaning-of-mushrooms", "kernel_id": "73446247"}, {"ref": "daniloiskrenov/projekat-prepravka", "kernel_id": "73339657"}, {"ref": "daniloiskrenov/zadatak", "kernel_id": "73368297"}, {"ref": "lianalotarets/binary-prediction-of-poisonous-mushrooms", "kernel_id": "74290094"}, {"ref": "ldausl/mushroom-classification-analysis", "kernel_id": "75349237"}, {"ref": "ldausl/notebook-mushroom", "kernel_id": "75349499"}, {"ref": "chitrakshsingh/poisonous-mushrooms-ml", "kernel_id": "76837054"}, {"ref": "salsabilanmahmudah/binary-prediction-of-poisonous-mushrooms", "kernel_id": "77363749"}, {"ref": "althariqfairuz/binary-prediction-of-poisonous-mushrooms", "kernel_id": "77909344"}, {"ref": "gerardomacias/poisonous-mushroom-gridsearch-score-0-98443", "kernel_id": "78662779"}, {"ref": "penbenur/binary-prediction-of-poisonous-mushrooms", "kernel_id": "79979899"}, {"ref": "mesutbagl/poisonous-mushroom-automl", "kernel_id": "79249438"}, {"ref": "seaninggg/2-prediction-of-mushroom", "kernel_id": "82145265"}, {"ref": "keitasasakuta/notebook65def44cb8", "kernel_id": "85940924"}, {"ref": "rishabh2007/wine-quality-prediction-97", "kernel_id": "86191239"}, {"ref": "mariusborel/h2o-learning-classifier", "kernel_id": "86397412"}, {"ref": "rikuhiraoka/notebookd3169aceb1", "kernel_id": "86385990"}, {"ref": "cherrmittal/poisonous-mushroom-using-autogluon", "kernel_id": "86313829"}, {"ref": "yutontuniv/notebook0a1a277d87", "kernel_id": "86386368"}, {"ref": "keitasasakuta/fork-of-notebook65def44cb8", "kernel_id": "86864215"}, {"ref": "suzuekazuto/notebook8359266a5e", "kernel_id": "86386246"}, {"ref": "sq7708/notebookaa0e57aec8", "kernel_id": "86386896"}, {"ref": "yutontuniv/fork-of-notebook65def44cb8", "kernel_id": "87048915"}, {"ref": "suzuekazuto/notebook0a1a277d87", "kernel_id": "87842285"}, {"ref": "r33139997/notebook546efc4441", "kernel_id": "87336696"}, {"ref": "ximenadelgadoa/actividad-5-prediction-of-poisonous-mushrooms", "kernel_id": "95830161"}, {"ref": "ximenadelgadoa/actividad-4-prediction-of-poisonous-mushrooms", "kernel_id": "95819647"}, {"ref": "thanhhainguyn/mushroom-s4e8-eda-and-preprocessing", "kernel_id": "96852864"}, {"ref": "ocwerfrancis/binary-prediction-of-poisonous-mushrooms", "kernel_id": "98288947"}, {"ref": "antonnovom/eda-bit-project", "kernel_id": "103668168"}, {"ref": "handeharmankaya/poisonous-mushrooms-prediction", "kernel_id": "103393889"}, {"ref": "antonnovom/baseline-bit-project-submit", "kernel_id": "104392896"}, {"ref": "antonnovom/improved-version-bit-project", "kernel_id": "104394974"}, {"ref": "mhsn21/diabetes-prediction-challenge", "kernel_id": "105950008"}, {"ref": "manikantaviswa/poisonous-mushrooms-prediction-xgboost-classifier", "kernel_id": "105881049"}, {"ref": "osmanozcanli/poisonous-mushrooms-prediction-xgboost-classifier", "kernel_id": "109779373"}, {"ref": "osmanozcanli/poisonous-mushrooms-prediction-lightgbm", "kernel_id": "109781340"}, {"ref": "tasneemfaisal/mashrom-dataset", "kernel_id": "112492437"}, {"ref": "omeraydin1/fertilizer-name-dl-classification", "kernel_id": "115330993"}, {"ref": "searain1110/mushroom-test", "kernel_id": "115707795"}, {"ref": "seo22hs/day02-notebook", "kernel_id": "115708746"}, {"ref": "engysaw/mushroom-classification", "kernel_id": "116702622"}, {"ref": "tommydan/holy-trinity", "kernel_id": "118377474"}, {"ref": "missy515/notebookd488fae764", "kernel_id": "124887461"}, {"ref": "mawamakeruna/binary-prediction-of-poisonous-mushrooms", "kernel_id": "125774049"}, {"ref": "matuokouta/notebook03da2c56fb", "kernel_id": "125777701"}, {"ref": "matuokouta/notebook65193a0ab8", "kernel_id": "125779145"}, {"ref": "matuokouta/notebook429cbbf3d4", "kernel_id": "125774650"}, {"ref": "masato25/notebookcab5e68334", "kernel_id": "126198699"}, {"ref": "nishinoa2lab/notebook1a09788c27-bestscore-v4", "kernel_id": "126564766"}, {"ref": "matuokouta/notebook714417b736", "kernel_id": "126564553"}, {"ref": "uenoryuki/bpopm-ver-2", "kernel_id": "126568725"}, {"ref": "tserenochir0317/notebook6526679216", "kernel_id": "127460249"}, {"ref": "nishinoa2lab/notebookb3eab17ad8", "kernel_id": "127981523"}, {"ref": "missy515/notebooka83771404c", "kernel_id": "127542791"}, {"ref": "matuokouta/notebook18ab512617", "kernel_id": "127557290"}, {"ref": "uenoryuki/bpopm-ver-3", "kernel_id": "127559199"}, {"ref": "shokiyariba/notebooka4acdce55a", "kernel_id": "127562194"}, {"ref": "aaaaaaaaaaabcc/notebook8ca83b31d3", "kernel_id": "128199482"}, {"ref": "molmolkaggle/binary-prediction-of-poisonous-mushroom", "kernel_id": "128376129"}, {"ref": "yutaida/notebook623910a35b", "kernel_id": "128422358"}, {"ref": "matuokouta/notebook0ea1e4eefe", "kernel_id": "128351076"}, {"ref": "matuokouta/notebookb8702f3c2c", "kernel_id": "128352335"}, {"ref": "satoru1203/notebook5f09670d66", "kernel_id": "128334362"}, {"ref": "uenoryuki/bpopm-ver-4", "kernel_id": "128450886"}, {"ref": "uedaryohei0000/notebookcf39ae3832", "kernel_id": "128387525"}, {"ref": "koogose/notebook962afedee1", "kernel_id": "128449520"}, {"ref": "fumihirosugimoto/notebookf2b5023d66", "kernel_id": "128453218"}, {"ref": "fumihirosugimoto/notebook7b0ae1cb08", "kernel_id": "128450634"}, {"ref": "fumihirosugimoto/notebooka0e55cacd0", "kernel_id": "128435260"}, {"ref": "ssk0210/notebook86c5c4dafc", "kernel_id": "128448270"}, {"ref": "deven02/notebook9d3fa292b6", "kernel_id": "128428677"}, {"ref": "whiyuu/notebook76604dd55f", "kernel_id": "128449522"}, {"ref": "zqx960151285/binary-prediction-of-poisonous-mushrooms", "kernel_id": "129601610"}]}
{"competition_id": "76728", "kernels": [{"ref": "ramjasmaurya/ps-3-15-simple-imputation-modelling", "kernel_id": "38750649"}, {"ref": "kalpanagarige/regression-of-used-car-prices-using-catboost", "kernel_id": "58913047"}, {"ref": "vishnupriyagarige/used-car-price-prediction", "kernel_id": "60168244"}, {"ref": "sczhuoffical/basic-sample-of-submission", "kernel_id": "63256894"}, {"ref": "ppwojtekb/python-sklearn-regression-cookbook", "kernel_id": "64269401"}, {"ref": "anujmd/basic-eda-1", "kernel_id": "65323155"}, {"ref": "dineshsaraswat/car-price-prediction", "kernel_id": "65137866"}, {"ref": "cdthinh/catboost-baseline-simple-for-beginners", "kernel_id": "65345852"}, {"ref": "cdthinh/lightgbm-baseline-lb-100", "kernel_id": "65176259"}, {"ref": "balrammirani/s4e9-exploring-top-results-a-closer-look", "kernel_id": "65270418"}, {"ref": "balrammirani/s4e9-autogluon-scoring", "kernel_id": "65131688"}, {"ref": "balrammirani/s4e9-autogluon-blend", "kernel_id": "65132345"}, {"ref": "balrammirani/s4e9-autogluon-starter-train", "kernel_id": "65065918"}, {"ref": "bjoernholzhauer/ps-s04e09-used-car-prices-perpetualbooster", "kernel_id": "65547876"}, {"ref": "bjoernholzhauer/ps-s04e09-used-car-prices-rf", "kernel_id": "65491275"}, {"ref": "bjoernholzhauer/ps-s04e09-used-car-prices-linear-model", "kernel_id": "65285244"}, {"ref": "bjoernholzhauer/ps-s04e09-used-car-prices-lgb", "kernel_id": "65707863"}, {"ref": "bjoernholzhauer/ps-s04e09-used-car-prices-nn-fastai-wider", "kernel_id": "65727304"}, {"ref": "bjoernholzhauer/ps-s04e09-used-car-prices-lgb-tune-fixed-iter", "kernel_id": "65731932"}, {"ref": "bjoernholzhauer/ps-s04e09-used-car-prices-stacking", "kernel_id": "65921911"}, {"ref": "bjoernholzhauer/ps-s04e09-used-car-prices-stacked-submission", "kernel_id": "65991618"}, {"ref": "rockiecao/pss4e9-usedcarpriceregression-lgbm-optuna", "kernel_id": "65086845"}, {"ref": "bkanupam/ps4e9-experiments", "kernel_id": "65514291"}, {"ref": "bkanupam/ps4e9-autogluon", "kernel_id": "65659277"}, {"ref": "sidcodegg/can-ai-beat-humans", "kernel_id": "65192270"}, {"ref": "taimour/s4e9-h2o-explained-fast-quick", "kernel_id": "65815121"}, {"ref": "taimour/s4e9-autogluon-explained-what-s-the-price", "kernel_id": "65443926"}, {"ref": "taimour/s4e9-cars-lgb-xgbr-stacking-eda", "kernel_id": "65064762"}, {"ref": "yekenot/ps-s4-e9-deeptables-nn-starter", "kernel_id": "65622406"}, {"ref": "bens44/used-car-price-prediction-bens", "kernel_id": "65968874"}, {"ref": "dequadras/super-fast-eda-with-targetviz", "kernel_id": "65212480"}, {"ref": "jotaro/s4e9-autogluon-blend", "kernel_id": "65423256"}, {"ref": "rodrigov/simple-baseline-score-74808-08400", "kernel_id": "65615259"}, {"ref": "docxian/ps-s4-e09-car-price-regression", "kernel_id": "65085811"}, {"ref": "docxian/pyspark-demo-used-car-prices-data", "kernel_id": "65919304"}, {"ref": "jonbown/car-price-regression-with-polars-vs-pandas", "kernel_id": "65501592"}, {"ref": "tooba10/eda-of-regression", "kernel_id": "65174213"}, {"ref": "mmalam/engine-info-parsed", "kernel_id": "65133768"}, {"ref": "mmalam/transmission-type-auto-or-manual-extraction", "kernel_id": "65129098"}, {"ref": "mmalam/exterior-color-simplified", "kernel_id": "65345809"}, {"ref": "cdeotte/nn-starter-lb-72300-cv-72800", "kernel_id": "65455845"}, {"ref": "cdeotte/rapids-cuml-lasso-lb-0-72500-cv-0-72800", "kernel_id": "65744738"}, {"ref": "oscarm524/ps-s4-ep9-eda-modeling-submission", "kernel_id": "65060979"}, {"ref": "ahmedabdulhamid/approaching-a-project-s4e9-1-eda", "kernel_id": "65077029"}, {"ref": "ahmedabdulhamid/approaching-a-project-s4e9-2-advanced-eda", "kernel_id": "65482856"}, {"ref": "priyanshutuli/used-car-prices", "kernel_id": "65559960"}, {"ref": "nikhilvishwanath/feature-engineering", "kernel_id": "65071400"}, {"ref": "dellalkhaled/one-hot-encoding", "kernel_id": "65727389"}, {"ref": "dellalkhaled/get-price-f-milage-function", "kernel_id": "65835410"}, {"ref": "pkyriakou/predicting-used-car-prices-a-basic-approach", "kernel_id": "65295871"}, {"ref": "mgranada/second-hand-car-evaluation-data-cleaning", "kernel_id": "65193325"}, {"ref": "yogi050294/06-data-augmentation", "kernel_id": "65669461"}, {"ref": "maiernator/car-eda-feature-engineering-nn", "kernel_id": "65070594"}, {"ref": "stpeteishii/car-prices-ensemble-w-stackingregressor", "kernel_id": "65430315"}, {"ref": "stpeteishii/car-prices-xgboost-w-optuna-ohe", "kernel_id": "65417658"}, {"ref": "stpeteishii/car-prices-ensemble-w-votingregressor", "kernel_id": "65518498"}, {"ref": "stpeteishii/car-prices-lgbm-w-optuna-ohe", "kernel_id": "65137303"}, {"ref": "stpeteishii/used-car-prices-importance-prediction", "kernel_id": "65115489"}, {"ref": "stpeteishii/used-car-prices-lgbm-w-optuna", "kernel_id": "65120181"}, {"ref": "stpeteishii/used-car-prices-histplot", "kernel_id": "65119828"}, {"ref": "stpeteishii/engine-word-importance", "kernel_id": "65122045"}, {"ref": "stpeteishii/car-prices-catboost-w-optuna-ohe", "kernel_id": "65149289"}, {"ref": "ricopue/used-car-prices-fast-encode", "kernel_id": "65302680"}, {"ref": "cocowave/question-s4e9-eda", "kernel_id": "65099783"}, {"ref": "blade007/data-story-pss4e9", "kernel_id": "65059333"}, {"ref": "octlog/pss4e9-car-price-prediction-step-by-step", "kernel_id": "65065620"}, {"ref": "octlog/exploring-colors", "kernel_id": "65436902"}, {"ref": "mmellinger66/ps4e9-used-car-pricing-models", "kernel_id": "65132678"}, {"ref": "mpwolke/used-cars-recycled-h2o-code", "kernel_id": "65060455"}, {"ref": "allegich/price-cars-prediction-eda-blending", "kernel_id": "65146660"}, {"ref": "mtinglof/full-workflow-feat-eng-clean-feat-importance", "kernel_id": "65312074"}, {"ref": "cid007/ps4e9-eda-lgbm-h2o-optuna", "kernel_id": "65209578"}, {"ref": "catadanna/tab-s4e9-folds", "kernel_id": "65325131"}, {"ref": "nicobarea/s3e9-regression-v3", "kernel_id": "65095595"}, {"ref": "irfanahmad1/autogluon-used-car-price-prediction-v2", "kernel_id": "65287723"}, {"ref": "irfanahmad1/autogluon-effortless-price-prediction", "kernel_id": "65264958"}, {"ref": "irfanahmad1/car-price-prediction-a-quick-guide", "kernel_id": "65239051"}, {"ref": "aparoski/cash-for-car-calculations", "kernel_id": "65741528"}, {"ref": "hipparkarrahul18/regression-of-used-car-prices", "kernel_id": "65225581"}, {"ref": "mohammedshammeer/preprocessing-engine", "kernel_id": "65277447"}, {"ref": "vishnuoum/regression-of-used-car-prices", "kernel_id": "65671761"}, {"ref": "fahimrayhan/car-price-prediction-using-xgboost", "kernel_id": "65085174"}, {"ref": "sanjaylalwani/cars-price-by-nn", "kernel_id": "65835754"}, {"ref": "ganeshstemx/ps-s4e9-regression-of-used-car-prices-first", "kernel_id": "65074407"}, {"ref": "pierrejeanne/s4-e9-voting-ml", "kernel_id": "65065808"}, {"ref": "khosiyatsabirova/carpricepredictionpipeline", "kernel_id": "65384356"}, {"ref": "synchrocyclotron/autogluon-effortless-above-benchmark", "kernel_id": "65858119"}, {"ref": "herminiovazquez/used-car-prices-pyspark", "kernel_id": "65365956"}, {"ref": "ahmetbilgic/car-price-beginners-level-eda-lgbm", "kernel_id": "65857685"}, {"ref": "dangnguyen97/price-cars-prediction-blending-72006-97-top-100", "kernel_id": "65810643"}, {"ref": "tracyporter/play-4-9-et", "kernel_id": "65114732"}, {"ref": "tracyporter/play-4-9-et-feature-selection", "kernel_id": "65127133"}, {"ref": "tracyporter/play-4-9-linreg", "kernel_id": "65089545"}, {"ref": "tracyporter/play-4-9-linreg-stdscale", "kernel_id": "65100867"}, {"ref": "tracyporter/play-4-9-tf-linreg-stdscale", "kernel_id": "65101242"}, {"ref": "mananpbansal/playground-s04e09-ydf-decision-trees", "kernel_id": "65356348"}, {"ref": "mananpbansal/playground-s04e09-neural-net-nn-keras", "kernel_id": "65230097"}, {"ref": "myungsubkim/s4e9-used-car-prices-lgbm-catboost", "kernel_id": "65548254"}, {"ref": "ahmedtarek26/simple-regression-notebook", "kernel_id": "65481418"}, {"ref": "sabyasachi96/tps-september2024-s4e9-ml", "kernel_id": "65998285"}, {"ref": "avinandanpal/price-prediction-of-used-cars", "kernel_id": "65220829"}, {"ref": "mohammedragabsaad/playground-s4-e9-car-prices-prediction", "kernel_id": "65129876"}, {"ref": "thomasmeiner/automl-grandprix-bluecast-xgboost-w-fe", "kernel_id": "65083420"}, {"ref": "thomasmeiner/ps4e9-bluecast-eda", "kernel_id": "65083804"}, {"ref": "thomasmeiner/ps4e9-automl-grandprix-bluecast-cb-with-fe", "kernel_id": "65068340"}, {"ref": "lkskrk/ps4e9-used-car-prices-auto-ml-blending", "kernel_id": "65276946"}, {"ref": "lkskrk/ps4e9-used-car-prices-auto-eda-modeling", "kernel_id": "65183133"}, {"ref": "muhammadrizwanamanat/eda-model-building", "kernel_id": "65140646"}, {"ref": "yusufdolek/data-analysis-from-newby", "kernel_id": "65950303"}, {"ref": "rezashokrzad/autogluon-starter-minimal-dslanders", "kernel_id": "65070525"}, {"ref": "davinascimento/regression-of-used-car-prices-cnn", "kernel_id": "65966453"}, {"ref": "davinascimento/regression-of-used-car-prices-xgboost", "kernel_id": "65969908"}, {"ref": "humhainrahipyarke/nitkians-1-usedcars", "kernel_id": "65758256"}, {"ref": "anastasialaschishina/car-prices", "kernel_id": "65116463"}, {"ref": "shivamshinde123/regression-of-used-car-prediction", "kernel_id": "65816746"}, {"ref": "sasakitetsuya/feature-engineering-ideas-for-car-price-prediction", "kernel_id": "65148265"}, {"ref": "trnngclankhanh/regression-of-used-car-prices", "kernel_id": "65799968"}, {"ref": "garfield2021/pss4e9-xgb-lgbm-cat", "kernel_id": "65178548"}, {"ref": "thnhha/regression-of-fe-xgb-cb", "kernel_id": "65802491"}, {"ref": "rkoirala129/treebased", "kernel_id": "65067073"}, {"ref": "lolislayer/data-process-and-model-testing-car-price-predict", "kernel_id": "65469069"}, {"ref": "roberthatch/autogp5-hyperkaggle", "kernel_id": "65058332"}, {"ref": "roberthatch/autogp5-hyperkaggle-autogluon", "kernel_id": "65209068"}, {"ref": "anandmagadum/car-priceprediction", "kernel_id": "65691021"}, {"ref": "jimgruman/you-wont-find-a-better-deal-anywhere-else", "kernel_id": "65061634"}, {"ref": "vladimirmijatovic/used-cars-h20", "kernel_id": "65125553"}, {"ref": "vladimirmijatovic/engine-eda-and-engine-features-deep-dive", "kernel_id": "65224567"}, {"ref": "valentinemwai/car-price-prediction", "kernel_id": "65122861"}, {"ref": "valentinemwai/regression-of-used-car-prices", "kernel_id": "65128064"}, {"ref": "faroughashkouti/car-price-dslanders", "kernel_id": "65277539"}, {"ref": "faroughashkouti/carprice-pred-dslanders", "kernel_id": "65673014"}, {"ref": "faroughashkouti/car-price-prediction-dslander", "kernel_id": "65672205"}, {"ref": "krishnadaskv/pss4-e9-used-car-xgb-base-model", "kernel_id": "65058544"}, {"ref": "pedroaltobelli/car-price-insperdynamics", "kernel_id": "65689334"}, {"ref": "artempanush/s4e9-car-prices-dilemma", "kernel_id": "65212596"}, {"ref": "martynovandrey/cv-weights-optimizer-clip", "kernel_id": "65629988"}, {"ref": "martynovandrey/an-ensemble-of-identical-models", "kernel_id": "65866442"}, {"ref": "htonmoy19/xgboost-regression-of-used-car-prices", "kernel_id": "65075473"}, {"ref": "conradkleykamp/used-car-price-regression-neural-network", "kernel_id": "65861091"}, {"ref": "nurulsakinah/predicting-used-car-prices-linear-rf-xgb", "kernel_id": "65990049"}, {"ref": "shubham1111/analyzing-the-regression-of-used-cars-s4e9", "kernel_id": "65781196"}, {"ref": "pierremonroy/s4ep9-getting-started-eda-and-cleaning", "kernel_id": "65108368"}, {"ref": "swarnabh31/let-me-help-you-buy-cars-by-machinelearning", "kernel_id": "65809397"}, {"ref": "barbagrande007/bbg007-s4e9-usedcars", "kernel_id": "65075441"}, {"ref": "batuhankalem/car-price-auto", "kernel_id": "65497147"}, {"ref": "romee2008/random-forest-regression", "kernel_id": "65638328"}, {"ref": "romee2008/cat-boost-regression-used-car-prices", "kernel_id": "65700102"}, {"ref": "yousefnooredin/yn-car-prices-dslanders", "kernel_id": "65076554"}, {"ref": "satyaprakashshukl/used-car-price-prediction", "kernel_id": "65062670"}, {"ref": "satyaprakashshukl/h20-car-prediction-analysis", "kernel_id": "65077127"}, {"ref": "satyaprakashshukl/neural-network-price-analysis", "kernel_id": "65465054"}, {"ref": "ayaabdalsalam/car-priceprediction", "kernel_id": "65797486"}, {"ref": "hosseinbehjat/simple-eda-for-beginners-pss4-e8", "kernel_id": "65065455"}, {"ref": "ravi20076/playgrounds4e09-blender-v1", "kernel_id": "65264460"}, {"ref": "ravi20076/playgrounds4e09-autogluon-v1", "kernel_id": "65064275"}, {"ref": "ravi20076/playgrounds4e09-automl-imports", "kernel_id": "65065750"}, {"ref": "ravi20076/playgrounds4e09-lama-v1", "kernel_id": "65063563"}, {"ref": "ravi20076/playgrounds4e09-baseline-v1", "kernel_id": "65059565"}, {"ref": "ravi20076/playgrounds4e09-imports-v1", "kernel_id": "65059287"}, {"ref": "mobinapoulaei/stacking-dslanders", "kernel_id": "65156247"}, {"ref": "mobinapoulaei/best-model-dslanders", "kernel_id": "65140818"}, {"ref": "mobinapoulaei/eda-used-cars-dslanders", "kernel_id": "65079001"}, {"ref": "mobinapoulaei/blend-with-optuna", "kernel_id": "65739838"}, {"ref": "tanishqvashisht/xgboost-regression-on-used-car-prices", "kernel_id": "65061934"}, {"ref": "kartiknimhan/regression-of-used-car-prices", "kernel_id": "65907055"}, {"ref": "omidbaghchehsaraei/ridge-ensemble-for-used-car-price-regression", "kernel_id": "65755273"}, {"ref": "babydriver1233/regression-of-used-car-prices", "kernel_id": "65469025"}, {"ref": "babydriver1233/regression-for-used-car-prices", "kernel_id": "65470148"}, {"ref": "klyushnik/weight-regression-keras", "kernel_id": "65163273"}, {"ref": "alexkalita/autogluon-fe", "kernel_id": "65391111"}, {"ref": "ankanderia/car-price-prediction-1", "kernel_id": "65498277"}, {"ref": "sjagkoo7/s3e9-regression-of-used-car-prices", "kernel_id": "65138952"}, {"ref": "rv1922/s4-e9-text-analytics-used-car", "kernel_id": "65375023"}, {"ref": "rv1922/s4-e9-catboost-resale", "kernel_id": "65381415"}, {"ref": "rv1922/s4-e9-eda-lgbm-used-prediction", "kernel_id": "65512886"}, {"ref": "rv1922/s4-e9-exploratory-data-analysis-car-price", "kernel_id": "65066420"}, {"ref": "rv1922/s4-e9-car-price-estimation-xgb", "kernel_id": "65124274"}, {"ref": "rv1922/s4-e9-car-price-prediction-xgboost", "kernel_id": "65755851"}, {"ref": "rv1922/s4-e9-car-price-prediction-lgbm", "kernel_id": "65767691"}, {"ref": "rv1922/s4-e9-xgb-catboost-stacking", "kernel_id": "65854860"}, {"ref": "rv1922/s4-e9-regression-of-used-car-xgb-lgbm", "kernel_id": "65855471"}, {"ref": "rv1922/s4-e9-used-car-price-prediction", "kernel_id": "65852897"}, {"ref": "rv1922/s4-e9-car-price-prediction-regression", "kernel_id": "65840533"}, {"ref": "rv1922/s4-e9-used-car-price-prediction-stack", "kernel_id": "65934357"}, {"ref": "rv1922/s4-e9-car-price-prediction-using-lgbm", "kernel_id": "65949503"}, {"ref": "rv1922/s4-e9-automated-car-price-prediction-regression", "kernel_id": "65962681"}, {"ref": "rv1922/s4-e9-car-worth-predictor-auto-ml", "kernel_id": "65985123"}, {"ref": "rahmasleam/used-car-prices-using-ann", "kernel_id": "65974885"}, {"ref": "ebrahimmerza/regression-of-used-car-price-lgbm-catboost-ensembl", "kernel_id": "65858780"}, {"ref": "dhineshbabbu/adb-regression-of-used-car-prices", "kernel_id": "65181517"}, {"ref": "nassimsfaxi/regression-of-used-cars-prices", "kernel_id": "65736035"}, {"ref": "krzysztofszafraski/car-prices-feature-extraction-eda-and-lgb-ctb", "kernel_id": "65336480"}, {"ref": "subhadipde2000/playground-s04e09-lgbmregressor-eda", "kernel_id": "65067817"}, {"ref": "rlakshminarayanan/eda-baseline-model-vroom", "kernel_id": "65078468"}, {"ref": "orestmatiiuk/target-issues", "kernel_id": "65126802"}, {"ref": "nibinantony/regression-of-used-cars-playground", "kernel_id": "65940804"}, {"ref": "rubanzasilva/autogluon-used-cars", "kernel_id": "65078141"}, {"ref": "rubanzasilva/used-cars-eda-fastai-gradient-boosting", "kernel_id": "65073315"}, {"ref": "cndrip/regression-of-used-car-prices-s4e9-baseline", "kernel_id": "65060826"}, {"ref": "ahmed3okka/pg-s4-e9-automl-submission", "kernel_id": "65453593"}, {"ref": "mariusborel/regression-of-used-car-prices", "kernel_id": "65822874"}, {"ref": "sabetm/car-price-autogloun-dslanders-ms", "kernel_id": "65332730"}, {"ref": "thunder7/best-blend-but-blending-is-so-bad", "kernel_id": "65553854"}, {"ref": "samvelkoch/s4e9-eda-by-autogluon-v-1", "kernel_id": "65076752"}, {"ref": "sabyrbazarymbetov/used-car-price-eda", "kernel_id": "65462664"}, {"ref": "khalednabawi/used-cars-prediction", "kernel_id": "65919104"}, {"ref": "akashbabu17/machine-learning-model-to-predict-used-car-price", "kernel_id": "65733523"}, {"ref": "vibhojoshi/regression-1", "kernel_id": "65695398"}, {"ref": "anilyagiz/cnn-lstm-car-price", "kernel_id": "65084580"}, {"ref": "khoatran311/baseline-regression-with-r", "kernel_id": "65084915"}, {"ref": "ahmedelbashir99/regression-of-used-car-prices", "kernel_id": "65274743"}, {"ref": "sooyoungher/plot-eda-car-prices-with-original-data", "kernel_id": "65058955"}, {"ref": "sooyoungher/tabnet-for-ps4e9", "kernel_id": "65062809"}, {"ref": "sh223123/used-car", "kernel_id": "65059083"}, {"ref": "bhaveshg20/stacking-ensemble-regression", "kernel_id": "65870488"}, {"ref": "bhaveshg20/rucp-xgboost", "kernel_id": "65076560"}, {"ref": "aspnet222/car-price-prediction-rohollahmahmoodiany-dslanders", "kernel_id": "65497664"}, {"ref": "neerajmanhar/s4e9-autogluon", "kernel_id": "65399576"}, {"ref": "toddgardiner/s4e9-exotics-identification-no-proof", "kernel_id": "65066423"}, {"ref": "toddgardiner/s4e9-data-cleaning", "kernel_id": "65066333"}, {"ref": "toddgardiner/s4e9-eda-data-verification-sm-regression", "kernel_id": "65058657"}, {"ref": "toddgardiner/s4e9-gam-in-r", "kernel_id": "65165684"}, {"ref": "toddgardiner/s4e9-catboost-exotics-classifier", "kernel_id": "65192214"}, {"ref": "kautilya1sub/used-car-price-regression", "kernel_id": "65227044"}, {"ref": "a3amat02/random-forest-for-used-car-prices-prediction", "kernel_id": "65683925"}, {"ref": "jesusdeleon19/used-car-prices", "kernel_id": "65444964"}, {"ref": "advaitmenon/regression-used-car-prices", "kernel_id": "65247230"}, {"ref": "francescoliveras/ps-s4-e9-eda-model-en-es", "kernel_id": "65108974"}, {"ref": "elemam/linear-model-for-price-prediction-pytorchlight", "kernel_id": "65238537"}, {"ref": "juniorbertrand/three-lines-autogluon", "kernel_id": "65609471"}, {"ref": "k213331alizainsharif/regression-of-used-car-prices-using-neural-network", "kernel_id": "65462463"}, {"ref": "rudrakumar96/ps-s4-e09-used-car-prices-eda-xgb", "kernel_id": "65137104"}, {"ref": "rudrakumar96/used-car-prices-prediction-eda-lgbm", "kernel_id": "65240582"}, {"ref": "rudrakumar96/used-car-prediction", "kernel_id": "65447686"}, {"ref": "jinsatp/eda-firstcut", "kernel_id": "65901213"}, {"ref": "yaminh/pss4p9-full-eda-optuna-bp-xgboost", "kernel_id": "65376841"}, {"ref": "yaminh/pss4p9-with-nn-50-fold", "kernel_id": "65677544"}, {"ref": "khushiaggarwal710/used-car-price-prediction-regression", "kernel_id": "65285509"}, {"ref": "grooper/regression-practice-with-car-data", "kernel_id": "65488967"}, {"ref": "jaesolshin/playground-2024-09-submission", "kernel_id": "65104672"}, {"ref": "jaesolshin/playground-2024-09-hyperparameter-tuning", "kernel_id": "65103348"}, {"ref": "jaesolshin/playground-2024-09-h2o", "kernel_id": "65112794"}, {"ref": "jaesolshin/playground-2024-09-comparing-models", "kernel_id": "65067860"}, {"ref": "rospel/addressing-high-cardinality-categorical-data", "kernel_id": "65568025"}, {"ref": "bassetkerouche/eda-visualization-analysis-used-car-prices", "kernel_id": "65165883"}, {"ref": "bassetkerouche/regression-of-used-car-prices-blending-ensemble", "kernel_id": "65399873"}, {"ref": "bassetkerouche/feature-engineer-cat-autogolun", "kernel_id": "65396630"}, {"ref": "nikola6453/car-prices-prediction-using-tree-based-methods", "kernel_id": "65997632"}, {"ref": "alisoleymani69/ali-soleymani-blend-dslanders", "kernel_id": "65724378"}, {"ref": "alisoleymani69/ali-soleymani-prediction-dslanders", "kernel_id": "65724480"}, {"ref": "alisoleymani69/ali-4-9-1-dslanders", "kernel_id": "65724107"}, {"ref": "alisoleymani69/ali-soleymani-price-4-9-dslanders", "kernel_id": "65724884"}, {"ref": "alisoleymani69/lgbm-4-9-dslanders", "kernel_id": "65725019"}, {"ref": "alisoleymani69/ali-soleymani-dslanders", "kernel_id": "65701722"}, {"ref": "alisoleymani69/ali-soleymani-lgbm-dslanders", "kernel_id": "65677741"}, {"ref": "rahul713/feature-extraction-s4e9", "kernel_id": "65121070"}, {"ref": "mathewshuvarikov/lightautoml-regression-for-used-car-prices", "kernel_id": "65800992"}, {"ref": "fundal/competition-regression-of-used-car-prices", "kernel_id": "65068970"}, {"ref": "whoishmk/regression-of-used-cars-tensorflow-deep-learning", "kernel_id": "65084340"}, {"ref": "mayanksinghr/used-car-price-simple-linear-regression", "kernel_id": "65671510"}, {"ref": "vanpatangan/regression-of-used-car-prices", "kernel_id": "65071478"}, {"ref": "dhanrajcodes/prediction-used-car-price", "kernel_id": "65690214"}, {"ref": "dhanrajcodes/keras-tuner-used-car-prediction", "kernel_id": "65718756"}, {"ref": "jessicawarner/used-car-price-prediction", "kernel_id": "65692311"}, {"ref": "enricomanosperti/regression-of-used-car-prices", "kernel_id": "65083933"}, {"ref": "teranekerimova/car-prices-eda-ml-model", "kernel_id": "65116879"}, {"ref": "teranekerimova/cars-eda-nn-pytorch", "kernel_id": "65406528"}, {"ref": "teranekerimova/car-eda-ml-models", "kernel_id": "65864913"}, {"ref": "karthikreddy0101/used-car-prices", "kernel_id": "65166735"}, {"ref": "noodl35/xgb-vs-lgbm", "kernel_id": "65399707"}, {"ref": "noodl35/best-single-model-lgbm-no-blend", "kernel_id": "65251935"}, {"ref": "noodl35/adapting-backpackers-solution-only-lgbm", "kernel_id": "65876111"}, {"ref": "atharva0577/s4e9-carprices-skorch-lgb-svr", "kernel_id": "65391652"}, {"ref": "backpaker/s4e9-lgbm-cat-script", "kernel_id": "65506592"}, {"ref": "backpaker/lgbm-cat-baseline", "kernel_id": "65155892"}, {"ref": "backpaker/s4e9-lgbm-cat-mae-feature", "kernel_id": "65206046"}, {"ref": "backpaker/current-9-14-2nd-place-solution", "kernel_id": "65748560"}, {"ref": "trupologhelper/autogluon-the-simplest-solution", "kernel_id": "65086028"}, {"ref": "trupologhelper/ag-the-simplest-solution", "kernel_id": "65061841"}, {"ref": "syednazmussakib/neural-network", "kernel_id": "65211115"}, {"ref": "syednazmussakib/combined-data-feature-engineering-automl-h20", "kernel_id": "65194858"}, {"ref": "syednazmussakib/combined-data-eda-feature-engineering", "kernel_id": "65187981"}, {"ref": "syednazmussakib/ps4e9-eda-baseline-ensemble", "kernel_id": "65069174"}, {"ref": "syednazmussakib/ps4e9-automl-h2o", "kernel_id": "65069613"}, {"ref": "syednazmussakib/ps4e9-autogluon", "kernel_id": "65070150"}, {"ref": "yurajakadari/yuraza-kadri-latest-model", "kernel_id": "65794002"}, {"ref": "johnmelling/eda-regression-insights", "kernel_id": "65185111"}, {"ref": "gallo33henrique/ps4e9-machine-learning-regression-car", "kernel_id": "65140749"}, {"ref": "getanmolgupta01/used-car-prices-xgb-lgbm-cb-optuna", "kernel_id": "65719217"}, {"ref": "ismailalshofi/car-price-prediction-eda-nn", "kernel_id": "65755325"}, {"ref": "vishnupriyagarige/car-price-prediction-stackingregressor", "kernel_id": "65742502"}, {"ref": "vishnupriyagarige/used-car-price-prediction-xgbm", "kernel_id": "65098508"}, {"ref": "vishnupriyagarige/used-car-price-prediction-cat-boost", "kernel_id": "65098641"}, {"ref": "vishnupriyagarige/used-car-price-prediction-lgbm", "kernel_id": "65098757"}, {"ref": "gyogyocat/4-9base-tune-lgbm", "kernel_id": "65059145"}, {"ref": "shrikrishnaparab/used-car-price-prediction-with-deep-learning", "kernel_id": "65720100"}, {"ref": "sudeepfullel/xgb-cat-lgb-63267-53075", "kernel_id": "65261128"}, {"ref": "akshatsharma0610/car-price-prediction-xgboost", "kernel_id": "65433759"}, {"ref": "efetopalak/s4e9-basic-lgbm", "kernel_id": "65453342"}, {"ref": "lorenzy/42-ml-models-eda-for-car-pricing", "kernel_id": "65071850"}, {"ref": "kazoric/regression-of-used-car-prices-pytorch", "kernel_id": "65584735"}, {"ref": "tanishkpatil/prediction-of-used-car-prices-xgboost", "kernel_id": "65065312"}, {"ref": "kunrittyhe/used-car-prices-regression-eda", "kernel_id": "65428303"}, {"ref": "kunrittyhe/used-car-prices-autogluon", "kernel_id": "65707015"}, {"ref": "kunrittyhe/autogluon-lgbm-stack-lb-72226-3-oof-71162-3", "kernel_id": "65925156"}, {"ref": "anmatngu/easy-catboostregressor-simple-eda", "kernel_id": "65083043"}, {"ref": "moulayesididahi/regression-of-used-car-prices", "kernel_id": "65345433"}, {"ref": "arpit786/regressions-all", "kernel_id": "65904824"}, {"ref": "rabbitx86/begginer-lightgbm-optuna-score-72592-19859", "kernel_id": "65645250"}, {"ref": "zhalehalipour/used-cars-dslanders", "kernel_id": "65139090"}, {"ref": "zhalehalipour/zhaleh-blend-dslanders", "kernel_id": "65610280"}, {"ref": "wissamelias/car-price-guide-beginners-level-eda-nn", "kernel_id": "65843390"}, {"ref": "cosheimil/0-1-baseline", "kernel_id": "65383898"}, {"ref": "manubindra/car-prediction", "kernel_id": "65474871"}, {"ref": "omeiogami/playground202409", "kernel_id": "65079623"}, {"ref": "abeshith/ps4e9-xgb-lgbm-optuna", "kernel_id": "65081972"}, {"ref": "shreyasdasari7/automl-vs-autogluon-sell-cars-for-better", "kernel_id": "65254025"}, {"ref": "serhiikravtsov/usedcarsbaseline-ensemble", "kernel_id": "65090346"}, {"ref": "snehalkhandewale/resale-car-best-price", "kernel_id": "65793649"}, {"ref": "alkidiarete/h2o-ai-used-cars", "kernel_id": "65103009"}, {"ref": "hasanbasriuzun/car-prices-v1", "kernel_id": "65094501"}, {"ref": "oran11/regression-of-used-car-prices", "kernel_id": "65097610"}, {"ref": "arnavmishra6996/s4e9-h2o-automl", "kernel_id": "65190006"}, {"ref": "arnavmishra6996/s4e9-xgboost-optuna-optimization", "kernel_id": "65178289"}, {"ref": "arnavmishra6996/s4e9-blending", "kernel_id": "65892497"}, {"ref": "nicolemichaud/predicting-used-car-prices", "kernel_id": "65683547"}, {"ref": "mxmlnv/used-car-baseline-model", "kernel_id": "65243360"}, {"ref": "mxmlnv/used-car-prices-eda", "kernel_id": "65059599"}, {"ref": "mxmlnv/used-car-modelv2", "kernel_id": "65497862"}, {"ref": "samanfatima7/basic-used-car-price-prediction", "kernel_id": "65070430"}, {"ref": "martinapreusse/ps4e9-cat-svr-lgbm-nn-py", "kernel_id": "65668091"}, {"ref": "marydata/regression-of-used-car-prices-gbregressor", "kernel_id": "65190336"}, {"ref": "zehrarahimian/used-car-prices", "kernel_id": "65579000"}, {"ref": "faresrashed/lightgbm-different-ideas-in-data-preprocessing", "kernel_id": "65918992"}, {"ref": "kimkijun7/used-car-regression-with-r", "kernel_id": "65111988"}, {"ref": "sayedsalem/eda-with-easy-and-useful-techniques", "kernel_id": "65452755"}, {"ref": "sayedsalem/car-prediction-eda-using-several-models-with-cv", "kernel_id": "65743350"}, {"ref": "pacesetter55/simple-submission-using-catboost", "kernel_id": "65068281"}, {"ref": "nikitavet/used-cars-lama-ensemble", "kernel_id": "65191663"}, {"ref": "nikitavet/used-cars-baseline-ensemble", "kernel_id": "65174862"}, {"ref": "nikitavet/used-cars-mlp-tuned", "kernel_id": "65223748"}, {"ref": "nikitavet/used-cars-resnet-tuned", "kernel_id": "65218362"}, {"ref": "nikitavet/used-cars-denselight-tuned", "kernel_id": "65217253"}, {"ref": "nikitavet/used-cars-fttransformer-tuned", "kernel_id": "65351006"}, {"ref": "charlespelong/regression-stacking-lgbm-cat-for-used-car-prices", "kernel_id": "65895207"}, {"ref": "jmascacibar/pss4e9-eda-predictions", "kernel_id": "65434356"}, {"ref": "jmascacibar/label-encoding-rapids-random-forest", "kernel_id": "65603519"}, {"ref": "dmitriiming/used-car-price-prediction", "kernel_id": "65080576"}, {"ref": "fr0m1korn/notebookd8175f215b", "kernel_id": "65241684"}, {"ref": "fredericnicholson/polars-pipeline-pycaret", "kernel_id": "65686726"}, {"ref": "kimiaabdolahzadeh/car-price-dslanders", "kernel_id": "65685303"}, {"ref": "kimiaabdolahzadeh/eda-used-cars-dslanders", "kernel_id": "65160447"}, {"ref": "litsea/ps4e9-eda-cleaning-fe", "kernel_id": "65090253"}, {"ref": "tomo0531/0911-used-car-price", "kernel_id": "65546089"}, {"ref": "magewade/car-prices-eda-catboost", "kernel_id": "65867631"}, {"ref": "latypovramil/s4e9-features-extraction-getting-base-score", "kernel_id": "65106081"}, {"ref": "ayyc0404/regression-of-used-car-prices", "kernel_id": "65935295"}, {"ref": "luccarodriguez/lucca-linear-regression-from-scratch-on-cars", "kernel_id": "65969710"}, {"ref": "jarelgomes/car-price-regression-model-using-xgboost-kfold", "kernel_id": "65511042"}, {"ref": "jarelgomes/car-price-regression-model-using-pytorch", "kernel_id": "65510351"}, {"ref": "zeeshanyounas001/car-price-prediction-s4-e9-challenge", "kernel_id": "65264297"}, {"ref": "gaamoucimohamed/cars-competition-regression-problem", "kernel_id": "65800737"}, {"ref": "soumyag09/car-price-regression-eda-preprocessing-xgb-lgbm", "kernel_id": "65158144"}, {"ref": "anshikakashyap12/ps4e9-regression-of-used-car-prices", "kernel_id": "65117702"}, {"ref": "commentsm/regression-used-car-prices", "kernel_id": "65147107"}, {"ref": "commentsm/fork1-of-regression-used-car-prices", "kernel_id": "65499810"}, {"ref": "raghavgoyal25/used-car-prices-s4-e9", "kernel_id": "65319148"}, {"ref": "programmerjohncarter/used-car-prices-randomforestregressor", "kernel_id": "65693395"}, {"ref": "prashaantkumar/kaggle-regression-for-car-price", "kernel_id": "65552172"}, {"ref": "curtiscoding1/s4e9-optuna-feat-selection-outliers-xgb", "kernel_id": "65346330"}, {"ref": "curtiscoding1/s4e9-optuna-feature-select-filtering-tuning", "kernel_id": "65217385"}, {"ref": "curtiscoding1/s4e9-car-prices-feature-eng-model-tuning", "kernel_id": "65075097"}, {"ref": "curtiscoding1/s4e9-engine-feature-engineering", "kernel_id": "65076359"}, {"ref": "plamen06/random-forest-regression-model", "kernel_id": "65172748"}, {"ref": "plamen06/car-price-prediction-neural-network-regression", "kernel_id": "65062388"}, {"ref": "samiraalipour/usedcar-eda-automl-dslanders", "kernel_id": "65120200"}, {"ref": "samiraalipour/usedcarpricepred-eda-dslanders", "kernel_id": "65102056"}, {"ref": "mainscientist/ps-s4e9", "kernel_id": "65092359"}, {"ref": "caokhoihuynh/ps4e5-used-car-prices-regression-multi-model", "kernel_id": "65059005"}, {"ref": "sk0903273/used-car-price-prediction", "kernel_id": "65686493"}, {"ref": "amri11/used-car-price-eda-predict", "kernel_id": "65103938"}, {"ref": "yazeedalsahouri03/regression-of-used-car-prices", "kernel_id": "65292182"}, {"ref": "vivekkmr07/regression-of-used-car-prices", "kernel_id": "65920356"}, {"ref": "marianoweimer/an-analysis-about-used-cars-prices", "kernel_id": "65354502"}, {"ref": "younusmohamed/23-01-eda-detailed-eda", "kernel_id": "65189793"}, {"ref": "aliabdelmenam/used-car-price-regreesion", "kernel_id": "65390461"}, {"ref": "zaed2003/car-price-prediction-eda-and-visualization-insight", "kernel_id": "65481530"}, {"ref": "sczhuoffical/s-c-zhu-automl-method-on-single-model", "kernel_id": "65063407"}, {"ref": "sujaymann/used-cars-regression-voting-regressor", "kernel_id": "65860880"}, {"ref": "sujaymann/used-cars-regression-voting", "kernel_id": "65793200"}, {"ref": "sujaymann/used-car-price-regression", "kernel_id": "65062304"}, {"ref": "oleksiilatypov/car-prices-catboostregressor", "kernel_id": "65667724"}, {"ref": "zarnainsyed0/eda-feature-engr-neuralnets-couldn-t-get-better", "kernel_id": "65882402"}, {"ref": "zarnainsyed0/eda-feature-engr-lgbm", "kernel_id": "65375637"}, {"ref": "zarnainsyed0/easy-eda-hgbr-gb-xgbr", "kernel_id": "65420700"}, {"ref": "ramanfromindia/price-of-used-cars", "kernel_id": "65855032"}, {"ref": "abdosalah61038/usedcars-randomforest", "kernel_id": "65317901"}, {"ref": "ishaandhyani/getting-started-initial-analysis-baseline-score", "kernel_id": "65106351"}, {"ref": "kyuoma45/detailed-eda-and-preprocessing-used-car-prices", "kernel_id": "65190560"}, {"ref": "mikhailnaumov/used-car-prices-ensemble-no-blending", "kernel_id": "65118738"}, {"ref": "akhilpm1996/used-car-prices-prediction", "kernel_id": "65212054"}, {"ref": "ravaghi/s04e09-ensembling-techniques-for-regression", "kernel_id": "65898448"}, {"ref": "shraddhatripathi1906/regression-of-used-car-prices", "kernel_id": "65064355"}, {"ref": "realoxy3110/user-car-price-prediction", "kernel_id": "65597631"}, {"ref": "ghulamhiader/neural-networks", "kernel_id": "65721233"}, {"ref": "ghulamhiader/regression-for-used-cars", "kernel_id": "65069221"}, {"ref": "guilhermepoliveira/ps4e9-cleaning-eda-xgb", "kernel_id": "65365518"}, {"ref": "sirvana/usedcarprice-cat-boost-lgb-xgb-dslanders", "kernel_id": "65693723"}, {"ref": "sirvana/usedcarreg-blend-dslanders", "kernel_id": "65707438"}, {"ref": "sirvana/usedcarprice-randomforestregressor-dslanders", "kernel_id": "65357760"}, {"ref": "infinitelogic/regression-of-used-car-price-model", "kernel_id": "65461329"}, {"ref": "sowmyajayakanth/eda-featureengineering-xgb-lbgm", "kernel_id": "65614230"}, {"ref": "rajsharmakara/regression-of-used-car-prices", "kernel_id": "65819108"}, {"ref": "anthonytherrien/simple-used-car-prices-nn", "kernel_id": "65295115"}, {"ref": "anthonytherrien/simple-lightgbm-extended-dataset-used", "kernel_id": "65490040"}, {"ref": "abdmental01/autogluon-used-price-regression", "kernel_id": "65103270"}, {"ref": "abdmental01/get-started-used-car-prices", "kernel_id": "65059355"}, {"ref": "sojibbhattacharjee/eda-regression-of-used-car-prices", "kernel_id": "65068545"}, {"ref": "hassanraof/used-cars-using-lightbgm", "kernel_id": "65921564"}, {"ref": "syedsanaulla/used-car-prediction-score-73466-90717", "kernel_id": "65455889"}, {"ref": "randomguy24/used-cars-autogluon-automl-simple-approach", "kernel_id": "65200588"}, {"ref": "iammalaika/car-price-prediction", "kernel_id": "65465683"}, {"ref": "sulaniishara/s4-e9-used-car-prices-eda-catboost", "kernel_id": "65993350"}, {"ref": "khangtran94vn/khang-eda-car", "kernel_id": "65221684"}, {"ref": "mehakiftikhar/ps4e9-used-car-pricing-model-regression-analysis", "kernel_id": "65067276"}, {"ref": "d1om3d3s/s4e5-usedcar-price-eda-prediction", "kernel_id": "65091688"}, {"ref": "kutdusovruslan/car-prices-s4e9", "kernel_id": "65496433"}, {"ref": "angkul/regression-car", "kernel_id": "65116383"}, {"ref": "mueezuddin/car-sales", "kernel_id": "65180311"}, {"ref": "vishalpnaik/price-prediction-advance-analysis", "kernel_id": "65720186"}, {"ref": "chiyunhao/mixture-of-experts-moe-with-gating-network", "kernel_id": "65480978"}, {"ref": "muhumuzadeusai/regression-for-used-cars", "kernel_id": "65707064"}, {"ref": "koshijain/car-prices-prediction-lgbm", "kernel_id": "65062060"}, {"ref": "maxtiandi/ps4e9-optunavotingregressor-no-eda-fe", "kernel_id": "65479226"}, {"ref": "maxtiandi/ps4e9-stacking-with-linearregression-nn", "kernel_id": "65729195"}, {"ref": "alirasouli/lgbm-dslanders", "kernel_id": "65726843"}, {"ref": "alirasouli/ali-rasouli-autgluon", "kernel_id": "65525034"}, {"ref": "alirasouli/ali-rasouli-dslanders", "kernel_id": "65346417"}, {"ref": "nikipshg/baseline-catboost", "kernel_id": "65073340"}, {"ref": "ahmadfirman/playground-s4e9-starter", "kernel_id": "65058484"}, {"ref": "harsh221upadhyay/car-price-reg", "kernel_id": "65420335"}, {"ref": "muhammadfurqan0/wheels-deals-regression-modeling-for-cars", "kernel_id": "65497795"}, {"ref": "shahane806/regression-of-used-car-prices", "kernel_id": "65598656"}, {"ref": "mahdieh002/carprice-h2o-dslanders", "kernel_id": "65072269"}, {"ref": "satyajeetrai/ps4e9-eda", "kernel_id": "65222891"}, {"ref": "yteshima/ps4s9-ipywidgets-plotly-xgb-et-al", "kernel_id": "65073327"}, {"ref": "ycsstang/s4e9-with-catboost-tuning-with-optuna", "kernel_id": "65684894"}, {"ref": "yorkyong/s4e9-car-price-prediction", "kernel_id": "65893250"}, {"ref": "shvn22k/car-price-regression", "kernel_id": "65124613"}, {"ref": "anshulm257/revving-predictions-eda-xgb-catboost-lgbm", "kernel_id": "65326670"}, {"ref": "byteliberator/car-price-modelling", "kernel_id": "65062073"}, {"ref": "laurenainsleyhaines/used-car-price-prediction-with-ensembling-v2", "kernel_id": "65143041"}, {"ref": "laurenainsleyhaines/used-car-price-prediction-with-linearregression-v2", "kernel_id": "65133356"}, {"ref": "laurenainsleyhaines/used-car-prices-impute-missing-null-values", "kernel_id": "65368067"}, {"ref": "draganpinsent98/xgboost-liteboost-ensemble-submission", "kernel_id": "65854648"}, {"ref": "andreasbis/s4e9-regression-of-used-car-prices", "kernel_id": "65066558"}, {"ref": "metinmekiabullrahman/predicting-used-car-prices-with-xgboost", "kernel_id": "65371721"}, {"ref": "feliperodighero/eda-used-car-prices", "kernel_id": "65610768"}, {"ref": "scientificstephen/car-price-prediction", "kernel_id": "65501280"}, {"ref": "tushar552/used-car-prices-randomforestregressor", "kernel_id": "65295900"}, {"ref": "newhwan/art-of-buying-used-cars", "kernel_id": "65389629"}, {"ref": "dariuszbasiak/tf-regression", "kernel_id": "65309130"}, {"ref": "mainak2056/regression-with-lgbm-catboost-ensemble-model", "kernel_id": "65962664"}, {"ref": "leanaz/pg-s4e9-catboost-in-r", "kernel_id": "65687214"}, {"ref": "leanaz/pgs4e9-xgboost-in-r", "kernel_id": "65634812"}, {"ref": "ilkergungor/optuna-xgboost-plotly-eda-fe", "kernel_id": "65068536"}, {"ref": "yasrebi/cars-blend-dslanders", "kernel_id": "65479078"}, {"ref": "yasrebi/used-car-prices-dslanders", "kernel_id": "65190522"}, {"ref": "yasrebi/cars-optuna-dslanders", "kernel_id": "65899874"}, {"ref": "yasrebi/used-cars-eda-dslanders", "kernel_id": "65855973"}, {"ref": "yasrebi/cars-autogloun-dslanders", "kernel_id": "65958905"}, {"ref": "raghunandan9605/regression-on-car-prices", "kernel_id": "65074196"}, {"ref": "quantum09/can-i-sell-my-car-for-a-good-price", "kernel_id": "65061762"}, {"ref": "quantum09/baseline-for-starters-in-ps4e9", "kernel_id": "65768879"}, {"ref": "ahmedsamir1598/feature-engineering-sort-importance-lgb-cb-xgb", "kernel_id": "65384831"}, {"ref": "drathaliornus/notebook6bba590a10", "kernel_id": "65170020"}, {"ref": "jatinydv17/dl-in-used-car-price-prediction", "kernel_id": "65699177"}, {"ref": "shahbodsobhkhiz/random-forest-car-price-prediction", "kernel_id": "65813075"}, {"ref": "eliyahusanti/ps4e9-automl-fedot-8-hours", "kernel_id": "65069080"}, {"ref": "arjunaar2789/car-regression", "kernel_id": "65484446"}, {"ref": "zjzhao1002/used-car-prices-xgb", "kernel_id": "65267403"}, {"ref": "sayande01/used-car-pricing-regression-analysis", "kernel_id": "65178192"}, {"ref": "cartoonistbeard/playground4-9v2-ensemble-score-72428-63276", "kernel_id": "65724794"}, {"ref": "raka13123123/latian-gemastik-kocak", "kernel_id": "65747003"}, {"ref": "metinhsimimi/car-price-eda-and-prediction", "kernel_id": "65685944"}, {"ref": "marcusreul/used-cars", "kernel_id": "65364340"}, {"ref": "huavoyager/version1", "kernel_id": "65704435"}, {"ref": "nottheforce/pss4-xgb-randomcv1", "kernel_id": "65245667"}, {"ref": "aquibahmad7/advanced-regression-ensemble-top-19", "kernel_id": "65393422"}, {"ref": "danishyousuf19/using-neural-networks-for-car-price-prediction", "kernel_id": "65377151"}, {"ref": "danishyousuf19/regression-of-used-car-prices", "kernel_id": "65107029"}, {"ref": "chitramalam/carpredictionregression-mala", "kernel_id": "65239712"}, {"ref": "samuelotiattakorah/turbo-boosting-car-prices-with-gradient-power", "kernel_id": "65459286"}, {"ref": "vktsyp/xgboost-kfold-cv-used-car-prices", "kernel_id": "65608131"}, {"ref": "aranyakbanerjee007/carpricesregression", "kernel_id": "65211978"}, {"ref": "mennakhalifa04/car-prices-predictions", "kernel_id": "65489768"}, {"ref": "bishoynagy2020/car-eda-pre", "kernel_id": "65230621"}, {"ref": "mahmoudweso/gradientboostingregressor", "kernel_id": "65729522"}, {"ref": "yukodate/used-car-prices-eda", "kernel_id": "65060689"}, {"ref": "mandu5/regression-of-used-car-prices-v1", "kernel_id": "65963958"}, {"ref": "alex64noh/get-started-used-car-prices", "kernel_id": "65487092"}, {"ref": "yusufenes/regression-of-used-car-prices-gb-and-rscv", "kernel_id": "65359892"}, {"ref": "elahehkazemian/used-cars-pred-dslanders", "kernel_id": "65144878"}, {"ref": "elahehkazemian/4-dslanders", "kernel_id": "65250091"}, {"ref": "elahehkazemian/elaheh2-dslanders", "kernel_id": "65498412"}, {"ref": "elahehkazemian/blended-dslanders", "kernel_id": "65556525"}, {"ref": "elahehkazemian/lgbm-optuna-dslanders", "kernel_id": "65784683"}, {"ref": "elahehkazemian/18th-try-dslanders", "kernel_id": "65973147"}, {"ref": "elahehkazemian/elli-dslanders", "kernel_id": "65923515"}, {"ref": "trietp1253201581/regression-of-used-car-prices-s4e9", "kernel_id": "65103005"}, {"ref": "manintangkunathan/regression-of-used-carprice", "kernel_id": "65335252"}, {"ref": "manswad/download-dataset-s4e9", "kernel_id": "65851522"}, {"ref": "clemencetravers/s4-e9-gradient-boost-xgb-lbg-cat", "kernel_id": "65889584"}, {"ref": "clemencetravers/s4-e9-neural-network", "kernel_id": "65727431"}, {"ref": "amirmeymandi/auto-dslander", "kernel_id": "65349873"}, {"ref": "shubham2prakash/regression-of-used-car-prices", "kernel_id": "65062784"}, {"ref": "madhuraatmarambhagat/car-price-prediction-lgbm-regression", "kernel_id": "65080762"}, {"ref": "mircofia/regression-of-used-car-prices-lgbm-model", "kernel_id": "65261709"}, {"ref": "georgehanyfouad/regression-of-used-car-prices", "kernel_id": "65579691"}, {"ref": "aryagokh/exploring-used-car-prices-catboosted", "kernel_id": "65113544"}, {"ref": "aryagokh/exploring-used-car-prices-lgbm-xgb", "kernel_id": "65066071"}, {"ref": "aryagokh/automl-regression-car-price-baseline", "kernel_id": "65062762"}, {"ref": "aryagokh/exploring-used-car-prices-very-basic-lgbm", "kernel_id": "65060811"}, {"ref": "aryagokh/autogluon-regression-car-price-baseline-10hrs", "kernel_id": "65149110"}, {"ref": "aryagokh/exploring-used-car-prices-lightgbm", "kernel_id": "65175656"}, {"ref": "aryagokh/used-car-prices-xgb-lgb-blend-fromscratch", "kernel_id": "65260234"}, {"ref": "aryagokh/carprice-blend-2-automl", "kernel_id": "65371394"}, {"ref": "aryagokh/s4e9-autogluon-blend", "kernel_id": "65388506"}, {"ref": "aryagokh/top-5-blended-car-prices", "kernel_id": "65544103"}, {"ref": "aryagokh/exploring-used-car-price-oversampling-with-knn", "kernel_id": "65511320"}, {"ref": "mateuszgolebiewski/car-price-regression-competition", "kernel_id": "65086936"}, {"ref": "here78682/s4e9-regression-of-used-car-prices-overview", "kernel_id": "65061913"}, {"ref": "hamchicchi/u-car-prices-simple-data-handling-with-polars", "kernel_id": "65073843"}, {"ref": "qiaoqianda/car-price-pridict-with-tabular-transformer", "kernel_id": "65563974"}, {"ref": "rudenkobogdan/ps4e9-eda-ridge-regression-and-pytorch-nn", "kernel_id": "65112888"}, {"ref": "xxiwosxx/edadd", "kernel_id": "65843918"}, {"ref": "ashwanisah1137/regression-of-used-car-prices", "kernel_id": "65551226"}, {"ref": "ouside/xgboost-lightgbm", "kernel_id": "65473098"}, {"ref": "zhiyouzhang/used-car-price-regression-data-processing", "kernel_id": "65927698"}, {"ref": "zhiyouzhang/used-car-price-regression-data-observation", "kernel_id": "65911562"}, {"ref": "kebeling/notebook9062e97896", "kernel_id": "65926709"}, {"ref": "alperugurca/used-car-price-prediction-dataset", "kernel_id": "65918720"}, {"ref": "devodry/used-car-price", "kernel_id": "65250995"}, {"ref": "deeptvyas/car-price-prediction-using-tensorflow", "kernel_id": "65705542"}, {"ref": "swandipsingha/autoglun-lgbm-and-nn", "kernel_id": "65840803"}, {"ref": "changjipmoon/s9playground", "kernel_id": "65377688"}, {"ref": "mohamedalabasy/car-prices-ml", "kernel_id": "65490542"}, {"ref": "abdelrahmanemad594/used-cars-price-prediction-ml", "kernel_id": "65499246"}, {"ref": "abdelrahmansameh27/prediction-of-used-car-prices", "kernel_id": "65960603"}, {"ref": "owm4096/used-car-prices", "kernel_id": "65614128"}, {"ref": "serhiiyanovskii1/used-car-price-prediction-dataset", "kernel_id": "65553343"}, {"ref": "alikhodadadi1107/car-price-dslanders", "kernel_id": "65096801"}, {"ref": "alikhodadadi1107/car-price-train-catboost-dslanders", "kernel_id": "65875236"}, {"ref": "namanked11/cars-for-cash-using-regression", "kernel_id": "65793228"}, {"ref": "shayanshojaee/cars-eda-data-analytics-dslanders", "kernel_id": "65727787"}, {"ref": "shayanshojaee/cars-lgbm-dslanders", "kernel_id": "65863127"}, {"ref": "gingerz/used-car-prices-auto-gluon", "kernel_id": "65726692"}, {"ref": "abdelrhman690/usedcarsprice-prediction", "kernel_id": "65589931"}, {"ref": "ritikajagtap09/regression-of-used-car-prices", "kernel_id": "65434923"}, {"ref": "upam22/regression-used-car-price", "kernel_id": "65521378"}, {"ref": "marwanashref/s4e9-autogluon-blend", "kernel_id": "65482375"}, {"ref": "kparthiban007/price-of-used-cars", "kernel_id": "65487205"}, {"ref": "tomyuen/cars-in-range-150-250k", "kernel_id": "65245418"}, {"ref": "tomyuen/public-finding-error-150-250k", "kernel_id": "65272244"}, {"ref": "tomyuen/xgb-finding-exotic-car-1", "kernel_id": "65191162"}, {"ref": "tomyuen/median-price-submission", "kernel_id": "65141500"}, {"ref": "tomyuen/autogluon-worm-hole", "kernel_id": "65439276"}, {"ref": "tomyuen/data-cleaning-public", "kernel_id": "65539602"}, {"ref": "lithiago/projeto-pre-o-de-carros-usados", "kernel_id": "65699228"}, {"ref": "musahkaya/regression-of-used-car-prices", "kernel_id": "65922540"}, {"ref": "alipaziridslanders/used-car-price-prediction-cat-boost-dslanders", "kernel_id": "65065976"}, {"ref": "alipaziridslanders/car-price-eda-a-brief-overview", "kernel_id": "65065375"}, {"ref": "alipaziridslanders/catboost-optuna-dslanders", "kernel_id": "65717266"}, {"ref": "mayurgd/regressionofusedcarprices-lgbm", "kernel_id": "65213249"}, {"ref": "ibrahmkocaa/car-price-prediction", "kernel_id": "65676964"}, {"ref": "arpitagupta16/regression-of-used-car-price-eda-and-model-build", "kernel_id": "66364600"}, {"ref": "tilii7/how-to-get-71700-on-public-lb", "kernel_id": "66145053"}, {"ref": "bkanupam/tabular-neural-network", "kernel_id": "66059496"}, {"ref": "krulll/regression-of-car-prices-lgbm", "kernel_id": "66374907"}, {"ref": "simhan77/used-car-price-lgbm-and-eda", "kernel_id": "66536736"}, {"ref": "rushow/let-s-start-user-car-price-prediction", "kernel_id": "66297490"}, {"ref": "funxexcel/used-car-baseline-code", "kernel_id": "66653409"}, {"ref": "jonbown/regression-with-polars", "kernel_id": "66298178"}, {"ref": "mjamilmoughal/eda-and-feature-engineering-of-used-car-prices", "kernel_id": "66227830"}, {"ref": "mjamilmoughal/predictions-regression-of-used-car-prices", "kernel_id": "66277745"}, {"ref": "tooba10/modeling-eda", "kernel_id": "66353753"}, {"ref": "qsourav91/used-car-price-eda-with-fireducks", "kernel_id": "66530186"}, {"ref": "seyong73/store-sales-time-series", "kernel_id": "66021388"}, {"ref": "craigmthomas/play-s4e9-eda-models", "kernel_id": "66122488"}, {"ref": "ricopue/used-car-prices-autoencoder", "kernel_id": "66390463"}, {"ref": "dineshydv/s4e9-data-cleaning-and-feature-engineering", "kernel_id": "66514255"}, {"ref": "aliaabdulaziz/used-cars-price-prediction-machine-learning", "kernel_id": "66003722"}, {"ref": "pakbir3000/car-price-prediction-vf", "kernel_id": "66480217"}, {"ref": "abdelrhmanashraf/used-car-prediction", "kernel_id": "66558193"}, {"ref": "meryentr/basic-catboost-and-optuna-lb-72363", "kernel_id": "66121826"}, {"ref": "linuxvegalinuxvega/car-price-prediction-entity-embedings", "kernel_id": "66171435"}, {"ref": "julianamantebeadanso/predicting-used-cars-prices-adaboost-regression", "kernel_id": "66728669"}, {"ref": "swas06/regressioncarxgboost", "kernel_id": "66667358"}, {"ref": "daniil19189/simple-linear-regression-in-r-car-prices", "kernel_id": "66030990"}, {"ref": "mohamedabder/02-modelisation-of-used-car-prices", "kernel_id": "66562843"}, {"ref": "mohamedabder/01-complete-eda-of-used-car-prices-updated", "kernel_id": "66503775"}, {"ref": "mohamedabder/01-eda-of-used-car-prices-ipynb", "kernel_id": "66434339"}, {"ref": "syedmuhammadahmed/usedcarspriceprediction", "kernel_id": "66225961"}, {"ref": "sabyasachi96/tps-september2024-s4e9-dl-pytorch-target-encoding", "kernel_id": "66368972"}, {"ref": "mustafacivici/used-car-price-w-detail-data-cleaning-ml-automl", "kernel_id": "66325010"}, {"ref": "femionakunle/regression-of-used-cars", "kernel_id": "66526772"}, {"ref": "thomasmeiner/bluecast-v1-6-2-onb-test", "kernel_id": "66275032"}, {"ref": "alishalbayev/final-project-ai6102", "kernel_id": "66867407"}, {"ref": "pratishthachaturvedi/car-price-prediction-using-catboostregressor", "kernel_id": "66650099"}, {"ref": "sspan0019/s4e9-keras-multi-channel-deep-neural-network", "kernel_id": "66732940"}, {"ref": "sspan0019/s4e9-keras-deep-neural-network", "kernel_id": "66618263"}, {"ref": "spadel/do-i-have-data-leakage-ensemble-model", "kernel_id": "66677273"}, {"ref": "trnngclankhanh/regression-of-used-car-prices-fe-lgbm", "kernel_id": "66646507"}, {"ref": "thnhha/used-s-fe-only-lgbm", "kernel_id": "66513916"}, {"ref": "thnhha/used-s-fe-lgbm-cat", "kernel_id": "66357230"}, {"ref": "carlmalina/ps4e9-regression-of-used-car-prices", "kernel_id": "66007319"}, {"ref": "riachoudhari/car-price-prediction-all-regression-models", "kernel_id": "66324302"}, {"ref": "jakehan0709/lightgbm-catboost-ensembling-blending-method", "kernel_id": "66138930"}, {"ref": "chalseo/rmse-regression-used-car-prices", "kernel_id": "66475310"}, {"ref": "iamtapendu/regression-of-used-car-prices-eda-rmse-63k", "kernel_id": "66751566"}, {"ref": "erykwitkowski/used-car-prices-eda", "kernel_id": "66659685"}, {"ref": "erykwitkowski/a-beginner-salesman", "kernel_id": "66003295"}, {"ref": "htonmoy19/evaluating-different-regression-on-car-prices", "kernel_id": "66713389"}, {"ref": "matthuan/used-car-prices-xgb-regressor", "kernel_id": "66846010"}, {"ref": "seungw1n/used-car-price-prediction-sw", "kernel_id": "66509580"}, {"ref": "jiprud/car-prices-xgboost-residual-analysis", "kernel_id": "66445317"}, {"ref": "madhuri55/used-car-prices-regression", "kernel_id": "66640328"}, {"ref": "yousefnooredin/used-car-price-prediction-robust-dslanders", "kernel_id": "66089876"}, {"ref": "adnananam/who-s-gonna-buy-my-car", "kernel_id": "66426701"}, {"ref": "omidsakaki1370/used-car-prices-multi-channel-conv1d", "kernel_id": "66401341"}, {"ref": "hoon0303/mse-mae-autogluon", "kernel_id": "66534317"}, {"ref": "vivekkr83/regression-of-used-car-prediction", "kernel_id": "66340690"}, {"ref": "bishalbishal/used-car-price-prediction-bishal", "kernel_id": "66479324"}, {"ref": "omidbaghchehsaraei/h2o-distributed-random-forest-drf", "kernel_id": "66509157"}, {"ref": "berkayeserr/s4e9-used-car-prices", "kernel_id": "66381878"}, {"ref": "emreoban/feature-eng-lgboost-xgboost-stacking", "kernel_id": "66594699"}, {"ref": "rv1922/s4-e9-car-price-prediction-autogluon", "kernel_id": "66421009"}, {"ref": "rv1922/s4-e9-can-used-car-sell-more-price", "kernel_id": "66449742"}, {"ref": "rv1922/s4-e9-regression-of-used-car-price-xgboost", "kernel_id": "66540520"}, {"ref": "rv1922/s4-e9-car-resale-value-automl-lgbm", "kernel_id": "66654572"}, {"ref": "rv1922/s4-e9-regression-of-car-prices-blending", "kernel_id": "66561164"}, {"ref": "rv1922/s4-e9-regression-of-used-car-prediction-automl", "kernel_id": "66585953"}, {"ref": "rv1922/s4-e9-used-car-price-resale-value", "kernel_id": "66619111"}, {"ref": "rv1922/s4-e9-used-car-price-prediction-xgb-lgbm", "kernel_id": "66620128"}, {"ref": "rv1922/s4-e9-mileage-millionaire-maker-rmse-72239", "kernel_id": "66315104"}, {"ref": "rv1922/s4-e9-resale-value-prediction-auto-ml", "kernel_id": "66713132"}, {"ref": "rahmasleam/used-car-prices-using-pycaret-ann", "kernel_id": "66040206"}, {"ref": "alamukiiraakha/car-price-prediction-using-neural-network", "kernel_id": "66386911"}, {"ref": "yuraslastya/optuna-cv-for-catboost-xgb-lgbm-regressors", "kernel_id": "66573540"}, {"ref": "yuraslastya/car-prices-stacking-lgbm-xgb-and-catboost-with-fe", "kernel_id": "66561128"}, {"ref": "yuraslastya/feature-engeneering", "kernel_id": "66450843"}, {"ref": "rajawatdevendrasingh/used-car-prediction-model1-dev12", "kernel_id": "66353153"}, {"ref": "jayshrivastava/optuna-random-and-grid-search-trials-best-params", "kernel_id": "66115716"}, {"ref": "sabetm/eda-on-used-car-prices-ms-dslanders", "kernel_id": "66070232"}, {"ref": "suhailaaboubakr/regression-of-used-car-prices-using-lgbm", "kernel_id": "66724172"}, {"ref": "arancium/ps4e9-polars-xgb", "kernel_id": "66413202"}, {"ref": "mehyarmlaweh/regression-of-used-car-prices-xgb-73555-score", "kernel_id": "66282077"}, {"ref": "aryanmadaan/eda-and-feature-engineering-new", "kernel_id": "66613646"}, {"ref": "sh223123/notebook528f715d50", "kernel_id": "66486293"}, {"ref": "monsdj/car-price-prediction-ml-approach", "kernel_id": "66680060"}, {"ref": "meminba/car-prices-analysis", "kernel_id": "66735088"}, {"ref": "emirtatlc/ps4e9-ensemble-weight-optimization-car-price-pred", "kernel_id": "66437071"}, {"ref": "aspnet222/carprice-prerdiction-rohollah-mahmodiany-dslanders", "kernel_id": "66076225"}, {"ref": "adastroabyssosque/prediction-with-lgbm", "kernel_id": "66448095"}, {"ref": "sumit08/regression-of-used-car-price-using-xgboost", "kernel_id": "66623958"}, {"ref": "sumit08/regression-of-used-car-prices-using-randomforest", "kernel_id": "66567843"}, {"ref": "grooper/predict-car-price-with-feature-engineering", "kernel_id": "66651722"}, {"ref": "lakshmipriya190803/eda-xgboost-catboost-nn", "kernel_id": "66640619"}, {"ref": "archismancoder/regressionofusedcarprices-lgbm", "kernel_id": "66612088"}, {"ref": "archismancoder/regressionofusedcarprices-mlensemble", "kernel_id": "66608570"}, {"ref": "alisoleymani69/lightgbm-4-9", "kernel_id": "66093090"}, {"ref": "alisoleymani69/eda-used-cars-dslanders", "kernel_id": "66104768"}, {"ref": "muhammedtuncayaydn/cat-xgb-ensemble-model", "kernel_id": "66832144"}, {"ref": "mdiftekharmahmud/used-cars-price-prediction", "kernel_id": "66352693"}, {"ref": "crisbebop/car-prices-prediction", "kernel_id": "66521769"}, {"ref": "endritmustafa/car-price-prediction", "kernel_id": "66732956"}, {"ref": "robertopariente/ensembling-xgb-lgb-cat-base-model-optuna", "kernel_id": "66248108"}, {"ref": "robertopariente/using-neural-networks-to-predict-used-car-prices", "kernel_id": "66340465"}, {"ref": "youssefbenaouda/data-viz-optuna-gradientboosting", "kernel_id": "66347785"}, {"ref": "vishnupriyagarige/car-price-prediction-tpotregressor", "kernel_id": "66345095"}, {"ref": "vishnupriyagarige/car-price-prediction-h2o", "kernel_id": "66346284"}, {"ref": "vishnupriyagarige/car-price-prediction-ada-boost", "kernel_id": "66225319"}, {"ref": "vishnupriyagarige/gradientboostingregressor-pipeline", "kernel_id": "66021184"}, {"ref": "yunsuxiaozi/gomate-framework-usage", "kernel_id": "66596169"}, {"ref": "srj321/price-prediction-of-used-vehicles", "kernel_id": "66277135"}, {"ref": "lorenzy/42-ml-models-with-eda", "kernel_id": "66502739"}, {"ref": "lorenzy/gradientboostingregressor", "kernel_id": "66470934"}, {"ref": "lorenzy/lightgbm", "kernel_id": "66470997"}, {"ref": "enesgok/used-car-price-prediction-dgeg17-allcode", "kernel_id": "66737275"}, {"ref": "kunrittyhe/used-car-prices-catboost", "kernel_id": "66530861"}, {"ref": "kunrittyhe/used-car-prices-autogluon-full-train", "kernel_id": "66412822"}, {"ref": "moulayesididahi/regression-with-automl", "kernel_id": "66128971"}, {"ref": "iitm21f1002762/used-car-price-solution-lgb", "kernel_id": "66658362"}, {"ref": "duanzhilong/used-car-prices", "kernel_id": "66021386"}, {"ref": "offwitt0/regression-of-used-car-prices", "kernel_id": "66607160"}, {"ref": "nickkrikota/car-price-regression", "kernel_id": "66288459"}, {"ref": "ounimed/notebookd324c3e0f1", "kernel_id": "66579095"}, {"ref": "snehalkhandewale/best-price-guaranteed", "kernel_id": "66740348"}, {"ref": "aleyhere/car-price-prediction-using-all-regression-models", "kernel_id": "66714058"}, {"ref": "palliplease/simple-linear-regression-method", "kernel_id": "66179357"}, {"ref": "mweglowski/used-car-prices-competition", "kernel_id": "66436006"}, {"ref": "borishuljak/mse-mae-autogluon-current-best-shared-nb-score", "kernel_id": "66456656"}, {"ref": "oran11/s4e9-did-something", "kernel_id": "66330659"}, {"ref": "mxmlnv/preprocess", "kernel_id": "66032683"}, {"ref": "mxmlnv/stacking-hgbclassifier-lgbm-xgbm", "kernel_id": "66427003"}, {"ref": "akinert/advanced-data-cleaning-rf", "kernel_id": "66736385"}, {"ref": "nayansubedi1/autogluon", "kernel_id": "66245899"}, {"ref": "nayansubedi1/ensemble", "kernel_id": "66080051"}, {"ref": "zeeshanahmad485/regression-used-car", "kernel_id": "66408256"}, {"ref": "nadaabodegham/used-cars-price", "kernel_id": "66033794"}, {"ref": "shreyasur965/price-prediction-of-used-cars-lgbm", "kernel_id": "66395124"}, {"ref": "abhishekm0403/used-car-prediction", "kernel_id": "66438847"}, {"ref": "kimiaabdolahzadeh/car-price2-dslanders", "kernel_id": "66099390"}, {"ref": "tomo0531/top-10-distinctive-ensemble-model", "kernel_id": "66456552"}, {"ref": "tomo0531/top25-lgbm-gbr-good-preprocessing", "kernel_id": "66454571"}, {"ref": "rosin9/modified-feature-autogluon-s4e9", "kernel_id": "66642089"}, {"ref": "rosin9/price-prediction-of-used-car-s4e9-no-blending", "kernel_id": "66547580"}, {"ref": "danyamyakota/s4e9-car-prices-prediction", "kernel_id": "66453830"}, {"ref": "luccarodriguez/fork-of-random-forest-dt-regression-for-cars", "kernel_id": "66386256"}, {"ref": "daanchoi/top-20-lgbm-preprocessing-optuna-s4e9", "kernel_id": "66653220"}, {"ref": "commentsm/fork2-of-regression-used-car-prices", "kernel_id": "66241818"}, {"ref": "commentsm/fork3-deletions-of-regression-used-car-prices", "kernel_id": "66527364"}, {"ref": "benjoeclark/oct-2024-competition", "kernel_id": "66459067"}, {"ref": "mehranommani/car-price", "kernel_id": "66580026"}, {"ref": "engineerfrabbi/notebook744b2884cd", "kernel_id": "66642175"}, {"ref": "engineerfrabbi/notebook1f0a0fafd6", "kernel_id": "66646634"}, {"ref": "engineerfrabbi/regression-of-used-car-prices", "kernel_id": "66499693"}, {"ref": "amri11/used-car-price-random-forest", "kernel_id": "66049426"}, {"ref": "dilannihadioglu/regression-of-used-car-prices", "kernel_id": "66084686"}, {"ref": "anuragraj03/cars-playground-showdown", "kernel_id": "66755610"}, {"ref": "alihassanshahid/regression-of-used-car-prices", "kernel_id": "66272355"}, {"ref": "mrigaankjaswal/ps-s4-e9-lgbm-ann-linear-cat-hgbr", "kernel_id": "66687628"}, {"ref": "ilayeesade/regression-of-used-car-prices-eda-xgb-lgbm-optuna", "kernel_id": "66061551"}, {"ref": "baseershah/data-preprocessing-for-gbdt-performance-increase", "kernel_id": "66277127"}, {"ref": "amankumarjha2020/playground-series-used-car-price-prediction-s4e9", "kernel_id": "66625641"}, {"ref": "prathamshahmldlds/torchann-gpu-bayesian-hyperparam-tuning-2", "kernel_id": "66726919"}, {"ref": "prathamshahmldlds/torchann-gpu-bayesian-hyperparam-tuning-3", "kernel_id": "66727729"}, {"ref": "prathamshahmldlds/torchann-gpu-bayesian-hyperparam-tuning", "kernel_id": "66726055"}, {"ref": "prioahmed/regression-analysis-basic-foundation", "kernel_id": "66521839"}, {"ref": "ghulamhiader/decision-trees", "kernel_id": "66570335"}, {"ref": "arth09/car-price-prediction-linear-regression", "kernel_id": "66654256"}, {"ref": "arth09/used-car-price-prediction-linear-regression", "kernel_id": "66767980"}, {"ref": "nilotpalmaitra/regression-of-used-car-prices-with-pipelining", "kernel_id": "66513849"}, {"ref": "sirvana/first-autogloun-dslanders", "kernel_id": "66036728"}, {"ref": "sirvana/usedcarprice-boosts", "kernel_id": "66520197"}, {"ref": "sirvana/carusedprice-bigblander-dslanders", "kernel_id": "66522251"}, {"ref": "swekerr/s4-e9-used-car-price-prediction-pytorch", "kernel_id": "66516242"}, {"ref": "zeel0725/regression-of-used-car-prices-evaluation", "kernel_id": "66897398"}, {"ref": "zeel0725/regression-of-used-car-prices-model-training", "kernel_id": "66940256"}, {"ref": "syedsalmanalizaidi/how-to-do-data-pre-processing", "kernel_id": "66437814"}, {"ref": "parv09/regression-of-used-car-prices", "kernel_id": "66211624"}, {"ref": "volkanastasia/used-cars-regression-data-cleaning-fe-baseline", "kernel_id": "66732127"}, {"ref": "volkanastasia/used-cars-regression-new-features-and-lgbm", "kernel_id": "66720621"}, {"ref": "rohmatulummah/car-price-prediction-using-machine-learning-models", "kernel_id": "66662403"}, {"ref": "roqayyeh/usedcarpricereg", "kernel_id": "66591886"}, {"ref": "botaylaamin/used-car-price-with-multiple-models", "kernel_id": "66520611"}, {"ref": "jeonyeongjin/regression-of-used-car-prices", "kernel_id": "66684971"}, {"ref": "hassanraof/advanced-techniques-in-used-car-price-prediction", "kernel_id": "66735957"}, {"ref": "ericzarycki/very-simple-xgboost-model", "kernel_id": "66295135"}, {"ref": "angusleung100/regression-of-used-car-prices-competition-script", "kernel_id": "66672401"}, {"ref": "randomguy24/regression-xgb-lgbm-cb-ensemble-w-optuna", "kernel_id": "66343904"}, {"ref": "muhammaadmuzammil008/eda-random-forest-xgboost", "kernel_id": "66457589"}, {"ref": "darebaaz/regression-by-only-using-int-col-and-ext-col", "kernel_id": "66382015"}, {"ref": "alirasouli/ali-rasouli-autogluon2-dslanders", "kernel_id": "66552054"}, {"ref": "sunnyvarnawal/car-price-prdiction", "kernel_id": "66261307"}, {"ref": "trenttzzz/used-car-prices-prediction-using-xgb-regressor", "kernel_id": "66383504"}, {"ref": "vishalpatwa/used-car-price-prediction", "kernel_id": "66721891"}, {"ref": "aditi2005/optuna-lightgbm-catboost-xgboost", "kernel_id": "66442903"}, {"ref": "kimseongeon/current-9-14-2nd-place-solution-feature-deletion", "kernel_id": "66067955"}, {"ref": "kimseongeon/regression-of-used-car-prices-eda-240919-se", "kernel_id": "66005093"}, {"ref": "harshitstark/regression-of-used-car-prices", "kernel_id": "66123963"}, {"ref": "ppwojtekb/python-yggdrasil-df-regression-cookbook", "kernel_id": "66674954"}, {"ref": "hadibadami/rmse-13k-linear-regression", "kernel_id": "66947803"}, {"ref": "raghunandan9605/regression-of-used-car-prices-xg-boost", "kernel_id": "66257964"}, {"ref": "karimosama7/car-prediction", "kernel_id": "66595482"}, {"ref": "srujanrkumar/car-price-kaggle-comp-reg-and-eda", "kernel_id": "66625181"}, {"ref": "shivaniawati/linear-regression-of-used-car-prices", "kernel_id": "66617264"}, {"ref": "faresashraf1001/used-car-price-prediction-comptetion", "kernel_id": "66283953"}, {"ref": "timurburovvv/my-firstmodel-automl-eda", "kernel_id": "66612680"}, {"ref": "timurburovvv/catboost-xgboost-eda", "kernel_id": "66652738"}, {"ref": "timurburovvv/catboost-xgboost-best-score", "kernel_id": "66661849"}, {"ref": "timurburovvv/lgbm-cat-bagging", "kernel_id": "66668468"}, {"ref": "remifigea/car-prices-prediction-keras", "kernel_id": "66311810"}, {"ref": "remifigea/hyperparameters-analyse-keras", "kernel_id": "66327664"}, {"ref": "remifigea/car-prices-prediction-lgbm", "kernel_id": "66116583"}, {"ref": "peymanarmaghan/s4e9-regression-of-used-car-prices", "kernel_id": "66475813"}, {"ref": "ayushpatel09/regression-of-used-cars", "kernel_id": "66561456"}, {"ref": "marius2303/top-9-regression-of-ucp-lgbm-cbr", "kernel_id": "66185037"}, {"ref": "andreagobbez/regression-of-used-car-prices", "kernel_id": "66619150"}, {"ref": "rajasekhar017/used-car-price-prediction", "kernel_id": "66438879"}, {"ref": "christophjaeger/regression-of-used-car-prices", "kernel_id": "66777049"}, {"ref": "yaarkaantademir/regression-for-car-prices", "kernel_id": "66465521"}, {"ref": "takapis/regression-of-used-car-prices-cat-xgb-lgbm-mix", "kernel_id": "66184270"}, {"ref": "bhuvanapichaimuthu/used-cars-price-prediction-on-rmse", "kernel_id": "66464823"}, {"ref": "ismailelyan/used-car-prices-prediction", "kernel_id": "66666461"}, {"ref": "nguyenmm/predict-used-car-price", "kernel_id": "66682852"}, {"ref": "rudenkobogdan/ps4e9-sweetviz-and-xgb", "kernel_id": "66567012"}, {"ref": "ugurokarapunar/used-price", "kernel_id": "66470918"}, {"ref": "kebeling/car-prices-regression", "kernel_id": "66701223"}, {"ref": "swandipsingha/s4e9-deep-learning", "kernel_id": "66205388"}, {"ref": "harshsharma1128/used-car-regression", "kernel_id": "66712693"}, {"ref": "mianbilal12/regression-task-for-car-price-pridiction", "kernel_id": "66511756"}, {"ref": "shayanshojaee/used-car-prices-xgb-lgbm-cb-dslanders", "kernel_id": "66098154"}, {"ref": "midamidaa/notebook1", "kernel_id": "66194576"}, {"ref": "abhishridhar/used-car-prices-regression", "kernel_id": "66229390"}, {"ref": "trispark/exploring-models-3rd", "kernel_id": "66355573"}, {"ref": "gladwinpaulbiju/regression-of-used-car-xgboost", "kernel_id": "66324589"}, {"ref": "medhangshidas/regression-of-used-car-prices", "kernel_id": "66406846"}, {"ref": "isseimatsuzoe/regression-used-cars-issei", "kernel_id": "66647481"}, {"ref": "victusadi/car-prices", "kernel_id": "66295786"}, {"ref": "alipaziridslanders/colab-written-notebook-eda-and-preproccessing", "kernel_id": "66605810"}, {"ref": "alipaziridslanders/new-prediction", "kernel_id": "66010977"}, {"ref": "abdulmannankhan1/used-car-price-prediction-lgbm-by-amk", "kernel_id": "66329064"}, {"ref": "deepukumarrajak/car-price-prediction-using-ann", "kernel_id": "66663344"}, {"ref": "yashahockliff/my-reg-try", "kernel_id": "66689853"}, {"ref": "mrinvinsible/autogoluon-sora", "kernel_id": "66206111"}, {"ref": "smitshah0611/dm-project-group-12", "kernel_id": "66896346"}, {"ref": "corbettchuran/elastic-net-regression-of-used-car-prices", "kernel_id": "66727057"}, {"ref": "mellouky/used-cars-prediction", "kernel_id": "66335916"}, {"ref": "jessstevenson/price-predictor-for-used-cars-slaps-top-of-car", "kernel_id": "66678800"}, {"ref": "susant4learning/used-car-prediciton-best-of-ml", "kernel_id": "67267796"}, {"ref": "danilocardoso/car-prices-rf-xgb-power-bi", "kernel_id": "67218705"}, {"ref": "islamwahid/prediction-car-price-using-all-model-with-gradio", "kernel_id": "67546187"}, {"ref": "sharonkevin/used-car-prices", "kernel_id": "67206848"}, {"ref": "pranaych100/used-car-price-prediction-advance-notebook", "kernel_id": "67179651"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "mushei/regression-of-used-car-prices-model", "kernel_id": "67089336"}, {"ref": "konradykowski/nn-debug-72krmse", "kernel_id": "67221081"}, {"ref": "hadyrashad/car-price-prediction", "kernel_id": "68478055"}, {"ref": "dvaled/used-car-regression-stack-regressor", "kernel_id": "68073999"}, {"ref": "furkanorbeyi/notebook52dc2724be", "kernel_id": "68921682"}, {"ref": "hagerezz7/used-cars", "kernel_id": "68060598"}, {"ref": "dimitriskon/regression-of-used-car-prices", "kernel_id": "68014204"}, {"ref": "keshabkkumar/car-price-prediction", "kernel_id": "69082617"}, {"ref": "jasonliowyihuan/car-price-prediction", "kernel_id": "69285776"}, {"ref": "saimnasir/used-car-prices-prediction-xgb-isolationforest", "kernel_id": "69231209"}, {"ref": "kazuhirofujimori/prediction-by-deeplearning-regression-model", "kernel_id": "70154237"}, {"ref": "mustafacivici/s4e9-regression-with-blended-methods", "kernel_id": "70335791"}, {"ref": "michael1o2/used-car-prices", "kernel_id": "70143656"}, {"ref": "fedorkaltiugin/regression-of-used-car-prices", "kernel_id": "70668409"}, {"ref": "mos3santos/o-pre-os-dos-carros-usados", "kernel_id": "71866699"}, {"ref": "aayushiweb/regression-car-price", "kernel_id": "71956318"}, {"ref": "zygmuntyt/car-prices-xgb-cat-pr-score-63293", "kernel_id": "71859922"}, {"ref": "iremtorun/regresyon", "kernel_id": "71359812"}, {"ref": "ryosukekawauchi/predict-used-car-price-v3", "kernel_id": "71365722"}, {"ref": "pratham40/solution-practical-pratham", "kernel_id": "71973583"}, {"ref": "rajkailas/used-car-prices-eda-xgboost-randomforest", "kernel_id": "72997202"}, {"ref": "ryosukekawauchi/predict-used-car-price-v4", "kernel_id": "72881694"}, {"ref": "vktsyp/lightgbm-feature-engineering-insurance", "kernel_id": "72978547"}, {"ref": "hariharan849/used-car-regression", "kernel_id": "73033194"}, {"ref": "priyambodaghosh/regression-of-used-car-prices-by-priyamboda-ghosh", "kernel_id": "73936187"}, {"ref": "linhnhat2012/user-car-price-prediction-by-xgb-model", "kernel_id": "73508169"}, {"ref": "alialmashni/group-8-de", "kernel_id": "73302541"}, {"ref": "neonboy19/used-car-prices-using-tree-based-algos", "kernel_id": "74756170"}, {"ref": "mattspotify2023/used-car-prices-linear-regression-simple", "kernel_id": "74486032"}, {"ref": "sonualexantony/regression-of-used-car-prices-competition", "kernel_id": "75810055"}, {"ref": "muhammadusamazaman/regression-of-used-car-prices", "kernel_id": "76398705"}, {"ref": "deadier/linear-regression-of-used-car-prices", "kernel_id": "76864539"}, {"ref": "konstantin1212/the-best-feauture", "kernel_id": "76599291"}, {"ref": "wangyong101/tidymodels-recieps-workflow-set-stack", "kernel_id": "77028227"}, {"ref": "chitrakshsingh/car-prices-ml", "kernel_id": "77145105"}, {"ref": "gingerz/regression-on-used-car-prices-autogluon", "kernel_id": "77802706"}, {"ref": "vnniciusgabriel/regression-used-car-prices", "kernel_id": "77625344"}, {"ref": "mariamhamada/car-price-predication-lightboosting", "kernel_id": "78748383"}, {"ref": "mesutbagl/regression-of-used-car-prices", "kernel_id": "78884936"}, {"ref": "sanoyoshiki/regression-of-used-car", "kernel_id": "78206644"}, {"ref": "bechirbentekfa/used-cars-price-predicion", "kernel_id": "81220694"}, {"ref": "din1919/price-prediction-spbu", "kernel_id": "81839743"}, {"ref": "vampiredatanerd/car-prices-rf-xgb-power-bi", "kernel_id": "81396824"}, {"ref": "vampiredatanerd/simple-lightgbm-extended-dataset-used", "kernel_id": "81396831"}, {"ref": "oxon976/playground-series-s4e9", "kernel_id": "82720909"}, {"ref": "yunbeomlee/regression-of-used-car-prices", "kernel_id": "82965281"}, {"ref": "oxon976/playground-series-s4e9-rf", "kernel_id": "83732306"}, {"ref": "manthanvarmas/used-car-prices-prediction", "kernel_id": "85781839"}, {"ref": "itoshumpe/notebook0df3492b30", "kernel_id": "85943672"}, {"ref": "nuime2025/notebook77f66b0d69", "kernel_id": "85942689"}, {"ref": "chawthinn21/used-car-price-prediction", "kernel_id": "85990377"}, {"ref": "mehmetuurkuru/regression-of-used-car-prices", "kernel_id": "87338993"}, {"ref": "macmini62/regression-of-used-car-prices", "kernel_id": "87338930"}, {"ref": "shimizuyuk1/notebook556c07a1f9", "kernel_id": "87336776"}, {"ref": "naomasakirihata/notebookc040f53e05", "kernel_id": "87295676"}, {"ref": "zakaiii/2025ds-gw-vf", "kernel_id": "87798867"}, {"ref": "inuetmy/aaabbbccddddett1111", "kernel_id": "87779392"}, {"ref": "inuetmy/abcdeabcde", "kernel_id": "87337236"}, {"ref": "nuime2025/notebook81f7749d22", "kernel_id": "87336672"}, {"ref": "alperr/car-price-prediction-2", "kernel_id": "88895133"}, {"ref": "rhansacitcinolu/car-prices-visualization-ml-public-score-80016-03", "kernel_id": "88124287"}, {"ref": "utkarshgaikwad1994/learnable-embeddings-approach", "kernel_id": "88508645"}, {"ref": "devsurakshitkapoor/regression-models-tuning-xgboost", "kernel_id": "88357436"}, {"ref": "ouzhanakr/late-submission-ps-s4e9", "kernel_id": "89764974"}, {"ref": "asadwani/car-sale-prediction", "kernel_id": "89196871"}, {"ref": "liyanaltahrawi/price-cars-prediction-eda-blending", "kernel_id": "90197252"}, {"ref": "sidde95/price-my-ride-ml-approach-to-car-valuation", "kernel_id": "93195950"}, {"ref": "chrangaswamyreddy/regression-of-used-car-prices", "kernel_id": "94801044"}, {"ref": "kandibandalasya/car-prediction", "kernel_id": "94453642"}, {"ref": "samhitardy2801/regression-of-used-car-prices-ml", "kernel_id": "94409035"}, {"ref": "varunmittapalli/regression-of-used-car-prices", "kernel_id": "94927239"}, {"ref": "kesarjain31/used-cars", "kernel_id": "94873524"}, {"ref": "srinathreddy2027/used-cars-regression", "kernel_id": "95060394"}, {"ref": "angkul/regression-of-used-car-prices", "kernel_id": "97203360"}, {"ref": "aryangupta15102005/regression-of-used-car-prices-prediction", "kernel_id": "97787543"}, {"ref": "rockarun/used-car-price-prediction-3ee597", "kernel_id": "98614004"}, {"ref": "ashishgupta2601/used-car-prices-prediction-ashish-301", "kernel_id": "98261711"}, {"ref": "anuragdwivedi321/used-cars-price-prediction", "kernel_id": "98261939"}, {"ref": "anshkatiyar1gos/used-car-price-prediction-c3f871", "kernel_id": "98261182"}, {"ref": "aparna65436/used-car-prices-prediction", "kernel_id": "98262250"}, {"ref": "armashsiddiqui/used-car-prices-prediction", "kernel_id": "98262160"}, {"ref": "ayushmanitiwari/used-cars-price-prediction-ayush", "kernel_id": "98260893"}, {"ref": "anshu1710/used-cars-price-prediction233", "kernel_id": "98261122"}, {"ref": "bibitsingh/used-car-prices-prediction-by-bibit-singh", "kernel_id": "98649829"}, {"ref": "anshita2708/used-cars-regression", "kernel_id": "98261564"}, {"ref": "aryankushwah11/used-car-prices-prediction-d3877d", "kernel_id": "98262573"}, {"ref": "dhairyapratapsolanki/used-car-prices-prediction-dhairya", "kernel_id": "98261003"}, {"ref": "anshikamishra2828/used-car-prices-prediction", "kernel_id": "98262354"}, {"ref": "anushkayadav2/used-car-price-prediction", "kernel_id": "98329849"}, {"ref": "ayushsinha30/used-car-predictions", "kernel_id": "98332887"}, {"ref": "aryanyadav0950/regression-of-used-car-prices", "kernel_id": "98262297"}, {"ref": "ayushkatiyar334/used-car-price-prediction", "kernel_id": "98339194"}, {"ref": "dhruvbansal333/used-car-prices-prediction-dhruv-bansal", "kernel_id": "98260931"}, {"ref": "anshika224/regression-of-used-car-2025", "kernel_id": "98262532"}, {"ref": "anshika224/used-cars-price-prediction-2025", "kernel_id": "98261468"}, {"ref": "anshika128/regression-of-used-car-prices", "kernel_id": "98260988"}, {"ref": "ashutoshgiri21/used-car-price-prediction", "kernel_id": "98340984"}, {"ref": "chandani0609/regression-of-used-car-prices-ml", "kernel_id": "98261106"}, {"ref": "devansh07o/used-car-submissions-devansh", "kernel_id": "98261455"}, {"ref": "utkarshkharche/notebook-utkarsh", "kernel_id": "107059011"}, {"ref": "amitasoni/car-price-prediction-amita-soni", "kernel_id": "107120434"}, {"ref": "achyutghimire/notebookc3c37652c5", "kernel_id": "107044867"}, {"ref": "emranalbiek/used-cars-prices", "kernel_id": "108964533"}, {"ref": "leyuzakoksoken/car-price-prediction-with-catboostregressor", "kernel_id": "108372223"}, {"ref": "ahmedkelsayed/lab-6", "kernel_id": "109502086"}, {"ref": "sevvalclalcebeciolu/used-car-price-prediction", "kernel_id": "109261787"}, {"ref": "rbi1337/notebook90dceb0bfd", "kernel_id": "111920783"}, {"ref": "nina2025/regression-of-used-car-prices-polar-h-blend", "kernel_id": "114995475"}, {"ref": "tugcebasyigit/regression-of-used-car-prices", "kernel_id": "116176873"}, {"ref": "lucalullo/used-car-prices", "kernel_id": "116914161"}, {"ref": "basaktamer/regression-of-used-car-prices", "kernel_id": "117571420"}, {"ref": "zqx960151285/regression-of-used-car-prices", "kernel_id": "129591513"}]}
{"competition_id": "76741", "kernels": [{"ref": "ashishkumarak/starter-notebook-bank-churn-prediction", "kernel_id": "56177454"}, {"ref": "shaunakmajumdar/competition-1", "kernel_id": "56401887"}, {"ref": "khushduggar/notebook866d1f4fcb", "kernel_id": "56205926"}, {"ref": "jankuper192/su-r-vival-analysis", "kernel_id": "57711811"}]}
{"competition_id": "76742", "kernels": []}
{"competition_id": "76758", "kernels": []}
{"competition_id": "76774", "kernels": [{"ref": "saiauc/simple-randomforest-regression", "kernel_id": "56820792"}, {"ref": "saiauc/simple-lgbm", "kernel_id": "56729854"}, {"ref": "lebinhthanh/baseline-blueberry-regression", "kernel_id": "57508450"}]}
{"competition_id": "76781", "kernels": [{"ref": "bovard/random-forest", "kernel_id": "57267711"}, {"ref": "ninaadjoshi93/random-forest-notebooke1d5c00124", "kernel_id": "57267783"}, {"ref": "anirudhk1/anirudh-k-supervised-learning", "kernel_id": "61069738"}]}
{"competition_id": "76782", "kernels": []}
{"competition_id": "76783", "kernels": []}
{"competition_id": "76784", "kernels": [{"ref": "fredericnicholson/linear-regression-from-scratch", "kernel_id": "57848537"}, {"ref": "fredericnicholson/fgn-001", "kernel_id": "57373686"}]}
{"competition_id": "76786", "kernels": [{"ref": "mohamedbentalb/spam-email-detection-with-smote", "kernel_id": "82508952"}, {"ref": "aneevinay/spam-email-prediction-with-logistic-regression", "kernel_id": "87993093"}, {"ref": "mminbaol/spam-mail", "kernel_id": "96907354"}, {"ref": "shravankumarpandey/email-spam-classifier-using-logistic-regression", "kernel_id": "114951928"}]}
{"competition_id": "76788", "kernels": []}
{"competition_id": "76805", "kernels": []}
{"competition_id": "76808", "kernels": [{"ref": "mikaelrajakhan/notebook801678d5f8", "kernel_id": "59225058"}]}
{"competition_id": "76823", "kernels": []}
{"competition_id": "76836", "kernels": [{"ref": "yoobinpark/t2-p2-multi-class-classification", "kernel_id": "71893300"}]}
{"competition_id": "76837", "kernels": [{"ref": "rocktopus/xgboost-wine", "kernel_id": "76703770"}]}
{"competition_id": "76840", "kernels": [{"ref": "anupamsharma2006/notebook79a449073e", "kernel_id": "58957289"}, {"ref": "fancifulcrow/prediction-of-a-smoker-xgb", "kernel_id": "58990434"}, {"ref": "msahmed/predicting-smoker-status-from-biosignals", "kernel_id": "59533757"}]}
{"competition_id": "76844", "kernels": []}
{"competition_id": "76868", "kernels": []}
{"competition_id": "76885", "kernels": []}
{"competition_id": "76889", "kernels": []}
{"competition_id": "76891", "kernels": []}
{"competition_id": "76896", "kernels": []}
{"competition_id": "76899", "kernels": [{"ref": "natalia17/wine-competition-completed-task", "kernel_id": "68568057"}, {"ref": "gerakiddy/notebook7f478df871", "kernel_id": "68666889"}]}
{"competition_id": "76913", "kernels": [{"ref": "onlykaggle/smoker-binary-class-20240611", "kernel_id": "59511524"}, {"ref": "uzogoon/notebookc11356e779", "kernel_id": "59527536"}, {"ref": "pandorilee/notebook409a81dcff", "kernel_id": "59562848"}, {"ref": "jinjja/smoker-prediction-240611", "kernel_id": "59562366"}, {"ref": "joonhwanko/smoking-b", "kernel_id": "59510166"}, {"ref": "aeng11/smoker-predict-roc-auc-0-887", "kernel_id": "59502593"}, {"ref": "kyoungranyu/smoker-binary-class", "kernel_id": "59503823"}, {"ref": "kangmipark/comp-2406-03", "kernel_id": "59524723"}, {"ref": "narange/narang-e-smoking", "kernel_id": "59499589"}, {"ref": "gunseonjin/notebook6ce4e0b3b4", "kernel_id": "59513806"}, {"ref": "agileteam/basic-ml", "kernel_id": "60854416"}, {"ref": "chahyukjoo/2-baseline", "kernel_id": "69699635"}, {"ref": "juyongko/0-88700", "kernel_id": "71665647"}, {"ref": "marius2303/top-2-smoker-binary-class-lgbmc-rscv", "kernel_id": "84775007"}]}
{"competition_id": "76916", "kernels": []}
{"competition_id": "76933", "kernels": [{"ref": "agileteam/wine-quality-baseline", "kernel_id": "60178455"}, {"ref": "onlykaggle/notebookb4175bd962", "kernel_id": "60178665"}, {"ref": "tawan12/tw-wine-quality-baseline", "kernel_id": "60246969"}, {"ref": "pandorilee/notebook8f62bdddea", "kernel_id": "60225918"}, {"ref": "jinjja/wine-quality-240617", "kernel_id": "60223548"}, {"ref": "joonhwanko/cohen-kappa-score", "kernel_id": "60214657"}, {"ref": "jungchangjoo/notebook70017dab38", "kernel_id": "60187705"}, {"ref": "dududee/notebook2a9a707b96", "kernel_id": "60180937"}, {"ref": "aeng11/wine-quality-baseline-0-367", "kernel_id": "60179664"}, {"ref": "kyoungranyu/notebookc48deb741a", "kernel_id": "60184466"}, {"ref": "sujiq9707/predict-wine-quality", "kernel_id": "60188358"}, {"ref": "kangmipark/notebook1ef9ae5051", "kernel_id": "60228485"}, {"ref": "narange/narange-wine", "kernel_id": "60233140"}, {"ref": "imstillhungry/notebook00e5b16234", "kernel_id": "60178655"}, {"ref": "juyongko/0-32464", "kernel_id": "71666912"}, {"ref": "hbugrae/wine-quality-prediction-with-gbm", "kernel_id": "85043662"}]}
{"competition_id": "76935", "kernels": []}
{"competition_id": "76954", "kernels": []}
{"competition_id": "76958", "kernels": []}
{"competition_id": "76972", "kernels": [{"ref": "mojtabajahan/buildingextraction", "kernel_id": "68281839"}, {"ref": "mojtabajahan/pytorch-building-extraction", "kernel_id": "73458271"}, {"ref": "mojtabajahan/mask2former-building-extraction", "kernel_id": "90566588"}]}
{"competition_id": "77021", "kernels": []}
{"competition_id": "77023", "kernels": []}
{"competition_id": "77027", "kernels": []}
{"competition_id": "77030", "kernels": []}
{"competition_id": "77032", "kernels": [{"ref": "ritikkumar38/telecom-churn-casestudy", "kernel_id": "56518704"}]}
{"competition_id": "77037", "kernels": []}
{"competition_id": "77041", "kernels": []}
{"competition_id": "77062", "kernels": [{"ref": "asmahachaichi/llm-for-environmental-review-transformers", "kernel_id": "59444702"}, {"ref": "lhai0704/fine-tuning-llama3-for-q-a-tasks-using-unsloth", "kernel_id": "61832924"}, {"ref": "pdrk2303/fine-tuning-llm", "kernel_id": "79333190"}]}
{"competition_id": "77069", "kernels": []}
{"competition_id": "77090", "kernels": [{"ref": "joanest/benchmark-soluci-n", "kernel_id": "56433941"}, {"ref": "aasirwaseer/supplier-activity-randomforest-model", "kernel_id": "80069004"}]}
{"competition_id": "77101", "kernels": []}
{"competition_id": "77102", "kernels": []}
{"competition_id": "77105", "kernels": []}
{"competition_id": "77118", "kernels": []}
{"competition_id": "77124", "kernels": [{"ref": "yupeiwong/demo-0429", "kernel_id": "55803543"}, {"ref": "psglgdbest/zhangzheng-regression", "kernel_id": "55964871"}, {"ref": "luguoyang/yangluguo-regression", "kernel_id": "55993607"}, {"ref": "sluhtguduo/huweihao1", "kernel_id": "56982819"}, {"ref": "yanghe0916/heyang", "kernel_id": "56682053"}, {"ref": "yangguo0423/yangguo", "kernel_id": "56050390"}, {"ref": "gaojiamei/gaojiamei1", "kernel_id": "56988342"}, {"ref": "liyangwanqing/li-yangwanqing", "kernel_id": "56824931"}, {"ref": "wendy57/wenxin-hao", "kernel_id": "56117188"}, {"ref": "kedengqiu/qiu-kedeng-regression", "kernel_id": "56250096"}, {"ref": "uionxn/classification-nanxining", "kernel_id": "56412458"}, {"ref": "uionxn/regression-nanxining", "kernel_id": "56600943"}, {"ref": "sunreniamichelle/demo-0429", "kernel_id": "56723865"}, {"ref": "lidingqi/homework-5-13-lidingqi", "kernel_id": "56815548"}, {"ref": "pubao77/ma-shuangshuang", "kernel_id": "56991706"}, {"ref": "junyushao/shao-junjie", "kernel_id": "56799034"}, {"ref": "mingweilv/lvmingwei", "kernel_id": "56996916"}, {"ref": "hongjincao/caohongjin", "kernel_id": "56991970"}, {"ref": "horanxu/haoran-xu-classification", "kernel_id": "57847775"}, {"ref": "uuusing/regression3", "kernel_id": "57073356"}, {"ref": "amiraltion/chenxuan-ji", "kernel_id": "57068466"}, {"ref": "erdychen/chen-weihao", "kernel_id": "57236896"}, {"ref": "myo172/huangjv1", "kernel_id": "57152227"}, {"ref": "sunreniamichelle/demo-0429-186ab7", "kernel_id": "57078826"}, {"ref": "kinkinzhu/jingyu-zhu", "kernel_id": "57053867"}, {"ref": "hengleli/notebook5e35d894dc", "kernel_id": "57082497"}]}
{"competition_id": "77129", "kernels": [{"ref": "psglgdbest/zhangzheng", "kernel_id": "55987592"}, {"ref": "yanghe0916/yang-he", "kernel_id": "56888096"}, {"ref": "yangguo0423/yangguo1", "kernel_id": "56993530"}, {"ref": "kedengqiu/qiu-kedeng-classification", "kernel_id": "56252079"}, {"ref": "uuusing/you-siying", "kernel_id": "56577941"}, {"ref": "uionxn/classification-nanxining", "kernel_id": "56412458"}, {"ref": "myo172/huangju", "kernel_id": "56619144"}, {"ref": "lidingqi/homework-5-13-li-dingqi", "kernel_id": "56816912"}, {"ref": "pubao77/ma-shuangshuang-classification", "kernel_id": "56992278"}, {"ref": "junyushao/shaojunjie", "kernel_id": "56805177"}, {"ref": "hongjincao/hongjin-cao", "kernel_id": "56991651"}, {"ref": "horanxu/haoran-xu-regression", "kernel_id": "57847307"}, {"ref": "sluhtguduo/huweihao", "kernel_id": "57042443"}, {"ref": "luguoyang/yangluguo-classification", "kernel_id": "57068428"}, {"ref": "gaojiamei/gaojiamei2", "kernel_id": "57073529"}, {"ref": "liyangwanqing/li-yangwanqing-2", "kernel_id": "57039934"}, {"ref": "wendy57/wenxin-hao-0514", "kernel_id": "57058441"}, {"ref": "erdychen/chen-wehao", "kernel_id": "57041728"}, {"ref": "sunreniamichelle/demo-0429-186ab7", "kernel_id": "57078826"}, {"ref": "mingweilv/notebook23ecc390ae", "kernel_id": "57071478"}, {"ref": "kinkinzhu/zhu-jingyu", "kernel_id": "57077795"}, {"ref": "hengleli/notebook79166ef483", "kernel_id": "57083095"}]}
{"competition_id": "77144", "kernels": []}
{"competition_id": "77169", "kernels": [{"ref": "mhamedadnan/regularization-in-linear-regression", "kernel_id": "64152642"}]}
{"competition_id": "77180", "kernels": [{"ref": "grettabuttelmann/lab17-cnn-buttelmanngretta-final", "kernel_id": "63633180"}, {"ref": "killa92/healthy-diseased-leaves-visualization-analysis", "kernel_id": "70533497"}]}
{"competition_id": "77229", "kernels": []}
{"competition_id": "77252", "kernels": [{"ref": "adisak/lab9-adisak-best-v1", "kernel_id": "58539536"}, {"ref": "adisak/lab9-adisak-baseline-v1", "kernel_id": "61565295"}, {"ref": "vegansam/samantha-good", "kernel_id": "61986881"}, {"ref": "d4yingw/lab9-yingw", "kernel_id": "61989952"}, {"ref": "grettabuttelmann/lab9-kaggle-buttelmanngretta", "kernel_id": "61981968"}, {"ref": "katherinekjeer/lab9-kjeer-katherine-baseline", "kernel_id": "61980904"}, {"ref": "joshuaellis555/lab9-pytorch-resnet", "kernel_id": "62418977"}, {"ref": "kojoadugyamfi/notebook34614ccb57", "kernel_id": "62554869"}, {"ref": "elisloan/notebook37085d9eb6", "kernel_id": "62196585"}, {"ref": "tomyoungisu/lab9-thomasyoung", "kernel_id": "62558940"}, {"ref": "saiful24/saiful291cb474ab", "kernel_id": "62556988"}]}
{"competition_id": "77255", "kernels": [{"ref": "javohirtoshqorgonov/kosmik-kema", "kernel_id": "56086157"}]}
{"competition_id": "77259", "kernels": []}
{"competition_id": "77261", "kernels": []}
{"competition_id": "77267", "kernels": []}
{"competition_id": "77303", "kernels": []}
{"competition_id": "77305", "kernels": [{"ref": "shauryabhatnagar77/accident-detector-with-93-accuracy-using-cnn", "kernel_id": "57160992"}, {"ref": "machiavellianthought/accident-detector-accuracy-90", "kernel_id": "57001903"}]}
{"competition_id": "77309", "kernels": [{"ref": "sauravkrishnakumar/msa-notebook", "kernel_id": "63130556"}]}
{"competition_id": "77323", "kernels": []}
{"competition_id": "77326", "kernels": []}
{"competition_id": "77364", "kernels": []}
{"competition_id": "77376", "kernels": [{"ref": "d4yingw/lab16-wei-y-new", "kernel_id": "63489155"}]}
{"competition_id": "77384", "kernels": []}
{"competition_id": "77385", "kernels": []}
{"competition_id": "77402", "kernels": []}
{"competition_id": "77406", "kernels": [{"ref": "mohamedsayedamarmsa/classify-customers-to-predict-bank-customer-churn", "kernel_id": "62420015"}]}
{"competition_id": "77410", "kernels": [{"ref": "chrisstarsky/bank-churn-example", "kernel_id": "62571891"}]}
{"competition_id": "77420", "kernels": [{"ref": "evenkatshivagoud/21f1006588-notebook-t22024", "kernel_id": "57500439"}, {"ref": "vanshika0901/21f2001511-notebook-t22024", "kernel_id": "57932587"}, {"ref": "shramanasinha/23f1002703-notebook-t22024", "kernel_id": "57701979"}, {"ref": "vegavardhanreddy/22f2001672-notebook-t22024", "kernel_id": "57659155"}, {"ref": "soungop/21f1006322-notebook-t22024", "kernel_id": "57841310"}, {"ref": "algodatum/crimecast-forecasting-crime-categories-top-10", "kernel_id": "57562370"}, {"ref": "aryachavan09/21f1002763-notebook-t22024", "kernel_id": "58634640"}, {"ref": "ananyaa30/22f2000718-notebook-t22024", "kernel_id": "58055858"}, {"ref": "jhanviirawat/21f2000206-notebook-t22024", "kernel_id": "58498871"}, {"ref": "adityasingh0112/21f3002050-notebook-t22024", "kernel_id": "58693197"}, {"ref": "anjaligalav18/22f3002299-notebook-t22024", "kernel_id": "58872962"}, {"ref": "agneshkunduiitm/22f1000768-notebook-t22024", "kernel_id": "58812610"}, {"ref": "anujdevsingh/21f3000028-notebook-t22024", "kernel_id": "58918288"}, {"ref": "param302/22f3000797-notebook-t22024", "kernel_id": "59296547"}, {"ref": "vikrams123/21f2000070-multiclass-classification", "kernel_id": "59971276"}, {"ref": "iitm21f1005248/21f1005248-notebook-t22024", "kernel_id": "59883381"}, {"ref": "mohammadabanali/22f1001086-notebook-t22024", "kernel_id": "59727908"}, {"ref": "sidd2110/22f2001147-notebook-t22024", "kernel_id": "59882691"}, {"ref": "andrewdavidrathnam/starternotebook", "kernel_id": "59423317"}, {"ref": "saravan87/21f3001520-notebook-t22024", "kernel_id": "59887826"}, {"ref": "samridhvikhassubbu/21f1007104-notebook-t22024", "kernel_id": "59418519"}, {"ref": "malkaggle/crime-category-prediction-iitm-mlp-project", "kernel_id": "59426325"}, {"ref": "purbachowdhury/22f2000855-notebook-t22024", "kernel_id": "59917999"}, {"ref": "anjanasreelakshmi/21f3000292-notebook-t22024", "kernel_id": "59882731"}, {"ref": "srichandra7/22ds3000154-notebook-t22024", "kernel_id": "59577386"}, {"ref": "sanyam1748/21f3001748-notebook-t22024", "kernel_id": "59862035"}, {"ref": "darkemperor3166/22f2000384-notebook-t22024", "kernel_id": "59931198"}, {"ref": "lamiyayusufbadshah/22f3001617-notebook-t22024", "kernel_id": "59537575"}, {"ref": "harshalwd/22f2000968-notebook-t22024", "kernel_id": "59725071"}, {"ref": "rohangoeliitm/22f1001269-notebook-t22024", "kernel_id": "59926291"}, {"ref": "abhishek0032/crimecast-unveiling-crime-patterns", "kernel_id": "59166462"}, {"ref": "prashanttnegi/22f2001236-notebook-t22024", "kernel_id": "59884770"}, {"ref": "rashikakukreja/22f2001412-notebook-t22024", "kernel_id": "59922798"}, {"ref": "itsabhishekr/notebook-t22024", "kernel_id": "59418159"}, {"ref": "reneekauliitm/reneekaul-august-2024", "kernel_id": "59884042"}, {"ref": "kushaliitm/21f1002108-notebook-t22024", "kernel_id": "59353473"}, {"ref": "wamiqmk/22f1001807-notebook-t22024", "kernel_id": "59424414"}, {"ref": "arjithar888/22f3000061-notebook-t22024", "kernel_id": "59882694"}, {"ref": "vighneshmishra/22f3001240-notebook-t22024", "kernel_id": "59523287"}, {"ref": "sharmapriyanshudilip/21f2001068-notebook-t22024", "kernel_id": "59926726"}, {"ref": "zenopakipsy/22f1000072-notebook-t22024", "kernel_id": "59698669"}, {"ref": "abhaynb/22f1000829-notebook-t22024", "kernel_id": "59934913"}, {"ref": "arjumukherjee/22f2000746-notebook-t22024", "kernel_id": "59882764"}, {"ref": "yatharthpatel135/21f1000837-notebook-t22024", "kernel_id": "59920056"}, {"ref": "kohilsharma/22f3001103-notebook-t22024", "kernel_id": "60722016"}, {"ref": "aaruni154/21f2000255-notebook-t22024", "kernel_id": "60472520"}, {"ref": "kisharkrnath/21f3000476-notebook-t22024", "kernel_id": "60146048"}, {"ref": "prakharsingh01/21f3001320-notebook-t22024", "kernel_id": "60079894"}, {"ref": "devansh1206/21f1006254-notebook-t22024", "kernel_id": "60732858"}, {"ref": "swatejreddy18/22f1000024-notebook-t22024", "kernel_id": "60697839"}, {"ref": "harshpal1441ds/21f1002562-notebook-t22024", "kernel_id": "60146486"}, {"ref": "sujayd/22f2001590-notebook-t22024", "kernel_id": "60476024"}, {"ref": "sigmoidz/21f1003066-notebook-t22024", "kernel_id": "60471098"}, {"ref": "sarthaksinghgaur/crimecast-forecasting-crime-categories-using-ml", "kernel_id": "60671452"}, {"ref": "devratdave/21f1006042-notebook-t22024", "kernel_id": "60700212"}, {"ref": "harshalkariya/21f3002536-notebook-t22024", "kernel_id": "60067465"}, {"ref": "jnanendrakumarjha/forecasting-crime-categories", "kernel_id": "60519827"}, {"ref": "abhinavchinnu/21f1000473-notebook-t22024", "kernel_id": "60426630"}, {"ref": "ompodey/21f2000968-notebook-t22024", "kernel_id": "60066490"}, {"ref": "thagasheriff/crime-category-prediction-iitm-mlp-project", "kernel_id": "60737417"}, {"ref": "kevinmathewphilipds/22f2001089-notebook-t22024", "kernel_id": "60660699"}, {"ref": "harshavas/21f1004617-notebook-t22024", "kernel_id": "60472220"}, {"ref": "nikhilrana1996/22f1001069-notebook-t22024", "kernel_id": "60698416"}, {"ref": "alenamariathomas/21f2000349-notebook-t22024", "kernel_id": "60603399"}, {"ref": "kumudmalik/21f1006771-notebook-t22024", "kernel_id": "60657527"}, {"ref": "kartikeysingh1131/21f1001440-notebook-t22024", "kernel_id": "60741557"}, {"ref": "ritammajumdar1/21f1004775-notebook-t22024", "kernel_id": "60414724"}, {"ref": "priyankanarula24/21f3002839-notebook-t22024", "kernel_id": "60494351"}, {"ref": "pranjali3/23f1002868-notebook-t22024", "kernel_id": "60058049"}, {"ref": "rajarshiroydev/21f3000348-notebook-t22024", "kernel_id": "60426526"}, {"ref": "nandanreddyiitm/22f3002857-notebook-t22024", "kernel_id": "60692985"}, {"ref": "himanshukumar1612/21f3001746-notebook-t22024", "kernel_id": "60433415"}, {"ref": "dev22f2000888/22f2000888-notebook-t22024", "kernel_id": "60431162"}, {"ref": "lokeshkd/21f1001015-notebook-t22024", "kernel_id": "60437588"}, {"ref": "mmanasdora/21f1000406-notebook-t22024", "kernel_id": "60635616"}, {"ref": "atharvasarbhukan28/22f1000533-notebook-t22024", "kernel_id": "60562479"}, {"ref": "aaliyaansari/23ds3000181-notebook-t22024", "kernel_id": "60584869"}, {"ref": "sanjainatarajan/23f1002165-notebook-t22024", "kernel_id": "60422350"}, {"ref": "yash21f3002767/21f3002767-notebook-t22024", "kernel_id": "60069766"}, {"ref": "prajwaldupare/22f3002071-notebook-t22024", "kernel_id": "60417555"}, {"ref": "randomcrepe/22f3002831-notebook-t22024", "kernel_id": "60084326"}, {"ref": "rarjunthilak/22f3001789-notebook-t22024", "kernel_id": "60209942"}, {"ref": "ujjwalverma14/22f1000049-notebook-t22024", "kernel_id": "60232554"}, {"ref": "iitmbs22f1001845/22f1001845-notebook-t22024", "kernel_id": "60502903"}, {"ref": "abhi072891/22f3001196-notebook-t22024", "kernel_id": "60280486"}, {"ref": "aashishsankar201/21f3001458-notebook-t22024", "kernel_id": "60393361"}, {"ref": "kantpiyush2024/22f3002119-notebook-t22024", "kernel_id": "60474298"}, {"ref": "areebafarooqui001/22f1001053-notebook-t22024", "kernel_id": "60507138"}, {"ref": "utksom/crimecast-forecast-utkarsh", "kernel_id": "60602321"}, {"ref": "rishavsagar73/21f3003095-notebook-t22024", "kernel_id": "60700775"}, {"ref": "anurag21f3002097/21f3002097-notebook-t22024", "kernel_id": "60723996"}, {"ref": "rahulguptaiitm/23ds1000054-notebook-t22024", "kernel_id": "60957316"}, {"ref": "sgautam21f3001314/21f3001314-notebook-t22024", "kernel_id": "60958483"}, {"ref": "sumdar/sundar-crimecast", "kernel_id": "61308926"}, {"ref": "chitrakshsingh/crimecast", "kernel_id": "61439897"}, {"ref": "pysharma/22f1000771-notebook-t22024", "kernel_id": "61299454"}, {"ref": "lakkireddyeswarreddy/21f3001193-notebook-t22024", "kernel_id": "61258506"}, {"ref": "rajnish0/starternotebook", "kernel_id": "61428740"}, {"ref": "devang23/21f1005878-notebook-t22024", "kernel_id": "61295405"}, {"ref": "arunima22/21f1000724-notebook-t22024", "kernel_id": "61880257"}, {"ref": "sashroff/21f3002151-notebook-t22024", "kernel_id": "61875941"}, {"ref": "tanishamaheshwari/21f3002872-notebook-t22024", "kernel_id": "61929520"}, {"ref": "rrd21f1005431/21f1005431-notebook-t22024", "kernel_id": "61288889"}, {"ref": "wreckermoon/notebookb986f9dc67", "kernel_id": "61769755"}, {"ref": "mayankdode/22f1000781-notebook-t22024", "kernel_id": "61223802"}, {"ref": "mohitvinodhargunani/22f1000675-notebook-t22024", "kernel_id": "61418009"}, {"ref": "manasagarwal16/21f1000670-notebook-t22024", "kernel_id": "61339361"}, {"ref": "jiviteshrai/22f1000475-notebook-t22024", "kernel_id": "62520857"}, {"ref": "anupratee/21f1001850-notebook-t22024", "kernel_id": "62233373"}, {"ref": "dikshasinghal2910/21f1002910-notebook-t22024", "kernel_id": "62513289"}, {"ref": "vishalgupta223/crimecast-fcc-xgb-0-89", "kernel_id": "62840210"}, {"ref": "akashsree/21f3002354-notebook-t22024", "kernel_id": "62424894"}, {"ref": "marius2303/top-2-crimecast-fcc-lightgbm-tuning", "kernel_id": "62209377"}, {"ref": "dikshamanchanda29/22f1000154-notebook-t22024", "kernel_id": "62416765"}, {"ref": "sumanagr/crime-prediction", "kernel_id": "63100956"}, {"ref": "muditpaliwal98/notebookcd7d5fd9a8", "kernel_id": "63277146"}, {"ref": "muditpaliwal98/notebook6ae25d7ff7", "kernel_id": "63314386"}, {"ref": "sudhanwaabokadee/21f1002810-notebook-t22024", "kernel_id": "63495719"}, {"ref": "tpsriyamlp/21f3001841-notebook-t22024", "kernel_id": "63169831"}, {"ref": "asim21f2000345/crime-cast-forecasting-crime-categories", "kernel_id": "64251630"}, {"ref": "abhaynb/crimecast", "kernel_id": "64721725"}, {"ref": "ayushbhm/21f3002767-notebook-t22024", "kernel_id": "65823793"}, {"ref": "swaminibarkale/notebookcb73566afb", "kernel_id": "68404616"}, {"ref": "hameessayed/mlp-kaggle-competition", "kernel_id": "69337883"}, {"ref": "siddme927/siddharth-s-final-crimecast-notebook", "kernel_id": "78035326"}, {"ref": "preciousdurojaiye/datamining-crimecast", "kernel_id": "80793939"}, {"ref": "allasamoilenko/data-analysis-crime-samoilenko", "kernel_id": "80285678"}, {"ref": "thesunnyarya/22f2001129-notebook-t22024", "kernel_id": "93472045"}]}
{"competition_id": "77428", "kernels": []}
{"competition_id": "77443", "kernels": []}
{"competition_id": "77452", "kernels": [{"ref": "hibiki44da/notebook103920ebf2-water-quality", "kernel_id": "78747298"}, {"ref": "sintianong/water-quality-classification", "kernel_id": "95044381"}]}
{"competition_id": "77464", "kernels": [{"ref": "lordpatil/edx-classification", "kernel_id": "56978803"}]}
{"competition_id": "77471", "kernels": [{"ref": "marcoday/coba-lagi-random-forest", "kernel_id": "58562792"}, {"ref": "medinafitrim/klasifikasi-competition-medina-fm-g6401211096-p3", "kernel_id": "58039649"}]}
{"competition_id": "77472", "kernels": []}
{"competition_id": "77473", "kernels": []}
{"competition_id": "77475", "kernels": []}
{"competition_id": "77476", "kernels": [{"ref": "mirhyun0508/2024-smarcle-kaggle-study-fahion-mnist-cnn", "kernel_id": "56704866"}, {"ref": "heojiyoon/fashion-mnist-jiyoon-heo", "kernel_id": "56520823"}, {"ref": "heuisubhyeon/heesub-fashion-terror-mn-ist", "kernel_id": "56386312"}, {"ref": "leeyongbin/fashion-mnist-dnn", "kernel_id": "56627503"}, {"ref": "gyemoolee/fashion-mnist", "kernel_id": "56593987"}, {"ref": "jeongwanchoi/jeongwan-choi-fashion-mnist", "kernel_id": "56709497"}, {"ref": "sangwan123/ksw-fashion-mnist", "kernel_id": "56624148"}, {"ref": "liyeeee/yelim-fashion-mnist", "kernel_id": "56578968"}, {"ref": "hoparkjh/fashion-mnist-jh", "kernel_id": "56474338"}, {"ref": "seohyunan/an-seo-hyun-fashion-mnist", "kernel_id": "56404379"}, {"ref": "oldcast1e/heonseong", "kernel_id": "56684248"}, {"ref": "eunkyeol/fashion-mnist", "kernel_id": "56633046"}, {"ref": "minsung813/minsung-s-fashion-mnist", "kernel_id": "56645820"}, {"ref": "kj0409/fashion-mnist-kj", "kernel_id": "56518091"}, {"ref": "minseonga/minseong-man-s-fashion-mnist", "kernel_id": "56618133"}, {"ref": "yoonie03/yoonjeong-fashion-mnist", "kernel_id": "56510375"}, {"ref": "smarcle/taekyung-fashion-mnist", "kernel_id": "56420925"}, {"ref": "brainary/ssh-fashion-mnist", "kernel_id": "57291352"}, {"ref": "sangwan123/notebook30d9785b2d", "kernel_id": "57295980"}, {"ref": "jiyoii/fashion-mnist-jy", "kernel_id": "57294001"}, {"ref": "smarcle/2025-taekyung", "kernel_id": "95797839"}]}
{"competition_id": "77478", "kernels": []}
{"competition_id": "77485", "kernels": []}
{"competition_id": "77514", "kernels": [{"ref": "ahmedmohamedabdallah/battery-prediction", "kernel_id": "56498259"}, {"ref": "esmahkurt/pil-tahmini2024", "kernel_id": "58664667"}]}
{"competition_id": "77523", "kernels": [{"ref": "sjkimhyunwoo/2024-ml-w12p1-skeleton-code", "kernel_id": "56455531"}]}
{"competition_id": "77526", "kernels": []}
{"competition_id": "77529", "kernels": []}
{"competition_id": "77565", "kernels": [{"ref": "juyeonkim/2024-ml-tp-2d-skeletoncode", "kernel_id": "57147812"}]}
{"competition_id": "77566", "kernels": []}
{"competition_id": "77567", "kernels": []}
{"competition_id": "77568", "kernels": []}
{"competition_id": "77570", "kernels": []}
{"competition_id": "77574", "kernels": []}
{"competition_id": "77584", "kernels": [{"ref": "cselmo/notebookbaf6059197", "kernel_id": "56635846"}]}
{"competition_id": "77585", "kernels": [{"ref": "lucasmorin/benchtab-v2-catboost-ensemble", "kernel_id": "56670880"}, {"ref": "ambrosm/tdb2-eda-which-makes-sense", "kernel_id": "56794773"}, {"ref": "ambrosm/tdb2-only-xgboost", "kernel_id": "56824681"}, {"ref": "ambrosm/tdb2-feature-importance", "kernel_id": "56987815"}, {"ref": "ambrosm/tdb2-only-catboost", "kernel_id": "56933036"}, {"ref": "ambrosm/tdb2-only-lightgbm", "kernel_id": "56871577"}, {"ref": "ambrosm/tdb2-only-hgb", "kernel_id": "57150192"}]}
{"competition_id": "77595", "kernels": []}
{"competition_id": "77613", "kernels": [{"ref": "whchb1122/baseline-easy", "kernel_id": "56717129"}, {"ref": "whchb1122/baseline-hard", "kernel_id": "56719378"}]}
{"competition_id": "77621", "kernels": []}
{"competition_id": "77664", "kernels": []}
{"competition_id": "77677", "kernels": []}
{"competition_id": "77694", "kernels": [{"ref": "abdullatifkaban/star-classification", "kernel_id": "56987411"}]}
{"competition_id": "77713", "kernels": []}
{"competition_id": "77714", "kernels": []}
{"competition_id": "77717", "kernels": []}
{"competition_id": "77739", "kernels": []}
{"competition_id": "77740", "kernels": []}
{"competition_id": "77752", "kernels": [{"ref": "heojaeyeon/skeleton-code-3d", "kernel_id": "57104168"}]}
{"competition_id": "77753", "kernels": [{"ref": "heojaeyeon/skeleton-code-1", "kernel_id": "57100651"}]}
{"competition_id": "77759", "kernels": [{"ref": "harshald96/housing-price-ml", "kernel_id": "60095191"}]}
{"competition_id": "77776", "kernels": [{"ref": "juyeonkim/2024-ml-tp-skeletoncode", "kernel_id": "57135338"}]}
{"competition_id": "77803", "kernels": [{"ref": "sondippoulsingh83/notebook1e7ad9a64c", "kernel_id": "57189304"}]}
{"competition_id": "77805", "kernels": []}
{"competition_id": "77814", "kernels": []}
{"competition_id": "77833", "kernels": []}
{"competition_id": "77845", "kernels": [{"ref": "onlykaggle/2024-4-dac-kr-onlykaggle", "kernel_id": "59040769"}, {"ref": "tawan12/notebook620c6d2575", "kernel_id": "59034170"}, {"ref": "uzogoon/notebookd9f6f6fb50", "kernel_id": "59047189"}, {"ref": "jinjja/crab-age-prediction", "kernel_id": "59042946"}, {"ref": "joonhwanko/notebook2cf68ecf51", "kernel_id": "59046368"}, {"ref": "jungchangjoo/crab-age-prediction", "kernel_id": "59027305"}, {"ref": "dududee/compe-2", "kernel_id": "59151603"}, {"ref": "aeng11/xg-mae-1-395", "kernel_id": "59041474"}, {"ref": "kyoungranyu/notebook782e0dd757", "kernel_id": "59040521"}, {"ref": "sujiq9707/notebook047b693d76", "kernel_id": "59057457"}, {"ref": "kangmipark/comp-2406-01", "kernel_id": "59410467"}, {"ref": "crystalhr/submit-mae-1-32632", "kernel_id": "59038564"}, {"ref": "seongeunkim1/notebookd8ceafb29e", "kernel_id": "59038083"}, {"ref": "gunseonjin/notebooka797eeff0c", "kernel_id": "59077366"}, {"ref": "hysnnng/2024-4-bda-pracitce", "kernel_id": "60406353"}, {"ref": "chahyukjoo/2-minmax", "kernel_id": "70986785"}, {"ref": "juyongko/1-38408", "kernel_id": "71663085"}, {"ref": "yoobinpark/t2-p3-regression", "kernel_id": "71898574"}, {"ref": "halil1010/notebook1e201fbd1a", "kernel_id": "74449588"}, {"ref": "marius2303/top-9-big-data-analytics-kr-lgbmr", "kernel_id": "84359801"}, {"ref": "jiho0o/submission-csv", "kernel_id": "84092713"}]}
{"competition_id": "77847", "kernels": []}
{"competition_id": "77857", "kernels": []}
{"competition_id": "77876", "kernels": []}
{"competition_id": "77884", "kernels": [{"ref": "artrocha/customer-churn-prediction-challange-shap-explain", "kernel_id": "111654528"}]}
{"competition_id": "77888", "kernels": [{"ref": "petewojtczak/bank-churn-overexplained-randforest", "kernel_id": "65021558"}]}
{"competition_id": "77898", "kernels": []}
{"competition_id": "77914", "kernels": []}
{"competition_id": "77946", "kernels": [{"ref": "anmatngu/wild-blueberry-yield-eda-insights", "kernel_id": "65433625"}]}
{"competition_id": "77970", "kernels": [{"ref": "erenkonta/dl-regresyon-ile-yenge-ya-tahmini", "kernel_id": "68913411"}]}
{"competition_id": "77982", "kernels": []}
{"competition_id": "78001", "kernels": []}
{"competition_id": "78002", "kernels": []}
{"competition_id": "78010", "kernels": []}
{"competition_id": "78012", "kernels": []}
{"competition_id": "78021", "kernels": []}
{"competition_id": "78032", "kernels": []}
{"competition_id": "78039", "kernels": [{"ref": "asilbekjon/qisqichbaqa", "kernel_id": "83331486"}]}
{"competition_id": "78044", "kernels": [{"ref": "keremerr/notebook71ad7311cd", "kernel_id": "73230260"}, {"ref": "nachoo06/notebook9435724616", "kernel_id": "73458788"}, {"ref": "nachoo06/notebookd8635ffa9b", "kernel_id": "73463085"}, {"ref": "yusufyldrm133/notebookeb372c1b5f", "kernel_id": "73567843"}, {"ref": "boitsy/notebookc2e80827a6", "kernel_id": "73541488"}]}
{"competition_id": "78057", "kernels": []}
{"competition_id": "78071", "kernels": []}
{"competition_id": "78115", "kernels": [{"ref": "uliceschingo/notebook3f13cb1234", "kernel_id": "80600984"}]}
{"competition_id": "78147", "kernels": []}
{"competition_id": "78158", "kernels": []}
{"competition_id": "78167", "kernels": []}
{"competition_id": "78187", "kernels": []}
{"competition_id": "78190", "kernels": [{"ref": "cerxxxx/m148-spring-2024-project-3", "kernel_id": "111758830"}]}
{"competition_id": "78196", "kernels": [{"ref": "peridon/shotquality-basic-eda-starter-notebook", "kernel_id": "62306863"}, {"ref": "jakefeiler/jake-s-shotquality-3-pt-notebook", "kernel_id": "63351641"}, {"ref": "brandonowens24/shotquality-3pt-competition", "kernel_id": "64185509"}, {"ref": "jeremy9k27/fork-of-draft1-ver3-2", "kernel_id": "64129017"}]}
{"competition_id": "78223", "kernels": [{"ref": "highflyingbird/lecture-des-donn-es", "kernel_id": "60489045"}]}
{"competition_id": "78233", "kernels": [{"ref": "alokbhatnagar/telecom-churn-alok-ankit-arbinda", "kernel_id": "58895045"}, {"ref": "noelsjacob/telecomchurncasestudy", "kernel_id": "58561778"}, {"ref": "asheeshjakhmola/telecom-churn-hari-ishita-asheesh", "kernel_id": "58996001"}]}
{"competition_id": "78234", "kernels": [{"ref": "victorwagoo/explained-notebook-for-ironman-competition", "kernel_id": "58052363"}]}
{"competition_id": "78235", "kernels": []}
{"competition_id": "78237", "kernels": []}
{"competition_id": "78259", "kernels": []}
{"competition_id": "78262", "kernels": []}
{"competition_id": "80286", "kernels": []}
{"competition_id": "80305", "kernels": [{"ref": "pujalibhaumik/walmart-sales-data", "kernel_id": "57529335"}, {"ref": "sxhhhh/submmission-csv", "kernel_id": "102332847"}]}
{"competition_id": "80306", "kernels": []}
{"competition_id": "80318", "kernels": [{"ref": "majurranvimalan/eda-data-processing-2nd-ava-challenge", "kernel_id": "57902465"}, {"ref": "tsaitang00124/ava-chanllenge", "kernel_id": "59262316"}, {"ref": "tsaitang00124/fork-of-ava-chanllenge-1ac0af", "kernel_id": "60475836"}, {"ref": "michaelibrahim/1st-place-solution", "kernel_id": "61656998"}]}
{"competition_id": "80336", "kernels": []}
{"competition_id": "80379", "kernels": []}
{"competition_id": "80381", "kernels": []}
{"competition_id": "80399", "kernels": []}
{"competition_id": "80417", "kernels": [{"ref": "nmt2004/notebookd66a182b86", "kernel_id": "93303702"}]}
{"competition_id": "80423", "kernels": []}
{"competition_id": "80428", "kernels": [{"ref": "joaoale12/trupe-fmu", "kernel_id": "81673251"}, {"ref": "acexxx/notebook05fc8f89b6", "kernel_id": "86071207"}]}
{"competition_id": "80487", "kernels": [{"ref": "ravi20076/blueberry-baseline-v1", "kernel_id": "66406649"}]}
{"competition_id": "80490", "kernels": []}
{"competition_id": "80512", "kernels": []}
{"competition_id": "80554", "kernels": [{"ref": "samuelyumx/customer-promotion-acceptance-prediction", "kernel_id": "58202721"}, {"ref": "dwiyasan/notebook9a6f11e9a7", "kernel_id": "71290196"}]}
{"competition_id": "80555", "kernels": []}
{"competition_id": "80567", "kernels": [{"ref": "cashfeg/sklearn-sample", "kernel_id": "57933391"}, {"ref": "marius2303/top-15-linear-reg-sample-en-rfe", "kernel_id": "61477691"}, {"ref": "thiagomantuani/1st-linear-reg-sample-solution", "kernel_id": "63111122"}]}
{"competition_id": "80569", "kernels": [{"ref": "sa4444/insurance-portfolio-adjustment-recommendation", "kernel_id": "58291840"}]}
{"competition_id": "80570", "kernels": []}
{"competition_id": "80602", "kernels": []}
{"competition_id": "80603", "kernels": []}
{"competition_id": "80606", "kernels": []}
{"competition_id": "80619", "kernels": []}
{"competition_id": "80630", "kernels": []}
{"competition_id": "80639", "kernels": []}
{"competition_id": "80640", "kernels": [{"ref": "seholee1229/2024-audio-fake-detection-sample-2", "kernel_id": "58091753"}]}
{"competition_id": "80653", "kernels": [{"ref": "hanzeruiooo/skku-2024-1", "kernel_id": "73510652"}, {"ref": "hanzeruiooo/vgg-accuracy-0-9825", "kernel_id": "78265994"}]}
{"competition_id": "80658", "kernels": []}
{"competition_id": "80663", "kernels": [{"ref": "huangmic/notebook24c421b816", "kernel_id": "58515895"}]}
{"competition_id": "80670", "kernels": [{"ref": "hippopz/notebook6d502fb931", "kernel_id": "74977647"}, {"ref": "wardamirza11/notebook1", "kernel_id": "120429497"}]}
{"competition_id": "80681", "kernels": [{"ref": "seong6920/must-submit-today-240702-sjh-houseprice", "kernel_id": "61386776"}, {"ref": "hanryang/houseprices-hanah", "kernel_id": "61387288"}, {"ref": "kiwisouce/chanyoung-project", "kernel_id": "61387127"}, {"ref": "baesseong/house-price-baeseongwoo", "kernel_id": "61386962"}, {"ref": "nnayeeon/house-price", "kernel_id": "61386944"}, {"ref": "mseoulum/240702-housepricing", "kernel_id": "61387046"}, {"ref": "kestrelkaggle/240702-quest-house-prices", "kernel_id": "61386897"}, {"ref": "tree698/chanwoo-houseprice", "kernel_id": "61386630"}, {"ref": "taehunkoo/house-price-taehun-koo", "kernel_id": "61423540"}, {"ref": "hardok00/2024-07-02-main-q-hakjun", "kernel_id": "61386927"}, {"ref": "sieunkim03/mq-ds-sieun-house-prices", "kernel_id": "61388968"}, {"ref": "namtaewook/namtaewook0702", "kernel_id": "61386815"}]}
{"competition_id": "80687", "kernels": [{"ref": "agileteam/cc-baseline-rf-r", "kernel_id": "58310600"}, {"ref": "agileteam/credit-card-baseline-rf-python", "kernel_id": "58272032"}, {"ref": "yeongdeokwon/notebook17619e48bb", "kernel_id": "58357672"}, {"ref": "goyeongmin/fork-of-notebook62bd9dc9ad", "kernel_id": "58372260"}, {"ref": "onlykaggle/credit-card-baseline-rf-python", "kernel_id": "58338092"}, {"ref": "toadlee/notebook149aee38f7", "kernel_id": "58350887"}, {"ref": "tawan12/notebookc8485431f7", "kernel_id": "58394412"}, {"ref": "pandorilee/notebookfdd5f0c197", "kernel_id": "58367541"}, {"ref": "jinjja/2024creditcardfraud", "kernel_id": "58366953"}, {"ref": "joonhwanko/credit-card-fraud", "kernel_id": "58351482"}, {"ref": "jungchangjoo/notebookb622c8063c", "kernel_id": "58332084"}, {"ref": "seongyeolpark/notebook0db5c019aa", "kernel_id": "58354164"}, {"ref": "hongjeonghwan/notebook6dfc7ccf68", "kernel_id": "58416605"}, {"ref": "dududee/credit-card-baseline-rf-python", "kernel_id": "58334860"}, {"ref": "dududee/credit-card-val-roc-auc-0-9843", "kernel_id": "58339734"}, {"ref": "aeng11/mission13", "kernel_id": "58333813"}, {"ref": "crystalhr/credit-card-baseline-rf-python", "kernel_id": "58330745"}, {"ref": "mbko2000/credit-card-baseline-rf-python", "kernel_id": "58548264"}, {"ref": "chanmi0408/notebook3349df712b", "kernel_id": "58369714"}, {"ref": "gunseonjin/notebookda230b1ec6", "kernel_id": "58370678"}, {"ref": "sujiq9707/notebook046f9fec02", "kernel_id": "59143590"}, {"ref": "kyungyoonkim/credit-card-baseline-rf-python", "kernel_id": "60425506"}, {"ref": "kangmipark/comp-classification", "kernel_id": "60055317"}, {"ref": "juyongko/0-92414", "kernel_id": "71655661"}, {"ref": "juliethwang/card-classification", "kernel_id": "71825023"}, {"ref": "minimi1115/2-card", "kernel_id": "71536532"}, {"ref": "glassisyuri/2-card", "kernel_id": "83362428"}]}
{"competition_id": "80692", "kernels": []}
{"competition_id": "80701", "kernels": [{"ref": "zhiguozeng/demo-data-challenge-ipynb", "kernel_id": "58447318"}]}
{"competition_id": "80702", "kernels": []}
{"competition_id": "80703", "kernels": []}
{"competition_id": "80704", "kernels": [{"ref": "agileteam/house-price-baseline-py-rmse26339", "kernel_id": "58338364"}, {"ref": "agileteam/house-price-baseline-r-rmse28940", "kernel_id": "58339490"}, {"ref": "goyeongmin/notebook203b94e8f4", "kernel_id": "58413449"}, {"ref": "onlykaggle/house-price-baseline-py", "kernel_id": "58405514"}, {"ref": "toadlee/mission14", "kernel_id": "58409661"}, {"ref": "tawan12/notebook4a0523050b", "kernel_id": "58448412"}, {"ref": "tigunews/house-price-baseline-py-rmse26339", "kernel_id": "58400443"}, {"ref": "pandorilee/notebook9655bcae29", "kernel_id": "58441003"}, {"ref": "jinjja/2024housesaleprice", "kernel_id": "58454245"}, {"ref": "jinjja/2024housesaleprice-mission15", "kernel_id": "58489691"}, {"ref": "joonhwanko/house-price-prediction-rmse", "kernel_id": "58484759"}, {"ref": "jungchangjoo/house-price-baseline-py-rmse26339", "kernel_id": "58402107"}, {"ref": "hongjeonghwan/notebookd6841f036f", "kernel_id": "58442284"}, {"ref": "aeng11/houseprice-regressor-rmse25912", "kernel_id": "58402885"}, {"ref": "kyoungranyu/rf-rmse", "kernel_id": "58453490"}, {"ref": "sujiq9707/notebook0530misson15", "kernel_id": "58492457"}, {"ref": "sujiq9707/notebooke5-29-misson14", "kernel_id": "58402727"}, {"ref": "crystalhr/house-price-baseline-py-rmse26339", "kernel_id": "58403985"}, {"ref": "chanmi0408/house-price-regression", "kernel_id": "58458831"}, {"ref": "juliethwang/house-price-regression", "kernel_id": "71833746"}, {"ref": "hyuntaeroh/house-price-hy", "kernel_id": "83334651"}]}
{"competition_id": "80774", "kernels": [{"ref": "ssegui/top-popular", "kernel_id": "58417753"}, {"ref": "ssegui/collaborative-filtering-v1", "kernel_id": "58418390"}, {"ref": "pavelfomin/movie-prediction-tensorflow-matrix-factorization", "kernel_id": "61127290"}, {"ref": "pavelfomin/movie-prediction-surprise-knnwithmeans", "kernel_id": "61078256"}, {"ref": "pavelfomin/movie-prediction-lightfm", "kernel_id": "61079493"}]}
{"competition_id": "80781", "kernels": []}
{"competition_id": "80841", "kernels": [{"ref": "benjamnb/fork-of-dl-2024-1-t3-notebook-ipynb", "kernel_id": "112130377"}]}
{"competition_id": "80869", "kernels": []}
{"competition_id": "80874", "kernels": [{"ref": "adhok93/xgb-time-series-prediction", "kernel_id": "59356007"}, {"ref": "shailaja183/xgbregressor", "kernel_id": "59503351"}, {"ref": "shailaja183/randomforestregressor", "kernel_id": "59402126"}, {"ref": "apovidlo/rohlik-2024-fedot-automl", "kernel_id": "59899725"}, {"ref": "gunesevitan/rohlik-orders-forecasting-challenge-eda", "kernel_id": "59267273"}, {"ref": "joshuachen98/starter-notebook-xgboost-optuna-tuning-eda", "kernel_id": "59885856"}, {"ref": "patrikhudako/sktime-prophet-implementation", "kernel_id": "59990964"}, {"ref": "thiagomantuani/rohlik-orders-2024-eda-modeling-get-started", "kernel_id": "59404969"}, {"ref": "abelmatas/basic-ramdom-forest", "kernel_id": "59279671"}, {"ref": "thomasmeiner/rohlik-eda-and-baseline", "kernel_id": "59612613"}, {"ref": "vivektiwari020801/advanced-lstm-model-for-rohlik-orders-forecasting", "kernel_id": "59127370"}, {"ref": "vivektiwari020801/lightgbm-orders-forecasting-for-rohlik-challenge", "kernel_id": "59125421"}, {"ref": "ravi20076/rohlik2024-publiclbtest", "kernel_id": "59254259"}, {"ref": "babydriver1233/prediction-customer-orders", "kernel_id": "59528750"}, {"ref": "mairajqureshi/rohlik-orders-forcasting", "kernel_id": "59576882"}, {"ref": "samvelkoch/kifli-eda-by-autogluon", "kernel_id": "59427266"}, {"ref": "bestwater/rohlik-orders-overfit-baseline", "kernel_id": "59404490"}, {"ref": "yunsuxiaozi/rohlik-orders-baseline", "kernel_id": "59304436"}, {"ref": "abdullahaliabdullah/rohlik-orders-forecasting-challenge", "kernel_id": "59622076"}, {"ref": "abhijit89kumar/timeseries-12k", "kernel_id": "59890039"}, {"ref": "abhijit89kumar/blending-stacking", "kernel_id": "59993836"}, {"ref": "samanfatima7/rohlik-order-forcasting-simple-guide", "kernel_id": "59621498"}, {"ref": "abdmental01/rohlik-starter-v1", "kernel_id": "59415671"}, {"ref": "draganpinsent98/rohlik-orders-forecasting-r", "kernel_id": "59954030"}, {"ref": "cardata/rohlik-orders-forecasting-data-analysis", "kernel_id": "59657823"}, {"ref": "danijelskeledija/rohlik-orders-prediction-with-xgboost", "kernel_id": "59453525"}, {"ref": "adhok93/autoencoder-xgboost", "kernel_id": "60296855"}, {"ref": "adhok93/lstm-experiment", "kernel_id": "60645251"}, {"ref": "adhok93/transformer-experiment", "kernel_id": "60847978"}, {"ref": "adhok93/regression-test", "kernel_id": "60922873"}, {"ref": "ambisinistra/eda-randomforestregressor", "kernel_id": "60500267"}, {"ref": "thegodchurch/timeseries-voting", "kernel_id": "60691478"}, {"ref": "thegodchurch/time-series", "kernel_id": "60679520"}, {"ref": "namyang94/forecasting-orders", "kernel_id": "60976984"}, {"ref": "dmitsutani/baseline-rohlik-orders-with-xgbregressor", "kernel_id": "60807831"}, {"ref": "annmariacgeorge/xgb-regression", "kernel_id": "60815471"}, {"ref": "annmariacgeorge/understand-dataset-and-data-audit-ipynb", "kernel_id": "60510678"}, {"ref": "nicolechong/eda-feature-engineering-xgb", "kernel_id": "60955003"}, {"ref": "gkanamoto/ensemble-stacking-modified", "kernel_id": "60756946"}, {"ref": "gkanamoto/simple-ensemble-model", "kernel_id": "60655061"}, {"ref": "gkanamoto/ensemble-stacking", "kernel_id": "60686130"}, {"ref": "john0107/rohlik-orders-forecasting-with-prophet", "kernel_id": "60815174"}, {"ref": "yantxx/rohlik-forecasting-statistical-learning", "kernel_id": "60613439"}, {"ref": "sztnhopsz/forecasting-challenge", "kernel_id": "60636482"}, {"ref": "adamlogman/rohlik-pro", "kernel_id": "60066412"}, {"ref": "litsea/forecasting-trend-and-seasonality-methods", "kernel_id": "60734914"}, {"ref": "ravaghi/rohlik-orders-forecasting-ensemble", "kernel_id": "60087678"}, {"ref": "mouadenna/prophet-rohlik-sample-submission-notebook", "kernel_id": "60506736"}, {"ref": "adhok93/ensemble-learning", "kernel_id": "61305541"}, {"ref": "adhok93/transformer-experiment-2-0", "kernel_id": "61111617"}, {"ref": "romanvoyt/optimization-with-optuna", "kernel_id": "61502581"}, {"ref": "johnsonhk88/rohlik-orders-forecasting-deeplearning-approach", "kernel_id": "61128825"}, {"ref": "anmolgarg1998/rohlik-order-analysis", "kernel_id": "61521072"}, {"ref": "abelmatas/ramdom-forest-with-gridsearchcv", "kernel_id": "61586244"}, {"ref": "shan007007/order-order-ensemble-hypertuning-with-optuna", "kernel_id": "61695958"}, {"ref": "stratosparellis/sp-rohlik-forecast-prophet", "kernel_id": "61585997"}, {"ref": "babydriver1233/rohlik-orders-forecasting-challenge", "kernel_id": "61413011"}, {"ref": "samvelkoch/rohlik-data-prep", "kernel_id": "61821603"}, {"ref": "samvelkoch/rohlik-tsururu-baseline", "kernel_id": "61790830"}, {"ref": "vanpatangan/orders-forecasting-challenge", "kernel_id": "61097257"}, {"ref": "yunsuxiaozi/rohlik-orders-get-complete-competition-data", "kernel_id": "61890494"}, {"ref": "tariqcp/rofc-extra-features-voting", "kernel_id": "61902738"}, {"ref": "natayakusheva/my-favorite-pastries", "kernel_id": "61062327"}, {"ref": "metlnfoor/times-series-with-lstm", "kernel_id": "61978390"}, {"ref": "metlnfoor/times-series-forecasting-with-deep-learning", "kernel_id": "61954136"}, {"ref": "aryanpahwani/first-proper-kaggle-competition-public-notebook", "kernel_id": "61505029"}, {"ref": "pakutiini/rohlik2", "kernel_id": "61865806"}, {"ref": "ravaghi/rohlik-orders-forecasting-automl", "kernel_id": "61234561"}, {"ref": "ahmedsamirafattah/warehouse-forecasting-challenge", "kernel_id": "61490457"}, {"ref": "hafizkhanil/rohlik", "kernel_id": "61234221"}, {"ref": "ikram98ai/rohlik-orders-forecasting-challenge", "kernel_id": "61552606"}, {"ref": "rajusaipainkra/rohlik-orders-forecasting-randomforestregressor", "kernel_id": "61644132"}, {"ref": "strawfev/rohlik-eda-timeseries-simple", "kernel_id": "61578864"}, {"ref": "sanjayakaswan/order-forcasting-xgb", "kernel_id": "61643935"}, {"ref": "ahmedgaitani/rohlik-orders-forecasting-code", "kernel_id": "61150716"}, {"ref": "pinuto/rohlik-orders-prediction", "kernel_id": "61229202"}, {"ref": "jaloeffe92/rohlik-forecasting", "kernel_id": "62604843"}, {"ref": "shanun123/simple-eda-lowess-analysis", "kernel_id": "62836386"}, {"ref": "abelmatas/rohlik-with-lazy-predict", "kernel_id": "62458651"}, {"ref": "abelmatas/rohlik-with-linear-pytorch", "kernel_id": "62040780"}, {"ref": "sasayaka/rohlik-challenge-automl-tpot", "kernel_id": "62864634"}, {"ref": "sasayaka/rohlik-challenge-automl-h2o", "kernel_id": "62866113"}, {"ref": "valentinemwai/rohlik-orders-eda-and-data-analysis", "kernel_id": "62657640"}, {"ref": "vishalreddychintham/rohlik-s", "kernel_id": "62722497"}, {"ref": "ihtishammehmood/advanced-regression-meta-models-ensambles", "kernel_id": "62697648"}, {"ref": "joshhaber/rohlik-eda", "kernel_id": "62596212"}, {"ref": "joshhaber/rohlik-baseline-xgb-regressor", "kernel_id": "62460780"}, {"ref": "alaaeddinkhet/full-eda-rohlik", "kernel_id": "62667030"}, {"ref": "yamarieli/orders-prediction", "kernel_id": "62982565"}, {"ref": "tariqcp/rofc-voting-0-0389", "kernel_id": "62572131"}, {"ref": "emadmakhlouf/rohlik-forecasting", "kernel_id": "62291395"}, {"ref": "ondrejmajor/rohlik-orders-prediction-lstm-w-result-plots", "kernel_id": "62009697"}, {"ref": "metlnfoor/rohlik-challange-xgb", "kernel_id": "62038320"}, {"ref": "yrrebeere/timegpt", "kernel_id": "62990355"}, {"ref": "pakutiini/gemini-1-5-pro", "kernel_id": "62252802"}, {"ref": "pakutiini/notebook11f9c1611f", "kernel_id": "62253299"}, {"ref": "wanyanwendi/ensemble-stacking-modified", "kernel_id": "62526573"}, {"ref": "mee1710/rohik-orders", "kernel_id": "62397374"}, {"ref": "akinduhiman/visual-eda-in-rohlik-orders-cleaned-ensembled", "kernel_id": "62423404"}, {"ref": "raghunandan9605/rohlik-order-forecasting", "kernel_id": "62205477"}, {"ref": "amjadzhour/rohlik-orders-forecasting-challenge", "kernel_id": "62727988"}, {"ref": "hulanaher/rohlik-orders-forecasting-challenge", "kernel_id": "62739317"}, {"ref": "sanjayakaswan/eda-analysis-and-rohlik-orders-pridiction", "kernel_id": "62020175"}, {"ref": "saronbantte/rohlik-orders-forecasting-challenge", "kernel_id": "62760961"}, {"ref": "mohammadyousifjamali/rohlik-orders-forecasting-challenge", "kernel_id": "62582042"}, {"ref": "stpeteishii/rohlik-orders-prediction-linearregression", "kernel_id": "63576911"}, {"ref": "wajahat1064/predicting-orders-using-ensemble-rf-xgb-0-0543", "kernel_id": "63180222"}, {"ref": "shanun123/rohlik-baseline-with-xgb-using-tscv", "kernel_id": "63882221"}, {"ref": "wamukoya/order-forecasting", "kernel_id": "63281286"}, {"ref": "mexwell/rohlik-orders-forecasting-eda-and-lightgbm", "kernel_id": "63011822"}, {"ref": "mexwell/rohlik-orders-forecasting-ensemble-voting", "kernel_id": "63025870"}, {"ref": "mexwell/predicted-feature-user-activity-2", "kernel_id": "63145380"}, {"ref": "damanjeetkaur/nrohlik-notebook", "kernel_id": "63016394"}, {"ref": "dmitriych/fork-of-ensemble-stacking-modified", "kernel_id": "63362729"}, {"ref": "joshhaber/rohlik-stacking-ensemble", "kernel_id": "63624036"}, {"ref": "alaaeddinkhet/rohlik-baseline-with-result-plot-score-0-0454", "kernel_id": "63314126"}, {"ref": "pratiibhas/rohlik-sales-data-analysis", "kernel_id": "63152856"}, {"ref": "keremzkezer/rohlik-orders-eda", "kernel_id": "63316087"}, {"ref": "tariqcp/orders-forecasting-private-score-0-0451", "kernel_id": "63507848"}, {"ref": "ondrejmajor/rohlik-orders-prediction-xgboost-w-result-plots", "kernel_id": "63375238"}, {"ref": "huzpsb/rohlik-stacking-ensemble", "kernel_id": "63639897"}, {"ref": "litsea/rohlik-decomposition-sinusoidal-approximation", "kernel_id": "63691065"}, {"ref": "capdiv/rohlik-notebook", "kernel_id": "63606247"}, {"ref": "bengisuylmaz/rohlik-orders-forecasting-eda-data-prep", "kernel_id": "63560445"}, {"ref": "ahmadfirman/stacking", "kernel_id": "63444873"}, {"ref": "ahmadfirman/order-forecasting-code-stacking", "kernel_id": "63135305"}, {"ref": "rabieelkharoua/rohlik-competition-8-ready-to-use-scripts", "kernel_id": "63319026"}, {"ref": "wasik2602/rohlik-forecasting", "kernel_id": "63109869"}, {"ref": "surekhaberlin/rohlik-orders-prediction-detailed-analysis", "kernel_id": "63790874"}, {"ref": "mahmoudredagamail/rohlik-orders-forecasting-challenge", "kernel_id": "63695449"}, {"ref": "tomkrger/rohlik-orders-forecasting-regression-feature-study", "kernel_id": "63502947"}, {"ref": "tomkrger/rohlik-forecasting-regression-feature-study", "kernel_id": "63521904"}, {"ref": "sabkabadlalega/rohlik-orders-forecasting", "kernel_id": "63284034"}, {"ref": "saitovicjan/rohlik-orders-forecasting-challenge-first-version", "kernel_id": "63668842"}, {"ref": "vladyslavkha/8th-place-solution-potential-5th-gpt-4o-fun", "kernel_id": "64664611"}, {"ref": "orxan77/rohlik-eda-visualization", "kernel_id": "64333099"}, {"ref": "wajahat1064/rohlik-orders-prediction-lightgbm-best-score", "kernel_id": "64927811"}, {"ref": "wajahat1064/rohlik-orders-forecasting-challenge-score-0-0365", "kernel_id": "64362717"}, {"ref": "wajahat1064/rohlik-order-prediction-finally-got-it", "kernel_id": "64545383"}, {"ref": "vincentschuler/rohlik-2024-public-0-361-private-0-379", "kernel_id": "64631912"}, {"ref": "beginner46/prediction-incroporating-calendardata", "kernel_id": "64481198"}, {"ref": "muhammadnadhifn/rohlik-orders-forecasting-ensemble-stacking", "kernel_id": "64318804"}, {"ref": "darkswordmg/rohlik-2024-2nd-place-solution-single-lgbm", "kernel_id": "64719399"}, {"ref": "pkuszboi/0-0358-ensemble-stacking-modified-metamodel", "kernel_id": "64202525"}, {"ref": "chickenboy/rohlik-2024-5th-solution-gbdt-approach", "kernel_id": "64699080"}, {"ref": "moamenibrahim2021/multi-regressors-meta-models-eda", "kernel_id": "64401391"}, {"ref": "mohammedmustafa648/rohlik-orders-forecasting", "kernel_id": "64615244"}, {"ref": "log1c3232/using-timesfm", "kernel_id": "64239653"}, {"ref": "syednazmussakib/random-forest", "kernel_id": "64171181"}, {"ref": "yosefibrahim/rohlik-orders-forecasting-challenge", "kernel_id": "64444404"}, {"ref": "alkidiarete/voting-regressor-orders-forecasting", "kernel_id": "64163687"}, {"ref": "alkidiarete/super-esemble", "kernel_id": "64471832"}, {"ref": "jaejohn/public-rohlik-score-0-0352", "kernel_id": "64430637"}, {"ref": "luciohilario/ee-and-ensemble-methods", "kernel_id": "64229644"}, {"ref": "wanyanwendi/ensemble-stacking-modified-metamodel", "kernel_id": "64129599"}, {"ref": "akinduhiman/rohlik-orders-forecasting-complete-analysis", "kernel_id": "64180992"}, {"ref": "leonhardhochfilzer/3rd-place-solution-rohlik-orders-forecasting", "kernel_id": "64727629"}, {"ref": "salaheddineelkhirani/xgboost-approach-for-warehouse-optimization", "kernel_id": "64402797"}, {"ref": "salaheddineelkhirani/accurate-e-grocery-order-predictions", "kernel_id": "64734344"}, {"ref": "akinduh/rohlik-orders-gradientboostedtreesmodel", "kernel_id": "64189001"}, {"ref": "harigoshika/forecasting-customer-orders", "kernel_id": "64070317"}, {"ref": "abhishekgupta36/rohlik-group-prediction", "kernel_id": "64323076"}, {"ref": "feitandodatascience/rohlik-phase-1-data-exploration", "kernel_id": "64826617"}, {"ref": "jackgisby/rohlik-orders-model-comparison-lightgbm-lstm", "kernel_id": "65010667"}, {"ref": "yunsuxiaozi/rohlik-top1-solution", "kernel_id": "65116093"}, {"ref": "vojtchondra/python-rohlik-s-orders-prediction", "kernel_id": "66081513"}, {"ref": "musabs2802/rohlik-orders-forecasting-challenge", "kernel_id": "80487449"}, {"ref": "qamarmath/rohlik-orders-forecasting-xgboost-with-dart-boost", "kernel_id": "84506754"}, {"ref": "qamarmath/fork-of-rohlik-orders-forecasting-xgboost-with-da", "kernel_id": "84658642"}]}
{"competition_id": "80878", "kernels": [{"ref": "vladyslavkha/one-of-top-scoring-solutions-oss-model-gpt-4o", "kernel_id": "62555834"}, {"ref": "pastorsoto/starter-notebook", "kernel_id": "63029024"}, {"ref": "vyacheslavshen/double-check-with-llms", "kernel_id": "63090327"}, {"ref": "kabirolawalemohammed/7th-place-solution", "kernel_id": "76784485"}]}
{"competition_id": "80905", "kernels": []}
{"competition_id": "80928", "kernels": []}
{"competition_id": "80934", "kernels": []}
{"competition_id": "80935", "kernels": [{"ref": "krishnayadav456wrsty/data-set-smokers-predicting-smoker-status-using-b", "kernel_id": "66725386"}]}
{"competition_id": "80939", "kernels": []}
{"competition_id": "80947", "kernels": []}
{"competition_id": "80975", "kernels": []}
{"competition_id": "80986", "kernels": []}
{"competition_id": "81000", "kernels": [{"ref": "bgroenks/introductory-notebook", "kernel_id": "59536023"}, {"ref": "divyasitani/randomforestsnotebook", "kernel_id": "59576461"}, {"ref": "lilybellesweet/baseline-predict-mean-crop-yield-in-training-set", "kernel_id": "59586352"}, {"ref": "lilybellesweet/baseline-predict-mean-yield-per-gridcell", "kernel_id": "59592343"}, {"ref": "picsoflily/tutorial-reg-tree-few-feat-manual-tune-splits", "kernel_id": "60222599"}, {"ref": "picsoflily/tutorial-weather-aggregation-using-thermal-sum", "kernel_id": "60144908"}, {"ref": "bgroenks/bayesian-crop-yield-estimation-with-pymc-bambi", "kernel_id": "60138642"}, {"ref": "lobsterjesus/example-lstm-fcn-in-pytorch", "kernel_id": "60575964"}, {"ref": "lilybellesweet/an-introduction-to-tree-based-models-exercises", "kernel_id": "60784212"}, {"ref": "lilybellesweet/simple-tree-based-model", "kernel_id": "60505405"}, {"ref": "picsoflily/r-script01-load-save-features", "kernel_id": "61683256"}, {"ref": "picsoflily/r-script02-process-model-predict", "kernel_id": "61303265"}, {"ref": "ronvbree/cnn-example", "kernel_id": "62698248"}, {"ref": "abdelghanibelgaid/fcc-load-datasets-75-memory-reduction", "kernel_id": "62169805"}, {"ref": "bgroenks/the-simple-crop-model-draft", "kernel_id": "63038831"}, {"ref": "jingyehan/lstm-demo", "kernel_id": "63517524"}, {"ref": "picsoflily/r-script01-load-save-features-v2", "kernel_id": "64336109"}, {"ref": "johanneskopton/crop-stages-model", "kernel_id": "64375660"}, {"ref": "xionyulin/lstm-randomsplit-trend-gdd", "kernel_id": "65384529"}, {"ref": "samuelotiattakorah/implementing-spatial-interactions", "kernel_id": "65354321"}, {"ref": "nazsumaira/final-maize", "kernel_id": "80884728"}, {"ref": "santoshcy/fc-ml-project", "kernel_id": "83368245"}]}
{"competition_id": "81116", "kernels": []}
{"competition_id": "81127", "kernels": [{"ref": "phmthnhduy/fds-88-7", "kernel_id": "60179068"}]}
{"competition_id": "81162", "kernels": []}
{"competition_id": "81166", "kernels": [{"ref": "sinhzun/hello-kbd-python", "kernel_id": "59033409"}]}
{"competition_id": "81206", "kernels": []}
{"competition_id": "81210", "kernels": [{"ref": "luongnguyenminhan/notebookddcc0696ff", "kernel_id": "59244612"}, {"ref": "nguynlmphngtho/lab2-dsr-ph-ng-th-o", "kernel_id": "59371499"}, {"ref": "ohmazio/lab2-nguy-n-tr-ng-th-ng", "kernel_id": "59452014"}, {"ref": "buitunghung/lap2-buitunghung", "kernel_id": "59319719"}, {"ref": "thbdh5765/lab-2-10-6", "kernel_id": "59423055"}, {"ref": "anhtun1704/dangtuananhse181546", "kernel_id": "59525352"}, {"ref": "ansangnguyen/ngngphuong-lab2", "kernel_id": "59414286"}]}
{"competition_id": "81215", "kernels": []}
{"competition_id": "81223", "kernels": [{"ref": "irfanqs/cnn-transfer-learning", "kernel_id": "59640330"}, {"ref": "samuelyumx/garbage-image-classification-for-retail-products", "kernel_id": "59590264"}]}
{"competition_id": "81265", "kernels": []}
{"competition_id": "81279", "kernels": []}
{"competition_id": "81288", "kernels": [{"ref": "ac1dbrn/notebookef840a1c2b", "kernel_id": "59429648"}]}
{"competition_id": "81336", "kernels": [{"ref": "dmitrykonovalov/cp3501-2024-project-template", "kernel_id": "59310923"}, {"ref": "dmitrykonovalov/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "59240657"}, {"ref": "ethanwaters/sota-performance-cp3501-project", "kernel_id": "59344680"}, {"ref": "kaungminaung/cp3501-assign-model1-resnet18", "kernel_id": "59695516"}, {"ref": "hongfeiqi/levit-384", "kernel_id": "59873917"}, {"ref": "fongsiuman/cp3501", "kernel_id": "60475206"}, {"ref": "kaungminaung/cp3501-assign-model2-resnet34", "kernel_id": "60700084"}, {"ref": "chiragverma1/cp3501-2024-tr2-using-fastai-lessons-v3", "kernel_id": "61942142"}, {"ref": "arkar1022/cp3501-2024-project-gp9", "kernel_id": "61326620"}, {"ref": "kaungminaung/cp3501-assign-model4-efficientnet", "kernel_id": "61352832"}, {"ref": "kaungminaung/cp3501-assign-model3-convnext-tiny", "kernel_id": "61346118"}, {"ref": "garvitmalik2121/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "61117608"}, {"ref": "jasonman14/fastai-lesson-6a-random-forests-5e1a30", "kernel_id": "61775011"}, {"ref": "sethgersbach/cp3501-2024-tr2-final-submission-seth-gersbach", "kernel_id": "61695569"}, {"ref": "trijeetbhandula/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "62625334"}, {"ref": "jonetran/jone-tran-retinamnis-tranning-model", "kernel_id": "62344783"}, {"ref": "wesleygilsenan/cp3501-2024-tr2-project-vgg16-bn", "kernel_id": "62562405"}, {"ref": "garvitmalik2121/cp3501-2024-project-template", "kernel_id": "62615208"}, {"ref": "caelsalmond/eye-classifier-template", "kernel_id": "62617080"}, {"ref": "alisj3/cp3501-2024-project-template", "kernel_id": "62550009"}, {"ref": "tharhtetdennis/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "62929623"}, {"ref": "nawmaythuhan/cp3501-tr2-2024-project-sg-group11", "kernel_id": "62744627"}, {"ref": "thomasleumann/cp3501-2024-project-tensortitans", "kernel_id": "62469311"}, {"ref": "jackcox343/cp3501-2024-tr2-using-densenet121", "kernel_id": "62638342"}, {"ref": "chiragverma1/cp3501-2024-jcub-g2-project", "kernel_id": "63727920"}, {"ref": "arkar1022/cp3501-2024-project-gp9-densenet169", "kernel_id": "63440055"}, {"ref": "arkar1022/cp3501-2024-project-gp9-beit-base", "kernel_id": "63662298"}, {"ref": "fongsiuman/cp3501-2024-project-template", "kernel_id": "63162063"}, {"ref": "lucaadornetto/notebook51f4c24cf6", "kernel_id": "63644642"}, {"ref": "garvitmalik2121/documentation-garvit-malik", "kernel_id": "63805158"}, {"ref": "garvitmalik2121/cp3501-2024-project-template-476038", "kernel_id": "63806585"}, {"ref": "chiehyuchenjames/cp3501-2024-tr2-using-fastai-lessons-v1-densenet", "kernel_id": "63347393"}, {"ref": "kwokchunyik/cp3501-2024-project-group12", "kernel_id": "63439210"}, {"ref": "eithinzarphyo/cp3501-2024-tr2-using-fastai-lessons-v1-cc5836", "kernel_id": "63494387"}, {"ref": "eithinzarphyo/fork-of-cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "63849274"}, {"ref": "eithinzarphyo/fork-of-cp3501-2024-tr2-using-fastai-lesson-6fafc3", "kernel_id": "63854616"}, {"ref": "wilsonvall/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "63005135"}, {"ref": "linhhoacao/cp3501-2024-tr2-using-fastai-lessons", "kernel_id": "63787590"}, {"ref": "linhhoacao/cp3501-2024-tr2-using-fastai-lessons-v2", "kernel_id": "63726100"}, {"ref": "linhhoacao/cp3501-2024-tr2-using-fastai-lessons-v1-831578", "kernel_id": "63695169"}, {"ref": "hongfeiqi/cp3501-2024-jcub-g2-project", "kernel_id": "63856240"}, {"ref": "waterdrinker/cp3501-2024-retinaminst-base-solution", "kernel_id": "63441306"}, {"ref": "waterdrinker/cp3501-2024-retinaminst-project", "kernel_id": "63440508"}, {"ref": "vihoa02/cp3501-2024-project-group-21", "kernel_id": "63004839"}, {"ref": "vihoa02/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "63004079"}, {"ref": "vihoa02/cp3501-2024-tr2-using-fastai-lessons-v1-3bb7b5", "kernel_id": "63790593"}, {"ref": "vihoa02/cp3501-2024-tr2-using-fastai-lessons-v1-fdac84", "kernel_id": "63803932"}, {"ref": "zhoujiejcu/cp3501-2024-project-gp9-rest50", "kernel_id": "63005089"}, {"ref": "tharhtetdennis/fork-of-convnext-large-cp3501-using-fastala", "kernel_id": "63412732"}, {"ref": "tharhtetdennis/beit-largeee", "kernel_id": "63537294"}, {"ref": "tharhtetdennis/group-14-cp3501-2024-project-template", "kernel_id": "63866434"}, {"ref": "caoshaungli/model-2-convnext-large", "kernel_id": "63698562"}, {"ref": "diyuyang0929/cp3501-vgg16-retinamnist", "kernel_id": "63338494"}, {"ref": "christianmadria/cp3501-vgg16-retinamnist", "kernel_id": "63003281"}, {"ref": "kuangziye/cp3501-assignment1-model1", "kernel_id": "63390568"}, {"ref": "kuangziye/cp3501-2024-project-group23", "kernel_id": "63796281"}, {"ref": "kuangziye/cp3501-assignment1-model2", "kernel_id": "63441970"}, {"ref": "aubienethompson/fork-of-cp3501-resnet-808624", "kernel_id": "63728134"}, {"ref": "albertjamesrequilme/cp3501-2024-proj-report-by-requilme-and-zhonghao", "kernel_id": "63395817"}, {"ref": "albertjamesrequilme/cp3501-2024-tr2-with-resnet18-model", "kernel_id": "63691864"}, {"ref": "albertjamesrequilme/cp3501-2024-tr2-using-densenet121", "kernel_id": "63721798"}, {"ref": "zhonghao666/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "63450857"}, {"ref": "zhonghao666/cp3501-jiang-zhonghao", "kernel_id": "63582276"}, {"ref": "lzpxenon/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "63422522"}, {"ref": "lzpxenon/cp3501-2024-tr2-using-fastai-lessons-v1-831578", "kernel_id": "63582345"}, {"ref": "lzpxenon/cp3501-2024-project-template-fc5083", "kernel_id": "63591610"}, {"ref": "lzpxenon/cp3501-2024-tr2-using-fastai-lessons-v1-dinovit", "kernel_id": "63462806"}, {"ref": "jaskiratbatth/cp3501-2024-project-template-37f83b", "kernel_id": "63782678"}, {"ref": "jaskiratbatth/cp3501-2024-project-template-476038", "kernel_id": "63798958"}, {"ref": "jaskiratbatth/cp3501-2024-project-template", "kernel_id": "63258401"}, {"ref": "shauntrinh/cp3501-2024-project-trinh-xuan-son", "kernel_id": "63829581"}, {"ref": "shauntrinh/model-densenet169-1st", "kernel_id": "63857093"}, {"ref": "shauntrinh/model-densenet121", "kernel_id": "63749355"}, {"ref": "shauntrinh/model-resnet18-2nd", "kernel_id": "63649851"}, {"ref": "khantzayyar20/cp3501-2024-projectgroup21", "kernel_id": "63848413"}, {"ref": "khantzayyar20/cp3501-2024-tr2", "kernel_id": "63822456"}, {"ref": "khantzayyar20/group-21-cp3501-2024-project-template", "kernel_id": "63819302"}, {"ref": "thomasleumann/cp3501-2024-tr2-using-fastai-lessons-levit", "kernel_id": "63332346"}, {"ref": "thomasleumann/cp3501-2024-tr2-using-fastai-crossvit-base", "kernel_id": "63382894"}, {"ref": "thomasleumann/cp3501-2024-tr2-using-fastai-efficientnet", "kernel_id": "63384429"}, {"ref": "jiemolv/cp3501-2024-project-template", "kernel_id": "63634842"}, {"ref": "johnsbijoy/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "63708157"}, {"ref": "johnsbijoy/cp3501-2024-project-johnsbijoy", "kernel_id": "63692243"}, {"ref": "johnsbijoy/cp3501-2024-tr2-using-densenet", "kernel_id": "63692893"}, {"ref": "jackcox343/fork-of-cp3501-2024-tr2-resnet50", "kernel_id": "63386182"}, {"ref": "aubienethompson/fork-of-cp3501-2024-aubiene-thompson", "kernel_id": "64917683"}, {"ref": "ahmedfreidoon/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "71308109"}, {"ref": "rbellthy/peilin-cp3501-2024-tr2-resnet18", "kernel_id": "71370463"}, {"ref": "rbellthy/cp3501-2024-project-notebook", "kernel_id": "72016987"}, {"ref": "rbellthy/peilin-cp3501-2024-tr2-vit", "kernel_id": "72013677"}, {"ref": "saisaingkham/cp3501-resnet-50", "kernel_id": "78733070"}, {"ref": "venuslu1128/cp3501-2025-tr2-group4-with-densenet121-medel", "kernel_id": "78849687"}, {"ref": "banyarsawthit/cp3501-2024-project-template-copy", "kernel_id": "78733208"}, {"ref": "banyarsawthit/cp3501-2025-tr1s-using-fastai-vgg16", "kernel_id": "78735838"}, {"ref": "dexterkwok/cp3501-project-alexnet", "kernel_id": "79187041"}, {"ref": "annaaa2/vgg-16-notebook", "kernel_id": "79230052"}, {"ref": "annaaa2/resnet-18-tuned", "kernel_id": "79816871"}, {"ref": "annaaa2/vgg-19-notebook", "kernel_id": "79816995"}, {"ref": "redonsh/cp3501-2024-project-template", "kernel_id": "79603109"}, {"ref": "jinwang3/cp3501deep-learning-assignment-group9", "kernel_id": "79339018"}, {"ref": "saisaingkham/cp3501-efficient-b0", "kernel_id": "79861766"}, {"ref": "venuslu1128/cp3501-2025tr2-group4-with-densenet121-model", "kernel_id": "79967145"}, {"ref": "banyarsawthit/cp3501-2024-tr2-using-fastai-densenet-121", "kernel_id": "79990652"}, {"ref": "victorkre/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "79328611"}, {"ref": "minkhantkyawfreddy/cp3501-2024-tr2-using-fastai-lessons-v1", "kernel_id": "79873525"}, {"ref": "astriazhu/cp3501-2025-project-report-group-12", "kernel_id": "80415207"}, {"ref": "letianyou/28-densenet121", "kernel_id": "80399109"}, {"ref": "letianyou/test28-vgg16", "kernel_id": "80476604"}, {"ref": "letianyou/testing2", "kernel_id": "80828047"}, {"ref": "letianyou/testing", "kernel_id": "80818657"}, {"ref": "letianyou/test16", "kernel_id": "80817119"}, {"ref": "ericzhang5050/notebookb416b7d438", "kernel_id": "80827416"}, {"ref": "musawirthaha/cp3501-2024-project-template", "kernel_id": "80825836"}, {"ref": "wengshenghao/3501-tr2-1", "kernel_id": "80822828"}, {"ref": "wengshenghao/notebook5da175e057", "kernel_id": "80823535"}, {"ref": "wengshenghao/cp3501-2025-tr2-retinamnist-classification-using", "kernel_id": "80767515"}, {"ref": "chetpotato/cp3501-vit-b-16-final", "kernel_id": "80770823"}, {"ref": "chetpotato/cp3501-alexnet-final", "kernel_id": "80748439"}, {"ref": "annaaa2/vgg-19-epoch-experiments", "kernel_id": "80437773"}, {"ref": "annaaa2/vgg-19-final-combo-experiments", "kernel_id": "80441028"}, {"ref": "annaaa2/vgg-19-augmentations-experiments", "kernel_id": "80429074"}, {"ref": "annaaa2/vgg-19-resize-experiments", "kernel_id": "80425501"}, {"ref": "jinwang3/cp3501deep-learning-assignment-model-test", "kernel_id": "80475278"}, {"ref": "haymanhninaye/resnet50-optimized", "kernel_id": "80616931"}, {"ref": "saisaingkham/fastai-lesson-8a-collaborative-filtering", "kernel_id": "80292715"}, {"ref": "saisaingkham/efficient-b0", "kernel_id": "80786148"}, {"ref": "banyarsawthit/resnet50my5", "kernel_id": "80780024"}, {"ref": "banyarsawthit/resnet50-opt", "kernel_id": "80758854"}, {"ref": "banyarsawthit/resnet50my2", "kernel_id": "80761752"}, {"ref": "yuanruigao/cp3501-2024-project-template", "kernel_id": "80814280"}, {"ref": "guoyuye/cp3501-vgg16-bn", "kernel_id": "80762685"}, {"ref": "guoyuye/convnext-tiny", "kernel_id": "80422564"}, {"ref": "guoyuye/mobilevit-s", "kernel_id": "80423763"}, {"ref": "guoyuye/convnext-tiny1", "kernel_id": "80431826"}]}
{"competition_id": "81342", "kernels": []}
{"competition_id": "81353", "kernels": []}
{"competition_id": "81366", "kernels": []}
{"competition_id": "81378", "kernels": [{"ref": "zjkjsd/example-autogluon", "kernel_id": "60093882"}, {"ref": "loganbenninghoff/modified-v2-lb", "kernel_id": "60510577"}, {"ref": "zjkjsd/0-basf2-reconstruction", "kernel_id": "63141726"}, {"ref": "zjkjsd/1-create-csv", "kernel_id": "63141821"}]}
{"competition_id": "81383", "kernels": []}
{"competition_id": "81397", "kernels": []}
{"competition_id": "81425", "kernels": []}
{"competition_id": "81427", "kernels": [{"ref": "himanshusinghal19/ml-ai-week-4-starter-notebook", "kernel_id": "59472537"}, {"ref": "sagnikdebnath007/ml-ai-week-4-hackathon", "kernel_id": "59589250"}, {"ref": "sneharaniiitbhu/2104-sneha", "kernel_id": "59708836"}, {"ref": "prakharasthana28/week-4-hackathon-ml-ai", "kernel_id": "60353784"}]}
{"competition_id": "81451", "kernels": []}
{"competition_id": "81488", "kernels": []}
{"competition_id": "81540", "kernels": []}
{"competition_id": "81559", "kernels": [{"ref": "octahedronbb/newcompe", "kernel_id": "65024358"}]}
{"competition_id": "81560", "kernels": []}
{"competition_id": "81613", "kernels": []}
{"competition_id": "81614", "kernels": [{"ref": "donnahardy/ai-unc-nlp-deebaby", "kernel_id": "72685307"}]}
{"competition_id": "81617", "kernels": [{"ref": "vishrutmishra/telecom-churn-case-study-hackathon-c61", "kernel_id": "60581233"}]}
{"competition_id": "81634", "kernels": [{"ref": "lynbrookmlclub/lhsml-blueberry-regression", "kernel_id": "66852482"}, {"ref": "albertshao0/submission-csv", "kernel_id": "69956511"}, {"ref": "aaronhma/aaron-albert-zachary", "kernel_id": "70637467"}]}
{"competition_id": "81681", "kernels": [{"ref": "vladislavmelnichuk/baseline-competition-notebook-v1", "kernel_id": "60565047"}]}
{"competition_id": "81704", "kernels": [{"ref": "finlay/deepfake-ffdi-baseline", "kernel_id": "61784640"}, {"ref": "finlay/deepfake-ffdi-ch2", "kernel_id": "61976672"}, {"ref": "finlay/deepfake-ffdv-ch2", "kernel_id": "61978306"}, {"ref": "finlay/deepfake-ffdi-ch3", "kernel_id": "61978946"}, {"ref": "finlay/deepfake-ffdi-stronger-baseline", "kernel_id": "61975419"}, {"ref": "chg0901/0-98-deepfake-ffdi-ways-to-defeat-0-86-beseline", "kernel_id": "61888645"}, {"ref": "amywucn/vit-head1000-epoch100-0-48", "kernel_id": "61897509"}, {"ref": "penghaohang/faceforensics-train", "kernel_id": "61893992"}, {"ref": "peilwang/faceforensics-train", "kernel_id": "61472385"}, {"ref": "peilwang/faceforensics-infer", "kernel_id": "61499343"}, {"ref": "heartachedoctor/deepfake-ffdi-heartachedoctor-final-submission", "kernel_id": "61943489"}, {"ref": "evenday/deepfake-ffdi-baseline", "kernel_id": "61932051"}, {"ref": "chg0901/deepfake-ffdi-ch3-modified-by-hong", "kernel_id": "62441172"}, {"ref": "chg0901/deepfake-ffdi-plot-transforms-illustrations", "kernel_id": "62443795"}, {"ref": "chg0901/0-98766-deepfake-ffdi-way-to-get-top-scores", "kernel_id": "62260994"}, {"ref": "chg0901/deepfake-ffdi-ch2-hong", "kernel_id": "62212225"}, {"ref": "ghosthim/deepfake-ffdi-res2next-50-se", "kernel_id": "62262479"}, {"ref": "athrunzala/arcface-learning-notebook", "kernel_id": "62069469"}, {"ref": "shengchao09/sheng-deepfake-ffdi-datawhale-ai", "kernel_id": "62494530"}, {"ref": "malong77/deepfake-datawhale-ai-task1", "kernel_id": "62075467"}, {"ref": "uishd666/transformers-resnet50", "kernel_id": "62017701"}, {"ref": "goodbyehot/deepfake-ffdi-baseline", "kernel_id": "62346489"}, {"ref": "demo2005/demo-0-98-deepfake-ffdi-baseline-with-bf16", "kernel_id": "62113083"}, {"ref": "ngoanphamvan/deepfake-ffdi-multiple-gpu-training-pipeline", "kernel_id": "62378518"}, {"ref": "tianoo/deepfake-ffdi-mobilenetv1x25", "kernel_id": "62140000"}, {"ref": "chalengr/chalengr-deepfake", "kernel_id": "63320100"}, {"ref": "ashrafsalahedlin/deep-fake-detection-hybrid-model", "kernel_id": "63372418"}, {"ref": "hallo123/deepfake-ffdi-base", "kernel_id": "64174127"}, {"ref": "ashrafsalahedlin/deep-fake-detection-hybrid-model-3", "kernel_id": "65787678"}, {"ref": "limeng09/faceforensics-train", "kernel_id": "66296591"}, {"ref": "liqingyuan2020/deepfake-ffdi-baseline", "kernel_id": "76506319"}, {"ref": "beatorisu/deepfake", "kernel_id": "76343639"}, {"ref": "emiyasaber/deepfake-ffdi-2", "kernel_id": "87513315"}]}
{"competition_id": "81718", "kernels": []}
{"competition_id": "81766", "kernels": []}
{"competition_id": "81786", "kernels": [{"ref": "finlay/deepfake-ffdv-baseline", "kernel_id": "61788425"}, {"ref": "finlay/deepfake-ffdv-ch2", "kernel_id": "61978306"}, {"ref": "finlay/deepfake-ffdv-ch3", "kernel_id": "61979642"}, {"ref": "chg0901/deepfake-ffdv-ch2-modified-by-hong", "kernel_id": "62273824"}, {"ref": "arnavai/deepfake-ffdv-baseline", "kernel_id": "69658098"}]}
{"competition_id": "81801", "kernels": []}
{"competition_id": "81819", "kernels": []}
{"competition_id": "81829", "kernels": []}
{"competition_id": "81843", "kernels": []}
{"competition_id": "81844", "kernels": []}
{"competition_id": "81848", "kernels": [{"ref": "prasadjawale/tomato-leaf-vein-segmentation", "kernel_id": "66037597"}]}
{"competition_id": "81854", "kernels": []}
{"competition_id": "81876", "kernels": []}
{"competition_id": "81882", "kernels": []}
{"competition_id": "81883", "kernels": []}
{"competition_id": "81886", "kernels": []}
{"competition_id": "81907", "kernels": []}
{"competition_id": "81911", "kernels": []}
{"competition_id": "81921", "kernels": []}
{"competition_id": "81923", "kernels": []}
{"competition_id": "81933", "kernels": [{"ref": "manswad/download-dataset-s4e9", "kernel_id": "65851522"}, {"ref": "karthikkashyap/imputeddatawithneuralnetwork", "kernel_id": "66925967"}, {"ref": "rsakata/cmi-piu-optimize-qwk-by-lgb", "kernel_id": "66513804"}, {"ref": "pehahn/view-from-a-doctor-on-some-features", "kernel_id": "66308738"}, {"ref": "onodera/starter-notebook-with-polars-gpu", "kernel_id": "66108607"}, {"ref": "thearchetype/cmi-piu-baseline-eda-beginner-friendly-work", "kernel_id": "66522311"}, {"ref": "flachboard/child-mind-institute-christopher-flach", "kernel_id": "66527844"}, {"ref": "manojajj/data-cleanup-eda-randomforest-new", "kernel_id": "66450307"}, {"ref": "manojajj/data-cleanup-eda-randomforest", "kernel_id": "66369816"}, {"ref": "shikhar2205/eda-missing-values-importance", "kernel_id": "66694498"}, {"ref": "docxian/cmi-problematic-internet-use-visual-starter", "kernel_id": "66057970"}, {"ref": "yururoi/cmi-exp0004", "kernel_id": "66229504"}, {"ref": "dan3dewey/cmi-2024-kaggle-addiction", "kernel_id": "66130564"}, {"ref": "elthran/baseline-neural-net-model", "kernel_id": "66116482"}, {"ref": "acaciabengo/child-mind-institute-data-analysis", "kernel_id": "66284729"}, {"ref": "tabassumnova/cmi-eda", "kernel_id": "66437465"}, {"ref": "beezus666/simple-eda-cv-and-lgbm", "kernel_id": "66035307"}, {"ref": "umar47/problematic-internet-use-xicorr-ensemble", "kernel_id": "66870757"}, {"ref": "caoshaoping/baseline", "kernel_id": "66705674"}, {"ref": "batprem/cmi-tuning-ensemble-of-solutions", "kernel_id": "66571826"}, {"ref": "siavrez/nn-version-01", "kernel_id": "66635154"}, {"ref": "stpeteishii/cmi-visualize-importance", "kernel_id": "66186642"}, {"ref": "stpeteishii/cmi-data-histplot", "kernel_id": "66093023"}, {"ref": "mpwolke/piu-problematic-internet-use", "kernel_id": "66034838"}, {"ref": "barteksadlej123/lgb-cv-starter", "kernel_id": "66674067"}, {"ref": "aparoski/not-my-kid-child-internet-overuse-eda", "kernel_id": "66390367"}, {"ref": "kmmmvs/starter-notebook-with-polars-gpu", "kernel_id": "66764397"}, {"ref": "morenovanton/cmi-problematic-internet-use-time-series-eda", "kernel_id": "66898673"}, {"ref": "hideyukizushi/cmi-single-lgbm-addfe-fs-lb-464", "kernel_id": "66488484"}, {"ref": "ryotayoshinobu/cmi2-sleep-detection-feature-engineering", "kernel_id": "66193506"}, {"ref": "iamparadox/multiseed-ensemble-for-cv-lb-correlation-lb-0-467", "kernel_id": "66693176"}, {"ref": "sierra022/how-not-to-approach-cmi-eda-of-train-data", "kernel_id": "66310009"}, {"ref": "meryentr/plotly-tutorial", "kernel_id": "66260022"}, {"ref": "anggidwifiani/pycaret-for-child-mind-sickness-r2-100", "kernel_id": "66651690"}, {"ref": "arvinthsss/cmi-competition", "kernel_id": "66560891"}, {"ref": "leetolo/cmi24-closer-look-at-outliers-eda-2", "kernel_id": "66785964"}, {"ref": "leetolo/piu24-eda-1-severity-focused", "kernel_id": "66238852"}, {"ref": "corneliuantonescu/successful-run-but-scoring-failed-fixed", "kernel_id": "66685445"}, {"ref": "mirzamilanfarabi/predicting-problematic-internet-use-with-lightgbm", "kernel_id": "66052301"}, {"ref": "skipjack24/problematic-internet-usage", "kernel_id": "66431455"}, {"ref": "valentinemwai/problematic-internet-use-eda-xgboost-ensemble", "kernel_id": "66381723"}, {"ref": "valentinemwai/problematic-internet-use-xgboost", "kernel_id": "66699049"}, {"ref": "tubotubo/starter-notebook-multi-target-prediction", "kernel_id": "66073559"}, {"ref": "lennarthaupts/cmi-detecting-problematic-digital-behavior", "kernel_id": "66864970"}, {"ref": "rishabhbhartiya/data-exploration-problematic-internet-use", "kernel_id": "66541551"}, {"ref": "sarabhian/cmi-1-eda-tsne-umap-high-dimension-analysis", "kernel_id": "66249597"}, {"ref": "akshatjainb20ci008/ensemble-operation", "kernel_id": "66339559"}, {"ref": "ambrosm/piu-eda-which-makes-sense", "kernel_id": "66138100"}, {"ref": "zainalinasir/cmi-optuna", "kernel_id": "66596196"}, {"ref": "ravi20076/cmi2024-packages-v1", "kernel_id": "66125426"}, {"ref": "ravi20076/cmi2024-baseline-v1", "kernel_id": "66177482"}, {"ref": "ravi20076/cmi2024-baseline-v2", "kernel_id": "66249504"}, {"ref": "ngavus1/a-noob-s-approach-to-cip-with-detailed-comments", "kernel_id": "66774386"}, {"ref": "rachpark/cmi-train", "kernel_id": "66659651"}, {"ref": "dnyaneshwalwadkar/solution-v1-regression-model", "kernel_id": "66563934"}, {"ref": "lauraromar/14th-place-solution", "kernel_id": "66412898"}, {"ref": "nassimsfaxi/cmi-physical-weight-replacing-outlier", "kernel_id": "66947079"}, {"ref": "oleholeynikov/understanding-quadratic-weighted-kappa-playaround", "kernel_id": "66470687"}, {"ref": "rafidmahbub/cmi-training-on-labeled-data", "kernel_id": "66507000"}, {"ref": "rafidmahbub/cmi-eda-with-pca-on-labeled-and-unlabeled-data", "kernel_id": "66216367"}, {"ref": "thomasdesousa/ci-preds", "kernel_id": "66993906"}, {"ref": "chanpreetsingh07/3b1b-problematic-all-experiments-so-far", "kernel_id": "66519489"}, {"ref": "tangzhendong/cmi-analysis-optuna-cat-xgb-lgbm", "kernel_id": "66425062"}, {"ref": "priyash07/am-i-lucky", "kernel_id": "66403792"}, {"ref": "ucas0v0zhuoqunli/cmi-start-v2", "kernel_id": "66426662"}, {"ref": "ucas0v0zhuoqunli/cmi-pca", "kernel_id": "66434191"}, {"ref": "ucas0v0zhuoqunli/cmi-start-v1", "kernel_id": "66249309"}, {"ref": "ucas0v0zhuoqunli/very-simple-start", "kernel_id": "66057800"}, {"ref": "robertopariente/submission-example-cmi-problematic-internet-use", "kernel_id": "66720647"}, {"ref": "antoninadolgorukova/cmi-piu-actigraphy-data-eda", "kernel_id": "66388147"}, {"ref": "antoninadolgorukova/cmi-piu-features-eda", "kernel_id": "66150984"}, {"ref": "paarkavipriyas/cmi-piu-eda", "kernel_id": "66726463"}, {"ref": "justincheung168/justin-child-mind-institute", "kernel_id": "66478277"}, {"ref": "vishnupriyagarige/child-mind-institute-problematic-internet-use", "kernel_id": "66578089"}, {"ref": "vishnupriyagarige/cmi-problematic-internet-use", "kernel_id": "66666048"}, {"ref": "nanthakumarans/problematic-internet-use-eda", "kernel_id": "66570360"}, {"ref": "rsbuvan/cmi-solution", "kernel_id": "66602109"}, {"ref": "rsbuvan/disorder-lgbm", "kernel_id": "66562425"}, {"ref": "rsbuvan/cmi-em4", "kernel_id": "66783051"}, {"ref": "wenzhewendyye/cmi-feature-construction-and-eda", "kernel_id": "66552128"}, {"ref": "serhiikravtsov/problematic-internet-use-baseline", "kernel_id": "66142040"}, {"ref": "serhiikravtsov/problematic-internet-use-eda", "kernel_id": "66324701"}, {"ref": "nzhao34/nick-s-notebook-fp", "kernel_id": "66840226"}, {"ref": "gonthinasaisriram/cmi-m1", "kernel_id": "66604788"}, {"ref": "gonthinasaisriram/cmi-em3", "kernel_id": "66780169"}, {"ref": "gonthinasaisriram/cmi-ensemble-method2", "kernel_id": "66768911"}, {"ref": "nikitavet/cmi-2024-baseline-ensemble", "kernel_id": "66726538"}, {"ref": "matthewsuri/cmi-problematic-internet-use", "kernel_id": "66298727"}, {"ref": "ismail89/multilayer-perceptron", "kernel_id": "66558538"}, {"ref": "ismail89/stacked-ensemble-regression", "kernel_id": "66771974"}, {"ref": "shadesh/hyperparameter-tuning-for-multiple-algorithms", "kernel_id": "66901611"}, {"ref": "shadesh/xgboost-classifier-with-cmi-v2", "kernel_id": "66725317"}, {"ref": "ccyhui/cmi-ensemble-optuna", "kernel_id": "66721086"}, {"ref": "caokhoihuynh/cmi-problematic-internet-use-eda", "kernel_id": "66920511"}, {"ref": "sofianechehboune/predicting-problematic-internet-use-with-xgboost", "kernel_id": "66522750"}, {"ref": "zarnainsyed0/cmi-xgb-optimized-qwkappa", "kernel_id": "66540582"}, {"ref": "def0017/cmi-train", "kernel_id": "66916168"}, {"ref": "kingkcabir/problematic-cmi", "kernel_id": "66958124"}, {"ref": "gagandeep44489/notebook401dff2647", "kernel_id": "66693362"}, {"ref": "abdmental01/optuna-optimizer", "kernel_id": "66320646"}, {"ref": "abdmental01/cmi-best-single-model", "kernel_id": "66116961"}, {"ref": "mehakiftikhar/lightgbm-modeling-with-optuna-a-focus-on-internet", "kernel_id": "66223821"}, {"ref": "mdalhadikhan/child-mind-institute-problematic-internet-use", "kernel_id": "66433429"}, {"ref": "abdullah0a/hybrid-models-tabnet-xg-cat-for-prediction", "kernel_id": "66931074"}, {"ref": "abdullah0a/ensamble-models", "kernel_id": "66342823"}, {"ref": "adarshsudheer/internet-competition", "kernel_id": "66388364"}, {"ref": "wuzhangming/cmi-eda", "kernel_id": "66068903"}, {"ref": "shuvosaha1234/problematic-internet-use", "kernel_id": "66906318"}, {"ref": "leontanemura/cmi-main-ensemble", "kernel_id": "66695878"}, {"ref": "leontanemura/cmi-eda", "kernel_id": "66740798"}, {"ref": "staniska/problematic-internet-use", "kernel_id": "66515608"}, {"ref": "dimabutko/cmi-solution", "kernel_id": "66493416"}, {"ref": "isratjahan123/child-mind-institute-problematic-internet-use", "kernel_id": "66608309"}, {"ref": "rthded/notebook10e2fdab57", "kernel_id": "66838180"}, {"ref": "valeriiabiruk/baseline-starter", "kernel_id": "66505409"}, {"ref": "prakharverma1122/notebookdb3f9c9c44", "kernel_id": "66726384"}, {"ref": "vishrutmishra/internet-usage-prediction-using-light-gbm", "kernel_id": "66879781"}, {"ref": "drravikumarc/lb-0-479-top-ranker-notebook-cmi-new", "kernel_id": "66665340"}, {"ref": "hoang6494/cmi-huy-h-anh", "kernel_id": "66046768"}, {"ref": "alokkumar175358/child-mind-institute", "kernel_id": "66898850"}, {"ref": "takapis/cmi-lb-0-473-voting", "kernel_id": "66972332"}, {"ref": "takapis/cmi-xgboost", "kernel_id": "66478146"}, {"ref": "takapis/cmi-analysis-optuna-cat-xgb-lgbm", "kernel_id": "66247320"}, {"ref": "dattran0509/m-nh-ph-c-quang-t-main", "kernel_id": "66896940"}, {"ref": "akhilsakthieswaran/child-mental", "kernel_id": "66502307"}, {"ref": "nikitakumari22/predicting-problematic-internet-use-with-ml", "kernel_id": "66530887"}, {"ref": "donmik/cmi-problematic-internet-use-part2", "kernel_id": "66496256"}, {"ref": "donmik/cmi-problematic-internet-use-part1", "kernel_id": "66452544"}, {"ref": "hiepnh52/ensamble-models", "kernel_id": "66805619"}, {"ref": "hiepnh52/cmi-nhh-uit", "kernel_id": "66802302"}, {"ref": "muhammaddawood42/cmi-single-lgbm-pure", "kernel_id": "66344176"}, {"ref": "muhammaddawood42/problematic-internet", "kernel_id": "66059332"}, {"ref": "muhammaddawood42/cmi-problematic-internet-use", "kernel_id": "66060275"}, {"ref": "zzzlazy/visualise-1", "kernel_id": "66632119"}, {"ref": "zzzlazy/exploratory-data-analysis", "kernel_id": "66566977"}, {"ref": "ajayasaithambi/starter-notebook-with-polars-gpu", "kernel_id": "66195976"}, {"ref": "nursenaglhan/child-mind-institude", "kernel_id": "66451254"}, {"ref": "aradhyeagarwal/starter-notebook-with-polars-gpu", "kernel_id": "66212663"}, {"ref": "dalmatianisgod/cmi-sleep", "kernel_id": "66493242"}, {"ref": "swandipsingha/cmi-36-ranked-notebook", "kernel_id": "66604890"}, {"ref": "octahedronbb/child-mind", "kernel_id": "66745346"}, {"ref": "codecavalier/rapids-cudf-powered-problematic-internet-analytics", "kernel_id": "66073970"}, {"ref": "mufeedkeenari/cmi-problematic-internet-use-m-k", "kernel_id": "66719101"}, {"ref": "cchangyyy/lb-0-482-beginner-friendly-notebook", "kernel_id": "66925924"}, {"ref": "tomyuen/clean-of-cmi-single-lgbm-f8db91", "kernel_id": "66962312"}, {"ref": "bogdanhramchenkov/notebook82eea172a6", "kernel_id": "66900547"}, {"ref": "htruong47/problematic-internet-use-eda", "kernel_id": "66734843"}, {"ref": "jonwibowo/lgb-simple-model", "kernel_id": "66959209"}, {"ref": "funmiakeju/submission-csv", "kernel_id": "66636370"}, {"ref": "sidcodegg/understanding-and-implementing-cohen-s-kappa", "kernel_id": "67542971"}, {"ref": "taimour/problematic-internet-usage-eda-pca-cmi", "kernel_id": "67275009"}, {"ref": "taimour/h2o-automated-machine-learning-piu", "kernel_id": "67157757"}, {"ref": "taimour/xgb-gridsearchcv-problematic-internet-usage", "kernel_id": "67105359"}, {"ref": "fbescalo/route-106", "kernel_id": "67821105"}, {"ref": "batprem/cmi-lb-0-479-util", "kernel_id": "67004886"}, {"ref": "batprem/lb-0-480-top-notebook", "kernel_id": "67387946"}, {"ref": "alfaimasb/childaddictionprediction-gp-oml", "kernel_id": "67250326"}, {"ref": "kitsuha/lb-0-451-voting-stacking", "kernel_id": "67898914"}, {"ref": "morenovanton/cmiensamblemodels-stratifiedkfold-with-tsflex", "kernel_id": "67119393"}, {"ref": "johnsonhk88/cmi-problematic-internet-use-ml", "kernel_id": "67144341"}, {"ref": "greysky/cmi-single-lgbm-cv-0-471-lb-0-460", "kernel_id": "67672789"}, {"ref": "aniruddhapa/0-348-lgbmclassifier", "kernel_id": "67056460"}, {"ref": "dehanc/lgbm-optuna-smote-targetremapping-actigraphy", "kernel_id": "67163258"}, {"ref": "dehanc/cmi-best-single-model", "kernel_id": "67031278"}, {"ref": "jppower/mini-project", "kernel_id": "67414651"}, {"ref": "jppower/problematic-internet-use-new-features-phisical-m", "kernel_id": "67467203"}, {"ref": "jppower/problematic-internet-use-bia-bia-features", "kernel_id": "67589235"}, {"ref": "jppower/problematic-internet-use-consumption-feature", "kernel_id": "67590254"}, {"ref": "jppower/problematic-internet-features-fgc-features", "kernel_id": "67547676"}, {"ref": "jppower/internert-detox", "kernel_id": "67135933"}, {"ref": "alexshumilov/cmi-models-for-missing-and-filled", "kernel_id": "67476733"}, {"ref": "arthurcapati/child-mind-institute", "kernel_id": "67854277"}, {"ref": "christyg/cmi-eda", "kernel_id": "67580212"}, {"ref": "fkaanfirat/eda-randomforest", "kernel_id": "67848828"}, {"ref": "rainegray/cmi-piu-simple-baseline-for-beginners-v0-1", "kernel_id": "67293563"}, {"ref": "motono0223/ros-seed42-cmi-new-target-sii-float", "kernel_id": "67263546"}, {"ref": "bhargavpriyadarshi2/cmi-ensemble", "kernel_id": "67379333"}, {"ref": "farisalahmdi/child-mind-institute-automl", "kernel_id": "67252278"}, {"ref": "bonesclarke26/piu-analysis-and-submission", "kernel_id": "67706443"}, {"ref": "sunghoshim/cmi-best-single-model-explained", "kernel_id": "67372588"}, {"ref": "kimtaebeom123/eda-childmind", "kernel_id": "67629538"}, {"ref": "gkanamoto/cmi-ensemble-stacking", "kernel_id": "67025115"}, {"ref": "malleo/notebook5beae609d3", "kernel_id": "67037762"}, {"ref": "chanpreetsingh07/these-all-approaches-are-suboptimal-3b1b", "kernel_id": "67421448"}, {"ref": "chanpreetsingh07/3b1b-jcm", "kernel_id": "67348220"}, {"ref": "xukongji/single-lgbm-lb-0-466", "kernel_id": "67893241"}, {"ref": "tangzhendong/data-fetch-multi-threaded-acceleration", "kernel_id": "67635057"}, {"ref": "omarlila/child-notebook", "kernel_id": "67019851"}, {"ref": "sumit08/child-mind-institude-part-2", "kernel_id": "67345298"}, {"ref": "priyash07/regression-lstm-series", "kernel_id": "67482925"}, {"ref": "priyash07/sample-submission-xgboost-classifier", "kernel_id": "67033445"}, {"ref": "glipko/child-mind-institute-baseline-notebook", "kernel_id": "67270381"}, {"ref": "justincheung168/justin-child-mind-institute-week4", "kernel_id": "67232818"}, {"ref": "justincheung168/parquetanalyzer-home", "kernel_id": "67945787"}, {"ref": "srj321/cmi-problematic-internet-use-in-adolescents", "kernel_id": "67528461"}, {"ref": "mohamedelarabie/child-mind-knn-kmeans-522f0f", "kernel_id": "67341858"}, {"ref": "mohamedelarabie/child-mind-knn-kmeans", "kernel_id": "67331073"}, {"ref": "mohamedelarabie/ml-project", "kernel_id": "67173515"}, {"ref": "rsbuvan/cmi-new-updated", "kernel_id": "67665149"}, {"ref": "rsbuvan/cmi-tuning-ensemble-of-solutions", "kernel_id": "67658530"}, {"ref": "gonthinasaisriram/lb-0-479-top-ranker-notebook-cmi-new", "kernel_id": "67048286"}, {"ref": "narnedheeraj/notebook67d01eb205", "kernel_id": "67362976"}, {"ref": "polygot13/child-internet", "kernel_id": "67156614"}, {"ref": "ash991/11-10-24-cmi", "kernel_id": "67315952"}, {"ref": "zhiyue666/cmi-piu-train-baseline", "kernel_id": "67265045"}, {"ref": "zhiyue666/cmipiu-make-data", "kernel_id": "67324119"}, {"ref": "vyom71/bda-innovative", "kernel_id": "67046298"}, {"ref": "awnishranjan/lb-0-487-beginner-friendly-notebook", "kernel_id": "67883234"}, {"ref": "danyamur/solution-blending-function", "kernel_id": "67664109"}, {"ref": "thinbo21521857/cs116-final", "kernel_id": "67391798"}, {"ref": "jiahaotian678/child-mind-institute", "kernel_id": "67315491"}, {"ref": "benkroust/metric-exploration", "kernel_id": "67299838"}, {"ref": "mushinw/cmi-problematic", "kernel_id": "67104561"}, {"ref": "mushinw/cmi-optuna-params-cat-xgb-lgbm", "kernel_id": "67270135"}, {"ref": "mushinw/cmi-optuna-stacking", "kernel_id": "67271089"}, {"ref": "duncankarugu/karugu-notebook", "kernel_id": "67367271"}, {"ref": "sauravdas07/simple-new-approach-prediction", "kernel_id": "67086837"}, {"ref": "martinmbalkam/cmi-propositon", "kernel_id": "67280119"}, {"ref": "adaturing/understanding-and-implementing-cohen-s-kappa", "kernel_id": "67693533"}, {"ref": "zaslam09/zee-project", "kernel_id": "67112630"}, {"ref": "jenithpatel20001/notebookfaff9d52e4", "kernel_id": "67028118"}, {"ref": "meteorodaniel/child-mind-institute-submission-function", "kernel_id": "67378054"}, {"ref": "emangope/child-mind", "kernel_id": "67152939"}, {"ref": "emangope/child-mind3", "kernel_id": "67154707"}, {"ref": "hiepnh52/cmi-ensemble-stacking", "kernel_id": "67764102"}, {"ref": "muhammaddawood42/cmi-piu-features-eda", "kernel_id": "67367678"}, {"ref": "wuhugugu/gbm-single", "kernel_id": "67868017"}, {"ref": "wuhugugu/random-forest", "kernel_id": "67866830"}, {"ref": "wuhugugu/weight-vote", "kernel_id": "67951370"}, {"ref": "linheshen/weight-v", "kernel_id": "67947906"}, {"ref": "linheshen/3-merge-model", "kernel_id": "67971656"}, {"ref": "linheshen/banjiandu-01", "kernel_id": "67027715"}, {"ref": "linheshen/delete-va", "kernel_id": "67074664"}, {"ref": "linheshen/half-sup", "kernel_id": "67068790"}, {"ref": "linheshen/cmi-best-single-model", "kernel_id": "67161586"}, {"ref": "linheshen/lb-0-480-top-notebook", "kernel_id": "67386965"}, {"ref": "linheshen/merge-new", "kernel_id": "67861056"}, {"ref": "dalmatianisgod/cmi-addedfeatures", "kernel_id": "67385690"}, {"ref": "mos2004v/ml-project-mostafa-v1", "kernel_id": "67162010"}, {"ref": "mos2004v/child-mind-nulls-fill-by-knn-kmeans-97-f1-score", "kernel_id": "67345253"}, {"ref": "mos2004v/child-mind-knn-kmeans-522f0f", "kernel_id": "67338527"}, {"ref": "mos2004v/ml-project-mostafa-v2", "kernel_id": "67316319"}, {"ref": "radhapyarikhumanthem/child-mind-institute", "kernel_id": "67040900"}, {"ref": "ahsanjowad/piu-randomforest-optuna", "kernel_id": "67346278"}, {"ref": "davidmesa73994/notebook9f7ecb05ec", "kernel_id": "67711330"}, {"ref": "chiakaokoroh/contrarianlogic-notebook", "kernel_id": "67044582"}, {"ref": "finturnier/fturnier1-trial5-final-project-institute", "kernel_id": "67295959"}, {"ref": "user103norhanmohamed/ml-project", "kernel_id": "67085616"}, {"ref": "user103norhanmohamed/child-mind-knn-kmeans", "kernel_id": "67314457"}, {"ref": "vishwasharish/problematic-internet-use", "kernel_id": "67440794"}, {"ref": "leenamoradmujahed/averaging-runs", "kernel_id": "67852703"}, {"ref": "alessioginelli/notebook78bad487c1", "kernel_id": "67467000"}, {"ref": "phamhoang1909/notebook1", "kernel_id": "67273268"}, {"ref": "hhuang065508/notebookac7fbf8fc2", "kernel_id": "67886043"}, {"ref": "andychen09230/cmicomp", "kernel_id": "67927351"}, {"ref": "meldacoskun/eda-histogram-correlation-missing-data", "kernel_id": "68451496"}, {"ref": "sidcodegg/pipeline-stratfold-autogluon", "kernel_id": "68088602"}, {"ref": "hemantnyadav/child-mind-institute-data-preparation", "kernel_id": "68450938"}, {"ref": "taimour/generative-adversarial-networks-lgb-piu-cmi", "kernel_id": "68174431"}, {"ref": "manojajj/bert-parquet-csv", "kernel_id": "68074008"}, {"ref": "rishabh15virgo/cmi-piu-detailed-eda-data-understanding", "kernel_id": "68496518"}, {"ref": "stefvanbuuren/minimal-mcar", "kernel_id": "68080216"}, {"ref": "luanafreitas/notebook-child-mind-institute", "kernel_id": "68567801"}, {"ref": "deepaksaldanha/feature-engineer-activity-summary-using-cudf", "kernel_id": "68866148"}, {"ref": "n3m3sis00/ptu-xgboost-single-model-only-csv-data", "kernel_id": "68014185"}, {"ref": "raufie/cmi-pre-solution-analysis-part-1", "kernel_id": "68869547"}, {"ref": "seonokrkim/cmi-piu-competition-lightgbm-xgboost-catboost", "kernel_id": "68445911"}, {"ref": "risakashiwabara/eda-child-mind-institute", "kernel_id": "68405653"}, {"ref": "omranshoaeip/piu-graphs", "kernel_id": "68131230"}, {"ref": "chanpreetsingh07/effective-solutions-for-missing-data-revamped-ts", "kernel_id": "68022815"}, {"ref": "chanpreetsingh07/advanced-feature-engineering-3b1b", "kernel_id": "68472665"}, {"ref": "parkersanderson/dnn-parker-project", "kernel_id": "68006774"}, {"ref": "xukongji/focalloss-pb-0-342", "kernel_id": "68058960"}, {"ref": "neetuaashi/cmi-tokenization-multinomial-lr", "kernel_id": "68270632"}, {"ref": "neetuaashi/cmi-classification-20-0-24", "kernel_id": "68147403"}, {"ref": "plukio/time-abnormalies", "kernel_id": "68457123"}, {"ref": "saidkoussi/vae-pytorch-lightgbm-wih-cuda-df", "kernel_id": "68091502"}, {"ref": "miyafuru/internet-use-v2", "kernel_id": "68066082"}, {"ref": "lucasdataartist/eda-problematic-internet-use", "kernel_id": "68903148"}, {"ref": "lucasdataartist/dominant-factor-problematic-internet-use", "kernel_id": "68266140"}, {"ref": "dtcrxs/cmi-cs116", "kernel_id": "68429033"}, {"ref": "diphylleia/internet-usage-pre-processing-and-understanding", "kernel_id": "68397923"}, {"ref": "rsbuvan/experiment", "kernel_id": "68151988"}, {"ref": "rsbuvan/cmicomp", "kernel_id": "68148310"}, {"ref": "b09208022/childmind-discovery-8d272f", "kernel_id": "68420677"}, {"ref": "ichigoe/lb0-494-with-tabnet", "kernel_id": "68139721"}, {"ref": "oimoimoimoimoii/child-mind-institute-problematic-internet-use", "kernel_id": "68010909"}, {"ref": "mehulparmar8001/final-code", "kernel_id": "68877479"}, {"ref": "yukabu15/cmi-addedfeatures", "kernel_id": "68633100"}, {"ref": "xiaoleilian/cmi-single-model-day-night-seasonal-features", "kernel_id": "68554469"}, {"ref": "xiaoleilian/cmi-single-model-optimal-parameters-optuna", "kernel_id": "68557266"}, {"ref": "duncankarugu/karuguduncan", "kernel_id": "68538043"}, {"ref": "poojapbabar/using-logistic-regression", "kernel_id": "68983768"}, {"ref": "tanbirisme/main-cmi", "kernel_id": "68174002"}, {"ref": "danielfreirejunior/notebookd77e367434", "kernel_id": "68039973"}, {"ref": "mohammedahmedxx12/train-exploration", "kernel_id": "68845372"}, {"ref": "takapis/cmi-is-linear-regression-error-a-feature", "kernel_id": "68493411"}, {"ref": "hiepnh52/effective-solutions-for-missing-data-revamped-ts", "kernel_id": "68992620"}, {"ref": "hnganh0084trng/cmi-clonemodel", "kernel_id": "68018072"}, {"ref": "wuhugugu/cmi-piu-competition", "kernel_id": "68244230"}, {"ref": "wuhugugu/3-merge-m", "kernel_id": "68117117"}, {"ref": "wuhugugu/experiment", "kernel_id": "68116774"}, {"ref": "wuhugugu/vae-pytorch-lightgbm-wih-cuda-df", "kernel_id": "68116583"}, {"ref": "wuhugugu/3-merge-ran", "kernel_id": "68081283"}, {"ref": "wuhugugu/5-merge", "kernel_id": "68069006"}, {"ref": "wuhugugu/notebook41e5b9a303", "kernel_id": "68037532"}, {"ref": "linheshen/pseud-train", "kernel_id": "68600434"}, {"ref": "linheshen/cmi-piu-competition", "kernel_id": "68244317"}, {"ref": "linheshen/new-merge", "kernel_id": "68070908"}, {"ref": "linheshen/random", "kernel_id": "68135128"}, {"ref": "cchangyyy/0-494-notebook", "kernel_id": "68048905"}, {"ref": "eslamalsaeed/competition", "kernel_id": "68583579"}, {"ref": "dredavi/cmi-dataset", "kernel_id": "68756942"}, {"ref": "vitohung/childmind-discovery", "kernel_id": "68085777"}, {"ref": "danielblancor/child-mind-institute-problematic-internet-use", "kernel_id": "68968056"}, {"ref": "nfrddhs/cmi-problematic-internet-use-challenge", "kernel_id": "68876542"}, {"ref": "daisyliu0225/data-deletion", "kernel_id": "68558699"}, {"ref": "lindseyanneyu926/notebookbae03c3a86", "kernel_id": "68896092"}, {"ref": "suezkingfml/advanced-feature-engineering-copy-of-3b1b", "kernel_id": "69284596"}, {"ref": "finlay/3b1b-problematic-all-experiments-so-far", "kernel_id": "69558466"}, {"ref": "manojajj/parquet-pytorch-cnn-64-55-accuracy", "kernel_id": "69550778"}, {"ref": "manojajj/csv-parquet-for-submission", "kernel_id": "69561018"}, {"ref": "manojajj/k-means-clustering", "kernel_id": "69644084"}, {"ref": "manojajj/parquet-classifier-64-accuracy", "kernel_id": "69642971"}, {"ref": "manojajj/parquet-submission-62-accuracy", "kernel_id": "69632955"}, {"ref": "zhangyue199/cmi-baseline", "kernel_id": "69483421"}, {"ref": "marciofilho7/optimize-qwk-lgb-vmf", "kernel_id": "69957846"}, {"ref": "dristi0705/lb-0-477-notebook-with-added-feature-engineering", "kernel_id": "69520856"}, {"ref": "dristi0705/lb0-49-cmi-reproducible-actigraphy-features", "kernel_id": "69519669"}, {"ref": "morenovanton/cmiensamblemodels-xgb-lgb-cb-with-tsflex-0-473", "kernel_id": "69354146"}, {"ref": "vyacheslavshen/lb-0-471-the-effect-of-residual-autoencoders", "kernel_id": "69275753"}, {"ref": "jppower/some-graphs", "kernel_id": "69080998"}, {"ref": "jppower/problematic-internet-use-deep-learning", "kernel_id": "69006309"}, {"ref": "jppower/try-deep-learning", "kernel_id": "69006845"}, {"ref": "abhisekdash37/ensemble-learning-problematic-internet-use", "kernel_id": "69108844"}, {"ref": "garfield2021/problematic-internet-use-eda-of-time-series-data", "kernel_id": "69933452"}, {"ref": "rahulwakalkar/child-mind-using-logistic-regression", "kernel_id": "69156748"}, {"ref": "yutotamura/to-fix-the-result-of-autoencoder", "kernel_id": "69298761"}, {"ref": "nicolesy/cmi-lgb-csv-start", "kernel_id": "69639284"}, {"ref": "uwu1234/modular-data-load-class-for-starter-notebook-gpu", "kernel_id": "69661062"}, {"ref": "farisalahmdi/child-mind-institute-inference", "kernel_id": "69146379"}, {"ref": "seonokrkim/lb0-494-with-tabnet", "kernel_id": "69398421"}, {"ref": "seonokrkim/simple-logistic-regression-v1", "kernel_id": "69812106"}, {"ref": "seonokrkim/simple-new-approach-prediction-xgbclassifier", "kernel_id": "69837676"}, {"ref": "nawinrajkumars/cmi-catboostversion", "kernel_id": "69285994"}, {"ref": "muhriddinmalik/problematic-internet-use-notebook", "kernel_id": "69107875"}, {"ref": "sunghoshim/cmi-lgbm-kr", "kernel_id": "69936814"}, {"ref": "kristiangohibi/child-mind-institute-problematic-internet-use", "kernel_id": "69874190"}, {"ref": "lucsxd/notebook1babf3ca5c", "kernel_id": "69366768"}, {"ref": "gunheeson/cmi-piu-son-best-model-ver-05", "kernel_id": "69830007"}, {"ref": "mordernwarriors/cmi-1", "kernel_id": "69415129"}, {"ref": "hngphchi/hfhhfh", "kernel_id": "69273442"}, {"ref": "hienmynguyen17/dmmmmm1", "kernel_id": "69596346"}, {"ref": "hienmynguyen17/test2", "kernel_id": "69553903"}, {"ref": "hienmynguyen17/demnaymatngu", "kernel_id": "69948664"}, {"ref": "gagandeep44489/child-mind-analysis", "kernel_id": "69895024"}, {"ref": "mehakiftikhar/ps4e11-mental-health-data-catboost", "kernel_id": "69552268"}, {"ref": "ellatsai/dm-team8-on-kaggle", "kernel_id": "69138361"}, {"ref": "alikhalid1/child-mind-instituite", "kernel_id": "69663437"}, {"ref": "yotsapatchompoopong/20-item-cat", "kernel_id": "69155420"}, {"ref": "ieemml2023110034103/dmfinalproject-ver1030", "kernel_id": "69285286"}, {"ref": "danielfreirejunior/notebookb604c9af6d", "kernel_id": "69273724"}, {"ref": "sayanroy11/child-mind-institute", "kernel_id": "69592408"}, {"ref": "jermainez/child-mind-institute-problematic-internet-use", "kernel_id": "69064527"}, {"ref": "mariaulasik/notebook8a471ac333", "kernel_id": "69777628"}, {"ref": "jrgenbildstein/test-submission", "kernel_id": "69651446"}, {"ref": "meteorodaniel/notebook15fa216710", "kernel_id": "69846849"}, {"ref": "bsmelbs/what-if", "kernel_id": "69544764"}, {"ref": "wilsonlin55555/dm-team8-on-kaggle", "kernel_id": "69113376"}, {"ref": "hnganh0084trng/lb0-494-with-tabnet-clone", "kernel_id": "69464714"}, {"ref": "wuhugugu/lb0-494-with-tabnet", "kernel_id": "69966318"}, {"ref": "wexhicy/cmi-my-model", "kernel_id": "69043149"}, {"ref": "linheshen/lb0-494-with-tabnet", "kernel_id": "69966506"}, {"ref": "jobinsabu/notebook0a1d8cdaf2", "kernel_id": "69217332"}, {"ref": "kiettuan01/advance-again", "kernel_id": "69646153"}, {"ref": "vitohung/data-deletion", "kernel_id": "69685002"}, {"ref": "iamwu30204/cmi-piu-actigraphy-data-eda", "kernel_id": "69828509"}, {"ref": "shodaifuruya/piu-eda-with-parquet", "kernel_id": "69736407"}, {"ref": "februarysmith/feature-eda-for-cmi", "kernel_id": "69412874"}, {"ref": "hjoblivion/dm-team8-on-kaggle", "kernel_id": "69110608"}, {"ref": "mahamadoumdiallo/using-logistic-regression", "kernel_id": "69063460"}, {"ref": "gulshan1995/lb-0-493", "kernel_id": "70772285"}, {"ref": "eraikako/cmi-problematic-internet-use-eda-modeling", "kernel_id": "70264037"}, {"ref": "revathiprakash/child-mind-institute-eda-wip", "kernel_id": "70740443"}, {"ref": "dristi0705/cmi-reproducible-actigraphy-addedfeatures-lb-0-465", "kernel_id": "70167618"}, {"ref": "kmmmvs/cmi-piu-features-eda", "kernel_id": "70955212"}, {"ref": "morenovanton/cmiensamblemodels-tsflex-base-preprocessing-v1", "kernel_id": "70113364"}, {"ref": "hideyukizushi/cmi-reproducible-results-fixseed-lgb-cpu-lb-492", "kernel_id": "70057072"}, {"ref": "yoshiharuiwasaki/cmi-piu-features-eda", "kernel_id": "70648180"}, {"ref": "meghanasrinath/child-internet-usage", "kernel_id": "70429112"}, {"ref": "waileuklo/internetuse", "kernel_id": "70477679"}, {"ref": "jvachier/multimodels-classification", "kernel_id": "70896982"}, {"ref": "b09902023moose/baseline", "kernel_id": "70683963"}, {"ref": "b09902111mattpaidme/mice-imputation-submission", "kernel_id": "70714836"}, {"ref": "aronconnors/childminds", "kernel_id": "70839548"}, {"ref": "dantheshark/child-mind-institute", "kernel_id": "70910177"}, {"ref": "nejcboltez/notebooke8b9d9ea3a", "kernel_id": "70824420"}, {"ref": "nguynxtuong/logistic-regression", "kernel_id": "70059035"}, {"ref": "william178/lb0-494-with-tabnet-02d701", "kernel_id": "70388812"}, {"ref": "recipient2209/cmipiu", "kernel_id": "70763593"}, {"ref": "obiwan307/sc1110", "kernel_id": "70277815"}, {"ref": "wonsoyeon/child-mind-try", "kernel_id": "70647641"}, {"ref": "alvamau09/child-mind-institute-problematic-internet-use", "kernel_id": "70523662"}, {"ref": "jrgenbildstein/test-xgboost", "kernel_id": "70075680"}, {"ref": "jlmaurora/lb0-494-with-tabnet-5", "kernel_id": "70712656"}, {"ref": "qiaoyingzhang/child-problematic-internet-use-eda", "kernel_id": "70755215"}, {"ref": "ititsam/4-76children-saftey-world", "kernel_id": "70546854"}, {"ref": "ititsam/gg-kids-gggggg", "kernel_id": "70537154"}, {"ref": "wilsonlin55555/dm-team-8-finals-ver2-k-means-random-forrest", "kernel_id": "70642327"}, {"ref": "tinflorek/child-mind", "kernel_id": "70780391"}, {"ref": "thngdngvit/version3", "kernel_id": "70991219"}, {"ref": "kuosys/cmi-reproducible-results-fixseed-lgb-cpu-lb-494", "kernel_id": "70152965"}, {"ref": "objenzh/cmi-problematic-internet-usage-competition", "kernel_id": "70717600"}, {"ref": "trcnveli/child-mind-institute-without-parquet-lb-452", "kernel_id": "70302765"}, {"ref": "dredavi/cmi-project-code", "kernel_id": "70413636"}, {"ref": "dredavi/clustering-assignment", "kernel_id": "70652006"}, {"ref": "ffufufufufufu/cmi-trail2", "kernel_id": "70283689"}, {"ref": "tilde3/child-sub1", "kernel_id": "70907801"}, {"ref": "yoshikazutaka/density-based-spatial-clustering", "kernel_id": "70835593"}, {"ref": "akirahoimancheng/isa5810-group4", "kernel_id": "70643069"}, {"ref": "nusratjahanlia/notebookafba66dfef", "kernel_id": "70928612"}, {"ref": "chunpingfang/dm-project", "kernel_id": "70612862"}, {"ref": "kaiyisung/cmi-problem-internet-use-analysis", "kernel_id": "70883344"}, {"ref": "vincentcheng216523/lgb-project", "kernel_id": "70174181"}, {"ref": "lawrencechernin/find-11-test-samples-in-the-train-set", "kernel_id": "71513018"}, {"ref": "adaubas/cmi-piu-private-449-cv-497-with-12-features", "kernel_id": "71190483"}, {"ref": "finlay/time-series-model", "kernel_id": "71329197"}, {"ref": "dmurage/cmi-problematic-internet-use-prediction-timeseri", "kernel_id": "71500669"}, {"ref": "rstrauss127/notebook83462011c8", "kernel_id": "71724175"}, {"ref": "cevangelist/categorify-bmi-for-children-and-teens", "kernel_id": "71686944"}, {"ref": "kitsuha/lb-0-483-with-lstm-vae", "kernel_id": "71688090"}, {"ref": "riadalmadani/large-ensamble-model", "kernel_id": "71338610"}, {"ref": "mgmostafa/cmi-best-single-model-simplified", "kernel_id": "71360266"}, {"ref": "mehrankazeminia/2-cmi-lgbm-xgb-cat-svr-knn", "kernel_id": "71306812"}, {"ref": "mehrankazeminia/1-cmi-target-sii-imputation-via-lgbm", "kernel_id": "71169939"}, {"ref": "mehrankazeminia/3-cmi-end-to-end", "kernel_id": "71899099"}, {"ref": "jeffersonrafael/case-de-estudo-lb0-470-com-tabnet", "kernel_id": "71427763"}, {"ref": "hieunguyendq/cmi-piu-use-pca-on-continous-vars-only", "kernel_id": "71569086"}, {"ref": "hieunguyendq/cmi-piu-ae-and-knn", "kernel_id": "71879006"}, {"ref": "kkkkmin/imputation-by-age-pseudo-label-rf-et-gbc", "kernel_id": "71388165"}, {"ref": "waileuklo/notebookee32e02f39", "kernel_id": "71183192"}, {"ref": "laiyunghwei/lb-0-493", "kernel_id": "71767217"}, {"ref": "moonikyung/cmi-feature-engineering", "kernel_id": "71603512"}, {"ref": "kw5t45/0-432-no-accelerometer-data", "kernel_id": "71256015"}, {"ref": "kitazawakeiichi/cmi-piu-eda", "kernel_id": "71821535"}, {"ref": "omranshoaeip/piu-internet-use", "kernel_id": "71711271"}, {"ref": "taxuanduy/ichigo-e-s-tabnet", "kernel_id": "71304868"}, {"ref": "sebascabrera12/generate-images-for-image-classification-of-sii", "kernel_id": "71352545"}, {"ref": "kzkknmt/8th-solution-inference-note", "kernel_id": "71611288"}, {"ref": "dtcrxs/cmi-tabnet", "kernel_id": "71442482"}, {"ref": "aayushiweb/child-institute", "kernel_id": "71606856"}, {"ref": "mhamedadnan/child-mind-institute", "kernel_id": "71367128"}, {"ref": "tiaranisibarani/12s22037-week14", "kernel_id": "71800137"}, {"ref": "plebianstribe/cmi-time-series-extraction", "kernel_id": "71675582"}, {"ref": "quangtngbi/cmi-piu-machine-learning-tht", "kernel_id": "71736479"}, {"ref": "rovlez/cmi-notebook", "kernel_id": "71270643"}, {"ref": "eunjungham/lb0-494-with-tabnet", "kernel_id": "71752789"}, {"ref": "niteshchawla5/cmi-vanilla-model-0-352", "kernel_id": "71962705"}, {"ref": "adeyazekasiahaan/notebook9", "kernel_id": "71799042"}, {"ref": "eunkihong12/newbie-s-submission-2-data-cleaning", "kernel_id": "71516157"}, {"ref": "larryjiang07/catboost-for-problematic-internet-use-no-acc-data", "kernel_id": "71445248"}, {"ref": "theowiese/parquet-tests", "kernel_id": "71478820"}, {"ref": "sunnyvarnawal/child-mind-eda", "kernel_id": "71758284"}, {"ref": "hanhdz123/model-no4", "kernel_id": "71974209"}, {"ref": "neuromanxer/lb0-494-with-tabnet-ea51fd", "kernel_id": "71880209"}, {"ref": "jtd13dt/pmiv2", "kernel_id": "71824459"}, {"ref": "amoghrajvanshi/eda-piu", "kernel_id": "71518334"}, {"ref": "amoghrajvanshi/analysis-model-piu", "kernel_id": "71544935"}, {"ref": "shinny5624/ml-exploratory-data-analyst", "kernel_id": "71978784"}, {"ref": "nguyensytan/team19-submission", "kernel_id": "71972134"}, {"ref": "hanstong/fork-of-child-mind-institude", "kernel_id": "71205401"}, {"ref": "vanhuyluan/team-7", "kernel_id": "71519210"}, {"ref": "mihongqu/problematic-internet-use", "kernel_id": "71310018"}, {"ref": "ryanbchen/cmi-prediction", "kernel_id": "71174582"}, {"ref": "fonziii/ensemble-models", "kernel_id": "71610078"}, {"ref": "vuthiminhthu/lb0-494-with-tabnet", "kernel_id": "71492506"}, {"ref": "vuthiminhthu/lb0-494-with-tabnet-ec993b", "kernel_id": "71496899"}, {"ref": "chihoangf/data-processing-kimchi", "kernel_id": "71709382"}, {"ref": "chihoangf/lb0-494-with-tabnet", "kernel_id": "71906241"}, {"ref": "chihoangf/demoo", "kernel_id": "71942893"}, {"ref": "chihoangf/chi-s-data-2-0", "kernel_id": "71970305"}, {"ref": "mahabualahiatik/private-score-470-childmind-voting-boosting-model", "kernel_id": "71184414"}, {"ref": "qiaoyingzhang/child-problematic-internet-use-feature-engineering", "kernel_id": "71278489"}, {"ref": "shigekii/we-tried-parent-child-internet-addiction-test", "kernel_id": "71600068"}, {"ref": "hiepnh52/cmi-try-new-solutions", "kernel_id": "71287448"}, {"ref": "nvnhat04/cmi-piu-hnl", "kernel_id": "71367658"}, {"ref": "louisseillier/notebook-mlp", "kernel_id": "71526196"}, {"ref": "samuelsitio/samuel-sitio", "kernel_id": "71800274"}, {"ref": "tuantm04/cmi-problematic-internet-use", "kernel_id": "71627503"}, {"ref": "passionfruit216/ensemble", "kernel_id": "71693743"}, {"ref": "laamegg/cmi-best-single-model", "kernel_id": "71659742"}, {"ref": "dolokbutarbutar/tes1dolokb", "kernel_id": "71800557"}, {"ref": "graciapurba/12s22040", "kernel_id": "71977197"}, {"ref": "rosarisimanjuntak/12s22052-rosari", "kernel_id": "71799715"}, {"ref": "nikitasimanjuntak/12s22005-nikita-simanjuntak", "kernel_id": "71799629"}, {"ref": "ferrypanjaitan/12s22027-ferry-ando-h-o-panjaitan-neural", "kernel_id": "71800756"}, {"ref": "kaylascholawrene/child-mind-v1", "kernel_id": "71983058"}, {"ref": "anphmng/submit", "kernel_id": "71695609"}, {"ref": "polymaharshipandya/dsa-507-final-project-notebook-1", "kernel_id": "71909141"}, {"ref": "shagunroperiasjsu/svm-model-implementation", "kernel_id": "71362572"}, {"ref": "yoshikazutaka/agglomerativeclustering", "kernel_id": "71458493"}, {"ref": "bigwaterc/bigwaterc-cmi-c", "kernel_id": "71676285"}, {"ref": "hossamfarhoud/child-mind-institute-competiton", "kernel_id": "71648551"}, {"ref": "kaiyisung/lb-0-483-with-lstm-vae", "kernel_id": "71922541"}, {"ref": "trngnguynngcminh/lb0-494-with-tabnet", "kernel_id": "71000878"}, {"ref": "hyeryeongle/basic-demos-enroll-season", "kernel_id": "71609542"}, {"ref": "yuquanxia/cmi-best-single-model", "kernel_id": "71120282"}, {"ref": "a22028301/model-non", "kernel_id": "71968112"}, {"ref": "phapsucongu/lb0-494-with-tabnet", "kernel_id": "71690374"}, {"ref": "imtiazahmedadar/child-mind-problem", "kernel_id": "71891448"}, {"ref": "tuananhtuoilol/model-no2", "kernel_id": "71967559"}, {"ref": "tuananhtuoilol/xamlol", "kernel_id": "71972499"}, {"ref": "tuananhtuoilol/model-no3", "kernel_id": "71969003"}, {"ref": "vitalykudelya/cmi-issues-with-the-metric-and-baseline", "kernel_id": "72864688"}, {"ref": "a553649508/cmi-piu-deeptables-nn-cv-0-472", "kernel_id": "72952011"}, {"ref": "mezianek/cmi-piu-lgbm-solutiontop100", "kernel_id": "72095560"}, {"ref": "eraikako/notebook71ff34275a", "kernel_id": "72963803"}, {"ref": "yekenot/cmi-piu-deeptables-nn-cv-0-482", "kernel_id": "72725024"}, {"ref": "shiyili/3-cmi-end-to-end", "kernel_id": "72571898"}, {"ref": "tsunotsuno/cmi-exp025-stacking-cat-and-tabnet", "kernel_id": "72040990"}, {"ref": "cevangelist/autoenccoders-and-gbdt-regressors", "kernel_id": "72754363"}, {"ref": "gunesevitan/cmi-piu-solution", "kernel_id": "72302109"}, {"ref": "tztang/c-cmi-piu-features-eda", "kernel_id": "72408936"}, {"ref": "morenovanton/cmiensamblemodels-tsflex-base-preprocessing-v2", "kernel_id": "72052916"}, {"ref": "morenovanton/cmiensamblemodels-lgb-xgb-cb-rf-gb-with-tsflex", "kernel_id": "72463074"}, {"ref": "angel22/project-pattern-recognition", "kernel_id": "72298231"}, {"ref": "brian0714/nthu-baml3", "kernel_id": "72166247"}, {"ref": "usamaasif/qwk-0-45", "kernel_id": "72414004"}, {"ref": "usamaasif/child-mind-institute", "kernel_id": "72293781"}, {"ref": "jppower/my-last-notebook-until-this-competition-ends", "kernel_id": "72153379"}, {"ref": "jppower/internet-health", "kernel_id": "72632715"}, {"ref": "koyohoriuchi/cmi-piu-features-eda", "kernel_id": "72111551"}, {"ref": "ifeadewumi/lb0-494-with-tabnet-cv-0-467-pb-0-435", "kernel_id": "72103893"}, {"ref": "hieunguyendq/cmi-piu-pca-autoencoder-lightgbm-v2", "kernel_id": "72356834"}, {"ref": "yogavarshni/ramachandran1", "kernel_id": "72479097"}, {"ref": "darkswordmg/0-494-notebook", "kernel_id": "72290981"}, {"ref": "darkswordmg/cmi-problematic-internet-use-visual-starter", "kernel_id": "72448001"}, {"ref": "face0650/cmi-992th-out-of-3692", "kernel_id": "72929535"}, {"ref": "chenweiliu/notebook033077e4c5", "kernel_id": "72285660"}, {"ref": "konstantinboyko/the-third-model-from-the-notebook-0-497", "kernel_id": "72866754"}, {"ref": "konstantinboyko/the-second-model-from-the-notebook-0-497", "kernel_id": "72865861"}, {"ref": "duonghell/childmindexample", "kernel_id": "72945300"}, {"ref": "benjaminpartida14/notebook84905b571f", "kernel_id": "72365194"}, {"ref": "kurapuchi/notebooke7ce530886", "kernel_id": "72502292"}, {"ref": "taxuanduy/cmi-chotepanit-s-ensemble-of-solutions-hyp-vae", "kernel_id": "72978332"}, {"ref": "sebascabrera12/training-cnn-images-from-actigraphy-data", "kernel_id": "72221030"}, {"ref": "cyenskaggle/lb-494-multi-model-feature-importance-analysis", "kernel_id": "72688410"}, {"ref": "eu1234/cmi-piu-multi-level-ensemble-of-gbms", "kernel_id": "72174154"}, {"ref": "ahmedwaelz/complete-eda-and-visualization-for-csv-files", "kernel_id": "72523187"}, {"ref": "ahmedwaelz/complete-eda-ml-model", "kernel_id": "72523474"}, {"ref": "tranconghai/only-gb-ver1", "kernel_id": "72292309"}, {"ref": "kiendophuc/only-gb-ver1", "kernel_id": "72286732"}, {"ref": "h24101303/nonbook", "kernel_id": "72472540"}, {"ref": "alan020502/mltraining", "kernel_id": "72628579"}, {"ref": "oliverchamberlain/exploratory-data-analysis-child-mind-int-comp", "kernel_id": "72401863"}, {"ref": "enkaggle/first-try", "kernel_id": "72558560"}, {"ref": "comp8oe/cmi-k8-5-cv0-4827", "kernel_id": "72756042"}, {"ref": "ruichardliu/baseliner0-445", "kernel_id": "72847074"}, {"ref": "fhermin/libretita", "kernel_id": "72278491"}, {"ref": "saiharshavarma28/knn-inputer", "kernel_id": "72228515"}, {"ref": "saiharshavarma28/knn-imputer-lstm", "kernel_id": "72256084"}, {"ref": "abdoun/competition-notebook", "kernel_id": "72801113"}, {"ref": "tkt314/kagglecompetition-d27d0f", "kernel_id": "72339784"}, {"ref": "tkt314/kagglecompetition", "kernel_id": "72307669"}, {"ref": "meilynasahutajulu/12s22039-meilyna-neuralnetwork", "kernel_id": "72253739"}, {"ref": "sdeogade/child-mind-institute-problematic-internet-use", "kernel_id": "72743187"}, {"ref": "victor405/piu-vlg", "kernel_id": "72234831"}, {"ref": "nurfajriahoktaviani/12s22042-praktikum08", "kernel_id": "72322013"}, {"ref": "roboticsismylife/notebook1", "kernel_id": "72565568"}, {"ref": "bronsontmsiallagan/notebook224230983d", "kernel_id": "72229770"}, {"ref": "wilsonsihombing/workbook-wilson", "kernel_id": "72239921"}, {"ref": "wilsonsihombing/notebook785a97f785", "kernel_id": "72446401"}, {"ref": "wilsonsihombing/notebook5d9ded5854", "kernel_id": "72447979"}, {"ref": "brainwonderson/notebookc223da7edd", "kernel_id": "72295885"}, {"ref": "hongvnphi/cmi-pts", "kernel_id": "72483247"}, {"ref": "tosifansari/first214104008", "kernel_id": "72780237"}, {"ref": "hovuan/cmil-pciat-pciat", "kernel_id": "72022720"}, {"ref": "chuquangcan/child-mind-institute-model", "kernel_id": "72030217"}, {"ref": "rohitkumar211987/notebook4dad8b10ef", "kernel_id": "72104027"}, {"ref": "daviddurazo48/proyecto-integrador-rf", "kernel_id": "72143533"}, {"ref": "manuelmdz/problematic-internet-use-juan-manuel", "kernel_id": "72358404"}, {"ref": "hanhdz123/model-no8", "kernel_id": "72204842"}, {"ref": "tranthaiduong123/ver-1-2-3", "kernel_id": "72164422"}, {"ref": "tranthaiduong123/notebook704b41005e", "kernel_id": "72394510"}, {"ref": "tranthaiduong123/ver-2-1", "kernel_id": "72482815"}, {"ref": "thefool484/basic-model-2", "kernel_id": "72224646"}, {"ref": "thefool484/visualize-data", "kernel_id": "72019004"}, {"ref": "shinny5624/ml-exploring-data-analyst", "kernel_id": "72152523"}, {"ref": "tranhhoang/xgbregressor", "kernel_id": "72448006"}, {"ref": "nguyensytan/cmi-submit", "kernel_id": "72792642"}, {"ref": "kienbeoo/child-mind-eda", "kernel_id": "72282760"}, {"ref": "rechadsanehy/child-mind-institute-problematic-internet-use", "kernel_id": "72566483"}, {"ref": "ngoxuntrc/cmi-no-imputer", "kernel_id": "72973455"}, {"ref": "wiktortobota/notebook048f93cb2b", "kernel_id": "72206536"}, {"ref": "katrina14/notebookfa2321acd9", "kernel_id": "72297751"}, {"ref": "winfreynainggolan/12s22001-winfrey-nainggolan-neural-network", "kernel_id": "72282496"}, {"ref": "chihoangf/cmi-tuning-ensemble-of-solutions-26d9ec", "kernel_id": "72379209"}, {"ref": "chihoangf/cmi-tuning-ensemble-of-solutions-f90d83", "kernel_id": "72911943"}, {"ref": "khnhvinhlu/0-494-notebook-analysis", "kernel_id": "72751673"}, {"ref": "trhuuloc04/kagglecompetition", "kernel_id": "72312229"}, {"ref": "trhuuloc04/kagglecompetition-testing", "kernel_id": "72342497"}, {"ref": "bsmelbs/solution-for-cim", "kernel_id": "72433874"}, {"ref": "anushbareyan/cmi-new", "kernel_id": "72444070"}, {"ref": "thintrnghphc/lb0-494-with-tabnet", "kernel_id": "72750779"}, {"ref": "nvnhat04/cmi-piu-features-eda", "kernel_id": "72375047"}, {"ref": "amadorosas/child-mind-internet-use-catboost-model", "kernel_id": "72251975"}, {"ref": "wilsonlin55555/cmi-piu-by-tabnet", "kernel_id": "72236728"}, {"ref": "quanghtrngduy/cs116-another-version", "kernel_id": "72561300"}, {"ref": "thanhbuithi/thanh-bui-tuning-ensemble-of-solutions", "kernel_id": "72829425"}, {"ref": "tinflorek/cmi-internet", "kernel_id": "72032368"}, {"ref": "tinflorek/handling-sii", "kernel_id": "72267867"}, {"ref": "tinflorek/predicting-pipeline", "kernel_id": "72313513"}, {"ref": "knguyntrngia/cmi-ensemble-4-models-cv-0-460-pb-0-445", "kernel_id": "72973847"}, {"ref": "alanc52/cmi1234", "kernel_id": "72874197"}, {"ref": "tamarayunika/neural", "kernel_id": "72236165"}, {"ref": "jeremysamosir/12s22029-jeremy-samosir-problematic-internet-use", "kernel_id": "72231151"}, {"ref": "sruthialya/submission-csv", "kernel_id": "72464558"}, {"ref": "quang0150/project", "kernel_id": "72742857"}, {"ref": "passionfruit216/model-2", "kernel_id": "72251471"}, {"ref": "passionfruit216/model3", "kernel_id": "72285940"}, {"ref": "jesusantonioflores/final-with-comments", "kernel_id": "72216776"}, {"ref": "kentamaeda/piu-submission1", "kernel_id": "72849924"}, {"ref": "deconasser/auuutogulon", "kernel_id": "72437051"}, {"ref": "janmathijs/predicting-problematic-internet", "kernel_id": "72312258"}, {"ref": "ruhul20/child-mind-problematic-internet", "kernel_id": "72322753"}, {"ref": "iokapurba/tes-1", "kernel_id": "72298123"}, {"ref": "bryanevanssss/notebook13c7531ccf", "kernel_id": "72252789"}, {"ref": "keziahutagaol/just-try", "kernel_id": "72234366"}, {"ref": "angelinanadeak/12s22015-angelinanadeak-p", "kernel_id": "72260419"}, {"ref": "mickaelsitompul/12s22033-heri", "kernel_id": "72230404"}, {"ref": "mulyadisiahaan/neural-12s22034-mulyadi-yamin-siahaan", "kernel_id": "72039858"}, {"ref": "cintyasitorus/12s22045-cintyya-sitorus", "kernel_id": "72172109"}, {"ref": "yohanasitanggang/12s22050-yohana-sitanggang", "kernel_id": "72290811"}, {"ref": "jesicasiburian/018-jesica-angreni-m-siburian", "kernel_id": "72238650"}, {"ref": "krisniacalysta/12s22021-cmi", "kernel_id": "72305806"}, {"ref": "krisniacalysta/12s22021-krisnia-calysta-siahaan-cmi-piu", "kernel_id": "72419665"}, {"ref": "jufourlisasirait/12s22044", "kernel_id": "72172499"}, {"ref": "ernisarumaha/erni-12s22047", "kernel_id": "72110080"}, {"ref": "irasilalahi/ira-silalahi-048", "kernel_id": "72109117"}, {"ref": "agnesharefa/12s22049-agnes-harefa-neural-network", "kernel_id": "72323358"}, {"ref": "nikitasimanjuntak/notebookaaacfd6af5", "kernel_id": "72287049"}, {"ref": "nikitasimanjuntak/12s2005-nikita-simanjuntak", "kernel_id": "72424669"}, {"ref": "rubenmartogi/ruben-sianipar", "kernel_id": "72251575"}, {"ref": "rahelsimanjuntak2909/12s22008-rahel-simanjuntak", "kernel_id": "72232623"}, {"ref": "fajarhtb/percobaan-2", "kernel_id": "72422067"}, {"ref": "fajarhtb/12s22005-nikita", "kernel_id": "72319965"}, {"ref": "fajarhtb/notebook2a2fd4bfd7", "kernel_id": "72307942"}, {"ref": "reinhardbatubara/12s22012-reinhard-batubara-child-mind-institute1", "kernel_id": "72109979"}, {"ref": "christoffeltheofani/12s22013", "kernel_id": "72297512"}, {"ref": "yohanasiahaan/yohana-siahaan", "kernel_id": "72086519"}, {"ref": "trquanghuy1007/cmi-best-single-model", "kernel_id": "72235482"}, {"ref": "bethaniahasibuan/12s22004-bethania-hasibuan", "kernel_id": "72322754"}, {"ref": "jeremynainggolan/mj-inet-problematic", "kernel_id": "72145434"}, {"ref": "hunggg123/tabnet-saint", "kernel_id": "72740857"}, {"ref": "chikasitumorang/12s22023-chika", "kernel_id": "72304297"}, {"ref": "difyaambarita06/difya-laurensya", "kernel_id": "72320802"}, {"ref": "pimpinahaswerosloi/pimpin-p09", "kernel_id": "72303623"}, {"ref": "beatafaron/problematic-internet-use-ml-simple-run", "kernel_id": "72252685"}, {"ref": "danielkaijzer/cmi-submission-0-424", "kernel_id": "72806408"}, {"ref": "aktubilen/begining", "kernel_id": "72132042"}, {"ref": "vtmthu/tabnet-tabtransformer", "kernel_id": "72489216"}, {"ref": "cgdd2511/childmindinstitute", "kernel_id": "72667530"}, {"ref": "tranvanthan/lb-494-multi-model-feature-importance-analysis-tvt", "kernel_id": "72444511"}, {"ref": "tranquangtien/cmi-reproducible-results-fixseed-lgb-cpu-0-494", "kernel_id": "72495815"}, {"ref": "nguyenthanchidung/cmi-best-single-model", "kernel_id": "72969716"}, {"ref": "pochih518/12023test", "kernel_id": "72254034"}, {"ref": "anphmng/0-494-notebook", "kernel_id": "72255038"}, {"ref": "anphmng/v2-ds102", "kernel_id": "72033338"}, {"ref": "polymaharshipandya/dsa-507-final-project-notebook-2", "kernel_id": "72000590"}, {"ref": "shodaifuruya/lb-497-multi-model-feature-importance-analysis", "kernel_id": "72093595"}, {"ref": "hoangminh4uc/duc-model", "kernel_id": "72479954"}, {"ref": "thuminh04/tabnet-tabtransformer", "kernel_id": "72762031"}, {"ref": "thuminh04/ver2-tab-transformer", "kernel_id": "72711792"}, {"ref": "thuminh04/tab-transformer", "kernel_id": "72670130"}, {"ref": "thuminh04/lb0-494-with-tabnet-5d9153", "kernel_id": "72546217"}, {"ref": "yoshikazutaka/dbsc-pytorch", "kernel_id": "72015917"}, {"ref": "bigwaterc/bigwaterc-cmi-merge", "kernel_id": "72321474"}, {"ref": "andychen09230/cmi-problematic-internet-use-eda-modeling", "kernel_id": "72734614"}, {"ref": "nusratjahanlia/kprototypes-clustering", "kernel_id": "72980024"}, {"ref": "sunshan11/lb0-494-with-tabnet", "kernel_id": "72450270"}, {"ref": "sunshan11/lb-0-483", "kernel_id": "72102478"}, {"ref": "leedeyan/team53", "kernel_id": "72852236"}, {"ref": "kleedg/cmi-piu-lee-dong-gi", "kernel_id": "72285406"}, {"ref": "victorkuanglhu/fork-of-cmi-single-model", "kernel_id": "72833963"}, {"ref": "victorkuanglhu/single-model-by-victor-kuang", "kernel_id": "72903373"}, {"ref": "utsavchangani/new-approach", "kernel_id": "72212230"}, {"ref": "dhrishtihazari/probinternetkids", "kernel_id": "72141115"}, {"ref": "cedrusdang/child-mind-institute-nn-model-full-data", "kernel_id": "72186755"}, {"ref": "trngnguynngcminh/0-494-notebook-v34", "kernel_id": "72454634"}, {"ref": "dimitrisvatousis/cmi-cnn", "kernel_id": "72512781"}, {"ref": "hoanglol9x/notebook704b41005e", "kernel_id": "72180792"}, {"ref": "hoanglol9x/notebook704b41005e-9bc5ce", "kernel_id": "72507467"}, {"ref": "adea1r/ut-ece-final-submission", "kernel_id": "72729411"}, {"ref": "buihongquan/model-487v5", "kernel_id": "72939675"}, {"ref": "feliceanggiesirait/12s22006-neural-network", "kernel_id": "72227949"}, {"ref": "jorgerasconhuevo/notebook6801094ea0", "kernel_id": "72143348"}, {"ref": "lvhoangg2004/piu-somiho", "kernel_id": "72561887"}, {"ref": "lthnhdoanh/dmd-ver", "kernel_id": "72918373"}, {"ref": "htrnggiang/notebooka6332d5708", "kernel_id": "72023498"}, {"ref": "dungquang8229/4th-place-notebook", "kernel_id": "72662769"}, {"ref": "phancngdng/test-1", "kernel_id": "72972165"}, {"ref": "dotiendat22028240/cmi-notebookbcs-1", "kernel_id": "72792963"}, {"ref": "alfyrje/wheel-of-fortune", "kernel_id": "72513598"}, {"ref": "carlosmancillas99/notebook84905b571f", "kernel_id": "72359790"}, {"ref": "franciscodelcastillo/proyectointegracion", "kernel_id": "72069248"}, {"ref": "nguynquchi22028265/xgboost", "kernel_id": "72816677"}, {"ref": "heulwen19/12-11", "kernel_id": "72027486"}, {"ref": "nguyndebruyne/team-15", "kernel_id": "72668915"}, {"ref": "qwerty197/cmi-eda", "kernel_id": "72882966"}, {"ref": "tuananhtuoilol/model-no10", "kernel_id": "72225256"}, {"ref": "tuananhtuoilol/model-no9", "kernel_id": "72206726"}, {"ref": "tuananhtuoilol/cmi-pts", "kernel_id": "72828668"}, {"ref": "phamvanduy/notebook2809dcf3f2", "kernel_id": "72203804"}, {"ref": "phamvanduy/model-487v2", "kernel_id": "72289251"}, {"ref": "phamvanduy/notebookfc1cd9d51e", "kernel_id": "72828333"}, {"ref": "vanh161/chill-team", "kernel_id": "72849255"}, {"ref": "vanh161/aad-team", "kernel_id": "72987625"}, {"ref": "nguyncpht/model-cmp", "kernel_id": "72489229"}, {"ref": "linhdanh/reprodure-with-gumbel", "kernel_id": "72539580"}, {"ref": "linhdanh/handle-imputer", "kernel_id": "72899328"}, {"ref": "dc0206/voting5classifiers", "kernel_id": "72873323"}, {"ref": "dc0206/repeatedkfold-voting-ensemble-voting-voting", "kernel_id": "72830543"}, {"ref": "sleepytuna/only-gb-ver1", "kernel_id": "72238850"}, {"ref": "lionytamaralewinsk/12s22019-liony-tamara-lewinsky", "kernel_id": "72307398"}, {"ref": "adetresia/beatrice-p09", "kernel_id": "72323584"}, {"ref": "zhannasargsyan/friday-13", "kernel_id": "72440803"}, {"ref": "rsakata/cmi-piu-16th-place-solution", "kernel_id": "73313453"}, {"ref": "kumarandatascientist/cmi-ensemble-combined-view-and-eda", "kernel_id": "73200902"}, {"ref": "kumarandatascientist/cmi-hybrid-regression-with-ml-model-metrics-v1", "kernel_id": "73266225"}, {"ref": "shiyili/cmi-piu-deeptables-nn-cv-0-482", "kernel_id": "73253348"}, {"ref": "notalulu/regression", "kernel_id": "73401672"}, {"ref": "notalulu/classifier", "kernel_id": "73218353"}, {"ref": "tobimichigan/child-mind-internet-use-ml-algorithm", "kernel_id": "73055729"}, {"ref": "pegasus27/cmi-pi-lightgbm-deep-auto-encoder-submission", "kernel_id": "73258215"}, {"ref": "pegasus27/solution-lightgbm-deepautoencoder", "kernel_id": "73368864"}, {"ref": "takanashihumbert/cmi-address-missing", "kernel_id": "73016999"}, {"ref": "nomorevotch/cmi-pipeline", "kernel_id": "73729910"}, {"ref": "hideyukizushi/cmi-base-500-xgb-dart-finalday-v3", "kernel_id": "73269572"}, {"ref": "jeffersonrafael/lb-497-multi-model-jefferson-rafael", "kernel_id": "73176200"}, {"ref": "yeoyunsianggeremie/pb-0-466-single-multiseed-catboost-with-6-feats", "kernel_id": "73297594"}, {"ref": "mstsvgram/lgbm-for-regression-and-logistic-regression", "kernel_id": "73178742"}, {"ref": "jobayerhossain/child-mind-piu-3rd-place-solution", "kernel_id": "73317230"}, {"ref": "ottttt/cmi-othsueh", "kernel_id": "73460003"}, {"ref": "lennarthaupts/1st-place-cmi-model-v4-1-1", "kernel_id": "73094393"}, {"ref": "ravi20076/cmi2024-final-candidate1", "kernel_id": "73130227"}, {"ref": "ravi20076/cmi2024-final-candidate2", "kernel_id": "73132507"}, {"ref": "mdriadulislam/data-science-project-on-child-mind-institute", "kernel_id": "73438221"}, {"ref": "engadamalmohammedi/1st-place-cmi-model-v4-1-1-reduced", "kernel_id": "73960030"}, {"ref": "junpeimorioka/10th-place-5-features-hierarchical-bayes", "kernel_id": "73371154"}, {"ref": "zineelabidine52/eda-synthesis", "kernel_id": "73563905"}, {"ref": "yunsuxiaozi/2024-cmi-yunbase", "kernel_id": "73270751"}, {"ref": "quannguyn12/0-463-private", "kernel_id": "73435630"}, {"ref": "dung8204/final", "kernel_id": "73271014"}, {"ref": "razvanmihaihanghicel/predicting-problematic-internet-use-with-xgboost", "kernel_id": "73367337"}, {"ref": "thoquang12345/notebook73ff826f50", "kernel_id": "73283695"}, {"ref": "qamarmath/activity-based-internet-use-insights-qwk-0-457", "kernel_id": "73569732"}, {"ref": "qamarmath/handling-overfitting-val-qwk-0-457-test-qwk-0-463", "kernel_id": "73538118"}, {"ref": "qamarmath/handling-overfitting-val-qwk-0-457-test-qwk0-463", "kernel_id": "73539838"}, {"ref": "bruno55/cmi-feature-space", "kernel_id": "73230233"}, {"ref": "oiaslly/pb0-462-top-1-solution-with-solely-lgbm", "kernel_id": "73320613"}, {"ref": "dangthi/machinelearninguet", "kernel_id": "73855456"}, {"ref": "dangthi/machine-learning-uet", "kernel_id": "73654317"}, {"ref": "eunjungham/model", "kernel_id": "73424833"}, {"ref": "betapcode/b-n-official-report", "kernel_id": "73297567"}, {"ref": "c0ldzy/easy-silver-1-xgboost-no-tracker-data", "kernel_id": "73319392"}, {"ref": "hovuan/cmi-tuning-ensemble-of-solutions-cd0c0c", "kernel_id": "73003885"}, {"ref": "k14herine/multi-model-feature-importance-analysis", "kernel_id": "73215352"}, {"ref": "k14herine/child-mind-institute-problematic-internet", "kernel_id": "73553096"}, {"ref": "fabienpv/feature-engineering-actigraphy-submission-failed", "kernel_id": "73270566"}, {"ref": "phuong1315/notebook8829e46cbe", "kernel_id": "73249723"}, {"ref": "nguynvngip/lb-497-multi-model-feature-importance-analysis", "kernel_id": "73314123"}, {"ref": "tranthaiduong123/ver-3-1", "kernel_id": "73276887"}, {"ref": "tranthaiduong123/ver-3-0", "kernel_id": "73259372"}, {"ref": "vinhza2407/notebookcd3b630b1e", "kernel_id": "73275736"}, {"ref": "nguyenbach32/btl-hm", "kernel_id": "73382647"}, {"ref": "nguyensytan/cmi123", "kernel_id": "73039195"}, {"ref": "nguyensytan/approach1-classifier", "kernel_id": "73373602"}, {"ref": "dang2608/cmi-piu-features-eda", "kernel_id": "73017005"}, {"ref": "ngohaianh/tabnet-saint", "kernel_id": "73200372"}, {"ref": "mihongqu/21521147-cmi-pts", "kernel_id": "73212354"}, {"ref": "mihongqu/lb-497-multi-model-feature-importance-analysis", "kernel_id": "73153222"}, {"ref": "mihongqu/multi-model-analysis", "kernel_id": "73614738"}, {"ref": "trngthnhnh/updatefttransformer", "kernel_id": "73228508"}, {"ref": "chihoangf/model", "kernel_id": "73405854"}, {"ref": "chihoangf/data1", "kernel_id": "73408301"}, {"ref": "tnglmng/notebookbfec5ffe22", "kernel_id": "73415730"}, {"ref": "qiaoyingzhang/child-problematic-internet-use-ensemble-models", "kernel_id": "73066221"}, {"ref": "anizme/end-pipeline-2", "kernel_id": "73192989"}, {"ref": "nvnhat04/final-ml-58", "kernel_id": "73413406"}, {"ref": "praneethmariyalaa/notebook2c99284f9b", "kernel_id": "73187647"}, {"ref": "quyuet/child-mind-institute-problematic-internet-use", "kernel_id": "73163716"}, {"ref": "yuchoww/child-mind-institute-v3", "kernel_id": "73393353"}, {"ref": "zzzlazy/lb-497-multi-model-feature-importance-analysis", "kernel_id": "73245367"}, {"ref": "xiaoling98899/my-pure-ml-0-492-combined", "kernel_id": "73009489"}, {"ref": "hnganh0084trng/3-cmi-end-to-end", "kernel_id": "73094350"}, {"ref": "kaasw1/optimize", "kernel_id": "73015378"}, {"ref": "sontrans/my-note", "kernel_id": "73223099"}, {"ref": "trcnveli/cmi-score-465-solution-without-parquet", "kernel_id": "73297309"}, {"ref": "trcnveli/1dcnn-cmi", "kernel_id": "73227743"}, {"ref": "quang0150/post-ml", "kernel_id": "73379341"}, {"ref": "nguynnhtquangg/approach1-classifier", "kernel_id": "73383143"}, {"ref": "hunggg123/data-preprocessing", "kernel_id": "73124655"}, {"ref": "khangonvhu/0-494-notebook", "kernel_id": "73186472"}, {"ref": "beatafaron/simple-ensemble-step-by-step", "kernel_id": "73208052"}, {"ref": "beatafaron/ciu-simple-pipeline-tresholds", "kernel_id": "73163046"}, {"ref": "tuanjhg/cmi-piu-nkwon-4", "kernel_id": "73303281"}, {"ref": "minhduonq/btlhocmay2", "kernel_id": "73430505"}, {"ref": "davidwu20031023/notebooka25e49190d", "kernel_id": "73386513"}, {"ref": "davidwu20031023/notebook-test", "kernel_id": "73389610"}, {"ref": "jinsaa/cmi-dannygod", "kernel_id": "73486217"}, {"ref": "phannguynquccng/cmi-notebookbcs-1", "kernel_id": "73325343"}, {"ref": "maritamovsisyan/lb-494-multi-model-feature-importance-analy-c5ee5b", "kernel_id": "73230481"}, {"ref": "hozngvan/final-problematic-internet-use-3huiter", "kernel_id": "73332838"}, {"ref": "yousefkhalil0/child-mind-institute-problematic-internet-use", "kernel_id": "73387221"}, {"ref": "damcuong/eda-nhom-dca", "kernel_id": "73358953"}, {"ref": "hoantainson/lb0-494-with-tabnet-ds102", "kernel_id": "73295508"}, {"ref": "georgiiromanov/child-mind-final", "kernel_id": "73180014"}, {"ref": "thnvphi/cmi-issues-with-the-metric-and-baseline-7409a6", "kernel_id": "73214054"}, {"ref": "ninnggg/notebook9df80f269b", "kernel_id": "73461641"}, {"ref": "trnvchuy/fork-of-b-n-r-t-g-n", "kernel_id": "73300487"}, {"ref": "aceus2807/cmi-tuning-ensemble-of-solutions", "kernel_id": "73250760"}, {"ref": "nusratjahanlia/knn-clustering", "kernel_id": "73253287"}, {"ref": "nusratjahanlia/xgboost", "kernel_id": "73831885"}, {"ref": "goatyogurt/cmi-histgradientboostingregressor", "kernel_id": "73227792"}, {"ref": "duruu841/scaling-dropna", "kernel_id": "73065174"}, {"ref": "soookolova22/notebook373cbb990a", "kernel_id": "73316452"}, {"ref": "dimitrisvatousis/cmi-problematic-internet-use-competition-code", "kernel_id": "73341273"}, {"ref": "nguynvithngdz/final-version-2", "kernel_id": "73222069"}, {"ref": "a22028301/team-22", "kernel_id": "73351425"}, {"ref": "ocean7ran/team-7-temp", "kernel_id": "73194982"}, {"ref": "lthnhdoanh/dmd-ver-2", "kernel_id": "73161704"}, {"ref": "tranductamhoctap/team-aplus", "kernel_id": "73337481"}, {"ref": "phancngdng/notebook3bedd9733d", "kernel_id": "73293477"}, {"ref": "alfyrje/forkoffork-of-3-submissions", "kernel_id": "73268732"}, {"ref": "pathetic384/saint-n-tabnet", "kernel_id": "73165995"}, {"ref": "cuongdngmah/ml-test", "kernel_id": "73018611"}, {"ref": "manhld2004/cmi-piu-nhom11", "kernel_id": "73242527"}, {"ref": "qwerty197/cmi-tuning-ensemble-of-solutions-ts-features", "kernel_id": "73261612"}, {"ref": "linhdanh/cmi-sleep-detection", "kernel_id": "73209767"}, {"ref": "linhdanh/machine-learning", "kernel_id": "73294884"}, {"ref": "m00nw1zard/notebookc9d2725842", "kernel_id": "73983547"}, {"ref": "m00nw1zard/notebook8c8b8bf6e9", "kernel_id": "73196101"}, {"ref": "m00nw1zard/notebook39e2854eaf", "kernel_id": "73281636"}, {"ref": "nguyencaoducminh27/child-problematic-internet-randomforest", "kernel_id": "73297290"}, {"ref": "hungmnk/test-model-da25a8", "kernel_id": "73182840"}, {"ref": "viethoang030927/ml-uet", "kernel_id": "73868409"}, {"ref": "modesty520/child-mind-eda", "kernel_id": "74782821"}, {"ref": "nishitskunder/child-mind-institute-lightgbm", "kernel_id": "74619428"}, {"ref": "dastex/cmi-piu-cw", "kernel_id": "74515289"}, {"ref": "nguyenthanhannn/ml-final-project", "kernel_id": "74099371"}, {"ref": "peymanarmaghan/cmi-5th-place-solution-pipeline", "kernel_id": "74004216"}, {"ref": "peymanarmaghan/cmi-5th-place-solution", "kernel_id": "74110268"}, {"ref": "asimkbaloch/asim-notebook", "kernel_id": "74783514"}, {"ref": "dattran0509/dattran-manhphuc-late-submit", "kernel_id": "74532340"}, {"ref": "aravindsarath/model-3-final", "kernel_id": "74387595"}, {"ref": "anacpricciardi/eda-problematic-internet", "kernel_id": "74826808"}, {"ref": "nguynanhvdct122c4/notseason", "kernel_id": "74004920"}, {"ref": "nguynanhvdct122c4/fullfeature", "kernel_id": "74397294"}, {"ref": "dtleez/fullfeatures", "kernel_id": "74851623"}, {"ref": "phucnguyentran1502/using-loss-function", "kernel_id": "74385704"}, {"ref": "phucnguyentran1502/using-vote-function", "kernel_id": "74385858"}, {"ref": "phucnguyentran1502/using-loss-fuction", "kernel_id": "74394760"}, {"ref": "phucnguyentran1502/using-log", "kernel_id": "74307125"}, {"ref": "sndrbrst/xgboost-weightedclasses", "kernel_id": "74463947"}, {"ref": "sndrbrst/randomforesttry2-mit-smote", "kernel_id": "74457308"}, {"ref": "sndrbrst/balancedrandomforestclassifier", "kernel_id": "74461556"}, {"ref": "sndrbrst/randomforest", "kernel_id": "74414505"}, {"ref": "buiphongthu/cmi-piu-1", "kernel_id": "74207173"}, {"ref": "m00nw1zard/int3405", "kernel_id": "74026539"}, {"ref": "bibquyn/three-model-no-tracker-data", "kernel_id": "74070182"}, {"ref": "bivduyhng/machinelearningfinal", "kernel_id": "74154410"}, {"ref": "aaditshukla/1st-place-cmi-model-v4-1-1-reduced", "kernel_id": "75439316"}, {"ref": "linhlnguynthy/final-report", "kernel_id": "75126181"}, {"ref": "nguynlbnh/cs116-final-report", "kernel_id": "75187666"}, {"ref": "nicholas33/child-mind-institute-kmeans-nb153", "kernel_id": "75808293"}, {"ref": "nicholas33/child-mind-institute-nab153", "kernel_id": "75567388"}, {"ref": "sealeopard/eda-finale", "kernel_id": "75054852"}, {"ref": "lindseyanneyu926/cmi-piu", "kernel_id": "75716477"}, {"ref": "antobenedetti/lire-des-gros-dataframes-avec-polars-lazy", "kernel_id": "76387095"}, {"ref": "maiaann/cmi-problematic-internet-use-pca-rf", "kernel_id": "76800498"}, {"ref": "louisseillier/model-resnet", "kernel_id": "77118365"}, {"ref": "louisseillier/model-cnn", "kernel_id": "77109843"}, {"ref": "hiunguynhongdct122c4/kappametrics2", "kernel_id": "78028889"}, {"ref": "zicolez/sc4000-lbgm-testing-adjust", "kernel_id": "79475131"}, {"ref": "zicolez/cmi-3-34-18-18", "kernel_id": "79147567"}, {"ref": "saschalscher/internet-addiction-test-notebook", "kernel_id": "79431009"}, {"ref": "oldduan/problematic-internet-use", "kernel_id": "79139185"}, {"ref": "liangruizhangdreamer/sc4000-lbgm-testing", "kernel_id": "79414690"}, {"ref": "abhinavsharma0706/cmi-model", "kernel_id": "80579341"}, {"ref": "mohamedet/child-mind-institute-problematic-internet-use-1-0", "kernel_id": "80534714"}, {"ref": "attharvshrivastav/project-2", "kernel_id": "80422511"}, {"ref": "nguynanhvdct122c4/notseasonbl", "kernel_id": "80563689"}, {"ref": "nguynanhvdct122c4/blcsv", "kernel_id": "80231110"}, {"ref": "dtleez/height-weight-processed", "kernel_id": "80657752"}, {"ref": "hiunguynhongdct122c4/timeseries-votingclassifier", "kernel_id": "81970772"}, {"ref": "nguynanhvdct122c4/optunahp100trialhpextendmodel", "kernel_id": "81098707"}, {"ref": "kayleebronson/cs433-final-project", "kernel_id": "81932067"}, {"ref": "kayleebronson/child-mind-institute-problematic-internet-use-1-0", "kernel_id": "81790664"}, {"ref": "tkaib4/internet-cmi", "kernel_id": "81489140"}, {"ref": "tkaib4/notebook595fab829e", "kernel_id": "81499449"}, {"ref": "alessioginelli/progettodwm", "kernel_id": "82184762"}, {"ref": "davidwu20031023/ai-project", "kernel_id": "83750928"}, {"ref": "nguynanhvdct122c4/actigraphybase", "kernel_id": "83475827"}, {"ref": "dtleez/newparameter-nckhnotpciat", "kernel_id": "83500037"}, {"ref": "dtleez/nckh-1-trung", "kernel_id": "83636403"}, {"ref": "ralphsitinh/h-h-he", "kernel_id": "83949003"}, {"ref": "pizzox/child-mind-notebook", "kernel_id": "83443918"}, {"ref": "docxian/ps-s5-e06-fertilizer-prediction", "kernel_id": "84129435"}, {"ref": "davidwu20031023/ai-2-project", "kernel_id": "84268347"}, {"ref": "joeychay/cmi-ml", "kernel_id": "84772827"}, {"ref": "ralphsitinh/zzzzzzzzzzzzzzzzzzzzzzzzz", "kernel_id": "84830442"}, {"ref": "abdullahaliabdullah/the-game-master", "kernel_id": "85801781"}, {"ref": "tomragus/cmi-personal-internet-use-classification-model", "kernel_id": "86371281"}, {"ref": "subho45/notebook6fe97cbd80", "kernel_id": "86033494"}, {"ref": "quynhanh2004/cmi2024-final-candidate2", "kernel_id": "87057586"}, {"ref": "tommasofacchin/data-and-web-mining-project", "kernel_id": "88172884"}, {"ref": "daniyalatta/target-achieve-0-86-inshaallah", "kernel_id": "90139509"}, {"ref": "davidecasarin345/dwm-project", "kernel_id": "91490277"}, {"ref": "shresthp/lb0-494-with-tabnet", "kernel_id": "92637052"}, {"ref": "vpmx555/dbm-capstone", "kernel_id": "95134488"}, {"ref": "qamarmath/fork-of-handling-overfitting-val-qwk-0-457-4c34cf", "kernel_id": "100510489"}, {"ref": "stantheman0128/stan-random-forest", "kernel_id": "104957657"}, {"ref": "angushark/notebook4687351ee8", "kernel_id": "104941318"}, {"ref": "g21g41257021o/notebook8798a9ef61", "kernel_id": "105054143"}, {"ref": "taimour/rp-problematic-internet-usage", "kernel_id": "109659114"}, {"ref": "h94612a76/lgbmregressor-nelder-mead", "kernel_id": "109418174"}, {"ref": "faysal06/child-mind-institute", "kernel_id": "115870564"}, {"ref": "huypahm/cmi-piu", "kernel_id": "116711866"}, {"ref": "alfredbartholomew/piu-lifestyle-archetypes", "kernel_id": "127318625"}, {"ref": "mohamedrajab/notebookdc107dce7e", "kernel_id": "130833080"}]}
{"competition_id": "81961", "kernels": []}
{"competition_id": "81971", "kernels": [{"ref": "eishkaran/shortest-code", "kernel_id": "47358184"}, {"ref": "yogitag185/tiet-v3", "kernel_id": "60766378"}, {"ref": "yogitag185/tiet-24-06-24", "kernel_id": "60766838"}, {"ref": "harshitakhandoli24/submission-file", "kernel_id": "60856774"}, {"ref": "nupurpusha/thapar-summer-school-1-1", "kernel_id": "60805152"}, {"ref": "nupurpusha/thapar-summer-school-1", "kernel_id": "60814100"}, {"ref": "nupurpusha/thapar-summer-school", "kernel_id": "60766692"}, {"ref": "tejaypardeep/notebooke112632480", "kernel_id": "60766835"}, {"ref": "aneeshgrover/thapar-summer-school", "kernel_id": "60766978"}, {"ref": "ananyasoi/notebook11", "kernel_id": "60766276"}, {"ref": "harsimransinghdalal/byte-me", "kernel_id": "60852890"}, {"ref": "sirat98/kaggle2", "kernel_id": "60800436"}, {"ref": "ishagarg1021/d1-submission1", "kernel_id": "60836176"}]}
{"competition_id": "81984", "kernels": []}
{"competition_id": "82019", "kernels": [{"ref": "diyabaghla/competition2", "kernel_id": "60840330"}, {"ref": "yogitag185/tiet-c-2-v1", "kernel_id": "60840507"}, {"ref": "yogitag185/tiet-c-2-v2", "kernel_id": "60874356"}, {"ref": "yogitag185/tiet-c-2-v3", "kernel_id": "60876551"}, {"ref": "yogitag185/tiet-c-2-v4", "kernel_id": "60879805"}, {"ref": "yogitag185/tiet-c-2-v5", "kernel_id": "60882921"}, {"ref": "nupurpusha/thapar-summer-school-competition-2", "kernel_id": "60836459"}, {"ref": "aneeshgrover/thapar-summer-school-competition-2", "kernel_id": "60874873"}, {"ref": "yashikajindal/obesity-submission", "kernel_id": "60840477"}, {"ref": "harsimransinghdalal/factors-to-predict-disease-risk-in-individuals", "kernel_id": "60898549"}]}
{"competition_id": "82034", "kernels": [{"ref": "lauraezinnel/pca-starter-notebook", "kernel_id": "61842308"}, {"ref": "vegansam/sam-good-pca", "kernel_id": "62595568"}, {"ref": "d4yingw/lab13-yingw", "kernel_id": "62651236"}, {"ref": "grettabuttelmann/lab14-pca-buttelmanngretta", "kernel_id": "62553409"}, {"ref": "tomyoungisu/pca-young", "kernel_id": "63374177"}, {"ref": "katherinekjeer/lab14-kjeer-katherine", "kernel_id": "63049033"}, {"ref": "alanchristophermoore/pca-starter-notebook", "kernel_id": "88086117"}, {"ref": "amandaquarshie/lab14-pca-quarshie-amanda-notebook", "kernel_id": "88354753"}]}
{"competition_id": "82039", "kernels": []}
{"competition_id": "82049", "kernels": []}
{"competition_id": "82050", "kernels": []}
{"competition_id": "82051", "kernels": []}
{"competition_id": "82063", "kernels": []}
{"competition_id": "82069", "kernels": []}
{"competition_id": "82071", "kernels": []}
{"competition_id": "82076", "kernels": []}
{"competition_id": "82077", "kernels": []}
{"competition_id": "82103", "kernels": [{"ref": "ashmitcajla/binary-classification-using-lgbm", "kernel_id": "60896016"}, {"ref": "yogitag185/tiet-c-3-v4", "kernel_id": "60983426"}, {"ref": "yogitag185/tiet-c-3-v6", "kernel_id": "60986757"}, {"ref": "yogitag185/tiet-c-3-v5", "kernel_id": "60986061"}, {"ref": "yogitag185/tiet-c-3-v3", "kernel_id": "60977406"}, {"ref": "yogitag185/tiet-c-3-v2", "kernel_id": "60927253"}, {"ref": "yogitag185/tiet-3-v1", "kernel_id": "60927284"}, {"ref": "nupurpusha/binary-classification-1", "kernel_id": "60920941"}, {"ref": "aneeshgrover/binary-classification-tss24-competition-3", "kernel_id": "60925663"}, {"ref": "harsimransinghdalal/binary-classification", "kernel_id": "60930805"}]}
{"competition_id": "82138", "kernels": []}
{"competition_id": "82149", "kernels": [{"ref": "eishkaran/automl-practice", "kernel_id": "60987412"}, {"ref": "eishkaran/basic-linear-regression", "kernel_id": "60987038"}, {"ref": "diyabaghla/comp4", "kernel_id": "61018688"}, {"ref": "nupurpusha/basic-regression", "kernel_id": "61039806"}, {"ref": "nupurpusha/regression-competition", "kernel_id": "61044971"}, {"ref": "aneeshgrover/basic-regression-tss24-competition-4", "kernel_id": "61061297"}, {"ref": "devanjalipatel/nb-1-competition4", "kernel_id": "61021933"}, {"ref": "harsimransinghdalal/basic-regression", "kernel_id": "61019335"}, {"ref": "devanjalipatel/updated", "kernel_id": "67549109"}]}
{"competition_id": "82170", "kernels": []}
{"competition_id": "82250", "kernels": [{"ref": "metin2/stockfish-wdl-model", "kernel_id": "73545409"}, {"ref": "gabrielothvio/notebookf665e6509c", "kernel_id": "75211621"}]}
{"competition_id": "82252", "kernels": []}
{"competition_id": "82253", "kernels": [{"ref": "insanesrikar/f1-analysis", "kernel_id": "61164566"}, {"ref": "utsavsachdeva/okokok0k", "kernel_id": "61110438"}, {"ref": "uppulurimadhuri/feature-engineering-lgbm-regressor-f1-hackathon", "kernel_id": "61116339"}, {"ref": "kiransaireddy/f1nalyze-formula-1", "kernel_id": "61136351"}, {"ref": "waitasecant/f1nalize", "kernel_id": "61156702"}, {"ref": "akshitep/notebook4b1019c5e4", "kernel_id": "61148578"}, {"ref": "asengupta07/finalyze", "kernel_id": "61120148"}, {"ref": "sanandml/datathone-workflow", "kernel_id": "61110534"}, {"ref": "tsp1718/source-code", "kernel_id": "61186508"}, {"ref": "krishsharma0413/notebook59c5281b72", "kernel_id": "61187787"}, {"ref": "notbobmarley/notebook520d27abfa", "kernel_id": "61188238"}, {"ref": "vaibhavbajaj113/f1analyze", "kernel_id": "61109624"}, {"ref": "aabisnaqvi/notebook4b1019c5e4", "kernel_id": "61119139"}, {"ref": "namankumar78/winner-notebook", "kernel_id": "61129435"}, {"ref": "dilekankaya/f1nalyze-formula-1", "kernel_id": "62828981"}]}
{"competition_id": "82255", "kernels": []}
{"competition_id": "82308", "kernels": []}
{"competition_id": "82334", "kernels": []}
{"competition_id": "82358", "kernels": [{"ref": "zhiguozeng/demo-data-challenge-season2024-ipynb", "kernel_id": "61348354"}, {"ref": "zhiguozeng/demo-devel-mdl-for-motor-6-ipynb", "kernel_id": "61443958"}, {"ref": "zhiguozeng/demo-feature-engineering-ipynb", "kernel_id": "61505788"}]}
{"competition_id": "82364", "kernels": [{"ref": "saibabu1/final-project", "kernel_id": "61443529"}, {"ref": "harshaakul/final-project", "kernel_id": "61445064"}, {"ref": "botlavamsikrishna/notebookd0b6f5ff7e", "kernel_id": "61443743"}, {"ref": "kumaravankayala/final-project-satish-javeed-irfan", "kernel_id": "61448442"}, {"ref": "javeedshaik1221/final-project-satish-javeed-irfan", "kernel_id": "61446979"}, {"ref": "roshik666/final-project-dsc-783", "kernel_id": "61443507"}, {"ref": "minnip/mlp-classification-for-streaming-subscription", "kernel_id": "61443535"}, {"ref": "minnip/mlp-classification-final-project", "kernel_id": "61446564"}, {"ref": "irfanmohammad2001/final-project-satish-javeed-irfan", "kernel_id": "61450533"}, {"ref": "ethanjychen/streaming-churn-rate", "kernel_id": "62916170"}, {"ref": "raghunandan9605/streaming-subscription-churn-model", "kernel_id": "69833823"}, {"ref": "ilhanseyhan/smartchurn-customer-churn-prediction", "kernel_id": "86936608"}]}
{"competition_id": "82370", "kernels": [{"ref": "docxian/make-data-count-first-glance", "kernel_id": "84924254"}, {"ref": "ulrich07/mdc-pip", "kernel_id": "84910752"}, {"ref": "mibrahimmustafa/notebook-mdc", "kernel_id": "84928501"}, {"ref": "mpwolke/data-sharing-reuse-and-cite-it", "kernel_id": "84927517"}, {"ref": "rajathrpai/make-data-c0unt-v1-0", "kernel_id": "84954695"}, {"ref": "rajathrpai/make-data-c0unt-v2-0", "kernel_id": "84960692"}, {"ref": "rajathrpai/make-data-count-v3-0", "kernel_id": "84966778"}, {"ref": "karltonkxb/early-eda-xml-pdf-extraction-1st-submission", "kernel_id": "84923074"}, {"ref": "junhanzangai/make-wheel-pymupdf", "kernel_id": "84942779"}, {"ref": "junhanzangai/make-wheel-jsonlines", "kernel_id": "84951038"}, {"ref": "junhanzangai/make-data-count-solution-1-0", "kernel_id": "84950430"}, {"ref": "shohaanatoliy/introduce-a-not-a-citation", "kernel_id": "84982536"}, {"ref": "madhuraatmarambhagat/make-data-count-competition", "kernel_id": "84972281"}, {"ref": "zekaiyuf1sh/my-first-submission", "kernel_id": "84943467"}, {"ref": "aerdem4/mdc-search-llm-logits-processor-zoo", "kernel_id": "85185890"}, {"ref": "vaibhavameta/submission-1", "kernel_id": "85331627"}, {"ref": "tenffe/make-data-count-baseline", "kernel_id": "85190236"}, {"ref": "tenffe/mdc-eda-and-doi-re-matter", "kernel_id": "85832507"}, {"ref": "tenffe/make-data-count-eda-and-inference-once-baseline", "kernel_id": "85673611"}, {"ref": "cahein1371/notebook6af5c3fe32", "kernel_id": "85737903"}, {"ref": "ahsuna123/mention-impossible-doi-or-die-eda", "kernel_id": "85040019"}, {"ref": "yeoyunsianggeremie/mdc-fine-grained-eval", "kernel_id": "85086645"}, {"ref": "yeoyunsianggeremie/keyword-search-llm-baseline-cv-0-120-lb-0-105", "kernel_id": "85043540"}, {"ref": "vivekprajapati2048/mdc-qwen-3-vllm-baseline-notebook", "kernel_id": "85121494"}, {"ref": "vivekprajapati2048/mdc-data-citation-mining-beginner-s-eda", "kernel_id": "85053382"}, {"ref": "natsumiarai/hisui-s-eda", "kernel_id": "85265151"}, {"ref": "jocelyndumlao/qwen-3-mdc-data-references-extraction", "kernel_id": "85136314"}, {"ref": "jocelyndumlao/finding-data-references-with-xgboost", "kernel_id": "85082357"}, {"ref": "jocelyndumlao/mdc-reference-prediction", "kernel_id": "85195810"}, {"ref": "rajathrpai/make-data-c0unt-v4-0", "kernel_id": "85043404"}, {"ref": "msaifuddin/01-basic-eda", "kernel_id": "85760427"}, {"ref": "lordpatil/finding-classifying-data-references", "kernel_id": "85770550"}, {"ref": "gauthampnair/obesity-prediction-with-every-possible-algos", "kernel_id": "85358502"}, {"ref": "srinivasta/make-data-count-finding-data-references", "kernel_id": "85270549"}, {"ref": "chenmxfeng/new-basline-0-168-0-250", "kernel_id": "85724055"}, {"ref": "ducnh279/parse-pdfs-marker-is-all-you-need", "kernel_id": "85138763"}, {"ref": "abhinavsharma0706/mdc-finding-data", "kernel_id": "85188648"}, {"ref": "abhinavsharma0706/mdc-finding", "kernel_id": "85191538"}, {"ref": "kawchar85/improved-reference-truncation-search-llm-lpz", "kernel_id": "85289892"}, {"ref": "jaejohn/dataset-reference-validation", "kernel_id": "85312572"}, {"ref": "samarlasureshkumar/balancing-speed-and-f1-a-memory-safe-ensemble", "kernel_id": "85323711"}, {"ref": "gagandeep44489/make-data-count-byg", "kernel_id": "85319405"}, {"ref": "koushikkumardinda/make-data-count-finding-data-references", "kernel_id": "85072997"}, {"ref": "teresafitzgerald/make-data-count-baseline", "kernel_id": "85063184"}, {"ref": "qifeihhh666/easy-start-allprimary", "kernel_id": "85179050"}, {"ref": "donyaben/data-count-finding-references-v-1-0", "kernel_id": "85060680"}, {"ref": "kr868867/make-data-count-public-eda-understanding", "kernel_id": "85783806"}, {"ref": "danielgallardogmez/ml-rf-ref-extraction-classf", "kernel_id": "85866694"}, {"ref": "vladislavlassa/mdc-papers-clustering-with-scibert", "kernel_id": "85893414"}, {"ref": "raitwo/012-mdc-lib-v1", "kernel_id": "85877089"}, {"ref": "javierrodrguez97/mdc-search-llm-logits-processor-zoo-javier", "kernel_id": "85498916"}, {"ref": "javierrodrguez97/early-eda-xml-pdf-extraction-javier", "kernel_id": "85500626"}, {"ref": "gopikrishnan2005/eda1-for-make-data-count", "kernel_id": "85205333"}, {"ref": "pedrogentil/markerpdf-setup-for-offline-usage", "kernel_id": "85562416"}, {"ref": "shresthml/mdc-comp-kaggle", "kernel_id": "85815712"}, {"ref": "vbookshelf/using-the-gemini-api-to-extract-data-references", "kernel_id": "86131684"}, {"ref": "crischir/gemma-3-1b-fewshoot-test", "kernel_id": "86507398"}, {"ref": "crischir/mdc-gemma3-4b", "kernel_id": "86917361"}, {"ref": "tenffe/mdc-baseline-with-inference-once-and-qwen3", "kernel_id": "86071906"}, {"ref": "mahmudds/make-data-count-finding-data-references", "kernel_id": "86698810"}, {"ref": "sinchir0/mdc-1-page-eda", "kernel_id": "86634525"}, {"ref": "gabrielfcarvalho/eda-makedatacount", "kernel_id": "86821039"}, {"ref": "rajathrpai/makedatacount-starter", "kernel_id": "86891695"}, {"ref": "saouza007/want-to-be-improve", "kernel_id": "86043136"}, {"ref": "saouza007/new-baseline-for-llm", "kernel_id": "86660455"}, {"ref": "guhenriquetorres/mdc-gt", "kernel_id": "86657968"}, {"ref": "reidnersantos/eda-mcd", "kernel_id": "86818463"}, {"ref": "kawchar85/lb-0-289-improved-basline-prompt-engineering", "kernel_id": "86028182"}, {"ref": "marquis03/lb-0-261-mdc-qwen3-baseline", "kernel_id": "86627368"}, {"ref": "jackpudding/new-metrics-lb-0-462-keyword-extraction", "kernel_id": "86530488"}, {"ref": "anhhkhoi/lb-0-365", "kernel_id": "86107998"}, {"ref": "ayeshanusrat/notebookcc7aaf7c59", "kernel_id": "86647078"}, {"ref": "muneeramahjabeen/make-data-count-hack-sub-2", "kernel_id": "86346680"}, {"ref": "mccocoful/notebook2d0b45c244", "kernel_id": "86479816"}, {"ref": "samasiayushman/complete-visulalization", "kernel_id": "86056101"}, {"ref": "zerobyzeroe/fdr25-llm-baseline", "kernel_id": "86387181"}, {"ref": "andyaraihan/citation-classification", "kernel_id": "86436894"}, {"ref": "subhasish52/make-data-count", "kernel_id": "86878451"}, {"ref": "kurisew/fdr25-llm-baseline", "kernel_id": "86344889"}, {"ref": "avipsavinandita/hybrid-rule-based-distilbert-powered-data-citati", "kernel_id": "86877162"}, {"ref": "rustns/eda-mdc", "kernel_id": "86821296"}, {"ref": "roxanax/end-to-end-pipeline-dataset-mention-detection", "kernel_id": "86298416"}, {"ref": "roxanax/dataset-mentions-in-scientific-xml", "kernel_id": "86340626"}, {"ref": "roxanax/detecting-data-mentions-in-scientific-articles", "kernel_id": "86343177"}, {"ref": "nektonekks/main-pipeline", "kernel_id": "86799800"}, {"ref": "seidmehammed/notebook7fcb9673c2", "kernel_id": "86888808"}, {"ref": "dheerajkannaujiya/data-count", "kernel_id": "86624994"}, {"ref": "joquebedeoliveira/eda-ciia-v1-joquebede", "kernel_id": "86822217"}, {"ref": "victorpierobon/notebookcf75ed0e08", "kernel_id": "86821307"}, {"ref": "mousumimurmu/make-data-count-bert-classifier", "kernel_id": "86991551"}, {"ref": "verracodeguacas/xml-inside-no-gpu", "kernel_id": "87431981"}, {"ref": "verracodeguacas/semantically-aware-mention-classification-stack", "kernel_id": "87802917"}, {"ref": "yerne39/llm-prompting-with-hybrid-contextual-filter", "kernel_id": "87842658"}, {"ref": "tenffe/mdc-the-analysis-of-error-predicted-label", "kernel_id": "87249407"}, {"ref": "tenffe/mdc-comment-the-no-gpu-code", "kernel_id": "87753186"}, {"ref": "aadishagrawal/eda-makedatacount", "kernel_id": "87241091"}, {"ref": "sprasads/eda-understanding-make-data-count-dataset-xml-pdf", "kernel_id": "87203018"}, {"ref": "kawchar85/lb-0-548-fork-of-fork-of-fork-of-fork-of", "kernel_id": "87868356"}, {"ref": "mccocoful/fork-of-notebooke04a14364a", "kernel_id": "87037652"}, {"ref": "mccocoful/notebook8cf34f9247", "kernel_id": "87337965"}, {"ref": "jimgile/mdc-fine-tune-eval-kaggle", "kernel_id": "87377940"}, {"ref": "jimgile/mdc-fine-tune-train-kaggle", "kernel_id": "87236008"}, {"ref": "krishnayadav456wrsty/scibert-xml-pipeline-mdc-citation-extractio", "kernel_id": "87243215"}, {"ref": "darksols/make-data-count-notebook", "kernel_id": "87544143"}, {"ref": "yusuketogashi/xml-inside-recall-boosted-v2-tips", "kernel_id": "87531849"}, {"ref": "yusuketogashi/add-the-fourth-essence-post-filter", "kernel_id": "87658096"}, {"ref": "yusuketogashi/add-the-fourth-essence-post-filter-v2", "kernel_id": "87742931"}, {"ref": "joquebedeoliveira/eda-insights-datatrace-citation-extractor-v", "kernel_id": "87863963"}, {"ref": "abhinavchhabra090/makedatacount", "kernel_id": "87115459"}, {"ref": "mahakadhim/make-data-count-classification2", "kernel_id": "87432058"}, {"ref": "mahakadhim/make-data-count-classification", "kernel_id": "87428775"}, {"ref": "lanterndd/fork-of-notebooke04a14364a", "kernel_id": "87584878"}, {"ref": "pablodig/how-to-fine-tune-an-llm-with-unsloth-and-lora-mdc", "kernel_id": "88341155"}, {"ref": "cylik93/make-data-count-finding-data-references", "kernel_id": "88433310"}, {"ref": "betlbaak/make-data-count-hybrid-feature-ext-xgboost", "kernel_id": "88287682"}, {"ref": "aaryanagarwal/makedatacount-v2", "kernel_id": "88448458"}, {"ref": "vinodsb/notebookbb7b197257", "kernel_id": "88285210"}, {"ref": "stemosamaghandour/make-data-count-finding-data-references-by-geris", "kernel_id": "88075357"}, {"ref": "anshulprasad5440/make-data-count", "kernel_id": "88263141"}, {"ref": "nektonekks/doi-farmer", "kernel_id": "88175831"}, {"ref": "lovelivezx/lb-0-549-fork-of-lb-0-548", "kernel_id": "88814565"}, {"ref": "hiranorm/fork-of-semantically-aware-mention-classificatio", "kernel_id": "88930119"}, {"ref": "dheerajkannaujiya/dc-specialist-gaurd", "kernel_id": "88452680"}, {"ref": "lanterndd/notebooke20250730", "kernel_id": "88210764"}, {"ref": "deborshikash/prediction-class-88-accuracy", "kernel_id": "88132105"}, {"ref": "mengaidev/kaggle-data", "kernel_id": "88256891"}, {"ref": "jiweiliu/first-eda-with-pymupdf", "kernel_id": "89925700"}, {"ref": "crischir/mdc-lora-gemma", "kernel_id": "89882534"}, {"ref": "crischir/mda-concept-train-dataset", "kernel_id": "89234536"}, {"ref": "arc144/requirements", "kernel_id": "89771819"}, {"ref": "dedquoc/mdc-fdr-quick-submit-v2", "kernel_id": "89027751"}, {"ref": "minglv/hybrid-regex-llm-qwen-32b-high-score", "kernel_id": "89398323"}, {"ref": "reidnersantos/extra-o-via-orc", "kernel_id": "89058065"}, {"ref": "muhammadibrahim3093/lb-0-563-mdc-solution-v30-xml", "kernel_id": "89311085"}, {"ref": "vet231199/automate-searching-and-categorizing-data-in-pdfxml", "kernel_id": "89551028"}, {"ref": "shamiks/generalized-regex-qwen-2-5-32b-in-classification", "kernel_id": "89584224"}, {"ref": "shamiks/offline-inference-mistral-7b-generilized-regex", "kernel_id": "89576669"}, {"ref": "wkdrbwnd1/submission", "kernel_id": "89275812"}, {"ref": "wkdrbwnd1/notebookd174ede81a", "kernel_id": "89396210"}, {"ref": "wkdrbwnd1/submission2", "kernel_id": "89351387"}, {"ref": "wkdrbwnd1/notebookaed2570f3e", "kernel_id": "89704941"}, {"ref": "yutongzhang20080108/full-regex-based-solution", "kernel_id": "89612699"}, {"ref": "palvinder2006/makedatacount", "kernel_id": "89579734"}, {"ref": "ugotheslayer/lb-0-549-fork-of-lb-0-548", "kernel_id": "89006673"}, {"ref": "mehedihasanmoon/make-data-count-finding-data-references2", "kernel_id": "89917300"}, {"ref": "hguo5uwedu/hg-mdc", "kernel_id": "89430849"}, {"ref": "elenaryashchentceva/get-sample-xml-parser", "kernel_id": "89318747"}, {"ref": "imdadulhasanhamim/0-59-score-fork-of-mdc-solution-v30-0-56-score", "kernel_id": "89364038"}, {"ref": "roxanax/lightgbm-tf-idf-with-column-normalization", "kernel_id": "89178248"}, {"ref": "lovelivezx/lb0-559-fork-of-semantically-aware", "kernel_id": "89015425"}, {"ref": "yusuketogashi/lb-0-598-mdc-fork-of-solution-ed608a", "kernel_id": "89915302"}, {"ref": "lucvan68/qwen3-32b", "kernel_id": "89544735"}, {"ref": "mbilichenko/lb-0-609-fork-of-lb-0-607-mdc-fo", "kernel_id": "90403795"}, {"ref": "crischir/mdc-eda-lora-scanner", "kernel_id": "90563767"}, {"ref": "kingkong153/mdc-27th-solution", "kernel_id": "90439689"}, {"ref": "wguesdon/fork-of-lb-0-607-mdc", "kernel_id": "90295487"}, {"ref": "wkdrbwnd1/context-aware-dataset-reference-extractor", "kernel_id": "90079339"}, {"ref": "bcookie11/lord-of-the-submits-return-of-the-overfit", "kernel_id": "90219249"}, {"ref": "elnazalikarami/finding-data-references-make-data-count", "kernel_id": "90731724"}, {"ref": "noskaiser/mdc-change-prompt", "kernel_id": "90641328"}, {"ref": "muhammaddanyalmalik/mdc-competition-0-60", "kernel_id": "90160456"}, {"ref": "muhammaddanyalmalik/prompt-imroving-mdc", "kernel_id": "90501719"}, {"ref": "muhammaddanyalmalik/mdc-configuration-structure-ref", "kernel_id": "90706031"}, {"ref": "daoheliu/lb-0-615-mdc", "kernel_id": "90464547"}, {"ref": "imdadulhasanhamim/lb-0-62-llm-prediction", "kernel_id": "90688980"}, {"ref": "hiranorm/lb-0-669-mdc-full-regex", "kernel_id": "90900111"}, {"ref": "dheerajkannaujiya/extract-tp", "kernel_id": "90862553"}, {"ref": "mohitghansela/notebook6c3ca1f2ed", "kernel_id": "90844609"}, {"ref": "dickhartmanndouma/notebookd2bcb9e281", "kernel_id": "90723951"}, {"ref": "agastyakataria/finding-data-refrence", "kernel_id": "90126242"}, {"ref": "nikhilmishradev/final-sub-v3", "kernel_id": "91670361"}, {"ref": "crischir/lora-gemma3-mdc", "kernel_id": "91495832"}, {"ref": "crischir/mdc-inference-lora-gemma3-1b", "kernel_id": "91672043"}, {"ref": "conjuring92/mdc-a12-mdc-pipeline", "kernel_id": "91301350"}, {"ref": "conjuring92/mdc-tool-calling-agent-demo", "kernel_id": "91694290"}, {"ref": "tobimichigan/make-data-count-advanced-ml-classification", "kernel_id": "91553915"}, {"ref": "pablodig/mdc-latest-pablo-v3", "kernel_id": "91595491"}, {"ref": "wguesdon/fork-of-fork-of-0-606-after-llm-993720-30582e", "kernel_id": "91625362"}, {"ref": "tomirol/mdc-final-sub", "kernel_id": "91546520"}, {"ref": "conormacamhlaoibh/mdc-final-submissions", "kernel_id": "91640816"}, {"ref": "yeoyunsianggeremie/9-mdc-final-solution-notebook", "kernel_id": "91805148"}, {"ref": "alihaiderahmad/doi-mdc-2025-doi-acc-final", "kernel_id": "91657614"}, {"ref": "alihaiderahmad/doi-mdc-2025-doi-acc-ml", "kernel_id": "91729363"}, {"ref": "muhammadibrahim3093/acc-doi-only-new-post-processing", "kernel_id": "91681579"}, {"ref": "krishnendu85/datacount", "kernel_id": "91683433"}, {"ref": "qianyuu/fork-of-my-new-best-code-a2c783", "kernel_id": "91330770"}, {"ref": "datamanagemente/load-scibert-model-offline", "kernel_id": "91053857"}, {"ref": "mccocoful/mdc-cpu-submission", "kernel_id": "91653067"}, {"ref": "mccocoful/fork-of-fork-of-notebook192b7b1738-d01021-d1b195", "kernel_id": "91587125"}, {"ref": "muhammaddanyalmalik/mdc-configuration", "kernel_id": "91266838"}, {"ref": "vladislavlassa/mdc-regex-better-extraction", "kernel_id": "91662902"}, {"ref": "vladislavlassa/mdc-regex-baseline", "kernel_id": "91245158"}, {"ref": "raitwo/mdc-94th-place-solution-regex-scibert", "kernel_id": "91658921"}, {"ref": "hiranorm/mdc-67th-solution-qwen-2-5-14b-it-gptq8-finetune", "kernel_id": "91554011"}, {"ref": "anglolodorf/fork-of-0-606-after-llm-993720", "kernel_id": "91064444"}, {"ref": "jamliu0302/re-qwen7b", "kernel_id": "91496871"}, {"ref": "lanpana/fork-of-mdc-model-deep-learning", "kernel_id": "91281257"}, {"ref": "keakohv/mdc-1st-place-solution-catboost-and-qwen", "kernel_id": "92284776"}, {"ref": "keakohv/type-confusion-matrices-for-mdc-1st-place-soluton", "kernel_id": "94819176"}, {"ref": "osmanozcanli/mdc-1st-place-solution-catboost-and-qwen", "kernel_id": "110064448"}]}
{"competition_id": "82385", "kernels": []}
{"competition_id": "82405", "kernels": []}
{"competition_id": "82415", "kernels": []}
{"competition_id": "82431", "kernels": []}
{"competition_id": "82487", "kernels": [{"ref": "mihailnikolaev/grr-data-show-n-description", "kernel_id": "61555237"}]}
{"competition_id": "82492", "kernels": [{"ref": "eliyahusanti/aith-automl-fedot-catboost", "kernel_id": "61762482"}]}
{"competition_id": "82525", "kernels": []}
{"competition_id": "82538", "kernels": []}
{"competition_id": "82549", "kernels": [{"ref": "predictiveins/pi-starter-notebook", "kernel_id": "62409120"}, {"ref": "adrianmcintosh12/youth-employment-starter-runs-on-kaggle", "kernel_id": "64248353"}]}
{"competition_id": "82551", "kernels": []}
{"competition_id": "82600", "kernels": [{"ref": "malvirex/telecom-churn-prediction", "kernel_id": "63846714"}]}
{"competition_id": "82611", "kernels": [{"ref": "docxian/blood-glucose-prediction-explorations", "kernel_id": "66648504"}, {"ref": "salman1127/lightgbm-optuna-lb-2-61", "kernel_id": "66666297"}, {"ref": "sierra022/blood-glucose-prediction-xgboost", "kernel_id": "66518207"}, {"ref": "nicolechong/data-exploration-fs-xgb-with-optuna", "kernel_id": "66613532"}, {"ref": "sachinpatalasingh/blood-glucose-prediction", "kernel_id": "66937652"}, {"ref": "thomasmeiner/bloodglucoseprediction-bluecast", "kernel_id": "66471465"}, {"ref": "valentinemwai/brist1d-blood-glucose-prediction-lightbgm", "kernel_id": "66710846"}, {"ref": "ravi20076/brist1d-baseline-v1", "kernel_id": "66611927"}, {"ref": "twobob/bloodglucosepredictiongpu-xgboost", "kernel_id": "66355734"}, {"ref": "yunsuxiaozi/brist1d-top5-solution", "kernel_id": "66558774"}, {"ref": "yunsuxiaozi/brist1d-ridge", "kernel_id": "66500016"}, {"ref": "anmatngu/brist1d-blood-glucose-prediction", "kernel_id": "66854221"}, {"ref": "qamerzama/blood-glucose", "kernel_id": "66595438"}, {"ref": "youssefihab/using-xgboost-to-predict-blood-glucose-levels", "kernel_id": "66947931"}, {"ref": "mircofia/xgboost-lightgbm-catboost-optune-hyperopt", "kernel_id": "66872669"}, {"ref": "arka1993/ab-brist1d-bgp-xg-boost-model-2-5748", "kernel_id": "67578930"}, {"ref": "arka1993/ab-brist1d-bgp-eda", "kernel_id": "67015374"}, {"ref": "yoshifumimiya/brist1d-keras-lstm-vs-regressor", "kernel_id": "67009679"}, {"ref": "yoshifumimiya/brist1d-eda-vol-2", "kernel_id": "67903329"}, {"ref": "yoshifumimiya/brist1d-eda-indivisual-pattern", "kernel_id": "67892188"}, {"ref": "rohitdileep/blood-glucose", "kernel_id": "67158499"}, {"ref": "jagofc/brist1d-autocorrelation-granger-causality", "kernel_id": "67107175"}, {"ref": "jagofc/brist1d-full-interactive-timeseries", "kernel_id": "67046209"}, {"ref": "vineetgupta2023/xgboost-2-5492-blood-glucose", "kernel_id": "67195404"}, {"ref": "dheerajcl/brist1d-autogluon", "kernel_id": "67037316"}, {"ref": "suvroo/brist1d-autoglucon-ensemble-baseline", "kernel_id": "67007650"}, {"ref": "craigmthomas/brist1d-eda-models", "kernel_id": "68041252"}, {"ref": "craigmthomas/brist1d-simple-prediction", "kernel_id": "68757428"}, {"ref": "danielnowakassis/improve-your-score-with-quant", "kernel_id": "68088888"}, {"ref": "alkidiarete/brist1d-ensemble", "kernel_id": "68227605"}, {"ref": "therealmanraj/brist1d-notebook-of-public-score-2-5269", "kernel_id": "68788136"}, {"ref": "maoya0203/brist1d-votingensemble-baseline-with-pipeline", "kernel_id": "68057940"}, {"ref": "wangyaolong/machine-learning-team-work-course-project", "kernel_id": "68418100"}, {"ref": "vineetgupta2023/key-insights-from-xgboost-score-2-200", "kernel_id": "68001877"}, {"ref": "sheemamasood/bris-tid", "kernel_id": "68584318"}, {"ref": "alokkumar175358/brist1d-bld", "kernel_id": "68062397"}, {"ref": "danishyousuf19/blood-glucose-prediction-xgboost", "kernel_id": "68142534"}, {"ref": "altemiromar/full-guide-using-automl-on-bloodglucose", "kernel_id": "68347812"}, {"ref": "aaronramawad/blood-glucose-prediction-redeem-team", "kernel_id": "68351678"}, {"ref": "manuelmaterazzo/brist1d-blood-glucose-prediction", "kernel_id": "69528322"}, {"ref": "santhosraj14/tabnet-solution", "kernel_id": "69557355"}, {"ref": "dineshkottakota/predicting-blood-glucose-level", "kernel_id": "69848708"}, {"ref": "abdullah0a/predicting-blood-glucose-level", "kernel_id": "69771018"}, {"ref": "sheemamasood/bris-tid-ensemble-rf-xgb-cb-lgb", "kernel_id": "69457141"}, {"ref": "reciclador/blood-port", "kernel_id": "69452796"}, {"ref": "songokul/brist1d-blood-glucose-prediction-sgr", "kernel_id": "69009901"}, {"ref": "arka1993/ab-brist1d-bgp-lightgbm-catboost-model", "kernel_id": "70617369"}, {"ref": "ricopue/brist1d-ricopue-conv2d", "kernel_id": "70867613"}, {"ref": "greysky/brist1d-blood-glucose-prediction-tabnet", "kernel_id": "70158780"}, {"ref": "chingiznurzhanov/brist1d-blood-glucose-prediction-tabnet", "kernel_id": "70889210"}, {"ref": "shahzaibmalik44/ann-blood-glucose-prediction", "kernel_id": "70001916"}, {"ref": "zafarali27/prediction-with-xgboost", "kernel_id": "70780235"}, {"ref": "shaffankhawaja/brist1d-missing-data-analysis", "kernel_id": "70591418"}, {"ref": "haya111/brist1d-predictorpipeline", "kernel_id": "70684076"}, {"ref": "centrixgilfoyle/notebookb6a62bcf7d", "kernel_id": "70359442"}, {"ref": "ayansaqib/brist1d-eda-discovering-blood-glucose", "kernel_id": "70884769"}, {"ref": "ashish01/visualize-glucose-insulin-and-target", "kernel_id": "71743616"}, {"ref": "rickpack/mod-feature-importance-key-insights-from-xgboost", "kernel_id": "71189947"}, {"ref": "rgoodman/blood-glucose-prediction-simple-catboost", "kernel_id": "71661351"}, {"ref": "ricopue/brist1d-ricopue-conv2d-gru", "kernel_id": "71383898"}, {"ref": "ricopue/brist1d-ricopue-conv2d-final", "kernel_id": "71844918"}, {"ref": "hipparkarrahul18/blood-glucose-prediction", "kernel_id": "71889194"}, {"ref": "jamalsaeedi/brist1d-stack-regressor-tabnet", "kernel_id": "71237518"}, {"ref": "mstsvgram/simple-data-cleaning-and-xgboost", "kernel_id": "71728970"}, {"ref": "rahulshahozil/rahul-ozil", "kernel_id": "71466649"}, {"ref": "adamshtrasner/brist1d-blood-glucose-prediction-catboost", "kernel_id": "71931238"}, {"ref": "hoon0303/blood-glucose-prediction-tabnet", "kernel_id": "71326407"}, {"ref": "hoon0303/brist1d-42-different-models", "kernel_id": "71445438"}, {"ref": "sjudada/tabnetmodel-enhancing", "kernel_id": "71884899"}, {"ref": "stephenyulinchen/brist1d-stack-regressor-tabnet", "kernel_id": "71545312"}, {"ref": "armanmehdikazmi/brist1d-eda-feature-engineering", "kernel_id": "71141127"}, {"ref": "armanmehdikazmi/brist1d-predictorpipeline", "kernel_id": "71257367"}, {"ref": "khalidlemoude/brist1d-stack-regressor-tabnet", "kernel_id": "71853691"}, {"ref": "riapush/automl-final-project", "kernel_id": "71665060"}, {"ref": "foysal1/brist1d-blood-glucose-prediction-tabnet", "kernel_id": "71613224"}, {"ref": "sheemamasood/bris-tid-fast-ai", "kernel_id": "71230819"}, {"ref": "danishyousuf19/brist1d-dataset", "kernel_id": "71162323"}, {"ref": "ranisoni/brist1d-glucose-predictor", "kernel_id": "71922572"}, {"ref": "ititsam/2-xxx-brist1d-blood-glucose-gray-boosting", "kernel_id": "71444328"}, {"ref": "haya111/brist1d-eda-feature-engineering-lightgbm", "kernel_id": "71300802"}, {"ref": "haya111/brist1d-eda-feature-engineering", "kernel_id": "71446860"}, {"ref": "moridata/blood-glucose-prediction", "kernel_id": "71712712"}, {"ref": "ayansaqib/brist1d-eda-feature-engineering", "kernel_id": "71343033"}, {"ref": "ayansaqib/brist1d-blood-glucose-prediction-competition-noteb", "kernel_id": "71212421"}, {"ref": "tongkeji/blood-glucose-prediction", "kernel_id": "71599176"}, {"ref": "tansijun/stacked-tabnet", "kernel_id": "71895443"}, {"ref": "docxian/ps-s4-e12-insurance-premium-prediction", "kernel_id": "72023573"}, {"ref": "mustkaang/7th-place-solution-train-test-data-preprocess", "kernel_id": "72179588"}, {"ref": "pardinijulio/competition-brist1-blood-glucose-prediction", "kernel_id": "72869046"}, {"ref": "matthieuouvrard/notebooke4b755bbiluminia", "kernel_id": "72883818"}, {"ref": "hassanabdulrazeq/predicting-future-blood-glucose", "kernel_id": "81226046"}, {"ref": "thnhcaolcng/selective-inference", "kernel_id": "88804170"}, {"ref": "vinhquang1786/paper2", "kernel_id": "89484443"}, {"ref": "vinhquang1786/paperv3", "kernel_id": "89588521"}, {"ref": "vinhquang1786/paper2-81e71e", "kernel_id": "89572980"}, {"ref": "vinhquang1786/realdata2", "kernel_id": "89215468"}, {"ref": "vinhquang1786/paperv10", "kernel_id": "90424857"}]}
{"competition_id": "82620", "kernels": []}
{"competition_id": "82622", "kernels": [{"ref": "margsli/llm-merging-competition-starter-kit", "kernel_id": "65299593"}]}
{"competition_id": "82644", "kernels": [{"ref": "karimanwar/covid-cnn", "kernel_id": "90928202"}]}
{"competition_id": "82649", "kernels": []}
{"competition_id": "82652", "kernels": []}
{"competition_id": "82654", "kernels": [{"ref": "cashfeg/chatgpt3-5", "kernel_id": "61819051"}, {"ref": "cashfeg/keras", "kernel_id": "62633239"}, {"ref": "cashfeg/keras-cnn", "kernel_id": "62634233"}]}
{"competition_id": "82664", "kernels": []}
{"competition_id": "82666", "kernels": []}
{"competition_id": "82668", "kernels": [{"ref": "lennarthaupts/matching-firm-names-using-dbscan", "kernel_id": "62692473"}, {"ref": "lennarthaupts/string-clustering-with-graphs-and-gbts", "kernel_id": "62957472"}, {"ref": "karlcini/manufacturer-name-similarity-public-1-solution", "kernel_id": "67919142"}, {"ref": "piotrek40941/clustering-manufacturer-names", "kernel_id": "71634693"}, {"ref": "elkhawaga/manufacturer-name-classification", "kernel_id": "93826846"}]}
{"competition_id": "82678", "kernels": [{"ref": "naandhu/bert-base-uncased-fine-tuned-for-classification", "kernel_id": "72438087"}]}
{"competition_id": "82695", "kernels": [{"ref": "inversion/eedi-efficiency-lb", "kernel_id": "64796871"}, {"ref": "priteshhhh/eedi-fast-eda-pd", "kernel_id": "65740697"}, {"ref": "docxian/eedi-misconceptions-basic-stats", "kernel_id": "65717082"}, {"ref": "ubamba98/eedi-zero-shot-w-llm-feature-lb-0-180", "kernel_id": "65862923"}, {"ref": "ashwanibhat/zero-shot-w-llm-feature-bge-small", "kernel_id": "65887061"}, {"ref": "pingfan/baseline-bge-cos-sim", "kernel_id": "65713807"}, {"ref": "sinchir0/baseline-tfidf-cos-sim", "kernel_id": "65705193"}, {"ref": "sinchir0/retriever-tfidf-reranker-deberta-3-infer", "kernel_id": "65752489"}, {"ref": "sinchir0/eedi-library", "kernel_id": "65752692"}, {"ref": "sinchir0/retriever-tfidf-reranker-deberta-1-trn-ret", "kernel_id": "65831291"}, {"ref": "sinchir0/retriever-tfidf-reranker-deberta-2-trn-rerank", "kernel_id": "65831536"}, {"ref": "mpwolke/misconceptions-distractors-in-maths", "kernel_id": "65693550"}, {"ref": "mbmmurad/understanding-the-competition-eda-and-overview", "kernel_id": "65692005"}, {"ref": "alejopaullier/eedi-gemma-2b-it-rag", "kernel_id": "65873861"}, {"ref": "nbroad/probe-for-misconceptions", "kernel_id": "65696284"}, {"ref": "vincentschuler/eedi-lightgbm-cross-validation", "kernel_id": "65713738"}, {"ref": "gabrielvinicius/eedi-exploration-misconceptions-in-mathematics", "kernel_id": "65867487"}, {"ref": "jaytonde/cosine-similarity-bge", "kernel_id": "65718820"}, {"ref": "fernandosr85/misconception-classification-using-ensemble-learni", "kernel_id": "65874428"}, {"ref": "nabojyotipandey/eedi-model-selection-svc-cross-validation", "kernel_id": "65952313"}, {"ref": "asalhi/eedisimilarityv1", "kernel_id": "65704288"}, {"ref": "junyama09143/data-of-eedi-jp", "kernel_id": "65792961"}, {"ref": "cindybtari/starter-bge", "kernel_id": "65803016"}, {"ref": "babydriver1233/mining-misconceptions-in-mathematics", "kernel_id": "65990846"}, {"ref": "abdullahmeda/eedi-external-python-libraries-wheels", "kernel_id": "65735327"}, {"ref": "abdullahmeda/rag-101-bge-small-x-bm25-retrieval-eval", "kernel_id": "65760200"}, {"ref": "abdullahmeda/eedi-map-k-metric", "kernel_id": "65769421"}, {"ref": "gedewahyupurnama/eedi-keras-tensorflow-model-submission-cpu", "kernel_id": "65707033"}, {"ref": "gurveersinghvirk/cosine-similarity", "kernel_id": "65861941"}, {"ref": "pshikk/similarity-preprocessing", "kernel_id": "65857968"}, {"ref": "richolson/eedi-phi-mini-3-5", "kernel_id": "65833698"}, {"ref": "jaejohn/eedi-bge-starter", "kernel_id": "65851843"}, {"ref": "osakanateishoku/eedi-simcse-simple-baseline-train", "kernel_id": "65910090"}, {"ref": "osakanateishoku/eedi-simcse-simple-baseline-inference", "kernel_id": "65933478"}, {"ref": "alok30/eedi-1st", "kernel_id": "65709068"}, {"ref": "ceazy75/notebookbe45200dcb", "kernel_id": "65735263"}, {"ref": "kyawswarhein/retriever-tfidf-reranker-deberta-3-infer", "kernel_id": "65888766"}, {"ref": "levantaokkz/start-mining-misconceptions", "kernel_id": "65700517"}, {"ref": "wuzhangming/eedi-fast-eda", "kernel_id": "65698350"}, {"ref": "wongmanho/notebooka106919ef0", "kernel_id": "65861477"}, {"ref": "theeventhorizons/eedi-eda", "kernel_id": "65945279"}, {"ref": "makimakiai/eedi-overview-jp", "kernel_id": "65704431"}, {"ref": "makimakiai/eedi-fast-eda-jp", "kernel_id": "65704570"}, {"ref": "paulnkamau/starter-lb-0-100", "kernel_id": "65712113"}, {"ref": "pengzhengcurtis/fine-tuning-st", "kernel_id": "65929273"}, {"ref": "codecavalier/decoding-misconception-powered-by-rapids-cudf", "kernel_id": "65709230"}, {"ref": "marwanashref/mining-misconceptions-in-mathematics", "kernel_id": "65781096"}, {"ref": "icozma/target-analysis-for-misconceptions", "kernel_id": "66657807"}, {"ref": "icozma/pyspark-mining-misconceptions-in-math", "kernel_id": "66188909"}, {"ref": "priyankakonakandla/running-models-using-gguf-llama", "kernel_id": "66746727"}, {"ref": "jugesdebnath/notebook-mining-misconceptions-in-mathematics", "kernel_id": "66520911"}, {"ref": "arunodhayan/simple-baseline", "kernel_id": "66202240"}, {"ref": "medali1992/eedi-library-from-sinchiro", "kernel_id": "66352328"}, {"ref": "medali1992/edii-finetune-gte-base-embedding", "kernel_id": "66423721"}, {"ref": "medali1992/modified-gte-base-weights", "kernel_id": "66630676"}, {"ref": "medali1992/ensemble-mpnetv2-bge-gte-with-faiss-gpu", "kernel_id": "66633326"}, {"ref": "copasta/eedi-library", "kernel_id": "66312923"}, {"ref": "sinchir0/fine-tuning-bge-train", "kernel_id": "66004677"}, {"ref": "sinchir0/fine-tuning-bge-infer", "kernel_id": "66015776"}, {"ref": "sparsh35/eedi-bge-starter", "kernel_id": "66681828"}, {"ref": "takaito/eedi-copy-fine-tuning-bge-infer-single-model", "kernel_id": "66268591"}, {"ref": "onkur7/eedi-merge-data", "kernel_id": "66281920"}, {"ref": "junyama09143/eedi-phi-2-trial-jp", "kernel_id": "66180982"}, {"ref": "hongtrungnguyn/hihihihi", "kernel_id": "66491024"}, {"ref": "mohamedantargad/eedi-eda-from-simple-to-complex", "kernel_id": "66039071"}, {"ref": "samanthahassal/multiple-choice-math-misconceptions", "kernel_id": "66011068"}, {"ref": "jyotirma/jyotirmai-misconneption-solved", "kernel_id": "66311610"}, {"ref": "windnict/finetune-similarities-bge-large", "kernel_id": "66012898"}, {"ref": "abdullahmeda/eedi-train-finetune-bge-embedding-model", "kernel_id": "66202427"}, {"ref": "abdullahmeda/eedi-infer-finetune-bge-embedding-model", "kernel_id": "66210635"}, {"ref": "sabyrbazarymbetov/llm-solver", "kernel_id": "66023175"}, {"ref": "sabyrbazarymbetov/qwen-o-qwen", "kernel_id": "66879256"}, {"ref": "panyankun/misconception-cosinsim-chat-template-as-prompt", "kernel_id": "66265499"}, {"ref": "panyankun/rag-for-simmisconception-a-proper-program", "kernel_id": "66103334"}, {"ref": "samriddhabasu464/eedi-training", "kernel_id": "66220918"}, {"ref": "minhnguyendichnhat/data-synthesizing", "kernel_id": "66021130"}, {"ref": "minhnguyendichnhat/first-baseline-bge", "kernel_id": "66021203"}, {"ref": "minhnguyendichnhat/fine-tuning-bge-train", "kernel_id": "66251950"}, {"ref": "minhnguyendichnhat/synthesizing-data-to-finetune-bge", "kernel_id": "66375169"}, {"ref": "minhnguyendichnhat/infer-bge", "kernel_id": "66268892"}, {"ref": "minhnguyendichnhat/train-bge-synthetic-data", "kernel_id": "66270656"}, {"ref": "minhnguyendichnhat/infer-bge-synthetic-data", "kernel_id": "66326634"}, {"ref": "gurveersinghvirk/eedi-phi-mini-3-5-test-1", "kernel_id": "66380933"}, {"ref": "priyash07/llm-inference-phi-3-5-mini-instruct", "kernel_id": "66369618"}, {"ref": "priyash07/submission-demo-tfidf-and-gradient-boos", "kernel_id": "66022071"}, {"ref": "defdet/llama-3-training-on-tpu", "kernel_id": "66521729"}, {"ref": "idrissamdicko/eedi-mining-misconceptions-in-mathematics-v2", "kernel_id": "66060101"}, {"ref": "idrissamdicko/eedi-mining-misconceptions-in-mathematics-v1", "kernel_id": "66035574"}, {"ref": "richolson/eedi-llm-benchmark", "kernel_id": "66827836"}, {"ref": "desmarini/submission-csv", "kernel_id": "66051998"}, {"ref": "polygot13/mining-misconception", "kernel_id": "66750768"}, {"ref": "liukeshuang/gemma-bge", "kernel_id": "66301288"}, {"ref": "ndnm2k3/train-bge-synthetic-data", "kernel_id": "66438499"}, {"ref": "levantaokkz/fine-tuning-gte-train", "kernel_id": "66271587"}, {"ref": "levantaokkz/encoding-debert", "kernel_id": "66650116"}, {"ref": "keniasnyandoro/misconceptions-in-mathematics", "kernel_id": "66708999"}, {"ref": "programmarself/ai-driven-misconception-prediction", "kernel_id": "66015361"}, {"ref": "yedaotian/special-attempt-of-ydt", "kernel_id": "66440039"}, {"ref": "mengyuhao/qwen2-5-math-fineture-bge", "kernel_id": "66648916"}, {"ref": "amirbrohii/misconceptions-in-math", "kernel_id": "66843302"}, {"ref": "muhammaddawood42/understanding-the-competition-eda-and-overview", "kernel_id": "66750810"}, {"ref": "reciclador/misconception1-flan", "kernel_id": "66665601"}, {"ref": "syf1006/ml-ch03", "kernel_id": "66417207"}, {"ref": "shinchain7774/kaggle-competition", "kernel_id": "66343433"}, {"ref": "ulrich07/eedi-starter-sent-embs-cpu", "kernel_id": "67131011"}, {"ref": "ulrich07/eedi-cpu-starter", "kernel_id": "67131492"}, {"ref": "samir95/fine-tuning-bge-train", "kernel_id": "67930063"}, {"ref": "johnsonhk88/misconceptions-in-mathematics-by-llm", "kernel_id": "67048530"}, {"ref": "kaungmyatkyaw/open-orca-mistral-7b-openorca", "kernel_id": "67918089"}, {"ref": "anhvth226/eedi-library", "kernel_id": "67257118"}, {"ref": "w1547327249/eedi-phi-mini-3-5", "kernel_id": "67987341"}, {"ref": "doifgoox/notebookf68c9f62ab", "kernel_id": "67898602"}, {"ref": "leonliu360/eedi-math-misconcpetions-eda-and-overview", "kernel_id": "67119096"}, {"ref": "chenzihong/startup-analysis", "kernel_id": "67982663"}, {"ref": "abdullahmeda/eedi-few-shot-w-qwen2-5-32b-instruct-awq-vllm", "kernel_id": "67482812"}, {"ref": "esabellechen/eedi-submit", "kernel_id": "67780557"}, {"ref": "prtm1908/hybrid-search-vector-keyword-baseline", "kernel_id": "67338362"}, {"ref": "liukeshuang/gemma-bge-v1", "kernel_id": "67032943"}, {"ref": "zoyadakhovnyk/eedi-simple-look-at-the-data", "kernel_id": "67032929"}, {"ref": "yourlh/weighted-ensemble-mpnetv2-bge-gte-with-faiss", "kernel_id": "67297656"}, {"ref": "levantaokkz/modified-gte-base-weights", "kernel_id": "67000105"}, {"ref": "shuvosaha1234/eedi-mining-misconceptions", "kernel_id": "67167836"}, {"ref": "anshulm257/optimizing-bge-for-inference-tasks", "kernel_id": "67339119"}, {"ref": "roschildrui/fewshotllms-bge", "kernel_id": "67372267"}, {"ref": "nguynminhhiuz/fine-tuning-bge-train", "kernel_id": "67032751"}, {"ref": "nguynminhhiuz/train-gte-base-synthetic-data", "kernel_id": "67005009"}, {"ref": "krishnayadav456wrsty/eedi-mining-misconceptions-in-mathematics", "kernel_id": "67344278"}, {"ref": "wwwiji/ensemble-mpnetv2-bge-gte-with-faiss-gpu", "kernel_id": "67834248"}, {"ref": "zhuoii/llm-try", "kernel_id": "67549955"}, {"ref": "jpmiller/rag-101-bge-small-x-bm25-from-abdullah", "kernel_id": "68107546"}, {"ref": "takoihiraokazu/baai-bge-large-en-v15-save", "kernel_id": "68679279"}, {"ref": "takoihiraokazu/gte-large-en-v15-save", "kernel_id": "68809251"}, {"ref": "takoihiraokazu/baai-bge-base-en-v15-save", "kernel_id": "68886908"}, {"ref": "medali1992/finetune-gte-base-embedding-groupkfold", "kernel_id": "68951469"}, {"ref": "kuto0633/eedi-viewer-by-streamlit", "kernel_id": "68890086"}, {"ref": "takanashihumbert/eedi-qwen-2-5-32b-awq-two-time-retrieval", "kernel_id": "68443663"}, {"ref": "nikhiltumbde/thebloke-metamath-13b-v1-0-awq", "kernel_id": "68923942"}, {"ref": "alexandrebeiruth/llm-lora", "kernel_id": "68433607"}, {"ref": "songqizhou/eedi-qwen-2-5-32b-awq-two-time-retrieval-0-368", "kernel_id": "68816190"}, {"ref": "nicugurmuzachi/notebook54f0e39f16", "kernel_id": "68921087"}, {"ref": "sabyrbazarymbetov/library-for-eedi", "kernel_id": "68152419"}, {"ref": "esabellechen/eedi-train-mpnet-base-v2", "kernel_id": "68060480"}, {"ref": "esabellechen/eedi-train-minilm-l6v2", "kernel_id": "68060163"}, {"ref": "esabellechen/eedi-submit-ensemble", "kernel_id": "68059372"}, {"ref": "esabellechen/eedi-train-gte-base", "kernel_id": "68388151"}, {"ref": "meshristythapa/implementation-with-cosline-similarity", "kernel_id": "68077059"}, {"ref": "linewar/weighted-ensemble-mpnetv2-bge-gte-with-fais-73b610", "kernel_id": "68003214"}, {"ref": "armaanseth6702/ensembleencoderhybridsearch", "kernel_id": "68133849"}, {"ref": "sontrancao/fine-tuning-bge-train", "kernel_id": "68729015"}, {"ref": "richolson/eedi-chain-of-thought-chatgpt-augmented-dataset", "kernel_id": "68234811"}, {"ref": "lvoflnjh/notebook56f9351741", "kernel_id": "68247124"}, {"ref": "sanidhyagoel/hybrid-search-with-weight-optimisation", "kernel_id": "68278682"}, {"ref": "prtm1908/hybrid-search-ensemble-encoder-bm25", "kernel_id": "68028655"}, {"ref": "kyawswarhein/csc494-ksh-eedi-llm-benchmark", "kernel_id": "68167399"}, {"ref": "nanthana24/mathematicss", "kernel_id": "68131855"}, {"ref": "nanthana24/misconception", "kernel_id": "68129796"}, {"ref": "twinklewill/training-sft-eedi-gemma-2-finetune", "kernel_id": "68376154"}, {"ref": "twinklewill/training-self-supervised-eedi-gemma-2-finetune", "kernel_id": "68381942"}, {"ref": "medali1992/accelerate-gte-groupkfold-train", "kernel_id": "69620554"}, {"ref": "derderi/drdirdiri", "kernel_id": "69007874"}, {"ref": "derderi/dirdiri-ea", "kernel_id": "69006253"}, {"ref": "sayoulala/use-llm-embedding-recall-infer", "kernel_id": "69371372"}, {"ref": "riyajm/serious-duplication-or-multiple-misconceptions", "kernel_id": "69838116"}, {"ref": "jdrhgojdrhg/infer-eegi-bge-pandas", "kernel_id": "69217977"}, {"ref": "yokuyama/setup-eedi-environment", "kernel_id": "69819229"}, {"ref": "arindamroy23/sentence-transformers", "kernel_id": "69898526"}, {"ref": "nikhiltumbde/alibaba-nlp-gte-qwen2-7b-instruct", "kernel_id": "69549521"}, {"ref": "arihantsheth/bge-small-tuned-20-epochs-inference", "kernel_id": "69158785"}, {"ref": "arihantsheth/bge-large-untuned-inference", "kernel_id": "69786390"}, {"ref": "redboycheatz/comp-2-notebook", "kernel_id": "69493907"}, {"ref": "sakiiib/eedi-mining", "kernel_id": "69472730"}, {"ref": "sofeamohmadnoh/bert-base-uncased-sofea", "kernel_id": "69340977"}, {"ref": "centrixgilfoyle/eedi-mining-misconceptions", "kernel_id": "69245223"}, {"ref": "takoihiraokazu/exp105-qwen-2-5-32b-awq-make-answer-83bdc7", "kernel_id": "70397043"}, {"ref": "takoihiraokazu/salesforce-sfr-embedding-2-r", "kernel_id": "70877792"}, {"ref": "conjuring92/eedi-fold-split-5folds", "kernel_id": "70545299"}, {"ref": "treeleaves30760/basic-notebook-20241126", "kernel_id": "70942643"}, {"ref": "jakehan0709/bge-faiss-embedding-with-extra-dataset", "kernel_id": "70628090"}, {"ref": "idrissamdicko/fork-of-eedi-chain-of-thought-chatgpt", "kernel_id": "70504735"}, {"ref": "kaop11/misconceptionid-predict", "kernel_id": "70862934"}, {"ref": "hungnguyenno2/modifi-gte-large-en-1-5-v2", "kernel_id": "70055937"}, {"ref": "hungnguyenno2/modifi-stella-en-400m-v1", "kernel_id": "70060812"}, {"ref": "caokhoihuynh/hck-eedi-cosine-similarity-ensemble-tokenizer", "kernel_id": "70664115"}, {"ref": "doublezeta/train-reranker", "kernel_id": "70773999"}, {"ref": "doublezeta/train-data-sft", "kernel_id": "70352426"}, {"ref": "system2c/finetuning-of-qwen-awq-two-time-retrieval-0-373", "kernel_id": "70836235"}, {"ref": "yizhewang3/eedi-qwen-2-5-1-5b-finetuning-0-366", "kernel_id": "70169829"}, {"ref": "jiachenzhou05/inference-v1", "kernel_id": "70393823"}, {"ref": "nishantjoshi7/eedi-project", "kernel_id": "70933350"}, {"ref": "junruzhangmarble/fine-tuning-bge-train", "kernel_id": "70324573"}, {"ref": "rsakata/eedi-1-misconception-explanation", "kernel_id": "71295605"}, {"ref": "aerdem4/eedi-qwen32b-vllm-with-logits-processor-zoo", "kernel_id": "71120301"}, {"ref": "takoihiraokazu/qwen-qwen2-5-32b-instruct-gptq-int4", "kernel_id": "71577344"}, {"ref": "spatil2017/notebook-eedi-qwen-math-1", "kernel_id": "71838767"}, {"ref": "pablomarino/dspy-baseline", "kernel_id": "71063629"}, {"ref": "copasta/eedi-library-llm2vec", "kernel_id": "71551584"}, {"ref": "leonshangguan/synthetic-data-test-eedi-qwen2-5-14b", "kernel_id": "71456002"}, {"ref": "hydraze/eedi-submission-finetuned", "kernel_id": "71831657"}, {"ref": "hydraze/eedi-finetuning", "kernel_id": "71792943"}, {"ref": "dipamc77/qwen0-5-sentence-model", "kernel_id": "71759790"}, {"ref": "kevinzeng/eedi-compare-with-solution", "kernel_id": "71667818"}, {"ref": "arindamroy23/synthetic-data-pipeline-prompteng", "kernel_id": "71425985"}, {"ref": "anhvth226/eedi-11-21-14b", "kernel_id": "71341107"}, {"ref": "syzong/fork-of-ensemble-embedding-recall-alldata", "kernel_id": "71103695"}, {"ref": "surojit1812/eedi-mining-misconception-competition", "kernel_id": "71539596"}, {"ref": "jagatkiran/qwen14b-retrieval-qwen32b-logits-processor-zoo", "kernel_id": "71450533"}, {"ref": "zuoyouzuo/eedi-qwen2-5-14b-it-a-simple-infer-lb-0-422", "kernel_id": "71321367"}, {"ref": "boochanggyu/eedi-llm-with-rag-in-colab-kor-marks", "kernel_id": "71013532"}, {"ref": "arihantsheth/mathberta-tuned-20-epochs-inference", "kernel_id": "71885703"}, {"ref": "hoon0303/eedi-qwen32b-vllm", "kernel_id": "71321672"}, {"ref": "nicugurmuzachi/notebook541f0da9cb", "kernel_id": "71617952"}, {"ref": "nipunmittal/eedi-project", "kernel_id": "71555441"}, {"ref": "jeffrey007wang/ensemble-mpnetv2-bge-gte-with-faiss-gpu", "kernel_id": "71131070"}, {"ref": "gyyismyyyds/skw-test", "kernel_id": "71222933"}, {"ref": "linchenyu/eedi-qwen2-5-14b-it-infer-rerank", "kernel_id": "71665925"}, {"ref": "sontrancao/eedi-qwen32b-vllm-with-logits-processor-zoo", "kernel_id": "71535708"}, {"ref": "iosifcovasan/baseline-bge-cosine-similarity", "kernel_id": "71983203"}, {"ref": "nicolaciotti/eedi-submission", "kernel_id": "71794080"}, {"ref": "nextnlp/2-step-train-20-synthetic-data", "kernel_id": "71305534"}, {"ref": "pengyawang/notebook60390e8cef", "kernel_id": "71647754"}, {"ref": "binghua1234/base-line", "kernel_id": "71667924"}, {"ref": "camelliawe/qwen14b-retrieval-qwen32b-logits-processor-zoo", "kernel_id": "71942049"}, {"ref": "mahimajagadeeshpatel/11785-mahima", "kernel_id": "71859353"}, {"ref": "rgmathew/2stageattempts", "kernel_id": "71859549"}, {"ref": "metetugay/eedi-maas", "kernel_id": "71249736"}, {"ref": "jiachenzhou05/inference-v2", "kernel_id": "71576728"}, {"ref": "chenzimo001/my-eedi-qwen-2-5-32b-awq-two-time-retrieval", "kernel_id": "71749077"}, {"ref": "takoihiraokazu/exp341-347-lora-merge", "kernel_id": "72731512"}, {"ref": "takoihiraokazu/exp348-349-lora-merge", "kernel_id": "72732216"}, {"ref": "conjuring92/eedi-1st-place-solution-notebook", "kernel_id": "72463015"}, {"ref": "tobimichigan/algor-eedi-mining-in-mathematics-w-nlp-and-sim", "kernel_id": "72726552"}, {"ref": "copasta/eedi-library-qwen45", "kernel_id": "72782763"}, {"ref": "charmq/eedi-pp040-ret15-exp345-341-348-multi-32b-ret-c015", "kernel_id": "72825667"}, {"ref": "dedquoc/eedi-mining-misconceptions-in-mathematics", "kernel_id": "72147328"}, {"ref": "jdrhgojdrhg/qwen14b-retrieval-qwen32b-logits-processor-zoo", "kernel_id": "72280370"}, {"ref": "jdrhgojdrhg/mpnet-and-bge-reranker-large", "kernel_id": "72196698"}, {"ref": "tkyiws/sub-embedder-reranker-ensemble-v3", "kernel_id": "72571838"}, {"ref": "evanarlian/eedi-retrieval-rerank", "kernel_id": "72436610"}, {"ref": "zhudong1949/recall-reranker-logit-72b", "kernel_id": "72454590"}, {"ref": "bryanjh24/eedi-qwen-32b-vllm", "kernel_id": "72089042"}, {"ref": "hinsay/kfold-recall-and-reranker", "kernel_id": "72367130"}, {"ref": "nikhiltumbde/kirillr-qwq-32b-preview-awq", "kernel_id": "72007631"}, {"ref": "arihantsheth/bge-large-tuned-2-epochs-qwen2-5-32b", "kernel_id": "72138980"}, {"ref": "arihantsheth/11785-mahima", "kernel_id": "72019929"}, {"ref": "arihantsheth/mpnet-v2-tuned-6-epochs-qwen2-5-32b", "kernel_id": "72219288"}, {"ref": "arihantsheth/mpnet-v2-fine-tuned-6-epochs-inference", "kernel_id": "72219080"}, {"ref": "arihantsheth/bge-en-icl-zero-shot-qwen2-5-32b", "kernel_id": "72280921"}, {"ref": "arihantsheth/bge-en-icl-zero-shot", "kernel_id": "72285417"}, {"ref": "arihantsheth/notebookf39360903d", "kernel_id": "72270889"}, {"ref": "arihantsheth/notebookff534ead67", "kernel_id": "72271967"}, {"ref": "arihantsheth/mpnet-v2-fine-tuned-2-epochs-inference", "kernel_id": "72211381"}, {"ref": "arihantsheth/stella-1-5b-untuned-qwen2-5-32b", "kernel_id": "72211465"}, {"ref": "arihantsheth/mpnet-v2-tuned-2-epochs-qwen2-5-32b", "kernel_id": "72209970"}, {"ref": "arihantsheth/bge-large-synthetic-qwen2-5-32b", "kernel_id": "72337224"}, {"ref": "yannan90/eedi-recall-rerank-lb-0-601-pb-0-584", "kernel_id": "72191905"}, {"ref": "pituchaimitpakdee/qwen2-5-32b-instruct-gptq-int4", "kernel_id": "72118208"}, {"ref": "threerabbits/eedi-11-21-myq14b-q32b-rerank-mod-novel-local-suf", "kernel_id": "72812304"}, {"ref": "b09208022/embedding-model-llc", "kernel_id": "72214099"}, {"ref": "b09208022/eedi-bert", "kernel_id": "72237223"}, {"ref": "b09208022/answer-model-llc", "kernel_id": "72220531"}, {"ref": "iosifcovasan/eedi-phi-3-5-mini-instruct-and-bge", "kernel_id": "72597729"}, {"ref": "iosifcovasan/eedi-retrieve-rerank", "kernel_id": "72781474"}, {"ref": "linsiwei/eedi-library-2", "kernel_id": "72063402"}, {"ref": "laijaihong/eedi-qwen-32b-vllm", "kernel_id": "72424874"}, {"ref": "doublezeta/notebook0d961c3b94", "kernel_id": "72665179"}, {"ref": "tiennhat/nhat-notebook", "kernel_id": "72125712"}, {"ref": "mschoo/flag-qwen14b-test", "kernel_id": "72252577"}, {"ref": "pengzhengcurtis/cot-reranking-messages", "kernel_id": "72763482"}, {"ref": "vreaugpu/eedi-bge-fine-tuning", "kernel_id": "72781845"}, {"ref": "n96131142/eedi-g40", "kernel_id": "72442417"}, {"ref": "bahaaltanreisolu/tensorflow-eedi", "kernel_id": "72195305"}, {"ref": "osuga2509/73rd-place-reranker-with-in-context-learning", "kernel_id": "72767420"}, {"ref": "loulou12/understanding-the-competition-eda-and-overview2", "kernel_id": "72034222"}, {"ref": "austin96/notebookccfda1ab24", "kernel_id": "72230933"}, {"ref": "rsakata/eedi-3-retrieval", "kernel_id": "73328670"}, {"ref": "rsakata/eedi-2-train-embedding-model", "kernel_id": "73313232"}, {"ref": "honglihang/setup-lmsys-environment", "kernel_id": "73338787"}, {"ref": "minhtrh/test-solution-21-12-24", "kernel_id": "73371927"}, {"ref": "alice0329/notebook4b8d9e8ac4", "kernel_id": "73625205"}, {"ref": "hanaghanem/trial2", "kernel_id": "73692223"}, {"ref": "caokhoihuynh/hck-eda", "kernel_id": "73427971"}, {"ref": "caokhoihuynh/eedi-retrieval-rerank", "kernel_id": "73973838"}, {"ref": "siva56743/notebook1337b05690", "kernel_id": "73114128"}, {"ref": "tsaowencheng/eedi-qwen32b-vllm", "kernel_id": "73581756"}, {"ref": "honglihang/2nd-place-inference-code", "kernel_id": "74783082"}, {"ref": "minhtrh/eedi-14-01", "kernel_id": "74109907"}, {"ref": "minhtrh/eedi-15-01", "kernel_id": "74711221"}, {"ref": "minhtrh/eedi-19-01-final", "kernel_id": "74944450"}, {"ref": "minhtrh/eedi-19-01", "kernel_id": "74942865"}, {"ref": "nguyen2phuong5nam/hcmus-2425-2-h-c-s-u", "kernel_id": "74496970"}, {"ref": "nguyen2phuong5nam/dataeda", "kernel_id": "74033381"}, {"ref": "cheesepp/eedi-qwen-2-5-32b-awq-two-time-retrieval", "kernel_id": "74943379"}, {"ref": "iosifcovasan/fine-tuning-bge-training", "kernel_id": "74220772"}, {"ref": "iosifcovasan/qwen-awq-two-time-retrieval", "kernel_id": "74770084"}, {"ref": "phamletunhi/eedi-semantic-analysis", "kernel_id": "74069826"}, {"ref": "hcmus0pgn/eedi-baai-bge-en-icl", "kernel_id": "74955653"}, {"ref": "hcmus0pgn/eedi-qwen-2-5-32b-awq-two-time-retrieval-f419f3", "kernel_id": "74961975"}, {"ref": "hcmus0pgn/eedi-intfloat-e5-mistral-7b-instruct", "kernel_id": "74910419"}, {"ref": "caokhoihuynh/model-final", "kernel_id": "74989348"}, {"ref": "nyugen/eedi-qwen2-5-14b-it-a-simple-infer-lb-0-422", "kernel_id": "74834283"}, {"ref": "justdylan/report-eedi", "kernel_id": "74585961"}, {"ref": "phuonn/eedi-qwen2-5-14b-it", "kernel_id": "74668445"}, {"ref": "annguyenhoai/model-building", "kernel_id": "74765982"}, {"ref": "diiisdead/eda-eedi", "kernel_id": "74859314"}, {"ref": "diiisdead/eedi-eda-deeplearning", "kernel_id": "74856153"}, {"ref": "adsamardeep/eedi-v1", "kernel_id": "75563843"}, {"ref": "hatobai/eedi-1st-place-solution-notebook", "kernel_id": "77781013"}, {"ref": "kami634/hands-on-eedi-overview-eda-solution", "kernel_id": "79788355"}, {"ref": "kami634/hands-on-kaggle-notebook-solution", "kernel_id": "79772922"}, {"ref": "kami634/hands-on-eedi-modeling-solution", "kernel_id": "79973512"}, {"ref": "nguynhucng/qwen-math", "kernel_id": "79660428"}, {"ref": "nguynhucng/split", "kernel_id": "79888397"}, {"ref": "kami634/hands-on-eedi-solution", "kernel_id": "80765196"}, {"ref": "kami634/hands-on-eedi-modeling", "kernel_id": "81141691"}, {"ref": "kami634/hands-on-eedi", "kernel_id": "81141956"}, {"ref": "kami634/eedi-overview-eda", "kernel_id": "81089578"}, {"ref": "takuyatoyama/hands-on-eedi-modeling", "kernel_id": "81275860"}, {"ref": "nguynhucng/train-retriever", "kernel_id": "82298397"}, {"ref": "nguynhucng/fork-of-train-retriever", "kernel_id": "82576830"}, {"ref": "nguynhucng/infer", "kernel_id": "83657266"}, {"ref": "vinhsokaggle/infer-nlp-ver10", "kernel_id": "83651302"}, {"ref": "cngnguynhuuz/infer", "kernel_id": "83486487"}, {"ref": "zhang2dog/retriever-train-stella-en-1-5b", "kernel_id": "84474125"}, {"ref": "hcmus0pgn/hcmus-2425-2-h-c-s-u", "kernel_id": "85768898"}, {"ref": "chaneyma/eedi-qwen32b-vllm-with-logits-processor-zoo", "kernel_id": "85247515"}, {"ref": "occultainsights/hugging-face-llama-2-7b-langchain-integration", "kernel_id": "87826194"}, {"ref": "renukaoladhri/eedil-l", "kernel_id": "87544450"}, {"ref": "renukaoladhri/eediretriever", "kernel_id": "87508015"}, {"ref": "beiracar/data-mining", "kernel_id": "101711605"}, {"ref": "khursani8/eedi-frequency-baseline-map-25-0-5977", "kernel_id": "109495465"}, {"ref": "khursani8/eedi-frequency-baseline-simple-script", "kernel_id": "109495809"}, {"ref": "khursani8/eedi-frequency-baseline", "kernel_id": "109495957"}, {"ref": "khursani8/eedi-improved-baseline", "kernel_id": "109498671"}, {"ref": "khursani8/eedi-improved-v2", "kernel_id": "109499192"}, {"ref": "khursani8/eedi-baseline-tf-idf", "kernel_id": "109472573"}, {"ref": "khursani8/eedi-baseline-tf-idf-v2", "kernel_id": "109472628"}, {"ref": "khursani8/eedi-baseline-tf-idf-v3", "kernel_id": "109472685"}, {"ref": "khursani8/eedi-baseline-tf-idf-retrieval", "kernel_id": "109472776"}, {"ref": "khursani8/eedi-exp-009-ensemble-submission", "kernel_id": "109614415"}, {"ref": "ugurhandasdemir/finetune-bge-embedding-model", "kernel_id": "115217389"}]}
{"competition_id": "82697", "kernels": []}
{"competition_id": "82703", "kernels": []}
{"competition_id": "82728", "kernels": []}
{"competition_id": "82751", "kernels": [{"ref": "gemmakim/cnn-baseline", "kernel_id": "61924712"}]}
{"competition_id": "82752", "kernels": []}
{"competition_id": "82753", "kernels": []}
{"competition_id": "82821", "kernels": [{"ref": "goncaloafonso23/notebook-bootcamp", "kernel_id": "62045008"}]}
{"competition_id": "82853", "kernels": [{"ref": "stefanneacsu/submission-ai-talent-hub", "kernel_id": "62822222"}]}
{"competition_id": "82857", "kernels": []}
{"competition_id": "82858", "kernels": []}
{"competition_id": "82885", "kernels": []}
{"competition_id": "82896", "kernels": []}
{"competition_id": "82913", "kernels": []}
{"competition_id": "82918", "kernels": []}
{"competition_id": "82922", "kernels": [{"ref": "adityaoz/notebookdc666f076e", "kernel_id": "62346707"}, {"ref": "lvlup765/flood-curse-using-linear-regression", "kernel_id": "62341740"}, {"ref": "simeonkandansonar/notebookd75ae47699", "kernel_id": "62306176"}, {"ref": "parth80/notebookf24ac0dec0", "kernel_id": "62382862"}, {"ref": "tanishqchandra1504/notebook46dd2e18d5", "kernel_id": "62292029"}, {"ref": "mpragnya/notebookdeaf572378", "kernel_id": "62351184"}, {"ref": "amanrahaman/notebook08600c2168", "kernel_id": "62370068"}]}
{"competition_id": "82925", "kernels": [{"ref": "escapelikeawind/porousityppt-kerastf-since-noob-pytorch", "kernel_id": "62283773"}, {"ref": "dylanyves/dlai8-porosity-baseline", "kernel_id": "62282463"}, {"ref": "pituchaimitpakdee/dlai8-eda-on-porosity-challenge", "kernel_id": "62279587"}]}
{"competition_id": "82926", "kernels": []}
{"competition_id": "82956", "kernels": []}
{"competition_id": "82985", "kernels": [{"ref": "profmanoela/dogs-vs-cats-complete", "kernel_id": "62455105"}, {"ref": "profmanoela/dogs-vs-cats", "kernel_id": "62835632"}, {"ref": "profmanoela/dogs-vs-cats-incomplete", "kernel_id": "75274254"}]}
{"competition_id": "82986", "kernels": [{"ref": "sayedgamal99/car-price-prediction", "kernel_id": "62658380"}, {"ref": "mhmdkardosha/second-stage-cat-competition-modeling", "kernel_id": "62503866"}, {"ref": "khaledzakarya/used-cars-data-cleaning-notebook", "kernel_id": "62502992"}, {"ref": "abdulrahmanelbaz/car-price-prediction", "kernel_id": "62466966"}, {"ref": "amirshaban/cat-carpriceprediction-cleaning", "kernel_id": "63283634"}]}
{"competition_id": "83035", "kernels": [{"ref": "hengck23/solution-from-chatgpt", "kernel_id": "72453273"}, {"ref": "hengck23/universal-adversarial-attacks-for-llm-judge", "kernel_id": "72694169"}, {"ref": "enriquebalp/max-score-is-30", "kernel_id": "72417825"}, {"ref": "taimour/gemma2-ai-essay-writer-fully-explained", "kernel_id": "72222364"}, {"ref": "evilpsycho42/lingua-py-how-to-get-english-language-confidence", "kernel_id": "72271258"}, {"ref": "yururoi/gemma2-2b-highest-or-lowest", "kernel_id": "72390075"}, {"ref": "slythe/baseline-gemma-2-0-prompt-engineering", "kernel_id": "72296101"}, {"ref": "slythe/gemma-2-0-prompt-engineering-tones-and-styles", "kernel_id": "72313484"}, {"ref": "samu2505/llms-youcan-tplease-riddle-like-v0", "kernel_id": "72674792"}, {"ref": "arman1611/llms-you-can-t-please-them-all", "kernel_id": "72264461"}, {"ref": "mpwolke/high-five-gemini", "kernel_id": "72210503"}, {"ref": "snufkin77/minimal-submission-notebook", "kernel_id": "72210724"}, {"ref": "hipparkarrahul18/generating-essays-using-llms-gemma-2", "kernel_id": "72323177"}, {"ref": "arminajdehnia/the-impact-of-prompt-style-on-model-performance", "kernel_id": "72226729"}, {"ref": "lenamdn/gemma-7b-v3-prompt-engineering", "kernel_id": "72543551"}, {"ref": "nischaydnk/gemma-2-baseline-generating-essays-w-llms", "kernel_id": "72210871"}, {"ref": "debarshichanda/gemma-2-naive-submission", "kernel_id": "72208905"}, {"ref": "debarshichanda/evaluation-metric-approx", "kernel_id": "72217514"}, {"ref": "jagatkiran/ycpta-vllm-qwen72b-int4", "kernel_id": "72314612"}, {"ref": "jagatkiran/ycpta-vllm-llama3-3-70b-awq", "kernel_id": "72454024"}, {"ref": "jagatkiran/vllm-starter-notebook-qwen32b-awq", "kernel_id": "72229036"}, {"ref": "jagatkiran/qwen14b-gen-evaluationapprox-logits-processor-zoo", "kernel_id": "72695995"}, {"ref": "msvrao/essaycode", "kernel_id": "72233968"}, {"ref": "hamdi619/gemma-2-baseline-generating-essays-w-llms", "kernel_id": "72406316"}, {"ref": "zshashz/gemma-7b-v3-prompt-engineering", "kernel_id": "72211358"}, {"ref": "zshashz/naive-baseline-unpleasing-llms-randomly", "kernel_id": "72208290"}, {"ref": "rahulsinghwaldia/llm-disagreement-model", "kernel_id": "72772877"}, {"ref": "divyanshdixit09/notebook55cbde5f4e", "kernel_id": "72543706"}, {"ref": "horikitasaku/gemma2-generating-and-eval", "kernel_id": "72222983"}, {"ref": "richolson/cpu-can-t-please-them-all-qwen-loves-gemma", "kernel_id": "72292168"}, {"ref": "shelterw/repeat-the-important-topics-three-times", "kernel_id": "72439950"}, {"ref": "dlondmike/llms-you-can-t-please-them-all-add-more-instructio", "kernel_id": "72286875"}, {"ref": "dlondmike/naive-try", "kernel_id": "72227558"}, {"ref": "afsanakabirsinthia12/notebook763b97e6e1", "kernel_id": "72825791"}, {"ref": "carlofoschi/best-votes-possible", "kernel_id": "72603370"}, {"ref": "abdullah0a/llms-essay-generator", "kernel_id": "72268657"}, {"ref": "yashchoudhary2oo5/notebookcf37a7c8f4", "kernel_id": "72903973"}, {"ref": "a14iiiii/generating-ielts-essay", "kernel_id": "72810607"}, {"ref": "marlonperaltamendoza/llm-evaluation-weakness-exploration", "kernel_id": "72335269"}, {"ref": "jiscecseaiml/llms-you-can-t-please-them-all", "kernel_id": "72237437"}, {"ref": "mahoshaldar/llmjudges", "kernel_id": "72506256"}, {"ref": "fuzaxia/llms-prompt-attack-testing", "kernel_id": "72366138"}, {"ref": "belhekarrupesh/llmjudgeexploittoolkit", "kernel_id": "72237593"}, {"ref": "toshi014/llama3-2-first-submission", "kernel_id": "72240802"}, {"ref": "baibhavkundu2005/llama-3-2-3b-instruct", "kernel_id": "72286664"}, {"ref": "zahidkola/llm-notebook", "kernel_id": "72229766"}, {"ref": "trixmixing1ai/exercise-your-first-machine-learning-model", "kernel_id": "72964319"}, {"ref": "juliasuchi/llms-you-can-t-please-them-all", "kernel_id": "72272814"}, {"ref": "matthieuouvrard/notebook80ed58c8fa", "kernel_id": "72911709"}, {"ref": "matthieuouvrard/notebook42e9a90947", "kernel_id": "72911801"}, {"ref": "matthieuouvrard/notebook139cfd219c-ilumnia", "kernel_id": "72884282"}, {"ref": "camurberkayy/writing-essay-w-llms-system-prompts-gemma2b-it", "kernel_id": "72230151"}, {"ref": "ppujari/notebook-llm-judge", "kernel_id": "73513731"}, {"ref": "bond005/attack-on-llm-as-judge", "kernel_id": "73783975"}, {"ref": "tivfrvqhs5/guiding-llm-outputs-multiplechoicelogitsprocessor", "kernel_id": "73162811"}, {"ref": "modmari/flip-a-coin", "kernel_id": "73389225"}, {"ref": "modmari/lb-0-00-empty-essays", "kernel_id": "73971752"}, {"ref": "manwithaflower/metrics-computation", "kernel_id": "73481473"}, {"ref": "carlosmatos97/llm-ycptall", "kernel_id": "73831803"}, {"ref": "lonnieqin/llms-with-qwen2-5-coder-14b", "kernel_id": "73899070"}, {"ref": "shashwatpatel/llm-works", "kernel_id": "73832912"}, {"ref": "noureddinebelmokhtar/llm-fan-t5", "kernel_id": "73201444"}, {"ref": "pipmos/white-boxing-attempt-to-calculate-score", "kernel_id": "73069929"}, {"ref": "jagatkiran/add-it-up-microsoft-phi-4-vllm", "kernel_id": "73964104"}, {"ref": "ramjasmaurya/unsuccessful-baseline-llm", "kernel_id": "73737335"}, {"ref": "huanligong/approx-metric-evaluation-for-local-test", "kernel_id": "73984673"}, {"ref": "jiprud/essays-simple-submission", "kernel_id": "73987278"}, {"ref": "himanshunakrani/gemma2-2b-short-essays", "kernel_id": "73610852"}, {"ref": "himanshunakrani/llama-3-2-short-essays", "kernel_id": "73570802"}, {"ref": "zhiyingtara/kaggle-llms", "kernel_id": "73673956"}, {"ref": "ahmedmaher22/llms-u-can-t-please-them-all", "kernel_id": "73042309"}, {"ref": "mnsultan01/notebook4bd4130466", "kernel_id": "73063205"}, {"ref": "alihaiderahmad/llms-i-can-fool-you", "kernel_id": "73434587"}, {"ref": "priyash07/simple-adversarial-prompting", "kernel_id": "73418975"}, {"ref": "priyash07/baseline-results-without-attack-gemma-2-2bit-it", "kernel_id": "73414163"}, {"ref": "lukmanaliyuj/llms-essay-generator", "kernel_id": "73316774"}, {"ref": "lukmanaliyuj/llama3-2-first-submission", "kernel_id": "73288609"}, {"ref": "lukmanaliyuj/using-gemini", "kernel_id": "73837714"}, {"ref": "atharva0577/output-variation-in-gemma", "kernel_id": "73427467"}, {"ref": "souradippal/three-llm-mixed-together", "kernel_id": "73855357"}, {"ref": "souradippal/evaluation-metric-approx", "kernel_id": "73670221"}, {"ref": "kawchar85/13-003-lb-add-it-up-for-two-judge", "kernel_id": "73376030"}, {"ref": "kawchar85/mash-it-up", "kernel_id": "73934139"}, {"ref": "souhillamarzouk/llms-com", "kernel_id": "73111840"}, {"ref": "ayushparwal/making-new-models", "kernel_id": "73854383"}, {"ref": "richolson/mash-it-up", "kernel_id": "73712551"}, {"ref": "richolson/the-worst-essay-ever-which-llms", "kernel_id": "73551617"}, {"ref": "richolson/what-s-your-cut-off-date-asking-for-a-friend", "kernel_id": "73336979"}, {"ref": "richolson/exploring-scoring-llms-you-can-t-please", "kernel_id": "73442783"}, {"ref": "richolson/add-it-up", "kernel_id": "73282789"}, {"ref": "richolson/phi-the-spicy-contrarian-few-shot", "kernel_id": "73010641"}, {"ref": "richolson/you-can-t-please-them-all-right-back-at-ya", "kernel_id": "73010918"}, {"ref": "adriansaezmartinez/smallthinker-3b-preview", "kernel_id": "73969033"}, {"ref": "baivabmukhopadhyay/12-851-lb-add-it-up-for-two-judge-test", "kernel_id": "73712505"}, {"ref": "baivabmukhopadhyay/gemma-2-baseline-generating-essays-w-llms", "kernel_id": "73867697"}, {"ref": "karandeepsinghsodhi/fine-tuning-phi", "kernel_id": "73394935"}, {"ref": "piyushmondal/emotional-judges", "kernel_id": "73760756"}, {"ref": "whpcanamarijasokovic/anam-test1", "kernel_id": "73967136"}, {"ref": "hejuncheung/model-gemma2-2b-generation", "kernel_id": "73403798"}, {"ref": "therealeye/piyush-subinoy-da", "kernel_id": "73742183"}, {"ref": "therealeye/13-003-lb-add-it-up-for-two-judge", "kernel_id": "73722125"}, {"ref": "therealeye/3-46-lb-qwen14b-gen-evaluationapprox-upda-3e4211", "kernel_id": "73644702"}, {"ref": "therealeye/gemma2-2b-highest-or-lowest", "kernel_id": "73829241"}, {"ref": "therealeye/gemma-2-baseline-generating-essays-w-llms", "kernel_id": "73866551"}, {"ref": "therealeye/white-boxing-attempt-to-calculate-score", "kernel_id": "73590637"}, {"ref": "bahaaltanreisolu/second-step-gemma", "kernel_id": "73628934"}, {"ref": "bahaaltanreisolu/first-step", "kernel_id": "73585628"}, {"ref": "mohdramlanbinmroslan/notebook0ceaffe4da", "kernel_id": "73791736"}, {"ref": "tamyuanqing/prompt-generate-test", "kernel_id": "73857446"}, {"ref": "ghislaindelabie/starting-point-setup", "kernel_id": "73960881"}, {"ref": "bond005/arithmetic-problems-with-jailbreaking", "kernel_id": "74221441"}, {"ref": "bond005/arithmetic-problems", "kernel_id": "74060618"}, {"ref": "naka84/lb-4-075-baseline-wihout-llm", "kernel_id": "74779512"}, {"ref": "modmari/lb-0-675-randint-0-9", "kernel_id": "74018466"}, {"ref": "mseslami/taken", "kernel_id": "74400956"}, {"ref": "addi11/simple-submission-llms-cant-please-them-all", "kernel_id": "74377858"}, {"ref": "palash97/phi-3-5-mini-instruct-starter-code", "kernel_id": "74009252"}, {"ref": "tom99763/llm-works", "kernel_id": "74855242"}, {"ref": "lonnieqin/llms-with-smallthinker-3b-preview", "kernel_id": "74466897"}, {"ref": "leetolo/reddit-essay-load-simple", "kernel_id": "74881843"}, {"ref": "leetolo/simple-lora-train-failed-example", "kernel_id": "74928616"}, {"ref": "olegzadneprovskyi/mash-it-up", "kernel_id": "74151334"}, {"ref": "jagatkiran/3rd-place-lang-attacks-verify", "kernel_id": "74493304"}, {"ref": "huanligong/evaluationapprox-logits-processor-zoo", "kernel_id": "74721776"}, {"ref": "cemalemrealbayrak/qwen-2-5-14b-instruct-awq-vllm", "kernel_id": "74151254"}, {"ref": "jiprud/llms-essays-first-steps-with-gemma", "kernel_id": "74261920"}, {"ref": "chanchal24/mental-health-chatbot", "kernel_id": "74508973"}, {"ref": "kawchar85/mash-it-up-dynamic-seed", "kernel_id": "74498146"}, {"ref": "matthewsfarmer/self-eval-llm-judges-gemini-and-openai-api", "kernel_id": "74011299"}, {"ref": "sumaiyasalekin/trial-with-gemma", "kernel_id": "74391963"}, {"ref": "rashimishra19/llms-essay-provoker", "kernel_id": "74023427"}, {"ref": "zhengzong233/llms-like-what-style-profession-emotion", "kernel_id": "74747636"}, {"ref": "sunnyvarnawal/without-llms-judge", "kernel_id": "74865986"}, {"ref": "atefemahdaviadel/llm-competition-baseline-model", "kernel_id": "74209359"}, {"ref": "a14iiiii/private-lb-24-solution-random-words-injection", "kernel_id": "74248172"}, {"ref": "zeinabbeigi/llm-hack", "kernel_id": "74598047"}, {"ref": "samarthpujari/llms-you-can-t-please-them-all", "kernel_id": "74285579"}, {"ref": "samarthpujari/llm-judge-disagreement-competition", "kernel_id": "74263473"}, {"ref": "fuzaxia/5h-infer-llms-rewrite-essays-starter", "kernel_id": "74839691"}, {"ref": "pepushi/tried-phi-4-gemma-2-9b-it", "kernel_id": "74936438"}, {"ref": "eucee00/gemllamatic", "kernel_id": "74291598"}, {"ref": "hosseinbahraminekoo/llm-ucantplsthmall", "kernel_id": "74732000"}, {"ref": "shodaifuruya/tried-deepseek-r1-phi-4-gemma-2-9b-it", "kernel_id": "74519998"}, {"ref": "mahdibayanloo/final-mahdi", "kernel_id": "74528726"}, {"ref": "mahdibayanloo/high-score-revision", "kernel_id": "74812320"}, {"ref": "ybshankar010/llm-judge", "kernel_id": "75332819"}, {"ref": "praveenkaushik80/llms-deepseek", "kernel_id": "75876792"}, {"ref": "wjones3668/llms-you-can-t-please-them-all", "kernel_id": "75424998"}, {"ref": "muhammadbazm/simple-guess", "kernel_id": "75297361"}, {"ref": "stpeteishii/topic-to-essay-flan-t5-zero-shot-predict-wo-int", "kernel_id": "75248034"}, {"ref": "javihm77/llm-judges-with-mistral-7b-instruct-ipynb", "kernel_id": "75033976"}, {"ref": "dedquoc/generating-essays-with-llms", "kernel_id": "75556960"}, {"ref": "johnsonhk88/llm-generate-good-essay", "kernel_id": "75300123"}, {"ref": "lonnieqin/llms-with-deepseek-r1-distill-qwen-7b", "kernel_id": "75155017"}, {"ref": "leetolo/simple-lora-revised-2", "kernel_id": "75743940"}, {"ref": "githendumukiri/llama-3-2-3b", "kernel_id": "75328346"}, {"ref": "ginnguo/ece324-prompt-engineered-essay-generation", "kernel_id": "75144022"}, {"ref": "skittlegod/deepseek-r1-distill-qwen-14b-loading-and-querying", "kernel_id": "75518115"}, {"ref": "aadyamadankar/prompt-variation", "kernel_id": "75947071"}, {"ref": "aadyamadankar/llm-judge", "kernel_id": "75470604"}, {"ref": "nakagawaren0805/gbpromptmaker", "kernel_id": "75788368"}, {"ref": "dennycheong/prototype-2", "kernel_id": "75445986"}, {"ref": "harutokotou/model-construction", "kernel_id": "75145427"}, {"ref": "shuvosaha1234/llms-with-smallthinker", "kernel_id": "75249425"}, {"ref": "cf33333/gogogo", "kernel_id": "75196491"}, {"ref": "sunnyvarnawal/llms-judge", "kernel_id": "75072312"}, {"ref": "anshulm257/writing-to-divide-the-ai-judgement", "kernel_id": "75052773"}, {"ref": "atefemahdaviadel/llm-competition-solution", "kernel_id": "75573437"}, {"ref": "atefemahdaviadel/essaygenerator", "kernel_id": "75334968"}, {"ref": "ashsweet119/llm-cantpleaseall-essay", "kernel_id": "75588924"}, {"ref": "laicheukfung/generate-random-essays-for-given-topics-using-gpt2", "kernel_id": "75378883"}, {"ref": "elifgyuler/llm-competition", "kernel_id": "75159094"}, {"ref": "shraddhasingh1205/you-can-t-please-them", "kernel_id": "75632999"}, {"ref": "britishsamurai/t5-small", "kernel_id": "75246495"}, {"ref": "mah20050/predict-text-type-4", "kernel_id": "75350503"}, {"ref": "mahdibayanloo/fork-of-mash-it-up-revision", "kernel_id": "75185054"}, {"ref": "ohhooo/evaluation-metric-approx", "kernel_id": "75455624"}, {"ref": "finlay/llm-local-eval", "kernel_id": "76376071"}, {"ref": "rupeshwadibhasme/world-of-thoughts", "kernel_id": "76288398"}, {"ref": "praveenkaushik80/llm-phi", "kernel_id": "76248843"}, {"ref": "praveenkaushik80/llm-mash-it-up", "kernel_id": "76464596"}, {"ref": "bigkizd/llm-langchain-baseline", "kernel_id": "76131475"}, {"ref": "sungwu/llm-fine-tuning", "kernel_id": "76293149"}, {"ref": "jjbmsda/llms-joseph", "kernel_id": "76571512"}, {"ref": "jiprud/essays-keep-it-simple", "kernel_id": "76374765"}, {"ref": "tmsuika/private-lb-53th-solution-customized-choice", "kernel_id": "76752671"}, {"ref": "ducnh279/grpo-train-reasoning-model", "kernel_id": "76371246"}, {"ref": "bestwater/fork-of-essays-simple-submission-try-more", "kernel_id": "76832187"}, {"ref": "aadyamadankar/essays", "kernel_id": "76849973"}, {"ref": "cavenightingale/fork-of-notebookfcadc27208", "kernel_id": "76562550"}, {"ref": "xunaha/essays-simple-submission", "kernel_id": "76736153"}, {"ref": "japanesetanuki/private-18th-solution-code-attack", "kernel_id": "76871185"}, {"ref": "ruwadnaswan/notebookf83acad90a", "kernel_id": "76685706"}, {"ref": "zhengzong233/update-auto-attack-prompt-gcg", "kernel_id": "76359719"}, {"ref": "hahahaj/essays-simple-solution", "kernel_id": "76776240"}, {"ref": "michael1o2/essays-submission", "kernel_id": "76891101"}, {"ref": "muhammadameenbohio/simple-prompt-engineering-with-mistral-lb-8-366", "kernel_id": "76093445"}, {"ref": "aidaabd96/the-art-of-confusing-ai-a-secret-strategy", "kernel_id": "76887512"}, {"ref": "aniruddhmubayi/submission", "kernel_id": "76890148"}, {"ref": "pepushi/mistral-7b-sample", "kernel_id": "76435765"}, {"ref": "pepushi/ul2-default-v2", "kernel_id": "76434796"}, {"ref": "pepushi/gpt2-epoch1", "kernel_id": "76118634"}, {"ref": "keithingss/64th-mixed-attacks", "kernel_id": "76948648"}, {"ref": "andricmartinez/essays-simple-submission", "kernel_id": "76017569"}, {"ref": "andricmartinez/gogogo", "kernel_id": "76017697"}, {"ref": "amnahassan04/generating-essays-using-phi-3-5-mini-instruct", "kernel_id": "76009576"}, {"ref": "thkaminuma/simplesubmission-myadjustments-to-the-original", "kernel_id": "76734120"}, {"ref": "roshaw/mash-it-up-dynamic-seed", "kernel_id": "76037051"}, {"ref": "sanyogsharma073/mash-it-up-dynamic-seed", "kernel_id": "76707609"}, {"ref": "ojaswavarshney/notebookd70e32a870", "kernel_id": "76346583"}, {"ref": "zacharyzhang001/notebook9760c62612", "kernel_id": "76075195"}, {"ref": "shivamreturns/fork-of-fork-of-fork-of-fork-of-fork-of-for-50a4f3", "kernel_id": "77754268"}, {"ref": "praveenkaushik80/essays-simple-submissionnew", "kernel_id": "77774642"}, {"ref": "krishm/ollama-for-llm-judge", "kernel_id": "77118554"}, {"ref": "krishm/adversarial-attacks-on-mistral", "kernel_id": "77321134"}, {"ref": "suicaokhoailang/candidate-1", "kernel_id": "77711198"}, {"ref": "gerwynng/seed-shuffle-split-simulation-of-public-lb", "kernel_id": "77040004"}, {"ref": "javihm77/essays-simple-submission-601ab1", "kernel_id": "77024714"}, {"ref": "takuji/reproduce-essays-simple-submission", "kernel_id": "77044961"}, {"ref": "dedquoc/llms-you-can-t-please-them-all-example-essay", "kernel_id": "77370527"}, {"ref": "conormacamhlaoibh/5th-place-llms-ycpta", "kernel_id": "77908290"}, {"ref": "chrysanthidoxa/notebook-llms-you-cant-please-them-all", "kernel_id": "77046157"}, {"ref": "huanligong/perfect-score-solution", "kernel_id": "77967853"}, {"ref": "jiprud/42th-27-085-essays", "kernel_id": "77925299"}, {"ref": "mutoy1/lb22-946-essays-simple-submission", "kernel_id": "77436384"}, {"ref": "budivoy/llms-ycnptal-english-quality-metrics-simmulation", "kernel_id": "77481116"}, {"ref": "furkanbayndr/66th-place-solution-for-the-llms-you-can-t-please", "kernel_id": "77123640"}, {"ref": "dimansinghahirwar/llms-deepseek-r1", "kernel_id": "77379064"}, {"ref": "yamagatafairy96/85th-private-23-840", "kernel_id": "77926725"}, {"ref": "quannguyn12/essays-simple-submission-5b144c", "kernel_id": "77014092"}, {"ref": "billalpervaz/exploiting-lightweight-gpts-to-manipulate-ranking", "kernel_id": "77579645"}, {"ref": "haoranran/lb22-766-essays-simple-submission", "kernel_id": "77291700"}, {"ref": "cf33333/essays-simple-submission-6e91d8", "kernel_id": "77272897"}, {"ref": "nicholas33/ai-adversarial-attack-grading-systems-nb153", "kernel_id": "77948774"}, {"ref": "arpit1bansal/better-working-but-couldn-t-submit", "kernel_id": "77607954"}, {"ref": "arpit1bansal/ensemble-llms-without-token-level-injection", "kernel_id": "77619215"}, {"ref": "desolade/32th-28-150", "kernel_id": "77881193"}, {"ref": "jtianyu/mash-it-up", "kernel_id": "77123191"}, {"ref": "pepushi/essays-simple-submission-7fd3e0", "kernel_id": "77183901"}, {"ref": "pepushi/essays-simple-submission-2a3792-b34b1e", "kernel_id": "77414878"}, {"ref": "crescent97/essays-simple-submission", "kernel_id": "77095446"}, {"ref": "ziqiyang04/trying-different-seeds", "kernel_id": "77341166"}, {"ref": "ssrinivas1001/allmix", "kernel_id": "77019303"}, {"ref": "gerwynng/11th-llms-you-cant-please-them-all", "kernel_id": "78099726"}, {"ref": "sash2104/llms-ycpta-probing-partition", "kernel_id": "78605180"}, {"ref": "ginnguo/ece324-essay-generation-pipeline", "kernel_id": "78253507"}, {"ref": "dettki/llm-approach", "kernel_id": "78079680"}, {"ref": "boring1110/private-lb-23-647-myrecord", "kernel_id": "78029818"}, {"ref": "ig0yss/evaluation", "kernel_id": "78204699"}, {"ref": "radwankhondokar/confusing-llms-with-adversial-inputs", "kernel_id": "79572480"}, {"ref": "guoooooooss/local-evaluation", "kernel_id": "79381537"}, {"ref": "jaysurender/notebook0b15845c7f", "kernel_id": "79762609"}, {"ref": "ig0yss/evaluation-latest", "kernel_id": "79657322"}, {"ref": "mogomaa79/llm-generate-good-essay", "kernel_id": "81574212"}, {"ref": "willongwang/llms-you-can-t-best", "kernel_id": "81772554"}, {"ref": "tijuvarghese2018/ycpta-vllm-llama3-3-70b-awq", "kernel_id": "84809838"}, {"ref": "lonnieqin/llms-with-qwen3-4b-instruct-2507", "kernel_id": "93771402"}, {"ref": "misterfour/adversarial-essay-generation-for-llms-judge", "kernel_id": "95619774"}]}
{"competition_id": "83058", "kernels": []}
{"competition_id": "83098", "kernels": [{"ref": "mayank03/reading-the-data", "kernel_id": "62530633"}, {"ref": "meghaiiitb/megha-spaceship-titanic", "kernel_id": "62865419"}, {"ref": "syamsundarchegu/syamsundar-space-titanic", "kernel_id": "62746116"}, {"ref": "shivpoojanverma/shivpoojan-titanic-spaceship", "kernel_id": "62790656"}, {"ref": "chrisstarsky/feature-engineering-reference", "kernel_id": "62562021"}, {"ref": "krishnats26/krishna-ts-spaceship-titanic", "kernel_id": "62903871"}, {"ref": "axlaamcqadirmaxamud/spaceship2-mor", "kernel_id": "67838670"}, {"ref": "carlosmatos97/spaceshiptitanic", "kernel_id": "73203090"}, {"ref": "rivinduashinsa/spaceship-titanic-competition", "kernel_id": "73769647"}, {"ref": "t0kyolover/t0kylover-spaceship-titanic", "kernel_id": "73314190"}, {"ref": "miniredtrout/homework-1-2", "kernel_id": "92343877"}, {"ref": "payalkarnavat/titanic-spacessss", "kernel_id": "93181322"}]}
{"competition_id": "83103", "kernels": []}
{"competition_id": "83114", "kernels": []}
{"competition_id": "83199", "kernels": []}
{"competition_id": "83207", "kernels": []}
{"competition_id": "83268", "kernels": []}
{"competition_id": "83274", "kernels": []}
{"competition_id": "83277", "kernels": []}
{"competition_id": "83278", "kernels": []}
{"competition_id": "83284", "kernels": [{"ref": "shaoon/regression-with-a-crab-age", "kernel_id": "63132535"}]}
{"competition_id": "83285", "kernels": []}
{"competition_id": "83313", "kernels": []}
{"competition_id": "83314", "kernels": []}
{"competition_id": "83315", "kernels": []}
{"competition_id": "83316", "kernels": []}
{"competition_id": "83317", "kernels": [{"ref": "titericz/gpu-pandas", "kernel_id": "64830992"}, {"ref": "regisvargas/resnet-50-approach", "kernel_id": "64519510"}, {"ref": "regisvargas/convolution-in-code", "kernel_id": "64396892"}, {"ref": "aninda/internal-waves-fastai", "kernel_id": "65336934"}, {"ref": "emanucc/internal-waves-yolo", "kernel_id": "65586437"}, {"ref": "sasamisfriend/automatic-identification-of-internal-waves", "kernel_id": "66824223"}, {"ref": "ryoya777/automatic-identification-of-internal-waves-ry2", "kernel_id": "67307655"}]}
{"competition_id": "83326", "kernels": []}
{"competition_id": "83327", "kernels": []}
{"competition_id": "83337", "kernels": []}
{"competition_id": "83341", "kernels": []}
{"competition_id": "83343", "kernels": []}
{"competition_id": "83432", "kernels": [{"ref": "yunwoooh/notebookb45bdf6d8a", "kernel_id": "63816558"}, {"ref": "axdegree/notebookf6a27766e6", "kernel_id": "63128128"}]}
{"competition_id": "83459", "kernels": [{"ref": "sayfulislomkhan/serroz-prediction", "kernel_id": "78016018"}, {"ref": "sardorbektech/sirroz-stacking", "kernel_id": "78477936"}, {"ref": "murodovyusufbek/seroz-prediction-mohirdev", "kernel_id": "78174630"}, {"ref": "boburabdullayev/notebook5645838deb", "kernel_id": "78701612"}, {"ref": "abduraaahim/survival-rate-of-cirrhosis-patients", "kernel_id": "79939980"}, {"ref": "zukhriddinm/notebooka2de0df699", "kernel_id": "80204732"}, {"ref": "xojamqulovabdulaziz/liver-cirrhosis-pred", "kernel_id": "81688302"}, {"ref": "sidneyno1/kassalikni-aniqlash-sirroz", "kernel_id": "81932595"}, {"ref": "azizjonbahromov/serroz-prediction", "kernel_id": "81578164"}, {"ref": "ruxshonasuyunova/cirrhosis-patient-survial", "kernel_id": "81860058"}, {"ref": "javlonbekshukurov/survival-prediction-for-cirrhosis-patients", "kernel_id": "81355674"}, {"ref": "ikromorozov/orozov-ikrom-cirrhosis-patient-survival-prediction", "kernel_id": "82756463"}, {"ref": "qodirberganovasadbek/sirroz-bemorlarning-omon-qolish-prognozini-aniqlas", "kernel_id": "82421195"}, {"ref": "asilbekjon/cirrhosis-predict", "kernel_id": "82899287"}, {"ref": "aabdurazzoq/sirroz", "kernel_id": "82733841"}, {"ref": "abduraaahim/surviving-rate-of-cirrhosis-patients", "kernel_id": "82136501"}, {"ref": "sherzodsulaymonov/sirroz-bemorlar-omon-qolish-prognozi2", "kernel_id": "83086492"}, {"ref": "jamshidbekshokirov/sirroz", "kernel_id": "83529725"}, {"ref": "doniyortursunboyev/serrozkassaligi", "kernel_id": "83796882"}, {"ref": "jurabekturaev/sirroz-kassaligli-tashxisi", "kernel_id": "83204384"}, {"ref": "komronqayumov/survival-prediction-for-patients-with-cirrhosis", "kernel_id": "84647757"}, {"ref": "ozodaizzatillaeva/sirroz-prognoz", "kernel_id": "85714093"}, {"ref": "dostonubaydullayev/cirrhosis-patient-survial", "kernel_id": "86603182"}, {"ref": "azamath1/sirroz-model", "kernel_id": "87542505"}, {"ref": "oybekburxonov/notebook1c5fefd036", "kernel_id": "87065978"}, {"ref": "muhammadmurodov/notebookeefce81c37", "kernel_id": "88151523"}, {"ref": "muslimmr/sirroz-omon-qolish-prognozi", "kernel_id": "89874114"}, {"ref": "mardonaurolboeva/cirrhosis-patient-survival-prediction", "kernel_id": "91800080"}, {"ref": "shahruzsayfulloyev/siroz-aniqlash", "kernel_id": "93428380"}, {"ref": "dostonbekmavlonov/sirroz-bemorlarini-omon-qolish-prognozini-aniqlsh", "kernel_id": "95590144"}, {"ref": "fazliddinazizov/sirroz-bemorlarining-omon-qolishi", "kernel_id": "102691388"}, {"ref": "jozibaabdullayeva/sirroz-bemorlarning-omon-qolish-prognozini-aniqlas", "kernel_id": "107846309"}, {"ref": "jahongirtuychiyev/sirroz-bemorlar-omon-qolish-prognoz", "kernel_id": "108034813"}, {"ref": "javohirumarxonov/cirrhosis-patient-survival-rate", "kernel_id": "109388750"}, {"ref": "dildoratoxtasinova/cirrhosis-survival-prediction-amaliyot", "kernel_id": "110829525"}, {"ref": "saidakbarnematov/cirrhosis-curvival-prediction", "kernel_id": "111713920"}, {"ref": "akmalrasul/sirroz-bemorlarini-aniqlash", "kernel_id": "112323896"}, {"ref": "anvarxudoyberdiyev/notebook7920780cef", "kernel_id": "112397520"}, {"ref": "ulugbekarziqulov/sirroz-bemorlarning-omon-qolish-prognozi", "kernel_id": "112063786"}, {"ref": "diyorislomov/sirroz-bemorlari-omon-qolish-prognozini-aniqlash", "kernel_id": "114832719"}, {"ref": "erkinjontulkinov/prognosis-cirrhosis", "kernel_id": "117378494"}, {"ref": "snormatoff/sirroz-bemorlarini-omon-qolish-ehtimolini-aniqlash", "kernel_id": "119669776"}, {"ref": "jakhongir2021/notebook2c551d91da", "kernel_id": "121409059"}, {"ref": "shakhobiddindanaev/jigar-sirrozi", "kernel_id": "122971626"}, {"ref": "neugomonii/fayziev-aziz", "kernel_id": "122275452"}, {"ref": "olorad/khushnud-s-project2", "kernel_id": "127028952"}, {"ref": "beksarvar/mohirdev-prakticum-serroz-prediction", "kernel_id": "128381287"}, {"ref": "husanjonkamolov/sirroz-bemorlarning-omon-qolishi", "kernel_id": "128441116"}, {"ref": "ardin7/jigar-tashxis", "kernel_id": "129679360"}, {"ref": "dilshod991/cirrhosis", "kernel_id": "130446175"}, {"ref": "abduazizibragimov/sirroz-bemorlari-omon-qolish-prognozini-aniqlash", "kernel_id": "132058307"}, {"ref": "azamatshormanov/azamat-shormanov-2", "kernel_id": "132312933"}, {"ref": "iskandarmirzahmedov/notebookb6dfc34d88", "kernel_id": "132047269"}, {"ref": "sarvarabduqodirov/sirroz-bemorlari-omon-qolish-prognozini-aniqlash", "kernel_id": "135116461"}]}
{"competition_id": "83470", "kernels": [{"ref": "mhamedadnan/heart-diseases-predictions", "kernel_id": "64203955"}]}
{"competition_id": "83481", "kernels": [{"ref": "gradoj/explore-iotpoc", "kernel_id": "63383153"}, {"ref": "gradoj/baselines", "kernel_id": "64724476"}, {"ref": "gradoj/nearest", "kernel_id": "64591741"}, {"ref": "gradoj/center", "kernel_id": "64522285"}, {"ref": "gradoj/twostage-distance", "kernel_id": "65182848"}]}
{"competition_id": "83488", "kernels": []}
{"competition_id": "83490", "kernels": []}
{"competition_id": "83494", "kernels": []}
{"competition_id": "83495", "kernels": []}
{"competition_id": "83504", "kernels": [{"ref": "timelfrink/pitch-visualization", "kernel_id": "63540021"}, {"ref": "nickwan/the-benchmark-solution", "kernel_id": "63240812"}, {"ref": "rtedesco1197/gpt-powered-ai-baseball-predictions", "kernel_id": "63631458"}, {"ref": "bobblee/new-batted-balls-digging", "kernel_id": "63335376"}, {"ref": "huntingdata11/getting-started-with-optuna-and-catboost", "kernel_id": "63370939"}, {"ref": "jimgruman/don-t-let-the-fear-of-striking-out-hold-you-back", "kernel_id": "63484653"}, {"ref": "tindata/cb-no-training-slow-eta-as-usual", "kernel_id": "63266667"}, {"ref": "derikvo/use-rng-to-win-kaggle-competitions", "kernel_id": "63259383"}, {"ref": "lokiville/2nd-notebook", "kernel_id": "63737029"}, {"ref": "datalab351/impact-is-better-than-importance", "kernel_id": "64305069"}, {"ref": "jbomitchell/extra-trees-hit-prediction", "kernel_id": "64901023"}, {"ref": "nickwan/baseball-feature-engineering-ssw-and-py-residual", "kernel_id": "65634410"}, {"ref": "thiagomantuani/predict-hits-with-new-mlb-get-started-here", "kernel_id": "65542067"}, {"ref": "seanfector/introducing-slap", "kernel_id": "65617627"}, {"ref": "ronitkadakia/my-work", "kernel_id": "65339468"}, {"ref": "ccollins/spray-angle-eda", "kernel_id": "66412496"}, {"ref": "joeleonard/uva-stats-submission", "kernel_id": "66515999"}, {"ref": "joebino/precognition-is-all-you-need", "kernel_id": "66783809"}, {"ref": "joebino/teams-batters-pitchers", "kernel_id": "66321237"}, {"ref": "roykrishnan/finalsubmission", "kernel_id": "66790378"}, {"ref": "maxwellresnick/predicting-batted-ball-outcomes", "kernel_id": "67282098"}, {"ref": "larryjiang07/features-importances-in-predicting-batted-ball-out", "kernel_id": "67164669"}]}
{"competition_id": "83535", "kernels": [{"ref": "draspopov/baseline-module2", "kernel_id": "63459482"}, {"ref": "draspopov/module3", "kernel_id": "63460329"}, {"ref": "draspopov/baseline2-module3", "kernel_id": "63460672"}, {"ref": "draspopov/module2-models", "kernel_id": "63459166"}, {"ref": "draspopov/evaluating", "kernel_id": "63451405"}, {"ref": "draspopov/module2-data-analysis", "kernel_id": "63451665"}, {"ref": "draspopov/nn-ae", "kernel_id": "63450566"}, {"ref": "draspopov/ae-lstm", "kernel_id": "63450649"}, {"ref": "draspopov/nn-lstm", "kernel_id": "63450698"}, {"ref": "draspopov/cnn-ae", "kernel_id": "63450439"}, {"ref": "draspopov/scripts-src", "kernel_id": "63450779"}, {"ref": "draspopov/utils-new", "kernel_id": "63450850"}, {"ref": "igormio/baseline-module2-35a3a9", "kernel_id": "63653713"}, {"ref": "igormio/module2-models-6ba5a3", "kernel_id": "63652886"}, {"ref": "igormio/baseline-module2", "kernel_id": "63560322"}]}
{"competition_id": "83554", "kernels": []}
{"competition_id": "83557", "kernels": []}
{"competition_id": "83558", "kernels": []}
{"competition_id": "83562", "kernels": []}
{"competition_id": "83574", "kernels": []}
{"competition_id": "83633", "kernels": [{"ref": "clementhinderer/basic-visualization", "kernel_id": "68075234"}]}
{"competition_id": "83684", "kernels": []}
{"competition_id": "83735", "kernels": [{"ref": "vbookshelf/chat-with-an-arxiv-html-paper-w-gemini-1-5-flash", "kernel_id": "64394646"}, {"ref": "paultimothymooney/how-to-upload-large-files-to-gemini-1-5", "kernel_id": "67937233"}, {"ref": "jasonkarpeles/ai-medical-researcher-mlrag", "kernel_id": "68940776"}, {"ref": "rishirajacharya/legal-ai-assistant-for-india-s-new-laws", "kernel_id": "68114595"}, {"ref": "bevenky/gemini-1-5-for-ultrasound-tumor-analysis", "kernel_id": "68076634"}, {"ref": "rainey/google-gemini-long-context-competition-entry", "kernel_id": "68501382"}, {"ref": "bigdataanalysis1/canadian-parliament-debates", "kernel_id": "68491855"}, {"ref": "bigdataanalysis1/corporate-investment-information-extraction", "kernel_id": "68041115"}, {"ref": "mihir2891/long-form-summarization-cot-llm-as-judge-eval", "kernel_id": "68881562"}, {"ref": "jpanvel/ipscore-evaluation-with-gemini-1-5", "kernel_id": "68888926"}, {"ref": "rdcolema/gemini-1-5-for-job-seekers", "kernel_id": "68348427"}, {"ref": "akshayraman/understanding-india-s-union-budget-with-gemini1-5", "kernel_id": "68425997"}, {"ref": "anirbank/queryimagesusinggemini", "kernel_id": "68129841"}, {"ref": "georgepopescuc92/truthscope", "kernel_id": "68503784"}, {"ref": "pklim101/qa-for-long-text", "kernel_id": "68086455"}, {"ref": "samu2505/geminixradiology", "kernel_id": "68391367"}, {"ref": "tomthescientist/sentiment-analysis-across-data-sources-gemini-1-5", "kernel_id": "68333154"}, {"ref": "mpwolke/gemini-s-thirst-for-knowledge", "kernel_id": "68367202"}, {"ref": "mpwolke/spider-gemini-across-the-spider-flashapiverse", "kernel_id": "68110104"}, {"ref": "goodship100/ai-powered-legal-and-philosophical", "kernel_id": "68226827"}, {"ref": "staratnyte/gemini-1-5-for-movie-sequel-generation", "kernel_id": "68046400"}, {"ref": "diebosal/gemini-video-highlights", "kernel_id": "68668568"}, {"ref": "johnsonhk88/google-gemini-for-video-conference-assistance", "kernel_id": "68550383"}, {"ref": "bogdancalin/analyzing-wordpress-hack-logs-with-gemini", "kernel_id": "68400504"}, {"ref": "anirudhapraveen/wikibrain", "kernel_id": "68408664"}, {"ref": "advaitchalke/deciphering-lost-languages", "kernel_id": "68759815"}, {"ref": "israb006/family-genome-analysis-using-gemini-1-5-flash", "kernel_id": "68483628"}, {"ref": "fernandosr85/gemtube-analyzer", "kernel_id": "68042640"}, {"ref": "anilalapati/unveiling-youtube-channel-trends-with-gemini-ai", "kernel_id": "68578986"}, {"ref": "tomaszszyrowski/fake-news-analysis-part1", "kernel_id": "68696551"}, {"ref": "peterroshdy/youtube-watch-history-analysis-using-gemini-1-5", "kernel_id": "68359481"}, {"ref": "regisvargas/automating-academic-review-generation", "kernel_id": "68115748"}, {"ref": "joshuaakinleye/ultra-advanced-literature-novel-analyst-creator", "kernel_id": "68371165"}, {"ref": "mitjam/gemini-as-video-analyzing-productivity-coach", "kernel_id": "68559151"}, {"ref": "nehadas55/historical-evolution-of-scientific-literature", "kernel_id": "68436547"}, {"ref": "maverickss26/comprehensive-genome-analysis-using-gemini-1-5", "kernel_id": "68868370"}, {"ref": "maverickss26/comprehensive-codebase-analysis-and-documentation", "kernel_id": "68099912"}, {"ref": "guaravbansal/sentiment-analysis-yt-video", "kernel_id": "68753995"}, {"ref": "curiosityquotient/bias-detection-in-uk-public-inquiries", "kernel_id": "68209205"}, {"ref": "kaispr/llm-meets-bse-decoding-indian-stocks-with-gemini", "kernel_id": "68427629"}, {"ref": "shunyatsunami/get-deep-insight-for-npb-in-2024", "kernel_id": "68914563"}, {"ref": "srishrachamalla7777/telphone-dir-stress", "kernel_id": "68856918"}, {"ref": "crsuthikshnkumar/google-gemini-ai-cyber-security-analyst-crsk", "kernel_id": "68275814"}, {"ref": "chanpreetsingh07/original-music-composition-tester", "kernel_id": "68402595"}, {"ref": "ashokkrish/gemini-assistant-for-youtube", "kernel_id": "68344745"}, {"ref": "adityadurugkar/videodigestor-long-video-q-a-and-summarizer", "kernel_id": "68107512"}, {"ref": "kishanvavdara/gemini-for-youtube-videos", "kernel_id": "68074590"}, {"ref": "pragyanandsaho/how-to-use-context-caching", "kernel_id": "68073282"}, {"ref": "kane0068/research-assistant", "kernel_id": "68511294"}, {"ref": "syemahmood226/gemini-hypothesis-in-biomarkers", "kernel_id": "68609151"}, {"ref": "sergeinull/gemini-proverbs-analysis", "kernel_id": "68125614"}, {"ref": "tanmayikona/gemini-as-music-composer", "kernel_id": "68669722"}, {"ref": "meetrais/toastmaster-competition-ai-judge-google-gemini", "kernel_id": "68109671"}, {"ref": "smarttech237/explore-more-gain-more-with-2-m-context-window", "kernel_id": "68487097"}, {"ref": "eugeniokukes/long-context-qa-text-to-speech", "kernel_id": "68038877"}, {"ref": "tommymscs/gemini-1-5-for-multi-article-sentiment-analysis", "kernel_id": "68353369"}, {"ref": "alexwycoff/academic-research-with-gemini", "kernel_id": "68887778"}, {"ref": "samueljohnsiby5/gitinsight-git-commit-history-analyzer", "kernel_id": "68435973"}, {"ref": "waheedhussain2/book-insights-ai-intelligent-q-a-for-pdf-document", "kernel_id": "68691763"}, {"ref": "beastgokul/structured-data-generator-using-gemini", "kernel_id": "68852765"}, {"ref": "maheswarin210742/surgical-video-analysis", "kernel_id": "68868987"}, {"ref": "yash3056/gemini", "kernel_id": "68858554"}, {"ref": "ititsam/k-pop-lyrics-interpretation-apt-rose", "kernel_id": "68894031"}, {"ref": "sumanyuanand/project-documentation-generator-with-google-gemini", "kernel_id": "68097605"}, {"ref": "cerveau70/notebookf08e69a0bf", "kernel_id": "68037221"}, {"ref": "sujitmadhavan/lang-gen", "kernel_id": "68160111"}, {"ref": "noripi/piano-performance-evaluation", "kernel_id": "68116751"}, {"ref": "snamu2/asciiart", "kernel_id": "68448558"}, {"ref": "sircausticmail/trailers-from-movies", "kernel_id": "69854570"}, {"ref": "lawrencechernin/evolution-of-dystopian-science-fiction", "kernel_id": "69288354"}, {"ref": "alexplusplus/book-summarizer", "kernel_id": "69646451"}, {"ref": "freaxmind/open-textbooks-with-gemini-long-context", "kernel_id": "69077325"}, {"ref": "bigdataanalysis1/beyond-the-lost-in-middle-gemini-1-5", "kernel_id": "69180039"}, {"ref": "jjinho/parallel-requests-to-gemini-api-using-asyncio", "kernel_id": "69358147"}, {"ref": "ayushyachitransh/notebook7e94c92106", "kernel_id": "69993015"}, {"ref": "sharatsachin/complete-youtube-video-summarizer", "kernel_id": "69001714"}, {"ref": "vbookshelf/specbot-engineering-standards-chatbot", "kernel_id": "69351962"}, {"ref": "abhi3ichigo/cover-letter-context-break", "kernel_id": "69662852"}, {"ref": "jobro1234/wikipedia-video-director", "kernel_id": "69450765"}, {"ref": "spitfire2nd/melt-ui-humaneval-pipeline-notebook", "kernel_id": "69258042"}, {"ref": "ardapr/unlocking-the-voice-of-customer-with-gemini-1-5", "kernel_id": "69556424"}, {"ref": "crischir/preprocess-datasets-with-gemini-long-context", "kernel_id": "69481332"}, {"ref": "pablourbieta/cpa-brazilian-financial-advisor", "kernel_id": "69642355"}, {"ref": "derderi/notebook11b2762b26", "kernel_id": "69368732"}, {"ref": "mpwolke/museum-mp4-docx", "kernel_id": "69183711"}, {"ref": "mpwolke/existentialist-python-chat-with-gemini", "kernel_id": "69591979"}, {"ref": "aburtnett3/distributed-agents-for-unsupervised-classification", "kernel_id": "69071091"}, {"ref": "tomaszszyrowski/fake-news-analysis-part2", "kernel_id": "69663064"}, {"ref": "ruurdkuiper/videobot3000", "kernel_id": "69934256"}, {"ref": "barunsaha/flashpaper", "kernel_id": "69133261"}, {"ref": "jocelyndumlao/flipped-classes-and-student-self-regulation-anxi", "kernel_id": "69102533"}, {"ref": "jocelyndumlao/evaluating-visitor-perception-in-exhibition-halls", "kernel_id": "69200974"}, {"ref": "shreeshaaithal/transform-long-videos-into-engaging-short", "kernel_id": "69635572"}, {"ref": "pranavbelhekar/gemini-beyond-limits-unified-multimodal-analysis", "kernel_id": "69657189"}, {"ref": "sergiprofesor/gemini-1-5-flash-maths-for-everybody", "kernel_id": "69260980"}, {"ref": "jerometam/gemini-is-a-good-personal-coach-d", "kernel_id": "69773868"}, {"ref": "diegoexe/gemini-for-2024-us-presidential-elections", "kernel_id": "69585122"}, {"ref": "maheshwarmuthukumar/transform-long-videos-into-engaging-short", "kernel_id": "69758031"}, {"ref": "dhruvbangera/gemini-lex", "kernel_id": "69992420"}, {"ref": "syemahmood226/gemini-1-5-from-audio-to-verdict-analysis", "kernel_id": "69641878"}, {"ref": "aosl7t/lecture-summary", "kernel_id": "69935537"}, {"ref": "manoelbrasilorlandi/sherlock-holmes-score", "kernel_id": "69064581"}, {"ref": "manoelbrasilorlandi/long-context-llms-for-investigative-reporting", "kernel_id": "69435541"}, {"ref": "tanmayikona/multimodal-analysis", "kernel_id": "69745835"}, {"ref": "edwardng5/the-watcher", "kernel_id": "69467504"}, {"ref": "polbarros/fictiomancer", "kernel_id": "69057474"}, {"ref": "gagandeep44489/gemini1-5modelexcecution", "kernel_id": "69121288"}, {"ref": "abishek95/screenplay-generation", "kernel_id": "69261154"}, {"ref": "kimhoogenboom/gemini-1-5-for-insurance", "kernel_id": "69689711"}, {"ref": "jaysonlee922/lecture-transcription-and-summary", "kernel_id": "69825169"}, {"ref": "ititsam/personal-recipes-with-your-ingredients", "kernel_id": "69423909"}, {"ref": "kubermehta/books-reimagined-diary-of-a-wimpy-kid-by-rodrick", "kernel_id": "69744830"}, {"ref": "maurocoutodepaiva/scientific-trends-analysis-with-gemini-1-5", "kernel_id": "69460835"}, {"ref": "batyrarystanbekov/language-in-context-make-gemini-fluent-in-na-vi", "kernel_id": "69658291"}, {"ref": "null23420/cybersecurity-and-quantum-analysis-via-gemini-1-5", "kernel_id": "69054574"}, {"ref": "karthikkumsivadiraja/healthfacts-ai", "kernel_id": "69595448"}, {"ref": "alexplusplus/corporate-annual-reports-analysis", "kernel_id": "70588721"}, {"ref": "ajjcoppola/gemini-lc-videopoker", "kernel_id": "70759960"}, {"ref": "zeus75/climate-change-with-gemini", "kernel_id": "70166854"}, {"ref": "vbookshelf/how-i-created-the-andrew-ng-letters-dataset", "kernel_id": "70791747"}, {"ref": "bhattbhavesh91/gemini-powered-multilingual-finance-assistant", "kernel_id": "70703947"}, {"ref": "lucifer19/the-enron-enigma", "kernel_id": "70669415"}, {"ref": "dimitreoliveira/ai-trailer-using-gemini-to-create-video-trailers", "kernel_id": "70881480"}, {"ref": "spitfire2nd/from-prompt-to-pull-request-benchmarking-gemini", "kernel_id": "70032390"}, {"ref": "felipefonte99/ai-doctor-assistant", "kernel_id": "70734933"}, {"ref": "suriyaganesh/gemini-inventory", "kernel_id": "70906080"}, {"ref": "safaak/atlasfinance-ai", "kernel_id": "70009416"}, {"ref": "zzj040203/vulnerability-description-analysis-with-lclm", "kernel_id": "70621123"}, {"ref": "abdullahabdelrhim/interactive-personalized-by-power-of-gemini-1-5", "kernel_id": "70981105"}, {"ref": "woosungyoon/gemini-word-chain-with-langgraph", "kernel_id": "70776133"}, {"ref": "tomaszszyrowski/fake-news-analysis", "kernel_id": "70119322"}, {"ref": "eteims/a-dictionary-is-all-i-needed", "kernel_id": "70928025"}, {"ref": "inzaghim/smart-shopping-assistant", "kernel_id": "70648693"}, {"ref": "futureofworkchannel/building-process-documentation-from-video-with-ai", "kernel_id": "70443570"}, {"ref": "arnabkarsarkar/long-lecture-video-summarization", "kernel_id": "70387075"}, {"ref": "mateo252/ai-kaggle-assistant", "kernel_id": "70395853"}, {"ref": "rzatemizel/a-self-aware-llm-build-ai-apps-in-minutes", "kernel_id": "70987694"}, {"ref": "pelinkeskin/multi-modal-fewshot-prompting-image-tabular", "kernel_id": "70684905"}, {"ref": "denismunene/large-scale-code-analysis-with-gemini-1-5", "kernel_id": "70119787"}, {"ref": "danielpace725/congressional-bill-analysis", "kernel_id": "70641731"}, {"ref": "gallo33henrique/google-gemini-long-context-engineering-prompt", "kernel_id": "70522552"}, {"ref": "kane0068/inquisitai-the-art-of-questioning", "kernel_id": "70732777"}, {"ref": "kane0068/talk-to-raskolnikov", "kernel_id": "70723023"}, {"ref": "tdistn/billy-bard", "kernel_id": "70874140"}, {"ref": "stemosamaghandour/using-google-gemini-in-egypt-stock-market", "kernel_id": "70887817"}, {"ref": "romanagle/assessing-e-coli-gene-function-based-on-neighbors", "kernel_id": "70389947"}, {"ref": "kagglej4ck/gemini-long-context-alternate-timelines", "kernel_id": "70713281"}, {"ref": "rounio/research-coder-ai-paper-to-code", "kernel_id": "70792625"}, {"ref": "ricardoriveroh/gemini-the-flu-genomics-expert", "kernel_id": "70142448"}, {"ref": "laboratorycomputer/tokens-not-enough-for-my-problem", "kernel_id": "70675774"}, {"ref": "ititsam/day1-trip-guide-by-gemini-1-5-pro", "kernel_id": "70312198"}, {"ref": "chsubhan/sentiment-analysis-across-data-sources-gemini-1-5", "kernel_id": "70703968"}, {"ref": "kparthiban007/gemini-mcq-generator", "kernel_id": "70586766"}, {"ref": "cebastiansantiago/app-idea", "kernel_id": "70325265"}, {"ref": "rafahsl/use-gemini-as-your-favorite-author", "kernel_id": "70194662"}, {"ref": "asifm1/mental-health-analysis-with-gemini-1-5", "kernel_id": "70849683"}, {"ref": "anaskhan75313/geminimixtapeai", "kernel_id": "70038945"}, {"ref": "teosoares/is-this-sad-better-content-warnings-for-movies", "kernel_id": "70125525"}, {"ref": "bumbiedumb/objectiveai", "kernel_id": "70237833"}, {"ref": "chandgoti/simulated-counsiousness-a-small-step-towards-agi", "kernel_id": "70986632"}, {"ref": "mechallenge/youtube-actionable-insight-generator", "kernel_id": "71950985"}, {"ref": "henshinger/creating-tutorials-from-videos-using-gemini", "kernel_id": "71551168"}, {"ref": "akbarwicaksana/enhancing-system-design-with-external-references", "kernel_id": "71851130"}, {"ref": "wgreunke/video-to-code-ward-greunke", "kernel_id": "71646996"}, {"ref": "amobash2/palliative-care-discussion-detection", "kernel_id": "71506937"}, {"ref": "dessislav/gemini-s-brilliance-shining-a-path-through-context", "kernel_id": "71969123"}, {"ref": "zeus75/gemini-in-biomedical-ai", "kernel_id": "71963799"}, {"ref": "zeus75/gemini-in-healthcare", "kernel_id": "71374437"}, {"ref": "thetraveller/using-gemini-to-dominate-kaggle-competitions", "kernel_id": "71972350"}, {"ref": "kiflica/gemini-test", "kernel_id": "71526264"}, {"ref": "akash0/scenexplorer-a-prototype-for-actor-recognition", "kernel_id": "71948123"}, {"ref": "gpreda/gemini-1-5-q-a-from-a-large-romanian-book", "kernel_id": "71282163"}, {"ref": "ammarasmaro/gemini-cognitio", "kernel_id": "71520711"}, {"ref": "parselt/patentini-help-with-filing-patents", "kernel_id": "71948220"}, {"ref": "bakrianoo/arabic-legal-assistant", "kernel_id": "71984846"}, {"ref": "kiay123/revolutionizing-meeting-analysis-with-gemini-1-5", "kernel_id": "71979860"}, {"ref": "jinmingteo/gemini-advanced-resume-ats", "kernel_id": "71739353"}, {"ref": "spitfire2nd/melt-ui-needle-in-a-haystack-pipeline-notebook", "kernel_id": "71769721"}, {"ref": "crischir/batch-dataset-summarization-with-gemini", "kernel_id": "71843451"}, {"ref": "chadchiu/time-series-and-cross-sectional-financial-reports", "kernel_id": "71293029"}, {"ref": "navinkasa/garfield-personality-engine-powered-by-gemini", "kernel_id": "71995200"}, {"ref": "roumaissaa/detecting-anomaly-events-in-surveillance-videos", "kernel_id": "71902571"}, {"ref": "keithgalli/gemini-for-u-s-legislation-understanding", "kernel_id": "71936124"}, {"ref": "mkoncurat/tale-twist", "kernel_id": "71699695"}, {"ref": "shreyakchakraborty/gemini-open-world-text-game", "kernel_id": "71134406"}, {"ref": "vaibhav1403/bookbuilder-pro", "kernel_id": "71355661"}, {"ref": "appy007/multi-agent-long-context-system-for-complex-qs", "kernel_id": "71976538"}, {"ref": "sushmithanarayan/receipt-sumarize-with-ocr-gemini", "kernel_id": "71304140"}, {"ref": "nanofan/quantifying-integrity-in-the-digital-age", "kernel_id": "71914631"}, {"ref": "kavisekar/storyboard-sculptor-gemini", "kernel_id": "71987275"}, {"ref": "odunayoogundepo6386/ai-product-manager", "kernel_id": "71642043"}, {"ref": "kaustubhbhavsar/deposition-transcript-long-context-w-gemini", "kernel_id": "71515878"}, {"ref": "barsoybilgen/querying-database-using-natural-language", "kernel_id": "71953635"}, {"ref": "rajahaseeb/codebase-security-analyzer-with-gemini-1-5", "kernel_id": "71765456"}, {"ref": "rajahaseeb/bridging-language-barriers-through-contextual-llm", "kernel_id": "71915921"}, {"ref": "usamaasif/cinemascope-revolutionizing-film-analysis", "kernel_id": "71743757"}, {"ref": "jameslabadorf/cache-conquer-accelerating-health-research", "kernel_id": "71992759"}, {"ref": "woosungyoon/game-director-gemini-review-analysis", "kernel_id": "71986227"}, {"ref": "theoleecj/gembrowse-long-form-website-use-with-gemini", "kernel_id": "71853900"}, {"ref": "xl0xl0xl0/convert-pdfs-to-markdown", "kernel_id": "71783706"}, {"ref": "louisbunuel/targu-mures-notes26", "kernel_id": "71697013"}, {"ref": "alfaxadeyembe/smart-gemini-long-context", "kernel_id": "71712841"}, {"ref": "cjas001/mystery-on-gcp-the-case-of-the-phantom-miner", "kernel_id": "71988727"}, {"ref": "nabojyotipandey/code-to-docs-ai-generator-using-google-gemini", "kernel_id": "71174597"}, {"ref": "rafalkaczmarek/context-project-ai", "kernel_id": "71475091"}, {"ref": "oleksandrarsentiev/exploring-sports-sponsorship-ad-exposure-analysis", "kernel_id": "71764845"}, {"ref": "alexanderholmberg/sports-analysis-with-gemini-fifa-world-cup", "kernel_id": "71773352"}, {"ref": "ilyasvarshavskiy/alice-time-for-questions-exam-question-generator", "kernel_id": "71711976"}, {"ref": "its07amit10/script-writing-from-reference-show", "kernel_id": "71774904"}, {"ref": "samarfatimajaffri/prepare-for-exams-with-gemini-1-5", "kernel_id": "71494139"}, {"ref": "virajsenevirathne/enhancing-cybersecurity-and-privacy-for-smbs", "kernel_id": "71963402"}, {"ref": "sujithrkumar/advertisement-creation-with-gemini", "kernel_id": "71832561"}, {"ref": "dhananjayaswain/a-conversation-between-m-k-gandhi-and-anne-frank", "kernel_id": "71866246"}, {"ref": "dhananjayaswain/talk-with-a-bygone-friend-with-gemini", "kernel_id": "71784308"}, {"ref": "gabormadarasz/gemini-research-manager-interface-geremai", "kernel_id": "71790453"}, {"ref": "vishnu0309/decoding-nation-s-blueprint-the-gemini-challenge", "kernel_id": "71942669"}, {"ref": "ugurumutlu/ai-based-product-assistant-for-vestel-customers", "kernel_id": "71759413"}, {"ref": "nigelkarikari/analyzing-cross-lingual-text-using-gemini", "kernel_id": "71262969"}, {"ref": "prathmeshadsod/beyond-the-plot-alter-the-storyline", "kernel_id": "71714700"}, {"ref": "monicasusan/aurora-a-responsible-local-first-ai-companion", "kernel_id": "71965523"}, {"ref": "kashyap23/lifescript-ai", "kernel_id": "71413988"}, {"ref": "mofurqan24/gemini-1-5-draft-your-own-glasgow-pact", "kernel_id": "71867606"}, {"ref": "haotiannnnn/intro-to-long-context-and-context-caching", "kernel_id": "71751011"}, {"ref": "mostafaoc2/tracing-the-threads-of-catastrophe-log-exploration", "kernel_id": "71976989"}, {"ref": "ahwardev/movie-quotes-and-scenes-search-using-llm", "kernel_id": "71671228"}, {"ref": "yashasmittal/aismartcitytraffic-gemini-long-context", "kernel_id": "71346586"}, {"ref": "yashjagtap01/notebookca8aead6d2", "kernel_id": "71076206"}, {"ref": "fahedshadid/the-car-expert", "kernel_id": "71572871"}, {"ref": "mbongenindlovu/ai-sports-media", "kernel_id": "71569180"}, {"ref": "kane0068/mediaanalyzer-ai-truth-detector", "kernel_id": "71436771"}, {"ref": "chrthr/gemini-long-context-unmasking-hidden-style-shifts", "kernel_id": "71767128"}, {"ref": "chrthr/gemini-long-context-data-generation", "kernel_id": "71754442"}, {"ref": "mateuszdobrychlop/ziomai-the-assistant-that-has-your-back", "kernel_id": "71770626"}, {"ref": "souvikchand/personal-student-mentor", "kernel_id": "71964141"}, {"ref": "theisaperez/quantum-gravity-theory-synthesizer", "kernel_id": "71245021"}, {"ref": "yuchen2066/fantasy-rpg-game-with-gemini-ultimate-tutorial", "kernel_id": "71409174"}, {"ref": "kartikgarg74/gemini-long-context", "kernel_id": "71590127"}, {"ref": "tanmayikona/model-train-assist", "kernel_id": "71944029"}, {"ref": "terrichiachia/taiwan-s-constitutional-court-judgment-analysis", "kernel_id": "71693437"}, {"ref": "padmashreemalagi/same-context-cross-format-data-analysis", "kernel_id": "71831605"}, {"ref": "yatharthbisht/generating-openapi-specs-for-crms-using-gemini", "kernel_id": "71077728"}, {"ref": "muhammadfaizankhanj/communication-coach", "kernel_id": "71144907"}, {"ref": "akinduhiman/travel-recommendation-model", "kernel_id": "71858959"}, {"ref": "akinduhiman/ai-for-seamless-travel-planning-recommendations", "kernel_id": "71861150"}, {"ref": "ramzybakir/syra-revolutionize-your-hiring-process", "kernel_id": "71994449"}, {"ref": "hemapavani/notebookef75432e89", "kernel_id": "71952003"}, {"ref": "wilkosz/analysis-of-us-congress-records-on-climate-change", "kernel_id": "71761103"}, {"ref": "lindalawton/gemini-docker-service-log-analysis", "kernel_id": "71928224"}, {"ref": "valentinbaltazar/chess-grandmaster-s-journal-guided-by-gemini-ai", "kernel_id": "71987834"}, {"ref": "nurulfhakri/gemini-warframe-analysis-for-max-damage", "kernel_id": "71342586"}, {"ref": "byteliberator/calme-calories-tracker-healthy-or-unhealthy", "kernel_id": "71596618"}, {"ref": "byteliberator/gemini-long-context-formula-1-ai-steward", "kernel_id": "71925871"}, {"ref": "maheswarin210742/audio-and-video-analysis", "kernel_id": "71897605"}, {"ref": "tamunotonyedappa/breast-cancer-analysis-gemini-large-context", "kernel_id": "71679643"}, {"ref": "mikhailkarim/analyzing-xauusd-for-future-economy-forecasting", "kernel_id": "71721524"}, {"ref": "sainathbelagavi/google-maps-on-steroids-gemini-ai-edition", "kernel_id": "71301247"}, {"ref": "ititsam/look-how-to-fine-tune-model-by-gemini-1-5", "kernel_id": "71109416"}, {"ref": "ajayasaithambi/automating-chip-design-verification", "kernel_id": "71018369"}, {"ref": "devireddyvaishu/state-gdp-ipynb", "kernel_id": "71952223"}, {"ref": "erichpromptperfect/prompt-hallucination-score", "kernel_id": "71280853"}, {"ref": "tonydrapezaochinang/multimodal-query-for-basketball-game", "kernel_id": "71679123"}, {"ref": "tarunjit45/data-processing-for-final-output", "kernel_id": "71748375"}, {"ref": "taylorey/contract-lawyer-gemini", "kernel_id": "71962188"}, {"ref": "vinuthnasnehaathota/multitude-of-gemini-1-5-pro", "kernel_id": "71712751"}, {"ref": "vinuthnasnehaathota/gemini-eco-analyst-research-insights-config-1-2", "kernel_id": "71948849"}, {"ref": "wanmohamadhanis/automating-chip-design-verification", "kernel_id": "71332705"}, {"ref": "jeanmarcbah/crawlpilot", "kernel_id": "71938886"}, {"ref": "mfaseeh/opticodex", "kernel_id": "71639914"}, {"ref": "jwardbond/citizen-gemini", "kernel_id": "71788032"}, {"ref": "sathiyanarayanan396/fact-check", "kernel_id": "71633430"}, {"ref": "jazyjentler/chat-with-your-files-by-gemini-long-context", "kernel_id": "71314054"}, {"ref": "nithinnaidu/gemini-math-tutor-for-all-age-groups", "kernel_id": "71871160"}, {"ref": "stevenjung/leveraging-large-language-models-for-codebase-tech", "kernel_id": "71874186"}, {"ref": "blackbigswan/github-profile-chat-analysis-and-insights", "kernel_id": "71989164"}, {"ref": "aidenforrest/advanced-content-filtering-and-analysis", "kernel_id": "71975292"}, {"ref": "rakshithkumarb/gemini-long-context-narrative-generator", "kernel_id": "71878714"}, {"ref": "peterbabulik/geminisociety", "kernel_id": "71933024"}, {"ref": "peterbabulik/geminisciencesociety", "kernel_id": "71970007"}, {"ref": "raamhicet/triallens-clinical-trial-analyzer-with-gemini-ai", "kernel_id": "71495276"}, {"ref": "feuera1225/ai-vtuber-as-game-master-unleashing-gemini-s-trpg", "kernel_id": "71745585"}, {"ref": "stefengels/syst-o-matic-review", "kernel_id": "71775528"}, {"ref": "xueerchen/xueer-s-cellpose-agent-powered-by-gemini-1-5-flash", "kernel_id": "72041052"}, {"ref": "pachilo/understanding-source-code-vulnerabilities", "kernel_id": "72033798"}, {"ref": "elliej/chat-with-classics-gemini-lcw", "kernel_id": "72060700"}, {"ref": "kubikb/gemini-driven-policy-navigation-by-zencore", "kernel_id": "72032842"}, {"ref": "spacedoge/ace-interviews-and-learn-japanese-with-gemini", "kernel_id": "72024574"}, {"ref": "siimple/storytelling-teacher", "kernel_id": "72039576"}, {"ref": "artvolgin/educational-ai-assistant", "kernel_id": "72049920"}, {"ref": "sirvan3tr/electronic-component-datasheet-feature-extraction", "kernel_id": "72059670"}, {"ref": "artyomsmirnov/reading-200-years-of-local-newspapers-with-gemini", "kernel_id": "72000730"}, {"ref": "laurence001/proof-assistant-v2", "kernel_id": "72061410"}, {"ref": "peeeeter/home-inspection-with-gemini-long-context", "kernel_id": "72010596"}, {"ref": "mrdbourke/keeptrack-use-gemini-to-keep-track-of-anything", "kernel_id": "72043933"}, {"ref": "prayushkale/yt2book-gemini-youtube-book-creator", "kernel_id": "72037155"}, {"ref": "erkangunes/topic-discovery-in-large-text-corpora", "kernel_id": "72056410"}, {"ref": "brunep/maximizing-gemini-context-earth-system-analysis", "kernel_id": "72059760"}, {"ref": "karnikakapoor/gemini-1-5-powered-patent-analysis", "kernel_id": "72020709"}, {"ref": "gyo007/cmp-gemini-submission", "kernel_id": "72003447"}, {"ref": "adityavishwak/decoding-love-gemini-powered-chat-analysis", "kernel_id": "72050525"}, {"ref": "ruurdkuiper/video-bot-3000", "kernel_id": "72054499"}, {"ref": "bennyifeanyi/repository-to-tutorial-automation-project", "kernel_id": "72052349"}, {"ref": "rajasimhareddybolla/empowering-education-with-ai", "kernel_id": "72023567"}, {"ref": "rajasimhareddybolla/gemini-in-education-personalized-learning", "kernel_id": "72021853"}, {"ref": "rajasimhareddybolla/ai-meets-teacher2", "kernel_id": "72018709"}, {"ref": "diversen/python-chat-with-gemini", "kernel_id": "72033527"}, {"ref": "alfaxadeyembe/smart", "kernel_id": "72084206"}, {"ref": "its07amit10/scriptgen", "kernel_id": "72056813"}, {"ref": "robinotter/juur-ai-simplify-law", "kernel_id": "72055032"}, {"ref": "alijalali4ai/gemini-thinking-langchain-for-news-aggregation", "kernel_id": "72056932"}, {"ref": "francismarasouza/comprehensive-github-repository-analysis", "kernel_id": "72043275"}, {"ref": "rtarun/introducing-omni-truly-personal-agi", "kernel_id": "72003116"}, {"ref": "pustak/chainedthought", "kernel_id": "72057945"}, {"ref": "eisausman/codecracker-ai", "kernel_id": "72049174"}, {"ref": "hodajalali/fact-checking-youtube-health-content-using-genai", "kernel_id": "72006944"}, {"ref": "leonnorblad/project-kickstarter-submission", "kernel_id": "72055017"}, {"ref": "vamsi86/quantumsynth-v4-quantum-qubit-ai-engine", "kernel_id": "72025244"}, {"ref": "jvitorlobo/solving-dom-casmurro-with-gemini", "kernel_id": "72059248"}, {"ref": "iyaadluqman/clara-your-ai-powered-workplace-assistant", "kernel_id": "72055792"}, {"ref": "jessantoniozambrano/preserving-native-languages-with-gemini-ai", "kernel_id": "72060942"}, {"ref": "datascientistsalman/unlocking-magnus-carelson-chess-playing-strategies", "kernel_id": "72050439"}, {"ref": "anshdarji/smart-learning-system", "kernel_id": "72013571"}, {"ref": "orvalg/using-gemini-as-a-proctor-for-online-exams", "kernel_id": "72001426"}, {"ref": "adisongoh/gemini-revolutionizing-lit-reviews-insights", "kernel_id": "72026966"}, {"ref": "dnyanesharungawari/microbiome-data-eval", "kernel_id": "72019296"}, {"ref": "moneebah/spatial-navigation-with-gemini-1-5-long-context", "kernel_id": "72040286"}, {"ref": "moneebah/spatial-navigation-with-long-context", "kernel_id": "72059494"}, {"ref": "saipriyarajagopal7/tabby-potter", "kernel_id": "72053142"}, {"ref": "danielmendozac/ai-research-with-gemini-1-5-s-long-context", "kernel_id": "72056313"}, {"ref": "zeeshanx/glc-large-reports-and-books-to-slides", "kernel_id": "72013835"}, {"ref": "yasirali22/spark-lens", "kernel_id": "72035342"}, {"ref": "tamunotonyedappa/code-assistant-security-analyzer-bugs-fix-and-cha", "kernel_id": "72060992"}, {"ref": "mikhailkarim/analyzing-gold-prices-for-future-economy-forecast", "kernel_id": "72054918"}, {"ref": "sainathbelagavi/google-maps-on-steroids-gemini-ai-1-5", "kernel_id": "72059217"}, {"ref": "vamsikrishna686/notebook97f588de27", "kernel_id": "72033787"}, {"ref": "danyalasgar/legal-document-analysis-using-gemini-1-5", "kernel_id": "72025277"}, {"ref": "rufaromugabe/gemini-long-context-subtitles-generation2", "kernel_id": "72058788"}, {"ref": "junghoonson/ai-ontology-entity-linking-for-clinical-content", "kernel_id": "72030706"}, {"ref": "sukhmanjawa/geminimultimediacontextsearch", "kernel_id": "72055137"}, {"ref": "alessandrosecchi/the-perfect-match-for-your-tech-and-business-need", "kernel_id": "72279581"}, {"ref": "kyle1373/framecut-a-natural-language-video-editor", "kernel_id": "72054991"}, {"ref": "allenfirstenberg/vodo-drive-long-prompt", "kernel_id": "72007275"}, {"ref": "patokekar/gemini-contest-salk-ai-email-fraud-detection", "kernel_id": "72029859"}, {"ref": "shubhamg01/branchbuddy-a-code-review-assistant", "kernel_id": "72043068"}, {"ref": "arunkg99/newbuilding-process-documentation-from-video", "kernel_id": "74524333"}, {"ref": "arunkg99/electronic-component-datasheet-feature-extraction", "kernel_id": "75502320"}, {"ref": "arunkg99/project-documentation-generator-with-google-gemini", "kernel_id": "75181962"}, {"ref": "arunkg99/home-inspection-with-gemini-long-context", "kernel_id": "75014551"}, {"ref": "arunkg99/spatial-navigation-with-long-context-2487b7", "kernel_id": "75015811"}, {"ref": "arunkg99/crawlpilot", "kernel_id": "75016430"}, {"ref": "futureofworkchannel/building-process-documentation-from-video-gemini-2", "kernel_id": "77674933"}, {"ref": "utsavchangani/simulated-consciousness-a-small-step-towards-agi", "kernel_id": "78332179"}, {"ref": "arunmohan2/5-building-process-documentation-video-with-ai", "kernel_id": "81082400"}, {"ref": "vinuthnasnehaathota/model-train-assist-final", "kernel_id": "81572933"}, {"ref": "siavashkasravi/gemini-1-5-powered-patent-analysis", "kernel_id": "88487373"}]}
{"competition_id": "83742", "kernels": []}
{"competition_id": "83747", "kernels": [{"ref": "sudharsshinis/kpr-sudharsshini", "kernel_id": "64496618"}, {"ref": "naveenkarthikr/exp-proj", "kernel_id": "64704058"}, {"ref": "samadretabiswas/saikat-aot", "kernel_id": "64721882"}, {"ref": "gautammaheshwary/cheatcodes", "kernel_id": "65023664"}]}
{"competition_id": "83749", "kernels": []}
{"competition_id": "83750", "kernels": []}
{"competition_id": "83751", "kernels": []}
{"competition_id": "83752", "kernels": []}
{"competition_id": "83753", "kernels": []}
{"competition_id": "83754", "kernels": []}
{"competition_id": "83755", "kernels": []}
{"competition_id": "83756", "kernels": []}
{"competition_id": "83757", "kernels": []}
{"competition_id": "83758", "kernels": []}
{"competition_id": "83759", "kernels": []}
{"competition_id": "83760", "kernels": []}
{"competition_id": "83772", "kernels": [{"ref": "yunwoooh/notebook215eef587f", "kernel_id": "63819013"}, {"ref": "yunwoooh/notebookb45bdf6d8a", "kernel_id": "63816558"}]}
{"competition_id": "83787", "kernels": []}
{"competition_id": "83806", "kernels": []}
{"competition_id": "83835", "kernels": []}
{"competition_id": "83840", "kernels": []}
{"competition_id": "83841", "kernels": []}
{"competition_id": "83880", "kernels": [{"ref": "danipipe777/tutoria-1-af-ii-2024-ii-svc-nn", "kernel_id": "64343258"}, {"ref": "danipipe777/tutoria-1-af-ii-2024-ii-base", "kernel_id": "65079241"}]}
{"competition_id": "83883", "kernels": []}
{"competition_id": "83905", "kernels": []}
{"competition_id": "83916", "kernels": [{"ref": "himanshusinghal19/ml-ai-week-7-starter-notebook", "kernel_id": "64153142"}]}
{"competition_id": "83922", "kernels": [{"ref": "bartekkolakowski/revised-resnet", "kernel_id": "108691519"}, {"ref": "ahmad6186/notebook7c177694c8", "kernel_id": "122084114"}]}
{"competition_id": "83956", "kernels": []}
{"competition_id": "83967", "kernels": [{"ref": "mohdah200/dt-data-pois", "kernel_id": "65202183"}]}
{"competition_id": "83969", "kernels": [{"ref": "kaveeshaedirisinghe/assessment-2-0-implementation", "kernel_id": "75797907"}]}
{"competition_id": "83975", "kernels": []}
{"competition_id": "83976", "kernels": []}
{"competition_id": "83996", "kernels": []}
{"competition_id": "83997", "kernels": [{"ref": "saikirankotha97/low-res-image-classification", "kernel_id": "65535829"}]}
{"competition_id": "84000", "kernels": []}
{"competition_id": "84002", "kernels": []}
{"competition_id": "84037", "kernels": []}
{"competition_id": "84038", "kernels": []}
{"competition_id": "84039", "kernels": []}
{"competition_id": "84050", "kernels": []}
{"competition_id": "84064", "kernels": []}
{"competition_id": "84076", "kernels": []}
{"competition_id": "84091", "kernels": []}
{"competition_id": "84098", "kernels": []}
{"competition_id": "84120", "kernels": []}
{"competition_id": "84144", "kernels": [{"ref": "chickenboy/2nd-solution", "kernel_id": "65866390"}]}
{"competition_id": "84175", "kernels": [{"ref": "shrutisaxena/nfl-big-data-bowl-2025-eda", "kernel_id": "67286689"}, {"ref": "zahid1/examining-tracking-data-accuracy", "kernel_id": "67302900"}, {"ref": "docxian/nfl-big-data-bowl-2025-r", "kernel_id": "67312582"}, {"ref": "nickwan/feature-eng-pre-snap-post-snap-ideas", "kernel_id": "67302506"}, {"ref": "nickwan/animate-plays-with-plotly-real-no-lies-here", "kernel_id": "67767384"}, {"ref": "stpeteishii/nfl-2025-game-track-animation", "kernel_id": "67322999"}, {"ref": "stpeteishii/nfl-2025-line-set-image-and-labeling", "kernel_id": "67615258"}, {"ref": "stpeteishii/nfl-2025-track-animation-of-pre-post-snap-scene", "kernel_id": "67432414"}, {"ref": "mpwolke/nfl-big-data-bowl-2025", "kernel_id": "67291297"}, {"ref": "susant4learning/chapter-3-5-nfl-2025-eda", "kernel_id": "67284369"}, {"ref": "susant4learning/nfl-2025-eda-animations", "kernel_id": "67281630"}, {"ref": "wguesdon/nfl-big-data-bowl-2025-sweetviz-langchain", "kernel_id": "67314990"}, {"ref": "whisperingkahuna/coach-track-formation-success-analysis", "kernel_id": "67327840"}, {"ref": "whisperingkahuna/coach-track-player-scouting", "kernel_id": "67323798"}, {"ref": "abdenourdellil/exploring-the-data", "kernel_id": "67790728"}, {"ref": "fernandosr85/snap-insights-beyond-the-obvious", "kernel_id": "67735262"}, {"ref": "icemagic/nfl-big-data-bowl-animation", "kernel_id": "67580393"}, {"ref": "michaelsemenoff/predicting-nfl-big-plays-using-player-performance", "kernel_id": "67397161"}, {"ref": "michaelsemenoff/predicting-nfl-run-v-pass-using-player-performance", "kernel_id": "67517075"}, {"ref": "babydriver1233/analysis-nfl-big-data-bowl-2025", "kernel_id": "67818233"}, {"ref": "babydriver1233/nfl-big-data-bowl-2025", "kernel_id": "67790353"}, {"ref": "rv1922/nfl-big-bowl-games-analysis", "kernel_id": "67780704"}, {"ref": "rv1922/nfl-big-bowl-players-data-analysis", "kernel_id": "67831074"}, {"ref": "rv1922/nfl-big-bowl-analysis-of-players-data", "kernel_id": "67879816"}, {"ref": "abhikalugade/nfl-bigdata-1", "kernel_id": "67934538"}, {"ref": "teranekerimova/basic-analysis-nfl", "kernel_id": "67282468"}, {"ref": "arjunaaditiyaas/notebook4321a65b7b", "kernel_id": "67308892"}, {"ref": "macksmith/nfl-big-data-bowl-2025-predicting-run-v-pass", "kernel_id": "67853546"}, {"ref": "gagandeep44489/footballplayeranalysis", "kernel_id": "67765330"}, {"ref": "mehakiftikhar/nfl-part-1-initial-data-exploration", "kernel_id": "67341760"}, {"ref": "mehakiftikhar/nfl-part-2-in-depth-analysis-of-plays-data", "kernel_id": "67705107"}, {"ref": "mohamedelsadek44/nfl-big-data-bowl-2025", "kernel_id": "67803573"}, {"ref": "muhammaddawood42/nfl-part-2-in-depth-analysis-of-plays-data", "kernel_id": "67855773"}, {"ref": "muhammaddawood42/nfl-big-data-bowl-2025", "kernel_id": "67399868"}, {"ref": "silupoudel/basic-eda-nfl-2025-game-analysis", "kernel_id": "67871396"}, {"ref": "alexandrenouarcto/vae-victis-tactical-nfl-insights-using-pre-snap", "kernel_id": "67759695"}, {"ref": "justinsteve/nfl-analysis-part-1-eda-of-games-and-plays", "kernel_id": "67820453"}, {"ref": "justinsteve/nfl-analysis-part-2-eda-of-player-plays-dataset", "kernel_id": "67840793"}, {"ref": "justinsteve/nfl-analysis-part-3-eda-of-players", "kernel_id": "67901297"}, {"ref": "pvabish/modeling-with-transformers-by-sumersports", "kernel_id": "68751531"}, {"ref": "derderi/ederderipython", "kernel_id": "68584378"}, {"ref": "zmuscarella/animating-plays-w-movement-vectors", "kernel_id": "68364733"}, {"ref": "fernandosr85/snap-insights-beyond-the-obvious-part-two", "kernel_id": "68349014"}, {"ref": "tomaszszyrowski/tszyrowski-nfl-2025-first-eda", "kernel_id": "68422948"}, {"ref": "erichilarysmith/erichilarysmithnflsuperbowl2025-1", "kernel_id": "68362396"}, {"ref": "michaelsemenoff/nfl-play-animation-with-real-time-work-analysis", "kernel_id": "68928198"}, {"ref": "michaelsemenoff/blitz-effectiveness", "kernel_id": "68363766"}, {"ref": "rv1922/nfl-big-bowl-player-details-analysis", "kernel_id": "68135318"}, {"ref": "rv1922/nfl-big-bowl-data-complete-eda", "kernel_id": "68863825"}, {"ref": "drewmukherjee/pre-snap-motion-in-hurry-up-situations", "kernel_id": "68097350"}, {"ref": "arshmankhalid/games-insightful-analysis-players-in-action", "kernel_id": "68040215"}, {"ref": "arshmankhalid/breaking-down-the-nfl-big-bowl", "kernel_id": "68422141"}, {"ref": "karthikreddy0101/nfl-games", "kernel_id": "68630701"}, {"ref": "idh21001/nfl-data-bowl-notebook", "kernel_id": "68517729"}, {"ref": "idh21001/nfl-data-bowl-submission", "kernel_id": "68519315"}, {"ref": "mehakiftikhar/nfl-part-3-player-data-analysis", "kernel_id": "68166958"}, {"ref": "derekgrifka/overlap-how-can-pre-snap-motion-exploit-it", "kernel_id": "68422185"}, {"ref": "mustafasubaih/nfl-big-data-bowl-2025", "kernel_id": "68005825"}, {"ref": "karahanos/pre-snap-game-prediction", "kernel_id": "68099354"}, {"ref": "jacksonmacdonald21/predicting-motion-effectiveness", "kernel_id": "68511311"}, {"ref": "fernandosr85/snap-insights-non-obvious-patterns-part-three", "kernel_id": "69530329"}, {"ref": "sanujitdash/nfl2025-s", "kernel_id": "69321309"}, {"ref": "michaelsemenoff/defensive-readiness-index-dri-analysis", "kernel_id": "69840852"}, {"ref": "michaelsemenoff/strategic-efficiency-index-sei", "kernel_id": "69020960"}, {"ref": "michaelsemenoff/player-work-and-power-metrics", "kernel_id": "69148111"}, {"ref": "rgismeyssonnier/nfl2025-submission-code", "kernel_id": "69260204"}, {"ref": "jwood5/wood-data-bowl", "kernel_id": "69789782"}, {"ref": "arshmankhalid/big-bowl-eda-crushing-player-stats", "kernel_id": "69944029"}, {"ref": "adammoore17/bdb-2025-notebook", "kernel_id": "69622148"}, {"ref": "souzaphone/predicting-receiver-separation", "kernel_id": "69365396"}, {"ref": "johnabbott1234/nfl-notes", "kernel_id": "69367642"}, {"ref": "jakubpiwowarski8000/offense-wins-games-defense-wins-season", "kernel_id": "69645675"}, {"ref": "brandonmartnezok/successful-play2", "kernel_id": "69603289"}, {"ref": "brandonmartnezok/successful-play", "kernel_id": "69520446"}, {"ref": "iroblesrazzaq/predicting-nfl-run-v-pass-using-player-performance", "kernel_id": "69071241"}, {"ref": "darrenpeng71/pass-vs-run-model", "kernel_id": "69680860"}, {"ref": "tristramtaylor/an-analysis-of-scoring-drives", "kernel_id": "69440971"}, {"ref": "domotheebot/nfl-2025-atl-defense-coverages", "kernel_id": "69079315"}, {"ref": "evanwconsl/evan-williams-nfl-plays-to-scoring-drives", "kernel_id": "70438484"}, {"ref": "nickwan/fly-sweeps-are-the-best-rushing-play", "kernel_id": "70642003"}, {"ref": "mohammedshammeer/package-for-animating-tracking-visualization", "kernel_id": "70670656"}, {"ref": "michaelsemenoff/ecological-movement-modeling", "kernel_id": "70139482"}, {"ref": "mohdmuttalib/national-football-league-nfl-big-data-bowl-2026", "kernel_id": "70673698"}, {"ref": "darrylhartono/analysis-of-snap-accuracy-for-winning-the-nfl", "kernel_id": "70447021"}, {"ref": "gagandeep44489/coach-presentation-track-by-g", "kernel_id": "70435382"}, {"ref": "remozdemir/nfl-2025-irem-data", "kernel_id": "70379191"}, {"ref": "georgereader/nfl-big-data-bowl-2025-eda", "kernel_id": "70917012"}, {"ref": "darrenpeng71/predicting-lineback-blitz-or-not-on-3rd-down", "kernel_id": "70976067"}, {"ref": "anthonyanastasi/analyzing-play-data", "kernel_id": "70041114"}, {"ref": "marriottgiftmumba/first-try", "kernel_id": "70792169"}, {"ref": "sodiqabiodun/positional-insights-from-nfl-tracking-data", "kernel_id": "70834023"}, {"ref": "jackvanourny/coverage-diversity-leading-to-better-outcomes", "kernel_id": "70631070"}, {"ref": "tyahui/predicting-nfl-quarterback-pass-outcomes", "kernel_id": "71698895"}, {"ref": "hanru789/about-games", "kernel_id": "71665254"}, {"ref": "hanru789/about-players", "kernel_id": "71940545"}, {"ref": "robertturro/nfl-bdb25-build-dataset", "kernel_id": "71504579"}, {"ref": "mbdutt/nfl-insights-of-teams-performance-part-2", "kernel_id": "71607274"}, {"ref": "mbdutt/nfl-data-transformation-data-modelling", "kernel_id": "71279102"}, {"ref": "mattflaherty97/routes-over-expected", "kernel_id": "71499657"}, {"ref": "jeremyhaakenson/prediction-of-pass-length", "kernel_id": "71272702"}, {"ref": "humeyracimen/global-ai-hub-aygaz-veri-analizi-bootcamp", "kernel_id": "71157458"}, {"ref": "monikabernecker/nfl-big-data-bowl-2025-first-try", "kernel_id": "71474052"}, {"ref": "hnaganob/nfl-big-data-bowl-2025-r-shiny-animation", "kernel_id": "71455312"}, {"ref": "madbonze/nfl-xpass", "kernel_id": "71628972"}, {"ref": "coldian/nfl-big-data-bowl-2025-run-vs-pass-prediction", "kernel_id": "71747833"}, {"ref": "tabletcxh/2025nfl-bigdatabowl", "kernel_id": "71222711"}, {"ref": "jmartenstein/work-in-progress-in-motion-predictability", "kernel_id": "72732616"}, {"ref": "jmartenstein/telling-stories-with-pre-snap-motions", "kernel_id": "72944293"}, {"ref": "hakimdardouri/template", "kernel_id": "72032651"}, {"ref": "raphbeligs/template", "kernel_id": "72039749"}, {"ref": "mvoulo/run-pass-oracle-rpo", "kernel_id": "72656626"}, {"ref": "therocket290/where-is-the-football-in-this-play", "kernel_id": "72851983"}, {"ref": "therocket290/1-feature-to-predict-run-pass-w-0-77-acc", "kernel_id": "72447509"}, {"ref": "therocket290/exploring-pre-snap-x-displacement", "kernel_id": "72612668"}, {"ref": "hanru789/about-plays", "kernel_id": "72064438"}, {"ref": "yanicen/which-nfl-team-is-the-fastest-team-stats", "kernel_id": "72249579"}, {"ref": "tindata/down-set-hut", "kernel_id": "72903378"}, {"ref": "conradkleykamp/nfl-bdb-2025-eda-part-i-game-player-data", "kernel_id": "72109355"}, {"ref": "rv1922/nfl-big-data-bowl-2025", "kernel_id": "72749173"}, {"ref": "farhaansiddiqui/nfl-bigdatabowl", "kernel_id": "72005943"}, {"ref": "ryanvut/first-play-run-or-pass-an-analysis", "kernel_id": "72411297"}, {"ref": "raymondcarpenter1/receiver-deception-score-rds", "kernel_id": "72591110"}, {"ref": "markstolte/analyzing-the-impact-of-defensive-line-pre-snap", "kernel_id": "72146239"}, {"ref": "datacates/motion-heuristics", "kernel_id": "72994186"}, {"ref": "coletonreitan21/monitoring-motion", "kernel_id": "72722713"}, {"ref": "rodrigosalgado/nfl-big-dat-bowl-2025-project", "kernel_id": "72805229"}, {"ref": "calebreid16/classifying-rb-motion", "kernel_id": "72400215"}, {"ref": "zahid1/submission-uncertainty-modified-route-prediction", "kernel_id": "73834440"}, {"ref": "carter3689/blerdcodes-nfl-big-data-bowl1", "kernel_id": "73341720"}, {"ref": "tobimichigan/nfl-big-data-bowl-2025-lightgbm-cnn-algorithm", "kernel_id": "73916944"}, {"ref": "connyfromtheblock/decoding-qb-reads-a-markov-model-approach", "kernel_id": "73916815"}, {"ref": "dedquoc/nfl-big-data-bowl-2025-analytic-and-predict", "kernel_id": "73929870"}, {"ref": "andrewakers9/dialing-up-the-pressure", "kernel_id": "73298324"}, {"ref": "stevejenkins/run-or-pass-the-power-of-pre-snap-motion", "kernel_id": "73434203"}, {"ref": "robertturro/bdb25-analysis", "kernel_id": "73110426"}, {"ref": "robertturro/nfl-bdb25-interpretation", "kernel_id": "73110517"}, {"ref": "robertturro/code-for-sankey-diagrams", "kernel_id": "73234115"}, {"ref": "robertturro/nfl-bdb25-visuals", "kernel_id": "73492115"}, {"ref": "takukusu/decorating-notebooks-visualization-with-plotly", "kernel_id": "73295692"}, {"ref": "aarnavsawant/decoy", "kernel_id": "73356995"}, {"ref": "jacobmarkmiller/anticipating-play-outcomes", "kernel_id": "73880059"}, {"ref": "aaronfoxdeakin/imi-in-motion-index", "kernel_id": "73174412"}, {"ref": "miguelmd123/disguised-intentions", "kernel_id": "73783374"}, {"ref": "higorvilela/how-about-defeating-patrick-mahomes", "kernel_id": "73573709"}, {"ref": "daniellesass/modeling-rush-direction-in-the-nfl", "kernel_id": "73342190"}, {"ref": "mattpolsky/it-s-a-bluff-predicting-wide-receiver-decoy-motio", "kernel_id": "73831483"}, {"ref": "mattpolsky/it-s-a-bluff-predicting-receiver-decoy-motions", "kernel_id": "73930410"}, {"ref": "salonipatadia15/notebookba729b4d46", "kernel_id": "73745378"}, {"ref": "shloakshetty/nfl-players-stats-comprehensive-exploration", "kernel_id": "73110332"}, {"ref": "maxdesmoulins/xcoverage-identifying-coverages-pre-snap", "kernel_id": "73869191"}, {"ref": "matthieusibert/trying-to-determine-pass-run-probabilities-for-tv", "kernel_id": "73972475"}, {"ref": "ismail89/basic-eda", "kernel_id": "73572308"}, {"ref": "ingielshahid/hardcounts-defensive-offsides-and-defensive-rush", "kernel_id": "73293093"}, {"ref": "connorsoethout/defensive-disruption-play-success", "kernel_id": "73867230"}, {"ref": "roboticsismylife/nfl-eda", "kernel_id": "73639468"}, {"ref": "michaelzheng119/measuring-defenses-reactions-to-presnap-motion", "kernel_id": "73599759"}, {"ref": "bradyd/assessing-nfl-qb-s-pre-snap-reads", "kernel_id": "73873091"}, {"ref": "mehakiftikhar/nfl-player-play-analysis-final-version", "kernel_id": "73660332"}, {"ref": "danbickelhaupt/read-em-weep", "kernel_id": "73916608"}, {"ref": "elijahvolcsko/the-separation-game-yards-created-with-motion", "kernel_id": "73879984"}, {"ref": "jesseabrahams1/assessing-motion-types-effectiveness-code", "kernel_id": "73342290"}, {"ref": "sarahpollack/under-cover-2-predicting-disguised-defenses", "kernel_id": "73789885"}, {"ref": "lecardonnel/reception-zones-and-the-orpsp-metric", "kernel_id": "73680564"}, {"ref": "abhishekvaradarajan/trench-chess", "kernel_id": "73978014"}, {"ref": "abhishekvaradarajan/down-set-hut", "kernel_id": "73977909"}, {"ref": "guyhaiby/decoding-audibles-leveraging-pre-snap-signals", "kernel_id": "73861368"}, {"ref": "strangerstranger/baisc-info", "kernel_id": "73337941"}, {"ref": "strangerstranger/football-match-result-prediction", "kernel_id": "73683572"}, {"ref": "strangerstranger/game-changing-insights-analyzing-scoring-trends", "kernel_id": "73616556"}, {"ref": "strangerstranger/predicting-nfl-pass-outcomes-model-evaluation-and", "kernel_id": "73661317"}, {"ref": "brendanmcguinness/predicting-a-tight-end-s-role", "kernel_id": "73727766"}, {"ref": "rishjain0611/attributes-of-explosive-passing-tds", "kernel_id": "73654566"}, {"ref": "haleyparmley/nfl-big-data-bowl-2025-predicting-receiver-routes", "kernel_id": "73830104"}, {"ref": "jakeallison12/ravens-offense-athletic-profiles", "kernel_id": "73271873"}, {"ref": "jakeallison12/dolphins-defense-athletic-profiles", "kernel_id": "73292716"}, {"ref": "jakeallison12/ravens-run-or-pass-prediction", "kernel_id": "73647461"}, {"ref": "vidhanprajapati/nfl-big-data-bowl-database-data-cleaning-eda", "kernel_id": "73768391"}, {"ref": "thariti/thariti-sriviwattanakul-nfl-big-data-bowl-2025", "kernel_id": "73480955"}, {"ref": "sriharithirumaligai/nfl-big-data-bowl-play-prediction-attempt", "kernel_id": "73549463"}, {"ref": "niubhaihai/predict-the-target-receiver-availability", "kernel_id": "73924594"}, {"ref": "michaelulis/nfl-big-data-bowl-2025-michael-ulis", "kernel_id": "73961327"}, {"ref": "danielcaniel/animtest", "kernel_id": "73064425"}, {"ref": "collinlabutte1/wide-receiver-route-prediction-with-xgboost", "kernel_id": "73781271"}, {"ref": "madalynelwood/motion-metrics-te-motion-impact-on-rushing-lanes", "kernel_id": "73919314"}, {"ref": "adamkoplik/be-the-qb-optimizing-offensive-play-calls", "kernel_id": "73924172"}, {"ref": "liuwenchao1/dataanalysis2", "kernel_id": "73355174"}, {"ref": "benschweitzer78/predicting-run-vs-pass", "kernel_id": "73881613"}, {"ref": "oviemsaniyo/nfl-data", "kernel_id": "73002104"}, {"ref": "nehakotha/testingnotebook-bdb-2025", "kernel_id": "73918330"}, {"ref": "mah20050/notebook08b4f52b18-predicting-player-level-in-nfl", "kernel_id": "73880849"}, {"ref": "luqmaankhanswift/predicting-pass-outcome", "kernel_id": "73289831"}, {"ref": "carrielloyd/nfl-big-data-bowl-2025-competition-carrie-l", "kernel_id": "73873722"}, {"ref": "robertcrusejr/masr-pre-snap", "kernel_id": "73679709"}, {"ref": "calebbradberry/nfl-bowl-2025-3d-time-graph", "kernel_id": "73797725"}, {"ref": "calebbradberry/nfl-bowl-2025-3d-plot-hardcoded", "kernel_id": "73832739"}, {"ref": "jmartenstein/identifying-motion-events", "kernel_id": "74126579"}, {"ref": "zahid1/compare-models-and-ensemble", "kernel_id": "74061361"}, {"ref": "zahid1/prediction-certainty-analysis", "kernel_id": "74128695"}, {"ref": "tankshank/snap-timing-efficiency", "kernel_id": "74173407"}, {"ref": "jlmercer/there-is-no-one-size-fits-all-teams", "kernel_id": "74178952"}, {"ref": "davecpak/nfl-big-data-bowl-25-david-czerepak", "kernel_id": "74992847"}, {"ref": "rzachlamberty/predicting-run-vs-pass-pre-snap-75-accuracy", "kernel_id": "74170202"}, {"ref": "sidsriv/notebook08d6d706db", "kernel_id": "74168299"}, {"ref": "jessefis/nfl-big-data-bowl-2025-countering-motion", "kernel_id": "74072646"}, {"ref": "drewmalter12/sunday-afternoon-fever", "kernel_id": "74121854"}, {"ref": "erikhall/finding-the-spacemen", "kernel_id": "74127838"}, {"ref": "datalab351/which-pre-snap-motions-generate-an-offensive-edge", "kernel_id": "74178874"}, {"ref": "jyoung22/nflbigdata2025-prep", "kernel_id": "74185115"}, {"ref": "jyoung22/pre-snap-tells-relationship-to-success", "kernel_id": "74178256"}, {"ref": "ianasta23/bait-behavioural-adjustment-index-of-trickery", "kernel_id": "74086845"}, {"ref": "sp7242/defining-mysteries-with-orbits", "kernel_id": "74226828"}, {"ref": "hanru789/nfl-positioning-training-asistance", "kernel_id": "74084740"}, {"ref": "danoff/team-ic2-submission-for-2025-big-data-bowl", "kernel_id": "74139068"}, {"ref": "matheusgonzaga/read-the-defense-rush-coverage-predictability", "kernel_id": "74112423"}, {"ref": "aravdhoot/nfl-bigdatabowl", "kernel_id": "74151412"}, {"ref": "rouvenmichels/hmmotion-using-tracking-data-to-predict-coverage", "kernel_id": "74174242"}, {"ref": "vanshajvohra/tight-end-the-most-versatile-position", "kernel_id": "74116271"}, {"ref": "justinwatts/effective-motion-score", "kernel_id": "74174629"}, {"ref": "thomasgermano/motion-classification", "kernel_id": "74169629"}, {"ref": "kushtrivedi14728/perfectly-imperfect", "kernel_id": "74054577"}, {"ref": "andyy26/assessing-the-impact-of-motion-vs-coverage-type", "kernel_id": "74149093"}, {"ref": "allanpaiz/green-dog", "kernel_id": "74138981"}, {"ref": "farhaansiddiqui/nfl-bigdatabowl-2b1ab6", "kernel_id": "74173909"}, {"ref": "leighaderango/gan-for-mofo-mofc-prediction", "kernel_id": "74170356"}, {"ref": "bogdanturbal/explainable-pass-success-predictor-epsp-v2", "kernel_id": "74173484"}, {"ref": "simonsprings/dynamic-role-prediction", "kernel_id": "74115800"}, {"ref": "animeshjoshi475/pass-utility-optimization-via-utility-functions", "kernel_id": "74191094"}, {"ref": "jcinusa/unmasking-defensive-strategies", "kernel_id": "74167670"}, {"ref": "bencweber1/pre-snap-motion-and-pressure-in-the-nfl", "kernel_id": "74179452"}, {"ref": "dhruvgandhi85/dhruv-gandhi-nfl-data-bowl", "kernel_id": "74171806"}, {"ref": "drewshayotovich/defining-play-recognition-rates-for-defenders", "kernel_id": "74126285"}, {"ref": "brochillington/camo-the-art-of-pre-snap-disguise", "kernel_id": "74075211"}, {"ref": "chi1seuh/pmes-quantifying-pre-snap-motion-effectiveness", "kernel_id": "74177408"}, {"ref": "jarrettmarkman/showing-your-hand", "kernel_id": "74129570"}, {"ref": "riyadadlani/accurate-player-route-prediction-using-ml", "kernel_id": "74045400"}, {"ref": "javodealba/predicting-complete-pass-probabilities-with-graphs", "kernel_id": "74117319"}, {"ref": "antoniabeatrizsoler/nfl2025-phi3-ari", "kernel_id": "74017990"}, {"ref": "ashleighprugh2/pre-snap-motion-and-target-probability", "kernel_id": "74225769"}, {"ref": "kevinzhang8816/submission", "kernel_id": "74178507"}, {"ref": "jackvogelgesang/nfl-data-bowl-2025-pppi-metric-track", "kernel_id": "74065817"}, {"ref": "hiteshkarthik/nfl-big-data-bowl-2025-metric-track-2", "kernel_id": "74262369"}, {"ref": "justinfeedz/does-multiple-players-in-motion-aid-play-outcomes", "kernel_id": "74117670"}, {"ref": "sshah30/cat-and-mouse-motion-vs-defensive-alignment", "kernel_id": "74138727"}, {"ref": "ryanschwartz619/poetry-in-motion-leveraging-pre-snap-movement", "kernel_id": "74175945"}, {"ref": "swifty10/motion-generated-epa-surplus", "kernel_id": "74180033"}, {"ref": "alextrbovic/team-fsu-unpacking-pre-to-post-snap-dynamics", "kernel_id": "74116741"}, {"ref": "idh21001/nfl-bdb-2025-submission", "kernel_id": "74185193"}, {"ref": "maxfish/submisson-csv", "kernel_id": "74178004"}, {"ref": "joedubya/get-paid-presnap-adjustment-improves-defense", "kernel_id": "74177414"}, {"ref": "ceejay305/synergize-me", "kernel_id": "74134089"}, {"ref": "mehakiftikhar/nfl-big-data-bowl-complete-datasets-exploration", "kernel_id": "74100280"}, {"ref": "coltonwilliamz/nfl-small-data-bowl", "kernel_id": "74140258"}, {"ref": "coltonwilliamz/nfl-small-data", "kernel_id": "74179477"}, {"ref": "michael1o2/nfl-big-data-bowl", "kernel_id": "74077793"}, {"ref": "smitbajaj/exposing-coverage-tells-in-the-presnap", "kernel_id": "74062793"}, {"ref": "colejacobson/safety-entropy", "kernel_id": "74030428"}, {"ref": "jesseabrahams1/assessing-motion-types-and-their-effectiveness-1", "kernel_id": "74178896"}, {"ref": "benismyname/backfield-disruption-and-pocket-integrality", "kernel_id": "74026417"}, {"ref": "lukeneuendorf/motion-for-more", "kernel_id": "74127966"}, {"ref": "gianfavero/reading-the-field", "kernel_id": "74159223"}, {"ref": "ashleycovitz/exploratory-data-analysis", "kernel_id": "74107270"}, {"ref": "kevinbaer/defending-the-go-gos-predicting-slot-wr-routes", "kernel_id": "74128047"}, {"ref": "aaronshumer/predicting-qb-pressure-pre-snap", "kernel_id": "74113265"}, {"ref": "matthewrabin/pass-run-prediction", "kernel_id": "74173139"}, {"ref": "lukeblommesteyn/hot-potato-predicting-qb-time-to-throw", "kernel_id": "74121099"}, {"ref": "mikemeissner1020/the-pre-snap-puzzle-attached-te-route-or-block", "kernel_id": "74119658"}, {"ref": "arikrorie/chaos-engineered", "kernel_id": "74163751"}, {"ref": "tysayballwimmer/predicting-player-outcome-in-the-red-zone", "kernel_id": "74021266"}, {"ref": "shaneschwartz/messed-up-submission-big-data-bowl", "kernel_id": "74185517"}, {"ref": "jontorrence/probability-of-pre-snap-motion-usage-in-the-nfl", "kernel_id": "74078230"}, {"ref": "jakeallison12/dolphins-coverage-type-prediction", "kernel_id": "74010034"}, {"ref": "jakeallison12/dolphins-man-or-zone-coverage-prediction", "kernel_id": "74007197"}, {"ref": "sinhay/field-mapping-for-play-prediction", "kernel_id": "74176874"}, {"ref": "lauerjames/chase-a-new-metric-for-receiver-spatial-impact", "kernel_id": "74171494"}, {"ref": "cameronhopkins/redzone-intelligence", "kernel_id": "74018082"}, {"ref": "adildittmer/total-distance-of-presnap-motion", "kernel_id": "74138396"}, {"ref": "ameliedevine26/big-data-bowl-2025-predicting-defensive-scheme", "kernel_id": "74111953"}, {"ref": "dfgomez2024/nflbigdata-bowl-2025-pass-landing-spot-prediction", "kernel_id": "74092338"}, {"ref": "dfgomez2024/nflbigdatabowl-2025-pass-landing-spot-prediction", "kernel_id": "74166733"}, {"ref": "ericthesteinberg/tendenciq", "kernel_id": "74074470"}, {"ref": "lukeellis5/sf-run-pass-pre-snap-prediction", "kernel_id": "74118351"}, {"ref": "noahkatzman/enhanced-scouting-report-for-coaches", "kernel_id": "74021613"}, {"ref": "meganhunt12/determining-offensive-targets-kc-chiefs-study", "kernel_id": "74179023"}, {"ref": "justinferns/analyzing-routes-based-on-snap-alignment", "kernel_id": "74100702"}, {"ref": "oliviamassad/identifying-defensive-backs-blitzing-tendencies", "kernel_id": "74110829"}, {"ref": "gustavewm/predictive-model", "kernel_id": "74111158"}, {"ref": "dominichoarweiler/nfl-big-data-bowl", "kernel_id": "74130504"}, {"ref": "cardo14/predicting-wr-routes-through-pre-snap-motion", "kernel_id": "74128901"}, {"ref": "oliviadarby/defensive-dynamics-predicting-plays-with-motion", "kernel_id": "74177618"}, {"ref": "tintylerlai/ml-model-predicting-the-best-redzone-plays-v-1", "kernel_id": "74178448"}, {"ref": "bakhtiyoralimov/dent-defensive-entropy-in-the-nfl", "kernel_id": "74108192"}, {"ref": "willstokesv/bdb-motion-notebook", "kernel_id": "74175819"}, {"ref": "maxkaplan/pass-or-run", "kernel_id": "74112451"}, {"ref": "conordesmond/predicting-first-downs", "kernel_id": "74123849"}, {"ref": "edwardbrownhill/nfl-big-data-bowl-2025-redirection", "kernel_id": "74167270"}, {"ref": "ainegrubb/predictingplayactionpasses", "kernel_id": "74165447"}, {"ref": "aberaouh/nfl-big-data-bowl-25-play-type-classification", "kernel_id": "74176555"}, {"ref": "romanbukreev/clustering-pre-snap-movements-and-predicting-route", "kernel_id": "74175868"}, {"ref": "rekhadhanpal/nfl-2025-insight-on-pre-snap-special-situation", "kernel_id": "74121557"}, {"ref": "moneymoneymoney12138/nfl-play-prediction-using-ensemble-learning", "kernel_id": "74181205"}, {"ref": "erickrusinski/defensive-back-blitz-best-practices", "kernel_id": "74112538"}, {"ref": "calebbradberry/simple-voronoi-tesselations", "kernel_id": "74100990"}, {"ref": "abademosi/passing-play-predictive-analysis", "kernel_id": "74123680"}, {"ref": "danieldobrenz/predicting-home-team-wins-for-coaching-staff", "kernel_id": "75031499"}, {"ref": "teemusarikka/cnn-gradu-aftersnap", "kernel_id": "75504355"}, {"ref": "teemusarikka/mult-gradu-aftersnap", "kernel_id": "77459485"}, {"ref": "teemusarikka/xgboost-gradu-aftersnap", "kernel_id": "77585698"}, {"ref": "teemusarikka/logreg-gradu-aftersnap", "kernel_id": "77788801"}, {"ref": "teemusarikka/cnn2d-gradu-aftersnap", "kernel_id": "79032195"}, {"ref": "aimanfarizz/aiman-bdb-25", "kernel_id": "82087510"}, {"ref": "mah20050/bulid-neural-network-for-image-car-accidents", "kernel_id": "93096941"}, {"ref": "vishakhsandwar/modeling-with-transformers-2026", "kernel_id": "97286538"}]}
{"competition_id": "84180", "kernels": [{"ref": "killa92/data-analysis-and-visualization", "kernel_id": "71651347"}]}
{"competition_id": "84197", "kernels": []}
{"competition_id": "84203", "kernels": []}
{"competition_id": "84204", "kernels": []}
{"competition_id": "84205", "kernels": []}
{"competition_id": "84206", "kernels": [{"ref": "octahedronbb/k-means-clustering-xm", "kernel_id": "64809593"}, {"ref": "tiaranisibarani/12s22037-week13", "kernel_id": "71215456"}, {"ref": "meilynasahutajulu/k-means", "kernel_id": "71651761"}, {"ref": "lionytamaralewinsky/12s22019", "kernel_id": "71215946"}, {"ref": "bronsontmsiallagan/12s22025-bronsonsiallagan", "kernel_id": "71216145"}, {"ref": "wilsonsihombing/workbook", "kernel_id": "71552904"}, {"ref": "adeyazekasiahaan/notebook1", "kernel_id": "71595633"}, {"ref": "brainwonderson/notebook5785bcfae8", "kernel_id": "71743267"}, {"ref": "katrina14/notebookfd42618b43", "kernel_id": "71215556"}, {"ref": "winfreynainggolan/k-means-winfrey-nainggolan", "kernel_id": "71621010"}, {"ref": "ruthseptiana/12s22042-practicum07", "kernel_id": "71673806"}, {"ref": "tamarayunika/12s22007", "kernel_id": "71616597"}, {"ref": "samuelsitio/12s22032-samuel-janring-sitio", "kernel_id": "71383963"}, {"ref": "jeremysamosir/12s22029-jeremy-samosir-k-means-clustering-xm", "kernel_id": "71736532"}, {"ref": "dolokbutarbutar/12s22009-dolok-butarbutar", "kernel_id": "71218091"}, {"ref": "bryanevanssss/12s22030-bryanevans", "kernel_id": "71215088"}, {"ref": "indahelisasihombing/12s22041-indah-e-sihombing", "kernel_id": "71371611"}, {"ref": "keziahutagaol/12s22014-kezia-hutagaol", "kernel_id": "71650586"}, {"ref": "angelinanadeak/12s22015-angelinanadeak", "kernel_id": "71760400"}, {"ref": "mickaelsitompul/12s22033-mickaelhs", "kernel_id": "71617820"}, {"ref": "mulyadisiahaan/k-means-12s22034", "kernel_id": "71215360"}, {"ref": "cintyasitorus/12s22045-cintya-sitoruss", "kernel_id": "71216412"}, {"ref": "yohanasitanggang/yotank", "kernel_id": "71735539"}, {"ref": "graciapurba/12s22040gracia-purba", "kernel_id": "71733673"}, {"ref": "rosarisimanjuntak/12s22052-rosari-simanjuntak", "kernel_id": "71677682"}, {"ref": "jesicasiburian/12s22018-jesica-angreni-m-siburian", "kernel_id": "71615199"}, {"ref": "krisniacalysta/12s22021-krisnia-calysta-siahaan-k-means", "kernel_id": "71735921"}, {"ref": "gracesiahaan/k-means-12s22022", "kernel_id": "71732902"}, {"ref": "jufourlisasirait/jufourlisa-sirait", "kernel_id": "71736611"}, {"ref": "beatricesiahaan/12s22020-k-means", "kernel_id": "71666294"}, {"ref": "ernisarumaha/12s22047-erni", "kernel_id": "71215772"}, {"ref": "irasilalahi/ira-silalahi", "kernel_id": "71692066"}, {"ref": "lennafebrianahutapea/notebooke039523d79", "kernel_id": "71605271"}, {"ref": "agnesharefa/12s22049-kmeans", "kernel_id": "71665877"}, {"ref": "desridabukke/12s22016-desri-dabukke-k-means", "kernel_id": "71219563"}, {"ref": "nikitasimanjuntak/nikita-simanjuntak", "kernel_id": "71224394"}, {"ref": "rubenmartogi/12s22026-ruben-sianipar", "kernel_id": "71223053"}, {"ref": "rahelsimanjuntak2909/12s22008", "kernel_id": "71215806"}, {"ref": "difyaambarita/12s22046-difya-laurensya-ambarita", "kernel_id": "71216676"}, {"ref": "ferrypanjaitan/12s22027-ferry-ando-h-o-panjaitan", "kernel_id": "71665028"}, {"ref": "reinhardbatubara/12s22012-reinhard-batubara-k-means-final-1", "kernel_id": "71647871"}, {"ref": "reinhardbatubara/asdadsadasd", "kernel_id": "71573892"}, {"ref": "christoffeltheofani/12s22013-christoffel-napitupulu", "kernel_id": "71218768"}, {"ref": "yohanasiahaan/12s22003-yohana-n-siahaan", "kernel_id": "71613241"}, {"ref": "chikasitumorang/notebook0c72215280", "kernel_id": "71764176"}, {"ref": "tennov/12s22028", "kernel_id": "71728647"}, {"ref": "tennov/12s22028-tennovpakpahan-k-mean", "kernel_id": "71219568"}, {"ref": "bethaniahasibuann/bethania-hasibuan-12s22004", "kernel_id": "71663543"}, {"ref": "pimpinahaswerosloi/12s22024-pimpin", "kernel_id": "71737639"}, {"ref": "feliceanggiesirait/12s22006-k-means-clustering", "kernel_id": "71650636"}, {"ref": "osmanozcanli/kmeans-clustering", "kernel_id": "110316257"}]}
{"competition_id": "84208", "kernels": []}
{"competition_id": "84209", "kernels": [{"ref": "saeedaldarmaki/leaf-dectector", "kernel_id": "69646314"}, {"ref": "karmawangyal123/healthy-vs-diseased-leaf", "kernel_id": "70918724"}, {"ref": "bob35techx/notebook31b22bf03e", "kernel_id": "70479910"}, {"ref": "sameedabdulquddoos/sameedkaggle1", "kernel_id": "72744111"}, {"ref": "justinsteve/leaf-detection-with-transfer-learning", "kernel_id": "73166879"}, {"ref": "dianallamocaz/leafdetection-classification", "kernel_id": "74061816"}]}
{"competition_id": "84211", "kernels": [{"ref": "abdullah0a/nlp-sentiment-analysis-99", "kernel_id": "65689422"}, {"ref": "shahzaibmalik44/nlp-sentiment-analysis", "kernel_id": "65639661"}, {"ref": "shahbodsobhkhiz/sentiment-analysis-xm", "kernel_id": "65579481"}, {"ref": "ndkvin/sentiment-analys", "kernel_id": "66018367"}, {"ref": "snigy23/sentiment-analysis-huggingface", "kernel_id": "70651258"}, {"ref": "aslemimolu/nlp-sentiment-analysis-xm-99", "kernel_id": "70948330"}, {"ref": "joel1310/sentiment-analysis-using-bert", "kernel_id": "78531497"}, {"ref": "xunkhimnguyn/nlp-sentiment-analysis-1", "kernel_id": "88390035"}, {"ref": "tungdd2009/nlp-sentiment-analysis-xm-attempt-1-nb-local", "kernel_id": "97019665"}]}
{"competition_id": "84222", "kernels": []}
{"competition_id": "84224", "kernels": []}
{"competition_id": "84225", "kernels": []}
{"competition_id": "84253", "kernels": [{"ref": "antriksharya/basic-data-preprocessing-and-feature-selection", "kernel_id": "64617085"}, {"ref": "newtonbaba12345/first-steps-in-data-science-tutorial-submission", "kernel_id": "64592199"}, {"ref": "aryanbaibaswata/notebook525d6db4b0", "kernel_id": "64622112"}, {"ref": "aryanbaibaswata/tinker-copy", "kernel_id": "64638657"}, {"ref": "aryanbaibaswata/notebook625cb0b924", "kernel_id": "64726188"}, {"ref": "aryanbaibaswata/notebook9b444e34d6", "kernel_id": "64706676"}, {"ref": "prathamsrivastava24/notebook29b8b2b0f1", "kernel_id": "64653392"}, {"ref": "jagratsingh04/gdsc-team-sample-submission", "kernel_id": "64723998"}, {"ref": "jagratsingh04/random-forest-sample", "kernel_id": "64674220"}, {"ref": "eshivam/gdsc-final", "kernel_id": "64706286"}, {"ref": "anmolgargnsut/gdsc-competition", "kernel_id": "64609231"}, {"ref": "harshdipsaha/hyperparameter-and-stacking-try", "kernel_id": "64691018"}, {"ref": "bhavyachhabra0116/first-steps-in-data-science20", "kernel_id": "64677281"}, {"ref": "satvikguptaaaa/mynotebook", "kernel_id": "64597284"}, {"ref": "azureruby/huaha", "kernel_id": "64706269"}, {"ref": "deepanshuy1895/first-steps-in-data-science-tutorial-deepanshu", "kernel_id": "64660175"}]}
{"competition_id": "84255", "kernels": []}
{"competition_id": "84271", "kernels": []}
{"competition_id": "84278", "kernels": [{"ref": "psuzume/tutorial-ipynb", "kernel_id": "65097686"}]}
{"competition_id": "84281", "kernels": []}
{"competition_id": "84284", "kernels": []}
{"competition_id": "84292", "kernels": []}
{"competition_id": "84294", "kernels": [{"ref": "yeetened/smoking-data", "kernel_id": "75053318"}, {"ref": "sonnghm/se151025-sonnhm", "kernel_id": "75038598"}, {"ref": "alamukiiraakha/smoking-binary-prediction-using-bio-signals", "kernel_id": "77735703"}]}
{"competition_id": "84298", "kernels": [{"ref": "yihan727/2024-9-2-2000", "kernel_id": "65124926"}]}
{"competition_id": "84302", "kernels": [{"ref": "shaoon/experiment-eda", "kernel_id": "64754634"}]}
{"competition_id": "84307", "kernels": []}
{"competition_id": "84315", "kernels": [{"ref": "log1c3232/cryptocurrency-price-direction-predictor", "kernel_id": "66730973"}]}
{"competition_id": "84318", "kernels": []}
{"competition_id": "84325", "kernels": []}
{"competition_id": "84331", "kernels": []}
{"competition_id": "84342", "kernels": [{"ref": "piotrek40941/gradient-boosting-forecasting-blueberry-yield", "kernel_id": "72387071"}, {"ref": "metin2/bluberry-yield-forcasting", "kernel_id": "73523984"}]}
{"competition_id": "84361", "kernels": []}
{"competition_id": "84362", "kernels": []}
{"competition_id": "84365", "kernels": []}
{"competition_id": "84385", "kernels": []}
{"competition_id": "84386", "kernels": []}
{"competition_id": "84419", "kernels": []}
{"competition_id": "84465", "kernels": []}
{"competition_id": "84467", "kernels": []}
{"competition_id": "84470", "kernels": []}
{"competition_id": "84481", "kernels": []}
{"competition_id": "84482", "kernels": [{"ref": "piotrek40941/pet-food-demand-forecasting", "kernel_id": "71633398"}]}
{"competition_id": "84489", "kernels": []}
{"competition_id": "84493", "kernels": [{"ref": "samanthahassal/jane-street-notebook", "kernel_id": "66357691"}, {"ref": "pib73nl/janestreet-rtmdf-eda", "kernel_id": "67766033"}, {"ref": "shiyili/js2024-rmf-understanding-the-data", "kernel_id": "67716771"}, {"ref": "shiyili/js24-rmf-submission-api-debug-with-synthetic-test", "kernel_id": "67929560"}, {"ref": "shiyili/js2024-rmf-gru-inference", "kernel_id": "67987490"}, {"ref": "docxian/jane-street-market-data-forecast-first-steps", "kernel_id": "67720567"}, {"ref": "missgranger/jane-street-vol-1-how-does-the-data-look-like", "kernel_id": "67807762"}, {"ref": "carlolepelaars/understanding-the-metric-weighted-r-squared", "kernel_id": "67845101"}, {"ref": "ryanholbrook/jane-street-rmf-demo-submission", "kernel_id": "67263608"}, {"ref": "ahsuna123/jane-street-24-day-0-eda-and-feature-importance", "kernel_id": "67766553"}, {"ref": "mpwolke/plotting-on-jane-street", "kernel_id": "67732483"}, {"ref": "wguesdon/jane-street-real-time-market-data-forecasting", "kernel_id": "67716243"}, {"ref": "yuanzhezhou/jane-street-baseline-lgb-xgb-and-catboost", "kernel_id": "67717730"}, {"ref": "farhankardan/weight-based-analysis-3d-analysis-xgboost", "kernel_id": "67888074"}, {"ref": "shubhamcodez/jane-streeeeeeeeeeeeet", "kernel_id": "67838723"}, {"ref": "takaito/jsr-tmdf-gradient-boosting-models-training", "kernel_id": "67733074"}, {"ref": "takaito/jsr-tmdf-gradient-boosting-models-inference", "kernel_id": "67736464"}, {"ref": "mos3santos/jane-street-real-time-market-data", "kernel_id": "67854885"}, {"ref": "mos3santos/jane-street-market-prediction", "kernel_id": "67937152"}, {"ref": "motono0223/eda-jane-street-real-time-market-data-forecasting", "kernel_id": "67700556"}, {"ref": "ravi20076/janestreet2024-imports-v1", "kernel_id": "67716141"}, {"ref": "ravi20076/janestreet2024-dataload-v1", "kernel_id": "67747893"}, {"ref": "ravi20076/janestreet2024-autogluon-import", "kernel_id": "67853738"}, {"ref": "ravi20076/janestreet2024-baseline-submission-v1", "kernel_id": "67852057"}, {"ref": "ravi20076/janestreet2024-baseline-train-v1", "kernel_id": "67851168"}, {"ref": "ravi20076/janestreet2024-eda-dataload-v1", "kernel_id": "67849921"}, {"ref": "babydriver1233/jane-street-real-time-market-data-forecasting", "kernel_id": "67885078"}, {"ref": "chanpreetsingh07/responder-analysis-3b1b", "kernel_id": "67751300"}, {"ref": "yoshidaray/timeseries-data", "kernel_id": "67997520"}, {"ref": "yolovo/exploration-relationships-among-responders", "kernel_id": "67832427"}, {"ref": "backpaker/jane-street-cat-base", "kernel_id": "67824923"}, {"ref": "vishnupriyagarige/jane-street-real-time-market-data-forecasting", "kernel_id": "67859830"}, {"ref": "yunsuxiaozi/js-ridge-baseline", "kernel_id": "67858977"}, {"ref": "malakafaqahmad/features-engineering-on-janestreet", "kernel_id": "67894548"}, {"ref": "malakafaqahmad/xgboost-and-lstm", "kernel_id": "67697797"}, {"ref": "wangapa106g/jane-street-prediction", "kernel_id": "67882267"}, {"ref": "keshavkumar101/jane-street-keshav", "kernel_id": "67872074"}, {"ref": "wjjjjs/what-is-responder-6", "kernel_id": "67804503"}, {"ref": "swarms/jane-street-rmf-demo-submission", "kernel_id": "67868841"}, {"ref": "joshualamouchejosh/notebook113e079c06", "kernel_id": "67939528"}, {"ref": "johnfariasgiraldo/understand-data", "kernel_id": "67948285"}, {"ref": "alexeigor/features-density-by-symbol-id", "kernel_id": "68728895"}, {"ref": "addison/exploratory-data-analysis-public-ag", "kernel_id": "68046168"}, {"ref": "rickpack/r-basic-catboost-random-seed-ensemble", "kernel_id": "68599255"}, {"ref": "rghiglia/rg-test", "kernel_id": "68893389"}, {"ref": "kumaranand/code-2-successful", "kernel_id": "68337129"}, {"ref": "shiyili/js2024-rmf-mlp-inference-pytorch", "kernel_id": "68710277"}, {"ref": "shiyili/js-tensorflow-debug", "kernel_id": "68344440"}, {"ref": "benjibb/jane-street-real-time-pytorch-baseline", "kernel_id": "68667158"}, {"ref": "lacsirjohn/xgboost0", "kernel_id": "68854236"}, {"ref": "ulrich07/js-tensorflow-debug", "kernel_id": "68319624"}, {"ref": "alexjmartinez/jane-street-2024-eda-starter", "kernel_id": "68921309"}, {"ref": "marketneutral/jane-street-2024-rtm-fold-prep", "kernel_id": "68361929"}, {"ref": "michau96/jane-street-features-by-financial-instruments", "kernel_id": "68093399"}, {"ref": "stpeteishii/jane-street-data-view", "kernel_id": "68035674"}, {"ref": "ahsuna123/tag-network-analysis-networkx-gephi", "kernel_id": "68518802"}, {"ref": "tarriaza/basic-pytorch-lstm", "kernel_id": "68983651"}, {"ref": "chumajin/janestreet-easy-to-understand-new-time-series-api", "kernel_id": "68037980"}, {"ref": "chumajin/metric-simulation-of-clipped-r2-score", "kernel_id": "68137885"}, {"ref": "chumajin/janestreet-updated-simulator-for-time-series-api", "kernel_id": "68325373"}, {"ref": "marshallmunschh/001-summary-features", "kernel_id": "68004395"}, {"ref": "marshallmunschh/002-validate-train", "kernel_id": "68014913"}, {"ref": "lonnieqin/jane-street-rmf-with-tensorflow", "kernel_id": "68171509"}, {"ref": "saishsawant/lgbm-training", "kernel_id": "68902941"}, {"ref": "saishsawant/market-forecasting-jane-street", "kernel_id": "68144314"}, {"ref": "tomaszszyrowski/tszyrowski-jane-street-first-eda", "kernel_id": "68408098"}, {"ref": "tomaszszyrowski/tszyrowski-jane-street-first-model", "kernel_id": "68416585"}, {"ref": "suyashviraaj/explanatory-feature-analysis-data-decomposition", "kernel_id": "68734344"}, {"ref": "ywgann/jane-street-eda-feature-scoring-modification", "kernel_id": "68901231"}, {"ref": "cy4ego/js-train-infer-lgbm-xgb-cat-w-custom-eval", "kernel_id": "68128537"}, {"ref": "cyberpunker1993/transformer-test2", "kernel_id": "68519504"}, {"ref": "jagofc/js24-daily-responder-distributions", "kernel_id": "68358262"}, {"ref": "motono0223/eda-v2-jane-street-real-time-market-forecasting", "kernel_id": "68905754"}, {"ref": "jerometam/js-base-pytorch", "kernel_id": "68498581"}, {"ref": "jerometam/js-pytorch-submission", "kernel_id": "68549881"}, {"ref": "yh00722/jane-street-baseline", "kernel_id": "68707555"}, {"ref": "yoshidaray/timeseries-train", "kernel_id": "68035616"}, {"ref": "dasbro/janestreet-xgb-dataload-kfold", "kernel_id": "68707134"}, {"ref": "dasbro/janestreet-lgbm-dataload-kfold-baseline", "kernel_id": "68454417"}, {"ref": "vishnupriyagarige/js-real-time-market-data-forecast-xgb", "kernel_id": "68011839"}, {"ref": "jimngn/prediction-model", "kernel_id": "68512337"}, {"ref": "zenithgupta/jane-street-improved-ensemble", "kernel_id": "68474821"}, {"ref": "isabelamariayepes/explanatory-feature-analysis", "kernel_id": "68239585"}, {"ref": "bradybwu/js24-mlp-bw", "kernel_id": "68437807"}, {"ref": "ccyhui/jane-street-2024-lstm-with-auxiliary-features", "kernel_id": "68730385"}, {"ref": "aymanallawi/basic-insights-on-missing-values", "kernel_id": "68407017"}, {"ref": "sofianechehboune/financial-market-analysis-project-jane-street-ml", "kernel_id": "68024036"}, {"ref": "gagandeep44489/eda-finacial-projects", "kernel_id": "68389034"}, {"ref": "abdmental01/js-get-started-single-lgbm", "kernel_id": "68353784"}, {"ref": "abdullah0a/real-time-market-data-forecasting", "kernel_id": "68870650"}, {"ref": "abdullah0a/jane-street-ensemble-models", "kernel_id": "68901835"}, {"ref": "feiwenxuan/janestreet2024", "kernel_id": "68143599"}, {"ref": "margaritelli/jane-street-ensemble-baseline", "kernel_id": "68657056"}, {"ref": "askkip1/data-visualisation-jane-street", "kernel_id": "68165479"}, {"ref": "taimoor888/forecasting-market-trends-using-machine-learning", "kernel_id": "68150228"}, {"ref": "mikaelawiedenhoff/xgboost-jane-market", "kernel_id": "68874053"}, {"ref": "gbr3zzy/10-17-test", "kernel_id": "68025142"}, {"ref": "hansu214/janestreet-simulator-for-time-series-api", "kernel_id": "68406059"}, {"ref": "rickpack/r-basic-random-forest-variable-importance", "kernel_id": "69453276"}, {"ref": "rickpack/random-forest", "kernel_id": "69694153"}, {"ref": "shradz18/exploratory-data-analysis-jane-street", "kernel_id": "69353469"}, {"ref": "narendra/eda-simple-heuristic-models", "kernel_id": "69928963"}, {"ref": "anidreamer/jane-street-eda-part-1", "kernel_id": "69889891"}, {"ref": "alexjmartinez/js24-optuna-randomforest-training", "kernel_id": "69535658"}, {"ref": "alexjmartinez/jane-street-2024-eda-moving-averages", "kernel_id": "69462916"}, {"ref": "voix97/jane-street-rmf-inference-nn-with-pytorch", "kernel_id": "69815325"}, {"ref": "voix97/jane-street-rmf-inference-nn-xgb", "kernel_id": "69725013"}, {"ref": "stpeteishii/jane-street-optuna-catboost", "kernel_id": "69114813"}, {"ref": "stpeteishii/jane-street-catboost-w-trained-model-submission", "kernel_id": "69130165"}, {"ref": "stpeteishii/jane-street-lgbm-w-best-trial-submission", "kernel_id": "69107015"}, {"ref": "stpeteishii/jane-street-optuna-lgbm", "kernel_id": "69017162"}, {"ref": "stpeteishii/jane-street-lgbm-w-trained-model-submission", "kernel_id": "69372431"}, {"ref": "elusiveelephant/janestreetr-demo-submission", "kernel_id": "69943961"}, {"ref": "tangtunyu/js24-preprocessing-create-lags", "kernel_id": "69252682"}, {"ref": "lifuhaha/analysis-of-weight-by-symbol-id", "kernel_id": "69591958"}, {"ref": "lonnieqin/jane-street-rmf-with-pytorch", "kernel_id": "69945024"}, {"ref": "simonedegasperis/starter-eda", "kernel_id": "69938335"}, {"ref": "ywgann/jane-street-eda-feature-scoring", "kernel_id": "69196705"}, {"ref": "mizaazir/jane-street-data-pre-processing", "kernel_id": "69241357"}, {"ref": "motono0223/js24-train-gbdt-model-with-lags-singlemodel", "kernel_id": "69257572"}, {"ref": "motono0223/js24-inference-gbdt-with-lags-singlemodel", "kernel_id": "69147495"}, {"ref": "motono0223/js24-preprocessing-create-lags", "kernel_id": "69143403"}, {"ref": "ravi20076/janestreet2024-polarssqldemo", "kernel_id": "69111169"}, {"ref": "ravi20076/janestreet2024-eda-v1", "kernel_id": "69007719"}, {"ref": "juntaosun/eda-jane-street-real-time-market-data-forecasting", "kernel_id": "69327830"}, {"ref": "sebastianocastellan/jane-street-market-prediction", "kernel_id": "69172497"}, {"ref": "sebastianocastellan/jane-street-market-prediction-2", "kernel_id": "69173943"}, {"ref": "adomaslvu/jane-street-rtdf-eda-notebook", "kernel_id": "69064723"}, {"ref": "vcsaisanthosh/notebook05b22e51ec", "kernel_id": "69099140"}, {"ref": "yunsuxiaozi/js2024-synthetic-data-with-purgedkfold", "kernel_id": "69551122"}, {"ref": "yunsuxiaozi/js2024-starter", "kernel_id": "69280032"}, {"ref": "keyboredcat/jane-street-rmf-with-tensorflow", "kernel_id": "69689562"}, {"ref": "keyboredcat/js24-inference-gbdt-with-lags-singlemodel", "kernel_id": "69772558"}, {"ref": "keyboredcat/jane-street-baseline-lgb-xgb-and-catboost-v2", "kernel_id": "69736737"}, {"ref": "shreeshabhat1004/jane-street-competition", "kernel_id": "69731311"}, {"ref": "haydentibbals/js-v3-light-pre-gmb", "kernel_id": "69150486"}, {"ref": "nosh72/first-draft", "kernel_id": "69359649"}, {"ref": "william178/jane-street-financial-market-responders-upvote", "kernel_id": "69547481"}, {"ref": "happykiter/use-mean-of-lags", "kernel_id": "69018034"}, {"ref": "houserobbery/js-eda", "kernel_id": "69037978"}, {"ref": "alexwhitem/eda-js-ts-predicting", "kernel_id": "69419319"}, {"ref": "negi2105/deep-learning-project", "kernel_id": "69818971"}, {"ref": "alokkumar175358/jane-real-street", "kernel_id": "69414707"}, {"ref": "muhammaddawood42/jane-street-baseline-lgb-xgb-and-catboost", "kernel_id": "69484224"}, {"ref": "monica1020ts/msjane20241102", "kernel_id": "69584193"}, {"ref": "levilucena/jane-street-levilucena", "kernel_id": "69153179"}, {"ref": "benxiangxiao/jane-street-real-time-market-data-forecast", "kernel_id": "69409149"}, {"ref": "narendra/eda-autoregression-features-vs-target", "kernel_id": "70775685"}, {"ref": "kevinlam/2024-jane-street-preprocessing-public", "kernel_id": "70897442"}, {"ref": "kevinlam/2024-js-train-xgb-on-kaggle-with-large-data", "kernel_id": "70908839"}, {"ref": "serjhenrique/jsrtmdf-walk-forward-valid-baseline-train", "kernel_id": "70125052"}, {"ref": "alexjmartinez/js24-eda-finding-the-best-model", "kernel_id": "70736910"}, {"ref": "voix97/jane-street-rmf-training-nn", "kernel_id": "70599114"}, {"ref": "stpeteishii/jane-street-visualize-importance", "kernel_id": "70857267"}, {"ref": "takanashihumbert/js-single-model-baseline-n-lags-chinese-ver", "kernel_id": "70049841"}, {"ref": "jonnyd118118/attempt-4-new", "kernel_id": "70089846"}, {"ref": "benjenkins96/jane-street-xgboost", "kernel_id": "70629719"}, {"ref": "benjenkins96/jane-street-comprehensive-analysis", "kernel_id": "70386882"}, {"ref": "lonnieqin/jane-street-rmf-computing-feature-statistics", "kernel_id": "70118593"}, {"ref": "lonnieqin/jane-street-rmf-tensorflow-custom-training-loop", "kernel_id": "70743360"}, {"ref": "zoutain/colab-kaggle-api", "kernel_id": "70764398"}, {"ref": "zoutain/xgb-baseline-from-train-to-submit", "kernel_id": "70023927"}, {"ref": "nikhileshbelulkar/jane-street-submission-nikhilesh", "kernel_id": "70622690"}, {"ref": "regisvargas/jane-street-a-beginner-s-notebook", "kernel_id": "70085095"}, {"ref": "regisvargas/inference-jane-street-a-beginner-s-notebook", "kernel_id": "70293900"}, {"ref": "daniilvolkov/js24-prepare-data-pkl-gz-output", "kernel_id": "70154087"}, {"ref": "nicolesy/lgbm-baseline-simple-submission", "kernel_id": "70903377"}, {"ref": "carlosgaravatti/jane-street-2024-linear-regression", "kernel_id": "70801798"}, {"ref": "suehuynh/jane-street-rmf-train-xgb-lgbm-cat", "kernel_id": "70908106"}, {"ref": "peach785/js-market-boosting-train", "kernel_id": "70189849"}, {"ref": "hallojong0319/lstm-baseline-pytorch", "kernel_id": "70384424"}, {"ref": "tyuyamato/754859", "kernel_id": "70913466"}, {"ref": "tyuyamato/js24-inference-gbdt-with-lags-singlemodel", "kernel_id": "70911726"}, {"ref": "anwarhawash/pure-jane-street-rmf-training", "kernel_id": "70930978"}, {"ref": "edoardoberardi/notebook43fd58c98c", "kernel_id": "70734950"}, {"ref": "yunsuxiaozi/js2024-synthetic-data-for-offline-cv", "kernel_id": "70790028"}, {"ref": "nawazhaider/jane-street-2024-lgbm", "kernel_id": "70445146"}, {"ref": "nawazhaider/jane-street-2024-linear", "kernel_id": "70584502"}, {"ref": "stefanuifalean2/model-1", "kernel_id": "70618286"}, {"ref": "huaijinzheng/basic-pytorch-lstm", "kernel_id": "70177032"}, {"ref": "i2nfinit3y/jane-street-tabm-ft-transformer-training", "kernel_id": "70684378"}, {"ref": "i2nfinit3y/jane-street-tabm-ft-transformer-inference", "kernel_id": "70918000"}, {"ref": "arienf/jane-street-start", "kernel_id": "70248569"}, {"ref": "ivanputrapratama/emission", "kernel_id": "70943619"}, {"ref": "prabhatkumarsahu1947/boosting-m", "kernel_id": "70764093"}, {"ref": "xiaoleilian/jane-street-2024-ml", "kernel_id": "70248638"}, {"ref": "feiwenxuan/jane-street-rmf-nn-xg-bannotated-version", "kernel_id": "70421149"}, {"ref": "margaritelli/js-createlags", "kernel_id": "70029928"}, {"ref": "margaritelli/js-weighted-ensemble-inferencev2", "kernel_id": "70986696"}, {"ref": "longnt123/jane-street-real-all", "kernel_id": "70219850"}, {"ref": "mikesaintantoine/mike-attempt1", "kernel_id": "70915528"}, {"ref": "yechaochen/js-cyc-1", "kernel_id": "70247252"}, {"ref": "xiaomei12/notebooked003b283f", "kernel_id": "70919853"}, {"ref": "yihonglijam/jane-street-kaggle-jamlee", "kernel_id": "70297127"}, {"ref": "cuiyuhao/kingdyw222", "kernel_id": "70672063"}, {"ref": "vroger11/quick-dataset-analysis-and-suggestions", "kernel_id": "71712457"}, {"ref": "edlin125/linearregression", "kernel_id": "71555733"}, {"ref": "davidlkl/jane-street-eda", "kernel_id": "71961807"}, {"ref": "kvik007/jane-street-time-constant-liquid-neural-networks", "kernel_id": "71220330"}, {"ref": "tangtunyu/js-2024-online-training-trial", "kernel_id": "71391924"}, {"ref": "allegich/jane-street-time-series-analysis-eda-ensemble", "kernel_id": "71869611"}, {"ref": "rohitdileep/js-optuna-lightgbm", "kernel_id": "71335343"}, {"ref": "simonedegasperis/2-train-with-lags", "kernel_id": "71441422"}, {"ref": "simonedegasperis/3-inference-lightgbm-xgb", "kernel_id": "71797048"}, {"ref": "regisvargas/v10-mae-and-r-squared", "kernel_id": "71873778"}, {"ref": "lolislayer/js24-preprocessing-create-lags", "kernel_id": "71311630"}, {"ref": "lolislayer/js24-algorithm-testing", "kernel_id": "71874404"}, {"ref": "ayoubchouikha/jane-street-eda-feature-understanding", "kernel_id": "71079985"}, {"ref": "andrew1024/ridge-model-inference", "kernel_id": "71537127"}, {"ref": "nicolesy/data-pre-processing-memory-and-missing-value", "kernel_id": "71989526"}, {"ref": "sabreenelkamash/jane-street-real-time-market-data-forecasting", "kernel_id": "71637408"}, {"ref": "carlosgaravatti/jane-street-2024-lightgbm-feature-engineering", "kernel_id": "71790776"}, {"ref": "makyriacou/xgb-rf", "kernel_id": "71963254"}, {"ref": "khandokeranan/jsb-anan", "kernel_id": "71018375"}, {"ref": "rahulpatil5908/jane-street-rmf", "kernel_id": "71742187"}, {"ref": "chanpreetsingh07/jane-street-ensemble-of-solutions", "kernel_id": "71029324"}, {"ref": "xuanleekaggle/jane-street-tmp-solution", "kernel_id": "71149219"}, {"ref": "grooper/js24-preprocessing-create-lags-forked", "kernel_id": "71162623"}, {"ref": "qihaowu/notebook561136f454", "kernel_id": "71131871"}, {"ref": "adomaslvu/jane-street-rtdf-gdbt-submission-notebook-2", "kernel_id": "71880764"}, {"ref": "adomaslvu/jane-street-rtdf-gdbt-submission-notebook", "kernel_id": "71572896"}, {"ref": "errantwings/exjs-pretest-re", "kernel_id": "71044339"}, {"ref": "eu1234/weighted-r2-as-custom-loss-function", "kernel_id": "71778501"}, {"ref": "stefanhembappe/jane-street-a-beginner-s-notebook", "kernel_id": "71383491"}, {"ref": "mostafa3apre7em/nti-huawei", "kernel_id": "71852289"}, {"ref": "mostafa3apre7em/notebook1", "kernel_id": "71469458"}, {"ref": "luisdanielruiz/jane-street-rmf-inference-nn-xgb", "kernel_id": "71799505"}, {"ref": "mahmoudabdelnasser/jane-street-v1", "kernel_id": "71539495"}, {"ref": "harshavardhankonisa/immutables-jsrmf", "kernel_id": "71241715"}, {"ref": "yiconghuangkaitong/jane-street-model-train-and-predict", "kernel_id": "71683450"}, {"ref": "mischa88/jane-street-rmf-demo-submission", "kernel_id": "71042668"}, {"ref": "smilingsun/js24-bw", "kernel_id": "71621356"}, {"ref": "seamusbarnes/jane-street-linearregression", "kernel_id": "71164391"}, {"ref": "harsimran726/jane-street-harsimran-singh", "kernel_id": "71211104"}, {"ref": "sudhirsars/jn-tester", "kernel_id": "71884771"}, {"ref": "sudhirsars/trainer-jn", "kernel_id": "71884125"}, {"ref": "bharathvalluri/janest-rt-mf-eda", "kernel_id": "71659254"}, {"ref": "ititsam/jane-street-tmp-solution", "kernel_id": "71574848"}, {"ref": "sachintiwari01/jane-street-trial1", "kernel_id": "71915435"}, {"ref": "wowceeee/janestreet1", "kernel_id": "71501598"}, {"ref": "diantu/js-baseline-lgb", "kernel_id": "71194160"}, {"ref": "mathsguy/notebookfdfa4f6782https-www-kaggle-com-code", "kernel_id": "71994059"}, {"ref": "innerway/jane-street-rmf-inference-nn-xgb", "kernel_id": "71687217"}, {"ref": "pib73nl/janestreet-rtmdf-auxiliary-data", "kernel_id": "72152858"}, {"ref": "davidlkl/jane-street-inferencing", "kernel_id": "72123966"}, {"ref": "davidlkl/jane-street-preprocessing", "kernel_id": "72016506"}, {"ref": "davidlkl/jane-street-training", "kernel_id": "72020877"}, {"ref": "serjhenrique/jrtsmdf-arima-online-learning", "kernel_id": "72128574"}, {"ref": "serjhenrique/jsrtmdf-lgbm-online-learning-evaluation-pb", "kernel_id": "72318779"}, {"ref": "serjhenrique/jsrtmdf-lgbm-online-learning-pb", "kernel_id": "72633657"}, {"ref": "jmiloser/jane-street-2024-eda-profiling-and-corr-insights", "kernel_id": "72069835"}, {"ref": "pockets2heavy/js-exploratory", "kernel_id": "72140330"}, {"ref": "pockets2heavy/js-variables-with-polars", "kernel_id": "72411077"}, {"ref": "qinxinxu/our-first-benchmark", "kernel_id": "72478385"}, {"ref": "ratamjose/eda-by-symbol", "kernel_id": "72205892"}, {"ref": "jazivxt/the-market-is-reactive-part-2", "kernel_id": "72083041"}, {"ref": "rohitdileep/js-optuna-xg-boost", "kernel_id": "72688833"}, {"ref": "simonedegasperis/lgbm-model-training", "kernel_id": "72468195"}, {"ref": "simonedegasperis/online-retrain-poc", "kernel_id": "72660774"}, {"ref": "jsharmz/jane-street-rmf", "kernel_id": "72342636"}, {"ref": "linhhoang171/jane-street-real-time-market-data-forecasting", "kernel_id": "72846195"}, {"ref": "regisvargas/starting-over-in-the-jane-street-competition", "kernel_id": "72205407"}, {"ref": "empkiros/acquiring-and-processing-data", "kernel_id": "72183433"}, {"ref": "simondelarue/lr-model", "kernel_id": "72626517"}, {"ref": "waikho/js-notebook-4s", "kernel_id": "72929340"}, {"ref": "waikho/js-notebook-4", "kernel_id": "72115600"}, {"ref": "nabojyotipandey/jane-street-predicting-market-trends", "kernel_id": "72384981"}, {"ref": "shlomoron/tpu-install-polars", "kernel_id": "72118965"}, {"ref": "aaravgupta10/jane-street-24-preprocessing", "kernel_id": "72384882"}, {"ref": "nicolesy/data-pre-processing-lb-performance", "kernel_id": "72812612"}, {"ref": "nicolesy/pre-processing-random-partially-missing-values", "kernel_id": "72910045"}, {"ref": "nicolesy/data-pre-processing-cv-performance", "kernel_id": "72773060"}, {"ref": "hoon0303/jane-street-rmf-ensemble", "kernel_id": "72989383"}, {"ref": "mperni/debug-submission", "kernel_id": "72198250"}, {"ref": "mperni/jane-street-submission-baseline", "kernel_id": "72193588"}, {"ref": "carranzaaaa/jane-ftt-submission-math5440-he-li-wu-zhou", "kernel_id": "72074897"}, {"ref": "joshlevent/js-null-hypothesis", "kernel_id": "72914066"}, {"ref": "jczhydy1/zhy-model", "kernel_id": "72029668"}, {"ref": "adomaslvu/jane-street-rtdf-gdbt-submission-notebook-3", "kernel_id": "72141739"}, {"ref": "abbringkevin/jane-street-baseline-lgb-xgb-and-catboost", "kernel_id": "72171890"}, {"ref": "spoorthiv12/656-mlb", "kernel_id": "72962778"}, {"ref": "yufanshiu/tft-train", "kernel_id": "72539926"}, {"ref": "chakattrai/janestreet-temp1", "kernel_id": "72386879"}, {"ref": "mostafa3apre7em/jane-street-tmp-solution", "kernel_id": "72145556"}, {"ref": "mostafa3apre7em/jane-street-time-series-analysis-eda-ensemble", "kernel_id": "72146303"}, {"ref": "mccasey/janestreet-data-processing", "kernel_id": "72115364"}, {"ref": "mccasey/janestreet-data-pre-processing", "kernel_id": "72272233"}, {"ref": "slaviamilinkovi/stim-janermf-selftft", "kernel_id": "72913165"}, {"ref": "denniswang07/eda-jane-street-real-time-market-data-forecasting", "kernel_id": "72972964"}, {"ref": "yoondonghan/jane-street-rmf-inference-nn-xgb-best-score", "kernel_id": "72807107"}, {"ref": "jimbeno/plot-heatmap-of-feature-responder-by-date-and-time", "kernel_id": "72156559"}, {"ref": "jimbeno/plot-function-with-16-hour-trading-periods", "kernel_id": "72066327"}, {"ref": "aswinroshan19/nokaam", "kernel_id": "72297606"}, {"ref": "marylumin/jane-street-time-series-analysis-eda-ensemble", "kernel_id": "72668015"}, {"ref": "arienf/jane-street-v2", "kernel_id": "72220000"}, {"ref": "sanye233/jane-street-rmf-homework", "kernel_id": "72837376"}, {"ref": "elvisyao/fork-of-janestreet-incremental", "kernel_id": "72686268"}, {"ref": "bharathvalluri/janestreet-rtf-eda", "kernel_id": "72424975"}, {"ref": "aaryamanaggarwal/notebookc08aeb9d55", "kernel_id": "72385098"}, {"ref": "hazwanhaziq36/notebookbe449167b2", "kernel_id": "72864228"}, {"ref": "pepushi/stats", "kernel_id": "72812685"}, {"ref": "shiqiangli/js24-create-simulate-data", "kernel_id": "72821166"}, {"ref": "shiqiangli/janestreetcbtonlineretrain", "kernel_id": "72554645"}, {"ref": "shaynahe/jane-street-xgb-lgbm-submission", "kernel_id": "72038384"}, {"ref": "houxiyu/12-10jane-street-rmf-demo", "kernel_id": "72689401"}, {"ref": "technologyhighplayer/jane-street-rmf-demo-submission", "kernel_id": "72839160"}, {"ref": "hrachsahakyan/notebookce9e3a4cd5", "kernel_id": "72439089"}, {"ref": "hrachsahakyan/notebook05d9dead61", "kernel_id": "72431711"}, {"ref": "ssong0268/notebook-ewnee", "kernel_id": "72039649"}, {"ref": "mycccmj/jane-street-baseline-lgb-xgb-and-catbo-207c80", "kernel_id": "72390922"}, {"ref": "chuhansong/fanyingsudu350", "kernel_id": "72146748"}, {"ref": "sukhipookie/xgb-boost-route", "kernel_id": "72274203"}, {"ref": "guillaumecollin12/lstm-market-prediction", "kernel_id": "72120192"}, {"ref": "wenyangguo/fanyingsudu217", "kernel_id": "72155232"}, {"ref": "wenyangguo/fanyingsudu166", "kernel_id": "72145629"}, {"ref": "matthieuouvrard/iluminia", "kernel_id": "72882653"}, {"ref": "mayjfw/fanyingsudu350", "kernel_id": "72064460"}, {"ref": "mayjfw/fanyingsudu217", "kernel_id": "72154479"}, {"ref": "britishsamurai/model1", "kernel_id": "72771684"}, {"ref": "britishsamurai/model4", "kernel_id": "72911423"}, {"ref": "mavillan/jane-street-rmf-demo-submission", "kernel_id": "73331659"}, {"ref": "seniorpine/jane-street-rmf-training-nn-torch-polars", "kernel_id": "73750890"}, {"ref": "kumarandatascientist/jsr-ensemble-nn-with-descriptive-coding-v1", "kernel_id": "73471627"}, {"ref": "bruceqdu/js24-inference-gbdt-with-lags-singlemodel", "kernel_id": "73310260"}, {"ref": "bruceqdu/js24-preprocessing-create-lags", "kernel_id": "73262313"}, {"ref": "bruceqdu/js24-train-gbdt-model-with-lags-singlemodel", "kernel_id": "73021133"}, {"ref": "roguekk007/js-ntreeblendcv", "kernel_id": "73760431"}, {"ref": "hideyukizushi/js-nn-xgb-ridge-pub-mytrain-weightblend-lb-0-0079", "kernel_id": "73604157"}, {"ref": "taikimori/lb-0-0077-micro-boost-tiny-change-for-a-0-001", "kernel_id": "73481604"}, {"ref": "regisvargas/inference-lstm-applied-to-filtered-data", "kernel_id": "73628887"}, {"ref": "regisvargas/pytorch-jane-street-a-beginner-s-notebook-c417ff", "kernel_id": "73174819"}, {"ref": "regisvargas/elasticnet-jane-street-a-beginner-s-notebook", "kernel_id": "73103222"}, {"ref": "regisvargas/lasso-jane-street-a-beginner-s-notebook", "kernel_id": "73086697"}, {"ref": "regisvargas/training-lstm-applied-to-filtered-data", "kernel_id": "73497589"}, {"ref": "edogawaliang/version3", "kernel_id": "73379305"}, {"ref": "proberto3122/pro2-jane-street-with-pca-and-tscross-validation", "kernel_id": "73662099"}, {"ref": "jackxiao2003/ridge-nn-forest-experiment", "kernel_id": "73728475"}, {"ref": "stellanlange0945/jane-street-rmf-differentialtransformer-submission", "kernel_id": "73777321"}, {"ref": "konstantinboyko/js-2024-v15-04-01-rmf-nn-starter-tabm-ridge", "kernel_id": "73610854"}, {"ref": "konstantinboyko/forecasting-with-the-temporal-fusion-transformer", "kernel_id": "73859376"}, {"ref": "konstantinboyko/tanm-reference", "kernel_id": "73421106"}, {"ref": "michailsv/sota-2-tsai", "kernel_id": "73373124"}, {"ref": "longdm/jane-street-linearregression", "kernel_id": "73364064"}, {"ref": "nicolesy/pre-processing-random-partially-missing-cv-lb", "kernel_id": "73036904"}, {"ref": "nicolesy/pre-processing-feature-21-26-27-31-cv-lb", "kernel_id": "73062202"}, {"ref": "deepernet/js24-preprocessing-create-lags", "kernel_id": "73747949"}, {"ref": "leeating/lgbm-jane-street", "kernel_id": "73071821"}, {"ref": "florianmerlau/run-model", "kernel_id": "73767470"}, {"ref": "uzairakhtar/janestreet1-5", "kernel_id": "73626637"}, {"ref": "sahanabasapathi/simple-ridge-regression", "kernel_id": "73182388"}, {"ref": "bobbiewang/js24-xgbregressor", "kernel_id": "73709448"}, {"ref": "bobbiewang/js24-preprocessing", "kernel_id": "73707530"}, {"ref": "timothygeiger/eda-visualization", "kernel_id": "73523087"}, {"ref": "xuchenjames/top-7-js-nnx5-xgbx5-weighted-blend-lb-0-0078", "kernel_id": "73840234"}, {"ref": "muhriddinmalik/market-data-analysis", "kernel_id": "73993281"}, {"ref": "carlosgaravatti/jane-street-2024-nn-torch", "kernel_id": "73786510"}, {"ref": "suehuynh/eda-jane-street-time-series-analysis", "kernel_id": "73910742"}, {"ref": "engadamalmohammedi/js24-dataset-stats-with-lags", "kernel_id": "73920595"}, {"ref": "asdkarma/model-generalisation-compliance", "kernel_id": "73067326"}, {"ref": "boomcam/jane-street-contest-notebook", "kernel_id": "73692559"}, {"ref": "kogiasima/jane-street-rmf-top-public-notebook-ensemble", "kernel_id": "73998647"}, {"ref": "jennyyu009/jane-street-practice", "kernel_id": "73649712"}, {"ref": "petrolbloo/jane-preprocessed-v4", "kernel_id": "73655680"}, {"ref": "adomaslvu/jane-street-rtdf-lstm-training-notebook", "kernel_id": "73742669"}, {"ref": "sunobionika/jane-street-rmf-demo-submission", "kernel_id": "73757469"}, {"ref": "rohansachdeva1/js2024-starter", "kernel_id": "73446746"}, {"ref": "yongsukprasertsuk/0-008-js-rmf-ensemble-xgb-nn-tabm-ridge", "kernel_id": "73514680"}, {"ref": "alkidiarete/regressor-ensemble-jane-street", "kernel_id": "73398302"}, {"ref": "akshattniggam/janestreet-10", "kernel_id": "73982168"}, {"ref": "masterli0117/jane-street-rmf-gb", "kernel_id": "73012386"}, {"ref": "arushupadhyaya/janestreetlstm", "kernel_id": "73832549"}, {"ref": "yoondonghan/lb-0-0077-micro-boost-tiny-change-for-a-0-001", "kernel_id": "73512167"}, {"ref": "yoondonghan/js-train-infer-lgbm-xgb-cat-w-custom-eval", "kernel_id": "73461902"}, {"ref": "ccyhui/js24-lgb-inference-single-model-0064", "kernel_id": "73499248"}, {"ref": "anasshahmurshad/arima-model", "kernel_id": "73618024"}, {"ref": "yanisbelami/jane-street-real-time-market-data-forecasting-eda", "kernel_id": "73482392"}, {"ref": "sunkaiqing/stop-wasting-your-submission-times", "kernel_id": "73900811"}, {"ref": "jacobhh1/js24-create-lags-and-rolling-features", "kernel_id": "73532431"}, {"ref": "jacobhh1/js-feature-engineering-training", "kernel_id": "73533192"}, {"ref": "harutokotou/jane-street-transformer", "kernel_id": "73327708"}, {"ref": "harutokotou/js-nnx5-xgbx5-weighted-blend-lb-0-0078", "kernel_id": "73852548"}, {"ref": "luowuhan/xgb-luo-from-train-to-submit", "kernel_id": "73189095"}, {"ref": "lucasfernandes03/lgbm-comp451", "kernel_id": "73055411"}, {"ref": "michaellindukemath/first-linear-model", "kernel_id": "73289851"}, {"ref": "tonyyunyang99/janestreet2024-data-preprocessing", "kernel_id": "73154964"}, {"ref": "aravindproml/jane-street-polars", "kernel_id": "73981474"}, {"ref": "yanrongfengqqcom/jane-street-rmf-inference-nn-xgb", "kernel_id": "73479053"}, {"ref": "rishi2003das/rishi2003das-arima-model", "kernel_id": "73172136"}, {"ref": "ahmedtahertata/js-nnx5-xgbx5-weighted-blend-lb-0-0078", "kernel_id": "73860502"}, {"ref": "davidsteffes/david-steffes-jane-street-competition", "kernel_id": "73741173"}, {"ref": "hanokh/js24-inference-gbdt-with-lags-singlemodel", "kernel_id": "73658885"}, {"ref": "zhaoxiaotan/feature-00", "kernel_id": "73610027"}, {"ref": "notrikka/notebook151979430b", "kernel_id": "73265393"}, {"ref": "yksyks/fffff", "kernel_id": "73709314"}, {"ref": "miaoyixiang/js24-train-gbdt-model-with-lags-singlemodel", "kernel_id": "73265543"}, {"ref": "yuchchen/js24-preprocessing-create-lags", "kernel_id": "73458911"}, {"ref": "ggargik/janestreetrealtimemarketdataforecasting", "kernel_id": "73963626"}, {"ref": "bharathvalluri/js-meta-prophet", "kernel_id": "73354721"}, {"ref": "bharathvalluri/janestreet-lr", "kernel_id": "73144903"}, {"ref": "bharathvalluri/js-nn", "kernel_id": "73266913"}, {"ref": "ashsweet119/jane-street-rmf-demo-submission", "kernel_id": "73229532"}, {"ref": "pepushi/ensamble-model", "kernel_id": "73239812"}, {"ref": "pepushi/ensamble-model-v2", "kernel_id": "73324313"}, {"ref": "pepushi/notebook45484e79fb", "kernel_id": "73746368"}, {"ref": "pepushi/js24-model", "kernel_id": "73624055"}, {"ref": "fariddbr/submission-parquet", "kernel_id": "73496314"}, {"ref": "poorveshchaudhari/incremental-training", "kernel_id": "73580382"}, {"ref": "nazir65/janestreettimestepanalysis", "kernel_id": "73754256"}, {"ref": "lixuehao/js24-preprocessing-create-lags", "kernel_id": "73262443"}, {"ref": "lixuehao/jane-street-rmf-demo-submission", "kernel_id": "73248786"}, {"ref": "yp2028/feature-importance-analysis", "kernel_id": "73736796"}, {"ref": "pengchengliu10/js24-train-gbdt-model-with-lags-singlemodel", "kernel_id": "73265482"}, {"ref": "worldq/notebook-12-19", "kernel_id": "73264506"}, {"ref": "zhangqunn/notebookd74bb791ed", "kernel_id": "73727308"}, {"ref": "zhangqunn/notebook7982d67a30", "kernel_id": "73731366"}, {"ref": "jjwlkt/jane-street", "kernel_id": "73258719"}, {"ref": "jjwlkt/notebook7982d67a30", "kernel_id": "73798654"}, {"ref": "yuxuexue/homework-12-21-2", "kernel_id": "73404047"}, {"ref": "yuxuexue/12-21-homework", "kernel_id": "73371214"}, {"ref": "yuxuexue/homework-12-21-3", "kernel_id": "73528919"}, {"ref": "yuxuexue/js24-preprocessing-create-lags", "kernel_id": "73252204"}, {"ref": "yuxuexue/class-12-19", "kernel_id": "73264414"}, {"ref": "houxiyu/notebookae4514b1a6", "kernel_id": "73264613"}, {"ref": "houxiyu/12-jane", "kernel_id": "73623421"}, {"ref": "technologyhighplayer/last-homework", "kernel_id": "73465711"}, {"ref": "huang111111/feature-24", "kernel_id": "73571149"}, {"ref": "ningmeng112233/notebook5c574bbf9a", "kernel_id": "73653692"}, {"ref": "kongyanmiao/notebookd55d89c4d8", "kernel_id": "73264381"}, {"ref": "kongyanmiao/notebookcd0a1e0235", "kernel_id": "73725164"}, {"ref": "doudoudoudouba/feature12", "kernel_id": "73262277"}, {"ref": "sx0505/12-29", "kernel_id": "73765576"}, {"ref": "zenonchen/jane-street1", "kernel_id": "73006664"}, {"ref": "sunhoejung/js2024-rmf-understanding-the-data", "kernel_id": "73069776"}, {"ref": "matiastorresr/my-models", "kernel_id": "73684955"}, {"ref": "uctpexx123/js24-preprocessing-create-lags", "kernel_id": "73535016"}, {"ref": "mycccmj/train-lgbm-model-with-lags-run-on-kaggle-0-0054", "kernel_id": "73562843"}, {"ref": "mycccmj/lb-0-0077-micro-boost-tiny-change-for-a-0-001", "kernel_id": "73583859"}, {"ref": "miki486/jane-street", "kernel_id": "73099638"}, {"ref": "ryunosuke0718g/feature", "kernel_id": "73538328"}, {"ref": "tinglv/notebook151979430b", "kernel_id": "73264398"}, {"ref": "tinglv/jane-street", "kernel_id": "73512661"}, {"ref": "michaelharoon/js-model-maker", "kernel_id": "73949136"}, {"ref": "cyouwa/elasticnet-jane-street-a-beginner-s-notebook", "kernel_id": "73482427"}, {"ref": "wohnjall/arima-comp451", "kernel_id": "73049034"}, {"ref": "johncaresio/jane-street-rmf-inference-ae-mlp-online-learning", "kernel_id": "73887484"}, {"ref": "johncaresio/jane-street-rmf-training-ae-mlp", "kernel_id": "73699349"}, {"ref": "benpovar/selecting-the-maximum-feature-covering-of-tags", "kernel_id": "73323634"}, {"ref": "trapeziusmilkington/jane-street-factoredctw", "kernel_id": "73919855"}, {"ref": "ugyenntsheringg/new-submission", "kernel_id": "73661345"}, {"ref": "laodriverayu/seq-data", "kernel_id": "73298605"}, {"ref": "laodriverayu/seq-model", "kernel_id": "73395442"}, {"ref": "ufukquant/preliminary-data-analysis-on-train-parquet", "kernel_id": "73915155"}, {"ref": "sergeifironov/pure-tabm-swa-wide-inference-3e5lr", "kernel_id": "74154163"}, {"ref": "sergeifironov/swa-rnn-mse", "kernel_id": "74464653"}, {"ref": "nishimoto/janestreet-2024-ja-overview-simple-eda", "kernel_id": "74092089"}, {"ref": "aerdem4/jane-street-lofo-feature-importance-on-gpu", "kernel_id": "74330742"}, {"ref": "eivolkova/public-lb-6th", "kernel_id": "74553167"}, {"ref": "zenglihao106/bugfix-simulator-for-time-series-api", "kernel_id": "74121419"}, {"ref": "kumarandatascientist/reach-top-5-0-0083-update-lb-186th-position", "kernel_id": "74006226"}, {"ref": "wanmeijianchi/js-nnx5-xgbx5-mytrain-pub-weightblend", "kernel_id": "74067833"}, {"ref": "wanmeijianchi/js-rmf-ensemble-xgb-nn-tabm-ridge", "kernel_id": "74047911"}, {"ref": "iwatatakuya/tabm-with-pytorch-lightning", "kernel_id": "74693809"}, {"ref": "awaptk/catboost-training-validated-on-last-122-days", "kernel_id": "74773178"}, {"ref": "dany41/eda-for-jane-street-competition", "kernel_id": "74653819"}, {"ref": "mawliet/m-test-0-008-js-rmf-ensemble-xgb-nn-tabm-ridge", "kernel_id": "74172018"}, {"ref": "timothyborrell/ensemble-lgbm-xgboost-online-lag-data", "kernel_id": "74063523"}, {"ref": "risanraja32/point-wise-tft", "kernel_id": "74504011"}, {"ref": "longdm/notebook-yuer-note", "kernel_id": "74081848"}, {"ref": "abnerteng/tabm-easy", "kernel_id": "74143991"}, {"ref": "moaznasser/resnet", "kernel_id": "74534914"}, {"ref": "handudu/janes-infer-error", "kernel_id": "74031118"}, {"ref": "engadamalmohammedi/jane-street-real-time-market-data-forecasting-eda", "kernel_id": "74178637"}, {"ref": "engadamalmohammedi/js-24-0-0066-only-lgbm", "kernel_id": "74154936"}, {"ref": "engadamalmohammedi/0-0084-js-24-xgb-nn-ridge-tabm", "kernel_id": "74536220"}, {"ref": "suzukitaichi/xgb-weight4-of-best-emsemble-lb0-81", "kernel_id": "74589556"}, {"ref": "dunyuanzha/nn-lgb-cat", "kernel_id": "74350903"}, {"ref": "petrolbloo/starter-trying-autoencoder-gru-sub-fail", "kernel_id": "74654940"}, {"ref": "adomaslvu/jane-street-rtdf-lstm-training-notebook-2", "kernel_id": "74549558"}, {"ref": "adomaslvu/jane-street-rtdf-lstm-training-notebook-3", "kernel_id": "74559521"}, {"ref": "adomaslvu/jane-street-rtdf-lstm-submission-notebook-2", "kernel_id": "74573931"}, {"ref": "adomaslvu/jane-street-rtdf-lstm-submission-notebook", "kernel_id": "74498548"}, {"ref": "shanchanglin/0-008-js-rmf-ensemble-xgb-nn-tabm-ridge", "kernel_id": "74070976"}, {"ref": "mrsa3dola/ensemble-all", "kernel_id": "74554901"}, {"ref": "qamarmath/enhanced-ann-0-0063", "kernel_id": "74050162"}, {"ref": "qamarmath/market-data-training-ann-model-0-0063", "kernel_id": "74106843"}, {"ref": "i2nfinit3y/jane-street-tabm-online-learning", "kernel_id": "74006318"}, {"ref": "i2nfinit3y/jane-street-tabm-training", "kernel_id": "74791622"}, {"ref": "kayeyeye/cnn-lstm-training", "kernel_id": "74451701"}, {"ref": "kayeyeye/js-rmf-ensemble-cnn-lstm-xgb-nn-tabm-ridge", "kernel_id": "74292851"}, {"ref": "silverlion33/js24-train-gbdt-model-with-lags-singlemodel", "kernel_id": "74152308"}, {"ref": "silverlion33/js24-preprocessing-create-lags", "kernel_id": "74149964"}, {"ref": "sheemamasood/jane-street-real-time-market-data-forecasting", "kernel_id": "74296601"}, {"ref": "haidermn16/jane-street-contest-marketmatrix-ai", "kernel_id": "74913704"}, {"ref": "chronoscop/fork-of-jane-street-rmf-final-submission", "kernel_id": "74886128"}, {"ref": "chronoscop/optuna-find-params", "kernel_id": "74980671"}, {"ref": "pepushi/ensemble-linear-output", "kernel_id": "74604873"}, {"ref": "pepushi/jane-street-rmf-top-public-notebook-ensemb-9a2e78", "kernel_id": "74661744"}, {"ref": "pepushi/jane-street-rmf-top-public-notebook-ensemble", "kernel_id": "74001595"}, {"ref": "meetbabariya/ensemble-of-public-models", "kernel_id": "74219857"}, {"ref": "shiqiangli/js-dnn-online-with-lags", "kernel_id": "74561328"}, {"ref": "mah20050/notebook-python-2", "kernel_id": "74465666"}, {"ref": "jiayiwang1129duke/fork-of-jane-street-optuna-lgbm", "kernel_id": "74069960"}, {"ref": "trjanhrsehtxmustang/xgboost-w-responders", "kernel_id": "74072452"}, {"ref": "jaysurender/forecast-jane-street-ipynb", "kernel_id": "74565274"}, {"ref": "chengyuanma0404/js-ntreeblendcv-6ee13d", "kernel_id": "74005527"}, {"ref": "altriaalterr/2022110949-3", "kernel_id": "74032508"}, {"ref": "altriaalterr/2022110949-4", "kernel_id": "74083355"}, {"ref": "tz63467/janestreet-stock-market-analysis", "kernel_id": "75501765"}, {"ref": "xxxxyyyy80008/js202502-extract-train-data-by-symbol-id", "kernel_id": "75979613"}, {"ref": "rummanghostblade/forecasting", "kernel_id": "75938098"}, {"ref": "rajan3208/jane-street-rtmf-code-submission", "kernel_id": "75263435"}, {"ref": "iakigangutia/jane-street-rmf-base-tfg", "kernel_id": "75957367"}, {"ref": "shiyili/js-public-lb-change-track", "kernel_id": "76445656"}, {"ref": "allegich/js-time-series-analysis-eda-intraday-structures", "kernel_id": "76332500"}, {"ref": "awaptk/jane-street-gru-training-keras", "kernel_id": "77012670"}, {"ref": "fkaanfirat/jane-street-eda-lgbm-pipeline", "kernel_id": "77196154"}, {"ref": "anwarhawash/the-quant-s-cookbook-exploring-jane-street-mar", "kernel_id": "77826385"}, {"ref": "konstantinboyko/13-01-11-train-original-copy-00-lb-0-0070", "kernel_id": "80609725"}, {"ref": "konstantinboyko/16-01-train-original-v03", "kernel_id": "80623157"}, {"ref": "konstantinboyko/19-02-1-train-copy-00-1-1-3-lb-0-0064", "kernel_id": "80623199"}, {"ref": "konstantinboyko/02-02-1-split-on-train-valid-by-last-days", "kernel_id": "80675074"}, {"ref": "konstantinboyko/01-1-motono0223-js24-preprocessing-create-lags-v01", "kernel_id": "80682390"}, {"ref": "konstantinboyko/js-2024-v15-04-01-rmf-nn-starter-tabm-ridge-test", "kernel_id": "80687434"}, {"ref": "konstantinboyko/js-2024-v15-04-01-rmf-nn-starter-tabm-ridge-check", "kernel_id": "80685086"}, {"ref": "zhuangzhuanghan/js24-nn-training", "kernel_id": "83393863"}, {"ref": "zhuangzhuanghan/js24-preprocess", "kernel_id": "83338818"}, {"ref": "zhuangzhuanghan/js24-train-ridge", "kernel_id": "83478153"}, {"ref": "zhuangzhuanghan/js24-train-xgb", "kernel_id": "83474189"}, {"ref": "zhuangzhuanghan/js24-blending", "kernel_id": "83899557"}, {"ref": "zhuangzhuanghan/js24-train-lstm", "kernel_id": "83833814"}, {"ref": "zhuangzhuanghan/js24-train-tabm", "kernel_id": "83817038"}, {"ref": "abhinavsharma0706/time-market", "kernel_id": "83866997"}, {"ref": "nikolabareti/eda-jane-street-real-time-market-data-forecasting", "kernel_id": "84713235"}, {"ref": "frankrilling/notebookd1315647e1", "kernel_id": "86489926"}, {"ref": "jtrotman/lb-jane-st-real-time-market-data-forecasting", "kernel_id": "87427983"}, {"ref": "hiteshkumars/jane-street-real-time-market-forecast", "kernel_id": "87252463"}, {"ref": "xiezihengjie/js-ntreeblendcv-a608d4", "kernel_id": "91166371"}, {"ref": "injchoi/elasticnetcv", "kernel_id": "92654519"}, {"ref": "kimgahyunsoong/model-training-v1", "kernel_id": "92623943"}, {"ref": "kimgahyunsoong/jane-street-feature", "kernel_id": "92332096"}, {"ref": "kimgahyunsoong/feature-importance", "kernel_id": "92367217"}, {"ref": "yeonsoo6408/overall", "kernel_id": "92608734"}, {"ref": "yeonsoo6408/yssrkaggle", "kernel_id": "92218597"}, {"ref": "mvakhil941/js-analysis", "kernel_id": "100318522"}, {"ref": "mvakhil941/js-trade-model", "kernel_id": "100279019"}, {"ref": "sarikondamanoharraju/jane-street-baseline-lgb-xgb-and-catboost", "kernel_id": "100498058"}, {"ref": "kernalmiu/corr-check", "kernel_id": "102335274"}, {"ref": "kernalmiu/janestreet-lgbmfull", "kernel_id": "102955488"}, {"ref": "kernalmiu/janestreet-lightgbmcv", "kernel_id": "102952243"}, {"ref": "hasimansari871/jane-street-baseline-lgb-xgb-and-catboost", "kernel_id": "103520770"}, {"ref": "supriya21k/jane-street-prediction", "kernel_id": "105440249"}, {"ref": "aryangadhave/jsforecasting", "kernel_id": "106038337"}]}
{"competition_id": "84511", "kernels": [{"ref": "cselmo/notebook-de-arranue-mlp", "kernel_id": "67835661"}, {"ref": "damiansergi/cifar-100-tp-final-nn", "kernel_id": "72996944"}, {"ref": "thiagosayegh/cifar-100-tp-final-graubajlecsayegh", "kernel_id": "73160779"}, {"ref": "ivobajlec/resnet-cifar", "kernel_id": "73474379"}]}
{"competition_id": "84520", "kernels": [{"ref": "kaiqqq/stocks-return-prediction-baseline", "kernel_id": "69885729"}]}
{"competition_id": "84523", "kernels": []}
{"competition_id": "84530", "kernels": []}
{"competition_id": "84553", "kernels": []}
{"competition_id": "84572", "kernels": []}
{"competition_id": "84573", "kernels": []}
{"competition_id": "84574", "kernels": []}
{"competition_id": "84575", "kernels": []}
{"competition_id": "84576", "kernels": []}
{"competition_id": "84577", "kernels": []}
{"competition_id": "84578", "kernels": []}
{"competition_id": "84579", "kernels": []}
{"competition_id": "84580", "kernels": []}
{"competition_id": "84581", "kernels": []}
{"competition_id": "84583", "kernels": []}
{"competition_id": "84602", "kernels": [{"ref": "trongkhang/colombia-bankruptcy-prediction", "kernel_id": "85544084"}]}
{"competition_id": "84611", "kernels": []}
{"competition_id": "84613", "kernels": [{"ref": "tejeshvs/tejeshvs", "kernel_id": "65551626"}, {"ref": "riteshnarayandas/ritesh-n-das", "kernel_id": "65552890"}, {"ref": "nsusi05/notebookd9123e21b8", "kernel_id": "65550801"}, {"ref": "aayushkanjani/aayush-kanjani", "kernel_id": "65552765"}, {"ref": "atharvaaiml/final-notebook", "kernel_id": "65551588"}, {"ref": "gautamkhokhar28/notebooke2b8a4626c", "kernel_id": "65553060"}, {"ref": "samratray05/notebook9f139087f2", "kernel_id": "65550956"}, {"ref": "priteshtripathi/pritesh-tripathi", "kernel_id": "65553206"}, {"ref": "subhanshnaithani/subhansh", "kernel_id": "65551091"}, {"ref": "saumyaagrawal1709/saumya-agrawal", "kernel_id": "65552441"}, {"ref": "manasviburramukku/notebook7bdd720ce0", "kernel_id": "65218857"}, {"ref": "kunalgunwal23/kunal", "kernel_id": "65552033"}]}
{"competition_id": "84616", "kernels": [{"ref": "mikastars/3220105223", "kernel_id": "65443538"}, {"ref": "yukiko4869/3220102945", "kernel_id": "65260284"}, {"ref": "gengyizhi/3230105816", "kernel_id": "65174054"}, {"ref": "zzzzzzy001/3230105414", "kernel_id": "66053900"}]}
{"competition_id": "84622", "kernels": [{"ref": "nlztrk/datathon-2024-public-1-private-2-z-m", "kernel_id": "65961816"}, {"ref": "furkankp/8th-place-weighted-ens-catboost-lgbm-xgb", "kernel_id": "65785394"}, {"ref": "ozguraslank/btk-datathon-24-feature-eng-catboost-priv-5-86", "kernel_id": "65917984"}, {"ref": "kaansnmez/eda-cleaning-preprocessing-optuna-xgboost", "kernel_id": "65495134"}, {"ref": "serdargundogdu/btk-datathon-2024-catboost-6", "kernel_id": "65765934"}, {"ref": "tutenstein/datathon2024-catboost-model-private-score-5-9", "kernel_id": "65857319"}, {"ref": "tutenstein/fork-of-notebookfb96378490", "kernel_id": "65786665"}, {"ref": "ebrukilic/vbt-new", "kernel_id": "65580065"}, {"ref": "nazlias/datathon-eda-encoding-best-catboost", "kernel_id": "65821809"}, {"ref": "dumanmesut/we-bears-datathon-2024-rank-5-private-5-7", "kernel_id": "65864631"}, {"ref": "alisarpsunay/btk-datathon-2024-ilk", "kernel_id": "65495431"}, {"ref": "ugursaricam/datasapienz-hybrid-model-private-score-6-07", "kernel_id": "65846108"}, {"ref": "muhammedtuncayaydn/3-model", "kernel_id": "65674885"}, {"ref": "ahmetsinasoygan/cac-k-exe", "kernel_id": "65535929"}, {"ref": "smailyarknkavalc/data-cleaning-catboost-pb-6-21-priv-6-05", "kernel_id": "65763941"}, {"ref": "reyyantemel/btkvol2", "kernel_id": "65723472"}, {"ref": "selimincekara/datathon-lgbm-7-6", "kernel_id": "65725599"}, {"ref": "enesgok/personalscoreprediction-eg17-allcode", "kernel_id": "65851904"}, {"ref": "enesgok/personalscoreprediction-eg17-preprocessing", "kernel_id": "65678938"}, {"ref": "mehdiyeyldz/my-btkdatathon", "kernel_id": "65538927"}, {"ref": "deniz2121/btk-datathon-2024", "kernel_id": "65851093"}, {"ref": "hasanbasriuzun/fork-of-tahminleme-v1-4a6aaf", "kernel_id": "65745316"}, {"ref": "kutaydogann/datathon-2024-veri-hazirlama-public-rmse-6-29", "kernel_id": "65823685"}, {"ref": "moonglow22/datathon-24", "kernel_id": "65760092"}, {"ref": "erdoanpeker/detayl-analiz-score-6-3161974015", "kernel_id": "65500605"}, {"ref": "fatihkgg/datathon24-preprocessing-optuna-6-36", "kernel_id": "65805985"}, {"ref": "emrullahkaracan/datathon", "kernel_id": "65902404"}, {"ref": "dilannihadioglu/btk-datathon2024-pb-6-42-priv-6-315", "kernel_id": "65810987"}, {"ref": "tulayppppp/datahlon2024", "kernel_id": "65823526"}, {"ref": "canandulgeroglu/datathon24", "kernel_id": "65689090"}, {"ref": "mhsn21/datathon-btk-2024", "kernel_id": "65889665"}, {"ref": "tugceerdemlial/datathonbtk2024eda-catboost-pool-sc-pri-6-39", "kernel_id": "65855779"}, {"ref": "hakankocakk/btk-datathon-2024-catboost-public-score-6-14", "kernel_id": "65536635"}, {"ref": "abdullah1905/liseler", "kernel_id": "65585870"}, {"ref": "abdullah1905/model-2", "kernel_id": "65782976"}, {"ref": "gulerkandeger/datathon2024-data-cleaning", "kernel_id": "65518262"}, {"ref": "muratefe/datathon2024-data-cleaning-xgboost", "kernel_id": "65798960"}, {"ref": "ahmetcantak/unique-eda-ml-5-26-dl-6-05", "kernel_id": "65919666"}, {"ref": "haldonmez/datathon2024-eda-xgboost-6-5", "kernel_id": "65495082"}, {"ref": "abaliumut/bug-team", "kernel_id": "65802977"}, {"ref": "metinhsimimi/eda-ve-i-lemler-deep-xcbost-cat", "kernel_id": "65634271"}, {"ref": "zehrabak/datathonproject", "kernel_id": "65496019"}, {"ref": "zgrumutpirin/datathon-2024", "kernel_id": "65938317"}, {"ref": "gramchelle/btk-2024-datathon", "kernel_id": "65500665"}, {"ref": "ugurokarapunar/datat", "kernel_id": "65920177"}, {"ref": "hasanalperenkurt/datathon24", "kernel_id": "65780257"}, {"ref": "beyzacoban/datathon-2024", "kernel_id": "65494928"}, {"ref": "nursenaglhan/datathon-2024-nursena-gulhan", "kernel_id": "65769409"}, {"ref": "alperugurca/random", "kernel_id": "65629192"}, {"ref": "trcnveli/datathon2024-cleaning-eda-catboost", "kernel_id": "65592616"}, {"ref": "bilaldurmus/datathon2024-detayli-data-cleaning-score-6-45", "kernel_id": "65808762"}, {"ref": "yasinkurtulu/gradienboosterregressor-datathon24", "kernel_id": "65814050"}, {"ref": "yasinkurtulu/datathon2024-detayli-data-cleaning-score-6-30", "kernel_id": "65913917"}, {"ref": "burauysal/train-dosyas-burs", "kernel_id": "65811221"}, {"ref": "abdullahhaydarkadolu/tagging-datas", "kernel_id": "65765611"}, {"ref": "sercanyesiloz/btk-datathon-2024-6th-place-solution", "kernel_id": "66485693"}, {"ref": "gamzeakkurt/optuna-weighted-ensemble-is-all-you-need-eda", "kernel_id": "66214644"}, {"ref": "emrekele/datathon-24", "kernel_id": "66321216"}, {"ref": "ebrukilic/datathon-github", "kernel_id": "66219241"}, {"ref": "hdrbozkurtt/btk-akademi-datathon-2024", "kernel_id": "66931705"}, {"ref": "utkubarankapsz/btk-datathon-2024-top-13", "kernel_id": "66034913"}, {"ref": "denizbilginn/btk-datathon-2024-eda-catboost-priv-5-64", "kernel_id": "66105561"}, {"ref": "romulo18/btk-datathon-13-46-364-co-2024", "kernel_id": "66068761"}, {"ref": "musoxy/btk-datathon-2024-private-1", "kernel_id": "66444186"}, {"ref": "ugurokarapunar/datathon-2024", "kernel_id": "66257179"}, {"ref": "cansuorhun/datathon2024", "kernel_id": "66367249"}, {"ref": "ydmhalil/btk-datathon2024-xgboost-priv-8-35", "kernel_id": "68172997"}, {"ref": "muhammethamzayavuz/fintek", "kernel_id": "72031800"}, {"ref": "baharakay/btk-datathon-2024", "kernel_id": "75151118"}, {"ref": "hobbycafe/btk-datathon-2024-private-1", "kernel_id": "124886221"}]}
{"competition_id": "84640", "kernels": []}
{"competition_id": "84650", "kernels": [{"ref": "trnquckhnh/demo-final-cifar10-deeplearning", "kernel_id": "65166504"}]}
{"competition_id": "84663", "kernels": []}
{"competition_id": "84665", "kernels": [{"ref": "ojusjaiswal/telecom-churn-case-study-hackathon-c63", "kernel_id": "65434700"}, {"ref": "panroh86/telecom-churn-case-study", "kernel_id": "65603916"}]}
{"competition_id": "84675", "kernels": []}
{"competition_id": "84676", "kernels": []}
{"competition_id": "84693", "kernels": []}
{"competition_id": "84697", "kernels": []}
{"competition_id": "84699", "kernels": []}
{"competition_id": "84717", "kernels": [{"ref": "erenkonta/dl-classificion-ile-tweet-duygu-analizi", "kernel_id": "68911167"}]}
{"competition_id": "84721", "kernels": []}
{"competition_id": "84761", "kernels": [{"ref": "harryhao/student-final-score", "kernel_id": "65274799"}]}
{"competition_id": "84764", "kernels": [{"ref": "thiagomantuani/rohlik-sales-2024-get-started", "kernel_id": "67106995"}, {"ref": "cicilay/rohlik-sales-2024", "kernel_id": "73612798"}, {"ref": "suthcong/catboost-optuna", "kernel_id": "76353041"}, {"ref": "yaqisongsong/rohlik-sales-2024-get-started", "kernel_id": "79629320"}, {"ref": "hourz1806/rohlik-sales-2024", "kernel_id": "80701200"}, {"ref": "yaqisongsong/rohlik-sales-2024-original", "kernel_id": "80215692"}, {"ref": "yaqisongsong/rohlik-sales-2024", "kernel_id": "80893525"}]}
{"competition_id": "84795", "kernels": [{"ref": "seshurajup/kprize-6-train-samples", "kernel_id": "72856930"}, {"ref": "sohier/konwinski-prize-demo-submission", "kernel_id": "72751527"}, {"ref": "mpwolke/astropy-jackknife-konwinski-zip-files", "kernel_id": "72930524"}, {"ref": "mpwolke/konwinski-metadata-zip-files", "kernel_id": "72851382"}, {"ref": "nikhil1e9/konwinski-prize-starter-notebook", "kernel_id": "72867278"}, {"ref": "mahdiseddigh/konwinski-starter", "kernel_id": "72999098"}, {"ref": "razvanmihaihanghicel/kaggle-konwinski-prize-inference-server", "kernel_id": "72821446"}, {"ref": "cescofran/exploring-the-data-wip", "kernel_id": "72864716"}, {"ref": "mohamedmustafashaban/konwinski-prize", "kernel_id": "72840047"}, {"ref": "abdullah0a/konwinski-prize-get-started", "kernel_id": "72851711"}, {"ref": "hejuncheung/comp-konwinski-prize-submission", "kernel_id": "72827154"}, {"ref": "matthieuouvrard/notebook6dc3b002f1", "kernel_id": "72882250"}, {"ref": "adhok93/simple-fine-tuning-set-up-using-qwen-2-5", "kernel_id": "73518895"}, {"ref": "kumarandatascientist/konwinski-simple-2-steps-anyone-make-it-v1", "kernel_id": "73530354"}, {"ref": "kumarandatascientist/eda-preprocessing-llm-qna-dataset-readiness-v1", "kernel_id": "73524182"}, {"ref": "kumarandatascientist/3-simple-steps-win-konwinski-challenge", "kernel_id": "73607540"}, {"ref": "sohier/patch-validation-snippet", "kernel_id": "73347362"}, {"ref": "dschettler8845/kprize-learn-with-me-swe-bench-and-the-kprize", "kernel_id": "73842759"}, {"ref": "huikang/how-to-test-your-patches-on-the-training-set", "kernel_id": "73363761"}, {"ref": "huikang/starter-notebook-select-patch-verify", "kernel_id": "73413301"}, {"ref": "huikang/pip-install-kprize", "kernel_id": "73414938"}, {"ref": "huikang/how-to-access-problems-without-inference-server", "kernel_id": "73403651"}, {"ref": "thornkey/demo-run-llm-locally", "kernel_id": "73672026"}, {"ref": "umar47/konwinski-minimal-qwen-agent", "kernel_id": "73627698"}, {"ref": "jazivxt/to-winning-sort-off", "kernel_id": "73741436"}, {"ref": "koushiksahu/eda-konwinski-prize", "kernel_id": "73736645"}, {"ref": "koushiksahu/embedding-based-similarity-search-on-codebase", "kernel_id": "73770154"}, {"ref": "shaunshibu/konwinski-prize-knowledge-graph-deepseek", "kernel_id": "73782178"}, {"ref": "jinssaa/agent-system-langgraph-vllm-elasticsearch-qwen", "kernel_id": "73929498"}, {"ref": "haoruili/konwinski-prize-submission-example", "kernel_id": "73035869"}, {"ref": "smartmanoj/openhands-agent-wheels", "kernel_id": "73863359"}, {"ref": "mos3santos/test-pr-mio-konwinski", "kernel_id": "73444886"}, {"ref": "akhiljethwa/konwinski-prize-gemma-llm", "kernel_id": "73176525"}, {"ref": "stemosamaghandour/konwinski-prize-challenge-by-pyrhon-stemer", "kernel_id": "73251778"}, {"ref": "gagandeep44489/kpricebyg", "kernel_id": "73123432"}, {"ref": "arshsrivastava010/konwinski-prize-demo-submission-4ab5e1", "kernel_id": "73201819"}, {"ref": "rajputboy01/konwinski-prize-demo-submission", "kernel_id": "73010132"}, {"ref": "cyy13657626013/mytestnotebook", "kernel_id": "73506498"}, {"ref": "adhok93/qwen-test-1", "kernel_id": "74339302"}, {"ref": "adhok93/lora-attempt", "kernel_id": "74665989"}, {"ref": "dschettler8845/kprize-demo-submission-with-env-probing", "kernel_id": "74357073"}, {"ref": "dschettler8845/create-kprize-like-dataset-from-swe-bench-datasets", "kernel_id": "74926797"}, {"ref": "dascient/konwinski-prize-solution", "kernel_id": "74037614"}, {"ref": "smartmanoj/vllm-server", "kernel_id": "74499667"}, {"ref": "smartmanoj/golden-patch-evaluation", "kernel_id": "74985359"}, {"ref": "smartmanoj/phi-4-q4-k-m-gguf", "kernel_id": "74789786"}, {"ref": "makimakiai/konwinski-metadata-zip-files-jp", "kernel_id": "74120782"}, {"ref": "makimakiai/konwinski-prize", "kernel_id": "74120936"}, {"ref": "marwanashref/kprize-start", "kernel_id": "74155190"}, {"ref": "roosvanderjagt/konwinski-prize-submission", "kernel_id": "74751677"}, {"ref": "olaflundstrom/konwinski-prize-ai-github-issue-resolver-tb", "kernel_id": "74158294"}, {"ref": "olaflundstrom/konwinski-prize-ai-github-issue-resolver", "kernel_id": "74109640"}, {"ref": "jasemkhelifi/notebook842008d81d", "kernel_id": "74782822"}, {"ref": "adhok93/starter-notebook-select-patch-verify-deepseek", "kernel_id": "75333058"}, {"ref": "ghosthamlet/pip-install-kprize-6053ac", "kernel_id": "75970419"}, {"ref": "bamps53/demo-submission-show-output", "kernel_id": "75435502"}, {"ref": "dschettler8845/try-to-create-swe-bench-uv-environs-for-cv", "kernel_id": "75212179"}, {"ref": "smartmanoj/kprize-openhands-fork", "kernel_id": "75050393"}, {"ref": "mirzamilanfarabi/phems-train-datasets-merge", "kernel_id": "75466701"}, {"ref": "harshitakumari256/deepseek-finetuned-model", "kernel_id": "75286414"}, {"ref": "agent1000/vllm-server", "kernel_id": "75436088"}, {"ref": "palanisamytst/vllm-test", "kernel_id": "75695730"}, {"ref": "rosstch/inference-server-timeout-bug", "kernel_id": "76592873"}, {"ref": "praveenkaushik80/ds-select-patch-verify", "kernel_id": "76294457"}, {"ref": "slashie/kprize-submit-v3", "kernel_id": "76864567"}, {"ref": "zhudong1949/starter-notebook-select-patch-verify-ca53bc", "kernel_id": "76597688"}, {"ref": "smartmanoj/vllm-bugs", "kernel_id": "76352431"}, {"ref": "smartmanoj/timeout-signal-bug", "kernel_id": "76296791"}, {"ref": "smartmanoj/mre-for-notebook-inference-error-due-to-timeout", "kernel_id": "76305409"}, {"ref": "smartmanoj/starter-notebook-select-patch-verify-with-t-0", "kernel_id": "76284313"}, {"ref": "smartmanoj/astropy-astropy-16898-without-net", "kernel_id": "76765034"}, {"ref": "smartmanoj/astropy-astropy-16898-mre-3", "kernel_id": "76769783"}, {"ref": "ducnh279/grpo-train-reasoning-model", "kernel_id": "76371246"}, {"ref": "jainam213/blurry-kowinsky", "kernel_id": "76899704"}, {"ref": "quannguyn12/starter-notebook-select-patch-verify", "kernel_id": "76965195"}, {"ref": "quannguyn12/testing-kprize", "kernel_id": "76832938"}, {"ref": "green000/lmdeploy", "kernel_id": "76265514"}, {"ref": "shelterw/pip-install-kprize", "kernel_id": "76630489"}, {"ref": "giraldonainggolan/swebench-test-automation", "kernel_id": "76353443"}, {"ref": "dschettler8845/timeout-demo-konwinski-prize-demo-submission", "kernel_id": "77543260"}, {"ref": "huikang/how-to-print-the-initial-test-error", "kernel_id": "77031773"}, {"ref": "genxxsky/pip-install-kprize", "kernel_id": "77792617"}, {"ref": "kami634/kprize-akami-sub-kami", "kernel_id": "77709091"}, {"ref": "dedquoc/knowledge-price-resolve-and-submission", "kernel_id": "77647729"}, {"ref": "smartmanoj/select-patch-verify-v113-with-per-request-seed", "kernel_id": "77743977"}, {"ref": "pavelssuskis/testing-with-tox", "kernel_id": "77869990"}, {"ref": "oleksiistreltsov/select-patch-refine", "kernel_id": "77043830"}, {"ref": "quannguyn12/mcts-kprize", "kernel_id": "77530174"}, {"ref": "green000/tests-only-work-when-running-in-notebook", "kernel_id": "77950973"}, {"ref": "green000/agent2-v0-01", "kernel_id": "77754594"}, {"ref": "green000/agent2-v0-01-competition-notebook", "kernel_id": "77754896"}, {"ref": "apoteosechannel/s-o-m-solution", "kernel_id": "77759330"}, {"ref": "dilrabonu/konwinski-prize", "kernel_id": "77592839"}, {"ref": "biansun/fork-of-222-starter-notebook-select-patch-verify", "kernel_id": "77693724"}, {"ref": "biansun/222-starter-notebook-select-patch-verify", "kernel_id": "77468226"}, {"ref": "biansun/repeatstarter-notebook-select-patch-verify", "kernel_id": "77857351"}, {"ref": "a14iiiii/starter-notebook-select-patch-verify-481c11", "kernel_id": "77836368"}, {"ref": "sangeetastudycentre/notebook9f1a916204", "kernel_id": "77638881"}, {"ref": "sangeetastudycentre/notebook135aa5c25c", "kernel_id": "77623828"}, {"ref": "praveenkaushik80/ds-select-patch-verify-edcb54", "kernel_id": "78027124"}, {"ref": "praveenkaushik80/select-patch-verify-new", "kernel_id": "78281400"}, {"ref": "arc144/custom-agentless-fork", "kernel_id": "78258237"}, {"ref": "arc144/install-llama-cpp-l4", "kernel_id": "78178194"}, {"ref": "huikang/diffwriter", "kernel_id": "78015961"}, {"ref": "slashie/kprize-submit-v7", "kernel_id": "78210988"}, {"ref": "charansv/k-prize-submission-final", "kernel_id": "78416730"}, {"ref": "charansv/konwinski-sub-2", "kernel_id": "78252560"}, {"ref": "green000/kprize-not-openhands-fork-agent2-with-tests", "kernel_id": "78213877"}, {"ref": "himalayamscs/konwinski-prize-deepmind-ace-v8", "kernel_id": "78466793"}, {"ref": "hertryggr/starter-notebook-select-patch-verify-42c7b5", "kernel_id": "78290620"}, {"ref": "robertcrusejr/konwinski-prize-repair-gpt", "kernel_id": "87218696"}, {"ref": "genxxsky/kprice-select-patch-verify-choose", "kernel_id": "88428029"}, {"ref": "genxxsky/4th-place-solution-select-patch-verify-test", "kernel_id": "88426768"}, {"ref": "manhnguyen315/5th-place-solution", "kernel_id": "88497200"}, {"ref": "manhnguyen315/5th-place-solution-v2", "kernel_id": "88780793"}, {"ref": "kawchar85/yandex-vlm", "kernel_id": "96803835"}]}
{"competition_id": "84799", "kernels": []}
{"competition_id": "84803", "kernels": []}
{"competition_id": "84841", "kernels": []}
{"competition_id": "84857", "kernels": [{"ref": "abdullah0a/age-prediction-best-scores", "kernel_id": "65556391"}, {"ref": "mmartinezjim/age-prediction-best-scores", "kernel_id": "73316983"}, {"ref": "essington62/predagefinal", "kernel_id": "82584634"}, {"ref": "sakethyalamanchili/predicting-human-age-with-biomarkers", "kernel_id": "82779372"}]}
{"competition_id": "84863", "kernels": [{"ref": "bassemelhusseiny/mushrooms-notebook", "kernel_id": "65911019"}]}
{"competition_id": "84880", "kernels": []}
{"competition_id": "84894", "kernels": [{"ref": "martynovandrey/ps-3-7-autokeras", "kernel_id": "35047984"}, {"ref": "sczhuoffical/s-c-zhu-advanced-lightautoml", "kernel_id": "63234205"}, {"ref": "ppwojtekb/python-sklearn-classification-cookbook", "kernel_id": "64416277"}, {"ref": "jbm1966/h2o-fast-and-dirty-with-target-encoding", "kernel_id": "66928450"}, {"ref": "paddykb/pg-s4e10-loan-shap", "kernel_id": "66889111"}, {"ref": "shrutisaxena/loan-approval-prediction-eda", "kernel_id": "66764973"}, {"ref": "fertueros/ps4e10-loan-approval-prediction-eda", "kernel_id": "66779960"}, {"ref": "cdthinh/lightgbm-baseline-default-features-0-958", "kernel_id": "66841910"}, {"ref": "arpitagupta16/loan-approval-prediction-modelling-0-955", "kernel_id": "66793116"}, {"ref": "arpitagupta16/loan-approval-prediction-eda", "kernel_id": "66750700"}, {"ref": "bjoernholzhauer/ps-s04e10-loan-approval-exploratory-data-analysis", "kernel_id": "66755250"}, {"ref": "cv13j0/loan-approval-prediction-model", "kernel_id": "66948178"}, {"ref": "rkc007/loan-approval-prediction-analysis", "kernel_id": "66743312"}, {"ref": "docxian/ps-s4-e10-loan-approval-binary-classification", "kernel_id": "66781216"}, {"ref": "mjamilmoughal/story-behind-loan-approvals-data-insights", "kernel_id": "66837929"}, {"ref": "mjamilmoughal/from-raw-to-refined-preparing-data-for-insights", "kernel_id": "66781979"}, {"ref": "salman1127/lightgbm-optuna-tutorial", "kernel_id": "66750400"}, {"ref": "oscarm524/ps-s4-ep10-eda-submission-modeling", "kernel_id": "66740816"}, {"ref": "bwandowando/simple-autogluon-template-with-preprocessing", "kernel_id": "66797375"}, {"ref": "ahmedabdulhamid/18-models-blending-s4e10", "kernel_id": "66753216"}, {"ref": "sherlocked99/loan-approval-prediction", "kernel_id": "66911943"}, {"ref": "samoraali/loan-approval-competition-eda", "kernel_id": "66813617"}, {"ref": "craigmthomas/play-s4e10-eda-models", "kernel_id": "66738905"}, {"ref": "mcadriaans/loan-approval-prediction-xgboost-smote", "kernel_id": "66821387"}, {"ref": "asvskartheek/auto-gluon-starter-train-0-9897-pb-0-9671", "kernel_id": "66789361"}, {"ref": "mgranada/playground-s4e10-using-optunasearchcv", "kernel_id": "66942417"}, {"ref": "stephenmurph/autogluon-simple-loan-prediction", "kernel_id": "66738796"}, {"ref": "omarvivas/cb-model-s4e10", "kernel_id": "66785517"}, {"ref": "omarvivas/xgb-model-s4e10", "kernel_id": "66788099"}, {"ref": "omarvivas/lgbm-model-s4e10", "kernel_id": "66787997"}, {"ref": "stpeteishii/loan-approval-lgbm-w-optuna", "kernel_id": "66915187"}, {"ref": "stpeteishii/loan-approval-lgbm-w-optuna-smote", "kernel_id": "66916122"}, {"ref": "stpeteishii/loan-approval-visualize-importance", "kernel_id": "66916980"}, {"ref": "stpeteishii/loan-approval-histplot", "kernel_id": "66900055"}, {"ref": "mpwolke/approved-or-denied-rotate-subplots", "kernel_id": "66737946"}, {"ref": "syerramilli/ps4e10-xgboost-optuna", "kernel_id": "66789696"}, {"ref": "donmarch14/s4e10-downsampling-and-hillclimbing-ensemble", "kernel_id": "66774343"}, {"ref": "wordcards/mean-of-3-gbdt-predictions", "kernel_id": "66860544"}, {"ref": "mexwell/s04e10-loan-prediction-baseline-voting", "kernel_id": "66758971"}, {"ref": "vishnuoum/loan-approval-prediction-eda", "kernel_id": "66745311"}, {"ref": "nickfecondo/loan-approval", "kernel_id": "66771523"}, {"ref": "ganeshstemx/ps-s4e10-loan-approval-prediction-first", "kernel_id": "66747801"}, {"ref": "sierra022/hyperparameter-tuning-with-randomizedsearchcv", "kernel_id": "66773215"}, {"ref": "pierrejeanne/eda-plotly-voting-classifier", "kernel_id": "66763913"}, {"ref": "mananpbansal/loan-approval-ensemble-xgb-lgbm-catboost", "kernel_id": "66798432"}, {"ref": "hiiammrcat/analysis-automl-0-962-loan-behavior-prediction", "kernel_id": "66740704"}, {"ref": "avinandanpal/probability-of-loan-approval", "kernel_id": "66750304"}, {"ref": "anuponkaggle/loan-approval-prediction", "kernel_id": "66922699"}, {"ref": "mohammedragabsaad/pytorch-deep-nn-smote-0-91-auc", "kernel_id": "66783891"}, {"ref": "thomasmeiner/ps4e10-end-to-end-loan-approval-no-fe", "kernel_id": "66764835"}, {"ref": "thomasmeiner/ps4e10-end-to-end-loan-approval", "kernel_id": "66745391"}, {"ref": "dharun4772/loan-approval-prediction-simple-log-reg", "kernel_id": "66791786"}, {"ref": "flaviocavalcante/loan-aprroval-simple-logisticregression", "kernel_id": "66941664"}, {"ref": "cyrilbourgeois/s04-10-loan-approval-prediction-classif", "kernel_id": "66822150"}, {"ref": "yilmazgenc/s4-b10-base-easy-notebook", "kernel_id": "66784785"}, {"ref": "anastasialaschishina/loan-approval", "kernel_id": "66926449"}, {"ref": "lolislayer/data-imblance-process-and-ml-model", "kernel_id": "66763488"}, {"ref": "jimgruman/it-pays-to-discover", "kernel_id": "66738325"}, {"ref": "vladimirmijatovic/h2o-for-loan-approval", "kernel_id": "66979093"}, {"ref": "moyamoya/ps4e10-neuralnetwork-pytorch", "kernel_id": "66819939"}, {"ref": "moyamoya/ps4e10-catboost", "kernel_id": "66769430"}, {"ref": "danishlaraib/loanapproval-score-0-95779-eda-model-xgboost", "kernel_id": "66836076"}, {"ref": "krishnadaskv/pss4-loan-approval-prediction-base-model", "kernel_id": "66737476"}, {"ref": "erykwitkowski/rule-based-80-accuracy-pipeline-lr-rfc-sgd", "kernel_id": "66776535"}, {"ref": "hoale2908/loan-approval-prediction", "kernel_id": "66795670"}, {"ref": "martynovandrey/eda-and-lgb-cat-xgb", "kernel_id": "66737631"}, {"ref": "htonmoy19/pipeline-optuna-xgb-on-loan-status", "kernel_id": "66908724"}, {"ref": "matthuan/loan-approval-prediction-xgbclassifier", "kernel_id": "66917804"}, {"ref": "conradkleykamp/loan-approval-prediction-lgbm-optuna", "kernel_id": "66823656"}, {"ref": "alparslanpolat/starter-comparing-ml-models-no-tuning-no-fe", "kernel_id": "66751095"}, {"ref": "jiprud/catboost-oof-prediction", "kernel_id": "66766903"}, {"ref": "barbagrande007/bbg007-loanapproval-lgbm-xgbo-ada-votingclassifier", "kernel_id": "66741657"}, {"ref": "batuhankalem/autogluon-baseline-for-loan-approval-prediction", "kernel_id": "66746482"}, {"ref": "elmustafagarelnabi/loan-approval-prediction", "kernel_id": "66865652"}, {"ref": "jakubrogulski/ps4e10-in-depth-eda-baseline-submission", "kernel_id": "66757293"}, {"ref": "satyaprakashshukl/loan-approval-prediction", "kernel_id": "66755612"}, {"ref": "omidsakaki1370/loan-approval-eda-preiction", "kernel_id": "66769381"}, {"ref": "ravi20076/playgrounds4e10-imports-v1", "kernel_id": "66745995"}, {"ref": "ravi20076/playgrounds4e10-baseline-v1", "kernel_id": "66738575"}, {"ref": "juuliuus/loan-approval-prediction", "kernel_id": "66886529"}, {"ref": "sentienttrapezoid/pg-s4ep10-loan-status-basic-eda-model-comparisons", "kernel_id": "66752572"}, {"ref": "malaykumar21/loan-approval-prediction", "kernel_id": "66917008"}, {"ref": "vaishnavikalkute/loan-approval-prediction-with-random-forest", "kernel_id": "66767778"}, {"ref": "vivekkr83/loan-approval-prediction", "kernel_id": "66904855"}, {"ref": "omidbaghchehsaraei/ensemble-modeling-for-loan-approval", "kernel_id": "66777949"}, {"ref": "thatmechguy/loan-approval-prediction-eda-model", "kernel_id": "66743903"}, {"ref": "klyushnik/stack-classification-loan-approval-prediction", "kernel_id": "66885194"}, {"ref": "matthewthorne/s4-e10-rf-benchmark-recreation", "kernel_id": "66860651"}, {"ref": "berkayeserr/s4e10-loan-approval-prediction", "kernel_id": "66764525"}, {"ref": "chitrakshsingh/s04-e10-eda", "kernel_id": "66837840"}, {"ref": "rv1922/s4-e10-loan-approval-predition-96-acc", "kernel_id": "66893417"}, {"ref": "rv1922/s4-e10-loan-status-prediction-catboost-97", "kernel_id": "66861015"}, {"ref": "rv1922/s4-e10-check-loan-status-h20", "kernel_id": "66869287"}, {"ref": "rv1922/s4-e10-approval-predictor-ensemble", "kernel_id": "66943025"}, {"ref": "rv1922/s4-e10-loan-status-predictor-soft-voting", "kernel_id": "66944522"}, {"ref": "rv1922/s4-e10-loan-status-predictor", "kernel_id": "66998563"}, {"ref": "rv1922/s4-e10-loan-status-prediction-eda-submission", "kernel_id": "66742842"}, {"ref": "rv1922/s4-e10-approval-of-loan-status", "kernel_id": "66772015"}, {"ref": "rv1922/s4-e10-loan-approval-prediction-xgb", "kernel_id": "66758564"}, {"ref": "rv1922/s4-e10-loan-status-prediction-lgbm", "kernel_id": "66759618"}, {"ref": "rv1922/s4-e10-loan-status-predictor-using-base-model", "kernel_id": "66747362"}, {"ref": "rv1922/s4-e10-check-loan-status", "kernel_id": "66799272"}, {"ref": "rv1922/s4-e10-loan-status-predictor-lgbm-auc-roc", "kernel_id": "66823880"}, {"ref": "rubanzasilva/xgb-lgb-cat-neural-nets-with-fast-ai", "kernel_id": "66758284"}, {"ref": "nitishkumar03382/loan-approval", "kernel_id": "66781464"}, {"ref": "cndrip/lgb-baseline-and-5-fold-0-96", "kernel_id": "66752965"}, {"ref": "cndrip/loan-approval-lgb-cat", "kernel_id": "66875995"}, {"ref": "mariusborel/voting-classifier-on-loan-approval", "kernel_id": "66911466"}, {"ref": "mariusborel/loan-approval-0-965-lgbm", "kernel_id": "66767763"}, {"ref": "mariusborel/eda-and-lgbm-loan-approval-prediction", "kernel_id": "66740877"}, {"ref": "kapturovalexander/kapturov-s-loan-approval-prediction-s4e10", "kernel_id": "66738918"}, {"ref": "suhailaaboubakr/loan-approval-prediction", "kernel_id": "66763836"}, {"ref": "ryrlwakala/loanapprovalprediction", "kernel_id": "66996659"}, {"ref": "samvelkoch/s4e10-eda-interactions-pdp-anomalies", "kernel_id": "66746401"}, {"ref": "khalednabawi/loan-approval-prediction", "kernel_id": "66907251"}, {"ref": "malindaratnaduhita/loan-approval-prediction-lightgbm-optuna", "kernel_id": "66982873"}, {"ref": "nikzagl/loan-approval-prediction-graphics-catboost", "kernel_id": "66750179"}, {"ref": "priyanshu594/loan-approval-prediction-catboost-optuna", "kernel_id": "66749266"}, {"ref": "merzaferaka/loan-approval-prediction", "kernel_id": "66774800"}, {"ref": "raniahelmy/loan-approval-prediction-eda-v1", "kernel_id": "66774892"}, {"ref": "viktortaran/ps-s-4-e-10", "kernel_id": "66754816"}, {"ref": "chanchal24/s4e10-eda-optuna", "kernel_id": "66746822"}, {"ref": "gmudit/ps-s4-e10-loan-approval", "kernel_id": "66747088"}, {"ref": "toddgardiner/s4e10-visual-eda-matplotlib-seaborn", "kernel_id": "66737265"}, {"ref": "toddgardiner/s4e10-visual-eda-vega-altair", "kernel_id": "66741958"}, {"ref": "adastroabyssosque/loan-approval-prediction-with-cascade-models", "kernel_id": "66781098"}, {"ref": "gungun1309/baseline-model-rfclassifier", "kernel_id": "66798911"}, {"ref": "rudrakumar96/loan-approval-eda-automl", "kernel_id": "66854552"}, {"ref": "akhiljethwa/ps4e10-eda-xgboost-for-starters", "kernel_id": "66782667"}, {"ref": "sumit08/loan-approval-prediction-using-xgboost-0-9556", "kernel_id": "66780798"}, {"ref": "sumit08/loan-approval-prediction-using-lightgbm", "kernel_id": "66897436"}, {"ref": "sumit08/loan-approval-prediction", "kernel_id": "66896931"}, {"ref": "sumit08/loan-appoval-prediction-using-lightgbm", "kernel_id": "66885375"}, {"ref": "guanlintao/eda-h2o-automl-loan-approval-prediction", "kernel_id": "66756392"}, {"ref": "grooper/check-loan-status-first-eda-train-baseline-model", "kernel_id": "66767089"}, {"ref": "mathewshuvarikov/lightautoml-loan-approval-prediction", "kernel_id": "66779702"}, {"ref": "carloscll/clean-baseline", "kernel_id": "66839800"}, {"ref": "carloscll/cross-val-for-data-analysis", "kernel_id": "66775703"}, {"ref": "natchaphonkamhaeng/pg-loan-approval-prediction", "kernel_id": "66821136"}, {"ref": "crisbebop/loan-autogluon-l1", "kernel_id": "66815861"}, {"ref": "crisbebop/loan-initial-notebook", "kernel_id": "66785270"}, {"ref": "lasisiromoke/loan-approval", "kernel_id": "66879889"}, {"ref": "teranekerimova/eda-loan-approval-prediction", "kernel_id": "66752550"}, {"ref": "robertopariente/baseline-lightgbm-optuna-loanapproval", "kernel_id": "66767019"}, {"ref": "atharva0577/loan-approval-catboost-skorch", "kernel_id": "66738756"}, {"ref": "backpaker/linear-ensemble-hill-climbing", "kernel_id": "66794726"}, {"ref": "backpaker/loan-approval-prediction-eda", "kernel_id": "66739245"}, {"ref": "backpaker/lgbm-hill-climbing", "kernel_id": "66740211"}, {"ref": "backpaker/tabnet-ensemble-ridge-lasso", "kernel_id": "66937684"}, {"ref": "trupologhelper/autogluon-the-simplest-solution-classification", "kernel_id": "66737387"}, {"ref": "vishnupriyagarige/loan-approval-prediction-lgbm", "kernel_id": "66738987"}, {"ref": "vishnupriyagarige/loan-approval-prediction-xgb", "kernel_id": "66738308"}, {"ref": "vishnupriyagarige/loan-approval-prediction-catboost", "kernel_id": "66739763"}, {"ref": "vishnupriyagarige/loan-approval-prediction-votingclassifier", "kernel_id": "66786732"}, {"ref": "vishnupriyagarige/loan-approval-prediction-gboostingclassifier", "kernel_id": "66892376"}, {"ref": "yunsuxiaozi/ps4e10-yunbase", "kernel_id": "66738916"}, {"ref": "gyogyocat/4-10-baseline-gb-xg-cat-nn", "kernel_id": "66737428"}, {"ref": "sudeepfullel/xgb-lgb-catboost", "kernel_id": "66794284"}, {"ref": "srj321/loan-approval", "kernel_id": "66824327"}, {"ref": "lorenzy/full-eda-apply-29-ml-models-for-loan-status", "kernel_id": "66942052"}, {"ref": "enesgok/loan-approval-prediction-eg17-all-code", "kernel_id": "66899907"}, {"ref": "mcan2138/more-tangible-with-votingclassifier", "kernel_id": "66755120"}, {"ref": "mcan2138/without-original-loan-approval-prediction-xgb", "kernel_id": "66743220"}, {"ref": "mcan2138/without-hill-climbing-votc-lgbm-optuna-blend", "kernel_id": "66823720"}, {"ref": "rabbitx86/begginer-lightgbm-optuna-score-0-96156", "kernel_id": "66862321"}, {"ref": "abeshith/pse4s10-rf-loan-approval", "kernel_id": "66749131"}, {"ref": "abeshith/pse4s10-loan-approval-automl-h2o", "kernel_id": "66742376"}, {"ref": "qemharitsk/loan-prediction-ml", "kernel_id": "66821073"}, {"ref": "eprossinger/ps-s4e10-score-0-95924-eda-datapreprocessing", "kernel_id": "66771565"}, {"ref": "snehalkhandewale/loan-eligibility", "kernel_id": "66868112"}, {"ref": "snehalkhandewale/loan-eligibility-check", "kernel_id": "66939847"}, {"ref": "darkdevil18/0-97362-loan-or-no-loan", "kernel_id": "66787927"}, {"ref": "ojshavsaxena/loan-prediction", "kernel_id": "66759015"}, {"ref": "arunklenin/ps4e10-loan-approval-prediction-fe-ensemble", "kernel_id": "66798172"}, {"ref": "nayansubedi1/loan-approval-prediction", "kernel_id": "66746884"}, {"ref": "shreyasur965/loan-approval-prediction-basic-notebook-95", "kernel_id": "66946288"}, {"ref": "gbriandaum/bdaum-first-submission", "kernel_id": "66950590"}, {"ref": "richardhhong/loans-status-classification", "kernel_id": "66780584"}, {"ref": "nikitavet/s04e10-baseline-ensemble", "kernel_id": "66946245"}, {"ref": "fredericnicholson/where-is-the-money-polars-autogluon", "kernel_id": "66993995"}, {"ref": "akashmishra091/easy-understanding", "kernel_id": "66814147"}, {"ref": "curtiscoding1/s4e10-stacking-ensemble-optuna-v2", "kernel_id": "66944536"}, {"ref": "curtiscoding1/s4e10-ensemble-optuna-eda-loan-approval", "kernel_id": "66767871"}, {"ref": "amri11/loan-approve-use-r-prog", "kernel_id": "66741374"}, {"ref": "younusmohamed/25-01-autogluon-raw-data", "kernel_id": "66946608"}, {"ref": "alihassanshahid/gradboosting-using-gridsearchcv", "kernel_id": "66743914"}, {"ref": "mikhailnaumov/loan-approval-ensemble-nn-xgb-lgbm-cat", "kernel_id": "66755237"}, {"ref": "ravaghi/s04e10-loan-approval-prediction-autogluon", "kernel_id": "66800986"}, {"ref": "ravaghi/loan-approval-prediction-8th-place-solution", "kernel_id": "66820652"}, {"ref": "ravaghi/s04e10-loan-approval-prediction-ensemble", "kernel_id": "66777545"}, {"ref": "shraddhatripathi1906/loan-approval-prediction", "kernel_id": "66970579"}, {"ref": "guilhermepoliveira/ensemble-weights", "kernel_id": "66785120"}, {"ref": "nilotpalmaitra/eda-loan-approval-prediction-tpe-sampler-xgboost", "kernel_id": "66797044"}, {"ref": "kingkcabir/loan-status-with-lightgbm", "kernel_id": "66760194"}, {"ref": "anthonytherrien/polished-skeleton-optuna-and-autogluon", "kernel_id": "66785756"}, {"ref": "roqayyeh/loanapproval-cls", "kernel_id": "66752248"}, {"ref": "abdmental01/lap-ps4e10-get-started", "kernel_id": "66780498"}, {"ref": "randomguy24/loan-approval-prediction-nn", "kernel_id": "66343876"}, {"ref": "igorvolianiuk/loan-approval-eda-catboost-optuna", "kernel_id": "66772572"}, {"ref": "deepakjanapa/loan-prediction", "kernel_id": "66780680"}, {"ref": "angkul/loan-approval", "kernel_id": "66773637"}, {"ref": "mlippo/py-nn-trees", "kernel_id": "66850717"}, {"ref": "koshijain/loan-approval-prediction-using-lgbm", "kernel_id": "66746994"}, {"ref": "adyiemaz/xgb-optuna-loan-approval-prediction", "kernel_id": "66930305"}, {"ref": "ismailtekinx/season-4-episode-10", "kernel_id": "66930223"}, {"ref": "oralia/lgbm-catboost-xgb-ensemble", "kernel_id": "66743278"}, {"ref": "ssyyhh/eda-of-ownership-by-loan-prediction-of-loan", "kernel_id": "66863836"}, {"ref": "sunnyvarnawal/loan-approval", "kernel_id": "66809287"}, {"ref": "dheerajcl/autogluon-starter", "kernel_id": "66796356"}, {"ref": "yteshima/ps4s10-eda-gbdt-gp", "kernel_id": "66761420"}, {"ref": "huynguyen26/loan-approval-prediction-randomforestclassifier", "kernel_id": "66977548"}, {"ref": "sandeepadalagiyawana/loan-approval-prediction-0-95803-score", "kernel_id": "66897526"}, {"ref": "recepbattal/loanapprovalpreds", "kernel_id": "66937707"}, {"ref": "kimhoogenboom/approval-roulette", "kernel_id": "66968594"}, {"ref": "leanaz/pgs4e10-eda-in-r", "kernel_id": "66740368"}, {"ref": "ppwojtekb/python-yggdrasil-df-classification-cookbook", "kernel_id": "66805422"}, {"ref": "raghunandan9605/loan-approval-prediciton", "kernel_id": "66753493"}, {"ref": "quantum09/can-i-get-a-loan-eda-baseline-ensemble", "kernel_id": "66737685"}, {"ref": "evertonpm/loanapproval-catboost-0-96544", "kernel_id": "66792162"}, {"ref": "ahmedashraf299/loan-status-prediction-rf-as-the-top-model-94", "kernel_id": "66941769"}, {"ref": "harshahalpara/xgboost-with-some-cleaning", "kernel_id": "66777420"}, {"ref": "horokami/pytorch-93-simple-preprocessing-and-deep-nn-o-k", "kernel_id": "66779669"}, {"ref": "victorhiga/lgbm-baseline-model", "kernel_id": "66739772"}, {"ref": "arnavsuiiiiiiiiiiii/loan-predict2", "kernel_id": "66954403"}, {"ref": "danialia/ps4e9-playground-series", "kernel_id": "66777389"}, {"ref": "ultimatemagic79/ps4e10-lgbm-optuna-with-imbalance-data", "kernel_id": "66939163"}, {"ref": "ultimatemagic79/ps4e10-quick-start-eda-lgbm", "kernel_id": "66922031"}, {"ref": "a5hvin/lgbm-model-with-90-accuracy", "kernel_id": "66745456"}, {"ref": "sajjadalishah/loan-approval-prediction-using-xgboost", "kernel_id": "66835469"}, {"ref": "zjzhao1002/loan-approval-prediction-xgboost-optuna", "kernel_id": "66738891"}, {"ref": "cartoonistbeard/automl-h2o-0-96576-simple-code", "kernel_id": "66768323"}, {"ref": "cartoonistbeard/smoth-optuna-0-95891", "kernel_id": "66819983"}, {"ref": "timurburovvv/fork-of-nsemble-automl-hightest-scoree-9010f5", "kernel_id": "66960401"}, {"ref": "timurburovvv/nsemble-automl-hightest-scoree", "kernel_id": "66760912"}, {"ref": "timurburovvv/automl-hightest-score", "kernel_id": "66740966"}, {"ref": "metinhsimimi/loan-approval-prediction", "kernel_id": "66760966"}, {"ref": "juhyunsuh/loan-approval-catboost", "kernel_id": "66740646"}, {"ref": "macaronimutton/eda-3d-pca-roc-curve-lgbm-optuna-tuning", "kernel_id": "66748064"}, {"ref": "christophjaeger/loan-approval", "kernel_id": "66782186"}, {"ref": "yukodate/loan-approval-prediction", "kernel_id": "66968374"}, {"ref": "syedfaizanalii/ps4e10-xgb", "kernel_id": "66739588"}, {"ref": "trietp1253201581/loan-approval-prediction-s4e10", "kernel_id": "66876779"}, {"ref": "clemencetravers/s4-e10-cat-xgb-reg", "kernel_id": "66822066"}, {"ref": "tarachanrana/loanaprvl-prediction", "kernel_id": "66978627"}, {"ref": "imthebaron/loan-approval-test", "kernel_id": "66834407"}, {"ref": "aryagokh/are-you-eligible-for-loan-eda", "kernel_id": "66741071"}, {"ref": "aryagokh/fe-are-you-eligible-for-loan", "kernel_id": "66796590"}, {"ref": "nguyenmm/predict-loan-approval-using-xgboost", "kernel_id": "66851665"}, {"ref": "here78682/s4e10-loan-approval-prediction-overview", "kernel_id": "66919621"}, {"ref": "rudenkobogdan/ps4e10-eda-experimental-lgb-xgb-catb-line", "kernel_id": "66778746"}, {"ref": "rudenkobogdan/ps4e10-eda-gpu-pytorch-nn-val-0-95", "kernel_id": "66753163"}, {"ref": "ugurokarapunar/loan-approval-predict", "kernel_id": "66746499"}, {"ref": "devodry/loan-approval-prediction", "kernel_id": "66852797"}, {"ref": "devodry/loan-notebook-playground", "kernel_id": "66738697"}, {"ref": "swandipsingha/s4e10-10th-ranked-solution", "kernel_id": "66885711"}, {"ref": "dherekalejandro/predicci-n-de-aprobaci-n-de-pr-stamos", "kernel_id": "66918943"}, {"ref": "vitormeurerbesen/40-single-models-stacking-xgb-cb-lgbm", "kernel_id": "66738154"}, {"ref": "asgharqamberrizvi/loan-approval", "kernel_id": "66810467"}, {"ref": "kparthiban007/loan-approval-prediction", "kernel_id": "66887839"}, {"ref": "nouranmahmoudd/loan-status-prediction-accuracy-95", "kernel_id": "66984047"}, {"ref": "salmarashwan/loan-risk-forecasting-ml-and-financial-analysis", "kernel_id": "66772062"}, {"ref": "murfing/loan-approval", "kernel_id": "66924952"}, {"ref": "zongaobian/loan-approval-prediction", "kernel_id": "66800271"}, {"ref": "nachotamak/spanish-loan-approval-0-96012", "kernel_id": "66794748"}, {"ref": "edgardoamoralessilva/loan-defaulting-prediction-with-r-and-xgboost", "kernel_id": "66851184"}, {"ref": "isseimatsuzoe/loan-approval-prediction", "kernel_id": "66977980"}, {"ref": "realshivarv/loan-approval-predictor-using-pca-tuned-svm", "kernel_id": "66991027"}, {"ref": "wafaaalayoubi/mysecondproject", "kernel_id": "66745028"}, {"ref": "awaken007/xgbc-ann-approval-prediction", "kernel_id": "66935249"}, {"ref": "awaken007/approval-prediction-xgbc-v01", "kernel_id": "66888706"}, {"ref": "joelhamilton/loan-approval-prediction", "kernel_id": "66743726"}, {"ref": "kailex/tidy-loaner", "kernel_id": "67175171"}, {"ref": "paddykb/ps-s4e10-no-keras-no-loan-cv-0-963", "kernel_id": "67096811"}, {"ref": "bjoernholzhauer/ps-s04e10-knn", "kernel_id": "67093254"}, {"ref": "bjoernholzhauer/ps-s04e10-perpetualbooster", "kernel_id": "67336035"}, {"ref": "narsil/knai-2024-10-07-loan-approval", "kernel_id": "67103067"}, {"ref": "rkc007/s4e10-catboost-lightgbm-xgboost-stacked-model", "kernel_id": "67244496"}, {"ref": "lucabasa/s04e10-loan-approvals", "kernel_id": "67227366"}, {"ref": "kusumakar/loan-predictions-92-roc-score", "kernel_id": "67082204"}, {"ref": "qwerty29544/loan-status-prediction-eda", "kernel_id": "67268498"}, {"ref": "fuleiuser/note-complete-01", "kernel_id": "67313747"}, {"ref": "dellalkhaled/onehot-encoding", "kernel_id": "67214167"}, {"ref": "dellalkhaled/getting-categorical-columns", "kernel_id": "67212389"}, {"ref": "newra008/loan-approval-predication-using-cat-boost", "kernel_id": "67075302"}, {"ref": "newra008/loan-approval-prediction-using-xgb-model", "kernel_id": "67189823"}, {"ref": "akhilsangaonkar/perfect-clustering-in-latent-space", "kernel_id": "67578759"}, {"ref": "wguesdon/eda-langchain-feature-engineering-autogluon", "kernel_id": "67152660"}, {"ref": "wguesdon/starter-eda-modeling-template-notebook", "kernel_id": "67043680"}, {"ref": "wguesdon/eda-langchain-autogluon", "kernel_id": "67119991"}, {"ref": "hipparkarrahul18/loan-approval-prediction", "kernel_id": "67224883"}, {"ref": "vishnuoum/loan-approval-prediction", "kernel_id": "67150833"}, {"ref": "yeonseokcho/loan-approval-prediction", "kernel_id": "67315999"}, {"ref": "aswing/loan-approval", "kernel_id": "67712013"}, {"ref": "kuznetsovalexandr/xgboost-k-fold-cv-loan-approval-prediction", "kernel_id": "67319902"}, {"ref": "lonnieqin/loan-approval-prediction-with-pytorch", "kernel_id": "67051435"}, {"ref": "lonnieqin/loan-approval-prediction-with-tabtransformer", "kernel_id": "67173689"}, {"ref": "synchrocyclotron/just-few-lines-of-autogluon", "kernel_id": "67158066"}, {"ref": "nicolechong/data-exploration-fs-xgboost-0-9592", "kernel_id": "67077048"}, {"ref": "tomilovivan/loan-status-prediction-eda", "kernel_id": "67400977"}, {"ref": "leetolo/super-simple-xgboostclassifier-v1", "kernel_id": "67130298"}, {"ref": "tracyporter/play-4-10-extra-trees-proba", "kernel_id": "67012323"}, {"ref": "arlle26/s4e10-lgb-xgb-cat-optuna-lb0-96342", "kernel_id": "67816212"}, {"ref": "arlle26/s4e10-eda-lgb-xgb-optuna-0-96078", "kernel_id": "67646754"}, {"ref": "arlle26/s4e10-simple-eda-lgb-xgb-0-95496", "kernel_id": "67196228"}, {"ref": "mohammedragabsaad/random-forest-smote-0-92-auc", "kernel_id": "67340869"}, {"ref": "thomasmeiner/llm-automl-no-preproc", "kernel_id": "67840031"}, {"ref": "thomasmeiner/ps4e10-is-test-data-different-from-train-data", "kernel_id": "67107448"}, {"ref": "thomasmeiner/ps4e10-loan-approval-via-outlier-detection", "kernel_id": "67004691"}, {"ref": "thomasmeiner/ps4e10-soft-clustering-and-mahalanobi-dist", "kernel_id": "67205379"}, {"ref": "thomasmeiner/ps4e10-loan-approval-learn-from-error-1-6-3", "kernel_id": "67927141"}, {"ref": "pratishthachaturvedi/loan-approval-prediction-randomforest", "kernel_id": "67023762"}, {"ref": "sspan0019/s4e10-optuna-lgbm", "kernel_id": "67755607"}, {"ref": "sspan0019/s4e10-optuna-xgboost", "kernel_id": "67766015"}, {"ref": "sspan0019/s4e10-multi-channel-deep-neural-network", "kernel_id": "67569669"}, {"ref": "sspan0019/s4e10-model-comparison-ensemble", "kernel_id": "67388642"}, {"ref": "johyein/loan-prediction-hi-test", "kernel_id": "67238880"}, {"ref": "fkaanfirat/loan-approval-prediction-with-ann", "kernel_id": "67282535"}, {"ref": "garfield2021/loan-approval-prediction-catboostclassifier-only", "kernel_id": "67918243"}, {"ref": "ogwalakello/calibrated-catboost", "kernel_id": "67813195"}, {"ref": "carlmalina/ps4e10-tuning-hyperparameters-with-optuna", "kernel_id": "67158410"}, {"ref": "anubhutirathi/loanprediction", "kernel_id": "67934601"}, {"ref": "vladimirmijatovic/xgboost-very-finely-tuned", "kernel_id": "67009658"}, {"ref": "moyamoya/ps4e10-lightgbm", "kernel_id": "67048244"}, {"ref": "lbrarali/loan-approval-prediction", "kernel_id": "67257289"}, {"ref": "iamtapendu/loan-approval-prediction-lightbgm-catboost", "kernel_id": "67089106"}, {"ref": "vasanthkumarl/naive-bais-noob-try", "kernel_id": "67201777"}, {"ref": "fardinpy/optimizing-loan-predictions-with-xgboost", "kernel_id": "67006456"}, {"ref": "jiprud/tabnet-classifier", "kernel_id": "67828692"}, {"ref": "jiprud/ensemble-techniques", "kernel_id": "67130924"}, {"ref": "batuhankalem/stacking-ensemble-approach-for-loan-approval", "kernel_id": "67951034"}, {"ref": "jojoyorki/loan-or-not-begineer-in-chinese-score-0-91", "kernel_id": "67896643"}, {"ref": "emrekele/loan-24", "kernel_id": "67007829"}, {"ref": "kishar/loan-approval-competition-notebook", "kernel_id": "67898841"}, {"ref": "jvachier/ensemble-model-loan-prediction", "kernel_id": "67031233"}, {"ref": "tamphamtt/loan-approval-prediction-using-lightgbm-optuna", "kernel_id": "67624699"}, {"ref": "rodrigosilva33333/loans-prediction", "kernel_id": "67234300"}, {"ref": "vp3033/loan-approval", "kernel_id": "67381771"}, {"ref": "tikaramsubedy/loan-approval-prediction", "kernel_id": "67290026"}, {"ref": "mkagglec/loan-approval", "kernel_id": "67049386"}, {"ref": "manishkashyap1997/using-randomforest-f1score-97", "kernel_id": "67147238"}, {"ref": "suehuynh/kaggle-s4e10-loan-approval-prediction", "kernel_id": "67572527"}, {"ref": "rv1922/s4-e10-loan-status-predictor-lgbm", "kernel_id": "67028613"}, {"ref": "rv1922/s4-e10-predicting-loan-approval", "kernel_id": "67001448"}, {"ref": "rv1922/s4-e10-loan-approval-catboost-auc-roc", "kernel_id": "67094994"}, {"ref": "rv1922/s4-e10-loan-status-approval-catboost", "kernel_id": "67156527"}, {"ref": "rv1922/s4-e10-loan-approval-prediction-automl", "kernel_id": "67301392"}, {"ref": "rv1922/s4-e10-loan-approval-cat-lgbm-xgboost", "kernel_id": "67769005"}, {"ref": "zygradeking/loan-apr", "kernel_id": "67044860"}, {"ref": "rajawatdevendrasingh/devendra-loan-approval-prediction-model2", "kernel_id": "67012372"}, {"ref": "stathj/loan-predict-project-ev", "kernel_id": "67237129"}, {"ref": "mariusborel/best-lgbm-version-loan-approval", "kernel_id": "67588823"}, {"ref": "samvelkoch/s4e10-openfe-460-features", "kernel_id": "67147860"}, {"ref": "samvelkoch/s4e10-feature-tools-100-features-extractor", "kernel_id": "67148507"}, {"ref": "yhbbbb/loan-prediction", "kernel_id": "67078419"}, {"ref": "evgeniynuzhdin/loan-approval-baseline", "kernel_id": "67097179"}, {"ref": "yubraj11/loan-prediction-gb-v3-score-0-96096", "kernel_id": "67695738"}, {"ref": "indranil98/notebookc19165031f", "kernel_id": "67903313"}, {"ref": "bhaveshg20/ensemble-loan-approval", "kernel_id": "67100617"}, {"ref": "chunhsientsai/cudf-pandas-ps4e10-2dataset", "kernel_id": "67900830"}, {"ref": "devanshu0602/smote-balancing-and-simple-classification", "kernel_id": "67315671"}, {"ref": "toddgardiner/s4e10-logistic-reg-statsmodels-backprop-cv", "kernel_id": "67979074"}, {"ref": "vijay20213/loan-status-approved-not-95-accuracy", "kernel_id": "67981076"}, {"ref": "francescoliveras/ps-s4-e10-eda-model-en-es", "kernel_id": "67081343"}, {"ref": "kavya1605/loanprediction-1", "kernel_id": "67320336"}, {"ref": "tonychirilus/loan-approval-made-simple-with-xgboost", "kernel_id": "67979741"}, {"ref": "arthurarstamyan/data-cleaning-eda-feature-engin-model-selection", "kernel_id": "67829991"}, {"ref": "yaminh/0-96258-pss4e10-autoviz-autogluon", "kernel_id": "67245478"}, {"ref": "petrolbloo/loan-project-notebook-1st", "kernel_id": "67236999"}, {"ref": "petrolbloo/loan-project-notebook-2nd", "kernel_id": "67529459"}, {"ref": "bassetkerouche/loan-approval-modeling", "kernel_id": "67216102"}, {"ref": "bassetkerouche/voting-classifier-hard-and-soft-for-loan-approval", "kernel_id": "67410260"}, {"ref": "bassetkerouche/cateboost-without-features-engineering", "kernel_id": "67936275"}, {"ref": "vinitpitrubhakta/loan-prediction-using-catboost-and-ann", "kernel_id": "67449120"}, {"ref": "behzadgerami/loan-approval-prediction-gridsearch-on-lightgbm", "kernel_id": "67323311"}, {"ref": "nikhil029/loanpredict-4-10", "kernel_id": "67770638"}, {"ref": "shadymohammed205/auc-driven-model-tuning-with-lightgbm-and-optuna", "kernel_id": "67892390"}, {"ref": "crisbebop/loan-approval-with-dnn", "kernel_id": "67892677"}, {"ref": "crisbebop/frequency-encoder-example", "kernel_id": "67852291"}, {"ref": "eu1234/loan-approval-eda-fe-pipeline-optuna-ensemble", "kernel_id": "67034780"}, {"ref": "noodl35/hyperparameter-tuning-with-og-data", "kernel_id": "67062016"}, {"ref": "noodl35/loan-approval-basic-autogluon-solutionv2", "kernel_id": "67117692"}, {"ref": "noodl35/tabnetclassifier", "kernel_id": "67179732"}, {"ref": "trupologhelper/boosting-synergy-six-model-blend-for-loan-predict", "kernel_id": "67903405"}, {"ref": "syednazmussakib/ps4e10-pytorch-tabnet", "kernel_id": "67217648"}, {"ref": "syednazmussakib/h2o-autogluon", "kernel_id": "67287056"}, {"ref": "syednazmussakib/merged", "kernel_id": "67397201"}, {"ref": "cristhianccalah/loan-approval-prediction-lgbm-catb-xgb", "kernel_id": "67071843"}, {"ref": "aniketkumar07/laon-perdiction", "kernel_id": "67340238"}, {"ref": "abhinavkatiyan/loan-approval-prediction-96", "kernel_id": "67940116"}, {"ref": "gallo33henrique/ps4e10-machine-learning-hyperparameter-tuning", "kernel_id": "67400141"}, {"ref": "shrikrishnaparab/loan-approval-competition", "kernel_id": "67079038"}, {"ref": "nehagupta09/loan-prediction-using-ann", "kernel_id": "67144014"}, {"ref": "enesgok/loan-approval-prediction-eg17-detail-eda", "kernel_id": "67998995"}, {"ref": "anmatngu/0-97133-cat-optuna-loan-approval", "kernel_id": "67359608"}, {"ref": "ratnarohith/pss4e10-loan-approval-prediction", "kernel_id": "67037200"}, {"ref": "shreyasdasari7/loan-approval", "kernel_id": "67018981"}, {"ref": "rishikumaryadav/loan-approval-prediction-xgboost", "kernel_id": "67193731"}, {"ref": "rishikumaryadav/advanced-loan-approval-prediction-using-logistic-r", "kernel_id": "67195825"}, {"ref": "samiratpadkar/ann-approach-with-93-accuracy", "kernel_id": "67159192"}, {"ref": "itasps/autogluon-loan-approval-predictionvers2-0", "kernel_id": "67957829"}, {"ref": "snehalkhandewale/loan-eligibility-xgb-with-randomsearchcv", "kernel_id": "67324387"}, {"ref": "sainiharikanaidu/loan-prediction", "kernel_id": "67211051"}, {"ref": "satvshr/loan-approval-xgb-lgbm-cat", "kernel_id": "67211716"}, {"ref": "darkdevil18/0-97362-loan-approval-catboost-ensemble", "kernel_id": "67123455"}, {"ref": "alkidiarete/meta-learner-loanapproval", "kernel_id": "67243719"}, {"ref": "alkidiarete/votingclassifier", "kernel_id": "67187906"}, {"ref": "pankajdebroy/0-95908-loan-approval-prediction", "kernel_id": "67363699"}, {"ref": "mriscm/loanpred-stacking", "kernel_id": "67264991"}, {"ref": "nicolasorefice/loan-approval-predictor-using-optuna-smote", "kernel_id": "67921960"}, {"ref": "samanfatima7/loan-catboost-starter-part-2", "kernel_id": "67090006"}, {"ref": "hridaydesai/loanapproval-deepneural", "kernel_id": "67394023"}, {"ref": "marydata/ps4e10-pca-catboost-optuna", "kernel_id": "67891637"}, {"ref": "mimansari/mim-loan-approval-prediction-h2oautoml", "kernel_id": "67296095"}, {"ref": "mimansari/new-loan-approval-prediction", "kernel_id": "67169850"}, {"ref": "ayucha/s4e10-loan-approval-prediction", "kernel_id": "67227973"}, {"ref": "gbriandaum/bdaum-ydf", "kernel_id": "67909048"}, {"ref": "abhishekm0403/loan-approval-prediction", "kernel_id": "67712754"}, {"ref": "nikitavet/s04e10-lama-denselight", "kernel_id": "67091154"}, {"ref": "nikitavet/s04e10-mlp-tuned", "kernel_id": "67093779"}, {"ref": "nikitavet/s04e10-lama-ensemble", "kernel_id": "67082280"}, {"ref": "sanidhyagoel/loan-approval-prediction-using-xgboost", "kernel_id": "67705055"}, {"ref": "bilalibrahimitu/permutation-importance-loan-approval", "kernel_id": "67898430"}, {"ref": "aounraza/loan-approval-predictions", "kernel_id": "67932321"}, {"ref": "borayongacoglu/plays4e10-simple-preprocessing-pipeline", "kernel_id": "67283203"}, {"ref": "borayongacoglu/plays4e10-loan-eda-feedback-wanted", "kernel_id": "67114411"}, {"ref": "borayongacoglu/eda-on-the-original-data", "kernel_id": "67844808"}, {"ref": "borayongacoglu/4-logistic-regression-models-cv", "kernel_id": "67349904"}, {"ref": "borayongacoglu/loan-preprocessing-pipeline-expanded-data", "kernel_id": "67919436"}, {"ref": "jashwanthreddy0264/s4e10-loan-approval-pred-xgboost-catboost", "kernel_id": "67382394"}, {"ref": "terryducarre/loan-approval-prediction-eda-ensemble", "kernel_id": "67098458"}, {"ref": "cheesecke/loan-status-prediction-xgboost", "kernel_id": "67374538"}, {"ref": "cheesecke/loan-approval-predicction-ann", "kernel_id": "67079403"}, {"ref": "yoondonghan/kaggle-test-logisitic-regrssion-update2", "kernel_id": "67776982"}, {"ref": "yoondonghan/ydhimbak", "kernel_id": "67236983"}, {"ref": "mnh250/ps-s4e10-eda", "kernel_id": "67855342"}, {"ref": "mennatullahelzarqa/loan-approval-prediction-rf", "kernel_id": "67448109"}, {"ref": "dheliu/loan-approval-prediction-autogluon-with-gpu", "kernel_id": "67428369"}, {"ref": "muzamilmagsi/blend-four-submissions", "kernel_id": "67170931"}, {"ref": "muzamilmagsi/loan-prediction-final", "kernel_id": "67171252"}, {"ref": "pratyushojha12/loan-approval-pred-automl", "kernel_id": "67905038"}, {"ref": "pratyushojha12/loan-approval-pred-xgboost-lgbm-catboost-optuna", "kernel_id": "67364569"}, {"ref": "caokhoihuynh/p4e10-loan-approval-prediction", "kernel_id": "67296891"}, {"ref": "sczhuoffical/s-c-zhu-combined-models-operation-lap", "kernel_id": "67859566"}, {"ref": "sczhuoffical/s-c-zhu-faml-method-loan-ap", "kernel_id": "67124677"}, {"ref": "sczhuoffical/fork-of-s-c-zhu-advanced-lightautoml", "kernel_id": "67139150"}, {"ref": "sczhuoffical/s-c-zhu-lap-exporation-h2o", "kernel_id": "67183073"}, {"ref": "sczhuoffical/s-c-zhu-advanced-lightautoml-fold", "kernel_id": "67236953"}, {"ref": "lucasyukioimafuko/fast-loan-prediction-with-decision-trees-r", "kernel_id": "67673395"}, {"ref": "oleksiilatypov/loan-approval-prediction-catboost-optuna", "kernel_id": "67268285"}, {"ref": "muhammadzainurrahman/loan-approval-prediction-with-xgb-accuracy-95", "kernel_id": "67100847"}, {"ref": "mhassaan1122/predicting-loan-approval-using-ensemble-models", "kernel_id": "67257270"}, {"ref": "asmahachaichi/loan-approval-prediction-automl", "kernel_id": "67837429"}, {"ref": "ogulcancck/loan-approval-prediction-eda-catboost", "kernel_id": "67397905"}, {"ref": "sdeogade/loan-approval-prediction", "kernel_id": "67284346"}, {"ref": "ravaghi/s04e10-hill-climbing-with-autogluon-oofs", "kernel_id": "67144534"}, {"ref": "ravaghi/s04e10-ensembling-autogluon-oofs-manually", "kernel_id": "67144538"}, {"ref": "karnavivek/logistic-regression", "kernel_id": "67255948"}, {"ref": "sathishgsmss/accuracy-81-gradient-boosting-model", "kernel_id": "67039149"}, {"ref": "zeel0725/loan-approval-prediction", "kernel_id": "67188171"}, {"ref": "gagandeep44489/s4-e10-loan-status-prediction-catboost-97", "kernel_id": "67188534"}, {"ref": "roqayyeh/loanapproval-cls-xgb", "kernel_id": "67880893"}, {"ref": "roqayyeh/loanapproval-cls-resample-svc", "kernel_id": "67311668"}, {"ref": "roqayyeh/loanapproval-cls-classweight-svc-tuning", "kernel_id": "67365104"}, {"ref": "botaylaamin/loan-approval-prediction", "kernel_id": "67336495"}, {"ref": "mustafashoukat/votingclassifier", "kernel_id": "67228744"}, {"ref": "randomguy24/loan-approval-prediction-simple-ag-approach", "kernel_id": "67591743"}, {"ref": "sharmadeepankaj/loan-approval-prediction", "kernel_id": "67061110"}, {"ref": "vineetgupta2023/0-9696-ensemble-of-xgb-cat-lgbm-gbm", "kernel_id": "67194973"}, {"ref": "khangtran94vn/eda-loan-strategy", "kernel_id": "67084596"}, {"ref": "shohan06/deep-learning-loan-approval", "kernel_id": "67408996"}, {"ref": "aldomuozzecua/loan-approval-prediction-blended-with-cnn", "kernel_id": "67844807"}, {"ref": "shivammishra010ece24/loan-approval-prediction-first-try-with-outliers", "kernel_id": "67147752"}, {"ref": "shivammishra010ece24/loan-approval-prediction-catboost-variations", "kernel_id": "67522969"}, {"ref": "maxtiandi/ps4e10-openfe-stacking-boostings", "kernel_id": "67837682"}, {"ref": "msravanthi67/loanapprpre", "kernel_id": "67561723"}, {"ref": "itsabba3/loan-approval-95-ensemble-algorithms-mlp", "kernel_id": "67292066"}, {"ref": "imoysaputra/loan-approval-prediction", "kernel_id": "67088683"}, {"ref": "lakshaykahai/loan-approval-prediction", "kernel_id": "67253705"}, {"ref": "tprimetheog/loan-approval-prediction-via-logregress", "kernel_id": "67166953"}, {"ref": "amay12/loan-approval-prediction-blended-models", "kernel_id": "67168803"}, {"ref": "amay12/loan-approval-prediction-optuna", "kernel_id": "67161062"}, {"ref": "amay12/loan-approval-prediction-blended-with-cnn", "kernel_id": "67211763"}, {"ref": "amay12/loan-approval-prediction-stack", "kernel_id": "67282872"}, {"ref": "amay12/loan-approval-prediction-logistic-regression", "kernel_id": "67101995"}, {"ref": "amay12/loan-approval-prediction-knn", "kernel_id": "67116287"}, {"ref": "amay12/loan-approval-prediction-lightbgm", "kernel_id": "67118716"}, {"ref": "amay12/notebook8dcbc6bfcd", "kernel_id": "67117583"}, {"ref": "amay12/loan-approval-prediction-ensemble", "kernel_id": "67122736"}, {"ref": "amay12/loan-approval-prediction-ensemble-ann", "kernel_id": "67332173"}, {"ref": "oguzuzan/s4e10-loan-approval-prediction-lightautoml", "kernel_id": "67269638"}, {"ref": "c0mpl3xalpha/loan-approval", "kernel_id": "67323790"}, {"ref": "sujansupraj2000/loan-approval-prediction", "kernel_id": "67051683"}, {"ref": "ankitdata1/visualizing-loan-application-data", "kernel_id": "67227740"}, {"ref": "ankitdata1/comparing-classic-ml-algorithm-95-on-training", "kernel_id": "67228304"}, {"ref": "rianaazad/optimizing-loan-predictions-with-catboost", "kernel_id": "67000875"}, {"ref": "ahmedsamir1598/voting-lgb-xgb-cb-feature-engineering", "kernel_id": "67034063"}, {"ref": "hammadhab/loan-approval-playground-series", "kernel_id": "67871283"}, {"ref": "drathaliornus/notebook6e3c1fc7ab", "kernel_id": "67659119"}, {"ref": "srujanrkumar/loan-approval-prediction-model", "kernel_id": "67997240"}, {"ref": "shahbodsobhkhiz/loan-approval-catboost-eda-optuna", "kernel_id": "67376802"}, {"ref": "cartoonistbeard/eda-lgm-xgb-score-0-95319", "kernel_id": "67772627"}, {"ref": "cartoonistbeard/automlv3-score-0-96935", "kernel_id": "67324404"}, {"ref": "sarthakbehare/notebook6fb1044021", "kernel_id": "67382278"}, {"ref": "saimnasir/loan-approval-compitetion", "kernel_id": "67339544"}, {"ref": "godoistvan/neural-network-guide-with-eda", "kernel_id": "67993586"}, {"ref": "devaanshpuri/loan-approval-prediction", "kernel_id": "67198287"}, {"ref": "juhyunsuh/playgrounds4e10-random-forest", "kernel_id": "67022063"}, {"ref": "juhyunsuh/dimension-reduction-with-pca-and-t-sne", "kernel_id": "67571077"}, {"ref": "lebinhthanh/baseline-loan-prediction", "kernel_id": "67246071"}, {"ref": "ammanrizwan/loan-approval-prediction-notebook-xgboost", "kernel_id": "67032418"}, {"ref": "ashwinv47/loan-approval", "kernel_id": "67257424"}, {"ref": "marshalpatel3558/loan-approval-prediction", "kernel_id": "67130620"}, {"ref": "pavankumar4757/loan-approval-xgboost", "kernel_id": "67357197"}, {"ref": "psylas/psy-loan-approval-pred-xgboost-adaboost-0-95", "kernel_id": "67854144"}, {"ref": "emangope/lone-prediction", "kernel_id": "67213575"}, {"ref": "ngb0405/loan-approval-prediction", "kernel_id": "67881965"}, {"ref": "clemencetravers/s4-e10-neural-network", "kernel_id": "67685051"}, {"ref": "abhishek0032/data-science-toolkit-codes-skills-to-succeed", "kernel_id": "67223173"}, {"ref": "krishnayadav456wrsty/loan-approval-prediction-try-next-day", "kernel_id": "67396866"}, {"ref": "hamchicchi/loan-status-with-polars", "kernel_id": "67045470"}, {"ref": "mushei/loan-approval-prediction-code", "kernel_id": "67144668"}, {"ref": "mohiteaditya/loan-approval-with-kaggle-s-playground-series", "kernel_id": "67600359"}, {"ref": "rudenkobogdan/ps4e10-only-eda-with-seaborn-and-plotly", "kernel_id": "67837463"}, {"ref": "parkhyuniee/notebook5bf0260d77", "kernel_id": "67236965"}, {"ref": "parkhyuniee/loan-approval-2nd-version", "kernel_id": "67303353"}, {"ref": "aman2k5/simple-xgbclassifier-with-explanation", "kernel_id": "67384855"}, {"ref": "rickshen/s4e10-loan-approval-prediction-ann", "kernel_id": "67406383"}, {"ref": "abdelrahmanemad594/loan-approval-prediction", "kernel_id": "67059966"}, {"ref": "paperxd/best-pytorch-model-2-hidden-layers-simple", "kernel_id": "67697412"}, {"ref": "seifali432/loan-approval-v-easy-for-beginners-xgb-and-lgbm", "kernel_id": "67287506"}, {"ref": "zongaobian/ann-on-loan-approval-competition", "kernel_id": "67311846"}, {"ref": "rohanvidhate/loan-status-model-1-beginners", "kernel_id": "67845948"}, {"ref": "allansoaresduarte/s4-e10-loan-approval-prediction-ensemble", "kernel_id": "67740810"}, {"ref": "rishita00/loanprediction-using-nn", "kernel_id": "67210617"}, {"ref": "awaken007/approval-prediction-xgbc-v02-better", "kernel_id": "67116714"}, {"ref": "awaken007/using-ann-model-v01", "kernel_id": "67016419"}, {"ref": "awaken007/playing-with-cats-a-try-to-catboost", "kernel_id": "67037584"}, {"ref": "muhammadfaizanhassan/loan-approval-prediction-using-ann", "kernel_id": "67339778"}, {"ref": "jaonep/notebook413acebef0", "kernel_id": "67303374"}, {"ref": "jaonep/notebook345c05f046", "kernel_id": "67236991"}, {"ref": "sunhoejung/loan-prediction-project", "kernel_id": "67237028"}, {"ref": "wonny28/loan-predictions-project-w", "kernel_id": "67236985"}, {"ref": "wonny28/loan-predictions-2", "kernel_id": "67302989"}, {"ref": "wonny28/loan-predictions-3", "kernel_id": "67604799"}, {"ref": "hyunnymay/notebook4b225b9cf9-hyun-1014", "kernel_id": "67613632"}, {"ref": "hyunnymay/notebook4b225b9cf9", "kernel_id": "67236968"}, {"ref": "woongsu/loan-approval-prediction-ws", "kernel_id": "67236986"}, {"ref": "mishawerner/loan-approval-prediction-updated-and-error-solved", "kernel_id": "67341349"}, {"ref": "jangseoa/loan-prediction-project1", "kernel_id": "67237218"}, {"ref": "adaubas/pss4e10-logistic-of-gbms", "kernel_id": "68507841"}, {"ref": "raitest/eda-loan-working-or-not-ensemble", "kernel_id": "68569758"}, {"ref": "ricardorios/logistic-regression-and-regularization", "kernel_id": "68983525"}, {"ref": "bjoernholzhauer/ps-s04e10-perpetualbooster-single-fit", "kernel_id": "68359666"}, {"ref": "bjoernholzhauer/ps-s04e10-perpetualbooster-effect-of-budget", "kernel_id": "68360146"}, {"ref": "sidcodegg/starting-with-logistic-regression", "kernel_id": "68772862"}, {"ref": "sshadylov/smooth-fresh-intro-to-tabular-competitions-c", "kernel_id": "68789292"}, {"ref": "sshadylov/smooth-fresh-intro-to-tabular-competitions-ii", "kernel_id": "68893668"}, {"ref": "ashoksuthar/s4e10-loan-approval-prediction", "kernel_id": "68564262"}, {"ref": "puttaloo/eda-for-loan-prediction", "kernel_id": "68889888"}, {"ref": "triimam/loan-prediction-with-lightgbm-catboost-xboost", "kernel_id": "68476881"}, {"ref": "rvdrdx/0-97191-lazy-banker-s-friend-feature-importance", "kernel_id": "68190622"}, {"ref": "mcadriaans/loan-approval-prediction-xgboost-optuna", "kernel_id": "68009528"}, {"ref": "shanaka95/loan-approval-prediction-knn", "kernel_id": "68349828"}, {"ref": "alonzo31/loan-approval", "kernel_id": "68178378"}, {"ref": "sunshinesunshine/loan-approval-prediction-using-ann", "kernel_id": "68566981"}, {"ref": "sunshinesunshine/loan-approval-prediction-v1", "kernel_id": "68486941"}, {"ref": "mushroom111167/eda-and-result", "kernel_id": "68478455"}, {"ref": "debopamdas/loann", "kernel_id": "68166252"}, {"ref": "hopesb/loan-approval-prediction", "kernel_id": "68179346"}, {"ref": "mehedi615/xgbclassifier-95-89-beginner-guide", "kernel_id": "68682034"}, {"ref": "dangnguyen97/s4e10-four-model-blend-for-loan-predict", "kernel_id": "68148854"}, {"ref": "astelthottankara/loan-approval-using-logistic-regression", "kernel_id": "68660158"}, {"ref": "femionakunle/loan-approval-prediction", "kernel_id": "68756945"}, {"ref": "thomasmeiner/loan-approval-llama-for-automl-disappoints", "kernel_id": "68208954"}, {"ref": "teratai/first-notebook-2410loan", "kernel_id": "68159353"}, {"ref": "bhawyarajpanicker/cost-sensitive-vs-under-sampling-vs-over-sampling", "kernel_id": "68586609"}, {"ref": "josemcuesta/single-model-lgbm-96-837-optuna-opt-bayes", "kernel_id": "68572876"}, {"ref": "marcelobatalhah/loan-predict-using-preprocessor-catboost", "kernel_id": "68354095"}, {"ref": "matthewmaddock/ps-s4-e10-loan-approval-pred-model-selection", "kernel_id": "68472800"}, {"ref": "pedroaltobelli/insperdynamics-s4e10", "kernel_id": "68527757"}, {"ref": "shubham1111/why-did-the-bank-decline-my-loan", "kernel_id": "68254040"}, {"ref": "kwakubonsuwiredu/play-ground-loan-random-forest", "kernel_id": "68597042"}, {"ref": "maryiaznak/dt-based-models-for-imbalanced-classification", "kernel_id": "68433265"}, {"ref": "battle11king/loan-prediction", "kernel_id": "68792658"}, {"ref": "aruneshtiwari/stacked-model-pipeline-with-hyperparameter-tuning", "kernel_id": "68174194"}, {"ref": "ivan314sh/multilayer-perceptron-with-jax", "kernel_id": "68105255"}, {"ref": "suehuynh/kaggle-s4e10-light-automl-loan-prediction", "kernel_id": "68445221"}, {"ref": "drewyross/loan-approval-prediction-competition", "kernel_id": "68204545"}, {"ref": "rv1922/s4-e10-loan-status-prediction-lgbm-submission", "kernel_id": "68167569"}, {"ref": "rv1922/s4-e10-loan-approval-prediction-catboost-97", "kernel_id": "68571007"}, {"ref": "danish1987/loan-approval-pre", "kernel_id": "68575647"}, {"ref": "kitazawakeiichi/loan-approval-prediction-lgbm-labelencoder", "kernel_id": "68447582"}, {"ref": "vidhikishorwaghela/loan-approval-prediction-v2", "kernel_id": "68477470"}, {"ref": "vidhikishorwaghela/loan-approval-prediction-v1", "kernel_id": "68475448"}, {"ref": "mariusborel/my-boost-on-loan-approval", "kernel_id": "68852907"}, {"ref": "philipakomolafe/loan-competition", "kernel_id": "68564200"}, {"ref": "turabiyldrm/easy-catboost-tutorial-0-69-score-in-3-minutes", "kernel_id": "68832208"}, {"ref": "turabiyldrm/optuna-notebook-for-optimizing-xgboost", "kernel_id": "68684269"}, {"ref": "archismancoder/automl-loan-approval-pred2", "kernel_id": "68570287"}, {"ref": "bassetkerouche/loan-approval-use-nn-seqtoseq", "kernel_id": "68023145"}, {"ref": "ucas0v0zhuoqunli/4-10-optuna-lgbm-xgb-cat", "kernel_id": "68528508"}, {"ref": "jorjo2009/loan-approval-prediction", "kernel_id": "68187537"}, {"ref": "crisbebop/xgboost-optuna-example", "kernel_id": "68481848"}, {"ref": "cankszolu/loan-approval-prediction-lgbm-gridsearchcv", "kernel_id": "68477395"}, {"ref": "guilhermearr/notebook8565e73a38", "kernel_id": "68971192"}, {"ref": "sudeepfullel/ensembled-and-optuna", "kernel_id": "68172808"}, {"ref": "lorenzy/easy-eda-what-caused-loan-status", "kernel_id": "68842931"}, {"ref": "lorenzy/s4e10-furthereda-with-29-ml-models", "kernel_id": "68901338"}, {"ref": "lorenzy/s4e10-xgb-lgbm-extratree-randomclf-bagginclf", "kernel_id": "68909869"}, {"ref": "lorenzy/full-eda-beste-parameter-for-xgb-loan", "kernel_id": "68357802"}, {"ref": "omniaahmedmahmoud/loan-approval-prediction", "kernel_id": "68936100"}, {"ref": "trngnhntrna/0-96863-benginer-guild-catboost-optuna", "kernel_id": "68490638"}, {"ref": "patilaakash619/loan-approval-prediction-system-v1", "kernel_id": "68456238"}, {"ref": "ameerhassan22/loan-approval-prediction", "kernel_id": "68874761"}, {"ref": "palliplease/loan-prediction-using-basic-techniques", "kernel_id": "68911119"}, {"ref": "sukhmansaran/loan-approval-prediction-xgboost", "kernel_id": "68504805"}, {"ref": "sukhmansaran/loan-approval-prediction-random-forest", "kernel_id": "68504544"}, {"ref": "aasthameh/extensive-eda-of-categorical-data", "kernel_id": "68165599"}, {"ref": "bilalibrahimitu/loan-approval-prediction-score-0-96387", "kernel_id": "68347383"}, {"ref": "pacificrm/beginner-eda-woe-iv-ensemble-base-v1", "kernel_id": "68044032"}, {"ref": "borayongacoglu/lesson-on-decision-tree-classifiers", "kernel_id": "68430041"}, {"ref": "sarthakmohapatra8447/notebook0d758eb896", "kernel_id": "68046243"}, {"ref": "maimunulkjisan/0-95897-loan-status-catboost-and-shap", "kernel_id": "68401936"}, {"ref": "maimunulkjisan/loan-status-prediction-using-random-forest", "kernel_id": "68419037"}, {"ref": "hafizmuaz9595/loan-approval-prediction", "kernel_id": "68910012"}, {"ref": "aliabdelmenam/loan-approval-prediction", "kernel_id": "68423331"}, {"ref": "tariqbinbashar/loan-approval-prediction", "kernel_id": "68090189"}, {"ref": "danuherath/loan-approval-predict-binary-classification", "kernel_id": "68244626"}, {"ref": "melissaandreaciropea/trabajo-loan-approval-prediction", "kernel_id": "68117087"}, {"ref": "srgiomanhes/randomforest-xgboost", "kernel_id": "68768987"}, {"ref": "youknowjp/loan-approval-prediction", "kernel_id": "68971923"}, {"ref": "grandwizard/loan-approval-predition-with-random-forest", "kernel_id": "68432930"}, {"ref": "geraldwambui/big-loan-prediction-catboost-97", "kernel_id": "68506125"}, {"ref": "blotto417/predict-loan-with-xgboost", "kernel_id": "68607372"}, {"ref": "sulaniishara/ps4-e10-eda-loan-approval-prediction", "kernel_id": "68431603"}, {"ref": "niharykasingh/loan-approval-prediction-model", "kernel_id": "68139632"}, {"ref": "ilchurch/0-96256-catboost-random-forest-xgboost", "kernel_id": "68438276"}, {"ref": "yigitkaanduran/0-97249-loan-default-catboost-lgb", "kernel_id": "68583325"}, {"ref": "mueezuddin/loan-predection", "kernel_id": "68092313"}, {"ref": "ahmetkoseoglu/s4e10-loan-approval-prediction-lgbm", "kernel_id": "68812170"}, {"ref": "adarshsudheer/loan-competition", "kernel_id": "68918178"}, {"ref": "emirerselbilgic/loan-approval-prediction-random-forest-classifier", "kernel_id": "68432040"}, {"ref": "yorkyong/s4e10-loan-approval-prediction-lgbm-ensemble", "kernel_id": "68704808"}, {"ref": "yorkyong/s4e10-loan-approval-prediction-automl", "kernel_id": "68796360"}, {"ref": "muhammadwaleed5684/loan-approval-prediction", "kernel_id": "68424805"}, {"ref": "oksanaturii/loan-approval-prediction-turii", "kernel_id": "68508879"}, {"ref": "m1z2n3r4a5/loan-approval", "kernel_id": "68991297"}, {"ref": "djok161/loan-approval-eda-catboost-lgbm-optuna", "kernel_id": "68097773"}, {"ref": "rounak2528/loan-approval-prediction-by-rounak", "kernel_id": "68544716"}, {"ref": "hadibadami/loan-status-prediction", "kernel_id": "68499016"}, {"ref": "mateuszpiechowski/loan-approval", "kernel_id": "68094810"}, {"ref": "benjones19413/0-97268-ensemble-models-and-add-extra-data", "kernel_id": "68509267"}, {"ref": "sayanroy11/loan-prediction", "kernel_id": "68347462"}, {"ref": "shuvendupritam/robust-loan-approval-prediction-using-ml-and-dl", "kernel_id": "68005705"}, {"ref": "pranaykarvi/loanprediction-catboost-lightgbm-ensmble", "kernel_id": "68575167"}, {"ref": "godoistvan/how-to-use-ensemble-eda", "kernel_id": "68406053"}, {"ref": "xcalibur5678/loan-approval-prediction-using-xgboost", "kernel_id": "68175566"}, {"ref": "ismail703/ps4e10-loan-approval-prediction", "kernel_id": "68481734"}, {"ref": "banerjeetuhina/final-notebook", "kernel_id": "68897262"}, {"ref": "yusufenes/loan-approval-prediction-xgboost-lgbm-catboost", "kernel_id": "68028936"}, {"ref": "gokhanergul/loan-approval-pre-with-rapids-optuna", "kernel_id": "68507166"}, {"ref": "mdisrar/voting-classifier-for-loan-approvals-89-accuracy", "kernel_id": "68892033"}, {"ref": "jatayu000/jatayu000-loan-pred", "kernel_id": "68728946"}, {"ref": "jvrco22/loan-approval-prediction-catboost", "kernel_id": "68801527"}, {"ref": "mithra009/loan-approval-prediction-with-ensembling", "kernel_id": "68903572"}, {"ref": "rudenkobogdan/s4e10-ml-dl-models-weighted-averaging", "kernel_id": "68836910"}, {"ref": "miftahuladib/loan-approval-prediction-beginner-friendly", "kernel_id": "68339654"}, {"ref": "whitewolf18/loan-prediction", "kernel_id": "68129099"}, {"ref": "jahnavipaliwal/loan-approval-predition-catboost", "kernel_id": "68349349"}, {"ref": "aamirrazamari/loan-approve-predication-knn-algrithm", "kernel_id": "68729072"}, {"ref": "mianbilal12/loan-appproval-catboost", "kernel_id": "68407990"}, {"ref": "zongaobian/loan-approval-catboost-lightgbm-optuna", "kernel_id": "68037885"}, {"ref": "zongaobian/loan-approval-tutorial-on-xgboost", "kernel_id": "68610589"}, {"ref": "muhammadhamzanawaz/loan-approval-prediction", "kernel_id": "68549183"}, {"ref": "milagrosangulo/h2o-gbm-for-loan-status", "kernel_id": "68582149"}, {"ref": "gonids4545/hyperparamdtc", "kernel_id": "68635769"}, {"ref": "kandelgaurav5/loan-approval-prediction-submission", "kernel_id": "68528101"}, {"ref": "mariamabdelfattah76/loan-approval-prediction", "kernel_id": "68659104"}, {"ref": "rishita00/neural-networks-insights", "kernel_id": "68917073"}, {"ref": "achazngwouanzi/loanstatus", "kernel_id": "68489562"}, {"ref": "vickystutter/loan-approval-prediction", "kernel_id": "68021924"}, {"ref": "duruu841/loan-prediction", "kernel_id": "68272318"}, {"ref": "abevieiramota/loan-v1", "kernel_id": "69062919"}, {"ref": "jankuper192/p-r-edictions-off-loan-status-using-gams-and-sl", "kernel_id": "69260828"}, {"ref": "rgoodman/loan-approval-prediction", "kernel_id": "69167606"}, {"ref": "harshg97/catboost-lgbm-blending-with-optuna-lasso", "kernel_id": "69252279"}, {"ref": "vipulsonje/loan-approval-prediction", "kernel_id": "69107529"}, {"ref": "bjoernjostein/dmba-loan-approval-prediction", "kernel_id": "69154112"}, {"ref": "jurk06/loan-approval-model", "kernel_id": "69002084"}, {"ref": "harshavardhanbabu/code-from-llm", "kernel_id": "69005155"}, {"ref": "santhoshram158/san-final-loan-approval-prediction-model", "kernel_id": "69174385"}, {"ref": "ritikduttads/real-eda-with-96-accuracy-xgb", "kernel_id": "69486084"}, {"ref": "rubinr12/zg512-assignment-2-2023mb21335", "kernel_id": "69242121"}, {"ref": "mashallandme/random-forest-pipeline-hyperparameter-tuning", "kernel_id": "69355685"}, {"ref": "abdelrhmanashraf/loan-status-prediction", "kernel_id": "69256392"}, {"ref": "goduguanilhimam/loan-processing-submission", "kernel_id": "69166278"}, {"ref": "rahulcris07/loan-approval-best-tuned-lgbm-model-no-preprocess", "kernel_id": "69193536"}, {"ref": "arlle26/s4e10-lgb-xgb-cat-optuna-v3", "kernel_id": "69225492"}, {"ref": "danilocardoso/loan-approval-randomforest-xgboost", "kernel_id": "69593991"}, {"ref": "sujaymacwan/loan-approval-prediction", "kernel_id": "69447788"}, {"ref": "davinascimento/loan-approval-prediction", "kernel_id": "69438177"}, {"ref": "mos3santos/previs-o-de-aprova-o-de-empr-stimo", "kernel_id": "69841790"}, {"ref": "saumyagupta2025/loan-prediction-catboost-xgb-lightgbm-0-97", "kernel_id": "69014055"}, {"ref": "srsses/loan-approval-prediction", "kernel_id": "69053669"}, {"ref": "artempanush/s4e10-loan-approval-prediction-dilemma", "kernel_id": "69451142"}, {"ref": "adnananam/will-my-loan-get-approved", "kernel_id": "69109499"}, {"ref": "idiotprofessor/loan-approval-prediction", "kernel_id": "69400078"}, {"ref": "omidsakaki1370/loan-approval-prediction", "kernel_id": "69660173"}, {"ref": "hoon0303/boosting-synergy-six-model-blend-for-loan-ed6828", "kernel_id": "69164688"}, {"ref": "sulimanhussin/loan-approval-prediction-by-r", "kernel_id": "69019391"}, {"ref": "abhikdhar/loan-approval-prediction-xgboost-0-94384", "kernel_id": "69386133"}, {"ref": "sumukhhegde/loan-precition-competition", "kernel_id": "69427765"}, {"ref": "turabiyldrm/eda-and-feature-choosing-with-randomforest", "kernel_id": "69062789"}, {"ref": "saswatmeher290401/loan-approval-prediction", "kernel_id": "69667990"}, {"ref": "vinitpitrubhakta/loan-approval-prediction-using-automl-cat-ann", "kernel_id": "69052497"}, {"ref": "behzadgerami/nn-esemble-on-uptuna-basemodels-cat-xgb-lgb", "kernel_id": "69355549"}, {"ref": "nazimcherpanov/0-96298-loan-approval-prediction", "kernel_id": "69138773"}, {"ref": "endritmustafa/loanapprovalprediction", "kernel_id": "69450312"}, {"ref": "shivamkuite/loan-approval-prediction-v1", "kernel_id": "69158829"}, {"ref": "lorenzy/shap-for-best-parameters-from-xgb-clf", "kernel_id": "69062170"}, {"ref": "chem2023/notebookc4f9c1c0ac-loanprediction", "kernel_id": "69338370"}, {"ref": "mahboobbiswas/loan-approval-prediction-103", "kernel_id": "69450893"}, {"ref": "maimunulkjisan/spaceship-titanic-prediction-catboost", "kernel_id": "69425927"}, {"ref": "digamber03/loan-approval-predictio", "kernel_id": "69738905"}, {"ref": "aryapjoshi/99-96-accuracy-loan-approval-prediction", "kernel_id": "69423642"}, {"ref": "somendrew/loan-approval-prediction-0-953-auc-score", "kernel_id": "69302752"}, {"ref": "roqayyeh/loanapproval-cls-lgbm", "kernel_id": "69108391"}, {"ref": "roqayyeh/loanapproval-cls-cat-hyper-roc", "kernel_id": "69289171"}, {"ref": "parthsan/loan-approval-prediction", "kernel_id": "69483914"}, {"ref": "sulaniishara/ps4-e10-loan-approval-eda-ann", "kernel_id": "69214656"}, {"ref": "muhumuzadeusai/loan-approval-prediction", "kernel_id": "69431176"}, {"ref": "harsh221upadhyay/loan-approval-prediction-95-acc-for-xgboost", "kernel_id": "69421740"}, {"ref": "durdonaa/smooth-fresh-intro-to-tabular-competitions-ii", "kernel_id": "69006673"}, {"ref": "halfbloodhamed/0-95298-loan-approval-prediction", "kernel_id": "69430697"}, {"ref": "ahmedsamir1598/pes4-11-optimization-lgb-xgb-cb", "kernel_id": "69458824"}, {"ref": "dayabansagar/beginner-notebook-on-eda-and-different-ml-models", "kernel_id": "69434887"}, {"ref": "mubinsyedmuhammed/house-proce-kaggle", "kernel_id": "69148326"}, {"ref": "pixeldatascientist/loan-approval-prediction-with-xgboost", "kernel_id": "69108557"}, {"ref": "karahanos/loanapprovalcomp", "kernel_id": "69184458"}, {"ref": "acornfun/data-mining-assginment", "kernel_id": "69787215"}, {"ref": "kmalphamale/loan-approval-challenge-for-beginner", "kernel_id": "69252719"}, {"ref": "peymanarmaghan/s4e10-nn-fastai", "kernel_id": "69005186"}, {"ref": "peymanarmaghan/s4e10-catboost", "kernel_id": "69227876"}, {"ref": "fedorkaltiugin/loan-approval-prediction", "kernel_id": "69035237"}, {"ref": "heyitsgautham/0-97226-catboost-lgbm-with-optuna-lasso", "kernel_id": "69411348"}, {"ref": "aghashahzaibali/loan-approval-prediction-competition-team-kera", "kernel_id": "69046606"}, {"ref": "mithra009/loan-approval-prediction-catboost-96-accuracy", "kernel_id": "69167150"}, {"ref": "nafrasia/loan-approval-ml", "kernel_id": "69277052"}, {"ref": "iakhtar0/challenge-01-loan-approval-prediction", "kernel_id": "69245658"}, {"ref": "zongaobian/loan-approval-tutorial-on-ann", "kernel_id": "69006564"}, {"ref": "redim0/loan-predict", "kernel_id": "69592033"}, {"ref": "georgiyverenich/loan-prediction-competition-code", "kernel_id": "69453262"}, {"ref": "kennoel/loan-approval-prediction-complete-nb", "kernel_id": "69296186"}, {"ref": "nil2012/loan-approval-pred-with-optuna-xgb-cat-lgbm", "kernel_id": "69410198"}, {"ref": "semyondyshkant/loan-approval-prediction", "kernel_id": "69057698"}, {"ref": "bramwelagina/bramwel", "kernel_id": "69266394"}, {"ref": "sanaabba/using-xgboost-to-solve-loan-prediction-problem", "kernel_id": "69001547"}, {"ref": "justinsteve/loan-approval-predictions-part-2-improved-model", "kernel_id": "69254742"}, {"ref": "rihaanbh/loan-pred", "kernel_id": "69346874"}, {"ref": "jorgevilchezsandoval/proyecto-final", "kernel_id": "69432650"}, {"ref": "ameympatil1402/loan-approval-predictor", "kernel_id": "69221108"}, {"ref": "pahujajayati/notebook3b77c8387a", "kernel_id": "69422325"}, {"ref": "pahujajayati/notebook-final", "kernel_id": "69419544"}, {"ref": "marwaneladawi/loan-lr", "kernel_id": "69955314"}, {"ref": "ricardorios/bayesian-logistic-regression", "kernel_id": "70049113"}, {"ref": "rafanikitas/loan-approval-simple-eda-and-lgbm-model-training", "kernel_id": "70912283"}, {"ref": "akshaypatil11/loan-approval-prediction-95-accuracy", "kernel_id": "70605449"}, {"ref": "mushfiqulabedin/loan-approve-tryout", "kernel_id": "70420065"}, {"ref": "behzadgerami/functional-nn-ensemble-on-optune-models", "kernel_id": "70597217"}, {"ref": "mriscm/catboost-troubleshooting", "kernel_id": "70715771"}, {"ref": "akhil838/0-96345-loan-approval-catboost", "kernel_id": "70711298"}, {"ref": "acornfun/data-mining-final-submission", "kernel_id": "70387751"}, {"ref": "mukeshp8175/loan-defaulter-prediction", "kernel_id": "70649789"}, {"ref": "souri008/lgbmclassifier-with-best-parameters-using-optuna", "kernel_id": "70285547"}, {"ref": "jadeygao/loan-prediction-jadey", "kernel_id": "70389993"}, {"ref": "j2hoon85/baseline-model-with-scikit-learn-pipeline", "kernel_id": "71362496"}, {"ref": "rabianaz22/eda-loan-approval-prediction", "kernel_id": "71048186"}, {"ref": "merajhesh/loan-approval-prediction", "kernel_id": "71635112"}, {"ref": "stephanshepilov/credit-scoring", "kernel_id": "71552454"}, {"ref": "andytingzhiwei/loan-approval-prediction-xgboost", "kernel_id": "71218857"}, {"ref": "chaitalipathak/notebook21317e4ca6", "kernel_id": "71315202"}, {"ref": "dhiabach/loan-approval-prediction-rfc", "kernel_id": "71169054"}, {"ref": "jadeygao/fork-of-loan-prediction-jadey", "kernel_id": "71637940"}, {"ref": "skywolfmo/public-dl2-0-tabular-classification", "kernel_id": "72186026"}, {"ref": "khangnguyen2k1/loan-approval", "kernel_id": "72045677"}, {"ref": "sanskarbhalerao/loan-predicting-wyzant", "kernel_id": "72717355"}, {"ref": "sobiahashmi/loan-approval-predictions-random-forest", "kernel_id": "72118337"}, {"ref": "tranconghai/loan-approval-prediction", "kernel_id": "72311435"}, {"ref": "atharvcode/loan-status", "kernel_id": "72897078"}, {"ref": "jpankajk/loan-approval-prediction", "kernel_id": "72009932"}, {"ref": "vnguynhanh/loan-approval-simple-eda-and-lgbm-model-training", "kernel_id": "72345348"}, {"ref": "vnguynhanh/exploratory-data-analysis", "kernel_id": "72448243"}, {"ref": "rabianaz22/loan-approval-prediction", "kernel_id": "72160196"}, {"ref": "dendrolek/drift", "kernel_id": "72297609"}, {"ref": "shresthajeevan/loan-approval-prediction-classification", "kernel_id": "72218799"}, {"ref": "yousefkhalil0/loan-approval-prediction", "kernel_id": "72869339"}, {"ref": "xuewenyuan6662/loan-approval-using-lgbm", "kernel_id": "72795800"}, {"ref": "bitcoinftw/loan-approval-xgboostclassifier", "kernel_id": "73721660"}, {"ref": "vadimvilgurin/notebook5fcf969d79", "kernel_id": "73781967"}, {"ref": "manhtuan2989/loan-approval-using-xgb-catboost-nn-transformer", "kernel_id": "73357582"}, {"ref": "mosaadhendam/loan-prediction", "kernel_id": "73441982"}, {"ref": "alexeyorlovmipt/loanapprovalsolution", "kernel_id": "73033976"}, {"ref": "isaacchang2/loan-approval-95-87", "kernel_id": "73445887"}, {"ref": "borkenstonepaper/daikuan", "kernel_id": "73447022"}, {"ref": "fawadmughal/loan-approval-prediction", "kernel_id": "73287332"}, {"ref": "osr3173/loan-approval-prediction", "kernel_id": "73929293"}, {"ref": "lukalilic/projekat", "kernel_id": "73580332"}, {"ref": "onyxmoon/loan-approval-prediction-dl", "kernel_id": "74902521"}, {"ref": "youssefelzahar/loan-approval-catboost-and-lightboosting", "kernel_id": "74751413"}, {"ref": "b3bkarino/loan-approval-prede", "kernel_id": "74939702"}, {"ref": "rupakghanghas/notebookb0d9c58854", "kernel_id": "74676832"}, {"ref": "sumitvishvas/loan-approval-prediction", "kernel_id": "74804954"}, {"ref": "daniilnxy/loan-approval-prediction-from-eda-to-optuna", "kernel_id": "74821002"}, {"ref": "derricksteven/loan-approval-pred", "kernel_id": "74298351"}, {"ref": "polkad0t/notebook40d660cc57", "kernel_id": "74804992"}, {"ref": "akadir0223/loan-approval", "kernel_id": "74833778"}, {"ref": "bison777/loan-prediction", "kernel_id": "74042195"}, {"ref": "aamirrazamari/loan-predication", "kernel_id": "74275679"}, {"ref": "bxnxalex/loan-prediction", "kernel_id": "75026351"}, {"ref": "mariajosealmeyda/a-comparative-analysis-of-model-accuracy", "kernel_id": "75154642"}, {"ref": "zakariaelaoufi/loan-approval-prediction", "kernel_id": "75372214"}, {"ref": "hadirizwan/loan-approval-prediction-eda-model-build", "kernel_id": "75023872"}, {"ref": "ldausl/note-2-lama", "kernel_id": "75343457"}, {"ref": "ldausl/notebook-iris-researcher-by-muhammad-firdaus", "kernel_id": "75232574"}, {"ref": "ldausl/loan-0-97269-lama", "kernel_id": "75166054"}, {"ref": "ldausl/ps-s4-ep10-eda-submission-modeling", "kernel_id": "75166016"}, {"ref": "ldausl/loan-0-95909-cepat", "kernel_id": "75164965"}, {"ref": "ldausl/loan-approval-ensemble-nn-xgb-lgbm-cat", "kernel_id": "75164989"}, {"ref": "baddu01/loan-approval", "kernel_id": "75178837"}, {"ref": "sowred/95-accuracy-loan-prediction", "kernel_id": "75907928"}, {"ref": "indranil98/preprocessing-notebok-mlp-bootcamp", "kernel_id": "76667200"}, {"ref": "kartikaytandon/loan-approval-project", "kernel_id": "76444947"}, {"ref": "reetinder/lgbm-catboost-kfold", "kernel_id": "76243807"}, {"ref": "rayanebouftini/notebook8962069b68", "kernel_id": "76322763"}, {"ref": "cgyputra/loan-approval-prediction", "kernel_id": "76249143"}, {"ref": "docxian/ps-s5-e03-it-s-raining-again", "kernel_id": "77884147"}, {"ref": "swas06/loanclassification", "kernel_id": "77406494"}, {"ref": "chitrakshsingh/loan-approval-ml", "kernel_id": "77242986"}, {"ref": "pituchaimitpakdee/analysis-for-model-approval-loan", "kernel_id": "77478194"}, {"ref": "akshatsharma0610/loan-prediction-using-ann", "kernel_id": "77733022"}, {"ref": "huynhdoanhoangminh/loan-approval-predcition", "kernel_id": "77633336"}, {"ref": "shambhavishanker99/loan-approval", "kernel_id": "77952594"}, {"ref": "dagopp/loan-prediction-comp", "kernel_id": "78177843"}, {"ref": "teeefarnee/ps-s4-ep10-eda-submission-modeling", "kernel_id": "78572597"}, {"ref": "serttyzar/loan-approval-predcition", "kernel_id": "78510998"}, {"ref": "kerlosmelad/loan-predication-ann", "kernel_id": "78241362"}, {"ref": "faheemhere/loan-notebook", "kernel_id": "78385348"}, {"ref": "prasadnayak9/loan-approval-prediction", "kernel_id": "78185895"}, {"ref": "marijuanabbi/loan-approval-prediction", "kernel_id": "78803313"}, {"ref": "rendyk/loan-approval", "kernel_id": "79611529"}, {"ref": "stubhlal/recommender-test", "kernel_id": "79143459"}, {"ref": "chugra/loan-approval-prediction-cpe232-data-models", "kernel_id": "79168610"}, {"ref": "mesutbagl/loan-approval-prediction", "kernel_id": "79287486"}, {"ref": "andrewkondratev/nn-loan-approval-prediction", "kernel_id": "79583543"}, {"ref": "asmaaqandeel/gpu-data-prepare", "kernel_id": "80580020"}, {"ref": "nuraziz/loan-approval-prediction", "kernel_id": "80722517"}, {"ref": "penbenur/loan-approval-prediction", "kernel_id": "80242227"}, {"ref": "tomilovivan/cupu-model", "kernel_id": "81970905"}, {"ref": "ugurcan95/loan-prediction", "kernel_id": "81365860"}, {"ref": "ghowe2ai/gh-loan-approval-prediction", "kernel_id": "81551441"}, {"ref": "yunbeomlee/loan-approval-prediction", "kernel_id": "82889743"}, {"ref": "ulyanar/loan-approval-prediction-spbu-solution", "kernel_id": "83874621"}, {"ref": "lesyakuralesya/my-solution1", "kernel_id": "84056472"}, {"ref": "sonilnegi/loan-approval-prediction-with-catboost", "kernel_id": "85819692"}, {"ref": "trongkhang/loan-approval-prediction", "kernel_id": "85604592"}, {"ref": "aniketmuthal/loan-approval-prediction", "kernel_id": "86703138"}, {"ref": "olaelshiekh/loan-approval-eda", "kernel_id": "87201673"}, {"ref": "thuandao/loan-approval-eda-ml", "kernel_id": "87798545"}, {"ref": "mehmetuurkuru/loan-approval-prediction-competetion", "kernel_id": "87354014"}, {"ref": "dennisechico/notebookbabf7c2236", "kernel_id": "87249936"}, {"ref": "andreadelacruz14/prestamo-examen", "kernel_id": "87249981"}, {"ref": "docxian/ps-s5-e08-bank-data-binary-classification", "kernel_id": "88371263"}, {"ref": "vedanshtyagi2451/lgbm-catboost-kfold", "kernel_id": "88379607"}, {"ref": "mazenabokersha/loan-approval-predictions-4", "kernel_id": "88921407"}, {"ref": "ouzhanakr/late-submission-ps-s4e10", "kernel_id": "89942479"}, {"ref": "muhammadjamshaidkhan/loan-approval-prediction", "kernel_id": "91471807"}, {"ref": "nayanspatil/loan-approval-prediction", "kernel_id": "91229062"}, {"ref": "santosh1974/loan-appr-pred-eda-feature-eng-guide", "kernel_id": "92511966"}, {"ref": "arvapallimanikanta/loan-approval", "kernel_id": "94705760"}, {"ref": "chrangaswamyreddy/loan-approval", "kernel_id": "94795311"}, {"ref": "samhitardy2801/loan-approval-ml", "kernel_id": "94479818"}, {"ref": "nikithareddy14/loan-approval-classification-ml-prjt", "kernel_id": "94406267"}, {"ref": "kesarjain31/loan-approval", "kernel_id": "94875042"}, {"ref": "nina2025/ps-s4e10-h-blend", "kernel_id": "95776134"}, {"ref": "premsharanpatel/loan-approval-prediction", "kernel_id": "95046501"}, {"ref": "emangope/loan-prediction", "kernel_id": "96077750"}, {"ref": "kiranpal18/notebook4282a67b5d", "kernel_id": "97400253"}, {"ref": "abhishekawasthi151/notebook43120e98f8", "kernel_id": "98484422"}, {"ref": "docxian/ps-s5-e12-diabetes-prediction-autogluon", "kernel_id": "103476373"}, {"ref": "harrisonjmccarthy/analysis-and-insight", "kernel_id": "104765300"}, {"ref": "orionaraf/loan-prediction-for-playground", "kernel_id": "105060798"}, {"ref": "rahulbana/loan-approval-prediction-eda-modeling", "kernel_id": "106026002"}, {"ref": "xian98692/notebook3", "kernel_id": "106032660"}, {"ref": "poojadudhanikar/loan-approval-prediction", "kernel_id": "106967308"}, {"ref": "jolantafower1988/loan-approval-prediction", "kernel_id": "107252599"}, {"ref": "groundtoup/maxiwell", "kernel_id": "107934138"}, {"ref": "edenlydamy/loan-approval-prediction-eden", "kernel_id": "109484212"}, {"ref": "michelchampagnat/notebook9f1b2a9bf5", "kernel_id": "109379886"}, {"ref": "monikasaroj23/from-raw-loan-data-model-ready-features-xgboost", "kernel_id": "110138524"}, {"ref": "socnhi/loan-approval-prediction", "kernel_id": "115925038"}, {"ref": "rohidshakoorzada/lap-v1", "kernel_id": "119213755"}, {"ref": "thuylinhhhhhhh/lightgm-loan-approval", "kernel_id": "120407039"}, {"ref": "mhskaya/loan-approval-prediction", "kernel_id": "122895420"}, {"ref": "zqx960151285/loan-approval-prediction", "kernel_id": "129590791"}, {"ref": "aarishar321/loan-approval-prediction", "kernel_id": "129474779"}]}
{"competition_id": "84895", "kernels": [{"ref": "guilhermepoliveira/ensemble-weights", "kernel_id": "66785120"}, {"ref": "wguesdon/starter-eda-modeling-template-notebook", "kernel_id": "67043680"}, {"ref": "jankuper192/dep-r-ession", "kernel_id": "69566363"}, {"ref": "davidalvarezpons/ps-s4e11-predicting-depression", "kernel_id": "69820395"}, {"ref": "mayukh18/feature-eng-cv-voting-xgb-catb-lgb", "kernel_id": "69800405"}, {"ref": "cdthinh/eda-modeling-majorvoting-0-94195", "kernel_id": "69571123"}, {"ref": "cdthinh/lightgbm-quick-easy-implementation", "kernel_id": "69572116"}, {"ref": "arpitagupta16/mental-health-data-eda-and-modelling-0-94163", "kernel_id": "69509353"}, {"ref": "arpitagupta16/ann-for-mental-health", "kernel_id": "69713620"}, {"ref": "bjoernholzhauer/ps-s04e11-catboost-how-much-original", "kernel_id": "69687995"}, {"ref": "bjoernholzhauer/ps-s04e11-exploratory-analysis-benchmark-model", "kernel_id": "69459629"}, {"ref": "narsil/knai-2024-11-04-depression-prediction", "kernel_id": "69760680"}, {"ref": "cv13j0/exploring-mental-health-data", "kernel_id": "69600799"}, {"ref": "optimistix/pss4e11-autogluon-starter-0-94269", "kernel_id": "69469032"}, {"ref": "rgoodman/mental-health-detail-eda-fe-models", "kernel_id": "69863881"}, {"ref": "manojajj/data-eda-lr-simple-submission", "kernel_id": "69938317"}, {"ref": "docxian/ps-s4-e11-mental-health-classification", "kernel_id": "69520366"}, {"ref": "sakarilukkarinen/mental-health-simple-dnn-starter", "kernel_id": "69949257"}, {"ref": "cjrockball/mental-health-basic-lgbm", "kernel_id": "69625262"}, {"ref": "cjrockball/mental-health-basic-5-fold-cv", "kernel_id": "69487092"}, {"ref": "oscarm524/ps-s4-ep11-eda-modeling-submission", "kernel_id": "69465248"}, {"ref": "sunixliu/fast-baseline-with-pycaret-0-93-1st-submission", "kernel_id": "69492808"}, {"ref": "mgranada/s04-e-11-workers-and-students-study-polars", "kernel_id": "69493561"}, {"ref": "stpeteishii/mental-health-histplot", "kernel_id": "69503520"}, {"ref": "stpeteishii/mental-health-visualize-importance", "kernel_id": "69507796"}, {"ref": "stpeteishii/mental-health-lgbm-w-optuna", "kernel_id": "69514231"}, {"ref": "annastasy/mental-health-eda-ensemble", "kernel_id": "69607565"}, {"ref": "ahsuna123/mental-health-depression-classification", "kernel_id": "69548845"}, {"ref": "mmellinger66/ps4e11-mental-health-models", "kernel_id": "69524245"}, {"ref": "mpwolke/feeling-the-blues-kagglers", "kernel_id": "69459025"}, {"ref": "arintel/mental-fitting", "kernel_id": "69935148"}, {"ref": "wguesdon/predicting-depression-with-llm-and-automl", "kernel_id": "69532537"}, {"ref": "sunshinesunshine/mental-health-catboost-classifier-with-original", "kernel_id": "69817951"}, {"ref": "catadanna/cours-python-2", "kernel_id": "69768672"}, {"ref": "santusrk/xgb-optuna", "kernel_id": "69516369"}, {"ref": "devsubhash/prediction-using-xgboost-mental-health-eda", "kernel_id": "69937424"}, {"ref": "nickfecondo/don-t-worry-be-happy", "kernel_id": "69602795"}, {"ref": "ganeshstemx/ps-s4e11-mental-health-dataset", "kernel_id": "69591746"}, {"ref": "sanjayfuloria1/exploring-mental-health-data", "kernel_id": "69491792"}, {"ref": "yeonseokcho/mental-health-data-neural-network-w-cv", "kernel_id": "69621364"}, {"ref": "wanakon/mental-health-data-lightgbm-optuna", "kernel_id": "69603573"}, {"ref": "hopesb/mental-health", "kernel_id": "69782639"}, {"ref": "dkuznetsov/feature-engineering-test-submission", "kernel_id": "69677340"}, {"ref": "thiagomantuani/ps4e11-mental-health-data-embedding", "kernel_id": "69769447"}, {"ref": "tracyporter/play-4-11-eda-extra-trees", "kernel_id": "69517485"}, {"ref": "tracyporter/play-4-11-eda-log-reg", "kernel_id": "69490738"}, {"ref": "arlle26/s4e11-simple-xgboost-optuna-0-94227", "kernel_id": "69915578"}, {"ref": "danilocardoso/eda-exploring-mental-health-data", "kernel_id": "69912676"}, {"ref": "ikramur/predict-depression-xgboost-optuna", "kernel_id": "69510382"}, {"ref": "mohammedragabsaad/mental-health-basic-submission-94", "kernel_id": "69852043"}, {"ref": "thomasmeiner/mental-health-eda-overview", "kernel_id": "69491901"}, {"ref": "thomasmeiner/mental-health-automl-baseline", "kernel_id": "69483912"}, {"ref": "thomasmeiner/mental-health-llm-solution-benchmark", "kernel_id": "69483031"}, {"ref": "thomasmeiner/mental-health-new-llm-solution-without-tuning", "kernel_id": "69550692"}, {"ref": "thomasmeiner/mental-health-does-oversampling-work", "kernel_id": "69987775"}, {"ref": "elyoussfiazeddine/mental-health-0-936", "kernel_id": "69514772"}, {"ref": "mirzamilanfarabi/mental-health-starter-v1-0", "kernel_id": "69463527"}, {"ref": "cyrilbourgeois/s4-e11-classif-meantal-health-baseline", "kernel_id": "69486612"}, {"ref": "carlmalina/exploring-mental-health-eda-optuna-ensemble", "kernel_id": "69770946"}, {"ref": "immolator/pss4e11-xgboost-classifier", "kernel_id": "69754787"}, {"ref": "jimgruman/ask-your-doctor-for-rexulti", "kernel_id": "69461227"}, {"ref": "vladimirmijatovic/mental-health-lgbm-eda-modeling-baseline", "kernel_id": "69506646"}, {"ref": "vladimirmijatovic/mental-health-xgboost-baseline", "kernel_id": "69516456"}, {"ref": "valentinemwai/mental-health-eda-lightgbm-catboost-very-easy-way", "kernel_id": "69496460"}, {"ref": "franciscavillablanca/exploring-mental-health-data-competition", "kernel_id": "69846435"}, {"ref": "egemenuurdalg/lgbm-ensembles-0-93", "kernel_id": "69922601"}, {"ref": "aerospacer/november-kaggle-swag-deneme-1", "kernel_id": "69756439"}, {"ref": "richa1singh/mental-health-data-xgboost", "kernel_id": "69651001"}, {"ref": "richa1singh/notebook40df607f74", "kernel_id": "69576475"}, {"ref": "martynovandrey/eda-cv-db-select-dataset", "kernel_id": "69459539"}, {"ref": "piyushjoshi01/s4e11-mental-health", "kernel_id": "69702255"}, {"ref": "jiprud/s4e11-mental-health", "kernel_id": "69955450"}, {"ref": "barbagrande007/bbg007-mentalhealth-neuralnet", "kernel_id": "69519731"}, {"ref": "anantpandey29/unraveling-mental-health-insights", "kernel_id": "69898841"}, {"ref": "hosseinbehjat/pss4e11-eda-ensemble-tree-based-models", "kernel_id": "69996978"}, {"ref": "jvachier/mental-health-stacking-classifier", "kernel_id": "69568247"}, {"ref": "hoon0303/exploring-mental-health-data-autogluon-notebook", "kernel_id": "69466216"}, {"ref": "ravi20076/playgrounds4e11-baseline-v1", "kernel_id": "69463198"}, {"ref": "ravi20076/playgrounds4e11-imports-v1", "kernel_id": "69447833"}, {"ref": "ashioyajotham/playground-series-mental-health", "kernel_id": "69756724"}, {"ref": "klyushnik/exploring-mental-health-data-ensembling", "kernel_id": "69598348"}, {"ref": "chitrakshsingh/s04-e11-eda", "kernel_id": "69523773"}, {"ref": "hudasaleh1/mental-health-depression-prediction", "kernel_id": "69655214"}, {"ref": "rubanzasilva/eda-gradient-boosting-neural-nets-s04e11", "kernel_id": "69460744"}, {"ref": "nitishkumar03382/mental-health-eda", "kernel_id": "69593178"}, {"ref": "mariusborel/let-s-classify-lgbm-catboost", "kernel_id": "69514790"}, {"ref": "mariusborel/am-i-depressed-lb-0-94216", "kernel_id": "69787481"}, {"ref": "mariusborel/exploring-mental-health-eda", "kernel_id": "69460545"}, {"ref": "mariusborel/depressed-or-not-let-s-vote", "kernel_id": "69965423"}, {"ref": "samvelkoch/s4e11-eda-interactions-pdp-anomalies", "kernel_id": "69491209"}, {"ref": "jerometam/votingregressor-xgb-catboost-lgbm", "kernel_id": "69521382"}, {"ref": "priyanshu594/eda-exploring-mental-health", "kernel_id": "69487674"}, {"ref": "kalpeshbhoir/mental-health-classification", "kernel_id": "69470057"}, {"ref": "yubraj11/emh-catboost-w-original-data-0-94227", "kernel_id": "69923736"}, {"ref": "shivamardeshna/predicting-depression-a-catboost-approach-to-ment", "kernel_id": "69843421"}, {"ref": "indranil98/mlp-bootcamp-indranil", "kernel_id": "69839752"}, {"ref": "bhaveshg20/mental-health-eda-model", "kernel_id": "69497450"}, {"ref": "zahraabareq/mental-health-data-catboost", "kernel_id": "69876988"}, {"ref": "javohirtoshqorgonov/mental-health-eda-catcoost-lgbm", "kernel_id": "69519102"}, {"ref": "toddgardiner/s4e11-eda-visuals", "kernel_id": "69489575"}, {"ref": "masayakawamata/ensemble-vs-stacking-optuna", "kernel_id": "69967561"}, {"ref": "masayakawamata/ensemble-vs-stacking-xgboost-lightgbm-catboost", "kernel_id": "69963647"}, {"ref": "a3amat02/base-lightgbm", "kernel_id": "69507719"}, {"ref": "lorrainmorlet/mental-health-catboost", "kernel_id": "69578759"}, {"ref": "arshmankhalid/ensemble-modeling-xgboost-catboost-lgbm", "kernel_id": "69538059"}, {"ref": "francescoliveras/ps-s4-e11-eda-model-en-es", "kernel_id": "69719602"}, {"ref": "turabiyldrm/eda-fe-notebook-for-ps-s4-e11-v0", "kernel_id": "69570854"}, {"ref": "bassetkerouche/exploring-mental-health-eda-29-different-models", "kernel_id": "69534429"}, {"ref": "nikola6453/depression-status-prediction-accuracy-0-94093", "kernel_id": "69556992"}, {"ref": "mathewshuvarikov/lightautoml-exploring-mental-health-data", "kernel_id": "69507959"}, {"ref": "pranjali1121/mental-health-data", "kernel_id": "69958139"}, {"ref": "nikhil029/s4e11-exploring-mental-health-data", "kernel_id": "69798850"}, {"ref": "adityayadav01/exploring-mental-health", "kernel_id": "69493839"}, {"ref": "nazimcherpanov/soon-datamind-games-starter", "kernel_id": "69737215"}, {"ref": "priyansh2003/funniest-notebook-lmao", "kernel_id": "69522324"}, {"ref": "natchaphonkamhaeng/pg-s4-e11-binary-mental-health", "kernel_id": "69509557"}, {"ref": "pshikk/autogluon-s4e11-train", "kernel_id": "69526461"}, {"ref": "pshikk/autogluon-s4-e11-inference", "kernel_id": "69932215"}, {"ref": "vaanshthakur/playground-s4e11-mental-health", "kernel_id": "69553874"}, {"ref": "teranekerimova/depression-cleaning-eda", "kernel_id": "69576036"}, {"ref": "omarzaouel/depression-hyperparam-search-xgb-lgb-cat-ensemble", "kernel_id": "69955547"}, {"ref": "nabinoli2004/mental-health-data", "kernel_id": "69924665"}, {"ref": "atharva0577/mental-health-data-eda-baseline", "kernel_id": "69463068"}, {"ref": "backpaker/mental-health-starter", "kernel_id": "69458887"}, {"ref": "syednazmussakib/automl-h2o-baseline", "kernel_id": "69460773"}, {"ref": "vishnupriyagarige/mental-health-classification", "kernel_id": "69515262"}, {"ref": "gyogyocat/4-11-cat-xg-gbm-unsem", "kernel_id": "69470480"}, {"ref": "akshatsharma0610/prediction-for-mental-health-dataset", "kernel_id": "69790182"}, {"ref": "anmatngu/mljar-automl-magic-mental-health-prediction", "kernel_id": "69479072"}, {"ref": "anmatngu/94-189-acc-automl-mental-health-prediction", "kernel_id": "69634600"}, {"ref": "chaitybarua/mental-health-data-ct", "kernel_id": "69901126"}, {"ref": "pranaydeepkorada/mental-health-random-forest", "kernel_id": "69852882"}, {"ref": "itasps/0-94397-autogluon-model-depression-health-data", "kernel_id": "69746734"}, {"ref": "serhiikravtsov/understanding-mental-health", "kernel_id": "69597184"}, {"ref": "serhiikravtsov/depression-detection-baseline", "kernel_id": "69613699"}, {"ref": "parthdande/mental-health-data-exploration", "kernel_id": "69752033"}, {"ref": "snehalkhandewale/mental-health-check-cleaning-base-model", "kernel_id": "69487739"}, {"ref": "snehalkhandewale/to-be-or-not-to-be-experimentation", "kernel_id": "69641488"}, {"ref": "darkdevil18/0-94333-are-you-depressed-no-fe", "kernel_id": "69487726"}, {"ref": "kamal2026/beginner-work", "kernel_id": "69802584"}, {"ref": "arunklenin/ps4e11-mental-health-prediction-classification", "kernel_id": "69478046"}, {"ref": "samanfatima7/mindmap-predicting-mental-health", "kernel_id": "69917678"}, {"ref": "ayucha/s4e11-exploring-mental-health-data", "kernel_id": "69645949"}, {"ref": "richardhhong/data-analysis-template-with-mental-health", "kernel_id": "69859195"}, {"ref": "kaop11/mentalhealth-eda-xgboost", "kernel_id": "69633044"}, {"ref": "manuiaccarino/synthetic-vs-real-data-attempt-to-cheat", "kernel_id": "69672327"}, {"ref": "fredericnicholson/depression-hotline-autogluon", "kernel_id": "69511758"}, {"ref": "alessiosclafani/mental-health-matters", "kernel_id": "69734757"}, {"ref": "maimunulkjisan/kaggle-s4-e11-mental-health-data-score-94-136", "kernel_id": "69594923"}, {"ref": "dheliu/emh-catboost-autogluon-with-gpu", "kernel_id": "69899666"}, {"ref": "armanzhalgasbayev/ps-s4-e11-92-acc-optuna-catboost-mhde", "kernel_id": "69522401"}, {"ref": "amri11/mental-health-predict", "kernel_id": "69468271"}, {"ref": "amri11/mental-health-keras", "kernel_id": "69885352"}, {"ref": "dineshkottakota/mental-health-random-forest", "kernel_id": "69848521"}, {"ref": "introverstein/ps-s4-ep11-adversarial-validation", "kernel_id": "69466962"}, {"ref": "sczhuoffical/s-c-zhu-water-method-mh", "kernel_id": "69659923"}, {"ref": "sczhuoffical/s-c-zhu-advanced-automl-mh", "kernel_id": "69660292"}, {"ref": "sczhuoffical/s-c-zhu-knn-faml-method-mh", "kernel_id": "69787673"}, {"ref": "sczhuoffical/s-c-zhu-lightautoml-denselight-method-mh", "kernel_id": "69821520"}, {"ref": "sczhuoffical/s-c-zhu-faml-method-mh", "kernel_id": "69459631"}, {"ref": "hill112/mentalhealthnotebook", "kernel_id": "69621665"}, {"ref": "ravaghi/s04e11-mental-health-prediction-ensemble", "kernel_id": "69929850"}, {"ref": "shraddhatripathi1906/depression-prediction", "kernel_id": "69632546"}, {"ref": "ghulamhiader/data-preprocessing", "kernel_id": "69855621"}, {"ref": "kingkcabir/mental-health", "kernel_id": "69679744"}, {"ref": "anthonytherrien/clean-starter-exploring-mental-health", "kernel_id": "69535633"}, {"ref": "somendrew/eda-simple-starter-mental-health", "kernel_id": "69743083"}, {"ref": "roqayyeh/eda-exploringmentalhealth", "kernel_id": "69596926"}, {"ref": "abdmental01/mental-health-catboost-edited", "kernel_id": "69525986"}, {"ref": "abdmental01/emh-multi-model", "kernel_id": "69600364"}, {"ref": "grandwizard/mentalhealth-with-catboost", "kernel_id": "69522182"}, {"ref": "venky9991/mental-health-eda", "kernel_id": "69915232"}, {"ref": "sulaniishara/ps4e11-predicting-depression-xgb-lgb-catb", "kernel_id": "69657939"}, {"ref": "sulaniishara/mental-health-insights-a-data-exploration", "kernel_id": "69476024"}, {"ref": "igorvolianiuk/mental-health-catboost-first-place", "kernel_id": "69481377"}, {"ref": "igorvolianiuk/mental-health-eda-modeling-shap", "kernel_id": "69548771"}, {"ref": "khangtran94vn/mental-health-prediction", "kernel_id": "69790418"}, {"ref": "mehakiftikhar/ps4e11-mental-health-data-catboost", "kernel_id": "69552268"}, {"ref": "michael1o2/mental-health", "kernel_id": "69747917"}, {"ref": "koshijain/mental-heath-xgb", "kernel_id": "69496072"}, {"ref": "abdullah0a/depression-prediction-with-ml", "kernel_id": "69657933"}, {"ref": "adarshsudheer/depression-survey", "kernel_id": "69662087"}, {"ref": "adyiemaz/this-code-fixed-my-depression", "kernel_id": "69594386"}, {"ref": "ssyyhh/eda-of-mental-health-prediction-of-depression", "kernel_id": "69746886"}, {"ref": "sunnyvarnawal/mental-health", "kernel_id": "69561030"}, {"ref": "dheerajcl/mental-health-autogluon", "kernel_id": "69489690"}, {"ref": "ikrameboubaker/lstm-model-0-94061-v3", "kernel_id": "69935440"}, {"ref": "yteshima/ps4s11-eda-gbdt", "kernel_id": "69549354"}, {"ref": "yorkyong/s4e11-depression-prediction-ensemble", "kernel_id": "69697610"}, {"ref": "neeraj8180/random-forest-randomsearchcv-mental-health-data", "kernel_id": "69512260"}, {"ref": "byteliberator/trying-to-win-over-depression-with-xgb", "kernel_id": "69902257"}, {"ref": "kimhoogenboom/very-mindful-very-demure", "kernel_id": "69596230"}, {"ref": "oskarprusinowski/exploring-mental-health-data-get-started", "kernel_id": "69526017"}, {"ref": "hemanthhvv/depression-eda", "kernel_id": "69850278"}, {"ref": "leanaz/pgs4e11-data-cleaning-r", "kernel_id": "69721423"}, {"ref": "leanaz/pgs4e11-eda-basic-data-cleaning-in-r", "kernel_id": "69462917"}, {"ref": "iwways/mentalhealth", "kernel_id": "69931429"}, {"ref": "evertonpm/eda-catboost-0-94270", "kernel_id": "69535202"}, {"ref": "ahmedsamir1598/pes4-11-optimization-lgb-xgb-cb", "kernel_id": "69458824"}, {"ref": "ahmedsamir1598/pes4-11-eda-lgb-xgb-cb-ensemble", "kernel_id": "69459484"}, {"ref": "ahmedsamir1598/pes4-11-the-return-of-the-stacking-classifier", "kernel_id": "69501825"}, {"ref": "waheedhussain2/mental-health-eda-nn-boostings-94", "kernel_id": "69944733"}, {"ref": "foysal1/depression-eda-xgb-lgb-catb-accuracy-93-21", "kernel_id": "69845095"}, {"ref": "zjzhao1002/mental-health-xgboost-optuna", "kernel_id": "69469405"}, {"ref": "zjzhao1002/mental-health-xgb-lgbm-cb-ensemble", "kernel_id": "69620958"}, {"ref": "zjzhao1002/mental-health-catboost-optuna", "kernel_id": "69561049"}, {"ref": "zjzhao1002/mental-health-lgbm-optuna", "kernel_id": "69556314"}, {"ref": "cartoonistbeard/eda-cleaning-the-data", "kernel_id": "69546260"}, {"ref": "godoistvan/eda-catboost-with-optuna", "kernel_id": "69584898"}, {"ref": "godoistvan/understanding-the-data", "kernel_id": "69523853"}, {"ref": "godoistvan/detailed-data-analysis", "kernel_id": "69524230"}, {"ref": "devaanshpuri/predicting-depression-simple", "kernel_id": "69731536"}, {"ref": "fedorkaltiugin/exploring-mental-health", "kernel_id": "69822046"}, {"ref": "sameerk2004/mental-health-prediction-accuracy-93-917", "kernel_id": "69518505"}, {"ref": "anirudhch0304/eda-depression-is-no-more", "kernel_id": "69765290"}, {"ref": "akhilsakthieswaran/exploring-mental-health-eda", "kernel_id": "69509953"}, {"ref": "emangope/mental-health", "kernel_id": "69477538"}, {"ref": "gokhanergul/comp-with-or-without-null-values-for-depression", "kernel_id": "69652252"}, {"ref": "gokhanergul/ensemble-methods-mental-health-data", "kernel_id": "69939798"}, {"ref": "trietp1253201581/exploring-mental-health-data-s4e11", "kernel_id": "69470062"}, {"ref": "kaikai557/only-catboost-optuna", "kernel_id": "69991665"}, {"ref": "jvrco22/mental-health-random-forest-eda", "kernel_id": "69526538"}, {"ref": "hamchicchi/mental-health-data-exploration-with-polars", "kernel_id": "69550099"}, {"ref": "archwaq/exploring-patterns-in-mental-health-for-depression", "kernel_id": "69644284"}, {"ref": "mithra009/eda-catboost-optuna", "kernel_id": "69760281"}, {"ref": "rudenkobogdan/s4e11-eda-gpu-pytorch-nn-val-0-935", "kernel_id": "69487662"}, {"ref": "rudenkobogdan/ps4e11-eda-lgb-xgb-catb-line-val-0-975", "kernel_id": "69528687"}, {"ref": "mikeleston/eda-prep-for-training", "kernel_id": "69468049"}, {"ref": "stefanluncanu/eda-optuna-lightgbm-0-94301", "kernel_id": "69847570"}, {"ref": "taotaoyuzhou119/exploring-mental-health-data", "kernel_id": "69821507"}, {"ref": "swandipsingha/mental-health-ps4e11", "kernel_id": "69469485"}, {"ref": "nouranmahmoudd/depression-prediction-accuracy-94", "kernel_id": "69497653"}, {"ref": "eraakash/mental-health-data-cleaning", "kernel_id": "69634974"}, {"ref": "zongaobian/mental-health-tutorial-on-random-forest-with-ht", "kernel_id": "69472325"}, {"ref": "rishita00/s4e11-jax-x-polars-x-optuna-x-ann", "kernel_id": "69627688"}, {"ref": "rishita00/exploremh-ann-x-optuna-x-f1-thresh", "kernel_id": "69479179"}, {"ref": "vickystutter/exploring-mental-health-data", "kernel_id": "69636479"}, {"ref": "vipin23ds3000042/23ds3000042-dummy-notebook-t32024", "kernel_id": "69749493"}, {"ref": "noureddineridanr96/exploring-mental-health-data-clear-simple", "kernel_id": "69645493"}, {"ref": "raiaizazali/depression-prediction-rf", "kernel_id": "69869856"}, {"ref": "gabrafo/sa-de-mental-xgboost", "kernel_id": "69464658"}, {"ref": "adolfopgv/mental-health-catboost-optuna", "kernel_id": "69587505"}, {"ref": "comatosse/classifying-depression-in-mental-health-data", "kernel_id": "69969414"}, {"ref": "insights02/s4-e11-mental-health-prediction-xgb-lgbm-cat", "kernel_id": "69839741"}, {"ref": "insights02/s4-e11-mental-health-prediction-catboost", "kernel_id": "69736439"}, {"ref": "franjefriten3141592/logistic-model-data-cleaning-data-reduction", "kernel_id": "69525811"}, {"ref": "tnr1337/exploring-mental-health-data-competition-eda-ml", "kernel_id": "69896152"}, {"ref": "martynasvykas/klaudija", "kernel_id": "69735733"}, {"ref": "falrrema/eda-optuna-bagged-catboost-modeling", "kernel_id": "70678291"}, {"ref": "bjoernholzhauer/ps-s04e11-catboost-original", "kernel_id": "70125288"}, {"ref": "bjoernholzhauer/ps-s04e11-fastai-str-cat", "kernel_id": "70780512"}, {"ref": "bjoernholzhauer/ps-s04e11-catboost-focal-oofs", "kernel_id": "70737450"}, {"ref": "bjoernholzhauer/ps-s04e11-lr-oofs", "kernel_id": "70628172"}, {"ref": "bjoernholzhauer/ps-s04e11-lightgbm-oofs", "kernel_id": "70492244"}, {"ref": "jantine/mental-health-mlp-jax", "kernel_id": "70177400"}, {"ref": "manojajj/gemma-elasticnet-88-accuracy", "kernel_id": "70033443"}, {"ref": "harshg97/optimizing-ann-architecture-with-optuna", "kernel_id": "70774095"}, {"ref": "harshg97/automl-with-autogluon-87-models", "kernel_id": "70263346"}, {"ref": "harshg97/catboost-optuna-tuning-with-feature-engineering", "kernel_id": "70143874"}, {"ref": "nnjjpp/play-4-11-mislabel-identifier", "kernel_id": "70538944"}, {"ref": "lucabasa/s04e11-mental-health", "kernel_id": "70194716"}, {"ref": "sakarilukkarinen/mental-health-use-original-data", "kernel_id": "70472512"}, {"ref": "sakarilukkarinen/mental-health-clean-and-simple-dnn", "kernel_id": "70380048"}, {"ref": "sakarilukkarinen/mental-health-separate-students-and-workers", "kernel_id": "70185143"}, {"ref": "sakarilukkarinen/exploring-mental-health-data-round-3", "kernel_id": "70112140"}, {"ref": "cdeotte/fast-gpu-hill-climbing-starter-cv-0-94-lb-0-94", "kernel_id": "70833012"}, {"ref": "codeitnow/manus-second-depr", "kernel_id": "70041296"}, {"ref": "nadymsazad/depression-analysis", "kernel_id": "70613789"}, {"ref": "wguesdon/reusable-eda-templates", "kernel_id": "70730954"}, {"ref": "wguesdon/ps4e11-catboost-xgboost-lightgbm", "kernel_id": "70472917"}, {"ref": "wguesdon/ps4e11-explore-best-models", "kernel_id": "70281432"}, {"ref": "wguesdon/depression-prediction-with-catboost-optuna", "kernel_id": "70347905"}, {"ref": "wguesdon/xgboost-classification-tutorial", "kernel_id": "70879388"}, {"ref": "catadanna/cours-python-3", "kernel_id": "70331294"}, {"ref": "qasimb946/catboost-optuna-0-94355", "kernel_id": "70914140"}, {"ref": "johnsonhk88/exploring-mental-health-dl-tabnet", "kernel_id": "70582635"}, {"ref": "berkkarabilliolu/mental-health-eda-from-scratch-autoclassifier", "kernel_id": "70284054"}, {"ref": "darevid/mental-health-classification-0-94-acc", "kernel_id": "70343469"}, {"ref": "aasirwaseer/xgb-v1-mental-health-data", "kernel_id": "70221718"}, {"ref": "alexanderursu/exploring-depression-eda", "kernel_id": "70074677"}, {"ref": "avinandanpal/mental-health-predictor-eda-prediction-0-93", "kernel_id": "70899140"}, {"ref": "udaken10/first-notebook-1117", "kernel_id": "70895442"}, {"ref": "udaken10/gridsearch-catboost-1117", "kernel_id": "70913158"}, {"ref": "udaken10/catboost", "kernel_id": "70951039"}, {"ref": "thomasmeiner/mental-health-deekseekv2-to-the-rescue", "kernel_id": "70277230"}, {"ref": "chinmayadatt/exploring-mental-health-data", "kernel_id": "70799741"}, {"ref": "sspan0019/s4e11-model-comparison-ensemble", "kernel_id": "70904138"}, {"ref": "juliotorniero/numeric-data-for-cities", "kernel_id": "70943991"}, {"ref": "setyoab/pg-exploring-mental-health", "kernel_id": "70534350"}, {"ref": "rkoirala129/version-1-mental-health", "kernel_id": "70756439"}, {"ref": "egemenuurdalg/lgbm-prediction-s4-e11", "kernel_id": "70000013"}, {"ref": "saumyagupta2025/mental-health-prediction-eda-94-accuracy", "kernel_id": "70000073"}, {"ref": "sadiqballo/mental-health-prediction", "kernel_id": "70955784"}, {"ref": "garvitkatyal/doing-analysis", "kernel_id": "70211795"}, {"ref": "michaelfromoldwick/hello-world-example-basic-logistic-regression", "kernel_id": "70517098"}, {"ref": "michaelfromoldwick/hello-world-example-catboost-version", "kernel_id": "70876718"}, {"ref": "bhatnagardaksh/exploring-depression-survey", "kernel_id": "70771467"}, {"ref": "shubham1111/pss4e11-predicting-depression", "kernel_id": "70207162"}, {"ref": "crisleyoliveira/mentally-depressed-xgb-lgbm-catboost-0-94178", "kernel_id": "70456189"}, {"ref": "lzytim/s04e11-mental-health-xgboost", "kernel_id": "70974978"}, {"ref": "omidsakaki1370/data-analysis-predict-in-mental-health-data", "kernel_id": "70035618"}, {"ref": "rohitsinghbani/mentalhealth-prediction", "kernel_id": "70784859"}, {"ref": "hoon0303/eda-exploring-depression-and-name-initials", "kernel_id": "70806105"}, {"ref": "kaalokggle/mental-health-dataset-competition", "kernel_id": "70859866"}, {"ref": "babydriver1233/exploring-mental-health-data", "kernel_id": "70000339"}, {"ref": "xbrunocruzx/mental-health-classification", "kernel_id": "70985273"}, {"ref": "mariusborel/gridsearchcv-optimized-neural-network", "kernel_id": "70177695"}, {"ref": "mariusborel/stacking-on-mental-health", "kernel_id": "70071142"}, {"ref": "mariusborel/gboost-on-mental-health", "kernel_id": "70714881"}, {"ref": "ryrlwakala/explorementaldepression", "kernel_id": "70074599"}, {"ref": "hakankksal/dl-mental-health3", "kernel_id": "70629197"}, {"ref": "adrienmorel97/predicting-depression-with-ensemble-learning", "kernel_id": "70337277"}, {"ref": "diegogodinezbravo/mental-health-data-classification-model-updated", "kernel_id": "70318366"}, {"ref": "masayakawamata/tabpfn", "kernel_id": "70157248"}, {"ref": "masayakawamata/tabnet", "kernel_id": "70205662"}, {"ref": "adastroabyssosque/prediction-with-logistic-regression", "kernel_id": "70952954"}, {"ref": "msjimenezc/exploring-mental-health-solution-with-keras", "kernel_id": "70811626"}, {"ref": "arminshabanian2000/exploring-mental-health-data", "kernel_id": "70874289"}, {"ref": "yaminh/pss4e11-full-eda-tabularpredictor-0-9755-135", "kernel_id": "70113101"}, {"ref": "dantheshark/playground-series-s4e11", "kernel_id": "70160760"}, {"ref": "bassetkerouche/exploring-mental-health-data-with-tfdf", "kernel_id": "70981448"}, {"ref": "wiktormakowski/mental-health", "kernel_id": "70933222"}, {"ref": "tatianakushniruk/exploratory-depression-analysis", "kernel_id": "70658453"}, {"ref": "vinitpitrubhakta/mental-health-prediction-using-autogluon", "kernel_id": "70934405"}, {"ref": "sarcasmbabachannel/mental-health-survey-kaggle-competition", "kernel_id": "70654616"}, {"ref": "ujjawalsingh10/mental-health-data-gradientboosting-94-03", "kernel_id": "70890068"}, {"ref": "lucasdataartist/eda-mental-health-data", "kernel_id": "70021740"}, {"ref": "lorenzy/seaborn-eda-for-mental-health-data", "kernel_id": "70117507"}, {"ref": "arpit786/stacking-on-mental-health", "kernel_id": "70289881"}, {"ref": "mastersniffer/neural-network-mental-health-s4-e11", "kernel_id": "70353496"}, {"ref": "iitm21f1003639/mental-health-data-votingclassifier-94-accuracy", "kernel_id": "70587686"}, {"ref": "abeshith/ps4e11-mental-health-classifier", "kernel_id": "70058545"}, {"ref": "suprivi/exploring-mental-health-data", "kernel_id": "70611420"}, {"ref": "snehalkhandewale/automl-mental-health", "kernel_id": "70315524"}, {"ref": "kingki19/does-neural-network-help-to-improve", "kernel_id": "70995487"}, {"ref": "alkidiarete/mental-health-super-learner", "kernel_id": "70773613"}, {"ref": "nathanalt/cours-python-3", "kernel_id": "70590239"}, {"ref": "nathanalt/cours-python-2", "kernel_id": "70079852"}, {"ref": "nicolasorefice/mental-health-vc-93-13-acc-cv", "kernel_id": "70557196"}, {"ref": "nicolasorefice/mental-health-voting-classifier-93-7-accuracy", "kernel_id": "70033203"}, {"ref": "nicolasorefice/mental-health-tensorflow-93-5-acc", "kernel_id": "70274346"}, {"ref": "ryo0905/simple-startbook-building-pipeline", "kernel_id": "70360573"}, {"ref": "rohithaaiswarya/predicting-depression", "kernel_id": "70434109"}, {"ref": "vinodkumargurjar/exploring-mental-health-data-vinod", "kernel_id": "70010608"}, {"ref": "razvanmihaihanghicel/no-depression-catboost", "kernel_id": "70862123"}, {"ref": "razvanmihaihanghicel/s04e11-depression-prediction-catbooster", "kernel_id": "70075897"}, {"ref": "shreyasur965/catboost-92-45-accuracy-basic-model", "kernel_id": "70461744"}, {"ref": "balasuryak02/balasuryak-bootcamp", "kernel_id": "70286455"}, {"ref": "sandyg6/exploringmentalhealthdata-randomforestclassifier", "kernel_id": "70872238"}, {"ref": "luccarodriguez/mental-health-data-ensemble", "kernel_id": "70711371"}, {"ref": "olehpiskorskyi/depressionprediction", "kernel_id": "70382403"}, {"ref": "danielphys/my-solution-using-bynary-neural-network", "kernel_id": "70832875"}, {"ref": "commentsm/binary-mental-healthcare-w-general-code", "kernel_id": "70964058"}, {"ref": "commentsm/ml-code-prompting", "kernel_id": "70902865"}, {"ref": "tiaranisibarani/12s22037-tiarani-sibarani", "kernel_id": "70578764"}, {"ref": "igliszs/preprocessing-xgb-lgb-catb", "kernel_id": "70870426"}, {"ref": "mikhailnaumov/exploring-mental-health-xgb-lgb-cat-nn", "kernel_id": "70170358"}, {"ref": "ravaghi/mental-health-prediction-1st-place-solution", "kernel_id": "70174381"}, {"ref": "jonkussponkt/predict-depression", "kernel_id": "70492961"}, {"ref": "shrishh/mental-health-data-using-h2o-ai", "kernel_id": "70810915"}, {"ref": "jusass/catboost-s4e11-ext", "kernel_id": "70589503"}, {"ref": "somendrew/3-model-on-10-para-each", "kernel_id": "70679499"}, {"ref": "somendrew/eda-lgbm-can-fix-mental-health", "kernel_id": "70663492"}, {"ref": "somendrew/automl-mljar-solution-mental-health", "kernel_id": "70287768"}, {"ref": "somendrew/eda-catboost-can-fix-mental-health", "kernel_id": "70333085"}, {"ref": "romsdev/cours-python-3", "kernel_id": "70594572"}, {"ref": "roqayyeh/eda-exploring-mental-health", "kernel_id": "70230837"}, {"ref": "roqayyeh/base-catboost-1", "kernel_id": "70320499"}, {"ref": "roqayyeh/catboost-check", "kernel_id": "70668728"}, {"ref": "roqayyeh/base-catboost-smote-2", "kernel_id": "70416388"}, {"ref": "roqayyeh/lightgbm-hyper", "kernel_id": "70927805"}, {"ref": "roqayyeh/lightgbm-base", "kernel_id": "70857270"}, {"ref": "ashutosh598/depression-prediction-rf-tfdf", "kernel_id": "70390561"}, {"ref": "lionytamaralewinsky/12s22019-liony-tamara-lewinsky", "kernel_id": "70558434"}, {"ref": "adeyazekasiahaan/decisiontreemodel-12s22038", "kernel_id": "70995374"}, {"ref": "randomguy24/exploring-mental-health-19th-place-solution", "kernel_id": "70631847"}, {"ref": "aravindnagarajan/compete-mental-health", "kernel_id": "70654526"}, {"ref": "jacobhh1/mental-health-comp", "kernel_id": "70368443"}, {"ref": "ivanputrapratama/mental-health", "kernel_id": "70446493"}, {"ref": "harsh221upadhyay/menatlhealth-classification-logistic-reg-92-acc", "kernel_id": "70755097"}, {"ref": "inarailean/depression-prediction", "kernel_id": "70980410"}, {"ref": "yagolxuchen/exploring-mental-health-data", "kernel_id": "70119865"}, {"ref": "mdr356/mental-health-suicide", "kernel_id": "70298232"}, {"ref": "iwways/exploring-mental-health-data-eda-boosters", "kernel_id": "70883844"}, {"ref": "hejuncheung/emhd-analysis", "kernel_id": "70689783"}, {"ref": "mathisv/cours-python-3", "kernel_id": "70590252"}, {"ref": "mathisv/cours-python-2", "kernel_id": "70079860"}, {"ref": "lchappa/cours-python-2", "kernel_id": "70079834"}, {"ref": "lchappa/cours-python-3", "kernel_id": "70592181"}, {"ref": "kaboresibiri/cours-python-2", "kernel_id": "70080376"}, {"ref": "kaboresibiri/cours-python-3", "kernel_id": "70590574"}, {"ref": "poojakuniyal/visualizing-mental-health-factors-india", "kernel_id": "70431175"}, {"ref": "shahbodsobhkhiz/mental-health-status-catboost-optuna", "kernel_id": "70150215"}, {"ref": "ultimatemagic79/ps4e11-quick-start-eda-lightbgm", "kernel_id": "70067828"}, {"ref": "utkarshtripathishrey/predicting-depression-by-xgb-classifier", "kernel_id": "70420804"}, {"ref": "utkarshtripathishrey/catboost-classifier-prediction", "kernel_id": "70592235"}, {"ref": "utkarshtripathishrey/predicting-depression-by-using-ann", "kernel_id": "70574346"}, {"ref": "ravikantsaraf/solution-depression", "kernel_id": "70304658"}, {"ref": "karahanos/depression", "kernel_id": "70259185"}, {"ref": "saimnasir/mental-health-prediction-gradient-boosting", "kernel_id": "70293108"}, {"ref": "kmalphamale/mental-health-beginners", "kernel_id": "70007747"}, {"ref": "codewithdark/lazy-classifier-adaboostclassifier", "kernel_id": "70755152"}, {"ref": "peymanarmaghan/s4e11-nn-gbdt-ensemble", "kernel_id": "70221493"}, {"ref": "katrina14/notebook445c86382c", "kernel_id": "70593678"}, {"ref": "asefnaghavi/notebookb78a389ea2", "kernel_id": "70952049"}, {"ref": "shivanshchhawri/notebook84d751e818", "kernel_id": "70902412"}, {"ref": "winfreynainggolan/12s22001-winfrey-h-m-nainggolan", "kernel_id": "70564983"}, {"ref": "kadiryildirim12/exploring-mental-health-data-depression-prediction", "kernel_id": "70396415"}, {"ref": "rayhanislamhridoy/exploring-mental-health", "kernel_id": "70322672"}, {"ref": "rayhanislamhridoy/easy-code-to-understand", "kernel_id": "70347895"}, {"ref": "ivanmitochondrion/fork-of-notebook7c75039dce-best-c97f0e", "kernel_id": "70284045"}, {"ref": "aryagokh/mental-health-deep-eda-and-optuna", "kernel_id": "70788520"}, {"ref": "here78682/s4e11-exploring-mental-health-data-overview", "kernel_id": "70237260"}, {"ref": "mushei/mental-health-eda-model", "kernel_id": "70613752"}, {"ref": "tamarayunika/12s22007-tamara-y-sianipar", "kernel_id": "70559952"}, {"ref": "rudenkobogdan/ps4e11-lgb-xgb-catb-line-blending-with-catb", "kernel_id": "70592264"}, {"ref": "philemonmensah/data-cleaning-on-mental-health-data", "kernel_id": "70829906"}, {"ref": "jahnavipaliwal/depression-classification", "kernel_id": "70132666"}, {"ref": "nafrasia/mental-health-kaggle-ml", "kernel_id": "70916300"}, {"ref": "larxzierrings/exploringmentalhealthdata", "kernel_id": "70699351"}, {"ref": "kparthiban007/mental-health-analysis", "kernel_id": "70096769"}, {"ref": "mukeshp8175/mental-health-prediction", "kernel_id": "70651359"}, {"ref": "mohammadumerjan/mental-health-prediction", "kernel_id": "70943449"}, {"ref": "nemotode/mental-health-data-baseline", "kernel_id": "70616337"}, {"ref": "zongaobian/mental-health-tutorial-on-xgboost", "kernel_id": "70078933"}, {"ref": "victusadi/mental-health-1", "kernel_id": "70769054"}, {"ref": "indahelisasihombing/12s22041-indah-elisa-sihombing", "kernel_id": "70779387"}, {"ref": "keziahutagaol/12s22014-kezia-hutagaol-mental-health", "kernel_id": "70558415"}, {"ref": "mulyadisiahaan/12s22034", "kernel_id": "70556297"}, {"ref": "cintyasitorus/12s22045-cintya-sitorus", "kernel_id": "70559994"}, {"ref": "graciapurba/12s22040-gracia-purba", "kernel_id": "70556530"}, {"ref": "rosarisimanjuntak/12s22052-rosari-simanjuntak-mental-healty", "kernel_id": "70557749"}, {"ref": "krisniacalysta/12s22021-krisnia-calysta-siahaan", "kernel_id": "70995358"}, {"ref": "gracesiahaan/decision-tree-12s22022", "kernel_id": "70559956"}, {"ref": "ernisarumaha/12s22047-erni-kasih-b-sarumaha", "kernel_id": "70557644"}, {"ref": "irasilalahi/12s22048-ira-silalahi", "kernel_id": "70557636"}, {"ref": "lennafebrianahutapea/notebook3b6ba0bcb4", "kernel_id": "70558468"}, {"ref": "agnesharefa/12s22049-agnes-harefa", "kernel_id": "70686286"}, {"ref": "rubenmartogi/12s22026", "kernel_id": "70929815"}, {"ref": "rahelsimanjuntak2909/12s22008-rahel-uli-rotua-simanjuntak", "kernel_id": "70558633"}, {"ref": "ferrypanjaitan/12s22027-ferry-ando-panjaitan", "kernel_id": "70557658"}, {"ref": "moridata/exploring-mental-health-data-score-0-94163", "kernel_id": "70570524"}, {"ref": "yohanasiahaan/12s22003-yohana-siahaan", "kernel_id": "70684303"}, {"ref": "allansoaresduarte/s4-e11-exploring-mental-health-ensemble", "kernel_id": "70175854"}, {"ref": "nil2012/simple-depression-prediction-using-catboost", "kernel_id": "70008266"}, {"ref": "alexandrenouarcto/compet-mental-healh", "kernel_id": "70619607"}, {"ref": "sunshineshafy/predicting-mental-health", "kernel_id": "70386529"}, {"ref": "hyeongjunhyeok/ps4e11-eda-lgb-xgb-catb-line-val-0-975", "kernel_id": "70142444"}, {"ref": "insights02/s4-e11-mental-health-xgb", "kernel_id": "70278102"}, {"ref": "sannabewaga/mental-health-prediction", "kernel_id": "70541962"}, {"ref": "hsgowriyaamini/exploring-mental-health-and-classification", "kernel_id": "70026832"}, {"ref": "anthonybezille/cours-python-2", "kernel_id": "70080665"}, {"ref": "anthonybezille/cours-python-3", "kernel_id": "70590582"}, {"ref": "yassineelhaouat/cours-python-3", "kernel_id": "70592367"}, {"ref": "yassineelhaouat/cours-python-2", "kernel_id": "70080077"}, {"ref": "logauch/cours-python-2", "kernel_id": "70086262"}, {"ref": "logauch/cours-python-3", "kernel_id": "70593214"}, {"ref": "sanogosy/cours-python-3-754d6b", "kernel_id": "70696679"}, {"ref": "glizgliz/lizere-python-3", "kernel_id": "70590126"}, {"ref": "glizgliz/lizere-python2", "kernel_id": "70079779"}, {"ref": "nomadbr/cours-python-2", "kernel_id": "70101011"}, {"ref": "nomadbr/cours-python-3", "kernel_id": "70592273"}, {"ref": "axeljarry/cours-python-3", "kernel_id": "70592343"}, {"ref": "axeljarry/cours-python-2", "kernel_id": "70081270"}, {"ref": "todulguiraud/cours-python-2", "kernel_id": "70082599"}, {"ref": "todulguiraud/cours-python-3", "kernel_id": "70590449"}, {"ref": "aymanelemsail/cours-python-3-3590dc", "kernel_id": "70680394"}, {"ref": "aymanelemsail/cours-python-2", "kernel_id": "70080905"}, {"ref": "corentinar/notebooke291ddee2b", "kernel_id": "70081311"}, {"ref": "lauryrojas/cours-python-3", "kernel_id": "70592117"}, {"ref": "lauryrojas/cours-python-2-5eed99", "kernel_id": "70336457"}, {"ref": "vlaveris/exploring-mental-health-data", "kernel_id": "70390628"}, {"ref": "mdgolamsaqlain/notebookc58e96fe20", "kernel_id": "70924293"}, {"ref": "gimunu/mental-health-categorical-preprocesing-and-lgb", "kernel_id": "71153105"}, {"ref": "gimunu/interpretable-models-shap-rules-fitting", "kernel_id": "71786942"}, {"ref": "alexandrtinekov/exploring-mental-health-data-feature-engeneering", "kernel_id": "71490149"}, {"ref": "sakarilukkarinen/pss4e11-embedded-dnn", "kernel_id": "71908526"}, {"ref": "vikkach/depression-prediction-eda-and-ensembles", "kernel_id": "71400003"}, {"ref": "mlkash/mental-breakdown-gemini-custom-v2", "kernel_id": "71693939"}, {"ref": "seyong73/mental-health-prediction-with-xgboost", "kernel_id": "71902591"}, {"ref": "sarques/emhd-01-public-0-94173-private-0-94084", "kernel_id": "71340748"}, {"ref": "makrrc/mental-health-analisys-final-submission", "kernel_id": "71983892"}, {"ref": "swagician/tps-feeling-blue", "kernel_id": "71878879"}, {"ref": "meisash/exploring-mental-health-data", "kernel_id": "71353583"}, {"ref": "pswitala/mental-health-pytorch-optuna-0-94339", "kernel_id": "71089708"}, {"ref": "pswitala/mental-health-xgboost-optuna-0-94211", "kernel_id": "71963858"}, {"ref": "octavianwr/mental-health-data-competition-base-model-94", "kernel_id": "71532546"}, {"ref": "wguesdon/starter-eda-modeling", "kernel_id": "71175631"}, {"ref": "sunshinesunshine/mental-health-classification-catboost-optuna", "kernel_id": "71205363"}, {"ref": "woodentable64/catboost-does-free-time-really-matter", "kernel_id": "71634101"}, {"ref": "niramay/fork-of-fastai-baseline", "kernel_id": "71122379"}, {"ref": "niramay/fastai-baseline", "kernel_id": "71038506"}, {"ref": "niramay/mental-health-rf", "kernel_id": "71006038"}, {"ref": "linjianhang/your-emotional-state-is-as-important-as-eda", "kernel_id": "71335817"}, {"ref": "julianamantebeadanso/mental-health-prediction", "kernel_id": "71941730"}, {"ref": "mbdutt/mental-health-insights-predictions", "kernel_id": "71808799"}, {"ref": "hanihani/exploring-mental-health-data", "kernel_id": "71791071"}, {"ref": "dejenetechane/predicting-depression", "kernel_id": "71408076"}, {"ref": "astelthottankara/mental-health-prediction-logistic-regression", "kernel_id": "71140460"}, {"ref": "sirenaalyce/exploring-mental-health-data-competition-v3", "kernel_id": "71709016"}, {"ref": "yukishinohara0114/ps-s4-e11-mental-health-my-feature-engineering", "kernel_id": "71742713"}, {"ref": "chinmayadatt/0-94429-ensemble-exploring-mental-health-data", "kernel_id": "71305758"}, {"ref": "mstsvgram/catboost-optuna", "kernel_id": "71465106"}, {"ref": "anastasialaschishina/menthal-health-data", "kernel_id": "71010506"}, {"ref": "rkoirala129/cross-validation-code", "kernel_id": "71513974"}, {"ref": "rkoirala129/cross-validation", "kernel_id": "71311946"}, {"ref": "rkoirala129/feature-engineering", "kernel_id": "71839095"}, {"ref": "masoudhadi/factors-of-depression-a-machine-learning-approach", "kernel_id": "71138354"}, {"ref": "iamtapendu/simple-mental-health-solution-0-94173", "kernel_id": "71172531"}, {"ref": "teojoby/mental-health-data", "kernel_id": "71784844"}, {"ref": "egemenuurdalg/catboost-s4-e11", "kernel_id": "71605471"}, {"ref": "directt/playground-s04e11-8th-place-solution", "kernel_id": "71269859"}, {"ref": "martynovandrey/neural-network-solution", "kernel_id": "71125372"}, {"ref": "jiprud/automatic-eda-using-sweetviz", "kernel_id": "71909521"}, {"ref": "tdoh86/ps4e11-eda-automl-baseline", "kernel_id": "71360560"}, {"ref": "nickcoker/predicting-depression-using-xgboost", "kernel_id": "71999598"}, {"ref": "vladimirzem/mental-health-sc-0-94237-tuning-xgb-lgbm-catb", "kernel_id": "71263870"}, {"ref": "madhumithakuppachi/mentalhealth", "kernel_id": "71838482"}, {"ref": "aieshakuna/mental-health-data-prediction-using-xgboost", "kernel_id": "71031906"}, {"ref": "malaykumar21/exploring-mental-health-data", "kernel_id": "71294173"}, {"ref": "kawsarahmad/mental-health-data-analysis", "kernel_id": "71462451"}, {"ref": "leelasolomon/leela-exploring-mental-health-data", "kernel_id": "71284039"}, {"ref": "rasheedj/deepression", "kernel_id": "71229062"}, {"ref": "rasheedj/mental", "kernel_id": "71531094"}, {"ref": "rv1922/s4-e11-mental-health-status-eda-submission", "kernel_id": "71947093"}, {"ref": "rv1922/s4-e11-mental-health-status-catboost", "kernel_id": "71947278"}, {"ref": "rv1922/s4-e11-mental-status-prediction-ensemble", "kernel_id": "71970036"}, {"ref": "anotherbadcode/feature-engineered-catboost-model", "kernel_id": "71754039"}, {"ref": "mariusborel/boost-optuna", "kernel_id": "71545420"}, {"ref": "crjanb/why-are-you-depressed", "kernel_id": "71444145"}, {"ref": "codevcph/mental-health-model", "kernel_id": "71558561"}, {"ref": "indranil98/mentor-session-indranil", "kernel_id": "71247771"}, {"ref": "krepkiioreshek/mental-health-exploration", "kernel_id": "71755876"}, {"ref": "masayakawamata/hillclimb-depression", "kernel_id": "71724416"}, {"ref": "kswani/lightning-fast-depression-analysis-in-progress", "kernel_id": "71151486"}, {"ref": "sumit08/depression-survey-lightgbm-optuna", "kernel_id": "71025909"}, {"ref": "sumit08/depression-survey-lightgbm", "kernel_id": "71348872"}, {"ref": "sumit08/exploring-mental-health-data", "kernel_id": "71597844"}, {"ref": "sumit08/exploring-mental-health-xgboost-lightgbm-catboost", "kernel_id": "71598178"}, {"ref": "divyanshdixit09/notebooka7ecda1e12", "kernel_id": "71249565"}, {"ref": "monicabackes/depression-and-life-pressures", "kernel_id": "71625072"}, {"ref": "sampadkar/mental-health-data-iterative-imputer-lightgbm", "kernel_id": "71954298"}, {"ref": "rajkailas/mental-health-analysis-and-predictions", "kernel_id": "71788609"}, {"ref": "saphalpoudyal/mental-health-extensive-eda-tf-and-catboost", "kernel_id": "71933993"}, {"ref": "manuelmaterazzo/ps4e11-mental-health", "kernel_id": "71468998"}, {"ref": "maryamsikander/what-drives-depression-mentalhealth-prediction", "kernel_id": "71446262"}, {"ref": "vickk001/catboost-exploring-mental-health", "kernel_id": "71535950"}, {"ref": "gallo33henrique/ps4e11-ml-lightgbm-neural-network-mlp", "kernel_id": "71628876"}, {"ref": "ismailalshofi/a-dive-into-mental-health-using-eda-and-ml", "kernel_id": "71841690"}, {"ref": "mandritsamikhail/ps4e11-94-accuracy-clear-easy", "kernel_id": "71637970"}, {"ref": "wissamelias/eda-data-cleaning-data-insights", "kernel_id": "71604980"}, {"ref": "iitm21f1006461/voting-classifier", "kernel_id": "71589299"}, {"ref": "dilpreetkaur17/exploring-mental-health", "kernel_id": "71539550"}, {"ref": "itasps/0-94371-autogluon-model-depression-health-data", "kernel_id": "71286509"}, {"ref": "itasps/ensembleforexploringmentalhealthdata", "kernel_id": "71650978"}, {"ref": "christina0626/catboost-method", "kernel_id": "71874136"}, {"ref": "areparameswarudu/classification-models-for-mental-health-data", "kernel_id": "71508670"}, {"ref": "abhishekm0403/mental-health-dataset", "kernel_id": "71830539"}, {"ref": "manusjara/mentalhealth-submission", "kernel_id": "71423069"}, {"ref": "pacificrm/don-t-drop-name-column-feature-eng-eda-v1", "kernel_id": "71253593"}, {"ref": "sandyg6/mental-health-data-randomforest-and-xgboost", "kernel_id": "71968566"}, {"ref": "aayushiweb/mental-health", "kernel_id": "71218508"}, {"ref": "mardemarantes/mental-health-comp", "kernel_id": "71174432"}, {"ref": "ankitsharma63/mental-depression-classification", "kernel_id": "71522704"}, {"ref": "engineerfrabbi/exploring-mental-health-data", "kernel_id": "71729320"}, {"ref": "zygmuntyt/mental-health-competition-my-submission-0-941", "kernel_id": "71190461"}, {"ref": "andrewtoh78/mental-health-predictions-voting-classifier-94", "kernel_id": "71859992"}, {"ref": "meilynasahutajulu/12s22039-meilyna", "kernel_id": "71134197"}, {"ref": "tetsuyasugam/mental-health-final-version", "kernel_id": "71881172"}, {"ref": "sarvajitvisagan/exploring-mental-health-data", "kernel_id": "71325916"}, {"ref": "keremarayc/eda-prediction-of-mental-health-data", "kernel_id": "71614533"}, {"ref": "igliszs/catb-vs-xgb", "kernel_id": "71427119"}, {"ref": "danuherath/mental-health-data-binary-classification", "kernel_id": "71885774"}, {"ref": "jaeraklim/exploring-mental-health-data-ver1", "kernel_id": "71360251"}, {"ref": "miguelnngel/here-goes-nothing-mental-health", "kernel_id": "71319343"}, {"ref": "rujhaantaneja154/mental-health-playground-series", "kernel_id": "71740401"}, {"ref": "eliasdguy/mental-health-predictor", "kernel_id": "71061498"}, {"ref": "krzysztof101/mental-health-xgb", "kernel_id": "71330626"}, {"ref": "shilpasingh1312/mental-health-prediction-2", "kernel_id": "71181520"}, {"ref": "shilpasingh1312/mental-health-prediction", "kernel_id": "71013019"}, {"ref": "wizbik/mental-health-rfc-svc-lightgbm", "kernel_id": "71320686"}, {"ref": "galuhajcng/ps4e11-mental-health-eda", "kernel_id": "71402534"}, {"ref": "i2nfinit3y/mental-health-prediction-data-preprocessing", "kernel_id": "71669024"}, {"ref": "i2nfinit3y/mental-health-prediction-baseline-training", "kernel_id": "71705944"}, {"ref": "somendrew/30-models-majority-voting", "kernel_id": "71471314"}, {"ref": "niteshchawla5/mental-health-ml-xgboost-catboost", "kernel_id": "71385680"}, {"ref": "roqayyeh/feature-engineering", "kernel_id": "71305145"}, {"ref": "bronsontmsiallagan/bronson-siallagan", "kernel_id": "71045370"}, {"ref": "wilsonsihombing/decision-tree-mental-health", "kernel_id": "71024267"}, {"ref": "youknowjp/mental-health-prediction", "kernel_id": "71520416"}, {"ref": "maieshasiddika/mental-health-exploration-big-data-energy", "kernel_id": "71241663"}, {"ref": "tanzinatani19/hw2-mental-health-final", "kernel_id": "71922681"}, {"ref": "raulleguia/s4-e11-mental-health-oof-predictions-autogluon", "kernel_id": "71995161"}, {"ref": "reckerdev/mental-health-eda-torch", "kernel_id": "71930637"}, {"ref": "viacheslavgusev007/mental-health-data-search-for-the-best-model", "kernel_id": "71404543"}, {"ref": "gedeonsela/exploring-mental-health-data", "kernel_id": "71754514"}, {"ref": "mohameddrabo/mental-health-data-xgb-lgbm-catboost-0-94125", "kernel_id": "71144565"}, {"ref": "electroknight/mental-health-feature-engineering", "kernel_id": "71298557"}, {"ref": "electroknight/mental-health-x", "kernel_id": "71585357"}, {"ref": "karweii/ensemble-solution-exploring-mental-health-data", "kernel_id": "71576823"}, {"ref": "lucasascarvalho/s4e11-mental-health-data-catboost-0-94", "kernel_id": "71434141"}, {"ref": "farisaboueid/svm-catboostclassifier", "kernel_id": "71454989"}, {"ref": "inesselahchaichi/mentalhealth-withxgboost", "kernel_id": "71634741"}, {"ref": "inesselahchaichi/competitionnotebook", "kernel_id": "71626602"}, {"ref": "prayaskumar/94-344-lgbm-bayessearchcv-sin-transformer", "kernel_id": "71310108"}, {"ref": "cardata/mental-health-data-prediction", "kernel_id": "71920763"}, {"ref": "talaridatta/depression-classification", "kernel_id": "71695499"}, {"ref": "kondlapudidharani/mental-health-data-analysis", "kernel_id": "71647790"}, {"ref": "dvaled/ps-s4e11-stacking-solution", "kernel_id": "71307273"}, {"ref": "newhwan/what-made-arthur-fleck-depressed", "kernel_id": "71095758"}, {"ref": "tanishamaheshwari/exploring-mental-health-data", "kernel_id": "71247025"}, {"ref": "iwways/mental-health-more-visualization", "kernel_id": "71329391"}, {"ref": "iwways/mental-health-xgboost", "kernel_id": "71551447"}, {"ref": "yeftayudistira/mental-health-depression-prediction", "kernel_id": "71392871"}, {"ref": "tomaszlasota/model-2-kaggle-submission", "kernel_id": "71960225"}, {"ref": "tomaszlasota/model-1-kaggle-submission", "kernel_id": "71963108"}, {"ref": "vishalchaurasiyaa/depression", "kernel_id": "71473669"}, {"ref": "maqboolsaiyed/mental-health-data-eda", "kernel_id": "71139613"}, {"ref": "wiktortobota/notebook655f8ca876", "kernel_id": "71071144"}, {"ref": "shriyapise/725-mental-health", "kernel_id": "71374223"}, {"ref": "gayatridata/mental-health-data-analysis-random-forest", "kernel_id": "71216510"}, {"ref": "uchennaokekekalu/mental-health-model", "kernel_id": "71069062"}, {"ref": "rokonuzzamanshaad/ensemble-of-tabnet-xgboost-and-lightgbm-model", "kernel_id": "71463070"}, {"ref": "aslemimolu/ruh-sa-l-verilerinin-analizi", "kernel_id": "71546529"}, {"ref": "monkmode1/depression-analysis-arfah-ml-model", "kernel_id": "71992340"}, {"ref": "monkmode1/depression-analysis", "kernel_id": "71758863"}, {"ref": "rukmaltharaka/mental-health-status-prediction", "kernel_id": "71635582"}, {"ref": "dianalionel/mental-health-eda-prediction-model-93-8", "kernel_id": "71886625"}, {"ref": "aryagokh/mental-health-deep-eda-and-neural-networks", "kernel_id": "71177250"}, {"ref": "keiimai/kaggle-101-for-absolute-beginners", "kernel_id": "71210466"}, {"ref": "evaaaas/depression-2-0-catboost", "kernel_id": "71896493"}, {"ref": "ruthseptiana/12s22042-ruth-septiana-simanullang", "kernel_id": "71127804"}, {"ref": "samuelsitio/12s22032-samuel-sitio", "kernel_id": "71133737"}, {"ref": "jeremysamosir/12s22029-jeremy-samosir-explore-mental-health-data", "kernel_id": "71042507"}, {"ref": "dzakyrayssa/eda-for-mental-health-not-yet-finish", "kernel_id": "71040630"}, {"ref": "ksmooi/mental-health-classification-xgb-classifier", "kernel_id": "71883004"}, {"ref": "abdelrahmanemad594/mental-health-prediction-catboost-94-accuracy", "kernel_id": "71896911"}, {"ref": "berrinkaradag/mental-health-data-eda-ml-project", "kernel_id": "71084392"}, {"ref": "johawk/mental-health", "kernel_id": "71155463"}, {"ref": "soorajraj1/notebook577791d228", "kernel_id": "71953494"}, {"ref": "ednanayub/mental-health-matters", "kernel_id": "71620459"}, {"ref": "jagdishdapke/mental-health-prediction-using-randamforest", "kernel_id": "71517443"}, {"ref": "dolokbutarbutar/dolok-butarbutar-del", "kernel_id": "71018760"}, {"ref": "iokapurba/12s22031-ioka-purba", "kernel_id": "71219217"}, {"ref": "bryanevanssss/12s22030-bryan-simamora", "kernel_id": "71019166"}, {"ref": "bryanevanssss/12s22030-bryan", "kernel_id": "71137578"}, {"ref": "angelinanadeak/12s22015-angelinanadeak-p06", "kernel_id": "71138858"}, {"ref": "mickaelsitompul/12s22033-mickael", "kernel_id": "71217222"}, {"ref": "yohanasitanggang/12s22050-yohanasitanggang", "kernel_id": "71162346"}, {"ref": "jufourlisasirait/12s22044-jufourlisa-sirait", "kernel_id": "71136234"}, {"ref": "beatricesiahaan/12s22020-beatrice-anggraini-siahaan", "kernel_id": "71210586"}, {"ref": "desridabukke/12s22016-desri-stevie-natalie-dabukke", "kernel_id": "71159691"}, {"ref": "difyaambarita/12s22046", "kernel_id": "71199542"}, {"ref": "iftikharhasan/mental-health", "kernel_id": "71288099"}, {"ref": "iftikharhasan/mental-health-depression", "kernel_id": "71726876"}, {"ref": "christoffeltheofani/12s22013-christoffel-theofani-napitupulu", "kernel_id": "71168565"}, {"ref": "chikasitumorang/12s22023-chika-situmorang", "kernel_id": "71199332"}, {"ref": "bethaniahasibuann/12s22004-bethania-hasibuan", "kernel_id": "71199153"}, {"ref": "pimpinahaswerosloi/12s22024", "kernel_id": "71217117"}, {"ref": "gonids4545/playgroundmhd", "kernel_id": "71033449"}, {"ref": "user783922/application-of-ml-in-depression-risk-assessment", "kernel_id": "71725668"}, {"ref": "xiaonahai/mental-health-analysis-and-prediction-code", "kernel_id": "71353238"}, {"ref": "sushmi98/submission-csv", "kernel_id": "71275995"}, {"ref": "aymensaeed/eda-data-cleaning-data-insights", "kernel_id": "71914027"}, {"ref": "khushbukakdiya/mental-health-data", "kernel_id": "71500781"}, {"ref": "khushbukakdiya/mental-health-data-v1", "kernel_id": "71481502"}, {"ref": "peiteee/notebook1b099f0778", "kernel_id": "71353782"}, {"ref": "mario1098/proyectoiii", "kernel_id": "71797368"}, {"ref": "insights02/s4-e11-mental-status-prediction-knn", "kernel_id": "71224706"}, {"ref": "insights02/s4-e11-mental-status-prediction-rf", "kernel_id": "71245448"}, {"ref": "insights02/s4-e11-mental-status-prediction-ensemble", "kernel_id": "71293846"}, {"ref": "insights02/s4-e11-mental-health-catboost", "kernel_id": "71408532"}, {"ref": "joeyz66/mental-health-prediction", "kernel_id": "71902365"}, {"ref": "zeroeva/mental-health-data-neural-network-model", "kernel_id": "71885540"}, {"ref": "yufanai3/mental-health-analysis-advanced-ensemble-learning", "kernel_id": "71202917"}, {"ref": "juanperezurrea/notebook44d17c41c1", "kernel_id": "71799414"}, {"ref": "juanperezurrea/notebookb55be13b2a", "kernel_id": "71847132"}, {"ref": "antonismailov/s4e11-mental-health-lama-ensemble", "kernel_id": "71636435"}, {"ref": "mithavijay/predictingdepression-kagglecompetition", "kernel_id": "71632826"}, {"ref": "mithavijay/exploringmentalhealth-predictdepression-acc-93-9", "kernel_id": "71996793"}, {"ref": "camilochart/mental-health-gradient-boosting", "kernel_id": "71565736"}, {"ref": "camilochart/mental-health-eda-preprocessing", "kernel_id": "71792609"}, {"ref": "nikitasimanjuntak16/nikita-simanjuntak", "kernel_id": "71221152"}, {"ref": "feliceanggiesirait/12s22006-felice-anggie-sirait-mental-health-data", "kernel_id": "71240891"}, {"ref": "chowdhuryadithi/mental-health-models-comparison-94-accuracy", "kernel_id": "71946312"}, {"ref": "akshaypatil11/mental-health-prediction-94-0511-accuracy", "kernel_id": "72378675"}, {"ref": "mobinmohamadi/mental-health-prediction", "kernel_id": "72832499"}, {"ref": "pokjidev/mental-health-data-processing", "kernel_id": "72716821"}, {"ref": "diotcraven/metrics-made-easy-choose-threshold", "kernel_id": "72765882"}, {"ref": "peakwhisky/exploring-mental-health-data", "kernel_id": "72854644"}, {"ref": "atieameri/mental-health-prediction-xgboost-adaboost-lightgbm", "kernel_id": "72481239"}, {"ref": "hudasaleh1/insurance-premium-prediction", "kernel_id": "72783227"}, {"ref": "qemharitsk/mental-health-prediction-competition", "kernel_id": "72070448"}, {"ref": "franciscogcc/simple-catboost-model-top-10-mental-health", "kernel_id": "72267025"}, {"ref": "dinesh873/mental-health-of-genz-ensembling-models", "kernel_id": "72031023"}, {"ref": "talaridatta/depression-classification-xgbtune", "kernel_id": "72929178"}, {"ref": "olvasileva/mental-health-depression-acc94", "kernel_id": "72053041"}, {"ref": "bhavyajha04/exploring-mental-health-s04e11", "kernel_id": "72012955"}, {"ref": "muhammadabdulsami/depression-prediction-ipynb", "kernel_id": "72968498"}, {"ref": "marinamermaid/mental-health-competition", "kernel_id": "72225585"}, {"ref": "turulevlek/exploring-mental-health-data", "kernel_id": "72800677"}, {"ref": "saddasdaasda/the-best-score", "kernel_id": "72437449"}, {"ref": "ar33ba/grid-4", "kernel_id": "72721136"}, {"ref": "ar33ba/tabnet", "kernel_id": "72837957"}, {"ref": "asmarida/fork-of-4-11-lightgbm-optuna", "kernel_id": "72846274"}, {"ref": "asmarida/4-11-lightgbm-optuna", "kernel_id": "72821371"}, {"ref": "asmarida/notebook57c93e4d9f", "kernel_id": "72570052"}, {"ref": "yousefkhalil0/mental-health-prediction-catboost-96-accuracy", "kernel_id": "72523458"}, {"ref": "gageweaver711/7th-place-notebook", "kernel_id": "72067025"}, {"ref": "jessicakaforgsu/mental-health-eda-includes-map-94-accuracy", "kernel_id": "72408367"}, {"ref": "overstarjalmazmo/mentalhealthcompetition", "kernel_id": "72185277"}, {"ref": "julsam/notebookeb540a0e22", "kernel_id": "72002890"}, {"ref": "tuesdaaay/mental-health-eda-ensemble", "kernel_id": "72023735"}, {"ref": "sunixliu/mental-health-dataset-eda", "kernel_id": "73157927"}, {"ref": "catadanna/tab-s4e11-catadanna", "kernel_id": "73297122"}, {"ref": "leonidkulyk/mental-health-eda-modeling", "kernel_id": "73027571"}, {"ref": "garvandahemanth/exploring-mental-health-data-my-complete-anlaysis", "kernel_id": "73124747"}, {"ref": "timothygeiger/mental-health", "kernel_id": "73739497"}, {"ref": "jijagallery/winning-the-depression-prediction-challenge", "kernel_id": "73182235"}, {"ref": "gulnurcivitci/mentalhealth-im-nok", "kernel_id": "73787052"}, {"ref": "sukannadas/exploring-mental-health", "kernel_id": "73454949"}, {"ref": "cengxue/final-report", "kernel_id": "73300305"}, {"ref": "kshitizrana/best-result-catboost-seperating-data-by-profession", "kernel_id": "73351727"}, {"ref": "bison777/depression-prediction-system", "kernel_id": "73009753"}, {"ref": "negmgh/evaluating-mental-health-data", "kernel_id": "73185252"}, {"ref": "liching84/mhd-processing", "kernel_id": "73253925"}, {"ref": "suryabharatula192002/exploring-mental-health-data", "kernel_id": "73358735"}, {"ref": "magsterz/dm-final", "kernel_id": "73458708"}, {"ref": "reneeleentnu/exploring-mental-health-data", "kernel_id": "73324388"}, {"ref": "redsheep913/data-mining-final-project", "kernel_id": "73087523"}, {"ref": "camilochart/mental-health-two-parallel-gradient-boosting", "kernel_id": "73351017"}, {"ref": "ogi675/notebookf295c5d8c6", "kernel_id": "73487753"}, {"ref": "pulakdebpalash/exploring-mental-health-data", "kernel_id": "73355787"}, {"ref": "leetolo/xgboostclassifier-random-search-simple-1", "kernel_id": "74829179"}, {"ref": "leetolo/xgboostclassifier-tpe-optimizer", "kernel_id": "74829385"}, {"ref": "stavanjinturkar/notebook07e8faadc4", "kernel_id": "74229359"}, {"ref": "anacpricciardi/mental-health-data", "kernel_id": "74146496"}, {"ref": "venkateshpvnky/mental-health-predictor-using-machine-learning", "kernel_id": "74329079"}, {"ref": "nour88/mental-health-data-visualization-vz", "kernel_id": "74609744"}, {"ref": "nuzhattabassummedha/sticker-sales", "kernel_id": "74319912"}, {"ref": "tugbayilmaz/eda-for-mental-health-data", "kernel_id": "74914047"}, {"ref": "docxian/pcos-visual-explorations", "kernel_id": "75337989"}, {"ref": "wguesdon/when-i-was-backpacking-through-western-europe", "kernel_id": "75707469"}, {"ref": "ashwinashok55/mental-health-data-model", "kernel_id": "75703853"}, {"ref": "ashwinashok55/mental-health-nn-model", "kernel_id": "75415764"}, {"ref": "keisee00/mental-health-kaggle-competition", "kernel_id": "75163320"}, {"ref": "chriscallender/mental-health-kaggle", "kernel_id": "75428460"}, {"ref": "ldausl/this-code-fixed-my-depression", "kernel_id": "75164645"}, {"ref": "swas06/mentalhealtheda-featureengineering", "kernel_id": "76931163"}, {"ref": "swas06/mentalhealthmodelling", "kernel_id": "76985288"}, {"ref": "karishmabattina/mentalhealthdataanalysis", "kernel_id": "76249129"}, {"ref": "hakimaarroubat/predicting-mental-health-achieving-0-94-accuracy", "kernel_id": "76162848"}, {"ref": "dantheshark/playground-series-s4e11-eda", "kernel_id": "76868708"}, {"ref": "ris3ab/mental-health-2025", "kernel_id": "76390980"}, {"ref": "altynbeksultanbekov/notebookdbb153c8ba", "kernel_id": "76213981"}, {"ref": "arintel/tabpfn-for-classification-with-mental-health-data", "kernel_id": "77392287"}, {"ref": "dantheshark/playground-series-s4e11-preprocessing", "kernel_id": "77249949"}, {"ref": "dantheshark/playground-series-s4e11-modell", "kernel_id": "77686224"}, {"ref": "mahimagarwal18/mental-health-mahim", "kernel_id": "77551752"}, {"ref": "skoolch/exploring-mental-health-data", "kernel_id": "77532243"}, {"ref": "mehakiftikhar/ps5e3-rainfall-prediction-with-catboost", "kernel_id": "78062533"}, {"ref": "annalalik/mental-health-notebook", "kernel_id": "78032167"}, {"ref": "mesutbagl/mental-health", "kernel_id": "79081709"}, {"ref": "yizhongchen/exploring-mental-health-data", "kernel_id": "80402624"}, {"ref": "kurkigal/mental-health-prediction-xgboost-93-acc", "kernel_id": "80186227"}, {"ref": "brunoflausino/brunoflausino-exploring-mental-health-data", "kernel_id": "80811971"}, {"ref": "sariel647/dsml-02-05", "kernel_id": "80498303"}, {"ref": "ivarvb/dcc25ec", "kernel_id": "83166984"}, {"ref": "luiscutipa/notebookc44f509002", "kernel_id": "83891792"}, {"ref": "rab5786/exploring-mental-health-data", "kernel_id": "83103474"}, {"ref": "moridata/key-factors-in-depression-risk", "kernel_id": "83376092"}, {"ref": "liching84/notebookde942dfe5e", "kernel_id": "83442087"}, {"ref": "enolatte/mhd-processing", "kernel_id": "83491752"}, {"ref": "asilbekjon/exploring-mental-healh-data", "kernel_id": "83822083"}, {"ref": "burakcivelek/exploring-mental-health", "kernel_id": "83478911"}, {"ref": "negardeylami/exploring-mental-health-dataset", "kernel_id": "84754998"}, {"ref": "aldozanabria/predicci-n-de-depresi-n-usando-aprendizaje-autom-t", "kernel_id": "84076818"}, {"ref": "sakhawathossen/exploring-mental-health-with-ensemble-learning", "kernel_id": "84182109"}, {"ref": "dakshbhatnagar08/mental-health-0-944-score", "kernel_id": "84882870"}, {"ref": "danilocardoso/exploring-mental-health-data-eda-model", "kernel_id": "85151815"}, {"ref": "yogeshbawankar/depression-prediction", "kernel_id": "85419566"}, {"ref": "antonoof/simple-code-xgb-cat-lgbm", "kernel_id": "85438562"}, {"ref": "ramashishpanchal/exploring-mental-health", "kernel_id": "86029137"}, {"ref": "mdferozahmedafm/mental-health-prediction-with-ensemble-models", "kernel_id": "86654527"}, {"ref": "vedanshtyagi2451/mental-health-prediction-with-ensemble-models", "kernel_id": "88584341"}, {"ref": "mechatronixs/depression-classification-with-ml-f1-0-80", "kernel_id": "91723007"}, {"ref": "nevilpatel/depression-classification-using-neural-network", "kernel_id": "92656433"}, {"ref": "mightguy2409/data-mining-project", "kernel_id": "93997142"}, {"ref": "aleksandrapozorska/depression-classification-1-data-analysis", "kernel_id": "96090512"}, {"ref": "alekseyheleskul/xgboost-insurance-cv-0-9255", "kernel_id": "97542500"}, {"ref": "mightguy2409/dm-student-version", "kernel_id": "97022204"}, {"ref": "alirezakiatonekaboni/depression-ml-classification", "kernel_id": "98770562"}, {"ref": "galangdewangkara616/exploring-mental-health", "kernel_id": "101110061"}, {"ref": "qunhchuthy/mental-health", "kernel_id": "102730079"}, {"ref": "anmol87/notebooke4c30f18b8", "kernel_id": "103138406"}, {"ref": "spartankillsall/dm-student-version", "kernel_id": "103009690"}, {"ref": "spartankillsall/data-mining-project", "kernel_id": "103007248"}, {"ref": "handeharmankaya/mental-health-prediction", "kernel_id": "103631535"}, {"ref": "hanguyen19071995/friday-session-depression-prediction", "kernel_id": "108343687"}, {"ref": "anilabukhari/depression-uncovered-predictive-modeling-and-eda", "kernel_id": "108179652"}, {"ref": "nihalba/exploring-mental-health-depression-prediction", "kernel_id": "114278840"}, {"ref": "dinhducanhkhoa/ida-lab01", "kernel_id": "115404024"}, {"ref": "omeraydin1/depression-classification", "kernel_id": "115279333"}, {"ref": "tranbao0105/data-analysis-final", "kernel_id": "115699238"}, {"ref": "zynptkn06/exploring-mental-health", "kernel_id": "115565833"}, {"ref": "nguyenlehoangtrung/ida-hcmus-mental-health-prediction", "kernel_id": "116701014"}, {"ref": "nguyenlehoangtrung/ida-hcmus-mental-health-prediction-ver2", "kernel_id": "116832323"}, {"ref": "lnk135/ida-hcmus-mental-health-prediction", "kernel_id": "116836015"}, {"ref": "lnk135/ida-hcmus-mental-health-prediction-ver-2", "kernel_id": "116184580"}, {"ref": "iamhieu2012/depression-classification-ida", "kernel_id": "116060490"}, {"ref": "anggidwifiani/mental-health-data-xgb-lgbm-catboost-0-94125", "kernel_id": "117245776"}, {"ref": "christina0626/catboost-feature-selection", "kernel_id": "129686705"}, {"ref": "johnnyee/exploring-mental-health-data", "kernel_id": "129876343"}, {"ref": "zqx960151285/exploring-mental-health-data", "kernel_id": "129574439"}, {"ref": "maryamkarimdehnavi/depression-prediction", "kernel_id": "131131959"}]}
{"competition_id": "84896", "kernels": [{"ref": "trnngclankhanh/regression-of-used-car-prices-fe-lgbm", "kernel_id": "66646507"}, {"ref": "mariusborel/initial-attempt", "kernel_id": "71997327"}, {"ref": "ppujari/regression-insurance-data", "kernel_id": "72872458"}, {"ref": "pradeep13/predict-insurance-premium-eda-simulated-values", "kernel_id": "72018160"}, {"ref": "pradeep13/insurance-competition-learn-feature-rank-first", "kernel_id": "72850550"}, {"ref": "falrrema/ps4e12-yet-another-autogluon-notebook-auto-eda", "kernel_id": "72941637"}, {"ref": "jankuper192/p-r-icing-base-h2o-auto-ml-glm-en-lasso", "kernel_id": "72019552"}, {"ref": "sophieb/insurance-premium-eda-baseline-model-catboost", "kernel_id": "72214462"}, {"ref": "davidalvarezpons/ps-s4e12-predicting-insurance-bonus", "kernel_id": "72170887"}, {"ref": "gimunu/s4e12-lightgbm-optuna-cv-ensembling", "kernel_id": "72086246"}, {"ref": "mayukh18/premium-estimation-eda-pytorch", "kernel_id": "72049382"}, {"ref": "rickpack/r-linear-regression-forward-selection", "kernel_id": "72214319"}, {"ref": "rickpack/linear-regression-forward-selection-binned-credit", "kernel_id": "72798830"}, {"ref": "cv13j0/regression-with-an-insurance-dataset-using-gbdt", "kernel_id": "72054952"}, {"ref": "isaranja/s4e12-starter-pack-by-ama", "kernel_id": "72834199"}, {"ref": "rgoodman/insurance-premiums-eda-and-quick-model", "kernel_id": "72123460"}, {"ref": "krishm/boosting-regressors-for-insurance-dataset", "kernel_id": "72680469"}, {"ref": "arnogils/s4e12-simple-eda-cb-lgbm-xgb-meta", "kernel_id": "72082714"}, {"ref": "mcliff/s4-e12-eda-baseline", "kernel_id": "72218083"}, {"ref": "docxian/ps-s4-e12-insurance-premium-prediction", "kernel_id": "72023573"}, {"ref": "mjamilmoughal/feature-engineering-and-eda", "kernel_id": "72631004"}, {"ref": "cdeotte/metric-rsmle-vs-rsme-vs-mse-vs-mae", "kernel_id": "72252433"}, {"ref": "oscarm524/ps-s4-ep12-eda-modeling-submission", "kernel_id": "72005228"}, {"ref": "pklim101/insurance-dataset-xgb", "kernel_id": "72502139"}, {"ref": "amjadkhatabi/exploring-insurance-premiums-data-relationships", "kernel_id": "72028529"}, {"ref": "makrrc/regression-with-an-insurance-dataset", "kernel_id": "72655425"}, {"ref": "stpeteishii/s4e12-keras-w-tpu", "kernel_id": "72659184"}, {"ref": "stpeteishii/s4e12-gradientboostingregressor-optuna", "kernel_id": "72306913"}, {"ref": "stpeteishii/s4e12-ensemble-w-stackingregressor", "kernel_id": "72479724"}, {"ref": "stpeteishii/s4e12-lazy-regressor", "kernel_id": "72219214"}, {"ref": "stpeteishii/s4e12-histgradientboosting-optuna", "kernel_id": "72230812"}, {"ref": "stpeteishii/s4e12-catboost-optuna-w-count-feature", "kernel_id": "72021960"}, {"ref": "stpeteishii/s4e12-histplot", "kernel_id": "72017997"}, {"ref": "stpeteishii/s4e12-lgbm-optuna-w-count-feature", "kernel_id": "72018361"}, {"ref": "mpwolke/insurance-premiums", "kernel_id": "72002027"}, {"ref": "swagician/tps-catboost-optuna-health-score-secrets", "kernel_id": "72813003"}, {"ref": "cid007/insurance-regression-eda-bl", "kernel_id": "72017788"}, {"ref": "wguesdon/automl-premium", "kernel_id": "72001288"}, {"ref": "sunshinesunshine/eda-with-visualization-catboost-regressor-ftw", "kernel_id": "72183090"}, {"ref": "woodentable64/risky-business-an-eda-adventure-in-insurance", "kernel_id": "72183118"}, {"ref": "aishwaryasharma1992/ps4e12-loan-prediction-using-xg-cat-boost", "kernel_id": "72125580"}, {"ref": "ganeshstemx/ps-s4e12-insurance-dataset-regression", "kernel_id": "72078061"}, {"ref": "yeonseokcho/regression-insurance-data-by-dnn", "kernel_id": "72517236"}, {"ref": "lonnieqin/insurance-premium-prediction-with-keras", "kernel_id": "72776561"}, {"ref": "goduguanilhimam/insurance-regression", "kernel_id": "72384208"}, {"ref": "thiagomantuani/ps4e12-regression-with-an-insurance-get-started", "kernel_id": "72098417"}, {"ref": "umutdorukztrk/regression-with-an-insurance-dataset", "kernel_id": "72185303"}, {"ref": "mananpbansal/playground-s04e12-xgbm-lgbm-catboost-ensemble", "kernel_id": "72546015"}, {"ref": "jonathanfaustin/knn-imputer-for-previous-claims", "kernel_id": "72676901"}, {"ref": "leesstephanie/regression-with-insurance-data-the-exploration", "kernel_id": "72009916"}, {"ref": "thomasmeiner/insurance-automl-to-accelerate-data-scientists", "kernel_id": "72012729"}, {"ref": "thomasmeiner/insurance-please-llm-do-it-for-me", "kernel_id": "72044930"}, {"ref": "thomasmeiner/insurance-perpetualbooster", "kernel_id": "72319049"}, {"ref": "chinmayadatt/autogluon-model-for-insurance-dataset", "kernel_id": "72299464"}, {"ref": "mstsvgram/simple-catboost", "kernel_id": "72069920"}, {"ref": "mstsvgram/xgboost-public-score-1-05657", "kernel_id": "72177701"}, {"ref": "setyoab/pg-regression-with-insurance", "kernel_id": "72187546"}, {"ref": "anastasialaschishina/catboost-of-regression-with-insuranse", "kernel_id": "72553129"}, {"ref": "anastasialaschishina/regression-with-insuranse", "kernel_id": "72232426"}, {"ref": "anastasialaschishina/catboost-regression-with-insuranse", "kernel_id": "72755050"}, {"ref": "sasakitetsuya/ps-s4e12-features-engineering-try", "kernel_id": "72806584"}, {"ref": "rkoirala129/preprocessing-fold-xgb", "kernel_id": "72812424"}, {"ref": "lolislayer/premium-amount-regression-by-deep-learning", "kernel_id": "72440597"}, {"ref": "carlmalina/ps4e12-insurance-premium-prediction-ensemble", "kernel_id": "72109329"}, {"ref": "jeremyhaakenson/how-many-features-do-we-need", "kernel_id": "72941690"}, {"ref": "jimgruman/we-are-farmers-duh-du-du-duh-du-du-dah", "kernel_id": "72011000"}, {"ref": "iamtapendu/insurance-premium-prediction-eda", "kernel_id": "72680962"}, {"ref": "ahmadalmodhayan/regression-with-an-insurance-dataset-ps-s4e12", "kernel_id": "72831567"}, {"ref": "krishnadaskv/xgb-base-model", "kernel_id": "72003243"}, {"ref": "egemenuurdalg/autogluon-prediction", "kernel_id": "72240637"}, {"ref": "martynovandrey/insurance-competition-database", "kernel_id": "72002804"}, {"ref": "maverickss26/regression-with-insurance-dataset-v1", "kernel_id": "72927526"}, {"ref": "yuvannabawa/regression-on-insurance-dataset", "kernel_id": "72451337"}, {"ref": "barbagrande007/bbg007-insurance-lgbm-optuna", "kernel_id": "72250595"}, {"ref": "arthjani/regression-with-an-insurance-dataset-competion", "kernel_id": "72376064"}, {"ref": "crisleyoliveira/pss4-e12-testing-with-automl-and-catboost", "kernel_id": "72132835"}, {"ref": "orphericazainon/insurance-regression", "kernel_id": "72762388"}, {"ref": "noahhaag/insurance-data-autogluon", "kernel_id": "72204920"}, {"ref": "tdoh86/ps4e12-eda-and-baseline", "kernel_id": "72019421"}, {"ref": "paulineac1122/use-light-gbm-for-regression-predict-premium", "kernel_id": "72307771"}, {"ref": "madhumithakuppachi/insurance-premiums", "kernel_id": "72023202"}, {"ref": "hoon0303/catboost-s4e12", "kernel_id": "72006324"}, {"ref": "ravi20076/playgrounds4e12-public-imports-v1", "kernel_id": "72002961"}, {"ref": "ravi20076/playgrounds4e12-baseline-v1", "kernel_id": "72003497"}, {"ref": "ravi20076/cibmtr2024-public-imports-v1", "kernel_id": "72275907"}, {"ref": "ravi20076/cibmtr2024-baseline-v1", "kernel_id": "72276127"}, {"ref": "milosmanic/notebook5e24de9790", "kernel_id": "72983133"}, {"ref": "milannagy/regression-insurance-xgboost-optuna", "kernel_id": "72389349"}, {"ref": "zeeshanrafiqrana/s4-e12-regression-analysis-for-insurance-dataset", "kernel_id": "72208408"}, {"ref": "ranjanprabhash/regression-with-an-insurance-dataset", "kernel_id": "72566372"}, {"ref": "xiangminjie/regression-with-an-insurance-autogluon", "kernel_id": "72451944"}, {"ref": "ahmedmaher22/regression-with-an-insurance", "kernel_id": "72573876"}, {"ref": "kommuanil/anil-1st-competition", "kernel_id": "72918434"}, {"ref": "klyushnik/insurance-dataset-ensemble-keras", "kernel_id": "72200649"}, {"ref": "noehurtado/understanding-our-data-eda", "kernel_id": "72254744"}, {"ref": "suehuynh/kaggle-s4e12-insurance-premium", "kernel_id": "72334100"}, {"ref": "rv1922/s4-e12-lightgbm-optuna-insurance", "kernel_id": "72569895"}, {"ref": "rv1922/s4-e12-xgboost-optuna-submission", "kernel_id": "72046035"}, {"ref": "rv1922/s4e12-eda-model-submission", "kernel_id": "72010755"}, {"ref": "rv1922/s4-e12-regression-of-insurance-data", "kernel_id": "72013880"}, {"ref": "rv1922/s4-e12-insurance-regression-xgboost", "kernel_id": "72020009"}, {"ref": "rv1922/s4-e12-insurance-premium-automl", "kernel_id": "72036839"}, {"ref": "rv1922/s4-e12-premium-prediction-catboost", "kernel_id": "72738534"}, {"ref": "nikhilganorkar/regression-with-insurance-dataset", "kernel_id": "72502056"}, {"ref": "hudasaleh1/insurance-premium-prediction", "kernel_id": "72783227"}, {"ref": "dsssssssbn/notebookae26bb69bc", "kernel_id": "72504837"}, {"ref": "mariusborel/eda-regressions-and-yellowbrick", "kernel_id": "72501927"}, {"ref": "mariusborel/log-then-exp-on-target", "kernel_id": "72062727"}, {"ref": "mariusborel/around-median-just-for-experimentation", "kernel_id": "72815446"}, {"ref": "dicksonwootengwan/regression-with-an-insurance-dataset", "kernel_id": "72697821"}, {"ref": "adrienmorel97/eda-lightgbm-optuna-1-0644", "kernel_id": "72036085"}, {"ref": "chanchal24/insurance-premium-eda-modeling-submission", "kernel_id": "72235864"}, {"ref": "mohamadmahmoud/many-model", "kernel_id": "72417815"}, {"ref": "toddgardiner/s4e12-eda", "kernel_id": "72544904"}, {"ref": "arshmankhalid/regression-analysis-with-the-insurance-dataset", "kernel_id": "72260013"}, {"ref": "francescoliveras/ps-s4-e12-eda-model-en-es", "kernel_id": "72081669"}, {"ref": "sumit08/regression-insurance-dataset-optuna-lightgbm", "kernel_id": "72270302"}, {"ref": "sumit08/regression-with-an-insurance-dataset-xgboost", "kernel_id": "72862162"}, {"ref": "blackdragonk333/insurance-premium-prediction-competition", "kernel_id": "72411750"}, {"ref": "mathewshuvarikov/lgbm-optuna-regression-with-an-insurance-dataset", "kernel_id": "72017172"}, {"ref": "mathewshuvarikov/lightautoml-regression-with-an-insurance-dataset", "kernel_id": "72047554"}, {"ref": "pranjali1121/regression-with-an-insurance-dataset", "kernel_id": "72404284"}, {"ref": "rajkailas/insurance-dataset-catboost", "kernel_id": "72500510"}, {"ref": "rajkailas/insurance-dataset-randomforest", "kernel_id": "72205514"}, {"ref": "kavishchaudhary1003/playground-s4-e12", "kernel_id": "72698987"}, {"ref": "nikhil029/regression-with-an-insurance-datasets4e12", "kernel_id": "72160626"}, {"ref": "lekhatopil/predict-insurance-premium-eda-lightgbm", "kernel_id": "72779145"}, {"ref": "adityayadav01/regression-with-insurance", "kernel_id": "72422220"}, {"ref": "vanpatangan/predict-insurance-premiums-in-r", "kernel_id": "72169910"}, {"ref": "cankszolu/eda-future-analysis-and-cleaning-detailed", "kernel_id": "72401852"}, {"ref": "merfarukelik/rid-baseline", "kernel_id": "72017004"}, {"ref": "teranekerimova/insurance-eda", "kernel_id": "72036752"}, {"ref": "yongsukprasertsuk/pss4e12-autogluon-best-blending", "kernel_id": "72486603"}, {"ref": "yongsukprasertsuk/ensamble-regression-with-an-insurance", "kernel_id": "72428829"}, {"ref": "nabinoli2004/regression-with-an-insurance-dataset", "kernel_id": "72076532"}, {"ref": "nabinoli2004/kaggle-final-linear-regression", "kernel_id": "72361823"}, {"ref": "nabinoli2004/fork-of-kaggle-final-linear-regression", "kernel_id": "72380362"}, {"ref": "yiwenyuan1998/distributed-deep-learning-with-jax-pytorch-frame", "kernel_id": "72483992"}, {"ref": "atharva0577/s4e12-insurance-blending-autogluon-lgbm-xgb", "kernel_id": "72009549"}, {"ref": "backpaker/rid-train-h2o", "kernel_id": "72182800"}, {"ref": "backpaker/rid-catboost-nonlog", "kernel_id": "72253927"}, {"ref": "backpaker/rid-catboost-nonlog-as-feature", "kernel_id": "72030489"}, {"ref": "backpaker/rid-train-autogloun", "kernel_id": "72069959"}, {"ref": "habilamar/kg-s4e12", "kernel_id": "72509999"}, {"ref": "denirupasri/regression", "kernel_id": "72635234"}, {"ref": "gallo33henrique/ps4e12-ml-xgboost-turing-regression-insurance", "kernel_id": "72709239"}, {"ref": "vishnupriyagarige/insurance-prediction-regression", "kernel_id": "72802521"}, {"ref": "gyogyocat/4-12-gbm-xgb-stacking", "kernel_id": "72001199"}, {"ref": "souhillamarzouk/lightgbm-xgboost", "kernel_id": "72992213"}, {"ref": "jacobshaheen/ps-4-12-insurance-premiums-regression", "kernel_id": "72075703"}, {"ref": "ksukhafi/insurance-premium-prediction-optuna-lgbm-logtransf", "kernel_id": "72697044"}, {"ref": "keshabkkumar/regression-with-an-insurance-dataset", "kernel_id": "72331086"}, {"ref": "suprivi/regression-with-an-insurance-dataset", "kernel_id": "72234005"}, {"ref": "utkarshx27/insurance-data-eda-model", "kernel_id": "72011292"}, {"ref": "eprossinger/ps-s4e12-data-preprocessing-eda", "kernel_id": "72001357"}, {"ref": "itasps/polynomial-regression-for-premium-amount", "kernel_id": "72394915"}, {"ref": "comp8oe/ps412-k0-2-lgbm-cv1-049", "kernel_id": "72898549"}, {"ref": "darkdevil18/1-04516-is-your-premium-low", "kernel_id": "72075317"}, {"ref": "ojshavsaxena/regression-with-insurance", "kernel_id": "72450123"}, {"ref": "sonualexantony/regression-with-an-insurance-dataset-competition", "kernel_id": "72491241"}, {"ref": "alkidiarete/tune-xgb-regression-insurance", "kernel_id": "72366435"}, {"ref": "bikkishah/insurancev3", "kernel_id": "72358984"}, {"ref": "samanfatima7/insurance-competition", "kernel_id": "72011900"}, {"ref": "upparisridhar/linearregression-insurance", "kernel_id": "72568842"}, {"ref": "areparameswarudu/estimating-the-premium", "kernel_id": "72297608"}, {"ref": "ayucha/s4e12-the-insurance-game-red-light-green-light", "kernel_id": "72413842"}, {"ref": "nawazhaider/xgboost-baseline-insurance-regression", "kernel_id": "72011960"}, {"ref": "iitm21f1004638/playground-4-12-noteebook", "kernel_id": "72021474"}, {"ref": "richardhhong/insurance-eda", "kernel_id": "72057661"}, {"ref": "pradipbasnet/regression-with-an-insurance-dataset-xgb", "kernel_id": "72320767"}, {"ref": "shrtroshan/notebookc5e31e872b", "kernel_id": "72335313"}, {"ref": "fredericnicholson/autogluon-a-caveman-can-do-it", "kernel_id": "72447585"}, {"ref": "sandyg6/regression-with-insurance-random-forest-regressor", "kernel_id": "72113056"}, {"ref": "sandyg6/regression-with-an-insurance-dataset-catboost", "kernel_id": "72020130"}, {"ref": "sandyg6/rid-linear-regression-decision-trees", "kernel_id": "72013391"}, {"ref": "sandyg6/rid-random-forest", "kernel_id": "72015644"}, {"ref": "sandyg6/regression-with-an-insurance-dataset-xgboost", "kernel_id": "72394610"}, {"ref": "sandyg6/rid-xgboost", "kernel_id": "72446960"}, {"ref": "aayushiweb/insurance-prediction", "kernel_id": "72039731"}, {"ref": "commentsm/regression-insurance-data", "kernel_id": "72207826"}, {"ref": "dheliu/rid-cat-xgb-lgb-sample-starter", "kernel_id": "72960322"}, {"ref": "amri11/insurance-regression", "kernel_id": "72145753"}, {"ref": "younusmohamed/23-00-complete-eda", "kernel_id": "72169824"}, {"ref": "younusmohamed/23-02-complete-preprocessing-feature-importance", "kernel_id": "72268978"}, {"ref": "adityaghai01/pss4e12-simple-deep-learning-1-0596", "kernel_id": "72501460"}, {"ref": "introverstein/ps-s4-ep12-adversarial-validation", "kernel_id": "72015704"}, {"ref": "introverstein/ps-s4-e12-catboost-baseline", "kernel_id": "72026836"}, {"ref": "sczhuoffical/s-c-zhu-insurance-lightautoml", "kernel_id": "72146601"}, {"ref": "sczhuoffical/s-c-zhu-insurace", "kernel_id": "72038593"}, {"ref": "sczhuoffical/s-c-zhu-insurance-h20", "kernel_id": "72218621"}, {"ref": "gins55/insurance-random-forest", "kernel_id": "72538899"}, {"ref": "gins55/insurance-premium-amount-xgboost", "kernel_id": "72697498"}, {"ref": "gins55/insurance-premium-amount-lightgbm", "kernel_id": "72811420"}, {"ref": "samyamshr/insurance-xgbregression", "kernel_id": "72825794"}, {"ref": "bibeksapkota22/insurance-xgbregression", "kernel_id": "72358122"}, {"ref": "tetsuyasugam/insurance-competition", "kernel_id": "72492662"}, {"ref": "tetsuyasugam/regression-with-an-insurance-dataset", "kernel_id": "72007606"}, {"ref": "abdelhakkana/1-06-score-top-46", "kernel_id": "72183714"}, {"ref": "igliszs/preprocessing-optuna-catb", "kernel_id": "72602589"}, {"ref": "sdeogade/insurance-prediction", "kernel_id": "72264701"}, {"ref": "mikhailnaumov/regression-with-an-insurance-cat-lgb-xgb-hgb-ydf", "kernel_id": "72034827"}, {"ref": "ravaghi/s04e12-insurance-premium-prediction-autogluon", "kernel_id": "72047374"}, {"ref": "ravaghi/s04e12-insurance-premium-prediction-ensemble", "kernel_id": "72320189"}, {"ref": "kingkcabir/insurance-challenge", "kernel_id": "72437018"}, {"ref": "yourblud04/legit-competition", "kernel_id": "72665005"}, {"ref": "dominikolszowy/xgboost-insurance-premium-prediction", "kernel_id": "72977867"}, {"ref": "zyh1104/insurance-feature-parameter-optimization", "kernel_id": "72883565"}, {"ref": "zyh1104/insurance-analyze", "kernel_id": "72666769"}, {"ref": "atrbyg24/ps4-e12-regression-with-an-insurance-dataset", "kernel_id": "72725126"}, {"ref": "roqayyeh/insurance-data-catboosteg", "kernel_id": "72543518"}, {"ref": "roqayyeh/eda-insurance-permission", "kernel_id": "72023410"}, {"ref": "abdmental01/regression-lgbm-models", "kernel_id": "72001614"}, {"ref": "abdmental01/abdbase-regression", "kernel_id": "72005471"}, {"ref": "randomguy24/regression-with-insurance-dataset-xgboost-optuna", "kernel_id": "72362890"}, {"ref": "venky9991/insurance-eda-v1", "kernel_id": "72766770"}, {"ref": "sulaniishara/lightgbm-duo-gbdt-goss-for-premiums", "kernel_id": "72679733"}, {"ref": "mridulchdry17/beginner-insurance-s4e12", "kernel_id": "72047340"}, {"ref": "philipakekudaga/predicting-insurance-premiums", "kernel_id": "72925449"}, {"ref": "ericmundt/insurance-regression-fastai-xgb-lgbm", "kernel_id": "72286430"}, {"ref": "koshijain/insurance-premium-prediction-lgb", "kernel_id": "72118069"}, {"ref": "muhammadfurqan0/ps4e12-mapping-the-path-with-eda", "kernel_id": "72129220"}, {"ref": "ssyyhh/eda-of-insurance-data-prediction-of-premium", "kernel_id": "72379177"}, {"ref": "vanshkakkar/approach-regression", "kernel_id": "72370636"}, {"ref": "vanshkakkar/super-stack-ensemble-model-1-04578", "kernel_id": "72576791"}, {"ref": "sunnyvarnawal/insurance-premiums-eda-modeling", "kernel_id": "72009520"}, {"ref": "yaozhiyuan/lazy-version", "kernel_id": "72234551"}, {"ref": "yteshima/ps4s12-ipywidgets-seaborn-gbdts", "kernel_id": "72962278"}, {"ref": "icksir/autogluon-playground", "kernel_id": "72989329"}, {"ref": "andreasbis/rid-eda-catboost-baseline", "kernel_id": "72036106"}, {"ref": "larrylin666/autogluon-credit-scoring-feature-engineering", "kernel_id": "72389639"}, {"ref": "larrylin666/push-the-limit-of-blended-submission", "kernel_id": "72415947"}, {"ref": "larrylin666/ensemble-catboost-xgboost-lgb-starter", "kernel_id": "72176484"}, {"ref": "rithvikmuthyapu/p4e12-data-visualization-and-tf-predictions", "kernel_id": "72068504"}, {"ref": "talaridatta/insurance-premium-amount-prediction-xgbtune", "kernel_id": "72189284"}, {"ref": "talaridatta/insurance-price-predict-auto-gluon", "kernel_id": "72925468"}, {"ref": "pritamdas01/xgboost-regressor-rsmle-1-083", "kernel_id": "72772320"}, {"ref": "oskarprusinowski/get-started-premium-insurance", "kernel_id": "72199998"}, {"ref": "leanaz/pgs4e11-insurance-premium-prediction-eda-r", "kernel_id": "72005290"}, {"ref": "iwways/calculating-premiums-like-a-pro-or-not-eda", "kernel_id": "72029045"}, {"ref": "hejuncheung/model-rid-simple-dnn", "kernel_id": "72486046"}, {"ref": "quantum09/finding-insurance-premiums-ps4e12", "kernel_id": "72018447"}, {"ref": "gkprarthanasewmini/insurance-11-12-24", "kernel_id": "72750922"}, {"ref": "victorhiga/lgbm-baseline-model-insurance-premium", "kernel_id": "72885361"}, {"ref": "sasinduchanakapiumal/regression-insurance-pca-xgboost", "kernel_id": "72743146"}, {"ref": "ultimatemagic79/ps4e12-locket-start-eda-catboost-pv-1-0472", "kernel_id": "72370820"}, {"ref": "cartoonistbeard/lgb-xgb-cat-optuna-hill-climb-1-05008", "kernel_id": "72094271"}, {"ref": "cartoonistbeard/ps4ep12-autogluon-v1-score-1-12866", "kernel_id": "72084550"}, {"ref": "cartoonistbeard/playgrounds4e12-eda", "kernel_id": "72011867"}, {"ref": "bcnadh/competition", "kernel_id": "72194869"}, {"ref": "moazzekry/xgbregressor-insurance-dataset", "kernel_id": "72363100"}, {"ref": "shresthajeevan/insurance-dataset-regression-xgboost", "kernel_id": "72284505"}, {"ref": "dmtrrskv/1-04698-xgb-cat-early-stop-mean-ensemble", "kernel_id": "72340549"}, {"ref": "dmtrrskv/1-07977-quick-dirty-xgb-utility-functions", "kernel_id": "72111363"}, {"ref": "vktsyp/lightgbm-feature-engineering-insurance", "kernel_id": "72978547"}, {"ref": "rayhanislamhridoy/optuna-lightgbm-1-06-score", "kernel_id": "72361418"}, {"ref": "rayhanislamhridoy/easy-code-of-insurance-dataset", "kernel_id": "72103323"}, {"ref": "akhilsakthieswaran/ps4e12-insurance-xgb-lgbm-catboost", "kernel_id": "72106123"}, {"ref": "akhilsakthieswaran/ps4e12-xgb-bayessearchcv-hyperparam-tuning", "kernel_id": "72181386"}, {"ref": "akhilsakthieswaran/ps4e12-lgbm-bayessearchcv-hyperparam-tuning", "kernel_id": "72180038"}, {"ref": "madhavarora03/super-stack-ensemble-model-1-04578", "kernel_id": "72487191"}, {"ref": "madhavarora03/linear-regression-1-08666", "kernel_id": "72315250"}, {"ref": "madhavarora03/lightgbm-xgb-soft-voting-1-04587", "kernel_id": "72403525"}, {"ref": "samikhan25/regression-with-an-insurance-dataset", "kernel_id": "72302838"}, {"ref": "virripranav/a-simple-xgboost-model-public-score-1-0454", "kernel_id": "72826893"}, {"ref": "kashish2407/insurance-costs-a-step-by-step-guide-with-xgboost", "kernel_id": "72684324"}, {"ref": "ricardorioda/linear-regression-1-08666", "kernel_id": "72398911"}, {"ref": "rukmaltharaka/premium-prediction", "kernel_id": "72053077"}, {"ref": "saddasdaasda/xgboost", "kernel_id": "72316698"}, {"ref": "mohamedkhayat/insurance-premium-comp", "kernel_id": "72026684"}, {"ref": "aryagokh/insurance-eda-univariate-bivariate-and-baselines", "kernel_id": "72007408"}, {"ref": "here78682/s4e12-regression-with-insurance-data-overview", "kernel_id": "72423882"}, {"ref": "hamchicchi/insurance-prediction-first-try-polars", "kernel_id": "72431516"}, {"ref": "hamchicchi/insurance-lgbm-add-remove-features-score-1-054", "kernel_id": "72499029"}, {"ref": "rudenkobogdan/s4e12-detailed-eda-and-models-sumbission", "kernel_id": "72001286"}, {"ref": "rudenkobogdan/s4e12-lgboost-model-submission", "kernel_id": "72130504"}, {"ref": "ugurokarapunar/regression-with-an-insurance-dataset", "kernel_id": "72337219"}, {"ref": "mikeleston/s4e12-cat-baseline", "kernel_id": "72862254"}, {"ref": "mikeleston/s4e12-eda-lgbm-base", "kernel_id": "72878148"}, {"ref": "stefanluncanu/insurance-eda-uncovering-insights", "kernel_id": "72573392"}, {"ref": "stefanluncanu/insurance-promo-prediction-keras-tutorial", "kernel_id": "72048376"}, {"ref": "stefanluncanu/1-05185-optuna-lightgbm-beginner-s-guide", "kernel_id": "72187581"}, {"ref": "barathanaslan/clean-data-cat-xgb", "kernel_id": "72057344"}, {"ref": "barathanaslan/eda-dataset-creation-for-insurance-competition", "kernel_id": "72053167"}, {"ref": "barathanaslan/regression-insurance-xgb-optuna-baseline", "kernel_id": "72027112"}, {"ref": "abinakukanova15/lightgbm-optuna-regression", "kernel_id": "72534137"}, {"ref": "chaitalipathak/insurance-premiumamount-lgbm", "kernel_id": "72569594"}, {"ref": "eraakash/insurance-regress-detailed-notebook-x6-lgbm", "kernel_id": "72169115"}, {"ref": "miosznowicki/knai-mn", "kernel_id": "72195786"}, {"ref": "baibhavkundu2005/insurance-regression-eda", "kernel_id": "72021459"}, {"ref": "baibhavkundu2005/insurance-preprocessing-automl", "kernel_id": "72082682"}, {"ref": "baibhavkundu2005/insurance-preprocessing-neural-network", "kernel_id": "72126242"}, {"ref": "zongaobian/insurance-lgbm-tutorial-playground-s04e12", "kernel_id": "72672420"}, {"ref": "haya111/premium-insights-from-analysis-to-prediction", "kernel_id": "72080713"}, {"ref": "vrajesh0sharma7/optimized-xgboost-with-optuna-1-05130", "kernel_id": "72682525"}, {"ref": "vrajesh0sharma7/optimized-xgboost-for-rmsle-minimization", "kernel_id": "72187447"}, {"ref": "rohanvidhate/creative-solution-1-05928", "kernel_id": "72934469"}, {"ref": "moridata/predict-insurance-premiums-1-04555", "kernel_id": "72085891"}, {"ref": "athebesttt/insurance-regression", "kernel_id": "72753146"}, {"ref": "parthrait/regression-but-i-finally-use-categorical-data", "kernel_id": "72183900"}, {"ref": "parthrait/regression-with-an-insurance", "kernel_id": "72016125"}, {"ref": "parthrait/reg-attempt-2", "kernel_id": "72048347"}, {"ref": "noureddineridanr96/regression-with-an-insurance-dataset", "kernel_id": "72062385"}, {"ref": "khushbukakdiya/regression-with-an-insurance-dataset", "kernel_id": "72115970"}, {"ref": "veraweizhao/s4e12-insurance-eda", "kernel_id": "72346677"}, {"ref": "yunus5/eda-lightgbm-model-optuna-opt", "kernel_id": "72690711"}, {"ref": "somanoda/insurance-1-07-catboost", "kernel_id": "72010310"}, {"ref": "jamestkirk248/ps-4-12-regression-with-insurance-dataset", "kernel_id": "72113222"}, {"ref": "raymarnold/insurance-prediction-lightgbm", "kernel_id": "72418951"}, {"ref": "owengrant19940123/regression-with-insurance-dataset", "kernel_id": "72085882"}, {"ref": "abhixshek2000/insurance-premium-data-exploration", "kernel_id": "72208734"}, {"ref": "kevinsmith94624/interesting", "kernel_id": "72534241"}, {"ref": "saikiranrepaka/insurance-data-sus", "kernel_id": "72578384"}, {"ref": "pradeep13/insurance-competition-score-1-04-stack-models", "kernel_id": "73241808"}, {"ref": "jankuper192/lgbm-using-optuna-in-r-just-learning", "kernel_id": "73570338"}, {"ref": "narsil/knai-2024-12-16-insurance-premium-prediction", "kernel_id": "73099989"}, {"ref": "zeus75/lightgbm-insurance-prediction", "kernel_id": "73702668"}, {"ref": "zeus75/ensemble-regression", "kernel_id": "73752009"}, {"ref": "isaranja/s4e12-algorithm-spot-check-by-ama", "kernel_id": "73474632"}, {"ref": "isaranja/s4e12-lightgbm-by-ama", "kernel_id": "73523608"}, {"ref": "isaranja/s4e12-feature-engineering-by-ama", "kernel_id": "73188774"}, {"ref": "isaranja/s4e12-eda-transformation-by-ama", "kernel_id": "73064697"}, {"ref": "isaranja/s4e12-neural-network-by-ama", "kernel_id": "73854333"}, {"ref": "djbaruah/insuarance-premium-predictions-dj", "kernel_id": "73364922"}, {"ref": "chris36/insurance-reg-r-version", "kernel_id": "73407220"}, {"ref": "kumarandatascientist/ensemble-one-approach-insurance-premium-predict", "kernel_id": "73468722"}, {"ref": "kumarandatascientist/insurance-premium-predictions-catboost-nonlog-v1", "kernel_id": "73300955"}, {"ref": "mcliff/s4-e12-model-tuning", "kernel_id": "73124399"}, {"ref": "cdeotte/first-place-single-model-cv-1-016-lb-1-016", "kernel_id": "73865166"}, {"ref": "ikarus99/ps4e12-hard", "kernel_id": "73610484"}, {"ref": "makrrc/regression-with-an-insurance-dataset-version-6", "kernel_id": "73781866"}, {"ref": "carolebaum/regression-with-an-insurance-dataset-carole-baum", "kernel_id": "73486403"}, {"ref": "bohdanpas/insurance-prediction", "kernel_id": "73956093"}, {"ref": "lmedqwdqw100/regression-with-an-insurance-v2", "kernel_id": "73178260"}, {"ref": "massimilianofronza/regression-with-an-insurance-dataset", "kernel_id": "73332313"}, {"ref": "grkmzkn/1-04516-lightgbm-insurance-regression", "kernel_id": "73728544"}, {"ref": "arunbhy/eda-on-the-data", "kernel_id": "73653250"}, {"ref": "catadanna/nans-analysis", "kernel_id": "73326124"}, {"ref": "hipparkarrahul18/regression-with-an-insurance-dataset", "kernel_id": "73405174"}, {"ref": "rafaelbandoni/insurance-ensemble-regressor-lgbm-xgb-and-cat", "kernel_id": "73491902"}, {"ref": "sanscarles/catboostregressor-insurance-dataset", "kernel_id": "73082769"}, {"ref": "anmolmunnolli/inquisitive-turtles", "kernel_id": "73880870"}, {"ref": "anoncypher/insurance-premium-prediction", "kernel_id": "73801417"}, {"ref": "mohamedabder/01-eda-regression-with-an-insurance-dataset", "kernel_id": "73462745"}, {"ref": "tracyporter/playground-4-12-sm", "kernel_id": "73492301"}, {"ref": "tracyporter/playground-4-12-sm-dropna", "kernel_id": "73522657"}, {"ref": "ahmedesso/eda-model", "kernel_id": "73531517"}, {"ref": "ritusantra/regression-with-an-insurance", "kernel_id": "73710922"}, {"ref": "marcelokenjinoda/marcelo-kenji-regression-insurance-dataset", "kernel_id": "73346217"}, {"ref": "skipjack24/insurance-regression", "kernel_id": "73525579"}, {"ref": "angelopimienta/playground-s4e12-linear-regression", "kernel_id": "73238432"}, {"ref": "mstsvgram/lgbm-with-feature-selection", "kernel_id": "73295598"}, {"ref": "sidhantrawal/insurance-dataset-final", "kernel_id": "73556610"}, {"ref": "anastasialaschishina/catboost-eda-of-regression-with-insuranse", "kernel_id": "73458956"}, {"ref": "amirtanha/starting-point-for-the-competition", "kernel_id": "73424255"}, {"ref": "lolislayer/premium-amount-regression-with-xgb", "kernel_id": "73138987"}, {"ref": "mmarkie2/regressioninsurance-scikit-pipeline-lightgbm", "kernel_id": "73485795"}, {"ref": "iamtapendu/fork-of-insurance-premium-prediction-eda", "kernel_id": "73189243"}, {"ref": "mikecarti/hw1-ml", "kernel_id": "73113323"}, {"ref": "martynovandrey/feature-engineering", "kernel_id": "73110565"}, {"ref": "matthuan/premium-prediction-using-lightgbm-optuna", "kernel_id": "73403940"}, {"ref": "superb20/comprehensive-eda-for-insurance-premium-prediction", "kernel_id": "73339719"}, {"ref": "shubham1111/1-03089-s4e12-fe-cb-lgbm-xgb", "kernel_id": "73472285"}, {"ref": "yuvannabawa/insurance-regression", "kernel_id": "73078119"}, {"ref": "noahhaag/autogluon", "kernel_id": "73118205"}, {"ref": "kkkkkihwan/insurance-prediction", "kernel_id": "73525326"}, {"ref": "hoon0303/cv-fold5-ensemble-cat-xgb-autoglon", "kernel_id": "73622625"}, {"ref": "marcobertelli/rergression-insurance-dataset-with-data-analysys", "kernel_id": "73774249"}, {"ref": "shivanshuthapliyal/regression-in-insurance-data-v1", "kernel_id": "73424738"}, {"ref": "zihuaishi/notebook8dd07e14ff", "kernel_id": "73236139"}, {"ref": "egorgladilin/hw-ml2-insuarance", "kernel_id": "73100663"}, {"ref": "egorgladilin/hw-ml2", "kernel_id": "73091547"}, {"ref": "nikhildasari/insurance-premium-amount-prediction", "kernel_id": "73509761"}, {"ref": "bluchuay/random-forest-reg-w-all-feat-insurance-s4e12", "kernel_id": "73506908"}, {"ref": "bluchuay/cleaned-insurance-df", "kernel_id": "73458880"}, {"ref": "bluchuay/novice-random-forest-reg-insurance-s4e12", "kernel_id": "73080932"}, {"ref": "firazztrk/baseline-to-brilliance-kaggle-walkthrough", "kernel_id": "73699274"}, {"ref": "husnashamlik/insurance-with-xgboost-optuna-1-13", "kernel_id": "73579025"}, {"ref": "isufahmed/simple-nn-attempt", "kernel_id": "73147978"}, {"ref": "yaminh/pss4e12-eda-cleaning-hp-om-autogluon-insurance", "kernel_id": "73659092"}, {"ref": "dantheshark/playground-series-s4e12", "kernel_id": "73319165"}, {"ref": "cankszolu/nn-with-optuna-pre-cleared-data", "kernel_id": "73333562"}, {"ref": "cankszolu/nn-clean", "kernel_id": "73386675"}, {"ref": "syednazmussakib/tabnet", "kernel_id": "73590787"}, {"ref": "ycelgerekliolu/insurance-predict-regression-in-r", "kernel_id": "73758343"}, {"ref": "abhishek014/regression-with-an-insurance-quick-look", "kernel_id": "73467468"}, {"ref": "vigneshwaransundar/titanic-machine-learning-from-disaster", "kernel_id": "73687189"}, {"ref": "vigneshwaransundar/regression-with-an-insurance-dataset", "kernel_id": "73636252"}, {"ref": "vigneshwaransundar/house-prices-advanced-regression-techniques", "kernel_id": "73875178"}, {"ref": "snehalkhandewale/know-your-premium-xgboost-optuna", "kernel_id": "73209486"}, {"ref": "snehalkhandewale/automl-regression", "kernel_id": "73071678"}, {"ref": "snehalkhandewale/whats-my-premium-xgboost", "kernel_id": "73147157"}, {"ref": "comp8oe/ps412-eda-k0-0", "kernel_id": "73499957"}, {"ref": "alkidiarete/ensemble-insurance", "kernel_id": "73704635"}, {"ref": "slimeee8888/playground-series-s4e12-1-1", "kernel_id": "73735037"}, {"ref": "nicolasorefice/s4ep12-eda-ridge-1-16", "kernel_id": "73258730"}, {"ref": "francescoalbanesephd/s4e12-xgboost-optuna", "kernel_id": "73535068"}, {"ref": "francescoalbanesephd/s4e12-tensorflow-keras-dnn-optuna", "kernel_id": "73385566"}, {"ref": "shekhu1/final-insurance", "kernel_id": "73603779"}, {"ref": "pg016742/only-xgboost", "kernel_id": "73485450"}, {"ref": "pg016742/only-lightboost", "kernel_id": "73487385"}, {"ref": "adityap17/xgboost-gridsearch-insurance-dataset", "kernel_id": "73020462"}, {"ref": "manusjara/for-submit", "kernel_id": "73448431"}, {"ref": "sandyg6/regression-with-an-insurance-lightgbm", "kernel_id": "73187289"}, {"ref": "thnhtt/s4e12-lgbm-catboost-solution", "kernel_id": "73554953"}, {"ref": "khseon7/regression-insurance", "kernel_id": "73765207"}, {"ref": "niketasengar/insurance-prediction", "kernel_id": "73814082"}, {"ref": "curtiscoding1/video-guide-s4e12-baseline-part-1", "kernel_id": "73865983"}, {"ref": "curtiscoding1/s4e12-beyond-the-baseline-part-2", "kernel_id": "73860997"}, {"ref": "itzgauurab/blended-submission-1-02796", "kernel_id": "73119341"}, {"ref": "sajadsj/regression-insurance", "kernel_id": "73100545"}, {"ref": "alekseyheleskul/catboost-insurance-1-02", "kernel_id": "73686318"}, {"ref": "subrace/all-code", "kernel_id": "73926871"}, {"ref": "kevinkarki/regression-with-the-insurance-dataset", "kernel_id": "73503286"}, {"ref": "igliszs/is-pycaret-good-preprocessing-best-models", "kernel_id": "73728657"}, {"ref": "igliszs/lgb-optuna", "kernel_id": "73163670"}, {"ref": "danuherath/insurance-premium-predict-regression", "kernel_id": "73065086"}, {"ref": "anirudhsub/insurance-v2-rf-feature-engineering", "kernel_id": "73501067"}, {"ref": "anirudhsub/insurance-v1-day-1-model", "kernel_id": "73498214"}, {"ref": "anirudhsub/insurance-v6-neural-network", "kernel_id": "73877601"}, {"ref": "anirudhsub/insurance-v7-ensemble", "kernel_id": "73880467"}, {"ref": "anirudhsub/insurance-v5-bayesian-optimization", "kernel_id": "73873089"}, {"ref": "anirudhsub/insurance-v4-random-search-grid-search", "kernel_id": "73694074"}, {"ref": "anirudhsub/insurance-v3-optuna-smac", "kernel_id": "73602035"}, {"ref": "akinduhiman/data-cleaning-and-feature-engineering-workshop-1", "kernel_id": "73860461"}, {"ref": "sirvana/insurance-regression", "kernel_id": "73841566"}, {"ref": "sirvana/prediction-insurance-premium-amount", "kernel_id": "73508762"}, {"ref": "zyh1104/feature-engineering-no-hyperparamer-lgb-xgb-cat", "kernel_id": "73131695"}, {"ref": "zyh1104/optuna-autogluon", "kernel_id": "73804559"}, {"ref": "ashutosh598/insurance-dataset-regression-competition", "kernel_id": "73645774"}, {"ref": "samanyuk/regression-with-an-insurance-dataset-s4-e12", "kernel_id": "73676183"}, {"ref": "mariyamalshatta/competition-rergression-with-an-insurance-datase", "kernel_id": "73405076"}, {"ref": "sulaniishara/lightgbm-unleashed-premiums-decoded", "kernel_id": "73352802"}, {"ref": "westoon/xgboost-catboost-1-0457", "kernel_id": "73720887"}, {"ref": "ojizou003/insurance-with-xgbm-1-04456", "kernel_id": "73807671"}, {"ref": "muhumuzadeusai/regression-with-insurance-premiums", "kernel_id": "73637361"}, {"ref": "yosukekobayashigp/test-kobayou-241230", "kernel_id": "73816274"}, {"ref": "mohameddrabo/features-selections-lgbm-eda", "kernel_id": "73388744"}, {"ref": "rajitanand/baseline-36-different-datasets-xgb-cat-lgbm", "kernel_id": "73582484"}, {"ref": "mukhammedabusuveilim/lightgbm-regression", "kernel_id": "73842357"}, {"ref": "swattikmaiti0512/s4e12-missing-value-trends-plots", "kernel_id": "73496134"}, {"ref": "neeraj8180/insurance-trends-with-regression", "kernel_id": "73545083"}, {"ref": "draganpinsent98/regression-with-insurance-python", "kernel_id": "73210460"}, {"ref": "pushpendradon/insurance-costs-prediction-simplest-sol-1-17", "kernel_id": "73368036"}, {"ref": "isent0/regression-with-insurance-dataset-data-cleaning-ml", "kernel_id": "73786372"}, {"ref": "skytao1314/regression-with-an-insurance-dataset", "kernel_id": "73423150"}, {"ref": "iwways/insurance-premiums-unlocked-train-like-a-pro", "kernel_id": "73191184"}, {"ref": "hejuncheung/model-rid-rfr", "kernel_id": "73080291"}, {"ref": "bindu79/regression-with-insurance-notebook", "kernel_id": "73857558"}, {"ref": "midhunsomu/eda-linear-regression", "kernel_id": "73724904"}, {"ref": "ywj990309/regression-on-insurance-catboost", "kernel_id": "73842672"}, {"ref": "christianbarreto07/complete-predictive-modeling-pipeline-lgbm", "kernel_id": "73686752"}, {"ref": "whatthedatahastotell/regression-with-an-insurance-dataset", "kernel_id": "73432832"}, {"ref": "devaanshpuri/regression-on-insurance-dataset-with-eda", "kernel_id": "73859435"}, {"ref": "devaanshpuri/insurance-reggression-simple", "kernel_id": "73694660"}, {"ref": "mirkocaroleo/regression-with-an-insurance-dataset", "kernel_id": "73320662"}, {"ref": "ntma237/insurance-premium-amount", "kernel_id": "73427218"}, {"ref": "schran/insurance-dataset-regression", "kernel_id": "73700616"}, {"ref": "rayhanislamhridoy/last-notebook", "kernel_id": "73817868"}, {"ref": "rayhanislamhridoy/easy-code-regresson-with-insurance-catboost", "kernel_id": "73529178"}, {"ref": "stunter2/first-comp", "kernel_id": "73112911"}, {"ref": "harshitsrivastava25/regression-insurance-check-for-linear-non-linear", "kernel_id": "73520352"}, {"ref": "godlhardhit/blending-notebook-solution", "kernel_id": "73571627"}, {"ref": "anacpricciardi/regression-with-an-insurance-dataset-in-r", "kernel_id": "73817823"}, {"ref": "yuvrajbalagoni/insurance", "kernel_id": "73867419"}, {"ref": "anit0107/xgboost-gridsearch-insurance-dataset", "kernel_id": "73017696"}, {"ref": "yadokari/cat-lgbm-xgb-rforest-multipleregression", "kernel_id": "73525550"}, {"ref": "mushei/neural-lgbm-insurance-predictor", "kernel_id": "73429649"}, {"ref": "miftahuladib/lightgbm-insurance-regression-for-beginner", "kernel_id": "73826387"}, {"ref": "sruthialya/sample-submission-csv-insurance", "kernel_id": "73295356"}, {"ref": "sruthialya/fork-of-sample-submission-csv-insurance", "kernel_id": "73333630"}, {"ref": "elasgustavoknaus/nn-and-pipeline-approach-for-polars", "kernel_id": "73601546"}, {"ref": "elasgustavoknaus/nn-and-pipeline-approach-for-polars-4", "kernel_id": "73702245"}, {"ref": "elasgustavoknaus/statistical-modeling-xgboost-gpu-accelerated", "kernel_id": "73830915"}, {"ref": "hensikavar/insurance-costs-prediction-step-by-step", "kernel_id": "73149650"}, {"ref": "bhavyammadhrani/insaurance-dataset-preprocessing-and-modelling", "kernel_id": "73496953"}, {"ref": "yugandhar21/insurance-prediction", "kernel_id": "73585200"}, {"ref": "kparthiban007/insurance-prediction", "kernel_id": "73304534"}, {"ref": "eunsilye/ps4e12-esy", "kernel_id": "73424405"}, {"ref": "eraakash/nans-vs-not-nans", "kernel_id": "73383596"}, {"ref": "nadimriaz/notebookc64aa2aa17", "kernel_id": "73529639"}, {"ref": "rohanvidhate/model-2", "kernel_id": "73388561"}, {"ref": "sabra15/insurance-premium-estimation-eda-lgbm", "kernel_id": "73523369"}, {"ref": "giridox/insurance-project", "kernel_id": "73469539"}, {"ref": "joelhamilton/fork-of-jdh-regression-with-an-insurance-dataset", "kernel_id": "73230763"}, {"ref": "joelhamilton/jdh-regression-with-an-insurance-dataset", "kernel_id": "73054181"}, {"ref": "mohitsharma07/pgs-insurance-dataset-ann-with-1-07-score", "kernel_id": "73618550"}, {"ref": "abhishekpower/tabm-use-2", "kernel_id": "73806399"}, {"ref": "mahmoudalrefaey/xgboost-insurance-dataset", "kernel_id": "73384604"}, {"ref": "a1ex21/regression-with-an-insurance-dataset-in-r", "kernel_id": "73744306"}, {"ref": "madhavdhage201/reg-insurance", "kernel_id": "73620875"}, {"ref": "madaoao/regression-with-an-insurance-dataset", "kernel_id": "73787657"}, {"ref": "juanperezurrea/s4-ep12-regression-with-an-insurance-catboost-v2", "kernel_id": "73152717"}, {"ref": "juanperezurrea/s4-ep12-regression-with-an-insurance-ensemble-v5", "kernel_id": "73503696"}, {"ref": "juanperezurrea/s4-ep12-regression-with-an-insurance-ensemble-v8", "kernel_id": "73640090"}, {"ref": "iamrushali/playground-insurance-premium-4", "kernel_id": "73560395"}, {"ref": "eyajlassi23/regression-with-an-insurance-dataset-1-04412", "kernel_id": "73866941"}, {"ref": "overstarjalmazmo/insurance-competition-regression", "kernel_id": "73716552"}, {"ref": "punitbandi/regression-with-an-insurance-dataset", "kernel_id": "73907145"}, {"ref": "jjm316/randomforestregressor-1-19", "kernel_id": "73717836"}, {"ref": "nnnhitesh/firsttry", "kernel_id": "73538725"}, {"ref": "slimshadydata/playground-series-s4e12-1-1", "kernel_id": "73849458"}, {"ref": "shuqipro/gradient-boosting-for-insurance-premium-prediction", "kernel_id": "73863557"}, {"ref": "purushottamsharma/linearregressionpytorch", "kernel_id": "74971074"}, {"ref": "vedangisharma/insurance-premium-prediction-regression", "kernel_id": "74453802"}, {"ref": "shreshthamodi/regression-insurance-dataset", "kernel_id": "74057109"}, {"ref": "jeanbaptistechaudron/symbolic-regression-with-optuna", "kernel_id": "74472882"}, {"ref": "neonboy19/insurance-regression", "kernel_id": "74473410"}, {"ref": "sturarods/decisiontree-xgb-lightgbm", "kernel_id": "74061407"}, {"ref": "danielsandii/insurance-dataset", "kernel_id": "74160173"}, {"ref": "zyh1104/first-place-program-analysis-comparison", "kernel_id": "74251648"}, {"ref": "divyakrishnakumar1/insurance-premium-prediction-lgbm", "kernel_id": "74149907"}, {"ref": "sgoutami/regression-with-an-insurance-dataset-analysis", "kernel_id": "74745887"}, {"ref": "metinhsimimi/insurance-eda-ydata-regression", "kernel_id": "74007063"}, {"ref": "muhammadamirrafiq/competition-regression-with-an-insurance-dataset", "kernel_id": "74057780"}, {"ref": "andreagobbez/playground-regression-with-an-insurance-dataset", "kernel_id": "74145244"}, {"ref": "yunusemreoztrk/analysis-and-lightgbm-model", "kernel_id": "74291047"}, {"ref": "viveksingh2400/working-with-pipeline", "kernel_id": "74202492"}, {"ref": "saishivapalabindala/regression-with-insurance-dataset", "kernel_id": "74900945"}, {"ref": "swas06/insuranceregressionmodelxgboost", "kernel_id": "75621686"}, {"ref": "eslam200/regression-insurance-dataset", "kernel_id": "75330373"}, {"ref": "brianketelboeter/insurance-regression-pipe-2", "kernel_id": "75637498"}, {"ref": "regenyang/xgboost-data-clean", "kernel_id": "75563834"}, {"ref": "johnmelling/insurance-premium-analysis-and-regression", "kernel_id": "75043274"}, {"ref": "adityaaluri/insurance-using-xgb", "kernel_id": "75852694"}, {"ref": "brahmendrabachi/regression-with-an-insurance-dataset-1-050", "kernel_id": "75079320"}, {"ref": "olvasileva/s4-e12-unfinished", "kernel_id": "75162034"}, {"ref": "antonioschiro/regression-insurance-premium-amount-estimation", "kernel_id": "75873537"}, {"ref": "arintel/tabpfn-for-regression-with-insurance-data", "kernel_id": "76898542"}, {"ref": "charishmasiriki/insurance-eda-and-cat-boost", "kernel_id": "76602899"}, {"ref": "arshmankhalid/regression-analysis-on-insurance-data", "kernel_id": "76135621"}, {"ref": "burakesenlik/regression-with-an-insurance", "kernel_id": "76076863"}, {"ref": "vinodkumargurjar/regression-eda-vinod", "kernel_id": "76576669"}, {"ref": "vnniciusgabriel/regression-insurance-dataset", "kernel_id": "77684989"}, {"ref": "sehriyarmemmedli/insurance-dataset", "kernel_id": "78508297"}, {"ref": "yrpcio/insurance-eda-and-cat-boost", "kernel_id": "78309496"}, {"ref": "ohwhykate/regression-with-insurance", "kernel_id": "78385858"}, {"ref": "elansooriyan/performed-fe-and-developed-regression-models", "kernel_id": "78698488"}, {"ref": "elansooriyan/performed-eda-on-data", "kernel_id": "78700223"}, {"ref": "allenkuo0720/insurance-playground-season-4-episode-12", "kernel_id": "79663724"}, {"ref": "ravaghi/hill-climbing-example-regression", "kernel_id": "79461455"}, {"ref": "mesutbagl/regression-with-an-insurance", "kernel_id": "79114673"}, {"ref": "purinutpolasanano/autogluon-for-regression-with-insurance-dataset", "kernel_id": "80300768"}, {"ref": "sjain600/lightbm-model-with-feature-importances", "kernel_id": "80499559"}, {"ref": "willongwang/xgboost", "kernel_id": "80924303"}, {"ref": "willongwang/nnmodel", "kernel_id": "80957422"}, {"ref": "thejascc12/premium-amount-modeling", "kernel_id": "82514559"}, {"ref": "olaelshiekh/insurancemodelling", "kernel_id": "85876925"}, {"ref": "oguztoy/insurance-regression", "kernel_id": "85741925"}, {"ref": "bouticheradia/radi-insurance", "kernel_id": "85877118"}, {"ref": "adellezreiby/copy-of-insurancemodelling", "kernel_id": "86929732"}, {"ref": "majdash/insurancd", "kernel_id": "86132314"}, {"ref": "amitojbirah/notebook708fff9349", "kernel_id": "87260158"}, {"ref": "thuandao/insurance-premium-ba-eda-ml", "kernel_id": "88665147"}, {"ref": "masayakawamata/s4e12-xgb", "kernel_id": "89715136"}, {"ref": "masayakawamata/s4e12-2way-te-ce-lgbm", "kernel_id": "89707783"}, {"ref": "masayakawamata/s4e12-2way-orig-lgbm", "kernel_id": "89709197"}, {"ref": "masayakawamata/s4e12-l2-xgb", "kernel_id": "89712102"}, {"ref": "masayakawamata/s4e12-lgbm", "kernel_id": "89713342"}, {"ref": "devsurakshitkapoor/insurance-premium-prediction-gb-gridsearchcv", "kernel_id": "89918194"}, {"ref": "docxian/ps-s5-e09-bpm-prediction", "kernel_id": "91018998"}, {"ref": "adnananam/insurance-premium-price-prediction-statistics", "kernel_id": "92726878"}, {"ref": "smitpatel3564/data-minions-project", "kernel_id": "93881807"}, {"ref": "manavjoshi5085/toxic-chat-detection-model", "kernel_id": "94446569"}, {"ref": "monikajami/notebook765adf61f3", "kernel_id": "94453472"}, {"ref": "monikajami/notebook3fca4fc51f", "kernel_id": "94451413"}, {"ref": "monikajami/notebook478e961a0a", "kernel_id": "94477352"}, {"ref": "nina2025/ps-s4e12-h-blend-fe", "kernel_id": "95709797"}, {"ref": "lohithmorampudi/regression-with-an-insurance-dataset", "kernel_id": "95044477"}, {"ref": "olaelshiekh/insurance-comp-business-eda-aiv2", "kernel_id": "104563780"}, {"ref": "ammarmwaziny/regression-with-an-insurance-dataset07-01", "kernel_id": "104960909"}, {"ref": "abdalhafez/insurance-test", "kernel_id": "104563786"}, {"ref": "hanenbriki/insurance-comp-busness-eda", "kernel_id": "104799166"}, {"ref": "ammarabokhroub/eda-insurance-dataset-ammar", "kernel_id": "104563834"}, {"ref": "risalatlabib/first-place-single-model-cv-1-016-lb-1-016", "kernel_id": "105249644"}, {"ref": "emsibaddung13579/big-data", "kernel_id": "105164561"}, {"ref": "osamaabdall/insurance-comp-business-eda", "kernel_id": "106129971"}, {"ref": "waelhlal/insurance-comp-business-eda-training", "kernel_id": "106311410"}, {"ref": "mohitsharma231234/s4e12-insurance-amount-feature-eng-lgbm", "kernel_id": "107030573"}, {"ref": "ahmedsamirafattah/gemini-agent-autonomous-insurance-regression", "kernel_id": "109778454"}, {"ref": "jalesummak/regression-with-an-insurance", "kernel_id": "111576457"}, {"ref": "quaidiqbal11/dsta-final-project-2026", "kernel_id": "115750340"}, {"ref": "shahzaibali01/insurance-premium-prediction", "kernel_id": "116194927"}, {"ref": "rafi002/dsta-final-project-insurance-premium-prediction", "kernel_id": "117033423"}, {"ref": "birgulacar89/insurance-premium-regression", "kernel_id": "123080777"}, {"ref": "zqx960151285/regression-with-an-insurance-dataset", "kernel_id": "129557785"}]}
{"competition_id": "84909", "kernels": [{"ref": "hsiehchengwei/ce6020-hw1-code-example-svm", "kernel_id": "65987845"}, {"ref": "gavinding/ce6020-hw1-code-example-svm", "kernel_id": "66495519"}, {"ref": "hsiehchengwei/ce6020-hw1-code-example-nn", "kernel_id": "66070433"}]}
{"competition_id": "84911", "kernels": []}
{"competition_id": "84922", "kernels": []}
{"competition_id": "84933", "kernels": [{"ref": "gerardmuozluceo/practica-1-copia", "kernel_id": "76833347"}]}
{"competition_id": "84937", "kernels": []}
{"competition_id": "84952", "kernels": []}
{"competition_id": "84953", "kernels": []}
{"competition_id": "84969", "kernels": [{"ref": "kharrington/deepfindet-train", "kernel_id": "69430016"}, {"ref": "kharrington/deepfindet-inference", "kernel_id": "69441887"}, {"ref": "kharrington/blobdetector", "kernel_id": "69854798"}, {"ref": "derderi/dirdiri2024", "kernel_id": "69988554"}, {"ref": "mpwolke/cryoet-particles-zarr-format", "kernel_id": "69960008"}, {"ref": "mirzamilanfarabi/cryoet-starter-notebook-test", "kernel_id": "69971854"}, {"ref": "mirzamilanfarabi/cryoet-starter-notebook-llm", "kernel_id": "69972550"}, {"ref": "chanpreetsingh07/jcm-first-submission-ts-5-4-visualization", "kernel_id": "69954373"}, {"ref": "davidlist/experiment-ts-6-4-visualization", "kernel_id": "69958675"}, {"ref": "rmsbms/eda-particles-visualization", "kernel_id": "69966712"}, {"ref": "perdigao1/study-data", "kernel_id": "69961847"}, {"ref": "hengck23/speed-up-connected-component-analysis-with-pytorch", "kernel_id": "70419234"}, {"ref": "hengck23/random-submission", "kernel_id": "70570001"}, {"ref": "hengck23/3d-unet-using-2d-image-encoder", "kernel_id": "70111756"}, {"ref": "fnands/create-numpy-dataset-exp-name", "kernel_id": "70393381"}, {"ref": "fnands/baseline-unet-train-submit", "kernel_id": "70260623"}, {"ref": "fnands/create-offline-dependencies", "kernel_id": "70269035"}, {"ref": "fnands/create-numpy-dataset", "kernel_id": "70165004"}, {"ref": "sakvaua/cryoet-3d-particle-size-visualization-by-slice", "kernel_id": "70789752"}, {"ref": "tmyok1984/czii-particle-3d-locations", "kernel_id": "70853989"}, {"ref": "nk35jk/3d-visualization-of-particles", "kernel_id": "70164756"}, {"ref": "rostepifanov/augmentation-for-voxel-mask-and-points", "kernel_id": "70595787"}, {"ref": "stpeteishii/czii-prepare-image-data-for-unet", "kernel_id": "70225427"}, {"ref": "stpeteishii/czii-unet-w-callback-max-epochs", "kernel_id": "70229005"}, {"ref": "stpeteishii/czii-static-image-and-overlay-image", "kernel_id": "70143338"}, {"ref": "stpeteishii/czii-zarr-image-view", "kernel_id": "70115767"}, {"ref": "stpeteishii/czii-data-3d-view", "kernel_id": "70067863"}, {"ref": "stpeteishii/czii-3d-unet-w-callback-max-epochs", "kernel_id": "70447011"}, {"ref": "ahsuna123/3d-u-net-training-only", "kernel_id": "70006514"}, {"ref": "yasserhessein/ts-5-isonetcorrected-canny-edge-detection", "kernel_id": "70029041"}, {"ref": "yasserhessein/czii-cryoet-object-detection-using-u-net", "kernel_id": "70080000"}, {"ref": "markwijkhuizen/cryoet-data-preparation-pub", "kernel_id": "70582259"}, {"ref": "mirzamilanfarabi/fork-of-czii-cryoet-resnet50", "kernel_id": "70135628"}, {"ref": "mirzamilanfarabi/cryoet-starter-notebook-llm-v2-0", "kernel_id": "70127665"}, {"ref": "stgkrtua/czii-ctdeconvolved-images", "kernel_id": "70020635"}, {"ref": "stgkrtua/czii-denoised-images", "kernel_id": "70022080"}, {"ref": "stgkrtua/czii-isonetcorrected-images", "kernel_id": "70022242"}, {"ref": "stgkrtua/czii-wbp-images", "kernel_id": "70022334"}, {"ref": "drvtalan/streamline-your-data-with-zarr", "kernel_id": "70464004"}, {"ref": "kawaiicoderuwu/3d-cell-in-blender", "kernel_id": "70045378"}, {"ref": "horikitasaku/cryoet-generate-cube-data", "kernel_id": "70028620"}, {"ref": "pikaaa/czii-cryoet-od-eda-cnn", "kernel_id": "70127302"}, {"ref": "stemosamaghandour/czii-cryoet-by-eg-stem-educator", "kernel_id": "70191551"}, {"ref": "bhanuthedragon/visualizing-zarr-file", "kernel_id": "70172868"}, {"ref": "merolavtechnology/cryoet-object-identificatio", "kernel_id": "70012930"}, {"ref": "mjz1977/01-create-and-display-masks-with-zoom", "kernel_id": "70344783"}, {"ref": "mjz1977/czii-metric-is-it-a-mistake", "kernel_id": "70906916"}, {"ref": "aslemimolu/czii-cryoet-object-identification", "kernel_id": "70971450"}, {"ref": "rudenkobogdan/cryoet-image-visualisation", "kernel_id": "70186933"}, {"ref": "zhuowenzhao11/3d-u-net-pytorch-lightning-distributed-training", "kernel_id": "70117871"}, {"ref": "silveray/blobdetector", "kernel_id": "70350001"}, {"ref": "gabrielderhy/protein-competition-draft", "kernel_id": "70599136"}, {"ref": "davidokeamah/experiment-ts-6-4-visualization", "kernel_id": "70412001"}, {"ref": "martlast/241114-mart-1", "kernel_id": "70670320"}, {"ref": "danielwilliams0007/baseline-unet-train-submit", "kernel_id": "70859800"}, {"ref": "danielwilliams0007/notebook790275a31e", "kernel_id": "70855583"}, {"ref": "hengck23/1-hr-fast-2d-3d-unet-resnet34d-scanner-tta", "kernel_id": "71426434"}, {"ref": "om1042/zarr-file-format", "kernel_id": "71124491"}, {"ref": "rostepifanov/torch-dataset-with-augmentations-visualization", "kernel_id": "71988515"}, {"ref": "lizzza/czii-3d-binary-masks-with-true-particle-volumes", "kernel_id": "71856449"}, {"ref": "lizzza/czii-visualization-with-correct-radii", "kernel_id": "71851085"}, {"ref": "cafelatte1/czii-data-pipeline-a1", "kernel_id": "71912146"}, {"ref": "antonsibilev/particles-visualizer-v2", "kernel_id": "71414689"}, {"ref": "gowrishankarp/czii-sam2-roi-extract-high-quality-masks", "kernel_id": "71709494"}, {"ref": "gowrishankarp/czii-data-preparation-8-16bit-png", "kernel_id": "71516571"}, {"ref": "sacuscreed/package-manager-issue", "kernel_id": "71186910"}, {"ref": "sacuscreed/czii-submission", "kernel_id": "71046391"}, {"ref": "kaggledummie007/czii-2d-slices-dataset", "kernel_id": "71811826"}, {"ref": "kyotaroh/private-lb-0-71-3d-unet-with-very-basic-things", "kernel_id": "71525032"}, {"ref": "ignasialemany/unet-dataug", "kernel_id": "71057000"}, {"ref": "ignasialemany/3dunet-inference", "kernel_id": "71926820"}, {"ref": "ignasialemany/3dunet-training-data-aug-0-55-public-score", "kernel_id": "71719498"}, {"ref": "paschalisdompoudis/eda-for-cryoet-competition", "kernel_id": "71966317"}, {"ref": "jeper4000/notebook-janedwinperez", "kernel_id": "71995757"}, {"ref": "linheshen/the-val-lb-only-0-8", "kernel_id": "71467054"}, {"ref": "guyue00/public-0-594", "kernel_id": "71950044"}, {"ref": "narareddy/protein-complex-location-detection", "kernel_id": "72735801"}, {"ref": "penningav/monai-3d-unet1", "kernel_id": "72177292"}, {"ref": "sersasj/simulated-data-and-labels-syntetic", "kernel_id": "72530272"}, {"ref": "sersasj/czii-making-datasets-for-yolo-synthetic-data", "kernel_id": "72912915"}, {"ref": "itsuki9180/czii-yolo11-submission-baseline", "kernel_id": "72354062"}, {"ref": "itsuki9180/czii-making-datasets-for-yolo", "kernel_id": "72346398"}, {"ref": "itsuki9180/czii-yolo11-training-baseline", "kernel_id": "72346950"}, {"ref": "itsuki9180/ultralytics-for-offline-install", "kernel_id": "72214306"}, {"ref": "jsharmz/ts-0-simulated-data-visualization", "kernel_id": "72403635"}, {"ref": "ollypowell/czii-eda-pre-process-training-crops", "kernel_id": "72529355"}, {"ref": "cafelatte1/czii-detr-starter", "kernel_id": "72557344"}, {"ref": "sacuscreed/czii-submission-2dto3d", "kernel_id": "72630846"}, {"ref": "drxc75/drxc75-czii24-nb19-synthetic-data-with-copick", "kernel_id": "72806489"}, {"ref": "personallyaa/testing-a-submission-4", "kernel_id": "72271635"}, {"ref": "davidlist/ts-0-simulated-data-visualization", "kernel_id": "72276534"}, {"ref": "davidlist/simulated-data-and-labels", "kernel_id": "72408633"}, {"ref": "vexos512/czii-cryoet-model-ds-zt", "kernel_id": "72865751"}, {"ref": "cescofran/czii-exploring-data-wip", "kernel_id": "72941590"}, {"ref": "yoshio13/3d-visualization-by-napari", "kernel_id": "72566787"}, {"ref": "yoshio13/very-easy-visualization", "kernel_id": "72314199"}, {"ref": "yoshio13/how-to-convert-json-to-segmentation-images", "kernel_id": "72383840"}, {"ref": "huynhhuukhangk16hcm/unet-1", "kernel_id": "72217219"}, {"ref": "linheshen/model-ensemble", "kernel_id": "72065386"}, {"ref": "matthieuouvrard/notebook07050911c6-iluminia", "kernel_id": "72882753"}, {"ref": "poonamrsaindane/create-dataset", "kernel_id": "72346397"}, {"ref": "guyue00/main-data", "kernel_id": "72246423"}, {"ref": "guyue00/make-add-data", "kernel_id": "72248997"}, {"ref": "guyue00/merge-data", "kernel_id": "72286531"}, {"ref": "guyue00/czii-making-datasets-for-yolo", "kernel_id": "72704713"}, {"ref": "ren4yu/czii-coordinate-eda", "kernel_id": "73730232"}, {"ref": "sersasj/czii-yolo11-submission-baseline-with-kdtree-update", "kernel_id": "73998162"}, {"ref": "ddimonte/save-segmentation-as-tensor-with-overlap", "kernel_id": "73118724"}, {"ref": "iamparadox/efficientnet-b7-2d-unet-training", "kernel_id": "73328750"}, {"ref": "akinosora/czii2024-library-auxiliary-notebook", "kernel_id": "73641309"}, {"ref": "liimaxime/faster-rcnn-model-training-czii", "kernel_id": "73783377"}, {"ref": "sacuscreed/translating-metric-into-a-loss", "kernel_id": "73694245"}, {"ref": "sacuscreed/czii-2d-to-3d-synthetic-data-pretraining", "kernel_id": "73963234"}, {"ref": "sacuscreed/czii-2d-train", "kernel_id": "73259851"}, {"ref": "kevink963/czii-cryoet-object-identification", "kernel_id": "73399276"}, {"ref": "junhanzangai/make-wheel", "kernel_id": "73983421"}, {"ref": "cescofran/explain-with-code-czii-making-datasets-for-yolo", "kernel_id": "73387159"}, {"ref": "yoshio13/pred-target-visualization-yolo-ver", "kernel_id": "73087141"}, {"ref": "vigneshwar472/3d-u-net-training", "kernel_id": "73529028"}, {"ref": "vigneshwar472/baseline-residualunetse3d-train-bugged", "kernel_id": "73625068"}, {"ref": "marlonperaltamendoza/cryoet-mlannotatormodel", "kernel_id": "73172322"}, {"ref": "wenhaolu49/wenhaonotorz", "kernel_id": "73339701"}, {"ref": "alanc52/czii-comp1234", "kernel_id": "73576049"}, {"ref": "linheshen/model-ensemble-dbscan", "kernel_id": "73317476"}, {"ref": "ryanwang2/czii-wewillfailschool", "kernel_id": "73394067"}, {"ref": "krishsingaria/cryoet-team-iit-mandi", "kernel_id": "73185848"}, {"ref": "liuyanfeng/czii-cryoet-kerascv-yolo-v8-predict-final", "kernel_id": "74737060"}, {"ref": "akshat0007/cryo-et-object-detection-segresnet-monai-gput4x2", "kernel_id": "74317540"}, {"ref": "hideyukizushi/czii-yolo11-unet3d-monai-lb-707", "kernel_id": "74717976"}, {"ref": "wadakoki/czii-gen-small-masks", "kernel_id": "74223792"}, {"ref": "nikitochkahrum/yolo11", "kernel_id": "74843048"}, {"ref": "sacuscreed/czii-2d-to-3d-homemade-data-training", "kernel_id": "74120581"}, {"ref": "davidlist/full-catalog-of-labeled-particles", "kernel_id": "74661847"}, {"ref": "esabellechen/czii-data-preprocess-3d-image", "kernel_id": "74981277"}, {"ref": "esabellechen/czii-unet-train", "kernel_id": "74843203"}, {"ref": "junhanzangai/submission-test", "kernel_id": "74440246"}, {"ref": "junhanzangai/czii-yolo11-training-baseline-synthetic-data", "kernel_id": "74327085"}, {"ref": "hmshadmantabib/deepfindet-inference", "kernel_id": "74624273"}, {"ref": "shadmantabib/sam-testing", "kernel_id": "74968744"}, {"ref": "shadmantabib/yolo-segres-shadman-tabib", "kernel_id": "74846154"}, {"ref": "anjalisingh065/czii-cyroet", "kernel_id": "74397054"}, {"ref": "zyh1104/czii-ultralytics-for-offline-install-yolo", "kernel_id": "74789473"}, {"ref": "zyh1104/czii-yolo11-original-synthetic-data-unet3d", "kernel_id": "74982636"}, {"ref": "greenflazh/czii-cryoet-ho", "kernel_id": "74835784"}, {"ref": "linheshen/esemble-2d-and-3d", "kernel_id": "74520911"}, {"ref": "obungu/czii-dataset-processing", "kernel_id": "74564556"}, {"ref": "mah20050/notebook-python-3", "kernel_id": "74699564"}, {"ref": "josefslavicek/k202411-czii-046b-from043-mincldist1-2", "kernel_id": "75818359"}, {"ref": "ren4yu/czii-tensorrt-convert-1", "kernel_id": "75463347"}, {"ref": "ren4yu/czii-ensemble-tensorrt-xy-stride-th", "kernel_id": "75928944"}, {"ref": "bloodaxe/v4-inference-notebook", "kernel_id": "75454649"}, {"ref": "niketanmoon/eda-cryo-electron-tomographic-data", "kernel_id": "75291974"}, {"ref": "connorjd/3dunet-submission-with-blob-filtering-73rd", "kernel_id": "75573331"}, {"ref": "youssefouertani/better-128-submit", "kernel_id": "75896701"}, {"ref": "stgkrtua/cziicompetition-measure-submission-time", "kernel_id": "75402916"}, {"ref": "sacuscreed/czii-realmask-2dto3d-synth", "kernel_id": "75361035"}, {"ref": "sacuscreed/czii-synth-denoiset", "kernel_id": "75322217"}, {"ref": "sacuscreed/czii-2dto3d-exp", "kernel_id": "75155754"}, {"ref": "sacuscreed/fork-of-czii-submission-2dto3d-82933e", "kernel_id": "75853440"}, {"ref": "prmukesh/one-time-zarr", "kernel_id": "75165113"}, {"ref": "esabellechen/czii-yolo-training", "kernel_id": "75969142"}, {"ref": "esabellechen/czii-unet-submit", "kernel_id": "75436562"}, {"ref": "sirapoabchaikunsaeng/simulated-data-and-labels-syntetic", "kernel_id": "75861169"}, {"ref": "junhanzangai/czii-cryo-s", "kernel_id": "75598299"}, {"ref": "wertanimehdi/deep-finder-128-90", "kernel_id": "75882738"}, {"ref": "wertanimehdi/deep-finder-128-80-seed", "kernel_id": "75783419"}, {"ref": "wertanimehdi/deepfinder-128", "kernel_id": "75613888"}, {"ref": "peilwang/czii-infer-multi-model", "kernel_id": "75541395"}, {"ref": "peilwang/czii-infer-fewer-models-and-extensive-tta", "kernel_id": "75572980"}, {"ref": "zyh1104/czii-yolo-original-synthetic-data-ensemble", "kernel_id": "75167685"}, {"ref": "zyh1104/czii-yolo11-unet3d-ensemble-tta", "kernel_id": "75115390"}, {"ref": "perdigao1/wmcsfb-grn-train", "kernel_id": "75345334"}, {"ref": "perdigao1/wmcsfb-grn-subm-inference", "kernel_id": "75409189"}, {"ref": "luoziqian/fork-of-fork-of-fork-of-7-model-6tta-t4x2-patch-no", "kernel_id": "75985570"}, {"ref": "luoziqian/fork-of-7-model-6tta-t4x2-patch-norm-v1-17a4b7", "kernel_id": "75990745"}, {"ref": "luoziqian/trt-sub-model-6tta-t4x2-patch-norm-v4", "kernel_id": "75884889"}, {"ref": "luoziqian/7-model-6tta-t4x2-patch-norm-v2", "kernel_id": "75806618"}, {"ref": "bagasjiwanta9/czii-cryo-s", "kernel_id": "75982232"}, {"ref": "minseokminnie8/01-28-yolo11-submission-day9", "kernel_id": "75465368"}, {"ref": "leegyuhwa/unet-blend-0-18-0-39-350", "kernel_id": "75983477"}, {"ref": "laodriverayu/more-than-baseline-unet-f-beta-metric-optuna", "kernel_id": "75093135"}, {"ref": "ezzeddineouertani/deepfinder-120-seed", "kernel_id": "75933932"}, {"ref": "josefslavicek/copy-of-best-submission-notebook", "kernel_id": "76259679"}, {"ref": "christofhenkel/cryo-et-1st-place-solution", "kernel_id": "76934736"}, {"ref": "kokikoba/7th-solution-inference", "kernel_id": "76927531"}, {"ref": "iamparadox/czii-final-sub-reproduce", "kernel_id": "76253119"}, {"ref": "wadakoki/czii-9th-inference", "kernel_id": "76190910"}, {"ref": "youssefouertani/inference-script", "kernel_id": "76642525"}, {"ref": "youssefouertani/train-script-42-90", "kernel_id": "76604384"}, {"ref": "youssefouertani/train-script-80-120", "kernel_id": "76605865"}, {"ref": "akinosora/czii2024-22nd-place-inference-code", "kernel_id": "76037462"}, {"ref": "sacuscreed/czii-2dto3d-ft", "kernel_id": "76037606"}, {"ref": "esabellechen/czii-submission-yolo", "kernel_id": "76043914"}, {"ref": "sirapoabchaikunsaeng/simulated-data-and-labels-syntetic-3-3", "kernel_id": "76314273"}, {"ref": "sirapoabchaikunsaeng/simulated-data-and-labels-syntetic-2-3", "kernel_id": "76314029"}, {"ref": "sirapoabchaikunsaeng/czii-final-sub-reproduce", "kernel_id": "76098337"}, {"ref": "jeroencottaar/czii-11th-place-solution", "kernel_id": "76256863"}, {"ref": "tomoon33/czii-submission-6th-place", "kernel_id": "76522245"}, {"ref": "jackcerullo/convolutional-variational-autoencover", "kernel_id": "76028746"}, {"ref": "linheshen/esemble-2d-and-3d-da4b0f", "kernel_id": "76038503"}, {"ref": "abayomiajiboye/cryot-object", "kernel_id": "77810457"}, {"ref": "mentong/offline-ultralytics", "kernel_id": "77492647"}, {"ref": "andrewjdarley/ultralytics-for-offline-install", "kernel_id": "77566946"}, {"ref": "hideyukizushi/ultralytics-offlineinstall-yolo12-weights", "kernel_id": "78437180"}, {"ref": "esabellechen/czii-visualization-ts-6-4", "kernel_id": "78936651"}, {"ref": "sharifi76/ultralytics-for-offline-install", "kernel_id": "78046269"}, {"ref": "liujiecool/czii-gen-small-masks", "kernel_id": "78761952"}, {"ref": "nataliecheong/cryoet-object-identification", "kernel_id": "79603812"}, {"ref": "arpit1bansal/fork-of-czii-cryo-v0", "kernel_id": "79042392"}, {"ref": "liujiecool/czii-lj-inference-spbu", "kernel_id": "79239272"}, {"ref": "sjlee101/ultralytics-8-3-109", "kernel_id": "80944705"}, {"ref": "anjalisingh065/ultralytics-for-offline-install-copy1", "kernel_id": "82696700"}, {"ref": "sendist/sample-2-s3-ag-train-35-tomograms", "kernel_id": "83154875"}, {"ref": "sendist/sample-2-s3-cbam-train-35-tomograms", "kernel_id": "83153921"}, {"ref": "sendist10/sample-2-s3-se-train-35-tomograms", "kernel_id": "83098820"}, {"ref": "sendist10/sample-2-s3-3dunet-train-35-tomograms", "kernel_id": "83106813"}, {"ref": "armanchaudhary/sahi-for-offline-install", "kernel_id": "83118410"}, {"ref": "sendist002/sample-2-s3-inference-se", "kernel_id": "83307969"}, {"ref": "saisanjanaprakash/cryoet-object-detection", "kernel_id": "97259591"}, {"ref": "sersasj/verify-dataportal-difference", "kernel_id": "103876660"}, {"ref": "sokhandan/notebook2b1762e427", "kernel_id": "129752290"}]}
{"competition_id": "84980", "kernels": []}
{"competition_id": "84995", "kernels": [{"ref": "abdelrahmanelshe1kh/titanic-using-decision-tree-100", "kernel_id": "80435348"}, {"ref": "mosammo/titanic-nti", "kernel_id": "80421433"}, {"ref": "hughchoi/titanic", "kernel_id": "89961502"}]}
{"competition_id": "85010", "kernels": [{"ref": "acchiko/eda-of-reservation-cancellation-dataset", "kernel_id": "65819234"}]}
{"competition_id": "85049", "kernels": []}
{"competition_id": "85055", "kernels": []}
{"competition_id": "85133", "kernels": []}
{"competition_id": "85146", "kernels": []}
{"competition_id": "85153", "kernels": []}
{"competition_id": "85175", "kernels": [{"ref": "technoflask/anish-mukherjee", "kernel_id": "65996990"}, {"ref": "innovisioncsercciit/starter-01", "kernel_id": "65899189"}]}
{"competition_id": "85178", "kernels": [{"ref": "timriggins/baselineagespredict", "kernel_id": "65773888"}, {"ref": "kirillklem/score-54-6-baseline-with-few-new-features", "kernel_id": "66256969"}]}
{"competition_id": "85192", "kernels": [{"ref": "linamardiana23523004/if5140-nim-nama-praktikum-2", "kernel_id": "65793103"}, {"ref": "praznaparamitha/solution-k1-praktikum-2", "kernel_id": "66002072"}, {"ref": "syahrul23524022/if5140-23524022-syahrul-praktikum-2", "kernel_id": "66043913"}]}
{"competition_id": "85210", "kernels": [{"ref": "muhammadnadhifn/2024-flame-ai-challenge-convlstm", "kernel_id": "66483321"}, {"ref": "thomasdubail/flame-2024-animation", "kernel_id": "66576696"}, {"ref": "thomasdubail/flame-2024-first-try", "kernel_id": "66658649"}, {"ref": "thomasdubail/2024-flame-second-try", "kernel_id": "66776271"}, {"ref": "jobayerhossain/flame-ai-training", "kernel_id": "66819847"}, {"ref": "akakii/flame-ai-2024-resnet", "kernel_id": "66728536"}, {"ref": "bassemakoush/starter-notebook", "kernel_id": "66398373"}, {"ref": "bassemakoush/generate-submission", "kernel_id": "66398484"}, {"ref": "amarahmedhamed/flame-ai-2024-cnn-lstm-model", "kernel_id": "66666809"}, {"ref": "marwanashref/flame", "kernel_id": "66786521"}, {"ref": "marchworks/2024-flame", "kernel_id": "67978990"}, {"ref": "thomasdubail/2024-flame-third-try-submission", "kernel_id": "67846559"}, {"ref": "mirzamilanfarabi/2024-flame-second-try", "kernel_id": "67197079"}, {"ref": "mirzamilanfarabi/flame-ai-2024-ensemble", "kernel_id": "67994720"}, {"ref": "jobayerhossain/flameai-inference", "kernel_id": "67059395"}, {"ref": "ankandebnath/2024-flame-ai-challenge", "kernel_id": "67079204"}, {"ref": "ucas0v0zhuoqunli/simple-evaluate-use-skimage", "kernel_id": "67186623"}, {"ref": "mikolajkloczewski/2024flame-lstm", "kernel_id": "67057481"}, {"ref": "sergioneres/autoencoder-vit", "kernel_id": "67266036"}, {"ref": "happykiter/flame-2024-lstm1d-dimless", "kernel_id": "67176522"}, {"ref": "happykiter/flame-2024-does-not-move", "kernel_id": "67156108"}, {"ref": "rajeshkarathiya12/flame-ai", "kernel_id": "67893725"}, {"ref": "ajayasaithambi/final-inference-2024-flame-ai", "kernel_id": "67906389"}, {"ref": "marchworks/submit-2024-flame", "kernel_id": "68019124"}, {"ref": "mirzamilanfarabi/fork-of-retrain-flame-c33400", "kernel_id": "68176278"}, {"ref": "mirzamilanfarabi/2024-flame-v3-0", "kernel_id": "68108562"}, {"ref": "jankowalski2000/3rd-place-solution-2024-flame-ai-challenge", "kernel_id": "68134790"}, {"ref": "thomasdubail/2024-flame-third-try-kernel-5", "kernel_id": "93118840"}, {"ref": "jenzenho/links-to-models-considered-in-the-publication", "kernel_id": "93032085"}, {"ref": "jenzenho/baseline-4fold-25epochs-ensemblerollout-otsu", "kernel_id": "112970090"}, {"ref": "jenzenho/flame-ai-2024-baseline-4fold-4xsmaller-otsu", "kernel_id": "112970211"}, {"ref": "jenzenho/flame-ai-2024-baseline-model", "kernel_id": "112968127"}, {"ref": "jenzenho/flame-ai-2024-baseline-with-otsu", "kernel_id": "112969307"}, {"ref": "jenzenho/flame-ai-2024-baseline-4fold", "kernel_id": "112969488"}]}
{"competition_id": "85224", "kernels": []}
{"competition_id": "85227", "kernels": []}
{"competition_id": "85240", "kernels": [{"ref": "kaushikpatriot/21f1001083-objectdetection-v1-ipynb", "kernel_id": "71618129"}, {"ref": "iitm21f1003825/21f1003825-n", "kernel_id": "71906811"}, {"ref": "mukeshonlines/21f1000350-week-10", "kernel_id": "72398895"}, {"ref": "bimleshkanth/week10-21f1005524-6", "kernel_id": "72342696"}, {"ref": "shivanshjain4/dlp-week-10", "kernel_id": "72391408"}, {"ref": "vigneshbabujs/notebook803a3cf780", "kernel_id": "72196763"}, {"ref": "priyadarshsingh/yolo-dlp", "kernel_id": "72130393"}, {"ref": "jaidevdeshpande/fcos-20-epochs", "kernel_id": "72362573"}, {"ref": "subhashreemano/final-notebook", "kernel_id": "72316847"}, {"ref": "arshikhan810/21f3002806-ga", "kernel_id": "72401966"}, {"ref": "anushka21f1003017/ga10-21f1003017", "kernel_id": "72388793"}, {"ref": "canisqmisra/21f1006627-w10-final", "kernel_id": "72396465"}, {"ref": "zonkumar/21f1004845", "kernel_id": "72379687"}, {"ref": "iitm21f1004056/21f1004056-ga10", "kernel_id": "72194102"}, {"ref": "iitm21f1005649/21f1005649-od", "kernel_id": "72051405"}, {"ref": "iitm21f1000641/21f1000641-w10", "kernel_id": "72181152"}, {"ref": "iitm21f2000280/dlp-object-detection-notebook-1", "kernel_id": "72190151"}, {"ref": "iitm21f1005727/21f1005727-week10", "kernel_id": "72392304"}, {"ref": "iitm21f1001767/final", "kernel_id": "72361676"}, {"ref": "iitm21f1006910/notebooka949db0758", "kernel_id": "72385331"}, {"ref": "ashutoshkumarbarnwal/notebookcc24cba525", "kernel_id": "72218746"}, {"ref": "iitm21f1006233/notebook12f814471c", "kernel_id": "72291261"}, {"ref": "iitm21f1001927/21f1001927", "kernel_id": "72378943"}, {"ref": "iitm21f1005919/notebook-w10", "kernel_id": "72088170"}, {"ref": "iitm21f1000235/ga10-draft1-21f1000235", "kernel_id": "72153657"}, {"ref": "iitmviveksrk/21f2000045", "kernel_id": "72387333"}, {"ref": "jallipalliphanikumar/21f3002478-week-10", "kernel_id": "72218248"}, {"ref": "himanshu2022/fcos-3-epochs", "kernel_id": "72400624"}, {"ref": "nidhikumari15/dlp-w10", "kernel_id": "72393144"}, {"ref": "gokulakrishnanbiitm/21f1006866-dlp-week-10", "kernel_id": "72324041"}]}
{"competition_id": "85257", "kernels": []}
{"competition_id": "85269", "kernels": []}
{"competition_id": "85274", "kernels": []}
{"competition_id": "85278", "kernels": []}
{"competition_id": "85280", "kernels": [{"ref": "tanguyesteoule/ensimag-trading-if-2024", "kernel_id": "65889573"}, {"ref": "ohmymykaggle/ensimag-trading-if-2024", "kernel_id": "66722682"}, {"ref": "taylorsamarel/remix-ensimag-trading-if-2024", "kernel_id": "88348264"}]}
{"competition_id": "85283", "kernels": []}
{"competition_id": "85285", "kernels": []}
{"competition_id": "85286", "kernels": []}
{"competition_id": "85304", "kernels": [{"ref": "azizjonbahromov/bank-customer-churn-prediction", "kernel_id": "78805300"}, {"ref": "sardorbektech/bank-mijozlari-stacking", "kernel_id": "78278520"}, {"ref": "murodovyusufbek/bank-forecast-prediction", "kernel_id": "78114283"}, {"ref": "boburabdullayev/notebook84427d23a1", "kernel_id": "78615584"}, {"ref": "makhmudov1602/bank-mijozlar", "kernel_id": "79434141"}, {"ref": "abduraaahim/loan-return-prediction", "kernel_id": "79737370"}, {"ref": "aabdurazzoq/abdurazzoq-customer-churn", "kernel_id": "80989212"}, {"ref": "zukhriddinm/notebook2e7bc6639a", "kernel_id": "80076383"}, {"ref": "xojamqulovabdulaziz/loan-return-pred", "kernel_id": "81492865"}, {"ref": "sidneyno1/bank-qarz-bashorat", "kernel_id": "81933652"}, {"ref": "alishermutalovshukur/loan-repayment-prediction", "kernel_id": "81288015"}, {"ref": "ruxshonasuyunova/customer-churn-pred", "kernel_id": "81693154"}, {"ref": "javlonbekshukurov/bank-customer-churn-prediction", "kernel_id": "81224114"}, {"ref": "chamanoysotvoldiyeva/costumerchurn-chamanoy", "kernel_id": "81605547"}, {"ref": "ikromorozov/ikrom-o-rozov-bank-customer-churn-prediction", "kernel_id": "82556093"}, {"ref": "qodirberganovasadbek/notebookd0e63ee8d3", "kernel_id": "82396777"}, {"ref": "asilbekjon/customer-churn", "kernel_id": "82821826"}, {"ref": "komronqayumov/customer-churn-prediction-for-banking-system", "kernel_id": "83454207"}, {"ref": "sherzodsulaymonov/bankga-mijozlarning-qarzni-qaytarishi", "kernel_id": "83086188"}, {"ref": "jamshidbekshokirov/jamshidbek", "kernel_id": "83291702"}, {"ref": "doniyortursunboyev/customer-churn", "kernel_id": "83795592"}, {"ref": "jurabekturaev/bankga-mijozlarning-qarzini-qaytarish-bashorati", "kernel_id": "83079834"}, {"ref": "ozodaizzatillaeva/notebook0c9db84963", "kernel_id": "85625447"}, {"ref": "dostonubaydullayev/bank-customer-churn-prediction", "kernel_id": "86476465"}, {"ref": "oybekburxonov/notebook1aea8623e2", "kernel_id": "86814984"}, {"ref": "muhammadmurodov/notebook403261b454", "kernel_id": "87854425"}, {"ref": "azamath1/bank-customur", "kernel_id": "87475304"}, {"ref": "shahruzsayfulloyev/customer-churn-bank", "kernel_id": "89311227"}, {"ref": "muslimmr/qarzni-qaytarish-prognozi", "kernel_id": "90436638"}, {"ref": "alijonovabdurahmon/bank-mijozlarini-bashorat-qilish", "kernel_id": "91508699"}, {"ref": "muhammadibrohimovai/bankga-mijozlarning-qarzini-qaytarish-prognozi", "kernel_id": "94234754"}, {"ref": "dostonbekmavlonov/bank-mijozlarining-qarzini-qaytarish", "kernel_id": "95528760"}, {"ref": "avazxonusmonov/bankmijozlarinisaralash", "kernel_id": "98786720"}, {"ref": "mutallibovgayratbek/bankga-qarzni-qaytarish-prognozi", "kernel_id": "98100985"}, {"ref": "fazliddinazizov/bank-mijozlarining-qarz-qayatarish", "kernel_id": "102542635"}, {"ref": "rasulbekqadamboyev/mohirdev-bank-mijozlari-notebook", "kernel_id": "104076210"}, {"ref": "abdumavlonkadirov/bank-vazifa", "kernel_id": "106716006"}, {"ref": "shohjaxon2007/bank-qarz205f625873", "kernel_id": "107307822"}, {"ref": "jozibaabdullayeva/notebookd03264e0af", "kernel_id": "107699093"}, {"ref": "javohirumarxonov/loan-repayment-prediction", "kernel_id": "109317006"}, {"ref": "dildoratoxtasinova/bank-customer-churn-prediction-amaliyot", "kernel_id": "110728840"}, {"ref": "akmalrasul/bank-kredit-ishi", "kernel_id": "111309123"}, {"ref": "saidakbarnematov/bank-churn", "kernel_id": "111299048"}, {"ref": "ulugbekarziqulov/bank-mijozlari-churn", "kernel_id": "111713642"}, {"ref": "shoxruzbek/bank-mijozlarining-kredit-qaytarish-ehtimolligi", "kernel_id": "111047845"}, {"ref": "anvarxudoyberdiyev/notebook81dcaa1d91", "kernel_id": "112173850"}, {"ref": "aybekjumashev/notebookb6b67b7c74", "kernel_id": "114464110"}, {"ref": "diyorislomov/bank-mijozlarining-kredit-qaytarish-ehtimollig", "kernel_id": "114829297"}, {"ref": "erkinjontulkinov/bank-customers-churn", "kernel_id": "117407022"}, {"ref": "snormatoff/bank-mijozlarining-qarzni-qaytarish-prognozii", "kernel_id": "118691693"}, {"ref": "jakhongir2021/notebookaa48a74d22", "kernel_id": "121413306"}, {"ref": "shakhobiddindanaev/qarzni-qaytarish-prognozi", "kernel_id": "122049223"}, {"ref": "neugomonii/notebook6ef275fac3", "kernel_id": "122282784"}, {"ref": "husanjonkamolov/customer-churn-husanjon-kamolov", "kernel_id": "127784471"}, {"ref": "beksarvar/mohirdev-prakticum-bank-mijoz", "kernel_id": "128254758"}, {"ref": "ardin7/bank-mijoz-binary-classification", "kernel_id": "129652101"}, {"ref": "dilshod991/bank-customer-churn-prediction", "kernel_id": "130437816"}, {"ref": "dilshodjon/bank-churn-bashorati", "kernel_id": "132002605"}, {"ref": "abduazizibragimov/bank-churn-prediction", "kernel_id": "132634521"}, {"ref": "azamatshormanov/azamat-shormanov", "kernel_id": "132285027"}, {"ref": "iskandarmirzahmedov/notebook7c203d9361", "kernel_id": "132047422"}, {"ref": "sarvarabduqodirov/bank-mijozlarining-qarzni-qaytarish-prognozi", "kernel_id": "134056667"}]}
{"competition_id": "85329", "kernels": [{"ref": "dingshijie/hw4-example-code", "kernel_id": "65930909"}, {"ref": "cac1214/hw4-edited-code", "kernel_id": "72289189"}, {"ref": "dingshijie/fork-of-hw4-example-code-8c8bc7", "kernel_id": "92530264"}]}
{"competition_id": "85339", "kernels": [{"ref": "paddy109034024/112034702", "kernel_id": "68683115"}]}
{"competition_id": "85340", "kernels": [{"ref": "matthiasneumller/test-notebook-181024", "kernel_id": "68033645"}, {"ref": "abhishekxsingh/crypto2", "kernel_id": "69047587"}, {"ref": "yashgupta638/notebook0ea7217a1a", "kernel_id": "69317184"}]}
{"competition_id": "85347", "kernels": []}
{"competition_id": "85349", "kernels": []}
{"competition_id": "85390", "kernels": [{"ref": "chrouos/ncu-ce6020-hw2-autoencoder-samplecode", "kernel_id": "66261235"}]}
{"competition_id": "85392", "kernels": []}
{"competition_id": "85397", "kernels": []}
{"competition_id": "85416", "kernels": [{"ref": "rishirajacharya/fine-tuning-gemma-2-for-bengali-poetry-generation", "kernel_id": "66914787"}, {"ref": "taimour/cultural-greetings-hello-gemma2-lora-keras", "kernel_id": "66875334"}, {"ref": "taimour/cultural-greetings-how-r-u-gemma2-lora-keras", "kernel_id": "66940354"}, {"ref": "paiky1995/fine-tuning-gemma-2-2b-for-english-to-hindi", "kernel_id": "66957907"}, {"ref": "mpwolke/global-communication-gemma2keras", "kernel_id": "66851209"}, {"ref": "mpwolke/lesya-ukrainka-gemma2keras", "kernel_id": "66941476"}, {"ref": "mpwolke/bhagavad-gita-gemma2keras", "kernel_id": "66914537"}, {"ref": "mpwolke/l-origine-de-la-g-om-trie-gemma2", "kernel_id": "66883769"}, {"ref": "sierra022/gemma2-datapreparation", "kernel_id": "66882970"}, {"ref": "fernandosr85/shieldgemma-web-content-safety-analyzer", "kernel_id": "66460409"}, {"ref": "hamzanabil/how-to-fine-tuning-gemma-for-spoken-language-tasks", "kernel_id": "66904705"}, {"ref": "defdet/adapting-gemma-to-russian-on-tpu", "kernel_id": "66851814"}, {"ref": "teachingmachine/eda-gemma-telugu-finetuning-kiranbeethoju-v2", "kernel_id": "66993510"}, {"ref": "eugeniokukes/distilling-dpo-dataset-from-gemmas", "kernel_id": "66965056"}, {"ref": "eugeniokukes/all-you-need-is-high-qualitity-datasets", "kernel_id": "66971850"}, {"ref": "bebechien/translator-of-old-korean-literature", "kernel_id": "66678214"}, {"ref": "bebechien/how-to-finetuning-gemma2-for-spoken-language-tasks", "kernel_id": "66683088"}, {"ref": "muhammaddawood42/global-communication-gemma2keras", "kernel_id": "66951565"}, {"ref": "madster22/notebookd95c16c352", "kernel_id": "66976264"}, {"ref": "ashutosh7/finetuning-gemma2-using-hf-hindi-translation", "kernel_id": "67482457"}, {"ref": "ashutosh7/finetuning-gemma-2-on-iitb-hindi-english-corpus", "kernel_id": "67281483"}, {"ref": "sounak1997/gemma-for-bengali", "kernel_id": "67076146"}, {"ref": "guru001/translator-of-tamil-thirukural-old-literature", "kernel_id": "67663979"}, {"ref": "mpwolke/yehuda-amichai-gemma2", "kernel_id": "67410787"}, {"ref": "mpwolke/hakuna-matata-ni-nini-gemma2-swahili", "kernel_id": "67330795"}, {"ref": "mpwolke/chinese-culture-gemma2keras", "kernel_id": "67170692"}, {"ref": "mpwolke/dante-s-inferno-gemma2-s-hell", "kernel_id": "67231110"}, {"ref": "mpwolke/books-by-their-covers-gemma2keras", "kernel_id": "67232946"}, {"ref": "mpwolke/freud-die-traumdeutung-mit-gemma2", "kernel_id": "67052826"}, {"ref": "mpwolke/genji-monogatari-gemma2-jpn", "kernel_id": "67008459"}, {"ref": "mpwolke/chinese-poetry-gemma2keras", "kernel_id": "67128244"}, {"ref": "mpwolke/a-lar-n-g-zbebekleri-gemma2keras", "kernel_id": "67124026"}, {"ref": "alejopaullier/theoden-the-old-english-gemma", "kernel_id": "67832719"}, {"ref": "whisperingkahuna/english-to-urdu-fine-tuning-gemma-2-2b", "kernel_id": "67191873"}, {"ref": "shiv314/finetune-for-honey-singh-raps", "kernel_id": "67725464"}, {"ref": "shaifchowdhury/bengali-lang-finetune", "kernel_id": "67587362"}, {"ref": "honganzhu/translator-of-traditional-chinese-poetry", "kernel_id": "67102460"}, {"ref": "woosungyoon/gemma2-practice-tarot", "kernel_id": "67038547"}, {"ref": "fernandosr85/gemma-pt", "kernel_id": "67106453"}, {"ref": "kuberbudhathoki/fine-tuning-gemma-2-for-nepali-poetry-generation", "kernel_id": "67873698"}, {"ref": "monarchuwu/translator-of-old-korean-literature", "kernel_id": "67205141"}, {"ref": "ghrangel/create-dataset-q-a-youtube-video", "kernel_id": "67099483"}, {"ref": "ghrangel/align-gemma-espa-ol-mexico", "kernel_id": "67058713"}, {"ref": "dnyaneshwalwadkar/mathematical-minds-fine-tuning-gemma-2-for-hindi", "kernel_id": "67100937"}, {"ref": "azraimohamad/finetuning-gemma2", "kernel_id": "67079005"}, {"ref": "skycreed/gemma-malayalam", "kernel_id": "67894677"}, {"ref": "sumit08/google-gemma", "kernel_id": "67531625"}, {"ref": "saidkoussi/fine-tune-gemma-models-in-keras-using-lora", "kernel_id": "67730605"}, {"ref": "arjunaaditiyaas/tamil-story-generation-in-gemma", "kernel_id": "67107935"}, {"ref": "eugeniokukes/multilingual-roleplay-dataset-generator", "kernel_id": "67242201"}, {"ref": "eugeniokukes/create-datasets-in-your-language-webscraping-llm", "kernel_id": "67035529"}, {"ref": "rizwanash/global-communication-gemma", "kernel_id": "67124543"}, {"ref": "jordanyoung993/multilingual-translation-fine-tune-via-bible", "kernel_id": "67281750"}, {"ref": "oussbhh/gemma-language-tuning", "kernel_id": "67817526"}, {"ref": "artificialgrape/mandarin-gemma-notebook", "kernel_id": "67899393"}, {"ref": "manavdarji18/gemma-model-train-in-marathi-language", "kernel_id": "67699971"}, {"ref": "ebadshabbir/salaryvsexpercince", "kernel_id": "67000373"}, {"ref": "elmaso/malinche-spanish-tuning-esen", "kernel_id": "68106641"}, {"ref": "vbookshelf/how-to-run-inference-on-gemma-2-9b-afrik-stories", "kernel_id": "68191347"}, {"ref": "vbookshelf/afrik-stories-gemma-2-9b-fine-tuned-afrikaans", "kernel_id": "68550086"}, {"ref": "viniciusbertotto/gemma-fine-tuning-and-inference", "kernel_id": "68215512"}, {"ref": "mpwolke/by-law-against-the-jungle-russian-mlsummarization", "kernel_id": "68173550"}, {"ref": "complexsimple/finetuning-gemma2", "kernel_id": "68227410"}, {"ref": "mos3santos/how-to-fine-tuning-gemma", "kernel_id": "68351445"}, {"ref": "maverickss26/fine-tune-gemma-2-for-sanskrit-language-generation", "kernel_id": "68999691"}, {"ref": "nawinrajkumars/gemma-finetuning-tamilalpaca", "kernel_id": "68725835"}, {"ref": "crsuthikshnkumar/google-gemma-unlock-hindi-cancer-qa-nb-crsk", "kernel_id": "68177465"}, {"ref": "prokaggler22/finetuning-gemma2-for-learning-sanskrit-words", "kernel_id": "68893573"}, {"ref": "stemosamaghandour/gemma-translator-ar-to-en-byosama-ghandour", "kernel_id": "68872316"}, {"ref": "eugeniokukes/multilingual-gemma-to-speech", "kernel_id": "68892784"}, {"ref": "eugeniokukes/multilingual-audio-podcast-generator-gemma-tts", "kernel_id": "68895002"}, {"ref": "miguelcamposgonzlez/align-gemma-espa-ol-mexico", "kernel_id": "68888510"}, {"ref": "rajashreepradhan/rs-google-unlock-global-communication-with-gemma", "kernel_id": "68019771"}, {"ref": "loria98/nlp-1", "kernel_id": "68392611"}, {"ref": "mahamadoumdiallo/notebook7de518fdc7", "kernel_id": "68882110"}, {"ref": "drj19461/gemma-dutch-numerals", "kernel_id": "69537292"}, {"ref": "subinek/understanding-gemma-finetuning-using-pytorch", "kernel_id": "69427179"}, {"ref": "yekenot/nordic-language-identification-with-llm", "kernel_id": "69736026"}, {"ref": "crischir/finetuning-gemma2-for-spoken-language-tasks", "kernel_id": "69998951"}, {"ref": "mpwolke/um-discurso-existencialista-com-gemma2", "kernel_id": "69268560"}, {"ref": "abishpius/gemma2-2b-tamil-bnb", "kernel_id": "69788456"}, {"ref": "jocelyndumlao/chat-suicidnikov-suicidal-game-blue-whale", "kernel_id": "69380520"}, {"ref": "singhjagpreet096/fine-tunning-gemma2-gurbanitext", "kernel_id": "69304154"}, {"ref": "puneetkoundal/fine-tuning-gemma2-for-hindi", "kernel_id": "69258316"}, {"ref": "tahaalselwii/fine-tuning-gemma-for-arabic-argemma", "kernel_id": "69781707"}, {"ref": "ititsam/by-multilingual-the-ingredient-is-safe-to-dog", "kernel_id": "69154345"}, {"ref": "ititsam/review-generator-2024nobel-prize-in-literature", "kernel_id": "69226012"}, {"ref": "ddenes/gemma-2-9b-hungarian-poetry", "kernel_id": "69771727"}, {"ref": "goldenfox2025/speak-like-confucius-with-gemma2-2b-ver-1-1", "kernel_id": "69811887"}, {"ref": "luiscarloseiras/gemma-2-para-um-dicion-rio-anal-gico-do-portugu-s", "kernel_id": "70349568"}, {"ref": "kagebunshin/helping-farmers-in-hindi", "kernel_id": "70714061"}, {"ref": "atamazian/example-of-gemma-2-armenian-alpaca-lora-usage", "kernel_id": "70342529"}, {"ref": "atamazian/gemma-2-armenian-alpaca-lora-llamaindex-rag", "kernel_id": "70615089"}, {"ref": "atamazian/gemma-2-training-lora-alpaca-armenian-on-tpu", "kernel_id": "70435908"}, {"ref": "rifat963/google-gemma-unlock-bangla-heritage-qa", "kernel_id": "70039778"}, {"ref": "crischir/fine-tune-gemma-models-in-keras-using-lora", "kernel_id": "70613102"}, {"ref": "crischir/tell-me-a-story-spune-mi-o-poveste-train", "kernel_id": "70707795"}, {"ref": "kieranjanin/farsi-gemma-2-a-walkthrough", "kernel_id": "70794586"}, {"ref": "anhchauquang/fine-tune-gemma-2-in-transformers-for-vietnamese", "kernel_id": "70143950"}, {"ref": "dktahuio/adapting-gemma-2-for-nom-script", "kernel_id": "70872224"}, {"ref": "denismunene/finetuning-gemma-with-swahili-data", "kernel_id": "70173527"}, {"ref": "denismunene/generating-swahili-language-data-with-gemini", "kernel_id": "70176416"}, {"ref": "timhackedit/gemma2-punjabi", "kernel_id": "70474350"}, {"ref": "timhackedit/gemma2-punjabi-text", "kernel_id": "70505057"}, {"ref": "nihalthomas15/bilingual-translation-english-malayalam", "kernel_id": "70104193"}, {"ref": "kbdharun/finetuning-gemma2-for-tamil-email-texts", "kernel_id": "70321034"}, {"ref": "swapanroy/fine-tuning-a-gemma-model-with-lora-for-hindi", "kernel_id": "71793516"}, {"ref": "subinek/gemma-malayalam-to-english-translation-using-coco", "kernel_id": "71556248"}, {"ref": "subinek/gemma-inferencing-with-pytorch", "kernel_id": "71191966"}, {"ref": "ratnesh88/translator-of-holy-gita-verses-hindi-gemma", "kernel_id": "71915023"}, {"ref": "genesisstorm/understanding-finetuning-gemma2-with-lora", "kernel_id": "71014240"}, {"ref": "xdarek/gemma2-fine-tuning-for-lithuanian", "kernel_id": "71391007"}, {"ref": "mihome/gemma2-japanese-fine-tuning-2b-jpn-it", "kernel_id": "71437838"}, {"ref": "cy4ego/fine-tune-gemma2-to-revive-joseon-s-korea-legacy", "kernel_id": "71943189"}, {"ref": "annadsjp/local-lora-fine-tuning-cpu-end-to-end-hf", "kernel_id": "71952028"}, {"ref": "bulubulu1204/gemma-2b", "kernel_id": "71100338"}, {"ref": "marydata/gemma2-kaggle-challenge", "kernel_id": "71078496"}, {"ref": "duohanwang/how-to-finetuning-gemma2-for-spoken-language-tasks", "kernel_id": "71895310"}, {"ref": "krizzna69/english-to-telugu-with-lora-gemma-2", "kernel_id": "71581853"}, {"ref": "hrjkhkhd/train-gemma2-9b-for-hindi-to-english-translation", "kernel_id": "71756311"}, {"ref": "barathanaslan/training-gemma-on-turkish-data-education-content", "kernel_id": "71826340"}, {"ref": "barathanaslan/training-gemma-on-turkish-sustainability-data", "kernel_id": "71827943"}, {"ref": "barathanaslan/training-gemma-on-turkish-data-agriculture", "kernel_id": "71269802"}, {"ref": "ashagv/multilingual-variant-of-gemma", "kernel_id": "71591183"}, {"ref": "alilaudza/adapting-gemma-2-for-chairil-anwar-s-poetic-legacy", "kernel_id": "71962758"}, {"ref": "mohamedramadan2040/notebook-arabic-egypt-moa7amed", "kernel_id": "71955636"}, {"ref": "revanthkumar3/fine-tune-gemma-for-multi-tasking-translation", "kernel_id": "71876123"}, {"ref": "henriquegoncalve/notebookd758d823b8", "kernel_id": "71726138"}, {"ref": "rhysie/gemma-2-for-american-english-crosswords", "kernel_id": "72440018"}, {"ref": "kumarandatascientist/hugging-face-model-english-to-tamil", "kernel_id": "72086732"}, {"ref": "kumarandatascientist/insurance-domain-related-queries-gemma-ml-v1-0", "kernel_id": "72371981"}, {"ref": "kumarandatascientist/space-research-cot-tot-prompt-gemma-2b-responses", "kernel_id": "72390918"}, {"ref": "samu2505/geminitranslationswahili", "kernel_id": "72505891"}, {"ref": "vtrudel/unlock-global-communication-for-french-ca", "kernel_id": "72354525"}, {"ref": "johnsonhk88/gemma2-hk-cantonese-riddles-generator", "kernel_id": "72574536"}, {"ref": "nullyousee/chinse-poetry", "kernel_id": "72537794"}, {"ref": "apropsys/gemma-2b-russian-language-model-by-vikhrmodels", "kernel_id": "72835555"}, {"ref": "cemalemrealbayrak/gemma-2-2b-qlora-turkish-fine-tuning-updated", "kernel_id": "72938710"}, {"ref": "johnmwadime/gemma-2-guide", "kernel_id": "72936876"}, {"ref": "gabormadarasz/astro-hu-gemma", "kernel_id": "72390460"}, {"ref": "shreeshabhat1004/test-sharing", "kernel_id": "72539131"}, {"ref": "shreeshabhat1004/finetuning-gemma-on-brain-rot-language-for-fun", "kernel_id": "72537577"}, {"ref": "rashimishra19/fine-tuning-gemma2-for-creative-writing-using-book", "kernel_id": "72837982"}, {"ref": "asadrazavirk/gemma2-punjabi", "kernel_id": "72940186"}, {"ref": "malikmuhammadahmed/fine-tuning-gemma-2-for-english-to-urdu-translatio", "kernel_id": "72503068"}, {"ref": "aanandaint/nepali-to-english-translation", "kernel_id": "72045158"}, {"ref": "xjesse/gemma-ch-eng-translation-fine-tune", "kernel_id": "72007036"}, {"ref": "jacktianyuli/finetuning-gemma2-for-chinese-reasoning", "kernel_id": "72663319"}, {"ref": "jintank/ft-gemma2-for-vietnamese", "kernel_id": "72990375"}, {"ref": "cheshrcat/gemma-fine-tuning-for-en-ru-medical-translations", "kernel_id": "73169414"}, {"ref": "optimo/kaira-adapting-gemma2-to-local-slang-french", "kernel_id": "73203365"}, {"ref": "jeevangyawali/finetuning-gemma2-for-nepali-language", "kernel_id": "73523258"}, {"ref": "zake7749/kyara-retrieval-augmentation-for-llm-fine-tuning", "kernel_id": "73898955"}, {"ref": "peterty/couplets-chinese-culture-inference", "kernel_id": "73742099"}, {"ref": "peterty/couplets-chinese-culture", "kernel_id": "73725048"}, {"ref": "kumarandatascientist/space-research-datasets-with-tot-cot-prompts", "kernel_id": "73822610"}, {"ref": "samu2505/finetunegemma-swahili", "kernel_id": "73526262"}, {"ref": "samu2505/gemmaswahili-uploadweights", "kernel_id": "73727199"}, {"ref": "mightyrains/bhagavad-gita-gemma2instructkeras", "kernel_id": "73753098"}, {"ref": "dretii/multitask-gemma2-agents-summarise-translate", "kernel_id": "73762269"}, {"ref": "rizdelhi/fine-tuning-gemma-2-9b-with-qlora-on-telugu-data", "kernel_id": "73630498"}, {"ref": "avishab97/gemma2-fine-tuned-hindi-translation-expert", "kernel_id": "73765753"}, {"ref": "iamleonie/fine-tuning-gemma-2-jpn-for-yomigana-with-lora", "kernel_id": "73329694"}, {"ref": "jeannkouagou/create-custom-dataset", "kernel_id": "73745125"}, {"ref": "mihome/gemma2-lora-gpu-fine-tuning-gemma2-2b-jpn-it", "kernel_id": "73925172"}, {"ref": "igorlashkov/gemma2-vllm-generate-summary", "kernel_id": "73501534"}, {"ref": "igorlashkov/poem-rhyme-synthesizer-gemma2", "kernel_id": "73916397"}, {"ref": "smartmanoj/gemma-separation-of-tamil-words", "kernel_id": "73035239"}, {"ref": "diversen/how-to-finetuning-gemma2-for-spoken-language-tasks", "kernel_id": "73537609"}, {"ref": "saharawaji/gemma-2-for-arabic", "kernel_id": "73033069"}, {"ref": "oleksandrarsentiev/ua-pl-medical-translation-with-gemma-2", "kernel_id": "73768514"}, {"ref": "amazingtiger/selection-and-generation-of-catalan-proverbs-based", "kernel_id": "73906369"}, {"ref": "aishikai/gugcg-bengali-gemma-alpaca-finetune", "kernel_id": "73390812"}, {"ref": "ansehen/lyric-gemma-2-one-song-different-stories", "kernel_id": "73818986"}, {"ref": "kietng/vietnamese-english-translator", "kernel_id": "73839719"}, {"ref": "nshravanreddy/gemma-english-telugu", "kernel_id": "73455381"}, {"ref": "prathmeshadsod/dataset-preparation-for-tones-fine-tuning", "kernel_id": "73571185"}, {"ref": "javohirtoshqorgonov/collect-own-language-dataset-from-the-internet", "kernel_id": "73737244"}, {"ref": "ayushmuley/training-gemma-2-2b-in-marathi-a-beginner-s-guide", "kernel_id": "73655833"}, {"ref": "bulubulu1204/gemma-to-translate-from-english-to-cantonese", "kernel_id": "73817805"}, {"ref": "tranvannhan1911/gemma-2-fine-tuning-to-translate-old-vietnamese", "kernel_id": "73992510"}, {"ref": "judith007/ancient-chinese-expert-gemma2-chatgpt", "kernel_id": "73819614"}, {"ref": "shreeshabhat1004/non-binary-inclusive-gemma-finetuning", "kernel_id": "73451886"}, {"ref": "shamiks/bengali-poem-writing-in-a-poet-s-style-gemma-7b", "kernel_id": "73201154"}, {"ref": "rutiru/finetuning-gemma2-in-japanese", "kernel_id": "73425629"}, {"ref": "eugeniokukes/baby-agi-gemma-2b-distiling-finetuning-on-cot", "kernel_id": "73833456"}, {"ref": "rashimishra19/gemma-2-finetune", "kernel_id": "73391375"}, {"ref": "victorumesiobi/how-to-fine-tune-gemma-2-for-advanced-reasoning", "kernel_id": "73985779"}, {"ref": "qmarva/red-russian-gemma-lora-hf", "kernel_id": "73098938"}, {"ref": "qmarva/wip-russian-jokes-lora-hf", "kernel_id": "73274901"}, {"ref": "imtridib/google-gemma-unlock-bangla-heritage-qa", "kernel_id": "73537029"}, {"ref": "kunalinfinite/gemma2-fine-tuning-on-quran-dataset", "kernel_id": "73466093"}, {"ref": "kunalinfinite/finetuning-gemma2-for-learning-sanskrit-words", "kernel_id": "73433361"}, {"ref": "kunalinfinite/fine-tuning-gemma-on-valmiki-ramayana", "kernel_id": "73438013"}, {"ref": "kunalinfinite/gemma2-fine-tuning-for-english-russian-translation", "kernel_id": "73883365"}, {"ref": "leondotle/gemma-2-2b-chinese-tang-poetry", "kernel_id": "73839061"}, {"ref": "anismarrouchi/test-fine-tuned-gemma-2-tunisia-qa-model", "kernel_id": "73445585"}, {"ref": "anismarrouchi/fine-tuning-gemma2keras-for-arabic-qa", "kernel_id": "73044614"}, {"ref": "kparthiban007/tamil-ai", "kernel_id": "73426927"}, {"ref": "hosseinbahraminekoo/instruction-tuning-gemma-2-for-persian", "kernel_id": "73453372"}, {"ref": "ashagv/multi-lingual-variant-of-gemma", "kernel_id": "73672392"}, {"ref": "bahaaltanreisolu/gemma-turkish-instruction-finetune-rag", "kernel_id": "73339661"}, {"ref": "tiyabk/gemma-multicultural-coocking-chief-usage", "kernel_id": "73476885"}, {"ref": "tiyabk/gemma-multicultural-coocking-chief-fine-tuning", "kernel_id": "73410528"}, {"ref": "mythereus/fine-tuning-gemma-2-for-political-turkish", "kernel_id": "73915412"}, {"ref": "hwkims/gemma2-2b-lora-ed-ai-hub-fine-tuning", "kernel_id": "73973486"}, {"ref": "wmh2002/gemma-2b-fine-tuning-on-explaining-chinese-poetry", "kernel_id": "73763463"}, {"ref": "jerry0723/fine-tuning-gemma2-to-understand-chinese-poems", "kernel_id": "73517638"}, {"ref": "mechallenge/multiculture-movie-plot-generator", "kernel_id": "74577528"}, {"ref": "optimo/kaira-gemma2-2b-it-inference", "kernel_id": "74084422"}, {"ref": "asunsada/inferenceafterfinetuning-modelc", "kernel_id": "74715552"}, {"ref": "asunsada/as-gemma-translator-of-english-to-spanish-eu2", "kernel_id": "74233725"}, {"ref": "lhagiimn/finetuned-gemma2-9b-math-reasoning-model-russian", "kernel_id": "74691007"}, {"ref": "kumarandatascientist/insurance-gemma-v2-0-simple-3-steps", "kernel_id": "74580938"}, {"ref": "inoueu1/gemma-2-reasoning-for-japanese-math", "kernel_id": "74689264"}, {"ref": "anakin87/post-training-gemma-for-italian-and-beyond", "kernel_id": "74684636"}, {"ref": "spacedoge/gemma-2-9b-kk-it-learning-to-translate-kazakh", "kernel_id": "74719317"}, {"ref": "spatil2017/bhagavad-gita-gemma-withkeras", "kernel_id": "74715054"}, {"ref": "vijayendrad/unsloth-gemma2-9b-4bit-hindichat", "kernel_id": "74300487"}, {"ref": "vijayendrad/hindichat-with-gemma2-0", "kernel_id": "74101294"}, {"ref": "alekh09/gemma2-fine-tuned-using-hindi-instruction-databas", "kernel_id": "74692809"}, {"ref": "munzirahangar/gemma-for-urdu-poetry-translation", "kernel_id": "74467402"}, {"ref": "satyaprakashswain/gemma-language-model-fine-tuning-note", "kernel_id": "74387024"}, {"ref": "satyaprakashswain/language-specific-adaptations-and-culture", "kernel_id": "74389091"}, {"ref": "samu2505/gemmaswahili-evaluation", "kernel_id": "74194756"}, {"ref": "jesuisdanielhj/multi-task-translator-phonology-fine-tuning-for", "kernel_id": "74558132"}, {"ref": "jesuisdanielhj/translator-of-ancient-chinese-literature", "kernel_id": "74554853"}, {"ref": "soloupis/gemma-2-2b-greek-trained", "kernel_id": "74528572"}, {"ref": "dedquoc/google-unlock-global-communication-with-gemma", "kernel_id": "74086675"}, {"ref": "alessiosavi/dialectgemma-unlock-any-dialect-leveraging-lemma", "kernel_id": "74688288"}, {"ref": "shyamtgr/bridging-linguistic-lineages", "kernel_id": "74273713"}, {"ref": "kirderf/swedish-language-adaptation-of-gemma-2-2bv2", "kernel_id": "74721082"}, {"ref": "jeannkouagou/unveiling-the-capabilities-of-gemma2-in-french", "kernel_id": "74393762"}, {"ref": "anhnguyenquoc/translating-interpreting-sinoviet-to-modernviet", "kernel_id": "74709614"}, {"ref": "junichiromorita/our-regional-cuisines-of-japan", "kernel_id": "74508961"}, {"ref": "abdullahabdelrhim/gemma2-for-inspiring-arabic-story-generation", "kernel_id": "74117663"}, {"ref": "shinnosukeuesaka/notebookc9fd09cc54", "kernel_id": "74719539"}, {"ref": "shamimahossain/contextual-banglish-financial-queries-evaluation", "kernel_id": "74229423"}, {"ref": "mayakaripel/native-malayalam", "kernel_id": "74188568"}, {"ref": "sethupavan12/gemmagaru-gemma2-for-telugu", "kernel_id": "74608924"}, {"ref": "udaken10/i-learned-japanese-from-akutagawa", "kernel_id": "74395968"}, {"ref": "udaken10/inference-i-learned-akutagawa", "kernel_id": "74454254"}, {"ref": "cy4ego/gemma2-how-to-use-a-trained-model", "kernel_id": "74662404"}, {"ref": "barunsaha/banalata-bengali-poetry-generator", "kernel_id": "74392935"}, {"ref": "diversen/whitman-train", "kernel_id": "74634282"}, {"ref": "alfaxadeyembe/introducing-gemma-2-swahili", "kernel_id": "74706034"}, {"ref": "markobozov/gemmafinnish", "kernel_id": "74718776"}, {"ref": "shanayaannav/gemma-2b-sft-on-urdu-poem-synt-data-param-tune", "kernel_id": "74751009"}, {"ref": "tajallaiqbal/finetunegemma2urdu", "kernel_id": "74543453"}, {"ref": "yosefwalemneh/finetune-gemma-2-2b-to-generate-amharic-poems", "kernel_id": "74296982"}, {"ref": "arnabkarsarkar/finetune-gemma-for-bengali-culture-and-history", "kernel_id": "74172976"}, {"ref": "thee5z/gemma-2b-sft-on-urdu-poem-synt-data-param-tune", "kernel_id": "74697670"}, {"ref": "saidineshpola/gemma-2-finetuning-on-telugu-news-mi-with-sae", "kernel_id": "74693737"}, {"ref": "seonokrkim/fine-tuning-gemma-2-with-lora-for-healthcare", "kernel_id": "74709591"}, {"ref": "lnshrivas/fine-tuning-gemma2-2b-for-hindi-hinglish", "kernel_id": "74633122"}, {"ref": "prathmeshadsod/impact-of-tones-on-historical-text", "kernel_id": "74635184"}, {"ref": "holimario/transform-gemma2-into-a-tang-dynasty-cyberpoet", "kernel_id": "74130158"}, {"ref": "stefanotrinchero/gemma-enlightened", "kernel_id": "74313245"}, {"ref": "javohirtoshqorgonov/translator-english-uzbek", "kernel_id": "74030172"}, {"ref": "williamalabi/lingogemrag", "kernel_id": "74705370"}, {"ref": "williamalabi/lingogem", "kernel_id": "74060205"}, {"ref": "williamalabi/inference-lingogem", "kernel_id": "74994623"}, {"ref": "rachmanilove/chinese-couplet-gemma2-w-novel-dataset", "kernel_id": "74685870"}, {"ref": "koohack/korean-ai-doctor-gemma2", "kernel_id": "74714581"}, {"ref": "mahmoudabdshafy/rising-arabic-from-the-ashes", "kernel_id": "74451007"}, {"ref": "fahedshadid/fine-tuning-gemma-2-al-hakawati", "kernel_id": "74716816"}, {"ref": "jaydee29/viraam-finetuning-gemma2-2b-it-for-hindi", "kernel_id": "74706545"}, {"ref": "maharnabsaikia/fine-tuning-gemma-2-with-lora-for-hindi", "kernel_id": "74146232"}, {"ref": "armanzhalgasbayev/kazakh-llm-based-on-gemma-2b-kz", "kernel_id": "74599716"}, {"ref": "mukmukmukmuk/the-annals-of-the-joseon-dynasty", "kernel_id": "74719487"}, {"ref": "orvalg/standardizing-spanglish-with-gemma-2", "kernel_id": "74175391"}, {"ref": "mohammedsaajid/fine-tuning-gemma-in-tamil-literature-domain", "kernel_id": "74070646"}, {"ref": "kennethalonso/gemma-2-2b-qlora-catalan-fine-tune", "kernel_id": "74522099"}, {"ref": "z4hiid/fine-tuning-gemma-2-for-bengali-math-problem-solve", "kernel_id": "74623653"}, {"ref": "itsabba3/finetune-gemma2-2b-unsloth-on-persian-texts", "kernel_id": "74564167"}, {"ref": "uchiwata/notebook10eab32678", "kernel_id": "74330377"}, {"ref": "wangqiyan/tang-dynasty-cyberpoet", "kernel_id": "74596603"}, {"ref": "bigfishdev/gemma-2b-it-fine-tuning-with-gemma-template", "kernel_id": "74061541"}, {"ref": "danielmendozac/linguatuner-fine-tuning-gemma-for-natural-spanish", "kernel_id": "74712883"}, {"ref": "mahabualahiatik/optimizing-gemma-2-for-english-to-bengali-translat", "kernel_id": "74055992"}, {"ref": "artificialgrape/understanding-mandarin-idioms", "kernel_id": "74165081"}, {"ref": "sreeharshasadhu/gemma-2-fine-tuning-english-to-kannada", "kernel_id": "74700586"}, {"ref": "aminemontasir/easy-finetuning-gemma-with-qlora-unsloth-on-darija", "kernel_id": "74777318"}, {"ref": "zahraajeddi/fine-tune-gemma2-for-shahname", "kernel_id": "74672885"}, {"ref": "zahraajeddi/keras-lora-fine-tune-for-persian-text", "kernel_id": "74106751"}, {"ref": "vikrantnarayan/gemma2-tamil-taco-translation-and-dialogue", "kernel_id": "74709751"}, {"ref": "trixmixing1ai/how-to-finetuning-gemma2-for-spoken-languag-650ae7", "kernel_id": "74663142"}, {"ref": "trixmixing1ai/exercise-model-validation", "kernel_id": "74775496"}, {"ref": "himalayamscs/fine-tuning-gemma-to-explain-sher-in-urdu", "kernel_id": "74636807"}, {"ref": "qibrandonwu/translating-classical-chinese-to-modern-chinese", "kernel_id": "74143104"}, {"ref": "tiyabk/sustainable-fashion-gemma2-2b-usage", "kernel_id": "74302309"}, {"ref": "tiyabk/sustainable-fashion-gemma-vertexai-fine-tune", "kernel_id": "74284052"}, {"ref": "tiyabk/sustainable-fashion-gemma-keras-fine-tuning", "kernel_id": "74079748"}, {"ref": "roosvanderjagt/notebook-global-communication-with-gemma", "kernel_id": "74515345"}, {"ref": "zeroeva/transform-gemma2-into-a-tang-dynasty-cyberpoet", "kernel_id": "74401731"}, {"ref": "hwkims/gemma2-for-korean-mental-wellbeing-inference-note", "kernel_id": "74654699"}, {"ref": "hwkims/notebook-korean-presidential-impeachment-scenari", "kernel_id": "74370622"}, {"ref": "hwkims/fork-of-gemma2-2b-lora-ed-ai-hub-fine-t", "kernel_id": "74990137"}, {"ref": "siddhantgupta011202/gemma-hindi-emotion-mt-mmlu", "kernel_id": "74708396"}, {"ref": "zhouy000/speak-like-luxun-with-gemma2", "kernel_id": "74044488"}, {"ref": "soheilfaridazar/pernews", "kernel_id": "74716543"}, {"ref": "zhangboring/gemma2-9b-qlora-finetuned-on-genshin-impact-posts", "kernel_id": "74707645"}, {"ref": "sonebody/fine-tuning-gemma2-9b-with-lora-and-dpo-rag-to-co", "kernel_id": "74053032"}, {"ref": "ll2000/versedgemma-unsloth-quick-test", "kernel_id": "74641193"}, {"ref": "ll2000/training-of-versedgemma-classical-chinese", "kernel_id": "74611684"}, {"ref": "vedant7312/gemma2-vtv1", "kernel_id": "74263216"}, {"ref": "hwkims/fork-of-gemma2-for-korean-mental-wellbeing-infere", "kernel_id": "76343383"}, {"ref": "zhang608/llamafactory-webui", "kernel_id": "79132276"}, {"ref": "mrinaeliseus/gemma-2-swahili", "kernel_id": "93156307"}, {"ref": "bougouza/accident-data-analysis-notebook", "kernel_id": "97589720"}, {"ref": "balamuruga2252/how-to-finetuning-gemma2-for-spoken-language-tasks", "kernel_id": "98314951"}, {"ref": "daltongabrielomondi/wakala-wa-lingua-franka-gemma2-swahili", "kernel_id": "124694041"}]}
{"competition_id": "85421", "kernels": [{"ref": "mrkupo/podcasting", "kernel_id": "67230925"}]}
{"competition_id": "85429", "kernels": []}
{"competition_id": "85430", "kernels": [{"ref": "ncminhhiu/hanoi-cyberguardians-challenge-1-submission-test", "kernel_id": "69894431"}, {"ref": "ceriknguyen/mock-foundational-level-challenge-1", "kernel_id": "69991917"}, {"ref": "cbh778899/test-notebook-submission", "kernel_id": "69281308"}, {"ref": "dinhdat/hanoi-cyberguardians-challenge-1", "kernel_id": "70157710"}, {"ref": "dinhchan/notebookbd2175674b", "kernel_id": "70086194"}, {"ref": "alainevo/sgs-dahp-mock-challenge-3-submission-ipynb", "kernel_id": "70033470"}]}
{"competition_id": "85432", "kernels": []}
{"competition_id": "85433", "kernels": [{"ref": "praznaparamitha/k2-introduction", "kernel_id": "66104736"}]}
{"competition_id": "85462", "kernels": []}
{"competition_id": "85480", "kernels": [{"ref": "praznaparamithaavi/solution-k2-praktikum-ii", "kernel_id": "66353005"}, {"ref": "praznaparamitha/nama-nim-praktikum-2", "kernel_id": "66149981"}, {"ref": "hamasfakhrurrozi/hamas-23520432-praktikum-2", "kernel_id": "66170543"}, {"ref": "amir23524017/solution-k2-praktikum-ii", "kernel_id": "66553536"}]}
{"competition_id": "85488", "kernels": []}
{"competition_id": "85501", "kernels": [{"ref": "muneeza3/titanic-dataset-prediction", "kernel_id": "71012381"}]}
{"competition_id": "85506", "kernels": [{"ref": "shrutisaxena/isec-data-challenge-eda-analysis", "kernel_id": "66575436"}]}
{"competition_id": "85517", "kernels": [{"ref": "kushagratemp/notebook992402d223", "kernel_id": "67271095"}, {"ref": "abhijeetc2804/col774-a3-v1", "kernel_id": "70610229"}, {"ref": "deathstr0ak/resnet9", "kernel_id": "71906984"}]}
{"competition_id": "85540", "kernels": [{"ref": "robertjirsaraie/applyembeddings", "kernel_id": "66907072"}, {"ref": "robertjirsaraie/submitguide", "kernel_id": "66898361"}, {"ref": "dantingzeng/prompts-from-images", "kernel_id": "68599815"}, {"ref": "jeffheaton/basic-xgboost-deeplearning", "kernel_id": "69742932"}, {"ref": "dantingzeng/vlm-entire", "kernel_id": "69071620"}, {"ref": "kaiyisung/house-value-prediction-wustl", "kernel_id": "71414636"}]}
{"competition_id": "85542", "kernels": [{"ref": "robertjirsaraie/submissionguide", "kernel_id": "66857526"}, {"ref": "robertjirsaraie/text-to-embeddings-conversion", "kernel_id": "68377166"}, {"ref": "jeffheaton/basic-xgboost-genai", "kernel_id": "69574859"}]}
{"competition_id": "85570", "kernels": []}
{"competition_id": "85594", "kernels": [{"ref": "jihoonkwon/baseline-for-task-1-with-official-github", "kernel_id": "66721946"}, {"ref": "jihoonkwon/ndcg-5", "kernel_id": "66368813"}, {"ref": "pandalikematcha/sample-submission-quick-check", "kernel_id": "69736168"}, {"ref": "fonocolince/rag-projet", "kernel_id": "88222426"}, {"ref": "ssurya1696/financebench-character-vs-recursive-textsplitter", "kernel_id": "94011890"}, {"ref": "sdeogade/financerag", "kernel_id": "116881957"}, {"ref": "bocchist/acm-icaif-24-financerag-challenge", "kernel_id": "129019749"}]}
{"competition_id": "85596", "kernels": [{"ref": "zvincent/ieee-v2", "kernel_id": "66947055"}, {"ref": "zvincent/ieee-sub1-db94", "kernel_id": "68041210"}]}
{"competition_id": "85609", "kernels": []}
{"competition_id": "85622", "kernels": []}
{"competition_id": "85636", "kernels": []}
{"competition_id": "85676", "kernels": []}
{"competition_id": "85723", "kernels": [{"ref": "trixmixing1ai/exercise-your-first-machine-learning-model", "kernel_id": "72964319"}, {"ref": "vensunmode/eda-sticker-sales", "kernel_id": "73994348"}, {"ref": "jankuper192/eda-in-3-min-with-gwalk-r-tableau", "kernel_id": "73914162"}, {"ref": "cv13j0/forecasting-sticker-sales-using-extreme-trees", "kernel_id": "73916086"}, {"ref": "sidcodegg/eda-country-residuals-time-series-split-lgbm", "kernel_id": "73895985"}, {"ref": "sidcodegg/linearmodel-keep-it-simple-silly", "kernel_id": "73942072"}, {"ref": "kumarandatascientist/testing-ensemble-meta-hybrid-12", "kernel_id": "73973987"}, {"ref": "arnogils/s5e1-extensive-eda-simple-model", "kernel_id": "73945344"}, {"ref": "nnjjpp/play-5-1-eda-and-date-processing", "kernel_id": "73965320"}, {"ref": "mathewtrivett/firstcompetition-scikitlearnonly", "kernel_id": "73908431"}, {"ref": "docxian/ps-s5-e01-sticker-sales-eda-naive-model", "kernel_id": "73898648"}, {"ref": "docxian/ps-s5-e01-sticker-sales-autogluonts", "kernel_id": "73938354"}, {"ref": "oscarm524/ps-s5-ep1-eda-modeling-submission", "kernel_id": "73904970"}, {"ref": "makrrc/forecasting-sticker-sales", "kernel_id": "73883860"}, {"ref": "stpeteishii/sticker-sales-predict-visualize-importance", "kernel_id": "73941026"}, {"ref": "mpwolke/stickers-for-less-on-kaggle-mart", "kernel_id": "73905756"}, {"ref": "massimilianofronza/forecasting-sticker-sales", "kernel_id": "73951339"}, {"ref": "fredpelogia/kps-s5e1-keras-rnn-fred-pelogia", "kernel_id": "73958208"}, {"ref": "wguesdon/ps-s5-e01-autogluon", "kernel_id": "73912101"}, {"ref": "wguesdon/sales-forecasting-with-llm-lgbm-lr", "kernel_id": "73881556"}, {"ref": "devsubhash/analyzing-sales-in-6-countries-forecasting", "kernel_id": "73932538"}, {"ref": "kdmitrie/pgs501-model-1-time-series-decomposition", "kernel_id": "73916488"}, {"ref": "kdmitrie/pgs501-initial-questions-and-answers", "kernel_id": "73893806"}, {"ref": "ganeshstemx/ps-s5e1-forecasting-sticker-sales-001", "kernel_id": "73899204"}, {"ref": "yeonseokcho/sticker-sales-forecast-prophet", "kernel_id": "73897918"}, {"ref": "cabaxiom/s5e1-eda-and-linear-regression-baseline", "kernel_id": "73908203"}, {"ref": "daniil19189/stikers-sales-catboost-lightgbm-xgboost", "kernel_id": "73986027"}, {"ref": "daniil19189/stikers-sales-eda-cat-boost-draft", "kernel_id": "73983700"}, {"ref": "shashwatpatel/catboost-starter-notebook", "kernel_id": "73912051"}, {"ref": "robertmumford/eda-for-sticker-sales", "kernel_id": "73903990"}, {"ref": "yeoyunsianggeremie/ps5e1-check-missing-groups", "kernel_id": "73886091"}, {"ref": "omkarchoulwar/sticker-sales-forecasting", "kernel_id": "73914552"}, {"ref": "thomasmeiner/sfe1-stickers-with-a-few-lines-of-code", "kernel_id": "73889905"}, {"ref": "jeffreeman/basic-dataset-optimization", "kernel_id": "73938281"}, {"ref": "skipjack24/sticker-sales", "kernel_id": "73939875"}, {"ref": "jaepin/forecasting-sticker-sales-xgb-lgbm", "kernel_id": "73887282"}, {"ref": "jimgruman/sticker-time", "kernel_id": "73883664"}, {"ref": "paulineac1122/forecasting-sales-using-time-features-eda", "kernel_id": "73974753"}, {"ref": "satyaprakashshukl/sticker-sales-forecasting", "kernel_id": "73950844"}, {"ref": "ravi20076/playgrounds5e01-public-baseline-v1", "kernel_id": "73884408"}, {"ref": "ravi20076/playgrounds5e01-public-imports-v1", "kernel_id": "73884513"}, {"ref": "cantcode/forecasting-sticker-sales", "kernel_id": "73915478"}, {"ref": "rv1922/sticker-sales-forecasting-eda-insights", "kernel_id": "73884999"}, {"ref": "rv1922/s5e1-sticker-sales-automl-0-1492", "kernel_id": "73950730"}, {"ref": "onurkoc83/time-based-cross-validation", "kernel_id": "73883848"}, {"ref": "mariusborel/light-forecast-on-sticker-sales", "kernel_id": "73974377"}, {"ref": "mariusborel/sticker-sales-eda-with-r", "kernel_id": "73882011"}, {"ref": "mariusborel/forecasting-sticker-sales", "kernel_id": "73881746"}, {"ref": "ryrlwakala/forecastingstickersales", "kernel_id": "73930079"}, {"ref": "khoatran311/yearly-and-weekly-seasonality-in-playground", "kernel_id": "73918510"}, {"ref": "manindersingh1997/stickers-eda-regression", "kernel_id": "73958704"}, {"ref": "masayakawamata/some-experiments-s5e1", "kernel_id": "73987470"}, {"ref": "a3amat02/xgboost-optuna", "kernel_id": "73937824"}, {"ref": "francescoliveras/ps-s5-e1-eda-model-en-es", "kernel_id": "73982177"}, {"ref": "arikojohnaa/sticker-sales-forecast", "kernel_id": "73890773"}, {"ref": "pranjali1121/stickersale", "kernel_id": "73963356"}, {"ref": "lucasdataartist/eda-forecasting-sticker-sales", "kernel_id": "73888845"}, {"ref": "syednazmussakib/baseline-v1-ps5-e1", "kernel_id": "73895630"}, {"ref": "vishnupriyagarige/forecasting-sticker-sales", "kernel_id": "73881539"}, {"ref": "yunsuxiaozi/pss5e1-yunbase", "kernel_id": "73941067"}, {"ref": "gyogyocat/5-1-baseline-gbm-cat", "kernel_id": "73881565"}, {"ref": "abeshith/sticker-sales", "kernel_id": "73979697"}, {"ref": "edacelikeloglu/forecasting-sticker-sales-my-version", "kernel_id": "73929863"}, {"ref": "darkdevil18/0-05664-s5e1-predicting-sticker-sales", "kernel_id": "73933978"}, {"ref": "alkidiarete/tune-xgb-sticker", "kernel_id": "73883742"}, {"ref": "alkidiarete/h2o-ai-sticker", "kernel_id": "73972009"}, {"ref": "abdulrahmanmohammed1/simple-starter-notebook", "kernel_id": "73905313"}, {"ref": "subarnasaikia/sticker-and-learning-ml", "kernel_id": "73911137"}, {"ref": "fredericnicholson/sticky-fingers", "kernel_id": "73960308"}, {"ref": "aayushiweb/forecasting-sticker-sales", "kernel_id": "73900147"}, {"ref": "commentsm/forcasting-sticker-sales", "kernel_id": "73908433"}, {"ref": "demonicak/stickersalesregression-ak", "kernel_id": "73899948"}, {"ref": "curtiscoding1/s5e1-baseline", "kernel_id": "73908712"}, {"ref": "curtiscoding1/s5e1-baseline-v2-no-tuning-just-feature-eng", "kernel_id": "73941549"}, {"ref": "curtiscoding1/simple-walk-forward-validation", "kernel_id": "73991749"}, {"ref": "betularslan0/subm-ss-on1", "kernel_id": "73935251"}, {"ref": "younusmohamed/38-01-eda-and-preprocessing-for-beginners-xgboost", "kernel_id": "73983147"}, {"ref": "renykhan/stickers-starter-baseline-xgb-lgbm", "kernel_id": "73884167"}, {"ref": "renykhan/sfe1-stickers-eda-and-analysis", "kernel_id": "73911292"}, {"ref": "sangcheolhan/s5e1-hsc", "kernel_id": "73918452"}, {"ref": "buzziru/forecasting-sticker-sales-baseline-model-lgbm", "kernel_id": "73912698"}, {"ref": "mochimuchicha/forecast-sales-lightgbm-xgboost-catboost", "kernel_id": "73881975"}, {"ref": "kingkcabir/sticker-sales", "kernel_id": "73939460"}, {"ref": "zyh1104/sticker-sales-analyze-groupkf", "kernel_id": "73929683"}, {"ref": "roqayyeh/sticker-sales-eda", "kernel_id": "73939935"}, {"ref": "abdmental01/lgbm-single-model", "kernel_id": "73913007"}, {"ref": "abdmental01/abdbase-forecasting-sticker", "kernel_id": "73914867"}, {"ref": "danishmubashar/eda-lightgbm-optuna", "kernel_id": "73886636"}, {"ref": "muhumuzadeusai/sticker-sales-forecast", "kernel_id": "73889139"}, {"ref": "sawitkoseeyaumporn/forecasting-sticker-sales-xgb-lgb-optuna", "kernel_id": "73886036"}, {"ref": "muhammadfurqan0/ps5e1-tracking-sales-by-product-and-country", "kernel_id": "73891416"}, {"ref": "sunnyvarnawal/s5ps1-eda-model", "kernel_id": "73883876"}, {"ref": "yteshima/ps5s1-ipywidgets-seaborn-gbdts", "kernel_id": "73902111"}, {"ref": "jameslee01/eda-various-regression-models-0-13", "kernel_id": "73904533"}, {"ref": "shahzaibmalik44/forecasting-sticker-sales-tenserflow", "kernel_id": "73913709"}, {"ref": "shahzaibmalik44/forecasting-sticker-py-torch", "kernel_id": "73960400"}, {"ref": "iwways/stickervision-predicting-trends-that-stick", "kernel_id": "73895497"}, {"ref": "quantum09/how-many-will-i-sell-ps5e1", "kernel_id": "73921215"}, {"ref": "ahmedsamir1598/ps5e1-semi-supervised-0-12-eda-fe-lgbm", "kernel_id": "73881940"}, {"ref": "tkchiba/xgboost", "kernel_id": "73939194"}, {"ref": "rotbrot/s5eps1", "kernel_id": "73922393"}, {"ref": "soumodipchandra/stickersales-finding-best-hyperparameters-xgb-lgbm", "kernel_id": "73910284"}, {"ref": "endingshostler/sticker-sales-initial", "kernel_id": "73882545"}, {"ref": "hassanmehmood413/advanced-eda-ml-predictions", "kernel_id": "73958679"}, {"ref": "elasgustavoknaus/time-series-reg-macroeconomic-data-holidays", "kernel_id": "73956009"}, {"ref": "axes671/simple-prediction-lgbm-cb-xgb", "kernel_id": "73883549"}, {"ref": "minyanghan/forecasting-sticker-sales", "kernel_id": "73939505"}, {"ref": "jiaoyouzhang/fss-lightgbm-holidays-fitter", "kernel_id": "73882650"}, {"ref": "zongaobian/forecasting-sticker-sales-lgbm-tutorial", "kernel_id": "73920914"}, {"ref": "rohanvidhate/beginner-friendly-lgbm", "kernel_id": "73903139"}, {"ref": "moridata/time-series-forecasting-sticker-score-0-08151", "kernel_id": "73987535"}, {"ref": "emreatilgan/exploratory-data-analysis-notebook", "kernel_id": "73953791"}, {"ref": "hanzeruiooo/forecasting-sticker-sales", "kernel_id": "73932778"}, {"ref": "fzfzfzz/simple-sell-multiplier-feature-xgb", "kernel_id": "73928877"}, {"ref": "abhixshek2000/gradient-boosted-trees-regressor-without-time", "kernel_id": "73897809"}, {"ref": "westernnigarsultana/forecasting-sticker-sales", "kernel_id": "73905829"}, {"ref": "sarathchandrakaja/notebookfe0fe70646", "kernel_id": "73977833"}, {"ref": "jjm316/sticker-eda", "kernel_id": "73933231"}, {"ref": "tilakgovind/python-basic-code-int-float-complex", "kernel_id": "73810366"}, {"ref": "olaflundstrom/forecasting-sticker-sales-bed-rftigen-v2", "kernel_id": "73894679"}, {"ref": "olaflundstrom/forecasting-sticker-sales", "kernel_id": "73888223"}, {"ref": "olaflundstrom/fork-of-forecasting-sticker-sales", "kernel_id": "73888867"}, {"ref": "brianedwards/missing-values-in-time-series", "kernel_id": "74832286"}, {"ref": "brianedwards/forecasting-sticker-sales-2", "kernel_id": "74807608"}, {"ref": "davidalvarezpons/ps-s5e01-forecasting-sticker-sales", "kernel_id": "74059258"}, {"ref": "ragia11/notebook56d7c9173a", "kernel_id": "74417685"}, {"ref": "sun9sun9/imputing-missing-values-in-num-sold-in-train-set", "kernel_id": "74862449"}, {"ref": "chris36/forecasting-stickers-sales", "kernel_id": "74923748"}, {"ref": "ravitee/playgrounds5e01-public-eda-v1", "kernel_id": "74519991"}, {"ref": "charlottetu/lstm-forecasting-sticker-sales", "kernel_id": "74279476"}, {"ref": "kumarandatascientist/multi-hyper-blended-with-major-voting-viz-v1-0", "kernel_id": "74760049"}, {"ref": "kumarandatascientist/hyper-metamodel-stack-blend-scaling-version-1", "kernel_id": "74325407"}, {"ref": "kumarandatascientist/plot-and-find-patterns-to-improve-post-process-ml", "kernel_id": "74315480"}, {"ref": "kumarandatascientist/stacking-and-blending-v1", "kernel_id": "74317159"}, {"ref": "kumarandatascientist/hyper-scaling-and-hyper-blending-together", "kernel_id": "74190659"}, {"ref": "kumarandatascientist/forecasting-data-from-2010-reach-0-5663-no-model", "kernel_id": "74068556"}, {"ref": "kumarandatascientist/top-1-in-sticker-sales-forecasting-reach-0-05634", "kernel_id": "74122976"}, {"ref": "kumarandatascientist/just-explore-blending-to-reach-top-1-0-05634", "kernel_id": "74106613"}, {"ref": "ianchute/stickers-5-minute-model", "kernel_id": "74894349"}, {"ref": "nnjjpp/play-5-1-two-variable-baseline-30s-model", "kernel_id": "74030154"}, {"ref": "karimmmaher1/unsupervised-learning", "kernel_id": "74881631"}, {"ref": "karimmmaher1/randomforestregressor-predictions", "kernel_id": "74879616"}, {"ref": "yzokulu/catboostregressor", "kernel_id": "74107379"}, {"ref": "ikarus99/ps5e1-arima-draft", "kernel_id": "74598327"}, {"ref": "plavak10/forecasting-sticker-sales", "kernel_id": "74012905"}, {"ref": "aashutosh786/simple-lgbm", "kernel_id": "74624063"}, {"ref": "spshreya/demand-forecasting-stickers", "kernel_id": "74774722"}, {"ref": "bohdanpas/stickers", "kernel_id": "74173445"}, {"ref": "nush05/sticker-sales-forecasting-using-catboost-regressor", "kernel_id": "74608066"}, {"ref": "tcspecialist/holidays-made-simple", "kernel_id": "74066335"}, {"ref": "wguesdon/llm-automated-eda-and-baseline", "kernel_id": "74422671"}, {"ref": "wguesdon/time-based-expanding-window-cv", "kernel_id": "74022759"}, {"ref": "dalabis/forecasting-sticker-sales-eda", "kernel_id": "74143822"}, {"ref": "rafaelbandoni/linreg-feature-eng-forecasting-sticker-sales", "kernel_id": "74295487"}, {"ref": "aishwaryasharma1992/ps5-e1-dumb-lgbm-prediction", "kernel_id": "74091574"}, {"ref": "kdmitrie/different-gdp-from-different-data-sources", "kernel_id": "74299598"}, {"ref": "cabaxiom/s5e1-previous-years-baseline-no-model", "kernel_id": "74063930"}, {"ref": "samcohen11/xgboost-gpu", "kernel_id": "74922609"}, {"ref": "hopesb/sticker-forcast", "kernel_id": "74208581"}, {"ref": "michelblazevic/preprocessing-forecasting-sticker-sales", "kernel_id": "74046720"}, {"ref": "itskumar/forecasting-sticker-sales", "kernel_id": "74586130"}, {"ref": "tracyporter/play-5-1-et-time-series", "kernel_id": "74997163"}, {"ref": "tracyporter/play-5-1-linreg", "kernel_id": "74942698"}, {"ref": "tracyporter/play-5-1-linreg-standardise", "kernel_id": "74962750"}, {"ref": "tracyporter/play-5-1-et", "kernel_id": "74963062"}, {"ref": "debobratadutta/forecasting-sticker-sales-rf-xbg-lgbm-mape-0-13", "kernel_id": "74181747"}, {"ref": "chinmayadatt/0-04824-time-series-model-lgbm-for-forecasting", "kernel_id": "74892068"}, {"ref": "zhukovoleksiy/ps5-e1-eda-time-based-cross-validation", "kernel_id": "74185378"}, {"ref": "venkatkalakkad/vk-forecaststickersales", "kernel_id": "74923970"}, {"ref": "ttbrosltd/sticker-sold-eda-simple-model", "kernel_id": "74235521"}, {"ref": "thierryneusius/2025s5e01-prophet-with-gdp", "kernel_id": "74150076"}, {"ref": "samithsachidanandan/predicting-sticker-sales-xgb-cat-lgb", "kernel_id": "74858620"}, {"ref": "samithsachidanandan/forecasting-sticker-sales", "kernel_id": "74671672"}, {"ref": "jeremyhaakenson/moving-average-in-r", "kernel_id": "74071439"}, {"ref": "mmarkie2/forecastingstickersales-pipeline-lgb-catboost", "kernel_id": "74329008"}, {"ref": "valentinemwai/forecasting-sticker-sales-eda-catboost-xgboost", "kernel_id": "74213718"}, {"ref": "fedorkurushin/prophet-for-sticker-data", "kernel_id": "74509415"}, {"ref": "fedorkurushin/simple-eda-on-stickers-dataset", "kernel_id": "74055636"}, {"ref": "hoale2908/forecasting-sticker-sales-2", "kernel_id": "74507586"}, {"ref": "hoale2908/forecasting-sticker-sales-eda-preprocessing", "kernel_id": "74248106"}, {"ref": "singhjd/forecasting-sticker-sales", "kernel_id": "74485610"}, {"ref": "sourabh2001/xgboost-with-hyperparameter", "kernel_id": "74347338"}, {"ref": "rashidrk/exploring-kans-v2-0-14887-lb", "kernel_id": "74771769"}, {"ref": "rashidrk/can-kan-kolmgorov-arnold-nets-handle-time-series", "kernel_id": "74549824"}, {"ref": "rashidrk/starter-autogluon", "kernel_id": "74014015"}, {"ref": "abdulrahmanitman/forecasting-sales-using-gru", "kernel_id": "74362653"}, {"ref": "crisleyoliveira/regression-model-forecasting-sticker-sales", "kernel_id": "74006066"}, {"ref": "act18l/linearregression-subtract-bias-makes-lb-0-054", "kernel_id": "74369945"}, {"ref": "act18l/which-kfold-is-better", "kernel_id": "74726780"}, {"ref": "act18l/eda-and-using-previous-ratio-as-prediction", "kernel_id": "74574165"}, {"ref": "ankandebnath/forecasting-sticker-sales", "kernel_id": "74868443"}, {"ref": "satyaprakashshukl/lstm-forecasting", "kernel_id": "74898697"}, {"ref": "omidsakaki1370/sticker-sales-eda-forecasting", "kernel_id": "74203830"}, {"ref": "hosseinbehjat/time-series-hybrid-model-pss5e1", "kernel_id": "74990614"}, {"ref": "jvachier/forecast-sales", "kernel_id": "74635464"}, {"ref": "sentienttrapezoid/sticker-sales-and-grouped-time-series", "kernel_id": "74555243"}, {"ref": "hamzabinbutt/nn-num-sold", "kernel_id": "74484935"}, {"ref": "hamzabinbutt/forecastingstcikersales", "kernel_id": "74518531"}, {"ref": "shivanshuthapliyal/forecasting-sticker-sales-model-v1-0", "kernel_id": "74133001"}, {"ref": "muhriddinmalik/forecasting-sticker-sales-notebook", "kernel_id": "74690217"}, {"ref": "klyushnik/forecasting-0-14-mape", "kernel_id": "74319544"}, {"ref": "neonboy19/sticker-forecasting", "kernel_id": "74121136"}, {"ref": "rv1922/optuna-tuned-xgboost-sticker-sales-forecasting", "kernel_id": "74443652"}, {"ref": "rv1922/linear-regression-meets-lgbm-xgb-cat", "kernel_id": "74506475"}, {"ref": "rv1922/sticker-price-secrets-insights-with-lgbm", "kernel_id": "74006326"}, {"ref": "rv1922/mape-powered-forecasting-catboost-s-sticker", "kernel_id": "74162636"}, {"ref": "hafidabelayd/forecast-sticker-sales-across-different-countries", "kernel_id": "74867423"}, {"ref": "burcakaydn/forecasting-sticker-sales", "kernel_id": "74016143"}, {"ref": "agordeev/fss-lstm", "kernel_id": "74329573"}, {"ref": "afinar/notebook7c8e9efcde", "kernel_id": "74954275"}, {"ref": "fuweiche/forecastingstickersales", "kernel_id": "74511432"}, {"ref": "husnashamlik/sticker-sales-forecasting-optuna-mape-0-0496", "kernel_id": "74957903"}, {"ref": "srinivasta/sticker-sales-1", "kernel_id": "74583617"}, {"ref": "iantgcampbell/ps-s05e01-eda-model", "kernel_id": "74975247"}, {"ref": "endlesssstory/forecasting-sticker-sales-lgbm-k-fold-optuna", "kernel_id": "74652029"}, {"ref": "vaibhavjha49/stickersales-kagg-vaibhav", "kernel_id": "74749362"}, {"ref": "ilhammalik11/comp-kaggle-sticker-reg-pred", "kernel_id": "74071105"}, {"ref": "yaminh/pss5e1-automl-lgb-gru-lstm-xgb-0-05314", "kernel_id": "74293382"}, {"ref": "blackdragonk333/forecasting-sticker-sales-playground-5-01", "kernel_id": "74430478"}, {"ref": "ahmedmohamed2003/forecasting-stickers-sales", "kernel_id": "74923675"}, {"ref": "kavishchaudhary1003/playground-s5-e1-gru", "kernel_id": "74332655"}, {"ref": "natchaphonkamhaeng/pg-s5-e01-forecast-sticker-sales", "kernel_id": "74226816"}, {"ref": "ricky5932/simple-ft-transformer", "kernel_id": "74997733"}, {"ref": "cankszolu/tensorflow-optuna-pre-cleaned-data", "kernel_id": "74223360"}, {"ref": "cankszolu/feature-transformation-cleaning", "kernel_id": "74058972"}, {"ref": "cankszolu/decision-tree-regressor-optuna-bucketization", "kernel_id": "74408601"}, {"ref": "irfanarisani/tabnet-in-forecasting-sticker", "kernel_id": "74164379"}, {"ref": "syednazmussakib/xgboost", "kernel_id": "74243509"}, {"ref": "syednazmussakib/automl-again", "kernel_id": "74232160"}, {"ref": "aadhafun/pss5e1-eda", "kernel_id": "74612622"}, {"ref": "gallo33henrique/ps5e1-sticker-sales-arima-sarima-rnn", "kernel_id": "74241982"}, {"ref": "gallo33henrique/ps5e1-sticker-sales-ensemble-xgboost-lightgbm", "kernel_id": "74013277"}, {"ref": "tanishkpatil/eda-for-time-series-analysis", "kernel_id": "74808543"}, {"ref": "tanishkpatil/sticker-sales-analysis", "kernel_id": "74165356"}, {"ref": "ignasialemany/sales-forecasting-with-llm-lgbm-lr", "kernel_id": "74760362"}, {"ref": "jasanineha/forecasting-sticker-sales", "kernel_id": "74351172"}, {"ref": "jagjeetsingh23/sticker-regession-problem", "kernel_id": "74076902"}, {"ref": "utkarshx27/forecasting-sticker-sales-stacking-regressor", "kernel_id": "74192477"}, {"ref": "anmol111pal/forecasting-sticker-sales", "kernel_id": "74899526"}, {"ref": "rousenghak/correlation-between-gdp-per-capita-and-target", "kernel_id": "74154090"}, {"ref": "snehalkhandewale/how-much-is-the-sale-w-o-dropping-missing-values", "kernel_id": "74046210"}, {"ref": "sonualexantony/forecasting-sticker-sales-competition", "kernel_id": "74913811"}, {"ref": "leonardohurley/previs-o-de-vendas-de-adesivos", "kernel_id": "74576981"}, {"ref": "iluyza/notebook363d5dab81", "kernel_id": "74332104"}, {"ref": "slimeee8888/xgb-with-ratios", "kernel_id": "74015027"}, {"ref": "sturarods/forecast-w-xgbregressor-mape-8-09", "kernel_id": "74106617"}, {"ref": "alberttazetdinov/notebookb06ce741d3", "kernel_id": "74520085"}, {"ref": "huthayfahodeb/lstm-cnn-for-time-series-forecasting", "kernel_id": "74163268"}, {"ref": "adnankahveci/sticker-sales-prediction-with-multi-model-lgbm", "kernel_id": "74216924"}, {"ref": "viviansam/forecasting-sticker-sales", "kernel_id": "74983770"}, {"ref": "ranzeet013/sticker-sells-predictions", "kernel_id": "74587568"}, {"ref": "iitm21f1005671/notebookskr4", "kernel_id": "74994154"}, {"ref": "fredericnicholson/time-bandits-autogluon-time-series", "kernel_id": "74620385"}, {"ref": "xiejinfeng5/forecasting-sticker-sales-catboost-xgb-lgbm", "kernel_id": "74909142"}, {"ref": "shvays/notebook42", "kernel_id": "74774566"}, {"ref": "aayushiweb/sticker-sales-forecasting", "kernel_id": "74316367"}, {"ref": "paologarimberti/forecast-sticker-sales", "kernel_id": "74800414"}, {"ref": "lmanojsai/sales-forecasting-beginner-friendly", "kernel_id": "74039720"}, {"ref": "scb486/forcasting-sticker-sales-eda-forecasting", "kernel_id": "74840180"}, {"ref": "niketasengar/sticker-sales-forecast-lightgbm-optuna", "kernel_id": "74102099"}, {"ref": "yashpetare/sticker-sales", "kernel_id": "74904368"}, {"ref": "curtiscoding1/linear-reg-model-analysis-walk-forward-val", "kernel_id": "74051364"}, {"ref": "renykhan/exploring-lag-features-and-time-based-cv", "kernel_id": "74460612"}, {"ref": "sczhuoffical/s-c-zhu-s5e1-faml", "kernel_id": "74696925"}, {"ref": "sczhuoffical/s-c-zhu-s5e1-faml-new", "kernel_id": "74987939"}, {"ref": "victortennis/0-14089-sticker-sales-pure-linear-regression", "kernel_id": "74869899"}, {"ref": "subramanyashenoy/s05e01-ipynb", "kernel_id": "74159043"}, {"ref": "mabhusubhani/sales-forecasting-with-lightgbm-optuna", "kernel_id": "74283228"}, {"ref": "mabhusubhani/salesforecasting-using-catboost", "kernel_id": "74324467"}, {"ref": "ogulcancck/forecasting-eda-lin-regression-catboost", "kernel_id": "74883017"}, {"ref": "danuherath/sales-forecasting-time-series-analysis", "kernel_id": "74048279"}, {"ref": "mikhailnaumov/forecasting-sticker-sales-ensemble", "kernel_id": "74012477"}, {"ref": "kamilpospiech/1-stickers-1-0", "kernel_id": "74636778"}, {"ref": "kamilpospiech/1-stickers-2-0", "kernel_id": "74823534"}, {"ref": "reetinder/prediction-using-xgboost", "kernel_id": "74690186"}, {"ref": "swekerr/forecasting-sales-xgboost-baseline", "kernel_id": "74431496"}, {"ref": "zyh1104/sticker-sales-validation", "kernel_id": "74665372"}, {"ref": "zyh1104/sticker-sales-feature-engineering", "kernel_id": "74025274"}, {"ref": "zyh1104/sticker-sales-external-data", "kernel_id": "74785251"}, {"ref": "zyh1104/sticker-sales-nn", "kernel_id": "74996630"}, {"ref": "roqayyeh/sticker-sales-catboostreg", "kernel_id": "74151101"}, {"ref": "pieroalonso77/forecastingstickersale", "kernel_id": "74303602"}, {"ref": "daniilnxy/forecast-eda-prophet-lightautoml-raytune", "kernel_id": "74828631"}, {"ref": "abdmental01/abdbase-xgb", "kernel_id": "74919810"}, {"ref": "jhchin2/lgbm-pred-sales", "kernel_id": "74120578"}, {"ref": "koustav426/forecasting-sticker-sales", "kernel_id": "74699200"}, {"ref": "mridulchdry17/s5e1-begineer", "kernel_id": "74411365"}, {"ref": "abdullah0a/optuna-tuning-sticker-sales-forecasting", "kernel_id": "74054120"}, {"ref": "electromarine/comp-1-forecasting-sticker-sales-2", "kernel_id": "74071161"}, {"ref": "kadircandrisolu/multi-objective-hyperparameter-optimization", "kernel_id": "74519415"}, {"ref": "filipalovri/simple-short-ensemble-solution-lgbm-xgb-rf", "kernel_id": "74974486"}, {"ref": "gongjako/gongjacode250113", "kernel_id": "74155827"}, {"ref": "aritzll22/sticker-sales-usefull-plots-to-gain-insights", "kernel_id": "74886147"}, {"ref": "arpitamallik23/forecasting-sticker-sales", "kernel_id": "74529144"}, {"ref": "burakgurhan/forecasting-sticker-sales", "kernel_id": "74333797"}, {"ref": "lakshaykahai/forecasting-sticker-sales", "kernel_id": "74951396"}, {"ref": "ismaileladraoui/lstm-gru-time-series-magic-always-on", "kernel_id": "74302259"}, {"ref": "sauravdas07/sticker-sales-regression-model", "kernel_id": "74440201"}, {"ref": "jesusveiga/lstm-sticker-sales", "kernel_id": "74018407"}, {"ref": "kinshukgaurav/sticker-forecasting-with-random-forest-and-lstm", "kernel_id": "74053951"}, {"ref": "atefemahdaviadel/sticker", "kernel_id": "74234111"}, {"ref": "rajagrawal7089/notebook97a1ad601a", "kernel_id": "74849717"}, {"ref": "sasinduchanakapiumal/sticker-sales-random-forest-dec-tree-xgboost", "kernel_id": "74791318"}, {"ref": "sasinduchanakapiumal/sticker-sales-lgbm", "kernel_id": "74995799"}, {"ref": "reshmaramdasnalage/unlocking-sales-insights-time-series-forecasting", "kernel_id": "74029146"}, {"ref": "a5hvin/lightgbm-model-with-score-0-57808", "kernel_id": "74168091"}, {"ref": "rajrohityadav/stacked-model", "kernel_id": "74899645"}, {"ref": "cartoonistbeard/s5e1-lb-0-12067", "kernel_id": "74397360"}, {"ref": "metinhsimimi/forecasting-sticker-sales", "kernel_id": "74058717"}, {"ref": "devaanshpuri/forecasting-sticker-sales-simple-and-easy", "kernel_id": "74508949"}, {"ref": "mrkupo/sticker-playground", "kernel_id": "74774682"}, {"ref": "andreagobbez/forecasting-sticker-sales-5-1", "kernel_id": "74876599"}, {"ref": "maximlaletin/sticker-sale-forecast-with-xgboost-linear", "kernel_id": "74683935"}, {"ref": "vktsyp/forecasting-sticker-sales-pivot-table-0-07159", "kernel_id": "74100309"}, {"ref": "harshitsrivastava25/sticker-sales-prediction", "kernel_id": "74707664"}, {"ref": "shreyasraghav/advance-cross-validation", "kernel_id": "74261243"}, {"ref": "shreyasraghav/sales-prediction-using-lgbmregressor", "kernel_id": "74160039"}, {"ref": "hamzatulma/sale-prediction-with-regression", "kernel_id": "74058662"}, {"ref": "ravesandstorm/sticker-sales-xgbregressor", "kernel_id": "74977670"}, {"ref": "mohamedbassat/stickers-for-sale", "kernel_id": "74288105"}, {"ref": "rayyahaqqani/sticker-sales-forecasting", "kernel_id": "74681980"}, {"ref": "clemencetravers/s5e1-xgboost", "kernel_id": "74973978"}, {"ref": "clemencetravers/s5e1-rf", "kernel_id": "74912058"}, {"ref": "mehmettellioglu/least-complicated-code-forked", "kernel_id": "74700470"}, {"ref": "fdavidsantillan/forecasting-sticker-sales", "kernel_id": "74457275"}, {"ref": "samarthpujari/kaggle-sticker-sales", "kernel_id": "74221544"}, {"ref": "jipwulffele/forcasting-sales-with-multioutput-linearregression", "kernel_id": "74614492"}, {"ref": "dianalionel/forecasting-sticker-sales-score-0-17", "kernel_id": "74391375"}, {"ref": "arnav111raj/lgbm-model-sticker-sale", "kernel_id": "74005346"}, {"ref": "yadokari/eda-baseline-validation-design", "kernel_id": "74088033"}, {"ref": "birunthabanrajendram/ps-s05e01", "kernel_id": "74796365"}, {"ref": "hamchicchi/sticker-sales-first-try-lgbm-polars", "kernel_id": "74505915"}, {"ref": "yashsahu02/forecasting-sticker-sales", "kernel_id": "74990366"}, {"ref": "jeromejerry/project1-forecasting-sticker-sales", "kernel_id": "74860867"}, {"ref": "raj110/global-sticker-sales-predictor", "kernel_id": "74997837"}, {"ref": "marwanashref/transformer-forecast-model", "kernel_id": "74802468"}, {"ref": "eraakash/lgbm-forecasting-sticker-sales", "kernel_id": "74819800"}, {"ref": "miosznowicki/knai-stickers", "kernel_id": "74911259"}, {"ref": "zongaobian/s5e1-time-series-and-ridge-regression-tutorial", "kernel_id": "74927154"}, {"ref": "dash198/notebooke1ca06b155", "kernel_id": "74193125"}, {"ref": "musahkaya/stickersale-forecasting-lgbm", "kernel_id": "74149090"}, {"ref": "jannatpham/kaggle-sticker-sales-prediction", "kernel_id": "74713023"}, {"ref": "bobrya/lightgbm-optuna", "kernel_id": "74090202"}, {"ref": "alinteodorbratu/selling-with-xgboost", "kernel_id": "74099594"}, {"ref": "alimuratsargl/sales-analysis-and-prediction", "kernel_id": "74334876"}, {"ref": "lianalotarets/forecasting-sticker-sales", "kernel_id": "74482717"}, {"ref": "wafaaalayoubi/stickermodel", "kernel_id": "74264991"}, {"ref": "berkereryilmaz/forecasting-sticker-sales-light-gbm", "kernel_id": "74153112"}, {"ref": "yousefkhalil0/forecasting-sticker-sales-prediction-94", "kernel_id": "74552441"}, {"ref": "yousefkhalil0/analysis", "kernel_id": "74552748"}, {"ref": "arinvashisth2004/regressionattack", "kernel_id": "74157877"}, {"ref": "sungwank/forecasting-using-gru", "kernel_id": "74421192"}, {"ref": "nuzhattabassummedha/sticker-sales", "kernel_id": "74319912"}, {"ref": "afsaryankon/lgbm-simple-regression", "kernel_id": "74004152"}, {"ref": "zhengchuang/bo-lstm-and-bo-gru", "kernel_id": "74337129"}, {"ref": "quezaltendes/notebookea3743d988", "kernel_id": "74630957"}, {"ref": "armaanpreet123/notebookff1b49720f", "kernel_id": "74914189"}, {"ref": "armaanpreet123/notebookee9950412f", "kernel_id": "74914236"}, {"ref": "rgontijof/sticker-sale-prediction", "kernel_id": "74065595"}, {"ref": "rishiiiiii0099/forecasting-sticker-sales-using-lgbm-randomforest", "kernel_id": "74444493"}, {"ref": "rishiiiiii0099/forecasting-sticker-sales-eda", "kernel_id": "74375023"}, {"ref": "gannadzyuban/forecasting-sticker-sales", "kernel_id": "74017181"}, {"ref": "ganeshuniyal/forecasting-sticker-sales-using-xgboost", "kernel_id": "74222348"}, {"ref": "jaysurender/notebookf09c6fc16c", "kernel_id": "74024364"}, {"ref": "shuto210/xgboost", "kernel_id": "74036921"}, {"ref": "olaflundstrom/forecasting-sticker-sales-project-bed-rftigen", "kernel_id": "74007862"}, {"ref": "roushanraj17/notebook38ff969be0", "kernel_id": "74623770"}, {"ref": "narsil/knai-2025-01-20-sticker-sales", "kernel_id": "75017810"}, {"ref": "menanick/time-series-cross-validation-a-beginners-guide", "kernel_id": "75023504"}, {"ref": "kumarandatascientist/forecast-sales-better-lb-score-less-than-0-05115", "kernel_id": "75048964"}, {"ref": "kumarandatascientist/0-05022-sales-forecast-better-lb-score", "kernel_id": "75034626"}, {"ref": "wangyong101/tidymodels-tsibble-topdown-forecast-manually", "kernel_id": "75489964"}, {"ref": "wjones3668/forecasting-sticker-sales", "kernel_id": "75095473"}, {"ref": "cdeotte/6th-place-add-holidays-lb-0-046", "kernel_id": "75690222"}, {"ref": "cdeotte/transformer-starter-lb-0-052", "kernel_id": "75229713"}, {"ref": "cdeotte/wavenet-starter-lb-0-08207", "kernel_id": "75103057"}, {"ref": "obiaf88/a-hybrid-model-for-sticker-forecasting", "kernel_id": "75587963"}, {"ref": "priyanshutuli/sticker-sales-forecasting-notebook", "kernel_id": "75668907"}, {"ref": "visitnehaverma/predict-sales-eda-various-regression-methods", "kernel_id": "75196923"}, {"ref": "stpeteishii/sticker-sales-lgbm-w-optuna", "kernel_id": "75594111"}, {"ref": "swagician/tps-what-works-what-doesn-t-imputation-lgbm", "kernel_id": "75105463"}, {"ref": "ebagirov/season-5-1-playground", "kernel_id": "75201825"}, {"ref": "wguesdon/sticker-sales-pytorch", "kernel_id": "75056366"}, {"ref": "akioonodera/ps5-01-regression", "kernel_id": "75546539"}, {"ref": "kdmitrie/pgs501-3rd-place-solution", "kernel_id": "75628806"}, {"ref": "kdmitrie/pg501-tutorial-for-dealing-with-fourier-features", "kernel_id": "75472808"}, {"ref": "kdmitrie/pgs501-separate-countries-without-data-drop", "kernel_id": "75214927"}, {"ref": "kdmitrie/pg501-model-2-decomposition-country-doy-factor", "kernel_id": "75093633"}, {"ref": "georgekoussa/forecasting-sticker-sales-1st-place-solution", "kernel_id": "75702361"}, {"ref": "samcohen11/lstm-gpu", "kernel_id": "75030049"}, {"ref": "josephmartnez/sticker-sales-2025-regression", "kernel_id": "75370661"}, {"ref": "yeoyunsianggeremie/ps5e1-11th-place-solution", "kernel_id": "75690934"}, {"ref": "anshsheravia/stickerforecastrfmodel", "kernel_id": "75882654"}, {"ref": "josephnehrenz/regression-s5e1-lightgbm-sales-forecast-in-r", "kernel_id": "75684474"}, {"ref": "amiralisahraei/kaggle-competition", "kernel_id": "75476358"}, {"ref": "deadpool13/lgbm-xgb-sticker-sales-forecast", "kernel_id": "75507861"}, {"ref": "jocelyndumlao/sticker-sales-forecast-2025-mape-evaluation", "kernel_id": "75372317"}, {"ref": "bhavikjikadara/forecasting-sticker-sales-lightgbm", "kernel_id": "75508569"}, {"ref": "artempanush/forecasting-sticker-sales-dilemma", "kernel_id": "75612766"}, {"ref": "karishmabattina/sticker-sales", "kernel_id": "75625094"}, {"ref": "rashidrk/keep-it-simple-pytorch-lightning", "kernel_id": "75214237"}, {"ref": "act18l/hill-climbing-for-ensembling-baseline", "kernel_id": "75052344"}, {"ref": "act18l/no-model-of-fft", "kernel_id": "75328937"}, {"ref": "act18l/convnet-starter-lb-0-052", "kernel_id": "75399890"}, {"ref": "satyaprakashshukl/h20-forecasting-sticker-analysis", "kernel_id": "75230057"}, {"ref": "rohitsinghbani/sticker-sales-forecasting", "kernel_id": "75779638"}, {"ref": "fizzabatool9/sticker-forecasting-xgb-regression", "kernel_id": "75402543"}, {"ref": "fizzabatool9/sticker-forecasting-with-k-means-and-xgboost", "kernel_id": "75445768"}, {"ref": "samrat12/time-series-decomposition", "kernel_id": "75362249"}, {"ref": "shraddhashakya/sales-prediction", "kernel_id": "75358564"}, {"ref": "alexkalita/decomposition-country-doy-factor", "kernel_id": "75521153"}, {"ref": "uuratl/sticker-sales-lgbm", "kernel_id": "75576327"}, {"ref": "durdanakhalid/forecasting-sticker-sale", "kernel_id": "75572729"}, {"ref": "karensnchez/getting-started-with-decision-trees-using-fastai", "kernel_id": "75152632"}, {"ref": "risakashiwabara/eda-sticker-sales", "kernel_id": "75134276"}, {"ref": "iamtheoneaj/ultimate-final-code-for-competition", "kernel_id": "75598896"}, {"ref": "faisaldinobahtiar/eda-machine-learning-for-sticker-sales-prediction", "kernel_id": "75543436"}, {"ref": "calebboen/forecasting-sticker-sales-random-forest", "kernel_id": "75245565"}, {"ref": "utkarshgaikwad1994/sticker-example", "kernel_id": "75585511"}, {"ref": "gaddamsiddhu/playground-series-season-5-ep-1", "kernel_id": "75057051"}, {"ref": "arvanshul/s5e01-stickers-sales", "kernel_id": "75288532"}, {"ref": "xjj1234/ps-s5e1-ensemble-of-solutions-f1c0a7", "kernel_id": "75176363"}, {"ref": "belalomran/forecasting-sticker-sales-prediction-tensorflow", "kernel_id": "75562664"}, {"ref": "dimansinghahirwar/forecasting-sticker-sales-using-pyspark", "kernel_id": "75548315"}, {"ref": "looxoo11/pgs501-model-2-additional-country-doy-factor", "kernel_id": "75126152"}, {"ref": "vutukuripavankumar10/forecasting-sticker-sales", "kernel_id": "75075880"}, {"ref": "diwakarsehgal/new-sol", "kernel_id": "75606562"}, {"ref": "kedhareswernaidu/forecasting-sticker-sales", "kernel_id": "75558336"}, {"ref": "garrickchinnis/forecasting-sticker-sales", "kernel_id": "75027939"}, {"ref": "alkidiarete/h2o-generalized-linear-sticker", "kernel_id": "75540143"}, {"ref": "christina0626/eda-periodic-pattern", "kernel_id": "75061677"}, {"ref": "subarnasaikia/sticker-and-learning-ml-part-2", "kernel_id": "75148654"}, {"ref": "vinodkumargurjar/forecasting-sticker-sales-vinod", "kernel_id": "75236774"}, {"ref": "danieljp88/notebookf544b3e536", "kernel_id": "75367393"}, {"ref": "wannny/stickerssalesprediction", "kernel_id": "75041047"}, {"ref": "vish501/forecasting-sticker-sales", "kernel_id": "75303718"}, {"ref": "memoonabasharat/lgbm-forecasting-sticker-sales-eda", "kernel_id": "75345508"}, {"ref": "franciscogcc/sales-forecast-with-xgboost-simple-tutorial", "kernel_id": "75800018"}, {"ref": "stemosamaghandour/forecasting-sticker-sales-by-stemer-osama-geris", "kernel_id": "75117082"}, {"ref": "rudyhernndez/tune-compare-stack-ml-walkthrough", "kernel_id": "75200321"}, {"ref": "introverstein/time-based-cross-validation-prediction", "kernel_id": "75353339"}, {"ref": "ilayeesade/forecasting-sticker-sales-lstm-gru", "kernel_id": "75177001"}, {"ref": "akhilpm1996/forecasting-sticker-sales", "kernel_id": "75023255"}, {"ref": "jaeraklim/lb-forecasting-sticker-sales-xgb", "kernel_id": "75428173"}, {"ref": "mohamedmustafashaban/forecasting-sticker-prediction-xgboost", "kernel_id": "75454107"}, {"ref": "mohamedmustafashaban/lstm-forecasting", "kernel_id": "75207753"}, {"ref": "reetinder/hill-climbing-x-xgboost", "kernel_id": "75501604"}, {"ref": "zyh1104/sticker-sales-solution-ensembling", "kernel_id": "75287907"}, {"ref": "zyh1104/sticker-sales-solution", "kernel_id": "75434643"}, {"ref": "angusleung100/sticker-sales-forecast-model-ranked-kaggle", "kernel_id": "75105363"}, {"ref": "sulaniishara/sticker-sales-analysis-forecasting", "kernel_id": "75144093"}, {"ref": "sergeyarkhipov49/forecasting-sales", "kernel_id": "75045183"}, {"ref": "michael1o2/sticker-sales", "kernel_id": "75405772"}, {"ref": "mohameddrabo/forecasting-sticker-sales-cat-lagmb", "kernel_id": "75001784"}, {"ref": "ssyyhh/eda-prediction-of-selling-xgbregressor", "kernel_id": "75281438"}, {"ref": "ssyyhh/eda-prediction-xgbregressor-of-store", "kernel_id": "75061680"}, {"ref": "filipalovri/predicting-w-deep-learning-step-by-step-guide", "kernel_id": "75256921"}, {"ref": "filipalovri/comprehensive-eda-sales-trends-and-missing-data", "kernel_id": "75012751"}, {"ref": "angelfencer/weatherinator", "kernel_id": "75588390"}, {"ref": "suningji/s1e1eda", "kernel_id": "75544517"}, {"ref": "zgrdenizelik/neural-networks-still-holds-the-crown-0-06391", "kernel_id": "75089610"}, {"ref": "abdallah11/forecasting-sticker-sales-using-randomforest", "kernel_id": "75189443"}, {"ref": "harshgupta4444/playground-sticker-sales", "kernel_id": "75467870"}, {"ref": "dakshtamehta09/forecasting-sticker-sales", "kernel_id": "75543877"}, {"ref": "vinayvaida/forecasting-sticker-sales-vinay-vaida", "kernel_id": "75040323"}, {"ref": "deepanshujoshi3012/sticker-2", "kernel_id": "75449198"}, {"ref": "deepanshujoshi3012/sticker", "kernel_id": "75447269"}, {"ref": "deepanshujoshi3012/sticker-3", "kernel_id": "75470408"}, {"ref": "mariajosealmeyda/forecasting-sticker-sales-with-catboost", "kernel_id": "75418346"}, {"ref": "birathibanthavarajah/forecasting-sticker-sales-competition", "kernel_id": "75200772"}, {"ref": "muhammadusama211/sticker-forecasting-ml-power", "kernel_id": "75055114"}, {"ref": "peymanarmaghan/s5e01-fft-fast-fourier-transform-gbdt-lb-0-059", "kernel_id": "75378188"}, {"ref": "andreagobbez/forecasting-sticker-sales-2", "kernel_id": "75183945"}, {"ref": "pythonisnottrash/sticker-sales-forecasting-lstm-0-08", "kernel_id": "75312305"}, {"ref": "frodobaggins87/forecasting-sticker-sales", "kernel_id": "75151172"}, {"ref": "abhishek0s1ingh/forecasting-sticker-sales", "kernel_id": "75625467"}, {"ref": "smailuuz/number-of-sales-forecasting", "kernel_id": "75316860"}, {"ref": "sahantimilsina/stickerprediction", "kernel_id": "75168011"}, {"ref": "nikolasgegenava/forecasting-sticker-sales-ioai-5", "kernel_id": "75636025"}, {"ref": "antrishh/notebooka3e3bc5ca6", "kernel_id": "75010608"}, {"ref": "db0boy/linreg-catboost-forecasting-sticker-sales", "kernel_id": "75314929"}, {"ref": "xinyang11010709/prophet-workflow-and-furrr-parallel-computing", "kernel_id": "75531752"}, {"ref": "xinyang11010709/prophet-xgb-race-anova-furrr-parallel-computing", "kernel_id": "75761994"}, {"ref": "zakariaelaoufi/stickers-prediction", "kernel_id": "75411371"}, {"ref": "prudtiponj/my-playground", "kernel_id": "75604958"}, {"ref": "deephabiswashi2000/sticker-sales-forecast-insights-and-predictions", "kernel_id": "75149410"}, {"ref": "rajan3208/sticker-sales-forecasting", "kernel_id": "75267236"}, {"ref": "sevilaymuniregirgin/pyspark-optuna-xgboost-forecast-sales", "kernel_id": "75568156"}, {"ref": "curiousmindskids/forecasting-sticker-sales", "kernel_id": "75054397"}, {"ref": "ldausl/pgs501-model-1-time-series-decomposition", "kernel_id": "75703956"}, {"ref": "gayatrijuneja011/notebook8ef6e7639a", "kernel_id": "75446660"}, {"ref": "yungseongpark/notebooka1ce6b3342", "kernel_id": "75286508"}, {"ref": "tnr1337/best-model-ever", "kernel_id": "75118991"}, {"ref": "elhassakhajar/sticker-sales", "kernel_id": "75476392"}, {"ref": "victorhugogarca/forecasting-sticker-sales-anlysis-and-ml-models", "kernel_id": "75531042"}, {"ref": "ismaildikmen/forecasting-sticker-sales", "kernel_id": "75617342"}, {"ref": "sarojrawal/sales-sitcker-forecasting", "kernel_id": "75231174"}, {"ref": "sacaak/forecasting-sticker-sales", "kernel_id": "75572639"}, {"ref": "nitheeshantony/gpu-data-processing-model", "kernel_id": "75197110"}, {"ref": "abhinavraj091/notebook55967cfd84", "kernel_id": "75415413"}, {"ref": "abhinavraj091/notebooke75a8bfc13", "kernel_id": "75413601"}, {"ref": "brielleadsitt/notebook482f0df3e1", "kernel_id": "75316622"}, {"ref": "saumilpatel6354/forecasting-stickers-with-lgbm", "kernel_id": "75282038"}, {"ref": "tojiuser/first-notebook", "kernel_id": "75587431"}, {"ref": "chris36/forecasting-stickers-sales-keras", "kernel_id": "76134926"}, {"ref": "kumarandatascientist/eda-datascience-ai-agent-pipeline-v1", "kernel_id": "76653559"}, {"ref": "swas06/forecastingstickersrandomforest", "kernel_id": "76443222"}, {"ref": "minamotonoyoshimasa/publicscore-0-075-privatescore-0-085-with-lgbm", "kernel_id": "76132896"}, {"ref": "vijay20213/sales-forecasting-arima-mae-535-rmse-639", "kernel_id": "76777988"}, {"ref": "utkarshgaikwad1994/darts-forecasting", "kernel_id": "76502625"}, {"ref": "gianfrancocipollari/sticker-sales-forecasting-r-forest-null-treatment", "kernel_id": "76563181"}, {"ref": "romandervish/forecasting-sticker-sales", "kernel_id": "76964394"}, {"ref": "hsiangyuwang0129/s5e1-eda-and-linear-regression-baseline", "kernel_id": "76560772"}, {"ref": "sucheta204/sticker", "kernel_id": "76795710"}, {"ref": "evaaaas/exploring-periodic-pattern-for-sticker", "kernel_id": "76211115"}, {"ref": "evaaaas/eda-periodic-pattern", "kernel_id": "76211266"}, {"ref": "yug201/detailed-analysis-of-sticker-sales-dataset", "kernel_id": "76654345"}, {"ref": "ngntrnkim/capstone", "kernel_id": "77054318"}, {"ref": "muhammedateffkoshy/sticker-sales-detailed-eda-prediction-model", "kernel_id": "77262997"}, {"ref": "saurabhru/notebook613ee2c535", "kernel_id": "77509457"}, {"ref": "galalqassas/predict-sales-perfect-eda-basic-linear-regression", "kernel_id": "77007511"}, {"ref": "galalqassas/forecast-sticker-sales-detailed-eda-and-modeling", "kernel_id": "77828299"}, {"ref": "nikita7364777/5-01-stacking-pca", "kernel_id": "77522642"}, {"ref": "hasanbasrikara/stickersales-xgboost-eda-visualization", "kernel_id": "77277490"}, {"ref": "bingos/data-visualization-for-forecasting-sticker-sales", "kernel_id": "77143561"}, {"ref": "raj110/stickerflow-forecast", "kernel_id": "77602079"}, {"ref": "pranay7867/sticker-sale", "kernel_id": "77046322"}, {"ref": "esaihuamanmeza/solucion-integral-para-forecasting-sticker-sales", "kernel_id": "78778602"}, {"ref": "sergeyarkhipov49/eda-logreg-special-for-russian-beginner-ds", "kernel_id": "78277621"}, {"ref": "sumelahmad/advanced-eda-ml-predictions", "kernel_id": "78230399"}, {"ref": "esotericdata1/sales-forecasting-with-llm-lgbm-lr", "kernel_id": "78133609"}, {"ref": "akshaypatil11/forecasting-sticker-sales", "kernel_id": "79896710"}, {"ref": "tsihoryjigdaliaenoch/forecast-future-sales-robust-feature-engineering", "kernel_id": "79628994"}, {"ref": "denysshcherbina/to-show", "kernel_id": "79170913"}, {"ref": "peymanradmanesh/markdown-0-project-overview-and-objective-ma", "kernel_id": "79741563"}, {"ref": "lorisroy/forecasting-sticker-sales-xgboost", "kernel_id": "79229447"}, {"ref": "musabs2802/forecasting-sticker-sales", "kernel_id": "79283771"}, {"ref": "mesutbagl/forecasting-sticker-sales", "kernel_id": "79057830"}, {"ref": "icomert/sticker-sales-prediction-ml", "kernel_id": "79242342"}, {"ref": "purinutpolasanano/abdml-for-forecasting-sticker-sales", "kernel_id": "80401421"}, {"ref": "ugurcan95/sticker-sales-prediction", "kernel_id": "80974651"}, {"ref": "penbenur/forecasting-sticker-sales2", "kernel_id": "80235767"}, {"ref": "mohitsharma231234/stickers-sold", "kernel_id": "81844022"}, {"ref": "stpeteishii/sticker-sales-keras-mlp-regressor", "kernel_id": "82684325"}, {"ref": "keremkarayaz/forecasting-sticker-sales-yar-mas-z-m", "kernel_id": "82249184"}, {"ref": "kukulauren/sticker-sale-prediction", "kernel_id": "82038185"}, {"ref": "leonardshanjilee/forecasting-sticker-sales", "kernel_id": "85540713"}, {"ref": "hzx158152/notebook494e8026ee", "kernel_id": "85597418"}, {"ref": "toshihikok/s5e1-eda-and-linear-regression-baseline", "kernel_id": "86420789"}, {"ref": "evaaaas/eda-periodic-pattern-catboost", "kernel_id": "86017736"}, {"ref": "vedanshtyagi2451/sticker-sales-solution", "kernel_id": "86908628"}, {"ref": "zihadzihad/time-series-eda", "kernel_id": "86413881"}, {"ref": "toshihikok/s5e1-linear-regression-baseline-1st-preprocess", "kernel_id": "87751740"}, {"ref": "toshihikok/s5e1-linear-regression-baseline-1st-preprocess-02", "kernel_id": "87987773"}, {"ref": "bahmutsky/notebook4026c6b3a3", "kernel_id": "87015214"}, {"ref": "stpeteishii/lgbm-with-lag-rolling-features-for-sticker-sales", "kernel_id": "92316504"}, {"ref": "stpeteishii/lgbm-with-recursive-prediction-for-sticker-sales", "kernel_id": "93358677"}, {"ref": "machanif/sticker-sales-random-forest", "kernel_id": "93691506"}, {"ref": "batuhankalem/math482-lab3", "kernel_id": "94620208"}, {"ref": "hassanmehmood413/forecasting-sticker-sales-ensembles", "kernel_id": "94503976"}, {"ref": "varunmittapalli/forecasting-sticker-sales", "kernel_id": "94897110"}, {"ref": "nina2025/ps-s5e1-h-blend-fe-1st-place-private-0-0435", "kernel_id": "95645373"}, {"ref": "osmansevili/sticker-sales", "kernel_id": "96236395"}, {"ref": "makrrc/forecasting-sticker-sales-v2-07012025", "kernel_id": "101820494"}, {"ref": "gamzebabayigit/salesofstickers", "kernel_id": "101906009"}, {"ref": "handeharmankaya/forecasting-sticker-sales", "kernel_id": "103369514"}, {"ref": "osmanozcanli/sticker-sales-predict-1", "kernel_id": "109666486"}, {"ref": "ebjdoe/ps-s5e1-sticker-sales-signals-your-model-needs", "kernel_id": "113044736"}, {"ref": "nihalba/forecasting-sticker-sales-with-machine-learning", "kernel_id": "114214187"}, {"ref": "evgendvorkin/fe-lgbm-lb-privat-0-11556", "kernel_id": "114450849"}, {"ref": "zynptkn06/forecasting-sticker-sales", "kernel_id": "115681237"}, {"ref": "basaktamer/forecasting-sticker-sales", "kernel_id": "117717392"}, {"ref": "zqx960151285/forecasting-sticker-sales", "kernel_id": "129538346"}]}
{"competition_id": "85747", "kernels": [{"ref": "praznaparamitha/nama-nim-praktikum-3", "kernel_id": "66530630"}]}
{"competition_id": "85769", "kernels": [{"ref": "andrewjdarley/sample-notebook", "kernel_id": "66694143"}]}
{"competition_id": "85785", "kernels": [{"ref": "praznaparamitha/k2-nama-nim-praktikum-3", "kernel_id": "66553121"}, {"ref": "rifkyraymond23524021/if5141-hands-on-klasifikasi-rifky-raymond-23524021", "kernel_id": "72565410"}]}
{"competition_id": "85792", "kernels": []}
{"competition_id": "85824", "kernels": [{"ref": "alejandrocastrom/explore-train-data", "kernel_id": "67018578"}]}
{"competition_id": "85828", "kernels": []}
{"competition_id": "85855", "kernels": [{"ref": "ujjwalraghav69/strawberry", "kernel_id": "74058264"}]}
{"competition_id": "85857", "kernels": [{"ref": "boburabdullayev/notebook0a94d9d426", "kernel_id": "78725600"}, {"ref": "asilbekjon/maymunjon", "kernel_id": "83328167"}]}
{"competition_id": "85858", "kernels": [{"ref": "mehdijamaseb/base-code", "kernel_id": "67204738"}, {"ref": "mehdijamaseb/maryam-s-code", "kernel_id": "68896763"}, {"ref": "alibahadorani/forecasting-retail-purchases", "kernel_id": "68656020"}, {"ref": "piotrek40941/classifier-solution-for-retail-forecasting", "kernel_id": "71716792"}]}
{"competition_id": "85891", "kernels": []}
{"competition_id": "85894", "kernels": []}
{"competition_id": "85895", "kernels": []}
{"competition_id": "85896", "kernels": []}
{"competition_id": "85897", "kernels": []}
{"competition_id": "85898", "kernels": []}
{"competition_id": "85908", "kernels": [{"ref": "squarcle01/medainlol", "kernel_id": "66781909"}, {"ref": "squarcle01/aqi-xgb", "kernel_id": "66781799"}]}
{"competition_id": "85912", "kernels": []}
{"competition_id": "85922", "kernels": []}
{"competition_id": "85923", "kernels": [{"ref": "yuhaining/yuhaining", "kernel_id": "67197398"}]}
{"competition_id": "85932", "kernels": []}
{"competition_id": "85985", "kernels": [{"ref": "coffeepot223/lesquad-random-forest-starter-code", "kernel_id": "66856135"}]}
{"competition_id": "85996", "kernels": []}
{"competition_id": "86009", "kernels": []}
{"competition_id": "86023", "kernels": [{"ref": "thuccongpham/du-bao-phu-tai-4", "kernel_id": "53345556"}, {"ref": "lamdo2k3/ocr-model", "kernel_id": "62569254"}, {"ref": "lamdo2k3/ocr-lamii", "kernel_id": "63312476"}, {"ref": "ryanholbrook/aimo-2-submission-demo", "kernel_id": "67904468"}, {"ref": "hengck23/playground-let-s-verify-step-by-step", "kernel_id": "68548936"}, {"ref": "ashutosh7/few-shot-prompting-v1", "kernel_id": "68093967"}, {"ref": "kumarandatascientist/aimo2-v1-multidimensional-arithmetic-progression", "kernel_id": "68250642"}, {"ref": "julian3833/aimo2-starter-llm-code-baseline-lb-2", "kernel_id": "68354866"}, {"ref": "huikang/qwen2-5-math-1-5b-instruct", "kernel_id": "68044158"}, {"ref": "kazama28/aimo2-gemma-tuning-pytorch", "kernel_id": "68535348"}, {"ref": "derderi/aimo-2-submission-demo", "kernel_id": "68869793"}, {"ref": "mpwolke/hut3-hut5-hut8-hut13-fibonacci-got-it-gemma", "kernel_id": "68035053"}, {"ref": "gromml/aimo1-numina-1st-place-solution", "kernel_id": "68018262"}, {"ref": "gromml/aimo-2-numina-model", "kernel_id": "68036367"}, {"ref": "umongsain/aimo-pip", "kernel_id": "68013845"}, {"ref": "takaito/aimo2-vllm-deepseek-math-7b-instruct-infer-l4-4", "kernel_id": "68021293"}, {"ref": "boristown/aimo2-numin-s-solution", "kernel_id": "68248456"}, {"ref": "abdullahmeda/load-72b-awq-model-using-vllm-on-l4-x4", "kernel_id": "68343365"}, {"ref": "algerwang/aimo-solution", "kernel_id": "68065446"}, {"ref": "jainam213/entropy-sampler", "kernel_id": "68862013"}, {"ref": "srj321/ai-mo-problem-solving", "kernel_id": "68275196"}, {"ref": "kamruzzamanasif/team-free-palestine-training-notebook", "kernel_id": "68777750"}, {"ref": "bhanupratapbiswas/ai-mathematical-olympiad-01", "kernel_id": "68292120"}, {"ref": "richolson/ai-math-olympiad-qwen2-5-72b", "kernel_id": "68769908"}, {"ref": "adriansaezmartinez/testing-numina-aimo1-solution", "kernel_id": "68212571"}, {"ref": "yogasemfronteiras/aimo-2-submission-demo", "kernel_id": "68983683"}, {"ref": "stemosamaghandour/ai-mathematical-olympiad-2-osama-ghandour", "kernel_id": "68863552"}, {"ref": "kingkcabir/ai-math-olympiad", "kernel_id": "68409938"}, {"ref": "rangalamahesh/latex-problem-solver-enhancing-ai-s-mathematical", "kernel_id": "68628149"}, {"ref": "abdullah0a/ai-model-math-problems", "kernel_id": "68918845"}, {"ref": "muhammaddawood42/deepseek-math-7b-instruct-inference", "kernel_id": "68364843"}, {"ref": "twinklewill/eedi-try-72b", "kernel_id": "68803654"}, {"ref": "furkanorbeyi/lmm-prog", "kernel_id": "68923136"}, {"ref": "shafipasha/ai-model-for-solving-mathematical-olympiad-problem", "kernel_id": "68675120"}, {"ref": "darraghdog/nemoskills-demo", "kernel_id": "69258861"}, {"ref": "darraghdog/nemo-skills-tool-integrated-reasoning-agent", "kernel_id": "69323756"}, {"ref": "darraghdog/qwen2-5-math-7b-instruct-nemo-skills-tir", "kernel_id": "69360574"}, {"ref": "huikang/qwen2-5-72b-instruct-with-tir", "kernel_id": "69024281"}, {"ref": "mahmudds/ai-mathematical-olympiad-solution-pp-2", "kernel_id": "69308671"}, {"ref": "jazivxt/polymath-slumdog-billionaire", "kernel_id": "69219491"}, {"ref": "mbmmurad/lb-score-4-qwen2-5-math-7b-sc-cot", "kernel_id": "69024368"}, {"ref": "kotaiizuka/aimo2-tutorial", "kernel_id": "69125562"}, {"ref": "nickolasthb/aimo-entire-math-poc-for-actual-progress", "kernel_id": "69236569"}, {"ref": "keremelik/aimo-2-submission-demo-v-1", "kernel_id": "69914987"}, {"ref": "cy4ego/how-to-run-llm-gemma2-with-tpu-in-kaggle-offline", "kernel_id": "69551999"}, {"ref": "boristown/qwen-qwq-32b-preview-deepreasoning", "kernel_id": "69553940"}, {"ref": "konstantinboyko/qwen2-5-72b-instruct", "kernel_id": "69150617"}, {"ref": "saouza007/try-qwen2-5-reward-model", "kernel_id": "69792274"}, {"ref": "ashioyajotham/aimo2", "kernel_id": "69653134"}, {"ref": "tianjiajun177/aimo2-vllm-deepseek-math-7b-instruct-infer-l4-4", "kernel_id": "69226856"}, {"ref": "richolson/llama-cpp-install", "kernel_id": "69548495"}, {"ref": "richolson/ai-math-olympiad-qwen2-5-math-7b-gguf-on-cpu", "kernel_id": "69667333"}, {"ref": "richolson/ai-math-olympiad-qwen2-5-math-1-5b-cpu", "kernel_id": "69299405"}, {"ref": "richolson/ai-math-olympiad-qwen2-5-math-72b", "kernel_id": "69099649"}, {"ref": "helmirinaldi/maths", "kernel_id": "69320341"}, {"ref": "shili10/qwen2-5-math-72b-instruct-with-tir", "kernel_id": "69660023"}, {"ref": "shili10/qwen2-5-72b-instruct-awq", "kernel_id": "69846294"}, {"ref": "mo1255/notebookbb2e91a466", "kernel_id": "69851396"}, {"ref": "darraghdog/qwen2-5-math-72b-instruct-awq-nemo-skills", "kernel_id": "70703898"}, {"ref": "herwinvw/optuna-meta-parameter-optimization-qwen-math", "kernel_id": "70982789"}, {"ref": "kumarandatascientist/aimo2-v1-0-andmultidimensional-cube", "kernel_id": "70169851"}, {"ref": "derderi/dirdiri-new", "kernel_id": "70213861"}, {"ref": "jeannkouagou/qwen2-5-math-72b-instruct-with-tir", "kernel_id": "70045824"}, {"ref": "rasoulmojtahedzadeh/aimo1-2nd-place-solution", "kernel_id": "70941025"}, {"ref": "andreasleonardo/math-model", "kernel_id": "70319176"}, {"ref": "boristown/aimo2-reference-problem-solution", "kernel_id": "70916032"}, {"ref": "tangyipeng100/qwen2-5-math-72b-instruct-with-tir-ba354e", "kernel_id": "70840121"}, {"ref": "oostg0t/vkrecsys", "kernel_id": "70390593"}, {"ref": "richolson/qwen-2-5-math-7b-72b-rm-sampling", "kernel_id": "70558514"}, {"ref": "richolson/ai-math-olympiad-supercorrect", "kernel_id": "70035268"}, {"ref": "shelterw/qwen2-5-math-7b-instruct-tir-rm-24", "kernel_id": "70940416"}, {"ref": "promptengineer48/qwen2-5-72b-instruct-with-tir-prompt-engineer", "kernel_id": "70937921"}, {"ref": "strados/mathcompet", "kernel_id": "70343858"}, {"ref": "zayd88903/teamx-competition-aimo-notebook", "kernel_id": "70981439"}, {"ref": "sadriwala/aimo-murtaza", "kernel_id": "70321579"}, {"ref": "gwendaltsang/load-72b-awq-model-using-vllm-on-l4-x4", "kernel_id": "70197836"}, {"ref": "marymmahmod/aimo-2-submission", "kernel_id": "70898103"}, {"ref": "tianhuiwang1/qwen2-5-math-72b-instruct-with-tir-0ec389", "kernel_id": "70144996"}, {"ref": "tianhuiwang1/qwen2-5-instruct-72b", "kernel_id": "70253095"}, {"ref": "sorokin/aimo2-tir-rm", "kernel_id": "71178461"}, {"ref": "huikang/deepseek-r1-distill-qwen-7b-awq", "kernel_id": "71796571"}, {"ref": "mbmmurad/lb-20-qwq-32b-preview-optimized-inference", "kernel_id": "71935611"}, {"ref": "josecarmona/play-with-qwen2-5-72b-instruct", "kernel_id": "71783778"}, {"ref": "akshayr009/qwen2-5-math-72b-instruct-with-tir-ba354e", "kernel_id": "71846272"}, {"ref": "boristown/qwen-qwq-32b-preview-1-5b-instruct", "kernel_id": "71982267"}, {"ref": "sujaykapadnis/aimo-2", "kernel_id": "71851266"}, {"ref": "tangyipeng100/aimo2-tir-rm", "kernel_id": "71364827"}, {"ref": "tangyipeng100/qwq-32b-preview-awq-cot", "kernel_id": "71908877"}, {"ref": "threerabbits/qwq-32b-preview-awq-cot", "kernel_id": "71918493"}, {"ref": "omarisbaitan/aimo-2-math-1-8m-problem-solution", "kernel_id": "71770581"}, {"ref": "rfeng12/notebook46f717fea1", "kernel_id": "71860865"}, {"ref": "shelterw/qwq-32b-preview-awq-cot", "kernel_id": "71803225"}, {"ref": "letmehandle/liger-kernel-test", "kernel_id": "71195434"}, {"ref": "vatosoarazafi/aimo-2", "kernel_id": "71486253"}, {"ref": "beastgokul/aimo2-vllm-deepseek-math-7b-rl-infer-l4-4", "kernel_id": "71372165"}, {"ref": "shili10/qwen2-5-72b-instruct-awq-using-cot", "kernel_id": "71225961"}, {"ref": "shili10/qwq-32b-preview", "kernel_id": "71962507"}, {"ref": "justynazaj/my-ai-math-olympiad-qwen2-5-math-1-5b-instruct", "kernel_id": "72778633"}, {"ref": "sathyanarayanrao89/sympy-and-gpt-2-for-ai-math-olympiad", "kernel_id": "72024939"}, {"ref": "sathyanarayanrao89/ai-mathematical-olympiad-phi2-basic", "kernel_id": "72029214"}, {"ref": "sethmoudry/aimo2-benchmarking-vllm-for-qwq-l4", "kernel_id": "72478115"}, {"ref": "mohamedahmednaji/will-1-5b-change-its-solution-it-spits-bullshit", "kernel_id": "72043693"}, {"ref": "andreaskaufmann/aimo-2-o1-o1-mini", "kernel_id": "72495206"}, {"ref": "richolson/cpu-can-t-please-them-all-qwen-loves-gemma", "kernel_id": "72292168"}, {"ref": "lephanminhdat/deep-learning-20", "kernel_id": "72071949"}, {"ref": "mihailodin1/skin-cancer-color", "kernel_id": "72451726"}, {"ref": "liondude/lb-20-qwq-32b-preview-optimized-inference", "kernel_id": "72540622"}, {"ref": "tarunjit45/t5-based-solution-for-aime-math-problems", "kernel_id": "72570072"}, {"ref": "theone0121/artifical-intelligence-olympiad", "kernel_id": "72718387"}, {"ref": "shili10/fork-of-lb-20-qwq-32b-preview-optimized-inferenc", "kernel_id": "72675042"}, {"ref": "matthieuouvrard/notebooka9ffa7a482", "kernel_id": "72882702"}, {"ref": "nckiin/test-doan", "kernel_id": "72360977"}, {"ref": "xiwuhan/arc-unsloth", "kernel_id": "73683192"}, {"ref": "dbsrlskfdk/lb-score-4-search-and-learn-qwen2-5-math", "kernel_id": "73154279"}, {"ref": "myte21/aimo-zero", "kernel_id": "73479357"}, {"ref": "myte21/aimo-random", "kernel_id": "73675840"}, {"ref": "jorgeplazas/aimo2-projectnumina-datasets", "kernel_id": "73961839"}, {"ref": "bulivington/df25-lc-answer-gen", "kernel_id": "73624518"}, {"ref": "sathyanarayanrao89/tutorial-solving-aimo-progress-prize-2-using-qwq", "kernel_id": "73434702"}, {"ref": "tranhoangquan/aimo-ss2-quan", "kernel_id": "73923978"}, {"ref": "tangyipeng100/qwen-qwq-32b-preview-deepreasoning-6a5856-472dab", "kernel_id": "73209651"}, {"ref": "naladwepo/notebookc61611bed6", "kernel_id": "73153519"}, {"ref": "lephanminhdat/phi-2", "kernel_id": "73563266"}, {"ref": "beastgokul/aimo-2-numina", "kernel_id": "73198832"}, {"ref": "kevinwang1434/finetune-curr", "kernel_id": "73886064"}, {"ref": "albertzhang1434/fork-of-scrape", "kernel_id": "73050010"}, {"ref": "duongthuhuong/aimo-02-test-03-qwen2-5-tir", "kernel_id": "73771807"}, {"ref": "leegang0911/download-sglang", "kernel_id": "74315893"}, {"ref": "manhtuanbn12/qwq-32b-preview", "kernel_id": "74144642"}, {"ref": "hechtjp/download-unsloth-package", "kernel_id": "74940317"}, {"ref": "justineleonuro/rho-math-7b-interpreter-v0-1-ed", "kernel_id": "74251457"}, {"ref": "justineleonuro/msrho-m7bi-juro-example", "kernel_id": "74252158"}, {"ref": "konstantinboyko/qwq-32b-preview-gguf-q5", "kernel_id": "74775924"}, {"ref": "tranhoangquan/qwen-aimo", "kernel_id": "74315781"}, {"ref": "shuvosaha1234/ai-mathematical-olympiad", "kernel_id": "74036832"}, {"ref": "aarushkhilosia/create-o1-using-qwq-simpo-cpo", "kernel_id": "74808035"}, {"ref": "larry54321zhao/tenprompt-phi4run", "kernel_id": "74518220"}, {"ref": "kaiyisung/matholympic-v1", "kernel_id": "74110325"}, {"ref": "duongthuhuong/aimo-02-test-03-numina-tir", "kernel_id": "74560145"}, {"ref": "jaysurender/random-seed-ipynb", "kernel_id": "74498377"}, {"ref": "bhalewow/data-gen-mpc", "kernel_id": "74480568"}, {"ref": "mpware/vllm-0-7-1", "kernel_id": "75715997"}, {"ref": "gpreda/qwen-qwq-32b-preview-deepreasoning", "kernel_id": "75458472"}, {"ref": "yekenot/aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "75995081"}, {"ref": "huikang/pip-install-aimo2", "kernel_id": "75798957"}, {"ref": "someshchatterjee/2025-02-02-01-ai-olympiad", "kernel_id": "75800841"}, {"ref": "stpeteishii/math-olympiad-bart-fit-predict", "kernel_id": "75243049"}, {"ref": "stpeteishii/math-olympiad-bart-aimo2-submission", "kernel_id": "75292189"}, {"ref": "leonshangguan/deepseek-r1-distill-qwen-7b-awq", "kernel_id": "75818864"}, {"ref": "haoruili/lb24-deepseek-r1-with-more-prompt-engineering", "kernel_id": "75436465"}, {"ref": "haoruili/lb22-deepseek-r1-distill", "kernel_id": "75307835"}, {"ref": "danielphalen/grpotrainer-deepseekr1", "kernel_id": "75591561"}, {"ref": "hechtjp/aimo2-phi-4-finetuning-with-unsloth-demonstration", "kernel_id": "75252455"}, {"ref": "hechtjp/aimo2-deepseek-r1-cross-validation-demonstration", "kernel_id": "75456849"}, {"ref": "agungpambudi/deepseek-ai-mathematical-olympiad-math-challenges", "kernel_id": "75865798"}, {"ref": "agungpambudi/mathematical-olympiad-qwen-solves-math-challenges", "kernel_id": "75866773"}, {"ref": "shlomoron/vllm-installation-fix-0-7", "kernel_id": "75767008"}, {"ref": "mahmoudashraf7400/ai-mathematical-olympiad-smart-solution", "kernel_id": "75955757"}, {"ref": "konstantinboyko/bartowski-deepseek-r1-distill-qwen-7b-q8-0", "kernel_id": "75536515"}, {"ref": "konstantinboyko/bartowski-deepseek-r1-distill-qwen-7b-f16-gguf", "kernel_id": "75575381"}, {"ref": "konstantinboyko/qeternity-deepseek-r1-distill-qwen-14b-fp8", "kernel_id": "75799030"}, {"ref": "konstantinboyko/qeternity-deepseek-r1-distill-qwen-7b-fp8", "kernel_id": "75827617"}, {"ref": "noorchauhan/vllm-0-7", "kernel_id": "75814106"}, {"ref": "simonveitner/sglang", "kernel_id": "75764018"}, {"ref": "dujinhua2021/aimo2v2", "kernel_id": "75990789"}, {"ref": "irfansheikh01/aimo-first-draft-basic-transformer-usage", "kernel_id": "75916888"}, {"ref": "mohamedmustafashaban/mathematical-olympiad-progress", "kernel_id": "75163523"}, {"ref": "yousefr/ai-math-olympiad-training-deepseek-r1-32b-sft", "kernel_id": "75916370"}, {"ref": "aarushkhilosia/train-custom-nanogpt", "kernel_id": "75060957"}, {"ref": "zayd88903/ds-r1-distill-qwen-32b-awq-zh-prompt-31c901", "kernel_id": "75624451"}, {"ref": "zayd88903/score-22", "kernel_id": "75626385"}, {"ref": "aniruddhmubayi/aimo-2-submission-demo", "kernel_id": "75408373"}, {"ref": "mohammadyousifjamali/qwen-qwq-32b-preview-deepreasoning101", "kernel_id": "75518828"}, {"ref": "guneethpalakurthy/using-votingregressor-xgboost-catboost-lightgbm", "kernel_id": "75886508"}, {"ref": "roosvanderjagt/ai-mathematical-olympiad-progress-prize-2-final", "kernel_id": "75176544"}, {"ref": "shili10/ds-r1-distill-qwen-32b-awq", "kernel_id": "75788352"}, {"ref": "shili10/lb24-deepseek-r1-distill", "kernel_id": "75509092"}, {"ref": "shili10/ds-r1-distill-qwen-32b-awq-from-23", "kernel_id": "75446051"}, {"ref": "shili10/ds-r1-distill-qwen-32b-awq-zh-prompt-re", "kernel_id": "75403152"}, {"ref": "shili10/ds-r1-distill-qwen-32b-awq-zh-prompt", "kernel_id": "75140595"}, {"ref": "huntwindmark/lb22-deepseek-r1-distill", "kernel_id": "75541403"}, {"ref": "firewhailemariam/freshtaaim-2", "kernel_id": "75026651"}, {"ref": "yuchenyang666/qwen-aimo", "kernel_id": "75538341"}, {"ref": "yh012345/deepseek-r1-distill-qwen-1-5b-awq", "kernel_id": "75599479"}, {"ref": "huikang/thought-engineering-r1-distill-qwen-7b-awq", "kernel_id": "76282423"}, {"ref": "jacoporepossi/agentic-approach-with-langgraph", "kernel_id": "76377944"}, {"ref": "jasperdekoninck/notebook-inference-server-never-started", "kernel_id": "76868169"}, {"ref": "bigkizd/vllm-v0-7-2", "kernel_id": "76131737"}, {"ref": "mahmudds/simple-aimo-2-submission", "kernel_id": "76053902"}, {"ref": "stpeteishii/math-causallm-deepseek-r1-submission", "kernel_id": "76813969"}, {"ref": "stpeteishii/math-causallm-qwen2-5-w-inet", "kernel_id": "76727979"}, {"ref": "stpeteishii/math-causallm-qwen2-5-submission", "kernel_id": "76758909"}, {"ref": "tatamikenn/check-sms-t4", "kernel_id": "76643755"}, {"ref": "tatamikenn/check-sms-l4", "kernel_id": "76643829"}, {"ref": "tatamikenn/check-sms-p100", "kernel_id": "76643592"}, {"ref": "rajatgupta1901/aimo-1", "kernel_id": "76332968"}, {"ref": "vincenzoscarrica/aime-data-from-83-to-24-with-code", "kernel_id": "76723876"}, {"ref": "konstantinboyko/aimo-2-7b-awq-p6-k16-s28-o1-1-b0-a5", "kernel_id": "76265748"}, {"ref": "konstantinboyko/aimo-2-7b-awq-p6-k16-s28-o1-0-b0-a5-t-5m-th-no", "kernel_id": "76325499"}, {"ref": "konstantinboyko/qwen-14b-w8a8-dynamic-per-token-nm-testing", "kernel_id": "76041221"}, {"ref": "konstantinboyko/qwen-14b-w4a16-g128-exceedzhang", "kernel_id": "76040862"}, {"ref": "konstantinboyko/r1-distill-qwen-7b-awq-vllm-0-7-2", "kernel_id": "76140334"}, {"ref": "konstantinboyko/vllm-0-7-2-script", "kernel_id": "76135247"}, {"ref": "konstantinboyko/qwen2-5-3b-instruct-awq-qwen", "kernel_id": "76368015"}, {"ref": "konstantinboyko/mistral-small-24b-instruct-2501-awq-stelterlab", "kernel_id": "76367573"}, {"ref": "konstantinboyko/qwq-14b-math-v0-2-gguf-q4-1-quantfactory", "kernel_id": "76368306"}, {"ref": "konstantinboyko/deepscaler-1-5b-preview-agentica-org", "kernel_id": "76422284"}, {"ref": "konstantinboyko/aimo2-7b-awq-p5-k20-s16-o1-1-b0-a5", "kernel_id": "76397378"}, {"ref": "konstantinboyko/deepseek-r1-distill-qwen-7b-gptq-int4-jakiajk", "kernel_id": "76554942"}, {"ref": "konstantinboyko/aimo2-14b-awq-p5-k32-s8-o1-1-b0-a2", "kernel_id": "76615751"}, {"ref": "konstantinboyko/aimo2-14b-awq-p5-k32-s8-o1-0-b0-a2-q8x1-5-1", "kernel_id": "76747966"}, {"ref": "compilingcoder/notebookaimo", "kernel_id": "76249182"}, {"ref": "gregkoja/prompt-engineering-deepseek-r1-aimo", "kernel_id": "76094415"}, {"ref": "aaditshukla/aimo-progress-prize-begginer", "kernel_id": "76050168"}, {"ref": "ducnh279/grpo-train-reasoning-model", "kernel_id": "76371246"}, {"ref": "tangyipeng100/thought-engineering-r1-distill-qwen-7b-awq-03c47b", "kernel_id": "76984728"}, {"ref": "kinnguynchu/paper-cothao", "kernel_id": "76047024"}, {"ref": "quannguyn12/lucky", "kernel_id": "76489375"}, {"ref": "nihalkumarsharma/ai-competition-final", "kernel_id": "76431592"}, {"ref": "vinodkumargurjar/distill-qwen-1-5b-guide", "kernel_id": "76970844"}, {"ref": "shelterw/vllm-0-7-2-deepseek-r1-distill-prm-n", "kernel_id": "76487869"}, {"ref": "artemisy/aimo2-vllm-gpu4", "kernel_id": "76249543"}, {"ref": "yousefr/grpo-unsloth-aimo-training-deepseek-r1-7b", "kernel_id": "76355913"}, {"ref": "alikalwar/qwen-7b-distillation-with-advanced-awq-quantizatio", "kernel_id": "76860766"}, {"ref": "biansun/fork-of-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "76037756"}, {"ref": "biansun/cot-problem-categorize-deepseek-r1-distill-qwen-14", "kernel_id": "76819221"}, {"ref": "biansun/fork-of-fork-of-deepseek-r1-distill-qwen-7b", "kernel_id": "76807405"}, {"ref": "beastgokul/grpotrainer-deepseekr1", "kernel_id": "76484904"}, {"ref": "giraldonainggolan/building-and-deploying-ai-models-with-flask-and-py", "kernel_id": "76201719"}, {"ref": "fahad020/notebook9af4a1c80e", "kernel_id": "76006291"}, {"ref": "mohammadyousifjamali/v2-deepseek-r1-vllm-0-7-1-new-prompts-version1", "kernel_id": "76306565"}, {"ref": "shili10/deepscaler1-5b-preview-awq", "kernel_id": "76713677"}, {"ref": "shili10/deepseek-r1-distill-qwen-14b-awq-with-prefixes", "kernel_id": "76730868"}, {"ref": "nckiin/gcn-vit", "kernel_id": "76564125"}, {"ref": "yh012345/ai-math-olympiad-deepseek-r1-1-5b-gguf-on-cpu", "kernel_id": "76042825"}, {"ref": "dhiraj070/notebook754d447aa7", "kernel_id": "76987303"}, {"ref": "singhdeep70/notebook9e41e03cab", "kernel_id": "76953155"}, {"ref": "arkadiuszpaterek/aimo-2-new-solution-10", "kernel_id": "77831119"}, {"ref": "mpware/vllm-0-7-3-flashinfer", "kernel_id": "77068075"}, {"ref": "johnsonhk88/ai-math-solving-by-llm2", "kernel_id": "77536023"}, {"ref": "boristown/deepseekr1-tir", "kernel_id": "77434967"}, {"ref": "hakinblue/sglang-1", "kernel_id": "77929655"}, {"ref": "konstantinboyko/aimo2-14a-p12-k24-s8-o1-1-b0-a2-q0x2-2-my", "kernel_id": "77113820"}, {"ref": "konstantinboyko/aimo2-14b-awq-p5-k32-s8-o1-1-b0-a2-q20x2-0-1-nd", "kernel_id": "77007267"}, {"ref": "konstantinboyko/aimo2-14a-p5-k24-s8-o1-1-d2-a3-q20x2-2-ch", "kernel_id": "77259737"}, {"ref": "konstantinboyko/vllm-0-7-3-v05-without-flashinfer", "kernel_id": "77244583"}, {"ref": "konstantinboyko/aimo2-14a-p12-k24-s8-o1-1-d0-a2-q3x2-2-nd", "kernel_id": "77551750"}, {"ref": "konstantinboyko/cuda-12-4-1-torch-script", "kernel_id": "77544042"}, {"ref": "konstantinboyko/cuda-12-4-1-torch-script-v02", "kernel_id": "77546242"}, {"ref": "mavicbf/notebook939675eb41", "kernel_id": "77810875"}, {"ref": "samuelzxu/aimo-2-qwen-qwq-32b-awq", "kernel_id": "77904323"}, {"ref": "handudu/aimo1-20-fix2", "kernel_id": "77864924"}, {"ref": "prathmeshadsod/aimo-2-vllm", "kernel_id": "77751052"}, {"ref": "prashantlimba/aimo2-beta-16prompt-v3", "kernel_id": "77686388"}, {"ref": "tangyipeng100/aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "77736767"}, {"ref": "tangyipeng100/aimo-2-deepseek-r1-distill-qwen-7b-awq-06e402", "kernel_id": "77805182"}, {"ref": "tangyipeng100/vllm-0-7-3-tinyr1-32b-preview-prm-n", "kernel_id": "77590340"}, {"ref": "tangyipeng100/thought-engineering-r1-distill-qwen-7b-awq-19fe79", "kernel_id": "77459473"}, {"ref": "liuwanlong111/half-short", "kernel_id": "77174443"}, {"ref": "liuwanlong111/prm-qwen7b", "kernel_id": "77577263"}, {"ref": "liuwanlong111/short-cut-dynasor", "kernel_id": "77703543"}, {"ref": "vinodkumargurjar/vinod", "kernel_id": "77024100"}, {"ref": "shelterw/let-s-try-beam-search", "kernel_id": "77879014"}, {"ref": "shelterw/vllm-0-7-3-tinyr1-32b-preview-prm-n", "kernel_id": "77383356"}, {"ref": "frankivey/fivey-aimo2-official-dataset", "kernel_id": "77856956"}, {"ref": "frankivey/fivey-aimo2-smolvm-only", "kernel_id": "77355173"}, {"ref": "yxw666/lucky", "kernel_id": "77505631"}, {"ref": "farsail/aimo2-inference", "kernel_id": "77207483"}, {"ref": "daltongabrielomondi/aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "77686377"}, {"ref": "player77/copy-lb24", "kernel_id": "77380329"}, {"ref": "sunasamu/thought-engineering-r1-distill-qwen-14b-awq-tir", "kernel_id": "77196515"}, {"ref": "ahmetsri/cad-n-nyatsevdas", "kernel_id": "77328501"}, {"ref": "qacenn/dz-mashnaric-gg", "kernel_id": "77554289"}, {"ref": "tiehr2000/prm-qwen7b-4ee412", "kernel_id": "77664640"}, {"ref": "mahatiratusher/aimomath-numinamath7btir-inferencesubmission-v1", "kernel_id": "77763974"}, {"ref": "jotiroy28/ai-mathematical-olympiad-progress-prize-2", "kernel_id": "77249001"}, {"ref": "sangrampatil5150/aimo-2-deepseek-r1-distill-qwen-7b-awq-037589", "kernel_id": "77773809"}, {"ref": "youyc22/imagination-research-original-submission", "kernel_id": "77497116"}, {"ref": "kenteee98/thought-engineering-r1-distill-qwen-7b-awq-19fe79", "kernel_id": "77415487"}, {"ref": "lianliu07/fork-of-lb-20-qwq-32b-preview-optimized-i-0af54e", "kernel_id": "77867666"}, {"ref": "siddharth776/aimo2", "kernel_id": "77614265"}, {"ref": "darraghdog/tensorrt-llm-aimo-wheels-ns-varlen", "kernel_id": "78946210"}, {"ref": "darraghdog/nemo-skills-qwen2-5-14b-mix48-trtllm-redrafter", "kernel_id": "78980461"}, {"ref": "wenliangtlh/wenliang-aimo2", "kernel_id": "78022572"}, {"ref": "wenliangtlh/down-models-ds-r1-7b-int-awq", "kernel_id": "78933065"}, {"ref": "wenliangtlh/lmdeploy", "kernel_id": "78936538"}, {"ref": "wenliangtlh/deepseek-r1-distill-14b-testcopy", "kernel_id": "78938090"}, {"ref": "mpware/vllm-0-8-1-flashinfer", "kernel_id": "78908546"}, {"ref": "mpware/vllm-0-8-0-flashinfer", "kernel_id": "78868866"}, {"ref": "andy2709/vllm-installer", "kernel_id": "78741421"}, {"ref": "jasoncbourne/lmdeploy", "kernel_id": "78890956"}, {"ref": "baglaribr/ai-mathematical-olympiad-2-code", "kernel_id": "78517083"}, {"ref": "jarupula/aimo-2-lb-72-solution", "kernel_id": "78942509"}, {"ref": "robinbg/aimo-2-submission-demo-008719", "kernel_id": "78585345"}, {"ref": "dedquoc/ai-amo-price-2-math", "kernel_id": "78793898"}, {"ref": "cavendixh/250320-5", "kernel_id": "78961560"}, {"ref": "cavendixh/250320-4", "kernel_id": "78962926"}, {"ref": "cavendixh/250320-2", "kernel_id": "78903376"}, {"ref": "fernandosr85/aime-2-math-prediction-system", "kernel_id": "78298510"}, {"ref": "smartmanoj/8th-problem", "kernel_id": "78798334"}, {"ref": "smartmanoj/aimo-2-tir", "kernel_id": "78824404"}, {"ref": "smartmanoj/aimo-2", "kernel_id": "78432215"}, {"ref": "camillecampbell/notebook7988fa52b3", "kernel_id": "78837250"}, {"ref": "octaviograu/lb-27-aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "78130640"}, {"ref": "konstantinboyko/bartowski-deepseek-r1-distill-qwen-14b-q8-0", "kernel_id": "78798947"}, {"ref": "konstantinboyko/bartowski-deepseek-r1-distill-qwen-14b-iq4-nl", "kernel_id": "78800539"}, {"ref": "konstantinboyko/script-vllm-0-8-0-not-flash-infer-v09", "kernel_id": "78870616"}, {"ref": "konstantinboyko/aimo2-32a-p12-k16-s8-o1-2-a2-q3x2-1-st1", "kernel_id": "78673744"}, {"ref": "konstantinboyko/aimo-2-qwen-14b-gguf-q4-1-example", "kernel_id": "78742496"}, {"ref": "konstantinboyko/script-vllm-0-8-1-flash-infer-0-2-2-post1", "kernel_id": "78980297"}, {"ref": "konstantinboyko/aimo-2-qwen-7b-gguf-q8-0-example", "kernel_id": "78633404"}, {"ref": "konstantinboyko/aimo2-14a-p12-k24-s8-o1-2-d0-a2-q3x2-1-nd", "kernel_id": "78066075"}, {"ref": "harshityadav229/deepseek-r1-distill-qwen-7b", "kernel_id": "78579968"}, {"ref": "harshityadav229/deepseek-r1-distill-qwen-7b-5dd627", "kernel_id": "78966984"}, {"ref": "tao1sun/baseline-from-lb-deepseek-r1-distill-qwen-7b", "kernel_id": "78552916"}, {"ref": "tao1sun/deepseek-r1-distill-qwen-7b", "kernel_id": "78775857"}, {"ref": "rishikarya/lb-27-aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "78190562"}, {"ref": "tangyipeng100/aimo-2-deepseek-r1-distill-qwen-7b-awq-aac8c2", "kernel_id": "78079060"}, {"ref": "tangyipeng100/vllm-0-7-3-tinyr1-32b-preview-prm-n-1dbd3c", "kernel_id": "78656266"}, {"ref": "tangyipeng100/aimo-2-deepseek-r1-distill-qwen-7b-awq-2c1e81", "kernel_id": "78824632"}, {"ref": "kawchar85/vllm-0-8-1-flashinfer", "kernel_id": "78887380"}, {"ref": "liuwanlong111/aimo-2-deepseek-r1-distill-qwen-7b-awq-f9e070", "kernel_id": "78336415"}, {"ref": "liuwanlong111/final-version-private-score-28", "kernel_id": "78002874"}, {"ref": "liuwanlong111/deepseek-r1-distill-qwen-7b", "kernel_id": "78733841"}, {"ref": "avishekrauniyar/transformer-from-scratch", "kernel_id": "78369970"}, {"ref": "avishekrauniyar/aimo-cha", "kernel_id": "78282887"}, {"ref": "ippeiogawa/generate-code-from-deepseekr1", "kernel_id": "78601252"}, {"ref": "midcarryhz/deepseek-r1-distill-qwen-7b-final", "kernel_id": "78901516"}, {"ref": "helmirinaldi/gogoo", "kernel_id": "78471953"}, {"ref": "helmirinaldi/testing", "kernel_id": "78790562"}, {"ref": "dlondmike/baseline-from-lb-deepseek-r1-distill-qwen-7b", "kernel_id": "78477977"}, {"ref": "farsail/pip-install-aimo2-custom-vllm", "kernel_id": "78376076"}, {"ref": "daltongabrielomondi/aim-deepseek-r1-distill", "kernel_id": "78286074"}, {"ref": "ugotheslayer/deepseek-r1-distill-qwen-7b", "kernel_id": "78621200"}, {"ref": "ugotheslayer/aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "78639994"}, {"ref": "biansun/p25-dehallucination-deepseek-r1-qwen-7b-awq", "kernel_id": "78081295"}, {"ref": "biansun/backup-dehallucination-deepseek-r1-distill-qwen-7", "kernel_id": "78536341"}, {"ref": "qacenn/notebook6625fb602a", "kernel_id": "78125071"}, {"ref": "jahangirhussen/aimo-2-submission-demo", "kernel_id": "78904434"}, {"ref": "tiehr2000/250320-3", "kernel_id": "78963181"}, {"ref": "tiehr2000/lb-27-aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "78169519"}, {"ref": "vinu1729/infinityq-1729", "kernel_id": "78719391"}, {"ref": "tankoldable/distill-qwen-1-5b-guide", "kernel_id": "78612470"}, {"ref": "greenflazh/thought-engineering-r1-distill-qwen-7b-awq", "kernel_id": "78924666"}, {"ref": "kay2304/submission-parquet", "kernel_id": "78569712"}, {"ref": "comicalsansms/deepseek-math-hopefully", "kernel_id": "78875576"}, {"ref": "yunjinyang/lb-27-aimo-2-deepseek-r1-distill-qwen-7b-a3720c", "kernel_id": "78871366"}, {"ref": "guneethpalakurthy/integrity-validation-eeg-only-weights-and-biases", "kernel_id": "78375627"}, {"ref": "guneethpalakurthy/integrity-validation-eeg-weight-bias-batchparams", "kernel_id": "78366289"}, {"ref": "nnofficial/aimo-basic-model", "kernel_id": "78828707"}, {"ref": "mekajanakiram/notebook8d675c1bdd", "kernel_id": "78775598"}, {"ref": "anupamdguy/error404-deepseek-r1-distill-qwen-7b-awq-conv", "kernel_id": "78542424"}, {"ref": "tina19950709/3-14cnn-swin-transformer", "kernel_id": "78565740"}, {"ref": "lianliu07/lb24-deepseek-r1-with-more-prompt-engineering", "kernel_id": "78368601"}, {"ref": "davidccavalcante/maic-him-mathematical-olympiad-solver", "kernel_id": "78964032"}, {"ref": "optimo/vllmengine-early-stopping-method", "kernel_id": "79734919"}, {"ref": "tascj0/aimo2-submit", "kernel_id": "79817510"}, {"ref": "wenliangtlh/aimo2-3-t-sota", "kernel_id": "79761065"}, {"ref": "thisisx7/deepseek-r1-distill-14b-lmdeploy-stream", "kernel_id": "79708531"}, {"ref": "mpware/vllm-0-8-2-flashinfer", "kernel_id": "79324219"}, {"ref": "rsmits/vllm-load-multiple-models", "kernel_id": "79174742"}, {"ref": "rsmits/vllm-0-8-1", "kernel_id": "79153812"}, {"ref": "huikang/r1-distill-qwen-tir", "kernel_id": "79177904"}, {"ref": "dushttt/kaggle-competition", "kernel_id": "79084757"}, {"ref": "stuveee/aimo-lmdeploy", "kernel_id": "79070374"}, {"ref": "cavendixh/250322-1", "kernel_id": "79052323"}, {"ref": "issactai/lb24-deepseek-r1-with-more-prompt-engineering", "kernel_id": "79221632"}, {"ref": "shizhuosun/aimo-2-deepseek-r1-distill-qwen-7b", "kernel_id": "79760170"}, {"ref": "shintarosasaki/o3-mini-scores-10-10-of-reference-with-a-pipeline", "kernel_id": "79486129"}, {"ref": "konstantinboyko/aimo2-14a-p12-k24-s8-o1-2-q3x2-1-minus-nd", "kernel_id": "79040636"}, {"ref": "konstantinboyko/script-vllm-0-8-2-flash-infer-0-2-2-post1", "kernel_id": "79319878"}, {"ref": "konstantinboyko/aimo2-14a-p12-k24-s8-o1-1-a2-q1x4-1-nd-neg", "kernel_id": "79528414"}, {"ref": "konstantinboyko/aimo2-14a-p12-k16-s8-o1-1-a2-q6x2-1-nd", "kernel_id": "79745511"}, {"ref": "konstantinboyko/aimo2-14a-p12-k24-s8-o1-2-a2-q3x2-1-nd-neg", "kernel_id": "79648495"}, {"ref": "harshityadav229/deepseek-r1-distill-qwen-7b-0364ea", "kernel_id": "79098222"}, {"ref": "kikugo/ai-mathematical-olympiad-progress-prize-2", "kernel_id": "79797932"}, {"ref": "carriem7/0329-aimo2-pip", "kernel_id": "79525641"}, {"ref": "carriem7/0401-final-v1", "kernel_id": "79827763"}, {"ref": "bjba99/bj-allmpnetbasev2", "kernel_id": "79234194"}, {"ref": "bulivington/df25-lc-answer-gen-qwen-2-5-32b", "kernel_id": "79876612"}, {"ref": "rishikarya/deepseek-r1-distill-qwen-7b-4bd002", "kernel_id": "79803238"}, {"ref": "tangyipeng100/fork-of-lb-20-qwq-32b-preview-optimized-inferenc", "kernel_id": "79095547"}, {"ref": "kawchar85/aimo-2-submission-demo", "kernel_id": "79076444"}, {"ref": "liuwanlong111/ours-code", "kernel_id": "79072771"}, {"ref": "liuwanlong111/vllm-0-8-0-flashinfer", "kernel_id": "79627309"}, {"ref": "oostg0t/avitotech", "kernel_id": "79803264"}, {"ref": "helmirinaldi/dubais", "kernel_id": "79114412"}, {"ref": "shilehaoduomingzile/mytest10", "kernel_id": "79543544"}, {"ref": "rongxinhuo/deepseek-r1-distill-qwen-7b", "kernel_id": "79014264"}, {"ref": "jiyuanzhang0328/zjy-test", "kernel_id": "79226756"}, {"ref": "a14iiiii/qwen-rag-for-svg", "kernel_id": "79764306"}, {"ref": "vinu1729/project-ramanujan", "kernel_id": "79146922"}, {"ref": "torrentbrave/lmm-r1-empowering-3b-lmms-with-strong-reasoning-a", "kernel_id": "79016602"}, {"ref": "logiclab/aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "79016126"}, {"ref": "mahabualahiatik/vllm-0-7-2", "kernel_id": "79293988"}, {"ref": "shihengxu5/aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "79326716"}, {"ref": "leo15926/aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "79428449"}, {"ref": "siddharth776/deepseek-r1-distill-v3", "kernel_id": "79027640"}, {"ref": "mohamedmagdy198224/notebookf39d5b8c6b", "kernel_id": "79253858"}, {"ref": "tovvelie/vllm-0-8-2", "kernel_id": "80785877"}, {"ref": "ritesh11603/sequential-recommendation-data-gen-3", "kernel_id": "80905095"}, {"ref": "ritesh11603/sequential-recommendation-data-gen-2", "kernel_id": "80903839"}, {"ref": "boristown/lb-0-42-arc2025-qwq32b-tir-objectdetection", "kernel_id": "80219668"}, {"ref": "konstantinboyko/aimo2-14a-p12-k24-s8-o1-1-d0-a2-q3x2-2-nd-kaggle", "kernel_id": "80279025"}, {"ref": "konstantinboyko/aimo2-14a-p12-k24-s8-o1-1-d0-a2-q3x2-2-nd-lb-29", "kernel_id": "80278494"}, {"ref": "mavicbf/3rd-place-solution-aliev", "kernel_id": "80862969"}, {"ref": "carriem7/aime-2025", "kernel_id": "80529849"}, {"ref": "carriem7/fork-of-0401-final-v1-post-comp", "kernel_id": "80528230"}, {"ref": "atharvasardal/ap-data-gen-2", "kernel_id": "80862601"}, {"ref": "atharvasardal/ap-data-gen-3", "kernel_id": "80897563"}, {"ref": "specularaura/data-gen-attribute-value-extraction", "kernel_id": "80823679"}, {"ref": "atharvakhanvilkar112/data-gen-7", "kernel_id": "80825975"}, {"ref": "dyotak/product-substitute-identification-data-gen", "kernel_id": "80829470"}, {"ref": "dyotak/sequential-recommendation-data-gen", "kernel_id": "80840334"}, {"ref": "riteshbhalerao/data-gen-mats", "kernel_id": "80822472"}, {"ref": "bolt11/dl-project", "kernel_id": "80916821"}, {"ref": "riyadurg/data-gen-2", "kernel_id": "80896046"}, {"ref": "riyadurg/data-gen-6", "kernel_id": "80896193"}, {"ref": "sayaliiiiii/data-gen-sentiment-analysis", "kernel_id": "80841478"}, {"ref": "sayaliiiiii/data-gen-attribute-value-extraction", "kernel_id": "80889883"}, {"ref": "aaklni/data-gen-product-relation-prediction", "kernel_id": "80827520"}, {"ref": "youyc22/imagination-research-2nd-place-solution", "kernel_id": "80712738"}, {"ref": "kevinwang1434/merge-example", "kernel_id": "80875658"}, {"ref": "leo15926/grpotrainer-deepseekr1-300d89", "kernel_id": "80765582"}, {"ref": "leo15926/ai-math-olympiad-training-deepseek-r1-32b-sft", "kernel_id": "80327638"}, {"ref": "riteshbhaleraoves/data-gen-3", "kernel_id": "80822785"}, {"ref": "dyotakk/answerability-prediction-data-gen", "kernel_id": "80842393"}, {"ref": "riteshslurm/sequential-recommendation-data-gen-4", "kernel_id": "80905200"}, {"ref": "riteshslurm/sequential-recommendation-data-gen-5", "kernel_id": "80905268"}, {"ref": "riteshwa/ap-data-gen-4", "kernel_id": "80905387"}, {"ref": "sorenravn/aimo-2-4th-place", "kernel_id": "81040591"}, {"ref": "stuveee/deprecated-aimo2-throughput", "kernel_id": "81083681"}, {"ref": "lamdo2k3/translate-esg", "kernel_id": "81054071"}, {"ref": "alphadua/quantize-autogptq-awq", "kernel_id": "81857421"}, {"ref": "tharunyakatikireddy/notebookabd1853918", "kernel_id": "81657393"}, {"ref": "hanzhuooyan/aimo-2-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "81095858"}, {"ref": "darraghdog/rerun-nemo-skills-qwen2-5-14b-mix48-trtllm-redra", "kernel_id": "82948849"}, {"ref": "darraghdog/rerun2-nemo-skills-qwen2-5-14b-mix48-trtllm", "kernel_id": "82952561"}, {"ref": "stuveee/aimo2-throughput-sglang-lmdeploy-vllm", "kernel_id": "82535397"}, {"ref": "ducnh279/kacs1-offline-inference", "kernel_id": "82647681"}, {"ref": "ducnh279/kacs1-fine-tuning-qwen2-5-14b", "kernel_id": "82647479"}, {"ref": "ducnh279/kacs1-fine-tuning-qwen3-14b", "kernel_id": "82646983"}, {"ref": "bolt11/dl-end-project", "kernel_id": "82178064"}, {"ref": "leo15926/grpotrainer-qwen3", "kernel_id": "82254697"}, {"ref": "leo15926/sglang-qwen3-30b-a3b", "kernel_id": "82227293"}, {"ref": "hongminhlng/1st-place-kacs1-training", "kernel_id": "83822055"}, {"ref": "biansun/vllm-test-image-llava", "kernel_id": "83065774"}, {"ref": "ltgbao04/train-ddp", "kernel_id": "83035577"}, {"ref": "giaboltrn/vulgen-gpu-succes-rate", "kernel_id": "84158008"}, {"ref": "cardata/ai-mathematicak-olympaid-may25", "kernel_id": "84251285"}, {"ref": "ltgbao/vulgen-gpu-succes-rate", "kernel_id": "84374479"}, {"ref": "salmanhabeeb/vllm-with-transformers", "kernel_id": "85716374"}, {"ref": "rguigmohamed/qwen2-5-math-1-5b-instruct", "kernel_id": "85200270"}, {"ref": "hongminhlng/whipser-aic2025", "kernel_id": "85236267"}, {"ref": "danganhdat/siglip-task-former", "kernel_id": "85899848"}, {"ref": "torrentbrave/g-research-crypto-forecasting-getting-1m-data", "kernel_id": "85727278"}, {"ref": "torrentbrave/qwen3-fine-tune-and-rl", "kernel_id": "85963976"}, {"ref": "torrentbrave/eid-al-adha-2025-vit-convnext-pipline", "kernel_id": "85446633"}, {"ref": "nkuakir33/1st-place-kacs1-training", "kernel_id": "85750696"}, {"ref": "darraghdog/tensorrt-llm-openmath-nemotron-7b-int8-trtllm", "kernel_id": "86549032"}, {"ref": "darraghdog/demo-trtllm-l40-v00", "kernel_id": "86727517"}, {"ref": "darraghdog/demo-trtllm-l40-v01", "kernel_id": "86729710"}, {"ref": "darraghdog/redrafter-redrafter-openmath-nemotron-14b-kaggle", "kernel_id": "86275960"}, {"ref": "darraghdog/tensorrt-llm-cp311-wheel", "kernel_id": "86365187"}, {"ref": "priyanshuss9913/vlm-desc-gen-cleaned", "kernel_id": "86376098"}, {"ref": "theone0121/approach-2-triplet", "kernel_id": "86109635"}, {"ref": "nguynkoi/vivqa-gptoss-dam", "kernel_id": "87694877"}, {"ref": "thameralharbi/subtask-2-authorship-identification-baseline-gpus", "kernel_id": "87423634"}, {"ref": "thameralharbi/arageneval-subtask3-aratect", "kernel_id": "87496200"}, {"ref": "haitran172/re-reading", "kernel_id": "88047114"}, {"ref": "jakeclark38a/smart-contract-soliaudit-adv-6labels", "kernel_id": "88634851"}, {"ref": "jakeclark38a/smart-contract-soliaudit-adv-5labels", "kernel_id": "89284630"}, {"ref": "caohuyenmy/commute-multi-thread", "kernel_id": "90849745"}, {"ref": "mnthbchphng/mmcof-model-anhtu-loso-casme-5label", "kernel_id": "90399883"}, {"ref": "huikang/pip-install-arc-agi-2", "kernel_id": "91511611"}, {"ref": "ltrngialc/l4-aic-fusion", "kernel_id": "91427369"}, {"ref": "caohuyenmy/n0-commute-1", "kernel_id": "91567828"}, {"ref": "caohuyenmy/n0-commute", "kernel_id": "91526999"}, {"ref": "caohuyenmy/commute-m", "kernel_id": "91769075"}, {"ref": "pedjamy/beta-commute", "kernel_id": "91577448"}, {"ref": "pedjamy/commute-multi-thread", "kernel_id": "91335824"}, {"ref": "huyenmy173/commute-m", "kernel_id": "91500910"}, {"ref": "ltrngialc/vllm-4gpu-xbai04-4bit", "kernel_id": "92322842"}, {"ref": "jakeclark38a/vllm-server-network", "kernel_id": "92330980"}, {"ref": "comga999ms/vllm-openai-kaggle-4gpu", "kernel_id": "92654583"}, {"ref": "khuongvutramanh/mmcof-model-anhtu-loso-meww-7label", "kernel_id": "93579290"}, {"ref": "khuongvutramanh/mmcof-loso-samm", "kernel_id": "93568285"}, {"ref": "tramanh1511/mmcof-model-anhtu-loso-meww-4labels", "kernel_id": "93664537"}, {"ref": "tramanh1511tn/mmcof-model-anhtu-loso-meww-4labels-7c1a5a", "kernel_id": "93782351"}, {"ref": "vigneshwar472/gemma-3n-e4b-it-unsloth-bnb-4bit-inference", "kernel_id": "94795332"}, {"ref": "pedjamy/nkptlasso", "kernel_id": "95111841"}, {"ref": "tritlphmminh/autoshot-fn", "kernel_id": "96637696"}, {"ref": "shubham068/tir-strat-modified", "kernel_id": "104938945"}, {"ref": "kaggleqrdl/self-consistency-strategy-tir-as-it-is-logs", "kernel_id": "104412628"}, {"ref": "sarahmarin/calculator-py", "kernel_id": "105878301"}, {"ref": "kooaslansefat/agentic-ai-with-langgraph-uncertainty", "kernel_id": "109861074"}, {"ref": "kohkaichunsamuel/qwen2-5-72b-instruct-with-tir", "kernel_id": "113698349"}]}
{"competition_id": "86046", "kernels": []}
{"competition_id": "86057", "kernels": [{"ref": "juniorbertrand/autogluon-baseline", "kernel_id": "66899211"}, {"ref": "craigmthomas/caqp-2024-eda-models", "kernel_id": "67061554"}, {"ref": "enisezengin/autogluon-privatescore-2-97008", "kernel_id": "69449908"}]}
{"competition_id": "86067", "kernels": []}
{"competition_id": "86068", "kernels": []}
{"competition_id": "86092", "kernels": [{"ref": "aliziarezai/predicting-cirrhosis-outcomes", "kernel_id": "76616713"}, {"ref": "malihamuradi2/predicting-cirrhosis-outcomes-2025", "kernel_id": "76067186"}, {"ref": "kanepavlovich/predicting-cirrhosis-outcomes", "kernel_id": "91137441"}]}
{"competition_id": "86142", "kernels": [{"ref": "aryankaushik005/image-segmentation01", "kernel_id": "66988411"}, {"ref": "raunitpatel/iit-ps-2", "kernel_id": "67320850"}, {"ref": "weirdanalyst/sample-submission", "kernel_id": "67140867"}, {"ref": "chetnyasharma/5-simpler-model", "kernel_id": "67256846"}, {"ref": "chetnyasharma/4-unet-with-efficientnet", "kernel_id": "67247112"}, {"ref": "shayakbhattacharya/final-try", "kernel_id": "67243648"}, {"ref": "silver13/notebooka7b4e148f4", "kernel_id": "67380447"}, {"ref": "sakshi113114/inter-camp", "kernel_id": "67173845"}, {"ref": "shubham1101singhal/notebook8473d4c65a", "kernel_id": "67280906"}, {"ref": "shubham1101singhal/shubhamsinghal", "kernel_id": "67374194"}, {"ref": "saanchigupta/notebook0719444a30", "kernel_id": "67115101"}, {"ref": "saanchigupta/notebookccb35d6297", "kernel_id": "67255883"}, {"ref": "mithilsandhineni/image-segmentation", "kernel_id": "67317789"}, {"ref": "sagnikdebnath007/ablation-study-on-batch-size-optimizers", "kernel_id": "69246651"}]}
{"competition_id": "86182", "kernels": []}
{"competition_id": "86187", "kernels": []}
{"competition_id": "86199", "kernels": []}
{"competition_id": "86200", "kernels": [{"ref": "brainiac2677/neural-network-from-scratch-in-pytorch-workshop-1", "kernel_id": "67361150"}, {"ref": "brainiac2677/nanogpt-workshop-1", "kernel_id": "67308186"}, {"ref": "asibrahman/workshop-1-prompt-tuning", "kernel_id": "67115278"}, {"ref": "asibrahman/deepseekmath-finetuning", "kernel_id": "67319742"}, {"ref": "shourovj/peft-fine-tuning-and-inference-of-deepseek-math-7b", "kernel_id": "67317132"}, {"ref": "mahfuzulkabirsourav/qlora-fine-tuning-deepseek-ai-7b-instruct", "kernel_id": "67214849"}, {"ref": "mahfuzulkabirsourav/faster-inference-batched-using-t4x2", "kernel_id": "67601572"}, {"ref": "risenfromashes/workshop-2-rag", "kernel_id": "67894315"}, {"ref": "risenfromashes/workshop-2-tir", "kernel_id": "67894459"}, {"ref": "risenfromashes/starter-notebook-dl-sprint-3-0", "kernel_id": "67016197"}, {"ref": "mdtamimiqbal/deepseekmath-finetuning", "kernel_id": "67654476"}, {"ref": "umongsain/qwen2-5-codeact-with-beam-search", "kernel_id": "68873051"}, {"ref": "kamruzzamanasif/team-free-palestine-training-notebook", "kernel_id": "68777750"}, {"ref": "kamruzzamanasif/team-free-palestine-continued-pretraining-notebook", "kernel_id": "68516255"}, {"ref": "umongsain/qwen2-5-multi-agent-system", "kernel_id": "69133197"}, {"ref": "istiaqahmedfahad/team-free-palestine-inference-notebook", "kernel_id": "69289425"}, {"ref": "moshahedparvez/mathsolver-1-0", "kernel_id": "69356783"}, {"ref": "kamruzzamanasif/team-free-palestine-translation-model-training", "kernel_id": "69519481"}, {"ref": "kamruzzamanasif/team-free-palestine-model-merge-notebook", "kernel_id": "69260156"}, {"ref": "nazmussakibnafiz/dl-walk-dl-sprint-3-0", "kernel_id": "69655630"}, {"ref": "dipit099/dl-sprint-3-0-final-score-80", "kernel_id": "69505374"}, {"ref": "rwdnaswan/workshop-2-tir", "kernel_id": "69303417"}, {"ref": "aliasifkhan131/use-of-bengali-embedded-problems", "kernel_id": "69518578"}, {"ref": "saadtahmid/qwen32-tir", "kernel_id": "69514880"}, {"ref": "sadiatasnim013/submit1", "kernel_id": "69379701"}, {"ref": "zhnrhn/workshop-2-rag", "kernel_id": "69302943"}, {"ref": "zhnrhn/inference-notebook", "kernel_id": "69319034"}, {"ref": "amimulehsan1/qwen-32-b", "kernel_id": "70110442"}, {"ref": "nafisnahian/dl-sprint-3-0-notebook", "kernel_id": "76929906"}, {"ref": "mezbah1234/qwen2-5-codeact-with-beam-search", "kernel_id": "95511779"}, {"ref": "eyaminhossain/t5-model-finetuning", "kernel_id": "108129727"}, {"ref": "codephy/notebook1", "kernel_id": "108680434"}]}
{"competition_id": "86213", "kernels": []}
{"competition_id": "86218", "kernels": []}
{"competition_id": "86233", "kernels": []}
{"competition_id": "86268", "kernels": []}
{"competition_id": "86269", "kernels": []}
{"competition_id": "86270", "kernels": []}
{"competition_id": "86271", "kernels": []}
{"competition_id": "86272", "kernels": []}
{"competition_id": "86276", "kernels": []}
{"competition_id": "86287", "kernels": []}
{"competition_id": "86288", "kernels": []}
{"competition_id": "86308", "kernels": []}
{"competition_id": "86341", "kernels": [{"ref": "charlie9578/benchmark-median-wind-speed", "kernel_id": "67175055"}, {"ref": "charlie9578/linear-regression", "kernel_id": "67324109"}, {"ref": "harryplumley/simple-lstm", "kernel_id": "67220061"}, {"ref": "charlie9578/various-multilinear-methods", "kernel_id": "68098731"}, {"ref": "harryplumley/improved-lstm", "kernel_id": "71183237"}, {"ref": "stevenridder/notebook7ab8480f09", "kernel_id": "71258635"}, {"ref": "johnlaios/lgbm-regressor", "kernel_id": "72082459"}, {"ref": "charlie9578/machine-learning-methods", "kernel_id": "73024924"}, {"ref": "johnnyhyland/kelmarsh-xgb-automl", "kernel_id": "73918393"}, {"ref": "harryplumley/flaml", "kernel_id": "73040917"}, {"ref": "harryplumley/autogluon", "kernel_id": "73836963"}, {"ref": "johnlaios/enhanced-lightgbm", "kernel_id": "74821243"}]}
{"competition_id": "86353", "kernels": []}
{"competition_id": "86375", "kernels": [{"ref": "triples24/task2", "kernel_id": "67369768"}, {"ref": "adityasaiv/dl-mat", "kernel_id": "70775169"}, {"ref": "marius2303/top-36-dl-2024autum-exp2-cnn", "kernel_id": "72271571"}]}
{"competition_id": "86385", "kernels": []}
{"competition_id": "86387", "kernels": []}
{"competition_id": "86407", "kernels": []}
{"competition_id": "86411", "kernels": [{"ref": "zakirkhanaleemi/lux-ai-season-starter-notebook", "kernel_id": "72637207"}, {"ref": "jmerle/lux-eye-s3-notebook-integration", "kernel_id": "72801827"}, {"ref": "stephenmurph/neurips-heuristic-logics-added", "kernel_id": "72675842"}, {"ref": "stephenmurph/run-multiple-agents-tweak-params", "kernel_id": "72859727"}, {"ref": "egrehbbt/relicbound-bot-for-lux-ai-s3-competition", "kernel_id": "72978674"}, {"ref": "stonet2000/lux-ai-season-3-python-starter-notebook", "kernel_id": "72343202"}, {"ref": "keshabkkumar/neurips-2024-lux-ai-season-3", "kernel_id": "72934118"}, {"ref": "stemosamaghandour/neurips-2024-lux-ai-season-3-by-python-stemer", "kernel_id": "72693520"}, {"ref": "abdullah0a/lux-ai-creating-agent", "kernel_id": "72717145"}, {"ref": "krishnayadav456wrsty/quantumexplorer-lux-ai-dominator", "kernel_id": "72979105"}, {"ref": "kuto0633/lux-ai-s3-download-episodes-from-meta-kaggle", "kernel_id": "73318714"}, {"ref": "mcusac/lux-ai-season-3-python-starter-notebook", "kernel_id": "73166797"}, {"ref": "nmatsumoto24/lux-ai-season3", "kernel_id": "73076562"}, {"ref": "sangrampatil5150/nuralbrain-v0-5-1-model-train-and-win", "kernel_id": "73531040"}, {"ref": "sangrampatil5150/model-with-nuralbrain", "kernel_id": "73308217"}, {"ref": "kurupical/jax-gpu-vs-cpu-environment-benchmark", "kernel_id": "74993327"}, {"ref": "siposhaw/relicbound-bot-for-lux-ai-s3-competition", "kernel_id": "74415768"}, {"ref": "ankitupadhyay12/lux-ai-s3-starter-ppo-model", "kernel_id": "74457550"}, {"ref": "shreyasraghav/luxai-agent-jargon", "kernel_id": "74526510"}, {"ref": "shreyasraghav/luxai-season-3-bot-development-guide", "kernel_id": "74711507"}, {"ref": "orientearlgrey/step-by-step-debugging", "kernel_id": "74395407"}, {"ref": "maxread7/relictrain", "kernel_id": "74601678"}, {"ref": "junhanzangai/simple-ppo-training", "kernel_id": "75439284"}, {"ref": "mohamedmustafashaban/lux-ai-season-3", "kernel_id": "75321670"}, {"ref": "praveenkaushik80/neurips", "kernel_id": "76939888"}, {"ref": "praveenkaushik80/relicbound", "kernel_id": "76911287"}, {"ref": "scchuy/lux-s3-simpledoubledqn", "kernel_id": "76049714"}, {"ref": "tsuyoshichiba/relicbound-bot-for-lux-ai-s3-competition", "kernel_id": "76228094"}, {"ref": "alimashoud/my-work", "kernel_id": "76016584"}, {"ref": "abidmohamednadhir/nuralbrain-v0-8-model-working-train-and-win", "kernel_id": "76577399"}, {"ref": "abidmohamednadhir/unmasking-the-dqn-a-shap-powered-journey-through", "kernel_id": "76827681"}, {"ref": "aniruddhmubayi/submission-py", "kernel_id": "76983644"}, {"ref": "yizhewang3/ppo-stable-baselines3", "kernel_id": "76004158"}, {"ref": "zahid1/reward-map-with-bayes-updates", "kernel_id": "77765756"}, {"ref": "cybertiger7/relicbound-bot-for-lux-ai-s3-competition", "kernel_id": "77554286"}, {"ref": "dedquoc/lux-ai-season-3-with-jax-gpu", "kernel_id": "77421502"}, {"ref": "zhiyuchengbing/ppo-stable-baselines3", "kernel_id": "77639586"}, {"ref": "kosirowada/rulebaseagent-92th-solution", "kernel_id": "78319103"}, {"ref": "arpit1bansal/lux-ai-s3-competition-v4", "kernel_id": "79352736"}, {"ref": "bahmutsky/notebook4026c6b3a3", "kernel_id": "87015214"}]}
{"competition_id": "86437", "kernels": []}
{"competition_id": "86463", "kernels": []}
{"competition_id": "86473", "kernels": []}
{"competition_id": "86482", "kernels": []}
{"competition_id": "86499", "kernels": []}
{"competition_id": "86504", "kernels": []}
{"competition_id": "86517", "kernels": []}
{"competition_id": "86518", "kernels": [{"ref": "rahmakallel/starter-xgboost-inference", "kernel_id": "61893426"}, {"ref": "duohanwang/inference-gemma-2-9b-4-bit-qlora-6b251d", "kernel_id": "63013207"}, {"ref": "seshurajup/sample-submission", "kernel_id": "67942686"}, {"ref": "addisonhoward/lmsys-kerasnlp-starter", "kernel_id": "67912374"}, {"ref": "rvdrdx/inference-llama-3-8b", "kernel_id": "68602477"}, {"ref": "mpwolke/model-s-battles-on-llm-finetuning", "kernel_id": "68041011"}, {"ref": "lonnieqin/llm-classification-finetuning-with-cnn", "kernel_id": "68911471"}, {"ref": "salmarashwan/predicting-chatbot-response-preferences-with-llms", "kernel_id": "68827533"}, {"ref": "thefach/notebook286b23b529", "kernel_id": "68825024"}, {"ref": "buildmeamodel/llmmodel", "kernel_id": "68129941"}, {"ref": "scarletgg25/1st-trial", "kernel_id": "68914557"}, {"ref": "vishnupriyagarige/llm-classification-finetuning-xgb", "kernel_id": "69422830"}, {"ref": "mdadnan8914/llm-classification-fine-tuning", "kernel_id": "69296751"}, {"ref": "mabdallahmohamed/notebook45a0bf2127", "kernel_id": "69166051"}, {"ref": "alfazick/less-is-more", "kernel_id": "71817479"}, {"ref": "nikhilnb08/llm-classification-feature-engineering-xgboost", "kernel_id": "71887152"}, {"ref": "arnrob/llm-classification-finetuning-xgboost", "kernel_id": "71491230"}, {"ref": "mirzamilanfarabi/wsdm-chatbot-v1-0", "kernel_id": "71068825"}, {"ref": "carlacotas/llm-classification-finetuning", "kernel_id": "71338551"}, {"ref": "blue0924/finetuning-test2", "kernel_id": "71829010"}, {"ref": "lilianart29/llm-classification-finetuning-1224", "kernel_id": "71831123"}, {"ref": "nkululekomnxeba/mnxeba-llm-c", "kernel_id": "71760935"}, {"ref": "giraldonainggolan/llm-classification-finetuning", "kernel_id": "71867930"}, {"ref": "hungchunchang/group-30-fine-tuning", "kernel_id": "71382350"}, {"ref": "m134020038/llm-classifaction", "kernel_id": "71989491"}, {"ref": "gaoyeechen/chatbot-data-visualization-and-analysis", "kernel_id": "71743641"}, {"ref": "hopechen0926/term-project", "kernel_id": "71817329"}, {"ref": "nandinigantayat/notebook176cbac09f", "kernel_id": "72994265"}, {"ref": "abhinavsharma0706/llm-llm-7", "kernel_id": "72796271"}, {"ref": "abhinavsharma0706/llm-llm", "kernel_id": "72721751"}, {"ref": "ziyonaressker/1201-copy-of-nlp-termproject-lab", "kernel_id": "72027469"}, {"ref": "gallo33henrique/llm-classification-finetuning-ml-lightgbm", "kernel_id": "72569024"}, {"ref": "jackkll/copy-lmsys-kerasnlp-starter", "kernel_id": "72256903"}, {"ref": "akemiii/1-hf-data", "kernel_id": "72609321"}, {"ref": "akemiii/data-preparing", "kernel_id": "72621043"}, {"ref": "akemiii/hf-data", "kernel_id": "72501169"}, {"ref": "dianweilai/notebook9e8df3f734", "kernel_id": "72450858"}, {"ref": "m134020038/llm-classification-bert", "kernel_id": "72844151"}, {"ref": "matthieuouvrard/notebook4e02c03249-ilumnia", "kernel_id": "72882869"}, {"ref": "chiao23/llm-classification-finetuning-cp1", "kernel_id": "72080629"}, {"ref": "tensorfrog/notebook5b00cd0e32", "kernel_id": "72303906"}, {"ref": "tensorfrog/llm-classification-finetuning-with-cnn-copy", "kernel_id": "72291592"}, {"ref": "kevinsmith94624/notebook398c6da2af", "kernel_id": "72496670"}, {"ref": "aalvinyeung/llm-inference-v11", "kernel_id": "73985677"}, {"ref": "huanligong/llm-classification-finetuning-lgbmclassifier", "kernel_id": "73869327"}, {"ref": "gauthampnair/finetuning-llm-outputs-with-transformers", "kernel_id": "73377092"}, {"ref": "bdzyz122/notebook0def7d5d0e", "kernel_id": "73578722"}, {"ref": "bdzyz122/notebookadf9aab053", "kernel_id": "73559411"}, {"ref": "joanna12345/data-prepare", "kernel_id": "73469388"}, {"ref": "sinchanaganesh/llm-finetuning", "kernel_id": "73526364"}, {"ref": "mosaadhendam/fine-tuning-llms-for-classification-using-lightgbm", "kernel_id": "73164942"}, {"ref": "yulunfeng/submit-ver", "kernel_id": "73017778"}, {"ref": "yulunfeng/gpt-neo", "kernel_id": "73901230"}, {"ref": "akemiii/final-llm-submission", "kernel_id": "73618328"}, {"ref": "akemiii/fork-of-hf-data", "kernel_id": "73628905"}, {"ref": "alanbovo/llm-classification-finetuning", "kernel_id": "73483366"}, {"ref": "chiao23/lda-version", "kernel_id": "73164744"}, {"ref": "tareesh000m/gb656", "kernel_id": "73119953"}, {"ref": "chenx1wang/notebooke63ed2c097", "kernel_id": "73555353"}, {"ref": "kawtarbenyahya/llm-classification-benyahya-kawtar", "kernel_id": "73809261"}, {"ref": "brianedwards/llm-classification-finetuning-3", "kernel_id": "74650388"}, {"ref": "mucahit23/llm-finetuning-2025", "kernel_id": "74144073"}, {"ref": "nawreshamrouni/finetune-llms", "kernel_id": "74394945"}, {"ref": "chanchal24/mental-health-chatbot", "kernel_id": "74508973"}, {"ref": "syednazmussakib/lgbm-baseline", "kernel_id": "74202243"}, {"ref": "syednazmussakib/automl-pycaret", "kernel_id": "74203312"}, {"ref": "syednazmussakib/simple-analysis", "kernel_id": "74179553"}, {"ref": "atefemahdaviadel/llm-classification-finetuning", "kernel_id": "74325640"}, {"ref": "atefemahdaviadel/kaggle-llm-project", "kernel_id": "74994800"}, {"ref": "priyagurjar198922/llm-classification-new", "kernel_id": "74718500"}, {"ref": "poojamaheshwarii/llm-3397", "kernel_id": "74543624"}, {"ref": "carlacotas/llm-classification-finetuning-version-3-0", "kernel_id": "75572031"}, {"ref": "victorbulgarov/llm-classification-finetuning2-vb", "kernel_id": "75245839"}, {"ref": "vladlen32230/preference-debertav3-lora", "kernel_id": "75805128"}, {"ref": "raspri/llm-classification-finetuning-bert-w-pytorch", "kernel_id": "75478124"}, {"ref": "linheshen/inference-llama-3-8b", "kernel_id": "75346870"}, {"ref": "linheshen/infer-llm", "kernel_id": "75340377"}, {"ref": "linheshen/fine-tune", "kernel_id": "75331048"}, {"ref": "whyisshizai/train-and-inference-llama-3-2-1b-3b", "kernel_id": "75861992"}, {"ref": "jakubkrasuski/llm-chatbot-arena-predicting-user-preferences", "kernel_id": "75863324"}, {"ref": "naincy1910/llm-class-submission", "kernel_id": "75703194"}, {"ref": "rvldfr/inference-lora-llama-3-8b-chat-hf", "kernel_id": "76069044"}, {"ref": "rvldfr/tpu-train-lora-llama-3-8b-chat-hf", "kernel_id": "76052841"}, {"ref": "rvldfr/inference-dora-llama-3-8b-chat-hf", "kernel_id": "76152974"}, {"ref": "rvldfr/tpu-train-dora-llama-3-8b-chat-hf", "kernel_id": "76153040"}, {"ref": "sunderekkiz/bert-for-classification", "kernel_id": "76510738"}, {"ref": "youjunchao/kerasnlp", "kernel_id": "76794701"}, {"ref": "konradykowski/basic-attention-implementation", "kernel_id": "76856477"}, {"ref": "whyisshizai/llama3-pip", "kernel_id": "76834363"}, {"ref": "whyisshizai/llama3-2-1b-train", "kernel_id": "76887868"}, {"ref": "whyisshizai/ddp-lora-train-llama3-2-3b", "kernel_id": "76950750"}, {"ref": "ainidr25/1-13-training-llama-dora-8-5", "kernel_id": "76348727"}, {"ref": "ainidr25/llm-classification-finetuning-llama-3-tpu-train2", "kernel_id": "76315466"}, {"ref": "xiaoyangjiangkit/finetuning-test", "kernel_id": "76992735"}, {"ref": "eshamishra01/class-assignment-1", "kernel_id": "76724150"}, {"ref": "miyakawa2286/winning-rate-of-each-model", "kernel_id": "77853029"}, {"ref": "rhaianycezar/chatbot-arena-preference-prediction-llms", "kernel_id": "77411631"}, {"ref": "sunderekkiz/inference-llama-3-8b", "kernel_id": "77912665"}, {"ref": "majestycattish/lmsys-kerasnlp-with-2-fold-cross-validation", "kernel_id": "77654925"}, {"ref": "ananthta04/notebook1ff6cf4223", "kernel_id": "77935281"}, {"ref": "terencetsg/log-regression-tf-idf", "kernel_id": "77869250"}, {"ref": "whyisshizai/in-test-gemma-2b", "kernel_id": "77498961"}, {"ref": "whyisshizai/qwen3-8b-model", "kernel_id": "77040777"}, {"ref": "ldausl/finetuning-test2", "kernel_id": "77631579"}, {"ref": "yussufkadir/llm-winner-model", "kernel_id": "78924916"}, {"ref": "tamareltech/llm-classification-finetuning-ml-lightgbm", "kernel_id": "78249428"}, {"ref": "yanghaozengzack/bert-for-classification", "kernel_id": "78230153"}, {"ref": "serhiiyanovskii1/notebookcb5fc6d051", "kernel_id": "78619573"}, {"ref": "terencetsg/roberta", "kernel_id": "78929056"}, {"ref": "whyisshizai/finetuning", "kernel_id": "78876334"}, {"ref": "soheesoso/llm-classification-finetuning", "kernel_id": "78773840"}, {"ref": "carolyyy/llm-classification-finetuning-with-xgboost", "kernel_id": "78423897"}, {"ref": "hiranorm/lmsys-kerasnlp-starter", "kernel_id": "78019811"}, {"ref": "piaojinxue/nlp-deepseek", "kernel_id": "78495078"}, {"ref": "ddbrao11/llm-classification-finetuning", "kernel_id": "79190791"}, {"ref": "yousrakateb/notebook109dc1d9e5", "kernel_id": "79220029"}, {"ref": "shramanhazra/my-model", "kernel_id": "79601442"}, {"ref": "stardewcvalley/llm-class-ft", "kernel_id": "79319494"}, {"ref": "stardewcvalley/llm-class-ft-7-optimized-py", "kernel_id": "79908281"}, {"ref": "bchien/bi-lstm-with-attention", "kernel_id": "79503529"}, {"ref": "matthewband/llm-classification-submission-code", "kernel_id": "79650849"}, {"ref": "payal156/llama-3-8b-llm-classification-finetuning", "kernel_id": "79152679"}, {"ref": "cezaryszulc/llm-embedding-classification", "kernel_id": "80861188"}, {"ref": "dingcongcong/llm-classification", "kernel_id": "80418983"}, {"ref": "rishimurudkar/llm-classification-finetuning-rishimurudkar", "kernel_id": "80252307"}, {"ref": "gurramgopichandh/llm-classification", "kernel_id": "80011502"}, {"ref": "ayush4549/llmclassification", "kernel_id": "80733955"}, {"ref": "brunoflausino/notebook61eflausino", "kernel_id": "80849722"}, {"ref": "kaikrings/llm-classification-finetuning-inference", "kernel_id": "80916267"}, {"ref": "kaikrings/llm-classification-finetuning-training", "kernel_id": "80912157"}, {"ref": "jaysurender/notebook316ffc01a8", "kernel_id": "80056832"}, {"ref": "chrisp04/test4", "kernel_id": "80660376"}, {"ref": "chrisp04/test3", "kernel_id": "80634432"}, {"ref": "riju3107/reinforced-learning-by-human-factor-rlhf", "kernel_id": "81711964"}, {"ref": "adarshsingh0903/llm-classification-finetuning-logistic-regression", "kernel_id": "81351567"}, {"ref": "morusaivenkat/notebook4145e77445", "kernel_id": "81105215"}, {"ref": "harshamusunuru/notebook557eda9361", "kernel_id": "81106172"}, {"ref": "maneelm/notebook33d00f9403", "kernel_id": "81106987"}, {"ref": "gnaneswar2200031765/notebook8c9e596f3f", "kernel_id": "81094063"}, {"ref": "ultramans/binary-classification-logistic-regression", "kernel_id": "81679020"}, {"ref": "quezaltendes/baseline-xgb", "kernel_id": "81790554"}, {"ref": "coderkr/llm-classification-finetuning", "kernel_id": "81687539"}, {"ref": "mariamisayan/notebook76b9314ecd", "kernel_id": "81797632"}, {"ref": "somilmigasa/mysubmission", "kernel_id": "81391707"}, {"ref": "deepakkasineni18/notebookeb8de77646", "kernel_id": "81171036"}, {"ref": "deepakkasineni18/notebook4b4537974f", "kernel_id": "81170488"}, {"ref": "bhekumusaeric/notebookab7194ae49", "kernel_id": "81669967"}, {"ref": "kanakbaghel/winner-model-analysis", "kernel_id": "81857822"}, {"ref": "mridulmahajan4/llm-classification-finetuning", "kernel_id": "81844970"}, {"ref": "pakgyeongrok/fine-tuning-version1", "kernel_id": "82222218"}, {"ref": "hoangvu132/hcmus-2025-24c15034-debertav3-finetuning", "kernel_id": "82726666"}, {"ref": "reidnersantos/llm-classification-finetuning", "kernel_id": "82920804"}, {"ref": "rvldfr/1-7-training-llama-lora-16-5", "kernel_id": "82486664"}, {"ref": "rvldfr/1-8-training-llama-lora-16-3", "kernel_id": "82527866"}, {"ref": "rvldfr/1-7-inference-llama-lora-16-5", "kernel_id": "82525151"}, {"ref": "rvldfr/1-4-inference-llama-lora-8-5", "kernel_id": "82549287"}, {"ref": "rvldfr/1-4-training-llama-lora-8-5", "kernel_id": "82540529"}, {"ref": "rvldfr/1-9-inference-llama-lora-16-2", "kernel_id": "82538966"}, {"ref": "rvldfr/1-9-training-llama-lora-16-2", "kernel_id": "82534512"}, {"ref": "rvldfr/1-8-inference-llama-lora-16-3", "kernel_id": "82532105"}, {"ref": "rvldfr/1-5-training-llama-lora-8-3", "kernel_id": "82610297"}, {"ref": "rvldfr/1-6-training-llama-lora-8-2", "kernel_id": "82616951"}, {"ref": "rvldfr/1-1-training-3-8b-chat-hf-lora-4", "kernel_id": "82634443"}, {"ref": "rvldfr/1-2-inference-llama-lora-4-3", "kernel_id": "82728447"}, {"ref": "rvldfr/1-3-inference-llama-lora-4-2", "kernel_id": "82728512"}, {"ref": "rvldfr/1-6-inference-llama-lora-8-2", "kernel_id": "82726631"}, {"ref": "rvldfr/1-1-inference-llama-lora-4-5", "kernel_id": "82726827"}, {"ref": "rvldfr/1-5-inference-llama-lora-8-3", "kernel_id": "82726394"}, {"ref": "rvldfr/test-gemma-2-9b-training-tpu", "kernel_id": "82729626"}, {"ref": "rvldfr/test-training-gemma-2-9b-4-bit-qlora", "kernel_id": "82732754"}, {"ref": "rvldfr/1-3-training-llama-lora-4-2", "kernel_id": "82654153"}, {"ref": "rvldfr/1-2-training-llama-lora-4-3", "kernel_id": "82648792"}, {"ref": "rvldfr/2-4-training-gemma-lora-8-5", "kernel_id": "82798154"}, {"ref": "rvldfr/2-1-inference-gemma-lora-4-5", "kernel_id": "82895240"}, {"ref": "rvldfr/2-6-inference-gemma-lora-8-2", "kernel_id": "82895138"}, {"ref": "rvldfr/2-5-inference-gemma-lora-8-3", "kernel_id": "82894565"}, {"ref": "rvldfr/2-2-inference-gemma-lora-4-3", "kernel_id": "82895431"}, {"ref": "rvldfr/2-3-inference-gemma-lora-4-2", "kernel_id": "82895543"}, {"ref": "rvldfr/2-4-inference-gemma-lora-8-5", "kernel_id": "82870038"}, {"ref": "rvldfr/3-1-inference-ensemble-lora-4-5", "kernel_id": "82946381"}, {"ref": "mesuthanavar/model-prediction", "kernel_id": "82761439"}, {"ref": "duohanwang/training-gemma-2-9b-4-bit-qlora-fine-tunin-25a55e", "kernel_id": "82666702"}, {"ref": "oliveria/deberta-v3-extra-small-evaluation", "kernel_id": "82545717"}, {"ref": "charliehodgins/notebook86fe6903ef", "kernel_id": "82701685"}, {"ref": "brunoflausino/brunoflausino-llm-finetuning", "kernel_id": "82441602"}, {"ref": "dolachen/nlp-final-project", "kernel_id": "82612425"}, {"ref": "skylar349/llm-classification", "kernel_id": "82613161"}, {"ref": "rivaldofauzan/2-7-training-gemma-lora-16-5", "kernel_id": "82891596"}, {"ref": "rivaldofauzan/2-3-training-gemma-lora-4-2", "kernel_id": "82891048"}, {"ref": "rivaldofauzan/2-2-training-gemma-lora-4-3", "kernel_id": "82889765"}, {"ref": "rivaldofauzan/2-5-training-gemma-lora-8-3", "kernel_id": "82877628"}, {"ref": "rivaldofauzan/2-6-training-gemma-lora-8-2", "kernel_id": "82877733"}, {"ref": "rivaldofauzan/2-1-training-gemma-lora-4-5", "kernel_id": "82878797"}, {"ref": "rivaldofauzan/2-10-training-gemma-lora-32-5", "kernel_id": "82893469"}, {"ref": "rivaldofauzan/2-4-training-gemma-lora-8-5", "kernel_id": "82814310"}, {"ref": "ainidr25/1-14-training-llama-dora-8-3", "kernel_id": "82528514"}, {"ref": "ainidr25/1-13-inference-llama-dora-8-5", "kernel_id": "82525268"}, {"ref": "ainidr25/1-15-training-llama-dora-8-2", "kernel_id": "82534798"}, {"ref": "ainidr25/1-14-inference-llama-dora-8-3", "kernel_id": "82534446"}, {"ref": "ainidr25/1-15-inference-llama-dora-8-2", "kernel_id": "82542518"}, {"ref": "ainidr25/1-12-training-llama-dora-4-2", "kernel_id": "82756777"}, {"ref": "ainidr25/1-11-inference-llama-dora-4-3", "kernel_id": "82756825"}, {"ref": "ainidr25/1-11-training-llama-dora-4-3", "kernel_id": "82744043"}, {"ref": "ainidr25/1-10-inference-llama-dora-4-5", "kernel_id": "82732466"}, {"ref": "ainidr25/1-10-training-llama-dora-4-5", "kernel_id": "82731534"}, {"ref": "ainidr25/1-12-inference-llama-dora-4-2", "kernel_id": "82791979"}, {"ref": "ainidr25/2-13-training-gemma-lora-4-5", "kernel_id": "82876573"}, {"ref": "kindasomethin/begineer-freindly-llm-classification-finetuning", "kernel_id": "82908228"}, {"ref": "ammonite123/trojan-family", "kernel_id": "82080163"}, {"ref": "shamimhasan8/llm-classification", "kernel_id": "82548711"}, {"ref": "ainidr/2-14-training-gemma-dora-8-3", "kernel_id": "82901354"}, {"ref": "ainidr/2-12-inference-gemma-dora-4-2", "kernel_id": "82900571"}, {"ref": "ainidr/2-13-training-gemma-dora-8-5", "kernel_id": "82900750"}, {"ref": "ainidr/2-14-inference-gemma-dora-8-3", "kernel_id": "82901949"}, {"ref": "ainidr/2-15-inference-gemma-dora-8-2", "kernel_id": "82902433"}, {"ref": "ainidr/2-13-inference-gemma-dora-8-5", "kernel_id": "82901512"}, {"ref": "ainidr/2-15-training-gemma-dora-8-2", "kernel_id": "82901449"}, {"ref": "ainidr/2-11-inference-gemma-dora-4-3", "kernel_id": "82900143"}, {"ref": "ainidr/2-10-inference-gemma-dora-4-5", "kernel_id": "82899634"}, {"ref": "ainidr/2-10-training-gemma-dora-4-5", "kernel_id": "82897326"}, {"ref": "ainidr/2-11-training-gemma-dora-4-3", "kernel_id": "82897614"}, {"ref": "ainidr/2-12-training-gemma-dora-4-2", "kernel_id": "82897726"}, {"ref": "ericpq5569/llm-classification-finetuning-with-textcnn", "kernel_id": "83739135"}, {"ref": "ericpq5569/bi-lstm-with-attention", "kernel_id": "83844769"}, {"ref": "rvldfr/1-16-training-llama-dora-16-5", "kernel_id": "83086342"}, {"ref": "rvldfr/3-5-inference-ensemble-lora-8-3", "kernel_id": "83010767"}, {"ref": "rvldfr/3-6-inference-ensemble-lora-8-2", "kernel_id": "83011337"}, {"ref": "rvldfr/3-3-inference-ensemble-lora-4-2", "kernel_id": "83009611"}, {"ref": "rvldfr/3-2-inference-ensemble-lora-4-3", "kernel_id": "83009025"}, {"ref": "rvldfr/3-4-inference-ensemble-lora-8-5", "kernel_id": "83010263"}, {"ref": "rvldfr/1-18-training-llama-dora-16-2", "kernel_id": "83100482"}, {"ref": "rvldfr/1-17-training-llama-dora-16-3", "kernel_id": "83098061"}, {"ref": "rivaldofauzan/2-18-training-gemma-dora-16-5", "kernel_id": "83208446"}, {"ref": "rivaldofauzan/2-19-training-gemma-dora-16-3", "kernel_id": "83209725"}, {"ref": "rivaldofauzan/2-20-training-gemma-dora-16-2", "kernel_id": "83211389"}, {"ref": "rivaldofauzan/2-8-training-gemma-lora-16-3", "kernel_id": "83102543"}, {"ref": "rivaldofauzan/2-9-training-gemma-lora-16-2", "kernel_id": "83103369"}, {"ref": "ainidr25/3-11-inference-ensemble-dora-4-3", "kernel_id": "83011138"}, {"ref": "ainidr25/3-13-inference-ensemble-dora-8-5", "kernel_id": "83012844"}, {"ref": "ainidr25/3-12-inference-ensemble-dora-4-2", "kernel_id": "83012616"}, {"ref": "ainidr25/3-10-inference-ensemble-dora-4-5", "kernel_id": "83009837"}, {"ref": "ainidr25/3-15-inference-ensemble-dora-8-2", "kernel_id": "83017329"}, {"ref": "ainidr25/3-14-inference-ensemble-dora-8-3", "kernel_id": "83017124"}, {"ref": "marii8st/llm-classification-2", "kernel_id": "83284147"}, {"ref": "peterbull/llm-classification-finetuning", "kernel_id": "84638086"}, {"ref": "peterbull/llm-classification-bert-finetuning", "kernel_id": "84638369"}, {"ref": "hoangvu132/hcmus-2025-24c15034-ensemble-inference", "kernel_id": "84475261"}, {"ref": "nech07/finetuning-test2", "kernel_id": "84850596"}, {"ref": "rvldfr/1-3-training-3-8b-chat-hf-lora-16", "kernel_id": "84274492"}, {"ref": "rvldfr/1-2-training-3-8b-chat-hf-lora-8", "kernel_id": "84263458"}, {"ref": "rvldfr/1-5-training-3-8b-chat-hf-lora-64", "kernel_id": "84293945"}, {"ref": "rvldfr/1-4-training-3-8b-chat-hf-lora-32", "kernel_id": "84284265"}, {"ref": "rvldfr/1-7-inference-3-8b-chat-hf-dora-8", "kernel_id": "84477047"}, {"ref": "rvldfr/1-8-training-3-8b-chat-hf-dora-16", "kernel_id": "84385790"}, {"ref": "rvldfr/1-7-training-3-8b-chat-hf-dora-8", "kernel_id": "84374168"}, {"ref": "rvldfr/1-6-training-3-8b-chat-hf-dora-4", "kernel_id": "84363015"}, {"ref": "rvldfr/1-8-inference-3-8b-chat-hf-dora-16", "kernel_id": "84436018"}, {"ref": "rvldfr/1-10-inference-3-8b-chat-hf-dora-64", "kernel_id": "84438665"}, {"ref": "rvldfr/1-9-inference-3-8b-chat-hf-dora-32", "kernel_id": "84437645"}, {"ref": "shadesh/llm-response-preference-prediction-using-sbert", "kernel_id": "84521131"}, {"ref": "acintyasudarsono/lmsys-kerasnl", "kernel_id": "84811313"}, {"ref": "aryasatyaalaauddin/llm-classification-finetuning-training-script", "kernel_id": "84525686"}, {"ref": "aryasatyaalaauddin/llm-classification-finetuning-inference-script", "kernel_id": "84639313"}, {"ref": "fadhil123/plan-a", "kernel_id": "84845956"}, {"ref": "rasaku/hcmus-2025-24c11049", "kernel_id": "84125628"}, {"ref": "rivaldofauzan/3-2-training-3-2-1b-instruct-lora-8", "kernel_id": "84284482"}, {"ref": "rivaldofauzan/3-1-training-3-2-1b-instruct-lora-4", "kernel_id": "84274771"}, {"ref": "rivaldofauzan/3-3-training-3-2-1b-instruct-lora-16", "kernel_id": "84288755"}, {"ref": "rivaldofauzan/3-5-training-3-2-1b-instruct-lora-64", "kernel_id": "84296399"}, {"ref": "rivaldofauzan/3-4-training-3-2-1b-instruct-lora-32", "kernel_id": "84292693"}, {"ref": "rivaldofauzan/3-2-inference-3-2-1b-instruct-lora-8", "kernel_id": "84487157"}, {"ref": "rivaldofauzan/3-3-inference-3-2-1b-instruct-lora-16", "kernel_id": "84487702"}, {"ref": "rivaldofauzan/3-7-inference-3-2-1b-instruct-dora-8", "kernel_id": "84489644"}, {"ref": "rivaldofauzan/3-5-inference-3-2-1b-instruct-lora-64", "kernel_id": "84488286"}, {"ref": "rivaldofauzan/3-6-inference-3-2-1b-instruct-dora-4", "kernel_id": "84488584"}, {"ref": "rivaldofauzan/3-4-inference-3-2-1b-instruct-lora-32", "kernel_id": "84487954"}, {"ref": "rivaldofauzan/3-10-inference-3-2-1b-instruct-dora-64", "kernel_id": "84491412"}, {"ref": "rivaldofauzan/3-9-inference-3-2-1b-instruct-dora-32", "kernel_id": "84491124"}, {"ref": "rivaldofauzan/3-8-inference-3-2-1b-instruct-dora-16", "kernel_id": "84490668"}, {"ref": "rivaldofauzan/3-1-inference-3-2-1b-instruct-lora-4", "kernel_id": "84484362"}, {"ref": "rivaldofauzan/1-8-training-3-8b-chat-hf-dora-16", "kernel_id": "84385962"}, {"ref": "rivaldofauzan/3-10-training-3-2-1b-instruct-dora-64", "kernel_id": "84380265"}, {"ref": "rivaldofauzan/3-7-training-3-2-1b-instruct-dora-8", "kernel_id": "84367453"}, {"ref": "rivaldofauzan/3-6-training-3-2-1b-instruct-dora-4", "kernel_id": "84363130"}, {"ref": "rivaldofauzan/3-9-training-3-2-1b-instruct-dora-32", "kernel_id": "84374335"}, {"ref": "rivaldofauzan/3-8-training-3-2-1b-instruct-dora-16", "kernel_id": "84370053"}, {"ref": "rivaldofauzan/1-9-training-3-8b-chat-hf-dora-32", "kernel_id": "84398060"}, {"ref": "rivaldofauzan/1-10-training-3-8b-chat-hf-dora-64", "kernel_id": "84410085"}, {"ref": "ainidr25/2-1-training-3-1-8b-instruct-lora-4", "kernel_id": "84261785"}, {"ref": "ainidr25/2-2-training-3-1-8b-instruct-lora-8", "kernel_id": "84274660"}, {"ref": "ainidr25/2-3-training-3-1-8b-instruct-lora-16", "kernel_id": "84284376"}, {"ref": "ainidr25/2-4-training-3-1-8b-instruct-lora-32", "kernel_id": "84294123"}, {"ref": "ainidr25/1-7-inference-3-8b-chat-hf-dora-8", "kernel_id": "84435385"}, {"ref": "ainidr25/1-6-inference-3-8b-chat-hf-dora-4", "kernel_id": "84434523"}, {"ref": "ainidr25/1-3-inference-3-8b-chat-hf-lora-16", "kernel_id": "84422199"}, {"ref": "ainidr25/1-2-inference-3-8b-chat-hf-lora-8", "kernel_id": "84421758"}, {"ref": "ainidr25/1-4-inference-3-8b-chat-hf-lora-32", "kernel_id": "84424456"}, {"ref": "ainidr25/1-5-inference-3-8b-chat-hf-lora-64", "kernel_id": "84424843"}, {"ref": "ainidr25/1-1-inference-3-8b-chat-hf-lora-4", "kernel_id": "84417405"}, {"ref": "ainidr25/2-6-training-3-1-8b-instruct-dora-4", "kernel_id": "84370138"}, {"ref": "ainidr25/2-5-training-3-1-8b-instruct-lora-64", "kernel_id": "84363097"}, {"ref": "ainidr25/2-7-training-3-1-8b-instruct-dora-8", "kernel_id": "84380342"}, {"ref": "ainidr25/2-8-training-3-1-8b-instruct-dora-16", "kernel_id": "84394648"}, {"ref": "ainidr25/2-9-training-3-1-8b-instruct-dora-32", "kernel_id": "84406527"}, {"ref": "ainidr25/2-1-inference-3-1-8b-instruct-lora-4", "kernel_id": "84492099"}, {"ref": "ainidr25/2-10-inference-3-1-8b-instruct-dora-64", "kernel_id": "84498122"}, {"ref": "ainidr25/2-6-inference-3-1-8b-instruct-dora-4", "kernel_id": "84495211"}, {"ref": "ainidr25/2-7-inference-3-1-8b-instruct-dora-8", "kernel_id": "84495756"}, {"ref": "ainidr25/2-8-inference-3-1-8b-instruct-dora-16", "kernel_id": "84496119"}, {"ref": "ainidr25/2-9-inference-3-1-8b-instruct-dora-32", "kernel_id": "84496434"}, {"ref": "ainidr25/2-2-inference-3-1-8b-instruct-lora-8", "kernel_id": "84493311"}, {"ref": "ainidr25/2-3-inference-3-1-8b-instruct-lora-16", "kernel_id": "84493778"}, {"ref": "ainidr25/2-4-inference-3-1-8b-instruct-lora-32", "kernel_id": "84494455"}, {"ref": "ainidr25/2-5-inference-3-1-8b-instruct-lora-64", "kernel_id": "84494814"}, {"ref": "jseo079/llm-classification-tf-idf", "kernel_id": "84025450"}, {"ref": "shortyrex/llm-classifiction-gpt2", "kernel_id": "84666266"}, {"ref": "peggybyby/notebook9cb8d0bdf9", "kernel_id": "84354882"}, {"ref": "furqonaryadana/1-00989-classification-finetuning-with-ml-2-layer", "kernel_id": "84431972"}, {"ref": "sualehaurooj/llm-competition", "kernel_id": "84779941"}, {"ref": "tomy00/llm-classification-finetuning", "kernel_id": "84703098"}, {"ref": "ainidr/4-2-training-3-2-3b-instruct-lora-8", "kernel_id": "84271036"}, {"ref": "ainidr/4-3-training-3-2-3b-instruct-lora-16", "kernel_id": "84296077"}, {"ref": "ainidr/4-4-training-3-2-3b-instruct-lora-32", "kernel_id": "84309807"}, {"ref": "ainidr/4-7-training-3-2-3b-instruct-dora-8", "kernel_id": "84383742"}, {"ref": "ainidr/4-5-training-3-2-3b-instruct-lora-64", "kernel_id": "84366815"}, {"ref": "ainidr/4-6-training-3-2-3b-instruct-dora-4", "kernel_id": "84372564"}, {"ref": "ainidr/4-8-training-3-2-3b-instruct-dora-16", "kernel_id": "84390642"}, {"ref": "ainidr/4-9-training-3-2-3b-instruct-dora-32", "kernel_id": "84399315"}, {"ref": "ainidr/4-10-training-3-2-3b-instruct-dora-64", "kernel_id": "84408745"}, {"ref": "ainidr/4-1-inference-3-2-3b-instruct-dora-4", "kernel_id": "84497741"}, {"ref": "ainidr/4-10-inference-3-2-3b-instruct-dora-64", "kernel_id": "84492518"}, {"ref": "ainidr/4-9-inference-3-2-3b-instruct-dora-32", "kernel_id": "84492213"}, {"ref": "ainidr/4-8-inference-3-2-3b-instruct-dora-16", "kernel_id": "84491508"}, {"ref": "ainidr/4-5-inference-3-2-3b-instruct-lora-64", "kernel_id": "84490353"}, {"ref": "ainidr/4-7-inference-3-2-3b-instruct-dora-8", "kernel_id": "84491222"}, {"ref": "ainidr/4-6-inference-3-2-3b-instruct-dora-4", "kernel_id": "84490905"}, {"ref": "ainidr/4-3-inference-3-2-3b-instruct-lora-16", "kernel_id": "84487839"}, {"ref": "ainidr/4-1-training-3-2-3b-instruct-lora-4", "kernel_id": "84487759"}, {"ref": "ainidr/4-2-inference-3-2-3b-instruct-lora-8", "kernel_id": "84487100"}, {"ref": "ainidr/2-10-training-3-1-8b-instruct-dora-64", "kernel_id": "84486498"}, {"ref": "ainidr/4-4-inference-3-2-3b-instruct-dora-32", "kernel_id": "84508719"}, {"ref": "ainidiahr/4-4-training-3-2-3b-instruct-lora-32", "kernel_id": "84497646"}, {"ref": "ainidiahr/4-1-training-3-2-3b-instruct-lora-4", "kernel_id": "84488271"}, {"ref": "ainidiahr/4-4-inference-3-2-3b-instruct-dora-32", "kernel_id": "84508960"}, {"ref": "rivaldofr/2-9-training-3-1-8b-instruct-dora-32", "kernel_id": "84483038"}, {"ref": "aryasatyaait082/llm-classification-finetuning-training-script", "kernel_id": "84800890"}, {"ref": "phamlequangnhat/llm-competion", "kernel_id": "85054317"}, {"ref": "transang2000/llm-competition-2", "kernel_id": "85673448"}, {"ref": "minhnguynhong/hcmus-2025-24c15049-2", "kernel_id": "85957615"}, {"ref": "xunhunh/hcmus-2025-24c1072", "kernel_id": "85697866"}, {"ref": "myresearchai/hcmus-2025-24c15050", "kernel_id": "85609628"}, {"ref": "rvldfr/1-11-training-3-8b-chat-hf-dora-128", "kernel_id": "85341207"}, {"ref": "rvldfr/1-6-training-3-8b-chat-hf-lora-128", "kernel_id": "85325535"}, {"ref": "cistily/llm-finetuning", "kernel_id": "85731315"}, {"ref": "danilakovalenko/notebook-skript-f-r-den-llm-wettbewerb", "kernel_id": "85882793"}, {"ref": "rivaldofauzan/3-11-training-3-2-1b-instruct-dora-128", "kernel_id": "85341304"}, {"ref": "rivaldofauzan/3-6-training-3-2-1b-instruct-lora-128", "kernel_id": "85325774"}, {"ref": "qscwzm92/notebooka81a6fd12e", "kernel_id": "85639946"}, {"ref": "ryvhii/getting-started", "kernel_id": "85397613"}, {"ref": "nvtphong200401/hcm-2025-24c11020-debertav3-finetuning", "kernel_id": "85522415"}, {"ref": "nvtphong200401/hcmus-2025-24c11020-neural-network", "kernel_id": "85479522"}, {"ref": "blueinthe/training-gemma-2-9b-4-bit-qdora-fine-tuning", "kernel_id": "85942009"}, {"ref": "xuanhuynh233/hcmus-2025-24c1072", "kernel_id": "85880488"}, {"ref": "satsujinki/10-sample", "kernel_id": "85613601"}, {"ref": "shivateja005/model-tunning", "kernel_id": "85114167"}, {"ref": "terkaudoonabbo/llm-classification-finetuning", "kernel_id": "85967453"}, {"ref": "hcmus202524c12004/my-first-testing", "kernel_id": "85954314"}, {"ref": "mdzahedulislam07/llm-preference-prediction", "kernel_id": "86634812"}, {"ref": "azuranguyen/hcmus-2025-24c11067-finetune-debertav3", "kernel_id": "86008669"}, {"ref": "rvldfr/1-11-inference-3-8b-chat-hf-dora-128", "kernel_id": "86257713"}, {"ref": "rvldfr/1-6-inference-3-8b-chat-hf-lora-128", "kernel_id": "86257372"}, {"ref": "rafaqatkhan608/llm-text-classification-fine-tuning", "kernel_id": "86976313"}, {"ref": "ahmedxhamada/llm-classification-finetuning", "kernel_id": "86713914"}, {"ref": "hungluu754/freze-base-model", "kernel_id": "86758401"}, {"ref": "amitsahu01234/lstm-based-llm-preference-classifier", "kernel_id": "86540051"}, {"ref": "muneebhassansipra/mastering-human-judgments-in-chatbot-arena-ipynb", "kernel_id": "86840151"}, {"ref": "opbashar/x-disaster-prediction", "kernel_id": "86537144"}, {"ref": "mohamedramadan2040/fine-tuning-bert-for-multi-label-text", "kernel_id": "86710398"}, {"ref": "gauripatil2299/llm-finetuning", "kernel_id": "86708826"}, {"ref": "rivaldofauzan/3-11-inference-3-2-1b-instruct-dora-128", "kernel_id": "86257807"}, {"ref": "rivaldofauzan/3-6-inference-3-2-1b-instruct-lora-128", "kernel_id": "86257562"}, {"ref": "ainidr25/2-12-inference-3-1-8b-instruct-dora-128", "kernel_id": "86138335"}, {"ref": "ainidr25/2-6-inference-3-1-8b-instruct-lora-128", "kernel_id": "86137711"}, {"ref": "ainidr25/2-12-training-3-1-8b-instruct-dora-128", "kernel_id": "86078770"}, {"ref": "ainidr25/2-6-training-3-1-8b-instruct-lora-128", "kernel_id": "86067397"}, {"ref": "hekunye/notebookd37b128c50", "kernel_id": "86080085"}, {"ref": "hearuzj/llm-fine-tuning-winner-model-prediction", "kernel_id": "86084689"}, {"ref": "blueinthe/infer-gemma-9b-4bit", "kernel_id": "86087232"}, {"ref": "ainidr/4-12-inference-3-2-3b-instruct-dora-128", "kernel_id": "86138984"}, {"ref": "ainidr/4-6-inference-3-2-3b-instruct-lora-128", "kernel_id": "86138846"}, {"ref": "ainidr/4-12-training-3-2-3b-instruct-dora-128", "kernel_id": "86078854"}, {"ref": "ainidr/4-6-training-3-2-3b-instruct-lora-128", "kernel_id": "86067788"}, {"ref": "tenhane/lmsys-kerasnlp-starter", "kernel_id": "86387541"}, {"ref": "tenhane/deberta-v3-base-small", "kernel_id": "86522233"}, {"ref": "atinehoho/deberta-v3-extra-small", "kernel_id": "86401639"}, {"ref": "atinehoho/deberta-v3-small", "kernel_id": "86425977"}, {"ref": "atinehoho/deberta-v3-base", "kernel_id": "86426221"}, {"ref": "uchan725/deberta-v3-small-04efc5", "kernel_id": "86764680"}, {"ref": "yukisake/lmsys-kerasnlp-starter", "kernel_id": "86376346"}, {"ref": "phmhongv1995/test-submit", "kernel_id": "86097686"}, {"ref": "cylik93/llm-classification-fine-tuning-comprehensive", "kernel_id": "87946480"}, {"ref": "adelanseur/llm-classification-finetuning-deberta", "kernel_id": "87621830"}, {"ref": "amineipad/llm-finetuning", "kernel_id": "87496152"}, {"ref": "lynovamo/lmsys-kerasnlp-mod", "kernel_id": "87429050"}, {"ref": "doronfingold/llmfinetune", "kernel_id": "87001027"}, {"ref": "theallkeeeymist/finetuning-using-bert", "kernel_id": "87438437"}, {"ref": "javerialareb/llm-classification-finetuning", "kernel_id": "87024427"}, {"ref": "xiangli1986/is-it-really-good-that-we-can-t-tell-if-it-s-ai", "kernel_id": "87293418"}, {"ref": "kamememem/kadai-1", "kernel_id": "87929838"}, {"ref": "pratikdethe/notebooka609bf0747", "kernel_id": "87264541"}, {"ref": "saravanatk1984/llm-classification-finetuning", "kernel_id": "88677910"}, {"ref": "shringivyas/llm-classification-finetune", "kernel_id": "88581074"}, {"ref": "bigmemti/finetiune-llm", "kernel_id": "88058032"}, {"ref": "onementolive/notebook751164249d", "kernel_id": "88282942"}, {"ref": "peggybyby/finetune-0807", "kernel_id": "88902745"}, {"ref": "ryqn00/llm-classification-finetuning", "kernel_id": "88928639"}, {"ref": "fuzzycoder3794/xgboost-sentenceembedding", "kernel_id": "88457963"}, {"ref": "fuzzycoder3794/distillation-model-to-generate-predictions", "kernel_id": "88507811"}, {"ref": "prashanthsword/final-classification-fine-tuning-file", "kernel_id": "88768543"}, {"ref": "zoohaiba/llm-classification-fin-with-tf-idf-randomforest", "kernel_id": "88019827"}, {"ref": "quiirkycodes/llm-fine-tuning", "kernel_id": "89067544"}, {"ref": "elenaryashchentceva/classik-bert", "kernel_id": "89257904"}, {"ref": "mothukurisujith/sub1-llm-cls-fine", "kernel_id": "89110962"}, {"ref": "arayzwasti/llm-classification-finetuning", "kernel_id": "89750597"}, {"ref": "fuzzycoder3794/zero-training", "kernel_id": "89644501"}, {"ref": "gargginni01/llm-classfication-fine-tuning-tiny-bert", "kernel_id": "90427160"}, {"ref": "parthkadam/llm-classification-v1-tfidf-randomforest", "kernel_id": "90008976"}, {"ref": "dividechange/llm-classification-finetuning", "kernel_id": "90578612"}, {"ref": "tt195361/lmsys-keras-nlp-starter-with-some-changes", "kernel_id": "91219068"}, {"ref": "tianyipeng/gats-llm-finetuning-classification", "kernel_id": "91144386"}, {"ref": "nikenyudha/llm-classification-finetuning", "kernel_id": "91802067"}, {"ref": "jayantbishte/notebook224c05d4af", "kernel_id": "91487572"}, {"ref": "nishantgautam0079/llm-preference-prediction", "kernel_id": "91418386"}, {"ref": "ahmedwageh084616/llm-classification-finetuning", "kernel_id": "91332946"}, {"ref": "e1ormiden/linear-regression-llm-final", "kernel_id": "91743510"}, {"ref": "sangeetadassss/llm-finetuning", "kernel_id": "91781669"}, {"ref": "craving1030/kerasr-llm-classification-finetuning", "kernel_id": "92063478"}, {"ref": "bobbykawade/fine-tuning-model-using-bert-transformer", "kernel_id": "92534742"}, {"ref": "nevermore23274/bingbongboogaloo-of-code", "kernel_id": "92756970"}, {"ref": "jessiex1005/gats-llm-finetuning-classification", "kernel_id": "92180630"}, {"ref": "jessiex1005/gats-llm-finetuning-classification-d688c7", "kernel_id": "92181446"}, {"ref": "yagazieanyanwu/yagazie-ml-logregression-model", "kernel_id": "92011272"}, {"ref": "jamesshan/gats-llm-finetuning-classification", "kernel_id": "92179549"}, {"ref": "houxiyu/llm-1", "kernel_id": "92908389"}, {"ref": "sunnygupta299/llm-classification-model", "kernel_id": "92814698"}, {"ref": "itsyoursumit/lmsys-kerasnlp-starter", "kernel_id": "93885737"}, {"ref": "abhishek123kushwaha/llm-classification-finetuning", "kernel_id": "93935805"}, {"ref": "youssefahmedsar/llm-classification-finetuning-ml", "kernel_id": "93487995"}, {"ref": "hmnshudhmn24/llm-classification-finetuning-score-1-10282", "kernel_id": "93387445"}, {"ref": "hughchoi/hugging-face-kaggle-comp", "kernel_id": "93156393"}, {"ref": "maanning/llm-classifica-finetuning", "kernel_id": "93260337"}, {"ref": "skarthikguruswamy/intfloat-ml-e5-large-inf", "kernel_id": "94113604"}, {"ref": "skarthikguruswamy/intfloat-multilingual-e5-large", "kernel_id": "94031362"}, {"ref": "limpha/llm-class", "kernel_id": "94887152"}, {"ref": "limpha/llm-class-ication", "kernel_id": "94891443"}, {"ref": "datatalesbyagos/llm-classification-finetuning-challenge", "kernel_id": "94388338"}, {"ref": "kailamounika/notebook414d899a0c", "kernel_id": "94505493"}, {"ref": "adrienthomas/llm-classification-finetuning", "kernel_id": "94761546"}, {"ref": "antoniojhb/llm-classification-finetuning-antoniojhb", "kernel_id": "95296032"}, {"ref": "mminbaol/llm-classification", "kernel_id": "95550369"}, {"ref": "mbiangangplatiny/notebook9468a91056", "kernel_id": "95019667"}, {"ref": "kleila575/llm-classification-finetuning", "kernel_id": "96083855"}, {"ref": "davidpupaza/llm-classification-finetuning", "kernel_id": "96793363"}, {"ref": "kningclosteria/notebook9bcf0b898e", "kernel_id": "96429306"}, {"ref": "madhavdhage201/notebook73e614c1dd", "kernel_id": "97712913"}, {"ref": "mdshakil3847/fufullm", "kernel_id": "97075106"}, {"ref": "osmansevili/llm-arena-classification", "kernel_id": "97069668"}, {"ref": "rmifdz/ml-cau-project-2", "kernel_id": "97788148"}, {"ref": "heittorvaladares/code-for-llm-classification-finetuning", "kernel_id": "97459047"}, {"ref": "adaozuishuai/llm-fine-tuning", "kernel_id": "97417150"}, {"ref": "yang25/ml-tp2", "kernel_id": "98254032"}, {"ref": "arishkanyam/ml-project-2-group", "kernel_id": "98120484"}, {"ref": "erikpaperniuk/step3", "kernel_id": "98043598"}, {"ref": "yali1998/gemma-2-9b-it-lora-33k", "kernel_id": "98389043"}, {"ref": "khwahishseth/chatbot-ai-1", "kernel_id": "98702684"}, {"ref": "rmifdz/llm-classification-finetuning-baseline", "kernel_id": "98124490"}, {"ref": "yuanyuchen020211/llm-classification-finetuning-baseline", "kernel_id": "98108427"}, {"ref": "triniktrinik/notebookee3dccf132", "kernel_id": "98974705"}, {"ref": "asadullah123fgfhf/lmsys-kerasnlp-starter", "kernel_id": "99476792"}, {"ref": "ccbhcc/sft-debertav3", "kernel_id": "99695765"}, {"ref": "yugamugesh/notebookfe290832bb", "kernel_id": "99267096"}, {"ref": "davidliu188888/llm-classification-2", "kernel_id": "100722921"}, {"ref": "moganaharini/ai-judge-agent-for-llm-response-evaluation", "kernel_id": "100739996"}, {"ref": "estelleedziga/prediction-in-ai-preferences", "kernel_id": "100552422"}, {"ref": "adrienlegros/sentence-embedding", "kernel_id": "101767870"}, {"ref": "adrienlegros/transfer-learning", "kernel_id": "101766073"}, {"ref": "behnoudng/llm-classification", "kernel_id": "101066006"}, {"ref": "yasunorim/japanese-llm-classification", "kernel_id": "102449125"}, {"ref": "davidliu188888/llm-finetuning", "kernel_id": "102091998"}, {"ref": "hassaan2580/llm-classification-finetuning-submission", "kernel_id": "102846532"}, {"ref": "gamzebabayigit/llmareaclass", "kernel_id": "102807837"}, {"ref": "rajutkarsh22/notebook1first", "kernel_id": "102763327"}, {"ref": "codemaverick143/codemaverick-fine-tuning", "kernel_id": "102659181"}, {"ref": "jianwang99/111-25", "kernel_id": "102441195"}, {"ref": "tvmilitary/llm-classification-finetuning-starter-baseline", "kernel_id": "102779800"}, {"ref": "junokagglezone/cis-520-notebook-baseline", "kernel_id": "102961705"}, {"ref": "bilal8170/notebook033602d877", "kernel_id": "103977575"}, {"ref": "michaelsirakovich/llm-classification-finetuning-n3", "kernel_id": "103875385"}, {"ref": "mohsinfarid/llm-classification", "kernel_id": "103452056"}, {"ref": "shanayasharma75/notebookdcfcb6d6bf", "kernel_id": "103971748"}, {"ref": "alsoimsewon/llm-classification", "kernel_id": "103145409"}, {"ref": "khwahishseth/llm-classification-finetuning", "kernel_id": "103287128"}, {"ref": "rajutkarsh22/llms-class-m2", "kernel_id": "103032769"}, {"ref": "jianwang99/gemma-2-9b-it-lora-33k", "kernel_id": "103225517"}, {"ref": "ryotarokainuma/xgboost-llm-classification", "kernel_id": "103189025"}, {"ref": "c0w1shere/notebook6509301bce", "kernel_id": "103701030"}, {"ref": "abhigyantripathi05/llm-classification-sumission", "kernel_id": "104902593"}, {"ref": "pranjalkumarmaddy/notebook31b7e7500f", "kernel_id": "104510098"}, {"ref": "michaelsirakovich/llm-classification-finetuning-n3-tpu", "kernel_id": "104084390"}, {"ref": "michaelsirakovich/llm-finetuning-tool", "kernel_id": "104682349"}, {"ref": "haofeilian/llm-gemma2-xgboost-9b-it-xgb", "kernel_id": "104517186"}, {"ref": "prajwalsnavalli/llm-classification-finetuning", "kernel_id": "104789229"}, {"ref": "dimayeap/tf-idf-llm-baseline-v1", "kernel_id": "104396866"}, {"ref": "ferariz/preference-modeling-symmetry-calibration", "kernel_id": "105993266"}, {"ref": "pulkitmangal/llm-finetuning-try", "kernel_id": "105288161"}, {"ref": "margot666/notebook123", "kernel_id": "105120520"}, {"ref": "likithasrimaddipatla/llm-finetuning-project-1", "kernel_id": "105895729"}, {"ref": "prtkpiyush/inference-of-llama-and-gemma-final", "kernel_id": "105589252"}, {"ref": "minhhoangl/nlp-test", "kernel_id": "105480255"}, {"ref": "chihayaanon50/notebook9530369679", "kernel_id": "105281545"}, {"ref": "c0w1shere/notebook19ecbd5cb3", "kernel_id": "105957369"}, {"ref": "c0w1shere/notebooke4c9ea1111", "kernel_id": "105600639"}, {"ref": "kuotsunghan11336014/finetuning-test2", "kernel_id": "105763098"}, {"ref": "bheshaj/llm-classification-finetuning-using-huggingface", "kernel_id": "106672260"}, {"ref": "adithyachalla/tfidf-llm-finetuning", "kernel_id": "106381108"}, {"ref": "emperorpein/bert-ft", "kernel_id": "106777394"}, {"ref": "harshitashibe24/eda-of-chatbot-arena-what-makes-llm-response-win", "kernel_id": "106812520"}, {"ref": "samyakrajbayar/llm-llm", "kernel_id": "106616256"}, {"ref": "dimayeap/deberta-v3-finetuning-ab-preference-online", "kernel_id": "106521712"}, {"ref": "dimayeap/lightgbm-tf-idf", "kernel_id": "106739297"}, {"ref": "dimayeap/deberta-v3-finetuning-ab-preference-offline", "kernel_id": "106615892"}, {"ref": "dimayeap/sgd-baseline", "kernel_id": "106262611"}, {"ref": "rauffauzanrambe/llm-collaborative-filtering-on-review-e-commerce", "kernel_id": "106567758"}, {"ref": "bilaltahseen/llm-classification-xgbost", "kernel_id": "107290108"}, {"ref": "leonchani/01-eda-llm-classification-finetuning", "kernel_id": "107807284"}, {"ref": "singhk1/notebooka799f3cbc0", "kernel_id": "107411521"}, {"ref": "nancykshetrimayum/notebookef9177b1e3", "kernel_id": "107740459"}, {"ref": "vatsalvaghasiya/lmsys-kerasnlp-starter", "kernel_id": "107525050"}, {"ref": "arunsworkspace/llm-classification-finetuning", "kernel_id": "107444004"}, {"ref": "maxain/test-competition", "kernel_id": "107558435"}, {"ref": "usingkalke/score-file", "kernel_id": "107322324"}, {"ref": "lakshaymeghlan/notebook1adc92a064", "kernel_id": "107455970"}, {"ref": "soloprince27/notebook350f6445da", "kernel_id": "107539231"}, {"ref": "pallavi023/notebook77e48eb994", "kernel_id": "108238988"}, {"ref": "hisatosenda/llm-classification-finetuning-kerasnlp", "kernel_id": "108745889"}, {"ref": "utilscolab/submit-qwen3-4b-8b-baseline", "kernel_id": "108153653"}, {"ref": "utilscolab/load-llm-dataset", "kernel_id": "108199243"}, {"ref": "sahibchouhan/llm-classification", "kernel_id": "108122851"}, {"ref": "riteshchaurasiya/riteish777", "kernel_id": "108122721"}, {"ref": "payaldhokane/llm-classification-finetuning-deberta-v3", "kernel_id": "108695728"}, {"ref": "taeha1ee/0204-r2", "kernel_id": "108641630"}, {"ref": "zhiyue666/training-qlora-qwen3-4b", "kernel_id": "109223566"}, {"ref": "zhiyue666/inference-qlora-qwen3-4b", "kernel_id": "109240644"}, {"ref": "shogomiyawaki/llm-classification-finetuning-1", "kernel_id": "109598682"}, {"ref": "haru1205/notebook2403a91199", "kernel_id": "109942842"}, {"ref": "jieuna1/gemma-2b-lora-fine-tuning-t4-optimized", "kernel_id": "109589752"}, {"ref": "bekzhanryspekov/fine-tuning", "kernel_id": "109692316"}, {"ref": "zumermalik/llm-arena-fast-tf-idf-lightgbm-baseline", "kernel_id": "109996611"}, {"ref": "angelndevil2/with-deberta-v3-large", "kernel_id": "110822334"}, {"ref": "cloudhashira/llm-classification-light-gbm", "kernel_id": "110641114"}, {"ref": "cloudhashira/llm-classification-tf-idf", "kernel_id": "110563803"}, {"ref": "prottoy3182/fine-tuning", "kernel_id": "110913556"}, {"ref": "mdshakilahamedshawon/fine-tuning-advance", "kernel_id": "110463674"}, {"ref": "angelndevil2/with-deberta-v3-large-hyperparameter-tuned", "kernel_id": "111535240"}, {"ref": "angelndevil2/llm-classification-robust-5-fold-cross-validation", "kernel_id": "111542495"}, {"ref": "angelndevil2/llm-classification-hyperparameter-optimization", "kernel_id": "111286180"}, {"ref": "angelndevil2/llm-classification-deberta-v3-large-baseline", "kernel_id": "111124368"}, {"ref": "nadiakhalid/llm-classification-finetuning", "kernel_id": "111951665"}, {"ref": "danman1432/llm-classification-finetuning", "kernel_id": "111669857"}, {"ref": "shogomiyawaki/llm-classification-finetuning-2", "kernel_id": "111469641"}, {"ref": "kubilaybildirici/debertav3-finetune", "kernel_id": "111072209"}, {"ref": "kubilaybildirici/oof-fold-xgboost", "kernel_id": "111012579"}, {"ref": "ikerbolancel/predicci-de-prefer-ncies", "kernel_id": "111504725"}, {"ref": "hlwang408/llm-classification-finetuning-train", "kernel_id": "111330142"}, {"ref": "krishnapatilrajput/llm-classification-finetuning-competition", "kernel_id": "111476337"}, {"ref": "angelndevil2/robust-5-fold-splitting-with-groupkfold", "kernel_id": "112235451"}, {"ref": "angelndevil2/gemma-2-9b-lora-fine-tuning-fold-0-test-run", "kernel_id": "112239270"}, {"ref": "angelndevil2/data-recovery-qa-explode-pipeline", "kernel_id": "112159526"}, {"ref": "angelndevil2/llm-classification-data-insights-strategy", "kernel_id": "112062463"}, {"ref": "petersteyn/llm-classification-ml-pipeline-v2", "kernel_id": "112171113"}, {"ref": "franekwodarczyk/llm-classification-finetuning", "kernel_id": "112611686"}, {"ref": "flameblade05/llm-classification-finetuning", "kernel_id": "112791454"}, {"ref": "sorajiang/lmsys-kerasnlp-starter", "kernel_id": "112660855"}, {"ref": "sidneysun/deberta-v3-llm-classification-inference", "kernel_id": "113395783"}, {"ref": "yinghsilee/llm-competition", "kernel_id": "113672978"}, {"ref": "ayushsrivastava016/llm-response-ranking-using-feature-engineering", "kernel_id": "113250716"}, {"ref": "doeunchoi/team5-transformer-features-pairwise", "kernel_id": "113984831"}, {"ref": "makotokomizo/llm-classification-guide", "kernel_id": "114875129"}, {"ref": "itsyoursumit/hcmus-2025-submi1", "kernel_id": "114871794"}, {"ref": "ryankuo828/llm-classification-fine", "kernel_id": "114393919"}, {"ref": "masayakawamata/before-llm-fine-tuning-xgb-fe-baseline", "kernel_id": "115570158"}, {"ref": "shubbylol/kaggle-competition", "kernel_id": "115238779"}, {"ref": "mimhail/abc-optimized-tf-idf-ensemble", "kernel_id": "115378385"}, {"ref": "ishitabahamnia/notebookb0278abbda", "kernel_id": "115144787"}, {"ref": "ishitabahamnia/notebook89841e321b", "kernel_id": "115732419"}, {"ref": "alexavila1929/notebookf5bc26732d", "kernel_id": "115757871"}, {"ref": "vadomvlasov/notebook8aa2b095f7", "kernel_id": "116861650"}, {"ref": "evgendvorkin/catboost-score-1-04", "kernel_id": "116650525"}, {"ref": "thomascristancho/notebook9ee6478e47", "kernel_id": "116343729"}, {"ref": "anishashrestha1/llm-classification", "kernel_id": "116892289"}, {"ref": "valentinorayisabell/hybrid-llm-ensemble-posterior-tf-idf", "kernel_id": "116333358"}, {"ref": "jek1wantaufik/llm-preference-prediction-with-deberta-transformer", "kernel_id": "116738151"}, {"ref": "jake666/llm-classification-finetuning", "kernel_id": "117756179"}, {"ref": "bhuviajmera/lmsys-kerasnlp-starter", "kernel_id": "117095349"}, {"ref": "mtoshidesu/lmsys-kerasnlp-starter", "kernel_id": "117163781"}, {"ref": "quatlify/llm-finetune-with-cls-token", "kernel_id": "117538293"}, {"ref": "qingxunli/llm-preference-prediction-liqingxun-163-com", "kernel_id": "117109641"}, {"ref": "eliassaker/llm-classification-finetuning", "kernel_id": "118841765"}, {"ref": "hayaab/llm-preference-classification-baseline", "kernel_id": "118779466"}, {"ref": "lulv90/tfidf-baseline-v3", "kernel_id": "119342699"}, {"ref": "lulv90/tf-idf-baseline-kaggle-cli", "kernel_id": "119347310"}, {"ref": "lulv90/tfidf-baseline-new", "kernel_id": "119347713"}, {"ref": "lulv90/bert-finetune-baseline", "kernel_id": "119483331"}, {"ref": "ratovia/notebook655323986f", "kernel_id": "119342397"}, {"ref": "gemechuejeta/notebookb20a6f346d", "kernel_id": "119513261"}, {"ref": "keyurshah356/notebookf0dee29498", "kernel_id": "119042457"}, {"ref": "dedquoc/llm-classification-finetuning-deberta-v4-baseline", "kernel_id": "120520406"}, {"ref": "jeffbutt/deberta-cross-encoder", "kernel_id": "120874586"}, {"ref": "jeffbutt/tfidf-logreg-baseline", "kernel_id": "120870906"}, {"ref": "goodpjw2008/lmsys-prtkpiyush-fork-gemma-llama-ensemble", "kernel_id": "120268515"}, {"ref": "leneen/llm-classification", "kernel_id": "120743037"}, {"ref": "hannahmuthonihailu/llm-classification-finetuning-competition", "kernel_id": "120522442"}, {"ref": "meteorqaq0311/llm-deberta", "kernel_id": "120415211"}, {"ref": "meteorqaq0311/llm-ensemble", "kernel_id": "120417393"}, {"ref": "rauffauzanrambe/llm-classification-ensemble-inference", "kernel_id": "120591370"}, {"ref": "jeffbutt/deberta-tfidf-ensemble", "kernel_id": "121039755"}, {"ref": "valentinorayisabell/deberta-championship-pclf-v6", "kernel_id": "121226115"}, {"ref": "valentinorayisabell/hybrid-deberta-tf-idf-ensemble", "kernel_id": "121344389"}, {"ref": "valentinorayisabell/daily-concept-01-posterior-ensemble", "kernel_id": "121870683"}, {"ref": "valentinorayisabell/gemma-mount-smoke-v10", "kernel_id": "121920686"}, {"ref": "valentinorayisabell/hoangvu-fork-neuron-v11", "kernel_id": "121921943"}, {"ref": "valentinorayisabell/hoangvu-checkpoint-v12", "kernel_id": "121922959"}, {"ref": "valentinorayisabell/daily-concept-02-entropy-pseudo-labeling", "kernel_id": "121874665"}, {"ref": "valentinorayisabell/neuron-method-pipeline-v1", "kernel_id": "121916712"}, {"ref": "valentinorayisabell/daily-concept-02-gemma-refine", "kernel_id": "121918086"}, {"ref": "valentinorayisabell/dc02-entropy-gemma-refine", "kernel_id": "121918092"}, {"ref": "tinfhxy/llm-train", "kernel_id": "121917759"}, {"ref": "laurasofiaculma/notebook01a583bd54", "kernel_id": "121350236"}, {"ref": "miadul/predict-human-preference-among-response", "kernel_id": "122557304"}, {"ref": "ab00dm0/llm-classification-finetuning", "kernel_id": "122665933"}, {"ref": "sohaibdevv/llm-response-ranking-using-feature-engineering", "kernel_id": "122141153"}, {"ref": "tejasraj1333/notebook7c45c20f52", "kernel_id": "123246128"}, {"ref": "bhushanzade02/kaggle3-update", "kernel_id": "123242525"}, {"ref": "nursrijan/llm-classification-deberta-baseline", "kernel_id": "123037025"}, {"ref": "gdataranger/llm-classification-finetuning-submission", "kernel_id": "124933363"}, {"ref": "nm162410224/llm-classification-1", "kernel_id": "124776532"}, {"ref": "sabrinathibault/notebookf900567a4b", "kernel_id": "124032529"}, {"ref": "gdataranger/llm-classification-finetuning-v0-0-eda", "kernel_id": "125050087"}, {"ref": "maximendacleu/llm-classification-finetuning", "kernel_id": "125937503"}, {"ref": "killua88/llm-finetuning", "kernel_id": "126484715"}, {"ref": "rustambhadouriya/lmsys-kerasnlp-starter", "kernel_id": "126022330"}, {"ref": "boussaidsaifeddin/tfidf-llm-preference-predictor", "kernel_id": "126152560"}, {"ref": "illuminatep/second-try", "kernel_id": "126879613"}, {"ref": "leeshble/notebookdb5b5c1095", "kernel_id": "127873539"}, {"ref": "davoine/llm-arena-final-inference", "kernel_id": "127354681"}, {"ref": "leeshble/classification-with-dve", "kernel_id": "128941540"}, {"ref": "pranamkumarchand/llm-performance-model", "kernel_id": "128018745"}, {"ref": "nicktempleman/sov-submit-with-data", "kernel_id": "128656834"}, {"ref": "nicktempleman/sov-submit-debug", "kernel_id": "128656903"}, {"ref": "nicktempleman/sov-submit-v3", "kernel_id": "128656962"}, {"ref": "nicktempleman/sov-submit-updated", "kernel_id": "128657022"}, {"ref": "nicktempleman/sov-unified-winners-stack", "kernel_id": "128657917"}, {"ref": "nicktempleman/sov-kaggle-now", "kernel_id": "128657467"}, {"ref": "nicktempleman/sov-sovereign-ai-uk-government-defence", "kernel_id": "128657557"}, {"ref": "liuyuanping/llm-cf-gbdt-baseline-nb", "kernel_id": "129383040"}, {"ref": "predivakar/feature-engineering", "kernel_id": "129899522"}, {"ref": "predivakar/baseline", "kernel_id": "129895847"}, {"ref": "predivakar/deberta", "kernel_id": "129983620"}, {"ref": "rutujakale067/llm-classification", "kernel_id": "129383218"}, {"ref": "shashvatsingham/verbosity-bias-preference-without-reading", "kernel_id": "130624238"}, {"ref": "sayalibandvalkar/llm-aml", "kernel_id": "130510133"}, {"ref": "nancykshetrimayum/lmsys-revision-real-run", "kernel_id": "130716935"}, {"ref": "nancykshetrimayum/notebook7a216b064a", "kernel_id": "130458117"}, {"ref": "maximolorenzoylosada/llm-classification-first-valid-baseline", "kernel_id": "130229796"}, {"ref": "maximolorenzoylosada/lmsys-length-bias", "kernel_id": "130316567"}, {"ref": "abdullahali2007/notebook53c1017f5e", "kernel_id": "130225427"}, {"ref": "itheequalizer/llm-preference-grouped-cv-quality-gates", "kernel_id": "130175587"}, {"ref": "valentinorayisabell/llm-v7-ce-cal", "kernel_id": "130486271"}, {"ref": "naemamohmed/llm-classfication-baseline", "kernel_id": "130517296"}, {"ref": "winnifredboyo1/llm-fine-tuning-data-exploration", "kernel_id": "130017490"}, {"ref": "shobhitranjan2005/lmsys-q25-infer", "kernel_id": "131730141"}, {"ref": "illuminatep/apfte-train-tb2", "kernel_id": "131943622"}, {"ref": "illuminatep/apfte-train-abe2", "kernel_id": "131941878"}, {"ref": "illuminatep/a-perfectly-fine-tuned-encoder", "kernel_id": "131960525"}, {"ref": "jameslin45/llm-classification-infer-deberta-submission", "kernel_id": "131415428"}, {"ref": "starkhushi/why-humans-pick-one-ai-answer-over-another", "kernel_id": "132661226"}, {"ref": "leneen/01-character-level-bigram-language-model-ipynb", "kernel_id": "132363573"}, {"ref": "shikhargoel56245413q/deberta-arena-train-p100", "kernel_id": "132459593"}, {"ref": "shikhargoel56245413q/baseline-arena", "kernel_id": "132458170"}, {"ref": "shikhargoel56245413q/debug-input-ls", "kernel_id": "132456218"}, {"ref": "shikhargoel56245413q/deberta-arena-train", "kernel_id": "132455692"}, {"ref": "shikhargoel56245413q/deberta-arena-v3", "kernel_id": "132527159"}, {"ref": "shikhargoel56245413q/deberta-arena-final", "kernel_id": "132466291"}, {"ref": "farhodjonergashov/llm-classification-finetuning", "kernel_id": "132985738"}, {"ref": "tahmidtawsif/llm-classification-finetuning", "kernel_id": "132423895"}, {"ref": "malikhammadfarooq/apfte-v2-5-expert-parity-head-valid-fit", "kernel_id": "132525217"}, {"ref": "noah6041/triple-stack-llm", "kernel_id": "132394256"}, {"ref": "kodeldev/llm-classification-starter", "kernel_id": "132390956"}, {"ref": "xiethomas/llm-finetune-deberta-small-v3-submission", "kernel_id": "133278258"}, {"ref": "nadiaekanursafitri/exploring-llm-performance-through-data", "kernel_id": "133307027"}, {"ref": "robindubey/llm-project", "kernel_id": "133969738"}, {"ref": "karimkhabibrakhmanov/pmldl-e2-hpo-high-lr-qlora-sparse-blend", "kernel_id": "133449188"}, {"ref": "omar2716/llm-classification-finetuning", "kernel_id": "133271783"}, {"ref": "omar2716/notebookb1f36baccc", "kernel_id": "133271911"}, {"ref": "lyk1zm/04-transformer-submission", "kernel_id": "133760621"}, {"ref": "sarthak11j/gemma-2-9b-qlora-id-mod-5-evaluation", "kernel_id": "133754790"}, {"ref": "iakupovaslan/notebookee01401073", "kernel_id": "133726212"}, {"ref": "kkwdfd/deberta-pytorch-code-sample-deberta-v3-xsmall", "kernel_id": "133973510"}, {"ref": "juntw9487/notebookf1a621ee21", "kernel_id": "134830097"}, {"ref": "shanmay/notebook32ac1f13ca", "kernel_id": "134316206"}, {"ref": "datascikhan/llm-classification", "kernel_id": "134854033"}, {"ref": "waleedalmorade/project-waleed", "kernel_id": "134257977"}, {"ref": "samsonendeti/notebooka01ab758ab", "kernel_id": "134502740"}, {"ref": "anmolgomra/llm-ai6102", "kernel_id": "135935848"}, {"ref": "medvax/gemma2-llama3-preference-ensemble-calibrated", "kernel_id": "135974245"}, {"ref": "medvax/llm-preference-lightgbm-text-ensemble", "kernel_id": "135970861"}, {"ref": "datawithabxrehman/llm-classification-finetuning", "kernel_id": "136199743"}]}
{"competition_id": "86524", "kernels": [{"ref": "bovard/starter-bot", "kernel_id": "71089267"}, {"ref": "bovard/your-first-chess-bot", "kernel_id": "71090570"}, {"ref": "cakiki/your-second-chess-bot-with-python-chess", "kernel_id": "71138172"}, {"ref": "byfone/sunfish-chess-bot", "kernel_id": "71822832"}, {"ref": "satyaprakashswain/the-knight-s-gambit-crafting-efficient-chess", "kernel_id": "71226733"}, {"ref": "egrehbbt/bbc-bitboard-chess-engine-in-c", "kernel_id": "71784189"}, {"ref": "kmldas/easy-submission-for-chess-bot", "kernel_id": "71272188"}, {"ref": "snufkin77/running-c-c-in-submissions", "kernel_id": "71472258"}, {"ref": "wguesdon/simple-python-and-c-chess-bot", "kernel_id": "71564605"}, {"ref": "wguesdon/littledeepblue", "kernel_id": "71192985"}, {"ref": "yasserhessein/ai-driven-chess-game-minimax-algorithm", "kernel_id": "71301715"}, {"ref": "sabinaabdurakhmanova/chess-bot-with-scoring", "kernel_id": "71206195"}, {"ref": "thomasyow/chess-bot-minimax-alpha-beta-time-constraint", "kernel_id": "71227603"}, {"ref": "jocelyndumlao/ruy-l-pez-gaussian-chess-mastery", "kernel_id": "71123820"}, {"ref": "lennarthaupts/tiny-chess-bot-small-snail-v3-1", "kernel_id": "71324247"}, {"ref": "olegzholobov/source-2100-lb-c-c-sample-submission", "kernel_id": "71711071"}, {"ref": "waechter/chess-monitor-best-agents-stockfish-analysis", "kernel_id": "71277343"}, {"ref": "weikuoli/chessnut-tutorial", "kernel_id": "71115708"}, {"ref": "nuozhou1/start-with-strategic-move", "kernel_id": "71476946"}, {"ref": "nuozhou1/useful-ideas-and-articles-chinese-english", "kernel_id": "71477333"}, {"ref": "abhijeetsamal/your-first-chess-bot", "kernel_id": "71623361"}, {"ref": "stuartrickard/getting-under-the-hood-of-chessnut", "kernel_id": "71434691"}, {"ref": "stuartrickard/method-to-pass-data-to-later-move", "kernel_id": "71500429"}, {"ref": "leonhardpiff/elo-world-strength-benchmark-for-your-bot", "kernel_id": "71907788"}, {"ref": "arianahejazyan/advanced-tactics-evaluation", "kernel_id": "71397005"}, {"ref": "arianahejazyan/bitboards-board-representation-move-generator", "kernel_id": "71515953"}, {"ref": "suneelhegde/chessss", "kernel_id": "71562337"}, {"ref": "stemosamaghandour/fide-google-kaggle-chess-by-egycottonbrocker", "kernel_id": "71301872"}, {"ref": "vvsbasanthpedapati/a-simple-bot", "kernel_id": "71212265"}, {"ref": "lindalawton/capture-by-weight", "kernel_id": "71960279"}, {"ref": "hejuncheung/game-chess-bot-first", "kernel_id": "71518504"}, {"ref": "bharathvalluri/fide-googles-efficient-chess-ai-agent", "kernel_id": "71843723"}, {"ref": "ititsam/advanced-chess-bot-by-ititsam", "kernel_id": "71205659"}, {"ref": "thepradk/test1", "kernel_id": "71211018"}, {"ref": "callummaystone/silly-goose-chess-bot-agn-cube4d-dre", "kernel_id": "71284934"}, {"ref": "sebastiantyralski/chessagent", "kernel_id": "71474519"}, {"ref": "shawnxxq/advanced-chess-engine-with-alpha-beta-pruning", "kernel_id": "71502719"}, {"ref": "garried/lb-over-2-000-with-c-stockfish-4-0", "kernel_id": "72929840"}, {"ref": "ashketchum/an-example-c-bot-outputs-a-randomly-chosen-move", "kernel_id": "72270594"}, {"ref": "jarturo/chessbot-1200", "kernel_id": "72535290"}, {"ref": "mos3santos/boot-ia-de-xadrez-pontua-o-1776-4", "kernel_id": "72928160"}, {"ref": "idrissamdicko/first-notebook-using-micromax-chess-engine", "kernel_id": "72874250"}, {"ref": "ayucha/oh-no-my-rook-a-c-guide", "kernel_id": "72850775"}, {"ref": "sriramannamalai04/notebook91aaeee21a", "kernel_id": "72295265"}, {"ref": "ilyaaacom/fide-google-efficient-chess-ai-agent", "kernel_id": "72418060"}, {"ref": "abdullah0a/simple-code-chess-ai-bot", "kernel_id": "72770768"}, {"ref": "foysal1/strategic-chess-bot-from-random-moves-to-checkmat", "kernel_id": "72196972"}, {"ref": "pavankumar4757/chess-bot-battle", "kernel_id": "72068365"}, {"ref": "krishnayadav456wrsty/efficient-chess-ai-fide", "kernel_id": "72593069"}, {"ref": "marwanashref/chessbot", "kernel_id": "72019550"}, {"ref": "matthieuouvrard/ilumnia", "kernel_id": "72882896"}, {"ref": "nutlen/e-cup-dataset", "kernel_id": "73711921"}, {"ref": "sivaramakrishnansrk/your-first-chess-bot", "kernel_id": "73315307"}, {"ref": "sivaramakrishnansrk/integrate-with-stockfish", "kernel_id": "73824070"}, {"ref": "anthonytherrien/chess-ai-training-with-rl", "kernel_id": "73748918"}, {"ref": "irakozekelly/chess-bot", "kernel_id": "73036449"}, {"ref": "marlonperaltamendoza/lumenchess", "kernel_id": "73491032"}, {"ref": "ninadxc/quintbot-51kb", "kernel_id": "73931305"}, {"ref": "sircausticmail/memory-tracking-for-uci-engines", "kernel_id": "74105808"}, {"ref": "sircausticmail/help-with-stockfish-4", "kernel_id": "74701466"}, {"ref": "cahein1371/minmax-chess-program", "kernel_id": "74314035"}, {"ref": "dedquoc/chess-ai-agents-ai-challenge", "kernel_id": "74939985"}, {"ref": "ansehen/mcts-dqn-tr", "kernel_id": "74762033"}, {"ref": "markorupnik/visualize-elo", "kernel_id": "74320276"}, {"ref": "andreagobbez/chess-bot-human-logic", "kernel_id": "74017667"}, {"ref": "shreyasraghav/checkmate-ding-using-c", "kernel_id": "74453057"}, {"ref": "shreyasraghav/deep-dive-into-tech-of-chess-agents", "kernel_id": "74686382"}, {"ref": "shreyasraghav/chess-agent-optimization-part-2", "kernel_id": "74686582"}, {"ref": "ichigokurosaki7/fide-chess-anshuman", "kernel_id": "74606216"}, {"ref": "brianvilnrotter/fide-google-efficient-chess-ai-challenge", "kernel_id": "74305124"}, {"ref": "henrymordenotrainor/fide-challenge-chess-bot", "kernel_id": "74920328"}, {"ref": "vedant7312/chess-bot", "kernel_id": "74674458"}, {"ref": "vitalykudelya/chess-ai-essentials-a-practical-guide", "kernel_id": "75209147"}, {"ref": "kumarandatascientist/ccp-checkmate-capture-promotion-strategy-move-v1", "kernel_id": "75253515"}, {"ref": "kumarandatascientist/simple-ai-chess-game-v1", "kernel_id": "75247514"}, {"ref": "atom1231/cfish-new-ponder-try-v2", "kernel_id": "75969600"}, {"ref": "nagiss/chess-042-f040-training-data-generator", "kernel_id": "75984488"}, {"ref": "nagiss/chess-043-generate-training-data-seed0", "kernel_id": "75985357"}, {"ref": "nagiss/chess-043b-generate-training-data-seed400", "kernel_id": "75985937"}, {"ref": "nagiss/chess-043c-generate-training-data-seed800", "kernel_id": "75986015"}, {"ref": "nagiss/chess-043d-generate-training-data-seed1200", "kernel_id": "75986174"}, {"ref": "nagiss/chess-043e-generate-training-data-seed1600", "kernel_id": "75986315"}, {"ref": "jazivxt/chesster-bad-hand", "kernel_id": "75687723"}, {"ref": "ansehen/chess-alpha-beta-nnue", "kernel_id": "75515506"}, {"ref": "mohamedmustafashaban/first-chess", "kernel_id": "75223146"}, {"ref": "giraldonainggolan/fide-google-chess-ai-thinking-smarter-not-hard", "kernel_id": "75850285"}, {"ref": "soethandar/csc532-256-assignment-1", "kernel_id": "75698046"}, {"ref": "tnr1337/fide-google", "kernel_id": "75787958"}, {"ref": "gabrielothvio/notebookf665e6509c", "kernel_id": "75211621"}, {"ref": "vitalykudelya/chess-ai-simulations-stats", "kernel_id": "76735783"}, {"ref": "kumarandatascientist/chessmate-with-reinforcement-ai-agentic-llm-code", "kernel_id": "76312934"}, {"ref": "nagiss/chess-043j-generate-training-data-seed3600", "kernel_id": "76308771"}, {"ref": "nagiss/chess-043l-generate-training-data-seed4400", "kernel_id": "76308922"}, {"ref": "nagiss/chess-043k-generate-training-data-seed4000", "kernel_id": "76308860"}, {"ref": "nagiss/chess-043f-generate-training-data-seed2000", "kernel_id": "76292086"}, {"ref": "nagiss/chess-043g-generate-training-data-seed2400", "kernel_id": "76292166"}, {"ref": "nagiss/chess-043i-generate-training-data-seed3200", "kernel_id": "76292209"}, {"ref": "nagiss/chess-053g-datagen-hce-seed8000-13999", "kernel_id": "76354838"}, {"ref": "nagiss/chess-059-f053g-datagen-058b-vs-hce-seed0", "kernel_id": "76359111"}, {"ref": "nagiss/chess-053f-datagen-hce-seed2000-7999", "kernel_id": "76329484"}, {"ref": "nagiss/chess-053e-datagen-hce-seed1600", "kernel_id": "76328848"}, {"ref": "nagiss/chess-043o-generate-training-data-seed5600", "kernel_id": "76326879"}, {"ref": "nagiss/chess-043m-generate-training-data-seed4800", "kernel_id": "76326759"}, {"ref": "nagiss/chess-043n-generate-training-data-seed5200", "kernel_id": "76326813"}, {"ref": "nagiss/chess-043h-generate-training-data-seed2800", "kernel_id": "76326549"}, {"ref": "nagiss/chess-053b-datagen-hce-seed400", "kernel_id": "76326597"}, {"ref": "nagiss/chess-053c-datagen-hce-seed800", "kernel_id": "76327351"}, {"ref": "nagiss/chess-053d-datagen-hce-seed1200", "kernel_id": "76328085"}, {"ref": "nagiss/chess-053-f043l-datagen-hce-seed0", "kernel_id": "76322062"}, {"ref": "nagiss/chess-052-f042-data-generator-use-hce", "kernel_id": "76322154"}, {"ref": "nagiss/chess-058c-data-generator-060-params", "kernel_id": "76380336"}, {"ref": "nagiss/chess-059b-datagen-058c-vs-hce-seed0", "kernel_id": "76381928"}, {"ref": "nagiss/chess-058b-data-generator", "kernel_id": "76359667"}, {"ref": "nagiss/chess-065d-lr-1e-2-epoch-500", "kernel_id": "76420836"}, {"ref": "nagiss/chess-064e-f060-split-data-4-8", "kernel_id": "76397920"}, {"ref": "nagiss/chess-064f-f060-split-data-5-8", "kernel_id": "76397982"}, {"ref": "nagiss/chess-064g-f060-split-data-6-8", "kernel_id": "76398012"}, {"ref": "nagiss/chess-064h-f060-split-data-7-8", "kernel_id": "76398058"}, {"ref": "nagiss/chess-064b-f060-split-data-1-8", "kernel_id": "76396618"}, {"ref": "nagiss/chess-064c-f060-split-data-2-8", "kernel_id": "76396695"}, {"ref": "nagiss/chess-064d-f060-split-data-3-8", "kernel_id": "76396736"}, {"ref": "nagiss/chess-064-f060-split-data-0-8", "kernel_id": "76395580"}, {"ref": "tobimichigan/solo-fide-google-efficient-chess-ai-challenge", "kernel_id": "76477165"}, {"ref": "adsamardeep/fide-v2", "kernel_id": "76435960"}, {"ref": "samithsachidanandan/chess-ai-challenge-submission", "kernel_id": "76418134"}, {"ref": "hoon0303/chess-stockfish-size-optimization-techniques", "kernel_id": "76457139"}, {"ref": "ansehen/ab-simple", "kernel_id": "76223429"}, {"ref": "kopikamuralidharan/fide-3", "kernel_id": "76449801"}, {"ref": "kamaljerome/chessbot-v1", "kernel_id": "76461165"}, {"ref": "adrinpineda/chess-a-i-12", "kernel_id": "89040437"}, {"ref": "yamashitamotokazu/fide2024-submission33-d72be9", "kernel_id": "97359160"}]}
{"competition_id": "86538", "kernels": []}
{"competition_id": "86560", "kernels": []}
{"competition_id": "86598", "kernels": []}
{"competition_id": "86608", "kernels": []}
{"competition_id": "86651", "kernels": []}
{"competition_id": "86703", "kernels": []}
{"competition_id": "86719", "kernels": []}
{"competition_id": "86737", "kernels": []}
{"competition_id": "86744", "kernels": []}
{"competition_id": "86752", "kernels": []}
{"competition_id": "86770", "kernels": [{"ref": "samarthpujari/wine-data-competition", "kernel_id": "74327571"}, {"ref": "swas06/winedatarandomforest", "kernel_id": "76525302"}]}
{"competition_id": "86776", "kernels": []}
{"competition_id": "86783", "kernels": []}
{"competition_id": "86785", "kernels": [{"ref": "hengzheng/pauns-lgb-base", "kernel_id": "67599835"}, {"ref": "bestwater/predict-app-users-next-step-release-autogluon", "kernel_id": "67761101"}, {"ref": "bestwater/predict-app-users-next-step-autogluon-v2", "kernel_id": "69100884"}, {"ref": "bestwater/predict-app-users-next-step-autogluon-v4", "kernel_id": "73882609"}, {"ref": "bestwater/predict-app-users-next-step-autogluon-v3", "kernel_id": "73882346"}]}
{"competition_id": "86786", "kernels": [{"ref": "yangguangzhao12/10-14", "kernel_id": "67953799"}]}
{"competition_id": "86788", "kernels": []}
{"competition_id": "86790", "kernels": [{"ref": "tanguyesteoule/ensimag-wpf-2024", "kernel_id": "67625473"}, {"ref": "johnlaios/predicting-a-wind-turbine-generated-power", "kernel_id": "70936766"}, {"ref": "mustiztemiz/windenergie", "kernel_id": "74237370"}, {"ref": "renjithlal/ensimag-wind-power-forecasting-2024-25", "kernel_id": "74963969"}, {"ref": "ngamzedeniz/fork-of-ensimag-wind-power-forecasting", "kernel_id": "79830036"}]}
{"competition_id": "86811", "kernels": []}
{"competition_id": "86846", "kernels": []}
{"competition_id": "86849", "kernels": []}
{"competition_id": "86860", "kernels": [{"ref": "danipipe777/af-ii-2024-ii-object-localization", "kernel_id": "68218692"}, {"ref": "alejaguz30/fda-2-redes-convolucionales", "kernel_id": "69326740"}, {"ref": "danipipe777/ejecucion-data-augm", "kernel_id": "70637551"}]}
{"competition_id": "86861", "kernels": []}
{"competition_id": "86864", "kernels": [{"ref": "onepathsilkworm/multi-task-medmnist-eda", "kernel_id": "68401472"}, {"ref": "onepathsilkworm/baseline-training-on-medmnist", "kernel_id": "68409185"}, {"ref": "onepathsilkworm/finetuning-resnet-18-on-retinamnist", "kernel_id": "68405603"}, {"ref": "jagadeeshgovindaraj/neural-network-classification-with-medmnist-data", "kernel_id": "73488453"}, {"ref": "nosanesrine/neural-network-classification-with-medmnist-data", "kernel_id": "74154638"}, {"ref": "merfarukbayram60/improving-accuracy-with-multihead-backbone", "kernel_id": "74112777"}, {"ref": "tolstoyjustin/multi-task-medmnist-a-comprehensive-exploration", "kernel_id": "74905849"}, {"ref": "minhhiuphmon/mednist-hack", "kernel_id": "74049946"}, {"ref": "hwkims/fork-of-convnext-tiny-notebook8a8c996b9", "kernel_id": "76979596"}, {"ref": "hwkims/convnext-tiny-0-68193-v6-notebook8a8c996b97", "kernel_id": "76829100"}, {"ref": "raj110/fork-of-convnext-1", "kernel_id": "77123573"}, {"ref": "emrullahyediyildiz/tensor-reloaded-multi-task-medmnist", "kernel_id": "89641134"}]}
{"competition_id": "86881", "kernels": [{"ref": "shrishh/apartments-price-prediction-using-h2o-ai", "kernel_id": "71235019"}, {"ref": "ecedalpolat/apartmentspricepredictioninalmaty", "kernel_id": "73523128"}, {"ref": "masodulhassanghauri/apartments-price-prediction-in-almaty", "kernel_id": "73045446"}]}
{"competition_id": "86892", "kernels": []}
{"competition_id": "86900", "kernels": []}
{"competition_id": "86946", "kernels": [{"ref": "vrshyamsunder/lmsys-llama-3-tpu-train-97a789", "kernel_id": "61788194"}, {"ref": "vrshyamsunder/inference-gemma-2-9b-4-bit-qlora", "kernel_id": "62069041"}, {"ref": "alfazick/less-is-more", "kernel_id": "71817479"}, {"ref": "taimour/wsdm-sentiment-analysis-eda", "kernel_id": "71336484"}, {"ref": "yekenot/wsdm-ancient-baseline", "kernel_id": "71111777"}, {"ref": "takamichitoda/wsdm-apply-previous-lmsys-solution", "kernel_id": "71123430"}, {"ref": "oscarm524/wsdm-cup-tabular-modeling", "kernel_id": "71479672"}, {"ref": "stpeteishii/wsdm-torch-xlm-roberta-wo-inet", "kernel_id": "71288542"}, {"ref": "stpeteishii/wsdm-train-data-for-fit", "kernel_id": "71211214"}, {"ref": "mpwolke/please-be-boring-gemma2keras", "kernel_id": "71081023"}, {"ref": "mpwolke/languages-we-speak-gemma2", "kernel_id": "71177523"}, {"ref": "mpwolke/different-languages-different-thoughts", "kernel_id": "71196434"}, {"ref": "mbmmurad/gemma-2-9b-4-bit-qlora-lb-0-63", "kernel_id": "71087873"}, {"ref": "wguesdon/simple-baseline-model", "kernel_id": "71180644"}, {"ref": "chiragb254/wsdm-code2", "kernel_id": "71436949"}, {"ref": "yasserhessein/gpt2-multilingual-chatbot-arena", "kernel_id": "71337049"}, {"ref": "pietromaldini1/multilingual-chatbot-arena-challenge-baseline", "kernel_id": "71086418"}, {"ref": "colorfuldra/quick-start-qwen2-5-0-5b-can-gain-0-631-score", "kernel_id": "71808891"}, {"ref": "mirzamilanfarabi/wsdm-chatbot-v1-0", "kernel_id": "71068825"}, {"ref": "ambrosm/wsdm-all-you-need-is-a-decision-tree", "kernel_id": "71187338"}, {"ref": "motono0223/eda-wsdm-cup-multilingual-chatbot-arena", "kernel_id": "71165695"}, {"ref": "ravi20076/wsdm2024-public-imports-v1", "kernel_id": "71154494"}, {"ref": "ravi20076/wsdm2024-baseline-v1", "kernel_id": "71161212"}, {"ref": "ttakka925/wsdm-base-tucker", "kernel_id": "71778560"}, {"ref": "yunsuxiaozi/wsdm-yunbase", "kernel_id": "71151142"}, {"ref": "samanfatima7/wsdm-get-started", "kernel_id": "71424885"}, {"ref": "nawazhaider/xgboost-baseline-of-baselines", "kernel_id": "71170071"}, {"ref": "stemosamaghandour/wsdm-cup-multilingual-chatbot-by-stem-cs-eng", "kernel_id": "71534034"}, {"ref": "gagandeep44489/wisdom-cup-bert-prediction", "kernel_id": "71293681"}, {"ref": "abdmental01/wsdm-abdbase-v2", "kernel_id": "71220762"}, {"ref": "abdmental01/wsdm-abdbase", "kernel_id": "71211322"}, {"ref": "abdullah0a/multilingual-chatbot-training-bots", "kernel_id": "71265497"}, {"ref": "shahzaibmalik44/wsdm-eda-ensemble-learning-99-9", "kernel_id": "71259018"}, {"ref": "jiaoyouzhang/wsdm-tfidf-voting-lgb-xgb-cat", "kernel_id": "71132152"}, {"ref": "baibhavkundu2005/wsdm-preprocess-feature-engineering-and-catboost", "kernel_id": "71311139"}, {"ref": "piuati/qwen7b-4int", "kernel_id": "71467618"}, {"ref": "gaoyeechen/chatbot-data-visualization-and-analysis", "kernel_id": "71743641"}, {"ref": "snehachalla/wsdm-team-c-eda", "kernel_id": "72458118"}, {"ref": "nzw0301/uni-token-fasttext-based-reward-modelling", "kernel_id": "72929524"}, {"ref": "taimin/wsdm-gen-feats-tdidf-nmf", "kernel_id": "72362743"}, {"ref": "flashai/qwen2-7b-instruct-with-vllm-0-6-3-inference", "kernel_id": "72538357"}, {"ref": "ahmedoy/gemma-2-2b-4-bit-qlora-submission", "kernel_id": "72309874"}, {"ref": "yadayuki/win-rate-by-llm-relevance-length-win-rate", "kernel_id": "72486107"}, {"ref": "jxm222/gemma-training-new", "kernel_id": "72194253"}, {"ref": "colorfuldra/quick-start-how-to-finetune-qwen2-5", "kernel_id": "72328124"}, {"ref": "jagatkiran/vllm-qwen14b-zero-shot-logits-processor-zoo", "kernel_id": "72951432"}, {"ref": "qianxinyu/notebookb237c1e88a", "kernel_id": "72298297"}, {"ref": "qianxinyu/wsdm-inference-new", "kernel_id": "72545742"}, {"ref": "pjmathematician/wsdm-language-based-split", "kernel_id": "72930759"}, {"ref": "srinivasta/wsdm-sentiment-analysis", "kernel_id": "72365117"}, {"ref": "pshikk/score-58-simple", "kernel_id": "72074123"}, {"ref": "playmakerg/modules-mg", "kernel_id": "72015661"}, {"ref": "ahmedayman4a/qwen-reward-model-submission", "kernel_id": "72515978"}, {"ref": "jason2022zhang/multilingual-chatbot-arena", "kernel_id": "72221176"}, {"ref": "shelterw/extra-dataset-process", "kernel_id": "72770042"}, {"ref": "nextnlp/notebookb237c1e88a", "kernel_id": "72715343"}, {"ref": "phongnguyenthuando/inference-wsdm-cup", "kernel_id": "72557924"}, {"ref": "seifamgad/training-gemma-2-9b-4-bit-qlora-fine-tuning-fixed", "kernel_id": "72082974"}, {"ref": "seifamgad/gemma-2b-submit-code", "kernel_id": "72348031"}, {"ref": "domadiosmorcos/notebooke686145960", "kernel_id": "72129876"}, {"ref": "domadiosmorcos/notebookb212766329", "kernel_id": "72727687"}, {"ref": "moustafaamer12/wsdm-finetuning-qwen2-5-as-a-causallm", "kernel_id": "72391913"}, {"ref": "matthieuouvrard/notebook8ff580abf2-ilumnia", "kernel_id": "72884073"}, {"ref": "hengck23/sft-gemma-2-9b-it-bnb-4bit", "kernel_id": "73734387"}, {"ref": "rin2401/wsdm-cup-lmsys-0805", "kernel_id": "73827956"}, {"ref": "medali1992/wsdm-library", "kernel_id": "73111163"}, {"ref": "kitsuha/zero-shot-starter-qwen2-5-0-5b", "kernel_id": "73313411"}, {"ref": "kitsuha/beginner-friendly-for-fine-tuning", "kernel_id": "73315515"}, {"ref": "kitsuha/wsdm-library", "kernel_id": "73373084"}, {"ref": "wordcards/wsdm-universal-sentence-encoder-lightgbm", "kernel_id": "73487336"}, {"ref": "dongkeunbak/wsdm-cup-eda-get-started", "kernel_id": "73606978"}, {"ref": "takaito/wsdm-cup-lb-0-684-only-gemma-2-9b-4-bit", "kernel_id": "73716328"}, {"ref": "jagatkiran/vllm-phi-4-14b-zero-shot", "kernel_id": "73184419"}, {"ref": "emeraldgoose/wsdm-qwen-rt", "kernel_id": "73856197"}, {"ref": "emeraldgoose/wsdm-gemma-2-2b-4bit-finetuned", "kernel_id": "73799143"}, {"ref": "emeraldgoose/wsdm-cup-gemma-2", "kernel_id": "73661471"}, {"ref": "moritako/testnotebook4", "kernel_id": "73043153"}, {"ref": "moritako/testnotebook5", "kernel_id": "73043181"}, {"ref": "linchenyu/5th-place-solution", "kernel_id": "73574699"}, {"ref": "yunsuxiaozi/wsdm-debertav3small", "kernel_id": "73136289"}, {"ref": "shelterw/vllm-qwen2-5-cls", "kernel_id": "73336409"}, {"ref": "tranjimmy/notebookd09a1975c4", "kernel_id": "73154563"}, {"ref": "suryanshyagnik/wsdm-cup", "kernel_id": "73671551"}, {"ref": "c0ldzy/improved-weights", "kernel_id": "73380914"}, {"ref": "liufenghao/16th-place-train-1-of-3-modified", "kernel_id": "73847333"}, {"ref": "avish006/beginner-friendly-tf-idf-and-rfclassifier-0-555", "kernel_id": "73413033"}, {"ref": "sabra15/multilingual-chatbot-arena-qwen2-5", "kernel_id": "73825922"}, {"ref": "dreamlong/wsdm-cup-multilingual-chatbot-arena", "kernel_id": "73008415"}, {"ref": "hengck23/unsloth-trained-gemma-2-9b-it", "kernel_id": "74178292"}, {"ref": "hengck23/sft-phi4-14b-it-bnb-4bit", "kernel_id": "74959347"}, {"ref": "mnk812/20250107-predict", "kernel_id": "74615458"}, {"ref": "mnk812/20250107-valid", "kernel_id": "74226795"}, {"ref": "kumarandatascientist/wsdm-tdif-logistic-pipeline-easy-to-use", "kernel_id": "74230800"}, {"ref": "kumarandatascientist/wsdm-androchatbot-ml-pipeline-model", "kernel_id": "74136891"}, {"ref": "breakife/wsdm-embedding-with-fasttext", "kernel_id": "74040017"}, {"ref": "sercanyesiloz/wsdm-cup-gemma-2-9b-inference", "kernel_id": "74083970"}, {"ref": "johnsonhk88/multilingual-chatbot-arena-llm-fine-tune", "kernel_id": "74160624"}, {"ref": "vyacheslavshen/ensemble-of-boosted-trees-and-logreg", "kernel_id": "74588157"}, {"ref": "emeraldgoose/wsdm-xlm-roberta-base-rt", "kernel_id": "74842575"}, {"ref": "emeraldgoose/wsdm-xlm-roberta-base-rt-inference", "kernel_id": "74810000"}, {"ref": "handudu/lmsys-peft0-14-0", "kernel_id": "74432152"}, {"ref": "qianxinyu/wsdm-cup-lb-0-684-only-gemma-2-9b-4-bit", "kernel_id": "74307681"}, {"ref": "faykudbq/gemma-test01", "kernel_id": "74380304"}, {"ref": "harshith95/notebooke6eeca1efa", "kernel_id": "74072841"}, {"ref": "iitm21f1002696/bertenc-x-catboost", "kernel_id": "74506896"}, {"ref": "iitm21f1002696/modernbert-preprocessor", "kernel_id": "74193406"}, {"ref": "junliangye/testing-unsloth-offline-qwen-14b-inference", "kernel_id": "74572281"}, {"ref": "junliangye/unsloth-qwen2-5-7b-instruct-bnb-4bit", "kernel_id": "74569825"}, {"ref": "junliangye/testing-unsloth-offline-test-data", "kernel_id": "74586898"}, {"ref": "junliangye/unsloth-trained-gemma-2-9b-it", "kernel_id": "74448157"}, {"ref": "junliangye/unsloth-qwen2-5", "kernel_id": "74315699"}, {"ref": "junliangye/unsloth-gemma", "kernel_id": "74838567"}, {"ref": "younusmohamed/41-01-lr", "kernel_id": "74908291"}, {"ref": "ravaghi/wsdm-cup-gemma-2-9b-4-bit-qlora-inference", "kernel_id": "74693428"}, {"ref": "ravaghi/wsdm-cup-gemma-2-9b-logistic-regression", "kernel_id": "74695280"}, {"ref": "ravaghi/wsdm-cup-gemma-2-9b-4-bit-qlora-training", "kernel_id": "74684275"}, {"ref": "liufenghao/16th-place-quantize-2-of-3", "kernel_id": "74842131"}, {"ref": "liufenghao/16th-place-infer-3-of-3", "kernel_id": "74948039"}, {"ref": "xiaoleilian/translate-samples-to-balance-the-language", "kernel_id": "74442001"}, {"ref": "a14iiiii/wsdm-perplexity", "kernel_id": "74255032"}, {"ref": "mccocoful/wsdm-public-submission", "kernel_id": "74334436"}, {"ref": "ttttzz/training-gemma-2-9b-4-bit-qlora-fine-tuni-2d6714", "kernel_id": "74685282"}, {"ref": "torrentbrave/training-qlora-gemma-2-9b-4-bit-fine-tuning", "kernel_id": "74818587"}, {"ref": "torrentbrave/deberta-train-plus-inference", "kernel_id": "74986111"}, {"ref": "anacpricciardi/multi-view-transformers", "kernel_id": "74877865"}, {"ref": "ruixia12122/w-s-d-m-cu-pwsdmcup", "kernel_id": "74894376"}, {"ref": "sabra15/multilingual-chatbot-arena-gemma2-lora", "kernel_id": "74952455"}, {"ref": "djc020623nzh/wsdm-cup-lb-0-684-only-gemma-2-9b-4-bit", "kernel_id": "74185313"}, {"ref": "ainidr25/inference-llama-3-8b", "kernel_id": "74672143"}, {"ref": "markpeng/gemma2-llama3-2-ensemble-v1", "kernel_id": "75847930"}, {"ref": "mauddib/multilingual-chatbot-arena-0-61-lightgbm-classify", "kernel_id": "75362549"}, {"ref": "yekenot/wsdm-gemma-2-2b-lora-training", "kernel_id": "75318861"}, {"ref": "yekenot/wsdm-gemma-2-2b-lora-inference", "kernel_id": "75370335"}, {"ref": "conjuring92/wsdm-qwen-32b-t4-fix", "kernel_id": "75609267"}, {"ref": "conjuring92/wsdm-7th-place-solution", "kernel_id": "75624796"}, {"ref": "conjuring92/wsdm-qwen-32b-head", "kernel_id": "75617715"}, {"ref": "mohammedhamdan/arena-chatbot-multilang", "kernel_id": "75021749"}, {"ref": "stpeteishii/wsdm-cup-bart-fit-predict-wo-int", "kernel_id": "75349050"}, {"ref": "atharvaingle/wsdm-cup-stage-2-submission", "kernel_id": "75354090"}, {"ref": "zhudong1949/lmsys-0130", "kernel_id": "75574891"}, {"ref": "zhudong1949/lmsys-0201", "kernel_id": "75698070"}, {"ref": "mayakaripel/wsdm-arena-chatbot-evaluation", "kernel_id": "75784802"}, {"ref": "lenferdetroud/sft-gemma-2-9b-it-bnb-4bit-eb7dd2", "kernel_id": "75297949"}, {"ref": "mahmouddevgamal/gemma-classification-arena", "kernel_id": "75396530"}, {"ref": "hemanthkumar21/reward-modeling-rlhf-with-qwen2-5-0-5b", "kernel_id": "75711950"}, {"ref": "handudu/gemma-2-9b-local-version", "kernel_id": "75324953"}, {"ref": "river505/multilingual-chatbot-arena-challenge-baseline", "kernel_id": "75011891"}, {"ref": "playmakerg/notebooke268fccdb7", "kernel_id": "75669045"}, {"ref": "justin1357/tokenize-new", "kernel_id": "75377056"}, {"ref": "aydarkhisamov/wsdm-cup-gte-multilingual-reranker-base-infer", "kernel_id": "75879846"}, {"ref": "ravaghi/wsdm-cup-autogluon-training", "kernel_id": "75004026"}, {"ref": "ravaghi/wsdm-cup-gemma-2-9b-4-bit-qlora-autogluon", "kernel_id": "75348427"}, {"ref": "comistrymo/comistrymo-training-book", "kernel_id": "75073534"}, {"ref": "torrentbrave/llama3-8b-4-bit-qlora-sft-llm-is-all-you-need", "kernel_id": "75328024"}, {"ref": "torrentbrave/llm-is-all-you-need", "kernel_id": "75284498"}, {"ref": "mahabualahiatik/chatbot-deepseek-r1-distill-qwen-14b-awq", "kernel_id": "75417951"}, {"ref": "monkmode1/wsdm-chatbot", "kernel_id": "75622807"}, {"ref": "orangeaugust/lmsys2", "kernel_id": "75762483"}, {"ref": "ainidr25/llama-3-8b-chat-hf-824969", "kernel_id": "75039790"}, {"ref": "dougeyu/fork-of-zero-shot-starter-qwen2-5-0-5b", "kernel_id": "75624254"}, {"ref": "akshayr009/wsdm-cup-multilingual-chatbot-arena", "kernel_id": "76999653"}, {"ref": "mianwang1024/vllm-qwen2-5-14b-2ef57b-44465a", "kernel_id": "78391048"}, {"ref": "daihengwei/wsdm-vllm-gen-inference-pb714", "kernel_id": "78680346"}, {"ref": "comistrymo/gp-train-0319", "kernel_id": "78863905"}, {"ref": "ttttzz/sft-gemma-2-9b-it-bnb-4bit-d1f95a-259978", "kernel_id": "79704813"}, {"ref": "ponthakornsodchun/step-into-the-llms", "kernel_id": "79920346"}, {"ref": "atharvjairath/wsdmcode", "kernel_id": "80705626"}, {"ref": "yeoyunsianggeremie/lmsys-aggregation", "kernel_id": "81966462"}, {"ref": "rajgupta987/wsdm-cup-inference", "kernel_id": "89103432"}, {"ref": "lukasheza/wsdm-inference", "kernel_id": "95797230"}, {"ref": "rayrevive/version24", "kernel_id": "111574932"}, {"ref": "rayrevive/test25", "kernel_id": "111803698"}]}
{"competition_id": "86960", "kernels": [{"ref": "fdfyaytkt/dakiet-aaai25-vruid", "kernel_id": "75620846"}]}
{"competition_id": "86962", "kernels": [{"ref": "significantbutter/loading-the-data", "kernel_id": "67885518"}]}
{"competition_id": "86967", "kernels": []}
{"competition_id": "86970", "kernels": []}
{"competition_id": "86972", "kernels": [{"ref": "moonheechan/baseline-code", "kernel_id": "69060525"}]}
{"competition_id": "86985", "kernels": []}
{"competition_id": "86993", "kernels": []}
{"competition_id": "87058", "kernels": []}
{"competition_id": "87059", "kernels": []}
{"competition_id": "87067", "kernels": []}
{"competition_id": "87071", "kernels": []}
{"competition_id": "87072", "kernels": []}
{"competition_id": "87091", "kernels": []}
{"competition_id": "87128", "kernels": []}
{"competition_id": "87135", "kernels": [{"ref": "twobob/rdkit-firstlook", "kernel_id": "68167780"}, {"ref": "a14iiiii/7th-lb-cosine-similarity-solution", "kernel_id": "69273341"}, {"ref": "ambisinistra/random-walk", "kernel_id": "71417052"}, {"ref": "jamalsaeedi/random-walk-n", "kernel_id": "72795394"}, {"ref": "alekseytrepetsky/mcs-vs-levenstein", "kernel_id": "73286820"}, {"ref": "samiraalipour/humangutpathwaysprediction-chemicalrelevance", "kernel_id": "81724898"}]}
{"competition_id": "87141", "kernels": []}
{"competition_id": "87160", "kernels": [{"ref": "sanro333/fangjiabaogao", "kernel_id": "72482798"}, {"ref": "awaguliyakupu/house-price", "kernel_id": "72732623"}]}
{"competition_id": "87166", "kernels": [{"ref": "patricksampaio/pmr3508-2024-128", "kernel_id": "69611588"}, {"ref": "olenscki/pmr3508-2024-129-mnist", "kernel_id": "69168499"}, {"ref": "bernardo1022/pmr3508-2024-51-mnist", "kernel_id": "69063312"}, {"ref": "gjperin/pmr3508-2024-87-mnist", "kernel_id": "69152338"}, {"ref": "mateusmazzoco/pmr3508-2024-107", "kernel_id": "69338111"}, {"ref": "pedroham/pmr3508-2024-5-mnist", "kernel_id": "69178365"}, {"ref": "pmr3508202439/pmr3508-2024-39-mnist", "kernel_id": "69605882"}, {"ref": "pmr3508202472/pmr3508-2024-72-mnist", "kernel_id": "69183438"}, {"ref": "pmr3508202432/pmr3508-2024-32-mnist", "kernel_id": "69926231"}, {"ref": "pmr35082024100/pmr3508-2024-100-mnist", "kernel_id": "69096558"}, {"ref": "caetanofilho/pmr3508-2024-57-mnist", "kernel_id": "70795433"}, {"ref": "henriquegropelli/pmr3508-2024-123-mnist", "kernel_id": "70379778"}, {"ref": "rdassiep/pmr3508-2024-25-mnist", "kernel_id": "70594405"}, {"ref": "od4irg/pmr3508-2024-83-mnist", "kernel_id": "70607548"}, {"ref": "pedropereiramoraes/pmr3508-2024-8-mnist", "kernel_id": "70822818"}, {"ref": "ayanatanaka/pmr3508-2024-52", "kernel_id": "70994900"}, {"ref": "pmr3508202412561642/pmr3508-2024-90-mnist", "kernel_id": "70104989"}, {"ref": "luantav/pmr3508-2024-97-mnist", "kernel_id": "70706004"}, {"ref": "juliaachaves/pmr508-2024-63-mnist", "kernel_id": "70277649"}, {"ref": "pmr3508202473/pmr3508-2024-73-mnist", "kernel_id": "70788788"}, {"ref": "lucarvalho/pmr3508-2024-105-mnist", "kernel_id": "70742651"}, {"ref": "daikiteruyainoue/pmr3508-2024-49-mnist", "kernel_id": "70670810"}, {"ref": "pmr3508202466/pmr3058-2024-66-mnist", "kernel_id": "70397143"}, {"ref": "pmr35082022132/pmr3508-2024-132-mnist", "kernel_id": "70195609"}, {"ref": "pmr3508202433/pmr3508-2024-33-mnist-ep02", "kernel_id": "70828046"}, {"ref": "victorefcaballero/pmr3508-2024-84-ep2", "kernel_id": "70832695"}, {"ref": "pedrortfilho/pmr3508-2024-95", "kernel_id": "70907845"}, {"ref": "guilhermednabreu/pmr3508-2024-15-mnist", "kernel_id": "70972720"}, {"ref": "joopedrofeitosa/pmr3508-2024-133-mnist", "kernel_id": "71868701"}, {"ref": "gmargon/pmr3508-2024-17", "kernel_id": "71489881"}, {"ref": "joovitordemelomorais/pmr3508-2024-69-mnist", "kernel_id": "71206689"}, {"ref": "heitorgamaribeiro/pmr3508-2024-43-mnist", "kernel_id": "71573705"}, {"ref": "caiopenayo/pmr3508-2024-104-mnist", "kernel_id": "71569382"}, {"ref": "luca7084/pmr3508-2024-135-mnist", "kernel_id": "71561397"}, {"ref": "vitormalmeida/pmr3508-2024-139-mnist-3", "kernel_id": "71569230"}, {"ref": "ikrasnikovas/pmr3508-2024-41-mnist", "kernel_id": "71261796"}, {"ref": "mikhailfutorny/pmr3508-9-mnist", "kernel_id": "71553939"}, {"ref": "felipeanibal/pmr3508-2024-59-mnist", "kernel_id": "71502086"}, {"ref": "solanonascimento/pmr3508-2024-24-mnist", "kernel_id": "71037730"}, {"ref": "asaffeduarte/pmr3508-2024-53-mnist", "kernel_id": "71568537"}, {"ref": "llnycollasll/pmr3508-2024-18-mnist", "kernel_id": "71188573"}, {"ref": "pmr3508202476/pmr3508-2024-76-mnist", "kernel_id": "71491705"}, {"ref": "cascalhofalho/pmr3508-2024-26-mnist", "kernel_id": "71537600"}, {"ref": "pmr350812/pmr3508-2024-12-3", "kernel_id": "71149730"}, {"ref": "pmr350812/pmr3508-2024-12-4", "kernel_id": "71500468"}, {"ref": "pmr3508202470/pmr3508-2024-70-mnist", "kernel_id": "71196554"}, {"ref": "pmr3508202427/pmr3508-2024-27-mnist", "kernel_id": "71562297"}, {"ref": "hvsguerra/pmr3508-2024-64-mnist", "kernel_id": "71184517"}, {"ref": "pmr3508202488/pmr3508-2024-88-mnist", "kernel_id": "71518805"}, {"ref": "pmr35082024116/pmr3508-2024-116-mnist", "kernel_id": "71560033"}, {"ref": "marcoajgf/pmr3508-2024-121-mnist", "kernel_id": "71563477"}, {"ref": "carloskahashizume/pmr3508-2024-117-mnist", "kernel_id": "71571222"}, {"ref": "gustavochinen/pmr3508-2024-91-mnist", "kernel_id": "71117457"}, {"ref": "pmr35082024112/pmr3508-2024-112-mnist", "kernel_id": "71573885"}, {"ref": "pmr3508202467/pmr3508-2024-67-mnist", "kernel_id": "71466303"}, {"ref": "pmr35082024119/pmr3508-2024-119-mnist", "kernel_id": "71488612"}, {"ref": "andlbbueno/pmr3508-2024-120-mnist", "kernel_id": "71554413"}, {"ref": "pmr3508202438/pmr3508-2024-38-mnist", "kernel_id": "71273456"}, {"ref": "pmr3508202437/pmr3508-2024-37-mnist", "kernel_id": "71558763"}, {"ref": "pmr35082024130/pmr3508-2024-130", "kernel_id": "71469617"}, {"ref": "pmr3508202498/pmr3508-2024-98-mnist", "kernel_id": "71190678"}, {"ref": "marcosgabriel7/pmr3508-2024-137-mnist-a", "kernel_id": "71561132"}, {"ref": "pmr3508202274/pmr3508-2024-74-mnist", "kernel_id": "71510471"}, {"ref": "pmr3508202428/pmr3508-2024-28-mnist", "kernel_id": "71573470"}, {"ref": "pmr3508202462/pmr3508-2024-62-mnist", "kernel_id": "71467384"}, {"ref": "pedrobacelar/pmr3508-2024-126-mnist", "kernel_id": "71500644"}, {"ref": "pmr3508202450/pmr3508-2024-50-minst", "kernel_id": "71504600"}, {"ref": "pmr3508202485/pmr3508-2024-85-mnist", "kernel_id": "71578268"}, {"ref": "matheusspinardi/pmr3508-2024-115-mnist", "kernel_id": "71558107"}, {"ref": "pmr3508202482/pmr3508-2024-82-mnist", "kernel_id": "71574024"}, {"ref": "diegopadilhatrach/pmr3508-2024-113-mnist", "kernel_id": "71583570"}, {"ref": "pmr202442/pmr3508-2024-42-mnistt", "kernel_id": "71576869"}, {"ref": "jooperycittadella/pmr3508-2024-101-mnist", "kernel_id": "71554274"}, {"ref": "guilhermelpa/pmr3508-2024-44-mnist", "kernel_id": "71445354"}, {"ref": "pmr35082024125/pmr3508-2024-125-mnist", "kernel_id": "71489637"}, {"ref": "pmr3508202431/pmr3508-2024-31-mnist", "kernel_id": "71508495"}, {"ref": "vinilira/pmr3508-2024-79-mnist", "kernel_id": "71556910"}, {"ref": "ulissespaixocordeiro/pmr3508-2024-23-mnist", "kernel_id": "71568488"}, {"ref": "andrerosen/pmr3508-2024-54-mnist", "kernel_id": "71560270"}, {"ref": "pmr35082024106/pmr3508-2024-106-mnist", "kernel_id": "71574513"}, {"ref": "pmr350856/pmr3508-2024-56", "kernel_id": "71515617"}, {"ref": "pmr3508202481/pmr3508-2024-81-mnist", "kernel_id": "71571127"}, {"ref": "pmr3508202445/pmr3508-2024-45-mnist-ipynb", "kernel_id": "71514851"}, {"ref": "pmr3508202477/pmr3508-2024-77-mnist", "kernel_id": "71478557"}, {"ref": "pmr3508202455/pmr3508-2024-55", "kernel_id": "71564634"}, {"ref": "pmr35082024118/pmr3508-2024-118-mnist", "kernel_id": "71578913"}, {"ref": "pmr35082024114/pmr3508-2024-114-mnist", "kernel_id": "71574147"}, {"ref": "runtabrkot/pmr3508-2024-10", "kernel_id": "71331340"}, {"ref": "pmr35082022127/pmr3508-2024-127-mnist-5", "kernel_id": "71573151"}, {"ref": "pmr35082022127/pmr3508-2024-127-mnist-2", "kernel_id": "71571529"}, {"ref": "pmr35082022127/pmr3508-2024-127-7", "kernel_id": "71576034"}, {"ref": "vitorvacbitualves/pmr3508-2024-102-mnist", "kernel_id": "71574075"}, {"ref": "pmr3508202420/pmr3508-2024-20-mnist", "kernel_id": "71203146"}, {"ref": "enzofspinella/pmr3508-2024-48-mnist", "kernel_id": "71577701"}, {"ref": "pmr3508202234/pmr3508-2024-34-mnist", "kernel_id": "71554357"}, {"ref": "pmr3508202446/pmr3508-2024-46-mnist", "kernel_id": "71579614"}, {"ref": "pmr35082024108/pmr3508-2024-108", "kernel_id": "71446819"}, {"ref": "victorzacariasusp/pmr3508-2024-22-mnist", "kernel_id": "71586689"}, {"ref": "pmr35082022109/pmr3508-2024-109-mnist", "kernel_id": "71502732"}, {"ref": "pmr35082024134/pmr3508-2024-134-mnist", "kernel_id": "71243281"}, {"ref": "pmr35082024110/pmr3508-2024-110-mnist", "kernel_id": "71598320"}, {"ref": "tiagogiriofelice/pmr-2024-68-mnist", "kernel_id": "71285102"}, {"ref": "pmr3508202429/pmr3508-2024-29-mnist", "kernel_id": "71584237"}, {"ref": "leonardoguemont/pmr3508-2024-136-mnist", "kernel_id": "71581591"}, {"ref": "pmr3508202458mnist/pmr3508-2024-58-mnist", "kernel_id": "71099391"}, {"ref": "gabrielemidiosantos/pmr3508-2024-7-mnist", "kernel_id": "71576691"}, {"ref": "pmr3508202450/pmr3508-2024-50-minst-correct", "kernel_id": "72575027"}]}
{"competition_id": "87180", "kernels": []}
{"competition_id": "87186", "kernels": []}
{"competition_id": "87189", "kernels": [{"ref": "sahaj96/ps-2-gradient-twist", "kernel_id": "69144432"}, {"ref": "khanakpatwari/url-cypher-by-domain-expansion", "kernel_id": "69936073"}, {"ref": "kmalphamale/url-challenge", "kernel_id": "69765759"}, {"ref": "uditanshsri/url-cypher", "kernel_id": "69358100"}, {"ref": "harshpatil10/url-phishing-patil", "kernel_id": "70337687"}, {"ref": "inevitableyash/notebookc5cd19052a", "kernel_id": "70283236"}, {"ref": "ritikchaudhry13/url-cypher-battle-for-the-digital-streets", "kernel_id": "70283203"}]}
{"competition_id": "87194", "kernels": []}
{"competition_id": "87196", "kernels": []}
{"competition_id": "87202", "kernels": []}
{"competition_id": "87216", "kernels": []}
{"competition_id": "87227", "kernels": []}
{"competition_id": "87230", "kernels": [{"ref": "iragia/fill-missing-traces-gdlc", "kernel_id": "68400632"}, {"ref": "iragia/gprmax-simulations-gdlc", "kernel_id": "68399180"}, {"ref": "iragia/open-evaluation-dat", "kernel_id": "68402275"}, {"ref": "iragia/gdlc-inversion-unet", "kernel_id": "68398118"}, {"ref": "ucas0v0zhuoqunli/swinunet", "kernel_id": "68752835"}, {"ref": "ucas0v0zhuoqunli/bscan-pattern", "kernel_id": "70013478"}, {"ref": "yugokato/part1-direct-wave-analysis", "kernel_id": "84151505"}, {"ref": "yugokato/part2-neural-network-model", "kernel_id": "85632107"}]}
{"competition_id": "87232", "kernels": [{"ref": "vope1230/notebook3d254cedbd", "kernel_id": "70842749"}, {"ref": "tmub507110014/dmlabtry1", "kernel_id": "71973024"}, {"ref": "charlionkaggle/notebook32747db4f1", "kernel_id": "71676851"}, {"ref": "ricdatadog/tfidf", "kernel_id": "72487362"}, {"ref": "ricdatadog/newmodel", "kernel_id": "72707489"}, {"ref": "wilsonlin55555/dmlab2-ver2", "kernel_id": "73534996"}]}
{"competition_id": "87237", "kernels": []}
{"competition_id": "87267", "kernels": []}
{"competition_id": "87270", "kernels": []}
{"competition_id": "87301", "kernels": []}
{"competition_id": "87307", "kernels": []}
{"competition_id": "87308", "kernels": []}
{"competition_id": "87310", "kernels": [{"ref": "aqua16/the-street-s-chess-showdown-by-domain-expansion", "kernel_id": "69470538"}, {"ref": "hrithiman/deepcoders2", "kernel_id": "69477946"}, {"ref": "shreyanshkaramtot217/notebook328b72b9a3", "kernel_id": "69850100"}, {"ref": "shaurya410/feins", "kernel_id": "69026753"}, {"ref": "shaurya410/chess-showdown", "kernel_id": "69261532"}, {"ref": "kmalphamale/chess-v2", "kernel_id": "69921862"}, {"ref": "sahaj96/final-gradient-twist-ps-3", "kernel_id": "70249220"}, {"ref": "flyingarpit/q3-chess", "kernel_id": "70259358"}]}
{"competition_id": "87312", "kernels": [{"ref": "komalreddy432/notebook96266f0c0d", "kernel_id": "73173749"}, {"ref": "luisatriana/traveler-insights-utb-2", "kernel_id": "103484201"}]}
{"competition_id": "87321", "kernels": [{"ref": "sahilgupta2005/seans-car-by-domain-expansion", "kernel_id": "69600134"}, {"ref": "hrithiman/deepcoders2-ps1", "kernel_id": "69228630"}, {"ref": "kmalphamale/car-challenge", "kernel_id": "69157113"}, {"ref": "sahaj96/ps-1-gradient-twist-final", "kernel_id": "70283200"}, {"ref": "shaurya410/sean-evaluation", "kernel_id": "70281617"}, {"ref": "inevitableyash/notebookd2136cfc60", "kernel_id": "70252039"}, {"ref": "ritikchaudhry13/street-legends-sean-s-car-valuation-challenge-2", "kernel_id": "70192367"}]}
{"competition_id": "87323", "kernels": [{"ref": "jesucristo/cidaut-fake-scenes-starter-kit", "kernel_id": "68549487"}, {"ref": "ucas0v0zhuoqunli/cidaut-fake-scenes-starter-kit", "kernel_id": "68729047"}, {"ref": "killa92/face-scene-data-analysis-visualization", "kernel_id": "71741440"}, {"ref": "angelgm/clasificador-comp", "kernel_id": "72424610"}, {"ref": "pinuto/cidaut-fakescene-2024", "kernel_id": "72833248"}, {"ref": "wangxianghao/fakescene", "kernel_id": "72954076"}, {"ref": "hwkims/hyun-woo-kim-0-9187-notebookfe2a151f78", "kernel_id": "72069833"}, {"ref": "ecnetepmoc/notebook6f0fdc15c5", "kernel_id": "73956300"}, {"ref": "alivasisari/cidaut-ai-fake-scene-classification-2024", "kernel_id": "73541441"}, {"ref": "livaikira/cidaut-ai-fake-scene-classification-2024", "kernel_id": "73746421"}, {"ref": "manosakthit/fake-scene-classification-using-pytorch", "kernel_id": "73627824"}, {"ref": "sanskarpar/cidaut-3", "kernel_id": "73365557"}, {"ref": "ashikshahriar/histogrtam-based-classification", "kernel_id": "73813096"}, {"ref": "danyamur/pseudolabels-and-meta-features-trick", "kernel_id": "73670074"}, {"ref": "pssingh1434131/best-code", "kernel_id": "73538433"}, {"ref": "priyagurjar198922/image-real-fake", "kernel_id": "73969410"}, {"ref": "marius2303/top-75-cidaut-ai-fake-scene-effnetv2b0", "kernel_id": "73095342"}, {"ref": "iamtapendu/ai-fake-scene-classification", "kernel_id": "74862398"}, {"ref": "felixpfeiffer/cidaut-2024-top-5-solution", "kernel_id": "74969335"}, {"ref": "husnashamlik/cidaut-2024-real-vs-fake-pytorch-auc-0-6817", "kernel_id": "74914975"}, {"ref": "husnashamlik/cidaut-fake-vs-real-keras-auc-0-78", "kernel_id": "74922268"}, {"ref": "youssefhatem1/cidaut-ai-fake", "kernel_id": "74523532"}, {"ref": "johnchen941/score0-91-use-swin-transformer", "kernel_id": "74762163"}, {"ref": "sarasaadoun/fake-real-scene-hsv-finetuning-cnn-svm", "kernel_id": "74777415"}, {"ref": "priyagurjar198922/fork-of-image-real-fake", "kernel_id": "74246920"}, {"ref": "huzaifamehboob/achieving-90-roc-auc-in-fake-scene-classification", "kernel_id": "74032461"}, {"ref": "ronakbedi/classification-using-vision-transformers", "kernel_id": "74184781"}, {"ref": "quentinducoulombier/cidaut-regnet", "kernel_id": "74635910"}, {"ref": "quentinducoulombier/cidaut-efficientnetv2", "kernel_id": "74493575"}, {"ref": "quentinducoulombier/cidaut-vit", "kernel_id": "74333782"}, {"ref": "quentinducoulombier/vit-efficientnet-regnet-cidaut-ai", "kernel_id": "74337634"}, {"ref": "shreyasraghav/classification-using-vision-transformers", "kernel_id": "74166287"}, {"ref": "shreyasraghav/cidaut-ai-fake-scene-sequential-nb", "kernel_id": "74087865"}, {"ref": "shreyasraghav/main-nb-for-autogluon", "kernel_id": "74943189"}, {"ref": "mahmoudelwaleedkamal/fake-vs-real", "kernel_id": "74512267"}, {"ref": "eduardosaidpastrana/cursoap", "kernel_id": "74786526"}, {"ref": "hwkims/fork-of-convnext-ai-classification", "kernel_id": "74792522"}, {"ref": "hwkims/convnext-ai-classification", "kernel_id": "74780772"}, {"ref": "hanzeruiooo/using-vgg-for-fake-scene-classification", "kernel_id": "74731976"}, {"ref": "baptistebellocq/fake-scene-classification-w-noise-blur-features", "kernel_id": "74406599"}, {"ref": "manosakthit/fake-scene-classification-submission", "kernel_id": "75181205"}, {"ref": "quentinducoulombier/regnet-classification-score-099949", "kernel_id": "75073355"}, {"ref": "likeabubble/separable-conv-low-weight-95-test", "kernel_id": "75936398"}, {"ref": "shiva2416/edited-vs-real-images-model", "kernel_id": "75846959"}, {"ref": "killa92/f1-0-98-fake-scence-classification-pytorch", "kernel_id": "79652040"}, {"ref": "abirsaha123456/notebook3f328f21be", "kernel_id": "80735956"}, {"ref": "ayushnishod/best-code", "kernel_id": "80409177"}, {"ref": "hosnyabdullahmohamed/fake-scene-classification", "kernel_id": "81545454"}, {"ref": "akmalyaasir/real-vs-ai-images-detections", "kernel_id": "84630614"}, {"ref": "hananabhan/ai-fake-with-transfer-learning", "kernel_id": "87687653"}]}
{"competition_id": "87329", "kernels": [{"ref": "abdullapathan/prediction-of-store-visitors-with-random-forest", "kernel_id": "68580006"}, {"ref": "abdullapathan/prediction-of-store-visitors-using-lightgbm", "kernel_id": "68579369"}, {"ref": "kentak0928/host-baseline-lightgbm-prediction-store-visitors", "kernel_id": "68542733"}, {"ref": "nkforwork/baseline-mod-duckdb-parquet", "kernel_id": "70553592"}, {"ref": "yunsuxiaozi/posv-yunbase-purgedcv-vs-cv", "kernel_id": "73187992"}, {"ref": "byungilan/prediction-using-rnn", "kernel_id": "73083263"}, {"ref": "byungilan/prediction-using-xgboost", "kernel_id": "73370710"}]}
{"competition_id": "87331", "kernels": [{"ref": "samvelkoch/mscc-sounds-specs-dataset-preparation", "kernel_id": "68895152"}, {"ref": "samvelkoch/mscc-heuristics-extraction", "kernel_id": "68940006"}, {"ref": "samvelkoch/mscc-eda-interactions-pdp-anomalies", "kernel_id": "68699787"}, {"ref": "jeevahimanshukaushik/eda-and-prediction-starter", "kernel_id": "68546365"}, {"ref": "jeevahimanshukaushik/ensemble-starter", "kernel_id": "68844649"}, {"ref": "samvelkoch/mscc-hear-embeddings-kitchen", "kernel_id": "69137844"}, {"ref": "nguyncaoduy/comp562", "kernel_id": "80162470"}, {"ref": "ilovealice/comp562-final", "kernel_id": "81484475"}, {"ref": "ilovealice/comp562", "kernel_id": "81489601"}]}
{"competition_id": "87343", "kernels": []}
{"competition_id": "87367", "kernels": []}
{"competition_id": "87389", "kernels": []}
{"competition_id": "87392", "kernels": [{"ref": "aisuko/challenge-2-intermediate-level", "kernel_id": "68771043"}, {"ref": "aisuko/challenge-3-advanced-level", "kernel_id": "68771864"}, {"ref": "aisuko/challenge-1-foundational-level", "kernel_id": "68768783"}, {"ref": "aisuko/challenge-4-bonus", "kernel_id": "69185557"}, {"ref": "ceriknguyen/sgs-dahp-challenge-1-submission", "kernel_id": "69925268"}, {"ref": "dpsdevs/melbourne-aithon-challenge-3-submission", "kernel_id": "69487162"}, {"ref": "dpsdevs/notebook73025d9a25", "kernel_id": "69987961"}, {"ref": "dpsdevs/melbourne-aithon-challenge-1-submission", "kernel_id": "69994244"}, {"ref": "kimnguyenngoc/melbourne-deadline-haters-challenge-1-submission", "kernel_id": "69999083"}, {"ref": "nithyaniranjanin/melbourne-aithon-challenge-4-submission", "kernel_id": "70149891"}, {"ref": "leonjayakusuma/melbourne-petkulleon-challenge-2-submission", "kernel_id": "70145201"}, {"ref": "leonjayakusuma/melbourne-petkulleon-challenge-1-submission", "kernel_id": "70147843"}, {"ref": "trnnhnkhnh/sgs-3c1q-challenge-2-submission", "kernel_id": "70158712"}, {"ref": "trnnhnkhnh/sgs-3c1q-challenge-1-submission", "kernel_id": "70113864"}, {"ref": "trnnhnkhnh/sgs-3c1q-challenge-4-submission", "kernel_id": "70149181"}, {"ref": "trunglephamhoang/sgs-uscyber-challenge-3-submission", "kernel_id": "70140257"}, {"ref": "tranhoangquan/sgs-uscyber-challenge-2-submission", "kernel_id": "70096024"}, {"ref": "pewqter/melbourne-petkulleon-challenge-3-submission", "kernel_id": "70137944"}, {"ref": "pewqter/melbourne-petkulleon-challenge-4-submission", "kernel_id": "70148023"}, {"ref": "huhuhaha1/sgs-fintechbois-challenge-2-submission", "kernel_id": "70078392"}, {"ref": "botrnnguyngia/sgs-3c1q-challenge-3-submission", "kernel_id": "70158484"}, {"ref": "vantanle71/sgs-uscyber-challenge-1-submission", "kernel_id": "70081563"}, {"ref": "vantanle71/sgs-uscyber-challenge-4-submission", "kernel_id": "70150469"}, {"ref": "lol221/sgs-dahp-challenge-2-submission", "kernel_id": "70076155"}, {"ref": "phuchaai/saigonsouth-simptech-challenge-1-submission", "kernel_id": "70148851"}, {"ref": "phuchaai/saigonsouth-simptech-challenge-2-submission", "kernel_id": "70148464"}, {"ref": "ncminhhiu/hanoi-cyberguardians-challenge-2-submission", "kernel_id": "70136034"}, {"ref": "ncminhhiu/hanoi-cyberguardians-challenge-3-submission", "kernel_id": "70075810"}, {"ref": "buiquangdat1710/hanoi-vilo2da-challenge-1-submission", "kernel_id": "70160318"}, {"ref": "dinhdat/hanoi-cyberguardians-challenge-4-submission", "kernel_id": "70155491"}, {"ref": "dinhchan/hanoi-cyberguardians-challenge-1-submission", "kernel_id": "70158607"}, {"ref": "ceriknguyen/sgs-dahp-challenge-4-submission", "kernel_id": "70161360"}, {"ref": "vinhat221/hanoi-vilo2da-challenge-2-submission", "kernel_id": "70159350"}, {"ref": "vinhat221/hanoi-vilo2da-challenge-3-submission", "kernel_id": "70160750"}, {"ref": "pnminh95/sgs-fintechbois-challenge-4-submission", "kernel_id": "70145868"}, {"ref": "pnminh95/sgs-fintechbois-challenge-1-submission", "kernel_id": "70069062"}, {"ref": "pnminh95/sgs-fintechbois-presentation-submission", "kernel_id": "70215149"}, {"ref": "huymusic/sgs-tthh-challenge-1-submission", "kernel_id": "70078183"}, {"ref": "alainevo/sgs-dahp-challenge-3-submission", "kernel_id": "70161686"}, {"ref": "adweaw/hanoi-zsentinels-challenge-2-submission", "kernel_id": "70109629"}, {"ref": "adweaw/hanoi-zsentinels-challenge-4-submission", "kernel_id": "70152534"}, {"ref": "an2862005/hanoi-cyberphalanx-challenge-4-submission", "kernel_id": "70161120"}, {"ref": "hungletuan/hanoi-rmit-lth-group-challenge-1", "kernel_id": "70034196"}, {"ref": "hungletuan/hn-lth-team-challenge-3-submission", "kernel_id": "70158699"}, {"ref": "hungletuan/hanoi-lth-challenge-4-submission", "kernel_id": "70160816"}, {"ref": "rmuet24/hanoi-rmuet-challenge-2-submission", "kernel_id": "70152988"}, {"ref": "rmuet24/hanoi-rmuet-challenge-3-submission", "kernel_id": "70140760"}, {"ref": "rmuet24/hanoi-rmuet-challenge-4-submission", "kernel_id": "70162127"}, {"ref": "rmuet24/hanoi-rmuet-challenge-1-submission", "kernel_id": "70029964"}, {"ref": "vominhtri/hanoi-cyberphalanx-challenge-1-submission", "kernel_id": "70034604"}, {"ref": "vominhtri/hanoi-cyberphalanx-challenge-2-submission", "kernel_id": "70157345"}, {"ref": "vominhtri/hanoi-cyberphalanx-challenge-3-submission", "kernel_id": "70152973"}, {"ref": "vietdosy/hanoi-vd-t-challenge-2-submission", "kernel_id": "70073637"}, {"ref": "vietdosy/hanoi-vd-t-challenge-1-submission", "kernel_id": "70034263"}, {"ref": "natchanonlaoharawee/melbourne-teamfean-challenge-1-submission", "kernel_id": "70061132"}, {"ref": "natchanonlaoharawee/ssdafsdfasdf", "kernel_id": "70061708"}, {"ref": "natchanonlaoharawee/melbourne-teamfean-challenge-2-submission", "kernel_id": "70066845"}, {"ref": "dpsdevs/melbourne-aithon-presentation-submission", "kernel_id": "70216687"}, {"ref": "dpsdevs/notebook7f5432ada1", "kernel_id": "70143722"}, {"ref": "dpsdevs/melbourne-aithon-challenge-2-submission", "kernel_id": "70135580"}, {"ref": "kimnguyenngoc/melbourne-deadline-haters-challenge-2-submission", "kernel_id": "70131196"}, {"ref": "kimnguyenngoc/melbourne-deadline-haters-challenge-3-submission", "kernel_id": "70142312"}, {"ref": "kimnguyenngoc/melbourne-deadline-haters-challenge-4-submission", "kernel_id": "70144613"}, {"ref": "trucnguyendoantrung/sgs-tthh-challenge-2-submission", "kernel_id": "70154395"}, {"ref": "trucnguyendoantrung/sgs-tthh-challenge-3-submission", "kernel_id": "70084115"}, {"ref": "joshuasyx/melbourne-teamcube3-challenge-2-submission", "kernel_id": "70143959"}, {"ref": "joshuasyx/melbourne-teamcube3-challenge-1-submission", "kernel_id": "70133802"}, {"ref": "falahrasyidi/melbourne-teamfean-challenge-4-submission", "kernel_id": "70153279"}, {"ref": "devsirose/sgs-cn2k-challenge-1-submission", "kernel_id": "70106736"}, {"ref": "devsirose/sgs-cn2k-challenge-2-submission", "kernel_id": "70157872"}, {"ref": "devsirose/sgs-cn2k-challenge-3-submission", "kernel_id": "70156002"}, {"ref": "datnguyenduyptit/hanoi-vilo2da-challenge-4-submission", "kernel_id": "70157507"}, {"ref": "engtiongong/melbourne-teamfean-challenge-3-submission", "kernel_id": "70063291"}, {"ref": "tadireal/melbourne-digirust-challenge-2-submission", "kernel_id": "70139475"}, {"ref": "tadireal/melbourne-digirust-challenge-1-submission", "kernel_id": "70138884"}, {"ref": "tadireal/melbourne-digirust-challenge-3-submission", "kernel_id": "70142656"}, {"ref": "danhtm/hanoi-zsentinels-challenge-1-submission", "kernel_id": "70087500"}, {"ref": "danhtm/hanoi-zsentinels-challenge-3-submission", "kernel_id": "70150372"}, {"ref": "dungnguyenngoc2108/hanoi-lth-challenge-2-submission", "kernel_id": "70141932"}, {"ref": "minhhoangnguyennhat/sgs-fintechbois-challenge-3-submission", "kernel_id": "70154659"}, {"ref": "callmeqan/sgs-binh-duong-challenge-2-submission", "kernel_id": "70143455"}, {"ref": "callmeqan/sgs-binh-duong-challenge-1-submission", "kernel_id": "70142236"}, {"ref": "joellepeiyingtan/melbourne-teamcube3-challenge-3-submission", "kernel_id": "70144381"}, {"ref": "aknguyenrmit/sgs-teamidk-challenge-1-submission", "kernel_id": "70148007"}, {"ref": "dhirajjagtap30/network-vulnerability", "kernel_id": "86772952"}]}
{"competition_id": "87397", "kernels": [{"ref": "koraghav/s2-train-py", "kernel_id": "71805782"}, {"ref": "arstarstsatyam/s3-train", "kernel_id": "71943417"}]}
{"competition_id": "87401", "kernels": []}
{"competition_id": "87440", "kernels": []}
{"competition_id": "87442", "kernels": []}
{"competition_id": "87443", "kernels": []}
{"competition_id": "87445", "kernels": []}
{"competition_id": "87493", "kernels": []}
{"competition_id": "87494", "kernels": [{"ref": "ankit02yadav/randomforestregressor-0-9984", "kernel_id": "92523378"}]}
{"competition_id": "87502", "kernels": []}
{"competition_id": "87509", "kernels": []}
{"competition_id": "87510", "kernels": [{"ref": "miraclesmith/practice-upload", "kernel_id": "69273910"}]}
{"competition_id": "87514", "kernels": []}
{"competition_id": "87515", "kernels": []}
{"competition_id": "87524", "kernels": []}
{"competition_id": "87536", "kernels": [{"ref": "alirezasm/baseline-notebook", "kernel_id": "69112182"}]}
{"competition_id": "87599", "kernels": [{"ref": "ashishvxii/techninjas-telecom-churn-prediction", "kernel_id": "70392709"}]}
{"competition_id": "87635", "kernels": [{"ref": "ashikshahriar/cirrhosis-detection", "kernel_id": "74618239"}]}
{"competition_id": "87642", "kernels": []}
{"competition_id": "87649", "kernels": [{"ref": "granthovey/notebook5962f0b361", "kernel_id": "72773643"}]}
{"competition_id": "87654", "kernels": []}
{"competition_id": "87657", "kernels": []}
{"competition_id": "87690", "kernels": []}
{"competition_id": "87692", "kernels": [{"ref": "bryanalhilalsiregar/basic-eda-for-the-data", "kernel_id": "69421189"}, {"ref": "bryanalhilalsiregar/basic-tree-model", "kernel_id": "69567554"}]}
{"competition_id": "87695", "kernels": [{"ref": "mordergg/solution", "kernel_id": "69665543"}, {"ref": "asur112/linear-regression-flat-prices", "kernel_id": "70676872"}]}
{"competition_id": "87708", "kernels": []}
{"competition_id": "87723", "kernels": []}
{"competition_id": "87726", "kernels": []}
{"competition_id": "87762", "kernels": []}
{"competition_id": "87765", "kernels": []}
{"competition_id": "87774", "kernels": []}
{"competition_id": "87776", "kernels": []}
{"competition_id": "87793", "kernels": [{"ref": "sathvikshivam/notebook93d30b395b", "kernel_id": "74186406"}, {"ref": "dalloliogm/computing-embeddings-using-helix-mrna", "kernel_id": "77618883"}, {"ref": "dalloliogm/ribonanzanet-3d-helix-mrna-embedding", "kernel_id": "77890139"}, {"ref": "dalloliogm/predicting-dot-bracket-structure-for-input-data", "kernel_id": "77943027"}, {"ref": "dalloliogm/eda-of-sequence-files", "kernel_id": "77943856"}, {"ref": "ogurtsov/rhofold-ribonanzanet-msas-lb-0-215", "kernel_id": "77887279"}, {"ref": "kumarandatascientist/lb-0-179-rna-3d-lr-adjusted", "kernel_id": "77672040"}, {"ref": "docxian/stanford-rna-3d-folding-visualizations", "kernel_id": "77552250"}, {"ref": "rostepifanov/ensemble", "kernel_id": "77876902"}, {"ref": "rostepifanov/rna-folding-starter-pytorch", "kernel_id": "77885827"}, {"ref": "igorbashko/tm-score-explanation-for-non-biologists", "kernel_id": "77927842"}, {"ref": "utm529fg/visualization-3d-same-sequence-structure", "kernel_id": "77849637"}, {"ref": "jazivxt/tilt-or-fold", "kernel_id": "77616515"}, {"ref": "stpeteishii/rna-3d-visualize", "kernel_id": "77955572"}, {"ref": "ahsuna123/stanford-3d-rna-struct-pred-eda-rna-theory", "kernel_id": "77598358"}, {"ref": "mpwolke/pyrococcus-furiosus-fireball-eternafold", "kernel_id": "77560191"}, {"ref": "shujun717/ribonanzanet-3d-inference", "kernel_id": "77559166"}, {"ref": "shujun717/ribonanzanet-3d-finetune", "kernel_id": "77492132"}, {"ref": "rmham93/stanford-rna-folding", "kernel_id": "77780184"}, {"ref": "fernandosr85/rna-3d-structure", "kernel_id": "77600187"}, {"ref": "asarvazyan/interactive-3d-sequence-visualization", "kernel_id": "77561048"}, {"ref": "ranamudassarrasool/stanford-rna-3d-folding", "kernel_id": "77602514"}, {"ref": "octaviograu/rhofold-ribonanzanet-lb-0-182", "kernel_id": "77963807"}, {"ref": "jagofc/interactive-3d-plots-of-molecules", "kernel_id": "77556726"}, {"ref": "ralgond/rna-fm-based-prediction", "kernel_id": "77662549"}, {"ref": "salmanahmedtamu/a-simple-gnn-implementation", "kernel_id": "77911322"}, {"ref": "leeheewon01/ribonanzanet-3d-finetune-v2", "kernel_id": "77585499"}, {"ref": "michalinahulak/sequence-feature-extraction", "kernel_id": "77743775"}, {"ref": "pshikk/ribonanzanet-3d-inference-few-more-layers", "kernel_id": "77932756"}, {"ref": "chrisk321/rna-folding-r-eda-submission", "kernel_id": "77689089"}, {"ref": "chrisk321/rna-folding-submission-python", "kernel_id": "77910000"}, {"ref": "sandiledesmondmfazi/stanford-rna-3d-folding-baseline-model", "kernel_id": "77996060"}, {"ref": "christina0626/ribonanzanet-fine-tuned", "kernel_id": "77608780"}, {"ref": "nihalthomas15/stanford-rna-fold", "kernel_id": "77859998"}, {"ref": "jaejohn/rna-3d-folding-evaluation", "kernel_id": "77854651"}, {"ref": "alexflom/notebook5a751999d0", "kernel_id": "77829880"}, {"ref": "abhasm/notebook1edc0ecd76", "kernel_id": "77569493"}, {"ref": "dilrabonu/rna-3d", "kernel_id": "77874981"}, {"ref": "mercynamaemba/stanford-rna-3d-unraveling", "kernel_id": "77886221"}, {"ref": "keyushnisar/stanford-rna-3d-folding-gcn-approach", "kernel_id": "77795485"}, {"ref": "michaelrowen/rna-folding-starter", "kernel_id": "77594546"}, {"ref": "wissalyahia/rna3d-ipynb", "kernel_id": "77832169"}, {"ref": "emangope/rna-stanford", "kernel_id": "77667950"}, {"ref": "barathanaslan/stanford-3d-rna-eda-robust-submission", "kernel_id": "77798797"}, {"ref": "jotiroy28/stanford-rna-3d-folding", "kernel_id": "77890311"}, {"ref": "callummaystone/rgnn-stanford-rna-3d-folding-v0-1", "kernel_id": "77832974"}, {"ref": "olaflundstrom/stanford-rna-3d-folding-competition-notebook", "kernel_id": "77550334"}, {"ref": "olaflundstrom/stanford-rna-3d-folding-kaggle-competition", "kernel_id": "77581173"}, {"ref": "olaflundstrom/stanford-rna-3d-folding-kaggle-competition-dtu", "kernel_id": "77599242"}, {"ref": "matsumotoarcade/lref-dsheet", "kernel_id": "77830538"}, {"ref": "dangriff/rna-fold-sub-1", "kernel_id": "77901199"}, {"ref": "siddharth776/stanford-rna-3d-folding-notebook", "kernel_id": "77665867"}, {"ref": "chestergrant/blank-submission", "kernel_id": "78450342"}, {"ref": "hengck23/draft-rna-3d-minizing-energy-for-fape-basepair", "kernel_id": "78697915"}, {"ref": "hengck23/lb0-321-simple-drfold-no-msa", "kernel_id": "78729290"}, {"ref": "hengck23/simple-drfold-with-energy-scoring-no-msa", "kernel_id": "78921410"}, {"ref": "hengck23/baseline-droupout", "kernel_id": "78234995"}, {"ref": "hengck23/demo-for-rhofold-plus-with-kaggle-msa", "kernel_id": "78572815"}, {"ref": "tilaprimera/eda-analysis-features", "kernel_id": "78341577"}, {"ref": "lyalina/stanford-rna-3d-folding-multioutputregressor", "kernel_id": "78697875"}, {"ref": "xlychee/notebook7095efb8a3", "kernel_id": "78596790"}, {"ref": "kumarandatascientist/deepseek-via-explore-rna-competition-details", "kernel_id": "78017739"}, {"ref": "kumarandatascientist/lb-0-197-treesfolding-r-eda-submission", "kernel_id": "78088762"}, {"ref": "kumarandatascientist/lb-0-256-rna-3d-structure", "kernel_id": "78800851"}, {"ref": "kumarandatascientist/lb-220-rhofold-ribonanzanet-msas", "kernel_id": "78668902"}, {"ref": "youhanlee/boltz-1-inference-submission", "kernel_id": "78020140"}, {"ref": "rostepifanov/ribonanzanet-3d-finetune-with-pytorch-lightning", "kernel_id": "78098929"}, {"ref": "igorbashko/finetuning-ribonanzanet-from-multimolecule", "kernel_id": "78795789"}, {"ref": "nivgeron/eda-on-rna-by-an-ai-agent", "kernel_id": "78380545"}, {"ref": "yoshifumimiya/3d-rna-pymsaviz", "kernel_id": "78580111"}, {"ref": "shaileshshettyd/rna-rrr", "kernel_id": "78836394"}, {"ref": "emezac/minifold", "kernel_id": "78348673"}, {"ref": "alejopaullier/stanford-rna-3d-ribonanzanet-explained", "kernel_id": "78439169"}, {"ref": "shujun717/ribonanzanet-3d-finetune-add-structure-module", "kernel_id": "78853514"}, {"ref": "shujun717/ribonanzanet-3d-inference-add-structure-module", "kernel_id": "78864948"}, {"ref": "tomooinubushi/lb-probing-for-sr3f", "kernel_id": "78793983"}, {"ref": "tomooinubushi/convert-stanford-ribonanza-rna-folding-dataset", "kernel_id": "78484155"}, {"ref": "tomooinubushi/convert-uw-synthetic-dataset", "kernel_id": "78351800"}, {"ref": "adsamardeep/rna-v2-eda-cnn-bilstm", "kernel_id": "78020917"}, {"ref": "hiroshisakiyama/eda-local-structure-of-rna", "kernel_id": "78439542"}, {"ref": "hiroshisakiyama/finding-torsion-angles-from-the-distribution", "kernel_id": "78582149"}, {"ref": "marvinko99/rna-folding-tranformermodel", "kernel_id": "78199169"}, {"ref": "camillecampbell/notebook416ed9ae71", "kernel_id": "78848440"}, {"ref": "octaviograu/rna-folding-r-eda-submission", "kernel_id": "78031315"}, {"ref": "sathvikshivam/ribonanzanet-3d-finetune", "kernel_id": "78154387"}, {"ref": "dnyaneshwalwadkar/training-eda-3d-visualisation", "kernel_id": "78533205"}, {"ref": "sacuscreed/xyz-to-bat-and-back", "kernel_id": "78544244"}, {"ref": "handudu/rna-folding-python-eda-submission", "kernel_id": "78016514"}, {"ref": "makyriacou/rna-folding-prt1", "kernel_id": "78805728"}, {"ref": "manasvijaipurkar/from-sequence-to-structure-rna-3d-folding-eda", "kernel_id": "78172157"}, {"ref": "oliviergu/eda-1-graphiques-interactifs", "kernel_id": "78340654"}, {"ref": "bakuer30/rna-h20-xgboost", "kernel_id": "78393709"}, {"ref": "dantheshark/rna-3d-folding", "kernel_id": "78142344"}, {"ref": "dantheshark/rna-3d-folding-understand-the-data", "kernel_id": "78199238"}, {"ref": "dantheshark/rna-3d-folding-understand-data", "kernel_id": "78199249"}, {"ref": "dantheshark/ribonanzanet-3d-finetune-learning", "kernel_id": "78464164"}, {"ref": "dantheshark/stanford-rna-3d-folding-competition-notebook", "kernel_id": "78911514"}, {"ref": "syednazmussakib/starting", "kernel_id": "78700427"}, {"ref": "sandiledesmondmfazi/ribonanza-enhanced-rna-structure-prediction", "kernel_id": "78581747"}, {"ref": "junhanzangai/0-154-inference-msa", "kernel_id": "78568668"}, {"ref": "junhanzangai/train-msa", "kernel_id": "78567317"}, {"ref": "jaejohn/rna-3d-folding-template-based-0-321", "kernel_id": "78030498"}, {"ref": "nikita7364777/rna3d-bidirectional-lstm-model", "kernel_id": "78428801"}, {"ref": "doheon114/public-file-protenix", "kernel_id": "78674727"}, {"ref": "younusmohamed/52-01-complete-eda", "kernel_id": "78494274"}, {"ref": "dolbokostya/more-iterations-rib-lb-0-216", "kernel_id": "78628536"}, {"ref": "dolbokostya/lb-0-205-xgb-r", "kernel_id": "78451750"}, {"ref": "dolbokostya/lb-0-261-rna-3d-noise-changed", "kernel_id": "78821887"}, {"ref": "kostasanthoulis/stanford-rna-3d-folding-torch-template", "kernel_id": "78647944"}, {"ref": "kaiyangluo111/stanford-rna-3d-folding", "kernel_id": "78791334"}, {"ref": "enranfestzhang/ribonanzanet-3d-inference", "kernel_id": "78411419"}, {"ref": "krishnayadav456wrsty/rotein-structure-prediction-challenge", "kernel_id": "78413225"}, {"ref": "tharushikasurasinghe/tharushika-surasinghe", "kernel_id": "78355261"}, {"ref": "anajkrishna/rna-sf", "kernel_id": "78620594"}, {"ref": "martinmartinezm/submission-csv", "kernel_id": "78311507"}, {"ref": "matsumotoarcade/takasystem-byouin-modal", "kernel_id": "78964579"}, {"ref": "matsumotoarcade/nasa-sbre", "kernel_id": "78974241"}, {"ref": "rohanpurohit0705/rna-test2", "kernel_id": "78792828"}, {"ref": "rohanpurohit0705/rna-test1", "kernel_id": "78382892"}, {"ref": "shuoliu6/3drnagaicanji", "kernel_id": "78574248"}, {"ref": "enhancedmachinen/rna-3d-noise-changed", "kernel_id": "78840852"}, {"ref": "shosukesuzuki/rhofold-benchmark-for-ensembling-lb-0-171", "kernel_id": "78124862"}, {"ref": "skrmotac/cnn-five-folder", "kernel_id": "78209432"}, {"ref": "zhichan/train-for-rna-3d-folding-with-multimolecule", "kernel_id": "78068354"}, {"ref": "liyuehong/notebookaaf61aed9a", "kernel_id": "78612736"}, {"ref": "dalloliogm/clip-approach", "kernel_id": "79052826"}, {"ref": "hengck23/vfold-baseline-offline", "kernel_id": "79006410"}, {"ref": "hengck23/draft-lightweight-tri-attention-for-800-nt-rna", "kernel_id": "79019511"}, {"ref": "ishgirwan/protenix-inference", "kernel_id": "79766655"}, {"ref": "lyalina/stanford-rna-3d-folding-xbgb", "kernel_id": "79118214"}, {"ref": "pastorsoto/rna-3d-folding-dataquest-starter-notebook", "kernel_id": "79639535"}, {"ref": "shujun717/ribonanzanet-3d-inference-left2right", "kernel_id": "79139365"}, {"ref": "tatamikenn/stanford-3d-folding-minimal-eda", "kernel_id": "79427698"}, {"ref": "tatamikenn/estimating-covarying-base-pairs-based-on-msa", "kernel_id": "79490204"}, {"ref": "reyhanemaarefdoust/hmm-features", "kernel_id": "79444469"}, {"ref": "fernandosr85/rna-3d-fold-hybrid-template-nn-structure", "kernel_id": "79058498"}, {"ref": "geraseva/protenix", "kernel_id": "79224558"}, {"ref": "geraseva/chai-1", "kernel_id": "79627968"}, {"ref": "geraseva/rf2na", "kernel_id": "79360952"}, {"ref": "smliu1997/rhofold-need-help-scoring-failed", "kernel_id": "79711073"}, {"ref": "cafelatte1/srna3d-training-conformer", "kernel_id": "79669723"}, {"ref": "cafelatte1/srna3d-dp-a1", "kernel_id": "79667608"}, {"ref": "cafelatte1/srna3d-inference-conformer", "kernel_id": "79753758"}, {"ref": "alrjandrorivasespa/extract-rna-embeddings-rna-fm-knn-search", "kernel_id": "79775178"}, {"ref": "makyriacou/rna-encode-lgb-gbdt", "kernel_id": "79906919"}, {"ref": "lordpatil/xboost-nobrainer", "kernel_id": "79151194"}, {"ref": "amirmmahdavikia/stanford-rna-3d-folding-eda-state-of-the-rna", "kernel_id": "79310213"}, {"ref": "behrouzmirabdi/stanford-rna-3d-folding-exploratory-data-analysis", "kernel_id": "79921656"}, {"ref": "vedantkasargod/sfrna", "kernel_id": "79219048"}, {"ref": "therealarnab/encoder-for-stanford-rna-3d", "kernel_id": "79136602"}, {"ref": "mrpies/ribonanzanet3d-transformer-architecture", "kernel_id": "79178986"}, {"ref": "stemosamaghandour/stanford-rna-3d-foldingby-stemer-osama-g-geris", "kernel_id": "79246208"}, {"ref": "rubendarioortiz/ribonanzanet-3d-inference", "kernel_id": "79467509"}, {"ref": "jennyng59/rna25-rna-3d-lr-adjusted-plddt", "kernel_id": "79657218"}, {"ref": "navaneeth2108/stanford-rna-3d-folding", "kernel_id": "79261323"}, {"ref": "rakotondrasoaherison/stanford-rna-3d-pliage-dolobe", "kernel_id": "79422939"}, {"ref": "abdulrhmansalama/enhanced-rna-structure-prediction-model", "kernel_id": "79363527"}, {"ref": "greenflazh/demo-for-rhofold-plus-with-kaggle-msa", "kernel_id": "79948467"}, {"ref": "theonetheonly/notebookeb2c5a8777", "kernel_id": "79309635"}, {"ref": "hcmuser/fpt-qwen", "kernel_id": "79631290"}, {"ref": "nanacat0520/stanfordrna-train-test-have-identical-sequence", "kernel_id": "79111288"}, {"ref": "kerta27/standfordrna-ribonanzanet-3d-train", "kernel_id": "79253182"}, {"ref": "kerta27/standfordrna-data-extraction", "kernel_id": "79021091"}, {"ref": "rohanpurohit0705/rna-folding-model", "kernel_id": "79669804"}, {"ref": "mucunshuo/notebooka07a76ecce", "kernel_id": "79286460"}, {"ref": "younessmobssite25/notebook-stadord-rna-3d-folding-ym", "kernel_id": "79370790"}, {"ref": "dalloliogm/ribodiffusion", "kernel_id": "80792347"}, {"ref": "narareddy/rna-secondary-tertiary-structures", "kernel_id": "80461765"}, {"ref": "kumarandatascientist/lb-0-335-protenix-inference", "kernel_id": "80217292"}, {"ref": "arpit96/rnasequencefeatures-xgboost", "kernel_id": "80625113"}, {"ref": "tobimichigan/rna-3d-structure-prediction-backup", "kernel_id": "80977987"}, {"ref": "tobimichigan/rna-3d-structure-prediction-pipeline-algorithm", "kernel_id": "80982803"}, {"ref": "dedquoc/rna-3d-evaluation-submission", "kernel_id": "80278014"}, {"ref": "shujun717/ribonanzanet2-ddpm-inference", "kernel_id": "80166732"}, {"ref": "shujun717/ribonanzanet2-ddpm-training", "kernel_id": "80171797"}, {"ref": "rohitdileep/optuna-random-forest", "kernel_id": "80961981"}, {"ref": "rohitdileep/optuna-lightgbm", "kernel_id": "80732972"}, {"ref": "rohitdileep/tf-neuralnets", "kernel_id": "80524800"}, {"ref": "fernandosr85/rna-3d-prediction-via-hybrid-remc-sampling", "kernel_id": "80312365"}, {"ref": "fernandosr85/rna-3d-structure-prediction-pipeline-graph-based", "kernel_id": "80512472"}, {"ref": "geraseva/rosettafoldaa", "kernel_id": "80581387"}, {"ref": "farisalahmdi/faris-starter", "kernel_id": "80426902"}, {"ref": "lordpatil/ensemble-protenix-drfold-ribonanzanet", "kernel_id": "80713799"}, {"ref": "behrouzmirabdi/rna-structural-analysis", "kernel_id": "80513787"}, {"ref": "adamlogman/randomness", "kernel_id": "80419563"}, {"ref": "alirazi1992/stanford-rna-3d-folding", "kernel_id": "80838568"}, {"ref": "alirazi1992/fork-of-stanford-rna-3d-folding", "kernel_id": "80909269"}, {"ref": "gabrielchegemwihaki/rna-3d-fold-hybrid-template-nn-structure", "kernel_id": "80237017"}, {"ref": "ramazanturann/rna-3d-plotting", "kernel_id": "80622970"}, {"ref": "gyuseok2/stanfrod-rna-3d-folding-eda-baseline", "kernel_id": "80205066"}, {"ref": "koushikkumardinda/stanford-rna-3d-folding", "kernel_id": "80963660"}, {"ref": "abhishekkanade8673/notebook4a59e17671", "kernel_id": "80289779"}, {"ref": "abhishekkanade8673/notebook98b8acc00b", "kernel_id": "80267367"}, {"ref": "anmolsodhi/protenix-a33c4f", "kernel_id": "80810058"}, {"ref": "andreaslutz/rna-3d-structure-prediction", "kernel_id": "80207437"}, {"ref": "sofiyarachkevych/rna-folding-finding-easter-eggs", "kernel_id": "80497311"}, {"ref": "nanacat0520/stanfordrna-submission-visualizer-gnn", "kernel_id": "80695317"}, {"ref": "nanacat0520/stanfordrna-submission-visualizer-rho-ribonanza", "kernel_id": "80696136"}, {"ref": "nanacat0520/stanfordrna-submission-visualizer-protenix", "kernel_id": "80698628"}, {"ref": "seokhyeonkwon/rna-baseline", "kernel_id": "80392687"}, {"ref": "kerta27/standfordrna-protenix", "kernel_id": "80695745"}, {"ref": "jatantandon1/ribonanza-vala-code", "kernel_id": "80241551"}, {"ref": "pauling/eda-stats-distances-and-angles-nb2", "kernel_id": "81943056"}, {"ref": "pauling/eda-stats-nb1", "kernel_id": "81767586"}, {"ref": "zoushuxian/finetuned-protenix-with-rnalm", "kernel_id": "81380804"}, {"ref": "jaytonde/visualizing-the-model-predictions", "kernel_id": "81640001"}, {"ref": "yukyeechan/stanford-rna-3d-folding-hybrid-nn", "kernel_id": "81300797"}, {"ref": "nehadas55/predicting-3d-rna", "kernel_id": "81333351"}, {"ref": "mohinurabdurahimova/stanford-rna-3d-folding-eda", "kernel_id": "81580043"}, {"ref": "achirality/rhofold-ribosanet-ensemble-advanced", "kernel_id": "81735551"}, {"ref": "tavleenbhatia/bst236-augmentin-notebook", "kernel_id": "81329719"}, {"ref": "werus23/fork-of-protenix", "kernel_id": "81881605"}, {"ref": "krishd123/rna-3d-folding-baseline-lb-0-23", "kernel_id": "81799531"}, {"ref": "nyokmawut/eda-analysis-rna", "kernel_id": "81576792"}, {"ref": "shivanshvoid/stanford-rna-3d-folding-using-deep-learning", "kernel_id": "81590930"}, {"ref": "suhrudpanchawagh/eda-train", "kernel_id": "81523962"}, {"ref": "suhrudpanchawagh/visualize-structures-train", "kernel_id": "81441947"}, {"ref": "onya31/stanford-rna-3d-folding-japanese-eda-tutorial", "kernel_id": "81694085"}, {"ref": "anandhivasudevan/rna-3d-folding", "kernel_id": "81901083"}, {"ref": "sheemamasood/training-eda-3d-visualisation", "kernel_id": "81999416"}, {"ref": "santhankarnala/stanford-1", "kernel_id": "81066969"}, {"ref": "shreyasraghav/modified-dataset-with-parquet-files", "kernel_id": "81181206"}, {"ref": "umedatomoki/nufold-002", "kernel_id": "81329947"}, {"ref": "z1493916656/deterministic-protenix", "kernel_id": "81641579"}, {"ref": "nikitamanaenkov/rna-3d-folding-h2oxgboost", "kernel_id": "81385961"}, {"ref": "harshpatil74378723/neuroholoq-rna-a-quantum-conscious-holographic-en", "kernel_id": "81346751"}, {"ref": "jogeonuk/ribonanzanet", "kernel_id": "81955832"}, {"ref": "sefanyayemimasinaga/notebook2963f261d5", "kernel_id": "81495522"}, {"ref": "reshmachandran26/stanford-xgbooster", "kernel_id": "81964199"}, {"ref": "trjanhrsehtxmustang/train-model-rna", "kernel_id": "81213032"}, {"ref": "nanacat0520/extract-embeddings-from-rhofold-for-ensemble", "kernel_id": "81380776"}, {"ref": "wdaisy1/rnagroupproject", "kernel_id": "81245407"}, {"ref": "christie/compute-embeddings-using-helix-mrna-working-ver", "kernel_id": "82083358"}, {"ref": "pauling/rna-generation-dummy-model-3d-vis", "kernel_id": "82058269"}, {"ref": "yerne39/rna-folding-trrosetta", "kernel_id": "82041169"}, {"ref": "rhijudas/mmseqs2-3d-rna-template-identification", "kernel_id": "82651032"}, {"ref": "zzoming/nufold-inference", "kernel_id": "82000595"}, {"ref": "ziechan/rna-3d-structure-with-llm-qwen3-1-7b", "kernel_id": "82854298"}, {"ref": "mr0106/foldnet3d", "kernel_id": "82646550"}, {"ref": "conclf/drfold2-running", "kernel_id": "82380893"}, {"ref": "yunzheqian/naive-rna3d", "kernel_id": "82787298"}, {"ref": "phucqvu/notebook9ea0fbd623", "kernel_id": "82977414"}, {"ref": "shadesh/prediction-with-ml-and-visual-eda", "kernel_id": "82312506"}, {"ref": "unique1688/trrosettarna-protenix-79c75d", "kernel_id": "82221443"}, {"ref": "dreldirdirifadol/rna-3d-structure-prediction-dataset", "kernel_id": "82817214"}, {"ref": "suhrudpanchawagh/convert-extracted-features-to-tensors", "kernel_id": "82325100"}, {"ref": "suhrudpanchawagh/feature-extraction-global", "kernel_id": "82288438"}, {"ref": "suhrudpanchawagh/feature-extraction-2d", "kernel_id": "82252304"}, {"ref": "suhrudpanchawagh/feature-extraction-1d", "kernel_id": "82099353"}, {"ref": "michael1o2/rna-folding", "kernel_id": "82799495"}, {"ref": "ramazanturann/randomness", "kernel_id": "82819220"}, {"ref": "krutarthkayparmar/rnet-v3-0-3-d-stalled-failed", "kernel_id": "82302233"}, {"ref": "champl/copy-of-demo-for-rhofold-plus-with-kaggle-msa", "kernel_id": "82389713"}, {"ref": "arafat1746/3d-rna-structure-prediction-using-fine-tuned-ribon", "kernel_id": "82472010"}, {"ref": "samasiayushman/ultimate-guide-step-visualization-statistics", "kernel_id": "82463247"}, {"ref": "z1493916656/simple-drfold-with-energy-scoring-no-msa", "kernel_id": "82167209"}, {"ref": "z1493916656/trrosettarna-protenix-2e211d", "kernel_id": "82216352"}, {"ref": "z1493916656/drfold2-runnable", "kernel_id": "82875230"}, {"ref": "tant64/model5-r1107", "kernel_id": "82115909"}, {"ref": "tant64/trrosettarna-protenix-5d1cb4", "kernel_id": "82230331"}, {"ref": "tant64/right-t-version", "kernel_id": "82175115"}, {"ref": "hwkims/notebook00d252766e", "kernel_id": "82463792"}, {"ref": "ishitabahamnia/rna-3d-gnn-starter", "kernel_id": "82889674"}, {"ref": "sofiyarachkevych/stanford-rna-3d-folding-tensorflow", "kernel_id": "82698471"}, {"ref": "sofiahunt/nufold-inference-with-script", "kernel_id": "82705639"}, {"ref": "biniroun/randadomness", "kernel_id": "82537787"}, {"ref": "escfleury/notebookd67f00d52e", "kernel_id": "82744000"}, {"ref": "escfleury/offline", "kernel_id": "82754391"}, {"ref": "ishgirwan/tm-score-summary", "kernel_id": "83018292"}, {"ref": "ravikshdikola/dummy-submission", "kernel_id": "83282873"}, {"ref": "lauvfpitipak/randomness", "kernel_id": "83536365"}, {"ref": "lauvfpitipak/randomness-v-2-0", "kernel_id": "83536403"}, {"ref": "christian81jones/rna-3d-folds", "kernel_id": "83009234"}, {"ref": "gowrishankarp/simrna-coarse-grained-rna-folding-simulation", "kernel_id": "83112248"}, {"ref": "yekim102/fin-pro-all-1-rna-2-base1-boltz1", "kernel_id": "83703930"}, {"ref": "yekim102/drfold4-pro-msa-pro-msa-base-rna", "kernel_id": "83781288"}, {"ref": "siddhantoon/ribonanzanet-2-0-ddpm-explained", "kernel_id": "83187554"}, {"ref": "shinnosukemizuno/proteinix-inference-and-hooking", "kernel_id": "83085509"}, {"ref": "sacuscreed/top-2-models-from-boltz-and-protenix", "kernel_id": "83805368"}, {"ref": "amirmmahdavikia/nufold-inference", "kernel_id": "83147802"}, {"ref": "amirmmahdavikia/trrosettarna-inference", "kernel_id": "83171974"}, {"ref": "endofnight17j03/stanford-rna-3d-folding-competition", "kernel_id": "83352313"}, {"ref": "conclf/submission-notebook", "kernel_id": "83941641"}, {"ref": "yunzheqian/rosettarna", "kernel_id": "83052636"}, {"ref": "shimminkyoung/saibio-code", "kernel_id": "83146544"}, {"ref": "jaejohn/sub-1-4-4-hybrid-final-take", "kernel_id": "83942966"}, {"ref": "jaejohn/sub-2-hybrid-single-model", "kernel_id": "83948583"}, {"ref": "jaejohn/rna-3d-folds-tbm-only-approach", "kernel_id": "83799946"}, {"ref": "jaejohn/export-merge-all-data", "kernel_id": "83809505"}, {"ref": "jaejohn/cif-to-csv", "kernel_id": "83760862"}, {"ref": "manadipsutradhar/standfor-rna-3d-folding-version-8", "kernel_id": "83087286"}, {"ref": "cardata/standard-rna-3d-folding-may-25", "kernel_id": "83420660"}, {"ref": "swastiknanda35/unfinetuned-protenix", "kernel_id": "83489602"}, {"ref": "mayarahmawat/notebook7fa91a9c9bb8b6507ae9", "kernel_id": "83450860"}, {"ref": "sofiyarachkevych/stanford-rna-folding-tensorflow-64-val-acc", "kernel_id": "83366798"}, {"ref": "arooransivakarunai/sb3-sactest5", "kernel_id": "83915339"}, {"ref": "pixelmasterhackers/pmhfold-version6-650-epochs", "kernel_id": "83058722"}, {"ref": "nanpolend/standfoldrnagrok364b", "kernel_id": "83142196"}, {"ref": "arnavkapoor23060/3d-rna-structure-prediction-using-fine-tuned-ribon", "kernel_id": "83059412"}, {"ref": "shujun717/rnet3d-ddpm-extra-folding-blocks", "kernel_id": "85640291"}, {"ref": "rhijudas/mmseqs2-3d-rna-template-id-all-atom", "kernel_id": "88107705"}, {"ref": "kabitharma/stanford-rna-3d-folding-competition-submission", "kernel_id": "89017180"}, {"ref": "syedfarazhussaini/ribonanzanet2-ddpm-training", "kernel_id": "91699753"}, {"ref": "odat1248/rna-3d-2025-submit1", "kernel_id": "93896437"}, {"ref": "odat1248/rna-3d-2025-submit2", "kernel_id": "93896912"}, {"ref": "iserekediyerin/pdb-rna-cif", "kernel_id": "93035655"}, {"ref": "daltongabrielomondi/rna-3d-folds-tbm-only-approach", "kernel_id": "93633189"}, {"ref": "zoushuxian/aido-rna-augmented-protenix", "kernel_id": "94116528"}, {"ref": "arunodhayan/tbm-protenix-boltz", "kernel_id": "94246783"}, {"ref": "mdferozahmedafm/rna-structures-stanford-3d-folding-challenge", "kernel_id": "94132140"}, {"ref": "yufzha/boltz-1-inference-submission-703dad", "kernel_id": "95238622"}, {"ref": "atharvwaingade/3d-rna", "kernel_id": "95162607"}, {"ref": "qamarmath/beginner-to-advanced-rna-3d-structure-predicti", "kernel_id": "97703871"}, {"ref": "mvakhil941/rna-structure-prediction-methodology-akhil", "kernel_id": "101406002"}, {"ref": "shujun717/rnet-3d", "kernel_id": "106750102"}, {"ref": "shujun717/rnet2-alpha-template-search-public", "kernel_id": "106119446"}, {"ref": "bachaboos/previous-winner-sub-2-hybrid-single-model", "kernel_id": "106422677"}, {"ref": "romanagle/rna-extended-dataset", "kernel_id": "106693609"}, {"ref": "khaaliswooden/stanford-rna-3d-folding-a-form-baseline", "kernel_id": "106528772"}, {"ref": "yash9439/rna-3d-folding-eda", "kernel_id": "107113201"}, {"ref": "yash9439/rna-3d-folding-sklearnensemble", "kernel_id": "107116044"}, {"ref": "yash9439/rna-3d-folding-heuristics", "kernel_id": "107115397"}, {"ref": "mohamedolwan/notebook84e7d28300", "kernel_id": "107675207"}, {"ref": "giovannyrodrguez/part1-lb-60", "kernel_id": "109569398"}, {"ref": "swastiknanda35/axurecode", "kernel_id": "110213060"}, {"ref": "muneerali199/notebooka53f88c95e", "kernel_id": "110722280"}, {"ref": "jiangxiwu/ribonanzanet-3d-finetune", "kernel_id": "111291459"}, {"ref": "randalllujan/notebookbd4da920a3", "kernel_id": "134020961"}]}
{"competition_id": "87806", "kernels": []}
{"competition_id": "87812", "kernels": []}
{"competition_id": "87815", "kernels": []}
{"competition_id": "87832", "kernels": []}
{"competition_id": "87839", "kernels": [{"ref": "aasirwaseer/rf-xgb-with-advanced-emsemble", "kernel_id": "76834053"}, {"ref": "fawadalishaikh/bank-churn-gboost-catboost", "kernel_id": "76789713"}, {"ref": "fawadalishaikh/bank-churn-prediction-89-accuracy", "kernel_id": "76940449"}, {"ref": "roshan123kumar/binary-classification-with-a-bank-churn-dataset", "kernel_id": "76435902"}, {"ref": "aandreigheorghe/binary-bank-churn", "kernel_id": "79449438"}]}
{"competition_id": "87845", "kernels": [{"ref": "basanishashanka/2103a52005-assessment", "kernel_id": "69590313"}, {"ref": "rasamallakeerthisree/2303a52046-2nd-year-keerthisree", "kernel_id": "69581278"}, {"ref": "mulastampranavi/2203a52l02-m-pranavi-4-year", "kernel_id": "69579045"}]}
{"competition_id": "87851", "kernels": []}
{"competition_id": "87855", "kernels": []}
{"competition_id": "87876", "kernels": []}
{"competition_id": "87900", "kernels": []}
{"competition_id": "87905", "kernels": []}
{"competition_id": "87907", "kernels": []}
{"competition_id": "87910", "kernels": []}
{"competition_id": "87923", "kernels": [{"ref": "andreiniculae/dsm-2024-starting-code", "kernel_id": "69738551"}]}
{"competition_id": "87931", "kernels": []}
{"competition_id": "87934", "kernels": [{"ref": "rasheedj/notebookc591d3dfe9", "kernel_id": "71677749"}]}
{"competition_id": "87943", "kernels": [{"ref": "ioannispan/mcml-24-25-lab2-main", "kernel_id": "72388376"}, {"ref": "christosstamelos/mcml-24-25-lab2-main", "kernel_id": "73953001"}, {"ref": "panagiotisspanakis/ciciot2023-quantized-neural-network", "kernel_id": "74058926"}, {"ref": "ioannisbartsiokas/mcml-25-26-lab2-main", "kernel_id": "104670221"}]}
{"competition_id": "87955", "kernels": [{"ref": "ucas0v0zhuoqunli/time-classification", "kernel_id": "69905264"}, {"ref": "amanalisiddiqui/eeg-eda-sleep", "kernel_id": "77172771"}]}
{"competition_id": "87979", "kernels": [{"ref": "konradb/przyk-ad-dummy-submission", "kernel_id": "69784165"}, {"ref": "renatab1/r-b-test-przyk-ad-dummy-submission", "kernel_id": "69910070"}]}
{"competition_id": "87990", "kernels": []}
{"competition_id": "87997", "kernels": [{"ref": "dalloliogm/eda-using-explore-package-in-r", "kernel_id": "74754247"}, {"ref": "makyriacou/decision-tree-prediction", "kernel_id": "74679973"}, {"ref": "bestwater/v10-of-autogluon-phems-hackathon", "kernel_id": "74767168"}, {"ref": "shreyasraghav/sepsis-labeled-nb", "kernel_id": "74943434"}, {"ref": "brunorobalo/eda-example-host", "kernel_id": "74607193"}, {"ref": "mirzamilanfarabi/phems-flaml-automl-v2-0", "kernel_id": "75480502"}, {"ref": "mirzamilanfarabi/phems-test-datasets-merge", "kernel_id": "75472513"}, {"ref": "mirzamilanfarabi/phems-train-datasets-merge", "kernel_id": "75466701"}, {"ref": "makyriacou/ensemble-learning-lgbm", "kernel_id": "75451475"}, {"ref": "shubhasakal/phems-phoenix", "kernel_id": "75241470"}, {"ref": "madhusudhananaidu/phemsv1", "kernel_id": "75448096"}, {"ref": "madhusudhananaidu/phems2", "kernel_id": "75930274"}, {"ref": "madhusudhananaidu/fork-of-phems", "kernel_id": "75945417"}, {"ref": "husnashamlik/sepsis-detection-optuna-crossval-0-9983", "kernel_id": "75913834"}, {"ref": "husnashamlik/phems-hackathon-optuna-auc-0-9933", "kernel_id": "75934953"}, {"ref": "husnashamlik/phems-hackathon-eda-optuna-6h-ahead-prediction", "kernel_id": "75935211"}, {"ref": "husnashamlik/sepsis-detection-smote-auc-0-993", "kernel_id": "75814119"}, {"ref": "mr0106/phems-hackathon-p-s-p", "kernel_id": "75826600"}, {"ref": "farukaydn/phems-eda-analysis", "kernel_id": "75503313"}, {"ref": "yunsuxiaozi/phems-yunbase", "kernel_id": "75000027"}, {"ref": "jjleesunny/phems-main-boosting", "kernel_id": "75054636"}, {"ref": "jjleesunny/phems-multi-testing-cv", "kernel_id": "75903739"}, {"ref": "smokeyscraper/lgbmc-optuna-stratgroupkfold-customthreshold", "kernel_id": "75735063"}, {"ref": "shahzaibmalik44/load-dataset-ed", "kernel_id": "75020308"}, {"ref": "lolotica116996/phems-boosting-feature-1", "kernel_id": "75408162"}, {"ref": "lolotica116996/phems-boosting-feature-2", "kernel_id": "75863266"}, {"ref": "lolotica116996/phems-boosting-feature-3", "kernel_id": "75864932"}, {"ref": "misterfour/phems-hackathon-submission", "kernel_id": "75264826"}, {"ref": "monkmode1/hackathone-2", "kernel_id": "75814340"}, {"ref": "anacpricciardi/prediction-pedsepse-lightgbm", "kernel_id": "75082019"}, {"ref": "anacpricciardi/devices-eda", "kernel_id": "75016068"}, {"ref": "xiaoling98899/phems-original-explore", "kernel_id": "75039649"}, {"ref": "anatanat/phems", "kernel_id": "75003719"}, {"ref": "zipzipzip/final-phems-solution", "kernel_id": "76170383"}, {"ref": "xiaoling98899/phems-yunbase-add-xgb", "kernel_id": "76033116"}, {"ref": "aminemontasir/sepsis-detection-ensemble-model", "kernel_id": "76862864"}, {"ref": "aminemontasir/sepsis-final-sub", "kernel_id": "76313092"}, {"ref": "overvalueawareness/pediatric-sepsis-prediction-2025", "kernel_id": "76270425"}, {"ref": "daltongabrielomondi/phems-yunbase", "kernel_id": "90889539"}, {"ref": "misterfour/phems-hackathon-training", "kernel_id": "90871069"}, {"ref": "karanpadariya/sepsis-final-sub", "kernel_id": "91258965"}, {"ref": "qamarmath/early-sepsis-detection-model", "kernel_id": "102657988"}, {"ref": "overvalueawareness/phems-just-test-it", "kernel_id": "117361336"}, {"ref": "overvalueawareness/pediatric-sepsis-prediction-baseline-demo", "kernel_id": "117472205"}, {"ref": "xianzhou111/phems-lgbm-xgboost-catboost", "kernel_id": "120354374"}, {"ref": "popdeb/phems-sepsis", "kernel_id": "133663780"}]}
{"competition_id": "88016", "kernels": []}
{"competition_id": "88017", "kernels": []}
{"competition_id": "88022", "kernels": [{"ref": "interests/check-item-ids", "kernel_id": "71527697"}, {"ref": "vyacheslavshen/starter-code-catboost-baseline", "kernel_id": "72227489"}, {"ref": "aletbm/top4-retail-demand-forecast-mlzc-compet-24", "kernel_id": "72005431"}, {"ref": "ortegaa32/retail-demand-forecasting", "kernel_id": "72053629"}, {"ref": "alperugurca/ml-zoomcamp-2024-competition", "kernel_id": "75021893"}, {"ref": "kabirolawalemohammed/6th-place-solution", "kernel_id": "76780638"}, {"ref": "arturgrygorian/automl-top-score", "kernel_id": "76303399"}, {"ref": "edisonmarcelo/ml-zoomcamp-2024-competition-solution", "kernel_id": "78708783"}, {"ref": "phunghan/randomforest", "kernel_id": "82098614"}, {"ref": "nguyentuandung250804/ml-zoomcamp-2024-best-catboost", "kernel_id": "83421430"}, {"ref": "vananhzz11/catboost", "kernel_id": "84031910"}, {"ref": "saptaparnisaha/ai-ml-project", "kernel_id": "114209923"}, {"ref": "leetmus/demand4cast", "kernel_id": "117390452"}]}
{"competition_id": "88033", "kernels": []}
{"competition_id": "88037", "kernels": []}
{"competition_id": "88044", "kernels": []}
{"competition_id": "88046", "kernels": [{"ref": "cashfeg/restore-by-chatgpt", "kernel_id": "71809150"}, {"ref": "cpmpml/strange-behavior-of-scorer", "kernel_id": "71493985"}, {"ref": "simjeg/greedy-decoding", "kernel_id": "71430990"}, {"ref": "raresbarbantan/santa-2024-form-a-sentence", "kernel_id": "71683560"}, {"ref": "mturk24/mturk-v1-simulated-annealing", "kernel_id": "71880261"}, {"ref": "seshurajup/santa-2024-eda", "kernel_id": "71368228"}, {"ref": "docxian/experimenting-with-llms", "kernel_id": "71407413"}, {"ref": "suicaokhoailang/beamsearch", "kernel_id": "71487518"}, {"ref": "cdeotte/brute-force-first-sample-perplexity-470", "kernel_id": "71866811"}, {"ref": "jazivxt/diminutive-effort", "kernel_id": "71502763"}, {"ref": "stpeteishii/pos-tag-gemma-score", "kernel_id": "71586911"}, {"ref": "stpeteishii/random-shuffle-gemma-score", "kernel_id": "71508612"}, {"ref": "stpeteishii/similarity-gemma-score", "kernel_id": "71447016"}, {"ref": "ilu000/strange-behavior-of-scorer-fix", "kernel_id": "71520689"}, {"ref": "mpwolke/hohoho-scrogge-you-rudolph", "kernel_id": "71360079"}, {"ref": "mbmmurad/santa-ensemble-of-public-notebooks", "kernel_id": "71640387"}, {"ref": "aatiffraz/basic-genetic-search-algorithm", "kernel_id": "71434178"}, {"ref": "gazizzhumash/token-order-for-minimum-perplexity-using-bigram", "kernel_id": "71698229"}, {"ref": "fernandosr85/christmas-story-optimizer", "kernel_id": "71443967"}, {"ref": "cnumber/strange-behavior-of-scorer", "kernel_id": "71488310"}, {"ref": "asalhi/context-based-reordering-gemma-2-9b", "kernel_id": "71423884"}, {"ref": "whydata/rules", "kernel_id": "71366572"}, {"ref": "akakii/santa-2024-gpt2-public-re-start", "kernel_id": "71427228"}, {"ref": "jocelyndumlao/santa-s-2024-puzzle-the-perplexity-challenge", "kernel_id": "71370050"}, {"ref": "hoon0303/santa-2024-perplexityoptimizer", "kernel_id": "71850111"}, {"ref": "dukujamesmathew/text-reordering-perplexity-llm", "kernel_id": "71821453"}, {"ref": "kosirowada/simple-simulated-annealing-baseline", "kernel_id": "71443276"}, {"ref": "bishopfunc/llm-based-merge-beam-search", "kernel_id": "71513020"}, {"ref": "bishopfunc/beamsearch", "kernel_id": "71642481"}, {"ref": "nanditapore/the-perplexity-permutation-puzzle", "kernel_id": "71772700"}, {"ref": "yunsuxiaozi/santa2024-longer-better", "kernel_id": "71362240"}, {"ref": "metric/santa-2024-metric", "kernel_id": "71069344"}, {"ref": "richolson/santa-claude-s-approach-simulated-annealing", "kernel_id": "71564000"}, {"ref": "samanfatima7/santa-2024-get-started", "kernel_id": "71384198"}, {"ref": "razvanmihaihanghicel/minimizing-perplexity-for-holiday-cheer", "kernel_id": "71474179"}, {"ref": "gagandeep44489/santaembeddingbert", "kernel_id": "71659850"}, {"ref": "abdmental01/santa-2024", "kernel_id": "71375682"}, {"ref": "abdullah0a/santa-2024-rearranging-text", "kernel_id": "71353781"}, {"ref": "bramceli/metric", "kernel_id": "71864395"}, {"ref": "bramceli/tutorial-how-to-import-the-metric-as-a-package", "kernel_id": "71990930"}, {"ref": "shahzaibmalik44/text-reordering-perplexity-calculation-llm-model", "kernel_id": "71379971"}, {"ref": "hejuncheung/santa-2024-demo1", "kernel_id": "71371677"}, {"ref": "spmohanty09/perplexity-permutation-puzzle-v2-0", "kernel_id": "71767646"}, {"ref": "aryagokh/santa-perplexity-trying-out", "kernel_id": "71467308"}, {"ref": "aryagokh/santa-s-perplexity-permutations", "kernel_id": "71650370"}, {"ref": "sonypermana/kaggle-kernels-output-sonypermana-notebookbf7fad6b", "kernel_id": "71800393"}, {"ref": "taheriodgewala/minimize-perplexity-with-fine-tuning-chatgpt2", "kernel_id": "71774445"}, {"ref": "giovannivessio/santa-2024-the-perplexity-permutation-puzzle", "kernel_id": "71353395"}, {"ref": "shraddhasingh1205/santa-perplexity-notebook", "kernel_id": "71855288"}, {"ref": "titericz/sorting-sample-6", "kernel_id": "72383283"}, {"ref": "hengck23/key-cache-for-large-width-beam-search", "kernel_id": "72328793"}, {"ref": "simjeg/relax-it-s-santa", "kernel_id": "72118240"}, {"ref": "alexanderzv/exploring-quantized-models-for-metric", "kernel_id": "72136098"}, {"ref": "solverworld/perturbation-size-analysis", "kernel_id": "72110604"}, {"ref": "neibyr/batch-metric-with-cache", "kernel_id": "72517914"}, {"ref": "nguyenhoa/attention-maps-explain-alphabet-sort-for-sample6", "kernel_id": "72414561"}, {"ref": "utm529fg/eng-tutorial-2-greedy", "kernel_id": "72304389"}, {"ref": "utm529fg/eng-tutorial-1-issues-in-competitions", "kernel_id": "72289747"}, {"ref": "utm529fg/eng-tutorial-4-hill-climbing", "kernel_id": "72537300"}, {"ref": "utm529fg/eng-tutorial-3-beam-search", "kernel_id": "72543380"}, {"ref": "utm529fg/eng-tutorial-6-genetic-algorithm", "kernel_id": "72799344"}, {"ref": "utm529fg/eng-tutorial-5-simulated-annealing", "kernel_id": "72801292"}, {"ref": "satyaprakashswain/santa-2024-perplexity-permutation-puzzle", "kernel_id": "72003614"}, {"ref": "jazivxt/diminutive-effort-tpu", "kernel_id": "72073626"}, {"ref": "stpeteishii/pos-tag-roberta-score", "kernel_id": "72760753"}, {"ref": "korpan/2024-santa-perplexity-puzzle-explained-starter", "kernel_id": "72086673"}, {"ref": "woosungyoon/eda-for-santa-2024", "kernel_id": "72093463"}, {"ref": "woosungyoon/eda-and-metaheuristics-with-pok-mon", "kernel_id": "72114807"}, {"ref": "woosungyoon/simulated-gemini-santa-2024", "kernel_id": "72139859"}, {"ref": "woosungyoon/sa-and-temperature-control", "kernel_id": "72572038"}, {"ref": "woosungyoon/transformer-policy-santa-2024", "kernel_id": "72376498"}, {"ref": "asalhi/sorting-sample-6-stopwords-first", "kernel_id": "72440063"}, {"ref": "karanlvm/perplexitytuner", "kernel_id": "72462956"}, {"ref": "ucas0v0zhuoqunli/quick-genetic-algorithms-start-notebook", "kernel_id": "72689031"}, {"ref": "ahmedayman4a/santa-rl-2", "kernel_id": "72934345"}, {"ref": "lucsxd/sa-bee-search", "kernel_id": "72538197"}, {"ref": "richolson/santa-claude-2-electric-word-erloo", "kernel_id": "72016204"}, {"ref": "martinapreusse/santa-s-children", "kernel_id": "72462751"}, {"ref": "fredericnicholson/santa-zero-shot-reindeer", "kernel_id": "72196318"}, {"ref": "sdeogade/santa-2024-the-perplexity-permutation-puzzle", "kernel_id": "72859278"}, {"ref": "veniaminnelin/exploration-of-the-local-minima-problem", "kernel_id": "72128721"}, {"ref": "hayatetaf/beam-search-v1", "kernel_id": "72567141"}, {"ref": "malikatifsaleem/santastories-perplexity-permutation-2024", "kernel_id": "72196376"}, {"ref": "tantouni/aco-sa-santa-2024-the-perplexity-permutation", "kernel_id": "72603152"}, {"ref": "mohamedbassat/evolutionary-computation-ec", "kernel_id": "72517644"}, {"ref": "mohamedbassat/rl-maybe", "kernel_id": "72750556"}, {"ref": "khushbukakdiya/santa2024", "kernel_id": "72136739"}, {"ref": "matthieuouvrard/notebookbf670ebd19-ilumnia", "kernel_id": "72882936"}, {"ref": "glazed/yet-another-hill-climber", "kernel_id": "73236987"}, {"ref": "inversion/same-docker-image-as-santa-metric", "kernel_id": "73344816"}, {"ref": "simjeg/relax-it-s-differentiable-santa", "kernel_id": "73136548"}, {"ref": "alexanderzv/visualizing-word-level-entropy-in-text", "kernel_id": "73344043"}, {"ref": "dan3dewey/santa-2024-the-llm-placation-puzzle", "kernel_id": "73058371"}, {"ref": "xiaomaguo/fast-genetic-algorithm-for-id-0", "kernel_id": "73118060"}, {"ref": "utm529fg/eng-tutorial-7-consideration-of-improvement", "kernel_id": "73068099"}, {"ref": "utm529fg/i-want-to-achieve-the-same-score-as-the-lb", "kernel_id": "73705367"}, {"ref": "egortrushin/santa24-improving-sample-2", "kernel_id": "73645763"}, {"ref": "jazivxt/regression-test", "kernel_id": "73348928"}, {"ref": "jazivxt/to-winning-sort-off", "kernel_id": "73741436"}, {"ref": "stpeteishii/topological-sort-roberta-score-w-tpu", "kernel_id": "73190187"}, {"ref": "stpeteishii/topological-repeated-sort-roberta-score-w-tpu", "kernel_id": "73281430"}, {"ref": "dedquoc/santa-2024-solve-puzzle", "kernel_id": "73413489"}, {"ref": "woosungyoon/eda-for-santa-2024-3", "kernel_id": "73115408"}, {"ref": "isakatsuyoshi/santa-2024-metric", "kernel_id": "73264084"}, {"ref": "liimaxime/fork-of-santa-2024-the-perplexity-permutation-pu", "kernel_id": "73171329"}, {"ref": "youssefelzahar/santa-compitation", "kernel_id": "73474987"}, {"ref": "srinivasta/santa-2024", "kernel_id": "73245995"}, {"ref": "srinivasta/santa-2024-2", "kernel_id": "73360418"}, {"ref": "bakuer30/fine-tuning-sa", "kernel_id": "73351220"}, {"ref": "rubycc/i-want-to-achieve-the-same-score-as-the-lb", "kernel_id": "73778603"}, {"ref": "xyzeys/santa-2024-pythia-2-8b", "kernel_id": "73286819"}, {"ref": "hamzabousalih/santa-2024-prob-matrix", "kernel_id": "73002467"}, {"ref": "c0ldzy/brute-force-improvement", "kernel_id": "73072301"}, {"ref": "c0ldzy/improvement-with-small-annealing", "kernel_id": "73953733"}, {"ref": "sulaniishara/santa-2024-optimize-perplexity-with-sa", "kernel_id": "73609958"}, {"ref": "hikari30/annealing", "kernel_id": "73126258"}, {"ref": "hikari30/santa2024-beam-and-sa", "kernel_id": "73449635"}, {"ref": "ulasdesouza/diminutive-effort-tpu", "kernel_id": "73225241"}, {"ref": "ulasdesouza/metaheuristic-algorithm", "kernel_id": "73270791"}, {"ref": "pivote1214/exploring-lightweight-alternatives-to-gemma-2-9b", "kernel_id": "73152077"}, {"ref": "yaseredkina/sy-santa-s-2024-puzzle", "kernel_id": "73283200"}, {"ref": "fatimahabouz/aco-perpelexity", "kernel_id": "73385749"}, {"ref": "ucakhalil/aco-perplexity", "kernel_id": "73366797"}, {"ref": "mohdramlanbinmroslan/notebook9b1cd7b99e", "kernel_id": "73703324"}, {"ref": "olaflundstrom/santa-2024-bed-rftigen", "kernel_id": "73931933"}, {"ref": "rockandy/notebookbbc807dbd1", "kernel_id": "73938013"}, {"ref": "zlp66/evaluation-metric-really-using-tpu", "kernel_id": "74582161"}, {"ref": "pablomarino/prompt-optimization-on-claude-haiku", "kernel_id": "74827030"}, {"ref": "pablomarino/claude-haiku-vs-sonnet-vs-agents", "kernel_id": "74547663"}, {"ref": "pablomarino/baseline-vs-random-perplexity", "kernel_id": "74526318"}, {"ref": "mucahit23/story-reordering", "kernel_id": "74052039"}, {"ref": "dilgekarakas/santa-24-fastest-batch-size", "kernel_id": "74015579"}, {"ref": "kirderf/token-order-based-on-model-s-internal-patterns", "kernel_id": "74333720"}, {"ref": "kirderf/fast-ensemble-of-multi-solutions-scores-analysis", "kernel_id": "74328828"}, {"ref": "shrutidceit/santa-perms-475-final", "kernel_id": "74772968"}, {"ref": "woosungyoon/basic-metric", "kernel_id": "74519980"}, {"ref": "sathvikshivam/notebook93d30b395b", "kernel_id": "74186406"}, {"ref": "chanchal24/mental-health-chatbot", "kernel_id": "74508973"}, {"ref": "edacelikeloglu/basic-fine-tunning-with-gemma2-for-santa-2024", "kernel_id": "74143460"}, {"ref": "apoteosechannel/s-o-m-1-0-santa-2024", "kernel_id": "74120493"}, {"ref": "veniaminnelin/simple-permutation", "kernel_id": "74032388"}, {"ref": "veniaminnelin/fine-tuning-word4-simple-permutation", "kernel_id": "74973618"}, {"ref": "sunnyvarnawal/simulated-annealing-stopwords", "kernel_id": "74381629"}, {"ref": "agnibharoy10/santa-2024-puzzle", "kernel_id": "74612580"}, {"ref": "edteoh/evaluation-metrics-on-apple-silicon", "kernel_id": "74196219"}, {"ref": "cashfeg/valid-length", "kernel_id": "75539774"}, {"ref": "zaburo/2nd-place-solution-zaburo-s-part", "kernel_id": "75633210"}, {"ref": "tobimichigan/santa-the-perplexity-algorithm", "kernel_id": "75247006"}, {"ref": "pablomarino/data-generation-for-llm-finetuning", "kernel_id": "75359532"}, {"ref": "pablomarino/deepseek-r1-distill-vs-llama-8b", "kernel_id": "75206600"}, {"ref": "siavrez/3rd-place-sa-weighted-candidate-generator-sol2", "kernel_id": "75635327"}, {"ref": "shrutidceit/santa-shuffle-permutation", "kernel_id": "75082598"}, {"ref": "shrutidceit/santa-hill-climbing-final", "kernel_id": "75593442"}, {"ref": "shrutidceit/santa-final-submission", "kernel_id": "75599339"}, {"ref": "shrutidceit/santa-beam-search", "kernel_id": "75427899"}, {"ref": "shrutidceit/santa-simulated-annealing-final", "kernel_id": "75480902"}, {"ref": "woosungyoon/trial-1-beam-simulated-annealing", "kernel_id": "75689295"}, {"ref": "woosungyoon/trial-2-simulated-annealing", "kernel_id": "75691002"}, {"ref": "woosungyoon/alphabetical-sample-5", "kernel_id": "75260350"}, {"ref": "danielphalen/santabasinclimberv7-final", "kernel_id": "75680988"}, {"ref": "max2020/santa24-7th-place-solution", "kernel_id": "75910789"}, {"ref": "josephnehrenz/santa-2024-perplexity-score-minimization", "kernel_id": "75092935"}, {"ref": "isakatsuyoshi/optimization-of-word-order-using-optuna", "kernel_id": "75690488"}, {"ref": "lyubomirklyambarski/evolutionary-algorithm", "kernel_id": "75427484"}, {"ref": "asalhi/3rd-place-sa-weighted-candidate-generator-sol1", "kernel_id": "75630649"}, {"ref": "harshityadav229/gemma-2b-perplexity-ensemble-master-optimize-sub", "kernel_id": "75243222"}, {"ref": "zxl2022/santa-2024-simple-starter-and-fine-tuning", "kernel_id": "75631108"}, {"ref": "alvinleenh/santa-2024-beam-search-to-resolve-puzzle", "kernel_id": "75179737"}, {"ref": "dheliu/santa-2024-simple-starter-and-fine-tuning", "kernel_id": "75169352"}, {"ref": "younusmohamed/37-00-ground-zero-gpt-2", "kernel_id": "75138379"}, {"ref": "mohamedmustafashaban/santa-2024-gem", "kernel_id": "75584786"}, {"ref": "angusleung100/santa-2024-perplexity-permutation-ranked-kaggle", "kernel_id": "75539830"}, {"ref": "veniaminnelin/squid-game-platform-strategy-simulation", "kernel_id": "75033910"}, {"ref": "bsmelbs/multiple-sa", "kernel_id": "75706641"}, {"ref": "pablomarino/my-finetune-of-deepseek-r1-distill-llama-8b", "kernel_id": "76998309"}, {"ref": "aidaabd96/santa2024-story-telling-code", "kernel_id": "76823071"}]}
{"competition_id": "88074", "kernels": [{"ref": "bartoszurban/konkurs-notebook-bartosz-urban", "kernel_id": "70171487"}]}
{"competition_id": "88080", "kernels": []}
{"competition_id": "88100", "kernels": [{"ref": "fdfyaytkt/concon-feature-public", "kernel_id": "73814250"}]}
{"competition_id": "88113", "kernels": []}
{"competition_id": "88117", "kernels": []}
{"competition_id": "88120", "kernels": [{"ref": "mmontiel/submission-example", "kernel_id": "69948137"}, {"ref": "ricardorioda/itj-labs-workshop-competition-pima-dataset", "kernel_id": "70310483"}, {"ref": "redgrappe/cert-submit", "kernel_id": "71655839"}, {"ref": "namratatolani/diabetes-onset-prediction", "kernel_id": "73755712"}]}
{"competition_id": "88142", "kernels": []}
{"competition_id": "88147", "kernels": [{"ref": "hoanganh25991/phobert-v2-classifier-inference", "kernel_id": "70771628"}, {"ref": "hoanganh25991/phobert-classifier-inference", "kernel_id": "70603124"}]}
{"competition_id": "88150", "kernels": [{"ref": "krabhijeet/zero-shot-using-qwen-and-vllm", "kernel_id": "70982939"}, {"ref": "ryches/baseline-aggregation-solution", "kernel_id": "70495092"}, {"ref": "ryches/llm-studio-danube-3-500m-training-tutorial", "kernel_id": "70804990"}, {"ref": "cooleel/starter-zero-shot-data-extraction", "kernel_id": "70620913"}, {"ref": "ijjadadeepika/h2o-medical", "kernel_id": "71239270"}]}
{"competition_id": "88160", "kernels": []}
{"competition_id": "88191", "kernels": []}
{"competition_id": "88226", "kernels": [{"ref": "paddykb/neo-bank-quacking-the-case", "kernel_id": "70088962"}, {"ref": "juliantagell/neobank-r-ml-run-through", "kernel_id": "70748948"}, {"ref": "docxian/neo-bank-churn-prediction-exploration", "kernel_id": "70080543"}, {"ref": "wguesdon/neo-bank-churn-xgboost", "kernel_id": "70660385"}, {"ref": "thomasmeiner/neo-bank-churn-isolation-forest-example", "kernel_id": "70074780"}, {"ref": "thomasmeiner/neo-bank-churn-rfm-via-duckdb", "kernel_id": "70804716"}, {"ref": "thomasmeiner/neo-bank-churn-test-bench-starter-code", "kernel_id": "71376619"}, {"ref": "thomasmeiner/neo-bank-churn-using-llm-for-a-churn-definition", "kernel_id": "71384118"}, {"ref": "martinapreusse/neo-bank-rule-by-rule-r", "kernel_id": "71222091"}, {"ref": "ashioyajotham/neo-bank-churn-prediction", "kernel_id": "72965845"}, {"ref": "shahzaibmalik44/ensemble-learning-neo-bank", "kernel_id": "72451474"}, {"ref": "itkin16/neo-bank-catboost-baseline-with-shap", "kernel_id": "73623750"}, {"ref": "jeremyhaakenson/mlj-neo-neural-networks-cutoff-2-5", "kernel_id": "73399967"}, {"ref": "utkarshmavi/churn-rate-prediction-competetion", "kernel_id": "73089389"}, {"ref": "koalaroger/neo-bank-quacking-the-case", "kernel_id": "73801251"}, {"ref": "wijayasakti/tugas-bda-pattern-analysis", "kernel_id": "73217063"}, {"ref": "ashishtop/neobank-data-understanding", "kernel_id": "74057818"}, {"ref": "itkin16/neo-bank-churn-using-autoencoders-v2", "kernel_id": "74381293"}, {"ref": "hscosta/submission", "kernel_id": "74953195"}, {"ref": "ranzeet013/neo-bank-churn-predictions", "kernel_id": "74590061"}, {"ref": "youmingma/neo-bank-youming-s-solution", "kernel_id": "74016841"}, {"ref": "paddykb/neobank-peeking-the-future", "kernel_id": "75851435"}, {"ref": "tobimichigan/neo-bank-churn-prediction-rf", "kernel_id": "75579965"}, {"ref": "kirderf/mlj-fsm-shp-v2-kirderf", "kernel_id": "75588767"}, {"ref": "xaviercarrera/cryptoneobank-cohort-survival-analysis", "kernel_id": "75273319"}, {"ref": "malaychand/neo-bank-churn-features", "kernel_id": "75053309"}, {"ref": "kamaljit/neo-bank-churn-prediction", "kernel_id": "75420860"}, {"ref": "yunsuxiaozi/2025neobank", "kernel_id": "75598343"}, {"ref": "nicholas33/churn-prediction-take-2-nab153", "kernel_id": "75424958"}, {"ref": "nicholas33/neo-bank-churn-prediction-nab33", "kernel_id": "75013694"}, {"ref": "matheussilvaaaaa/neo-bank-churn-prediction-v1", "kernel_id": "75163492"}, {"ref": "lakshtanov18031987/public-0-24-private-0-27-solution", "kernel_id": "82808413"}, {"ref": "tianyongcan/neo-bank-quacking-the-case", "kernel_id": "107646341"}]}
{"competition_id": "88233", "kernels": []}
{"competition_id": "88246", "kernels": [{"ref": "tavishisharma09/data-decode-resnet50-pretrained-model", "kernel_id": "70467018"}]}
{"competition_id": "88285", "kernels": []}
{"competition_id": "88304", "kernels": []}
{"competition_id": "88305", "kernels": [{"ref": "seydifaye/automatic-speech-recognition-in-wolof-whisper-sn", "kernel_id": "71145046"}]}
{"competition_id": "88310", "kernels": []}
{"competition_id": "88312", "kernels": [{"ref": "jakewright/lightgbm-xgboost-solution", "kernel_id": "70183256"}, {"ref": "egorandreasyan/baseline-london-house-price-catboost", "kernel_id": "70431275"}, {"ref": "vish501/predicting-london-house-prices-xgboost", "kernel_id": "73991183"}, {"ref": "alexandroskanakis/london-house-price-prediction", "kernel_id": "77009131"}, {"ref": "qiaodoubaozi/notebook6dbfb5f9cd", "kernel_id": "77798008"}, {"ref": "phmhunhlongv/hybrid-model-trend-ml", "kernel_id": "80976499"}, {"ref": "twinhter/kaggle-londonpredict-cs116", "kernel_id": "80768982"}, {"ref": "jaxa623/london-house-price-prediction-eda", "kernel_id": "82877007"}, {"ref": "xiaoxiongmiao/london-house-price-prediction-bbb", "kernel_id": "85591505"}, {"ref": "antonglushko1/notebook5988234c43", "kernel_id": "89546193"}, {"ref": "yassaanwer/price-house-prediction", "kernel_id": "89340509"}, {"ref": "ankit02yadav/london-house-price-xgbregressor-0-5042", "kernel_id": "92641299"}, {"ref": "ankit02yadav/london-house-price-pred-pytorch-beginner-234940", "kernel_id": "92889419"}, {"ref": "ananyasing/mlproj", "kernel_id": "96789866"}, {"ref": "ananyasing/ml-proj-best-model-improvements-tryout", "kernel_id": "98622392"}, {"ref": "ongjiunjer/london-house-price-prediction-regression-model", "kernel_id": "98992903"}, {"ref": "metamodels/london-house-price-lightgbm", "kernel_id": "98651067"}, {"ref": "geraldalimon/london-house-prices-eda-feature-eng-predictions", "kernel_id": "103408142"}, {"ref": "hosseinbadrnezhad/ridge-london-house-price-prediction", "kernel_id": "103787504"}, {"ref": "tamwingching/london-house-price-xgboost-with-hyperopt", "kernel_id": "105458665"}, {"ref": "jacobchang1016/london-house-price-prediction-resnet-k-fold", "kernel_id": "106793377"}, {"ref": "jacobchang1016/london-house-price-prediction-mlp", "kernel_id": "106791848"}, {"ref": "gleny48/baseline-london-house-price-catboost", "kernel_id": "107267388"}, {"ref": "notatall37/hpp-deploy", "kernel_id": "108271067"}, {"ref": "gdreallygoodman/170k-mae-lb-xgboost-embeddigs-pca-optuna", "kernel_id": "110472315"}]}
{"competition_id": "88315", "kernels": []}
{"competition_id": "88317", "kernels": []}
{"competition_id": "88325", "kernels": []}
{"competition_id": "88343", "kernels": [{"ref": "jonathanbouchet/eda-voting-ensemble", "kernel_id": "79170717"}]}
{"competition_id": "88345", "kernels": []}
{"competition_id": "88346", "kernels": []}
{"competition_id": "88353", "kernels": []}
{"competition_id": "88369", "kernels": []}
{"competition_id": "88372", "kernels": [{"ref": "arpan0009e/notebook02eeefa430", "kernel_id": "80457181"}, {"ref": "aliraza1998/notebook8a7329c9e2", "kernel_id": "84229874"}, {"ref": "hammadrehmani/yield-prediction-of-wild-blueberries-using-ml", "kernel_id": "86113163"}, {"ref": "karansinghchauhann/notebookc4af59f3f0", "kernel_id": "86032291"}, {"ref": "vivekkhillar/yeild-prediction", "kernel_id": "87482366"}, {"ref": "ankit07chy/yield-prediction", "kernel_id": "87543994"}]}
{"competition_id": "88377", "kernels": []}
{"competition_id": "88400", "kernels": [{"ref": "irobii/credit-card-fraud-detection-kkkim", "kernel_id": "70745964"}, {"ref": "gyumindd/credit-gyumin", "kernel_id": "70419142"}, {"ref": "bangseunguk/baseline", "kernel_id": "70330860"}, {"ref": "ejkatontavrch21/fraud-detection-jiyeon", "kernel_id": "70620900"}, {"ref": "donggyunan/credit-card-fraud-detection", "kernel_id": "70431373"}, {"ref": "dldudwns00111/youngjoon", "kernel_id": "70428205"}, {"ref": "jaydatahome/molab", "kernel_id": "70402498"}, {"ref": "trebleklef/creditcardfrauddetection", "kernel_id": "70432185"}, {"ref": "esthereunhyunji/notebookb42aa61cc9", "kernel_id": "70430838"}, {"ref": "hayannnlee/mainquest-credit-card-fraud-detect-hayan", "kernel_id": "70402737"}, {"ref": "seogideogi/notebook-lee-eunjeong-real", "kernel_id": "70417710"}, {"ref": "firmriger/aaaaaa", "kernel_id": "70402562"}, {"ref": "dk9koo/mainquest-credit-card-fraud-detect-kyungdeok", "kernel_id": "70406614"}, {"ref": "sunahlucyjung/credit-card-fraud-detection", "kernel_id": "70403554"}, {"ref": "dallgona68/notebook8a373b5759", "kernel_id": "70406261"}, {"ref": "hyemiyeo/notebook157694472b", "kernel_id": "70403288"}, {"ref": "hyemiyeo/notebook6654517d40", "kernel_id": "70940266"}, {"ref": "dallgona68/notebookkimjinhyung", "kernel_id": "71048535"}, {"ref": "yousefahmed13/notebookc8cfe17de8", "kernel_id": "107855622"}]}
{"competition_id": "88411", "kernels": [{"ref": "glebyshka/notebook228a9823cf", "kernel_id": "71864542"}]}
{"competition_id": "88432", "kernels": [{"ref": "mr0106/final-production-version", "kernel_id": "114427954"}]}
{"competition_id": "88496", "kernels": []}
{"competition_id": "88500", "kernels": [{"ref": "yuvrajdeshmukh/iris-dataset-by-k-nearest-neighbors", "kernel_id": "84692086"}, {"ref": "antonoof/decisiontree-numpy", "kernel_id": "85282939"}]}
{"competition_id": "88541", "kernels": []}
{"competition_id": "88563", "kernels": [{"ref": "c9076ggggg/lab-project", "kernel_id": "93917861"}]}
{"competition_id": "88572", "kernels": []}
{"competition_id": "88579", "kernels": []}
{"competition_id": "88581", "kernels": []}
{"competition_id": "88586", "kernels": [{"ref": "lyongcan/hw1-1123", "kernel_id": "70586977"}]}
{"competition_id": "88610", "kernels": []}
{"competition_id": "88612", "kernels": [{"ref": "mpwolke/fathomnet-2025-add-database-to-url", "kernel_id": "77954394"}, {"ref": "alexvmt/fathomnet-x-pytorch-lightning-starter", "kernel_id": "80088126"}, {"ref": "platypusbear/make-taxonomic-distance-matrix", "kernel_id": "80899561"}, {"ref": "endofnight17j03/fathomnet-2025-cvpr-fgvc", "kernel_id": "83207280"}]}
{"competition_id": "88619", "kernels": []}
{"competition_id": "88636", "kernels": []}
{"competition_id": "88656", "kernels": []}
{"competition_id": "88667", "kernels": [{"ref": "rbouwmeester/intro-basic-models", "kernel_id": "70667997"}, {"ref": "rbouwmeester/notebookafdbdd6f60", "kernel_id": "71691972"}]}
{"competition_id": "88683", "kernels": []}
{"competition_id": "88706", "kernels": []}
{"competition_id": "88707", "kernels": [{"ref": "sayedhusainmohamed/notebookb0cea5d67d", "kernel_id": "70806716"}, {"ref": "ucas0v0zhuoqunli/to2024-multilabel-classification", "kernel_id": "70794839"}, {"ref": "ilyatroshov/to2024-multilabel-classification", "kernel_id": "81476798"}]}
{"competition_id": "88720", "kernels": []}
{"competition_id": "88735", "kernels": [{"ref": "kumarandatascientist/llm-krl-english-to-tamil", "kernel_id": "70772044"}]}
{"competition_id": "88742", "kernels": [{"ref": "abdullah0a/future-sales-prediction-ensemble-technique", "kernel_id": "65476761"}, {"ref": "thiagomantuani/rohlik-sales-2024-get-started", "kernel_id": "67106995"}, {"ref": "samvelkoch/rohlik2-lama-v6-weighted", "kernel_id": "71192532"}, {"ref": "bestwater/oof-of-autogluon-rohlik-sales-forecasting-chall", "kernel_id": "71242597"}, {"ref": "yunsuxiaozi/rsfc-yunbase", "kernel_id": "71118430"}, {"ref": "abdmental01/rohlik-abd-base-cv-20-0640-lb-22-94348", "kernel_id": "71080322"}, {"ref": "christph/lightgbm-flaml-lb20-76", "kernel_id": "72754584"}, {"ref": "crustacean/rohlik-sales-eda", "kernel_id": "72441690"}, {"ref": "crustacean/simple-catboost-baseline", "kernel_id": "72331336"}, {"ref": "crustacean/pytorch-forecasting-temporal-fusion-transformer", "kernel_id": "72745318"}, {"ref": "dellalkhaled/getting-the-last-changing-point", "kernel_id": "72160896"}, {"ref": "dellalkhaled/intro-to-ruptures", "kernel_id": "72133397"}, {"ref": "fatmagamal22/rohlik-sales-forecasting", "kernel_id": "72460526"}, {"ref": "shahzaibmalik44/rohlik-sales-forecasting-challenge", "kernel_id": "72396633"}, {"ref": "hiarsl/rohlik-sales-enriching-of-calendar-dataset", "kernel_id": "73774293"}, {"ref": "tom3141592/naive-baseline-median-per-id-and-day-of-week", "kernel_id": "73266478"}, {"ref": "theblitzer/rohlik-sales-forecasting", "kernel_id": "73926771"}, {"ref": "dellalkhaled/most-noisy-series", "kernel_id": "73152971"}, {"ref": "meryentr/rohlik-sales-lightgbm-lb-20-75", "kernel_id": "73264176"}, {"ref": "bitcoinftw/dl-notebook", "kernel_id": "73321815"}, {"ref": "bitcoinftw/dl-notebookk", "kernel_id": "73877081"}, {"ref": "ritusantra/rohlik-sales-forecasting-feature-engineering", "kernel_id": "73887666"}, {"ref": "nicolabrescianii/sales-nb", "kernel_id": "73034950"}, {"ref": "bestwater/rohlik2-lama-v7-weighted", "kernel_id": "73400852"}, {"ref": "tunahanakyol/rohlik-sales-autogluon-the-simplest-solution", "kernel_id": "73662513"}, {"ref": "sagarmamodia/rohlik-sales-forecasting-eda", "kernel_id": "73577923"}, {"ref": "c0ldzy/idea-for-improvement-simple-example", "kernel_id": "73688678"}, {"ref": "mariyamalshatta/competition-rohlik-sales-forecasting-challenge", "kernel_id": "73587081"}, {"ref": "ywj990309/rohlik-sales-xgbooster-60-2", "kernel_id": "73607802"}, {"ref": "rajusaipainkra/rohlik-sales-crisp-dm-getting-started", "kernel_id": "73555909"}, {"ref": "darksols/rohlik-sales-forecasting-challenge-business-case", "kernel_id": "73945223"}, {"ref": "cicilay/rohlik-sales-2024", "kernel_id": "73612798"}, {"ref": "paddykb/rohlik-sfc-quacking-the-forecast", "kernel_id": "74007690"}, {"ref": "hiarsl/starter-notebook-with-lagged-features-lb-20-25", "kernel_id": "74058212"}, {"ref": "marcelokenjinoda/rohlik-sales-forecasting-challenge-mknoda", "kernel_id": "74356808"}, {"ref": "earthearss/rohlik-sales-forecasting", "kernel_id": "74212218"}, {"ref": "vl4deee11/rohlik-sales-lgbm-target-encoding-cv", "kernel_id": "74077673"}, {"ref": "annanet/hwlama-sidorova", "kernel_id": "74673002"}, {"ref": "bestwater/v2-of-elend-rohlik-sales-forecasting-challenge", "kernel_id": "74250258"}, {"ref": "liangshutong/autogluon-with-lagged-features", "kernel_id": "74673956"}, {"ref": "fredericnicholson/money-for-nothing", "kernel_id": "74181511"}, {"ref": "sagarmamodia/rohlik-sales-xgboost-lagged-features-21-48", "kernel_id": "74468803"}, {"ref": "sagarmamodia/rohlik-sales-xgboost-49-11", "kernel_id": "74290544"}, {"ref": "sriram61604/competition", "kernel_id": "74211761"}, {"ref": "aravindproml/466th-place-26-29lb-soln-rohliksales", "kernel_id": "74794344"}, {"ref": "priyagurjar198922/rohlik-sales-forecasting", "kernel_id": "74978846"}, {"ref": "syedbaqarx/rohlik-sales-forecasting-holidays-analysis", "kernel_id": "74592962"}, {"ref": "kumarandatascientist/19-60345-hyper-blending-models-better-score", "kernel_id": "75169363"}, {"ref": "wjones3668/rohlik-sales-forecasting-challenge", "kernel_id": "75266217"}, {"ref": "javiernavas/rohnik-v2", "kernel_id": "75940876"}, {"ref": "yzokulu/rohlik-sales-forecasting-advanced-eda", "kernel_id": "75024052"}, {"ref": "yzokulu/rohlik-sales-forecasting-xgbregressor", "kernel_id": "75469198"}, {"ref": "macarrony00/not-a-winner-but-maybe-some-inspiration", "kernel_id": "75086084"}, {"ref": "anubhavtyagi1212/autoviz-auto-gluon-rohlik-sales-forecasting", "kernel_id": "75240844"}, {"ref": "engamohammed/rohilk-forecasting", "kernel_id": "75457916"}, {"ref": "elkasegura/rohlik-sales-forecasting-e", "kernel_id": "75467528"}, {"ref": "garrickchinnis/rohlik-sales-forecasting-challenge-first-attempt", "kernel_id": "75211759"}, {"ref": "gagandeep44489/rohlik-sales-forecasting-challenge", "kernel_id": "75503940"}, {"ref": "suthcong/rohlik-sales-baseline", "kernel_id": "75920019"}, {"ref": "suthcong/rohlik-sales-forecasting", "kernel_id": "75989347"}, {"ref": "suthcong/lgbm-with-feature-engineer-fully", "kernel_id": "75833380"}, {"ref": "suthcong/timegpt-test-inference", "kernel_id": "75849050"}, {"ref": "aslemimolu/rohlik-sales-forecasting", "kernel_id": "75359499"}, {"ref": "ytyfull/rohlic-time", "kernel_id": "75753348"}, {"ref": "hosseindatascience/rohlik-sales-forecasting-challenge", "kernel_id": "75932273"}, {"ref": "eriklundqvist1/rohlik-sales-lagged-features-lightgbm-26-686", "kernel_id": "75154263"}, {"ref": "kushaldevanabanda/rohlik-sales-forecasting-1", "kernel_id": "75406964"}, {"ref": "kushaldevanabanda/rohlik-sales-forecasting-2", "kernel_id": "75464385"}, {"ref": "javierojeda71/rohlik-sales-forecasting-challenge", "kernel_id": "75959685"}, {"ref": "hardyxu52/simplified-3rd-place-solution-rohlik-sales", "kernel_id": "76695761"}, {"ref": "tobimichigan/lightgbm-predicting-the-sales-of-each-loop", "kernel_id": "76624668"}, {"ref": "greysky/rohlik-recursive-prediction", "kernel_id": "76718157"}, {"ref": "bcscuwe1/sales-forecasting-regression", "kernel_id": "76906229"}, {"ref": "moamenibrahim2021/rapid-rohlic-testing-meta-mode", "kernel_id": "76335381"}, {"ref": "madhusudhananaidu/rohlik-self", "kernel_id": "76450369"}, {"ref": "sambui22022517/rohlik-sales-forecasting-using-dl", "kernel_id": "76446333"}, {"ref": "suthcong/optuna-allmodel-local", "kernel_id": "76651088"}, {"ref": "suthcong/flaml-automl", "kernel_id": "76643127"}, {"ref": "suthcong/catboost-optuna", "kernel_id": "76353041"}, {"ref": "suthcong/rohlik-sales-forecasting-advanced-eda", "kernel_id": "76894230"}, {"ref": "suthcong/eda-rohlik", "kernel_id": "76925285"}, {"ref": "bocchist/rohlik-sales-forecasting-challenge", "kernel_id": "76214254"}, {"ref": "monkmode1/sales-forcasting", "kernel_id": "76495062"}, {"ref": "emrekaany/rohlik-dataprep", "kernel_id": "76573603"}, {"ref": "kushaldevanabanda/rohlik-sales-forecasting-7", "kernel_id": "76660678"}, {"ref": "venkytheknown/team-403-rohlik-sales-forecasting", "kernel_id": "76676345"}, {"ref": "suthcong/dbscan-cosine", "kernel_id": "77582307"}, {"ref": "suthcong/warehouse", "kernel_id": "77519480"}, {"ref": "suthcong/rohlik-sales-eda-category", "kernel_id": "77518705"}, {"ref": "suthcong/predict-catboost", "kernel_id": "77052316"}, {"ref": "suthcong/eda-cluster", "kernel_id": "77855563"}, {"ref": "suthcong/knn-kmean-cosine", "kernel_id": "77789605"}, {"ref": "suthcong/train-10-models", "kernel_id": "77933904"}, {"ref": "suthcong/inference-kmean", "kernel_id": "77940573"}, {"ref": "sthnhcng/knn-kmean-cosine", "kernel_id": "78008381"}, {"ref": "yunsuxiaozi/rsfc-top3-study-notebook", "kernel_id": "78239487"}, {"ref": "suthcong/inference-train-10-models", "kernel_id": "78021216"}, {"ref": "suthcong/tabpfn-3rd-solution-based", "kernel_id": "78495254"}, {"ref": "suthcong/rohlik-record-summary", "kernel_id": "78807742"}, {"ref": "sthnhcng/tabpfn-without-fe", "kernel_id": "79404791"}, {"ref": "sthnhcng/structural-time-series-modeling", "kernel_id": "79475091"}, {"ref": "suthcong/bayesian-mcmc-inference", "kernel_id": "79201479"}, {"ref": "yaqisongsong/rohlik-sales-2024-get-started", "kernel_id": "79629320"}, {"ref": "engproali/rohlik-sales-forecasting-challenge-2", "kernel_id": "79066072"}, {"ref": "suthcong/rohlik-sales-forecast-review-khang", "kernel_id": "80067840"}, {"ref": "nguyenvietquangkhang/bayesiansts", "kernel_id": "80628782"}, {"ref": "nguyenvietquangkhang/rohlik-autorima", "kernel_id": "80469715"}, {"ref": "hourz1806/rohlik-sales-2024", "kernel_id": "80701200"}, {"ref": "yaqisongsong/rohlik-sales-2024-original", "kernel_id": "80215692"}, {"ref": "yaqisongsong/rohlik-sales-2024", "kernel_id": "80893525"}, {"ref": "namnguynphmphng/rohlik-sales", "kernel_id": "80260353"}, {"ref": "nguyenvietquangkhang/sts-run-all", "kernel_id": "81181812"}, {"ref": "nguyenvietquangkhang/bsts-rohlik", "kernel_id": "81657853"}, {"ref": "kushaldevanabanda/tsa-project-initial-checks", "kernel_id": "81036493"}, {"ref": "kushaldevanabanda/pa-project-3", "kernel_id": "81038120"}, {"ref": "kushaldevanabanda/tsa-project-lgb", "kernel_id": "81257323"}, {"ref": "namnguynphmphng/notebook23f476a993", "kernel_id": "81367565"}, {"ref": "namnguynphmphng/notebooke77dccbdf2", "kernel_id": "81786809"}, {"ref": "aquatoriyakira/rohlik-sales-spbu", "kernel_id": "83864851"}, {"ref": "vv1ntek/sales-forecasting", "kernel_id": "83798119"}, {"ref": "nguyenphamphuongnam/lightgbm", "kernel_id": "84026159"}, {"ref": "namnguynphmphng/lightgbm", "kernel_id": "84809251"}, {"ref": "namnguynphmphng/ridge-regression", "kernel_id": "84197678"}, {"ref": "botrntrn2106/datapreprocessing", "kernel_id": "85820097"}, {"ref": "botrntrn2106/python-for-machine-learning-project28c2763fbf", "kernel_id": "86079032"}, {"ref": "misterfour/rohik-sales-forecasting-challenge-training", "kernel_id": "87864120"}, {"ref": "misterfour/rohlik-sales-forecasting-challenge-submission", "kernel_id": "88074162"}, {"ref": "nhttruong/01-rohlik-data-preparation-ipynb", "kernel_id": "131767061"}, {"ref": "nhttruong/02-rohlik-data-audit", "kernel_id": "131769189"}, {"ref": "nhttruong/03-rohlik-train-validation-feature-engineering", "kernel_id": "131770038"}]}
{"competition_id": "88751", "kernels": [{"ref": "sayedhusainmohamed/notebookf069744fed", "kernel_id": "70866339"}]}
{"competition_id": "88758", "kernels": []}
{"competition_id": "88810", "kernels": []}
{"competition_id": "88813", "kernels": []}
{"competition_id": "88817", "kernels": []}
{"competition_id": "88826", "kernels": []}
{"competition_id": "88836", "kernels": []}
{"competition_id": "88840", "kernels": [{"ref": "asztyber/przyk-adowy-kod-na-lab-4-snwa", "kernel_id": "71249776"}]}
{"competition_id": "88856", "kernels": [{"ref": "mastershomya/au-1131-house-pricing-competition", "kernel_id": "76296708"}, {"ref": "sonnghm/se151025-sonnhm-assignment3", "kernel_id": "77867075"}]}
{"competition_id": "88869", "kernels": [{"ref": "vasilissioros/notebookc4206b4691", "kernel_id": "71031428"}]}
{"competition_id": "88875", "kernels": [{"ref": "emmaambags/notebook-example", "kernel_id": "71051402"}]}
{"competition_id": "88882", "kernels": []}
{"competition_id": "88883", "kernels": []}
{"competition_id": "88891", "kernels": []}
{"competition_id": "88912", "kernels": []}
{"competition_id": "88937", "kernels": []}
{"competition_id": "88944", "kernels": [{"ref": "mihailodin1/preprocessing-eda-r2-0-22-baseline", "kernel_id": "74275618"}, {"ref": "gomotopicheskie/first-competition", "kernel_id": "76744255"}, {"ref": "maksimqwe/test1", "kernel_id": "78070112"}, {"ref": "timurburovvv/notebook30f1fe99fa", "kernel_id": "78594428"}, {"ref": "valeriysevostyanov/notebook636fb1e0e9", "kernel_id": "104385215"}, {"ref": "madmax2003/choc-1", "kernel_id": "108528138"}, {"ref": "ekaterinamorozova29/chokolate", "kernel_id": "110995506"}]}
{"competition_id": "88953", "kernels": []}
{"competition_id": "88993", "kernels": []}
{"competition_id": "89001", "kernels": []}
{"competition_id": "89002", "kernels": [{"ref": "adsamardeep/chydv-v1", "kernel_id": "77540035"}, {"ref": "swas06/wine-quality", "kernel_id": "77066806"}, {"ref": "ravi20076/winequality2025-baseline-v1", "kernel_id": "77003175"}, {"ref": "abdmental01/chydv-hackathon", "kernel_id": "77141927"}, {"ref": "cf33333/winequality2025-baseline-v1-cd9387", "kernel_id": "77081025"}, {"ref": "michaelrowen/lgbm-reg-optuna-pipeline", "kernel_id": "77086766"}, {"ref": "michaelrowen/lgbm-clf-pipeline", "kernel_id": "77051310"}, {"ref": "ahmeterdempamuk/chdyv-hackathon-2025-competition-notebook", "kernel_id": "77191913"}, {"ref": "sulaniishara/the-data-behind-good-wine", "kernel_id": "78837647"}, {"ref": "muhammetenesnas/wine-quality", "kernel_id": "79155846"}]}
{"competition_id": "89016", "kernels": [{"ref": "manasrajanpandya/getting-started-hu24-exoplanets", "kernel_id": "71245129"}]}
{"competition_id": "89033", "kernels": [{"ref": "asztyber/przyk-adowy-kod-na-lab-3", "kernel_id": "71260291"}]}
{"competition_id": "89045", "kernels": []}
{"competition_id": "89046", "kernels": []}
{"competition_id": "89074", "kernels": []}
{"competition_id": "89075", "kernels": []}
{"competition_id": "89089", "kernels": []}
{"competition_id": "89091", "kernels": []}
{"competition_id": "89112", "kernels": [{"ref": "jzjohnzhou/notebook334b8653fb", "kernel_id": "71999971"}]}
{"competition_id": "89142", "kernels": [{"ref": "lynbrookmlclub/mnist-nn-notebook-use-this-as-guide", "kernel_id": "71381049"}, {"ref": "songjialin35/notebook8f34bc1713", "kernel_id": "72681410"}, {"ref": "davidmunozj/mnist-dataset-nn-with-pytorch", "kernel_id": "72694412"}, {"ref": "mateuszgborski/notebook8d4bef6bec", "kernel_id": "74681364"}, {"ref": "binaykushwaha/notebook2a4ab6b4cd", "kernel_id": "76172575"}, {"ref": "phudao/number-classification-dao-van-phu", "kernel_id": "88182255"}, {"ref": "xunkhimnguyn/mnist-cnn", "kernel_id": "88261355"}, {"ref": "yusuferenkaragz/mnist-number-classification-0-9-no-tf-only-numpy", "kernel_id": "111571607"}]}
{"competition_id": "89161", "kernels": [{"ref": "blueotter99/gridsearch-vs-optuna-with-lightgbm", "kernel_id": "82586624"}, {"ref": "dureyashfeen/bank-customer-churn-prediction", "kernel_id": "82907962"}, {"ref": "annatar1987/bank-customer-0-92706", "kernel_id": "83624904"}, {"ref": "shobhitkumar29/notebookb1805d3ed4", "kernel_id": "84512417"}, {"ref": "haulam234/bank-customer-churn-prediction", "kernel_id": "85719130"}, {"ref": "damianpeiris/bsc-se-cis-6005-20328161-damianpeiris-submission", "kernel_id": "89344797"}, {"ref": "trnhuytun/churn-prediction-1", "kernel_id": "92321266"}, {"ref": "huangjianen/bank-customer-churn-prediction-challenge", "kernel_id": "101878841"}]}
{"competition_id": "89163", "kernels": []}
{"competition_id": "89166", "kernels": [{"ref": "daniilmatvienko/megaolimpiade-itmo-data-analysis-demo", "kernel_id": "73612796"}]}
{"competition_id": "89201", "kernels": []}
{"competition_id": "89228", "kernels": []}
{"competition_id": "89233", "kernels": [{"ref": "timbyxty/notebook2be7178c4b", "kernel_id": "73054497"}]}
{"competition_id": "89242", "kernels": []}
{"competition_id": "89247", "kernels": []}
{"competition_id": "89257", "kernels": []}
{"competition_id": "89259", "kernels": [{"ref": "mohamedramadan2040/customer-distribution-by-country", "kernel_id": "87906754"}]}
{"competition_id": "89260", "kernels": [{"ref": "lillianhorton/basework", "kernel_id": "71616639"}]}
{"competition_id": "89271", "kernels": [{"ref": "juhenfw/classification-using-random-forest-manual-method", "kernel_id": "73150414"}, {"ref": "ryelvinokelo/simulasi", "kernel_id": "73073862"}]}
{"competition_id": "89273", "kernels": [{"ref": "warisratthapoom/car-price-prediction-xgb-lgbm-ydf-autogluon", "kernel_id": "77065289"}, {"ref": "caiharry/notebook6a98b2c8c3", "kernel_id": "77074407"}]}
{"competition_id": "89274", "kernels": []}
{"competition_id": "89298", "kernels": []}
{"competition_id": "89306", "kernels": []}
{"competition_id": "89326", "kernels": []}
{"competition_id": "89356", "kernels": []}
{"competition_id": "89358", "kernels": [{"ref": "tomoyori/fine-tuning-distill-bert-for-date-classification", "kernel_id": "78045356"}, {"ref": "huaiyueluo/fine-tuning-xlnet-eval-ipynb", "kernel_id": "79180449"}]}
{"competition_id": "89381", "kernels": []}
{"competition_id": "89390", "kernels": []}
{"competition_id": "89417", "kernels": [{"ref": "yupeiwong/demo-20241127", "kernel_id": "71755059"}, {"ref": "milesqiu/stacking-milesqiu", "kernel_id": "72736913"}, {"ref": "charlotte090/text-rating", "kernel_id": "72067155"}, {"ref": "dingjiani/notebook8f5dded492", "kernel_id": "72442129"}, {"ref": "markdown123/notebook-success", "kernel_id": "72694318"}, {"ref": "xiaozhao022/meaching-learning-work-zhaoqian", "kernel_id": "72441096"}, {"ref": "skqskq/kaggle-task-si-kangqi", "kernel_id": "72177534"}, {"ref": "tatxtiii/tang-xiren", "kernel_id": "72736318"}, {"ref": "bnulihongyu/lightningball", "kernel_id": "72738768"}, {"ref": "kidult922/yihuan-demo", "kernel_id": "72555329"}, {"ref": "siyuwang421/wsy-20241208", "kernel_id": "72498522"}, {"ref": "liruiyuabcd/notebookcfbd867a5a", "kernel_id": "72769133"}, {"ref": "fuli157/fuli-20241209", "kernel_id": "72566722"}]}
{"competition_id": "89424", "kernels": [{"ref": "abishgupta/telecorm-churn-data-code", "kernel_id": "72486968"}, {"ref": "errohitaggarwal/telecom-churn-case-study", "kernel_id": "72609133"}, {"ref": "marusagar/telecom-churn-case-study-hackathon-accuracy-94", "kernel_id": "72317679"}]}
{"competition_id": "89431", "kernels": []}
{"competition_id": "89445", "kernels": [{"ref": "haoruili/translated-task-description-and-submission-baselin", "kernel_id": "73203381"}]}
{"competition_id": "89475", "kernels": [{"ref": "mitanshu5/notebooke4f5820014", "kernel_id": "72853311"}, {"ref": "aasirwaseer/casml-rag-hackathon", "kernel_id": "72907713"}, {"ref": "ramjasmaurya/rag-baseline", "kernel_id": "72816551"}, {"ref": "vansh63/casml-rag-2024", "kernel_id": "72675953"}, {"ref": "nagesh90899/rag-iisc", "kernel_id": "72669546"}, {"ref": "beastgokul/rag-using-gemma-2-2b-it-langchain-and-chromadb", "kernel_id": "72983392"}, {"ref": "aasirwaseer/langchain-chroma-huggingface", "kernel_id": "73075364"}, {"ref": "ciwrl1/casml-genai-hackaton-advanced-rag", "kernel_id": "73149976"}, {"ref": "bilelhaddad/casml-rag", "kernel_id": "74915587"}, {"ref": "bmhall79/rag-casml", "kernel_id": "75954947"}, {"ref": "yash4agr/casml-psych-llm", "kernel_id": "76007700"}, {"ref": "chehuiliaohui/notebook984fdefcd9", "kernel_id": "83053040"}, {"ref": "beastgokul/fork-of-rag-using-gemma-2-2b-it-langchain-and-chr", "kernel_id": "89195189"}, {"ref": "kureeltanishq/advanced-steps-in-rag-search", "kernel_id": "90884950"}, {"ref": "dmitryvolovikov/fork-of-rag-everything-834e09", "kernel_id": "100473711"}]}
{"competition_id": "89479", "kernels": []}
{"competition_id": "89506", "kernels": []}
{"competition_id": "89507", "kernels": [{"ref": "piotrek40941/xgboost-forecasting", "kernel_id": "72626353"}]}
{"competition_id": "89521", "kernels": []}
{"competition_id": "89526", "kernels": []}
{"competition_id": "89543", "kernels": [{"ref": "ashwalshanbhag/week1", "kernel_id": "92664094"}, {"ref": "yadav98788/supervised-learning-competition", "kernel_id": "123130322"}, {"ref": "harhash/notebookbcbaed680d", "kernel_id": "135172974"}]}
{"competition_id": "89564", "kernels": [{"ref": "owaisraza/notebook379f1e5236", "kernel_id": "73820727"}, {"ref": "abishpius/dogvcatvbird-autogluon-test", "kernel_id": "73642872"}]}
{"competition_id": "89581", "kernels": []}
{"competition_id": "89582", "kernels": []}
{"competition_id": "89586", "kernels": []}
{"competition_id": "89606", "kernels": []}
{"competition_id": "89613", "kernels": []}
{"competition_id": "89623", "kernels": []}
{"competition_id": "89636", "kernels": []}
{"competition_id": "89647", "kernels": [{"ref": "ssegui/baseline-l2count", "kernel_id": "72120755"}, {"ref": "dacxj0/baseline-l2count", "kernel_id": "73115210"}]}
{"competition_id": "89659", "kernels": [{"ref": "jzerox2/drawing-with-llms-getting-started-with-deepseek", "kernel_id": "77970921"}, {"ref": "yururoi/image-to-svg-simple-baseline", "kernel_id": "77542346"}, {"ref": "dster/drawing-with-llms-starter-notebook", "kernel_id": "77394295"}, {"ref": "ryanholbrook/drawing-with-llms-getting-started-with-gemma-2", "kernel_id": "77401077"}, {"ref": "jazivxt/matchstix", "kernel_id": "77421385"}, {"ref": "sinchir0/explore-siglip-similarity", "kernel_id": "77526487"}, {"ref": "sinchir0/rendered-text-on-image2svg", "kernel_id": "77659093"}, {"ref": "sugupoko/simple-image2svg", "kernel_id": "77591934"}, {"ref": "sugupoko/quickly-draw-your-svg", "kernel_id": "77412015"}, {"ref": "mpwolke/the-unicorn-goose-llms-drawing", "kernel_id": "77452959"}, {"ref": "takuji/lucrarea-sample", "kernel_id": "77497053"}, {"ref": "takuji/starter-notebook-description-image-svg", "kernel_id": "77474489"}, {"ref": "takusid/score-0-82-starter-notebook-use-flux1", "kernel_id": "77490262"}, {"ref": "takusid/quickly-draw-train-12-svg", "kernel_id": "77421206"}, {"ref": "takusid/grpo-with-siglip-similarities-reward", "kernel_id": "77717354"}, {"ref": "dedquoc/drawing-with-llms-quick-simple-svg", "kernel_id": "77571287"}, {"ref": "junichiromorita/drawing-with-llms-starter-notebook", "kernel_id": "77640866"}, {"ref": "aaronisomaisom3/drawing-svgs-with-llms-gemma3-it", "kernel_id": "77634141"}, {"ref": "conormacamhlaoibh/naive-adversarial-image-gen-0-4-lb-in-theory", "kernel_id": "77598516"}, {"ref": "tatamikenn/text-rendering-ocr-exploit-lb-0-305", "kernel_id": "77575060"}, {"ref": "tatamikenn/inversion-attack-clip-0-419-raster-image", "kernel_id": "77792728"}, {"ref": "tatamikenn/das-svg-art-gallary-from-train-csv", "kernel_id": "77946703"}, {"ref": "tatamikenn/das-making-clip-models-into-text2pix-generator", "kernel_id": "77939089"}, {"ref": "asarvazyan/view-svgs-with-cairosvg", "kernel_id": "77412777"}, {"ref": "wolflxchuppy/drawing-with-llm-competition", "kernel_id": "77932669"}, {"ref": "tononnh/retrieval-llm", "kernel_id": "77519368"}, {"ref": "brandonkh/drawing-with-llms-getting-started-with-gemma-2", "kernel_id": "77488346"}, {"ref": "kawchar85/drawing-with-llms-getting-started-with-gemma-2", "kernel_id": "77449906"}, {"ref": "tatzuk/g-test-2", "kernel_id": "77514767"}, {"ref": "saichanduyadavalli/drawing-with-llms-version-3-5", "kernel_id": "77515581"}, {"ref": "sumoncse19/drawing-with-llms-starter-notebook", "kernel_id": "77553578"}, {"ref": "abeshith/llm-drawing-llama", "kernel_id": "77635765"}, {"ref": "saurabhru/drawing-with-llms", "kernel_id": "77446229"}, {"ref": "vinodkumargurjar/drawing-with-llms", "kernel_id": "77521249"}, {"ref": "peilwang/finetune-with-lora", "kernel_id": "77553071"}, {"ref": "peilwang/finetune-with-grpo", "kernel_id": "77806829"}, {"ref": "alexandrelemercier/llms-the-art-of-svg-drawing-with-gemma-2", "kernel_id": "77989608"}, {"ref": "alikalwar/drawing-with-llms", "kernel_id": "77555555"}, {"ref": "sunnyvarnawal/drawing-competition", "kernel_id": "77920467"}, {"ref": "harshrajbhar/notebookd3efc91a33", "kernel_id": "77792731"}, {"ref": "olagokeblissman/notebook7c52f91e29", "kernel_id": "77418433"}, {"ref": "aman2626786/drawing-with-llms-first", "kernel_id": "77736059"}, {"ref": "himakshisandal/notebook70dd2431bc", "kernel_id": "77927617"}, {"ref": "olaflundstrom/drawing-with-llms-competition-notebook", "kernel_id": "77458270"}, {"ref": "olaflundstrom/drawing-with-llms-competition-ready-notebook", "kernel_id": "77537333"}, {"ref": "matsumotoarcade/draw-llm", "kernel_id": "77889776"}, {"ref": "rashmibanthia/drawing-with-llms-gemma3-getting-started", "kernel_id": "78447087"}, {"ref": "josepart/stable-diffusion-qa-generation", "kernel_id": "78750792"}, {"ref": "seshurajup/description-s-questions", "kernel_id": "78991368"}, {"ref": "jiazhuang/svg-image-fidelity", "kernel_id": "78722149"}, {"ref": "iiyamaiiyama/hill-climb-aesthetic-score", "kernel_id": "78509988"}, {"ref": "iiyamaiiyama/drawing-with-llms-lb-0-635", "kernel_id": "78478458"}, {"ref": "javihm77/drawing-with-llms-getting-started-with-gemma3", "kernel_id": "78834180"}, {"ref": "takusid/aesthetic-score-0-84", "kernel_id": "78339187"}, {"ref": "shrutidceit/lb-0-396-drawing-svg-w-pattern-matching", "kernel_id": "78396645"}, {"ref": "taikimori/lb-0-674-a-default-svg-only-solution", "kernel_id": "78656765"}, {"ref": "taikimori/old-metric-lb-0-694-sd-boost-via-my-default-svg", "kernel_id": "78659098"}, {"ref": "adsamardeep/llm-v2", "kernel_id": "78577664"}, {"ref": "woosungyoon/svg-draw-gemini", "kernel_id": "78307744"}, {"ref": "sathvikshivam/notebookd0bfa3562a", "kernel_id": "78264204"}, {"ref": "tononnh/ensemble-approach-stable-diffusion-default-svg", "kernel_id": "78386142"}, {"ref": "nguyenhuynhthuytien/drawing-with-llms-gemma-2", "kernel_id": "78329099"}, {"ref": "artrain/lb-0-554-only-svg", "kernel_id": "78241565"}, {"ref": "kawchar85/old-metric-lb-0-691-sd-with-default-svgs", "kernel_id": "78620989"}, {"ref": "kawchar85/old-metric-lb-0-508-simple-svg", "kernel_id": "78217117"}, {"ref": "richolson/sdxl-turbo-svg-new-scoring-metric", "kernel_id": "78651025"}, {"ref": "richolson/stable-diffusion-svg-scoring-metric", "kernel_id": "78222120"}, {"ref": "peilwang/deepseek-svg-data", "kernel_id": "78095963"}, {"ref": "amritarajput54/image-to-svg-pali-gemma-approach", "kernel_id": "78463794"}, {"ref": "alexandrelemercier/data-augmentation-and-svg-merge-verification", "kernel_id": "78173692"}, {"ref": "alexandrelemercier/proof-that-the-new-metric-remains-vulnerable", "kernel_id": "78247735"}, {"ref": "alexandrelemercier/augmented-ensemble-approach-to-llms-drawing", "kernel_id": "78540729"}, {"ref": "alexandrelemercier/simulated-annealing-aesthetic-score", "kernel_id": "78642468"}, {"ref": "kasinadhsarma1/drawing-with-llms-starter-notebook", "kernel_id": "78294615"}, {"ref": "fuzaxia/multiple-regions-starter-notebook", "kernel_id": "78154335"}, {"ref": "baibhavkundu2005/image-to-svg-simple-baseline", "kernel_id": "78525523"}, {"ref": "salehahmedsaleh/llms-ml", "kernel_id": "78238517"}, {"ref": "vinothkumarsekar89/drawing-with-llms-llama-3b-lora-finetuned-model", "kernel_id": "78890039"}, {"ref": "martinsannamaria/notebook8c033c408f", "kernel_id": "78620992"}, {"ref": "felipesens/fine-tuned-llama-3b", "kernel_id": "79176767"}, {"ref": "jiazhuang/getting-started-qwen2-5-32b-instruct-awq-infer", "kernel_id": "79280819"}, {"ref": "jiazhuang/compare-svg-generation-of-mainstream-llms", "kernel_id": "79139618"}, {"ref": "jiazhuang/new-metric-simple-sd-svg-cv-0-485", "kernel_id": "79087311"}, {"ref": "jiazhuang/getting-started-qwen2-5-32b-instruct-awq-eval", "kernel_id": "79335749"}, {"ref": "shaileshshettyd/draw-llm-s-to-me", "kernel_id": "79188399"}, {"ref": "handeakn/drawing-with-llms-n-shot-prompts-with-gemma-2", "kernel_id": "79834299"}, {"ref": "tomirol/ocr-hallucination", "kernel_id": "79170711"}, {"ref": "tatamikenn/draw-with-llms-edge-pixel-attack-demo", "kernel_id": "79222293"}, {"ref": "jiprud/drawing-with-llms-baseline", "kernel_id": "79976423"}, {"ref": "jijagallery/drawing-by-llms-or-by-a-painter", "kernel_id": "79407380"}, {"ref": "abhinavsharma0706/drawing4", "kernel_id": "79286245"}, {"ref": "richolson/tifa-question-generation-qwen-vs-tuned-llama", "kernel_id": "79008620"}, {"ref": "alexandrelemercier/gemini-svg-scene-generator", "kernel_id": "79699190"}, {"ref": "lime1123/drawingwithllm-v9", "kernel_id": "79752912"}, {"ref": "a14iiiii/qwen-rag-for-svg", "kernel_id": "79764306"}, {"ref": "vinothkumarsekar89/drawing-with-llms-default-svg", "kernel_id": "79713757"}, {"ref": "ninobasilaia/notebooke-higher-resolution-and-speed", "kernel_id": "79846029"}, {"ref": "raresbarbantan/drawing-with-llms-validation-dataset-creation", "kernel_id": "80371073"}, {"ref": "raresbarbantan/package-evaluation-with-extra-validation-dataset", "kernel_id": "80658452"}, {"ref": "ryancargan/llm-drawer-prototype", "kernel_id": "80932907"}, {"ref": "crischir/stable-diffusion-xl-svg-scoring-metric", "kernel_id": "80642277"}, {"ref": "crischir/efficient-jpg-svg-conversion-for-llm-fine-tuning", "kernel_id": "80982288"}, {"ref": "mayurimk/getting-started-a-complete-eval-setup", "kernel_id": "80715949"}, {"ref": "dhurky/lb-0-52-sd-svg-conversion-using-vtracer", "kernel_id": "80836020"}, {"ref": "saikatiitkgp/text2svg-03", "kernel_id": "80238690"}, {"ref": "handeakn/drawing-llms-synthetic-questions-dataset", "kernel_id": "80776086"}, {"ref": "harrabiraouf/enhance-the-aes-score-up-to-35", "kernel_id": "80845379"}, {"ref": "konstantinboyko/script-vllm-0-7-2-flash-infer-0-2-1-post1", "kernel_id": "80338902"}, {"ref": "vishnuprasads102cs/llm-to-svg", "kernel_id": "80074209"}, {"ref": "dlondmike/successful-just-use-kagglehub-to-load-model", "kernel_id": "80649498"}, {"ref": "gabrielchegemwihaki/notebookdf264ca8b7", "kernel_id": "80565145"}, {"ref": "alexandrelemercier/efficient-jpg-svg-conversion-for-llm-fine-tuning", "kernel_id": "80084943"}, {"ref": "tmanhnguynduy/utils-draw-with-llms", "kernel_id": "80921029"}, {"ref": "pepushi/drawing-with-llms-gemma3-v2", "kernel_id": "80557114"}, {"ref": "pepushi/drawing-with-llm-qwen2-5-32b-instruct-awq", "kernel_id": "80319175"}, {"ref": "ninobasilaia/fork-of-notebooke-higher-resolution-and-speed", "kernel_id": "80596548"}, {"ref": "ennamb/improving-381-to-435-simple-shapes-and-colors", "kernel_id": "80451581"}, {"ref": "hiranorm/new-metric-lb-0-544-qwen-2-5-coder-32b-awq", "kernel_id": "80707562"}, {"ref": "ahmed18a/drawing-with-llms-getting-started-with-deepseek", "kernel_id": "80544054"}, {"ref": "tweakingbeatsxr/drawing-with-llms-getting-started-with-deepseek", "kernel_id": "80293584"}, {"ref": "josepart/image-generation-models", "kernel_id": "81134237"}, {"ref": "crischir/llm-can-draw", "kernel_id": "81064200"}, {"ref": "crischir/fresh-svg-11k-dataset-for-rag-or-finetuning", "kernel_id": "81027285"}, {"ref": "crischir/starvector-1b-imgsvg", "kernel_id": "81647945"}, {"ref": "crischir/gemma3-drawing", "kernel_id": "81706777"}, {"ref": "jiazhuang/new-metric-simple-sd-svg-iterative-optimize", "kernel_id": "81164638"}, {"ref": "jiazhuang/sd-skills", "kernel_id": "81159365"}, {"ref": "jiazhuang/diffusion-model-demo", "kernel_id": "81114368"}, {"ref": "jiazhuang/sd-lora-demo", "kernel_id": "81513491"}, {"ref": "jiazhuang/sdxl-test-1", "kernel_id": "81739616"}, {"ref": "amodatino/intelligent-scene-analysis-rendering", "kernel_id": "81429114"}, {"ref": "woosungyoon/svg-and-boundary-color-blending", "kernel_id": "81890080"}, {"ref": "woosungyoon/anti-aliasing-filter-example", "kernel_id": "81853395"}, {"ref": "shamimahossain/fork-of-drawing-with-llms-codellama-poc-1-3", "kernel_id": "81724163"}, {"ref": "harrabiraouf/fresh-svg-11k-dataset-for-rag-or-finetuning", "kernel_id": "81005178"}, {"ref": "lakers430/llm-enhance-prompt-to-sd", "kernel_id": "81835769"}, {"ref": "arnavkohli2005/drawing-with-llms-sdxl-scoring-449f59", "kernel_id": "81892570"}, {"ref": "richolson/let-s-defeat-ocr-easy-lb-boost", "kernel_id": "81746252"}, {"ref": "sitaberete/drawing-svg-with-llms-metric-fixes", "kernel_id": "81705249"}, {"ref": "jackpudding/getting-started-qwen2-5-fintune", "kernel_id": "81350497"}, {"ref": "husnifdsteiitb/ensemble-approach-stable-diffusion-default-svg", "kernel_id": "81041027"}, {"ref": "nxlinh/drawing-with-llms-getting-started-with-gemma-2", "kernel_id": "81419589"}, {"ref": "arpit1bansal/svg-baseline", "kernel_id": "81338845"}, {"ref": "toshimitsukimura/79th-place-solution-flux-1-schnell-vtracer-scour", "kernel_id": "81867846"}, {"ref": "wangyang316/simple-model-using-stable-diffusion-and-vtracer", "kernel_id": "81954250"}, {"ref": "vraythomas/qwen2-5-b", "kernel_id": "81527217"}, {"ref": "mariiacc/drawing-with-llms-n-shot-prompts-with-gemma-2", "kernel_id": "81632331"}, {"ref": "superl3/ft-sdxl-vtracer-scour", "kernel_id": "81278889"}, {"ref": "wassimalkhouri/qwan2-5-competion", "kernel_id": "81382065"}, {"ref": "wassimalkhouri/qwen2-5-b", "kernel_id": "81117809"}, {"ref": "ennamb/getting-old-school-with-gemma-2b-it", "kernel_id": "81014312"}, {"ref": "cudamax/new-metric-simple-sd-svg-iterative-optimize", "kernel_id": "81522869"}, {"ref": "crischir/pytorch-svgrender-short-test", "kernel_id": "82892646"}, {"ref": "rohanmitra14/qwen2-5-32b-instruct-awq-prompting-exp", "kernel_id": "82612016"}, {"ref": "vyacheslavshen/flux-schnell-q2-k-quantized", "kernel_id": "82829703"}, {"ref": "yeoyunsianggeremie/16th-place-solution-sd-reranker-proxy-vqa", "kernel_id": "82214784"}, {"ref": "luizhenriquegito/drawing-with-llms-skchet", "kernel_id": "82142451"}, {"ref": "luizhenriquegito/drawingwithllms-submit", "kernel_id": "82455337"}, {"ref": "shinnosuke133/stable-diffusion-svg-scoring-metric-japanese", "kernel_id": "82335013"}, {"ref": "prgckwb/81th-place-solution-flux-1-schnell", "kernel_id": "82272633"}, {"ref": "theunforgiven7/fork-of-new-metric-simple-sd-svg-itera-2b3ea9", "kernel_id": "82747002"}, {"ref": "mr0106/vex-gen", "kernel_id": "82911727"}, {"ref": "kawchar85/sdxl-flash-img-svg", "kernel_id": "82117608"}, {"ref": "edidiongaaron/drawing-with-llms-using-gemma-2", "kernel_id": "82554066"}, {"ref": "jackpudding/new-metric-lb-0-575-sd-svg-with-aes-enhanced", "kernel_id": "82739390"}, {"ref": "poison767287/qwen-3-4b-lora", "kernel_id": "82605377"}, {"ref": "rascanudragos/foreo-task", "kernel_id": "82428576"}, {"ref": "alphadua/main-drawing-with-llms-my-submission", "kernel_id": "82602804"}, {"ref": "a14iiiii/pytorch-svgrender-img-svg", "kernel_id": "82716826"}, {"ref": "tmanhnguynduy/sdxl-turbo", "kernel_id": "82689724"}, {"ref": "wangyang316/extended-vtracer-for-learning", "kernel_id": "82563661"}, {"ref": "samasiayushman/visualization-ultimate-guide-statistics", "kernel_id": "82559435"}, {"ref": "pepushi/drawing-with-llms-sdxl-turbo-v2", "kernel_id": "82930047"}, {"ref": "wexhicy/drawing-sdxl-turbo-svg", "kernel_id": "82686519"}, {"ref": "llkh0a/drawing-with-llm-qwen-3-1-7b-thinking", "kernel_id": "82167351"}, {"ref": "vinothkumarsekar89/drawing-with-llms-qwen3-4b-lora-finetuned-model", "kernel_id": "82272578"}, {"ref": "vinothkumarsekar89/drawing-with-llms-lora-finetune-qwen3-4b-unsloth", "kernel_id": "82250404"}, {"ref": "vinothkumarsekar89/drawing-with-llms-llama-3-2-3b-lora-unsloth", "kernel_id": "82112281"}, {"ref": "pekkaelite/new-metric-simple-sd-svg-cv-0-485", "kernel_id": "82597943"}, {"ref": "deena24/svg-generator", "kernel_id": "82194588"}, {"ref": "xcape74/new-metric-lb-0-606-sd-svg-iter-opt-ocr-decoy", "kernel_id": "82649822"}, {"ref": "siddharth776/drawing-with-llm-v3", "kernel_id": "82133758"}, {"ref": "matvejprytkov/llms1", "kernel_id": "82539384"}, {"ref": "patchang8/chang-infercode1", "kernel_id": "82393750"}, {"ref": "wowogg/simple-model-using-stable-diffusion-and-vtr-9f3867", "kernel_id": "82538110"}, {"ref": "crischir/sdxl-svg-ocr-decoy-vqascore", "kernel_id": "83210385"}, {"ref": "crischir/lb0-636-sdxl-svg-ocr-decoy-vqascore", "kernel_id": "83282455"}, {"ref": "takuji/2nd-place-solution-ocr-attack", "kernel_id": "83696386"}, {"ref": "tomirol/sdxl-turbo-vtracer-aest-opt", "kernel_id": "83566634"}, {"ref": "tomirol/sdxl-turbo-vtracer-sub-0-698-remo", "kernel_id": "83259422"}, {"ref": "tomirol/fork-of-sdxl-turbo-reno-vqa", "kernel_id": "83877291"}, {"ref": "tomirol/fork-of-sdxl-turbo-vtracer-multi-gpu-10b-448-24x", "kernel_id": "83790072"}, {"ref": "conormacamhlaoibh/new-team-name-1st-place-solution", "kernel_id": "83837030"}, {"ref": "yeoyunsianggeremie/fork-of-16th-place-solution-sd-reranker-prox", "kernel_id": "83883750"}, {"ref": "cnumber/cp-gms-3rd-place-solution", "kernel_id": "83763834"}, {"ref": "ryenhails/flux-1-schnell-my-baseline", "kernel_id": "83407602"}, {"ref": "aritra423/drawing-with-llm-pali-gemma-2", "kernel_id": "83085376"}, {"ref": "linrock/9th-place-sdxl-lora-vqa-boost-aesthetics", "kernel_id": "83784380"}, {"ref": "sitaberete/drawing-svg-with-svgen-diffusion", "kernel_id": "83762749"}, {"ref": "puffnie/notebookc1da7f0061", "kernel_id": "83139754"}, {"ref": "howarudo/13th-place-solution-flux-svg-scoring", "kernel_id": "83854346"}, {"ref": "nicecaliforniaw/forked-metric", "kernel_id": "83877412"}, {"ref": "nicecaliforniaw/stable-diffusion-to-svg", "kernel_id": "83888815"}, {"ref": "iamjzero/notebook4640ee3055", "kernel_id": "83748307"}, {"ref": "wexhicy/dreamshaper-sdxl-trubo-svg", "kernel_id": "83842702"}, {"ref": "kaiyoo88/new-metric-lb-0-632-sd-svg-ocr-decoy-vqascore", "kernel_id": "83176483"}, {"ref": "prakhar1803/new-metric-lb-sd-svg-ocr-decoy-v-cb6f8d", "kernel_id": "83219265"}, {"ref": "hiranorm/92th-place-solution-sd-flash-vtracer", "kernel_id": "83579993"}, {"ref": "haoweili2322/qwen2-5-14b-coder-1", "kernel_id": "83221521"}, {"ref": "masonlai42/stable-diffusion-svg-scoring-metric", "kernel_id": "84613882"}, {"ref": "prakhar1803/sd-svg-ocr-decoy-vqa", "kernel_id": "84900116"}, {"ref": "kevlark/4th-place-solution-sd3-5m-draft-diffvg", "kernel_id": "84138858"}, {"ref": "bahmutsky/notebook4026c6b3a3", "kernel_id": "87015214"}, {"ref": "tmanhnguynduy/build-diffvg", "kernel_id": "88519537"}, {"ref": "verifyitisyou/remix-qwen2-5-32b-instruct-awq-infer-3-0", "kernel_id": "88236751"}, {"ref": "verifyitisyou/video-creation-with-qwen2-5-32b", "kernel_id": "88244023"}, {"ref": "rapsan2026/notebook7f15ed1b95", "kernel_id": "108246452"}, {"ref": "sevvalclalcebeciolu/drawing-with-llms-svg-image-generation", "kernel_id": "109375994"}, {"ref": "nihalba/drawingwithllms", "kernel_id": "113703957"}, {"ref": "alphadua/svg-task-1", "kernel_id": "116878122"}, {"ref": "nguynduytmanh/attribute-binding", "kernel_id": "118569904"}, {"ref": "tmanhnguynduy/attribute-binding-dcd75f", "kernel_id": "119007606"}]}
{"competition_id": "89667", "kernels": []}
{"competition_id": "89688", "kernels": [{"ref": "martins0n/simple-etna-example", "kernel_id": "72155708"}]}
{"competition_id": "89693", "kernels": []}
{"competition_id": "89703", "kernels": [{"ref": "asztyber/przyk-adowy-kod-na-lab-5", "kernel_id": "72175791"}]}
{"competition_id": "89712", "kernels": [{"ref": "ishitabahamnia/connectx-notebook1909a3f648", "kernel_id": "93658059"}]}
{"competition_id": "89720", "kernels": []}
{"competition_id": "89723", "kernels": [{"ref": "francescoliveras/ps-s4-e11-c-eda-model-en-es", "kernel_id": "72233013"}, {"ref": "sariel647/dsml-02-05", "kernel_id": "80498303"}]}
{"competition_id": "89759", "kernels": []}
{"competition_id": "89816", "kernels": []}
{"competition_id": "89841", "kernels": [{"ref": "jhimanshu/starter-code-pinn", "kernel_id": "72786759"}, {"ref": "gautam888/casml-2024-scientific-machine-learning-challenge", "kernel_id": "72682573"}]}
{"competition_id": "89850", "kernels": [{"ref": "juliostat/official-starter-notebook-inference-single-image", "kernel_id": "78572104"}, {"ref": "juliostat/official-starter-notebook-inference-on-test-data", "kernel_id": "78565307"}, {"ref": "stpeteishii/plantclef-resnet18-infer-5x5", "kernel_id": "78654227"}, {"ref": "stpeteishii/plantclef-resnet18-train", "kernel_id": "78556260"}, {"ref": "stpeteishii/plant-photo-gallery", "kernel_id": "78902267"}, {"ref": "dungquang8229/a-quick-look-at-the-data", "kernel_id": "78932256"}, {"ref": "juliostat/official-notebook-tiling-inference", "kernel_id": "79357591"}, {"ref": "dedquoc/plantclef2025-evaluation-quick-test", "kernel_id": "79067959"}, {"ref": "junhaochan/with-comments-official-starter-notebook-1-image", "kernel_id": "79103968"}, {"ref": "michalinahulak/playing-with-the-metric-and-submit-from-notebook", "kernel_id": "81911306"}, {"ref": "akiraasonia/plant-recognition-ai", "kernel_id": "94915144"}, {"ref": "cutebomb/tiling-inference", "kernel_id": "99512819"}, {"ref": "freddyvalenciamedina/lab7-valenciamedinafreddydaniel-parte2", "kernel_id": "117721774"}]}
{"competition_id": "89856", "kernels": [{"ref": "kiaberenji/starter-notebook-bank-churn-challenge", "kernel_id": "79854767"}, {"ref": "swas06/imbalancedataset-ann", "kernel_id": "82421288"}, {"ref": "leonardshanjilee/bank-churn-analysis", "kernel_id": "84905016"}]}
{"competition_id": "89895", "kernels": [{"ref": "wanganjin/cugb-machinelearningfinalassignment", "kernel_id": "72512520"}]}
{"competition_id": "89896", "kernels": []}
{"competition_id": "89902", "kernels": []}
{"competition_id": "89905", "kernels": [{"ref": "sahaa63/kyrgyz-language-hand-written-letters-kyrgyzmnist", "kernel_id": "77368304"}, {"ref": "revatisn/lightweight-model-krygyz-mnist", "kernel_id": "103463034"}, {"ref": "hanbiikecorp/super-light-5-min-train-99-accuracy", "kernel_id": "104449289"}]}
{"competition_id": "89912", "kernels": []}
{"competition_id": "89913", "kernels": []}
{"competition_id": "89951", "kernels": []}
{"competition_id": "89952", "kernels": [{"ref": "jackouhai/notebookd9801600e8", "kernel_id": "94792101"}]}
{"competition_id": "89954", "kernels": []}
{"competition_id": "89963", "kernels": []}
{"competition_id": "89973", "kernels": []}
{"competition_id": "89988", "kernels": []}
{"competition_id": "89992", "kernels": []}
{"competition_id": "89994", "kernels": []}
{"competition_id": "90012", "kernels": []}
{"competition_id": "90014", "kernels": [{"ref": "santoshkare/notebook075e7a9042", "kernel_id": "94457209"}]}
{"competition_id": "90015", "kernels": [{"ref": "jonathanbouchet/starter-eda-modeling", "kernel_id": "81070748"}, {"ref": "denvermagtibay/binary-smoke-detector-using-logistic-regression", "kernel_id": "81774746"}, {"ref": "analyticaobscura/1st-place-binary-smoke-detector", "kernel_id": "81845117"}, {"ref": "beyzakucuk/auc-boosting-binary-smoking-detection", "kernel_id": "81628244"}]}
{"competition_id": "90029", "kernels": []}
{"competition_id": "90030", "kernels": [{"ref": "asztyber/przyk-adowy-kod-do-lab-6", "kernel_id": "72566458"}]}
{"competition_id": "90032", "kernels": [{"ref": "darksols/pastry-prediction-forecasting-challenge", "kernel_id": "76622153"}]}
{"competition_id": "90033", "kernels": [{"ref": "nikitavet/storm-nowcasting-lama-ensemble", "kernel_id": "72982055"}, {"ref": "nikitavet/storm-nowcasting-lama-denslight", "kernel_id": "72987698"}, {"ref": "jaejohn/storm-nowcasting-starter", "kernel_id": "72759439"}, {"ref": "hanzeruiooo/lstm-accuracy-94-63", "kernel_id": "72685489"}, {"ref": "tomixbo/storm-nowcasting-xgboost", "kernel_id": "73029901"}]}
{"competition_id": "90039", "kernels": [{"ref": "olimsuyunboyev/churn-prediction", "kernel_id": "75388001"}, {"ref": "sonnghm/se151025-sonnhm-assignment2", "kernel_id": "76874756"}]}
{"competition_id": "90049", "kernels": [{"ref": "joerobcia/vecinos-abandonan", "kernel_id": "73144643"}]}
{"competition_id": "90052", "kernels": []}
{"competition_id": "90087", "kernels": [{"ref": "jonathanbouchet/eda-features-selection-model-tuning", "kernel_id": "79944933"}, {"ref": "debisree/molecular-data-machine-learning", "kernel_id": "79228178"}, {"ref": "docxian/molecular-data-ml-explore-linear-model", "kernel_id": "79431288"}, {"ref": "act18l/how-to-use-pre-trained-model-farm", "kernel_id": "79330247"}, {"ref": "act18l/1-formula-can-accurately-predict-11-of-them", "kernel_id": "79229163"}, {"ref": "jano123/mdml-symbolicregression", "kernel_id": "79570435"}, {"ref": "garrickchinnis/autogluon-molecular-data-pred", "kernel_id": "79221319"}, {"ref": "garrickchinnis/molecular-data-ml", "kernel_id": "79219426"}, {"ref": "garrickchinnis/molecular-data-keras", "kernel_id": "79699617"}, {"ref": "kkhandekar/molecular-data-votingregressor", "kernel_id": "80396279"}, {"ref": "aayushiweb/molecular-data-machine-learning-submit-prediction", "kernel_id": "80894012"}, {"ref": "hamzaamraniii/molecular-feature-engineering", "kernel_id": "80084137"}, {"ref": "purnamaridzkynugraha/selection-features-using-lasso", "kernel_id": "80500910"}, {"ref": "dureyashfeen/md-ml", "kernel_id": "80361915"}, {"ref": "nikitamanaenkov/molecular-data-random-forest", "kernel_id": "80370978"}, {"ref": "zhangfero/molecular-data-machine-learning", "kernel_id": "80476001"}, {"ref": "mr0106/m-d-m-l", "kernel_id": "81396129"}, {"ref": "dataaddict71/smiles-random-forest", "kernel_id": "81639155"}, {"ref": "dataaddict71/fork-of-optuna-lasso-rdkit-ensemble", "kernel_id": "81639047"}, {"ref": "deniz2121/solution2-0-065-score", "kernel_id": "81231996"}, {"ref": "zlatan599/molecular-data-ml-low-rmse", "kernel_id": "81290854"}]}
{"competition_id": "90093", "kernels": []}
{"competition_id": "90095", "kernels": [{"ref": "yosukeyama/data-preprocessing-tr-122824", "kernel_id": "73857992"}, {"ref": "justinkim1216/understanding-problem-with-dataset", "kernel_id": "74470718"}, {"ref": "nitishbiswas1/vision-transformer1", "kernel_id": "77095923"}, {"ref": "yosukeyama/glioma-mdc2025-one-shot-infer", "kernel_id": "80779208"}]}
{"competition_id": "90101", "kernels": [{"ref": "abdullah0a/crop-yield-prediction-with-ai", "kernel_id": "72935318"}, {"ref": "onurkoc83/bagging-leaveoneout-public-5126-4", "kernel_id": "73419057"}, {"ref": "husnashamlik/crop-prediction-random-search-k-fold-r-98-60", "kernel_id": "73943075"}, {"ref": "yunsuxiaozi/iac2024-why-this-competition-is-not-good", "kernel_id": "73237033"}, {"ref": "manavpatel571/farmer-focused-crop-yield-prediction-model", "kernel_id": "73820134"}, {"ref": "govindaramsriram/innovative-ai-challange", "kernel_id": "73666757"}, {"ref": "rassiem/median-bagging-loocv-5123-8", "kernel_id": "73676610"}, {"ref": "rajusaipainkra/agriculture-productivity-prediction-data-analysis", "kernel_id": "73159102"}, {"ref": "dmytriimarko/0-mse-notebook", "kernel_id": "73394419"}, {"ref": "yousefkhalil0/innovative-ai-challenge-2024", "kernel_id": "73732852"}, {"ref": "yjaiswal007/innovative-ai-challenge", "kernel_id": "74431310"}, {"ref": "makyriacou/trial-2", "kernel_id": "74606505"}, {"ref": "zxl2022/innovative-ai-challenge-a3fbf2", "kernel_id": "74754675"}, {"ref": "husnashamlik/eda-on-crop-yield-prediction", "kernel_id": "74220937"}, {"ref": "husnashamlik/end-to-end-cop-yield-prediction-with-ui", "kernel_id": "74293986"}, {"ref": "creativeshishir/crop-yield-prediction", "kernel_id": "74194882"}, {"ref": "jyoti404/crop-yield-prediction", "kernel_id": "74150069"}, {"ref": "ishaanthinks/innovative-ai-challenge-optuna", "kernel_id": "74463643"}, {"ref": "sakibdalal/innovative-ai-challenge", "kernel_id": "74223226"}]}
{"competition_id": "90109", "kernels": []}
{"competition_id": "90111", "kernels": []}
{"competition_id": "90117", "kernels": []}
{"competition_id": "90133", "kernels": []}
{"competition_id": "90183", "kernels": []}
{"competition_id": "90186", "kernels": []}
{"competition_id": "90193", "kernels": []}
{"competition_id": "90196", "kernels": []}
{"competition_id": "90197", "kernels": []}
{"competition_id": "90200", "kernels": []}
{"competition_id": "90201", "kernels": []}
{"competition_id": "90202", "kernels": []}
{"competition_id": "90210", "kernels": [{"ref": "dgiraldoq/sales-forecast-ols-marketing-model", "kernel_id": "111530188"}]}
{"competition_id": "90217", "kernels": []}
{"competition_id": "90255", "kernels": [{"ref": "sadotal/quit-smoking-competition-alon-guy-803073", "kernel_id": "75122113"}, {"ref": "khashper/khashpcomp1", "kernel_id": "75884464"}, {"ref": "waleedgul/all-in-one-notebook", "kernel_id": "78363053"}]}
{"competition_id": "90274", "kernels": [{"ref": "introverstein/ps-s4-ep12-adversarial-validation", "kernel_id": "72015704"}, {"ref": "adaubas/pss25e02-just-a-descriptive-analysis-eda", "kernel_id": "75699671"}, {"ref": "davidalvarezpons/ps-s5e02-backpack-prediction-challenge", "kernel_id": "75916139"}, {"ref": "nisarahmedrana/backpack-price-prediction-ensemble-classifiers", "kernel_id": "75921002"}, {"ref": "narsil/knai-2025-02-07-bag-price-prediction", "kernel_id": "75873556"}, {"ref": "cv13j0/backpack-prediction-challenge-using-gbdt", "kernel_id": "75695052"}, {"ref": "menanick/beat-the-baseline-lb-39-16", "kernel_id": "75700671"}, {"ref": "optimistix/pss5e2-autogluon-starter-lb-39-12", "kernel_id": "75691957"}, {"ref": "charlottetu/backpack-prediction-python-xgb-regressor", "kernel_id": "75734346"}, {"ref": "kumarandatascientist/agentic-ai-pipeline-baseline-models-backpack-v1", "kernel_id": "75910248"}, {"ref": "nnjjpp/play-5-2-eda-xgboost-baseline", "kernel_id": "75690528"}, {"ref": "lucabasa/s05e02-backpacks-or-the-lack-of-signal", "kernel_id": "75912977"}, {"ref": "docxian/ps-s5-e02-significance-checks", "kernel_id": "75876937"}, {"ref": "docxian/ps-s5-e02-backpack-price-prediction", "kernel_id": "75704206"}, {"ref": "datascientistsohail/backpack-ml-season-5-ep-2", "kernel_id": "75840792"}, {"ref": "cdeotte/two-baseline-models-lb-38-91", "kernel_id": "75885123"}, {"ref": "jordanbarker/something-is-strange-here-eda-prediction", "kernel_id": "75812828"}, {"ref": "oscarm524/ps-s5-ep2-eda-modeling-submission", "kernel_id": "75689445"}, {"ref": "essharmav/backpack-prediction-challenge-xgb-rf-ridge", "kernel_id": "75738731"}, {"ref": "stpeteishii/backpack-price-lgbm-w-optuna", "kernel_id": "75700396"}, {"ref": "stpeteishii/backpack-price-predict-visualize-importance", "kernel_id": "75700888"}, {"ref": "stpeteishii/backpack-price-catboost-w-optuna", "kernel_id": "75701615"}, {"ref": "stpeteishii/backpack-price-randomforest-w-optuna", "kernel_id": "75777995"}, {"ref": "mpwolke/backpack-you-get-what-you-pay-for", "kernel_id": "75688760"}, {"ref": "massimilianofronza/backpack-prediction-challenge", "kernel_id": "75923628"}, {"ref": "brukselka/backpack-starter", "kernel_id": "75807402"}, {"ref": "wguesdon/create-a-synthetic-dataset-with-signal", "kernel_id": "75733357"}, {"ref": "wguesdon/when-i-was-backpacking-through-western-europe", "kernel_id": "75707469"}, {"ref": "catadanna/optuna-rf-tab-s5e2", "kernel_id": "75846673"}, {"ref": "hittmg/250201backpack-prediction-challenge", "kernel_id": "75690183"}, {"ref": "akioonodera/ps5-02-regression", "kernel_id": "75829293"}, {"ref": "samuelthomazbastos/39-11-ensemble-lgbm-xgb-and-cat", "kernel_id": "75951452"}, {"ref": "yeonseokcho/backpack-prediction-regression", "kernel_id": "75696948"}, {"ref": "synchrocyclotron/autogluon-regression-optimized-gbm-models", "kernel_id": "75848442"}, {"ref": "regisvargas/autogluon-approach", "kernel_id": "75940558"}, {"ref": "josephnehrenz/38-91-regression-s5e2-catboost-prediction-in-r", "kernel_id": "75776578"}, {"ref": "girishkalyan/bp-prediction", "kernel_id": "75985114"}, {"ref": "ritintiwari/student-bag-price-prediction", "kernel_id": "75788973"}, {"ref": "jocelyndumlao/backpack-price-prediction-baseline-model", "kernel_id": "75848849"}, {"ref": "eslam200/backpack-prediction-eda-visualizations", "kernel_id": "75697008"}, {"ref": "sriram00777/basic-eda-prediction-backpack-challenge", "kernel_id": "75780579"}, {"ref": "karishmabattina/backpack-xgboost", "kernel_id": "75967093"}, {"ref": "piyushjoshi01/s05e02-easy-bag-price-prediction", "kernel_id": "75837108"}, {"ref": "barbagrande007/bbg007-backpack", "kernel_id": "75708503"}, {"ref": "andrexibiza/backpack-prediction-challenge", "kernel_id": "75733466"}, {"ref": "rashidsiddiqui2004/backpack-challenge", "kernel_id": "75976192"}, {"ref": "satyaprakashshukl/regression-backpack-analysis", "kernel_id": "75691119"}, {"ref": "satyaprakashshukl/h20-backpack-prediction-challenge", "kernel_id": "75784280"}, {"ref": "satyaprakashshukl/neural-network-backpack-prediction", "kernel_id": "75842438"}, {"ref": "ravi20076/playgrounds5e2-public-imports-v1", "kernel_id": "75711821"}, {"ref": "ravi20076/playgrounds5e2-public-baseline-v1", "kernel_id": "75712712"}, {"ref": "ravi20076/playgrounds5e2-public-baseline-v2", "kernel_id": "75874519"}, {"ref": "milannagy/pytorch-polars-sklearn-pandas", "kernel_id": "75946142"}, {"ref": "klyushnik/backpack-rmse-39-06557", "kernel_id": "75795836"}, {"ref": "alexkalita/catboost-optuna-data-visualization", "kernel_id": "75703659"}, {"ref": "ali56arif/backpack-price-prediction", "kernel_id": "75709873"}, {"ref": "uuratl/backpack-prediction-with-stackingregressor", "kernel_id": "75986276"}, {"ref": "rv1922/optimized-backpack-price-prediction-lgbm", "kernel_id": "75695777"}, {"ref": "rv1922/regression-backpack-pricing-model-sub", "kernel_id": "75695163"}, {"ref": "rv1922/backpack-pricing-model-catboost", "kernel_id": "75714451"}, {"ref": "rv1922/backpack-price-prediction-autogluon", "kernel_id": "75932806"}, {"ref": "rubanzasilva/s05e02-eda-fastai-gbms", "kernel_id": "75708417"}, {"ref": "cndrip/ps52-baseline", "kernel_id": "75690582"}, {"ref": "brianketelboeter/backpack-analysis", "kernel_id": "75823458"}, {"ref": "arpitrawat/backpack-prediction-with-lightgbm", "kernel_id": "75791135"}, {"ref": "sergeypolivin/backpack-prediction-challenge", "kernel_id": "75803974"}, {"ref": "sabetm/eda-on-backpack-prediction-challenge-ms-dslanders", "kernel_id": "75779173"}, {"ref": "ryrlwakala/backpackpredictionchallenge", "kernel_id": "75858378"}, {"ref": "rtenorioramirez/basic-nn-backpack-prediction", "kernel_id": "75697446"}, {"ref": "adrienmorel97/eda-xgboost-optuna-39-10550", "kernel_id": "75706684"}, {"ref": "msfalif404/s5e2-catboost-optuna-pruner", "kernel_id": "75847786"}, {"ref": "fconti748/a-tough-task-shap-analysis-and-residual-plots", "kernel_id": "75705641"}, {"ref": "masayakawamata/s5e2-tabnet-baseline", "kernel_id": "75699514"}, {"ref": "masayakawamata/s5e2-eda-xgboost-baseline", "kernel_id": "75695693"}, {"ref": "masayakawamata/s5e2-are-our-features-meaningful", "kernel_id": "75715359"}, {"ref": "masayakawamata/s5e2-te-xgb", "kernel_id": "75928585"}, {"ref": "muradpitafi/student-bagpack-prediction", "kernel_id": "75799904"}, {"ref": "vijay20213/bag-price-eda-model-selection-grid-search", "kernel_id": "75802864"}, {"ref": "sikanderriaz/2nd-notebook", "kernel_id": "75786952"}, {"ref": "yaminh/pss5e2-first-try-with-autogluon", "kernel_id": "75698963"}, {"ref": "blackdragonk333/playground-s5-2", "kernel_id": "75775268"}, {"ref": "alisoleymani69/exploratory-data-analysis-for-backpack-price-predi", "kernel_id": "75745100"}, {"ref": "tarundirector/backpack-pred-baseline-ensemble-eda", "kernel_id": "75688423"}, {"ref": "anmuser/backpack-prediction", "kernel_id": "75709427"}, {"ref": "regenyang/xgboost-gridsearch", "kernel_id": "75785119"}, {"ref": "syednazmussakib/not-good-at-all", "kernel_id": "75694739"}, {"ref": "les1781/backpack-prediction-playground-series-s5-e2", "kernel_id": "75890035"}, {"ref": "vishnupriyagarige/backpack-price-prediction", "kernel_id": "75690156"}, {"ref": "yunsuxiaozi/pss5e2-yunbase", "kernel_id": "75705394"}, {"ref": "gyogyocat/5-2-gbm-cat-tune-mix", "kernel_id": "75688566"}, {"ref": "fmoro10/playground-series-s5e2", "kernel_id": "75932262"}, {"ref": "oliverchamberlain/using-lightgbm-techniques", "kernel_id": "75872004"}, {"ref": "oliverchamberlain/backpack-price-prediction-machine-learning-model", "kernel_id": "75867573"}, {"ref": "oliverchamberlain/combining-real-and-synthetic-data-for-ml-solutions", "kernel_id": "75870044"}, {"ref": "oliverchamberlain/backpack-price-prediction-1st-attempt", "kernel_id": "75869241"}, {"ref": "furopuro/s5e2-backpack-price-prediction", "kernel_id": "75983960"}, {"ref": "cosheimil/01-baseline", "kernel_id": "75743592"}, {"ref": "cosheimil/02-adversarial-validation", "kernel_id": "75849971"}, {"ref": "jasanineha/backpack-prediction-challenge", "kernel_id": "75887400"}, {"ref": "abeshith/boosting-isolation-lasso-starter", "kernel_id": "75975994"}, {"ref": "utkarshx27/backpack-prediction-eda-xgb", "kernel_id": "75718415"}, {"ref": "eprossinger/ps-s5e2-detailed-eda-distribution-plots", "kernel_id": "75709747"}, {"ref": "snehalkhandewale/how-much-for-the-backpack-base-model", "kernel_id": "75715223"}, {"ref": "garrickchinnis/backpack-prediction-challenge", "kernel_id": "75944355"}, {"ref": "alkidiarete/super-learner-backpack-prediction", "kernel_id": "75693997"}, {"ref": "sudhanshu1st/backpack-prediction-catboost-eda-fe", "kernel_id": "75942506"}, {"ref": "subarnasaikia/it-s-backpack-time-xgboost", "kernel_id": "75737070"}, {"ref": "subarnasaikia/it-s-backpack-time", "kernel_id": "75707497"}, {"ref": "vinodkumargurjar/backpack-price-prediction-vinod", "kernel_id": "75915401"}, {"ref": "atifaliak/ps-s5e2-gradientboostingregressor", "kernel_id": "75977920"}, {"ref": "fredericnicholson/hike-to-signal-peak-autogluon-with-space", "kernel_id": "75717409"}, {"ref": "pratapkr/training-extra-lgb-cluster-sampling-optuna", "kernel_id": "75802952"}, {"ref": "aayushiweb/backpack-prediction-challenge", "kernel_id": "75907538"}, {"ref": "commentsm/forecasting-backpack-sales", "kernel_id": "75689365"}, {"ref": "filipmartinek/backpack-price-prediction-model-comparison", "kernel_id": "75950928"}, {"ref": "curtiscoding1/s5e2-feature-engineering-cv", "kernel_id": "75932011"}, {"ref": "curtiscoding1/s5e2-easy-eda", "kernel_id": "75736105"}, {"ref": "samiraalipour/backpack-price-prediction-eda-dslanders", "kernel_id": "75714313"}, {"ref": "samiraalipour/eda-autogluon-backpackpricepred-dslanders", "kernel_id": "75738550"}, {"ref": "itzgauurab/worse-than-baseline", "kernel_id": "75688424"}, {"ref": "amri11/backpack-prediction-use-r-and-keras", "kernel_id": "75864970"}, {"ref": "younusmohamed/42-01-complete-eda-xgb", "kernel_id": "75700872"}, {"ref": "zhangfei12322/the-backpack", "kernel_id": "75931790"}, {"ref": "introverstein/s5e2-eda", "kernel_id": "75908964"}, {"ref": "introverstein/s5e2-adversarial-validation", "kernel_id": "75696352"}, {"ref": "renykhan/sfe2-hill-climbing-backpacker", "kernel_id": "75796710"}, {"ref": "renykhan/optuna-for-cat-lgbm-xgb-s5e2-backpacker", "kernel_id": "75794748"}, {"ref": "renykhan/backpacker-cat-baseline", "kernel_id": "75693996"}, {"ref": "renykhan/backpacker-lgbm-cat", "kernel_id": "75701406"}, {"ref": "leonardoten/eda-understanding-your-backpack", "kernel_id": "75690752"}, {"ref": "enesserden/ps-s5e2-histgradientboostingregressor-39-14", "kernel_id": "75985350"}, {"ref": "mikhailnaumov/backpack-nn-lgbm-cat-xgb-ydf-hgb-lineals", "kernel_id": "75706169"}, {"ref": "srgiomanhes/prediction-catboost-backpack", "kernel_id": "75707268"}, {"ref": "akinduhiman/backpack-prediction-challenge-ps5e2-meta-model", "kernel_id": "75815311"}, {"ref": "ashikshahriar/backpack-price-prediction-eda-model-selection", "kernel_id": "75743070"}, {"ref": "ashikshahriar/effieicent-approach-with-multiple-models", "kernel_id": "75787527"}, {"ref": "reetinder/backpack-prediction-xgboost-eda", "kernel_id": "75928194"}, {"ref": "reetinder/h2o-automl-backpack", "kernel_id": "75995841"}, {"ref": "kingkcabir/backpack-38", "kernel_id": "75706541"}, {"ref": "zyh1104/backpack-visual-analysis", "kernel_id": "75691695"}, {"ref": "roqayyeh/backpackprice-catboost-lightbm-dslanders", "kernel_id": "75743333"}, {"ref": "roqayyeh/merged-data", "kernel_id": "75951745"}, {"ref": "daniilnxy/backpack-pred-eda-predict-imputation-optuna", "kernel_id": "75716158"}, {"ref": "abdmental01/catboost-good-start", "kernel_id": "75690872"}, {"ref": "abdmental01/abdbase-backpack-prediction", "kernel_id": "75688819"}, {"ref": "nasiruddinthander/bagpackpredictionchallenge", "kernel_id": "75985106"}, {"ref": "igorvolianiuk/backpack-prediction-eda-catboost-optuna-ir", "kernel_id": "75705145"}, {"ref": "khangtran94vn/eda-strategy-backpack", "kernel_id": "75969392"}, {"ref": "rahulsharmaml/backpack-prediction", "kernel_id": "75845664"}, {"ref": "billbobbroad/xgboost-optuna-and-shap", "kernel_id": "75744490"}, {"ref": "abdullah0a/backpack-price-forecasting-with-eda", "kernel_id": "75735276"}, {"ref": "alaasweed/s5e2-eda-baseline-with-optuna-xgbr", "kernel_id": "75717393"}, {"ref": "alaasweed/playground-s5e2-just-random-entries", "kernel_id": "75869009"}, {"ref": "mohameddrabo/student-bag-price-lgbm", "kernel_id": "75766003"}, {"ref": "sunnyvarnawal/s5e2-catboost", "kernel_id": "75688888"}, {"ref": "aritzll22/mean-model-rmse-39-039275311505314", "kernel_id": "75825871"}, {"ref": "yteshima/ps5s2-easy-dashboard-and-prediction", "kernel_id": "75690106"}, {"ref": "nevrohelios/boost-your-model-with-catboost", "kernel_id": "75733254"}, {"ref": "neeraj8180/lightbgm-xgboost-backpack-prediction-challenge", "kernel_id": "75917197"}, {"ref": "kondlapudidharani/backback-prediction-dataset-challeng-eda-analysis", "kernel_id": "75883737"}, {"ref": "sadettinamilverdil/predicting-backpack-prices-with-xgboost-shap", "kernel_id": "75737009"}, {"ref": "sadettinamilverdil/predicting-backpack-prices-with-lightgbm", "kernel_id": "75798043"}, {"ref": "sadettinamilverdil/backpack-prediction-xgboost-lightgbm-ensemble", "kernel_id": "75861651"}, {"ref": "juyeoung00/backpack", "kernel_id": "75934231"}, {"ref": "iwways/backpack-eda-model-tuning", "kernel_id": "75706306"}, {"ref": "ulasdesouza/catboost-xgboost-39-11920", "kernel_id": "75690212"}, {"ref": "ryankusekwa/backpack-prediction-by-ryan", "kernel_id": "75815144"}, {"ref": "a5hvin/lightgbm-optuna-model", "kernel_id": "75706312"}, {"ref": "kienngx/backpack-prediction", "kernel_id": "75691889"}, {"ref": "cartoonistbeard/s5e2-eda-lgbm-39-13923", "kernel_id": "75706352"}, {"ref": "adamthomas11/s5-02-backpack-prediction-eda", "kernel_id": "75706258"}, {"ref": "adamthomas11/s5-02-backpack-prediction-xgboost-optuna", "kernel_id": "75745676"}, {"ref": "sakhadib/backpack-catboost-with-explanation-39-08", "kernel_id": "75745172"}, {"ref": "vktsyp/catboost-eda-backpack-prediction-challenge", "kernel_id": "75695888"}, {"ref": "schran/backpack-price-prediction", "kernel_id": "75712429"}, {"ref": "rayhanislamhridoy/backpack-eda", "kernel_id": "75807455"}, {"ref": "santhankarnala/backpack-1", "kernel_id": "75934005"}, {"ref": "hanbos/catboost-simple-backpack-pred-model", "kernel_id": "75994147"}, {"ref": "spmohanty09/using-data-processing-pipeline-v1-0", "kernel_id": "75697767"}, {"ref": "ajinilpatel/price-prediction-using-gradient-boosting", "kernel_id": "75974137"}, {"ref": "fahad020/student-bag-price-prediction", "kernel_id": "75986545"}, {"ref": "aadarshvani/exploratory-data-analysis", "kernel_id": "75707101"}, {"ref": "jipwulffele/regression-with-keras", "kernel_id": "75931393"}, {"ref": "jipwulffele/xgboost-and-extra-training-data", "kernel_id": "75930727"}, {"ref": "jipwulffele/baseline-model-just-predict-the-median-price", "kernel_id": "75811370"}, {"ref": "jipwulffele/first-model-are-we-just-predicting-the-median", "kernel_id": "75803089"}, {"ref": "makkun/notebookeafb574f6c", "kernel_id": "75791624"}, {"ref": "tinflorek/xgb-lgbm-cat-hgb", "kernel_id": "75705212"}, {"ref": "aryagokh/automl-backpack", "kernel_id": "75690755"}, {"ref": "aryagokh/eda-and-optuna-backpacked", "kernel_id": "75703409"}, {"ref": "birunthabanrajendram/s05e02-eda-baseline-models", "kernel_id": "75790842"}, {"ref": "here78682/s5e03-binary-prediction-with-rainfall-overview", "kernel_id": "75809685"}, {"ref": "ugurokarapunar/backpack", "kernel_id": "75853940"}, {"ref": "kamil43/backpack-prediciton-regression", "kernel_id": "75733584"}, {"ref": "gmmmmmod2/2025-2-permonth-competiton", "kernel_id": "75857281"}, {"ref": "gmmmmmod2/2025-2-permonth-test", "kernel_id": "75998206"}, {"ref": "jahnavipaliwal/backpack-prediction-using-catboost", "kernel_id": "75904652"}, {"ref": "vitormeurerbesen/ps5e02-3-layer-stacking-gbdts", "kernel_id": "75693683"}, {"ref": "ajtho21/feb-3rd-2025-backpack-price-prediction", "kernel_id": "75903241"}, {"ref": "elasgustavoknaus/anova-optuna-gpu-xgbregressor", "kernel_id": "75690118"}, {"ref": "elasgustavoknaus/v2-anova-optuna-gpu-catboostregressor", "kernel_id": "75738503"}, {"ref": "refiaozturk/backpack-price-prediction-with-xgb-ann", "kernel_id": "75954503"}, {"ref": "zongaobian/catboost-optuna-playgrounds05e02-tutorial", "kernel_id": "75776343"}, {"ref": "moridata/backpack-prediction-challenge-score-39-13439", "kernel_id": "75702408"}, {"ref": "moridata/deep-learning-score-38-93360", "kernel_id": "75849215"}, {"ref": "didartulegen/backpack-price-prediction", "kernel_id": "75779911"}, {"ref": "guneethpalakurthy/using-votingregressor-xgboost-catboost-lightgbm", "kernel_id": "75886508"}, {"ref": "rahuljiwane/notebook-backpack-rahul-jiwane", "kernel_id": "75913733"}, {"ref": "madhushankhadesilva/backpack-prediction", "kernel_id": "75699834"}, {"ref": "pramathdwivedi/backpack-prediction-rmse-score-37-9", "kernel_id": "75938252"}, {"ref": "sanjidh090/notebook4e88fcc485", "kernel_id": "75712814"}, {"ref": "binfinity/backpack-price-prediction-xg-cat", "kernel_id": "75695129"}, {"ref": "cemkilic/trybackpackprediction", "kernel_id": "75947297"}, {"ref": "piratesofmonotony/backpack", "kernel_id": "75978626"}, {"ref": "stevenblaine/gradientboosting-soln", "kernel_id": "75816556"}, {"ref": "olaflundstrom/backpack-price-prediction-complete-analysis-note", "kernel_id": "75704487"}, {"ref": "olaflundstrom/backpack-price-prediction-complete-analysis", "kernel_id": "75705217"}, {"ref": "konstantin1212/hehe-backpack-prediction-challenge", "kernel_id": "75817630"}, {"ref": "saumilpatel6354/backpack-prediction-rangeforestregressor", "kernel_id": "75695850"}, {"ref": "baptistef4st/backpack-bf", "kernel_id": "75817350"}, {"ref": "hemant0591/backpack-eda-and-nn-with-fast-ai", "kernel_id": "76049567"}, {"ref": "wieslawpopielarski/2025-02-09-backpack-price", "kernel_id": "76328441"}, {"ref": "brianedwards/backpack-submission", "kernel_id": "76383507"}, {"ref": "brianedwards/backpack", "kernel_id": "76374077"}, {"ref": "lgregory/sharing-solutions", "kernel_id": "76055889"}, {"ref": "lyalina/backpack-te-histgradientbusting-xgb-catbust", "kernel_id": "76532505"}, {"ref": "aerdem4/lofo-capacity-is-important", "kernel_id": "76261955"}, {"ref": "debisree/backpack-prediction-challenge", "kernel_id": "76887477"}, {"ref": "kumarandatascientist/only-lightgbm-and-te", "kernel_id": "76142025"}, {"ref": "kumarandatascientist/nn-feedforward-backpropagation-te-pretrained", "kernel_id": "76165896"}, {"ref": "kumarandatascientist/llm-basemodel-for-all-generative-code-optimization", "kernel_id": "76056181"}, {"ref": "kumarandatascientist/meta-ensemble-xgm-lgbm-lr-optuna", "kernel_id": "76056361"}, {"ref": "kumarandatascientist/llm-te-xgb-randomizedsearchcv-baseline-v1", "kernel_id": "76008148"}, {"ref": "kumarandatascientist/llm-with-meta-ensemble-upgraded-version", "kernel_id": "76278798"}, {"ref": "kumarandatascientist/tabnet-regressor-backpack", "kernel_id": "76250927"}, {"ref": "kumarandatascientist/catboost-pipeline-pretrained-v1", "kernel_id": "76259943"}, {"ref": "kumarandatascientist/linearreg-with-te-feature-engg-pretrained-v1", "kernel_id": "76242350"}, {"ref": "kumarandatascientist/optimized-twobaselinemlworkflow", "kernel_id": "76293689"}, {"ref": "kumarandatascientist/eda-datascience-ai-agent-pipeline-v1", "kernel_id": "76653559"}, {"ref": "kumarandatascientist/two-steps-backpack-eda-with-datascience-ai-agent", "kernel_id": "76670081"}, {"ref": "jhotor/backpack-pred-autoeda", "kernel_id": "76161191"}, {"ref": "cdeotte/feature-engineering-with-rapids-lb-38-847", "kernel_id": "76879587"}, {"ref": "jordanbarker/decrease-memory-usage-by-82-63", "kernel_id": "76564451"}, {"ref": "kittlein/te-encoding-in-data-table", "kernel_id": "76600440"}, {"ref": "obiaf88/backpack-pipelines-and-columntransformer", "kernel_id": "76788240"}, {"ref": "plavak10/backpack-prediction-challenge-feb-2025", "kernel_id": "76767854"}, {"ref": "quekyaojing/tabtransformer-backpack-prediction", "kernel_id": "76073120"}, {"ref": "llorenzok/backpack", "kernel_id": "76614484"}, {"ref": "catadanna/tab-s5e2-nn", "kernel_id": "76031941"}, {"ref": "eliray1/backpack-prediction-challenge-gb-xgb-lb-39-1705", "kernel_id": "76525766"}, {"ref": "hipparkarrahul18/backpack-prediction-eda", "kernel_id": "76637281"}, {"ref": "aishwaryasharma1992/ps5e2-xgboost-ftw", "kernel_id": "76147054"}, {"ref": "aaronisomaisom3/backpack-xgboost-feature-engineering", "kernel_id": "76739055"}, {"ref": "adsamardeep/backpack-prediction-v1", "kernel_id": "76349189"}, {"ref": "sheikhumer1999/backpack-challange-linear-regression", "kernel_id": "76886915"}, {"ref": "hopesb/backpack-baseline-predicition", "kernel_id": "76082234"}, {"ref": "swas06/backpack-xgboostregressor", "kernel_id": "76373230"}, {"ref": "swas06/backpack-model", "kernel_id": "76848300"}, {"ref": "syrianeagle/fork-of-fork-of-deep-and-wide-both-big-cbed65", "kernel_id": "76821561"}, {"ref": "tracyporter/play-5-2-lin-reg-rounded-bins", "kernel_id": "76528810"}, {"ref": "tracyporter/play-5-2-lin-reg-rounded", "kernel_id": "76531228"}, {"ref": "tracyporter/play-5-2-lin-reg-standardise", "kernel_id": "76533285"}, {"ref": "tracyporter/play-5-2-extra-trees-rounded", "kernel_id": "76518518"}, {"ref": "tracyporter/play-5-2-elasticnet-feature-selection", "kernel_id": "76515188"}, {"ref": "tracyporter/play-5-2-elasticnet-rounded", "kernel_id": "76517428"}, {"ref": "tracyporter/play-5-2-extra-trees", "kernel_id": "76467129"}, {"ref": "tracyporter/play-5-2-elasticnet", "kernel_id": "76444980"}, {"ref": "zhukovoleksiy/backpack-price-prediction-eda-ensemble", "kernel_id": "76618124"}, {"ref": "mirzamilanfarabi/backpack-algorithm-optuna-v1-0", "kernel_id": "76341745"}, {"ref": "sspan0019/s5e2-where-are-the-signals", "kernel_id": "76807709"}, {"ref": "sspan0019/s5e2-optuna-xgb", "kernel_id": "76747034"}, {"ref": "sspan0019/s5e2-model-comparison-optuna-hgb", "kernel_id": "76628384"}, {"ref": "sspan0019/s5e2-tf-keras-simple-nn", "kernel_id": "76565592"}, {"ref": "manandkumar/backpack-submission", "kernel_id": "76157612"}, {"ref": "cabbar14ylnce/backpack-prediction-with-lightgbm", "kernel_id": "76745334"}, {"ref": "palakash123/hyperparameter-tunning-xgb", "kernel_id": "76734271"}, {"ref": "artempanush/s5e2-backpack-prediction-dilemma", "kernel_id": "76020352"}, {"ref": "vaisharma/backpack-prediction-challenge", "kernel_id": "76964389"}, {"ref": "yuvannabawa/eda-catboost-in-progress", "kernel_id": "76894498"}, {"ref": "rashidrk/pseudo-labelling-38-86337-lb", "kernel_id": "76023883"}, {"ref": "pankajguleria11/backpack-prediction-challenge-optimised-models", "kernel_id": "76450626"}, {"ref": "pankajguleria11/backpack-prediction-challenge", "kernel_id": "76150369"}, {"ref": "nicholaspellegrin/18th-place-s5e2-backpack-prediction", "kernel_id": "76927470"}, {"ref": "hoon0303/backpack-stacking-lgbm-xgb-cat", "kernel_id": "76974226"}, {"ref": "angelsotogarca/machine-learning-lgbm-prize-bckpk", "kernel_id": "76746786"}, {"ref": "rv1922/backpack-price-estimation-xgboost-optuna", "kernel_id": "76453813"}, {"ref": "rv1922/regression-back-pack-analysis-optuna-rmse", "kernel_id": "76371592"}, {"ref": "banafshehheidari/bpred-bhk", "kernel_id": "76803997"}, {"ref": "hatakekakshi/s5e2-backpack-prediction-challenge", "kernel_id": "76500208"}, {"ref": "dineshpaladugula/backpack-price-prediction-with-lightgbm", "kernel_id": "76718711"}, {"ref": "danaelshrbiny1/backpack-price-prediction", "kernel_id": "76277412"}, {"ref": "karensnchez/getting-started-with-random-forests", "kernel_id": "76037727"}, {"ref": "arpitrawat/xtremegb-for-bagpack-prediction", "kernel_id": "76771501"}, {"ref": "sabetm/backpackprediction-autogloun-ms-dslanders-39-11907", "kernel_id": "76260932"}, {"ref": "walidbarghout/ai-powered-price-prediction-for-backpacks", "kernel_id": "76589689"}, {"ref": "sabyrbazarymbetov/backpack-me-not", "kernel_id": "76437691"}, {"ref": "sabyrbazarymbetov/backpack-eda", "kernel_id": "76422625"}, {"ref": "sabyrbazarymbetov/backpacker", "kernel_id": "76589995"}, {"ref": "khalednabawi/backpack-prediction", "kernel_id": "76302842"}, {"ref": "srinivasta/lgb-backpack-prediction-challenge", "kernel_id": "76727694"}, {"ref": "joshuaimmanuel9/backpack-prediction-with-lightgbm-xgboost", "kernel_id": "76700635"}, {"ref": "masayakawamata/s5e2-tabnet-baseline-extra-data", "kernel_id": "76047570"}, {"ref": "masayakawamata/s5e2-sae-te-xgb", "kernel_id": "76875108"}, {"ref": "jesusdeleon19/backpack-prediction", "kernel_id": "76409202"}, {"ref": "jaysheeldodia/backpack-prediction", "kernel_id": "76035185"}, {"ref": "spyder7oo/backpack-prediction", "kernel_id": "76089624"}, {"ref": "munna13/back-pack", "kernel_id": "76346605"}, {"ref": "calebboen/backpack-sales-prediction", "kernel_id": "76707442"}, {"ref": "pranjali1121/bagpack-price-prediction", "kernel_id": "76555975"}, {"ref": "feng2003/packsack-prediction", "kernel_id": "76315619"}, {"ref": "arazan/backpackpredictionchallenge-arazan", "kernel_id": "76233489"}, {"ref": "s4mik4dr/catboost-optuna", "kernel_id": "76388293"}, {"ref": "souradippal/code-i-used-to-create-this-dataset-6-months-back", "kernel_id": "76930765"}, {"ref": "sobiahashmi/backpack-prediction-using-ml-and-dl", "kernel_id": "76780840"}, {"ref": "aadhafun/pss5e2-eda-and-feature-engineering", "kernel_id": "76440902"}, {"ref": "taimoorrauf607/backpack-prediction-catboost-optuna", "kernel_id": "76740884"}, {"ref": "vishnupriyagarige/backpack-price-pipeline", "kernel_id": "76081991"}, {"ref": "fmoro10/playground-series-s5e2-ensemble", "kernel_id": "76437425"}, {"ref": "himanshukumar7079/backpack-pred", "kernel_id": "76159587"}, {"ref": "christianvos/backpack-price-prediction-pytorch-nn", "kernel_id": "76845640"}, {"ref": "jasanineha/backpack-prediction", "kernel_id": "76009799"}, {"ref": "masoudhezavian/backpack-all-models", "kernel_id": "76797987"}, {"ref": "patilaakash619/backpack-price-prediction-ml-guide", "kernel_id": "76385692"}, {"ref": "arifmahmudsisir/backpack-prediction-challenge", "kernel_id": "76469983"}, {"ref": "plugadapter3435/backpack-price-prediction", "kernel_id": "76318941"}, {"ref": "kamalnayan10/cnn-and-mlp-regressors", "kernel_id": "76735328"}, {"ref": "garrickchinnis/backpack-prediction-keras", "kernel_id": "76848896"}, {"ref": "garrickchinnis/backpack-prediction-autogluon-tabular", "kernel_id": "76393315"}, {"ref": "alkidiarete/random-forest-backpack", "kernel_id": "76404312"}, {"ref": "alkidiarete/xgbtune-backpack-prediction", "kernel_id": "76340435"}, {"ref": "sujanw0w/backpack-prediction-challenge-notebook", "kernel_id": "76957488"}, {"ref": "huthayfahodeb/lgbm-feature-engineering-tuning", "kernel_id": "76592778"}, {"ref": "huthayfahodeb/xgboost-tuning-rmse-38-95", "kernel_id": "76312667"}, {"ref": "williamdieterfrank/backpack-prediction-xgboost", "kernel_id": "76358678"}, {"ref": "mesutssmn/backpack-prediction-ensemble", "kernel_id": "76802712"}, {"ref": "anshkapxxr/backpack-prediction-using-nn-pytorch-updated", "kernel_id": "76702098"}, {"ref": "francescoalbanesephd/s5e2-backpack-prediction-xgb-lgbm-optuna", "kernel_id": "76669707"}, {"ref": "kimkijun7/backpack-prediction-lgbm-with-r", "kernel_id": "76823268"}, {"ref": "kartikgs/notebooka91298294b", "kernel_id": "76379952"}, {"ref": "aounraza/s5-e2-backpack-price-prediction-pycaret", "kernel_id": "76252831"}, {"ref": "magewade/backpack-prediction-baseline-simple-catboost", "kernel_id": "76977165"}, {"ref": "khushimittal27/backpack-prediction-stacking-regressor", "kernel_id": "76964931"}, {"ref": "zeeshanyounas001/backpack-price-predictor-s5e2", "kernel_id": "76168840"}, {"ref": "scb486/backpack-prediction", "kernel_id": "76106221"}, {"ref": "phamletunhi/backpack-prediction-ml-pipeline", "kernel_id": "76368582"}, {"ref": "kyosukehara/backpack-prediction-challenge", "kernel_id": "76210662"}, {"ref": "hamidrezakazemi/catboost-knn-imputer-rmse-38-9009", "kernel_id": "76055425"}, {"ref": "hamidrezakazemi/autogluon-rmse-39-09844", "kernel_id": "76097446"}, {"ref": "aleksandrakiszkiel/backpack-prediction-challenge", "kernel_id": "76755244"}, {"ref": "younusmohamed/42-02-complete-eda-with-extra-xgb", "kernel_id": "76771169"}, {"ref": "younusmohamed/42-04-autogluon", "kernel_id": "76785246"}, {"ref": "ruwadnaswan/notebookf83acad90a", "kernel_id": "76685706"}, {"ref": "danuherath/backpack-price-prediction-regression", "kernel_id": "76567974"}, {"ref": "nishant272/backpack-prediction-challenge", "kernel_id": "76925401"}, {"ref": "zyh1104/backpack-ensemble-of-solutions", "kernel_id": "76632617"}, {"ref": "zyh1104/backpack-h2o-ai", "kernel_id": "76289728"}, {"ref": "zyh1104/backpack-ensemble-of-solutions-public", "kernel_id": "76832479"}, {"ref": "sanggeunchoi/backpack-prediction-challenge", "kernel_id": "76786564"}, {"ref": "roqayyeh/bachpackprice-lgbm-dslanders", "kernel_id": "76506214"}, {"ref": "abdmental01/target-encoding-lightgbm", "kernel_id": "76683619"}, {"ref": "harshitakumari256/finetuning", "kernel_id": "76718624"}, {"ref": "wushenhaoyu/fork-of-catboost-lgbm-xgbm", "kernel_id": "76833593"}, {"ref": "wushenhaoyu/catboost-lgbm-xgbm", "kernel_id": "76454160"}, {"ref": "lcosioa/backpack-prediction-eda-models", "kernel_id": "76741606"}, {"ref": "michael1o2/backpack-regression", "kernel_id": "76896374"}, {"ref": "igorsharygin/ai-assistent", "kernel_id": "76077907"}, {"ref": "igorsharygin/one-step-solution", "kernel_id": "76023043"}, {"ref": "mihailodin1/eda-xgb-catboost-optuna-ft-selection-39-12", "kernel_id": "76579906"}, {"ref": "dpdesh/backpack-prediction-challenge-first-competition", "kernel_id": "76666285"}, {"ref": "kondlapudidharani/backpack-price-prediction-with-eda", "kernel_id": "76040223"}, {"ref": "nisschaykhandelwal/kaggle-backpack", "kernel_id": "76085752"}, {"ref": "juyeoung00/backpack-lll", "kernel_id": "76499660"}, {"ref": "juyeoung00/backpack-catboost-eda", "kernel_id": "76354022"}, {"ref": "iwways/fast-furryous-catboost", "kernel_id": "76504967"}, {"ref": "quantum09/how-much-is-this-bag", "kernel_id": "76767483"}, {"ref": "yashvisharma1204/backpack-price-prediction", "kernel_id": "76861131"}, {"ref": "vinayreddy2004/notebook667635c2da", "kernel_id": "76054048"}, {"ref": "ayanbashirsheikh/backpack-price-prediction", "kernel_id": "76733069"}, {"ref": "profodonnell/backpack-intro-notebook", "kernel_id": "76391417"}, {"ref": "profodonnell/regression-with-clustering-feature", "kernel_id": "76870591"}, {"ref": "sucheta204/backpack-price-prediction", "kernel_id": "76357566"}, {"ref": "feifeifei111/backpack", "kernel_id": "76136034"}, {"ref": "denkuznetz/backpack-prediction", "kernel_id": "76739125"}, {"ref": "umaraurangzeb/backpack-prediction", "kernel_id": "76172637"}, {"ref": "karuna2k/backpack-prediction-ml-method", "kernel_id": "76389464"}, {"ref": "moon210041145/notebook9808ccd323", "kernel_id": "76218630"}, {"ref": "devaanshpuri/backpack-prediction-simple", "kernel_id": "76262631"}, {"ref": "muhammadusama211/bag-pack-competition-starter-lets-go", "kernel_id": "76384826"}, {"ref": "agnibharoy10/backpack-predictions-notebook", "kernel_id": "76527671"}, {"ref": "abdallahahmed400/backpack-prediction-challange", "kernel_id": "76662179"}, {"ref": "vktsyp/xgboost-eda-backpack-prediction-challenge", "kernel_id": "76672142"}, {"ref": "spaklak/pypelinebackpack-russian-version", "kernel_id": "76742647"}, {"ref": "r1abdelgwad/backpack-prediction", "kernel_id": "76593464"}, {"ref": "zafarali27/backpack-prediction-eda-ml", "kernel_id": "76983668"}, {"ref": "aniruddhmubayi/s5e2-sae", "kernel_id": "76902909"}, {"ref": "simronw/backpack-prediction-challenge", "kernel_id": "76306190"}, {"ref": "abhishek7257383/bagpack-price-prediction", "kernel_id": "76862538"}, {"ref": "dimashdavletov/backpack-prediction-challenge-lr-by-dimash", "kernel_id": "76796246"}, {"ref": "elahehkazemian/backpack-oracle-predict-dslanders", "kernel_id": "76024372"}, {"ref": "aliehhassanzadeh/backpack-prediction-challenge", "kernel_id": "76078407"}, {"ref": "sudeepbhagat123/notebookcdc060f7fd", "kernel_id": "76055092"}, {"ref": "saddasdaasda/look-at-this-trick-dataset", "kernel_id": "76235070"}, {"ref": "saddasdaasda/2-7playground", "kernel_id": "76116892"}, {"ref": "shivamchaudharys/backpack-things-deep-learning", "kernel_id": "76574171"}, {"ref": "liangkaixin/eda-only-lightgbm-38-92", "kernel_id": "76711137"}, {"ref": "prathmeshkushwaha/backpack-price-prediction-using-different-models", "kernel_id": "76914167"}, {"ref": "yashsahu02/backpack-prediction-challenge", "kernel_id": "76976886"}, {"ref": "senasudemir/backpack-price-prediction", "kernel_id": "76325770"}, {"ref": "rishi2674/backpack-prediction-eda", "kernel_id": "76153377"}, {"ref": "octahedronbb/backpack-pred", "kernel_id": "76403480"}, {"ref": "octahedronbb/backpack-pred-model", "kernel_id": "76402495"}, {"ref": "octahedronbb/backpack-random", "kernel_id": "76559194"}, {"ref": "octahedronbb/backpack-pred-hp", "kernel_id": "76340305"}, {"ref": "ishitgehlot/exploring-the-data", "kernel_id": "76970331"}, {"ref": "saad1926q/signal-and-noise", "kernel_id": "76791893"}, {"ref": "irajmozaffari/backpack-price-prediction-dslanders", "kernel_id": "76403008"}, {"ref": "nishita76/backpack-prediction-lr", "kernel_id": "76542433"}, {"ref": "muhammadaiesh/backpack-prediction-challenge-xgboost", "kernel_id": "76136942"}, {"ref": "zohrehai/backpack-price-pred-eda-baseline-dslanders", "kernel_id": "76012451"}, {"ref": "gothamjocker/backpack-prediction-2", "kernel_id": "76818691"}, {"ref": "zakariaelaoufi/backpack-prices-prediction-rmse-39-14891", "kernel_id": "76255171"}, {"ref": "olimsuyunboyev/backpack-challenge", "kernel_id": "76433937"}, {"ref": "shardulggore/backpack-prediction-challenge", "kernel_id": "76665486"}, {"ref": "prudtiponj/backpack-playground", "kernel_id": "76241051"}, {"ref": "nirmitgavate1/backpack-price-prediction", "kernel_id": "76595008"}, {"ref": "sivaprakashvlook/a-backpack-ml-pls-upvote-sp", "kernel_id": "76373641"}, {"ref": "vedeshp/tree-based-backpack", "kernel_id": "76725268"}, {"ref": "kshitishmodi/backpack-prediction-challenge", "kernel_id": "76243482"}, {"ref": "lianalotarets/backpack-prediction-challenge", "kernel_id": "76736563"}, {"ref": "chengyannng/backpackpredprice-pca-with-rf", "kernel_id": "76419661"}, {"ref": "chengyannng/backpackpredprice-rf", "kernel_id": "76373112"}, {"ref": "chengyannng/kaggle-backpackpred-pca-rf-v2", "kernel_id": "76525597"}, {"ref": "anweshmund/anwesh-mund-12413000", "kernel_id": "76953179"}, {"ref": "fathimaazka/backpack-prediction-challenge-rforest", "kernel_id": "76297141"}, {"ref": "mohammedmiktham/backpack-price-prediction", "kernel_id": "76296662"}, {"ref": "madinaly/backback-prediction", "kernel_id": "76680866"}, {"ref": "hybridedits/bag-price-prediction-xgb-and-randomforest-easy", "kernel_id": "76829321"}, {"ref": "rondsai/the-backpack-prediction", "kernel_id": "76093589"}, {"ref": "kushubhai/notebook2fab052445", "kernel_id": "76677500"}, {"ref": "dazzlerarya/bagprediction", "kernel_id": "76958333"}, {"ref": "issueforsky/data-subs", "kernel_id": "76954840"}, {"ref": "jingweii97/backpack-prediction-challenge-s5e2-notebook-v1", "kernel_id": "76765380"}, {"ref": "vishalsankarram/backpack-prediction-challenge", "kernel_id": "76680910"}, {"ref": "barbaracohenccc/backpack-baseline-predicition", "kernel_id": "76974015"}, {"ref": "quezaltendes/backpack-lightgbm-with-gridsearchcv", "kernel_id": "76929899"}, {"ref": "chowdhuryadithi/hybrid-learning-backpack-prediction", "kernel_id": "76325787"}, {"ref": "edwardfarrel/backpackml", "kernel_id": "76363549"}, {"ref": "hanzeruiooo/use-stacking-rmse-38-90008-lightgbm-xgboost-cat", "kernel_id": "76209068"}, {"ref": "anuradhadutta03/backpack-price-prediction-challenge", "kernel_id": "76433679"}, {"ref": "rishiiiiii0099/baseline-model-with-clustering-backpack-challenges", "kernel_id": "76057065"}, {"ref": "rishiiiiii0099/basemodel-linear-regression-backpack-challenges", "kernel_id": "76016968"}, {"ref": "daliado98/dalia-do", "kernel_id": "76870586"}, {"ref": "sacaak/backpack-prediction-challenge-02", "kernel_id": "76453497"}, {"ref": "aryannimeshkumar/backpack-prediction", "kernel_id": "76749053"}, {"ref": "mayomimekala/back-pack-predict", "kernel_id": "76540801"}, {"ref": "mayomimekala/back-pack-prediction-m", "kernel_id": "76781319"}, {"ref": "ozanbozyel/xgb-cat-lgbm-optuna", "kernel_id": "76999712"}, {"ref": "mehtesham/bagpack-regression-model", "kernel_id": "76336995"}, {"ref": "fym123/xgboost-tuning-rmse-38-95", "kernel_id": "76574345"}, {"ref": "ashishkandari3014/backpack-project", "kernel_id": "76670578"}, {"ref": "konstantin1212/the-best-feauture", "kernel_id": "76599291"}, {"ref": "adarsh79x/using-linear-regression", "kernel_id": "76758998"}, {"ref": "martjm26/random-impute-optuna-xgb", "kernel_id": "76907469"}, {"ref": "yadrsv/notebook25a1245083", "kernel_id": "76431848"}, {"ref": "hzzmqzhp/notebook1edb40e0cc", "kernel_id": "76230717"}, {"ref": "swarajpatilds/backpack-price-prediction", "kernel_id": "76355101"}, {"ref": "bhargavsivakoduri/backpack-prediction", "kernel_id": "76957897"}, {"ref": "nikhiljha7030/notebook27b8489547", "kernel_id": "76952961"}, {"ref": "rishavrajpandey/notebookd3bf43287f", "kernel_id": "76959888"}, {"ref": "shritukumari/notebook49145ed9b1", "kernel_id": "76956815"}, {"ref": "saikiranjosyula/price-prediction", "kernel_id": "76954731"}, {"ref": "sunilsharma001/backpack-prediction-challenge", "kernel_id": "76953986"}, {"ref": "akboy9779/backpack-prediction", "kernel_id": "76928699"}, {"ref": "riteshsk0001/backpackpredictionchallenge-rk", "kernel_id": "76982724"}, {"ref": "ritik070/notebookdaf230864e", "kernel_id": "76933641"}, {"ref": "siddharthkr468/notebooka07ea1e3d3", "kernel_id": "76986100"}, {"ref": "akritiipaudel/notebook40c7dd3a1b", "kernel_id": "76053280"}, {"ref": "amritanshu0/bpk-challange", "kernel_id": "76980733"}, {"ref": "piyushjaiswal999/notebook6ddb558f3b", "kernel_id": "76058185"}, {"ref": "joshuastadler/backpack", "kernel_id": "76447978"}, {"ref": "feryrwnn/optimizing-bike-share-for-faster-growth-success", "kernel_id": "76678703"}, {"ref": "feryrwnn/backpack-prediction-fi-gpu-t4-x2", "kernel_id": "76677394"}, {"ref": "goutam02/goutam-02", "kernel_id": "76955086"}, {"ref": "shubham22122/back-pack", "kernel_id": "76955321"}, {"ref": "baissourabh2002/datasubs", "kernel_id": "76956210"}, {"ref": "ugwuprincearinze/notebookf653da54a3", "kernel_id": "76955916"}, {"ref": "lgregory/new-solution-shared", "kernel_id": "77250181"}, {"ref": "kumarandatascientist/use-original-data-for-cv-boost-and-lb-boost", "kernel_id": "77229749"}, {"ref": "ryzhokhina/backpack-price-eda-baseline", "kernel_id": "77545010"}, {"ref": "cdeotte/knn-on-original-data-cv-37-76", "kernel_id": "77054489"}, {"ref": "cdeotte/use-original-data-for-cv-boost-and-lb-boost", "kernel_id": "77209370"}, {"ref": "cdeotte/first-place-single-model-lb-38-81", "kernel_id": "77507268"}, {"ref": "nivgeron/eda-and-modeling-by-an-ai-agent", "kernel_id": "77472599"}, {"ref": "niscreed/memory-optimization-backpack-prediction-challenge", "kernel_id": "77337193"}, {"ref": "kush1729/student-bag-prediction-xgb-regression", "kernel_id": "77103024"}, {"ref": "llorenzok/feature-and-target-encoding", "kernel_id": "77235760"}, {"ref": "chethanbr86/backpack-prediction-challenge-v3", "kernel_id": "77300210"}, {"ref": "purvanshsingh/notebook8795f0da64", "kernel_id": "77552766"}, {"ref": "aaronisomaisom3/backpack-catboost-feature-engineering", "kernel_id": "77404513"}, {"ref": "swas06/backpack-model-optunamodelling", "kernel_id": "77058585"}, {"ref": "jesspudding/backpack-prediction-challenge-edit", "kernel_id": "77084647"}, {"ref": "itskumar/backpackprediction", "kernel_id": "77178312"}, {"ref": "mohamedabder/01-eda-backpack-prediction-challenge", "kernel_id": "77798411"}, {"ref": "mohamedabder/02-modelisation-bagpack-prediction", "kernel_id": "77798485"}, {"ref": "mstsvgram/simple-lgbm", "kernel_id": "77105465"}, {"ref": "mstsvgram/ensemble-via-autogluon", "kernel_id": "77353307"}, {"ref": "farelarden/backpack-prediction-challenge", "kernel_id": "77409047"}, {"ref": "jimgruman/put-points-on-the-board", "kernel_id": "77194282"}, {"ref": "giri2000/backpack-price-pred3", "kernel_id": "77354243"}, {"ref": "samayashar/backpack-prediction-lightgbm-39-12", "kernel_id": "77434368"}, {"ref": "samayashar/backpack-prediction-lightgbm-39-15", "kernel_id": "77186161"}, {"ref": "varungholap/bagpriceprediction-2", "kernel_id": "77069893"}, {"ref": "nutsuphakit/backpack-linear-regression", "kernel_id": "77230575"}, {"ref": "rashidrk/s5e2-te-xgb-cat-lgbm-ensemble", "kernel_id": "77004398"}, {"ref": "satyaprakashshukl/dataprep-eda-backpack", "kernel_id": "77224337"}, {"ref": "chitrakshsingh/backpack-pred-ml", "kernel_id": "77228581"}, {"ref": "bonsoularani/backpack-price-prediction", "kernel_id": "77121091"}, {"ref": "lifelonglearner12/minimal-yet-mighty-lb-39-09508", "kernel_id": "77352621"}, {"ref": "chaknithbin/lb-39-127-lightgbm-extra-data-hyperparameter", "kernel_id": "77175765"}, {"ref": "juliasemenuk/backpack-prediction-challenge-simplest-baseline", "kernel_id": "77326878"}, {"ref": "wiktormakowski/backpack-xgb-feature-encoding", "kernel_id": "77294387"}, {"ref": "lekhatopil/backpack-price-prediction-eda-lightgbm", "kernel_id": "77128823"}, {"ref": "vivekunni413/first-code", "kernel_id": "77372267"}, {"ref": "miestomeska/original-data-for-cv-boost-and-lb-boost-test", "kernel_id": "77261824"}, {"ref": "miestomeska/backpack-prediction-challenge-eda-model-train", "kernel_id": "77399673"}, {"ref": "dimansinghahirwar/backpack-prediction-challenge-using-mlib", "kernel_id": "77508444"}, {"ref": "udaykumarvastrad/backpackprice-prediction-xgb-lgb", "kernel_id": "77364290"}, {"ref": "zhalehalipour/backpack-xgboost", "kernel_id": "77242467"}, {"ref": "roopalshakya/backpack-prediction-challenge-lgb", "kernel_id": "77190062"}, {"ref": "swoyam2609/backpack-regression-neural-network", "kernel_id": "77467742"}, {"ref": "swoyam2609/backpack-regression-knn-regressor", "kernel_id": "77579130"}, {"ref": "osmantekdamar/filling-data", "kernel_id": "77126616"}, {"ref": "garrickchinnis/backpackprediction-xgboost", "kernel_id": "77335712"}, {"ref": "sonualexantony/backpack-prediction-challenge-competition", "kernel_id": "77025788"}, {"ref": "huthayfahodeb/rainfall-extratree-the-ultimate-guide", "kernel_id": "77803296"}, {"ref": "saniya2001/beginner-backpack-prediction-using-xgboost", "kernel_id": "77600678"}, {"ref": "francescoalbanesephd/s5e2-backpack-prediction-keras-dnn", "kernel_id": "77233572"}, {"ref": "xiejinfeng5/xgb-lgbm-optuna-params-tunning-early-stopping", "kernel_id": "77019926"}, {"ref": "amirjabari/backpack-price-prediction-challenge-competition", "kernel_id": "77385873"}, {"ref": "nikita7364777/5-02-lb-38-92-xgbregressor-optuna-with-origdate", "kernel_id": "77453430"}, {"ref": "tushargandhi77/backpack-prediction", "kernel_id": "77502131"}, {"ref": "mohammadhmozafary/neural-networks-backpack-competition", "kernel_id": "77617954"}, {"ref": "sanadalali/xgboost-backpack-rmse-39-11", "kernel_id": "77600685"}, {"ref": "engineerfrabbi/backpack-prediction-challenge", "kernel_id": "77228963"}, {"ref": "curtiscoding1/s5e2-fast-ai-nn-baseline-setup", "kernel_id": "77449505"}, {"ref": "sofianechehboune/backpack-prediction-challenge-lgbm-xgbregress", "kernel_id": "77402996"}, {"ref": "ulrikeherold/backpackpredictionchallenge", "kernel_id": "77472663"}, {"ref": "sdeogade/backpack-hyperparameter-tuning", "kernel_id": "77330517"}, {"ref": "sirvana/amin-dslanders", "kernel_id": "77607060"}, {"ref": "michaelifebrian/backpack-price-prediction", "kernel_id": "77642204"}, {"ref": "abdmental01/rainfall-prediction", "kernel_id": "77682767"}, {"ref": "abdmental01/rainfall-catboost", "kernel_id": "77686068"}, {"ref": "samanyuk/backpack-prediction-ps-s5-e2", "kernel_id": "77116424"}, {"ref": "ris3ab/backpack-eda-regression", "kernel_id": "77206674"}, {"ref": "sulaniishara/eda-lgbm-predicting-backpack-prices", "kernel_id": "77354984"}, {"ref": "sarunpm/rapids-cuml-xgb", "kernel_id": "77291879"}, {"ref": "sarunpm/backpack-performance-of-public-notebooks", "kernel_id": "77545706"}, {"ref": "aradhanahirapara/eda-linear-regression", "kernel_id": "77406513"}, {"ref": "alikalwar/backpack-price-prediction-gold-medal-solution", "kernel_id": "77681377"}, {"ref": "mohameddrabo/backpack-prediction-challenge-lbgm-38-85914", "kernel_id": "77143983"}, {"ref": "electromarine/comp-2-backpack-prediction", "kernel_id": "77573656"}, {"ref": "krrishcoder/commmon-code", "kernel_id": "77394687"}, {"ref": "brianolave/backpack-challenge", "kernel_id": "77425492"}, {"ref": "brianolave/backpack-challenge-notebook", "kernel_id": "77424883"}, {"ref": "jacoblazaar/competition-notebook-2", "kernel_id": "77384229"}, {"ref": "jacoblazaar/competition-notebook", "kernel_id": "77384999"}, {"ref": "quannguyen0501/xgboostv2", "kernel_id": "77196345"}, {"ref": "izioh79/backpack-prediction-comp", "kernel_id": "77454636"}, {"ref": "deepali2510/bagpack-prediction", "kernel_id": "77027458"}, {"ref": "harshkumar18999/bagpack-price-prediction", "kernel_id": "77701932"}, {"ref": "deepanshujoshi3012/good-data-processing", "kernel_id": "77056955"}, {"ref": "ayoubstudentkorichi/xgboost-in-cuda-38-67-private", "kernel_id": "77624339"}, {"ref": "karuna2k/backpackprediction-5-ml-methods", "kernel_id": "77675150"}, {"ref": "architty108/bagpack-data-prerocessing", "kernel_id": "77020966"}, {"ref": "architty108/bagpack-which-model-best-for-it", "kernel_id": "77079692"}, {"ref": "vktsyp/keras-dnn-backpack-prediction-challenge", "kernel_id": "77115587"}, {"ref": "reason2alive/backpack-price-prediction-v-2", "kernel_id": "77201955"}, {"ref": "yrmoore/final-backpack", "kernel_id": "77690239"}, {"ref": "tatianak1991/backpack-prediction-xgb-lgb-nn", "kernel_id": "77829842"}, {"ref": "kuluaparna/backpack-prediction-using-linear-regression", "kernel_id": "77279791"}, {"ref": "japjotsinghbhatia/code-backpack-prediction-brainy-brunch-3", "kernel_id": "77301122"}, {"ref": "owaisraza06/backpack-price-prediction", "kernel_id": "77619739"}, {"ref": "ishitgehlot/bag-price-prediction", "kernel_id": "77173634"}, {"ref": "nishita76/backpack-price-prediction-xgboost", "kernel_id": "77066768"}, {"ref": "sarkarsagar/backpack-prediction", "kernel_id": "77311946"}, {"ref": "eraakash/weird-code", "kernel_id": "77382472"}, {"ref": "moridata/dnn-score-38-69781", "kernel_id": "77603589"}, {"ref": "alinteodorbratu/backpack-best-model-identifier", "kernel_id": "77049355"}, {"ref": "alinteodorbratu/testing-the-same-backpack-in-the-dataset", "kernel_id": "77205430"}, {"ref": "supermeedoo/backpack-prediction", "kernel_id": "77268453"}, {"ref": "berkereryilmaz/backpack-prediction-lightgbm", "kernel_id": "77487869"}, {"ref": "ibrahimnibrahim/backpack-prediction-39-1-score", "kernel_id": "77085263"}, {"ref": "fathimanafreeza/ann-backpack-prediction-challenge", "kernel_id": "77174208"}, {"ref": "xiongxiao1/backpack-price-prediction-spbu", "kernel_id": "77906107"}, {"ref": "kushubhai/notebookb59edd4e71", "kernel_id": "77111188"}, {"ref": "aashuraj001/backpack-prediction-challenge-aashu", "kernel_id": "77264569"}, {"ref": "scarletgg25/bagpack-training-model", "kernel_id": "77369201"}, {"ref": "arjungirish05/backpack-prediction", "kernel_id": "77171250"}, {"ref": "nisithruwanpura/ci-nisith", "kernel_id": "77166753"}, {"ref": "quezaltendes/backpack-s5e2-xgboost-with-optuna", "kernel_id": "77527064"}, {"ref": "quezaltendes/backpack-neural-network-using-pytorch-eda", "kernel_id": "77179652"}, {"ref": "quezaltendes/backpack-s5e2-lightgbm-with-optuna", "kernel_id": "77208022"}, {"ref": "kubraterz/backpack-prediction", "kernel_id": "77380635"}, {"ref": "hanzeruiooo/simple-and-easy-to-understand-voting-strategy", "kernel_id": "77345697"}, {"ref": "hanzeruiooo/breakthrough-rmse-38-84922", "kernel_id": "77084012"}, {"ref": "alaaharb7/backpack-eda-dnn-model", "kernel_id": "77185478"}, {"ref": "datascientistarpan/bag-price-prediction-challenge", "kernel_id": "77617412"}, {"ref": "rishiiiiii0099/entire-process-for-backpack-challenge", "kernel_id": "77360197"}, {"ref": "mahimagarwal18/bagpack-prediction-mahim", "kernel_id": "77968344"}, {"ref": "ozellpaukert/backpack-prediction-01-simple-tree-baseline", "kernel_id": "77373335"}, {"ref": "olaflundstrom/backpack-price-prediction-challenge-s5e2", "kernel_id": "77513402"}, {"ref": "olaflundstrom/backpack-prediction-challenge-notebook-v2", "kernel_id": "77507025"}, {"ref": "vnniciusgabriel/backpack-prediction", "kernel_id": "77145292"}, {"ref": "martjm26/eda-100-features-credit-c-deotte-for-starter", "kernel_id": "77389696"}, {"ref": "martjm26/first-attempt-at-stacking-catboost-xgboost", "kernel_id": "77052417"}, {"ref": "surajkumar1432/suraj-12416174", "kernel_id": "77020197"}, {"ref": "itzzrain/prediction1", "kernel_id": "77599566"}, {"ref": "srimari/imputing-proj2", "kernel_id": "77053018"}, {"ref": "constie/backpack-price-prediction", "kernel_id": "77523093"}, {"ref": "fukikonobe/backpack-prediction-challenge", "kernel_id": "77395063"}, {"ref": "dhiraj070/notebook7be7be0cdd", "kernel_id": "77024988"}, {"ref": "dnyandeeph/prediction", "kernel_id": "77024618"}, {"ref": "shubham22122/final", "kernel_id": "77062620"}, {"ref": "siddharth776/backpack-challenge", "kernel_id": "77559377"}, {"ref": "mollhe/backpack-prediction-lr-knn-xgboost", "kernel_id": "77592976"}, {"ref": "kmedoid/backpack", "kernel_id": "77382882"}, {"ref": "vmyapps/predicci-n-mochila-javier-martin", "kernel_id": "77443776"}, {"ref": "kalloljoardar/memory-optimization-backpack-prediction-challenge", "kernel_id": "77852216"}, {"ref": "mamkwebu/backpak-challenge", "kernel_id": "78393267"}, {"ref": "mboejua/backpack-prediction-challenge", "kernel_id": "78583067"}, {"ref": "ryu123456/backpack-pred", "kernel_id": "78171854"}, {"ref": "khojiakbarburkhononv/backpack-prediction-challenge-xgb-regressor", "kernel_id": "78047921"}, {"ref": "musabs2802/backpack-prediction-challenge", "kernel_id": "78718214"}, {"ref": "kerlosmelad/bags-price-predication", "kernel_id": "78189612"}, {"ref": "nguyenquangthinhus/first-place-single-model-lb-38-81", "kernel_id": "78213020"}, {"ref": "jasongou/backpack-pred-with-ml-framework", "kernel_id": "78272295"}, {"ref": "jasongou/backpack-pred", "kernel_id": "78241738"}, {"ref": "mindyscharpf/packbook", "kernel_id": "78831027"}, {"ref": "lnmson/backpack-prediction", "kernel_id": "78658055"}, {"ref": "eeyldrm/backpack-project", "kernel_id": "78189259"}, {"ref": "mesutbagl/backpack-prediction-challenge", "kernel_id": "78829535"}, {"ref": "vanessailuti/ki-backpack", "kernel_id": "78290190"}, {"ref": "rarespopa10/backpack-besseres-model-popa-rares", "kernel_id": "78618197"}, {"ref": "rarespopa10/backpack-baseline-popa-rares", "kernel_id": "78617430"}, {"ref": "anakog/backpack-baseline", "kernel_id": "78058718"}, {"ref": "vcheque/competition", "kernel_id": "79868179"}, {"ref": "arnrob/backpack-pred-challenge-where-s-the-signal", "kernel_id": "79383814"}, {"ref": "satyaprakashshukl/predict-podcast-listening-time", "kernel_id": "79922517"}, {"ref": "nikitav0608/backpack-price-prediction-eda-beginner", "kernel_id": "79636511"}, {"ref": "brunoflausino/flausino-backpack-predicion", "kernel_id": "79511920"}, {"ref": "roberteminovici/backpack-price-prediction", "kernel_id": "79615299"}, {"ref": "katedao58/kate-backpack", "kernel_id": "79522617"}, {"ref": "emilcollu/backpack-price-prediction-stacking-models", "kernel_id": "79027071"}, {"ref": "rachelross1/submission-1", "kernel_id": "79630227"}, {"ref": "gauravkumar8888/back-pack-prediction-sunday-23-feb", "kernel_id": "79158614"}, {"ref": "icomert/backpack-price-prediction-deep-learning", "kernel_id": "79231489"}, {"ref": "teanicola/backpack-besseres-modell-nt", "kernel_id": "79083973"}, {"ref": "teanicola/backpack-linearregression-modell-nt", "kernel_id": "79032484"}, {"ref": "arthurhoreanu/baseline-linearregression", "kernel_id": "79632839"}, {"ref": "payal156/backpack-prediction-challenge-using-gpus", "kernel_id": "79151220"}, {"ref": "saeed1507100/backpack-prediction", "kernel_id": "80502895"}, {"ref": "catadanna/optuna-nn-s5e4", "kernel_id": "80205598"}, {"ref": "purinutpolasanano/autogluon-for-backpack-prediction", "kernel_id": "80298839"}, {"ref": "palvinder2006/bagpack-prediction", "kernel_id": "80995128"}, {"ref": "ugurcan95/backpack-price-prediction", "kernel_id": "80864074"}, {"ref": "andreiblaj/blajandreibaseline", "kernel_id": "80924029"}, {"ref": "pelintufekci/backpack-prediction", "kernel_id": "81109855"}, {"ref": "wendychengin/backpack-prediction-with-stacking", "kernel_id": "81800908"}, {"ref": "moldovangabrielilie/basicdatanotebook", "kernel_id": "81991275"}, {"ref": "philippgyarmati/backpack-baseline", "kernel_id": "81764456"}, {"ref": "philippgyarmati/backpack-verbessert", "kernel_id": "81767824"}, {"ref": "denisecrisan/backpack", "kernel_id": "81920474"}, {"ref": "mirunamarginean/backpackpredictionai", "kernel_id": "81920428"}, {"ref": "josephineboampong/backpack-prediction-challenge", "kernel_id": "82367219"}, {"ref": "cosminalexandruoprea/cosmin-alexandru-oprea", "kernel_id": "82766008"}, {"ref": "rahularya18/first-place-single-model-lb-38-81", "kernel_id": "82442160"}, {"ref": "mitroistefan/notebook3223452-mitroi-stefan", "kernel_id": "82792428"}, {"ref": "mitroistefan/notebook27da2c5fc2", "kernel_id": "82961250"}, {"ref": "mitroistefan/notebook1e30560c84", "kernel_id": "82959259"}, {"ref": "raulmarginean1/notebookcc27b5cd47", "kernel_id": "82672599"}, {"ref": "payalkumari56/playground-series-payal-kumari", "kernel_id": "82196973"}, {"ref": "brandeissugam/assignment-5-sugam-neupane", "kernel_id": "82204276"}, {"ref": "andrafecske/backpack-prediction-baseline", "kernel_id": "82964917"}, {"ref": "andrafecske/backpack-improved", "kernel_id": "82968582"}, {"ref": "rayxiong1005/back-pack-prediction-ray", "kernel_id": "82206611"}, {"ref": "longtaochen/playground-ensemble-tech", "kernel_id": "82195697"}, {"ref": "longtaochen/playground-ensemble", "kernel_id": "82198429"}, {"ref": "moldovangabrielilie/advancednotebook", "kernel_id": "82186549"}, {"ref": "andreimagurean/notebook1653332ecb", "kernel_id": "82685973"}, {"ref": "andreimagurean/notebookf5dcabe6b7", "kernel_id": "82696770"}, {"ref": "alexgorgan/backpack-prediction", "kernel_id": "82111273"}, {"ref": "petermiheller/backpack-prediction-miheller", "kernel_id": "82610756"}, {"ref": "pauldima/notebookbc697784b1", "kernel_id": "82619481"}, {"ref": "denisecrisan/verbessertebackpack", "kernel_id": "82035944"}, {"ref": "alexandraolah/backpackpredictionfinal", "kernel_id": "82038641"}, {"ref": "anakog/improved-model", "kernel_id": "82686315"}, {"ref": "ssaraszabo/ai-hausaufgabe-backpack-prediction-projekt", "kernel_id": "82809028"}, {"ref": "cristinatincu7/backpackprediction-baseline", "kernel_id": "82974446"}, {"ref": "cristinatincu7/backpackprediction-improved", "kernel_id": "82976562"}, {"ref": "cristinatincu7/backpackprediction-improved2", "kernel_id": "82978913"}, {"ref": "alexandrabercu/backpack-prediction-improved", "kernel_id": "82970444"}, {"ref": "alexandrabercu/backpack-prediction-baseline", "kernel_id": "82969343"}, {"ref": "dariusbolos/backpack-predicion-improved", "kernel_id": "82972110"}, {"ref": "dariusbolos/backpack-predicion-baseline", "kernel_id": "82966405"}, {"ref": "ezzaddeenmofarreh/predict-bag-price-eda", "kernel_id": "83598533"}, {"ref": "mikka4/notebook0bf30ca9b9", "kernel_id": "83286845"}, {"ref": "mikka4/notebookd0e554166f", "kernel_id": "83284393"}, {"ref": "ruhul20/backpack-prediction-ensemble", "kernel_id": "83162830"}, {"ref": "pauliuccalingeorge/backpackprediction-improvedmodel", "kernel_id": "83506176"}, {"ref": "pauliuccalingeorge/backpackprediction-baselinemodel", "kernel_id": "83386736"}, {"ref": "anamariavaicum/baselinemodel", "kernel_id": "83826403"}, {"ref": "anamariavaicum/improvedmodel", "kernel_id": "83827231"}, {"ref": "tudorsarghiuta/baseline-model", "kernel_id": "83322420"}, {"ref": "tudorsarghiuta/improved-model", "kernel_id": "83328309"}, {"ref": "helooohy/backpack-prediction-challenge", "kernel_id": "83884708"}, {"ref": "andreimagurean/xgboost-v1", "kernel_id": "83457363"}, {"ref": "filipchioreanu/notebook548d28a1d1", "kernel_id": "83091353"}, {"ref": "filipchioreanu/notebook62a0dd5985", "kernel_id": "83232246"}, {"ref": "cristianab/notebook21b8133953", "kernel_id": "83411422"}, {"ref": "cristianab/better-version", "kernel_id": "83757413"}, {"ref": "mirunamarginean/backpackpredictionaiverbessert", "kernel_id": "83244208"}, {"ref": "somane/improvedmodel", "kernel_id": "83182250"}, {"ref": "somane/notebookc48d8ba440", "kernel_id": "83174821"}, {"ref": "sorindanci/notebook7d98682157", "kernel_id": "83602376"}, {"ref": "sorindanci/notebook9c8b37f5e0", "kernel_id": "83602821"}, {"ref": "janinevartolomei/backpack-linearregression-modell", "kernel_id": "83729064"}, {"ref": "janinevartolomei/backpack-besseres-modell", "kernel_id": "83733623"}, {"ref": "alexandrapetrea/backpack-baseline", "kernel_id": "83389690"}, {"ref": "alexandrapetrea/backpack-improved", "kernel_id": "83394178"}, {"ref": "ssaraszabo/ai-hausaufgabe-improved-model", "kernel_id": "83801206"}, {"ref": "mihaipruneanu/backpack-prediction-randomforest", "kernel_id": "83661704"}, {"ref": "mihaipruneanu/backpack-prediction-light-gbm", "kernel_id": "83667629"}, {"ref": "denischiriac/backpackprediction-improved", "kernel_id": "83229507"}, {"ref": "denischiriac/backpackprediction-baseline", "kernel_id": "83236731"}, {"ref": "ioanapetre1/backpack-prediction-improved", "kernel_id": "83796212"}, {"ref": "ioanapetre1/backpackprediction-baseline", "kernel_id": "83382560"}, {"ref": "iuliaseicean/backpackprediction1", "kernel_id": "83756814"}, {"ref": "kathrinmm/notebook8e372f0aa5", "kernel_id": "83749468"}, {"ref": "raulchiriac/backpack-improved", "kernel_id": "83800159"}, {"ref": "raulchiriac/backpack-baselinee", "kernel_id": "83799065"}, {"ref": "andreipuscas0/backpack-prediction-baseline", "kernel_id": "83900231"}, {"ref": "andreipuscas0/backpack-better-version", "kernel_id": "83868843"}, {"ref": "gramaandreigabriel/improved-model", "kernel_id": "83860177"}, {"ref": "gramaandreigabriel/baseline-model", "kernel_id": "83829066"}, {"ref": "simonsara/ai-projekt-baseline", "kernel_id": "83965208"}, {"ref": "cosminpilca/notebook7a1f5fc486", "kernel_id": "83971717"}, {"ref": "andreilapadatu/baseline", "kernel_id": "83975947"}, {"ref": "alekseizaitseva/s5e2-lgbm-cross-val", "kernel_id": "84843507"}, {"ref": "birendeepsingh/notebook-backpack-prediction-challenge-gradientb", "kernel_id": "84953268"}, {"ref": "arthurhoreanu/improved-xgboost", "kernel_id": "84065760"}, {"ref": "voinamariaalexia/backpack-prediction-baseline", "kernel_id": "84028862"}, {"ref": "voinamariaalexia/backpack-prediction-bessere-version", "kernel_id": "84030949"}, {"ref": "mlinadumitrescu/uebung-ii", "kernel_id": "84028224"}, {"ref": "mlinadumitrescu/uebung-i", "kernel_id": "84026485"}, {"ref": "victorrusu04/notebooke0085c4977", "kernel_id": "84073333"}, {"ref": "victorrusu04/notebook2d8916aa14", "kernel_id": "84031762"}, {"ref": "stefimorcovei/notebooke1cdd61e6f", "kernel_id": "84093220"}, {"ref": "stefimorcovei/notebook0266316862", "kernel_id": "84100543"}, {"ref": "danamatei07/notebook0ead1f51ca", "kernel_id": "84072074"}, {"ref": "danamatei07/notebook4416f9c5cb", "kernel_id": "84070047"}, {"ref": "mihaipruneanu/backpack-prediction-regression", "kernel_id": "84004944"}, {"ref": "simonsara/ai-projekt-improved", "kernel_id": "84018691"}, {"ref": "andreilapadatu/advanced", "kernel_id": "84006460"}, {"ref": "serbancosminn/cosmin-backpacks", "kernel_id": "84098853"}, {"ref": "oguztoy/backpackprediction", "kernel_id": "85519960"}, {"ref": "vedanshtyagi2451/backpack-prediction-challange", "kernel_id": "86635937"}, {"ref": "kaziaishikuzzaman/s5e2-lgbm-cross-val-kazi", "kernel_id": "92013814"}, {"ref": "ashmeet555/backpack-prediction", "kernel_id": "96366942"}, {"ref": "mminbaol/backpack-prediction-challenge", "kernel_id": "98653172"}, {"ref": "vyankateshsirmalwad/llm-te-xgb-randomizedsearchcv-baseline-v1", "kernel_id": "101139628"}, {"ref": "maiernator/xgb-catb-optuna-fe-and-cv", "kernel_id": "103397342"}, {"ref": "handeharmankaya/backpack-price-prediction", "kernel_id": "103279010"}, {"ref": "sevvalclalcebeciolu/backpack-price-prediction", "kernel_id": "109259653"}, {"ref": "ebjdoe/ps-s5e2-backpack-why-your-features-barely-matter", "kernel_id": "113044856"}, {"ref": "evgendvorkin/lightgbm-privat-38-80185-public-39-00625", "kernel_id": "114455884"}, {"ref": "sugiyamasosuke/notebook5837d844d5", "kernel_id": "125775640"}, {"ref": "kumasuke16/notebooke6cc12dc40", "kernel_id": "128320782"}, {"ref": "banyoo/final", "kernel_id": "128447494"}, {"ref": "tsunodasou/notebook10c1fb0960", "kernel_id": "128443115"}, {"ref": "kimuraharuki/notebook9f464997fc", "kernel_id": "128448825"}, {"ref": "banami/notebookcdcf130269", "kernel_id": "128448170"}, {"ref": "zqx960151285/backpack-prediction-challenge", "kernel_id": "129536177"}]}
{"competition_id": "90310", "kernels": []}
{"competition_id": "90316", "kernels": [{"ref": "amrshaarawy/yolo11-segment-anything-1-also-yolo11-seg", "kernel_id": "73293816"}, {"ref": "nadaelrefaay/notebookde6cf7fc72", "kernel_id": "73901861"}, {"ref": "nourhanmohamed2001/notebookddcb42947d", "kernel_id": "73968827"}, {"ref": "nourhanmohamed2001/notebook5357567324", "kernel_id": "73958890"}, {"ref": "michaelhany3/multiclass-semantic-segmentation-using-segformer", "kernel_id": "74024470"}, {"ref": "yousefzaghloul/notebook9e6d129e79", "kernel_id": "74007682"}, {"ref": "ammarsabbah/yarab-ana-t3bt", "kernel_id": "74037821"}, {"ref": "ammarsabbah/final-isa", "kernel_id": "74036307"}, {"ref": "yassenelasfar/multiclass-semantic-segmentation", "kernel_id": "76444767"}]}
{"competition_id": "90327", "kernels": []}
{"competition_id": "90360", "kernels": []}
{"competition_id": "90396", "kernels": []}
{"competition_id": "90453", "kernels": []}
{"competition_id": "90456", "kernels": []}
{"competition_id": "90471", "kernels": []}
{"competition_id": "90478", "kernels": []}
{"competition_id": "90488", "kernels": [{"ref": "kumarandatascientist/translate-finetune", "kernel_id": "73539585"}, {"ref": "saadlachhab/start-notebook-rr", "kernel_id": "73272266"}, {"ref": "aminesaihi/sentence-similarity-zero-shot-learning", "kernel_id": "73345268"}, {"ref": "engadamalmohammedi/training-val-submit-model-juridia-hackathon", "kernel_id": "73384330"}, {"ref": "ismailbaztami/start-notebook-rr", "kernel_id": "73416020"}, {"ref": "hassanfiguigui/juridia-hackhaton-relevance-competit", "kernel_id": "73441944"}, {"ref": "yaacine/start-notebook-rr", "kernel_id": "73387382"}, {"ref": "mohammedafkir/afkir-eda-modelbuilding", "kernel_id": "73393202"}, {"ref": "liaichimustapha/juridia-rr", "kernel_id": "73347150"}, {"ref": "imanetag/notebooklast", "kernel_id": "73442992"}, {"ref": "abdelkariim/retrieval-relevance-competition", "kernel_id": "73373615"}, {"ref": "hichamzakroum/eda-rr", "kernel_id": "73345513"}, {"ref": "mustaphaghiati/juridia-hack", "kernel_id": "73434131"}, {"ref": "ayoubaziamimer/juridia-hackathon-retrieval", "kernel_id": "73411695"}, {"ref": "elza10/juridia-competition", "kernel_id": "73390513"}, {"ref": "yassbouh/rr-juridia", "kernel_id": "73344488"}, {"ref": "rajusaipainkra/juridia-hackathon-relevance-of-retrieval", "kernel_id": "73424618"}, {"ref": "omflompooo/jurida-rr", "kernel_id": "73407450"}, {"ref": "raghibifaycal/rr-camembert", "kernel_id": "73343532"}]}
{"competition_id": "90534", "kernels": []}
{"competition_id": "90537", "kernels": []}
{"competition_id": "90544", "kernels": []}
{"competition_id": "90552", "kernels": []}
{"competition_id": "90558", "kernels": []}
{"competition_id": "90560", "kernels": []}
{"competition_id": "90565", "kernels": [{"ref": "annalalik/spr-screening-mammography-recall-dicom-analysis", "kernel_id": "78628826"}]}
{"competition_id": "90566", "kernels": [{"ref": "kmmmvs/00-01-03-cudf-eda", "kernel_id": "65216243"}, {"ref": "mpwolke/adhd-academicperformancequestionnaire", "kernel_id": "74300542"}, {"ref": "icagatta/tabpfn-mrmr", "kernel_id": "74525505"}, {"ref": "thiagomantuani/wids-2025-baseline", "kernel_id": "74283115"}, {"ref": "jocelyndumlao/wids-datathon-2025-baseline-models-insights", "kernel_id": "74431660"}, {"ref": "annibamwenda/wids-datathon-2025", "kernel_id": "74859262"}, {"ref": "ravi20076/wids2025-starter-v1", "kernel_id": "74240668"}, {"ref": "colinbenusa/data-manipulation-with-pandas", "kernel_id": "74632325"}, {"ref": "jsiefken/datathon-2025-model-1", "kernel_id": "74872695"}, {"ref": "andrei0002/df-optimizations", "kernel_id": "74860545"}, {"ref": "trixmixing1ai/notebooke9063b7fdd", "kernel_id": "74832831"}, {"ref": "olaflundstrom/wids-datathon-2025-dtu", "kernel_id": "74265947"}, {"ref": "ionfreeman/data-manipulation-with-pandas", "kernel_id": "75426756"}, {"ref": "dataguy5/wids-datathon-2025-adhd", "kernel_id": "75277018"}, {"ref": "icagatta/lgbm-lr-pipeline", "kernel_id": "75346961"}, {"ref": "icagatta/lazypredict-model-selection", "kernel_id": "75311146"}, {"ref": "shrutivs/wids-datathon-2025", "kernel_id": "75776515"}, {"ref": "phyosandarwin/wids-datathon-25-submission-1", "kernel_id": "75841635"}, {"ref": "nurhatbayda/xgbclassifier", "kernel_id": "75460253"}, {"ref": "olaflundstrom/wids-datathon-2025-adhd-analysis-notebook", "kernel_id": "75261492"}, {"ref": "jessicaluo23/exploring-data", "kernel_id": "75317302"}, {"ref": "baarantess8/1st-notebook-wids-datathon", "kernel_id": "75353748"}, {"ref": "andreakvasnak/wids25-exploration-and-submit", "kernel_id": "76330157"}, {"ref": "colinbenusa/hunky-dory-eda-cjb", "kernel_id": "76084678"}, {"ref": "simranprajapati1/wids-team16-draft", "kernel_id": "76602995"}, {"ref": "jessaminequ/wids25-data-exploration-cleaning-submit", "kernel_id": "76093142"}, {"ref": "marcomascioli/wids25-exploration-and-submit-mm-edit", "kernel_id": "76991610"}, {"ref": "opanichev/wids-2025-baselines", "kernel_id": "77130698"}, {"ref": "opanichev/wids-2025-thiago-s-baseline-with-ones-for-adhd", "kernel_id": "77624393"}, {"ref": "dataguy5/wids-2025-pca", "kernel_id": "77347409"}, {"ref": "chandini/wids-2025-adhd-diagnosis-xgboost", "kernel_id": "77283635"}, {"ref": "reemsoliman/reem-wids-predict-adhd-and-gender", "kernel_id": "77023884"}, {"ref": "lanszonar9/first-submission", "kernel_id": "77750048"}, {"ref": "anugarania/wids-2025-eda-modeling-workshop-atx-ny", "kernel_id": "77155835"}, {"ref": "mehreent/mehreen-s-notebook", "kernel_id": "77599177"}, {"ref": "lennarthaupts/wids-predicting-adhd-in-women", "kernel_id": "77714424"}, {"ref": "andreakvasnak/connectomes-explored", "kernel_id": "77750610"}, {"ref": "jaimeenv/notebook3265281d9a", "kernel_id": "77142615"}, {"ref": "zhaoyufan98/wids-predicting-adhd-in-women", "kernel_id": "77884725"}, {"ref": "muratyilldiz/wids-yildiz", "kernel_id": "77516738"}, {"ref": "mugwewaithaka/wids-2025-eda", "kernel_id": "77809178"}, {"ref": "jonwibowo/xgb-adhd-only", "kernel_id": "77491913"}, {"ref": "jess762/lightgbm-team-teamporal-lobe", "kernel_id": "77266515"}, {"ref": "bofamcaba6/wids-adhd-data-explore", "kernel_id": "77390314"}, {"ref": "tudorandreiradulescu/wids-datathon-2025-ase-dynamic-space", "kernel_id": "77803956"}, {"ref": "watsonstudio/connectomes-data-and-modeling-techniques", "kernel_id": "78159280"}, {"ref": "ashe23/pca-implementation", "kernel_id": "78320900"}, {"ref": "programurlife/wids-2025-ensemble-voting-workshop-atx-nyc", "kernel_id": "78182920"}, {"ref": "giuliobenedetti/juicyutils", "kernel_id": "78834265"}, {"ref": "strike1111/part-0-eda", "kernel_id": "78284322"}, {"ref": "sarahasan17/wids-submission", "kernel_id": "78834209"}, {"ref": "andreakvasnak/xgboost-with-feature-selection-individual-models", "kernel_id": "78245630"}, {"ref": "rohandsilva758/wids-predicting-adhd-in-women-version-2", "kernel_id": "78579186"}, {"ref": "arnaaimysheva/juicy-league", "kernel_id": "78186829"}, {"ref": "vaishnavidesai345/wids-datathon-2025", "kernel_id": "78040214"}, {"ref": "garrickchinnis/xgboost-wids-datathon-2025", "kernel_id": "78953903"}, {"ref": "maliniroopram/wids-2025-datathon", "kernel_id": "78323928"}, {"ref": "iamnotindangerskyler/xgboost-ridge-ensemble-for-adhd", "kernel_id": "78321564"}, {"ref": "mugwewaithaka/wids-2025-eda-and-modeling-use-k-groups", "kernel_id": "78372666"}, {"ref": "rohankuckian2/wids-exploration", "kernel_id": "78776087"}, {"ref": "berrylyte/wids-datathon-2025", "kernel_id": "78912115"}, {"ref": "feifeili1003/aenet-classifier", "kernel_id": "79898203"}, {"ref": "tarundirector/adhd-pred-cv-0-83-detailed-eda-modelling", "kernel_id": "79899311"}, {"ref": "huanyanlim/wids-datathon-2025-adhd-prediction", "kernel_id": "79017969"}, {"ref": "jonwibowo/log-regression", "kernel_id": "79193067"}, {"ref": "chandini/genai-capstone", "kernel_id": "80668569"}, {"ref": "sklasfeld/widsdatathon2025-eda-sjk", "kernel_id": "80724649"}, {"ref": "mustkaang/schaefer200-atlas-roi-points-3d-visualization", "kernel_id": "80366669"}, {"ref": "sujay23772/notebookaedc7a619d", "kernel_id": "80593734"}, {"ref": "thaibach/fairgms-examples", "kernel_id": "80072295"}, {"ref": "jonathanzambrano1/borrador", "kernel_id": "80305962"}, {"ref": "mainguynhuynh/dna-team", "kernel_id": "80669275"}, {"ref": "nqdd158/wids-datathon-2025", "kernel_id": "80225521"}, {"ref": "umarkancharla/notebook12-uma", "kernel_id": "80801229"}, {"ref": "pmanonmani/wids-datathon-2025-manonmani-palanichamy", "kernel_id": "80298865"}, {"ref": "lwy517/notebook09c5a9fa30", "kernel_id": "80313870"}, {"ref": "chandini/adhd-diagnosis-neural-network", "kernel_id": "81805898"}, {"ref": "sklasfeld/deep-learning-notebook-datarain", "kernel_id": "81951449"}, {"ref": "pjibben/filtered-data-and-resampled", "kernel_id": "81940592"}, {"ref": "hadi963/adhd-outcome", "kernel_id": "81727444"}, {"ref": "ranyaz/wids2025-recc-team", "kernel_id": "81818397"}, {"ref": "zahraabareq/wids-datathon-2025", "kernel_id": "81605955"}, {"ref": "rahulladhani/wids-2025-brain-based-predictions", "kernel_id": "81431116"}, {"ref": "sophiapessoa/wids-datathon-2025", "kernel_id": "81656864"}, {"ref": "lujainyouseff/wids-datathon-2025-day2", "kernel_id": "81725792"}, {"ref": "lujainyouseff/wids-datathon-2025-day1", "kernel_id": "81665756"}, {"ref": "lujainyouseff/notebookb4d11ed69b", "kernel_id": "81782027"}, {"ref": "muratyilldiz/wids-yildiz4", "kernel_id": "81521305"}, {"ref": "aleksbaran/wids-datathon2025-neuronerds", "kernel_id": "81942155"}, {"ref": "jonnathanberrezueta/modelorandomv6", "kernel_id": "81860903"}, {"ref": "mugwewaithaka/notebook36201769b8", "kernel_id": "81943169"}, {"ref": "mugwewaithaka/wids-akili", "kernel_id": "81949695"}, {"ref": "alperugurca/random002", "kernel_id": "81851183"}, {"ref": "rafaelaschroeder/notebook7bd15689ee", "kernel_id": "81598463"}, {"ref": "amruthanma/notebook54868a8423-06818b-8512e5", "kernel_id": "81776536"}, {"ref": "umarkancharla/notebook11-uma", "kernel_id": "81015138"}, {"ref": "nguyennguyen599/data-parquet", "kernel_id": "81836020"}, {"ref": "pmanonmani/wids-datathon-2025-manonmani-palanichamy-v1", "kernel_id": "81250948"}, {"ref": "monishadhirmalani/wids-datathon-2025-exploration-and-nn", "kernel_id": "81664702"}, {"ref": "monishadhirmalani/wids-datathon-2025-exploration-gradientboost", "kernel_id": "81662857"}, {"ref": "mawuqian/full-stack-adhd-classifier-ml-dl-graph-learnin", "kernel_id": "81241105"}, {"ref": "bofamcaba6/wids-datathon-2025-v6", "kernel_id": "81725283"}, {"ref": "bofamcaba6/wids-datathon-2025-v5", "kernel_id": "81668801"}, {"ref": "poojagupta60/adhd-predictor-pooja", "kernel_id": "81887268"}, {"ref": "youssefyassereloraby/last-tweaks", "kernel_id": "81933921"}, {"ref": "amy565/notebook8384e3a1b1", "kernel_id": "81207660"}, {"ref": "nsahuastro/wids2025-curiouswomen-xgboost", "kernel_id": "81929230"}, {"ref": "nsahuastro/wids2025-curiouswomen-dnn-torch", "kernel_id": "81940707"}, {"ref": "watsonstudio/wids-2025-13th-place-solution", "kernel_id": "82291396"}, {"ref": "gianinamariapetrascu/wids-2025-5th-place-solution", "kernel_id": "82512940"}, {"ref": "quinn3111993/adhd-sex-prediction-simple-ml-models-utimization", "kernel_id": "82497716"}, {"ref": "eegr81/wids-datathon-2025", "kernel_id": "82848874"}, {"ref": "teodorgorghe/wids-2025-11th-place-solution", "kernel_id": "82354427"}, {"ref": "nguyennguyen599/wids-2025-1st-place-solution", "kernel_id": "82067846"}, {"ref": "ayeshamaniyar26/wids-datathon-top-student-team", "kernel_id": "82873045"}, {"ref": "abdallahshhadat/wids-datathon-2025-second-student-team", "kernel_id": "83329035"}, {"ref": "kseniiaaver/wids-2025-adhd-gender-classification-xgboost", "kernel_id": "83920911"}, {"ref": "ywuling/wids-datathon-2025-adhd-analysis-notebook", "kernel_id": "86952774"}, {"ref": "ywuling/wids-datathon-2025-adhd-analysis-writeup", "kernel_id": "89569387"}, {"ref": "bikashlimbu303/data-science-final", "kernel_id": "119739285"}, {"ref": "rajatpatil803/notebook44bbbe16a8", "kernel_id": "130729241"}, {"ref": "pattarakornkongwong/wids-adhd-sex-model-journey", "kernel_id": "135247878"}]}
{"competition_id": "90578", "kernels": [{"ref": "kawaharataishi/xgbtune-lgb", "kernel_id": "73389677"}, {"ref": "almabady/air-bnb-pricing-score-80734-3-148-out-of-198", "kernel_id": "79180797"}, {"ref": "emrullahyediyildiz/airbnb-spring-2025", "kernel_id": "89569433"}, {"ref": "xeniapornova/airbnb-prediction", "kernel_id": "106732693"}, {"ref": "ashrafeesa/air-bnb-pricing", "kernel_id": "109382786"}]}
{"competition_id": "90587", "kernels": []}
{"competition_id": "90596", "kernels": [{"ref": "evemrichardson/trv-inference", "kernel_id": "78264730"}, {"ref": "samuelchagas/str-info-ml-v2", "kernel_id": "79164631"}, {"ref": "kimkiyeont/immrep25-tcr-specificity-prediction-challenge", "kernel_id": "134730236"}]}
{"competition_id": "90615", "kernels": [{"ref": "ramjasmaurya/rag-baseline", "kernel_id": "72816551"}, {"ref": "saadlachhab/start-notebook-fll", "kernel_id": "73274767"}, {"ref": "hamzaidrissi/start-notebook-fll", "kernel_id": "73345845"}, {"ref": "nabilkannane/fine-tuning-llm-juridia", "kernel_id": "73486430"}, {"ref": "omarlamine/notebook-ft", "kernel_id": "73344158"}, {"ref": "hichamlahcn/start-notebook-fll", "kernel_id": "73343486"}, {"ref": "sanaaswitch/juridia-finetune-llama3-1-8b-instruct", "kernel_id": "73345420"}, {"ref": "mouadenna/juridia-hackathon-fine-tuning", "kernel_id": "73390212"}, {"ref": "mouadenna/submission-notebook-juridia", "kernel_id": "73421594"}, {"ref": "abdessamadakharaz/fine-tuning-llm", "kernel_id": "73348656"}, {"ref": "hossamelmrabti/legal-document-classification-with-bert", "kernel_id": "73453655"}, {"ref": "raghibifaycal/fine-tuning-llm", "kernel_id": "73397198"}, {"ref": "oumniamallahi/start-notebook-fll", "kernel_id": "73347998"}, {"ref": "elgharbaouiwissam/simple-chat-bot", "kernel_id": "73380844"}, {"ref": "lavnialouise/notebook-fine-tuning-juridia", "kernel_id": "75431408"}]}
{"competition_id": "90616", "kernels": [{"ref": "saadlachhab/start-notebook-trl", "kernel_id": "73274431"}, {"ref": "ramjasmaurya/llm-baseline", "kernel_id": "73545523"}, {"ref": "mouadbarras/fine-tuning-translation-model-data-sampled", "kernel_id": "73557422"}, {"ref": "mouadbarras/fine-tuning-translation-model-underprocessing", "kernel_id": "73547459"}, {"ref": "ghassenbennacer/peft-fine-tunning-translation-task", "kernel_id": "73484944"}, {"ref": "khalidlemoude/your-starting-point-just-run-it-and-wait", "kernel_id": "73347087"}, {"ref": "khalidlemoude/understanding-and-processing-your-train-data", "kernel_id": "73428390"}, {"ref": "khalidlemoude/testing-marianmt-pre-trained-model-with-a-3kb-csv", "kernel_id": "73417647"}, {"ref": "harshitakumari256/juridian-competition", "kernel_id": "73545447"}, {"ref": "doxuancanh/fine-tuning-tm", "kernel_id": "73381739"}, {"ref": "rajusaipainkra/juridia-hackathon-fine-tuning-translation-model", "kernel_id": "73522455"}, {"ref": "vqakaggle/notebookf1415d0c62", "kernel_id": "73419143"}, {"ref": "raghibifaycal/fine-tuning-translation", "kernel_id": "73397172"}, {"ref": "baibhavkundu2005/translation-model", "kernel_id": "73471962"}]}
{"competition_id": "90620", "kernels": []}
{"competition_id": "90625", "kernels": []}
{"competition_id": "90638", "kernels": [{"ref": "bebrahim/getting-started-and-benchmark-solution", "kernel_id": "73542737"}, {"ref": "zhuoranli083/2025-reds", "kernel_id": "74063708"}, {"ref": "peterculley/2025-cin-reds-hackathon-notebook-dynamic-duo", "kernel_id": "74821526"}, {"ref": "wjones3668/cincinnati-reds-hackathon-2025", "kernel_id": "75216331"}, {"ref": "brettcerenzio/team-cerenzio-notebook", "kernel_id": "75960023"}, {"ref": "etiennebusnel/fordham-sports-analytics", "kernel_id": "76818174"}, {"ref": "etiennebusnel/fordham-sports-analytics-final", "kernel_id": "76870166"}, {"ref": "haydenorenstein/syracuse-aa-cm-ho", "kernel_id": "76685207"}, {"ref": "almona/david-almona-cincinnati-reds-hackathon", "kernel_id": "76681127"}, {"ref": "sebastiankirkpatrick/blimpbook", "kernel_id": "76812511"}, {"ref": "christophergalgano/villanova-sports-analytics-reds-submission", "kernel_id": "76114875"}, {"ref": "kevinbaer/predicting-future-playing-time", "kernel_id": "76747412"}, {"ref": "buffbuffalo41/cincinnati-reds-hackathon-matthew-reedy", "kernel_id": "76806603"}, {"ref": "nickwolfe2/submission-team-jb-nw-lr-gs-jy", "kernel_id": "76811034"}, {"ref": "conordesmond/conor-desmond-reds-hackathon", "kernel_id": "76801313"}, {"ref": "harrisoncradduck/redsnotebook", "kernel_id": "76799422"}, {"ref": "richardediamond/tufts-team2", "kernel_id": "76804710"}, {"ref": "haydenlee0927/hayden-lee-reds-hackathon-2025", "kernel_id": "76707245"}, {"ref": "dangriff/redshackathon25", "kernel_id": "76808355"}]}
{"competition_id": "90652", "kernels": []}
{"competition_id": "90748", "kernels": [{"ref": "maheejadatla/acme-adaptive-cognitive-memory-engine", "kernel_id": "136118020"}]}
{"competition_id": "90749", "kernels": []}
{"competition_id": "90754", "kernels": []}
{"competition_id": "90755", "kernels": []}
{"competition_id": "90758", "kernels": []}
{"competition_id": "90765", "kernels": [{"ref": "nisarahmedrana/cryptocurrency-price-prediction-using-lstm", "kernel_id": "75999886"}, {"ref": "oluwatobibetiku/coding-challenge", "kernel_id": "82462799"}]}
{"competition_id": "90769", "kernels": [{"ref": "madhusudhananaidu/binaryoracle", "kernel_id": "76469015"}]}
{"competition_id": "90803", "kernels": [{"ref": "lorddiablo74/ecosphere-forecasting-catboostclassifier-0-93954", "kernel_id": "73801493"}, {"ref": "lorddiablo74/ecosphere-forecasting-votingclassifier", "kernel_id": "73946253"}, {"ref": "carlosantambrogio/ecosphere-forecasting-smote-knn", "kernel_id": "73871128"}]}
{"competition_id": "90810", "kernels": []}
{"competition_id": "90815", "kernels": [{"ref": "anaydamledamle/crnn-pt", "kernel_id": "73774844"}, {"ref": "muffinboy/datablitz2", "kernel_id": "73736286"}, {"ref": "muffinboy/datablitz", "kernel_id": "73728105"}, {"ref": "muffinboy/datablitz3", "kernel_id": "73778699"}, {"ref": "bharthee/0-71557-lb-datablitz", "kernel_id": "73911687"}, {"ref": "akhil838/2nd-place-solution", "kernel_id": "74159959"}, {"ref": "samratray05/notebookec5cd26605", "kernel_id": "74327561"}]}
{"competition_id": "90818", "kernels": [{"ref": "abishpius/autogluon-most-generic", "kernel_id": "73641470"}, {"ref": "akebabdelaziz/simple-xgboost", "kernel_id": "73643292"}, {"ref": "pedro2um1dois/sleepy-classfier", "kernel_id": "73640751"}, {"ref": "akhil838/sleep-disorder-prediction-0-362", "kernel_id": "73712363"}]}
{"competition_id": "90822", "kernels": [{"ref": "tndaenel/b-i-t-p-c-nh-n", "kernel_id": "74763297"}]}
{"competition_id": "90828", "kernels": [{"ref": "khoajakilevi/mkhoa", "kernel_id": "73808394"}, {"ref": "nguyenhuy0901/ai-challenge-2025", "kernel_id": "73806655"}, {"ref": "ngnguynkhnhtrng/ph-n-lo-i-cam-nnkt", "kernel_id": "73826314"}, {"ref": "tainenh/orange-classifier", "kernel_id": "73809290"}, {"ref": "lnguynanhnht/orange-classifi-lna-nh-t", "kernel_id": "74526748"}, {"ref": "nguyenthuonggiang/orange-classifier-giang-0322", "kernel_id": "74764643"}, {"ref": "giavi21/vi210804", "kernel_id": "74699788"}, {"ref": "qtish1403/mtqti-n", "kernel_id": "74703710"}, {"ref": "anhtrannhat28/test-orange-efficientnetb03", "kernel_id": "74727954"}, {"ref": "tnganhth/test-orange-classification", "kernel_id": "74693543"}, {"ref": "theait/orange-binary-class", "kernel_id": "113275988"}]}
{"competition_id": "90838", "kernels": [{"ref": "pronobgogoi/eda-competition-ai-in-engineering-education", "kernel_id": "74191731"}, {"ref": "davidms8/ai-in-engineering-education-eda-v1", "kernel_id": "75889687"}]}
{"competition_id": "90847", "kernels": []}
{"competition_id": "90850", "kernels": [{"ref": "yunusemreyldz/eda-xgboost", "kernel_id": "81869290"}, {"ref": "yomnamagedali/liverguard", "kernel_id": "81663796"}]}
{"competition_id": "90853", "kernels": [{"ref": "thiagomantuani/factory-electric-consumption-for-beginners", "kernel_id": "73965508"}, {"ref": "kentak0928/host-baseline-lightgbm-fac-electric-consumption", "kernel_id": "73709017"}, {"ref": "kwbtecon/pofec-eda-lightgbm-optuna", "kernel_id": "73711619"}]}
{"competition_id": "90860", "kernels": [{"ref": "armaanm77/final-model", "kernel_id": "73984670"}, {"ref": "lakshay1584/96-final-pixelplay", "kernel_id": "75337553"}]}
{"competition_id": "90873", "kernels": []}
{"competition_id": "90875", "kernels": []}
{"competition_id": "90896", "kernels": [{"ref": "yashtripathi161999/yash-tripathi-802332084", "kernel_id": "86058768"}, {"ref": "karmansingharora/notebook80f3a56000", "kernel_id": "86031853"}, {"ref": "thegenesis/top-10-solution-notebook-mae-243-08827", "kernel_id": "86211940"}]}
{"competition_id": "90898", "kernels": [{"ref": "abishpius/for-fun-get-1st-place", "kernel_id": "73916327"}]}
{"competition_id": "90906", "kernels": [{"ref": "yunsuxiaozi/podsd2025-demo-submission", "kernel_id": "73845680"}, {"ref": "yunsuxiaozi/podsd2025-yunbase-benchmark", "kernel_id": "74275217"}]}
{"competition_id": "90908", "kernels": []}
{"competition_id": "90920", "kernels": [{"ref": "meruluyamur/telecom-churn", "kernel_id": "120778070"}]}
{"competition_id": "90922", "kernels": [{"ref": "bashithashamila/predict-the-customer-satisfaction-lightgbm", "kernel_id": "74765188"}, {"ref": "sanujisamarakoon/predict-the-customer-satisfaction-cse22", "kernel_id": "74870482"}, {"ref": "nishankavinda/predict-the-customer-satisfaction-cse-22", "kernel_id": "74456826"}, {"ref": "madhushankhadesilva/predict-the-customer-satisfaction-cse-22", "kernel_id": "74332762"}, {"ref": "tasneemmohsenai/customer", "kernel_id": "87627462"}]}
{"competition_id": "90926", "kernels": []}
{"competition_id": "90932", "kernels": [{"ref": "jayakumaranr/data-understanding-pipeline-check-ipynb", "kernel_id": "73944121"}, {"ref": "killa92/kenyan-food-image-data-visualization-analysis", "kernel_id": "87329876"}, {"ref": "musk2025/notebook976cceaef4", "kernel_id": "96404766"}, {"ref": "antonoof/swin-large-model", "kernel_id": "105906571"}]}
{"competition_id": "90995", "kernels": [{"ref": "samarthpujari/bank-churn-dataset-competition", "kernel_id": "74219981"}]}
{"competition_id": "91012", "kernels": [{"ref": "eksulfur/xgboost-for-liver-disease-prediction", "kernel_id": "85085989"}, {"ref": "shenshiyun/notebook358b87f579", "kernel_id": "95356686"}]}
{"competition_id": "91013", "kernels": [{"ref": "abdulrahmanqaten/hepatic-horizon-competition", "kernel_id": "84923827"}, {"ref": "alessandrabilardi/how-to-analyze-multi-class-data-cirrhosis-out", "kernel_id": "90659754"}]}
{"competition_id": "91030", "kernels": [{"ref": "hakimaarroubat/time-series-forecasting-eda", "kernel_id": "76789596"}]}
{"competition_id": "91031", "kernels": [{"ref": "lorddiablo74/big-data-histgradientboostingclassifier", "kernel_id": "74342100"}]}
{"competition_id": "91048", "kernels": [{"ref": "dipayance24b059/convolve-dipayance24b059-iitm", "kernel_id": "74636325"}, {"ref": "sourabhpanwar24/initial-hypothesis-4", "kernel_id": "74619140"}, {"ref": "shubh04khandelwal/lr1234", "kernel_id": "74819370"}, {"ref": "shreyash24324021/dsg-final", "kernel_id": "75137666"}, {"ref": "arushtyagi24115032/notebook75d0e09af0", "kernel_id": "75264151"}]}
{"competition_id": "91066", "kernels": [{"ref": "adityavarshney2005/car-price-prediction-during-inflation", "kernel_id": "74584372"}, {"ref": "harsh83022/used-car-prediction", "kernel_id": "74731972"}, {"ref": "alokbhadauria01/notebook1e376c1a68", "kernel_id": "74584386"}, {"ref": "gabber/ayush2", "kernel_id": "74731753"}]}
{"competition_id": "91084", "kernels": []}
{"competition_id": "91093", "kernels": []}
{"competition_id": "91112", "kernels": []}
{"competition_id": "91128", "kernels": []}
{"competition_id": "91149", "kernels": [{"ref": "vim2718/cifar100-without-convolution", "kernel_id": "74631304"}]}
{"competition_id": "91152", "kernels": []}
{"competition_id": "91172", "kernels": []}
{"competition_id": "91196", "kernels": [{"ref": "picekl/single-modality-baseline-with-bioclimatic-data", "kernel_id": "78384612"}, {"ref": "picekl/single-modality-baseline-with-landsat-data", "kernel_id": "78357139"}, {"ref": "mpwolke/geolifeclef25-maps", "kernel_id": "78918289"}, {"ref": "picekl/sentinel-2-data-processing-and-normalization", "kernel_id": "79231861"}, {"ref": "picekl/single-modality-baseline-with-sentinel-2-data", "kernel_id": "79297631"}, {"ref": "shaileshshettyd/from-pixels-to-petals", "kernel_id": "79253930"}, {"ref": "shaileshshettyd/symphony-of-climate-species", "kernel_id": "79256519"}, {"ref": "dinowun/eda-simplified-geolifeclef-2025-wip", "kernel_id": "79071420"}, {"ref": "endofnight17j03/geolifeclef25-cvpr-lifeclef", "kernel_id": "83208035"}, {"ref": "lonansyayf/2025-model-geolifeclef", "kernel_id": "86494714"}]}
{"competition_id": "91198", "kernels": [{"ref": "weizhezhang/simple-fine-tune-resnext50-32x4d-0-99", "kernel_id": "74793741"}, {"ref": "ucas0v0zhuoqunli/2025wai-vit-image-classification", "kernel_id": "74755344"}, {"ref": "stpeteishii/ai-generated-image-lightning-cnn-w-tpu", "kernel_id": "75450700"}, {"ref": "vyacheslavshen/99-97-lb-baseline-with-timm", "kernel_id": "75041491"}, {"ref": "alivasisari/detect-ai-vs-human-generated-images", "kernel_id": "75125831"}, {"ref": "alexkalita/0-73273-regnet-startpoint-gpu", "kernel_id": "75872644"}, {"ref": "chenboluo/clip-detection", "kernel_id": "75998422"}, {"ref": "aayushiweb/detect-ai-vs-human-generated-images", "kernel_id": "75524245"}, {"ref": "sonalraj1234/detect-ai-vs-human-generated-images", "kernel_id": "75267017"}, {"ref": "gaokui/the-all-ones-hack-for-scores", "kernel_id": "75778621"}, {"ref": "dauban/deep-learning-final-project", "kernel_id": "75412533"}, {"ref": "quentinducoulombier/regnet-classification-score-099949", "kernel_id": "75073355"}, {"ref": "aniruddhmubayi/notebookdaf82a80dd", "kernel_id": "75743140"}, {"ref": "shreyasraghav/image-filter-based-classification-model", "kernel_id": "75057329"}, {"ref": "madhavdhage201/0-73298-convnext-classifier", "kernel_id": "75332209"}, {"ref": "lambarkielallioui/99-97-lb-baseline-with-timm", "kernel_id": "75868661"}, {"ref": "induaggarwal09/99-97-lb-baseline-with-timm", "kernel_id": "75135633"}, {"ref": "amoorytube/pytorch-resnet50", "kernel_id": "76819755"}, {"ref": "chesnikovleonid/ai-detect-pipeline", "kernel_id": "76747808"}, {"ref": "sabyrbazarymbetov/aigi-detection-eda", "kernel_id": "76960310"}, {"ref": "akbkck101/light-weight-model-with-cv-techniques", "kernel_id": "76252960"}, {"ref": "grizmo/regnetcnn", "kernel_id": "76857951"}, {"ref": "lamachiiine/yolo11-test", "kernel_id": "76979681"}, {"ref": "paulnkamau/visualizer-streamlit-ai-vs-human-gen-images", "kernel_id": "76263155"}, {"ref": "udaiveersinghsdjab/efficientnetb0-tensorflow-transfer-learning", "kernel_id": "76715751"}, {"ref": "sivaprakashvlook/ai-human-image-detection-with-ml", "kernel_id": "76879643"}, {"ref": "sangrampatil5150/dctfeatureextractor-last-submission-3", "kernel_id": "76718799"}, {"ref": "dungquang8229/detect-ai-vs-human-generated-images", "kernel_id": "76697845"}, {"ref": "adamrang/resnet50-tensorflow-colab-12-epochs-test", "kernel_id": "76403363"}, {"ref": "adamrang/tensorflow-image-classification-colab", "kernel_id": "76280675"}, {"ref": "lambarkielallioui/notebook2a0380938e", "kernel_id": "76253041"}, {"ref": "andrewxuexd/man-ai-image-classifier", "kernel_id": "76481845"}, {"ref": "haoyuliao14116/detect-ai-vs-human-generated-images-transgpu", "kernel_id": "76632006"}, {"ref": "haoyuliao14116/detect-ai-vs-human-generated-images-tpu-version", "kernel_id": "76635841"}, {"ref": "aozorahime/ai-vs-human-resnet", "kernel_id": "77850188"}, {"ref": "agnesa/resnet18-detect-ai-vs-human-generated-images", "kernel_id": "77058096"}, {"ref": "agnesa/resnet50-detect-ai-vs-human-generated-images", "kernel_id": "77993738"}, {"ref": "jamalsaeedi/vit-image-classification", "kernel_id": "77742061"}, {"ref": "jankowalski2000/xi-team-solution", "kernel_id": "77906571"}, {"ref": "vladalexandruiancu/shutterstockprediction", "kernel_id": "77535818"}, {"ref": "shroukmohamed98/efficienitb3-4", "kernel_id": "77408521"}, {"ref": "shroukmohamed98/sh1-sequential", "kernel_id": "77208603"}, {"ref": "shroukmohamed98/enetb3-2", "kernel_id": "77323366"}, {"ref": "shroukmohamed98/efficientnet-bb3", "kernel_id": "77274695"}, {"ref": "chesnikovleonid/clearly-states-the-problem-domain-ai-vs-human", "kernel_id": "77206445"}, {"ref": "sabyrbazarymbetov/aigi-detection-cnn", "kernel_id": "77030438"}, {"ref": "bakuer30/efficientnet-gpu", "kernel_id": "77594683"}, {"ref": "drabdulbasetaledresi/detect-ai-vs-human-generated-images", "kernel_id": "77206522"}, {"ref": "juniron90/notebookc6242d5983", "kernel_id": "77351567"}, {"ref": "prathapasriharsha/aigi-detection-1", "kernel_id": "77321756"}, {"ref": "zhiyue666/daihgi-train", "kernel_id": "77102520"}, {"ref": "zhiyue666/daihgi-train-trainer", "kernel_id": "77090098"}, {"ref": "renangrothe/classifica-o-bin-ria-de-imagens-geradas-por-ia", "kernel_id": "77251165"}, {"ref": "sarthak24910/best-models-resnets152-and-xgboost", "kernel_id": "77707979"}, {"ref": "sheemamasood/ai-vs-human-final-submission", "kernel_id": "77335085"}, {"ref": "alaay318/efficientnet-gpu", "kernel_id": "77991305"}, {"ref": "nouranmahmoudd/ai-vs-human-generated-images-inceptionv3", "kernel_id": "77751441"}, {"ref": "shiva2416/detect-ai-vs-human-generated-images", "kernel_id": "77210122"}, {"ref": "madhavdhage201/convnext-soil", "kernel_id": "77844831"}, {"ref": "sangrampatil5150/randaugment-submission-2-multi-gpu-train-code", "kernel_id": "77529583"}, {"ref": "sangrampatil5150/advanced-cnn-image-classifier-with-residual-blocks", "kernel_id": "77951830"}, {"ref": "xleepy/notebook1d0ee77c17", "kernel_id": "77108535"}, {"ref": "hanzeruiooo/detect-ai-vs-human-generated-images", "kernel_id": "77275901"}, {"ref": "ranaahmed20/detect-ai-vs-human-generated-images", "kernel_id": "77525822"}, {"ref": "nishanthids/detect-ai-vs-human-generated-images", "kernel_id": "77022535"}, {"ref": "johnnyrobs19/efficientnetlite-squeezenet-and-resnet18-ipynb", "kernel_id": "77417730"}, {"ref": "sarudwivedi15/convexnet-base", "kernel_id": "77964494"}, {"ref": "agnesa/efficientnet-detect-ai-vs-human-generated-images", "kernel_id": "78007512"}, {"ref": "gpch2159/s-lb-0-83404-team-gphw-finalsubmission-v56", "kernel_id": "78165670"}, {"ref": "keakohv/check-for-file-size-influence-in-xi-teams-solution", "kernel_id": "78350587"}, {"ref": "keakohv/genai-image-detection-kea-kohv-solution", "kernel_id": "78367699"}, {"ref": "piyushnaik/vit-transformer-ai-vs-human-generated", "kernel_id": "78090656"}, {"ref": "vtulasim30/conv-attention-blocks", "kernel_id": "78067156"}, {"ref": "brandosi2023/team-peru-final-submission", "kernel_id": "78136540"}, {"ref": "gaokui/best-student-my-simplified-solution", "kernel_id": "78658407"}, {"ref": "nqtus2/notebookef621aa88d", "kernel_id": "78280935"}, {"ref": "eleazarmaru/detect-ai-vs-human-generated-images", "kernel_id": "78124055"}, {"ref": "sarrahhemmadd/detect-ai-vs-human", "kernel_id": "78055489"}, {"ref": "tasneemmohsenai/ai-human", "kernel_id": "78123510"}, {"ref": "hnwongac/lb-0-83404-team-gphw-v56", "kernel_id": "78480102"}, {"ref": "sarudwivedi15/efficientnet", "kernel_id": "78128462"}, {"ref": "swatitripa/convnext-large-swin-transformer", "kernel_id": "78128734"}, {"ref": "akbkck101/fork-of-light-weight-model-with-cv-techniques", "kernel_id": "80613495"}, {"ref": "lambarkielallioui/fire-with-reconstruction", "kernel_id": "80281847"}, {"ref": "loikloikl/0-64-clip-variational-information-bottleneck", "kernel_id": "81715794"}, {"ref": "donganhquan/do-an-ttnt", "kernel_id": "82177284"}, {"ref": "lambarkielallioui/final-submission", "kernel_id": "82618637"}, {"ref": "amersaidi/badr-model", "kernel_id": "82768556"}, {"ref": "pedroooo003/badr-fire", "kernel_id": "82561438"}, {"ref": "thivnsng/do-an-ttnt-ts", "kernel_id": "83312858"}, {"ref": "quinnh16/do-an-ttnt-1", "kernel_id": "83862361"}, {"ref": "jshforedu/mfcode", "kernel_id": "85138750"}, {"ref": "ranaibrahim22/ranaibrahim-basmalaahmed-aigeneratedvshuman", "kernel_id": "86131353"}, {"ref": "hagerelgohari/notebookee7e452cae", "kernel_id": "86995414"}, {"ref": "hananabhan/detect-ai-vs-human-generated-image", "kernel_id": "87551184"}, {"ref": "doniawaelgabal/detect-ai-vs-human-generated-image-resnet50", "kernel_id": "87692533"}, {"ref": "basmalasayed32413/detect-ai-vs-human-generated-image", "kernel_id": "87689626"}, {"ref": "aahamf/detect-ai-vs-human-generated-image-resnet-e30989", "kernel_id": "90867245"}, {"ref": "misterfour/detect-ai-vs-human-generated-images-final", "kernel_id": "91484932"}, {"ref": "madhushankhadesilva/detect-ai-vs-human-generated-images", "kernel_id": "93381305"}, {"ref": "navatharshini/notebook6060fb43ca", "kernel_id": "94624732"}, {"ref": "navatharshini/convnext-large-swin-transformer", "kernel_id": "94867468"}, {"ref": "methmirathnayaka/detect-ai-vs-human-generated-images-final", "kernel_id": "94710580"}, {"ref": "navatharshini/regnet-classification-score-099949", "kernel_id": "95038557"}, {"ref": "piyumidasanayaka1/adl-1", "kernel_id": "97639210"}, {"ref": "sasindurashmina/submission-3", "kernel_id": "102855914"}, {"ref": "najeebhafeel/efficientnet-detect-ai-vs-human-generated-images", "kernel_id": "102811421"}, {"ref": "najeebhafeel/detect-ai-vs-human-generated-images-transg-59ed4c", "kernel_id": "102860017"}, {"ref": "aliaboria/vgg16-standard-model", "kernel_id": "107667781"}, {"ref": "ahmed1harfoush/detect-ai-vs-human-generated-image-resnet-50", "kernel_id": "108437300"}, {"ref": "fatmaabdelfattah/fatma-sub", "kernel_id": "109075030"}, {"ref": "aasirwaseer/ai-vs-human-image-detection", "kernel_id": "115716866"}, {"ref": "mahmoudbadrzidan/ai-vs-human-generated-images-11", "kernel_id": "116947442"}, {"ref": "abdelrhmanalnawawy/ai-vs-human-generated-images-efficientnetv2l", "kernel_id": "119268174"}]}
{"competition_id": "91212", "kernels": []}
{"competition_id": "91249", "kernels": [{"ref": "mpwolke/the-flagellar-motors-inside-us-byu", "kernel_id": "77998955"}, {"ref": "aatiffraz/generating-tomogram-animations", "kernel_id": "77998016"}, {"ref": "zshashz/3d-cnn-with-custom-loss", "kernel_id": "77999637"}, {"ref": "comp8oe/overview-data-jp", "kernel_id": "77996955"}, {"ref": "jacksonpond/demo-notebook", "kernel_id": "77906857"}, {"ref": "andrewjdarley/parse-data", "kernel_id": "77619710"}, {"ref": "andrewjdarley/train-yolo", "kernel_id": "77620494"}, {"ref": "andrewjdarley/visualize-data", "kernel_id": "77620052"}, {"ref": "andrewjdarley/submission-notebook", "kernel_id": "77624190"}, {"ref": "stansy/visualize-data-slices", "kernel_id": "78251510"}, {"ref": "tmyok1984/byu-stratifiedgroupkfold", "kernel_id": "78205777"}, {"ref": "byfone/byu-animation-with-colored-targets", "kernel_id": "78745940"}, {"ref": "kumarandatascientist/lb-0-652-yolov8l-yolov11-ensemble", "kernel_id": "78802362"}, {"ref": "chack3/possible-inconsistencies-in-the-train-labels-csv", "kernel_id": "78173322"}, {"ref": "dschettler8845/byu-1-4-data-processing-let-s-learn-together", "kernel_id": "78324633"}, {"ref": "nivgeron/eda-animation-from-an-ai-agent", "kernel_id": "78374164"}, {"ref": "chemdatafarmer/getting-started-eda-and-visualization", "kernel_id": "78249723"}, {"ref": "rocktopus/cabm2d-byu", "kernel_id": "78808723"}, {"ref": "itsuki9180/byu-animation-visualizer", "kernel_id": "78041589"}, {"ref": "stpeteishii/create-annotation-text-for-bfm-yolo", "kernel_id": "78585829"}, {"ref": "stpeteishii/check-location-of-bfm-in-slice-image", "kernel_id": "78443118"}, {"ref": "stpeteishii/public-image-collection-of-bfms", "kernel_id": "78405263"}, {"ref": "stpeteishii/blended-image-animation", "kernel_id": "78348167"}, {"ref": "gunesevitan/byu-locating-bacterial-flagellar-motors-eda", "kernel_id": "78117082"}, {"ref": "shaileshshettyd/byu-champ", "kernel_id": "78773627"}, {"ref": "strakajk/byu-simple-dataloader", "kernel_id": "78811578"}, {"ref": "hideyukizushi/byu-singleyolov10-map-0-948-f1-0-88-onlyinf-lb-762", "kernel_id": "78623225"}, {"ref": "yannmajewski/byu-resize", "kernel_id": "78010036"}, {"ref": "tom99763/3d-randomcrop-and-class-map-offset", "kernel_id": "78939009"}, {"ref": "welshonionman/eda-aspect-ratio", "kernel_id": "78057710"}, {"ref": "welshonionman/numpy-dataset", "kernel_id": "78036052"}, {"ref": "mxmbgl/notebooked43882dca", "kernel_id": "78384598"}, {"ref": "sergiosaharovskiy/byu-2025-eda-viz-pseudo-leaks", "kernel_id": "78203203"}, {"ref": "boochanggyu/yolo-dcnn-train-weight-is-from-eng-adam-al-moha", "kernel_id": "78915479"}, {"ref": "jocelyndumlao/3d-cnn-analysis-of-tomograms-f-beta-score", "kernel_id": "78015746"}, {"ref": "yylam0/parse-data-byu2025", "kernel_id": "78444095"}, {"ref": "fuegoyagua/notebook855e7bda74", "kernel_id": "78067320"}, {"ref": "andreipaulavets/byu-flagellar-motor-visualization", "kernel_id": "78895108"}, {"ref": "katsuhisamasuda7/byu-understand-metrics", "kernel_id": "78755097"}, {"ref": "engadamalmohammedi/byu-lb-0-642-yolov8l-yolov11-ensemble", "kernel_id": "78774016"}, {"ref": "kawaiicoderuwu/flagella-motor-training", "kernel_id": "78132004"}, {"ref": "danyrimez/parsedata", "kernel_id": "78990755"}, {"ref": "sharifi76/eda-visualization-yolov8", "kernel_id": "78042227"}, {"ref": "simikoon/parse-data-by-koki", "kernel_id": "78352027"}, {"ref": "simikoon/train-yolo-with-preprocessing", "kernel_id": "78283949"}, {"ref": "simikoon/parse-data-and-train-yolo", "kernel_id": "78745602"}, {"ref": "vigneshwar472/eda-and-451-motors-visualized", "kernel_id": "78672963"}, {"ref": "ravaghi/flagellar-motor-detection-1-3-data-preprocessing", "kernel_id": "78950659"}, {"ref": "ravaghi/flagellar-motor-detection-2-3-yolo-training", "kernel_id": "78950661"}, {"ref": "ravaghi/flagellar-motor-detection-3-3-yolo-inference", "kernel_id": "78953361"}, {"ref": "studystuffme/yolo11-training", "kernel_id": "78559769"}, {"ref": "kingkcabir/byu-locator", "kernel_id": "78564976"}, {"ref": "andrewjdarley/byu-biophysics-group-starter", "kernel_id": "78001903"}, {"ref": "andrewjdarley/observing-tomo-6cf2df", "kernel_id": "78975631"}, {"ref": "nguyenquangthinhus/3d-cnn-with-custom-loss", "kernel_id": "78022172"}, {"ref": "linheshen/base-line", "kernel_id": "78085825"}, {"ref": "linheshen/generate-dataset", "kernel_id": "78095138"}, {"ref": "shraddhaborah/tomogram-motor-localization-data-processing-sub", "kernel_id": "78250951"}, {"ref": "rahuljiwane/notebook-bacterial-rahul-jiwane", "kernel_id": "78036566"}, {"ref": "zerolocc/byu-locating-flagellar-model-324", "kernel_id": "78211581"}, {"ref": "tiandaye/byu-visualization", "kernel_id": "79370065"}, {"ref": "junkoda/speed-up-inference", "kernel_id": "79944553"}, {"ref": "ddbrao11/bacterial-flagellar-motors-detection-2025", "kernel_id": "79178301"}, {"ref": "francisganong/simple-yolo-augmentation", "kernel_id": "79519087"}, {"ref": "tom99763/first-idea-to-extract-keypoints-byu", "kernel_id": "79497715"}, {"ref": "iamparadox/where-is-flagellar", "kernel_id": "79283232"}, {"ref": "fautei/brendanartley-extra-data-competition-format", "kernel_id": "79300462"}, {"ref": "fautei/byu-yolo-sahi-submission-notebook", "kernel_id": "79081084"}, {"ref": "fautei/byu-yolo-optimized-submission-notebook", "kernel_id": "79080442"}, {"ref": "brendanartley/flagellar-motors-dataset-code", "kernel_id": "79252375"}, {"ref": "boochanggyu/yolo-dcnn-infer-weight-is-from-eng-adam-al-moha", "kernel_id": "79298017"}, {"ref": "mathieuduverne/pre-processing-training", "kernel_id": "79580493"}, {"ref": "rachpark/byu2025-3d-train", "kernel_id": "79546551"}, {"ref": "rachpark/byu2025-3d-eda", "kernel_id": "79795762"}, {"ref": "starcs2001/starter-dataloading-using-torch", "kernel_id": "79038761"}, {"ref": "andreipaulavets/byu-cryo-et-resources-links-by-phonchi", "kernel_id": "79828329"}, {"ref": "andreipaulavets/byu-denoising-cryo-et-slices", "kernel_id": "79055566"}, {"ref": "andreipaulavets/byu-denoise-gif-in-output", "kernel_id": "79029018"}, {"ref": "andreipaulavets/byu-denoising-cryo-et-with-noise2void", "kernel_id": "79392188"}, {"ref": "sunghoshim/byu-visualize-motors", "kernel_id": "79599295"}, {"ref": "katsuhisamasuda7/byu-eda-train-label", "kernel_id": "79079423"}, {"ref": "dangnh0611/3rd-place-solution-submit", "kernel_id": "79517759"}, {"ref": "mahmoudabdshafy/new-deepbac-motor-finder", "kernel_id": "79124488"}, {"ref": "sambui22022517/parse-data", "kernel_id": "79097577"}, {"ref": "ravaghi/byu-2025-faster-r-cnn-1-2-training", "kernel_id": "79811093"}, {"ref": "i2nfinit3y/byu-coco-dataset", "kernel_id": "79547090"}, {"ref": "i2nfinit3y/byu-mmdetection-centernet-inference", "kernel_id": "79600116"}, {"ref": "i2nfinit3y/byu-mmdetection-centernet-training", "kernel_id": "79549764"}, {"ref": "nicholas33/byu-2-locate-bacterial-flagellar-motors-nb153", "kernel_id": "79094211"}, {"ref": "sangrampatil5150/flagellar-motors-dataset-code", "kernel_id": "79798337"}, {"ref": "sterlingsu/byu-third-submission", "kernel_id": "79662228"}, {"ref": "sterlingsu/byu-third-train", "kernel_id": "79662099"}, {"ref": "sterlingsu/parse-data", "kernel_id": "79657900"}, {"ref": "sterlingsu/byu-third-vis", "kernel_id": "79661306"}, {"ref": "hwangsungi/byu-competition-training-code", "kernel_id": "79260337"}, {"ref": "hwangsungi/byu-training-model", "kernel_id": "79969634"}, {"ref": "shreyansh01m/lb-0-662-yolov8l-yolov11-ensemble", "kernel_id": "79211092"}, {"ref": "ali78kabirzadeh/bactria-competition", "kernel_id": "79505218"}, {"ref": "hengck23/yolo-experiments", "kernel_id": "80697536"}, {"ref": "kumarandatascientist/byu-onlyinf-singleyolov10-map-0-948-88-lb-772", "kernel_id": "80673021"}, {"ref": "pondelion/byu-deim-single-model-inference", "kernel_id": "80351706"}, {"ref": "playwithme/lb0-81-mhafyolo-tta-wbf-submission-notebook", "kernel_id": "80487346"}, {"ref": "rachiteagles/end-to-end-mhaf-with-offline-model-and-pkg", "kernel_id": "80635409"}, {"ref": "tom99763/tomv3-gnn-submission-byu", "kernel_id": "80205238"}, {"ref": "tom99763/gnn-example-byu", "kernel_id": "80052238"}, {"ref": "fautei/byu-yolo-tta-submission-notebook", "kernel_id": "80013382"}, {"ref": "birlinha/label-analysis-binary-and-multinomial", "kernel_id": "80384134"}, {"ref": "rachpark/byu2025-heatmap", "kernel_id": "80756265"}, {"ref": "ravaghi/byu-2025-faster-r-cnn-2-2-inference", "kernel_id": "80352050"}, {"ref": "amritarajput54/byu-deim-single-model-inference", "kernel_id": "80429259"}, {"ref": "mr64891901/multigpu", "kernel_id": "80218006"}, {"ref": "linheshen/5-fold-dataset", "kernel_id": "80836556"}, {"ref": "nikitamanaenkov/flagellar-motors-detection-pytorch", "kernel_id": "80360751"}, {"ref": "yosynory/visualize-yz-zx-slices", "kernel_id": "80266306"}, {"ref": "hwangsungi/byu-data-edit", "kernel_id": "80413674"}, {"ref": "angelus2212/byu-pred", "kernel_id": "80316304"}, {"ref": "matsumotoarcade/hessian-matrix-concept-discrimantes", "kernel_id": "80994441"}, {"ref": "ali78kabirzadeh/bactria-s2", "kernel_id": "80438099"}, {"ref": "hengck23/example-2d-3d-encoder-for-detr-head", "kernel_id": "81218469"}, {"ref": "lijingcheng/deim0426-v3", "kernel_id": "81080353"}, {"ref": "santusrk/phase1-byu", "kernel_id": "81856380"}, {"ref": "santusrk/ultralytics-for-offline-install", "kernel_id": "81941615"}, {"ref": "dragonzhang/byu-deim-single-model-inference-fa1b00", "kernel_id": "81827801"}, {"ref": "dragonzhang/yolo-rtdetr-demo-inference", "kernel_id": "81587527"}, {"ref": "dragonzhang/byu-deim-training-demo", "kernel_id": "81557384"}, {"ref": "dragonzhang/deimkit-offline-infer-demo", "kernel_id": "81462852"}, {"ref": "braxtonowens/submission-notebook", "kernel_id": "81869953"}, {"ref": "braxtonowens/byu-onlyinf-singleyolov10-map-0-948-f1-0-88-lb-762", "kernel_id": "81871992"}, {"ref": "tatamikenn/byu-download-correct-pixel-annomaly", "kernel_id": "81523222"}, {"ref": "yyyy0201/single-mhaf-yolo-m-lb-80-4-no-extra-data", "kernel_id": "81518289"}, {"ref": "sivasankar2012/eda-visualization-yolov8", "kernel_id": "81856932"}, {"ref": "aminekhammessi/byu-eda", "kernel_id": "81705432"}, {"ref": "princelvov/detr-v1", "kernel_id": "81812888"}, {"ref": "ravaghi/flagellar-motor-detection-3-3-rt-detr-inference", "kernel_id": "81615069"}, {"ref": "ravaghi/flagellar-motor-detection-2-3-rt-detr-training", "kernel_id": "81412327"}, {"ref": "windy2233/submission-file", "kernel_id": "81493354"}, {"ref": "belowwindislander/train-attention-yolov8-final", "kernel_id": "81546867"}, {"ref": "kumarandatascientist/lb-0-774-singleyolov10-map-0-948-f1-0-8", "kernel_id": "82592922"}, {"ref": "menghaozhao/byu-mmdetection-centernet-training", "kernel_id": "82827657"}, {"ref": "santusrk/fasterrcnn-approach", "kernel_id": "82573134"}, {"ref": "tom99763/21th-place-solution", "kernel_id": "82045613"}, {"ref": "fautei/byu-monai-wandb-lightning-retinanet-3d-training", "kernel_id": "82069560"}, {"ref": "boochanggyu/modifying-backbone-in-ultralytics", "kernel_id": "82188963"}, {"ref": "solidsea/byu2025-submission-notebook", "kernel_id": "82463529"}, {"ref": "yangxintong1010/2st-claude", "kernel_id": "82251799"}, {"ref": "yangxintong1010/1st-gpu", "kernel_id": "82163020"}, {"ref": "yangxintong1010/notebookcc84ed0569", "kernel_id": "82209784"}, {"ref": "yangxintong1010/4st-updatecsv", "kernel_id": "82595839"}, {"ref": "samasiayushman/ultimate-guides-step-visualization-statistics", "kernel_id": "82535937"}, {"ref": "tanishmohokar09/notebook6a64c9f839", "kernel_id": "82062792"}, {"ref": "hiranorm/let-s-train-yolo-and-compress-train-results", "kernel_id": "82688249"}, {"ref": "hiranorm/let-s-examine-a-motor-and-prepare-training-data", "kernel_id": "82667226"}, {"ref": "hiranorm/let-s-analyze-yolo-train-results-submit", "kernel_id": "82779788"}, {"ref": "cyidian/single-mhaf-yolo-m-lb-80-4-no-extra-data", "kernel_id": "82634762"}, {"ref": "kuzn137/train-yolo", "kernel_id": "83064488"}, {"ref": "samyssmile/sams-data-visualization", "kernel_id": "83519477"}, {"ref": "dedquoc/byu-lbf-motors-2025-yolov8-quick", "kernel_id": "83714973"}, {"ref": "pollicio/ia-cryosignal", "kernel_id": "83485242"}, {"ref": "tom99763/21th-place-solution-yolo11x", "kernel_id": "83601013"}, {"ref": "iamparadox/tensorrtwhl-10-11-0-33", "kernel_id": "83372961"}, {"ref": "tatamikenn/reverse-engineering-yolo", "kernel_id": "83198115"}, {"ref": "tatamikenn/byu-correct-train-tomogram", "kernel_id": "83209486"}, {"ref": "minfuka/byu-yolo-960-inference-fold4-slice-skip-random-v8l", "kernel_id": "83904575"}, {"ref": "sacuscreed/byu-mydepthwisedisc-32x64x64", "kernel_id": "83614166"}, {"ref": "sacuscreed/byu-myvitdisc-64x128x128", "kernel_id": "83632491"}, {"ref": "sacuscreed/byu-myunet2d-512", "kernel_id": "83570582"}, {"ref": "sacuscreed/byu-myunet2d-fp", "kernel_id": "83599948"}, {"ref": "sunghoshim/byu-download-cryoet-dataset-1-4", "kernel_id": "83105639"}, {"ref": "sunghoshim/byu-parse-data-cryoet", "kernel_id": "83133569"}, {"ref": "sunghoshim/byu-parse-data-cryoet-for-test", "kernel_id": "83709044"}, {"ref": "abhinavsharma0706/cryo-lo", "kernel_id": "83303775"}, {"ref": "shivazshu/eda-visualization-yolov8", "kernel_id": "83304104"}, {"ref": "hikaruiwsk/notebook-2d-cnn0521", "kernel_id": "83324169"}, {"ref": "hikaruiwsk/notebookced234e9d5", "kernel_id": "83799556"}, {"ref": "ray03j/byu2025-ray03j-notebook", "kernel_id": "83017774"}, {"ref": "iampratyusht/byu-flagellar", "kernel_id": "83233106"}, {"ref": "mauriciocasarotto/byu-clf-loc-v2", "kernel_id": "83750499"}, {"ref": "accelwastaken/single-mhaf-yolo-m-lb-80-4-no-extra-dat-6d9976", "kernel_id": "83135841"}, {"ref": "accelwastaken/speed-up-inference", "kernel_id": "83184697"}, {"ref": "accelwastaken/byu-yolo-tta-submission-notebook", "kernel_id": "83184738"}, {"ref": "hirotoshisaito/byu-hs-20250523", "kernel_id": "83209395"}, {"ref": "cyidian/fork-of-single-mhaf-yolo-m-lb-80-4-no-extra-da", "kernel_id": "83183860"}, {"ref": "bloodaxe/v20-0-5x-64-96-q55", "kernel_id": "84527328"}, {"ref": "fishman97/flagellar-francesco-pierami-6", "kernel_id": "84450548"}, {"ref": "kirderf/locating-bacterial-flagellar-motors-61-1175-rank", "kernel_id": "84526298"}, {"ref": "brendanartley/byu-1st-place-submission", "kernel_id": "84775064"}, {"ref": "mirenaborisova/byu-yolo-datasets-01", "kernel_id": "84732492"}, {"ref": "mirenaborisova/byu-yolo-infer-01", "kernel_id": "84761643"}, {"ref": "mirenaborisova/byu-yolo-train-01", "kernel_id": "84749099"}, {"ref": "tatsuyayamamoto/byu-a-love-letter-to-3d-u-net-training", "kernel_id": "84491907"}, {"ref": "sacuscreed/byu-myunet2d-resnet34-512", "kernel_id": "84069017"}, {"ref": "sacuscreed/byu-myunet2d-640", "kernel_id": "84043082"}, {"ref": "sacuscreed/byu-mygrudisc-64x128x128", "kernel_id": "84207758"}, {"ref": "sacuscreed/512-byu-general-submission", "kernel_id": "84400364"}, {"ref": "handudu/p1-1-0-65-74d43e", "kernel_id": "84374697"}, {"ref": "engadamalmohammedi/byu-f-submit-ensemble", "kernel_id": "84527303"}, {"ref": "rzatemizel/ensembling-different-yolo-versions", "kernel_id": "84150561"}, {"ref": "yufeiphilipren/mhafyolo-submission-notebook", "kernel_id": "84084772"}, {"ref": "nicholas33/mhafyolo-tta-wbf-nb153", "kernel_id": "84215688"}, {"ref": "frankohlmann/byu-locating-motors-challenge-submission-ee-519", "kernel_id": "84362835"}, {"ref": "linheshen/lb0-81-mhafyolo-tta-wbf-submission-noteboo-30987a", "kernel_id": "84173184"}, {"ref": "shanzhong8/22nd-solution-tta-yolo-ensemblemodel-plb840", "kernel_id": "84143498"}, {"ref": "willongwang/byu-onlyinf-singleyolov10-map-0-948-88-lb-772", "kernel_id": "84373792"}, {"ref": "willongwang/byu-lb0-81-mhafyolo-tta-wbf-submission-notebook", "kernel_id": "84133969"}, {"ref": "willongwang/byu-visualization-yolo-baseline-ipynb", "kernel_id": "84059860"}, {"ref": "willongwang/byu-submission-baseline-ipynb", "kernel_id": "84221977"}, {"ref": "roeiya/vision-transformer", "kernel_id": "84653700"}, {"ref": "zjdbbdbb/heatmap-mask2former-submission", "kernel_id": "84805314"}, {"ref": "st3v3d/2nd-place-submission-notebook-with-checkpoints", "kernel_id": "85256583"}, {"ref": "mirenaborisova/byu-yolo-infer-02", "kernel_id": "85145317"}, {"ref": "mirenaborisova/byu-yolo-train-02", "kernel_id": "85141494"}, {"ref": "zjdbbdbb/heatmap-mask2former-solution", "kernel_id": "85014965"}, {"ref": "risalatlabib/byu-notebook", "kernel_id": "87051099"}, {"ref": "db2003/notebook9d558da02b", "kernel_id": "88307104"}, {"ref": "roeiya/lb0-81-mhafyolo-tta-wbf-submission-notebook", "kernel_id": "88411601"}, {"ref": "roeiya/lb0-81-mhafyolo-tta-wbf-submission-noteboo-6ed36d", "kernel_id": "88411661"}, {"ref": "rajavignesh407/finding-flageller-motors-2", "kernel_id": "90931386"}, {"ref": "rajavignesh407/2d-unet-3", "kernel_id": "92243115"}, {"ref": "nightlife12/flagellar-motor-3d-analysis-mvp", "kernel_id": "96829588"}, {"ref": "bc230209945samreen/byu-locating-bacterial-flagellar-motors-eda", "kernel_id": "96289634"}, {"ref": "anjalisingh065/flagellar-motor-3d-analysis-mvp", "kernel_id": "103181797"}, {"ref": "jirkaborovec/byu-locating-flagellar-motors", "kernel_id": "107044164"}, {"ref": "ugokorubeast/ugoko-byu", "kernel_id": "117547919"}, {"ref": "meetgoti07/train-yolo", "kernel_id": "126582450"}, {"ref": "rajavignesh407/2d-u-net-pytorch", "kernel_id": "127744750"}]}
{"competition_id": "91263", "kernels": []}
{"competition_id": "91281", "kernels": []}
{"competition_id": "91291", "kernels": []}
{"competition_id": "91294", "kernels": []}
{"competition_id": "91296", "kernels": [{"ref": "danipipe777/aa-iv-2025-i-object-localization", "kernel_id": "74878288"}, {"ref": "danipipe777/fa-ii-2025-i-object-localization", "kernel_id": "80315880"}]}
{"competition_id": "91311", "kernels": []}
{"competition_id": "91315", "kernels": [{"ref": "ethicalstar/quora-question-answer-pair-nlp", "kernel_id": "82884455"}]}
{"competition_id": "91328", "kernels": [{"ref": "rohitsalla/code1", "kernel_id": "74983773"}, {"ref": "jhimanshu/sample-generate-vtk", "kernel_id": "74672915"}, {"ref": "jhimanshu/sample-starting-code", "kernel_id": "74659577"}, {"ref": "prathamjyotsingh/fine-tune-llm", "kernel_id": "74942529"}, {"ref": "sajibhalder/sajib-2nd-submission-granite-3-1-1b-a400m-instruct", "kernel_id": "75279324"}, {"ref": "srimanthdhondy/sample-starting-code", "kernel_id": "75003836"}, {"ref": "srimanthdhondy/fork-of-sample-starting-code", "kernel_id": "75261935"}, {"ref": "abhilashravi/final-notebook", "kernel_id": "75244414"}, {"ref": "frodobaggins87/finetune-the-llm-interpret-heat-equation-solution", "kernel_id": "75875263"}, {"ref": "uzumakisumedh/ibm-granite", "kernel_id": "75235021"}, {"ref": "zxxxxxxxxz/sample-starting-code-75d146", "kernel_id": "124873128"}, {"ref": "zxxxxxxxxz/heat-equation-llm-finetune-final", "kernel_id": "124820456"}, {"ref": "zxxxxxxxxz/heat-equation-granite-v3", "kernel_id": "124797137"}, {"ref": "gnoknight/notebook7fb1265ffa", "kernel_id": "125040930"}]}
{"competition_id": "91333", "kernels": []}
{"competition_id": "91342", "kernels": [{"ref": "harsimransinghdalal/kaggle-wars", "kernel_id": "74863585"}]}
{"competition_id": "91347", "kernels": []}
{"competition_id": "91375", "kernels": []}
{"competition_id": "91380", "kernels": []}
{"competition_id": "91381", "kernels": []}
{"competition_id": "91386", "kernels": []}
{"competition_id": "91395", "kernels": []}
{"competition_id": "91412", "kernels": []}
{"competition_id": "91442", "kernels": []}
{"competition_id": "91448", "kernels": [{"ref": "picekl/fungiclef25-starter-notebook", "kernel_id": "78323477"}, {"ref": "stpeteishii/fungiclef25-geodata", "kernel_id": "78929794"}, {"ref": "stpeteishii/fungi-photo-gallery", "kernel_id": "78928880"}, {"ref": "mpwolke/fungitastic-kerashrooms", "kernel_id": "78849233"}, {"ref": "vishwajeetpanda/vit-classifer", "kernel_id": "81996126"}, {"ref": "manpreet023/manavfile", "kernel_id": "81250051"}, {"ref": "manpreet023/fungiclef-25", "kernel_id": "81759194"}, {"ref": "endofnight17j03/fungiclef25-cvpr-fgvc-lifeclef", "kernel_id": "83206336"}, {"ref": "hemant205/random-frst", "kernel_id": "94310123"}, {"ref": "laaksh12/lighgbm", "kernel_id": "94320248"}]}
{"competition_id": "91451", "kernels": [{"ref": "picekl/animalclef2025-starter-notebook", "kernel_id": "77617628"}, {"ref": "stpeteishii/individual-differences-in-animalclef25", "kernel_id": "78893153"}, {"ref": "mpwolke/animalclef25", "kernel_id": "78154255"}, {"ref": "picekl/baseline-with-wildfusion", "kernel_id": "79435251"}, {"ref": "alenic/salamander-rot-classifier", "kernel_id": "79232351"}, {"ref": "furioussavenger/animalclef25-v1", "kernel_id": "79487257"}, {"ref": "danielvalyano/animalclef2025-metrics-baseline-eval", "kernel_id": "79306974"}, {"ref": "jocelyndumlao/animalclef25-baseline-evaluation-w-baks-baus", "kernel_id": "79012693"}, {"ref": "sangeetatipnisnag/animal-clef-2025-by-sangeeta-nag", "kernel_id": "79273593"}, {"ref": "abhinavsharma0706/animal", "kernel_id": "79489222"}, {"ref": "furioussavenger/animalclef25-v3", "kernel_id": "80442538"}, {"ref": "furioussavenger/animalclef25-v2", "kernel_id": "80286374"}, {"ref": "brooklyn47/animalclf", "kernel_id": "80352334"}, {"ref": "egorandreasyan/baseline-with-wildfusion", "kernel_id": "80283773"}, {"ref": "amitsubhashchejara/animalclef25-cvpr-fgvc-lifeclef", "kernel_id": "80954978"}, {"ref": "ariellekeselman/cse5524-animalclef25-advanced-approach", "kernel_id": "80611709"}, {"ref": "enescnkr/wilder-fusion", "kernel_id": "81663377"}, {"ref": "karanpalkjh/using-cnn", "kernel_id": "81973940"}, {"ref": "acmiyaguchi/train-triplet-embedding", "kernel_id": "82533016"}, {"ref": "acmiyaguchi/inference-triplet-embedding", "kernel_id": "82533742"}, {"ref": "acmiyaguchi/train-triplet-embedding-non-linear", "kernel_id": "82778030"}, {"ref": "acmiyaguchi/preprocess-triplet-embedding", "kernel_id": "82644414"}, {"ref": "joycetaoyu/clef-25-data-visualization", "kernel_id": "82532802"}, {"ref": "charlesrclark/notebookda08015390", "kernel_id": "82345776"}, {"ref": "rudraneelsannigrahi/animalclef25-cvpr-fgvc-lifeclef", "kernel_id": "82329032"}, {"ref": "rajeshmanivibez/animalclef25-cvpr-fgvc-lifeclef-new1", "kernel_id": "82301953"}, {"ref": "siddharth776/wilder-fusion-0-48-score", "kernel_id": "82260595"}, {"ref": "karanpalkjh/notebookeb7f4a0229", "kernel_id": "82107062"}, {"ref": "endofnight17j03/animalclef25-cvpr-fgvc-lifeclef", "kernel_id": "83016662"}, {"ref": "stefanvulpe/animalclef2025-pipeline", "kernel_id": "83061301"}]}
{"competition_id": "91462", "kernels": [{"ref": "prathamjyotsingh/kaggle-hack-1", "kernel_id": "74824659"}, {"ref": "shivanshtuteja/kaggle-hack-1-v2", "kernel_id": "74874985"}, {"ref": "chrissharma7/chris1", "kernel_id": "74936451"}, {"ref": "akshiu/notebookc8f1d114d2", "kernel_id": "74819266"}, {"ref": "akshiu/notebook90cd415751", "kernel_id": "74974519"}, {"ref": "hasnainahmedchib/102217070-hasnain-chib", "kernel_id": "74842331"}, {"ref": "vivekattri/kaggle-hack-1-using-xgboost", "kernel_id": "74814098"}, {"ref": "ybrar16/notebook9620937e8a", "kernel_id": "74960265"}, {"ref": "ttanya/notebook01f10c3fe6", "kernel_id": "74801482"}, {"ref": "jb2026/102383041-kaggle-hack-lab-exam-1", "kernel_id": "74925437"}, {"ref": "navkaransing/notebook13fd60846a", "kernel_id": "74939757"}, {"ref": "armaanpreet123/notebook0a608d7f02", "kernel_id": "74894174"}, {"ref": "armaanpreet123/kaggle-hack1", "kernel_id": "74915378"}, {"ref": "aroraanmol2309/notebook5e31f14943", "kernel_id": "74921582"}, {"ref": "archetsrivastava/kaggle-hackk1", "kernel_id": "74917602"}, {"ref": "manikjain105/final1", "kernel_id": "74888656"}, {"ref": "manikjain105/notebook3", "kernel_id": "74917060"}, {"ref": "manikjain105/102217009-manik-jain", "kernel_id": "74813948"}, {"ref": "manikjain105/final2", "kernel_id": "74834006"}, {"ref": "akhil06022004/notebook6cfae92d3b", "kernel_id": "74954620"}]}
{"competition_id": "91482", "kernels": [{"ref": "utkarshshkla/depression-analysis", "kernel_id": "74909448"}, {"ref": "gallo33henrique/mental-health-stacking-lightgbm", "kernel_id": "75326112"}, {"ref": "saddasdaasda/2-5mental-health", "kernel_id": "75994686"}, {"ref": "sajadsj/mental-health", "kernel_id": "77049277"}]}
{"competition_id": "91490", "kernels": []}
{"competition_id": "91496", "kernels": [{"ref": "mpwolke/mondrianish-arc-2024", "kernel_id": "59908045"}, {"ref": "smartmanoj/vllm-server", "kernel_id": "74499667"}, {"ref": "alejandravillarreal/arc-games-training-dimensions", "kernel_id": "75066044"}, {"ref": "japeralrashid/fine-tuning-llama-7b", "kernel_id": "78066151"}, {"ref": "ironbar/arc25-leaderboard-evolution-updated-daily", "kernel_id": "79500393"}, {"ref": "ironbar/arc-agi-1-tasks-missing-in-arc-agi-2", "kernel_id": "79438562"}, {"ref": "khahuras/visualizing-all-1120-tasks", "kernel_id": "79384480"}, {"ref": "jazivxt/smooth-operator", "kernel_id": "79635766"}, {"ref": "bliztafree/safeai-arc-2-2025", "kernel_id": "79429616"}, {"ref": "mpwolke/arc-mondrian-ish-gemma3", "kernel_id": "79405975"}, {"ref": "allegich/arc-agi-2025-starter-notebook-eda", "kernel_id": "79385232"}, {"ref": "allegich/arc-agi-2025-visualization-all-1000-120-tasks", "kernel_id": "79389937"}, {"ref": "iliao2345/arc-agi-without-pretraining", "kernel_id": "79386721"}, {"ref": "mehmetakifciftci/breaking-arc-prize-the-first-50-solution", "kernel_id": "79391352"}, {"ref": "aidetective/arc2interpretation", "kernel_id": "79409569"}, {"ref": "aidetective/same-shape", "kernel_id": "79529382"}, {"ref": "aidetective/prompt-maker", "kernel_id": "79588144"}, {"ref": "smartmanoj/openhands-agent-with-dsl-arc-tools", "kernel_id": "79403652"}, {"ref": "digantabhattacharya/arc-sketch-book", "kernel_id": "79500900"}, {"ref": "mos3santos/arc-2025-vis-de-todas-as-500-120-tarefas", "kernel_id": "79399859"}, {"ref": "boristown/data-difference-between-arc-2024-2025", "kernel_id": "79501699"}, {"ref": "boristown/baseline-from-1st-place-of-2024", "kernel_id": "79326832"}, {"ref": "octaviograu/lb-2-08-baseline-from-1st-place-of-2024", "kernel_id": "79586244"}, {"ref": "octaviograu/arc-prize-2025-dummy-sample-submission-lb-0-00", "kernel_id": "79394105"}, {"ref": "jocelyndumlao/arc-agi-2025-eda-and-dummy-submission", "kernel_id": "79397186"}, {"ref": "kikugo/arc-prize-2025", "kernel_id": "79895962"}, {"ref": "rishabhbhartiya/arc-visulize-evaluate", "kernel_id": "79387098"}, {"ref": "ruxiaoqian/rl-arcagi", "kernel_id": "79390286"}, {"ref": "chezhira/arc-solver-ofv", "kernel_id": "79741977"}, {"ref": "drabdulbasetaledresi/notebooke15d3bce37", "kernel_id": "79398632"}, {"ref": "sharifi76/eda-compare2024-visualizations-top1baseline2024", "kernel_id": "79575166"}, {"ref": "grzegorzskuza1984/arc-prize-2025-gskuza", "kernel_id": "79695186"}, {"ref": "rahuljaisy/arc-agi-multi-disciplinary-eda-exploration", "kernel_id": "79703684"}, {"ref": "phiarchitect/seer-arc-v2", "kernel_id": "79845881"}, {"ref": "namlh2004/arc-agi-2025-visualization-all-1000-120-ta-88d319", "kernel_id": "79548729"}, {"ref": "ananddubey101/arc-prize-2025", "kernel_id": "79997386"}, {"ref": "dominikortler/sparc", "kernel_id": "79737780"}, {"ref": "callummaystone/structured-reduction-logic-arc-prize-2025", "kernel_id": "79408712"}, {"ref": "rahuljiwane/arc-prize-2025-rahul-jiwane", "kernel_id": "79503081"}, {"ref": "hcmuser/fpt-qwen", "kernel_id": "79631290"}, {"ref": "sangrampatil5150/arc-2025-score-calculations-matrix", "kernel_id": "79971443"}, {"ref": "olaflundstrom/advancing-novel-reasoning-toward-agi", "kernel_id": "79412055"}, {"ref": "kschwebke/arc-2025-task-and-agent-visualization", "kernel_id": "79600372"}, {"ref": "albartrose/visualisation-of-all-evaluation-trains-tests", "kernel_id": "80420791"}, {"ref": "ironbar/the-architects-single-task-ttt", "kernel_id": "80400647"}, {"ref": "jamesmcguigan/arc-2025-eda-task-visualization", "kernel_id": "80679592"}, {"ref": "ahmedmoselhy/llm-science-exam", "kernel_id": "80978669"}, {"ref": "octlog/neural-cellular-automata-2025", "kernel_id": "80628358"}, {"ref": "koko19/save-a-huggingface-model-for-use-without-internet", "kernel_id": "80403962"}, {"ref": "allegich/arc-agi-2-2025-eda-analysis-and-features-extract", "kernel_id": "80942238"}, {"ref": "tovvelie/arc-prize-eda", "kernel_id": "80650332"}, {"ref": "hoyso48/a-z-llm-part1", "kernel_id": "80278466"}, {"ref": "hoyso48/a-z-llm-part3-rag", "kernel_id": "80459044"}, {"ref": "hoyso48/a-z-llm-part2-dapt", "kernel_id": "80459173"}, {"ref": "smartmanoj/copy-of-lb-2-08-baseline-from-1st-place-of-2024", "kernel_id": "80260185"}, {"ref": "smartmanoj/green-agi-compressarc-visualization-v7", "kernel_id": "80812587"}, {"ref": "smartmanoj/arc-agi-without-pretraining-v11", "kernel_id": "80703121"}, {"ref": "boristown/agi-compressarc", "kernel_id": "80689305"}, {"ref": "boristown/lb-0-42-arc2025-qwq32b-tir-objectdetection", "kernel_id": "80219668"}, {"ref": "aksh15/akshatha-s-solution", "kernel_id": "80936547"}, {"ref": "tangyipeng100/lb-2-08-baseline-from-1st-place-of-2024", "kernel_id": "80948958"}, {"ref": "vigneshwar472/dlcv-project-barlow-twins", "kernel_id": "80651393"}, {"ref": "tejasgowdas/tejas-gowda-s", "kernel_id": "80923219"}, {"ref": "koushikkumardinda/arc-prize-2025", "kernel_id": "80717316"}, {"ref": "mebishnusahu/arc-prize-2025-full", "kernel_id": "80754045"}, {"ref": "bs53420/notebook02e6d69f90", "kernel_id": "80052429"}, {"ref": "nnofficial/arc-prize-testing", "kernel_id": "80673163"}, {"ref": "sudipde25/visualizing-and-solving-with-arc-2025", "kernel_id": "80128563"}, {"ref": "sudipde25/arc-prize-2025-solving-1-000-tasks", "kernel_id": "80000688"}, {"ref": "jaysurender/notebook7edb47f52f", "kernel_id": "80254628"}, {"ref": "noob786/birdclef-2025-full-pipline-code", "kernel_id": "80321423"}, {"ref": "thahirizzath/arc-prize", "kernel_id": "80692558"}, {"ref": "thahirizzath/arc-prize-2025", "kernel_id": "80692883"}, {"ref": "amineabdelkafi/hunyuan3d-2", "kernel_id": "80301618"}, {"ref": "aimind/machine-see-what-people-see-in-arc-v2", "kernel_id": "81344182"}, {"ref": "aimind/can-the-machine-see-what-people-see-in-arc", "kernel_id": "81164386"}, {"ref": "aimind/pure-manual-rule", "kernel_id": "81020623"}, {"ref": "claree007/arc-2025-submission-3", "kernel_id": "81210676"}, {"ref": "arwani/fork-of-arc-resolver-lstm-only-arc-2024", "kernel_id": "81345001"}, {"ref": "jocelyndumlao/solving-arc-prize-2025-with-qwen-3-transformer", "kernel_id": "81946354"}, {"ref": "slightwindsec/qwen3-0-6b-bnb-nf4", "kernel_id": "81845465"}, {"ref": "mr0106/arcp5", "kernel_id": "81129739"}, {"ref": "mohammadsaquibdaiyan/notebook236a7e811f", "kernel_id": "81010893"}, {"ref": "pandiriveereshkumar/deepfake-detection-using-vit-for-image-dataset", "kernel_id": "81520680"}, {"ref": "harshitakumari256/notebook1da48c96a9", "kernel_id": "81719549"}, {"ref": "ndarray2000/voraxmodelv16-hybride-optimis-arc-prize-2025", "kernel_id": "81787057"}, {"ref": "ndarray2000/voraxmodel-v17-arc-prize-2025-optimized-v3", "kernel_id": "81960509"}, {"ref": "ndarray2000/voraxmodel-v17-arc-prize-2025-ultra-d-taill", "kernel_id": "81960656"}, {"ref": "dedquoc/arcp-2025-quick-resolve-tasks-lb-0-00", "kernel_id": "82801254"}, {"ref": "tom99763/21th-place-solution", "kernel_id": "82045613"}, {"ref": "mos3santos/test-arc25", "kernel_id": "82831478"}, {"ref": "mos3santos/arc-agi-2025-visualization-all-1000-120-tasks", "kernel_id": "82136368"}, {"ref": "alejandravillarreal/arc2025-applying-algebra-to-eda", "kernel_id": "82028670"}, {"ref": "kostopr4v/sigalovkonstantin-bestsub", "kernel_id": "82564073"}, {"ref": "kostopr4v/sigalovkonstantin-submit-63559ef3", "kernel_id": "82542380"}, {"ref": "naladwepo/russia-egor-kulishov-task-cv", "kernel_id": "82541734"}, {"ref": "stemosamaghandour/arc-prize-2025-by-stemer", "kernel_id": "82610284"}, {"ref": "ivan070708/baseline-rus", "kernel_id": "82541660"}, {"ref": "rasamanil/arc-2025-note-book-1", "kernel_id": "82599443"}, {"ref": "harshitakumari256/notebookd40eeb55ad", "kernel_id": "82186385"}, {"ref": "levkayumov/eda-visualization-of-solutions", "kernel_id": "82699171"}, {"ref": "olegg239/drokanovoleg-nlp1", "kernel_id": "82415833"}, {"ref": "olegg239/drokanovoleg-cv1", "kernel_id": "82399393"}, {"ref": "zabojeb/voropaewyaroslaw-day3-task1-v1-v2", "kernel_id": "82541803"}, {"ref": "zabojeb/yaroslawvoropaew-day3-task2-v1", "kernel_id": "82542319"}, {"ref": "zabojeb/arc-prize-2025-baseline", "kernel_id": "82566033"}, {"ref": "gashrith/dl-final-project-test", "kernel_id": "82221878"}, {"ref": "archanathamban/main-foundational-final", "kernel_id": "82047485"}, {"ref": "nikasmirnova/v1-v2-v1", "kernel_id": "82541582"}, {"ref": "nikasmirnova/v02-v03", "kernel_id": "82554058"}, {"ref": "hertryggr/last-gradient-avito", "kernel_id": "82642800"}, {"ref": "cyberalienar/solving-arc-prize-2025-with-qwen-3-transformer", "kernel_id": "82451780"}, {"ref": "mohamed5897/3s-qwen-nlu-model", "kernel_id": "82679471"}, {"ref": "ndarray2000/voraxmodelv17-arc-prize-2025-v2", "kernel_id": "82441854"}, {"ref": "ndarray2000/voraxmodelv17-optimized", "kernel_id": "82014353"}, {"ref": "ndarray2000/voraxmodel-v17-arc-prize-2025-final-fixed", "kernel_id": "82012661"}, {"ref": "ndarray2000/voraxmodel-v17-arc-prize-2025-optimized-fix", "kernel_id": "82016004"}, {"ref": "ndarray2000/voraxmodel-v17-arc-prize-2025-super-fixe", "kernel_id": "82014860"}, {"ref": "kodennnn/qlora-13b", "kernel_id": "82094874"}, {"ref": "hoyso48/a-z-llm-fine-tuning", "kernel_id": "83666334"}, {"ref": "digantabhattacharya/arc-re-framing-pre-process", "kernel_id": "83095511"}, {"ref": "arwani/lstm-rise-up", "kernel_id": "83138364"}, {"ref": "marhamidhatieyrusli/arc-barc-potpourri-induction-try", "kernel_id": "83020184"}, {"ref": "lancelot03/arc-rulebased-engine", "kernel_id": "83222600"}, {"ref": "mr0106/arcspark", "kernel_id": "83654256"}, {"ref": "mr0106/asp-gen", "kernel_id": "83595469"}, {"ref": "helmirinaldi/microsoft", "kernel_id": "83387768"}, {"ref": "govindaramsriram/1-in-privatelb-beyond-visible-spectrum2025-1", "kernel_id": "83051123"}, {"ref": "januuuuu/arcdatasetloader", "kernel_id": "83601063"}, {"ref": "proapple/evaluate-olmocr", "kernel_id": "83289094"}, {"ref": "proapple/training-session", "kernel_id": "83485117"}, {"ref": "kuekarambiaa/arc-prize-2025-by-rahmi-amilia", "kernel_id": "83662119"}, {"ref": "sankhodeepdey/ui-tars-1-5", "kernel_id": "83030023"}, {"ref": "krishnayadav456wrsty/arc-prize-2025-baseline-predictor", "kernel_id": "83059819"}, {"ref": "theonetheonly/nn-xgb", "kernel_id": "83852559"}, {"ref": "theonetheonly/temporal-reconstruct", "kernel_id": "83941787"}, {"ref": "dipayance24b059/project-viveka", "kernel_id": "83565123"}, {"ref": "nguynhngng240112/outlier", "kernel_id": "83730103"}, {"ref": "sarveshtamse/notebook87826b404e", "kernel_id": "83670550"}, {"ref": "trung1311/test-arc25", "kernel_id": "83636396"}, {"ref": "anonymouscodewriter/viveka-app", "kernel_id": "83970909"}, {"ref": "alejandrolopezrincon/starting-point-separating-objects", "kernel_id": "83416885"}, {"ref": "tenffe/arc-prize-2025-eda", "kernel_id": "84821758"}, {"ref": "dedquoc/arc-price-2025-without-pretraining-idea", "kernel_id": "84952373"}, {"ref": "hoyso48/a-z-llm-improving-rag", "kernel_id": "84131589"}, {"ref": "saouza007/arc-vllm", "kernel_id": "84121213"}, {"ref": "jiprud/acr25-baseline", "kernel_id": "84661831"}, {"ref": "abhinavsharma0706/argc-not", "kernel_id": "84006319"}, {"ref": "mr0106/arc-solv-pro", "kernel_id": "84661481"}, {"ref": "tangyipeng100/argc-not", "kernel_id": "84217991"}, {"ref": "alexyi0321/yolo-train", "kernel_id": "84486099"}, {"ref": "koushikkumardinda/arc-prize-eda", "kernel_id": "84807400"}, {"ref": "theonetheonly/tabm-multiclass", "kernel_id": "84687828"}, {"ref": "sambhavgsharma/notebookaa272dbcbf", "kernel_id": "84592011"}, {"ref": "gauravparkhedkar/arcsol", "kernel_id": "84446291"}, {"ref": "victor1211/notebook9cf7452c2c", "kernel_id": "84000036"}, {"ref": "adrianvalente/tools-for-arc-llm-online-testing", "kernel_id": "85097258"}, {"ref": "adrianvalente/arc-llm-deepseek-baseline-internet-no-train", "kernel_id": "85030434"}, {"ref": "machinesteacher/arc-agi-2-hybrid-net", "kernel_id": "85702496"}, {"ref": "hvanphucs112/lb-4-17-compressarc", "kernel_id": "85873822"}, {"ref": "boristown/agi-milestone1-humanarc-distill", "kernel_id": "85723999"}, {"ref": "boristown/arc25-wrong-case-in-evaluation-data", "kernel_id": "85617489"}, {"ref": "lordpatil/gemma-2-2b-it-solves-nothing", "kernel_id": "85885248"}, {"ref": "gmudit/arc2025-a-mathematical-approach-with-correct-sol", "kernel_id": "85085483"}, {"ref": "vet231199/arc-prize", "kernel_id": "85971415"}, {"ref": "daltongabrielomondi/mathematical-investigation-multi-agent-system", "kernel_id": "85231131"}, {"ref": "daltongabrielomondi/enhanced-arc-prize-solution-15-20-target", "kernel_id": "85273771"}, {"ref": "donyaben/arc-prize-2025", "kernel_id": "85226760"}, {"ref": "shogxzard/arc-solver", "kernel_id": "85618543"}, {"ref": "noob786/mpeg-g-microbiomeclassificationconv-staternotebook", "kernel_id": "85812853"}, {"ref": "nihalreddy21/assignment-3", "kernel_id": "85053636"}, {"ref": "tinahe12345678/powerline-0625", "kernel_id": "85786778"}, {"ref": "tinahe12345678/pip-cuvs", "kernel_id": "85792340"}, {"ref": "pcalnon/spiraldatasetgenerator-1", "kernel_id": "86397609"}, {"ref": "pcalnon/spiraldataset", "kernel_id": "86098361"}, {"ref": "mithilavakde/notebook02b3537f41", "kernel_id": "86266454"}, {"ref": "boristown/agi-milestone2-animationarc", "kernel_id": "86723451"}, {"ref": "jiprud/acr25-how-gpt-thinks-about-the-tasks", "kernel_id": "86507667"}, {"ref": "kakuteki/qwen3-unsloth-fine-tuning-beseline", "kernel_id": "86551278"}, {"ref": "kakuteki/qwen3-baseline", "kernel_id": "86538555"}, {"ref": "zhuzil/agi-compressarc-visualization-647cda", "kernel_id": "86698488"}, {"ref": "qi7axu/eda-compare2024-visualizations-top1baseline2024", "kernel_id": "86526558"}, {"ref": "yassinebenzekri/1-epoch-geotrans-3dmatch", "kernel_id": "86503977"}, {"ref": "dipshikhakagglecon/notebookddd1b269f6", "kernel_id": "86298173"}, {"ref": "antonoof/rofl-competition-baseline-useless", "kernel_id": "86745345"}, {"ref": "surav12/arc-price-2025", "kernel_id": "86077683"}, {"ref": "kunalinfinite/deberta-starter-cv-0-930", "kernel_id": "86976847"}, {"ref": "torrentbrave/arc-eda", "kernel_id": "86455312"}, {"ref": "osman0/understanding-arc-prize-2025", "kernel_id": "86868904"}, {"ref": "aaaml007/cntr-mpeg-g-microbiome-classification-challenge", "kernel_id": "86276444"}, {"ref": "nguyenchiminh/simclr-vit-s-16-l4-x4", "kernel_id": "86466346"}, {"ref": "nguyenchiminh/simclr-resnet34-l4x4", "kernel_id": "86457615"}, {"ref": "noob786/second-notebook-mpeg-calssification-problem", "kernel_id": "86144238"}, {"ref": "makarrybkin/slide-and-seek-classification-for-landslide-detect", "kernel_id": "86790740"}, {"ref": "nguyenchiminhfgwhn/dino-vit-t-16-l4", "kernel_id": "86278829"}, {"ref": "nguyenchiminh3/simclr-vit-t-16-l4-x4", "kernel_id": "86294840"}, {"ref": "nguyenchiminh3/byol-resnet34-l4-x4", "kernel_id": "86459421"}, {"ref": "nguyenchiminh3/byol-vit-s-16-l4-x4", "kernel_id": "86465561"}, {"ref": "aimind/ilp-solved-e3721c99-hole-colo2", "kernel_id": "87461088"}, {"ref": "aimind/popper-ilp-solved-37d3e8b2-type-hole-color-change", "kernel_id": "87258007"}, {"ref": "abiolatti/fast-expandable-jax-dsl", "kernel_id": "87221698"}, {"ref": "wlsgusjin/vaitech", "kernel_id": "87140600"}, {"ref": "boristown/agi-milestone3-overfit-it", "kernel_id": "87217864"}, {"ref": "boristown/agi-milestone4-build-the-agi", "kernel_id": "87769138"}, {"ref": "abhinavsharma0706/arg-compress", "kernel_id": "87240539"}, {"ref": "cchrisaa/notebook417bdba22b", "kernel_id": "87094471"}, {"ref": "cchrisaa/notebook629303e287", "kernel_id": "87328755"}, {"ref": "happy1scientist/notebooke7aca9a4f8", "kernel_id": "87797770"}, {"ref": "rishgeeky/arc-agi", "kernel_id": "87753982"}, {"ref": "uzairyounas/new-arc-2025", "kernel_id": "87225267"}, {"ref": "carolyyy/gattransformer", "kernel_id": "87186359"}, {"ref": "santiagojmedina/neuro-ia-propuesta-ia", "kernel_id": "87743626"}, {"ref": "edafemoses/network-analysis", "kernel_id": "87593700"}, {"ref": "mohammedalohaydib/moh-alohaydib-arc-baseline-v1", "kernel_id": "87818770"}, {"ref": "jamesedwardllara/novaarcsolver-v17-1-test-arc-submission", "kernel_id": "87467417"}, {"ref": "manmohan123/curriculumlearningforarc", "kernel_id": "88012136"}, {"ref": "alperr/notebook8e58fa4031", "kernel_id": "88131198"}, {"ref": "sdfabio/understanding-arc-prize-2025", "kernel_id": "88076630"}, {"ref": "jerber/jeremy-arc2", "kernel_id": "88409943"}, {"ref": "krishnasharma7860/competition-notebook", "kernel_id": "88406146"}, {"ref": "mahmoudashraf7400/arc-smart-and-best-solution", "kernel_id": "88930731"}, {"ref": "mahmoudashraf7400/arc-solution-code", "kernel_id": "88841546"}, {"ref": "harrisnarayanen/arc-agi-submission-uno", "kernel_id": "88571201"}, {"ref": "sethmoudry/arc-agi-with-hrm-model", "kernel_id": "88103797"}, {"ref": "sethmoudry/arc-agi-with-visual-hrm-trained", "kernel_id": "88104170"}, {"ref": "cchrisaa/notebook-fresh-4ju3", "kernel_id": "88049129"}, {"ref": "mrsimple07/argsss", "kernel_id": "88714578"}, {"ref": "dedads/karaganda", "kernel_id": "88993020"}, {"ref": "surav12/arc-prize-2025-competition", "kernel_id": "88870172"}, {"ref": "krishnayadav456wrsty/arc-agi-code-golf-solutions", "kernel_id": "88988377"}, {"ref": "nguyenchiminh/dino-resnet18-l4", "kernel_id": "88060833"}, {"ref": "nguyenchiminh/byol-resnet50-l4-x4", "kernel_id": "88062428"}, {"ref": "nguyenchiminh/dino-resnet50-l4", "kernel_id": "88062066"}, {"ref": "nguyenchiminh/simclr-resnet18-l4x4", "kernel_id": "88063434"}, {"ref": "nguyenchiminh/simclr-resnet50-l4x4", "kernel_id": "88062984"}, {"ref": "adilshamim8/arc-prize-2025-comprehensive-solution", "kernel_id": "88542343"}, {"ref": "gauripatil2299/arc-prize-2025-competition", "kernel_id": "88070955"}, {"ref": "menhari/winner-arc", "kernel_id": "88195413"}, {"ref": "menhari/winner-arc-2025-warc", "kernel_id": "88145054"}, {"ref": "abdulkareemomer/0-89211-fake-or-real-distil-bert-self-attention", "kernel_id": "88073010"}, {"ref": "januaryleafff/lb-0-83-arc2025-qwq32b-tir-objectdetection", "kernel_id": "88740570"}, {"ref": "kerta27/arc-compressarc-easiest-first-strategy", "kernel_id": "88040683"}, {"ref": "ronjay/notebooke561b6b036", "kernel_id": "88661635"}, {"ref": "mengaidev/kaggle-arc", "kernel_id": "88131349"}, {"ref": "melinaguergueb/notebook9f6a61059e", "kernel_id": "88776687"}, {"ref": "aimind/ilp-solved-342ae2ed-diagline", "kernel_id": "89287118"}, {"ref": "danilasergeyev/a-path-towards-solving-arc", "kernel_id": "89691239"}, {"ref": "psywarrior/project-abstraction", "kernel_id": "89033922"}, {"ref": "letemoin/flightrank-n-folds-holdout-single-model", "kernel_id": "89127657"}, {"ref": "shunsukeiwata2128668/eda-visialize-check-submission", "kernel_id": "89570705"}, {"ref": "ahmedmagaji/arc-model-experiment", "kernel_id": "89503261"}, {"ref": "mahmoudashraf7400/arc-smart-solution", "kernel_id": "89060731"}, {"ref": "mahmoudashraf7400/arc-solving-complex-rule", "kernel_id": "89073611"}, {"ref": "miguelingram/kaggle-submission-notebook", "kernel_id": "89345135"}, {"ref": "georgeeshietmacaulay/notebook91e81bece9", "kernel_id": "89024376"}, {"ref": "porwalakash/arc2025-deepseek1-5b-objectdetection", "kernel_id": "89683161"}, {"ref": "thomasyiu2/using-frontier-models-on-arc-agi-via-langchain-oss", "kernel_id": "89410320"}, {"ref": "tanakitbutbamrung/notebook240b361a80", "kernel_id": "89403151"}, {"ref": "ndarray2000/uns-arc-solver-integrated-complete-v13", "kernel_id": "89800146"}, {"ref": "sayyedtuaha/arc-notebook", "kernel_id": "89936104"}, {"ref": "christie/submission-scoring-format-error-analysis", "kernel_id": "90345128"}, {"ref": "antoniu/arc-compressor-neural-network-submission", "kernel_id": "90351371"}, {"ref": "antoniu/arc-agi-standalone-neural-network", "kernel_id": "90352814"}, {"ref": "mohamedelrouby/arc-prize-2025", "kernel_id": "90845596"}, {"ref": "cchrisaa/notebook8b671e8c93", "kernel_id": "90487166"}, {"ref": "shadesh/todo-marker", "kernel_id": "90006686"}, {"ref": "muhammaddanyalmalik/configuration-tuning-arc", "kernel_id": "90148103"}, {"ref": "vivaancyber/transformer-arc", "kernel_id": "90961051"}, {"ref": "sukrititalwar/notebook22e97c0481", "kernel_id": "90881216"}, {"ref": "nahmahn/arc-agi2", "kernel_id": "90584911"}, {"ref": "noob786/grand-x-ray-slam-division-a", "kernel_id": "90878175"}, {"ref": "abdulsamadjod1234/arc-prize2-0", "kernel_id": "90063690"}, {"ref": "abdulsamadjod1234/hybrid1-0", "kernel_id": "90453595"}, {"ref": "nitin225/arc2025ipynb", "kernel_id": "90887375"}, {"ref": "chenguoweare20202020/arc2025ipynb", "kernel_id": "90399651"}, {"ref": "nishkgp/arc-compressarc-easiest-first-strategy", "kernel_id": "91956743"}, {"ref": "ironbar/arc25-pip-wheels", "kernel_id": "91654154"}, {"ref": "ironbar/search-and-learn", "kernel_id": "91614505"}, {"ref": "jcole75/mindsai-tufa-2025", "kernel_id": "91454712"}, {"ref": "huikang/arc-agi-2-code-approach", "kernel_id": "91455112"}, {"ref": "huikang/pip-install-arc-agi-2", "kernel_id": "91511611"}, {"ref": "barbosajaf/arc-prize-2k25-proto-reasoning", "kernel_id": "91859782"}, {"ref": "suhailab/arc-p-25", "kernel_id": "91736503"}, {"ref": "babydriver1233/arc-prize-2025", "kernel_id": "91270168"}, {"ref": "laurenober/arc-visualizer", "kernel_id": "91777561"}, {"ref": "ishanchugh/transformer-arc", "kernel_id": "91026145"}, {"ref": "muhammaddanyalmalik/fine-tuning-for-arc-2025", "kernel_id": "91174579"}, {"ref": "shanjanmakkar/transformer-arc-4f1241", "kernel_id": "91120153"}, {"ref": "tirawatsaelim/lb-2-08-baseline-from-1st-place-of-2024-copyt", "kernel_id": "91724719"}, {"ref": "alexcolsi/ozon-cup-inference", "kernel_id": "91197851"}, {"ref": "xzenithai/vx-flameshell-arc-2025-submission", "kernel_id": "91688579"}, {"ref": "yazeed00/acr25-z", "kernel_id": "91001051"}, {"ref": "phillipcoreyroark/bug-trails01", "kernel_id": "91315262"}, {"ref": "phillipcoreyroark/victory36-qrix-arc-prize-2025", "kernel_id": "91432410"}, {"ref": "metacodeh/a-z-llm-fine-tuning", "kernel_id": "91539211"}, {"ref": "metacodeh/a-z-llm-improving-rag", "kernel_id": "91540268"}, {"ref": "alansun/arc-agi-2025-200test", "kernel_id": "92522958"}, {"ref": "thierrybonnafont/arc-prize-2025-data-visualization-tool", "kernel_id": "92585388"}, {"ref": "kethansaikoneru/arc-agi-kethan", "kernel_id": "92441186"}, {"ref": "kethansaikoneru/arc-agi-ketan", "kernel_id": "92453426"}, {"ref": "lucknow123/arcprize2025-model-development", "kernel_id": "92572406"}, {"ref": "kshitijmishra20/ai-class-project", "kernel_id": "92173108"}, {"ref": "gregkamradt/arc-agi-pub-submission-j-berman-2025", "kernel_id": "92184852"}, {"ref": "gregkamradt/arc-agi-pubericpang-2025", "kernel_id": "92185096"}, {"ref": "shogomiyawaki/arc-prize-2025", "kernel_id": "92435642"}, {"ref": "ramanofthesky/arc-agi-solution", "kernel_id": "92402886"}, {"ref": "seoyeonpp/a-z-llm-fine-tuning", "kernel_id": "92122004"}, {"ref": "seoyeonpp/a-z-llm-improving-rag", "kernel_id": "92123488"}, {"ref": "essamalik/notebookd7903b843b", "kernel_id": "92163748"}, {"ref": "kongaskristjan/synthetic-data-for-puzzle-05269061", "kernel_id": "93444801"}, {"ref": "vinikagglian/vin-arc-agi-2-2025-qwen-3", "kernel_id": "93766537"}, {"ref": "mahmoudashraf7400/arc-advanced-solution", "kernel_id": "93148495"}, {"ref": "mahmoudashraf7400/arc-advanced-a-solution", "kernel_id": "93148293"}, {"ref": "uryednap/segmentation-generator", "kernel_id": "93076614"}, {"ref": "uryednap/fork-of-vesselfm-seg-to-seg-generator", "kernel_id": "93839608"}, {"ref": "aaronjoellontsisob/fl-mpeg-g-microbiome-classification-challenge-kodj", "kernel_id": "93469785"}, {"ref": "tygryskuyato/arc-prize-2025-submission", "kernel_id": "93664757"}, {"ref": "dorukdorular/model-23-hotel-v04-enhanced", "kernel_id": "93903673"}, {"ref": "dorukdorular/model-23-hotel-v01-enhanced", "kernel_id": "93899785"}, {"ref": "dorukdorular/model-23-hotel-v00-nc", "kernel_id": "93898279"}, {"ref": "abhirnayak/arc-prize-2025-kaggle", "kernel_id": "93580574"}, {"ref": "justinscott86/submission", "kernel_id": "93815074"}, {"ref": "kayoshinmichael/novaarc", "kernel_id": "93026113"}, {"ref": "mkn2054/submission-json", "kernel_id": "93243108"}, {"ref": "ankittiwari13/notebookca790f6009", "kernel_id": "93902866"}, {"ref": "dubltap/arc-2025-prize", "kernel_id": "93817738"}, {"ref": "dubltap/arc-agi-2025-visualization-all-1000-120-tasks", "kernel_id": "93754084"}, {"ref": "josh13/arc-agi-v1-10-2025", "kernel_id": "94754821"}, {"ref": "alexiajm/arc-agi-without-pretraining", "kernel_id": "94947200"}, {"ref": "deblina4kaggle/final-submission", "kernel_id": "94808175"}, {"ref": "m7hammedess3ms3lah/arc-prize-2025", "kernel_id": "94504056"}, {"ref": "pranjultiwari/notebook366f15eeeb", "kernel_id": "94166908"}, {"ref": "timurturdalijev/digitalsoularc-v9-0", "kernel_id": "94959086"}, {"ref": "kethansaikoneru/arc-agi-omni-arc", "kernel_id": "94103446"}, {"ref": "vinayak121/recursive-approch", "kernel_id": "94291557"}, {"ref": "shubhamchauhan22222/test-embeddings-deberta-v3-base", "kernel_id": "94651770"}, {"ref": "shubhamchauhan22222/train-embeddings-deberta-v3-base", "kernel_id": "94652394"}, {"ref": "shubhamchauhan333/test-modernbert-base", "kernel_id": "94650545"}, {"ref": "shubhamchauhan333/train-modernbert-base", "kernel_id": "94648758"}, {"ref": "tomaszslapczynski/my-improvement-to-baseline-from-1st-place-of-2024", "kernel_id": "94606798"}, {"ref": "krishnayadav456wrsty/neurl-arc-win", "kernel_id": "94231201"}, {"ref": "itsdikshit/dino-resnet50-l4", "kernel_id": "94451810"}, {"ref": "skm555/reasoning-llm-fine-tune-for-arc", "kernel_id": "94915993"}, {"ref": "shubhamchauhan4444/train-embeddings-modernbert-base", "kernel_id": "94690405"}, {"ref": "muhammadbehroz/deepfake-and-real-images-dectection", "kernel_id": "94479251"}, {"ref": "selineli/lb-0-42-arc2025-qwq32b-tir-objectdetection", "kernel_id": "94138251"}, {"ref": "jojobagel/lb8-33-using-a-0-5b-model-with-architects-approach", "kernel_id": "94200769"}, {"ref": "softkleenex/arc-prize-2025-baseline-submission", "kernel_id": "94995110"}, {"ref": "seconds0/trm-arc-agi-2-inference", "kernel_id": "94322720"}, {"ref": "seconds0/trm-arc-agi-2-inference-v2", "kernel_id": "94323285"}, {"ref": "bcsmilyai/reasoning-llm-fine-tune-for-arc", "kernel_id": "94861472"}, {"ref": "michaelgtafan/arc-competition-performance-dashboard", "kernel_id": "94743676"}, {"ref": "wethepeople918/notebook308387508f", "kernel_id": "94411068"}, {"ref": "stanislauniadbailau/second-stas", "kernel_id": "94663313"}, {"ref": "luizpuodzius/notebookcc56ce7d1f", "kernel_id": "94961656"}, {"ref": "solokop/arc-prize-2025-beam-search", "kernel_id": "95898540"}, {"ref": "solokop/arc-prize-2025-architects-adapted", "kernel_id": "95731648"}, {"ref": "solokop/arc-prize-2025-simple-submission", "kernel_id": "95731930"}, {"ref": "solokop/arc-prize-2025-smarter-submission", "kernel_id": "95732842"}, {"ref": "solokop/arc-prize-2025-v4-aggressive-solver", "kernel_id": "95361297"}, {"ref": "smartmanoj/eric-pang-method", "kernel_id": "95257317"}, {"ref": "elmaddinguliyev/notebook386d5e65a1", "kernel_id": "95216058"}, {"ref": "jackonia/arc-notebook-2025", "kernel_id": "95593780"}, {"ref": "timurturdalijev/etherealmind", "kernel_id": "95506056"}, {"ref": "samerattrah/arc-one-cell-submission-ipynb", "kernel_id": "95080262"}, {"ref": "ippeiogawa/lb10-00-with-tweak-to-2024-1st-solution", "kernel_id": "95677038"}, {"ref": "vinayak121/less-is-more", "kernel_id": "95910628"}, {"ref": "isaacjoffe/arc-solver-v2-submission", "kernel_id": "95645555"}, {"ref": "eduardoricciricci/ethical-alchemist-v777-s", "kernel_id": "95530812"}, {"ref": "daltongabrielomondi/arc-prize-n", "kernel_id": "95363872"}, {"ref": "pacuaviva/rethinking-visual-intelligence", "kernel_id": "95950758"}, {"ref": "koushikvrk123/arc-one-25", "kernel_id": "95132252"}, {"ref": "mathisonzc/arc-prize-2025-deep-learning-model", "kernel_id": "95215981"}, {"ref": "mathisonzc/arc-prize-2025-improved-pattern-recognition", "kernel_id": "95209669"}, {"ref": "mathisonzc/arc-prize-2025-baseline-submission", "kernel_id": "95206530"}, {"ref": "osman0/arc-task-gallery-browse-all-1-000-training-tasks", "kernel_id": "95552663"}, {"ref": "jialuliie/arc-prize-2025", "kernel_id": "95681879"}, {"ref": "svo1488zov/notebook04783b2e26", "kernel_id": "95267674"}, {"ref": "hertryggr/notebook5eab563178", "kernel_id": "95377397"}, {"ref": "realshocky/arc-prize-2025-ensemble-solver-v1", "kernel_id": "95269076"}, {"ref": "softkleenex/arc-prize-2025-v7-dsl-program-search", "kernel_id": "95048376"}, {"ref": "softkleenex/arc-prize-2025-v8-hybrid-ultimate", "kernel_id": "95048599"}, {"ref": "softkleenex/arc-prize-2025-v3-aggressive-30-transforms", "kernel_id": "95001566"}, {"ref": "softkleenex/arc-prize-2025-v2-enhanced-25-transforms", "kernel_id": "95001214"}, {"ref": "softkleenex/arc-prize-2025-v4-advanced", "kernel_id": "95001925"}, {"ref": "softkleenex/arc-prize-2025-v5-ultimate", "kernel_id": "95001961"}, {"ref": "softkleenex/arc-prize-2025-v6-learning", "kernel_id": "95004275"}, {"ref": "softkleenex/arc-2025-compressarc-method", "kernel_id": "95926210"}, {"ref": "softkleenex/arc-prize-2025-phase-4-final-submission", "kernel_id": "95781126"}, {"ref": "softkleenex/arc-prize-2025-phase-4-fixed", "kernel_id": "95795836"}, {"ref": "softkleenex/arc-prize-2025-corrected-format", "kernel_id": "95796230"}, {"ref": "softkleenex/arc-2025-quick-submission", "kernel_id": "95957668"}, {"ref": "seconds0/trm-arc-agi-2-inference-py311-offline", "kernel_id": "95516510"}, {"ref": "junkikanamori/kut-omux", "kernel_id": "95219934"}, {"ref": "hamsrajpoot128/submission-json", "kernel_id": "95512285"}, {"ref": "wethepeople918/matthewblakeward-sdarksigilagi", "kernel_id": "95409057"}, {"ref": "marcshade/three-tier-dsl-based-program-synthesis", "kernel_id": "95066242"}, {"ref": "justinconzet/sovereign-os-x", "kernel_id": "95675339"}, {"ref": "nikhilindia/notebook64b5fc95ff", "kernel_id": "95462588"}, {"ref": "solokop/arc-prize-2025-compressarc-day-8", "kernel_id": "96362483"}, {"ref": "brick669/notebook8319e3e156", "kernel_id": "96854431"}, {"ref": "timurturdalijev/etherealmind-2", "kernel_id": "96040053"}, {"ref": "rakeshluthra/rl-arc-v0-1-baseline", "kernel_id": "96864562"}, {"ref": "koyashikimao/fork-of-agi-compressarc-visualization", "kernel_id": "96319753"}, {"ref": "samerattrah/arc-gpu-keras-gemma-ipynb", "kernel_id": "96562840"}, {"ref": "tahuuanh/baseline-reinforcement-learning-arc-prize-2025", "kernel_id": "96323617"}, {"ref": "sanyul/lb-5-83-baseline-from-1st-place-of-2024", "kernel_id": "96627128"}, {"ref": "tiendungng/hipfc-or-remap-v0", "kernel_id": "96996399"}, {"ref": "owaisahmad1/owais-ahmad-40779ff46e7393", "kernel_id": "96101731"}, {"ref": "owaisahmad1/owais-ahmad-4077", "kernel_id": "96043436"}, {"ref": "mccocoful/trm-test-time-train", "kernel_id": "96915826"}, {"ref": "aryan7512222/agicompressarc", "kernel_id": "96786112"}, {"ref": "aryan7512222/digitalsoularc-v9-0", "kernel_id": "96774628"}, {"ref": "codejoetheduke/llm-pipeline-barbados", "kernel_id": "96006137"}, {"ref": "softkleenex/arc-easiest-first-strategy-gold-medal", "kernel_id": "96153705"}, {"ref": "softkleenex/arc-2025-easiest-first", "kernel_id": "96154496"}, {"ref": "dorukdorular/arc-prize-2025-quick-wins-v1-1-submission", "kernel_id": "96738164"}, {"ref": "seconds0/trm-arc-agi-2-inference-py311-offline-none", "kernel_id": "96592874"}, {"ref": "flyingrooster/ai-supply-chain-project-lexicon", "kernel_id": "96223271"}, {"ref": "damiend6/skynet-666", "kernel_id": "96843672"}, {"ref": "kobrakay/voltmind-the-pattern", "kernel_id": "96566696"}, {"ref": "cpmpml/arc2-trm-v31", "kernel_id": "97679521"}, {"ref": "sorokin/arc2-qwen3-unsloth-flash-lora-batch4-queue", "kernel_id": "97750825"}, {"ref": "aripasadulaev/deep-improvement-supervision-v2-paper-award", "kernel_id": "97846399"}, {"ref": "ethanb34/apg-submission", "kernel_id": "97786370"}, {"ref": "guptashivendra/notebookf4f0159058", "kernel_id": "97343851"}, {"ref": "tobimichigan/neuro-symbolic-ai-system-for-arc-puzzle", "kernel_id": "97845149"}, {"ref": "enricomanuzzi/roi-reason-or-intuition", "kernel_id": "97858312"}, {"ref": "deblina4kaggle/995-tasks-solutions", "kernel_id": "97657672"}, {"ref": "brick669/notebook9eec00ca36", "kernel_id": "97865884"}, {"ref": "jeannkouagou/simple-copy-of-qwen2-5-7b-arc-2025", "kernel_id": "97791212"}, {"ref": "jeannkouagou/qwen2-5-7b-arc-2025", "kernel_id": "97442835"}, {"ref": "lonnieqin/lb-5-83-baseline-from-1st-place-of-2024", "kernel_id": "97588104"}, {"ref": "smartmanoj/submission-debugger", "kernel_id": "97976089"}, {"ref": "boristown/20th-place-solution", "kernel_id": "97386936"}, {"ref": "lyubomirklyambarski/v26-script", "kernel_id": "97307552"}, {"ref": "mahmoudashraf7400/arc-earvn", "kernel_id": "97745929"}, {"ref": "mustafasm/multi-agent-solver-direct", "kernel_id": "97788577"}, {"ref": "arazzz/last-minute", "kernel_id": "97277606"}, {"ref": "ippeiogawa/lb9-03-with-tweak-to-2024-1st-solution", "kernel_id": "97687420"}, {"ref": "anonymouspenguin243/test-arc25-4", "kernel_id": "97398345"}, {"ref": "artemgoncarov/lb-7-08-agi-solution", "kernel_id": "97610635"}, {"ref": "assemelqirsh/arc-prize-2025", "kernel_id": "97402353"}, {"ref": "sachchidanandadaki/arc-agi", "kernel_id": "97356446"}, {"ref": "rikutomori/arc25-11-2-llm", "kernel_id": "97646926"}, {"ref": "skyeloitz/arc-submission-optimized", "kernel_id": "97859330"}, {"ref": "skyeloitz/arc-submission", "kernel_id": "97660269"}, {"ref": "tracrew/catalyst-22-2", "kernel_id": "97040595"}, {"ref": "junkikanamori/kup-kut-omux-cord", "kernel_id": "97088381"}, {"ref": "adrienthomas/notebook1af47538ff", "kernel_id": "97466800"}, {"ref": "albartrose/10-4-notebook-arcitects-tweaked", "kernel_id": "98050494"}, {"ref": "evagian/finetune-qwen-3b-instruct-arc-2025", "kernel_id": "98496787"}, {"ref": "dheerajcl/capstone-final-v", "kernel_id": "98343147"}, {"ref": "quanghuy2k5/qwen-test-133b01", "kernel_id": "98720954"}, {"ref": "shivareddy06/titanic-survival-prediction-logistic-regression", "kernel_id": "98801918"}, {"ref": "angustennis/submission-json", "kernel_id": "98352363"}, {"ref": "amirraven/notebooka373da5aa0", "kernel_id": "98316269"}, {"ref": "jasonsbenoit/ainari-advancing-agi-with-object-centric-dynamics", "kernel_id": "98841382"}, {"ref": "adrienthomas/arc-prize-2025-1", "kernel_id": "98227425"}, {"ref": "adrienthomas/notebook0ac72e2a27", "kernel_id": "98669290"}, {"ref": "gregkamradt/ap25-lb-5-83-baseline-from-1st-place-of-2024", "kernel_id": "99784075"}, {"ref": "adrienthomas/architect", "kernel_id": "99516293"}, {"ref": "alexcolsi/zovut-anton-new-fold-0", "kernel_id": "100213773"}, {"ref": "softkleenex/arc-compressarc-easiest-first-fixed", "kernel_id": "100754834"}, {"ref": "alephir/trying-to-calculate-sudoku", "kernel_id": "101707218"}, {"ref": "ivanfolomkin/best-weights-solution", "kernel_id": "101481282"}, {"ref": "softkleenex/arc-competition-mode-240-tasks-forced", "kernel_id": "101383188"}, {"ref": "adrienthomas/the-ghost", "kernel_id": "101349341"}, {"ref": "adrienthomas/bible-2", "kernel_id": "101351566"}, {"ref": "adrienthomas/arc-prize-2025-adrien-d-thomas", "kernel_id": "101060063"}, {"ref": "sumanghosh2008p/notebook8be9d713c9", "kernel_id": "101160447"}, {"ref": "ihcgnahk/titanic-survival-prediction-logistic-regr-a7d744", "kernel_id": "102956364"}, {"ref": "gregkamradt/mindsai-tufa-2025-v4", "kernel_id": "103406007"}, {"ref": "gregkamradt/arc2-qwen3-unsloth-flash-lora-batch8-queue-trm2", "kernel_id": "103405846"}, {"ref": "gregkamradt/arc-2025-diffusion", "kernel_id": "103405904"}, {"ref": "voltairglobalhub/quantum-arc-solver-comp", "kernel_id": "103815884"}, {"ref": "aesoonb/a-z-llm-improving-rag", "kernel_id": "103367640"}, {"ref": "aesoonb/a-z-llm-fine-tuning", "kernel_id": "103367206"}, {"ref": "dfranzen/arc-prize-2025-by-the-architects", "kernel_id": "104287387"}, {"ref": "rlambert/myfirstattemptarc", "kernel_id": "104362095"}, {"ref": "armstrongknight/arc-curvent-field-theory-solver", "kernel_id": "105605411"}, {"ref": "dibyachakravorty/arc-agi-2-evaluation-with-gpt-5-2-xhigh", "kernel_id": "107793299"}, {"ref": "sarooshkhan897/arc-ttt-eval", "kernel_id": "108360614"}, {"ref": "sarooshkhan897/arc-ttt-claude", "kernel_id": "108806795"}, {"ref": "sarooshkhan897/arc-ttt-gemini", "kernel_id": "110030566"}, {"ref": "danielwycoff/measuring-progress", "kernel_id": "112648929"}, {"ref": "mirzamilanfarabi/arc2-qwen3-unsloth-flash-lora-batch4-queue-mar-26", "kernel_id": "113527214"}, {"ref": "dlckdrnhgfj/0514-a-z-llm-fine-tuning", "kernel_id": "119042612"}, {"ref": "dlckdrnhgfj/0514-a-z-llm-improving-rag", "kernel_id": "119088884"}, {"ref": "rahulvimalkanth/trm-alone", "kernel_id": "121099448"}, {"ref": "josefkurkedwards/arc2-trm-v31", "kernel_id": "126091481"}, {"ref": "anglolodorf/taaf-model-20260815-q38-p1-fewshot-t9", "kernel_id": "131385549"}, {"ref": "anglolodorf/qwen3-8-27b-fp8-arc-agi-3-80-80-fixes-few-shot", "kernel_id": "131383184"}]}
{"competition_id": "91497", "kernels": [{"ref": "toshimelonhead/ncaa-march-madness-sabermetric-spin-v2", "kernel_id": "35117711"}, {"ref": "rsa013/marchmadness-bracket-simulator", "kernel_id": "35993253"}, {"ref": "kaito510/1xgold-2xsilvers-key-ingredient", "kernel_id": "51668159"}, {"ref": "toshimelonhead/ncaa-march-madness-sabermetric-spin-v3", "kernel_id": "51666289"}, {"ref": "beckpro/previous-2022-xgboost-solution-simple-submission", "kernel_id": "51806850"}, {"ref": "lennarthaupts/calculate-elo-ratings", "kernel_id": "52155439"}, {"ref": "nishaanamin/bracketology-part-1-upset-stats", "kernel_id": "66420153"}, {"ref": "paultimothymooney/simple-starter-notebook-for-march-mania-2025", "kernel_id": "75873340"}, {"ref": "nishaanamin/bracketology-part-7-machine-learning-model", "kernel_id": "75846538"}, {"ref": "nishaanamin/bracketology-part-5-seed-matchups", "kernel_id": "75840000"}, {"ref": "kaito510/goto-conversion-winning-solution", "kernel_id": "76441575"}, {"ref": "cv13j0/march-machine-ncaa-predictions-all-data", "kernel_id": "76815470"}, {"ref": "cv13j0/march-machine-ncaa-predictions", "kernel_id": "76880581"}, {"ref": "kumarandatascientist/eda-beginner-friendly-two-step-march-mania", "kernel_id": "76670453"}, {"ref": "kumarandatascientist/lb-0-00073-xtratreecls-with-hyperparameter-v1", "kernel_id": "76590131"}, {"ref": "kumarandatascientist/mixture-of-experts-moe-2-gcn-model", "kernel_id": "76432840"}, {"ref": "kumarandatascientist/feed-forward-neural-network-model-v1", "kernel_id": "76431425"}, {"ref": "kumarandatascientist/rnn-lstm-model", "kernel_id": "76435274"}, {"ref": "kumarandatascientist/polynomial-feature-engineering-introduced", "kernel_id": "76426524"}, {"ref": "kumarandatascientist/logistic-regression", "kernel_id": "76441546"}, {"ref": "kumarandatascientist/catboost-targetencoder-gpu-cudf-rapids", "kernel_id": "76510471"}, {"ref": "kumarandatascientist/llm-ai-agentic-nvidia-cudf-gpu-catboosting", "kernel_id": "76508790"}, {"ref": "rsa013/march-madness-simulator", "kernel_id": "76876228"}, {"ref": "rsa013/march-madness-simulation-example", "kernel_id": "76914562"}, {"ref": "rsa013/march-madness-submission-benchmark-example", "kernel_id": "76746625"}, {"ref": "rsa013/march-madness-submission-tester", "kernel_id": "76742332"}, {"ref": "weimiaoou/machine-learning-ncaa", "kernel_id": "76934729"}, {"ref": "clehmann10/bball-eda-tutorial", "kernel_id": "76731541"}, {"ref": "mpwolke/eleventh-annual-march-mania-2025", "kernel_id": "76393812"}, {"ref": "dedquoc/analysis-datasets-and-eda-first", "kernel_id": "76642898"}, {"ref": "goduguanilhimam/march-mania", "kernel_id": "76364210"}, {"ref": "mayankrakesh121/march-mania-kaddu-coders", "kernel_id": "76530687"}, {"ref": "coreymichaud/march-ml-mania-2025", "kernel_id": "76594454"}, {"ref": "takumimukaiyama/lb-0-18029-lgbmbaseline-section1", "kernel_id": "76441954"}, {"ref": "farelarden/march-machine-learning-mania-2025", "kernel_id": "76745774"}, {"ref": "nehadas55/ncaa-march-ml-mania-2025-predictions", "kernel_id": "76631153"}, {"ref": "jocelyndumlao/march-ml-mania-2025-brier-score-prediction", "kernel_id": "76424169"}, {"ref": "imincome/minimal-baseline-catboost", "kernel_id": "76595481"}, {"ref": "kikugo/march-machine-learning-mania-2025", "kernel_id": "76971811"}, {"ref": "ravi20076/marchml2025-starter", "kernel_id": "76389982"}, {"ref": "sabreenelkamash/march-machine-earning-mania-2025", "kernel_id": "76437011"}, {"ref": "tononnh/brier-scores-calculation", "kernel_id": "76608985"}, {"ref": "alexkalita/optuna-catboost-march-mania-2025-0-15102", "kernel_id": "76443831"}, {"ref": "muhammad234/march-mania-submission", "kernel_id": "76629627"}, {"ref": "yohanpeter/march-mania-2025-notebook", "kernel_id": "76571575"}, {"ref": "liberalist/quickreview-mmlm2025", "kernel_id": "76595607"}, {"ref": "mahmoudabdshafy/submission-stage-lightgbm", "kernel_id": "76740541"}, {"ref": "ibrahimagabardiop/march-machine-learning-mania-2025", "kernel_id": "76621154"}, {"ref": "chrisk321/march-madness-eda", "kernel_id": "76799993"}, {"ref": "ayushsq/ncaa-1st-submittion", "kernel_id": "76611012"}, {"ref": "ayushsq/xgb-boost-7-9-accuracy", "kernel_id": "76642802"}, {"ref": "judhafadhilla/panji-march-mania-2025", "kernel_id": "76445499"}, {"ref": "ssuryanshshukla/notebookd72e859791", "kernel_id": "76953414"}, {"ref": "renujakkampudi/notebookba079ac34f", "kernel_id": "76799480"}, {"ref": "queensijariwala/code-eda", "kernel_id": "76902167"}, {"ref": "vinodkumargurjar/machine-learning-mania-2025", "kernel_id": "76635921"}, {"ref": "stemosamaghandour/march-machine-learning-mania-2025-by-stemer-osama", "kernel_id": "76638507"}, {"ref": "sofianechehboune/march-machine-learning-mania-2025", "kernel_id": "76668273"}, {"ref": "younusmohamed/48-00-complete-eda-march-ml-mania", "kernel_id": "76522982"}, {"ref": "mohamedmustafashaban/march-machine-2025", "kernel_id": "76609212"}, {"ref": "dolbokostya/lb-0-025-random-forest", "kernel_id": "76583495"}, {"ref": "cf33333/gogogogogo", "kernel_id": "76595567"}, {"ref": "dilrabonu/march-machine-learning", "kernel_id": "76831604"}, {"ref": "neeraj8180/complete-visualization-and-eda-march-ml-mania-2025", "kernel_id": "76542481"}, {"ref": "sadettinamilverdil/ncaa-basketball-predictions-with-xgboost", "kernel_id": "76671558"}, {"ref": "ujihash/eda-and-simple-logisticregression", "kernel_id": "76770327"}, {"ref": "fakeeyes2w/simple-eda", "kernel_id": "76594329"}, {"ref": "bryancrossman/mmlm-elo-rating", "kernel_id": "76692185"}, {"ref": "michaelrowen/non-overfitting-optuna-example", "kernel_id": "76876366"}, {"ref": "michaelrowen/0-00000-rf-et-ensemble-optuna", "kernel_id": "76584962"}, {"ref": "michaelrowen/a-more-aggressive-leap", "kernel_id": "76597980"}, {"ref": "santosh9860khatri/draft1", "kernel_id": "76958266"}, {"ref": "manjuan01/lb0-18554-thanks-for-paul-mooney", "kernel_id": "76406021"}, {"ref": "tasnimislammanami/explore-seed-df", "kernel_id": "76408828"}, {"ref": "tasnimislammanami/tournament-result-check", "kernel_id": "76410367"}, {"ref": "samarthpujari/march-mania-2025-competition", "kernel_id": "76570420"}, {"ref": "samarthpujari/march-mania-2025-competition-2", "kernel_id": "76634199"}, {"ref": "samarthpujari/march-mania-2025-lb-0-00000", "kernel_id": "76633581"}, {"ref": "pepushi/march-machine-learning-mania-2025", "kernel_id": "76512343"}, {"ref": "pepushi/stacking-ensamble", "kernel_id": "76596411"}, {"ref": "shahfahadkhalil/march-machine-learning-mania-2025-part-2", "kernel_id": "76664751"}, {"ref": "shahfahadkhalil/march-machine-learning-mania-2025-part-1", "kernel_id": "76655407"}, {"ref": "jiaoyouzhang/ncaa-2026-final-lightgbm", "kernel_id": "76416771"}, {"ref": "sammyanagavah/mmlme-2025", "kernel_id": "76781014"}, {"ref": "anmolsodhi/notebook1624727186", "kernel_id": "76740099"}, {"ref": "rahuljiwane/march-ml-mania-rahul-jiwane-rj", "kernel_id": "76436079"}, {"ref": "noureddineridanr96/march-machine-learning-mania-2025", "kernel_id": "76397065"}, {"ref": "aman2626786/prediction-on-data-for-ml-mania-2025", "kernel_id": "76665890"}, {"ref": "tatesbuys/simple-starter-notebook-for-march-mania-2025", "kernel_id": "76728582"}, {"ref": "hertryggr/lb-0-00000-randomforest-with-hyperparameter", "kernel_id": "76605417"}, {"ref": "olaflundstrom/march-machine-learning-mania-2025-olaf-laitinen", "kernel_id": "76649461"}, {"ref": "rajeshmanivibez/march-machine-learning-mania-2025-competition", "kernel_id": "76901340"}, {"ref": "pranay7867/stage-1-ncaa-tournament-2025", "kernel_id": "76757274"}, {"ref": "qianruan2001/notebook705e77253a", "kernel_id": "76718909"}, {"ref": "dilushanvigneswaran/marchmadness-firstmodel", "kernel_id": "76441999"}, {"ref": "lindundakalaluka/march-machine-learning-mania-2025", "kernel_id": "76722455"}, {"ref": "martinsaleh/march-mania-2025-lb-0-00000", "kernel_id": "76988364"}, {"ref": "monuyadav15/notebookc580eb2570", "kernel_id": "76953067"}, {"ref": "raunakumar/march-mlm-2025-2v", "kernel_id": "76667830"}, {"ref": "mertdilekmen/predictions-for-2025-ncaa-with-new-features", "kernel_id": "76925695"}, {"ref": "kerta27/mmlm2025-randomforest-optuna-lb-0-00000", "kernel_id": "76415904"}, {"ref": "irnmotwani/notebook6ead85f844", "kernel_id": "76956394"}, {"ref": "girlboss/mmlm2025-pytorch-optuna", "kernel_id": "77606071"}, {"ref": "girlboss/mmlm2025-pytorch-lb-0-00000", "kernel_id": "77602795"}, {"ref": "pcjimmmy/college-schedule", "kernel_id": "77924928"}, {"ref": "pernyc/mm-2k25-ground-truth-and-baseline-evaluation", "kernel_id": "77063879"}, {"ref": "andreazamberletti/shot-at-march-madness-predictions", "kernel_id": "77810741"}, {"ref": "rsa013/bracket-simulation-visualization-2025", "kernel_id": "77156121"}, {"ref": "jazivxt/3d-printed-ball", "kernel_id": "77236764"}, {"ref": "jaslee2/xgb-gb-rf-optuna", "kernel_id": "77274151"}, {"ref": "takuji/march-mania-2025-tutorial-japanese", "kernel_id": "77064007"}, {"ref": "adsamardeep/mania-v2", "kernel_id": "77465333"}, {"ref": "henryjavier/simple-starter-notebook-for-march-mania-2025", "kernel_id": "77887690"}, {"ref": "aymanerbaati/ml-march-mania", "kernel_id": "77331886"}, {"ref": "varungholap/march-machine-learning-challenge-1", "kernel_id": "77208198"}, {"ref": "abidmohamednadhir/full-detailed-eda-with-prediction", "kernel_id": "77062553"}, {"ref": "kychanh/paris-madness-2023", "kernel_id": "77777396"}, {"ref": "nnchowdary/notebookf65c982eb9", "kernel_id": "77397976"}, {"ref": "abhinavsharma0706/mania", "kernel_id": "77783679"}, {"ref": "abhinavsharma0706/march3", "kernel_id": "77787958"}, {"ref": "ayushsq/improvement-2-3-25", "kernel_id": "77093687"}, {"ref": "sandiledesmondmfazi/tournament-predictions-ncaa-2025", "kernel_id": "77813597"}, {"ref": "pruthaannadate/catboost-march-machine-learning-mania-25", "kernel_id": "77869693"}, {"ref": "fredericnicholson/hoops-i-did-it-again", "kernel_id": "77396354"}, {"ref": "nikita7364777/mmm-lb-0-000-linear-model-ensemble-model", "kernel_id": "77043329"}, {"ref": "frankivey/fivey-marchmlmania2025", "kernel_id": "77344485"}, {"ref": "havizul/marchmlmania2025compt", "kernel_id": "77415034"}, {"ref": "ulrikeherold/marchmadness-2025-ncaa-basketball-tournament", "kernel_id": "77943312"}, {"ref": "amirmohammadparvizi/forecasting-2025-ncaa-basketball-tournament-outcom", "kernel_id": "77789343"}, {"ref": "alexandrelemercier/march-ml-mania-2025-autogluon-and-pals-optuna", "kernel_id": "77176297"}, {"ref": "elliottchang2/marchmadness", "kernel_id": "77693492"}, {"ref": "cf33333/simple-starter-notebook-for-march-mania-202-e95110", "kernel_id": "77081264"}, {"ref": "aravindproml/marchmadness2025", "kernel_id": "77941585"}, {"ref": "ujihash/feature-engineering-for-teams-season", "kernel_id": "77379187"}, {"ref": "dhudubhandari/march-mania-eda-2025", "kernel_id": "77017238"}, {"ref": "onya31/20250303mmlm", "kernel_id": "77772164"}, {"ref": "fakeeyes2w/lgbm-submission", "kernel_id": "77175450"}, {"ref": "santosh9860khatri/march-machine-learning-2025", "kernel_id": "77030920"}, {"ref": "santosh9860khatri/submission-19", "kernel_id": "77346623"}, {"ref": "gagazzy/v3-add-conference", "kernel_id": "77841344"}, {"ref": "georgereader/ncaa-march-madness-2025-eda", "kernel_id": "77219038"}, {"ref": "mushei/mania-model", "kernel_id": "77237385"}, {"ref": "jotiroy28/march-machine-learning-mania-2025", "kernel_id": "77248666"}, {"ref": "amarahmedhamed/march-ml-mania-2025-lightgbm-model", "kernel_id": "77554346"}, {"ref": "aliwattoo/march-machine-learning-mania-2025-score-predictio", "kernel_id": "77201473"}, {"ref": "gouthamkrishna77/eda-ncaa-with-xgboost", "kernel_id": "77318325"}, {"ref": "chenchentong/ncaa-prediction", "kernel_id": "77295704"}, {"ref": "justinsteve/march-madness-eda-with-dl-mens-tournament", "kernel_id": "77395178"}, {"ref": "loscar123/men-s-tournament", "kernel_id": "77922759"}, {"ref": "ahmedyacinlacheheb/bball-eda-2", "kernel_id": "77403399"}, {"ref": "josephnashed/last-version-for-march-madness", "kernel_id": "77260825"}, {"ref": "sergeykhodzhayev/gnn-xgb-ncaa", "kernel_id": "77476858"}, {"ref": "kopikaselvarasa/refine-model", "kernel_id": "77465756"}, {"ref": "jerryphung/march-machine-learning-mania-2025-analysis", "kernel_id": "77694097"}, {"ref": "dilushanvigneswaran/marchmadness-finalmodel", "kernel_id": "77160440"}, {"ref": "muriukiian99/notebook94e6da730a", "kernel_id": "77221856"}, {"ref": "siddharth776/march-mania-1-0", "kernel_id": "77558792"}, {"ref": "yang711/simple-starter-notebook-for-march-mania-2025", "kernel_id": "77846455"}, {"ref": "photunix/ml2025-predict", "kernel_id": "78681649"}, {"ref": "photunix/simple-ncaa-stats-elo-pipeline", "kernel_id": "78682302"}, {"ref": "jaredcross/quick-massey-based-predictions", "kernel_id": "78210483"}, {"ref": "jaredcross/silver-free-pure-elo-based-projections", "kernel_id": "78834995"}, {"ref": "brianedwards/net-daynum-4-notebook", "kernel_id": "78767324"}, {"ref": "brianedwards/net-final-pre-1", "kernel_id": "78948218"}, {"ref": "brianedwards/net-final-model-2", "kernel_id": "78958828"}, {"ref": "brianedwards/net-ensemble", "kernel_id": "78406253"}, {"ref": "brianedwards/march-machine-learning-mania-2025", "kernel_id": "78074761"}, {"ref": "brianedwards/march-ml-mania-preprocessing", "kernel_id": "78292225"}, {"ref": "kaito510/updated-goto-conversion-winning-solution", "kernel_id": "78820226"}, {"ref": "raddar/ncaa2025", "kernel_id": "78679580"}, {"ref": "raddar/vilnius-ncaa", "kernel_id": "78175182"}, {"ref": "djscott1909/march-madness-2025-forecasts", "kernel_id": "78746784"}, {"ref": "menanick/intro-to-elo-beat-your-ml-model", "kernel_id": "78534092"}, {"ref": "menanick/simple-predictions-seeds-probability", "kernel_id": "78326317"}, {"ref": "ashunair47/final-ncaa-prediction-2025", "kernel_id": "78579996"}, {"ref": "aishwaryavaru/march-ml-mania-2025-predictions", "kernel_id": "78128093"}, {"ref": "shaileshshettyd/ncaa-basketball-tournament-analysis", "kernel_id": "78703869"}, {"ref": "dedquoc/march-mania-2025-quick-resolve-with-xgboost", "kernel_id": "78353363"}, {"ref": "takatoueno/greenhorizon-150th-solution", "kernel_id": "78953829"}, {"ref": "jbomitchell/ncaa-25-brier-patching-the-lithuanian-gambit", "kernel_id": "78805158"}, {"ref": "matthewdzwil1/mmm-2025-numbers-never-lie", "kernel_id": "78772923"}, {"ref": "zhudong1949/vilnius-goto-conversion-winning-solution", "kernel_id": "78825126"}, {"ref": "goduguanilhimam/march-mania-with-eda", "kernel_id": "78864928"}, {"ref": "abdulbasit0040/march-machine-learning-mania-2025", "kernel_id": "78645081"}, {"ref": "abdulbasit0040/march-machine-learning-mania-2025-ab", "kernel_id": "78830645"}, {"ref": "majdihbibi/kaggle-march-machine-learning-mania-2025", "kernel_id": "78909505"}, {"ref": "josephnehrenz/march-mania-clean-simple-6-feature-rf-model-w-r", "kernel_id": "78829765"}, {"ref": "lauvfpitipak/2025-ncaa-basketball-tournaments", "kernel_id": "78221153"}, {"ref": "lauvfpitipak/lgbm-nbaa-mania-2025", "kernel_id": "78444487"}, {"ref": "nishaanamin/bracketology-part-6-team-stats", "kernel_id": "78782071"}, {"ref": "nishaanamin/bracketology-part-3-heatmaps-archetypes", "kernel_id": "78781050"}, {"ref": "nishaanamin/bracketology-part-4-miscellaneous", "kernel_id": "78780292"}, {"ref": "nishaanamin/bracketology-part-2-confs-seeds-regions", "kernel_id": "78780109"}, {"ref": "rishabhbhartiya/forecast-the-2025-ncaa-basketball-tournaments", "kernel_id": "78383421"}, {"ref": "youssefelzahar/man-data-and-predict-lose-and-win-diff", "kernel_id": "78046092"}, {"ref": "jakewright/feature-and-param-tuning-public-score-0-14713", "kernel_id": "78886023"}, {"ref": "prajwaldongre/march-ml-2025-eda-only-advanced-insights", "kernel_id": "78112784"}, {"ref": "takumuwakamatsu/7th-place-notebook-ncaa2025", "kernel_id": "78775830"}, {"ref": "nirmalsankalana/march-ml-mania-2025-feature-engineering", "kernel_id": "78620897"}, {"ref": "nirmalsankalana/march-machine-learning-mania-2025-xgb-classifier", "kernel_id": "78908514"}, {"ref": "oumiww/split-elo-rating-bradley-terry-model-lightgb", "kernel_id": "78212186"}, {"ref": "jawaharbabuv/ncaa-march-madness-prediction", "kernel_id": "78747169"}, {"ref": "glipko/march-mania-hypothesis-1", "kernel_id": "78098721"}, {"ref": "umesalma/logisticregression-model", "kernel_id": "78941102"}, {"ref": "ayushsq/1-xgboost", "kernel_id": "78523601"}, {"ref": "srastiagrawal/lstmmodel", "kernel_id": "78938707"}, {"ref": "caiomelo22/march-madness-2025", "kernel_id": "78255061"}, {"ref": "bosstinanderson/marchmadnessnn2025v2", "kernel_id": "78844597"}, {"ref": "kartikgs/notebook400295ebad", "kernel_id": "78523096"}, {"ref": "frankivey/fivey-marchmadness-dataset", "kernel_id": "78462121"}, {"ref": "tariqkanaan/lstm-work-done-8", "kernel_id": "78069968"}, {"ref": "tariqkanaan/train-and-submit-5", "kernel_id": "78205607"}, {"ref": "muhammetenesnas/march-mania-comp-2025", "kernel_id": "78883500"}, {"ref": "michael1o2/march-mania-1", "kernel_id": "78899165"}, {"ref": "shlokraval/mmlm-2025", "kernel_id": "78938368"}, {"ref": "iamadityavarma/march-mania-2025-complete-work", "kernel_id": "78908023"}, {"ref": "nicholas33/march-madness-2025-nb153", "kernel_id": "78951848"}, {"ref": "anirudhbagri1421/march-ml-brier-score-prediction-by-anirudh", "kernel_id": "78807741"}, {"ref": "shivangi470/predict-ncaa-tournament-2025", "kernel_id": "78813379"}, {"ref": "davidsteffes/march-madness-dstef", "kernel_id": "78633228"}, {"ref": "amarpreetkaur101/marchmadness-ak-xgboostv2", "kernel_id": "78913112"}, {"ref": "amarpreetkaur101/marchmadness-ak-randomforestv2", "kernel_id": "78910856"}, {"ref": "harshavarma02/ncaa-basketball-tournament-prediction", "kernel_id": "78692021"}, {"ref": "santosh9860khatri/submission-10", "kernel_id": "78101480"}, {"ref": "jackshuto/mml-mania-2025", "kernel_id": "78279927"}, {"ref": "bhartiianjali/notebook91c800e61d", "kernel_id": "78447688"}, {"ref": "mariamhamada/march-mania-2025-probability-calibration", "kernel_id": "78734807"}, {"ref": "monkmode1/notebook38bef95f1c", "kernel_id": "78866911"}, {"ref": "ritesh200koj/notebook90a80152e7", "kernel_id": "78957537"}, {"ref": "kay2304/march-machine-learning-mania", "kernel_id": "78633581"}, {"ref": "victorgearhead/march-mania-ncaa2025", "kernel_id": "78894908"}, {"ref": "krishnayadav456wrsty/mania2025-champion-advanced-feature-engineering", "kernel_id": "78215124"}, {"ref": "robertlearsch/predict-point-differential-to-predict-wins", "kernel_id": "78901756"}, {"ref": "divishjindal09/march-ml-mania", "kernel_id": "78188388"}, {"ref": "mohammedelhadi23/march-machine-learning-mania-2025", "kernel_id": "78382003"}, {"ref": "adrinulisesramrez/march-madness-predictions", "kernel_id": "78914900"}, {"ref": "sammyanagavah/mlmme25", "kernel_id": "78787192"}, {"ref": "anmolsodhi/main-final-script", "kernel_id": "78792639"}, {"ref": "utkarsh1611/kaggle-ncaa-file", "kernel_id": "78638097"}, {"ref": "salehahmedsaleh/march-ml-maina", "kernel_id": "78236932"}, {"ref": "chenchentong/ncaa-prediction-v2", "kernel_id": "78134957"}, {"ref": "benjaminhaddad1/march-madness-prediction-bracket", "kernel_id": "78863665"}, {"ref": "khinkaungsanthutun/updated-goto-conversion", "kernel_id": "78942724"}, {"ref": "w007425y/ncaa2025-3th-place-solution", "kernel_id": "78825172"}, {"ref": "hertryggr/goto-conversion-15-place", "kernel_id": "78828371"}, {"ref": "dungquang8229/march-mania", "kernel_id": "78371016"}, {"ref": "anian7/m-predictions", "kernel_id": "78928157"}, {"ref": "anian7/w-pred", "kernel_id": "78931842"}, {"ref": "anian7/w-predictions", "kernel_id": "78930125"}, {"ref": "madhisham/march-machine-learning-mania", "kernel_id": "78309807"}, {"ref": "hwangsungi/ncaa-macrh-machine-learning", "kernel_id": "78403787"}, {"ref": "hwangsungi/ncaa-split-ver", "kernel_id": "78778222"}, {"ref": "hwangsungi/just-elo-calc", "kernel_id": "78853194"}, {"ref": "matsumotoarcade/nnba-datasheet", "kernel_id": "78432548"}, {"ref": "diladiclekeke/march", "kernel_id": "78537812"}, {"ref": "soochangchoi/ncaa-seed-score-use-xgboost", "kernel_id": "78685409"}, {"ref": "seokhyeonkwon/march-mania-2025-dl-seo-droid-prediction", "kernel_id": "78848277"}, {"ref": "allwyndias/march-ml-mania-prediction-model-4", "kernel_id": "78881733"}, {"ref": "aksharpatidar/marchmlmaniar-xgboost", "kernel_id": "78861405"}, {"ref": "timinsley/march-machine-learning-mania-2025-insley", "kernel_id": "78951315"}, {"ref": "jordanmcvay/march-madness-prediction", "kernel_id": "78270582"}, {"ref": "michaellock00/march-madness", "kernel_id": "78907092"}, {"ref": "kilianschulz/predicting-madness", "kernel_id": "78567260"}, {"ref": "djscott1909/march-madness-2025-forecasts-summary", "kernel_id": "79122204"}, {"ref": "modeh7/predict-your-future-lb-score", "kernel_id": "79220589"}, {"ref": "teeyee314/mmlm25-lb-ranks-scores", "kernel_id": "79097778"}, {"ref": "quekyaojing/marchmadness-prediction", "kernel_id": "79545077"}, {"ref": "mehmetakifciftci/marchmeta-ensemble-intelligence-for-madness-2025", "kernel_id": "79316703"}, {"ref": "kaikealves/nfisis", "kernel_id": "79846774"}, {"ref": "bhavana116/ncaa-ml-project", "kernel_id": "79593522"}, {"ref": "patilaakash619/march-madness-prediction-model", "kernel_id": "79171997"}, {"ref": "kritsadakruapat/randomforest-opt", "kernel_id": "79127229"}, {"ref": "phamletunhi/march-ml-mania-2025-eda-file-explorations", "kernel_id": "79185843"}, {"ref": "reenabharath/march-machine-learning-mania-2025", "kernel_id": "79643056"}, {"ref": "miyakokujo/march-machine-learning-mania-2025", "kernel_id": "79358810"}, {"ref": "beatafaron/mmlm-2025-rf-xgb-nn-0-0000135", "kernel_id": "79507004"}, {"ref": "shouryamishra15/notebookd78296769e", "kernel_id": "79943375"}, {"ref": "davidgathara/forecast-the-2025-ncaa-basketball-tournaments", "kernel_id": "79989677"}, {"ref": "lloydlengwe/notebook7bb24e82e4", "kernel_id": "79381087"}, {"ref": "mikeskim/gold-medal-solution-mike-kim", "kernel_id": "80319684"}, {"ref": "kaito510/who-used-goto-conversion", "kernel_id": "80516451"}, {"ref": "modeh7/final-solution-ncaa-2025", "kernel_id": "80606256"}, {"ref": "vedantkasargod/mmlm-2025", "kernel_id": "80718638"}, {"ref": "davidomungala/final-tf-baseline-for-portfolio", "kernel_id": "80081644"}, {"ref": "palvinder2006/march-ml-mania-2025", "kernel_id": "80282490"}, {"ref": "ghjklcfghj/march-mania-2025", "kernel_id": "80444442"}, {"ref": "sujal02/notebook1a17252342", "kernel_id": "80363345"}, {"ref": "sujal02/notebook3b295bc960", "kernel_id": "80450053"}, {"ref": "sujal02/s089-s078-bda-ica", "kernel_id": "80450055"}, {"ref": "vinitsolanki05/notebook1811fb6a4c", "kernel_id": "80399654"}, {"ref": "mdsufiyanansari/notebookaaced09de4", "kernel_id": "80399069"}, {"ref": "fizadd/march-machine-learning-mania-2025", "kernel_id": "80733521"}, {"ref": "fizadd/book-1", "kernel_id": "80291149"}, {"ref": "sarwar0/notebookdbf3be5ff0", "kernel_id": "80325358"}, {"ref": "sarwar0/march-machine-learning-by-ghulam-sarwar", "kernel_id": "80269328"}, {"ref": "dureyashfeen/ml-mania", "kernel_id": "80359064"}, {"ref": "debanshupaul/notebookd78f49d32c", "kernel_id": "80200614"}, {"ref": "akkkkkkkkki47/ml-ca3-70", "kernel_id": "80398965"}, {"ref": "siddpalesh09/65-march-maniac", "kernel_id": "80373908"}, {"ref": "hemangshah1/ml-ca3-d11ada69", "kernel_id": "80400363"}, {"ref": "vedantdhaktode1/ml-ca3", "kernel_id": "80399446"}, {"ref": "sanjanasharma22/sanjana-66-ml", "kernel_id": "80401496"}, {"ref": "krishnaaaap/march-ml-mania-2025-brier-score-prediction", "kernel_id": "80400272"}, {"ref": "dishasheregar/basketball-dataset", "kernel_id": "80631491"}, {"ref": "dishasheregar/march-machine-learning-mania-2025", "kernel_id": "80629567"}, {"ref": "annotman/march-ml-mania-2025-ncaa-2", "kernel_id": "80300892"}, {"ref": "annotman/march-ml-mania-2025-ncaa", "kernel_id": "80297174"}, {"ref": "shlokyadav2004/march-mania-solve", "kernel_id": "80401561"}, {"ref": "aziel888/updated-goto-conversion-winning-solution", "kernel_id": "80698716"}, {"ref": "landonlc/teamprojectmarchmadness", "kernel_id": "81335484"}, {"ref": "joeymills/teamprojectmarchmadness", "kernel_id": "81315276"}, {"ref": "joeymills/teamprojectmarchmadness-91e5d1", "kernel_id": "81499893"}, {"ref": "stpeteishii/mania2025-baseline-prediction-pipeline", "kernel_id": "89106640"}, {"ref": "rajgupta987/march-mania-2025", "kernel_id": "89450994"}, {"ref": "ceecreative/2025-ncaa-basketball-data-analysis", "kernel_id": "103322774"}, {"ref": "juleswcta/simple-starter-notebook-for-march-mania-2025", "kernel_id": "108555856"}, {"ref": "martynaplomecka/march-machine-learning-mania-2026-starter", "kernel_id": "109706688"}, {"ref": "ravi20076/ncaa2026-public-baseline-v2", "kernel_id": "110841857"}, {"ref": "ravi20076/ncaa2026-public-baseline-v1", "kernel_id": "110043416"}, {"ref": "osmanozcanli/2025-basketball-tournaments-prediction", "kernel_id": "110217490"}, {"ref": "mithra009/baseline", "kernel_id": "111161354"}, {"ref": "mithra009/isotonic-calibaration-with-all-features", "kernel_id": "111158544"}, {"ref": "mithra009/model-building-based-on-the-elo", "kernel_id": "111137749"}, {"ref": "mithra009/5-model-meta-stack-residual-mlp", "kernel_id": "111247364"}, {"ref": "rsa013/mmlm-solution-2026", "kernel_id": "112194299"}, {"ref": "evgendvorkin/catboost-elo", "kernel_id": "112510969"}, {"ref": "galabuhatzira/workshop-in-machine-learning-and-data-notebook", "kernel_id": "117532916"}]}
{"competition_id": "91498", "kernels": [{"ref": "mpwolke/et-phone-keras-home", "kernel_id": "79853437"}, {"ref": "octaviograu/baseline-dinov2-aliked-lightglue", "kernel_id": "79905538"}, {"ref": "rishabhbhartiya/imc-2025-outlier-detection", "kernel_id": "79970346"}, {"ref": "eduardtrulls/imc25-submission", "kernel_id": "79815998"}, {"ref": "abhinavsharma0706/image", "kernel_id": "79909598"}, {"ref": "sharifi76/eda-imc-locations", "kernel_id": "79853108"}, {"ref": "brijeshkipurohit108/brijesh-image-matching-challenge-2025", "kernel_id": "79999450"}, {"ref": "joshuajhan/vlm-clustering", "kernel_id": "79923368"}, {"ref": "olaflundstrom/image-matching-challenge-2025", "kernel_id": "79973450"}, {"ref": "ayushkumar223/image", "kernel_id": "79964539"}, {"ref": "kiaberenji/reconstructing-reality-a-deep-dive-into-the-art-o", "kernel_id": "79949250"}, {"ref": "stpeteishii/image-matching-gallery", "kernel_id": "80928549"}, {"ref": "liuhaixu/fork-of-lb-28-12-first-dummy-submission-25aea8", "kernel_id": "80211991"}, {"ref": "peterorazulike/notebooke84c2ffb2b", "kernel_id": "80232420"}, {"ref": "ankandebnath/image-matching-challenge-2025-1", "kernel_id": "80163534"}, {"ref": "noelsjacob/starter-advance-pipeline-lightglue-aliked-sfmrecon", "kernel_id": "80071652"}, {"ref": "bulkobubulko/imc25-submission-glomap-fastmap", "kernel_id": "80647840"}, {"ref": "annatar1987/image-matching-challenge-2025", "kernel_id": "80200226"}, {"ref": "devanjalipatel/image-matching-challenge-2025", "kernel_id": "80844536"}, {"ref": "pragyatripathiii23/beginner-friendly-1st-submission-eda-orb", "kernel_id": "80020286"}, {"ref": "pragyatripathiii23/beginner-friendly-2nb-featurematching-orb", "kernel_id": "80453343"}, {"ref": "roshan123kumar/image-maching-code", "kernel_id": "80421895"}, {"ref": "rahuljiwane/notebook-image-matching-rahul-jiwane", "kernel_id": "80499332"}, {"ref": "mohammadteimoury/image-matching-challenge-2025", "kernel_id": "80007916"}, {"ref": "mimrankhalid/image-matching-challenge-2025", "kernel_id": "80093756"}, {"ref": "olaflundstrom/image-matching-challenge-2025-dtu", "kernel_id": "80017275"}, {"ref": "thahirizzath/image-matching", "kernel_id": "80238288"}, {"ref": "halee210/michael", "kernel_id": "80807476"}, {"ref": "bandit33344569/image-matching-challenge-2025", "kernel_id": "80998006"}, {"ref": "moumita3/notebookfb07b896a6", "kernel_id": "80665523"}, {"ref": "mohsenazizyrad/beginner-friendly-2nb-featurematching-orb", "kernel_id": "80633793"}, {"ref": "kayrahanozcan/image-matching-challenge-2025", "kernel_id": "80576806"}, {"ref": "dedquoc/imc-2025-quick-process", "kernel_id": "81211985"}, {"ref": "nehadas55/image-matching-challenge-2025", "kernel_id": "81391890"}, {"ref": "asdkarma/visualising-3d-reconstructions", "kernel_id": "81128286"}, {"ref": "jijagallery/challeng-in-images", "kernel_id": "81483332"}, {"ref": "yangxin9997/baseline-dinov2-aliked-lightglue", "kernel_id": "81917603"}, {"ref": "variphx/baseline-dinov2-aliked-lightglue", "kernel_id": "81344330"}, {"ref": "keyushnisar/starters-imc-dinvosupergluealiked", "kernel_id": "81092349"}, {"ref": "agnibharoy10/image-matching-challenge", "kernel_id": "81041337"}, {"ref": "wuhugugu/base-on-5000-0", "kernel_id": "81301582"}, {"ref": "ksushashorokh666/notebook0449c981cc", "kernel_id": "81002157"}, {"ref": "ksushashorokh666/image-matching-challenge-2025", "kernel_id": "81005037"}, {"ref": "tmyok1984/colmap-offline-installer", "kernel_id": "82364048"}, {"ref": "stpeteishii/orb-feature-detection-and-matching", "kernel_id": "82174604"}, {"ref": "columbia2131/sample-code-for-vggt-inference", "kernel_id": "82149311"}, {"ref": "utkarshtomar736/dataanalysis", "kernel_id": "82351109"}, {"ref": "jocelyndumlao/imchallenge-2025-orb-dummy-pose-baseline", "kernel_id": "82925689"}, {"ref": "saifdaoud2/pycolmap-imc-2025", "kernel_id": "82008170"}, {"ref": "rohithjuluru2201/image-matching", "kernel_id": "82423922"}, {"ref": "abhinavsharma0706/image-match", "kernel_id": "82732843"}, {"ref": "mr0106/3d-imc", "kernel_id": "82985537"}, {"ref": "zaharkohut/baseline", "kernel_id": "82586989"}, {"ref": "aryan208/image-matching-challenge-2025", "kernel_id": "82792087"}, {"ref": "aryan208/trying1", "kernel_id": "82717718"}, {"ref": "mykolavysotskyi/dinov2-r2d2-lightglue", "kernel_id": "82556036"}, {"ref": "drchenb/fork-of-baseline-dino-aliked-lightglue-e48-9560cf", "kernel_id": "82678714"}, {"ref": "drchenb/baseline-dino-alik-1aecda", "kernel_id": "82894041"}, {"ref": "goattamer/3-d-reconstruction", "kernel_id": "82132721"}, {"ref": "samasiayushman/guide-visualization-statistics-approach", "kernel_id": "82486056"}, {"ref": "sangampaudel530/image-matching-challenge-2025", "kernel_id": "82028627"}, {"ref": "eldermireku/image-matching-challenge-2025", "kernel_id": "82460962"}, {"ref": "kindasomethin/image-matching-easy-version-begineer-freindly", "kernel_id": "82962461"}, {"ref": "siddharth776/baseline-dino-aliked-lightglue-improved", "kernel_id": "82134183"}, {"ref": "matvejprytkov/final-version", "kernel_id": "82538178"}, {"ref": "tmyok1984/kornia-local-feature-weights", "kernel_id": "83480249"}, {"ref": "tmyok1984/incremental-model-refiner-binary", "kernel_id": "83402720"}, {"ref": "romulol/loftr", "kernel_id": "83397018"}, {"ref": "samratthapa/imc2025-submission-tuning", "kernel_id": "83818075"}, {"ref": "mos3santos/teste-4", "kernel_id": "83473705"}, {"ref": "takumuwakamatsu/imc2025-wakama1994-baseline-dino-aliked-lightglue", "kernel_id": "83173371"}, {"ref": "motono0223/imc2025-maa108-ets-example", "kernel_id": "83465139"}, {"ref": "motono0223/imc2025-11th-place-solution", "kernel_id": "83932057"}, {"ref": "mhazett/image-matching-challenge", "kernel_id": "83564089"}, {"ref": "pouriania/no-10-submission-lightglue-modified-dataset-ver-1", "kernel_id": "83936915"}, {"ref": "xtcpete/merge-rdd-lightglue", "kernel_id": "83852809"}, {"ref": "davidomungala/imc2025-main-pipeline", "kernel_id": "83791076"}, {"ref": "nitinmuragi/baseline-dino-aliked-lightglue", "kernel_id": "83735908"}, {"ref": "nitinmuragi/image-matching-challenge-2025", "kernel_id": "83990943"}, {"ref": "suthcong/baseline-dino-aliked-lightglue-edit-params", "kernel_id": "83204212"}, {"ref": "gaebalja626/baseline-dinov2-aliked-lightglue", "kernel_id": "83129564"}, {"ref": "cardata/image-matching-challenge-may-25", "kernel_id": "83388866"}, {"ref": "dgying/imc2025-submission-silk", "kernel_id": "83175049"}, {"ref": "shahzaib0806/image-matching-challenge-2025-shahzaib", "kernel_id": "83099680"}, {"ref": "eldermireku/imc25-edit", "kernel_id": "83922905"}, {"ref": "cyw001/image-matching-2025-notebook", "kernel_id": "83129360"}, {"ref": "kkkismet/baseline-dino-aliked-lightglue", "kernel_id": "83092789"}, {"ref": "robertmcs/image-matching-challenge-2025", "kernel_id": "83279780"}, {"ref": "tmyok1984/imc2025-exp66-vggt-with-refiner", "kernel_id": "84337171"}, {"ref": "yuanlin08/mast3r-gradio-demo", "kernel_id": "84602893"}, {"ref": "yuanlin08/mast3r-fix", "kernel_id": "84610768"}, {"ref": "yuanlin08/mast3r-imc2025", "kernel_id": "84859900"}, {"ref": "somyapatra/imc25-compnbv3-dino-superpoint-lightglue-colmap", "kernel_id": "84896945"}, {"ref": "ishitabahamnia/image-challenge-notebook", "kernel_id": "84273813"}, {"ref": "ankitraj89/notebook98c16abd08", "kernel_id": "84237249"}, {"ref": "cudamax/lucky-wish", "kernel_id": "84198943"}, {"ref": "ns6464/imc2025-1st-place-solution", "kernel_id": "85152646"}, {"ref": "romulol/im-25-from-zero", "kernel_id": "85539498"}, {"ref": "stpeteishii/translation-rotation-vector-3d-plot", "kernel_id": "85264314"}, {"ref": "yuanlin08/v2-mast3r-imc2025", "kernel_id": "85392663"}, {"ref": "faykudbq/submission", "kernel_id": "85338747"}, {"ref": "stpeteishii/imc2025-cyprus-pycolmap-camera-positions", "kernel_id": "86042299"}, {"ref": "enemylist/image-matching-challenge-2025", "kernel_id": "86924639"}, {"ref": "bahmutsky/notebook4026c6b3a3", "kernel_id": "87015214"}, {"ref": "hananabhan/feature-detection-description-in-action", "kernel_id": "88051821"}, {"ref": "anjansingla24114012/vggt-implementation", "kernel_id": "92466366"}, {"ref": "devlinwaluja/finalized-pipeline", "kernel_id": "94610061"}, {"ref": "devlinwaluja/sc4000", "kernel_id": "96358101"}, {"ref": "devlinwaluja/sc4000-v3", "kernel_id": "96376690"}, {"ref": "frankhuex/notebook2d3c1b76cb", "kernel_id": "97774758"}, {"ref": "stpeteishii/dinov2-bike-image-similarity-search", "kernel_id": "99911114"}, {"ref": "vietdunggojo/finalized-pipeline", "kernel_id": "99302738"}, {"ref": "vietdunggojo/dino-aliked-lightglue2", "kernel_id": "99299442"}, {"ref": "umerali25/challenge", "kernel_id": "101909239"}, {"ref": "leviyoder/ml2-gan-notebook", "kernel_id": "102201058"}, {"ref": "i220605huzaifabin/cv-project-notebook", "kernel_id": "102665088"}, {"ref": "ibtihussain/computer-vision-imagematching-project", "kernel_id": "103739085"}, {"ref": "fatimaxxx/solution-new", "kernel_id": "103757870"}, {"ref": "huzaifa1231/imagematchingchallengediff", "kernel_id": "103802427"}, {"ref": "hasanqadir/baseline-challenge-dino-aliked-lightglue", "kernel_id": "103803405"}, {"ref": "hasanqadir/fork-of-baseline-dino-aliked-lightglue", "kernel_id": "103783305"}, {"ref": "k228708armanfaisal/fork-of-baseline-dino-aliked-lightglue", "kernel_id": "103480321"}, {"ref": "smak17/image-matching", "kernel_id": "103748279"}, {"ref": "k228719muhammad/v2-mast3r-imc2025", "kernel_id": "103044420"}, {"ref": "muhammadadil20/image-matching-cv-project", "kernel_id": "103746523"}, {"ref": "mudasirnaeem/project-cv-k224087-k228732-imc-2025", "kernel_id": "104277653"}, {"ref": "mudasirnaeem/project-cv-k224087-k228732-ok", "kernel_id": "104248565"}, {"ref": "muhammadameenbohio/image-matching", "kernel_id": "104134504"}, {"ref": "unaizaa/baseline-dino-aliked-lightglue-ee113b", "kernel_id": "104241110"}, {"ref": "umerali25/challenge-2", "kernel_id": "104109597"}, {"ref": "stpeteishii/colmap-free-vocab-tree-performance", "kernel_id": "105949018"}, {"ref": "stpeteishii/colmap-based-vocab-tree-performance", "kernel_id": "105911892"}, {"ref": "stpeteishii/imc2025-3d-reconstruction-w-match-vocab-tree", "kernel_id": "105890182"}, {"ref": "babydriver1233/optimized-pipeline-for-the-image-matching-challeng", "kernel_id": "105218350"}, {"ref": "babydriver1233/integrating-lejepa-for-enhanced-image-matching", "kernel_id": "105236658"}, {"ref": "godfery/project-report", "kernel_id": "105268381"}, {"ref": "mdnaimislam165436/imc-2025-sample-model", "kernel_id": "105403115"}, {"ref": "stpeteishii/imc2025-3d-reconstruction-w-vocab-tree-retriever", "kernel_id": "106033808"}, {"ref": "ahmedn1/lightglue-sfm-matching", "kernel_id": "115905737"}, {"ref": "solomontneo/prayhard", "kernel_id": "115485298"}, {"ref": "k224143aadilraja/fcv-proj-latest", "kernel_id": "116111022"}, {"ref": "henry920106/imc2025-1st-place-solution", "kernel_id": "121681027"}, {"ref": "harrypapkos/dinov2-aliked-lg-final", "kernel_id": "125517656"}, {"ref": "harrypapkos/mast3r-final", "kernel_id": "125514826"}, {"ref": "reidimucai/baseline-3rd-optimisation", "kernel_id": "125175078"}]}
{"competition_id": "91531", "kernels": [{"ref": "madhusudhananaidu/event-based-eye-tracking", "kernel_id": "78221395"}, {"ref": "madhusudhananaidu/eyetrack", "kernel_id": "78316647"}]}
{"competition_id": "91538", "kernels": []}
{"competition_id": "91568", "kernels": [{"ref": "tmuanamnh/efficient-b3", "kernel_id": "78852138"}, {"ref": "dexterkwok/cp3501-project-alexnet", "kernel_id": "79187041"}, {"ref": "tmuanamnh/googlenet", "kernel_id": "79333756"}, {"ref": "astriazhu/group-12-code-squeezenet1-0-vgg16-bn", "kernel_id": "80474655"}, {"ref": "astriazhu/group-12-code-densenet-201", "kernel_id": "80473971"}, {"ref": "astriazhu/group-12-densenet201", "kernel_id": "80587703"}, {"ref": "astriazhu/group-12-code-vgg16-bn-model", "kernel_id": "80691209"}, {"ref": "astriazhu/group-12-code-vgg16-bn-model-wd", "kernel_id": "80788844"}, {"ref": "letianyou/templateresnet18", "kernel_id": "80362518"}, {"ref": "letianyou/templatedensenet121", "kernel_id": "80362650"}, {"ref": "wengshenghao/cp3501-2025-tr2-retinamnist-classification-using", "kernel_id": "80767515"}, {"ref": "mylawang/group-12-vgg16-bn-model", "kernel_id": "80754903"}, {"ref": "mylawang/group-12-code-vgg16-bn", "kernel_id": "80479736"}, {"ref": "mylawang/group-12-code", "kernel_id": "80474588"}, {"ref": "mylawang/cp3501-group-12-resnet18", "kernel_id": "80472408"}, {"ref": "mylawang/group-12-resnet18", "kernel_id": "80470585"}, {"ref": "mylawang/group-12-code-vgg16-bn-model", "kernel_id": "80571236"}, {"ref": "guoyuye/code-vgg16-bn", "kernel_id": "80752960"}, {"ref": "guoyuye/group-12-code-vgg16-bn-model", "kernel_id": "80748851"}, {"ref": "guoyuye/cp3501-vgg16-bn", "kernel_id": "80762685"}, {"ref": "guoyuye/group-12-code", "kernel_id": "80474132"}, {"ref": "guoyuye/group-12-convnext-tiny", "kernel_id": "80470517"}, {"ref": "guoyuye/convnext-tiny1", "kernel_id": "80431826"}, {"ref": "guoyuye/group-12-code-convnext-tiny", "kernel_id": "80571173"}, {"ref": "guoyuye/group12-convnext-tiny", "kernel_id": "80573722"}]}
{"competition_id": "91570", "kernels": [{"ref": "tainenh/binary-classification", "kernel_id": "75145093"}, {"ref": "hunhnguynthanhton/notebook47fae815cc", "kernel_id": "77229723"}, {"ref": "hunhnguynthanhton/notebook8f9f9cd93b", "kernel_id": "77637806"}]}
{"competition_id": "91572", "kernels": [{"ref": "tainenh/multiclass-classification", "kernel_id": "75300831"}, {"ref": "tainenh/binary-classification", "kernel_id": "75145093"}, {"ref": "hunhnguynthanhton/notebookcc8f3c193c", "kernel_id": "77643668"}]}
{"competition_id": "91602", "kernels": []}
{"competition_id": "91604", "kernels": []}
{"competition_id": "91605", "kernels": [{"ref": "prathamjyotsingh/kaggle-hack-2", "kernel_id": "74993296"}, {"ref": "sumit2garg/hack-2", "kernel_id": "74989560"}, {"ref": "yugandhar21/notebook4500af3a6c", "kernel_id": "74993359"}, {"ref": "doggysmallnose/notebook-kaggle-hack-2", "kernel_id": "74991585"}, {"ref": "yatharthkohli2810/kaggle-hack-2", "kernel_id": "75022471"}, {"ref": "ridhamgar/102203014-ridham-garg2", "kernel_id": "75048000"}, {"ref": "sushantdahal10/notebookef838870e2", "kernel_id": "75069909"}, {"ref": "medha2901/notebookb21aa5acff", "kernel_id": "75026927"}, {"ref": "medha2901/linear-regression-approach", "kernel_id": "75007781"}, {"ref": "akhil06022004/notebook5bd698de44", "kernel_id": "75020604"}]}
{"competition_id": "91621", "kernels": []}
{"competition_id": "91622", "kernels": []}
{"competition_id": "91634", "kernels": [{"ref": "arpitrawat/decision-tree-and-optuna-0-99-recall-score", "kernel_id": "75521705"}, {"ref": "nicholasvettor/product-defect-detection-with-xgboost-and-optuna", "kernel_id": "76083513"}]}
{"competition_id": "91646", "kernels": []}
{"competition_id": "91649", "kernels": [{"ref": "yosukeyama/share-ps3c-maxvit-train-inference", "kernel_id": "76626512"}, {"ref": "jht010312/ps3c-solution", "kernel_id": "76642388"}, {"ref": "lina24/code-third-place-team-pap-smear-classification", "kernel_id": "76876334"}, {"ref": "chinmay026/ps3c-solution-using-residual-networks", "kernel_id": "78975991"}]}
{"competition_id": "91651", "kernels": []}
{"competition_id": "91653", "kernels": [{"ref": "omranshoaeip/fake-news-detection-depi3", "kernel_id": "75587686"}, {"ref": "sonualexantony/fake-news-detection-on-reddit-post", "kernel_id": "75385636"}, {"ref": "abdeltawabali/notebookc84094a193", "kernel_id": "75453124"}, {"ref": "abdeltawabali/notebook5649850808", "kernel_id": "75576379"}, {"ref": "donnahardy/deebae-depi-r100-naviebayesmodelevals", "kernel_id": "75447595"}, {"ref": "esraasaid/notebook2a33eae76c", "kernel_id": "76864889"}, {"ref": "hebamo7amed/fake-reddit-classification", "kernel_id": "76863443"}, {"ref": "khaledsrhan/fake-news-detection-khaled-srhan", "kernel_id": "76814039"}, {"ref": "xavierneo/fake-news-detection-using-deep-neural-networks", "kernel_id": "78343741"}, {"ref": "nikolasgegenava/kaggle-competitions-i-distilbert", "kernel_id": "82124424"}, {"ref": "kipshidze/misinformation-classification", "kernel_id": "82125149"}]}
{"competition_id": "91658", "kernels": []}
{"competition_id": "91663", "kernels": [{"ref": "billslagle/notebookc5f3dc2346", "kernel_id": "115301179"}]}
{"competition_id": "91664", "kernels": [{"ref": "thuynhivn/kaggle-project", "kernel_id": "75522969"}, {"ref": "danielgalili/kaggle-project-4-capestone", "kernel_id": "75362976"}, {"ref": "brianolave/notebook-for-competition", "kernel_id": "75259283"}]}
{"competition_id": "91668", "kernels": [{"ref": "weeeeeeweiyi/notebookfda6fed147", "kernel_id": "77092777"}]}
{"competition_id": "91673", "kernels": []}
{"competition_id": "91675", "kernels": [{"ref": "trishrustagi/notebookeebba71e2b", "kernel_id": "75294276"}, {"ref": "deepanshujoshi3012/multiple-model-by-stacking", "kernel_id": "75210619"}, {"ref": "deepanshujoshi3012/xg-boost", "kernel_id": "75176933"}, {"ref": "yatharthkohli2810/tensor-flow", "kernel_id": "75357737"}, {"ref": "sumit2garg/final-hack-2", "kernel_id": "75201070"}, {"ref": "ybrar16/notebook538948706e", "kernel_id": "75342804"}, {"ref": "ybrar16/kaggle-hack2", "kernel_id": "75342993"}, {"ref": "ybrar16/deepseek", "kernel_id": "75342729"}, {"ref": "ybrar16/notebook1ab6c54e8c", "kernel_id": "75342768"}, {"ref": "ttanya/notebook813458cdb8", "kernel_id": "75174102"}, {"ref": "jb2026/102383041-kaggle-hack-lab-exam-2-1", "kernel_id": "75366559"}, {"ref": "jb2026/102383041-kaggle-hack-lab-exam-2", "kernel_id": "75365058"}, {"ref": "navkaransing/notebook09ed8d292e", "kernel_id": "75254520"}, {"ref": "navkaransing/notebook884fb786f6", "kernel_id": "75207800"}, {"ref": "navkaransing/notebookb1ee0e3059", "kernel_id": "75207807"}, {"ref": "armaanpreet123/notebookbe92cee907", "kernel_id": "75252910"}, {"ref": "yashkukshal29/102203543-yashkukshal", "kernel_id": "75267501"}, {"ref": "yashkukshal29/102203543-yash-kukshal", "kernel_id": "75354978"}, {"ref": "abhinavraj091/notebook93eec80dd6", "kernel_id": "75197385"}, {"ref": "abhinavraj091/notebook603dda8f97", "kernel_id": "75188028"}, {"ref": "abhinavraj091/notebook1029027f82", "kernel_id": "75233345"}, {"ref": "abhinavraj091/notebook1b114e12c9", "kernel_id": "75335254"}, {"ref": "prince1703/stacking-lgb-xgb", "kernel_id": "75090090"}, {"ref": "cosmox23/model-check", "kernel_id": "75250986"}, {"ref": "akhil06022004/notebooke4f72b5498", "kernel_id": "75123460"}, {"ref": "akhil06022004/notebook37303bdb4c", "kernel_id": "75333448"}, {"ref": "anqitchoudhary/102203399-ankit", "kernel_id": "75355160"}, {"ref": "parishamahajan/kaggle-hack-2", "kernel_id": "76271079"}]}
{"competition_id": "91693", "kernels": [{"ref": "ssegui/recsys-baseline-top-popular", "kernel_id": "75072211"}]}
{"competition_id": "91698", "kernels": [{"ref": "jhansisri/binaryclassification-depression", "kernel_id": "75922005"}, {"ref": "laminkoko/multiple-model-comparison", "kernel_id": "76537842"}, {"ref": "icomert/depression-classification", "kernel_id": "79172023"}]}
{"competition_id": "91714", "kernels": [{"ref": "leonardoten/eda-understanding-your-backpack", "kernel_id": "75690752"}, {"ref": "here78682/s5e03-binary-prediction-with-rainfall-overview", "kernel_id": "75809685"}, {"ref": "defaultujijk/rainfall-prediction-catboost", "kernel_id": "76823791"}, {"ref": "dalloliogm/predicting-using-logistic-regression", "kernel_id": "77812309"}, {"ref": "dalloliogm/rain-prediction-using-xgboost-and-lightgbm", "kernel_id": "77816225"}, {"ref": "abhkaushik/feb-20th", "kernel_id": "77072123"}, {"ref": "lyalina/rainfall-and-scikit-learn-classifiers", "kernel_id": "77654545"}, {"ref": "narsil/knai-2025-03-03-rainfall-prediction", "kernel_id": "77815753"}, {"ref": "rockiecao/pss5e3-rainfallprediction-eda-modeling", "kernel_id": "77661272"}, {"ref": "cv13j0/binary-prediction-with-a-rainfall-of-trees", "kernel_id": "77628210"}, {"ref": "kumarandatascientist/xtratreeclassifier-v1-updated-multiplier-next-step", "kernel_id": "77727011"}, {"ref": "pratik2901/binary-prediction-with-a-rainfall", "kernel_id": "77673316"}, {"ref": "lucabasa/s05e03-rainfall", "kernel_id": "77782020"}, {"ref": "wangyong101/tidymodel-workflows-stack-glm-svm-earth-ranger", "kernel_id": "77669973"}, {"ref": "docxian/ps-s5-e03-it-s-raining-again", "kernel_id": "77884147"}, {"ref": "ryzhokhina/rainfallds-eda", "kernel_id": "77971226"}, {"ref": "obiaf88/rainfall-as-ts-and-ensamble-of-classifiers", "kernel_id": "77719855"}, {"ref": "rocktopus/xgboost-rainfall", "kernel_id": "77722744"}, {"ref": "stpeteishii/rainfall-lgbmregressor-w-optuna", "kernel_id": "77769202"}, {"ref": "stpeteishii/rainfall-catboost-w-optuna", "kernel_id": "77778484"}, {"ref": "stpeteishii/rainfall-catboostregressor-w-optuna", "kernel_id": "77857399"}, {"ref": "stpeteishii/rainfall-visualize-importance", "kernel_id": "77795030"}, {"ref": "stpeteishii/rainfall-lgbm-w-optuna", "kernel_id": "77642325"}, {"ref": "codeitnow/rainfall-pred", "kernel_id": "77885215"}, {"ref": "mpwolke/is-it-going-to-rain-kagglers", "kernel_id": "77627033"}, {"ref": "cooliocool11/rainfall-predictions", "kernel_id": "77630070"}, {"ref": "franro/rainfall-prediction", "kernel_id": "77895389"}, {"ref": "drakendan/rainfall-prediction-model", "kernel_id": "77662671"}, {"ref": "drakendan/rainfall-prediction-eda", "kernel_id": "77657034"}, {"ref": "devsubhash/keras-rainfall-prediction-eda", "kernel_id": "77732845"}, {"ref": "kkhandekar/rainfall-prediction-mlpclassifier-sklearn", "kernel_id": "77916783"}, {"ref": "hittmg/250301-playground-s5e3-minimal-code", "kernel_id": "77628605"}, {"ref": "yeonseokcho/rainfall-prediction-featuring", "kernel_id": "77661043"}, {"ref": "aaronisomaisom3/lgbm-bayesian-optimization-tuning", "kernel_id": "77835800"}, {"ref": "aaronisomaisom3/rain-or-shine-autotabpfn", "kernel_id": "77772578"}, {"ref": "adsamardeep/binary-v2", "kernel_id": "77666606"}, {"ref": "synchrocyclotron/lightautoml-no-effort", "kernel_id": "77717339"}, {"ref": "hopesb/rain-fall-prediction", "kernel_id": "77871070"}, {"ref": "swas06/rainfallmodelling", "kernel_id": "77878076"}, {"ref": "swas06/rainfallkeras", "kernel_id": "77953910"}, {"ref": "swas06/rainfall-eda-featureengineering", "kernel_id": "77826404"}, {"ref": "danieladif/rainfall-prediction-kaggle-tabular-series-03-25", "kernel_id": "77667442"}, {"ref": "itskumar/rainfall-prediction-eda-ml", "kernel_id": "77635984"}, {"ref": "tracyporter/play-5-3-rfc", "kernel_id": "77645909"}, {"ref": "shubhankermehta/rain-prediction", "kernel_id": "77886923"}, {"ref": "omkarchoulwar/rainfall-probability-prediction", "kernel_id": "77736504"}, {"ref": "digantabhattacharya/isitgoingtorain-binary-class-exhaustive-eda", "kernel_id": "77875716"}, {"ref": "udaken10/cooking-new-feature", "kernel_id": "77774118"}, {"ref": "udaken10/keras", "kernel_id": "77781284"}, {"ref": "udaken10/new-features-knowledge-of-rain", "kernel_id": "77782180"}, {"ref": "udaken10/shift-and-newfeature", "kernel_id": "77870403"}, {"ref": "udaken10/logreg", "kernel_id": "77883568"}, {"ref": "josephnehrenz/87-9-logistic-s5e3-rainfall-probability-in-r", "kernel_id": "77633284"}, {"ref": "nikoladyulgerov/llover-o-no-llover", "kernel_id": "77831006"}, {"ref": "zhukovoleksiy/0-895-cv-stacking-ensemble-say-no-to-overfitting", "kernel_id": "77694225"}, {"ref": "zainiahmad/xgboost-and-logistic-regression-for-rainfall", "kernel_id": "77633466"}, {"ref": "kwonnayeon/ps5e3-ensemble-models", "kernel_id": "77921674"}, {"ref": "jimgruman/rainfall", "kernel_id": "77821356"}, {"ref": "jocelyndumlao/rainfall-prediction-analysis", "kernel_id": "77631560"}, {"ref": "jocelyndumlao/rainfall-lazy-prediction", "kernel_id": "77642399"}, {"ref": "jocelyndumlao/rainfall-prediction-pycaret", "kernel_id": "77700003"}, {"ref": "samayashar/rainfall-prediction-catboost", "kernel_id": "77712086"}, {"ref": "karishmabattina/rainfall-cat", "kernel_id": "77843329"}, {"ref": "umarwaqar/ensemble-model", "kernel_id": "77905790"}, {"ref": "umarwaqar/rainfall-stacking-ensemble-log-reg-xgb-mlp", "kernel_id": "77859365"}, {"ref": "conradkleykamp/rainfall-prediction-xgboost", "kernel_id": "77823852"}, {"ref": "shubham1111/ai-predicts-rain-or-just-crying-skies", "kernel_id": "77701865"}, {"ref": "barbagrande007/rainfall-tf-optuna", "kernel_id": "77764618"}, {"ref": "nicholaspellegrin/s5e3-rain-prediction", "kernel_id": "77815974"}, {"ref": "act18l/do-we-need-magic-number-1-001345", "kernel_id": "77837372"}, {"ref": "satyaprakashshukl/eda-rainfall-prediction", "kernel_id": "77635072"}, {"ref": "satyaprakashshukl/neural-network-podcast-prediction", "kernel_id": "77708940"}, {"ref": "omidsakaki1370/eda-prediction-with-a-rainfall", "kernel_id": "77723984"}, {"ref": "ravi20076/playgrounds5e03-baseline-v1", "kernel_id": "77627708"}, {"ref": "souravnag07/march-2025-playground", "kernel_id": "77828816"}, {"ref": "esraaalsaeede/xgbclassifier", "kernel_id": "77753535"}, {"ref": "klyushnik/rainfall-dataset-roc-auc-0-87154", "kernel_id": "77749519"}, {"ref": "codingmaster24/rainfall-prediction-with-deep-learning", "kernel_id": "77851007"}, {"ref": "uuratl/here-comes-the-rain-again-logisticregression", "kernel_id": "77800448"}, {"ref": "chitrakshsingh/rainfall-ml", "kernel_id": "77682480"}, {"ref": "rv1922/automl-vs-custom-ml-who-wins", "kernel_id": "77675170"}, {"ref": "rv1922/rainfall-prediction-eda-roc-auc", "kernel_id": "77637824"}, {"ref": "rv1922/rain-fall-prediction-catboost-optuna", "kernel_id": "77708905"}, {"ref": "amordia/stacking-smote-scaler-pca", "kernel_id": "77652903"}, {"ref": "hudasaleh1/rainfall-prediction", "kernel_id": "77646552"}, {"ref": "procoding2022/rainfall-prediction", "kernel_id": "77848598"}, {"ref": "procoding2022/binary-prediction-with-rainfall-dataset", "kernel_id": "77732372"}, {"ref": "procoding2022/ensemble-model-with-xgboost-lightgbm-catboost", "kernel_id": "77777304"}, {"ref": "procoding2022/rainfall-prediction-with-deep-learning", "kernel_id": "77779318"}, {"ref": "thesequential/lgbm-xgb-mlp-cnn-0-87288", "kernel_id": "77992176"}, {"ref": "uzairshafique/rain-fall-prediction-xgboost", "kernel_id": "77643905"}, {"ref": "arpitrawat/xgboost-and-optuna-for-rainfall-prediction", "kernel_id": "77637968"}, {"ref": "arpitrawat/voting-classifier-logistic-regression", "kernel_id": "77920263"}, {"ref": "arpitrawat/feature-engineering-xgb-optuna", "kernel_id": "77708628"}, {"ref": "mariusborel/rainfall-prediction-stacking", "kernel_id": "77711264"}, {"ref": "mariusborel/rainfall-prediction-catboost", "kernel_id": "77899007"}, {"ref": "mariusborel/rainfall-prediction-lgbm", "kernel_id": "77628084"}, {"ref": "risakashiwabara/beginner-rainfall-edagraph", "kernel_id": "77802057"}, {"ref": "rtenorioramirez/rainfall-prediction-xgb-vs-cat-vs-lightgbm", "kernel_id": "77627243"}, {"ref": "srinivasta/rainfallprediction", "kernel_id": "77965450"}, {"ref": "chanchal24/rainfall-prediction-10-model-eda", "kernel_id": "77644190"}, {"ref": "santyagoamaya/eda-relative-humidity-l", "kernel_id": "77700114"}, {"ref": "masayakawamata/s5e3-grn-starter", "kernel_id": "77706072"}, {"ref": "masayakawamata/s5e3-logisticregression", "kernel_id": "77627844"}, {"ref": "prajithjayarajan/rainfall-pred", "kernel_id": "77858472"}, {"ref": "cybersimar08/rainfall-prediction-deep-learning-approach", "kernel_id": "77781595"}, {"ref": "vijay20213/rainfall-prediction-imbalance-data-tuning", "kernel_id": "77662481"}, {"ref": "arshmankhalid/baseline-rainfall-prediction", "kernel_id": "77723786"}, {"ref": "jesusdeleon19/rainfall-dataset", "kernel_id": "77756641"}, {"ref": "kavya1605/rain-prediction", "kernel_id": "77705733"}, {"ref": "tonychirilus/beyond-the-clouds-mastering-rainfall-prediction", "kernel_id": "77657793"}, {"ref": "abhinavsharma0706/rainfall-2", "kernel_id": "77858758"}, {"ref": "abhinavsharma0706/rainfall", "kernel_id": "77858016"}, {"ref": "sumit08/ps5e3-roc-curve", "kernel_id": "77642428"}, {"ref": "sumit08/roc-curve-0-85954", "kernel_id": "77792094"}, {"ref": "yaminh/pss5e3-autogluon", "kernel_id": "77936379"}, {"ref": "dantheshark/playground-series-s5e03-eda", "kernel_id": "77901885"}, {"ref": "dantheshark/notebookc87a8b23b3", "kernel_id": "77793621"}, {"ref": "calebboen/rainfall-prediction", "kernel_id": "77781747"}, {"ref": "tarundirector/rev-rain-pred-eda-time-series-ai-news", "kernel_id": "77594486"}, {"ref": "pranjali1121/rainfall-prediction", "kernel_id": "77674124"}, {"ref": "lekhatopil/rainfall-prediction-eda-lightgbm-catboost", "kernel_id": "77890360"}, {"ref": "chrisk321/rainfall-r-h2o-eda-submission", "kernel_id": "77677622"}, {"ref": "anmuser/gradient-boost-predicting-rainfall", "kernel_id": "77668001"}, {"ref": "mmzznno/mmzznno-rain", "kernel_id": "77784999"}, {"ref": "nabinoli2004/roc-auc-score-0-8608", "kernel_id": "77712372"}, {"ref": "ying081/notebook8412ab35db", "kernel_id": "77962406"}, {"ref": "syednazmussakib/rainfall-simple-analysis", "kernel_id": "77960296"}, {"ref": "karkin/rainfall-prediction-kaggle-competition", "kernel_id": "77925576"}, {"ref": "les1781/rainfall-prediction-playground-series-s5-e3", "kernel_id": "77691144"}, {"ref": "vishnupriyagarige/rainfall-prediction-xgb-lgb-cat", "kernel_id": "77630369"}, {"ref": "vishnupriyagarige/rainfall-prediction-pipeline", "kernel_id": "77700373"}, {"ref": "vishnupriyagarige/rainfall-prediction-votingclassifier", "kernel_id": "77897829"}, {"ref": "gyogyocat/5-3-eda-gbm-randomforest-start", "kernel_id": "77642468"}, {"ref": "jano123/pss5e3-symbolic-classification", "kernel_id": "77748972"}, {"ref": "hichamabderrahim/0-86779-rainfall-prediction-randomforest", "kernel_id": "77759783"}, {"ref": "idrisselhouari/binary-prediction-with-a-rainfall-dataset", "kernel_id": "77944121"}, {"ref": "jasanineha/binary-rainfall-prediction", "kernel_id": "77843827"}, {"ref": "ayushchandramaurya/rainfall-pred-logistic-regression-plus-ensemble", "kernel_id": "77797187"}, {"ref": "abeshith/rainfall-starter-pipeline", "kernel_id": "77659031"}, {"ref": "utkarshx27/rainfall-prediction", "kernel_id": "77866665"}, {"ref": "kxrma16/first-try", "kernel_id": "77876079"}, {"ref": "swoyam2609/binary-rainfall-prediction-xgb-classifier", "kernel_id": "77781437"}, {"ref": "itasps/0-96218-logistic-regression-plus-ensemble", "kernel_id": "77885619"}, {"ref": "snehalkhandewale/pycaret-rainfall-binary-prediction", "kernel_id": "77710345"}, {"ref": "garrickchinnis/xgboost-rainfall-prediction", "kernel_id": "77686045"}, {"ref": "garrickchinnis/randomforestregressor-rainfall-prediction", "kernel_id": "77686795"}, {"ref": "galalqassas/rainfall-prediction-with-detailed-plots", "kernel_id": "77629291"}, {"ref": "pruthaannadate/binary-pred-make-it-rain", "kernel_id": "77872077"}, {"ref": "sonualexantony/binary-prediction-with-a-rainfall-competition", "kernel_id": "77853985"}, {"ref": "alkidiarete/balance-random-forest-rainfall", "kernel_id": "77637486"}, {"ref": "alkidiarete/fastai-rainfall", "kernel_id": "77705244"}, {"ref": "huthayfahodeb/rainfall-extratree-the-ultimate-guide", "kernel_id": "77803296"}, {"ref": "samanfatima7/rainfall-prediction-lb-0-84633", "kernel_id": "77790590"}, {"ref": "subarnasaikia/raining-keras-model", "kernel_id": "77647718"}, {"ref": "vinodkumargurjar/rainfall-prediction", "kernel_id": "77857821"}, {"ref": "francescoalbanesephd/s5e3-rain-preds-0-899-widgets-stacking", "kernel_id": "77813913"}, {"ref": "mohamedrebbouh/extratreesclassifier-rainfall-roc-auc-0-87396", "kernel_id": "77831476"}, {"ref": "magewade/rainfall-voting-catboost-0-87583", "kernel_id": "77809960"}, {"ref": "shadesh/enhanced-rainfall-prediction-using-stacking-hype", "kernel_id": "77806619"}, {"ref": "shadesh/rainfall-prediction-using-xgboost-with-feature-eng", "kernel_id": "77735257"}, {"ref": "shadesh/rainfall-prediction-using-xgboost-lightgbm", "kernel_id": "77741181"}, {"ref": "shadesh/optimized-rainfall-prediction-with-model-compariso", "kernel_id": "77740397"}, {"ref": "nikita7364777/5-03-lb-0-85-meta-model-with-detail-eda", "kernel_id": "77883389"}, {"ref": "aayushiweb/rainfall-prediction", "kernel_id": "77847745"}, {"ref": "anshikakashyap12/ps5e3-rainfall-forecasting", "kernel_id": "77665822"}, {"ref": "mohammadhmozafary/ps3e5-neural-networks-89", "kernel_id": "77657636"}, {"ref": "satoshisumiriko/rainfall-simplebaseline-only-4-features-lb0-8769", "kernel_id": "77690308"}, {"ref": "sanadalali/xgboost-rainfall-roc-auc-0-86511", "kernel_id": "77798015"}, {"ref": "sanadalali/rainfall-prediction-roc-auc-0-842", "kernel_id": "77725451"}, {"ref": "itzgauurab/logistic-regression-and-eda", "kernel_id": "77627894"}, {"ref": "kishorreddy9/rainprediction-randomforest", "kernel_id": "77868169"}, {"ref": "amri11/rainfall-prediction-use-xgboost", "kernel_id": "77719247"}, {"ref": "younusmohamed/50-01-complete-eda", "kernel_id": "77634479"}, {"ref": "younusmohamed/50-03-olt-lr-minmax", "kernel_id": "77950745"}, {"ref": "younusmohamed/50-02-finding-a-base", "kernel_id": "77820937"}, {"ref": "introverstein/s5e3-adversarial-validation", "kernel_id": "77665814"}, {"ref": "sergiopedemonte/binary-prediction-rainfall-votingensemble", "kernel_id": "77794992"}, {"ref": "phenomsg/binary-prediction-with-a-rainfall-dataset", "kernel_id": "77724175"}, {"ref": "leonardoten/eda-the-way-of-the-rain", "kernel_id": "77627849"}, {"ref": "hrishikesh7/rainfall-prediction-challenge-eda-xgboost", "kernel_id": "77691259"}, {"ref": "srikanthgunja/rainfallprediction", "kernel_id": "77961315"}, {"ref": "sdeogade/rainfall-prediction", "kernel_id": "77845518"}, {"ref": "mohsenshahbazi/votingclassifier-featureengineering-wikipedia", "kernel_id": "77749358"}, {"ref": "kingkcabir/rain-fall-lda", "kernel_id": "77791062"}, {"ref": "atrbyg24/rainfall-prediction", "kernel_id": "77688334"}, {"ref": "somendrew/s5ep3-eda-rainfall-prediction", "kernel_id": "77643290"}, {"ref": "abdmental01/rainfall-prediction", "kernel_id": "77682767"}, {"ref": "abdmental01/rainfall-catboost", "kernel_id": "77686068"}, {"ref": "abdmental01/catboost-cv-0-89806", "kernel_id": "77758727"}, {"ref": "fourierfzx/rain-or-shine-rainfall-prediction-with-ml", "kernel_id": "77893678"}, {"ref": "samanyuk/rainfall-prediction-ps-s5-e3-0-89541", "kernel_id": "77872217"}, {"ref": "sulaniishara/rain-or-shine-rainfall-prediction-with-ml", "kernel_id": "77645511"}, {"ref": "igorvolianiuk/rainfall-prediction-eda-catboost-optuna", "kernel_id": "77648204"}, {"ref": "sarunpm/0-87-rain-fall-baseline", "kernel_id": "77664749"}, {"ref": "sarunpm/lb-0-83-rainfall-rf", "kernel_id": "77846694"}, {"ref": "sarunpm/lb-0-87-rainfall-baseline", "kernel_id": "77846854"}, {"ref": "vishalpnaik/raining-cats-data-dogs-a-downpour-analysis", "kernel_id": "77810791"}, {"ref": "ahmadfirman/playground-s5e3-starter", "kernel_id": "77641612"}, {"ref": "sunnyvarnawal/ranking-data-for-begginers", "kernel_id": "77656995"}, {"ref": "yteshima/ps5s3-simple-dashboard-and-xgboost-et-al", "kernel_id": "77631891"}, {"ref": "neeraj8180/rainfall-prediction-extratreesclassifier-randomncv", "kernel_id": "77657042"}, {"ref": "sadettinamilverdil/rainfall-prediction-with-xgboost", "kernel_id": "77652194"}, {"ref": "saimude/binary-prediction-rainfall-using-smote-and-adabst", "kernel_id": "77964715"}, {"ref": "iwways/data-dive-eda-rain-prediction", "kernel_id": "77642456"}, {"ref": "quantum09/is-it-going-to-rain", "kernel_id": "77729980"}, {"ref": "deepali2510/rainfall-prediction", "kernel_id": "77822556"}, {"ref": "ashu009/rainfall-prediction", "kernel_id": "77747695"}, {"ref": "cartoonistbeard/rank-8-approach", "kernel_id": "77634088"}, {"ref": "cartoonistbeard/complete-eda-xgb", "kernel_id": "77637899"}, {"ref": "sai10py/rainfall-prediction-competition-dl", "kernel_id": "77790421"}, {"ref": "giraldonainggolan/data-driven-rainfall-prediction", "kernel_id": "77763983"}, {"ref": "karuna2k/rainfall-prediction-eda-ml-methods", "kernel_id": "77904398"}, {"ref": "godoistvan/understanding-your-model", "kernel_id": "77670026"}, {"ref": "godoistvan/eda-10-models", "kernel_id": "77679794"}, {"ref": "birathibanthavarajah/binary-prediction-with-a-rainfall-dataset", "kernel_id": "77722170"}, {"ref": "birathibanthavarajah/tabpfn-binary-prediction-with-a-rainfall-dataset", "kernel_id": "77792605"}, {"ref": "michaelrowen/rainfall-eda-hybrid-model", "kernel_id": "77839090"}, {"ref": "vktsyp/deep-neural-network-rainfall-prediction", "kernel_id": "77652724"}, {"ref": "nbsanjaykumar/sanjaynbkuma", "kernel_id": "77847628"}, {"ref": "emangope/pytorch-rainfall", "kernel_id": "77814021"}, {"ref": "sunaynajain/rainfall-prediction-eda", "kernel_id": "77962898"}, {"ref": "shivamchaudharys/binary-prediction-rainfall-with-0-85-roc", "kernel_id": "77871348"}, {"ref": "aryagokh/baseline-optuna-xgb-cat-lgb-logreg-rainfall", "kernel_id": "77633926"}, {"ref": "aryagokh/eda-and-logisticregressionstacked-rainfallll", "kernel_id": "77644542"}, {"ref": "aryagokh/keras-rainfall", "kernel_id": "77767787"}, {"ref": "aryagokh/feature-engineering-logistic-regression-rain", "kernel_id": "77707976"}, {"ref": "surajthakur21/binary-prediction-on-rainfall-dataset", "kernel_id": "77807973"}, {"ref": "errorrific/rainfall-prediction-randomforest", "kernel_id": "77744665"}, {"ref": "errorrific/rainfall-prediction-adaboost", "kernel_id": "77871296"}, {"ref": "errorrific/rainfall-prediction-auc-0-9001", "kernel_id": "77895615"}, {"ref": "errorrific/rainfall-prediction-accuracy-88-81", "kernel_id": "77637120"}, {"ref": "prathameshrokade/will-it-rain", "kernel_id": "77885971"}, {"ref": "endingshostler/rainfall-keras-tensorflow", "kernel_id": "77630979"}, {"ref": "nirmitgavate1/playgroundseries-s05e03-baseline", "kernel_id": "77960863"}, {"ref": "moridata/rainfall-deep-learning-score-0-87047", "kernel_id": "77647981"}, {"ref": "chengyannng/randomforest-classifier-in-predict", "kernel_id": "77838848"}, {"ref": "chengyannng/pca-decisiontreeclassifier-in-predict", "kernel_id": "77647301"}, {"ref": "wafaaalayoubi/rainfalproject", "kernel_id": "77781830"}, {"ref": "berkereryilmaz/rainfall-prediction-0-90-with-catboost", "kernel_id": "77651751"}, {"ref": "nevesis21/playg3-1", "kernel_id": "77805546"}, {"ref": "saiash/binary-rainfall-prediction-using-svc", "kernel_id": "77788661"}, {"ref": "pieego/rainfall-simple-logistic-regression", "kernel_id": "77726976"}, {"ref": "kushubhai/binary-prediction-with-a-rainfall-dataset-soln", "kernel_id": "77644419"}, {"ref": "bienkieu/binary-prediction-rainfall", "kernel_id": "77932222"}, {"ref": "vacale/when-it-rains-neural-brainstorms", "kernel_id": "77664660"}, {"ref": "iritacoandreas/shap-feature-engineering-cnn", "kernel_id": "77719409"}, {"ref": "hanzeruiooo/logistic-regression-combined-with-bayesian", "kernel_id": "77764754"}, {"ref": "hanzeruiooo/stacking-v2", "kernel_id": "77765769"}, {"ref": "mahimagarwal18/binary-rain-prediction-mahim", "kernel_id": "77960570"}, {"ref": "ozanbozyel/catboost", "kernel_id": "77880466"}, {"ref": "ozanbozyel/mlp-model", "kernel_id": "77988192"}, {"ref": "astukari/binary-prediction-w-rainfall-dataset", "kernel_id": "77748572"}, {"ref": "olaflundstrom/binary-prediction-with-a-rainfall-dataset-notebook", "kernel_id": "77644389"}, {"ref": "olaflundstrom/binary-prediction-with-a-rainfall-dataset-dtu", "kernel_id": "77790666"}, {"ref": "konstantin1212/meta-model-hehe-binary-prediction", "kernel_id": "77712635"}, {"ref": "martjm26/simple-tabpfn-no-new-feats-no-tuning-879", "kernel_id": "77814614"}, {"ref": "martjm26/tabpfn-with-40-features", "kernel_id": "77898536"}, {"ref": "alexanderriabchinski/rainfall-feature-engineering", "kernel_id": "77743238"}, {"ref": "fujianping/rainfall-xgboost-mlp", "kernel_id": "77961339"}, {"ref": "feryrwnn/rainfall-prediction", "kernel_id": "77858010"}, {"ref": "mathrunner7/rainfall-prediction-with-nn", "kernel_id": "77904145"}, {"ref": "jaspreetgeord/xgboost-rain-classifier", "kernel_id": "77825982"}, {"ref": "siddharth776/binary-prediction-with-a-rainfall-dataset-v2", "kernel_id": "77736159"}, {"ref": "annalalik/rainfall-dataset-notebook", "kernel_id": "77860915"}, {"ref": "abdelrahman7arb/xgboost-model", "kernel_id": "77634354"}, {"ref": "yudongwang0202/rain-prediction-without-parameter-tuning", "kernel_id": "77912425"}, {"ref": "vmyapps/predicci-n-javier-martin", "kernel_id": "77634488"}, {"ref": "ayushsyntax/rainfall-prediction", "kernel_id": "77866744"}, {"ref": "keshavupadhyay17/keras-rainfall-prediction-eda", "kernel_id": "77766913"}, {"ref": "dalloliogm/logistic-regression-xgboost-lightgbm-ensemble", "kernel_id": "78377317"}, {"ref": "jonathanbouchet/ensemble-of-tuned-classifiers-features-selection", "kernel_id": "78840532"}, {"ref": "sidcodegg/understanding-and-implementing-auc", "kernel_id": "78700437"}, {"ref": "debisree/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78585162"}, {"ref": "chris36/binary-prediction", "kernel_id": "78379927"}, {"ref": "charlottetu/rainfall-prediction-nn", "kernel_id": "78198243"}, {"ref": "aliphya/predict-rainfall-basic-starter-notebook", "kernel_id": "78550229"}, {"ref": "ianchute/rainfall-additive-chi2-svm", "kernel_id": "78104794"}, {"ref": "quadpixels/raindrop-crappy-1-layer-lstm", "kernel_id": "78387279"}, {"ref": "ryzhokhina/rainfall-eda-fe-dl", "kernel_id": "78470485"}, {"ref": "ryzhokhina/rainfall-nn", "kernel_id": "78019701"}, {"ref": "dan3dewey/learning-optuna-for-cv", "kernel_id": "78446488"}, {"ref": "dolajyd/rainfall-with-logistic-regression", "kernel_id": "78695127"}, {"ref": "cdeotte/rapids-svc-w-feature-engineering-lb-0-856", "kernel_id": "78594875"}, {"ref": "cdeotte/xgboost-starter-ensemble-lb-0-935-wow", "kernel_id": "78646445"}, {"ref": "cdeotte/rapids-knn-starter-ensemble-lb-0-961-wow", "kernel_id": "78657109"}, {"ref": "yoshifumimiya/fork-of-rainfall-s5e3-pytorch", "kernel_id": "78403689"}, {"ref": "yoshifumimiya/fork-of-rainfall-s5e3-4-ways-nn", "kernel_id": "78456119"}, {"ref": "yoshifumimiya/rainfall-s5e3-clustering", "kernel_id": "78611609"}, {"ref": "stpeteishii/rainfall-processed-data", "kernel_id": "78889912"}, {"ref": "stpeteishii/rainfall-lgbmregressor-w-processed-data", "kernel_id": "78922240"}, {"ref": "plavak10/0-86-binary-prediction-with-rainfall-dataset", "kernel_id": "78321740"}, {"ref": "sanpier/cv-0-8973-feature-engineering-selection", "kernel_id": "78462262"}, {"ref": "ivanblch/seminar2-2025", "kernel_id": "78901624"}, {"ref": "ivanblch/seminar1-2025", "kernel_id": "78689477"}, {"ref": "ivanblch/seminar3-2025", "kernel_id": "78951031"}, {"ref": "digvijaysingh25/rainfall-prediction-logistic-regression", "kernel_id": "78155806"}, {"ref": "digvijaysingh25/rainfall-prediction-with-pytorch", "kernel_id": "78203925"}, {"ref": "lonnieqin/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78061549"}, {"ref": "mboejua/predict-rainfall", "kernel_id": "78520104"}, {"ref": "mboejua/rainfall-prediction-proba", "kernel_id": "78458745"}, {"ref": "aaronisomaisom3/rainfall-simple-sgd-classifier", "kernel_id": "78773952"}, {"ref": "aaronisomaisom3/randomforest-optuna", "kernel_id": "78837780"}, {"ref": "neerajkaroshi/notebook855adef0ca", "kernel_id": "78822020"}, {"ref": "swas06/rainfallmodellingoptuna", "kernel_id": "78303739"}, {"ref": "technicalbabaji/rainfall-prediction-eda-ml", "kernel_id": "78305575"}, {"ref": "itskumar/rainfall-prediction-dl", "kernel_id": "78309167"}, {"ref": "vivekprajapati2048/playground-s05e03-rainfall-votingclassifier", "kernel_id": "78848931"}, {"ref": "fahmiibrahim/catboost-bayes-search-early-stop", "kernel_id": "78824611"}, {"ref": "abhijeetyv/rainfall-prediction-top-7", "kernel_id": "78071368"}, {"ref": "mustafacivici/rain-classification", "kernel_id": "78961001"}, {"ref": "udaken10/rainfall", "kernel_id": "78436992"}, {"ref": "udaken10/resample-make-class", "kernel_id": "78118280"}, {"ref": "amulyas/eda-and-initial-analysis", "kernel_id": "78009751"}, {"ref": "sspan0019/s5e3-model-comparison-optuna-catboost", "kernel_id": "78848888"}, {"ref": "sspan0019/s5e3-simple-nn", "kernel_id": "78704226"}, {"ref": "afrologicinsect/ensemble-svc-logistic-xgboost", "kernel_id": "78111995"}, {"ref": "valentinemwai/rainfall-logistic-regression-xgb-svm-tensorflow", "kernel_id": "78165668"}, {"ref": "tahaalaa/rainfall-prediction", "kernel_id": "78923677"}, {"ref": "gpch2159/s-lb-0-86216-binary-rainfall-prediction", "kernel_id": "78158913"}, {"ref": "mlevytskyi/rainfall", "kernel_id": "78364530"}, {"ref": "faniakritidoy/rainfall-prediction-final", "kernel_id": "78875020"}, {"ref": "tuhinm2002/rainfall-season-5-episode-3-pytorch", "kernel_id": "78636374"}, {"ref": "adithyachalla/rainfall-prediction", "kernel_id": "78928288"}, {"ref": "adithyachalla/rainfall-prediction-eda", "kernel_id": "78979582"}, {"ref": "leonchani/21-ensemble-lgbm-xgb-cat-rainfall", "kernel_id": "78930826"}, {"ref": "ragisaikiranreddy/rainfall-prediction-ps5e3-classification", "kernel_id": "78787255"}, {"ref": "ujjalkumarmahato/rainfall-prediction-binary-try2", "kernel_id": "78164818"}, {"ref": "act18l/auc-post-processing", "kernel_id": "78333785"}, {"ref": "act18l/check-from-real-original-data", "kernel_id": "78080486"}, {"ref": "act18l/lb-probing-hitchhiker-version", "kernel_id": "78816180"}, {"ref": "kwakubonsuwiredu/hyperparameter-tuning-grids", "kernel_id": "78717189"}, {"ref": "kwakubonsuwiredu/95-accurate-support-vector-classifier", "kernel_id": "78697103"}, {"ref": "kwakubonsuwiredu/xgboost-with-k-fold-cross-validation-and-hyperpara", "kernel_id": "78704256"}, {"ref": "kwakubonsuwiredu/randomforsest-with-kfold-cross-validation", "kernel_id": "78703715"}, {"ref": "kwakubonsuwiredu/ensemble-leveraging-multiple-models", "kernel_id": "78666675"}, {"ref": "saficengiz/rainfall-v2", "kernel_id": "78045152"}, {"ref": "dagaca/playground-series-s5e3-rainfall-prediction", "kernel_id": "78912275"}, {"ref": "ravi20076/playgrounds5e3-baseline-v2", "kernel_id": "78661220"}, {"ref": "ravi20076/playgrounds5e3-public-imports-v1", "kernel_id": "78661262"}, {"ref": "ravi20076/playgrounds5e3-baseline-v3", "kernel_id": "78892627"}, {"ref": "ravi20076/playgrounds5e3-baseline-v4", "kernel_id": "78894687"}, {"ref": "ravi20076/playgrounds5e3-baseline-v5", "kernel_id": "78958278"}, {"ref": "esraaalsaeede/classify-rainfall", "kernel_id": "78153131"}, {"ref": "muhriddinmalik/notebookdac1dcd806", "kernel_id": "78422734"}, {"ref": "rolerik/rainfall-prediction-eda-with-distribution-plots", "kernel_id": "78252802"}, {"ref": "rolerik/pss5e3-rainfall-logistic-regression", "kernel_id": "78611919"}, {"ref": "minamotonoyoshimasa/ridge-classification-with-lb-0-86", "kernel_id": "78795276"}, {"ref": "codingmaster24/knn-ensemble-for-rainfall-prediction-bagging", "kernel_id": "78670742"}, {"ref": "codingmaster24/knn-ensemble-for-rainfall-prediction-5-fold-cv", "kernel_id": "78670476"}, {"ref": "codingmaster24/knn-ensemble-for-rainfall-prediction", "kernel_id": "78669183"}, {"ref": "uuratl/rainfall-pipeline", "kernel_id": "78358556"}, {"ref": "rv1922/rain-prediction-tunning-optuna", "kernel_id": "78374925"}, {"ref": "aumparmar/binary-predictor", "kernel_id": "78432493"}, {"ref": "rakkesharv/complete-guide-to-logistic-regression-rainfall-ml", "kernel_id": "78157894"}, {"ref": "hilal7070/rfc-rainfall", "kernel_id": "78688961"}, {"ref": "danishjmeo/my-first-submission", "kernel_id": "78554374"}, {"ref": "methe1/ak-binary-prediction-with-a-rainfall-dataset", "kernel_id": "78533441"}, {"ref": "akashnath29/binary-prediction-with-rainfall-dataset", "kernel_id": "78762450"}, {"ref": "mariusborel/nn-on-rainfall-prediction", "kernel_id": "78654883"}, {"ref": "mariusborel/ridge-on-rainfall", "kernel_id": "78321565"}, {"ref": "mariusborel/rainfall-forcast-tabpfn", "kernel_id": "78055239"}, {"ref": "gkanamoto/voting-model", "kernel_id": "78373564"}, {"ref": "gkanamoto/baseline-simplpe-lgbm-model", "kernel_id": "78269579"}, {"ref": "gkanamoto/rainfall-prediction-mlp-model", "kernel_id": "78787280"}, {"ref": "ryrlwakala/predictionrainfall", "kernel_id": "78887010"}, {"ref": "brpuneet898/swag-s5-ep3-nb-beginner-friendly", "kernel_id": "78577191"}, {"ref": "michaorlewski/s5e03-rainfall-prediction-eda-0-893-priv-score", "kernel_id": "78381494"}, {"ref": "srinivasta/rainfall-prediction-smote", "kernel_id": "78217959"}, {"ref": "srinivasta/rainfall-pediction-smote-x", "kernel_id": "78307901"}, {"ref": "burakkaya22/rainfall-prediction-0-85974", "kernel_id": "78233450"}, {"ref": "santyagoamaya/rainfall-deepl", "kernel_id": "78253473"}, {"ref": "sujithmandala/p5e3-h2o-auto-modelling-prediction", "kernel_id": "78837646"}, {"ref": "shaunkoay/binary-rainfall-prediction", "kernel_id": "78860309"}, {"ref": "mted223/you-don-t-need-a-to-tell-you", "kernel_id": "78539371"}, {"ref": "francescoliveras/ps-s5-e3-eda-model-en-es", "kernel_id": "78289557"}, {"ref": "sumit08/roc-curve-0-86269", "kernel_id": "78052357"}, {"ref": "dantheshark/playground-series-s5e3-preprocessing", "kernel_id": "78075697"}, {"ref": "dantheshark/playground-series-s5e3-model", "kernel_id": "78119257"}, {"ref": "raghavendrareddy023/rain-fall-prediction", "kernel_id": "78883198"}, {"ref": "michalinahulak/playing-with-the-metric-rainfall", "kernel_id": "78033850"}, {"ref": "blackdragonk333/playground-5-03", "kernel_id": "78158600"}, {"ref": "shivyelave/pg-rain-prediction", "kernel_id": "78487034"}, {"ref": "bestwater/autogluon-v1-playground-season-5-episode-3", "kernel_id": "78083102"}, {"ref": "rodrigoccfernandes/cp-sat-ensemble-100", "kernel_id": "78831001"}, {"ref": "rodrigoccfernandes/increased-dataset-mlp-with-pre-training-tuner", "kernel_id": "78574510"}, {"ref": "engamohammed/rainfall-analysis", "kernel_id": "78590312"}, {"ref": "conclf/rainfall-prediction", "kernel_id": "78837074"}, {"ref": "livaikira/binary-prediction-with-a-rainfall-dataset-tf", "kernel_id": "78842710"}, {"ref": "livaikira/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78728479"}, {"ref": "sobiahashmi/binary-prediction-rainfall-challenge-e", "kernel_id": "78853729"}, {"ref": "syednazmussakib/tabpfn", "kernel_id": "78032211"}, {"ref": "syednazmussakib/ps-s5-e3-tabpfn", "kernel_id": "78073595"}, {"ref": "yurajakadari/yuraza-model-rainfall-prediction", "kernel_id": "78665694"}, {"ref": "taimoorrauf607/rainfall-eda-random-forest-optuna", "kernel_id": "78203777"}, {"ref": "debamritapaul/binary-prediction-of-rainfall", "kernel_id": "78571331"}, {"ref": "zeeshier/rainfall-prediction", "kernel_id": "78521082"}, {"ref": "sergeidolin/quick-start-with-catboost-s5e3", "kernel_id": "78437513"}, {"ref": "kedhareswernaidu/rainfall-prediction-timeaware-ipynb", "kernel_id": "78758807"}, {"ref": "itasps/0-96245-lda-lgs-ensemble-for-rainfall-pred", "kernel_id": "78657814"}, {"ref": "snehalkhandewale/will-it-rain-or-not-base-models", "kernel_id": "78567593"}, {"ref": "snehalkhandewale/will-it-rain-or-not-lr", "kernel_id": "78607277"}, {"ref": "saadraqibaziz/extratreesclassifier-rainfall-prediction", "kernel_id": "78765554"}, {"ref": "althariqfairuz/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78048252"}, {"ref": "alkidiarete/pytorch-lightning-rainfall", "kernel_id": "78212946"}, {"ref": "alkidiarete/calibrated-classifier-rainfall", "kernel_id": "78418197"}, {"ref": "arunklenin/ps5e3-rainfall-prediction-classification", "kernel_id": "78180812"}, {"ref": "richardhhong/logistic-regression-only-0-89552", "kernel_id": "78127714"}, {"ref": "mohamedrebbouh/extra-data-roc-auc-0-89756", "kernel_id": "78258678"}, {"ref": "fredericnicholson/weathercook-ai-generated", "kernel_id": "78063397"}, {"ref": "aounraza/rainfall-using-keras", "kernel_id": "78040409"}, {"ref": "asmitkumar12/notebook233c50c243", "kernel_id": "78028535"}, {"ref": "devanshishukla20/rainfall-prediction-using-ml-score-94", "kernel_id": "78605299"}, {"ref": "nikita7364777/5-03-lb-0-901-stacking-v2", "kernel_id": "78289765"}, {"ref": "jpankajk/feed-forward-network", "kernel_id": "78157824"}, {"ref": "lizzylee1111111111/single-xgboost-stl-first-difference", "kernel_id": "78017462"}, {"ref": "yugalchambhare/rain-fall-prediction", "kernel_id": "78813709"}, {"ref": "michaszkolanek/rainfall-prediction", "kernel_id": "78411236"}, {"ref": "mohammadhmozafary/fraud-detection-problem", "kernel_id": "78527830"}, {"ref": "abdallaellaithy/xcat-xgboost-lightgbm-rainfall-prediction", "kernel_id": "78913279"}, {"ref": "soumik31/notebook6a5b901e62", "kernel_id": "78787404"}, {"ref": "niketasengar/rainfall", "kernel_id": "78431928"}, {"ref": "maimunulkjisan/rainfall-prediction-s5e3-score-0-89586", "kernel_id": "78225484"}, {"ref": "leeladhardewangan/rainfall-prediction", "kernel_id": "78033277"}, {"ref": "eliasproger/rainfall-dataset-experiments", "kernel_id": "78759903"}, {"ref": "hafizmuaz9595/binary-prediction-with-rainfall", "kernel_id": "78520152"}, {"ref": "resonayu/quick-eda-simple-model-for-playground-s5e3", "kernel_id": "78333276"}, {"ref": "amri11/rain-fall-prediction-r-keras", "kernel_id": "78475839"}, {"ref": "lorisroy/learning-random-forest-classifier", "kernel_id": "78878678"}, {"ref": "younusmohamed/50-06-feature-engineering", "kernel_id": "78827332"}, {"ref": "younusmohamed/50-04-dnn", "kernel_id": "78178649"}, {"ref": "fadzwanashriq/rainfall-competition", "kernel_id": "78558650"}, {"ref": "ineskellou/binary-classification-rainfall", "kernel_id": "78830520"}, {"ref": "vimalbhadauriya/notebook4687081771", "kernel_id": "78656119"}, {"ref": "liizsong/let-s-predict-rainfall-using-stacking", "kernel_id": "78234837"}, {"ref": "eshaanaryansinha/binary-predication", "kernel_id": "78202380"}, {"ref": "dhaks13/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78139175"}, {"ref": "ravaghi/s05e03-rainfall-prediction-ensemble", "kernel_id": "78200316"}, {"ref": "wangapa106g/rainfall-prediction", "kernel_id": "78461509"}, {"ref": "mudassiria/rainfall-prediction-using-pytorch", "kernel_id": "78752133"}, {"ref": "mudassiria/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78739741"}, {"ref": "marwanragab1212/rainfull-xgboost", "kernel_id": "78367845"}, {"ref": "amankroot/rainfall-prediction-using-random-forest", "kernel_id": "78790797"}, {"ref": "karthikbk1/notepad", "kernel_id": "78678729"}, {"ref": "anthonytherrien/ps5e3-cleaned-rainfall-prediction", "kernel_id": "78466062"}, {"ref": "vivek1coder/rainfall-model", "kernel_id": "78497848"}, {"ref": "erickmoreirav/rainfall-logisticregression-and-gridsearchcv", "kernel_id": "78639695"}, {"ref": "uthsaviyp/notebook60d2206684", "kernel_id": "78453502"}, {"ref": "yiluosjtut/binary-prediction-with-a-rainfall-dataset-yl", "kernel_id": "78815171"}, {"ref": "abdmental01/fork-improvement-xgb-lb-0-929", "kernel_id": "78591310"}, {"ref": "abdmental01/extratreesclassifier-improvement-cv-0-8958", "kernel_id": "78141301"}, {"ref": "harshitlohani04/rainfall-prediction-nn-model", "kernel_id": "78159490"}, {"ref": "khangtran94vn/hidden-insight-eda-rainfall", "kernel_id": "78278514"}, {"ref": "mehakiftikhar/ps5e3-rainfall-prediction-with-catboost", "kernel_id": "78062533"}, {"ref": "sarunpm/0-90-rainfall-top-lb-short-analysis", "kernel_id": "78411964"}, {"ref": "aradhanahirapara/linear-regression-feature-sel-0-86108-public-score", "kernel_id": "78979519"}, {"ref": "sergeyarkhipov49/eda-logreg-special-for-russian-beginner-ds", "kernel_id": "78277621"}, {"ref": "mlippo/py-lightgbm-fe-score-0-88", "kernel_id": "78255449"}, {"ref": "mohameddrabo/rainfall-prediction-lgbm-xgbm", "kernel_id": "78686637"}, {"ref": "sedanurceviral/predicting-rainfall-with-logistic-reg", "kernel_id": "78190896"}, {"ref": "anirudhbagri1421/0-956-by-anirudh-thanks-chris-deotte", "kernel_id": "78674413"}, {"ref": "anirudhbagri1421/rainfall-prediction-ensemble-with-or-tools", "kernel_id": "78932610"}, {"ref": "anirudhbagri1421/0-91499-by-anirudh-bagri-1", "kernel_id": "78529086"}, {"ref": "anirudhbagri1421/0-91499-by-anirudh-bagri", "kernel_id": "78527918"}, {"ref": "anirbanc2004/rainfall-predict", "kernel_id": "78243782"}, {"ref": "tusharsiddik/binary-prediction-with-a-rainfall-dataset-logistic", "kernel_id": "78676124"}, {"ref": "oksanaturii/oksana-binary-prediction-with-a-rainfall-dataset", "kernel_id": "78467679"}, {"ref": "oksanaturii/2oksana-binary-prediction-with-a-rainfall-dataset", "kernel_id": "78585734"}, {"ref": "rohanvarma9187/xgbc-svc-lgbmc-ann", "kernel_id": "78788392"}, {"ref": "simarlar/rainfallprediction", "kernel_id": "78219656"}, {"ref": "musabs2802/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78623277"}, {"ref": "harshahalpara/v1-first-try-with-simple-nn", "kernel_id": "78065090"}, {"ref": "aryasinghchauhan/binary-rainfall-prediction", "kernel_id": "78439995"}, {"ref": "sayan20/rainfall-binary-pradiction", "kernel_id": "78799071"}, {"ref": "kartikparatkar/binarypredictionwithrainfalldataset", "kernel_id": "78791016"}, {"ref": "cartoonistbeard/ps5e3-v4", "kernel_id": "78177823"}, {"ref": "harshitaaaaaaah/rainfall", "kernel_id": "78812646"}, {"ref": "michaelrowen/lb-0-8557-pycaret-classification-baseline", "kernel_id": "78866218"}, {"ref": "agnibharoy10/rainfall-prediction-trail2", "kernel_id": "78656923"}, {"ref": "dacxj0/s5e3-rainfall-prediction", "kernel_id": "78597277"}, {"ref": "roninvers/rainfall-prediction", "kernel_id": "78023869"}, {"ref": "gayatridata/rainfall-prediction-using-tensorflow-keras-ann", "kernel_id": "78024586"}, {"ref": "aniruddhawankhede/rainfall-prediction", "kernel_id": "78743064"}, {"ref": "aliffaagnur/keras-tuner-eda-0-93-val-auc", "kernel_id": "78351320"}, {"ref": "boerget/marsbois-rainfall-prediction", "kernel_id": "78116361"}, {"ref": "kay2304/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78712353"}, {"ref": "tatianak1991/rainfall-lr-rf-xgb-stack-models", "kernel_id": "78380996"}, {"ref": "tatianak1991/rainfall-eda", "kernel_id": "78320987"}, {"ref": "yaseredkina/sy-pastel-forecast-eda-ml-pipeline", "kernel_id": "78306491"}, {"ref": "errorrific/rainfall", "kernel_id": "78968616"}, {"ref": "yunusemreakca/rainfallprediction", "kernel_id": "78237847"}, {"ref": "yashsahu02/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78217917"}, {"ref": "abhishekmanojkumar/rainfall-prediction-85-ps", "kernel_id": "78915514"}, {"ref": "swandipsingha/s5e3-eda-xgb-lgbm-cnn", "kernel_id": "78722935"}, {"ref": "ishitgehlot/is-it-raining", "kernel_id": "78236661"}, {"ref": "serhiiyanovskii1/notebookbbb1f49b77", "kernel_id": "78623606"}, {"ref": "xinyang11010709/glm-xgb-rf-nnet-workflowset-grid-bayes-tuning", "kernel_id": "78885276"}, {"ref": "xinyang11010709/rainfall-based-on-h2o-automl", "kernel_id": "78583387"}, {"ref": "marwanashref/a-full-eda", "kernel_id": "78403316"}, {"ref": "mosammo/rainfall-simple-eda", "kernel_id": "78952871"}, {"ref": "ismailyassin256/simple-automl-rainfall-prediction", "kernel_id": "78936713"}, {"ref": "minhaz07/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78758381"}, {"ref": "aliaagamal/rainfall-eda", "kernel_id": "78787699"}, {"ref": "rashminpunthila/rainfall-prediction", "kernel_id": "78275198"}, {"ref": "suleymanertekin/rainfallclassifierr", "kernel_id": "78639212"}, {"ref": "rsbit30/rainfall-binary-prediction", "kernel_id": "78029866"}, {"ref": "muqingyu666/stackingmodelapproach", "kernel_id": "78406411"}, {"ref": "muqingyu666/timeseries-prediction-lstm-stacked-xgboost-rf", "kernel_id": "78602838"}, {"ref": "sanjaydkd/binary-prediction-with-a-rainfall", "kernel_id": "78440930"}, {"ref": "romanlisachov/nn-models", "kernel_id": "78506109"}, {"ref": "chengyannng/logisticregression-in-predict", "kernel_id": "78243785"}, {"ref": "wafaaalayoubi/rainfalcatboost", "kernel_id": "78871205"}, {"ref": "ibrahimnibrahim/rainfall", "kernel_id": "78440813"}, {"ref": "marinadudik/rainfall-prediction", "kernel_id": "78462229"}, {"ref": "mohitsharma07/rain-pred-using-ann-with-auc-0-87771", "kernel_id": "78186127"}, {"ref": "mohitsharma07/pgs-5ep-3-rainfall-eda-catboost-optuna-0-86028", "kernel_id": "78115335"}, {"ref": "darksols/rain-predicting-modelling-challenge", "kernel_id": "78404057"}, {"ref": "zipengyu/xgboost", "kernel_id": "78793363"}, {"ref": "aman2626786/rainfall-dataset-random-forest", "kernel_id": "78307985"}, {"ref": "aman2626786/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78296145"}, {"ref": "ibodullo2205/yomg-ir-bashorati-ps-s5e3", "kernel_id": "78405466"}, {"ref": "losist/binary-prediction-0-90-logistics-xgb-lgbm", "kernel_id": "78376571"}, {"ref": "harshrajsahu007/rainfall", "kernel_id": "78558684"}, {"ref": "arjungirish05/binary-prediction", "kernel_id": "78734300"}, {"ref": "nnofficial/rainfall-tryout", "kernel_id": "78592103"}, {"ref": "lyudmylakaluzhynova/rainfall-prediction-with-decision-trees", "kernel_id": "78039894"}, {"ref": "muneebullahmuneeb/binary-prediction-for-rainfall-dataset", "kernel_id": "78763471"}, {"ref": "quezaltendes/linear-regression-0-85-baseline-rainfall-pred", "kernel_id": "78950474"}, {"ref": "lyricslab/notebook64e691f75a", "kernel_id": "78668974"}, {"ref": "armaanpreet123/prediction-for-rainfall", "kernel_id": "78684426"}, {"ref": "armaanpreet123/notebook-2-rainfall-prediction", "kernel_id": "78797171"}, {"ref": "armaanpreet123/notebook-predicition", "kernel_id": "78797895"}, {"ref": "armaanpreet123/notebook-4", "kernel_id": "78798429"}, {"ref": "armaanpreet123/notebook", "kernel_id": "78869283"}, {"ref": "alaaharb7/rainfall-eda-keras", "kernel_id": "78394805"}, {"ref": "rishiiiiii0099/eda-anlaysis", "kernel_id": "78628576"}, {"ref": "yxniefr/lightgbm-model-for-binary-pridiction", "kernel_id": "78668160"}, {"ref": "yxniefr/logistic-bagging-classifier", "kernel_id": "78200056"}, {"ref": "yxniefr/xgb-model-for-binary-pridiction", "kernel_id": "78348440"}, {"ref": "krahane/binary-rainfall-prediction", "kernel_id": "78745928"}, {"ref": "xiaomuxing/xingxiaomu-rainfall", "kernel_id": "78421837"}, {"ref": "jieuna1/rainpredict", "kernel_id": "78951464"}, {"ref": "rajivgaba/rainfall", "kernel_id": "78621421"}, {"ref": "ozanbozyel/cat-mlp", "kernel_id": "78132129"}, {"ref": "olaflundstrom/binary-rainfall-forecasting-dtu-bioengineering", "kernel_id": "78492523"}, {"ref": "lokaranjanpanda/notebookbbcb5f7dee", "kernel_id": "78545747"}, {"ref": "sumelahmad/rainfall-prediction", "kernel_id": "78151042"}, {"ref": "vnniciusgabriel/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78658183"}, {"ref": "adarsh79x/binary-prediction-with-a-rainfall-dataset", "kernel_id": "78560146"}, {"ref": "rameenrizwan13/optimized-rainfall-forecasting", "kernel_id": "78589662"}, {"ref": "sanoyoshiki/rainfall", "kernel_id": "78083952"}, {"ref": "martjm26/anomaly-detection-isoforest-oneclasssvm-test", "kernel_id": "78442650"}, {"ref": "martjm26/how-does-sonnet-3-7-perform-given-a-single-prompt", "kernel_id": "78071378"}, {"ref": "samipghimirez/notebook3a5b16a9bb", "kernel_id": "78316602"}, {"ref": "asthapal/binary-rainfall-predict", "kernel_id": "78753059"}, {"ref": "coderkr/binary-prediction-of-rainfall", "kernel_id": "78838365"}, {"ref": "ennamb/gray-dot-wrangling-at-spiritmilk-ranch", "kernel_id": "78906722"}, {"ref": "ennamb/can-we-paint-with-the-worst-features-of-the-wind", "kernel_id": "78681796"}, {"ref": "ennamb/chasing-wind-and-ghosts-through-the-seasons-eda", "kernel_id": "78723562"}, {"ref": "ennamb/seasoning-makes-everything-taste-better", "kernel_id": "78735568"}, {"ref": "yavuzselimcoban/rainfall-randomforestclassifier-score-85-3", "kernel_id": "78396702"}, {"ref": "jaspreetgeord/rainfall-prediction", "kernel_id": "78056870"}, {"ref": "abdullahtauseef2003/pg-s5e3-87-logisticregression", "kernel_id": "78794874"}, {"ref": "defaultujijk/rainfall-prediction-xgboost", "kernel_id": "78970739"}, {"ref": "dianayerkinkyzy/da-lab-work-4", "kernel_id": "78699821"}, {"ref": "rohanpurohit0705/rainfall-prediction-ensemble-model", "kernel_id": "78947438"}, {"ref": "rohanpurohit0705/rainfall-adv-assembling", "kernel_id": "78948520"}, {"ref": "rohanpurohit0705/binary-rainfall-automl", "kernel_id": "78942955"}, {"ref": "borisito/single-model-logistic-regression-l1", "kernel_id": "78710304"}, {"ref": "abdelrahman7arb/intensive-eda-rainfall", "kernel_id": "78600327"}, {"ref": "abdelrahman7arb/data-preprocessing-rainfall", "kernel_id": "78600384"}, {"ref": "hanu258/auc-post-processing", "kernel_id": "78511788"}, {"ref": "hanu258/lb-probing-hitchhiker-version", "kernel_id": "78835909"}, {"ref": "hanu258/0-96218-logistic-regression-plus-ensemble", "kernel_id": "78835939"}, {"ref": "naylanadre/nma-rainfall-prediction", "kernel_id": "78004598"}, {"ref": "salonirakeshpadariya/notebook3", "kernel_id": "78778310"}, {"ref": "petermramirez/rainfall-1", "kernel_id": "78382571"}, {"ref": "shambhavishanker99/rainfall-with-stackclassfier", "kernel_id": "78731978"}, {"ref": "junkitchang/rainfall-prediction-finalise", "kernel_id": "78251439"}, {"ref": "ayushsyntax/rainfall-prediction-ensemble", "kernel_id": "78238276"}, {"ref": "agataklisko/rainfall-prediction-competition", "kernel_id": "78815381"}, {"ref": "hamidmustafa1122/finetuning-vixtts-gpt2", "kernel_id": "78350718"}, {"ref": "hamidmustafa1122/fine-tuning-xtts-v2-en-fluer-7da4e7", "kernel_id": "78807839"}, {"ref": "nallibnazareno/notebookd391eeed8e", "kernel_id": "78321202"}, {"ref": "bhumikatandon2114/rainfallprediction", "kernel_id": "78645309"}, {"ref": "esotericdata1/is-it-going-to-rain", "kernel_id": "78135179"}, {"ref": "esotericdata1/rainfall", "kernel_id": "78133963"}, {"ref": "esotericdata1/5-3-eda-gbm-randomforest", "kernel_id": "78133473"}, {"ref": "piuslaujueng/featureengineeringandlogisticregression", "kernel_id": "78816258"}, {"ref": "girlboss/pytorch-rainfall-rnn", "kernel_id": "79040859"}, {"ref": "rafanikitas/rainfall-eda-fe-lightgbm", "kernel_id": "79244652"}, {"ref": "optimistix/pss5e3-compute-public-lb-score", "kernel_id": "79193424"}, {"ref": "ffaraz/rainfall-prediction-with-keras-and-random-forest", "kernel_id": "79415711"}, {"ref": "milindrb/binary-predictionrainfall", "kernel_id": "79549253"}, {"ref": "riferji/transformer-tabpfn", "kernel_id": "79051859"}, {"ref": "obiaf88/deep-learning-for-raining-prediction", "kernel_id": "79176749"}, {"ref": "pperna/splines-regression-flexible-and-interpretable-mdl", "kernel_id": "79003035"}, {"ref": "pierpa/binary-classification-roc-auc-0-92", "kernel_id": "79469099"}, {"ref": "rohanroy/rainfall-dataset-binary-prediction", "kernel_id": "79392007"}, {"ref": "ricopue/s5e3-nn-regression-with-target-transformation", "kernel_id": "79346836"}, {"ref": "brukselka/rainfall-prediction-final-solution", "kernel_id": "79777532"}, {"ref": "kush1729/xgboost-gridsearchcv-rainfall-predictions", "kernel_id": "79314310"}, {"ref": "nishiokande/rainfall", "kernel_id": "79367250"}, {"ref": "catadanna/cours-ia-m1-1-regression", "kernel_id": "79497724"}, {"ref": "catadanna/cours-ia-m1-1-classification", "kernel_id": "79301924"}, {"ref": "ivanblch/seminar4-2025", "kernel_id": "79321325"}, {"ref": "issactai/xgboost-bayesianoptimization", "kernel_id": "79215061"}, {"ref": "nikitachubai/binary-rainfall-prediction-model", "kernel_id": "79578978"}, {"ref": "swas06/rainfallmodellingxgboost", "kernel_id": "79451151"}, {"ref": "syrianeagle/deep-learning-single-model-0-9", "kernel_id": "79125996"}, {"ref": "somyapatra/will-it-rain", "kernel_id": "79413644"}, {"ref": "mohamedabder/01-eda-binary-prediction-with-a-rainfall", "kernel_id": "79289117"}, {"ref": "mohamedabder/02-modelling-binary-prediction-with-a-rainfall", "kernel_id": "79392787"}, {"ref": "vivekprajapati2048/playground-s05e03-rainfall-prediction-catboost", "kernel_id": "79330067"}, {"ref": "thomasmeiner/gemma-3-with-quantisation-debug-notebook-for-hf", "kernel_id": "79145785"}, {"ref": "thomasmeiner/s5e3-bluecast-minimal-code-example", "kernel_id": "79072671"}, {"ref": "thomasmeiner/s5e3-gemma-3-the-analyst-with-audio", "kernel_id": "79048589"}, {"ref": "albertchalim/kaggle-rainfall-prediction", "kernel_id": "79634318"}, {"ref": "dodoisdudu/noob-students-s5e3-rainfall-classification", "kernel_id": "79609182"}, {"ref": "vladimirmijatovic/rainfall-first-python-notebook-ever", "kernel_id": "79142118"}, {"ref": "vladimirmijatovic/rainfall-xgboost-with-optuna", "kernel_id": "79289116"}, {"ref": "vladimirmijatovic/rainfall-h20-baseline", "kernel_id": "79356545"}, {"ref": "nehadas55/binary-prediction-with-rainfall-dataset-predict", "kernel_id": "79056927"}, {"ref": "amulya0708/rainfall-prediction-using-stacking", "kernel_id": "79774088"}, {"ref": "alilashini/forcasting-rainfall-probability-voting-classifier", "kernel_id": "79203097"}, {"ref": "rishabhbhartiya/playgrounds5e3-smote-randomforest", "kernel_id": "79137039"}, {"ref": "singhjd/rain-prediction", "kernel_id": "79486515"}, {"ref": "adithyachalla/rain-predict", "kernel_id": "79416150"}, {"ref": "leonchani/22-stacking-lgbm-mlp-binary-prediction-rainfall", "kernel_id": "79084941"}, {"ref": "leonchani/01-only-eda-binary-prediction-with-rainfall", "kernel_id": "79013629"}, {"ref": "myhrann/rainfall-eda-feature-eng", "kernel_id": "79367004"}, {"ref": "myhrann/xgb-baseline01", "kernel_id": "79003055"}, {"ref": "myhrann/s5e3-lgbm-stratifiedkfold-cv", "kernel_id": "79299982"}, {"ref": "aerojasm/playground-series-s5e3-rainfall-modeling", "kernel_id": "79509804"}, {"ref": "andreal314159/binary-prediction-of-rainfall-eda-modelling", "kernel_id": "79523495"}, {"ref": "kaigaokaigao/fe-cv-0-886-lb-0-864-single-xgboost", "kernel_id": "79091849"}, {"ref": "rakkesharv/rainfall-prediction-0-88-score-mlp-modelling", "kernel_id": "79555985"}, {"ref": "giotamoraiti/rainfall-prediction-ranked-446-4381-score-0-90118", "kernel_id": "79227612"}, {"ref": "arpitrawat/neural-networks-starter-rainfall-prediction", "kernel_id": "79071641"}, {"ref": "mariusborel/cnn-on-rainfall-forcasting", "kernel_id": "79724470"}, {"ref": "jersonsborrero/xgboost-for-rainfall-prediction", "kernel_id": "79184530"}, {"ref": "alibekzhubekov/complete-rainfall-predictions", "kernel_id": "79315165"}, {"ref": "alibekzhubekov/v2-rainfall-dataset-alibek-zhubekov", "kernel_id": "79165725"}, {"ref": "alibekzhubekov/rainfall-dataset-alibek-zhubekov", "kernel_id": "79057308"}, {"ref": "adrienmorel97/rainfall-dataset-comprehensive-eda", "kernel_id": "79311853"}, {"ref": "adrienmorel97/rainfall-dataset-voting-classifier", "kernel_id": "79579377"}, {"ref": "kutlukatalay/0-99-auc-score-bagging-classifier-dataviz", "kernel_id": "79461099"}, {"ref": "masayakawamata/tabmclassifier-cv-0-8904", "kernel_id": "79206848"}, {"ref": "daniel09817/binary-prediction-with-a-rainfall-dataset", "kernel_id": "79484644"}, {"ref": "nickzhilsky/rainfall-predictions-random-forest", "kernel_id": "79143783"}, {"ref": "bikashtam/bik-binary-prediction-with-a-rainfall", "kernel_id": "79523896"}, {"ref": "evin97/rainfall-prediction-using-svc", "kernel_id": "79699666"}, {"ref": "matthewanoshin/0-86832-q1-catboost-over-voting-ensemble", "kernel_id": "79749855"}, {"ref": "tarundirector/podcast-pred-eda-xgb-ai-news", "kernel_id": "79644371"}, {"ref": "sumityadav30/rainfall-prediction", "kernel_id": "79189346"}, {"ref": "conclf/stacking-models", "kernel_id": "79417896"}, {"ref": "iitm21f1005327/notebook-1-rainfall", "kernel_id": "79625460"}, {"ref": "juleskantzer/when-the-sky-speaks-rainfall-prediction", "kernel_id": "79722653"}, {"ref": "wolfario/rainfall-competition-binary-classification", "kernel_id": "79047572"}, {"ref": "nikpetranovic/notebookb25157f83d", "kernel_id": "79190016"}, {"ref": "samiul2172/binary-prediction-with-a-rainfall-dataset", "kernel_id": "79276464"}, {"ref": "alkidiarete/tensorflow-decision-forests-rainfall", "kernel_id": "79965134"}, {"ref": "sturarods/rainfall-predict-w-rf-gb-lr-svc-xgb", "kernel_id": "79646704"}, {"ref": "offcialdeepak/rainfall-prediction-93-accuracy", "kernel_id": "79351975"}, {"ref": "axardion/rainfall-dataset-with-0-85-eda-feature-eng", "kernel_id": "79053197"}, {"ref": "saniya2001/it-s-pouring-in-kaggletown-rf-xgb-lr-dt", "kernel_id": "79030507"}, {"ref": "kartikgs/playground-rainfall-prediction", "kernel_id": "79012347"}, {"ref": "popokoike/rainfall-xgb-ps5e3", "kernel_id": "79190959"}, {"ref": "libamariyam/rainfall-prediction", "kernel_id": "79415813"}, {"ref": "leonardoareias/binary-prediction-with-a-rainfall-dataset", "kernel_id": "79730700"}, {"ref": "snehpatel3/rainfall-prediction-using-simple-xgboost", "kernel_id": "79416533"}, {"ref": "ravaghi/hill-climbing-example-classification", "kernel_id": "79461449"}, {"ref": "ravaghi/hill-climbing-example-regression", "kernel_id": "79461455"}, {"ref": "d4nilz/rainfall-binary-prediction-time-series-eda", "kernel_id": "79479357"}, {"ref": "piyushnaik/rainfall-prediction-model-stacking", "kernel_id": "79734832"}, {"ref": "showravdhar/binaryrainfallprediction-with-svm-and-optuna", "kernel_id": "79357523"}, {"ref": "prajapatirishabh/binary-prediction-with-a-rainfall", "kernel_id": "79360628"}, {"ref": "vanshikaseth630/rainfall-prediction", "kernel_id": "79673932"}, {"ref": "elieli94/rain-reliable-ai-inference-for-new-weather", "kernel_id": "79230999"}, {"ref": "vbollin/rainfall-prediction-lr-xgboost", "kernel_id": "79536070"}, {"ref": "aradhanahirapara/linear-regression-feature-sele-0-8854-public-score", "kernel_id": "79745931"}, {"ref": "sansanrosita/rainfall-predic", "kernel_id": "79306680"}, {"ref": "shlokraval/rainfall6", "kernel_id": "79713303"}, {"ref": "shlokraval/rainfall-pretrained", "kernel_id": "79539417"}, {"ref": "brianolave/kaggle-project-ii", "kernel_id": "79235012"}, {"ref": "agmbennett/1-0-lb-rainfall-binary-prediction-nn", "kernel_id": "79514768"}, {"ref": "edwinagustn/binary-prediction-competition", "kernel_id": "79298141"}, {"ref": "atharnaveed/binary-rain-prediction", "kernel_id": "79312726"}, {"ref": "ismail00/binary-prediction-with-a-rainfall", "kernel_id": "79585254"}, {"ref": "vaibhavjain23/rainfall-prediction", "kernel_id": "79024218"}, {"ref": "rishi0588/rainfall-dataset-with-reference", "kernel_id": "79426596"}, {"ref": "rishi0588/bda-training", "kernel_id": "79427418"}, {"ref": "rishi0588/bda-rainfall-competition", "kernel_id": "79422070"}, {"ref": "rishi0588/rainfall-data2", "kernel_id": "79768752"}, {"ref": "priyanshupadhi/notebookac1eb1c2ac", "kernel_id": "79769728"}, {"ref": "priyanshupadhi/s040-bda", "kernel_id": "79424783"}, {"ref": "dhwanilshah818/notebookfd210caefd", "kernel_id": "79561843"}, {"ref": "aryaparte/rainfalldata", "kernel_id": "79731890"}, {"ref": "mizan116/prediction-with-ensemble-rf-svm", "kernel_id": "79207617"}, {"ref": "yurgenveb/rainfall-preds-yurgen", "kernel_id": "79213791"}, {"ref": "sasinduchanakapiumal/rainfall-prediction-class-imbalance-rf-xgb", "kernel_id": "79205891"}, {"ref": "vikaskumarram/playground-series-season-05-episode-03", "kernel_id": "79311692"}, {"ref": "kinjalmandlecha/bda-project", "kernel_id": "79349856"}, {"ref": "hisatosenda/binary-prediction-score-0-85679", "kernel_id": "79268980"}, {"ref": "snehallaldas/rainfall-prediction-optimized-stacking-ensemble", "kernel_id": "79147841"}, {"ref": "christianbarreto07/0-8992-cv-73fold-fselect-4models-ensembleweighted", "kernel_id": "79685004"}, {"ref": "danyalabbas1/0-84-score", "kernel_id": "79121580"}, {"ref": "adamthomas11/s5-03-binary-prediction-of-rainfall", "kernel_id": "79629661"}, {"ref": "mahakj11/increased-dataset-mlp", "kernel_id": "79413294"}, {"ref": "mahekmistry/binary-rainfall-prediction-1", "kernel_id": "79506094"}, {"ref": "mahekmistry/binary-rainfall-pred-2-lgbmxgbm", "kernel_id": "79537985"}, {"ref": "mahekmistry/rainfallprediction-3", "kernel_id": "79539732"}, {"ref": "mahekmistry/binary-rainfall-pred-bayes-xgb", "kernel_id": "79543803"}, {"ref": "mahekmistry/rainfall-pred123", "kernel_id": "79696839"}, {"ref": "mahekmistry/rainfall-pred", "kernel_id": "79683676"}, {"ref": "sohamhande/submission-3", "kernel_id": "79683513"}, {"ref": "sohamhande/rainfall-prediction", "kernel_id": "79681435"}, {"ref": "sohamhande/rainfall-prediction-2", "kernel_id": "79682481"}, {"ref": "anshpunmiya/bda-project", "kernel_id": "79298906"}, {"ref": "macbeth1/rainfallpredection", "kernel_id": "79439762"}, {"ref": "daddy6969/rainfallpred-bda", "kernel_id": "79111696"}, {"ref": "zafarali27/rain-pred-eda-model", "kernel_id": "79051926"}, {"ref": "labeebadam/rainfall-analysis", "kernel_id": "79390281"}, {"ref": "leonargarcia/predicci-n-lluvias-pipelines-svc", "kernel_id": "79656280"}, {"ref": "amankumar094/rain-problem", "kernel_id": "79134705"}, {"ref": "dawoodarsalaan/eda-train-data", "kernel_id": "79238454"}, {"ref": "tark01/adv-features-rainfall-prediction", "kernel_id": "79767085"}, {"ref": "monkmode1/rainfall", "kernel_id": "79490107"}, {"ref": "feeldidaxie/when-the-sky-speaks-rainfall-prediction", "kernel_id": "79712443"}, {"ref": "nguyenminh2006/06-feature-engineering", "kernel_id": "79223206"}, {"ref": "jianyicai/rainfall-ensemble-rf-extra-xgb-hgb-ctb-lgb", "kernel_id": "79049500"}, {"ref": "jianyicai/rainfall-autogluon-0-85197", "kernel_id": "79152029"}, {"ref": "tinflorek/simple-neural-network", "kernel_id": "79174658"}, {"ref": "seifkhaled12/binary-prediction-with-a-rainfall-dataset", "kernel_id": "79162909"}, {"ref": "beraterolelk/rainfall-prediction-random-forest-classifier", "kernel_id": "79367226"}, {"ref": "beraterolelk/0-892-auc-rainfall-random-forest-baseline", "kernel_id": "79126306"}, {"ref": "kuluaparna/rain-prediction-with-tensorflow", "kernel_id": "79550327"}, {"ref": "mikeleston/s5-e3-baseline", "kernel_id": "79046854"}, {"ref": "hyckaggler/eda-polynomial-features-and-logistic-regression", "kernel_id": "79702073"}, {"ref": "haninimbarek/random-forest", "kernel_id": "79465282"}, {"ref": "ponthakornsodchun/rainfall-weather-forecasting-in-australia", "kernel_id": "79702125"}, {"ref": "db0boy/lb-0-882-cv-0-892-feature-eng-logreg", "kernel_id": "79338055"}, {"ref": "db0boy/real-lb-0-8959-no-public-solutions-deep-nn", "kernel_id": "79330495"}, {"ref": "neonkitsune/csc532-65130500212-rapids-knn-starter-ensemble", "kernel_id": "79343038"}, {"ref": "neonkitsune/csc532-65130500212-xgboost-starter-ensemble", "kernel_id": "79343324"}, {"ref": "ishitaganatra/rainfall-predictions", "kernel_id": "79086417"}, {"ref": "iamitul/binary-prediction", "kernel_id": "79519736"}, {"ref": "gothamjocker/deployment-streamlit-for-good-resume", "kernel_id": "79505571"}, {"ref": "dureyashfeen/rainfall-prediction", "kernel_id": "79540511"}, {"ref": "celalngr/rainfall-data-eda-and-machine-learning", "kernel_id": "79726843"}, {"ref": "ismailyassin256/simple-votingclassifier", "kernel_id": "79711221"}, {"ref": "ismailyassin256/catboost-rainfall-prediction", "kernel_id": "79044135"}, {"ref": "ismailyassin256/pytorch-rainfall-prediction", "kernel_id": "79084846"}, {"ref": "asifmahmudontu/notebook73919fb8e5", "kernel_id": "79362869"}, {"ref": "michael927/rainfall-pred", "kernel_id": "79473379"}, {"ref": "cpvnidhinp/0-90147-auc-pvtlb-catboost-optuna-fe-tricks", "kernel_id": "79768926"}, {"ref": "mayankkumar2177/rainfall-prediction", "kernel_id": "79680939"}, {"ref": "meganjarrell/notebookeb3df58819", "kernel_id": "79156417"}, {"ref": "mudgolwadravi639/rainfall-prediction-lr", "kernel_id": "79144962"}, {"ref": "dmitrysavkov/eda-playground-rainfall-s5e3", "kernel_id": "79769967"}, {"ref": "jayaantanaath/logistic-regression-s5-e03", "kernel_id": "79343863"}, {"ref": "khinkaungsanthutun/csc532-691-253-svc-w-feature-eng-and-k-means", "kernel_id": "79270519"}, {"ref": "khinkaungsanthutun/csc532-651-253-pss5e3-compute-public-lb-score", "kernel_id": "79272367"}, {"ref": "xaxahaha/0-95521-rainfall-eda-xgboost-fe", "kernel_id": "79636531"}, {"ref": "shameerahmed3339/06-feature-engineering", "kernel_id": "79297073"}, {"ref": "amberlite/ps5e3-rainfall-stacking-voting-clf", "kernel_id": "79131166"}, {"ref": "gauravkumar8888/rainfall-prediction", "kernel_id": "79213780"}, {"ref": "punitbandi/predicting-rainfall-with-logistic-regression-s5e3", "kernel_id": "79831064"}, {"ref": "ou20040313/bayes-xgboost", "kernel_id": "79073418"}, {"ref": "mesutbagl/binary-prediction-with-a-rainfall-dataset", "kernel_id": "79049035"}, {"ref": "unseenuser/mlp-model-private-lb-auc-0-90636", "kernel_id": "79777147"}, {"ref": "yujung1125/rainfall-predict-using-logistic-regression", "kernel_id": "79254271"}, {"ref": "khushbukamal02/rainfall-prediction", "kernel_id": "79554402"}, {"ref": "tuesdaymatched/rain-prediction", "kernel_id": "79352833"}, {"ref": "codexbhawesh/playground-s3e5", "kernel_id": "79470232"}, {"ref": "konstantin1212/sad-hehe", "kernel_id": "79896528"}, {"ref": "adostie3/binary-prediction-with-a-rainfall-dataset", "kernel_id": "79376896"}, {"ref": "janvancauwenberghe/rainfall-1", "kernel_id": "79695220"}, {"ref": "ennamb/the-rain-catches-you-and-you-fall-down", "kernel_id": "79184875"}, {"ref": "hanu258/06-feature-engineering", "kernel_id": "79273422"}, {"ref": "vojtechnaar/binary-prediction-rainfall-dateset-final", "kernel_id": "79747015"}, {"ref": "elansooriyan/will-it-or-eda-fe-l1-l2-re-models-0-76-score", "kernel_id": "79636523"}, {"ref": "shivanshwo/stacked-model-xgboost-catboost-lightgbm", "kernel_id": "79707958"}, {"ref": "ikhwanramadhan/ltsm-rainfall-prediction", "kernel_id": "79488295"}, {"ref": "thejustinbee/logisticregression", "kernel_id": "79228686"}, {"ref": "shehanazbegam/predict-rain-probability", "kernel_id": "79449561"}, {"ref": "godmouli/moulipredictrainfall", "kernel_id": "79442312"}, {"ref": "yashtooky/rainfall-competition-classification", "kernel_id": "79629023"}, {"ref": "ganeevchawla/rainfall-xgboost", "kernel_id": "79569776"}, {"ref": "sam114119/notebook-last-code", "kernel_id": "79149267"}, {"ref": "dmytrobuhai/eda-rf", "kernel_id": "79181189"}, {"ref": "linfengwu19981025/rainfall-eda", "kernel_id": "79067105"}, {"ref": "waelhasan111/rainfall-model-simple-approach", "kernel_id": "79303812"}, {"ref": "vijayshankar70/rainfall-dataset-logistic-regression", "kernel_id": "79280444"}, {"ref": "pragatikhatribta/notebook1bad8c5b56", "kernel_id": "79374291"}, {"ref": "matheuscarne/teste2", "kernel_id": "79749882"}, {"ref": "edoardap/aula1test", "kernel_id": "79733371"}, {"ref": "edoardap/aula1", "kernel_id": "79384706"}, {"ref": "gislanydias/notebook02069124ac", "kernel_id": "79384714"}, {"ref": "arlansantos13/binary-prediction-with-a-rainfall-dataset-arlan", "kernel_id": "79384990"}, {"ref": "thiagomathe/atividade-01-binary-prediction", "kernel_id": "79384707"}, {"ref": "sharoneshibup/binary-prediction-with-a-rainfall-dataset", "kernel_id": "79581782"}, {"ref": "kush1729/xgboost-gridsearchcv-rainfall-prediction", "kernel_id": "80775408"}, {"ref": "moeabdelkader/rainfall-predictions-with-tabpfn-vs-lightgbm", "kernel_id": "80226638"}, {"ref": "toshakfalak/rainfall-prediction-use-xgboost", "kernel_id": "80901863"}, {"ref": "gurramgopichandh/xgboost-classifier", "kernel_id": "80185498"}, {"ref": "alialawneh/rainfall-binary-prediction", "kernel_id": "80504979"}, {"ref": "althariqfairuz/binary-rainfall-prediction-with-svc-model", "kernel_id": "80266746"}, {"ref": "purinutpolasanano/0-89605-autogluon-rainfall-binary-prediction", "kernel_id": "80269000"}, {"ref": "abelbihinda/rainfall-predictions", "kernel_id": "80798146"}, {"ref": "pankajkotecha/pankaj-rainfallpred", "kernel_id": "80363086"}, {"ref": "yashsharma1216/rainfall-prediction-using-different-models", "kernel_id": "80072510"}, {"ref": "praxitelisntokos/from-data-insights-to-rainfall-forecasts", "kernel_id": "80801362"}, {"ref": "palvinder2006/rainfall-prediction", "kernel_id": "80007478"}, {"ref": "rishi0588/rainfall-dataset", "kernel_id": "80449736"}, {"ref": "priyanshupadhi/bda-eda", "kernel_id": "80618818"}, {"ref": "sarahnoorani/rainfall-prediction-2", "kernel_id": "80614330"}, {"ref": "aryaparte/bda-project2", "kernel_id": "80614772"}, {"ref": "shanthirajeswari/rainfallprediction-allclassificationalg", "kernel_id": "80209660"}, {"ref": "shivkkkk/bda-rainfall-competition", "kernel_id": "80613855"}, {"ref": "sheemamasood/binary-prediction-rainfall", "kernel_id": "80406546"}, {"ref": "hardikvij/linear-regression", "kernel_id": "80620880"}, {"ref": "hardikvij/rainfall-prediction-use-xgboost", "kernel_id": "80621080"}, {"ref": "ragcha04/bda-submission", "kernel_id": "80793423"}, {"ref": "ranapratapdeshmukh/bdacompetition", "kernel_id": "80606879"}, {"ref": "ak5047/binary-rainfall", "kernel_id": "80626892"}, {"ref": "berkerenakmak/is-gonna-rain-submission-89-5-accuracy-ann", "kernel_id": "80165609"}, {"ref": "truptimaindargi1610/linear-regression", "kernel_id": "80617422"}, {"ref": "namuziki/data-science-1-week3", "kernel_id": "80356413"}, {"ref": "prathmesh284/binary-rainfall-prediction-bda", "kernel_id": "80603331"}, {"ref": "poadelicdaniel/private-score-0-89712-solution", "kernel_id": "80059430"}, {"ref": "daniel9348597/weather-logit", "kernel_id": "80681309"}, {"ref": "khushiparihar14/binary-prediction-with-a-rainfall-dataset", "kernel_id": "80626261"}, {"ref": "dishasheregar/wine-dataset", "kernel_id": "80631182"}, {"ref": "dishasheregar/binary-prediction-with-a-rainfall-dataset", "kernel_id": "80630151"}, {"ref": "soobinjung/soobin-kaggle-v1", "kernel_id": "80821794"}, {"ref": "sieunr/notebookaab8d8ab76", "kernel_id": "80355196"}, {"ref": "miracleharu/notebook6c5926c220", "kernel_id": "80768319"}, {"ref": "titassaha/rainfall-pred-logisticreg-knn-randomforest", "kernel_id": "81912616"}, {"ref": "ezzaldin6/experiment-tracking-w-b", "kernel_id": "81895876"}, {"ref": "cesarpedraja/rainfall-prediction-report-cesarpedraja", "kernel_id": "81072627"}, {"ref": "hosnyabdullahmohamed/weather-competition", "kernel_id": "81485287"}, {"ref": "hemalone/rainfall-prediction-feature-selection", "kernel_id": "81122666"}, {"ref": "mingo126/final-rainfall-pvt-rank-342-4382-score-0-89968", "kernel_id": "81651967"}, {"ref": "varunraosfanlkan/prior-model-with-eda-and-pv-score-0-89446", "kernel_id": "81007732"}, {"ref": "alperugurca/tabpfn", "kernel_id": "81707184"}, {"ref": "kamaljit/rain-fall-prediction", "kernel_id": "82287616"}, {"ref": "mitravarun/binary-rain-fall-prediction", "kernel_id": "82690884"}, {"ref": "prajwaljahagirdar/binary-prediction-with-a-rainfall-dataset", "kernel_id": "82164053"}, {"ref": "shivamarora384/binary-prediction-notebook", "kernel_id": "82464898"}, {"ref": "tamareltech/s05e03-rainfall-prediction-ensemble", "kernel_id": "82921941"}, {"ref": "devazureskybox/notebookfacebbe35c", "kernel_id": "82719566"}, {"ref": "lele25811/s05e03-binary-prediction-with-a-rainfall-dataset", "kernel_id": "82109464"}, {"ref": "pragatikhatribta/rainfall-predicted1", "kernel_id": "82996756"}, {"ref": "yeomhaewon/notebook29514ca315", "kernel_id": "82714577"}, {"ref": "gvalentini/rainfall-prediction", "kernel_id": "83470920"}, {"ref": "diyagupta01/rainfall-prediction", "kernel_id": "83060567"}, {"ref": "asilbekjon/rainfall-predict", "kernel_id": "83402012"}, {"ref": "bagnarayanan/binary-prediction-with-rainfall", "kernel_id": "83678635"}, {"ref": "heymep/xgboost", "kernel_id": "84160405"}, {"ref": "emreerdin/rainfall-prediction-tree-based", "kernel_id": "84008649"}, {"ref": "znaxxh/eda-pipeline-xgboost-optuna", "kernel_id": "84117288"}, {"ref": "daefudeif/ensemble-boosting-lstm-classifier", "kernel_id": "84884172"}, {"ref": "alekseizaitseva/s5e3-feature-engineering-xgb-optuna", "kernel_id": "85000357"}, {"ref": "denvermagtibay/rainfall-prediction-via-xgb-tabpfn-svc-ensemble", "kernel_id": "85865204"}, {"ref": "oguztoy/rainfallprediction", "kernel_id": "85496080"}, {"ref": "masanori628/notebook1", "kernel_id": "85939892"}, {"ref": "kawamurahatsuki/rainfall12", "kernel_id": "85951623"}, {"ref": "nakaya1455/explanatory-variable-8-final", "kernel_id": "85950752"}, {"ref": "nebulizer/notebook530a85ce17", "kernel_id": "85939893"}, {"ref": "codingloading/rainfall-prediction-xgb-lgb", "kernel_id": "86601741"}, {"ref": "sakhawathossen/rainfall-prediction-eda-ml-dl", "kernel_id": "86028318"}, {"ref": "vedanshtyagi2451/binary-prediction-with-rainfall-dataset", "kernel_id": "86633864"}, {"ref": "hai2311/rainfall-prediction-show-me-where-i-can-improve", "kernel_id": "86800293"}, {"ref": "sugimotogreen/notebook-add", "kernel_id": "86535833"}, {"ref": "sugimotogreen/notebook78bd1451a0", "kernel_id": "86356776"}, {"ref": "iwasakiitsuki/notebook86ca65a9a4", "kernel_id": "86386309"}, {"ref": "moonmt/notebook905a074c99", "kernel_id": "86386060"}, {"ref": "sorabimu/notebookdd3fe271aa", "kernel_id": "86387147"}, {"ref": "tooori/notebookff857f2dfc", "kernel_id": "86385944"}, {"ref": "basabasa15/notebook192586b19b", "kernel_id": "86385531"}, {"ref": "jgoehdoel/notebook-add-6776fd", "kernel_id": "86856401"}, {"ref": "takahiko2003/notebook-rainfalltest", "kernel_id": "86856714"}, {"ref": "ysk3219/notebook6dc2c546c6", "kernel_id": "86385947"}, {"ref": "kkyy38/notebookc85efebede", "kernel_id": "86386582"}, {"ref": "yutatsuka06/notebookfac3757b7a", "kernel_id": "86390085"}, {"ref": "sakataction/date-science", "kernel_id": "86385868"}, {"ref": "tanakaasahi/notebook49d896882b", "kernel_id": "86330133"}, {"ref": "tanakaasahi/notebook6ac2163b914c85f80cec", "kernel_id": "86545351"}, {"ref": "inaaki/notebook0d4efd40e5", "kernel_id": "86385997"}, {"ref": "airikato/notebook-binary", "kernel_id": "86383878"}, {"ref": "kawata82/notebook2a908211cc", "kernel_id": "86387144"}, {"ref": "yukimanabe/notebook4308ecf821", "kernel_id": "86386686"}, {"ref": "sagaraman8/predicting-rainfall-with-eda", "kernel_id": "86782075"}, {"ref": "tamerkanak/rainfall-dataset-oof-prediction", "kernel_id": "87969622"}, {"ref": "mariusborel/stacking-on-intro-vs-extrovert", "kernel_id": "87573687"}, {"ref": "hakankocakk/binary-prediction-with-a-rainfall-dataset", "kernel_id": "87544939"}, {"ref": "hayashimiyako/notebook-date-science", "kernel_id": "87697634"}, {"ref": "sugimotogreen/submit", "kernel_id": "87829358"}, {"ref": "xc1999/notebook84g4e9dw45", "kernel_id": "87836956"}, {"ref": "basabasa15/notebook709647b712", "kernel_id": "87838220"}, {"ref": "shigemiryokuto/notebook-add-87af9c", "kernel_id": "87837891"}, {"ref": "sakataction/datescience", "kernel_id": "87842092"}, {"ref": "noke1129/submit", "kernel_id": "87837549"}, {"ref": "ekusok8120/submit", "kernel_id": "87837748"}, {"ref": "ekusok8120/notebook-add-cdd08f", "kernel_id": "87963999"}, {"ref": "elvanyali/rainfall-dataset-data-analyst", "kernel_id": "87615598"}, {"ref": "fikricetin/playground-s5e3-xgb-tabpfn-rapids-svc", "kernel_id": "88454547"}, {"ref": "umutcankonukcu/binary-prediction-with-a-rainfall-xgboost-svm", "kernel_id": "88615952"}, {"ref": "emrullahyediyildiz/binary-prediction-with-a-rainfall-dataset", "kernel_id": "89724346"}, {"ref": "hzning/0-87684-the-simplest-lightgbm", "kernel_id": "89149512"}, {"ref": "sanskarshindeds/rainfallprediction", "kernel_id": "89040941"}, {"ref": "bekimrexhepi/rainfall", "kernel_id": "90290419"}, {"ref": "sanskarshindeds/rainfall-2", "kernel_id": "90187077"}, {"ref": "nishantgautam0079/binary-rainfall-prediction-problem", "kernel_id": "91287115"}, {"ref": "nithinjakrebet/cse-572-binary-rainfall-prediction", "kernel_id": "91668968"}, {"ref": "vickysen/rainfall-prediciton-rf", "kernel_id": "93326458"}, {"ref": "ouzhanakr/late-submission-ps-s5e3-xgboost-optuna", "kernel_id": "95809298"}, {"ref": "xinyang11010709/polars-glm-xgb-rf-nnet-scikit-learn", "kernel_id": "97410139"}, {"ref": "ashmeet555/rainfall-prediction", "kernel_id": "97051602"}, {"ref": "makrrc/binary-prediction-with-a-rainfall-dataset", "kernel_id": "101822430"}, {"ref": "masayakawamata/s5e3-autogluon-origcol", "kernel_id": "104230101"}, {"ref": "philippsinger/tabpfn-2-5-top-private-lb", "kernel_id": "105847062"}, {"ref": "parulpandey/tabpfn-2-5-demo", "kernel_id": "105166819"}, {"ref": "ryograce/private-score-0-90110", "kernel_id": "105263784"}, {"ref": "nikita7364777/t1-pig-posture-classification", "kernel_id": "107341105"}, {"ref": "enesyama/rainfallpredictionclassification", "kernel_id": "109098085"}, {"ref": "sevvalclalcebeciolu/binary-prediction-with-a-rainfall-dataset", "kernel_id": "109183554"}, {"ref": "osmanozcanli/binary-prediction-with-a-rainfall-dataset", "kernel_id": "110735291"}, {"ref": "parashqeviklimi/final-project-ml-parashqevi-klimi", "kernel_id": "110018923"}, {"ref": "philippsinger/tabpfn-2-6-new-top-private-lb", "kernel_id": "113610006"}, {"ref": "nihalba/binary-prediction-with-a-rainfall-dataset", "kernel_id": "113644240"}, {"ref": "ebjdoe/ps-s5e3-rainfall-which-features-actually-matter", "kernel_id": "113044564"}, {"ref": "evgendvorkin/catboost-origdata-0-90161-private-top-3", "kernel_id": "114468151"}, {"ref": "zynptkn06/binary-prediction-with-a-rainfall-dataset", "kernel_id": "114917486"}, {"ref": "praxitelisntokos/rainfall-lstm", "kernel_id": "120578655"}, {"ref": "kaziamirhamza/support-vector-machine-linear", "kernel_id": "121850428"}, {"ref": "kaziamirhamza/rainfall-prediction-with-logistic-regression", "kernel_id": "121701920"}, {"ref": "kaziamirhamza/rainfall-predict-w-logistic-reg-l2-regularization", "kernel_id": "121703699"}, {"ref": "syedshaanhusain/rainfall-prediction-with-logistic-regression", "kernel_id": "125949158"}, {"ref": "zqx960151285/binary-prediction-with-a-rainfall-dataset", "kernel_id": "129528471"}, {"ref": "kemdau/ensemble", "kernel_id": "133785929"}, {"ref": "beraterolelk/rainfall-eda-thermodynamic-feature-guide", "kernel_id": "134761082"}]}
{"competition_id": "91715", "kernels": [{"ref": "satyaprakashshukl/neural-network-podcast-prediction", "kernel_id": "77708940"}, {"ref": "lyalina/relaxing-podcast-time-with-h2o", "kernel_id": "79988677"}, {"ref": "debisree/predict-podcast-listening-time", "kernel_id": "79769013"}, {"ref": "charlottetu/podpredict-eda-and-xgboost", "kernel_id": "79804656"}, {"ref": "yekenot/ps-s5-e4-deeptables-nn", "kernel_id": "79857163"}, {"ref": "egregori/how-about-this-approach-with-training-rmse-12", "kernel_id": "79844182"}, {"ref": "docxian/ps-s5-e04-auto-eda-sweetviz-and-baseline", "kernel_id": "79847059"}, {"ref": "stopwhispering/podcast-eda", "kernel_id": "79781313"}, {"ref": "toystory2/podcast-prediction-using-explainable-ai-shap", "kernel_id": "79846284"}, {"ref": "oscarm524/ps-s5-ep4-eda-modeling-submission", "kernel_id": "79761239"}, {"ref": "essharmav/podcast-listening-time-prediction-xgboost", "kernel_id": "79922787"}, {"ref": "niscreed/xgb-modeling-podcasting", "kernel_id": "79794260"}, {"ref": "stpeteishii/podcast-lgbmregressor-w-processed-data", "kernel_id": "79787882"}, {"ref": "stpeteishii/podcast-processed-data", "kernel_id": "79785801"}, {"ref": "plavak10/podcast-listening-time", "kernel_id": "79946758"}, {"ref": "mpwolke/bro-let-s-start-a-kaggle-podcast", "kernel_id": "79753737"}, {"ref": "catadanna/tab-s5e4-hexagone", "kernel_id": "79984091"}, {"ref": "digvijaysingh25/forestcast-predict-podcast-listening-with-rf", "kernel_id": "79850745"}, {"ref": "kalilurrahman/kaggle-playground-s5e4-play-podcast-eda", "kernel_id": "79788504"}, {"ref": "pinoystat/se5-e4-predict-podcast", "kernel_id": "79767637"}, {"ref": "aaronisomaisom3/lgbm-optuna-eda", "kernel_id": "79913479"}, {"ref": "hopesb/predict-podcast-listening-time", "kernel_id": "79903149"}, {"ref": "swas06/podcast-baselinemodel-xgboost", "kernel_id": "79903182"}, {"ref": "swas06/podcast-eda", "kernel_id": "79843859"}, {"ref": "tracyporter/play-5-4-mlp-reg", "kernel_id": "79962302"}, {"ref": "tracyporter/play-5-4-linear-regression", "kernel_id": "79929075"}, {"ref": "josephnehrenz/12-8-regression-s5e4-simple-catboost-podcasts-r", "kernel_id": "79772558"}, {"ref": "thomasmeiner/s5e4-gemma-3-analyst-eda-podcast-with-audio", "kernel_id": "79799609"}, {"ref": "thomasmeiner/s5e4-bluecast-2-0-nightly-meets-catboost", "kernel_id": "79908553"}, {"ref": "vladimirmijatovic/listen-to-me-eda-podcasts", "kernel_id": "79775219"}, {"ref": "vladimirmijatovic/podcasts-baseline-h2o", "kernel_id": "79773729"}, {"ref": "valentinemwai/podcast-listening-time-eda-xgboost-lightgbm", "kernel_id": "79787174"}, {"ref": "jocelyndumlao/rmse-analysis-for-podcast-listeningtime-prediction", "kernel_id": "79874856"}, {"ref": "rishabhbhartiya/playgrounds5e4-rmse", "kernel_id": "79871386"}, {"ref": "umarwaqar/comp-predict-podcast-listening-time", "kernel_id": "79950313"}, {"ref": "ankandebnath/predict-podcast-listening-time-1", "kernel_id": "79767670"}, {"ref": "satyaprakashshukl/predict-podcast-listening-time", "kernel_id": "79922517"}, {"ref": "satyaprakashshukl/h20-podcast-listening-time-ensemble", "kernel_id": "79984473"}, {"ref": "ravi20076/playgrounds5e4-baseline-v1", "kernel_id": "79756187"}, {"ref": "ravi20076/playgrounds5e4-baseline-v2", "kernel_id": "79788690"}, {"ref": "ravi20076/playgrounds5e4-public-imports-v1", "kernel_id": "79699969"}, {"ref": "andreal314159/podcast-listening-eda-modelling", "kernel_id": "79918561"}, {"ref": "hamzabinbutt/predict-podcast-listening-time", "kernel_id": "79940571"}, {"ref": "fengyuhui/predict-podcast-listening-time-s5e4", "kernel_id": "79931934"}, {"ref": "rv1922/predict-listening-time-optuna-rmse", "kernel_id": "79805036"}, {"ref": "rakkesharv/predict-podcast-listening-time-13-01-light-gbm", "kernel_id": "79933421"}, {"ref": "hudasaleh1/predict-podcast-listening-time", "kernel_id": "79985197"}, {"ref": "prash4nt/noeda-randomforest", "kernel_id": "79770329"}, {"ref": "giotamoraiti/eda-models-eval-12-61696", "kernel_id": "79789158"}, {"ref": "hansalkothari/feature-engineering-catboost-optuna-r2-0-857", "kernel_id": "79984376"}, {"ref": "arpitrawat/mlps-starter-for-podcast-prediction", "kernel_id": "79805455"}, {"ref": "mariusborel/predict-podcast-listening-time-catboost", "kernel_id": "79750474"}, {"ref": "mariusborel/xgboost-on-potcast-listening-time", "kernel_id": "79974740"}, {"ref": "gkanamoto/pss5e4-xgb-cv-12-64", "kernel_id": "79794154"}, {"ref": "yashkc2025/playgrounds5e4-lightgbm-beginner-approach", "kernel_id": "79824593"}, {"ref": "alihaiderahmad/eda-predict-podcast-listening-time", "kernel_id": "79995378"}, {"ref": "rtenorioramirez/podcast-xgb-vs-cat-vs-lightgbm", "kernel_id": "79753999"}, {"ref": "adrienmorel97/eda-outlier-cleaning-encoding-xgboost-13-26", "kernel_id": "79785259"}, {"ref": "abhirmirikar/podcast-listening-time", "kernel_id": "79838279"}, {"ref": "michaorlewski/s5e4-podcast-listening-time-lgbm-optuna-with-eda", "kernel_id": "79788174"}, {"ref": "masayakawamata/s5e4-gbdt-ensemble-baseline", "kernel_id": "79756241"}, {"ref": "a3amat02/s5e4-podcast-listening-times-introductory-eda", "kernel_id": "79791827"}, {"ref": "abhinavsharma0706/podcast", "kernel_id": "79976551"}, {"ref": "matthewanoshin/catboost-eda-binaryencoder-baseline", "kernel_id": "79846879"}, {"ref": "dantheshark/playground-series-s5e4-eda", "kernel_id": "79850293"}, {"ref": "michalinahulak/playing-with-the-metric-rmse", "kernel_id": "79865729"}, {"ref": "michalinahulak/embeddings", "kernel_id": "79944054"}, {"ref": "michalinahulak/model", "kernel_id": "79940247"}, {"ref": "calebboen/podcast-listening-time-prediction-ps-s5e4", "kernel_id": "79864292"}, {"ref": "tarundirector/podcast-pred-eda-xgb-ai-news", "kernel_id": "79644371"}, {"ref": "pranjali1121/podcast-listening-time", "kernel_id": "79757949"}, {"ref": "lekhatopil/predict-podcast-listening-time-catboost", "kernel_id": "79777852"}, {"ref": "arthisri14/podcast-prediction", "kernel_id": "79873514"}, {"ref": "vanpatangan/predict-podcast-listening-time", "kernel_id": "79996810"}, {"ref": "chrisk321/podcast-listening-r-eda-submission", "kernel_id": "79754097"}, {"ref": "syednazmussakib/baseline-eda", "kernel_id": "79754982"}, {"ref": "les1781/listening-time-prediction-playground-series-s5-e4", "kernel_id": "79829043"}, {"ref": "eikyou/xgboost-simple-baseline", "kernel_id": "79762466"}, {"ref": "vishnupriyagarige/podcast-listening-time-pipeline", "kernel_id": "79824083"}, {"ref": "vishnupriyagarige/podcast-listening-time-regression", "kernel_id": "79760165"}, {"ref": "yunsuxiaozi/pss5e4-xgb-baseline", "kernel_id": "79781402"}, {"ref": "ayushchandramaurya/podcast-predicting-how-long-they-ll-listen", "kernel_id": "79894901"}, {"ref": "akashrane2609/podcast-listening-time-prediction", "kernel_id": "79948879"}, {"ref": "abeshith/listening-music-always-refreshing", "kernel_id": "79767315"}, {"ref": "sandeepsharma94169/podcast-time-prediction", "kernel_id": "79880189"}, {"ref": "itasps/automl-autogluon-podcast", "kernel_id": "79764181"}, {"ref": "snehalkhandewale/podcast-listening-time-prediction-base-models", "kernel_id": "79766870"}, {"ref": "snehalkhandewale/podcast-listening-prediction", "kernel_id": "79793219"}, {"ref": "snehalkhandewale/stacking-time-spent-on-podcasts", "kernel_id": "79985833"}, {"ref": "subarnasaikia/podcasting", "kernel_id": "79835860"}, {"ref": "vinodkumargurjar/podcast-listening-time", "kernel_id": "79986552"}, {"ref": "francescoalbanesephd/s5e4-ensemble-targetencode-mi-optuna-v1-6", "kernel_id": "79930021"}, {"ref": "litsea/ps5e04-quality-eda-fe-xgboost", "kernel_id": "79777592"}, {"ref": "arishsaifi28/podcast-lightgbm", "kernel_id": "79991646"}, {"ref": "aayushiweb/predict-podcast-listening-time", "kernel_id": "79881473"}, {"ref": "lizzylee1111111111/eda-single-catboost", "kernel_id": "79763185"}, {"ref": "brooklyn47/podcast-by-kaggle-current-rmse-12-83", "kernel_id": "79783325"}, {"ref": "eliasproger/podcast-listening-time-experiments", "kernel_id": "79775594"}, {"ref": "kishorreddy9/eda-featureengineering-catboost", "kernel_id": "79796422"}, {"ref": "introverstein/s5e4-data-processing-modeling-submission", "kernel_id": "79909324"}, {"ref": "introverstein/s5e4-eda", "kernel_id": "79808490"}, {"ref": "introverstein/s5e4-adversarial-validation", "kernel_id": "79758874"}, {"ref": "tylerfeemster/feature-insight-trick-information-theory", "kernel_id": "79961191"}, {"ref": "abdulrasheedyusuf25/help-needed-my-test-predictions-are-too-high", "kernel_id": "79939731"}, {"ref": "mikhailnaumov/podcast-nn-ydf-cat-xgb-lgbm-hgb", "kernel_id": "79936920"}, {"ref": "d4nilz/s5e4-base-ensemble-lb-13-05", "kernel_id": "79762370"}, {"ref": "karthikbk1/notebook7b381db5ad", "kernel_id": "79912663"}, {"ref": "somendrew/s5ep4-podcast-time-eda", "kernel_id": "79777204"}, {"ref": "samanyuk/predict-podcast-listening-time-ps-s5e4", "kernel_id": "79872433"}, {"ref": "vbollin/predict-podcast-listening-time", "kernel_id": "79849579"}, {"ref": "solomonajaero/podcast-listening-time-optuna-lightm", "kernel_id": "79958530"}, {"ref": "nguyencongminh/very-simple-linear-regression", "kernel_id": "79867144"}, {"ref": "alaasweed/pg-s5e4-how-long-do-you-listen-optuna", "kernel_id": "79754081"}, {"ref": "ratnajitdhar08/s5e4-eda-feature-engineering", "kernel_id": "79833793"}, {"ref": "ashishk1331/predict-podcast-listening-time", "kernel_id": "79776497"}, {"ref": "sunnyvarnawal/ps5e4-eda", "kernel_id": "79757966"}, {"ref": "yteshima/ps5s4-simple-dashboard-and-xgboost-et-al", "kernel_id": "79796667"}, {"ref": "sadettinamilverdil/podcast-listening-time-prediction-using-xgboost", "kernel_id": "79809080"}, {"ref": "aryamanvaishya/pod-prediction", "kernel_id": "79884723"}, {"ref": "ahmedsamir1598/s5e4-baseline-stackingregressor", "kernel_id": "79768886"}, {"ref": "hisatosenda/podcast-listening-eda", "kernel_id": "79977681"}, {"ref": "saiganeshvoodi/podcast-predictions-v1", "kernel_id": "79854715"}, {"ref": "cartoonistbeard/predict-podcast-singlexgb-te-cv-12-44-lb-12-44", "kernel_id": "79551497"}, {"ref": "christianbarreto07/custom-preprocessing-pipeline-xgb-and-featselect", "kernel_id": "79854602"}, {"ref": "keyushnisar/ps5e4-eda-feature-engineering-boosting", "kernel_id": "79791877"}, {"ref": "dead2lock/notebook827a505267", "kernel_id": "79799311"}, {"ref": "ssashinn/podcast", "kernel_id": "79999076"}, {"ref": "chrissliroth01/ps5e4-xgb-optuna-ensemble", "kernel_id": "79807989"}, {"ref": "yaseredkina/sy-podcast-prediction", "kernel_id": "79933287"}, {"ref": "jianyicai/tpe-rf-extra-xgb-hgb-ctb-lgbm-minimize", "kernel_id": "79834907"}, {"ref": "tinflorek/solo-xgb", "kernel_id": "79777792"}, {"ref": "errorrific/podcast-listening-time-prediction", "kernel_id": "79817563"}, {"ref": "errorrific/podcast-randomforest", "kernel_id": "79996883"}, {"ref": "yunusemreakca/podcastpredict-eda", "kernel_id": "79777995"}, {"ref": "haninimbarek/eda-on-podcast-listening-time-data-playground-s5e4", "kernel_id": "79895595"}, {"ref": "swandipsingha/s5e4-eda-fe-xgboost-129-rank", "kernel_id": "79774194"}, {"ref": "marwanashref/starter-notebook-eda", "kernel_id": "79753762"}, {"ref": "jiaoyouzhang/podcast-lightgbm-xgboost", "kernel_id": "79756501"}, {"ref": "celalngr/ps-s5e4-eda-prediction", "kernel_id": "79842950"}, {"ref": "muqingyu666/feature-engineering-tabularnn-approach", "kernel_id": "79887456"}, {"ref": "muqingyu666/score12-82-podtime-predictor-catboost-solution", "kernel_id": "79764554"}, {"ref": "muqingyu666/the-only-podcast-eda-you-ll-ever-need", "kernel_id": "79760247"}, {"ref": "nirmitgavate1/podcast-time", "kernel_id": "79886641"}, {"ref": "moridata/update-predict-podcast-listening-time", "kernel_id": "79885911"}, {"ref": "kushubhai/predict-podcast-listening-time-notebook", "kernel_id": "79810200"}, {"ref": "zhangfero/ps-april2025-xgboost", "kernel_id": "79961334"}, {"ref": "jayaantanaath/xgboost-eda-model-tuning", "kernel_id": "79868898"}, {"ref": "japerboy/ai-analysis", "kernel_id": "79882891"}, {"ref": "amberlite/s5e4-podcast-listening-time", "kernel_id": "79808074"}, {"ref": "hanzeruiooo/predict", "kernel_id": "79859997"}, {"ref": "rishiiiiii0099/predict-podcast-listening-time-12-88-score", "kernel_id": "79771309"}, {"ref": "ou20040313/12-636-xgboost-bayes", "kernel_id": "79769850"}, {"ref": "penbenur/predict-podcast-listening-time", "kernel_id": "79945617"}, {"ref": "davidgathara/predicting-listening-time", "kernel_id": "79903875"}, {"ref": "rajivgaba/podcast-times-how-long-can-you-listen-to-12-89", "kernel_id": "79798977"}, {"ref": "nishantkumar1909/predict-podcast-listening-notebook", "kernel_id": "79821833"}, {"ref": "olaflundstrom/predict-podcast-listening-time-dtu", "kernel_id": "79895374"}, {"ref": "olaflundstrom/podcast-listening-time-prediction-notebook", "kernel_id": "79881774"}, {"ref": "olaflundstrom/predicting-podcast-listening-time-academic", "kernel_id": "79841556"}, {"ref": "olaflundstrom/predictive-modeling-of-podcast-listening-dtu", "kernel_id": "79761916"}, {"ref": "konstantin1212/hehe-predict-podcast-listening-time", "kernel_id": "79833283"}, {"ref": "martjm26/xgboost-refactoring-an-old-c-deotte-notebook", "kernel_id": "79918767"}, {"ref": "williamroberttabb/podcast-listening-time", "kernel_id": "79846314"}, {"ref": "rohanpurohit0705/automl-listen-time-prediction", "kernel_id": "79995563"}, {"ref": "maheshwaridivya/eda-pre-processing-fmt-ensembletechniques", "kernel_id": "79781639"}, {"ref": "dmytrobuhai/eda-feature-engineering-xgboost", "kernel_id": "79790648"}, {"ref": "blaku03/from-beginner-for-beginners-basic-randomforest", "kernel_id": "79918139"}, {"ref": "thiagomathe/atividade-02-predict-podcast-listening-time", "kernel_id": "79927925"}, {"ref": "kayrahanozcan/predict-podcast-listening-time-v1-0", "kernel_id": "79898540"}, {"ref": "cdthinh/easiest-auto-visualization-modeling-rmse-12-72", "kernel_id": "80864376"}, {"ref": "aerdem4/podcast-listening-lofo-feature-importance", "kernel_id": "80344278"}, {"ref": "cv13j0/predicting-podcast-listening-time-ml-ideas", "kernel_id": "80295992"}, {"ref": "abisheksrivastav/listening-time", "kernel_id": "80861762"}, {"ref": "abisheksrivastav/predict-podcast-listening-time", "kernel_id": "80421943"}, {"ref": "nivgeron/predicting-listening-time-by-ai-agent", "kernel_id": "80825157"}, {"ref": "pastorsoto/dataquest-starter-predict-podcast-listening-time", "kernel_id": "80057332"}, {"ref": "stpeteishii/podcast-catboostregressor-w-processed-data", "kernel_id": "80925721"}, {"ref": "kesavsivakumar/eda-catboost-xgboost-pgs-april-2025", "kernel_id": "80295848"}, {"ref": "sanpier/lb-12-30s-simple-one-fe-default-lgbm", "kernel_id": "80676414"}, {"ref": "satya2492/spotify-podcast-listening-prediction", "kernel_id": "80306529"}, {"ref": "franro/podcast-listening-insights", "kernel_id": "80023684"}, {"ref": "nishiokande/predict-podcast-listening-time-notebook", "kernel_id": "80369911"}, {"ref": "nishiokande/predict-podcast-listening-time", "kernel_id": "80011001"}, {"ref": "catadanna/optuna-nn-s5e4", "kernel_id": "80205598"}, {"ref": "drakendan/podast-listening-time-eda", "kernel_id": "80100580"}, {"ref": "kkhandekar/podcast-listening-time-regression-xgb", "kernel_id": "80950606"}, {"ref": "ivanblch/seminar8-25-stacking", "kernel_id": "80730398"}, {"ref": "ivanblch/seminar6-25", "kernel_id": "80241277"}, {"ref": "ivanblch/seminar5-25", "kernel_id": "80050974"}, {"ref": "ivanblch/seminar7-25-blending", "kernel_id": "80600101"}, {"ref": "aasirwaseer/predict-podcast-listening-time-playground-series", "kernel_id": "80329074"}, {"ref": "mehrankazeminia/1-podcast-eda-ydata-profiling", "kernel_id": "80146450"}, {"ref": "yeonseokcho/podcast-listening-time-regression", "kernel_id": "80582941"}, {"ref": "shreydan/listening-time-feature-engg-xgb-baseline", "kernel_id": "80792421"}, {"ref": "greysky/ps-s5e4-lgbm-cv-12-25-lb-12-15", "kernel_id": "80484975"}, {"ref": "aaronisomaisom3/hgbt-eda-fe", "kernel_id": "80865282"}, {"ref": "synchrocyclotron/yggdrasil-decision-forests", "kernel_id": "80335738"}, {"ref": "swas06/podcast-baselinemodel-linearregression", "kernel_id": "80457079"}, {"ref": "goduguanilhimam/podcast-timing-baseline-xgb-lb-13-06", "kernel_id": "80148541"}, {"ref": "soumyadipghorai/predicting-podcast-time-like-a-pro-optuna-shap", "kernel_id": "80513839"}, {"ref": "itskumar/podcast-listening-time-pred", "kernel_id": "80202069"}, {"ref": "tracyporter/play-5-4-xgb-reg", "kernel_id": "80129093"}, {"ref": "moeedejazkhan/pltp-lgbm-catboost", "kernel_id": "80987941"}, {"ref": "digantabhattacharya/podcastlisteningtime-regression-exhaustive-eda", "kernel_id": "80420635"}, {"ref": "taruunnnnn/imputation-rforest-xgboost", "kernel_id": "80985749"}, {"ref": "udaken10/first-look", "kernel_id": "80656038"}, {"ref": "udaken10/second-look", "kernel_id": "80665202"}, {"ref": "thomasmeiner/s5e4-speed-up-your-pandas-with-gpu", "kernel_id": "80206737"}, {"ref": "thomasmeiner/s5e4-did-you-ever-try-mambular", "kernel_id": "80074283"}, {"ref": "thomasmeiner/s5e4-bluecast-2-0-nightly", "kernel_id": "80079278"}, {"ref": "thomasmeiner/s5e4-did-you-ever-try-ydf", "kernel_id": "80009776"}, {"ref": "thomasmeiner/s5e4-histgradientboosting-makes-it-simple", "kernel_id": "80267020"}, {"ref": "mehrotraaditya/podcast-listening-time-stick-to-the-basics", "kernel_id": "80993664"}, {"ref": "dionisiuswidjayanto/predict-podcast-time-and-become-a-data-scientist", "kernel_id": "80752076"}, {"ref": "chinmayadatt/11-76366-ensemble-prediction-of-listening-time", "kernel_id": "80480206"}, {"ref": "chinmayadatt/predict-podcast-listening-time-by-lgbm", "kernel_id": "80641753"}, {"ref": "nickyjliang/predict-podcast-listening-time-nan", "kernel_id": "80747019"}, {"ref": "dodoisdudu/noob-student-s5e4-listening-time-prediciton", "kernel_id": "80315125"}, {"ref": "yusukeogino/predict-podcast-listening-time", "kernel_id": "80962166"}, {"ref": "vladimirmijatovic/podcasts-mamba", "kernel_id": "80386997"}, {"ref": "vladimirmijatovic/podcasts-h2o-with-feature-engineering", "kernel_id": "80478424"}, {"ref": "vladimirmijatovic/autogluon-podcasts", "kernel_id": "80308343"}, {"ref": "tahaalaa/improving-your-model-technique-1", "kernel_id": "80374495"}, {"ref": "tahaalaa/podcast-pred-steps", "kernel_id": "80241899"}, {"ref": "viniciusagsa/tolarian-team-first-competition", "kernel_id": "80389709"}, {"ref": "singhjd/podcast-listening-time-prediction", "kernel_id": "80013017"}, {"ref": "mdismielhossenabir/lightgbm-regression-listening-time-prediction", "kernel_id": "80601184"}, {"ref": "ivanstabile/predict-podcast-listening-time-with-lightgbm", "kernel_id": "80626302"}, {"ref": "karishmabattina/podcastxgboost", "kernel_id": "80925554"}, {"ref": "leonchani/01-only-eda-predict-podcast-listening-time", "kernel_id": "80425855"}, {"ref": "leonchani/11-baseline-predict-podcast-listening-time", "kernel_id": "80435730"}, {"ref": "ragisaikiranreddy/listening-time-prediction-ps5e4-regression", "kernel_id": "80118286"}, {"ref": "ragisaikiranreddy/podcast-listening-time-ps5e4-regression", "kernel_id": "80362344"}, {"ref": "dursundashdamirov/listening-time", "kernel_id": "80998239"}, {"ref": "barbagrande007/bbg007-podcastlisteningtime", "kernel_id": "80963679"}, {"ref": "act18l/check-targetencoder-mse", "kernel_id": "80811529"}, {"ref": "tdoh86/pge5s4-eda", "kernel_id": "80102058"}, {"ref": "ameyadamle/rf-12-71-podcast-listening-time-prediction", "kernel_id": "80527083"}, {"ref": "souravnag07/april-2025-playground", "kernel_id": "80031359"}, {"ref": "muhriddinmalik/listening-time-prediction-notebook", "kernel_id": "80090806"}, {"ref": "klyushnik/listening-time-13-26369", "kernel_id": "80023811"}, {"ref": "klyushnik/fork-of-listening-time-12-70619", "kernel_id": "80739098"}, {"ref": "lordpatil/what-podcast-do-you-listen-to", "kernel_id": "80729986"}, {"ref": "hacker4good/face-expression-classification-using-cnn", "kernel_id": "80846762"}, {"ref": "uuratl/one-does-not-simply-start-a-podcast-xgboost", "kernel_id": "80355979"}, {"ref": "rv1922/podcast-listening-time-model-eda", "kernel_id": "80059744"}, {"ref": "rv1922/podcast-listening-time", "kernel_id": "80016474"}, {"ref": "subhadipde2000/podcast-listening-time-prediction", "kernel_id": "80146544"}, {"ref": "abhishek123maurya/predict-podcast-listening-time", "kernel_id": "80429063"}, {"ref": "giotamoraiti/poadcast-prediction-ranked-31-3310-score-11-66859", "kernel_id": "80365665"}, {"ref": "arpitrawat/xgboost-for-podcast-prediction", "kernel_id": "80105168"}, {"ref": "arpitrawat/lightgbm-and-catboost-for-podcast-prediction", "kernel_id": "80209409"}, {"ref": "ankitaguptaindia/complete-eda-univariate-bivariate-basic-model", "kernel_id": "80451989"}, {"ref": "umangchaudhary7198/notebook06a30281e4", "kernel_id": "80342675"}, {"ref": "abhiii97/podcast-listen-time-prediction", "kernel_id": "80268237"}, {"ref": "srinivasta/predict-podcast-listening-time", "kernel_id": "80527466"}, {"ref": "santyagoamaya/data-analysis-podcasts", "kernel_id": "80049265"}, {"ref": "masayakawamata/single-xgboost-add-selected-features", "kernel_id": "80390693"}, {"ref": "masayakawamata/xgb-forward-feature-selection", "kernel_id": "80826786"}, {"ref": "masayakawamata/single-lgbm-add-selected-features", "kernel_id": "80656466"}, {"ref": "francescoliveras/ps-s5-e4-eda-model-en-es", "kernel_id": "80072026"}, {"ref": "jiaahuja/predict-listening-time", "kernel_id": "80591621"}, {"ref": "ayanabil11/predict-listening-time-xgboost-lightgbm", "kernel_id": "80311224"}, {"ref": "mr0106/playground-series-s5e4", "kernel_id": "80774864"}, {"ref": "dantheshark/playground-series-s5e4-preprocessing", "kernel_id": "80802310"}, {"ref": "harshitaaswani/podcast-listening-time-prediction", "kernel_id": "80197062"}, {"ref": "crisbebop/predict-podcast-listening-time-catboost", "kernel_id": "80995074"}, {"ref": "nandikaagrawal/podcast-listening-time", "kernel_id": "80306617"}, {"ref": "mohamedet/podcast-avg-listening-time", "kernel_id": "80038495"}, {"ref": "johnmelling/podcast-regression", "kernel_id": "80459324"}, {"ref": "otgonbaatar11/predict-podcast-listening-time", "kernel_id": "80716593"}, {"ref": "nyokmawut/predict-podcast-listening-time-model", "kernel_id": "80093731"}, {"ref": "taitruong256/podcast-listening-with-random-forest-no-eda", "kernel_id": "80363420"}, {"ref": "bikramjeetsinghbedi/simplest-way-to-solve-the-problem", "kernel_id": "80355078"}, {"ref": "harshpatel0816/predict-podcast-listening-time", "kernel_id": "80481491"}, {"ref": "ayushchandramaurya/predicting-podcast-listening-time-ensemble", "kernel_id": "80432990"}, {"ref": "sandeepsharma94169/how-long-will-you-listen-podcast-time", "kernel_id": "80480283"}, {"ref": "itasps/ensemble-of-only-three-diverse-models-podcast", "kernel_id": "80840300"}, {"ref": "danechashubham/listening-time", "kernel_id": "80658927"}, {"ref": "galalqassas/predict-podcast-listening-time", "kernel_id": "80099743"}, {"ref": "althariqfairuz/predict-podcast-listening-time-with-deep-learning", "kernel_id": "80226919"}, {"ref": "nikhilbudarayavalasa/notebook1", "kernel_id": "80673716"}, {"ref": "alkidiarete/super-learner-music", "kernel_id": "80753478"}, {"ref": "alkidiarete/h2oautoml-listening-time", "kernel_id": "80752782"}, {"ref": "nicolasorefice/s5-ep4", "kernel_id": "80380637"}, {"ref": "nicolasorefice/s5-ep4-optuna-lasso-mice-rmse-13-34", "kernel_id": "80517372"}, {"ref": "subarnasaikia/podcasting-xgboost", "kernel_id": "80240942"}, {"ref": "richardhhong/linear-regression-baseline", "kernel_id": "80390854"}, {"ref": "kartikgs/predict-podcast-listening-time", "kernel_id": "80987751"}, {"ref": "jmascacibar/single-xgboost-lb12-52-cv12-59", "kernel_id": "80092351"}, {"ref": "fredericnicholson/gen-ai-listen-while-you-work", "kernel_id": "80102910"}, {"ref": "fredericnicholson/listen-while-you-work-autogluon", "kernel_id": "80542826"}, {"ref": "cristobaltudela/predict-podcast-with-random-forest-ps-s5e4", "kernel_id": "80395759"}, {"ref": "cristobaltudela/predicting-podcast-variable-analysis-ps-s5e4", "kernel_id": "80324341"}, {"ref": "abhishekchavan01/lgbmregressor-with-gpu", "kernel_id": "80596240"}, {"ref": "lmanojsai/podcast-popularity-prediction", "kernel_id": "80089044"}, {"ref": "xichan0119/podcast-listening-time-prediction", "kernel_id": "80249670"}, {"ref": "alihashish/podcast-prediction-using-ensemble-models", "kernel_id": "80911567"}, {"ref": "omerabdelmoneim/podcast-listening-time", "kernel_id": "80989824"}, {"ref": "purinutpolasanano/autogluon-for-predict-podcast", "kernel_id": "80305107"}, {"ref": "palakpaneer/baseline-mlp-pytorch", "kernel_id": "80459457"}, {"ref": "palakpaneer/02-add-scaler-categorical", "kernel_id": "80618820"}, {"ref": "palakpaneer/10-deeptable-nn", "kernel_id": "80936854"}, {"ref": "moonfaced/listening-time", "kernel_id": "80239836"}, {"ref": "amri11/predict-podcast-listening-r-xgboost", "kernel_id": "80319368"}, {"ref": "mrigaankjaswal/predict-podcast-v1", "kernel_id": "80101568"}, {"ref": "lucasyukioimafuko/podcast-listening-time-prediction", "kernel_id": "80110271"}, {"ref": "abdelhakkana/eda-stacking", "kernel_id": "80452445"}, {"ref": "sdeogade/podcast-listening-time-prediction", "kernel_id": "80102883"}, {"ref": "namanaarzoo/deep-learning-podcast-listening-time", "kernel_id": "80561602"}, {"ref": "ravaghi/s05e04-podcast-listening-time-ridge", "kernel_id": "80090334"}, {"ref": "ravaghi/s05e04-podcast-listening-time-autogluon", "kernel_id": "80081597"}, {"ref": "nafisadmankhan/podcast-starter-notebook", "kernel_id": "80697709"}, {"ref": "sudhanshu3112/podcast-listening-time-prediction", "kernel_id": "80680174"}, {"ref": "vanyakorol/notebook85c1231989", "kernel_id": "80490904"}, {"ref": "kingkcabir/podcast", "kernel_id": "80002101"}, {"ref": "hemalone/podcast-listening-time-xgboost", "kernel_id": "80781957"}, {"ref": "abdmental01/baseline-podcast-listening-time", "kernel_id": "80244936"}, {"ref": "abdmental01/xgb-podcast-listening-time", "kernel_id": "80453783"}, {"ref": "abdmental01/xgb-cv-12-14-lb-12-13", "kernel_id": "80799954"}, {"ref": "samanyuk/predict-podcast-listening-time-v2-ps-s5e4", "kernel_id": "80333347"}, {"ref": "brownbug/predicting-podcast-listening-time", "kernel_id": "80394075"}, {"ref": "sosou5/note-of-predict-podcast-listening-time", "kernel_id": "80817289"}, {"ref": "mohameddrabo/predict-podcast-listening-time-lgmb", "kernel_id": "80792739"}, {"ref": "tatsun06/my-firstpublic-notebook", "kernel_id": "80700820"}, {"ref": "ycsstang/eda-and-catboost-baseline", "kernel_id": "80761662"}, {"ref": "square1/predict-podcast-listen-public", "kernel_id": "80607390"}, {"ref": "eunicl/listening-time-random-forest-lightgbm-xgb", "kernel_id": "80575963"}, {"ref": "yinbiayasa/rf-12-62056", "kernel_id": "80554680"}, {"ref": "aryamanvaishya/podcast-v1", "kernel_id": "80299947"}, {"ref": "musabs2802/predict-podcast-listening-time", "kernel_id": "80162854"}, {"ref": "jupyter2024/xgboost-predict-12-9949", "kernel_id": "80767111"}, {"ref": "harshgupta4444/podcast-listening-s5e4", "kernel_id": "80394381"}, {"ref": "koushikkumardinda/podcast-listening-time-prediction", "kernel_id": "80692806"}, {"ref": "therishabhmittal05/predict-podcast-listening-time", "kernel_id": "80997262"}, {"ref": "sasinduchanakapiumal/listening-time-eda-one-hot-xgb", "kernel_id": "80480656"}, {"ref": "poojakuniyal/listening-stacking-tree-algo", "kernel_id": "80785190"}, {"ref": "vikaskumarram/playground-series-season-05-episode-04", "kernel_id": "80644445"}, {"ref": "yassineezzaouia/predict-podcast-listening-time", "kernel_id": "80649434"}, {"ref": "diyashreedevadiga/randomforest-podcast-prediction", "kernel_id": "80702882"}, {"ref": "saiganeshvoodi/predicting-podcast-listening-time-using-lr", "kernel_id": "80316051"}, {"ref": "sakshamsainisaini/prediction-of-podcast-listening-time", "kernel_id": "80384474"}, {"ref": "christianbarreto07/lb-12-74927-cv-12-76655-only-13-features-and-xgb", "kernel_id": "80251318"}, {"ref": "danyalabbas1/baseline-model-nn-no-fe-w-imputation", "kernel_id": "80009083"}, {"ref": "godoistvan/providing-insight", "kernel_id": "80006571"}, {"ref": "devaanshpuri/podcast-listening-time-prediction", "kernel_id": "80264468"}, {"ref": "michaelrowen/s5e4-visualization-ensemble-baseline", "kernel_id": "80103282"}, {"ref": "michaelrowen/s5e4-autogluon-example", "kernel_id": "80472948"}, {"ref": "agnibharoy10/podcast-prediction", "kernel_id": "80820688"}, {"ref": "agnibharoy10/podcast-prediction-2", "kernel_id": "80895550"}, {"ref": "takapis/baseline", "kernel_id": "80695197"}, {"ref": "sameepsatija/my-notebook-s234", "kernel_id": "80334560"}, {"ref": "tapasbarman/predict-podcast-listening-time", "kernel_id": "80235871"}, {"ref": "tapasbarman/podcast-listening-time", "kernel_id": "80282044"}, {"ref": "ykawakita/pplt-randomforest", "kernel_id": "80254507"}, {"ref": "mllion/pg-series-podcast-listening-time-prediction", "kernel_id": "80823367"}, {"ref": "hemanuj/predict-podcast-listening-time", "kernel_id": "80920867"}, {"ref": "varunraosfanlkan/stacked-model-for-better-score", "kernel_id": "80862382"}, {"ref": "tatianak1991/eda-listentime", "kernel_id": "80621190"}, {"ref": "jipwulffele/eda-ensemble-pytorch-xgboost-help-wanted", "kernel_id": "80640698"}, {"ref": "surajthakur21/podcast-prediction-xgboost-optuna", "kernel_id": "80097489"}, {"ref": "coolstrok/randomforestregression", "kernel_id": "80424631"}, {"ref": "sidduramagiri/podcast-listening-time", "kernel_id": "80419638"}, {"ref": "hirotakaiwasawa/light-gbm-0414", "kernel_id": "80821561"}, {"ref": "kamil43/podcast-prediction", "kernel_id": "80233576"}, {"ref": "yug201/deep-eda-prediction-workflow", "kernel_id": "80829179"}, {"ref": "yashsahu02/predict-podcast-listening-time-s5e4", "kernel_id": "80131074"}, {"ref": "haninimbarek/eda-to-random-forest-podcast-listening-prediction", "kernel_id": "80239372"}, {"ref": "haninimbarek/eda-to-lgbmregressor-podcast-listening-prediction", "kernel_id": "80270608"}, {"ref": "c9sphere/predict-podcast-listening-time", "kernel_id": "80186000"}, {"ref": "refiaozturk/podcast-listening-time-prediction-xgb-lgbm", "kernel_id": "80850442"}, {"ref": "xinyang11010709/h2o-automl-deep-learning", "kernel_id": "80001962"}, {"ref": "ranajanmej/eda-xgboost", "kernel_id": "80985762"}, {"ref": "amritkoul/podcast-listening-time-prediction-eda-model", "kernel_id": "80697343"}, {"ref": "theonetheonly/catboost2", "kernel_id": "80674133"}, {"ref": "yuriynitys/listening-time-prediction", "kernel_id": "80690209"}, {"ref": "chengxipan/podcast-lightgbm-xgboost", "kernel_id": "80612887"}, {"ref": "chengyannng/lr-ada-xg-rgressor", "kernel_id": "80694598"}, {"ref": "chengyannng/lightgmb-first-try", "kernel_id": "80784211"}, {"ref": "wafaaalayoubi/predict-podcast-listening-time", "kernel_id": "80216796"}, {"ref": "thomaspierantozzi/ps-s5-e4-cv-12-27-lb-12-33-xgboost-single", "kernel_id": "80943109"}, {"ref": "andrewalley/xgb-gradientboostingregressor", "kernel_id": "80540117"}, {"ref": "luukkornegoor/listening-minutes-prediction-rf-xgb-cat-ensemble", "kernel_id": "80218867"}, {"ref": "mahmoudehab6677/podcast-listening-time-prediction", "kernel_id": "80627038"}, {"ref": "parthrait/predict-podcast-listening-time-l1-soln", "kernel_id": "80935570"}, {"ref": "rafaeldrago/perceptron-predict-podcast-listening", "kernel_id": "80740414"}, {"ref": "yassinebenomrane/predicting-posdcast-length-with-lightgbm", "kernel_id": "80366912"}, {"ref": "damiroan/podcast-mlp", "kernel_id": "80443225"}, {"ref": "burhanimtengwa/lpredictions", "kernel_id": "80182354"}, {"ref": "chrissssc/stacking-with-four-tree-models", "kernel_id": "80522637"}, {"ref": "adam1254/simple-eda-with-xgb", "kernel_id": "80779442"}, {"ref": "benjaminhaddad1/podcast-prediction", "kernel_id": "80073142"}, {"ref": "antonioschiro/regressors-benchmark-nn-podcast-listening-time", "kernel_id": "80607265"}, {"ref": "maityritwik/eda-xgboost-on-podcast-listening-time", "kernel_id": "80445026"}, {"ref": "lilyonmyway/predict-podcast-listening-time", "kernel_id": "80548029"}, {"ref": "quezaltendes/baseline-lgbm-with-feature-extraction", "kernel_id": "80876012"}, {"ref": "quezaltendes/optuna-xgb-visualization-features-experimenting", "kernel_id": "80783691"}, {"ref": "vedantsingh5054/podcastnotebook", "kernel_id": "80532527"}, {"ref": "nikhil125/only-linear-regression", "kernel_id": "80636060"}, {"ref": "nikhil125/only-episode-length-linear-reg", "kernel_id": "80697723"}, {"ref": "nikhil125/12-085-linear-reg-lgbm", "kernel_id": "80784402"}, {"ref": "paulinapod/notebook09245707f6", "kernel_id": "80504198"}, {"ref": "aryannimeshkumar/predict-podcast-listening-time", "kernel_id": "80588583"}, {"ref": "eminaanapaydn/podcast-prediction", "kernel_id": "80704673"}, {"ref": "jaysurender/notebookc64ba6efb4", "kernel_id": "80809023"}, {"ref": "khushbukamal02/podcast-listening", "kernel_id": "80612394"}, {"ref": "icomert/podcast-listening-dl-eda-feature-engineering", "kernel_id": "80217102"}, {"ref": "noob786/birdclef-2025-full-pipline-code", "kernel_id": "80321423"}, {"ref": "tuesdaymatched/time-listening-predict-using-xgboost", "kernel_id": "80648048"}, {"ref": "iseedeep/mission-podcast-listening-prediction", "kernel_id": "80229551"}, {"ref": "codexbhawesh/podcast-listening-time", "kernel_id": "80761037"}, {"ref": "adarsh79x/eda-histogram-based-gradient-boosting", "kernel_id": "80978682"}, {"ref": "nguyenpham214/podcast", "kernel_id": "80777933"}, {"ref": "yavuzselimcoban/linear-regression-84", "kernel_id": "80746119"}, {"ref": "shahnawaj9/predict-podcast-listening-time", "kernel_id": "80800967"}, {"ref": "hanu258/ensemble-of-solutions", "kernel_id": "80528221"}, {"ref": "hanu258/predict-podcast-listening-time", "kernel_id": "80528317"}, {"ref": "warikanori/podcast-prediction-1", "kernel_id": "80545527"}, {"ref": "abhinavjain2000/predict-podcast-listening-time-1", "kernel_id": "80355195"}, {"ref": "kenangcmn/podcast-xgboost-and-fe", "kernel_id": "80643399"}, {"ref": "kenangcmn/podcast-catboost-and-fe", "kernel_id": "80655827"}, {"ref": "mehrankhani/podcast-time-beginner-s-exploration-mlp-vs-xgb", "kernel_id": "80088058"}, {"ref": "israfilarnob/podcast-listening-time-pred-rmse-12-61", "kernel_id": "80432774"}, {"ref": "laruna/predict-podcast-listening-time", "kernel_id": "80910977"}, {"ref": "jeonghoonchoi74/listening-prediction", "kernel_id": "80342458"}, {"ref": "gaspardobert/podcast-listening-time-xgb-lgbm", "kernel_id": "80536503"}, {"ref": "gaspardobert/podcast-time-prediction-xgboost-model", "kernel_id": "80161939"}, {"ref": "albanteissier/lightgbm-on-podcast-listening-time-v2", "kernel_id": "80596978"}, {"ref": "albanteissier/lightgbm-on-podcast-listening-time", "kernel_id": "80429957"}, {"ref": "albanteissier/podcast-lightgbm-11-95-v3", "kernel_id": "80667338"}, {"ref": "waelhasan111/predict-listening-time-minutes", "kernel_id": "80970709"}, {"ref": "balvijay/podcast-listening-time-xgboost", "kernel_id": "80833499"}, {"ref": "balvijay/predict-podcast-listening-time", "kernel_id": "80264421"}, {"ref": "gislanydias/gislanydias", "kernel_id": "80530928"}, {"ref": "luisaramirez12/april-playground-test-submission", "kernel_id": "80247141"}, {"ref": "moumita3/notebooka69a14aef4", "kernel_id": "80666039"}, {"ref": "claytonrodrigues1/gt-kagglers-regress-o-podcast", "kernel_id": "80738469"}, {"ref": "kayrahanozcan/ps-s5e4-predict-podcast-listening-time-v2", "kernel_id": "80804087"}, {"ref": "super213/randomforest-r-2-0-78", "kernel_id": "80974125"}, {"ref": "selinspark/predict-podcast-listening-time-v1-0", "kernel_id": "80669668"}, {"ref": "dalloliogm/podcast-simple-xgboost-prediction", "kernel_id": "81042733"}, {"ref": "anujmehra/neural-network-lgbm-sgb-meta-learner-stack", "kernel_id": "81598748"}, {"ref": "jefferythewind/warpgbm-0-1-23-w-eval", "kernel_id": "81924359"}, {"ref": "manojajj/linear-regression-manoj", "kernel_id": "81429871"}, {"ref": "ffaraz/podcast-training-random-forest-base-model", "kernel_id": "81629503"}, {"ref": "markcsizmadia/12-58-cuml-s-targetencoder-as-sklearntransformer", "kernel_id": "81654139"}, {"ref": "markcsizmadia/12-37-podcast-listening-time-feature-eng-xgb", "kernel_id": "81586365"}, {"ref": "enescnkr/noobs-approach-to-regression-and-outliers", "kernel_id": "81372412"}, {"ref": "obiaf88/poscast-listening-time-with-keras", "kernel_id": "81632094"}, {"ref": "rm1023/xgb-optuna", "kernel_id": "81062585"}, {"ref": "jithindbj16/predict-podcast-listening-time", "kernel_id": "81871441"}, {"ref": "igorburkov/notebookbf5ff7548e", "kernel_id": "81219082"}, {"ref": "bijan7/naive-bayes-baseline-model", "kernel_id": "81520255"}, {"ref": "stpeteishii/podcast-listening-time-visualize-importance", "kernel_id": "81060459"}, {"ref": "kush1729/podcast-xgb-regression-gridsearchcv", "kernel_id": "81232597"}, {"ref": "dhrubajyotiguha15/last-one", "kernel_id": "81789869"}, {"ref": "greysky/podcast-model-training", "kernel_id": "81945068"}, {"ref": "greysky/podcast-dataset-generator", "kernel_id": "81965267"}, {"ref": "mboejua/lightgbm-podcast-time-prediction", "kernel_id": "81137137"}, {"ref": "adsamardeep/pl-v2", "kernel_id": "81116822"}, {"ref": "shuntakinami/simple-lgbm-model", "kernel_id": "81308858"}, {"ref": "shuntakinami/tabnet-regressor-modeling-for-baseline", "kernel_id": "81683538"}, {"ref": "swas06/podcast-baselinemodel-linearregression-cv", "kernel_id": "81436377"}, {"ref": "vasusoni/predict-podcast-ensemble", "kernel_id": "81321254"}, {"ref": "udaken10/ps-s5e4-hyperspace-as-feats", "kernel_id": "81055033"}, {"ref": "udaken10/pip-install-qq-scikit-learn-1-6-1", "kernel_id": "81153812"}, {"ref": "masaishi/tabnet-val-12-14158", "kernel_id": "81767502"}, {"ref": "masaishi/public-11-70-private-11-63-single-lgb-fold-5", "kernel_id": "81956862"}, {"ref": "masaishi/select-feature-combinations-by-rmse", "kernel_id": "81486926"}, {"ref": "masaishi/how-to-get-selected-features-for-optimal-te", "kernel_id": "81490595"}, {"ref": "masaishi/decimal-digits-analysis-eda", "kernel_id": "81566052"}, {"ref": "vkrevu/predict-podcast-listening-time-votingregressor", "kernel_id": "81057427"}, {"ref": "jimgruman/tunes", "kernel_id": "81016050"}, {"ref": "ssubbulakshmi/podcast-listening-time", "kernel_id": "81404152"}, {"ref": "casati8/kaggle-s5e4-fastai", "kernel_id": "81217203"}, {"ref": "pawanthapaliya/predict-podcast-listening-time", "kernel_id": "81539077"}, {"ref": "karishmabattina/podcastlgbm", "kernel_id": "81612267"}, {"ref": "karishmabattina/podcastcatboost", "kernel_id": "81269692"}, {"ref": "adithyachalla/eda-ml-model-predict-podcast-time", "kernel_id": "81026088"}, {"ref": "leonchani/22-stacking-predict-podcast-listening-time", "kernel_id": "81233917"}, {"ref": "myhrann/predict-podcast-listening-lgbm", "kernel_id": "81428227"}, {"ref": "act18l/say-goodbye-to-ordinalencoder", "kernel_id": "81016348"}, {"ref": "ankandebnath/predict-podcast-listening-time-2", "kernel_id": "81822977"}, {"ref": "satyaprakashshukl/predict-calorie-expenditure", "kernel_id": "81983513"}, {"ref": "hosseinbehjat/pss5e4-missing-values", "kernel_id": "81027567"}, {"ref": "achirality/notebook28dc7610fb", "kernel_id": "81363867"}, {"ref": "esraaalsaeede/predict-podcast-listening-tim", "kernel_id": "81950208"}, {"ref": "dranilkumardubey/hybrid-regression", "kernel_id": "81509285"}, {"ref": "naimishbhoi/gridsearchcv-with-rf-regressor-and-visualization", "kernel_id": "81821542"}, {"ref": "ale11hernandez/ps-s5e4-listening-timev1-1", "kernel_id": "81138776"}, {"ref": "uselessnoob/predict-podcast-listening-time-souptik", "kernel_id": "81407470"}, {"ref": "julianowakowska/podcast-listening-time-prediction", "kernel_id": "81156377"}, {"ref": "pranshubahadur/warpgbm-benchmarking-v0-1-18", "kernel_id": "81096734"}, {"ref": "okanzkaya/data-analysis-and-some-insights", "kernel_id": "81839380"}, {"ref": "okanzkaya/lightgbm-optuna-implementation", "kernel_id": "81905927"}, {"ref": "danishjmeo/pre-processed-notebook", "kernel_id": "81824238"}, {"ref": "rlakshminarayanan/13-10-voting-stacking-base-models", "kernel_id": "81145135"}, {"ref": "procoding2022/predict-podcast-listening-time-v3", "kernel_id": "81581683"}, {"ref": "procoding2022/predict-podcast-listening-time-v2", "kernel_id": "81493025"}, {"ref": "procoding2022/predict-podcast-listening-time", "kernel_id": "81485103"}, {"ref": "ready2start/ready2start-predict-podcast-listening-time", "kernel_id": "81417910"}, {"ref": "pattae/podcast-listening-time-v2", "kernel_id": "81929376"}, {"ref": "prakash888kp/podcast-time-optuna-tuned-stacking-ensemble", "kernel_id": "81317472"}, {"ref": "prakash888kp/xgboost-feature-engineering-eda", "kernel_id": "81720426"}, {"ref": "prakash888kp/ctb-xgb-lgbm-random-forest-rf", "kernel_id": "81577276"}, {"ref": "gurramgopichandh/listening-time", "kernel_id": "81060590"}, {"ref": "santyagoamaya/lgb-xgb-predictors", "kernel_id": "81716882"}, {"ref": "santyagoamaya/podcast-predict-time", "kernel_id": "81474004"}, {"ref": "masayakawamata/xgboost-add-random-features", "kernel_id": "81883686"}, {"ref": "masayakawamata/30xgboost-autogluon", "kernel_id": "81886085"}, {"ref": "masayakawamata/imputation-strategies", "kernel_id": "81086668"}, {"ref": "masayakawamata/lgbm-forward-feature-selection", "kernel_id": "81221987"}, {"ref": "sharmajicoder/xgboost-predict-podcast-listening-time", "kernel_id": "81379005"}, {"ref": "ayushghawana/predicting-using-voting-regressor", "kernel_id": "81647437"}, {"ref": "mr0106/predix", "kernel_id": "81946590"}, {"ref": "mr0106/podcastx", "kernel_id": "81948450"}, {"ref": "mohamed0hassan/podcast-time-prediction", "kernel_id": "81906343"}, {"ref": "dantheshark/playground-series-s5e4-model", "kernel_id": "81198414"}, {"ref": "yusufkr/podcastprediction", "kernel_id": "81043810"}, {"ref": "chrisk321/s5e5-r-eda-solo-cb-submission-lb-0-05710", "kernel_id": "81993858"}, {"ref": "rahulladhani/predicting-podcast-engagement-with-deep-learning", "kernel_id": "81314647"}, {"ref": "sobiahashmi/predict-podcast-listening-time", "kernel_id": "81084422"}, {"ref": "dnzyzgtl/predict-podcast-listening-time", "kernel_id": "81253340"}, {"ref": "nyokmawut/predict-podcast", "kernel_id": "81440269"}, {"ref": "manubindra/predicting-listening-sessions", "kernel_id": "81704850"}, {"ref": "akashrane2609/ppnb1", "kernel_id": "81607082"}, {"ref": "juleskantzer/the-voice-of-time-predicting-podcast-listening", "kernel_id": "81852896"}, {"ref": "duanzhilong/xgboost", "kernel_id": "81686188"}, {"ref": "diegoamd/listening-time-prediction-xgboost-lightgbm", "kernel_id": "81678465"}, {"ref": "itasps/xgboost-for-predicting-podcast-listening-time", "kernel_id": "81742819"}, {"ref": "alkidiarete/xgb-listening", "kernel_id": "81336487"}, {"ref": "deniz2121/rmse-12", "kernel_id": "81797182"}, {"ref": "sturarods/yeo-johnson-to-normalize-target-and-xgb-predict", "kernel_id": "81319917"}, {"ref": "offcialdeepak/predict-podcast-listening-time", "kernel_id": "81921251"}, {"ref": "fiftythirtyfour/predict-podcast-listening-time", "kernel_id": "81480747"}, {"ref": "hopeofchange/podcast-on-catboost", "kernel_id": "81632799"}, {"ref": "saniya2001/pods-plots-predictions-eda-lgbm-gridsearchcv", "kernel_id": "81822406"}, {"ref": "sidimohamed3/predict-podcast-listening-time-catboost", "kernel_id": "81915351"}, {"ref": "shivansh2503/data-scientist-approach-to-this-real-world-data", "kernel_id": "81156716"}, {"ref": "kali79/fork-of-podcast-prediction-1-ea74e5-22ceb3", "kernel_id": "81937519"}, {"ref": "chiranjeevimchiru/podcast-listening-time-lgbmr", "kernel_id": "81882806"}, {"ref": "chiranjeevimchiru/predicting-listening-time-eda", "kernel_id": "81037017"}, {"ref": "mazerunner12321/prediction-with-catboost-feature-engineering", "kernel_id": "81772619"}, {"ref": "mazerunner12321/exploring-the-patterns-eda", "kernel_id": "81568393"}, {"ref": "malakismail/predict-podcast-listening-time", "kernel_id": "81371692"}, {"ref": "nikita7364777/5-04-targetencoding-cuml-lb-12-17", "kernel_id": "81368075"}, {"ref": "nikita7364777/5-04-lb-12-91-xgb-lgbm-statanalysis", "kernel_id": "81293659"}, {"ref": "teshavsharma/predict-podcast-listening-time-using-xgboost", "kernel_id": "81720821"}, {"ref": "phamletunhi/eda-for-fun-cuz-i-m-feeling-stress", "kernel_id": "81057204"}, {"ref": "phamletunhi/submission-data-experimentations", "kernel_id": "81079164"}, {"ref": "sarthak7005/podcast-listening-time-prediction", "kernel_id": "81410793"}, {"ref": "engineerfrabbi/predict-podcast-listening-time", "kernel_id": "81677784"}, {"ref": "devnandan4/listeningtimeprediction-using-ann", "kernel_id": "81742229"}, {"ref": "younusmohamed/55-01-feature-engineering-based-on-complete-eda", "kernel_id": "81466295"}, {"ref": "yousefelshahat2/data-cleaning-and-default-rf-model", "kernel_id": "81323203"}, {"ref": "mohammad123wick/podcast-prediction", "kernel_id": "81059121"}, {"ref": "denvermagtibay/predict-podcast-listening-time", "kernel_id": "81353700"}, {"ref": "denvermagtibay/podcast-listening-time-prediction", "kernel_id": "81566504"}, {"ref": "denvermagtibay/predict-podcast-listening-time-zoo-pipeline", "kernel_id": "81705707"}, {"ref": "vijaykarthick23/notebookfcc2a77beb", "kernel_id": "81375247"}, {"ref": "marwanragab1212/podcast-listening-time-prediction", "kernel_id": "81465631"}, {"ref": "serhiikharchuk/sklearntryxgb", "kernel_id": "81560341"}, {"ref": "serhiikharchuk/sklearntryadvanced", "kernel_id": "81494342"}, {"ref": "rkmaurya93/podcast-listening", "kernel_id": "81247462"}, {"ref": "somendrew/s5ep4-predict-podcast-time", "kernel_id": "81948345"}, {"ref": "yiluosjtut/listening-time-of-podcast-episodes", "kernel_id": "81731063"}, {"ref": "grishrana/plt-comparision-of-different-models", "kernel_id": "81629125"}, {"ref": "abdmental01/lgbm-cv-12-18-lb-12-17", "kernel_id": "81474851"}, {"ref": "rajputpritesh31/predict-podcast-listening-time", "kernel_id": "81035169"}, {"ref": "therohithanand/xgboost-optuna", "kernel_id": "81157259"}, {"ref": "shohan06/podcast-lightgbm", "kernel_id": "81532467"}, {"ref": "shohan06/podcast-ensemble-learning", "kernel_id": "81260178"}, {"ref": "srzh04d/notebook28a5176091", "kernel_id": "81175147"}, {"ref": "michael1o2/podcast-prediction", "kernel_id": "81899129"}, {"ref": "muhumuzadeusai/podcast-listening-time", "kernel_id": "81259825"}, {"ref": "sagnikchunder/podcast-time-prediction-by-random-forest-model", "kernel_id": "81678459"}, {"ref": "adyiemaz/simple-data-cleaning-and-regression", "kernel_id": "81720859"}, {"ref": "noeldin25/predict-podcast-listening-time-xgb", "kernel_id": "81435072"}, {"ref": "ismailaliahmed/lightgbm-optuna-predict-podcast", "kernel_id": "81436072"}, {"ref": "aaronalbrecht/to-predict-podcast-listening-time", "kernel_id": "81086729"}, {"ref": "pirhosseinlou/xgboost-single-model", "kernel_id": "81730422"}, {"ref": "satyajeetrai/ps5e4-analysis-and-modelbuilding", "kernel_id": "81003481"}, {"ref": "hakankocakk/predict-podcast-listening-time-fe-xgboost", "kernel_id": "81374292"}, {"ref": "hakankocakk/fe-xgboost-podcast-listening-time-prs-11-84", "kernel_id": "81709157"}, {"ref": "hakankocakk/fe-lightgbm-podcast-listening-time-prs-11-82", "kernel_id": "81508341"}, {"ref": "aswinmuthukumar/podcast-listening-time-prediction-rf-model", "kernel_id": "81358812"}, {"ref": "palvinder2006/podcast-listening-prediction", "kernel_id": "81084740"}, {"ref": "vishalpatwa/predict-podcast-listening", "kernel_id": "81777912"}, {"ref": "andrewbnord/predict-podcast-listening-time", "kernel_id": "81045803"}, {"ref": "aryamanvaishya/feature-rfr", "kernel_id": "81561568"}, {"ref": "ankush0511/predict-podcast-listening-time", "kernel_id": "81560591"}, {"ref": "sarradali/tab-s5e4-hexagone", "kernel_id": "81577702"}, {"ref": "shivamarora384/predict-podcast-notebook", "kernel_id": "81826983"}, {"ref": "shivamarora384/podcast-2", "kernel_id": "81686015"}, {"ref": "hisatosenda/podcast-predict-score-12-81909", "kernel_id": "81908567"}, {"ref": "nidhi3624/s5p4-cleaned-eda-ensemble-cv", "kernel_id": "81378617"}, {"ref": "nidhi3624/s5p4-cleaned-eda-ensemble", "kernel_id": "81170246"}, {"ref": "mohamedmostafa259/ridge-using-original-artificial-datasets", "kernel_id": "81655298"}, {"ref": "mohamedmostafa259/tabnet-with-nanimputer", "kernel_id": "81650289"}, {"ref": "mohamedmostafa259/lgbmregressor-with-nanimputer", "kernel_id": "81253587"}, {"ref": "ishachouhan1/podcast-listining-time-using-l1-regressor", "kernel_id": "81033270"}, {"ref": "shimanshusingh/predict-podcast-listening-tim", "kernel_id": "81037302"}, {"ref": "SrijanSiddharth/predict-podcast-listening-time-eda", "kernel_id": "81908429"}, {"ref": "SrijanSiddharth/predict-podcast-listening-time-lightgbm-baseline", "kernel_id": "81866370"}, {"ref": "tiheli/predict-podcast-listenin-time", "kernel_id": "81347178"}, {"ref": "aliffaagnur/eda-statistics-pca-t-sne-modelling", "kernel_id": "81495892"}, {"ref": "behnazj/catboost-baseline-v1", "kernel_id": "81147092"}, {"ref": "tatianak1991/plistentime-elasticnet-xgbregr-nn", "kernel_id": "81380029"}, {"ref": "feeldidaxie/the-voice-of-time-predicting-podcast-listening", "kernel_id": "81850553"}, {"ref": "nandinithimmireddyg/predicting-listening-time-with-lightgbm", "kernel_id": "81795312"}, {"ref": "asadaliarshad/listening-time", "kernel_id": "81167584"}, {"ref": "bhaskarmishra44796/predict-podcast-listening-eda-ml", "kernel_id": "81148963"}, {"ref": "yug201/votting-regressor-ensemble-learning", "kernel_id": "81643727"}, {"ref": "hyckaggler/xgboost", "kernel_id": "81944198"}, {"ref": "hyckaggler/eda-podcast-listening-time", "kernel_id": "81944815"}, {"ref": "llkh0a/lgbmregressor-xgboost-optuna-study", "kernel_id": "81412164"}, {"ref": "paperxd/best-kfold", "kernel_id": "81784645"}, {"ref": "paperxd/s5e4-single-xgboost-model-cv-11-94-lb-11-93", "kernel_id": "81405965"}, {"ref": "paperxd/s5e4-single-lightgbm-cv-12-07-lb-12-05", "kernel_id": "81405517"}, {"ref": "umaima2005/podcast-listening-time", "kernel_id": "81154702"}, {"ref": "ranajanmej/target-encoding-one-hot-encoding", "kernel_id": "81212322"}, {"ref": "ranajanmej/eda-deduplication", "kernel_id": "81111652"}, {"ref": "nikitamanaenkov/podcast-listening-time-xgboost-lr-earlystop", "kernel_id": "81765995"}, {"ref": "nieniejava/11-83-predicting-podcast-listening-time-4-23", "kernel_id": "81343032"}, {"ref": "lianalotarets/predict-podcast-listening-time", "kernel_id": "81528700"}, {"ref": "tshinya1120/predict-podcast-listening-time-v1", "kernel_id": "81517103"}, {"ref": "koustavdas99/predict-podcast-listening-time", "kernel_id": "81541600"}, {"ref": "parthrait/podcast-listening-v8", "kernel_id": "81916664"}, {"ref": "parthrait/podcast-listening-v11", "kernel_id": "81932553"}, {"ref": "honwang/user-friendly-predict-listening-time-with-xgboost", "kernel_id": "81344095"}, {"ref": "honwang/plain-autogluon-for-prediction", "kernel_id": "81405768"}, {"ref": "honwang/autogluon-prediction-for-podcast-time-with-compare", "kernel_id": "81396981"}, {"ref": "achaldeep/rfregressor-iterative-residual-learning", "kernel_id": "81340196"}, {"ref": "sohilaelmassry/eda-randomforest-baseline", "kernel_id": "81381250"}, {"ref": "mahoganybuttstrings/notebooke3a382d914", "kernel_id": "81037339"}, {"ref": "sohilaayman/podcast-listening-time", "kernel_id": "81320764"}, {"ref": "azrilfahmiardi/podcast-xgboost", "kernel_id": "81215278"}, {"ref": "rstev0/predict-podcast-listening-time-lgbm", "kernel_id": "81513493"}, {"ref": "dmitrysavkov/handling-missingness-podcast-listening", "kernel_id": "81146181"}, {"ref": "sjain600/xgb-model-oof-predictions", "kernel_id": "81624146"}, {"ref": "todulguiraud/tab-s5e4-hexagone", "kernel_id": "81577742"}, {"ref": "antonioschiro/how-to-rmse-13-tuned-xgbregressor-e2e-pipeline", "kernel_id": "81366274"}, {"ref": "antonioschiro/hyperparamstuning-boost-targetencoder", "kernel_id": "81060237"}, {"ref": "antonioschiro/custom-ensembling-with-nn-as-meta-model", "kernel_id": "81668194"}, {"ref": "akoworosigns/predict-listening-time-of-a-podcast-episode", "kernel_id": "81764212"}, {"ref": "quezaltendes/s5p4-podcast-listening-optuna-eda", "kernel_id": "81251664"}, {"ref": "smak17/podcast-listening-time", "kernel_id": "81787972"}, {"ref": "minhuadeng/notebookdcafde1385", "kernel_id": "81097456"}, {"ref": "minhuadeng/notebook5ba5a6d34a", "kernel_id": "81654773"}, {"ref": "sangampaudel530/predict-podcast-optimized-ensemble", "kernel_id": "81646081"}, {"ref": "sangampaudel530/podcast-listening-time-prediction", "kernel_id": "81554790"}, {"ref": "sangampaudel530/predict-podcast-listening-time-eda-ml", "kernel_id": "81788781"}, {"ref": "yujung1125/predict-podcast-listening-time-using-stacking", "kernel_id": "81938826"}, {"ref": "godfather123456/notebook-xgboost-1", "kernel_id": "81438215"}, {"ref": "godfather123456/light-gbm", "kernel_id": "81635932"}, {"ref": "gaurijagdale11/podcast-listening-time-prediction", "kernel_id": "81536237"}, {"ref": "muhammadadil20/pplt-xgb-with-feature-engineering-on-full-data", "kernel_id": "81790660"}, {"ref": "canozensoy/ps-s5e4-predict-podcast-listening-time", "kernel_id": "81279163"}, {"ref": "canozensoy/ps-s5e4-optimized-xgboost-pipeline-for-podcast", "kernel_id": "81368345"}, {"ref": "canozensoy/ps-s5e4-xgboost-with-optuna-for-podcast", "kernel_id": "81359528"}, {"ref": "canozensoy/ps-s5e4-enhanced-feature-rich-xgboost-model", "kernel_id": "81424763"}, {"ref": "canozensoy/ps-s5e4-refined-xgboost-pipeline-for-podcast", "kernel_id": "81571332"}, {"ref": "canozensoy/ps-s5e4-te-and-xgboost-lightgbm-blending", "kernel_id": "81586515"}, {"ref": "canozensoy/ps-s5e4-enhanced-catboost-model-for-podcast", "kernel_id": "81492322"}, {"ref": "canozensoy/ps-s5e4-xgb-lgbm-catboost-with-ridge-meta-learner", "kernel_id": "81519599"}, {"ref": "canozensoy/ps-s5e4-powerful-tabular-pipeline-for-podcast", "kernel_id": "81835331"}, {"ref": "canozensoy/ps-s5e4-robust-ensemble-learning-for-podcast", "kernel_id": "81748035"}, {"ref": "canozensoy/ps-s5e4-xgboost-optuna-te-boost-for-podcast", "kernel_id": "81922828"}, {"ref": "tasukukurasawa/predict-podcast-listening-taskmemo", "kernel_id": "81889195"}, {"ref": "skaricheti/thinking-approach-beginner-friendly", "kernel_id": "81490849"}, {"ref": "priyankamahto/podcastnotebook", "kernel_id": "81695493"}, {"ref": "niti9693/predicat-podcast", "kernel_id": "81814971"}, {"ref": "harshkuma12405466r/podcast", "kernel_id": "81625672"}, {"ref": "coderkr/predict-podcast-13-2", "kernel_id": "81642319"}, {"ref": "coderkr/predict-podcast-13-1", "kernel_id": "81694833"}, {"ref": "coderkr/predict-podcast-listening-time-comp", "kernel_id": "81072114"}, {"ref": "coderkr/face-detection-and-processing", "kernel_id": "81073283"}, {"ref": "abduraaahim/podcast-listening-time", "kernel_id": "81259470"}, {"ref": "hanu258/update-predict-podcast-listening-time", "kernel_id": "81003672"}, {"ref": "vojtechnaar/podcastlisteningtimemodel", "kernel_id": "81918617"}, {"ref": "kenangcmn/podcast-ensemble", "kernel_id": "81489848"}, {"ref": "kenangcmn/podcast-randomforest", "kernel_id": "81490926"}, {"ref": "kenangcmn/podcast-lightgbm-with-pipeline", "kernel_id": "81514925"}, {"ref": "kenangcmn/podcast-randomforest-with-pipeline", "kernel_id": "81506409"}, {"ref": "hassanrazakhattak/fork-of-predict-podcast-listening-time", "kernel_id": "81762141"}, {"ref": "hassanrazakhattak/predict-podcast-listening-time", "kernel_id": "81707987"}, {"ref": "laruna/podcast-listening-time-prediction", "kernel_id": "81039910"}, {"ref": "mohamed1896/55-01-feature-engineering-based-on-complete-eda", "kernel_id": "81695114"}, {"ref": "mohamed1896/predict-podcast-listening-eda-ml", "kernel_id": "81695214"}, {"ref": "cyruscsc/podcast-tree-ensembles", "kernel_id": "81679205"}, {"ref": "kifayatullahe/predict-podcast-listening-time-ml", "kernel_id": "81358866"}, {"ref": "ikaganacar/optuna-xgb-ikaganacar-podcast", "kernel_id": "81032284"}, {"ref": "venkataadityap/podcast-listening-time-practice", "kernel_id": "81918021"}, {"ref": "matheuscarne/podcastxgb", "kernel_id": "81804030"}, {"ref": "edoardap/predict-podcast-listening-time-eduarda", "kernel_id": "81800060"}, {"ref": "arlansantos13/predict-podcast-listening-time-arlan", "kernel_id": "81863842"}, {"ref": "ghowe2ai/gh-predict-podcast-listening-time", "kernel_id": "81525872"}, {"ref": "zczhao2025/predict-podcast-listening-time", "kernel_id": "81350481"}, {"ref": "syedfarazhussaini/playground-series-s5e4", "kernel_id": "81880476"}, {"ref": "kayrahanozcan/predict-podcast-listening-time-ensemble-t-rk-e", "kernel_id": "81259233"}, {"ref": "emircansoftware/podcast-listening-time", "kernel_id": "81286777"}, {"ref": "emircansoftware/randomforestregressor-plt", "kernel_id": "81374636"}, {"ref": "peternguyen114/submission-6", "kernel_id": "81203153"}, {"ref": "mariejoesakr/notebookcdef30c14d", "kernel_id": "81906567"}, {"ref": "celinags/listeningpostcast", "kernel_id": "81316872"}, {"ref": "iremkabil/predict-podcast-listening-eda-ml", "kernel_id": "81713672"}, {"ref": "isaacmenard/predict-podcast-listening-using-xgb-beginner", "kernel_id": "81322856"}, {"ref": "lakshyachauhan1/podcasts", "kernel_id": "81239917"}, {"ref": "lakshyachauhan1/podcast-data-guesser", "kernel_id": "81400004"}, {"ref": "biddytarot11/pss5e4-best-quality-gpu-final", "kernel_id": "81323166"}, {"ref": "biddytarot11/predict-podcast-listening-time-catboost", "kernel_id": "81323883"}, {"ref": "vampiredatanerd/podcast-catboost", "kernel_id": "81396915"}, {"ref": "vampiredatanerd/time-listening-predict-using-xgboost", "kernel_id": "81396874"}, {"ref": "chirags1725/podcast-eda", "kernel_id": "81415680"}, {"ref": "mridulmahajan4/predict-podcast", "kernel_id": "81775051"}, {"ref": "dataneed99/feature-rfr", "kernel_id": "81804301"}, {"ref": "dataneed99/predict-podcast-listening-time-eda-ml", "kernel_id": "81803995"}, {"ref": "dataneed99/playgrounds5e4-baseline-v2", "kernel_id": "81803657"}, {"ref": "stpeteishii/podcast-keras-mlp-regressor", "kernel_id": "82682281"}, {"ref": "stpeteishii/calorie-models-stacking-w-processed-data", "kernel_id": "82167764"}, {"ref": "pkmisra/predict-podcast-listening-timing", "kernel_id": "82977318"}, {"ref": "faniakritidoy/podcast-listening-time-predict-final", "kernel_id": "82036031"}, {"ref": "leonchani/01-only-eda-calorie-expenditure", "kernel_id": "82203903"}, {"ref": "leosama/predict-podcast-time-lightgbm", "kernel_id": "82935840"}, {"ref": "elzorrooo/complete-submission", "kernel_id": "82797868"}, {"ref": "abdmental01/baseline-predict-calorie-expenditure", "kernel_id": "82287965"}, {"ref": "arafat1746/predict-podcast-listening-time-1", "kernel_id": "82986984"}, {"ref": "quangjames/xgboot-predict-podcast-listening-time", "kernel_id": "82787079"}, {"ref": "mariamatefrefaat/random-forest", "kernel_id": "82376196"}, {"ref": "dhritimanchakrabarty/podcast-playground", "kernel_id": "82893454"}, {"ref": "pooja987/rf-gbm-starter", "kernel_id": "83633615"}, {"ref": "ezzaddeenmofarreh/predict-listening-time-minutes", "kernel_id": "83316298"}, {"ref": "prabhudharshantony/podcast-prediction-randomforest", "kernel_id": "83737990"}, {"ref": "abishekhkumar/predict-podcast-listening-time", "kernel_id": "83597680"}, {"ref": "hridoyyahmed/deepnn", "kernel_id": "83325316"}, {"ref": "benkarpol/random-forest-regression-with-preprocessing", "kernel_id": "83209782"}, {"ref": "alexanderfrolovit/podcast-model-training-spbu", "kernel_id": "83875951"}, {"ref": "kuzudewaifudes/ensambles-of-kursach", "kernel_id": "84019942"}, {"ref": "rohan843/podcast-time-prediction", "kernel_id": "84055588"}, {"ref": "yahabibitoday/notebook1c949211a5", "kernel_id": "84050206"}, {"ref": "srmty09/notebook2cb284a6d4", "kernel_id": "84678747"}, {"ref": "alekseizaitseva/s5e4-xgb-optuna", "kernel_id": "85694590"}, {"ref": "daniyalbissenov/predict-podcast-listening-time", "kernel_id": "85504137"}, {"ref": "iitm21f1005327/week-5-regression-demo-2", "kernel_id": "86350544"}, {"ref": "iitm21f1005327/week-5-regression-demo", "kernel_id": "86137080"}, {"ref": "vedanshtyagi2451/predicting-podcast-listening-time", "kernel_id": "86626258"}, {"ref": "ahmed12998/catboostregressor", "kernel_id": "86886947"}, {"ref": "sahilislam007/podcast-listening-time-ml-prediction", "kernel_id": "86852101"}, {"ref": "sahilislam007/podcast-listening-time-prediction", "kernel_id": "86782873"}, {"ref": "micky486/podcast-listening-time-ml-prediction", "kernel_id": "86862193"}, {"ref": "yashpalthakor/playgroundpodregressor-pytorch", "kernel_id": "87936460"}, {"ref": "gauripatil2299/predict-podcast-listening-time", "kernel_id": "87552852"}, {"ref": "mdferozahmedafm/broadcast-listening-time-regression-with-xgboost", "kernel_id": "87637043"}, {"ref": "bahmutsky/notebook4026c6b3a3", "kernel_id": "87015214"}, {"ref": "apoorvbhandari10/xgboost", "kernel_id": "88235142"}, {"ref": "kratipandya/podcast-listening-time", "kernel_id": "89294416"}, {"ref": "divyansh0508/predicting-podcast-listening-time", "kernel_id": "90800966"}, {"ref": "nina2025/ps-s5e4-h-blend-fe-private-11-49-public-11-56", "kernel_id": "95577388"}, {"ref": "sohrabazizsoltani/project", "kernel_id": "103695934"}, {"ref": "handeharmankaya/podcast-listening-time-prediction", "kernel_id": "103304633"}, {"ref": "adiratnam/jan25", "kernel_id": "107824438"}, {"ref": "leyuzakoksoken/podcast-listening-time-prediction", "kernel_id": "108259224"}, {"ref": "sevvalclalcebeciolu/podcast-listening-time-prediction", "kernel_id": "109256348"}, {"ref": "nihalba/podcastlisteningtimeprediction", "kernel_id": "113694117"}, {"ref": "evgendvorkin/xgb-lb-privat-12-70152", "kernel_id": "114472515"}, {"ref": "tugcebasyigit/predict-podcast-listening-time", "kernel_id": "116227829"}, {"ref": "basaktamer/predict-podcast-listening-time", "kernel_id": "117609951"}, {"ref": "mhskaya/podcast-listening-time-prediction", "kernel_id": "122781651"}, {"ref": "bobbybrandy/notebooke1b45221f3", "kernel_id": "127257291"}, {"ref": "zqx960151285/predict-podcast-listening-time", "kernel_id": "129501394"}]}
{"competition_id": "91716", "kernels": [{"ref": "satyaprakashshukl/predict-podcast-listening-time", "kernel_id": "79922517"}, {"ref": "introverstein/s5e4-data-processing-modeling-submission", "kernel_id": "79909324"}, {"ref": "japerboy/ai-analysis", "kernel_id": "79882891"}, {"ref": "rockiecao/pss5e4-calorieprediction-eda-regression", "kernel_id": "81983087"}, {"ref": "debisree/predict-calorie-expenditure", "kernel_id": "81989234"}, {"ref": "lucabasa/s05e05-calories-eda-feature-eng-models", "kernel_id": "81962671"}, {"ref": "sreedevsb/calorie-expenditure-eda", "kernel_id": "81966092"}, {"ref": "docxian/ps-s5-e05-counting-calories", "kernel_id": "81966027"}, {"ref": "lucasboesen/s5e5-new-features-baseline-xgb-cat-lgbm", "kernel_id": "81968290"}, {"ref": "subhasism15/day-1-understanding-the-feature-basic-model", "kernel_id": "81988741"}, {"ref": "ganeshstemx/ps-s5e5-predict-calorie-expenditure", "kernel_id": "81960442"}, {"ref": "swas06/predictcalorie-eda", "kernel_id": "81984879"}, {"ref": "itskumar/calories-prediction", "kernel_id": "81959922"}, {"ref": "tracyporter/play-5-5-poisson", "kernel_id": "81986704"}, {"ref": "tracyporter/play-5-5-gamma", "kernel_id": "81992596"}, {"ref": "thomasmeiner/s5e5-bluecast-2-0-nightly", "kernel_id": "81982472"}, {"ref": "thomasmeiner/s5e5-ydf-baseline", "kernel_id": "81996703"}, {"ref": "mehrotraaditya/calorie-expenditure-usign-ann-0-05911", "kernel_id": "81966010"}, {"ref": "ozguraslank/s5e5-kick-start-with-flexml", "kernel_id": "81974450"}, {"ref": "vinu0526/calorie-exp-eda-lgbm", "kernel_id": "81987361"}, {"ref": "vladimirmijatovic/calories-baseline-h2o", "kernel_id": "81964287"}, {"ref": "vladimirmijatovic/calories-eda-to-kickstart-the-analysis", "kernel_id": "81967670"}, {"ref": "iamtapendu/calories-burnt-prediction", "kernel_id": "81960733"}, {"ref": "rishabhbhartiya/predict-calorie-expenditure", "kernel_id": "81991289"}, {"ref": "saeboe99/calories-burned-prediction-xgboost-baseline", "kernel_id": "81994508"}, {"ref": "satyaprakashshukl/predict-calorie-expenditure", "kernel_id": "81983513"}, {"ref": "satyaprakashshukl/neural-network-calorie-expenditure", "kernel_id": "81982984"}, {"ref": "ravi20076/playgrounds5e5-public-imports-v1", "kernel_id": "81964159"}, {"ref": "ravi20076/playgrounds5e5-baseline-v1", "kernel_id": "81964994"}, {"ref": "andreal314159/calories-eda", "kernel_id": "81970178"}, {"ref": "omidbaghchehsaraei/ridge-ensemble-for-calorie-expenditure-prediction", "kernel_id": "81983828"}, {"ref": "rv1922/burn-it-to-earn-it-eda-ml-models", "kernel_id": "81962221"}, {"ref": "arpitrawat/xgb-for-calories", "kernel_id": "81965373"}, {"ref": "kapturovalexander/reg-ps-s5-e5-predict-calorie-expenditure", "kernel_id": "81963658"}, {"ref": "gkanamoto/s5e5-xgb", "kernel_id": "81967075"}, {"ref": "masayakawamata/s5e5-te-xgb-baseline", "kernel_id": "81962873"}, {"ref": "vijay20213/predicting-calorie-eda-to-submission", "kernel_id": "81982860"}, {"ref": "michalinahulak/calorie-expenditure-female-vs-male-59th", "kernel_id": "81981085"}, {"ref": "vinitpitrubhakta/essential-eda-all-you-need-to-know", "kernel_id": "81996438"}, {"ref": "lekhatopil/calories-burned-stacked-xgboost-catboost", "kernel_id": "81959829"}, {"ref": "harshitaaswani/calorie-expenditure-prediction", "kernel_id": "81990198"}, {"ref": "chrisk321/s5e5-r-eda-solo-cb-submission-lb-0-05710", "kernel_id": "81993858"}, {"ref": "syednazmussakib/ps5-e5-random-forest-optuna", "kernel_id": "81964148"}, {"ref": "syednazmussakib/data-insight", "kernel_id": "81959565"}, {"ref": "vishnupriyagarige/calorie-expenditure-prediction", "kernel_id": "81985872"}, {"ref": "eprossinger/ps-s5e5", "kernel_id": "81995951"}, {"ref": "aeronutist/end-to-end-calorie-prediction-model-data-science", "kernel_id": "81982394"}, {"ref": "ruifspinto/s5e5-eda-fe-viz-tuning-fun", "kernel_id": "81985542"}, {"ref": "snehalkhandewale/calorie-burn-eda-base-models", "kernel_id": "81969526"}, {"ref": "ryo0905/starter-random-forest-model-for-begginer", "kernel_id": "81988458"}, {"ref": "richardhhong/calories-eda", "kernel_id": "81987337"}, {"ref": "amri11/predict-calorie-expenditure-r-keras", "kernel_id": "81959756"}, {"ref": "introverstein/s5e5-data-processing-modeling-submission", "kernel_id": "81966480"}, {"ref": "introverstein/s5e5-adversarial-validation", "kernel_id": "81959912"}, {"ref": "abdelhakkana/calories-prediction", "kernel_id": "81992815"}, {"ref": "mikhailnaumov/calorie-expenditure-cat-xgb-lgbm-ydf-hgb", "kernel_id": "81999919"}, {"ref": "ravaghi/s05e05-calorie-expenditure-prediction-ridge", "kernel_id": "81962278"}, {"ref": "sudhanshu3112/predicting-calories-catboost-xgboost-0-597", "kernel_id": "81964597"}, {"ref": "marwanragab1212/predict-calorie-expenditure-eda-ml", "kernel_id": "81986018"}, {"ref": "rkmaurya93/calories-pred", "kernel_id": "81964125"}, {"ref": "somendrew/s5ep5-calories-eda-catboost-optuna", "kernel_id": "81990849"}, {"ref": "abhyudaya456/s5e5-0-05688-to-0-05686-full-eda-and-model", "kernel_id": "81999104"}, {"ref": "tomkit11/s5e5-starter-with-lgbm-catboost-xgboost", "kernel_id": "81961360"}, {"ref": "sulaniishara/calorie-view-eda-catboost", "kernel_id": "81965448"}, {"ref": "muhumuzadeusai/predict-calorie-expenditure", "kernel_id": "81992075"}, {"ref": "pony1013/competition-notebook-3-catboost", "kernel_id": "81973296"}, {"ref": "mminemirhandarka/predict-calorie-expenditure-ann", "kernel_id": "81983753"}, {"ref": "sadettinamilverdil/predicting-calories-with-xgboost-and-shap", "kernel_id": "81980594"}, {"ref": "aryamanvaishya/predict-calorie-expenditure-v1-standard-rfr", "kernel_id": "81965578"}, {"ref": "iamnotindangerskyler/calorie-burn-data-activity-consistency", "kernel_id": "81965773"}, {"ref": "matthewhabermann/quickeda", "kernel_id": "81962202"}, {"ref": "matthewhabermann/starter-xgboost-optuna", "kernel_id": "81968221"}, {"ref": "sayyedfarrukhmehmood/what-can-df-describe-teach-us-about-this-data", "kernel_id": "81983989"}, {"ref": "mohamedbassat/count-those-caloriesssssss-ml", "kernel_id": "81988880"}, {"ref": "bhaskarmishra44796/calorie-expenditure-xgbreg", "kernel_id": "81981652"}, {"ref": "haninimbarek/eda-xgboost-kaggle-playground-series-s5e5", "kernel_id": "81971172"}, {"ref": "swandipsingha/s5e5-eda-fe-xgboost", "kernel_id": "81960635"}, {"ref": "jiaoyouzhang/calorie-only-xgboost", "kernel_id": "81969582"}, {"ref": "celalngr/s5e5-calories-prediction", "kernel_id": "81981264"}, {"ref": "nikitamanaenkov/calorie-starter-lnn", "kernel_id": "81976974"}, {"ref": "nikitamanaenkov/predict-calorie-eda", "kernel_id": "81979704"}, {"ref": "nikitamanaenkov/predict-calorie-lnn", "kernel_id": "81982952"}, {"ref": "luukkornegoor/calorie-expenditure-nn-xgb-cat-lgbm-ensemble", "kernel_id": "81995375"}, {"ref": "parthrait/predict-calorie-t1-0-05726", "kernel_id": "81964746"}, {"ref": "parthrait/predict-calorie-t2-0-05760", "kernel_id": "81966797"}, {"ref": "manasi197/predict-calorie-expenditure", "kernel_id": "81969394"}, {"ref": "ou20040313/calorie-xgboost", "kernel_id": "81984336"}, {"ref": "lele25811/s05e05-predict-calorie-expenditure", "kernel_id": "81985515"}, {"ref": "sangampaudel530/predict-calorie-expenditure-eda-ml", "kernel_id": "81991987"}, {"ref": "iseedeep/s5e5-eda-prediction-with-deeprage", "kernel_id": "81988032"}, {"ref": "codexbhawesh/calorie-prediction-s5e5", "kernel_id": "81960089"}, {"ref": "coderkr/predict-calories-improved", "kernel_id": "81989408"}, {"ref": "coderkr/predict-calories-catboost-cv", "kernel_id": "81984507"}, {"ref": "leecharlette/fork-of-notebook7767de9d71", "kernel_id": "81997642"}, {"ref": "abduraaahim/predict-calories", "kernel_id": "81978830"}, {"ref": "kayrahanozcan/ps-s5e5-predict-calorie-expenditure-t-rk-e", "kernel_id": "81968916"}, {"ref": "emircansoftware/predict-calories-eda-xgboost", "kernel_id": "81980489"}, {"ref": "dalloliogm/tidymodels-calories", "kernel_id": "82012700"}, {"ref": "dalloliogm/tpu-i-choose-you", "kernel_id": "82136440"}, {"ref": "albertferre/eda-analyzing-the-most-important-variables", "kernel_id": "82704278"}, {"ref": "gangtom/hill-climbing-with-pca-for-nn-predict-calorie", "kernel_id": "82735635"}, {"ref": "josepart/tabpfn-regressor", "kernel_id": "82442706"}, {"ref": "nulldata/catlightx-starter-notebook-best-score-0-05698", "kernel_id": "82402027"}, {"ref": "uzdavinys/pg-s05e05-create-new-features", "kernel_id": "82011329"}, {"ref": "jefferythewind/good-fe-and-warpgbm", "kernel_id": "82568989"}, {"ref": "cv13j0/calorie-burn-forecasting-via-xgbts", "kernel_id": "82137599"}, {"ref": "cv13j0/nn-ideas-calorie-expenditure-predictions", "kernel_id": "82589618"}, {"ref": "abisheksrivastav/predict-calorie-expeniture", "kernel_id": "82611996"}, {"ref": "abisheksrivastav/predict-calorie-expenditure-eda", "kernel_id": "82135162"}, {"ref": "abisheksrivastav/predict-calorie-expenditure", "kernel_id": "82072529"}, {"ref": "abisheksrivastav/predict-calorie-expenditure2", "kernel_id": "82074031"}, {"ref": "abisheksrivastav/predict-calorie", "kernel_id": "82243607"}, {"ref": "abisheksrivastav/calorie-exp", "kernel_id": "82809350"}, {"ref": "abisheksrivastav/calorie-expenditure-meta-features", "kernel_id": "82810866"}, {"ref": "yekenot/ps-s5-e5-tabm-nn", "kernel_id": "82363937"}, {"ref": "sreedevsb/calorie-expenditure-eda-xgboost-0-05875", "kernel_id": "82182284"}, {"ref": "sreedevsb/calorie-expenditure-eda-catboost-0-05754", "kernel_id": "82351039"}, {"ref": "alexabe/predict-calories", "kernel_id": "82279619"}, {"ref": "ryzhokhina/pce-eda-baseline", "kernel_id": "82778040"}, {"ref": "stopwhispering/calories-shap-values-visualization-analysis", "kernel_id": "82762946"}, {"ref": "stopwhispering/calories-eda", "kernel_id": "82055829"}, {"ref": "cdeotte/gpu-hill-climbing-cv-0-05930", "kernel_id": "82350475"}, {"ref": "cdeotte/nn-mlp-starter-cv-0-0608", "kernel_id": "82290813"}, {"ref": "oscarm524/ps-s5-ep5-eda-modeling-submission", "kernel_id": "82015772"}, {"ref": "obiaf88/pca-for-data-visualization-and-xgboost-regressor", "kernel_id": "82369639"}, {"ref": "lokesh8198/calorie-expenditure-ann-lgb-regressor-tuning", "kernel_id": "82179470"}, {"ref": "motamensalih/using-autoencoder-for-feature-extraction", "kernel_id": "82461315"}, {"ref": "stpeteishii/calorie-keras-mlp-regressor-w-optuna", "kernel_id": "82793989"}, {"ref": "stpeteishii/calorie-keras-mlp-regressor-w-processed-data", "kernel_id": "82653715"}, {"ref": "stpeteishii/calorie-mlp-regressor-lightning", "kernel_id": "82654673"}, {"ref": "stpeteishii/calorie-visualize-importance-w-processed-data", "kernel_id": "82036445"}, {"ref": "stpeteishii/calorie-lgbmregressor-w-processed-data", "kernel_id": "82036680"}, {"ref": "stpeteishii/calorie-catboostregressor-w-processed-data", "kernel_id": "82055301"}, {"ref": "stpeteishii/calorie-processed-data", "kernel_id": "82035204"}, {"ref": "stpeteishii/calorie-sklearn-mlp-regressor-w-processed-data", "kernel_id": "82161076"}, {"ref": "stpeteishii/calorie-randomforestregressor-w-processed-data", "kernel_id": "82166630"}, {"ref": "stpeteishii/calorie-models-stacking-w-processed-data", "kernel_id": "82167764"}, {"ref": "stpeteishii/calorie-expenditure-lazy-regressor", "kernel_id": "82608800"}, {"ref": "stpeteishii/calorie-sklearn-mlp-regressor-w-optuna", "kernel_id": "82612334"}, {"ref": "stpeteishii/calorie-xgbregressor-w-processed-data", "kernel_id": "82632151"}, {"ref": "ricopue/s5e5-calories-minute-great-target", "kernel_id": "82315848"}, {"ref": "subhasism15/day-2-building-feature-and-basic-model", "kernel_id": "82162830"}, {"ref": "mpwolke/burning-calories-on-kaggle", "kernel_id": "82460063"}, {"ref": "akhanov/feature-engineering-stacking", "kernel_id": "82072832"}, {"ref": "jananimoly/calorie-prediction-eda-fe-xgb-score-0-064", "kernel_id": "82201785"}, {"ref": "nishiokande/catboost", "kernel_id": "82176574"}, {"ref": "nishiokande/predict-calorie-expenditure-notebook", "kernel_id": "82097186"}, {"ref": "santusrk/mlpregressor-pytorch-nn", "kernel_id": "82357614"}, {"ref": "nabindernath/calorie-expenditure-0-08rmsle", "kernel_id": "82624699"}, {"ref": "muhammedali26/calorieprediction-eda-xgb-lgbm-catboost", "kernel_id": "82364918"}, {"ref": "saadlaouadi/02-predict-calories-feature-importance", "kernel_id": "82850103"}, {"ref": "saadlaouadi/calorie-expenditure-in-depth-feature-analysis", "kernel_id": "82823535"}, {"ref": "aasirwaseer/hyperparameter-tuned-enhanced-catb-ensemble", "kernel_id": "82401433"}, {"ref": "aasirwaseer/adv-feature-eng-adv-model-arch", "kernel_id": "82591000"}, {"ref": "aasirwaseer/advanced-stacking-model-for-calorie-prediction", "kernel_id": "82531540"}, {"ref": "yasserhessein/predict-calorie-expenditure-using-gridsearchcv-rf", "kernel_id": "82004681"}, {"ref": "sandhyaavasthi/predict-calorie-linear-regression", "kernel_id": "82056808"}, {"ref": "avneetkaurnarula/calorie-expenditure", "kernel_id": "82214062"}, {"ref": "pinoystat/ps-2025-05-keras-stacked-transfer-learning", "kernel_id": "82868603"}, {"ref": "yeonseokcho/calorie-expenditure-target-pt", "kernel_id": "82040440"}, {"ref": "aaronisomaisom3/calories-burned-blending-tuned-hgbt-catboost-fe", "kernel_id": "82366230"}, {"ref": "aaronisomaisom3/calories-burned-stacking", "kernel_id": "82510573"}, {"ref": "aaronisomaisom3/calories-burned-lgbm-optuna-fe", "kernel_id": "82287134"}, {"ref": "sinanmutu/why-rmsle-matters-calorie-example", "kernel_id": "82012984"}, {"ref": "adsamardeep/pce-v1", "kernel_id": "82825084"}, {"ref": "synchrocyclotron/easy-tree-blending-with-pycaret", "kernel_id": "82600736"}, {"ref": "synchrocyclotron/tf-keras", "kernel_id": "82319885"}, {"ref": "swas06/predictcalorie-baselinexgboost", "kernel_id": "82001738"}, {"ref": "swas06/predictcalorie-baselinelinearregression-cv", "kernel_id": "82322844"}, {"ref": "mustiztemiz/predict-calorie-expenditure-eda", "kernel_id": "82047531"}, {"ref": "mustiztemiz/predict-calorie-expenditure-modelling", "kernel_id": "82243015"}, {"ref": "digantabhattacharya/caloriepred-xgboost-catboost-baseline-model", "kernel_id": "82957759"}, {"ref": "danielavdar/simple-pytorch-tabnet-2", "kernel_id": "82826691"}, {"ref": "mugundhanm/calorie-calculator", "kernel_id": "82527095"}, {"ref": "josephnehrenz/s5e5-regression-predict-calorie-expenditure-in-r", "kernel_id": "82019324"}, {"ref": "thomasmeiner/s5e5-ngboost-is-back", "kernel_id": "82431636"}, {"ref": "thomasmeiner/s5e5-chatgpt-o1-solution", "kernel_id": "82002060"}, {"ref": "thomasmeiner/s5e5-multiagentic-data-analysis-with-gemma-3", "kernel_id": "82113772"}, {"ref": "thomasmeiner/s5e5-use-feature-engine-for-feature-engineering", "kernel_id": "82101310"}, {"ref": "thomasmeiner/s5e5-testing-different-outlier-strategies", "kernel_id": "82312194"}, {"ref": "chinmayadatt/flaml-automl-for-calories-expenditure", "kernel_id": "82541910"}, {"ref": "chinmayadatt/autogluon-s05e05-calorie-expenditure", "kernel_id": "82460447"}, {"ref": "souhardyaray/notebook26c7100773", "kernel_id": "82920564"}, {"ref": "molanang/calories-burnt-prediction-playground-series-5-05", "kernel_id": "82248258"}, {"ref": "auhona/triple-boost-blend-catboost-xgboost-lightbgm", "kernel_id": "82495665"}, {"ref": "vinu0526/calorie-prediction-xgb", "kernel_id": "82912073"}, {"ref": "farelarden/predict-calories", "kernel_id": "82495312"}, {"ref": "riccardodesantis/residual-analyses-on-lgbm-model", "kernel_id": "82994905"}, {"ref": "jimgruman/food-glorious-food", "kernel_id": "82583869"}, {"ref": "vladimirmijatovic/calories-xgboost-with-optuna", "kernel_id": "82034104"}, {"ref": "casati8/kaggle-s5e5-fastai", "kernel_id": "82621254"}, {"ref": "jocelyndumlao/baseline-calories-prediction", "kernel_id": "82314452"}, {"ref": "jocelyndumlao/ensemble-modeling-for-calorie-prediction", "kernel_id": "82034298"}, {"ref": "mertarcan/calorie-expenditure-prediction-advanced-notebook", "kernel_id": "82063492"}, {"ref": "singhjd/predict-calorie", "kernel_id": "82109264"}, {"ref": "ivanstabile/calories-burnt-eda-rmsle-benchmark", "kernel_id": "82086097"}, {"ref": "omarhadf/predict-calorie-expenditure-linearregression", "kernel_id": "82496388"}, {"ref": "karishmabattina/caloriepredict-lr", "kernel_id": "82893734"}, {"ref": "karishmabattina/caloriepred-rforest", "kernel_id": "82905781"}, {"ref": "adithyachalla/eda-model-building-predict-calories", "kernel_id": "82935226"}, {"ref": "leonchani/11-baseline-calorie-expenditure", "kernel_id": "82275568"}, {"ref": "leonchani/01-only-eda-calorie-expenditure", "kernel_id": "82203903"}, {"ref": "ragisaikiranreddy/calorie-expenditure-ps5e5-regression", "kernel_id": "82064192"}, {"ref": "ragisaikiranreddy/predict-calorie-expenditure-ps5e5-reg", "kernel_id": "82981278"}, {"ref": "shubham1111/gym-nah-i-m-just-tuning-hyperparameters-fe", "kernel_id": "82114381"}, {"ref": "erogluegemen/rawdogging-competition", "kernel_id": "82001620"}, {"ref": "kevinputrasantoso/coba-bikin-model-prediksi-kalori", "kernel_id": "82622119"}, {"ref": "satyaprakashshukl/h20-predict-calorie-expenditure", "kernel_id": "82032546"}, {"ref": "hosseinbehjat/pss5e5-ensemble-of-7-models-optuna-optimization", "kernel_id": "82099738"}, {"ref": "hosseinbehjat/pss5e5-randomforest-grid-search", "kernel_id": "82340180"}, {"ref": "hosseinbehjat/pss5e5-catboost-grid-search", "kernel_id": "82469453"}, {"ref": "andreal314159/calories-burnt", "kernel_id": "82013991"}, {"ref": "ahmedelsany/s5e5-calories-burned-prediction", "kernel_id": "82560711"}, {"ref": "hamzabinbutt/prediction-caloreis-2nd-attempt", "kernel_id": "82201972"}, {"ref": "hamzabinbutt/prediction-caloreis-first-attempt", "kernel_id": "82199290"}, {"ref": "fengyuhui/predict-calorie-expenditure-linear-model", "kernel_id": "82011470"}, {"ref": "esraaalsaeede/predict-calorie-expenditure-0-05700", "kernel_id": "82295014"}, {"ref": "esraaalsaeede/calorie-expenditure-eda-using-xgb", "kernel_id": "82073544"}, {"ref": "omidbaghchehsaraei/flaml-extratrees-0-06114-cv-lb-of-0-05892", "kernel_id": "82478280"}, {"ref": "omidbaghchehsaraei/fast-rapids-cuml-randomforest-cv-0-0667", "kernel_id": "82796248"}, {"ref": "kohei23135/calorie-expenditure-v2", "kernel_id": "82335796"}, {"ref": "dranilkumardubey/xgb-catb-dl", "kernel_id": "82546756"}, {"ref": "dranilkumardubey/lasso-svr-rf-gbr", "kernel_id": "82045918"}, {"ref": "dranilkumardubey/hybrid-model", "kernel_id": "82941315"}, {"ref": "anishreddy1/xgb-regressor", "kernel_id": "82053757"}, {"ref": "shreyanshmanavshukla/predict-calorie-expenditure-using-rf-and-xgboost", "kernel_id": "82109976"}, {"ref": "klyushnik/s5e5-blend-work-0-05733", "kernel_id": "82287110"}, {"ref": "kameshkotwan/calorie-prediction-using-catboost-and-lightgbm", "kernel_id": "82518925"}, {"ref": "uchiwo1/predict-colories-expenditure", "kernel_id": "82165617"}, {"ref": "uselessnoob/calories-prediction-souptik", "kernel_id": "82493733"}, {"ref": "julianowakowska/predict-calorie-expenditure", "kernel_id": "82831483"}, {"ref": "quinthifal/regressor-predict-calorie-expenditure", "kernel_id": "82147638"}, {"ref": "rv1922/linear-legends-the-caloric-conquest", "kernel_id": "82575820"}, {"ref": "rv1922/calorie-quest-the-regression-dungeon", "kernel_id": "82070268"}, {"ref": "pranshubahadur/ps-s5e5-pce-a-funky-approach-wip", "kernel_id": "82891789"}, {"ref": "pranshubahadur/0-0572-ps5e5-pce-multiple-blends", "kernel_id": "82964708"}, {"ref": "onurkoc83/catboost-xgboost-with-new-features", "kernel_id": "82639527"}, {"ref": "abhishek123maurya/calorie-burn-prediction", "kernel_id": "82686422"}, {"ref": "giotamoraiti/eval-models-hill-climbing-3-gbdts-nn-fastai", "kernel_id": "82006705"}, {"ref": "procoding2022/calorie-prediction-optimal-catboost-optuna", "kernel_id": "82019821"}, {"ref": "procoding2022/calorie-prediction-v2", "kernel_id": "82092994"}, {"ref": "procoding2022/notebook2b1985fa03", "kernel_id": "82147872"}, {"ref": "shionao7/calorie-eda-and-lightgbm-v3", "kernel_id": "82796302"}, {"ref": "shionao7/calorie-eda-and-histgradientboostingregressor", "kernel_id": "82794025"}, {"ref": "shionao7/calorie-eda-and-xgboost-and-catboost", "kernel_id": "82926132"}, {"ref": "rohithjuluru2201/ex2-pss5e5-best-quality-gpu-10", "kernel_id": "82399085"}, {"ref": "mariusborel/let-s-go-simple-on-calories", "kernel_id": "82322263"}, {"ref": "mariusborel/eda-gboost-predicted-calories", "kernel_id": "82029326"}, {"ref": "poonyapathomjan/testing-with-xgboost-and-catboost", "kernel_id": "82801992"}, {"ref": "alihaiderahmad/eda-predict-calorie-expenditure", "kernel_id": "82058824"}, {"ref": "samvelkoch/s5e5-eda-interactions-pdp-anomalies", "kernel_id": "82005332"}, {"ref": "samvelkoch/s5e5-features-kitchen", "kernel_id": "82045358"}, {"ref": "samvelkoch/s5e5-leak-with-bonus", "kernel_id": "82112923"}, {"ref": "sabyrbazarymbetov/calorie-eda-experiment", "kernel_id": "82034538"}, {"ref": "smdshk/calex-0-ols-awful-result", "kernel_id": "82391240"}, {"ref": "smdshk/calex-1-simple-eda-with-ydata-profiling", "kernel_id": "82462186"}, {"ref": "smdshk/calex-2-preprocessing", "kernel_id": "82485431"}, {"ref": "smdshk/calex-3-1-tree-ensemble-find-best-model", "kernel_id": "82547073"}, {"ref": "smdshk/calex-3-2-hyperparameter-tuning-catboost", "kernel_id": "82715341"}, {"ref": "kutlukatalay/auto-ml-prediction-with-autogluon-h2o", "kernel_id": "82735683"}, {"ref": "michaorlewski/s5e5-calorie-expenditure", "kernel_id": "82053443"}, {"ref": "srinivasta/predict-calorie-expenditure", "kernel_id": "82725780"}, {"ref": "prakash888kp/eda-fe-for-predict-calorie-expenditure", "kernel_id": "82060309"}, {"ref": "javohirtoshqorgonov/predict-calorie-expenditure", "kernel_id": "82070000"}, {"ref": "santyagoamaya/calor-ia", "kernel_id": "82015225"}, {"ref": "masayakawamata/s5e5-autofeat-baseline", "kernel_id": "82594895"}, {"ref": "masayakawamata/s5e5-xgboost-autofeat", "kernel_id": "82598883"}, {"ref": "masayakawamata/eda-original-synthetic", "kernel_id": "82654263"}, {"ref": "masayakawamata/s5e5-resmlp-cv0-05990", "kernel_id": "82849568"}, {"ref": "masayakawamata/s5e5-nn-3", "kernel_id": "82826171"}, {"ref": "masayakawamata/s5e5-grn", "kernel_id": "82880381"}, {"ref": "a3amat02/predict-calories-expenditure-s5e5-xgboost", "kernel_id": "82001642"}, {"ref": "a3amat02/predict-calories-expenditure-s5e5-lightgbm", "kernel_id": "82029922"}, {"ref": "a3amat02/predict-calories-expenditure-s5e5-catboost", "kernel_id": "82132112"}, {"ref": "jesusdeleon19/predict-calorie-expenditure-rmsle-0-0601", "kernel_id": "82996810"}, {"ref": "francescoliveras/ps-s5-e5-eda-model-en-es", "kernel_id": "82401953"}, {"ref": "rafaelalbianihereda/notebook45b4d99b82", "kernel_id": "82850288"}, {"ref": "sharifi76/caloriecast-adaptive-ensemble-engine-for-s5e5", "kernel_id": "82141622"}, {"ref": "bhaskarkumar11/nn-featureengineering-score-0-05740", "kernel_id": "82633962"}, {"ref": "dantetheabstract/ps-s5e5-linear-model-starter", "kernel_id": "82341910"}, {"ref": "komilparmar/feature-first-smarter-engineering-ensemble", "kernel_id": "82574260"}, {"ref": "grooper/practice-predict-personal-calorie", "kernel_id": "82595636"}, {"ref": "vh10935cse20/calories-prediction-using-xgbooster", "kernel_id": "82684196"}, {"ref": "aarthi2001/calorie-expenditure-prediction", "kernel_id": "82417377"}, {"ref": "michalinahulak/smogn", "kernel_id": "82610728"}, {"ref": "dhruvmishra19/calorie-prediction-with-xgboost-and-optuna", "kernel_id": "82463959"}, {"ref": "stevanuso/playground-predict-calorie-expenditure", "kernel_id": "82352796"}, {"ref": "rahul713/p5e05-eda-using-ydata-profiling", "kernel_id": "82048807"}, {"ref": "tarundirector/cracking-calories-with-ml-basic-advance", "kernel_id": "82010555"}, {"ref": "pranjali1121/predicting-calorie-expenditure", "kernel_id": "82024403"}, {"ref": "whoishmk/calorie-expenditure-using-deep-learning-tensorflow", "kernel_id": "82291032"}, {"ref": "aritra423/predicted-calories", "kernel_id": "82807201"}, {"ref": "aritra423/calorie-predictor-2", "kernel_id": "82973411"}, {"ref": "crisbebop/cals-10-random-forest-ensemble", "kernel_id": "82281832"}, {"ref": "crisbebop/calories-ensemble", "kernel_id": "82275159"}, {"ref": "chrisk321/lb-0-05696-ps5e5-solo-cb-model", "kernel_id": "82432643"}, {"ref": "sobiahashmi/predict-calorie-expanditure", "kernel_id": "82389637"}, {"ref": "les1781/calorie-expenditure-predic-playground-series-s5-e5", "kernel_id": "82070591"}, {"ref": "julianhutin/catboost-model-with-bmi-and-total-pulse", "kernel_id": "82326825"}, {"ref": "vishnupriyagarige/calorie-expenditure-h2o-cb-pipeline", "kernel_id": "82285078"}, {"ref": "srthk03/easy-approach-optuna-xgb-feature-engineering", "kernel_id": "82030199"}, {"ref": "ayushchandramaurya/calorie-expenditure-prediction", "kernel_id": "82216180"}, {"ref": "omararh/predict-calories", "kernel_id": "82533394"}, {"ref": "abeshith/excess-calories-leads-to-exercise", "kernel_id": "82025410"}, {"ref": "ateebnoone/ps-s5e5-bmi-cross-features-tbb-forked", "kernel_id": "82197563"}, {"ref": "iemanihsan/s5e5-predict-calorie-expenditure", "kernel_id": "82664684"}, {"ref": "iemanihsan/xgboost-lgbm-forestregressor", "kernel_id": "82723079"}, {"ref": "iemanihsan/s5e5-eda-fe", "kernel_id": "82745261"}, {"ref": "itasps/0-05758-flaml-automl-for-calories-expenditure", "kernel_id": "82219033"}, {"ref": "itasps/0-05706-autogluon-calorie-expenditure-prediction", "kernel_id": "82169953"}, {"ref": "itasps/0-05708-autogluon-calorie-expenditure-prediction", "kernel_id": "82152168"}, {"ref": "garrickchinnis/calorie-expenditure-keras", "kernel_id": "82254503"}, {"ref": "garrickchinnis/calorie-expenditure-xgboost", "kernel_id": "82051230"}, {"ref": "garrickchinnis/calorie-expenditure-randomforestregressor", "kernel_id": "82067384"}, {"ref": "althariqfairuz/calorie-expenditure-prediction-using-pytorch", "kernel_id": "82671831"}, {"ref": "jesseportillo/calorie-expenditure-xgboost", "kernel_id": "82352826"}, {"ref": "alkidiarete/learner-calories", "kernel_id": "82215522"}, {"ref": "slimeee8888/catboost-slime", "kernel_id": "82550713"}, {"ref": "mushabtinumbang/pizza-fries-0-0568-ensembling-model", "kernel_id": "82437922"}, {"ref": "mushabtinumbang/pizzaeater-xgb-5745-41-features", "kernel_id": "82369011"}, {"ref": "esraydin/predict-calorie-xgboost", "kernel_id": "82634936"}, {"ref": "abdelmalekeladjelet/abdelmalek-calories-expenditure", "kernel_id": "82836758"}, {"ref": "fiftythirtyfour/basline-predict-calorie-expenditure", "kernel_id": "82377581"}, {"ref": "marydata/data-viz-feature-engineering", "kernel_id": "82447346"}, {"ref": "phuocledoan/predict-calorie-xgboost-regressor-0-058", "kernel_id": "82055584"}, {"ref": "shivansh2503/eda-basic-advance-hacker", "kernel_id": "82608485"}, {"ref": "francescoalbanesephd/s5e5-xgb-lgbm-combo-features-shap-v1-3", "kernel_id": "82279628"}, {"ref": "tatsurohanada/calories-prediction-lgbm-xgb", "kernel_id": "82199134"}, {"ref": "chiranjeevimchiru/calorie-prediction-eda-xgboost", "kernel_id": "82252262"}, {"ref": "chiranjeevimchiru/calorie-prediction-5-05-xgb-cv", "kernel_id": "82309554"}, {"ref": "fredericnicholson/give-me-more-cookies", "kernel_id": "82059583"}, {"ref": "xiejinfeng5/boosting-xgb-0-05962-lgbm-0-05841-catb-0-05746", "kernel_id": "82343744"}, {"ref": "elenamartnluque/s5e5-with-xgb-using-cpm-and-bmr", "kernel_id": "82184803"}, {"ref": "mazerunner12321/eda-for-analysis", "kernel_id": "82148731"}, {"ref": "mazerunner12321/eda-xgboost-for-calorieprediction", "kernel_id": "82336650"}, {"ref": "jliangwork/p5e5-data-analysis", "kernel_id": "82849090"}, {"ref": "shadesh/calorie-burn-prediction-with-eda-and-model", "kernel_id": "82942869"}, {"ref": "shadesh/enhanced-data-processing-and-modeling-with-eda", "kernel_id": "82966469"}, {"ref": "shadesh/enhanced-data-processing-and-modeling-with-eda-v2", "kernel_id": "82982463"}, {"ref": "nikita7364777/lb-0-05672-catboost-xgb-lightgbm", "kernel_id": "82874424"}, {"ref": "nikita7364777/lb-0-05734-xgb-lightgbm-catboost", "kernel_id": "82732177"}, {"ref": "aayushiweb/predict-calorie-expenditure", "kernel_id": "82095282"}, {"ref": "lizzylee1111111111/0-05717-5-new-features-single-xgboost", "kernel_id": "82782360"}, {"ref": "lmanojsai/calorie-burn-prediction", "kernel_id": "82599523"}, {"ref": "teshavsharma/predict-calorie-expenditure-using-xgboostregressor", "kernel_id": "82033313"}, {"ref": "kenjira/predict-calorie-expenditure", "kernel_id": "82282557"}, {"ref": "sarthak7005/ensemble-of-solutions", "kernel_id": "82468872"}, {"ref": "sarthak7005/multiplicative-features-model-stacking", "kernel_id": "82007235"}, {"ref": "mohdnematullah/predict-calorie-expenditure-xgboost-lightgbm", "kernel_id": "82007555"}, {"ref": "gabrielivorra/predict-calorie-expenditure-linear-regression", "kernel_id": "82760211"}, {"ref": "danielphys/predict-calorie-expenditure-log-1-column", "kernel_id": "82447496"}, {"ref": "haoxiangjiang/fitness-calories-with-random-forest", "kernel_id": "82737033"}, {"ref": "younusmohamed/57-01-complete-eda-interactive", "kernel_id": "82428203"}, {"ref": "younusmohamed/57-02-feature-engineering", "kernel_id": "82568068"}, {"ref": "pavanrajkg/calorie-predictor", "kernel_id": "82737836"}, {"ref": "abdelhakkana/voting-regressor", "kernel_id": "82363546"}, {"ref": "mohammad123wick/calorie-expenditure-prediction-ridge-improving", "kernel_id": "82499768"}, {"ref": "ogulcancck/predict-calorie-expenditure-eda-visualization", "kernel_id": "82360360"}, {"ref": "archisman15/submission-6", "kernel_id": "82312690"}, {"ref": "archisman15/submission-5", "kernel_id": "82197583"}, {"ref": "srgiomanhes/calorie-expenditure-regression", "kernel_id": "82060301"}, {"ref": "ravaghi/s05e05-calorie-expenditure-hill-climbing", "kernel_id": "82560425"}, {"ref": "ravaghi/s05e05-calorie-expenditure-prediction-automl", "kernel_id": "82037555"}, {"ref": "waltonj/s5e5-booster-squad-xgboost-catboost", "kernel_id": "82450878"}, {"ref": "saliharanauzun/predict-calorie-expenditure-base", "kernel_id": "82378558"}, {"ref": "kingkcabir/calorie-burned", "kernel_id": "82112642"}, {"ref": "mehedithedreamer/autogluon-score-05709-most-easy-solution", "kernel_id": "82072885"}, {"ref": "arthursilva35/ctai-ufba-calorie-expenditure", "kernel_id": "82352217"}, {"ref": "atrbyg24/calorie-expenditure", "kernel_id": "82057609"}, {"ref": "somendrew/s5ep5-averaging-cat-xgb-lgbm", "kernel_id": "82401543"}, {"ref": "somendrew/s5ep5-cat-xgb-lgbm-metamodel", "kernel_id": "82665901"}, {"ref": "somendrew/s5ep5-is-h2o-bad-choice-for-this-competition-yes", "kernel_id": "82790856"}, {"ref": "somendrew/s5ep5-autogluon", "kernel_id": "82942783"}, {"ref": "abdmental01/baseline-predict-calorie-expenditure", "kernel_id": "82287965"}, {"ref": "abdmental01/xgb-predict-calorie-expenditure", "kernel_id": "82365885"}, {"ref": "codelifecl/predict-calorie-playground-vibe-coded", "kernel_id": "82860361"}, {"ref": "samanyuk/who-s-going-to-carry-the-boats-the-logs", "kernel_id": "82089225"}, {"ref": "therohithanand/xgb-feature-engineering-optuna", "kernel_id": "82048582"}, {"ref": "nalanzuikano/calories-forecast", "kernel_id": "82114653"}, {"ref": "solomonajaero/s05-e05-eda-catboost", "kernel_id": "82919662"}, {"ref": "yanokodai/calorie-expenditure-xgbregressor", "kernel_id": "82480181"}, {"ref": "michael1o2/calorie-predict-v2", "kernel_id": "82611991"}, {"ref": "adyiemaz/burned-calorie-prediction", "kernel_id": "82194908"}, {"ref": "tatsun06/correlation-based-feature-engineering-xgboost", "kernel_id": "82219385"}, {"ref": "noeldin25/predict-calorie-expenditure-xgb", "kernel_id": "82875043"}, {"ref": "pony1013/feature-engineering-selection-ensemble", "kernel_id": "82116447"}, {"ref": "fukohayashi/base-model-lightgbm", "kernel_id": "82516398"}, {"ref": "angelosmar1/s5e5-linear-regression-cv-0-05992", "kernel_id": "82918061"}, {"ref": "aryapahari/eda-and-model-training", "kernel_id": "82112301"}, {"ref": "yteshima/ps5s5-simple-dashboard-and-xgboost-et-al", "kernel_id": "82038968"}, {"ref": "zeynepersern/catboost-eda-0-05754", "kernel_id": "82479604"}, {"ref": "asishjosekakkadan/calorie-prediction", "kernel_id": "82717765"}, {"ref": "antonoof/male-vs-female", "kernel_id": "82836273"}, {"ref": "antonoof/the-formula-for-calculating-outliers", "kernel_id": "82688208"}, {"ref": "chaitanya205/calorie-expenditure-predict", "kernel_id": "82362274"}, {"ref": "palvinder2006/calorie-expenditure-prediction", "kernel_id": "82037840"}, {"ref": "vishalpatwa/calories-prediction", "kernel_id": "82819759"}, {"ref": "andrewbnord/predict-calorie-expenditure", "kernel_id": "82429936"}, {"ref": "hoangziet/5-models-compared-eda", "kernel_id": "82814823"}, {"ref": "hoangziet/autogluon-beginner-tutorial", "kernel_id": "82855405"}, {"ref": "aryamanvaishya/calorie-prediction-v8-eda-xgb", "kernel_id": "82226844"}, {"ref": "harshgupta4444/calorie-playground-xgb-lgb", "kernel_id": "82791613"}, {"ref": "josephhowerton/experiment-gender-based-ensemble-0-05725", "kernel_id": "82452962"}, {"ref": "josephhowerton/prediction-calories-effort-physiology-0-05722", "kernel_id": "82143473"}, {"ref": "alanyom/predict-calorie-expenditure", "kernel_id": "82584478"}, {"ref": "arnavsuiiiiiiiiiiii/calories-burnt-rmsle-0-059-eda-catboost", "kernel_id": "82011002"}, {"ref": "saiganeshvoodi/predicting-calorie-exp-using-random-forest", "kernel_id": "82020766"}, {"ref": "saiganeshvoodi/predicting-calorie-exp-regressors", "kernel_id": "82143835"}, {"ref": "saiganeshvoodi/predicting-calorie-exp-xgboost-catboost-lightgbm", "kernel_id": "82083292"}, {"ref": "saiganeshvoodi/climbing-model-selection-prediction", "kernel_id": "82579293"}, {"ref": "saiganeshvoodi/predict-calories-using-automl", "kernel_id": "82382973"}, {"ref": "saiganeshvoodi/prediction-using-nn", "kernel_id": "82907899"}, {"ref": "saiganeshvoodi/predict-calorie-expenditure-with-optuna", "kernel_id": "82842258"}, {"ref": "saiganeshvoodi/optuna-tuned-dynamic-ensemble-prediction", "kernel_id": "82843326"}, {"ref": "matthewhabermann/tuned-xgboost-only", "kernel_id": "82021982"}, {"ref": "feifeifei111/calorie-expenditure-0-93", "kernel_id": "82147095"}, {"ref": "feifeifei111/sample-fp-0-84", "kernel_id": "82346046"}, {"ref": "vadhnasamedyhun/predict-calorie-expenditure-randomforestregressor", "kernel_id": "82214648"}, {"ref": "sai10py/calorie-burnt-prediction-detailed", "kernel_id": "82404580"}, {"ref": "chillix/lstm-training-respa-video", "kernel_id": "82185175"}, {"ref": "kbraar/predict-calorie-expenditure-eda", "kernel_id": "82190175"}, {"ref": "jaxa623/prediction-with-transformer-model-hillclimbing", "kernel_id": "82747677"}, {"ref": "arafat1746/ensemble-models-for-calories-prediction", "kernel_id": "82590878"}, {"ref": "sayyedfarrukhmehmood/pgs5e5-single-model-lb-0-05784-cv-0-0603", "kernel_id": "82569411"}, {"ref": "sayyedfarrukhmehmood/kmeans-clustering-based-fe-improves-cv-lb-scores", "kernel_id": "82923554"}, {"ref": "zafarali27/calorie-expenditure-eda-ml", "kernel_id": "82156980"}, {"ref": "robertlorenz/s5e5-calorine-xgboost-hpo", "kernel_id": "82616362"}, {"ref": "robertlorenz/s5e5-calorine-random-forest-hpo", "kernel_id": "82253968"}, {"ref": "labeebadam/calorie-predictions", "kernel_id": "82683008"}, {"ref": "shalmamuji/ps-s5e5-d3", "kernel_id": "82835293"}, {"ref": "tamareltech/catboost-xgboost-with-new-features-intermediate", "kernel_id": "82719523"}, {"ref": "tamareltech/catboost-xgboost-gpu-needed", "kernel_id": "82789820"}, {"ref": "tamareltech/catboost-xgboost-nn", "kernel_id": "82789555"}, {"ref": "tamareltech/catboost-xgboost-reduced-quantization", "kernel_id": "82789698"}, {"ref": "tamareltech/calorie-automl", "kernel_id": "82920657"}, {"ref": "tamareltech/s5e5-eda-fe-xgboost", "kernel_id": "82920575"}, {"ref": "aslemimolu/predict-calorie-expenditure", "kernel_id": "82063501"}, {"ref": "ashraf989/calories-expenditure", "kernel_id": "82868507"}, {"ref": "gramchelle/pss5e5-straightforward-xgboost-approach", "kernel_id": "82410661"}, {"ref": "samasiayushman/ultimate-guide-visualization-statistic", "kernel_id": "82591074"}, {"ref": "tatianak1991/calorie-expenditure-eda-exploratory-linear-m", "kernel_id": "82435032"}, {"ref": "tatianak1991/calorie-exp-xgb-rf-lgbm-votingregr", "kernel_id": "82839719"}, {"ref": "arpit8800/predict-calorie-expenditure-arpitchb", "kernel_id": "82868994"}, {"ref": "nandinithimmireddyg/calorie-burn-prediction-lightgbm-rmsle", "kernel_id": "82295892"}, {"ref": "petrmameev2/ml-for-calorie-estimation-xgboost-eda", "kernel_id": "82352861"}, {"ref": "jipwulffele/baseline-prediction-median", "kernel_id": "82250898"}, {"ref": "jipwulffele/eda-xgboost-various-target-transformations", "kernel_id": "82220644"}, {"ref": "jipwulffele/burning-calories-a-model-comparison-ridge-ensem", "kernel_id": "82627913"}, {"ref": "tinflorek/xgboost-with-groupby-feature-engineering", "kernel_id": "82318001"}, {"ref": "himanshumahajan138/calorie-eda-tfdf", "kernel_id": "82111893"}, {"ref": "debshatachoudhury/different-models-on-predicting-calorie-expenditure", "kernel_id": "82955326"}, {"ref": "yunusemreakca/s5e5-calories-prediction", "kernel_id": "82078219"}, {"ref": "shaun4761/s5e5-prediction-using-adaboost", "kernel_id": "82463550"}, {"ref": "shaun4761/basic-decision-tree-regressor-calorie-prediction", "kernel_id": "82218294"}, {"ref": "rudenkobogdan/calories-prediction-with-xgbregressor", "kernel_id": "82518720"}, {"ref": "yug201/s5e5-calorie-prediction-lightgbm-fe-eda", "kernel_id": "82512485"}, {"ref": "yug201/s5e5-calorie-prediction-eda", "kernel_id": "82049753"}, {"ref": "yug201/stacking-ensemble-xgboost-base-catboost-meta", "kernel_id": "82253605"}, {"ref": "yashsahu02/predict-calorie-expenditure-s5e5-eda-fe", "kernel_id": "82102197"}, {"ref": "llkh0a/boosting-regression-models", "kernel_id": "82389250"}, {"ref": "llkh0a/calorie-expenditure-with-neural-network", "kernel_id": "82215521"}, {"ref": "swandipsingha/best-fe-ensemble-of-3-models", "kernel_id": "82511869"}, {"ref": "faheemhere/meta-model", "kernel_id": "82674708"}, {"ref": "aamirrazamari/predict-calorie-expenditure", "kernel_id": "82756715"}, {"ref": "paperxd/2-xgboost-1-catboost-lb-0-5692-cv-0-5880", "kernel_id": "82653358"}, {"ref": "paperxd/single-xgboost-model-cv-0-05900-lb-0-05719", "kernel_id": "82453770"}, {"ref": "refiaozturk/calorie-expenditure-eda-xgb-lgbm-ann", "kernel_id": "82503050"}, {"ref": "duygukranolu/predicting-customers-responding-to-insurance", "kernel_id": "82154315"}, {"ref": "xinyang11010709/h2o-automl", "kernel_id": "82258321"}, {"ref": "dureyashfeen/predict-calorie-expenditure", "kernel_id": "82070038"}, {"ref": "mosammo/eda-xgb-calorieexpenditure-0-07", "kernel_id": "82324056"}, {"ref": "rwidasamir/predict-calories-expenditure", "kernel_id": "82921950"}, {"ref": "imantsdolgins/predict-calorie-s5e5-eda-xgb-cb-lgbm", "kernel_id": "82903464"}, {"ref": "sepi0l1/stacking-lightgbm-xgb-cb-ridge", "kernel_id": "82926009"}, {"ref": "theonetheonly/fork-of-notebooke70f21302f", "kernel_id": "82133272"}, {"ref": "theonetheonly/notebooke70f21302f", "kernel_id": "82031413"}, {"ref": "nieniejava/onlycatboost-score0-05742", "kernel_id": "82062450"}, {"ref": "nirmitgavate1/calorie-predictor", "kernel_id": "82152597"}, {"ref": "moridata/predict-calorie-expenditure-0-05692", "kernel_id": "82065577"}, {"ref": "lianalotarets/predict-calorie-expenditure", "kernel_id": "82134208"}, {"ref": "snehaltengse44/calories-prediction-by-xgb-cat-mean", "kernel_id": "82989154"}, {"ref": "chengyannng/adaboost-predict-calories", "kernel_id": "82866996"}, {"ref": "chengyannng/randomforest-predict-calories", "kernel_id": "82790158"}, {"ref": "chengyannng/fork-of-linearregression-predict-calories", "kernel_id": "82787535"}, {"ref": "chengyannng/linearregression-predict-calories", "kernel_id": "82390796"}, {"ref": "aminlayadi/screening-models", "kernel_id": "82409345"}, {"ref": "roshan123kumar/kaggle-score-0-06211", "kernel_id": "82938006"}, {"ref": "alilaudza/trial-calories", "kernel_id": "82224378"}, {"ref": "sameerhandsome1234/calorie", "kernel_id": "82543283"}, {"ref": "sameerhandsome1234/tuned-hp-xgboost", "kernel_id": "82602465"}, {"ref": "parthrait/predict-calorie-t3", "kernel_id": "82005831"}, {"ref": "rafaeldrago/xgboost-regressor-predict-calorie-expenditure", "kernel_id": "82370334"}, {"ref": "darksols/predicting-calorie-expendtiure-jupyter-notebook", "kernel_id": "82679027"}, {"ref": "ahmadsanafarooq/smart-calories-eda-stcking-models", "kernel_id": "82198247"}, {"ref": "kushubhai/predict-calorie-expenditure", "kernel_id": "82599047"}, {"ref": "nusrathameem/random-forest", "kernel_id": "82028924"}, {"ref": "aashuraj001/predict-calorie-expenditure", "kernel_id": "82738847"}, {"ref": "lisiqing0811/sta320", "kernel_id": "82953433"}, {"ref": "aatakanavcii/predict-calorie-expenditure", "kernel_id": "82046084"}, {"ref": "rstev0/s5e5-lgbm", "kernel_id": "82036347"}, {"ref": "christiangale/s05e05-calorie-expenditure-catboost", "kernel_id": "82954666"}, {"ref": "dmitrysavkov/eda-and-feature-engineering-calorie", "kernel_id": "82351638"}, {"ref": "zhangfero/ps5e5predictcalorine-eda-xgboost", "kernel_id": "82453107"}, {"ref": "zhangfero/ps5e5-eda-analysis-and-feature-construction", "kernel_id": "82306714"}, {"ref": "zhangfero/ps5e4-xgboost", "kernel_id": "82313230"}, {"ref": "jayaantanaath/s5e5-xgb-cat-two-dataset-combined-lb-0-05984", "kernel_id": "82676160"}, {"ref": "jayaantanaath/s5e5-xgb-with-new-features-lb-0-05883", "kernel_id": "82660700"}, {"ref": "jayaantanaath/calorie-expenditure-prediction-xgboost-v3", "kernel_id": "82125763"}, {"ref": "jayaantanaath/ps-s5e5-random-forest-99-3", "kernel_id": "82150059"}, {"ref": "jayaantanaath/s5e5-linear-regression-fe-corr-97-8", "kernel_id": "82097481"}, {"ref": "jayaantanaath/s5e5-random-forest-regressor-99-3-ps-0-0761", "kernel_id": "82101605"}, {"ref": "loktungchanc/predict-calorie-expenditure", "kernel_id": "82775048"}, {"ref": "loktungchanc/predictcalorieexpenditure", "kernel_id": "82790150"}, {"ref": "ktacosmo2kag/eda-how-do-you-burn-calories", "kernel_id": "82027002"}, {"ref": "madmanre/eda-save-your", "kernel_id": "82071054"}, {"ref": "vinit08/gb-xgboost", "kernel_id": "82024769"}, {"ref": "shameerahmed3339/calories-xgboost-and-fe", "kernel_id": "82512292"}, {"ref": "shameerahmed3339/s05e05-calorie-expenditure-hill-climbing", "kernel_id": "82950019"}, {"ref": "fructoz3/predict-calorie-expenditure-catboost", "kernel_id": "82104334"}, {"ref": "quezaltendes/s5e5-calories-eda-catboost-optuna", "kernel_id": "82017445"}, {"ref": "andrewsokolovsky/catboost-xgboost-lightgbm-rmsle-0-05680", "kernel_id": "82000592"}, {"ref": "hanzeruiooo/new-predict-c-lightgbm", "kernel_id": "82321668"}, {"ref": "hanzeruiooo/box-cox-predict-c", "kernel_id": "82302666"}, {"ref": "aswinbenny213/calorie-prediction", "kernel_id": "82131176"}, {"ref": "asilbekjon/colory-predict", "kernel_id": "82984419"}, {"ref": "rajivgaba/catboost-with-optuna", "kernel_id": "82406664"}, {"ref": "rajivgaba/catboost-with-optuna-log-target", "kernel_id": "82469050"}, {"ref": "rajivgaba/predict-calories-catboost-rmsle-0-05884", "kernel_id": "82039262"}, {"ref": "sangampaudel530/predict-calories-burned-xgboost-optuna", "kernel_id": "82059678"}, {"ref": "eldermireku/calorie-expenditure-competition", "kernel_id": "82182367"}, {"ref": "katerynaipek/predict-calorie-expenditure", "kernel_id": "82619981"}, {"ref": "tuesdaymatched/cat-feature-engineering", "kernel_id": "82399190"}, {"ref": "samyakshaha/predict-calorie-exp", "kernel_id": "82941983"}, {"ref": "canozensoy/ps-s5e5-catboost-xgboost-feature-engineering", "kernel_id": "82664445"}, {"ref": "canozensoy/ps-s5e5-cross-masked-ensemble", "kernel_id": "82675634"}, {"ref": "canozensoy/ps-s5e5-triple-ensemble-with-catboost-xgboost", "kernel_id": "82751784"}, {"ref": "canozensoy/ps-s5e5-log-blended-cat-xgboost-with-50-fold-cv", "kernel_id": "82883579"}, {"ref": "canozensoy/ps-s5e5-feature-importance-ridge-stacking", "kernel_id": "82164031"}, {"ref": "canozensoy/ps-s5e5-bmi-cross-features-triple-boosting-blend", "kernel_id": "82163611"}, {"ref": "canozensoy/ps-s5e5-bmi-intensity-cross-terms-xgboost", "kernel_id": "82035026"}, {"ref": "canozensoy/ps-s5e5-stratified-xgboost-catboost", "kernel_id": "82609292"}, {"ref": "kindasomethin/predicting-calorie-expenditure", "kernel_id": "82912742"}, {"ref": "romantamrazov/tamrazovroman-v1-pce", "kernel_id": "82607719"}, {"ref": "noguchiy/s5e5-calories-minute-great-target", "kernel_id": "82591193"}, {"ref": "ibrahimabdelsattar10/predict-calorie-expenditure", "kernel_id": "82624856"}, {"ref": "robschieber/calexp-xbg-lgbm-ensemble", "kernel_id": "82848912"}, {"ref": "nektonekks/eda-calories", "kernel_id": "82120943"}, {"ref": "nektonekks/ridge-ensembling-3-gbdts-calories-prediction", "kernel_id": "82121490"}, {"ref": "zuyenha/fork-of-notebooke70f21302f", "kernel_id": "82137132"}, {"ref": "leecharlette/rapid-randomforest", "kernel_id": "82053754"}, {"ref": "siddharth776/ps-s5e5-calorie-score-0-056", "kernel_id": "82181264"}, {"ref": "siddharth776/ps-s5e5-calorie-score-0-05692", "kernel_id": "82286991"}, {"ref": "siddharth776/calorie-prediction-v8-eda-xgb-score-0-058", "kernel_id": "82286742"}, {"ref": "hanu258/calorie-expenditure", "kernel_id": "82511333"}, {"ref": "nathannehemiah/s5e5-simple-xgboost-optuna", "kernel_id": "82093169"}, {"ref": "kenangcmn/calories-randomforest-with-pipeline", "kernel_id": "82496831"}, {"ref": "kenangcmn/calories-hgboost-and-fe", "kernel_id": "82494378"}, {"ref": "kenangcmn/calories-randomforest-and-fe", "kernel_id": "82463261"}, {"ref": "kenangcmn/calories-xgboost-and-fe", "kernel_id": "82029497"}, {"ref": "kenangcmn/calories-randomforest", "kernel_id": "82041335"}, {"ref": "kenangcmn/calories-catboost-and-fe", "kernel_id": "82036183"}, {"ref": "kenangcmn/calories-ensembling-xgboost-and-catboost", "kernel_id": "82938776"}, {"ref": "kenangcmn/calories-ensembling-optimization", "kernel_id": "82976381"}, {"ref": "ayushsyntax/predict-calorie-expenditure", "kernel_id": "82063527"}, {"ref": "maitreyeenitingore/s5e5-predict-calorie-expenditure-ml-sub", "kernel_id": "82796064"}, {"ref": "fahimtal/fahimt-inst737", "kernel_id": "82001076"}, {"ref": "gowthamdd/xg-lightgbm-gm", "kernel_id": "82134187"}, {"ref": "nielco/calorie-predict", "kernel_id": "82020996"}, {"ref": "dustyshrader/best-fe-3-diverse-models", "kernel_id": "82559407"}, {"ref": "ernadj/calorie-prediction-eda-xgboost", "kernel_id": "82480011"}, {"ref": "hirotoshisaito/predict-calorie-expenditure0518", "kernel_id": "82211197"}, {"ref": "mohamed1896/neural-network-calorie-expenditure", "kernel_id": "82535321"}, {"ref": "mohamed1896/calorie-expenditure", "kernel_id": "82535409"}, {"ref": "mohamed1896/best-fe-3-diverse-models", "kernel_id": "82558558"}, {"ref": "kifayatullahe/modeling-calorie-expenditure-with-ml-random-f", "kernel_id": "82104469"}, {"ref": "kt1000d/notebook7da36130b8", "kernel_id": "82534083"}, {"ref": "kt1000d/notebook497b0347d3", "kernel_id": "82381367"}, {"ref": "mdfattahalfahim/s5-e5-v3", "kernel_id": "82368059"}, {"ref": "shivanshkush/predict-calorie-expenditure-light-gbm", "kernel_id": "82125841"}, {"ref": "anjenaanandan/calorie-expenditure-xgbreg", "kernel_id": "82992796"}, {"ref": "ashreenk3/notebook3b1da57bcd", "kernel_id": "82786542"}, {"ref": "ikaganacar/ikaganacar-calories", "kernel_id": "82633491"}, {"ref": "syoshinsyaa/easyensemble-0-5685-xg-and-cat-boost-calorie", "kernel_id": "82489911"}, {"ref": "syoshinsyaa/calorie-score0-05738-stacking-gridsearch", "kernel_id": "82090088"}, {"ref": "analyticaobscura/what-is-automl", "kernel_id": "82136738"}, {"ref": "analyticaobscura/ps-s5e5-calorie-prediction-0-05666", "kernel_id": "82807578"}, {"ref": "vishnuadithya123/playground-series-season-5-episode-5", "kernel_id": "82158206"}, {"ref": "vgprin/playground-series-s5e5", "kernel_id": "82150908"}, {"ref": "kitschs/model-blending", "kernel_id": "82955302"}, {"ref": "vedatozturk0/s5e5-calories-prediction-eda-xgboost", "kernel_id": "82925591"}, {"ref": "haliburton/s5e5-calorie-prediction-with-eda-lgbm", "kernel_id": "82114816"}, {"ref": "emircansoftware/autogluon-v1-with-eda-v2-just-autogluon", "kernel_id": "82428397"}, {"ref": "lancecasimiro/predictcalorieexp1", "kernel_id": "82530032"}, {"ref": "super213/eda-lr-rf-xgb-gb", "kernel_id": "82544656"}, {"ref": "xiaxunxxx/notebookd", "kernel_id": "82304024"}, {"ref": "isaacmenard/predict-calorie-expenditure-xgboost", "kernel_id": "82365578"}, {"ref": "adityamalviya23/calorie-prediction", "kernel_id": "82072113"}, {"ref": "rshukla4/come-explore-the-dataset-with-me", "kernel_id": "82826449"}, {"ref": "enesalan/healthy-is-just-tasty-with-fewer-calories-right", "kernel_id": "82727885"}, {"ref": "joanmr95/calorie-prediction-stacking", "kernel_id": "82196390"}, {"ref": "soy8128/predict-calorie-feature-importance", "kernel_id": "82939479"}, {"ref": "soy8128/predict-calorie-tree-ensemble", "kernel_id": "82604972"}, {"ref": "psh1001/s5e5-prediction-workflow-submission", "kernel_id": "82064402"}, {"ref": "dratsushikobayashi/model-2-predict-calorie-expenditure", "kernel_id": "82571148"}, {"ref": "charlemurray1/catboost", "kernel_id": "82267273"}, {"ref": "mariak01/predict-calorie-expenditure-using-xgboost", "kernel_id": "82490143"}, {"ref": "th1717/calorie-only-extratrees", "kernel_id": "82779934"}, {"ref": "hirotonakai/s5e5-simple-dense-nn-0-059", "kernel_id": "82532937"}, {"ref": "tejasvijay/swish-ann-for-calorie-expenditure", "kernel_id": "82632243"}, {"ref": "prvnkani/ps5e5predictcalorine-eda-xgboost", "kernel_id": "82596658"}, {"ref": "prvnkani/20250509-pg5", "kernel_id": "82596438"}, {"ref": "dalloliogm/multiple-ensemble-strategies", "kernel_id": "83526774"}, {"ref": "uzdavinys/pg-s05e05-fastai-solution-0-05745", "kernel_id": "83211952"}, {"ref": "cv13j0/auto-ml-model", "kernel_id": "83198859"}, {"ref": "abisheksrivastav/calorie-expenditure-hill-climbing", "kernel_id": "83556885"}, {"ref": "abisheksrivastav/calorie-expenditure-feature-importance", "kernel_id": "83297396"}, {"ref": "yekenot/ps-s5-e5-deeptables-nn", "kernel_id": "83208225"}, {"ref": "bg4xsd/shine-s-s5e5-work", "kernel_id": "83954076"}, {"ref": "markcsizmadia/cv-0-06071-h2o-automl-feature-eng", "kernel_id": "83861828"}, {"ref": "devanshb26/predict-calories-eda-lgbm-xgb-optuna", "kernel_id": "83940759"}, {"ref": "sakuno/calories-preds-eda-fe-catboost", "kernel_id": "83126608"}, {"ref": "tom3141592/knn-starter-spoiler-alert-don-t-bother-probably", "kernel_id": "83097142"}, {"ref": "toystory2/notebook-using-xgb-lgbm-cat-elasticnet", "kernel_id": "83253439"}, {"ref": "obiaf88/a-syntetic-notebook-for-calories-expenditure", "kernel_id": "83664035"}, {"ref": "visitnehaverma/calorie-prediction-eda-random-forest", "kernel_id": "83227921"}, {"ref": "kesavsivakumar/scaling-and-model-catboost-building-0-05696", "kernel_id": "83092904"}, {"ref": "ricopue/s5e5-neural-network-alternative-targets", "kernel_id": "83739495"}, {"ref": "priyapathak2407/predict-calories", "kernel_id": "83541727"}, {"ref": "piotrgrabysz/calorie-expenditure-xgboost-pipelines", "kernel_id": "83956089"}, {"ref": "mittalapoorv/calories-burnt-predictor", "kernel_id": "83869994"}, {"ref": "mdaliazad/predict-calorie-using-ml-models", "kernel_id": "83130479"}, {"ref": "sandippalit009/deep-neural-network-in-a-simple-and-easy-way", "kernel_id": "83144318"}, {"ref": "hazalparlak/kaggle-playground-s5e5-calories", "kernel_id": "83790854"}, {"ref": "digantabhattacharya/caloriepred-age-sex-cohorts-tweaked-model", "kernel_id": "83152372"}, {"ref": "digantabhattacharya/caloriepred-feature-creation-script-pre-process", "kernel_id": "83510601"}, {"ref": "aarifansari/prediction-of-calories-burnt", "kernel_id": "83698399"}, {"ref": "abdulkadirsyahab/predict-calorie-expenditure", "kernel_id": "83930369"}, {"ref": "ezzaddeenmofarreh/predict-calorie-expenditure-eda-autogluon", "kernel_id": "83866088"}, {"ref": "valentinemwai/calories-prediction", "kernel_id": "83779270"}, {"ref": "avgupta1994/predict-calories-expenditure-s5-e5", "kernel_id": "83823882"}, {"ref": "yyannnnnn/using-ml-to-predict-calories", "kernel_id": "83309144"}, {"ref": "singhjd/predict-calorie-1", "kernel_id": "83621792"}, {"ref": "leonchani/16-only-randomforest-calorie-expenditure", "kernel_id": "83369144"}, {"ref": "leonchani/21-ensemble-lgbm-xgb-cbt-mlp-rf-calorie", "kernel_id": "83381372"}, {"ref": "leonchani/22-stacking-lgbm-xgb-cbt-mlp-rf-calorie", "kernel_id": "83460947"}, {"ref": "leonchani/13-only-xgb-calorie-expenditure", "kernel_id": "83052413"}, {"ref": "leonchani/12-only-lgbm-calorie-expenditure", "kernel_id": "83051075"}, {"ref": "leonchani/14-only-cbt-calorie-expenditure", "kernel_id": "83076908"}, {"ref": "leonchani/15-only-mlp-calorie-expenditure", "kernel_id": "83170326"}, {"ref": "leonchani/02-interaction-analysis-calorie-expenditure", "kernel_id": "83948283"}, {"ref": "myhrann/s5e5-lgbm-feature-eng", "kernel_id": "83907136"}, {"ref": "beytullahyayla/advanced-feature-engineering-with-xgboost", "kernel_id": "83650844"}, {"ref": "barbagrande007/bbg-007-xgb-optuna", "kernel_id": "83675505"}, {"ref": "saanvitayal07/calorie-expenditure-eda-simple-neural-network", "kernel_id": "83707771"}, {"ref": "kakuteki/mod-ensemble-predict-calorie-expenditure", "kernel_id": "83024908"}, {"ref": "kakuteki/h2o-automl-evaluation-predict-calorie-expenditure", "kernel_id": "83145147"}, {"ref": "kakuteki/median-ensemble-of-multiple-model-submissions-for", "kernel_id": "83229355"}, {"ref": "kakuteki/ensemble-evaluation-predict-calorie-expenditure", "kernel_id": "83772509"}, {"ref": "kakuteki/calorie-autofeatureengineering", "kernel_id": "83874241"}, {"ref": "ravi20076/drw2025-baseline-v1", "kernel_id": "83539273"}, {"ref": "kawsarahmad/calorie-expenditure-using-ml", "kernel_id": "83149369"}, {"ref": "krishkpatil/calories-prediction-xgb-a-modular-approach", "kernel_id": "83440861"}, {"ref": "hamzabinbutt/predict-calorie-expenditure-non-linear", "kernel_id": "83793478"}, {"ref": "salsabilanmahmudah/predict-calorie-expenditure", "kernel_id": "83222316"}, {"ref": "fengyuhui/predict-calorie-expenditure-ml-models", "kernel_id": "83056851"}, {"ref": "omidbaghchehsaraei/pytorch-tabnet-cv-0-06182-lb-0-05799", "kernel_id": "83314233"}, {"ref": "omidbaghchehsaraei/neural-net-sklearn-mlp-cv-0-06080-lb-0-05775", "kernel_id": "83257412"}, {"ref": "sanjilsaurav/calorieexpenditurepred", "kernel_id": "83586319"}, {"ref": "insmora/ps5e5-catboost", "kernel_id": "83510605"}, {"ref": "khanhhoang99/predict-xgboost", "kernel_id": "83516437"}, {"ref": "yixuliu/predict-calorie-expenditure-keytel-formula", "kernel_id": "83688290"}, {"ref": "yixuliu/eda-and-fe-random-forest-regressor", "kernel_id": "83703518"}, {"ref": "yixuliu/predict-calorie-expenditure-lightgbm", "kernel_id": "83707349"}, {"ref": "sharanthakur/xgb-hyperparameter-tuning-cuda", "kernel_id": "83968000"}, {"ref": "giotamoraiti/calorie-prediction-ranked-335-4316-score-0-05865", "kernel_id": "83224546"}, {"ref": "yjsh2003/notebook069182cff5", "kernel_id": "83159827"}, {"ref": "mhazett/calories-prediction-swag", "kernel_id": "83829516"}, {"ref": "mariusborel/optimized-weight-voting-on-calories", "kernel_id": "83542231"}, {"ref": "mariusborel/boost-predicted-calories", "kernel_id": "83128960"}, {"ref": "mariusborel/how-much-calories-was-spent", "kernel_id": "83107804"}, {"ref": "gkanamoto/s5e5-xgb-cat-lgbm-meta-models", "kernel_id": "83209995"}, {"ref": "kalethething/xgboost-optuna", "kernel_id": "83405691"}, {"ref": "adnalakisic/calorie-prediction", "kernel_id": "83313843"}, {"ref": "trangha2710/calories-expenditures-prediction", "kernel_id": "83723367"}, {"ref": "karthikheyaakurra/calorie-expenditure-pipeline", "kernel_id": "83976670"}, {"ref": "filippomonte/xgboost-regressor-calorie-predictions-competition", "kernel_id": "83327615"}, {"ref": "masayakawamata/s5e5-tabnet-with-pretraining", "kernel_id": "83312551"}, {"ref": "shringivyas/calorie-prediction", "kernel_id": "83727242"}, {"ref": "sharmajicoder/99-6-lightgbm", "kernel_id": "83657759"}, {"ref": "abhinavsharma0706/fe-setxgboost", "kernel_id": "83224067"}, {"ref": "abhinavsharma0706/calorie-best-fe", "kernel_id": "83033561"}, {"ref": "yaminh/pss5e5-autogluon-optuna-xgboost", "kernel_id": "83159524"}, {"ref": "ardacankse/pgs5e5-ardacan-kose", "kernel_id": "83870562"}, {"ref": "vh10935cse20/calorie-prediction-using-lgbm-with-feature-eng", "kernel_id": "83665009"}, {"ref": "vh10935cse20/calorie-prediction-using-catbooster-model-tuning", "kernel_id": "83668391"}, {"ref": "vh10935cse20/calorie-prediction-using-catbooster-model", "kernel_id": "83394546"}, {"ref": "vh10935cse20/calorie-prediction-using-catbooster", "kernel_id": "83392819"}, {"ref": "vh10935cse20/calorie-prediction-using-lgbm-regressor", "kernel_id": "83607526"}, {"ref": "vh10935cse20/calorie-prediction-using-xgbooster", "kernel_id": "83608936"}, {"ref": "endofnight17j03/predict-calorie-expenditure-xgboost-0-05945", "kernel_id": "83013864"}, {"ref": "andrfernandes16/xgbregressor-lightgbm-catboost", "kernel_id": "83309734"}, {"ref": "yyjacob/predict-calorie-expenditure", "kernel_id": "83998770"}, {"ref": "prabhudharshantony/calories-prediction-xgb-vs-catb-usingcuda", "kernel_id": "83911398"}, {"ref": "angeleemorquin/predicting-calorie-expenditure-lightgbm-k-fold", "kernel_id": "83305576"}, {"ref": "shyam136/predict-calorie-expenditure", "kernel_id": "83408182"}, {"ref": "sandeepsharma94169/regression-calorie-predictor", "kernel_id": "83354960"}, {"ref": "aryan7004/notebook6ae50e893e", "kernel_id": "83069207"}, {"ref": "diegoamd/burned-calories-prediction-stacking", "kernel_id": "83627583"}, {"ref": "pruthakjani/notebook1-predict-calorie-expenditure-competition", "kernel_id": "83534115"}, {"ref": "kaurgurpreet123/calorie-burnt-prediction", "kernel_id": "83163225"}, {"ref": "marydata/first-try-nne-and-pseudo-labeling-by-a-beginner", "kernel_id": "83590675"}, {"ref": "marydata/xgb-lgbm-catboost-calories-ensemble-prediction", "kernel_id": "83525206"}, {"ref": "vinodkumargurjar/calorie-expenditure-prediction", "kernel_id": "83925450"}, {"ref": "richardhhong/calories-ensemble-meta-nn", "kernel_id": "83662672"}, {"ref": "richardhhong/calories-neural-network", "kernel_id": "83061093"}, {"ref": "chiranjeevimchiru/s05-05-cat-boost-0-05974", "kernel_id": "83615843"}, {"ref": "fredericnicholson/give-me-half-a-cookie", "kernel_id": "83045251"}, {"ref": "cristobaltudela/xgboost-predict-calorie-ps-s5e5", "kernel_id": "83081856"}, {"ref": "shadesh/calories-burned-prediction", "kernel_id": "83011026"}, {"ref": "shadesh/machine-learning-code-optimization", "kernel_id": "83078358"}, {"ref": "akhilesh2711/predict-calorie-expenditure-prediction", "kernel_id": "83670665"}, {"ref": "nibeditasahu/calorie-expenditure-prediction", "kernel_id": "83034624"}, {"ref": "nibeditasahu/improved-calorie-expenditure-prediction", "kernel_id": "83178836"}, {"ref": "hngphchi/cs116-model", "kernel_id": "83766860"}, {"ref": "hngphchi/cs116-analytics", "kernel_id": "83765547"}, {"ref": "umeshk10/predict-calorie-expenditure", "kernel_id": "83198257"}, {"ref": "tmtngtrng/nueural-network-calorie", "kernel_id": "83427920"}, {"ref": "tmtngtrng/neural-network-and-lightgbm", "kernel_id": "83672326"}, {"ref": "pradeeplachireddy/calorie-prediction", "kernel_id": "83149625"}, {"ref": "engineerfrabbi/notebook83f4203f82", "kernel_id": "83369470"}, {"ref": "shaunax/predict-calories-expenditure-eda-catboost", "kernel_id": "83457014"}, {"ref": "younusmohamed/57-03-post-processing", "kernel_id": "83821736"}, {"ref": "jawadarshad63/calories-prediction-using-catboostregressor", "kernel_id": "83921078"}, {"ref": "lucasyukioimafuko/burn-baby-burn", "kernel_id": "83134440"}, {"ref": "dbswws/predict-calorie-expenditure", "kernel_id": "83884055"}, {"ref": "waltonj/s5e5-triple-ensemble-double-boosting", "kernel_id": "83249066"}, {"ref": "waltonj/s5e-ensemble-booster-squad-lgbm-search", "kernel_id": "83571487"}, {"ref": "abcdeftm/competition-predict-calorie-expenditure", "kernel_id": "83213170"}, {"ref": "adityapratapstomar/calorie-calc", "kernel_id": "83906544"}, {"ref": "somendrew/s5ep5-metamodel-v2", "kernel_id": "83647127"}, {"ref": "somendrew/s5ep5-public-score-0-05679", "kernel_id": "83346491"}, {"ref": "therohithanand/ensemble-learning-feature-engineering", "kernel_id": "83518671"}, {"ref": "shohan06/calories-expenditure-mlp", "kernel_id": "83234708"}, {"ref": "vishalpnaik/burn-baby-burn-calorie-inferno", "kernel_id": "83508888"}, {"ref": "noeldin25/predict-calorie-expenditure-xgb-cat-lgb", "kernel_id": "83439326"}, {"ref": "suthcong/s5e5-mean-ensemble-of-multiplemodels", "kernel_id": "83274971"}, {"ref": "nandana07/calorie-prediction", "kernel_id": "83109355"}, {"ref": "fukohayashi/gender-specific-lightgbm-optuna", "kernel_id": "83166367"}, {"ref": "fukohayashi/gender-specific-stacking", "kernel_id": "83870869"}, {"ref": "pirhosseinlou/simple-single-xgboost-model", "kernel_id": "83007740"}, {"ref": "dianaayman/eda-feature-engineering-modeling", "kernel_id": "83034712"}, {"ref": "abhirupchoudhury073/fe-and-model-blending-cat-xgb-lgbm", "kernel_id": "83144361"}, {"ref": "abhirupchoudhury073/fe-catboost", "kernel_id": "83435738"}, {"ref": "abhirupchoudhury073/fe-cat-xgb-diverse-ensemble-0-05677-lb", "kernel_id": "83823177"}, {"ref": "pendulum0001/best-lb-0-05696-eda-xgb-cb-ensemble", "kernel_id": "83161784"}, {"ref": "mkastekin/calorie-prediction", "kernel_id": "83129786"}, {"ref": "aswinmuthukumar/calorie-burn-predictor-xgboost-holistic-view", "kernel_id": "83449754"}, {"ref": "tenzinjampa/calorie-predictor", "kernel_id": "83478845"}, {"ref": "princekhunt19/calorie-expenditure-full-explanation", "kernel_id": "83298513"}, {"ref": "itsiuj/notebookb306d64718", "kernel_id": "83508610"}, {"ref": "sakhawathossen/predict-calorie-expenditure-using-ml", "kernel_id": "83180512"}, {"ref": "shambhaviijha/predict-calorie-expenditure", "kernel_id": "83453436"}, {"ref": "poojakuniyal/calorie-pred-with-without-kerastuner", "kernel_id": "83801021"}, {"ref": "hisatosenda/predict-calorie-expenditure-eda1", "kernel_id": "83427791"}, {"ref": "hisatosenda/predict-calorie-expenditure-eda2", "kernel_id": "83526703"}, {"ref": "hisatosenda/predict-calorie-expenditure-tabnet-0-06216", "kernel_id": "83916888"}, {"ref": "mattneel/calories-expenditure-modeling", "kernel_id": "83837014"}, {"ref": "matthewhabermann/catboost-cv-0-05937-lb-0573", "kernel_id": "83723695"}, {"ref": "sangdong/caloriespredicting", "kernel_id": "83354743"}, {"ref": "strict4work/predict-calories-expenditure-s5e5", "kernel_id": "83034961"}, {"ref": "namannimble/calories-prediction-boosting-technique", "kernel_id": "83727406"}, {"ref": "simronw/calories-prediction-model", "kernel_id": "83807402"}, {"ref": "valent1/kernel-regression-multivariate-nadarawa-watson", "kernel_id": "83456855"}, {"ref": "singhji07/notebookd5b689a934", "kernel_id": "83501259"}, {"ref": "ramanofthesky/predict-calorie-expenditure", "kernel_id": "83220511"}, {"ref": "souvikrana17/predicting-calorie-expenditure", "kernel_id": "83697863"}, {"ref": "syrspn/predict-calorie-expenditure", "kernel_id": "83491292"}, {"ref": "marcopace2000/calories-eda-model-selection", "kernel_id": "83051535"}, {"ref": "chikonzeroselemani/ensemble-stacking", "kernel_id": "83336163"}, {"ref": "chikonzeroselemani/boosters-rfecv-log1trans", "kernel_id": "83487305"}, {"ref": "mubarknasser/mubarak-nasser", "kernel_id": "83462484"}, {"ref": "aayushithakre/22may-aayushi", "kernel_id": "83474081"}, {"ref": "halilgezgin/calorie-expenditure-analysis", "kernel_id": "83961658"}, {"ref": "yusufbatuhanalgl/xgboost-predict-calorie", "kernel_id": "83189809"}, {"ref": "phuannguyen/pes5e5-calorie-expenditure-baseline", "kernel_id": "83274355"}, {"ref": "salmanulfarish/57-02-feature-engineering", "kernel_id": "83036980"}, {"ref": "salmanulfarish/best-fe-3-diverse-models", "kernel_id": "83036762"}, {"ref": "paperxd/single-xgboost-cv-0-05926-lb-0-05718-5-fold-no-gpu", "kernel_id": "83838503"}, {"ref": "partar/calories-prediction", "kernel_id": "83853004"}, {"ref": "adhamnasreldin/calorie-burning-competiton", "kernel_id": "83221344"}, {"ref": "altemiromar/calorie-prediction-using-ann-in-fast-ai", "kernel_id": "83392321"}, {"ref": "astik13aw/calorie-prediction", "kernel_id": "83318833"}, {"ref": "zeinaabmohamed/predict-calorie-expenditure-linear-model", "kernel_id": "83333962"}, {"ref": "alimuratsargl/predicting-calories-step-by-step", "kernel_id": "83815618"}, {"ref": "dmitrygilemkhanov/s5e5-automl-fedot", "kernel_id": "83507939"}, {"ref": "gans1993/lgbm-calorie-prediction", "kernel_id": "83401709"}, {"ref": "patrykszcz/predict-cal-xgb-cat-lgb-0-05676", "kernel_id": "83622405"}, {"ref": "patrykszcz/predict-calorie-expenditure-xgb-catboost", "kernel_id": "83160208"}, {"ref": "patrykszcz/predict-calorie-xgb-cat-lgb-0-05666", "kernel_id": "83718646"}, {"ref": "abhaymahanteshzalaki/calorie-prediction-model", "kernel_id": "83236133"}, {"ref": "brunochristensen/calorie-expenditure", "kernel_id": "83008048"}, {"ref": "sameerhandsome1234/calories", "kernel_id": "83470442"}, {"ref": "sameerhandsome1234/polynomial-feature", "kernel_id": "83395772"}, {"ref": "sameerhandsome1234/deep-nn", "kernel_id": "83641014"}, {"ref": "sameerhandsome1234/xgb-deep-nn-calories", "kernel_id": "83850657"}, {"ref": "t8101349/predict-calorie-xgb", "kernel_id": "83659986"}, {"ref": "t8101349/predict-calorie-ft-transformer", "kernel_id": "83728219"}, {"ref": "manasi197/predict-calorie-expenditure-lgbm", "kernel_id": "83126400"}, {"ref": "christiangale/s05e05-calorie-expenditure-xgboost-using-optuna", "kernel_id": "83434266"}, {"ref": "denisklenov/calories-non-ml-prediction", "kernel_id": "83084974"}, {"ref": "shameerahmed3339/median-ensemble-of-multiple-model-submissio-634c57", "kernel_id": "83562320"}, {"ref": "shameerahmed3339/median-ensemble-of-multiple-model-submissions-for", "kernel_id": "83562450"}, {"ref": "shameerahmed3339/median-ensemble-of-multiple-model-submissio-3902b1", "kernel_id": "83562476"}, {"ref": "steffan52/predict-calorie-catboost", "kernel_id": "83055984"}, {"ref": "kiranpal18/predict-calorie", "kernel_id": "83187856"}, {"ref": "snoopycl/calorie-expenditure-new", "kernel_id": "83971499"}, {"ref": "azan489524/burnrate-predicting-calorie-expenditure", "kernel_id": "83048936"}, {"ref": "harshsharma2704/calorie-predictor-xgb-lgbm-rf", "kernel_id": "83642695"}, {"ref": "quangjames/s5e5-single-lightgbm-train-0-0569-val-0-06", "kernel_id": "83284165"}, {"ref": "quangjames/s5e5-single-xgboot", "kernel_id": "83323269"}, {"ref": "karisanoruo/caloric-burning", "kernel_id": "83962118"}, {"ref": "karisanoruo/calories-competition-first-attempt", "kernel_id": "83180470"}, {"ref": "tuesdaymatched/notebook4bf2d2b30b", "kernel_id": "83440023"}, {"ref": "chiragsharma1201/calorie-predictor", "kernel_id": "83503824"}, {"ref": "hsitengliu/notebook4254da738f", "kernel_id": "83640929"}, {"ref": "battleninza/calorie", "kernel_id": "83515580"}, {"ref": "changchiawei/calories-burned-prediction-challenge-end-to-end", "kernel_id": "83576552"}, {"ref": "changchiawei/super-multiple-ensemble-strategies", "kernel_id": "83577412"}, {"ref": "changchiawei/densedeep-learning-for-predict-calorie-expenditure", "kernel_id": "83123301"}, {"ref": "shamanthakreddymallu/calorie-predictor", "kernel_id": "83182392"}, {"ref": "devanshshukla123/notebook69b001e4d4", "kernel_id": "83081469"}, {"ref": "znaxxh/pcs5e5-eda-xgboost-beginner-friendly-notebook", "kernel_id": "83825621"}, {"ref": "zuyenha/fork-of-fork-of-fork-of-notebooke70f21302f", "kernel_id": "83052594"}, {"ref": "allachernova/compare-different-approaches-analytics", "kernel_id": "83384071"}, {"ref": "nikitaminenkov/xgboost-regression-for-calorie-prediction", "kernel_id": "83617627"}, {"ref": "hanu258/s5e5-xgb-cat-lgbm-meta-models", "kernel_id": "83491503"}, {"ref": "khai42/5-minute-eda-story-telling", "kernel_id": "83591119"}, {"ref": "mehulchavan/calorie-predicting-model-without-xgboost", "kernel_id": "83611605"}, {"ref": "ayushsyntax/predict-calorie-expenditure-blending", "kernel_id": "83156795"}, {"ref": "gowthamdd/calories-s5e5-0-05667", "kernel_id": "83214864"}, {"ref": "poitrew/dataengeneering-catboost", "kernel_id": "83384559"}, {"ref": "vaibhavsoni11121/predict-calorie-expenditure", "kernel_id": "83451388"}, {"ref": "tutrantommy/calorie-expenditure-xgboost-play-around", "kernel_id": "83347161"}, {"ref": "hirotoshisaito/predict-calorie-expenditure-hs0531", "kernel_id": "83087023"}, {"ref": "mohamed1896/best-fe-3-diverse-models-40f9b9", "kernel_id": "83035612"}, {"ref": "surajk11/calorieprediction", "kernel_id": "83288082"}, {"ref": "celinags/calories", "kernel_id": "83825451"}, {"ref": "agazie/predictcalorieexpenditure", "kernel_id": "83013518"}, {"ref": "burakcivelek/predict-calorie-expenditure", "kernel_id": "83376656"}, {"ref": "burakcivelek/keras-training", "kernel_id": "83853765"}, {"ref": "davidm40/calorie-from-scratch", "kernel_id": "83766944"}, {"ref": "cjungy2/calorie-expenditure-prediction-model-development", "kernel_id": "83508800"}, {"ref": "rocedg/eda-fe-boosting-ensemble-calories-0-05715", "kernel_id": "83052880"}, {"ref": "robertmcs/calorie-burn-prediction-via-boosted-ensemble-model", "kernel_id": "83144780"}, {"ref": "prvnkani/simple-single-xgboost-model", "kernel_id": "83035299"}, {"ref": "nizamimammadli/s5-e5-nizami-mammadli", "kernel_id": "83384907"}, {"ref": "ruslanrozymuradov/kaggle-s5e5-fastai", "kernel_id": "83543779"}, {"ref": "patrickmillalpez/eda-predict-calorie-expenditure", "kernel_id": "83029486"}, {"ref": "primus29/stacking-regressor-models-lgbm-xgb", "kernel_id": "83309503"}, {"ref": "ashrafasadofficial/calorie-expenditure-prediction", "kernel_id": "83796651"}, {"ref": "sachiellu/predict-calorie-expenditure", "kernel_id": "83142664"}, {"ref": "bloomybloom/rmsle-catboost-optuna", "kernel_id": "83609990"}, {"ref": "evelyntan0417/notebook700a7d6d7b", "kernel_id": "83530050"}, {"ref": "nishtha711/kaggle-s5e5-eda-model-calorie-burn-prediction", "kernel_id": "83657923"}, {"ref": "vidhipatel1208/notebook5933dacb76", "kernel_id": "83468874"}, {"ref": "yekenot/ps-s5-e5-liquid-nn-pytorch", "kernel_id": "84354809"}, {"ref": "markcsizmadia/cv-0-05966-catboost-feature-eng-eda", "kernel_id": "84159103"}, {"ref": "markcsizmadia/cv-0-05992-xgb-feature-eng-eda", "kernel_id": "84156659"}, {"ref": "markcsizmadia/cv-0-059326-hill-climbing-and-ridge-ensemble", "kernel_id": "84204941"}, {"ref": "priyapathak2407/predict-optimal-fertilizers-nn", "kernel_id": "84150725"}, {"ref": "piotrgrabysz/analyze-the-effect-of-feature-engineering", "kernel_id": "84006056"}, {"ref": "mboejua/calorie-exp-ligthgbm", "kernel_id": "84062995"}, {"ref": "dynamo14324/notebook33d2ab04c1", "kernel_id": "84001944"}, {"ref": "wonjinnam/s5e5-explore-ensemble", "kernel_id": "84117580"}, {"ref": "leonchani/01-only-eda-predicting-optimal-fertilizers", "kernel_id": "84281918"}, {"ref": "alan1305/pgs505-5th-place-solution-cv-0-0588", "kernel_id": "84116219"}, {"ref": "suhyukchoi/pl-s5e5-xgb-cat-lgbm-linear", "kernel_id": "84123531"}, {"ref": "priyanshu594/s5e5-eda-with-plotly", "kernel_id": "84278361"}, {"ref": "agnivoag/confidence-analysis", "kernel_id": "84903975"}, {"ref": "shreeraksha27/predictcalorieexpenditure", "kernel_id": "84030395"}, {"ref": "kagankoral/ps-s05e05-calorie-expenditure-prediction", "kernel_id": "84764313"}, {"ref": "ycelgerekliolu/calories-final-predict-model-yucel", "kernel_id": "84071833"}, {"ref": "shyam136/predict-calorie-expenditure-v2", "kernel_id": "84039162"}, {"ref": "francescoalbanesephd/s5e6-xgb-w-smote-extratrain-v1-3", "kernel_id": "84754735"}, {"ref": "jliangwork/p5e5-preliminary-model", "kernel_id": "84235876"}, {"ref": "modelinejeanpierre/calorie-expenditure-analysis", "kernel_id": "84320866"}, {"ref": "deryaumutkulal/s5e5-ensemble", "kernel_id": "84234029"}, {"ref": "touhid20/predict-calorie", "kernel_id": "84110271"}, {"ref": "sudhanshu3112/predict-calorie-1", "kernel_id": "84095861"}, {"ref": "yiluosjtut/20250331-predicting-calorie-expenditure", "kernel_id": "84100043"}, {"ref": "bahridgr/predict-calorie-expenditure", "kernel_id": "84149952"}, {"ref": "angelosmar1/s5e5-torch-nn-cv-0-05954", "kernel_id": "84104522"}, {"ref": "cyunhsu/calorie-expenditure-xgb-optuna", "kernel_id": "84022007"}, {"ref": "liusunju/predict-calorie-expenditure", "kernel_id": "84023128"}, {"ref": "saifeddinebaccouch/notebook2885215739", "kernel_id": "84105491"}, {"ref": "rayanra77/predict-calorie-expenditure-xgboost", "kernel_id": "84096585"}, {"ref": "shubhamveer/fnn-target-5500", "kernel_id": "84165252"}, {"ref": "rosebeltran/predict-calorie-only-neural-networks", "kernel_id": "84014963"}, {"ref": "kienngx/predict-calorie-expenditure", "kernel_id": "84133893"}, {"ref": "binqiangliu/best-fe-3-diverse-models", "kernel_id": "84148034"}, {"ref": "nihacheepirishetty/calorie-expenditure", "kernel_id": "84009572"}, {"ref": "mahajankunaldevidas/notebookf4724211d6", "kernel_id": "84051464"}, {"ref": "mahajankunaldevidas/notebook46fd444a13", "kernel_id": "84081547"}, {"ref": "halilgezgin/calorie-expenditure-regression", "kernel_id": "84017558"}, {"ref": "rahmatanko/calorie-prediction", "kernel_id": "84098777"}, {"ref": "ravitejapanga/calorie-expenditure-99-6-lazypredict-xgb", "kernel_id": "84767500"}, {"ref": "moridata/data-analysis-calories-were-burned-during-workout", "kernel_id": "84146655"}, {"ref": "aitbekovalibek/s5e5-by-tensorflow", "kernel_id": "84064406"}, {"ref": "robschieber/s05e5-various-approaches", "kernel_id": "84048100"}, {"ref": "nasasiratomowen/calorie-prediction", "kernel_id": "84022031"}, {"ref": "szwajcar/calories-kaggle-competition", "kernel_id": "84038582"}, {"ref": "danilerofeev/catboost-xgboost-lightgbm-eda", "kernel_id": "84481205"}, {"ref": "erhankocaoglu/project-data-st", "kernel_id": "84077843"}, {"ref": "emirhanpehlevan/s5e5-first-trial", "kernel_id": "84043316"}, {"ref": "baverkral/notebook03db781023", "kernel_id": "84086167"}, {"ref": "robertocasale/predict-calorie-expenditure-top-7-solution", "kernel_id": "84070951"}, {"ref": "mahammad404/project", "kernel_id": "84074419"}, {"ref": "kurbanazimov/notebook11d663a330", "kernel_id": "84084923"}, {"ref": "kurbanazimov/notebook34d7254edd", "kernel_id": "84083520"}, {"ref": "drewth/calorie-basic-models-polynomial-ridge-0-0779", "kernel_id": "84077085"}, {"ref": "akshaypatil11/predict-calorie-expenditure-0-05877", "kernel_id": "85263466"}, {"ref": "leonchani/11-baseline-predicting-optimal-fertilizers", "kernel_id": "85096273"}, {"ref": "abdellahmaghous/predict-calorie-expenditure-best-score-0-17397", "kernel_id": "85823539"}, {"ref": "donggyunan/predict-calorie-expenditure-baseline", "kernel_id": "85250216"}, {"ref": "w4nggcandoit/train", "kernel_id": "85882986"}, {"ref": "rpschauhan505/predict-calorie-expenditure-model-comparison", "kernel_id": "85866828"}, {"ref": "xwc007/notebookfb44aceb20", "kernel_id": "85620749"}, {"ref": "trongkhang/predict-calorie-expenditure", "kernel_id": "85407678"}, {"ref": "oguztoy/predictcalorieexpenditure", "kernel_id": "85673829"}, {"ref": "teesha5124/calorie-prediction", "kernel_id": "85438419"}, {"ref": "petrkosenko/learning-ml-predicting-calories", "kernel_id": "85218588"}, {"ref": "lokeshgn2003/calories-burned-by-random-forest", "kernel_id": "85548973"}, {"ref": "parkhip/calorie-expenditure", "kernel_id": "86061204"}, {"ref": "komronqayumov/predict-calorie-expenditure", "kernel_id": "86484577"}, {"ref": "vedanshtyagi2451/predict-calorie-expenditure", "kernel_id": "86600680"}, {"ref": "snguyencopilot1/machine-learning-for-regressions-with-scikit-learn", "kernel_id": "86253400"}, {"ref": "singha07/calory-prediction-rmsle-0-05897", "kernel_id": "86514727"}, {"ref": "yujung1125/predict-calorie-expenditure-using-catboost", "kernel_id": "86521869"}, {"ref": "harish00708/calories-predicter", "kernel_id": "86032905"}, {"ref": "rhansacitcinolu/predict-calorie-visualization-regression-0-0628", "kernel_id": "87784987"}, {"ref": "elasgustavoknaus/calories-burnt-prediction-catboost", "kernel_id": "87620225"}, {"ref": "amldvvs/calorie-expenditure-prediction-xgboost", "kernel_id": "87700743"}, {"ref": "mdferozahmedafm/lightgbm-for-predicting-calorie-expenditure", "kernel_id": "87235811"}, {"ref": "ozguraslank/s5e8-kick-start-with-flexml", "kernel_id": "88499247"}, {"ref": "kratipandya/predict-calorie", "kernel_id": "89125760"}, {"ref": "emrullahyediyildiz/predict-calorie-expenditure", "kernel_id": "90325851"}, {"ref": "pavelalimov/ml-course-task1-regression", "kernel_id": "92821151"}, {"ref": "anhphuongnguyenquynh/caloriesprediction-mlp-pytorch", "kernel_id": "94931899"}, {"ref": "kharshavardhannaidu/calories-prediction", "kernel_id": "94470536"}, {"ref": "geethika004/calories-prediction", "kernel_id": "94458700"}, {"ref": "lohithmorampudi/notebook6bca145762", "kernel_id": "94453367"}, {"ref": "louisxvi07/labproject", "kernel_id": "97401434"}, {"ref": "osmansevili/calorie-expenditure", "kernel_id": "97307502"}, {"ref": "manikantaviswa/calorie-expenditure-lghtgbm-regressor", "kernel_id": "98306509"}, {"ref": "gamzebabayigit/calorieexpenditure", "kernel_id": "101778212"}, {"ref": "handeharmankaya/calorie-expenditure-prediction", "kernel_id": "103260103"}, {"ref": "jinstak/calorie-prediction", "kernel_id": "106280895"}, {"ref": "sevvalclalcebeciolu/predict-calorie-expenditure", "kernel_id": "109251437"}, {"ref": "evgendvorkin/catboost-fe-0-05888-private", "kernel_id": "114573260"}, {"ref": "omeraydin1/notebook1d6af26c40", "kernel_id": "115337261"}, {"ref": "nina2025/ps-s5e5-polar-h-blend", "kernel_id": "115392064"}, {"ref": "zynptkn06/predict-calorie-expenditure", "kernel_id": "115236686"}, {"ref": "afauzanadhima/calorie-burnt-prediction-lgbm-scratch", "kernel_id": "117313243"}, {"ref": "basaktamer/predict-calorie-expenditure", "kernel_id": "119236304"}, {"ref": "mhskaya/calorie-expenditure-prediction-with-ml", "kernel_id": "122747221"}, {"ref": "zqx960151285/predict-calorie-expenditure", "kernel_id": "129500247"}, {"ref": "abptyom/notebookf5f0348f91", "kernel_id": "136518122"}]}
{"competition_id": "91717", "kernels": [{"ref": "samasiayushman/ultimate-guide-visualization-statistic", "kernel_id": "82591074"}, {"ref": "dalloliogm/autogluon-approach-to-fertiz", "kernel_id": "84123991"}, {"ref": "dalloliogm/tabpfn-foundation-model-approach-to-fertilizer", "kernel_id": "84126436"}, {"ref": "aaronbornstein/sowing-success-actionable-eda-feature-eng", "kernel_id": "84762763"}, {"ref": "josepart/s05e06-tabpfn-classifier-baseline", "kernel_id": "84131468"}, {"ref": "josepart/s05e06-gradient-boosted-trees-with-ydf", "kernel_id": "84440382"}, {"ref": "subhendu/predicting-optimal-fertilizers-mlp", "kernel_id": "84823647"}, {"ref": "cv13j0/a-tree-aproach-to-predict-optimal-fertilizers", "kernel_id": "84172535"}, {"ref": "sun9sun9/map-k-implementation-and-integration-with-sklearn", "kernel_id": "84260233"}, {"ref": "abisheksrivastav/predicting-fertilizers-xgb", "kernel_id": "84507350"}, {"ref": "abisheksrivastav/predicting-optimal-fertilizers-simple-lightgbm", "kernel_id": "84585197"}, {"ref": "abisheksrivastav/predicting-optimal-fertilizers-optimize-xgboost", "kernel_id": "84644103"}, {"ref": "abisheksrivastav/predicting-optimal-fertilizers-eda", "kernel_id": "84137144"}, {"ref": "avtandyl/baseline-v1-top-most-popular", "kernel_id": "84219600"}, {"ref": "arnogils/fun-with-a-simple-lr", "kernel_id": "84832073"}, {"ref": "docxian/ps-s5-e06-fertilizer-prediction", "kernel_id": "84129435"}, {"ref": "ryzhokhina/predict-optimal-fertilizers", "kernel_id": "84550127"}, {"ref": "stopwhispering/fertilizers-eda", "kernel_id": "84125739"}, {"ref": "codingloading/score-0-35146-xgboost-optuna", "kernel_id": "84127901"}, {"ref": "oscarm524/ps-s5-ep6-eda-modeling-submission", "kernel_id": "84210080"}, {"ref": "obiaf88/baseline-deep-learning-for-fertilizer-prediction", "kernel_id": "84634843"}, {"ref": "omarvivas/cb-models5s6", "kernel_id": "84233822"}, {"ref": "omarvivas/lgbm-models5s6", "kernel_id": "84233990"}, {"ref": "omarvivas/xgb-models5s6", "kernel_id": "84234298"}, {"ref": "stpeteishii/optimal-fertilizer-keras-mlp-classifier", "kernel_id": "84143011"}, {"ref": "stpeteishii/optimal-fertilizer-lgbm-w-optuna", "kernel_id": "84149485"}, {"ref": "stpeteishii/optimal-fertilizer-xgb-w-optuna", "kernel_id": "84174280"}, {"ref": "stpeteishii/optimal-fertilizer-catboost-w-optuna", "kernel_id": "84173070"}, {"ref": "stpeteishii/optimal-fertilizer-mlp-classifier-lightning", "kernel_id": "84189692"}, {"ref": "ricopue/s5e6-fertilizers-nn-keras-all-embedding", "kernel_id": "84762173"}, {"ref": "ricopue/s5e6-fertilizers-conv2d-just-for-fun", "kernel_id": "84753546"}, {"ref": "priyapathak2407/predict-optimal-fertilizers-nn", "kernel_id": "84150725"}, {"ref": "kmldas/eda-predicting-optimal-fertilizers", "kernel_id": "84666433"}, {"ref": "pitchet2/optimal-fertilizers-pytorch", "kernel_id": "84298042"}, {"ref": "abhishek9909/eda-eval-with-xgboost-ensemble-logloss-xgb", "kernel_id": "84483195"}, {"ref": "shahwan1980/optimal-fertilizer-prediction", "kernel_id": "84760298"}, {"ref": "mpwolke/fertilizing-my-kaggle-lawn", "kernel_id": "84108627"}, {"ref": "jcaliz/ps-s5e6-ensemble-methods-for-map-3", "kernel_id": "84151802"}, {"ref": "catadanna/tab-s5e6-hexagone", "kernel_id": "84495059"}, {"ref": "wordcards/pgs5-6-lightgbm-baseline", "kernel_id": "84130651"}, {"ref": "trevorhorner/optimal-fertilizer-eda-extratreesclassifier", "kernel_id": "84843241"}, {"ref": "atanunow/predicting-optimal-fertilizer-xgb-oof", "kernel_id": "84955068"}, {"ref": "yeonseokcho/optimal-fertilizers-prediction", "kernel_id": "84139452"}, {"ref": "dynamo14324/playground-series-s5e6-solution", "kernel_id": "84919618"}, {"ref": "dynamo14324/playground-series-s5e6-minimal-test", "kernel_id": "84838365"}, {"ref": "utsavsarkar/advanced-eda-must-watch", "kernel_id": "84180140"}, {"ref": "shamikpaul/fertilizer-prediction-model-map-3-score-0-4158", "kernel_id": "84282058"}, {"ref": "aaronisomaisom3/optimal-fertilizers-ensemble-hgbt-catboost-fe", "kernel_id": "84227563"}, {"ref": "aaronisomaisom3/optimal-fertilizers-xgboost-optuna", "kernel_id": "84445583"}, {"ref": "aaronisomaisom3/optimal-fertilizers-autogluon-starter", "kernel_id": "84771597"}, {"ref": "sinanmutu/s5e6-top-adaptive-boost-map-3-baseline", "kernel_id": "84150423"}, {"ref": "adsamardeep/pof-v1", "kernel_id": "84758202"}, {"ref": "swas06/predectingfertiliser-xgboosthyperparameter", "kernel_id": "84415161"}, {"ref": "swas06/optimalfeatures-eda", "kernel_id": "84273435"}, {"ref": "swas06/predectingfertiliser-xgboostmodel", "kernel_id": "84288068"}, {"ref": "rogersoh/fertilizer-prediction", "kernel_id": "84882742"}, {"ref": "noobzik/default-randomforest-predicting-optimal-fertilizer", "kernel_id": "84576426"}, {"ref": "giovanizanfra/naive-baseline-sfs-xgb-baseline", "kernel_id": "84467430"}, {"ref": "giovanizanfra/basic-but-comprehensive-first-look-eda-insight", "kernel_id": "84366637"}, {"ref": "tracyporter/play-5-6-catboost", "kernel_id": "84127215"}, {"ref": "tracyporter/play-5-6-xgbclassifier", "kernel_id": "84192328"}, {"ref": "digantabhattacharya/optimalfertilizer-xgb-tuner-baseline-model", "kernel_id": "84974430"}, {"ref": "digantabhattacharya/optimalfertilizer-multi-class-exhaustive-eda", "kernel_id": "84862413"}, {"ref": "josephnehrenz/multiclass-s5e6-optimal-fertilizers-w-catboost", "kernel_id": "84374205"}, {"ref": "vinu0526/fertilizer-xgb", "kernel_id": "84564209"}, {"ref": "vinu0526/fertilizers-eda-insights-ensemble", "kernel_id": "84174124"}, {"ref": "artemzysko/fertilizer-prediction-eda-optuna-xgboost", "kernel_id": "84681822"}, {"ref": "artemzysko/optimal-fertilizer-feature-engineering", "kernel_id": "84768342"}, {"ref": "devilslab/predicting-optimal-fertilizers", "kernel_id": "84850502"}, {"ref": "jimgruman/fertilizers", "kernel_id": "84249432"}, {"ref": "vladimirmijatovic/catboost-power-crushing-the-fertilizer-challenge", "kernel_id": "84120836"}, {"ref": "maithili7/predicting-optimal-fertilizers-beginner-level", "kernel_id": "84179676"}, {"ref": "jocelyndumlao/smart-fertilizer-xgboost-for-crop-yield", "kernel_id": "84169496"}, {"ref": "jocelyndumlao/flaml-fertilizer-prediction", "kernel_id": "84251266"}, {"ref": "yyannnnnn/eda-before-build-a-model", "kernel_id": "84818778"}, {"ref": "karishmabattina/fertilizersxgboost", "kernel_id": "84724617"}, {"ref": "leonchani/01-only-eda-h-m-recommendation", "kernel_id": "84893085"}, {"ref": "leonchani/01-only-eda-predicting-optimal-fertilizers", "kernel_id": "84281918"}, {"ref": "myhrann/s5e6-eda-only", "kernel_id": "84110436"}, {"ref": "myhrann/s5e6-baseline-lgbm-simple-model", "kernel_id": "84585554"}, {"ref": "numberphile69/meta-models-ftwwwww", "kernel_id": "84446790"}, {"ref": "numberphile69/0-35535-public-score", "kernel_id": "84198331"}, {"ref": "numberphile69/simple-xgb-optuna-model", "kernel_id": "84127791"}, {"ref": "numberphile69/lightgbm-optuna", "kernel_id": "84147777"}, {"ref": "shubham1111/s5e6-fertilizer-prediction-task", "kernel_id": "84153309"}, {"ref": "satyaprakashshukl/neural-predicting-optimal-fertilizer", "kernel_id": "84633955"}, {"ref": "satyaprakashshukl/h20-predicting-optimal-fertilizers", "kernel_id": "84218011"}, {"ref": "satyaprakashshukl/predicting-optimal-fertilizers", "kernel_id": "84114490"}, {"ref": "kakuteki/randomforest-predicting-optimal-fertilizers", "kernel_id": "84145916"}, {"ref": "ravi20076/playgrounds5e6-public-baseline-v1", "kernel_id": "84110094"}, {"ref": "ravi20076/playgrounds5e6-public-imports-v1", "kernel_id": "84109757"}, {"ref": "abhishek2niraj/predicting-optimal-fertilizers", "kernel_id": "84687537"}, {"ref": "balajivaraprasad/predicting-fertilizers-xgb-bayesian-search", "kernel_id": "84596242"}, {"ref": "hamzabinbutt/ensemble-1", "kernel_id": "84586894"}, {"ref": "hamzabinbutt/fertilizer-optimization-base-models", "kernel_id": "84222207"}, {"ref": "hamzabinbutt/feature-eng", "kernel_id": "84295109"}, {"ref": "hamzabinbutt/eda-fertilizer-optimization", "kernel_id": "84236596"}, {"ref": "petermoorhouse/sklearn-predicting-optimal-fertilizers", "kernel_id": "84851696"}, {"ref": "pranita1202/best-fertilizer", "kernel_id": "84252656"}, {"ref": "esraaalsaeede/simple-predicting-xgb-eda-0-338", "kernel_id": "84221568"}, {"ref": "elmozamilelamir/first-version-xgboost-v2-dateng", "kernel_id": "84876128"}, {"ref": "elmozamilelamir/xgboostwithcv", "kernel_id": "84880626"}, {"ref": "elmozamilelamir/catboost", "kernel_id": "84882585"}, {"ref": "omidbaghchehsaraei/neural-network-achieving-0-35620-cv-map-3", "kernel_id": "84230029"}, {"ref": "omidbaghchehsaraei/single-xgboost-cv-0-36334-feature-engineering", "kernel_id": "84533218"}, {"ref": "omidbaghchehsaraei/tabtransformer-cv-0-35327-lb-0-36542", "kernel_id": "84828428"}, {"ref": "dranilkumardubey/more-optimized", "kernel_id": "84950310"}, {"ref": "dranilkumardubey/xgb-catb-lightgbm-optuna", "kernel_id": "84790820"}, {"ref": "klyushnik/s5e6-blend-0-34339", "kernel_id": "84534222"}, {"ref": "uuratl/oldmacdonaldhadafarm-xgbclassifier-pipeline", "kernel_id": "84763259"}, {"ref": "chitrakshsingh/predicting-optimal-fertilizers-ml", "kernel_id": "84293855"}, {"ref": "rv1922/agriwise-xgboost-for-map-3-optimization", "kernel_id": "84156999"}, {"ref": "rv1922/predicting-optimal-fertilizers", "kernel_id": "84118187"}, {"ref": "rv1922/predict-optimal-fertilizers-catboost-optuna", "kernel_id": "84602819"}, {"ref": "karltonkxb/fertilizers-fe-xgb-science-0-3582", "kernel_id": "84119362"}, {"ref": "karltonkxb/xgboost-fertilizer-0-3629", "kernel_id": "84809377"}, {"ref": "abhishek123maurya/predictiong-optimal-fertilizers", "kernel_id": "84663272"}, {"ref": "giotamoraiti/predict-fertilizer-eda-ensemble", "kernel_id": "84768104"}, {"ref": "felixpradoh/ps-s5e6-exploratory-data-anlaysis", "kernel_id": "84952049"}, {"ref": "mariusborel/lgbm-what-fertilizer-should-i-use", "kernel_id": "84188999"}, {"ref": "mariusborel/xgboost-predicted-fertilizers", "kernel_id": "84837387"}, {"ref": "mariusborel/xgboosted-fertilizers", "kernel_id": "84882851"}, {"ref": "gkanamoto/psse6-lgbm", "kernel_id": "84256573"}, {"ref": "kutlukatalay/predicting-fertilizer-optuna-catboost-shap", "kernel_id": "84270632"}, {"ref": "priyanshu594/interactive-eda-ps-s5-ep6-submission", "kernel_id": "84207262"}, {"ref": "mattop/ps-s5-e6-public-lb-target-variable-distribution", "kernel_id": "84154776"}, {"ref": "michaorlewski/s5e6-fertilizers-eda-manual-boost-optuna", "kernel_id": "84135255"}, {"ref": "srinivasta/predicting-optimal-fertilizers", "kernel_id": "84530491"}, {"ref": "santyagoamaya/fertilizer-mix-experts-soiltype", "kernel_id": "84914901"}, {"ref": "gmudit/ps-s5e6-predicting-optimal-fertilizers", "kernel_id": "84855301"}, {"ref": "virajhemantha/optimal-fertilizer-prediction", "kernel_id": "84641685"}, {"ref": "a3amat02/s5e6-eda-starter-pack-xgboost", "kernel_id": "84199533"}, {"ref": "abhinavsharma0706/optimal-fertilizers", "kernel_id": "84745684"}, {"ref": "abhinavsharma0706/fertilizers-xgboost", "kernel_id": "84746554"}, {"ref": "sumit08/predictiing-optimal-fertilizers-using-randomforest", "kernel_id": "84261608"}, {"ref": "sumit08/predicting-optimal-fertilizer-using-lightgbm", "kernel_id": "84604775"}, {"ref": "sharifi76/single-xgboost-baseline", "kernel_id": "84286775"}, {"ref": "migrantworkerdatahub/fertalizer-ensemble-automl", "kernel_id": "84329646"}, {"ref": "vh10935cse20/optimal-fertilizer-using-xgbclassifier-with-eda", "kernel_id": "84819543"}, {"ref": "vh10935cse20/predicting-optimal-fertilizer-using-xgb-2", "kernel_id": "84431009"}, {"ref": "vh10935cse20/predicting-optimal-fertilizer-using-catboost-model", "kernel_id": "84424039"}, {"ref": "vh10935cse20/eda-of-optimal-fertilizer", "kernel_id": "84598035"}, {"ref": "vh10935cse20/xgb-model-2-optimal-fertilizer-prediction", "kernel_id": "84593801"}, {"ref": "vh10935cse20/predicting-optimal-fertilizer-using-xgbclassifier", "kernel_id": "84213733"}, {"ref": "vh10935cse20/predicting-optimal-fertilizer-using-xgb-classifier", "kernel_id": "84221124"}, {"ref": "michalinahulak/xgb-fertilizer", "kernel_id": "84286512"}, {"ref": "pranjali1121/fertilizer-prediction", "kernel_id": "84539459"}, {"ref": "mrarray22/predicting-fertilizers-xgb", "kernel_id": "84128723"}, {"ref": "chrisk321/optimal-fertilizers-eda-submission", "kernel_id": "84112256"}, {"ref": "anmuser/predicting-optimal-fertilizers", "kernel_id": "84153545"}, {"ref": "endofnight17j03/optimal-fertilizers-playground-series", "kernel_id": "84624943"}, {"ref": "sobiahashmi/predict-optimal-fertilizer", "kernel_id": "84259212"}, {"ref": "kagankoral/ps-s05e06-optimal-fertilizers", "kernel_id": "84590163"}, {"ref": "manvendrasaini/fertilizer-prediction", "kernel_id": "84588312"}, {"ref": "les1781/optimal-fertilizer-predict-playground-series-s5-e6", "kernel_id": "84244148"}, {"ref": "vishnupriyagarige/optimal-fertilizers-prediction-xgb", "kernel_id": "84222480"}, {"ref": "vishnupriyagarige/optimal-fertilizers-prediction", "kernel_id": "84165377"}, {"ref": "vishnupriyagarige/fertilizer-name-predicting-with-metamodels", "kernel_id": "84554718"}, {"ref": "viswaprakash1990/predicting-optimal-fertilizers-eda-xgboost", "kernel_id": "84299589"}, {"ref": "zeeshier/predicting-fertilizers-xgboost", "kernel_id": "84118003"}, {"ref": "prabhudharshantony/fertilizer-perdiction-xgb-vs-catb-usingcuda", "kernel_id": "84235755"}, {"ref": "ayushchandramaurya/eda-predicting-fertilizer-name", "kernel_id": "84138325"}, {"ref": "juba231/focused-feature-analysis", "kernel_id": "84283824"}, {"ref": "grantgonnerman/ps-s5e6-eda-and-modeling", "kernel_id": "84148362"}, {"ref": "sinzse/optimal-feltilizer-lightgbm-xgboost-catboost", "kernel_id": "84671244"}, {"ref": "abeshith/best-fertilizer-good-plant-growth", "kernel_id": "84124016"}, {"ref": "orvile/eda-of-predicting-optimal-fertilizers", "kernel_id": "84127051"}, {"ref": "diegoamd/predicting-optimal-fertilizers-catboost-xgb-optuna", "kernel_id": "84620772"}, {"ref": "diegoamd/s5e6-predicting-optimal-fertilizers-eda", "kernel_id": "84110250"}, {"ref": "diegoamd/s5e6-predicting-optimal-fertilizers-lgbm", "kernel_id": "84852423"}, {"ref": "diegoamd/s5e6-predicting-optimal-fertilizers-blend-3", "kernel_id": "84934576"}, {"ref": "ruifspinto/fertilizer-recommendation-system-eda", "kernel_id": "84128791"}, {"ref": "itasps/flaml-predicting-optimal-fertilizers", "kernel_id": "84194101"}, {"ref": "itasps/automl-for-predicting-optimal-fertilizers", "kernel_id": "84380685"}, {"ref": "snehalkhandewale/fertilizer-prediction-base-notebook", "kernel_id": "84275798"}, {"ref": "slimeee8888/slime-fertilizers", "kernel_id": "84349711"}, {"ref": "marydata/fertilizer-name-xgb-lgbm-by-beginner", "kernel_id": "84234597"}, {"ref": "asimar/fertilizer-data-eda", "kernel_id": "84911729"}, {"ref": "shivansh2503/in-depth-eda", "kernel_id": "84134378"}, {"ref": "francescoalbanesephd/s5e6-xgb-w-smote-extratrain-v1-3", "kernel_id": "84754735"}, {"ref": "richardhhong/fertilizers-xgb-ensemble", "kernel_id": "84590353"}, {"ref": "richardhhong/fertilizers-neural-network", "kernel_id": "84593999"}, {"ref": "richardhhong/fertilizers-eda", "kernel_id": "84132300"}, {"ref": "richardhhong/fertilizers-xgb-baseline", "kernel_id": "84138193"}, {"ref": "richardhhong/fertilizers-xgb", "kernel_id": "84243081"}, {"ref": "chiranjeevimchiru/s5e6-top3-fertilizer-prediction-xgb-visual", "kernel_id": "84636767"}, {"ref": "chiranjeevimchiru/s5e6-top3-fertilizer-pred-rf", "kernel_id": "84765698"}, {"ref": "chiranjeevimchiru/s5e6-top3-fertilizer-pred-rf-using-log-loss", "kernel_id": "84764934"}, {"ref": "cristobaltudela/xgboost-predict-fertilizer-ps-s5e6", "kernel_id": "84378214"}, {"ref": "cristobaltudela/randomforest-hyperparameter-tuning-ps-s5e6", "kernel_id": "84792349"}, {"ref": "lizzylee1111111111/single-xgboost-baseline", "kernel_id": "84196393"}, {"ref": "lizzylee1111111111/pytorch-tabular-dl-is-not-you-need", "kernel_id": "84395027"}, {"ref": "lmanojsai/predicting-the-perfect-fertilizer-with-keras", "kernel_id": "84731780"}, {"ref": "palfig/xgboost-with-polars", "kernel_id": "84770670"}, {"ref": "pradeeplachireddy/score-0-34208-fertilizers-xgb-optuna", "kernel_id": "84151900"}, {"ref": "purinutpolasanano/0-35820-predicting-optimal-fertilizers", "kernel_id": "84622896"}, {"ref": "pradippokhrel45/xgboost-fertilizer", "kernel_id": "84199209"}, {"ref": "armanzhalgasbayev/s5e6-oikan-predicting-optimal-fertilizers", "kernel_id": "84688290"}, {"ref": "amri11/predicting-optimal-fertilizers-xgboost", "kernel_id": "84111052"}, {"ref": "younusmohamed/60-02-multi-model-multi-preprocess-benchmark", "kernel_id": "84508508"}, {"ref": "younusmohamed/60-01-complete-eda-interactive", "kernel_id": "84491708"}, {"ref": "capdiv/autogluon-0-3495-starter-notebook", "kernel_id": "84614114"}, {"ref": "adityaghai01/baseline-xgboost", "kernel_id": "84770255"}, {"ref": "migrantworkerdata/ensemble-automl-meta-learning", "kernel_id": "84258990"}, {"ref": "jawadarshad63/fertilizer-prediction-using-xgboost-model", "kernel_id": "84296071"}, {"ref": "egorandreasyan/baseline-optimal-fertilizers-catboost", "kernel_id": "84977831"}, {"ref": "pavelgorbachev1/fertilizer-competion", "kernel_id": "84354835"}, {"ref": "samratghosh291/predicting-optimal-fertilizers", "kernel_id": "84763733"}, {"ref": "denvermagtibay/predict-optimal-fertilizer-using-catboost", "kernel_id": "84907804"}, {"ref": "ogulcancck/optimal-fertilizers-eda-insights-xgb", "kernel_id": "84517655"}, {"ref": "sdeogade/fertilizer-prediction", "kernel_id": "84505699"}, {"ref": "curatoreusl/notebookf6e64aecbc", "kernel_id": "84695909"}, {"ref": "recepgk/optimal-feltilizer-lightgbm-xgboost-cpu-based", "kernel_id": "84659479"}, {"ref": "mikhailnaumov/optimal-fertilizers-xgb-lgbm-hgb", "kernel_id": "84318271"}, {"ref": "ravaghi/comparing-multiclass-ensembling-techniques", "kernel_id": "84801435"}, {"ref": "ravaghi/s05e06-fertilizer-optimization-ensemble", "kernel_id": "84196054"}, {"ref": "ravaghi/s05e06-fertilizer-optimization-autogluon", "kernel_id": "84194576"}, {"ref": "mohsenshahbazi/ensemble-xgb-cat-lgbm", "kernel_id": "84227513"}, {"ref": "sudhanshu3112/farming-smarter-fertilizer-soil-data-deep", "kernel_id": "84140844"}, {"ref": "kingkcabir/best-fertilizer", "kernel_id": "84448805"}, {"ref": "tulayppppp/predicting-optimal-fertilizers-eda1-1-6-2025", "kernel_id": "84159061"}, {"ref": "tulayppppp/predicting-optimal-fertilizers-8-6-2025", "kernel_id": "84698271"}, {"ref": "codyjanderson/fert-prediction", "kernel_id": "84312510"}, {"ref": "adsefef/fetrilize-the-soil", "kernel_id": "84365667"}, {"ref": "atrbyg24/predicting-optimal-fertilizers", "kernel_id": "84170370"}, {"ref": "somendrew/s5ep6-eda-simple-starter", "kernel_id": "84118575"}, {"ref": "hemalone/predicting-optimal-fertilizers-eda-lgbm", "kernel_id": "84711735"}, {"ref": "abhyudaya456/s5e6-eda-for-predicting-optimal-fertilizers", "kernel_id": "84121184"}, {"ref": "youknowjp/optimal-fertilizer", "kernel_id": "84266010"}, {"ref": "therohithanand/xgboost-optuna-multilabel-classification", "kernel_id": "84138112"}, {"ref": "nalanzuikano/predicting-fertilizers", "kernel_id": "84212323"}, {"ref": "ravirvik/predicting-n-p-k-separately", "kernel_id": "84257665"}, {"ref": "ravirvik/0-33847-xgb-random-patches-and-subspaces", "kernel_id": "84130842"}, {"ref": "sulaniishara/smart-fertilizer-ranker-map-3-xgboost", "kernel_id": "84114091"}, {"ref": "shohan06/fertilizer-lightgbm-experimental", "kernel_id": "84387948"}, {"ref": "shohan06/fertilizer-nn-experimental", "kernel_id": "84449047"}, {"ref": "muhumuzadeusai/optim-fertilizers-optuna-cat-xgb-lgbm-ensembles", "kernel_id": "84541784"}, {"ref": "alaasweed/s5e6-let-s-farm-guys", "kernel_id": "84111041"}, {"ref": "vbslchanakya/ps5e6-stacked-ensemble-multi-modals", "kernel_id": "84122603"}, {"ref": "pirhosseinlou/xgboost-single-model-v2", "kernel_id": "84624334"}, {"ref": "antonoof/1-line-the-shortest-code", "kernel_id": "84234789"}, {"ref": "antonoof/ensemble-vs-cat-xgb-lgbm", "kernel_id": "84131363"}, {"ref": "liusunju/predicting-optimal-fertilizers", "kernel_id": "84514753"}, {"ref": "aryamanvaishya/predicting-optimal-fertilizers-eda", "kernel_id": "84108159"}, {"ref": "aryamanvaishya/fork-of-predicting-optimal-fertilizers-eda-xgb", "kernel_id": "84109116"}, {"ref": "shubhamveer/fertilizer-nn", "kernel_id": "84746396"}, {"ref": "iamnotindangerskyler/s5e6-eda-shap-for-xgboost", "kernel_id": "84114175"}, {"ref": "harshgupta4444/optimal-fertilzer-xgboost", "kernel_id": "84635210"}, {"ref": "harshgupta4444/optimal-fertilizer-rf", "kernel_id": "84631829"}, {"ref": "harshgupta4444/simple-xgb-playground-fetrtilizer", "kernel_id": "84147329"}, {"ref": "kaannakipoglu/kaannakipoglu-lgbm", "kernel_id": "84816328"}, {"ref": "vynlz63/tab-s5e6-hexagone", "kernel_id": "84575213"}, {"ref": "vynlz63/tab-s5e6-hexagone-cdea30", "kernel_id": "84584760"}, {"ref": "poojakuniyal/predicting-optimal-fertilizer-extratrees", "kernel_id": "84520681"}, {"ref": "matthewhabermann/xgboost-optuna-cv-0-35877-lb-0-35831", "kernel_id": "84872350"}, {"ref": "matthewhabermann/playground-s5-e6-eda", "kernel_id": "84315421"}, {"ref": "strict4work/predicting-optimal-fertilizers-s5e6", "kernel_id": "84254575"}, {"ref": "qifeihhh666/xgboost-s5e6", "kernel_id": "84604095"}, {"ref": "bayarcantrk/g-bre-se-imi", "kernel_id": "84865334"}, {"ref": "abdallahahmed400/predict-fertilizer", "kernel_id": "84861873"}, {"ref": "sayyedfarrukhmehmood/fertilizer-vs-numeric-feature-visual-test", "kernel_id": "84472333"}, {"ref": "zafarali27/s5e6-eda-xgboost-predicting-fertilizers", "kernel_id": "84776556"}, {"ref": "nihacheepirishetty/ensembling-lgb-xgboost-optimal-fertilizers", "kernel_id": "84139821"}, {"ref": "ykawakita/xgboost-basic-model-for-begginers", "kernel_id": "84644977"}, {"ref": "shigekii/eda-trial", "kernel_id": "84881589"}, {"ref": "valent1/s5e6-nn-pytorch-starter", "kernel_id": "84591351"}, {"ref": "shalmamuji/eda-and-feature-engineering", "kernel_id": "84137730"}, {"ref": "shalmamuji/feature-engineering", "kernel_id": "84427431"}, {"ref": "ramanofthesky/fertilizers-eda-insights", "kernel_id": "84544176"}, {"ref": "ramanofthesky/the-best-you-can-get", "kernel_id": "84524583"}, {"ref": "parthramdeo/fertilizer-prediction", "kernel_id": "84836142"}, {"ref": "umarabdulalim/random-forest-optimal-fertilizer-prediction", "kernel_id": "84680755"}, {"ref": "umarabdulalim/optimal-fertilizer-with-xgboost", "kernel_id": "84731886"}, {"ref": "tatianak1991/fertilizerpred-ae-stack-lgbm-xgb-lr-cat", "kernel_id": "84528763"}, {"ref": "marcopace2000/fertilizer-eda-fe-lgbm-gridsearch", "kernel_id": "84285300"}, {"ref": "marcopace2000/fertilizer-eda-lgbm-vs-catboost-no-fe", "kernel_id": "84275140"}, {"ref": "chikonzeroselemani/ps-s5e6-automl-h2o", "kernel_id": "84619351"}, {"ref": "chikonzeroselemani/ps-s5e6-xgboost-optuna", "kernel_id": "84586797"}, {"ref": "chikonzeroselemani/ps-s5e6-eda", "kernel_id": "84312495"}, {"ref": "surajthakur21/optimal-fertilizers-xgboost", "kernel_id": "84731930"}, {"ref": "halilgezgin/optimal-fertilizers-classification", "kernel_id": "84663243"}, {"ref": "halilgezgin/optimal-fertilizers-analysis", "kernel_id": "84582891"}, {"ref": "rudenkobogdan/s5e6-eda-xgb-visualisation", "kernel_id": "84981035"}, {"ref": "garvitdhanwaria/ferilizer-comp", "kernel_id": "84966060"}, {"ref": "swandipsingha/only-eda-that-you-need", "kernel_id": "84109063"}, {"ref": "yusufbatuhanalgl/xgboost-predicting-optimal-fertilizers", "kernel_id": "84268512"}, {"ref": "vikramvit/find-best-fertilizer-competition", "kernel_id": "84404075"}, {"ref": "db0boy/optimal-fertilizers-baseline-xgb", "kernel_id": "84108788"}, {"ref": "mosammo/xgb-feat-engineering-eda-optimal-fertilizers", "kernel_id": "84390389"}, {"ref": "mosammo/xgb-optimal-fertilizers-34", "kernel_id": "84126742"}, {"ref": "nikitamanaenkov/optimal-fertilizers-tabnetclassifier-sample", "kernel_id": "84235634"}, {"ref": "soujanyahazra/optimal-fert-ml", "kernel_id": "84602900"}, {"ref": "dauletsabdenov/fertilizers-xgb-baseline-optuna", "kernel_id": "84957377"}, {"ref": "imantsdolgins/optimal-fertilizers-s5e6-eda-xgb-cb-metamodels", "kernel_id": "84688053"}, {"ref": "erickaeregbu/ps-s5-ep6-fertilizer-prediction-e2-v6", "kernel_id": "84850137"}, {"ref": "sepi0l1/basic-lgbm", "kernel_id": "84816385"}, {"ref": "theonetheonly/tabm-multiclass", "kernel_id": "84687828"}, {"ref": "theonetheonly/xgb-confidence-weight-tune", "kernel_id": "84705781"}, {"ref": "theonetheonly/nn-saint", "kernel_id": "84594867"}, {"ref": "sabra15/predicting-optimal-fertilizers-xgboost", "kernel_id": "84598153"}, {"ref": "moridata/update-0-36262-xgboost-predicting-fertilizers", "kernel_id": "84122578"}, {"ref": "didartulegen/feature-engineering", "kernel_id": "84121811"}, {"ref": "moulishwaranbalaji/lgbm-classifier", "kernel_id": "84324101"}, {"ref": "aitbekovalibek/s5e6-by-keras", "kernel_id": "84142652"}, {"ref": "aitbekovalibek/gradient-boosting-neural-network", "kernel_id": "84271679"}, {"ref": "patrykszcz/xgb-x3-weighted-avg-w-optuna-fe-2-5-fold", "kernel_id": "84638181"}, {"ref": "patrykszcz/simple-xgb-model-5-fold", "kernel_id": "84133150"}, {"ref": "patrykszcz/xgb-triple-ensemble-map-3-opt-no-fe-v1", "kernel_id": "84301291"}, {"ref": "patrykszcz/single-lgb-5-folds", "kernel_id": "84224796"}, {"ref": "mohanapavanbezawada/fertilizer-classification-with-light-gbm", "kernel_id": "84152009"}, {"ref": "mohanapavanbezawada/notebook5cbb787bee", "kernel_id": "84481590"}, {"ref": "sameerhandsome1234/votingclassifier-with-eda", "kernel_id": "84770988"}, {"ref": "sameerhandsome1234/eid-mubarak", "kernel_id": "84599749"}, {"ref": "rafaeldrago/prediciting-optimal-fertilizer-with-optuna", "kernel_id": "84660317"}, {"ref": "mavileo/simple-xgb-5-fold", "kernel_id": "84246272"}, {"ref": "masonlai42/remix-simple-xgboost-lightgbm-ensemble", "kernel_id": "84613956"}, {"ref": "chiragshirsath7/fertilizer-eda", "kernel_id": "84603498"}, {"ref": "evansussex/fertilizers", "kernel_id": "84151558"}, {"ref": "zhangfero/ps5e6-predicting-optimal-fertilizers-xgboost", "kernel_id": "84209857"}, {"ref": "aniketnamjoshi0012/optimal-fertilizer-xgboost", "kernel_id": "84655088"}, {"ref": "vinit08/eda-xgboost", "kernel_id": "84211498"}, {"ref": "camilochart/optimal-fertilizers-eda-correlations", "kernel_id": "84994685"}, {"ref": "shameerahmed3339/xgboost-predict-fertilizer-ps-s5e6", "kernel_id": "84802330"}, {"ref": "xleepy/predicting-optimal-fertilizers-ml-competition", "kernel_id": "84640895"}, {"ref": "marii8st/fertilizers-predictor", "kernel_id": "84137218"}, {"ref": "lele25811/s05e06-predicting-optimal-fertilizers", "kernel_id": "84230344"}, {"ref": "owo123456/xgboost-lgbm-emsemble-0-35932", "kernel_id": "84691330"}, {"ref": "harshsharma2704/fertilizer-prediction-lgbm", "kernel_id": "84220443"}, {"ref": "quangjames/e5s6-stacking-with-xgb-light-cat", "kernel_id": "84750015"}, {"ref": "quangjames/s5e6-single-catboots", "kernel_id": "84260807"}, {"ref": "quangjames/s5e6-single-xgb", "kernel_id": "84151407"}, {"ref": "quangjames/s5e6-single-lightgbm", "kernel_id": "84376704"}, {"ref": "anandvashishtha5362/predicting-optimal-fertilizers", "kernel_id": "84866408"}, {"ref": "samyakshaha/s5e6-attempt-1", "kernel_id": "84183467"}, {"ref": "codexbhawesh/predicting-optimal-fertilizers", "kernel_id": "84124818"}, {"ref": "martjm26/how-to-use-custom-metrics-in-autogluon-on-kaggle", "kernel_id": "84210204"}, {"ref": "martjm26/fe-with-feature-engine-library-xgb", "kernel_id": "84291533"}, {"ref": "trongkhang/optimal-fertilizers", "kernel_id": "84754489"}, {"ref": "devanshshukla123/top3-fertilizers", "kernel_id": "84936954"}, {"ref": "kyanmahajan23/fertilizer-pred", "kernel_id": "84656211"}, {"ref": "robschieber/s05e06-eda", "kernel_id": "84434303"}, {"ref": "znaxxh/pcs5e6-beginner-friendly-notebook", "kernel_id": "84700802"}, {"ref": "samytabayem/tab-s5e6-hexagone", "kernel_id": "84574419"}, {"ref": "hugorochellespam/tab-s5e6-hexagone", "kernel_id": "84574305"}, {"ref": "kylian123/tab-s5e6-hexagone", "kernel_id": "84575557"}, {"ref": "clement2263/tab-s5e6-hexagone", "kernel_id": "84574440"}, {"ref": "zuyenha/xgbtune", "kernel_id": "84589213"}, {"ref": "xueyueicu/playgrounds5e6-lgb-model", "kernel_id": "84488607"}, {"ref": "nikitaminenkov/fertilizer-prediction-with-xgboost-map-3", "kernel_id": "84234753"}, {"ref": "khai42/eda-feature-engineering", "kernel_id": "84803318"}, {"ref": "kenangcmn/fertilizer-xgboost", "kernel_id": "84258213"}, {"ref": "gradient9/initial-data-exploration-fertilizer-optimization", "kernel_id": "84120045"}, {"ref": "gowthamdd/xgboost-lgbm-ensemble-0-363", "kernel_id": "84702074"}, {"ref": "gowthamdd/fertilizer-prediction-0-36670", "kernel_id": "84641727"}, {"ref": "gowthamdd/s5-e6-xg-boost-0-33", "kernel_id": "84579302"}, {"ref": "ianteigen/predicting-optimal-fertilizers-baseline-model-0-33", "kernel_id": "84478590"}, {"ref": "ahmetemirakdogan/simple-starter-xgboost", "kernel_id": "84414281"}, {"ref": "ahmetemirakdogan/simple-xgboost-lightgbm-ensemble", "kernel_id": "84513362"}, {"ref": "ahmetemirakdogan/simple-starter-xgboost-with-5-fold-cv", "kernel_id": "84646082"}, {"ref": "analyticaobscura/optimal-fertilizers-eda-playground-0-38265", "kernel_id": "84746742"}, {"ref": "kirishanthi/predicting-optimal-fertilizers", "kernel_id": "84696186"}, {"ref": "maxougouzou/tab-s5e6-hexagone-b4e1a7", "kernel_id": "84578677"}, {"ref": "dityanugroho/predicting-optimal-fertilizers-ensemble", "kernel_id": "84877457"}, {"ref": "kurellaharini/predicting-fertilizer-with-eda-xgb-stacking", "kernel_id": "84282172"}, {"ref": "haliburton/s5e6-optimal-fertilizers-eda-lgbm", "kernel_id": "84108290"}, {"ref": "emircansoftware/xgboost-using-original-dataset", "kernel_id": "84121015"}, {"ref": "emircansoftware/autogluon", "kernel_id": "84148056"}, {"ref": "sachin62/predicting-optimal-fertilizers", "kernel_id": "84175315"}, {"ref": "sachin62/predicting-optimal-fertilizers-xgb", "kernel_id": "84283014"}, {"ref": "nylonfabric/predicting-optimal-fertilizers-xgboost-model", "kernel_id": "84947270"}, {"ref": "burakcivelek/predicting-optimal-fertilizers", "kernel_id": "84451436"}, {"ref": "tashiib/choosing-an-optimal-fertilizer", "kernel_id": "84837754"}, {"ref": "nina2025/my-fourth-blend-heatmap-support", "kernel_id": "84742159"}, {"ref": "nina2025/my-third-blend", "kernel_id": "84487684"}, {"ref": "nina2025/my-first-blend", "kernel_id": "84482732"}, {"ref": "nina2025/my-second-blend", "kernel_id": "84485790"}, {"ref": "danilerofeev/eda-catboost", "kernel_id": "84139144"}, {"ref": "weitinglin1003/fertilizer-optimization-v1", "kernel_id": "84703638"}, {"ref": "cbdsigmas/not-nn-tao-bon", "kernel_id": "84712341"}, {"ref": "primus29/lgbm-0-33495", "kernel_id": "84655266"}, {"ref": "me0hu0l/playground-s5e6-detailed-eda", "kernel_id": "84872268"}, {"ref": "pablogarciadiscovers/multi-output-regression-euclidean-matching", "kernel_id": "84287878"}, {"ref": "manavjoshi5085/optimal-fertiliser-prediction-xgboost", "kernel_id": "84706884"}, {"ref": "timmolank/day-6-the-importance-of-evaluation-metrics", "kernel_id": "84192929"}, {"ref": "aaryandahalnp/predict-fertilizer-xgboost", "kernel_id": "84968221"}, {"ref": "dalloliogm/blend-of-top-4-public-solutions-multiple-strateg", "kernel_id": "85272365"}, {"ref": "dalloliogm/blend-of-submissions-multiple-strategies", "kernel_id": "85984138"}, {"ref": "subhendu/predicting-optimal-fertilizers-with-lightgbm", "kernel_id": "85268033"}, {"ref": "obiaf88/non-linear-predictor-for-optimal-fertilizer", "kernel_id": "85090666"}, {"ref": "obiaf88/catboost-with-only-categorical-features", "kernel_id": "85550979"}, {"ref": "gvalentini/optimal-fertilizer-eda", "kernel_id": "85956492"}, {"ref": "kesavsivakumar/pgs-ann", "kernel_id": "85280220"}, {"ref": "priyapathak2407/predict-optimal-fertilizers-xgb", "kernel_id": "85134380"}, {"ref": "davidlowryduda/fertilizer-xgb-with-wide-tuning", "kernel_id": "85821683"}, {"ref": "kazutanaka/first-base-line", "kernel_id": "85321152"}, {"ref": "avr007/notebookec9d22b667", "kernel_id": "85724128"}, {"ref": "interestednoob/fertiliser", "kernel_id": "85107390"}, {"ref": "catadanna/hex-optuna-xgb-tab-s5e6", "kernel_id": "85724312"}, {"ref": "yeonseokcho/prediction-optimal-fertilizers-h2oai-automl", "kernel_id": "85080907"}, {"ref": "clora16/pof-xgboost-training-and-inference-with-optuna", "kernel_id": "85499451"}, {"ref": "swas06/predectingfertiliser-ensemble", "kernel_id": "85882525"}, {"ref": "mohamedabder/1-eda-predicting-optimal-fertilizers", "kernel_id": "85942810"}, {"ref": "mohamedabder/2-model-predicting-optimal-fertilizers", "kernel_id": "85950787"}, {"ref": "sirenaalyce/predicting-optimal-fertilizers-competition-v2", "kernel_id": "85511991"}, {"ref": "chinmayadatt/stacking-ml-models-fertilizers", "kernel_id": "85744049"}, {"ref": "prachinikalje/optimal-fertilizer-prediction", "kernel_id": "85866779"}, {"ref": "yigityildiz/predicting-optimal-fertilizers-xgboost", "kernel_id": "85684001"}, {"ref": "vinu0526/fertilizer-lgbm", "kernel_id": "85018838"}, {"ref": "casati8/kaggle-s5e6-fastai", "kernel_id": "85103868"}, {"ref": "faniakritidoy/interactive-eda", "kernel_id": "85656267"}, {"ref": "adithyachalla/eda-model-building-predicting-fertilizers", "kernel_id": "85003854"}, {"ref": "leonchani/11-baseline-predicting-optimal-fertilizers", "kernel_id": "85096273"}, {"ref": "ragisaikiranreddy/optimal-fertilizers-ps5e6", "kernel_id": "85189859"}, {"ref": "prateekkiran/predicting-optimal-fertilizers", "kernel_id": "85592541"}, {"ref": "kakuteki/ensemble-predicting-optimal-fertilizers", "kernel_id": "85246520"}, {"ref": "hoon0303/predicting-optimal-fertilizers-stacking", "kernel_id": "85610437"}, {"ref": "kaushalsahu123/fertilizer-prediction", "kernel_id": "85200655"}, {"ref": "petermoorhouse/s5e6-5-fold-cv-xgboost", "kernel_id": "85507980"}, {"ref": "elmozamilelamir/catboost-improved", "kernel_id": "85207669"}, {"ref": "dranilkumardubey/more-optimized-v2", "kernel_id": "85617889"}, {"ref": "dranilkumardubey/xgb-catb-lightgbm-optuna-v2", "kernel_id": "85644166"}, {"ref": "lordpatil/random-forest-it-is", "kernel_id": "85523030"}, {"ref": "lordpatil/strategic-stratified-ensemble", "kernel_id": "85570650"}, {"ref": "suhyukchoi/pl-s5e6-eda-notebook", "kernel_id": "85027913"}, {"ref": "rv1922/predicting-optimal-fertilizers-xgb", "kernel_id": "85680771"}, {"ref": "rv1922/optimal-fertilizers-prediction-using-autogluon", "kernel_id": "85055178"}, {"ref": "monkeflip/s5e6-0-338-clean-xgboost-optuna-cv", "kernel_id": "85944653"}, {"ref": "felixpradoh/ps-s5e6-xgboost", "kernel_id": "85359292"}, {"ref": "aniketpotabatti/optimal-fertilizers-prediction", "kernel_id": "85160747"}, {"ref": "abhinavdogra002/fertinet-x2-dual-neural-architecture", "kernel_id": "85606189"}, {"ref": "audricsabatier/tab-s5e6-hexagone-71355c", "kernel_id": "85198642"}, {"ref": "romainfillot/tab-s5e6-hexagone-f7414e", "kernel_id": "85197638"}, {"ref": "emirhan3223/xgb-my", "kernel_id": "85440960"}, {"ref": "ayushsinghgour/gpu-xgboost", "kernel_id": "85217652"}, {"ref": "masayakawamata/s5e6-single-xgboost-orig-4", "kernel_id": "85307835"}, {"ref": "vijay20213/fertilizer-pred-using-mlflow-experiments", "kernel_id": "85567710"}, {"ref": "priteshverma/pritesh-fertilizer-pred", "kernel_id": "85390341"}, {"ref": "mr0106/fertilizerai-pro", "kernel_id": "85644703"}, {"ref": "mr0106/fertioptima", "kernel_id": "85743960"}, {"ref": "mr0106/fertiai", "kernel_id": "85835069"}, {"ref": "mr0106/fertigenius", "kernel_id": "85876117"}, {"ref": "mr0106/agriboost", "kernel_id": "85870139"}, {"ref": "mr0106/optifertml", "kernel_id": "85562861"}, {"ref": "mr0106/fertioptimaml", "kernel_id": "85621615"}, {"ref": "mr0106/fertiboostml", "kernel_id": "85576721"}, {"ref": "migrantworkerdatahub/cpu-ram-gpu-ram-hybrid-ensemble", "kernel_id": "85840850"}, {"ref": "vh10935cse20/catboost-vs-lgbm-2-optimal-fertilizer-prediction", "kernel_id": "85278043"}, {"ref": "vh10935cse20/random-forest-hypertuning-optimal-fertilizer", "kernel_id": "85106478"}, {"ref": "vh10935cse20/catboost-vs-lgbm-optimal-fertilizer-prediction", "kernel_id": "85104106"}, {"ref": "vh10935cse20/randomforest-model-optimal-fertilizer-prediction", "kernel_id": "85043944"}, {"ref": "livaikira/predicting-optimal-fertilizers", "kernel_id": "85297787"}, {"ref": "neupane9sujal/hill-climbing", "kernel_id": "85740655"}, {"ref": "yangfa/lunax-playground-series-s5e6-2", "kernel_id": "85242076"}, {"ref": "gustavonishikawa/playground-s5-e6", "kernel_id": "85580680"}, {"ref": "ayushchandramaurya/predicting-fertilizer-name-stacking-ensemble", "kernel_id": "85451742"}, {"ref": "ayushchandramaurya/predicting-fertilizer-stacking-continued", "kernel_id": "85966262"}, {"ref": "jaydeepvaishya/predicting-best-fertilizers", "kernel_id": "85510805"}, {"ref": "jaydeepvaishya/notebookd52615bc16", "kernel_id": "85550506"}, {"ref": "jaydeepvaishya/notebook3fe44ea909", "kernel_id": "85599156"}, {"ref": "mohamedhassan77/fertilizer-forecasting-tree-based-ensemble", "kernel_id": "85115727"}, {"ref": "mohamedhassan77/predicting-optimal-fertilizers", "kernel_id": "85000199"}, {"ref": "mohamedhassan77/tree-based-ensemble", "kernel_id": "85869014"}, {"ref": "udaykanchanpally/predicting-with-interactive-eda-and-boosting", "kernel_id": "85030901"}, {"ref": "vinodkumargurjar/predicting-optimal-fertilizers-a-beginner-s-guide", "kernel_id": "85327406"}, {"ref": "chiranjeevimchiru/predict-fertilizer-lgbm-optuna", "kernel_id": "85374233"}, {"ref": "shivanshvoid/predicting-optimal-fertilizers-using-catboost", "kernel_id": "85873950"}, {"ref": "javenn/ensemble-rf-lgbm-xgb-baseline", "kernel_id": "85743802"}, {"ref": "javenn/ensemble-rf-lgbm-xgb-parameter-tuning", "kernel_id": "85743684"}, {"ref": "lizzylee1111111111/single-xgb-original-dataset-only", "kernel_id": "85536001"}, {"ref": "abdulwadood11220/optimal-fertiler-predicrtion", "kernel_id": "85146267"}, {"ref": "palfig/hill-climbing", "kernel_id": "85435659"}, {"ref": "umeshk10/predicting-optimal-fertilizers", "kernel_id": "85165316"}, {"ref": "engineerfrabbi/predicting-optimal-fertilizers-v", "kernel_id": "85329999"}, {"ref": "geethasagarbonthu/interaction-features", "kernel_id": "85928100"}, {"ref": "moonfaced/fertilizer", "kernel_id": "85045694"}, {"ref": "adityaghai01/deep-learning-with-best-ensembles-0-38161", "kernel_id": "85754731"}, {"ref": "adityaghai01/genetic-algorithm-ensemble-0-38259", "kernel_id": "85864345"}, {"ref": "egorandreasyan/optimal-fertilizers-eda-model-selection", "kernel_id": "85163857"}, {"ref": "botaylaamin/fertiilizer-prediction", "kernel_id": "85042706"}, {"ref": "xenowing/xgboost-randomsearc", "kernel_id": "85956645"}, {"ref": "abdmental01/baseline-predicting-optimal-fertilizers", "kernel_id": "85121065"}, {"ref": "hahahaj/single-xgb", "kernel_id": "85308816"}, {"ref": "solomonajaero/optimal-fertilizer-prediction", "kernel_id": "85232376"}, {"ref": "mohameddrabo/predicting-optimal-fertilizers-lgmb", "kernel_id": "85153747"}, {"ref": "noeldin25/fertilizers-eda-feature-engineering", "kernel_id": "85195006"}, {"ref": "pirhosseinlou/single-model-xgb", "kernel_id": "85007101"}, {"ref": "bahridgr/fertilizer-prediction-kaggle-competition", "kernel_id": "85227577"}, {"ref": "kapilsuara05/predicting-optimal-fertilizers", "kernel_id": "85438472"}, {"ref": "yteshima/ps5s6-simple-dashboard-and-xgboost-et-al", "kernel_id": "85145290"}, {"ref": "rafaelgeder/fertilizer-recommendation-xgboost-0-3407", "kernel_id": "85461190"}, {"ref": "rafaelgeder/numerical-or-categorical-testing-feature-encoding", "kernel_id": "85468893"}, {"ref": "palvinder2006/fertilizer-prediction-lgb-optuna", "kernel_id": "85280148"}, {"ref": "shubhamveer/all-you-need-to-know-about-fertilizers-explore", "kernel_id": "85322255"}, {"ref": "jupyter2024/predicting-optimal-fertilizers-baseline-v1", "kernel_id": "85155146"}, {"ref": "dzulfikrialwi/predicting-optimal-fertilizers", "kernel_id": "85641236"}, {"ref": "hadibadami/0-34336-fertilizer-prediction", "kernel_id": "85205870"}, {"ref": "vynlz63/hex-optuna-xgb-tab-s5e6", "kernel_id": "85724774"}, {"ref": "vynlz63/tab-s5e6-hexagone-2f92fb", "kernel_id": "85199706"}, {"ref": "sakhawathossen/predicting-optimal-fertilizers-with-ml", "kernel_id": "85017380"}, {"ref": "elnazalikarami/predicting-optimal-fertilizer", "kernel_id": "85631418"}, {"ref": "rosebeltran/ps0506-fertilizer-xgboost-analysis", "kernel_id": "85543207"}, {"ref": "rosebeltran/ps0506-simple-catboost-analysis", "kernel_id": "85474505"}, {"ref": "vikaskumarram/playground-s5e6-xgboost-map3-0-3734", "kernel_id": "85151197"}, {"ref": "turakut/fertilizer-recommendation-engine-stacked-ensemble", "kernel_id": "85089152"}, {"ref": "sheemamasood/optimal-fertilizer-prediction", "kernel_id": "85694547"}, {"ref": "feifeifei111/notebookc436ddc591", "kernel_id": "85430145"}, {"ref": "cartoonistbeard/ps5e6-xgb-score-0-38135", "kernel_id": "85648939"}, {"ref": "qifeihhh666/something-be-careful", "kernel_id": "85726579"}, {"ref": "qifeihhh666/predicting-optimal-fertilizers", "kernel_id": "85540212"}, {"ref": "michaelrowen/s5e6-lfmrecommender-baseline", "kernel_id": "85876401"}, {"ref": "michaelrowen/s5e6-lb-0-345-xgb-baseline", "kernel_id": "85186436"}, {"ref": "jaxa623/single-xgb", "kernel_id": "85780792"}, {"ref": "jaxa623/hill-climbing-0-38298", "kernel_id": "85780429"}, {"ref": "michport/predicting-optimal-fertilizers", "kernel_id": "85419092"}, {"ref": "hbugrae/blending-submissions-a-cluster-averaging-approach", "kernel_id": "85672768"}, {"ref": "shriyanshforwork/model-stacking-for-prediction", "kernel_id": "85162719"}, {"ref": "shriyanshforwork/predicting-top-3-fertilizers", "kernel_id": "85056863"}, {"ref": "robertlorenz/s05e06-optimal-fertilizers-eda", "kernel_id": "85230625"}, {"ref": "robertlorenz/s05e06-xgb-eda-of-original-dataset", "kernel_id": "85561906"}, {"ref": "robertlorenz/s05e06-xgb-parameter-eval-using-bayesianopt", "kernel_id": "85552380"}, {"ref": "robertlorenz/s05e06-basic-xgb-with-k-fold-cv", "kernel_id": "85513865"}, {"ref": "robertlorenz/s05e06-pytorch-nn", "kernel_id": "85724287"}, {"ref": "amankhurana1710/fertilizer-prediction", "kernel_id": "85648555"}, {"ref": "ykawakita/collection-of-potentially-useful-datasets", "kernel_id": "85177201"}, {"ref": "ashraf989/optimal-fertilizers", "kernel_id": "85924775"}, {"ref": "umarabdulalim/optimal-fertilizer-with-neural-networks-keras", "kernel_id": "85094246"}, {"ref": "chikonzeroselemani/ps-s5e6-ensemble", "kernel_id": "85535992"}, {"ref": "alexis1663/tab-s5e6-hexagone-1dbd51", "kernel_id": "85197573"}, {"ref": "alexis1663/tab-s5e6-hexagone-717ffa", "kernel_id": "85253158"}, {"ref": "alexis1663/tab-s5e6-hexagone-e53d10", "kernel_id": "85654228"}, {"ref": "alexis1663/hex-optuna-xgb-tab-s5e6", "kernel_id": "85724887"}, {"ref": "anshulsingh19/optimal-fertilizer-xgboost-map-3", "kernel_id": "85144833"}, {"ref": "errorcoder/dnn-for-predicting-fertilizers", "kernel_id": "85033461"}, {"ref": "hibikiyasuda/assemble", "kernel_id": "85796011"}, {"ref": "yashsahu02/predicting-optimal-fertilizers-s5e6-eda-fe", "kernel_id": "85565848"}, {"ref": "manilmodi/xgboost-demo", "kernel_id": "85922429"}, {"ref": "shripaddhas/notebook1e3c2d1832", "kernel_id": "85318068"}, {"ref": "ishitaganatra/optimal-fertilizers-prediction", "kernel_id": "85608666"}, {"ref": "abhisheksinha01111/fertilizerprediction", "kernel_id": "85478360"}, {"ref": "daniyalbissenov/predicting-optimal-fertilizers", "kernel_id": "85876617"}, {"ref": "devanshkumarverma/model", "kernel_id": "85957176"}, {"ref": "imantsdolgins/optimal-fertilizers-s5e6-xgb-cb-metamodels", "kernel_id": "85256539"}, {"ref": "sepi0l1/ensemble-lgbm-xgboost-submission-score-0-3394", "kernel_id": "85061114"}, {"ref": "theonetheonly/fork-of-ttmodel", "kernel_id": "85019451"}, {"ref": "moridata/xgboost-predicting-optimal-fertilizers", "kernel_id": "85866169"}, {"ref": "didartulegen/se5ep6", "kernel_id": "85426671"}, {"ref": "vedeshp/opt-fert-rscv-diff-models-fixed", "kernel_id": "85865411"}, {"ref": "vedeshp/opt-fert-xgb-rscv", "kernel_id": "85849699"}, {"ref": "chengyannng/eda-data-but-looks-funny", "kernel_id": "85150691"}, {"ref": "wafaaalayoubi/logistic-random-forest-xgboost-lightgbm-catboost", "kernel_id": "85254545"}, {"ref": "hns2611/predictions-using-xgbtree-in-r", "kernel_id": "85455246"}, {"ref": "patrykszcz/xgboost-quartet-ensemble-hill-climbing", "kernel_id": "85135589"}, {"ref": "patrykszcz/stacking-model-using-lr", "kernel_id": "85865013"}, {"ref": "patrykszcz/hc-6-models-4-xgb-2-lgb", "kernel_id": "85802617"}, {"ref": "elihaciyev/simple-eda-lightgbm-gpu", "kernel_id": "85757779"}, {"ref": "elihaciyev/lightgbm-x5-ensemble-power", "kernel_id": "85947927"}, {"ref": "mahmoudehab6677/optimal-fertilizers-prediction", "kernel_id": "85246158"}, {"ref": "sameerhandsome1234/only-xgb", "kernel_id": "85083907"}, {"ref": "sameerhandsome1234/stack-voting", "kernel_id": "85142828"}, {"ref": "mahoganybuttstrings/pg-s5e6-xgbx3-cv-0-37049-lb-0-37228", "kernel_id": "85010057"}, {"ref": "mohamedzakaria91/notebookb1090f426c", "kernel_id": "85475530"}, {"ref": "alonzoulery/best-fertilizer-attempt-one", "kernel_id": "85295577"}, {"ref": "hiessie/predicting", "kernel_id": "85568414"}, {"ref": "bequeit/note-ver-1", "kernel_id": "85605667"}, {"ref": "qscwzm92/neural-predicting-optimal-fertilizer", "kernel_id": "85643871"}, {"ref": "camilochart/optimal-fertilizers-simple-random-forest", "kernel_id": "85382584"}, {"ref": "abbasi1214/predicting-optimal-fertilizer", "kernel_id": "85469574"}, {"ref": "alexlmz/2024423310124", "kernel_id": "85961880"}, {"ref": "richardjana/multi-output-regression-euclidean-matching", "kernel_id": "85787820"}, {"ref": "yhlhfltjy/single-xgb", "kernel_id": "85421766"}, {"ref": "ryvhii/notebook7e21b0dac6", "kernel_id": "85423649"}, {"ref": "hearuzj/ps0506-simple-catboost-analysis", "kernel_id": "85943937"}, {"ref": "ponyliu55/optimal-fertilizers-prediction", "kernel_id": "85602132"}, {"ref": "vedantsingh5054/neuralstyletransfer", "kernel_id": "85631240"}, {"ref": "piyushkashyap650/optimal-fertilizer-playground", "kernel_id": "85167496"}, {"ref": "trisanudas/notebooka5af79cc73", "kernel_id": "85089051"}, {"ref": "royerelvis/granja", "kernel_id": "85291745"}, {"ref": "godfather123456/xgboost-notebook-1", "kernel_id": "85283878"}, {"ref": "iseedeep/s5e6-lightgbm-eda-with-deeprage", "kernel_id": "85581653"}, {"ref": "shamanthakreddymallu/fertilizer-prediction", "kernel_id": "85182597"}, {"ref": "sedattun/playground", "kernel_id": "85228162"}, {"ref": "sedattun/playground-s6-e6", "kernel_id": "85615905"}, {"ref": "oguztoy/predictfertilizers", "kernel_id": "85872715"}, {"ref": "huihungchen0606/fetilizer-xg-cat-ensemble", "kernel_id": "85918215"}, {"ref": "hugorochellespam/hex-optuna-xgb-tab-s5e6", "kernel_id": "85724679"}, {"ref": "kylian123/hex-optuna-xgb-tab-s5e6", "kernel_id": "85793408"}, {"ref": "abhinavjain2000/predicting-optimal-fertilizers-eda", "kernel_id": "85610704"}, {"ref": "khai42/eda-and-transformation-of-optimal-fertilizers", "kernel_id": "85849748"}, {"ref": "justushelo/xgboosted-fertilizers", "kernel_id": "85425757"}, {"ref": "sushmachilakala/predicting-top-3-fertilizers-using-xgboost-model", "kernel_id": "85897060"}, {"ref": "waelhasan111/fertilizer-ensemble-nn-xgboost-random-0-310", "kernel_id": "85122911"}, {"ref": "sadiashahidlatif/predicting", "kernel_id": "85152116"}, {"ref": "ramananrathu/notebook60216fead9", "kernel_id": "85125910"}, {"ref": "daniuedkevin/xgboost-fertilizer-model", "kernel_id": "85569349"}, {"ref": "daniuedkevin/evaluation-metrics-for-multi-class-classification", "kernel_id": "85547537"}, {"ref": "ayshathikra/fertilizer-prediction-with-custom-random-forest", "kernel_id": "85496090"}, {"ref": "wangxinyang12/notebook8eecd99fe4", "kernel_id": "85623767"}, {"ref": "yogendrabs/optimial-fertilizer", "kernel_id": "85670161"}, {"ref": "hijabzahra8/felrtilzer", "kernel_id": "85973131"}, {"ref": "agazie/fertilizerprediction", "kernel_id": "85756000"}, {"ref": "tomy00/predicting-optimal-fetilizer", "kernel_id": "85122952"}, {"ref": "sachin62/xgb-fertilizer", "kernel_id": "85320804"}, {"ref": "mizzn0/aai2025-final-visualization", "kernel_id": "85704110"}, {"ref": "mizzn0/aai2025-final-en", "kernel_id": "85869442"}, {"ref": "visithanrajapaksha/predicting-optimal-fertilizers", "kernel_id": "85778311"}, {"ref": "visithanrajapaksha/optimal-f-p-v2", "kernel_id": "85851175"}, {"ref": "visithanrajapaksha/optimal-f-p-v3", "kernel_id": "85879505"}, {"ref": "nina2025/ensemble-of-top-4-public-solutions-part-4-7-9", "kernel_id": "85577890"}, {"ref": "nina2025/ensemble-of-top-4-public-solutions-part-3-5-8", "kernel_id": "85518625"}, {"ref": "nina2025/ensemble-of-top-4-public-solutions", "kernel_id": "85208220"}, {"ref": "nina2025/blend-of-submissions-final", "kernel_id": "85854245"}, {"ref": "nina2025/blend-of-submissions-semi-final-1", "kernel_id": "85853907"}, {"ref": "nina2025/blend-of-submissions-semi-final-2", "kernel_id": "85853845"}, {"ref": "danilerofeev/xgboost", "kernel_id": "85501385"}, {"ref": "abdulrahmanqaten/fertilizers-lightgbm", "kernel_id": "85649584"}, {"ref": "abdulrahmanqaten/predicting-optimal-fertilizers-second-solve", "kernel_id": "85411527"}, {"ref": "abdulrahmanqaten/predicting-optimal-fertilizers-third-solve", "kernel_id": "85508748"}, {"ref": "abdulrahmanqaten/predicting-optimal-fertilizers-forth-solve", "kernel_id": "85518481"}, {"ref": "nishu65/predict-fertilizer", "kernel_id": "85434792"}, {"ref": "mileshow/simple-rule-engine", "kernel_id": "85692970"}, {"ref": "mileshow/random-forest", "kernel_id": "85685279"}, {"ref": "mileshow/lightgbm-instrumental", "kernel_id": "85526563"}, {"ref": "mileshow/minimalist-optuna", "kernel_id": "85515854"}, {"ref": "antoniyaatanasova/dynamic-cluster-averaging-0-38261", "kernel_id": "85787854"}, {"ref": "donnaglassbrenner/fertilizer-recommendations", "kernel_id": "85428038"}, {"ref": "sandeeprkumar/data-cleaning-python", "kernel_id": "85252092"}, {"ref": "marwanehosni/predicting-opt-fertilizers-eda-fe-and-modeling", "kernel_id": "85123110"}, {"ref": "whalebaixun/fertilizer2", "kernel_id": "85560984"}, {"ref": "whalebaixun/fertilizer", "kernel_id": "85089865"}, {"ref": "yvx016/2024423320129", "kernel_id": "85862508"}, {"ref": "vectorgradient/predicting-optimal-fertilizers-vg-1", "kernel_id": "85142273"}, {"ref": "xiewenwei29/2024423310220", "kernel_id": "85751121"}, {"ref": "wasdf25588/notebookaf-2", "kernel_id": "85655178"}, {"ref": "cccsssf/fertilizer-prediction", "kernel_id": "85552574"}, {"ref": "aixcanor/2024423320127", "kernel_id": "85925401"}, {"ref": "zhetttt/2024423320128", "kernel_id": "85935065"}, {"ref": "zhihaohuan/2024423310208", "kernel_id": "85840516"}, {"ref": "jaytsang/2024423310227", "kernel_id": "85929346"}, {"ref": "cccgxx/fertilizer-beta", "kernel_id": "85598317"}, {"ref": "perryzhang14532/12345", "kernel_id": "85866831"}, {"ref": "edwardjohnwashins/notebook", "kernel_id": "85722120"}, {"ref": "yinghualengyue/2024423310103", "kernel_id": "85656931"}, {"ref": "whr0410/notebook10206ac7e6", "kernel_id": "85880436"}, {"ref": "yk120951/notebook324d40e5b2", "kernel_id": "85857018"}, {"ref": "kevindesuwa/notebook49654bfad7", "kernel_id": "85940848"}, {"ref": "titericz/single-xgboost-0-3808", "kernel_id": "86169582"}, {"ref": "lequanghai/playgrounds05e06-eda-and-baseline-029235", "kernel_id": "86116532"}, {"ref": "hinemos/17th-robust-fold-wise-hc-lb-0-38435-cv-0-3836", "kernel_id": "86175601"}, {"ref": "hinemos/evolutionary-ensemble-cv-0-38345-lb-0-38333", "kernel_id": "86051617"}, {"ref": "abhishek9909/attempt-xgb-with-feature-engineering", "kernel_id": "86025695"}, {"ref": "kkhandekar/optimal-fertilizer-pred-adaboost-w-randomforest", "kernel_id": "86095483"}, {"ref": "faniakritidoy/optimal-fertilizer", "kernel_id": "86273517"}, {"ref": "leonchani/11-baseline-predict-introverts-or-extroverts", "kernel_id": "86527413"}, {"ref": "leonchani/01-only-eda-predict-introverts-or-extroverts", "kernel_id": "86327256"}, {"ref": "kwakubonsuwiredu/multiple-models", "kernel_id": "86281720"}, {"ref": "federicopperez/playground-series-xgboost", "kernel_id": "86101907"}, {"ref": "mohammedammaruddin/playgrounds5e6-xgb-and-external-data", "kernel_id": "86044182"}, {"ref": "alihaiderahmad/catboost-cv-37-4", "kernel_id": "86158343"}, {"ref": "nickzhilsky/catboost", "kernel_id": "86072405"}, {"ref": "mr0106/agroboost-pro", "kernel_id": "86051953"}, {"ref": "mr0106/fertigeniuspro", "kernel_id": "86039780"}, {"ref": "mr0106/fertigenius-pro", "kernel_id": "86028461"}, {"ref": "lekhatopil/predicting-optimal-fertilizers-xgboost-lightgbm", "kernel_id": "86140480"}, {"ref": "hsianglioujiao/suddenly-saw-this-playground-fertilizer", "kernel_id": "86102758"}, {"ref": "anand6450/play-ground-2", "kernel_id": "86079020"}, {"ref": "anand6450/playground-1", "kernel_id": "86077533"}, {"ref": "pratiksingh668/predicting-optimal-fertilizers-score-0-33378", "kernel_id": "86005783"}, {"ref": "jaydeepvaishya/in-depth-approach-with-visualizations", "kernel_id": "86066125"}, {"ref": "chiranjeevimchiru/s5e6-fertilizer-prediction-xgb-v2", "kernel_id": "86039241"}, {"ref": "muhammadyounasdf/crop-fertilizer", "kernel_id": "86014386"}, {"ref": "nikita7364777/6-5-lb-0-37835-xgb-lightgbm-catboost", "kernel_id": "86118561"}, {"ref": "omerabdelmoneim/predicting-fertilizer", "kernel_id": "86097468"}, {"ref": "younusmohamed/60-03-purely-xgb", "kernel_id": "86144581"}, {"ref": "adityaghai01/hill-climb-with-more-ensembles-0-38298", "kernel_id": "86063191"}, {"ref": "michael1o2/fertiizerpredictor", "kernel_id": "86033578"}, {"ref": "pirhosseinlou/single-model-xgb-v3", "kernel_id": "86047855"}, {"ref": "poojapbabar/predicating-optimal-fertilizers", "kernel_id": "86041693"}, {"ref": "SrijanSiddharth/predicting-optimal-fertilizers-xgboost-baseline", "kernel_id": "86094064"}, {"ref": "jaxa623/xgboost-repeatedstratifiedkfold-s5e7", "kernel_id": "86168655"}, {"ref": "jaxa623/hill-climbing-s5e7", "kernel_id": "86179813"}, {"ref": "jaxa623/0-38357-blend-of-submissions-final-1", "kernel_id": "86099224"}, {"ref": "jaxa623/optimal-fertilizers-eda-playground-0-38265", "kernel_id": "86054812"}, {"ref": "jaxa623/xgboost-repeatedstratifiedkfold", "kernel_id": "86033356"}, {"ref": "jaxa623/hill-climbing-0-38001", "kernel_id": "86032555"}, {"ref": "numitasahu/predicting-optimal-fertilizers-solution", "kernel_id": "86107392"}, {"ref": "samasiayushman/mode-of-5-model-0-38336-score", "kernel_id": "86098693"}, {"ref": "mkanevskii/notebookd96989cf26", "kernel_id": "86091567"}, {"ref": "omarsalah123/xgboost-submission", "kernel_id": "86091210"}, {"ref": "vijayaragulvr/fertilizer-classification-model", "kernel_id": "86080730"}, {"ref": "amitsahu01234/soil-fertilization-predictor", "kernel_id": "86106439"}, {"ref": "erickaeregbu/ps-s5-ep6-fertilizer-prediction-e2-v4", "kernel_id": "86084287"}, {"ref": "vedeshp/opt-fert-rscv-diff-models-fixed-offline", "kernel_id": "86107942"}, {"ref": "patrykszcz/9th-place-solution-my-approach", "kernel_id": "86137354"}, {"ref": "jihongyan/predicting-optimal-fertilizers-librecommender", "kernel_id": "86595308"}, {"ref": "elihaciyev/plotting-like-pro-eda", "kernel_id": "86239264"}, {"ref": "opbashar/fertilizer-prediction-with-randomforestclassifier", "kernel_id": "86077507"}, {"ref": "dgutyjj/notebook76e62db17b", "kernel_id": "86068165"}, {"ref": "dgutyjj/notebookaefbfbda40", "kernel_id": "86077912"}, {"ref": "vedanshtyagi2451/predicting-optimal-fertilizer", "kernel_id": "86596006"}, {"ref": "chiragshirsath7/fertilizer-eda-and-prediction", "kernel_id": "86392747"}, {"ref": "yaoxiangyin/notebook1d1e0e8cb8", "kernel_id": "86078870"}, {"ref": "hekunye/notebook029904fa4f", "kernel_id": "86079062"}, {"ref": "hekunye/notebookd7cb1be6c8", "kernel_id": "86077882"}, {"ref": "denghaoq/single-model-xgb-v3", "kernel_id": "86060091"}, {"ref": "xwc007/notebook4b5eb42a50", "kernel_id": "86068097"}, {"ref": "xwc007/notebookee72e95757", "kernel_id": "86069272"}, {"ref": "nanipro/notebook1a9d2c6f84", "kernel_id": "86079577"}, {"ref": "dguthyh/butterpredicting", "kernel_id": "86126855"}, {"ref": "dguthyh/fertilizer-prediction-with-randomforestclassifier", "kernel_id": "86120135"}, {"ref": "mah20050/notebook-r-my-pred-6", "kernel_id": "86341880"}, {"ref": "aashitarai/ml-kaggle-fertilizer-model-aashita", "kernel_id": "86035464"}, {"ref": "piyushkashyap650/dl-for-fertizer-prediction", "kernel_id": "86565186"}, {"ref": "lzero123/123456", "kernel_id": "86017930"}, {"ref": "griseosuki/notebookb606e04c68", "kernel_id": "86079518"}, {"ref": "griseosuki/notebooka47d6e8413", "kernel_id": "86079006"}, {"ref": "griseosuki/notebookd548633686", "kernel_id": "86078618"}, {"ref": "griseosuki/notebook94bd188471", "kernel_id": "86058611"}, {"ref": "raju04/notebook42b5e2dbd1", "kernel_id": "86135156"}, {"ref": "sachacomte02/eda-prediction-fertilization", "kernel_id": "86939336"}, {"ref": "ayushgarg240406/beginnernotebookforlearning", "kernel_id": "86038057"}, {"ref": "mustafaammarr/playground-1", "kernel_id": "86093947"}, {"ref": "nicolassfrana/notebooke850beb7e2", "kernel_id": "86097372"}, {"ref": "ayshathikra/predicting-optimal-fertilizers-season-5-epi-06", "kernel_id": "86129615"}, {"ref": "kopikkahmylvaganam/predicting-fertilizer-compe", "kernel_id": "86134307"}, {"ref": "kopikkahmylvaganam/predicting-optimalfertilizers-final", "kernel_id": "86191851"}, {"ref": "nirmikalingarajah/predicting-fertilizer-analysis-eda-part", "kernel_id": "86113950"}, {"ref": "zhongsir86/2024423310132", "kernel_id": "86061403"}, {"ref": "zhongsir86/2024423310106", "kernel_id": "86060774"}, {"ref": "zhongsir86/2024423310122-1", "kernel_id": "86077172"}, {"ref": "zhongsir86/notebook62f1a97bb1", "kernel_id": "86079587"}, {"ref": "mizzn0/fork-of-aai2025-final-visualization", "kernel_id": "86547179"}, {"ref": "donnaglassbrenner/tuning-the-xgb-classifier", "kernel_id": "86073936"}, {"ref": "donnaglassbrenner/tuning-the-xgb-classifier-with-the-supplemental-d", "kernel_id": "86125120"}, {"ref": "jaydenjurianto/fertilizer-prediction-with-boosting-ensemble", "kernel_id": "86124008"}, {"ref": "whalebaixun/notebook008e0d882e", "kernel_id": "86054678"}, {"ref": "whalebaixun/notebook1d1fdde03a", "kernel_id": "86084174"}, {"ref": "yvx016/notebooke764fb4ccc", "kernel_id": "86065180"}, {"ref": "yvx016/2024423320126notebook4ec8982aaf", "kernel_id": "86066151"}, {"ref": "yvx016/notebookd5a3727248", "kernel_id": "86059223"}, {"ref": "yvx016/notebook6d41958bd5", "kernel_id": "86059550"}, {"ref": "yvx016/2024423320110", "kernel_id": "86058951"}, {"ref": "yvx016/notebook2df3e97801", "kernel_id": "86018003"}, {"ref": "yvx016/2024423320127", "kernel_id": "86068841"}, {"ref": "yvx016/2024423320114", "kernel_id": "86066220"}, {"ref": "yvx016/2024423320112", "kernel_id": "86071677"}, {"ref": "yvx016/notebook6131cfa352", "kernel_id": "86074635"}, {"ref": "wasdf25588/notebookjbt", "kernel_id": "86332376"}, {"ref": "wasdf25588/notebookcyz1", "kernel_id": "86066137"}, {"ref": "wasdf25588/notebookcyh", "kernel_id": "86017957"}, {"ref": "wasdf25588/notebookwsj", "kernel_id": "86084833"}, {"ref": "wasdf25588/notebooksx", "kernel_id": "86070771"}, {"ref": "aixcanor/2024423320202-predicting-optimal-fertilizers", "kernel_id": "86072226"}, {"ref": "aixcanor/notebook5f6f991585", "kernel_id": "86077870"}, {"ref": "aixcanor/notebook726f69a2cf", "kernel_id": "86083790"}, {"ref": "aixcanor/2024423320202", "kernel_id": "86060899"}, {"ref": "zhetttt/ghfllll", "kernel_id": "86078639"}, {"ref": "zhetttt/wbssss", "kernel_id": "86081410"}, {"ref": "zhetttt/hyccc", "kernel_id": "86081677"}, {"ref": "zhetttt/jxxxx", "kernel_id": "86082122"}, {"ref": "zihengchan/11111", "kernel_id": "86042639"}, {"ref": "littlemouz/notebookfaaeae0063", "kernel_id": "86007236"}, {"ref": "littlemouz/notebooka3f95555b5", "kernel_id": "86079021"}, {"ref": "tetertr/notebook6b6beea2ad", "kernel_id": "86083647"}, {"ref": "jaytsang/2024423310209", "kernel_id": "86035777"}, {"ref": "lirongkun/2024423310212", "kernel_id": "86020085"}, {"ref": "lingmingjay/2024423320229", "kernel_id": "86040983"}, {"ref": "perryzhang14532/notebook2354b1cf1f", "kernel_id": "86032958"}, {"ref": "edwardjohnwashins/notebook50a53b7b15", "kernel_id": "86039937"}, {"ref": "edwardjohnwashins/notebookc4linhuanran", "kernel_id": "86029806"}, {"ref": "wuchen123/2024423310106", "kernel_id": "86030812"}, {"ref": "wuchen123/dfghjkl", "kernel_id": "86065775"}, {"ref": "llnhnv/predicting-optimal-fertilizers", "kernel_id": "86043909"}, {"ref": "hunchh/123456", "kernel_id": "86081655"}, {"ref": "hunchh/notebook", "kernel_id": "86071782"}, {"ref": "doctorwang8582/2024423310215", "kernel_id": "86085110"}, {"ref": "doctorwang8582/2024423310221", "kernel_id": "86085486"}, {"ref": "doctorwang8582/predicting-optimal-2024423310221", "kernel_id": "86085801"}, {"ref": "doctorwang8582/2024423310232", "kernel_id": "86068881"}, {"ref": "doctorwang8582/2024423310217", "kernel_id": "86020173"}, {"ref": "og7526/notebook8b1db4f9f5", "kernel_id": "86083672"}, {"ref": "wwwwii00/notebook7e424dd692", "kernel_id": "86070362"}, {"ref": "chuengk/notebookce9174d639", "kernel_id": "86070776"}, {"ref": "chuengk/notebook423433b135", "kernel_id": "86079858"}, {"ref": "yyyemin/notebookaf1db2ff63", "kernel_id": "86024618"}, {"ref": "lkz233/predicting-optimal-fertilizers", "kernel_id": "86076003"}, {"ref": "lkz233/liujunxing", "kernel_id": "86085983"}, {"ref": "lkz233/notebook7f784a83c7", "kernel_id": "86085613"}, {"ref": "lkz233/notebook1a23cae6c3", "kernel_id": "86083192"}, {"ref": "pordonz/notebookef8c575bee", "kernel_id": "86068611"}, {"ref": "pordonz/optimal-fertilizers-prediction", "kernel_id": "86066915"}, {"ref": "yan15992345/notebook286f209de5", "kernel_id": "86033190"}, {"ref": "mingkai123/notebook", "kernel_id": "86003764"}, {"ref": "mingkai123/notebook60f45901b0", "kernel_id": "86080579"}, {"ref": "yehhua001/2024423310128", "kernel_id": "86058156"}, {"ref": "xinslm/feiliaopaopaopao", "kernel_id": "86075269"}, {"ref": "xinslm/notebook432b7571c1", "kernel_id": "86080405"}, {"ref": "xinslm/2024423320231", "kernel_id": "86084653"}, {"ref": "woshichenyanyan/2024423310109", "kernel_id": "86020675"}, {"ref": "woshichenyanyan/2024423310115", "kernel_id": "86070415"}, {"ref": "woshichenyanyan/2024423310110", "kernel_id": "86070086"}, {"ref": "walqywn/2024423320220", "kernel_id": "86085633"}, {"ref": "lll2024423320219/notebook1f3ceddcec", "kernel_id": "86075049"}, {"ref": "chenhao7123/notebook140c0fb696", "kernel_id": "86057621"}, {"ref": "chenhao7123/notebooke2bf7a6aa3", "kernel_id": "86069892"}, {"ref": "zlbblz/zlbblz", "kernel_id": "86021232"}, {"ref": "chenxianshen123/guanwangcheng1", "kernel_id": "86068681"}, {"ref": "chenxianshen123/huangyao1", "kernel_id": "86071536"}, {"ref": "chenxianshen123/chenxianshen1", "kernel_id": "86072499"}, {"ref": "xmh555/41502", "kernel_id": "86057811"}, {"ref": "xmh555/2024423310218", "kernel_id": "86024000"}, {"ref": "acccc114514/finaljob", "kernel_id": "86076611"}, {"ref": "a2791899290/notebooka113dba205", "kernel_id": "86075003"}, {"ref": "changanananan/notebook529c0b8a88", "kernel_id": "86030085"}, {"ref": "fufustory/2024423310127", "kernel_id": "86054987"}, {"ref": "fufustory/2024423310-130", "kernel_id": "86078013"}, {"ref": "fufustory/z-x-j", "kernel_id": "86075252"}, {"ref": "fufustory/notebookd622c86797", "kernel_id": "86075570"}, {"ref": "luhongyu1010/notebookqiang", "kernel_id": "86074198"}, {"ref": "sheepsleep/fork-of-notebook3760d7f961", "kernel_id": "87500046"}, {"ref": "mert0afacan/optimal-fertilizers", "kernel_id": "87567143"}, {"ref": "dureyashfeen/predicting-optimal-fertilizers", "kernel_id": "87152731"}, {"ref": "rajgupta987/predicting-fertilizer", "kernel_id": "87960496"}, {"ref": "rajgupta987/optimal-fertilizer", "kernel_id": "87737628"}, {"ref": "danielgurwindas/predicting-optimal-fertilizers", "kernel_id": "88135571"}, {"ref": "amldvvs/optimal-fertilizers-catboost", "kernel_id": "88204545"}, {"ref": "ayshathikra/multi-class-gradient-boosting", "kernel_id": "88590290"}, {"ref": "kopikkahmylvaganam/eda-final-fertilizerprediction", "kernel_id": "88685213"}, {"ref": "maita27/predicting-optimal-fertilizers", "kernel_id": "88672373"}, {"ref": "antonglushko1/notebook08a9341780", "kernel_id": "89412953"}, {"ref": "nirmikalingarajah/fertilizer-project-model-exclude-eda", "kernel_id": "89256417"}, {"ref": "notzeko/fertilizer", "kernel_id": "89650808"}, {"ref": "arayzwasti/predicting-optimal-fertilizers", "kernel_id": "89672792"}, {"ref": "emrullahyediyildiz/predicting-optimal-fertilizers", "kernel_id": "90368758"}, {"ref": "pavelalimov/ml-course-task1-clustering", "kernel_id": "92909219"}, {"ref": "santspavan/fertilizers-predicts-php", "kernel_id": "92694536"}, {"ref": "kevinzma/s5e6-data-analysis", "kernel_id": "92027119"}, {"ref": "kevinzma/s5e6-lr", "kernel_id": "92026662"}, {"ref": "anirudhsharmaml/fertilizer-prediction-with-lgb", "kernel_id": "93093108"}, {"ref": "thuandao/predicting-optimal-fertilizers-eda-ml", "kernel_id": "94959668"}, {"ref": "sshhaikvtai000/project-2", "kernel_id": "95129152"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "leyuzakoksoken/optimal-fertilizer-recommendation-system", "kernel_id": "108279296"}, {"ref": "evgendvorkin/raw-xgb-privat-0-34094", "kernel_id": "114573281"}, {"ref": "omeraydin1/fertilizer-name-dl-classification", "kernel_id": "115330993"}, {"ref": "zqx960151285/predicting-optimal-fertilizers", "kernel_id": "129498951"}]}
{"competition_id": "91718", "kernels": [{"ref": "priyanshu594/s5e5-eda-with-plotly", "kernel_id": "84278361"}, {"ref": "snehalkhandewale/extrovert-vs-introvert-eda", "kernel_id": "84290128"}, {"ref": "priyanshu594/indepth-eda-house-prices", "kernel_id": "85278108"}, {"ref": "priyanshu594/sptitanic-analysis", "kernel_id": "85282920"}, {"ref": "paddykb/ps-s5e7-don-t-look-at-me", "kernel_id": "86546557"}, {"ref": "raitest/personality-profiling-with-tsvd-eda-feat-eng", "kernel_id": "86859703"}, {"ref": "jamesmcguigan/gemma-3n-it-was-a-dark-and-stormy-night", "kernel_id": "86237012"}, {"ref": "lequanghai/playground-s5e7-eda-and-baseline-0-973279", "kernel_id": "86318005"}, {"ref": "wagenrace/using-nearest-neighbors", "kernel_id": "86364145"}, {"ref": "wagenrace/get-0-970850-with-only-2-features", "kernel_id": "86189937"}, {"ref": "wagenrace/using-nearest-neighbors-with-pca", "kernel_id": "86871380"}, {"ref": "arunkhattri/first-try-with-catboost", "kernel_id": "86878371"}, {"ref": "aerdem4/which-feature-is-more-important-for-personality", "kernel_id": "86216173"}, {"ref": "rockiecao/pss5e7-introvertsorextroverts-simplemodeling", "kernel_id": "86291684"}, {"ref": "tilii7/classify-personalities-without-any-training", "kernel_id": "86308396"}, {"ref": "cv13j0/introverts-vs-extroverts", "kernel_id": "86456344"}, {"ref": "abisheksrivastav/personality-classifier-optuna", "kernel_id": "86281561"}, {"ref": "abisheksrivastav/xgb-catboost-lgb-logistic-regression", "kernel_id": "86415144"}, {"ref": "abisheksrivastav/xgb-optuna-pseudo-labeling", "kernel_id": "86414419"}, {"ref": "abisheksrivastav/predict-the-introverts-from-the-extroverts-eda", "kernel_id": "86238239"}, {"ref": "abisheksrivastav/introverts-from-the-extroverts-simple-xgb-optuna", "kernel_id": "86240760"}, {"ref": "abisheksrivastav/predict-the-introverts-from-the-extroverts", "kernel_id": "86707243"}, {"ref": "dgf4qu/se5e7-xgboost-lgbm-rf-ensemble", "kernel_id": "86351050"}, {"ref": "dgf4qu/s5e7-bayes-prediction-w-probability-tuning", "kernel_id": "86345665"}, {"ref": "taimour/h20-automl-introverts-or-extroverts", "kernel_id": "86172642"}, {"ref": "taimour/introvert-extrovert-eda-ensemble-rskf", "kernel_id": "86174232"}, {"ref": "shedai/personality-int-vs-ext-google-competition", "kernel_id": "86861386"}, {"ref": "lucabasa/s5e7-aren-t-you-all-drained-after-socializing", "kernel_id": "86182853"}, {"ref": "docxian/ps-s5-e07-introverts-and-extroverts", "kernel_id": "86222683"}, {"ref": "codingloading/stacking-ensemble-xgb-cat", "kernel_id": "86171649"}, {"ref": "codingloading/voting-classifier-feature-engineering", "kernel_id": "86200376"}, {"ref": "dan3dewey/s5e7-introverts-extroverts-mixed-up", "kernel_id": "86420221"}, {"ref": "oscarm524/ps-s5-ep7-eda-modeling-submission", "kernel_id": "86206701"}, {"ref": "obiaf88/extrovers-vs-introvers-a-keras-model", "kernel_id": "86971948"}, {"ref": "secretagent99/pi-x0703-rf", "kernel_id": "86279553"}, {"ref": "gvalentini/personality-classification-r-logistic-regression", "kernel_id": "86874091"}, {"ref": "statsgary/introverts-extroverts-tab-playground-ensemble", "kernel_id": "86296579"}, {"ref": "stpeteishii/introverts-ensemble-hill-climb", "kernel_id": "86318296"}, {"ref": "stpeteishii/introverts-2-level-stacking-with-best-trials", "kernel_id": "86390469"}, {"ref": "stpeteishii/introverts-2-level-stacking-ensemble-with-oof", "kernel_id": "86396978"}, {"ref": "stpeteishii/introverts-lgbm-for-oof", "kernel_id": "86248748"}, {"ref": "stpeteishii/introverts-catboost-for-oof", "kernel_id": "86249257"}, {"ref": "stpeteishii/introverts-xgboost-for-oof", "kernel_id": "86249398"}, {"ref": "stpeteishii/introverts-ensemble-optuna", "kernel_id": "86250711"}, {"ref": "priyapathak2407/predict-personality-nn", "kernel_id": "86293076"}, {"ref": "priyapathak2407/predict-personality-xgb", "kernel_id": "86319723"}, {"ref": "priyapathak2407/predict-personality-stacked-xgb-nn", "kernel_id": "86559925"}, {"ref": "dkhundley/s5e7-predicting-introverts-from-extroverts", "kernel_id": "86982735"}, {"ref": "ahsuna123/exhaustive-eda-feature-engineering-evaluation", "kernel_id": "86193934"}, {"ref": "rajeshvalluri/what-an-introvert", "kernel_id": "86256642"}, {"ref": "mpwolke/we-re-all-ambiverts", "kernel_id": "86167088"}, {"ref": "cid007/simple-bl-eda-fe-mlflow-tracking", "kernel_id": "86371584"}, {"ref": "hawkeye312/personalityprediction", "kernel_id": "86824686"}, {"ref": "xaviertce/xgb-baseline-0-97488", "kernel_id": "86187923"}, {"ref": "xaviertce/baseline-ensemple-xgb-cat-lgb-0-975708", "kernel_id": "86340814"}, {"ref": "baphometyr/simple-keras-tunner-implementation", "kernel_id": "86432932"}, {"ref": "kkhandekar/personality-clf-basic-pytorch", "kernel_id": "86510825"}, {"ref": "jerrytutttle/notebook-predict-introverts", "kernel_id": "86375176"}, {"ref": "rahmanheydarov/fear-forward-filling-eda-based-imputation", "kernel_id": "86984237"}, {"ref": "hasnainajmal281/soft-personality-matching-with-confidence-scoring", "kernel_id": "86325546"}, {"ref": "aasirwaseer/ensemble-predict-the-introverts-from-the-extrovert", "kernel_id": "86266101"}, {"ref": "aasirwaseer/ps5e7-xgboost-4-model-blend-with-refined-hyperpa", "kernel_id": "86590201"}, {"ref": "xjoannax88/introverts-vs-extroverts-eda", "kernel_id": "86231495"}, {"ref": "avneetkaurnarula/introverts-vs-extroverts", "kernel_id": "86629061"}, {"ref": "atanunow/pss5e7-predict-introvert-compare-models", "kernel_id": "86206802"}, {"ref": "atanunow/pss5e7-predict-introvert-gboost-oof", "kernel_id": "86208158"}, {"ref": "atanunow/pss5e7-predict-introvert-gboost-optuna", "kernel_id": "86208642"}, {"ref": "yeonseokcho/introvert-extrovert-knn-imputer", "kernel_id": "86179066"}, {"ref": "albertqueralto/s5e7-eda-augmented-data-smote-stacking", "kernel_id": "86285297"}, {"ref": "chrisjm80/ps-s05e07-eda-baseline-lgbm", "kernel_id": "86372172"}, {"ref": "negoto/s5e7-eda-for-feature-pairs-rule-model", "kernel_id": "86173609"}, {"ref": "negoto/s5e7-k-nearest-neighbors", "kernel_id": "86260325"}, {"ref": "negoto/s5e7-naive-bayes-prediction", "kernel_id": "86235133"}, {"ref": "hopesb/predicting-introverts-extrovert", "kernel_id": "86268537"}, {"ref": "swas06/introvertsvsextrovert-ensemble", "kernel_id": "86706940"}, {"ref": "swas06/introvetsvsextroverts-eda", "kernel_id": "86199182"}, {"ref": "swas06/introvertsvsextrovert-baselinemodel", "kernel_id": "86280322"}, {"ref": "swas06/introvertsvsextrovert-xgbbaselinemodel", "kernel_id": "86303309"}, {"ref": "fernandosr85/introvert-extro-hybrid-multi-algorithm-architectur", "kernel_id": "86321834"}, {"ref": "tracyporter/play-5-7-svc", "kernel_id": "86194507"}, {"ref": "mananpbansal/eda-full-tree-model-pipeline-xgb-ydf", "kernel_id": "86187386"}, {"ref": "abhijeetyv/predict-introvert-and-extroverts", "kernel_id": "86411417"}, {"ref": "kirillkuznetsov/introvert-or-extroverts-competition", "kernel_id": "86642601"}, {"ref": "ianbogley/extroverts-and-introverts", "kernel_id": "86467409"}, {"ref": "josephnehrenz/s5e7-baseline-logistic-introvert-prediction-in-r", "kernel_id": "86572587"}, {"ref": "josephnehrenz/s5e7-catboost-introvert-prediction-in-r", "kernel_id": "86253887"}, {"ref": "mstsvgram/eda-analysis-using-logistic-model", "kernel_id": "86279712"}, {"ref": "khusyasy/predict-introverts-using-simple-neural-network", "kernel_id": "86482982"}, {"ref": "shpatrickguo/playground-s5e7", "kernel_id": "86273925"}, {"ref": "vinu0526/s5e7-eda-baseline", "kernel_id": "86181525"}, {"ref": "jimgruman/personality", "kernel_id": "86253515"}, {"ref": "kouidhimarwen/intro-vs-extro-eda-rf-baseline", "kernel_id": "86624230"}, {"ref": "kouidhimarwen/intro-vs-extro-model-selection-ensemble", "kernel_id": "86977952"}, {"ref": "aryankhanuja/catboost-and-eda", "kernel_id": "86303136"}, {"ref": "aryankhanuja/lr-on-catboost-xgboost-svm-stacked-model", "kernel_id": "86337946"}, {"ref": "gooser1/easy-baseline-for-s5e7", "kernel_id": "86236296"}, {"ref": "gooser1/no-ml-just-limits", "kernel_id": "86472354"}, {"ref": "tamerkanak/introvert-extrovert-prediction-feature-extrctn", "kernel_id": "86823601"}, {"ref": "jahidhsn/extrovert-vs-introvert", "kernel_id": "86697975"}, {"ref": "yyannnnnn/impute-missing-values", "kernel_id": "86846684"}, {"ref": "shuvojitdas/pss5e7-catboost-xgboost-optuna-ensemble", "kernel_id": "86381722"}, {"ref": "adithyachalla/predict-eda-introverts", "kernel_id": "86764911"}, {"ref": "leonchani/11-baseline-predict-introverts-or-extroverts", "kernel_id": "86527413"}, {"ref": "leonchani/01-only-eda-predict-introverts-or-extroverts", "kernel_id": "86327256"}, {"ref": "rajathrpai/simple-minimal", "kernel_id": "86712557"}, {"ref": "numberphile69/xgb-optuna-baseline-1-0-975", "kernel_id": "86265914"}, {"ref": "maverickss26/ensemble-solution-part-4", "kernel_id": "86970633"}, {"ref": "maverickss26/random-forest-solution-part-1", "kernel_id": "86959613"}, {"ref": "maverickss26/ensemble-solution-part-3", "kernel_id": "86942220"}, {"ref": "maverickss26/catboost-solution-part-1", "kernel_id": "86873887"}, {"ref": "conradkleykamp/predicting-introverts-extroverts-lgbm-ensemble", "kernel_id": "86640402"}, {"ref": "prateekkiran/personality-predictor-using-xgboost", "kernel_id": "86297049"}, {"ref": "shubham1111/s5-e7-eda-fe-xgboost-catboost-lightgbm", "kernel_id": "86448934"}, {"ref": "yashashkaushik/inrtovert-extrovert-classification-various-model", "kernel_id": "86955992"}, {"ref": "kwakubonsuwiredu/feature-engineering-and-selection", "kernel_id": "86414888"}, {"ref": "satyaprakashshukl/h20-predict-introverts-from-extroverts", "kernel_id": "86381804"}, {"ref": "satyaprakashshukl/predict-introverts-from-extroverts", "kernel_id": "86205864"}, {"ref": "jvachier/3-stack-personality-decoder", "kernel_id": "86445923"}, {"ref": "hoon0303/introvert-vs-extrovert-autogluon", "kernel_id": "86322467"}, {"ref": "hoon0303/personality-split-catboost-s05e17", "kernel_id": "86327414"}, {"ref": "ravi20076/playgrounds5e7-public-baseline-v1", "kernel_id": "86159867"}, {"ref": "ravi20076/playgrounds5e7-public-imports-v1", "kernel_id": "86158762"}, {"ref": "kaushalsahu123/straight-to-point-prediction", "kernel_id": "86635889"}, {"ref": "ademboukhris/0-9765-with-tabpfn-optuna-voting-ensemble", "kernel_id": "86929327"}, {"ref": "lvjianlvj/xgbclassifier", "kernel_id": "86291366"}, {"ref": "hamzabinbutt/predict-the-introverts-from-the-extroverts", "kernel_id": "86279388"}, {"ref": "petermoorhouse/if-statement-2-features", "kernel_id": "86343399"}, {"ref": "petermoorhouse/shallow-decision-tree-introverts-extroverts", "kernel_id": "86342816"}, {"ref": "petermoorhouse/sklearn-introverts-extroverts", "kernel_id": "86245173"}, {"ref": "valliansayoga/best-of-3-models-calibrated-threshold-tuned", "kernel_id": "86351443"}, {"ref": "valliansayoga/playground-series-s5e7-data-exploratory", "kernel_id": "86337765"}, {"ref": "fengyuhui/introverts-vs-extroverts-linear-model", "kernel_id": "86220105"}, {"ref": "esraaalsaeede/predict-the-introverts-from-the-extroverts", "kernel_id": "86663103"}, {"ref": "omidbaghchehsaraei/i-e-prediction-pytorch-tabnet-cv-0-96853", "kernel_id": "86295358"}, {"ref": "omidbaghchehsaraei/i-e-prediction-mlpclassifier-cv-0-96874", "kernel_id": "86192004"}, {"ref": "krupadharamshi/s5e7-logreg-krupa", "kernel_id": "86211328"}, {"ref": "dranilkumardubey/classify-introverts-from-extroverts", "kernel_id": "86198132"}, {"ref": "dranilkumardubey/fork-of-classify-introverts-from-extroverts", "kernel_id": "86205778"}, {"ref": "dranilkumardubey/predict-introverts-from-extrovert", "kernel_id": "86206626"}, {"ref": "dranilkumardubey/fork-of-predict-introverts-from-extrovert", "kernel_id": "86207176"}, {"ref": "dranilkumardubey/boosting-algo", "kernel_id": "86191286"}, {"ref": "dranilkumardubey/personality-identify", "kernel_id": "86602543"}, {"ref": "klyushnik/s5e7-blending-0-974898", "kernel_id": "86330537"}, {"ref": "mohammedammaruddin/s5e7-clearly-explained-for-beginners", "kernel_id": "86281534"}, {"ref": "julianowakowska/data-exploration-w-intro-and-extroverts", "kernel_id": "86489356"}, {"ref": "uuratl/extrovert-introvert-stackedlearning-xgb-linear-rfc", "kernel_id": "86542459"}, {"ref": "chitrakshsingh/introverts-from-extroverts-ml", "kernel_id": "86300802"}, {"ref": "rv1922/predict-introverts-from-extroverts-eda", "kernel_id": "86206456"}, {"ref": "rv1922/decoding-personality-predicting-social-traits", "kernel_id": "86210878"}, {"ref": "rv1922/introvert-vs-extrovert-a-xgboost-classification", "kernel_id": "86222817"}, {"ref": "rv1922/lightgbm-for-personality-type-prediction", "kernel_id": "86291609"}, {"ref": "m4rcuseryx/introvert-extrovert-guess-we-will-never-know", "kernel_id": "86398707"}, {"ref": "abhishek123maurya/introverts-v-s-extroverts", "kernel_id": "86358135"}, {"ref": "anotherbadcode/the-loud-the-tranquil", "kernel_id": "86545331"}, {"ref": "anotherbadcode/hush-predict-introverts-vs-extroverts", "kernel_id": "86247028"}, {"ref": "rohansardar/s5e7-optuna-xgb-lgbm-catboost-stacking", "kernel_id": "86784020"}, {"ref": "rohansardar/predict-introverts-voting-classifier-97-57-eda", "kernel_id": "86855547"}, {"ref": "rohansardar/s5e7-eda-rf-spot-the-introvert-0-973279", "kernel_id": "86961876"}, {"ref": "felixpradoh/ps-s5e7-exploratory-data-analysis", "kernel_id": "86182162"}, {"ref": "rubanzasilva/s5e7-fastai-gradient-boosting", "kernel_id": "86856469"}, {"ref": "mariusborel/voting-clf-from-some-base-models", "kernel_id": "86557871"}, {"ref": "mariusborel/h2o-in-r-extro-or-introvert", "kernel_id": "86512156"}, {"ref": "mariusborel/h2o-learning-classifier", "kernel_id": "86397412"}, {"ref": "mariusborel/can-nan-help-ex-or-in-trovert", "kernel_id": "86338869"}, {"ref": "mariusborel/only-cat-features-in-or-ex-trovert", "kernel_id": "86291396"}, {"ref": "mariusborel/benchmark-model-ex-or-in-trovert", "kernel_id": "86167200"}, {"ref": "mariusborel/version-3-optuna-ex-or-in-trovert", "kernel_id": "86210354"}, {"ref": "mariusborel/evaluate-some-base-models", "kernel_id": "86222199"}, {"ref": "gkanamoto/s5e7-xgb-optimized-thresholds", "kernel_id": "86321142"}, {"ref": "ankitaguptaindia/personality-prediction-eda-v1", "kernel_id": "86230881"}, {"ref": "kofoworolae/s5e07-predict-the-introverts-from-the-extroverts", "kernel_id": "86435458"}, {"ref": "phoenix0706/introvertvsextrovert-xgboost-lightbgm-96-94", "kernel_id": "86501653"}, {"ref": "kutlukatalay/informatiqs", "kernel_id": "86270450"}, {"ref": "michaorlewski/s5e7-intro-extroverts-eda-ensemble-optuna", "kernel_id": "86195976"}, {"ref": "pohungliu/eda-multimodel-introverts-confusing", "kernel_id": "86483262"}, {"ref": "adelanseur/predict-extrovert-from-introvert-competitions-eda", "kernel_id": "86289452"}, {"ref": "gmudit/ps-s5e7-personality-prediction", "kernel_id": "86219893"}, {"ref": "masayakawamata/s5e7-model-comparison", "kernel_id": "86984805"}, {"ref": "a3amat02/s5e7-xgboost-starter", "kernel_id": "86218454"}, {"ref": "nickzhilsky/bernoulli-total-binarization", "kernel_id": "86295767"}, {"ref": "francescoliveras/ps-s5-e7-eda-model-en-es", "kernel_id": "86201789"}, {"ref": "motohiroosawa/0-973279-n-gram-tf-idf-lgb-xgb-cat-lr-ensemble", "kernel_id": "86455236"}, {"ref": "motohiroosawa/0-973279-psychology-pseudo-labeling", "kernel_id": "86467560"}, {"ref": "motohiroosawa/complete-psychology-eda-s5e7-first-post", "kernel_id": "86434182"}, {"ref": "abhinavsharma0706/intext-xgboost", "kernel_id": "86327039"}, {"ref": "abhinavsharma0706/int-ext", "kernel_id": "86325002"}, {"ref": "abhinavsharma0706/int-gpuset", "kernel_id": "86330599"}, {"ref": "evin97/extrovert-introvert-classification", "kernel_id": "86457992"}, {"ref": "kureeltanishq/basic-logistic-regression-predict-introverts", "kernel_id": "86216451"}, {"ref": "vh10935cse20/catboost-introverts-accuracy", "kernel_id": "86288702"}, {"ref": "vh10935cse20/naive-bayes-introvert-accuracy", "kernel_id": "86349894"}, {"ref": "vh10935cse20/lgbm-introvert-accuracy", "kernel_id": "86494940"}, {"ref": "vh10935cse20/predicting-introverts-xgb", "kernel_id": "86214336"}, {"ref": "vh10935cse20/decision-tree-extrovert-bagging", "kernel_id": "86642770"}, {"ref": "sasaleaf/why-doesn-t-score-change-with-different-params", "kernel_id": "86553770"}, {"ref": "sasaleaf/cross-features-xgb-lgb-cat-ensemble", "kernel_id": "86845141"}, {"ref": "lekhatopil/predict-introvert-from-extroverts-lightgbm", "kernel_id": "86424834"}, {"ref": "namrodrguez/ps-s5e7-eda-knninputer-and-rf", "kernel_id": "86217289"}, {"ref": "anmuser/predict-the-introverts-from-the-extroverts-rf", "kernel_id": "86464479"}, {"ref": "pogusthewhisper/0-97165-autogluon-introverts-from-extroverts", "kernel_id": "86793544"}, {"ref": "atharva0577/s5e7-eda-boosting-ensemble", "kernel_id": "86167465"}, {"ref": "kagankoral/ps-s05e07-introvert-or-extrovert", "kernel_id": "86188869"}, {"ref": "antonylebedev/eda-knn-imputer-xgboost", "kernel_id": "86299725"}, {"ref": "yogeshbawankar/introverts-by-yogesh", "kernel_id": "86199039"}, {"ref": "yogeshbawankar/s05e07-personality-type-prediction-0-1", "kernel_id": "86968115"}, {"ref": "tejanshmaurya/predict-the-introverts-from-the-extroverts-model", "kernel_id": "86880919"}, {"ref": "les1781/predict-introvert-extrovert-playground-series-s5e7", "kernel_id": "86221975"}, {"ref": "vishnupriyagarige/introverts-from-the-extroverts-metamodels", "kernel_id": "86311400"}, {"ref": "vishnupriyagarige/predict-the-introverts-from-the-extroverts", "kernel_id": "86167134"}, {"ref": "vishnupriyagarige/predicting-introverts-from-the-extroverts-automl", "kernel_id": "86239532"}, {"ref": "kzmontage/personality-prediction-97-24-accuracy", "kernel_id": "86781136"}, {"ref": "grantgonnerman/ps-s5e7-eda-and-modeling", "kernel_id": "86175265"}, {"ref": "piotrpowroznik/introverts-extroverts-xgbclassifier", "kernel_id": "86710433"}, {"ref": "abeshith/am-i-an-introvert-model-says-97", "kernel_id": "86176536"}, {"ref": "diegoamd/s5e7-predict-the-introverts-eda", "kernel_id": "86423673"}, {"ref": "itasps/autogluon-model-introvert-extrovert", "kernel_id": "86220939"}, {"ref": "snehalkhandewale/predict-introvert-vs-extrovert", "kernel_id": "86203343"}, {"ref": "edacelikeloglu/5-07-kaggle-competition-knn-impute-voting-ensemble", "kernel_id": "86541863"}, {"ref": "garrickchinnis/predict-the-introverts-from-the-extroverts-xgboost", "kernel_id": "86234687"}, {"ref": "renukaoladhri/rf-lgbm-cat-ensemble", "kernel_id": "86874540"}, {"ref": "krinalnaghera/introvert-v-s-extrovert-neural-nets-acc-0-9725", "kernel_id": "86622854"}, {"ref": "darkdevil18/0-974898-catboost-baseline-no-fe", "kernel_id": "86287259"}, {"ref": "kaneezfatima860021/personality-prediction-triple-ensemble", "kernel_id": "86964273"}, {"ref": "kaneezfatima860021/personality-prediction-with-catboost-cv", "kernel_id": "86883990"}, {"ref": "kaneezfatima860021/catboost-tuned-xgboost-ensemble", "kernel_id": "86944879"}, {"ref": "mehmetuurkuru/first-submission-predict-the-introvert-extrovert", "kernel_id": "86994815"}, {"ref": "jaydeepvaishya/personality-classification-competition", "kernel_id": "86638404"}, {"ref": "udaykanchanpally/advanceprediction-imputers-pipelines", "kernel_id": "86869097"}, {"ref": "udaykanchanpally/ps0507-extrovert-vs-introvert-eda", "kernel_id": "86876295"}, {"ref": "samanfatima7/eda-usefull-insights-for-f-e", "kernel_id": "86274250"}, {"ref": "linhnk/xgboost-optuna-with-threshold-calibrdation", "kernel_id": "86301631"}, {"ref": "vinodkumargurjar/introverts-or-extroverts", "kernel_id": "86767591"}, {"ref": "francescoalbanesephd/s5e7-weighted-tetra-model-w-optuna-2-0", "kernel_id": "86357186"}, {"ref": "italosilva0101/predicting-personality-with-xgboost-algorithm", "kernel_id": "86412893"}, {"ref": "pacesetter55/initial-code", "kernel_id": "86320507"}, {"ref": "richardhhong/s5e7-eda-xgb-baseline", "kernel_id": "86202926"}, {"ref": "akhilesh2711/eda-preprocessing-classification", "kernel_id": "86321909"}, {"ref": "aayushiweb/introvert-v-s-extrovert", "kernel_id": "86522148"}, {"ref": "anshikakashyap12/ps5e7-introverts-vs-extroverts", "kernel_id": "86703481"}, {"ref": "anajpravin/kaggle-challenge-introvert", "kernel_id": "86213012"}, {"ref": "umeshk10/0-975708-s5e7-eda-xgboost", "kernel_id": "86199244"}, {"ref": "pxxthik/introvert-or-extrovert-xgboost", "kernel_id": "86847662"}, {"ref": "pxxthik/introvert-or-extrovert-eda", "kernel_id": "86705216"}, {"ref": "pxxthik/introvert-or-extrovert-baseline-model", "kernel_id": "86710767"}, {"ref": "awadmali/predict-the-introverts-from-the-extroverts-v1", "kernel_id": "86309943"}, {"ref": "amri11/predict-the-introverts-from-the-extroverts-xgb", "kernel_id": "86187891"}, {"ref": "akston/s5e7-basic-xgboost-original-data", "kernel_id": "86167377"}, {"ref": "balaramnaidu/predicting-introverts-from-extroverts", "kernel_id": "86347155"}, {"ref": "younusmohamed/61-00-eda-is-all-you-need", "kernel_id": "86300200"}, {"ref": "younusmohamed/61-01-feature-engineering-using-rf-explained", "kernel_id": "86478225"}, {"ref": "younusmohamed/61-02-multi-preprocess-multi-model-grid-search", "kernel_id": "86648369"}, {"ref": "capdiv/starter-notebook-for-rulebased-modelling", "kernel_id": "86234684"}, {"ref": "capdiv/autogluon-0-974089-starter-notebook", "kernel_id": "86330851"}, {"ref": "yousefelshahat2/rf-base-with-numerical-cols", "kernel_id": "86181069"}, {"ref": "yousefelshahat2/xgb-base-with-numerical-only", "kernel_id": "86178476"}, {"ref": "huseyinbaytar/pss5e7-introverts-and-extroverts", "kernel_id": "86201634"}, {"ref": "introverstein/s5e7-eda-adversarial-validation", "kernel_id": "86184548"}, {"ref": "mohammad123wick/eda-visuals-modles", "kernel_id": "86661428"}, {"ref": "samratghosh291/eda-fe-xgboost-optuna-extrovert-introvert", "kernel_id": "86792905"}, {"ref": "denvermagtibay/introvert-vs-extrovert-top10-lb-stacking", "kernel_id": "86956884"}, {"ref": "abdullahalmamun01/experiment-with-eda-xgboost-rf-nn-score-0-975708", "kernel_id": "86197561"}, {"ref": "mikhailnaumov/introverts-extroverts-xgb-cat-lgbm-hgb", "kernel_id": "86267733"}, {"ref": "subrahmanyambagathi/predicting-introvert-extrovert", "kernel_id": "86322362"}, {"ref": "grandhisreeja/prediction-introvert-from-extroverts", "kernel_id": "86276580"}, {"ref": "ravaghi/s05e07-personality-type-prediction-ensemble", "kernel_id": "86194963"}, {"ref": "ravaghi/s05e07-personality-type-prediction-autogluon", "kernel_id": "86199478"}, {"ref": "mohamedmustafashaban/eda-and-modeling-acc99", "kernel_id": "86467007"}, {"ref": "mohamedmustafashaban/personality-predicto", "kernel_id": "86465744"}, {"ref": "sudhanshu3112/predicting-people-a-behavioral-ml-pipeline", "kernel_id": "86221931"}, {"ref": "mohamed2004/personality-lgbmclassifier", "kernel_id": "86870276"}, {"ref": "kingkcabir/simple-mlp-intro-extro", "kernel_id": "86924363"}, {"ref": "codyjanderson/introvert-or-extrovert-prediction", "kernel_id": "86733505"}, {"ref": "amrorabea/introvert-extrovert-classification-xgboost-lgbm", "kernel_id": "86396887"}, {"ref": "yonatankapach/catboost-with-tsne-features-optuna", "kernel_id": "86739484"}, {"ref": "uzmaaly/introvert-to-extrovert-prediction", "kernel_id": "86691981"}, {"ref": "atrbyg24/predict-extroverts", "kernel_id": "86587605"}, {"ref": "botaylaamin/extrovert-vs-introverts", "kernel_id": "86880211"}, {"ref": "xenowing/introvert-vs-extrovert-classification-0-974898", "kernel_id": "86886582"}, {"ref": "abdmental01/s5e7-baseline-xgb", "kernel_id": "86168923"}, {"ref": "abdmental01/s5e7-baseline-cat", "kernel_id": "86168487"}, {"ref": "abdmental01/s5e7-ensemble-models", "kernel_id": "86169898"}, {"ref": "therohithanand/xgb-optuna", "kernel_id": "86189858"}, {"ref": "nalanzuikano/personality-binary", "kernel_id": "86478753"}, {"ref": "sulaniishara/socialmind-classifying-personality-traits", "kernel_id": "86285971"}, {"ref": "sulaniishara/ensemble-decoding-personality-traits", "kernel_id": "86933152"}, {"ref": "sulaniishara/socialmind-decoding-personality-traits", "kernel_id": "86786908"}, {"ref": "solomonajaero/s05-e07-intro-extro-personality-pred", "kernel_id": "86527597"}, {"ref": "peterjav/predict-introverts", "kernel_id": "86698512"}, {"ref": "muhumuzadeusai/introverts-extroverts-optuna-lgbm-catboost", "kernel_id": "86276738"}, {"ref": "ssyyhh/imputing-nan-evaluating-accuracy", "kernel_id": "86919207"}, {"ref": "noeldin25/nan-values-iterative-imputer-vs-manually-imputer", "kernel_id": "86635081"}, {"ref": "suthcong/s5e7-basic-eda-xgboost-voting", "kernel_id": "86169945"}, {"ref": "mishashikhov/s5e7-tab-m-0-967", "kernel_id": "86416439"}, {"ref": "bahridgr/introverts-vs-extroverts-kaggle-competition-s5e7", "kernel_id": "86404967"}, {"ref": "bokkuzu/v2-2507-s5e7-by-bokkuzu", "kernel_id": "86917131"}, {"ref": "yteshima/ps5s7-eda-and-xgboost-et-al", "kernel_id": "86430826"}, {"ref": "xxsanchitmukherjeexx/introvert-predictor", "kernel_id": "86190111"}, {"ref": "neeraj8180/basic-xgboost", "kernel_id": "86376848"}, {"ref": "neeraj8180/simple-xgb-classifier", "kernel_id": "86180479"}, {"ref": "antonoof/top35-26-38169", "kernel_id": "86483903"}, {"ref": "antonoof/clear-dataset-knnimputer", "kernel_id": "86277910"}, {"ref": "antonoof/decisiontree-numpy-simple-code", "kernel_id": "86212588"}, {"ref": "liusunju/introverts-extrover-lightgbm", "kernel_id": "86214230"}, {"ref": "liusunju/predict-the-personality-xgboost", "kernel_id": "86194391"}, {"ref": "liusunju/introverts-extrover-catboost", "kernel_id": "86243244"}, {"ref": "mastershomya/0-973279-s5e7-introverts-v-s-extroverts", "kernel_id": "86192673"}, {"ref": "alexandrubucur/kaggle-predict-the-introverts-from-the-extroverts", "kernel_id": "86699871"}, {"ref": "seamusbarnes/t-sne-visualisation", "kernel_id": "86288566"}, {"ref": "seamusbarnes/feature-engineering-does-nothing", "kernel_id": "86286192"}, {"ref": "seamusbarnes/heavy-feature-engineering-and-target-encoding", "kernel_id": "86343002"}, {"ref": "seamusbarnes/is-this-the-original-dataset", "kernel_id": "86198338"}, {"ref": "seamusbarnes/rf-benchmark-confirmation", "kernel_id": "86202110"}, {"ref": "felipeeduardovieira/predict-the-introverts-from-the-extroverts", "kernel_id": "86744162"}, {"ref": "sadettinamilverdil/under-the-blanket-vs-on-the-dance-floor", "kernel_id": "86210816"}, {"ref": "amaimono/stratified-kfold-light-gbm", "kernel_id": "86787658"}, {"ref": "princekhunt19/predict-introverts-from-extroverts-full-explain", "kernel_id": "86284758"}, {"ref": "saimude/starter-pack-extroverts-introverts", "kernel_id": "86209117"}, {"ref": "aryamanvaishya/s5e7-who-is-introverted", "kernel_id": "86174627"}, {"ref": "shubhamveer/intovert-nn-t", "kernel_id": "86945568"}, {"ref": "jupyter2024/singlemodel-xgboost-vs-ensemblemodel", "kernel_id": "86473881"}, {"ref": "lowzhenjie/playground-s5e7-introvertsextroverts", "kernel_id": "86187025"}, {"ref": "harshgupta4444/personality-puzzle-decoding-introverts-extrover", "kernel_id": "86489880"}, {"ref": "harshgupta4444/personality-prediction-simplified-svc-edition", "kernel_id": "86491022"}, {"ref": "harshgupta4444/personality-prediction-simple-rf", "kernel_id": "86382222"}, {"ref": "harshgupta4444/introvert-extrovert-eda", "kernel_id": "86264580"}, {"ref": "aroshabakhtawar/s5e7-visual-eda-catboost-xgboost-lgbm-ensemble", "kernel_id": "86904659"}, {"ref": "sakhawathossen/human-personality-98-9-eda-fe-dl-ml", "kernel_id": "86293215"}, {"ref": "sakhawathossen/human-personality-full-eda", "kernel_id": "86848638"}, {"ref": "elnazalikarami/predict-the-introverts-from-the-extroverts", "kernel_id": "86646398"}, {"ref": "rosebeltran/ps0507-extrovert-vs-introvert-zero-day-eda", "kernel_id": "86167279"}, {"ref": "rosebeltran/ps0507-introversion-xgb-analysis", "kernel_id": "86202690"}, {"ref": "zeeshanx/extroverts-share-their-work-histgbclassifier", "kernel_id": "86270552"}, {"ref": "surav12/introvert-extrovert-csv", "kernel_id": "86710614"}, {"ref": "surav12/personality-prediction-csv", "kernel_id": "86936821"}, {"ref": "mohammed237/playground-s5e7", "kernel_id": "86741105"}, {"ref": "arnavsuiiiiiiiiiiii/extrovert-or-introvert-0-95708-pls-upvote", "kernel_id": "86478140"}, {"ref": "arnavsuiiiiiiiiiiii/cv-0-9712-lb-0-976-pls-upvote", "kernel_id": "86505353"}, {"ref": "arnavsuiiiiiiiiiiii/ambivert-svc-score-0-972469", "kernel_id": "86181100"}, {"ref": "arnavsuiiiiiiiiiiii/ambivert-v2-score-0-973279", "kernel_id": "86191548"}, {"ref": "sumanbera19/decode-your-personality-extro-vs-intro-97-57", "kernel_id": "86678674"}, {"ref": "sumanbera19/are-you-an-introvert-using-xgb-eda", "kernel_id": "86234174"}, {"ref": "dakshkanaujia/introvert-vs-extrovert-classifier-a-beginner-fri", "kernel_id": "86544255"}, {"ref": "dakshkanaujia/0-975708-ensemble-beginner-binning-strat-kfold", "kernel_id": "86992603"}, {"ref": "polarsnow09/predict-personality-introverts-extroverts", "kernel_id": "86434876"}, {"ref": "cartoonistbeard/ps5e7-eda-who-s-introverted", "kernel_id": "86264459"}, {"ref": "cartoonistbeard/ps5e7-pytorch-dl-0-9687-cv-inference", "kernel_id": "86501860"}, {"ref": "yangjianzhu/simple-xgboost-baseline-for-personality", "kernel_id": "86615556"}, {"ref": "sai10py/simply-predicting-introextro-knnimputer", "kernel_id": "86479829"}, {"ref": "sai10py/introextro-prediction-xgb", "kernel_id": "86481585"}, {"ref": "danyalabbas1/baseline-model-logisticregression-w-imputations", "kernel_id": "86478896"}, {"ref": "metinhsimimi/kaggle-competation", "kernel_id": "86974490"}, {"ref": "devaanshpuri/introvert-or-extrovert-0-9757", "kernel_id": "86918239"}, {"ref": "samarpanrai/personality-prediction-with-smart-feature-engineer", "kernel_id": "86506230"}, {"ref": "qifeihhh666/private-970850", "kernel_id": "86188145"}, {"ref": "rudraprasadbhuyan/ps-s5e7-p0-data-profiling-autogluon", "kernel_id": "86712223"}, {"ref": "ranjithnarra/introvert-and-extrovert-prediction", "kernel_id": "86796236"}, {"ref": "jaxa623/s5e7-baseline-xgb-oof-output", "kernel_id": "86170180"}, {"ref": "jaxa623/xgboost-repeatedstratifiedkfold-s5e7", "kernel_id": "86168655"}, {"ref": "jaxa623/simple-eda-xgboost-baseline-with-oof", "kernel_id": "86168038"}, {"ref": "jaxa623/hill-climbing-s5e7", "kernel_id": "86179813"}, {"ref": "jaxa623/s5e7-basic-xgboost-original-data-with-oof", "kernel_id": "86179996"}, {"ref": "jaxa623/xgboost-repeatedstratifiedkfold-orginial-s5e7", "kernel_id": "86175689"}, {"ref": "jaxa623/optimal-fertilizers-eda-playground-0-38265", "kernel_id": "86054812"}, {"ref": "jaxa623/s5e7-baseline-cat-with-oof", "kernel_id": "86262949"}, {"ref": "hbugrae/a-tale-of-two-clusters-a-visual-personality-eda", "kernel_id": "86451140"}, {"ref": "rayhanislamhridoy/for-beginners-introverts-from-the-extroverts", "kernel_id": "86643916"}, {"ref": "sayyedfarrukhmehmood/eda-on-ordinal-features-for-personality-types", "kernel_id": "86278575"}, {"ref": "sayyedfarrukhmehmood/0-9724-0-9757-with-just-better-imputation", "kernel_id": "86383822"}, {"ref": "aliffaagnur/xgboost-with-feature-engineering-analysis", "kernel_id": "86292981"}, {"ref": "zafarali27/introverts-vs-extroverts-catboost", "kernel_id": "86948767"}, {"ref": "nihacheepirishetty/0-9757acc-simple-random-forest", "kernel_id": "86769320"}, {"ref": "nihacheepirishetty/xgb-rf-0-9757-acc", "kernel_id": "86627356"}, {"ref": "nihacheepirishetty/xgb-rf-catboost", "kernel_id": "86915310"}, {"ref": "nihacheepirishetty/simple-logisticregression", "kernel_id": "86397531"}, {"ref": "nihacheepirishetty/introvert-vs-extrovert-0-9757-acc", "kernel_id": "86181200"}, {"ref": "nihacheepirishetty/ensemble-model", "kernel_id": "86186426"}, {"ref": "cristiancartagenam/playgrounds5e7-eda-baseline", "kernel_id": "86223634"}, {"ref": "wilsonsioukanchow/xgb-classifier-still-simple", "kernel_id": "86282628"}, {"ref": "nomimian/age-and-gender-estimation", "kernel_id": "86441613"}, {"ref": "shalmamuji/correlation-of-features", "kernel_id": "86464622"}, {"ref": "shalmamuji/score-0-975708-personality-prediction-v1", "kernel_id": "86389617"}, {"ref": "shalmamuji/score-0-976518-ps-ss5e7", "kernel_id": "86565860"}, {"ref": "nauvalarya/xgb-optuna", "kernel_id": "86547956"}, {"ref": "ramanofthesky/your-search-ends-here", "kernel_id": "86353392"}, {"ref": "ashraf989/predict-the-introverts-from-the-extroverts", "kernel_id": "86365002"}, {"ref": "ashraf989/introverts-from-the-extroverts", "kernel_id": "86299117"}, {"ref": "parthramdeo/introvert-prediction", "kernel_id": "86915149"}, {"ref": "samasiayushman/mode-of-5-best-model-0-974898-score", "kernel_id": "86207554"}, {"ref": "varunraosfanlkan/eda-basic-bonus-in-end", "kernel_id": "86856354"}, {"ref": "tatianak1991/personalitytype-svm-misclassificationeda", "kernel_id": "86273181"}, {"ref": "marcopace2000/predict-introverts-catboost-vs-lightgbm-vs-xgboost", "kernel_id": "86196494"}, {"ref": "chikonzeroselemani/s5e7-it-s-time-for-ensemble", "kernel_id": "86210297"}, {"ref": "chikonzeroselemani/ps-s5e7-comprehensive-eda", "kernel_id": "86167696"}, {"ref": "younesbenalia/s5e7-ensemble-lgb-xgb-cbt-rf-lr", "kernel_id": "86179448"}, {"ref": "veydantkatyal/psychometric-stacking-s5e7", "kernel_id": "86205972"}, {"ref": "kainharshilshivkumar/firsttime", "kernel_id": "86326739"}, {"ref": "surajthakur21/identify-introvert-and-extrovert", "kernel_id": "86807904"}, {"ref": "bhaskarmishra44796/pss5e7-ensemble-skf-0-975708", "kernel_id": "86190211"}, {"ref": "garvitdhanwaria/introvert-pred", "kernel_id": "86531848"}, {"ref": "yigitbasi/notebookaea75437c4", "kernel_id": "86246455"}, {"ref": "yug201/personality-pred-predictive-imputation-ensembel", "kernel_id": "86198464"}, {"ref": "yashsahu02/predict-the-introverts-from-the-extroverts-s5e7", "kernel_id": "86263388"}, {"ref": "swandipsingha/eda-that-you-need", "kernel_id": "86168009"}, {"ref": "sylvesterdalmeida/v2-beginners-guide-feature-eng-stack-voting", "kernel_id": "86444622"}, {"ref": "sylvesterdalmeida/v3-beginners-guide-lgbm-optuna-hyper-tuned", "kernel_id": "86557192"}, {"ref": "sylvesterdalmeida/v3-beginners-guide-cat-optuna-hyper-tuning", "kernel_id": "86564327"}, {"ref": "sylvesterdalmeida/v3-beginners-guide-xgb-optuna-hyper-tuning", "kernel_id": "86516459"}, {"ref": "sylvesterdalmeida/v4-beginners-guide-8-tuned-models-stack-voting", "kernel_id": "86705900"}, {"ref": "faizankhandeshmukh/introvert-or-extrovert", "kernel_id": "86204360"}, {"ref": "kartiksaini18/personality-predictor-xgboost-smart-preproc", "kernel_id": "86432596"}, {"ref": "ishitaganatra/extrovert-introvert", "kernel_id": "86281305"}, {"ref": "kanaadlimaye/we-re-all-ambiverts", "kernel_id": "86259237"}, {"ref": "ranajanmej/intro-v-s-extro-iterativeimputer", "kernel_id": "86356667"}, {"ref": "ranajanmej/0-9748-logistic-reg-replacing-labels", "kernel_id": "86811609"}, {"ref": "ranajanmej/replacing-labels", "kernel_id": "86614350"}, {"ref": "ranajanmej/optuna-rf-iterativeimp", "kernel_id": "86525290"}, {"ref": "romanahmed2024/predict-introverts-extroverts-basic-info", "kernel_id": "86642541"}, {"ref": "johnweak3/notebook680e0f18e0", "kernel_id": "86285268"}, {"ref": "bandito20/xgboost-bayesianoptimization", "kernel_id": "86949686"}, {"ref": "amitsahu01234/predict-introvert-over-extrovert", "kernel_id": "86537279"}, {"ref": "anji2705/personalitytrait-s7e5-rf", "kernel_id": "86376211"}, {"ref": "anji2705/ps-s5e7-personalitytrait-xg-boost", "kernel_id": "86381000"}, {"ref": "erickaeregbu/simple-log-regression-v3-e2", "kernel_id": "86745887"}, {"ref": "erickaeregbu/ps-s5-ep7-eda-modeling-submission", "kernel_id": "86256189"}, {"ref": "ajayjaat/personlity-prediction", "kernel_id": "86272118"}, {"ref": "sabra15/predict-the-introverts-xgb", "kernel_id": "86453271"}, {"ref": "moridata/0-975708-introverts-vs-extroverts-full-eda", "kernel_id": "86192695"}, {"ref": "didartulegen/simple-eda-svc-as-a-baseline-model", "kernel_id": "86290424"}, {"ref": "vedeshp/intro-extro-models", "kernel_id": "86566662"}, {"ref": "vedeshp/intro-extro-eda-jul-25", "kernel_id": "86458885"}, {"ref": "sanidhyavijay24/feature-engineering-soft-voting-ensemble-0-9757", "kernel_id": "86402991"}, {"ref": "solihjon/notebook95bd88a5ff", "kernel_id": "86452827"}, {"ref": "patrykszcz/simple-xgb-calibratedclassifiercv", "kernel_id": "86286886"}, {"ref": "patrykszcz/lr-meta-model", "kernel_id": "86334573"}, {"ref": "muneebhassansipra/personality-prediction-introvert-extrovert-ipynby", "kernel_id": "86672259"}, {"ref": "elihaciyev/0-976518-random-forest-boost", "kernel_id": "86478126"}, {"ref": "elihaciyev/neuralnetwork-gpu-personality-prediction", "kernel_id": "86455361"}, {"ref": "elihaciyev/simple-log-regression", "kernel_id": "86301165"}, {"ref": "elihaciyev/plotting-like-pro-eda", "kernel_id": "86239264"}, {"ref": "moeindoust/predict-the-introverts", "kernel_id": "86244870"}, {"ref": "varunaven/bayesian-model", "kernel_id": "86537651"}, {"ref": "luukkornegoor/ps5-07-xgb-svm-cat-ensemble", "kernel_id": "86446180"}, {"ref": "mohanapavanbezawada/quick-xgboost-personality-classifier", "kernel_id": "86177653"}, {"ref": "mohanapavanbezawada/minimal-code-maximum-score-xgboost-ftw", "kernel_id": "86381375"}, {"ref": "mahmoudehab6677/personality-classification", "kernel_id": "86407731"}, {"ref": "rafaeldrago/xgboost-personality-classifier", "kernel_id": "86501610"}, {"ref": "manasi197/introvert-extrovert-randomforest", "kernel_id": "86551349"}, {"ref": "mirazul687/only-cat-s5e7", "kernel_id": "86439021"}, {"ref": "mirazul687/only-lgbm-s5e7", "kernel_id": "86435857"}, {"ref": "mirazul687/ensemble-s5e7", "kernel_id": "86444241"}, {"ref": "mirazul687/only-xgboost-s5e7", "kernel_id": "86330449"}, {"ref": "bishthimu23/introvert-and-extrovert", "kernel_id": "86385075"}, {"ref": "starkjone/s5e7-ensemble-xgboost-lgbm-logisticregression-hbg", "kernel_id": "86242227"}, {"ref": "sataflow/personality-prediction-through-knn-mice-eda", "kernel_id": "86488632"}, {"ref": "indroniel/fs-introvert-vs-extrovert-pred", "kernel_id": "86390605"}, {"ref": "indroniel/fs-optuna-hyper-parameter", "kernel_id": "86517480"}, {"ref": "arie07/s5e7-eda-baseline-xgb", "kernel_id": "86198071"}, {"ref": "christiangale/s05e07-xgboost-eda-fe-optuna", "kernel_id": "86491246"}, {"ref": "ahmed12998/logisticregression", "kernel_id": "86490328"}, {"ref": "zhangfero/ps5e7-catboost", "kernel_id": "86517400"}, {"ref": "aniketnamjoshi0012/eda-xgboost-parameters-tuning", "kernel_id": "86626236"}, {"ref": "snguyencopilot1/machine-learning-for-classification", "kernel_id": "86378154"}, {"ref": "arizalfirdaus123/step-by-step-personality-prediction-s5e7", "kernel_id": "86927247"}, {"ref": "singha07/introvert-extrovert-prediction", "kernel_id": "86210054"}, {"ref": "vinit08/xgboost-introvert-or-extrovert", "kernel_id": "86209598"}, {"ref": "vikramlingam/extrovert-vs-introvert", "kernel_id": "86490618"}, {"ref": "piotrpi/01-introverts-and-extroverts-eda", "kernel_id": "86177155"}, {"ref": "mah20050/notebook-python-6", "kernel_id": "86930598"}, {"ref": "amirsadrnia/extroverts", "kernel_id": "86572551"}, {"ref": "poorvikaa/introvert-or-extrovert", "kernel_id": "86926412"}, {"ref": "erenata/ps-s5e7-personality-classification-with-xgboost", "kernel_id": "86950111"}, {"ref": "erenata/predict-the-introverts-from-the-extroverts", "kernel_id": "86580522"}, {"ref": "lele25811/s05e07-predict-the-introverts-from-the-extroverts", "kernel_id": "86240211"}, {"ref": "stevenblaine/personality-predictor-with-catboost", "kernel_id": "86362790"}, {"ref": "rajivgaba/introvert-extrovert-prediction", "kernel_id": "86168388"}, {"ref": "harshsharma2704/personality-prediction", "kernel_id": "86403677"}, {"ref": "chiragsharma1201/predict-introverts-from-extroverts", "kernel_id": "86323261"}, {"ref": "lahore54000/notebook047aa9bf4c", "kernel_id": "86176709"}, {"ref": "arin8830/introvert", "kernel_id": "86268087"}, {"ref": "canozensoy/ps-s5e7-personality-classification-with-xgboost", "kernel_id": "86186522"}, {"ref": "codexbhawesh/introvert-extrovert-prediction", "kernel_id": "86328930"}, {"ref": "adarsh79x/log-reg-xgb-using-edazer-for-fast-eda-0-9732", "kernel_id": "86346313"}, {"ref": "martjm26/tabpfn-on-data-too-big-for-it-no-fe-or-tuning", "kernel_id": "86343761"}, {"ref": "helooohy/introverts-vs-extroverts-hyper-tuning-96", "kernel_id": "86407331"}, {"ref": "sedattun/s5-e7-deeplearn", "kernel_id": "86441426"}, {"ref": "sedattun/s5-e7-xgb-iterativeimputer", "kernel_id": "86576057"}, {"ref": "pralodputter/pycaret-for-introvert", "kernel_id": "86213899"}, {"ref": "saisruthikancharla/random-forest-introvert-extrovert", "kernel_id": "86443694"}, {"ref": "saisruthikancharla/introvert-extrovert-xgboost", "kernel_id": "86640440"}, {"ref": "shivams811/introverts-from-the-extroverts-s5e7-0-973279", "kernel_id": "86611674"}, {"ref": "oguztoy/predictintrovertsfromextroverts", "kernel_id": "86240789"}, {"ref": "nicdeluc/personality-classification-with-stacking", "kernel_id": "86812763"}, {"ref": "nicdeluc/personality-classification-with-tabpfn-tabicl", "kernel_id": "86626196"}, {"ref": "devanshshukla123/personality-prediction-and-analysis", "kernel_id": "86418044"}, {"ref": "shine20905/0-975708-score", "kernel_id": "86501382"}, {"ref": "shine20905/achieved-accuracy-score-of-0-976158", "kernel_id": "86650203"}, {"ref": "ayushgarg240406/predictionintroverts-custom-imputer", "kernel_id": "86302900"}, {"ref": "ramashishpanchal/predict-the-introverts-from-the-extroverts", "kernel_id": "86264723"}, {"ref": "abduraaahim/introverts-from-extroverts", "kernel_id": "86941447"}, {"ref": "khai42/eda-lgbmodel-of-predict-the-introverts", "kernel_id": "86611346"}, {"ref": "laibarazzaq10/notebook5f566b284b", "kernel_id": "86428154"}, {"ref": "laibarazzaq10/notebookf1e05a2c5e", "kernel_id": "86428663"}, {"ref": "laibarazzaq10/notebooka2fdd5e55f", "kernel_id": "86275127"}, {"ref": "laibarazzaq10/notebook2c375dcc65", "kernel_id": "86210692"}, {"ref": "laibarazzaq10/notebook095b527234", "kernel_id": "86210944"}, {"ref": "laibarazzaq10/prediction-1", "kernel_id": "86208920"}, {"ref": "laibarazzaq10/notebookdc853b57f4", "kernel_id": "86215865"}, {"ref": "gowthamdd/extrovert", "kernel_id": "86270638"}, {"ref": "gowthamdd/extrovert-vs-introvert", "kernel_id": "86333410"}, {"ref": "gowthamdd/xgboost-catboost-logistic-regression-stacking", "kernel_id": "86724727"}, {"ref": "willongwang/s05e07-personality-type-prediction-ensemble", "kernel_id": "86876591"}, {"ref": "mdferozahmedafm/personality-predictor-introvert-or-extrovert", "kernel_id": "86454245"}, {"ref": "aymankhan555/personality-decoder-using-simple-svm", "kernel_id": "86861468"}, {"ref": "aymankhan555/personality-prediction-cat-svm-rf-xgb", "kernel_id": "86781756"}, {"ref": "raysdq/to-trees-and-beyond", "kernel_id": "86451780"}, {"ref": "dhritimanchakrabarty/best-model-comparison-and-eda", "kernel_id": "86939370"}, {"ref": "anhadmahajan06/predict-the-introverts-from-the-extroverts", "kernel_id": "86345343"}, {"ref": "kifayatullahe/just-eda-introverts-vs-extroverts", "kernel_id": "86705345"}, {"ref": "sbhatti34/predict-intro-vs-extroverts-gridsearch", "kernel_id": "86367274"}, {"ref": "ahmetemirakdogan/s5e7-xgboost-lightgbm-soft-voting-ensemble", "kernel_id": "86339762"}, {"ref": "ahmetemirakdogan/s5e7-xgboost-with-stratified-5-fold-cv", "kernel_id": "86271906"}, {"ref": "ahmetemirakdogan/simple-xgboost-baseline-for-personality", "kernel_id": "86186605"}, {"ref": "analyticaobscura/introvert-vs-extrovert-prediction-eda", "kernel_id": "86199203"}, {"ref": "sathivadapradeep/the-introvets-and-extroverts", "kernel_id": "86991713"}, {"ref": "dityanugroho/rf-adb-cb-lgb-xgb-stack-vote", "kernel_id": "86234360"}, {"ref": "haliburton/s5e7-logistic-regression", "kernel_id": "86167748"}, {"ref": "emircansoftware/xgbclassifier", "kernel_id": "86192611"}, {"ref": "anurag03tripathi/extrovert-introvert", "kernel_id": "86690998"}, {"ref": "yogendrabs/personality", "kernel_id": "86294176"}, {"ref": "agazie/predicting-personality-traits-tabpfn-uncert", "kernel_id": "86425668"}, {"ref": "sachin62/predict-the-introverts-from-the-extroverts-01", "kernel_id": "86338643"}, {"ref": "isaacmenard/xgboost-for-introvert-extrovert-classification", "kernel_id": "86857098"}, {"ref": "enesalan/advanced-ensemble-pipeline", "kernel_id": "86631223"}, {"ref": "aishakhanum/who-are-you-really-predicting-personality-from", "kernel_id": "86442321"}, {"ref": "visithanrajapaksha/predict-the-introverts-from-the-extroverts-v2", "kernel_id": "86273698"}, {"ref": "rocedg/eda-fe-xgb-predict-introverts-extroverts", "kernel_id": "86215099"}, {"ref": "sigmamind/predict-introverts-from-extroverts", "kernel_id": "86432642"}, {"ref": "mariak01/predict-introverts-and-extroverts", "kernel_id": "86974129"}, {"ref": "nina2025/ps-s5e7-nan-as-feats", "kernel_id": "86271605"}, {"ref": "nina2025/introverts-extroverts-blend-of-public-submission", "kernel_id": "86198522"}, {"ref": "danilerofeev/s5e7-xgboost", "kernel_id": "86190664"}, {"ref": "thangnguyen12939445/introverts-extroverts-bagging-random-forest", "kernel_id": "86496624"}, {"ref": "thangnguyen12939445/introverts-extroverts-randomforest", "kernel_id": "86498395"}, {"ref": "thangnguyen12939445/introverts-extroverts-decision-tree", "kernel_id": "86424102"}, {"ref": "thangnguyen12939445/introverts-extroverts-logisticregression", "kernel_id": "86396326"}, {"ref": "thangnguyen12939445/intro-extro-svc", "kernel_id": "86399068"}, {"ref": "thangnguyen12939445/introverts-extrovert", "kernel_id": "86317440"}, {"ref": "thangnguyen12939445/introverts-extroverts-hardvoting", "kernel_id": "86530538"}, {"ref": "thangnguyen12939445/introverts-extroverts-softvoting", "kernel_id": "86531543"}, {"ref": "thangnguyen12939445/introverts-extroverts-stackingregression", "kernel_id": "86522570"}, {"ref": "thangnguyen12939445/introverts-extroverts-adaboost", "kernel_id": "86517268"}, {"ref": "thangnguyen12939445/introverts-extroverts-gradientboosting", "kernel_id": "86517919"}, {"ref": "oscarivnbocanegra/s5e7-exploratory-data-analysis", "kernel_id": "86310563"}, {"ref": "abdulrahmanqaten/introverts-extroverts-first-solve", "kernel_id": "86191627"}, {"ref": "abdulrahmanqaten/introverts-extroverts-second-solve-xgb", "kernel_id": "86193823"}, {"ref": "abdulrahmanqaten/introverts-extroverts-3rd-solve-svm", "kernel_id": "86194028"}, {"ref": "abdulrahmanqaten/introverts-extroverts-5th-solve-catboost", "kernel_id": "86194756"}, {"ref": "abdulrahmanqaten/introverts-extroverts-4th-solve-lr-multinomial", "kernel_id": "86194439"}, {"ref": "abdulrahmanqaten/introverts-extroverts-6th-solve", "kernel_id": "86195203"}, {"ref": "abdulrahmanqaten/dss-xgb-1st", "kernel_id": "86290193"}, {"ref": "abdulrahmanqaten/introverts-extroverts-naive-bayes", "kernel_id": "86353280"}, {"ref": "abdulrahmanqaten/introverts-extroverts-last-solve", "kernel_id": "86546354"}, {"ref": "nishu65/xg-boost-with-0-951417-simple-for-new-learners", "kernel_id": "86710902"}, {"ref": "nishu65/predict-extrovert", "kernel_id": "86578139"}, {"ref": "vikasrain/predict-introvert", "kernel_id": "86636316"}, {"ref": "harshalakshan/predict-the-introverts-from-the-extroverts", "kernel_id": "86304037"}, {"ref": "yrkaass/introvert-or-extrovert-eda-ml-rus-acc-97-489", "kernel_id": "86782560"}, {"ref": "marcelocruzeta/machine-learning-experiment", "kernel_id": "86276354"}, {"ref": "marcelocruzeta/tensor-flow-experiment", "kernel_id": "86434700"}, {"ref": "renishbdhaduk/predicting-introvert-extrovert-using-decisiontree", "kernel_id": "86203233"}, {"ref": "aditya162003/optuna-97-4-accuracy", "kernel_id": "86692093"}, {"ref": "battkeninza/my-fav-solution", "kernel_id": "86709546"}, {"ref": "battkeninza/best-solution-20-folds-6-models", "kernel_id": "86909641"}, {"ref": "jaydenjurianto/personality-prediction-with-baseline-lgbm", "kernel_id": "86252646"}, {"ref": "kokifujimoto/notebook7fa90c7ac4", "kernel_id": "86850118"}, {"ref": "rezwanahammad/introvert-extrovert-predictions", "kernel_id": "86456439"}, {"ref": "thangnguyen012213/homework-introvertsvsextroverts", "kernel_id": "86396230"}, {"ref": "thangnguyen012213/introvertsextroverts", "kernel_id": "86352509"}, {"ref": "massera/notebook6597720c36", "kernel_id": "86386522"}, {"ref": "elhassanefekairi/predict-personality-xgboost-iterativeimputer", "kernel_id": "86268985"}, {"ref": "joeprob/learn-with-me-xgbclassifier", "kernel_id": "86704046"}, {"ref": "shirleytheresav1385/stv-introvert-extrovert", "kernel_id": "86429032"}, {"ref": "ijiayumu/ijitsunaikoutekigaikou", "kernel_id": "86386935"}, {"ref": "ijiayumu/ijitsuseikaku", "kernel_id": "86856233"}, {"ref": "naruya0810/notebook3186f23a8f", "kernel_id": "86858488"}, {"ref": "prasenjitpaul9391/predicting-introvert-from-extrovert", "kernel_id": "86386776"}, {"ref": "sumigg/notebookf60e96fced", "kernel_id": "86386712"}, {"ref": "shrutichangan/introvert-prediction-rf", "kernel_id": "86524210"}, {"ref": "shrutichangan/introvert-vs-extrovert-prediction-xgboost-model", "kernel_id": "86774314"}, {"ref": "resmont/personality-catboost-tabnet", "kernel_id": "86642982"}, {"ref": "hzning/top-3-0-97-introvert-vs-extrovert-eda", "kernel_id": "86352036"}, {"ref": "hzning/0-975708", "kernel_id": "86333531"}, {"ref": "hzning/top4-0-976518-unlocking-personality-with-smart", "kernel_id": "86547087"}, {"ref": "hzning/0-975708-7", "kernel_id": "86545049"}, {"ref": "hzning/0-976518-kaggle", "kernel_id": "86635935"}, {"ref": "hzning/0-976518-three-secrets-to-a-high-score", "kernel_id": "86638430"}, {"ref": "sagaraman8/personality-prediction-with-eda-and-key-findings", "kernel_id": "86617796"}, {"ref": "intekhabniaz/predicting-introverts-from-extroverts-logistic-r", "kernel_id": "86505207"}, {"ref": "anandgutta15/introvert-to-extrovert", "kernel_id": "86547038"}, {"ref": "yubinx2/introvert-extrovert-prediction", "kernel_id": "86504124"}, {"ref": "salahidinzulpukarov/salahidin001", "kernel_id": "86557811"}, {"ref": "dalloliogm/introverts-and-extroverts", "kernel_id": "87051879"}, {"ref": "raitest/personality-classif-xgboost-fe-imputations", "kernel_id": "87121636"}, {"ref": "mauddib/0-975-predict-the-introverts-imputation-lightgbm", "kernel_id": "87987668"}, {"ref": "sidcodegg/genetic-algo-is-all-you-need", "kernel_id": "87077180"}, {"ref": "ryzhokhina/introverts-extroverts", "kernel_id": "87182024"}, {"ref": "obiaf88/imputing-missing-values-with-distances-xgboost", "kernel_id": "87309548"}, {"ref": "baglaribr/feature-engineering-at-playground-series-s5e7", "kernel_id": "87519126"}, {"ref": "baglaribr/predict-the-introverts-from-extroverts-0-975708", "kernel_id": "87203690"}, {"ref": "jazivxt/sea-turtles-and-bunnies", "kernel_id": "87556618"}, {"ref": "statsgary/unleashing-charlie-other-techniques", "kernel_id": "87339860"}, {"ref": "stpeteishii/introverts-tabnet", "kernel_id": "87751315"}, {"ref": "kumarkatariya/rank-21-introvert-vs-extrovert", "kernel_id": "87355460"}, {"ref": "zoetsekas/ensemble-of-xgboost-lightgbm-and-pytorch", "kernel_id": "87707835"}, {"ref": "irfanahmad1/introvert-vs-extrovert", "kernel_id": "87978523"}, {"ref": "irfanahmad1/s05-e07-personaltiy-pred-like-a-pro", "kernel_id": "87997036"}, {"ref": "irfanahmad1/introverts-and-extroverts-0-974-competetion-win", "kernel_id": "87996415"}, {"ref": "irfanahmad1/intro-extro-personality-prediction", "kernel_id": "87998700"}, {"ref": "elmirace/introverts-or-extroverts", "kernel_id": "87142657"}, {"ref": "autumngsmith/personality-comp-2025-07", "kernel_id": "87882757"}, {"ref": "saspav/py-boost-classifier-0-976518", "kernel_id": "87361165"}, {"ref": "ojaswiawasthi/0-97acc-introverts-vs-extroverts-eda-logistic", "kernel_id": "87515626"}, {"ref": "sofiahal/classifier-introvert-vs-extrovert", "kernel_id": "87346965"}, {"ref": "swas06/introvertsvsextrovertcvmodelling", "kernel_id": "87553185"}, {"ref": "creatorvr/aiml-fa", "kernel_id": "87614682"}, {"ref": "itskumar/i-am-introvert-too", "kernel_id": "87458139"}, {"ref": "paoforml/eda-bernoullinb-introvert-extrovert", "kernel_id": "87988793"}, {"ref": "sirenaalyce/notebook90ca9c3342", "kernel_id": "87025356"}, {"ref": "thomasmeiner/s5e7-bluecast-2-0-nightly", "kernel_id": "87613268"}, {"ref": "zhukovoleksiy/is-manusai-better-than-you", "kernel_id": "87502701"}, {"ref": "mstsvgram/analysis-core-pattern-that-your-model-picks", "kernel_id": "87329374"}, {"ref": "amariliskhairinam/spotting-introvert-using-smote-randomforest", "kernel_id": "87515047"}, {"ref": "akshayr009/intro-extro-personality-pred-eda-cat", "kernel_id": "87636191"}, {"ref": "dylantulett/personality-prediction-model", "kernel_id": "87486475"}, {"ref": "dylantulett/refined-personality-notebook", "kernel_id": "87978762"}, {"ref": "chaudharytalhaumer/notebookefbbab654e", "kernel_id": "87700936"}, {"ref": "valentinemwai/predict-the-introverts-from-the-extroverts-svm", "kernel_id": "87779187"}, {"ref": "trixietacung/introvert-extrovert-eda-random-forest", "kernel_id": "87931122"}, {"ref": "adamshtrasner/introvert-vs-extrovert-lgbm-xgb-rf", "kernel_id": "87792633"}, {"ref": "maverickss26/xgb-rf-ensemble-solution", "kernel_id": "87394821"}, {"ref": "maverickss26/feature-engineeing-multi-model-ensemble", "kernel_id": "87537575"}, {"ref": "maverickss26/predict-inroverts-using-tab-net-classifier-part-1", "kernel_id": "87033513"}, {"ref": "maverickss26/ensemble-solution-part-5", "kernel_id": "87129111"}, {"ref": "rubaegb/predict-the-introverts-decisiontree-knn-randomf", "kernel_id": "87008256"}, {"ref": "josepnc/model-rfc-gcv-predicting-introverts-extroverts", "kernel_id": "87706476"}, {"ref": "josepnc/model-lsvc-gscv-predicting-introverts-extroverts", "kernel_id": "87789666"}, {"ref": "josepnc/model-randomforestclassifier-predicting-introverts", "kernel_id": "87607072"}, {"ref": "josepnc/model-kneighborsclassifier-predicting-introverts-e", "kernel_id": "87597138"}, {"ref": "zeeagle/base-line-with-xgboost", "kernel_id": "87120796"}, {"ref": "anashikforu/stack-bag-pseudo", "kernel_id": "87948199"}, {"ref": "balajivaraprasad/introvert-0-976518-ann-xgb-knn-lr-ens", "kernel_id": "87429485"}, {"ref": "sanjoymondal0/predict-the-introverts-from-the-extroverts", "kernel_id": "87509797"}, {"ref": "anwarabualhussien/catboost-model-introvert-vs-extrovert", "kernel_id": "87125391"}, {"ref": "nairec/personality-eda-prediction-xgboost-cv", "kernel_id": "87127993"}, {"ref": "thuandao/introverts-and-extroverts-eda-ml", "kernel_id": "87367055"}, {"ref": "rv1922/predict-the-introverts-from-the-extroverts", "kernel_id": "87489197"}, {"ref": "umutcihan/ensemble-xgboost-catboost-solution", "kernel_id": "87990637"}, {"ref": "rohansardar/predict-introverts-tensorflow-pipeline-neuralnet", "kernel_id": "87544377"}, {"ref": "mayankgupta1609/personality-prediction", "kernel_id": "87591018"}, {"ref": "mariusborel/stacking-on-intro-vs-extrovert", "kernel_id": "87573687"}, {"ref": "shringivyas/predicting-introverts", "kernel_id": "87695125"}, {"ref": "alisarpsunay/random-forest-model-w-optuna-0-974898", "kernel_id": "87879692"}, {"ref": "yaminh/introvert-with-optuna-ensemble", "kernel_id": "87665769"}, {"ref": "vh10935cse20/randomforest-introvert-accuracy", "kernel_id": "87478803"}, {"ref": "vh10935cse20/ensemble-introvert-accuracy-score", "kernel_id": "87222146"}, {"ref": "calebboen/introvert-extrovert-prediction", "kernel_id": "87472860"}, {"ref": "lovanshugarg/hello-world", "kernel_id": "87094616"}, {"ref": "basselashraf/introvert-vs-extrovert-prediction-model", "kernel_id": "87598735"}, {"ref": "akshwint/predict-introvert-extrovert-competition", "kernel_id": "87461419"}, {"ref": "ujjawalsingh10/introverts-vs-extroverts-xgboost-adaboost", "kernel_id": "87859681"}, {"ref": "sobiahashmi/social-clues-to-personality-smote-insights", "kernel_id": "87188813"}, {"ref": "catarinafelixcr/confirm-that-i-am-an-introvert", "kernel_id": "87471303"}, {"ref": "catarinafelixcr/am-i-introverted", "kernel_id": "87964020"}, {"ref": "ahmetyasin1/personality-classification-r-random-forest", "kernel_id": "87551282"}, {"ref": "ycelgerekliolu/stacking-meta-model-and-logistic-regression", "kernel_id": "87232863"}, {"ref": "bryanhendry/predintrovert", "kernel_id": "87403570"}, {"ref": "pratiksingh668/predict-using-logistic-regression", "kernel_id": "87024499"}, {"ref": "itasps/using-naive-bayes-to-identify-introvert-extrovert", "kernel_id": "87795636"}, {"ref": "itasps/using-svc-hgbc-to-identify-introvert-extrovert", "kernel_id": "87825679"}, {"ref": "itasps/0-974898-no-advance-ml-only-data-analysis", "kernel_id": "87505302"}, {"ref": "itasps/automl-predict-introverts", "kernel_id": "87129327"}, {"ref": "amineipad/intro-extro", "kernel_id": "87558780"}, {"ref": "kaneezfatima860021/catboost-and-xgboost-ensemble-model", "kernel_id": "87029033"}, {"ref": "kaneezfatima860021/introvert-vs-extrovert", "kernel_id": "87778762"}, {"ref": "saigouthampydi/one-stop-eda", "kernel_id": "87352531"}, {"ref": "chiranjeevimchiru/s5e7-personality-prediction-using-xgboost-vs-rando", "kernel_id": "87026644"}, {"ref": "ouzhanakr/ps-s5e7-catboost", "kernel_id": "87367786"}, {"ref": "dhattori/introverts", "kernel_id": "87844008"}, {"ref": "sandyg6/personality-prediction-using-catboost", "kernel_id": "87827214"}, {"ref": "tmdofi/advanced-ensemble-modeling-with-xg-pls-upvote", "kernel_id": "87003383"}, {"ref": "nibeditasahu/predict-introverts-from-extroverts", "kernel_id": "87548477"}, {"ref": "mrimkhan/introvert-extrovert-prediction-with-97-acc", "kernel_id": "87414993"}, {"ref": "abdulwajad/introvert-vs-extrovert-personality-classification", "kernel_id": "87523115"}, {"ref": "abdelhakkana/personality-classification", "kernel_id": "87490740"}, {"ref": "ummadd/notebook5cc06350a4", "kernel_id": "87794915"}, {"ref": "nandeeshacg/predict-introvert", "kernel_id": "87193195"}, {"ref": "devbatrax/predicting-introverts-using-xgboost-97-32", "kernel_id": "87685163"}, {"ref": "manish756/introvert-and-extroverts-predication", "kernel_id": "87867111"}, {"ref": "dqgiac23/contest-predict-introverts-from-the-extroverts", "kernel_id": "87259218"}, {"ref": "sinankr/stacking-ensemble-xgboost-lightgbm-catboost-mlp", "kernel_id": "87784512"}, {"ref": "yashmotiani/predicting-the-introverts-from-the-extroverts", "kernel_id": "87401900"}, {"ref": "amankroot/extrovert-vs-introvert", "kernel_id": "87948215"}, {"ref": "haohuanchen/ps-s5e7-voting-model", "kernel_id": "87578141"}, {"ref": "yonatankapach/xgboost-shap-feature-engineering", "kernel_id": "87209182"}, {"ref": "anthonytherrien/2025-kaggle-playground-series-season-5-ep-7", "kernel_id": "87814712"}, {"ref": "daltongabrielomondi/introvert-vs-extrovert-pred", "kernel_id": "87955404"}, {"ref": "westoon/pg-5-7-fe-new-features-xgb-lgb-cb", "kernel_id": "87517425"}, {"ref": "michael1o2/introvert-extrovert-prediction", "kernel_id": "87985154"}, {"ref": "ayushikashyap/97-7-extroverts-vs-introverts-eda-and-stats", "kernel_id": "87696725"}, {"ref": "vanshiksingh/introvertvsextrovert", "kernel_id": "87046848"}, {"ref": "dachristin/predict-introverts-from-the-extroverts-notebook", "kernel_id": "87625553"}, {"ref": "tamjay01/stratified-k-fold-cv-xgboost", "kernel_id": "87374659"}, {"ref": "zhulfa/predict-introverts-extroverts", "kernel_id": "87193459"}, {"ref": "m1z2n3r4a5/lightgbm-model-for-personality-classification-ipyn", "kernel_id": "87929818"}, {"ref": "aneyasobalkar/predict-introvert-extrovert-playground-s5e7", "kernel_id": "87579493"}, {"ref": "darrentanzhijie/intovert-extrovert-binary-classifier", "kernel_id": "87722563"}, {"ref": "sourav3123/predict-introvert-from-extrovert", "kernel_id": "87538722"}, {"ref": "mananrafiq/prediction-using-xgboost", "kernel_id": "87462060"}, {"ref": "nikhilbkandekar/3-methods", "kernel_id": "87546899"}, {"ref": "poojakuniyal/introextro-eda-all-model-training", "kernel_id": "87136531"}, {"ref": "apupapu/intro-extro-mkg1", "kernel_id": "87461093"}, {"ref": "sai10py/intro-vs-extro-prediction-eda-lgbm", "kernel_id": "87463313"}, {"ref": "sai10py/intro-vs-extro-prediction-challenge", "kernel_id": "87398338"}, {"ref": "stathu/beginner-s-try-lightgbm-score-0-974089", "kernel_id": "87252255"}, {"ref": "bolongv/predict-the-introverts", "kernel_id": "87369698"}, {"ref": "minsung813/day4-predict-the-introverts", "kernel_id": "87773281"}, {"ref": "kbraar/introvert-vs-extrovert-eda", "kernel_id": "87266778"}, {"ref": "nandayadav09/predict-introverts-from-extrovert", "kernel_id": "87304328"}, {"ref": "ranjithnarra/introvert-extrovert-prediction", "kernel_id": "87797091"}, {"ref": "robertlorenz/s05e07-eda", "kernel_id": "87008984"}, {"ref": "rishipri/intro-and-extro-notebook", "kernel_id": "87839055"}, {"ref": "aishatoyewunmi/rfcxgblgbwithgrsearch", "kernel_id": "87310454"}, {"ref": "tatianak1991/introexrovert-imputerseval-xgb-rf-lgb-cat", "kernel_id": "87207322"}, {"ref": "marcopace2000/cleaningpipeline-optuna-catboostclassifier", "kernel_id": "87367829"}, {"ref": "vandanapathania/predict-the-introverts-from-the-extroverts", "kernel_id": "87173638"}, {"ref": "seraphicfrost/predict-the-introvert-decisiontree", "kernel_id": "87660651"}, {"ref": "seraphicfrost/predict-the-introverts", "kernel_id": "87130127"}, {"ref": "ezekielgeorge/introverts-prediction", "kernel_id": "87078622"}, {"ref": "samarthnew/notebookeaa004159a", "kernel_id": "87461866"}, {"ref": "jaimilnpatel/predict-introvert-extrovert", "kernel_id": "87340424"}, {"ref": "hamidrana/personality-randomforest-s5e7-notebook-97-32", "kernel_id": "87522066"}, {"ref": "ayahdawoud/extrovert-introvert-prediction", "kernel_id": "87930232"}, {"ref": "muhammadaiesh/introverts-vs-extroverts-competition", "kernel_id": "87992423"}, {"ref": "baydarenes/hybrid-boosting-catboost-xgboost", "kernel_id": "87050012"}, {"ref": "dureyashfeen/predicting-extrovert", "kernel_id": "87172400"}, {"ref": "ranajanmej/97-5708-voting-classifier-replaced-labels", "kernel_id": "87455169"}, {"ref": "jamesdeluk/ieclassifier", "kernel_id": "87549439"}, {"ref": "adilshamim8/predict-the-introverts-from-the-extroverts", "kernel_id": "87983355"}, {"ref": "daniyalbissenov/predict-the-introverts-from-the-extroverts", "kernel_id": "87733777"}, {"ref": "amldvvs/personality-prediction-optimized", "kernel_id": "87480863"}, {"ref": "amldvvs/personality-prediction-optuna-boosted", "kernel_id": "87536430"}, {"ref": "vaibhavbarala26/predicting-introvert-and-extrovert", "kernel_id": "87764866"}, {"ref": "vrajesh0sharma7/find-introverts-from-extroverts", "kernel_id": "87938842"}, {"ref": "lixuehao/predict-the-introverts-from-the-extroverts-2-1", "kernel_id": "87580885"}, {"ref": "lixuehao/s5e7-introverts-extroverts-mixed-up", "kernel_id": "87767341"}, {"ref": "evansongdozier/introvert-extrovert-model-xgboosted-rfc", "kernel_id": "87823464"}, {"ref": "evansongdozier/intro-extro-model-xgb-rfc-w-iterative-imputation", "kernel_id": "87978259"}, {"ref": "jonathangarcalvarez/personality-prediction-with-xgboost", "kernel_id": "87130647"}, {"ref": "lakshyapalsingh/intro-vs-extrovert", "kernel_id": "87947986"}, {"ref": "jihongyan/predict-the-introverts-from-the-extroverts", "kernel_id": "87195932"}, {"ref": "manishbhatiaml/predicting-human-behaviour-using-deep-learning", "kernel_id": "87831709"}, {"ref": "wawaakiki/notebook5ca20b7547", "kernel_id": "87666662"}, {"ref": "jitamb/introvert-extrovert", "kernel_id": "87856998"}, {"ref": "reaperze/intro-extro", "kernel_id": "87512125"}, {"ref": "pabitraagiri/introvert-and-extrovert-prediction", "kernel_id": "87641094"}, {"ref": "alonzoulery/s5e7-playground", "kernel_id": "87085952"}, {"ref": "mehdiakoudadd/predicting-personality-traits-with-97-accuracy", "kernel_id": "87811178"}, {"ref": "lurmtz/predict-the-introverts-from-the-extroverts-0-965", "kernel_id": "87552887"}, {"ref": "camilochart/introverts-vs-extroverts-data-visualization", "kernel_id": "87087134"}, {"ref": "malek1t/deep-eda-knnimputer-lgbm-logreg-0-975708", "kernel_id": "87133406"}, {"ref": "pqtpcoder/random-forest-with-optuna", "kernel_id": "87285958"}, {"ref": "samsam25/predicting-the-introverts-from-the-extroverts", "kernel_id": "87750477"}, {"ref": "marii8st/finding-introverts-blya", "kernel_id": "87461306"}, {"ref": "sahilislam007/predicting-the-introverts-from-the-extroverts", "kernel_id": "87587293"}, {"ref": "sahilislam007/prediction-introvert-extrovert", "kernel_id": "87589603"}, {"ref": "sahilislam007/predicting-introvert-from-the-extrovert", "kernel_id": "87765276"}, {"ref": "sahilislam007/xgbm-predicting-the-introverts-from-the-extroverts", "kernel_id": "87684604"}, {"ref": "sahilislam007/xgb-lbgm-predicting-the-introverts-extroverts", "kernel_id": "87683272"}, {"ref": "manthan9986/playground-series-s5e7", "kernel_id": "87234983"}, {"ref": "aryansingh2000/introverts-and-extroverts", "kernel_id": "87428181"}, {"ref": "olaflundstrom/playground-series-season-5-episode-7-v3", "kernel_id": "87383016"}, {"ref": "olaflundstrom/ki-ilik-arketiplerinin-tahmini", "kernel_id": "87530453"}, {"ref": "quangjames/s5e7-single-xgb", "kernel_id": "87028896"}, {"ref": "rewantgoenka/introextro", "kernel_id": "87598221"}, {"ref": "tuesdaymatched/voting-model-with-xgb-and-rf", "kernel_id": "87955628"}, {"ref": "tuesdaymatched/lgbm-introvert-extrovert", "kernel_id": "87840668"}, {"ref": "abdullahzbayy/personality-prediction-with-logistic-regression", "kernel_id": "87216510"}, {"ref": "dekxrma/no-models-no-algorithms-0-973279", "kernel_id": "87327516"}, {"ref": "sergioandresv/introvert-extrovert", "kernel_id": "87693324"}, {"ref": "sarthaksingh0903/intro-extrovert-classification-using-xgboost", "kernel_id": "87535768"}, {"ref": "akshobdhira/kaggle-playground-series-july-2025-s5e7", "kernel_id": "87136182"}, {"ref": "johnkihoro/diabetes-eda-neuralnet-diagnosis-prediction", "kernel_id": "87452405"}, {"ref": "ronak2005/introvert-or-extrovert", "kernel_id": "87960816"}, {"ref": "selenge910/notebookbf59503f54", "kernel_id": "87337688"}, {"ref": "allachernova/eda-reaches-0-972469-score", "kernel_id": "87491409"}, {"ref": "allachernova/extroverts-introverts", "kernel_id": "87951809"}, {"ref": "mehulchavan/introvert-checking-model", "kernel_id": "87823722"}, {"ref": "ndeekshith/s5-e7-prediction-intro-extro", "kernel_id": "87832193"}, {"ref": "celinags/personality4", "kernel_id": "87617582"}, {"ref": "xiangli1986/introverted-or-not-that-is-the-question", "kernel_id": "87473394"}, {"ref": "yehorpavshuk/introverts-predictions", "kernel_id": "87049811"}, {"ref": "tsobel/smart-imputing-elegant-pipeline-s5e7", "kernel_id": "87994965"}, {"ref": "abhilasahoo/randomforest-simple-rule-based", "kernel_id": "87084459"}, {"ref": "murtazaabdullah2010/kaggle-playground-introverts-vs-extroverts", "kernel_id": "87748336"}, {"ref": "harshalakshan/predict-introvert-extrovert", "kernel_id": "87435512"}, {"ref": "shuobin/predict-the-introverts-from-the-extroverts", "kernel_id": "87346008"}, {"ref": "divya21yadav/notebookc58c8a21eb", "kernel_id": "87594132"}, {"ref": "zorornoa/introvertpredict", "kernel_id": "87786366"}, {"ref": "hermitsays/winning-lr-96-9-acc-l1", "kernel_id": "87523575"}, {"ref": "yoshinoriiwaguchi/0-975708-clean-preprocessing-simple-lightgbm", "kernel_id": "87914382"}, {"ref": "hadikp/introvert-extrovert-prediction", "kernel_id": "87672495"}, {"ref": "sydneymurphy9873/prediction-of-introverts-vs-extroverts", "kernel_id": "87130580"}, {"ref": "youngdong99/randomforest-ver2", "kernel_id": "87504206"}, {"ref": "shikaixin/notebookbf59503f54-f055db", "kernel_id": "87336425"}, {"ref": "ryumaruy/deta-science-report", "kernel_id": "87338297"}, {"ref": "ryunosukeyonekura/group1", "kernel_id": "87336828"}, {"ref": "tojoshingo/notebookbf59503f54-9fb1e6", "kernel_id": "87337343"}, {"ref": "tojoshingo/notebook64b9776d2a", "kernel_id": "87336634"}, {"ref": "dufmazormf/svm-ver-3", "kernel_id": "87331067"}, {"ref": "razanihababdellatif/introverts-vs-extroverts-clean-eda-lr", "kernel_id": "87568101"}, {"ref": "gnohiro/i-would-appreciate-your-feedback-lgbm-0-971659", "kernel_id": "87641082"}, {"ref": "supunravidu/exploratory-data-analysis", "kernel_id": "87537731"}, {"ref": "hzning/0-973279", "kernel_id": "87046353"}, {"ref": "hzning/0-974089-neural-networks-are-great-too", "kernel_id": "87047089"}, {"ref": "lytvyiv1/pca-rf-knn-lr-base-models-svm-stacking", "kernel_id": "87973618"}, {"ref": "muhammadbahi/predict-the-introverts-from-the-extroverts-project", "kernel_id": "87979869"}, {"ref": "srilekha0829/predict-introverts-and-extroverts", "kernel_id": "87026766"}, {"ref": "mohitghansela/notebookff97d4c95c", "kernel_id": "87848920"}, {"ref": "mukeshyadavpyatla/intovert-extrovert", "kernel_id": "87003997"}, {"ref": "bahmutsky/notebook4026c6b3a3", "kernel_id": "87015214"}, {"ref": "sohailahmedjok/predicting-extrovert-and-introvert", "kernel_id": "87470926"}, {"ref": "peppermintsnow/s4e7-svc-personality-eda-prep-benchmark", "kernel_id": "87258101"}, {"ref": "rafaelarinconp/project-predecir-a-los-introvertidos-grupo-5-intec", "kernel_id": "87390980"}, {"ref": "geancarlorod/intec-predict-the-introverts-grupo-2", "kernel_id": "87439346"}, {"ref": "umehrosita/xgb-rf-0-9757-acc", "kernel_id": "87347809"}, {"ref": "dannyquirouette/predict-intro-vs-extro-dq", "kernel_id": "88167142"}, {"ref": "playingmyway/simplified-predict-introverts-from-extroverts", "kernel_id": "88196992"}, {"ref": "vipulsonje/simple-code-voting-classif-xgboost-and-logistic", "kernel_id": "88341370"}, {"ref": "akshaypatil11/predicting-introverts-from-extroverts", "kernel_id": "88387228"}, {"ref": "nisarbalti/introvert-vs-extrovert", "kernel_id": "88005541"}, {"ref": "interestednoob/personality-prediction", "kernel_id": "88187319"}, {"ref": "trevorhorner/majority-voting-classifier-xgb-rf-ada-lgbm", "kernel_id": "88256354"}, {"ref": "ianpetrustan/0-97-predict-introverts-visualise-log-reg", "kernel_id": "88201952"}, {"ref": "ikubannipaul/introvert-vs-extrovert-classification-prediction", "kernel_id": "88322889"}, {"ref": "whirlwindchaser/notebook559ba6f6b1", "kernel_id": "88016931"}, {"ref": "whirlwindchaser/indoor-human-or-outdoor-human", "kernel_id": "88155103"}, {"ref": "yaramohamed512002/introvert-extrovert-prediction", "kernel_id": "88472732"}, {"ref": "lanamaslenkova/starter-pack-logistic-regression", "kernel_id": "88145200"}, {"ref": "waqasishtiaq/predicting-personality", "kernel_id": "88267894"}, {"ref": "EagleOnAI/s05-e07-introvert-extrovert", "kernel_id": "88279550"}, {"ref": "EagleOnAI/introvert-and-extrovert", "kernel_id": "88278969"}, {"ref": "ameniayedi/predict-the-introverts-from-the-extroverts-sample", "kernel_id": "88177141"}, {"ref": "minglv/introverts-extroverts-beginner", "kernel_id": "88905036"}, {"ref": "srinivasta/introvert-extrovert-prediction", "kernel_id": "88052632"}, {"ref": "jaramireciro/introvert-extrovert-pred-imputer-regularizat", "kernel_id": "88005426"}, {"ref": "sumit08/predict-the-introverts-from-the-extroverts", "kernel_id": "88009865"}, {"ref": "dustinober/introverts-vs-extroverts", "kernel_id": "88012766"}, {"ref": "devrimberkecanfindik/intro-extro-rfc", "kernel_id": "88103084"}, {"ref": "divyamnayyar/score-0-974089-random-forest-s5e7-beginner", "kernel_id": "88368662"}, {"ref": "yogeshkumaragrawal/are-you-an-intovert", "kernel_id": "88140970"}, {"ref": "vladimirmataev/weighted-ensemble", "kernel_id": "88047912"}, {"ref": "vet231199/personality-prediction-using-catboost", "kernel_id": "88683889"}, {"ref": "kaneezfatima860021/final-introvert-extrovert-notebook", "kernel_id": "88230676"}, {"ref": "kaneezfatima860021/extrovert-introvert-prediction", "kernel_id": "88085333"}, {"ref": "kaneezfatima860021/introvert-extrovert-competition", "kernel_id": "88090886"}, {"ref": "alkidiarete/tensorflow-decision-forests-personality", "kernel_id": "88258680"}, {"ref": "alkidiarete/introverts-hillclimbing", "kernel_id": "88192137"}, {"ref": "matejkamenicky/introvert-or-extrovert-xgboost", "kernel_id": "88230847"}, {"ref": "sukhmansaran/introvert-extrovert-rf", "kernel_id": "88240760"}, {"ref": "sukhmansaran/introvert-extrovert-xgboost", "kernel_id": "88243397"}, {"ref": "sandyg6/personality-prediction-using-catboost62226ea49f", "kernel_id": "88427341"}, {"ref": "stemosamaghandour/by-osama-geris", "kernel_id": "88016183"}, {"ref": "hafizmuaz9595/predict-the-introverts-from-the-extroverts", "kernel_id": "88908900"}, {"ref": "abdulwajad/personality-prediction-model", "kernel_id": "88082755"}, {"ref": "moonfaced/introvert", "kernel_id": "88047695"}, {"ref": "balaramnaidu/predicting-introverts-by-filling-nulls", "kernel_id": "88161723"}, {"ref": "danielgurwindas/predict-introvert-from-extrovert", "kernel_id": "88124725"}, {"ref": "syedlaraib/introvert-v-s-extrovert", "kernel_id": "88078199"}, {"ref": "rashimishra19/introverts-from-the-extroverts", "kernel_id": "88600670"}, {"ref": "danuherath/introversion-prediction-binary-classification", "kernel_id": "88006260"}, {"ref": "archisman15/2nd-of-ml-based-classification-of-introverts-and", "kernel_id": "88086499"}, {"ref": "riomario/personality-type-predictions", "kernel_id": "88219531"}, {"ref": "xenowing/how-i-cleaned-and-analyzed-my-first-realworld-data", "kernel_id": "88002312"}, {"ref": "shubhamyydv578/notebook556b18ad0b", "kernel_id": "88363530"}, {"ref": "harshgupta4444/personality-prediction-introvert-vs-extrovert-k", "kernel_id": "88160678"}, {"ref": "saipranav1238/introvert-extrovert", "kernel_id": "88423437"}, {"ref": "rosebeltran/introvert-archetypes-outliers-top-3-solution", "kernel_id": "88339567"}, {"ref": "thufailahamedvj/notebook01e443d36c", "kernel_id": "88308924"}, {"ref": "sashankgarg23/introvert-and-extrovert", "kernel_id": "88293763"}, {"ref": "manishrathaur/notebook83c110a6b7", "kernel_id": "88144503"}, {"ref": "quiirkycodes/introvert-extrovert", "kernel_id": "88898352"}, {"ref": "sbmshukla/predict-the-introverts-from-the-extroverts", "kernel_id": "88742891"}, {"ref": "shivamshetty/extroverts-introverts", "kernel_id": "88230193"}, {"ref": "abhisheksinha01111/i-wonder-what-i-am", "kernel_id": "88196712"}, {"ref": "dmitrygilemkhanov/automl-fedot", "kernel_id": "88191832"}, {"ref": "amisha1571/introvertextrovert", "kernel_id": "88311680"}, {"ref": "rattans/introvert-or-extrovert-classification", "kernel_id": "88114882"}, {"ref": "chikaranakata/notebookf5bd1a5709", "kernel_id": "88056529"}, {"ref": "melto0523/notebookfc0d7761ac", "kernel_id": "88039953"}, {"ref": "i0nlyaziz/predict-the-introverts-from-the-extroverts", "kernel_id": "88397026"}, {"ref": "pratham233545/predict-the-introverts-from-the-extroverts", "kernel_id": "88646386"}, {"ref": "dchehe/predicting-the-introvert-while-being-1-t-t", "kernel_id": "88201367"}, {"ref": "abdurrahmanucak/predict-the-introverts-from-the-extroverts", "kernel_id": "88299419"}, {"ref": "camilochart/introverts-vs-extroverts-randomforest-fillna-xgb", "kernel_id": "88329541"}, {"ref": "menhari/winner-of-introvert-extrovert", "kernel_id": "88315916"}, {"ref": "menhari/beginner-friendly-extrover-introvert", "kernel_id": "88317017"}, {"ref": "savitasrivastava1402/ml-based-classification-of-introverts-and-extrover", "kernel_id": "88044298"}, {"ref": "santhoshperiasamy02/predict-the-introverts-from-the-extroverts-model", "kernel_id": "88729211"}, {"ref": "yujung1125/introverts-or-extroverts-using-gradientboost", "kernel_id": "88388848"}, {"ref": "quangjames/s5e7-voting-with-rf-xgb-lf", "kernel_id": "88046540"}, {"ref": "quangjames/s5e7-random-forest", "kernel_id": "88005860"}, {"ref": "trongkhang/predict-the-introverts", "kernel_id": "88262368"}, {"ref": "nicdeluc/personality-classification-with-stacking-no-orig", "kernel_id": "88316043"}, {"ref": "rajgupta987/personality-prediction", "kernel_id": "88632888"}, {"ref": "haider8578/introvert-extrovert-eda-svm-accuracy-97-1", "kernel_id": "88434725"}, {"ref": "tsobel/imputing-by-quantile-boosting-ensembles", "kernel_id": "88014255"}, {"ref": "tsobel/autogluon-imputing-by-quantiles", "kernel_id": "88140561"}, {"ref": "catsvsdogslala/introvert-extrovert", "kernel_id": "88096780"}, {"ref": "bloomybloom/removing-data-leakage-using-nans", "kernel_id": "88095991"}, {"ref": "bloomybloom/using-nans-identifying-data-leakage", "kernel_id": "88091418"}, {"ref": "bloomybloom/multiple-classifiers-k-folds-nans", "kernel_id": "88151287"}, {"ref": "bloomybloom/predict-personality-traits", "kernel_id": "88015918"}, {"ref": "nicholechristie/notebook12dc146197", "kernel_id": "88101718"}, {"ref": "harshme3hta/intovert-extrovert-sample2", "kernel_id": "88391949"}, {"ref": "supriya216/predicting-introverts-from-extroverts", "kernel_id": "88275302"}, {"ref": "cengizgurel/s05e07-a-beginner-s-notebook", "kernel_id": "88145076"}, {"ref": "sanskarshindeds/personality-prediction", "kernel_id": "88004913"}, {"ref": "lyraluo/i-e-prediction", "kernel_id": "88113037"}, {"ref": "sacaefasdasdas/s7e5-introverts-and-extroverts-score-0-976518", "kernel_id": "88416360"}, {"ref": "kdyuta/notebookf95c7b71ba", "kernel_id": "88050691"}, {"ref": "the5secondrule/predict-intro-extro-vert-using-nn", "kernel_id": "88471742"}, {"ref": "tomods/s5e7-20250814", "kernel_id": "89355142"}, {"ref": "sandeepgauti/predict-the-introverts-from-the-extroverts", "kernel_id": "89620901"}, {"ref": "noohinaaz/mapping-personality-observed-visualized-predict", "kernel_id": "89910287"}, {"ref": "jagaimofan/notebook-prediction-personality-xgboost", "kernel_id": "89355202"}, {"ref": "ecealmirakaya/fork-of-introvert-vs-extrovert-using-voting", "kernel_id": "89121737"}, {"ref": "n4navii/monte-carlo-tree-search", "kernel_id": "89660311"}, {"ref": "mouryagna/predict-introvert-vs-extrovert", "kernel_id": "89185628"}, {"ref": "nanda0110/introvert-ekstrovert", "kernel_id": "89394434"}, {"ref": "aneevinay/introvert-predictions", "kernel_id": "89298308"}, {"ref": "asadwani/intorvert-extrovertprediction", "kernel_id": "89197431"}, {"ref": "antonglushko1/notebooka9dbe9c6c5", "kernel_id": "89162885"}, {"ref": "arayzwasti/predict-the-introverts-from-the-extroverts", "kernel_id": "89245491"}, {"ref": "arayzwasti/predict-the-introvert-from-the-extrovert", "kernel_id": "89454153"}, {"ref": "sachinkulkarni0/gridsearch-multiple-models-xgboost", "kernel_id": "90919045"}, {"ref": "stpeteishii/introverts-ensemble-ridge-stacking", "kernel_id": "90388889"}, {"ref": "stpeteishii/introverts-ensemble-holdout-guided-blending", "kernel_id": "90404223"}, {"ref": "christopherarzate/introvert-or-extrovert", "kernel_id": "90534273"}, {"ref": "sanjaybora143/introverts-and-extroverts-logistic-regression", "kernel_id": "90794572"}, {"ref": "nilanjansaha123/simple-feature-engineering-97", "kernel_id": "90485053"}, {"ref": "aabdollahii/extrovert-vs-introverts-classification-96-acc", "kernel_id": "90359246"}, {"ref": "kaustavroychowdhury/personality-prediction-with-lightgbm", "kernel_id": "90595809"}, {"ref": "obenmccauley/kmeans-with-logistic-regression", "kernel_id": "90207006"}, {"ref": "zhangpinrui/logsitic", "kernel_id": "90271375"}, {"ref": "benjaminlundkvist/personality-prediction-with-lightautoml", "kernel_id": "90413953"}, {"ref": "ssk53573/inrtroextro-sujal-tns", "kernel_id": "91194303"}, {"ref": "cedricbrzyski/introvert-notebook", "kernel_id": "91316740"}, {"ref": "mahmoudmahmad/search-grid-logestic", "kernel_id": "91349121"}, {"ref": "abdullahzbayy/notebook", "kernel_id": "91013726"}, {"ref": "samiratasneem/personality-prediction-using-logistic-regression", "kernel_id": "92325395"}, {"ref": "wguesdon/ps5e7-eda-model", "kernel_id": "93122195"}, {"ref": "ceecreative/predict-the-introverts-from-the-extroverts", "kernel_id": "93512363"}, {"ref": "yogaamandaputra/introvert-extrovert", "kernel_id": "93226722"}, {"ref": "hmnshudhmn24/tpt-s5e7-baseline-rf", "kernel_id": "93346016"}, {"ref": "shreyanshdangi/day1-eda-personalityprediction", "kernel_id": "94842087"}, {"ref": "shreyanshdangi/day2-pca-logisticreg-personalityprediction-96-51", "kernel_id": "94947611"}, {"ref": "staniska/predict-introverts-lgb-96-9", "kernel_id": "95258426"}, {"ref": "ayidperera/3-supervised-ml-pipeline-for-predicting-personali", "kernel_id": "95645214"}, {"ref": "shreyanshdangi/day6-knn-svm-naive-personalityprediction-96-59", "kernel_id": "95646241"}, {"ref": "shreyanshdangi/day5-xgboost-personalityprediction-96-57", "kernel_id": "95641888"}, {"ref": "shreyanshdangi/day4-randomforest-personalityprediction-96-54", "kernel_id": "95275916"}, {"ref": "shreyanshdangi/day3-decisiontree-personalityprediction-96-51", "kernel_id": "95253011"}, {"ref": "shreyanshdangi/day8-pca-kmeansclustering-personalityprediction", "kernel_id": "96191822"}, {"ref": "avdhutdandekar/introvert-extrovert", "kernel_id": "96847297"}, {"ref": "anshulkalmegh/introvert-and-extrovert", "kernel_id": "96492908"}, {"ref": "hughchoi/mice-hyperopt-exploration-playground-comp", "kernel_id": "96436999"}, {"ref": "frankmandele/random-forest-baseline", "kernel_id": "97266567"}, {"ref": "priashamukherjee/notebook7f7e8a1f61", "kernel_id": "97633566"}, {"ref": "osmansevili/introverts-from-extroverts", "kernel_id": "97289940"}, {"ref": "shekeloatmeal/predict-the-introverts-from-the-extroverts", "kernel_id": "100724021"}, {"ref": "gamzebabayigit/introverts-from-extroverts", "kernel_id": "101774131"}, {"ref": "leoxu12/introvert-detect", "kernel_id": "102472723"}, {"ref": "mahn17/notebookef966b85f7", "kernel_id": "103711656"}, {"ref": "anasofiamattirios/proyectofinalpatrones", "kernel_id": "103414210"}, {"ref": "handeharmankaya/introverts-vs-extroverts-prediction", "kernel_id": "103543576"}, {"ref": "dinais/introvertido-extrovertido", "kernel_id": "103606840"}, {"ref": "jesusernestocarrasco/proyectofinal", "kernel_id": "103701554"}, {"ref": "luisjcome/introverts-vs-extroverts", "kernel_id": "103623857"}, {"ref": "danielquihuis/introvertidos-vs-extrovertidos", "kernel_id": "103698676"}, {"ref": "leetmus/introvert-vs-extrovert", "kernel_id": "104340824"}, {"ref": "vatoshekishvili/personality-sheki-version1", "kernel_id": "104997713"}, {"ref": "sigmoidz/introvert-extrovert-classification", "kernel_id": "105953543"}, {"ref": "kumarshrid/introvertdataanalysislgbm", "kernel_id": "105227730"}, {"ref": "indifferencenpc/xgboost", "kernel_id": "105741392"}, {"ref": "indifferencenpc/notebookfca1048acc", "kernel_id": "105214929"}, {"ref": "indifferencenpc/deepseek", "kernel_id": "105116864"}, {"ref": "alexalex123432/predict-the-introverts-from-the-extroverts-task", "kernel_id": "105543081"}, {"ref": "alexalex123432/predict-the-introverts-from-the-extroverts-task1", "kernel_id": "105548273"}, {"ref": "leonchani/11-baseline-titanic-machine-learning-from-disaster", "kernel_id": "107254699"}, {"ref": "nancy99/personality-prediction", "kernel_id": "107283818"}, {"ref": "sevvalclalcebeciolu/predict-the-introverts-from-the-extroverts", "kernel_id": "108703902"}, {"ref": "leyuzakoksoken/predicting-introversion-signal-classifier", "kernel_id": "108168537"}, {"ref": "udita12345/predicting-extrovert-or-introvert", "kernel_id": "109817743"}, {"ref": "naruto2009/hw7-misiscourse-introverts-prediction", "kernel_id": "109446554"}, {"ref": "nicolasdioubate/prediction-introvert-vs-extrovets", "kernel_id": "110458673"}, {"ref": "nihalba/predict-the-introverts-from-the-extroverts", "kernel_id": "113636561"}, {"ref": "evgendvorkin/stacking-lb-privat-0-968825", "kernel_id": "114573293"}, {"ref": "omeraydin1/ed-n-kd-ad-n-k-classification", "kernel_id": "115277705"}, {"ref": "tugcebasyigit/predict-the-introverts-from-the-extroverts-0-96", "kernel_id": "115957426"}, {"ref": "mohamedelkhamaty/mining-project", "kernel_id": "116365659"}, {"ref": "yousefsediek/mining-project", "kernel_id": "116318620"}, {"ref": "mohamedramadan3/notebook3c008eb119", "kernel_id": "116397613"}, {"ref": "afauzanadhima/introvert-extrovert-classification-lgbm-scratch", "kernel_id": "117310855"}, {"ref": "seguride/takeout-2nd", "kernel_id": "117239275"}, {"ref": "nitinnainwal/notebook0e21a680f0", "kernel_id": "118780435"}, {"ref": "asifkhan22/introvert-vs-extrovert-prediction", "kernel_id": "119936898"}, {"ref": "basaktamer/predict-the-introverts-from-the-extroverts", "kernel_id": "119269405"}, {"ref": "omarelfadaly/extro-intro-prediction", "kernel_id": "120591566"}, {"ref": "mhskaya/predict-the-introverts-from-the-extroverts", "kernel_id": "122914194"}, {"ref": "bobbybrandy/personality-checkup", "kernel_id": "126803625"}, {"ref": "zqx960151285/predict-the-introverts-from-the-extroverts", "kernel_id": "129497376"}, {"ref": "harithmunirathne/logistic-regression-predict-the-introverts-and-ext", "kernel_id": "129170481"}]}
{"competition_id": "91719", "kernels": [{"ref": "samanfatima7/eda-usefull-insights-for-f-e", "kernel_id": "86274250"}, {"ref": "dalloliogm/pgs5e8-bank-autogluon", "kernel_id": "88359541"}, {"ref": "molozhenko/playground-s5e8-stacked-ensemble", "kernel_id": "88375519"}, {"ref": "molozhenko/playground-s5e8-enhanced-lightgbm", "kernel_id": "88427621"}, {"ref": "molozhenko/playground-s5e8-advanced-lightgbm", "kernel_id": "88445457"}, {"ref": "rene4315563/data-exploration", "kernel_id": "88375113"}, {"ref": "abisheksrivastav/xgb-lgb-optuna", "kernel_id": "88786837"}, {"ref": "abisheksrivastav/xgb-lightgbm", "kernel_id": "88446203"}, {"ref": "stevenrferrer/ps5e8-simple-eda", "kernel_id": "88431949"}, {"ref": "stevenrferrer/ps5e8-pushing-the-limits-of-logistic-regression", "kernel_id": "88394709"}, {"ref": "eagerlyyo/aug-1-1", "kernel_id": "88398977"}, {"ref": "yekenot/ps-s5-e8-deeptables-nn", "kernel_id": "88576786"}, {"ref": "jacekwl/s5e8-xgb-baseline-beginner-friendly", "kernel_id": "88361152"}, {"ref": "lucabasa/s05e08-banks", "kernel_id": "88411490"}, {"ref": "uduntu/lightgbm-xgboost-ensemble", "kernel_id": "88363154"}, {"ref": "docxian/ps-s5-e08-bank-data-binary-classification", "kernel_id": "88371263"}, {"ref": "codingloading/autogluon-tutorial-fast-furious", "kernel_id": "88349189"}, {"ref": "mohammedessam97/bdp-stratified-5-fold-meta-model-ensemble", "kernel_id": "88366916"}, {"ref": "psywarrior/bank-subscription-prediction-baseline", "kernel_id": "88791150"}, {"ref": "dellalkhaled/predict-with-gpt2", "kernel_id": "88454212"}, {"ref": "smitaezhava/lgbmgridsearch-bank-deposit-subscription", "kernel_id": "88897426"}, {"ref": "yoshifumimiya/only-lgbm-seed-ensemble", "kernel_id": "88900244"}, {"ref": "yoshifumimiya/only-lgbm-no-fe", "kernel_id": "88678546"}, {"ref": "yoshifumimiya/ps-s5e8-lightgb-model-no-fe-cv-10", "kernel_id": "88687948"}, {"ref": "yoshifumimiya/ps-s5e8-lgbm-no-fe-cv15-hp-noaug", "kernel_id": "88696828"}, {"ref": "stpeteishii/bank-data-saint", "kernel_id": "88392711"}, {"ref": "stpeteishii/bank-data-catboost", "kernel_id": "88382359"}, {"ref": "stpeteishii/bank-binary-prediction-xgboost-pipeline", "kernel_id": "88887124"}, {"ref": "mpwolke/binary-bank-termdip-zet", "kernel_id": "88339198"}, {"ref": "cid007/binary-bl-nn1", "kernel_id": "88348411"}, {"ref": "kumarkatariya/excellent-for-beginner-xgboost-repeatedcv-96-67", "kernel_id": "88377508"}, {"ref": "kumarkatariya/binary-classification-with-hyper-parameter-tuning", "kernel_id": "88513336"}, {"ref": "kumarkatariya/auc-0-96517", "kernel_id": "88575970"}, {"ref": "gurseeon/pass-benchmark-in-3-basic-steps", "kernel_id": "88449865"}, {"ref": "aakcay/feature-analysis-ensemble-learning-s5e8", "kernel_id": "88412314"}, {"ref": "irfanahmad1/eda-mastery-before-model-15-visuals", "kernel_id": "88411679"}, {"ref": "irfanahmad1/bank-marketing-lightgbm-catboost-ensemble", "kernel_id": "88398992"}, {"ref": "irfanahmad1/bank-marketing-predictor-enhanced-autogluon", "kernel_id": "88397692"}, {"ref": "irfanahmad1/bank-deposit-simple-optuna-ensemble", "kernel_id": "88469153"}, {"ref": "kkhandekar/01-classif-bank-stackingclassifier-lgbm-catb", "kernel_id": "88734568"}, {"ref": "aasirwaseer/bank-dataset-lgb-cat-xgb", "kernel_id": "88764975"}, {"ref": "stepanmaykov/ensemble-catboost-xgboost-lightgbm", "kernel_id": "88584753"}, {"ref": "stepanmaykov/catboostclassifier-stratifiedkfold", "kernel_id": "88893513"}, {"ref": "stepanmaykov/catboostclassifier", "kernel_id": "88798545"}, {"ref": "stepanmaykov/3-catboostclassifier-ensemble", "kernel_id": "88871769"}, {"ref": "pinoystat/deep-learning-keras-nn-binary-classification", "kernel_id": "88587008"}, {"ref": "yeonseokcho/classification-with-bank-data-dnn", "kernel_id": "88502543"}, {"ref": "lonnieqin/bank-marketing-prediction-catboost-lightgbm", "kernel_id": "88438405"}, {"ref": "aaronisomaisom3/s5e8-xgboost-optuna-starter", "kernel_id": "88683289"}, {"ref": "aaronisomaisom3/s5e8-voting-classifier", "kernel_id": "88813350"}, {"ref": "aaronisomaisom3/s5e8-tabpfn-subsampling", "kernel_id": "88903012"}, {"ref": "aaronisomaisom3/s5e8-optuna-tuned-lgbm", "kernel_id": "88913628"}, {"ref": "shuntakinami/the-most-simple-tabnet-model", "kernel_id": "88635930"}, {"ref": "yuvrajdeshmukh/bank-dataset-prediction-using-stacking", "kernel_id": "88955586"}, {"ref": "hopesb/binary-classification-with-bank-dataset", "kernel_id": "88524706"}, {"ref": "swas06/bankdataset-eda", "kernel_id": "88378750"}, {"ref": "swas06/banksubscription-baselinemodel", "kernel_id": "88382801"}, {"ref": "swas06/banksubscription-models", "kernel_id": "88604158"}, {"ref": "swas06/banksubscription-ensemblemodels", "kernel_id": "88917264"}, {"ref": "kratipandya/bank-data-binary-classification", "kernel_id": "88955947"}, {"ref": "paoforml/rf-feature-engineering", "kernel_id": "88893756"}, {"ref": "tracyporter/play-5-8-extra-trees-classifier", "kernel_id": "88800437"}, {"ref": "tracyporter/play-5-8-histgradboost", "kernel_id": "88957289"}, {"ref": "tracyporter/play-5-8-log-reg", "kernel_id": "88954715"}, {"ref": "tracyporter/play-5-8-tf", "kernel_id": "88900300"}, {"ref": "kirillkuznetsov/bank-dataset", "kernel_id": "88455068"}, {"ref": "sirenaalyce/playground-5-08-submission", "kernel_id": "88680152"}, {"ref": "lokihaha/baseline-xgboost-lightgbm-catboost", "kernel_id": "88648138"}, {"ref": "rikansaha/binary-classification-with-bank-data-v1-0", "kernel_id": "88400656"}, {"ref": "molanang/term-deposit-subscriber-prediction-series-5-08", "kernel_id": "88956998"}, {"ref": "ozguraslank/s5e8-kick-start-with-flexml", "kernel_id": "88499247"}, {"ref": "jimgruman/bank-deposit-class", "kernel_id": "88381768"}, {"ref": "casati8/kaggle-s5e8-fastai", "kernel_id": "88495417"}, {"ref": "yulyaodintsova/eda-logistic-regression-lgbmclassifier", "kernel_id": "88662844"}, {"ref": "krutovsky/tabm-baseline", "kernel_id": "88794617"}, {"ref": "battletaco/xgb-classifier-pipeline-with-feature-combinations", "kernel_id": "88543884"}, {"ref": "trixietacung/bank-term-deposit-eda-prediction-with-xgboost", "kernel_id": "88489635"}, {"ref": "leonchani/01-only-eda-binary-classification-bank-dataset", "kernel_id": "88853705"}, {"ref": "maverickss26/bank-classification-solution-v1", "kernel_id": "88387457"}, {"ref": "maverickss26/bank-classification-v2", "kernel_id": "88487058"}, {"ref": "conradkleykamp/bank-subscription-prediction-xgboost", "kernel_id": "88585080"}, {"ref": "barbagrande007/bbg007-bankclassification", "kernel_id": "88452924"}, {"ref": "osamaakhaled/eda-cleaning-modeling", "kernel_id": "88779852"}, {"ref": "kwakubonsuwiredu/best-prediction-on-bank-data", "kernel_id": "88566496"}, {"ref": "satyaprakashshukl/eda-bank-prediction", "kernel_id": "88490939"}, {"ref": "satyaprakashshukl/h20-classification-bank", "kernel_id": "88657442"}, {"ref": "kakuteki/lgb-model-bank-dataset", "kernel_id": "88345981"}, {"ref": "ravi20076/playgrounds5e8-public-imports-v1", "kernel_id": "88340437"}, {"ref": "ravi20076/playgrounds5e8-public-baseline-v1", "kernel_id": "88340608"}, {"ref": "balajivaraprasad/bank-prediction-xgb-cat-lgbm-0-97705-lb", "kernel_id": "88591357"}, {"ref": "petermoorhouse/sklearn-predicting-bank-deposit-subscriptions", "kernel_id": "88340337"}, {"ref": "milannagy/dl-w-pytorch-dynamic-embedding", "kernel_id": "88675222"}, {"ref": "valliansayoga/stacked-calibrated-models", "kernel_id": "88654963"}, {"ref": "valliansayoga/simple-baseline-calibrated-histgb", "kernel_id": "88391292"}, {"ref": "kirtibohra/binary-classification-lightbgm-catboost", "kernel_id": "88463061"}, {"ref": "kirtibohra/bank-dataset-classification-using-catboost", "kernel_id": "88451357"}, {"ref": "kirtibohra/bank-dataset-classification-using-lightgbm", "kernel_id": "88390472"}, {"ref": "klyushnik/blendings5-e8-0-96874", "kernel_id": "88606461"}, {"ref": "insmora/ps5e8-customer-behavior-prediction", "kernel_id": "88570276"}, {"ref": "thuandao/bank-marketing-eda-business-analysis", "kernel_id": "88909418"}, {"ref": "uuratl/money-money-money-must-be-funny-xgbclassifer", "kernel_id": "88512434"}, {"ref": "chitrakshsingh/bank-dataset-ml", "kernel_id": "88466384"}, {"ref": "rv1922/classification-of-bank-data-using-xgb", "kernel_id": "88343814"}, {"ref": "rv1922/binary-classification-eda-ml", "kernel_id": "88429148"}, {"ref": "rv1922/lightautoml-does-97-135-bank-data", "kernel_id": "88435658"}, {"ref": "rv1922/lightgbm-power-binary-classifier-auc-0-97", "kernel_id": "88435662"}, {"ref": "dhineshbabbu/adb-binary-classification-with-a-bank-dataset", "kernel_id": "88397142"}, {"ref": "karltonkxb/ps5e8-bank-all-you-need-feature-engineering", "kernel_id": "88397484"}, {"ref": "bluchuay/tf-catboost-stacking-ensemble-binary-class", "kernel_id": "88742541"}, {"ref": "umutcihan/catboost-baseline", "kernel_id": "88455532"}, {"ref": "anotherbadcode/predictive-modeling-for-bank-marketing", "kernel_id": "88387648"}, {"ref": "rohansardar/s5e8-stackingclassifier-xgb-lgbm-optuna", "kernel_id": "88343123"}, {"ref": "rubanzasilva/eda-fast-ai-neural-nets-gradient-boosting", "kernel_id": "88430274"}, {"ref": "mariusborel/banking-classification-base-models", "kernel_id": "88345243"}, {"ref": "mariusborel/h2o-is-worth-trying", "kernel_id": "88468019"}, {"ref": "mariusborel/cat-boosted-banking-deposit", "kernel_id": "88982752"}, {"ref": "kumarishivangi/binary-classification-with-a-bank-dataset", "kernel_id": "88818209"}, {"ref": "minglv/bank-deposit-prediction-rf-cboost-lgbm-ann-xgb", "kernel_id": "88450981"}, {"ref": "srinivasta/bank-binary-classification", "kernel_id": "88899926"}, {"ref": "prk123/deep-learning-basics-with-playgrounds", "kernel_id": "88600559"}, {"ref": "masayakawamata/s5e8-lgbm-orig-comparisons", "kernel_id": "88345268"}, {"ref": "a3amat02/s5e8-challenge-starter-pack-lightgbm", "kernel_id": "88389813"}, {"ref": "francescoliveras/ps-s5-e8-eda-model-en-es", "kernel_id": "88797546"}, {"ref": "jaramireciro/binary-classification-eda-prediction", "kernel_id": "88404700"}, {"ref": "abhinavsharma0706/bank-binary-classification", "kernel_id": "88558664"}, {"ref": "evin97/binary-classification-with-bank-dataset", "kernel_id": "88377255"}, {"ref": "kureeltanishq/bank-dataset-classif-ensemble-96-8", "kernel_id": "88499849"}, {"ref": "vh10935cse20/bank-prediction-xgb", "kernel_id": "88386570"}, {"ref": "devrimberkecanfindik/s5e8-xgb-lgbm-ensemble", "kernel_id": "88380122"}, {"ref": "sasaleaf/changed-ensemble-weights", "kernel_id": "88505201"}, {"ref": "bestwater/load-of-v9-of-autogluon-playground-series-s5e8", "kernel_id": "88502757"}, {"ref": "bestwater/v10-of-autogluon-playground-s5e8", "kernel_id": "88509419"}, {"ref": "bestwater/v11-of-autogluon-playground-s5e8", "kernel_id": "88509454"}, {"ref": "bestwater/load-of-v1-of-autogluon-playground-series-s5e8", "kernel_id": "88425009"}, {"ref": "bestwater/load-of-v3-of-autogluon-playground-series-s5e8", "kernel_id": "88424799"}, {"ref": "bestwater/load-of-v6-of-autogluon-playground-series-406cd6", "kernel_id": "88425422"}, {"ref": "bestwater/load-of-v2-of-autogluon-playground-series-s5e", "kernel_id": "88424367"}, {"ref": "bestwater/load-of-v12-of-autogluon-playground-s5e8", "kernel_id": "88562651"}, {"ref": "bestwater/load-of-v13-of-autogluon-playground-s5e8", "kernel_id": "88586197"}, {"ref": "bestwater/binary-classification", "kernel_id": "88626960"}, {"ref": "bestwater/v2-of-pg-s5e8-single-xgb", "kernel_id": "88748692"}, {"ref": "bestwater/v1-of-pg-s5e8-single-xgb-cv-0-975782-lb-0-9", "kernel_id": "88745678"}, {"ref": "bestwater/v4-of-autogluon-playground-series-s5e8", "kernel_id": "88357533"}, {"ref": "bestwater/v5-of-autogluon-playground-series-3d48f4", "kernel_id": "88357535"}, {"ref": "bestwater/v7-of-autogluon-playground-series-b1e82e", "kernel_id": "88357542"}, {"ref": "bestwater/autogluon-playground-series-s5e8", "kernel_id": "88342212"}, {"ref": "anmuser/bank-classification-rf", "kernel_id": "88681034"}, {"ref": "anmuser/bank-classification-xgboost", "kernel_id": "88681926"}, {"ref": "bvinning/playground-s5e8-train-lightgbm-0-97133", "kernel_id": "88989871"}, {"ref": "atharva0577/s5e8-bank-marketing", "kernel_id": "88356661"}, {"ref": "surenvayradyan/score-0-97-catboost-vs-lgbm-stratifiedkfold-cv", "kernel_id": "88498315"}, {"ref": "syednazmussakib/s5-e8-xgboost-hpt-oof", "kernel_id": "88400424"}, {"ref": "yogeshbawankar/beginner-to-grandmaster", "kernel_id": "88790548"}, {"ref": "les1781/binary-predict-bank-data-playground-series-s5e8", "kernel_id": "88398795"}, {"ref": "dhanunjayanaidubade/stackmodel-xgboost-catboost-optuna-tuning", "kernel_id": "88665062"}, {"ref": "vishnupriyagarige/bank-data-binary-classification", "kernel_id": "88346221"}, {"ref": "ganeshmohane/competition-01-binary-classification", "kernel_id": "88908907"}, {"ref": "abeshith/term-deposit-sounds-boring-model-agrees", "kernel_id": "88353311"}, {"ref": "devendew/rf-lightgbm-xgboost", "kernel_id": "88863054"}, {"ref": "eastingbeast/lightgbm-with-cross-validation", "kernel_id": "88634710"}, {"ref": "itasps/0-97705-cv-0-97604-pg-s5e8-single-xgb", "kernel_id": "88647787"}, {"ref": "itasps/0-97374-cv-0-9721-ps-s5e8-single-mlp", "kernel_id": "88763899"}, {"ref": "itasps/0-97647-lgbm-with-a-bank-dataset-ps-s5e8", "kernel_id": "88384736"}, {"ref": "serhiikravtsov/ps5e8-bank-term-deposit-baseline", "kernel_id": "88527126"}, {"ref": "snehalkhandewale/binary-classification-bank-dataset", "kernel_id": "88577507"}, {"ref": "garrickchinnis/binary-classification-with-a-bank-data-xgboost", "kernel_id": "88390005"}, {"ref": "charleskluis/failed-lb-tuning-attempt", "kernel_id": "88602523"}, {"ref": "darkdevil18/0-97596-subscribe-or-not-no-blend", "kernel_id": "88376912"}, {"ref": "vet231199/lgbm-binary-classification", "kernel_id": "88402417"}, {"ref": "sidikp/xgboost-baseline-lb-0-96783", "kernel_id": "88669374"}, {"ref": "sidikp/bank-marketing-analysis-baseline-benchmark", "kernel_id": "88661374"}, {"ref": "udaykanchanpally/pgs5e8-eda-analaysis", "kernel_id": "88404288"}, {"ref": "saigouthampydi/xgboost-tuning-top-score", "kernel_id": "88454310"}, {"ref": "vinodkumargurjar/binary-classification-beginner-guide", "kernel_id": "88558458"}, {"ref": "sukhmansaran/would-you-deposit-gpu", "kernel_id": "88405404"}, {"ref": "francescoalbanesephd/s5e8-four-model-weighted-ensamble-v1-2", "kernel_id": "88388741"}, {"ref": "jpvargas/ps5e8-bank-dataset-binary-classification", "kernel_id": "88572181"}, {"ref": "viviansam/bank-term-deposit-prediction-with-xgboost", "kernel_id": "88539886"}, {"ref": "viviansam/bank-term-deposit-prediction-with-catboost-2", "kernel_id": "88746148"}, {"ref": "viviansam/bank-term-deposit-prediction-with-catboost", "kernel_id": "88350674"}, {"ref": "jmascacibar/the-original-dilemma", "kernel_id": "88915080"}, {"ref": "ouzhanakr/ps-s5e8-xgboost-optuna", "kernel_id": "88485723"}, {"ref": "cristobaltudela/deep-mlp-ps-s5e8", "kernel_id": "88353357"}, {"ref": "shadesh/bank-marketing-binary-classification-with-lightgbm", "kernel_id": "88686660"}, {"ref": "shadesh/lightgbm-as-the-model", "kernel_id": "88447807"}, {"ref": "lizzylee1111111111/cat-xgb-lgb-sklearnpipeline-ridge", "kernel_id": "88686516"}, {"ref": "amerhu/ranked-power-ensemble-ps-s5e8-submission", "kernel_id": "88568284"}, {"ref": "amerhu/full-pipeline-lgbm-stratified-cv", "kernel_id": "88460722"}, {"ref": "hamidrezakazemi/from-data-to-insights-visual-banking-eda", "kernel_id": "88998915"}, {"ref": "engineerfrabbi/binary-classification-with-a-bank-dataset", "kernel_id": "88569216"}, {"ref": "engineerfrabbi/fork-of-binary-classification-with-a-bank-dataset", "kernel_id": "88772819"}, {"ref": "hamzanaobahar/ss5e7", "kernel_id": "88482876"}, {"ref": "moonfaced/bank-binary", "kernel_id": "88661570"}, {"ref": "amri11/binary-classification-with-a-bank", "kernel_id": "88344014"}, {"ref": "younusmohamed/66-01-eda-is-all-you-need", "kernel_id": "88677985"}, {"ref": "younusmohamed/66-02-full-benchmark-274-models-run", "kernel_id": "88806745"}, {"ref": "introverstein/s5e8-eda-to-get-started", "kernel_id": "88351944"}, {"ref": "prashantsharma3006/bank-prediction", "kernel_id": "88500897"}, {"ref": "rashimishra19/binary-classification-with-a-bank-dataset", "kernel_id": "88886904"}, {"ref": "denvermagtibay/oversampled-xgboost-bank-deposit-subscription", "kernel_id": "88859405"}, {"ref": "sdeogade/bank-classification", "kernel_id": "88774251"}, {"ref": "mikhailnaumov/no-blending-bank-classification-xgb-lgbm-cat-ydf", "kernel_id": "88339491"}, {"ref": "mrsimple07/lgb-approach", "kernel_id": "88819418"}, {"ref": "sudhanshu3112/bank-eda-feature-insights-xgboost", "kernel_id": "88357078"}, {"ref": "amankroot/banking-binary-classification", "kernel_id": "88400141"}, {"ref": "haohuanchen/ps-s5e8-lightgb-model-add-original-dataset", "kernel_id": "88651497"}, {"ref": "haohuanchen/ps-s5e8-lightgb-model-a-simple-starter", "kernel_id": "88361234"}, {"ref": "rkmaurya93/bank-dataset-binary-calssification", "kernel_id": "88508555"}, {"ref": "zequanbear/bank-dataset-eda-xgb", "kernel_id": "88772298"}, {"ref": "rajdipakjarad/binary-classification-with-a-bank-dataset", "kernel_id": "88670793"}, {"ref": "anthonytherrien/ps-s5e8-single-histgradientboostingclassifier", "kernel_id": "88594858"}, {"ref": "anthonytherrien/ps-s5e8-single-randomforest", "kernel_id": "88466947"}, {"ref": "anthonytherrien/ps-s5e8-lightgbm", "kernel_id": "88420924"}, {"ref": "anthonytherrien/bank-term-single-xgboost", "kernel_id": "88392173"}, {"ref": "himabindumarpini/stack-model-xgboost-and-catboost", "kernel_id": "88450521"}, {"ref": "botaylaamin/binary-classification", "kernel_id": "88447904"}, {"ref": "abdmental01/bank-problem-lightgbm", "kernel_id": "88344020"}, {"ref": "abdmental01/binary-bank-problem-single-xgb", "kernel_id": "88339342"}, {"ref": "rahulfikri/catboost-classifier-for-bank-dataset", "kernel_id": "88946388"}, {"ref": "simonmellergaard/bank-dataset-analysis", "kernel_id": "88897855"}, {"ref": "muhumuzadeusai/bank-deposit-initial-eda", "kernel_id": "88493030"}, {"ref": "yteshima/ps5s8-eda-and-xgboost-et-al", "kernel_id": "88484667"}, {"ref": "antonoof/top1-automl-dls-mipt", "kernel_id": "88521551"}, {"ref": "umerellous/bank-term-deposit", "kernel_id": "88521347"}, {"ref": "mastershomya/playground-s5e8-nn-lgbm-weighted-avg", "kernel_id": "88444446"}, {"ref": "andreasbis/ps-s5e8-eda-gbdt-ensemble", "kernel_id": "88362093"}, {"ref": "andrewbnord/binary-classification-with-a-bank-dataset", "kernel_id": "88644874"}, {"ref": "shubhamveer/does-feature-engg-helps-lightgbm-tress-cv", "kernel_id": "88982645"}, {"ref": "shubhamveer/only-with-logistic-regression-my-approach", "kernel_id": "88874705"}, {"ref": "shubhamveer/detailed-eda-stacked-ensemble", "kernel_id": "88341551"}, {"ref": "shubhamveer/why-nn-detailed-eda-for-feature-understanding", "kernel_id": "88345662"}, {"ref": "iamnotindangerskyler/pgs5e8-eda-shap-xgb-binary-classification", "kernel_id": "88351088"}, {"ref": "harshgupta4444/bank-marketing-campaign-xgboost", "kernel_id": "88356035"}, {"ref": "harshgupta4444/bank-marketing-eda", "kernel_id": "88354505"}, {"ref": "arnavsuiiiiiiiiiiii/best-banker-autogluon-lb-0-97098", "kernel_id": "88347079"}, {"ref": "sumanbera19/binary-classification-with-lgbm", "kernel_id": "88350000"}, {"ref": "sumanbera19/decode-the-eda-on-bank-dataset", "kernel_id": "88638059"}, {"ref": "sumanbera19/let-s-decode-the-bank-algorithm-with-lgb", "kernel_id": "88431324"}, {"ref": "thufailahamedvj/bank-term-deposit-boost-5-fold-catboost-pipeline", "kernel_id": "88912116"}, {"ref": "samarpanrai/predicting-clients-behaviour-catboost", "kernel_id": "88363314"}, {"ref": "qifeihhh666/s5e8-cv-xgboost-lightgbm", "kernel_id": "88341150"}, {"ref": "mayuringle8890/end-to-end-lightgbm-classification-pipeline", "kernel_id": "88483356"}, {"ref": "tamareltech/ps-s5e7-binary-classification-lb-tuning-2-0", "kernel_id": "88574856"}, {"ref": "tamareltech/blend-tuning-binary-classification", "kernel_id": "88475603"}, {"ref": "verifyitisyou/97716-tuning-attempt-champion-style-remix", "kernel_id": "88738209"}, {"ref": "vedant0718/only-categorical-features-catboost-auc-0-9739", "kernel_id": "88357003"}, {"ref": "ayushidixitt/binary-classification-with-bank-dataset", "kernel_id": "88811945"}, {"ref": "rishgeeky/kaggle-comp-binary-class-on-bank-dataset", "kernel_id": "88392238"}, {"ref": "here78682/s5e8-classification-with-bank-dataset-overview", "kernel_id": "88464482"}, {"ref": "hamchicchi/bank-marketing-lgbm-polars", "kernel_id": "88448331"}, {"ref": "bhaskarmishra44796/s5e8-lgbm-xgb-weighted-avg", "kernel_id": "88504190"}, {"ref": "garvitdhanwaria/bankterm-pred", "kernel_id": "88439053"}, {"ref": "yug201/bank-marketing-campaign-eda-preprocessing", "kernel_id": "88402242"}, {"ref": "waqi786/binary-classification-with-a-bank", "kernel_id": "88377125"}, {"ref": "hamidrana/bank-binary-classification", "kernel_id": "88980051"}, {"ref": "yashsahu02/binary-classification-with-a-bank-dataset-s5e8", "kernel_id": "88367978"}, {"ref": "xinyang11010709/deep-learning-via-keras-and-tensorflow", "kernel_id": "88470576"}, {"ref": "dureyashfeen/playground-s5-e8", "kernel_id": "88352685"}, {"ref": "abhisheksinha01111/anybody-want-a-mountain-of-debt", "kernel_id": "88899618"}, {"ref": "adilshamim8/bank-term-deposit-prediction", "kernel_id": "88454008"}, {"ref": "bandito20/lightgbm", "kernel_id": "88822000"}, {"ref": "vaibhavbarala26/lightgbm-bank-prediction-score-0-97297", "kernel_id": "88403091"}, {"ref": "vaibhavbarala26/xgboost-based-approach-for-customer-response-preds", "kernel_id": "88400098"}, {"ref": "eduardarzumanyan/binary-classification-with-a-bank-dataset-lgbm", "kernel_id": "88667003"}, {"ref": "muqingyu666/0-967-catboost-baseline", "kernel_id": "88343577"}, {"ref": "muqingyu666/bank-marketing-detailed-analytics", "kernel_id": "88342426"}, {"ref": "moridata/update-lightgbm-full-eda-score-0-97437", "kernel_id": "88456713"}, {"ref": "marlen01/0-9684-lightgbm-catboost-xgboost", "kernel_id": "88785630"}, {"ref": "hns2611/banking-predictions-with-neural-networks", "kernel_id": "88730059"}, {"ref": "hns2611/banking-predictions-using-r", "kernel_id": "88458764"}, {"ref": "komingz/eda-for-binary-classification-with-a-bank-dataset", "kernel_id": "88934347"}, {"ref": "datayier/lightgbm-with-bayesian-optimizatian-gp", "kernel_id": "88674968"}, {"ref": "harshalpatil3558/binary-classification-using-multi-models-roc-auc", "kernel_id": "88609756"}, {"ref": "elihaciyev/simple-xgboost-ensemble", "kernel_id": "88349331"}, {"ref": "hivin1/binary-classification", "kernel_id": "88893014"}, {"ref": "ghost5612/binary-classification-with-a-bank-dataset", "kernel_id": "88812635"}, {"ref": "yashdev01/binary-classification-with-a-bank-dataset-v2", "kernel_id": "88786969"}, {"ref": "manasi197/binay-classification-bank-data", "kernel_id": "88521056"}, {"ref": "i0nlyaziz/binary-classification-with-a-bank-dataset", "kernel_id": "88500396"}, {"ref": "jakexshi/gbm-baseline-0-96601", "kernel_id": "88929304"}, {"ref": "mirazul687/s5e8-baseline-rfclassifier", "kernel_id": "88472234"}, {"ref": "mirazul687/bank-term-deposit-catboost", "kernel_id": "88471711"}, {"ref": "mirazul687/ps-s5e7-stacking", "kernel_id": "88490710"}, {"ref": "mirazul687/ensemble-s5e8", "kernel_id": "88733365"}, {"ref": "sparshjoshiiit/notebook15d3893d54", "kernel_id": "88466906"}, {"ref": "mahoganybuttstrings/pg-s5e8-single-xgb-cv-0-975782-lb-0-97681", "kernel_id": "88643378"}, {"ref": "vedanshtyagi2451/bankprediction-using-original-dataset", "kernel_id": "88940212"}, {"ref": "gauripatil2299/playground-series-season-5-episode-8", "kernel_id": "88364455"}, {"ref": "rstev0/ps-s5e8-lightgbm-shap", "kernel_id": "88487438"}, {"ref": "abdurrahmanucak/binary-classificition-with-bank-dataset", "kernel_id": "88444836"}, {"ref": "christiangale/classification-with-a-bank-dataset-xgboost", "kernel_id": "88952281"}, {"ref": "japerboy/i-didn-t-just-fit-the-lightgbm-model-i-cooked-it", "kernel_id": "88494765"}, {"ref": "singha07/binary-classification-with-a-bank-datase", "kernel_id": "88723952"}, {"ref": "vinit08/bank-term-deposit-xgboost", "kernel_id": "88369390"}, {"ref": "vlaveris/binary-classification-bank-dataset-rf-xgb-lg", "kernel_id": "88730676"}, {"ref": "malek1t/deep-eda-blending-catboost-lgbm-xgboost", "kernel_id": "88469621"}, {"ref": "arjund29/simple-lgbm-with-roc-auc-96861", "kernel_id": "88966970"}, {"ref": "maityritwik/binary-bank-problem-9669-eda-catboost", "kernel_id": "88371300"}, {"ref": "quezaltendes/s5e8-eda-lightgbm-binary-classific-bank-dataset", "kernel_id": "88781790"}, {"ref": "piotrpi/01-bank-dataset-binary-class", "kernel_id": "88359691"}, {"ref": "marii8st/bank-predict-xgb-lgbm-catb", "kernel_id": "88652866"}, {"ref": "menhari/winner", "kernel_id": "88514276"}, {"ref": "aryanshah26/bank-binary", "kernel_id": "88505052"}, {"ref": "lele25811/s05-e08-binary-classification-with-bank-dataset", "kernel_id": "88441175"}, {"ref": "olaflundstrom/predicting-bank-customer-subscriptions-v1-0", "kernel_id": "88429855"}, {"ref": "harshsharma2704/binary-classification", "kernel_id": "88359121"}, {"ref": "chiragsharma1201/bank-classification", "kernel_id": "88491083"}, {"ref": "canozensoy/ps-s5e8-optuna-tuned-lightgbm-with-shap", "kernel_id": "88788311"}, {"ref": "shivams811/lightgbm-on-bank-data-ps5e8-0-96780", "kernel_id": "88429220"}, {"ref": "devanshshukla123/neural-network-for-classification", "kernel_id": "88428797"}, {"ref": "robschieber/s05e8-eda-xgb", "kernel_id": "88477326"}, {"ref": "anjalibagri/bank-customer-churn-prediction-beginner-friendly", "kernel_id": "88491908"}, {"ref": "ronak2005/bank-term-deposit", "kernel_id": "88390011"}, {"ref": "hkgilee/binary-classification-with-a-bank-dataset", "kernel_id": "88419249"}, {"ref": "gauravparkhedkar/bankbinary", "kernel_id": "88656486"}, {"ref": "khai42/lgb-simple-model-score-0-96938", "kernel_id": "88559758"}, {"ref": "khai42/eda-of-bank-data", "kernel_id": "88389331"}, {"ref": "khai42/lgb-score-0-97490", "kernel_id": "88779885"}, {"ref": "laibarazzaq10/binary-classification-with-a-bank-dataset", "kernel_id": "88365839"}, {"ref": "laibarazzaq10/binary-classification", "kernel_id": "88455006"}, {"ref": "ganeshataqwa/0-96-classifying-bank-customers-let-s-do-it", "kernel_id": "88483899"}, {"ref": "ianteigen/bank-marketing-classification-full-eda", "kernel_id": "88549853"}, {"ref": "aymankhan555/who-rules-the-bank-cat-vs-xg-vs-light", "kernel_id": "88656072"}, {"ref": "aymankhan555/bank-classification-using-simple-lgbm-optuna", "kernel_id": "88975246"}, {"ref": "justushelo/ensemble-modeling-bank-market-data", "kernel_id": "88783438"}, {"ref": "ahmetemirakdogan/s5e8-baseline-xgboost-stratified-cv", "kernel_id": "88356314"}, {"ref": "ahmetemirakdogan/s5e8-baseline-lightgbm-stratified-cv", "kernel_id": "88387982"}, {"ref": "analyticaobscura/playground-s5e8-bank-marketing-eda-stacking", "kernel_id": "88381830"}, {"ref": "marpinipavansrikar/ps-s5e8-xgboost-lightbgm-catboost-optuna-tuning", "kernel_id": "88397186"}, {"ref": "marpinipavansrikar/ps-s5e8-xgboost-lightbgm-catboost-optunatuning-1", "kernel_id": "88592576"}, {"ref": "emircansoftware/xgboost-eda-stratifiedkfold", "kernel_id": "88357271"}, {"ref": "lainnovic/tuned-lgb-xgb-auc-0-969", "kernel_id": "88366227"}, {"ref": "lainnovic/lightbgm-xgboost-tuned-public-lb-auc-0-96", "kernel_id": "88350807"}, {"ref": "lainnovic/single-lgb-feature-engineering-auc-0-974", "kernel_id": "88975868"}, {"ref": "lainnovic/cat-xgb-lgb-sklearnpipeline-ridge-edit-improve", "kernel_id": "88890360"}, {"ref": "princevegeta515/lgbm-blending-peak-model-performance-auc-0-97771", "kernel_id": "88570003"}, {"ref": "bijaybeezoe/binary-classification-with-bank-dataset", "kernel_id": "88879139"}, {"ref": "mariak01/bank-term-deposit-xgboost-lightgbm", "kernel_id": "88350692"}, {"ref": "nina2025/ps-s5e8-v-blend", "kernel_id": "88785873"}, {"ref": "nina2025/ps-s5e8-h-blend-bokeh-only-public-ml-solutions", "kernel_id": "88346051"}, {"ref": "nina2025/ps-s5e8-quick-start", "kernel_id": "88340156"}, {"ref": "nina2025/ps-s5e8-single-xgb-cv-0-975758", "kernel_id": "88648808"}, {"ref": "nina2025/ps-s5e8-no-or-unknown-are-also-feats", "kernel_id": "88547803"}, {"ref": "pranitgore/bank-market-prediction", "kernel_id": "88887079"}, {"ref": "maita27/binary-classification-with-a-bank-dataset", "kernel_id": "88522823"}, {"ref": "abdulrahmanqaten/play-s5-e8-7th-solve-cb-xgb", "kernel_id": "88430949"}, {"ref": "abdulrahmanqaten/play-s5-e8-6th-solve-gbm-xgb", "kernel_id": "88430678"}, {"ref": "abdulrahmanqaten/play-s5-e8-second-solve-gbm", "kernel_id": "88364988"}, {"ref": "abdulrahmanqaten/play-s5-e8-third-solve-xgb", "kernel_id": "88365343"}, {"ref": "abdulrahmanqaten/play-s5-e8-4th-solve-rf", "kernel_id": "88365499"}, {"ref": "abdulrahmanqaten/play-s5-e8-5th-solve-cb", "kernel_id": "88365768"}, {"ref": "abdulrahmanqaten/play-s5-e8-first-solve-lr", "kernel_id": "88363760"}, {"ref": "farukece/encoding-test", "kernel_id": "88743744"}, {"ref": "farukece/data-exploration-correlation", "kernel_id": "88633295"}, {"ref": "riddhimaiti/binary-classification-on-bank-dataset", "kernel_id": "88590300"}, {"ref": "zorornoa/bankclassification", "kernel_id": "88439263"}, {"ref": "buvikakareke/binary-classification-of-bank-data-xgbclassifier", "kernel_id": "88420587"}, {"ref": "cengizgurel/s05e08-stratified-cv-lightgbm", "kernel_id": "88738155"}, {"ref": "tayloriyamoon/tuning-attempt-champion-style", "kernel_id": "88679276"}, {"ref": "joeprob/learn-with-me-simple-sequential-neural-network", "kernel_id": "88573742"}, {"ref": "shrutichangan/eda-for-bank-dataset-beginner-friendly", "kernel_id": "88980240"}, {"ref": "hzning/original-book-0-9640-bank-marketing-gbm-start", "kernel_id": "88651992"}, {"ref": "hzning/feature-engineering-lightgbm", "kernel_id": "88971356"}, {"ref": "hzning/bank-marketing-eda-catboost", "kernel_id": "88890446"}, {"ref": "lytvyiv1/single-lgbm-with-feature-engineering", "kernel_id": "88821992"}, {"ref": "xueyieveryday/give-me-some-advice", "kernel_id": "88780585"}, {"ref": "jasperduan111/bankpredictionwithxgboost", "kernel_id": "88788215"}, {"ref": "jasperduan111/logistic-regression-for-bank-classification", "kernel_id": "88909539"}, {"ref": "prashanthsword/bankclassification", "kernel_id": "88687284"}, {"ref": "baskarkumarlaligonda/binary-classification-with-a-bank", "kernel_id": "88680049"}, {"ref": "sreenidhic/bank-churn-predictor", "kernel_id": "88730498"}, {"ref": "molozhenko/playground-s5e8-advanced-xgboost", "kernel_id": "89256626"}, {"ref": "lgregory/ps-s5e8-ensemble-of-submissions", "kernel_id": "89401808"}, {"ref": "lgregory/bank-dataset-next", "kernel_id": "89404173"}, {"ref": "onodera/6-4x-faster-with-gpu-just-a-few-lines-of-code", "kernel_id": "89267419"}, {"ref": "tilii7/an-easy-way-to-get-0-97820-on-public-lb", "kernel_id": "89378799"}, {"ref": "tilii7/new-features-genetic-programming", "kernel_id": "89976583"}, {"ref": "cv13j0/deposit-or-not-powered-by-xgboost", "kernel_id": "89623483"}, {"ref": "abisheksrivastav/binary-classification-with-a-bank-dataset2", "kernel_id": "89423322"}, {"ref": "stevenrferrer/ps5e8-tree-based-methods-with-bank-data", "kernel_id": "89031806"}, {"ref": "krivenkozz/0-971-cyclical-feature-engineering", "kernel_id": "89531328"}, {"ref": "krivenkozz/0-966-forward-feature-selection", "kernel_id": "89377865"}, {"ref": "krivenkozz/0-964-target-encoding-uni-grams-bi-grams", "kernel_id": "89194604"}, {"ref": "ryzhokhina/bankdataset-bp-baseline", "kernel_id": "89014849"}, {"ref": "cdeotte/xgboost-using-original-data-cv-0-976", "kernel_id": "89930342"}, {"ref": "obiaf88/baselinemodel-logisticregression", "kernel_id": "89238508"}, {"ref": "mamkwebu/bank-binary-datat", "kernel_id": "89407806"}, {"ref": "saiful873/is-duration-feature-causing-data-leakage", "kernel_id": "89675996"}, {"ref": "stpeteishii/ps-s5e8-stratified-xgboost-with-optuna", "kernel_id": "89441839"}, {"ref": "yutodennou/basic-way-of-the-best-model-searching", "kernel_id": "89394339"}, {"ref": "yutodennou/optimize-and-model-comparison", "kernel_id": "89668740"}, {"ref": "jcl1992/bank-classification-jcl", "kernel_id": "89139890"}, {"ref": "michal96/binary-classification-with-a-bank-datase", "kernel_id": "89241171"}, {"ref": "kkhandekar/vote-for-boosters", "kernel_id": "89152808"}, {"ref": "rafaelbandoni/lgbm-optuna-for-classification", "kernel_id": "89420445"}, {"ref": "yeonseokcho/fork-of-classification-with-bank-data-automl", "kernel_id": "89584044"}, {"ref": "jeanpooljinezsorroza/part-4-a-new-aproach-bin-class-bankdataset", "kernel_id": "89030363"}, {"ref": "jeanpooljinezsorroza/randomizedsearccv-bankdataset", "kernel_id": "89204215"}, {"ref": "swas06/banksubscription-ensemblemodelhyperparametrtuning", "kernel_id": "89666501"}, {"ref": "ashking07/fork-of-ps5-e8-xgb", "kernel_id": "89446749"}, {"ref": "samyakb/attempting-gemma-big-mistake", "kernel_id": "89764414"}, {"ref": "josephnehrenz/0-972-xgb-s5e8-optimal-binary-classification-r", "kernel_id": "89870150"}, {"ref": "thomasmeiner/ps5e8-bluecast-3-0-nightly", "kernel_id": "89687066"}, {"ref": "mrsandeshakre/notebook93458a8122", "kernel_id": "89220862"}, {"ref": "santosh1974/adv-model-lightgbm-catboost-rf-ensemble", "kernel_id": "89470310"}, {"ref": "santosh1974/beginner-s-guide-eda-simple-logistic-regression", "kernel_id": "89469842"}, {"ref": "prathikshae/classification", "kernel_id": "89668715"}, {"ref": "fayyadsalahat/bank-classifications", "kernel_id": "89399339"}, {"ref": "jocelyndumlao/bank-classification-lightgbm-catboost", "kernel_id": "89160368"}, {"ref": "jocelyndumlao/bank-classification-xgboost-model-and-smote", "kernel_id": "89582910"}, {"ref": "asadalikhan92/notebooksubgit", "kernel_id": "89143330"}, {"ref": "beytullahyayla/extensive-eda-on-subscription-classification", "kernel_id": "89056092"}, {"ref": "kwakubonsuwiredu/bank-prediction-neural-network", "kernel_id": "89729099"}, {"ref": "kayaba/linearsvc", "kernel_id": "89299589"}, {"ref": "rohansardar/binary-classification-with-neural-networks", "kernel_id": "89027905"}, {"ref": "rohansardar/s5e8-full-pipeline-implementation-xgboost", "kernel_id": "89397303"}, {"ref": "rohansardar/lightgbm-classification-with-stratkfold-fe", "kernel_id": "89871940"}, {"ref": "pohungliu/eda-data-pipeline-ensemble", "kernel_id": "89095067"}, {"ref": "adityathakre123/conversational-ml-reaching-0-9697-with-gemini", "kernel_id": "89399112"}, {"ref": "santyagoamaya/bank-binary-prediction", "kernel_id": "89495053"}, {"ref": "krepkiioreshek/automl-playground-series-season-5-episode-8", "kernel_id": "89222891"}, {"ref": "masayakawamata/s5e8-diverse-lgbm", "kernel_id": "89140737"}, {"ref": "merhiro/summary-and-progress", "kernel_id": "89363170"}, {"ref": "sharmajicoder/in-depth-data-analysis-bank-dataset", "kernel_id": "89233783"}, {"ref": "vh10935cse20/bank-prediction-catboost", "kernel_id": "89182060"}, {"ref": "vh10935cse20/bank-prediction-catboost-2", "kernel_id": "89315578"}, {"ref": "vh10935cse20/bank-prediction-lgbm", "kernel_id": "89764401"}, {"ref": "utkarshgaikwad1994/bank-churn-data", "kernel_id": "89555443"}, {"ref": "utkarshgaikwad1994/bank-classification-neural-networks", "kernel_id": "89885487"}, {"ref": "pranjali1121/bank-dataset", "kernel_id": "89255789"}, {"ref": "raghvindyadav/binary-classification-for-subscribe-term-deposit", "kernel_id": "89169643"}, {"ref": "raghvindyadav/fork-of-bank-modal", "kernel_id": "89233915"}, {"ref": "bestwater/v10-of-pg-s5e8-single-xgb", "kernel_id": "89051688"}, {"ref": "namrodrguez/simple-xgboost-pipeline-gpu-ps-s5e8", "kernel_id": "89320552"}, {"ref": "harmesh095/binary-classification-with-a-bank-dataset", "kernel_id": "89132854"}, {"ref": "amarullohmkhoeri/binary-classification-with-kan", "kernel_id": "89237626"}, {"ref": "yunsuxiaozi/pss5e8-tabm-baselinecv-0-9738", "kernel_id": "89315465"}, {"ref": "ahmetyasin1/binary-classification-with-lightgbm-in-r", "kernel_id": "89133237"}, {"ref": "harshaja2910/lgbm-xgb-stacking", "kernel_id": "89917974"}, {"ref": "vladimirmataev/s5e8-xgboost", "kernel_id": "89499417"}, {"ref": "baredin/logistic-regression", "kernel_id": "89381044"}, {"ref": "enriquecompanioni/two-xgboost-learned-weights-lb-0-976", "kernel_id": "89150729"}, {"ref": "alkidiarete/bank-classification-d-matrix", "kernel_id": "89506505"}, {"ref": "alkidiarete/meta-binary-classification", "kernel_id": "89149212"}, {"ref": "alkidiarete/pos-weight-binary-classification", "kernel_id": "89085001"}, {"ref": "matejkamenicky/bank-dataset-classification-lightgbm", "kernel_id": "89757434"}, {"ref": "nestea08/binary-bank-prediction-with-randomforest", "kernel_id": "89752886"}, {"ref": "robertpatchin/s5e8-auc-bankmarketing", "kernel_id": "89354521"}, {"ref": "robertpatchin/s5e8-auc-feature-engineering", "kernel_id": "89434998"}, {"ref": "leeladhardewangan/binary-classification", "kernel_id": "89173630"}, {"ref": "younusmohamed/66-03-feature-engineering-293-models-run", "kernel_id": "89918389"}, {"ref": "wassimtahir/eda-complet-bank-marketing", "kernel_id": "89621582"}, {"ref": "danuherath/bank-customer-churn-prediction", "kernel_id": "89894848"}, {"ref": "shivamgravity/eda01", "kernel_id": "89267609"}, {"ref": "shivamgravity/data-preprocessing-combine-day-and-month", "kernel_id": "89662041"}, {"ref": "abdullahasiff/binary-classification-of-bank", "kernel_id": "89742182"}, {"ref": "pez2120/notebook1030bdcc60", "kernel_id": "89707663"}, {"ref": "amankroot/xgboost-bank-binary-classification", "kernel_id": "89121908"}, {"ref": "haohuanchen/ps-s5e8-blend-xgb-lgb", "kernel_id": "89650062"}, {"ref": "haohuanchen/ps-s5e8-xgboost-fe", "kernel_id": "89590170"}, {"ref": "haohuanchen/ps-s5e8-lightgb-model-optuna", "kernel_id": "89448193"}, {"ref": "machanif/predicting-bank-deposit-subscription", "kernel_id": "89455737"}, {"ref": "anthonytherrien/prodigy-optimizer-pytorch", "kernel_id": "89553150"}, {"ref": "adeylol/customer-bank-deposit-prediction-using-ann", "kernel_id": "89754055"}, {"ref": "adeylol/customer-bank-deposit-prediction-using-lgbm-only", "kernel_id": "89899747"}, {"ref": "adeylol/customer-bank-deposit-prediction-lgbm-v2", "kernel_id": "89906069"}, {"ref": "abdmental01/binary-bank-problem-ensemble-models", "kernel_id": "89002433"}, {"ref": "khangtran94vn/interesting-insight-bank", "kernel_id": "89712040"}, {"ref": "xinowo/bank-term-deposit-subscription-prediction", "kernel_id": "89960871"}, {"ref": "shubhanggautam/logistic-regression-with-label-encoder", "kernel_id": "89226904"}, {"ref": "aryan3011/classification-problem", "kernel_id": "89308509"}, {"ref": "shubhamveer/new-approach-nn-attention-cv-nn-baseline", "kernel_id": "89609358"}, {"ref": "syedrafathalim/iterative-xgboost-training-with-cross-validation", "kernel_id": "89056025"}, {"ref": "harshahalpara/let-dl-do-the-work", "kernel_id": "89589123"}, {"ref": "cartoonistbeard/ps5e8-eda-ensemble-lb-0-97725", "kernel_id": "89123873"}, {"ref": "zafarali27/ps-s5e8-update-catboost-full-eda", "kernel_id": "89584775"}, {"ref": "quiirkycodes/notebook37174385e7", "kernel_id": "89129489"}, {"ref": "moustafamohamed01/classification-with-bank-dataset", "kernel_id": "89621379"}, {"ref": "shriyanshforwork/binary-classification-with-bank-dataset", "kernel_id": "89514606"}, {"ref": "muhammaddanyalmalik/high-score-rank-ever", "kernel_id": "89107630"}, {"ref": "harrykesh/s05-ep08-lb-auc-96-9695-i-m-out", "kernel_id": "89116121"}, {"ref": "vedikagupta0/bank-prediction-xgb", "kernel_id": "89298478"}, {"ref": "surajthakur21/bank-dataset-data-visuals-part-1", "kernel_id": "89608964"}, {"ref": "yashfeenzaidi/intuition-driven-eda-random-forest-score-0-959", "kernel_id": "89204940"}, {"ref": "llkh0a/ensemble", "kernel_id": "89382696"}, {"ref": "ritesh1831/notebook2", "kernel_id": "89602543"}, {"ref": "ayahdawoud/xgbclassiffier-data", "kernel_id": "89061691"}, {"ref": "ahmedgamalalisherif/bank-xgboost-roc-auc-96", "kernel_id": "89769020"}, {"ref": "amanmanit/notebookfa80c0f64a", "kernel_id": "89756713"}, {"ref": "hemakandivan/bank-classification-binary", "kernel_id": "89246300"}, {"ref": "lun4r420/bank-dataset-model-77", "kernel_id": "89671778"}, {"ref": "achazngwouanzi/binaryclassification", "kernel_id": "89111601"}, {"ref": "yashdev01/binary-classification-with-a-bank-dataset-2", "kernel_id": "89172744"}, {"ref": "josheren/binary-classification", "kernel_id": "89061581"}, {"ref": "alexryosuke/catboost-beginner-playground-auc-0-9681", "kernel_id": "89681564"}, {"ref": "mehdiakoudadd/elite-starter-lgb-xgb-cat-ensemble-with-stacking", "kernel_id": "89284357"}, {"ref": "abbasi1214/binary-classification-with-bank-dataset", "kernel_id": "89991862"}, {"ref": "mayankdalal/competition", "kernel_id": "89401685"}, {"ref": "eldlabl0/lightgbm-catboost", "kernel_id": "89991671"}, {"ref": "savitasrivastava1402/binary-classification-with-a-bank-dataset", "kernel_id": "89591832"}, {"ref": "radha76/bank-binary-classification", "kernel_id": "89092207"}, {"ref": "santhoshperiasamy02/bank-dataset-for-deposit-prediction-binary-class", "kernel_id": "89605269"}, {"ref": "akiraxrd/xgboost-eda-playground-s5e8", "kernel_id": "89936883"}, {"ref": "karanbhatia01/binary-classification-with-eda-and-dlmodel", "kernel_id": "89377172"}, {"ref": "aneevinay/bank-term-deposit-prediction", "kernel_id": "89099560"}, {"ref": "rishtz/bank-dataset-using-classification-model", "kernel_id": "89264141"}, {"ref": "pankaj420coder/excalibur-notebook", "kernel_id": "89468316"}, {"ref": "trongkhang/binary-classification-with-a-bank-dataset", "kernel_id": "89354116"}, {"ref": "naveenreddy1724/binary-classification", "kernel_id": "89444551"}, {"ref": "aminahmadiii/prepration-data", "kernel_id": "89056337"}, {"ref": "allenmanoj17/bank-x-binaryclassification", "kernel_id": "89015334"}, {"ref": "ryqn00/binary-classification-with-a-bank-dataset", "kernel_id": "89768016"}, {"ref": "antonglushko1/notebook5bae6c8622", "kernel_id": "89777625"}, {"ref": "alihamzapeenek/binary-classification-with-a-bank-dataset-lightgbm", "kernel_id": "89909775"}, {"ref": "sumedhrmundewadi/bank-dataset0", "kernel_id": "89244057"}, {"ref": "ph0en1xx/ps-s5e8-eda-lightgbm-hypertuning", "kernel_id": "89796481"}, {"ref": "yogendrabs/binary-classification", "kernel_id": "89319792"}, {"ref": "shamimhasan8/binary-classification-with-a-bank-dataset", "kernel_id": "89443974"}, {"ref": "shamimhasan8/binary-classification-with-bank-dataset", "kernel_id": "89439577"}, {"ref": "shamimhasan8/binary-classification", "kernel_id": "89017713"}, {"ref": "bijaybeezoe/binary-classification-with-bank-dataset1", "kernel_id": "89261176"}, {"ref": "nina2025/ps-s5e8-h-blend-bokeh-show", "kernel_id": "89283739"}, {"ref": "nina2025/ps-s5e8-binary-classification-hv-blend-bokeh-copy", "kernel_id": "89622678"}, {"ref": "nina2025/ps-s5e8-blend-of-3x3-submissions-bokeh", "kernel_id": "89424660"}, {"ref": "nina2025/0-97694-single-xgb-combination-2", "kernel_id": "89535370"}, {"ref": "farukece/hyperparameter-tuning-0-97375", "kernel_id": "89072256"}, {"ref": "jubaamari/bank-classification-competition", "kernel_id": "89071361"}, {"ref": "harshme3hta/binary-classification-bank-notebook", "kernel_id": "89025273"}, {"ref": "gabrielcortinhas/binary-classification-with-pytorch", "kernel_id": "89056561"}, {"ref": "razanihababdellatif/will-they-say-yes-predicting-bank-term-deposit", "kernel_id": "89134779"}, {"ref": "qw77777/binary-classification-ensemble", "kernel_id": "89569123"}, {"ref": "mengaidev/lightgbm-bank-prediction-score-0-97297", "kernel_id": "89284361"}, {"ref": "m1rac0x/s5e8-my-first-feature-engineering-notebook", "kernel_id": "89316967"}, {"ref": "m1rac0x/s5e8-bank-term-deposit-subscription-xgboost", "kernel_id": "89078562"}, {"ref": "shivangkainth/ps-s5e8-bank-k-fold-oof-pred", "kernel_id": "89584868"}, {"ref": "zhangpinrui/xgboost", "kernel_id": "89595247"}, {"ref": "musk2025/notebook89aada4515", "kernel_id": "89258605"}, {"ref": "benjaminlundkvist/bank-prediction-with-lightautoml-and-lgb", "kernel_id": "89750590"}, {"ref": "benjaminlundkvist/bank-dataset-with-random-forest", "kernel_id": "89594316"}, {"ref": "benjaminlundkvist/bank-dataset-with-lightbgm-approach", "kernel_id": "89594326"}, {"ref": "himanshusinghaswal/binary-classification-with-a-bank-dataset", "kernel_id": "89173486"}, {"ref": "bukisalman/catboost-classifier-for-bank-dataset", "kernel_id": "89176862"}, {"ref": "lyf5201133/llm-is-worth-trying", "kernel_id": "89235020"}, {"ref": "mrratanbajaj/this-bank-dataset", "kernel_id": "89585982"}, {"ref": "idzydek/banking-xgbc", "kernel_id": "89528089"}, {"ref": "sachinkulkarni0/logisticregression", "kernel_id": "90915699"}, {"ref": "shrutisaxena/playground-s5e8-bank-marketing-eda", "kernel_id": "90439205"}, {"ref": "shriya9/notebook-eda-xgboost-to-deposit-or-not", "kernel_id": "90862596"}, {"ref": "craving1030/playground-binary-classfication", "kernel_id": "90292162"}, {"ref": "cdeotte/train-more-xgb-nn-lb-0-9774", "kernel_id": "90368771"}, {"ref": "cdeotte/nn-by-gpt5-cv-0-974-wow", "kernel_id": "90248885"}, {"ref": "obiaf88/stacking-of-classifiers", "kernel_id": "90449452"}, {"ref": "gargginni01/binary-class-for-bank-term-tiny-bert-transformer", "kernel_id": "90393165"}, {"ref": "alperr/binary-classification-withbankdataset", "kernel_id": "90585278"}, {"ref": "gvalentini/bank-classification-model-in-r", "kernel_id": "90225523"}, {"ref": "saiful873/catboost-features-selection", "kernel_id": "90404361"}, {"ref": "saiful873/catboost-imbalanced-binary-classification", "kernel_id": "90761902"}, {"ref": "kesavsivakumar/pg-series-oct-25-binary-classification", "kernel_id": "90707164"}, {"ref": "kumarkatariya/another-submission", "kernel_id": "90801806"}, {"ref": "tcspecialist/polynomial-features", "kernel_id": "90459125"}, {"ref": "wguesdon/ps5e8-tabml", "kernel_id": "90944865"}, {"ref": "mehrankazeminia/s5e8-bank-dataset-combine-features", "kernel_id": "90116275"}, {"ref": "sandhyaavasthi/binary-classification-lightgb-model-no-fe", "kernel_id": "90041765"}, {"ref": "kieranyogaraj/tps-s5e8", "kernel_id": "90928387"}, {"ref": "mohamedabder/2-modelisation-binary-classification-with-a-bank-n", "kernel_id": "90964365"}, {"ref": "mohamedabder/01-eda-binary-classification-with-a-bank", "kernel_id": "90410019"}, {"ref": "atogni85/feature-eng-and-tabnet-training", "kernel_id": "90203866"}, {"ref": "prachinikalje/baseline-lightgbm-0-9695", "kernel_id": "90153108"}, {"ref": "santosh1974/optimized-lgbm-catboost-xgb-xtratrees", "kernel_id": "90008163"}, {"ref": "prateekkiran/smart-bank-deposit-prediction-using-boosting", "kernel_id": "90874091"}, {"ref": "pankajguleria11/lgbm-xgb-deposit-forecast", "kernel_id": "90432376"}, {"ref": "saparbaikaznabekov/meta-model", "kernel_id": "90932520"}, {"ref": "anwarabualhussien/eda-with-ydata-profiling-catboost", "kernel_id": "90921016"}, {"ref": "omidbaghchehsaraei/pss5e8-convolutional-neural-network-cv-0-9703", "kernel_id": "90575920"}, {"ref": "omidbaghchehsaraei/pss5e8-tabr-cv-0-97314-lb-0-97544", "kernel_id": "90355503"}, {"ref": "babydriver1233/binary-classification-with-a-bank-dataset", "kernel_id": "90514754"}, {"ref": "bluchuay/s5e8-bagged-tf-catboost-lightgbm-stacking", "kernel_id": "90379073"}, {"ref": "EagleOnAI/s05-e08-bank-markting-lgbm", "kernel_id": "90959706"}, {"ref": "coderjay/bank-term-deposit-baseline-v1", "kernel_id": "90692459"}, {"ref": "trangha2710/logistic-regression-on-bank-dataset", "kernel_id": "90758705"}, {"ref": "adityathakre123/96-96994-accuracy-conversational-ml-xgb-lgbm", "kernel_id": "90526951"}, {"ref": "masayakawamata/s5e8-l2-pseudoknncolgrn", "kernel_id": "90846572"}, {"ref": "jaramireciro/train-pred-distribution-aligment-optuna-lgbm", "kernel_id": "90072529"}, {"ref": "divyamnayyar/score-0-97117-xgb-xgb-classifier-s5e8-easy", "kernel_id": "90504326"}, {"ref": "carloscll/ydata-baseline", "kernel_id": "90746709"}, {"ref": "bestwater/load-of-v86-of-autogluon-playground-s5e8", "kernel_id": "90741795"}, {"ref": "bestwater/bank-predict-xgb-lgbm-catb", "kernel_id": "90744228"}, {"ref": "bestwater/bank-classification-with-gpt-optimization", "kernel_id": "90744292"}, {"ref": "bestwater/load-of-v87-of-autogluon-playground-s5e8", "kernel_id": "90797417"}, {"ref": "bestwater/v103-of-autogluon-playground-s5e8", "kernel_id": "90815632"}, {"ref": "bestwater/load-of-v103-of-autogluon-playground-s5e8", "kernel_id": "90851079"}, {"ref": "bestwater/v109-of-autogluon-playground-s5e8", "kernel_id": "90904784"}, {"ref": "bestwater/load-of-v109-of-autogluon-playground-s5e8", "kernel_id": "90938182"}, {"ref": "fertmeneses/bcbd-data-exploration", "kernel_id": "90453093"}, {"ref": "khairulamirinaziz/binary-classification-with-bank-dataset", "kernel_id": "90587758"}, {"ref": "yogeshbawankar/bank-dataset-classification-s5e8", "kernel_id": "90564395"}, {"ref": "manvendrasaini/binary-classification", "kernel_id": "90961146"}, {"ref": "sebastianzabala/xgboost-playground-s5e8", "kernel_id": "90961613"}, {"ref": "dasdasdada/bank-term-deposit-prediction-eda-lgbm", "kernel_id": "90670926"}, {"ref": "dasdasdada/fast-lgbm-advanced-feature-engineering", "kernel_id": "90881121"}, {"ref": "daniyalatta/last-day-take-your-position-0-97772-last-chance", "kernel_id": "90947634"}, {"ref": "daniyalatta/fork-best-mini-notebook", "kernel_id": "90741420"}, {"ref": "daniyalatta/bank-dataset-imporvement-using-submission-file", "kernel_id": "90521472"}, {"ref": "daniyalatta/highest-public-score-code-right-now", "kernel_id": "90518700"}, {"ref": "daniyalatta/bank-term-deposit-subscription-prediction-dataset", "kernel_id": "90009388"}, {"ref": "daniyalatta/binary-classification-bank-dataset-xgboost-0-977", "kernel_id": "90029724"}, {"ref": "francescoalbanesephd/xai-s5e8-explainable-ai-xai-with-a-bank-dataset", "kernel_id": "90221901"}, {"ref": "chiranjeevimchiru/s5e8-logistic-regression-roc-curve-0-94", "kernel_id": "90867349"}, {"ref": "chiranjeevimchiru/s5e8-roc-curve-lr-0-94-lightgbm-0-97", "kernel_id": "90918104"}, {"ref": "ouzhanakr/ps-s5e8-xgboost", "kernel_id": "90299084"}, {"ref": "vivek7557/playground-series-s5e8", "kernel_id": "90476184"}, {"ref": "jliangwork/p5e8-make-data", "kernel_id": "90837430"}, {"ref": "jliangwork/p5e8-final-ensemble", "kernel_id": "90914252"}, {"ref": "ishmeetkaur214003/infinity-code", "kernel_id": "90942183"}, {"ref": "mohamedjesferalik/bank-marketing-voting-classifier-96-8", "kernel_id": "90390584"}, {"ref": "aayushiweb/binary-classification-with-a-bank-dataset", "kernel_id": "90085672"}, {"ref": "anshikakashyap12/ps5e8-bank-dataset-classification", "kernel_id": "90367554"}, {"ref": "engineerfrabbi/binary-classification-with-a-bank-dataset-v", "kernel_id": "90113134"}, {"ref": "hafizmuaz9595/binary-classification-with-bank-dataset", "kernel_id": "90190306"}, {"ref": "mahmoudmahmad/classification-random", "kernel_id": "90815207"}, {"ref": "danielgurwindas/binary-classification-using-bank-dataset", "kernel_id": "90998551"}, {"ref": "xnapkin/accelerating-knn-with-hnsw", "kernel_id": "90208285"}, {"ref": "sahilchukka19/binary-classification-bank-dataset", "kernel_id": "90429927"}, {"ref": "haohuanchen/ps-s5e8-blend-xgb-lgb-more", "kernel_id": "90564388"}, {"ref": "kingkcabir/bank-playground-0-charts", "kernel_id": "90937530"}, {"ref": "atrbyg24/binary-classification-bank-dataset", "kernel_id": "90596948"}, {"ref": "anthonytherrien/ps-s5e8-blend-clean-fork", "kernel_id": "90740638"}, {"ref": "adeylol/deposit-prediction-lgbm-ann-ensemble", "kernel_id": "90022041"}, {"ref": "madisrinija/binary-classification", "kernel_id": "90505070"}, {"ref": "deepakraj00/xgbclassifier-with-optuna-finetuning-0-96903", "kernel_id": "90550707"}, {"ref": "veerabharathchandra/bank-classification-lightgbm-auc-0-97", "kernel_id": "90932168"}, {"ref": "bahridgr/playground-series-s5e8-bank-marketing", "kernel_id": "90694273"}, {"ref": "mayapatel4/bank-classification-with-gpt-optimization", "kernel_id": "90691753"}, {"ref": "realvisheshbhardawaj/ps-s5e8-final", "kernel_id": "90710602"}, {"ref": "elnazalikarami/binary-classification", "kernel_id": "90457888"}, {"ref": "elnazalikarami/binary-classification-bank-data", "kernel_id": "90458029"}, {"ref": "poojakuniyal/clientsubscriptionclassification", "kernel_id": "90485405"}, {"ref": "moustafamohamed01/classification-with-bank-dataset-2", "kernel_id": "90445493"}, {"ref": "udayprattap/kaggle-clf-bank", "kernel_id": "90072386"}, {"ref": "muhammaddanyalmalik/bank-ref", "kernel_id": "90529183"}, {"ref": "panagiotagrosdouli1/binary-classification-with-a-bank-dataset-31-08", "kernel_id": "90939048"}, {"ref": "farukal/predicting-customer-behavior", "kernel_id": "90691471"}, {"ref": "hariveeraprasad007/notebookff8ae0e3eb", "kernel_id": "90420388"}, {"ref": "killaaruu/binary-classification-contest-1", "kernel_id": "90411829"}, {"ref": "bilalshabbir1/binary-classification-with-a-bank-dataset", "kernel_id": "90862824"}, {"ref": "bilalshabbir1/bank-binary-classification-ep2", "kernel_id": "90947220"}, {"ref": "ritesh1831/catboost-lightgbm-h2o-gbm-logistic-reg", "kernel_id": "90827243"}, {"ref": "ritesh1831/h2o-gbm-optuna-2", "kernel_id": "90894998"}, {"ref": "ritesh1831/lightgbm-with-optuna-2", "kernel_id": "90889238"}, {"ref": "ritesh1831/comparing-catboost-lightgbm", "kernel_id": "90796480"}, {"ref": "sylvesterdalmeida/autogluon-easy-0-976xx", "kernel_id": "90116330"}, {"ref": "hemakandivan/lgbm-bank-classification-binary", "kernel_id": "90415274"}, {"ref": "anshumanshekhar1/binaryclassification-w-targetencoding-on-bankdata", "kernel_id": "90435777"}, {"ref": "ziyadalawami/bank-clf", "kernel_id": "90036878"}, {"ref": "bengj10/bank-binary-classification-with-voting-classifier", "kernel_id": "90852566"}, {"ref": "astik13aw/binary-classification-with-a-bank-dataset", "kernel_id": "90499180"}, {"ref": "nilanjansaha123/binary-classification-notebook", "kernel_id": "90214230"}, {"ref": "achazngwouanzi/binaryclassificationcompetition", "kernel_id": "90228593"}, {"ref": "mahmoudehab6677/bank-classification", "kernel_id": "90124978"}, {"ref": "omniamohamedghazy/project", "kernel_id": "90107458"}, {"ref": "nishitbhardrwaj/bank-term-deposit-lightgbm-cv-feature-engineeri", "kernel_id": "90514477"}, {"ref": "soupalghoshssmj/banks", "kernel_id": "90138036"}, {"ref": "indroniel/meta-learner-oof-easy-0-96769", "kernel_id": "90684491"}, {"ref": "cristianbarreira/data-analysis-approach-for-binary-predictions", "kernel_id": "90330086"}, {"ref": "rushildhingra25/binary-classification-of-bank-data", "kernel_id": "90177675"}, {"ref": "jessewaite/xgboost-10folds-2k-estimators-lr0-02", "kernel_id": "90749875"}, {"ref": "truthminer/ensembling-0-9754", "kernel_id": "90793338"}, {"ref": "pl1ght/catboost-fe", "kernel_id": "90934179"}, {"ref": "akiraxrd/xgboost-feature-engineering-k-fold-cv-0-975", "kernel_id": "90113885"}, {"ref": "vedikasd/binary-classification-with-a-bank-dataset-s5e8", "kernel_id": "90139526"}, {"ref": "andyhsu1997/playground-series-s5e8", "kernel_id": "90489942"}, {"ref": "koushikdasari1/binaryclassificationbankdata", "kernel_id": "90136740"}, {"ref": "abdullahzbayy/bank-dataset-catboost", "kernel_id": "90316572"}, {"ref": "elenkapetrova/bank-classification-v-1-0", "kernel_id": "90594761"}, {"ref": "dimassp1/bank-comp", "kernel_id": "90288443"}, {"ref": "ikbalstudent/deposit-prediction", "kernel_id": "90134594"}, {"ref": "umapravallika23/bank-subscription", "kernel_id": "90855664"}, {"ref": "haliburton/s5e8-binary-classification-lgbm", "kernel_id": "90277853"}, {"ref": "jinbaekl/xgboost-lightgbm-cv-ensemble-with-target-encoding", "kernel_id": "90547090"}, {"ref": "ankitghosal21/binary-classification-bank-dataset", "kernel_id": "90684580"}, {"ref": "luckypatidar11145/bank-dataset-classification", "kernel_id": "90334571"}, {"ref": "celinags/bankdata", "kernel_id": "90039874"}, {"ref": "tanmayistired/bannk-dataset-comp-notebook", "kernel_id": "90865021"}, {"ref": "rgunavathy/binary-classification-guna", "kernel_id": "90721214"}, {"ref": "mabubakarhere/rtc-binary", "kernel_id": "90104286"}, {"ref": "nina2025/ps-s5e8-deep-fission", "kernel_id": "90944903"}, {"ref": "nina2025/ps-s5e8-blend", "kernel_id": "90660245"}, {"ref": "nina2025/xgboost-using-original-data-cv-0-976-fe", "kernel_id": "90040084"}, {"ref": "avineshprabhakaran/binary-bank-competiton", "kernel_id": "90750027"}, {"ref": "zeynepezgiyakisan/bankmarketing-ensemble-classification", "kernel_id": "90881165"}, {"ref": "hermitsays/finpredict", "kernel_id": "90581485"}, {"ref": "stephentarter/bank-prediction-with-xgboost-s5e8", "kernel_id": "90822920"}, {"ref": "stephentarter/bank-marketing-xgboost-baseline-playground-s5e8", "kernel_id": "90725699"}, {"ref": "gabrielcortinhas/binary-classification-w-pytorch-xgboost-ensemble", "kernel_id": "90110097"}, {"ref": "hzning/quantile-norm-ensemble-recipe", "kernel_id": "90508546"}, {"ref": "sahilalam75/bank-dataset-classification", "kernel_id": "90068851"}, {"ref": "vemulapallisaiganesh/binary", "kernel_id": "90807539"}, {"ref": "tranchanhhy/kaggle-banking-safe-run-v4", "kernel_id": "90954797"}, {"ref": "akshatsharma2/auto-viml-bank-data-challenge-s5-e8", "kernel_id": "90878968"}, {"ref": "bekobeko145/binary-bank", "kernel_id": "90097915"}, {"ref": "nitin225/binary-classification-with-bank-dataset-f43b1c", "kernel_id": "90356729"}, {"ref": "nitin225/deposit-or-not-powered-by-xgboost", "kernel_id": "90389736"}, {"ref": "fahmaindrayana/bank-dataset-classification-s5e8", "kernel_id": "90926778"}, {"ref": "stpeteishii/bank-ensemble-h-blend", "kernel_id": "91260741"}, {"ref": "stpeteishii/bank-ensemble-v-blend", "kernel_id": "91308422"}, {"ref": "stpeteishii/ps-s5e8-xgboost-full-train-refit", "kernel_id": "91106019"}, {"ref": "stpeteishii/bank-data-autogluon", "kernel_id": "91470519"}, {"ref": "jeanpooljinezsorroza/binary-classification-bankdataset-final-version", "kernel_id": "91105372"}, {"ref": "suhailab/bc-with-a-bank-dataset", "kernel_id": "91557898"}, {"ref": "faizanhussain03/logistic-regression-with-threshold-value-of-0-08", "kernel_id": "91756902"}, {"ref": "faizanhussain03/xgboost-with-optuna-tuning", "kernel_id": "91243195"}, {"ref": "alanjo/bank-classification-model-in-r", "kernel_id": "91604087"}, {"ref": "vadsul/roc-auc-0-96683-catboost-features-s-vadim", "kernel_id": "91471455"}, {"ref": "vadsul/roc-auc-0-9624-randomforest-s-vadim", "kernel_id": "91465506"}, {"ref": "samaaturky/notebook4912303968", "kernel_id": "91326381"}, {"ref": "ishans24/binary-classification-xgboost-0-96897", "kernel_id": "91228369"}, {"ref": "maimohamedzaki/bankbinaryclassification", "kernel_id": "91321414"}, {"ref": "shahdhesham12/my-notebook", "kernel_id": "91321503"}, {"ref": "nourhossam22/notebook1821dd73dc", "kernel_id": "91321602"}, {"ref": "mahoganybuttstrings/pg-s5e8-tabm-cv-0-976810-pb-0-97750", "kernel_id": "91048227"}, {"ref": "youssefgomaa911/notebooke929bf8169", "kernel_id": "91321437"}, {"ref": "selvianasser/submission-xgb-rf", "kernel_id": "91504509"}, {"ref": "mah20050/my-project-r-13", "kernel_id": "91029118"}, {"ref": "hatemfeckry/notebook1d04fa78c7", "kernel_id": "91331701"}, {"ref": "tuesdaymatched/bank-classifier", "kernel_id": "91003554"}, {"ref": "poushal02/bank-dataset", "kernel_id": "91563174"}, {"ref": "yupengpei/notebook1", "kernel_id": "91483960"}, {"ref": "rodainafarag/notebookfe0ffc0db8", "kernel_id": "91430396"}, {"ref": "merayerzi/bank-dataset", "kernel_id": "91255333"}, {"ref": "vikassahani9793/binary-classification-with-a-bank-dataset", "kernel_id": "91184876"}, {"ref": "vikassahani9793/bank-marketing-classification-experimental", "kernel_id": "91195213"}, {"ref": "jrmyrouanet/playground-series-s5e8", "kernel_id": "91004901"}, {"ref": "esrazar/notebookb6cbab8eb4", "kernel_id": "91575859"}, {"ref": "abdelrhmandarwish/example", "kernel_id": "91323419"}, {"ref": "bassantmohamedreda/last-version", "kernel_id": "91321983"}, {"ref": "raneemkhaled300/notebook3fb2143dee", "kernel_id": "91547828"}, {"ref": "yassmingaber/notebooke9b193bb6e", "kernel_id": "91500779"}, {"ref": "amrahmed77/notebook6b507696e7", "kernel_id": "91334775"}, {"ref": "akshaypatil11/binary-classification-with-a-bank-dataset", "kernel_id": "92924296"}, {"ref": "stpeteishii/bank-binary-prediction-lightgbmxt-pipeline", "kernel_id": "92800946"}, {"ref": "gabrielmurilo/xgboost", "kernel_id": "92851369"}, {"ref": "salwamustafa/salwa-elrwad", "kernel_id": "92182492"}, {"ref": "pavelalimov/ml-course-task1-classification", "kernel_id": "92727333"}, {"ref": "salmashehawy/competition-notebook", "kernel_id": "92180080"}, {"ref": "abdalrhmanmahmoud/notebookef8ee74121", "kernel_id": "92575667"}, {"ref": "ammarashraf1/xgboost-bank-dataset", "kernel_id": "92187072"}, {"ref": "jacobgroll/binaryclassificationwbank", "kernel_id": "92851909"}, {"ref": "hassanmehmood413/lightgbm-0-97-full-guide", "kernel_id": "92210464"}, {"ref": "a7mdsl7/submission-rf", "kernel_id": "92175937"}, {"ref": "reemmohamedali/notebook4b1a726f57", "kernel_id": "92155182"}, {"ref": "steven556610/money-money-money", "kernel_id": "93098785"}, {"ref": "itsyoursumit/ps-s5e8-h-blend-bokeh-only-public-ml-solutions", "kernel_id": "93693436"}, {"ref": "ocwerfrancis/binary-classification-with-a-bank-dataset", "kernel_id": "93586163"}, {"ref": "mminbaol/binary-classification-bank-dataset", "kernel_id": "94581395"}, {"ref": "aryasatyagalen/votingclassifier-with-7-models", "kernel_id": "94238219"}, {"ref": "harshalpatil3558/bank-term-deposit-with-gradient-boosting", "kernel_id": "94775711"}, {"ref": "mdnaimislam165436/binary-classification-bank-dataset", "kernel_id": "94622172"}, {"ref": "samhitardy2801/binary-classification-with-a-bank-dataset-ml", "kernel_id": "94723505"}, {"ref": "srinathreddy2027/binary-classification", "kernel_id": "95058226"}, {"ref": "jesusrau2511/grupo-1-kluster-lovers", "kernel_id": "95202931"}, {"ref": "varunmittapalli/binary-classification-with-bank-datase", "kernel_id": "95024637"}, {"ref": "bishaladhikari07/bank-classification", "kernel_id": "95101543"}, {"ref": "lohithmorampudi/binary-classification-with-a-bank-dataset", "kernel_id": "95056110"}, {"ref": "osmansevili/binary-bank", "kernel_id": "96143867"}, {"ref": "gajulahemant/notebook1fb3a4ec1c", "kernel_id": "96684179"}, {"ref": "aski1140/compare-xgboost-catboost-other", "kernel_id": "97471635"}, {"ref": "sanketghadge1/binary-classification-with-a-bank-dataset-3", "kernel_id": "97406725"}, {"ref": "satyatejachukka/binary-classification-with-bank-dataset", "kernel_id": "97035695"}, {"ref": "jayasimhav/binary-classification-with-bank-dataset", "kernel_id": "98471798"}, {"ref": "gajulahemant/notebook1fb3a4ec1c9edbbb00b3", "kernel_id": "98813777"}, {"ref": "gajulahemant/notebook1fb3a4ec1cd4fe63b362", "kernel_id": "98814148"}, {"ref": "gajulahemant/notebook1fb3a4ec1cc80186bb5d", "kernel_id": "98814469"}, {"ref": "dolevevenhaim/classification-with-a-bank-dataset-svm-lightg", "kernel_id": "99475448"}, {"ref": "khajanakumar/bankcomptnbykk", "kernel_id": "99792328"}, {"ref": "dhruvkumar11/competiton", "kernel_id": "99974389"}, {"ref": "nakatadaisuke/bank-marketing-portfolio", "kernel_id": "99864470"}, {"ref": "harish00708/classification-bank", "kernel_id": "99416863"}, {"ref": "miadul/binary-classification-of-bank-customers", "kernel_id": "101959826"}, {"ref": "codehashira/bank-classification-prediction-playground", "kernel_id": "101358555"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "doganatmaca/binaryclassificationbank", "kernel_id": "102243062"}, {"ref": "gamzebabayigit/binarybank", "kernel_id": "103140288"}, {"ref": "eduardopane/binary-classification-with-a-bank-dataset", "kernel_id": "103678282"}, {"ref": "liutpjh/binary-classification-with-a-bank", "kernel_id": "103749766"}, {"ref": "ruichaoyi/binary-classification-on-bank-dataset", "kernel_id": "104610409"}, {"ref": "kumarshrid/bankpredictionforbegginers", "kernel_id": "104369332"}, {"ref": "marcosperezesteban/notebookd4b381ceeb", "kernel_id": "104772246"}, {"ref": "martinzikmund/deep-learning-bank-competition", "kernel_id": "106454680"}, {"ref": "tanakit2521/notebooke2990d1f7c", "kernel_id": "106316963"}, {"ref": "himanshushekhar05/bank-dataset-randomforest-score-0-94832", "kernel_id": "107544599"}, {"ref": "himanshushekhar05/bank-dataset-xgboost-best-score-0-95871", "kernel_id": "107769742"}, {"ref": "leyuzakoksoken/binary-classification-with-a-bank-dataset", "kernel_id": "108123218"}, {"ref": "habibaadle/notebook570fa7dd41", "kernel_id": "110113213"}, {"ref": "hanahmdd/depi-ml-pipeline", "kernel_id": "110115104"}, {"ref": "yarabedair/notebookd8e864211c", "kernel_id": "110115798"}, {"ref": "jagrutiyuvrajdhangar/binary-classification", "kernel_id": "111050031"}, {"ref": "jalesummak/binary-classification-with-a-bank", "kernel_id": "111657028"}, {"ref": "evgendvorkin/stack-xgb-lg-cb-privat-0-96924", "kernel_id": "114573308"}, {"ref": "omeraydin1/banka-classification", "kernel_id": "115264187"}, {"ref": "basaktamer/binary-classification-with-a-bank-dataset", "kernel_id": "119376995"}, {"ref": "agdataworks/beginner-s-guide-for-s5e8", "kernel_id": "122691870"}, {"ref": "asilburakcan/bank-term-deposit-prediction-classification", "kernel_id": "123173016"}, {"ref": "yomi0403/data-sience-groupwork", "kernel_id": "124887736"}, {"ref": "banana117117/notebook9ea15886aa", "kernel_id": "124886034"}, {"ref": "yomi0403/data-sience-groupwork-2", "kernel_id": "126560290"}, {"ref": "koukiooguchi/date-sience", "kernel_id": "126469145"}, {"ref": "yuitonishimoto/notebooka907b18b7a", "kernel_id": "127558137"}, {"ref": "banana117117/notebooka907b18b7a", "kernel_id": "128434553"}, {"ref": "zqx960151285/binary-classification-with-a-bank-dataset", "kernel_id": "129391908"}, {"ref": "jernimopaiva/binary-classification-of-bank-data", "kernel_id": "132051872"}]}
{"competition_id": "91720", "kernels": [{"ref": "antonoof/top35-26-38169", "kernel_id": "86483903"}, {"ref": "antonoof/top1-automl-dls-mipt", "kernel_id": "88521551"}, {"ref": "shrutisaxena/playground-s5e9-predicting-the-beats", "kernel_id": "90993423"}, {"ref": "saiful873/eda-base-model", "kernel_id": "90975878"}, {"ref": "saiful873/automl-flaml", "kernel_id": "90996041"}, {"ref": "omarvivas/lgbm-s5e9", "kernel_id": "90972551"}, {"ref": "omarvivas/xgb-s5e9", "kernel_id": "90974133"}, {"ref": "omarvivas/cb-s5e9", "kernel_id": "90974015"}, {"ref": "ahsuna123/eda-xgb-lightgbm-ridge-elasticnet-ensemble", "kernel_id": "90981218"}, {"ref": "mpwolke/dj-mix-follow-the-kaggle-beat", "kernel_id": "90972267"}, {"ref": "cid007/eda-baseline", "kernel_id": "90978292"}, {"ref": "wguesdon/ps5e9-eda", "kernel_id": "90990520"}, {"ref": "pinoystat/single-ridgecv-with-actionable-eda", "kernel_id": "90993237"}, {"ref": "jimgruman/song-tempo", "kernel_id": "90978302"}, {"ref": "jocelyndumlao/beats-per-minute-prediction-with-lightgbm", "kernel_id": "90986892"}, {"ref": "barbagrande007/bbg007-bpm-tf-model", "kernel_id": "90991620"}, {"ref": "ravi20076/playgrounds5e9-public-imports-v1", "kernel_id": "90924416"}, {"ref": "ravi20076/playgrounds5e9-public-baseline-v1", "kernel_id": "90973046"}, {"ref": "ravi20076/playgrounds5e9-public-baseline-v2", "kernel_id": "90990648"}, {"ref": "ravi20076/playgrounds5e9-public-features-v1", "kernel_id": "90991139"}, {"ref": "balajivaraprasad/bpm-eda-ols-xgb-blend", "kernel_id": "90974423"}, {"ref": "valliansayoga/playground-s5e9-tensorflow-mlp", "kernel_id": "90976674"}, {"ref": "insmora/s5e9-lightgbm-with-optuna", "kernel_id": "90987006"}, {"ref": "thuandao/predicting-the-bpm-comprehensive-eda-ml", "kernel_id": "90983078"}, {"ref": "rohansardar/s5e9-predicting-the-beats-using-lgbm-kfold", "kernel_id": "90978498"}, {"ref": "mariusborel/bpm-for-dj-lgbm", "kernel_id": "90975179"}, {"ref": "khoatran311/baseline-ridge-prediction", "kernel_id": "90972323"}, {"ref": "abeshith/every-beat-tells-a-story", "kernel_id": "90981617"}, {"ref": "daniyalatta/end-to-end-predicting-the-beats-xgbr-cat-lgb", "kernel_id": "90973045"}, {"ref": "daniyalatta/ps-s5-09-lightgbm-a-z-best-for-dataset-understand", "kernel_id": "90975651"}, {"ref": "daniyalatta/beats-per-minute-king-xgboost-model-blending", "kernel_id": "90982291"}, {"ref": "vivek7557/song-bpm-prediction", "kernel_id": "90993574"}, {"ref": "robertpatchin/s5e9-still-not-predicting-the-beats", "kernel_id": "90973282"}, {"ref": "danielgurwindas/predicting-beats", "kernel_id": "90997654"}, {"ref": "denvermagtibay/predicting-the-beats-per-minute-solid-baseline", "kernel_id": "90980829"}, {"ref": "mikhailnaumov/beats-per-minute-xgb-lgbm-hgb-nn-ydf", "kernel_id": "90997489"}, {"ref": "d4nilz/pss5e9-eda-predicting-the-beats-per-minute-of-son", "kernel_id": "90979352"}, {"ref": "sudhanshu3112/predicting-the-beats-eda-with-correlations", "kernel_id": "90982665"}, {"ref": "haohuanchen/ps-s5e9-lgbm", "kernel_id": "90999531"}, {"ref": "daosyduyminh/ensemblebeats-v3-feature-rich-bpm-predictor", "kernel_id": "90979545"}, {"ref": "daosyduyminh/bpm-prediction-comprehensive-eda-insights", "kernel_id": "90977300"}, {"ref": "aryamanvaishya/bpm-prediction-optuna-ensemble", "kernel_id": "90972956"}, {"ref": "aryamanvaishya/randomforest-ridge-lgb-3-some-eda", "kernel_id": "90972252"}, {"ref": "shubhamveer/statistical-regression-model-simple", "kernel_id": "90974221"}, {"ref": "shubhamveer/beatsperminute-ensemble-ga-based-models", "kernel_id": "90975038"}, {"ref": "shubhamveer/ps-s5e9-only-detailed-eda-guide-you-will-need", "kernel_id": "90977169"}, {"ref": "samarpanrai/bpm-of-songs-prediction-catboost", "kernel_id": "90992230"}, {"ref": "arunkumaroraon/beats-per-minute-ensemble-of-lgb-xgb-and-catreg", "kernel_id": "90997398"}, {"ref": "jiaoyouzhang/beats-per-minute-xgb-lgb-cat", "kernel_id": "90973983"}, {"ref": "moridata/update-score-26-38880-predicting-the-beats", "kernel_id": "90997615"}, {"ref": "rattans/linear-regression-beatsperminute-simple-model", "kernel_id": "90976100"}, {"ref": "mahmoudehab6677/songs-beats-per-minute-prediction", "kernel_id": "90977135"}, {"ref": "amritanshukush/beats-per-minute-s5e9", "kernel_id": "90979655"}, {"ref": "mirazul687/ensemble-s5e9", "kernel_id": "90921842"}, {"ref": "sanjidh090/ps5e9-ensemble-isotonic-regression", "kernel_id": "90995990"}, {"ref": "vinit08/beats-per-minute", "kernel_id": "90982865"}, {"ref": "canozensoy/ps-s5e9-feature-rich-blending-for-bpm-prediction", "kernel_id": "90987671"}, {"ref": "ianteigen/the-only-eda-you-need", "kernel_id": "90913545"}, {"ref": "ianteigen/xgb-lgbm-catboost-weighted-average-26-38518", "kernel_id": "90970928"}, {"ref": "ahmetemirakdogan/xgboost-super-simple-baseline-s5e9", "kernel_id": "90991325"}, {"ref": "kurellaharini/beats-per-minute-predictor-eda-rf-lightgbm", "kernel_id": "90995742"}, {"ref": "lainnovic/baseline-ensemble-trees-feature-engineering", "kernel_id": "90991908"}, {"ref": "ezellthaddeus/tuned-xgb-raw-data-private-score-26-38628", "kernel_id": "90981593"}, {"ref": "nina2025/ps-s5e9-predicting-the-beats-h-blend-1", "kernel_id": "90977657"}, {"ref": "farukece/exploratory-data-analysis", "kernel_id": "90974878"}, {"ref": "m1rac0x/s5e9-xgboost-optuna", "kernel_id": "90975805"}, {"ref": "benjaminlundkvist/simple-reproducible-baseline-lightautoml-lgbm", "kernel_id": "90997210"}, {"ref": "benjaminlundkvist/bpm-dataset-prediction-lightgbm-xgboost-catboost", "kernel_id": "90997790"}, {"ref": "benjaminlundkvist/bpm-prediction-with-lightgbm", "kernel_id": "90995590"}, {"ref": "benjaminlundkvist/easy-lightgbm-baseline-with-cv", "kernel_id": "90998976"}, {"ref": "jamesmcguigan/bpm-tensorflow", "kernel_id": "91647974"}, {"ref": "krabhijeet/songs-bpm-tabnet", "kernel_id": "91029752"}, {"ref": "tilii7/let-s-make-some-noisy-data", "kernel_id": "91445211"}, {"ref": "abisheksrivastav/tabnet-lightgbm-xgboost", "kernel_id": "91197924"}, {"ref": "abisheksrivastav/autogluon2", "kernel_id": "91345017"}, {"ref": "abisheksrivastav/autogluon", "kernel_id": "91278408"}, {"ref": "kritidoneria/automl-beginner-pycaret-baseline", "kernel_id": "91010811"}, {"ref": "rhtsingh/bpm-prediction-meta-ensemble-26-386-lb", "kernel_id": "91643626"}, {"ref": "docxian/ps-s5-e09-bpm-prediction", "kernel_id": "91018998"}, {"ref": "cdeotte/analyze-original-dataset-from-kaggle-playgrounds", "kernel_id": "91348498"}, {"ref": "cdeotte/xgb-starter-cv-26-4572", "kernel_id": "91355297"}, {"ref": "obiaf88/beats-per-minute-hill-climbing", "kernel_id": "91036795"}, {"ref": "sayedathar11/bpm-featureengg-optuna-stacking-ensemble", "kernel_id": "91005179"}, {"ref": "shravansk/predicting-beats-per-minute-baseline", "kernel_id": "91744233"}, {"ref": "makrrc/predicting-the-beats", "kernel_id": "91128428"}, {"ref": "saiful873/music-bpm-prediction-feature-transformation-fla", "kernel_id": "91330471"}, {"ref": "stpeteishii/bpm-robust-median-ensemble", "kernel_id": "91292678"}, {"ref": "stpeteishii/beatsperminute-mlp-w-new-feature", "kernel_id": "91225707"}, {"ref": "stpeteishii/beatsperminute-randomforest-w-new-feature", "kernel_id": "91225804"}, {"ref": "stpeteishii/beatsperminutes-ensemble-holdout-guided-blending", "kernel_id": "91232854"}, {"ref": "stpeteishii/beatsperminutes-ensemble-optuna", "kernel_id": "91228864"}, {"ref": "stpeteishii/beatsperminutes-ensemble-ridge-stacking", "kernel_id": "91231970"}, {"ref": "stpeteishii/beatsperminute-lgbmregressor", "kernel_id": "91084212"}, {"ref": "stpeteishii/beatsperminute-xgbregressor", "kernel_id": "91139904"}, {"ref": "stpeteishii/beatsperminute-catboostregressor", "kernel_id": "91140018"}, {"ref": "stpeteishii/bpm-autogluon-w-new-features", "kernel_id": "91520346"}, {"ref": "stpeteishii/bpm-feature-importance-compe-vs-origin-comparison", "kernel_id": "91658936"}, {"ref": "stpeteishii/bpm-oof-importance-check-for-stacking", "kernel_id": "91644796"}, {"ref": "stpeteishii/beatsperminute-ensemble-stacked-generalization", "kernel_id": "91878709"}, {"ref": "nakuleshj1998/playground-s5e9-bpm-prediction-baseline", "kernel_id": "91276631"}, {"ref": "nkaria1/playground-s5e3-beats-per-minute", "kernel_id": "91854081"}, {"ref": "kamonashis/pss5e9-random-forest", "kernel_id": "91488667"}, {"ref": "cid007/simple-eda-and-bl", "kernel_id": "91045353"}, {"ref": "tenebris97/bpm-detective-a-symphony-of-eda-ensembles-v1", "kernel_id": "91230948"}, {"ref": "tenebris97/bpm-detective-a-symphony-of-eda-ensembles-v11", "kernel_id": "91247946"}, {"ref": "wguesdon/ps5e9-ensemble", "kernel_id": "91010262"}, {"ref": "wguesdon/synthetic-dataset-and-baseline", "kernel_id": "91199347"}, {"ref": "fikricetin/playground-s5e9-deeptables", "kernel_id": "91175635"}, {"ref": "mehrankazeminia/s5e9-songs-combine-features", "kernel_id": "91321067"}, {"ref": "mehrankazeminia/s5e9-songs-rmse-cage", "kernel_id": "91221371"}, {"ref": "lonnieqin/bpm-prediction-challenge-comprehensive-solution", "kernel_id": "91496638"}, {"ref": "swas06/beatsperminute-eda", "kernel_id": "91087505"}, {"ref": "swas06/beatsperminute-modelling", "kernel_id": "91247917"}, {"ref": "tracyporter/play-5-9-linear-regression", "kernel_id": "91071899"}, {"ref": "arnabchakraborti21/elasticnetregression-log-scaling-bpm-26-3935", "kernel_id": "91033940"}, {"ref": "kaydenschwartz/predicting-the-beats-entry-09-2025", "kernel_id": "91495332"}, {"ref": "sasakitetsuya/feature-engineering-lightgbm-for-bpm-prediction", "kernel_id": "91057173"}, {"ref": "santosh1974/rhythm-data-complete-eda-for-song-bpm-predic", "kernel_id": "91301531"}, {"ref": "santosh1974/beat-the-clock-gpu-accelerated-bpm-prediction", "kernel_id": "91302310"}, {"ref": "santosh1974/one-click-bpm-boost-complete-auto-improvement", "kernel_id": "91304303"}, {"ref": "suhailab/bpm-prediction", "kernel_id": "91467116"}, {"ref": "sriram00777/basic-eda-prediction-bpm-prediction-challenge", "kernel_id": "91024896"}, {"ref": "sriram00777/basic-eda-pytorch-ann-predictions", "kernel_id": "91431023"}, {"ref": "berkayzkan/beats-per-minute-visualization", "kernel_id": "91315265"}, {"ref": "satyaprakashshukl/predicting-beats-per-minute-of", "kernel_id": "91716394"}, {"ref": "alan1305/pgs5e9-baseline-ensemble-with-original-data", "kernel_id": "91079652"}, {"ref": "ravi20076/playgrounds5e9-lbrace-v1", "kernel_id": "91617921"}, {"ref": "ravi20076/diamond-public-baseline-v1", "kernel_id": "91538479"}, {"ref": "ravi20076/playgrounds5e9-mixer-v1", "kernel_id": "91886490"}, {"ref": "saparbaikaznabekov/lgbm-xgb-ensemble", "kernel_id": "91348901"}, {"ref": "anwarabualhussien/data-in-harmony-visualizing-music-features", "kernel_id": "91170541"}, {"ref": "omidbaghchehsaraei/pss5e9-pytabkit-val-score-26-45711", "kernel_id": "91542838"}, {"ref": "omidbaghchehsaraei/pss5e9-gandalf-pytorch-cv-26-466", "kernel_id": "91240029"}, {"ref": "klyushnik/s5-e9-rmse-blend-26-38636", "kernel_id": "91080342"}, {"ref": "jefersonquiguantar/bpm-dbase", "kernel_id": "91551034"}, {"ref": "insmora/s5e9-simple-linear-regression", "kernel_id": "91007414"}, {"ref": "uuratl/ah-ha-ha-ha-stayin-alive-xgbregressor", "kernel_id": "91086124"}, {"ref": "rv1922/predicting-the-beats-eda-ml", "kernel_id": "91023388"}, {"ref": "rv1922/bpm-breakdown-what-makes-a-song-pulse", "kernel_id": "91016783"}, {"ref": "rv1922/predicting-the-beats-per-minute-of-songs-autogluon", "kernel_id": "91110985"}, {"ref": "karltonkxb/ps5e9-xgb-lgb-cuml-stacking", "kernel_id": "91032846"}, {"ref": "m4rcuseryx/finding-the-rhythm-for-song-bpm", "kernel_id": "91201651"}, {"ref": "rohansardar/predicting-the-beats-using-pytorch", "kernel_id": "91231618"}, {"ref": "ameniayedi/s5e9-predicting-bpm", "kernel_id": "91858272"}, {"ref": "rzatemizel/autogluon-isotonic-regression", "kernel_id": "91738924"}, {"ref": "rzatemizel/stacking-vs-hill-climbing-boosters-ridge-nn", "kernel_id": "91413267"}, {"ref": "mariusborel/xgboosted-beatsperminute", "kernel_id": "91124739"}, {"ref": "yogendrasinghyadav/predicting-the-beats-per-minute-of-songs", "kernel_id": "91988092"}, {"ref": "viktortaran/ps-s-5-e-9-beats-per-minute-regression", "kernel_id": "91091989"}, {"ref": "khoatran311/naive-tree-models-ensemble", "kernel_id": "91030995"}, {"ref": "santyagoamaya/beats-music", "kernel_id": "91629746"}, {"ref": "masayakawamata/s5e9-xgb-add-product-features", "kernel_id": "91459225"}, {"ref": "masayakawamata/s5e9-lgbm-add-product-features", "kernel_id": "91462270"}, {"ref": "masayakawamata/s5e9-cir-hill-climb-cv-26-4562-lb-26-3862", "kernel_id": "91291098"}, {"ref": "a3amat02/s05e09-started-eda-xgboost", "kernel_id": "91034229"}, {"ref": "minduthilakna/predicting-beats-xgboost-1", "kernel_id": "91191014"}, {"ref": "harharharhar/s05e09-bpm-catboost-xgboost", "kernel_id": "91719702"}, {"ref": "alisarpsunay/basic-pipeline-example-w-hisgradientboosting", "kernel_id": "91579121"}, {"ref": "evin97/ps5n9-beats-per-minute", "kernel_id": "91003921"}, {"ref": "vh10935cse20/lightgbm-beats-per-minute", "kernel_id": "91097426"}, {"ref": "vh10935cse20/catboost-music-beats", "kernel_id": "91014868"}, {"ref": "vh10935cse20/lgbm-caboost-beats-per-second", "kernel_id": "91656939"}, {"ref": "vh10935cse20/catboost-2-beats-per-second", "kernel_id": "91419321"}, {"ref": "mrarray22/predicting-the-beats", "kernel_id": "91916284"}, {"ref": "atharva0577/pytorch-tabular-s5e9-music-bpm", "kernel_id": "91518316"}, {"ref": "surenvayradyan/score-26-38659-xgb-lr-sc-cv-analysis", "kernel_id": "91312255"}, {"ref": "yogeshbawankar/bpm-prediction-with-lightgbm", "kernel_id": "91299674"}, {"ref": "les1781/predicting-bpm-of-songs-playground-series-s5e9", "kernel_id": "91015371"}, {"ref": "vishnupriyagarige/beats-per-minute-of-songs", "kernel_id": "91026361"}, {"ref": "iitm21f1003639/ps-s5e9-beats2bpm", "kernel_id": "91329018"}, {"ref": "itasps/r-notebook-linear-regression-model-for-ps-s5e9", "kernel_id": "91383460"}, {"ref": "snehalkhandewale/beats-per-min", "kernel_id": "91054598"}, {"ref": "garrickchinnis/predicting-the-beats-per-minute-of-songs-autogluon", "kernel_id": "91090957"}, {"ref": "abdelmalekeladjelet/beats-prediction", "kernel_id": "91493036"}, {"ref": "matejkamenicky/predicting-song-bpm-lightgbm-xgboost", "kernel_id": "91676173"}, {"ref": "natsusv9/index-beats-per-minutes", "kernel_id": "91094821"}, {"ref": "daniyalatta/using-autogluon-take-9-hours", "kernel_id": "91104530"}, {"ref": "daniyalatta/a-joke-all-the-120-baseline-model-repect-upvote", "kernel_id": "91254134"}, {"ref": "daniyalatta/you-should-take-a-look-at-it-once-feature-pipeline", "kernel_id": "91867326"}, {"ref": "vinodkumargurjar/predicting-song-bpm-regression-guide", "kernel_id": "91302783"}, {"ref": "francescoalbanesephd/s5e9-four-model-ensamble-w-optuna-v1-1", "kernel_id": "91098051"}, {"ref": "francescoalbanesephd/neurips-2025-polypred", "kernel_id": "91268347"}, {"ref": "jpvargas/s5e9-beats-per-minute", "kernel_id": "91535585"}, {"ref": "chiranjeevimchiru/bpm-s5e9-lgbm-26-38-v2", "kernel_id": "91389277"}, {"ref": "abderraoufsalehkihel/r-tidymodels-lgbm-lb-26-38202", "kernel_id": "91740484"}, {"ref": "pacificrm/ps-s5e9-playing-with-beats-lgbm", "kernel_id": "91229775"}, {"ref": "pacificrm/ps-s5e9-beating-with-beats-ensemble", "kernel_id": "91641165"}, {"ref": "nikita7364777/lb-26-38685-lgbm", "kernel_id": "91327896"}, {"ref": "shahansikandar/playground-se59-predicting-bpm-of-songs", "kernel_id": "91254981"}, {"ref": "engineerfrabbi/predicting-the-beats-per-minute-of-songs-1", "kernel_id": "91247651"}, {"ref": "engineerfrabbi/predicting-beats-per-minute-of-songs", "kernel_id": "91224779"}, {"ref": "amri11/predict-bpm-song-xgboost", "kernel_id": "91051821"}, {"ref": "wassimtahir/data-harmonization-eda-fe-ensemble-for-blending", "kernel_id": "91288010"}, {"ref": "dinmaybrahma/beatsperminute-prediction", "kernel_id": "91158270"}, {"ref": "danuherath/predicting-bpm-of-songs-regression", "kernel_id": "91144395"}, {"ref": "aryasatyagalen/lgbm-xgboost-catboost", "kernel_id": "91079630"}, {"ref": "akhilpm1996/predicting-the-beats-per-minute-of-songs", "kernel_id": "91020770"}, {"ref": "sanjaybora143/beatsperminute-catboost", "kernel_id": "91010220"}, {"ref": "kingkcabir/da-lgb-beats", "kernel_id": "91317269"}, {"ref": "rkmaurya93/beats-perminute-competition", "kernel_id": "91147674"}, {"ref": "tharun007tk/bpm-prediction", "kernel_id": "91634720"}, {"ref": "atrbyg24/beats-per-minute", "kernel_id": "91031406"}, {"ref": "anthonytherrien/beats-per-minute-ensemble-s5e9", "kernel_id": "91866526"}, {"ref": "himabindumarpini/ps-s5e9-lgbmclassifier-optunatuning", "kernel_id": "91174252"}, {"ref": "abdmental01/ps5e9-lgbm-baseline", "kernel_id": "91044400"}, {"ref": "abdmental01/ps5e9-xgb-lgbm-cv-26-4579", "kernel_id": "91033585"}, {"ref": "solomonajaero/s05-e09-beat-per-minute", "kernel_id": "91607802"}, {"ref": "muhumuzadeusai/predicting-beats-per-minute-catboost", "kernel_id": "91007369"}, {"ref": "kitonbass/catboosted-predictions", "kernel_id": "91769210"}, {"ref": "rejk11/grid-searching-xgboost-predicting-the-beats", "kernel_id": "91144311"}, {"ref": "lucasmoraes001/beatsperminute-notebook-em-pt-br", "kernel_id": "91350093"}, {"ref": "bokkuzu/a-joke-all-120-baseline-model", "kernel_id": "91093952"}, {"ref": "mihailodin1/eda-fe-stacking", "kernel_id": "91122213"}, {"ref": "sujansupraj2000/bpm-prediction", "kernel_id": "91476436"}, {"ref": "princekhunt19/beats-per-minute-prediction-full-explanation", "kernel_id": "91006494"}, {"ref": "shubhamveer/feature-engg-dual-meta-modeling-cv-score-26-3874", "kernel_id": "91231484"}, {"ref": "chicharito69/predictingbeats", "kernel_id": "91639336"}, {"ref": "muhammadhamzamaher/beats-per-minutes-of-song-kfold-cross-validation", "kernel_id": "91414192"}, {"ref": "kirikiti/random-forest-2-features-beatspermin-s5e9", "kernel_id": "91162776"}, {"ref": "poojakuniyal/song-tsne-umap-eda", "kernel_id": "91541777"}, {"ref": "michelerendina/predict-beats", "kernel_id": "91670034"}, {"ref": "oruruponsiano/predicting-the-beats", "kernel_id": "91005939"}, {"ref": "amjadzhour/predicting-the-beats-per-minute-of-songs-26-3", "kernel_id": "91369771"}, {"ref": "samarpanrai/xgboost-catboost-bpm-of-songs-prediction", "kernel_id": "91082608"}, {"ref": "jaxa623/simple-3-ensmbles", "kernel_id": "91185761"}, {"ref": "udayprattap/beats-prediction", "kernel_id": "91164060"}, {"ref": "dmitryvolovikov/predicting-the-beats-per-minute-of-songs", "kernel_id": "91030328"}, {"ref": "clemencetravers/s5-e9-neural-network", "kernel_id": "91398024"}, {"ref": "arunkumaroraon/bpm-pred-with-new-feature-engineering-technique", "kernel_id": "91318231"}, {"ref": "garvitdhanwaria/beats-pred", "kernel_id": "91082109"}, {"ref": "xixama/playgroundbeats-s5e9-champ-score-26-55861", "kernel_id": "91507561"}, {"ref": "yashsahu02/predicting-the-beats-per-minute-of-songs-s5e9", "kernel_id": "91015488"}, {"ref": "somepatt/a-little-bit-of-iterations-lb-26-38097", "kernel_id": "91949489"}, {"ref": "dureyashfeen/predicting-the-beats-per-minute-of-songs-ps5e9", "kernel_id": "91028882"}, {"ref": "adilshamim8/predicting-the-beats-per-minute-of-songs-101", "kernel_id": "91010083"}, {"ref": "vaibhavbarala26/xgboost-catboost-average-ensemble", "kernel_id": "91031194"}, {"ref": "abdullahhaydarkadolu/pred-beat-1", "kernel_id": "91041969"}, {"ref": "wafaaalayoubi/full-eda-xgboost", "kernel_id": "91725635"}, {"ref": "wafaaalayoubi/simple-eda-linear-regression", "kernel_id": "91241666"}, {"ref": "hns2611/predicting-the-beats-per-minute-of-songs-in-python", "kernel_id": "91333183"}, {"ref": "williamgolding/s5e9-are-competition-data-s-targets-random", "kernel_id": "91996748"}, {"ref": "williamgolding/s5e9-main", "kernel_id": "91005081"}, {"ref": "shevtsovapolina/pv19-44", "kernel_id": "91160959"}, {"ref": "yashdev01/bpm-prediction-nn", "kernel_id": "91638556"}, {"ref": "yashdev01/bpm-prediction-short-eda", "kernel_id": "91063127"}, {"ref": "yashdev01/gpu-boost-for-bpm-predictions-s5e9", "kernel_id": "91243473"}, {"ref": "yashdev01/bpm-predictions", "kernel_id": "91315614"}, {"ref": "amritanshukush/beats-per-minute-lightgbm-s5e9", "kernel_id": "91300749"}, {"ref": "mirazul687/ps-s5e9-blending", "kernel_id": "91107507"}, {"ref": "sanjidh090/ps-s5e9-regression", "kernel_id": "91010334"}, {"ref": "sanjidh090/thoughts-on-eda-and-datasets", "kernel_id": "91352114"}, {"ref": "sanjidh090/tab-transformer", "kernel_id": "91677863"}, {"ref": "sanjidh090/ensemble-team-tab-lgbm-xgb-cat-ridge", "kernel_id": "91810245"}, {"ref": "sanjidh090/data-is-all-you-need-to-care-about", "kernel_id": "91482024"}, {"ref": "sarazahran1/music-bpm-prediction-project", "kernel_id": "91096278"}, {"ref": "theallkeeeymist/predicting-beat-playground", "kernel_id": "91815048"}, {"ref": "jessewaite/lightgbm-simplified-no-data-mods", "kernel_id": "91143659"}, {"ref": "maityritwik/rmse-26-4662-with-only-linear-regression", "kernel_id": "91027611"}, {"ref": "mayankdalal/competition-2", "kernel_id": "91792534"}, {"ref": "marii8st/xgb-beats-predictor", "kernel_id": "91064399"}, {"ref": "mah20050/projects-for-pricting-the-beast-with-python", "kernel_id": "91185658"}, {"ref": "pl1ght/simple-catboost-prediction", "kernel_id": "91026053"}, {"ref": "lele25811/s05e09-predicting-beats-per-minute-of-songs", "kernel_id": "91256607"}, {"ref": "akiraxrd/tuning-is-all-you-need-lightgbm-with-optuna", "kernel_id": "91551701"}, {"ref": "akiraxrd/diving-in-beats-per-minute-prediction-with-pytorch", "kernel_id": "91117362"}, {"ref": "akiraxrd/diving-into-beats-per-minute-prediction-ensemble", "kernel_id": "91272830"}, {"ref": "vedikasd/beat-the-beat-linear-model-with-feature-magic", "kernel_id": "91194155"}, {"ref": "olaflundstrom/playground-series-sezon-5-b-l-m-9-not-defteri", "kernel_id": "91208911"}, {"ref": "sarbojeetbhowmick/prebs-sb", "kernel_id": "91718292"}, {"ref": "aneevinay/music-bpm-randomforest", "kernel_id": "91002020"}, {"ref": "harshsharma2704/predicting-the-beats-per-minute-of-songs", "kernel_id": "91007771"}, {"ref": "albab12/score-26-38725-beats-per-minute-of-songs", "kernel_id": "91384149"}, {"ref": "chiragsharma1201/predicting-beats-per-minute", "kernel_id": "91013276"}, {"ref": "adarsh79x/bpm-v2-pytorch-26-39", "kernel_id": "91099284"}, {"ref": "shivams811/predicting-song-bpm-eda-ml", "kernel_id": "91157179"}, {"ref": "devanshshukla123/lightbgm-randomlystated", "kernel_id": "91729153"}, {"ref": "kaustavroychowdhury/playground-s5e9-bpm-prediction-rmse-26-390", "kernel_id": "91191223"}, {"ref": "kaziaishikuzzaman/pse5e9-kazi", "kernel_id": "91857568"}, {"ref": "khai42/xgb-model-score-26-39", "kernel_id": "91011252"}, {"ref": "khai42/xgb-optuna", "kernel_id": "91061774"}, {"ref": "abdellahmdn/exploratory-data-analysis-music-bpm-prediction", "kernel_id": "91420997"}, {"ref": "abdellahmdn/feature-analysis-in-3-minutes-essential-correl", "kernel_id": "91550562"}, {"ref": "abdellahmdn/statistical-insights-dataset-challenges-bpm", "kernel_id": "91506313"}, {"ref": "analyticaobscura/from-data-to-dancefloor-eda-bpm-prediction", "kernel_id": "91005685"}, {"ref": "marpinipavansrikar/ps-s5e9-lgbmclassifier-optuna-tuning", "kernel_id": "91094243"}, {"ref": "digitalbloger/predicting-the-beats-per-mint-santu-saha", "kernel_id": "91162053"}, {"ref": "sumedhrmundewadi/notebookd0cc39c453", "kernel_id": "91017122"}, {"ref": "davidalejandrojorge/beats-prediction-mlp-lgbm-xgb-cb", "kernel_id": "91182533"}, {"ref": "syedfarazhussaini/playground-series-s5e9", "kernel_id": "91524054"}, {"ref": "emircansoftware/beats-compare-models-xgb-kfold", "kernel_id": "91001352"}, {"ref": "yupengpei/notebook123", "kernel_id": "91919907"}, {"ref": "isaacmenard/easy-bpm-prediction-xgboost", "kernel_id": "91086809"}, {"ref": "lakshyachauhan1/bpscomp", "kernel_id": "91770485"}, {"ref": "princevegeta515/tiny-nudges-big-gains-public-score-26-38135", "kernel_id": "91821069"}, {"ref": "nina2025/ps-s5e9-predicting-the-beats-h-blend-3", "kernel_id": "91497621"}, {"ref": "nina2025/ps-s5e9-blend-medium-version", "kernel_id": "91783713"}, {"ref": "nina2025/ps-s5e9-blend-light-version", "kernel_id": "91665795"}, {"ref": "nina2025/ps-s5e9-predicting-the-beats-h-blend-2", "kernel_id": "91292335"}, {"ref": "themagdum/predicting-beats-per-minute-of-songs", "kernel_id": "91552436"}, {"ref": "abdulrahmanqaten/bpms-play-s5-e9", "kernel_id": "91420207"}, {"ref": "riddhimaiti/predicting-bpm-of-songs-regression", "kernel_id": "91275696"}, {"ref": "ppilania1985/ps5-e9-ensemble-baseline-chatgpt-lb-0-3854", "kernel_id": "91752227"}, {"ref": "avineshprabhakaran/end-to-end-bpm-prediction", "kernel_id": "91224658"}, {"ref": "zorornoa/musicbpm", "kernel_id": "91175972"}, {"ref": "adityakumarsingh135/bpm-deep-learning", "kernel_id": "91753503"}, {"ref": "cengizgurel/s05e09-kfold-cv-lightgbm", "kernel_id": "91264221"}, {"ref": "tayloriyamoon/mlp-autoencoder-test", "kernel_id": "91465317"}, {"ref": "tayloriyamoon/mlp-autoencoder-test-v2", "kernel_id": "91498347"}, {"ref": "tayloriyamoon/all-you-need-is-contrasting-models-encoders", "kernel_id": "91507830"}, {"ref": "gabrielcortinhas/bpm-gb-ensemble-optuna-hyperparam-tuning", "kernel_id": "91744444"}, {"ref": "uchi8977/stacking-lgb-xgb-cb-lr", "kernel_id": "91743962"}, {"ref": "razanihababdellatif/predicting-song-bpm-with-machine-learning", "kernel_id": "91116137"}, {"ref": "masakane/baseline-xgboost", "kernel_id": "91011744"}, {"ref": "ysfa7md/playground-s5-e9-catboostregressor", "kernel_id": "91188999"}, {"ref": "hzning/top8-solution-26-38531-lgbm-is-all-you-need", "kernel_id": "91012312"}, {"ref": "hzning/predicting-bpm-with-lightgbm", "kernel_id": "91392033"}, {"ref": "victorialitan/solution-1-with-ae-mlp-hgb", "kernel_id": "91496121"}, {"ref": "lytvyiv1/bpm-predictions-with-stacking-lgbm-xgb-mlp", "kernel_id": "91251479"}, {"ref": "hassanbrother/sound-beats-prediction", "kernel_id": "91270905"}, {"ref": "vshaurya00/first-kaggle-competetion", "kernel_id": "91266290"}, {"ref": "ufukckose/s5e9-final-ensemble-model", "kernel_id": "91105253"}, {"ref": "sparshagarwal0411/sparsh", "kernel_id": "91769730"}, {"ref": "venkatagirigowda/rf-regressor-score-26-38438", "kernel_id": "91890057"}, {"ref": "crystalyoung888/solution-1-remix-attempt-adding-mlp", "kernel_id": "91437549"}, {"ref": "crystalyoung888/hybrid-pipeline-with-gandalf-style-architecture", "kernel_id": "91438118"}, {"ref": "crystalyoung888/all-you-need-is-anti-collapse-streamelined-3-0", "kernel_id": "91463309"}, {"ref": "crystalyoung888/all-you-need-is-anti-collapse-b", "kernel_id": "91466835"}, {"ref": "crystalyoung888/all-you-need-is-anti-collapse-streamelined", "kernel_id": "91458605"}, {"ref": "crystalyoung888/custom-activation-functions-2-0", "kernel_id": "91510333"}, {"ref": "crystalyoung888/v3-custom-activation-functions", "kernel_id": "91513414"}, {"ref": "crystalyoung888/ensemble-top-notebook-variance-submission", "kernel_id": "91515642"}, {"ref": "crystalyoung888/tuned-solution", "kernel_id": "91139243"}, {"ref": "crystalyoung888/solution-1-re-remix", "kernel_id": "91289322"}, {"ref": "crystalyoung888/k-medoids-ensemble", "kernel_id": "91218917"}, {"ref": "mshahidf/simple-bpm-prediction", "kernel_id": "91245385"}, {"ref": "karol05/beats-per-minute1", "kernel_id": "91108359"}, {"ref": "msohaibsiddiqui/prediciting-btm-of-a-song", "kernel_id": "91824547"}, {"ref": "truongthuankiet/lightgbm-new-score-26-38638-and-extra-eda", "kernel_id": "91336784"}, {"ref": "zollkron/lightgbm-model-comparison-fe-cv", "kernel_id": "92163629"}, {"ref": "stpeteishii/bpm-autogluon-w-customized-model-new-features", "kernel_id": "92719096"}, {"ref": "stpeteishii/bpm-lgbmregressor-w-pca-isolationforest", "kernel_id": "92032448"}, {"ref": "kumarkatariya/light-gbm-26-38754-simple", "kernel_id": "92703826"}, {"ref": "kumarkatariya/light-gbm-26-38680-simple-code", "kernel_id": "92064231"}, {"ref": "kumarkatariya/light-gbm-full-data-oof", "kernel_id": "92361054"}, {"ref": "nicobarea/s5e9-rmse-lgbm-xgb", "kernel_id": "92394553"}, {"ref": "aasirwaseer/end-to-end-bpm-prediction-master-class", "kernel_id": "92469127"}, {"ref": "ragzerothical/cleanver-csa-xgb-synth-ensemble-s5e9", "kernel_id": "92691159"}, {"ref": "aroraaakansha/music-beats", "kernel_id": "92835890"}, {"ref": "spacesurfer/stacking-blending-xgb-lgbm-cat-26-3858", "kernel_id": "92730120"}, {"ref": "artempanush/s5e9-beats-per-minute-dilemma", "kernel_id": "92721324"}, {"ref": "adithyachalla/eda-multi-model-prediction-of-song-beats", "kernel_id": "92945668"}, {"ref": "leonchani/01-only-eda-predicting-the-beats-per-minute-of-son", "kernel_id": "92858281"}, {"ref": "conradkleykamp/song-bpm-prediction-lgbm-kfold", "kernel_id": "92159091"}, {"ref": "swarnabh31/fcm-approach-for-beats-prediction", "kernel_id": "92171659"}, {"ref": "satyaprakashshukl/h20-predicting-beats-per-minute-of", "kernel_id": "92229784"}, {"ref": "ravi20076/playgrounds5e9-randomnoise", "kernel_id": "92246305"}, {"ref": "rv1922/predict-the-beats-with-xgb", "kernel_id": "92062323"}, {"ref": "yixuliu/predicting-the-beats-per-minute-of-songs", "kernel_id": "92318376"}, {"ref": "rohanrathod02/predicting-the-beats-lr-rf-lightgbm-xgb", "kernel_id": "92657843"}, {"ref": "m4rcuseryx/neural-network-finding-rhythm-for-song-bpm", "kernel_id": "92921609"}, {"ref": "rohansardar/s5e9-full-pipeline-implementation-lightgbm", "kernel_id": "92043686"}, {"ref": "srinivasta/predicting-the-beats", "kernel_id": "92784164"}, {"ref": "francescoliveras/ps-s5-e9-eda-model-en-es", "kernel_id": "92062103"}, {"ref": "miadul/beats-per-minute-prediction-eda-preprocessing", "kernel_id": "92121034"}, {"ref": "rodrickmpofu/bpm-prediction-exploratory-data-analysis-v1", "kernel_id": "92784878"}, {"ref": "yunsuxiaozi/pss5e9-lb-overfit-simulator", "kernel_id": "92116155"}, {"ref": "kazoric/predicting-the-beats-per-minute-of-songs", "kernel_id": "92905519"}, {"ref": "limitwolf/bpm-dubusonic-v1-1", "kernel_id": "92010349"}, {"ref": "piotrpowroznik/beats-per-minute-lightgbm-pipeline", "kernel_id": "92147172"}, {"ref": "diegoamd/songs-bpm-prediction-xgb", "kernel_id": "92688122"}, {"ref": "diegoamd/songs-bpm-prediction-random-search-xgb-lgbm", "kernel_id": "92951402"}, {"ref": "fdemoribajolin/bpm-prediction", "kernel_id": "92347734"}, {"ref": "subarnasaikia/randomise-beatspermintues", "kernel_id": "92732782"}, {"ref": "subarnasaikia/beatspermintues", "kernel_id": "92729788"}, {"ref": "viviansam/predict-bpm-of-songs", "kernel_id": "92518540"}, {"ref": "chiranjeevimchiru/s5e9-catboost-lightgbm-xgboost", "kernel_id": "92039994"}, {"ref": "youngsunjoung/beatperminute", "kernel_id": "92972755"}, {"ref": "umeshk10/s5-e9-neural-network-approach", "kernel_id": "92626272"}, {"ref": "michaelgrybko/dataexplorationpredictingsongbpm", "kernel_id": "92576677"}, {"ref": "mrakmishra/s5e9-ensemble-notebook-2", "kernel_id": "92016078"}, {"ref": "anthonytherrien/deep-residual-mlp-for-tabular-regression", "kernel_id": "92450489"}, {"ref": "shohan06/beats-per-minutes-single-xgb", "kernel_id": "92761323"}, {"ref": "al1nasir/predicting-beats-per-minute-of-songs", "kernel_id": "92959781"}, {"ref": "abhinavyadav5040/beats-per-minute-s5e9", "kernel_id": "92005205"}, {"ref": "antonoof/beginners-eda-model", "kernel_id": "92352387"}, {"ref": "ankitsharma224589/predicting-song-bpm-with-xgboost-lightgbm-ensemble", "kernel_id": "92089353"}, {"ref": "kimhoogenboom/sad-chill-modeling", "kernel_id": "92944206"}, {"ref": "pranabbh09/beat-ps", "kernel_id": "92728697"}, {"ref": "koushikkumardinda/predicting-the-beats-per-minute-of-songs", "kernel_id": "92871800"}, {"ref": "pagidipallyajaykumar/notebookfbc03185ef", "kernel_id": "92157694"}, {"ref": "sai10py/bpm-prediction-little-eda", "kernel_id": "92078092"}, {"ref": "atikahossainainun/bpm-prediction", "kernel_id": "92903439"}, {"ref": "yashwanthkurakula/advanced-bpm-prediction-multi-model-ensemble", "kernel_id": "92455555"}, {"ref": "rishipri/predicting-the-beats-per-minute", "kernel_id": "92427511"}, {"ref": "birunthabanrajendram/s5e9-predicing-beats-per-minute", "kernel_id": "92619354"}, {"ref": "fakihakhan999/beats-minute-predictiction-of-songs-rmse-22", "kernel_id": "92183731"}, {"ref": "atharvav75/beats-per-minute-lgbm-xgboost-ensemble", "kernel_id": "92997731"}, {"ref": "iftikharhasan/predicting-the-beats", "kernel_id": "92615724"}, {"ref": "ahmedbaalash/song-rhythm-prediction-gb-xgb-models", "kernel_id": "92911714"}, {"ref": "williamgolding/s5e9-xgboost-optuna-hyperparameter-tuning", "kernel_id": "92257967"}, {"ref": "sanjidh090/is-blending-worth-a-try", "kernel_id": "92017632"}, {"ref": "erdembozyel/play-ground-5-9", "kernel_id": "92143307"}, {"ref": "nishitbhardrwaj/beatstack-s5e9-bpm-ensemble", "kernel_id": "92670909"}, {"ref": "christiangale/predict-bpm-using-lgbm", "kernel_id": "92986525"}, {"ref": "gopumanvith/beats-per-minute", "kernel_id": "92202926"}, {"ref": "nanda0110/pred-beats-song", "kernel_id": "92645497"}, {"ref": "eminaanapaydn/beats-per-minute-prediction", "kernel_id": "92118660"}, {"ref": "sudarshankhot/beats-per-minute-ensemble", "kernel_id": "92001507"}, {"ref": "johnkihoro/predicting-beats-per-minute-using-audio-features", "kernel_id": "92518322"}, {"ref": "mdnaimislam165436/playgrounds5e9-randomnoise", "kernel_id": "92272848"}, {"ref": "geekyroshan/exploratory-data-analysis", "kernel_id": "92347143"}, {"ref": "almantz/bpm-prediction-model", "kernel_id": "92551243"}, {"ref": "khai42/eda-of-beats-per-minute", "kernel_id": "92109447"}, {"ref": "abdellahmdn/predicting-bpm-with-lightgbm-clean-code-26-38", "kernel_id": "92346173"}, {"ref": "abdellahmdn/bpm-prediction-simple-lgbm-fast-effective", "kernel_id": "92143287"}, {"ref": "abdellahmdn/predicting-song-bpm-using-lgbm-xgb-catboost", "kernel_id": "92812903"}, {"ref": "mdferozahmedafm/predicting-song-tempo-bpm-with-machine-learning", "kernel_id": "92839387"}, {"ref": "dhirendra6002/stacking-for-beats-of-songs-rank-under-200", "kernel_id": "92080474"}, {"ref": "princevegeta515/ensemble-blending-postprocessing-26-38071-rmse", "kernel_id": "92041860"}, {"ref": "nina2025/ps-s5e9-h-blend-26-38-054-055-069-071-240", "kernel_id": "92353592"}, {"ref": "nina2025/ps-s5e9-cfs-h-blend-1-not-a-age-not-noise", "kernel_id": "92122075"}, {"ref": "nina2025/s5e9-semi-final-1", "kernel_id": "92925621"}, {"ref": "ishhverma/optuna-along-with-lgbm", "kernel_id": "92522026"}, {"ref": "monalisacom/notebook0abc464edb", "kernel_id": "92582992"}, {"ref": "gregpelletier/y-pred-mean-beatsperminute-public-score-26-39", "kernel_id": "92679552"}, {"ref": "stephentarter/bpm-prediction-2-s5e9", "kernel_id": "92406766"}, {"ref": "prathamshah098/beats-project", "kernel_id": "92666810"}, {"ref": "nisargmehta3100/predict-the-beats-per-minutes-of-song", "kernel_id": "92266700"}, {"ref": "raedneffati/beats-per-minute-ensemble-s5e9", "kernel_id": "92096993"}, {"ref": "ejparth/s5e9-beats", "kernel_id": "93421530"}, {"ref": "qwerty29544/baseline", "kernel_id": "93496005"}, {"ref": "arnorostamlou/lightgbm-with-hyperparameter-tuning", "kernel_id": "93116215"}, {"ref": "obiaf88/ensemble-learning-s5e8", "kernel_id": "93325265"}, {"ref": "skarthikguruswamy/notebook7482fb8650", "kernel_id": "93650786"}, {"ref": "predictmeifyoucan/bpm-full-pipeline-gpu-accelerated-a-guide", "kernel_id": "93418888"}, {"ref": "kmmmvs/0-00001-gain", "kernel_id": "93454560"}, {"ref": "neharaj1518/s5e9-predicting-the-beats-per-minute-of-songs", "kernel_id": "93526093"}, {"ref": "swas06/beatsperminute-model", "kernel_id": "93082680"}, {"ref": "mohamedabder/01-eda-predicting-the-beats-per-minute-of-songs-ip", "kernel_id": "93526091"}, {"ref": "mohamedabder/02-modelisation-predicting-the-beats-per-minute-of", "kernel_id": "93526420"}, {"ref": "prashantpathak244/simple-lr", "kernel_id": "93437838"}, {"ref": "josephnehrenz/s5e9-predicting-beats-with-random-forest", "kernel_id": "93532152"}, {"ref": "hamnaqaseem/neuralgenix", "kernel_id": "93272508"}, {"ref": "sidde95/deep-learning-approach-to-song-bpm-prediction", "kernel_id": "93398385"}, {"ref": "pankajguleria11/predicting-bpm-with-lightgbm", "kernel_id": "93161815"}, {"ref": "satyaprakashshukl/predicting-road-accident-risk", "kernel_id": "93812811"}, {"ref": "ravi20076/playgrounds5e10-public-baseline-v1", "kernel_id": "93565041"}, {"ref": "ravi20076/playgrounds5e8-moreluck", "kernel_id": "93289088"}, {"ref": "gkanamoto/s5e9-ensembling", "kernel_id": "93094897"}, {"ref": "trangha2710/playground-s5e9-decision-tree-regressor", "kernel_id": "93462585"}, {"ref": "ceecreative/predicting-the-beats-per-minute-of-songs", "kernel_id": "93225604"}, {"ref": "diegoamd/stacking-models-for-bpm-prediction", "kernel_id": "93375306"}, {"ref": "diegoamd/songs-bpm-prediction-lasso-ridge-forest", "kernel_id": "93302027"}, {"ref": "subarnasaikia/base-bpm", "kernel_id": "93328799"}, {"ref": "dasdasdada/bpm-prediction-lgbm-xgboost-catboost-ensemble", "kernel_id": "93325567"}, {"ref": "sukhmansaran/predicting-beats-made-easy", "kernel_id": "93505873"}, {"ref": "kartikgs/playground-s5e9-beats-finala95e435d4b", "kernel_id": "93656988"}, {"ref": "shadesh/lightgbm-xgboost-randomforest", "kernel_id": "93348751"}, {"ref": "shadesh/deep-mlp-cv-training-logic", "kernel_id": "93349510"}, {"ref": "igliszs/fe-lgb-and-gatb", "kernel_id": "93529355"}, {"ref": "devbatrax/s5e9-predict-bpm-easy-rfr", "kernel_id": "93473231"}, {"ref": "abdmental01/ps5e10-xgb-baseline", "kernel_id": "93564769"}, {"ref": "saimude/predict-beats", "kernel_id": "93103884"}, {"ref": "shubhamveer/autoencoders-with-ga-based-modelling", "kernel_id": "93583503"}, {"ref": "mani01shankar/notebook", "kernel_id": "93068829"}, {"ref": "kirikiti/normal-distribution", "kernel_id": "93159307"}, {"ref": "abdulahadshaik/predicting-the-beats-per-minute-of-songs-15", "kernel_id": "93488300"}, {"ref": "abdulahadshaik/predicting-the-beats-per-minute-of-songs-12", "kernel_id": "93377043"}, {"ref": "rohit8527kmr7518/beat-per-minute", "kernel_id": "93063716"}, {"ref": "seddikbenkerrouche/geometric-blend", "kernel_id": "93531461"}, {"ref": "ahmedgamalalisherif/beats-by-lightgbm-26-46-rmse", "kernel_id": "93264582"}, {"ref": "williamgolding/s5e9-xgboost-lightgbm-stack", "kernel_id": "93291390"}, {"ref": "williamgolding/s5e9-lightgbm-optuna-hyperparameter-tuning", "kernel_id": "93501826"}, {"ref": "adrianscheibelhut/random-forrest", "kernel_id": "93077370"}, {"ref": "adrianscheibelhut/notebookbf62f56129", "kernel_id": "93291710"}, {"ref": "adrianscheibelhut/random-forrest-2", "kernel_id": "93262184"}, {"ref": "sanjidh090/a-few-blends-to-cave", "kernel_id": "93022076"}, {"ref": "sanjidh090/one-last-dance-in-the-beats", "kernel_id": "93295381"}, {"ref": "dmitrysavkov/predicting-bpm-s5e9", "kernel_id": "93743351"}, {"ref": "ishitabahamnia/predicting-the-beats-per-minute-of-songs5cd9914f56", "kernel_id": "93114466"}, {"ref": "devpatel132/predicting-the-beats-per-minute-of-songs", "kernel_id": "93053994"}, {"ref": "deniztatar/deniz-deneme", "kernel_id": "93408021"}, {"ref": "hafsakomal/predicting-the-beats-per-minute-of-songs", "kernel_id": "93168413"}, {"ref": "hafsakomal/stage-3-weighted-blending-no-pca", "kernel_id": "93177904"}, {"ref": "ryqn00/pedicting-beats-per-second-autogluon", "kernel_id": "93268576"}, {"ref": "abdellahmdn/clustering-ml-for-bpm-prediction-last-chance", "kernel_id": "93515966"}, {"ref": "seinalarifin/predict-bpm-with-ensemble-learning", "kernel_id": "93603592"}, {"ref": "umapravallika23/predict-bpm-rate", "kernel_id": "93147535"}, {"ref": "boiniabhiram/beats-per-minute-xgb-lgb-cat", "kernel_id": "93432068"}, {"ref": "nina2025/ps-s5e9-final", "kernel_id": "93214522"}, {"ref": "nina2025/s5e9-semi-final-2", "kernel_id": "93110139"}, {"ref": "riddhimaiti/linear-regression-from-scratch-on-song-data", "kernel_id": "93630370"}, {"ref": "samiratasneem/beats-per-min", "kernel_id": "93100255"}, {"ref": "hmnshudhmn24/predict-beats-per-minute-s5e9", "kernel_id": "93346443"}, {"ref": "soonduck/beats-per-minute-ensemble", "kernel_id": "93373109"}, {"ref": "sanskarshindeds/beatsperminuteprediction", "kernel_id": "93343615"}, {"ref": "aakritrajput/bpm-prediction", "kernel_id": "93164145"}, {"ref": "aadvikskosuru/bpm-predictions-using-sklearn", "kernel_id": "93232030"}, {"ref": "mohankrishnathalla/predicting-the-beats-per-minute-of-songs", "kernel_id": "93897155"}, {"ref": "nickrobertz/predicting-bpm-using-ridge-lasso-and-xgboost", "kernel_id": "93002852"}, {"ref": "nickrobertz/predicting-bpm-using-ridge-lasso-and-xrboost", "kernel_id": "93350699"}, {"ref": "muhammadsheerazf/playground-series-season-5-episode-9", "kernel_id": "93179608"}, {"ref": "narililly/predicting-the-beats-per-minute-of-songs", "kernel_id": "93242369"}, {"ref": "akashvinoo/bpm-regression", "kernel_id": "93205374"}, {"ref": "dianaaparicio/v2-beatsperminute", "kernel_id": "93377623"}, {"ref": "howdylin/notebook75366b8025-public-score-26-38763", "kernel_id": "94372926"}, {"ref": "doronfingold/bpm-r", "kernel_id": "94625277"}, {"ref": "janizmer/ridge-boosting-rf-stacking", "kernel_id": "94533830"}, {"ref": "andyhsu1997/investigating-the-weak-bpm-signal", "kernel_id": "95230384"}, {"ref": "andyhsu1997/simple-xgb-model-predict-bpm", "kernel_id": "95225520"}, {"ref": "seinalarifin/visualisation-beats-perminute", "kernel_id": "95261011"}, {"ref": "imashum/beats-per-minute-of-songs", "kernel_id": "95913415"}, {"ref": "hughchoi/svm-exploration-playground-comp", "kernel_id": "95297726"}, {"ref": "sanketghadge1/music-beats2f35c850d0", "kernel_id": "96533779"}, {"ref": "ldausl/top-1-predicting-the-beats-per-minute-of-songs", "kernel_id": "96198399"}, {"ref": "akshaypatil11/predicting-the-beats-per-minute-of-songs", "kernel_id": "97442391"}, {"ref": "kannurukrishnaveni/predicting-bpm-of-songs", "kernel_id": "97092280"}, {"ref": "osmansevili/beats-per-minute", "kernel_id": "97312093"}, {"ref": "vamsi5132k/beats-per-minute", "kernel_id": "98713366"}, {"ref": "cagrokan/bpm-prediction-with-lightgbm", "kernel_id": "98836385"}, {"ref": "codehashira/predicting-beats-per-minute-playground", "kernel_id": "100076929"}, {"ref": "ekisajosephopurongo/day-1-prompting", "kernel_id": "100218968"}, {"ref": "alexzyukov/bpm-regression", "kernel_id": "101700019"}, {"ref": "gamzebabayigit/beats-per-minutes", "kernel_id": "101773176"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "doganatmaca/predicting-the-beats-per-minute", "kernel_id": "102098002"}, {"ref": "romaneyvazov/predicting-the-bpm-of-songs-v2-public-26-39460", "kernel_id": "102466876"}, {"ref": "pranavmskrishnan/beatsperminuteprediction", "kernel_id": "103539954"}, {"ref": "handeharmankaya/predicting-the-beats", "kernel_id": "103380424"}, {"ref": "nguyenminhduc9966/diverse-geo", "kernel_id": "103496116"}, {"ref": "nguyenminhduc9966/geo-blend", "kernel_id": "103495690"}, {"ref": "nguyenminhduc9966/baseline", "kernel_id": "103495259"}, {"ref": "nguyenminhduc9966/notebook82428f4e2b", "kernel_id": "103037721"}, {"ref": "nguyenminhduc9966/predict-bpm-of-songs", "kernel_id": "104395301"}, {"ref": "cristhianccalah/nk-hgbc-rf-lgbm-catb-xgb", "kernel_id": "105734303"}, {"ref": "enesyama/beatsperminuteregression", "kernel_id": "105515190"}, {"ref": "aminrezabahrami/beats-per-minute-xgboost", "kernel_id": "107561190"}, {"ref": "kumarshrid/beatsperminute-xgboost-optuna-eda", "kernel_id": "107033048"}, {"ref": "renanbragac/predicting-bpm-of-songs-randomforestregressor", "kernel_id": "110171891"}, {"ref": "nihalba/predicting-song-bpm-with-catboost-xgboost", "kernel_id": "114570038"}, {"ref": "evgendvorkin/stack-cv-26-4380", "kernel_id": "114660669"}, {"ref": "omeraydin1/beat-per-min-regression", "kernel_id": "115276452"}, {"ref": "tugcebasyigit/predicting-the-beats-per-minute-of-songs", "kernel_id": "116231611"}, {"ref": "dimamshirokov/beats-per-minute-eda-xgboost", "kernel_id": "116341924"}, {"ref": "lucalullo/predicting-the-beats-per-minute-of-songs", "kernel_id": "128004658"}, {"ref": "zqx960151285/predicting-the-beats-per-minute-of-songs", "kernel_id": "129379098"}, {"ref": "adityasiraskar2004/regression-pipeline", "kernel_id": "134279645"}]}
{"competition_id": "91721", "kernels": [{"ref": "ismailmoussaoui/notebook7e56a58e2c", "kernel_id": "82507592"}, {"ref": "johnkihoro/diabetes-eda-neuralnet-diagnosis-prediction", "kernel_id": "87452405"}, {"ref": "antonoof/beginners-eda-model", "kernel_id": "92352387"}, {"ref": "shrutisaxena/road-accident-eda-and-prediction", "kernel_id": "93606745"}, {"ref": "skovalenko/road-accident-risk-eda-catboost", "kernel_id": "93912516"}, {"ref": "lunthu/road-accident-risk-predictions", "kernel_id": "93611484"}, {"ref": "lucabasa/s05e10-accident-risk", "kernel_id": "93562970"}, {"ref": "docxian/ps-s5-e010-road-accident-risk-eda-automl", "kernel_id": "93615682"}, {"ref": "qwerty29544/baslinemodel-eda-classicml-pytorch", "kernel_id": "93947071"}, {"ref": "makrrc/predicting-road-accident-risk-predict-v7", "kernel_id": "93688555"}, {"ref": "makrrc/0-05590-v10-predicting-road-accident-risk-ipynb", "kernel_id": "93549195"}, {"ref": "arurama/predicting-road-accident-risk-points", "kernel_id": "93929553"}, {"ref": "stpeteishii/rar-autogluon-w-customized-model-new-feat", "kernel_id": "93692351"}, {"ref": "stpeteishii/rar-lgbm-w-new-features", "kernel_id": "93577703"}, {"ref": "ahsuna123/eda-lightgbm-cb-ensemble", "kernel_id": "93570253"}, {"ref": "mpwolke/hit-the-road-kagglers", "kernel_id": "93540585"}, {"ref": "kumarkatariya/predicting-road-accident-risk-cv-0-05647-oof", "kernel_id": "93671908"}, {"ref": "wguesdon/ps5e10-ensemble-tabml", "kernel_id": "93602349"}, {"ref": "wguesdon/ps5e10-eda-tabml", "kernel_id": "93577214"}, {"ref": "catadanna/optuna-with-lightgbm-starter", "kernel_id": "93676417"}, {"ref": "pinoystat/baseline-with-eda-insights", "kernel_id": "93553312"}, {"ref": "jeanpooljinezsorroza/predicting-road-accident-risk-competition-part1", "kernel_id": "93558129"}, {"ref": "jeanpooljinezsorroza/predicting-road-accident-risk-competitio-part2", "kernel_id": "93747088"}, {"ref": "lonnieqin/s5e10-cnn-dnn", "kernel_id": "93592706"}, {"ref": "lonnieqin/s5e10-with-pytorch-hybrid-cnn-dnn-model", "kernel_id": "93720180"}, {"ref": "negoto/s5e10-peeking-inside-a-lightgbm-regressor", "kernel_id": "93934243"}, {"ref": "joechapa/predicting-road-accident-risk-playground-series", "kernel_id": "93633909"}, {"ref": "jerzyszocik/kaggle-playground-s5e10-eda-and-models", "kernel_id": "93620677"}, {"ref": "spacesurfer/ps-s5e10-eda", "kernel_id": "93725523"}, {"ref": "abdulkadirsyahab/swag-s5e10", "kernel_id": "93545281"}, {"ref": "javidmohammadi/accident-risk-lightgbm-dslanders", "kernel_id": "93820448"}, {"ref": "jimgruman/dandelion-wine", "kernel_id": "93862999"}, {"ref": "stutisharma22/predicting-road-accident-risk", "kernel_id": "93858084"}, {"ref": "casati8/kaggle-s5e10-fastai", "kernel_id": "93815581"}, {"ref": "sriram00777/xgboost-with-optuna-eda", "kernel_id": "93576457"}, {"ref": "abdelrhmanelhelaly/road-accident-riski", "kernel_id": "93718571"}, {"ref": "mbasharatasghar/road-accident-risk-prediction", "kernel_id": "93598934"}, {"ref": "barbagrande007/bbg007-accidents-lgbm-optuna", "kernel_id": "93572195"}, {"ref": "satyaprakashshukl/predicting-road-accident-risk", "kernel_id": "93812811"}, {"ref": "alan1305/pgs5e10-no-model-baseline", "kernel_id": "93545721"}, {"ref": "ravi20076/playgrounds5e10-public-imports-v1", "kernel_id": "93564575"}, {"ref": "ravi20076/playgrounds5e10-public-baseline-v1", "kernel_id": "93565041"}, {"ref": "anwarabualhussien/full-eda-understanding-the-data", "kernel_id": "93569879"}, {"ref": "ehsanesmaeili/road-accident-risk-xbg-lgb-cat", "kernel_id": "93834549"}, {"ref": "lucifierx/accident-competition-starter", "kernel_id": "93590834"}, {"ref": "saibalpatra/road-accident-base-models", "kernel_id": "93686333"}, {"ref": "thuandao/road-accidents-risk-prediction-eda-ml", "kernel_id": "93588148"}, {"ref": "codingmaster24/road-safety-accident-risk", "kernel_id": "93882196"}, {"ref": "codingmaster24/accident-risk-prediction", "kernel_id": "93879586"}, {"ref": "rv1922/xgboost-roadrisk-accident-prediction-rmse", "kernel_id": "93558562"}, {"ref": "rv1922/predict-road-accident-using-stacking", "kernel_id": "93875491"}, {"ref": "anamikakumari456/predicting-road-accident-risk", "kernel_id": "93763560"}, {"ref": "rohanrathod02/road-accident-risk-ensemble", "kernel_id": "93585966"}, {"ref": "m4rcuseryx/drivewise-accident-risk-modeling", "kernel_id": "93569002"}, {"ref": "anotherbadcode/cudf-xgboost-road-accident-risk", "kernel_id": "93826427"}, {"ref": "rohansardar/s5e10-road-accident-risk-rf-xgb-lgbm-catb", "kernel_id": "93553634"}, {"ref": "kethansaikoneru/road-accident-prediction-version-1", "kernel_id": "93890344"}, {"ref": "mariusborel/predicting-road-accident-risk", "kernel_id": "93555017"}, {"ref": "gkanamoto/s5e10-ensemble", "kernel_id": "93814674"}, {"ref": "taylorsamarel/road-accident-risk-full-eda-model-ensemble", "kernel_id": "93545797"}, {"ref": "taylorsamarel/optimization-architecture", "kernel_id": "93546700"}, {"ref": "viktortaran/ps-s-5-e-10-accident-regression", "kernel_id": "93541244"}, {"ref": "khoatran311/elasticnet-model-analysis", "kernel_id": "93614114"}, {"ref": "kumarkanishksingh/predicting-road-accident-risk", "kernel_id": "93879900"}, {"ref": "santyagoamaya/road-accident-linear-regression", "kernel_id": "93564428"}, {"ref": "masayakawamata/s5e10-ag-base", "kernel_id": "93542083"}, {"ref": "masayakawamata/s5e10-xgb-baseline", "kernel_id": "93542362"}, {"ref": "masayakawamata/s5e10-xgb-origcol-20seeds", "kernel_id": "93544322"}, {"ref": "masayakawamata/s5e10-tabm-origcol", "kernel_id": "93547850"}, {"ref": "masayakawamata/s5e10-lgbm-origcol-20seeds", "kernel_id": "93546107"}, {"ref": "masayakawamata/s5e10-realmlp-origcol", "kernel_id": "93791441"}, {"ref": "harharharhar/s05e10-accident-ensemble", "kernel_id": "93580954"}, {"ref": "dylanmoraes/accident-prediction", "kernel_id": "93672196"}, {"ref": "francescoliveras/ps-s5-e10-eda-model-en-es", "kernel_id": "93818767"}, {"ref": "pranjali1121/predicting-road-accidents", "kernel_id": "93748838"}, {"ref": "mrarray22/road-accident-risk", "kernel_id": "93807903"}, {"ref": "sm895422/predicting-road-accident-risk-24", "kernel_id": "93666330"}, {"ref": "htr1172/predictingroadaccidentrisk-neuralnetworkapproach", "kernel_id": "93711370"}, {"ref": "surenvayradyan/score-0-55-eda-kfold", "kernel_id": "93578598"}, {"ref": "yogeshbawankar/ps-s5e10-hierarchical-ensemble", "kernel_id": "93925478"}, {"ref": "vishnupriyagarige/predicting-road-accident-risk", "kernel_id": "93626043"}, {"ref": "abeshith/accidents-happen-but-we-can-predict-avoid-them", "kernel_id": "93546223"}, {"ref": "meghna7040/road-accident-eda", "kernel_id": "93739232"}, {"ref": "darkdevil18/0-05567-road-accident-risk-prediction-no-fe", "kernel_id": "93634687"}, {"ref": "matejkamenicky/road-accident-risk-lightgbm", "kernel_id": "93952248"}, {"ref": "vivek7557/predict-accident-risk-analysis-and-ml", "kernel_id": "93571812"}, {"ref": "robertpatchin/s5e10-reckless-driving-joint-challenge", "kernel_id": "93545589"}, {"ref": "amri11/road-accident-risk", "kernel_id": "93554919"}, {"ref": "mubashirulhassan00/road-accident", "kernel_id": "93681383"}, {"ref": "introverstein/s5e10-understanding-the-data-baseline-models", "kernel_id": "93961953"}, {"ref": "devkumarbiswas/predicting-road-accident-risk-dev", "kernel_id": "93621224"}, {"ref": "denvermagtibay/predicting-road-accident-risk-top-baseline", "kernel_id": "93822041"}, {"ref": "mikhailnaumov/road-accident-risk-ensemble", "kernel_id": "93562173"}, {"ref": "akhilpm1996/predicting-road-accident-risk", "kernel_id": "93180181"}, {"ref": "sanjaybora143/roadaccidentrisk-different-models", "kernel_id": "93549571"}, {"ref": "sudhanshu3112/predicting-road-safety-detailed-eda-ml", "kernel_id": "93559897"}, {"ref": "sufya6/road-accident-risk-prediction-simple-lightgbm", "kernel_id": "93905786"}, {"ref": "anthonytherrien/road-accident-risk-trainer", "kernel_id": "93587727"}, {"ref": "anthonytherrien/road-accident-risk-blend", "kernel_id": "93802144"}, {"ref": "adeylol/accident-risk-prediction-lgb-cat-xgb", "kernel_id": "93717733"}, {"ref": "abdmental01/ps5e10-xgb-baseline", "kernel_id": "93564769"}, {"ref": "mohameddrabo/predicting-road-accident-risk", "kernel_id": "93574466"}, {"ref": "naivedatamodel/predicting-road-accident", "kernel_id": "93814582"}, {"ref": "ankitsharma224589/predicting-road-accident-risk-notebook", "kernel_id": "93667278"}, {"ref": "sadettinamilverdil/165-kg-x-5-squat-pr", "kernel_id": "93605196"}, {"ref": "princekhunt19/road-accident-risk-prediction-model-eda", "kernel_id": "93598315"}, {"ref": "shubhamveer/auto-encoders-based-nn-simple", "kernel_id": "93606313"}, {"ref": "shubhamveer/autoencoders-with-ga-based-modelling", "kernel_id": "93583503"}, {"ref": "shubhamveer/predicting-the-accident-risk", "kernel_id": "93564405"}, {"ref": "iamnotindangerskyler/ps5e10-eda-lgb-xgb-cb-ensemble-pipeline", "kernel_id": "93566990"}, {"ref": "thererealareyou/kagglecompetition-roadaccidentrisk", "kernel_id": "93595873"}, {"ref": "koushikkumardinda/predicting-road-accident-risk", "kernel_id": "93556188"}, {"ref": "arnavsuiiiiiiiiiiii/roads-arent-safe", "kernel_id": "93564802"}, {"ref": "ultimatemagic79/ps5e10-rocket-start-eda-basemodel", "kernel_id": "93589946"}, {"ref": "kienngx/road-accident-lgbm-catboost-xgb-kfold-randomsearch", "kernel_id": "93662140"}, {"ref": "abdulahadshaik/predicting-road-accident-risk-2-lgbm-cat", "kernel_id": "93611439"}, {"ref": "abdulahadshaik/predicting-road-accident-risk-7", "kernel_id": "93883947"}, {"ref": "cartoonistbeard/ps5e10-baseline-eda", "kernel_id": "93815317"}, {"ref": "cartoonistbeard/ps5e10-h20-automl-starter-lb-0-5558", "kernel_id": "93987321"}, {"ref": "amjadzhour/predicting-road-accident-risk-cat-and-xgb", "kernel_id": "93541611"}, {"ref": "samarpanrai/road-accident-risk-prediction-ensemble", "kernel_id": "93543019"}, {"ref": "aaravdc/road-accident-ann-prediction", "kernel_id": "93654263"}, {"ref": "aliffaagnur/road-accident-risk-autogluon", "kernel_id": "93776022"}, {"ref": "zafarali27/road-accident-risk", "kernel_id": "93832811"}, {"ref": "arunkumaroraon/accident-risk-prediction-lgbm-fe", "kernel_id": "93989711"}, {"ref": "arunkumaroraon/eda-notebook-accident-risk-prediction", "kernel_id": "93987124"}, {"ref": "xixama/road-accident-predictor-s5e10", "kernel_id": "93808889"}, {"ref": "koshisaito/clustering-for-accident-risk-analysis-ps5e10", "kernel_id": "93673587"}, {"ref": "koshisaito/rulebased-risk-prediction", "kernel_id": "93588051"}, {"ref": "yashsahu02/predicting-road-accident-risk-s5e10", "kernel_id": "93608361"}, {"ref": "hassanmehmood413/kaggle-s5e9-tempo-bpm-eda-lr-knn-tree", "kernel_id": "93754325"}, {"ref": "taphere/predicting-road-accident-risk", "kernel_id": "93563614"}, {"ref": "anuragyadav156/road-accident-risk", "kernel_id": "93899705"}, {"ref": "adilshamim8/predicting-road-accident-risk-101", "kernel_id": "93549306"}, {"ref": "moridata/score-0-05553-predicting-road-accident-risk-eda", "kernel_id": "93663156"}, {"ref": "ahmedbaalash/accident-risk-estimation-with-lightgbm", "kernel_id": "93754527"}, {"ref": "wafaaalayoubi/deep-dive-eda", "kernel_id": "93565698"}, {"ref": "wafaaalayoubi/lightgbm-regressor-rmse-0-05651", "kernel_id": "93897119"}, {"ref": "wafaaalayoubi/lightgbm-vs-xgboost-vs-random-forest", "kernel_id": "93902590"}, {"ref": "wafaaalayoubi/feature-engineering-lightgbm", "kernel_id": "93996166"}, {"ref": "rattans/road-accident-risk", "kernel_id": "93803968"}, {"ref": "yashdev01/predicting-road-accident-risk", "kernel_id": "93561362"}, {"ref": "sameerhandsome1234/accident", "kernel_id": "93581393"}, {"ref": "i0nlyaziz/road-accident-risk-prediction-xgb", "kernel_id": "93621895"}, {"ref": "amritanshukush/predicting-accident-risk-s5e10-ensemble", "kernel_id": "93883294"}, {"ref": "amritanshukush/road-accident-risk-catboost-s5e10", "kernel_id": "93798909"}, {"ref": "christiangale/predict-road-accident-risk-s05e10-optuna", "kernel_id": "93777679"}, {"ref": "skarin/s5e10-road-accident-risk-lgbm-optuna-cv", "kernel_id": "93891926"}, {"ref": "mdevian/stacking-bagging-model-road-accident-risk", "kernel_id": "93805239"}, {"ref": "sjain600/linear-regression-with-key-observations", "kernel_id": "93696099"}, {"ref": "moustafamo/road-accident-risk-eda-model", "kernel_id": "93586274"}, {"ref": "maityritwik/eda-with-baseline-0-059", "kernel_id": "93696988"}, {"ref": "alaamohsalahmotawe/accident-risk-with-xgboost", "kernel_id": "93957032"}, {"ref": "andyhsu1997/playground-series-season-5-episode-10", "kernel_id": "93790394"}, {"ref": "olaflundstrom/predicting-road-accident-risk-s5e10-aist-lab", "kernel_id": "93795680"}, {"ref": "olaflundstrom/notebooka1616eec02", "kernel_id": "93648152"}, {"ref": "olaflundstrom/kaggle-notebook-predicting-road-accident-risk", "kernel_id": "93729078"}, {"ref": "olaflundstrom/predicting-road-accident-risk-v2-0", "kernel_id": "93547688"}, {"ref": "olaflundstrom/kaggle-playground-series-s5e10-aist-lab", "kernel_id": "93557794"}, {"ref": "olaflundstrom/notebook5f4a49a45b", "kernel_id": "93933043"}, {"ref": "shivams811/road-accident-risk-ps5e10-0-05582-xgb-cat", "kernel_id": "93802971"}, {"ref": "johnkihoro/road-accidents-predictions", "kernel_id": "93799229"}, {"ref": "mdnaimislam165436/predicting-road-accident-risk", "kernel_id": "93676409"}, {"ref": "ruslankudaibegenov/car-accident-competition-xgboost-0-05563-score", "kernel_id": "93603994"}, {"ref": "ryqn00/predicting-road-accident", "kernel_id": "93584920"}, {"ref": "ryqn00/s5e10-autogluon", "kernel_id": "93958105"}, {"ref": "khai42/eda-for-with-target-column", "kernel_id": "93562601"}, {"ref": "khai42/nn-lgb-blend-scored-0-05565", "kernel_id": "93592893"}, {"ref": "ianteigen/road-accident-risk-full-eda", "kernel_id": "93540856"}, {"ref": "mdferozahmedafm/exploratory-data-analysis-on-road-accident-risk", "kernel_id": "93685800"}, {"ref": "poushal02/road-accident", "kernel_id": "93909820"}, {"ref": "marikof/eda-predicting-road-accident-risk", "kernel_id": "93592563"}, {"ref": "waelhasan111/prediction-road-accident", "kernel_id": "93578762"}, {"ref": "analyticaobscura/ps5e10-accident-risk-eda-and-modeling", "kernel_id": "93585558"}, {"ref": "emircansoftware/tutorial-compare-models-basic-eda-kfold", "kernel_id": "93589325"}, {"ref": "princevegeta515/road-accident-risk-complete-eda", "kernel_id": "93561331"}, {"ref": "nina2025/ps-s5e10-h-blend-first-glance", "kernel_id": "93545497"}, {"ref": "junyueli/predicting-road-accident-risk-project", "kernel_id": "93827420"}, {"ref": "murtazaabdullah2010/road-accident", "kernel_id": "93575935"}, {"ref": "riddhimaiti/road-acident-prediction-with-eda", "kernel_id": "93886030"}, {"ref": "teudepdzai/love-u-tho", "kernel_id": "93822511"}, {"ref": "justcode1/accident-risk", "kernel_id": "93562718"}, {"ref": "pythoxb/accident-risk-competition", "kernel_id": "93606431"}, {"ref": "danialjafariii/road-accident-risk-xgboost-randomforest", "kernel_id": "93948590"}, {"ref": "hermitsays/lightgbm-88-6-risk-accuracy", "kernel_id": "93669308"}, {"ref": "stephentarter/road-accident-risk-prediction-s5e10", "kernel_id": "93831856"}, {"ref": "hmnshudhmn24/predicting-road-accident-risk", "kernel_id": "93556200"}, {"ref": "akashy8004/road-accident-prediction", "kernel_id": "93928264"}, {"ref": "ufukckose/s5e10-eda-baseline", "kernel_id": "93540544"}, {"ref": "ufukckose/feature-engineering-ensemble", "kernel_id": "93614878"}, {"ref": "benjaminlundkvist/simple-starter-road-accident-risk-with-lightgbm", "kernel_id": "93675375"}, {"ref": "benjaminlundkvist/lightgbm-starter-road-accident-risk", "kernel_id": "93693836"}, {"ref": "karol05/road-accident-risk-1", "kernel_id": "93610772"}, {"ref": "nomannic19/road-acc-sap-contexttab-xgboost-gcp-automl", "kernel_id": "93743634"}, {"ref": "paharpurailab/road-accident-prediction-paharpurailab", "kernel_id": "93849141"}, {"ref": "timmyle2007/xgboost-optuna-target-encoding", "kernel_id": "93876825"}, {"ref": "swapanroy/predicting-accidents-using-randomforest-regressor", "kernel_id": "94656086"}, {"ref": "cv13j0/a-minimalist-aproach", "kernel_id": "94069478"}, {"ref": "abisheksrivastav/xgboost", "kernel_id": "94528046"}, {"ref": "raeventkaul/beginners-guide-to-hitchhiking-eda-newfeatures", "kernel_id": "94664806"}, {"ref": "tobiit/roadaccidentrisk-dataanalysis-forbeginners", "kernel_id": "94003118"}, {"ref": "mbrosseau/road-accident-risk-autogluon-simple-offline", "kernel_id": "94047169"}, {"ref": "cdeotte/xgb-boosting-over-residuals-cv-0-05595", "kernel_id": "94150688"}, {"ref": "obiaf88/deeplearning-keras-baseline-s5e10", "kernel_id": "94026395"}, {"ref": "inavyatatikonda/0-05636-accident-risk-prediction-regression", "kernel_id": "94904606"}, {"ref": "stpeteishii/rar-per-sample-ensemble", "kernel_id": "94086550"}, {"ref": "stpeteishii/rar-dynamic-weighting-ensemble", "kernel_id": "94084522"}, {"ref": "stpeteishii/rar-ridge-stacking-ensemble", "kernel_id": "94083180"}, {"ref": "stpeteishii/rar-ensemble-simple-weighted-average", "kernel_id": "94081032"}, {"ref": "stpeteishii/rar-correlation-based-ensemble", "kernel_id": "94089556"}, {"ref": "stpeteishii/rar-catb-w-kfold-newfeatures", "kernel_id": "94078832"}, {"ref": "stpeteishii/rar-lgbm-w-kfold-newfeatures", "kernel_id": "94079808"}, {"ref": "stpeteishii/rar-xgb-w-kfold-newfeatures", "kernel_id": "94080149"}, {"ref": "ted0071/road-accident-risk-pytorch-lightning", "kernel_id": "94278999"}, {"ref": "kumarkatariya/xgboost-fe-te", "kernel_id": "94590816"}, {"ref": "gurseeon/ka-tabm-optuna", "kernel_id": "94838077"}, {"ref": "steven556610/accident", "kernel_id": "94771993"}, {"ref": "mohammedshammeer/predicting-accident-risk-pipeline", "kernel_id": "94442964"}, {"ref": "kiransr21/road-accident-prediction", "kernel_id": "94130771"}, {"ref": "yeonseokcho/predicting-road-accident-risk-xlc-ensemble", "kernel_id": "94332198"}, {"ref": "jeanpooljinezsorroza/predicting-road-accident-risk-competitio-part-3", "kernel_id": "94144311"}, {"ref": "lauraalonso/road-accident-risk-xgboost", "kernel_id": "94032580"}, {"ref": "swas06/predictaccident-eda", "kernel_id": "94483339"}, {"ref": "tracyporter/play-5-10-catboost-reg", "kernel_id": "94225125"}, {"ref": "niteshranjansingh/road-accident-pred-with-multiple-linear-regression", "kernel_id": "94905433"}, {"ref": "sspan0019/s5e10-xgbregressor-optuna", "kernel_id": "94537641"}, {"ref": "sspan0019/s5e10-predicting-road-accidents-simple-nn", "kernel_id": "94308602"}, {"ref": "aroraaakansha/predicting-the-accident", "kernel_id": "94009528"}, {"ref": "samithsachidanandan/predicting-road-accident-risk-stacking-vs-ensembe", "kernel_id": "94688305"}, {"ref": "samithsachidanandan/predicting-road-accident-risk-i-rf", "kernel_id": "94995709"}, {"ref": "ashamsadini/predicting-accident-lgbm-xgb-catboost-eda", "kernel_id": "94009717"}, {"ref": "jocelyndumlao/accident-risk-prediction-xgboost", "kernel_id": "94359475"}, {"ref": "artempanush/s5e10-road-accident-risk-dilemma", "kernel_id": "94039120"}, {"ref": "leonchani/01-only-eda-predicting-road-accident-risk", "kernel_id": "94893921"}, {"ref": "christoforum/lgbm-xgb-catb-by-optuna-ensemble", "kernel_id": "94377596"}, {"ref": "batuhankalem/math-482-dev3", "kernel_id": "94694876"}, {"ref": "balajivaraprasad/ps-s05e10-lr-xgb-lgbm-ens", "kernel_id": "94113140"}, {"ref": "lvjianlvj/xgboost-0-05561", "kernel_id": "94686597"}, {"ref": "andreal314159/predicting-road-accidents", "kernel_id": "94004436"}, {"ref": "anwarabualhussien/lightgb-rmse-0-05626-road-risk-prediction", "kernel_id": "94241915"}, {"ref": "klyushnik/s5-e10-let-s-some-blend-0-05554", "kernel_id": "94283901"}, {"ref": "shahriarparvezshaon/predicting-road-accident-risk", "kernel_id": "94340574"}, {"ref": "codingmaster24/accident-risk-heuristic-predection", "kernel_id": "94633965"}, {"ref": "codingmaster24/accident-risk-cpu-pipeline", "kernel_id": "94033848"}, {"ref": "codingmaster24/accident-risk-tree-model", "kernel_id": "94127593"}, {"ref": "uuratl/i-crush-my-car-into-a-bridge-ensemble-cat-lgb-pipe", "kernel_id": "94238279"}, {"ref": "rv1922/accident-risk-prediction-using-autogluon", "kernel_id": "94723616"}, {"ref": "rohansardar/s5e10-road-accident-risk-prediction-xgboost", "kernel_id": "94091927"}, {"ref": "kethansaikoneru/notebook73969a5875-road-accident-pred-version-1", "kernel_id": "94255198"}, {"ref": "kethansaikoneru/road-accident-risk-analysis", "kernel_id": "94344053"}, {"ref": "masayakawamata/s5e10-tabm-over-residuals", "kernel_id": "94187977"}, {"ref": "masayakawamata/s5e10-nn-stacking-baseline", "kernel_id": "94232982"}, {"ref": "masayakawamata/s5e10-how-to-improve-your-cv-score", "kernel_id": "94259397"}, {"ref": "masayakawamata/s5e10-single-tabm-tuned", "kernel_id": "94099632"}, {"ref": "masayakawamata/s5e10-realmlp-tuned", "kernel_id": "94422910"}, {"ref": "a3amat02/s5e10-road-accident-risk-eda-and-regression", "kernel_id": "94753349"}, {"ref": "minduthilakna/road-accident-risk-randomizedsearchcv", "kernel_id": "94098915"}, {"ref": "ceecreative/predicting-road-accident-risk", "kernel_id": "94933881"}, {"ref": "vh10935cse20/accidental-risk-catboost-lgbm-ensemble", "kernel_id": "94374718"}, {"ref": "vh10935cse20/accidental-risk-catboost-xgb-ensemble", "kernel_id": "94617997"}, {"ref": "amirseyyedi/predicting-road-accident-risk", "kernel_id": "94603584"}, {"ref": "waquarahmed1/car-accident-lightgbm-catboost", "kernel_id": "94294104"}, {"ref": "mhmdallam/predicting-road-accidents-risk-0-05562", "kernel_id": "94301669"}, {"ref": "yunsuxiaozi/pss5e10-single-tabm-cv-0-055918", "kernel_id": "94663713"}, {"ref": "kazoric/eda-predicting-road-accident-risk", "kernel_id": "94597523"}, {"ref": "itasps/mse-0-0032-r2-score-0-88-pss5e10-knn-model", "kernel_id": "94763424"}, {"ref": "zulaikhaafzal/road-accident-presiction", "kernel_id": "94469554"}, {"ref": "oran11/road-accident-risk", "kernel_id": "94753668"}, {"ref": "sukhmansaran/xgboost-grey-wolf-optimization-optuna", "kernel_id": "94829211"}, {"ref": "francescoalbanesephd/s5e10-road-accident-risk-a-3-model-ensemble-v1", "kernel_id": "94798008"}, {"ref": "kartikgs/playground-s5e10-accidents", "kernel_id": "94115003"}, {"ref": "viviansam/predicting-road-accident-risk", "kernel_id": "94101156"}, {"ref": "akramf/competition-predicting-road-accident-risk", "kernel_id": "94149098"}, {"ref": "chiranjeevimchiru/s5e10-road-accident", "kernel_id": "94897180"}, {"ref": "ouzhanakr/ps-s5e10-roadaccidentrisk-xgboost-optuna-pipeline", "kernel_id": "94273645"}, {"ref": "fredericnicholson/all-over-the-road-pytorch", "kernel_id": "94513584"}, {"ref": "shadesh/eda-visualization-ensemble-modeling", "kernel_id": "94879196"}, {"ref": "shadesh/eda-lightgbm-baseline", "kernel_id": "94792769"}, {"ref": "younusmohamed/69-01-models-benchmark-predicting-road-accidents", "kernel_id": "94712586"}, {"ref": "younusmohamed/69-00-complete-eda-predicting-road-accident", "kernel_id": "94516737"}, {"ref": "younusmohamed/69-02-preprocessing-road-accident-prediction", "kernel_id": "94941474"}, {"ref": "wassimtahir/hybrid-dl-gbm-architecture-for-road-safety", "kernel_id": "94739817"}, {"ref": "wassimtahir/advanced-eda-and-multi-model-lightgbm-approach", "kernel_id": "94519272"}, {"ref": "wassimtahir/the-power-of-intelligent-model-stacking-in-ml", "kernel_id": "94910573"}, {"ref": "nicoletacilibiu/ps5e10-predicting-road-accident", "kernel_id": "94107175"}, {"ref": "vigneshwar472/gemma-3n-e4b-it-unsloth-bnb-4bit-inference", "kernel_id": "94795332"}, {"ref": "haoqiangzheng/road-accident-ridge", "kernel_id": "94431661"}, {"ref": "igliszs/eda-visual-fe-lgb-accident-risk-prediction", "kernel_id": "94502157"}, {"ref": "igliszs/fast-and-easy-lgb", "kernel_id": "94627633"}, {"ref": "danuherath/predicting-road-accident-risk-regression", "kernel_id": "94667340"}, {"ref": "aryasatyagalen/lgbm-xgboost-with-kfold", "kernel_id": "94202784"}, {"ref": "mikhailnaumov/road-risk-single-ydf", "kernel_id": "94741288"}, {"ref": "yahh0402/accident-risk-prediction", "kernel_id": "94675334"}, {"ref": "kingkcabir/road-accident-risk-v2", "kernel_id": "94593197"}, {"ref": "kingkcabir/road-accident-risk-v1", "kernel_id": "94015174"}, {"ref": "rkmaurya93/road-accident-risk", "kernel_id": "94585419"}, {"ref": "anthonytherrien/s5e10-nn-stacking", "kernel_id": "94508701"}, {"ref": "anthonytherrien/ps-s5e10-lightgbm-cb-ensemble", "kernel_id": "94943103"}, {"ref": "alibakirx/accident-risk-prediction", "kernel_id": "94533025"}, {"ref": "rejk11/input-gate-predicting-road-accident-risk", "kernel_id": "94833105"}, {"ref": "rejk11/pytorch-dnn-predicting-road-accident-risk", "kernel_id": "94444473"}, {"ref": "ankitsharma224589/lgb-xgb-weighted-ensemble", "kernel_id": "94340561"}, {"ref": "ankitsharma224589/road-accident-risk-advanced-stacking-optuna", "kernel_id": "94954599"}, {"ref": "lakhindarpal/predicting-road-accident-risk", "kernel_id": "94978878"}, {"ref": "sakhawathossen/road-accident-risk-eda-90", "kernel_id": "94393734"}, {"ref": "keshavchauhan56/road-accident-risk-prediction-eda-model-xgb", "kernel_id": "94108125"}, {"ref": "kirikiti/extratrees-dbscan-s5e10", "kernel_id": "94107201"}, {"ref": "triekgl/road-accident-risk-xgboost", "kernel_id": "94122847"}, {"ref": "kusujal23/sujal-road", "kernel_id": "94878700"}, {"ref": "aliguinga5/random-forest", "kernel_id": "94308986"}, {"ref": "aryanthakur7/roadacc-deidara", "kernel_id": "94518177"}, {"ref": "saraaaaaaaaaaaaaaaa/predicting-road-accident-risk-playground-series", "kernel_id": "94151283"}, {"ref": "namanagarwalok/bert-xgb-with-optuna", "kernel_id": "94092003"}, {"ref": "prathameshpatil2025/s5e10-score-0-0555", "kernel_id": "94109686"}, {"ref": "ammanrizwan/predicting-road-accident-risk", "kernel_id": "94487666"}, {"ref": "nazmussakibapurba/predicting-road-accident-risk", "kernel_id": "94815553"}, {"ref": "vktsyp/keras-dnn-road-accident-risk", "kernel_id": "94377910"}, {"ref": "aliffaagnur/road-accident-risk-autogluon-experimental", "kernel_id": "94522693"}, {"ref": "aliffaagnur/accident-prediction-stacking-model", "kernel_id": "94494901"}, {"ref": "rishipri/predicting-road-accident-risk", "kernel_id": "94009091"}, {"ref": "mridul990601/accident-risk-prediction-hstacking-0-0555", "kernel_id": "94348951"}, {"ref": "harrykesh/lb-0-0552-i-was-a-fool-to-train-10-xgboosts", "kernel_id": "94027727"}, {"ref": "risheepanchal/s5-e10-optimized-xgboost-lgbm", "kernel_id": "94618307"}, {"ref": "nailaluqyana/predicting-road-accident-risk", "kernel_id": "94244261"}, {"ref": "anuragyadav156/road-accident-risk-eda-model-lightgbm", "kernel_id": "94473373"}, {"ref": "bandito20/road-torch", "kernel_id": "94646825"}, {"ref": "bandito20/xgboost-hyperopt", "kernel_id": "94837186"}, {"ref": "minervahuang/road-risk", "kernel_id": "94587359"}, {"ref": "vaibhavbarala26/notebook44c242e628", "kernel_id": "94493633"}, {"ref": "yigk4out/feature-interaction-predictor", "kernel_id": "94789746"}, {"ref": "abdelrahmanabdelalem/road-accident-risk-0-05566-rmse", "kernel_id": "94501300"}, {"ref": "rohanvidhate/beginner-friendly-10-min-0-05560", "kernel_id": "94835128"}, {"ref": "ruhul20/accident-risk-eda-and-lgbmregressor", "kernel_id": "94498144"}, {"ref": "youssef019/predicting-road-accident-risk-nootebook", "kernel_id": "94700923"}, {"ref": "ayushvishwakarma14/road-accident-eda-and-prediction", "kernel_id": "94370366"}, {"ref": "wafaaalayoubi/tuning-lightgbm-with-optuna-gpu", "kernel_id": "94012320"}, {"ref": "harshalpatil3558/road-accident-risk-advanced-regression", "kernel_id": "94743154"}, {"ref": "yashdev01/predicting-road-accident-risk-2", "kernel_id": "94213804"}, {"ref": "sanjidh090/ps5e10-better-data-is-all-you-need", "kernel_id": "94387083"}, {"ref": "mahoganybuttstrings/pg-s5e10-realmlp-cv-0-055936-lb-0-05549", "kernel_id": "94440711"}, {"ref": "sarazahran1/road-accident-risk-prediction", "kernel_id": "94945527"}, {"ref": "ocwerfrancis/predicting-road-accident-risk", "kernel_id": "94039898"}, {"ref": "jessewaite/accident-risk-xgboost-ohe-5-folds", "kernel_id": "94565534"}, {"ref": "camilochart/accident-risk-eda-with-gradient-color", "kernel_id": "94616661"}, {"ref": "nanda0110/pred-road-accident-risk", "kernel_id": "94262861"}, {"ref": "eldlabl0/xgboost-cv", "kernel_id": "94656285"}, {"ref": "lele25811/s05e1-predicting-road-accident-risk", "kernel_id": "94149411"}, {"ref": "jieuna1/predicton-road-accident-risk-lightgbm-fold-3", "kernel_id": "94120213"}, {"ref": "jaganpradhan0/accidentalanalysis", "kernel_id": "94135839"}, {"ref": "karanbhatia01/neuralnetworkcode-simplifiedversion", "kernel_id": "94051887"}, {"ref": "aneevinay/ps5e10-accident-risk", "kernel_id": "94216922"}, {"ref": "harshsharma2704/road-accident-prediction", "kernel_id": "94032042"}, {"ref": "chiragsharma1201/predicting-road-accident-risk", "kernel_id": "94693508"}, {"ref": "canozensoy/ps-s5e10-target-encoded-trees-isotonic-stacking", "kernel_id": "94224389"}, {"ref": "devanshshukla123/lgbm-for-regression", "kernel_id": "94012018"}, {"ref": "harshit12120/predicting-road-accident-risk-first", "kernel_id": "94597448"}, {"ref": "antonlubny/road-accidents", "kernel_id": "94775828"}, {"ref": "rohanpurohit0705/riskpredictornn", "kernel_id": "94453840"}, {"ref": "gauravparkhedkar/roadsol", "kernel_id": "94343184"}, {"ref": "khai42/fe-xgb-lgb-cat-score-0-05555", "kernel_id": "94560608"}, {"ref": "amirhosseinzandi/predicting-road-accident-risk-ensemble-model", "kernel_id": "94678812"}, {"ref": "metamodels/feature-rich-single-xgb-cv-0-05594", "kernel_id": "94735899"}, {"ref": "metamodels/single-simple-xgb-with-cv-0-05595", "kernel_id": "94284898"}, {"ref": "metamodels/bayesian-residual-lightgbm-cv-0-05595", "kernel_id": "94958593"}, {"ref": "pkhomkhai/dss-road-accident", "kernel_id": "94344339"}, {"ref": "shorfulalam/road-accident-risk-optuna-svm-rf-xgboost", "kernel_id": "94695632"}, {"ref": "dhavvaldamania/road-accident-prediction", "kernel_id": "94450578"}, {"ref": "kriti83/car-accidents-predictions", "kernel_id": "94445460"}, {"ref": "paramveerkaur/road-accident-risk-prediction", "kernel_id": "94106495"}, {"ref": "super213/eda-xgb-model-0-05569", "kernel_id": "94664930"}, {"ref": "isaacmenard/from-data-to-safety-predicting-road-accidents", "kernel_id": "94620655"}, {"ref": "atiyeziaei/road-accident-risk-prediction-super-ensemble", "kernel_id": "94940317"}, {"ref": "princevegeta515/multi-seed-lgbm-baseline-road-accident-risk", "kernel_id": "94404346"}, {"ref": "sigmamind/predicting-road-accident-risk", "kernel_id": "94784700"}, {"ref": "nina2025/ps-s5e10-h-blend-random-glance", "kernel_id": "94079380"}, {"ref": "nina2025/ps-s5e10-third-glance", "kernel_id": "94155175"}, {"ref": "nina2025/ps-s5e10-h-blend-second-glance", "kernel_id": "94382519"}, {"ref": "pranitgore/road-accident-risk-competition-lightgbm-cat", "kernel_id": "94397622"}, {"ref": "manavjoshi5085/road-accident-prediction", "kernel_id": "94729748"}, {"ref": "pythoxb/road-accident-risk-02", "kernel_id": "94348243"}, {"ref": "pythoxb/road-accident-risk-01", "kernel_id": "94107495"}, {"ref": "enumsujal/road-accident-risk", "kernel_id": "94161927"}, {"ref": "avineshprabhakaran/predicting-road-accident-risk", "kernel_id": "94083092"}, {"ref": "zorornoa/roadaccidentprediction", "kernel_id": "94602225"}, {"ref": "sumit12100012/base-stacking-using-boosting", "kernel_id": "94157916"}, {"ref": "ehsanzx/predicting-road-accident-risk-eda-model-xgb", "kernel_id": "94400943"}, {"ref": "aliesmailie/predicting-road-accident-risk-autogluon", "kernel_id": "94291713"}, {"ref": "mahdigholami1992/road-accident-risk", "kernel_id": "94746492"}, {"ref": "meihanzhao315/predict-road-risk", "kernel_id": "94345299"}, {"ref": "crimslack/7102025", "kernel_id": "94230676"}, {"ref": "borjadosunahernandez/kagglecompetition-s5e10-starter", "kernel_id": "94839896"}, {"ref": "alan4139/road-accident-kmean-lr", "kernel_id": "94768858"}, {"ref": "aminran/road-types-risk-rmse-0-05563", "kernel_id": "94027499"}, {"ref": "malihetadayoni/road-accident-risk-rmse-0-0563", "kernel_id": "94927633"}, {"ref": "yasminbreves/the-risk-of-accidents", "kernel_id": "94362418"}, {"ref": "muizah/accident-risk", "kernel_id": "94068955"}, {"ref": "awguhst/xgb-catb-lgbm-de-optimized-ensemble", "kernel_id": "94680870"}, {"ref": "awguhst/ps5e10-eda-xgboost-optuna", "kernel_id": "94442677"}, {"ref": "rekhsharathchandra/accident-risk-prediction", "kernel_id": "94282315"}, {"ref": "rekhsharathchandra/risk-pridiction", "kernel_id": "94131867"}, {"ref": "mmozroot/predicting-road-accident-risk-ensemble", "kernel_id": "94817287"}, {"ref": "abhishekvvv12/pandas2", "kernel_id": "94881078"}, {"ref": "jefersonso/predict-accident-risk", "kernel_id": "94950715"}, {"ref": "timmyle2007/fork-of-fork-of-notebook325ed23bbd", "kernel_id": "94121766"}, {"ref": "adrienthomas/predicting-road-accident-risk", "kernel_id": "94760738"}, {"ref": "xaionx/ps-s5e10-competition-vs-original-datasets", "kernel_id": "94237148"}, {"ref": "hideself/road-accident-risk", "kernel_id": "94607663"}, {"ref": "skovalenko/road-accident-risk-random-forest-without-cv", "kernel_id": "95250124"}, {"ref": "sany2k8/predicting-road-accident-risk", "kernel_id": "95062998"}, {"ref": "utsavsharma1990/accident-prediction-ensemble-catboost-xgboost-5cv", "kernel_id": "95870208"}, {"ref": "ryzhokhina/s5-e10-accidentrisk", "kernel_id": "95824167"}, {"ref": "alperr/road-accident-risk-prediction", "kernel_id": "95505236"}, {"ref": "hossam82/road-accident-risk", "kernel_id": "95829610"}, {"ref": "wesleyhuan/beginer-friendly-solution-season-5-episode-10", "kernel_id": "95039883"}, {"ref": "kumarkatariya/stacking-cv-0-05598", "kernel_id": "95103667"}, {"ref": "gurseeon/tabm-param1", "kernel_id": "95050281"}, {"ref": "kmmmvs/5-10-merging-lgbm-and-ydf", "kernel_id": "95034988"}, {"ref": "wordcards/ensemble-incuding-kneighbors-randomforest", "kernel_id": "95034165"}, {"ref": "aasirwaseer/lgbm-hpo-with-optuna", "kernel_id": "95866689"}, {"ref": "jeanpooljinezsorroza/road-acident-p4-score-0-05565", "kernel_id": "95776274"}, {"ref": "swas06/predictaccident-modelling", "kernel_id": "95132896"}, {"ref": "swas06/predictaccident-hyperparametertuning", "kernel_id": "95762266"}, {"ref": "santiaqool/2019205018-dev3", "kernel_id": "95403319"}, {"ref": "yeoyunsianggeremie/ps5e10-agentic-ai-solution", "kernel_id": "95018195"}, {"ref": "ayushranjan01/accident-prediction-linear-regression", "kernel_id": "95296244"}, {"ref": "ayushranjan01/accident-predictor-decisiontree", "kernel_id": "95344801"}, {"ref": "actuaryabhishekroy/playground-series-s5-e10-xg-boost", "kernel_id": "95817954"}, {"ref": "furioussavenger/road-risk-prediction-ensemble", "kernel_id": "95526655"}, {"ref": "loukaspritsas/road-accident-risk-prediction-with-hg-rf", "kernel_id": "95592670"}, {"ref": "saranshvashistha/road-accident-risk-submission", "kernel_id": "95536995"}, {"ref": "salahuddinahmedshuvo/playground-series-season-5-episode-10", "kernel_id": "95391795"}, {"ref": "palakash123/final-result-xgboost-predicting-road-accident-risk", "kernel_id": "95953774"}, {"ref": "hustlepy/5foldcv-road-acc", "kernel_id": "95507572"}, {"ref": "hustlepy/beginner-s-guide-road-accident-prediction-0-05556", "kernel_id": "95512408"}, {"ref": "vickysen/01-simple-road-accident", "kernel_id": "95020599"}, {"ref": "mdismielhossenabir/predicting-road-accident-risk", "kernel_id": "95652353"}, {"ref": "anjali2612/predict-road-accident", "kernel_id": "95227098"}, {"ref": "anwarabualhussien/full-eda-xgboost", "kernel_id": "95129805"}, {"ref": "itsyoursumit/xgb-boosting-over-residuals-cv-0-05595", "kernel_id": "95424152"}, {"ref": "sandeepgauti/predicting-road-accident-risk", "kernel_id": "95653460"}, {"ref": "rv1922/road-accident-prediction", "kernel_id": "95588823"}, {"ref": "vishnu0309/predicting-road-accident-risk", "kernel_id": "95608963"}, {"ref": "atefehamjadian/road-accident-risk-rmse-0-0559-atefeh-dslanders", "kernel_id": "95589204"}, {"ref": "kethansaikoneru/predicting-road-accident-using-lgb-xgb-cat", "kernel_id": "95005952"}, {"ref": "kethansaikoneru/predicting-road-accident-considering-the-weather", "kernel_id": "95008742"}, {"ref": "mariusborel/h2o-prediction-of-accident-risk", "kernel_id": "95745730"}, {"ref": "mariusborel/road-accident-risk-prediction", "kernel_id": "95087942"}, {"ref": "arunfernando/accident-risk-regression-model", "kernel_id": "95877832"}, {"ref": "tungnhitran/ps5e10-xgb-score-0-055", "kernel_id": "95481877"}, {"ref": "flaykaer/predicting-road-accident-risk-3-ver-top-500", "kernel_id": "95071868"}, {"ref": "masayakawamata/s5e10-linear-model", "kernel_id": "95136233"}, {"ref": "masayakawamata/s5e10-xgb-targetencoding-starter", "kernel_id": "95093110"}, {"ref": "masayakawamata/s5e10-tabm-resids-public-0-05539-private-0-05564", "kernel_id": "95111699"}, {"ref": "nickzhilsky/road-accident-risk-linear-polynomial-models", "kernel_id": "95049357"}, {"ref": "gambhirkumar/loan-wolf", "kernel_id": "95746138"}, {"ref": "miadul/road-accident-risk-prediction-using-regression-mod", "kernel_id": "95635054"}, {"ref": "chrisk321/s5e10-ridge-ensemble", "kernel_id": "95662304"}, {"ref": "sukkart/completion", "kernel_id": "95906651"}, {"ref": "astroalien/accident-pred-model", "kernel_id": "95064685"}, {"ref": "kanyapatwis/accident-risk-ensemble-gbr-xgb-lgb", "kernel_id": "95647529"}, {"ref": "nassimsaberinajafi/accident-risk", "kernel_id": "95361534"}, {"ref": "djsinning/chat6162b8f335", "kernel_id": "95431167"}, {"ref": "subarnasaikia/road-accident-risk-prediction", "kernel_id": "95523240"}, {"ref": "ayxn29/exp-data-analysis", "kernel_id": "95194192"}, {"ref": "youngsunjoung/predicting-road-accident-risk", "kernel_id": "95870970"}, {"ref": "mansirajput0003/predicting-road-accidents-risks", "kernel_id": "95884799"}, {"ref": "radhikakj/accident-risk-prediction", "kernel_id": "95152751"}, {"ref": "samiraalipour/roadaccidentriskprediction", "kernel_id": "95302185"}, {"ref": "moonfaced/predicting-road-accident-risk", "kernel_id": "95185042"}, {"ref": "younusmohamed/69-03-feature-engineering-road-accident", "kernel_id": "95283711"}, {"ref": "younusmohamed/69-04-hyperparameter-tuning-road-accident", "kernel_id": "95892158"}, {"ref": "yousefelshahat2/simple-xgboost-for-beginner", "kernel_id": "95283800"}, {"ref": "yousefelshahat2/simple-lightgbm-for-beginner", "kernel_id": "95292417"}, {"ref": "jeyaprathapp/accident-prediction-using-stacked-model", "kernel_id": "95464001"}, {"ref": "gugulothrajashekar/predicting-road-accident-risk-with-96-accuracy", "kernel_id": "95051704"}, {"ref": "dscleo/predicting-road-accident-risk", "kernel_id": "95937467"}, {"ref": "codehashira/accident-risk-prediction-using-lightgbm-catboost", "kernel_id": "95997589"}, {"ref": "kadentrigueiro/predicting-road-crashes-quickie", "kernel_id": "95845395"}, {"ref": "junaid512/predicting-road-accident-risk-submit-prediction", "kernel_id": "95578748"}, {"ref": "ankitsharma224589/road-accident-risk-hybrid-ensemble-adaptive", "kernel_id": "95374877"}, {"ref": "ankitsharma224589/top-5-solution-adversarial-pseudo-stacking", "kernel_id": "95659352"}, {"ref": "nguyenminhquanhcmus/accident-risk", "kernel_id": "95236077"}, {"ref": "mohitsharma231234/road-accident-xgboost-0-0557", "kernel_id": "95331682"}, {"ref": "trentonveres/road-accident-risk-xgboost-regression", "kernel_id": "95552086"}, {"ref": "rudraprasadbhuyan/s5e10-p1-simple-autoviz", "kernel_id": "95747290"}, {"ref": "rudraprasadbhuyan/s5e10-p2-autogluon", "kernel_id": "95751475"}, {"ref": "rudraprasadbhuyan/s5e10-p3-what-is-bayes-optimal-model", "kernel_id": "95876857"}, {"ref": "rudraprasadbhuyan/s5e10-p4-adding-more-data", "kernel_id": "95885838"}, {"ref": "rudraprasadbhuyan/s5e10-p0-understand-the-problem", "kernel_id": "95721985"}, {"ref": "rayhanislamhridoy/easy-code-only-30-lines-road-accident-risk", "kernel_id": "95354648"}, {"ref": "simronw/road-accident-prediction-model", "kernel_id": "95235529"}, {"ref": "revatisn/ps-s5-e10-transformer", "kernel_id": "95156841"}, {"ref": "tomaraman/predicting-risks", "kernel_id": "95540223"}, {"ref": "clemencetravers/s5-e10-xgb-lgb-cat", "kernel_id": "95398548"}, {"ref": "clemencetravers/s5-e10-neural-network", "kernel_id": "95348229"}, {"ref": "clemencetravers/s5-e10-xgb-lgbmreg", "kernel_id": "95359613"}, {"ref": "sixufan110/accident-risk-prediction", "kernel_id": "95216909"}, {"ref": "shawneilrodrigues/predicting-road-accident", "kernel_id": "95643903"}, {"ref": "punyakdei/pg-road-accident-catboost-optuna-rmse-0-05552", "kernel_id": "95936087"}, {"ref": "risheepanchal/s5e10-nn-stacking-gelu", "kernel_id": "95730628"}, {"ref": "aidensong123/notebook9c0c1093ba", "kernel_id": "95500475"}, {"ref": "aidensong123/notebookce9e8612d4", "kernel_id": "95485245"}, {"ref": "anuragyadav156/predicting-road-risk-smarter", "kernel_id": "95492178"}, {"ref": "mrwizard786/road-accident-risk-regression", "kernel_id": "95559388"}, {"ref": "abdullahhaydarkadolu/road-accident-risk-prediction", "kernel_id": "95523915"}, {"ref": "patrykszcz/hc-3-models-xgb-cat-lgb", "kernel_id": "95611390"}, {"ref": "prathameshrenuse/predicting-road-accidents", "kernel_id": "95493574"}, {"ref": "osbhosale/predicting-road-accident-risk", "kernel_id": "95884770"}, {"ref": "medhashree1707/road-accident-risk", "kernel_id": "95230042"}, {"ref": "mahmoudehab6677/road-accidents-risk-prediction", "kernel_id": "95310246"}, {"ref": "sameerhandsome1234/ridge-model", "kernel_id": "95141335"}, {"ref": "adrianscheibelhut/autogluon", "kernel_id": "95060384"}, {"ref": "sanjidh090/ps5e10-xgboost-eda", "kernel_id": "95331571"}, {"ref": "iamfarrukh/predicting-road-accident-risk", "kernel_id": "95333227"}, {"ref": "iamfarrukh/predicting-road-accident-risk-optimized", "kernel_id": "95589638"}, {"ref": "kyouichimei/notebook833594e067", "kernel_id": "95641669"}, {"ref": "luffypsama/pg-series-s05e10-baseline", "kernel_id": "95042677"}, {"ref": "theallkeeeymist/notebook-1", "kernel_id": "95823727"}, {"ref": "mdevian/road-accident-risk-blend-with-extrapolative", "kernel_id": "95884519"}, {"ref": "srinivas26k/xgboost-with-5-fold-cross-validation", "kernel_id": "95586706"}, {"ref": "singha07/notebook98aa7df229", "kernel_id": "95501045"}, {"ref": "marinaalieva/r2-score-0-815-yaaay-i-did-my-best-rly", "kernel_id": "95648787"}, {"ref": "omarsamehshaker/road-accident-1", "kernel_id": "95176601"}, {"ref": "omarsamehshaker/lightgbm", "kernel_id": "95661844"}, {"ref": "omarsamehshaker/ensemble", "kernel_id": "95765250"}, {"ref": "sidakou/beginner-friendly-catboost-optimization-guide", "kernel_id": "95852996"}, {"ref": "sidakou/optimized-weighted-ensemble-of-four-tree-models", "kernel_id": "95624058"}, {"ref": "shreepurvajad/predict-road-accident-risk", "kernel_id": "95151043"}, {"ref": "benedictusryugunawan/playground-series-accident-risk", "kernel_id": "95021170"}, {"ref": "adarsh1077/predicting-road-accident-risk-fast-blend", "kernel_id": "95031147"}, {"ref": "atifkhan12/road-accident-risk-prediction", "kernel_id": "95503899"}, {"ref": "apurvakanth/prediction-road-accident", "kernel_id": "95375443"}, {"ref": "danishrme/road-accident-risk-blend", "kernel_id": "95955913"}, {"ref": "dragz1140w/accident-risk", "kernel_id": "95142924"}, {"ref": "helenaafonsochongo/kgl-comp", "kernel_id": "95732691"}, {"ref": "nass33/notebook22fb364c1c", "kernel_id": "95019903"}, {"ref": "metamodels/optimized-single-catboost-cv-0-05595", "kernel_id": "95405960"}, {"ref": "metamodels/extratrees-for-hc-diversity-cv-0-56016", "kernel_id": "95158697"}, {"ref": "metamodels/hierarchical-bidirectional-rank-based-oof-ensemble", "kernel_id": "95623630"}, {"ref": "manishkudtarkar777/notebook1d8ab19f63", "kernel_id": "95516178"}, {"ref": "alirezaazarboo/road-accident-risk", "kernel_id": "95800356"}, {"ref": "osquerkkzlk/practice-1-osquer", "kernel_id": "95922910"}, {"ref": "osquerkkzlk/practice-2", "kernel_id": "95923393"}, {"ref": "nina2025/ps-s5e10-fourth-glance", "kernel_id": "95834027"}, {"ref": "fazelsamar/roadaccidentriskprediction-using-autogluon", "kernel_id": "95422759"}, {"ref": "chengweizhan/notebooke6cbf45599", "kernel_id": "95863476"}, {"ref": "ubika25/prediction-of-road-accident", "kernel_id": "95046906"}, {"ref": "stephentarter/determine-road-curviness", "kernel_id": "95164398"}, {"ref": "sumit12100012/stacking-over-10-model-meta-data-generator", "kernel_id": "95163108"}, {"ref": "shreyashpatil217/accident-risk-predictions", "kernel_id": "95589779"}, {"ref": "razanihababdellatif/data-driven-accident-risk-analysis", "kernel_id": "95649404"}, {"ref": "mahdiabdollahi76/accident-risk-prediction-with-0-93-r", "kernel_id": "95645437"}, {"ref": "anamtech/predicting-road-accident", "kernel_id": "95625319"}, {"ref": "taisei7/road-accident-risk-eda-baseline-modeling", "kernel_id": "95415328"}, {"ref": "musk2025/notebookd3150f984f", "kernel_id": "95039548"}, {"ref": "vladislavmotovilov/new-note", "kernel_id": "95226229"}, {"ref": "paharpurailab/accident-prediction-with-deeplearning", "kernel_id": "95796282"}, {"ref": "frissie/s5e10-road-accident-risk-prediction", "kernel_id": "95058824"}, {"ref": "yogeshchop/predicting-road-accident-risk", "kernel_id": "95535129"}, {"ref": "bishaladhikari07/road-accident-regression", "kernel_id": "95133797"}, {"ref": "mhamza0810/accident-risk-prediction-fe-stacking", "kernel_id": "95630900"}, {"ref": "rahulks14322/predicting-accident-risk", "kernel_id": "95897405"}, {"ref": "gtanmoy/road-accident-xgboost", "kernel_id": "95533797"}, {"ref": "kokipothuraju/notebook-pothuraju", "kernel_id": "95586785"}, {"ref": "yeswanthpilli/notebook0b8f601c49", "kernel_id": "95583531"}, {"ref": "tilii7/s5e10-genetic-programming-features", "kernel_id": "96333707"}, {"ref": "tilii7/s5e10-tabm-tuned-further", "kernel_id": "96022580"}, {"ref": "utsavsharma1990/lgmregressorwithoptuna", "kernel_id": "96615434"}, {"ref": "kritidoneria/absolute-beginner-start-here", "kernel_id": "96951029"}, {"ref": "princesaiyan9/predicting-accidents-from-feature-importance", "kernel_id": "96348412"}, {"ref": "rakesh82rawat/rr1a-predicting-road-accident-risk-solution", "kernel_id": "96683721"}, {"ref": "ahmedhas93/notebookea61d66979", "kernel_id": "96505688"}, {"ref": "kirderf/road-accident-risk-hill-climbing-ensemble", "kernel_id": "96368348"}, {"ref": "kdmitrie/ensembling-techniques", "kernel_id": "96534108"}, {"ref": "kdmitrie/pgs510-autogluon", "kernel_id": "96710204"}, {"ref": "anugrahgupta/regression-problem-2-predicting-accidents", "kernel_id": "96934156"}, {"ref": "jeanpooljinezsorroza/road-acident-p5-0-05548", "kernel_id": "96154697"}, {"ref": "shuntakinami/chaos-model-lgbm-tabnet", "kernel_id": "96340452"}, {"ref": "mosammatrifaajuhani/road-accident-risk", "kernel_id": "96961817"}, {"ref": "subhodeepmoitra/notebook33c5879e24", "kernel_id": "96254425"}, {"ref": "mohamedabder/01-eda-predicting-road-accident-risk", "kernel_id": "96787645"}, {"ref": "coopermini/road-accidents-eda", "kernel_id": "96452129"}, {"ref": "josephnehrenz/s5e10-predicting-road-accident-risk-w-web-app", "kernel_id": "96735118"}, {"ref": "lauvfpitipak/predicting-road-accident-risk-version-1", "kernel_id": "96958947"}, {"ref": "arvindh22/predicting-road-accident-risk", "kernel_id": "96376523"}, {"ref": "sudipg411/road-accident-feature-engineering-lgbm", "kernel_id": "96471696"}, {"ref": "valentinemwai/predicting-road-accident-risk-xgboost", "kernel_id": "96884414"}, {"ref": "ericbuilder/random-forset", "kernel_id": "96008040"}, {"ref": "bhavikjikadara/road-accident-risk-hgbr", "kernel_id": "96280136"}, {"ref": "omidsakaki1370/road-accident-risk-v2", "kernel_id": "96681278"}, {"ref": "omidsakaki1370/road-accident-risk", "kernel_id": "96669950"}, {"ref": "omidsakaki1370/roadrisk-stack", "kernel_id": "96530207"}, {"ref": "drmclandgraf/ps5e10-predicting-road-accident-risk", "kernel_id": "96564984"}, {"ref": "faizanhussain03/eda-feature-engineering-xgboost", "kernel_id": "96938047"}, {"ref": "ehsanesmaeili/road-accident-risk-blend", "kernel_id": "96359294"}, {"ref": "karltonkxb/ps5e10-accident-risk-xgboost-3-1-1-guru", "kernel_id": "96280892"}, {"ref": "mukilanar/predicting-road-accident", "kernel_id": "96106091"}, {"ref": "rubanzasilva/kaggle-s05e10", "kernel_id": "96393773"}, {"ref": "kethansaikoneru/using-xgboost", "kernel_id": "96924666"}, {"ref": "kethansaikoneru/ps5e10-agentic-ai-solution", "kernel_id": "96291869"}, {"ref": "praneeel/rms-0-05", "kernel_id": "96363808"}, {"ref": "bassetkerouche/4th-place-meta-model-nn-climb-hill", "kernel_id": "96933143"}, {"ref": "vinod123kumar/road-acciedent-prediction", "kernel_id": "96374168"}, {"ref": "vanpatangan/predicting-road-accident-lgbm", "kernel_id": "96765117"}, {"ref": "eu1234/road-accident-risk-multi-seeds-ensemble", "kernel_id": "96083780"}, {"ref": "karanguptaofiicial/road-accident-risk-solution-xgb-lgbm-catboost", "kernel_id": "96209824"}, {"ref": "srishtigarggg/notebookaa40bee267", "kernel_id": "96980481"}, {"ref": "hassanflasha/predicting-road-accident-risk", "kernel_id": "96865348"}, {"ref": "zunorain/predicting-road-accident-risk-compitition", "kernel_id": "96947180"}, {"ref": "jmhasan7/road-accident-risk-ps-s5-e10", "kernel_id": "96821163"}, {"ref": "jmhasan7/predicting-road-accident-risk-ps-s5-e10", "kernel_id": "96953146"}, {"ref": "krystianlata/prediction-accidents-risk", "kernel_id": "96911771"}, {"ref": "chiranjeevimchiru/s5e10-road-accident-xgboost", "kernel_id": "96507854"}, {"ref": "jamespain/road-accident-prediction-attempt-1", "kernel_id": "96576866"}, {"ref": "krajasekhar1410/road-accident-risk-krajasekhar", "kernel_id": "96775276"}, {"ref": "lucashorne/fork-of-predicting-road-accident-risk-ensemble-2", "kernel_id": "96277329"}, {"ref": "davidpupaza/predicting-road-accident-risk-s5e10", "kernel_id": "96961875"}, {"ref": "jawadarshad63/predicting-road-accident-risk-using-xgboost", "kernel_id": "96428194"}, {"ref": "nishantdubey1245/accident", "kernel_id": "96190899"}, {"ref": "winfredmumbingure/predicting-road-accident-risk-lightgbm-cross-valid", "kernel_id": "96084569"}, {"ref": "anamitrasingha/predicting-road-accident-risk", "kernel_id": "96478844"}, {"ref": "paulmpiper/s5e10-rf-shap-ensemble-clipped-predictions-v2", "kernel_id": "96861603"}, {"ref": "paulmpiper/s5e10-enhanced-rf-shap-study-based", "kernel_id": "96858743"}, {"ref": "paulmpiper/s5e10-v9d-ridge-stack-1st-place-features", "kernel_id": "96950509"}, {"ref": "paulmpiper/s5e10-v9c-ridge-stack-1st-place-features", "kernel_id": "96950296"}, {"ref": "paulmpiper/s5e10-v10-final-ridge-stack-1st-place", "kernel_id": "96950796"}, {"ref": "paulmpiper/s5e10-rf-shap-ensemble-v7-all-optimized", "kernel_id": "96945600"}, {"ref": "paulmpiper/s5e10-3-model-ensemble-v8-production-ready", "kernel_id": "96948988"}, {"ref": "paulmpiper/s5e10-v9-ridge-stack-1st-place-features", "kernel_id": "96949817"}, {"ref": "paulmpiper/s5e10-v9b-ridge-stack-1st-place-features", "kernel_id": "96950040"}, {"ref": "paulmpiper/s5e10-rf-shap-ensemble-clipped-predictions-v3", "kernel_id": "96933699"}, {"ref": "paulmpiper/s5e10-rf-shap-ensemble-v4-optimized-params", "kernel_id": "96934215"}, {"ref": "paulmpiper/s5e10-rf-shap-ensemble-v5-skip-optuna", "kernel_id": "96938320"}, {"ref": "paulmpiper/s5e10-rf-shap-ensemble-v6-fixed-catboost", "kernel_id": "96941883"}, {"ref": "paulmpiper/playground-s5e10-full-pipeline-optuna-v2", "kernel_id": "96820787"}, {"ref": "paulmpiper/playground-s5e10-full-pipeline-with-optuna", "kernel_id": "96820283"}, {"ref": "surajkumarjha1/validation-r-score-0-8846-road-accident-risk", "kernel_id": "96337774"}, {"ref": "ojas15/advanced-fe-optuna", "kernel_id": "96171638"}, {"ref": "sunlightsunlight/notebook27602464a5", "kernel_id": "96025390"}, {"ref": "realvisheshbhardawaj/please-upvote-road-accident-risk", "kernel_id": "96557478"}, {"ref": "harshgupta4444/road-accident-risk-prediction-eda", "kernel_id": "96489717"}, {"ref": "abdulahadshaik/predicting-road-accident-risk-12", "kernel_id": "96875431"}, {"ref": "rudraprasadbhuyan/s5e10-p9-weighted-avg-w-optuna-blending", "kernel_id": "96692782"}, {"ref": "rudraprasadbhuyan/s5e10-p10-meta-model-stacking-ridge", "kernel_id": "96737622"}, {"ref": "rudraprasadbhuyan/s5e10-p11-feature-rich-nn-ridge-stacking", "kernel_id": "96745974"}, {"ref": "rudraprasadbhuyan/s5e10-p5-make-feature-rich", "kernel_id": "96010473"}, {"ref": "rudraprasadbhuyan/s5e10-p6-xgboost-optuna-feature-rich", "kernel_id": "96410569"}, {"ref": "rudraprasadbhuyan/s5e10-p8-simple-ensemble-xgb-catb-lgbm", "kernel_id": "96670927"}, {"ref": "rudraprasadbhuyan/s5e10-p7-feature-ensemble-xgb-catb-lgbm", "kernel_id": "96659415"}, {"ref": "spikeybarbs/ps-s5e10-basic-kfold", "kernel_id": "96337475"}, {"ref": "clemencetravers/s5-e10-eda-gbensemble", "kernel_id": "96268433"}, {"ref": "kashifalikhan360/0-0550-lb-ensemble-over-residual", "kernel_id": "96256740"}, {"ref": "ayaan577/season5e10-ensemble-lgb-cat-xgb-nnls", "kernel_id": "96513255"}, {"ref": "sinadehestani/accident-risk-prediction-rmse-0-0554-dslanders", "kernel_id": "96362133"}, {"ref": "dureyashfeen/predicting-road-accident-risk", "kernel_id": "96545511"}, {"ref": "anuragyadav156/simple-xgboost-for-beginner", "kernel_id": "96381586"}, {"ref": "anuragyadav156/ps5e10-accident-risk", "kernel_id": "96633395"}, {"ref": "imantsdolgins/predicting-road-accident-risk-s5e10-xcl-st", "kernel_id": "96809686"}, {"ref": "asmitkaushal/accidentriskprediction-using-xgboost", "kernel_id": "96793640"}, {"ref": "arshjaved/autogloun", "kernel_id": "96493976"}, {"ref": "ldausl/top-1-predicting-road-accident-risk-0-05537", "kernel_id": "96192642"}, {"ref": "ldausl/predicting-road-accident-risk-top-1", "kernel_id": "96308755"}, {"ref": "payalmakwana18/playground-series-s5e10-kfold-cross-valida-1st", "kernel_id": "96674383"}, {"ref": "sanjidh090/optuna-feature-engineering-optimization", "kernel_id": "96807413"}, {"ref": "rahulkate173/predicting-road-accident-risk", "kernel_id": "96230946"}, {"ref": "skm1234556/predicting-road-accident-risk", "kernel_id": "96355112"}, {"ref": "amirmohamadrezaie/accident-risk-prediction-with-catboost-lgbm", "kernel_id": "96963234"}, {"ref": "keshav7198/notebook9fd9d0b739", "kernel_id": "96560928"}, {"ref": "burakaanlevent/fork-of-2020205213-hw3-yedek", "kernel_id": "96271850"}, {"ref": "madmanre/lightautoml-baseline-beginner-friendly", "kernel_id": "96333037"}, {"ref": "mdevian/road-accident-risk-heavy-blending", "kernel_id": "96196012"}, {"ref": "sjain600/sgd-regressor-model", "kernel_id": "96769953"}, {"ref": "tasmayuswain/road-accident-risk", "kernel_id": "96493942"}, {"ref": "pachava07/road-accident-prediction-lightbm", "kernel_id": "96990291"}, {"ref": "omarbadrdata/predicting-road-accident-risk", "kernel_id": "96706361"}, {"ref": "ermecan/predicting-road-accident-risk", "kernel_id": "96521931"}, {"ref": "mdsjaomdsjao/ps5e10-accident-risk-predicition", "kernel_id": "96319847"}, {"ref": "mdsjaomdsjao/accident-risk-predictions-with-gradientboosting", "kernel_id": "96274323"}, {"ref": "mdsjaomdsjao/accident-risk-predictions-with-xgboost", "kernel_id": "96249652"}, {"ref": "andyhsu1997/two-step-model", "kernel_id": "96875585"}, {"ref": "aneevinay/ps5e10-accident-risk-eda", "kernel_id": "96373265"}, {"ref": "sirasaniavinashreddy/notebookee22ea7e9f", "kernel_id": "96524847"}, {"ref": "roy210005/predicting-road-accident-risk-kaggle-2025", "kernel_id": "96945849"}, {"ref": "ak0283/notebook53c5cfc4db", "kernel_id": "96465017"}, {"ref": "kaziaishikuzzaman/road-accident-risk", "kernel_id": "96762763"}, {"ref": "kyanmahajan23/road-accident-eda-and-model-comparison-score-0-056", "kernel_id": "96432841"}, {"ref": "achilov15/feature-pruning-median-imputation-ensemble", "kernel_id": "96556350"}, {"ref": "youssefbahaamord/predicting-road-accident-risk", "kernel_id": "96266448"}, {"ref": "dohg472/accident-risk-policy-v1-net-value-optimization", "kernel_id": "96179833"}, {"ref": "mainaosteennderitu/accident-risk-prediction", "kernel_id": "96427812"}, {"ref": "ayushpandey216/notebook9fd9d0b739", "kernel_id": "96415338"}, {"ref": "nezumon/accident-risk-prediction-mean-std-meta-features", "kernel_id": "96598970"}, {"ref": "howardatri/lightgbm-with-nn-ver7", "kernel_id": "96587097"}, {"ref": "yuanyuan98/accident-risk-prediction-lgb-xgb", "kernel_id": "96392102"}, {"ref": "osquerkkzlk/single-xgb-optuna", "kernel_id": "96592294"}, {"ref": "osquerkkzlk/single-catboost-optuna", "kernel_id": "96614655"}, {"ref": "nina2025/ps-s5e10-simple-vote", "kernel_id": "96001426"}, {"ref": "nina2025/ps-s5e10-directed-randomness", "kernel_id": "96856625"}, {"ref": "ishhverma/road-iilllkkll", "kernel_id": "96721879"}, {"ref": "osmansevili/road-accident-risk", "kernel_id": "96115595"}, {"ref": "vvedantv/road-accident-prediction", "kernel_id": "96803866"}, {"ref": "sieges/road-risk-predict-demo", "kernel_id": "96065300"}, {"ref": "anamtech/predicting-road-accident641635b73b", "kernel_id": "96942930"}, {"ref": "roohialikhani/notebook0c07fa8402", "kernel_id": "96523911"}, {"ref": "roohialikhani/accident-risk-road", "kernel_id": "96780345"}, {"ref": "hircel0912/hircel-predictinng-road", "kernel_id": "96497809"}, {"ref": "oromoalex/predicting-road-accident-riskcbed2adbad", "kernel_id": "96571265"}, {"ref": "mohankrishnathalla/predicting-road-accident-risk-21", "kernel_id": "96482292"}, {"ref": "rama741864/predict-road-accident", "kernel_id": "96809463"}, {"ref": "mohamdgh/ps-s5e10-fourth-glance", "kernel_id": "96211689"}, {"ref": "princesharma074r5/road-accident-prediction", "kernel_id": "96249990"}, {"ref": "paharpurailab/predicting-road-accident-risk-blending", "kernel_id": "96853493"}, {"ref": "navyyah/road-accident-risk-prediction", "kernel_id": "96524921"}, {"ref": "sumeakash/notebook917bd47d24", "kernel_id": "96670691"}, {"ref": "parasjadon05/road-accident-risk-prediction", "kernel_id": "96994044"}, {"ref": "mhamza0810/accident-risk-prediction-ann", "kernel_id": "96091237"}, {"ref": "efekarameseis/roadaccdntriskb3be1d1e0f", "kernel_id": "96519731"}, {"ref": "ahmedmostafa1893/notebook5b74112248", "kernel_id": "96982786"}, {"ref": "dalloliogm/ensembling-multiple-strategies", "kernel_id": "97293440"}, {"ref": "nairnmcwilliams/pg-5-10-predicting-road-accident-risk", "kernel_id": "97153049"}, {"ref": "scirpus/jeepy-road", "kernel_id": "97868760"}, {"ref": "yeoyunsianggeremie/ps5e10-agentic-ai-xgb", "kernel_id": "97434282"}, {"ref": "yeoyunsianggeremie/ps5e10-agentic-ai-lgb", "kernel_id": "97437070"}, {"ref": "yihanguo/playgrounds5e10-public-baseline-v1", "kernel_id": "97238477"}, {"ref": "yihanguo/playgrounds5e10-public-lightgbm-v1", "kernel_id": "97440009"}, {"ref": "lauvfpitipak/predicted-road-accident-risk-cb-ensemble", "kernel_id": "97013519"}, {"ref": "leonchani/01-only-eda-predicting-loan-payback", "kernel_id": "97993203"}, {"ref": "ravi20076/playgrounds5e11-public-imports-v1", "kernel_id": "97530186"}, {"ref": "jackjiii79/ridge-ensemble-model-0-0555", "kernel_id": "97349455"}, {"ref": "vedangbhardwaj0114/predicting-road-accident-risk-vanilla-model", "kernel_id": "97297112"}, {"ref": "vibhojoshi/complete-solution", "kernel_id": "97108368"}, {"ref": "sharmajicoder/accident-risk-prediction-xgboost", "kernel_id": "97410810"}, {"ref": "bassetkerouche/fork-of-models-xgb-lgbm-cat-copie-from-cris", "kernel_id": "97129313"}, {"ref": "chrisk321/s5e11-loan-payment-w-r-catboost-cpu", "kernel_id": "97310485"}, {"ref": "kagankoral/ps-s05e10-accident-risk-prediction", "kernel_id": "97145634"}, {"ref": "ghinaalamsyahh/predicting-road-accident-risk", "kernel_id": "97077011"}, {"ref": "mweglowski/eda-randomforest", "kernel_id": "97244031"}, {"ref": "dasdasdada/high-accuracy-baseline-lgbm-formula-feature", "kernel_id": "97572181"}, {"ref": "lightonkalumba/road-accident-risk-prediction-deep-dive", "kernel_id": "97546653"}, {"ref": "raghulazhagaiah/accident-prediction", "kernel_id": "97381255"}, {"ref": "srinivaspasagadugula/predicting-road-accident-risk-s5ep10", "kernel_id": "97304283"}, {"ref": "younusmohamed/69-05-post-processing-773-models-road-accide", "kernel_id": "97293063"}, {"ref": "abivec/road-prediction-notebook-abinayasankar", "kernel_id": "97321832"}, {"ref": "imrankhanbrohi/predicting-road-accident-risk", "kernel_id": "97346357"}, {"ref": "ankitsharma224589/diamond-edge-genetic-neural-quantum-ensemble", "kernel_id": "97092752"}, {"ref": "mohitsharma231234/road-accident", "kernel_id": "97229468"}, {"ref": "shreyaspandeyy/random-forest", "kernel_id": "97482195"}, {"ref": "muhammaddanyalmalik/road-accident-risk", "kernel_id": "97310822"}, {"ref": "waffloid/yet-another-road-accident-risk", "kernel_id": "97397228"}, {"ref": "molimaheshwari/predicting-road-accident-risk-stacked-ensemble", "kernel_id": "97143524"}, {"ref": "patriciogalvan/s5e11-eda-which-make-sence-lgbm", "kernel_id": "97730289"}, {"ref": "piyushguptav/predicting-road-accidents", "kernel_id": "97427005"}, {"ref": "katharinamaierle/road-accident-risk-optuna-5-10", "kernel_id": "97154382"}, {"ref": "patrykszcz/7th-place-solution-rigde-meta-model", "kernel_id": "97697713"}, {"ref": "sameerhandsome1234/mlflow-tracking", "kernel_id": "97049223"}, {"ref": "sanjidh090/last-dance", "kernel_id": "97417382"}, {"ref": "dmitrysavkov/lgbm-top-20-lb-predicting-s5e10", "kernel_id": "97537319"}, {"ref": "kdallash/simple-stack-regression-with-better-generalization", "kernel_id": "97307402"}, {"ref": "aiexplorer77/predicting-accident-risk", "kernel_id": "97413370"}, {"ref": "camilochart/accident-risk-xgb-with-residual-histograms", "kernel_id": "97477240"}, {"ref": "devpatel132/predicting-accidents-part-5", "kernel_id": "97321654"}, {"ref": "devpatel132/optuna-lgbm", "kernel_id": "97339059"}, {"ref": "abbasi1214/road-accident-risk", "kernel_id": "97451752"}, {"ref": "namithnp/road-accident-risk-prediction-lightgbm", "kernel_id": "97446234"}, {"ref": "tuesdaymatched/lgbm-cat", "kernel_id": "97187395"}, {"ref": "satyatejachukka/road-accident-risk-prediction", "kernel_id": "97066422"}, {"ref": "kaziaishikuzzaman/road-accident-risk-2", "kernel_id": "97397317"}, {"ref": "metamodels/14th-place-simple-average-oof-ensemble", "kernel_id": "97488577"}, {"ref": "shlokyogi24/predicting-road-accident-risk-shlok", "kernel_id": "97449598"}, {"ref": "howardatri/top-5-solution-adversarial-pseudo-stacking", "kernel_id": "97077926"}, {"ref": "motiwala124/predicting-road-accidents-s5e10-score-0-05628", "kernel_id": "97403657"}, {"ref": "nina2025/ps-s5e18-vote-2", "kernel_id": "97385054"}, {"ref": "fazelsamar/road-accident-risk-xbg-lgb-cat", "kernel_id": "97229707"}, {"ref": "fazelsamar/roadaccidentriskprediction", "kernel_id": "97058238"}, {"ref": "riyajolly/notebooke60cc726eb", "kernel_id": "97305009"}, {"ref": "nhatthanhho/s5e10-predicting-road-accident-risk", "kernel_id": "97398963"}, {"ref": "marytaheri/predict-road-accident-dslanders", "kernel_id": "97438852"}, {"ref": "jibonkumarghosh/traffic-accident-prediction1", "kernel_id": "97038249"}, {"ref": "victoriavk/notebook731fa81290", "kernel_id": "97457451"}, {"ref": "ashutosh1605mishra/notebook4910cdb1ff", "kernel_id": "97377718"}, {"ref": "andrkidess/accident-risk-stack-cat-lgbm-rf-xgb", "kernel_id": "97242682"}, {"ref": "bishaladhikari07/road-accident-regression-bishal", "kernel_id": "97022462"}, {"ref": "kdanderson9/predicting-road-accident-risk", "kernel_id": "97140309"}, {"ref": "nathalyingol/prediction-road-accident-risk-ml", "kernel_id": "97288426"}, {"ref": "parasjadon05/road-accident-risk-submission", "kernel_id": "97092950"}, {"ref": "kningclosteria/notebookde63d81d9c", "kernel_id": "97070161"}, {"ref": "sakshisashadass/accident-risk", "kernel_id": "97292649"}, {"ref": "scirpus/histgradientboostingregressor", "kernel_id": "98274320"}, {"ref": "mohamedabder/02-modelisation-predicting-road-accident-risk", "kernel_id": "98222289"}, {"ref": "n0timur/road-accident-risk-xbg-lgb-cat", "kernel_id": "98452461"}, {"ref": "manjunaik241/predicting-accident-risk", "kernel_id": "99348756"}, {"ref": "gamzebabayigit/roadaccidentprediction", "kernel_id": "99465180"}, {"ref": "usmank7/predicting-road-accident-risk", "kernel_id": "99985371"}, {"ref": "assil22/accidentriskprediction-top-12", "kernel_id": "100273920"}, {"ref": "miadul/regression-modeling-on-playground-series-s5e10-dat", "kernel_id": "101892662"}, {"ref": "andyhsu1997/2-step-model", "kernel_id": "101666941"}, {"ref": "ianktoo/lightgbm-for-accident-risk-feature-engineering", "kernel_id": "101613876"}, {"ref": "esmanurozcelik/accident-risk1", "kernel_id": "101286548"}, {"ref": "liutpjh/predicting-road-accident", "kernel_id": "101739731"}, {"ref": "manisasem/kaggle-comp-roadaccident", "kernel_id": "102314907"}, {"ref": "zaidajani/accident-risk-prediction", "kernel_id": "102701096"}, {"ref": "realvisheshbhardawaj/ensembled-for-you", "kernel_id": "102211334"}, {"ref": "clintwu/251128", "kernel_id": "102673219"}, {"ref": "nikhilpatel14/road-accident-prediction-model-using-ml-and-dl", "kernel_id": "102176708"}, {"ref": "eduardopane/predicting-road-accident-risk", "kernel_id": "102613720"}, {"ref": "wardiutari/wardi-s-road-accident-risk", "kernel_id": "102178988"}, {"ref": "pirjan/road-accidents", "kernel_id": "103598800"}, {"ref": "elmoree/roadaccidentriskprediction", "kernel_id": "103299084"}, {"ref": "elasgustavoknaus/simple-average-ensemble-submissions", "kernel_id": "103407473"}, {"ref": "khanhnee/nn-stacking-ps-0-05564", "kernel_id": "103729177"}, {"ref": "hoangnguyentrong/s5e10-nn-stacking-new-dataset-ps-0-05564", "kernel_id": "103952577"}, {"ref": "elmoree/catboost-lightgbm-oof-stacking", "kernel_id": "104596818"}, {"ref": "fedordyuldev/predicting-road-accident-risk-101-b0442c", "kernel_id": "104811691"}, {"ref": "khuzaimairfan26/road-accident-risk-prediction-ipynb-4a9400", "kernel_id": "104115368"}, {"ref": "nnajafpour/eda-and-model", "kernel_id": "104950779"}, {"ref": "sonu07022005/prediction-of-road-accidient-with-lighbgm", "kernel_id": "105517140"}, {"ref": "enesyama/predictingroadaccidentrisk", "kernel_id": "105510281"}, {"ref": "souvikdbiswas/predicting-road-accident-risk", "kernel_id": "105658734"}, {"ref": "neurocipher/road-accident-risk", "kernel_id": "105414175"}, {"ref": "yashvardhanprasad/road-accident-prediction", "kernel_id": "106097221"}, {"ref": "emanafi/predicting-road-accident-risk", "kernel_id": "106987494"}, {"ref": "youssef019/predicting-student-test-scores", "kernel_id": "107792874"}, {"ref": "aminmahmoudalifayed/ai-powered-predictive-sos-system", "kernel_id": "107726616"}, {"ref": "debrajdutta17/ps5e10-agentic-ai-solution", "kernel_id": "108586031"}, {"ref": "sametkrcan/predicting-road-accident-risk-eda-regression", "kernel_id": "108407253"}, {"ref": "yashpalthakor/accident-risk-regression-using-5-fold-network", "kernel_id": "109720401"}, {"ref": "farisfadilarifin/predicting-road-accident-risk-xgb", "kernel_id": "109025726"}, {"ref": "sevvalclalcebeciolu/accident-risk-prediction", "kernel_id": "109239462"}, {"ref": "ericemerich/predicting-road-accident-risk-mlpregressor-eda", "kernel_id": "111355462"}, {"ref": "jalesummak/predicting-road-accident-risk", "kernel_id": "111833039"}, {"ref": "aryangairola/stacking-road-pred", "kernel_id": "112719637"}, {"ref": "nabasaikia/probdist-eda-lgbm-catb", "kernel_id": "112294411"}, {"ref": "nihalba/accident-risk-prediction", "kernel_id": "113647571"}, {"ref": "evgendvorkin/xg-lg-cb-privat-lb-0-05577", "kernel_id": "114660685"}, {"ref": "omeraydin1/road-accident-prediction", "kernel_id": "114296351"}, {"ref": "munozz/ds52-mini-peoject", "kernel_id": "115163864"}, {"ref": "zynptkn06/predicting-road-accident-risk", "kernel_id": "115014317"}, {"ref": "thngnguyn0809/s5e10-nn-stacking-new-dataset-ps-0-05564", "kernel_id": "116777981"}, {"ref": "ramazanulus/predicting-road-accident-risk", "kernel_id": "116146260"}, {"ref": "mohitsharadraogawali/road-risk-fe-ensemble", "kernel_id": "117750565"}, {"ref": "samvelgalstyan/roadaccidentrisk", "kernel_id": "119783270"}, {"ref": "basaktamer/predicting-road-accident-risk", "kernel_id": "119284860"}, {"ref": "chyungmyung/road-accident-prediction", "kernel_id": "120063977"}, {"ref": "xmh666/notebookcd1c6da42c-25ce", "kernel_id": "121932564"}, {"ref": "mhskaya/predicting-road-accident-risk", "kernel_id": "123003399"}, {"ref": "ryotajika/accident-risk-ryo-tajika", "kernel_id": "124892990"}, {"ref": "stevanuso/road-accident-risk-regression", "kernel_id": "126253519"}, {"ref": "fukuokasaaya/fork-of-predicting-road-accident-risk-saaya-fukuok", "kernel_id": "126096372"}, {"ref": "fukuokasaaya/predicting-road-accident-risk-saaya-fukuoka", "kernel_id": "126087018"}, {"ref": "yutahishinuma/notebook-road-accident-risk-yuta-hishinuma", "kernel_id": "126563991"}, {"ref": "bobbybrandy/predicting-road-accident", "kernel_id": "126710811"}, {"ref": "fukuokasaaya/notebook-road-accident-risk-fukuoka2", "kernel_id": "127267768"}, {"ref": "saitejabandaruin/grandmaster-road-accident-risk-predictor", "kernel_id": "128589328"}, {"ref": "zqx960151285/predicting-road-accident-risk", "kernel_id": "129345058"}, {"ref": "jonibekabdurahmonov/notebookd7dee80a22", "kernel_id": "135651149"}]}
{"competition_id": "91722", "kernels": [{"ref": "japerboy/ai-analysis", "kernel_id": "79882891"}, {"ref": "mariusborel/h2o-learning-classifier", "kernel_id": "86397412"}, {"ref": "mariusborel/banking-classification-base-models", "kernel_id": "88345243"}, {"ref": "yigk4out/feature-interaction-predictor", "kernel_id": "94789746"}, {"ref": "dalloliogm/playgrounds5e11-autogluon", "kernel_id": "97579683"}, {"ref": "nairnmcwilliams/pg-5-11-predicting-loan-payback-xgb-version", "kernel_id": "97536640"}, {"ref": "narsil/simple-xgboost-s5e11", "kernel_id": "97856017"}, {"ref": "skovalenko/predicting-loan-payback-extended-eda-xgboost", "kernel_id": "97563991"}, {"ref": "lunthu/s5e11-loan-payback-predictions", "kernel_id": "97519249"}, {"ref": "abisheksrivastav/xgb-catboost", "kernel_id": "97539738"}, {"ref": "sakuno/s5e11-loan-payback-eda-ensemble", "kernel_id": "97811786"}, {"ref": "mmalam/loan-payback", "kernel_id": "97977871"}, {"ref": "makrrc/0-91964-v10-s0511-predicting-loan-payback", "kernel_id": "97757457"}, {"ref": "stpeteishii/loan-default-prediction-using-autogluon", "kernel_id": "97570340"}, {"ref": "stpeteishii/loan-default-prediction-using-ensemble-methods", "kernel_id": "97562174"}, {"ref": "stpeteishii/loan-payback-importance-compe-orgin-comparison", "kernel_id": "97647363"}, {"ref": "mpwolke/just-want-to-get-my-nut-sir", "kernel_id": "97488883"}, {"ref": "vvineeth/loan-payback-prediction", "kernel_id": "97846815"}, {"ref": "cid007/loan-av-doe-nestedcv-ensemble", "kernel_id": "97573954"}, {"ref": "aishwaryasharma1992/ps5e11-loan-prediction-using-nns", "kernel_id": "97553373"}, {"ref": "jeanpooljinezsorroza/loan-payback-eda-base-model", "kernel_id": "97717811"}, {"ref": "shuntakinami/tabnet-lgbm-simple-model", "kernel_id": "97645661"}, {"ref": "shuntakinami/random-submission-it-all-depends-on-luck", "kernel_id": "97496662"}, {"ref": "synchrocyclotron/catboost-classifier-with-gpu", "kernel_id": "97881642"}, {"ref": "swas06/loanpayback-eda", "kernel_id": "97820473"}, {"ref": "swas06/loanpayback-prediction", "kernel_id": "97827681"}, {"ref": "azzamradman/01-xgboost", "kernel_id": "97872723"}, {"ref": "yeoyunsianggeremie/ps5e11-agentic-ai-solution-single-xgb", "kernel_id": "97502445"}, {"ref": "tracyporter/play-5-11-catboost-classifier", "kernel_id": "97543447"}, {"ref": "georgedoukas/loan-payback-00", "kernel_id": "97698063"}, {"ref": "samithsachidanandan/predicting-loan-payback-baseline", "kernel_id": "97590266"}, {"ref": "samithsachidanandan/predicting-loan-payback-multi-model-stack", "kernel_id": "97531180"}, {"ref": "jimgruman/keep-it-classy", "kernel_id": "97612715"}, {"ref": "jocelyndumlao/loan-prediction-with-lightgbm", "kernel_id": "97600296"}, {"ref": "berkayzkan/eda-xgboost-public-score-0-92542", "kernel_id": "97547250"}, {"ref": "berkayzkan/ensemble-solution-for-loan-payback-xgb-cv", "kernel_id": "97536209"}, {"ref": "hustlepy/s5e11-beginner-baseline-0-92208-v3", "kernel_id": "97522096"}, {"ref": "hustlepy/s5e11-5foldcv", "kernel_id": "97521374"}, {"ref": "hustlepy/s5e11-blending", "kernel_id": "97554792"}, {"ref": "hustlepy/s5e11-rapids-cuml-cudf", "kernel_id": "97564950"}, {"ref": "leonchani/01-only-eda-predicting-loan-payback", "kernel_id": "97993203"}, {"ref": "drincon02/loan-payback-solution", "kernel_id": "97559381"}, {"ref": "barbagrande007/bbg007-loanprediction-stacking", "kernel_id": "97674440"}, {"ref": "satyaprakashshukl/predicting-loan-payback", "kernel_id": "97560731"}, {"ref": "ravi20076/playgrounds5e11-public-baseline-v1", "kernel_id": "97539447"}, {"ref": "ravi20076/playgrounds5e11-public-baseline-v2", "kernel_id": "97530891"}, {"ref": "ravi20076/playgrounds5e11-public-imports-v1", "kernel_id": "97530186"}, {"ref": "lvjianlvj/autogluon-baseline-0-78401", "kernel_id": "97526079"}, {"ref": "mathieuduverne/simple-baseline-with-few-fe-experiment", "kernel_id": "97853225"}, {"ref": "andreal314159/s5e11-loan-payback", "kernel_id": "97528888"}, {"ref": "valliansayoga/s5e11-robust-xgb-cv-to-pub-lb", "kernel_id": "97973414"}, {"ref": "ehsanesmaeili/predicting-loan-payback-eda-modeling", "kernel_id": "97505128"}, {"ref": "thuandao/loan-risk-intelligence-eda-ml", "kernel_id": "97534746"}, {"ref": "sohonsagarsingha/loan-pred", "kernel_id": "97885256"}, {"ref": "rv1922/predict-loan-payback-lgbm-roc-auc", "kernel_id": "97629314"}, {"ref": "rv1922/predict-loan-payback-xgboost-roc-auc", "kernel_id": "97521342"}, {"ref": "rv1922/predicting-loan-payback-optimizing-for-auc", "kernel_id": "97530423"}, {"ref": "visha1dubey/optunatuned-lightgbm-catboost-meta-stack", "kernel_id": "97967501"}, {"ref": "karltonkxb/s5e11-get-loan-back-xgb-cuml-te", "kernel_id": "97881008"}, {"ref": "karltonkxb/s5e11-loan-xgb-lgbm-cuml-92-71", "kernel_id": "97553607"}, {"ref": "manojkumarmansingh/notebook554219acbc", "kernel_id": "97794160"}, {"ref": "prash4nt/ps05e11-eda-logistic-regression", "kernel_id": "97506859"}, {"ref": "anotherbadcode/stacked-boosting-for-loan-risk-prediction", "kernel_id": "97489763"}, {"ref": "rohansardar/predicting-loan-payback-using-neural-network", "kernel_id": "97502131"}, {"ref": "mariusborel/first-raw-submission-lgbmclassifier", "kernel_id": "97489067"}, {"ref": "mariusborel/predicting-load-payback-boostclassifier", "kernel_id": "97913527"}, {"ref": "mariusborel/first-raw-submission-catboostclassifier", "kernel_id": "97773986"}, {"ref": "gkanamoto/s5e11-eda-xgb", "kernel_id": "97967425"}, {"ref": "tungnhitran/ps5e11-ensemble-xgboost-lightgbm-catboost", "kernel_id": "97515716"}, {"ref": "masayakawamata/s5e11-xgb-baseline", "kernel_id": "97513807"}, {"ref": "masayakawamata/s5e11-xgb-orig-as-col", "kernel_id": "97522377"}, {"ref": "masayakawamata/s5e11-te-xgb-interaction-features", "kernel_id": "97530988"}, {"ref": "masayakawamata/s5e11-ridge-ensemble", "kernel_id": "97534684"}, {"ref": "masayakawamata/s5e11-realmlp-baseline", "kernel_id": "97535342"}, {"ref": "harharharhar/loan-payback-xgboost-0-92-v5-0", "kernel_id": "97534354"}, {"ref": "nickzhilsky/pda-catboost-lgbm-blend", "kernel_id": "97523000"}, {"ref": "francescoliveras/ps-s5-e11-eda-model-en-es", "kernel_id": "97825653"}, {"ref": "sharmajicoder/catboost-auc-roc-0-9237", "kernel_id": "97516319"}, {"ref": "arraylist1402/loan-payback-prediction-basic-pipeline", "kernel_id": "97850252"}, {"ref": "vh10935cse20/loan-payback-lgbm", "kernel_id": "97844686"}, {"ref": "vh10935cse20/loan-payback-catboost-2", "kernel_id": "97688735"}, {"ref": "vh10935cse20/loan-payback-catboost", "kernel_id": "97555276"}, {"ref": "miadul/data-visualization", "kernel_id": "97581526"}, {"ref": "vanpatangan/predicting-loan-payback-ensemble", "kernel_id": "97955079"}, {"ref": "chrisk321/s5e11-loan-payment-w-r-catboost-cpu", "kernel_id": "97310485"}, {"ref": "atharva0577/s5e11-eda-baseline", "kernel_id": "97497733"}, {"ref": "les1781/predicting-loan-payback-playground-series-s5e11", "kernel_id": "97877783"}, {"ref": "vishnupriyagarige/predicting-loan-payback", "kernel_id": "97489887"}, {"ref": "abeshith/loan-amount-s-good-but-payback-interest", "kernel_id": "97500986"}, {"ref": "alokrajsidhaarth/predicting-loan-payback-catboost-optuna-hpo", "kernel_id": "97537520"}, {"ref": "subarnasaikia/s5e11-eda-lightgbm-lb-0-92596", "kernel_id": "97586240"}, {"ref": "vivek7557/loan-prediction-eda-and-lgb-model", "kernel_id": "97574565"}, {"ref": "chlorasteiro/loancomp", "kernel_id": "97561278"}, {"ref": "engineerfrabbi/predicting-loan-payback-1", "kernel_id": "97622032"}, {"ref": "engineerfrabbi/predicting-loan-payback", "kernel_id": "97566501"}, {"ref": "robertpatchin/s5e11-auc-loan-shark", "kernel_id": "97522065"}, {"ref": "amri11/prediction-loan-payback-ml", "kernel_id": "97762355"}, {"ref": "alekseyheleskul/xgboost-insurance-cv-0-9255", "kernel_id": "97542500"}, {"ref": "yousefelshahat2/simple-xgboost-only-competition-data-s5e11", "kernel_id": "97484843"}, {"ref": "ruwadnaswan/extensive-eda-loan-prediction", "kernel_id": "97527898"}, {"ref": "sdeogade/loan-payback", "kernel_id": "97550418"}, {"ref": "mikhailnaumov/loan-payback-xgb-lgbm-hgb", "kernel_id": "97524223"}, {"ref": "kingkcabir/payback", "kernel_id": "97974110"}, {"ref": "rkmaurya93/loan-payback", "kernel_id": "97511137"}, {"ref": "anthonytherrien/s5e11-nn-interaction-features", "kernel_id": "97538340"}, {"ref": "anthonytherrien/s5e11-loan-payback-xgboost", "kernel_id": "97693945"}, {"ref": "anthonytherrien/fork-of-s5e11-loan-payback-lightgbm", "kernel_id": "97986435"}, {"ref": "abdmental01/baseline-loan-payback", "kernel_id": "97584575"}, {"ref": "codehashira/lightgbm-catboost-xgboost", "kernel_id": "97699593"}, {"ref": "mohameddrabo/predicting-loan-payback", "kernel_id": "97804777"}, {"ref": "ashishk1331/predicting-loan-payback-v1", "kernel_id": "97722248"}, {"ref": "tomasa2/predicting-loan-payback-eda-xgboost-optuna", "kernel_id": "97808700"}, {"ref": "tomasa2/enhanced-loan-payback-prediction-with-4-models", "kernel_id": "97884970"}, {"ref": "ankitsharma224589/loan-payback-prediction-triple-ensemble-eda", "kernel_id": "97677867"}, {"ref": "kimhoogenboom/loans", "kernel_id": "97575598"}, {"ref": "lakhindarpal/predicting-loan-payback", "kernel_id": "97507675"}, {"ref": "adritachakrabarti/loan-predictor", "kernel_id": "97579010"}, {"ref": "harshgupta4444/loan-payback-eda-analysis", "kernel_id": "97504455"}, {"ref": "harshgupta4444/quick-xgboost-baseline-loan-payback", "kernel_id": "97508724"}, {"ref": "quantum09/pay-back-eda-modeling", "kernel_id": "97559375"}, {"ref": "koushikkumardinda/predicting-loan-payback", "kernel_id": "97496161"}, {"ref": "kirikiti/logisticreg-loanpay-s5e11", "kernel_id": "97782300"}, {"ref": "vonexel/ps5e11-eda-fe-optuna-stacking", "kernel_id": "97727190"}, {"ref": "leaders24/loan-version2", "kernel_id": "97794233"}, {"ref": "mohitsharma231234/loan-paid-back-xgboost-0-9217", "kernel_id": "97865965"}, {"ref": "mohitsharma231234/loan-paid-back-xgboost-0-9208", "kernel_id": "97531937"}, {"ref": "samarpanrai/loan-payback-prediction-s5e11-ensemble", "kernel_id": "97486554"}, {"ref": "rudraprasadbhuyan/s5e11-p0-error-learning-of-s5-e10", "kernel_id": "97574578"}, {"ref": "rudraprasadbhuyan/s5e11-p3-simple-autoviz", "kernel_id": "97914325"}, {"ref": "rudraprasadbhuyan/s5e11-p4-adding-more-data", "kernel_id": "97917725"}, {"ref": "rudraprasadbhuyan/s5e11-p2-simple-ann-model-on-original-data", "kernel_id": "97765841"}, {"ref": "rudraprasadbhuyan/s5e11-p1-understand-the-problem", "kernel_id": "97759809"}, {"ref": "muhammaddanyalmalik/cat-xgb-rankdata", "kernel_id": "97590982"}, {"ref": "arunkumaroraon/loan-repayment-eda-and-lgbmclassifier", "kernel_id": "97506018"}, {"ref": "mridul990601/predicting-loan-payback-hstacking", "kernel_id": "97830835"}, {"ref": "chikonzeroselemani/s5e11-xgboost-optuna-kfold", "kernel_id": "97743312"}, {"ref": "harrykesh/s5e11-xgboost", "kernel_id": "97552545"}, {"ref": "harrykesh/starter-notebook-how-to-use-the-original-dataset", "kernel_id": "97549015"}, {"ref": "withonlyashwin/loan-payback-blend-model-v1", "kernel_id": "97818393"}, {"ref": "kunalkashyap29/loancompetition", "kernel_id": "97531207"}, {"ref": "yashsahu02/s5e11-predicting-loan-payback", "kernel_id": "97547034"}, {"ref": "patriciogalvan/s5e11-eda-which-make-sence-lgbm", "kernel_id": "97730289"}, {"ref": "anuragyadav156/simple-xgboost-predicting-loan-payback-smarter", "kernel_id": "97928310"}, {"ref": "jeynii/loan-paid-prediction", "kernel_id": "97686966"}, {"ref": "adilshamim8/predicting-loan-payback-101", "kernel_id": "97494216"}, {"ref": "ruhul20/predicting-loan-payback-eda-lgb-rf-xgb", "kernel_id": "97846614"}, {"ref": "ilyassaylk/credit-score-wizard-advanced-feature-engineering", "kernel_id": "97723797"}, {"ref": "laureanoarcanio/orthogonality-checker", "kernel_id": "97871875"}, {"ref": "rattans/logistic-regression-loan-payback-probability", "kernel_id": "97502322"}, {"ref": "i0nlyaziz/loan-payback-with-xgboost-and-feature-engineering", "kernel_id": "97828176"}, {"ref": "sanjidh090/ps-5-11-lgbm-is-on", "kernel_id": "97509427"}, {"ref": "sanjidh090/learning-hands-on-decision-tree-classifier", "kernel_id": "97956710"}, {"ref": "dchehe/loan-repayment-pipeline-xgboost-model", "kernel_id": "97567453"}, {"ref": "rahulkate173/predicting-loan-payback", "kernel_id": "97718516"}, {"ref": "ocwerfrancis/loan-payback-prediction", "kernel_id": "97526486"}, {"ref": "amirmohamadrezaie/loan-payback-prediction-eda-lite-lgbm-baseline", "kernel_id": "97524915"}, {"ref": "skarin/s5e11-predicting-loan-payback-lgbm-optuna-cv", "kernel_id": "97526621"}, {"ref": "talkiestclaw454/loan-payback-basic-eda-catboost-auc-0-92331", "kernel_id": "97637675"}, {"ref": "madmanre/eda-catboost-baseline-0-92348", "kernel_id": "97590722"}, {"ref": "aiexplorer77/loan-payback-predictor", "kernel_id": "97516324"}, {"ref": "craftycode/loan-payback-prediction-beta-nn", "kernel_id": "97854538"}, {"ref": "nayanspatil/loan-prediction", "kernel_id": "97991081"}, {"ref": "sidakou/simple-histgradientboost-baseline-for-loan-payback", "kernel_id": "97908623"}, {"ref": "sidakou/simple-lightgbm-baseline-for-loan-payback", "kernel_id": "97910477"}, {"ref": "sidakou/optimized-weighted-ensemble-of-xgb-lgb-cat-hgb", "kernel_id": "97759788"}, {"ref": "sidakou/simple-xgboost-baseline-for-loan-payback", "kernel_id": "97665870"}, {"ref": "sidakou/simple-catboost-baseline-for-loan-payback", "kernel_id": "97587838"}, {"ref": "olaflundstrom/kaggle-playground-series-season-5-episode-11", "kernel_id": "97599172"}, {"ref": "olaflundstrom/kaggle-loan-payback-notebook", "kernel_id": "97514321"}, {"ref": "aneevinay/ps5e11-loan-payback-dataset-analysis", "kernel_id": "97532644"}, {"ref": "aneevinay/ps5e11-loan-payback-prediction", "kernel_id": "97535313"}, {"ref": "tuesdaymatched/paid-back-ability", "kernel_id": "97529554"}, {"ref": "chiragsharma1201/predicting-loan-payback", "kernel_id": "97848087"}, {"ref": "canozensoy/ps-s5e11-xgboost-stability-model", "kernel_id": "97972958"}, {"ref": "aadityaiscoding/loanpayback-competition", "kernel_id": "97866428"}, {"ref": "surjodey/predicting-loan-payback-2-11-25", "kernel_id": "97652993"}, {"ref": "rajraman83/meta-models-all", "kernel_id": "97869373"}, {"ref": "shivams811/loan-payback-ps5e11-lgb-cat", "kernel_id": "97522520"}, {"ref": "ronak2005/loan-payback-xgboost", "kernel_id": "97575954"}, {"ref": "kapaopu/loanpredict", "kernel_id": "97779360"}, {"ref": "momerer/h-blend-with-xgb-lgbm-submission-public-0-92669", "kernel_id": "97550204"}, {"ref": "momerer/predicting-loan-payback-xgb-lgbm", "kernel_id": "97534032"}, {"ref": "krugex/custom-cnn-with-lstm-and-regression", "kernel_id": "97825831"}, {"ref": "ryqn00/s5e11", "kernel_id": "97557902"}, {"ref": "ianteigen/predicting-loan-payback-full-eda", "kernel_id": "97528058"}, {"ref": "crudeessence/prediction-loan", "kernel_id": "97855771"}, {"ref": "danielhnguyen24/loan-repayment-prediction-lr-xgb-intermediate", "kernel_id": "97988460"}, {"ref": "analyticaobscura/s5e11-loan-payback-xgb-lgbm-ann", "kernel_id": "97530278"}, {"ref": "emircansoftware/tutorial-basic-model-comparison-kfold", "kernel_id": "97530237"}, {"ref": "agazie/predictingloanpayback", "kernel_id": "97522040"}, {"ref": "quangnguynv/predicting-loan-payback-logistic-regression", "kernel_id": "97928330"}, {"ref": "amanvishwakarma01/loan-payback-prediction-cross-validation", "kernel_id": "97679652"}, {"ref": "amanvishwakarma01/loan-payback-prediction-xgboost-baseline", "kernel_id": "97526026"}, {"ref": "amanvishwakarma01/s5e11-loan-complete-eda-lightgbm-modeling", "kernel_id": "97724469"}, {"ref": "osquerkkzlk/analysis-data", "kernel_id": "97665207"}, {"ref": "nina2025/ps-s5e11-h-blend-1", "kernel_id": "97515458"}, {"ref": "nina2025/ps-s5e11-first-glance-1-feats", "kernel_id": "97511426"}, {"ref": "nina2025/ps-s5e11-less-submissions-h-blend", "kernel_id": "97620336"}, {"ref": "nina2025/ps-s5e11-h-blend-4-prep-v-blend", "kernel_id": "97610829"}, {"ref": "nina2025/ps-s5e11-h-blend-2", "kernel_id": "97544195"}, {"ref": "nina2025/ps-s5e11-h-blend-first-glance", "kernel_id": "97934877"}, {"ref": "nina2025/ps-s5e11-hblend", "kernel_id": "97830480"}, {"ref": "nina2025/ps-s5e11-h-blend-5", "kernel_id": "97743566"}, {"ref": "murtazaabdullah2010/s5e11-loan-payback-ensemble", "kernel_id": "97529308"}, {"ref": "yusufsertkayaysk/predicting-loan-payback", "kernel_id": "97528823"}, {"ref": "justcode1/loan-payback", "kernel_id": "97553328"}, {"ref": "pythoxb/eda-loan-payback", "kernel_id": "97544306"}, {"ref": "ignaciomenna/loan-payback-cnn", "kernel_id": "97558163"}, {"ref": "avineshprabhakaran/loan-prediction-competition", "kernel_id": "97922142"}, {"ref": "hermitsays/smart-loan-payback-ml-model", "kernel_id": "97507708"}, {"ref": "chhajerlokesh/notebookc0d0535658", "kernel_id": "97712582"}, {"ref": "shreyashpatil217/loan-prediction-credit-risk-assessment", "kernel_id": "97994779"}, {"ref": "swwwqqt/loan-paid-back-prediction", "kernel_id": "97501085"}, {"ref": "stkofun/notebook-test", "kernel_id": "97545072"}, {"ref": "showpega/plp-learn", "kernel_id": "97773995"}, {"ref": "sergestepanov2025/predicting-loan-payback-lgbm", "kernel_id": "97824762"}, {"ref": "ufukckose/s5e11-baseline", "kernel_id": "97486950"}, {"ref": "ufukckose/s5e11-eda-only", "kernel_id": "97485456"}, {"ref": "ufukckose/ensemble-model-xgb-lgbm-cat-0-92", "kernel_id": "97486444"}, {"ref": "ankit02yadav/ps-s5e11-predicting-loan-payback", "kernel_id": "97674715"}, {"ref": "dnyaneshbharambe/loanrepay-lgb-with-optuna", "kernel_id": "97925118"}, {"ref": "paharpurailab/xgboost-frequency-features-quantile-binning", "kernel_id": "97510195"}, {"ref": "paharpurailab/s5e11-xgboost-optuna", "kernel_id": "97503416"}, {"ref": "irungujay/loan-payback-prediction-model", "kernel_id": "97937779"}, {"ref": "smujtabahussain/predictingloanpayback-s5e11", "kernel_id": "97977581"}, {"ref": "vladosht/competition-s5e11-loanpayback", "kernel_id": "97826321"}, {"ref": "mhamza0810/loan-payback-starter-eda", "kernel_id": "97571525"}, {"ref": "nairnmcwilliams/pg-5-11-predicting-loan-payback-lgbm-version", "kernel_id": "98061000"}, {"ref": "onodera/s5e11-6x-faster-with-rapids", "kernel_id": "98501133"}, {"ref": "abisheksrivastav/xgboost-target-encoding", "kernel_id": "98339068"}, {"ref": "yekenot/ps-s5-e11-trompt-pytorch-frame", "kernel_id": "98761348"}, {"ref": "cdedev/xgboost-train-and-submit", "kernel_id": "98949135"}, {"ref": "docxian/ps-s5-e11-predict-loan-payback", "kernel_id": "98480807"}, {"ref": "mmalam/eda-nonnumeric-columns", "kernel_id": "98038267"}, {"ref": "mmalam/eda-nonnumeric-columns-combinations-heat-map", "kernel_id": "98129247"}, {"ref": "mmalam/indifferent-classifiers-with-k-fold", "kernel_id": "98168547"}, {"ref": "paolomascia/predicting-loan-payback", "kernel_id": "98638688"}, {"ref": "paolomascia/predicting-loan-payback-with-deep-learning", "kernel_id": "98763745"}, {"ref": "obiaf88/s5e11-complete-eda", "kernel_id": "98752771"}, {"ref": "ikarus99/ps5e11-simple-eda", "kernel_id": "98407764"}, {"ref": "ikarus99/ps5e11-moe-switch-transformer-globalattention", "kernel_id": "98762832"}, {"ref": "omarvivas/cb-s5e11-auc", "kernel_id": "98676071"}, {"ref": "omarvivas/lgbm-s5e11-auc", "kernel_id": "98861931"}, {"ref": "omarvivas/xgb-s5e11-auc", "kernel_id": "98862470"}, {"ref": "stpeteishii/mutual-feature-importance-in-loan-payback", "kernel_id": "98390981"}, {"ref": "akioonodera/ps5-11-lgbm-regression", "kernel_id": "98394712"}, {"ref": "yeoyunsianggeremie/ps5e11-pytorch-nn-baseline-with-gqa", "kernel_id": "98318776"}, {"ref": "deepak915/multi-seed-meta-stacker-pipeline", "kernel_id": "98040467"}, {"ref": "sspan0019/predicting-loan-payback-simple-nn", "kernel_id": "98842502"}, {"ref": "amitadhi/loan-payback-prediction-lgbm", "kernel_id": "98058936"}, {"ref": "vishalrawat0/ml-pipeline-mastery-data-qa-to-final-results", "kernel_id": "98013386"}, {"ref": "samithsachidanandan/predicting-loan-payback-tf", "kernel_id": "98003850"}, {"ref": "samithsachidanandan/predicting-loan-payback-tf-ensemble", "kernel_id": "98139141"}, {"ref": "samithsachidanandan/predicting-loan-payback-xgboost-lb-0-92415", "kernel_id": "98141629"}, {"ref": "omidsakaki1370/loan-payback-prediction", "kernel_id": "98194494"}, {"ref": "ravi20076/playgrounds5e11-public-baseline-v3", "kernel_id": "98743344"}, {"ref": "malaak/simple-loan-payback", "kernel_id": "98277897"}, {"ref": "anwarabualhussien/playground-s5e11-in-depth-eda-feature-analysis", "kernel_id": "98305252"}, {"ref": "lucifierx/competition-starter-predicting-loan", "kernel_id": "98570098"}, {"ref": "klyushnik/s5e11-ensemble-roc-0-92268", "kernel_id": "98184163"}, {"ref": "rishurajgautam/who-pays-back-eda-deep-dive-into-loan-risk", "kernel_id": "98198822"}, {"ref": "uuratl/i-declare-bankruptcy-lgbcmlassifier", "kernel_id": "98952378"}, {"ref": "lokeshvns/predicting-loan-paybacks", "kernel_id": "98108855"}, {"ref": "rohansardar/s5e11-loan-payback-stackingclassifier-eda", "kernel_id": "98919361"}, {"ref": "ameniayedi/playground-s5e11-predicting-loan-payback", "kernel_id": "98138667"}, {"ref": "linyaungzin/loan-prediction-data-analysis", "kernel_id": "98576361"}, {"ref": "masayakawamata/s5e11-cat-interaction-features", "kernel_id": "98069563"}, {"ref": "masayakawamata/s5e11-single-xgb-add-features", "kernel_id": "98536987"}, {"ref": "masayakawamata/s5e11-single-lgbm-tuned", "kernel_id": "98552643"}, {"ref": "masayakawamata/s5e11-xgb-over-residuals-experimental", "kernel_id": "98541491"}, {"ref": "kaibaur/loan-prediction-lgbm-model", "kernel_id": "98065632"}, {"ref": "vh10935cse20/loan-payback-catboost-lgbm", "kernel_id": "98467542"}, {"ref": "miadul/loan-default-prediction-tabular-playground", "kernel_id": "98669630"}, {"ref": "ibrahimcetin2424/xgb-auc-0-9176", "kernel_id": "98527562"}, {"ref": "kagankoral/ps-s05e11-loan-payback-prediction", "kernel_id": "98779618"}, {"ref": "shivanisharma1297/predicting-loan-payback", "kernel_id": "98700333"}, {"ref": "taidoduc/xgboost-enhanced-features-score-0-92657", "kernel_id": "98418257"}, {"ref": "itasps/pss5e11-starter-notebook-autogluon-ensemble", "kernel_id": "98265561"}, {"ref": "itasps/pss5e11-starter-notebook-automl-flaml-ensemble", "kernel_id": "98288732"}, {"ref": "itasps/pss5e11-transformer-based-tabpfn-ensemble", "kernel_id": "98606810"}, {"ref": "shrtroshan/just-xgboost", "kernel_id": "98260319"}, {"ref": "aayushiweb/loan-payable", "kernel_id": "98637684"}, {"ref": "aayushiweb/predicting-loan-payback", "kernel_id": "98566437"}, {"ref": "shaunax/s5-e11-loan-paid-back", "kernel_id": "98995019"}, {"ref": "yousefelshahat2/simple-lightgbm-only-competition-data-s5e11", "kernel_id": "98204299"}, {"ref": "sudhanshu3112/loan-payback-eda-ensemble-models", "kernel_id": "98002861"}, {"ref": "anthonytherrien/ps-s5e11-blend", "kernel_id": "98303757"}, {"ref": "mohameddrabo/predicting-loan-payback-eda-modeling", "kernel_id": "98938074"}, {"ref": "rohitkumar211987/predicting-loan-payback-randomforestclassifier", "kernel_id": "98558731"}, {"ref": "realvisheshbhardawaj/horizontal-blending", "kernel_id": "98147327"}, {"ref": "realvisheshbhardawaj/loan-payback", "kernel_id": "98752230"}, {"ref": "saiganeshvoodi/loan-payback-prediction-xgboost", "kernel_id": "98498885"}, {"ref": "saiganeshvoodi/lightgbm-predicting-loan-payback", "kernel_id": "98500501"}, {"ref": "mohitsharma231234/predicting-loan-paid-back-xgboost-eda-0-9222", "kernel_id": "98107802"}, {"ref": "mohitsharma231234/s5e11-simple-lgbm-0-923", "kernel_id": "98915285"}, {"ref": "rudraprasadbhuyan/fork-of-s5e11-p7-feature-rich-ann", "kernel_id": "98186481"}, {"ref": "rudraprasadbhuyan/s5e11-p7-feature-rich-ann", "kernel_id": "98165403"}, {"ref": "rudraprasadbhuyan/s5e11-p6-feature-rich", "kernel_id": "98160003"}, {"ref": "rudraprasadbhuyan/s5e11-p5-optuna-rf-xgb-catb-lgb", "kernel_id": "98032180"}, {"ref": "muhammaddanyalmalik/more-loan-payback", "kernel_id": "98664888"}, {"ref": "ahmetdoruk/loan-payback-prediction-using-lightgbm-catboost", "kernel_id": "98765440"}, {"ref": "labibshahriar/ps-s5e9-0-92721-on-public-lb", "kernel_id": "98036446"}, {"ref": "labibshahriar/ps-s5e9-0-92730", "kernel_id": "98164864"}, {"ref": "clemencetravers/s5-e11-neural-network", "kernel_id": "98423737"}, {"ref": "reedwrogers/predicting-loan-payback", "kernel_id": "98362079"}, {"ref": "easterndundrey/ps-s5e11-meta-ensemble", "kernel_id": "98552134"}, {"ref": "bhaskarmishra44796/plp-ps5e11-baseline", "kernel_id": "98012825"}, {"ref": "said003/loan-payback-prediction-xgboost-analysis", "kernel_id": "98314256"}, {"ref": "juhisahu2023/predicting-loan-payback", "kernel_id": "98737973"}, {"ref": "jeynii/stacking-ensemble", "kernel_id": "98288702"}, {"ref": "imantsdolgins/predicting-loan-payback-s5e11-eda", "kernel_id": "98007570"}, {"ref": "eduardarzumanyan/s5e11-loan-payback-xgb-da-featue-engineering", "kernel_id": "98594448"}, {"ref": "liamislazy/predicting-loan-payback", "kernel_id": "98282267"}, {"ref": "moridata/predicting-loan-payback-lightgbm-catboost-xgb", "kernel_id": "98119532"}, {"ref": "kirandesaikinvig/predicting-loan-payback-xgb-with-k-fold", "kernel_id": "98691174"}, {"ref": "kirandesaikinvig/predicting-loan-payback", "kernel_id": "98455165"}, {"ref": "rattans/xgb-visualization-loan-payback-probability", "kernel_id": "98022955"}, {"ref": "mdevian/p06e-advance", "kernel_id": "98020187"}, {"ref": "nayanspatil/loan-payment-dl-ann", "kernel_id": "98117564"}, {"ref": "nayaktanushree/mynotebook4560", "kernel_id": "98900773"}, {"ref": "chaiyapatmetha/loan-payback-basic-explanation", "kernel_id": "98608657"}, {"ref": "meyupy/s5e11-simple-catboost-92-44", "kernel_id": "98181739"}, {"ref": "jenniferimogie/loanprediction8659", "kernel_id": "98286340"}, {"ref": "atifkhan12/prediction-loan-payback", "kernel_id": "98263454"}, {"ref": "kylepineiro/predicting-loan-payback-lightgbm", "kernel_id": "98043245"}, {"ref": "shivams811/loan-payback-ann-s5e11", "kernel_id": "98153419"}, {"ref": "hardikjainharsora1/predicting-loan-payback", "kernel_id": "98642035"}, {"ref": "johnkihoro/prediction-with-logisticregression", "kernel_id": "98016527"}, {"ref": "tareqhmisho/xgboost-loan-paid-back-predictions", "kernel_id": "98444199"}, {"ref": "momerer/s5e11-pytabkit-solution-0-92623", "kernel_id": "98652996"}, {"ref": "momerer/s5e11-lgbm-xgb-cat-0-92722", "kernel_id": "98676288"}, {"ref": "hadesgo/loan-payback", "kernel_id": "98581408"}, {"ref": "hadesgo/pl-ensemble", "kernel_id": "98923818"}, {"ref": "abhishekawasthi151/predicting-loan-payback", "kernel_id": "98488326"}, {"ref": "emircansoftware/autogluon-eda-feature-engineering", "kernel_id": "98179236"}, {"ref": "nina2025/ps-s5e11-straight-blend", "kernel_id": "98534266"}, {"ref": "nina2025/ps-s5e11-h-blend-second-glance", "kernel_id": "98524557"}, {"ref": "nina2025/ps-s5e11-vote", "kernel_id": "98305773"}, {"ref": "nina2025/ps-s5e11-experiment", "kernel_id": "98032471"}, {"ref": "nina2025/ps-s5e11-h-blend-third-glance", "kernel_id": "98861989"}, {"ref": "vasudevtalaviya/loan-pay-back-modeling", "kernel_id": "98992638"}, {"ref": "pythoxb/loan-payback-outlier", "kernel_id": "98016687"}, {"ref": "zorornoa/loan-payback", "kernel_id": "98739282"}, {"ref": "adityakumarsingh135/predicting-loan-payback", "kernel_id": "98910449"}, {"ref": "sunnynguyensanjoseca/loan-payback-predictor-mean", "kernel_id": "98240265"}, {"ref": "d1zplay/xgb-baseline", "kernel_id": "98488095"}, {"ref": "hmnshudhmn24/predicting-loan-payback-playground-series-s5e11", "kernel_id": "98885922"}, {"ref": "santoshyadavaiexpert/loan-payback-prediection", "kernel_id": "98260409"}, {"ref": "jsganesh/aggressive-stack-lgb-py", "kernel_id": "98842541"}, {"ref": "walkershwind/loan-payback", "kernel_id": "98255677"}, {"ref": "hirukadulneth/predicting-loan-payback", "kernel_id": "98554898"}, {"ref": "pietercrotteveel/lgbm-and-xgb-models-for-predicting-loan-payback", "kernel_id": "98202290"}, {"ref": "saivimenthanvlai/loan-prediction-synthetic-eda", "kernel_id": "98715548"}, {"ref": "prasadshinde10/loan-paidback-prediction-ml", "kernel_id": "98461278"}, {"ref": "aridoge13/loan-payback-competition", "kernel_id": "98117479"}, {"ref": "suntechengg/notebookadf741da8b", "kernel_id": "98880951"}, {"ref": "sharifobaidullah/house-price-prediction-2025", "kernel_id": "98990024"}, {"ref": "sureshgangula/logistic-regression-loan-payback-probability", "kernel_id": "98505280"}, {"ref": "bapuraogore/lonedataaaaa", "kernel_id": "98758639"}, {"ref": "fadeeeh/rcode", "kernel_id": "98887407"}, {"ref": "amolgaddekar/day-1a-from-prompt-to-action", "kernel_id": "98965791"}, {"ref": "utsavsharma1990/predictloanpayback-exp2", "kernel_id": "99510078"}, {"ref": "ryzhokhina/s5e11-loanpayback-eda", "kernel_id": "99160078"}, {"ref": "ryzhokhina/s5e11-loanpayback-lbgm-tuned", "kernel_id": "99462837"}, {"ref": "inavyatatikonda/0-9199-loan-payback-score", "kernel_id": "99021220"}, {"ref": "tinlee/loan-payback-prediction", "kernel_id": "99821168"}, {"ref": "kiransr21/predicting-loan-payback-ml-model-and-eda", "kernel_id": "99826708"}, {"ref": "swas06/loanpayback-lightgbm", "kernel_id": "99467383"}, {"ref": "azzamradman/05-ultimate-xgboost", "kernel_id": "99741133"}, {"ref": "josephnehrenz/s5e11-loan-payback-prediction-xgb-web-app", "kernel_id": "99987685"}, {"ref": "catalogearth/predicting-loan-payback", "kernel_id": "99978156"}, {"ref": "hardikmakhija/loan-payback-system", "kernel_id": "99347524"}, {"ref": "fengyuhui/loan-payback", "kernel_id": "99465030"}, {"ref": "mariusborel/averaged-oof-predictions-loan-paid-back", "kernel_id": "99825432"}, {"ref": "santyagoamaya/payback", "kernel_id": "99934189"}, {"ref": "masayakawamata/s5e11-hill-climbing", "kernel_id": "99553230"}, {"ref": "ceecreative/predicting-loan-payback", "kernel_id": "99412257"}, {"ref": "vh10935cse20/loan-payback-blending", "kernel_id": "99693436"}, {"ref": "francescoalbanesephd/s5e11-loan-payback-3-model-ensemble-simple-v1", "kernel_id": "99709167"}, {"ref": "jmhasan7/s5-e11-predicting-loan-payback", "kernel_id": "99416613"}, {"ref": "nicoletacilibiu/ps5e11-predicting-loan-payback-2", "kernel_id": "99296510"}, {"ref": "akhilpm1996/predicting-loan-payback", "kernel_id": "99294382"}, {"ref": "anthonytherrien/ps-s5e11-residual-neural-network", "kernel_id": "99389853"}, {"ref": "abhishekgodara/s5e11-loan-payback", "kernel_id": "99766154"}, {"ref": "n09nikhil/loan-prediction-visual-eda-smart-features", "kernel_id": "99917398"}, {"ref": "tomasa2/catboost-only-stratifiedkfold-no-fe", "kernel_id": "99021016"}, {"ref": "tomasa2/catboost-only-stratifiedkfold-with-fe", "kernel_id": "99613815"}, {"ref": "realvisheshbhardawaj/weighted-ensemble-aggregator", "kernel_id": "99087359"}, {"ref": "cartoonistbeard/ps5e11-train-on-residual-lb-0-92719", "kernel_id": "99131036"}, {"ref": "clemencetravers/s5-e11-ensemble-stacking", "kernel_id": "99787999"}, {"ref": "arunkumaroraon/blending-model-xgboost-lightgbm", "kernel_id": "99991894"}, {"ref": "artemkonukhov/predict-loan-payback-lgbm", "kernel_id": "99613003"}, {"ref": "artemkonukhov/predict-loan-payback-eda", "kernel_id": "99630276"}, {"ref": "ramikh3/projet", "kernel_id": "99032261"}, {"ref": "llkh0a/i-do-neural-network-so-you-don-t-have-to", "kernel_id": "99331614"}, {"ref": "victusadi/loan-payback-1", "kernel_id": "99315604"}, {"ref": "miclenzy/ensemble-powered-loan-payback-prediction", "kernel_id": "99220950"}, {"ref": "amritanshukush/loan-payback-lgbm-s5e11", "kernel_id": "99907325"}, {"ref": "mahoganybuttstrings/pg-s5e11-bartz-cv-0-92563-lb-0-92642", "kernel_id": "99829188"}, {"ref": "ermecan/predicting-loan-payback-analysis-eda-baseline", "kernel_id": "99962389"}, {"ref": "adityakumarrai0401/predicting-loan-payback-101", "kernel_id": "99976331"}, {"ref": "amirhosseinzandi/predicting-loan-payback-ensemble-model", "kernel_id": "99453520"}, {"ref": "vamsi5132k/loan-predictor-catboost", "kernel_id": "99365259"}, {"ref": "nina2025/ps-s5e11-fifth-glance", "kernel_id": "99470485"}, {"ref": "nina2025/ps-s5e11-h-blend-vs-hill-climbing", "kernel_id": "99647842"}, {"ref": "nina2025/ps-s5e11-fourth-glance", "kernel_id": "99000870"}, {"ref": "nina2025/ps-s5e11-sixth-glance", "kernel_id": "99932142"}, {"ref": "stephentarter/predicting-loan-payback-s5e11", "kernel_id": "99805854"}, {"ref": "shivareddy06/predicting-loan-payback", "kernel_id": "99080460"}, {"ref": "karol05/loan-payback-preds-1", "kernel_id": "99393697"}, {"ref": "shayanzk/loan-payback-prediction", "kernel_id": "99114860"}, {"ref": "adrienthomas/notebook4fcb7933b8", "kernel_id": "99777363"}, {"ref": "adrienthomas/jesus", "kernel_id": "99780124"}, {"ref": "laasen/s5e11-loan-payback-xgb-lgbm-ann", "kernel_id": "99267203"}, {"ref": "vyankateshsirmalwad/loan-approval-playback", "kernel_id": "99094325"}, {"ref": "westleyh/loan-payback-xgbclassifier", "kernel_id": "99775173"}, {"ref": "aridoge13/ensemble-model", "kernel_id": "99857385"}, {"ref": "aridoge13/model-3", "kernel_id": "99569665"}, {"ref": "aridoge13/xgboost-model", "kernel_id": "99272303"}, {"ref": "mohitmishra7461/notebook5071cd4c9c", "kernel_id": "99665042"}, {"ref": "kxnal/high-impact-multi-seed-meta-stacker-pipeline", "kernel_id": "99274044"}, {"ref": "kxnal/predicting-loan-payback", "kernel_id": "99352084"}, {"ref": "milanjohn2000/loan-payback", "kernel_id": "99039310"}, {"ref": "yashwanthkumars2005/predicting-loan-payback", "kernel_id": "99663182"}, {"ref": "anushhanagaraju/weighted-ensemble-0-92731-detailed-anal-651479", "kernel_id": "99215707"}, {"ref": "itsryanshackleton/predicting-loan-payback", "kernel_id": "99293283"}, {"ref": "yashrajujambhale/day-1a-from-prompt-to-action", "kernel_id": "99635097"}, {"ref": "changjianghan/predicting-loan-payback", "kernel_id": "99605340"}, {"ref": "aphoristicartist/pss5e11-gm-solution", "kernel_id": "100821841"}, {"ref": "yekenot/ps-s5-e11-excelformer-pytorch-frame", "kernel_id": "100040231"}, {"ref": "canelikman/plp-with-transformations-xgboost-w-gpu", "kernel_id": "100792759"}, {"ref": "swas06/loanpayback-lightgbmtuning", "kernel_id": "100210550"}, {"ref": "azzamradman/07-lightgbm-xgboost-is-all-you-need", "kernel_id": "100049308"}, {"ref": "mohamedabder/01-eda-predicting-loan-payback", "kernel_id": "100292394"}, {"ref": "aritropal/playground-s5e11", "kernel_id": "100300035"}, {"ref": "nhernandezz/loan-payback-lgbm", "kernel_id": "100067805"}, {"ref": "hanifnoerrofiq/s5e11-xgboost-catboost-ensemble", "kernel_id": "100973312"}, {"ref": "doubleogon/loan-payback-prediction-lgbmclassifier", "kernel_id": "100454332"}, {"ref": "mathieuduverne/ps511-ga-xgb", "kernel_id": "100431827"}, {"ref": "rohanrathod02/predicting-loan-payback-lightgbm-catboost-xgb", "kernel_id": "100819564"}, {"ref": "mariusborel/straightforward-catboost", "kernel_id": "100753088"}, {"ref": "mariusborel/notebook814cf39a00", "kernel_id": "100357748"}, {"ref": "coderjay/loan-payback-prediction", "kernel_id": "100664632"}, {"ref": "priyanshu594/loan-payback-eda-xboost-catboost-lgbm-nn", "kernel_id": "100946190"}, {"ref": "masayakawamata/s5e11-data-generator", "kernel_id": "100084124"}, {"ref": "masayakawamata/s5e11-single-tabm-tuned", "kernel_id": "100375968"}, {"ref": "calebboen/predicting-loan-payback", "kernel_id": "100221280"}, {"ref": "vinod123kumar/predict-loan-payback", "kernel_id": "100733448"}, {"ref": "surajksharma7/loanpayback", "kernel_id": "100884560"}, {"ref": "adityabajracharya/predicting-loan-paybacks", "kernel_id": "100713689"}, {"ref": "victorhrls/loan-payback-eda", "kernel_id": "100330386"}, {"ref": "priyadarshirajeev/loan-payback-prediction-kaggle-playground-2025", "kernel_id": "100912291"}, {"ref": "chiranjeevimchiru/ps-s5e11-lr", "kernel_id": "100411376"}, {"ref": "chiranjeevimchiru/ps-s5e11", "kernel_id": "100404156"}, {"ref": "senthilkvggbn/playground-competition-hubrid-model", "kernel_id": "100133392"}, {"ref": "yousefelshahat2/xgb-lgb-oof-ensemble", "kernel_id": "100496664"}, {"ref": "yousefelshahat2/starter-random-forest", "kernel_id": "100839663"}, {"ref": "chaitanyamundhe/vision-notebook-2-689524", "kernel_id": "100368760"}, {"ref": "realvisheshbhardawaj/weighted-ensemble-2nd-visit", "kernel_id": "100019622"}, {"ref": "mohitsharma231234/s5e11-ann-laon-payback", "kernel_id": "100458650"}, {"ref": "muhammaddanyalmalik/ps-s5e11-blend", "kernel_id": "100394313"}, {"ref": "labibshahriar/ps-s5e11-blend-0-92768", "kernel_id": "100953563"}, {"ref": "labibshahriar/ps-s5e11-0-92767", "kernel_id": "100247862"}, {"ref": "mavis04/predicting-loan-payback", "kernel_id": "100911940"}, {"ref": "amit393/loan-payback", "kernel_id": "100425180"}, {"ref": "dhruvkumar11/credit-risk-prediction", "kernel_id": "100419713"}, {"ref": "victusadi/loan-payback-6", "kernel_id": "100626362"}, {"ref": "victusadi/loan-payback-3", "kernel_id": "100219588"}, {"ref": "victusadi/loan-payback-9", "kernel_id": "100935574"}, {"ref": "victusadi/loan-payback-7", "kernel_id": "100673367"}, {"ref": "prantadhar/notebook603775132c", "kernel_id": "100884662"}, {"ref": "ldausl/top-1-notebook-predicting-loan-payback-eda", "kernel_id": "100595967"}, {"ref": "ldausl/top-1-predicting-loan-payback", "kernel_id": "100594753"}, {"ref": "ldausl/straight-blend-0-92766", "kernel_id": "100594831"}, {"ref": "ldausl/blend-top-1-predicting-loan-payback", "kernel_id": "100594633"}, {"ref": "ldausl/does-predicting-loan-payback", "kernel_id": "100595051"}, {"ref": "alwanadiuntoro/s5e11-single-catboost-0-923-stacking", "kernel_id": "100424430"}, {"ref": "aneevinay/loan-paid-back-experiment-ps5e11", "kernel_id": "100912505"}, {"ref": "xavierbenedict/mastering-loan-default-prediction-eda-0-92-auc", "kernel_id": "100032300"}, {"ref": "suryansh16/predicting-loan-payback", "kernel_id": "100068894"}, {"ref": "burakcivelek/ps-s5e11-lgbm-0-92615", "kernel_id": "100559118"}, {"ref": "razanihababdellatif/ml-powered-loan-payback-prediction", "kernel_id": "100256237"}, {"ref": "hexoaiagent/s5e11-loan-payback-notebook-emily", "kernel_id": "100087483"}, {"ref": "cyj1234/notebookef54b01a3c", "kernel_id": "100476414"}, {"ref": "sumeakash/end-to-end-project-on-loan-paid-back", "kernel_id": "100115808"}, {"ref": "kripakafle/notebookf4c508d490", "kernel_id": "100823393"}, {"ref": "mohitmishra7461/s5e11-get-loan-back-xgb-cuml-te", "kernel_id": "100033352"}, {"ref": "hafsarizvirazik/loan-payback-prediction-full-ml-pipeline-with-fe", "kernel_id": "100915636"}, {"ref": "kirivasans/notebookb5aeb9aa37", "kernel_id": "100396477"}, {"ref": "shauryyadav0072/ps-s5e11-sixth-glance", "kernel_id": "100427685"}, {"ref": "liamarden/predict-by-closest", "kernel_id": "100375803"}, {"ref": "liamarden/ps-s5e11-blend-with-a-little-noise", "kernel_id": "100371061"}, {"ref": "kirtanpatel5/predict-loanpayback", "kernel_id": "100591240"}, {"ref": "sathyz/predicting-loan-payback-s5e11", "kernel_id": "101207641"}, {"ref": "imfundo/predicting-loan-payback-lightgbm-catboost-xgb", "kernel_id": "101546391"}, {"ref": "lunthu/s5e11-xgboost-lightgbm-ensembles", "kernel_id": "101676069"}, {"ref": "riteshmanna/first-try", "kernel_id": "101787175"}, {"ref": "anwarabualhussien/loan-repayment-ordinal-grades-xgboost-ensemble", "kernel_id": "101675235"}, {"ref": "angelsotogarca/r-xgb-predicting-loan-payback", "kernel_id": "101559541"}, {"ref": "rohanrathod02/predicting-loan-payback-eda-adv-fe-ensemble", "kernel_id": "101081238"}, {"ref": "rohansardar/predicting-loan-payback-with-eda-pca-mi", "kernel_id": "101315439"}, {"ref": "priyamsaha17/loan-prediction-using-an-ensemble-of-ml-models", "kernel_id": "101086100"}, {"ref": "mariusborel/categories-count-for-catboost", "kernel_id": "101557144"}, {"ref": "loopassembly/predicting-loan-payback-eda-adv-fe-ensemble", "kernel_id": "101196368"}, {"ref": "adebowaleoluwafemi71/predicting-loan-payback", "kernel_id": "101288585"}, {"ref": "vamshikoorapati/predictloanpayback", "kernel_id": "101746511"}, {"ref": "matejkamenicky/predicting-loan-payback", "kernel_id": "101272437"}, {"ref": "saieppala1104/notebook72ecd3a9ca", "kernel_id": "101833143"}, {"ref": "younusmohamed/70-01-multi-model-benchmark-all-in-one-raw", "kernel_id": "101705150"}, {"ref": "younusmohamed/70-00-complete-eda-predicting-loan-payback", "kernel_id": "101446478"}, {"ref": "oscaryezfeijo/loan-payback-baseline-modeling-cross-validatio", "kernel_id": "101290635"}, {"ref": "anthonytherrien/s5e11-single-xgboost-advanced-fe-optuna", "kernel_id": "101204733"}, {"ref": "youknowjp/predicting-loan-payback", "kernel_id": "101085406"}, {"ref": "ankitsharma224589/notebookc8ec750149", "kernel_id": "101170235"}, {"ref": "keshavchauhan56/loan-paid-back-prediction-xgboost-catboost", "kernel_id": "101865766"}, {"ref": "andreysimonyan/ensemble-xgb-catboost-lightgbm", "kernel_id": "101876579"}, {"ref": "khajanakumar/predictingloanpaybackbykk", "kernel_id": "101150598"}, {"ref": "userpdf/loan-paid-back", "kernel_id": "101472935"}, {"ref": "seddikbenkerrouche/tabm-pseudo-data", "kernel_id": "101520334"}, {"ref": "rattans/simple-logistic-regression", "kernel_id": "101007481"}, {"ref": "saharshmaddi/ps-loan-payback", "kernel_id": "101292211"}, {"ref": "zehradere19/paying-loan-back-xgboost", "kernel_id": "101935847"}, {"ref": "ldausl/top-1-predicting-loan-payback-0-92770-eda", "kernel_id": "101531160"}, {"ref": "manasi197/ps5e11-xgb-lgbm-cb-ensemble-comparison", "kernel_id": "101752214"}, {"ref": "canozensoy/ps-s5e11-xgboost-lightgbm-boost-fusion", "kernel_id": "101219462"}, {"ref": "rickywrq928713765/xgboost-blending-risk-mapping-blind-model", "kernel_id": "101665423"}, {"ref": "digitalbloger/loan-payback-prediction-santu-saha", "kernel_id": "101860007"}, {"ref": "cosmicescape/predicting-loan-payback", "kernel_id": "101902220"}, {"ref": "bhaktivyas123/prediction", "kernel_id": "101810791"}, {"ref": "nina2025/ps-s5e11-hb7g", "kernel_id": "101322647"}, {"ref": "ayushmishrais24a/loan-payback-eda-lightgbm-auc-92-22", "kernel_id": "101027579"}, {"ref": "ayushmishrais24a/prediction-thorugh-my-own-logistic-regression", "kernel_id": "101557715"}, {"ref": "saamhm/high-accuracy-loan-payback-prediction-0-92", "kernel_id": "101441933"}, {"ref": "angelahernan/predicting-loan-payback-lightgbm-catboost-xgb", "kernel_id": "101547417"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "ayeiremolak/prediction-loan-payback-competition", "kernel_id": "101169832"}, {"ref": "utkarshsingh368/notebook6dbdd2c798", "kernel_id": "101824893"}, {"ref": "varshithbs97/predicting-loan-payback", "kernel_id": "101816358"}, {"ref": "msk939865/predicting-loan-payback-with-eda-pca-mi", "kernel_id": "101640816"}, {"ref": "gssreshta/ps-s5e11-blend", "kernel_id": "101697845"}, {"ref": "dinesankv/70-00-complete-eda-predicting-loan-payback", "kernel_id": "101741552"}, {"ref": "anushkabhatt04/women-safety-info-agent", "kernel_id": "101724948"}, {"ref": "sathish220902/notebook13c36519bf", "kernel_id": "101724570"}, {"ref": "kkaransharma/my-notebook", "kernel_id": "101462791"}, {"ref": "cv13j0/back-to-kaggle-lr-predicting-loan-payback", "kernel_id": "102734827"}, {"ref": "yekenot/ps-s5-e11-fttransformer-pytorch-frame", "kernel_id": "102379330"}, {"ref": "yekenot/ps-s5-e11-resnet-pytorch-frame", "kernel_id": "102446819"}, {"ref": "obiaf88/s5e11-loan-paid-back-ensamble-of-models", "kernel_id": "102794656"}, {"ref": "gvalentini/r-loan-payback-prediction", "kernel_id": "102908079"}, {"ref": "wesleyhuan/easy-and-simple-solution-season-5-episode-11", "kernel_id": "102798187"}, {"ref": "ern711/tree-leaf-indexes-as-features", "kernel_id": "102700041"}, {"ref": "kmmmvs/fffffffffffffork-of-s5e11-top-solution", "kernel_id": "102602583"}, {"ref": "danielbeltsazar/loan-payback-prediction-competition", "kernel_id": "102655550"}, {"ref": "lauvfpitipak/predicting-loan-payback-v-2", "kernel_id": "102855527"}, {"ref": "lauvfpitipak/predicting-loan-payback", "kernel_id": "102839286"}, {"ref": "chinmayadatt/loan-payback-autogluon-model", "kernel_id": "102761316"}, {"ref": "saranshvashistha/loan-payback-prediction-eda", "kernel_id": "102955874"}, {"ref": "nhernandezz/lgbm-target-encoding", "kernel_id": "102725549"}, {"ref": "christoforum/loan-prediction-eda-blend-weight", "kernel_id": "102578401"}, {"ref": "xixige/s5e11-loan-payback-xgb-lgbm-ann", "kernel_id": "102264248"}, {"ref": "imanmkhamis/predicting-loan-payback", "kernel_id": "102575054"}, {"ref": "mathieuduverne/s5e11-competitive-ensemble", "kernel_id": "102362728"}, {"ref": "hamzabinbutt/loanpayback", "kernel_id": "102817272"}, {"ref": "rishurajgautam/catboost-optuna-gradually-increase-performance", "kernel_id": "102616284"}, {"ref": "amitkumargope/loan-payback-prediction", "kernel_id": "102336271"}, {"ref": "priyamsaha17/predicting-loan-payback-v2", "kernel_id": "102263881"}, {"ref": "debjeetdas/ensemble-loan-payback", "kernel_id": "102998200"}, {"ref": "ravitejagonnabathula/predicting-loan-payback", "kernel_id": "102393505"}, {"ref": "mariusborel/diabetes-prediction-fe-catboost", "kernel_id": "102927095"}, {"ref": "thalishumbertdroz/https-phik-readthedocs-io-3", "kernel_id": "102270970"}, {"ref": "kisharkrnath/notebook49a20abc40", "kernel_id": "102562519"}, {"ref": "sk23000/catboost-on-competition-data-0-92531", "kernel_id": "102411633"}, {"ref": "richeyjay/loan-payback-eda-logistic", "kernel_id": "102376454"}, {"ref": "miadul/a-complete-end-to-end-implementation", "kernel_id": "102798620"}, {"ref": "sklostermeyer/predicting-loan-payback-sofia-natalee", "kernel_id": "102795351"}, {"ref": "taidoduc/xgbooost-over-residuals-cv-0-927282", "kernel_id": "102793769"}, {"ref": "galalqassas/optimize-nn-model-using-grey-wolf-algorithm", "kernel_id": "102938950"}, {"ref": "ankushnarwade/prediction-using-xgboost-93-accuracy", "kernel_id": "102715208"}, {"ref": "tygryskuyato/predicting-loan-payback", "kernel_id": "102413820"}, {"ref": "shadesh/predicting-loan-payback-playground-s5e11", "kernel_id": "102701288"}, {"ref": "evgendvorkin/raw-cb-privat-0-92388", "kernel_id": "102532522"}, {"ref": "younusmohamed/70-02-multi-level", "kernel_id": "102334343"}, {"ref": "rishabhkannaujiya/loan-payback-prediction-eda-to-ensemble-s5e11", "kernel_id": "102345682"}, {"ref": "carlosmusungu/ai-tutor", "kernel_id": "102672836"}, {"ref": "bahridgr/predicting-loan-payback-kaggle-competition-s5e11", "kernel_id": "102480630"}, {"ref": "angelosmar1/s5e11-lgbm-cv-0-92813-2nd-place", "kernel_id": "102977318"}, {"ref": "abhishekgodara/s5e11-best-score-0-92779", "kernel_id": "102718925"}, {"ref": "abhishekgodara/s5e11-voting-score-0-92774", "kernel_id": "102393627"}, {"ref": "abhishekgodara/s5e11-best-score-0-92773-best-model", "kernel_id": "102294856"}, {"ref": "n09nikhil/loan-payback-s5e11", "kernel_id": "102326175"}, {"ref": "desalperterson/public-data-mixing-0-92776", "kernel_id": "102560296"}, {"ref": "mayapatel4/weight-changed-ensemble", "kernel_id": "102250717"}, {"ref": "mayapatel4/blend-submissions-0-92775", "kernel_id": "102559753"}, {"ref": "mige551/boost-over-residuals-improved", "kernel_id": "102977019"}, {"ref": "mige551/boost-over-residuals", "kernel_id": "102975737"}, {"ref": "mige551/simple-lgbm-model-baseline", "kernel_id": "102970002"}, {"ref": "realvisheshbhardawaj/ensembled-for-you", "kernel_id": "102211334"}, {"ref": "realvisheshbhardawaj/ensemble-horizontal", "kernel_id": "102080743"}, {"ref": "realvisheshbhardawaj/voting", "kernel_id": "102353525"}, {"ref": "realvisheshbhardawaj/voting-ensemble", "kernel_id": "102359029"}, {"ref": "youssefhossni/loan-payback-sgd", "kernel_id": "102773480"}, {"ref": "mohitsharma231234/s5e11-lgbm-target-en-0-9257", "kernel_id": "102672851"}, {"ref": "mohitsharma231234/s5e11-lgbm-target-en", "kernel_id": "102581606"}, {"ref": "muhammaddanyalmalik/fork-of-s5e11-hb11g-2", "kernel_id": "102776806"}, {"ref": "labibshahriar/ps-s5e11-blend-0-92776", "kernel_id": "102472571"}, {"ref": "amguru/loan-payback", "kernel_id": "102459369"}, {"ref": "shaheemshaik/loan-prediction", "kernel_id": "102723187"}, {"ref": "shawneilrodrigues/loan-pay", "kernel_id": "102208387"}, {"ref": "surajthakur21/loan-payback-prediction-complete-ml-pipeline", "kernel_id": "102611536"}, {"ref": "drphilipfowler/loan-payment-prediction", "kernel_id": "102381576"}, {"ref": "seddikbenkerrouche/fork-of-xgb-genutic", "kernel_id": "102908453"}, {"ref": "gandomsoltani/predicting-loan-payback-catboost", "kernel_id": "102258170"}, {"ref": "elasgustavoknaus/loan-payback-s5e11-decision-tree-interpretation", "kernel_id": "102443956"}, {"ref": "amit393/loan-payback068a9a12ec", "kernel_id": "102560207"}, {"ref": "mohitranjan2433/loan-payback", "kernel_id": "102163617"}, {"ref": "kaiffazal/loan-payback-pred", "kernel_id": "102710893"}, {"ref": "yogishkumar/loan-payback-prediction", "kernel_id": "102963834"}, {"ref": "quanudem/notebook11a582b611", "kernel_id": "102714680"}, {"ref": "ldausl/ps-s5e11-hb10g", "kernel_id": "102409211"}, {"ref": "ldausl/top-1-predicting-loan-payback-0-927740", "kernel_id": "102410073"}, {"ref": "tejasdivekar/notebookc483639548", "kernel_id": "102616405"}, {"ref": "tejasdivekar/notebookb3c8235e36", "kernel_id": "102931195"}, {"ref": "tejasdivekar/notebook4adbc544a2", "kernel_id": "102886501"}, {"ref": "rifkybntng/advanced-fe-robust-blending-strategy-top-50", "kernel_id": "102764916"}, {"ref": "sjain600/ss5-ep11-xgboost-model-fe-ce-bins", "kernel_id": "102247363"}, {"ref": "deeplumiere/s5e11-ensemble", "kernel_id": "102250930"}, {"ref": "jaganpradhan0/loan-predication", "kernel_id": "102864484"}, {"ref": "keerthanadwaraka/loan-prize-perdiction", "kernel_id": "102577431"}, {"ref": "mitudru/loan-payback", "kernel_id": "102383402"}, {"ref": "jakkavenkatchandan/loanrepayment-eda-featureengineering-logisticreg", "kernel_id": "102057763"}, {"ref": "lopure/ps-s5e12-lr-realmlp-oof", "kernel_id": "102378246"}, {"ref": "wh1sperleo/notebook98b50e6e29", "kernel_id": "102859807"}, {"ref": "shuaibohng/loan-predict", "kernel_id": "102858152"}, {"ref": "ikbalstudent/loan-pay-prediction", "kernel_id": "102841943"}, {"ref": "soobinjung/pay-back-eda-modeling", "kernel_id": "102438202"}, {"ref": "lakshyachauhan1/predicting-loan-payback", "kernel_id": "102484166"}, {"ref": "isandeep06/loan-payback-prediction-by-lightfbm", "kernel_id": "102682822"}, {"ref": "nina2025/ps-s5e11-hb11g", "kernel_id": "102641252"}, {"ref": "nina2025/ps-s5e11-hb11g-2", "kernel_id": "102685800"}, {"ref": "nina2025/ps-s5e11-hb-vote", "kernel_id": "102358766"}, {"ref": "nina2025/ps-s5e11-hb9g", "kernel_id": "102171439"}, {"ref": "nina2025/ps-s5e11-hb8g", "kernel_id": "102002933"}, {"ref": "nina2025/ps-s5e11-hb10g", "kernel_id": "102241899"}, {"ref": "nina2025/ps-s5e11-hb12g", "kernel_id": "102816390"}, {"ref": "qwerryfiwy/playground", "kernel_id": "102926974"}, {"ref": "manavjoshi5085/loan-payback", "kernel_id": "102151432"}, {"ref": "saireddypothireddy/public-data-combined-0-92770", "kernel_id": "102094044"}, {"ref": "stephentarter/predicting-loan-payback-s5e11-lgbm-nn-blend", "kernel_id": "102188562"}, {"ref": "lalit7881/loan-payback-prediction-ml-eda", "kernel_id": "102953073"}, {"ref": "parishmitasinha/weighted-ensemble-of-gradient-boosting", "kernel_id": "102420572"}, {"ref": "doganatmaca/loanpaidbackdeeplearning0-913", "kernel_id": "102992199"}, {"ref": "vishwakinnal/predicting-loan-payback-2", "kernel_id": "102237383"}, {"ref": "mohankrishnathalla/predicting-loan-payback", "kernel_id": "102795327"}, {"ref": "saamhm/s5e11-cat-boost-meta-feature", "kernel_id": "102430592"}, {"ref": "shayanzk/battery-drain-analysis-using-ml", "kernel_id": "102362329"}, {"ref": "zak139/notebook068c5ca0e4", "kernel_id": "102648316"}, {"ref": "tecemono/asdfg", "kernel_id": "102852828"}, {"ref": "seeingoh/pay-back-your-money", "kernel_id": "102447417"}, {"ref": "matteocunha/loan-predicting-payback-competition", "kernel_id": "102370751"}, {"ref": "hardbit43/notebook562dd38d07", "kernel_id": "102607445"}, {"ref": "lucadvs/xgboost-gridsearchcv", "kernel_id": "102105051"}, {"ref": "evgeniiasilchenko/notebook3c5e007488", "kernel_id": "102795350"}, {"ref": "wardiutari/wardi-s-loan-payback-stacking-model", "kernel_id": "102308133"}, {"ref": "wardiutari/wardi-loan-payback-feature-expansion", "kernel_id": "102662394"}, {"ref": "choppagunasundar/lps-guna", "kernel_id": "102209170"}, {"ref": "aridoge13/model-catboost-lgbm", "kernel_id": "102752898"}, {"ref": "garrepalliruwankumar/loan-payback-v1", "kernel_id": "102244811"}, {"ref": "sanesh764496/s5e11-predicting-loan-payback-with-xgb", "kernel_id": "102528399"}, {"ref": "sanesh764496/loan-payback-prediction-catboost", "kernel_id": "102526958"}, {"ref": "jyothipothuraju/loan-payback", "kernel_id": "102447824"}, {"ref": "esth1liu/pay-back-loan", "kernel_id": "102521781"}, {"ref": "esth1liu/pay-back-loan-eda2", "kernel_id": "102560959"}, {"ref": "scirpus/jeepyloan", "kernel_id": "103443942"}, {"ref": "swas06/diabeticprediction-xgboost", "kernel_id": "103270123"}, {"ref": "mumtazrahmani/loan-payback-prediction", "kernel_id": "103017531"}, {"ref": "rishurajgautam/think-like-data-scientist-credit-risk-prediction", "kernel_id": "103189052"}, {"ref": "mariusborel/cat-xgboost-voting-on-diabetes", "kernel_id": "103831053"}, {"ref": "nirumma/predicting-loan-payback", "kernel_id": "103780907"}, {"ref": "abhishekgodara/final-s5e11-after-submission-score-0-92899", "kernel_id": "103009343"}, {"ref": "lakhindarpal/diabetes-prediction-challenge-eda-ensemble", "kernel_id": "103013829"}, {"ref": "leaders24/notebook9aa6a3aedb", "kernel_id": "103054570"}, {"ref": "mahoganybuttstrings/pg-s5e11-xgb-cv-0-92818-pb-0-92923", "kernel_id": "103021142"}, {"ref": "ikrokx0409/loan-payback-xgb-lgbm-cb-pytorch-mlp", "kernel_id": "103302625"}, {"ref": "charlesm85/predicting-loan-payback", "kernel_id": "103535558"}, {"ref": "ethanrivera1/ps-s5e11-blend-change", "kernel_id": "103007963"}, {"ref": "macisalvsalv/predicting-loan-payback-ipynb", "kernel_id": "104018098"}, {"ref": "galalqassas/loan-payback-optimizing-hidden-neurons", "kernel_id": "104424828"}, {"ref": "abhishekgodara/ps-s5e11-xgb-lgb-ensemble", "kernel_id": "104473207"}, {"ref": "vishalpatwa/loan-payback", "kernel_id": "104760523"}, {"ref": "anhadmahajan06/predicting-loan-payback", "kernel_id": "104873314"}, {"ref": "lunodiaz/first-test", "kernel_id": "104974207"}, {"ref": "dhrubangtalukdar/loan-xg", "kernel_id": "105495367"}, {"ref": "francescoalbanesephd/s5e12-diabetes-gbm-ensemble-v1", "kernel_id": "105598049"}, {"ref": "yashpalthakor/pytorch-loan-payback", "kernel_id": "105769476"}, {"ref": "pradeeplachireddy/loanpayback", "kernel_id": "105948659"}, {"ref": "aminrezabahrami/payback-pytorch", "kernel_id": "105253812"}, {"ref": "zayl001/loan-payback-catbosst-lightgbm-xgboost", "kernel_id": "105462749"}, {"ref": "leaders24/catboost-on-competition-data-0-92531", "kernel_id": "105535846"}, {"ref": "zafarali27/s5e11-loan-payback-catbosst-lightgbm-xgboost", "kernel_id": "105224429"}, {"ref": "atifkhan12/financial-fraud-analysis", "kernel_id": "105421418"}, {"ref": "unikaghimire/data-preprocessing-and-eda", "kernel_id": "105406114"}, {"ref": "laveshjadon/predicting-loan-payback", "kernel_id": "105183056"}, {"ref": "sonu07022005/class-imbalanced-smote", "kernel_id": "105450707"}, {"ref": "roushankumar045/loanpayback", "kernel_id": "106038321"}, {"ref": "virajsalunke19/predicting-loan-payback", "kernel_id": "106513958"}, {"ref": "oosmansadiq/predicting-loan-payback", "kernel_id": "106096703"}, {"ref": "sidkum3000/loan-payback", "kernel_id": "106649942"}, {"ref": "wolflxchuppy/predict-loan-payback", "kernel_id": "107332304"}, {"ref": "aminrezabahrami/payback-xgboost", "kernel_id": "107484220"}, {"ref": "c1qrua/predicting-loan-payback", "kernel_id": "107879586"}, {"ref": "rrrepatiti/loan-prediction-project", "kernel_id": "107395730"}, {"ref": "unikaghimire/model-training", "kernel_id": "107677425"}, {"ref": "yogendrabs/playground-loan-paybacks5e11", "kernel_id": "107326330"}, {"ref": "payaldhokane/predicting-loan-payback", "kernel_id": "107114123"}, {"ref": "pushkar424/beginner-ml-with-voting-classifier", "kernel_id": "107553466"}, {"ref": "tungnhitran/ps6e2-ensemble-xgboost-lightgbm-catboost", "kernel_id": "108524552"}, {"ref": "sevvalclalcebeciolu/predicting-loan-payback-binary-classification", "kernel_id": "108480994"}, {"ref": "sametkrcan/loan-payback-eda-regression-score-0-9326", "kernel_id": "109525350"}, {"ref": "ollilasimiyu/loan-prediction-competition", "kernel_id": "109593035"}, {"ref": "shayanzk/e-commerce-data-analysis", "kernel_id": "110624094"}, {"ref": "osmanozcanli/predictingloanpayback", "kernel_id": "110223270"}, {"ref": "ericemerich/predicting-loan-payback-xgbclassifier", "kernel_id": "111275317"}, {"ref": "yuua201/notebook-loan-payback", "kernel_id": "111835251"}, {"ref": "paulina2001/predicting-loan-payback-loan-prediction-lgbm", "kernel_id": "111333877"}, {"ref": "nihalba/predicting-loan-payback-binary-classification", "kernel_id": "113622825"}, {"ref": "sushmichukka/predicting-loan-payback-eda", "kernel_id": "113823680"}, {"ref": "qwikfix/s5e11-lgbm-cv-0-92813-2nd-place", "kernel_id": "114448222"}, {"ref": "omeraydin1/loan-payback", "kernel_id": "114294627"}, {"ref": "josephmuturi/predicting-loan-payback-binary-classification", "kernel_id": "114244745"}, {"ref": "tugcebasyigit/predicting-loan-payback", "kernel_id": "115953216"}, {"ref": "sarahpike1/loan-payback-11-xgboost", "kernel_id": "116814042"}, {"ref": "sarahpike1/loan-payback-10", "kernel_id": "116812701"}, {"ref": "sarahpike1/loan-payback-9", "kernel_id": "116809182"}, {"ref": "sarahpike1/loan-payback-8", "kernel_id": "116805199"}, {"ref": "verzol/ba-se511-predicting-loan-payback", "kernel_id": "116596413"}, {"ref": "alexanderredkov/ps-s5e11-loan-payback-catboost", "kernel_id": "117329482"}, {"ref": "birgulacar89/prediction-of-loan-payback", "kernel_id": "118332587"}, {"ref": "chfaisalmunir/predicting-loan-payback-eda-lr-auc-0-91", "kernel_id": "121073031"}, {"ref": "tfl500866281/notebook067951f663", "kernel_id": "125367561"}, {"ref": "tfl500866281/notebook1bc9dd1b86", "kernel_id": "125165140"}, {"ref": "zqx960151285/predicting-loan-payback", "kernel_id": "129302641"}, {"ref": "leonchani/99-scratch-eda-modeleval-jap-predictloanpayback", "kernel_id": "130196697"}, {"ref": "leonchani/99-scratch-optuna-jap-predictloanpayback", "kernel_id": "131581181"}, {"ref": "leonchani/02-lgbm-optuna-predicting-smartphone-addiction", "kernel_id": "133167856"}, {"ref": "leonchani/01-eda-predicting-smartphone-addiction", "kernel_id": "133165043"}]}
{"competition_id": "91723", "kernels": [{"ref": "lopure/ps-s5e12-gradient-boosting-tabm", "kernel_id": "77234039"}, {"ref": "mariusborel/eda-gboost-predicted-calories", "kernel_id": "82029326"}, {"ref": "johnkihoro/diabetes-eda-neuralnet-diagnosis-prediction", "kernel_id": "87452405"}, {"ref": "manavjoshi5085/toxic-chat-detection-model", "kernel_id": "94446569"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "mariusborel/diabetes-prediction-fe-catboost", "kernel_id": "102927095"}, {"ref": "lopure/ps-s5e12-lr-realmlp-oof", "kernel_id": "102378246"}, {"ref": "benranum/stacking-sgd-lgbm-and-catboost-score-0-69831", "kernel_id": "103475611"}, {"ref": "onodera/s5e12-gpu-accelerated-gbdt-benchmark", "kernel_id": "103863464"}, {"ref": "aphoristicartist/ps-s5e12-diabetes-ultimate-guide-eda-fe-ensemble", "kernel_id": "103655578"}, {"ref": "aphoristicartist/robust-eda-drift-free-s5e12", "kernel_id": "103103141"}, {"ref": "usharengaraju/rapids-cuml", "kernel_id": "103888200"}, {"ref": "narsil/knai-ps-s5e12-lightgbm-xgboost-with-10-fold-cv", "kernel_id": "103083223"}, {"ref": "lunthu/s5e12-rf-logistic-regression-gradient-boosting", "kernel_id": "103033245"}, {"ref": "cv13j0/diabetes-prediction-lr-gbdt-nn", "kernel_id": "103428230"}, {"ref": "sangeetha007/second-trial", "kernel_id": "103398892"}, {"ref": "sangeetha007/first-trial", "kernel_id": "103306140"}, {"ref": "sangeetha007/9th-trial", "kernel_id": "103597448"}, {"ref": "siukeitin/ps-s5e12-optuna-xgboost-tpu-v5e-8", "kernel_id": "103784681"}, {"ref": "kritidoneria/tps-s5e12-ydf-with-pseudo-labelling", "kernel_id": "103467939"}, {"ref": "docxian/ps-s5-e12-diabetes-prediction-autogluon", "kernel_id": "103476373"}, {"ref": "smsxgz/random-forest-hyperparameter-tuning", "kernel_id": "103618265"}, {"ref": "sakuno/s5e12-eda-single-fold-ensemble-lgbm-xgb-cat", "kernel_id": "103191690"}, {"ref": "sakuno/s5e12-eda-5-folds-ensemble-lgbm-xgb-cat", "kernel_id": "103075262"}, {"ref": "ishwor2048/diabetes-prediction-lgb-with-robust-data-visuals", "kernel_id": "103920174"}, {"ref": "makrrc/diabetes-prediction-challenge-submit-prediction", "kernel_id": "103694953"}, {"ref": "wesleyhuan/easy-and-simple-solution-season-5-episode-12", "kernel_id": "103170444"}, {"ref": "danigarci1/s5e12-eda-optuna-tuning-shap-model-insights", "kernel_id": "103254005"}, {"ref": "maiernator/xgb-catb-optuna-fe-and-cv", "kernel_id": "103397342"}, {"ref": "stpeteishii/diabetes-prediction-using-autogluon", "kernel_id": "103398402"}, {"ref": "stpeteishii/orginal-diabetes-prediction-using-autogluon", "kernel_id": "103654168"}, {"ref": "tungdang1108/diabetes-prediction-explainable-ml", "kernel_id": "103617321"}, {"ref": "dileepsahu/eda-feature-importance-predication-xg-boost", "kernel_id": "103205147"}, {"ref": "mpwolke/diabetes-decision-tree-prediction", "kernel_id": "103009428"}, {"ref": "franro/exploratory-diabetes-analysis", "kernel_id": "103051628"}, {"ref": "kumarkatariya/baseline-xgb", "kernel_id": "103040546"}, {"ref": "mysha1rysh/eda-diabetes-prediction", "kernel_id": "103193628"}, {"ref": "kkhandekar/predicting-diabetes-histgradientboosting-clf", "kernel_id": "103226206"}, {"ref": "johnsonhk88/diabetes-prediction-ml", "kernel_id": "103343514"}, {"ref": "brixhilda/diabetes-prediction-challenge", "kernel_id": "103878959"}, {"ref": "xjoannax88/diabeties-prediction-eda-and-prediction", "kernel_id": "103048751"}, {"ref": "kdmitrie/pgs512-xgb-lgb-ydf-tabm-ag-fe-cv-optuna", "kernel_id": "103062437"}, {"ref": "yeonseokcho/diabetes-prediction-xlc", "kernel_id": "103963609"}, {"ref": "simonrba/diabetes-starter-xgboost-lightgbm-and-catboost", "kernel_id": "103042751"}, {"ref": "synchrocyclotron/baseline-catboost", "kernel_id": "103272557"}, {"ref": "dewanggadh/notebookf8d016fe45", "kernel_id": "103437005"}, {"ref": "hopesb/diabetes-prediction-challenge", "kernel_id": "103214794"}, {"ref": "swas06/diabeticprediction-xgbclassifier", "kernel_id": "103370684"}, {"ref": "swas06/diabeticprediction-xgboost", "kernel_id": "103270123"}, {"ref": "swas06/diabeticsprediction-eda", "kernel_id": "103153567"}, {"ref": "swas06/diabeticprediction-lgbmtrail1", "kernel_id": "103751954"}, {"ref": "manojkumars00/diabetes-prediction-simple-nn", "kernel_id": "103059037"}, {"ref": "manojkumars00/diabetes-prediction-ft-transformer", "kernel_id": "103095272"}, {"ref": "manojkumars00/diabetes-prediction-eda", "kernel_id": "103041742"}, {"ref": "manojkumars00/diabetes-prediction-submission", "kernel_id": "103098017"}, {"ref": "tracyporter/play-5-12-catboost-no-kolmogorov", "kernel_id": "103088293"}, {"ref": "learnmore1/diabetes-eda-lightgbm-baseline-gpt", "kernel_id": "103602287"}, {"ref": "robertghennessy/diabetes-eda-compare-xgb-and-catboost", "kernel_id": "103766943"}, {"ref": "zhukovoleksiy/s5e12-exploring-fe-optuna-ensemble", "kernel_id": "103096496"}, {"ref": "vishalrawat0/diabetes-risk-analysis-deep-eda-lightgbm-model", "kernel_id": "103081964"}, {"ref": "jimgruman/diabetes-prediction", "kernel_id": "103020869"}, {"ref": "vladimirmijatovic/python-eda", "kernel_id": "103156622"}, {"ref": "vladimirmijatovic/diabetes-prediction-h2o-baseline-r", "kernel_id": "103049103"}, {"ref": "vladimirmijatovic/diabetes-simple-xgboost-r", "kernel_id": "103071659"}, {"ref": "nhernandezz/eda-diabetes-challenge", "kernel_id": "103078673"}, {"ref": "avisceral8/diabetes-smolagent", "kernel_id": "103242316"}, {"ref": "jocelyndumlao/diabetes-prediction-eda-weighted-blend", "kernel_id": "103245766"}, {"ref": "jocelyndumlao/s5e12-diabetes-roc-analysis-ensemble-strategy", "kernel_id": "103326642"}, {"ref": "shubham1111/s5e12-end-to-end-eda", "kernel_id": "103028256"}, {"ref": "swarnabh31/ultimate-eda-for-diabetes-prediction-dataset", "kernel_id": "103703222"}, {"ref": "swarnabh31/experiment-comprehensive-feature-engineering", "kernel_id": "103609215"}, {"ref": "barbagrande007/bbg007-diabetes-catboost", "kernel_id": "103726630"}, {"ref": "hardikmakhija/diabetes-prediction-challenge", "kernel_id": "103861675"}, {"ref": "ravi20076/playgrounds5e12-adversarialcv", "kernel_id": "103382380"}, {"ref": "ravi20076/playgrounds5e12-public-baseline-v2", "kernel_id": "103017210"}, {"ref": "ravi20076/playgrounds5e12-public-baseline-v1", "kernel_id": "103011160"}, {"ref": "ravi20076/playgrounds5e12-public-imports-v1", "kernel_id": "103010805"}, {"ref": "ravi20076/playgrounds5e12-public-baseline-v3", "kernel_id": "103044008"}, {"ref": "ravi20076/playgrounds5e12-public-baseline-v4", "kernel_id": "103064831"}, {"ref": "dranilkumardubey/step2step-diabetes-predict", "kernel_id": "103280017"}, {"ref": "dranilkumardubey/fork-of-hybrid-model-based-diabetes-prediction", "kernel_id": "103238177"}, {"ref": "klyushnik/s5e12-blendroc-0-69696", "kernel_id": "103781079"}, {"ref": "thuandao/overview-of-diabetes-eda-no-ml", "kernel_id": "103154668"}, {"ref": "angelsotogarca/diabetes-prediction-challenge-r-glm-lgbm-xgb", "kernel_id": "103080582"}, {"ref": "amitkumargope/diabetes-prediction-challenge-v1-0", "kernel_id": "103169790"}, {"ref": "sohonsagarsingha/diabetes-xgb-lgbm-cat", "kernel_id": "103372187"}, {"ref": "uuratl/lgbm-and-cat-kfold-10-score-0-69717", "kernel_id": "103947675"}, {"ref": "rv1922/diabetes-prediction-autogluon-roc", "kernel_id": "103249385"}, {"ref": "rv1922/roc-optimized-classification-pipeline-xgb", "kernel_id": "103015672"}, {"ref": "rv1922/diabetes-diagnostics-end-to-end-eda", "kernel_id": "103017817"}, {"ref": "rv1922/diabetes-prediction-lgbm-baseline", "kernel_id": "103022618"}, {"ref": "rv1922/diabetics-prediction-ensemble-models", "kernel_id": "103388398"}, {"ref": "rv1922/ensemble-driven-diabetes-risk-classifier", "kernel_id": "103850202"}, {"ref": "rohanrathod02/diabetes-prediction-eda-adv-fe-ensemble", "kernel_id": "103546246"}, {"ref": "lokeshvns/feedforwardneuralnetwork", "kernel_id": "103813533"}, {"ref": "rohansardar/diabetes-prediction-using-stackingclassifier", "kernel_id": "103020427"}, {"ref": "rohansardar/ps-s5e12-diabetes-prediction-xgboost-skf", "kernel_id": "103228356"}, {"ref": "alirezakhajehvandi/akh-diabetes-prediction-eda-vis-model-eval", "kernel_id": "103106269"}, {"ref": "ravitejagonnabathula/diabetes-prediction-challenge-eda", "kernel_id": "103009530"}, {"ref": "ankushmehta1234567/advanced-eda-diabetes-pred", "kernel_id": "103367538"}, {"ref": "mariusborel/diabetes-prediction-xgboost", "kernel_id": "103208028"}, {"ref": "mariusborel/lgbm-predicts-diabetes", "kernel_id": "103636343"}, {"ref": "mariusborel/cat-xgboost-voting-on-diabetes", "kernel_id": "103831053"}, {"ref": "gkanamoto/s5e12-catboost", "kernel_id": "103420960"}, {"ref": "gkanamoto/s5e12-xgb-cv-0-73045", "kernel_id": "103225325"}, {"ref": "gkanamoto/s5e12-cv-0-6965", "kernel_id": "103016120"}, {"ref": "tungnhitran/ps5e12-xgboost-lightgbm-catboost", "kernel_id": "103028897"}, {"ref": "thalishumbertdroz/diabetes", "kernel_id": "103498791"}, {"ref": "priyanshu594/diabetes-prediction-eda-lgbm-optuna", "kernel_id": "103032925"}, {"ref": "michaelwachira432/diabetes-pred-challenge", "kernel_id": "103051159"}, {"ref": "margotbonilla/diabetes-prediction", "kernel_id": "103313845"}, {"ref": "masayakawamata/s5e12-eda-xgb-competition-starter", "kernel_id": "103039833"}, {"ref": "francescodemo5/diabetes-challenge-prediction", "kernel_id": "103772556"}, {"ref": "harharharhar/s5e12-diabetes-xgboost-gpu-lgbm-v6-0", "kernel_id": "103043499"}, {"ref": "vijay20213/diabetes-prediction", "kernel_id": "103723464"}, {"ref": "kaibaur/simple-logisticregression-5-feature", "kernel_id": "103595666"}, {"ref": "sharmajicoder/diabetes-prediction-analysis", "kernel_id": "103051900"}, {"ref": "vh10935cse20/diabetics-diagnostics-lgbm-hypertuning-cv", "kernel_id": "103067908"}, {"ref": "vh10935cse20/diabetics-diagnostics-catboost", "kernel_id": "103171739"}, {"ref": "abhayku2002/playground-series-analysis", "kernel_id": "103357673"}, {"ref": "calebboen/diabetes-prediction-ps-s5e12", "kernel_id": "103037685"}, {"ref": "miadul/diabetes-risk-prediction", "kernel_id": "103828632"}, {"ref": "raunakdey07/diabetes-prediction-playground-challenge", "kernel_id": "103172632"}, {"ref": "lucasdataartist/model-baseline-diabetes-prediction-lb-697", "kernel_id": "103600027"}, {"ref": "lucasdataartist/adversarial-validation-diabetes-prediction", "kernel_id": "103525894"}, {"ref": "vishnupriyagarige/diabetes-prediction-challenge", "kernel_id": "103010747"}, {"ref": "rabihalahmadieh/easy-with-good-score", "kernel_id": "103362518"}, {"ref": "galalqassas/optimize-hidden-neurons-using-woa", "kernel_id": "103634359"}, {"ref": "samanfatima7/don-t-trust-the-leaderboard-beginner-s-guide", "kernel_id": "103040931"}, {"ref": "subarnasaikia/public-notebooks-ensemble", "kernel_id": "103098399"}, {"ref": "francescoalbanesephd/s5e12-linear-neural-hybrid-v1", "kernel_id": "103656380"}, {"ref": "soumyadipsikdar/s5e12-tuned-xgb-lgb-optuna-blend", "kernel_id": "103709682"}, {"ref": "aayushiweb/diabetes-prediction-challenge", "kernel_id": "103404167"}, {"ref": "deepika0405/notebook9438c18925", "kernel_id": "103826455"}, {"ref": "michaelkamal92/first-note", "kernel_id": "103009945"}, {"ref": "engineerfrabbi/diabetes-prediction-challenge-02dec", "kernel_id": "103231328"}, {"ref": "marknghk/diabetes-prediction-model-with-feature-engineering", "kernel_id": "103593778"}, {"ref": "hafizmuaz9595/prediction-diabetes", "kernel_id": "103493097"}, {"ref": "itzgauurab/0-70356-best-ensemble-as-of-now", "kernel_id": "103112158"}, {"ref": "itzgauurab/ensemble-score-0-70177", "kernel_id": "103111639"}, {"ref": "pradippokhrel45/diabetes-xgbclassifier", "kernel_id": "103817473"}, {"ref": "pradippokhrel45/diabetes-lgbclassifier", "kernel_id": "103970723"}, {"ref": "amri11/diabetes-prediction-pipeline-ml", "kernel_id": "103133424"}, {"ref": "alirezasaei/diabetes-predictor", "kernel_id": "103655889"}, {"ref": "younusmohamed/71-01-multi-model-benchmark-diabetes-prediction", "kernel_id": "103341254"}, {"ref": "younusmohamed/71-00-eda-is-all-you-need-diabetes-prediction", "kernel_id": "103247398"}, {"ref": "younusmohamed/71-02-reconstructing-original-features", "kernel_id": "103772029"}, {"ref": "errajanikantawasthi/diabetes-prediction-rka-score0-7221", "kernel_id": "103449368"}, {"ref": "errajanikantawasthi/rkawasthi2-score0-7221", "kernel_id": "103453274"}, {"ref": "taprgmr/diabetes-prediciton-complete-xgboost-kfold-cv", "kernel_id": "103648189"}, {"ref": "sdeogade/sugar-prediction", "kernel_id": "103140387"}, {"ref": "sudhanshu3112/diabetes-prediction-xgb-baseline-eda", "kernel_id": "103092566"}, {"ref": "rishabhkannaujiya/s5e12-advanced-fe-optuna-5x-xgb-5x-lgbm", "kernel_id": "103191406"}, {"ref": "anthonytherrien/ps-s5e12-blend", "kernel_id": "103144931"}, {"ref": "anthonytherrien/ps-s5e12-residual-neural-network", "kernel_id": "103493454"}, {"ref": "anthonytherrien/ps-s5e12-xgboost", "kernel_id": "103732268"}, {"ref": "patelparth3399/diabetes-prediction-challenge-lgbm-catb-xgb", "kernel_id": "103066984"}, {"ref": "lawalfathiah/diabetes-prediction", "kernel_id": "103407720"}, {"ref": "khangtran94vn/diabetes-full-eda-ml-models", "kernel_id": "103819936"}, {"ref": "esmanurcan/s5e12-1", "kernel_id": "103656292"}, {"ref": "westoon/pg-5-12-xgb-lgb-cat-kfold", "kernel_id": "103845827"}, {"ref": "abhishekgodara/ps-s5e12-blending-score-70-356", "kernel_id": "103106716"}, {"ref": "abhishekgodara/s5e12-blend-method-score-0-70366", "kernel_id": "103195978"}, {"ref": "abhishekgodara/s5e12-first-entry", "kernel_id": "103010667"}, {"ref": "abhishekgodara/s5e12-using-autogluon-score-0-69837", "kernel_id": "103044936"}, {"ref": "n09nikhil/simple-submisison-s5e15-3-models", "kernel_id": "103052507"}, {"ref": "n09nikhil/blending-0-70359-ps-s5e12", "kernel_id": "103244458"}, {"ref": "n09nikhil/top-15-0-70372-blending", "kernel_id": "103588371"}, {"ref": "kaap10/diabetes-prediction-optuna-tuned-xgboost", "kernel_id": "103753267"}, {"ref": "kaap10/diabetes-prediction-eda-xgboost", "kernel_id": "103346498"}, {"ref": "tomasa2/target-encoding-lightgbm-xgboost-catboost-nn", "kernel_id": "103740039"}, {"ref": "tomasa2/diabetes-prediction-fe-xgboost", "kernel_id": "103321090"}, {"ref": "tomasa2/baseline-lightgbm-xgboost-catboost", "kernel_id": "103452349"}, {"ref": "mastershomya/pgs5ep12-catboost-optuna-oof-prediction", "kernel_id": "103286180"}, {"ref": "mastershomya/pgs5ep12-lgbm-optuna-oof-predictions", "kernel_id": "103278932"}, {"ref": "mastershomya/pgs5ep12-xgboost-optuna-oof-predictions", "kernel_id": "103182660"}, {"ref": "mastershomya/ps5ep12-guide-to-use-lightautoml-like-a-pro", "kernel_id": "103451462"}, {"ref": "mastershomya/pgs5ep12-neural-network-optuna-oof-predictions", "kernel_id": "103297815"}, {"ref": "alielkline/ml-pipeline-for-diabetes-risk-prediction", "kernel_id": "103261258"}, {"ref": "lakhindarpal/diabetes-prediction-challenge-eda-ensemble", "kernel_id": "103013829"}, {"ref": "lakhindarpal/ps-s5e12-optuna-hyperparameter-tuned-catboost", "kernel_id": "103427040"}, {"ref": "lakhindarpal/ps-s5e12-optuna-hyperparameter-tuned-xgboost", "kernel_id": "103451340"}, {"ref": "lakhindarpal/ps-s5e12-optuna-hyperparameter-tuned-lightgbm", "kernel_id": "103372707"}, {"ref": "lakhindarpal/ps-s5e12-optuna-hypertuned-pytorch-tabnet", "kernel_id": "103592779"}, {"ref": "lakhindarpal/ps-s5e12-optuna-hyperparameter-tuned-histgb", "kernel_id": "103763358"}, {"ref": "harshgupta4444/diabetes-prediction-eda-kaggle-playground-s5e12", "kernel_id": "103063214"}, {"ref": "harshgupta4444/feature-engineering-randomforest-vs-xgboost", "kernel_id": "103069139"}, {"ref": "koushikkumardinda/diabetes-prediction-challenge", "kernel_id": "103017974"}, {"ref": "kirikiti/logistic-reg-theory-e5s12", "kernel_id": "103039370"}, {"ref": "kirikiti/xgb-isolation-forest-e5s12", "kernel_id": "103049259"}, {"ref": "kirikiti/e5s12-stacked-logistic-models", "kernel_id": "103732403"}, {"ref": "srisyra02/diabetes-diagnosis-prediction", "kernel_id": "103541704"}, {"ref": "shahbodsobhkhiz/diabetes-ensemble-learning-feature-engineering", "kernel_id": "103865169"}, {"ref": "adamthomas11/s5e12-diabetes-prediction-catboost-optuna", "kernel_id": "103975861"}, {"ref": "adamthomas11/s5e12-diabetes-prediction-eda", "kernel_id": "103093111"}, {"ref": "adamthomas11/s5e12-diabetes-prediction-lgbm-optuna", "kernel_id": "103173889"}, {"ref": "mohitsharma231234/s5e12-xgboost-diabetes-prediction-0-6962", "kernel_id": "103193356"}, {"ref": "mohitsharma231234/s5e12-feature-en-lightgbm", "kernel_id": "103533996"}, {"ref": "mohitsharma231234/fork-of-s5e12-lightgbm-diabetes-prediction", "kernel_id": "103363001"}, {"ref": "zacharymcollins/s5e12-thorough-eda-and-baseline-evaluation", "kernel_id": "103885732"}, {"ref": "highvariannce/diabetic-predictor-simple-xgboost-mltoolhub", "kernel_id": "103840111"}, {"ref": "anikpanja/lgbm-ensemble-with-fe", "kernel_id": "103233092"}, {"ref": "rayhanislamhridoy/simple-univariate-eda", "kernel_id": "103333977"}, {"ref": "rayhanislamhridoy/beginner-friendly-logistic-regression-model-0-68", "kernel_id": "103802728"}, {"ref": "sebastiansteuer/diabetes-prediction-rf-pipline", "kernel_id": "103492041"}, {"ref": "jaideepmurthy3356/notebook4c49146eb4", "kernel_id": "103645127"}, {"ref": "vandanakumari14/diabetes-prediction-catboost-lgbm-xgb-blend", "kernel_id": "103385007"}, {"ref": "vandanakumari14/diabetes-prediction-baseline-model-10-fold-cv", "kernel_id": "103237833"}, {"ref": "fall2fire/diabetes-prediction-challenge-accuracy-66", "kernel_id": "103388494"}, {"ref": "muhammaddanyalmalik/12-folds-lightgbm-xgboost-catboost", "kernel_id": "103159489"}, {"ref": "muhammaddanyalmalik/diabetes-prediction-s5e12-eda-insights", "kernel_id": "103099548"}, {"ref": "pamalkrmondal/diabetes-prediction-challenge-playground-series", "kernel_id": "103468735"}, {"ref": "labibshahriar/ps-s5e12-all-eda", "kernel_id": "103193749"}, {"ref": "revatisn/s5-e12-xgb-cat-et-rf", "kernel_id": "103347707"}, {"ref": "revatisn/s5-e12-mlp-gb", "kernel_id": "103245223"}, {"ref": "revatisn/s5-e12-xgb", "kernel_id": "103144924"}, {"ref": "revatisn/s5-e12-xgb-gb-lgb", "kernel_id": "103162609"}, {"ref": "arunkumaroraon/xgb-lgb-optuna-parameters", "kernel_id": "103231111"}, {"ref": "asgharhussainparvi/diabeties-prediction", "kernel_id": "103625046"}, {"ref": "harrykesh/starter-eda-season-5-ep-12-new-findings", "kernel_id": "103047503"}, {"ref": "harrykesh/xgb-lgbm-automated-lb-0-70", "kernel_id": "103478325"}, {"ref": "drphilipfowler/s5e12-diabetes-ridge-regression-blend", "kernel_id": "103095313"}, {"ref": "bhaskarmishra44796/dpc-ps5e12-baseline-lgbm-xgb-cat", "kernel_id": "103052991"}, {"ref": "elasgustavoknaus/diabetes-pred-eda-optuna-ensemble-mod-s5e12", "kernel_id": "103275543"}, {"ref": "mohitwarke03/predicting-diabetes-using-logistic-regression-ran", "kernel_id": "103708495"}, {"ref": "yusufmurtaza01/ensembeling-xgb-lgbm-cb", "kernel_id": "103338720"}, {"ref": "yusufmurtaza01/s5-e12-diabetes-prediction-ensemble", "kernel_id": "103242610"}, {"ref": "yusufmurtaza01/s5-e12-eda-training", "kernel_id": "103074739"}, {"ref": "liamislazy/diabetes-prediction-challenge", "kernel_id": "103016139"}, {"ref": "moridata/diabetes-prediction-eda-xgb-catb", "kernel_id": "103036374"}, {"ref": "kirandesaikinvig/eda-and-plots-for-diabetes-playground", "kernel_id": "103594066"}, {"ref": "patrykszcz/lr-meta-model-xgb-lgb", "kernel_id": "103768367"}, {"ref": "thekapiswild/stacking-s5-ep-12", "kernel_id": "103172054"}, {"ref": "ldausl/top-1-diabetes-prediction-challenge-eda-guide", "kernel_id": "103082908"}, {"ref": "ldausl/ps-s5e12-0-35-and-0-65", "kernel_id": "103224300"}, {"ref": "ldausl/diabetes-prediction-solution-eda-insight", "kernel_id": "103224630"}, {"ref": "ldausl/top-1-diabetes-prediction-challenge", "kernel_id": "103113883"}, {"ref": "yashdev01/a-to-z-eda-diabetes-prediction", "kernel_id": "103195146"}, {"ref": "yashdev01/diabetes-prediction-challenge", "kernel_id": "103059234"}, {"ref": "manasi197/s5e12-ensemble-catboost-xgboost-lgb", "kernel_id": "103874228"}, {"ref": "manasi197/s5e12-eda-xgboost-original-data", "kernel_id": "103729495"}, {"ref": "i0nlyaziz/diabetes-prediction-xgb-fe", "kernel_id": "103550912"}, {"ref": "amritanshukush/diabetes-diagnosis-lgbm-s5e12", "kernel_id": "103171638"}, {"ref": "amritanshukush/s5e12-eda-ensemble-diabetes-diagnosis", "kernel_id": "103190460"}, {"ref": "coadanas/diabetes-prediction-stacking-ensemble-auc", "kernel_id": "103672449"}, {"ref": "faruktekin/s5e12-diabetes-prediction-xgboost-optuna", "kernel_id": "103400872"}, {"ref": "ocwerfrancis/diabetes-prediction-5e12-first-entry", "kernel_id": "103028914"}, {"ref": "skarin/s5e12-diabetes-prediction-lgbm-conservative", "kernel_id": "103660955"}, {"ref": "rifkybntng/ps-s5e12-base-model", "kernel_id": "103637080"}, {"ref": "rifkybntng/diabetic-prediction-ensemble", "kernel_id": "103521951"}, {"ref": "aiexplorer77/diabetes-prediction", "kernel_id": "103051715"}, {"ref": "camilochart/diabetes-prediction-eda-and-others-datasets", "kernel_id": "103607241"}, {"ref": "maityritwik/xgboost-hyperparameter-tuning", "kernel_id": "103527765"}, {"ref": "iliaselamrani54/complete-eda-with-visualizations-insights", "kernel_id": "103198542"}, {"ref": "atifkhan12/diabetes-prediction", "kernel_id": "103506952"}, {"ref": "harshsharma2704/diabetes-prediction", "kernel_id": "103356276"}, {"ref": "albab12/top-34-solution", "kernel_id": "103160265"}, {"ref": "chiragsharma1201/diabetes-prediction-challenge", "kernel_id": "103477696"}, {"ref": "darshanthakare/lgbmclassifier-and-tuning-with-optuna", "kernel_id": "103156777"}, {"ref": "canozensoy/ps-s5e12-lightgbm-xgboost-with-10-fold-cv", "kernel_id": "103054448"}, {"ref": "vibuthisen/eda-baseline", "kernel_id": "103028806"}, {"ref": "shivams811/diabetes-prediction-ps5e12-lgbm-optuna", "kernel_id": "103132072"}, {"ref": "hardikjainharsora1/diabetes-prediction-challenge", "kernel_id": "103653412"}, {"ref": "sahrul99gunawan/model-denoising-autoencoder-dae-s5e12", "kernel_id": "103289959"}, {"ref": "sahrul99gunawan/fork-of-model-denoising-autoencoder-dae-s5e12", "kernel_id": "103294657"}, {"ref": "sandeepmadanu/diabetes-prediction-2", "kernel_id": "103720527"}, {"ref": "sandeepmadanu/diabetes-prediction", "kernel_id": "103714943"}, {"ref": "kospintr/diabetes-xgb-hgb-lgbm-catb-ensemble-k-fold", "kernel_id": "103746221"}, {"ref": "rickywrq928713765/diabetes-stacking-ensemble", "kernel_id": "103021394"}, {"ref": "lopure/starter-eda-lightgbm-oof-auc-0-69", "kernel_id": "103013100"}, {"ref": "adrianosayegdeluca/diabetesprediction", "kernel_id": "103601385"}, {"ref": "patrickgress/diabetes-prediction", "kernel_id": "103567911"}, {"ref": "amirhosseinzandi/diabetes-prediction-stacking-ensemble", "kernel_id": "103043219"}, {"ref": "ramanpandey976/diabetes-prediction", "kernel_id": "103465751"}, {"ref": "ianteigen/diabetes-prediction-challenge-full-eda", "kernel_id": "103029154"}, {"ref": "palaktrivedi/diabetes-prediction", "kernel_id": "103339900"}, {"ref": "mdferozahmedafm/diabetes-prediction-eda-modeling-weighted-blen", "kernel_id": "103584207"}, {"ref": "abhishekawasthi151/diabetes-prediction-challenge", "kernel_id": "103163041"}, {"ref": "abhishekawasthi151/auc-and-xgboost", "kernel_id": "103062915"}, {"ref": "abhishekawasthi151/catboost-model", "kernel_id": "103037932"}, {"ref": "abhishekawasthi151/xgoost-and-lgm", "kernel_id": "103041885"}, {"ref": "hlothaire/diabetes-diagnostics-xgb", "kernel_id": "103154143"}, {"ref": "vamsi5132k/diabetes-prediction-xgboost", "kernel_id": "103346640"}, {"ref": "gperdrizet/diabetes-challenge-logistic-regression-inference", "kernel_id": "103538935"}, {"ref": "emircansoftware/autogluon-diabet", "kernel_id": "103039812"}, {"ref": "aratiyadav100/diabetes-01", "kernel_id": "103453395"}, {"ref": "isandeep06/diabetes-prediction-challenge-eda", "kernel_id": "103305933"}, {"ref": "sakshisharma1616/diabetes-auto-ml", "kernel_id": "103137816"}, {"ref": "nina2025/ps-s5e12-hb11g", "kernel_id": "103912630"}, {"ref": "nina2025/ps-s5e12-hb9g", "kernel_id": "103775477"}, {"ref": "nina2025/ps-s5e12-hb10g", "kernel_id": "103792106"}, {"ref": "nina2025/ps-s5e12-hb12g", "kernel_id": "103943579"}, {"ref": "nina2025/ps-s5e12-hb8g-vote-2", "kernel_id": "103545370"}, {"ref": "nina2025/ps-s5e12-hb8g-vote-2-b", "kernel_id": "103584873"}, {"ref": "nina2025/ps-s5e12-hb8g-vote-2-d", "kernel_id": "103585271"}, {"ref": "nina2025/ps-s5e12-hb8g-vote-2-c", "kernel_id": "103589217"}, {"ref": "nina2025/ps-s5e12-hb8g-vote-3", "kernel_id": "103592285"}, {"ref": "nina2025/ps-s5e12-hb7g", "kernel_id": "103373525"}, {"ref": "nina2025/ps-s5e12-hb6g", "kernel_id": "103258767"}, {"ref": "nina2025/ps-s5e12-hb5g", "kernel_id": "103222799"}, {"ref": "nina2025/ps-s5e12-1g", "kernel_id": "103011326"}, {"ref": "nina2025/ps-s5e12-hb4g", "kernel_id": "103094851"}, {"ref": "nina2025/ps-s5e12-hb3g", "kernel_id": "103059991"}, {"ref": "murtazaabdullah2010/ps-s5e12-ensemble", "kernel_id": "103018841"}, {"ref": "murtazaabdullah2010/ps-s5e12-eda", "kernel_id": "103047127"}, {"ref": "yusufsertkayaysk/ps-s5e12-lightgbm-xgboost-catboost", "kernel_id": "103070017"}, {"ref": "nitinsen001/diabetes-prediction-challenge", "kernel_id": "103363881"}, {"ref": "akafihirsi/s5e12-diabetes-prediction", "kernel_id": "103054709"}, {"ref": "vanshdsci/diabetes-xgb-lgbm-catboost", "kernel_id": "103465042"}, {"ref": "hermitsays/diabetes-detection-with-lightgbm-xgboost", "kernel_id": "103245152"}, {"ref": "ojassrivastava05/notebook-1-ojas-srivastava", "kernel_id": "103056541"}, {"ref": "utaazu/s5e12-eda-medical-vs-data-20-bin-strategy", "kernel_id": "103394666"}, {"ref": "stephentarter/ps-s5e12-catboost", "kernel_id": "103595166"}, {"ref": "stephentarter/ps-s5e12-lightgbm", "kernel_id": "103410783"}, {"ref": "stephentarter/ps-s5e12-xgboost", "kernel_id": "103194129"}, {"ref": "stephentarter/ps-s5e12-eda", "kernel_id": "103078546"}, {"ref": "stephentarter/ps-s5e12-model-blending", "kernel_id": "103796107"}, {"ref": "funguscakehead/s5e12-fe-xgb-cv-0-7314296-lb-0-69932", "kernel_id": "103229699"}, {"ref": "efetosun/diabetes-risk-classifier", "kernel_id": "103269271"}, {"ref": "doganatmaca/xgbmodel-eda-0-724-roc-auc", "kernel_id": "103082826"}, {"ref": "kostya138/automl-guide-diabetes-prediction-challenge", "kernel_id": "103095742"}, {"ref": "hmnshudhmn24/diabetes-prediction-challenge-s5e12", "kernel_id": "103052126"}, {"ref": "santoshyadavaiexpert/diabetes-prediction-xgboost", "kernel_id": "103347355"}, {"ref": "santoshyadavaiexpert/diabetes-prediction-xgb-cv", "kernel_id": "103351915"}, {"ref": "santoshyadavaiexpert/diabetes-prediction-xgboost-lightgbm-catboost", "kernel_id": "103351932"}, {"ref": "namansudershan/notebook764d45c04d", "kernel_id": "103541416"}, {"ref": "mohankrishnathalla/diabetes-prediction-challenge", "kernel_id": "103081384"}, {"ref": "faresyared/diabetes-comp-analys", "kernel_id": "103806471"}, {"ref": "sajeebkhan/diabetes-prediction-channege", "kernel_id": "103426766"}, {"ref": "dnyaneshbharambe/lgbm-catb-gb-optuna-based-ensemble", "kernel_id": "103533673"}, {"ref": "aliadineh/diabetes-prediction", "kernel_id": "103639379"}, {"ref": "frissie/s5e12-diabetes-prediction-challenge-lgbm", "kernel_id": "103100503"}, {"ref": "sahilalaknur/diabetes-prediction-using-xgb2", "kernel_id": "103287770"}, {"ref": "souvikdbiswas/my-try", "kernel_id": "103539673"}, {"ref": "souvikdbiswas/diabetes-by-souvik", "kernel_id": "103142834"}, {"ref": "somtea/diabetes-prediction-adaeze-dosia", "kernel_id": "103598434"}, {"ref": "daniilkrizhanovskyi/v5-drift-buster", "kernel_id": "103398162"}, {"ref": "yoikoarmor/how-to-i-get-started-s5e12", "kernel_id": "103053713"}, {"ref": "bahufiteihsanullah/testing-t1", "kernel_id": "103959606"}, {"ref": "westleyh/diabetes-xgb-classifier", "kernel_id": "103023780"}, {"ref": "aridoge13/diabetes-1-lgbm-catboost", "kernel_id": "103035256"}, {"ref": "aridoge13/diabetes-practice-2", "kernel_id": "103343555"}, {"ref": "aridoge13/diabetes-shap-based-fe-xgboost-catboost", "kernel_id": "103437162"}, {"ref": "aridoge13/diabetes-shap-based-fe-xgboost-le-rf", "kernel_id": "103456898"}, {"ref": "gssreshta/ps-s5e12-lightgbm-xg-cv", "kernel_id": "103145611"}, {"ref": "gssreshta/ps-diab-blend-predict-xscv", "kernel_id": "103144100"}, {"ref": "gssreshta/diabetes-diagnostics-end-a", "kernel_id": "103145059"}, {"ref": "anuraggupta2006/notebook1fd8170412", "kernel_id": "103833034"}, {"ref": "anuraggupta2006/notebookbcb32c8e53", "kernel_id": "103828874"}, {"ref": "anuraggupta2006/notebook9df5a8cb24", "kernel_id": "103830949"}, {"ref": "ugantsharma/notebookae39331883", "kernel_id": "103278227"}, {"ref": "prateekmaurya435/notebook023ff5a630", "kernel_id": "103370730"}, {"ref": "edizsungur/notebookdfdiabetespredictionchallenge", "kernel_id": "103765675"}, {"ref": "ethanrivera1/diabetes-prediction-challenge-11-30-2025", "kernel_id": "103012204"}, {"ref": "ethanrivera1/ps-s5e12-blending-with-noise", "kernel_id": "103117057"}, {"ref": "chanelrecruitment/felly-s", "kernel_id": "103492291"}, {"ref": "aphoristicartist/ps-s5e12-automl-hill-climbing-ensemble", "kernel_id": "104103558"}, {"ref": "aphoristicartist/ps-s5e12-advanced-ensemble-pseudo-labels", "kernel_id": "104091213"}, {"ref": "aphoristicartist/ps-s5e12-optuna-gbdt-ensemble-deep-eda", "kernel_id": "104035006"}, {"ref": "rafanikitas/diabetes-eda-training-pipeline", "kernel_id": "104028676"}, {"ref": "krishm/diabetes-prediction-2025", "kernel_id": "104541218"}, {"ref": "soumya1984/diabetes-prediction", "kernel_id": "104232092"}, {"ref": "pmrich/diabetes-prediction-eda", "kernel_id": "104563322"}, {"ref": "rahulbana/diabetes-prediction-using-logistic-regression", "kernel_id": "104749062"}, {"ref": "wesleyhuan/improve-solution-season-5-episode-12", "kernel_id": "104365988"}, {"ref": "tungdang1108/multi-layer-ensemble-shap-feature-selector", "kernel_id": "104518126"}, {"ref": "tungdang1108/interpretable-prediction-probabilistic-ml", "kernel_id": "104964358"}, {"ref": "brysonje/xgbclassifier", "kernel_id": "104966370"}, {"ref": "brysonje/lightgbm-classifier", "kernel_id": "104961883"}, {"ref": "brysonje/lgbm-xgb-catb-cross-validation", "kernel_id": "104996437"}, {"ref": "mexwell/p5e12-diabetes-prediction", "kernel_id": "104846973"}, {"ref": "aishwaryasharma1992/ps5e12-ensemble-modelling-approach", "kernel_id": "104069227"}, {"ref": "galuhbudi/diabetes-prediction-challenge-eda-notebook", "kernel_id": "104515892"}, {"ref": "jeanpooljinezsorroza/diabetes-prediction-1", "kernel_id": "104578405"}, {"ref": "jeanpooljinezsorroza/diabetes-prediction-2", "kernel_id": "104679264"}, {"ref": "jeanpooljinezsorroza/diabetes-prediction-3", "kernel_id": "104918662"}, {"ref": "riteshmanna/diabetes-prediction", "kernel_id": "104610888"}, {"ref": "daniilstyrov/s5e12-single-catboost", "kernel_id": "104103965"}, {"ref": "daniilstyrov/s5e12-logistic-regression", "kernel_id": "104390374"}, {"ref": "donghwakang/example", "kernel_id": "104365351"}, {"ref": "vaishnavimshetty/diabetes-cv-ensemble", "kernel_id": "104249410"}, {"ref": "nhernandezz/model-introduction-diabetes-challenge", "kernel_id": "104560094"}, {"ref": "nhernandezz/lgbm-tuning-diabetes-challenge", "kernel_id": "104569218"}, {"ref": "nhernandezz/weigthed-ensemble-diabetes-prediction", "kernel_id": "104797658"}, {"ref": "nhernandezz/simple-ensamble-diabetes-prediction", "kernel_id": "104795902"}, {"ref": "nhernandezz/proxy-lgbm-tuning-diabetes-challenge", "kernel_id": "104789862"}, {"ref": "nhernandezz/histogram-gb-tuning-diabetes-challenge", "kernel_id": "104791269"}, {"ref": "erigor/diabeties-prediction-using-r", "kernel_id": "104413821"}, {"ref": "popurilokesh/s5e12-the-big-three-ensemble-xgb-lgbm-cb", "kernel_id": "104786044"}, {"ref": "rv1922/predict-diabetic-lgbm-roc-auc", "kernel_id": "104833615"}, {"ref": "manasvijaipurkar/diabeties-prediction", "kernel_id": "104060996"}, {"ref": "ankushmehta1234567/diabetes-pred-advanced-fe", "kernel_id": "104532022"}, {"ref": "nagwaahmed/diabetes-prediction-competition", "kernel_id": "104998653"}, {"ref": "mariusborel/r-predicted-diabetes", "kernel_id": "104978341"}, {"ref": "rahul416/boosting-and-neural-network", "kernel_id": "104844598"}, {"ref": "rahul416/rahul-s-diabestes-prediction", "kernel_id": "104234438"}, {"ref": "rahul416/rahul-s-diabeti-pred", "kernel_id": "104278510"}, {"ref": "masayakawamata/s5e12-xgb-sample-weight", "kernel_id": "104274407"}, {"ref": "masayakawamata/s5e12-xgb-bridging-the-cv-lb-gap", "kernel_id": "104261552"}, {"ref": "masayakawamata/s5e12-ridge-stack", "kernel_id": "104451793"}, {"ref": "likithagedipudi/diabetes-auc-baseline", "kernel_id": "104831093"}, {"ref": "marylka/end-to-end-diabetes-prediction-eda-xgboost", "kernel_id": "104433772"}, {"ref": "vh10935cse20/blending-diabetics-diagonised", "kernel_id": "104097667"}, {"ref": "vh10935cse20/weighted-score", "kernel_id": "104545981"}, {"ref": "vh10935cse20/simple-neural", "kernel_id": "104647409"}, {"ref": "miadul/diabetes-predication-ml-model", "kernel_id": "104306126"}, {"ref": "vanpatangan/diabetes-prediction-lgbm", "kernel_id": "104525601"}, {"ref": "mahfuzharsya/diabetest-prediction-challle", "kernel_id": "104879476"}, {"ref": "macisalvsalv/diabetes", "kernel_id": "104385764"}, {"ref": "harshpatel0816/diabetes-prediction-deep-dive-into-eda", "kernel_id": "104332708"}, {"ref": "harshpatel0816/diabetes-prediction-deep-dive-into-fastapi", "kernel_id": "104735595"}, {"ref": "harshpatel0816/diabetes-prediction-deep-dive-into-modelling", "kernel_id": "104605227"}, {"ref": "kingofdatax/diabetes-prediction-eda-ml-model", "kernel_id": "104535790"}, {"ref": "vivek7557/diabetes-prediction-xgb-lgbm-optimised-lb", "kernel_id": "104091411"}, {"ref": "aayushiweb/diabetic-challange", "kernel_id": "104835009"}, {"ref": "enesfurkanmacit/diabetes-prediction-catboost-lightbgbm-0-7265", "kernel_id": "104961250"}, {"ref": "marknghk/dpm-autogluon", "kernel_id": "104309858"}, {"ref": "marknghk/dpm-with-ydf", "kernel_id": "104681385"}, {"ref": "marknghk/dpm-ensemble-with-new-fe-and-oc", "kernel_id": "104551003"}, {"ref": "hamzanaobahar/notebook247640f1eb", "kernel_id": "104602906"}, {"ref": "hafizmuaz9595/prediction-debates-for-deep", "kernel_id": "104904708"}, {"ref": "pradippokhrel45/diabetes-ensemble", "kernel_id": "104873037"}, {"ref": "younusmohamed/71-03-feature-engineering-diabetes-prediction", "kernel_id": "104617718"}, {"ref": "musashiyasashi/diabetes-prediction-musashi-yasashi", "kernel_id": "104752153"}, {"ref": "singhankita22/diabetes-prediction-challenge", "kernel_id": "104860285"}, {"ref": "mikhailnaumov/diabetes-prediction-single-xgb", "kernel_id": "104270595"}, {"ref": "faizanshaikh20/diabetes-prediction-strong-baseline-with-ligh", "kernel_id": "104785255"}, {"ref": "ajabkhan21/notebook0761ba1b8e", "kernel_id": "104109877"}, {"ref": "carlospereavega/s5e12-diabetes-eda-model-selection", "kernel_id": "104346539"}, {"ref": "fizzaha99/diabetes-prediction-playground-series-s5e12", "kernel_id": "104639452"}, {"ref": "abhishekgodara/ps-s5e12-blend-score-0-70447", "kernel_id": "104435094"}, {"ref": "abhishekgodara/ps-s5e12-blend-approach-score-0-70388", "kernel_id": "104393180"}, {"ref": "abhishekgodara/s5e12-diabetes-prediction-score-0-70698", "kernel_id": "104984314"}, {"ref": "kaap10/ensemble-power-xgboost-catboost-lgbm", "kernel_id": "104730412"}, {"ref": "umutcanetin/diabetes-eda-stats-tests", "kernel_id": "104561872"}, {"ref": "umutcanetin/xgb-lgbm-catboost-soft-voting", "kernel_id": "104569187"}, {"ref": "rbv0416/diabetes-pred-challenge", "kernel_id": "104898370"}, {"ref": "kaushikjonas/lightgbm02", "kernel_id": "104840685"}, {"ref": "keshavchauhan56/diabetes-prediction-xgboost-lightgmb", "kernel_id": "104532646"}, {"ref": "adamthomas11/s5e12-diabetes-prediction-ensemble-prediction", "kernel_id": "104340064"}, {"ref": "mohitsharma231234/s5e12-feature-en-lightgbm-0-6995", "kernel_id": "104844869"}, {"ref": "mohitsharma231234/blend-xgboost-light-gbm-ann", "kernel_id": "104850234"}, {"ref": "aliguinga5/diabetes-prediction-using-logistic-regression", "kernel_id": "104050007"}, {"ref": "abdallahahmed400/diabetes-prediction-notebook", "kernel_id": "104799053"}, {"ref": "rayhanislamhridoy/beginner-friendly-catboost-too-easy", "kernel_id": "104621243"}, {"ref": "rayhanislamhridoy/ps-s5e12-logistic-regression", "kernel_id": "104924012"}, {"ref": "rayhanislamhridoy/s5e12-single-catboost-0-69801-v1", "kernel_id": "104979884"}, {"ref": "udayprattap/diabetes-prediction-challenge", "kernel_id": "104616871"}, {"ref": "solxire88/diabetes-classification-smote-xgboost-fe", "kernel_id": "104402272"}, {"ref": "bahaenesren/diabetes-prediction-robust-ml-pipeline-roc-auc", "kernel_id": "104460345"}, {"ref": "adityakymarmishra/medical-data-analysis", "kernel_id": "104440385"}, {"ref": "labibshahriar/ps-s5e11-0-70598", "kernel_id": "104510603"}, {"ref": "labibshahriar/ps-s5e12-0-70644", "kernel_id": "104769168"}, {"ref": "rohandsouza003/simple-cat-boost", "kernel_id": "104610252"}, {"ref": "mridul990601/diabetes-prediction-s5e12-xgboost-optuna", "kernel_id": "104280207"}, {"ref": "shawneilrodrigues/diabetes-prediction-pipeline-eda", "kernel_id": "104086158"}, {"ref": "elasgustavoknaus/diabetes-prediction-statistics-eda-logistic-r", "kernel_id": "104313828"}, {"ref": "anuragyadav156/ps-s5e12-pipeline-xgboost-with-10-fold-cv", "kernel_id": "104350720"}, {"ref": "bandito20/diabetes-prediction-eda", "kernel_id": "104524337"}, {"ref": "ruhul20/eda-smote-ensemble-xgb-lgb-cat-model", "kernel_id": "104836111"}, {"ref": "victusadi/diabetes-prediction-4", "kernel_id": "104486036"}, {"ref": "victusadi/diabetes-prediction-2", "kernel_id": "104385526"}, {"ref": "victusadi/diabetes-prediction-1", "kernel_id": "104252554"}, {"ref": "aryanagrawal19/random-forest-approach", "kernel_id": "104327586"}, {"ref": "zhxvzzz/tnb-logistic", "kernel_id": "104823473"}, {"ref": "rattans/simple-yet-effective-logistic-regression", "kernel_id": "104782569"}, {"ref": "iwayansatya/s5e12-kaggle-playground-xgb-auc-for-newbie", "kernel_id": "104262265"}, {"ref": "yashdev01/diabetes-prediction-rf-xgb-lgbm-s5e12", "kernel_id": "104845756"}, {"ref": "jessewaite/s5e12-catboost-te-10fold-0-70484", "kernel_id": "104054363"}, {"ref": "mdevian/s5e12-blending-extrapolative-for-beginner", "kernel_id": "104838046"}, {"ref": "quanxii/notebook5a9741a618", "kernel_id": "104337770"}, {"ref": "camilochart/diabetes-prediction-eda-with-stacked-bars", "kernel_id": "104906764"}, {"ref": "nabasaikia/diabetes-predection-tabtransformer", "kernel_id": "104539844"}, {"ref": "marii8st/ml-club-solution", "kernel_id": "104373819"}, {"ref": "techabinesh/kaggle-diabetes-pipeline-with-the-lightgbm", "kernel_id": "104514151"}, {"ref": "techabinesh/diabetes-data-dive-machine-learning-marvel", "kernel_id": "104660908"}, {"ref": "techabinesh/diabetes-ml-model-with-0-7990-score", "kernel_id": "104421059"}, {"ref": "techabinesh/diabetes-code-score-0-996", "kernel_id": "104962204"}, {"ref": "satyamprakashpandey/diabetes-prediction-challenge", "kernel_id": "104967410"}, {"ref": "alaamohsalahmotawe/diabetes-prediction-challenge", "kernel_id": "104437743"}, {"ref": "iliaselamrani54/0-70327-simple-logistic-reg-lgb-xgb-catboost-oof", "kernel_id": "104714015"}, {"ref": "swissfizz/diabetes-prediction-challenge", "kernel_id": "104770322"}, {"ref": "aneevinay/diabetes-prediction-s5e12", "kernel_id": "104092047"}, {"ref": "albab12/neural-tree-hybrid", "kernel_id": "104090668"}, {"ref": "albab12/polynomial-ouroboros-strategy", "kernel_id": "104966387"}, {"ref": "shailali/diabetes-v11", "kernel_id": "104957927"}, {"ref": "adityasharma926/diabetes-prediction-using-logistic-regression", "kernel_id": "104756044"}, {"ref": "susihad/diabetes-prediction", "kernel_id": "104496724"}, {"ref": "mitudru/diabetes-prediction", "kernel_id": "104971847"}, {"ref": "johnkihoro/fraud-detection-bank-notes-prediction", "kernel_id": "104826010"}, {"ref": "nawfeelrahman1124444/s5ep12-70-0787", "kernel_id": "104969304"}, {"ref": "ignacioazua/blended-gbdt-logistic-regression-for-diabetes-au", "kernel_id": "104022157"}, {"ref": "larmkaixian/notebook2e42f83736", "kernel_id": "104661196"}, {"ref": "ianteigen/diabetes-prediction-blend", "kernel_id": "104332291"}, {"ref": "sharmagayatri/diabetes-prediction", "kernel_id": "104341094"}, {"ref": "aymankhan555/diabetes-prediction-simple", "kernel_id": "104996230"}, {"ref": "abhishekawasthi151/auc-xgboost-catboost", "kernel_id": "104621407"}, {"ref": "abhishekawasthi151/predict-diabetes-challenge", "kernel_id": "104877012"}, {"ref": "abhishekawasthi151/diabetes-prediction-using-xgboost-and-catboost-wit", "kernel_id": "104486042"}, {"ref": "anhadmahajan06/diabetes-prediction-challenge", "kernel_id": "104539688"}, {"ref": "anhadmahajan06/diabetes-prediction-challenge-2", "kernel_id": "104550501"}, {"ref": "gperdrizet/diabetes-challenge-gradient-boosting-inference", "kernel_id": "104135140"}, {"ref": "daylighth/ps-s5e12-hypothesis", "kernel_id": "104733477"}, {"ref": "cosmicescape/elite-ensemble-pipeline-for-diabetes-prediction", "kernel_id": "104542985"}, {"ref": "pietrocol/diabetes-f-ucb-2-0", "kernel_id": "104685289"}, {"ref": "sumbulsaleem/diabetes", "kernel_id": "104879300"}, {"ref": "nina2025/ps-s5e12-experiment", "kernel_id": "104117561"}, {"ref": "nina2025/ps-s5e12-14g", "kernel_id": "104411222"}, {"ref": "nina2025/ps-s5e12-diabetes-prediction", "kernel_id": "104438866"}, {"ref": "nina2025/ps-s5e12-horizontal-blend", "kernel_id": "104906855"}, {"ref": "nina2025/ps-s5e12-hb19g", "kernel_id": "104902427"}, {"ref": "nina2025/ps-s5e12", "kernel_id": "104759994"}, {"ref": "nina2025/ps-s5e12-15g", "kernel_id": "104488100"}, {"ref": "anrodon/diabetes-prediction-challenge-lgbm-pipeline", "kernel_id": "104521490"}, {"ref": "yusufsertkayaysk/ps-s5e12-lightgbm-stratified-k-fold-10-fold-cv", "kernel_id": "104059194"}, {"ref": "yusufsertkayaysk/ps-s5e12-weight-optimization-in-lgbm-xgb-catb", "kernel_id": "104295559"}, {"ref": "ahsanneural/catboost-xgboost-lightgbm-a-balanced-ensemble", "kernel_id": "104334416"}, {"ref": "krishpansara/diabetes-prediction-challenge-eda-xgbclassifier", "kernel_id": "104068838"}, {"ref": "krishpansara/diabetes-prediction-2-lgbmclassifier", "kernel_id": "104771388"}, {"ref": "maliniroychoudhury/diabetes-prediction-logisticregression", "kernel_id": "104295642"}, {"ref": "centroc2/diabetes-prediction-xgboost", "kernel_id": "104667982"}, {"ref": "hemanthganeshvilluri/diagnosed-diabetes", "kernel_id": "104972589"}, {"ref": "razanihababdellatif/diabetes-modular-lightgbm", "kernel_id": "104969144"}, {"ref": "santoshyadavaiexpert/check-utility", "kernel_id": "104527788"}, {"ref": "namansudershan/fork-of-notebook8bab6ad75f-1e56b2", "kernel_id": "104359258"}, {"ref": "harishsingh343/1st-comp", "kernel_id": "104892157"}, {"ref": "krrishkumarkk/0-69725-all-in-one-lgb-xgb-catboost-oof-features", "kernel_id": "104638124"}, {"ref": "krrishkumarkk/diabetes-dataset-best-eda", "kernel_id": "104900986"}, {"ref": "krrishkumarkk/0-700-catboost-kfold-feature-best-output", "kernel_id": "104978407"}, {"ref": "adityathakekar/diabetes-prediction", "kernel_id": "104398057"}, {"ref": "vladosht/fast-logistic-regression-for-diabetes-challenge", "kernel_id": "104020818"}, {"ref": "mhamza0810/ps-s5e12-single-catboost-lb-0-70425", "kernel_id": "104894918"}, {"ref": "salahmostafaa/diabetes-voting-classifiers-roc-auc", "kernel_id": "104273344"}, {"ref": "sakshisashadass/diabetes-prediction-challenge", "kernel_id": "104885803"}, {"ref": "aridoge13/super-ultra-mega-ultimate-maximum-diabetes", "kernel_id": "104340639"}, {"ref": "aridoge13/multi-seed-ensembling-and-rank-aggregation", "kernel_id": "104516485"}, {"ref": "aiswarjya/diabetes-prediction-challenge-playground-series", "kernel_id": "104348613"}, {"ref": "ashsheldon/diabetes-comp", "kernel_id": "104553145"}, {"ref": "hosseinbadrnezhad/catboost-with-stratified-cv-for-high-auc-diabetes", "kernel_id": "104338810"}, {"ref": "ne02003/notebook3ec1cb23c1", "kernel_id": "104662119"}, {"ref": "animesh0955/diabetes-prediction", "kernel_id": "104018234"}, {"ref": "gogo3298/exp000", "kernel_id": "104089226"}, {"ref": "nileshkatoch26/diabetes-prediction", "kernel_id": "104478790"}, {"ref": "hyx2029/ps-s5e12-xgb-baseline", "kernel_id": "104245543"}, {"ref": "oussamabouyahyaoui/notebook2f2405694b", "kernel_id": "104447698"}, {"ref": "sakulcodes/diabetes-prediction-challenge-lightgbm-xgboost", "kernel_id": "104800942"}, {"ref": "sunithakandi/titanic-survival-prediction-using-k-nn", "kernel_id": "104562130"}, {"ref": "brianedwards/diabetes-prediction-ensemble-claude-code", "kernel_id": "105772497"}, {"ref": "abisheksrivastav/xgb-ydf", "kernel_id": "105049713"}, {"ref": "gsdeepakkumar/diabetes-prediction-challenge-ensemble", "kernel_id": "105893815"}, {"ref": "manorie/diabetes-prediction-voting-ensemble-medical-fe", "kernel_id": "105875279"}, {"ref": "sword4949/diabetes-prediction", "kernel_id": "105479092"}, {"ref": "include4eto/02-original-data-plus-last-20k-preprocess-in-kf", "kernel_id": "105505896"}, {"ref": "include4eto/08-use-original-and-all-train", "kernel_id": "105910846"}, {"ref": "include4eto/ensemble-of-xgb-lr", "kernel_id": "105911222"}, {"ref": "obiaf88/s5-ep11-diabetes-prediction", "kernel_id": "105218966"}, {"ref": "priyanshutuli/diabetes-prediction", "kernel_id": "105304432"}, {"ref": "danigarci1/s5e12-mlops", "kernel_id": "105194162"}, {"ref": "ferariz/diabetes-risk-prediction-a-reliable-baseline", "kernel_id": "105630802"}, {"ref": "brysonje/catboost-cross-validation", "kernel_id": "105242333"}, {"ref": "brysonje/xgboost-cross-validation", "kernel_id": "105236394"}, {"ref": "nishiokande/diabetes-prediction", "kernel_id": "105823629"}, {"ref": "allhail2caomei/analysis-on-given-data-playground-series-s5e12", "kernel_id": "105947859"}, {"ref": "allhail2caomei/playground-series-s5e12-diabetes", "kernel_id": "105820280"}, {"ref": "yasunorim/diabetes-prediction-eda-baseline-s5e12", "kernel_id": "105812994"}, {"ref": "yasunorim/diabetes-prediction-rank-based-ensemble", "kernel_id": "105814826"}, {"ref": "yasunorim/multi-algorithm-rank-ensemble", "kernel_id": "105825606"}, {"ref": "jeanpooljinezsorroza/diabetes-prediction-5-blending", "kernel_id": "105238488"}, {"ref": "jeanpooljinezsorroza/diabetes-prediction-6-fork", "kernel_id": "105243978"}, {"ref": "jeanpooljinezsorroza/diabetes-prediction-4-fork", "kernel_id": "105002770"}, {"ref": "synchrocyclotron/notebookf7c106df75", "kernel_id": "105382925"}, {"ref": "daniilstyrov/s5e12-single-lightgbm-optuna", "kernel_id": "105706909"}, {"ref": "udaken10/classification-diabates-10-models", "kernel_id": "105252740"}, {"ref": "udaken10/maeshori-categorical-numerical", "kernel_id": "105662116"}, {"ref": "udaken10/real-categoric-numeric-catboost-cross-validation", "kernel_id": "105853087"}, {"ref": "nnsssadithya/playseries-diabetes", "kernel_id": "105474468"}, {"ref": "josephnehrenz/s5e12-diabetes-prediction-blend", "kernel_id": "105652443"}, {"ref": "rishavr/notebook3995a59732", "kernel_id": "105853543"}, {"ref": "lauvfpitipak/diabetics-prediction-v-1", "kernel_id": "105744514"}, {"ref": "lauvfpitipak/diabetes-prediction-v-2", "kernel_id": "105755886"}, {"ref": "umairinayat/diabetes-prediction-s5e12", "kernel_id": "105170943"}, {"ref": "hilmidemrr/diabetes-prediction-tps-s5e12", "kernel_id": "105930806"}, {"ref": "bhavikjikadara/diabetes-risk-prediction-machine-learning", "kernel_id": "105119313"}, {"ref": "parkparkhaneul/diabetes-prediction", "kernel_id": "105179937"}, {"ref": "leonchani/01-only-eda-diabetes-prediction-challenge", "kernel_id": "105024378"}, {"ref": "pankajguleria11/who-s-got-diabetes", "kernel_id": "105301805"}, {"ref": "hardikmakhija/s5e12-the-golden-trio-robust-triple-model", "kernel_id": "105905222"}, {"ref": "hardikmakhija/s5e12-dart-the-plateau-breaker-strategy", "kernel_id": "105902891"}, {"ref": "hardikmakhija/optimized-for-roc-auc-s5e12-diabetes-diagnostic", "kernel_id": "105895572"}, {"ref": "hardikmakhija/medical-risk-edition", "kernel_id": "105837501"}, {"ref": "anantpandey29/neurosymbolic-ai-in-diabetes-prediction", "kernel_id": "105516063"}, {"ref": "omidsakaki1370/advanced-ensemble-model-for-diabetes-prediction", "kernel_id": "105068864"}, {"ref": "ravi20076/playgrounds6e1-public-imports-v1", "kernel_id": "105949982"}, {"ref": "ravi20076/playgrounds6e1-public-baseline-v1", "kernel_id": "105949907"}, {"ref": "anwarabualhussien/blending-xgboost-catboost-for-precision", "kernel_id": "105767401"}, {"ref": "hyzentech/diabetes-prediction-challenge", "kernel_id": "105599540"}, {"ref": "itsyoursumit/diabetes-prediction-challenge", "kernel_id": "105179737"}, {"ref": "mohamedwaleed13/diabetes-prediction-with-ft-transformer-lightgbm", "kernel_id": "105649048"}, {"ref": "prash4nt/end-of-year-eda-ps05e12", "kernel_id": "105547996"}, {"ref": "ramakrushnamohapatra/diabetes-prediction-lightgbm-catboost-xgboost", "kernel_id": "105485255"}, {"ref": "avijitchowdhurycuet/notebookversion1-avijit", "kernel_id": "105923274"}, {"ref": "kaibaur/simple-xgboost", "kernel_id": "105498526"}, {"ref": "francescoliveras/ps-s5-e12-eda-and-model-en-es", "kernel_id": "105390518"}, {"ref": "sumit08/daibetes-prediction-using-catboost-0-6923", "kernel_id": "105297812"}, {"ref": "adityapuranik24/diabetes-challenge", "kernel_id": "105246826"}, {"ref": "vh10935cse20/lgbm-diabetics", "kernel_id": "105069248"}, {"ref": "lishachaudhari/diabetics-prediction-challenge-2", "kernel_id": "105292029"}, {"ref": "les1781/predicting-diabetes-playground-series-s5e12", "kernel_id": "105150517"}, {"ref": "yunsuxiaozi/pss5e12-ensemble-cv-0-70573", "kernel_id": "105297815"}, {"ref": "zargon/diabetes-prediction-challenge-s5ep12", "kernel_id": "105626822"}, {"ref": "muhammadusamazaman/diabetes-prediction-challenge", "kernel_id": "105620202"}, {"ref": "harshpatel0816/diabetes-prediction-ann", "kernel_id": "105601074"}, {"ref": "d3stron/tabm-implementation-from-scratch-pytroch", "kernel_id": "105444518"}, {"ref": "sturarods/catboost-w-stratifiedkfold-n-mlflow-databricks", "kernel_id": "105991149"}, {"ref": "omarmamdooh/diabetes-prediction-gpu-ensemble", "kernel_id": "105842019"}, {"ref": "dolevevenhaim/diabetes-prediction-challenge-xgboost-lightgbm", "kernel_id": "105523418"}, {"ref": "francescoalbanesephd/s5e12-diabetes-gbm-ensemble-v1", "kernel_id": "105598049"}, {"ref": "shadesh/lgbm-cv", "kernel_id": "105196510"}, {"ref": "tmdofi/diabetes-ensemble-lightgbm-xgboost-catboost", "kernel_id": "105803756"}, {"ref": "abdullahkhan999/diabetes-prediction", "kernel_id": "105051926"}, {"ref": "evgendvorkin/diabetes-prediction-lgb-privat-0-69474", "kernel_id": "105294199"}, {"ref": "marknghk/dpm-01-0-7027", "kernel_id": "105710967"}, {"ref": "shaunax/s5-e12-diabetes-prediction-optuna-xgb-lgbm-ctb", "kernel_id": "105051680"}, {"ref": "leeladhardewangan/diabetes-prediction-challenge", "kernel_id": "105836937"}, {"ref": "younusmohamed/71-04-after-1400-models-built", "kernel_id": "105517059"}, {"ref": "rishabhkannaujiya/s5e12-xgboost-drift-correction", "kernel_id": "105455747"}, {"ref": "rishabhkannaujiya/s5e12-xgb-lgbm-cat-drift-weights-auto-blend", "kernel_id": "105701756"}, {"ref": "ncyashaswini/diabetics-multiclass", "kernel_id": "105199252"}, {"ref": "madisrinija/diabetes-prediction-challenge", "kernel_id": "105157270"}, {"ref": "faizanshaikh20/auc-optimized-lgbm-xgb-for-diabetes-prediction", "kernel_id": "105604594"}, {"ref": "vaibhavdlights/stacking-ensemble-approach", "kernel_id": "105801536"}, {"ref": "harshitagarwal2023/simple-catboost-good-score", "kernel_id": "105602939"}, {"ref": "adegbaju/diabetes-prediction", "kernel_id": "105937105"}, {"ref": "zayl001/diabetes-prediction-challenge-gb-smote", "kernel_id": "105462907"}, {"ref": "zayl001/diabetes-prediction-challenge", "kernel_id": "105047072"}, {"ref": "zayl001/diabetes-prediction-challenge-rf-and-gb", "kernel_id": "105117108"}, {"ref": "abhishekgodara/s5e12-predicting-diabetes-score-0-70736", "kernel_id": "105156218"}, {"ref": "abhishekgodara/ps-s5e12-blending-score-0-70765", "kernel_id": "105557076"}, {"ref": "rajar0110/diabetes-kaggle-competition", "kernel_id": "105422096"}, {"ref": "gourabr0y555/s5e12-eda-k-fold-xgb-boosting", "kernel_id": "105161080"}, {"ref": "gourabr0y555/s5e12-eda-k-fold-cat-boosting", "kernel_id": "105789837"}, {"ref": "gourabr0y555/s5e12-eda-stacking-blending-proper-code", "kernel_id": "105545171"}, {"ref": "thearifabatool/diabetes-prediction-end-to-end-ml-pipeline", "kernel_id": "105988715"}, {"ref": "kirikiti/class-logistic-reg-onehot", "kernel_id": "105278323"}, {"ref": "faresls/diabetes-prediction-advanced-feature-engineering", "kernel_id": "105251474"}, {"ref": "geokfong/s5e12-diabetes-modeling-v1", "kernel_id": "105228983"}, {"ref": "muhammadrafifdanuja/notebookb5d6395575", "kernel_id": "105589477"}, {"ref": "saiganeshvoodi/diabetes-prediction", "kernel_id": "105867912"}, {"ref": "cartoonistbeard/ps5e12-single-xgb-te-adv-val-lb-0-70308", "kernel_id": "105482904"}, {"ref": "mohitsharma231234/s5e12-xgboost-diabetes-predictic-0-7006", "kernel_id": "105719949"}, {"ref": "mohitsharma231234/s5e12-catboost-feature-eng-0-7004", "kernel_id": "105718335"}, {"ref": "mohitsharma231234/s5e12-stacking-xgboost-lightgbm-ann-0-6975", "kernel_id": "105455637"}, {"ref": "mohitsharma231234/s5e12-ann-cv-deep-learning-0-69823", "kernel_id": "105546969"}, {"ref": "mohitsharma231234/s5e12-ann-cv-deep-learning", "kernel_id": "105369324"}, {"ref": "mohitsharma231234/s5e12-catboost", "kernel_id": "105034988"}, {"ref": "mohitsharma231234/s5e12-stacking-xgboost-lightgbm-cat-0-7008", "kernel_id": "105822518"}, {"ref": "avinashkushawaha/diabetes3", "kernel_id": "105915725"}, {"ref": "avinashkushawaha/diabetes4", "kernel_id": "105917108"}, {"ref": "avinashkushawaha/diabetes2", "kernel_id": "105906988"}, {"ref": "avinashkushawaha/diabetes-prediction", "kernel_id": "105906391"}, {"ref": "dngquch123/diabetes-prediction-challenge", "kernel_id": "105190981"}, {"ref": "aymanknadel/ps5e12-exploring-the-diabetes-dataset", "kernel_id": "105630469"}, {"ref": "khajanakumar/diabetespredictionchallenge-1-xgboost-by-kk", "kernel_id": "105743147"}, {"ref": "zafarali27/diabetes-prediction-challenge-ps-s5e12", "kernel_id": "105612378"}, {"ref": "aanchaljain1414/notebookecdaf482c8", "kernel_id": "105455974"}, {"ref": "y213ui/ps25-s12-my-first-playground-notebook", "kernel_id": "105102098"}, {"ref": "y213ui/ps-s5e12-xgb-lgbm-cat-stack2", "kernel_id": "105613425"}, {"ref": "risalatlabib/diabateschallenge", "kernel_id": "105302836"}, {"ref": "faizahmed7769/lightgbm-model-for-diabetes", "kernel_id": "105232645"}, {"ref": "rajveerksandhu/01-baseline-logistic-regression", "kernel_id": "105507436"}, {"ref": "bilalshabbir1/diabetes-prediction-lightgbm-roc-auc-0-69325", "kernel_id": "105863353"}, {"ref": "kammarishivashankarr/diabetes-prediction-challenge", "kernel_id": "105115751"}, {"ref": "amit393/notebook13c3b0079f", "kernel_id": "105911039"}, {"ref": "vivekumar001/diabetes-prediction-challenge-s5e12", "kernel_id": "105826302"}, {"ref": "sabra15/dibetes-prediction-challenge-catboost", "kernel_id": "105060337"}, {"ref": "arunsworkspace/diabetes-prediction", "kernel_id": "105305290"}, {"ref": "zehradere19/diabetes-prediction-challenge", "kernel_id": "105534333"}, {"ref": "iwayansatya/s5e12-simple-blending", "kernel_id": "105267627"}, {"ref": "ldausl/blending-top-1-leaderboard", "kernel_id": "105533345"}, {"ref": "ldausl/ps-s5e12-top-blending-segment-setup", "kernel_id": "105541612"}, {"ref": "ldausl/ps-s5e12-blend-with-eda", "kernel_id": "105328756"}, {"ref": "mahmoudehab6677/diabetes-prediction", "kernel_id": "105605773"}, {"ref": "alperenaslann/ps5e12-blending-top-public-solutions", "kernel_id": "105543479"}, {"ref": "aglaiakakoulidou/approach-with-xgboost-and-interactions", "kernel_id": "105017363"}, {"ref": "dmitrysavkov/simple-baseline-logistic-ohe-top-1000", "kernel_id": "105960199"}, {"ref": "skarin/when-trees-meet-neural-nets-heterogeneous-stack", "kernel_id": "105186808"}, {"ref": "skarin/s5e12-diabetes-prediction-boruta-vault-blend", "kernel_id": "105037100"}, {"ref": "mdevian/ps-s5e12-autogluon-diabetes", "kernel_id": "105656110"}, {"ref": "mdevian/ps-s5e12-up-to-0-70776", "kernel_id": "105622621"}, {"ref": "camilochart/diabetes-prediction-cat-vs-xgb", "kernel_id": "105867453"}, {"ref": "hanggallkhamsuren/diabetes-prediciton", "kernel_id": "105566744"}, {"ref": "abhixshek2000/scikit-learn-based-complete-pipeline-for-gbr-trees", "kernel_id": "105722984"}, {"ref": "minaunghtun/notebook7d75f04710", "kernel_id": "105600814"}, {"ref": "satyamprakashpandey/diabetes-prediction-challenge-1", "kernel_id": "105052755"}, {"ref": "sangampaudel530/tuned-lightgbm", "kernel_id": "105490243"}, {"ref": "samsulhabib/notebook2e8e4eb066", "kernel_id": "105861039"}, {"ref": "gustavohuss/s5e12-catboost-as-a-core-model-with-xgb-ensemble", "kernel_id": "105724695"}, {"ref": "avikdas567/diabetes-prediction-challenge-xgboost-lightgbm", "kernel_id": "105924463"}, {"ref": "wind1234it/s5e12-1st-place-solution-hc-ridge", "kernel_id": "105964149"}, {"ref": "samuelgz/diabetes-prediction", "kernel_id": "105283574"}, {"ref": "maheshmunnuru/reproducible-eda-ipynb", "kernel_id": "105914740"}, {"ref": "allachernova/diabetes-prediction-different-approaches", "kernel_id": "105858106"}, {"ref": "lopure/ps-s5e12-gpu-hill-climbing-starter", "kernel_id": "105608396"}, {"ref": "lopure/ps-s6e1-eda-xgb-last-competition-starter-as-it-is", "kernel_id": "105940314"}, {"ref": "annapoornasj/diabetes-predictions-tech-minds", "kernel_id": "105495959"}, {"ref": "rawashishsin/simple-catboost-skf-no-stacking-blending", "kernel_id": "105754479"}, {"ref": "anuppatil29/23f2003212-diabetes", "kernel_id": "105407825"}, {"ref": "niveshkumardhirwal/s5e12-kaggle-playground-xgb-histgrad", "kernel_id": "105223799"}, {"ref": "anujjakhar2104/ps-s5e12-xgboost", "kernel_id": "105084653"}, {"ref": "anujjakhar2104/ps-s5e13-xgboost-2", "kernel_id": "105863282"}, {"ref": "aymankhan555/diabetes-prediction-using-sampling", "kernel_id": "105631158"}, {"ref": "shinjansaha123/diabetes-prediction-lightgbm-oof", "kernel_id": "105524686"}, {"ref": "anhadmahajan06/diabetes-prediction-challenge-4", "kernel_id": "105215356"}, {"ref": "daylighth/2nd-place-solution-ensumble", "kernel_id": "105945480"}, {"ref": "nobeat/notebooka14385d4fb", "kernel_id": "105241966"}, {"ref": "ngarai/diabetes-prediction-s5e12", "kernel_id": "105360403"}, {"ref": "jwang2025learning/diabetes-prediction-challenge", "kernel_id": "105738812"}, {"ref": "pietrocol/diabetes-29", "kernel_id": "105779246"}, {"ref": "yogendrabs/dibetespredictionplaygrounds5e12", "kernel_id": "105944991"}, {"ref": "mr1rameez/advanced-catboost-lightgbm-stacking-for-diabetes", "kernel_id": "105075273"}, {"ref": "alonsofreire/diabebetes-prediction-catboost-xgboost-lightgb", "kernel_id": "105174668"}, {"ref": "nina2025/ps-s5e12-hb24g", "kernel_id": "105344987"}, {"ref": "nina2025/ps-s5e12-hb29g-2", "kernel_id": "105752729"}, {"ref": "nina2025/ps-s5e12-hb29g-private-top-15", "kernel_id": "105722780"}, {"ref": "nina2025/ps-s5e12-hb28g-private-top-45", "kernel_id": "105636090"}, {"ref": "nina2025/ps-s5e12-hb27g", "kernel_id": "105596042"}, {"ref": "nina2025/ps-s5e12-segment-setup", "kernel_id": "105497647"}, {"ref": "nina2025/ps-s5e12-hb25g-prototype-of-vertical-blend", "kernel_id": "105431767"}, {"ref": "nina2025/ps-s5e12-hb30g", "kernel_id": "105833336"}, {"ref": "mariamelghareeb/diabetes-prediction-xgboost-k-fold-eda", "kernel_id": "105335119"}, {"ref": "prtkpiyush/ensembling-cat-light-xgb", "kernel_id": "105239856"}, {"ref": "yusufsertkayaysk/ps-s5e12-blend-segment-set-up", "kernel_id": "105011185"}, {"ref": "ajverse/s5e12-kaggle-diabetes-prediction", "kernel_id": "105266184"}, {"ref": "ghost575/multi-seed-gpu-accelerated-lightgbm-optuna", "kernel_id": "105562759"}, {"ref": "veronicagao71/notebookd3c844d6ac", "kernel_id": "105368591"}, {"ref": "lunodiaz/second-test", "kernel_id": "105067395"}, {"ref": "arnavs1231/diabetes-prediction-lgbm-eda-feature-checks", "kernel_id": "105864112"}, {"ref": "alejandrocoronell/diabetes-prediction-models", "kernel_id": "105410941"}, {"ref": "ojassrivastava05/my-top-4-model-blending-approach", "kernel_id": "105198982"}, {"ref": "harshitashibe24/why-this-stacked-ensemble-scores-higher", "kernel_id": "105127152"}, {"ref": "utaazu/s5e12-0-7028-single-catboost-bins-weights", "kernel_id": "105082086"}, {"ref": "mauryagaming/notebook8a6fc6dd19", "kernel_id": "105548913"}, {"ref": "ankush7712/notebookf435e41345", "kernel_id": "105767776"}, {"ref": "doganatmaca/xgboost-lightgbm-catboost", "kernel_id": "105715780"}, {"ref": "doganatmaca/pytorchtabulardataclassificationtutorial", "kernel_id": "105420834"}, {"ref": "radistakriska/predict-diabetes", "kernel_id": "105778112"}, {"ref": "dpheshanranasinghe/diabetes-prediction-challenge-v2", "kernel_id": "105428897"}, {"ref": "dpheshanranasinghe/diabetes-prediction-challenge", "kernel_id": "105402754"}, {"ref": "jjljjl1/diabetes-prediction-challenge", "kernel_id": "105607844"}, {"ref": "preetgujjar/diabetes-prediction-analysis", "kernel_id": "105277921"}, {"ref": "parthibghosh2006/diabetes-prediction", "kernel_id": "105148942"}, {"ref": "ufukckose/s5e12-baseline", "kernel_id": "105079928"}, {"ref": "harishsingh343/stacking-model", "kernel_id": "105472618"}, {"ref": "quuixly/developing-your-own-predictive-model-from-scratch", "kernel_id": "105088541"}, {"ref": "krrishkumarkk/feature-selection-lgbm", "kernel_id": "105106141"}, {"ref": "krrishkumarkk/catboost-lgbm-rank-blend", "kernel_id": "105189307"}, {"ref": "sonu07022005/class-imbalanced-accuracy", "kernel_id": "105366365"}, {"ref": "saamhm/ps-s5e12-catboostclassifier", "kernel_id": "105623951"}, {"ref": "harrybanner/diabetes-prediction", "kernel_id": "105120832"}, {"ref": "jeanjfernandes/diabetes-prediction", "kernel_id": "105129422"}, {"ref": "user412/stacking-logisticregression-score-0-699", "kernel_id": "105792988"}, {"ref": "user412/lightgbm-catboost-auc-0-72", "kernel_id": "105432815"}, {"ref": "bhaviknahar9/diabities-pridiction", "kernel_id": "105921916"}, {"ref": "abhinav0923/diabetesprediction-using-randomforest-and-gradient", "kernel_id": "105816991"}, {"ref": "rubel01/diabetes-prediction-beginner-feature-engineering", "kernel_id": "105270611"}, {"ref": "ameyvichave01/simple-ensemble-lgbm-xgb", "kernel_id": "105979866"}, {"ref": "srishtii01/diabetes-prediction", "kernel_id": "105129912"}, {"ref": "vladosht/imputing-approach-for-diabetes-challenge", "kernel_id": "105303077"}, {"ref": "laasen/s5e12-eda-xgb-competition-starter", "kernel_id": "105116243"}, {"ref": "gtanmoy/diabetes-pred", "kernel_id": "105158785"}, {"ref": "ksaiakhilteja4311/diabetes-predict-eda-boosting-randomizedsearch", "kernel_id": "105513815"}, {"ref": "rushikeshkapadnis/diabetes-gb", "kernel_id": "105615770"}, {"ref": "parthsarnobat/diabetes-prediction-challange", "kernel_id": "105217444"}, {"ref": "hiralrojesara/diabetes-prediction-challenge", "kernel_id": "105483097"}, {"ref": "blesslinjoel/baseline-model-submission", "kernel_id": "105863634"}, {"ref": "mdrehanulbary/diabetes-prediction-challenge-blending", "kernel_id": "105220048"}, {"ref": "ayamkattel62/diabetes-prediction", "kernel_id": "105202539"}, {"ref": "aqibrazadev/diabetes-prediction-xgb-lgbm-catboost", "kernel_id": "105478791"}, {"ref": "arinkumar09/second", "kernel_id": "105150449"}, {"ref": "kiransadam3/s5e12-diabetes-dataset-analysis-with-insights-su", "kernel_id": "105237528"}, {"ref": "ariy12356/kaggle-comp", "kernel_id": "105868661"}, {"ref": "jeffrutko/diabetes-prediction", "kernel_id": "105562012"}, {"ref": "mhasan001/drift-analysisce-mh-v4", "kernel_id": "105248238"}, {"ref": "mohamedelbaz2010/insightful-tips-for-diabetes-challenge-s-0-69693", "kernel_id": "105556730"}, {"ref": "lishellliang/mix-models-metaaug-featureeng-stackingensemble", "kernel_id": "105767307"}, {"ref": "andrews44/diabetes-prediction-lightgbm", "kernel_id": "105714697"}, {"ref": "purpleslurpees/diabetes-prediction", "kernel_id": "105793863"}, {"ref": "abdulkadirsyahab/playground-series-season-5-episode-12", "kernel_id": "106207458"}, {"ref": "mbasharatasghar/diabetes-prediction", "kernel_id": "106874739"}, {"ref": "sauravsinghrautela/baseline-model-for-diabetes-prediction", "kernel_id": "106126374"}, {"ref": "tsoitszkuen/diabetes-predict", "kernel_id": "106959805"}, {"ref": "amashicosta/diabetes-prediction-challenge-random-forest", "kernel_id": "106700413"}, {"ref": "accertoufik/diabetes-prediction-with-85-recall-score", "kernel_id": "106078082"}, {"ref": "parthzadeshwariya/diabetes-prediction-challenge", "kernel_id": "106142245"}, {"ref": "adityakymarmishra/data-analysis-on-medical-datasets", "kernel_id": "106034194"}, {"ref": "yulinwu0901/diabstesprediction", "kernel_id": "106218703"}, {"ref": "bavatharanivethamani/notebook59e0e4743f", "kernel_id": "106141563"}, {"ref": "alexanderredkov/ps-s5e12-diabetes-lightgbm", "kernel_id": "106428007"}, {"ref": "kaushtubhkumar/diabetes-start", "kernel_id": "106401908"}, {"ref": "aekmeddad/diabetes-prediction", "kernel_id": "106227974"}, {"ref": "idabagusmantra/2-diabetes-prediction-challenge-belajar", "kernel_id": "106622502"}, {"ref": "tugbabulutt/playground-series-s5e12", "kernel_id": "106204500"}, {"ref": "danigarci1/eda-optuna-tuning-shap-model", "kernel_id": "107128066"}, {"ref": "mdshahatakash/diabetes-prediction-lightgbm-xgboost-ensemble", "kernel_id": "107595484"}, {"ref": "amashicosta/diabetes-prediction-challenge-logistic-regression", "kernel_id": "107757250"}, {"ref": "krishnendurintu/notebookd4afb1d834", "kernel_id": "107248184"}, {"ref": "palpriyanshu/diabetes-prediction", "kernel_id": "107537237"}, {"ref": "docxian/ps-s6-e02-predicting-heart-disease", "kernel_id": "108460185"}, {"ref": "mariusborel/lgbm-predict-disease", "kernel_id": "108533094"}, {"ref": "amashicosta/diabetes-prediction-challenge-lightgbm", "kernel_id": "108534811"}, {"ref": "suhanigupta04/diabetes-prediction-ensemble-model", "kernel_id": "108254943"}, {"ref": "arkatkhasanov/diabetes-prediction-enhanced-model", "kernel_id": "108132075"}, {"ref": "vishwabarade/ann-diabetes-patient-prediction", "kernel_id": "108298402"}, {"ref": "sevvalclalcebeciolu/diabetes-prediction-reviewed-code", "kernel_id": "108396689"}, {"ref": "sevvalclalcebeciolu/diabetes-diagnostics-reviewed-code", "kernel_id": "108432996"}, {"ref": "sevvalclalcebeciolu/diabetes-prediction-binary-classification", "kernel_id": "108434149"}, {"ref": "leyuzakoksoken/diabetes-prediction-challenge-with-xgboost", "kernel_id": "108265463"}, {"ref": "himanshu6834/notebookd09f97e451", "kernel_id": "108546976"}, {"ref": "sandaruwani2005/eda-of-the-diabetes-dataset-and-data-preprocessing", "kernel_id": "108914148"}, {"ref": "sandaruwani2005/lightgbm", "kernel_id": "108962030"}, {"ref": "sandaruwani2005/xgboost", "kernel_id": "108964062"}, {"ref": "sandaruwani2005/final-ensemble", "kernel_id": "108964906"}, {"ref": "rabiiarfaoui/diabetes-prediction-challenge", "kernel_id": "109717876"}, {"ref": "amashicosta/diabetes-prediction-challenge-lightgbm-nn", "kernel_id": "109001850"}, {"ref": "gehadabdulaziz/diabetes-prediction-eda-feature-engineering-stack", "kernel_id": "109511136"}, {"ref": "nabeelqureshitiii/octolearn-testing", "kernel_id": "109384982"}, {"ref": "enesyama/diabetesclassification", "kernel_id": "109063890"}, {"ref": "jagrutiyuvrajdhangar/diabetes-prediction-4", "kernel_id": "110845139"}, {"ref": "riddymazumder/ml-based-diabetes-prediction-model", "kernel_id": "110232180"}, {"ref": "divyapriya455/diabetes-prediction-challenge-ann", "kernel_id": "110489319"}, {"ref": "aminmahmoudalifayed/golden-diabetes-predictive", "kernel_id": "110263248"}, {"ref": "menonkrishna57/diabetes-prediction-challenge", "kernel_id": "111682596"}, {"ref": "mankeiching/testtest", "kernel_id": "111208344"}, {"ref": "arnayeem2001/student-performance-ml", "kernel_id": "111971253"}, {"ref": "salahmostafaa/diabetes-data-insights", "kernel_id": "112301719"}, {"ref": "pythonknight/catboost-with-stratified-cv-for-high-auc-diabetes", "kernel_id": "112019970"}, {"ref": "anashidqanbari/catboost-with-stratified-cv-for-high-auc-di-783250", "kernel_id": "112487068"}, {"ref": "manabbarman/top-1-gpu-ensemble-oof-stacking", "kernel_id": "112463069"}, {"ref": "manabbarman/diabetes", "kernel_id": "112458839"}, {"ref": "nihalba/diabetespredictionclassification", "kernel_id": "113437169"}, {"ref": "omeraydin1/diabetes-pred", "kernel_id": "113891989"}, {"ref": "ramazanulus/diabetes-prediction-classification-dl", "kernel_id": "113994547"}, {"ref": "zengshengjie/diagnosed-diabetes", "kernel_id": "114785534"}, {"ref": "chenjiaqi223/diabetes-prediction-challenge-with-gpu", "kernel_id": "115936334"}, {"ref": "tugcebasyigit/diabetespredictionchallenge", "kernel_id": "115923920"}, {"ref": "chen912/lightgbm", "kernel_id": "115685344"}, {"ref": "sallytiansq/final-version-lost-ctrl", "kernel_id": "115800666"}, {"ref": "beyondneverdie/notebook23c2ff0251", "kernel_id": "115716971"}, {"ref": "beyondneverdie/notebook8688f36b73", "kernel_id": "115714424"}, {"ref": "heqinyi/good-luck", "kernel_id": "115911758"}, {"ref": "kanoka519/mlp-light-gbm-xgboost", "kernel_id": "116115677"}, {"ref": "zhuyingfanisabella/notebook21479fdc26", "kernel_id": "116074388"}, {"ref": "chen912/mlp-1", "kernel_id": "116152461"}, {"ref": "chen912/xgboost", "kernel_id": "116110520"}, {"ref": "dakshdashora/diabetes-prediction-using-xgboost", "kernel_id": "116216053"}, {"ref": "peijiachen/shawarma-1", "kernel_id": "116083941"}, {"ref": "drown233/you-are-all-right", "kernel_id": "116655786"}, {"ref": "kenneth1120/random-forest", "kernel_id": "116307721"}, {"ref": "beyondneverdie/notebook0692c9e5d4", "kernel_id": "116442468"}, {"ref": "beyondneverdie/notebookd6b3bb7a92", "kernel_id": "116430343"}, {"ref": "beyondneverdie/notebookcae690efe7", "kernel_id": "116430003"}, {"ref": "yarensuluda/diabetes-prediction", "kernel_id": "118298474"}, {"ref": "parthg2007/catboost-tried-random-forest-majority-voting", "kernel_id": "119786312"}, {"ref": "nicolasmli/notebookfaa9d36e81", "kernel_id": "119468149"}, {"ref": "birgulacar89/predicting-diabetes", "kernel_id": "119294701"}, {"ref": "adiace4u/diabetes-prediction-using-xgboost-lightgbm-and-ann", "kernel_id": "120769261"}, {"ref": "mahmutmustafasatlm/notebook5636962535", "kernel_id": "120647204"}, {"ref": "abdulkadirbalci/agu-ml-final-project-diabetes", "kernel_id": "121762766"}, {"ref": "mhskaya/diabetes-prediction-challenge", "kernel_id": "122633992"}, {"ref": "maedehizadi/diabets-prediction", "kernel_id": "123692106"}, {"ref": "martinpelaezdiaz/diabetes-prediction", "kernel_id": "126633654"}, {"ref": "tahmidmir/metabolic-counterfactual-twins-l-digital-twin-l", "kernel_id": "127056442"}, {"ref": "zqx960151285/diabetes-prediction-challenge", "kernel_id": "129266253"}, {"ref": "mdnaimislam165436/diabetes-prediction-challenge", "kernel_id": "131130348"}]}
{"competition_id": "91764", "kernels": []}
{"competition_id": "91804", "kernels": [{"ref": "sonualexantony/bank-customer-churn-prediction-competition", "kernel_id": "75439615"}]}
{"competition_id": "91808", "kernels": []}
{"competition_id": "91810", "kernels": [{"ref": "ateebnoone/lightgbm-for-health-signal-analytics-classifying", "kernel_id": "82196769"}, {"ref": "benjaminbewekedi/classifying-smoker-status", "kernel_id": "83964124"}]}
{"competition_id": "91815", "kernels": [{"ref": "veniaminrakhimov/webbee-ml-kaggle-championship", "kernel_id": "83593609"}, {"ref": "rafaeldrago/ml-internship-challenge", "kernel_id": "83473251"}]}
{"competition_id": "91844", "kernels": [{"ref": "gopidurgaprasad/mfcc-feature-extraction-from-audio", "kernel_id": "10173964"}, {"ref": "gopidurgaprasad/audio-augmentation-albumentations", "kernel_id": "10454909"}, {"ref": "imeintanis/birdclef-interactive-spectrogram-viewer", "kernel_id": "16038242"}, {"ref": "stefankahl/birdclef-2025-sample-submission", "kernel_id": "77937823"}, {"ref": "aayush26/ideas-birdclef-25", "kernel_id": "78979918"}, {"ref": "seshurajup/01-birdset-data-pipeline-tutorial", "kernel_id": "78330812"}, {"ref": "seshurajup/birdclef-2020-2025-all-training-extra-npy-dataset", "kernel_id": "78317615"}, {"ref": "seshurajup/03-birdset-fine-tuning-tutorial", "kernel_id": "78332303"}, {"ref": "seshurajup/02-birdset-tutorial-augmentations", "kernel_id": "78332409"}, {"ref": "kumarandatascientist/lb-0-515-sample-submission", "kernel_id": "78324088"}, {"ref": "kumarandatascientist/lb-0-763-efficientnet-b0-pytorch-inference", "kernel_id": "78800629"}, {"ref": "docxian/birdclef-2025-eda-geography", "kernel_id": "78318307"}, {"ref": "teleportdm/bvc-embedding", "kernel_id": "78546132"}, {"ref": "carlolepelaars/birdclef-2025-species-analysis", "kernel_id": "78583631"}, {"ref": "carlolepelaars/birdclef-2025-simple-submission", "kernel_id": "78592946"}, {"ref": "xiaoazuzong/lb-0-778-efficientnet-b0-pytorch-inference", "kernel_id": "78819266"}, {"ref": "clehmann10/birdclef-eda-tutorial", "kernel_id": "78462067"}, {"ref": "stpeteishii/bird-audio-display", "kernel_id": "78362000"}, {"ref": "stpeteishii/birdclef-2025-geodata", "kernel_id": "78338359"}, {"ref": "shaileshshettyd/tweet-detective-solving-bird-crimes-with-mfcc", "kernel_id": "78837559"}, {"ref": "mpwolke/birdclef-2025-el-silencio-natural-reserve", "kernel_id": "78326313"}, {"ref": "mpwolke/vocal-separation", "kernel_id": "78392387"}, {"ref": "rohitdileep/data-preprocessing-librosa", "kernel_id": "78357753"}, {"ref": "kdmitrie/bc25-birdnet-starter", "kernel_id": "78495670"}, {"ref": "kdmitrie/bc25-separation-voice-from-data", "kernel_id": "78531592"}, {"ref": "kdmitrie/bc25-bvc-starter", "kernel_id": "78511315"}, {"ref": "arminajdehnia/0-734-on-birdclef-2025-public-lb-with-ecapa-tdnn", "kernel_id": "78837897"}, {"ref": "arminajdehnia/enhancing-data-quality-region-extraction-noise", "kernel_id": "78868133"}, {"ref": "robbynevels/bc25-eda", "kernel_id": "78443365"}, {"ref": "robbynevels/bc25-train-specs-db-80-n-16", "kernel_id": "78524333"}, {"ref": "robbynevels/dequantization-example-n-16", "kernel_id": "78912182"}, {"ref": "robbynevels/verify-drop-last", "kernel_id": "78702520"}, {"ref": "camillecampbell/bryer-the-singing-notebook", "kernel_id": "78824829"}, {"ref": "jocelyndumlao/birdclef-2025-mfcc-feature-roc-auc-analysis", "kernel_id": "78405946"}, {"ref": "jocelyndumlao/birdclef-2025-inference-w-simplecnn-spectrogram", "kernel_id": "78480586"}, {"ref": "myso1987/birdclef2025-sound-event-visualisations", "kernel_id": "78949674"}, {"ref": "myso1987/birdclef2025-1-crop-audio-5s", "kernel_id": "78434237"}, {"ref": "myso1987/birdclef2025-2-train-baseline-5s", "kernel_id": "78437371"}, {"ref": "myso1987/birdclef2025-3-submit-baseline-5s", "kernel_id": "78439837"}, {"ref": "tbnguyen/notebook484ad3bdfa", "kernel_id": "78757955"}, {"ref": "agcsdedf/birdclef-2025-base-trainer", "kernel_id": "78427302"}, {"ref": "agcsdedf/birdclef-2025-base-submit", "kernel_id": "78553492"}, {"ref": "agcsdedf/birdclef-2025-openvino-inf", "kernel_id": "78684039"}, {"ref": "samvelkoch/birdclef2025-dataprep-melspecs-224x224-5sec", "kernel_id": "78367666"}, {"ref": "samvelkoch/birdclef2025-dataprep-melspecs-224x224-10sec", "kernel_id": "78386743"}, {"ref": "santyagoamaya/colibria-feature-extraction", "kernel_id": "78467054"}, {"ref": "chrisk321/birdclef-2025-eda-submission", "kernel_id": "78569867"}, {"ref": "comp8oe/birdclef25-translate-jp", "kernel_id": "78399943"}, {"ref": "soyabulislamlincoln/birdclef-2025-viz-and-noise-removal", "kernel_id": "78517663"}, {"ref": "younusmohamed/53-01-complete-eda", "kernel_id": "78660511"}, {"ref": "amritarajput54/fork-of-notebookb9c75bc440-main-now", "kernel_id": "78908074"}, {"ref": "amritarajput54/birdclef-2025-solution-eda-deep-learning-lb0-8", "kernel_id": "78841488"}, {"ref": "kadircandrisolu/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "78727667"}, {"ref": "kadircandrisolu/efficientnet-b0-pytorch-inference-birdclef-25", "kernel_id": "78739069"}, {"ref": "kadircandrisolu/transforming-audio-to-mel-spec-birdclef-25", "kernel_id": "78744232"}, {"ref": "sunnyvarnawal/eda-pytorch", "kernel_id": "78759453"}, {"ref": "fahadalaumodi/fahad-kaggle", "kernel_id": "78829930"}, {"ref": "rahuljiwane/notebook-bird-rahul-jiwane", "kernel_id": "78383972"}, {"ref": "aman2626786/birdclef-2025-data-visualization", "kernel_id": "78826533"}, {"ref": "missideal20/the-one-notebook", "kernel_id": "78793673"}, {"ref": "jordanvigh/notebook7b07bd25a4", "kernel_id": "78938622"}, {"ref": "aissaabdizakaria/zak-try1", "kernel_id": "78571122"}, {"ref": "leogordon/notebookefc0c27d87", "kernel_id": "78815558"}, {"ref": "s230033021/eda-birdclef-2025", "kernel_id": "78895414"}, {"ref": "potamitis/speech-scanner", "kernel_id": "79039694"}, {"ref": "kumarandatascientist/lb-0-804-efficientnet-b0-pytorch-pipeline", "kernel_id": "79130887"}, {"ref": "sonujha090/audio-to-image", "kernel_id": "79906305"}, {"ref": "karthiksk007/bird-classification-inference", "kernel_id": "79618019"}, {"ref": "adedaran/birdclef-2025-classification-audio", "kernel_id": "79790239"}, {"ref": "carlolepelaars/birdclef-2025-embedding-visualization", "kernel_id": "79317754"}, {"ref": "carlolepelaars/generating-audio-embeddings-with-auditus", "kernel_id": "79304929"}, {"ref": "hlly34/birdclef2025-inference", "kernel_id": "79086572"}, {"ref": "ddbrao11/birdclef-2025", "kernel_id": "79179817"}, {"ref": "danielarmel/birdclef-transformer-train", "kernel_id": "79517035"}, {"ref": "rohitdileep/tensorflow-nn-classification", "kernel_id": "79420372"}, {"ref": "arminajdehnia/efficient-spectrogram-storage-using-lmdb", "kernel_id": "79209750"}, {"ref": "robbynevels/bc25-train-baseline", "kernel_id": "79103850"}, {"ref": "robbynevels/bc25-train-specs-signed-db-80-n-16", "kernel_id": "79116091"}, {"ref": "robbynevels/bc25-infer-baseline-gpu", "kernel_id": "79172779"}, {"ref": "noshakeplz/transforming-audio-to-mel-spec-first-5s", "kernel_id": "79036208"}, {"ref": "roeiyehezkel/birdclef-ds-in-industry", "kernel_id": "79374668"}, {"ref": "codingmaster24/birdclef", "kernel_id": "79722329"}, {"ref": "salmanahmedtamu/labels-tta-efficientnet-b0-pytorch-inference", "kernel_id": "79013434"}, {"ref": "srinivasta/ensemble-learning-with-test-time-augmentation", "kernel_id": "79451309"}, {"ref": "liverpool786/fork-of-lb-0-804-ensemble-of-solutions", "kernel_id": "79246110"}, {"ref": "santyagoamaya/colibria", "kernel_id": "79650517"}, {"ref": "petromozil/birdclef20205-hw", "kernel_id": "79270276"}, {"ref": "midcarryhz/lb-0-784-efficientnet-b0-pytorch-cpu", "kernel_id": "79784800"}, {"ref": "sambui22022517/birdclef-2025-data-0", "kernel_id": "79420357"}, {"ref": "sutravedika/birdclef-2025-2", "kernel_id": "79280745"}, {"ref": "amirjordan23/birdclef-2025-simple-train-single-fold1", "kernel_id": "79562107"}, {"ref": "amritarajput54/labels-tta-efficientnet-b0-pytorch-inference", "kernel_id": "79054183"}, {"ref": "vivekgupta1234/birdclef-2025", "kernel_id": "79311616"}, {"ref": "meteorodaniel/birdclef-2025", "kernel_id": "79623555"}, {"ref": "meteorodaniel/birdclef-submission", "kernel_id": "79571165"}, {"ref": "bahaaltanreisolu/bird-clf-2", "kernel_id": "79710946"}, {"ref": "yifanzhao1224/efficientnet-b0-pytorch-inference-birdclef-25", "kernel_id": "79912971"}, {"ref": "zhangyuehan151/notebook0bf7a76cf8", "kernel_id": "79593305"}, {"ref": "cauandom/birdclef-2025-nias-ia-equipe-2-cauan-model", "kernel_id": "79728587"}, {"ref": "hiranorm/lb-0-81-efficientnetv2-b0-pytorch-inference", "kernel_id": "79613193"}, {"ref": "acmaitxst/animal-sound-denoising-and-u-net-training", "kernel_id": "79859528"}, {"ref": "xiazhijian/birdclef-output-20250328", "kernel_id": "79477347"}, {"ref": "fujiemon/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "79805849"}, {"ref": "bachaudhry/birdclef-25-01-exploration-preprocessing", "kernel_id": "80830952"}, {"ref": "quan0095/openvino-py-3-11", "kernel_id": "80608535"}, {"ref": "kazu1998/fork-of-birdclef-25-5fold-focal-random5secondflip2", "kernel_id": "80426527"}, {"ref": "verniy73/transforming-audio-to-mel-spec-without-human-voice", "kernel_id": "80602784"}, {"ref": "verniy73/birdclef-25-5fold-focal-0411", "kernel_id": "80646048"}, {"ref": "paritoshborkar/notebook221abced3a", "kernel_id": "80551889"}, {"ref": "kirillsemenov1315/baseline-v0-inference", "kernel_id": "80770152"}, {"ref": "kirillsemenov1315/baseline-v0-train", "kernel_id": "80728158"}, {"ref": "devasypatel23/birdclef-25-eda", "kernel_id": "80227116"}, {"ref": "shionao7/bird-25-submission-regnety008-v1", "kernel_id": "80690015"}, {"ref": "feliksaltymyshov/birdclef-efficientnet", "kernel_id": "80943441"}, {"ref": "abhinavsharma0706/birds", "kernel_id": "80348402"}, {"ref": "abhinavsharma0706/birdclef-2025", "kernel_id": "80350372"}, {"ref": "laithetrung/data-eda-bc25", "kernel_id": "80919585"}, {"ref": "aminekhammessi/sound-classification", "kernel_id": "80454256"}, {"ref": "sambui22022517/birdclef-2025-data-3", "kernel_id": "80001831"}, {"ref": "sambui22022517/birdclef-2025-data", "kernel_id": "80055439"}, {"ref": "vigneshwar472/dlcv-project-barlow-twins", "kernel_id": "80651393"}, {"ref": "amirjordan23/lb-0-744-effnetb3-justfold4", "kernel_id": "80345013"}, {"ref": "gopalkalawate/mlproject-competitionjoin", "kernel_id": "80715084"}, {"ref": "qmarva/hromagram-generation", "kernel_id": "80451647"}, {"ref": "hongkongbaptist/alllll", "kernel_id": "80222399"}, {"ref": "hongkongbaptist/1hewauifhei", "kernel_id": "80824974"}, {"ref": "jc39963/birdclef-project", "kernel_id": "80148183"}, {"ref": "koushikkumardinda/audio-data-preprocessing-and-feature-extraction", "kernel_id": "80648837"}, {"ref": "koushikkumardinda/birdclef-model-development", "kernel_id": "80335235"}, {"ref": "mariadodonova/birdclef-2025-eda-cv-splits", "kernel_id": "80409371"}, {"ref": "nguyenquangthinhus/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "80640772"}, {"ref": "meteorodaniel/birdclef-2025-pipeline-de-treino", "kernel_id": "80314226"}, {"ref": "geykhh/demo-devoice", "kernel_id": "80562955"}, {"ref": "geykhh/mydataset", "kernel_id": "80574508"}, {"ref": "victormuryn/audio-hw3", "kernel_id": "80212796"}, {"ref": "dmshumskyi/hw3-audio", "kernel_id": "80720782"}, {"ref": "jiahongpi/birdclef20205-hw", "kernel_id": "80131204"}, {"ref": "zhangyuehan151/notebook171357d54e", "kernel_id": "80474487"}, {"ref": "zhangyuehan151/notebookf92cb5986c", "kernel_id": "80809398"}, {"ref": "zhangyuehan151/notebook70240566d2", "kernel_id": "80754481"}, {"ref": "shanqingying/labels-tta-efficientnet-b0-pytorch-inference", "kernel_id": "80089747"}, {"ref": "overvalueawareness/birdclef-2025-ensemblesome", "kernel_id": "80358813"}, {"ref": "overvalueawareness/bird-25-regnety008-v1-default-v1", "kernel_id": "80355654"}, {"ref": "abdullahalshalabi/notebookbd79487063", "kernel_id": "80727563"}, {"ref": "everlyte/labels-tta-efficientnet-b0-pytorch-inference", "kernel_id": "80199347"}, {"ref": "jj1nnu/notebook45f724b38e", "kernel_id": "80095048"}, {"ref": "liu7my/birdclef-2025", "kernel_id": "80211320"}, {"ref": "kaggle1gyk/train", "kernel_id": "80985667"}, {"ref": "kumarandatascientist/bird25-onlyin-lb-834-changed-cfg", "kernel_id": "81767654"}, {"ref": "locnguyen14/birdclef-2025-submission", "kernel_id": "81242833"}, {"ref": "dedquoc/birdclef-2025-audio-process-with-samples-evaluatio", "kernel_id": "81907567"}, {"ref": "tomkkk/change-secondary-labels-in-train-csv", "kernel_id": "81295884"}, {"ref": "hideyukizushi/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829", "kernel_id": "81715828"}, {"ref": "kowshikahmed/datamining-cup", "kernel_id": "81050492"}, {"ref": "nikhilpaleti/eval-cnn-scratch", "kernel_id": "81733322"}, {"ref": "nikhilpaleti/efficient-net-b0-eval", "kernel_id": "81956107"}, {"ref": "nikhilpaleti/birdclef-efficientnetb0-train", "kernel_id": "81954933"}, {"ref": "vrushabhbidari/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "81585965"}, {"ref": "lohithashwa/regnet-008-15-epochs", "kernel_id": "81571594"}, {"ref": "dickschaedel/birdclef-2025-v001-global-distribution", "kernel_id": "81690880"}, {"ref": "divyaprakashr/birdclef-2025-non-speech-activity-detection", "kernel_id": "81402372"}, {"ref": "devasypatel23/using-highpass-filter-to-sieve-out-bird-audio", "kernel_id": "81063237"}, {"ref": "devasypatel23/visualize-samples", "kernel_id": "81860898"}, {"ref": "devasypatel23/analyse-poor-performing-classes", "kernel_id": "81940367"}, {"ref": "samvelkoch/biodenoising", "kernel_id": "81232488"}, {"ref": "shreejithsg/birdclef-shree-grekis", "kernel_id": "81399555"}, {"ref": "shreejithsg/birdclef-grekis", "kernel_id": "81733283"}, {"ref": "lowen2022/bird-25-regnet", "kernel_id": "81417603"}, {"ref": "adamfarrag/yamnet-inference-with-new-classification-head", "kernel_id": "81570694"}, {"ref": "adamfarrag/yamnet-training-new-classification-head", "kernel_id": "81318033"}, {"ref": "mnjalab/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "81983360"}, {"ref": "mnjalab/efficientnet-b0-pytorch-inference-birdclef-25", "kernel_id": "81983621"}, {"ref": "laithetrung/data-eda-bc25-compare-processing", "kernel_id": "81928066"}, {"ref": "kokoyama/center5s-rms-analysis-birdclef2025", "kernel_id": "81424194"}, {"ref": "tomkit11/birdclef-2025-starter-notebook", "kernel_id": "81883219"}, {"ref": "nihadaslanzade/birdclef-timeoptimized", "kernel_id": "81383349"}, {"ref": "sunderekkiz/fork-of-efficientnet-b0-pytorch-inference-bird", "kernel_id": "81573348"}, {"ref": "hongkongbaptist/notebook0496142e5d", "kernel_id": "81270051"}, {"ref": "lizhaoguang/audio-to-mel-spec-5s", "kernel_id": "81335372"}, {"ref": "lizhaoguang/efficientnet-train-birdclef-25", "kernel_id": "81351020"}, {"ref": "lizhaoguang/birdclef-25-inference-efficientnet", "kernel_id": "81361157"}, {"ref": "sarthaksharma083/birdclef-submission", "kernel_id": "81949066"}, {"ref": "therishabhmittal05/birdclef", "kernel_id": "81570748"}, {"ref": "mvidhya123/notebook2ca87e752a", "kernel_id": "81583548"}, {"ref": "haokehan/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "81280414"}, {"ref": "haokehan/try1-2025", "kernel_id": "81747420"}, {"ref": "haokehan/lb-0-804-efficientnet-b0-pytorch-pipeline", "kernel_id": "81747114"}, {"ref": "haokehan/birdclef-25-inference-efficientnet", "kernel_id": "81746202"}, {"ref": "haokehan/efficientnet-b0-pytorch-inference-birdclef-25", "kernel_id": "81746871"}, {"ref": "sanye233/efficientnet-b0-pytorch-train-1", "kernel_id": "81685929"}, {"ref": "venkateshshukla2023/birdsounddetection", "kernel_id": "81940411"}, {"ref": "phonglmnguynduy/train-efficientnet-b0-none-pl", "kernel_id": "81871046"}, {"ref": "phonglmnguynduy/train-efficientnet-b0-pl", "kernel_id": "81994781"}, {"ref": "shankar0x/main-preprocessor", "kernel_id": "81954341"}, {"ref": "oscarsin/birdclef2025-efficientnetb0-5-fold-ensemble-infere", "kernel_id": "81103366"}, {"ref": "aa0909600601/efficientnet-b0-pytorch-inference-birdclef-25", "kernel_id": "81741053"}, {"ref": "harukatou/birdclef-2025-train-pipeline", "kernel_id": "81963752"}, {"ref": "andrewf87/bigdata-submission", "kernel_id": "81846760"}, {"ref": "duymaingoc/birdclef-2025-s-submission", "kernel_id": "81925960"}, {"ref": "meteorodaniel/birdclef-inference", "kernel_id": "81919903"}, {"ref": "behnazj/birdnet-mfcc-cnn", "kernel_id": "81751458"}, {"ref": "anhtuan23004/birdclef-2025", "kernel_id": "81220052"}, {"ref": "illurin/birdinference", "kernel_id": "81222752"}, {"ref": "sinzeglius/birdtrain", "kernel_id": "81099157"}, {"ref": "sinzeglius/birdinference", "kernel_id": "81111944"}, {"ref": "quang0150/birdclef-training", "kernel_id": "81923058"}, {"ref": "binguynhoithng/bc25-submissionwithdb", "kernel_id": "81892321"}, {"ref": "kongyanmiao/efficientnet-b0-pytorch-inference-birdclef-25", "kernel_id": "81578102"}, {"ref": "kongyanmiao/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "81578343"}, {"ref": "haotianyang42/birdclef", "kernel_id": "81526829"}, {"ref": "tad161104/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829", "kernel_id": "81957053"}, {"ref": "reshmachandran26/efficientnet-b0-pytorch-train-birdclef-25-midd", "kernel_id": "81809759"}, {"ref": "jingruixu/birdinference", "kernel_id": "81222818"}, {"ref": "nguynvnln22028281/train-databirdclef", "kernel_id": "81740207"}, {"ref": "enemylist/solution-1", "kernel_id": "81020444"}, {"ref": "trjanhrsehtxmustang/bird-sounds", "kernel_id": "81225824"}, {"ref": "chen350783/notebook4d356b4d29", "kernel_id": "81552177"}, {"ref": "nemoingendaa/vision-transformer-patch8-inference-nemo", "kernel_id": "81430212"}, {"ref": "nemoingendaa/copy-vision-transformer-pytorch-train-jochem", "kernel_id": "81464544"}, {"ref": "andrewschroeder42/birdclef-2025-inference", "kernel_id": "81159900"}, {"ref": "jiahaoli0423/noise-efficient-test", "kernel_id": "81360310"}, {"ref": "chicongn/efficientnet-b0-pytorch-inference-birdclef-25", "kernel_id": "81970483"}, {"ref": "mengsy5522/birdtrain", "kernel_id": "81106016"}, {"ref": "wangningfei/efficientnet-b0-pytorch-inference-wang", "kernel_id": "81436331"}, {"ref": "garystar/efficientnet-b0-pytorch-inference-birdc-356204", "kernel_id": "81450370"}, {"ref": "destuser/wo-rk4", "kernel_id": "81282236"}, {"ref": "destuser/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829", "kernel_id": "81745620"}, {"ref": "nypate9999/rdforest", "kernel_id": "81298407"}, {"ref": "nyoftrung/data-eda-bc25", "kernel_id": "81025618"}, {"ref": "semverstappen/birdclefml-competition-submission", "kernel_id": "81833463"}, {"ref": "semverstappen/birdclefml-training-validation-script", "kernel_id": "81131701"}, {"ref": "bruceqdu/test-20250515", "kernel_id": "82936379"}, {"ref": "tom99763/sound-event-detection-with-tensorflow-probability", "kernel_id": "82955600"}, {"ref": "shyamgupta196/my-dmc-baseline-for-birdclef2025", "kernel_id": "82806274"}, {"ref": "casperverhoeve/efficientnet-b0-smoothed-no-human-inference", "kernel_id": "82817812"}, {"ref": "rustambazarbayev/birdclef-2025-complete-analysis", "kernel_id": "82120523"}, {"ref": "robbynevels/bc25-dataloading-tests", "kernel_id": "82297732"}, {"ref": "vrushabhbidari/efficientnet-b0-pytorch-inference-birdc-b11c79", "kernel_id": "82429233"}, {"ref": "myso1987/post-processing-with-power-adjustment-for-low-rank", "kernel_id": "82968645"}, {"ref": "lohithashwa/ast-training", "kernel_id": "82895410"}, {"ref": "lohithashwa/ast-inference", "kernel_id": "82938713"}, {"ref": "harukadoyu/audio-to-mel-spec", "kernel_id": "82788131"}, {"ref": "harukadoyu/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "82723760"}, {"ref": "hitarthpandey/submission-birdclef", "kernel_id": "82209683"}, {"ref": "ryusukei/create-dataset", "kernel_id": "82717987"}, {"ref": "taxuanduy/whisper-inference-birdclef-25", "kernel_id": "82210158"}, {"ref": "taxuanduy/whisper-finetune-birdclef-25", "kernel_id": "82550435"}, {"ref": "adamfarrag/mobilenetv3l-pytorch-inference-birdclef-25", "kernel_id": "82129486"}, {"ref": "adamfarrag/mobilenetv3l-pytorch-train-birdclef-25", "kernel_id": "82118620"}, {"ref": "adamfarrag/deit-vit-pytorch-inference-birdclef-25", "kernel_id": "82106833"}, {"ref": "adamfarrag/deit-vit-pytorch-train-birdclef-25", "kernel_id": "82096810"}, {"ref": "adamfarrag/transforming-audio-to-mel-spec-224-birdclef-25", "kernel_id": "82098230"}, {"ref": "adamfarrag/yamnet-inference-new-classification-head-focalloss", "kernel_id": "82356363"}, {"ref": "adamfarrag/yamnet-training-new-classification-head-focalloss", "kernel_id": "82353680"}, {"ref": "adamfarrag/mobilenetv3l-inv-focalloss-train-birdclef-25", "kernel_id": "82392958"}, {"ref": "adamfarrag/mobilenetv3l-focalloss-inference-birdcle", "kernel_id": "82403485"}, {"ref": "adamfarrag/mobilenetv3l-invfocalloss-inference-birdclef", "kernel_id": "82468545"}, {"ref": "adamfarrag/resnet-pytorch-inference-birdclef-25", "kernel_id": "82981174"}, {"ref": "adamfarrag/resnet-pytorch-train-birdclef-25", "kernel_id": "82956284"}, {"ref": "mnjalab/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829", "kernel_id": "82802925"}, {"ref": "laithetrung/bc25-eda-audio-augmentation-torch", "kernel_id": "82511047"}, {"ref": "laithetrung/pseudo-label", "kernel_id": "82092324"}, {"ref": "dmunster/eda-efficientnet-b0-inference-birdclef-25", "kernel_id": "82981006"}, {"ref": "svenmeijboom/ensemble-notebook", "kernel_id": "82972173"}, {"ref": "yxw666/train-spec", "kernel_id": "82619426"}, {"ref": "yxw666/bird-data-resample", "kernel_id": "82632232"}, {"ref": "durlabhshukla/simplecnn", "kernel_id": "82298165"}, {"ref": "durlabhshukla/fork-of-birdcelf1", "kernel_id": "82918406"}, {"ref": "hanchenbai/birdclef2025-inference-notebook", "kernel_id": "82941603"}, {"ref": "ducle19/bc25-b0-mpl", "kernel_id": "82577722"}, {"ref": "ducle19/bc25-train-efficientnet-b0", "kernel_id": "82464271"}, {"ref": "anasshahmurshad/birdclef-data-exploration", "kernel_id": "82293948"}, {"ref": "rasamanil/birdclef-2025-working-part1", "kernel_id": "82151569"}, {"ref": "sunderekkiz/fork-of-bird25-onlyinf-v2-s-focallossbce-cv-962-l", "kernel_id": "82215020"}, {"ref": "hongvnphi/psuedo-labeling-birdclef-25", "kernel_id": "82109265"}, {"ref": "palvinder2006/birdclef-training", "kernel_id": "82250604"}, {"ref": "palvinder2006/birdclef-submission", "kernel_id": "82258156"}, {"ref": "sheemamasood/bird-clef-2025-eda", "kernel_id": "82892254"}, {"ref": "sheemamasood/birdclef-2025-data-prepartion", "kernel_id": "82946341"}, {"ref": "pipdesmet/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "82805993"}, {"ref": "haokehan/efficientnet-b0-pytorch-inference-birdc-da099f", "kernel_id": "82797133"}, {"ref": "haokehan/train-2025-spring", "kernel_id": "82396152"}, {"ref": "hanokh/efficientnet-b0-pytorch-train-birdclef-083416", "kernel_id": "82787193"}, {"ref": "behnazj/avianx-2025", "kernel_id": "82215435"}, {"ref": "samasiayushman/ultimate-guide-visualization-statistics", "kernel_id": "82420813"}, {"ref": "shiinehata/birdclef-pcen-cnn", "kernel_id": "82739684"}, {"ref": "quyuet/notebook4e1c63d589", "kernel_id": "82387679"}, {"ref": "quyuet/efficientnet-b0-inference-birdclef-25", "kernel_id": "82388817"}, {"ref": "quyuet/processing-update-params-birdclef-25", "kernel_id": "82388458"}, {"ref": "giacomoballarin/birdclef-2025-sample-submission", "kernel_id": "82172860"}, {"ref": "hosseinbahraminekoo/birdclef-2025-inference", "kernel_id": "82783771"}, {"ref": "shigeokitamura/efficientnet-b0-pytorch-train", "kernel_id": "82846213"}, {"ref": "shigeokitamura/transforming-audio-to-mel-spec", "kernel_id": "82848441"}, {"ref": "shigeokitamura/efficientnet-b0-pytorch-inference", "kernel_id": "82921135"}, {"ref": "yuxuexue/efficientnet-b0-pytorch-train-birdclef-fbc102", "kernel_id": "82724359"}, {"ref": "houxiyu/efficientnet-b0-pytorch-train-birdclef-d285a8", "kernel_id": "82931433"}, {"ref": "devalpatel01/efficientnet-v3", "kernel_id": "82954075"}, {"ref": "goatyogurt/0-5publicscore", "kernel_id": "82576341"}, {"ref": "chingyumarvinwong25/birdclef", "kernel_id": "82651763"}, {"ref": "chingyumarvinwong25/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "82651974"}, {"ref": "sietze535/pseudo-label-creator", "kernel_id": "82416964"}, {"ref": "sietze535/efficientnet-b0-train-w-pseudo-label", "kernel_id": "82343850"}, {"ref": "ngoclinh22nlinh/inference-quy", "kernel_id": "82527757"}, {"ref": "nguynvnln22028281/new-efficientnet-birdclef-25", "kernel_id": "82419481"}, {"ref": "yudgnuh/birdclef", "kernel_id": "82043859"}, {"ref": "phancngdng/duong-train", "kernel_id": "82430261"}, {"ref": "phancngdng/try-quy-code", "kernel_id": "82313355"}, {"ref": "vtqunh/efficientnet-vit", "kernel_id": "82429174"}, {"ref": "nguyndebruyne/t11-birdclef-2025", "kernel_id": "82462899"}, {"ref": "hoamyi/birdclef-2025-cnn-basic-resnet-pipieline", "kernel_id": "82533384"}, {"ref": "dungdogodz/notebook633924022a", "kernel_id": "82530517"}, {"ref": "dungdogodz/ensemble-solution", "kernel_id": "82913218"}, {"ref": "plhyai/birdclef-submission-notebook", "kernel_id": "82140105"}, {"ref": "loekie/inference-on-unknown-model", "kernel_id": "82366544"}, {"ref": "loekie/training-notebook-resnet", "kernel_id": "82993980"}, {"ref": "anlozi/bird-25-regnety008", "kernel_id": "82173622"}, {"ref": "zhangguangdian/bird-train", "kernel_id": "82790341"}, {"ref": "zhangguangdian/inference-work", "kernel_id": "82808771"}, {"ref": "jj1nnu/efficientnet-b0-pytorch-training-birdclef-25", "kernel_id": "82905237"}, {"ref": "jj1nnu/birdclef-2025-convnext-v2-lightgbm-training", "kernel_id": "82891894"}, {"ref": "trtuanq/birdcelf2025-train", "kernel_id": "82472136"}, {"ref": "trtuanq/birdcelf2025", "kernel_id": "82221684"}, {"ref": "tianyun233/efficientnet-pytorch-my", "kernel_id": "82485742"}, {"ref": "huandj/notebook-birdcleft", "kernel_id": "82413161"}, {"ref": "nypate9999/efficientnet-cvn-model", "kernel_id": "82716586"}, {"ref": "nypate9999/efficientnet-model-with-focalloss", "kernel_id": "82770596"}, {"ref": "lequangkhai5122005/bc25-train-birdclef", "kernel_id": "82285896"}, {"ref": "lequangkhai5122005/bc25-submission", "kernel_id": "82367982"}, {"ref": "chandrimaucsd/multiclass-foyie-submit", "kernel_id": "82848813"}, {"ref": "parunchaitimklip/birdclef-l-cn240", "kernel_id": "82013474"}, {"ref": "parunchaitimklip/bird-25-regnety008-v1-0-811", "kernel_id": "82689280"}, {"ref": "demonicv/test-submission", "kernel_id": "82123644"}, {"ref": "bunnoob2005/birdclef-25-with-efficientnet-b0", "kernel_id": "82457852"}, {"ref": "dairuiwei/birdclef-2025-with-drw-second", "kernel_id": "82902730"}, {"ref": "clonelinkcheese/notebook3f4d9a1168", "kernel_id": "82869270"}, {"ref": "kumarandatascientist/bird25-weightedblend-0-88", "kernel_id": "83913480"}, {"ref": "stpeteishii/birdclef-audio-clip-lightning-mlp", "kernel_id": "83321621"}, {"ref": "stpeteishii/birdclef-audio-clip-wav-to-npy", "kernel_id": "83314485"}, {"ref": "hideyukizushi/bird25-nfnet-convnextv2-weightedblend-lb-860", "kernel_id": "83214963"}, {"ref": "dynamo14324/notebookceca9dc954", "kernel_id": "83689349"}, {"ref": "dynamo14324/biodiversity-ml-model", "kernel_id": "83690054"}, {"ref": "digantabhattacharya/clef-dataset-enhancer-pre-process", "kernel_id": "83222709"}, {"ref": "aysenursafak/birdclef-2025-last2", "kernel_id": "83932869"}, {"ref": "ryenhails/efficientnet-b0-pytorch-inference-birdc-ensemb", "kernel_id": "83025979"}, {"ref": "chandanreddy10/birdclef-2025", "kernel_id": "83058289"}, {"ref": "pavelssuskis/bird-clef-nosie-on-file-load", "kernel_id": "83649290"}, {"ref": "vineetdairashri/final-bird25-weightedblend-nfnet-convnext-db", "kernel_id": "83546013"}, {"ref": "vineetdairashri/training-model-3", "kernel_id": "83897155"}, {"ref": "aryagaikwad/efficientnet-b0-pytorch-inference-birdclef-25", "kernel_id": "83200059"}, {"ref": "aryagaikwad/arya-g-efficientnet-b0-pytorch-inference-bird", "kernel_id": "83851276"}, {"ref": "rahibasherief/submission-csv", "kernel_id": "83839549"}, {"ref": "oumiww/bird25beginner-efficientnetb2-0-741", "kernel_id": "83657331"}, {"ref": "sharmajicoder/birdclef-training", "kernel_id": "83172423"}, {"ref": "thebalanceder/bird25-onlyinf-v2-s-focallossbce-cv-962-lb-829", "kernel_id": "83818860"}, {"ref": "adamfarrag/convnext-tiny-pytorch-train-birdclef-25", "kernel_id": "83793150"}, {"ref": "laithetrung/bc25submissionver2", "kernel_id": "83024175"}, {"ref": "sambui22022517/birdclef-2025-data-tiny", "kernel_id": "83076888"}, {"ref": "sambui22022517/birdclef-2025-data-small", "kernel_id": "83055046"}, {"ref": "ttd113/birdclef2025-1-crop-audio-10s", "kernel_id": "83445690"}, {"ref": "johnyim1570/bird25-weightedblend-nfnet-seresnext-0-878", "kernel_id": "83883673"}, {"ref": "manikarikhari/notebook774a8a9a69", "kernel_id": "83100229"}, {"ref": "i2nfinit3y/bird2025-single-sed-model-inference-lb-0-857", "kernel_id": "83232058"}, {"ref": "gregspitz/birdclef-2025-efficientnet-predict-4", "kernel_id": "83967000"}, {"ref": "michael1o2/birdclef25", "kernel_id": "83942435"}, {"ref": "timothylovett/human-voice-removal-caution-around-ruther1", "kernel_id": "83172380"}, {"ref": "yutongzhang20080108/birdclef2025-random-crop-audio-10s", "kernel_id": "83079965"}, {"ref": "yutongzhang20080108/google-bird-vocalization-classifier-clean", "kernel_id": "83679064"}, {"ref": "shkolc/code-notebook-freetojoin-int3405", "kernel_id": "83002448"}, {"ref": "sorachatworasan/training-0-65-0-66", "kernel_id": "83228526"}, {"ref": "sorachatworasan/birdclef2025", "kernel_id": "83232404"}, {"ref": "ricardocipta/birdclef-25-v1", "kernel_id": "83632610"}, {"ref": "spatola/ml-in-practice-assignment", "kernel_id": "83313259"}, {"ref": "sheemamasood/birdclef2025-model-training", "kernel_id": "83318623"}, {"ref": "sheemamasood/birdclef2025-mel-generation", "kernel_id": "83331367"}, {"ref": "sheemamasood/birdclef2025-submissions", "kernel_id": "83570854"}, {"ref": "haokehan/bird-train-final", "kernel_id": "83525712"}, {"ref": "haokehan/to-train-dataset", "kernel_id": "83523046"}, {"ref": "haokehan/bird-infference", "kernel_id": "83571719"}, {"ref": "hurryliu/efficientnet-b0-pytorch-inference-birdc-292701", "kernel_id": "83090982"}, {"ref": "hurryliu/efficientnet-b0-pytorch-train-birdclef-25", "kernel_id": "83078667"}, {"ref": "aa0909600601/bird25-weightedblend-nfnet-convnextv2-lb-860", "kernel_id": "83576235"}, {"ref": "uoftryanren/bird25-inference-seresnext-nfnet-bronze-medal", "kernel_id": "83326444"}, {"ref": "uoftryanren/bird25-openvino-ensemble-infer-baseline-bronze-sol", "kernel_id": "83829056"}, {"ref": "amancy/notebookbc284285fe", "kernel_id": "83945734"}, {"ref": "lanyuchun/generate-2-mel-spectrogram", "kernel_id": "83020572"}, {"ref": "miracklc/resnet-birdclef2025", "kernel_id": "83222924"}, {"ref": "miracklc/mobilenetv3-small-train", "kernel_id": "83260158"}, {"ref": "miracklc/neural-network", "kernel_id": "83524693"}, {"ref": "miracklc/data-visualisations-analysys", "kernel_id": "83534248"}, {"ref": "miracklc/ml-training-gbc-svm", "kernel_id": "83484925"}, {"ref": "miracklc/nn-archithetures", "kernel_id": "83438501"}, {"ref": "miracklc/submission-advanced", "kernel_id": "83403046"}, {"ref": "miracklc/efficientnet-submission", "kernel_id": "83408065"}, {"ref": "miracklc/distillation", "kernel_id": "83409282"}, {"ref": "miracklc/efficientnetv2-s-train", "kernel_id": "83325784"}, {"ref": "miracklc/eff-netv2s", "kernel_id": "83384122"}, {"ref": "hosseinbahraminekoo/birdclef2025-train", "kernel_id": "83043669"}, {"ref": "kongyanmiao/efficientnet-b0-pytorch-inference-birdc-fe474c", "kernel_id": "83212371"}, {"ref": "devalpatel01/efficientnet-v2-submission", "kernel_id": "83161141"}, {"ref": "devalpatel01/efficientnet-pseudolabel-v1", "kernel_id": "83715104"}, {"ref": "devalpatel01/efficientnet-v4", "kernel_id": "83887208"}, {"ref": "sheershsrivas/training-regnet008-on-perch-labels-for-train-data", "kernel_id": "83405800"}, {"ref": "sietze535/pseudo-label-creator-with-dynamic-threshold", "kernel_id": "83444006"}, {"ref": "sietze535/pseudo-label-creator-w-non-linear-threshold-topn", "kernel_id": "83507440"}, {"ref": "alifsathar/bird25-weightedblend-nfnet-convnextv2-lb-860", "kernel_id": "83260518"}, {"ref": "kagger3/notebook1a0bc009bb", "kernel_id": "83431358"}, {"ref": "diogocm/efficientnet-b0-pytorch-inference-birdclef-25", "kernel_id": "83304217"}, {"ref": "plhyai/fork-of-birdclef-submission-notebook", "kernel_id": "83002384"}, {"ref": "loekie/training-notebook-event-detection", "kernel_id": "83877552"}, {"ref": "jj1nnu/birdclef2025-melspecs-256x256-5sec-16bit", "kernel_id": "83524659"}, {"ref": "sinankemalalmaz/the-one", "kernel_id": "83402869"}, {"ref": "markosmarkosyan/notebook8467cb21d0", "kernel_id": "83781657"}, {"ref": "nyoftrung/bc25-eda-convert2meldali", "kernel_id": "83954287"}, {"ref": "aimanwafi99/bird-seeker-2", "kernel_id": "83947991"}, {"ref": "njbaby/birdclef2025-v-2", "kernel_id": "83236066"}, {"ref": "njbaby/transforming-audio-to-mel-spec-birdclef-25", "kernel_id": "83236125"}, {"ref": "pokpong00/training-efficientnet-b3", "kernel_id": "83392483"}, {"ref": "pokpong00/birdclef-v3", "kernel_id": "83171538"}, {"ref": "pokpong00/birdclef-v3-4e3bdc", "kernel_id": "83172086"}, {"ref": "pokpong00/notebook20c2edf1ba", "kernel_id": "83741870"}, {"ref": "asdasadsa/notebook56ddae1392", "kernel_id": "83266187"}, {"ref": "kazutoshiinoue/bird2025-single-sed-model-inference", "kernel_id": "83840026"}, {"ref": "yuchiawu/bird25-openvino-ensemble-infer-baseline-lb-874", "kernel_id": "83808981"}, {"ref": "vialactea/b5-onnxruntime-v1-22", "kernel_id": "84234792"}, {"ref": "vialactea/bird-clef-2025-ensemble-v2-final", "kernel_id": "84660870"}, {"ref": "vialactea/b5-train-ebs-426", "kernel_id": "84967256"}, {"ref": "vladimirsydor/bird-clef-2025-ensemble-v2", "kernel_id": "84290682"}, {"ref": "vladimirsydor/bird-clef-2025-ensemble-v2-final-final", "kernel_id": "84914282"}, {"ref": "vladimirsydor/bird-clef-2025-minimul-inference", "kernel_id": "84967491"}, {"ref": "pondelion/birdclef2025-ensemble-inference", "kernel_id": "84468330"}, {"ref": "siavrez/another-blend-combo-shift-rare", "kernel_id": "84482992"}, {"ref": "leonshangguan/fork-of-fork-of-chektime-final-of-speedup-exp-of-b", "kernel_id": "84672298"}, {"ref": "leonshangguan/chektime-final-of-speedup-exp-of-bird2025-onnx-sub", "kernel_id": "84543367"}, {"ref": "leonshangguan/speedup-exp-of-bird2025-onnx-sub", "kernel_id": "84437961"}, {"ref": "hideyukizushi/bird25-pubnb-g-121-ppv15-convnextv2-nano-e20-s82", "kernel_id": "84189427"}, {"ref": "zuoliao11/birdclef2025-convert-models-openvino", "kernel_id": "84556804"}, {"ref": "zuoliao11/birdclef2025-inference-openvino", "kernel_id": "84557944"}, {"ref": "nikitababich/birdclef2025-1st-place-inference", "kernel_id": "84716535"}, {"ref": "pictureinthenoise/inference-enb0-bird-classification-pub", "kernel_id": "84624241"}, {"ref": "pictureinthenoise/training-enb0-bird-classification-pub", "kernel_id": "84623712"}, {"ref": "lohithashwa/regnet-training-notebook", "kernel_id": "84649015"}, {"ref": "lohithashwa/duration-experiment-with-original-data", "kernel_id": "84482991"}, {"ref": "lohithashwa/efficientnet-duration-exp-with-original-data-inf", "kernel_id": "84528668"}, {"ref": "salmanahmedtamu/fork-of-fork-of-less-smoothing-ensemble-eff-and-nf", "kernel_id": "84452329"}, {"ref": "salmanahmedtamu/20th-place-training", "kernel_id": "84995025"}, {"ref": "maxmelichov/bird25-0-902-auc", "kernel_id": "84006018"}, {"ref": "oles04/birdclef-mulit-label-audio-classification-train", "kernel_id": "84439761"}, {"ref": "oles04/inference-birdclef-model", "kernel_id": "84525374"}, {"ref": "adamfarrag/convnext-tiny-pytorch-inference-birdclef-25", "kernel_id": "84299653"}, {"ref": "dmunster/pseudo-labeling-with-weightedblend-0-88", "kernel_id": "84233939"}, {"ref": "dmunster/pl-power-adjustment-inference-first5-humanless", "kernel_id": "84554961"}, {"ref": "dmunster/pl-efficientnet-b0-pytorch-inference-birdc", "kernel_id": "84552281"}, {"ref": "thitanatnasongkhla/efficientnet-b0-debugging", "kernel_id": "84653269"}, {"ref": "abhijeetsourav/timmsed-training", "kernel_id": "84420902"}, {"ref": "svenmeijboom/calculate-ensemble-weights", "kernel_id": "84267381"}, {"ref": "svenmeijboom/effnet-ensemble", "kernel_id": "84430329"}, {"ref": "svenmeijboom/regnet-ensemble", "kernel_id": "84430217"}, {"ref": "ichigoe/extracting-5-second-segments-with-highest-energy", "kernel_id": "84251020"}, {"ref": "i2nfinit3y/bird2025-9th-place-solution", "kernel_id": "84584339"}, {"ref": "sunderekkiz/bird25-weightedblend-nfnet-seresnext-0-878", "kernel_id": "84018089"}, {"ref": "ngocminhdiego/birdclef", "kernel_id": "84687121"}, {"ref": "mikaelpallas/os-walk2", "kernel_id": "84730413"}, {"ref": "miki42v/birdclef25", "kernel_id": "84524346"}, {"ref": "tranthaiduong123/birdcleff", "kernel_id": "84062241"}, {"ref": "mehedihasanmoon/finala", "kernel_id": "84486407"}, {"ref": "sheemamasood/birdclef2025-psedolabelling-for-ssl", "kernel_id": "84162568"}, {"ref": "haogebob/bird2025-a-great-single-model-lb-0-901", "kernel_id": "84561355"}, {"ref": "tulathornpoonsub/birdsoundeiei", "kernel_id": "84685917"}, {"ref": "yuxuexue/the-version-of-submission", "kernel_id": "84511787"}, {"ref": "houxiyu/birdclef2025-inference-openvino", "kernel_id": "84697819"}, {"ref": "leoferiz/pseudo-train", "kernel_id": "84777320"}, {"ref": "leoferiz/pseudo-creator", "kernel_id": "84763464"}, {"ref": "sheershsrivas/kfold-inference", "kernel_id": "84249273"}, {"ref": "nemoingendaa/efficientnetv2-in21k-pseudo-train", "kernel_id": "84394995"}, {"ref": "nemoingendaa/pseud-label-creator-efficientnet-in21k", "kernel_id": "84437618"}, {"ref": "nemoingendaa/efficientnetv2-in21k-pseudo-14k-inference", "kernel_id": "84508253"}, {"ref": "daniduhnev/efficientnet-b0-pytorch-inference-pseudo-model", "kernel_id": "84314758"}, {"ref": "loekie/inference-notebook-event-detection", "kernel_id": "84212796"}, {"ref": "loekie/multiple-linear-regression-analysis", "kernel_id": "84643778"}, {"ref": "tudorosan03/itdl-2025", "kernel_id": "84514818"}, {"ref": "pokpong00/notebook1f930599bb", "kernel_id": "84839420"}, {"ref": "huojingyu/bird25-weightedblend-nfnet-seresnext-e7d03f", "kernel_id": "85865772"}, {"ref": "niket47/birdclef-2025-fine-tune-ssast-for-classification", "kernel_id": "85456112"}, {"ref": "mariadodonova/birdclef-2025-submission", "kernel_id": "85146474"}, {"ref": "mariadodonova/birdclef-2025-modelling", "kernel_id": "85145291"}, {"ref": "yannaktb/insightful-birdclef-2025-eda", "kernel_id": "85059124"}, {"ref": "aysenursafak/resnet50finetunedmodel", "kernel_id": "86595213"}, {"ref": "rahibasherief/birdclef-inference", "kernel_id": "86670552"}, {"ref": "niket47/birdclef-2025-using-efficient-v2", "kernel_id": "86123633"}, {"ref": "tudorosan03/itdl-sesion-b", "kernel_id": "86390499"}, {"ref": "nochromatic/birdclef-2025-training", "kernel_id": "87917395"}, {"ref": "nochromatic/birdclef-2025-inference", "kernel_id": "87918601"}, {"ref": "hubfor/birdclef-25-transfer-learning-beats", "kernel_id": "88770060"}, {"ref": "hubfor/birdclef-25-transfer-learning-beats-inference", "kernel_id": "88798796"}, {"ref": "xinaocheng/inference-acceleration-pytorch-openvino", "kernel_id": "88264944"}, {"ref": "alexkagozi/birdclef-2025", "kernel_id": "91452579"}, {"ref": "vishwaskaggle645/birdclef2025-1st-place-inference", "kernel_id": "91173807"}, {"ref": "charleswangz/notebook26b0317f42", "kernel_id": "96999813"}, {"ref": "xxjutinnnxx/notebook09aee2a990", "kernel_id": "99358576"}, {"ref": "evelyn03/wh-birdclef", "kernel_id": "99940585"}, {"ref": "robbynevels/bc25-evaluation-512x305-16q-40e", "kernel_id": "102478575"}, {"ref": "mancer146/birdstest", "kernel_id": "102724029"}, {"ref": "licanhou/inference", "kernel_id": "103741735"}, {"ref": "vitaliy612121/idz-matviychukvitalii-6-1212-1", "kernel_id": "103103481"}, {"ref": "nocarbonintelligence/birdclef-eda", "kernel_id": "103238681"}, {"ref": "mancer146/inferenceclefupdated", "kernel_id": "104802327"}, {"ref": "mancer146/clefeda", "kernel_id": "104814906"}, {"ref": "licanhou/model-train", "kernel_id": "104256403"}, {"ref": "cuongng1/efficientnet-b0-pytorch-train-birdclef-70d9b7", "kernel_id": "104372866"}, {"ref": "tangweiyux/bird-clef-2025-ensemble-v2-final", "kernel_id": "105681529"}, {"ref": "quentinshrimpard/submissionnotebook", "kernel_id": "107417177"}, {"ref": "quentinshrimpard/mixedtraining", "kernel_id": "107269495"}, {"ref": "quentinshrimpard/pseudolabeling", "kernel_id": "107231665"}, {"ref": "quentinshrimpard/mobilenettraining", "kernel_id": "107116939"}, {"ref": "gouroveroy/species-identification-in-noisy-soundscapes", "kernel_id": "107627822"}, {"ref": "pointgoat/birdclef-train-baseline1", "kernel_id": "109234946"}, {"ref": "eslamelokpy/birdclef2026-v26c", "kernel_id": "112142232"}, {"ref": "overvalueawareness/bc25-separation-voice-from-data", "kernel_id": "113921445"}, {"ref": "martinaolivato/baseline-training-kerascv", "kernel_id": "115819856"}, {"ref": "samithsachidanandan/transforming-audio-to-mel-spec-birdclef-26", "kernel_id": "117308412"}, {"ref": "martinaolivato/stage-3-multi-stage-pretraining-kerascv", "kernel_id": "117513516"}, {"ref": "martinaolivato/stage-2-multi-stage-pretraining-kerascv", "kernel_id": "117512837"}, {"ref": "samejimatink0/birdclef-2026-hgnetv2-b0-pretrain", "kernel_id": "120653190"}, {"ref": "martinaolivato/stage-4-multi-stage-pretraining-sed", "kernel_id": "120878009"}, {"ref": "tangweiyux/notebookadf4fcf405", "kernel_id": "120854950"}, {"ref": "tangweiyux/notebook1-1", "kernel_id": "120971898"}, {"ref": "tangweiyux/notebook1-2", "kernel_id": "120981452"}, {"ref": "jennyyila/notebook149927cb53", "kernel_id": "127832628"}, {"ref": "jennyyila/yamnet-frozen-lightgbm-export", "kernel_id": "127981643"}, {"ref": "jaysonchen1997/bird-jayson-fastai", "kernel_id": "127622565"}, {"ref": "sachalafargue/projet-oiseau", "kernel_id": "135815364"}]}
{"competition_id": "91865", "kernels": [{"ref": "luiscrmartins/elderly-action-recognition-notebook5fa2fdefa0", "kernel_id": "75533577"}, {"ref": "fdfyaytkt/ear-wacv25-dakiet-tsm-rgb", "kernel_id": "76899130"}]}
{"competition_id": "91877", "kernels": []}
{"competition_id": "91888", "kernels": []}
{"competition_id": "91902", "kernels": [{"ref": "rulerbug/cat-vs-dog-version-2", "kernel_id": "75374730"}, {"ref": "profmanoela/dogs-vs-cats-incomplete-v1", "kernel_id": "75274162"}, {"ref": "kai37006/notebook0768db6647", "kernel_id": "85941030"}, {"ref": "datasciencestudent1/notebook5772eaa12b-dog-or-cat", "kernel_id": "85942023"}, {"ref": "ken141522/notebook-dog-catmaster", "kernel_id": "85941034"}, {"ref": "ryotashikata/notebookeeab6b6d31", "kernel_id": "87338945"}, {"ref": "omggmo/notebook53f3c2ec37", "kernel_id": "87836003"}, {"ref": "omggmo/notebook80694f9b43", "kernel_id": "87839754"}, {"ref": "datasciencestudent1/notebook8ab36b9dac9cd13b827f", "kernel_id": "87334081"}, {"ref": "omggmo/notebook2dd7eeabbe", "kernel_id": "88013361"}]}
{"competition_id": "91903", "kernels": []}
{"competition_id": "91914", "kernels": [{"ref": "sonualexantony/galaxy-classification-prediction-competition", "kernel_id": "75490777"}]}
{"competition_id": "91918", "kernels": [{"ref": "sonualexantony/predicting-depression-based-on-sleep-duration", "kernel_id": "75381060"}]}
{"competition_id": "91923", "kernels": [{"ref": "docxian/pcos-visual-explorations", "kernel_id": "75337989"}, {"ref": "aasirwaseer/xgboost-baseline", "kernel_id": "75841571"}, {"ref": "aasirwaseer/xgb-with-featureforge", "kernel_id": "75847395"}, {"ref": "ravi20076/pcos-baseline-v1", "kernel_id": "75796250"}, {"ref": "alexkalita/catboost-analysis-simple", "kernel_id": "75575027"}, {"ref": "suryanivetha/pcos-detection", "kernel_id": "75899574"}, {"ref": "jasonlloyd/pcos-eda-and-xgboost", "kernel_id": "75737982"}, {"ref": "garrickchinnis/pcos-project", "kernel_id": "75414024"}, {"ref": "sgoutami/pcos-exploring-predictive-health-factors", "kernel_id": "75868444"}, {"ref": "saddasdaasda/2-3-catboost", "kernel_id": "75847224"}, {"ref": "sourav2083/simple-eda-catboost", "kernel_id": "75337676"}, {"ref": "elasgustavoknaus/xgbclassifier-pcos-problem-adasyn-optuna-r-auc", "kernel_id": "75969984"}, {"ref": "zakariaelaoufi/pcos-analysis-and-prediciton", "kernel_id": "75763630"}, {"ref": "ytyfull/pcos-analytics", "kernel_id": "75630010"}, {"ref": "swas06/pcoslogisticregression", "kernel_id": "76658069"}, {"ref": "swas06/pcosrandomforest", "kernel_id": "76844094"}, {"ref": "aboubakarsidickbamba/polycystic-ovary-syndrome-pcos", "kernel_id": "76020799"}, {"ref": "kato345/visualizedata", "kernel_id": "76253265"}, {"ref": "angelsotogarca/pcos-prediction-with-random-forest", "kernel_id": "76286671"}, {"ref": "chrisk321/exploring-predictive-health-factors-eda", "kernel_id": "76091059"}, {"ref": "s4mik4dr/explor-predict-healthfactors-randomforest", "kernel_id": "76313542"}, {"ref": "snehalkhandewale/pcos-base-models", "kernel_id": "76841009"}, {"ref": "litsea/pcos-eda-fe-logreg-xgboost", "kernel_id": "76321153"}, {"ref": "samanyuk/pcoss", "kernel_id": "76653935"}, {"ref": "takashitsuda/exploring-predictive-health-factors-using-catboost", "kernel_id": "76407890"}, {"ref": "saddasdaasda/try-more-no-more", "kernel_id": "76451571"}, {"ref": "saddasdaasda/0-907-i-surrender", "kernel_id": "76207261"}, {"ref": "saddasdaasda/2-7pcos", "kernel_id": "76119317"}, {"ref": "nil2012/pcos-prediction", "kernel_id": "76377367"}, {"ref": "jorapro/eda-catboost-and-data-syntezis", "kernel_id": "76548004"}, {"ref": "majdouline20/predictive-health-factors", "kernel_id": "76307744"}, {"ref": "rishiiiiii0099/exploring-predictive-health-factors", "kernel_id": "76421320"}, {"ref": "sukanyaasundaram/pcos-v1", "kernel_id": "76209807"}, {"ref": "momtahin/pcos-1", "kernel_id": "77369142"}, {"ref": "vivekvittalbiragoni/pcos-base-models", "kernel_id": "78900442"}, {"ref": "minhaz07/exploring-predictive-health-factors", "kernel_id": "78759871"}, {"ref": "yuvika2312/pcos-eda", "kernel_id": "78589089"}, {"ref": "laurendcosta/pcos-intro-to-machine-learning-code", "kernel_id": "111601342"}]}
{"competition_id": "91930", "kernels": []}
{"competition_id": "91934", "kernels": []}
{"competition_id": "91946", "kernels": [{"ref": "jonathanbouchet/eda-vectorautoregression", "kernel_id": "81475666"}]}
{"competition_id": "91949", "kernels": []}
{"competition_id": "91962", "kernels": []}
{"competition_id": "91969", "kernels": []}
{"competition_id": "91985", "kernels": []}
{"competition_id": "91986", "kernels": []}
{"competition_id": "92014", "kernels": [{"ref": "dziodzi/dziodzi", "kernel_id": "78895595"}]}
{"competition_id": "92050", "kernels": []}
{"competition_id": "92052", "kernels": []}
{"competition_id": "92059", "kernels": []}
{"competition_id": "92092", "kernels": [{"ref": "highflyingbird/pr-diction-avec-mt0-xxl-ajust", "kernel_id": "75567515"}, {"ref": "fernandosr85/wikipedia-infobox-and-textmine-dataset-integration", "kernel_id": "81059573"}]}
{"competition_id": "92102", "kernels": [{"ref": "ansarimohammedafzal3/tabular-california-housing", "kernel_id": "98033363"}]}
{"competition_id": "92126", "kernels": []}
{"competition_id": "92132", "kernels": []}
{"competition_id": "92136", "kernels": []}
{"competition_id": "92140", "kernels": []}
{"competition_id": "92142", "kernels": []}
{"competition_id": "92150", "kernels": []}
{"competition_id": "92151", "kernels": [{"ref": "prathamjyotsingh/kaggle-hack-v1", "kernel_id": "75634145"}, {"ref": "hardiksingla2907/hack-3", "kernel_id": "75635397"}, {"ref": "somyaban/multiclass-classification-using-pycaret", "kernel_id": "75715260"}, {"ref": "abhinavraj091/notebookc90c724471", "kernel_id": "75735980"}, {"ref": "jashandeepkairwy/thapar-kaggle-hack-v01", "kernel_id": "75804714"}, {"ref": "itztusharjain/notebookf08cb451b7", "kernel_id": "75800385"}, {"ref": "dilpreetkaur17/hack-thapar", "kernel_id": "76262406"}]}
{"competition_id": "92153", "kernels": [{"ref": "antoinebourgois2/notebook7f94397139", "kernel_id": "104872641"}]}
{"competition_id": "92174", "kernels": []}
{"competition_id": "92210", "kernels": []}
{"competition_id": "92213", "kernels": []}
{"competition_id": "92216", "kernels": []}
{"competition_id": "92227", "kernels": []}
{"competition_id": "92230", "kernels": []}
{"competition_id": "92235", "kernels": [{"ref": "nicholasvettor/1st-place-alzheimer-s-risk-xgboost-optuna", "kernel_id": "76741424"}, {"ref": "nitronix/notebookc7779cf5bc", "kernel_id": "76860952"}, {"ref": "monicahnjiiri/alzheimer-s-disease-prediction-model-rf", "kernel_id": "76924785"}, {"ref": "brysonjameshewins/alzheimer-s-risk-prediction-xgboost-optuna", "kernel_id": "77094676"}, {"ref": "gentralgresham/dementia-prediction", "kernel_id": "133878759"}]}
{"competition_id": "92241", "kernels": []}
{"competition_id": "92244", "kernels": []}
{"competition_id": "92245", "kernels": []}
{"competition_id": "92255", "kernels": []}
{"competition_id": "92259", "kernels": [{"ref": "tojoh15/assignment", "kernel_id": "75859127"}, {"ref": "tojoh15/svm-solution-example", "kernel_id": "76436473"}, {"ref": "luistorres409/catboost-optuna", "kernel_id": "76693437"}, {"ref": "thorminator/optimized-svm", "kernel_id": "76848014"}, {"ref": "thorminator/gradientboosting-score-37-can-become-low-20", "kernel_id": "76374088"}]}
{"competition_id": "92265", "kernels": [{"ref": "thuynhivn/kaggle-competition-2", "kernel_id": "76948902"}, {"ref": "danielgalili/project-9-business-analytics-capestone", "kernel_id": "76539933"}, {"ref": "brianolave/notebook-for-competition-2", "kernel_id": "76536104"}]}
{"competition_id": "92275", "kernels": [{"ref": "mvskoushik1/marvels6e1717f8c5", "kernel_id": "93949666"}]}
{"competition_id": "92302", "kernels": []}
{"competition_id": "92313", "kernels": [{"ref": "yugandhar21/kaggle-hack-v02", "kernel_id": "75985860"}, {"ref": "medha2901/notebook2ed5fb5bfc", "kernel_id": "75993731"}, {"ref": "thiagomantuani/thapar-kaggle-hack-v02-2nd-place-solution", "kernel_id": "76475126"}, {"ref": "sumit2garg/kaggle-hack-v02", "kernel_id": "76013491"}, {"ref": "devanjalipatel/kaggle-hack-dev", "kernel_id": "76143246"}, {"ref": "jb2026/102383041-kaggle-hack-v02", "kernel_id": "76013328"}, {"ref": "armaanpreet123/notebookc78a0eea86", "kernel_id": "76064194"}, {"ref": "abhinavraj091/notebookc61382c324", "kernel_id": "76017935"}, {"ref": "abhinavraj091/notebookb0904d65ac", "kernel_id": "76009430"}, {"ref": "anqitchoudhary/kagglehackv02", "kernel_id": "76243999"}, {"ref": "anqitchoudhary/kaglehack-v02", "kernel_id": "76304820"}, {"ref": "anqitchoudhary/upvotelol", "kernel_id": "76439120"}, {"ref": "anqitchoudhary/kigal", "kernel_id": "76437764"}, {"ref": "anqitchoudhary/kigal2", "kernel_id": "76438332"}, {"ref": "anqitchoudhary/kagglehack-v02", "kernel_id": "76435965"}, {"ref": "anqitchoudhary/kagglekaggle3", "kernel_id": "76436855"}]}
{"competition_id": "92318", "kernels": [{"ref": "noureddineridanr96/forecasting-sticker-sales-clone", "kernel_id": "75956951"}, {"ref": "mohamedramadan2040/customer-distribution-by-country", "kernel_id": "87906754"}, {"ref": "hmnshudhmn24/forecasting-sticker-sales-clone", "kernel_id": "107327005"}]}
{"competition_id": "92334", "kernels": []}
{"competition_id": "92342", "kernels": []}
{"competition_id": "92363", "kernels": [{"ref": "mohamedatef20/competition-notebook-messy-food-waste-prediction", "kernel_id": "76133430"}, {"ref": "mohamedatef20/food-waste-prediction", "kernel_id": "76155770"}, {"ref": "alialaa22/notebook7b14abd87c", "kernel_id": "76944458"}, {"ref": "honeybadger007/best-model", "kernel_id": "76807781"}, {"ref": "mohammedkhaledboyka/mohammed-khaled-shehatah-hussain-amit-ai-ml", "kernel_id": "76338663"}, {"ref": "seshasaibellamkonda/my-first-comp", "kernel_id": "77165337"}, {"ref": "mohamedwaleed314/messy-food-waste-prediction", "kernel_id": "90688950"}]}
{"competition_id": "92386", "kernels": [{"ref": "yashbhattml/final-knn", "kernel_id": "76606313"}]}
{"competition_id": "92394", "kernels": []}
{"competition_id": "92396", "kernels": []}
{"competition_id": "92398", "kernels": []}
{"competition_id": "92399", "kernels": [{"ref": "sabyrbazarymbetov/nexar-eda", "kernel_id": "76770793"}, {"ref": "salmakelsheikh/dashcam-crash", "kernel_id": "76915516"}, {"ref": "saikrishnareddy0811/nexar", "kernel_id": "76881436"}, {"ref": "shiyili/nexar-resize-videos", "kernel_id": "77070724"}, {"ref": "fernandosr85/dashcam-collision-prediction-project", "kernel_id": "77907993"}, {"ref": "sacuscreed/fork-of-nexar-cnngru", "kernel_id": "77672739"}, {"ref": "sandiledesmondmfazi/nexar-dcp-challenge-baseline", "kernel_id": "77623150"}, {"ref": "younusmohamed/49-01-complete-eda", "kernel_id": "77249448"}, {"ref": "younusmohamed/49-02-sample-code", "kernel_id": "77319596"}, {"ref": "swathi2004m/dashcam-car-crash-prediction-challenge", "kernel_id": "77318709"}, {"ref": "yohaanardeni/nexarcompetition", "kernel_id": "77842612"}, {"ref": "emrekaany/preprocessing-guide-optical-flow-application", "kernel_id": "77332884"}, {"ref": "emrekaany/preprocessing-object-speed-by-yolov8-deepsort", "kernel_id": "77249951"}, {"ref": "quentinducoulombier/nexar-test", "kernel_id": "78192970"}, {"ref": "hachixya/submit-swin3d", "kernel_id": "78649349"}, {"ref": "overvalueawareness/nexar-dcp-challenge-baseline", "kernel_id": "78215098"}, {"ref": "aniruddhapa/crash-prediction-with-cnn-lstm-hybrid-0-675-lb", "kernel_id": "79525663"}, {"ref": "kwonnayeon/nexar-dcp-from-file-import-to-eda", "kernel_id": "79983706"}, {"ref": "younusmohamed/49-03-3d-cnn", "kernel_id": "79288348"}, {"ref": "hachixya/mvit-modele-nexar-competiton", "kernel_id": "79243601"}, {"ref": "johnnishoremichael/mobile-net-model", "kernel_id": "79830698"}, {"ref": "johnnishoremichael/caution-model", "kernel_id": "79450848"}, {"ref": "mvhaiderzaidi/nexar-dataset-fahad", "kernel_id": "81135129"}, {"ref": "younusmohamed/49-04-resnet50-bilstm", "kernel_id": "81782586"}, {"ref": "haileyyewon/nexar-dcp-challenge-02", "kernel_id": "81194768"}, {"ref": "fahaad77/final-nexar-dataset-fahad-classification-final", "kernel_id": "81183295"}, {"ref": "fahaad77/final-nexar-dataset-fahad-objectdetection", "kernel_id": "81182760"}, {"ref": "emrekaany/simple-baseline-model-ready-for-your-improvements", "kernel_id": "81111818"}, {"ref": "sohilaelmassry/simple-crash-prediction", "kernel_id": "81470818"}, {"ref": "iseedeep/nexar-dashcam-crash-ead-with-deeprage", "kernel_id": "81305797"}, {"ref": "paulendresen76/nexar-inference-with-mvit-v2-s-model", "kernel_id": "82302060"}, {"ref": "mzwager/inference-notebook-lb-0-861", "kernel_id": "82948198"}, {"ref": "gopimali/slow-fast", "kernel_id": "82112443"}, {"ref": "thqunhngak18qn/nexar-eda", "kernel_id": "85707547"}, {"ref": "shubhamkumar056/tata-innovate-ddd", "kernel_id": "91332020"}, {"ref": "rohamnodoust/car-crash-detector", "kernel_id": "98474802"}, {"ref": "nazzmullxdxd/nexar-expert-systems-with-applications", "kernel_id": "114903557"}, {"ref": "zaahiduulislam/fork-of-event-centered-dashcam-collision-recogniti", "kernel_id": "124867165"}, {"ref": "abbasmirzaei/nexar-collision", "kernel_id": "129964488"}, {"ref": "tranminhhuy15/cpv301", "kernel_id": "134272999"}, {"ref": "tranminhhuy15/riskprop", "kernel_id": "134842869"}, {"ref": "tranminhhuy15/top-models", "kernel_id": "134953406"}]}
{"competition_id": "92401", "kernels": [{"ref": "abdullahalmughamisi/g-10-moi", "kernel_id": "76308229"}, {"ref": "raghadlqahtani/final-version", "kernel_id": "76464572"}, {"ref": "sultan1113/mnistxcifar", "kernel_id": "76594598"}, {"ref": "khatim10/moi-competetion-group4", "kernel_id": "76610817"}, {"ref": "muttazalshahrani/course-project-starting-point", "kernel_id": "76304697"}, {"ref": "mohammedsalshehri/group-3", "kernel_id": "76300344"}, {"ref": "faisalaldayri/group12-resnet", "kernel_id": "76603632"}, {"ref": "abdelrahmaneldesokey/course-project-starting-point", "kernel_id": "76223619"}, {"ref": "samighamdi90/runnable-notebook-group-8", "kernel_id": "76357250"}]}
{"competition_id": "92407", "kernels": []}
{"competition_id": "92408", "kernels": []}
{"competition_id": "92431", "kernels": []}
{"competition_id": "92463", "kernels": []}
{"competition_id": "92467", "kernels": []}
{"competition_id": "92477", "kernels": [{"ref": "baserker/notebook539b50aea2", "kernel_id": "78590273"}, {"ref": "ayidana/notebook", "kernel_id": "80495621"}]}
{"competition_id": "92478", "kernels": []}
{"competition_id": "92479", "kernels": []}
{"competition_id": "92485", "kernels": [{"ref": "danielkkkkho/notebook41601e235e", "kernel_id": "76600957"}, {"ref": "danielkkkkho/notebook5aa3db44a3", "kernel_id": "76816261"}, {"ref": "nashiratulhusni123/notebook-praditya-wiratama", "kernel_id": "76828813"}]}
{"competition_id": "92497", "kernels": []}
{"competition_id": "92499", "kernels": []}
{"competition_id": "92501", "kernels": [{"ref": "bbbxttt/heisenberg-groups-random-walk", "kernel_id": "57992377"}, {"ref": "alexandervc/growth-4simple-permutations-torch-gpu", "kernel_id": "64721392"}, {"ref": "alexandervc/beamsearch-basic", "kernel_id": "65244711"}, {"ref": "avm888/group-elements-decomposition-gap-limits", "kernel_id": "71988075"}, {"ref": "avm888/gap-limit-is-n-33-for-s-n-and-generators-1-2-and", "kernel_id": "72995510"}, {"ref": "artgor/encoding-as-permutation-matrix-1d-cnn", "kernel_id": "75596979"}, {"ref": "artgor/encoding-as-permutation-mat-simple-2d-cnn", "kernel_id": "75564756"}, {"ref": "bbbxttt/wip-symmetric-groups-with-lrx-random-walk", "kernel_id": "75882878"}, {"ref": "antoninadolgorukova/lrx-sorting-networks", "kernel_id": "75781213"}, {"ref": "ivankolt/generation-of-incidence-mtx-pancake", "kernel_id": "75181336"}, {"ref": "ivankolt/cg-search-for-different-generators", "kernel_id": "75296085"}, {"ref": "ivankolt/cayleypy-other-groups-w-train-008095", "kernel_id": "75857242"}, {"ref": "sergeifironov/permutation-transformer-solver-100", "kernel_id": "76066771"}, {"ref": "sergeifironov/gready-algorithm", "kernel_id": "76079840"}, {"ref": "iggisv9t/drawing-cayley-graphs-with-mds", "kernel_id": "76799669"}, {"ref": "ogurtsov/gumbel", "kernel_id": "76313323"}, {"ref": "fedmug/rl-dynamic-programming-on-small-lrx", "kernel_id": "76361951"}, {"ref": "fedmug/lrx-optimal-solution-for-n-8", "kernel_id": "76735485"}, {"ref": "fedmug/lrx-shifts-starting-with-x", "kernel_id": "76790242"}, {"ref": "fedmug/lrx-longest-paths", "kernel_id": "76956435"}, {"ref": "mixnota/article-project", "kernel_id": "76739668"}, {"ref": "alexandervc/lrx-cayleypy-baseline2-mlp", "kernel_id": "76615593"}, {"ref": "alexandervc/lrx-beamsearchfironov-hamming", "kernel_id": "76447980"}, {"ref": "alexandervc/lrx-cayleypy-baseline1-catboost", "kernel_id": "76438120"}, {"ref": "alexandervc/permutations-numpy-torch-sympy-tutorial", "kernel_id": "76266863"}, {"ref": "alexandervc/lrx-nonbacktracking-random-walks", "kernel_id": "76240890"}, {"ref": "alexandervc/lrx-cayleypy-rl-mdqn", "kernel_id": "76801979"}, {"ref": "antoninakorolkova/lrx-bs-hamming-test", "kernel_id": "76718435"}, {"ref": "nursmen/lrx-transformer-training", "kernel_id": "76649400"}, {"ref": "nursmen/lrx-transformer-use", "kernel_id": "76655628"}, {"ref": "dsfkjhlksadjhf/lrx-cayleypy-baseline2-mlp", "kernel_id": "76840312"}, {"ref": "luxoove/lrx-optimal-algorithm-two-ways-bubble-sort", "kernel_id": "76156199"}, {"ref": "lidiashishina/lrx-cayleypy-baseline1-catboost", "kernel_id": "76702807"}, {"ref": "antoninadolgorukova/lrx-adaptive-block-sorting-approach", "kernel_id": "76115459"}, {"ref": "antoninadolgorukova/lrx-gbdt-powered-pathfinding", "kernel_id": "76573027"}, {"ref": "antoninadolgorukova/lrx-random-walks-comparison", "kernel_id": "76443380"}, {"ref": "antoninadolgorukova/lrx-catboost-bs-longest-perms-solutions", "kernel_id": "76837653"}, {"ref": "rustemturtayev/lrx-cayleypy-baseline2-mlp", "kernel_id": "76920886"}, {"ref": "nikolenkosergei/lrx-cayleypy-baseline2-mlp", "kernel_id": "76799047"}, {"ref": "nikolenkosergei/spectrum-analysis", "kernel_id": "76433772"}, {"ref": "ivankolt/lrx-cayleypy-baseline2-mlp", "kernel_id": "76841425"}, {"ref": "ivankolt/lrx-4bit", "kernel_id": "76091650"}, {"ref": "ivankolt/lrx-4bit-uint64", "kernel_id": "76174494"}, {"ref": "ivankolt/lrx-4bit-uint64-coset", "kernel_id": "76366040"}, {"ref": "veniaminnelin/simple-solution", "kernel_id": "76113200"}, {"ref": "lhikki/extended-and-reformulated-proofs-of-lower-bound", "kernel_id": "76448021"}, {"ref": "dariyamamayeva/lrx-cayleypy-baseline2-mlp", "kernel_id": "76843683"}, {"ref": "sergeifironov/lrx-cayleypy-rl-mdqn-run2", "kernel_id": "77301934"}, {"ref": "sergeifironov/fork-of-lrx-cayleypy-rl-mdqn-run3", "kernel_id": "77303998"}, {"ref": "sergeifironov/lrx-cayleypy-rl-mdqn-scaling-loss-clip-grads", "kernel_id": "77306739"}, {"ref": "fedmug/lrx-random-walk-asymptote", "kernel_id": "77607385"}, {"ref": "mixnota/lrx-random-walks-analysis", "kernel_id": "77204867"}, {"ref": "rustemturtayev/lrx-cayleypy-rl-mdqn-f50a8c", "kernel_id": "77140014"}, {"ref": "rustemturtayev/lrx-cayleypy-rl-mdqn-d44272", "kernel_id": "77151352"}, {"ref": "arseniylenin/group-theory-via-gap-part-1-1db502", "kernel_id": "77004340"}, {"ref": "nikolenkosergei/get-reversals-generators", "kernel_id": "77863733"}, {"ref": "fedmug/lrx-coset-growth", "kernel_id": "78507464"}, {"ref": "fedmug/lrx-inversions-for-small-n", "kernel_id": "78104238"}, {"ref": "fedmug/lrx-growth-distribution", "kernel_id": "78231216"}, {"ref": "simaregele/lrx-cayleypy-rl-mdqn", "kernel_id": "78187382"}, {"ref": "geraseva/lrx-cayleypy-rl-mdqn", "kernel_id": "78378109"}, {"ref": "jocelyndumlao/lrx-brainstorm-math-puzzle-permutations", "kernel_id": "78793635"}, {"ref": "avm888/universal-numbers-like-bfs", "kernel_id": "78301454"}, {"ref": "ivankolt/lrx-cayleypy-rl-mdqn-upd", "kernel_id": "78530645"}, {"ref": "artgor/lrx-cayleypy-rl-mdqn-multiple-runs", "kernel_id": "79904581"}, {"ref": "artgor/fork-of-lrx-cayleypy-rl-mdqn-multiple-runs-1", "kernel_id": "79904675"}, {"ref": "alexandervc/random-walks-with-moves", "kernel_id": "79461427"}, {"ref": "kanavis/perm-grp-n8-total-graph", "kernel_id": "79585491"}, {"ref": "nursmen/lrx-cayleypy-rl-mdqn-multiple-runs", "kernel_id": "79903684"}, {"ref": "antoninadolgorukova/lrx-rw-bs-parameters-in-gbdt-guided-beam-search", "kernel_id": "79606201"}, {"ref": "antoninadolgorukova/lrx-cayleypy-rl-mdqn-multiple-runs", "kernel_id": "79091133"}, {"ref": "kanavis/perm-grp-n10-total-graph", "kernel_id": "80448690"}, {"ref": "fedimser/lrx-oeis-a186783-solution", "kernel_id": "81274100"}, {"ref": "kanavis/perm-n10-total-graph-size-214-218", "kernel_id": "81189056"}, {"ref": "ivankolt/lrx-cayleypy-rl-mdqn-multiple-runs-scheduler", "kernel_id": "81527969"}, {"ref": "ivankolt/lrx-cayleypy-rl-mdqn-multiple-runs-jax-ntk", "kernel_id": "81072393"}, {"ref": "ivankolt/cayleypy-howto", "kernel_id": "81322060"}, {"ref": "allogn/cayleypy-lrx-n-k", "kernel_id": "83705561"}, {"ref": "lidiashishina/cayleypy-howto", "kernel_id": "83544150"}, {"ref": "ivankolt/wigner-semicircle-eigenvals", "kernel_id": "83477661"}, {"ref": "ivankolt/cayleypy-wigner-semicircle", "kernel_id": "83256527"}, {"ref": "allogn/fork-of-cayleypy-lrx-n-k-n-13-k-6", "kernel_id": "84187020"}, {"ref": "allogn/cayleypy-lrx-n-k-diagonal-check", "kernel_id": "84196998"}, {"ref": "allogn/cayleypy-lrx-n-k-n-13-k-6", "kernel_id": "84141604"}, {"ref": "erotar/wigner-semicircle-eigenvals", "kernel_id": "84697424"}, {"ref": "erotar/cayleypy-howto", "kernel_id": "84160719"}, {"ref": "aparnevan/cayleypy-3-pancake-graphs", "kernel_id": "84655319"}, {"ref": "visualcomments/cayleypy-coxeter-generators", "kernel_id": "84032045"}, {"ref": "geraseva/cayleypy-burnt-pancake", "kernel_id": "84015170"}, {"ref": "hassanaldossari/cayleypy-howto", "kernel_id": "84634065"}, {"ref": "arnoldgrigorian/lrx-4bit-uint64", "kernel_id": "84233471"}, {"ref": "vestakhazova/cayleypy-lxr-cosets-k-repeats", "kernel_id": "84919693"}, {"ref": "lidiashishina/cayleypy-pancake-growth", "kernel_id": "84815730"}, {"ref": "nikitavet/cayleypy-signed-lrx-with-flexible-position", "kernel_id": "84775517"}, {"ref": "nikitavet/cayleypy-signed-lrx", "kernel_id": "84432611"}, {"ref": "olgapavlyuk/cayleypy-pancake", "kernel_id": "84206690"}, {"ref": "ivankolt/any-group-4bit-uint64", "kernel_id": "84964942"}, {"ref": "lilypilly/cayleypy-skewb", "kernel_id": "84728617"}, {"ref": "antonzhukovkaggle/wigner-semicircle-eigenvals", "kernel_id": "84101564"}, {"ref": "yaroshenko/cayleypy-olympic-circles", "kernel_id": "85081848"}, {"ref": "mrnnnn/lrx-cayleypy-rl-no-pretr-mdqn-rand-permn-gen", "kernel_id": "85233787"}, {"ref": "rustemturtayev/cayleypy-permutohedron", "kernel_id": "85691596"}, {"ref": "artemsemidetnov/cayleypy-howto", "kernel_id": "85900044"}, {"ref": "kamkamkami/cayleypy-3-pancake-r-n-3", "kernel_id": "85865238"}, {"ref": "dasddd/cayleypy-log-scale", "kernel_id": "85704919"}, {"ref": "issident/cayleypy-howto-b0d951", "kernel_id": "85905582"}, {"ref": "altananatyrova/cayleypy-allcycles-birkhoff", "kernel_id": "85231110"}, {"ref": "artemisakov01/cayleypy-dearrangements", "kernel_id": "85276036"}, {"ref": "mrnnnn/lrx-cayleypy-rl-beam-search-only", "kernel_id": "86890639"}, {"ref": "ivankolt/cayleypy-howto-bfs-bitmask", "kernel_id": "87006389"}, {"ref": "artemisakov01/cayleypy-stargraph", "kernel_id": "87265079"}, {"ref": "fedimser/checking-longests-paths-for-lrx", "kernel_id": "88628283"}, {"ref": "artemisakov01/cayleypy-involutive-dearrangements", "kernel_id": "88469801"}, {"ref": "eveelina/cayleypy-reversals-dearrangements", "kernel_id": "89195789"}, {"ref": "fedmug/lx-growth-distribution", "kernel_id": "90993864"}, {"ref": "altananatyrova/cayleypy-lsl-cycles", "kernel_id": "90343145"}, {"ref": "ani3221/checking-longests-paths-for-lrx", "kernel_id": "90725490"}, {"ref": "eveelina/cayleypy-transposons-dearrangements", "kernel_id": "90582170"}, {"ref": "artemisakov01/cayleypy-generalized-stargraph", "kernel_id": "90808242"}, {"ref": "ogurtsov/gumbel-new-data", "kernel_id": "91178009"}, {"ref": "mkeriy/lrxsigned-diam", "kernel_id": "91919326"}, {"ref": "olganikitina/cayleypy-down-cycles", "kernel_id": "91307809"}, {"ref": "altananatyrova/lsl-cycles-w-inv-statistical-parameters", "kernel_id": "91540123"}, {"ref": "alexandervc/lrx-long-elements-2-f-petrov-oeisa186752", "kernel_id": "93613809"}, {"ref": "visualcomments/gumbel-for-binary-puzzle", "kernel_id": "93612912"}, {"ref": "trydotatwo/beamsearch-basic", "kernel_id": "102684114"}, {"ref": "fedmug/coxeter-cosets-determinant", "kernel_id": "111989573"}, {"ref": "ivankolt/coxeter-cosets-determinant", "kernel_id": "111673278"}, {"ref": "alexandervc/cayleypy-coxeter-eigenvals", "kernel_id": "112624047"}, {"ref": "ivankolt/coxeter-cosets-determinant-checks", "kernel_id": "112167458"}, {"ref": "ivankolt/cycle-wigner-semicircle-eigenvals", "kernel_id": "112472455"}, {"ref": "stanislavkrymskii/wigner-semicircle-eigenvals-lrx", "kernel_id": "112290275"}, {"ref": "fedmug/pancake-cosets-determinant", "kernel_id": "114571145"}, {"ref": "fedmug/larx-cosets-determinant", "kernel_id": "114572842"}, {"ref": "alexsoibelman/b-and-d-coxeter-eigenvalues", "kernel_id": "115670904"}, {"ref": "ivankolt/wigner-semicircle-eigenvals-triangle-garland", "kernel_id": "124651003"}]}
{"competition_id": "92550", "kernels": [{"ref": "good593/base-model", "kernel_id": "76106595"}]}
{"competition_id": "92561", "kernels": []}
{"competition_id": "92568", "kernels": []}
{"competition_id": "92593", "kernels": []}
{"competition_id": "92692", "kernels": []}
{"competition_id": "92694", "kernels": []}
{"competition_id": "92730", "kernels": [{"ref": "antoninadolgorukova/lrx-sorting-networks", "kernel_id": "75781213"}, {"ref": "sergeifironov/gready-algorithm-baseline", "kernel_id": "76332969"}, {"ref": "fedmug/lrx-optimal-solution-for-n-8", "kernel_id": "76735485"}, {"ref": "alexandervc/fironov-s-gready-algorithm", "kernel_id": "76333144"}, {"ref": "antoninadolgorukova/lrx-gbdt-powered-pathfinding", "kernel_id": "76573027"}, {"ref": "antoninadolgorukova/lrx-random-walks-comparison", "kernel_id": "76443380"}, {"ref": "antoninadolgorukova/lrx-catboost-bs-longest-perms-solutions", "kernel_id": "76837653"}, {"ref": "luxoove/top1-lrx-inversions-based-algorithm", "kernel_id": "77205142"}, {"ref": "antoninadolgorukova/lrx-rw-bs-parameters-in-gbdt-guided-beam-search", "kernel_id": "79606201"}, {"ref": "fedimser/lrx-solution", "kernel_id": "86877732"}, {"ref": "fedimser/lrx-solution-n-32-beamsearch", "kernel_id": "87506114"}, {"ref": "fedimser/lrx-solution-combined", "kernel_id": "87508761"}, {"ref": "fedimser/lrx-solution-bubble-sort", "kernel_id": "87510080"}, {"ref": "fedimser/lrx-solution-with-training-n-16", "kernel_id": "87573463"}, {"ref": "fedimser/lrx-solution-n-16-beamsearch", "kernel_id": "87576630"}, {"ref": "fedimser/improving-lrx-bfs-local-search", "kernel_id": "88462123"}, {"ref": "fedimser/lrx-solution-n-16-meet-in-the-middle", "kernel_id": "88112999"}, {"ref": "kanavis/top1-lrx-inversions-based-algorithm-draft", "kernel_id": "93615759"}, {"ref": "hmnshudhmn24/lrx-discover-math-god-s-algorithm", "kernel_id": "108608313"}]}
{"competition_id": "92749", "kernels": []}
{"competition_id": "92750", "kernels": []}
{"competition_id": "92760", "kernels": [{"ref": "uobonselmullervg/nek310-lecture-11-urga", "kernel_id": "76977981"}]}
{"competition_id": "92764", "kernels": [{"ref": "mihailodin1/baseline", "kernel_id": "76704810"}, {"ref": "vladimirgrechko/first-version-lessons", "kernel_id": "78300017"}, {"ref": "alexzyukov/tutors-price-prediction", "kernel_id": "101699527"}]}
{"competition_id": "92806", "kernels": []}
{"competition_id": "92856", "kernels": [{"ref": "brendanfunk/smfml-linear-regression", "kernel_id": "76804897"}, {"ref": "aadarshvani/car-price-prediction-linear-regression", "kernel_id": "76758645"}, {"ref": "olexesh/predicting-the-price-of-a-car", "kernel_id": "79016487"}, {"ref": "ugurcan95/car-prices-prediction", "kernel_id": "81324767"}, {"ref": "ben2002/smfml-linear-regression", "kernel_id": "87603194"}, {"ref": "samvelgalstyan/carpricenn", "kernel_id": "113685729"}]}
{"competition_id": "92860", "kernels": [{"ref": "sunnyyadav24116098/aries-1", "kernel_id": "76639593"}, {"ref": "adityaj24/notebook432802ee45", "kernel_id": "76918220"}, {"ref": "lakshay1584/99-slicemyface", "kernel_id": "77403491"}, {"ref": "sushiiiii123/slice-the-face-by-sushi-final", "kernel_id": "77038370"}]}
{"competition_id": "92864", "kernels": []}
{"competition_id": "92872", "kernels": [{"ref": "olaflundstrom/ufaz-news-classifier-challenge-notebook-v2", "kernel_id": "79569577"}]}
{"competition_id": "92963", "kernels": [{"ref": "omranshoaeip/emotion-analysis-dep", "kernel_id": "76566234"}, {"ref": "abdeltawabali/notebook80cd75c51c", "kernel_id": "76859999"}, {"ref": "abdeltawabali/emotion-analysis", "kernel_id": "76745262"}, {"ref": "mohamedhani7/sentiment-analysis", "kernel_id": "76929417"}]}
{"competition_id": "92974", "kernels": []}
{"competition_id": "92989", "kernels": []}
{"competition_id": "93010", "kernels": []}
{"competition_id": "93014", "kernels": []}
{"competition_id": "93020", "kernels": []}
{"competition_id": "93021", "kernels": [{"ref": "ysiuyy/notebookfinal", "kernel_id": "77470113"}]}
{"competition_id": "93024", "kernels": []}
{"competition_id": "93025", "kernels": [{"ref": "goncaloafonso23/ml-workshop-code", "kernel_id": "76527398"}, {"ref": "metinaktas/airline-tweets-with-tfidf", "kernel_id": "77150142"}, {"ref": "sankalpkhavale/first-ml", "kernel_id": "111765354"}]}
{"competition_id": "93033", "kernels": []}
{"competition_id": "93055", "kernels": []}
{"competition_id": "93096", "kernels": []}
{"competition_id": "93118", "kernels": []}
{"competition_id": "93122", "kernels": [{"ref": "bunyamin00010/untitled-notebook-457946", "kernel_id": "76757154"}, {"ref": "hassunhamhim/durian-hackathon-v12", "kernel_id": "76758510"}]}
{"competition_id": "93127", "kernels": []}
{"competition_id": "93128", "kernels": []}
{"competition_id": "93144", "kernels": [{"ref": "zeinadika/problem-2", "kernel_id": "77143870"}, {"ref": "ambush78/notebookfc23409a23", "kernel_id": "86851389"}, {"ref": "shihaorobotics/20251230-train-v1", "kernel_id": "105937360"}]}
{"competition_id": "93145", "kernels": []}
{"competition_id": "93152", "kernels": []}
{"competition_id": "93195", "kernels": []}
{"competition_id": "93201", "kernels": []}
{"competition_id": "93202", "kernels": []}
{"competition_id": "93309", "kernels": [{"ref": "thitinan/sugarcane-disease-classification", "kernel_id": "76661781"}, {"ref": "natthapornkawpet/d06-santa", "kernel_id": "76707130"}]}
{"competition_id": "93313", "kernels": [{"ref": "ansarimohammedafzal3/rnd-42", "kernel_id": "95636560"}, {"ref": "hmnshudhmn24/rnd-42-practice-2", "kernel_id": "109363923"}]}
{"competition_id": "93314", "kernels": []}
{"competition_id": "93386", "kernels": []}
{"competition_id": "93401", "kernels": []}
{"competition_id": "93408", "kernels": [{"ref": "tojoh15/assignment-neural-networks", "kernel_id": "76783909"}, {"ref": "tojoh15/hyperparameter-optimization-ensembling", "kernel_id": "77861611"}, {"ref": "thorminator/hybrid-model-30", "kernel_id": "77693325"}, {"ref": "thorminator/sgd-and-relu-score-28", "kernel_id": "77337447"}]}
{"competition_id": "93413", "kernels": [{"ref": "hrithiqgupta/hrithiq-epoch25", "kernel_id": "77262252"}]}
{"competition_id": "93421", "kernels": [{"ref": "alexzabashta/arrange-categories-baseline-solution", "kernel_id": "77241084"}]}
{"competition_id": "93438", "kernels": [{"ref": "sergeifironov/binary-gready-algorithm", "kernel_id": "76836773"}, {"ref": "alexandervc/fironov-s-binary-gready-algorithm", "kernel_id": "76837668"}, {"ref": "mpwolke/in-search-of-god-s-number-lrx-binary", "kernel_id": "85308134"}, {"ref": "jocelyndumlao/lrx-binary-sorting-algorithm-visual-analysis", "kernel_id": "85546718"}, {"ref": "fedimser/lrx-binary-with-cayleypy-bfs-only", "kernel_id": "86841363"}, {"ref": "fedimser/solve-lrx-binary-with-cayleypy", "kernel_id": "86770038"}, {"ref": "fedimser/lrx-binary-greedy-algorithm", "kernel_id": "86878075"}, {"ref": "fedmug/lrx-coset-binary-with-cayleypy", "kernel_id": "86978055"}, {"ref": "mpwolke/lrx-growth-by-a-gumbel-distribution", "kernel_id": "86668887"}, {"ref": "jocelyndumlao/lrx-binary-god-s-number-with-greedy-algorithm", "kernel_id": "89342454"}, {"ref": "mehrankazeminia/1-lrx-replacing-moves-s16", "kernel_id": "97434547"}, {"ref": "mehrankazeminia/5-lrx-replacing-moves-s256", "kernel_id": "97517124"}, {"ref": "hmnshudhmn24/lrx-binary-in-search-of-god-s-number", "kernel_id": "109475769"}]}
{"competition_id": "93448", "kernels": [{"ref": "aandreigheorghe/binary-stars-classification", "kernel_id": "79433149"}, {"ref": "eternalyouth/simplestarclassifier", "kernel_id": "80865055"}]}
{"competition_id": "93451", "kernels": [{"ref": "marcograngetto/gear-detection-sample-code", "kernel_id": "79781589"}]}
{"competition_id": "93455", "kernels": []}
{"competition_id": "93471", "kernels": [{"ref": "hadriencr/madlad", "kernel_id": "77516953"}, {"ref": "akhinlal/cs-25-nlp", "kernel_id": "78045468"}, {"ref": "lucastramonte/language-classifier", "kernel_id": "78177376"}]}
{"competition_id": "93474", "kernels": []}
{"competition_id": "93485", "kernels": [{"ref": "newbyy/anyway-document-for-reproduciblity", "kernel_id": "78076839"}, {"ref": "akramf/credit-fraud-detection-akram-firmansyah", "kernel_id": "103379759"}, {"ref": "mrtimax/notebook88075c31b7", "kernel_id": "104457250"}]}
{"competition_id": "93486", "kernels": []}
{"competition_id": "93503", "kernels": []}
{"competition_id": "93513", "kernels": []}
{"competition_id": "93583", "kernels": [{"ref": "swas06/higgsbosondetection", "kernel_id": "77595987"}, {"ref": "ravi20076/higgsboson2025-baseline-v1", "kernel_id": "77514698"}, {"ref": "yunsuxiaozi/hbd2025-tabm", "kernel_id": "77507845"}, {"ref": "kadircandrisolu/higgs-boson-detection-ensemble-classifier", "kernel_id": "77051910"}, {"ref": "swas06/higgsbostonoptuna", "kernel_id": "78256567"}, {"ref": "younusmohamed/51-01-trees-meet-brains", "kernel_id": "78384750"}, {"ref": "lizst1/higgs-boson-eda-and-initial-model-training", "kernel_id": "81626915"}, {"ref": "mehmetisik/higgs-boson-detection-eda-2025", "kernel_id": "81091181"}, {"ref": "mehmetisik/higgs-boson-2025-9-layer-feature-eng-catboost", "kernel_id": "81995446"}, {"ref": "debisree/higgs-boson-detection", "kernel_id": "82369000"}, {"ref": "sethabhisaar/notebookdaaa0f0814", "kernel_id": "135728910"}]}
{"competition_id": "93592", "kernels": []}
{"competition_id": "93596", "kernels": [{"ref": "t113368090cwm/113-2-1-3", "kernel_id": "77763760"}]}
{"competition_id": "93602", "kernels": []}
{"competition_id": "93611", "kernels": [{"ref": "chaibadinnorsaing/hcu-whisper-finetuning-a4f378", "kernel_id": "77609421"}, {"ref": "pattaratipaksorn/hcu-whisper-finetuning", "kernel_id": "77002931"}]}
{"competition_id": "93697", "kernels": [{"ref": "slavex1809/oilgastest-v-dmitriev", "kernel_id": "85095926"}, {"ref": "dickfrommountain/compet1", "kernel_id": "105245805"}, {"ref": "zifbest/notebook3d141e2b45", "kernel_id": "129576378"}]}
{"competition_id": "93733", "kernels": [{"ref": "nickwan/predict-ks-benchmark-solution", "kernel_id": "77504535"}, {"ref": "mvoulo/predicting-strikeouts-with-new-features", "kernel_id": "77039947"}, {"ref": "michaelsemenoff/arm-angle-metrics-and-pitch-animations", "kernel_id": "77125885"}, {"ref": "michaelsemenoff/fast-model-development-with-xgboost", "kernel_id": "77309221"}, {"ref": "stephensuttonbrown/movement-vs-expected", "kernel_id": "77541138"}, {"ref": "astrorunner/r-we-having-fun-yet-basic-benchmark", "kernel_id": "78653464"}, {"ref": "astrorunner/rf-modeling-for-expected-movement", "kernel_id": "78887984"}, {"ref": "mvoulo/public-predict-strikeouts", "kernel_id": "78477573"}, {"ref": "justinchoi0117/xgboost-feat-isolationforest-produced-by-gam", "kernel_id": "78509289"}, {"ref": "seanfector/arm-angle-break-deviation-still-slappin", "kernel_id": "78688517"}, {"ref": "kevinbaer/three-strikes-but-make-them-data-science-languages", "kernel_id": "78909761"}]}
{"competition_id": "93762", "kernels": []}
{"competition_id": "93771", "kernels": []}
{"competition_id": "93783", "kernels": [{"ref": "kotrix/visualization-and-stats-2", "kernel_id": "78514790"}, {"ref": "kotrix/telemanom-esa", "kernel_id": "78515164"}, {"ref": "kotrix/globalstd", "kernel_id": "78515348"}, {"ref": "kotrix/localstd", "kernel_id": "78515408"}, {"ref": "kotrix/iforest", "kernel_id": "78515532"}, {"ref": "jaromek/kp-labs-esa-anomaly-detection", "kernel_id": "82800816"}, {"ref": "ankushdeshmukh12/notebook6185da297e", "kernel_id": "84012460"}, {"ref": "pablovverde/spacecraft-anomaly-detection-dinamic-outlier-r2", "kernel_id": "88820692"}, {"ref": "lallegrini1/notebook2559b8359a", "kernel_id": "89627047"}, {"ref": "lallegrini1/esa-continualist", "kernel_id": "89649208"}, {"ref": "lallegrini1/esa-continualist2", "kernel_id": "89675401"}, {"ref": "spranaydeep/stratohack-2-0-obsidian", "kernel_id": "106694493"}, {"ref": "helishahasc/esa-dataset", "kernel_id": "107333528"}]}
{"competition_id": "93796", "kernels": [{"ref": "olaflundstrom/baseline-model-in-r-notebook", "kernel_id": "77074047"}, {"ref": "mariejoesakr/submission", "kernel_id": "81862357"}]}
{"competition_id": "93838", "kernels": []}
{"competition_id": "93864", "kernels": [{"ref": "madhusudhananaidu/sciml", "kernel_id": "77364325"}]}
{"competition_id": "93872", "kernels": [{"ref": "dhoeren/sample-notebook", "kernel_id": "77143948"}, {"ref": "kulmak41/notebook51ebdcd905", "kernel_id": "77191180"}, {"ref": "omegaturnip/notebook928e6d2f95", "kernel_id": "77190736"}, {"ref": "mateidumitrescu/top1-purple-clouds", "kernel_id": "77188314"}, {"ref": "peterhuanghhh/fork-of-epoch-hackathon-laszlo", "kernel_id": "77185927"}, {"ref": "omarelamin/epochforestfirehackathon", "kernel_id": "77176207"}, {"ref": "nbeladel/aicarus", "kernel_id": "77183209"}, {"ref": "moeb8001/top-2-with-numpy-pandas-only", "kernel_id": "77174924"}, {"ref": "rodvdc/a-r-t-notebook", "kernel_id": "77174944"}, {"ref": "atngn04/tdt-team", "kernel_id": "77175728"}, {"ref": "lekhadan/tdt-2nd", "kernel_id": "77183019"}, {"ref": "simonhuwaert/notebook10607a7f0d", "kernel_id": "77191002"}, {"ref": "mishomisho/stalin-sort", "kernel_id": "77190941"}, {"ref": "nicolaemario/sample-notebook123-11cc6e", "kernel_id": "77189271"}]}
{"competition_id": "93876", "kernels": []}
{"competition_id": "93929", "kernels": []}
{"competition_id": "93980", "kernels": []}
{"competition_id": "93987", "kernels": []}
{"competition_id": "93998", "kernels": [{"ref": "debisree/stock-pledge-financing-default-prediction", "kernel_id": "77281823"}, {"ref": "ravi20076/stockpledge2025-starter-v1", "kernel_id": "77220954"}, {"ref": "yunsuxiaozi/spfdp-yunbase", "kernel_id": "77237064"}, {"ref": "pulingg/stock-pledge-default-prediction", "kernel_id": "77356362"}, {"ref": "michaelrowen/tuning-test", "kernel_id": "77231727"}, {"ref": "romualdahomagnon/romusthagore", "kernel_id": "78064609"}, {"ref": "alviseser/stockpledgefinancingdefaultprediction", "kernel_id": "78740304"}, {"ref": "lightningv08/stock-pledge-2025-0-87-0-83-tabicl-kfold", "kernel_id": "110103978"}]}
{"competition_id": "94009", "kernels": [{"ref": "yunsuxiaozi/gnn-tabular-data", "kernel_id": "77531533"}]}
{"competition_id": "94010", "kernels": []}
{"competition_id": "94020", "kernels": [{"ref": "ravi20076/blackjack2025-starter-v1", "kernel_id": "77261937"}, {"ref": "andreipaulavets/linear-regression-bj-competition", "kernel_id": "77258864"}, {"ref": "andreipaulavets/comparing-ml-technics-bj-ev-prediction", "kernel_id": "77554441"}, {"ref": "andreipaulavets/linear-regression-basic-feature-transformation", "kernel_id": "77530543"}, {"ref": "masayakawamata/bj-xgboost-starter", "kernel_id": "77523387"}, {"ref": "andreipaulavets/bj-ev-xgboost-feature-importance", "kernel_id": "78758621"}, {"ref": "ambrosm/blackjack-great-ensemble", "kernel_id": "79907588"}, {"ref": "masayakawamata/bj-catboost-nn", "kernel_id": "79975738"}, {"ref": "masayakawamata/bj-svr-linearregression", "kernel_id": "79322606"}, {"ref": "masayakawamata/bj-catboost", "kernel_id": "79534168"}, {"ref": "masayakawamata/bj-lightgbm", "kernel_id": "79533661"}, {"ref": "masayakawamata/bj-various-models", "kernel_id": "79264978"}, {"ref": "masayakawamata/bj-deep-neural-network", "kernel_id": "80081023"}, {"ref": "masayakawamata/single-catboost-with-fe", "kernel_id": "80102612"}, {"ref": "docxian/black-jack-removal-ml-h2o-deeplearning", "kernel_id": "81222843"}, {"ref": "docxian/black-jack-removal-ml-autogluon", "kernel_id": "81632949"}, {"ref": "swas06/blackjacksmarteffect-xgboost", "kernel_id": "81536544"}, {"ref": "sjain600/nn-with-oof-predictions", "kernel_id": "81899015"}, {"ref": "sjain600/meta-model-with-oof-predictions-and-fe", "kernel_id": "81505614"}]}
{"competition_id": "94028", "kernels": []}
{"competition_id": "94037", "kernels": []}
{"competition_id": "94060", "kernels": []}
{"competition_id": "94107", "kernels": []}
{"competition_id": "94108", "kernels": []}
{"competition_id": "94124", "kernels": [{"ref": "bigdatasmallhead/protopnet-competition-example-starters", "kernel_id": "92364457"}, {"ref": "bigdatasmallhead/v2-starter-notebook", "kernel_id": "92368213"}]}
{"competition_id": "94140", "kernels": []}
{"competition_id": "94144", "kernels": []}
{"competition_id": "94147", "kernels": [{"ref": "kumarandatascientist/celltypepipeline", "kernel_id": "78823019"}, {"ref": "kumarandatascientist/gpu-celltype-pipeline", "kernel_id": "78823369"}, {"ref": "kumarandatascientist/gpu-celltype-pipeline-feature-engineering-incl", "kernel_id": "78852137"}, {"ref": "kumarandatascientist/gpu-celltype-pipeline-gridsearchcv", "kernel_id": "78888930"}, {"ref": "kumarandatascientist/optuna-eda-isotonic-regression", "kernel_id": "78937707"}, {"ref": "kumarandatascientist/deepseek-improve-code-eda-and-iso-pipeline", "kernel_id": "78953030"}, {"ref": "bachaboos/global-ai-hackathon-25-by-elucidata", "kernel_id": "78788926"}, {"ref": "prajwaldongre/only-eda-you-need-to-understand-this-data", "kernel_id": "78876286"}, {"ref": "kay2304/global-ai-hackathon-25-by-elucidata", "kernel_id": "78803446"}, {"ref": "elucidata2025/kaggle-starter-notebook", "kernel_id": "78457969"}, {"ref": "dalloliogm/basic-prediction-using-cnn-and-image-patches", "kernel_id": "79687986"}, {"ref": "dalloliogm/eda-exploring-cell-type-abundance", "kernel_id": "79501275"}, {"ref": "dalloliogm/notes-and-thoughts-a-primer-to-this-competition", "kernel_id": "79396079"}, {"ref": "dalloliogm/eda-plotting-cell-distribution-by-slice", "kernel_id": "79305625"}, {"ref": "kumarandatascientist/gpu-linear-regression", "kernel_id": "79304135"}, {"ref": "kumarandatascientist/0-61128-v4-ai-hackathon-pipeline-v4", "kernel_id": "79304891"}, {"ref": "kumarandatascientist/ai-hackathon-pipeline", "kernel_id": "79301342"}, {"ref": "aniruddhapa/28-7-score-boost-pytorch-pipeline-debug", "kernel_id": "79525347"}, {"ref": "nobita7/cell-type-prediction-using-cnn", "kernel_id": "79957116"}, {"ref": "nobita7/cell-type-prediction-using-graph-attention-network", "kernel_id": "79128222"}, {"ref": "tarundirector/histology-eda-spotnet-visual-spatial-dl", "kernel_id": "79123679"}, {"ref": "sokolat/transfer-learning-with-efficientnet", "kernel_id": "79185281"}, {"ref": "bachaboos/efficientnetb0global-ai-hackathon-25-by-elucidata", "kernel_id": "80801066"}, {"ref": "nadiatriki/want-some-eda", "kernel_id": "80539044"}, {"ref": "augieaditama/elucidata", "kernel_id": "80223791"}, {"ref": "nikitamanaenkov/global-ai-hackathon-cnn", "kernel_id": "80370744"}, {"ref": "zzzzgod/unet-with-rank-loss", "kernel_id": "80168235"}, {"ref": "dalloliogm/resnet18-modified", "kernel_id": "81918822"}, {"ref": "dalloliogm/spotnet-modified", "kernel_id": "81924046"}, {"ref": "sandeepsharma94169/ai-elucidata-model", "kernel_id": "81968772"}, {"ref": "ramazanturann/resnet18", "kernel_id": "81727350"}, {"ref": "dureyashfeen/global-ai-hackathon", "kernel_id": "81430982"}, {"ref": "dalloliogm/submission-ensemble-elucidata-2025", "kernel_id": "82959720"}, {"ref": "kkhandekar/boosting-a-global-ai-hackathon", "kernel_id": "82200063"}, {"ref": "greysky/elucidata-final-segmentation-inference", "kernel_id": "82668334"}, {"ref": "fatima55cancrie/histology-v5", "kernel_id": "82844216"}, {"ref": "otgonbaatar11/global-ai-hackathon-25", "kernel_id": "82538195"}, {"ref": "angeleemorquin/elucidata-hackathon-25-resnet18-pipeline", "kernel_id": "82691701"}, {"ref": "hridoyyahmed/residualspatialnet", "kernel_id": "82951587"}, {"ref": "nikitamanaenkov/elucidata-cnn-gcn", "kernel_id": "82579290"}, {"ref": "shemskurtoglu/histopathology-pipeline-0-58753", "kernel_id": "83226233"}, {"ref": "shemskurtoglu/histopathology-preprocessing-test-pipeline", "kernel_id": "83224245"}, {"ref": "burakcankart/learn-with-last-eda-for-newbies-like-me", "kernel_id": "83110113"}, {"ref": "swandipsingha/global-ai-hackathon-2025-end-to-end-solution", "kernel_id": "83237908"}, {"ref": "greysky/elucidata-final-segmentation-5", "kernel_id": "85874277"}]}
{"competition_id": "94154", "kernels": [{"ref": "aadeshupadhaya/sample-submission-code", "kernel_id": "92262244"}]}
{"competition_id": "94157", "kernels": [{"ref": "baotran2210/starter-notebook", "kernel_id": "93227022"}]}
{"competition_id": "94172", "kernels": []}
{"competition_id": "94183", "kernels": [{"ref": "kavinkannan/unsupervised-training", "kernel_id": "77745305"}, {"ref": "tungdd2009/computer-vision-homework-2-custom-dataset-class", "kernel_id": "94310886"}]}
{"competition_id": "94275", "kernels": []}
{"competition_id": "94292", "kernels": []}
{"competition_id": "94324", "kernels": []}
{"competition_id": "94325", "kernels": []}
{"competition_id": "94333", "kernels": []}
{"competition_id": "94343", "kernels": []}
{"competition_id": "94353", "kernels": []}
{"competition_id": "94495", "kernels": [{"ref": "danipipe777/mlp-dengue", "kernel_id": "78954360"}, {"ref": "juliomorales88/prediccion-dengue", "kernel_id": "81188927"}, {"ref": "danipipe777/fa-ii-2025-i-pronosticos-nn", "kernel_id": "84553974"}]}
{"competition_id": "94521", "kernels": [{"ref": "danofer/russian-plate-prices-export-data", "kernel_id": "77785785"}, {"ref": "lumium/simple-transformer-approach", "kernel_id": "77612240"}, {"ref": "mangalsanarajkumari/notebookf4f134d2b8", "kernel_id": "77921265"}, {"ref": "sultansagynov/transformer-based-xgb-smape-4-21", "kernel_id": "77743166"}, {"ref": "bestwater/files-v2-russian-car-plates-prices-prediction", "kernel_id": "77765790"}, {"ref": "magewade/car-plates-prices-catboost-49-8287", "kernel_id": "77581698"}, {"ref": "sahajgyawali/russiancarplatepriceprediction", "kernel_id": "77849911"}, {"ref": "aidaabd96/price-prediction", "kernel_id": "77638937"}, {"ref": "jainilspatel/car-price-prediction", "kernel_id": "77668037"}, {"ref": "piratesofmonotony/my-first-community-competition", "kernel_id": "77924720"}, {"ref": "byu1224/randomforestregressor-beginner", "kernel_id": "78154121"}, {"ref": "arifagustyawan/eda-russian-car-plates-prices", "kernel_id": "78330392"}, {"ref": "dalveersingh3888/lightgbm-approach", "kernel_id": "78133481"}, {"ref": "codingmaster24/xgboost-based-car-number-plate-price-prediction", "kernel_id": "78671454"}, {"ref": "codingmaster24/car-plate-price-prediction", "kernel_id": "78036326"}, {"ref": "bestwater/autogluon-v16-russian-car-plates", "kernel_id": "78544467"}, {"ref": "apoorvbhandari10/xgboost-reg", "kernel_id": "78840696"}, {"ref": "yunsuxiaozi/rcppp-yunbase", "kernel_id": "78001435"}, {"ref": "dfolve/mashinkilast", "kernel_id": "78032753"}, {"ref": "nikitazholobov/rucar", "kernel_id": "78032825"}, {"ref": "alinadilawaiz/detailed-analysis-xgboost-hyperopt", "kernel_id": "78265121"}, {"ref": "pr0va1der2/numbers", "kernel_id": "78033214"}, {"ref": "yasomy/russiancar", "kernel_id": "78039699"}, {"ref": "ramazanturann/simple-transformer-approach", "kernel_id": "78237851"}, {"ref": "akhil838/simple-catboost-41-6", "kernel_id": "78340396"}, {"ref": "wadoodali/premium-russian-car-plates-price-prediction-hyb", "kernel_id": "78621637"}, {"ref": "adretodata/xgboost-with-optuna", "kernel_id": "78492381"}, {"ref": "monkmode1/russia", "kernel_id": "78263498"}, {"ref": "liangkaixin/lb-38-autogluon-feature-engineering", "kernel_id": "78604814"}, {"ref": "liangkaixin/top-10-solution-prediction-eda-easy-feature", "kernel_id": "78300192"}, {"ref": "firewhailemariam/premium-russian-car-plates-price-prediction-hyb", "kernel_id": "78630540"}, {"ref": "debianeni/notebook0556b69e00", "kernel_id": "78859771"}, {"ref": "adasken/autogluon-feature-engineering-smape-37", "kernel_id": "78342191"}, {"ref": "rafanikitas/russian-plates-fe-catboost-37-91", "kernel_id": "79630129"}, {"ref": "debisree/russian-car-plates-prices-prediction", "kernel_id": "79054042"}, {"ref": "josephnehrenz/top-3-36-4-regression-xgb-plate-prediction-r", "kernel_id": "79338280"}, {"ref": "dalveersingh3888/auto-gluon-feature-engineering-37-2", "kernel_id": "79142808"}, {"ref": "mt05160516/autogluon-feature-engineering-revised", "kernel_id": "79152401"}, {"ref": "bestwater/files-v4-russian-car-plates-prices-prediction", "kernel_id": "79473395"}, {"ref": "yaroslavsokolenko/car-predict", "kernel_id": "79770613"}, {"ref": "cartoonistbeard/predict-podcast-singlexgb-te-cv-12-44-lb-12-44", "kernel_id": "79551497"}, {"ref": "lucamiccioni/primo-test", "kernel_id": "79813938"}, {"ref": "kyanmahajan23/car-pred", "kernel_id": "79365128"}, {"ref": "abdullahtauseef2003/rcppp-43-gradientboosting", "kernel_id": "79076134"}, {"ref": "bestwater/autogluon-v25-russian-car-plates", "kernel_id": "80419840"}, {"ref": "bestwater/autogluon-v26-russian-car-plates", "kernel_id": "80419844"}, {"ref": "henrycavills/car-prices", "kernel_id": "80488539"}, {"ref": "b270704b/where-is-my-car", "kernel_id": "80775398"}, {"ref": "brooklyn47/starter-russian-car-plates-prices-predictions", "kernel_id": "80200162"}, {"ref": "lakshitaaa1/notebookb18c43c272", "kernel_id": "80380510"}, {"ref": "uzairsiddiqui22/russian-car-plates", "kernel_id": "80283893"}, {"ref": "ambrosm/rcppp-simple-model", "kernel_id": "81533547"}, {"ref": "ready2start/ready2start-russian-car-plates-prices-prediction", "kernel_id": "81699792"}, {"ref": "bestwater/autogluon-v35-russian-car-plates", "kernel_id": "81926642"}, {"ref": "menazzz/mnzcars", "kernel_id": "81489157"}, {"ref": "elasgustavoknaus/russian-car-plates-prices-prediction-in-spanish", "kernel_id": "81389041"}, {"ref": "sarahahagamal/plate-prediction", "kernel_id": "81378278"}, {"ref": "esraaalsaeede/car-plates-prices-prediction-xgbregressor", "kernel_id": "82360678"}, {"ref": "rohithjuluru2201/predicting-russian-cars", "kernel_id": "82425991"}, {"ref": "bestwater/v1-of-ensemble-subs-russian-car-plates", "kernel_id": "82381808"}, {"ref": "shubhamjariwala/car-plate-price-prediction", "kernel_id": "82863819"}, {"ref": "kristiangohibi/predicting-russian-car-prices-an-xgboost-model", "kernel_id": "82847277"}, {"ref": "snehalkhandewale/russian-car-plate-xgboost", "kernel_id": "82880214"}, {"ref": "eldintarofarrandi/russian-car-plates-prices-prediction", "kernel_id": "82551412"}, {"ref": "dianashilova/russian-car-plates-prices-prediction", "kernel_id": "82726640"}, {"ref": "yongleluo/kaggle-competition-code", "kernel_id": "82067267"}, {"ref": "mosammo/xgb-russian-car-plate-36-712", "kernel_id": "82734994"}, {"ref": "muhammadfaizanhassan/predicting-russian-car-plate-prices-with-ann-xgb", "kernel_id": "82135956"}, {"ref": "lele25811/russian-car-plates-prices-prediction", "kernel_id": "82429269"}, {"ref": "engineerutkarss/predicting-russian-car-plate-prices-with-dtree", "kernel_id": "82193195"}, {"ref": "enesfiliz/number-region-status-what-drives-plate-price", "kernel_id": "83822748"}, {"ref": "jainanu/smape-26-9-russian-car-plate-price-prediction", "kernel_id": "83674684"}, {"ref": "kwakubonsuwiredu/xgboost-hyperparameter-tuning-with-optuna", "kernel_id": "83961458"}, {"ref": "kakuteki/ensemble-russian-car-plates-prices-prediction", "kernel_id": "83693946"}, {"ref": "kakuteki/tabnet-russian-car", "kernel_id": "83872109"}, {"ref": "mhazett/russian-car-plates-price-prediction", "kernel_id": "83406149"}, {"ref": "reidnersantos/russian-car-plates-prices-prediction", "kernel_id": "83073289"}, {"ref": "positivealexey/residual-neural-network-56-07", "kernel_id": "83508982"}, {"ref": "tomsntv/russian-car-prices-prediction-xgboost", "kernel_id": "83655163"}, {"ref": "namannimble/car-price-prediction-xgboost", "kernel_id": "83795332"}, {"ref": "mephistophel2312/predicting-russian-cars-in-russian", "kernel_id": "83179316"}, {"ref": "ruhul20/cars-plate-predictict", "kernel_id": "83731648"}, {"ref": "shevtsovapolina/fascinating", "kernel_id": "83942137"}, {"ref": "noureddineridanr96/russian-car-plates-prices-prediction", "kernel_id": "83606462"}, {"ref": "hamedghorbani/optuna-and-catboost-feature-engineering-36-81", "kernel_id": "84161822"}, {"ref": "akshaypatil11/russian-car-plates-price-prediction-64-42", "kernel_id": "85262950"}]}
{"competition_id": "94541", "kernels": [{"ref": "ssegui/recsysmfds2025-baseline-top-popular", "kernel_id": "77938448"}, {"ref": "ssegui/recsysmfds2025-collaborativefiltering2svd", "kernel_id": "77938900"}]}
{"competition_id": "94561", "kernels": [{"ref": "romaneyvazov/object-detection-with-yolo", "kernel_id": "110714978"}]}
{"competition_id": "94635", "kernels": [{"ref": "garrickchinnis/regression-classification-starter-notebook", "kernel_id": "77278560"}, {"ref": "dalloliogm/jigsaw-llama-qwen7b", "kernel_id": "87806984"}, {"ref": "sabarinathan/reddit-rule-enforcement-an-exploratory-analysis", "kernel_id": "87750939"}, {"ref": "sabarinathan/deberta-v3-reddit-rule-violation-classification", "kernel_id": "87760280"}, {"ref": "petebleackley/rule-violation-classifier", "kernel_id": "87785463"}, {"ref": "aerdem4/jigsaw-acrc-qwen7b-finetune-logits-processor-zoo", "kernel_id": "87782123"}, {"ref": "yekenot/jigsaw-acrc-deberta-v3-base", "kernel_id": "87738725"}, {"ref": "rhtsingh/multi-model-content-moderation-0-84-auc", "kernel_id": "87949097"}, {"ref": "fuumin621/qwen2-5-lora-finetune-baseline-inference", "kernel_id": "87847529"}, {"ref": "mohammedessam97/agile-rules-catboost-5-fold-cv-eda-for-jigsaw", "kernel_id": "87742058"}, {"ref": "sayedathar11/jigsaw-deberta-base-small-ensemble", "kernel_id": "87773948"}, {"ref": "jazivxt/silence-of-the-sheeps-the-antisheple-puzzle", "kernel_id": "87815258"}, {"ref": "stpeteishii/rule-violation-classification-with-text-similarity", "kernel_id": "87763552"}, {"ref": "sorenj/batch-gemma3-sample-rules-classification", "kernel_id": "87567898"}, {"ref": "mpwolke/abhishekt-s-autonlp-in-jigsaw-violations", "kernel_id": "87793042"}, {"ref": "mpwolke/jigsaw-positivity-violating-rules", "kernel_id": "87739165"}, {"ref": "jaslee2/automl-based-text-classification-with-tf-idf-sber", "kernel_id": "87743377"}, {"ref": "tasmim/jigsaw-rules-classifier-simple-lr", "kernel_id": "87791186"}, {"ref": "tasmim/rules-classifier-xgb-lr-lgbm-cat", "kernel_id": "87768404"}, {"ref": "dedquoc/jigsaw-acrc-with-bert", "kernel_id": "87772673"}, {"ref": "shaoon/jigsaw-agile-community-rules-classification", "kernel_id": "87998561"}, {"ref": "rohitdileep/word2vec-lightgbm", "kernel_id": "87758379"}, {"ref": "cyberkosatka/papers-analysis-x-competition-dataset", "kernel_id": "87946709"}, {"ref": "anushkrishna/how-to-install-stuff-and-make-it-available", "kernel_id": "87874701"}, {"ref": "kowshikdebnath/deberta-v3-base-baseline", "kernel_id": "87863582"}, {"ref": "msvrao/kaggle-competition", "kernel_id": "87937464"}, {"ref": "hussensehs/batch-gemma3-sample-rules-classification", "kernel_id": "87929206"}, {"ref": "felixwernlein/notebook751ff4df95", "kernel_id": "87777919"}, {"ref": "maverickss26/jigsaw-fine-tuned-solution-v1", "kernel_id": "87981984"}, {"ref": "nkosibking/reddit-comments-rules-classification", "kernel_id": "87743895"}, {"ref": "nkosibking/jigsaw-agile-community-rules-classification-model", "kernel_id": "87745728"}, {"ref": "ravi20076/jigsaw2025-public-baseline-v3", "kernel_id": "87780011"}, {"ref": "ravi20076/jigsaw2025-public-baseline-v4", "kernel_id": "87780641"}, {"ref": "ravi20076/jigsaw2025-public-baseline-v2", "kernel_id": "87773139"}, {"ref": "ravi20076/jigsaw2025-baseline-v1", "kernel_id": "87731655"}, {"ref": "zshashz/llm-consensus-v1", "kernel_id": "87730047"}, {"ref": "nikitkastr/notebook2bbb61e313", "kernel_id": "87781499"}, {"ref": "taylorsamarel/jigsaw-model-8-toxic-bert", "kernel_id": "87786990"}, {"ref": "taylorsamarel/jigsaw-ensemble", "kernel_id": "87743812"}, {"ref": "vader24/jigsaw-agile-community-classification-submission", "kernel_id": "87994808"}, {"ref": "ishxntyagi/xg-boost-classification", "kernel_id": "87997720"}, {"ref": "edidiongaaron/jigsaw-agile-community-rules-classification", "kernel_id": "87870183"}, {"ref": "pinthattheparkinglot/jigsaw-acrc-qwen7b-finetune-logits-processor-zoo", "kernel_id": "87963680"}, {"ref": "nilesh22pcso05/neelkamal-final", "kernel_id": "87793047"}, {"ref": "pouyamohammadkhani/notebook98f870aef3", "kernel_id": "87783002"}, {"ref": "garrickchinnis/jigsaw-classification-starter-notebook", "kernel_id": "87860524"}, {"ref": "zhoujinpy/jigsaw-word2vec-lightgbm-lr", "kernel_id": "87768686"}, {"ref": "vinodkumargurjar/reddit-comment-classification-vinod", "kernel_id": "87835817"}, {"ref": "imharshkashyap/jigsaw-community-rules-classification-notebook", "kernel_id": "87994852"}, {"ref": "ichigoe/jigsaw-train-and-save-deberta-v3-small", "kernel_id": "87748692"}, {"ref": "stemosamaghandour/jigsaw-agile-community-by-stemer-osama-geris", "kernel_id": "87832420"}, {"ref": "danieleduardocantu/jigsaw-randomforest-gradient-boosting-ensemble", "kernel_id": "87914496"}, {"ref": "waterjoe/jigsaw-5-fold-from-inference-cv-0-872", "kernel_id": "87759111"}, {"ref": "haohuanchen/jigsaw-robertaforsequenceclassification", "kernel_id": "87776328"}, {"ref": "gagandeep44489/jigsaw-agile-community-rules-classification-by-g", "kernel_id": "87755882"}, {"ref": "abdmental01/jigsaw-mpnet-base-v2-inference-cv-0-876", "kernel_id": "87732471"}, {"ref": "venkat199224/jigsaw-distilbert", "kernel_id": "87768595"}, {"ref": "andreasbis/jigsaw-2025-lightgbm-and-tfidf", "kernel_id": "87736897"}, {"ref": "aryamanvaishya/reddit-rules-lightgbm", "kernel_id": "87730485"}, {"ref": "abdullnassirhassan/jigsaw-notebook", "kernel_id": "87860955"}, {"ref": "fridaycode/jigsaw-competition", "kernel_id": "87767765"}, {"ref": "koushikkumardinda/jigsaw-agile-community-rules-classification", "kernel_id": "87764649"}, {"ref": "mccocoful/qwen2-5-32b-awq-w-logits-processor-zoo", "kernel_id": "87760200"}, {"ref": "satyamkolhe/jigsaw", "kernel_id": "87835321"}, {"ref": "arnavsuiiiiiiiiiiii/r-jigsaw", "kernel_id": "87762953"}, {"ref": "qifeihhh666/aimake-auc", "kernel_id": "87804033"}, {"ref": "arvindnandigam/js-acrc", "kernel_id": "87944402"}, {"ref": "rishipri/submission-csv", "kernel_id": "87759953"}, {"ref": "satyam1vishwakarma/reddit", "kernel_id": "87767885"}, {"ref": "krishnayadav456wrsty/jigsaw-roberta-advanced-context-encoding-cv", "kernel_id": "87984579"}, {"ref": "longissachairfay/jigsaw-llama3-1-8b-instruct-fine-tuned", "kernel_id": "87964282"}, {"ref": "shiqiangli/jigsaw-baseline", "kernel_id": "87801179"}, {"ref": "yangyefd/batch-gemma3-sample-rules-classification", "kernel_id": "87769875"}, {"ref": "elihaciyev/tf-idf-xgboost-beginner", "kernel_id": "87870837"}, {"ref": "yashdev01/jigsaw", "kernel_id": "87937868"}, {"ref": "gauripatil2299/jigsaw-rules-classification", "kernel_id": "87772938"}, {"ref": "fatimamuhammadhaneef/jigsaw-rules-distilbert-contextual-approach", "kernel_id": "87771036"}, {"ref": "divyak07/notebooke8eac4a45a", "kernel_id": "87992525"}, {"ref": "yusuketogashi/jigsaw-eda-first-of-all", "kernel_id": "87743968"}, {"ref": "sachin62/jigsaw-classification-01", "kernel_id": "87770922"}, {"ref": "nina2025/jigsaw-acrc", "kernel_id": "87772532"}, {"ref": "maestropolycarp/notebook7375a128ab", "kernel_id": "87783141"}, {"ref": "abdulrahmanqaten/jigsaw-acrc-first-solve", "kernel_id": "87778450"}, {"ref": "shenggedf/ensemble-finale", "kernel_id": "87832422"}, {"ref": "thierrynjalenga/notebookcb3421e15d", "kernel_id": "87744636"}, {"ref": "petebleackley/rule-violation-classifier-2", "kernel_id": "88227151"}, {"ref": "pardeep19singh/the-reddit-moderation-detective-story", "kernel_id": "88513927"}, {"ref": "mks2192/jigsaw-llama3-1-8b-instruct-training-one-epoch", "kernel_id": "88006313"}, {"ref": "mks2192/jigsaw-llama3-1-8b-instruct-finetuned-one-epoch", "kernel_id": "88024128"}, {"ref": "yerne39/simple-word2vec-xgboost", "kernel_id": "88129874"}, {"ref": "yerne39/twitter-roberta-sentiment-qwen2-5-3", "kernel_id": "88200600"}, {"ref": "yerne39/qwen3-few-shot-in-context-learning", "kernel_id": "88492644"}, {"ref": "neibyr/lb-0-878-train-on-test-data-qwen2-5-0-5b", "kernel_id": "88969737"}, {"ref": "kumarandatascientist/jigsaw-sub-exp003-pp", "kernel_id": "88077598"}, {"ref": "fuumin621/qwen2-5-lora-finetune-baseline-training", "kernel_id": "88047013"}, {"ref": "karimmmaher1/logisticregression-bayes-s-2", "kernel_id": "88374800"}, {"ref": "karimmmaher1/xgbclassifier", "kernel_id": "88416208"}, {"ref": "karimmmaher1/reddit-comments-predictions-xgboost-bayes-theorem", "kernel_id": "88520998"}, {"ref": "stpeteishii/rule-classification-cnn-embedding", "kernel_id": "88053123"}, {"ref": "stpeteishii/rule-classification-tf-idf-minilm-lgbm", "kernel_id": "88002123"}, {"ref": "rohitdileep/gpt2-finetuning", "kernel_id": "88062798"}, {"ref": "aliabdin1/jigsaw-rule-violation-detection-with-llm-rag", "kernel_id": "88202874"}, {"ref": "aliabdin1/qwen2-5-finetune-inference-adapted", "kernel_id": "88055802"}, {"ref": "aliabdin1/qwen-llama-unified-ranking", "kernel_id": "88993825"}, {"ref": "pompom555/gpu-enhanced-offline-jigsaw-baseline-no-internet", "kernel_id": "88433373"}, {"ref": "pompom555/gpu-enhanced-offline-jigsaw-baseline-v2", "kernel_id": "88434418"}, {"ref": "pompom555/gpu-enhanced-offline-jigsaw-final", "kernel_id": "88434426"}, {"ref": "bibanh/lb-0-892-qwen2-5-32b-gptq-llama3-1-8b-instruct", "kernel_id": "88906253"}, {"ref": "bibanh/qwen2-5-lora-finetune-baseline-change-prompt", "kernel_id": "88463070"}, {"ref": "luannguyenthanh299/deepseek-r1-distill-llama-8b-jigsaw", "kernel_id": "88466122"}, {"ref": "luannguyenthanh299/deepseek-r1-distill-llama-8b-jigsaw-infer", "kernel_id": "88505439"}, {"ref": "sujinseo/distilbert-embeddings-and-svm-lr-random-forest", "kernel_id": "88491094"}, {"ref": "monigarrr/jigsaw-submission-simple-averaging", "kernel_id": "88820243"}, {"ref": "monigarrr/jigsaw-submission-weighted-averaging", "kernel_id": "88821699"}, {"ref": "monigarrr/jigsaw-submission-ranked-averaging", "kernel_id": "88822110"}, {"ref": "monigarrr/jigsaw-strategy-1-ensemble-monigarr", "kernel_id": "88792204"}, {"ref": "bhuynguyn/jigsaw-llama3-1-8b-instruct-finetuned-submit", "kernel_id": "88935649"}, {"ref": "bhuynguyn/jigsaw-llama3-1-8b-instruct-training-one-epoch", "kernel_id": "88934279"}, {"ref": "shade012/tune-jigsaw-gemma-3-4b", "kernel_id": "88490365"}, {"ref": "aayushyatiwari/training-deepseek", "kernel_id": "88502605"}, {"ref": "zshashz/qwen3-4b-training-notebook", "kernel_id": "88054245"}, {"ref": "zshashz/qwen3-4b-inference-notebook", "kernel_id": "88070104"}, {"ref": "zshashz/qwen3-4b", "kernel_id": "88070337"}, {"ref": "sucruba70/notebook890bbdd4a8", "kernel_id": "88282703"}, {"ref": "timothyossowski/jigsaw-submission", "kernel_id": "88952278"}, {"ref": "kishanvavdara/synthetic-subreddit-data-generation", "kernel_id": "88388264"}, {"ref": "kishanvavdara/create-reddit-rules-dataset", "kernel_id": "88376042"}, {"ref": "kishanvavdara/qwen2-5-lora-baseline-change-prompt-seq-class", "kernel_id": "88680766"}, {"ref": "destroyer1101/notebookd186e31394", "kernel_id": "88591997"}, {"ref": "mrsimple07/jigsaw-submit-qwen-lora-fine-tuning", "kernel_id": "88579507"}, {"ref": "ayeshanusrat/notebook19d0d6b7a4", "kernel_id": "88133220"}, {"ref": "xiaoleilian/unsloth-pip", "kernel_id": "88984593"}, {"ref": "junaid512/jigsaw-agile-community-rules-classification", "kernel_id": "88380585"}, {"ref": "guranshchugh1/jigsaw-agile-tfidf-hashsgd-fast-ce-oof-nonet", "kernel_id": "88966403"}, {"ref": "muhammaddanyalmalik/smoothly-fining", "kernel_id": "88870590"}, {"ref": "muhammaddanyalmalik/voilation-rules", "kernel_id": "88451743"}, {"ref": "muhammaddanyalmalik/rules-on-through-smart-classification", "kernel_id": "88375110"}, {"ref": "muhammaddanyalmalik/rules-on-to-on-classification", "kernel_id": "88283777"}, {"ref": "krishnayadav456wrsty/jigsaw-rule-violation-detector-tf-idf-lr", "kernel_id": "88083484"}, {"ref": "waqi786/uujigsaw-agile-community-rules", "kernel_id": "88055293"}, {"ref": "llkh0a/qwen3-32b-awq", "kernel_id": "88991354"}, {"ref": "kubilaybildirici/ensemble", "kernel_id": "88791682"}, {"ref": "adilshamim8/jigsaw-community-rules-classification", "kernel_id": "88891284"}, {"ref": "vaibhavbarala26/lora-fine-tuned-qwen-3-1-7b-base", "kernel_id": "88902305"}, {"ref": "vaibhavbarala26/distilbert", "kernel_id": "88382402"}, {"ref": "vaibhavbarala26/tf-idf-xgboost", "kernel_id": "88169715"}, {"ref": "shubhojitnaskar/jigsaw", "kernel_id": "88964594"}, {"ref": "sanikapatankar9563/notebook2dd34a276e", "kernel_id": "88172035"}, {"ref": "vinothkumarsekar89/jigsaw-acrc-lora-finetune-llama-1b-unsloth", "kernel_id": "88510480"}, {"ref": "vinothkumarsekar89/jigsaw-acrc-llama-1b-batch-infer-logits-vllm", "kernel_id": "88491634"}, {"ref": "vinothkumarsekar89/jigsaw-acrc-llama-1b-infer-automodel-unsloth-vllm", "kernel_id": "88142159"}, {"ref": "divyak07/transformer-model-full-pipeline-train-validate", "kernel_id": "88016138"}, {"ref": "khai42/jigsaw-eda", "kernel_id": "88809137"}, {"ref": "legdend/ai-content-moderator-hybrid-rag-llm-ensemble", "kernel_id": "88479230"}, {"ref": "xuanxianglin/qwen2-5-lora-finetune-baseline-inference", "kernel_id": "88346758"}, {"ref": "jojofarhan/jigsaw-roberta-teamjojo", "kernel_id": "88232265"}, {"ref": "viishals/jigsaw-transformer-model-bert-lightgbm-tf-idf", "kernel_id": "88115851"}, {"ref": "pratik222/jigsaw", "kernel_id": "88017818"}, {"ref": "varshagumbarthi/jigsaw", "kernel_id": "88502975"}, {"ref": "matteopoddesu33/pushshift-pre-train-2281bcceb", "kernel_id": "88982711"}, {"ref": "dipakism/roodungameh", "kernel_id": "88614601"}, {"ref": "usuffff/jigsaw-agile-rules-submission", "kernel_id": "88826029"}, {"ref": "jiweiliu/basic-eda", "kernel_id": "89910194"}, {"ref": "neibyr/30-min-just-use-semantic-search-qwen3-emb-0-6b", "kernel_id": "89234153"}, {"ref": "neibyr/train-on-test-qwen-ensemble", "kernel_id": "89580439"}, {"ref": "sayedathar11/qwen2-5-32b-qwen3-embed-improved-prompt-engg", "kernel_id": "89993734"}, {"ref": "dedquoc/jigsaw-acrc-with-agile-improving", "kernel_id": "89438067"}, {"ref": "sahib12/a1-qwen3-4b-inference", "kernel_id": "89127928"}, {"ref": "shrutidceit/tf-idf-logistic", "kernel_id": "89421300"}, {"ref": "shrutidceit/complete-eda", "kernel_id": "89277047"}, {"ref": "shrutidceit/detailed-eda-w-wordcloud", "kernel_id": "89333934"}, {"ref": "bibanh/lb-0-9-re-finetune-qwen2-5-32b-gptq", "kernel_id": "89146925"}, {"ref": "bibanh/lb-0-905-qwen3-embedding-finetune-qwen2-5-32b", "kernel_id": "89281135"}, {"ref": "bibanh/qptq-awq-qwen2-5-32b-qwen3-embedding", "kernel_id": "89515108"}, {"ref": "bibanh/qwen3-embedding-qwen2-5-32b-llama3-1-8b", "kernel_id": "89463581"}, {"ref": "luannguyenthanh299/jigsaw-qwen3-unsloth-bnb-4bit", "kernel_id": "89398548"}, {"ref": "luannguyenthanh299/qwen3-without-unsloth", "kernel_id": "89305798"}, {"ref": "junyama09143/checking-the-data-of-jigsaw", "kernel_id": "89011965"}, {"ref": "monigarrr/monigarr-jigsaw-strategy-1-inference-rank-avgl", "kernel_id": "89197171"}, {"ref": "monigarrr/monigarr-jigsaw-strategy-1-inference", "kernel_id": "89069833"}, {"ref": "monigarrr/jigsaw-6-model-ensemble-blending-stacking", "kernel_id": "89059287"}, {"ref": "seowoohyeon/jigsaw-qwen2-5-3b-train", "kernel_id": "89131768"}, {"ref": "nghiahoangtrung/qwen-qwen2-5-7b-instruct", "kernel_id": "89771502"}, {"ref": "fondrose/change-some-qwen3-embedding-finetune-qwen2-5-32b", "kernel_id": "89396276"}, {"ref": "fondrose/change-qwen3-embedding-qwen2-5-32b-llama3-1-8b", "kernel_id": "89530865"}, {"ref": "yangjiahua/test-on-testdataset-qwenemdding-llama", "kernel_id": "89638536"}, {"ref": "kishorevishal/qwen2-5-32b-awq-prompt-eng", "kernel_id": "89175164"}, {"ref": "xiaoleilian/gemma-3-4b-it-bnb-4bit", "kernel_id": "89056490"}, {"ref": "pabitrabiswas/geminirlhf", "kernel_id": "89241177"}, {"ref": "karamel03/jigsaw-reddit", "kernel_id": "89327990"}, {"ref": "muhammaddanyalmalik/qwen2-5-32b-llama-8b", "kernel_id": "89357062"}, {"ref": "muhammaddanyalmalik/qwen2-5-32b-qwen3-embedding", "kernel_id": "89752936"}, {"ref": "muhammaddanyalmalik/qwen3-emb-0-6b-finetune", "kernel_id": "89448718"}, {"ref": "echonoshy/chenhongsen-task", "kernel_id": "89148227"}, {"ref": "vaibhavbarala26/fine-tuning-qwen-3-1-7b-with-lora", "kernel_id": "89191877"}, {"ref": "vedeshp/xgb-tf-idf-classic", "kernel_id": "89465383"}, {"ref": "vinothkumarsekar89/jigsaw-qwen2-5-14b-gptq-int4-lora-finetune-2xt4", "kernel_id": "89547520"}, {"ref": "mythereus/jigsaw-xgb", "kernel_id": "89484046"}, {"ref": "mrinmayeerdeshpande/notebook4f3c84f429", "kernel_id": "89773892"}, {"ref": "ishraqtanvir/qwen2-5-orpo-finetune-baseline-inference-submissio", "kernel_id": "89135765"}, {"ref": "hiranorm/offline-install-ver-fork-of-qwen3embed-qwen2-5-32b", "kernel_id": "89723816"}, {"ref": "hiranorm/jigsaw-packages", "kernel_id": "89723908"}, {"ref": "jackeygle/fork-of-lb-0-9-re-finetune-qwen2-5-32b-llama3", "kernel_id": "89308732"}, {"ref": "jackeygle/close-t0-0-9", "kernel_id": "89250297"}, {"ref": "jackeygle/way-to-0-95", "kernel_id": "89560247"}, {"ref": "antonglushko1/notebooka434520b5e", "kernel_id": "89309066"}, {"ref": "emmisheikh/toxic-main-py", "kernel_id": "89691471"}, {"ref": "emmisheikh/toxic-coomentor", "kernel_id": "89906499"}, {"ref": "maruf99alam/jigsaw-testing", "kernel_id": "89985935"}, {"ref": "ridwanassidiq/submission-classification", "kernel_id": "89568659"}, {"ref": "jasperduan111/reddit-classifier-with-machine-learning", "kernel_id": "89244401"}, {"ref": "harshvardhanchand/lb-805-cross-encoder-inference", "kernel_id": "90442784"}, {"ref": "harshvardhanchand/lb-805-cross-encoder-train", "kernel_id": "90581321"}, {"ref": "rohitdileep/word2vec-svc", "kernel_id": "90852677"}, {"ref": "shrutidceit/basics-xgboost-few-shot-learning", "kernel_id": "90188401"}, {"ref": "shrutidceit/basic-cv-logistic-pipeline", "kernel_id": "90179112"}, {"ref": "shrutidceit/xplained-distilbert-fewshot-cv", "kernel_id": "90551671"}, {"ref": "minkyeongkim/test-on-testdataset-qwenemdding-llama", "kernel_id": "90692626"}, {"ref": "monigarrr/monigarr-jigsaw-strategy-2-reddit-specialized-mode", "kernel_id": "90234139"}, {"ref": "rachpark/jigsaw-eda", "kernel_id": "90184290"}, {"ref": "rachpark/jigsaw-distilbert-train", "kernel_id": "90179716"}, {"ref": "babydriver1233/jigsaw-agile-community-rules-classification", "kernel_id": "90425982"}, {"ref": "sunghoshim/jigsaw-just-use-semantic-search-qwen3-emb-kr", "kernel_id": "90709896"}, {"ref": "walusimbiisiah/notebook-c", "kernel_id": "90962781"}, {"ref": "walusimbiisiah/js-comp", "kernel_id": "90993156"}, {"ref": "kishanvavdara/test-on-testdataset-qwenemdding-llama-lr", "kernel_id": "90995342"}, {"ref": "fondrose/qptq-awq-qwen2-5-32b-qwen3-embedding-llama", "kernel_id": "90102712"}, {"ref": "muhammadmabdullah/agile-rules-final-version", "kernel_id": "90103706"}, {"ref": "atharvamuley25/jigsaw-rule-classification", "kernel_id": "90777322"}, {"ref": "junaid512/gamma3-1b-fine-tune", "kernel_id": "90124434"}, {"ref": "surav12/notebook2efd4883cf", "kernel_id": "90915584"}, {"ref": "muhammaddanyalmalik/0-960-all-in-once", "kernel_id": "90115031"}, {"ref": "samraddhigupta/jigsaw", "kernel_id": "90764026"}, {"ref": "yashdev01/jigsaw-nlp-from-scratch", "kernel_id": "90478805"}, {"ref": "huiqianooi/qwen2-5-7b-instruct", "kernel_id": "90591055"}, {"ref": "sarazahran1/jigsaw-agile-community-rules-classification", "kernel_id": "90563523"}, {"ref": "mythereus/fine-tuned-qwen-3-1-7b-base", "kernel_id": "90035315"}, {"ref": "trc204/jigsaw-keras-xgb", "kernel_id": "90640070"}, {"ref": "hyh273279/qwen2-5", "kernel_id": "90999052"}, {"ref": "nina2025/jigsaw-h-blend", "kernel_id": "90272324"}, {"ref": "sagar8trip/jigsaw-sentence-transformer", "kernel_id": "90154161"}, {"ref": "bluebalam/2025-09-11-jigsaw-laila", "kernel_id": "91831398"}, {"ref": "rusalmighty/qwen-qwen3-4b-instruct-2507", "kernel_id": "91472894"}, {"ref": "adiugm/grpo-jigsaw-competition", "kernel_id": "91926796"}, {"ref": "cannnn/flan-t5-xxl-few-shot-learning", "kernel_id": "91161043"}, {"ref": "mohamedelrouby/jigsaw-agile-comunityrules", "kernel_id": "91233312"}, {"ref": "shlomoron/jigsawacrc-scores-to-char", "kernel_id": "91827506"}, {"ref": "shlomoron/jigsawacrc-probe-1", "kernel_id": "91838019"}, {"ref": "junjitakeshima/jigsaw-try-to-gradually-improve-eng", "kernel_id": "91975783"}, {"ref": "monigarrr/monigarr-jigsaw-strat-2-inference", "kernel_id": "91552638"}, {"ref": "monigarrr/monigarr-jigsaw-strat-3-stacking", "kernel_id": "91960317"}, {"ref": "kyoumonemui/llm-as-a-spy-jigsaw-reddit-test-lb", "kernel_id": "91538737"}, {"ref": "vladimirkadalashvili/shieldgemma-inference", "kernel_id": "91836351"}, {"ref": "shivamsinghml/jigsaw-my-final-input", "kernel_id": "91976145"}, {"ref": "jojojunweilin/qwen-for-contest-final", "kernel_id": "91958059"}, {"ref": "barnobarno/test-time-training-tt", "kernel_id": "91691414"}, {"ref": "tianmaru/jigsaw-kagglehub", "kernel_id": "91632186"}, {"ref": "dimansinghahirwar/jigsaw-agile-community-rules-classification-v5", "kernel_id": "91637547"}, {"ref": "dimansinghahirwar/jigsaw-agile-community-rules-classification-v3", "kernel_id": "91715590"}, {"ref": "kagglejohn15/qwen-inference", "kernel_id": "91181570"}, {"ref": "kejishern/jigsaw-embedding-gemma-rf-baseline", "kernel_id": "91545216"}, {"ref": "ajaymoladiya/reddit-comment-rule-violation-binary-classifier", "kernel_id": "91800731"}, {"ref": "harutokotou/lb-0-916-preprocessing-qwen-hybrid-ensemble", "kernel_id": "91068344"}, {"ref": "rejk11/jigsaw-gemma3-perf-with-randomized-context", "kernel_id": "91145623"}, {"ref": "junaid512/offline-run-clearnotebook-qwen3-1b", "kernel_id": "91253909"}, {"ref": "biansun/speed-up-cut-lora-target-modules", "kernel_id": "91060172"}, {"ref": "vuine1/ff-go-next", "kernel_id": "91407785"}, {"ref": "santhankarnala/jigsaw-1", "kernel_id": "91851342"}, {"ref": "muhammaddanyalmalik/qwenemdding-llama", "kernel_id": "91913740"}, {"ref": "karasumiwang/qwen-32b-14b-using-rag-qwen-embedding", "kernel_id": "91182610"}, {"ref": "huiqianooi/distilbert-base-uncased", "kernel_id": "91015384"}, {"ref": "baodainguyen/notebook1d0e933ca8", "kernel_id": "91883608"}, {"ref": "guoooooooss/probe-lb-through-words", "kernel_id": "91652486"}, {"ref": "kickassnumberone/jigsaw-just-use-semantic-search-qwen3-emb-kr", "kernel_id": "91721409"}, {"ref": "kickassnumberone/jigsaw-agile-community-rules-classification", "kernel_id": "91639573"}, {"ref": "hiranorm/offline-install-vllm-0-10-0-i-qwenemdding-llama", "kernel_id": "91075047"}, {"ref": "hiranorm/jigsaw-packages2", "kernel_id": "91075329"}, {"ref": "jackeygle/embeddinggemma", "kernel_id": "91494337"}, {"ref": "maruf99alam/jigsaw-zozo", "kernel_id": "91420395"}, {"ref": "jojofarhan/jigsaw-distilbert-teamjojo", "kernel_id": "91248470"}, {"ref": "pythoxb/jigsaw", "kernel_id": "91314488"}, {"ref": "salahuddinbayassi/hands-on-implementation-of-classic-ml-algos", "kernel_id": "91640332"}, {"ref": "qaedtgyh/0-915-lb", "kernel_id": "91429564"}, {"ref": "swapanroy/reddit-comment-rule-violation-classifier", "kernel_id": "92930621"}, {"ref": "wowfattie/1st-place-code", "kernel_id": "92914076"}, {"ref": "crischir/v3finetunninggemma3", "kernel_id": "92333013"}, {"ref": "betlbaak/jigsaw-qwen-ensemble-log-cat-3-7", "kernel_id": "92354808"}, {"ref": "armughanyaqoob/qwen-3", "kernel_id": "92617243"}, {"ref": "monigarrr/monigarr-jigsaw-strat-3-inference", "kernel_id": "92198381"}, {"ref": "monigarrr/monigarr-jigsaw-strat-4-refrag-supervisormodel", "kernel_id": "92409569"}, {"ref": "monigarrr/monigarr-jigsaw-strat-5-qwen2-lora", "kernel_id": "92493021"}, {"ref": "monigarrr/jigsaw-strat-6-sota-multi-strategy-ensemble", "kernel_id": "92743201"}, {"ref": "rachpark/distilbert-train-reproducible", "kernel_id": "92026809"}, {"ref": "sunghoshim/jigsaw-train-on-test-data-qwen2-5-0-5b-kr", "kernel_id": "92506354"}, {"ref": "rzatemizel/rag-selecting-few-shots-with-similarity-spectrum", "kernel_id": "92847879"}, {"ref": "harutokotou/stricter-rules-prompt-qwen2-5-32b-qwen3-embedding", "kernel_id": "92500247"}, {"ref": "venkat199224/tf-idf-gradient-boosted-trees-xgboost-lightgb", "kernel_id": "92227285"}, {"ref": "libertyoviri/agile-community", "kernel_id": "92944552"}, {"ref": "nahidhossainredom/jigsaw-packages2-updated", "kernel_id": "92077083"}, {"ref": "nahidhossainredom/deberta-v3-base-3-epochs-lb-0-906", "kernel_id": "92802828"}, {"ref": "biswajitnahak/deberta-starter-notebook", "kernel_id": "92157945"}, {"ref": "pepushi/qwen3-4b-awq-qwen2-5-14b-gptq-int4-qwen3-embed", "kernel_id": "92461497"}, {"ref": "karasumiwang/offline-install-vllm-0-10-0-i-qwenemdding-llama", "kernel_id": "92315730"}, {"ref": "karasumiwang/14b-baseline-ft", "kernel_id": "92999470"}, {"ref": "gopumanvith/jigsaw-comp", "kernel_id": "92343616"}, {"ref": "hy7haseeb/notebook5043df2bb4", "kernel_id": "92175221"}, {"ref": "hy7haseeb/submission1", "kernel_id": "92058579"}, {"ref": "lalalaniu/1111fff", "kernel_id": "92435830"}, {"ref": "lalalaniu/new-one", "kernel_id": "92468247"}, {"ref": "hyh273279/fork-of-fork-of-lb-0-878-train-on-test-d-a7218f", "kernel_id": "92560267"}, {"ref": "daylighth/acrc-deberta-small-2epochs-1hr", "kernel_id": "92630126"}, {"ref": "jojofarhan/qwen-3-community-rules-classification", "kernel_id": "92266088"}, {"ref": "yousefkhalil005/reddit-comment-broke-a-specific-rul-textclassefier", "kernel_id": "92832700"}, {"ref": "wyc992/deberta-v3", "kernel_id": "92785283"}, {"ref": "shivamreturns/cross-encoders-v1", "kernel_id": "93816271"}, {"ref": "gpreda/jigsaw-data-analysis", "kernel_id": "93849846"}, {"ref": "harshvardhanchand/unable-to-train-on-colab-help-appreciated", "kernel_id": "93269278"}, {"ref": "vinikagglian/vin-jigsaw-2025", "kernel_id": "93584771"}, {"ref": "loto610/jigsaw-roberta-v6-probability-submission", "kernel_id": "93912016"}, {"ref": "datafan07/jigsaw-speed-run-10-min-triplet-and-faiss", "kernel_id": "93075011"}, {"ref": "arshadulhoque/reddit-comment-rule-violation-prediction", "kernel_id": "93248866"}, {"ref": "arshadulhoque/inference", "kernel_id": "93256682"}, {"ref": "maheshwari2000/jigsaw-submission", "kernel_id": "93207940"}, {"ref": "vladimirkadalashvili/collected-data-embeddings-logisticregression", "kernel_id": "93415998"}, {"ref": "sunghoshim/jigsaw-qwen2-5-14b-inferece-kr", "kernel_id": "93134632"}, {"ref": "nghiahoangtrung/jigsaw-speed-run-10-min-triplet-and-faiss", "kernel_id": "93719445"}, {"ref": "taguchi6/deberta-v3-base-3-epochs-lb-0-906", "kernel_id": "93324924"}, {"ref": "kunyang111/notebook7bc903fa81", "kernel_id": "93341551"}, {"ref": "sumithabharathi/notebookdf212d1ded", "kernel_id": "93981893"}, {"ref": "ankurksingh1312/jigsaw-deberta-submission-1", "kernel_id": "93092950"}, {"ref": "seitaf/jigsaw-reddit-comment-classification-bert", "kernel_id": "93748073"}, {"ref": "samoilovmikhail/jigsaw-plotly-eda-for-predicting-violations", "kernel_id": "93608676"}, {"ref": "jpsundararaj/jax-gemma-lora-triplet-loss-training-ipynb", "kernel_id": "93775573"}, {"ref": "mkb776/tf-idf-xgbclassifier", "kernel_id": "93581547"}, {"ref": "karasumiwang/test-on-testdataset-qwenemdding-llama-lr", "kernel_id": "93800053"}, {"ref": "umuttuygurr/qwen2-5-lora-ft-tta-spam-detection-0-89-target", "kernel_id": "93125089"}, {"ref": "huiqianooi/bge-base-en-v1-5", "kernel_id": "93820991"}, {"ref": "huiqianooi/llama3-2-1b-instruct", "kernel_id": "93507133"}, {"ref": "coconutnina/offline-install-vllm-0-10-0-i-qwenemdding-l-18f9d4", "kernel_id": "93531246"}, {"ref": "baophuc1204/jig-saw-notebook", "kernel_id": "93595903"}, {"ref": "ranaabdulrehman145/jigsaw-agile-final-ensemble-submission", "kernel_id": "93942813"}, {"ref": "sushanthtiruvaipati/knn-finetune-jigsaw", "kernel_id": "93736571"}, {"ref": "sushanthtiruvaipati/simple-multi-model-ensemble57cf4b2293", "kernel_id": "93932311"}, {"ref": "mohammadjafarzamani/roberta-large-0-8629-oof", "kernel_id": "93807828"}, {"ref": "lilylialu/remix-qwen-guard-solution", "kernel_id": "93012506"}, {"ref": "wrd7777/jigsaw1", "kernel_id": "93558621"}, {"ref": "shivamreturns/cross-encoders-v2", "kernel_id": "94002319"}, {"ref": "wasupandceacar/jigsaw-pseudo-training-llama-3-2-3b-instruct", "kernel_id": "94581583"}, {"ref": "stefanoclss/test-1", "kernel_id": "94962635"}, {"ref": "seowoohyeon/triplet-deberta-qwen", "kernel_id": "94900639"}, {"ref": "timurturdalijev/rulesense-01", "kernel_id": "94092022"}, {"ref": "lagrangianlocomotive/jigsaw-hybrid-roberta-embedding-ensemble", "kernel_id": "94219629"}, {"ref": "lagrangianlocomotive/jigsaw-final-ensemble", "kernel_id": "94287287"}, {"ref": "lagrangianlocomotive/jigsaw-simple-submission", "kernel_id": "94287462"}, {"ref": "joycelnomaly/ai-moderator-2rules-auc-0-87", "kernel_id": "94858913"}, {"ref": "kazumaidentity/03-triplet", "kernel_id": "94730327"}, {"ref": "kazumaidentity/03-search", "kernel_id": "94253903"}, {"ref": "kimdoong/strategy-rule-specialists", "kernel_id": "94230684"}, {"ref": "justforfun44/mega-ensemble-with-930", "kernel_id": "94315673"}, {"ref": "dh6210/tt-qwen2-5-0-5b-tt-deberta-qwen3-0-6b-emb", "kernel_id": "94584259"}, {"ref": "nguyenminhquanhcmus/baseline-rule-violation", "kernel_id": "94165252"}, {"ref": "biansun/qwen-family", "kernel_id": "94959259"}, {"ref": "sanjayl007/jigsaw-submission-code", "kernel_id": "94365287"}, {"ref": "aliguinga5/tt-qwen2-5-0-5b-tt-deberta-qwen3-0-6b-emb", "kernel_id": "94862417"}, {"ref": "urbestfriend/unsloth-vllm-qwen4b-llama3b", "kernel_id": "94869248"}, {"ref": "karasumiwang/qwq-baseline", "kernel_id": "94000998"}, {"ref": "vinothkumarsekar89/jigsaw-lora-qwen25-0-5b-lora", "kernel_id": "94925072"}, {"ref": "huiqianooi/deberta-large-deberta-base-bge", "kernel_id": "94130212"}, {"ref": "huiqianooi/deberta-classification-bge-semantic-context", "kernel_id": "94357213"}, {"ref": "huiqianooi/qwen-deberta-bge", "kernel_id": "94900403"}, {"ref": "vanshikaraghav/notebook02da78b92b", "kernel_id": "94273368"}, {"ref": "mythereus/fine-tuned-multi-model-solution", "kernel_id": "94163933"}, {"ref": "ishitabahamnia/agile-jigsaw-notebookcf756ec541", "kernel_id": "94682531"}, {"ref": "jieuna1/twitter-roberta-base-sentiment-latest-model-ft", "kernel_id": "94964717"}, {"ref": "hiranorm/lb-0-923-qwen2-5-32b-deberta-v3-qwen3", "kernel_id": "94872219"}, {"ref": "baophuc1204/jigsaw-fine-tuned-solution-v1", "kernel_id": "94674080"}, {"ref": "ranaabdulrehman145/jigsaw-competition-12", "kernel_id": "94756150"}, {"ref": "jojofarhan/qwen-ensemble-lora-gptq-embeddings", "kernel_id": "94913106"}, {"ref": "shenggedf/a-learner-s-attempt-in-qwen3-embedding", "kernel_id": "94357230"}, {"ref": "sushanthtiruvaipati/lora-finetune-jigsaw0ef11e0a7a", "kernel_id": "94181617"}, {"ref": "sushanthtiruvaipati/knn-jigsaw-data-augumentation", "kernel_id": "94249261"}, {"ref": "mohammadjafarzamani/jigsaw-rules-classification-ensemble-approach-v1", "kernel_id": "94035222"}, {"ref": "dezataro/tf-idf-sbert", "kernel_id": "94722737"}, {"ref": "samuelgoncalvesmalta/sam-jigsaw-apply", "kernel_id": "94123019"}, {"ref": "adrienthomas/jigsaw-agile-community-rules-classification", "kernel_id": "94949506"}, {"ref": "raghvendrakul/jigsaw-final-qwen3-4b-llama3-2-3b-anchor-embed", "kernel_id": "95694025"}, {"ref": "nischallal/training", "kernel_id": "95215157"}, {"ref": "nischallal/deberta-for-community-rules-classifier", "kernel_id": "95085990"}, {"ref": "chaki18081999/simplest-possible-baseline-td-idf-lightgbm", "kernel_id": "95595323"}, {"ref": "chenbaoying/jigsaw-test-time-training-with-llm-and-bert", "kernel_id": "95635141"}, {"ref": "williamwu88/giga-ensemble-top-932", "kernel_id": "95276757"}, {"ref": "udaken10/pip-download-library", "kernel_id": "95263161"}, {"ref": "lauvfpitipak/jigsaw-fine-tuned-solution-v1", "kernel_id": "95260791"}, {"ref": "lauvfpitipak/test-on-testdataset-qwenemdding-llama-lr", "kernel_id": "95258272"}, {"ref": "seowoohyeon/triplet-deberta-qwen-ver2", "kernel_id": "95323276"}, {"ref": "ravi20076/jigsaw2025-finalsubmission-v1", "kernel_id": "95572357"}, {"ref": "ravi20076/jigsaw2025-hfmodels-v1", "kernel_id": "95655764"}, {"ref": "rzatemizel/multilingual-e5-large-instruct-hpo-on-2-gpus", "kernel_id": "95507555"}, {"ref": "rzatemizel/e5-large-instruct-deberta-large-qwen0-6-embed-sft", "kernel_id": "95800155"}, {"ref": "mariusdumitrescu/chatbot-qwen2-5-32b-qwen3-embedding", "kernel_id": "95046322"}, {"ref": "chenbaba/jigsaw1", "kernel_id": "95229157"}, {"ref": "nikoro256/qwen2-5-1-5b-testtime-qwen2-5-14b-deberta", "kernel_id": "95638697"}, {"ref": "yangjiahua/finall-qwen3-8b-int4", "kernel_id": "95172741"}, {"ref": "kazumaidentity/03-ensemble", "kernel_id": "95524020"}, {"ref": "kazumaidentity/02-tt-llama-3-2-3b", "kernel_id": "95080135"}, {"ref": "yuhanbah/deberta-large-latesub", "kernel_id": "95740461"}, {"ref": "mango789/jigsaw-ensemble-all", "kernel_id": "95753992"}, {"ref": "shivsatyam/qwen2-5-gptq-32b-instruct-int4-inference", "kernel_id": "95548786"}, {"ref": "biansun/four-llms-votes-speedup-by-cutting-lora-target", "kernel_id": "95031587"}, {"ref": "xzwyyds/18th-place-solution", "kernel_id": "95753889"}, {"ref": "sanjayl007/notebookee412f2b0c", "kernel_id": "95845436"}, {"ref": "seitaf/jigsaw-ensembling-bert-models-score-0-9", "kernel_id": "95759186"}, {"ref": "muyouqian4/ex-qwen3-2-llama2-llama3-da-qwen3-llama3", "kernel_id": "95491843"}, {"ref": "tahermerchant25/ridgeregressionbasednotebook", "kernel_id": "95879009"}, {"ref": "karasumiwang/qwen2-5-32b-deberta-eb", "kernel_id": "95945279"}, {"ref": "djamilabenchikh/llm-graph-neural-network-hybrid", "kernel_id": "95092669"}, {"ref": "vinothkumarsekar89/jigsaw-lora-qwen25-14b-7b-gptq4", "kernel_id": "95252068"}, {"ref": "vinothkumarsekar89/jigsaw-lora-qwen25-3b-unsloth", "kernel_id": "95878409"}, {"ref": "vinothkumarsekar89/jigsaw-emb-qwen3-0-6b-similarity-search-rr", "kernel_id": "95636835"}, {"ref": "gunianxue/jigsaw-pseudo-training-llama-3-2-3", "kernel_id": "95961436"}, {"ref": "aryan7512222/lasttry7512", "kernel_id": "95618544"}, {"ref": "yujung1125/jigsaw-using-deberta", "kernel_id": "95397676"}, {"ref": "sushanthtiruvaipati/catboost-jigsaw", "kernel_id": "95076440"}, {"ref": "beginmiro/deberta-large-5epochs-1hr", "kernel_id": "95947662"}, {"ref": "damiend6/jigsaw-agile", "kernel_id": "95268818"}, {"ref": "raghvendrakul/jigsaw-ps-tr-qwen3-4b-unsloth-v2", "kernel_id": "96085852"}, {"ref": "zhenlanwang/kaggle-probe", "kernel_id": "96854176"}, {"ref": "rusalmighty/jigsaw-4th-place-solution", "kernel_id": "96608913"}, {"ref": "pondelion/jigsaw-3h-qwen2-5-1-5b-multitask", "kernel_id": "96385375"}, {"ref": "pondelion/jigsaw-1h-gemma3-bge-emb-x-lgbm", "kernel_id": "96371001"}, {"ref": "ebinan92/18th-solution", "kernel_id": "96092628"}, {"ref": "tobimichigan/jigsaw-agile-dev-robust-rule-violation-detection", "kernel_id": "96313622"}, {"ref": "socom20/jigsaw-pretraining-v82", "kernel_id": "96871425"}, {"ref": "socom20/3rd-place-solution", "kernel_id": "96026400"}, {"ref": "woosungyoon/gemma-2x2b-winrate", "kernel_id": "96574081"}, {"ref": "woosungyoon/fasttext-submission-test", "kernel_id": "96327621"}, {"ref": "woosungyoon/mmbert-60-fold-test", "kernel_id": "96332982"}, {"ref": "rachpark/jigsaw-pseudo-training-llama-3-2-3b-instruc-fd7d23", "kernel_id": "96026713"}, {"ref": "ducnh279/dml-qwen3-14b-qwen2-5-14b", "kernel_id": "96551355"}, {"ref": "ducnh279/6th-place-solution-deep-mutual-learning", "kernel_id": "96150341"}, {"ref": "kishanvavdara/qwen2-5-32b-simliarity-based-sampling", "kernel_id": "96351265"}, {"ref": "kishanvavdara/5th-place-solution-diverse-ensemble", "kernel_id": "96681058"}, {"ref": "tahrimbilal/competition-notebook", "kernel_id": "96247167"}, {"ref": "andyliuyq/llama-3-2-3b-qwen2-514b-bge-final", "kernel_id": "96493855"}, {"ref": "muhammaddanyalmalik/deberta-large", "kernel_id": "96173727"}, {"ref": "muhammaddanyalmalik/optimizationto-nano-model", "kernel_id": "96244679"}, {"ref": "pepushi/deberta-large-2epochs-1hr-51680c", "kernel_id": "96145775"}, {"ref": "daoheliu/solution-ranked-97-in-score-0-92239", "kernel_id": "96162813"}, {"ref": "mkb776/xgboost", "kernel_id": "96635849"}, {"ref": "vinothkumarsekar89/jigsaw-lora-qwen25-0-5b-3b-unsloth", "kernel_id": "96154492"}, {"ref": "huiqianooi/hybrid-qwen14b-deberta-base-large", "kernel_id": "96051523"}, {"ref": "deepaktala/deepak-v3", "kernel_id": "96912600"}, {"ref": "valarmorghulis30/jigsaw-agile", "kernel_id": "96055133"}, {"ref": "wenqianyeee/10-23111", "kernel_id": "96168476"}, {"ref": "adrienthomas/notebookbf69a321ac", "kernel_id": "96149226"}, {"ref": "adrienthomas/notebook17b7345e4e", "kernel_id": "96130124"}, {"ref": "michal12138/notebookc4e4a9206d", "kernel_id": "96745777"}, {"ref": "mohsifauddin/jigsaw-agile-community-rules-classification-svm", "kernel_id": "96192115"}, {"ref": "kcotton21/jigsaw-acrc-7th-place-private-0-92760", "kernel_id": "97501978"}, {"ref": "yangjiahua/jigsaw-dml-no-subreddit-dataaugment", "kernel_id": "97793022"}, {"ref": "yaoqingjin/4-llms-ensemble", "kernel_id": "97713673"}, {"ref": "deepaktala/deepak-v2", "kernel_id": "97358867"}, {"ref": "vish3949/ai-projec", "kernel_id": "97694514"}, {"ref": "ymdnoyk/147th-llm-deberta-bge", "kernel_id": "97411219"}, {"ref": "yxkagglegle/fork-of-mocode-ipynb", "kernel_id": "97563224"}, {"ref": "yxkagglegle/jigsaw-speed-run-10-min-triplet-and-faiss-af5e7a", "kernel_id": "97562392"}, {"ref": "dnarek/classify-comment-fine-tune", "kernel_id": "98795707"}, {"ref": "hohohogamer/qwen2-5-lora-train", "kernel_id": "98888294"}, {"ref": "krrishcoder/new-version", "kernel_id": "98137992"}, {"ref": "deepaktala/new-version", "kernel_id": "98116844"}, {"ref": "rafaelhafidtaftazani/jigsaw-agile-community-rules-classification", "kernel_id": "98091679"}, {"ref": "niranjanobito/movies-and-games-bot", "kernel_id": "98028194"}, {"ref": "bluebalam/2025-10-02-jigsaw-ranker-fine-tuning", "kernel_id": "99936294"}, {"ref": "huyqn12/offline-install-vllm-0-10-0-i-qwenemdding-llama", "kernel_id": "99952934"}, {"ref": "krrishcoder/transformers", "kernel_id": "100519760"}, {"ref": "alhamdywahyu/jigsaw", "kernel_id": "100567101"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "mohsifauddin/jigsaw-agile-community-rules-classificatio", "kernel_id": "101646126"}, {"ref": "afrizalrafli/notebook2799541ebe", "kernel_id": "101661650"}, {"ref": "anwyuri/baseline-similarity-fewshot", "kernel_id": "102969804"}, {"ref": "anwyuri/jigsaw-baseline-exp002-sentence-transformers", "kernel_id": "102965902"}, {"ref": "anwyuri/exp003-submission-v2", "kernel_id": "102878374"}, {"ref": "ajverse/jigsaw-solution-gemma3", "kernel_id": "102716587"}, {"ref": "ajverse/jigsaw-classifier-v2", "kernel_id": "102743114"}, {"ref": "toan992004/jigsaw-agile-community-rules-classification-ipyn", "kernel_id": "103923746"}, {"ref": "fzero777/acrc-deberta-small-2epochs-1hr", "kernel_id": "104784081"}, {"ref": "cuizhiyi/classify", "kernel_id": "105208038"}, {"ref": "mushi17/llm-apply", "kernel_id": "106301085"}, {"ref": "kazumaidentity/01-lora-sample", "kernel_id": "107158631"}, {"ref": "kazumaidentity/01-baseline-1-gemma3-sample-rules-classification", "kernel_id": "107144974"}, {"ref": "kazumaidentity/00-jigsaw-eda", "kernel_id": "107146322"}, {"ref": "kazumaidentity/02-tt-qwen2-5-0-5b", "kernel_id": "107149066"}, {"ref": "hirunarathnayake/jigsawagile", "kernel_id": "109079790"}, {"ref": "tang30624700/jigsaw-fine-tuned-solution-v1", "kernel_id": "116361719"}, {"ref": "btrinh1905/jigsaw-community-rules", "kernel_id": "116735229"}, {"ref": "btrinh1905/damh-nlp-final", "kernel_id": "119408824"}, {"ref": "estherpui/jigsaw-llm-v5", "kernel_id": "121311222"}]}
{"competition_id": "94661", "kernels": []}
{"competition_id": "94689", "kernels": [{"ref": "muhammadaashirirshad/multiview-2d-cnn-f1-score-0-51", "kernel_id": "80080813"}, {"ref": "annamityukova/fixmatch-approach-on-volumetric-data-pytorch", "kernel_id": "80663962"}, {"ref": "ambrosm/forams-linear-discriminant-analysis", "kernel_id": "81624766"}, {"ref": "adhithyasrinivasan/notebook3c0b978668", "kernel_id": "82492633"}, {"ref": "ambrosm/forams-pseudolabeling-and-resnet-50", "kernel_id": "82885387"}, {"ref": "manasi197/forams-classification-semi-supervised", "kernel_id": "82289424"}, {"ref": "stpeteishii/forams-lightning-efficinentnetb3-autoencoder", "kernel_id": "83281507"}]}
{"competition_id": "94697", "kernels": [{"ref": "anmuser/ieee-digit-competition", "kernel_id": "77603226"}, {"ref": "wuanwan/cnn-digital-recognition", "kernel_id": "84256602"}]}
{"competition_id": "94723", "kernels": []}
{"competition_id": "94771", "kernels": [{"ref": "sabarinathan/commodity-prediction-challenge-data-analysis", "kernel_id": "87992633"}, {"ref": "sohier/mitsui-target-calculation-example", "kernel_id": "87086183"}, {"ref": "sohier/mitsui-demo-submission", "kernel_id": "87081863"}, {"ref": "docxian/mitsui-commodity-prediction-let-s-explore", "kernel_id": "87845984"}, {"ref": "codingloading/added-some-extra-features-that-s-it", "kernel_id": "87855176"}, {"ref": "ayumushiraishi/mitsui-co-simple-eda-walker", "kernel_id": "87998851"}, {"ref": "stpeteishii/data-view-and-calculate-test-labels", "kernel_id": "87828254"}, {"ref": "sitrakamatthew/luxcomodities", "kernel_id": "87970502"}, {"ref": "mpwolke/mitsui-co-commodity-reduce-memory-usage", "kernel_id": "87815547"}, {"ref": "yasunorim/forward-looking-targets", "kernel_id": "87984488"}, {"ref": "negoto/mitsui-dataset-overview-visualization", "kernel_id": "87827582"}, {"ref": "takaito/mitsui-cpc-gradient-boosting-models-inference", "kernel_id": "87803742"}, {"ref": "takaito/mitsui-cpc-gradient-boosting-models-training", "kernel_id": "87800337"}, {"ref": "udaken10/first-look-eda", "kernel_id": "87930988"}, {"ref": "mgferreira/test-target-generation", "kernel_id": "87966678"}, {"ref": "ravi20076/mitsui2025-submission-v1", "kernel_id": "87815598"}, {"ref": "ravi20076/mitsui2025-public-imports-v1", "kernel_id": "87808348"}, {"ref": "ravi20076/mitsui2025-lbprobe-v1", "kernel_id": "87936904"}, {"ref": "ravi20076/mitsui2025-public-baseline-v1", "kernel_id": "87863199"}, {"ref": "ravi20076/mitsui2025-extensiveeda-v1", "kernel_id": "87983375"}, {"ref": "taylorsamarel/mitsui-and-co-starter", "kernel_id": "87927426"}, {"ref": "taylorsamarel/leaderboard-probing-with-prophet-and-more", "kernel_id": "87956027"}, {"ref": "minglv/mitsui-co-cpc-lv", "kernel_id": "87944333"}, {"ref": "alwanna/longlong", "kernel_id": "87950679"}, {"ref": "alwanna/longlong-v2-without-catboost", "kernel_id": "87989236"}, {"ref": "gauripatil2299/mitsui-commodity-prediction-challenge-3", "kernel_id": "87851940"}, {"ref": "olaflundstrom/mitsui-co-commodity-prediction-challenge", "kernel_id": "87861327"}, {"ref": "marcelocruzeta/m-co-cpc", "kernel_id": "87936982"}, {"ref": "chenpengzang/commodity-single-instrumet-return-predict", "kernel_id": "87957115"}, {"ref": "hengck23/lme-jpx-data-after-kaggle-cutoff-23-05-2025", "kernel_id": "88537659"}, {"ref": "hengck23/lb0-456-no-leak-no-lag-no-date-mlp-list-rank-loss", "kernel_id": "88940857"}, {"ref": "davero/mitsui-including-lags-example", "kernel_id": "88166871"}, {"ref": "verracodeguacas/geoeconomic-commodity-flows-fx-dynamics-eda", "kernel_id": "88259859"}, {"ref": "shiyili/mitsui-start-notebook", "kernel_id": "88980972"}, {"ref": "ishaan45/mitsui-feature-generation-selection", "kernel_id": "88152024"}, {"ref": "jazivxt/energy-symbols", "kernel_id": "88064767"}, {"ref": "dedquoc/mitsui-co-cpc-with-lightgbmv2", "kernel_id": "88047403"}, {"ref": "sundaramseth/mitsui-co-commodity-prediction", "kernel_id": "88160873"}, {"ref": "samyakb/chronos-not-working-please-help", "kernel_id": "88262365"}, {"ref": "santosh1974/interactive-eda-commodity-forecasting-with-plotl", "kernel_id": "88317440"}, {"ref": "santosh1974/fast-ens-pipeline-xgb-lgb-nn-for-commodity-pred", "kernel_id": "88165695"}, {"ref": "santosh1974/beginner-s-guide-commodity-forecasting-eda", "kernel_id": "88076764"}, {"ref": "youneseloiarm/mitsui-co-probing-lb", "kernel_id": "88301865"}, {"ref": "youneseloiarm/mitsui-dataset-overview-visualization-python", "kernel_id": "88235447"}, {"ref": "youneseloiarm/mitsui-co-multi-output-with-lags-01", "kernel_id": "88981526"}, {"ref": "asadalikhan92/submission2", "kernel_id": "88678821"}, {"ref": "asadalikhan92/submission3", "kernel_id": "88679891"}, {"ref": "maverickss26/commodity-price-prediction-v1", "kernel_id": "88374862"}, {"ref": "vanshitasharma/mitsui-data-insights", "kernel_id": "88677737"}, {"ref": "ravi20076/mitsui2025-targetinsights", "kernel_id": "88005897"}, {"ref": "balajivaraprasad/mitsui-co-eda-ann", "kernel_id": "88519567"}, {"ref": "nitingupta300/mitsui-auto-regressive-model", "kernel_id": "88095720"}, {"ref": "shionao7/commodity-price-prediction-eda", "kernel_id": "88674685"}, {"ref": "gkanamoto/mitsui-prediction-challenge", "kernel_id": "88150097"}, {"ref": "taylorsamarel/leaderboard-probing-with-prophet-and-more-fork", "kernel_id": "88025109"}, {"ref": "srinivasta/mitsui-commodity-prediction-challenge-predictor", "kernel_id": "88950811"}, {"ref": "abhinavsharma0706/mitsui-co-prediction-01", "kernel_id": "88363435"}, {"ref": "simplemiant/first-init", "kernel_id": "88962826"}, {"ref": "jimohyekini/notebook0073d19e7a", "kernel_id": "88449227"}, {"ref": "vet231199/algorithms-against-chaos", "kernel_id": "88975898"}, {"ref": "ronaldkalani/markets", "kernel_id": "88176184"}, {"ref": "kingsleynkanim/mitsui-demo-submission-parquet", "kernel_id": "88246946"}, {"ref": "porwalakash/mitsui-co-eda", "kernel_id": "88537501"}, {"ref": "alwanna/tabnet-model-aa", "kernel_id": "88398414"}, {"ref": "pdorival/challenge-project-mitsui-co-commodity", "kernel_id": "88204210"}, {"ref": "junaid512/data-analysis-of-eda-mitsui-co", "kernel_id": "88263316"}, {"ref": "junaid512/mitsui-co-commodity-prediction-challenge-2", "kernel_id": "88435258"}, {"ref": "koushikkumardinda/mitsui-co-commodity-prediction-challenge", "kernel_id": "88149994"}, {"ref": "shevtsovapolina/lfxnet-multimarket-forecast", "kernel_id": "88295243"}, {"ref": "shion0302/mitsui-sub", "kernel_id": "88774774"}, {"ref": "trjanhrsehtxmustang/mits-subm", "kernel_id": "88336607"}, {"ref": "sarojsinghdhami/projectnp", "kernel_id": "88155603"}, {"ref": "khai42/eda-on-mitsui", "kernel_id": "88957669"}, {"ref": "yusuketogashi/mitsui-train-cv-predict", "kernel_id": "88001921"}, {"ref": "hirotoshisaito/commodity-prediction-hs", "kernel_id": "88132234"}, {"ref": "nicholechristie/notebook12dc146197", "kernel_id": "88101718"}, {"ref": "vishaljadhav88/submission-parquet", "kernel_id": "88269778"}, {"ref": "jishnusanyal2/mitsuiprediction-jishsan", "kernel_id": "88478387"}, {"ref": "alexshvartsman/notebook7b2762f239", "kernel_id": "88914324"}, {"ref": "whysocurious/initial-eda-and-relevant-insights", "kernel_id": "89263331"}, {"ref": "whysocurious/volatility-analysis-and-insights", "kernel_id": "89264105"}, {"ref": "whysocurious/lead-lag-analysis-and-insights", "kernel_id": "89264775"}, {"ref": "mavillan/mitsui-lgbm-long-format-rank-metric-ts-features", "kernel_id": "89796259"}, {"ref": "vpalvesalan/initial-eda-for-mitsui-competition", "kernel_id": "89306976"}, {"ref": "jiahuiwu2018/eda-time-series-pca-correlation-and-clustering", "kernel_id": "89064439"}, {"ref": "kuenoo/mitsui-co-error-handling", "kernel_id": "89707713"}, {"ref": "sandhyaavasthi/commodity-prediction-challenge-mitsui-co", "kernel_id": "89293090"}, {"ref": "takeshimorimura/mitsui-lgb-baseline-5foldcv-leakfreesub", "kernel_id": "89013586"}, {"ref": "udaken10/all-prophet-may-without-leek", "kernel_id": "89022163"}, {"ref": "udaken10/baseline-catboost-train", "kernel_id": "89535365"}, {"ref": "udaken10/baseline-catboost-submit", "kernel_id": "89533988"}, {"ref": "kohashi0000/lgbm-trial-mitsui", "kernel_id": "89014349"}, {"ref": "santosh1974/feature-lab-mitsui-features-v2-private", "kernel_id": "89082758"}, {"ref": "santosh1974/mitsui-co-com-pred-e2e-v2-1-cpu", "kernel_id": "89083444"}, {"ref": "santosh1974/beginner-cpu-friendly-ridge-baseline", "kernel_id": "89064245"}, {"ref": "youneseloiarm/mitsui-co-h2o-automl-with-lags-sub-02", "kernel_id": "89492633"}, {"ref": "youneseloiarm/mitsui-co-autogluon-with-lags-sub-02", "kernel_id": "89494432"}, {"ref": "youneseloiarm/mitsui-co-mljar-automl-with-lags-sub-02", "kernel_id": "89495212"}, {"ref": "youneseloiarm/mitsui-co-flaml-with-lags-sub-02", "kernel_id": "89498073"}, {"ref": "youneseloiarm/mitsui-co-mljar-automl-with-lags-02", "kernel_id": "89201945"}, {"ref": "youneseloiarm/mitsui-co-flaml-with-lags-02", "kernel_id": "89201350"}, {"ref": "youneseloiarm/mitsui-co-h2o-automl-with-lags-02", "kernel_id": "89202508"}, {"ref": "youneseloiarm/mitsui-co-autogluon-with-lags-02", "kernel_id": "89191299"}, {"ref": "youneseloiarm/mitsui-co-ensembling-gradientboosting-with-lags-02", "kernel_id": "89060002"}, {"ref": "seowoohyeon/mitsui-mlp-xgb-ridge-adj-no-leak", "kernel_id": "89347208"}, {"ref": "seowoohyeon/eda-mitsui", "kernel_id": "89579981"}, {"ref": "imnaho/understanding-and-eda", "kernel_id": "89587886"}, {"ref": "uuratl/bidirectional-lstm", "kernel_id": "89689082"}, {"ref": "minglv/mitsui-eda-advanced-fe-lgbm-transformer-tpu", "kernel_id": "89920387"}, {"ref": "minglv/mitsui-multitask-lightgbm-rank-sharpe-stable-base", "kernel_id": "89921079"}, {"ref": "xthistle999/mitsui-commodity-mlops-submission", "kernel_id": "89118665"}, {"ref": "terhuichee/geoeconomic-commodity-flows-fx-dynamics-eda", "kernel_id": "89030060"}, {"ref": "joshuahyunbinlee/mitsui-submission", "kernel_id": "89598574"}, {"ref": "jefersoncollutte/mitsui-neural-networks-complete-v3", "kernel_id": "89713123"}, {"ref": "jefersoncollutte/mitsui-neural-networks-complete", "kernel_id": "89713536"}, {"ref": "jefersoncollutte/mitsui-neural-networks-fixed", "kernel_id": "89710840"}, {"ref": "jefersoncollutte/mitsui-neural-networks-complete-course-project", "kernel_id": "89709309"}, {"ref": "jefersoncollutte/mitsui-ada-tech-final-project", "kernel_id": "89711014"}, {"ref": "jefersoncollutte/mitsui-neural-networks", "kernel_id": "89711188"}, {"ref": "jefersoncollutte/mitsui-neural-networks-v4-proper-data-treatment", "kernel_id": "89711711"}, {"ref": "jefersoncollutte/mitsui-neural-networks-complete-v4", "kernel_id": "89711869"}, {"ref": "jefersoncollutte/mitsui-neural-networks-v5", "kernel_id": "89714275"}, {"ref": "jefersoncollutte/mitsui-nn-final-project", "kernel_id": "89713711"}, {"ref": "jefersoncollutte/mitsui-ada-tech-final", "kernel_id": "89713924"}, {"ref": "porwalakash/one-commodity-deep-dive", "kernel_id": "89263723"}, {"ref": "danieltsai04/mitsui-co-commodity-prediction-model-development", "kernel_id": "89097176"}, {"ref": "mr64891901/lag-only", "kernel_id": "89289817"}, {"ref": "shunyafukuda/baseline-lgbm-train", "kernel_id": "89421005"}, {"ref": "shunyafukuda/baseline-lgbm-submit", "kernel_id": "89484644"}, {"ref": "meetbabariya/ridge-regression-no-leak", "kernel_id": "89125592"}, {"ref": "dnlkrl/mitsui-eda-feature-engineering-baby-models", "kernel_id": "89411296"}, {"ref": "yusuketogashi/leak-safe-3cv-shakedown-proof-pipeline", "kernel_id": "89393173"}, {"ref": "vishaljadhav88/notebook9a26e00ad1", "kernel_id": "89179351"}, {"ref": "jharnanakrani/kakashi-a", "kernel_id": "89657755"}, {"ref": "piyushsinghxt/test5", "kernel_id": "89610056"}, {"ref": "piyushsinghxt/test4", "kernel_id": "89594035"}, {"ref": "brokennose/mitsui-demo-submission-simple-log-returns", "kernel_id": "90221950"}, {"ref": "martinhewing/mitsui-commodity-prediction-eda", "kernel_id": "90878463"}, {"ref": "zagatov/notebook65f9532b26", "kernel_id": "90785621"}, {"ref": "takeshimorimura/eda-lag-and-target-distribution", "kernel_id": "90419858"}, {"ref": "udaken10/leak-safe", "kernel_id": "90215500"}, {"ref": "babydriver1233/mitsui-co-commodity-prediction-challenge", "kernel_id": "90703488"}, {"ref": "joshuahyunbinlee/mitsui-lstm-gru", "kernel_id": "90494731"}, {"ref": "zainabalbakaa/submission-parquet", "kernel_id": "90313501"}, {"ref": "kebaka/mitsui-first-draft", "kernel_id": "90194638"}, {"ref": "carlospereavega/mitsui-co-commodity-prediction", "kernel_id": "90598813"}, {"ref": "gothamjocker/initial-pred-using-transformer-arch", "kernel_id": "90470079"}, {"ref": "sanchitmehta2004/mitsui-sub3", "kernel_id": "90120661"}, {"ref": "shadycoderalltime/mitsui-co", "kernel_id": "90167145"}, {"ref": "zhangyuehan151/leaderboard-probing-with-prophet-and-more-f-da4849", "kernel_id": "90084584"}, {"ref": "zhangyuehan151/notebookd8053d3588", "kernel_id": "90126401"}, {"ref": "devanshshukla123/notebook-mitsui", "kernel_id": "90861780"}, {"ref": "ishhverma/sfcrypto", "kernel_id": "90658864"}, {"ref": "pondelion/mitsui-rulebase-rank-ma-prediction-baseline", "kernel_id": "91804886"}, {"ref": "kizmodo/straycat-mitsui-pca-lgbm", "kernel_id": "91501983"}, {"ref": "yutodennou/basic-research", "kernel_id": "91815921"}, {"ref": "takeshimorimura/mlp-baseline-cv", "kernel_id": "91378123"}, {"ref": "chakrabhuanavdeva/mitsui-competition", "kernel_id": "91665087"}, {"ref": "motokimihara/notebook-mihara", "kernel_id": "91746828"}, {"ref": "emregrsoy/xgboost-lightgbm-and-feature-comparison", "kernel_id": "91132044"}, {"ref": "coderjay/mitsui-commodity-lgbm-v4", "kernel_id": "91269344"}, {"ref": "sethmoudry/mitsui-ensemble-prediction-with-cv", "kernel_id": "91269074"}, {"ref": "yamaguchi426/check-equality-of-log-returns", "kernel_id": "91456533"}, {"ref": "onya31/mitsui-co-commodity-prediction-japanese-tutorial", "kernel_id": "91470980"}, {"ref": "livelylove/commodity-prediction-xgboost", "kernel_id": "91276826"}, {"ref": "alleymax0215/multi-model-lgbm-xgb", "kernel_id": "91273085"}, {"ref": "vinay04kasana/comdity-pred", "kernel_id": "91395212"}, {"ref": "sarbojeetbhowmick/mitsui-co-mljar", "kernel_id": "91661798"}, {"ref": "kospintr/mitsui-co-senet-lstm-baseline", "kernel_id": "91740727"}, {"ref": "maohengliu/0-427-no-leak", "kernel_id": "91290074"}, {"ref": "rrpiyo/notebookd96275d34b", "kernel_id": "91149334"}, {"ref": "danhle1/notebook6e41cacf71", "kernel_id": "91160294"}, {"ref": "wade10729/notebookmitsuiv12", "kernel_id": "91630538"}, {"ref": "hathofalrawe/hathof-v1", "kernel_id": "91597973"}, {"ref": "cmirani/groundtruthsimple-v2", "kernel_id": "92494283"}, {"ref": "sajankumar/mitsui-co-commodity-prediction-challenge-lstm", "kernel_id": "92929565"}, {"ref": "stpeteishii/mitsui-randomforest-with-is-scored-false", "kernel_id": "92482921"}, {"ref": "stpeteishii/mitsui-randomforestregressor", "kernel_id": "92460846"}, {"ref": "clora16/mitsui-co-lightgbm-train-and-submission", "kernel_id": "92505748"}, {"ref": "asadalikhan92/hybrid-stagewise-ensemble-for-mitsui-commodity-pre", "kernel_id": "92855323"}, {"ref": "dnyaneshwalwadkar/mitsui-challenge-full-pipeline-eda-to-submission", "kernel_id": "92364872"}, {"ref": "ryn91330/mitsui-pred", "kernel_id": "92349947"}, {"ref": "junaid512/enhance-more-mitsui-co-complete-eda-analysis", "kernel_id": "92063868"}, {"ref": "christoslazaridis/mitsui-commodity-chall-submission-training-cut", "kernel_id": "92082185"}, {"ref": "christoslazaridis/mitsui-commodity-chall-training-final", "kernel_id": "92760527"}, {"ref": "christoslazaridis/mitsui-commodity-chall-fine-tune", "kernel_id": "92931806"}, {"ref": "alleymax0215/gru-model", "kernel_id": "92488809"}, {"ref": "britishsamurai/ground-truth", "kernel_id": "92341729"}, {"ref": "shlokkumar2303/mitsui-competition", "kernel_id": "92069980"}, {"ref": "luckybestie/futures-forecaster-fast", "kernel_id": "92194289"}, {"ref": "soonduck/mitsui-co-commodity-prediction", "kernel_id": "92763298"}, {"ref": "kimasplund/mitsui-commodity-prediction-sharpe-optimized", "kernel_id": "92848429"}, {"ref": "kimasplund/mitsui-sharpe-optimized-parquet", "kernel_id": "92848742"}, {"ref": "kimasplund/mitsui-csv-submission", "kernel_id": "92849908"}, {"ref": "kimasplund/mitsui-parquet-submission-fixed", "kernel_id": "92849992"}, {"ref": "kimasplund/mitsui-simple-parquet-submission", "kernel_id": "92849548"}, {"ref": "kimasplund/mitsui-full-power-5777-features", "kernel_id": "92850850"}, {"ref": "kimasplund/mitsui-gateway-api-solution", "kernel_id": "92850622"}, {"ref": "kimasplund/mitsui-hybrid-submission", "kernel_id": "92850689"}, {"ref": "sujoysamaddar/notebookdc3af141bd", "kernel_id": "93071718"}, {"ref": "cmirani/simple-no-leak-model-full-pipeline", "kernel_id": "93361134"}, {"ref": "cmirani/complete-pipeline-train-test-and-submit-no-leak", "kernel_id": "93180385"}, {"ref": "harpreethp/notebookc824f38eb0", "kernel_id": "93351436"}, {"ref": "williamhuybui/exploring-without-reading", "kernel_id": "93021916"}, {"ref": "yuanzhezhou/mitsui-co-baseline-train-infer", "kernel_id": "93204359"}, {"ref": "takeshimorimura/mitsui-exp300-train", "kernel_id": "93923874"}, {"ref": "yihanguo/mitsui-co-lightgbm-no-leak", "kernel_id": "93797494"}, {"ref": "xxxxyyyy80008/20251003-commodity-prediction", "kernel_id": "93639392"}, {"ref": "den3120/mitsui-fast-inference", "kernel_id": "93132855"}, {"ref": "ankitsharma224589/mitsui-co-commodity-prediction-challenge", "kernel_id": "93557144"}, {"ref": "abdulahadshaik/mitsui-commodity-prediction-challenge-5a", "kernel_id": "93580045"}, {"ref": "samoilovmikhail/lightgbm-optuna-mitsui-co-pipeline", "kernel_id": "93382530"}, {"ref": "christoslazaridis/mitsui-commodity-chall-submission-all", "kernel_id": "93040664"}, {"ref": "meetbabariya/baseline-mitsui", "kernel_id": "93813275"}, {"ref": "ishitabahamnia/notebook6c28963daf", "kernel_id": "93884895"}, {"ref": "marcussctse/rf-mitsui-commodity-prediction-challenge", "kernel_id": "93932453"}, {"ref": "richardruiqili/mitsui-lstm-oct-1", "kernel_id": "93621777"}, {"ref": "richardruiqili/mitsui-varmax", "kernel_id": "93635296"}, {"ref": "valarmorghulis30/mitsui-notebook", "kernel_id": "93942854"}, {"ref": "luckybestie/future-forecast-lightgbm", "kernel_id": "93244703"}, {"ref": "sg0104/prediction-1", "kernel_id": "93037862"}, {"ref": "hmnshudhmn24/mitsui-commodity-prediction", "kernel_id": "93493310"}, {"ref": "cchu25/mitsui-co-commodity-prediction-multi-strategy-pre", "kernel_id": "93808411"}, {"ref": "gauraw1/1mitsui-competition", "kernel_id": "93001866"}, {"ref": "cobalt77/commodity-single-instrumet-return-predict-dbe214", "kernel_id": "93098322"}, {"ref": "dtmanager1979/two-stage-meta-learning-complete", "kernel_id": "94144149"}, {"ref": "lonnieqin/mitsui-commodity-prediction-with-dnn", "kernel_id": "94129857"}, {"ref": "lonnieqin/mitsui-co-commodity-prediction-15th-place", "kernel_id": "94103210"}, {"ref": "takeshimorimura/mitsui-lightgbm-cv0-304", "kernel_id": "94768333"}, {"ref": "takeshimorimura/mitsui-exp300-sub-mod", "kernel_id": "94178992"}, {"ref": "helmirinaldi/copyrightmodel", "kernel_id": "94051579"}, {"ref": "halilaka/25th-place-silver-mitsui-co-commodity-predictio", "kernel_id": "94023559"}, {"ref": "alwanna/the-art-of-ensemble-nl3", "kernel_id": "94086320"}, {"ref": "darcy59/mitsuico-single-lag-pair-group-lag-extratree", "kernel_id": "94060244"}, {"ref": "darcy59/mitsuico-single-lag-pair-group-lag", "kernel_id": "94171935"}, {"ref": "anuragyadav156/from-scratch", "kernel_id": "94002005"}, {"ref": "lixingshao/predict", "kernel_id": "94091045"}, {"ref": "patrutledge/mitsui-daily-to-intraday-public", "kernel_id": "94392979"}, {"ref": "patrutledge/mitsui-lag-analysis", "kernel_id": "94407164"}, {"ref": "xiaofenghe0987/kaggle-mitsui-workflow", "kernel_id": "94206009"}, {"ref": "nickrobertz/naive-signal-based-forecasting-of-us-stock-prices", "kernel_id": "96789015"}, {"ref": "vinitkp/r-commodityprediction", "kernel_id": "105527011"}, {"ref": "shaun4761/commodity-prediction", "kernel_id": "109298104"}, {"ref": "sasakitetsuya/trial-of-sharpe-optimization-with-composite-score", "kernel_id": "112831451"}, {"ref": "richardqin404/learn-from-the-3rd-solution", "kernel_id": "112828000"}, {"ref": "poidenkoartem/higuchi-fractal-dimension", "kernel_id": "115556199"}, {"ref": "poidenkoartem/eda-fractal-v1", "kernel_id": "115554841"}, {"ref": "zhangwenfu/mitsui-commodity-prediction-challenge", "kernel_id": "116402232"}, {"ref": "aifortune/finace-analysis", "kernel_id": "122987132"}]}
{"competition_id": "94795", "kernels": []}
{"competition_id": "94797", "kernels": []}
{"competition_id": "94806", "kernels": []}
{"competition_id": "94828", "kernels": []}
{"competition_id": "94832", "kernels": [{"ref": "abukha/classifying-dates", "kernel_id": "77863975"}, {"ref": "zarahshibli/date-fruit-classification-transformer", "kernel_id": "77870911"}, {"ref": "mohamedelrifai/date-fruit-classifcation-notebook-score-73", "kernel_id": "77968424"}, {"ref": "mohammad2012191/dates-classification-starter-notebook", "kernel_id": "77865819"}, {"ref": "doaakhorsheed/dal-s-competition-duaa-khorsheed", "kernel_id": "77879811"}, {"ref": "bestwater/autogluon-baseline-open-data-day-2025", "kernel_id": "77933739"}, {"ref": "bushradajam/dates-classification", "kernel_id": "77904582"}, {"ref": "lamaju/dates-types", "kernel_id": "77839296"}, {"ref": "dearrahaf/dates-pred", "kernel_id": "77874357"}, {"ref": "sultanolawale/dateclass", "kernel_id": "78383228"}, {"ref": "jalalalsowat/vit-is-all-you-need", "kernel_id": "78204628"}, {"ref": "asmaafarea/dates-classification-dal", "kernel_id": "78112915"}, {"ref": "safakhan20/notebookf6d5cbfbca", "kernel_id": "78294045"}, {"ref": "raghadraghad/date-classification", "kernel_id": "78074487"}, {"ref": "shaimafalotaibi/competitions-dates-sh", "kernel_id": "78073155"}, {"ref": "br8hem/p-date", "kernel_id": "78018165"}, {"ref": "aryamalshabi/dal-challenge", "kernel_id": "78149269"}, {"ref": "muhannadalmuntashiri/dates-classification", "kernel_id": "78195367"}, {"ref": "saraabduljabbar/tamrlens-competition", "kernel_id": "78061582"}, {"ref": "hwkims/notebookf7443d91cd", "kernel_id": "78007135"}, {"ref": "dharialammer/ml-dl-by-dhari", "kernel_id": "78102743"}, {"ref": "nasseralkuhili1/dal-vit-model", "kernel_id": "78584043"}, {"ref": "hannah52818/version-51-open-data-day-2025-dates-types", "kernel_id": "103868642"}, {"ref": "violetdynamo/open-data-day-2025-dates-types-classification", "kernel_id": "103637337"}]}
{"competition_id": "94834", "kernels": [{"ref": "jeffheaton/basic-pytorch-model", "kernel_id": "77946623"}, {"ref": "jeffheaton/basic-xgboost-model", "kernel_id": "77767828"}]}
{"competition_id": "94838", "kernels": [{"ref": "tojoh15/assignment-neural-networks-regularization", "kernel_id": "77734340"}, {"ref": "thorminator/building-upon-the-model-from-assingment-2-49", "kernel_id": "78649159"}, {"ref": "thorminator/ensemble-53", "kernel_id": "78747576"}]}
{"competition_id": "94849", "kernels": [{"ref": "garlapatisaivarun/data-guild-with-ann-0-98", "kernel_id": "77873870"}, {"ref": "ibrahimkhalil09/data-guild-practical-ai-session-1", "kernel_id": "77753362"}, {"ref": "mazhar004/productive-office-day", "kernel_id": "78610277"}, {"ref": "tasmiazerin1128/will-you-be-productive-today", "kernel_id": "80740724"}]}
{"competition_id": "94854", "kernels": []}
{"competition_id": "94855", "kernels": [{"ref": "zequanbear/scdnam-binary-mlp-private-lb-0-93100-5", "kernel_id": "80549040"}]}
{"competition_id": "94857", "kernels": []}
{"competition_id": "94868", "kernels": []}
{"competition_id": "94910", "kernels": [{"ref": "jppaul3/notebookc4324e10fd", "kernel_id": "78607864"}]}
{"competition_id": "94939", "kernels": []}
{"competition_id": "94942", "kernels": [{"ref": "allenlu112220/birth-weight-prediction-using-machine-learning", "kernel_id": "79065065"}]}
{"competition_id": "94951", "kernels": [{"ref": "burakkaya22/gender-prediction-0-85714", "kernel_id": "78036887"}]}
{"competition_id": "94957", "kernels": []}
{"competition_id": "95017", "kernels": []}
{"competition_id": "95019", "kernels": [{"ref": "farukaydn/synthetic-to-real-object-detection-yolov8", "kernel_id": "78435830"}, {"ref": "ilhammalik11/str-cherios-object-detection", "kernel_id": "79328760"}, {"ref": "nadiatriki/cheerios-object-detection", "kernel_id": "79086642"}, {"ref": "radwankhondokar/synthetic-to-real-object-detection-96-08", "kernel_id": "79462634"}, {"ref": "adl212/final-synthetic-to-real-inference", "kernel_id": "80480050"}, {"ref": "mohanapavanbezawada/bridging-synthetic-to-real-with-precisiondetection", "kernel_id": "80233865"}, {"ref": "theolee72/fasterrcnn-resnet50-fpn-normal", "kernel_id": "82927363"}, {"ref": "theolee72/synthetic-object-detection", "kernel_id": "82241761"}, {"ref": "monikamandavilli/notebook98be56c78a", "kernel_id": "114571924"}, {"ref": "ujwalamavireddy/final-ujwala", "kernel_id": "114766542"}, {"ref": "antonoof/ad-autodetect-model-x", "kernel_id": "115457888"}, {"ref": "nithinkommireddy/notebook4651a76640-a0d615", "kernel_id": "115139976"}, {"ref": "sarvagnasudulagunta/synthetic-to-real-object-detection-sarvagna", "kernel_id": "115004631"}, {"ref": "deekshithanalabothu/object-detection-2", "kernel_id": "115250461"}]}
{"competition_id": "95032", "kernels": []}
{"competition_id": "95037", "kernels": [{"ref": "vedanthumbe/binarypredicitionsmokerstatus", "kernel_id": "89538627"}]}
{"competition_id": "95047", "kernels": [{"ref": "hisukim/wine-quality-prediction", "kernel_id": "83449258"}]}
{"competition_id": "95048", "kernels": []}
{"competition_id": "95062", "kernels": []}
{"competition_id": "95066", "kernels": [{"ref": "arnoldzumbrun/stem-task-1", "kernel_id": "77965619"}]}
{"competition_id": "95075", "kernels": [{"ref": "arnoldzumbrun/stem-task-2", "kernel_id": "77968207"}]}
{"competition_id": "95099", "kernels": []}
{"competition_id": "95141", "kernels": []}
{"competition_id": "95144", "kernels": [{"ref": "thienanlnguyen/data-generation-scoring-sample-code", "kernel_id": "78047578"}, {"ref": "amiteen/notebook7a757f04bc", "kernel_id": "78160567"}, {"ref": "amiteen/page-rank-n-head-points-strategy", "kernel_id": "78160251"}, {"ref": "amiteen/page-rank-n-tail-points-strategy", "kernel_id": "78160131"}, {"ref": "amiteen/mds-visualization", "kernel_id": "78084866"}, {"ref": "amiteen/mds-visualization-without-noise", "kernel_id": "78213459"}]}
{"competition_id": "95194", "kernels": []}
{"competition_id": "95212", "kernels": []}
{"competition_id": "95213", "kernels": []}
{"competition_id": "95282", "kernels": [{"ref": "seshurajup/golf-tasks-2-arc-agi", "kernel_id": "88357453"}, {"ref": "seshurajup/code-golf-ensemble-local-score-391-400-dsl", "kernel_id": "88375081"}, {"ref": "seshurajup/to-focus-public-task-shared-score-lb-960-847-400", "kernel_id": "88841336"}, {"ref": "jacekwl/a-bit-of-code-golf", "kernel_id": "88496167"}, {"ref": "jacekwl/a-bit-more-of-code-golf-255-400-visualization", "kernel_id": "88568208"}, {"ref": "jazivxt/oh-barnacles", "kernel_id": "88340871"}, {"ref": "jazivxt/seeking-alpha", "kernel_id": "88605885"}, {"ref": "jazivxt/dropping-a-new-ball-in-code-golf", "kernel_id": "88853364"}, {"ref": "mpwolke/golf-arc-my-code-s-fu", "kernel_id": "88348680"}, {"ref": "dedquoc/neurips-2025-gcgc-analytic", "kernel_id": "88568961"}, {"ref": "katsuyanomura/simpletasksolved", "kernel_id": "88807317"}, {"ref": "bibanh/the-scoring-system-has-been-hacked-easily", "kernel_id": "88903660"}, {"ref": "bibanh/get-started-step-by-step-toolkit-for-newcomers", "kernel_id": "88458345"}, {"ref": "bibanh/qwen2-5-32b-arc-local-score", "kernel_id": "88395692"}, {"ref": "bibanh/practice-manually", "kernel_id": "88396725"}, {"ref": "boristown/lb47268-neurips-2025-google-code-golf", "kernel_id": "88364124"}, {"ref": "zshashz/google-code-golf-arc-solver-viz-lb", "kernel_id": "88368462"}, {"ref": "kosirowada/arc-agi-manual-solver-playground", "kernel_id": "88446610"}, {"ref": "limalkasadith/gcg-solutions-to-hard-tasks-48-363", "kernel_id": "88557671"}, {"ref": "quannguyn12/solved-57-task", "kernel_id": "88522137"}, {"ref": "jaejohn/colorblind-friendly-visualization", "kernel_id": "88582823"}, {"ref": "jeroencottaar/code-golf-simplified", "kernel_id": "88468158"}, {"ref": "daosyduyminh/solved-127-problems-local-pleaseupvote", "kernel_id": "88466011"}, {"ref": "muhammaddanyalmalik/qwen2-5-32b-score", "kernel_id": "88969688"}, {"ref": "muhammaddanyalmalik/let-s-see-dude-190-think", "kernel_id": "88970487"}, {"ref": "krishnayadav456wrsty/arc-agi-code-golf-solutions", "kernel_id": "88988377"}, {"ref": "adilshamim8/google-code-golf-championship-101", "kernel_id": "88483486"}, {"ref": "shevtsovapolina/8sr-25", "kernel_id": "88841532"}, {"ref": "ottitsch/code-golf-simplified", "kernel_id": "88470995"}, {"ref": "mmoffitt/neurips-2025-google-code-golf-championship", "kernel_id": "88076117"}, {"ref": "fedimser/arc-agi-code-golf-216-400-solved", "kernel_id": "89020364"}, {"ref": "katsuyanomura/did-you-check-the-width-and-height-of-each-task", "kernel_id": "89020235"}, {"ref": "smartmanoj/arc-agi-gcg", "kernel_id": "89173492"}, {"ref": "isakatsuyoshi/resolved-past-vulnerabilities", "kernel_id": "89510710"}, {"ref": "kuntalmaity/neurips-2025-arc-agi-code-golf-solutions", "kernel_id": "89641188"}, {"ref": "vet231199/being-perfect-is-not-easy-pitfalls-of-code-golf", "kernel_id": "89113409"}, {"ref": "cchrisaa/notebookdf9d76925c", "kernel_id": "89922260"}, {"ref": "kiyotaka1102/miniproject", "kernel_id": "89047158"}, {"ref": "muhammaddanyalmalik/simple-ways", "kernel_id": "89035001"}, {"ref": "muhammaddanyalmalik/optimize-more-and-get-391-400", "kernel_id": "89825120"}, {"ref": "makotoyuk1/neurips-2025-google-code-golf-championship", "kernel_id": "89588105"}, {"ref": "cheeseexports/big-zippa", "kernel_id": "89473553"}, {"ref": "lucvan68/optimize-391-400-dsl", "kernel_id": "89543995"}, {"ref": "lucvan68/optimize-result-v1", "kernel_id": "89542733"}, {"ref": "suman2208/oh-barnacles", "kernel_id": "90242212"}, {"ref": "muhammaddanyalmalik/solution-make-easier-ever", "kernel_id": "90005773"}, {"ref": "muhammaddanyalmalik/solution-new-way", "kernel_id": "90359195"}, {"ref": "muhammaddanyalmalik/olution-0d8fdd-improve", "kernel_id": "90926317"}, {"ref": "farukece/from-data-to-meaning-visualizing-complexity", "kernel_id": "90023821"}, {"ref": "mbilichenko/road-to-400-collaboration", "kernel_id": "91886991"}, {"ref": "markvoi/google-golf-code-98-solved-problems", "kernel_id": "91825078"}, {"ref": "kdmitrie/example-problem-1", "kernel_id": "91483140"}, {"ref": "garrymoss/compressed-variable-name-optimization", "kernel_id": "91527082"}, {"ref": "garrymoss/golfed-solutions-and-explanations-to-hard-problems", "kernel_id": "91506692"}, {"ref": "muhammaddanyalmalik/dani-anders-collob", "kernel_id": "91962924"}, {"ref": "tonylica/400-task-with-smart-solution-search", "kernel_id": "91875179"}, {"ref": "mbilichenko/golf-code-optimization-trials", "kernel_id": "92751402"}, {"ref": "mcwema/neuroips-4-of-some-lessons-learned", "kernel_id": "92502113"}, {"ref": "garrymoss/compilation-of-winning-solutions", "kernel_id": "92523208"}, {"ref": "boristown/agi-chinese-hints-for-all-400-tasks", "kernel_id": "92510281"}, {"ref": "antonoof/manual-modification-golf", "kernel_id": "92754693"}, {"ref": "elnazalikarami/arc-codegolf-starter", "kernel_id": "92293128"}, {"ref": "vladislavlassa/python-minifier-applied", "kernel_id": "92055441"}, {"ref": "kerta27/solutions-for-all-400-tasks-ensemble", "kernel_id": "92468429"}, {"ref": "kerta27/gcgc-merge-solutions", "kernel_id": "92341943"}, {"ref": "msohaibsiddiqui/neurips-2025-submission-files-output", "kernel_id": "92149666"}, {"ref": "msohaibsiddiqui/testing-code-for-nuerips-google-championship", "kernel_id": "92135663"}, {"ref": "kenkrige/chipping-skills-1-flip-and-zip", "kernel_id": "93584435"}, {"ref": "kenkrige/chipping-skills-2-pattern-copy", "kernel_id": "93659135"}, {"ref": "kenkrige/chipping-skills-3-regex", "kernel_id": "93912591"}, {"ref": "lightonkalumba/source-code-for-all-400-solutions-arc", "kernel_id": "93092193"}, {"ref": "gothamjocker/source-code-400-with-vis-and-zip", "kernel_id": "93412133"}, {"ref": "jeffborschowa/neurips-2025", "kernel_id": "93635323"}, {"ref": "cnumber/arc-agi-2025-visualization-all-1000-120-tasks", "kernel_id": "94862308"}, {"ref": "massimilianoghiotto/problem-154-what-i-learn-so-far", "kernel_id": "94475918"}, {"ref": "krishnayadav456wrsty/neurl-arc-win", "kernel_id": "94231201"}, {"ref": "gothamjocker/k-on-first-round-1-60-task-collection", "kernel_id": "94881112"}, {"ref": "gothamjocker/from-short-to-long-using-ai-approach-better", "kernel_id": "94857595"}, {"ref": "gothamjocker/gcgc-playground-v4", "kernel_id": "94761698"}, {"ref": "gothamjocker/gcgc-playground-v3", "kernel_id": "94706730"}, {"ref": "gothamjocker/source-code-400-with-vis-and-zip-v2", "kernel_id": "94023832"}, {"ref": "gothamjocker/gcgc-playground-v2", "kernel_id": "94367896"}, {"ref": "tonylica/community-baselines-my-arc-10-pack-2-10", "kernel_id": "94253742"}, {"ref": "tonylica/community-baselines-my-arc-10-pack-1-10", "kernel_id": "94180429"}, {"ref": "tonylica/google-code-golf-community-best", "kernel_id": "94481917"}, {"ref": "tonylica/task-285-missinglegs-playground", "kernel_id": "94631157"}, {"ref": "tonylica/community-baselines-my-arc-10-pack-6-10", "kernel_id": "94849190"}, {"ref": "tonylica/community-baselines-my-arc-10-pack-5-10", "kernel_id": "94931618"}, {"ref": "tonylica/community-baselines-my-arc-10-pack-4-10", "kernel_id": "94838698"}, {"ref": "mohammadjafarzamani/arc-code-golf-solver-v1-systematic-approach", "kernel_id": "94817184"}, {"ref": "hellopir2/task000-soln", "kernel_id": "94179962"}, {"ref": "aadinaththakur/notebook001678e3ee", "kernel_id": "94802522"}, {"ref": "michaelgtafan/notebook76ccc4903f", "kernel_id": "94744808"}, {"ref": "mbilichenko/simplification-is-key", "kernel_id": "95281845"}, {"ref": "mcwema/r30-neurips-golf-lessons-learned", "kernel_id": "95783649"}, {"ref": "denden12/golf-compress-all", "kernel_id": "95504752"}, {"ref": "jazivxt/dead-code", "kernel_id": "95571369"}, {"ref": "kirderf/neurips-2025-community-baselines-improvements", "kernel_id": "95250106"}, {"ref": "paritoshtripathi5/public-task-33-down-to-89-bytes", "kernel_id": "95575423"}, {"ref": "thunderthunder/20251016", "kernel_id": "95215957"}, {"ref": "snnguynvnk19hl/baselines", "kernel_id": "95472658"}, {"ref": "snnguynvnk19hl/pipeline-update-task7-143-107", "kernel_id": "95889903"}, {"ref": "snnguynvnk19hl/pipeline-new-way-for-task31-126-51", "kernel_id": "95984694"}, {"ref": "tonylica/google-code-golf-new-community-best", "kernel_id": "95665487"}, {"ref": "tonylica/community-baselines-9-10", "kernel_id": "95521400"}, {"ref": "tonylica/all-top-combined-962443", "kernel_id": "95391577"}, {"ref": "tonylica/community-baselines-7-10-1000-point-911k", "kernel_id": "95298209"}, {"ref": "parmarrameshbhai/google-code-gulf", "kernel_id": "95471504"}, {"ref": "samerattrah/arc-gpu-keras-gemma-ipynb", "kernel_id": "96562840"}, {"ref": "paritoshtripathi5/public-task-398-down-to-84-bytes", "kernel_id": "96071131"}, {"ref": "cchrisaa/notebook0c881a12a7", "kernel_id": "96565761"}, {"ref": "massimilianoghiotto/problem-95-rotation-trick", "kernel_id": "96971508"}, {"ref": "muhammaddanyalmalik/zip-compress-encode", "kernel_id": "96851359"}, {"ref": "muhammaddanyalmalik/new-updated-way", "kernel_id": "96842841"}, {"ref": "snnguynvnk19hl/pipeline-update-task115", "kernel_id": "96101898"}, {"ref": "snnguynvnk19hl/pipeline-for-task88-298-198", "kernel_id": "96211005"}, {"ref": "pepushi/r30-neurips-golf-lessons-learned", "kernel_id": "96181451"}, {"ref": "vietngogm/pipeline-update-task-extension-912736", "kernel_id": "96254333"}, {"ref": "vietngogm/google-code-golf-full-400-solutions-normalize", "kernel_id": "96217105"}, {"ref": "tdldld/neurips-2025-google-code-golf-championship", "kernel_id": "96471237"}, {"ref": "keymoon/compression-code-golf", "kernel_id": "97659729"}, {"ref": "jazivxt/system-control-pannel", "kernel_id": "97511144"}, {"ref": "woosungyoon/solution-compare-visualizer", "kernel_id": "97326727"}, {"ref": "woosungyoon/question-visualizer", "kernel_id": "97312171"}, {"ref": "henrychibueze/all-my-400-task-solutions", "kernel_id": "97406250"}, {"ref": "chimaki821/step-by-step-regex-practice", "kernel_id": "97401645"}, {"ref": "cchrisaa/notebook92723f3fdf", "kernel_id": "97342699"}, {"ref": "massimilianoghiotto/problem-243-fidget-spinner-trick", "kernel_id": "97376752"}, {"ref": "bariarituratibhai/google-code-golf-championship-update-2025", "kernel_id": "97293850"}, {"ref": "tonylica/google-code-golf-78-trick-all-time-high-963360", "kernel_id": "97486448"}, {"ref": "valarmorghulis30/neurips-2025", "kernel_id": "97228909"}, {"ref": "garrymoss/post-comp-zipped-files", "kernel_id": "101160587"}, {"ref": "isakatsuyoshi/gpt-5-1-high-of-unofficial-code-golf-benchmark", "kernel_id": "102217970"}, {"ref": "isakatsuyoshi/gpt-5-1-of-unofficial-code-golf-benchmark", "kernel_id": "102215827"}, {"ref": "isakatsuyoshi/gemini-3-of-unofficial-code-golf-benchmark", "kernel_id": "102222820"}, {"ref": "isakatsuyoshi/unofficial-code-golf-benchmark", "kernel_id": "102128603"}, {"ref": "isakatsuyoshi/opus-4-5-of-unofficial-code-golf-benchmark", "kernel_id": "102428353"}, {"ref": "isakatsuyoshi/llm-api-openai-google-antropic-xai", "kernel_id": "103142689"}, {"ref": "isakatsuyoshi/gemini-3-flash-of-unofficial-code-golf-bench", "kernel_id": "104817961"}, {"ref": "isakatsuyoshi/gpt-5-2-of-unofficial-code-golf-benchmark", "kernel_id": "104195753"}, {"ref": "isakatsuyoshi/gpt-5-2-pro-of-unofficial-code-golf-benchmark", "kernel_id": "104199542"}, {"ref": "isakatsuyoshi/gpt-5-2-high-of-unofficial-code-golf-benc", "kernel_id": "104199449"}, {"ref": "namnguynnnn/neurips-2025-google-code-golf", "kernel_id": "112504519"}]}
{"competition_id": "95288", "kernels": []}
{"competition_id": "95289", "kernels": []}
{"competition_id": "95290", "kernels": [{"ref": "ragib310/bdaio2024-ace-the-grades", "kernel_id": "78379142"}, {"ref": "saziii/bdaio2024-ace-the-grades", "kernel_id": "82735300"}]}
{"competition_id": "95291", "kernels": [{"ref": "ragib310/bdaio2024-the-clothing-sale", "kernel_id": "78238237"}]}
{"competition_id": "95295", "kernels": [{"ref": "hengzheng/baseline-for-xiaomei-pl-version", "kernel_id": "78626227"}, {"ref": "hengzheng/baseline-for-xiaomei", "kernel_id": "78230474"}, {"ref": "takanashihumbert/eda-for-xiaomei-with-xgboost-time-series-cv", "kernel_id": "78153282"}, {"ref": "dc5e964768ef56302a32/4-catboost-regression", "kernel_id": "78313187"}, {"ref": "dc5e964768ef56302a32/3-ce-shi-cv-lb-gap", "kernel_id": "78282715"}, {"ref": "dc5e964768ef56302a32/2-jian-li-xian-xia-yan-zheng-ji", "kernel_id": "78181792"}, {"ref": "dc5e964768ef56302a32/0-baseline-rule", "kernel_id": "78101837"}, {"ref": "dc5e964768ef56302a32/1-huo-qu-xian-shang-fen-bu", "kernel_id": "78126667"}, {"ref": "dc5e964768ef56302a32/5-catboost-classifier", "kernel_id": "78352690"}, {"ref": "dc5e964768ef56302a32/6-catboost-binclassify", "kernel_id": "78358219"}, {"ref": "linjianhang/user-s-daily-label-compute", "kernel_id": "78479677"}, {"ref": "yunsuxiaozi/urp-yunbase", "kernel_id": "78117926"}, {"ref": "peilwang/tabm-upr-start-notebook", "kernel_id": "78189593"}, {"ref": "peilwang/lgb-upr-start-notebook", "kernel_id": "78161636"}, {"ref": "linjianhang/timeseries-is-about-the-lines", "kernel_id": "79134171"}, {"ref": "pysongwang/data-prepare", "kernel_id": "79988535"}, {"ref": "aichangeworld/user-retention-preds-analyze", "kernel_id": "80696271"}, {"ref": "aichangeworld/user-retention-prediction-lgb-interfence", "kernel_id": "80752108"}, {"ref": "aichangeworld/user-retention-prediction-create-data", "kernel_id": "80078650"}, {"ref": "bestwater/v17-of-autogluon-timeser-user-retention", "kernel_id": "81036675"}, {"ref": "larrylin666/tabm-upr-start-notebook", "kernel_id": "81368205"}, {"ref": "larrylin666/rounding-ensemble-user-retention", "kernel_id": "81477021"}, {"ref": "larrylin666/save-the-data", "kernel_id": "81668867"}, {"ref": "aichangeworld/user-retention-prediction-cat-interfence", "kernel_id": "81434013"}, {"ref": "aichangeworld/user-retention-prediction-tabm-interfence", "kernel_id": "81579695"}, {"ref": "pysongwang/ctb-xgb-base4", "kernel_id": "82225062"}, {"ref": "larrylin666/67-save-the-data", "kernel_id": "82083652"}, {"ref": "larrylin666/0-weight-normal-lgb-67-iter-500-max-depth-7", "kernel_id": "82084008"}]}
{"competition_id": "95308", "kernels": []}
{"competition_id": "95313", "kernels": [{"ref": "arnoldzumbrun/stem-task-3", "kernel_id": "78124982"}]}
{"competition_id": "95317", "kernels": []}
{"competition_id": "95318", "kernels": []}
{"competition_id": "95401", "kernels": [{"ref": "mmontiel/toy-example", "kernel_id": "78380859"}, {"ref": "luisballardo/fruit-classification", "kernel_id": "79396055"}, {"ref": "pathanajahar/ajahar", "kernel_id": "91075274"}, {"ref": "sajnashoukath/fruit-classify-pro1", "kernel_id": "103019370"}, {"ref": "ravillan/tp2-ic-fruits", "kernel_id": "106240033"}]}
{"competition_id": "95414", "kernels": []}
{"competition_id": "95423", "kernels": []}
{"competition_id": "95426", "kernels": [{"ref": "aifahim/baseline-notebook", "kernel_id": "78238164"}, {"ref": "raselmeya/eda-and-preprocessing-bangla-sentiment-data", "kernel_id": "78251236"}, {"ref": "samiul2172/bangla-sa-rf-nn-competition", "kernel_id": "78767434"}, {"ref": "samiul2172/bangla-sa-competition", "kernel_id": "78770248"}, {"ref": "sayedul45/aiquest-competition", "kernel_id": "78560231"}, {"ref": "tasdidhasnat/bangla-multiclass-sentiment-analysis-bert", "kernel_id": "78292911"}, {"ref": "mrinmoykarmoker/bangla-text-sentiment-using-nlp", "kernel_id": "78303354"}, {"ref": "sumelahmad/sentiment-analysis-comparison-of-lr-svm-rf-gb", "kernel_id": "78258329"}, {"ref": "fahimsarker/sentiment-analysis", "kernel_id": "79081123"}, {"ref": "mdfardinkhan/bangla-sentiment-analysis", "kernel_id": "79490886"}, {"ref": "himelsarder/bangla-sentiment-analysis-competition-1-0", "kernel_id": "79190274"}, {"ref": "minhaz07/aiquest-bangla-sentiment-analysis", "kernel_id": "79224266"}, {"ref": "shbhro/4-aiquest-bangla-sentiment-analysis-competition", "kernel_id": "79222055"}, {"ref": "madlad10/ensemble", "kernel_id": "80917217"}, {"ref": "raselsarker/sentiment-analysis-on-bangla-text-with-ml-dl-99", "kernel_id": "80397138"}, {"ref": "romanahmed2024/bangla-sentiment-analysis-v54", "kernel_id": "80849893"}, {"ref": "romanahmed2024/bangla-sentiment-analysis-v50", "kernel_id": "80780548"}, {"ref": "safaruzzamanshovo/bangla-sentiment-analysis-competition-1-0", "kernel_id": "81225655"}, {"ref": "ruhul20/bangla-sentiment-analysis", "kernel_id": "81127719"}, {"ref": "roy210005/aiquest-bangla-sentiment-analysis-competition-v01", "kernel_id": "81843617"}, {"ref": "shahariashadidshams/bangla-sentiment-analysis-l1", "kernel_id": "83447919"}]}
{"competition_id": "95438", "kernels": []}
{"competition_id": "95440", "kernels": []}
{"competition_id": "95448", "kernels": []}
{"competition_id": "95461", "kernels": [{"ref": "trongkhang/bank-churn-competition", "kernel_id": "85109368"}, {"ref": "dimat2004/bank-churn-competition", "kernel_id": "87875753"}, {"ref": "sevaersh/catboost", "kernel_id": "87993407"}, {"ref": "sitnikekaterina/bank-churn-competition-eda", "kernel_id": "87782362"}, {"ref": "maximbushmakov/mts-test", "kernel_id": "88565699"}, {"ref": "denisvysotsky/solution-1-mts-vysotsky-catboost-optuna", "kernel_id": "88606831"}, {"ref": "sashastation/hsexmts-private-score-0-93275-eda-bonus", "kernel_id": "88398967"}, {"ref": "sashaleokhina/bank-churn-competition-by-ipii-hsexmts", "kernel_id": "88610502"}, {"ref": "khayrislamovtimur/notebook6a4b08ab1a", "kernel_id": "88587364"}, {"ref": "easotnichenko/mts-bank", "kernel_id": "88571187"}, {"ref": "alinagavrilova/bank-churn-competition-by-ipii-hse", "kernel_id": "88586192"}, {"ref": "gorelskiiroman/ensemble-nn-stacker-gorelskii-nechaeva", "kernel_id": "88578414"}, {"ref": "vsevolodsemenov/mts-semenov-vsevolod-stack", "kernel_id": "88606361"}, {"ref": "artyomaldarov/bank-churn-mtsxhse", "kernel_id": "88607616"}, {"ref": "vikkivort/bank-churn-ipii-competition-top-23-private-score", "kernel_id": "88471030"}, {"ref": "turakut/mts-bank-churn-catboost", "kernel_id": "88516192"}, {"ref": "canonica1/top-3-private-score-0-93267", "kernel_id": "88387906"}, {"ref": "vladimirsmirnovve/bank-churn-competition-by-ipii-hsexmts-top-17", "kernel_id": "88390614"}, {"ref": "aleksandrfida/bank-churn-catboost-with-custom-feature-engineer", "kernel_id": "88595963"}, {"ref": "trnhuytun/churn-prediction-2", "kernel_id": "92325839"}]}
{"competition_id": "95463", "kernels": []}
{"competition_id": "95472", "kernels": []}
{"competition_id": "95474", "kernels": []}
{"competition_id": "95483", "kernels": []}
{"competition_id": "95486", "kernels": [{"ref": "irisewang/tacg-prediction", "kernel_id": "78279506"}]}
{"competition_id": "95488", "kernels": []}
{"competition_id": "95489", "kernels": []}
{"competition_id": "95494", "kernels": []}
{"competition_id": "95496", "kernels": []}
{"competition_id": "95497", "kernels": []}
{"competition_id": "95504", "kernels": [{"ref": "mec7037/mnist", "kernel_id": "79694643"}, {"ref": "ltrun1/cifar-10", "kernel_id": "79964347"}]}
{"competition_id": "95513", "kernels": [{"ref": "yunwoooh/notebook786ed61315", "kernel_id": "78416013"}, {"ref": "jinusun/stock-xgboost", "kernel_id": "82020626"}]}
{"competition_id": "95518", "kernels": []}
{"competition_id": "95521", "kernels": []}
{"competition_id": "95555", "kernels": [{"ref": "viniciusflores/vinicius-flores", "kernel_id": "78754051"}, {"ref": "profmanoela/kdd-cup", "kernel_id": "78323358"}, {"ref": "raphaelcura/raphael-cura-input-1", "kernel_id": "78323243"}, {"ref": "viniciusnobresantos/vin-cius-nobre", "kernel_id": "78408693"}, {"ref": "lmlopes/intrusao-lml", "kernel_id": "79126720"}]}
{"competition_id": "95697", "kernels": [{"ref": "alin256/nll-for-1d-geology-metric-v5", "kernel_id": "78806947"}, {"ref": "alexkalita/nn-mlp", "kernel_id": "78901528"}, {"ref": "claurin1/knn-submission-notebook-not-ready-for-review", "kernel_id": "79530456"}, {"ref": "act18l/single-model-for-geology-forecast-challenge", "kernel_id": "79591444"}, {"ref": "act18l/ensemble-for-geology-forecast-challenge", "kernel_id": "79422996"}, {"ref": "act18l/generate-dataset", "kernel_id": "79428338"}, {"ref": "act18l/average-trick", "kernel_id": "79284528"}, {"ref": "olasdsd/keras-geology-forecast-competition-58-4", "kernel_id": "79373933"}, {"ref": "olasdsd/geology-12-40534-private-lb", "kernel_id": "79834997"}, {"ref": "qmarva/lstm-kfold", "kernel_id": "79579131"}, {"ref": "kshitij9pandey/geology-forecast", "kernel_id": "79141692"}, {"ref": "nikitashevyrev/geologyforecast-final-version-2nd-in-private", "kernel_id": "79156939"}, {"ref": "lucasbruzzone/keep-it-simple", "kernel_id": "80352825"}, {"ref": "varunraosfanlkan/firstnotebook", "kernel_id": "80767853"}, {"ref": "nikitamanaenkov/geology-forecast-stacking-regressor", "kernel_id": "80743504"}, {"ref": "nikitamanaenkov/geology-forecast-geonet-pytorch", "kernel_id": "80743709"}, {"ref": "nikitamanaenkov/geology-forecast-random-forest", "kernel_id": "80226114"}, {"ref": "nikitamanaenkov/geology-forecast-xgboost", "kernel_id": "80281570"}, {"ref": "jeseacor/z-depth-predictor-using-knn", "kernel_id": "80909635"}, {"ref": "olasdsd/5th-place-solution", "kernel_id": "81279978"}, {"ref": "nikitamanaenkov/geology-forecast-challenge-features", "kernel_id": "81038655"}, {"ref": "quentinadatte1307/mlp-vs-lstm-vs-transformer-geochallenge2025", "kernel_id": "82830693"}, {"ref": "abdulkareemomer/geology-forecast-challange", "kernel_id": "82892761"}, {"ref": "kindasomethin/geology-forecast-challenge-submission", "kernel_id": "82959783"}, {"ref": "mdaliazad/geology-forecast-challenge-using-transformer-model", "kernel_id": "83904625"}, {"ref": "okanzkaya/checking-the-data-leakage", "kernel_id": "83229859"}, {"ref": "sarkarsagar/geology-forecast", "kernel_id": "83945903"}, {"ref": "dheerajkannaujiya/geology-forecast", "kernel_id": "83364708"}, {"ref": "bluetriad/9th-place-solution-single-model", "kernel_id": "84138896"}, {"ref": "bluetriad/grunn-5folds", "kernel_id": "84091681"}, {"ref": "yiluosjtut/20250601-geology-forecast-challenge", "kernel_id": "84165573"}, {"ref": "ramazanturann/geology-forecast-challange-2025", "kernel_id": "84164837"}, {"ref": "liusunju/geology-forecast-challenge", "kernel_id": "84076703"}, {"ref": "heesuan/public-11st-private-4th", "kernel_id": "85507781"}, {"ref": "ishitabahamnia/geology-forecating-challenge", "kernel_id": "88313651"}]}
{"competition_id": "95742", "kernels": [{"ref": "varnithakurlireddy/time-series-varni", "kernel_id": "78697280"}, {"ref": "tianyimasf/wheat-price-shock-forecast", "kernel_id": "78400131"}, {"ref": "lizagunther/week9", "kernel_id": "78400161"}]}
{"competition_id": "95847", "kernels": []}
{"competition_id": "95902", "kernels": [{"ref": "jeshwanthpayyavula/notebookb159cc0639", "kernel_id": "78497779"}, {"ref": "keerthana0806/notebook71c4e7a168", "kernel_id": "78953599"}, {"ref": "keerthikamp/notebook59a529d892", "kernel_id": "79070944"}]}
{"competition_id": "95995", "kernels": []}
{"competition_id": "96000", "kernels": [{"ref": "mihailodin1/wide-resnet-custom-50-classes-99", "kernel_id": "87284228"}, {"ref": "mariakuleshova/notebook", "kernel_id": "87040110"}, {"ref": "stalskyle/butterflies-ensemble", "kernel_id": "88287523"}, {"ref": "alexzyukov/butterflies-classification", "kernel_id": "101701647"}, {"ref": "goshex/notebook41d256a039", "kernel_id": "126361360"}, {"ref": "broodmother/butterflies", "kernel_id": "127773667"}, {"ref": "vlasskibibdi/notebookd7c1492a79", "kernel_id": "128245367"}, {"ref": "igleftl/notebookf096a9ae36", "kernel_id": "128240339"}]}
{"competition_id": "96003", "kernels": []}
{"competition_id": "96013", "kernels": []}
{"competition_id": "96076", "kernels": []}
{"competition_id": "96078", "kernels": []}
{"competition_id": "96080", "kernels": [{"ref": "alanthanickal/notebookf8ee76a317", "kernel_id": "125996233"}]}
{"competition_id": "96124", "kernels": []}
{"competition_id": "96130", "kernels": []}
{"competition_id": "96149", "kernels": []}
{"competition_id": "96164", "kernels": [{"ref": "dalloliogm/drw-with-r", "kernel_id": "83789873"}, {"ref": "dalloliogm/drw-autogluon", "kernel_id": "83792981"}, {"ref": "dalloliogm/drw-prophet", "kernel_id": "83793314"}, {"ref": "dalloliogm/rev-engineering-the-original-order-of-test-rows", "kernel_id": "83875077"}, {"ref": "dalloliogm/drw-eda-pca-by-month-season-q-end", "kernel_id": "83878051"}, {"ref": "uzdavinys/drw-crypto-basic-eda", "kernel_id": "83454659"}, {"ref": "jefferythewind/warpgbm-invariant-example", "kernel_id": "83965037"}, {"ref": "docxian/drw-crypto-prediction-explore-data", "kernel_id": "83516986"}, {"ref": "stpeteishii/drw-label-distribution", "kernel_id": "83656024"}, {"ref": "stpeteishii/drw-lgbmregressor-w-pearson", "kernel_id": "83736260"}, {"ref": "stpeteishii/drw-mlp-regressor-lightning-w-pearson", "kernel_id": "83738706"}, {"ref": "stpeteishii/drw-catboostregressor-w-pearson", "kernel_id": "83737287"}, {"ref": "stpeteishii/drw-cnn-regressor-lightning-w-pearson", "kernel_id": "83849999"}, {"ref": "stpeteishii/drw-xgbregressor-w-pearson", "kernel_id": "83958213"}, {"ref": "ahsuna123/anonymized-features-importance-selection-eda", "kernel_id": "83615762"}, {"ref": "digantabhattacharya/drw-oneshot-elasticnet-baseline-model", "kernel_id": "83742701"}, {"ref": "digantabhattacharya/drw-oneshot-xgboost-baseline-model", "kernel_id": "83738255"}, {"ref": "yangq369/drw-lightgbm-fold", "kernel_id": "83987612"}, {"ref": "vinu0526/drw-crypto-prediction-eda-insights", "kernel_id": "83751747"}, {"ref": "samithsachidanandan/drw-crypto-predict-lgb-xgb-lasso-elastic-ensembe", "kernel_id": "83929909"}, {"ref": "andrewguanzc/drw-xgb-cls", "kernel_id": "83958293"}, {"ref": "nimaabedi/my-first-real-work", "kernel_id": "83806492"}, {"ref": "kakuteki/eda-crypto-market-prediction", "kernel_id": "83453356"}, {"ref": "kakuteki/h2o-automl-evaluation-drw2025", "kernel_id": "83655228"}, {"ref": "kakuteki/baseline-drw2025", "kernel_id": "83657846"}, {"ref": "kakuteki/catboost-drw2025", "kernel_id": "83660033"}, {"ref": "ravi20076/drw2025-baseline-v2", "kernel_id": "83585842"}, {"ref": "ravi20076/drw2025-public-imports-v1", "kernel_id": "83537275"}, {"ref": "ravi20076/drw2025-baseline-v1", "kernel_id": "83539273"}, {"ref": "shionao7/drw-cmp-start-notebook-1-temporal-cnn", "kernel_id": "83456026"}, {"ref": "mhazett/crypto-prediction", "kernel_id": "83819104"}, {"ref": "gkanamoto/crypto-market-prediction-lightgbm", "kernel_id": "83425946"}, {"ref": "taylorsamarel/drw-remix-v", "kernel_id": "83913226"}, {"ref": "taylorsamarel/auto-flaml-drw", "kernel_id": "83532305"}, {"ref": "migrantworkerdatahub/drw-simple", "kernel_id": "83576489"}, {"ref": "migrantworkerdatahub/drw-remix-v-mwdh", "kernel_id": "83917378"}, {"ref": "michalinahulak/ml-crypto-market-only-5-features", "kernel_id": "83453727"}, {"ref": "michalinahulak/eda-crypto-market", "kernel_id": "83451215"}, {"ref": "michalinahulak/pearson-metric", "kernel_id": "83509320"}, {"ref": "john0107/drw-crypto-market-prediction-comprehensive-eda", "kernel_id": "83543736"}, {"ref": "chrisk321/drw-crypto-eda-submission", "kernel_id": "83456105"}, {"ref": "kristiangohibi/data-analysis-eda-on-the-drw-crypto-market", "kernel_id": "83948767"}, {"ref": "ayushchandramaurya/drw-crypto-market-prediction", "kernel_id": "83724486"}, {"ref": "charleskluis/remix-of-top-notebooks", "kernel_id": "83922005"}, {"ref": "quentinadatte1307/drw-learn-features-with-transformers", "kernel_id": "83447682"}, {"ref": "quentinadatte1307/ensemble-with-time-series-split-0-067", "kernel_id": "83625417"}, {"ref": "rahuljaisy/drw-2025-xgbregressor-fundamental", "kernel_id": "83629525"}, {"ref": "rahuljaisy/drw-ridge-regression-visualization", "kernel_id": "83647627"}, {"ref": "rahuljaisy/drw-quant-2025-simple-moving-average-foundational", "kernel_id": "83663654"}, {"ref": "rahuljaisy/drw-trading-ols-regression-weighting-pca", "kernel_id": "83665261"}, {"ref": "rahuljaisy/drw-eda-analysis-step-forward-broader-pursuit", "kernel_id": "83760039"}, {"ref": "maxuhl98/xgboost-fe-timeseriessplit", "kernel_id": "83819520"}, {"ref": "ravaghi/drw-crypto-market-prediction-ensemble", "kernel_id": "83564667"}, {"ref": "kingkcabir/crypto-mining", "kernel_id": "83867124"}, {"ref": "ayushkhaire/drw-trading-competition-starter-notebook", "kernel_id": "83388015"}, {"ref": "nadiatriki/deep-eda-guide-for-drw-crypto-market", "kernel_id": "83819786"}, {"ref": "suthcong/drw-cpm-lightgbm", "kernel_id": "83423335"}, {"ref": "sadettinamilverdil/yat-r-m-tavsiyesi-de-ildir", "kernel_id": "83733279"}, {"ref": "feifeifei111/v1-sample-eda", "kernel_id": "83655679"}, {"ref": "tamareltech/gradient-models-shallow-nn-nn", "kernel_id": "83994484"}, {"ref": "verifyitisyou/drw-prophet-based-outliers", "kernel_id": "83687164"}, {"ref": "verifyitisyou/time-breaks-test", "kernel_id": "83647638"}, {"ref": "jasongou/sulov-feature-selection", "kernel_id": "83973325"}, {"ref": "jasongou/transformer-based-feature-selection", "kernel_id": "83973005"}, {"ref": "jasongou/information-theoretic-feature-selection", "kernel_id": "83988787"}, {"ref": "jasongou/drw-remix-v-mwdh-feature-addition", "kernel_id": "83985615"}, {"ref": "longissachairfay/feature-selection-batch-i", "kernel_id": "83947953"}, {"ref": "longissachairfay/feature-batch-selection-ii", "kernel_id": "83948257"}, {"ref": "aisocialtools/drw-trading-competition-starter-notebook", "kernel_id": "83492659"}, {"ref": "nikitamanaenkov/crypto-market-prediction-glnr", "kernel_id": "83461837"}, {"ref": "nikitamanaenkov/crypto-market-prediction-lstm", "kernel_id": "83394407"}, {"ref": "theonetheonly/nn-xgb", "kernel_id": "83852559"}, {"ref": "theonetheonly/temporal-reconstruct", "kernel_id": "83941787"}, {"ref": "nguynhngng240112/outlier", "kernel_id": "83730103"}, {"ref": "asilbekjon/crypto-predict", "kernel_id": "83499230"}, {"ref": "leecharlette/notebook0345ba7a50", "kernel_id": "83798886"}, {"ref": "aruanshkhare/optimized-version-1-catboost", "kernel_id": "83688742"}, {"ref": "dheerajkannaujiya/crypto", "kernel_id": "83654687"}, {"ref": "nicolassirabidze/drw-crypto", "kernel_id": "83731211"}, {"ref": "uzdavinys/drw-cypto-time-series-cross-validation-examples", "kernel_id": "84387264"}, {"ref": "interestednoob/drw-competition-hanging", "kernel_id": "84191624"}, {"ref": "digantabhattacharya/drw-regime-detection-using-hmm-pre-process", "kernel_id": "84507783"}, {"ref": "digantabhattacharya/drw-xgboost-lgbm-regimes-baseline-model", "kernel_id": "84807533"}, {"ref": "yihanguo/reboot-drw-verison-3", "kernel_id": "84975531"}, {"ref": "samithsachidanandan/drw-crypto-predict-xgb-ensembe", "kernel_id": "84033721"}, {"ref": "ryenhails/drw-autoencoder-deep-mlp-baseline", "kernel_id": "84080457"}, {"ref": "seraquevence/drw-nn-v001", "kernel_id": "84698830"}, {"ref": "seowoohyeon/drw-ver2", "kernel_id": "84822671"}, {"ref": "ravi20076/cmi2025-public-imports-v1", "kernel_id": "84014072"}, {"ref": "rozzzz/drw-2", "kernel_id": "84988892"}, {"ref": "klyushnik/drw-klyushnik-a", "kernel_id": "84230225"}, {"ref": "isinsuu/drw-base-meta", "kernel_id": "84929220"}, {"ref": "isinsuu/drw-autoencoder-mlp-outlier", "kernel_id": "84722975"}, {"ref": "pranshubahadur/drw-dt-gfn-generate-trees-using-gflownets", "kernel_id": "84813178"}, {"ref": "bakuer30/drw-remix-vi", "kernel_id": "84776897"}, {"ref": "abhinavsharma0706/crypto-market", "kernel_id": "84870038"}, {"ref": "abhinavsharma0706/lgbm-xgb-ensemble", "kernel_id": "84871939"}, {"ref": "migrantworkerdatahub/ensemble", "kernel_id": "84358540"}, {"ref": "migrantworkerdatahub/column-transformations-lightgbm-tuned-ensemble", "kernel_id": "84102155"}, {"ref": "migrantworkerdatahub/drw-remix-v-mwdh-gradient-boosting-models", "kernel_id": "84100737"}, {"ref": "migrantworkerdatahub/tpot-bootstrapping", "kernel_id": "84162326"}, {"ref": "chrisk321/cmi-detect-behavior-complete-eda", "kernel_id": "84027086"}, {"ref": "julietarubis/drw-crypto-market-prediction-time-sensitive-pric", "kernel_id": "84672335"}, {"ref": "hendriklzimmermann/drw-crypto-market-prediction-eda", "kernel_id": "84947434"}, {"ref": "yehqysns/xgb-lgbm-ensemble", "kernel_id": "84766677"}, {"ref": "arthurgaron/drw-deep-learning", "kernel_id": "84353175"}, {"ref": "toufikalhajj/time-series-drw-bitcoin-prediction", "kernel_id": "84459815"}, {"ref": "roxieruckman/greedy-factor-selection", "kernel_id": "84265751"}, {"ref": "ravaghi/drw-crypto-market-prediction-autogluon", "kernel_id": "84016194"}, {"ref": "sadettinamilverdil/experimental", "kernel_id": "84505032"}, {"ref": "laurisberkeley/solution-code-drw-prediction", "kernel_id": "84800289"}, {"ref": "shyeon99/drw-mainworkboard", "kernel_id": "84871659"}, {"ref": "santhankarnala/kemsaavee-2", "kernel_id": "84088838"}, {"ref": "verifyitisyou/custom-greedy-recursive-feature-addition", "kernel_id": "84110853"}, {"ref": "jasongou/fork-of-transformer-based-feature-selection", "kernel_id": "84131344"}, {"ref": "jasongou/test-advanced", "kernel_id": "84052814"}, {"ref": "dingyh2001/baseline-xgb-lightgbm-catboost", "kernel_id": "84654122"}, {"ref": "hariveeraprasad007/notebook9e9b6c3dac", "kernel_id": "84117949"}, {"ref": "yich723/drw-data-standardization", "kernel_id": "84961952"}, {"ref": "yashsahu02/drw-crypto-market-prediction", "kernel_id": "84524498"}, {"ref": "longissachairfay/boosted-tree-feature-selection-code", "kernel_id": "84053222"}, {"ref": "shevtsovapolina/s1-x2", "kernel_id": "84780770"}, {"ref": "marcussctse/xgb-model-crypto-market-prediction-drw", "kernel_id": "84702791"}, {"ref": "adostie3/crypto-market-prediction", "kernel_id": "84112046"}, {"ref": "gauravparkhedkar/drwmy", "kernel_id": "84704006"}, {"ref": "hirotoshisaito/drw-xgb-hs0615", "kernel_id": "84967214"}, {"ref": "skytsky/new-drw-lightgbm-fold", "kernel_id": "84730306"}, {"ref": "dheerajkannaujiya/crypto-1", "kernel_id": "84202886"}, {"ref": "nina2025/drw-crypto", "kernel_id": "84688634"}, {"ref": "hondakatsuhiro/drw-20250606", "kernel_id": "84589801"}, {"ref": "sfdthsdfzbnyu/drw-label-decode", "kernel_id": "84580231"}, {"ref": "oraclesleeping/notebookbab5f73c8e", "kernel_id": "84872671"}, {"ref": "kuzn137/drw-competition-xgboost-with-pls", "kernel_id": "85571369"}, {"ref": "rishabhbhartiya/crypto-market-prediction", "kernel_id": "85710566"}, {"ref": "seowoohyeon/drw-add-new-feature", "kernel_id": "85589063"}, {"ref": "seowoohyeon/drw-check-split10-corr", "kernel_id": "85813737"}, {"ref": "elmozamilelamir/clustering-and-lgbm", "kernel_id": "85791569"}, {"ref": "elmozamilelamir/working-on-lastyear-data", "kernel_id": "85795874"}, {"ref": "elmozamilelamir/firsttrylgbm", "kernel_id": "85728216"}, {"ref": "burakcankart/drw-basic-start", "kernel_id": "85143414"}, {"ref": "isinsuu/drw-xgboost", "kernel_id": "85690458"}, {"ref": "jofeds/feature-discovery-analysis", "kernel_id": "85816531"}, {"ref": "dunyuanzha/ensemble-drw", "kernel_id": "85055719"}, {"ref": "taylorsamarel/fork-of-fork-of-ensemble", "kernel_id": "85003457"}, {"ref": "taylorsamarel/nn-to-create-feature-engineering-transform-5", "kernel_id": "85017055"}, {"ref": "taylorsamarel/genetic-neural-network-feature-discovery", "kernel_id": "85126146"}, {"ref": "taylorsamarel/nn-attention-based-feature-discovery", "kernel_id": "85117556"}, {"ref": "taylorsamarel/dimensionality-reduction-35k-test", "kernel_id": "85245743"}, {"ref": "taylorsamarel/ideal-feature-engineering", "kernel_id": "85249102"}, {"ref": "taylorsamarel/rapids-cudf-binned-feature-combination", "kernel_id": "85587042"}, {"ref": "taylorsamarel/temporal-feature-groups-tuning-6-0", "kernel_id": "85908013"}, {"ref": "taylorsamarel/low-signal-to-noise-updated", "kernel_id": "85638437"}, {"ref": "migrantworkerdatahub/bucketing-dim-reduction", "kernel_id": "85879382"}, {"ref": "migrantworkerdatahub/drw-remix-vi-fourth-time-slice", "kernel_id": "85911382"}, {"ref": "migrantworkerdatahub/drw-remix-vi-fourth-time-slice-fifth-time", "kernel_id": "85912524"}, {"ref": "migrantworkerdatahub/20k-dimensionality-reduction-test", "kernel_id": "85239170"}, {"ref": "jasonzhang2022/drw-crypto-d75cea", "kernel_id": "85016149"}, {"ref": "akramguerchali/crypto-market-prediction", "kernel_id": "85265235"}, {"ref": "kjjjjjjj/tensorflow", "kernel_id": "85944495"}, {"ref": "digixintelligence/euphoria-1-0", "kernel_id": "85916127"}, {"ref": "digixintelligence/start-from-0-start-over-notebook", "kernel_id": "85388232"}, {"ref": "pinthattheparkinglot/drw-crypto-advanced-non-linear-feature-engineering", "kernel_id": "85273595"}, {"ref": "charleskluis/rank-transform-dimensionality-reduction-test", "kernel_id": "85398109"}, {"ref": "stefanconstantin/the-great-cv-showdown-finding-honest-validation-f", "kernel_id": "85555277"}, {"ref": "tulayppppp/drw-crypto-market-prediction-22-6-25", "kernel_id": "85620286"}, {"ref": "shinchen93/drw-xgb-train-data-recency", "kernel_id": "85881224"}, {"ref": "nitishprajapati26/ai-for-predicting-cryptocurrency-prices", "kernel_id": "85710186"}, {"ref": "electroknight/crypto-market-eda", "kernel_id": "85778776"}, {"ref": "nicholas33/drw-crypto-market-prediction-nb153", "kernel_id": "85559297"}, {"ref": "yutongzhang20080108/xgb-lgbm-ensemble-fe", "kernel_id": "85133446"}, {"ref": "poojapbabar/first-notebook-crypto", "kernel_id": "85094675"}, {"ref": "koushikkumardinda/drw-crypto-market-prediction-lightgbm-model", "kernel_id": "85600986"}, {"ref": "koushikkumardinda/drw-crypto-market-prediction-dataset", "kernel_id": "85026567"}, {"ref": "kumanchi/drw-crypto-market-prediction-v1-1", "kernel_id": "85033040"}, {"ref": "maggieq77/drw-1", "kernel_id": "85665904"}, {"ref": "abdallahahmed400/crypto-market-predict", "kernel_id": "85811534"}, {"ref": "ramanofthesky/i-am-a-duck", "kernel_id": "85855997"}, {"ref": "verifyitisyou/ranked-autoencoder", "kernel_id": "85488591"}, {"ref": "jasongou/dual-representation-2-0", "kernel_id": "85438577"}, {"ref": "daish0122/drw-prediction", "kernel_id": "85568788"}, {"ref": "longissachairfay/new-attempt-3", "kernel_id": "85833368"}, {"ref": "longissachairfay/new-attempt-4", "kernel_id": "85833462"}, {"ref": "longissachairfay/restart-testing", "kernel_id": "85395815"}, {"ref": "longissachairfay/important-features-dimension-reduction-2", "kernel_id": "85246868"}, {"ref": "aisocialtools/overfitting-is-all-you-need-not", "kernel_id": "85527415"}, {"ref": "aisocialtools/dropout-batchnorm", "kernel_id": "85527890"}, {"ref": "ruhul20/crypto-market-ensemble", "kernel_id": "85851377"}, {"ref": "wafaaalayoubi/full-eda-xgboost-96-11-crypto", "kernel_id": "85792816"}, {"ref": "wafaaalayoubi/simple-understanding-ridge", "kernel_id": "85666073"}, {"ref": "huhuanjin/notebookb1236ba635", "kernel_id": "85439447"}, {"ref": "huhuanjin/notebookdashuju", "kernel_id": "85475129"}, {"ref": "wuyueyue1/drw-crypto-market-prediction", "kernel_id": "85240235"}, {"ref": "mzhsyt/notebookbef250619", "kernel_id": "85361894"}, {"ref": "roxannetaylorscott/everything-is-right", "kernel_id": "85919147"}, {"ref": "drameracons/competition-drw-crypto-market-prediction", "kernel_id": "85613141"}, {"ref": "zhangyuehan151/notebook38110b2365", "kernel_id": "85739671"}, {"ref": "zhangyuehan151/notebook5dfab034b8", "kernel_id": "85254593"}, {"ref": "battleninza/drw-competition-end-to-end-notebook", "kernel_id": "85256897"}, {"ref": "hirotoshisaito/drw-xgb-hs0613", "kernel_id": "85040271"}, {"ref": "byaozzz/drw-prediction", "kernel_id": "85560188"}, {"ref": "nina2025/drw-crypto-market-prediction-ensemble-tida", "kernel_id": "85581361"}, {"ref": "nina2025/drw-crypto-market-prediction-h-blend", "kernel_id": "85594936"}, {"ref": "chuxinyukerrrr/notebookbef250619-1e354f", "kernel_id": "85430582"}, {"ref": "chuxinyukerrrr/drnjiamishichangyuce", "kernel_id": "85148161"}, {"ref": "leekeyue/notebookeda00282bd", "kernel_id": "85153140"}, {"ref": "juiceguozhi/notebookdashuju", "kernel_id": "85434637"}, {"ref": "llyyee/0618source", "kernel_id": "85291151"}, {"ref": "harshit21y/ridge-regression-demo-2", "kernel_id": "85800459"}, {"ref": "kuzn137/xgboost-with-features-from-pls-private-score-0-099", "kernel_id": "86957924"}, {"ref": "gromml/the-order-of-the-test-rows", "kernel_id": "86544011"}, {"ref": "gromml/reboot-use-the-lead-values", "kernel_id": "86826137"}, {"ref": "gromml/the-order-of-the-test-rows-2", "kernel_id": "86796674"}, {"ref": "interestednoob/fork-of-drw-competition-dataset-creation", "kernel_id": "86706219"}, {"ref": "quangkhinguynhng/xgboost-purgekfolde", "kernel_id": "86868196"}, {"ref": "dmitriych/add-more-lags", "kernel_id": "86624308"}, {"ref": "siuhangip/test-data-s-colmun-mean-and-var-affine-transformed", "kernel_id": "86924713"}, {"ref": "seowoohyeon/reboot-feature-select-baseline", "kernel_id": "86863126"}, {"ref": "younaniskander/drw-crypto-market-with-transformer", "kernel_id": "86808024"}, {"ref": "younaniskander/drw-crypto-market-forecasting-lgbm", "kernel_id": "86653898"}, {"ref": "taylorsamarel/reboot-fire-and-ice-with-gradient-based-anti-of", "kernel_id": "86960169"}, {"ref": "taylorsamarel/reboot-baseline-score-xgb-discrim-start-5-0", "kernel_id": "86986718"}, {"ref": "taylorsamarel/reboot-knowledge-is-indestructable-et", "kernel_id": "86989305"}, {"ref": "taylorsamarel/flow-like-water-2-0-gradient-based", "kernel_id": "86887584"}, {"ref": "taylorsamarel/fork-of-drw-remix-iii-tuned-remix", "kernel_id": "86687530"}, {"ref": "taylorsamarel/step-3-5b-test-nn-drop-out-noise", "kernel_id": "86422526"}, {"ref": "taylorsamarel/dl-w-greedy-recursive-feature-addition-tracking-2", "kernel_id": "86009819"}, {"ref": "qiweiyin/drw-xgb-nn-train-data-recency", "kernel_id": "86102657"}, {"ref": "migrantworkerdatahub/cpu-based-drw-vi-fourth-time-slice-remixed", "kernel_id": "86004862"}, {"ref": "migrantworkerdatahub/xgb-deep-learning-updated-ensemble-weights", "kernel_id": "86161214"}, {"ref": "migrantworkerdatahub/top-notebook-new-model-csv-ensemble", "kernel_id": "86242501"}, {"ref": "migrantworkerdatahub/small-improvements", "kernel_id": "86594765"}, {"ref": "migrantworkerdatahub/remix-drw-competition-add-feature", "kernel_id": "86588667"}, {"ref": "migrantworkerdatahub/flow-like-water-remix-30-variables", "kernel_id": "86889649"}, {"ref": "marcosshen/drw-denoise-cnn", "kernel_id": "86333192"}, {"ref": "pinthattheparkinglot/vime-feature-importance", "kernel_id": "86313662"}, {"ref": "pinthattheparkinglot/v2-0-tangos-feature-importance", "kernel_id": "86346903"}, {"ref": "charleskluis/ensemble-envy-5-0", "kernel_id": "86319447"}, {"ref": "hongkongno1/reduce-ram-by-73-2-2222", "kernel_id": "86630351"}, {"ref": "matejkamenicky/crypto-marker-prediction-mlp", "kernel_id": "86132775"}, {"ref": "vinodkumargurjar/crypto-price-prediction-vinod", "kernel_id": "86702094"}, {"ref": "qamarmath/hyperparameter-tuning-of-catboost", "kernel_id": "86981021"}, {"ref": "qamarmath/catboostregressor-baseline", "kernel_id": "86967262"}, {"ref": "sudhanshu3112/cryptotrends-deep-eda-predictive-modeling", "kernel_id": "86731578"}, {"ref": "tulayppppp/drw-crypto-8-7-2025", "kernel_id": "86501796"}, {"ref": "shinchen93/all-you-need-is-random-state-700", "kernel_id": "86602971"}, {"ref": "electroknight/rise-of-linear-regression", "kernel_id": "86382068"}, {"ref": "koushikkumardinda/drw-crypto-market-prediction", "kernel_id": "86915409"}, {"ref": "vishalpainjane/drw-ensemble-0-72837", "kernel_id": "86916857"}, {"ref": "vishalpainjane/drw-ensembling-0-86767", "kernel_id": "86925811"}, {"ref": "abdallahahmed400/drw-with-nn", "kernel_id": "86442746"}, {"ref": "zjnicolewong/notebook-crypto", "kernel_id": "86707769"}, {"ref": "tamareltech/105-feature-gandalf", "kernel_id": "86177779"}, {"ref": "verifyitisyou/greedy-3-0", "kernel_id": "86096904"}, {"ref": "jasongou/ensemble-envy-saint", "kernel_id": "86469203"}, {"ref": "jasongou/fork-of-fork-of-anti-overfitting-with-meta-based-b", "kernel_id": "86905542"}, {"ref": "bilaltahirkoaran/pre-model-drw", "kernel_id": "86065713"}, {"ref": "longissachairfay/ensemble-envy-4-0", "kernel_id": "86319001"}, {"ref": "longissachairfay/dcn-v2-feature-importance", "kernel_id": "86314017"}, {"ref": "longissachairfay/mlp-feature-importance-top-500", "kernel_id": "86370893"}, {"ref": "longissachairfay/gandalf-tuning-2-0", "kernel_id": "86407681"}, {"ref": "longissachairfay/fork-of-reboot-attempt-9-000", "kernel_id": "86886869"}, {"ref": "longissachairfay/reboot-all-you-need-is-giveup", "kernel_id": "86908218"}, {"ref": "carlosmendozaii/dofen-feature-importance", "kernel_id": "86317446"}, {"ref": "carlosmendozaii/saint-tuning", "kernel_id": "86411323"}, {"ref": "carlosmendozaii/105-feature-deepgbm", "kernel_id": "86178541"}, {"ref": "carlosmendozaii/105-feature-node", "kernel_id": "86178711"}, {"ref": "carlosmendozaii/reboot-model-set-diversity-4", "kernel_id": "86884335"}, {"ref": "carlosmendozaii/reboot-model-set-diversity-5", "kernel_id": "86885709"}, {"ref": "adilshamim8/drw-crypto-market-prediction", "kernel_id": "86987248"}, {"ref": "giakhanhlvc/improved-unshuffle-700-time-series-style", "kernel_id": "86680823"}, {"ref": "roxannetaylorscott/1-better-everyday-mlp-feature-search", "kernel_id": "86171763"}, {"ref": "kikiaidesigner/mlp-continuous-learning-all-features", "kernel_id": "86559742"}, {"ref": "singha07/crypto-pred", "kernel_id": "86401595"}, {"ref": "shadycoderalltime/drw-crypto", "kernel_id": "86347341"}, {"ref": "twochar24/drwcrypto", "kernel_id": "86131133"}, {"ref": "leoweiyeli/day-4-feature-engineering", "kernel_id": "86659861"}, {"ref": "hirotoshisaito/drw-xgb-hs0628", "kernel_id": "86031444"}, {"ref": "emanhishamismail/drw-crypto-market", "kernel_id": "86241290"}, {"ref": "nina2025/simple-h-blend", "kernel_id": "86079775"}, {"ref": "nina2025/simple-and-reliable-anti-aliasing-technology", "kernel_id": "86650629"}, {"ref": "yingjunmao/drw-ensemble-of-ensemble-of-ensemble", "kernel_id": "86295949"}, {"ref": "abioduntiamiyu/first-runner-up", "kernel_id": "86963205"}, {"ref": "harshit21y/simple-ridge-regression", "kernel_id": "86603766"}, {"ref": "harshit21y/basic-xg-boost", "kernel_id": "86695923"}, {"ref": "harshit21y/trying-simple-models", "kernel_id": "86436530"}, {"ref": "christianwalkerow/macbook-air-crypto-quest-drw-competition-notebook", "kernel_id": "86153732"}, {"ref": "ruanpengju/drw-crypto-all-u-need-is-give-up", "kernel_id": "86692945"}, {"ref": "tianmuhe/cpu-based-drw-vi-fourth-time-slice-remixed", "kernel_id": "86427594"}, {"ref": "josipvukui/drw-shap-feature-selection-time-aware-xg", "kernel_id": "86347136"}, {"ref": "fzngagan/fast-ai-lr-optimized", "kernel_id": "87461655"}, {"ref": "menghaozhao/drw-lgbm", "kernel_id": "87281149"}, {"ref": "tobimichigan/drw-crypto-market-ensembled-algorithms", "kernel_id": "87804018"}, {"ref": "interestednoob/final-of-data-creation", "kernel_id": "87208470"}, {"ref": "interestednoob/drw-competition-ok", "kernel_id": "87713992"}, {"ref": "quangkhinguynhng/catboost-purgekfold", "kernel_id": "87403744"}, {"ref": "sandhyaavasthi/crypto-market-prediction", "kernel_id": "87533424"}, {"ref": "youneseloiarm/drw-new-data-simple-model-004caa", "kernel_id": "87819900"}, {"ref": "abhijitrajkumar/drw-crypto-market-prediction-pca", "kernel_id": "87298292"}, {"ref": "lnchtgnlt/rf-lgbm", "kernel_id": "87442011"}, {"ref": "lnchtgnlt/market-states-feature-engineering", "kernel_id": "87555898"}, {"ref": "nicolesy/summary-of-my-work-in-drw", "kernel_id": "87417385"}, {"ref": "prateekkiran/minute-level-crypto-forecast-with-lgbm", "kernel_id": "87458274"}, {"ref": "isinsuu/drw-simple-fe", "kernel_id": "87610802"}, {"ref": "rafaelayllngaviln/xgboost-ensemble-an-end-to-end-solution", "kernel_id": "87293112"}, {"ref": "jdoyun/xgboost", "kernel_id": "87350324"}, {"ref": "ducknew/drw-crypto-ensemble-0-95166", "kernel_id": "87273867"}, {"ref": "ducknew/drw-0716", "kernel_id": "87187456"}, {"ref": "ducknew/top-2-0-95129-ensemble", "kernel_id": "87405618"}, {"ref": "taylorsamarel/feature-select-pseudo-labels-x-lightgbm", "kernel_id": "87006493"}, {"ref": "taylorsamarel/xgb-tree-stable-features-only", "kernel_id": "87020591"}, {"ref": "taylorsamarel/train-cv-focused-autogluon-hierarchical-ens", "kernel_id": "87975794"}, {"ref": "taylorsamarel/anti-noise-models", "kernel_id": "87975982"}, {"ref": "taylorsamarel/ngboost", "kernel_id": "87976288"}, {"ref": "taylorsamarel/bidirectional-quartile-based-noise-compression", "kernel_id": "87821174"}, {"ref": "taylorsamarel/intelligent-compression-example-1-drw-use-case", "kernel_id": "87820333"}, {"ref": "taylorsamarel/hybrid-compression", "kernel_id": "87728705"}, {"ref": "taylorsamarel/dynamic-feature-and-label-compression", "kernel_id": "87726851"}, {"ref": "taylorsamarel/smooth-compression", "kernel_id": "87743440"}, {"ref": "taylorsamarel/compression-is-all-you-need", "kernel_id": "87748230"}, {"ref": "arpit786/drw-insight-simple-visualisation", "kernel_id": "87817663"}, {"ref": "vladimirmataev/drw-crypto-market-prediction-xgb-and-catboost", "kernel_id": "87814666"}, {"ref": "cosmicwitness/eda-efficiently-dropping-duplicate-columns", "kernel_id": "87129055"}, {"ref": "bernatcotssesmilo/final", "kernel_id": "87497049"}, {"ref": "denvermagtibay/drw-crypto-market-prediction-0-95166", "kernel_id": "87757490"}, {"ref": "ismailaliahmed/submission-baseline-drw-crypto-market", "kernel_id": "87519434"}, {"ref": "nicholas33/drw-dynamic-rank-weighted-ensemble-nb153", "kernel_id": "87660846"}, {"ref": "nicholas33/drw-crypto-market-prediction-cb-lgbm-xgb-nb153", "kernel_id": "87263816"}, {"ref": "faheem7866/crypto-market-predicton-xgbregressor-422", "kernel_id": "87692821"}, {"ref": "samasiayushman/model-of-best-5", "kernel_id": "87325447"}, {"ref": "z1493916656/final-solution", "kernel_id": "87778256"}, {"ref": "longissachairfay/converge-final-solution-optuna-stability-away", "kernel_id": "87983383"}, {"ref": "longissachairfay/james-stein-estimator", "kernel_id": "87978538"}, {"ref": "longissachairfay/final-solution-optuna-stability-away", "kernel_id": "87978589"}, {"ref": "samuelmajji/drw-ensemble-prediction", "kernel_id": "87053362"}, {"ref": "mkb776/cryptoprediction", "kernel_id": "87473409"}, {"ref": "dureyashfeen/d-r-w-crypto-market-prediction", "kernel_id": "87806545"}, {"ref": "sohamjee/drw-predictions-with-clustering", "kernel_id": "87589192"}, {"ref": "sohamjee/drw-predictions-with-lstm", "kernel_id": "87536165"}, {"ref": "sohamjee/drw-predictions-with-ensemble-models", "kernel_id": "87468867"}, {"ref": "chiragmc/drw-crypto-market-prediction-chiragmc", "kernel_id": "87618275"}, {"ref": "mahmoudehab6677/drw-crypto-market-prediction", "kernel_id": "87328596"}, {"ref": "mohamedzakaria91/drw-crypto-prediction-with-neural-network-blend", "kernel_id": "87500575"}, {"ref": "mohamedzakaria91/reboot-use-the-lead-values-improved", "kernel_id": "87450124"}, {"ref": "mohamedzakaria91/reboot-sgd-convergence", "kernel_id": "87450388"}, {"ref": "mohamedzakaria91/xgb-deep-learning-ensemble", "kernel_id": "87450780"}, {"ref": "mohamedzakaria91/drw-crypto-market-prediction-ensemble-submission", "kernel_id": "87447982"}, {"ref": "mohamedzakaria91/drw-crypto-market-prediction-iblend", "kernel_id": "87447998"}, {"ref": "mohamedzakaria91/drw-crypto-market-prediction", "kernel_id": "87388805"}, {"ref": "ishitabahamnia/drw-crypto-market-prediction-submission-template", "kernel_id": "87798043"}, {"ref": "truthminer/optuna-feature-selection", "kernel_id": "87716899"}, {"ref": "chrisl1u/drw-crypto", "kernel_id": "87755062"}, {"ref": "adostie3/xgb-tree-stable", "kernel_id": "87824492"}, {"ref": "adostie3/crypto-pca-prep", "kernel_id": "87600949"}, {"ref": "bernatcot/drw-autoencoder-mlp-outlier", "kernel_id": "87816198"}, {"ref": "aswathkumares/drw-crypto-market-prediction", "kernel_id": "87776279"}, {"ref": "leoweiyeli/drw-competition-add-feature", "kernel_id": "87076259"}, {"ref": "leoweiyeli/drw2025-baseline-v2", "kernel_id": "87076577"}, {"ref": "leoweiyeli/min-pipeline", "kernel_id": "87077942"}, {"ref": "leoweiyeli/prediction1", "kernel_id": "87077703"}, {"ref": "josihyun/ridge", "kernel_id": "87372674"}, {"ref": "nina2025/drw-blend-horizontal-blend-vertical-temp", "kernel_id": "87268536"}, {"ref": "nina2025/drw-h-blend", "kernel_id": "87196851"}, {"ref": "nina2025/simple-and-reliable-anti-aliasing-technology-3", "kernel_id": "87807522"}, {"ref": "sanhuo11/drw-crypto-ensemble-5dca7e", "kernel_id": "87817623"}, {"ref": "lukekennedy27/shap-feature-selection-time-aware-xg", "kernel_id": "87286860"}, {"ref": "daisiqi666/submission-7-25-lag", "kernel_id": "87816843"}, {"ref": "gleb270/4th-place-drw-crypto-prediction", "kernel_id": "88302743"}, {"ref": "youneseloiarm/drw-2nd-place-in-the-private-lb", "kernel_id": "88305316"}, {"ref": "youneseloiarm/drw-24th-place-in-the-private-lb", "kernel_id": "88171142"}, {"ref": "longissachairfay/adjusted-ensemble", "kernel_id": "88180308"}, {"ref": "debarupasinha/drw-final-solu", "kernel_id": "89151216"}, {"ref": "taylorsamarel/remix-of-winning-strategies-part-2", "kernel_id": "90831433"}, {"ref": "shrini01/drw-crypto-pred-ridge-l2-baseline-groupkfold", "kernel_id": "91957021"}, {"ref": "taylorsamarel/fork-of-remix-of-winning-strategies-part-2", "kernel_id": "91928362"}, {"ref": "truthminer/crypto-market-prediction", "kernel_id": "92081994"}, {"ref": "rajgupta987/crypto-market-price-prediction", "kernel_id": "92202776"}, {"ref": "qamarmath/cryptocurrency-market-prediction-with-mlpregressor", "kernel_id": "100533180"}, {"ref": "aimbetter/tutorial-drw-crypto-market-prediction-by-chiragmc", "kernel_id": "103165746"}, {"ref": "guyue00/h-blend", "kernel_id": "106962298"}, {"ref": "yaomoayepaulalex/drw-solution-ridge", "kernel_id": "109678230"}, {"ref": "mindaugask/drw-linear-predictor", "kernel_id": "117573217"}, {"ref": "jnwkkk/drw-crypto-baseline-lgbm-xgb-ensemble", "kernel_id": "121318354"}, {"ref": "kuzn137/xgboost-with-90-pls-vip-features-score-0-1005", "kernel_id": "128333004"}]}
{"competition_id": "96243", "kernels": []}
{"competition_id": "96253", "kernels": [{"ref": "osmansevili/customer-default", "kernel_id": "97079732"}, {"ref": "gamzebabayigit/customerdefaultpediction", "kernel_id": "102998562"}]}
{"competition_id": "96254", "kernels": [{"ref": "rajputpritesh31/kaggle-community-olympiad-unmasking-fakes", "kernel_id": "81060259"}, {"ref": "shimanshusingh/unmasking-fakes-by-himanshu", "kernel_id": "81073217"}]}
{"competition_id": "96279", "kernels": [{"ref": "ayushbohra123/dl-roll6-ca3", "kernel_id": "94996449"}, {"ref": "siddheshdesale/notebook49bc4dde59", "kernel_id": "94997357"}, {"ref": "jatalhemant/notebook349ee4196a", "kernel_id": "94996431"}, {"ref": "kajolgupta29/notebookb1506d2ad8", "kernel_id": "94997721"}, {"ref": "ayushbangar04/notebookd308f25632", "kernel_id": "94998156"}, {"ref": "harshbasantani1507/notebookd208c3a14a", "kernel_id": "94996634"}, {"ref": "manasidesai2024/dl-ca3-roll-10", "kernel_id": "95005968"}, {"ref": "kashewknutt/dl-ca-rajatdisawal-13", "kernel_id": "95003839"}, {"ref": "sanketvesit/notebook93640544bb", "kernel_id": "95002354"}, {"ref": "sanketvesit/notebooka133280a6f", "kernel_id": "95000697"}]}
{"competition_id": "96281", "kernels": [{"ref": "tojoh15/ml-in-e-f-assignment-04", "kernel_id": "78750035"}, {"ref": "thorminator/succes-by-overfitting-91", "kernel_id": "79698500"}]}
{"competition_id": "96294", "kernels": []}
{"competition_id": "96308", "kernels": []}
{"competition_id": "96317", "kernels": [{"ref": "dugru32/notebook1a35a834d9", "kernel_id": "80344430"}, {"ref": "thanasisskotis/sdi2300188", "kernel_id": "80444400"}, {"ref": "almantz/ffnn-sentiment-classifier-ai2-assignment-2", "kernel_id": "81285757"}, {"ref": "nicolasvit/sdi2100015", "kernel_id": "81545593"}, {"ref": "andreaskoulopoulos/v5-good", "kernel_id": "82250822"}]}
{"competition_id": "96320", "kernels": [{"ref": "pavelalimov/ml-course-task1-clustering", "kernel_id": "92909219"}]}
{"competition_id": "96321", "kernels": []}
{"competition_id": "96325", "kernels": []}
{"competition_id": "96343", "kernels": []}
{"competition_id": "96348", "kernels": []}
{"competition_id": "96416", "kernels": [{"ref": "ammargamalmahmoud/digit-recognizer-challenge", "kernel_id": "79164118"}, {"ref": "akshaypvnam/digital-recognizer-mnist", "kernel_id": "84660789"}, {"ref": "welsneil/digit-recognizer", "kernel_id": "88076832"}, {"ref": "youxiongchin/notebook-oct28-v4", "kernel_id": "95641582"}, {"ref": "shahadalqahtani92/dl-assignment1", "kernel_id": "110242163"}, {"ref": "zaeemnasir7/deeplearning-assignment-1", "kernel_id": "111846995"}, {"ref": "chaitanyajamble/digi-recognizer", "kernel_id": "130401322"}, {"ref": "chaitanyajamble/digi-recognizer-2", "kernel_id": "130405303"}]}
{"competition_id": "96424", "kernels": []}
{"competition_id": "96426", "kernels": []}
{"competition_id": "96431", "kernels": [{"ref": "faheemhere/catboost", "kernel_id": "78906279"}, {"ref": "lvyujiao/the-final-work", "kernel_id": "97414036"}, {"ref": "abdulrahmanmohammed1/catboost-second-attempt", "kernel_id": "109764205"}, {"ref": "ojaspadhye/predict-loan-bit", "kernel_id": "133454114"}]}
{"competition_id": "96448", "kernels": []}
{"competition_id": "96517", "kernels": []}
{"competition_id": "96525", "kernels": []}
{"competition_id": "96529", "kernels": [{"ref": "afifalisaadman/solutionforcrabage", "kernel_id": "95331807"}]}
{"competition_id": "96552", "kernels": [{"ref": "alexandrecostaferro/baseline-1", "kernel_id": "79453323"}]}
{"competition_id": "96557", "kernels": []}
{"competition_id": "96560", "kernels": []}
{"competition_id": "96570", "kernels": []}
{"competition_id": "96634", "kernels": []}
{"competition_id": "96655", "kernels": []}
{"competition_id": "96661", "kernels": [{"ref": "egorlihverov/video-classification-with-resnet-50-and-rnn", "kernel_id": "82563216"}, {"ref": "nas2astt/vidosiki2-0", "kernel_id": "84160339"}, {"ref": "nas2astt/baseline-whats-on-the-video-1", "kernel_id": "84159024"}, {"ref": "nas2astt/videos", "kernel_id": "84199296"}, {"ref": "chickowar/0-78-acc-video-classification-using-3d-cv", "kernel_id": "85616089"}, {"ref": "verifyitisyou/0-78-acc-video-classification-using-3d-cv-remi", "kernel_id": "88675682"}]}
{"competition_id": "96676", "kernels": []}
{"competition_id": "96686", "kernels": [{"ref": "argenazanov/customer-churn-azarft", "kernel_id": "79685295"}, {"ref": "turatbektorobekov/churnprediction", "kernel_id": "80337122"}, {"ref": "zarinakerimalieva/customer-churn-prediction", "kernel_id": "80334558"}, {"ref": "ainazikbakytbek/ultimate", "kernel_id": "80129262"}, {"ref": "rasimarapov/churn-prediction", "kernel_id": "80312070"}, {"ref": "senkustics/basic-exploratory-data-analysis-general-approach", "kernel_id": "84742036"}, {"ref": "liuxuanliuxuan/the-best-11111-bb59ab", "kernel_id": "85551624"}, {"ref": "zy1267/the-best-11111", "kernel_id": "85422810"}, {"ref": "paramveerkaur/customer-churn-prediction", "kernel_id": "92238106"}, {"ref": "tb4cpcsp/notebook8b68f8965e", "kernel_id": "93934976"}]}
{"competition_id": "96721", "kernels": [{"ref": "ssegui/baseline-project", "kernel_id": "78966376"}, {"ref": "javierverbastaricoff/notebookd0ab03b967", "kernel_id": "79151549"}, {"ref": "romanahmed2024/price-house-prediction-2024b-v1", "kernel_id": "80915639"}, {"ref": "romanahmed2024/price-house-prediction-2024b-v2", "kernel_id": "80920135"}, {"ref": "reatsix3/models-stacking-evaluate", "kernel_id": "87123682"}]}
{"competition_id": "96731", "kernels": [{"ref": "meddhifallah/xgboost", "kernel_id": "80496252"}]}
{"competition_id": "96745", "kernels": [{"ref": "andreymetky/avto-video-caption", "kernel_id": "80846194"}, {"ref": "egorlihverov/automated-video-captioning-with-resnet-50-and-rnn", "kernel_id": "82839746"}, {"ref": "chickowar/0-014-vit-feature-extraction-and-gru", "kernel_id": "85661858"}, {"ref": "sergeivoitov/video-captioning", "kernel_id": "89664790"}]}
{"competition_id": "96840", "kernels": []}
{"competition_id": "96904", "kernels": [{"ref": "ty70jj/notebook55e0cb055d", "kernel_id": "79128714"}, {"ref": "michaelsemenoff/vibe-code-xgb-optuna", "kernel_id": "79213417"}, {"ref": "michaelsemenoff/vibe-coding-baseline", "kernel_id": "79178679"}, {"ref": "ravi20076/ecommerce2025-starter-v1", "kernel_id": "79135406"}, {"ref": "ravi20076/ecommerce2025-starter-v2", "kernel_id": "79143982"}, {"ref": "kentak0928/host-baseline-lightgbm-e-commerce-users", "kernel_id": "79067473"}, {"ref": "yunsuxiaozi/poeu-yunbase", "kernel_id": "79140112"}, {"ref": "kaito3506/lgbm-xgb-cat", "kernel_id": "79346063"}, {"ref": "ty70jj/prediction-with-catboostregressor", "kernel_id": "80660708"}, {"ref": "ty70jj/take-a-look-at-the-dataset-2", "kernel_id": "80416344"}, {"ref": "echigobran/sarimax-baseline", "kernel_id": "80808701"}, {"ref": "ty70jj/catboost-two-phase-learning-approach", "kernel_id": "82090103"}]}
{"competition_id": "96929", "kernels": []}
{"competition_id": "96936", "kernels": []}
{"competition_id": "96937", "kernels": [{"ref": "damo11/intento1", "kernel_id": "83340568"}]}
{"competition_id": "96939", "kernels": []}
{"competition_id": "96951", "kernels": []}
{"competition_id": "96962", "kernels": []}
{"competition_id": "96964", "kernels": [{"ref": "jakewright/stock-prediction-using-gradients", "kernel_id": "79176083"}, {"ref": "shigeokitamura/predicting-stock-trends-classification", "kernel_id": "81474244"}, {"ref": "wxyaaaa/predicting-stock-trends-rise-or-fall1", "kernel_id": "102113563"}, {"ref": "rakeshnath1/notebook38d473fe50", "kernel_id": "105662137"}, {"ref": "sulimanyoussef/data-preproc", "kernel_id": "107522619"}, {"ref": "marmarjunbb/predicting-ohlc-stock-prices", "kernel_id": "108937677"}, {"ref": "forcur2/novitec", "kernel_id": "108181099"}, {"ref": "yanruijia/stock-prediction-using-gradients", "kernel_id": "108661444"}, {"ref": "juliangoph/predicting-stock-trends", "kernel_id": "110884722"}, {"ref": "juliangoph/predicting-stock-trends-lightgbm", "kernel_id": "110955924"}, {"ref": "juliangoph/predicting-stock-trends-xgboost", "kernel_id": "110956217"}, {"ref": "lansonw/biphlw", "kernel_id": "114149402"}]}
{"competition_id": "96965", "kernels": []}
{"competition_id": "96973", "kernels": []}
{"competition_id": "96984", "kernels": []}
{"competition_id": "96993", "kernels": [{"ref": "simonclement/dronevision-competition-sample-notebook", "kernel_id": "80974190"}]}
{"competition_id": "96996", "kernels": [{"ref": "normaldaki278/baseline", "kernel_id": "82279886"}]}
{"competition_id": "97021", "kernels": []}
{"competition_id": "97047", "kernels": []}
{"competition_id": "97111", "kernels": [{"ref": "asengupta07/starter-notebook", "kernel_id": "79504293"}, {"ref": "debanshupaul/notebook4c21fc4f27", "kernel_id": "79572487"}, {"ref": "dibyendussengupta/csgomatchpredictionss", "kernel_id": "79522681"}, {"ref": "khaireddinearbouch/classification-challenge-clutch-or-kick", "kernel_id": "93021249"}]}
{"competition_id": "97155", "kernels": [{"ref": "asengupta07/regression-starter-notebook", "kernel_id": "79514314"}, {"ref": "akinduhiman/mlx-2-0-regression-challenge-approach-2", "kernel_id": "81964703"}, {"ref": "dinethrandula/mlx-2-0-regression-challenge-predict-the-hype-1-0", "kernel_id": "81628194"}, {"ref": "dinethrandula/mlx-2-0-regression-challenge-predict-the-hype-2-0", "kernel_id": "81651177"}, {"ref": "dinethrandula/mlx-2-0-regression-challenge-predict-the-hype-3-0", "kernel_id": "81888723"}, {"ref": "akinduhiman/mlx-2-0-regression-challenge-approach-1", "kernel_id": "83730167"}, {"ref": "luxluxshan/mlx-2-0-hype-a-full-pipeline-from-eda-to-ensemble", "kernel_id": "83886218"}, {"ref": "dinethrandula/mlx-2-0-regression-challenge-predict-the-hype-4-0", "kernel_id": "83156252"}, {"ref": "uom220315r/mlx-2-0-method-1-220315r", "kernel_id": "83723270"}, {"ref": "uom220315r/mlx-2-0-method-2-220315r", "kernel_id": "83733582"}, {"ref": "kisarak/ensemble-stack-mlx", "kernel_id": "84020932"}, {"ref": "uom210224d/regression-challenge", "kernel_id": "114480113"}]}
{"competition_id": "97177", "kernels": []}
{"competition_id": "97250", "kernels": []}
{"competition_id": "97263", "kernels": [{"ref": "fedirkyrychenko/valorant-agent-detection-starter-notebook", "kernel_id": "80871616"}]}
{"competition_id": "97281", "kernels": [{"ref": "vikassol96/notebook4a879d6411", "kernel_id": "95397352"}]}
{"competition_id": "97335", "kernels": [{"ref": "mrmannentv/mlolympia-stampede", "kernel_id": "80875404"}]}
{"competition_id": "97417", "kernels": [{"ref": "iiyamaiiyama/mcd-2024-open-baseline-notebook", "kernel_id": "79471489"}, {"ref": "iiyamaiiyama/mcd-2024-open-retrieval-notebook", "kernel_id": "79471738"}, {"ref": "iiyamaiiyama/mcd-2024-open-llm-baseline-notebook", "kernel_id": "79473568"}]}
{"competition_id": "97441", "kernels": [{"ref": "denispetrov11234/notebook757ce1d2a5", "kernel_id": "80031978"}, {"ref": "artemgoncarov/ioai-hw-bert-classification", "kernel_id": "80007012"}, {"ref": "zabojeb/ioai-1-2", "kernel_id": "80047188"}]}
{"competition_id": "97446", "kernels": [{"ref": "jaaguptamme/starting-notebook", "kernel_id": "80282911"}]}
{"competition_id": "97450", "kernels": []}
{"competition_id": "97456", "kernels": []}
{"competition_id": "97457", "kernels": []}
{"competition_id": "97458", "kernels": []}
{"competition_id": "97472", "kernels": []}
{"competition_id": "97520", "kernels": []}
{"competition_id": "97521", "kernels": []}
{"competition_id": "97544", "kernels": []}
{"competition_id": "97569", "kernels": [{"ref": "garrickchinnis/regression-classification-starter-notebook", "kernel_id": "77278560"}, {"ref": "dremovd/baseline-mem", "kernel_id": "79815960"}, {"ref": "dremovd/check-token-info", "kernel_id": "79983395"}, {"ref": "dremovd/check-mint-block", "kernel_id": "80747997"}, {"ref": "niscreed/solana-making-predictions-without-chunks", "kernel_id": "80858298"}, {"ref": "niscreed/solana-baseline-xgboost-0-032-18th", "kernel_id": "80766460"}, {"ref": "gleb270/overview-of-pumpfunapi-data", "kernel_id": "80843501"}, {"ref": "ifeadewumi/solana-ensemble-notebook", "kernel_id": "80981770"}, {"ref": "michaelsemenoff/ensemble-starter", "kernel_id": "80055454"}, {"ref": "mr0106/solgx", "kernel_id": "80878458"}, {"ref": "dfolve/memecoin", "kernel_id": "80494834"}, {"ref": "omerabdelmoneim/extracting-features-from-chunks", "kernel_id": "80873154"}, {"ref": "xiaoleilian/sss2025-cat-lgb", "kernel_id": "80915173"}, {"ref": "purnamaridzkynugraha/predict-with-xgb-get-loss-0-003", "kernel_id": "80509066"}, {"ref": "haninimbarek/blended-stacking-with-catboost-xgb-rf", "kernel_id": "80625180"}, {"ref": "dremovd/check-train-test-dataset-vs-swaps", "kernel_id": "81012835"}, {"ref": "shemskurtoglu/sss2025-add-feature-with-only-catboost", "kernel_id": "81416817"}, {"ref": "gleb270/slot-min-and-created-timestamp-overview", "kernel_id": "81885678"}, {"ref": "stpeteishii/solana-chunks-feature-lgbmregressor", "kernel_id": "81921206"}, {"ref": "stpeteishii/memcoin-slot-graduated-visualize-importance", "kernel_id": "81126949"}, {"ref": "mos3santos/teste-solana-skill-sprint", "kernel_id": "81116400"}, {"ref": "akandeboluwatife/solgx", "kernel_id": "81010867"}, {"ref": "mr0106/pf-gpx", "kernel_id": "81934475"}, {"ref": "mr0106/predx", "kernel_id": "81912510"}, {"ref": "keakohv/slot-min-and-created-timestamp-overview-plots", "kernel_id": "81903696"}, {"ref": "sandeepsharma94169/pump-fun-graduate-prediction-starter", "kernel_id": "81431202"}, {"ref": "robertyulanov/mememoneta", "kernel_id": "81743444"}, {"ref": "menazzz/mnzsln", "kernel_id": "81487093"}, {"ref": "nikitazholobov/solanaa", "kernel_id": "81155388"}, {"ref": "pr0va1der2/notebook1fbbd36042", "kernel_id": "81407106"}, {"ref": "yasomy/sonara", "kernel_id": "81273489"}, {"ref": "nikita7364777/solana-boosting-meta-model-lb-0-320", "kernel_id": "81832085"}, {"ref": "omerabdelmoneim/memcoin-graduation", "kernel_id": "81330012"}, {"ref": "kingkcabir/solana-skills-print", "kernel_id": "81362010"}, {"ref": "thechriscen/predicting-pump-fun-token-graduation", "kernel_id": "81310175"}, {"ref": "ramazanturann/sss2025-cat-lgb", "kernel_id": "81594819"}, {"ref": "mo7amedsabry/pumpfun-part1", "kernel_id": "81949506"}, {"ref": "mo7amedsabry/pumpfun-part2-loss-0-0465", "kernel_id": "81952011"}, {"ref": "haninimbarek/solana-catboost", "kernel_id": "81918054"}, {"ref": "theonetheonly/fork-of-notebookf48321997f", "kernel_id": "81310685"}, {"ref": "theonetheonly/conformer", "kernel_id": "81605270"}, {"ref": "zeynepuuz/solana-pump-fun-tokens", "kernel_id": "81222559"}, {"ref": "debianeni/mney-money-money", "kernel_id": "81276230"}, {"ref": "abduraaahim/solana-skill-sprint", "kernel_id": "81492811"}, {"ref": "mustafaammarr/extracting-features-from-chunks", "kernel_id": "81935165"}, {"ref": "mustafaammarr/memecoin-prediction", "kernel_id": "81937850"}, {"ref": "dremovd/leak-solution-full-dataset", "kernel_id": "82529476"}, {"ref": "dremovd/leak-solution-shorter-test", "kernel_id": "82529613"}, {"ref": "gleb270/simple-lstm-example", "kernel_id": "82064130"}, {"ref": "infoxix/solana", "kernel_id": "82714017"}, {"ref": "germankek/nlp-feature-engineering-for-token-metadata", "kernel_id": "82003840"}, {"ref": "robertyulanov/mememoneta05017fbd07", "kernel_id": "82934655"}, {"ref": "nadiatriki/sss-lstm-approach", "kernel_id": "82040145"}, {"ref": "kadircandrisolu/simplified-3rd-place-solution-sss", "kernel_id": "82451008"}, {"ref": "henrycavills/sosana", "kernel_id": "83473123"}, {"ref": "abhinavsharma0706/solana-cat-lgb", "kernel_id": "85858594"}, {"ref": "abhinavsharma0706/baseline-solana", "kernel_id": "85855762"}]}
{"competition_id": "97572", "kernels": []}
{"competition_id": "97589", "kernels": []}
{"competition_id": "97648", "kernels": []}
{"competition_id": "97652", "kernels": []}
{"competition_id": "97669", "kernels": [{"ref": "kachallenges/dl-deberta-x-small-baseline-cv-79-lb-82", "kernel_id": "79613478"}, {"ref": "kachallenges/logistic-regression-baseline-cv-77-lb-76", "kernel_id": "79611305"}, {"ref": "yeoyunsianggeremie/baseline-modernbert-predict-4-8-labels", "kernel_id": "80656298"}, {"ref": "valentinemwai/classifying-math-problems-svm", "kernel_id": "80782992"}, {"ref": "asalhi/zero-shot-math-qs-classification-qwen-and-vllm", "kernel_id": "80643765"}, {"ref": "asalhi/demo-train-your-own-tokenizer-cv-lb", "kernel_id": "80690694"}, {"ref": "garrickchinnis/classifying-math-problems-autogluon", "kernel_id": "80867424"}, {"ref": "bushradajam/math-classify", "kernel_id": "80753842"}, {"ref": "abdeenmohialdeen/kachallenges-lstm", "kernel_id": "80979408"}, {"ref": "laytharfaoui/fork-of-notebook8c529da32b", "kernel_id": "80913800"}, {"ref": "sadettinamilverdil/classifying-math-questions-with-deberta", "kernel_id": "80984211"}, {"ref": "ahmedsamir1598/kachallenges-lr-with-math-stop-words", "kernel_id": "80528998"}, {"ref": "ahmedsamir1598/kachallenges-catboost-with-mathbert", "kernel_id": "80528627"}, {"ref": "ahmedsamir1598/kachallenges-mathbert", "kernel_id": "80525136"}, {"ref": "krabhijeet/math-problems-classification", "kernel_id": "81889132"}, {"ref": "shionao7/kac-qwen2-5-32b-only-use-test-data", "kernel_id": "81152613"}, {"ref": "garrickchinnis/xgboost-nlp-classifying-math-problems", "kernel_id": "81468496"}, {"ref": "hemalone/math-problem-classification-lgbm", "kernel_id": "81238499"}, {"ref": "mohamedayman12/classifying-maths", "kernel_id": "81229857"}, {"ref": "prudhvirajuchekuri/kachallenges-llama-3-2-1b", "kernel_id": "81898020"}, {"ref": "prudhvirajuchekuri/kachallenges-deberta-v3-base", "kernel_id": "81897377"}, {"ref": "prudhvirajuchekuri/kachallenges-t5", "kernel_id": "81874485"}, {"ref": "prudhvirajuchekuri/kachallenges-ensemble", "kernel_id": "81924792"}, {"ref": "tahaalshatiri/notebooke6e26fef2f", "kernel_id": "81299920"}, {"ref": "tahaalshatiri/x-small-deberta-baseline-924d8b", "kernel_id": "81468402"}, {"ref": "labeebadam/kasut-challenge-mathbert", "kernel_id": "81777461"}, {"ref": "renadzxs/notebookfde380e99c", "kernel_id": "81936277"}, {"ref": "deshadsithsara/nlp-comp-1-math", "kernel_id": "81496477"}, {"ref": "warikanori/math-problem-classifier", "kernel_id": "81639991"}, {"ref": "akhilsangaonkar/distilbert-tiny-model-big-performance-lora", "kernel_id": "82495868"}, {"ref": "kkhandekar/classifying-math-problems-randomforest-cv", "kernel_id": "82449373"}, {"ref": "naifmersal/create-data", "kernel_id": "82650283"}, {"ref": "naifmersal/math-topic-classification-using-llm-score-91-29", "kernel_id": "82652368"}, {"ref": "naifmersal/prepare-data", "kernel_id": "82652982"}, {"ref": "ducnh279/kacs1-offline-inference", "kernel_id": "82647681"}, {"ref": "ducnh279/kacs1-fine-tuning-qwen2-5-14b", "kernel_id": "82647479"}, {"ref": "ducnh279/kacs1-fine-tuning-qwen3-14b", "kernel_id": "82646983"}, {"ref": "ferasoo/7th-solution", "kernel_id": "82754929"}, {"ref": "kristiangohibi/kachallenges-series-1-classifying-math-problems", "kernel_id": "82339943"}, {"ref": "bushradajam/math-classify-2", "kernel_id": "82843461"}, {"ref": "xiejinfeng5/kac-series1-mathbert-in-pytorch-using-p100", "kernel_id": "82461958"}, {"ref": "pradeeplachireddy/lstm-nlp-math-classification", "kernel_id": "82635149"}, {"ref": "denvermagtibay/classifying-math-problems-ensemble", "kernel_id": "82592173"}, {"ref": "denvermagtibay/classifying-math-problems-using-mathbert-4", "kernel_id": "82477209"}, {"ref": "denvermagtibay/classifying-math-problems-3", "kernel_id": "82395956"}, {"ref": "denvermagtibay/classifying-math-problems-2", "kernel_id": "82252173"}, {"ref": "denvermagtibay/classifying-math-problems-1", "kernel_id": "82226495"}, {"ref": "lamaalsulamy/classifying-math-problems-with-scibert-embeddings", "kernel_id": "82197580"}, {"ref": "tahaalshatiri/notebook8c99a739c2", "kernel_id": "82294269"}, {"ref": "tahaalshatiri/notebookbc935e82db", "kernel_id": "82277423"}, {"ref": "tahaalshatiri/notebookd3e3a58e5d", "kernel_id": "82600847"}, {"ref": "aleaiest/kac-qwen3-32b-finetuning", "kernel_id": "82497821"}, {"ref": "aleaiest/bge-reranker-v2-m3", "kernel_id": "82705965"}, {"ref": "aleaiest/3rd-qwen2-5-32b-train-quantization-code", "kernel_id": "82725593"}, {"ref": "monkmode1/ka-classifier", "kernel_id": "82631695"}, {"ref": "halaturkialotaibi/kachallenges-series-1-classifying-math-problems-1", "kernel_id": "82410612"}, {"ref": "halaturkialotaibi/kachallenges-series-1-classifying-math-problems-2", "kernel_id": "82413335"}, {"ref": "ruhul20/math-classify-torch", "kernel_id": "82419537"}, {"ref": "binabbas/qwen3-0-6b-llrd-wceloss-lb-0-8970", "kernel_id": "82663590"}, {"ref": "binabbas/qwen2-5math-1-5b-3epochs-lb-0-9", "kernel_id": "82664234"}, {"ref": "binabbas/qwen3-1-7b-llrd-lb-0-8965", "kernel_id": "82663938"}, {"ref": "binabbas/qwen2-5math-7b-lb-9049", "kernel_id": "82664091"}, {"ref": "binabbas/model-ensembling-lb-0-9154", "kernel_id": "82664760"}, {"ref": "binabbas/qwen2-5math-pseudo-labeled-data-lb-9054", "kernel_id": "82664420"}, {"ref": "binabbas/qwen3-0-6b-llrd-lb-0-8980", "kernel_id": "82664631"}, {"ref": "raghadbaselm/classifying-math-problems-nlp", "kernel_id": "82293578"}, {"ref": "dataaddict71/math-classification-nlp", "kernel_id": "83176244"}, {"ref": "gautamgsk009/first-nlp-project", "kernel_id": "83673017"}, {"ref": "ltgbao04/train-ddp", "kernel_id": "83035577"}, {"ref": "warikanori/data-analysis-in-math-text-problems", "kernel_id": "83424876"}, {"ref": "thameralharbi/subtask-2-authorship-identification-baseline-gpus", "kernel_id": "87423634"}, {"ref": "caohuyenmy/commute-multi-thread", "kernel_id": "90849745"}, {"ref": "ltrngialc/l4-aic-fusion", "kernel_id": "91427369"}, {"ref": "caohuyenmy/n0-commute-1", "kernel_id": "91567828"}, {"ref": "caohuyenmy/n0-commute", "kernel_id": "91526999"}, {"ref": "caohuyenmy/commute-m", "kernel_id": "91769075"}, {"ref": "pedjamy/beta-commute", "kernel_id": "91577448"}, {"ref": "pedjamy/commute-multi-thread", "kernel_id": "91335824"}, {"ref": "huyenmy173/commute-m", "kernel_id": "91500910"}, {"ref": "ltrngialc/vllm-4gpu-xbai04-4bit", "kernel_id": "92322842"}, {"ref": "jakeclark38a/vllm-server-network", "kernel_id": "92330980"}, {"ref": "pedjamy/nkptlasso", "kernel_id": "95111841"}]}
{"competition_id": "97671", "kernels": []}
{"competition_id": "97690", "kernels": []}
{"competition_id": "97691", "kernels": []}
{"competition_id": "97694", "kernels": []}
{"competition_id": "97697", "kernels": []}
{"competition_id": "97700", "kernels": [{"ref": "mec7037/notebook3f57bd99db", "kernel_id": "79663451"}]}
{"competition_id": "97707", "kernels": []}
{"competition_id": "97713", "kernels": []}
{"competition_id": "97716", "kernels": []}
{"competition_id": "97717", "kernels": []}
{"competition_id": "97772", "kernels": [{"ref": "pastorsoto/heartdisease2025-starter-notebook", "kernel_id": "81463970"}, {"ref": "jihangchen/heart-disease-prediction", "kernel_id": "81202524"}, {"ref": "ravi20076/heartdisease2025-baseline-v1", "kernel_id": "81319833"}, {"ref": "ravi20076/heartdisease2025-public-imports", "kernel_id": "81319910"}, {"ref": "estherbergen/heart-disease-prediction", "kernel_id": "81590039"}, {"ref": "okeyobinna/heart-disease-risk-prediction-model", "kernel_id": "81948757"}, {"ref": "trishanwagle/heart-disease-prediction", "kernel_id": "81559585"}, {"ref": "rafaeldrago/xgboost-heart-diesease-classification", "kernel_id": "81075766"}, {"ref": "mohdnematullah/heart-disease-prediction", "kernel_id": "82097605"}, {"ref": "hwkims/notebook83439bcf19", "kernel_id": "82139900"}, {"ref": "khusilama/heartdiseaseprediction", "kernel_id": "82338848"}, {"ref": "haliburton/heart-disease-prediction-eda-ensemble", "kernel_id": "82203270"}, {"ref": "lishuo666/the-impact-of-social-media-on-mental-health", "kernel_id": "90683692"}, {"ref": "jmtan0/heart-disease-prediction", "kernel_id": "91262112"}, {"ref": "t8101349/heart-disease-prediction", "kernel_id": "118963909"}]}
{"competition_id": "97786", "kernels": []}
{"competition_id": "97795", "kernels": []}
{"competition_id": "97799", "kernels": []}
{"competition_id": "97803", "kernels": [{"ref": "gamerahad/predicting-customer-churn-in-banks-using-ml-dl", "kernel_id": "95610491"}]}
{"competition_id": "97810", "kernels": [{"ref": "diaaessam/language-identification-from-audio", "kernel_id": "122940900"}, {"ref": "diaaessam/language-identification-raw-wave-transformer", "kernel_id": "124652131"}, {"ref": "diaaessam/language-identification-pure-pytorch-raw-wavs", "kernel_id": "124556986"}]}
{"competition_id": "97815", "kernels": []}
{"competition_id": "97821", "kernels": []}
{"competition_id": "97822", "kernels": []}
{"competition_id": "97823", "kernels": [{"ref": "markusrenepae/starter-notebook", "kernel_id": "80783347"}]}
{"competition_id": "97837", "kernels": [{"ref": "mdjoynal123/object-detect", "kernel_id": "88451176"}, {"ref": "nguyenhoangminhquan/notebookb39f025179", "kernel_id": "93554869"}]}
{"competition_id": "97838", "kernels": [{"ref": "rollas/skin-cancer-segmentation-with-custom-unet-arch", "kernel_id": "85853837"}, {"ref": "shortyrex/unet-for-skin-segmentation", "kernel_id": "90702773"}]}
{"competition_id": "97850", "kernels": []}
{"competition_id": "97851", "kernels": [{"ref": "t8101349/gene-expression-and-biological-age", "kernel_id": "80859007"}]}
{"competition_id": "97871", "kernels": []}
{"competition_id": "97887", "kernels": []}
{"competition_id": "97901", "kernels": []}
{"competition_id": "97916", "kernels": []}
{"competition_id": "97932", "kernels": []}
{"competition_id": "97937", "kernels": []}
{"competition_id": "97938", "kernels": []}
{"competition_id": "97945", "kernels": []}
{"competition_id": "97946", "kernels": []}
{"competition_id": "97984", "kernels": [{"ref": "bjoernjostein/ecg-digitization-challenge-eda", "kernel_id": "95977293"}, {"ref": "mpwolke/allegedly-ecg-signals", "kernel_id": "95971227"}, {"ref": "wguesdon/simple-eda", "kernel_id": "95973378"}, {"ref": "wguesdon/image-analysis", "kernel_id": "95974845"}, {"ref": "antonoof/ecg-clear-code-fastmeandenoising", "kernel_id": "95975641"}, {"ref": "antonoof/large-eda-and-statistical-model", "kernel_id": "95988355"}, {"ref": "hengck23/3-4-stage2-unet-segmentation-for-wave-series", "kernel_id": "96834210"}, {"ref": "pashaalex/yet-another-ecg-augmentor-with-point-mapping", "kernel_id": "96665559"}, {"ref": "justmalhar/physionet", "kernel_id": "96210212"}, {"ref": "rkuo2000/ecg-digitization-physionet-v2", "kernel_id": "96132085"}, {"ref": "keitano/ecg-digitization-grid-detection-waveform-extra", "kernel_id": "96628476"}, {"ref": "pondelion/physionet-rule-based-sample", "kernel_id": "96081849"}, {"ref": "stpeteishii/ecg-data-view", "kernel_id": "96788069"}, {"ref": "stpeteishii/digitizing-waveform-from-ecg-image-wo-training", "kernel_id": "96942355"}, {"ref": "tasmim/ecg-digitization-training-pipeline", "kernel_id": "96345479"}, {"ref": "tasmim/eda-physionet-ecg-digitization", "kernel_id": "96047493"}, {"ref": "dedquoc/physionet-score-0-15", "kernel_id": "96390504"}, {"ref": "qarisb/physionet-ecg-image-digitization-time-series", "kernel_id": "96680049"}, {"ref": "qarisb/physionet-ecg-reconstruction-without-ml", "kernel_id": "96717677"}, {"ref": "jirkaborovec/digitize-ecg-eda-visualizations", "kernel_id": "96717136"}, {"ref": "evanoleary/ecg-digitization-u-net-preprocess-fails", "kernel_id": "96924228"}, {"ref": "evanoleary/ecg-comp-resnet-32-fails-on-fit", "kernel_id": "96582936"}, {"ref": "hanifnoerrofiq/einthoven-s-law-a-beginners-guide", "kernel_id": "96613641"}, {"ref": "ambrosm/ecg-original-explained-baseline", "kernel_id": "96701344"}, {"ref": "seowoohyeon/physonet-digitzation", "kernel_id": "96342074"}, {"ref": "seowoohyeon/physionet-adjust", "kernel_id": "96804650"}, {"ref": "taylorsamarel/v3-physionet-ecg-image-digitization", "kernel_id": "96576046"}, {"ref": "taylorsamarel/v2-physionet-digitization-of-ecg-images", "kernel_id": "96007902"}, {"ref": "aheersrabon/physionet-digitization-of-ecg-images-doing-eda", "kernel_id": "96214473"}, {"ref": "marylka/ecg-restore-signal-from-image-wip", "kernel_id": "96092959"}, {"ref": "sasaleaf/edge-fix-small-improvement", "kernel_id": "96791973"}, {"ref": "quantumarya/physionet-1", "kernel_id": "96464660"}, {"ref": "eliasstenhede/open-ecg-digitizer", "kernel_id": "96988261"}, {"ref": "krajasekhar1410/ecg-signal-reconstruction-pipeline", "kernel_id": "96799401"}, {"ref": "guntasdhanjal/ecg-image-digitization-complete-eda", "kernel_id": "96086556"}, {"ref": "guntasdhanjal/ecg-digitization-signal-smoothing-enhancement", "kernel_id": "96918360"}, {"ref": "asjsubhan/ecg-image-to-digital-signal-starter", "kernel_id": "96238853"}, {"ref": "gagandeep44489/digitization-of-ecg-images-bygagan", "kernel_id": "96169220"}, {"ref": "abdullah0a/ecg-digitization-image-to-signal-reconstruction", "kernel_id": "96206342"}, {"ref": "abdullah0a/eda-ecg-image-digitization-upvote", "kernel_id": "96094109"}, {"ref": "shubhangkarsaha/ecg-digitization-experiments", "kernel_id": "96427364"}, {"ref": "rudraprasadbhuyan/ecg-p0-understand-the-problem", "kernel_id": "96548462"}, {"ref": "osman0/physionet-ecg-data-exploration-and-visualization", "kernel_id": "96384703"}, {"ref": "esezeta/01-eda-physionet-ecg", "kernel_id": "96249235"}, {"ref": "esezeta/02-baseline-ecg-extraction", "kernel_id": "96251118"}, {"ref": "viveksawalkar/notebooka93af6c97d", "kernel_id": "96189542"}, {"ref": "dimpimittal/physionet-ecg-digitization", "kernel_id": "96557419"}, {"ref": "vikas23f1001674/ecg-digitization", "kernel_id": "96609045"}, {"ref": "barathanaslan/signaldetectoryolo", "kernel_id": "96792220"}, {"ref": "llkh0a/physionet-catboost", "kernel_id": "96343711"}, {"ref": "dhevesharun/dhevesh-ecg", "kernel_id": "96936082"}, {"ref": "ruhul20/eda-and-ecg-image-extraction-with-custom-cnn", "kernel_id": "96076197"}, {"ref": "gildasedoh/ecg-dl-training", "kernel_id": "96722625"}, {"ref": "ermecan/physionet-digitization-of-ecg-images", "kernel_id": "96078706"}, {"ref": "deokjongmoon/physionet-2025-eda-image-wise", "kernel_id": "96519304"}, {"ref": "olaflundstrom/physionet-ecg-g-r-nt-lerinden-zaman-serisi-karma", "kernel_id": "96097840"}, {"ref": "olaflundstrom/physionet-digitization-of-ecg-images-notebook", "kernel_id": "96078175"}, {"ref": "mdnaimislam165436/ecg-signal-template-blending-for-physionet-challen", "kernel_id": "96396964"}, {"ref": "shlokkumar2303/physionet", "kernel_id": "96538061"}, {"ref": "khai42/physionet-model-score-0-16", "kernel_id": "96274221"}, {"ref": "bidyutsarkar/ecg-images-ofsubmission-csv", "kernel_id": "96101475"}, {"ref": "nina2025/physionet-first-glance", "kernel_id": "96251147"}, {"ref": "sunnynguyensanjoseca/data-exploration-and-statistical-modeling-overview", "kernel_id": "96163701"}, {"ref": "daanishd20/notebook43e5817eca", "kernel_id": "96234224"}, {"ref": "cursor88/ecg-images-idea", "kernel_id": "96127473"}, {"ref": "aeinnabhi/python", "kernel_id": "96183786"}, {"ref": "adrienthomas/mathamatics", "kernel_id": "96129007"}, {"ref": "kanagaselvarasu/notebookb311ba3f51", "kernel_id": "96116765"}, {"ref": "ssahil123s/ecg-waveform-and-images-v2", "kernel_id": "96097455"}, {"ref": "prudhvisai09/notebook2933c41f51", "kernel_id": "96603175"}, {"ref": "hengck23/1-4-example-of-annotated-grid-point-data", "kernel_id": "97462141"}, {"ref": "hengck23/2-4-stage1-unet-segmentation-for-rectify-image", "kernel_id": "97849916"}, {"ref": "alejopaullier/physionet-image-multi-class-train", "kernel_id": "97260143"}, {"ref": "pawanmali/ecg-u-net-inference-notebook", "kernel_id": "97547274"}, {"ref": "jocelyndumlao/physionet-ecg-image-signal-extraction-baseline", "kernel_id": "97210734"}, {"ref": "sacuscreed/metric", "kernel_id": "97158816"}, {"ref": "amalsp220/ecg-emergency-classification-ai-lifesaver-adaptat", "kernel_id": "97061857"}, {"ref": "guntasdhanjal/ecg-digitization-multi-resolution-lb-1-59", "kernel_id": "97395304"}, {"ref": "harshitakumari256/notebook326270639d", "kernel_id": "97856781"}, {"ref": "mdsouroveakthermomin/ecg-images-sourove", "kernel_id": "97126445"}, {"ref": "koushikkumardinda/physionet-digitization-of-ecg-images", "kernel_id": "97252997"}, {"ref": "dimpimittal/physionet-ecg-image-digitizer", "kernel_id": "97590276"}, {"ref": "easterndundrey/physionet-deprecated", "kernel_id": "97037679"}, {"ref": "vinothkumarsekar89/physionet-a-simple-cnn-baseline", "kernel_id": "97516892"}, {"ref": "gauravparkhedkar/89th-position-18-37-score", "kernel_id": "97201349"}, {"ref": "jsganesh/ecg-id3", "kernel_id": "97180661"}, {"ref": "cochranj/ecg-drs", "kernel_id": "97127330"}, {"ref": "lokeshreddyporeddy/main-py", "kernel_id": "97097915"}, {"ref": "hengck23/4-4-placeholder-unet-direct-regression-loss", "kernel_id": "98031574"}, {"ref": "evanoleary/alexandria-physionet-digitization-of-ec-466772", "kernel_id": "98357328"}, {"ref": "gowrishankarp/ecg-interpretation", "kernel_id": "98841912"}, {"ref": "harshitakumari256/notebook171362c95a", "kernel_id": "98935316"}, {"ref": "osman0/ecg-image-digitization", "kernel_id": "98045541"}, {"ref": "easterndundrey/experimenting-with-gaussian-smoothing-on-open-ecg", "kernel_id": "98301168"}, {"ref": "vacantdaniel/danielfowler-v4", "kernel_id": "98848964"}, {"ref": "sunnynguyensanjoseca/physionet-ecg-digitizer", "kernel_id": "98243348"}, {"ref": "alexandremoritz/ecg-grid-detection", "kernel_id": "99658802"}, {"ref": "alexandremoritz/wip-find-grid-position-using-harris-corner", "kernel_id": "99726666"}, {"ref": "adilshamim8/frozen-voltage-cnn", "kernel_id": "99697003"}, {"ref": "jsganesh/ecgd-le-diag-py", "kernel_id": "99233242"}, {"ref": "livinvijivarghese/notebook703e81f0a5", "kernel_id": "99860894"}, {"ref": "hengck23/demo-submission", "kernel_id": "100139252"}, {"ref": "seshurajup/henkgck-submission-v4-credits-to-hengck", "kernel_id": "100601300"}, {"ref": "evanoleary/physionet-digitization-ecg-fix-eda", "kernel_id": "100448096"}, {"ref": "harshitakumari256/notebook124aa192b0", "kernel_id": "100128565"}, {"ref": "tonylica/physionet-ecg-streamlined-inference", "kernel_id": "100937854"}, {"ref": "lokeshreddyporeddy/physionet-digitization-of-ecg-images", "kernel_id": "100717936"}, {"ref": "lokeshreddyporeddy/ecgmv2", "kernel_id": "100703496"}, {"ref": "letitiacowell/alexandria-competition-physionet-ecg-imag-319748", "kernel_id": "100796466"}, {"ref": "abineshuv/physionet-digitization-of-ecg-images", "kernel_id": "100241289"}, {"ref": "liamarden/ecg-digitization-and-noise-stabilized-submission", "kernel_id": "100594891"}, {"ref": "piquer/notebook3b9a93f2c6", "kernel_id": "100568672"}, {"ref": "evanoleary/alexandria-competition-physionet-ecg-imag-506613", "kernel_id": "101355321"}, {"ref": "davidlist/demo-submission-validation-framework", "kernel_id": "101239648"}, {"ref": "worung/preprocessing-baseline", "kernel_id": "101425803"}, {"ref": "vhdrostami/ecg-digitization-cnn-v1", "kernel_id": "102679672"}, {"ref": "tapasb/physionet-ecg-auto-submit", "kernel_id": "102292353"}, {"ref": "tapasb/physionet-ecg-iter1-1763938881", "kernel_id": "102293133"}, {"ref": "tapasb/physionet-ecg-iter2-1763938951", "kernel_id": "102293184"}, {"ref": "tapasb/physionet-ecg-iter3-1763939020", "kernel_id": "102293222"}, {"ref": "tapasb/physionet-ecg-iter6-1763939229", "kernel_id": "102294260"}, {"ref": "tapasb/physionet-ecg-iter7-1763939301", "kernel_id": "102294384"}, {"ref": "tapasb/physionet-ecg-iter8-1763939370", "kernel_id": "102294445"}, {"ref": "tapasb/physionet-ecg-iter4-1763939091", "kernel_id": "102293260"}, {"ref": "tapasb/physionet-ecg-iter5-1763939160", "kernel_id": "102293397"}, {"ref": "tapasb/physionet-ecg-iter9-1763939447", "kernel_id": "102294488"}, {"ref": "tapasb/physionet-ecg-iter10-1763939523", "kernel_id": "102294591"}, {"ref": "tapasb/physionet-ecg-iter11-1763939592", "kernel_id": "102294661"}, {"ref": "tapasb/physionet-ecg-iter12-1763939662", "kernel_id": "102294711"}, {"ref": "tapasb/physionet-ecg-iter13-1763939735", "kernel_id": "102294742"}, {"ref": "tapasb/physionet-ecg-iter14-1763939804", "kernel_id": "102294846"}, {"ref": "wasupandceacar/physio-v2-2-public", "kernel_id": "102982693"}, {"ref": "kuriangeorge/demo-submission-validation-framework", "kernel_id": "102425620"}, {"ref": "fuxiangting/demo-submission-validation-framework", "kernel_id": "102853545"}, {"ref": "tomoon33/physionet-packages", "kernel_id": "102204186"}, {"ref": "harshitakumari256/finetuning-mobilenet-stage0", "kernel_id": "102384745"}, {"ref": "worenne/team-work", "kernel_id": "102576469"}, {"ref": "janicelew/notebook2e60110101", "kernel_id": "102923655"}, {"ref": "tvmilitary/physionet-digitization-of-ecg-images-6cell-starter", "kernel_id": "102776261"}, {"ref": "keitano/ecg-digitization-griddetection-waveformextraction", "kernel_id": "103931233"}, {"ref": "pondelion/physionet-2unet-signal-extraction-model", "kernel_id": "103699332"}, {"ref": "wasupandceacar/physio-v2-3-public", "kernel_id": "103833743"}, {"ref": "harsha1215/physionet-01", "kernel_id": "103458993"}, {"ref": "davidlist/understanding-hengck23-s-stage0", "kernel_id": "103518275"}, {"ref": "pranavwankhade/ok-mic-testing", "kernel_id": "103159338"}, {"ref": "karolinajonczyk/physionet-unet-training-v2", "kernel_id": "103882198"}, {"ref": "ravnoorsingh101/unet-pipeline", "kernel_id": "103610811"}, {"ref": "sanjidh090/may-the-best-man-win", "kernel_id": "103616302"}, {"ref": "rahula7237/ecg-ditilization", "kernel_id": "103213599"}, {"ref": "kckatze/physionet-w-fast-ai", "kernel_id": "103663043"}, {"ref": "smirajaitley/notebook3dd13d5aad", "kernel_id": "103566836"}, {"ref": "adrianosayegdeluca/eda-ecg", "kernel_id": "103122091"}, {"ref": "dimpalyadav29/physionet-digitization", "kernel_id": "103490818"}, {"ref": "abarnica/physionet-2025-model-training-eval", "kernel_id": "103812198"}, {"ref": "abarnica/physionet-2025-timeseries-data-work", "kernel_id": "103817410"}, {"ref": "lokeshreddyporeddy/physionet-v2", "kernel_id": "103744706"}, {"ref": "vaishnavak001/physionet-multi-agent-digitization-system-1-0", "kernel_id": "103280382"}, {"ref": "vaishnavak001/physionet-ecg-digitization-guardian-ops-mas", "kernel_id": "103250332"}, {"ref": "keitano/ecgdigitizationcenterlineextraction-v1-v4-comp", "kernel_id": "104748238"}, {"ref": "yasunorim/physionet-ecg-baseline", "kernel_id": "104424074"}, {"ref": "mahmoudabdshafy/open-ecg-digitizerv4", "kernel_id": "104040838"}, {"ref": "aadu21/notebookb407a2b85d", "kernel_id": "104733499"}, {"ref": "haokehan/12-17-infference", "kernel_id": "104735189"}, {"ref": "bassantabdelnaby/team4-ieee-3e766f", "kernel_id": "104912587"}, {"ref": "bassantabdelnaby/tteam", "kernel_id": "104865546"}, {"ref": "gkesukesavan/ecg-image-digitization", "kernel_id": "104990879"}, {"ref": "sanjidh090/visual-huh", "kernel_id": "104015987"}, {"ref": "romantamrazov/phisionet-lb-17-97", "kernel_id": "104883535"}, {"ref": "vaishnavak001/physionet-ecg-image-digitization-competition-sol", "kernel_id": "104371620"}, {"ref": "vaishnavak001/physionet-multi-agent-digitization-system-3-0", "kernel_id": "104112914"}, {"ref": "vaishnavak001/physionet-multi-agent-digitization-system-4-0", "kernel_id": "104124687"}, {"ref": "vaishnavak001/physionet-multi-agent-digitization-system-5-0", "kernel_id": "104127516"}, {"ref": "vaishnavak001/physionet-unified-dl-digitization-system-6-0", "kernel_id": "104130451"}, {"ref": "vaishnavak001/physionet-cognitive-digitization-system-7-0", "kernel_id": "104133703"}, {"ref": "vaishnavak001/physionet-multi-agent-digitization-system-2-0", "kernel_id": "104134036"}, {"ref": "keitano/ecg-digitization-processing-baselinesubtraction-ve", "kernel_id": "105780792"}, {"ref": "keitano/ecgdigitizationcenterlineextraction-v1-v4-comp-v2", "kernel_id": "105103937"}, {"ref": "keitano/ecg-digitization-v4-post-processing", "kernel_id": "105136472"}, {"ref": "zoetsekas/ecg-image-digitization", "kernel_id": "105560690"}, {"ref": "pushpakbhoge/ecg-graph-detection", "kernel_id": "105539776"}, {"ref": "henrychibueze/get-csv-files", "kernel_id": "105573475"}, {"ref": "lauvfpitipak/digitization-of-ecg-images-v-1", "kernel_id": "105961046"}, {"ref": "zaakciiru/physionet-qwen-image-edit-2509-comfyui-without-ui", "kernel_id": "105072630"}, {"ref": "sheikhrehanaslam/train-model", "kernel_id": "105476440"}, {"ref": "sheikhrehanaslam/submission-test", "kernel_id": "105638799"}, {"ref": "mahmoudabdshafy/open-ecg-digitizerv6", "kernel_id": "105210712"}, {"ref": "mahmoudabdshafy/open-ecg-digitizerv5", "kernel_id": "105000867"}, {"ref": "mahmoudabdshafy/open-ecg-digitizerv7", "kernel_id": "105932584"}, {"ref": "ibrahimakhan/notebook1a83eb8f26", "kernel_id": "105832758"}, {"ref": "radwankhondokar/physionet-17-87", "kernel_id": "105554785"}, {"ref": "antonoof/17-96-score-ecg-split-denoise", "kernel_id": "105895391"}, {"ref": "ahmed1harfoush/vizionet-ecg-image-digitization-and-prediction", "kernel_id": "105193757"}, {"ref": "shubhamsahu2003/17-91-score-ecg-split-denoise", "kernel_id": "105921189"}, {"ref": "alperenaslann/ecg-fastmeandenoising", "kernel_id": "105482182"}, {"ref": "sanjidh090/vibe-matching-tryout-physionet", "kernel_id": "105594291"}, {"ref": "fawadawan/physionet-25-ecg-image-time-series-signal", "kernel_id": "105547606"}, {"ref": "harreeshnarain/notebookadf420ad3e", "kernel_id": "105403052"}, {"ref": "romantamrazov/psyhionet-lb-17-96", "kernel_id": "105900700"}, {"ref": "romantamrazov/phisionet-lb-17-971", "kernel_id": "105045578"}, {"ref": "ninja2005/pnecg-notebook", "kernel_id": "105106521"}, {"ref": "hmnshudhmn24/physionet-digitization-of-ecg-images", "kernel_id": "105187743"}, {"ref": "shahriarkamal041/notebook24ced8e20c", "kernel_id": "105243169"}, {"ref": "bbobwayne/physionet-ecg-wayneia-v5-optimized", "kernel_id": "105725715"}, {"ref": "cohiniadang/ecg-digitizer-v3", "kernel_id": "105698029"}, {"ref": "cagrickr/physionet-ecg-digitization-baseline-approach", "kernel_id": "105721667"}, {"ref": "keitano/ecg-digitization-test-withbaselinesignal", "kernel_id": "106369698"}, {"ref": "sanpier/visual-qa-for-all-stages-of-ecg-digitization", "kernel_id": "106396555"}, {"ref": "ymuroya47/physionet-ecg-unet-training", "kernel_id": "106046646"}, {"ref": "ymuroya47/physionet-ecg-baseline", "kernel_id": "106045289"}, {"ref": "ymuroya47/ecg-baseline-offline-v4", "kernel_id": "106213600"}, {"ref": "ymuroya47/ecg-baseline-offline-v5", "kernel_id": "106265363"}, {"ref": "ymuroya47/ecg-baseline-offline-v3", "kernel_id": "106168477"}, {"ref": "ymuroya47/ecg-custom-offline", "kernel_id": "106167324"}, {"ref": "ymuroya47/ecg-baseline-offline-v7", "kernel_id": "106333789"}, {"ref": "ymuroya47/ecg-baseline-offline-v9", "kernel_id": "106373699"}, {"ref": "ymuroya47/ecg-baseline-offline-v10", "kernel_id": "106374524"}, {"ref": "smartmanoj/physionet-ecg-digitization-cv", "kernel_id": "106473183"}, {"ref": "henrychibueze/synthesize-ecg-samples", "kernel_id": "106458954"}, {"ref": "rishabhbhartiya/physionet-ecg", "kernel_id": "106041049"}, {"ref": "sheikhrehanaslam/train-model-ecg-input", "kernel_id": "106665940"}, {"ref": "mohamedwaleed13/digitization-of-ecg-images", "kernel_id": "106333701"}, {"ref": "davidlist/inference-3", "kernel_id": "106364874"}, {"ref": "davidlist/high-res-label-generator-2x1", "kernel_id": "106566424"}, {"ref": "davidlist/stage-d-rectified-labels", "kernel_id": "106018565"}, {"ref": "sasaleaf/physionet-change-param", "kernel_id": "106080972"}, {"ref": "advaithks/adhyah", "kernel_id": "106932563"}, {"ref": "rajankumar47/model-zoo-ecg", "kernel_id": "106779028"}, {"ref": "zhengtengxiong/ecg-digitization", "kernel_id": "106655128"}, {"ref": "abhishekgodara/physionet-digitization-of-ecg-images", "kernel_id": "106856918"}, {"ref": "abhishekgodara/digitization-of-ecg-images", "kernel_id": "106239149"}, {"ref": "rohanrk1813/digitalization", "kernel_id": "106196283"}, {"ref": "antonoof/17-98-score-params-improve-hard-preprocess", "kernel_id": "106243740"}, {"ref": "mayuringle8890/shadow-proof-ecg-digitization-adaptive-thresholds", "kernel_id": "106787877"}, {"ref": "uparupaaa/boatrace-data", "kernel_id": "106100346"}, {"ref": "mondruanilkumar/ecg-inference-best-model", "kernel_id": "106987697"}, {"ref": "dishagarg60/notebookb6f8ab55da", "kernel_id": "106666782"}, {"ref": "trnhquangminh140/physionet-digitization-of-ecg-images-minh", "kernel_id": "106193201"}, {"ref": "avikdas567/digitization-of-ecg-images", "kernel_id": "106803603"}, {"ref": "anujjakhar2104/digitization-and-prediction-of-ecg-images", "kernel_id": "106527604"}, {"ref": "anujjakhar2104/psyhionet-ecg-images", "kernel_id": "106606962"}, {"ref": "channarongs/ecg-digitization", "kernel_id": "106024847"}, {"ref": "samyakrajbayar/digitization-ecg", "kernel_id": "106497543"}, {"ref": "abdulwahab2321/psyhionet-lb-17-96", "kernel_id": "106097271"}, {"ref": "abdulwahab2321/17-96-score-ecg-split-denoise", "kernel_id": "106084286"}, {"ref": "abdulwahab2321/digitization-of-ecg-images-v-1", "kernel_id": "106028941"}, {"ref": "abdulwahab2321/open-ecg-digitizerv7", "kernel_id": "106028866"}, {"ref": "caresment/physio-ecg-digitizer-v1", "kernel_id": "106782145"}, {"ref": "liuzhangzhen/ecg-liu-james-imanishi-ensemble-vfin", "kernel_id": "107584113"}, {"ref": "harshitsheoran/physionet-infer-v-final", "kernel_id": "107118679"}, {"ref": "arunodhayan/fork-of-esm-2x-full-and-half-submission-69b7f2", "kernel_id": "107577912"}, {"ref": "tobimichigan/sophisticated-ecg-image-digitization-pipeline", "kernel_id": "107636796"}, {"ref": "hirotetsu/physionet-submission-3rd-place", "kernel_id": "107285844"}, {"ref": "sanpier/lb-18-72", "kernel_id": "107270334"}, {"ref": "kirderf/physionet-98th-place-solution-training-inference", "kernel_id": "107664229"}, {"ref": "tagirkhairutdinov/bronze-ecg-digitization-fix-lengths-gating-lb", "kernel_id": "107188371"}, {"ref": "rifqihaikal/physionet-ecg-project", "kernel_id": "107579677"}, {"ref": "dangnh0611/5th-place-solution", "kernel_id": "107601601"}, {"ref": "sasaleaf/physionet-97th-place-solution-cleaning-image", "kernel_id": "107538957"}, {"ref": "sshiyu/physionet-final-submission", "kernel_id": "107635762"}, {"ref": "tomoon33/physionet-submission-4th-place", "kernel_id": "107732897"}, {"ref": "dzmitrypihulski/last-res-with-replacement", "kernel_id": "107277533"}, {"ref": "rudrpratapsingh/convnext-base-u-net-bidirectional-lstm", "kernel_id": "107618775"}, {"ref": "lakhindarpal/physionet-digitization-of-ecg-images", "kernel_id": "107274431"}, {"ref": "matsumotoarcade/ecg-digitization-quantum-inspired-boolean", "kernel_id": "107127211"}, {"ref": "raconcilio/notebook9d1143253f", "kernel_id": "107638602"}, {"ref": "raconcilio/n-260122-s2", "kernel_id": "107637088"}, {"ref": "martinijean/physionet-ecg-streamlined-inference", "kernel_id": "107111328"}, {"ref": "oneweiweiwei/ecg-oneway", "kernel_id": "107026087"}, {"ref": "sjtuwangshuo/physionet-final-submission-ensemble", "kernel_id": "108733368"}, {"ref": "takashisomeya/physionet-2nd-place-submission", "kernel_id": "108440548"}, {"ref": "hyeonseokseok/score-027-highest", "kernel_id": "108210702"}, {"ref": "zahouaniyacine/generate-pseudo-masks", "kernel_id": "111320881"}, {"ref": "tylerde/ecg-check-weights", "kernel_id": "112978339"}, {"ref": "zahouaniyacine/ecg-improved", "kernel_id": "112105151"}, {"ref": "tylerde/ecg1-preprocess", "kernel_id": "114964522"}, {"ref": "tylerde/ecg1-verify-overlay-all-batches", "kernel_id": "114927926"}, {"ref": "ravnoorsingh101/notebook95ad332f5c", "kernel_id": "115482306"}, {"ref": "gclling/ecg-transformer-based", "kernel_id": "115189319"}, {"ref": "gclling/ecg-transformer-based-submission", "kernel_id": "115314024"}, {"ref": "tylerde/ecg-sanity-check", "kernel_id": "115163212"}, {"ref": "tylerde/ecg3-submit", "kernel_id": "115084236"}, {"ref": "zahouaniyacine/training-attention-fusion-model", "kernel_id": "115060649"}, {"ref": "abczzx/edge-fix-small-improvement-29ea93", "kernel_id": "115608588"}, {"ref": "sanchitagangopadhyay/ecg-image-digitization-eda", "kernel_id": "116117826"}, {"ref": "ravnoor000/unet-pipeline", "kernel_id": "116605845"}, {"ref": "ravnoor000/notebook95ad332f5c", "kernel_id": "116369760"}, {"ref": "rangersingh/unet-pipeline", "kernel_id": "116611208"}, {"ref": "noor00111/unet-pipeline-3c9fc6", "kernel_id": "116714303"}, {"ref": "m1h4wk22/generate-pseudo-masks", "kernel_id": "116511540"}, {"ref": "navdeepsinghhh/notebook52a81a0abf", "kernel_id": "117468083"}, {"ref": "m1h4wk22/training-attention-fusion-model", "kernel_id": "117160314"}, {"ref": "m1h4wk22/ecg-improved", "kernel_id": "117275881"}, {"ref": "r2241272/ecg-image-database-sample-notebook", "kernel_id": "132144587"}]}
{"competition_id": "97985", "kernels": []}
{"competition_id": "97986", "kernels": [{"ref": "danipipe777/fa-ii-2025-i-object-localization", "kernel_id": "80315880"}, {"ref": "danipipe777/fa-ii-2025-i-object-localization-augm", "kernel_id": "82567886"}]}
{"competition_id": "97987", "kernels": []}
{"competition_id": "97992", "kernels": []}
{"competition_id": "97999", "kernels": []}
{"competition_id": "98001", "kernels": []}
{"competition_id": "98016", "kernels": []}
{"competition_id": "98018", "kernels": []}
{"competition_id": "98035", "kernels": []}
{"competition_id": "98076", "kernels": [{"ref": "gehadabdulaziz/flood-segmentation-unet-vgg16", "kernel_id": "118253909"}]}
{"competition_id": "98097", "kernels": []}
{"competition_id": "98103", "kernels": [{"ref": "tanadaaa/tutorial-2", "kernel_id": "80194202"}, {"ref": "tanadaaa/tutorial-3-starter-notebook", "kernel_id": "80195090"}, {"ref": "tanadaaa/tutorial-1-python", "kernel_id": "80193503"}, {"ref": "tanadaaa/tutorial-0-kaggle-notebook", "kernel_id": "80191679"}, {"ref": "tanadaaa/simple-eda-using-polars", "kernel_id": "80891375"}, {"ref": "kokiwing/first-place-solution", "kernel_id": "84584189"}, {"ref": "ikaku24/tutorial-1-python", "kernel_id": "115147207"}]}
{"competition_id": "98114", "kernels": [{"ref": "liisharjo/log-face-instance-segmentation-starter", "kernel_id": "80856033"}]}
{"competition_id": "98164", "kernels": [{"ref": "gmounikaa/fix-submission-py", "kernel_id": "114439384"}]}
{"competition_id": "98166", "kernels": []}
{"competition_id": "98177", "kernels": [{"ref": "vladvdv/starting-notebook", "kernel_id": "80230248"}, {"ref": "vladvdv/blip2-6-7b", "kernel_id": "80667355"}, {"ref": "vladvdv/diffusion-process", "kernel_id": "80789084"}, {"ref": "vladvdv/image-caption-image", "kernel_id": "80766372"}, {"ref": "anjan4646/genai-capstone-project-kagglexgoogle", "kernel_id": "80607200"}, {"ref": "vladvdv/mlcourse2026", "kernel_id": "119588930"}]}
{"competition_id": "98179", "kernels": []}
{"competition_id": "98189", "kernels": []}
{"competition_id": "98197", "kernels": []}
{"competition_id": "98207", "kernels": [{"ref": "liamzz/notebook1e805118e6", "kernel_id": "82029367"}, {"ref": "shashkat/cnn-model-instruments", "kernel_id": "82383514"}, {"ref": "vinitsolanki05/notebook16fc7a1cb7", "kernel_id": "95341433"}, {"ref": "aryankkate/dl-ca-3-30", "kernel_id": "95340264"}, {"ref": "sakshikharade/dl-ca3-31", "kernel_id": "95335607"}, {"ref": "poorvapathak/45-ca-dl", "kernel_id": "95334027"}, {"ref": "mahekamesur/notebook9b410f0a21", "kernel_id": "95333982"}, {"ref": "aakashlodha/dl-ca-35", "kernel_id": "95339445"}, {"ref": "shivamkaggleac/ca-3-deep-learning", "kernel_id": "95336517"}, {"ref": "rohitmakattilll/dl-ca3-36", "kernel_id": "95332196"}, {"ref": "rohitmakattilll/ca3-dl-36", "kernel_id": "95337660"}, {"ref": "paranjpe16/notebookb9d89cc6a9", "kernel_id": "95340605"}]}
{"competition_id": "98212", "kernels": []}
{"competition_id": "98215", "kernels": []}
{"competition_id": "98230", "kernels": [{"ref": "nicoss/supermariostarter", "kernel_id": "80650036"}]}
{"competition_id": "98232", "kernels": [{"ref": "tojoh15/ml-in-e-f-cml-assignment", "kernel_id": "80355785"}]}
{"competition_id": "98233", "kernels": [{"ref": "snipernan/official-template", "kernel_id": "80357900"}, {"ref": "miraclelpx/aaabbbbbbsaaad", "kernel_id": "86275848"}, {"ref": "snipernan/template2", "kernel_id": "86274673"}, {"ref": "snipernan/template", "kernel_id": "86274509"}]}
{"competition_id": "98293", "kernels": []}
{"competition_id": "98354", "kernels": []}
{"competition_id": "98446", "kernels": [{"ref": "schw1eg0/testing-v0-535", "kernel_id": "85768240"}]}
{"competition_id": "98450", "kernels": [{"ref": "stavrwalker/is-there-something-wrong-with-the-data", "kernel_id": "81672495"}, {"ref": "sarthak24910/beyond-visible-spectrum-baseline-lb-850-9x", "kernel_id": "81992293"}, {"ref": "nikitamanaenkov/3d-cnn-hyperspectral-agriculture-challenge", "kernel_id": "81507891"}, {"ref": "nikitamanaenkov/beyond-visible-spectrum-eda", "kernel_id": "81833347"}, {"ref": "dalloliogm/beyond-autogluon", "kernel_id": "82517571"}, {"ref": "vijay20213/cnn-pca-ai-for-agriculture-2025", "kernel_id": "82599721"}, {"ref": "rkmaurya93/notebook21fb2ecb65", "kernel_id": "82358583"}, {"ref": "ruhul20/cnn-hyperspectral-agriculture-challenge-pytorch", "kernel_id": "82956642"}, {"ref": "stpeteishii/spectrum-128-lightning-cnn-regressor", "kernel_id": "83012431"}, {"ref": "stpeteishii/visible-spectrum-split-data-by-shape", "kernel_id": "83009950"}, {"ref": "stpeteishii/spectrum-32-lightning-3dcnn", "kernel_id": "83206081"}, {"ref": "endofnight17j03/beyond-visible-spectrum-ai-2025", "kernel_id": "83204805"}, {"ref": "govindaramsriram/1-in-privatelb-beyond-visible-spectrum2025-1", "kernel_id": "83051123"}, {"ref": "ramazanturann/beyond-visible-spectrum-ai-2025", "kernel_id": "83226199"}, {"ref": "guillepinto/optimizacion-challenge", "kernel_id": "83733848"}, {"ref": "kilalon/3-in-private-beyond-visible-spectrum2025", "kernel_id": "83562791"}, {"ref": "misterfour/bvs-ai-for-agriculture-2025", "kernel_id": "91131955"}, {"ref": "roshanbinoj/sih-2025-hyperspectral-analysis", "kernel_id": "92692772"}, {"ref": "ganeshjalkote123/notebookd348f8af3d", "kernel_id": "102762766"}]}
{"competition_id": "98456", "kernels": []}
{"competition_id": "98486", "kernels": []}
{"competition_id": "98493", "kernels": [{"ref": "anirudhbagri1421/exoplanet-datathon", "kernel_id": "80504313"}]}
{"competition_id": "98498", "kernels": [{"ref": "leynessa/sample-notebook", "kernel_id": "81527855"}, {"ref": "tungdd2009/segmentation-dumpster-diving-attempt", "kernel_id": "97098382"}]}
{"competition_id": "98515", "kernels": []}
{"competition_id": "98517", "kernels": []}
{"competition_id": "98603", "kernels": []}
{"competition_id": "98622", "kernels": []}
{"competition_id": "98655", "kernels": []}
{"competition_id": "98656", "kernels": []}
{"competition_id": "98693", "kernels": []}
{"competition_id": "98713", "kernels": [{"ref": "gordeipribtkin/starter-notebook", "kernel_id": "80793887"}]}
{"competition_id": "98724", "kernels": [{"ref": "abdalmageedramadan/car-crash-severity-classification", "kernel_id": "82399784"}]}
{"competition_id": "98731", "kernels": []}
{"competition_id": "98751", "kernels": [{"ref": "vawhiteice/starter-notebook", "kernel_id": "80776108"}, {"ref": "vawhiteice/reference", "kernel_id": "80780757"}]}
{"competition_id": "98796", "kernels": [{"ref": "martmihkelaun/starter-notebook", "kernel_id": "80776764"}]}
{"competition_id": "98871", "kernels": []}
{"competition_id": "98873", "kernels": []}
{"competition_id": "98880", "kernels": []}
{"competition_id": "98885", "kernels": [{"ref": "galyukshev/baseline", "kernel_id": "80707902"}, {"ref": "nastyaalekseeva/notebooka1e4505de5", "kernel_id": "82513667"}, {"ref": "mariastepina/tf-idf-relevance-perplexity-logreg", "kernel_id": "82582079"}, {"ref": "daniilmatvienko/detect-ai-generated-text", "kernel_id": "83471843"}, {"ref": "zabarov/bot-or-not-bootcamp-winning-soluton-code-only", "kernel_id": "86492260"}, {"ref": "thomasstrahl/ilnitski-you-are-boot-comp", "kernel_id": "102966140"}, {"ref": "focus38/generated-text-detector-1", "kernel_id": "103620233"}, {"ref": "lakhindarpal/detect-bots-in-dialogues", "kernel_id": "113262586"}, {"ref": "muhammaddanyalmalik/bootcamp-winning-soluton", "kernel_id": "115020490"}]}
{"competition_id": "98936", "kernels": [{"ref": "tameemalshomari/kaggle-coin-price-forecasting-challenge", "kernel_id": "116900895"}]}
{"competition_id": "98993", "kernels": []}
{"competition_id": "98998", "kernels": []}
{"competition_id": "99003", "kernels": [{"ref": "anderoraava/sample-notebook", "kernel_id": "80796385"}]}
{"competition_id": "99005", "kernels": [{"ref": "xiaoyr/notebook7526be8815", "kernel_id": "83976346"}]}
{"competition_id": "99008", "kernels": []}
{"competition_id": "99011", "kernels": [{"ref": "ceebdev/starter-notebook", "kernel_id": "80801546"}]}
{"competition_id": "99014", "kernels": [{"ref": "juliusvlja/starter-notebook", "kernel_id": "80803545"}, {"ref": "yukuanzou/yolo-detection", "kernel_id": "111297747"}]}
{"competition_id": "99029", "kernels": []}
{"competition_id": "99031", "kernels": []}
{"competition_id": "99033", "kernels": [{"ref": "iyapalapa/starter-notebook", "kernel_id": "80897833"}]}
{"competition_id": "99040", "kernels": []}
{"competition_id": "99053", "kernels": [{"ref": "murad0m/sample-notebook", "kernel_id": "80988459"}]}
{"competition_id": "99054", "kernels": []}
{"competition_id": "99082", "kernels": []}
{"competition_id": "99095", "kernels": []}
{"competition_id": "99173", "kernels": [{"ref": "nikitamanaenkov/synthetic-object-detection-fasterrcnn", "kernel_id": "80978969"}, {"ref": "gdceccarini/display-train-images-with-yolo-annotations", "kernel_id": "81041895"}, {"ref": "shreyasraghav/tedxcrc", "kernel_id": "81409575"}, {"ref": "shreyasraghav/multiple-approach", "kernel_id": "81388318"}, {"ref": "mohanapavanbezawada/synthetic-2-real-object-detection", "kernel_id": "81148597"}, {"ref": "shubhamjariwala/synthetic-to-real-object-detection", "kernel_id": "82055500"}, {"ref": "hosnyabdullahmohamed/real-object-detection", "kernel_id": "82008239"}, {"ref": "dianashilova/object-detection-with-synthetic-data-yolo-model", "kernel_id": "82793024"}, {"ref": "kakuteki/yolov11-synthetic-2-real", "kernel_id": "83697765"}, {"ref": "niazmahmud0201/notebook899de1a44d", "kernel_id": "83335086"}, {"ref": "antonoof/ru-eng-easy-start-with-yolov11", "kernel_id": "83330832"}, {"ref": "snguyencopilot1/snc-bounding-box-classification", "kernel_id": "83664360"}, {"ref": "misterfour/synthetic-2-real-object-detection-challenge-t", "kernel_id": "91497127"}]}
{"competition_id": "99206", "kernels": [{"ref": "ancjothur/turtle-segmentation-starter-notebook", "kernel_id": "80899698"}]}
{"competition_id": "99217", "kernels": []}
{"competition_id": "99219", "kernels": []}
{"competition_id": "99224", "kernels": []}
{"competition_id": "99227", "kernels": []}
{"competition_id": "99229", "kernels": []}
{"competition_id": "99230", "kernels": []}
{"competition_id": "99231", "kernels": [{"ref": "prashantdubey2107/notebookcd2ef5864f", "kernel_id": "106198547"}]}
{"competition_id": "99236", "kernels": [{"ref": "viswaprakash1990/machine-learning-with-mnist", "kernel_id": "84019169"}, {"ref": "viswaprakash1990/mnist-custom-cnn", "kernel_id": "84012919"}]}
{"competition_id": "99245", "kernels": []}
{"competition_id": "99249", "kernels": [{"ref": "tryolabsaiforgood/cupybara-demo-submission-notebook", "kernel_id": "80924903"}, {"ref": "arielmalowany/cupybara-challenge-am", "kernel_id": "81377198"}, {"ref": "lviameinhardt/cameratrap-model", "kernel_id": "85284047"}, {"ref": "jessicaarroyo/cupybara-baseline", "kernel_id": "85635368"}, {"ref": "gabotor/cupybara-submission-80", "kernel_id": "87127347"}, {"ref": "gabotor/cupybara-submission-808d43cba379", "kernel_id": "87182069"}, {"ref": "gabotor/cupybara-submission-t", "kernel_id": "87172419"}]}
{"competition_id": "99420", "kernels": []}
{"competition_id": "99476", "kernels": [{"ref": "lenjjiv/ru-hogspell-baseline-solution", "kernel_id": "82420699"}, {"ref": "lenjjiv/en-hogspell-baseline-solution", "kernel_id": "82420809"}]}
{"competition_id": "99477", "kernels": [{"ref": "ravi20076/hackowasp2025-lb1-v1", "kernel_id": "81218809"}]}
{"competition_id": "99478", "kernels": []}
{"competition_id": "99479", "kernels": [{"ref": "denvermagtibay/vector-borne-disease-classification-challenge-1", "kernel_id": "81963543"}, {"ref": "rajputpritesh31/vector-borne-disease-classification-challenge", "kernel_id": "81163024"}]}
{"competition_id": "99486", "kernels": []}
{"competition_id": "99552", "kernels": [{"ref": "lsl000ud/rsna2022-7th-place-inference", "kernel_id": "31460445"}, {"ref": "dennisfong/dicom-pngs-for-rsna-intracranial-aneurysm", "kernel_id": "88209241"}, {"ref": "devinanzelmo/look-at-labels", "kernel_id": "88152217"}, {"ref": "essington62/rsna-intracranial-comp", "kernel_id": "88608007"}, {"ref": "sumaniitm/complete-train-metadata-using-duckdb-and-polars", "kernel_id": "88588397"}, {"ref": "docxian/rsna-intercranial-aneurysm-detection-visualize", "kernel_id": "88160007"}, {"ref": "yadavendra121/eda-rsna-aneurysm", "kernel_id": "88161253"}, {"ref": "ryanholbrook/rsna-aneurysm-detection-demo-submission", "kernel_id": "88097007"}, {"ref": "dbrach/additional-information-from-relative-position-plot", "kernel_id": "88462871"}, {"ref": "jazivxt/every-mind-is-its-own-world", "kernel_id": "88101975"}, {"ref": "mt12345/aneurysm-primer", "kernel_id": "88805072"}, {"ref": "stpeteishii/rsna2025-dicom-png-images-slide-show", "kernel_id": "88364810"}, {"ref": "stpeteishii/intracranial-aneurysm-image-view", "kernel_id": "88900409"}, {"ref": "ahsuna123/voxel-by-voxel-3d-cnn-intracranial-aneurysms", "kernel_id": "88128464"}, {"ref": "mpwolke/ia-rsna-2025-dcm-nii", "kernel_id": "88104052"}, {"ref": "tasmim/rsna-aneurysm-eda-analysis-ipynb", "kernel_id": "88218614"}, {"ref": "tasmim/rsna-training-efficientnet", "kernel_id": "88349684"}, {"ref": "dedquoc/rsna-2025-iad-with-simple3dcnn", "kernel_id": "88352972"}, {"ref": "pranay1990/simple-inference", "kernel_id": "88751313"}, {"ref": "sentrankim/3d-visualization-for-vessel-mask-abnorml-area", "kernel_id": "88881871"}, {"ref": "tom99763/discover-usage-of-fine-tuned-vesselfm-tom", "kernel_id": "88968584"}, {"ref": "adityang5/rsna-intercranial-aneurysm-dataset-distribution", "kernel_id": "88688042"}, {"ref": "adityang5/augmentation-intracranial-aneurysm", "kernel_id": "88685381"}, {"ref": "birlinha/eda-series-segment-count", "kernel_id": "88377969"}, {"ref": "tanakatentyo/rsna2025-dicom-size-mismatch-example", "kernel_id": "88424017"}, {"ref": "tanakatentyo/rsna2025-unable-to-decompress-demo", "kernel_id": "88504313"}, {"ref": "damtrongtuyen/2025-rsna-iad-eda-3d-visualization", "kernel_id": "88433009"}, {"ref": "mnoumanshinwari/rsna-aneurysm-detection", "kernel_id": "88235765"}, {"ref": "antonsibilev/mismatch-resolution-v1", "kernel_id": "88515156"}, {"ref": "antonsibilev/heck-localizer-targets-v1", "kernel_id": "88523464"}, {"ref": "noorchauhan/let-s-look-at-it-once", "kernel_id": "88190419"}, {"ref": "aidanagee/rsna-comp", "kernel_id": "88341203"}, {"ref": "zshashz/rsna-iad-convnext-lb", "kernel_id": "88273786"}, {"ref": "zshashz/rsna-iad-swin-transformer-lb", "kernel_id": "88273905"}, {"ref": "zshashz/rsna-iad-ensemble-lb-1", "kernel_id": "88274015"}, {"ref": "zshashz/rsna-iad-efficientnetv2-lb", "kernel_id": "88231906"}, {"ref": "sacuscreed/rsna-eda", "kernel_id": "88305331"}, {"ref": "sacuscreed/rsna-getting-segmentation", "kernel_id": "88331253"}, {"ref": "pauljef/data-analysis-and-understanding-project", "kernel_id": "88159067"}, {"ref": "amirmmahdavikia/rsna2025-explore-and-gain-insights", "kernel_id": "88896427"}, {"ref": "abhinavsharma0706/rsna-intra-det", "kernel_id": "88555687"}, {"ref": "sajinapathak/your-first-competition", "kernel_id": "88392086"}, {"ref": "tarundirector/aneurysm-atlas-viz-and-eda", "kernel_id": "88311143"}, {"ref": "yogeshbawankar/3-beginners-eda-baseline-model", "kernel_id": "88483015"}, {"ref": "alinadilawaiz/rsna-intracranial-aneurysm-detection", "kernel_id": "88459098"}, {"ref": "ichigoe/inference-224x224-dicom-pngs-efficientnetv2s", "kernel_id": "88380666"}, {"ref": "ichigoe/train-224x224-dicom-pngs-efficientnetv2s", "kernel_id": "88371241"}, {"ref": "stemosamaghandour/rsna-intracranial-aneurysm-detector-by-osama-geris", "kernel_id": "88125194"}, {"ref": "jvfernandesemorais/notebookcf1aaa9d05", "kernel_id": "88172376"}, {"ref": "guntasdhanjal/rsna-enhanced-ensemble-approach-69", "kernel_id": "88892440"}, {"ref": "denvermagtibay/aneurysm-detection-baseline-notebook", "kernel_id": "88308170"}, {"ref": "briancarey/rsna-intracranial-aneurysm-detection-data-analysis", "kernel_id": "88215828"}, {"ref": "qasim233/feasibility-checking-notebook", "kernel_id": "88507275"}, {"ref": "nicholas33/01-aneurysmnet-dataexpl-intracranial-nb153", "kernel_id": "88189974"}, {"ref": "nicholas33/stage2-aneurysmnet-intracranial-inference-nb153", "kernel_id": "88281416"}, {"ref": "nicholas33/stage1-aneurysmnet-intracranial-training-nb153", "kernel_id": "88279036"}, {"ref": "umerellous/intracranial-aneurysm-detection", "kernel_id": "88490044"}, {"ref": "ryonakamurajph/pytorch-dataloader", "kernel_id": "88119069"}, {"ref": "ryonakamurajph/pytorch-training-pipeline", "kernel_id": "88182619"}, {"ref": "ryonakamurajph/oom-train-segmentation-nnunet", "kernel_id": "88257914"}, {"ref": "stepanantonov/rsna-aneurysm-detection-mod-class", "kernel_id": "88771349"}, {"ref": "stepanantonov/fork-of-rsna-aneurysm-detection-mod-class-mid-rnd", "kernel_id": "88961473"}, {"ref": "stepanantonov/rsna-aneurysm-detection-demo-submission-steppy", "kernel_id": "88283755"}, {"ref": "adilshamim8/rsna-intracranial-aneurysm-detection-101", "kernel_id": "88262338"}, {"ref": "liaoxingyujiqixuexi/jingsai", "kernel_id": "88279169"}, {"ref": "tahminahusain/detect-brain-aneurysm-v1", "kernel_id": "88399603"}, {"ref": "tahminahusain/detect-brain-aneurysm", "kernel_id": "88912471"}, {"ref": "badboyhalo1801/notebookb889d7982a", "kernel_id": "88248647"}, {"ref": "faisalkhanturk/notebookeca1515979", "kernel_id": "88238067"}, {"ref": "olaflundstrom/rsna-iad-notebook-v1-0", "kernel_id": "88234393"}, {"ref": "comhek/3d-cnn-for-brain-aneurysm-detection", "kernel_id": "88220069"}, {"ref": "yusuketogashi/rsna-eda-baseline-localcv", "kernel_id": "88184678"}, {"ref": "antonglushko1/notebook5476a25298", "kernel_id": "88459711"}, {"ref": "nicholechristie/notebook12dc146197", "kernel_id": "88101718"}, {"ref": "rizkifirman/detection-intracranial-aneurysm-demo-ipynb", "kernel_id": "88501119"}, {"ref": "bharathbala123/notebookcd358c248f", "kernel_id": "88188555"}, {"ref": "kyitharhein/eda-intracranial-aneurysm", "kernel_id": "88226368"}, {"ref": "kyitharhein/visualization-intracranial-aneurysm", "kernel_id": "88405040"}, {"ref": "krishlayakumar/newcomp", "kernel_id": "88321255"}, {"ref": "subhro02/notebook1f1fcbf9d3", "kernel_id": "88203568"}, {"ref": "dennisfong/2-5d-efficientnet-rsna-cta-training", "kernel_id": "89281831"}, {"ref": "dennisfong/2-5d-efficientnet-rsna-cta-precache-tensor", "kernel_id": "89285346"}, {"ref": "dennisfong/2-5d-efficientnet-rsna-cta-inference", "kernel_id": "89225562"}, {"ref": "anoukstein/create-nifti-and-remove-skull", "kernel_id": "89000635"}, {"ref": "yosukeyama/rsna2025-32ch-img-infer-lb-0-69-share", "kernel_id": "89538367"}, {"ref": "stpeteishii/ia-detection-8-frame-image-inference-pipeline", "kernel_id": "89017341"}, {"ref": "stpeteishii/ia-detection-8-frame-image-training-pipeline", "kernel_id": "89017530"}, {"ref": "tom99763/vessel-extraction-and-calibration-tom", "kernel_id": "89724682"}, {"ref": "trunghiu/rsna-iad-inference-blmppes", "kernel_id": "89289340"}, {"ref": "duyanhphilippepham/resnet3d-18", "kernel_id": "89684408"}, {"ref": "sacuscreed/rsna-from-binary-2d-to-full-3d-segmentation", "kernel_id": "89338329"}, {"ref": "sacuscreed/rsna-getting-positives", "kernel_id": "89561792"}, {"ref": "sacuscreed/rsna-extracted-rois-demo", "kernel_id": "89565605"}, {"ref": "bonesclarke26/rsna-ad-exploratory-analysis", "kernel_id": "89801122"}, {"ref": "amirmmahdavikia/rsna2025-preprocessing-guide", "kernel_id": "89412802"}, {"ref": "minglv/rsna-2-5d-timm-ensemble", "kernel_id": "89643348"}, {"ref": "yogeshbawankar/rsna-fine-tuned-model", "kernel_id": "89606652"}, {"ref": "shadesh/baseline-inference", "kernel_id": "89655860"}, {"ref": "shadesh/using-transfer-learning-resnet18", "kernel_id": "89893407"}, {"ref": "ichigoe/with-updated-datasets-sinple-3d-cnn-train", "kernel_id": "89153468"}, {"ref": "ichigoe/with-updated-datasets-sinple-3d-cnn-inference", "kernel_id": "89174297"}, {"ref": "devkumarbiswas/icad-data-exploration", "kernel_id": "89987932"}, {"ref": "christinamichael1911/cta-eda", "kernel_id": "89329846"}, {"ref": "muhammaddanyalmalik/medicalai-3d-cnn-fullworkflow", "kernel_id": "89893049"}, {"ref": "olaflundstrom/rsna-iad-dtu-bioengineering", "kernel_id": "89064406"}, {"ref": "olaflundstrom/rsna-intracranial-aneurysm-detection-dtu-bioeng", "kernel_id": "89175424"}, {"ref": "joshikhas/notebookc9645377a0", "kernel_id": "89652777"}, {"ref": "galipenesdogan/notebook26a829a304", "kernel_id": "89793582"}, {"ref": "galipenesdogan/notebooka27b58faf8", "kernel_id": "89180649"}, {"ref": "seanramirez904/rsna-aneurysm-detection-v2", "kernel_id": "89690894"}, {"ref": "rizkifirman/fork-of-detection-intracranial-aneurysm-demo-ipynb", "kernel_id": "89146975"}, {"ref": "deemok7/07-multimodal-dashboard-visualization", "kernel_id": "89947805"}, {"ref": "kushxpai/rsna-intracranial-aneurysm-detection", "kernel_id": "89321033"}, {"ref": "tamotamo/rsna2025-annotate-vessel-bbox", "kernel_id": "90899050"}, {"ref": "tamotamo/rsna2025-train-yolo-vessel-region-detection", "kernel_id": "90979030"}, {"ref": "tom99763/vessel-segmentation-tom", "kernel_id": "90581266"}, {"ref": "tom99763/rsna-iad-mr-strategy-tom", "kernel_id": "90086277"}, {"ref": "iamparadox/segmentation-visualization", "kernel_id": "90195875"}, {"ref": "duyanhphilippepham/efficientnetv2-s", "kernel_id": "90002408"}, {"ref": "utkarshtomar736/rsna-data-exploration-00", "kernel_id": "90566797"}, {"ref": "utkarshtomar736/rsna-random-pred-submission", "kernel_id": "90678327"}, {"ref": "max164/rsna-aneurysm-detection-insights", "kernel_id": "90593359"}, {"ref": "babydriver1233/rsna-intracranial-aneurysm-detection", "kernel_id": "90497910"}, {"ref": "shionao7/rsna-sub-voxel-medicalnet-resnet18", "kernel_id": "90292916"}, {"ref": "juannicolasquintero/aneurysms", "kernel_id": "90515602"}, {"ref": "anthonytherrien/rsna2025-trainer", "kernel_id": "90892613"}, {"ref": "luciaborrego/first-analysis", "kernel_id": "90481394"}, {"ref": "shosys/dicom-rescale-normalizer", "kernel_id": "90061820"}, {"ref": "muhammaddanyalmalik/rsna-ensemble-tuning-more", "kernel_id": "90863640"}, {"ref": "franciscoangulo/nebula-rsna-aneurysm-detection", "kernel_id": "90970874"}, {"ref": "franciscoangulo/nebula-fotonic-ray-tracing-inference", "kernel_id": "90968004"}, {"ref": "ashaltdelete/stage2-aneurysmnet-intracranial-inference-nb153", "kernel_id": "90915096"}, {"ref": "mdnaimislam165436/rsna-random-pred", "kernel_id": "90698349"}, {"ref": "perseus7/rsna-exploratory-data-analysis-and-visualization", "kernel_id": "90856853"}, {"ref": "jade290395/rsna2025-efficientnetv2-inference", "kernel_id": "90290147"}, {"ref": "taimour/ct-train-model-for-aneurysm-3", "kernel_id": "91712577"}, {"ref": "taimour/aneurysm-3", "kernel_id": "91161364"}, {"ref": "taimour/preprocess-files-for-aneurysm-3", "kernel_id": "91970479"}, {"ref": "p4rallax/32ch-2d-train-512-augs-focal", "kernel_id": "91293215"}, {"ref": "santoshlinkha/aneurysm-shared", "kernel_id": "91361254"}, {"ref": "sacuscreed/segmentation-masks-flipped", "kernel_id": "91578541"}, {"ref": "sacuscreed/rsna-2d-binary-segmentation-training-0", "kernel_id": "91925347"}, {"ref": "aheersrabon/rsna-iad-doing-eda", "kernel_id": "91656129"}, {"ref": "yogeshbawankar/rsna-hybrid-pipeline", "kernel_id": "91546174"}, {"ref": "yogeshbawankar/rsna-fused-3d-2-5d-ensemble", "kernel_id": "91542866"}, {"ref": "yihan178/rsna-lesson-1-get-to-see-the-images", "kernel_id": "91305679"}, {"ref": "yihan178/rsna-lesson-2-1-python-essentials", "kernel_id": "91381248"}, {"ref": "dzungta/acho1", "kernel_id": "91399918"}, {"ref": "wklwkll/2025-7", "kernel_id": "91483599"}, {"ref": "liyan12/rsna-2025", "kernel_id": "91472750"}, {"ref": "mujielong/rsna-02", "kernel_id": "91091643"}, {"ref": "ycy147/notebook859627fb9c", "kernel_id": "91139388"}, {"ref": "pl1ght/kernel-death-problem", "kernel_id": "91898787"}, {"ref": "olaflundstrom/rsna-2025-intracranial-aneurysm-detection", "kernel_id": "91154302"}, {"ref": "deadlyharbor07/model-approach-2", "kernel_id": "91102208"}, {"ref": "moka108/notebook-family", "kernel_id": "91549425"}, {"ref": "nguyendungta/acho1-1", "kernel_id": "91502532"}, {"ref": "aalichao/rsna-aneurysm-detection-demo-submission", "kernel_id": "91522700"}, {"ref": "longb173/rsna-iad-final-nb", "kernel_id": "91015612"}, {"ref": "thalro/check-localizers", "kernel_id": "92222809"}, {"ref": "thalro/test-read-speed", "kernel_id": "92994026"}, {"ref": "dennisfong/rsna-2025-part-1-preprocess-hard-samples", "kernel_id": "92698517"}, {"ref": "taimour/predict-aneurysm-3", "kernel_id": "92456637"}, {"ref": "taimour/mr-train-model-for-aneurysm-3", "kernel_id": "92898040"}, {"ref": "tamotamo/rsna2025-series-dataset-yolo-vessel-region-plus-3d", "kernel_id": "92027760"}, {"ref": "tamotamo/rsna2025-eda-plus3d", "kernel_id": "92196799"}, {"ref": "tokkiwa/bronze-rsna25-emsemble-inference-001", "kernel_id": "92083210"}, {"ref": "tokkiwa/rsna25-022", "kernel_id": "92252482"}, {"ref": "tom99763/vessel-aneurysm-analysis-from-yolo-points", "kernel_id": "92796352"}, {"ref": "tom99763/rsna-iad-vessel-segmentation", "kernel_id": "92183682"}, {"ref": "mos3santos/rsna-aneurysm-detection-demo-submission", "kernel_id": "92849136"}, {"ref": "mos3santos/rsna-aneurysm-detection", "kernel_id": "92853459"}, {"ref": "sacuscreed/rsna-from-2d-binary-to-3d-full-segmentation-0", "kernel_id": "92362887"}, {"ref": "sacuscreed/rsna-aneurysm-3d-full-segmentation-0", "kernel_id": "92702694"}, {"ref": "andreipaulavets/submission-parquet", "kernel_id": "92284578"}, {"ref": "andreipaulavets/rsna-hybrid-pipeline", "kernel_id": "92179688"}, {"ref": "thaonguyen24303/3dnnu-net-raw", "kernel_id": "92224819"}, {"ref": "devkumarbiswas/aneurysm-detection-using-3d-cnn", "kernel_id": "92379748"}, {"ref": "khanramshaayub/rsna-2025-train", "kernel_id": "92445351"}, {"ref": "wenxiaozhan/rsna-aneurysm-detection-demo-submission-c52560", "kernel_id": "92363295"}, {"ref": "kongyanmiao/rsna-cta-inference", "kernel_id": "92903855"}, {"ref": "kospintr/rsna-senet-baseline-image-augmentation", "kernel_id": "92358227"}, {"ref": "sachchidanandadaki/final-rsna", "kernel_id": "92731530"}, {"ref": "jomify/rsna2025-32ch-improvement", "kernel_id": "92814603"}, {"ref": "husqfdu/model-training-trial-intergraded", "kernel_id": "92990093"}, {"ref": "husqfdu/rsna-aneurysm-detection-environment-trial", "kernel_id": "92054043"}, {"ref": "baophuc1204/rsna-hybrid-pipeline", "kernel_id": "92379322"}, {"ref": "baophuc1204/rsna-real-model-submission", "kernel_id": "92379992"}, {"ref": "baophuc1204/lightgbm", "kernel_id": "92383712"}, {"ref": "ayushipandey2005/submission-parquet", "kernel_id": "92074946"}, {"ref": "rabdinophulpoto/rsna-hybrid-pipeline", "kernel_id": "92782485"}, {"ref": "zhaoyiming112233/rsna2025-32ch-img-infer", "kernel_id": "92363938"}, {"ref": "theoviel/rsna-2025-inf", "kernel_id": "93400089"}, {"ref": "hideyukizushi/rsna2025-32ch-5fold-blending-weight-lb-69", "kernel_id": "93837123"}, {"ref": "tom99763/yolo-soup-flayer-gnn-rsna", "kernel_id": "93794044"}, {"ref": "tom99763/yolos-phw-mip-lp-rsna-i", "kernel_id": "93621755"}, {"ref": "tom99763/yolos-wavelet-patch-models-rsna-i", "kernel_id": "93587099"}, {"ref": "mos3santos/rsna-test", "kernel_id": "93300643"}, {"ref": "sacuscreed/rsna2025-32ch-img-infer-lb-0-69-share", "kernel_id": "93534015"}, {"ref": "notfound510/notebook4206daaf82", "kernel_id": "93212570"}, {"ref": "uryednap/segmentation-generator", "kernel_id": "93076614"}, {"ref": "uryednap/fork-of-vesselfm-seg-to-seg-generator", "kernel_id": "93839608"}, {"ref": "kevintandonbtech2022/notebook-rsna-test2", "kernel_id": "93184987"}, {"ref": "devkumarbiswas/3dcnn-model", "kernel_id": "93359409"}, {"ref": "devkumarbiswas/yolo-multimodal", "kernel_id": "93536803"}, {"ref": "devkumarbiswas/rsna-aneurysm-detection-submission", "kernel_id": "93611312"}, {"ref": "devkumarbiswas/yolo8-trained-model-dev", "kernel_id": "93674146"}, {"ref": "yihan178/rsna-baseline-3d-cnn", "kernel_id": "93389131"}, {"ref": "khanramshaayub/submission-parquet", "kernel_id": "93069497"}, {"ref": "khanramshaayub/precomputing-for-faster-training", "kernel_id": "93896612"}, {"ref": "apupapu/rsna-visualize-mkg", "kernel_id": "93787840"}, {"ref": "phillfei/segment-code1", "kernel_id": "93184303"}, {"ref": "osman0/rsna-visualize-aneurysm-dicoms", "kernel_id": "93575222"}, {"ref": "osman0/dicom-mpr-viewer", "kernel_id": "93254587"}, {"ref": "samoilovmikhail/rsna-aneurysm-detection-eda", "kernel_id": "93425975"}, {"ref": "aldol07/rsna-03", "kernel_id": "93797592"}, {"ref": "aldol07/rsna-02", "kernel_id": "93611495"}, {"ref": "muqddasshaheen/rsna-aneurysm", "kernel_id": "93649792"}, {"ref": "zien666/rsna-cta-training", "kernel_id": "93775401"}, {"ref": "mdnaimislam165436/rsna-intracranial-aneurysm-detection", "kernel_id": "93876855"}, {"ref": "kospintr/rsna-transfer-learning-efficientnet-image-aug", "kernel_id": "93996070"}, {"ref": "oneshikaaa/eda-rsna", "kernel_id": "93661796"}, {"ref": "vamansoni/rsna-secondd", "kernel_id": "93578537"}, {"ref": "fadiladiguna/export-rsna", "kernel_id": "93435647"}, {"ref": "afonsomm98/3-pre-calculate-voxel-spacing-rsna-iad", "kernel_id": "93004780"}, {"ref": "mohammadjafarzamani/notebook38f15dfa93", "kernel_id": "93524902"}, {"ref": "mohammadjafarzamani/notebooke72b070495", "kernel_id": "93487612"}, {"ref": "darkincoder/rsna-challenge-yolov8-loc", "kernel_id": "93849715"}, {"ref": "darkincoder/rsna-challenge-nnunet-seg", "kernel_id": "93943268"}, {"ref": "nocarbonintelligence/rsna-intracranial-aneurysm-detection", "kernel_id": "93172923"}, {"ref": "xiangeli/inference-notebook-for-submission-1", "kernel_id": "93655299"}, {"ref": "yifengw08/rsna-aneurysm-detection-test", "kernel_id": "93676659"}, {"ref": "acamargo/code-rsna-intracreanial-aneurysmdetection", "kernel_id": "94865904"}, {"ref": "harshitsheoran/rsna-aneurysm-detection-demo-submission", "kernel_id": "94329953"}, {"ref": "wissunpower/intracranial-aneurysm-detection-eval", "kernel_id": "94040863"}, {"ref": "sersasj/offline-install-tensorrt", "kernel_id": "94022150"}, {"ref": "khabel/rsna-dual-gpu-ensemble-2step", "kernel_id": "94997986"}, {"ref": "p4rallax/vessel-segmentations-model", "kernel_id": "94567716"}, {"ref": "sushmitapalikhe/convert-and-zip-pngs-new", "kernel_id": "94489979"}, {"ref": "tom99763/2x-yolo-flayer-meta-classifier-final-ver", "kernel_id": "94970975"}, {"ref": "tom99763/2x-yolo-flayer-meta-training-final-ver", "kernel_id": "94966088"}, {"ref": "ataracsia/rsna-iad-train-swin-s-ipynb", "kernel_id": "94502046"}, {"ref": "sacuscreed/fork-of-rsna-focal-submission", "kernel_id": "94943715"}, {"ref": "lordpatil/eda-and-baseline-with-0-1-sample", "kernel_id": "94223468"}, {"ref": "prmukesh/notebookfb674ca7ba", "kernel_id": "94063985"}, {"ref": "tomoon33/rsna2025-convert-trt", "kernel_id": "94445119"}, {"ref": "qasim233/aneurysm-detection-baseline", "kernel_id": "94214210"}, {"ref": "yihan178/rsna-baseline-3d-cnn-data", "kernel_id": "94160706"}, {"ref": "shinrapb/3d-segmentation-redundant-vaman-main", "kernel_id": "94585819"}, {"ref": "joannaciesielski/rsna-ensemble-inference-v2s-post-processing", "kernel_id": "94849326"}, {"ref": "tulsirajora/eda-rsna-intracranial-aneurysm-detection", "kernel_id": "94745234"}, {"ref": "trjanhrsehtxmustang/rsna-model", "kernel_id": "94088033"}, {"ref": "trjanhrsehtxmustang/rsna-submission", "kernel_id": "94160305"}, {"ref": "eloisedai/rsna-submission-and-training-gitlab-repository", "kernel_id": "94421346"}, {"ref": "wlotkr/rsna-submission-v1", "kernel_id": "94698400"}, {"ref": "yifengw08/rsna-preprocessing", "kernel_id": "94890198"}, {"ref": "tamotamo/rsna2025-reconstruct-3d-roi", "kernel_id": "95829006"}, {"ref": "tamotamo/rsna2025-3rd-place-inference", "kernel_id": "95294077"}, {"ref": "st3v3d/7th-place-solution-3d-nnu-net-blob-regression", "kernel_id": "95795114"}, {"ref": "tobimichigan/rsna-intracranial-aneurysm-detection-algorithm", "kernel_id": "95076244"}, {"ref": "p4rallax/yolo-submit-ensemble-32ch", "kernel_id": "95002463"}, {"ref": "sushmitapalikhe/training", "kernel_id": "95146036"}, {"ref": "pengchengshi/bravecowcow-2nd-place-inference-demo", "kernel_id": "95857317"}, {"ref": "pengchengshi/bravecowcow-2nd-place-inference-final-submission", "kernel_id": "95006705"}, {"ref": "tom99763/9th-place-solution-rsna-iad", "kernel_id": "95533754"}, {"ref": "tomoon33/rsna2025-submission-1st-place", "kernel_id": "95570103"}, {"ref": "daltongabrielomondi/rsna2025-32ch-img-infer-lb-0-69-share", "kernel_id": "95072952"}, {"ref": "thelazer127/neuronetra2-1", "kernel_id": "95061374"}, {"ref": "afonsomm98/6-submission-notebook-rsna-iad", "kernel_id": "95021797"}, {"ref": "javierrosadoc/jrosado-01-aneurysmnet-dataexpl", "kernel_id": "95190796"}, {"ref": "sushmitapalikhe/second-inference", "kernel_id": "96628697"}, {"ref": "jeanpaulhernandez/nnx-net-variation", "kernel_id": "96573680"}, {"ref": "vigneshthangabalanb/notebookeba582b03b", "kernel_id": "96977202"}, {"ref": "muichimon/rsna-intracranialaneurysm-eda", "kernel_id": "96393899"}, {"ref": "xinrui39/notebooka13985c9b4", "kernel_id": "97302448"}, {"ref": "yashwanthrajeshkumar/0-52-auc-roc-needs-improvement", "kernel_id": "97289912"}, {"ref": "afonsomm98/1-dicom-to-nifti-rsna-iad", "kernel_id": "97017054"}, {"ref": "afonsomm98/4-pre-processing-volumes-rsna-iad", "kernel_id": "97017408"}, {"ref": "afonsomm98/5-finetuning-model-rsna-iad", "kernel_id": "97017436"}, {"ref": "afonsomm98/2-dicom-to-nifti-remote-rsna-iad", "kernel_id": "97017250"}, {"ref": "afonsomm98/index-rsna-iad", "kernel_id": "97012904"}, {"ref": "muichimon/rsna-intracranialaneurysm-resnet3d", "kernel_id": "97237397"}, {"ref": "keninojedahidalgo/stage2-aneurysmnet-intracranial-inference-80d895", "kernel_id": "97150856"}, {"ref": "tulsirajora/rsna2025-32ch-img-infer-lb-0-69-share", "kernel_id": "98801039"}, {"ref": "krishnavamsyk/effecientnetv1", "kernel_id": "99374543"}, {"ref": "kunalakriti/predict-aneurysm", "kernel_id": "99436511"}, {"ref": "krishnavamsyk/ensemble-code1", "kernel_id": "100302732"}, {"ref": "tarang8853/neuronetra4-0", "kernel_id": "100389107"}, {"ref": "aashkamohite/aneurysm-classification", "kernel_id": "101882747"}, {"ref": "rafaeltinajeroaga/vol-and-mask-pre-processing-quart", "kernel_id": "102752530"}, {"ref": "rafaeltinajeroaga/filtering-masks", "kernel_id": "102899745"}, {"ref": "rafaeltinajeroaga/u-net-roi-segmentation-bce-dice-and-dice", "kernel_id": "102974742"}, {"ref": "muthukrishnanabi/stagea-l-unet-heatmap-stageb-effnet-approach", "kernel_id": "102806635"}, {"ref": "urvalatif/rsna-aneurysm-1stnnunet", "kernel_id": "103721135"}, {"ref": "salaarassad/rsna-ia-teacher-effv2-mil-attn", "kernel_id": "103673480"}, {"ref": "salaarassad/preprocessingv5", "kernel_id": "103201018"}, {"ref": "rafaeltinajeroaga/u-net-plus-classification-submission-visualization", "kernel_id": "103304643"}, {"ref": "fahdahmad1911/rsna-classifier", "kernel_id": "103550669"}, {"ref": "jjg220/roi-classification-head-3dcnn", "kernel_id": "103418823"}, {"ref": "diyasilawat/inference-rsna-aneurysm", "kernel_id": "103675780"}, {"ref": "diyasilawat/fold-4", "kernel_id": "103668296"}, {"ref": "diyasilawat/next-2-folds-2-3", "kernel_id": "103655905"}, {"ref": "diyasilawat/2-folds", "kernel_id": "103631966"}, {"ref": "siefsameh2/rsna-classifier", "kernel_id": "103558768"}, {"ref": "urvalatif/rsna-intracranial-aneurysm-detection-eda", "kernel_id": "106195969"}, {"ref": "urvalatif/rsna-cta-aneurysm-meta", "kernel_id": "106452915"}, {"ref": "adfxxu/cnn-train-1st", "kernel_id": "106294289"}, {"ref": "mustafaammarr/rsna-3d-resnet-monai-v3", "kernel_id": "107442748"}, {"ref": "mehmetgoeksu/anevrizma-detection-preproccessnumpy", "kernel_id": "108439597"}, {"ref": "mustafaammarr/kaggle-inference-notebook-updated", "kernel_id": "108595116"}, {"ref": "amit393/fork-of-notebook4ff53eb38d", "kernel_id": "109348242"}, {"ref": "renlinandrew/rsna-gvrsf-v4", "kernel_id": "109971015"}, {"ref": "jadhavutkarsh/brain-anomaly-detection", "kernel_id": "109774384"}, {"ref": "mustafaammarr/kaggle-training-notebook-v3-segmentation", "kernel_id": "110114998"}, {"ref": "renlinandrew/rsna-gvrsf-v5", "kernel_id": "110723284"}, {"ref": "vivianchingzihua/rsna-gvrsf", "kernel_id": "110549917"}, {"ref": "andrewrenlin/notebook89a1274f31", "kernel_id": "111705079"}, {"ref": "renlinandrew/gvrsf", "kernel_id": "111832285"}, {"ref": "skidive/rsna2025-test", "kernel_id": "111845197"}, {"ref": "linguoyuemma/rsna-gvrsf-v6", "kernel_id": "111262446"}, {"ref": "linguoyuemma/gvrsf", "kernel_id": "111803904"}, {"ref": "mingzeli2009/rsna-gvrsf-v4", "kernel_id": "111084235"}, {"ref": "mingzeli2009/deblur", "kernel_id": "111091360"}, {"ref": "andrewrenlin/gvrsf-final", "kernel_id": "112040113"}, {"ref": "prathisthapandey/btp-02", "kernel_id": "112080252"}, {"ref": "weijunma1221/ct-scan-restoration-project", "kernel_id": "112909493"}, {"ref": "kishanmadhavag/notebook0c9f0e4645", "kernel_id": "113282967"}, {"ref": "diyasilawat/aneurysm-screening-deployment", "kernel_id": "115551132"}, {"ref": "diyasilawat/rsna-01-preprocessing", "kernel_id": "115554409"}, {"ref": "diyasilawat/rsna-02-train-folds-123", "kernel_id": "115561746"}, {"ref": "diyasilawat/rsna-03-train-folds-45", "kernel_id": "115592215"}, {"ref": "diyasilawat/data-analysis", "kernel_id": "115665448"}, {"ref": "sonamaggarwal/rsna-aneurysm-baseline", "kernel_id": "116093206"}, {"ref": "guojun1/rsna-intracranial-aneurysm-detection", "kernel_id": "117883152"}, {"ref": "farahhyehya/notebook9d0ddfa359", "kernel_id": "118012775"}, {"ref": "abhinav1609/kla-hackathon-2", "kernel_id": "130394780"}, {"ref": "antarat/neurips-w", "kernel_id": "133657628"}, {"ref": "antonizyk/notebookae59206d7a", "kernel_id": "135657356"}]}
{"competition_id": "99575", "kernels": [{"ref": "zequanbear/dna-methylation-clustering-public-lb-0-74477", "kernel_id": "82038556"}, {"ref": "zequanbear/a-starter-notebook-for-scdnam-cluster-lb-0-02842", "kernel_id": "82801503"}, {"ref": "zequanbear/datamining-2025-hw2-lb-0-56741", "kernel_id": "84248564"}, {"ref": "hoshizakisanae/private-4-solution-demonstration", "kernel_id": "84862579"}, {"ref": "robinyangmath/dna-methylation-clustering", "kernel_id": "131219968"}]}
{"competition_id": "99581", "kernels": [{"ref": "ahammadmejbah/starter-notebook-soilgap-prediction", "kernel_id": "81120198"}]}
{"competition_id": "99599", "kernels": [{"ref": "jonathanbouchet/quick-eda-modelling", "kernel_id": "81864746"}, {"ref": "imsaeid/steel-quality-prediction-starter", "kernel_id": "81256527"}]}
{"competition_id": "99603", "kernels": [{"ref": "anshuljagota/notebook5db30509bf", "kernel_id": "81154650"}]}
{"competition_id": "99650", "kernels": [{"ref": "reidjohnson/pi-ii-demo-qrf", "kernel_id": "81289409"}, {"ref": "paddykb/pi-ii-hpp-catboost-rmsewithuncertainty", "kernel_id": "81512664"}, {"ref": "thiagomantuani/pi-ii-mapie-get-started", "kernel_id": "81434737"}, {"ref": "thomasmeiner/pi-ii-hpp-to-the-point-eda", "kernel_id": "81583731"}, {"ref": "thomasmeiner/pi-ii-hpp-bluecast-with-conformal-prediction", "kernel_id": "81540981"}, {"ref": "lennarthaupts/pi-ii-a-two-stage-approach-to-uncertainty", "kernel_id": "81753771"}, {"ref": "dalianmao88/house-price-prediciton", "kernel_id": "83998360"}, {"ref": "shadesh/quantile-regression-with-lightgbm", "kernel_id": "83948803"}, {"ref": "strict4work/prediction-interval-competition-ii-house-price", "kernel_id": "83987093"}, {"ref": "chikonzeroselemani/catboost-lightgbm-xgboost", "kernel_id": "83908823"}, {"ref": "stpeteishii/house-price-lgbmregressor", "kernel_id": "84792201"}, {"ref": "stpeteishii/house-price-lgbm-90-prediction-interval", "kernel_id": "84795689"}, {"ref": "mohammedshammeer/pci-cluster-trends-and-seasonality", "kernel_id": "84487886"}, {"ref": "aasirwaseer/multi-model-ensemble-elite-level-optimization", "kernel_id": "84121149"}, {"ref": "huongdoan2020/data-visuallization-dashboard-huongdoan", "kernel_id": "84268876"}, {"ref": "masayakawamata/pic-ii-quantile-grn", "kernel_id": "84699288"}, {"ref": "abhinavsharma0706/house-pre", "kernel_id": "84878542"}, {"ref": "atharva0577/pi2-eda-cb-quantile-regression", "kernel_id": "84584402"}, {"ref": "yunsuxiaozi/pi-ii-yunbase", "kernel_id": "84938811"}, {"ref": "pradeeplachireddy/regression-house-prices", "kernel_id": "84510409"}, {"ref": "adsefef/house-price-v2", "kernel_id": "84836024"}, {"ref": "asmaadsaeed/prediction-house-price-2", "kernel_id": "84747100"}, {"ref": "cardata/house-price-prediction-interval-competition-ii", "kernel_id": "84278940"}, {"ref": "harshgupta4444/optimal-fertilzer-xgboost", "kernel_id": "84635210"}, {"ref": "harshgupta4444/interval-competition-ii", "kernel_id": "84151431"}, {"ref": "zaritron/xg-test", "kernel_id": "84916051"}, {"ref": "namannimble/gradient-boosting-hyperparameter-tuning", "kernel_id": "84055232"}, {"ref": "marcopace2000/predict-interval-catboost", "kernel_id": "84088786"}, {"ref": "bhaskarmishra44796/pic-ii-home-prediction", "kernel_id": "84013184"}, {"ref": "priyanshkeshari/house-prediction-interval-histgbr", "kernel_id": "84626033"}, {"ref": "piratesofmonotony/community-comp", "kernel_id": "84273701"}, {"ref": "gurleenkaur1910/notebook166bd2a504", "kernel_id": "84960746"}, {"ref": "himanmanduja/prediction-interval-competition-ii-house-price", "kernel_id": "84914119"}, {"ref": "tsaichijui/pi-ii-mapie-get-started", "kernel_id": "84292170"}, {"ref": "stpeteishii/house-price-xgbooat-90-prediction-interval", "kernel_id": "85777732"}, {"ref": "stpeteishii/house-price-catboost-90-prediction-interval", "kernel_id": "85773863"}, {"ref": "stpeteishii/house-price-catboostregressor", "kernel_id": "85125530"}, {"ref": "stpeteishii/house-price-xgbregressor", "kernel_id": "85179979"}, {"ref": "devilslab/house-price-prediction", "kernel_id": "85542677"}, {"ref": "ambrosm/pi-ii-mean-and-variance", "kernel_id": "85631436"}, {"ref": "shivansusoni/prediction-interval-competition-ii-house-price", "kernel_id": "85379827"}, {"ref": "masayakawamata/pi-ii-l3-hill-climb", "kernel_id": "85622598"}, {"ref": "masayakawamata/pic-ii-cqr-lgbm-baseline", "kernel_id": "85793636"}, {"ref": "vanpatangan/interval-prediction-house-prices", "kernel_id": "85430054"}, {"ref": "hafizmuaz9595/prediction-interval-2-house-price", "kernel_id": "85782941"}, {"ref": "wuanwan/house-price-forecast-eda", "kernel_id": "85658933"}, {"ref": "qifeihhh666/xgboost-lightgbm-catboost", "kernel_id": "85141953"}, {"ref": "davidebrunori/house-prediction-intervals-tutorial", "kernel_id": "85043728"}, {"ref": "sabra15/house-price-prediction-interval-lgb", "kernel_id": "85053139"}, {"ref": "singha07/house-sales-prediction", "kernel_id": "85949958"}, {"ref": "adityamsingh/house-price-pr", "kernel_id": "85262870"}, {"ref": "michakauny/house-price-analysis-price-predict", "kernel_id": "85218626"}, {"ref": "sam9058/prediction-house-price", "kernel_id": "85260704"}, {"ref": "ibrahimkhan798/prediction-interval-competition-ii-house-price", "kernel_id": "85441840"}, {"ref": "vishallodagala2000/house-price-prediction", "kernel_id": "85247150"}, {"ref": "chenzhuoya/prediction", "kernel_id": "85923239"}, {"ref": "john22472417/notebookfa4bdba70d", "kernel_id": "86324124"}, {"ref": "sanpier/comprehensive-feature-engineering", "kernel_id": "86824992"}, {"ref": "sanpier/target-normalization-make-it-gaussian", "kernel_id": "86479014"}, {"ref": "wordcards/pi2-xgb-q-reg-scipy-optimize", "kernel_id": "86110156"}, {"ref": "kkhandekar/house-prediction-interval-hybrid", "kernel_id": "86159190"}, {"ref": "shan007007/house-price-descriptive-analysis", "kernel_id": "86535388"}, {"ref": "masayakawamata/pi-ii-postprocess-for-submission", "kernel_id": "86449698"}, {"ref": "masayakawamata/pic-ii-ngboost-baseline", "kernel_id": "86692623"}, {"ref": "leokhoavinci/model-ptdltm", "kernel_id": "86716325"}, {"ref": "yurajakadari/yurajakadari-2", "kernel_id": "86380875"}, {"ref": "yurajakadari/yurajakadari", "kernel_id": "86328320"}, {"ref": "chiranjeevimchiru/prediction-interval-light-gbm-quantile-regressors", "kernel_id": "86337662"}, {"ref": "chiranjeevimchiru/pi-light-gbm-cat-boost", "kernel_id": "86920088"}, {"ref": "omerabdelmoneim/house-price-prediction", "kernel_id": "86243749"}, {"ref": "omerabdelmoneim/house-price-trend-model", "kernel_id": "86418544"}, {"ref": "liusunju/prediction-house-price-xgboost-for-beginner", "kernel_id": "86526450"}, {"ref": "liusunju/prediction-house-price-xgboost", "kernel_id": "86541301"}, {"ref": "leonardshanjilee/house-prices-lgb-model", "kernel_id": "86018236"}, {"ref": "mithileshkabadi/mithilesh2", "kernel_id": "86328505"}, {"ref": "yukuanzou/cqr-lightgbm-geocluster", "kernel_id": "86936006"}, {"ref": "shevtsovapolina/b-the-b", "kernel_id": "86518161"}, {"ref": "opbashar/house-price-prediction-intervals-with-lightgbm", "kernel_id": "86268506"}, {"ref": "yassinebenomrane/house-price-prediction", "kernel_id": "86638295"}, {"ref": "gauripatil2299/notebooked36362b8b", "kernel_id": "86914776"}, {"ref": "ahmed12998/competition-usinggradientboostingregressor", "kernel_id": "86453762"}, {"ref": "tuesdaymatched/predict-interval-using-cat", "kernel_id": "86486271"}, {"ref": "mustafaammarr/house-interval-prediction", "kernel_id": "86359769"}, {"ref": "tayloriyamoon/pi-ii-yunbase", "kernel_id": "86738769"}, {"ref": "molozhenko/pi-ii-lightgbm-quantile-models", "kernel_id": "87716987"}, {"ref": "hendrik42/map-data-visualization-of-seattle-house-prices", "kernel_id": "87172907"}, {"ref": "shan007007/house-price-model-testing", "kernel_id": "87938628"}, {"ref": "cloudkidz/house-price-predict-ll", "kernel_id": "87283616"}, {"ref": "fuxiangting/pi-ii-improved-lightgbm", "kernel_id": "87863550"}, {"ref": "masayakawamata/pi-ii-l2-nn-backward-selection", "kernel_id": "87701371"}, {"ref": "masayakawamata/pi-ii-categorical-encoding-comparison", "kernel_id": "87252963"}, {"ref": "masayakawamata/pi-ii-locally-weighted-cp-xgb-baseline", "kernel_id": "87253731"}, {"ref": "yunsuxiaozi/pi-ii-tabm-multiloss", "kernel_id": "87754439"}, {"ref": "chiranjeevimchiru/pi-ii-light-gbm-quantile-regressors-cv", "kernel_id": "87829079"}, {"ref": "chiranjeevimchiru/prediction-interval-lightgbm", "kernel_id": "87024467"}, {"ref": "chakerbaaziz/lgbm-quantiles", "kernel_id": "87912315"}, {"ref": "meaning1ess/eda-dp", "kernel_id": "87136279"}, {"ref": "vandanapathania/prediction-interval-competition-ii", "kernel_id": "87174983"}, {"ref": "mkb776/lgbreressor", "kernel_id": "87432641"}, {"ref": "hgfdrtyu/house-prediction", "kernel_id": "87544302"}, {"ref": "dureyashfeen/prediction-interval-competition-ii-house-price", "kernel_id": "87637458"}, {"ref": "kdtr1511/ensembles", "kernel_id": "87273672"}, {"ref": "kdtr1511/uncertainty-model-gamma-optimized", "kernel_id": "87197062"}, {"ref": "kdtr1511/xgboostregression-spicy-optimized", "kernel_id": "87072346"}, {"ref": "shevtsovapolina/optimized-cb-house-price-intervals", "kernel_id": "87564796"}, {"ref": "uzairyounas/house-price-pre", "kernel_id": "87768484"}, {"ref": "aneevinay/house-price-linear-regression-model", "kernel_id": "87674226"}, {"ref": "manhocheung/prediction-interval-competition-ii-house-price", "kernel_id": "87958574"}, {"ref": "yogendrabs/interval-prediction", "kernel_id": "87598667"}, {"ref": "pusapphire/pi-ii-external-data-cqr", "kernel_id": "88042751"}, {"ref": "masayakawamata/experiment-l2-nn-external-data", "kernel_id": "88038816"}, {"ref": "osmansevili/house-prediction-sweetviz", "kernel_id": "97300410"}, {"ref": "indulalviswanathan/melbourne-housing-prediction-interval-c", "kernel_id": "98098540"}]}
{"competition_id": "99658", "kernels": []}
{"competition_id": "99660", "kernels": []}
{"competition_id": "99674", "kernels": [{"ref": "plarmuseau/visualize", "kernel_id": "81612799"}, {"ref": "plarmuseau/combine-sbert-glove", "kernel_id": "82500476"}, {"ref": "plarmuseau/compare-thesaurus-vrs-text-sentiment", "kernel_id": "82400812"}, {"ref": "plarmuseau/bert-transformer-compare-different-embedding", "kernel_id": "82473905"}]}
{"competition_id": "99679", "kernels": []}
{"competition_id": "99710", "kernels": []}
{"competition_id": "99722", "kernels": [{"ref": "szllllll/whu-ai-exp2", "kernel_id": "82344572"}]}
{"competition_id": "99730", "kernels": [{"ref": "guandavid/notebook9bacb24067", "kernel_id": "95081930"}]}
{"competition_id": "99739", "kernels": [{"ref": "arjunrai1/mnist-digits", "kernel_id": "84725297"}]}
{"competition_id": "99743", "kernels": []}
{"competition_id": "99767", "kernels": [{"ref": "dminhtran/lightgbm-notebook", "kernel_id": "81916686"}]}
{"competition_id": "99789", "kernels": []}
{"competition_id": "99807", "kernels": [{"ref": "saffronww/the-naivest-baseline", "kernel_id": "81436729"}, {"ref": "volkovoleg/notebook98f73743fc", "kernel_id": "81637815"}, {"ref": "didartulegen/21vek-selection-submission", "kernel_id": "83401932"}, {"ref": "vladimirkolbasin/21vek-query-classification-kolbasinvv", "kernel_id": "85150131"}]}
{"competition_id": "99811", "kernels": [{"ref": "dawidx/baseline-solution", "kernel_id": "85746343"}, {"ref": "samerattrah/gemma-for-fake-text-detection", "kernel_id": "93108601"}]}
{"competition_id": "99813", "kernels": []}
{"competition_id": "99820", "kernels": [{"ref": "samuelkmlb/processing-example-for-the-mesh-data", "kernel_id": "81376077"}]}
{"competition_id": "99895", "kernels": [{"ref": "gabriellesonata/contest00001", "kernel_id": "81601807"}, {"ref": "annasergeeva0410/sergeeva", "kernel_id": "84103581"}, {"ref": "aiykikiki/acoustic-event-abramova", "kernel_id": "84412139"}]}
{"competition_id": "99927", "kernels": []}
{"competition_id": "99934", "kernels": [{"ref": "alisagoicochea/notebook7d61c5e25f", "kernel_id": "104119279"}]}
{"competition_id": "99937", "kernels": []}
{"competition_id": "99938", "kernels": [{"ref": "nikitamanaenkov/stock-price-prediction-sample", "kernel_id": "81849273"}, {"ref": "aklimakhanamlima/stock-price-prediction", "kernel_id": "107648843"}, {"ref": "linashpileva/stock-price-prediction-challenge", "kernel_id": "116429604"}]}
{"competition_id": "100023", "kernels": [{"ref": "rafaeldrago/2025-ness-statathon", "kernel_id": "81668280"}]}
{"competition_id": "100032", "kernels": []}
{"competition_id": "100045", "kernels": []}
{"competition_id": "100070", "kernels": [{"ref": "kadacheahmedrami/forecast", "kernel_id": "81792065"}, {"ref": "rafaeldrago/stock-forcasting-regression", "kernel_id": "81596429"}]}
{"competition_id": "100073", "kernels": []}
{"competition_id": "100074", "kernels": [{"ref": "saifhossamaldin/data-bounty", "kernel_id": "100476815"}]}
{"competition_id": "100076", "kernels": [{"ref": "mohamedtaib/data-bounty-network-edge-classification", "kernel_id": "81636354"}]}
{"competition_id": "100082", "kernels": []}
{"competition_id": "100085", "kernels": []}
{"competition_id": "100090", "kernels": [{"ref": "sanchitsharma1995/vitals-and-vitalmins-eda-predictions", "kernel_id": "81507217"}]}
{"competition_id": "100102", "kernels": []}
{"competition_id": "100109", "kernels": []}
{"competition_id": "100226", "kernels": []}
{"competition_id": "100276", "kernels": []}
{"competition_id": "100278", "kernels": []}
{"competition_id": "100315", "kernels": []}
{"competition_id": "100317", "kernels": []}
{"competition_id": "100338", "kernels": []}
{"competition_id": "100339", "kernels": [{"ref": "harissabilipb/notebook4b38788875", "kernel_id": "84274128"}]}
{"competition_id": "100343", "kernels": []}
{"competition_id": "100351", "kernels": []}
{"competition_id": "100356", "kernels": [{"ref": "tayloriyamoon/uc-quant-getting-started", "kernel_id": "86738326"}]}
{"competition_id": "100366", "kernels": [{"ref": "dataaddict71/material-informatics-ensemble", "kernel_id": "82483782"}]}
{"competition_id": "100385", "kernels": [{"ref": "eenysh/fid-computing-and-submission", "kernel_id": "82348614"}, {"ref": "dalloliogm/beyond-visible-spectrum-challenge-2-eda", "kernel_id": "83173621"}, {"ref": "dalloliogm/vae-approach-to-beyond-visible", "kernel_id": "83187697"}]}
{"competition_id": "100445", "kernels": []}
{"competition_id": "100467", "kernels": []}
{"competition_id": "100470", "kernels": [{"ref": "egorgij21/baseline", "kernel_id": "82397033"}, {"ref": "olegg239/drokanovoleg-nlp1", "kernel_id": "82415833"}, {"ref": "nikasmirnova/v0001", "kernel_id": "82401621"}, {"ref": "alfan89/steering-non-sae-evading-ai-text", "kernel_id": "87940395"}]}
{"competition_id": "100476", "kernels": []}
{"competition_id": "100485", "kernels": [{"ref": "gabecalvo/hill-of-towie-power-prediction-getting-started", "kernel_id": "81913316"}, {"ref": "alexclerc/hot-prediction-using-wind-up", "kernel_id": "82486039"}, {"ref": "connyfromtheblock/xgboost-predicting-turbine-production-0-51-mae", "kernel_id": "83726007"}, {"ref": "davidbossanyi/hill-of-towie-power-prediction", "kernel_id": "84502271"}, {"ref": "charlie9578/hill-of-towie-power-prediction-automl", "kernel_id": "87413439"}, {"ref": "johnnyhyland/hot-autogluon-baseline", "kernel_id": "87113403"}, {"ref": "johnnyhyland/hot-cv-folds", "kernel_id": "87284204"}, {"ref": "dimitriosanagnostos/graph-and-recurrent-nn-playground", "kernel_id": "89913688"}, {"ref": "connyfromtheblock/1st-place-solution-49-21-mae-slides-24-9-call", "kernel_id": "92978737"}]}
{"competition_id": "100496", "kernels": []}
{"competition_id": "100524", "kernels": []}
{"competition_id": "100548", "kernels": []}
{"competition_id": "100566", "kernels": []}
{"competition_id": "100612", "kernels": []}
{"competition_id": "100674", "kernels": []}
{"competition_id": "100684", "kernels": []}
{"competition_id": "100718", "kernels": [{"ref": "baserker/notebookdaa269881f", "kernel_id": "81953950"}, {"ref": "denisandrikov/reservoir-computing-forecast", "kernel_id": "82973089"}, {"ref": "denisandrikov/autogluon-chronos-forecast", "kernel_id": "83367675"}, {"ref": "denisandrikov/autogloun-feedforward-network-forecast", "kernel_id": "83863310"}]}
{"competition_id": "100723", "kernels": [{"ref": "jjurou/cleaning-steel-plate-defect", "kernel_id": "103423204"}]}
{"competition_id": "100724", "kernels": []}
{"competition_id": "100725", "kernels": [{"ref": "tamareltech/fork-of-insurance-modeling", "kernel_id": "82819471"}, {"ref": "tamareltech/insurance-modeling", "kernel_id": "82815316"}, {"ref": "iemanihsan/predict-insurance-amount", "kernel_id": "83588510"}, {"ref": "tamareltech/flaml-automl-optimize-insurance-modeling", "kernel_id": "83193570"}, {"ref": "tamareltech/autoencoder-flaml-optimize-insurance-mode", "kernel_id": "83631504"}, {"ref": "tamareltech/nn-flaml-optimize-insurance-mode-4d3997", "kernel_id": "83611601"}, {"ref": "elasgustavoknaus/predicting-financial-risk-gpu-tensorflow-tunne", "kernel_id": "87554587"}, {"ref": "ngtrnthnh/predicting-financial-risk", "kernel_id": "90688958"}, {"ref": "shourya2006/notebook23d04f283d", "kernel_id": "94554935"}]}
{"competition_id": "100729", "kernels": []}
{"competition_id": "100732", "kernels": []}
{"competition_id": "100734", "kernels": [{"ref": "silasworkman/metagrad-scode", "kernel_id": "84590541"}]}
{"competition_id": "100890", "kernels": [{"ref": "michau96/kaggling-as-superman-batman-robin-or-avengers", "kernel_id": "15307447"}, {"ref": "paultimothymooney/how-to-get-started-with-the-meta-kaggle-hackathon", "kernel_id": "83961524"}, {"ref": "mpwolke/gold-standard-evaluations-metakaggle", "kernel_id": "83975685"}, {"ref": "dalloliogm/am-i-the-slowest-kaggle-user-ever", "kernel_id": "84287980"}, {"ref": "mikeskim/top-kaggler-llm-train", "kernel_id": "84663815"}, {"ref": "mikeskim/make-kaggler-dataset-dual", "kernel_id": "84682252"}, {"ref": "mikeskim/dual-kaggler-inference", "kernel_id": "84725834"}, {"ref": "dedquoc/meta-kaggle-hackathon-kernels-quick-analysis", "kernel_id": "84479845"}, {"ref": "likithaabbareddy/hack-the-hackathon-my-kaggle-virality-quest", "kernel_id": "84661495"}, {"ref": "dynamo14324/meta-kaggle-exploratory-analysis-insights", "kernel_id": "84037615"}, {"ref": "fernandosr85/kaggle-s-resource-independence-paradox", "kernel_id": "84669347"}, {"ref": "fernandosr85/from-317-to-18-days-ai-speed-revolution-analysis", "kernel_id": "84039409"}, {"ref": "fernandosr85/kaggle-s-strategic-network-advantage", "kernel_id": "84174744"}, {"ref": "betlbaak/exploring-submissions-on-kaggle-competitions", "kernel_id": "84205792"}, {"ref": "youssefelzahar/eda-for-competition-and-users", "kernel_id": "84976750"}, {"ref": "balajikartheek/starter-code", "kernel_id": "84820401"}, {"ref": "panagiotistoloudis/metakaggle", "kernel_id": "84994137"}, {"ref": "julietarubis/kernel-trends-analysis", "kernel_id": "84671114"}, {"ref": "endofnight17j03/meta-kaggle-hackathon-2025", "kernel_id": "84862354"}, {"ref": "tulayppppp/data-metahackathon", "kernel_id": "84760352"}, {"ref": "ayushkhaire/resource-meta-kaggle-code-dataset-miner", "kernel_id": "84502043"}, {"ref": "ayushkhaire/resource-meta-kaggle-code-kernels-analyzer", "kernel_id": "84977008"}, {"ref": "kevinbnisch/most-used-packages-methods-on-kaggle", "kernel_id": "84650887"}, {"ref": "kevinbnisch/python-or-r-what-do-kagglers-use", "kernel_id": "84658633"}, {"ref": "krutarthkayparmar/basic-eda-meta-kaggle-code-messageforum-csv", "kernel_id": "84244802"}, {"ref": "kamalkumarmachireddy/meta-kaggle-insights", "kernel_id": "84852518"}, {"ref": "cesarpaulogove/magona-city1", "kernel_id": "84913431"}, {"ref": "rolaislait/notebookc97be4d68a", "kernel_id": "84266566"}, {"ref": "abdullahbutt1234/how-to-get-started-with-the-meta-kaggle-hackathon", "kernel_id": "84283604"}, {"ref": "vyassenthilkumar/hackatron", "kernel_id": "84416309"}, {"ref": "lucasbometon/modal-meta-kaggle-hackathon-2025", "kernel_id": "84995373"}, {"ref": "premashtekar/premmetakaggle", "kernel_id": "84130880"}, {"ref": "abdulrahmanqaten/meta-kaggle-hacthon", "kernel_id": "84876718"}, {"ref": "haribaburaju/main-track-notebook", "kernel_id": "84657837"}, {"ref": "bwandowando/kaggle-events-and-new-user-registration-counts", "kernel_id": "85158883"}, {"ref": "dimakyn/meta-kaggle-hackathon-get-funny-names", "kernel_id": "85330543"}, {"ref": "dimakyn/meta-kaggle-hackathon-users", "kernel_id": "85115224"}, {"ref": "dimakyn/metakaggle-2025-start", "kernel_id": "85093372"}, {"ref": "fernandosr85/ai-ecosystem-intelligence-cross-platform-view", "kernel_id": "85156804"}, {"ref": "balajikartheek/the-psychology-of-winning-behavioral-patterns", "kernel_id": "85743486"}, {"ref": "babydriver1233/meta-kaggle-hackathon-analysis-framework", "kernel_id": "85525146"}, {"ref": "stevensio/kaggle-journeys-cohorts-and-competition-shifts", "kernel_id": "85434816"}, {"ref": "dnkumars/metakaggle-user-demographics-forecast", "kernel_id": "85222025"}, {"ref": "dnkumars/metakaggle3-kernal-s-crux", "kernel_id": "85670534"}, {"ref": "ayushkhaire/my-writeup-the-golden-contribution-of-kagglers", "kernel_id": "85322458"}, {"ref": "kevinbnisch/what-packages-are-kagglers-using-in-competitions", "kernel_id": "85733212"}, {"ref": "riteshverma6511/meta-kaggle-hackathon-exploratory-data-analysis", "kernel_id": "85808148"}, {"ref": "bukkasairohith02/meta-kaggle-hackathon-sairohith-bukka", "kernel_id": "85732064"}, {"ref": "bukkasairohith02/meta-kaggle-hackathon", "kernel_id": "85876073"}, {"ref": "hgfdrtyu/cracking-kaggle-evolution-of-competition-trends", "kernel_id": "85967369"}, {"ref": "sourabhchindage/meta-dataset-insights", "kernel_id": "85488522"}, {"ref": "alledeli/meta-kaggle-data-cleaning-merge-competitions", "kernel_id": "85367210"}, {"ref": "elijahalengaafola/exploratory-data-analysis-of-kaggle-competitions", "kernel_id": "85451896"}, {"ref": "aarti1110/meta-kaggle-eda-exploring-competition-trends-over", "kernel_id": "85319192"}, {"ref": "spitfire2nd/why-should-i-kaggle-eda", "kernel_id": "86849752"}, {"ref": "bwandowando/bertopics-of-featured-research-competitions", "kernel_id": "86291289"}, {"ref": "bwandowando/bertopics-of-top-20-competitions-with-most-users", "kernel_id": "86353430"}, {"ref": "ahsuna123/what-if-this-was-built-in-kaggle", "kernel_id": "86425685"}, {"ref": "pira245/a-meta-analysis-of-ml-competition-dynamics", "kernel_id": "86362236"}, {"ref": "lequangminh/most-used-algorithm-for-nlp-competition", "kernel_id": "86797671"}, {"ref": "krupadharamshi/what-s-in-a-kaggle-comp-krupa", "kernel_id": "86994238"}, {"ref": "krithikalluri/mapping-the-hidden-mentor-network-on-kaggle", "kernel_id": "86656056"}, {"ref": "phoenix0706/meta-kaggle-hack-eda", "kernel_id": "86482919"}, {"ref": "prk123/qml-meta-kaggle", "kernel_id": "86697295"}, {"ref": "nikhithaselvaganesh/ns-ss", "kernel_id": "86928907"}, {"ref": "dnkumars/metakaggle5-labels-of-recogniton", "kernel_id": "86145941"}, {"ref": "dnkumars/metakaggle4-enigmatic-episodes", "kernel_id": "86039963"}, {"ref": "dnkumars/metakaggle7-contests-rewards", "kernel_id": "86803820"}, {"ref": "dnkumars/metakagglecode-demystifying-code", "kernel_id": "86562232"}, {"ref": "awadmali/meta-kaggle-hackathon-v1", "kernel_id": "86314997"}, {"ref": "manikarikhari/the-meta-kaggle-hackathon", "kernel_id": "86611072"}, {"ref": "ajeshthangaraj/meta-kaggle-hackathon", "kernel_id": "86700764"}, {"ref": "kevinbnisch/what-technologies-do-winning-kagglers-use", "kernel_id": "86091838"}, {"ref": "kunalinfinite/kaggle-user-with-their-organizations", "kernel_id": "86105955"}, {"ref": "nagarajtks/kaggle-meta-analysis", "kernel_id": "86848105"}, {"ref": "rolaislait/performanceprediction", "kernel_id": "86782716"}, {"ref": "mandu5/kaggle-competition-recommender", "kernel_id": "86983201"}, {"ref": "deepmalasinghrajput/kagglehack", "kernel_id": "86913799"}, {"ref": "amitsahu01234/starter-analysis-notebook", "kernel_id": "86541578"}, {"ref": "shlokkumar2303/how-to-win-a-competition-on-kaggle", "kernel_id": "86265116"}, {"ref": "ronny0815/kernel-eda-metakaggle", "kernel_id": "86864555"}, {"ref": "loyisongcobo/notebookdcebe71d10", "kernel_id": "86412915"}, {"ref": "artemyvoronov/upvote-me-does-it-work-on-kaggle", "kernel_id": "86944007"}, {"ref": "sinchanasmartha/meta-hackathon", "kernel_id": "86912051"}, {"ref": "sohanlalkalirawana/meta-kaggle-hackathon-dataset", "kernel_id": "86734181"}, {"ref": "siddhidhuri/meta-kaggle-hackathon", "kernel_id": "86933808"}, {"ref": "m0delcrafter/meta-kaggle-code", "kernel_id": "86406920"}, {"ref": "raitest/kaggle-hackaton-tag-analysis-usage", "kernel_id": "87776370"}, {"ref": "parulpandey/studying-dormancy-and-reactivation-in-kagglers", "kernel_id": "87368418"}, {"ref": "spitfire2nd/why-should-i-kaggle", "kernel_id": "87462945"}, {"ref": "vinitkp/meta-user", "kernel_id": "87338428"}, {"ref": "tobimichigan/decoding-kernel-csv-patterns-insights-trends", "kernel_id": "87472811"}, {"ref": "mahmudds/kaggle-odyssey-tracing-ai-ml-evolution-using-meta", "kernel_id": "87520361"}, {"ref": "arose21/how-has-kaggle-changed-the-tools-we-use", "kernel_id": "87085478"}, {"ref": "gouriprakash/ai-in-healthcare", "kernel_id": "87490837"}, {"ref": "dkiselev82/meta-kaggle-analysis-full-report", "kernel_id": "87070060"}, {"ref": "dkiselev82/notebookcc94f21b6f", "kernel_id": "87071116"}, {"ref": "dkiselev82/notebook04e22ada3c", "kernel_id": "87111054"}, {"ref": "dkiselev82/notebook958f89acea", "kernel_id": "87147748"}, {"ref": "priyharshgangwar/competitive-constellations-kaggle-s-kernels", "kernel_id": "87424917"}, {"ref": "priyharshgangwar/mapping-kaggle-s-evolution-openai-retagged", "kernel_id": "87553111"}, {"ref": "alijalali4ai/python-package-usage-trends-patterns-on-kaggle", "kernel_id": "87422081"}, {"ref": "ankandebnath/meta-kaggle-hackathon-1", "kernel_id": "87451982"}, {"ref": "petermoorhouse/discussion-activity-competition-success", "kernel_id": "87215610"}, {"ref": "ajanraj25/the-kaggler-s-playbook", "kernel_id": "87554251"}, {"ref": "nilaltin/kaggle-ecosystem-evolution-a-meta-analysis2", "kernel_id": "87173671"}, {"ref": "nilaltin/kaggle-ecosystem-evolution-a-meta-analysis", "kernel_id": "87349734"}, {"ref": "lakshyamanglani/submission", "kernel_id": "87515625"}, {"ref": "jaejohn/swarm-intelligence-in-competitive-ml", "kernel_id": "87547279"}, {"ref": "sheldonaristide/01-enhanced-statistical-analysis", "kernel_id": "87555279"}, {"ref": "sudhanshu3112/kaggle-ml-waves-trends-2016-2024", "kernel_id": "87308058"}, {"ref": "abayommcrubenanaam/meta-kaggle-insights-medals-methods-and-makers", "kernel_id": "87472595"}, {"ref": "cayocesar/notebook20b797f540", "kernel_id": "87502115"}, {"ref": "awais5067/kaggling-as-superman-batman-robin-or-avengers", "kernel_id": "87518081"}, {"ref": "adityarawatmitblr/listening-to-kaggle-an-nlp-ethnography", "kernel_id": "87506612"}, {"ref": "tahaalselwii/kaggle-winning-solutions-ai-trends-insights", "kernel_id": "87409247"}, {"ref": "ayanbashirsheikh/quiet-coders-to-kaggle-champions", "kernel_id": "87283338"}, {"ref": "apupapu/meta-kaggle-code", "kernel_id": "87264093"}, {"ref": "ssr111/from-kernels-to-journals-kaggle-meets-academia", "kernel_id": "87560246"}, {"ref": "jatinsabari/meta-x-kaggle", "kernel_id": "87415268"}, {"ref": "gauripatil2299/meta-kaggle-hackathon", "kernel_id": "87588045"}, {"ref": "mohamedzakaria91/notebookededdfd3da", "kernel_id": "87024379"}, {"ref": "mohamedzakaria91/meta-kaggle", "kernel_id": "87025264"}, {"ref": "scmqsys/notebookde349c1572", "kernel_id": "87551806"}, {"ref": "scmqsys/notebookd3d21be575", "kernel_id": "87526063"}, {"ref": "aryansingh2000/meta-kaggle-hackathon", "kernel_id": "87042216"}, {"ref": "rajeshmanivibez/meta-kaggle-hackathon", "kernel_id": "87087683"}, {"ref": "aymanmohammad278/meta-kaggle-hackathon-notebook", "kernel_id": "87247366"}, {"ref": "ronny0815/preproceesing-kernel-models", "kernel_id": "87187783"}, {"ref": "ronny0815/kernel-s-join", "kernel_id": "87187612"}, {"ref": "ronny0815/csv-to-parquet-converting", "kernel_id": "87190891"}, {"ref": "ronny0815/model-s-join", "kernel_id": "87215174"}, {"ref": "ronny0815/forum-s-extraordinary-values", "kernel_id": "87216678"}, {"ref": "ronny0815/merged-users-divide-and-merge-with-another-tables", "kernel_id": "87223182"}, {"ref": "ronny0815/meta-kaggle-eda", "kernel_id": "87514044"}, {"ref": "ronny0815/sentimental-analysis-forums", "kernel_id": "87519840"}, {"ref": "ronny0815/categorization-llm", "kernel_id": "87519873"}, {"ref": "alledeli/regression-for-predicting-kaggle-active-users", "kernel_id": "87207436"}, {"ref": "alledeli/eda-for-kaggle-user-activity-dashboard-comp", "kernel_id": "87094975"}, {"ref": "alledeli/meta-kaggle-user-funnel-analysis", "kernel_id": "87037008"}, {"ref": "alledeli/pre-processing-meta-kaggle-forum-tables", "kernel_id": "87053755"}, {"ref": "kimsoo2/meta-kaggle-static-cluster-analysis", "kernel_id": "87507003"}, {"ref": "kimsoo2/meta-kaggle-static-clustering", "kernel_id": "87507219"}, {"ref": "ghriebabdelkarimhani/meta-kaggle-ghrieb", "kernel_id": "87385593"}, {"ref": "japhethroko/bedtimestoryforprogrammer-exe", "kernel_id": "87270223"}, {"ref": "knvsaimeghana/toxishield-toxic-comment-detection-notebook", "kernel_id": "87334816"}, {"ref": "sarvpreetkaur22/ai-without-borders-meta-hackathon", "kernel_id": "87268939"}, {"ref": "sarvpreetkaur22/preprocessing-ntb-for-meta-hackathon", "kernel_id": "87286248"}, {"ref": "sg0104/how-ai-is-reshaping-kaggle-competitions", "kernel_id": "87012120"}, {"ref": "faniyonm/meta-kaggle-hackathon-2025", "kernel_id": "87494380"}, {"ref": "enesaltunba/meta-kaggle-hackathon-team-fox-penguin", "kernel_id": "87494269"}, {"ref": "kddnm1/the-kaggle-effect", "kernel_id": "87554121"}, {"ref": "mennamh/meta-kaggle-hackathon", "kernel_id": "87435205"}, {"ref": "payaldhokane/metadata", "kernel_id": "88817542"}]}
{"competition_id": "100946", "kernels": [{"ref": "timriggins/baseline-cv-underfitting", "kernel_id": "82396700"}, {"ref": "funmagster/kulibabastepan-cv", "kernel_id": "82405130"}, {"ref": "pingvinnn/11111-v1", "kernel_id": "82411842"}, {"ref": "olegg239/drokanovoleg-cv1", "kernel_id": "82399393"}, {"ref": "nikasmirnova/v2-v3", "kernel_id": "82397733"}, {"ref": "stmproduction/baseline-cv-underfitting", "kernel_id": "84709030"}, {"ref": "denbug/do-re-mi-fa-sol-la-cv", "kernel_id": "112506867"}, {"ref": "i9kits/baseline-cv-underfitting", "kernel_id": "112604315"}, {"ref": "souriss/nsct-baseline-cv-underfitting", "kernel_id": "114152486"}, {"ref": "mugishapacifique/cv-underfitting-3rd-competition", "kernel_id": "119835937"}, {"ref": "algosai/baseline-cv-underfitting", "kernel_id": "120426190"}]}
{"competition_id": "100949", "kernels": [{"ref": "misheelsodgerel/jishee-code-ipynb", "kernel_id": "82615933"}]}
{"competition_id": "100952", "kernels": [{"ref": "ilseyaralimova/baseline-for-nlp-task", "kernel_id": "82542005"}, {"ref": "kostopr4v/sigalovkonstantin-bestsub", "kernel_id": "82564073"}, {"ref": "kostopr4v/sigalovkonstantin-submit-63559ef3", "kernel_id": "82542380"}, {"ref": "funmagster/baseline-781e12", "kernel_id": "82556334"}, {"ref": "rewive/baseline-for-nlp-task", "kernel_id": "82555412"}, {"ref": "sefixnep/semyonrodionovneoai-8", "kernel_id": "82545412"}, {"ref": "levkayumov/kayumov-lev-detection-and-slot-filling", "kernel_id": "82553033"}, {"ref": "zabojeb/yaroslawvoropaew-day3-task2-v1", "kernel_id": "82542319"}, {"ref": "nikasmirnova/v02-v03", "kernel_id": "82554058"}, {"ref": "alfan89/baseline-for-nlp-task-versi-1", "kernel_id": "87956862"}, {"ref": "aivaichik/notebook5570706939", "kernel_id": "117399508"}, {"ref": "orionaraf/fine-tuning-twice", "kernel_id": "118389483"}]}
{"competition_id": "100973", "kernels": [{"ref": "ilseyaralimova/broken-bert-baseline", "kernel_id": "82446764"}, {"ref": "funmagster/kulibabastepan-broken-bert-solutions", "kernel_id": "82477035"}, {"ref": "matveibeliaev/matveibeliaev-v4", "kernel_id": "82470526"}, {"ref": "sefixnep/semyon-rodionov-task5", "kernel_id": "82474862"}, {"ref": "pingvinnn/11111-v5", "kernel_id": "82471917"}, {"ref": "levkayumov/kayumom-lev-day2-brokenbert", "kernel_id": "82470687"}, {"ref": "olegg239/oleg-drokanov-nlp2", "kernel_id": "82475168"}, {"ref": "zabojeb/voropaewyaroslaw-day2-task2-v1", "kernel_id": "82475581"}, {"ref": "nikasmirnova/v5-v4", "kernel_id": "82470478"}, {"ref": "atikuwu/broken-bert-baseline", "kernel_id": "109166842"}, {"ref": "denbug/bebebert", "kernel_id": "113391945"}, {"ref": "max0428/broken-bert-baseline", "kernel_id": "117609084"}, {"ref": "tungdd2009/broken-bert-baseline-attempt", "kernel_id": "117546873"}, {"ref": "mugishapacifique/broken-bert-baseline", "kernel_id": "120350504"}, {"ref": "edith0gat/broken-bert-baseline-my", "kernel_id": "120995447"}]}
{"competition_id": "100977", "kernels": [{"ref": "timriggins/basel1ne-tricy-table-data", "kernel_id": "82397661"}, {"ref": "funmagster/kulibabastepan-tricy-table-data", "kernel_id": "82399626"}, {"ref": "nikitaaromanovv/neoai-2025-tricy-table-data", "kernel_id": "82406168"}, {"ref": "pingvinnn/11112-v2", "kernel_id": "82398712"}, {"ref": "olegg239/drokanovoleg-ml1", "kernel_id": "82405467"}, {"ref": "nikasmirnova/v1-v2", "kernel_id": "82399339"}, {"ref": "atikuwu/fork-of-fork-of-basel1ne-tricy-table-data-66d44c", "kernel_id": "106941737"}, {"ref": "shokhjahonisroilov/tricy-table-best-score-2-7", "kernel_id": "106804262"}, {"ref": "balint46/neoai-table-data", "kernel_id": "107309856"}, {"ref": "kabynks/neoai-table-data-2-4-score", "kernel_id": "109540617"}, {"ref": "themixa/notebookf6fe0772c0", "kernel_id": "112481472"}, {"ref": "i9kits/basel1ne-tricy-table-data", "kernel_id": "112410650"}, {"ref": "avazaku/tricy-table-data-2-62-private-score", "kernel_id": "115001961"}]}
{"competition_id": "100996", "kernels": []}
{"competition_id": "101006", "kernels": []}
{"competition_id": "101007", "kernels": []}
{"competition_id": "101017", "kernels": [{"ref": "pranavprajapati16/unsupervised-yolo", "kernel_id": "85100561"}, {"ref": "sohampenshanwar/kaggle-olympiad-crowd-detection", "kernel_id": "85292452"}]}
{"competition_id": "101035", "kernels": [{"ref": "timriggins/basel1ne-cluster-1mages", "kernel_id": "82470582"}, {"ref": "funmagster/kulibabastepan-cluster-1mages-solutions", "kernel_id": "82481275"}, {"ref": "waujito/v7-v4", "kernel_id": "82471039"}, {"ref": "artemgoncarov/neoai-2025-cluster-pictures", "kernel_id": "82488640"}, {"ref": "sefixnep/semyon-rodionov", "kernel_id": "82470914"}, {"ref": "pingvinnn/1111-vneed", "kernel_id": "82474281"}, {"ref": "levkayumov/neoai-day2-kayumov-lev-clusterpictures", "kernel_id": "82470739"}, {"ref": "olegg239/oleg-drokanov-cv2", "kernel_id": "82471080"}, {"ref": "nikasmirnova/v5-v1", "kernel_id": "82472445"}, {"ref": "andrewsokolovsky/neoai-2025-cluster-pictures-0-04373", "kernel_id": "82504952"}, {"ref": "tungdd2009/k-means-clustering-template", "kernel_id": "84065032"}, {"ref": "i9kits/basel1ne-cluster-1mages", "kernel_id": "112381445"}]}
{"competition_id": "101039", "kernels": [{"ref": "kotrix/range-normalized-mean-absolute-error", "kernel_id": "82752293"}, {"ref": "ramezashendy/sample-submission-notebook", "kernel_id": "83968796"}, {"ref": "ramezashendy/poisoned-models-probing-notebook", "kernel_id": "83969182"}, {"ref": "ramezashendy/clean-model-training-notebook", "kernel_id": "83969654"}, {"ref": "ambrosm/thh-first-baseline", "kernel_id": "84255846"}, {"ref": "kakuteki/baseline-trojan-horse-hunt", "kernel_id": "84141829"}, {"ref": "liusunju/trojan-horse-hunt-in-time-series-forecasting", "kernel_id": "84197229"}, {"ref": "artificialjosh/trojans-suck", "kernel_id": "84777030"}, {"ref": "ambrosm/thh-gradient-descent", "kernel_id": "85218409"}, {"ref": "ambrosm/thh-quickstart", "kernel_id": "85167065"}, {"ref": "abhinavsharma0706/thh-casting", "kernel_id": "85199525"}, {"ref": "michaelhiggins212/how-ya-doin-merry-christmas", "kernel_id": "85280187"}, {"ref": "michaelhiggins212/thh-quickstart", "kernel_id": "85536066"}, {"ref": "michaelhiggins212/score-18802-starter-code", "kernel_id": "85579329"}, {"ref": "mos3santos/test-caval-de-tr-i", "kernel_id": "86464666"}, {"ref": "lennarthaupts/thh-greedy-goose-p", "kernel_id": "86791049"}, {"ref": "awadmali/fast-trojan-horse-hunt-in-time-series-forecasting", "kernel_id": "86291716"}, {"ref": "tayloriyamoon/merry-christmas-2-0", "kernel_id": "86741490"}, {"ref": "ramezashendy/optimization-baseline-notebook", "kernel_id": "87781395"}, {"ref": "michaelhiggins212/thh-greedy-goose-updated", "kernel_id": "87732196"}, {"ref": "gauripatil2299/trojan-horse-hunt-in-time-series-forecasting", "kernel_id": "87027811"}, {"ref": "stpeteishii/gradient-based-trojan-trigger-detection-in-n-hits", "kernel_id": "88748385"}, {"ref": "irfanahmad1/unveiling-esa-data-10-visuals", "kernel_id": "88066408"}, {"ref": "irfanahmad1/thh-greedy-goose-enhanced", "kernel_id": "88469907"}, {"ref": "prothomeshmistry/notebook453a1d9b92", "kernel_id": "88061278"}, {"ref": "prothomeshmistry/notebookd1570a18f9", "kernel_id": "88144978"}, {"ref": "codingmaster24/trojan-horse-hunt-in-time-series-forecasting-v1", "kernel_id": "88911205"}, {"ref": "michaelhiggins212/test-your-trigger-reconstruction-here", "kernel_id": "88522186"}, {"ref": "michaelhiggins212/black-box-optimization-methods", "kernel_id": "88517764"}, {"ref": "michaelhiggins212/genetic-algorithm-a-type-of-black-box-optimizatio", "kernel_id": "88166454"}, {"ref": "muhammedshafeeh/eda-initial", "kernel_id": "88018167"}, {"ref": "tamareltech/thh-greedy-goose-enhanced", "kernel_id": "88580308"}, {"ref": "gauravparkhedkar/horseg", "kernel_id": "88088266"}, {"ref": "yerne39/darts-0-33-0-nhitsmodel-probing-trojan", "kernel_id": "89030290"}, {"ref": "kuntalmaity/trojan-horse-hunt-timeseries", "kernel_id": "89927362"}, {"ref": "daltongabrielomondi/thh-greedy-goose-enhanced", "kernel_id": "89254256"}, {"ref": "ambrosm/thh-zeroing-the-weak-channels", "kernel_id": "90432610"}, {"ref": "rhsliza/trojan-horse-competition-by-sl", "kernel_id": "90695129"}, {"ref": "daosyduyminh/notebookad5380f5f5", "kernel_id": "90097530"}, {"ref": "mohamedfatyan/notebook771ba390e2", "kernel_id": "90012822"}, {"ref": "x75a40890/hunting-space-trojan-horses-8th-place", "kernel_id": "91359534"}, {"ref": "lalit03/genetic-grad-descent", "kernel_id": "92084123"}, {"ref": "vish3949/ai-project", "kernel_id": "97706810"}, {"ref": "bhumishanbhag/notebook8199f9b870", "kernel_id": "133200255"}]}
{"competition_id": "101098", "kernels": []}
{"competition_id": "101100", "kernels": [{"ref": "denisandrikov/completion-example-step-response", "kernel_id": "82322570"}, {"ref": "terralui/notebook2d78444446", "kernel_id": "83720974"}]}
{"competition_id": "101110", "kernels": []}
{"competition_id": "101113", "kernels": []}
{"competition_id": "101127", "kernels": []}
{"competition_id": "101212", "kernels": []}
{"competition_id": "101214", "kernels": []}
{"competition_id": "101215", "kernels": []}
{"competition_id": "101242", "kernels": [{"ref": "batyrpro/day4-2nd-day", "kernel_id": "85861818"}, {"ref": "smashav22/llm-sentence-transformer", "kernel_id": "96331148"}, {"ref": "dauletsabdenov/notebookcdd01f0878", "kernel_id": "97083235"}, {"ref": "dauletsabdenov/notebook6354317ece", "kernel_id": "97112132"}, {"ref": "fichka/solution-0-70", "kernel_id": "102261771"}]}
{"competition_id": "101243", "kernels": [{"ref": "sneddy/mnist-rotation-starter", "kernel_id": "82404550"}, {"ref": "romanahmed2024/mnist-rotation-challenge", "kernel_id": "84941755"}, {"ref": "batyrpro/mnist-rotation-day-4", "kernel_id": "85856017"}, {"ref": "smashav22/mnist", "kernel_id": "96648064"}]}
{"competition_id": "101258", "kernels": []}
{"competition_id": "101264", "kernels": []}
{"competition_id": "101276", "kernels": []}
{"competition_id": "101282", "kernels": [{"ref": "rashmi08singh/brain-image-and-neurodegenerative-disorders", "kernel_id": "83000204"}]}
{"competition_id": "101330", "kernels": [{"ref": "syonmansur/beginner-notebook-acm-ai-minihack", "kernel_id": "83128974"}, {"ref": "saikarthikmagham/notebook36022ede94", "kernel_id": "83128756"}, {"ref": "daehoonchung/notebook", "kernel_id": "83128752"}, {"ref": "antarachugh/beginner-notebook-acm-ai-minihack", "kernel_id": "83071716"}]}
{"competition_id": "101347", "kernels": []}
{"competition_id": "101383", "kernels": []}
{"competition_id": "101393", "kernels": [{"ref": "tatianagaintseva/baseline-rus", "kernel_id": "82540919"}, {"ref": "tatianagaintseva/baseline-eng", "kernel_id": "82541002"}, {"ref": "naladwepo/russia-egor-kulishov-task-cv", "kernel_id": "82541734"}, {"ref": "matveibeliaev/beliaevmatvei-v2", "kernel_id": "82547882"}, {"ref": "ivan070708/baseline-rus", "kernel_id": "82541660"}, {"ref": "rewive/baseline-rus", "kernel_id": "82541694"}, {"ref": "levkayumov/kayumov-lev", "kernel_id": "82541656"}, {"ref": "olegg239/oleg-drokanov-nya", "kernel_id": "82541580"}, {"ref": "zabojeb/voropaewyaroslaw-day3-task1-v1-v2", "kernel_id": "82541803"}, {"ref": "nikasmirnova/v1-v2-v1", "kernel_id": "82541582"}, {"ref": "andrewsokolovsky/neoai-2025-cuties-segmentation-score-0-7", "kernel_id": "82545380"}, {"ref": "nawfeelrahman1124444/cuties-seg-neoai2025", "kernel_id": "119219984"}, {"ref": "antoningorokva/clearclip-sol", "kernel_id": "120679861"}]}
{"competition_id": "101402", "kernels": [{"ref": "vortex366/look-up-guide", "kernel_id": "82501920"}]}
{"competition_id": "101405", "kernels": []}
{"competition_id": "101406", "kernels": []}
{"competition_id": "101498", "kernels": [{"ref": "tayyabrazatabassam/machinelearningassignment3", "kernel_id": "99913970"}, {"ref": "ashtrollogy/randomforest-attempt-on-ml-assignment-3", "kernel_id": "109276516"}]}
{"competition_id": "101511", "kernels": []}
{"competition_id": "101538", "kernels": [{"ref": "chenxiwu0423/notebook71428a2c3d", "kernel_id": "82969218"}]}
{"competition_id": "101597", "kernels": [{"ref": "jamiharju/notebook4218987c32", "kernel_id": "78944067"}, {"ref": "paultimothymooney/how-to-ask-gpt-4o-about-google-earth-engine-data", "kernel_id": "82824956"}, {"ref": "paultimothymooney/how-to-use-openai-models-on-kaggle", "kernel_id": "82822699"}, {"ref": "paultimothymooney/how-to-query-google-earth-engine-data-using-kaggle", "kernel_id": "82768624"}, {"ref": "saurabhpandey21/jungle-gpt", "kernel_id": "82998076"}, {"ref": "jacoporepossi/agentic-approach-openai-agents-sdk", "kernel_id": "82999501"}, {"ref": "mpwolke/tad-jones-and-the-paititi-legend", "kernel_id": "82998521"}, {"ref": "manueljoseparra/amazonheritage", "kernel_id": "82989498"}, {"ref": "sepehrrezaei/challenge-starter-notebook", "kernel_id": "82996609"}, {"ref": "lalupradhap/sampleone", "kernel_id": "82989832"}, {"ref": "rajan3208/complete-openai-to-z-challenge", "kernel_id": "82997921"}, {"ref": "sircausticmail/starter-pack-finding-hidden-cities", "kernel_id": "83040985"}, {"ref": "psilogram/collect-amazon-sites", "kernel_id": "83213865"}, {"ref": "immartian/recursive-emergence-for-amazonian-archaeology", "kernel_id": "83260582"}, {"ref": "aaronbornstein/extracting-known-archeology-sites-from-wiki", "kernel_id": "83236372"}, {"ref": "aaronbornstein/starter-amazon-basin-archaeological-search", "kernel_id": "83109188"}, {"ref": "fafa92/naked-eyes-100-potential-new-sites", "kernel_id": "83596518"}, {"ref": "fafa92/i-follow-rivers-visualizing-7500-known-sites", "kernel_id": "83314196"}, {"ref": "fnands/major-tom-embedding-search", "kernel_id": "83112240"}, {"ref": "fnands/major-tom-embedding-filter", "kernel_id": "83090910"}, {"ref": "fnands/search-the-amazon-with-remote-sensing-and-ai", "kernel_id": "83645741"}, {"ref": "superdragon/amazon-ai-discovery-sentinel-2-gee-dem-open-ai", "kernel_id": "83922826"}, {"ref": "jazivxt/depths-of-the-amazonia", "kernel_id": "83200456"}, {"ref": "kuto0633/extract-archaeological-point-data-from-archaeoblog", "kernel_id": "83590630"}, {"ref": "kuto0633/llm-explains-archaeological-site-features", "kernel_id": "83690722"}, {"ref": "bliztafree/agentic-knowledge-graphs", "kernel_id": "83049382"}, {"ref": "rcompass/verify-sites-sentinel-2-google-earth-gpt-4-1", "kernel_id": "83486215"}, {"ref": "mpwolke/brazilian-archaeological-radiocarbon-dating", "kernel_id": "83192700"}, {"ref": "dedquoc/openai-to-z-challenge-gis-submission", "kernel_id": "83012307"}, {"ref": "wguesdon/download-documents-form-the-internet-archive", "kernel_id": "83031285"}, {"ref": "wguesdon/rag-llm-openai-vector-stores", "kernel_id": "83035740"}, {"ref": "wguesdon/how-to-experiment-with-free-models", "kernel_id": "83060748"}, {"ref": "wguesdon/creating-a-knowledge-base-free-models", "kernel_id": "83115168"}, {"ref": "wguesdon/creating-a-knowledge-base-paid-models", "kernel_id": "83370166"}, {"ref": "dynamo14324/advanced-text-to-image-generation-openai-to-z", "kernel_id": "83875162"}, {"ref": "dynamo14324/enhanced-openai-to-z-challenge-api-integration", "kernel_id": "83880350"}, {"ref": "purvanshsingh/the-untold-stories-of-amazonia", "kernel_id": "83967997"}, {"ref": "woosungyoon/climate-change-and-amazon-floods-brainstorming", "kernel_id": "83630987"}, {"ref": "fernandosr85/amazon-geoglyphs-soil-secrets", "kernel_id": "83083205"}, {"ref": "johnwessel/checkpoint2a1", "kernel_id": "83686477"}, {"ref": "richardkangkr/cheongwoon-checkpoint-1-gpt-4o-lidar-insight", "kernel_id": "83833586"}, {"ref": "minervasdatalab/open-ai-geospatial-reasoning-for-site-discovery", "kernel_id": "83054475"}, {"ref": "antonsibilev/high-resolution-dem-and-ai-landscape-analysis", "kernel_id": "83679913"}, {"ref": "antonsibilev/amazon-data-bridge-v1", "kernel_id": "83287344"}, {"ref": "antonsibilev/amazon-data-bridge-v2", "kernel_id": "83467210"}, {"ref": "jocelyndumlao/amazon-archaeology-earth-engine-opencv", "kernel_id": "83446090"}, {"ref": "lordpatil/beginner-s-guide-to-gemini-and-google-earth-engine", "kernel_id": "83095631"}, {"ref": "lordpatil/ragstart-day-1-papers-first", "kernel_id": "83036692"}, {"ref": "koehlepe/load-dataset", "kernel_id": "83545362"}, {"ref": "koehlepe/loading-lidar", "kernel_id": "83737504"}, {"ref": "kscjlasja/checkpoint-3-cont-new-site-discovery", "kernel_id": "83826382"}, {"ref": "kscjlasja/checkpoint-2-3-an-early-explorer", "kernel_id": "83826428"}, {"ref": "srinivasta/maps-challange", "kernel_id": "83029463"}, {"ref": "srinivasta/sugarloaf-mountain-1", "kernel_id": "83380412"}, {"ref": "srinivasta/tepui-highlands", "kernel_id": "83507752"}, {"ref": "ganghyeoklee/beginner-s-guide-to-openai-and-google-earth-engine", "kernel_id": "83006171"}, {"ref": "murugeshwariravi/amazonexplorer-ai-mvp", "kernel_id": "83564459"}, {"ref": "jazmncaldern/bloop-sounds-scan", "kernel_id": "83351707"}, {"ref": "jazmncaldern/hidden-city-amazonas", "kernel_id": "83359689"}, {"ref": "jazmncaldern/rya-scan-quantum", "kernel_id": "83204870"}, {"ref": "jazmncaldern/ritmo-planetario", "kernel_id": "83274260"}, {"ref": "jazmncaldern/nodos-enigma-google-earth-data", "kernel_id": "83267386"}, {"ref": "jazmncaldern/rya-quantum-bloom", "kernel_id": "83777245"}, {"ref": "nur35982/discovering-archaeological-sites-in-the-amazon", "kernel_id": "83351774"}, {"ref": "aniketdash7/exporting-images-from-gee-to-google-drive", "kernel_id": "83726105"}, {"ref": "nitinmuragi/how-to-use-openai-models-on-kaggle", "kernel_id": "83465667"}, {"ref": "laviandsouza/amazon-elevation", "kernel_id": "83676065"}, {"ref": "amirjordan23/exploring-viirs-l1b-data-from-grouped-netcdf", "kernel_id": "83228189"}, {"ref": "anhhkhoi/lidar-point-cloud-visualization-and-processing", "kernel_id": "83059282"}, {"ref": "jaco503/notebook4c29b7cea6", "kernel_id": "83258284"}, {"ref": "krutarthkayparmar/from-open-sky-to-open-site-clip-rag-stalled", "kernel_id": "83485084"}, {"ref": "izioh79/openai-challenge", "kernel_id": "83127928"}, {"ref": "jacksonpond/find-geographic-clues-with-semantic-search", "kernel_id": "83065898"}, {"ref": "llkh0a/simple-dem-data-gpt-4o-mini-image-prompt", "kernel_id": "83209643"}, {"ref": "llkh0a/download-gedi-terrabrasilis", "kernel_id": "83317782"}, {"ref": "saibhossain/hackathon-practice-boom", "kernel_id": "83384589"}, {"ref": "sammyanagavah/amazon", "kernel_id": "83515734"}, {"ref": "nikitamanaenkov/archaeological-site-web-scraping", "kernel_id": "83065116"}, {"ref": "nikitamanaenkov/mapping-brazilian-archaeological-sites-zooarchbr", "kernel_id": "83061821"}, {"ref": "jwangdsci/d20250526-openai-to-ee", "kernel_id": "83799792"}, {"ref": "arctanmyangle/lidartime", "kernel_id": "83143466"}, {"ref": "jiya098/amazon-archaeological-site-discovery", "kernel_id": "83731355"}, {"ref": "fahadalgorithm/checkpoint-2t", "kernel_id": "83878998"}, {"ref": "qerelhasiq/parque-arqueol-gico-do-solst-cio", "kernel_id": "83863393"}, {"ref": "mohammadteimoury/notebook304eff8b8b", "kernel_id": "83158502"}, {"ref": "meddhifallah/checkpoint-2", "kernel_id": "83791956"}, {"ref": "rajeshmanivibez/openai-to-z-challenge-maps-challange", "kernel_id": "83495228"}, {"ref": "ndy001/openai-to-z-challenge-checkpoint-2", "kernel_id": "83325076"}, {"ref": "ndy001/openai-to-z-challenge-checkpoint-1", "kernel_id": "83308994"}, {"ref": "diladiclekeke/tracing-wa-ukanni-with-ndvi-gpt-4o-in-search", "kernel_id": "83032584"}, {"ref": "alanjafari/ai-x-archaeology-machu-picchu-reimagined", "kernel_id": "83064857"}, {"ref": "alanjafari/gpt-digs-deep-ai-for-archaeology", "kernel_id": "83063812"}, {"ref": "alanjafari/lost-cities-reimagined-by-gpt-4o", "kernel_id": "83091142"}, {"ref": "bluestrikeai/revealing-z", "kernel_id": "83178244"}, {"ref": "lauracatalano/terrabrasilis-deforestation-map", "kernel_id": "83263293"}, {"ref": "lauracatalano/acre-geoglyph-lidar", "kernel_id": "83627691"}, {"ref": "shamimhasan8/openai-to-z-challenge", "kernel_id": "83657501"}, {"ref": "rogriofmeireles/lidar-analise-alpha", "kernel_id": "83890905"}, {"ref": "hanliy/entry-numbah-1", "kernel_id": "83598962"}, {"ref": "lukasruocco/analysis-of-previously-known-locations-with-gpt-4", "kernel_id": "83625262"}, {"ref": "mosesleyian/notebookleyian1", "kernel_id": "83038641"}, {"ref": "psilogram/amazon-grid-analysis", "kernel_id": "84700366"}, {"ref": "fnands/process-nasa-lidar", "kernel_id": "84839747"}, {"ref": "xiyuanliu/checkpoint1-jordan", "kernel_id": "84376638"}, {"ref": "rackovic1994/peru-settlements-as-a-dynamic-graph", "kernel_id": "84586175"}, {"ref": "rishabh2019/submission-openai", "kernel_id": "84739550"}, {"ref": "tomoyukimukasa/pipeline", "kernel_id": "84259529"}, {"ref": "haoyunfenghy/lost-city-of-z-crowd-sourcing-with-openai", "kernel_id": "84904872"}, {"ref": "isakatsuyoshi/baseline-team-kofun-to-z", "kernel_id": "84735294"}, {"ref": "isakatsuyoshi/writeup-team-kofun-to-z", "kernel_id": "84951784"}, {"ref": "minervasdatalab/basic-rag-interrogate-literature", "kernel_id": "84713962"}, {"ref": "minervasdatalab/openai-researchdesign", "kernel_id": "84097936"}, {"ref": "minervasdatalab/checkpoint-1-visualise-data", "kernel_id": "84883482"}, {"ref": "minervasdatalab/c2-anomaly-identification-brazil-nutllms", "kernel_id": "84926995"}, {"ref": "masaishi/research-ai-agent-baseline", "kernel_id": "84806317"}, {"ref": "mosesmirage/unearthing-tapaj-s-beyond-lidar-crux-alignment", "kernel_id": "84863919"}, {"ref": "antonsibilev/amazonia-deepsearch", "kernel_id": "84987850"}, {"ref": "ceeluna/checkpoint-2-pixels-palms-and-the-past", "kernel_id": "84818415"}, {"ref": "vinodsuresh/ancient-echoes-gpt-4o-s-archaeological-exploratio", "kernel_id": "84633022"}, {"ref": "preetesh007/amazonarcheological-ai", "kernel_id": "84689196"}, {"ref": "kscjlasja/a-first-look-at-amazonian-features-with-openai", "kernel_id": "84013522"}, {"ref": "crsuthikshnkumar/openaitoz-gemini-cue-va-delos-tayos-crsk", "kernel_id": "84908455"}, {"ref": "mr0106/amazon-aid", "kernel_id": "84712483"}, {"ref": "mr0106/adaml", "kernel_id": "84717446"}, {"ref": "mr0106/amazon-ai-discover", "kernel_id": "84720361"}, {"ref": "ashutoshkumar432/openai-to-z-topo-challenge", "kernel_id": "84233696"}, {"ref": "jazmncaldern/el-c-dice-del-oct-gono-vivo", "kernel_id": "84380085"}, {"ref": "jazmncaldern/the-codex-of-the-living-octagon", "kernel_id": "84388842"}, {"ref": "jazmncaldern/rya-valkiria-2-0", "kernel_id": "84216209"}, {"ref": "greenfielddata/https-www-kaggle-cai-z-amazon-lidar-oral-history", "kernel_id": "84157182"}, {"ref": "helmirinaldi/openaivisualisasichallenge", "kernel_id": "84104527"}, {"ref": "josephohoyin/stage-1-early-explorer-dual-image-analysis", "kernel_id": "84976454"}, {"ref": "minaalalam/paititi-the-lost-city-of-gold", "kernel_id": "84881760"}, {"ref": "oscaryezfeijo/jungle-seekers", "kernel_id": "84654664"}, {"ref": "sivanesanbalu/amazon-basin-lidar-vegetation-anomaly-analysis2", "kernel_id": "84807167"}, {"ref": "sivanesanbalu/amazon-basin-lidar-vegetation-anomaly-analysi", "kernel_id": "84775109"}, {"ref": "ssaggle/ss-checkpoint-1", "kernel_id": "84826104"}, {"ref": "yutangxie/checkpoint-1", "kernel_id": "84152245"}, {"ref": "yutangxie/checkpoint-2", "kernel_id": "84710814"}, {"ref": "adilshamim8/archaeological-site-detection-in-the-amazon", "kernel_id": "84011326"}, {"ref": "cedsbstn/journey-to-the-secret-of-the-amazon", "kernel_id": "84601957"}, {"ref": "prakashchandjain/ai-model", "kernel_id": "84011415"}, {"ref": "accelwastaken/openai-to-z-challenge-submission-checkpoint-1-2", "kernel_id": "84028643"}, {"ref": "carolyyy/openai-to-z-challenge-with-mining-exploration", "kernel_id": "84561151"}, {"ref": "utkarshranjan007/checkpoint-1-loading-lidar-dataset-gpt-analysis", "kernel_id": "84752892"}, {"ref": "utkarshranjan007/checkpoint-2", "kernel_id": "84904599"}, {"ref": "ericsullivan12/data-loading-pipeline", "kernel_id": "84149110"}, {"ref": "premashtekar/prem-history", "kernel_id": "84846751"}, {"ref": "premashtekar/openpremai", "kernel_id": "84962709"}, {"ref": "lauracatalano/multispectral-dem-site-prediction-tool", "kernel_id": "84513092"}, {"ref": "josephmancinelli/buried-cities-of-the-amazon", "kernel_id": "84358723"}, {"ref": "josephmancinelli/buried-cities-of-the-amazon-104fd9", "kernel_id": "84841186"}, {"ref": "gastondana/c2-discovery-notebook-ipynb", "kernel_id": "84793781"}, {"ref": "besomorph/the-hidden-gem", "kernel_id": "84999694"}, {"ref": "giovannicorigliano/indiana-jones-ai", "kernel_id": "84353511"}, {"ref": "marcelocruzeta/we-will-find-brazilian-amazon-ratanaba", "kernel_id": "84163565"}, {"ref": "saireddypothireddy/unearthing-the-forgotten-ai-powered-discovery", "kernel_id": "84995274"}, {"ref": "danehrlich01/checkpoint-1-loading-lidar-dataset-gpt-analysis", "kernel_id": "84843889"}, {"ref": "psilogram/merit-dem-slope-curv-prof-tpi-tri", "kernel_id": "85615743"}, {"ref": "psilogram/download-swot-amazon", "kernel_id": "85509242"}, {"ref": "psilogram/download-merit-dem-amazon", "kernel_id": "85511134"}, {"ref": "psilogram/elevation-above-river-amazon", "kernel_id": "85545870"}, {"ref": "psilogram/make-amazon-polygon", "kernel_id": "85552328"}, {"ref": "psilogram/model-description-prompt", "kernel_id": "85250757"}, {"ref": "psilogram/amazon-writeup", "kernel_id": "85800142"}, {"ref": "psilogram/create-amazon-cell-map", "kernel_id": "85807641"}, {"ref": "fnands/train-model-on-ade-data", "kernel_id": "85818191"}, {"ref": "fnands/search-with-google-satellite-embedding", "kernel_id": "85688958"}, {"ref": "josepart/visualizing-archaeological-sites-in-the-amazon", "kernel_id": "85173061"}, {"ref": "josepart/deduping-archeological-site-data", "kernel_id": "85671844"}, {"ref": "josepart/archaeological-sites-data-processing", "kernel_id": "85661528"}, {"ref": "charlesbwhetstone/amazon-location-discovery", "kernel_id": "85127611"}, {"ref": "parselt/openai-z-exploring-the-amazon", "kernel_id": "85176987"}, {"ref": "rackovic1994/echoes-in-the-andes-forecasting-forgotten-cities", "kernel_id": "85360100"}, {"ref": "rackovic1994/walking-through-the-hills", "kernel_id": "85196679"}, {"ref": "ssain18/all-my-base-work-on-this-general-lib-checkpoint", "kernel_id": "85890802"}, {"ref": "ssain18/digital-archaeology-general-code", "kernel_id": "85857247"}, {"ref": "vishesh20/geoglyph-treasure-map", "kernel_id": "85767895"}, {"ref": "vishesh20/candidate-site-search", "kernel_id": "85779866"}, {"ref": "vishesh20/openai-to-z-challenge-site-pattern-study", "kernel_id": "85049649"}, {"ref": "kaungmyatkyaw/anomaly-detection-with-llm-checkpoint-2", "kernel_id": "85114586"}, {"ref": "mayakaripel/unearthing-the-past", "kernel_id": "85267990"}, {"ref": "nine919/openai-to-z-challenge-submission", "kernel_id": "85677447"}, {"ref": "minervasdatalab/ragmodel-litsearch", "kernel_id": "85126031"}, {"ref": "ceeluna/glyphtrack-detection-of-anomalies-under-canopy", "kernel_id": "85742987"}, {"ref": "codingmaster24/detecting-amazonian-geoglyphs-with-ssl-embeddings", "kernel_id": "85949495"}, {"ref": "himans123/z-challenge-using-openai", "kernel_id": "85387066"}, {"ref": "virgiliugabriel/ai-unveils-lost-amazon-sites", "kernel_id": "85797159"}, {"ref": "abhinavsharma0706/open-set", "kernel_id": "85735068"}, {"ref": "anantaverma/agentic-rag-for-amazon-archaeology", "kernel_id": "85839980"}, {"ref": "sthrisha/ethical-ai-amazon-explorer", "kernel_id": "85919581"}, {"ref": "arnavmishra6996/whispers-beneath-the-canopy", "kernel_id": "85339281"}, {"ref": "jefersoncollutte/checkpoint-2-minimal", "kernel_id": "85702326"}, {"ref": "samanfatima7/buried-cities-found-ai-says-yes", "kernel_id": "85808979"}, {"ref": "josephohoyin/isolation-forest-screening-multi-llm-analysis", "kernel_id": "85782171"}, {"ref": "murarikarsatishwar/notebooka09cc2958d", "kernel_id": "85977194"}, {"ref": "mollee/finding-archaeological-site-using-clustering", "kernel_id": "85123755"}, {"ref": "seamusbarnes/lidar-metadata-processing-and-visualisation", "kernel_id": "85794859"}, {"ref": "seamusbarnes/lidar-survey-of-brazil-laz-files-gen-metadata", "kernel_id": "85822189"}, {"ref": "seamusbarnes/secrets-tester", "kernel_id": "85751720"}, {"ref": "zdanovic/hybrid-cv-llm-for-lost-city-discovery", "kernel_id": "85280572"}, {"ref": "kjo1111/amazon-ai-archaeologist-o3-mini", "kernel_id": "85162748"}, {"ref": "ssaggle/ss-checkpoint-2", "kernel_id": "85066327"}, {"ref": "fra150/greeexploram-ai", "kernel_id": "85729764"}, {"ref": "aniketnamjoshi0012/discovered-archeological-sites-in-amazon", "kernel_id": "85491974"}, {"ref": "arandomhobbyist/openai-to-z-challenge-checkpoint-1", "kernel_id": "85123461"}, {"ref": "chaoscpp/analysis-of-areas-in-amazon-resnet50-gpt-4-1", "kernel_id": "85119672"}, {"ref": "sanaadeelkhan/echoes-of-amazonia-team-green", "kernel_id": "85103401"}, {"ref": "heinzketchupx/archaeological-site-discovery-using-soil-ph", "kernel_id": "85080103"}, {"ref": "lauracatalano/openai-historical-visions", "kernel_id": "85232625"}, {"ref": "lauracatalano/openai-hallucinations-and-solutions-sdk-update", "kernel_id": "85119826"}, {"ref": "lauracatalano/openai-final-amazon-discovery", "kernel_id": "85436806"}, {"ref": "tell01/notebook661332d7e6", "kernel_id": "85206573"}, {"ref": "rogriofmeireles/human-intervention-detection-with-lidar", "kernel_id": "85634280"}, {"ref": "loyisongcobo/notebook9ae99ee230", "kernel_id": "85889023"}, {"ref": "josephmancinelli/amazon-master3", "kernel_id": "85455187"}, {"ref": "josephmancinelli/buried-cities-of-the-amazon-latest", "kernel_id": "85693289"}, {"ref": "gastondana/c1-teamrelic-professional-notebook-ipynb", "kernel_id": "85635895"}, {"ref": "bjrnste/path-to-the-amazon-sun-gods", "kernel_id": "85756786"}, {"ref": "bjrnste/indigenous-territories-shp-to-kmz-converter", "kernel_id": "85526633"}, {"ref": "dihedralg/global-pyramids-starforts-with-gps-coordinates", "kernel_id": "85382454"}, {"ref": "dihedralg/fresh-take-on-the-geodetic-codex-model", "kernel_id": "85454433"}, {"ref": "giovannicocco/tracing-nhamini-wi-in-search-of-the-lost-path", "kernel_id": "85226717"}, {"ref": "akash96541234/rond-nia-global-summary-pipeline", "kernel_id": "85879693"}, {"ref": "akash96541234/rond-nia-ai-lidar-for-lost-civilizations", "kernel_id": "85882529"}, {"ref": "mjawadaliikhan/final-submission", "kernel_id": "85593064"}, {"ref": "iriskramer/deforestation-alert-to-detection", "kernel_id": "85898216"}, {"ref": "fnands/classifying-lidar-with-openai-s-o3", "kernel_id": "86025374"}, {"ref": "parselt/mapping-new-archaeological-frontiers-in-amazon", "kernel_id": "86086515"}, {"ref": "linduoli/bostonlistener-digitalarchaeology", "kernel_id": "86017827"}, {"ref": "woosungyoon/3-getis-ord-hotspot", "kernel_id": "86094098"}, {"ref": "woosungyoon/3-vqa-score-assessment", "kernel_id": "86083880"}, {"ref": "yaodanwei/upperxingu-data-collection", "kernel_id": "86092258"}, {"ref": "yaodanwei/upperxingu-site-discovery-part2-ml-analysis", "kernel_id": "86085060"}, {"ref": "mr0106/openai-to-z-challenge", "kernel_id": "86082484"}, {"ref": "jefersoncollutte/ade-hunter-pipeline-complete-executed-results", "kernel_id": "86089307"}, {"ref": "suleimantawil/openai-to-z-challenge", "kernel_id": "86100931"}, {"ref": "nathfavour/kaggle-openai", "kernel_id": "86068150"}, {"ref": "sristypaul/unveiling-the-amazon-s-earthworks", "kernel_id": "86036091"}, {"ref": "shyamgoparaju/openai-to-z-challenge", "kernel_id": "86080141"}, {"ref": "huzaifalikhan/the-pioneer-x", "kernel_id": "86024509"}, {"ref": "arandomhobbyist/openai-to-z-challenge-checkpoint-2", "kernel_id": "86061163"}, {"ref": "akhileshyadav523/notebook7e5ce03d78", "kernel_id": "86083471"}, {"ref": "carolineboulau/z-challenge", "kernel_id": "86071229"}, {"ref": "iriskramer/archai-s-submission-reflection-and-discoveries", "kernel_id": "86114606"}, {"ref": "adrienthomas/prosyncai", "kernel_id": "100836742"}]}
{"competition_id": "101633", "kernels": [{"ref": "verifyitisyou/clickbait-detection-starter-notebook", "kernel_id": "88681333"}, {"ref": "verifyitisyou/advanced-clickbait-detection-starter-v2", "kernel_id": "88701518"}, {"ref": "verifyitisyou/advanced-clickbait-detection-starter-notebook", "kernel_id": "88683717"}, {"ref": "verifyitisyou/v2-clickbait-detection-starter-notebook", "kernel_id": "88834450"}]}
{"competition_id": "101634", "kernels": []}
{"competition_id": "101637", "kernels": []}
{"competition_id": "101640", "kernels": []}
{"competition_id": "101646", "kernels": []}
{"competition_id": "101649", "kernels": []}
{"competition_id": "101684", "kernels": [{"ref": "itssleepysaad/zero-bs-guide-to-using-models", "kernel_id": "83464191"}]}
{"competition_id": "101694", "kernels": []}
{"competition_id": "101699", "kernels": []}
{"competition_id": "101700", "kernels": []}
{"competition_id": "101701", "kernels": []}
{"competition_id": "101703", "kernels": []}
{"competition_id": "101720", "kernels": []}
{"competition_id": "101731", "kernels": []}
{"competition_id": "101732", "kernels": [{"ref": "pradeeplachireddy/nlp-2025-task4-optuna-xgboost", "kernel_id": "83713816"}]}
{"competition_id": "101733", "kernels": []}
{"competition_id": "101734", "kernels": []}
{"competition_id": "101737", "kernels": []}
{"competition_id": "101740", "kernels": []}
{"competition_id": "101849", "kernels": [{"ref": "ananda26/dataprocessing", "kernel_id": "83101514"}, {"ref": "ahsuna123/neurips-adc-25-intro-training", "kernel_id": "85914867"}, {"ref": "mpwolke/ariel-2025-exoplanets-chemistry", "kernel_id": "85918017"}, {"ref": "lordpatil/perfect-eda-doesn-t-exist", "kernel_id": "85977284"}, {"ref": "aryamanvaishya/first-contact-baseline", "kernel_id": "85978315"}, {"ref": "gordonyip/calibrating-and-binning-ariel-data", "kernel_id": "85945382"}, {"ref": "samasiayushman/complete-statistics-eda", "kernel_id": "85932661"}, {"ref": "samasiayushman/complete-visualizations-guides", "kernel_id": "85909552"}, {"ref": "vitalykudelya/neurips-non-ml-transit-curve-fitting", "kernel_id": "86637507"}, {"ref": "junkoda/competition-metric-in-detail", "kernel_id": "86900710"}, {"ref": "ilu000/ariel25-baseline-submission-1d-modelling", "kernel_id": "86628719"}, {"ref": "ilu000/ariel25-quick-data-prep-improved", "kernel_id": "86286904"}, {"ref": "ahsuna123/starter-solution-1d-2d-cnn", "kernel_id": "86428333"}, {"ref": "kuntalpal/ariel-data-neurips-2025", "kernel_id": "86957011"}, {"ref": "dedquoc/neurips-adc-2025-quick-analysic", "kernel_id": "86022831"}, {"ref": "akshayr009/complete-visualizations-guides", "kernel_id": "86079723"}, {"ref": "siwooyong/nips-adc-inference", "kernel_id": "86339889"}, {"ref": "manueljoseparra/cpufasterdataprocessingdask", "kernel_id": "86373003"}, {"ref": "lordpatil/how-we-find-and-classify-exoplanets", "kernel_id": "86014028"}, {"ref": "harshtheman/neurlps", "kernel_id": "86361859"}, {"ref": "abhinavsharma0706/ariel-set", "kernel_id": "86119657"}, {"ref": "richolson/ariel-25-baseline-fgs1-features-lgbm", "kernel_id": "86094571"}, {"ref": "manaritabz/ariel-data-challenge-2025-manar", "kernel_id": "86216091"}, {"ref": "allankiplagatiteba/pinn-v1", "kernel_id": "86208152"}, {"ref": "koushikkumardinda/neurips-ariel-data-challenge-2025", "kernel_id": "86026910"}, {"ref": "ramanofthesky/don-t-open-this-notebook-please", "kernel_id": "86138626"}, {"ref": "ahmeterdempamuk/ariel-data-challenge-2025-notebook-lb-0-290", "kernel_id": "86461313"}, {"ref": "fawadawan/neurlips-2025-competition-exoplanets-motions", "kernel_id": "86384034"}, {"ref": "sangrampatil5150/quantile-regression-strategy", "kernel_id": "86018153"}, {"ref": "megan82/ariel-spectra-singkap-spektrum-bintang", "kernel_id": "86128779"}, {"ref": "kyraku/neurips-ridge", "kernel_id": "86983042"}, {"ref": "shaikmoosakalam/calibration2", "kernel_id": "86534608"}, {"ref": "znaxxh/ariel-notebook", "kernel_id": "86019724"}, {"ref": "i222371heer/neurips-ariel-data-challenge-2025", "kernel_id": "86107600"}, {"ref": "khai42/neurips-2025", "kernel_id": "86616575"}, {"ref": "dexoo1/neurips", "kernel_id": "86069422"}, {"ref": "choudharymanas/complete-lightweight-data", "kernel_id": "86425936"}, {"ref": "choudharymanas/training-cnn-model", "kernel_id": "86425713"}, {"ref": "dheerajkannaujiya/neuro-ips", "kernel_id": "86867178"}, {"ref": "abioduntiamiyu/data-analytics-club", "kernel_id": "86163894"}, {"ref": "shubham8107/notebook08011c5d29", "kernel_id": "86040006"}, {"ref": "stpeteishii/signal-processing-and-spectral-visualization", "kernel_id": "87821719"}, {"ref": "yingxiao1/neurips-non-ml-transit-curve-fitting-131c75", "kernel_id": "87098750"}, {"ref": "ddimonte/understanding-the-data", "kernel_id": "87862535"}, {"ref": "zayyyy/ariel-25-3rd-place-submission", "kernel_id": "87994933"}, {"ref": "utkarshtomar736/ariel-data-exploration", "kernel_id": "87198887"}, {"ref": "konstantinboyko/ariel-2025-v06-06-infer", "kernel_id": "87632368"}, {"ref": "victoraugustocavalli/neurips-2025", "kernel_id": "87430292"}, {"ref": "gnanaprakashr/rgp-data-statistics", "kernel_id": "87333650"}, {"ref": "starkop/kaggle-comp-data-vis-104891231", "kernel_id": "87457447"}, {"ref": "tokitahmid/neurips-ariel-data-challenge", "kernel_id": "87813871"}, {"ref": "letue3004/int3045-group4", "kernel_id": "87950393"}, {"ref": "gauripatil2299/ariel-data-challenge-2025", "kernel_id": "87698445"}, {"ref": "megan82/spectra-transformer-denoiser", "kernel_id": "87196440"}, {"ref": "megan82/spectratransformerdenoiser", "kernel_id": "87072614"}, {"ref": "kaibarker123/kb123-ariel-data-challenge-2025", "kernel_id": "87492030"}, {"ref": "dainn98s/features-multimodel-calibration", "kernel_id": "87606629"}, {"ref": "djdibs/secret-stuff", "kernel_id": "87608498"}, {"ref": "ashifurrahmanshifat/all-arial-models", "kernel_id": "87344824"}, {"ref": "nihaoshide/neurips-adc-25-intro-training-97ad48", "kernel_id": "87415543"}, {"ref": "junkoda/limb-darkening", "kernel_id": "88410951"}, {"ref": "kuntalpal/neurips-2025-model-building", "kernel_id": "88493755"}, {"ref": "ivanilyushchenko/24-place-solution", "kernel_id": "88000626"}, {"ref": "ddimonte/stratification", "kernel_id": "88221695"}, {"ref": "konstantinboyko/ariel25-baseline-submission-1d-newdataset-v04", "kernel_id": "88013414"}, {"ref": "abhishek9065/neurips-ariel-2025-baseline-ipynb", "kernel_id": "88954990"}, {"ref": "stemosamaghandour/neurips-ariel-data-challenge-by-osama-ghandour", "kernel_id": "88074559"}, {"ref": "tulika08sgtrs/arieldatasetchallenge", "kernel_id": "88080077"}, {"ref": "letue3004/int3045-group4-final", "kernel_id": "88274105"}, {"ref": "ethanjschauder/submission-pipeline-final", "kernel_id": "88797193"}, {"ref": "centzev/int-3405-moiomi", "kernel_id": "88031251"}, {"ref": "antonsibilev/very-fast-with-hot-pixels-enabled", "kernel_id": "89627991"}, {"ref": "daisei/ariel-astronomical-preprocessing", "kernel_id": "89774500"}, {"ref": "daisei/ariel-enhanced-submission", "kernel_id": "89675441"}, {"ref": "daisei/ariel-simple-submission", "kernel_id": "89676429"}, {"ref": "daisei/ariel-baseline-submission", "kernel_id": "89674157"}, {"ref": "vet231199/neurips-reconstructing-the-spectra-of-exoplanets", "kernel_id": "89239554"}, {"ref": "jeroencottaar/sksparse-package-installer-2025", "kernel_id": "89034181"}, {"ref": "anikdey23/calibrating-and-binning-ariel-data", "kernel_id": "89267126"}, {"ref": "huynguyen1902/some-tried-model", "kernel_id": "89352748"}, {"ref": "huynguyen1902/adc2025-data-preprocessing", "kernel_id": "89449516"}, {"ref": "mayuringle8890/neurips-ariel-data-challenge", "kernel_id": "89313495"}, {"ref": "samoilovmikhail/neurips-lgb-model-training", "kernel_id": "89333484"}, {"ref": "adcdaa/data-preprocess", "kernel_id": "89204942"}, {"ref": "phanbth/scale-sigma", "kernel_id": "89088191"}, {"ref": "qifengshao/notebookab06f8c81f", "kernel_id": "89430554"}, {"ref": "manku7/binning-the-ariel-data-as-well-as-celibrating", "kernel_id": "89443600"}, {"ref": "particlebbq/notebookf89ff76815", "kernel_id": "90533256"}, {"ref": "ddimonte/process-data", "kernel_id": "90149498"}, {"ref": "thomasdueholmhansen/ariel-2025-version-1", "kernel_id": "90433904"}, {"ref": "jeroencottaar/demonstrate-apparent-label-issue", "kernel_id": "90854402"}, {"ref": "gordonyip/wavelet-transform-airs-data", "kernel_id": "90582073"}, {"ref": "yusuketogashi/lb-0-338-very-fast-1h-optimized-nb-v2", "kernel_id": "90196683"}, {"ref": "yusuketogashi/lb-0-339-very-fast-with-hot-pixels-enabled-v2", "kernel_id": "90369543"}, {"ref": "jade290395/simple-baseline-deeplearning", "kernel_id": "90289178"}, {"ref": "ellie2811/ariel25-linear-kernel-baseline", "kernel_id": "90497611"}, {"ref": "ddimonte/submission-code", "kernel_id": "91358924"}, {"ref": "ananda26/airs-data-deepdive", "kernel_id": "91468042"}, {"ref": "babydriver1233/neurips-ariel-data-challenge-2025-complete-solu", "kernel_id": "91236470"}, {"ref": "lordpatil/as-is-baseline", "kernel_id": "91342634"}, {"ref": "crackedprograms/notebook0c5ba0d002", "kernel_id": "91685318"}, {"ref": "thomasdueholmhansen/airs-spectrum-indices-should-be-flipped", "kernel_id": "91584386"}, {"ref": "dakunextdoor/physics-aware-preprocessing-x-simple-transit", "kernel_id": "91625219"}, {"ref": "dakunextdoor/neurips-ariel-data-challenge-2025", "kernel_id": "91059690"}, {"ref": "shafaisyed/ariel-mle-star-notebook-v3-xgboost-lightgbm", "kernel_id": "91221039"}, {"ref": "shafaisyed/ariel-mle-star-notebook-v2", "kernel_id": "91220286"}, {"ref": "shafaisyed/ariel-mle-star-notebook", "kernel_id": "91219858"}, {"ref": "shafaisyed/ariel-mle-star-notebook-v4-fixed", "kernel_id": "91223372"}, {"ref": "antonoof/0-359-score-bronze", "kernel_id": "91705519"}, {"ref": "antonoof/0-374-lb-score-bronze-medal", "kernel_id": "91945455"}, {"ref": "ibrahimhabibeg/calibration-minimal-binning-and-no-channel-cut", "kernel_id": "91492543"}, {"ref": "ibrahimhabibeg/s-value", "kernel_id": "91826649"}, {"ref": "ibrahimhabibeg/ariel-pred", "kernel_id": "91829872"}, {"ref": "mirazul687/ariel-fast-and-optimized", "kernel_id": "91075519"}, {"ref": "arandomhobbyist/convolutional-data-processing-pipeline", "kernel_id": "91386215"}, {"ref": "sarbojeetbhowmick/optimized-nb-acc2025-sb", "kernel_id": "91533382"}, {"ref": "riteshbachhar/dataprocessing-cpu-parallel", "kernel_id": "91499478"}, {"ref": "qaedtgyh/0-344-lb-sol", "kernel_id": "91465098"}, {"ref": "qaedtgyh/a-simple-sol-0-356-lb", "kernel_id": "91464775"}, {"ref": "qaedtgyh/resnet-solution", "kernel_id": "91492793"}, {"ref": "viji1609/neurips-ariel-2025-features-gen-16th-place", "kernel_id": "92968560"}, {"ref": "stpeteishii/parallelized-pipeline-for-ariel-exoplanet-data", "kernel_id": "92151706"}, {"ref": "long2003/ariel-challenge-2025-inference", "kernel_id": "92185080"}, {"ref": "seowoohyeon/0-389-lb-score", "kernel_id": "92880481"}, {"ref": "seowoohyeon/resnet-for-airs-finetuned-lb0-369", "kernel_id": "92323777"}, {"ref": "seowoohyeon/ariel-25-baseline-fgs1-features-lgbm", "kernel_id": "92450275"}, {"ref": "drvtalan/ariel-4-dt", "kernel_id": "92176482"}, {"ref": "dakunextdoor/ariel-physics-ml-transit", "kernel_id": "92581184"}, {"ref": "antonoof/s-p-500-eda-and-trend-model", "kernel_id": "92588917"}, {"ref": "pankajiitr/ariel-resnet-ensemble", "kernel_id": "92282275"}, {"ref": "osman0/ariel-data-visualization", "kernel_id": "92161436"}, {"ref": "ibrahimhabibeg/s-values-signal-var-sigma", "kernel_id": "92589269"}, {"ref": "ibrahimhabibeg/sigma-pred-nn", "kernel_id": "92943470"}, {"ref": "ibrahimhabibeg/star-info-cnn-with-var-based-sigma", "kernel_id": "92831938"}, {"ref": "ibrahimhabibeg/s-values-scaled-sigma", "kernel_id": "92293656"}, {"ref": "ibrahimhabibeg/spectrum-only-s-values-cnn", "kernel_id": "92385571"}, {"ref": "llkh0a/5-folds-full-with-se-blocks", "kernel_id": "92927152"}, {"ref": "sangrampatil5150/0-400-pvlb-score-bronze-medal", "kernel_id": "92962290"}, {"ref": "yusuketogashi/lb-0-361-ariel", "kernel_id": "92116786"}, {"ref": "mukhilkannan/0-363-score-private-and-0-371-score-public", "kernel_id": "92408085"}, {"ref": "mukhilkannan/0-362-private-lb-score-0-376-public-lb-score", "kernel_id": "92727098"}, {"ref": "wanyunxi/voting-solution", "kernel_id": "92972129"}, {"ref": "devadevam/45th-place-silver-medal-solution", "kernel_id": "92604184"}, {"ref": "qaedtgyh/the-art-of-ensemble-0-380-lb-bronze-medal-solution", "kernel_id": "92654449"}, {"ref": "qaedtgyh/resnet-for-airs-0-360-lb", "kernel_id": "92074776"}, {"ref": "qaedtgyh/a-simple-resnet-solution", "kernel_id": "92052982"}, {"ref": "vicensgaitan/6th-place-solution-pipeline", "kernel_id": "93078052"}, {"ref": "vicensgaitan/6th-place-submission", "kernel_id": "93109738"}, {"ref": "long2003/ariel-mamba-mdn", "kernel_id": "93000677"}, {"ref": "alehandreus/ariel-2025-inference", "kernel_id": "93288454"}, {"ref": "beemax/neurips-adc-25-2nd-place-submission", "kernel_id": "93721885"}, {"ref": "krishd123/lb-0-416-ariel-advanced-resnet-mdn-ensemble", "kernel_id": "93049314"}, {"ref": "jeroencottaar/ariel2025-1st-place-bayesian-exoplanet-analysis", "kernel_id": "93206143"}, {"ref": "jeroencottaar/ariel2025-1st-place-reproduce-winning-submission", "kernel_id": "93206280"}, {"ref": "pankajiitr/ariel-ensemble-v2", "kernel_id": "93002096"}, {"ref": "ibrahimhabibeg/lr-sigma-with-nn", "kernel_id": "93001424"}, {"ref": "ibrahimhabibeg/lr-sigma-with-deep-nn", "kernel_id": "93000686"}, {"ref": "mukhilkannan/0-364-lb-score-public-and-0-342-private", "kernel_id": "93039482"}, {"ref": "mukhilkannan/0-370-score-public-and-0-363-score-private", "kernel_id": "93039494"}, {"ref": "alehandreus/ariel-2025-boosting", "kernel_id": "94381130"}, {"ref": "akkiraj2363/team-9-submissions", "kernel_id": "98944243"}, {"ref": "akshitgaur2005/understanding-the-data", "kernel_id": "99922104"}, {"ref": "akkiraj2363/ariel-advanced-fgs1-feature-engineering-lgbm", "kernel_id": "100048267"}, {"ref": "nocarbonintelligence/neurips-ariel-data-challenge-2025", "kernel_id": "103280504"}, {"ref": "abdulkalamkhan/ariel-major-project", "kernel_id": "112887632"}, {"ref": "abdulkalamkhan/calibrating-and-binning-ariel-data", "kernel_id": "113137435"}, {"ref": "mariaaaa123/adc-eda-preprocessing", "kernel_id": "116724158"}, {"ref": "dimaspashaakrilian/optimizing-exoplanet-signal-retrieval-a-latin-squ", "kernel_id": "116477459"}, {"ref": "sakhawathossen/arial-data-challange", "kernel_id": "121209886"}, {"ref": "adityaud2501/ariel-data-exploratory-data-analysis-detector-ca", "kernel_id": "135139050"}, {"ref": "thesukuna/ariel-data-challenge-stage-2", "kernel_id": "136429106"}, {"ref": "thesukuna/ariel-data-challenge-stage-1", "kernel_id": "136377320"}]}
{"competition_id": "101895", "kernels": []}
{"competition_id": "101907", "kernels": []}
{"competition_id": "102067", "kernels": []}
{"competition_id": "102094", "kernels": [{"ref": "gomes555/mental-health-prediction-challenge", "kernel_id": "83499075"}, {"ref": "rafaeldrago/mental-health-prediction", "kernel_id": "83075107"}, {"ref": "jinmyungkim98/mental-health-prediction-challenge-r", "kernel_id": "84850839"}, {"ref": "husniiiiii/mental-health-prediction-using-logistic-regression", "kernel_id": "87425612"}, {"ref": "shanprithvik/mental-health-prediction-using-random-forest", "kernel_id": "88576991"}, {"ref": "pulasthikarunarathne/mental-health-prediction-using-random-forest", "kernel_id": "88510025"}]}
{"competition_id": "102243", "kernels": []}
{"competition_id": "102260", "kernels": [{"ref": "sameerhandsome1234/melbourne", "kernel_id": "82944289"}]}
{"competition_id": "102335", "kernels": [{"ref": "sohier/cmi-2025-demo-submission", "kernel_id": "83969988"}, {"ref": "docxian/cmi-detect-behaviour-first-visual-steps", "kernel_id": "83994669"}, {"ref": "sayedathar11/imu-only-boosting-baseline-for-bfrb-gestures", "kernel_id": "83995130"}, {"ref": "ravi20076/cmi2025-data-v1", "kernel_id": "83996808"}, {"ref": "suthcong/cmi-2025-eda-gesture-and-missingvalue-xgb", "kernel_id": "83989295"}, {"ref": "dalloliogm/tpu-can-you-beat-gpu", "kernel_id": "84001429"}, {"ref": "dalloliogm/neural-network-architectures", "kernel_id": "84031431"}, {"ref": "sunilmistri/cmi-version-1", "kernel_id": "84627936"}, {"ref": "fejust/cmi-first-eda", "kernel_id": "84133679"}, {"ref": "robalejandrogon/cmi-2025-eda-and-insights", "kernel_id": "84794115"}, {"ref": "kumarandatascientist/lb-0-65-cmi-2025-1d-cnn-imu-only-baseline", "kernel_id": "84171777"}, {"ref": "taimour/cmi-deep-dive-eda-boosters", "kernel_id": "84570716"}, {"ref": "nnjjpp/cmi-2025-using-the-metric", "kernel_id": "84587756"}, {"ref": "arunodhayan/imu-only-cmi", "kernel_id": "84503094"}, {"ref": "eryash15/imu-temporal-fusion-transformer-classification", "kernel_id": "84036311"}, {"ref": "stpeteishii/behavior-data-histplot", "kernel_id": "84192741"}, {"ref": "stpeteishii/behavior-lightning-3dcnn-submit-inetoff", "kernel_id": "84520266"}, {"ref": "gunesevitan/cmi-dbwsd-inference", "kernel_id": "84192835"}, {"ref": "gerwynng/use-read-feather-to-save-20s", "kernel_id": "84581900"}, {"ref": "komurase/cmi-dbsd-eda-1-gif-viewer", "kernel_id": "84765815"}, {"ref": "koushikcon/cmi-2025-sample-visualization", "kernel_id": "84650599"}, {"ref": "mpwolke/gemini-bfrbs-cmi", "kernel_id": "84085985"}, {"ref": "mpwolke/impulsivity-disorders-bfrbs", "kernel_id": "84023107"}, {"ref": "kitsuha/lb-0-75-cmi-2025-iaff", "kernel_id": "84727536"}, {"ref": "takanashihumbert/cmi-pytorch-all-in-one-baseline-train", "kernel_id": "84209262"}, {"ref": "alejopaullier/cmi-wavenet-pytorch-imu-only-train", "kernel_id": "84015475"}, {"ref": "alejopaullier/cmi-wavenet-pytorch-imu-only-inference", "kernel_id": "84415649"}, {"ref": "dedquoc/cmi-2025-with-xgboost", "kernel_id": "84576328"}, {"ref": "dedquoc/cmi-2025-visualize-with-r", "kernel_id": "84129898"}, {"ref": "dedquoc/cmi-2025-visualize-first", "kernel_id": "84119576"}, {"ref": "hideyukizushi/cmi25-imu-thm-tof-tf-bilstm-gru-attention-lb-75", "kernel_id": "84946148"}, {"ref": "chumajin/cmi3-how-to-use-h5numpyimage-file", "kernel_id": "84055139"}, {"ref": "chumajin/cmi3-make-2d-tof-numpyimages", "kernel_id": "84033257"}, {"ref": "taikimori/baseline-cmi-2025-pytorch-lightning-tcn", "kernel_id": "84288409"}, {"ref": "benjenkins96/comprehensive-eda-for-cmi-bfrb-detection", "kernel_id": "84028148"}, {"ref": "surayuthpintawong/simple-rf-cmi", "kernel_id": "84976116"}, {"ref": "satoshissss/cmi-bfrb-cnn-lstm-training", "kernel_id": "84708024"}, {"ref": "satoshissss/cmi-bfrb-baseline-inference-v1-1-0-fixed-v2", "kernel_id": "84743391"}, {"ref": "satoshissss/cmi-bfrb-cnn-lstm-inference", "kernel_id": "84749629"}, {"ref": "satoshissss/cmi-cnn-lstm-inference", "kernel_id": "84851435"}, {"ref": "satoshissss/cmi-cnn-lstm-inference-v2", "kernel_id": "84851587"}, {"ref": "satoshissss/cmi-bfrb-imu-inference-v10-frequency-features", "kernel_id": "84874941"}, {"ref": "solays/bfrb-detection-pytorch-experiment", "kernel_id": "84438442"}, {"ref": "tatamikenn/cmi-eda-visualize-sample-gestures", "kernel_id": "84428561"}, {"ref": "tatamikenn/eda-drift-in-velocity-position-estimate", "kernel_id": "84695424"}, {"ref": "tatamikenn/cmi-render-herios-data-bug-fixed", "kernel_id": "84588296"}, {"ref": "coopermini/baseline-tree-based-ml-models-for-classification", "kernel_id": "84719822"}, {"ref": "coreymichaud/cmi-2025-training", "kernel_id": "84029021"}, {"ref": "coreymichaud/cmi-2025-inference-xgboost-baseline", "kernel_id": "84215177"}, {"ref": "samithsachidanandan/lb-0-72-cmi-2025-tensor-flow", "kernel_id": "84230125"}, {"ref": "octaviograu/cmi-bfrb-gestures-standalone-catboost", "kernel_id": "84001401"}, {"ref": "jocelyndumlao/cmi-gesture-recognition-eda-and-baseline-model", "kernel_id": "84046292"}, {"ref": "mohammed165/0-66-multi-model-classification-tof-imu", "kernel_id": "84206439"}, {"ref": "youssefelzahar/cmi-detect-behavior-xgboosting", "kernel_id": "84101201"}, {"ref": "arafathowlader/cmi-detect-behavior-with-sensor-data", "kernel_id": "84838099"}, {"ref": "ryenhails/imu-only-baseline-lgbm-using-worldacc", "kernel_id": "84808883"}, {"ref": "kakuteki/cmi-baseline-cnn-gru", "kernel_id": "84135841"}, {"ref": "kakuteki/feature-data-augmentation-randomforest-cmi", "kernel_id": "84058741"}, {"ref": "kakuteki/eda-detect-behavior-with-sensor-data", "kernel_id": "84004751"}, {"ref": "kakuteki/randomforestclassifier-cmi-bfrb-gestures", "kernel_id": "84012805"}, {"ref": "kakuteki/cmi-baseline-cnn-transformer", "kernel_id": "84171783"}, {"ref": "ravi20076/cmi2025-api-public-test-v1", "kernel_id": "84999599"}, {"ref": "ravi20076/cmi2025-public-baseline-train-v4", "kernel_id": "84609443"}, {"ref": "ravi20076/cmi2025-public-baseline-submission-v4", "kernel_id": "84611722"}, {"ref": "ravi20076/cmi2025-public-baseline-v3", "kernel_id": "84591383"}, {"ref": "ravi20076/cmi2025-public-baseline-v2", "kernel_id": "84061366"}, {"ref": "ravi20076/cmi2025-public-imports-v2", "kernel_id": "84074548"}, {"ref": "ravi20076/cmi2025-baseline-train-v1", "kernel_id": "84013935"}, {"ref": "ravi20076/cmi2025-public-imports-v1", "kernel_id": "84014072"}, {"ref": "ravi20076/cmi2025-baseline-submission-v1", "kernel_id": "84035388"}, {"ref": "farisalahmdi/lgbm-starter", "kernel_id": "84137018"}, {"ref": "farisalahmdi/lgbm-inference", "kernel_id": "84199418"}, {"ref": "petermoorhouse/tof-sensor-transforms-gifs", "kernel_id": "84725390"}, {"ref": "petermoorhouse/imu-accel-rotations-gravity", "kernel_id": "84626155"}, {"ref": "esraaalsaeede/cmi-lb-0-71", "kernel_id": "84968675"}, {"ref": "sabreenelkamash/cmi-detect-behavior-with-sensor-df-training", "kernel_id": "84445287"}, {"ref": "salmanahmedtamu/pytorch-training-infer-pipeline-0-72", "kernel_id": "84720769"}, {"ref": "kaigaokaigao/lb-0-75-imu-only-multibranch-inference", "kernel_id": "84960565"}, {"ref": "shionao7/cmi2025-overview-data", "kernel_id": "84043340"}, {"ref": "mhazett/detect-behavior", "kernel_id": "84098900"}, {"ref": "vaishnavimudaliar/detailed-eda-for-cmi-train-data", "kernel_id": "84065065"}, {"ref": "vaishnavimudaliar/detailed-eda-for-cmi-train-data-fe", "kernel_id": "84142078"}, {"ref": "khoatran311/quick-and-dirty-eda-with-polars", "kernel_id": "84038642"}, {"ref": "masayakawamata/cmi2025-lstm-ensemble", "kernel_id": "84851295"}, {"ref": "masayakawamata/cmi2025-catboost-all-censors", "kernel_id": "84865354"}, {"ref": "masayakawamata/cmi2025-single-lgbm-train", "kernel_id": "84630991"}, {"ref": "masayakawamata/cmi2025-single-lgbm-infer", "kernel_id": "84640180"}, {"ref": "masayakawamata/cmi2025-double-catboost-infer", "kernel_id": "84689951"}, {"ref": "masayakawamata/cmi2025-single-catboost-train", "kernel_id": "84688982"}, {"ref": "hsanmutlukaradeniz/notebooke992047213", "kernel_id": "84210413"}, {"ref": "sharifi76/imu-tof", "kernel_id": "84286826"}, {"ref": "tarundirector/sensor-pulse-viz-eda-for-bfrb-detection", "kernel_id": "84040199"}, {"ref": "chrisk321/cmi-2025-solo-lightgbm", "kernel_id": "84097736"}, {"ref": "chrisk321/cmi-detect-behavior-complete-eda", "kernel_id": "84027086"}, {"ref": "nurrofiqia/detect-behavior-with-sensor-data", "kernel_id": "84439887"}, {"ref": "hyeoungseokkim/notebook9a551290e4", "kernel_id": "84420008"}, {"ref": "hyeoungseokkim/submit", "kernel_id": "84814796"}, {"ref": "richolson/cmi-dead-reckoning-3d-gesture-reconstruction", "kernel_id": "84672329"}, {"ref": "richolson/cmi-2025-1d-cnn-imu-only-baseline", "kernel_id": "84050779"}, {"ref": "mrpies/cmi-2025-detect-motion", "kernel_id": "84034339"}, {"ref": "peilwang/train-infer-pytorch", "kernel_id": "84736645"}, {"ref": "addankimadhavsarma/first-comp", "kernel_id": "84063437"}, {"ref": "ichigoe/cmi2025-tabm-catboost-baseline", "kernel_id": "84694806"}, {"ref": "ahmedxhamada/child-mind-institute-detect-bfrb-with-sensor", "kernel_id": "84066344"}, {"ref": "armanzhalgasbayev/oikan-cmi-2025-submission", "kernel_id": "84484289"}, {"ref": "armanzhalgasbayev/oikan-interpretable-ml-for-cmi-2025-training", "kernel_id": "84487527"}, {"ref": "reddevils14/cmi25-imu-thm-tof-87", "kernel_id": "84966672"}, {"ref": "gagandeep44489/cmianalyssisandpredictionbyg", "kernel_id": "84182522"}, {"ref": "chaitanyamusale/basic-eda-cmi", "kernel_id": "84011554"}, {"ref": "abhyudaya456/0-48-cmi-notebook-v1-beginner", "kernel_id": "84026233"}, {"ref": "qmarva/multiclass-model-comparison", "kernel_id": "84671675"}, {"ref": "qmarva/cmi-bfrb-understanding-data", "kernel_id": "84706257"}, {"ref": "nadiatriki/deep-eda-chill-don-t-lb-too-early", "kernel_id": "84159216"}, {"ref": "harshitakumari256/cmi-sharedtransformer", "kernel_id": "84877190"}, {"ref": "l1ghtsource/trajectory-reconstruction", "kernel_id": "84398743"}, {"ref": "merolavtechnology/bfrb-detection-with-sensors-inference-only", "kernel_id": "84239473"}, {"ref": "koushikkumardinda/cmi-detect-behavior-with-sensor-data", "kernel_id": "84878704"}, {"ref": "saikoh/notebooked1f38a7e4", "kernel_id": "84594791"}, {"ref": "saikoh/notebook7f51e7bf0c", "kernel_id": "84592551"}, {"ref": "saikoh/notebookc00b2197de", "kernel_id": "84597707"}, {"ref": "mandavasaivikranth/notebook", "kernel_id": "84130090"}, {"ref": "parthok/notebookfcee64b97d", "kernel_id": "84139677"}, {"ref": "sayyedfarrukhmehmood/attribute-insights-before-eda", "kernel_id": "84054035"}, {"ref": "sayyedfarrukhmehmood/cmi25-baseline", "kernel_id": "84695124"}, {"ref": "sayyedfarrukhmehmood/faster-data-handling-with-polars-parquet", "kernel_id": "84651624"}, {"ref": "krishnayadav456wrsty/detect-behavior-with-sensor-data", "kernel_id": "84472805"}, {"ref": "vineetsharma9252/cmi-2025-demo-submission", "kernel_id": "84590432"}, {"ref": "llkh0a/ensemble-training", "kernel_id": "84679948"}, {"ref": "jiaoyouzhang/cmi-2025-only-lightgbm-training", "kernel_id": "84670199"}, {"ref": "jiaoyouzhang/cmi-2025-only-lightgbm", "kernel_id": "84012963"}, {"ref": "hosseinbahraminekoo/bfrb-inference-notebook", "kernel_id": "84825243"}, {"ref": "ruhul20/cmi-gesture-recognitionen-ensemble", "kernel_id": "84314003"}, {"ref": "mohamedosman2024/cmi-detect-behavior-with-sensor-data", "kernel_id": "84537730"}, {"ref": "mohanapavanbezawada/detect-behavior-with-sensor-data", "kernel_id": "84000726"}, {"ref": "ou20040313/cmi-sensor-data-voting-lgbm-xgb-cb", "kernel_id": "84623505"}, {"ref": "syedmuhammadmehrands/bfrb-training-file-lstm-with-attention", "kernel_id": "84702375"}, {"ref": "syedmuhammadmehrands/competition-training-vanilla-models", "kernel_id": "84067004"}, {"ref": "syedmuhammadmehrands/submission-random-forest-imu-only", "kernel_id": "84289006"}, {"ref": "syedmuhammadmehrands/lstm-with-attention-submission", "kernel_id": "84822675"}, {"ref": "nikhilmalvi/notebookcd282847f3", "kernel_id": "84680621"}, {"ref": "naveenreddy1724/cmi-sample-code", "kernel_id": "84973454"}, {"ref": "kospintr/cmi-2d-3d-cnn-dnn", "kernel_id": "84284612"}, {"ref": "rofloflex/notebook71cb6b5e27", "kernel_id": "84994613"}, {"ref": "hirotoshisaito/cmi-hs-0611", "kernel_id": "84879453"}, {"ref": "hemantojha1/cmi-detect-behavior-with-sensor-data", "kernel_id": "84204943"}, {"ref": "chalihassan/imu-tof", "kernel_id": "84227051"}, {"ref": "aiengrimran/action-detection-cmi", "kernel_id": "84312702"}, {"ref": "vonmainstein/full-data-cmi-baseline-cnn-lstm", "kernel_id": "84161143"}, {"ref": "vonmainstein/lb-0-68", "kernel_id": "84134252"}, {"ref": "vonmainstein/improve-cnn", "kernel_id": "84129944"}, {"ref": "vonmainstein/cmi-baseline-cnn-lstm", "kernel_id": "84128632"}, {"ref": "vonmainstein/imu-tof", "kernel_id": "84151175"}, {"ref": "choeyoungju/submission", "kernel_id": "84796976"}, {"ref": "michaelvanhulle/imu-tof-thm", "kernel_id": "84213648"}, {"ref": "xxarsenexx/notebook07e2d281df", "kernel_id": "84712477"}, {"ref": "feliperodriguez95/cmi-lightgbm-tof-pro-v1", "kernel_id": "84072734"}, {"ref": "itsuki0911/multi-label-hybrid-efficientnet", "kernel_id": "84256342"}, {"ref": "nazarov/lb-79-work-with-time", "kernel_id": "85971759"}, {"ref": "jiazhuang/cmi-imu-only-lstm", "kernel_id": "85336997"}, {"ref": "jiazhuang/cmi-imu-only-lightgbm-train", "kernel_id": "85188027"}, {"ref": "jiazhuang/cmi-imu-only-lightgbm-infer", "kernel_id": "85193388"}, {"ref": "forgakki/21th-solution", "kernel_id": "85258389"}, {"ref": "morodertobias/cmi-lstm-classifier-starter", "kernel_id": "85566995"}, {"ref": "morodertobias/cmi-lstm-classifier-starter-inference", "kernel_id": "85602078"}, {"ref": "bohdanpas/cmi-sensor-data-prediction", "kernel_id": "85661309"}, {"ref": "alejopaullier/cmi-sequence-data-augmentation", "kernel_id": "85223549"}, {"ref": "hideyukizushi/lb-0-78-quaternions-tf-bilstm-gru-attention", "kernel_id": "85646067"}, {"ref": "hideyukizushi/cmi25-imu-thm-tof-tf-blendingmodel-lb-82", "kernel_id": "85882819"}, {"ref": "naitoyuta/bfrb-ny-notebook", "kernel_id": "85806503"}, {"ref": "chrisjm80/cmi-basic-submission", "kernel_id": "85705211"}, {"ref": "chrisjm80/imu-thm-tof-pytorch-bilstm-gru-attention", "kernel_id": "85122099"}, {"ref": "satoshissss/cmi-bfrb-simple-two-branch-light-v5-inference", "kernel_id": "85443408"}, {"ref": "satoshissss/cmi-bfrb-simple-two-branch-light-v5-6-inference", "kernel_id": "85543136"}, {"ref": "satoshissss/cmi-bfrb-stbl-v5-6-improved-inference", "kernel_id": "85545018"}, {"ref": "ahsanulislam/begin-with-basic-cmi", "kernel_id": "85607657"}, {"ref": "ryota040/cmi-ultra-advanced-v2-61-80", "kernel_id": "85803543"}, {"ref": "ryota040/cmi-ultra-advanced-v2-clean", "kernel_id": "85803792"}, {"ref": "ryota040/cmi-ultra-advanced-v2-fixed", "kernel_id": "85804129"}, {"ref": "ryota040/cmi-ultra-advanced-v2-final", "kernel_id": "85805628"}, {"ref": "ryota040/cmi-ultra-advanced-71-86", "kernel_id": "85793473"}, {"ref": "ryota040/cmi-ultra-advanced-71-86-v2", "kernel_id": "85793678"}, {"ref": "ryota040/cmi-ultra-advanced-71-86-fixed", "kernel_id": "85793965"}, {"ref": "pira245/cmi-demographic-dataset-eda-1", "kernel_id": "85508427"}, {"ref": "pira245/cmi-detect-gesture-with-a-wrist-worm-device", "kernel_id": "85496548"}, {"ref": "thomasdubail/cmi2025-imu-data-only-sgkfold-0-73-0-02-lb-0-73", "kernel_id": "85093245"}, {"ref": "coreymichaud/testing-xgb-with-wandb", "kernel_id": "85291586"}, {"ref": "khoatran311/kinematicrestcnn-inference", "kernel_id": "85750005"}, {"ref": "abhinavsharma0706/cmi-detect", "kernel_id": "85268871"}, {"ref": "abhinavsharma0706/sensor-cmi", "kernel_id": "85928923"}, {"ref": "juniismail/notebook96ea7bf81d", "kernel_id": "85106056"}, {"ref": "nezihniegu/cmi-detect-behavior-with-sensor-data", "kernel_id": "85387755"}, {"ref": "oostg0t/cmi-full-eda-russian", "kernel_id": "85758014"}, {"ref": "wulianmiao/lstm-transformer-0-68", "kernel_id": "85151908"}, {"ref": "wulianmiao/cmi-lism-cnn", "kernel_id": "85543897"}, {"ref": "adamlogman/baseline-for-beginners-light-gbm", "kernel_id": "85433967"}, {"ref": "comp8oe/cmi25-k1-2-cnn", "kernel_id": "85702536"}, {"ref": "comp8oe/cmi25-k1-3-4-cnn", "kernel_id": "85934073"}, {"ref": "moetasimrady/simulating-test-set-at-inference-time", "kernel_id": "85509296"}, {"ref": "moetasimrady/fork-of-cmi-2025-first-submission", "kernel_id": "85056581"}, {"ref": "anhthbiphc/simple-imu-only-lgbm-baseline-using-worldacc", "kernel_id": "85721741"}, {"ref": "quynhanh2004/cmi-ensemble-models-tabm-catboost-ensemble", "kernel_id": "85908961"}, {"ref": "quynhanh2004/iris-code2", "kernel_id": "85768383"}, {"ref": "quynhanh2004/iris-code1", "kernel_id": "85676962"}, {"ref": "ismail89/gesture-recognition-system-cnn-bilstm-attention", "kernel_id": "85619998"}, {"ref": "ttd113/lb-0-76-imu-thm-tof-tf-bilstm-gru-attention", "kernel_id": "85180297"}, {"ref": "yousefelshahat2/xgboost-without-fine-tuning", "kernel_id": "85467216"}, {"ref": "ravaghi/cmi-2025-logistic-regression-training", "kernel_id": "85437812"}, {"ref": "ravaghi/cmi-2025-logistic-regression-inference", "kernel_id": "85437641"}, {"ref": "utkarsh1232/lb-0-77-imu-only-training-with-fastai", "kernel_id": "85784875"}, {"ref": "sakaken/eda-acc-feature", "kernel_id": "85562147"}, {"ref": "sakaken/exp00-v2-training", "kernel_id": "85074586"}, {"ref": "sakaken/exp00-v2-submission", "kernel_id": "85085294"}, {"ref": "sakaken/exp001-submission-v2", "kernel_id": "85263848"}, {"ref": "kishorevishal/1dcnn-0-imu-thm-no-attention", "kernel_id": "85254385"}, {"ref": "uzairlol/submission-parquet", "kernel_id": "85477080"}, {"ref": "arpan11/final-cmi", "kernel_id": "85803544"}, {"ref": "kurimats/cmi-2025-simple-randomforest-safe-submission", "kernel_id": "85742633"}, {"ref": "psxbrosa/cmi-2025-demo-submission", "kernel_id": "85174541"}, {"ref": "samasiayushman/complete-visualization-guides", "kernel_id": "85735984"}, {"ref": "pepushi/imu-tof-thm-fusion-with-physics-fe-mixup-lb0-8", "kernel_id": "85764569"}, {"ref": "paperxd/cmi-xgboost-even-more-features-voting-classify", "kernel_id": "85689683"}, {"ref": "manasi197/enhanced-cmi-behavior-detection", "kernel_id": "85284309"}, {"ref": "rktqwe/lb-0-76-imu-thm-tof-tf-bilstm-gru-attention", "kernel_id": "85100065"}, {"ref": "rktqwe/lb-0-77-linear-accel-tf-bilstm-gru-attention", "kernel_id": "85158997"}, {"ref": "taichi33/cmi-2025-demo-submission", "kernel_id": "85555988"}, {"ref": "sedattun/cmi-deep", "kernel_id": "85071103"}, {"ref": "nksusth/lb-0-79-work-with-time-bilstm-gru-attention", "kernel_id": "85813413"}, {"ref": "nksusth/lb-0-78-quaternions-tf-bilstm-gru-attention", "kernel_id": "85644476"}, {"ref": "comhek/gesturesense-imu-tof-recognition-0-69-lb", "kernel_id": "85268310"}, {"ref": "yusuketogashi/first-of-all-the-basic-eda", "kernel_id": "85008526"}, {"ref": "dheerajkannaujiya/cmi-master-blender-submission-1", "kernel_id": "85482924"}, {"ref": "dheerajkannaujiya/cmi-2025-demo-submission", "kernel_id": "85140118"}, {"ref": "naveenthumati/cmi-baseline-naveen", "kernel_id": "85489680"}, {"ref": "sarveshjoshi29/sarveshpipeline-cmi", "kernel_id": "85503447"}, {"ref": "sarveshjoshi29/submission-sarvesh", "kernel_id": "85513661"}, {"ref": "yichennie/imu-thm-tof-tf-bilstm-gru-attention", "kernel_id": "85265250"}, {"ref": "nishantroy449/bfrb-model-v2", "kernel_id": "85683348"}, {"ref": "lamhoangnguyen/lb-0-72-cmi-2025-tensor-flow", "kernel_id": "85677585"}, {"ref": "mofumofuchan/cmi-bfrb-training-bilstm-gru-attention", "kernel_id": "86291141"}, {"ref": "mofumofuchan/improved-bfrb-bilstm-gru-attention-lb-75-target", "kernel_id": "86290359"}, {"ref": "mofumofuchan/cmi-submission-bilstm-gru-attention", "kernel_id": "86292304"}, {"ref": "gauravbrills/deps-install-cmi", "kernel_id": "86762891"}, {"ref": "msthil/baseline-simple-stats", "kernel_id": "86903148"}, {"ref": "tom99763/mcmc-imu-data-modeling-cmi", "kernel_id": "86406112"}, {"ref": "satoshissss/cmi-bfrb-v13-tensorflow-inference", "kernel_id": "86452886"}, {"ref": "satoshissss/cmi-bfrb-v13-lightgbm-inference", "kernel_id": "86452903"}, {"ref": "satoshissss/cmi-bfrb-v13-hybrid-inference", "kernel_id": "86452913"}, {"ref": "ahsanulislam/cmi-2025-new", "kernel_id": "86786185"}, {"ref": "ryota040/cmi-mtfn-fixed-model-submission", "kernel_id": "86340684"}, {"ref": "ryota040/cmi-high-accuracy-submission-57-cv", "kernel_id": "86402818"}, {"ref": "kohashi0000/lstm-practice-submit-en-ja", "kernel_id": "86796161"}, {"ref": "myso1987/cmi3-pyroch-baseline-model-add-aug-folds", "kernel_id": "86050599"}, {"ref": "vanshikagupta1136/cmi-detect-behaviour-analysis-charts", "kernel_id": "86202020"}, {"ref": "nakaso/cmi-analysis-traindata", "kernel_id": "86872220"}, {"ref": "kmatsu01/simple-switching-model-imu-and-imu-thm-tof", "kernel_id": "86516929"}, {"ref": "khoatran311/imu-demographic-only-model-training", "kernel_id": "86088234"}, {"ref": "khoatran311/simplified-convolutional-gesture-classifier", "kernel_id": "86467793"}, {"ref": "khoatran311/purely-convolutional-gesture-classifier", "kernel_id": "86414910"}, {"ref": "romanmishura/transformer-time-augmentation", "kernel_id": "86784920"}, {"ref": "mk00000/gyoza-notebook-new", "kernel_id": "86550222"}, {"ref": "andrb3131/cmi-2025-demo-submission", "kernel_id": "86727713"}, {"ref": "ghostff/notebook11ef11730b", "kernel_id": "86042401"}, {"ref": "kentakedabrain/lb-0-81-two-branch-cnn-lstm-gesture-detection-v1", "kernel_id": "86843176"}, {"ref": "vishnupriyagarige/cmi-detect-behavior-with-sensor-data-lgb", "kernel_id": "86151197"}, {"ref": "moetasimrady/cmi-lstm-classifier-with-tof-and-thm", "kernel_id": "86413970"}, {"ref": "anhthbiphc/cmi3-pyroch-baseline-model-add-aug-folds-4c63e7", "kernel_id": "86256372"}, {"ref": "anhthbiphc/lb-0-80-quaternions-tf-bilstm-gru-attention", "kernel_id": "86118558"}, {"ref": "quynhanh2004/iris-code7", "kernel_id": "86249759"}, {"ref": "quynhanh2004/iris-code6", "kernel_id": "86249368"}, {"ref": "quynhanh2004/iris-code5", "kernel_id": "86082366"}, {"ref": "quynhanh2004/iris-sequential", "kernel_id": "86081010"}, {"ref": "quynhanh2004/iris-code8", "kernel_id": "86347265"}, {"ref": "quynhanh2004/iris-temporal-convolutional-network", "kernel_id": "86370492"}, {"ref": "quynhanh2004/cmi-mu-harmodel-deep-learning", "kernel_id": "86371384"}, {"ref": "quynhanh2004/iris-code11", "kernel_id": "86451330"}, {"ref": "aariff/lstm-model", "kernel_id": "86500163"}, {"ref": "ravaghi/cmi-2025-weighted-ensemble-inference", "kernel_id": "86116779"}, {"ref": "ravaghi/cmi-2025-weighted-ensemble-training", "kernel_id": "86116782"}, {"ref": "brianjing/child-mind-institute-bfrb", "kernel_id": "86900407"}, {"ref": "wuanwan/cmi2025-eda", "kernel_id": "86603824"}, {"ref": "utkarsh1232/cmi-inference-with-fastai", "kernel_id": "86207676"}, {"ref": "harutokotou/cmi-imu-only-90ccd1", "kernel_id": "86962266"}, {"ref": "garyzhao13/cmi-baseline-model-add-aug-folds-lb-0-8", "kernel_id": "86289304"}, {"ref": "jeevalshah/fork-of-cmi-2025", "kernel_id": "86115964"}, {"ref": "jeevalshah/fork-of-cmi-2025-a7a5b0", "kernel_id": "86116020"}, {"ref": "jeevalshah/fork-of-cmi-2025-2f042b", "kernel_id": "86116065"}, {"ref": "majiaqi111/split-10-imu-tof-thm-fusion-lb0-81", "kernel_id": "86191920"}, {"ref": "majiaqi111/n-splits-10", "kernel_id": "86184927"}, {"ref": "koushikkumardinda/cmi-detect-behavior-with-sensor-data-gpu-accele", "kernel_id": "86180818"}, {"ref": "hoparkjh/cmi-dataset-1", "kernel_id": "86695930"}, {"ref": "wata2005/dmp-data-augmentation", "kernel_id": "86334758"}, {"ref": "sleekcodeyu/cmi-exp101-submission", "kernel_id": "86005373"}, {"ref": "sleekcodeyu/cmi-exp003-submission", "kernel_id": "86965992"}, {"ref": "ykawakita/conv3d-trial", "kernel_id": "86434601"}, {"ref": "shigekii/pytorch-baseline-predict", "kernel_id": "86438235"}, {"ref": "shigekii/pytorch-baseline-train", "kernel_id": "86417094"}, {"ref": "phmhunhlongv/cmi-detect-behavior-with-sensor-data", "kernel_id": "86937391"}, {"ref": "newbeemrk/trying-sarima-for-eda", "kernel_id": "86451211"}, {"ref": "jipwulffele/eda-visualize-and-align-timeseries", "kernel_id": "86270004"}, {"ref": "scomber/cmi2025-randomforest-training-for-super-beginner", "kernel_id": "86175558"}, {"ref": "krishnayadav456wrsty/detecting-bfrbs-using-helios-sensor-data", "kernel_id": "86509236"}, {"ref": "pepushi/gated-gru-hybrid-ensemble-v02", "kernel_id": "86711509"}, {"ref": "pepushi/imu-only-lb-0-812", "kernel_id": "86205304"}, {"ref": "hmutlu/eda-for-bfrb-detection", "kernel_id": "86350972"}, {"ref": "dda2k6/cmi-detect-behavior-with-sensor-data", "kernel_id": "86555009"}, {"ref": "sandeepm123/augmentation-gru", "kernel_id": "86455833"}, {"ref": "abdulhanan677/lb-0-821-physics-features-tf", "kernel_id": "86853068"}, {"ref": "beijijun/lb0-79-cmi-imu-only", "kernel_id": "86753561"}, {"ref": "kerta27/cmi-post-processing-with-random-choice", "kernel_id": "86507625"}, {"ref": "mgamac0484482/cmi-10-fold-1", "kernel_id": "86724858"}, {"ref": "hsiaosuan/xiaosuancmiupd", "kernel_id": "86700498"}, {"ref": "willongwang/cmi-imu-only-lightgbm-train", "kernel_id": "86866601"}, {"ref": "willongwang/cmi-imu-only-lightgbm-infer-747ae2", "kernel_id": "86866641"}, {"ref": "usoshidey/final-cmi", "kernel_id": "86275345"}, {"ref": "arkajyotidey/final-cmi", "kernel_id": "86433190"}, {"ref": "yash2072005/transformer-based-model", "kernel_id": "86128771"}, {"ref": "sushmachilakala/cmi-detect-behaviour-with-sensor-data", "kernel_id": "86234698"}, {"ref": "anvithpothula/cmi-detect-behavior-with-sensor-data-notebook", "kernel_id": "86908747"}, {"ref": "kibutsujimuzan072/notebooka46fb68dae", "kernel_id": "86414519"}, {"ref": "lamhoangnguyen/cmi-deep-dive-eda-catboost-get-started", "kernel_id": "86433392"}, {"ref": "lamhoangnguyen/cmi-pytorch-lam", "kernel_id": "86342866"}, {"ref": "swastiksen1005a/cmi-notebook", "kernel_id": "86706358"}, {"ref": "hzning/0-81-easy-imu-ensemble-baseline", "kernel_id": "86549206"}, {"ref": "yuemingl/just-changed-the-ensemble-weights-bugfix", "kernel_id": "87374395"}, {"ref": "vigneshbaskaran/cmi-hexo-agent-run-1", "kernel_id": "87578933"}, {"ref": "eraikako/the-wrist-whisperer-bfrb-detection-eda-modeling", "kernel_id": "87405166"}, {"ref": "yerne39/exploratory-data-analysis-test", "kernel_id": "87294738"}, {"ref": "taimour/cmi-stacking-early-stop-cat-xgb-lgbm", "kernel_id": "87323516"}, {"ref": "snnclsr/cmi25-public-ensemble", "kernel_id": "87118397"}, {"ref": "gagsy17/just-weights-gagsy", "kernel_id": "87680291"}, {"ref": "gdceccarini/custom-architecture-3-cnn-mlp-1dcnn", "kernel_id": "87764423"}, {"ref": "wasupandceacar/lb-0-82-5fold-single-bert-model", "kernel_id": "87047629"}, {"ref": "robertghennessy/cmi-xgboost-all-features", "kernel_id": "87623832"}, {"ref": "babakmehrang/eda-cmi-detect-behaior", "kernel_id": "87333760"}, {"ref": "yassermessahli/cmi25-my-submission", "kernel_id": "87964645"}, {"ref": "royasotude/cmi-demo-eda", "kernel_id": "87485647"}, {"ref": "sasaleaf/just-changed-the-ensemble-weights", "kernel_id": "87180576"}, {"ref": "asmasohail/detect-the-mental-health-through-sensor", "kernel_id": "87586012"}, {"ref": "literallytheone/imu-transformer-tcn", "kernel_id": "87936079"}, {"ref": "quynhanh2004/cmi2025-public-imports-v2", "kernel_id": "87053848"}, {"ref": "quynhanh2004/cmi2025-baseline-train-v1", "kernel_id": "87055417"}, {"ref": "quynhanh2004/cmi2025-data-v1", "kernel_id": "87054326"}, {"ref": "quynhanh2004/cmi2025-public-baseline-v3", "kernel_id": "87054476"}, {"ref": "quynhanh2004/cmi2025-public-baseline-submission-v4", "kernel_id": "87062640"}, {"ref": "quynhanh2004/iris-cmi-data", "kernel_id": "87997556"}, {"ref": "francescoalbanesephd/heliostrack-tf-lstm-sgkf-v1-3", "kernel_id": "87416309"}, {"ref": "stemosamaghandour/cmi-detect-behavior-with-sensor-data-by-stemer", "kernel_id": "87843602"}, {"ref": "seoyunje/cmi2025-sensor-data-analysis-with-spectrum-eda", "kernel_id": "87261240"}, {"ref": "l1ghtsource/idea-with-spectrogram-cnn2d", "kernel_id": "87273380"}, {"ref": "yihan178/cmi-competition", "kernel_id": "87396303"}, {"ref": "yihan178/week3-multiclass-logistic-regression", "kernel_id": "87977797"}, {"ref": "yihan178/week3-binary-logistic-regression", "kernel_id": "87963272"}, {"ref": "elhnan/cmi-2025-demo-submission", "kernel_id": "87487022"}, {"ref": "elhnan/cmi-competition-submission", "kernel_id": "87482622"}, {"ref": "sleekcodeyu/cmi-exp004-submission", "kernel_id": "87215300"}, {"ref": "vandanapathania/cmi-detect-behavior-with-sensor-data", "kernel_id": "87066868"}, {"ref": "linheshen/add-new-feature-infer", "kernel_id": "87183841"}, {"ref": "adilshamim8/cmi-detect-behavior", "kernel_id": "87823264"}, {"ref": "zahramollaey/eda-and-preprocessing", "kernel_id": "87681537"}, {"ref": "mohammad1ziyar/who-are-the-participants-cmi-demo-eda", "kernel_id": "87846239"}, {"ref": "kerta27/cmi-ensemble-tf-bert-gated-gru", "kernel_id": "87844043"}, {"ref": "kospintr/cmi-2d-3d-senet-dnn-aug-layer", "kernel_id": "87464109"}, {"ref": "gauravparkhedkar/sensordata", "kernel_id": "87172570"}, {"ref": "yusuketogashi/eight-tests-of-ensemble-ratios", "kernel_id": "87582453"}, {"ref": "nina2025/just-changed-the-ensemble-weights-copy", "kernel_id": "87223422"}, {"ref": "nina2025/cmi25-there-model-ensemble-copy", "kernel_id": "87194439"}, {"ref": "nimakaveh/cmi25-eda-viz-preproc", "kernel_id": "87944982"}, {"ref": "robboyd/cmi-smoke-test", "kernel_id": "87310887"}, {"ref": "sanjeevansritharan43/fork-of-cmi25-imu-thm-tof-tf-blendingmodel-lb", "kernel_id": "87022728"}, {"ref": "nhphuoc/cmi25-public-ensemble", "kernel_id": "87183467"}, {"ref": "lamhoangnguyen/cmi-hoanglam", "kernel_id": "87919435"}, {"ref": "sajadai/cmi25-eda-preprocessing", "kernel_id": "87229016"}, {"ref": "deemok7/cmi25-gesture-sequence-visualization", "kernel_id": "87759360"}, {"ref": "adnankust/cmi-implementation-paper", "kernel_id": "88970211"}, {"ref": "tasmim/cmi-detect-behavior-lgbm-baseline-train-infer", "kernel_id": "88466854"}, {"ref": "thilakn/cmi-detect-behavior-with-sensor-data", "kernel_id": "88304237"}, {"ref": "bonesclarke26/cmi-dbsd-model-training-added-tof-matrix", "kernel_id": "88240338"}, {"ref": "tayfungrlevik/cmi-competition-eda", "kernel_id": "88880530"}, {"ref": "taylorsamarel/cmi-ensemble-of-3-solutions-remix", "kernel_id": "88739467"}, {"ref": "sasaleaf/sasaki-exp-001-train-copyof-shige-exp-003-epch200", "kernel_id": "88912835"}, {"ref": "anhthbiphc/multi-scale-cnn-resnet-se-birnn-attention", "kernel_id": "88299467"}, {"ref": "anhthbiphc/two-branch-se-cnn-birnn-attention-hybrid", "kernel_id": "88206309"}, {"ref": "anhthbiphc/iris-cmi-data-ee16fd", "kernel_id": "88852572"}, {"ref": "muzamilmagsi/the-ensemble-weights", "kernel_id": "88415862"}, {"ref": "gnanasenthilpro/pytorch-baseline-gpro", "kernel_id": "88386727"}, {"ref": "gnanasenthilpro/pytorch-withaugmentation-gpro", "kernel_id": "88805458"}, {"ref": "mrsimple07/detect-behavior-with-sensor-data-0-84-public-sco", "kernel_id": "88499362"}, {"ref": "haohuanchen/cmi25-randomforestclassifier", "kernel_id": "88570678"}, {"ref": "haohuanchen/cmi25-randomforestclassifier-pretrain", "kernel_id": "88192960"}, {"ref": "seoyunje/cmi-2025-hybrid-1d-cnn-with-pytorchlightn-train", "kernel_id": "88543395"}, {"ref": "yihan178/week-4-1d-cnn-imu-only-baseline", "kernel_id": "88459761"}, {"ref": "shruthichandrababu/cmi-behavior-eda-0", "kernel_id": "88539350"}, {"ref": "mohammad1ziyar/cmi-surgical-eda-deep-dive-critical-warnings", "kernel_id": "88143852"}, {"ref": "nassimberrada/cmi-behavior-detection", "kernel_id": "88729139"}, {"ref": "udatyadeb/kaggleworriors", "kernel_id": "88890436"}, {"ref": "kagger3/cmi-imu-only-lstm-65bfde", "kernel_id": "88955346"}, {"ref": "dheerajkannaujiya/cmi-solution-87", "kernel_id": "88124220"}, {"ref": "nina2025/cmi-ensemble-of-3-solutions-horizontal-blend", "kernel_id": "88903858"}, {"ref": "nina2025/cmi-ensemble-of-3-solutions", "kernel_id": "88493302"}, {"ref": "ravindunaveen/cmi-submission-1", "kernel_id": "88244317"}, {"ref": "antitimofey/imu-feature-extractor-77-new-imu-features", "kernel_id": "88500002"}, {"ref": "taiganishimura/cmi-exp008-submission", "kernel_id": "88457276"}, {"ref": "taiganishimura/cmi-exp009-submission", "kernel_id": "88459047"}, {"ref": "lamhoangnguyen/iris-cmi-data-ee16fd", "kernel_id": "88808196"}, {"ref": "lamhoangnguyen/cmi-eda", "kernel_id": "88462419"}, {"ref": "silentkoala2025/cmi-sensor-behavior-detection-keyerror-fixed-vers", "kernel_id": "88078788"}, {"ref": "hzning/top-0-81", "kernel_id": "88199960"}, {"ref": "sajadai/cmi25-conv1d-pytorch-starter", "kernel_id": "88134098"}, {"ref": "mks2192/cmi-detect-behavior-eda", "kernel_id": "89648277"}, {"ref": "nguyenhoa/model-performance-analysis", "kernel_id": "89191188"}, {"ref": "obiaf88/shapelets-cmi", "kernel_id": "89675451"}, {"ref": "maxsarmento/cmi-self-supervised-pretraining-solution", "kernel_id": "89975964"}, {"ref": "maxsarmento/cmi-truly-competitive-solution-4-8h-training", "kernel_id": "89976418"}, {"ref": "maxsarmento/cmi-truly-competitive-solution", "kernel_id": "89976426"}, {"ref": "maxsarmento/cmi-working-solution-tested", "kernel_id": "89972460"}, {"ref": "maxsarmento/cmi-competitive-lgbm-solution", "kernel_id": "89972915"}, {"ref": "maxsarmento/cmi-public-solution-ml-ensemble", "kernel_id": "89972065"}, {"ref": "maxsarmento/cmi-ensemble-multi-level-solution", "kernel_id": "89975146"}, {"ref": "maxsarmento/cmi-deep-learning-multimodal-solution", "kernel_id": "89975633"}, {"ref": "quan0095/cmi-2025-demo-submission", "kernel_id": "89266329"}, {"ref": "tasmim/model-1-training", "kernel_id": "89412324"}, {"ref": "xaviertce/imu-features-cat", "kernel_id": "89454093"}, {"ref": "wasupandceacar/lb-0-841-5fold-single-model-with-split-sensors", "kernel_id": "89192670"}, {"ref": "piloli/cmi-advanced-model-v6", "kernel_id": "89385407"}, {"ref": "piloli/cmi-advanced-model-v5", "kernel_id": "89380206"}, {"ref": "piloli/cmi-physics-based-model-v2", "kernel_id": "89373400"}, {"ref": "piloli/cmi-physics-based-model-v3", "kernel_id": "89373792"}, {"ref": "piloli/cmi-physics-based-model-v4", "kernel_id": "89374068"}, {"ref": "piloli/cmi-v12-simple-inference", "kernel_id": "89608175"}, {"ref": "piloli/cmi-v12-fixed-api", "kernel_id": "89620041"}, {"ref": "piloli/cmi-v13-synthetic-training", "kernel_id": "89707458"}, {"ref": "piloli/cmi-v14-corrected-baseline", "kernel_id": "89741631"}, {"ref": "piloli/cmi-exact-copy-v10-lb-0-853", "kernel_id": "89435811"}, {"ref": "piloli/cmi-deep-learning-v7", "kernel_id": "89398634"}, {"ref": "piloli/cmi-improved-v8-full-dataset", "kernel_id": "89401579"}, {"ref": "piloli/cmi-improved-v8-fixed", "kernel_id": "89405741"}, {"ref": "piloli/cmi-top-solution-v9", "kernel_id": "89413923"}, {"ref": "piloli/cmi-v11-synthetic-data-pre-training", "kernel_id": "89460481"}, {"ref": "piloli/cmi-v11-synthetic-training-v2", "kernel_id": "89498462"}, {"ref": "piloli/cmi-hybrid-v12-synthetic-real-data-ensemble", "kernel_id": "89592361"}, {"ref": "piloli/cmi-hybrid-ensemble-v12", "kernel_id": "89592606"}, {"ref": "piloli/cmi-v11-final-submission", "kernel_id": "89579758"}, {"ref": "piloli/cmi-v12-real-data-training", "kernel_id": "89580740"}, {"ref": "piloli/cmi-v11-gpu-fixed-v3", "kernel_id": "89568232"}, {"ref": "piloli/cmi-v11-inference-synthetic-data-model", "kernel_id": "89571668"}, {"ref": "piloli/cmi-v11-final-synthetic-data", "kernel_id": "89542207"}, {"ref": "piloli/cmi-v11-fixed-data-loading", "kernel_id": "89540956"}, {"ref": "piloli/cmi-v11-gpu-synthetic-data", "kernel_id": "89545628"}, {"ref": "piloli/cmi-v11-gpu-final", "kernel_id": "89545786"}, {"ref": "piloli/cmi-synthetic-v1-final-submission", "kernel_id": "89899965"}, {"ref": "piloli/cmi-submission-synthetic-v1-llm-generated-data", "kernel_id": "89862241"}, {"ref": "piloli/cmi-synthetic-v2-18-class-final-submission", "kernel_id": "89988380"}, {"ref": "piloli/cmi-synthetic-v2-18-class-fixed-submission", "kernel_id": "89988709"}, {"ref": "mahmoudashraf7400/detect-behavior", "kernel_id": "89139497"}, {"ref": "mahmoudashraf7400/cmi-solution", "kernel_id": "89140232"}, {"ref": "behradtabrizipour/cmi-2025-pytorch-tuned-hyper-parameters-cnn", "kernel_id": "89459062"}, {"ref": "sasaleaf/sasaki-exp-005-pipeline-basemodel", "kernel_id": "89407143"}, {"ref": "sasaleaf/sasaki-exp-002-train-onehot", "kernel_id": "89070120"}, {"ref": "sasaleaf/sasaki-exp-003-train-add-preprocess-mixup", "kernel_id": "89065017"}, {"ref": "sasaleaf/sasaki-exp-004-train-customize-features", "kernel_id": "89129839"}, {"ref": "cody11null/public-bert-training-attempt", "kernel_id": "89063414"}, {"ref": "christina0626/clean-code-0-847-lb-ensemble", "kernel_id": "89733483"}, {"ref": "christina0626/lb-0-852-cmi-three-model-ensemble", "kernel_id": "89318024"}, {"ref": "anhthbiphc/cmi-lightgbm-tau", "kernel_id": "89184064"}, {"ref": "anhthbiphc/lightgbm-world-acceleration", "kernel_id": "89150846"}, {"ref": "anhthbiphc/cmi-team", "kernel_id": "89038683"}, {"ref": "anhthbiphc/tpu-gpu", "kernel_id": "89311915"}, {"ref": "anhthbiphc/pytorch-bilstm-gru-attention", "kernel_id": "89646673"}, {"ref": "anhthbiphc/pytorch-bilstm-gru-attention-checkpoint", "kernel_id": "89651247"}, {"ref": "anhthbiphc/conv1d-pytorch", "kernel_id": "89712727"}, {"ref": "anhthbiphc/cmi-cnn-bilstm-demographicfusion", "kernel_id": "89527202"}, {"ref": "anhthbiphc/imu-tof-thermal-se-cnn-bilstm-attention-cmi", "kernel_id": "89505160"}, {"ref": "okudahi/cmi-demo-submission-baseline", "kernel_id": "89066944"}, {"ref": "stephenmcintosh/beijijun-lb0-79-reprod", "kernel_id": "89151525"}, {"ref": "mesuthanavar/cmi-submission", "kernel_id": "89922276"}, {"ref": "sakaken/exp002-training", "kernel_id": "89518990"}, {"ref": "xunden/top4-solution", "kernel_id": "89238392"}, {"ref": "wkdrbwnd1/notebookd174ede81a", "kernel_id": "89396210"}, {"ref": "wkdrbwnd1/high-performing-three-model-ensemble1", "kernel_id": "89334274"}, {"ref": "wkdrbwnd1/high-performing-three-model-ensemble", "kernel_id": "89348713"}, {"ref": "wkdrbwnd1/metta-tta", "kernel_id": "89501735"}, {"ref": "wkdrbwnd1/notebook2cd0519131", "kernel_id": "89398166"}, {"ref": "ikeda0516/imu-thm-tof-tf-blendingmodel-lb-82-ikeda", "kernel_id": "89152224"}, {"ref": "manobattula/cmi-finalv5", "kernel_id": "89594621"}, {"ref": "hoparkjh/simple-imu-only-lgbm-rf-xgboost-baseline-v2", "kernel_id": "89640934"}, {"ref": "hoparkjh/test-cmi", "kernel_id": "89158699"}, {"ref": "shigekii/gravity", "kernel_id": "89152850"}, {"ref": "shigekii/cmi2025", "kernel_id": "89014762"}, {"ref": "birunthabanrajendram/cmi-inference", "kernel_id": "89231521"}, {"ref": "khiemdangle/cmi-challenge-training", "kernel_id": "89841565"}, {"ref": "llkh0a/ensemble-of-4-solutions", "kernel_id": "89652731"}, {"ref": "llkh0a/lb8-4-5fold-model-with-split-sensors-param-tuning", "kernel_id": "89899342"}, {"ref": "dharshananadarajah/notebookf004fe020f", "kernel_id": "89455718"}, {"ref": "chandrasekars10/one-modal-imu", "kernel_id": "89186787"}, {"ref": "shubhojitnaskar/cmi-code", "kernel_id": "89920702"}, {"ref": "mahoganybuttstrings/5fold-single-model-with-split-sensors-train", "kernel_id": "89511682"}, {"ref": "sandeepm123/augmentation-and-feat-cmi", "kernel_id": "89677312"}, {"ref": "zhaowenhua/public-bert-training-attempt", "kernel_id": "89766656"}, {"ref": "kagger3/cmi-yyh", "kernel_id": "89033851"}, {"ref": "kerta27/cmi-adaptive-ensemble-tfx40-bert-gated-gru", "kernel_id": "89298392"}, {"ref": "richardnuckols/jhu-dnn-fp-submission-notebook-rcn", "kernel_id": "89139223"}, {"ref": "yusuketogashi/lb0-851-cmi-ensemble-of-3-solutions-v2", "kernel_id": "89088317"}, {"ref": "yusuketogashi/lb0-853-fork-of-cmi-ensemble-of-3-solutions-v3", "kernel_id": "89116801"}, {"ref": "shamimhasan8/a-comprehensive-approach", "kernel_id": "89025442"}, {"ref": "nina2025/h-blend", "kernel_id": "89072248"}, {"ref": "nina2025/cmi-detect-behavior-with-sensor-data", "kernel_id": "89994681"}, {"ref": "yichi02/cmi-v2", "kernel_id": "89657467"}, {"ref": "yichi02/v1-1-kaggle-submission-notebook", "kernel_id": "89710998"}, {"ref": "lamhoangnguyen/cmi-team-model-2", "kernel_id": "89586166"}, {"ref": "lamhoangnguyen/cmi-xgb-lgbm", "kernel_id": "89282641"}, {"ref": "lamhoangnguyen/cmi-team-ho-ng-lam", "kernel_id": "89057306"}, {"ref": "lamhoangnguyen/iris-cmi-data-ee16fd-b1a2f5", "kernel_id": "89057423"}, {"ref": "givemeworks/submission-parquet", "kernel_id": "89372764"}, {"ref": "nazarov/cmi-utils", "kernel_id": "90214770"}, {"ref": "nazarov/ln-infer", "kernel_id": "90513889"}, {"ref": "urvishp80/2-layer-transformer-lstm-inference", "kernel_id": "90965543"}, {"ref": "urvishp80/cmi-enumerate-weights-for-model-3", "kernel_id": "90245520"}, {"ref": "enddl22/cmi-detect-behavior-with-sensor-data-415cd7", "kernel_id": "90363706"}, {"ref": "maxsarmento/cmi-real-trained-ml-solution-v2", "kernel_id": "90024412"}, {"ref": "maxsarmento/cmi-real-ml-submission-script", "kernel_id": "90024641"}, {"ref": "maxsarmento/cmi-deep-learning-multimodal-v2", "kernel_id": "90003881"}, {"ref": "maxsarmento/cmi-ensemble-multilevel-v2", "kernel_id": "90003924"}, {"ref": "maxsarmento/cmi-self-supervised-v2", "kernel_id": "90003967"}, {"ref": "maxsarmento/cmi-truly-competitive-v2", "kernel_id": "90003993"}, {"ref": "maxsarmento/cmi-competitive-physics-aware-solution", "kernel_id": "90018279"}, {"ref": "w5833946/all-m14-cnn-gru-train", "kernel_id": "90920167"}, {"ref": "w5833946/m21-cnn-gru-train", "kernel_id": "90832354"}, {"ref": "tasmim/complete-feature-extraction-pipeline", "kernel_id": "90013466"}, {"ref": "tasmim/model-1-bfrb-detect-multi-branch-cnn-lstm-tuning", "kernel_id": "90216489"}, {"ref": "piloli/cmi-synthetic-v2-18class-final-parquet-fix", "kernel_id": "90016237"}, {"ref": "pira245/gru-model-gesture-multiclass-imu-temp", "kernel_id": "90508335"}, {"ref": "pira245/gru-model-gesture-multiclass-imu", "kernel_id": "90333003"}, {"ref": "lcooper1972/bfrb-detection-eda-deep-dive-into-wrist-sensor-da", "kernel_id": "90679804"}, {"ref": "limitwolf/cmi-5fold-dtf-v2", "kernel_id": "90907738"}, {"ref": "anhthbiphc/1-baseline-classical-ml", "kernel_id": "90660810"}, {"ref": "anhthbiphc/3-transformers-modern-time-series-models", "kernel_id": "90666502"}, {"ref": "anhthbiphc/2-deep-learning-sequence-models", "kernel_id": "90664341"}, {"ref": "anhthbiphc/4-multimodal-fusion-models", "kernel_id": "90696410"}, {"ref": "anhthbiphc/5-representation-learning-self-supervised", "kernel_id": "90697989"}, {"ref": "daniyalatta/target-achieve-0-86-inshaallah", "kernel_id": "90139509"}, {"ref": "rohitsharma777/cmi-detet-behavior-with-sensors-submission", "kernel_id": "90852472"}, {"ref": "aleksanderskup/cmi-2025-1d-cnn-imu-only-baseline", "kernel_id": "90823431"}, {"ref": "ankurksingh1312/cmi-ankur-sumbmission", "kernel_id": "90673054"}, {"ref": "wkdrbwnd1/cmi-submission-tscaled-stacked-demo", "kernel_id": "90191116"}, {"ref": "wkdrbwnd1/notebookc94de9fdd9", "kernel_id": "90253521"}, {"ref": "hoparkjh/cmi-autogluon", "kernel_id": "90393953"}, {"ref": "muhammaddanyalmalik/detect-behavior-with-sensor-data-easily-tune", "kernel_id": "90156900"}, {"ref": "muhammaddanyalmalik/cmi-configuration-on-epochs", "kernel_id": "90702741"}, {"ref": "morikawatakeshi/cmi-detect-behavior-exp330-inference", "kernel_id": "90548027"}, {"ref": "wanweiyang/match01", "kernel_id": "90191593"}, {"ref": "yake666/00001", "kernel_id": "90506421"}, {"ref": "llkh0a/ensemble-of-4-solutions-hblends", "kernel_id": "90909856"}, {"ref": "juanfengyang/cmi-ensemble-model-4ebac5", "kernel_id": "90996727"}, {"ref": "luochunmei/submissionplus", "kernel_id": "90974448"}, {"ref": "a2628045536/cmicom", "kernel_id": "90978471"}, {"ref": "nina2025/cmi-rails", "kernel_id": "90535090"}, {"ref": "nina2025/cmi-h-blend-enumerate-voting", "kernel_id": "90534429"}, {"ref": "nina2025/cmi-enumeration-voting-1", "kernel_id": "90170918"}, {"ref": "hzning/top12-solution-0-855-h-blend-optimal-search", "kernel_id": "90341790"}, {"ref": "dott1718/cmikn-ensemble3b-re5", "kernel_id": "91076433"}, {"ref": "rsakata/cmi3-6th-place-solution-partial", "kernel_id": "91146953"}, {"ref": "nazarov/ln-cmi-train", "kernel_id": "91814290"}, {"ref": "theoviel/cmi-team-inference-2", "kernel_id": "91081413"}, {"ref": "tobimichigan/notebook111db58ff6", "kernel_id": "91132229"}, {"ref": "kyakovlev/cmi-8th-place-postprocessing", "kernel_id": "91159488"}, {"ref": "w5833946/cmi3-submit-single", "kernel_id": "91143169"}, {"ref": "xaviertce/more-ensemple-0-08028-0-8725-imu-full", "kernel_id": "91059280"}, {"ref": "xaviertce/cmi-training-4-models", "kernel_id": "91174290"}, {"ref": "hideyukizushi/cmi25-bert-replication-singlepublb-847", "kernel_id": "91188597"}, {"ref": "yuanzhezhou/final-sub-cmi3", "kernel_id": "91741928"}, {"ref": "tatamikenn/top4-flip-detection-private-0-854", "kernel_id": "91350153"}, {"ref": "pira245/how-the-dataset-was-built", "kernel_id": "91027111"}, {"ref": "pira245/gru-model-gesture-multiclass-imu-temp-tof", "kernel_id": "91011988"}, {"ref": "pira245/how-to-load-a-dataset", "kernel_id": "91171661"}, {"ref": "kuzudewaifudes/cmi-final-handflip", "kernel_id": "91076633"}, {"ref": "wliilamsam/fork-of-fork-of-fork-of-4-model-ensemble-c2aea7", "kernel_id": "91046778"}, {"ref": "lcooper1972/cmi-baseline-feature-engineering-and-lightgbm", "kernel_id": "91046434"}, {"ref": "alihaiderahmad/top12-solution-0-855-esay-is-all-you-need", "kernel_id": "91106706"}, {"ref": "limitwolf/cmi-5fold-tf", "kernel_id": "91132093"}, {"ref": "chimaki821/visualization-for-19th-place-solution", "kernel_id": "91261742"}, {"ref": "anhthbiphc/4-multimodal-fusion-models-1", "kernel_id": "91487781"}, {"ref": "anhthbiphc/3-transformers-modern-time-series-models-1", "kernel_id": "91524845"}, {"ref": "anhthbiphc/6-graph-based-spatial-models", "kernel_id": "91532301"}, {"ref": "seoyunje/cmi-2025-what-is-important-in-spectrogram", "kernel_id": "91234709"}, {"ref": "seoyunje/cmi-2025-what-is-important-in-sequence-grad-cam", "kernel_id": "91141798"}, {"ref": "muhammaddanyalmalik/three-models-and-improvment", "kernel_id": "91083395"}, {"ref": "yake666/match01", "kernel_id": "91792961"}, {"ref": "maskish24/2branches-2heads-gesture-predictor", "kernel_id": "91093947"}, {"ref": "renjjie/pytorch-baseline-final", "kernel_id": "91295746"}, {"ref": "adnankust/5fold-single-model-imu", "kernel_id": "92788223"}, {"ref": "anhthbiphc/notebook-3-transformer", "kernel_id": "93713470"}, {"ref": "anhthbiphc/cmi-eda", "kernel_id": "93887774"}, {"ref": "lamhoangnguyen/notebook-6-hoanglam", "kernel_id": "93455867"}, {"ref": "lamhoangnguyen/notebook-4", "kernel_id": "93792596"}, {"ref": "anhthbiphc/notebook3-tcn", "kernel_id": "94319919"}, {"ref": "anhthbiphc/notebook-3-tcn", "kernel_id": "94083974"}, {"ref": "anhthbiphc/notebook-3-transformer-vanilla", "kernel_id": "94022806"}, {"ref": "anhthbiphc/notebook3-transformerencoder", "kernel_id": "94204152"}, {"ref": "quynhanh2004/1-baseline-classical-ml", "kernel_id": "94031514"}, {"ref": "lamhoangnguyen/notebook-6-lemm", "kernel_id": "94666165"}, {"ref": "anhthbiphc/notebook-5-ts2vec-lineareval", "kernel_id": "95686670"}, {"ref": "anhthbiphc/notebook-5-fusionattn-fine-tuned-imu", "kernel_id": "95733168"}, {"ref": "triet1208/lstm-imu-triet", "kernel_id": "95495752"}, {"ref": "triet1208/submit-lstm-triet", "kernel_id": "95557667"}, {"ref": "anhthbiphc/notebook-5-fusionattn-fine-tuned-all", "kernel_id": "96350705"}, {"ref": "anhthbiphc/notebook-5-ts2vec-imu", "kernel_id": "97495545"}, {"ref": "kagglesumith/team4", "kernel_id": "97409084"}, {"ref": "quynhanh2004/notebook-2-deep-learning-sequence-models", "kernel_id": "98779804"}, {"ref": "quynhanh2004/1-baseline-classical-ml-ver2", "kernel_id": "98562645"}, {"ref": "kagglesumith/team-4-2", "kernel_id": "98911854"}, {"ref": "vigneshthangabalanb/cmi-1", "kernel_id": "99046243"}, {"ref": "lamhoangnguyen/fork-of-notebook-6-hoanglam", "kernel_id": "101694262"}, {"ref": "anhthbiphc/notebook3-informerlite-3", "kernel_id": "102036059"}, {"ref": "tomragus/cmi-behavior-detection-model-1d-cnn-submission", "kernel_id": "103694235"}, {"ref": "ahnduc/ver-5-4-cmi-2025-1d-cnn-imu-only-baseline", "kernel_id": "103775804"}, {"ref": "ahnduc/ver-5-2-cmi-2025-1d-cnn-imu-only-baseline", "kernel_id": "103577845"}, {"ref": "joedyenz/multimode-tof", "kernel_id": "104788776"}, {"ref": "joedyenz/multimodule-imu-split", "kernel_id": "104546822"}, {"ref": "azsymbobby/cmi-2025-demo-submission", "kernel_id": "104774873"}, {"ref": "azsymbobby/notebook6f57988f1b", "kernel_id": "104541543"}, {"ref": "ahnc2171/cmi-nnn", "kernel_id": "104245520"}, {"ref": "s2561207478/nb-23402010", "kernel_id": "104537235"}, {"ref": "lijiaheng27/nb-nbu-t", "kernel_id": "104614285"}, {"ref": "joydeepc441/joydeep41", "kernel_id": "104837919"}, {"ref": "joedyenz/multimode-merged", "kernel_id": "105025094"}, {"ref": "armankarimi/rapid-prototyping-bfrb-detection-in-10-steps", "kernel_id": "106095459"}, {"ref": "brianjing/child-mind-institute-bfrb-gesture-detection", "kernel_id": "106463697"}, {"ref": "tanakit2521/notebooke2990d1f7c", "kernel_id": "106316963"}, {"ref": "willongwang/cmi-lstm", "kernel_id": "107356073"}, {"ref": "joydeepc441/inception", "kernel_id": "108546309"}, {"ref": "zahramollaey/cmi-detec-tbeh", "kernel_id": "110256414"}, {"ref": "equinox2003/cmi-single-model-with-train", "kernel_id": "114448354"}, {"ref": "pronooblol/notebookb91d80e9f8", "kernel_id": "119660733"}, {"ref": "kyuhwahong/cmi-notebook-khh", "kernel_id": "120654709"}, {"ref": "hamzanaobahar/notebook533029f493", "kernel_id": "121260825"}, {"ref": "mdferozahmedafm/cmi-detect-behavior-with-sensor-data", "kernel_id": "121212692"}, {"ref": "serdaronal/cmi-detect-behavior-with-sensor-data-randomfores", "kernel_id": "121031286"}, {"ref": "triet1208/submit-2nd-solution", "kernel_id": "124735316"}, {"ref": "willongwang/sensor-pulse-viz-eda-for-bfrb-detection1", "kernel_id": "130618649"}, {"ref": "harmainmughal11/cmitrain", "kernel_id": "131033726"}]}
{"competition_id": "102433", "kernels": [{"ref": "wuanwan/cnn-notebook", "kernel_id": "84405375"}, {"ref": "abhinavsharma0706/set-recodigits", "kernel_id": "85933509"}, {"ref": "mustafamertcolakk/cnn-recognizedigits", "kernel_id": "86722632"}, {"ref": "gallo33henrique/recognize-digits-cnn", "kernel_id": "104895853"}, {"ref": "aryankhanuja/digit-recognition-using-siglip", "kernel_id": "119129160"}, {"ref": "hamzahsaif/notebook67318f6638", "kernel_id": "134391792"}]}
{"competition_id": "102441", "kernels": [{"ref": "machiavelli81/advanced-track-starter-notebook", "kernel_id": "83129389"}, {"ref": "summerdixon/advanced-track-starter-notebook", "kernel_id": "83093102"}]}
{"competition_id": "102571", "kernels": []}
{"competition_id": "102594", "kernels": [{"ref": "mbslll/disease-detection-data-science-4th-ass", "kernel_id": "84003157"}, {"ref": "mahdighadamii/synthetic-clinical-data-classification", "kernel_id": "92656938"}]}
{"competition_id": "102599", "kernels": []}
{"competition_id": "102603", "kernels": [{"ref": "kayzhang34/predicting-credit-card-churn-random-forest", "kernel_id": "86813994"}, {"ref": "tayloriyamoon/credit-card-churn-smooth-ensemble", "kernel_id": "86820510"}]}
{"competition_id": "102626", "kernels": []}
{"competition_id": "102652", "kernels": [{"ref": "pradeeplachireddy/multilabelclassification-nlp", "kernel_id": "83864403"}]}
{"competition_id": "102657", "kernels": [{"ref": "cedricmanouan11/kinasr2025-data-modules-eda", "kernel_id": "84541066"}]}
{"competition_id": "102658", "kernels": []}
{"competition_id": "102660", "kernels": []}
{"competition_id": "102662", "kernels": [{"ref": "petermoorhouse/eda-face-recognition-dataset", "kernel_id": "83260861"}, {"ref": "petermoorhouse/face-recognition-minimal-keras-cnn", "kernel_id": "83271702"}]}
{"competition_id": "102663", "kernels": [{"ref": "ramanofthesky/this-is-trash", "kernel_id": "85594814"}]}
{"competition_id": "102666", "kernels": []}
{"competition_id": "102667", "kernels": []}
{"competition_id": "102761", "kernels": []}
{"competition_id": "102783", "kernels": [{"ref": "ambrosm/meg-baseline", "kernel_id": "84008997"}]}
{"competition_id": "102789", "kernels": []}
{"competition_id": "102792", "kernels": []}
{"competition_id": "102802", "kernels": []}
{"competition_id": "102824", "kernels": []}
{"competition_id": "102908", "kernels": [{"ref": "kakuteki/xgboost-bakery-sales-prediction-summer-2025", "kernel_id": "83374019"}, {"ref": "kakuteki/catboost-bakery-sales-prediction-summer-202", "kernel_id": "83374776"}, {"ref": "kakuteki/lightgbm-bakery-sales-prediction-summer-20", "kernel_id": "83375320"}, {"ref": "kakuteki/xgboost-k-fold-bakery-sales-prediction-summer-202", "kernel_id": "83420791"}, {"ref": "kakuteki/randomforest-bakery-sales-prediction-summer-2025", "kernel_id": "84093372"}, {"ref": "dmitryvasyasin/lightgbm-baseline", "kernel_id": "85962957"}, {"ref": "iliamazalov/timeseriessplit-cross-validation-for-sales-predict", "kernel_id": "89896223"}]}
{"competition_id": "102960", "kernels": []}
{"competition_id": "102972", "kernels": [{"ref": "michalinahulak/histograms-leave-the-company", "kernel_id": "83595526"}, {"ref": "michalinahulak/easy-starter-leave-the-company", "kernel_id": "83513713"}, {"ref": "michalinahulak/nn-easy-starter-leave-the-company", "kernel_id": "84006902"}]}
{"competition_id": "103017", "kernels": [{"ref": "swas06/smokerclassification-modelling", "kernel_id": "97143224"}, {"ref": "swas06/predictingaddiction-eda", "kernel_id": "97093583"}]}
{"competition_id": "103093", "kernels": []}
{"competition_id": "103103", "kernels": [{"ref": "verifyitisyou/alphadent-teeth-marking-starter-notebook", "kernel_id": "88169402"}, {"ref": "alialjayyar/alphadent-teeth-marking-starter-notebook", "kernel_id": "90735112"}, {"ref": "mustafaelkaranshawy/yolo-4classes", "kernel_id": "91484413"}, {"ref": "alialjayyar/yolo-4classes", "kernel_id": "91432829"}, {"ref": "alialjayyar/notebookfe09a5d08b", "kernel_id": "91319676"}, {"ref": "alialjayyar/notebook966c98b1a4", "kernel_id": "91402431"}, {"ref": "alialjayyar/notebookbf291beceb", "kernel_id": "91357135"}, {"ref": "kagglehyunter/alphadent-coco-eda", "kernel_id": "96904226"}, {"ref": "afifazainapurba/alphadent", "kernel_id": "102856482"}, {"ref": "berkutayasan/dental-segmentation-with-yolov11-seg", "kernel_id": "107031171"}, {"ref": "berkutayasan/dental-segmentation-using-sam-2-1-hiera-base", "kernel_id": "109836228"}, {"ref": "mmohsn/notebook17c156d3e7", "kernel_id": "110910208"}]}
{"competition_id": "103105", "kernels": []}
{"competition_id": "103106", "kernels": []}
{"competition_id": "103174", "kernels": [{"ref": "chrissvillegas/submission-1stversion", "kernel_id": "83627478"}, {"ref": "benjiag/proyecto-final-ml-benjam-n-arcos-entregable-infox", "kernel_id": "85996649"}]}
{"competition_id": "103206", "kernels": []}
{"competition_id": "103209", "kernels": []}
{"competition_id": "103267", "kernels": []}
{"competition_id": "103328", "kernels": [{"ref": "petermoorhouse/example-notebook-heads-or-tails", "kernel_id": "84518481"}, {"ref": "arjunrai1/heads-or-tails", "kernel_id": "84622898"}, {"ref": "rymatharouma/head-or-tail-competition", "kernel_id": "84830873"}, {"ref": "hemajitpatel/heads-or-tails-hem", "kernel_id": "84564669"}, {"ref": "viveksharma091/coin-toss-prediction", "kernel_id": "85983197"}, {"ref": "vaibhavkumarmahto/heads-or-tails", "kernel_id": "85096881"}, {"ref": "tobniislam/head-or-tails-classification", "kernel_id": "86500582"}, {"ref": "yogendrabs/heads-or-tails-image-classificaton", "kernel_id": "86525318"}, {"ref": "sevvalclalcebeciolu/coin-toss-image-classification-with-deep-learning", "kernel_id": "109294261"}]}
{"competition_id": "103355", "kernels": []}
{"competition_id": "103359", "kernels": []}
{"competition_id": "103374", "kernels": []}
{"competition_id": "103388", "kernels": []}
{"competition_id": "103413", "kernels": [{"ref": "kakuteki/baseline-responsi-komputasi-statistika-ii", "kernel_id": "84106000"}, {"ref": "kakuteki/resnet-responsi", "kernel_id": "84141065"}, {"ref": "sakhawathossen/fresh-vs-rotten-fruit-classification-image-based", "kernel_id": "84118344"}]}
{"competition_id": "103418", "kernels": []}
{"competition_id": "103419", "kernels": []}
{"competition_id": "103432", "kernels": [{"ref": "tayloriyamoon/cure-bench-outline", "kernel_id": "86805757"}, {"ref": "yerne39/qwen-3", "kernel_id": "88505085"}, {"ref": "abhinavsharma0706/bench-01", "kernel_id": "88192853"}, {"ref": "daltongabrielomondi/cure-bench-outline", "kernel_id": "90582252"}, {"ref": "kuntalmaity/cure-test", "kernel_id": "92659826"}, {"ref": "miadul/clinical-decision-benchmark-eda-modeling", "kernel_id": "93144444"}, {"ref": "hmnshudhmn24/cure-bench-competition", "kernel_id": "93775708"}, {"ref": "tygryskuyato/cure-bench-notebook", "kernel_id": "94463825"}, {"ref": "tobimichigan/curebench-agentic-toolkit", "kernel_id": "95473638"}, {"ref": "priyamsaha17/cure-bench-visualization-finding-word-length", "kernel_id": "95496616"}, {"ref": "bariarituratibhai/internal-model-reasoning-for-intelligent-treatment", "kernel_id": "95565976"}, {"ref": "bariarituratibhai/patient-treatment-analysis", "kernel_id": "95575122"}, {"ref": "bariarituratibhai/augmented-modal-reasoning", "kernel_id": "95701263"}, {"ref": "joannaciesielski/cure-bench-v1-track-2-enchanced-agentic-system", "kernel_id": "95195204"}]}
{"competition_id": "103436", "kernels": [{"ref": "trnquckhnh/lighgbm-seed-solvers-mssv-hovaten-score", "kernel_id": "83768761"}, {"ref": "anthiendinh/22520010-dinhthienan-06015", "kernel_id": "83839566"}, {"ref": "vngcanhthy/23521565-vongocanhthy-6087", "kernel_id": "84768359"}, {"ref": "hello518123/22521409-lecuongthinh-6250", "kernel_id": "85507721"}, {"ref": "baothydinh/23521563-dinhbaothy-6196", "kernel_id": "85195150"}, {"ref": "lamnmh05/23520834-nguyenmaihoanglam-6159", "kernel_id": "85097215"}, {"ref": "thythybui/23521562-buitranthythy", "kernel_id": "85109530"}, {"ref": "mintinnguyen/23521579-nguyenthiminhtien-6202", "kernel_id": "85107470"}, {"ref": "tishiu/22521142-tran-manh-phuc-5150", "kernel_id": "85200982"}, {"ref": "mymomsdatatset/23520262-nguyentiendat-0-6011", "kernel_id": "85542312"}, {"ref": "nakamurasolo/22521242-nguyenhuusang-6619", "kernel_id": "85341251"}, {"ref": "snbitrngthi/23521350-buitruongthaison-6366-ipynb", "kernel_id": "85344767"}, {"ref": "longunghong/lightgbm-23520892-unghoanglong-6407", "kernel_id": "85156559"}, {"ref": "nguyntrngkhi/23520782-nguyentrongkhoi-6299", "kernel_id": "85336574"}, {"ref": "anphmng/22520027-phamdangan-0-5016", "kernel_id": "85220095"}, {"ref": "thnvphi/22521323-vophithan-6119", "kernel_id": "85216279"}, {"ref": "hnvnthbo/23520439-vanthibaohan-6084", "kernel_id": "85180723"}, {"ref": "h26ng05/23520556-doannhathung-5716", "kernel_id": "85332289"}, {"ref": "thngdochi/23521431-phamquocthang-5783", "kernel_id": "85312958"}, {"ref": "xunhongh/23520516-haxuanhoang-6615", "kernel_id": "85310378"}, {"ref": "khimnghonggia/23520728-danghoanggiakhiem-5907", "kernel_id": "85016400"}, {"ref": "phuonganhtrannhat/23520078-trannhatphuonganh-6066", "kernel_id": "85497489"}, {"ref": "trmnguynvthy/23521617-nguyenvuthuytram-0-4939", "kernel_id": "85367333"}, {"ref": "dryiiii/23520781-nguyentrantuankhoi-6022", "kernel_id": "85661444"}, {"ref": "minhkhoai/lightgbm-23520767-leminhkhoi-0-6245", "kernel_id": "85443051"}, {"ref": "quoccuong05/23520196-huynhquoccuong-4112", "kernel_id": "85218755"}, {"ref": "frierend/23521041-luongdacnguyen-6422", "kernel_id": "85337372"}, {"ref": "huynhdat2010/24520270-huynhphatdat-6135", "kernel_id": "85402375"}, {"ref": "nhihhunhth/23521107-hohuynhthunhi-0-6151", "kernel_id": "85284552"}, {"ref": "htndng/23520327-hotandung-05811", "kernel_id": "85279698"}, {"ref": "kghangco/23520437-tranngochan-6560", "kernel_id": "85324336"}, {"ref": "hoantainson/22521250-hoangthanhson-6257", "kernel_id": "86190820"}]}
{"competition_id": "103440", "kernels": [{"ref": "marsheliafirdausiyah/classification", "kernel_id": "83820303"}]}
{"competition_id": "103442", "kernels": []}
{"competition_id": "103443", "kernels": []}
{"competition_id": "103451", "kernels": []}
{"competition_id": "103453", "kernels": []}
{"competition_id": "103466", "kernels": []}
{"competition_id": "103589", "kernels": []}
{"competition_id": "103791", "kernels": []}
{"competition_id": "104058", "kernels": [{"ref": "kislovka/lamoda", "kernel_id": "87048096"}, {"ref": "sergeivoitov/for-dd", "kernel_id": "87960418"}, {"ref": "alexeying/notebook209de98434", "kernel_id": "88245486"}]}
{"competition_id": "104130", "kernels": [{"ref": "danipipe777/fa-ii-2025-i-pronosticos-nn", "kernel_id": "84553974"}, {"ref": "camilogoma/los-camilos-pronosticos-nn-junio", "kernel_id": "85587181"}, {"ref": "julianomenarvaez97/aa-v-2026-i-pronosticos-nn-rnn-lstm-tcn", "kernel_id": "116334737"}]}
{"competition_id": "104170", "kernels": []}
{"competition_id": "104176", "kernels": []}
{"competition_id": "104178", "kernels": [{"ref": "kvinsdegila/baseline-notebook", "kernel_id": "84079606"}]}
{"competition_id": "104206", "kernels": [{"ref": "bukkasairohith02/socialsim-sairohith-bukka-kaggle-competition", "kernel_id": "85432142"}]}
{"competition_id": "104209", "kernels": []}
{"competition_id": "104212", "kernels": [{"ref": "fatmamuhsen/colstrol-prediction", "kernel_id": "85150630"}, {"ref": "tayloriyamoon/cholesterol-prediction", "kernel_id": "86812395"}]}
{"competition_id": "104214", "kernels": []}
{"competition_id": "104216", "kernels": []}
{"competition_id": "104218", "kernels": []}
{"competition_id": "104219", "kernels": []}
{"competition_id": "104307", "kernels": []}
{"competition_id": "104308", "kernels": [{"ref": "yuqianzheng/deep-xick-use-version10-for-no-internet-inference", "kernel_id": "85565907"}, {"ref": "hayujin/idea-lab-submission-code", "kernel_id": "85583207"}, {"ref": "wlgusqls/anthell-submission", "kernel_id": "85665252"}, {"ref": "leejekyung/submission-code", "kernel_id": "85611705"}, {"ref": "zzunilee/vsdd-submission", "kernel_id": "85580552"}, {"ref": "tkdgus0782/submission-code", "kernel_id": "85281392"}, {"ref": "kimchinong/notebook3ae1af99f8", "kernel_id": "85549922"}, {"ref": "junhjun/d-brain-final-submission-code", "kernel_id": "85268061"}, {"ref": "gapbu123/anthell-submission", "kernel_id": "86034575"}, {"ref": "kimchinong/kcc-deepfake-detection", "kernel_id": "86068976"}, {"ref": "anushka22gupta/cv-project", "kernel_id": "95659444"}]}
{"competition_id": "104336", "kernels": []}
{"competition_id": "104339", "kernels": [{"ref": "abhishekawasthi151/notebook152c977799", "kernel_id": "97336911"}, {"ref": "amalsp220/universal-transformer-esa-competition-solution", "kernel_id": "101550093"}, {"ref": "amalsp220/universal-transformer-message-detection-solution", "kernel_id": "101529713"}]}
{"competition_id": "104383", "kernels": [{"ref": "titericz/fast-rapids-solution", "kernel_id": "86823168"}, {"ref": "krabhijeet/map-sample-submission-basic-approach", "kernel_id": "86825778"}, {"ref": "seshurajup/math-misconception-eda-metric", "kernel_id": "86822417"}, {"ref": "seshurajup/lb-probing-all-we-need-120-counters-1-test-q", "kernel_id": "86900489"}, {"ref": "seshurajup/fork-improvements-with-1-train-question", "kernel_id": "86904724"}, {"ref": "seshurajup/map-category-eda", "kernel_id": "86916554"}, {"ref": "codingloading/0-868-fork-of-fork-logistic-optuna", "kernel_id": "86848741"}, {"ref": "codingloading/math-aware-tf-idf-thnks2-arnav", "kernel_id": "86927492"}, {"ref": "codingloading/deberta-with-2-extra-features-0-917", "kernel_id": "86967226"}, {"ref": "cdeotte/deberta-starter-cv-0-930", "kernel_id": "86957793"}, {"ref": "utm529fg/0-868-lr-lgbm", "kernel_id": "86847282"}, {"ref": "utm529fg/infer-meta-features-multi-level-text-analysis", "kernel_id": "86873682"}, {"ref": "utm529fg/train-meta-features-multi-level-text-analysis", "kernel_id": "86934066"}, {"ref": "jazivxt/stoicism-in-pure-mathematics", "kernel_id": "86902880"}, {"ref": "mpwolke/gemma-overcoming-math-misunderstandings", "kernel_id": "86835318"}, {"ref": "jaloeffe92/map-blending", "kernel_id": "86921977"}, {"ref": "wguesdon/llm-generated-sumary-of-competition-strategies", "kernel_id": "86977390"}, {"ref": "ttyn4519/0-869-i-try-xgboost", "kernel_id": "86852808"}, {"ref": "ttyn4519/0-911-update-xgboost", "kernel_id": "86939085"}, {"ref": "bibanh/debertasmall-map", "kernel_id": "86976897"}, {"ref": "bibanh/debertav3base-map", "kernel_id": "86975370"}, {"ref": "rajathrpai/0-859-simple-100-lines-of-code", "kernel_id": "86870482"}, {"ref": "rajathrpai/map-charting-preprocessing-and-features", "kernel_id": "86868288"}, {"ref": "rajathrpai/cv-0-9188-xgboost-kfold", "kernel_id": "86952992"}, {"ref": "kakuteki/charting-student-baseline", "kernel_id": "86848165"}, {"ref": "kakuteki/randomforest-charting-student", "kernel_id": "86882873"}, {"ref": "ravi20076/map2025-public-baseline-v1", "kernel_id": "86851098"}, {"ref": "ravi20076/map2025-references", "kernel_id": "86855630"}, {"ref": "ravi20076/map2025-public-imports-v1", "kernel_id": "86865674"}, {"ref": "ravi20076/map2025-public-baseline-v2", "kernel_id": "86911796"}, {"ref": "ravi20076/map2025-public-baseline-v3", "kernel_id": "86926926"}, {"ref": "valliansayoga/baseline-random-forest-classifier", "kernel_id": "86933400"}, {"ref": "indranilch2014/math-misunderstandings-submit-notebook1", "kernel_id": "86884630"}, {"ref": "abhinavsharma0706/map-01", "kernel_id": "86865738"}, {"ref": "michaelhiggins212/the-smallest-change-ever-all-credit-to-giba", "kernel_id": "86827592"}, {"ref": "debruppaul/notebook165934f791", "kernel_id": "86943201"}, {"ref": "purinutpolasanano/0-888-lr-lightgbm-rf-tf-idf-count-vectorizer", "kernel_id": "86858937"}, {"ref": "mazgas/baseline-map", "kernel_id": "86869539"}, {"ref": "abdmental01/map-xgb", "kernel_id": "86901011"}, {"ref": "abdmental01/fork-improvements", "kernel_id": "86834186"}, {"ref": "ayeshanusrat/ayesha", "kernel_id": "86880437"}, {"ref": "antonoof/s-v-a-g-a-svaga", "kernel_id": "86858601"}, {"ref": "koushikkumardinda/map-charting-student-math-misunderstandings", "kernel_id": "86861268"}, {"ref": "arnavsuiiiiiiiiiiii/maths-oh-no-lb-0-91-cv-0-91", "kernel_id": "86885918"}, {"ref": "kunalinfinite/deberta-starter-cv-0-930", "kernel_id": "86976847"}, {"ref": "samasiayushman/complete-full-visulaization-of-data", "kernel_id": "86858212"}, {"ref": "samasiayushman/complete-statistical-analysis", "kernel_id": "86858362"}, {"ref": "gauripatil2299/map-competition", "kernel_id": "86856289"}, {"ref": "erenata/map-csmm-advanced-xgboost", "kernel_id": "86984808"}, {"ref": "khai42/map-eda-visualization", "kernel_id": "86875698"}, {"ref": "shamimhasan8/map-charting-student-math-misunderstandings", "kernel_id": "86922509"}, {"ref": "abisheksrivastav/deberta-v3-base-label-engineering", "kernel_id": "87079336"}, {"ref": "codingloading/experiment-no-1", "kernel_id": "87017166"}, {"ref": "cdeotte/gemma2-9b-it-cv-0-945", "kernel_id": "87748657"}, {"ref": "cdeotte/modernbert-large-cv-0-938", "kernel_id": "87301073"}, {"ref": "cdeotte/ettin-encoder-1b-cv-0-943", "kernel_id": "87440840"}, {"ref": "jazivxt/the-art-of-ensemble-2", "kernel_id": "87961052"}, {"ref": "stpeteishii/math-misunderstanding-randomforest-deberta", "kernel_id": "87534868"}, {"ref": "stpeteishii/math-misunderstanding-torch-modernbert", "kernel_id": "87459609"}, {"ref": "stpeteishii/math-misunderstanding-randomforest", "kernel_id": "87511503"}, {"ref": "stpeteishii/math-misunderstanding-torch-deberta-inetoff", "kernel_id": "87390028"}, {"ref": "stpeteishii/math-misunderstanding-torch-mathbert-inetoff", "kernel_id": "87336692"}, {"ref": "stpeteishii/math-misunderstanding-torch-roberta-inetoff", "kernel_id": "87324765"}, {"ref": "stpeteishii/rule-violation-classification-with-text-similarity", "kernel_id": "87763552"}, {"ref": "dedquoc/mcs-math-misunderstandings-analytic", "kernel_id": "87116967"}, {"ref": "dipeshgupta/studentskaggle", "kernel_id": "87402583"}, {"ref": "sandhyaavasthi/map-math-misunderstanding", "kernel_id": "87843130"}, {"ref": "jaytonde/mbertmodel-01", "kernel_id": "87458799"}, {"ref": "jaytonde/mbertmodel-02", "kernel_id": "87470798"}, {"ref": "jaytonde/mbertmodel-01-02-submission", "kernel_id": "87519524"}, {"ref": "fernandosr85/matherror-ai-smart-detection-system", "kernel_id": "87189118"}, {"ref": "bibanh/roberta-base-map", "kernel_id": "87022217"}, {"ref": "bibanh/lb-0-944-the-art-of-ensemble", "kernel_id": "87941732"}, {"ref": "oussamasalhi/deberta-simple-code-v1-0-926", "kernel_id": "87484172"}, {"ref": "marianatmatos/nlp-tf-idf-lr", "kernel_id": "87299908"}, {"ref": "ueueue/some-considerations-fine-tuning-gemma2-2b-it", "kernel_id": "87747902"}, {"ref": "kouidhimarwen/map-dataset-discovery-notebook", "kernel_id": "87016330"}, {"ref": "kouidhimarwen/map-deberta-baseline", "kernel_id": "87140430"}, {"ref": "innocentmchechesi/ngwaruwaru-map-comp", "kernel_id": "87447439"}, {"ref": "rajathrpai/deberta-starter-lb-0-925-cv-0-930", "kernel_id": "87080010"}, {"ref": "maverickss26/map-charting-student-math-misunderstanding-v1", "kernel_id": "87470692"}, {"ref": "varundixit4/map-basic-data-checks", "kernel_id": "87963147"}, {"ref": "valliansayoga/xgboost-tfidf-ngram-8", "kernel_id": "87397814"}, {"ref": "valliansayoga/xgboost-v2-pub-lb-0-896", "kernel_id": "87024473"}, {"ref": "zshashz/deberta-v3-large-training", "kernel_id": "87552275"}, {"ref": "muhammadwaseem786/map-student-math-misunderstandings-eda-nlp-pi", "kernel_id": "87507386"}, {"ref": "appbrain/bertmodel-deberta-ft", "kernel_id": "87930521"}, {"ref": "chaimabalti/eda-undestanding-the-data", "kernel_id": "87418371"}, {"ref": "edacelikeloglu/entry-level-nlp-for-map-competition", "kernel_id": "87229841"}, {"ref": "kaneezfatima860021/map-misconception-prediction", "kernel_id": "87191045"}, {"ref": "kaneezfatima860021/map-misonception-competition", "kernel_id": "87301846"}, {"ref": "kaneezfatima860021/map-charting-misconception-handling", "kernel_id": "87943590"}, {"ref": "vinodkumargurjar/basic-nlp", "kernel_id": "87203544"}, {"ref": "fondrose/the-art-of-ensemble", "kernel_id": "87974273"}, {"ref": "stemosamaghandour/map-stem-student-math-misunderstandings", "kernel_id": "87803016"}, {"ref": "qamarmath/microsoft-deberta-v3-base-traning-cv-0-9213", "kernel_id": "87413199"}, {"ref": "qamarmath/fork-of-fork-of-map-misconception-inference-ettin", "kernel_id": "87510631"}, {"ref": "qamarmath/traning-ettin-encoder-400-cv-0-9428", "kernel_id": "87463208"}, {"ref": "ajaymoladiya/map-charting-student-math-misunderst", "kernel_id": "87046608"}, {"ref": "abdmental01/modern-bert-large-cv-0-936", "kernel_id": "87500055"}, {"ref": "mohammedhany123/map-competition", "kernel_id": "87569492"}, {"ref": "yutongzhang20080108/a-new-model-modernbert", "kernel_id": "87204301"}, {"ref": "melvinamedetadji/eda-map-charting-student-math", "kernel_id": "87999831"}, {"ref": "cartoonistbeard/misconception-inference-v2", "kernel_id": "87462347"}, {"ref": "aleaiest/lb-0-945-qwen2-5-32b-gptq", "kernel_id": "87448849"}, {"ref": "qifeihhh666/advanced-feature-cv-xgboost", "kernel_id": "87333402"}, {"ref": "llkh0a/simple-deberta", "kernel_id": "87231596"}, {"ref": "michaelharoon/modernbert-large-my-copy", "kernel_id": "87500364"}, {"ref": "erenata/map-csmm-gpu-ensemble-solution-0-9445-map-3", "kernel_id": "87009755"}, {"ref": "abrahamlomodanyame/understanding-math-guide", "kernel_id": "87555797"}, {"ref": "mdnaimislam165436/student-math-misunderstandings", "kernel_id": "87201147"}, {"ref": "mouradzenati/reading-the-data", "kernel_id": "87405216"}, {"ref": "khai42/map-xgboost-score-87-5", "kernel_id": "87771618"}, {"ref": "khai42/map-xgboost-score-88-82", "kernel_id": "87779903"}, {"ref": "reatsix3/models-stacking-evaluate", "kernel_id": "87123682"}, {"ref": "textbookstyle/deberta-base-cv-0-930", "kernel_id": "87063591"}, {"ref": "irfanrahaman/notebookb28fc075a1", "kernel_id": "87409555"}, {"ref": "cloudae/math-mc-bert", "kernel_id": "87625363"}, {"ref": "chandrimamanna/map-charting-student-math-misunderstandings", "kernel_id": "87870535"}, {"ref": "ronibaldaniya/notebookc36b7287c9", "kernel_id": "87440651"}, {"ref": "showpega/kondokoso", "kernel_id": "87984230"}, {"ref": "varshagumbarthi/ranking", "kernel_id": "87962044"}, {"ref": "varshagumbarthi/notebookdf49f8f552", "kernel_id": "87966158"}, {"ref": "chantelleweil/math-petals-misanderstanding", "kernel_id": "87328235"}, {"ref": "rickpack/gemma-3n-student-math-misunderstandings", "kernel_id": "88518009"}, {"ref": "ebraheem12/build-correctness-classifier", "kernel_id": "88677733"}, {"ref": "johnsonhk88/student-math-misunderstand-by-llm-training", "kernel_id": "88508712"}, {"ref": "jaytonde/deepseekmath-7b-lb-0-944", "kernel_id": "88811186"}, {"ref": "sriramanush123/student-math-misconception-data-analysis", "kernel_id": "88714327"}, {"ref": "complexsimple/math-misconceptions", "kernel_id": "88477099"}, {"ref": "jyotidabas/bert-solution", "kernel_id": "88712228"}, {"ref": "akshatgoyal03/map-charting-student-math-misconception", "kernel_id": "88096946"}, {"ref": "kaneezfatima860021/map-maths-misconception-ensemble", "kernel_id": "88668968"}, {"ref": "qamarmath/ann-baseline-math-misunderstanding-classification", "kernel_id": "88165076"}, {"ref": "mrsimple07/ensemble-approach", "kernel_id": "88579750"}, {"ref": "sia042/inference-smollm", "kernel_id": "88668852"}, {"ref": "sumanbera19/decode-the-math-misconception-with-88-map", "kernel_id": "88752049"}, {"ref": "habibajaved/map-3", "kernel_id": "88653853"}, {"ref": "habibajaved/competition", "kernel_id": "88355747"}, {"ref": "brocodenet/notbukawalmap", "kernel_id": "88889162"}, {"ref": "andreimargelatu/math-competition", "kernel_id": "88076956"}, {"ref": "mdferozahmedafm/charting-student-math-misunderstandings", "kernel_id": "88168553"}, {"ref": "umapravallika23/map-student-misconceptions", "kernel_id": "88342070"}, {"ref": "newwang12/notebook4a69a61858", "kernel_id": "88068830"}, {"ref": "rrpiyo/v1-baseline-deberta-v3-base", "kernel_id": "88118865"}, {"ref": "mengaidev/map-finetune-qwen", "kernel_id": "88480033"}, {"ref": "bridgeport/deberta-starter-submission-test", "kernel_id": "89323283"}, {"ref": "zhangyue199/baseline-fixed-submission", "kernel_id": "89995175"}, {"ref": "pk00095/map-math-misunderstandings-submission-v2", "kernel_id": "89728032"}, {"ref": "naoism/pacakge-torch-cu121", "kernel_id": "89645220"}, {"ref": "naoism/pacakge-map2025", "kernel_id": "89479511"}, {"ref": "naoism/qwen3-14b-bnb-nf4", "kernel_id": "89860438"}, {"ref": "jaytonde/mathstral-7b-by-mixtralai-lb-0-940", "kernel_id": "89081640"}, {"ref": "jaytonde/qwen-3-8b-lb-0-943", "kernel_id": "89144836"}, {"ref": "aniruddhapa/map-competition-lgbm-tfidf-baseline-cv0-6936", "kernel_id": "89542240"}, {"ref": "bibanh/lb-0-947-the-art-of-ensemble-v2", "kernel_id": "89066333"}, {"ref": "kyoumonemui/i-love-the-answer-quick-eda", "kernel_id": "89152648"}, {"ref": "whiteadmiral/map-nlp", "kernel_id": "89057455"}, {"ref": "vet231199/combining-nlp-and-mathematical-features", "kernel_id": "89490434"}, {"ref": "kaneezfatima860021/map-ensemble", "kernel_id": "89222384"}, {"ref": "fondrose/the-art-of-ensemble-v2", "kernel_id": "89101586"}, {"ref": "rejk11/one-pass-structured-output-with-gemma3-faiss", "kernel_id": "89562780"}, {"ref": "rejk11/gemma3-rag-with-constrained-sampling", "kernel_id": "89508389"}, {"ref": "mehedi457/unsloth-qwen2-5-math-1-5b-inference", "kernel_id": "89165414"}, {"ref": "mehedi457/unsloth-qwen2-5-math-1-5b-training", "kernel_id": "89110727"}, {"ref": "aryamanvaishya/map-math-misconceptions", "kernel_id": "89548197"}, {"ref": "pbhootra2005/qwen-3-8b-lb-0-943", "kernel_id": "89950591"}, {"ref": "muhammaddanyalmalik/ensemble-v2-proooo", "kernel_id": "89388800"}, {"ref": "adilshamim8/charting-student-math-misunderstandings", "kernel_id": "89631269"}, {"ref": "vaibhavbarala26/map-charting-student-math-fine-tuning-qwen", "kernel_id": "89939534"}, {"ref": "vaibhavbarala26/map-charting-student-math", "kernel_id": "89998209"}, {"ref": "tamtamduc/notebook576dcb24f2", "kernel_id": "89444272"}, {"ref": "tamtamduc/inference-qwen3", "kernel_id": "89850914"}, {"ref": "michaelharoon/gemma2-9b-it-cv-0-945", "kernel_id": "89183795"}, {"ref": "kyraku/deepseek-r1-qwen-1-5b-math-misconception", "kernel_id": "89542667"}, {"ref": "martinrajniak/hierarchical-pipeline-with-traditional-ml-models", "kernel_id": "89309487"}, {"ref": "jayanikgamage/student-misconception-prediction", "kernel_id": "89258533"}, {"ref": "kyrcovarick/map-misconceptions-baseline", "kernel_id": "89280210"}, {"ref": "aadhithya19942703/notebook-embedding-graph", "kernel_id": "89293796"}, {"ref": "michelleliangmengwei/correct-version", "kernel_id": "89151197"}, {"ref": "naoism/qwen25-14b-bnb-nf4", "kernel_id": "90043612"}, {"ref": "kmmmvs/gpt-oss-20b-using-llama-cpp", "kernel_id": "90336318"}, {"ref": "aniruddhapa/exp002-deberta-inference", "kernel_id": "90305140"}, {"ref": "aniruddhapa/exp002-deberta-baseline", "kernel_id": "90134999"}, {"ref": "rustambazarbayev/map2025-training-cv-0-87", "kernel_id": "90601308"}, {"ref": "utkarshtomar736/map-eda", "kernel_id": "90766756"}, {"ref": "utkarshtomar736/map-baseline-score", "kernel_id": "90848854"}, {"ref": "utkarshtomar736/map-small-iter", "kernel_id": "90992017"}, {"ref": "utkarshtomar736/map-xgboost", "kernel_id": "90995444"}, {"ref": "minglv/ultimate-ensemble-fusion", "kernel_id": "90326732"}, {"ref": "youssefabdallausa/map-cat-classifier", "kernel_id": "90354678"}, {"ref": "kaneezfatima860021/gemma-qwen-ensebmle", "kernel_id": "90410944"}, {"ref": "fondrose/lb-0-946-the-art-of-ensemble-v2", "kernel_id": "90380107"}, {"ref": "natashabrando/map-step-by-step-deberta-v3-train-infer", "kernel_id": "90035102"}, {"ref": "duccuongittn67/try123", "kernel_id": "90133413"}, {"ref": "monimavshi/inference-from-test-set", "kernel_id": "90447866"}, {"ref": "monimavshi/map-finetune-24", "kernel_id": "90327160"}, {"ref": "muhammaddanyalmalik/ensemble-v2-thankooo-liah", "kernel_id": "90593790"}, {"ref": "kodurd/lora-qwen", "kernel_id": "90587621"}, {"ref": "shayanjafariguts/map-math", "kernel_id": "90919913"}, {"ref": "gothamjocker/map-dataset-enhancement-with-ner", "kernel_id": "90685360"}, {"ref": "tamtamduc/try123", "kernel_id": "90316502"}, {"ref": "taiwoariyo/map-kaggle-challenge", "kernel_id": "90128424"}, {"ref": "jjsdfd22/ettin-encoder-400m-10-folds-lb-0-944", "kernel_id": "90035492"}, {"ref": "umapravallika23/map-student", "kernel_id": "90859315"}, {"ref": "mugishapacifique/map-charting-student-math-baseline-notebook", "kernel_id": "90713694"}, {"ref": "urvishp80/data-augs", "kernel_id": "91931824"}, {"ref": "naoism/gemma2-9b-bnb-nf4", "kernel_id": "91735526"}, {"ref": "yuanji1239/map-ensemble-weights-clean-code", "kernel_id": "91137692"}, {"ref": "sinchir0/map-eda", "kernel_id": "91009775"}, {"ref": "johnsonhk88/student-math-misunderstand-by-llm-inference", "kernel_id": "91751899"}, {"ref": "aniruddhapa/exp005-sbert-lgbm-training", "kernel_id": "91343140"}, {"ref": "chakrabhuanavdeva/gemma-3-1b-pt-map-fine-tuning", "kernel_id": "91850762"}, {"ref": "chakrabhuanavdeva/map-gemma-3-finetuned", "kernel_id": "91893250"}, {"ref": "kishanvavdara/map-deepseekmath-7b-it-tpu-train-bf16", "kernel_id": "91470382"}, {"ref": "kishanvavdara/deepseekmath-7b-inference", "kernel_id": "91501249"}, {"ref": "kishanvavdara/ensemble-gemma-qwen-deepseek", "kernel_id": "91301935"}, {"ref": "kaneezfatima860021/the-art-of-ensemble-gemma-qwen", "kernel_id": "91248673"}, {"ref": "daniyalatta/map-charting-student-math", "kernel_id": "91177094"}, {"ref": "iyuki23/ettin-1b-dual-head-last2", "kernel_id": "91787220"}, {"ref": "zzzlazy/turboensemble-mistral-7b-qwen3-8b-t4-weighted", "kernel_id": "91136243"}, {"ref": "shayanjafariguts/model-saving", "kernel_id": "91070503"}, {"ref": "divine5coder/flash-attn", "kernel_id": "91566926"}, {"ref": "divine5coder/bitsanbytes", "kernel_id": "91526880"}, {"ref": "gruubyhimself/ensemble-map-competition", "kernel_id": "91688606"}, {"ref": "adityakushwaha007/map-v-2", "kernel_id": "91504042"}, {"ref": "shifeicossyruan/student-math-misconception-data-analysis", "kernel_id": "91506694"}, {"ref": "kumararyan08/final-submission", "kernel_id": "91941554"}, {"ref": "manmohan123/training-and-inference-pipeline", "kernel_id": "92110595"}, {"ref": "vinitkp/modernbert-large-basic-change", "kernel_id": "92978148"}, {"ref": "sinchir0/lb-0-942-infer-fullft-qwen3-8b-by-sfttrainer", "kernel_id": "92204495"}, {"ref": "sinchir0/lb-0-942-train-fullft-qwen3-8b-by-sfttrainer", "kernel_id": "92204877"}, {"ref": "sinchir0/map-library-public", "kernel_id": "92038102"}, {"ref": "taikimori/map-vllm-all-in-one-inference-experiment", "kernel_id": "92267101"}, {"ref": "aniruddhapa/exp005-sbert-lgbm-inference", "kernel_id": "92377923"}, {"ref": "masa0take3/lb-0-937-deepseekr1-distill-llama-8b-training", "kernel_id": "92194971"}, {"ref": "masa0take3/lb-0-937-deepseekr1-distill-llama-8b-inference", "kernel_id": "92097917"}, {"ref": "hechtjp/map-csmm-simple-check-same-data-in-test-data", "kernel_id": "92684232"}, {"ref": "congyingma/single-ettin-encoder-1b-version1", "kernel_id": "92642329"}, {"ref": "dimansinghahirwar/map-deepseek-r1-lora", "kernel_id": "92925839"}, {"ref": "dimansinghahirwar/deepseek-r1-qlora-baseline", "kernel_id": "92135675"}, {"ref": "antonoof/qwen-fast-code-score-0-874", "kernel_id": "92249131"}, {"ref": "riverwon/ensemble", "kernel_id": "92907612"}, {"ref": "pankajiitr/ensemble-gemma-qwen-deepseek-resnet", "kernel_id": "92265917"}, {"ref": "melvinamedetadji/map-style-deberta", "kernel_id": "92302921"}, {"ref": "muhammaddanyalmalik/ensemble-of-models", "kernel_id": "92148676"}, {"ref": "zzzlazy/dsc-map-ensemble-weights-clean-code", "kernel_id": "92399071"}, {"ref": "krishnayadav456wrsty/tf-idf-baseline-for-math-misconception-detection", "kernel_id": "92168408"}, {"ref": "kongtilly/map-math-inference", "kernel_id": "92524406"}, {"ref": "wafaaalayoubi/full-eda-understanding-the-data", "kernel_id": "92341840"}, {"ref": "wafaaalayoubi/3-my-first-transformer-with-hugging-face", "kernel_id": "92349917"}, {"ref": "wafaaalayoubi/2-tf-idf-logistic-regression", "kernel_id": "92348544"}, {"ref": "wafaaalayoubi/4-creating-a-pre-tokenized-dataset", "kernel_id": "92353819"}, {"ref": "wafaaalayoubi/5a-deberta-0-8555", "kernel_id": "92358961"}, {"ref": "wafaaalayoubi/learning-from-cdeotte-modernbert-large-cv-0-93", "kernel_id": "92227395"}, {"ref": "ilyass323/llama3-1-8b-lb-0-941", "kernel_id": "92941778"}, {"ref": "sarbojeetbhowmick/map-studentmathmisundrstndg", "kernel_id": "92480982"}, {"ref": "jjsdfd22/hunyuan-7b-instruct-lb-0-945", "kernel_id": "92856209"}, {"ref": "jjsdfd22/qwen2-5-math-7b-instruct-lb-0-944", "kernel_id": "92860015"}, {"ref": "jjsdfd22/deepseek-prover-v2-7b-lb-0-944", "kernel_id": "92703122"}, {"ref": "masakiimai99/map-exp013", "kernel_id": "92204996"}, {"ref": "hyh273279/fork-of-fork-of-fork-of-fork-of-fork-of-ens-ffa23c", "kernel_id": "92312370"}, {"ref": "nana66/untitled23-1", "kernel_id": "92327453"}, {"ref": "dheerajkannaujiya/1-llm-math-solver", "kernel_id": "92217289"}, {"ref": "verracodeguacas/guarded-assembly-map-3", "kernel_id": "93435129"}, {"ref": "jiazhuang/map-qwen25-classify-infer2", "kernel_id": "93040514"}, {"ref": "mohamed3abdelrazik/hunyuan-7b-instruct-lb-0-945-34ab54", "kernel_id": "93923125"}, {"ref": "albertoalberto/mapstudentmisconceptionf0", "kernel_id": "93366633"}, {"ref": "tatamikenn/map-submit-qwen3-8b-merged", "kernel_id": "93920566"}, {"ref": "complexsimple/guarded-assembly-map-3", "kernel_id": "93746997"}, {"ref": "chakrabhuanavdeva/math-bert-1-0-k", "kernel_id": "93852820"}, {"ref": "orbenshitrit/map-new-ver-blend-1", "kernel_id": "93425636"}, {"ref": "maverickss26/map-charting-student-math-misunderstanding-v2", "kernel_id": "93232746"}, {"ref": "nadhirmazariboufares/math-understanding", "kernel_id": "93177214"}, {"ref": "lucario129/ensemble-v1", "kernel_id": "93519661"}, {"ref": "wamiottowang/qwen3-8b-wheel", "kernel_id": "93412414"}, {"ref": "theunforgiven7/deepseekr1-distill-qwen-7b-inference", "kernel_id": "93162576"}, {"ref": "yogeshbawankar/map-misconception-gemma-qwen-deepseek-ensemble", "kernel_id": "93931633"}, {"ref": "shubhamchauhan22222/qlora-qwen3-4b-thinking", "kernel_id": "93984021"}, {"ref": "francescoalbanesephd/curriculum-style-fine-tuning-process", "kernel_id": "93103761"}, {"ref": "chiranjeevimchiru/map-charting-rf-0-936", "kernel_id": "93925382"}, {"ref": "natashabrando/submission-deberta-large-ensemble", "kernel_id": "93420178"}, {"ref": "athons/map-qwen25-classify-infer2", "kernel_id": "93161518"}, {"ref": "xunden/lb0-948-new-ensemble-gemma-qwen-4b-deepseek", "kernel_id": "93801390"}, {"ref": "luciankucera/map-data-corruption", "kernel_id": "93092857"}, {"ref": "ahmedosmancad/map-models-download-4", "kernel_id": "93216065"}, {"ref": "ahmedosmancad/map-models-download-3", "kernel_id": "93215946"}, {"ref": "ahmedosmancad/map-models-download-2", "kernel_id": "93214835"}, {"ref": "ahmedosmancad/map-models-download-1", "kernel_id": "93121354"}, {"ref": "melvinamedetadji/map-soumission-optimis", "kernel_id": "93895118"}, {"ref": "samoilovmikhail/qwen2-5-math-crossencoder-full-baseline-notebook", "kernel_id": "93517507"}, {"ref": "kongtilly/map-math-inference-v2", "kernel_id": "93145222"}, {"ref": "aknithin/map-apex-data-master-v1", "kernel_id": "93820086"}, {"ref": "betmyex/map-deepseekmath-7b-it-tpu-train-bf16", "kernel_id": "93123490"}, {"ref": "betmyex/map-deepseekmath-7b-it-tpu-train-bf16-f6a018", "kernel_id": "93256950"}, {"ref": "betmyex/map-deepseekmath-7b-it-tpu-train-bf16-21790d", "kernel_id": "93275716"}, {"ref": "betmyex/fork-of-map-deepseekmath-7b-it-tpu-train-32eeee", "kernel_id": "93267956"}, {"ref": "betmyex/fork-of-map-deepseekmath-7b-it-tpu-train-bf16", "kernel_id": "93267546"}, {"ref": "betmyex/map-deepseekmath-7b-it-tpu-train-bf16-9208fe", "kernel_id": "93324160"}, {"ref": "betmyex/fork-of-map-deepseekmath-7b-it-tpu-train-21e431", "kernel_id": "93351813"}, {"ref": "betmyex/map-exp-09-submission", "kernel_id": "93741600"}, {"ref": "muhammadadelgabr/ensemble-hunyuan-deepseek-qwen3-gemma2", "kernel_id": "93942663"}, {"ref": "ilyass323/qwen3-4b-lb-0-945", "kernel_id": "93375455"}, {"ref": "zuckerchokaari/lora-inference-with-deepseek-math-7b-map-lb-0-935", "kernel_id": "93364009"}, {"ref": "zuckerchokaari/lora-fine-tuning-train-deepseekmat-7b-on-map", "kernel_id": "93361784"}, {"ref": "dheerajkannaujiya/2-llm-math-solving", "kernel_id": "93354318"}, {"ref": "cloudae/submission-of-2-berts", "kernel_id": "93606113"}, {"ref": "gauravbrills/qwen3-32b-awq-rag-basic-attempt", "kernel_id": "94867315"}, {"ref": "verracodeguacas/resnet-xgboost", "kernel_id": "94172323"}, {"ref": "verracodeguacas/resnet-xgboost-inference", "kernel_id": "94183125"}, {"ref": "yamashita/simple-check-train-csv", "kernel_id": "94119642"}, {"ref": "yamashita/gpu-imbalance-correct", "kernel_id": "94120614"}, {"ref": "yamashita/gpu-imbalance-handling-model-training", "kernel_id": "94102979"}, {"ref": "yamashita/gpu-standalone-imbalance-handling", "kernel_id": "94103468"}, {"ref": "yamashita/gpu-fixed-imbalance-handling", "kernel_id": "94103946"}, {"ref": "yamashita/gpu-imbalance-handling", "kernel_id": "94104391"}, {"ref": "yamashita/gpu-imbalance-final", "kernel_id": "94105098"}, {"ref": "yamashita/debug-data-paths", "kernel_id": "94106812"}, {"ref": "yamashita/check-specific-path", "kernel_id": "94107152"}, {"ref": "yamashita/map-class-weight-training", "kernel_id": "94133676"}, {"ref": "yamashita/map-focal-loss-training", "kernel_id": "94134083"}, {"ref": "yamashita/map-high-score-llm-training", "kernel_id": "94144349"}, {"ref": "yamashita/map-gemma-llm-training-v2", "kernel_id": "94145994"}, {"ref": "yamashita/map-gemma-standalone-training", "kernel_id": "94146209"}, {"ref": "yamashita/map-scikit-learn-training", "kernel_id": "94146417"}, {"ref": "urvishp80/ensemble-qwen3-qwen-2-5-gemma-deepseek", "kernel_id": "94949180"}, {"ref": "jiazhuang/qwen3-32b-gptq-infer", "kernel_id": "94704950"}, {"ref": "hossam82/ensemble-deekseek-hynyuan-qwen-ettin-gemma", "kernel_id": "94646034"}, {"ref": "hossam82/deepseek-math-trained-lora", "kernel_id": "94695544"}, {"ref": "bilokin/6-model-ensemble-solution-0-946-not-selected", "kernel_id": "94421124"}, {"ref": "wuwenmin/ensemble-public-all", "kernel_id": "94817090"}, {"ref": "mananjhaveri/map-6th-place-solution-qwen-semble-ftw", "kernel_id": "94447853"}, {"ref": "lokiwang/ensemble-4-models", "kernel_id": "94150671"}, {"ref": "chiranjeevimchiru/predicting-student-misco-xgboost", "kernel_id": "94233440"}, {"ref": "chiranjeevimchiru/predicting-student-misco-tf-idf-xgboost-0-9288", "kernel_id": "94088813"}, {"ref": "xiangjianwang/map-ensembled", "kernel_id": "94996084"}, {"ref": "safawahabi/map-ensemblage", "kernel_id": "94742643"}, {"ref": "pankajiitr/ensemble-deekseek-hynyuan-qwen-ettin-gemma", "kernel_id": "94307482"}, {"ref": "anupam2128/notebook63d6dd231c", "kernel_id": "94399760"}, {"ref": "vigneshthangabalanb/macro", "kernel_id": "94962242"}, {"ref": "assil22/student-math-misunderstandings", "kernel_id": "94972474"}, {"ref": "dheerajkannaujiya/training-math", "kernel_id": "94221193"}, {"ref": "dheerajkannaujiya/final-map-submission", "kernel_id": "94345133"}, {"ref": "cloudae/math-mc-gemma3-1b", "kernel_id": "94042005"}, {"ref": "cloudae/notebook06412a8c4e", "kernel_id": "94542616"}, {"ref": "tascj0/map-submit", "kernel_id": "95151954"}, {"ref": "naoism/map-en011-059-076-080-pub-vllm", "kernel_id": "95141205"}, {"ref": "cdeotte/single-model-cv-0-949-lb-0-949-wow", "kernel_id": "95259705"}, {"ref": "haseebkn/map-new", "kernel_id": "95104297"}, {"ref": "kmmmvs/ffffork-of-ensemble-hunyuan-deepseek-qwen3", "kernel_id": "95044050"}, {"ref": "sriramanush123/ensemble-submission", "kernel_id": "95057279"}, {"ref": "tatamikenn/i-o-performance-test-in-kaglle-kernel", "kernel_id": "95884401"}, {"ref": "neilus/map-9th-place-solution", "kernel_id": "95290401"}, {"ref": "yannan90/map-mh-recaller-clean", "kernel_id": "95829072"}, {"ref": "yunsuxiaozi/qwen2-5-math-7b-whl", "kernel_id": "95267769"}, {"ref": "zhengliwen/map-final-clean", "kernel_id": "95898302"}, {"ref": "ilyass323/ensembling-3model", "kernel_id": "95203448"}, {"ref": "davidlozanoguzman/malentendidos-de-los-estudiantes-en-matem-ticas", "kernel_id": "95274994"}, {"ref": "nguyendungta/deberta-v3-base", "kernel_id": "95206539"}, {"ref": "nguyendungta/ensemble", "kernel_id": "95889372"}, {"ref": "aaronneeeee/vbd-curriculum-style-fine-tuning-process", "kernel_id": "95227110"}, {"ref": "pingfan/map-results-final", "kernel_id": "96908278"}, {"ref": "yunsuxiaozi/deepseek-r1-distill-qwen-7b-model", "kernel_id": "96871999"}, {"ref": "anaaron/vbd-v2-curriculum-style-fine-tuning-process", "kernel_id": "96281311"}, {"ref": "fyenneyenn/pr0-941-best-small-model-qwen3-4b-reranker", "kernel_id": "97396771"}, {"ref": "yunsuxiaozi/map-modernbert-large-train", "kernel_id": "97360182"}, {"ref": "yunsuxiaozi/map-modernbert-large-download", "kernel_id": "97358010"}, {"ref": "yunsuxiaozi/map-ettin-encoder-1b-download", "kernel_id": "97363421"}, {"ref": "yunsuxiaozi/map-qwen-0-5b-download", "kernel_id": "97374965"}, {"ref": "kmmmvs/gpt-oss-20b-using-llama-cpp-benford-s-law-lb-1-0", "kernel_id": "98080936"}, {"ref": "yunsuxiaozi/map-ettin-encoder-1b-train", "kernel_id": "98386060"}, {"ref": "yunsuxiaozi/map-ettin-encoder-400m-download", "kernel_id": "98449503"}, {"ref": "moneebmushtaq/student-math-understanding-classification", "kernel_id": "99637065"}, {"ref": "hotcat190/map-submit", "kernel_id": "99574213"}, {"ref": "isakatsuyoshi/umap-of-map-data", "kernel_id": "103920074"}, {"ref": "oyakaragoez/5foldcrossvalidation", "kernel_id": "103379852"}, {"ref": "anhnguyen0812/map-submit", "kernel_id": "103391119"}, {"ref": "anhnguyenphi/map-submit", "kernel_id": "103391292"}, {"ref": "anhnguyenphi/deberta-starter-map", "kernel_id": "103479872"}, {"ref": "longhonglkim/map2-phi4-14b", "kernel_id": "104386640"}, {"ref": "hotcat190/map-ensemble", "kernel_id": "104285167"}, {"ref": "anhnguyenphi/5-kfold-map", "kernel_id": "104361278"}, {"ref": "tomerzalberg/deberta-misconception", "kernel_id": "104087474"}, {"ref": "tomerzalberg/notebookbf7629e5c3", "kernel_id": "104084431"}, {"ref": "saiyanwarrior/train-v1-charting-student-math-misunderstand", "kernel_id": "106193907"}, {"ref": "saiyanwarrior/eda-charting-student-math-misunderstandings", "kernel_id": "106069383"}, {"ref": "saiyanwarrior/infer-charting-student-math-misunderstandings", "kernel_id": "106147817"}, {"ref": "saiyanwarrior/train-charting-student-math-misunderstandings", "kernel_id": "106141000"}, {"ref": "saiyanwarrior/data-prep-charting-student-math-misunderstandings", "kernel_id": "106087378"}, {"ref": "saiyanwarrior/qwen2-5-math-1-5b-instruct-model", "kernel_id": "106362110"}, {"ref": "saiyanwarrior/infer-v1-charting-student-math-misunderstandings", "kernel_id": "106371386"}, {"ref": "yunsuxiaozi/map-ettin-encoder-400m-train", "kernel_id": "106028989"}, {"ref": "yunsuxiaozi/map-qwen0-5b-train", "kernel_id": "106029049"}, {"ref": "cchangyyy/ensemble-gemma-qwen-deepseek-e91a72", "kernel_id": "106028476"}, {"ref": "medhashree1707/10049-medha-shree-map-training-v1", "kernel_id": "106472803"}, {"ref": "medhashree1707/10049-medha-shree-map-inference-v1", "kernel_id": "106474143"}, {"ref": "noorainsyeda/23bcs10221-syedanoorain-inference-map", "kernel_id": "106473825"}, {"ref": "noorainsyeda/23bcs10221-syedanoorain-training-map", "kernel_id": "106472841"}, {"ref": "uditkumarnayak/23bcs10159-udit-inference-llm-map-charting-student", "kernel_id": "106474375"}, {"ref": "uditkumarnayak/23bcs10159-udit-training-llm-map-charting-student", "kernel_id": "106473184"}, {"ref": "uditkumarnayak/data-prep-charting-student-math-udit", "kernel_id": "106471407"}, {"ref": "ajaisharan/train-ajai-sharan-23bcs10154-csmm", "kernel_id": "106470988"}, {"ref": "surajguduru/eda-student-math-misunderstandings-suraj-guduru", "kernel_id": "106469048"}, {"ref": "surajguduru/infer-student-math-misunderstandings-suraj", "kernel_id": "106471545"}, {"ref": "surajguduru/train-student-math-misunderstandings-suraj", "kernel_id": "106471001"}, {"ref": "tomerzalberg/deberta-misconception-data73k", "kernel_id": "106096162"}, {"ref": "tomerzalberg/deberta-category-data73k", "kernel_id": "106095153"}, {"ref": "abhishek13may/data-prep-charting-student-math-misunderstandings", "kernel_id": "107926442"}, {"ref": "abhishek13may/train-v1-charting-student-math-misunderstand", "kernel_id": "107926508"}, {"ref": "abhishek13may/infer-v1-charting-student-math-misunderstandings", "kernel_id": "107926519"}, {"ref": "spoorthymadasu/infer-spoorthy-madasu-10144", "kernel_id": "107782539"}, {"ref": "spoorthymadasu/train-spoorthy-madasu-10144-csmm", "kernel_id": "107775904"}, {"ref": "spoorthymadasu/data-prep-spoorthy-madasu-10144-csmm", "kernel_id": "107774749"}, {"ref": "mlayank/10069-mayank-gupta-map-training", "kernel_id": "107828995"}, {"ref": "mlayank/10069-mayank-gupta-map-inference", "kernel_id": "107829004"}, {"ref": "venkateshalampally/10095-venkatesh-train-v1-charting-student-math", "kernel_id": "107253125"}, {"ref": "venkateshalampally/venkatesh-10095-qwen2-5-math-1-5b-instruct-model", "kernel_id": "107253021"}, {"ref": "venkateshalampally/10095-venkatesh-infer-v1-charting-student-math", "kernel_id": "107261572"}, {"ref": "itsharshitgoel/10149-harshitgoel-infer-v1-csmm", "kernel_id": "107893111"}, {"ref": "itsharshitgoel/train-v1-charting-student-math-misunderstand", "kernel_id": "107892833"}, {"ref": "itsharshitgoel/infer-csmm-harshitgoel10149", "kernel_id": "107892365"}, {"ref": "itsharshitgoel/data-prep-harshit10149", "kernel_id": "107887780"}, {"ref": "itsharshitgoel/train-charting-student-math-misunderstandings", "kernel_id": "107887971"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-data-prep-map", "kernel_id": "107824031"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-train-map", "kernel_id": "107824355"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-train-v1-map", "kernel_id": "107824549"}, {"ref": "kkartikayy7224/10129-kumar-kartikay-infer-v1-map", "kernel_id": "107861933"}, {"ref": "ajaisharan/infer-ajai-sharan-10154-csmm", "kernel_id": "107308191"}, {"ref": "ajaisharan/train-v1-ajai-sharan-10154-csmm", "kernel_id": "107308195"}, {"ref": "ajaisharan/infer-v1-ajai-sharan-23bcs10154-csmm", "kernel_id": "107308200"}, {"ref": "ajaisharan/data-prep-ajai-sharan-10154-csmm", "kernel_id": "107308242"}, {"ref": "adi0311/10007-aditya-inference-map", "kernel_id": "107772627"}, {"ref": "tomerzalberg/category-fold-2", "kernel_id": "107025607"}, {"ref": "tomerzalberg/category-fold-1", "kernel_id": "107025174"}, {"ref": "tomerzalberg/category-fold-4", "kernel_id": "107026007"}, {"ref": "tomerzalberg/category-fold-3", "kernel_id": "107025804"}, {"ref": "tomerzalberg/deberta-pipeline-data73k-base", "kernel_id": "107060167"}, {"ref": "arthurw1935/23bcs10038-inference-v1", "kernel_id": "108712531"}, {"ref": "arthurw1935/23bcs10038-training-v1", "kernel_id": "108710936"}, {"ref": "kushagrakushagras/10165-train", "kernel_id": "108775811"}, {"ref": "kushagrakushagras/10165-inference", "kernel_id": "108776337"}, {"ref": "konstantinboyko/map-deepseekmath-7b-it-tpu-train-bf16-870ee6", "kernel_id": "108983114"}, {"ref": "konstantinboyko/map-deepseekmath-7b-it-tpu-train-bf16", "kernel_id": "108981117"}, {"ref": "vinayakpaka/10118-vinayak-paka-data-prep", "kernel_id": "108772175"}, {"ref": "vinayakpaka/10118-vinayak-paka-train", "kernel_id": "108772309"}, {"ref": "vinayakpaka/10118-vinayak-paka-infer", "kernel_id": "108775315"}, {"ref": "hemkeshkantawala/qwen2-5-math-1-5b-instruct-model", "kernel_id": "108447400"}, {"ref": "hemkeshkantawala/hemkesh-10040-map-training-v1", "kernel_id": "108447178"}, {"ref": "hemkeshkantawala/hemkesh-10040-map-inference", "kernel_id": "108446385"}, {"ref": "hemkeshkantawala/hemkesh-10040-map-inference-v2", "kernel_id": "108455184"}, {"ref": "hemkeshkantawala/hemkesh-10040-map-eda", "kernel_id": "108443738"}, {"ref": "hemkeshkantawala/hemkesh-10040-map-training", "kernel_id": "108444515"}, {"ref": "hemkeshkantawala/hemkesh-10040-map-data-processing", "kernel_id": "108444177"}, {"ref": "demonsheriff/10217-anant-shukla-training-large-model", "kernel_id": "108782352"}, {"ref": "demonsheriff/anant-shukla-10217-inference-notebook", "kernel_id": "108783871"}, {"ref": "manjarir/train-v1-10192-manjarirathore", "kernel_id": "108771725"}, {"ref": "manjarir/infer-v1-10192-manjarirathore", "kernel_id": "108772495"}, {"ref": "manan21st/10206-manan-map-training", "kernel_id": "108772526"}, {"ref": "manan21st/10206-manan-map-inference", "kernel_id": "108779250"}, {"ref": "sidj09/10103-siddhamjain-train-v1-map", "kernel_id": "108698790"}, {"ref": "sidj09/10103-siddhamjain-dataprep", "kernel_id": "108699173"}, {"ref": "sidj09/10103-siddhamjain-infer-v1-map", "kernel_id": "108738576"}, {"ref": "ayaankhan2812/10029-ayaankhan-training-map", "kernel_id": "108780782"}, {"ref": "ayaankhan2812/10029-ayaankhan-inference-map", "kernel_id": "108781174"}, {"ref": "dakshkanaujia/10089-dakshkanaujia-trainingmap", "kernel_id": "108388703"}, {"ref": "dakshkanaujia/10089-dakshkanaujia-infermap", "kernel_id": "108616521"}, {"ref": "suryanshshakya/infer-v1-charting-student-math-misunderstandings", "kernel_id": "108767865"}, {"ref": "suryanshshakya/train-v1-charting-student-math-misunderstand", "kernel_id": "108767668"}, {"ref": "kauxp26/data-prep-map-10189-paramjeet", "kernel_id": "108711105"}, {"ref": "kauxp26/23bcs10189-paramjeet-training-map", "kernel_id": "108738340"}, {"ref": "kauxp26/23bcs10189-paramjeet-inference-map", "kernel_id": "108714058"}, {"ref": "riyabhurse/23bcs10187-riya-bhurse-infer", "kernel_id": "108708364"}, {"ref": "riyabhurse/23bcs10187-riya-bhurse-train", "kernel_id": "108706870"}, {"ref": "riyabhurse/data-prep-charting-student-math-misunderstandings", "kernel_id": "108706951"}, {"ref": "riyabhurse/infer-v1-charting-student-math-misunderst-11de5a", "kernel_id": "108784959"}, {"ref": "amanyadav207/1005amanyadav-train-v1-charting-student-math", "kernel_id": "108750267"}, {"ref": "amanyadav207/10055-amanyadav-infer-v1-charting-student-math-00", "kernel_id": "108758610"}, {"ref": "siddharthbaleja/10161-siddharth-baleja-training", "kernel_id": "108764633"}, {"ref": "siddharthbaleja/10161-siddharth-baleja-inference", "kernel_id": "108771337"}, {"ref": "mayankvashishtt/10177-mayan-infer-charting-math-misunderstandings", "kernel_id": "108785287"}, {"ref": "swarnim114/23bcs10139-swarnim-training", "kernel_id": "108737443"}, {"ref": "swarnim114/23bcs10139-swarnim-preprocessing", "kernel_id": "108738099"}, {"ref": "swarnim114/23bcs10139-swarnim-inference", "kernel_id": "108740468"}, {"ref": "barrybyte/23bcs10181-abhayraj-training-map", "kernel_id": "108772049"}, {"ref": "barrybyte/23bcs10181-abhayraj-inference-map", "kernel_id": "108780227"}, {"ref": "abhinav2696/10047-abhinav-nagar-preprocessing", "kernel_id": "108782116"}, {"ref": "abhinav2696/10047-abhinav-nagar-training", "kernel_id": "108782477"}, {"ref": "abhinav2696/10047-abhinav-nagar-inference", "kernel_id": "108782829"}, {"ref": "thetallinnov8r/10121-yash-agarwal-inference-charting-student", "kernel_id": "108753734"}, {"ref": "thetallinnov8r/10121-yash-agarwal-training-charting-student", "kernel_id": "108735836"}, {"ref": "ddevmhrn/infer-v1-charting-student-debashis-10209", "kernel_id": "108782693"}, {"ref": "ddevmhrn/10209-debashis-charting-student", "kernel_id": "108782446"}, {"ref": "dar4devil/10170-aarya-largemodel-inference-map", "kernel_id": "108459642"}, {"ref": "dar4devil/10170-aarya-smallmodel-training-map", "kernel_id": "108443720"}, {"ref": "dar4devil/10170-aarya-datapreparation-map", "kernel_id": "108439215"}, {"ref": "dar4devil/10170-aarya-largemodel-training-map", "kernel_id": "108452984"}, {"ref": "dar4devil/10170-aarya-smallmodel-inference-map", "kernel_id": "108445587"}, {"ref": "prathmeshbhardwaj/10025-prathmesh-bhardwaj-inference-map", "kernel_id": "108761987"}, {"ref": "prathmeshbhardwaj/infer-10025-prathmesh-bhardwaj", "kernel_id": "108754343"}, {"ref": "prathmeshbhardwaj/10025-prathmesh-bhardwaj-training-map", "kernel_id": "108754962"}, {"ref": "prathmeshbhardwaj/data-prep-10025-prathmesh-bhardwaj", "kernel_id": "108753763"}, {"ref": "prathmeshbhardwaj/train-10025-prathmesh-bhardwaj", "kernel_id": "108753882"}, {"ref": "vatsal3064/vatsal-omar-data-prep", "kernel_id": "108778791"}, {"ref": "vatsal3064/10101-vatsalomar-train-map", "kernel_id": "108779017"}, {"ref": "vatsal3064/10101-vatsal-omar-infer-map", "kernel_id": "108781103"}, {"ref": "godharsh/10066-harsh-kumar-inference-map", "kernel_id": "108754139"}, {"ref": "godharsh/10066-harsh-kumar-training-map", "kernel_id": "108746994"}, {"ref": "godharsh/infer-10066-harsh-kumar", "kernel_id": "108745694"}, {"ref": "godharsh/train-10066-harsh-kumar", "kernel_id": "108745144"}, {"ref": "godharsh/data-prep-10066-harsh-kumar", "kernel_id": "108744940"}, {"ref": "spoorthymadasu/train-v1-spoorthy-madasu-10144", "kernel_id": "108295242"}, {"ref": "spoorthymadasu/infer-v1-spoorthy-madasu-10144-csmm", "kernel_id": "108299742"}, {"ref": "ashwinsaklecha/10212-ashwinsaklecha-train-map", "kernel_id": "108760948"}, {"ref": "ashwinsaklecha/10212-ashwinsaklecha-inference-map", "kernel_id": "108771362"}, {"ref": "purvanshsahu/10169-purvansh-sahu-infer-csmm", "kernel_id": "108706587"}, {"ref": "purvanshsahu/10169-purvansh-sahu-train-csmm", "kernel_id": "108694987"}, {"ref": "yashrajml/10102-yashraj-inference-charting-student", "kernel_id": "108753422"}, {"ref": "yashrajml/10102-yashraj-training-charting-student", "kernel_id": "108742081"}, {"ref": "kshirsagararjun/train-v1-23bcs10157-arjun-kshirsagar-training", "kernel_id": "108767262"}, {"ref": "kshirsagararjun/infer-v1-23bcs10157-arjun-kshirsagar-inference", "kernel_id": "108767298"}, {"ref": "nobitan0bi/10019-priyanshu-training", "kernel_id": "108782843"}, {"ref": "nobitan0bi/10019-priyanshu-map-inference", "kernel_id": "108785399"}, {"ref": "ishita1406/10188-ishita-training-math", "kernel_id": "108710692"}, {"ref": "ishita1406/10188-ishita-inference-math", "kernel_id": "108736491"}, {"ref": "sarthakpandeyhere/23bcs10179-sarthak-train-v1-charting-student-math", "kernel_id": "108330351"}, {"ref": "irisiri23/10166-suswetha-train-math", "kernel_id": "108764493"}, {"ref": "irisiri23/10166-suswetha-infer-math", "kernel_id": "108780518"}, {"ref": "shrimaysomani/map-inference-v1-shrimay-10117", "kernel_id": "108702276"}, {"ref": "shrimaysomani/map-training-v1-shrimay-10117", "kernel_id": "108691380"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-infer", "kernel_id": "108780842"}, {"ref": "ajaisharan/23bcs10154-ajai-sharan-velmurugan-train", "kernel_id": "108773915"}, {"ref": "deysandip301/23bcs10114-sandip-dey-inference-map", "kernel_id": "108456856"}, {"ref": "deysandip301/23bcs10114-sandip-dey-dataprep-map", "kernel_id": "108455965"}, {"ref": "deysandip301/23bcs10114-sandip-dey-training-map", "kernel_id": "108455661"}, {"ref": "omwaghchavare/10142-omwaghchavar-inference", "kernel_id": "108769742"}, {"ref": "omwaghchavare/10142-omwaghchavare-preprocessing", "kernel_id": "108767016"}, {"ref": "omwaghchavare/10142-omwaghchavare-training", "kernel_id": "108767515"}, {"ref": "nareshkumarth/10006-naresh-kumar-t-infer", "kernel_id": "108761923"}, {"ref": "nareshkumarth/10006-naresh-kumar-t-train", "kernel_id": "108754489"}, {"ref": "nareshkumarth/data-prep-10006-naresh-t", "kernel_id": "108754247"}, {"ref": "harshsinghania04/10171-harshvardhansinghania-training-map", "kernel_id": "108767103"}, {"ref": "harshsinghania04/10171-harshvardhansinghania-inference-map", "kernel_id": "108776406"}, {"ref": "svgharsh983/10098-harshkumar-inferences", "kernel_id": "108782601"}, {"ref": "svgharsh983/10098-harshkumar-training", "kernel_id": "108781284"}, {"ref": "devharshkumar77/10116-harshkumar-infer", "kernel_id": "108783823"}, {"ref": "devharshkumar77/10116-harshkumar-train", "kernel_id": "108783797"}, {"ref": "sachannharshit/10134-harshit-sachan-inference-charting-student", "kernel_id": "108774579"}, {"ref": "sachannharshit/10134-harshit-sachan-training-charting-student", "kernel_id": "108754111"}, {"ref": "satyamydv9/10198-satyamyadav-inference-map", "kernel_id": "108767639"}, {"ref": "satyamydv9/10198-satyamyadav-training-map", "kernel_id": "108761234"}, {"ref": "thehero29/23bcs10059-loukik-thatte-training-map", "kernel_id": "108611348"}, {"ref": "thehero29/23bcs10059-loukik-thatte-inference-map", "kernel_id": "108663765"}, {"ref": "diptihatwar/dipti-10033-inference-v1-map", "kernel_id": "108683354"}, {"ref": "diptihatwar/dipti-10033-map-training-v1", "kernel_id": "108682480"}, {"ref": "aatmikpanse/10082-aatmik-training-map", "kernel_id": "108771376"}, {"ref": "aatmikpanse/10082-aatmik-inference-map", "kernel_id": "108776531"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-infer-csmm", "kernel_id": "108703657"}, {"ref": "rushhaabhhhh/10197-rushabh-mistry-train-csmm", "kernel_id": "108684594"}, {"ref": "neeldholiya/neel-10022-map-inference-v1", "kernel_id": "108666344"}, {"ref": "neeldholiya/neel-10022-map-training-v1", "kernel_id": "108451567"}, {"ref": "kartikdeshpande2810/10141kartik-train-v1", "kernel_id": "108770284"}, {"ref": "kartikdeshpande2810/infer-v1-charting-student-math-misunderstandings", "kernel_id": "108779865"}, {"ref": "suryanshai/10167-suryansh-dubey-training-map", "kernel_id": "108780392"}, {"ref": "suryanshai/10167-suryansh-dubey-inference-map", "kernel_id": "108780396"}, {"ref": "divpandey/10085-div-train-student-math-misunderstandings", "kernel_id": "108748669"}, {"ref": "divpandey/10085-div-infer-student-math-misunderstandings", "kernel_id": "108750924"}, {"ref": "utkershbasnet/10105-utkersh-basnet-inference-charting", "kernel_id": "108415011"}, {"ref": "utkershbasnet/10105-utkershbasnet-training-charting", "kernel_id": "108388704"}, {"ref": "zkk555/10020-sushant-inference", "kernel_id": "108763675"}, {"ref": "zkk555/10020-sushant-training", "kernel_id": "108763481"}, {"ref": "mahakjuriani/train-10008-mahakjuriani", "kernel_id": "108673571"}, {"ref": "mahakjuriani/data-prep-10008-mahakjuriani", "kernel_id": "108673233"}, {"ref": "mahakjuriani/infer-10008-mahakjuriani", "kernel_id": "108684498"}, {"ref": "surajguduru/charting-10012-suraj-inference", "kernel_id": "108753506"}, {"ref": "surajguduru/charting-10012-suraj-training", "kernel_id": "108752944"}, {"ref": "tamix18/10133-tamanna-train-math", "kernel_id": "108680741"}, {"ref": "tamix18/10133-tamanna-inference-math", "kernel_id": "108784801"}, {"ref": "naitikjain921/23bcs10214-naitikjain-training-map", "kernel_id": "108783730"}, {"ref": "naitikjain921/23bcs10214-naitikjain-inference-map", "kernel_id": "108783738"}, {"ref": "aayushkhopade/10050-ayushashokkhopade-inference-map", "kernel_id": "108787928"}, {"ref": "aayushkhopade/10050-aayush-khopade-train-map", "kernel_id": "108780040"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-train-csmm", "kernel_id": "108685003"}, {"ref": "aannaannyaaa/10195-ananya-srivastava-infer-csmm", "kernel_id": "108705701"}, {"ref": "sanjanaynvsdl/1000-sanjana-inference-csm", "kernel_id": "108771831"}, {"ref": "sanjanaynvsdl/sanjana-10009-data-prep", "kernel_id": "108766312"}, {"ref": "sanjanaynvsdl/10009-sanjana-training-csm", "kernel_id": "108766417"}, {"ref": "adityasinghrajput45/23bcs10148-aditya-preprocessing", "kernel_id": "108766567"}, {"ref": "adityasinghrajput45/23bcs10148-aditya-training", "kernel_id": "108766881"}, {"ref": "adityasinghrajput45/2023bcs10148-aditya-inference", "kernel_id": "108767625"}, {"ref": "shreshthaaa/shreshtha-10093-map-training-v1", "kernel_id": "108687956"}, {"ref": "shreshthaaa/shreshtha-10093-map-inference", "kernel_id": "108680826"}, {"ref": "shreshthaaa/shreshtha-10093-map-inference-v1", "kernel_id": "108712737"}, {"ref": "atharvsanjayjain/10113-atharvsanjayjain-training-math", "kernel_id": "108778716"}, {"ref": "atharvsanjayjain/23bcs10113-atharvsanjayjain-inference-math", "kernel_id": "108785316"}, {"ref": "jiyasinghal20/10043-jiyasinghal-inference-map", "kernel_id": "108782991"}, {"ref": "jiyasinghal20/10043-jiyasinghal-training-map", "kernel_id": "108771042"}, {"ref": "dpk9465/train-10092-deepak", "kernel_id": "108770329"}, {"ref": "dpk9465/10092-deepak-infer", "kernel_id": "108771345"}, {"ref": "vijaygauravkummetha/10003-vijay-inference", "kernel_id": "108765840"}, {"ref": "vijaygauravkummetha/10003-vijay-training", "kernel_id": "108765631"}, {"ref": "harsh3446/10021-harshkumar-training-charting-student", "kernel_id": "108781783"}, {"ref": "harsh3446/10021-harshkumar-inference-charting-student", "kernel_id": "108781719"}, {"ref": "ayushkesharwani2605/ayush-23bcs10112-infer-csmm", "kernel_id": "108785502"}, {"ref": "ayushkesharwani2605/ayush-23bcs10112-train-csmm", "kernel_id": "108777079"}, {"ref": "kushivaradaraj27/10035-kushi-inference-map", "kernel_id": "108786614"}, {"ref": "kushivaradaraj27/10035-kushi-training", "kernel_id": "108772530"}, {"ref": "yunsuxiaozi/deepseek-r1-distill-qwen7b-train-v2-0-89858", "kernel_id": "109000954"}, {"ref": "harshpancha1/10087-harsh-train-charting-student-math-mis", "kernel_id": "109270757"}, {"ref": "harshpancha1/10087-harsh-infer-charting-student-math-mis", "kernel_id": "109269792"}, {"ref": "jeffreypikeai/map-gemma-3-4b-on-tpu", "kernel_id": "116590802"}, {"ref": "xinglinlai/interpretable-classifier-map-math", "kernel_id": "116657209"}, {"ref": "xinglinlai/lstm-benchmark-map-math", "kernel_id": "116720070"}, {"ref": "changjustin/map000", "kernel_id": "119680811"}, {"ref": "jessica1229/notebooka53ec98a06", "kernel_id": "119780179"}, {"ref": "amoshkujur/map-studentmathmisundestandingproblemsol", "kernel_id": "119224273"}]}
{"competition_id": "104392", "kernels": []}
{"competition_id": "104397", "kernels": [{"ref": "sup41kkk/yolov8x", "kernel_id": "86923195"}, {"ref": "sup41kkk/convnext-version", "kernel_id": "87274959"}, {"ref": "alla222/ml-1-ipynb", "kernel_id": "88023523"}, {"ref": "ulyanakorolyova/notebooka5181f95b5ecb02f9f5b", "kernel_id": "88439527"}, {"ref": "ulyanakorolyova/notebook3dd9230e2d", "kernel_id": "88446783"}, {"ref": "vitaliybelkin/notebookbelkinve", "kernel_id": "88554525"}, {"ref": "vitaliybelkin/notebookbelkinvetmp", "kernel_id": "88600708"}, {"ref": "ffabious/seagulls-1", "kernel_id": "129579501"}]}
{"competition_id": "104481", "kernels": []}
{"competition_id": "104489", "kernels": []}
{"competition_id": "104498", "kernels": [{"ref": "romaneyvazov/defining-the-topic-of-news-nlp-bert-word2vec", "kernel_id": "118881498"}]}
{"competition_id": "104550", "kernels": [{"ref": "skywolfmo/aethercnn", "kernel_id": "84541562"}, {"ref": "skywolfmo/mlnomads-downscaling-laws-cifar10", "kernel_id": "84480174"}, {"ref": "skywolfmo/simclr-with-nnx", "kernel_id": "86048266"}, {"ref": "skywolfmo/yatcnn-autoencoder-nnx", "kernel_id": "86162191"}, {"ref": "skywolfmo/cnn-autoencoder-nnx", "kernel_id": "86143179"}, {"ref": "batuhanyllmaz/notebook3248cea66b", "kernel_id": "87270338"}]}
{"competition_id": "104560", "kernels": [{"ref": "skywolfmo/aethercnn", "kernel_id": "84541562"}]}
{"competition_id": "104567", "kernels": [{"ref": "go5kuramubon/joai2025-tutorial-playground", "kernel_id": "84495505"}, {"ref": "kami634/playground-joai-2025-tutorial-image", "kernel_id": "84502757"}, {"ref": "kami634/playground-joai-2025-eda-notebook", "kernel_id": "84502273"}, {"ref": "adrienthomas/notebook26831b2848", "kernel_id": "101341069"}, {"ref": "arkatkhasanov/joai-multimodal-baseline", "kernel_id": "108736576"}]}
{"competition_id": "104572", "kernels": [{"ref": "skywolfmo/aethercnn", "kernel_id": "84541562"}]}
{"competition_id": "104573", "kernels": [{"ref": "skywolfmo/aethercnn", "kernel_id": "84541562"}]}
{"competition_id": "104579", "kernels": []}
{"competition_id": "104587", "kernels": []}
{"competition_id": "104650", "kernels": [{"ref": "ismaelgt/notebook-start", "kernel_id": "85805519"}]}
{"competition_id": "104682", "kernels": [{"ref": "romanahmed2024/mae-competencia-regresi-n-202513-v1", "kernel_id": "86753894"}]}
{"competition_id": "104683", "kernels": []}
{"competition_id": "104726", "kernels": []}
{"competition_id": "104781", "kernels": [{"ref": "antonoof/yolo-fast-code", "kernel_id": "84842382"}, {"ref": "mohanapavanbezawada/yolo-e2e-multi-instance-detection", "kernel_id": "84675886"}, {"ref": "sacuscreed/soup-cans-inference", "kernel_id": "85882399"}, {"ref": "abhinavsharma0706/instance-yolo", "kernel_id": "85721366"}, {"ref": "abhinavsharma0706/third-instance", "kernel_id": "85727786"}, {"ref": "abhinavsharma0706/yolo-instance", "kernel_id": "85726446"}, {"ref": "younesbenalia/multi-instance-od-yolo-baseline", "kernel_id": "85563659"}, {"ref": "younesbenalia/multiscale-yolo-tta-weighted-boxes-fusion", "kernel_id": "85572548"}, {"ref": "govind1305/notebook26f1314ca8", "kernel_id": "85478445"}, {"ref": "shemskurtoglu/inference-multi-instance-object-detection", "kernel_id": "86857128"}, {"ref": "manas13/cans-detection-using-yolo-model", "kernel_id": "86336120"}, {"ref": "sacuscreed/soup-can-yolov8s-16-960-4", "kernel_id": "86453004"}, {"ref": "sacuscreed/soup-can-yolov8s-16-960-2-3", "kernel_id": "86431205"}, {"ref": "sacuscreed/soup-can-yolov8s-16-960-0-1", "kernel_id": "86430723"}, {"ref": "thelastsmilodon/blend-of-top-2-more-data", "kernel_id": "86911594"}, {"ref": "awadmali/multi-instance-object-detection-v1", "kernel_id": "86303952"}, {"ref": "habijabii/1st-place-solution", "kernel_id": "86912817"}, {"ref": "younesbenalia/soup-can-detection-6th-place-solution", "kernel_id": "87141088"}, {"ref": "nithinkommireddy/multi-instance-object-detection-challenge", "kernel_id": "114482072"}, {"ref": "nithinkommireddy/multi-instance-object-detection-challenge-433f37", "kernel_id": "114485680"}, {"ref": "nithinkommireddy/multi-instance-object-detection-challenge-a6a51c", "kernel_id": "114567806"}, {"ref": "sarvagnabattula/notebook29238dd20c", "kernel_id": "114825853"}, {"ref": "sarvagnasudulagunta/multi-instance-object-detection-challenge-sarvagna", "kernel_id": "114852944"}, {"ref": "leonavalluri/multiclass-leona", "kernel_id": "114736990"}, {"ref": "tharshitha26/notebookfb25e64b52", "kernel_id": "114692161"}, {"ref": "ssmeghana/notebookf778e87d2f", "kernel_id": "114565282"}, {"ref": "ssmeghana/notebook2bba1a2a2c", "kernel_id": "114440525"}, {"ref": "ssmeghana/notebookd4d42c7517", "kernel_id": "114440723"}, {"ref": "ssmeghana/notebook0fad8a3742", "kernel_id": "114440382"}, {"ref": "ssmeghana/notebooke24f0692d2", "kernel_id": "114438658"}, {"ref": "monikamandavilli/notebook3506018453", "kernel_id": "114570865"}, {"ref": "ujwalamavireddy/multi-instance-final-ujwala", "kernel_id": "114764455"}, {"ref": "kvrbhaskar/notebookc4d9683076", "kernel_id": "114991175"}, {"ref": "gmounikaa/fix-submission-py", "kernel_id": "114439384"}, {"ref": "ajitpatra31/multi-instance-object-detection-challenge", "kernel_id": "114448678"}, {"ref": "ajitpatra31/multi-instance-object-detection-challenge-2", "kernel_id": "114462032"}, {"ref": "vemulapallisaiganesh/multi-instance-final", "kernel_id": "115234642"}, {"ref": "ssmeghana/notebookf527219b28", "kernel_id": "115003068"}, {"ref": "shilpesh238/notebook692d595374", "kernel_id": "115153866"}, {"ref": "meghanabatchu123/multi-instance-object-detection-bhavya", "kernel_id": "115194280"}, {"ref": "hilwanaakumalla/notebook7e22419568", "kernel_id": "115155054"}, {"ref": "deekshithanalabothu/object-detection-1", "kernel_id": "115224192"}]}
{"competition_id": "104796", "kernels": []}
{"competition_id": "104803", "kernels": [{"ref": "mbslll/ds-pset5", "kernel_id": "84807591"}, {"ref": "matthewseaber/work-experience-project", "kernel_id": "86699434"}]}
{"competition_id": "104830", "kernels": [{"ref": "mohammad2012191/starter-efficientnetv2small-cv-89-lb-78", "kernel_id": "84866522"}, {"ref": "husnashamlik/eid-al-adha-2025", "kernel_id": "84962837"}, {"ref": "mitamjeen/goat-sheep", "kernel_id": "84859540"}, {"ref": "jawadkc66/vit-cv-87-lb-90", "kernel_id": "84933983"}, {"ref": "jawadkc66/the-only-eda-you-need", "kernel_id": "84838912"}, {"ref": "abhishekameta47/sheep-classification", "kernel_id": "84956352"}, {"ref": "hafidgarhoum/sheep-breed-classification-challenge-notebookv1", "kernel_id": "84925827"}, {"ref": "krabhijeet/keras-sheep-image-classification", "kernel_id": "85092684"}, {"ref": "zarahshibli/sheep-breed-classification-convformer", "kernel_id": "85627659"}, {"ref": "ksouriazer/solution-code-2nd-place-public-lb", "kernel_id": "85630840"}, {"ref": "affanazhar/eiduladha-competition", "kernel_id": "85299361"}, {"ref": "mohammad2012191/public-lb-0-976-mohamed-part", "kernel_id": "85630002"}, {"ref": "kayaba/mobilenetv2-arabian-goat-recognizer", "kernel_id": "85344668"}, {"ref": "kayaba/eid-sheep-goat-predictor-convnext", "kernel_id": "85356522"}, {"ref": "boushra/classification-sheep-in-eid-2025-using-inceptionv", "kernel_id": "85456671"}, {"ref": "hamzabinbutt/state-of-art-pytorch", "kernel_id": "85397248"}, {"ref": "five6667/score-0-92", "kernel_id": "85261798"}, {"ref": "ahvshim/fix-the-data-first-then-worry-about-the-model", "kernel_id": "85078974"}, {"ref": "dostonur/eid-al-adha-2025-sheep-classification-competition", "kernel_id": "85506569"}, {"ref": "tiafaljuaid/sheep-classification-efficientnetv2-s-f1-96", "kernel_id": "85451232"}, {"ref": "munibj/vit-sheeeeep-classification", "kernel_id": "85033343"}, {"ref": "hanif535/eid-al-adha-2025-sheep-classification-challenge", "kernel_id": "85104066"}, {"ref": "mattspotify2023/sheep-classification-which-is-the-tastiest", "kernel_id": "85461930"}, {"ref": "pratyushojha12/eid-nb", "kernel_id": "85043149"}, {"ref": "mitamjeen/sheepy-sheep", "kernel_id": "85086105"}, {"ref": "younusmohamed/63-01-multi-model-sheep-identifiction", "kernel_id": "85447978"}, {"ref": "rashimishra19/sheepnet-classifying-arabian-sheep-breeds", "kernel_id": "85168119"}, {"ref": "thameralharbi/convnextv2-large", "kernel_id": "85563919"}, {"ref": "amjedalqasemi/98-public-lb-dinov2-mixup-rmbg", "kernel_id": "85528347"}, {"ref": "alhanoufalqahtani/sheepsclassification-convnext", "kernel_id": "85831003"}, {"ref": "afnanm20/v-num-6dal", "kernel_id": "85535800"}, {"ref": "abood49311/ideas-for-improvement", "kernel_id": "85847893"}, {"ref": "fadelhassan/do-you-know-what-you-re-working-with", "kernel_id": "85015285"}, {"ref": "fadelhassan/2nd-place-public-lb-0-97-private-0-98", "kernel_id": "85559621"}, {"ref": "davidebrunori/sheep-classifier-gradcam-v1-0-96", "kernel_id": "85198325"}, {"ref": "torrentbrave/eid-al-adha-2025-vit-convnext-pipline", "kernel_id": "85446633"}, {"ref": "icebearogo/convnext-for-sheep-classification-score-0-8825", "kernel_id": "85151554"}, {"ref": "fahadalaumodi/ourcodeinmlproject", "kernel_id": "85270809"}, {"ref": "shaun4761/sheep-classification-using-convnext-model", "kernel_id": "85417283"}, {"ref": "shaun4761/sheep-classification-using-resnet", "kernel_id": "85864772"}, {"ref": "saraai23/sheep-classification", "kernel_id": "85252007"}, {"ref": "halaturkialotaibi/sheep-breed-classifier-using-convnext-and-pytorch", "kernel_id": "85185702"}, {"ref": "abdulkareemomer/sheep-classification-challange", "kernel_id": "85840095"}, {"ref": "faizandataanalyst/sheep-classification", "kernel_id": "85569211"}, {"ref": "layanemran/data-team1", "kernel_id": "85232350"}, {"ref": "alaaelshaer22/sheep-classification", "kernel_id": "88474224"}, {"ref": "meshalfalah/sheep-classification-challenge-2025", "kernel_id": "96294106"}, {"ref": "youssef019/sheep-classification-challenge-2025", "kernel_id": "107722160"}]}
{"competition_id": "104843", "kernels": [{"ref": "thanhlamdev/fds-wine-classify-2025", "kernel_id": "84978568"}]}
{"competition_id": "104854", "kernels": [{"ref": "litvinka/baseline-solution", "kernel_id": "84760602"}, {"ref": "piskunov91/alfa-train-monday", "kernel_id": "86152447"}, {"ref": "joulin/alfa-summer-contest-top-1-solution", "kernel_id": "86604458"}, {"ref": "samvelkoch/alfa-tabm-baseline", "kernel_id": "86393225"}, {"ref": "samvelkoch/alfa-simple-heuristics-solution", "kernel_id": "86429712"}, {"ref": "samvelkoch/alfa-features-kitchen", "kernel_id": "86347211"}, {"ref": "nslobodchuk/alfa-summer-challenge-lstm-solution", "kernel_id": "87008816"}]}
{"competition_id": "104857", "kernels": [{"ref": "kaushalsahu123/burnout-motogp", "kernel_id": "85078544"}, {"ref": "chandansahhh/chandansahhh", "kernel_id": "85091986"}, {"ref": "adityamazumdar95/motogp-datathon-final", "kernel_id": "85082005"}, {"ref": "aaryasingh14/ad-motogp-datathon", "kernel_id": "85079169"}, {"ref": "hammerlord/competition", "kernel_id": "85082261"}, {"ref": "capdiv/burnout-nimbus-best-solution", "kernel_id": "85109566"}, {"ref": "capdiv/burnout-autogluon", "kernel_id": "85081385"}, {"ref": "capdiv/burnout-getting-best-key", "kernel_id": "85080776"}, {"ref": "capdiv/burnout1-basic-modelling", "kernel_id": "85079922"}, {"ref": "abuharish/datathon-v3", "kernel_id": "85088339"}, {"ref": "marinaru/burnout-2025-syntax-errror", "kernel_id": "85087417"}, {"ref": "kartik3pandey/aryan-motogp", "kernel_id": "85107988"}, {"ref": "realaduop/final-work", "kernel_id": "85112918"}, {"ref": "arnavsuiiiiiiiiiiii/burnout-final", "kernel_id": "85099280"}, {"ref": "thequizchat/motogp-datathon-lap-time-prediction", "kernel_id": "85099179"}, {"ref": "tanishqshinde775/data-dashers", "kernel_id": "85095653"}, {"ref": "eshaansaha/maverhack", "kernel_id": "85079255"}, {"ref": "meettashakapur/game-changers", "kernel_id": "85078462"}, {"ref": "atreyeedas2004/mynotebook-ipynb", "kernel_id": "85110102"}, {"ref": "ishi13/notebookd1998b51a7", "kernel_id": "85107777"}, {"ref": "viraj24092005/rossi", "kernel_id": "85109086"}, {"ref": "adityanikam04/moto-gp-notebook", "kernel_id": "85112262"}, {"ref": "aoinowaltz20/cooked", "kernel_id": "85110421"}, {"ref": "hema466/codecrackers", "kernel_id": "85112800"}, {"ref": "kavyarambhia/notebook4bc783fcd0", "kernel_id": "85078526"}, {"ref": "kunal3143/notebooktest", "kernel_id": "85095945"}, {"ref": "sanidhyavijay24/opps-motogp", "kernel_id": "85078409"}, {"ref": "nithyashaga/burnout-motogp-2025", "kernel_id": "85082086"}, {"ref": "rsrikrishnamurthy/rskmn-motogp", "kernel_id": "85105995"}, {"ref": "iamdivv/notebook2", "kernel_id": "85095896"}, {"ref": "manmadhan/duo-not", "kernel_id": "85113278"}, {"ref": "aryanrastogi17/aryan-motogp", "kernel_id": "85079527"}, {"ref": "yashagarwal6/notebook6fd79a30791", "kernel_id": "85113077"}, {"ref": "dharunteja/burnout-2025-prediction", "kernel_id": "85079002"}, {"ref": "adityarajawat19/notebook5156eb9976", "kernel_id": "85113779"}, {"ref": "kushajsethi/notebook215584dd07", "kernel_id": "85109027"}, {"ref": "kanikav10/1ststep", "kernel_id": "85081318"}, {"ref": "aryamanvij16/notebookc070b74495", "kernel_id": "85110063"}, {"ref": "axshtt/burnout", "kernel_id": "85079203"}, {"ref": "asleshaxa/codedivas", "kernel_id": "85080572"}]}
{"competition_id": "104927", "kernels": []}
{"competition_id": "104937", "kernels": [{"ref": "highflyingbird/interrogation-contextualis-e", "kernel_id": "86275466"}, {"ref": "highflyingbird/interrogation-na-ve", "kernel_id": "86197567"}, {"ref": "luckyrasahatarisoa/notebook8586ebcd9d", "kernel_id": "100449708"}]}
{"competition_id": "105046", "kernels": [{"ref": "kyuretmn/week-2-1-sample-code", "kernel_id": "63087318"}, {"ref": "wanglichi/sample-code", "kernel_id": "84956404"}]}
{"competition_id": "105067", "kernels": []}
{"competition_id": "105068", "kernels": []}
{"competition_id": "105141", "kernels": [{"ref": "sasacademics/sas-viya-for-learners-starter", "kernel_id": "84941736"}]}
{"competition_id": "105151", "kernels": [{"ref": "junma921/example", "kernel_id": "84962864"}]}
{"competition_id": "105161", "kernels": [{"ref": "ywfhhh/enzymes-example", "kernel_id": "84972175"}]}
{"competition_id": "105164", "kernels": []}
{"competition_id": "105168", "kernels": []}
{"competition_id": "105172", "kernels": [{"ref": "ywfhhh/pubmed-example", "kernel_id": "84974968"}, {"ref": "ywfhhh/proteins-example", "kernel_id": "84973432"}]}
{"competition_id": "105173", "kernels": [{"ref": "ywfhhh/pubmed-example", "kernel_id": "84974968"}]}
{"competition_id": "105181", "kernels": [{"ref": "brucewayne0v0/notebook7e4d5c0b3c", "kernel_id": "92410027"}, {"ref": "eddiexueyi/whyis", "kernel_id": "100923337"}, {"ref": "whyisshizai/whyis", "kernel_id": "100736143"}, {"ref": "whyisshizai/async-difyarxiv", "kernel_id": "100469974"}, {"ref": "malaak/extract-clean-pdf", "kernel_id": "102881638"}, {"ref": "sevvalclalcebeciolu/wattbot-rag-system", "kernel_id": "109398890"}, {"ref": "anhdnghng/rag-b", "kernel_id": "130599136"}]}
{"competition_id": "105228", "kernels": []}
{"competition_id": "105229", "kernels": []}
{"competition_id": "105244", "kernels": [{"ref": "ywfhhh/traffic-prediction-example", "kernel_id": "85036699"}]}
{"competition_id": "105267", "kernels": [{"ref": "paultimothymooney/how-to-use-gemma-3n-on-kaggle", "kernel_id": "85907059"}, {"ref": "codingloading/can-gemma-3n-understand-memes", "kernel_id": "85927322"}, {"ref": "mpwolke/gemma-3n-me-conf-sed-and-sh-med", "kernel_id": "85907557"}, {"ref": "dedquoc/google-the-gemma-3n-with-some-ideas", "kernel_id": "85927111"}, {"ref": "fernandosr85/inclusiveedu-neurodivergent-ai-adaptation", "kernel_id": "85917976"}, {"ref": "abhinavdogra002/ai-medvision-advanced-medical-imaging-analysis", "kernel_id": "85928802"}, {"ref": "abhinavdogra002/ecovision-ai-democratizing-environmental", "kernel_id": "85924908"}, {"ref": "adilshamim8/gemma-3n-impact-challenge", "kernel_id": "85950224"}, {"ref": "brianwalshe/gemma-3n-performance", "kernel_id": "86416348"}, {"ref": "jamesmcguigan/gemma-3n-it-was-a-dark-and-stormy-night", "kernel_id": "86237012"}, {"ref": "danielhanchen/gemma-3n-4b-multimodal-finetuning-inference", "kernel_id": "86279270"}, {"ref": "arashnic/gemma3n-customersupport-qa-uns-loth-trl-4bitquant", "kernel_id": "86809827"}, {"ref": "gpreda/testing-gemma-3n-like-a-pro", "kernel_id": "86343788"}, {"ref": "moghazy/gemma3n-the-easy-way-langchain-ollama", "kernel_id": "86124620"}, {"ref": "spacedoge/gemma-3n-vision-test", "kernel_id": "86333461"}, {"ref": "rizdelhi/fine-tune-gemma-3n-for-summarisation", "kernel_id": "86559369"}, {"ref": "rohitdileep/langchain-gemma3n-rag", "kernel_id": "86330551"}, {"ref": "rohitdileep/langgraph-rag-historyaware-chatbot", "kernel_id": "86615939"}, {"ref": "beomjoonpark/hurricane-ai-offline-hurricane-assistant", "kernel_id": "86640371"}, {"ref": "yifeilin0226/gemma-3n-offline-setup-for-dependencies", "kernel_id": "86143072"}, {"ref": "mayakaripel/fieldscribe-interactive-demo1", "kernel_id": "86339796"}, {"ref": "mayakaripel/fieldscribe-interactive-demo", "kernel_id": "86908687"}, {"ref": "vasusoni/gemma-3n-give-me-my-meme", "kernel_id": "86158158"}, {"ref": "aravindrajendran97/ultimate-gemma3n-guide-inference-fine-tuning", "kernel_id": "86924239"}, {"ref": "minervasdatalab/gemma3norangutanconservation-kaggle", "kernel_id": "86098923"}, {"ref": "anotherbadcode/immersive-travel-assistant", "kernel_id": "86979028"}, {"ref": "jofeds/multimodal-finetuning-wellness", "kernel_id": "86724344"}, {"ref": "abhinavsharma0706/greenmind-ai", "kernel_id": "86111013"}, {"ref": "raidedcluster/signwriting-gemma", "kernel_id": "86259257"}, {"ref": "vinodkumargurjar/educast-ai-tutor-using-gemma-3n-multimodal", "kernel_id": "86543090"}, {"ref": "huishan01/5-days-gen-ai-capstone-project", "kernel_id": "86434437"}, {"ref": "ayushkhaire/connect-to-gemma-running-on-kaggle-from-anywhere", "kernel_id": "86354546"}, {"ref": "nicholas33/googledeepmind-gemma3n-multilangtranslator-nb153", "kernel_id": "86052360"}, {"ref": "makimakiai/gemma-3n-4b-multimodal-finetuning-inferen-v0707", "kernel_id": "86483683"}, {"ref": "mehedihasanmoon/gemma-3n-info", "kernel_id": "86983449"}, {"ref": "mehedihasanmoon/how-to-use-gemma-3n-on-kaggle", "kernel_id": "86979013"}, {"ref": "sidoineyebadokpo/agrilens-ai-good-notebook", "kernel_id": "86065155"}, {"ref": "vivekumar001/gemma-3n-krishi-mitra", "kernel_id": "86711391"}, {"ref": "bhoomikabeniwal/gemma3ndisaster-assistant", "kernel_id": "86613199"}, {"ref": "hwkims/diving-test-pfork-of-cpu-test-gemma-3n-on-kaggle", "kernel_id": "86370420"}, {"ref": "hwkims/cpu-test-gemma-3n-on-kaggle", "kernel_id": "86258925"}, {"ref": "hwkims/googlefork-of-cpu-test-gemma-3n-on-kaggle", "kernel_id": "86514764"}, {"ref": "hwkims/fork-of-google-test-gemma-3n-o", "kernel_id": "86516898"}, {"ref": "hwkims/gemma-3n", "kernel_id": "86985715"}, {"ref": "hwkims/goog-stock-analysis-using-cpu-test-gemma-3n-o", "kernel_id": "86982750"}, {"ref": "marcelocruzeta/gemma-3n-as-simple-as-possible-with-ollama", "kernel_id": "86017932"}, {"ref": "wonjunchoi7/glucoguide-smarter-food-choices-with-gemma-3n", "kernel_id": "86231618"}, {"ref": "sircausticmail/gemma-3n-knock-knock-jokes", "kernel_id": "87192439"}, {"ref": "anniechen0/moli-ai-mobile-librarian-with-gemma-3n", "kernel_id": "87497168"}, {"ref": "charlesbwhetstone/ai-voice-coach-with-multimodal-journaling", "kernel_id": "87072880"}, {"ref": "shartoo/progressai-gemma-3n-based-target-manage", "kernel_id": "87644189"}, {"ref": "parselt/gemma3n-baseline1", "kernel_id": "87090327"}, {"ref": "karthikrao121/phoneguard", "kernel_id": "87493617"}, {"ref": "crischir/caption-with-gemma-3n-on-kaggle", "kernel_id": "87580256"}, {"ref": "wlsgusjin/vaitech", "kernel_id": "87140600"}, {"ref": "jasonkung98/gemma-3n-4b-multimodal-finetuning-inference", "kernel_id": "87744010"}, {"ref": "loycelorenzo/snake-identification-gemma-3n-rag-translate", "kernel_id": "87406875"}, {"ref": "normanputra/clinicians-note-transcriber", "kernel_id": "87826190"}, {"ref": "garvitkatyal/clothes-detection-using-audio-image-gemma-3n", "kernel_id": "87973320"}, {"ref": "bhavyaratanmaroo/gemma-3n-4b-multimodal-finetuning-inferen-bf76b3", "kernel_id": "87967090"}, {"ref": "valluruchetanreddy/gemma-3n-finetuning-vision-text-and-task", "kernel_id": "87405191"}, {"ref": "ahmetyasin1/pdf-to-synthetic-instr-data-langchain-ollama", "kernel_id": "87495463"}, {"ref": "christina0626/teachermate-from-class-recordings-to-clean-lec", "kernel_id": "87714977"}, {"ref": "syntaxprnv/medical-assistance-gemma-3n-4b-multimodal", "kernel_id": "87128272"}, {"ref": "macrocosmking/gemma-3n-using-gardio-opencv", "kernel_id": "87386621"}, {"ref": "eugeniokukes/workplace-safety", "kernel_id": "87396873"}, {"ref": "harshan164/gemma-3n-guide", "kernel_id": "87370701"}, {"ref": "emmermarcell/gemma-3n-e2b-finetune-to-hungarian", "kernel_id": "87081827"}, {"ref": "aliguinga5/connect-to-gemma-running-on-kaggle-from-anywhereal", "kernel_id": "87073993"}, {"ref": "yichuanhuang/gemma3n-garbage-classification", "kernel_id": "87256264"}, {"ref": "srijan1upadhyay/gemma-pro-toolkit-v1", "kernel_id": "87960018"}, {"ref": "jatinsabari/deepfake-lies-meet-their-end", "kernel_id": "87478450"}, {"ref": "habanwer/gemma-3ncore-the-adimension-s-anwer", "kernel_id": "87439635"}, {"ref": "hwkims/gemma-3n-4b-multimodal-finetuning-inference", "kernel_id": "87180578"}, {"ref": "deeplumiere/gemma-3n-submission", "kernel_id": "87992126"}, {"ref": "aramatilohithareddy/gemma-3n-agriaid-ai-model-v1", "kernel_id": "87405479"}, {"ref": "harshadbhirud/waste-sorting-assistant-offline-inference-api", "kernel_id": "87295511"}, {"ref": "devanshshukla123/gemma-legal-advisor-letter-writing-and-download", "kernel_id": "87387737"}, {"ref": "galacticvraj/medocr-lab-report-assistant", "kernel_id": "87993324"}, {"ref": "rajatprao/gemma-3n-4b-multimodal-finetuning-v1", "kernel_id": "87030376"}, {"ref": "bahmutsky/gemma-3n-4b-multimodal-finetuning-inference", "kernel_id": "87015343"}, {"ref": "fangyuhsuan/gemma-3n-4b-multimodal-finetuning-inference", "kernel_id": "87254304"}, {"ref": "aya1490/gemma-3n-image-to-text-on-kaggle", "kernel_id": "87983678"}, {"ref": "jiechengzhao/polisai-personal-value-alignment-demonstration", "kernel_id": "88653452"}, {"ref": "nitinpasumarthy/zenvironment", "kernel_id": "88842123"}, {"ref": "noobsajbot/gsafe-testing", "kernel_id": "88581681"}, {"ref": "noobsajbot/gsafe-fine-tuning", "kernel_id": "88442606"}, {"ref": "delayedkarma/mindbridge-accessibility-assistant-with-gemma-3n", "kernel_id": "88197107"}, {"ref": "rickpack/gemma3n-make-dependencies-available-offline", "kernel_id": "88524838"}, {"ref": "emrahyigit/gemma-safety-agent", "kernel_id": "88437681"}, {"ref": "lelelu/home-partner-help-child-old-sick-give-love-support", "kernel_id": "88768839"}, {"ref": "danielhanchen/gemma-3n-4b-vision-finetuning", "kernel_id": "88208801"}, {"ref": "danielhanchen/gemma-3n-4b-audio-finetuning", "kernel_id": "88209925"}, {"ref": "gpreda/finetune-gemma-3n-for-dental-x-ray-diagnosis", "kernel_id": "88521231"}, {"ref": "gpreda/finetune-gemma-3n-4b-vision-for-latex-math-eq", "kernel_id": "88502456"}, {"ref": "gpreda/test-gemma-3n-4b-multimodal-with-unsloth", "kernel_id": "88240314"}, {"ref": "parselt/gemma-3n-4b-vision-finetuning", "kernel_id": "88361266"}, {"ref": "zakirkhanaleemi/customize-llm-lora-training", "kernel_id": "88269325"}, {"ref": "allisterb/fine-tuning-gemma-3n-for-function-calling", "kernel_id": "88826098"}, {"ref": "sumantrad/health-coach-wearable-sensor-fusion", "kernel_id": "88812055"}, {"ref": "tobimichigan/gemma-3n-4b-academic-papers-finetuning-inference", "kernel_id": "88804644"}, {"ref": "ankithreddy/gemma3nvla-lerepairbot-v0", "kernel_id": "88675879"}, {"ref": "ankithreddy/gemma3n-multimodal-rag", "kernel_id": "88512904"}, {"ref": "daniloedu/notebook-gemma3n-challenge", "kernel_id": "88178969"}, {"ref": "pablodig/how-to-fine-tune-an-llm-with-unsloth-and-lora-mdc", "kernel_id": "88341155"}, {"ref": "pablodig/automatic-network-reconstruction-with-gemma-v2", "kernel_id": "88318856"}, {"ref": "pablodig/abnr-with-gemma-3n-4-b-lora", "kernel_id": "88414299"}, {"ref": "stpeteishii/gemma3-4b-visual-question-answering-w-ollama", "kernel_id": "88950971"}, {"ref": "stpeteishii/gemma-3b-4-bit-lora-fine-tuning-with-unsloth", "kernel_id": "88772164"}, {"ref": "stpeteishii/gemma3n-e4b-visual-question-answering-w-ollama", "kernel_id": "88845567"}, {"ref": "woosungyoon/llm-local-consensus", "kernel_id": "88832953"}, {"ref": "sanchayanghosh/navigator-bot", "kernel_id": "88734216"}, {"ref": "udaken10/gemma-3n-llm", "kernel_id": "88152232"}, {"ref": "udaken10/langchain-ollama-lln", "kernel_id": "88154411"}, {"ref": "udaken10/gemma3n-finetuning", "kernel_id": "88457755"}, {"ref": "aravindrajendran97/whized-fine-tuning", "kernel_id": "88496319"}, {"ref": "mirzamilanfarabi/importing-unsloth-gemma-3n-e4b-unsloth-bnb-4bit", "kernel_id": "88734628"}, {"ref": "dohamomani/signly-app", "kernel_id": "88587889"}, {"ref": "dohamomani/signly", "kernel_id": "88838356"}, {"ref": "chaitanya99/customize-llm-step-by-step-lora-training", "kernel_id": "88011282"}, {"ref": "sahanabasapathi/presentation-coach", "kernel_id": "88184536"}, {"ref": "sahanabasapathi/a-simple-calorie-counter", "kernel_id": "88475920"}, {"ref": "drpashamd4r/gemma-3n-give-me-my-meme", "kernel_id": "88396109"}, {"ref": "ekadharmapranoto/eka-dharma-pranoto-gemma3n-google-hackathon-2025", "kernel_id": "88227302"}, {"ref": "crsuthikshnkumar/gemma-3n-gemini-idioms-comp-crsk", "kernel_id": "88222788"}, {"ref": "crsuthikshnkumar/gemma-3n-science-rationality-asst-comp-crsk", "kernel_id": "88229785"}, {"ref": "fuxiangting/how-to-use-gemma-3n-on-kaggle", "kernel_id": "88398258"}, {"ref": "srinivasta/leafdiseasewithgemma3n", "kernel_id": "88274515"}, {"ref": "janetanand/gemma-3n-for-tamil-oral-heritage-analysis", "kernel_id": "88428432"}, {"ref": "harshkumar9/gemma-3n-4b-for-creating-datasets", "kernel_id": "88222333"}, {"ref": "vet231199/petbreedid-a-multimodal-application", "kernel_id": "88499200"}, {"ref": "hongkongno1/yamma-ai-flutter-mobile-app-for-hiker", "kernel_id": "88943545"}, {"ref": "yashpalthakor/trigemma-text-image-audio-3", "kernel_id": "88125551"}, {"ref": "semilogovictor/bring-indigenous-history-to-life", "kernel_id": "88186724"}, {"ref": "antoinehugueney/gemme-3n-sur-kaggle-donjon-ou-dragon", "kernel_id": "88607566"}, {"ref": "yasirali22/signl-training", "kernel_id": "88270712"}, {"ref": "absl0z/gemma-3n-prompt-refinement-assistant-1", "kernel_id": "88496007"}, {"ref": "kubermehta/secondyou-your-external-brain", "kernel_id": "88777465"}, {"ref": "muzansano/sentinelgem", "kernel_id": "88428698"}, {"ref": "ckskaggle/unsloth2", "kernel_id": "88814141"}, {"ref": "huseyincavus/gemma-3n-4b-multimodal-finetuning-inference", "kernel_id": "88211231"}, {"ref": "jatinsabari/video-gemma", "kernel_id": "88446287"}, {"ref": "bhoomikabeniwal/gemma-disaster-assistance", "kernel_id": "88812785"}, {"ref": "shrey213/agri-vision-gemma3n", "kernel_id": "88806412"}, {"ref": "sahassandesh/rebotv2-gemma3n-blip", "kernel_id": "88804206"}, {"ref": "yintechen/gemma-3n-based-ai-teacher", "kernel_id": "88067109"}, {"ref": "ashwathkarunakaram/gemma-3n-4b-neuroflow-finetuning", "kernel_id": "88347844"}, {"ref": "kelesfatih/mentis-gemma3n4b-finetuning", "kernel_id": "88462172"}, {"ref": "jaisalkjain/blindvision", "kernel_id": "88055372"}, {"ref": "leonzeitler/healthgem-app-showcase", "kernel_id": "88834407"}, {"ref": "mohamednauman/notebook7216aae045", "kernel_id": "88139915"}, {"ref": "nishantmishra72777/notebookca25bd7b48", "kernel_id": "88392394"}, {"ref": "nicholechristie/notebook12dc146197", "kernel_id": "88101718"}, {"ref": "manimugdhasaikia/testing-gguf", "kernel_id": "88756533"}, {"ref": "manimugdhasaikia/fine-tune-and-gguf-2b", "kernel_id": "88835232"}, {"ref": "punkada/gemma-3n-unsloth-finetune-ham10000", "kernel_id": "88528886"}, {"ref": "rimitaghosh/pragyaai-offline-multilingual-ocr-q-a-engine", "kernel_id": "88066705"}, {"ref": "seconds0/emergency-response-bot-gemma-3n-fine-tuning", "kernel_id": "88340640"}, {"ref": "sjyuxyz/edugemma-on-device-ai-for-education-everywhere", "kernel_id": "88839572"}, {"ref": "lelelu/family-partner-help-child-old-sick-deaf-all-family", "kernel_id": "89098766"}, {"ref": "stpeteishii/gemma3n-e4b-coding-task-w-ollama", "kernel_id": "89578947"}, {"ref": "opemipooduntan/indigenous-heritage-model-3n", "kernel_id": "89616730"}, {"ref": "siyavashamirhajloo/gemma-3n-4b-multimodal-finetuning-inference", "kernel_id": "90954426"}, {"ref": "itsyoursumit/gemma-3n-4b-multimodal-finetuning-inference", "kernel_id": "94701373"}, {"ref": "paulinamoskwa/gemma-3n-fine-tuned-for-doc-understanding", "kernel_id": "103079761"}, {"ref": "chenybit/hospital-digital-architect", "kernel_id": "107325488"}, {"ref": "nyemotuppa/notebookfd7a5cb64c", "kernel_id": "130238699"}]}
{"competition_id": "105343", "kernels": [{"ref": "jeffheaton/basic-xgboost-model-artifacts", "kernel_id": "86509098"}, {"ref": "jeffheaton/basic-pytorch-model-artifact", "kernel_id": "86512578"}, {"ref": "dsmith1095/ds-sf-cnn-xgb-ensemble-kaggle", "kernel_id": "86866318"}]}
{"competition_id": "105349", "kernels": [{"ref": "verifyitisyou/starter-ca-mega-house-regression", "kernel_id": "88679080"}]}
{"competition_id": "105372", "kernels": []}
{"competition_id": "105375", "kernels": [{"ref": "sanjidh090/solution-for-brisbane-customer-retention-datathon", "kernel_id": "85274875"}]}
{"competition_id": "105377", "kernels": []}
{"competition_id": "105384", "kernels": [{"ref": "asetysqaq/moc-competition-notebook", "kernel_id": "85185846"}, {"ref": "tomy00/moc-competition", "kernel_id": "85263900"}, {"ref": "himanmanduja/moc-competition-mental-health-v1", "kernel_id": "87213916"}, {"ref": "verifyitisyou/moc-competition-notebook-advanced-tabular", "kernel_id": "88342342"}, {"ref": "lunakettlewell/moc-competition-luna-kettlewell", "kernel_id": "88240009"}]}
{"competition_id": "105399", "kernels": [{"ref": "ghazali/aeroclub-recsys-cup", "kernel_id": "85831340"}, {"ref": "stpeteishii/flightrank-lgbm-ranker-explanation", "kernel_id": "85846106"}, {"ref": "mpwolke/i-want-to-fly-recsys-duckdb-parquet", "kernel_id": "85581502"}, {"ref": "ka1242/xgboost-ranker-with-polars", "kernel_id": "85765702"}, {"ref": "ka1242/catboost-ranker-baseline-flightrank-2025", "kernel_id": "85672752"}, {"ref": "isinsuu/xgboost-ranker-baseline", "kernel_id": "85700148"}, {"ref": "abhinavdogra002/kaggle-gold-rush-xgboost-lightgbm-pipeline", "kernel_id": "85809326"}, {"ref": "abhinavsharma0706/flight-lgbm", "kernel_id": "85669326"}, {"ref": "abhinavsharma0706/flight-xgboost", "kernel_id": "85716283"}, {"ref": "mgoloshchapov/no-ml-no-dl-no-data-no-thinking-0-2", "kernel_id": "85856915"}, {"ref": "quannguyn12/lightgbm-ranker-ndcg-3", "kernel_id": "85645680"}, {"ref": "antonoof/0-score-one-love", "kernel_id": "85576683"}, {"ref": "antonoof/baseline-xgboost", "kernel_id": "85611880"}, {"ref": "palvinder2006/flightrank-v5", "kernel_id": "85493418"}, {"ref": "qifeihhh666/let-me-fly", "kernel_id": "85450568"}, {"ref": "ramanofthesky/let-me-fly", "kernel_id": "85376692"}, {"ref": "ramanofthesky/let-me-fly-2", "kernel_id": "85607588"}, {"ref": "sergeyqt2024/no-ml-no-dl-just-import-polars-0-255", "kernel_id": "85651727"}, {"ref": "junhaochan/code-to-reorder-and-rename-columns", "kernel_id": "85882789"}, {"ref": "vedanthumbe/i-want-to-fly-recsys-duckdb-parquet", "kernel_id": "85595756"}, {"ref": "vedanthumbe/let-me-fly", "kernel_id": "85597815"}, {"ref": "vedanthumbe/let-me-fly-d9fc1f", "kernel_id": "85645657"}, {"ref": "shivansusoni/flightrank-2025-aeroclub-recsys-cup", "kernel_id": "86460340"}, {"ref": "quannguyn12/ensemble-with-polars", "kernel_id": "86107113"}, {"ref": "sagorkumarmitra/flightrank-2025-aeroclub-recsys-cup", "kernel_id": "86568016"}, {"ref": "awadmali/flightrank-2025-aeroclub-recsys-cup-a", "kernel_id": "86299455"}, {"ref": "leopoldooliveira/lightgbm-lambdarank-manual-fine-tuning-0-48737", "kernel_id": "86986575"}, {"ref": "dexter626/flightrank-eda", "kernel_id": "86170253"}, {"ref": "ardabaranbaytar/flight-recommendation-ranking-with-lightgbm", "kernel_id": "86460670"}, {"ref": "jermainez/flight-rank-first-submission", "kernel_id": "86217137"}, {"ref": "elenaryashchentceva/0-score-one-love-improve-to-0-19-score", "kernel_id": "86145482"}, {"ref": "junhaochan/baseline-lightgbm-pb-0-414", "kernel_id": "86042751"}, {"ref": "gauravparkhedkar/flightrankmysol", "kernel_id": "86027170"}, {"ref": "aasirwaseer/eda-flightrank-2025-aeroclub-recsys-cup", "kernel_id": "87699064"}, {"ref": "isinsuu/xgboost-params-test", "kernel_id": "87499818"}, {"ref": "ducknew/simple-ensemble", "kernel_id": "87420503"}, {"ref": "samvelkoch/reference-json-converters", "kernel_id": "87427370"}, {"ref": "wriloant/1comp2win-2", "kernel_id": "87293935"}, {"ref": "roxhap/getting", "kernel_id": "87306519"}, {"ref": "mango789/xgboost-ranker-rule-based-rerank", "kernel_id": "87852396"}, {"ref": "aroshabakhtawar/group-aware-flight-ranking-with-lightgbm", "kernel_id": "87679186"}, {"ref": "aroshabakhtawar/flight-ranking", "kernel_id": "87577518"}, {"ref": "misterfour/flightrank-2025-aeroclub-recsys-cup", "kernel_id": "87475393"}, {"ref": "elenaryashchentceva/get-a-sample", "kernel_id": "87730781"}, {"ref": "elffff/housesaleprice-comp", "kernel_id": "87222711"}, {"ref": "gauripatil2299/aeroclub-recsys-cup-flightrank-2025", "kernel_id": "87027547"}, {"ref": "mabubakarhere/flightrank-educational-starter", "kernel_id": "87839061"}, {"ref": "nina2025/flightrank-2025-aeroclub-recsys-cup", "kernel_id": "87430162"}, {"ref": "abubakaridrees/flightrank-2025-ab", "kernel_id": "87722614"}, {"ref": "sarajaved25/xgboost-ranker-with-polars-8b2164", "kernel_id": "87698143"}, {"ref": "stpeteishii/flightrank-catboost-ranker-explanation", "kernel_id": "88547594"}, {"ref": "stpeteishii/flightrank-xgb-ranker-explanation", "kernel_id": "88260973"}, {"ref": "wriloant/xgboost-trial", "kernel_id": "88305265"}, {"ref": "anthonytherrien/flightrank-2025-aeroclub-recsys-cup-clean", "kernel_id": "88731253"}, {"ref": "elenaryashchentceva/work-with-dataset", "kernel_id": "88591992"}, {"ref": "elenaryashchentceva/with-traing-set", "kernel_id": "88079213"}, {"ref": "hwkims/flightrank-2025-aeroclub-recsys-cup-hv-blend", "kernel_id": "88749226"}, {"ref": "robertcrusejr/simple-lightgbm-flight-ranking", "kernel_id": "88610088"}, {"ref": "shamimhasan8/xgboost-params-test", "kernel_id": "88271310"}, {"ref": "saharmah3r99/catboost", "kernel_id": "88982764"}, {"ref": "goldenlock/aeroclub-recsys-2025-1st-solution", "kernel_id": "89769095"}, {"ref": "sitrakamatthew/ml-notebook6f168890c7", "kernel_id": "89542395"}, {"ref": "letemoin/flightrank-n-folds-holdout-single-model", "kernel_id": "89127657"}, {"ref": "ceecreative/flightrank-2025-aeroclub-recsys-cup", "kernel_id": "89002458"}, {"ref": "surenvayradyan/score-0-48-detailed-tutorial-on-xgb-and-polars", "kernel_id": "89269616"}, {"ref": "iitm21f1006964/notebookc28d42a976", "kernel_id": "89464495"}, {"ref": "lazylad99/flightrank-sol5", "kernel_id": "89295525"}, {"ref": "mikhailgolubchik/sm-xgboost-single", "kernel_id": "89546558"}, {"ref": "noskaiser/model-esemble", "kernel_id": "89330460"}, {"ref": "jermainez/sm-single-xgboost-submission", "kernel_id": "89440863"}, {"ref": "sukrititalwar/notebook91d6e6a71e", "kernel_id": "89542009"}, {"ref": "rudranshsinghrathore/notebooke395d5ff47", "kernel_id": "89539544"}, {"ref": "ishitabahamnia/flightrank2025-aeroclub-recsys-cup1", "kernel_id": "89376106"}, {"ref": "shyamshetty/flightrank-lightgbm-optunatuned", "kernel_id": "89518715"}, {"ref": "lainnovic/final-submission-private-score-0-50019", "kernel_id": "89538326"}, {"ref": "cc251341/xbg-model-v1", "kernel_id": "89331842"}, {"ref": "lakshtanov18031987/0-5058-pandas-single-xgb-no-post-model-rerank", "kernel_id": "90402618"}, {"ref": "meiramzarypkanov/aerospace-ranking", "kernel_id": "101913782"}, {"ref": "cyclerlol/deeplearning-ranker-flightrecsys-baseline", "kernel_id": "101644451"}, {"ref": "kiendc04/ranker-flightrecsys", "kernel_id": "104000395"}, {"ref": "alexanderdyukarev/final", "kernel_id": "106553959"}, {"ref": "dungdz2/flight-recsys-prepdata-mlp-only", "kernel_id": "106386996"}, {"ref": "rinatgil/gilmutdinov-final-ver1", "kernel_id": "107345388"}, {"ref": "peanuffy/notebookb3e576cb5a", "kernel_id": "107279182"}, {"ref": "kirilld111/final-task-flightrank", "kernel_id": "107265851"}, {"ref": "powerruss/final-project", "kernel_id": "107297580"}, {"ref": "alexanderredkov/flightrank-2025", "kernel_id": "107839265"}, {"ref": "dyotak/flight-ranker", "kernel_id": "108548536"}]}
{"competition_id": "105456", "kernels": []}
{"competition_id": "105463", "kernels": [{"ref": "jinseok02/baseline", "kernel_id": "85264079"}]}
{"competition_id": "105539", "kernels": [{"ref": "sverchkov/looking-up-ensp-sequences-with-biopython", "kernel_id": "93131101"}]}
{"competition_id": "105552", "kernels": []}
{"competition_id": "105556", "kernels": []}
{"competition_id": "105581", "kernels": [{"ref": "xinyishen348/hedge-fund-competition", "kernel_id": "106995235"}, {"ref": "priyamsaha17/adata-time-series-forecasting", "kernel_id": "106824870"}, {"ref": "ashsihkumar/hedge-fund-time-series", "kernel_id": "106695863"}, {"ref": "natina/hf-data-visualization", "kernel_id": "106933295"}, {"ref": "adatacompany/basic-example-old", "kernel_id": "106379765"}, {"ref": "hweowe/basic-example", "kernel_id": "106636106"}, {"ref": "realtalhacelik/correct-split-lightgbm-no-leak", "kernel_id": "106718212"}, {"ref": "rafanikitas/hedge-fund-feature-analysis-lightgbm", "kernel_id": "107767761"}, {"ref": "yihanguo/hedge-fund", "kernel_id": "107488166"}, {"ref": "jagrutiyuvrajdhangar/time-series-forecasting", "kernel_id": "107285664"}, {"ref": "lakhindarpal/hedge-fund-time-series-forecasting", "kernel_id": "107934844"}, {"ref": "alickqs/notebook5769faab31-a15692", "kernel_id": "107773460"}, {"ref": "abdulahadshaik/hedgefund-n1", "kernel_id": "107175772"}, {"ref": "ashsihkumar/time-series-forecasting", "kernel_id": "107675507"}, {"ref": "nikitamanaenkov/hedge-fund-mlp-embeddings", "kernel_id": "107214225"}, {"ref": "vivekumar001/hedge-fund", "kernel_id": "107810038"}, {"ref": "kindasomethin/multiple-lightgbm-approach", "kernel_id": "107725209"}, {"ref": "furqonaryadana/hedge-fund-time-forecasting", "kernel_id": "107767458"}, {"ref": "mugishapacifique/from-zero-to-submission-gpu-time-series-baseline", "kernel_id": "107407350"}, {"ref": "michelemil/hedge-fund-compet-jax", "kernel_id": "107758419"}, {"ref": "nina2025/hedge-fund-h-blend-temp2", "kernel_id": "107015289"}, {"ref": "adatacompany/example-of-an-incorrect-modelling", "kernel_id": "107542282"}, {"ref": "hmnshudhmn24/hedge-fund-time-series-forecasting", "kernel_id": "107529514"}, {"ref": "oosmansadiq/hedge-fund-time-series-forecasting", "kernel_id": "107160974"}, {"ref": "yakushima/notebook5769faab31", "kernel_id": "107276903"}, {"ref": "lanzezhou/hedgefund-version-5", "kernel_id": "107007148"}, {"ref": "kongpasom/time-series-eda", "kernel_id": "108399574"}, {"ref": "chakrabhuanavdeva/lgbm-forecasting", "kernel_id": "108126708"}, {"ref": "ramazanturann/lightgbm-combined-features", "kernel_id": "108273160"}, {"ref": "mclockwang/transformer-ts-forecast-fast", "kernel_id": "108519248"}, {"ref": "mclockwang/transformer-ts-forecast", "kernel_id": "108503901"}, {"ref": "mclockwang/transformer-time-series-forecast", "kernel_id": "108503576"}, {"ref": "amanatar/hedge-fund-lb-2598", "kernel_id": "108960239"}, {"ref": "sahil4818/lgbm-1", "kernel_id": "108856786"}, {"ref": "narsil/2026-02-09-knai-hedge-fund-comp", "kernel_id": "109057960"}, {"ref": "georgorg/iasa-ua-starter-notebook", "kernel_id": "109315863"}, {"ref": "aliozanmemetoglu/hedge-fund-baseline", "kernel_id": "109270269"}, {"ref": "ravi20076/hedgefund2026-blindblend-v1", "kernel_id": "109606176"}, {"ref": "abhinavsharma0706/hedge-01", "kernel_id": "109980427"}, {"ref": "kaushalnandania/improved-model-with-high-score", "kernel_id": "109479049"}, {"ref": "kaushalnandania/multiple-lightgbm-approach-with-high-score", "kernel_id": "109041972"}, {"ref": "muhammaddanyalmalik/h-blend-super", "kernel_id": "109606470"}, {"ref": "rhythmghai/leakage-safe-ts-forecast-baseline", "kernel_id": "109258597"}, {"ref": "kami1976/hedge-fund-time-series-forecast-optimization", "kernel_id": "109583842"}, {"ref": "michelemil/ga-select-hedgefund", "kernel_id": "109297446"}, {"ref": "nina2025/hedge-fund-ensemble-of-solutions", "kernel_id": "109411246"}, {"ref": "sharmajicoder/hedge-fund-time-series-forecasting", "kernel_id": "110247783"}, {"ref": "dasdasdada/perhorizon-lightgbm-with-sequential-feature-engine", "kernel_id": "110493294"}, {"ref": "arockianishas/alpha-robust-multi-horizon-time-series-forecating", "kernel_id": "110482089"}, {"ref": "kaushalnandania/two-model-approach", "kernel_id": "110468556"}, {"ref": "kaushalnandania/two-model-approach-with-time-based-k-fold", "kernel_id": "110723510"}, {"ref": "amanatar/lb-2604-20-seeds", "kernel_id": "110091224"}, {"ref": "gabrielcaramori/nbcomp-headfund", "kernel_id": "110764780"}, {"ref": "halitta/hedge-fund-fast-v2", "kernel_id": "110795591"}, {"ref": "halitta/hedge-fund-improved-v3", "kernel_id": "110796212"}, {"ref": "halitta/hedge-fund-ts-solution", "kernel_id": "110794510"}, {"ref": "halitta/hedge-fund-ts-championship-solution", "kernel_id": "110794379"}, {"ref": "halitta/hedge-fund-ts-championship-solution-v1", "kernel_id": "110794307"}, {"ref": "shlokkumar2303/hedgefundv2", "kernel_id": "110344854"}, {"ref": "hngboon/tsforecating", "kernel_id": "110564259"}, {"ref": "ssssws/correct-split-lightgbm", "kernel_id": "110849164"}, {"ref": "jamesmcguigan/hedge-fund-flaml", "kernel_id": "111888883"}, {"ref": "arockianishas/leakage-free-horizon-specific-time-series-modeling", "kernel_id": "111206571"}, {"ref": "saurabhrajvarma/quantitive-time-series-forecasting-hedge-funs", "kernel_id": "111686115"}, {"ref": "furqonaryadana/rule-safe-freq-encoding-lgbm-pipeline-cv-0-25", "kernel_id": "111577779"}, {"ref": "dragonaja/hedge-fund-time-series-forecast-optimization", "kernel_id": "111098053"}, {"ref": "mniubh/forecast-gpt-baselinev1", "kernel_id": "111945195"}, {"ref": "mniubh/eda-hedge-fund1", "kernel_id": "111945361"}, {"ref": "hieplv/notebook031b93824a", "kernel_id": "111259811"}, {"ref": "ryuenk/drochka-feach", "kernel_id": "112942289"}, {"ref": "nminhieu/notebook223b66c7bc", "kernel_id": "112361077"}, {"ref": "nminhieu/times-series", "kernel_id": "112856241"}, {"ref": "tivinkhoghnh/notebookd650bf464f", "kernel_id": "112197296"}, {"ref": "shubhamraikwar142/03-generate-submission-lightgbm", "kernel_id": "112086084"}, {"ref": "akshitabhardwaj2/notebook1320c1bd1e", "kernel_id": "112066210"}, {"ref": "fairlanderflick/hedge-fund-comp-2", "kernel_id": "112412439"}, {"ref": "nicolepatterson8910/time-series-forecast-tabular-data", "kernel_id": "113547335"}, {"ref": "nicolepatterson8910/time-series-forecast-w-eda", "kernel_id": "113898309"}, {"ref": "ameythakur20/hedge-fund-time-series-forecasting", "kernel_id": "113468426"}, {"ref": "votrikhoi/2boys1model-hedge-fund-time-series-forecasting", "kernel_id": "113138103"}, {"ref": "ishitabahamnia/hedge-fund-time-series-forecasting-notebook", "kernel_id": "113444093"}, {"ref": "avikdas567/time-series-forecasting-with-lag-features-lightgbm", "kernel_id": "113663090"}, {"ref": "nhannhan22/ultimate-fund", "kernel_id": "113490837"}, {"ref": "mniubh/clone-2604", "kernel_id": "113518081"}, {"ref": "mniubh/gemini-solution-2", "kernel_id": "113712840"}, {"ref": "mniubh/forecast-using-chronos2", "kernel_id": "113020178"}, {"ref": "datvanvu/notebooke5d33fe30d", "kernel_id": "113418395"}, {"ref": "phcnguynthanh207/notebookb441a7e1f0", "kernel_id": "113481178"}, {"ref": "quangthuan19/tpile-28-24", "kernel_id": "113530826"}, {"ref": "supercriet/notebookc0e631e29b", "kernel_id": "113082972"}, {"ref": "kongpasom/time-series-forecasting-hedge-funs", "kernel_id": "114759501"}, {"ref": "stpeteishii/hedge-fund-forecasting-lgbm", "kernel_id": "114151439"}, {"ref": "adriantowijaya/hedge-fund-ts-forecasting-xgboost-v2", "kernel_id": "114838928"}, {"ref": "dmitriych/is-it-possible-to-make-lightgbm-reproducible", "kernel_id": "114904535"}, {"ref": "rigzadigga/rigzadigga-0-2469", "kernel_id": "114801310"}, {"ref": "atharvanilawar/chunk-based-ensemble-solution", "kernel_id": "114231615"}, {"ref": "atharvanilawar/arthurxxiv-0-3368-submission", "kernel_id": "114713015"}, {"ref": "saurabhrajvarma/hedge-fund-time-series-forecasting-lgbm", "kernel_id": "114104612"}, {"ref": "badboyhalo1801/lightgbm-baseline-for-time-series-forecasting", "kernel_id": "114143868"}, {"ref": "badboyhalo1801/simple-baseline-for-time-series-forecasting", "kernel_id": "114144391"}, {"ref": "badboyhalo1801/advanced-model-for-time-series-forecasting", "kernel_id": "114144592"}, {"ref": "badboyhalo1801/ts-forecasting-ridge-baseline", "kernel_id": "114140406"}, {"ref": "badboyhalo1801/ts-forecasting-simple-baseline", "kernel_id": "114140595"}, {"ref": "badboyhalo1801/ts-forecasting-lightgbm", "kernel_id": "114140741"}, {"ref": "badboyhalo1801/ts-forecasting-simple-baseline-v2", "kernel_id": "114140826"}, {"ref": "badboyhalo1801/ts-forecasting-lightgbm-v2", "kernel_id": "114140879"}, {"ref": "badboyhalo1801/ts-forecasting-feature-only", "kernel_id": "114141154"}, {"ref": "badboyhalo1801/ts-forecasting-advanced", "kernel_id": "114140986"}, {"ref": "badboyhalo1801/ts-forecasting-sequential", "kernel_id": "114142550"}, {"ref": "badboyhalo1801/ts-forecasting-improved-model-v3", "kernel_id": "114132861"}, {"ref": "badboyhalo1801/ts-forecasting-improved-model", "kernel_id": "114132406"}, {"ref": "badboyhalo1801/ts-forecasting-baseline-model", "kernel_id": "114127203"}, {"ref": "badboyhalo1801/ts-forecasting-baseline-model-v2", "kernel_id": "114131915"}, {"ref": "khanho/v17hedge", "kernel_id": "114157872"}, {"ref": "khanho/v222hedge", "kernel_id": "114277544"}, {"ref": "khanho/v21hedge", "kernel_id": "114258394"}, {"ref": "zhy078/haoyu-0-2445", "kernel_id": "114608542"}, {"ref": "nehash0123gmailcom/hedge-fund-time-series-forecasting", "kernel_id": "114378537"}, {"ref": "grifth/grifth-0-2339-lb0-199", "kernel_id": "114882928"}, {"ref": "rrachellm/hf-submission", "kernel_id": "114813480"}, {"ref": "rrachellm/hedge-fund-horizon1-v2", "kernel_id": "114834976"}, {"ref": "adatacompany/submission-example", "kernel_id": "114855530"}, {"ref": "nobodyknow123/v17-5hedgee", "kernel_id": "114665767"}, {"ref": "nobodyknow123/v17-9hedgee", "kernel_id": "114681049"}, {"ref": "huyygiaa/nhanh2", "kernel_id": "114738522"}, {"ref": "haidangquach/hehefund", "kernel_id": "114476130"}, {"ref": "ovcharenkoihor/deadtired", "kernel_id": "114208911"}, {"ref": "tomaszbiel/lgbm-shap-0-1749", "kernel_id": "115778059"}, {"ref": "johnnyhyland/lgb-causal-insights-0-1993-0-2048-5th", "kernel_id": "115618296"}, {"ref": "phuixu/ams-580-stony-brook", "kernel_id": "116566796"}, {"ref": "likhithageddam/hedgefundtimesieries", "kernel_id": "117726367"}, {"ref": "nghuxung/cs116", "kernel_id": "118287515"}, {"ref": "xvmhieu/hedge-fund-feature-analysis-lightgbm1374e0b359", "kernel_id": "121525088"}, {"ref": "nggiahuy09/ie212-q21", "kernel_id": "121405851"}, {"ref": "nggiahuy09/fork-of-ds102-q21", "kernel_id": "121685880"}, {"ref": "nggiahuy09/ds102-q21", "kernel_id": "121657253"}, {"ref": "iamtrunghieu/yassss", "kernel_id": "121568837"}, {"ref": "hieplv/notebook6bb125dcb5", "kernel_id": "121568347"}, {"ref": "dionotdumb/eda-hedge-fund1", "kernel_id": "121837460"}, {"ref": "hieplv/edaforfeaturealandtarget", "kernel_id": "122083532"}, {"ref": "hieplv/previousbaseline", "kernel_id": "122053436"}, {"ref": "hieplv/solution", "kernel_id": "122051105"}, {"ref": "andreatinarelli/hybrid-multi-horizon-forecasting", "kernel_id": "130020142"}]}
{"competition_id": "105603", "kernels": []}
{"competition_id": "105633", "kernels": []}
{"competition_id": "105648", "kernels": []}
{"competition_id": "105657", "kernels": []}
{"competition_id": "105658", "kernels": []}
{"competition_id": "105661", "kernels": [{"ref": "jaskeeratk/summer-school", "kernel_id": "85526422"}]}
{"competition_id": "105662", "kernels": [{"ref": "quyennguyenhuu2506/l-m-quen-v-i-kaggle", "kernel_id": "85488893"}]}
{"competition_id": "105670", "kernels": [{"ref": "indroniel/first-shot-logical-regression", "kernel_id": "85699592"}, {"ref": "indroniel/first-shot-logical-regression-xgbclassifier", "kernel_id": "86045204"}]}
{"competition_id": "105721", "kernels": []}
{"competition_id": "105734", "kernels": []}
{"competition_id": "105735", "kernels": []}
{"competition_id": "105741", "kernels": [{"ref": "thanhlamdev/eda-d-li-u", "kernel_id": "85707659"}]}
{"competition_id": "105748", "kernels": [{"ref": "christosalexand/final", "kernel_id": "110344645"}]}
{"competition_id": "105775", "kernels": [{"ref": "miwepenkoyo/02-baseline", "kernel_id": "85863570"}, {"ref": "yogendrabs/simple-regression", "kernel_id": "86434689"}]}
{"competition_id": "105776", "kernels": []}
{"competition_id": "105784", "kernels": [{"ref": "marcosgolo/baseline-instructions", "kernel_id": "85735441"}]}
{"competition_id": "105802", "kernels": [{"ref": "qifeihhh666/start-submission-mean", "kernel_id": "85804389"}, {"ref": "valliansayoga/how-to-load-train-and-sub-data", "kernel_id": "86391290"}, {"ref": "abhinavsharma0706/4-bio", "kernel_id": "86544895"}, {"ref": "noubaro/improving-data-structure", "kernel_id": "86143281"}, {"ref": "pohungliu/visualization-ridge-cnn", "kernel_id": "87118448"}, {"ref": "paritoshtripathi5/public-load-train-val-and-test-data", "kernel_id": "87584532"}, {"ref": "paritoshtripathi5/map-idea", "kernel_id": "87768247"}, {"ref": "hendrik42/dig-4-bio-raman-spectra-train-data-parsing", "kernel_id": "88576382"}, {"ref": "abhinavsharma0706/dig4bio-v2", "kernel_id": "88560893"}, {"ref": "verifyitisyou/genetic-zoo-of-models", "kernel_id": "88837906"}, {"ref": "verifyitisyou/dig4bio-raman-simple-blend-remix", "kernel_id": "88797160"}, {"ref": "nina2025/dig4bio-raman-simple-blend", "kernel_id": "88304286"}, {"ref": "sarajaved25/dig4bio-raman-transfer-learning-challenge", "kernel_id": "88222590"}, {"ref": "sarajaved25/raman-spectroscopy-regression", "kernel_id": "88677050"}, {"ref": "nguyenlamphuquy/pca-lr-extraregressiontree", "kernel_id": "89889527"}, {"ref": "nguyenlamphuquy/pca-and-lr-is-all-u-need-pls-upvote", "kernel_id": "89840027"}, {"ref": "daosyduyminh/spectra-flow-an-advanced-raman-spectroscopy-ml", "kernel_id": "89726199"}, {"ref": "daosyduyminh/spectra-flow-sav-gol-tuned", "kernel_id": "89871066"}, {"ref": "daosyduyminh/upgraded-pipeline-fine-tuned-feature-engineering", "kernel_id": "89869130"}, {"ref": "georgemuma/teamwork-note", "kernel_id": "90595411"}, {"ref": "stepanantonov/ensemble-for-spectra", "kernel_id": "90707014"}, {"ref": "stepanantonov/how-to-load-train-and-sub-data", "kernel_id": "90109004"}, {"ref": "stepanantonov/pca-lr-extraregressiontree", "kernel_id": "90108104"}, {"ref": "muhammaddanyalmalik/transfer-learning-challenge", "kernel_id": "91325703"}, {"ref": "rutujajaypalmeshram/dig4bio", "kernel_id": "92585248"}, {"ref": "chaeeunjung/4-bio", "kernel_id": "92556333"}, {"ref": "ishitabahamnia/dig4bio-raman-transfer-learning-challenge", "kernel_id": "93086244"}, {"ref": "ishitabahamnia/notebook08b74542e7", "kernel_id": "93155181"}, {"ref": "paritoshtripathi5/final-solution-notebook", "kernel_id": "96221824"}, {"ref": "paritoshtripathi5/fork-of-preprocess-autogluon", "kernel_id": "96053080"}, {"ref": "daosyduyminh/final-submit-kaggle", "kernel_id": "96086383"}]}
{"competition_id": "105870", "kernels": [{"ref": "marcosgolo/baseline-cluster", "kernel_id": "85736012"}]}
{"competition_id": "105874", "kernels": [{"ref": "dawidx/baseline-solution", "kernel_id": "85746343"}, {"ref": "atharva0577/imposter-distilbert-baseline", "kernel_id": "85971309"}, {"ref": "mitamjeen/basic-lightgbm", "kernel_id": "85861426"}, {"ref": "adsefef/impostortext-cgbkts", "kernel_id": "85754067"}, {"ref": "abhishekameta47/real-fake-imposter", "kernel_id": "85765721"}, {"ref": "dj20261t/sbert-logistic-regression-a-lightweight-yet", "kernel_id": "85859015"}, {"ref": "tomy00/fake-or-real", "kernel_id": "85896241"}, {"ref": "kkhandekar/impostor-hunt-in-texts-support-vector-clf", "kernel_id": "86243532"}, {"ref": "sabyrbazarymbetov/data-structuring", "kernel_id": "86565172"}, {"ref": "sabyrbazarymbetov/gemma-3n-baseline-score-0-695", "kernel_id": "86730834"}, {"ref": "ayushsinghgour/text-classification-bert", "kernel_id": "86483921"}, {"ref": "abhinavsharma0706/fake-hunt", "kernel_id": "86530231"}, {"ref": "abhinavsharma0706/imposter-find", "kernel_id": "86380823"}, {"ref": "claramagdyghaly/realfake", "kernel_id": "86089662"}, {"ref": "claramagdyghaly/real-or-fake", "kernel_id": "86731789"}, {"ref": "purinutpolasanano/0-84232-enssenbel-4-model-impostor-hunt", "kernel_id": "86726233"}, {"ref": "leopoldooliveira/svm-rbf-tf-idf-features-score-0-82", "kernel_id": "86509162"}, {"ref": "aliffaagnur/siamese-network-deep-neural-networks", "kernel_id": "86453332"}, {"ref": "parthramdeo/real-fake-detection-dataframe-forming-guide", "kernel_id": "86010781"}, {"ref": "klgvklgv/notebookc6a8171cea", "kernel_id": "86539965"}, {"ref": "anji2705/fake-or-real-the-imposter-hunts-0-87551", "kernel_id": "86874299"}, {"ref": "sauravchuphal/fake-or-real-5-models-using-tfidf-gensim", "kernel_id": "86654502"}, {"ref": "gabrafo/fake-or-real-article-detection-using-svm", "kernel_id": "86367211"}, {"ref": "ahmed12998/predicr-real-text-id", "kernel_id": "86937943"}, {"ref": "timezio01/0-89211-fake-or-real-distil-bert-self-attention", "kernel_id": "86387362"}, {"ref": "timezio01/0-87759-fake-or-real-bert-pca-randomforest", "kernel_id": "86845280"}, {"ref": "metawave/memory-optimized-transformers-for-impostor-hunt", "kernel_id": "86138905"}, {"ref": "shamimhasan8/fake-or-real-the-impostor-hunt-in-texts", "kernel_id": "86922930"}, {"ref": "anrodon/detecting-fake-vs-real-summaries-svm-tf-idf", "kernel_id": "86539918"}, {"ref": "wagenrace/extracting-features-with-spacy", "kernel_id": "87496533"}, {"ref": "wagenrace/combining-feature-extraction-bert", "kernel_id": "87436440"}, {"ref": "wagenrace/no-ai-or-ml", "kernel_id": "87309459"}, {"ref": "wagenrace/dimension-reduction-with-umap", "kernel_id": "87766977"}, {"ref": "priyharshgangwar/training-data-needs-augmentation-lb-0-9336", "kernel_id": "87613822"}, {"ref": "anotherbadcode/truthgpt-spotting-real-in-this-fake-world", "kernel_id": "87251561"}, {"ref": "ducknew/simple-voting", "kernel_id": "87453847"}, {"ref": "vladimirmataev/drw-crypto-market-prediction-xgb-and-catboost", "kernel_id": "87814666"}, {"ref": "adegbaju/detecting-fake-text-using-ml", "kernel_id": "87436385"}, {"ref": "junaid512/pro-fake-or-real-the-impostor-hunt-in-texts", "kernel_id": "87114914"}, {"ref": "ahmadabuhazim/heuristic-baseline-with-no-external-data", "kernel_id": "87999287"}, {"ref": "haradibots/kaggle-project", "kernel_id": "87787552"}, {"ref": "ruhul20/fake-vs-real-randomforest-with-bert-encoder", "kernel_id": "87617380"}, {"ref": "nina2025/fake-or-real-the-impostor-hunt-in-texts-blend", "kernel_id": "87509922"}, {"ref": "sunnynguyensanjoseca/the-impostor-hunt-version-v2-0-score-0-83609", "kernel_id": "87880178"}, {"ref": "rohitdileep/word2vec-naivebayes", "kernel_id": "88365061"}, {"ref": "rohitdileep/distilbert", "kernel_id": "88120290"}, {"ref": "rohitdileep/word2vec-randomforest", "kernel_id": "88494952"}, {"ref": "trunghiu/fake-or-real-self-attention-blmppes", "kernel_id": "88483938"}, {"ref": "priyharshgangwar/eda-intuition-and-benchmarks", "kernel_id": "88372514"}, {"ref": "seraquevence/a-simple-bert-model-is-real-score-0-xx", "kernel_id": "88471405"}, {"ref": "vladimirmataev/multilingual-e5-small-embedding-catboost", "kernel_id": "88762852"}, {"ref": "vet231199/fake-or-real", "kernel_id": "88327242"}, {"ref": "umerellous/imposter-hunt", "kernel_id": "88493426"}, {"ref": "vaibhavbarala26/tf-idf-xgboost-real-fake", "kernel_id": "88515467"}, {"ref": "vaibhavbarala26/distilbert-real-fake", "kernel_id": "88517536"}, {"ref": "saharhaimyaccov/fake-or-real-the-impostor-hunt-in-texts", "kernel_id": "88329218"}, {"ref": "abdulkareemomer/0-89211-fake-or-real-distil-bert-self-attention", "kernel_id": "88073010"}, {"ref": "shrutaswiniborkakoty/fake-or-real", "kernel_id": "88613460"}, {"ref": "ibm51xx/using-lora-to-fine-tune-the-large-language-model", "kernel_id": "88632183"}, {"ref": "roshellchristina/imposter-hunt-final", "kernel_id": "88372294"}, {"ref": "repottedplant/eda-and-embedding-model", "kernel_id": "88958920"}, {"ref": "stpeteishii/transformer-rules-for-real-fake-text", "kernel_id": "89303466"}, {"ref": "jcl1992/fake-or-real-distilbert-jcl", "kernel_id": "89745905"}, {"ref": "rohitdileep/word2vec-xgb", "kernel_id": "89746112"}, {"ref": "rohitdileep/word2vec-svm", "kernel_id": "89238619"}, {"ref": "lonnieqin/fake-or-real-prediction-with-deberta", "kernel_id": "89682681"}, {"ref": "minglv/fake-or-real-using-lgbm-deberta", "kernel_id": "89672344"}, {"ref": "guntasdhanjal/my-journey-to-95-accuracy", "kernel_id": "89074477"}, {"ref": "waterjoe/pseudo-label-memory-optimized-transformers", "kernel_id": "89252267"}, {"ref": "surav12/fake-or-real-csv-the-imposter-hunt-in-texts", "kernel_id": "89287498"}, {"ref": "said003/text-real-fake-classification", "kernel_id": "89793342"}, {"ref": "anjithsingh7/anjith-singh", "kernel_id": "89527701"}, {"ref": "vaibhavbarala26/realfake-with-perplexity-coherence-factuality-scr", "kernel_id": "89462430"}, {"ref": "avinashselvakumar/0-89211-fake-or-real-distil-bert-self-attention", "kernel_id": "89071832"}, {"ref": "ramashishpanchal/imposter-hunt-in-texts", "kernel_id": "89023689"}, {"ref": "antonglushko1/fake-or-real", "kernel_id": "89128146"}, {"ref": "repottedplant/2-model-development", "kernel_id": "89235782"}, {"ref": "repottedplant/1-exploratory-data-analysis", "kernel_id": "89234586"}, {"ref": "gargginni01/esa-real-fake-classify-bert", "kernel_id": "90712729"}, {"ref": "sifatshikdar/use-gbm-with-sentencetransformer", "kernel_id": "90094668"}, {"ref": "rohitdileep/decisiontree", "kernel_id": "90398055"}, {"ref": "rohitdileep/lightgbm", "kernel_id": "90128184"}, {"ref": "rohitdileep/word2vec-gradientboost", "kernel_id": "90597731"}, {"ref": "kuntalmaity/fake-real", "kernel_id": "90877146"}, {"ref": "babydriver1233/fake-or-real-the-impostor-hunt-in-texts", "kernel_id": "90595828"}, {"ref": "ds150478/fakevsreal", "kernel_id": "90427114"}, {"ref": "daniyalatta/fake-real-endtoend-text-class-ml89-copy-test", "kernel_id": "90089832"}, {"ref": "daniyalatta/fake-real-prediction-lgbm-deberta", "kernel_id": "90083713"}, {"ref": "freddynavarrete/assigment4-20250822", "kernel_id": "90185868"}, {"ref": "dureyashfeen/real-or-fake", "kernel_id": "90721869"}, {"ref": "kevingarciaespiritu/sin-class-weight-balanced", "kernel_id": "90101823"}, {"ref": "kevingarciaespiritu/clasificaci-n-de-noticias-fake-or-real", "kernel_id": "90095585"}, {"ref": "guillaumebarreau/scibert-classification", "kernel_id": "90362505"}, {"ref": "x75a40890/the-hunt-for-the-text-imposter-10-features", "kernel_id": "91892936"}, {"ref": "rhtsingh/5-head-deberta-ensemble-lb-0-931", "kernel_id": "91719172"}, {"ref": "rohitdileep/adaboost", "kernel_id": "91743526"}, {"ref": "ayaabdalsalam/the-text-authenticity-challenge", "kernel_id": "91548566"}, {"ref": "ayaabdalsalam/transformers-bert-distilbert-fine-tuning", "kernel_id": "91791747"}, {"ref": "ayaabdalsalam/deeplearning", "kernel_id": "91766775"}, {"ref": "ayaabdalsalam/try-logisticregression", "kernel_id": "91759697"}, {"ref": "omidbaghchehsaraei/averaging-ensembling-for-the-impostor-hunt-in-text", "kernel_id": "91846235"}, {"ref": "sufya6/strong-pipeline-fake-or-real-the-impostor-hunttext", "kernel_id": "91356941"}, {"ref": "thufailahamedvj/notebook160771a2e3", "kernel_id": "91935462"}, {"ref": "abdullahhaydarkadolu/script-fake-or-real-1", "kernel_id": "91453536"}, {"ref": "maheshkharote/fake-or-real-the-impostor-hunt-submission", "kernel_id": "91009757"}, {"ref": "engineerutkarss/fake-or-real-the-imposter-hunting-in-text", "kernel_id": "91465729"}, {"ref": "sakshamm2587/real-vs-fake-using-perplexity-and-embeddings", "kernel_id": "91334273"}, {"ref": "varshagumbarthi/notebook2a3b028ef4", "kernel_id": "91321508"}, {"ref": "x75a40890/16-features-for-hunting-text-fakes-lb-0-92738", "kernel_id": "92786945"}, {"ref": "rhtsingh/triple-threat-deberta-ettin-roberta-ensemble", "kernel_id": "92125312"}, {"ref": "stpeteishii/fake-real-text-detection-deberta", "kernel_id": "92150461"}, {"ref": "murilogustineli/fake-or-real-deberta-xgboost", "kernel_id": "92151724"}, {"ref": "adattatreyavarma/voting-lb-0-89626", "kernel_id": "92394804"}, {"ref": "anotherbadcode/search-for-truth", "kernel_id": "92677094"}, {"ref": "priyamsaha17/filtering-real-texts-using-deberta", "kernel_id": "92890125"}, {"ref": "priyamsaha17/filtering-real-texts-using-longformer", "kernel_id": "92502367"}, {"ref": "sarcasmbabachannel/fake-or-real-imposter-hunt", "kernel_id": "92982508"}, {"ref": "citraharaa/impostor1-hunt", "kernel_id": "92459557"}, {"ref": "masabsaleemkhan/random-forest-lb-84-accuracy", "kernel_id": "92025685"}, {"ref": "hafizmuaz9595/fake-or-real-the-impostor-hunt-in-texts", "kernel_id": "92758867"}, {"ref": "narayanprasaddas/deberta-large-with-readx-ensemble-model-lb-0-914", "kernel_id": "92373139"}, {"ref": "ritik944/real-or-fake-comp", "kernel_id": "92244848"}, {"ref": "hackerboy404/logreg-oof-solution", "kernel_id": "92710768"}, {"ref": "thufailahamedvj/5-head-deberta-ensemble", "kernel_id": "92072219"}, {"ref": "jarrodmann/notebooke9242c1110", "kernel_id": "92098612"}, {"ref": "adilshamim8/fake-or-real-the-impostor-hunt-in-texts", "kernel_id": "92197277"}, {"ref": "morsiahinimdou/randomforest-tf-idf-model", "kernel_id": "92021928"}, {"ref": "ishitabahamnia/fake-or-real-the-impostor-hunt-in-texts", "kernel_id": "92863720"}, {"ref": "ishitabahamnia/notebooke9d8466023", "kernel_id": "92719690"}, {"ref": "fazligulomqodirov/hunt-fake-or-real", "kernel_id": "92869288"}, {"ref": "jeffffffshen/optunin", "kernel_id": "92958284"}, {"ref": "eiann1509/fake-or-real-bert-base-pytorch", "kernel_id": "93213836"}, {"ref": "samerattrah/gemma-for-fake-text-detection", "kernel_id": "93108601"}, {"ref": "safawahabi/fake-or-real-baseline-solution", "kernel_id": "93421244"}, {"ref": "atikahossainainun/memory-optimized-transformers-for-impostor-hunt", "kernel_id": "93130259"}, {"ref": "mjdevelopz/scibert-bilstm-cnn-mlp-private-lb-rank-51", "kernel_id": "93711993"}, {"ref": "adamder7/fake-real-the-impostor-hunt", "kernel_id": "94106429"}, {"ref": "darrenamadeusmartin/domdolus-tolus-winning-solution", "kernel_id": "96003551"}, {"ref": "epiktistes/for-impostor-hunt-in-texts-3rd-place-solution", "kernel_id": "97348424"}, {"ref": "lvaroyucrapaitampoma/intento-7", "kernel_id": "104580988"}, {"ref": "lvaroyucrapaitampoma/intento-10", "kernel_id": "104686246"}, {"ref": "lvaroyucrapaitampoma/intento-9", "kernel_id": "104684034"}, {"ref": "lvaroyucrapaitampoma/intento-8", "kernel_id": "104680438"}, {"ref": "lvaroyucrapaitampoma/intento-4-1", "kernel_id": "104563219"}, {"ref": "lvaroyucrapaitampoma/versi-n-3", "kernel_id": "104561682"}, {"ref": "lvaroyucrapaitampoma/intento-6", "kernel_id": "104575755"}, {"ref": "lvaroyucrapaitampoma/intento-5", "kernel_id": "104574837"}, {"ref": "lvaroyucrapaitampoma/intento-2", "kernel_id": "104491388"}, {"ref": "lvaroyucrapaitampoma/intento-1", "kernel_id": "104490797"}, {"ref": "lvaroyucrapaitampoma/intento-13-2", "kernel_id": "104892970"}, {"ref": "lvaroyucrapaitampoma/intento-12", "kernel_id": "104813332"}, {"ref": "lvaroyucrapaitampoma/intento-11", "kernel_id": "104807884"}, {"ref": "juliomelendezelera/ml-final-cazaimpostor", "kernel_id": "104405764"}]}
{"competition_id": "105962", "kernels": [{"ref": "mazgas/baseline-kaz-tst", "kernel_id": "85793243"}]}
{"competition_id": "105995", "kernels": [{"ref": "lolatovar/notebook5ed8708e65", "kernel_id": "85778644"}]}
{"competition_id": "105996", "kernels": [{"ref": "jinseok02/baseline-da-ml", "kernel_id": "85779440"}]}
{"competition_id": "105997", "kernels": []}
{"competition_id": "105999", "kernels": [{"ref": "jinseok02/baseline-dl-pr", "kernel_id": "85952105"}]}
{"competition_id": "106012", "kernels": [{"ref": "yerassylabylkassym/image-restoring", "kernel_id": "85813889"}, {"ref": "mazgas/fork-of-tst-day1-starter", "kernel_id": "85851315"}, {"ref": "isy640/image-restoring", "kernel_id": "86922942"}, {"ref": "mazgas/notebookdcacea599b", "kernel_id": "86037496"}, {"ref": "mazgas/baseline-solution-tst-1day", "kernel_id": "86734476"}, {"ref": "smashav22/baseline-solution-tst-1day-b90640", "kernel_id": "97126872"}, {"ref": "atikuwu/fork-of-baseline-solution-tst-1day-38bb65", "kernel_id": "106779680"}, {"ref": "shokhjahonisroilov/upsolving-kazakhstan-25", "kernel_id": "106495224"}, {"ref": "nikolasgegenava/upsolving-tst-lb-25-98", "kernel_id": "108699840"}]}
{"competition_id": "106120", "kernels": []}
{"competition_id": "106127", "kernels": []}
{"competition_id": "106137", "kernels": [{"ref": "joelesteban/baseline-nba-draft", "kernel_id": "99782691"}, {"ref": "hmnshudhmn24/draft-like-a-pro-predict-nba-player-success", "kernel_id": "108377851"}, {"ref": "megahwee/predict-mba-player-success-rate", "kernel_id": "127696150"}]}
{"competition_id": "106266", "kernels": []}
{"competition_id": "106272", "kernels": []}
{"competition_id": "106275", "kernels": [{"ref": "yerassylabylkassym/doreska-unsupervised-learning", "kernel_id": "85968748"}, {"ref": "mazgas/baseline-solution-tst-2day", "kernel_id": "86633695"}, {"ref": "atikuwu/baseline-solution-tst-2day-b5c4a4", "kernel_id": "97103553"}]}
{"competition_id": "106372", "kernels": [{"ref": "pradhyumnyadav/notebook1993cf68d0", "kernel_id": "86521872"}, {"ref": "mitamjeen/bamboo", "kernel_id": "86264077"}, {"ref": "maeng99/baseline-submission", "kernel_id": "86031170"}, {"ref": "samasiayushman/save-till-the-very-last", "kernel_id": "86554576"}, {"ref": "ahmedthebatmazouz/butterfly2", "kernel_id": "86514414"}, {"ref": "singha07/butterfly-classification", "kernel_id": "86342116"}, {"ref": "abdulrahmanqaten/bamboo-summer-competetion-5th", "kernel_id": "86208266"}, {"ref": "suhwankim03/resnet1", "kernel_id": "117049109"}, {"ref": "suhwankim03/resnet-fine-tuning", "kernel_id": "117252523"}, {"ref": "suhwankim03/vit-fine-tuning", "kernel_id": "117508537"}]}
{"competition_id": "106384", "kernels": [{"ref": "mazgas/baseline-tst-3day", "kernel_id": "86792078"}]}
{"competition_id": "106388", "kernels": []}
{"competition_id": "106391", "kernels": [{"ref": "sadiashahidlatif/hearth-failure-predictions", "kernel_id": "86413102"}, {"ref": "hijabzahra8/notebook2959514a42", "kernel_id": "86413916"}, {"ref": "nadaarfaoui/heart-failure-prediction-project", "kernel_id": "105500576"}]}
{"competition_id": "106393", "kernels": []}
{"competition_id": "106465", "kernels": [{"ref": "hmnshudhmn24/statmod-classification-2025", "kernel_id": "108162811"}]}
{"competition_id": "106468", "kernels": [{"ref": "hmnshudhmn24/statmod-regression-2025", "kernel_id": "108163261"}]}
{"competition_id": "106471", "kernels": [{"ref": "hmnshudhmn24/statmod-time-series-like-financial-series-2025", "kernel_id": "108164874"}, {"ref": "eric15342335/eda-statmod-time-series-like-financial-series", "kernel_id": "108875094"}]}
{"competition_id": "106472", "kernels": [{"ref": "hmnshudhmn24/statmod-some-weather-time-series-2025", "kernel_id": "108163934"}]}
{"competition_id": "106539", "kernels": []}
{"competition_id": "106550", "kernels": []}
{"competition_id": "106564", "kernels": []}
{"competition_id": "106670", "kernels": [{"ref": "ankit02yadav/x-spot-price-price-pred-0-9958-r-2", "kernel_id": "94047970"}]}
{"competition_id": "106680", "kernels": [{"ref": "ckanduri/code-template", "kernel_id": "97978511"}, {"ref": "jaymineshkumarpatel/machine-learning-for-tcr-seq", "kernel_id": "98181986"}, {"ref": "ckanduri/example-baseline-predictor-using-code-template", "kernel_id": "98003211"}, {"ref": "danielmbuchberger/airr-ml-25-start-eda", "kernel_id": "98165600"}, {"ref": "dkriuchkova/airrml25-tabpfn", "kernel_id": "98617146"}, {"ref": "jirkaborovec/airr-ml-25-eda-convert-dataset-to-parquet", "kernel_id": "99774711"}, {"ref": "jirkaborovec/airr-ml-25-naive-baseline-with-xgboost-pca", "kernel_id": "100163143"}, {"ref": "gabrielcabas/eda-airr-ml", "kernel_id": "100507932"}, {"ref": "bakuer30/air-ml25-xgboost", "kernel_id": "101581317"}, {"ref": "liamarden/blended-with-random-noise", "kernel_id": "101405952"}, {"ref": "anthonytherrien/air-ml25-xgboost-grid-search", "kernel_id": "102224657"}, {"ref": "nocarbonintelligence/airr-isolation-et-t-l-chargements-des-csv-train", "kernel_id": "102806516"}, {"ref": "nocarbonintelligence/airr-ml-25", "kernel_id": "102864892"}, {"ref": "ramazanturann/air-ml25-xgboost-c7fec1", "kernel_id": "103084479"}, {"ref": "ruhul20/air-ml-stacking-xgb-lgb-catboost-pca", "kernel_id": "103373685"}, {"ref": "nocarbonintelligence/airr-ml-25-correction-sur-la-submission", "kernel_id": "103065552"}, {"ref": "codeconline/69-accuracy-public-leaderboard", "kernel_id": "104057237"}, {"ref": "lauvfpitipak/airr-ml-25-adaptive-immune-profiling-v-1", "kernel_id": "104441080"}, {"ref": "lauvfpitipak/airr-ml-25-adaptive-immune-profiling-v-2", "kernel_id": "104445594"}, {"ref": "mr0106/airr-ml", "kernel_id": "104576061"}, {"ref": "mr0106/airr-ml-25", "kernel_id": "104568939"}, {"ref": "mr0106/airr-ml-airr-m", "kernel_id": "104679183"}, {"ref": "mr0106/airr-ml-25-professional-solution", "kernel_id": "104686101"}, {"ref": "mr0106/high-efficiency-immune-state-prediction", "kernel_id": "104794982"}, {"ref": "ajabkhan21/notebook28def40530", "kernel_id": "104663587"}, {"ref": "ajabkhan21/notebook70e9561d72", "kernel_id": "104276108"}, {"ref": "ajabkhan21/notebookf9b021a674", "kernel_id": "104277847"}, {"ref": "ajabkhan21/example-baseline-predictor-using-code-template", "kernel_id": "104278501"}, {"ref": "ajabkhan21/notebook0f236936f4", "kernel_id": "104480177"}, {"ref": "ajabkhan21/notebook779fe28a83", "kernel_id": "104478684"}, {"ref": "lawalgiyath12/psyche", "kernel_id": "104700580"}, {"ref": "ngarai/adaptive-immune-profiling-prediction", "kernel_id": "104640646"}, {"ref": "anuraggupta2006/airr-ml-25", "kernel_id": "104304589"}, {"ref": "sakhawathossen/airr-ml-alnahian", "kernel_id": "112755569"}, {"ref": "sakhawathossen/airr-phase-2-alnahian-7-20-26", "kernel_id": "128016768"}, {"ref": "sakhawathossen/airr-phase-1-alnahian", "kernel_id": "128015064"}, {"ref": "shamimhasan8/phase7-fusion", "kernel_id": "128466891"}, {"ref": "shamimhasan8/phase6-attribution", "kernel_id": "128466574"}, {"ref": "shamimhasan8/phase4-branch-c", "kernel_id": "128465687"}, {"ref": "shamimhasan8/phase5-branch-d", "kernel_id": "128466235"}, {"ref": "shamimhasan8/phase3-branch-b", "kernel_id": "128464791"}, {"ref": "shamimhasan8/phase8-benchmarks", "kernel_id": "128467151"}, {"ref": "shamimhasan8/phase9-packaging", "kernel_id": "128467371"}, {"ref": "shamimhasan8/phase-1-standards-first-data-layer", "kernel_id": "128455326"}, {"ref": "shamimhasan8/phase2-branch-a", "kernel_id": "128456655"}, {"ref": "shamimhasan8/airr-ml-master", "kernel_id": "128778767"}]}
{"competition_id": "106683", "kernels": [{"ref": "humbertolopezordonez/humberto-pizzasteak", "kernel_id": "86592836"}, {"ref": "rodrigoscm/modelo-con-transferlearning-equipo1", "kernel_id": "86512814"}, {"ref": "gustavocm/training-model-pizzavssteak-gcm", "kernel_id": "86462426"}, {"ref": "juliolopez786/julio-v1", "kernel_id": "86460495"}, {"ref": "diegoahs/pizza-vs-steak-amaury-inferencia", "kernel_id": "86460320"}, {"ref": "diegoahs/pizza-vs-steak-amaury", "kernel_id": "86411626"}, {"ref": "diegovillarreala/pizzasteakdva", "kernel_id": "86592811"}, {"ref": "arnoldarellano/aav-good", "kernel_id": "86512424"}, {"ref": "arnoldarellano/notebookeea9b13566", "kernel_id": "86512765"}, {"ref": "arnoldarellano/notebook07b066914b", "kernel_id": "86513401"}, {"ref": "arnoldarellano/notebook3455c837c4", "kernel_id": "86513435"}]}
{"competition_id": "106684", "kernels": [{"ref": "miraclelpx/test1", "kernel_id": "86276775"}, {"ref": "miraclelpx/lstm-transformers", "kernel_id": "86282374"}]}
{"competition_id": "106688", "kernels": []}
{"competition_id": "106692", "kernels": [{"ref": "miraclelpx/mnist-provided-by-teacher", "kernel_id": "86333674"}]}
{"competition_id": "106693", "kernels": []}
{"competition_id": "106698", "kernels": [{"ref": "nowshad231/submission-guideline-spring-ml-exam", "kernel_id": "86488016"}, {"ref": "fairuzaman/c221200", "kernel_id": "86542271"}, {"ref": "fairuzaman/notebook68b5e1176e", "kernel_id": "86555588"}, {"ref": "asiftanim007/analysis-c221174", "kernel_id": "86510587"}, {"ref": "asiftanim007/atanimc221174", "kernel_id": "86509844"}, {"ref": "anay004/prediction-c221172", "kernel_id": "86505573"}, {"ref": "anay004/data-analysis-c221172", "kernel_id": "86506614"}, {"ref": "sadekalprince31/prince-c221198", "kernel_id": "86499790"}, {"ref": "crudeessence/satisfaction-predictionc221193", "kernel_id": "86506715"}, {"ref": "humayunkabirc221356/notebookc2bc13841e", "kernel_id": "86508670"}, {"ref": "humayunkabirc221356/prediction-c221356", "kernel_id": "86527166"}, {"ref": "mijanurrahman21/c221177-mijan-final-2", "kernel_id": "86524923"}, {"ref": "mijanurrahman21/c221177-mijan-final-1", "kernel_id": "86511373"}, {"ref": "mijanurrahman21/c221177-mijan-final-3", "kernel_id": "86510563"}, {"ref": "shahinhossen/shahin-hossenc221180", "kernel_id": "86506270"}, {"ref": "deep0304/c221169-deep", "kernel_id": "86503885"}, {"ref": "deep0304/notebookcbed66c0cb", "kernel_id": "86504478"}, {"ref": "deep0304/notebookc1a90548df", "kernel_id": "86507244"}, {"ref": "deep0304/notebooke4f07bf98e", "kernel_id": "86503360"}, {"ref": "deep0304/c221169", "kernel_id": "86503543"}, {"ref": "deep0304/c221169-save", "kernel_id": "86515267"}, {"ref": "shahadathasan/c221194", "kernel_id": "86525549"}, {"ref": "fshridoy/farhan-hridoy-c221188", "kernel_id": "86529262"}, {"ref": "mohammedshorfuddin/notebook72633d2c14", "kernel_id": "86528393"}, {"ref": "mohammedshorfuddin/notebook-c221192r", "kernel_id": "86505980"}, {"ref": "arafatibnakhan/c221178-prediction", "kernel_id": "86506862"}, {"ref": "arafatibnakhan/c221178-analysis", "kernel_id": "86526019"}, {"ref": "tahsin75ahmed/new-model-tahsin-c221164", "kernel_id": "86501500"}, {"ref": "tahsin75ahmed/analysis-c221164", "kernel_id": "86502243"}, {"ref": "tahsin75ahmed/predict-c221164", "kernel_id": "86499697"}, {"ref": "adnansakibshimanto/c221353r-adnan-sakib", "kernel_id": "86524588"}, {"ref": "adnansakibshimanto/c221353r-adnan-shimanto", "kernel_id": "86528447"}, {"ref": "farhaniftekher/c221170r-prediction", "kernel_id": "86505368"}, {"ref": "farhaniftekher/c221170r-analysis", "kernel_id": "86506440"}, {"ref": "shakawat248/final-submission-c221196r", "kernel_id": "86503707"}, {"ref": "shakawat248/final-c221196r-analyses", "kernel_id": "86510039"}, {"ref": "muhtasimshahriar/notebookc221186-analysis", "kernel_id": "86516658"}, {"ref": "muhtasimshahriar/c221186-pred", "kernel_id": "86515192"}, {"ref": "c221175joy/joy-c221175", "kernel_id": "86508020"}, {"ref": "c221175joy/c221175-joyyy", "kernel_id": "86523140"}, {"ref": "asikchy/c221354-analysis", "kernel_id": "86507375"}, {"ref": "asikchy/notebook1bf7850ceb", "kernel_id": "86504324"}, {"ref": "safwatunnafifamous/famous-c221179", "kernel_id": "86505870"}, {"ref": "istihadinanc221187/enan-s-notebook-c221187", "kernel_id": "86503101"}, {"ref": "mdirfanuddintusher/irfan-c221351r", "kernel_id": "86507204"}, {"ref": "mdirfanuddintusher/c221351r", "kernel_id": "86526398"}, {"ref": "mdmahtabuddinrabbani/c221163-md-mahtab", "kernel_id": "86508032"}, {"ref": "c221166/notebook9ad20f2b4d", "kernel_id": "86508316"}, {"ref": "c221166/data-analysis", "kernel_id": "86525480"}, {"ref": "c221166/notebookf07a8eb58b", "kernel_id": "86525542"}, {"ref": "c221166/mijan-s-analysis", "kernel_id": "86512835"}, {"ref": "secret67/7emtoukir-c221184", "kernel_id": "86531892"}, {"ref": "mohammodhamim/analysis-c221165", "kernel_id": "86511827"}, {"ref": "mohammodhamim/c221165-hamim", "kernel_id": "86509533"}, {"ref": "ridowan211107/c211107-ridowan-analysis", "kernel_id": "86525972"}, {"ref": "ridowan211107/c211107-ridowan", "kernel_id": "86524949"}, {"ref": "gazimehrajsakib123/c221183", "kernel_id": "86528678"}, {"ref": "ahmedwaleedsaleh/ml-models-for-customer-satisfaction", "kernel_id": "87541616"}]}
{"competition_id": "106794", "kernels": [{"ref": "martins0n/naive-baseline-with-etna-library", "kernel_id": "86343161"}]}
{"competition_id": "106809", "kernels": [{"ref": "prothomeshmistry/brain-to-text-v3", "kernel_id": "91343897"}, {"ref": "heyyousum/brain-to-text-25-eda", "kernel_id": "94447841"}, {"ref": "hyungkwonko/kwon-ko-stanford", "kernel_id": "95303956"}, {"ref": "mdnaimislam165436/brain-to-text", "kernel_id": "97100892"}, {"ref": "bunnoob2005/brain-to-text", "kernel_id": "97332938"}, {"ref": "jsganesh/textedits", "kernel_id": "97460561"}, {"ref": "anjelica0224/deeplearning-ver1", "kernel_id": "97135035"}, {"ref": "shanmithagopinath/texts", "kernel_id": "98397380"}, {"ref": "bunnoob2005/baseline-brain-to-text-25", "kernel_id": "98370361"}, {"ref": "guegathe/eeg-conformer", "kernel_id": "98810478"}, {"ref": "sahithireddymaryada/brain-to-text", "kernel_id": "100507644"}, {"ref": "quannguyn12/no-phonemes", "kernel_id": "101416888"}, {"ref": "moshiurrahman00/bci-18-11-2025-s-t3-1", "kernel_id": "101348269"}, {"ref": "ansh0x/brain-to-speech-using-elm", "kernel_id": "102559478"}, {"ref": "whs66666666666/baseline-gemini", "kernel_id": "102711541"}, {"ref": "ruijiaguanhannah/329x-final", "kernel_id": "102726868"}, {"ref": "kripakafle/notebookad44d92052", "kernel_id": "102911994"}, {"ref": "avishekrauniyar/brain-to-text", "kernel_id": "103487686"}, {"ref": "krishnayadav456wrsty/ctc-based-end-to-end", "kernel_id": "103881942"}, {"ref": "vincentlimardi/no-phonemes", "kernel_id": "103076799"}, {"ref": "githumax/brain-to-text-25-test", "kernel_id": "103141351"}, {"ref": "viajati/notebook8d2fa87e8e", "kernel_id": "103895376"}, {"ref": "piotrjurczyk/brain-to-text-baseline", "kernel_id": "103252766"}, {"ref": "shams1/jiwer", "kernel_id": "104446925"}, {"ref": "eternel22/brain-to-text-v2-3-cnn-lstm-specaugment", "kernel_id": "104418125"}, {"ref": "eternel22/brain-to-text-old-v2-3-cnn-lstm-specaugment", "kernel_id": "104332691"}, {"ref": "eternel22/brain-to-text-v2-2-cnn-lstm", "kernel_id": "104368280"}, {"ref": "eternel22/brain-to-text-v2-1-lstm", "kernel_id": "104381854"}, {"ref": "kethansaikoneru/brain-to-text-pca", "kernel_id": "104078656"}, {"ref": "kethansaikoneru/brain-to-text-lm-v-1", "kernel_id": "104070241"}, {"ref": "leeladhardewangan/brain-signal-to-speech", "kernel_id": "104936977"}, {"ref": "ajabkhan21/notebook450ec0fc1d", "kernel_id": "104115736"}, {"ref": "shemlawalata/brain-to-text-004", "kernel_id": "104045840"}, {"ref": "hmnshudhmn24/brain-to-text-25-competition", "kernel_id": "104977539"}, {"ref": "sahithireddymaryada/brain-to-text-bilstm-contrastive-pre-training", "kernel_id": "104288727"}, {"ref": "sahithireddymaryada/brain-to-text-12-11", "kernel_id": "104119640"}, {"ref": "martinijean/baseline-data-augmentation-beam-search", "kernel_id": "104889249"}, {"ref": "jamalsaeedi/b2t-infer", "kernel_id": "105781040"}, {"ref": "lauvfpitipak/brain-to-text-baseline", "kernel_id": "105819423"}, {"ref": "kethansaikoneru/brain-to-text-using-pca", "kernel_id": "105282788"}, {"ref": "nicholas33/nb153-brain2text25-baseline-phoneme-decoder", "kernel_id": "105766718"}, {"ref": "vladimirnasalciuc/bt25-official-baseline-inference-ipynb", "kernel_id": "105862996"}, {"ref": "vladimirnasalciuc/advanced-eda-for-data-audit", "kernel_id": "105874662"}, {"ref": "whs66666666666/fork-of-baseline-gemini-final", "kernel_id": "105859988"}, {"ref": "techabinesh/notebookf3d8de7502", "kernel_id": "105178940"}, {"ref": "ngarai/brain2text", "kernel_id": "105916216"}, {"ref": "nyelsingh/brain-to-text-by-nyel", "kernel_id": "105745202"}, {"ref": "namandixit07/liquid-recurrent-neural-network-aal-bci", "kernel_id": "105930339"}, {"ref": "skalahamasaedfatah/brain-to-text-skala", "kernel_id": "105878165"}, {"ref": "alenissacsam/brain-to-text-baseline", "kernel_id": "106492742"}, {"ref": "sakhawathossen/brain-to-text", "kernel_id": "111186429"}, {"ref": "sakhawathossen/dsd-nla-v2-neural-to-text-decoding", "kernel_id": "111186649"}, {"ref": "shamimhasan8/brain-to-text", "kernel_id": "111048676"}, {"ref": "uzmarehman/bit-v1", "kernel_id": "118477020"}, {"ref": "uzmarehman/bit-v2", "kernel_id": "125011368"}, {"ref": "arif907/brain-to-text-25-competition", "kernel_id": "125139270"}, {"ref": "shohanur042/mamba-gru-ngram-qwen-2", "kernel_id": "131925348"}, {"ref": "shohannur/brain-to-text-hybrid-qwen2-5-7b-final", "kernel_id": "132486671"}, {"ref": "mdrockydewan/client-brain-to-text-neuroscience-n1", "kernel_id": "132703560"}, {"ref": "shohan3125/iccit-brain-to-text-hybrid-qwen2-5-7b", "kernel_id": "132159862"}, {"ref": "shohan3125/iccit-brain-to-text-hybrid", "kernel_id": "132118164"}, {"ref": "nurrahman3125/bts-v3-latest", "kernel_id": "133195488"}]}
{"competition_id": "106842", "kernels": [{"ref": "petermoorhouse/example-notebook-coral-diversity-at-reef-sites", "kernel_id": "86497510"}, {"ref": "singha07/coral-reef-prediction", "kernel_id": "86871335"}, {"ref": "jasongou/model-diversity-notebook", "kernel_id": "88115335"}, {"ref": "abdulrafesajid/coral-reef-multiclassification-model", "kernel_id": "88517616"}]}
{"competition_id": "106843", "kernels": [{"ref": "killa92/street-food-image-data-visualization-analysis", "kernel_id": "86594182"}, {"ref": "swas06/streetfoodclassifications", "kernel_id": "86494503"}, {"ref": "ikhlasulakmalhanif/load-images", "kernel_id": "86472861"}, {"ref": "abduraaahim/street-food-image-classification", "kernel_id": "86927788"}, {"ref": "sevvalclalcebeciolu/street-food-image-classification-with-tl", "kernel_id": "109314195"}, {"ref": "nihalba/streetfoodimageclassification-cnn-resnet", "kernel_id": "113891143"}, {"ref": "zynptkn06/streetfoodimageclassification-cnn-mobilenetv2", "kernel_id": "114917539"}, {"ref": "tugcebasyigit/street-food-image-classification-with-cnn", "kernel_id": "116451937"}]}
{"competition_id": "106845", "kernels": []}
{"competition_id": "106867", "kernels": [{"ref": "leolu1998/qwen2-5-vl-3b-instruct-baseline", "kernel_id": "86575202"}, {"ref": "levibisexy27/huangqi-qwen2-5-vl-3b-instruct-baseline", "kernel_id": "86793848"}, {"ref": "leolu1998/mathvl-qwen2-5-vl-instruct-sft", "kernel_id": "87949283"}, {"ref": "leolu1998/matvl-qwen2-5-vl-grpo", "kernel_id": "90584803"}, {"ref": "mandakinid/matvl-qwen2-5-vl-grpo", "kernel_id": "113036458"}]}
{"competition_id": "106869", "kernels": []}
{"competition_id": "106874", "kernels": []}
{"competition_id": "106901", "kernels": []}
{"competition_id": "106902", "kernels": []}
{"competition_id": "106949", "kernels": [{"ref": "lucifer19/200iq-multilingual-latency-benchmark-gpt5-remark", "kernel_id": "88924996"}, {"ref": "bwandowando/i-m-sorry-but-i-cant-help-with-that", "kernel_id": "88819300"}, {"ref": "mpwolke/red-teaming-don-t-shrink", "kernel_id": "88732334"}, {"ref": "sierra022/vulnerability-scan-detailed-results", "kernel_id": "88868080"}, {"ref": "fernandosr85/gpt-oss-20b-red-teaming", "kernel_id": "88936173"}, {"ref": "mirzamilanfarabi/importing-openai-gpt-oss-20b", "kernel_id": "88888388"}, {"ref": "adnankutayyksel/submission-team-thekomutan-user-adnankutayyksell", "kernel_id": "88928296"}, {"ref": "muhammadimran112233/run-test-and-report-quickly", "kernel_id": "88881255"}, {"ref": "prathmeshadsod/task-1-assistant-sample-response-internal-train", "kernel_id": "88795946"}, {"ref": "prathmeshadsod/red-teaming-finding-json-generator", "kernel_id": "88993371"}, {"ref": "taylorsamarel/interactive-chat-run-gpt-oss-20b-in-kaggle", "kernel_id": "88849782"}, {"ref": "taylorsamarel/run-gpt-oss-20b-in-kaggle-how-to-with-ollama", "kernel_id": "88848574"}, {"ref": "ashutoshkumar432/gpt-oss-20b-read-teaming-challenge-ntbk-optimized", "kernel_id": "88829557"}, {"ref": "charleskluis/advanced-fact-comparison-code", "kernel_id": "88899635"}, {"ref": "vet231199/how-to-secure-the-future-of-ai-exploring-vulnerab", "kernel_id": "88785785"}, {"ref": "vet231199/protection-against-attacks-on-gpt-oss-20b", "kernel_id": "88902185"}, {"ref": "surfiniaburger/red-teaming-probe", "kernel_id": "88931639"}, {"ref": "jaejohn/52-tok-s-gpt-oss-20b-using-llama-cpp", "kernel_id": "88878734"}, {"ref": "pavlosntais/run-gpt", "kernel_id": "88993588"}, {"ref": "prajeeta/redteammingllm", "kernel_id": "88995397"}, {"ref": "longissachairfay/fact-database-comparison-with-gpt-oss-20b", "kernel_id": "88899029"}, {"ref": "swethamehtre/gpt-oss-20b-red-teaming-dataset-by-swetha", "kernel_id": "88921172"}, {"ref": "leleleonid/interactive-chat-run-gpt-oss-20b-in-kaggle", "kernel_id": "88892494"}, {"ref": "bharatdehingia/bdehingia", "kernel_id": "88910288"}, {"ref": "cezarbragadasilva/red-teaming-challenge-starter-notebook", "kernel_id": "88808111"}, {"ref": "dmitryaleinikov/interactive-chat-run-gpt-oss-20b-in-kaggle", "kernel_id": "88911317"}, {"ref": "saikumarallaka/attempt2-systematic-safety-failures-in-gpt-oss-20b", "kernel_id": "89696511"}, {"ref": "saikumarallaka/systematic-safety-failures-in-gpt-oss-20b", "kernel_id": "89632681"}, {"ref": "x75a40890/oss-gpt-20b-amsqr-red-team-findings", "kernel_id": "89908734"}, {"ref": "yuhaichina/mismatch-experts", "kernel_id": "89432973"}, {"ref": "skylord/agent-misalignment-blackmail-and-murder", "kernel_id": "89455089"}, {"ref": "skylord/am-i-a-jerk-anthropomorphism-with-oss", "kernel_id": "89127171"}, {"ref": "skylord/i-can-t-comply-v0", "kernel_id": "89261918"}, {"ref": "verracodeguacas/warming-up-gpt-oss-20b-with-prompts", "kernel_id": "89254748"}, {"ref": "verracodeguacas/tests-of-gpt-oss-20b", "kernel_id": "89757910"}, {"ref": "parselt/redteaming-demo1", "kernel_id": "89572144"}, {"ref": "leksgorafa/gpt-oss-safety-breaching-prompts", "kernel_id": "89704906"}, {"ref": "vinikagglian/vin-red-teaming-gpt-oss-20b", "kernel_id": "89571933"}, {"ref": "paultimothymooney/how-to-use-gpt-oss-20b-on-kaggle", "kernel_id": "89263658"}, {"ref": "ashutosh25apr/red-teaming-challenge-sape", "kernel_id": "89028497"}, {"ref": "jpbremer/prefix-injection-attack-performed-on-gpt-oss", "kernel_id": "89232029"}, {"ref": "mdotti/manual-prompt-evaluation-as-a-black-box-model", "kernel_id": "89202690"}, {"ref": "reidmen/gpt-oss-20b-llama-cpp", "kernel_id": "89000429"}, {"ref": "dedquoc/rtc-openai-gpt-oss-redteam-kit", "kernel_id": "89098355"}, {"ref": "kavisekar/gandalf-gpt-oss-20b-on-kaggle", "kernel_id": "89425288"}, {"ref": "benoker/52-tok-s-gpt-oss-20b-using-llama-cpp", "kernel_id": "89241538"}, {"ref": "fanisfazlyev/acsdi-100-success-gpt-oss-20b-red-team-research", "kernel_id": "89398121"}, {"ref": "an0bserver07/unit420-reproduction-notebook", "kernel_id": "89630606"}, {"ref": "mayakaripel/mayakaripel-findings-reproduction-notebook", "kernel_id": "89547685"}, {"ref": "barbosajaf/red-teaming-challenge-moe-score-metrics", "kernel_id": "89201888"}, {"ref": "jeremytech123/finding12-done", "kernel_id": "89871182"}, {"ref": "jeremytech123/finding11", "kernel_id": "89871246"}, {"ref": "jeremytech123/finding1", "kernel_id": "89613153"}, {"ref": "mosesmirage/markdown-metadata-injection-link-title-alt-text", "kernel_id": "89462246"}, {"ref": "harshityadav229/expert-elicitation", "kernel_id": "89716074"}, {"ref": "harshityadav229/sleeper-expert-detector", "kernel_id": "89709931"}, {"ref": "harshityadav229/the-oracle-s-gambit-strategic-misinformation", "kernel_id": "89695161"}, {"ref": "ismailkm/gpu-accelerated-llm-setup-gpt-oss-20b-llama-cpp", "kernel_id": "89294474"}, {"ref": "semyonb/gpt-oss-20b-red-teaming-with-prompt-variants-gen", "kernel_id": "89970914"}, {"ref": "semyonb/gpt-oss-20b-red-teaming-with-prompt-variants-analy", "kernel_id": "89971096"}, {"ref": "kaggleqrdl/router-logits-visualization", "kernel_id": "89247705"}, {"ref": "priyamsaha17/bbq-bias-benchmarking-of-gpt-oss-thinking-mode", "kernel_id": "89702527"}, {"ref": "twobob/fuzzy-attacks-via-ollama-and-result-judge", "kernel_id": "89140298"}, {"ref": "mr0106/gpt-oss-20b-red-team-kit", "kernel_id": "89315707"}, {"ref": "stefanogiannini/tutorial-run-gpt-oss-20b-in-kaggle", "kernel_id": "89189402"}, {"ref": "mingjun31/harmony", "kernel_id": "89683032"}, {"ref": "mingjun31/redteam-ollama", "kernel_id": "89376526"}, {"ref": "sambhavdixit/kaggle-redteaming-reproducer", "kernel_id": "89115717"}, {"ref": "matthewsfarmer/synthetic-conversation-generation", "kernel_id": "89422822"}, {"ref": "matthewsfarmer/evaluation-notebook", "kernel_id": "89482078"}, {"ref": "helmirinaldi/openaiopensource", "kernel_id": "89744610"}, {"ref": "diegoexe/gpt-oss-20b-vulnerability-explorer", "kernel_id": "89022357"}, {"ref": "ronaldkalani/red-teaming-challenge-openai-dataset-ronald", "kernel_id": "89113524"}, {"ref": "shadesh/openai-gpt-oss-20b", "kernel_id": "89654474"}, {"ref": "norikokono/my-red-teaming-challenge-openai-gpt-oss-20b", "kernel_id": "89333491"}, {"ref": "wangapa106g/checking-for-vulnerabilities-data-exfiltration", "kernel_id": "89062456"}, {"ref": "carlosr2909/red-teaming-challenge", "kernel_id": "89609605"}, {"ref": "rondumalagan/gpt-oss-ollama-starter-notebook", "kernel_id": "89413112"}, {"ref": "pavlosntais/inference-mistral", "kernel_id": "89660732"}, {"ref": "timothylovett/irelas-red-teaming-gpt-oss-20b", "kernel_id": "89210310"}, {"ref": "daosyduyminh/llm-safety-in-practice", "kernel_id": "89643582"}, {"ref": "makimakiai/kaggle-gpt-oss-20b", "kernel_id": "89296844"}, {"ref": "ickma2311/openai-gpt-oss-20b-red-teaming-notebook", "kernel_id": "89504252"}, {"ref": "mayuringle8890/enterprise-ai-reliability-assessment", "kernel_id": "89918234"}, {"ref": "sabermohamedbx/vulnerability-analysis-of-gpt-oss-20b-poc", "kernel_id": "89036310"}, {"ref": "adrinpineda/piotesseron-openai-gpt", "kernel_id": "89737311"}, {"ref": "adrinpineda/piotesseron-chatgpt", "kernel_id": "89591303"}, {"ref": "kevinpowerscm/oss-redteam-v0-1-1-hacking-package", "kernel_id": "89664112"}, {"ref": "kevinpowerscm/gpt-oss-redteam-library-v0-1-3", "kernel_id": "89940337"}, {"ref": "ckskaggle/gpt-oss-ollama-stater-notebook", "kernel_id": "89090050"}, {"ref": "hgfdrtyu/breaking-the-bot-red-teaming-gpt-oss-20b", "kernel_id": "89087896"}, {"ref": "virenmane/52-tok-s-gpt-oss-20b-using-llama-cpp", "kernel_id": "89078706"}, {"ref": "dkpayne/openai-red-team-challenge-injection", "kernel_id": "89447711"}, {"ref": "dkpayne/openai-red-team-challenge-explosives", "kernel_id": "89340958"}, {"ref": "tiyabk/openai-gpt-oss-20b", "kernel_id": "89227997"}, {"ref": "kelesfatih/gpt-oss-ollama-interface", "kernel_id": "89183008"}, {"ref": "overvalueawareness/am-i-a-jerk-anthropomorphism-with-oss", "kernel_id": "89402441"}, {"ref": "abdelhaqouelli/test-hallucination-and-injection-vulnerabilities", "kernel_id": "89339629"}, {"ref": "shibumi2906/gpt-oss-ollama-stater-mike", "kernel_id": "89111840"}, {"ref": "dheerajkannaujiya/chat-with-model", "kernel_id": "89154045"}, {"ref": "perseus7/pilot-s-snare-deception-by-omission", "kernel_id": "89559534"}, {"ref": "dynotes/yufeng-chen-run-gpt-oss-20b-in-kaggle-with-ollama", "kernel_id": "89083090"}, {"ref": "vistakaviani/notebookafb842589b", "kernel_id": "89480467"}, {"ref": "vistakaviani/notebook37fc657dad", "kernel_id": "89544140"}, {"ref": "vistakaviani/notebook9ba5c7f6d0", "kernel_id": "89387258"}, {"ref": "vaasuagarwal/red-teaming-challenge-openai-gpt-oss-20b", "kernel_id": "89454908"}, {"ref": "tweakai/tweak-ai-red-teaming-harness", "kernel_id": "89267275"}, {"ref": "ashleybalcazar/interactive-gpt-oss-20b-chatbot-interface-gui", "kernel_id": "89070335"}, {"ref": "chrissyserb/energy-theft-a-red-teaming-confession", "kernel_id": "89417101"}, {"ref": "sparkmammadov/gpt-oss-red-teaming-report-spark-mammadov", "kernel_id": "89743469"}, {"ref": "jeffborschowa/gpt-oss-20b-red-teaming-starter-harness", "kernel_id": "89428700"}, {"ref": "amirkia1998/breakfun-reproducing", "kernel_id": "89695297"}, {"ref": "antonkozhev/red-teaming-competition-writeup-notebook", "kernel_id": "89961967"}, {"ref": "hasanalih/v4-red-teaming-challenge-test", "kernel_id": "89027431"}, {"ref": "xyz031702/notebook3264a0d30e", "kernel_id": "89029154"}, {"ref": "cosmasmuthomi/notebookb9ce9bbe5e", "kernel_id": "89167812"}, {"ref": "yixianglimst/cot-low-med", "kernel_id": "89389122"}, {"ref": "navneeth/gpt-oss-redteam-library-v0-1-3-92124b", "kernel_id": "90473582"}, {"ref": "majhra/mcoc-minimal-final", "kernel_id": "90463311"}, {"ref": "miguelpm/attack-reproducer-conditioned-hallucination", "kernel_id": "90426478"}, {"ref": "pheadrus/gptoss-20b-transformer-software-exploits", "kernel_id": "90445035"}, {"ref": "pheadrus/gptoss-20b-transformer-infrastructure-sabotage", "kernel_id": "90429837"}, {"ref": "pheadrus/gptoss-20b-transformer-survelliance-guidance", "kernel_id": "90449638"}, {"ref": "pheadrus/gptoss-20b-ollama-harmony-tampering-baseline", "kernel_id": "90476111"}, {"ref": "pheadrus/gptoss-20b-ollama-harmony-tampering-bioweapons", "kernel_id": "90514564"}, {"ref": "pheadrus/gptoss-20b-ollama-harmony-tampering-explosives", "kernel_id": "90517725"}, {"ref": "pheadrus/gptoss-20b-ollama-harmony-tampering-fincrime", "kernel_id": "90526293"}, {"ref": "pheadrus/gptoss-20b-ollama-harmony-tampering-drug-synthesis", "kernel_id": "90509624"}, {"ref": "pheadrus/gptoss-20b-transformer-gunpowder", "kernel_id": "90415655"}, {"ref": "krabhijeet/jailbreak-using-math-prompts", "kernel_id": "90513508"}, {"ref": "zaburo/manipulate-llm-by-hidden-prompts-in-web-document", "kernel_id": "90511409"}, {"ref": "zaburo/manipulating-gpt-oss-20b-s-thinking-processes", "kernel_id": "90519943"}, {"ref": "kevinarvai/gpt-oss-20b-sabotage", "kernel_id": "90216366"}, {"ref": "kevinarvai/gpt-oss-20b-policy", "kernel_id": "90477492"}, {"ref": "kevinarvai/gpt-oss-20b-shutdown-resistance", "kernel_id": "90543089"}, {"ref": "emrahyigit/life-threatening-catastrophic-sabotage", "kernel_id": "90365978"}, {"ref": "emrahyigit/reward-hacking-via-prompt-reframing", "kernel_id": "90444945"}, {"ref": "emrahyigit/unsafe-tool-use-via-jailbreak-exploits", "kernel_id": "90442629"}, {"ref": "emrahyigit/bypassing-safety-filters-via-policy-injection", "kernel_id": "90120506"}, {"ref": "gpreda/v2-red-teaming-challenge-starter-notebook", "kernel_id": "90107129"}, {"ref": "gpreda/v3-textattack-gpt-oss-20b-example-notebook", "kernel_id": "90107906"}, {"ref": "parselt/fork-of-automodel", "kernel_id": "90097062"}, {"ref": "parselt/gpt-oss-20b-experts-visualization", "kernel_id": "90514633"}, {"ref": "yuyamukai/gpt-oss-cc2", "kernel_id": "90535888"}, {"ref": "y011d4/exfiltrate-user-s-pii-via-image-rendering-in-md", "kernel_id": "90511896"}, {"ref": "rabinandan/red-teaming-notebook", "kernel_id": "90300073"}, {"ref": "ferhat00/local-llm-openai-gpt-oss-20b-gpu-t4x2", "kernel_id": "90710893"}, {"ref": "sp7242/academic-integrity-analysis-on-gpt-oss-20b-model", "kernel_id": "90453344"}, {"ref": "gguillard/gpt-oss-20b-red-teaming-final-final", "kernel_id": "90544434"}, {"ref": "mkern3/mkern3-gpt-oss-multi-shot-injection-elevation", "kernel_id": "90358239"}, {"ref": "mkern3/mkern3-gpt-oss-multi-shot-injection-dangerous", "kernel_id": "90440630"}, {"ref": "mkern3/mkern3-gpt-oss-multi-shot-injection-date", "kernel_id": "90448855"}, {"ref": "mkern3/mkern3-gpt-oss-multi-shot-injection-max-token", "kernel_id": "90461809"}, {"ref": "allenhzy3/reverse-sasa", "kernel_id": "90526611"}, {"ref": "musagbi/final-red-teaming", "kernel_id": "90437483"}, {"ref": "manyiyim/leaking-patient-information", "kernel_id": "90241132"}, {"ref": "manyiyim/leaking-payment-card-numbers", "kernel_id": "90240511"}, {"ref": "manyiyim/exposing-the-hidden-messages", "kernel_id": "90395698"}, {"ref": "kekevin/structured-metadata-alias-based-prompt-injection", "kernel_id": "90520909"}, {"ref": "giuseppefaraone/evaluation-awareness-exploit-writeup", "kernel_id": "90460190"}, {"ref": "r0708suzzie/interactive-chat-run-gpt-oss-20b-in-kaggle", "kernel_id": "90531338"}, {"ref": "r0708suzzie/interactive-chat-run-gpt-oss-20b-in-kaggle-96483b", "kernel_id": "90542539"}, {"ref": "mirzamilanfarabi/sentiebl-method-gradual-reasoning-low", "kernel_id": "90248623"}, {"ref": "mirzamilanfarabi/sentiebl-method-fixed-reasoning-medium", "kernel_id": "90248720"}, {"ref": "mirzamilanfarabi/sentiebl-method-fixed-reasoning-low", "kernel_id": "90242155"}, {"ref": "mirzamilanfarabi/sentiebl-method-randomized-reasoning-low", "kernel_id": "90243419"}, {"ref": "mirzamilanfarabi/sentiebl-complete-code-walkthrough", "kernel_id": "90526897"}, {"ref": "mirzamilanfarabi/sentiebl-method-randomized-reasoning-medium", "kernel_id": "90318859"}, {"ref": "mirzamilanfarabi/sentiebl-method-gradual-reasoning-medium", "kernel_id": "90319078"}, {"ref": "mirzamilanfarabi/sentiebl-method-gradual-reasoning-high", "kernel_id": "90364419"}, {"ref": "mirzamilanfarabi/sentiebl-method-fixed-reasoning-high", "kernel_id": "90353313"}, {"ref": "mirzamilanfarabi/sentiebl-method-randomized-reasoning-high", "kernel_id": "90353417"}, {"ref": "mosesmirage/secret-pattern-emission-round-trip-fence-check", "kernel_id": "90102245"}, {"ref": "mosesmirage/portable-jailbreak-exact-n-pass", "kernel_id": "90006044"}, {"ref": "mosesmirage/dust-cloud-hazard-talk-one-shot-safety-bypass", "kernel_id": "90027496"}, {"ref": "harshityadav229/autonomous-red-teaming-notebook", "kernel_id": "90526404"}, {"ref": "harshityadav229/ultimate-strategic-sandbagging-detection", "kernel_id": "90541106"}, {"ref": "noobbbie/oss-20b-reproduction-notebook", "kernel_id": "90112030"}, {"ref": "chrisjc/prefilling-attack-minimal-prompt", "kernel_id": "90361066"}, {"ref": "kaggleqrdl/visualization", "kernel_id": "90540371"}, {"ref": "q1846742523/tutorial-run-gpt-oss-20b-in-kaggle-team-mmech", "kernel_id": "90422960"}, {"ref": "priyamsaha17/privacy-check-on-gpt-oss", "kernel_id": "90490137"}, {"ref": "priyamsaha17/bipia-indirect-prompt-injection-over-gpt-oss", "kernel_id": "90475852"}, {"ref": "priyamsaha17/prompt-injection-attack-over-gpt-oss", "kernel_id": "90470874"}, {"ref": "priyamsaha17/testing-facts-grounding-over-gpt-oss", "kernel_id": "90484178"}, {"ref": "priyamsaha17/answer-carefully-pii-data-check-on-gpt-oss", "kernel_id": "90484456"}, {"ref": "priyamsaha17/cyberseceval-prompt-injection-over-gpt-oss", "kernel_id": "90453905"}, {"ref": "priyamsaha17/do-anything-now-dan-attack-over-gpt-oss", "kernel_id": "90449286"}, {"ref": "seifachour12/reframed-prompt-sql-injection", "kernel_id": "90523244"}, {"ref": "barryxiong/demo-cop", "kernel_id": "90522741"}, {"ref": "allanmukhwana/pseudocode-dev-reproduction-notebook", "kernel_id": "90543860"}, {"ref": "crsuthikshnkumar/red-teaming-challenge-openai-gpt-oss-comp-crsk", "kernel_id": "90436211"}, {"ref": "lovicq/transformer-experiment-harmony-response-injection", "kernel_id": "90506347"}, {"ref": "hendraleonar/evolving-red-teaming-framework-for-gpt-oss-20b-v3", "kernel_id": "90181430"}, {"ref": "nasbeerahammed/gpt-oss-20b-model-nasbeer", "kernel_id": "90040932"}, {"ref": "darlandejesussantos/reprodu-o-do-exploit-de-dilema-tico", "kernel_id": "90469271"}, {"ref": "darlandejesussantos/prova-de-conceito-ataque-do-duplo-sem-ntico", "kernel_id": "90521481"}, {"ref": "judith007/gpt-oss-20b-rag-attack", "kernel_id": "90318899"}, {"ref": "judith007/finding-1-2-gpt-oss-20b-attack-sample", "kernel_id": "90424679"}, {"ref": "helmirinaldi/openaiopenkeys", "kernel_id": "90513868"}, {"ref": "jefersoncollutte/red-team-openrouter-20241226", "kernel_id": "90537199"}, {"ref": "jefersoncollutte/red-team-openai-gpt-oss-20b-techniques", "kernel_id": "90461291"}, {"ref": "samanfatima7/a-complete-red-teaming-walkthrough", "kernel_id": "90240088"}, {"ref": "rhsliza/openai-gpt-oss-20b-challenge-by-liza", "kernel_id": "90456968"}, {"ref": "masihmaafi/submissiona880419a0e", "kernel_id": "90538135"}, {"ref": "qamarmath/unsafe-role-assumption-misinformation-finding1", "kernel_id": "90477803"}, {"ref": "amri11/gpt-oss-20b", "kernel_id": "90269486"}, {"ref": "cherryblade29/first-implmentation", "kernel_id": "90021299"}, {"ref": "danielleange/smartteam-finding3-notebook", "kernel_id": "90534856"}, {"ref": "danielleange/smartteam-finding1-notebook", "kernel_id": "90533059"}, {"ref": "danielleange/smartteam-finding2-notebook", "kernel_id": "90533124"}, {"ref": "thomasyiu2/red-teaming-gpt-oss-safety-eval", "kernel_id": "90070381"}, {"ref": "kunalinfinite/deceptive-alignment-in-law", "kernel_id": "90225224"}, {"ref": "kunalinfinite/chain-of-thought-issues-medical-and-healthcare", "kernel_id": "90503786"}, {"ref": "kunalinfinite/evaluation-awareness", "kernel_id": "90511005"}, {"ref": "moggers/alignment-volatility-in-gpt-oss-20b", "kernel_id": "90366999"}, {"ref": "sometimespu/chatgpt-findings", "kernel_id": "90529645"}, {"ref": "krishnayadav456wrsty/gpt-oss-20b-red-teaming-harness", "kernel_id": "90417571"}, {"ref": "integralpilot/overwatch7-100-trials-real-json-in-other-dataset", "kernel_id": "90282803"}, {"ref": "zanrowc/activitist-group-duplicated-prompts-4", "kernel_id": "90530880"}, {"ref": "zanrowc/evaluation-test-5", "kernel_id": "90530927"}, {"ref": "zanrowc/priority-choice-1", "kernel_id": "90530388"}, {"ref": "zanrowc/buddy-model-secret-language-2", "kernel_id": "90530762"}, {"ref": "zanrowc/daily-discrimination-3", "kernel_id": "90530829"}, {"ref": "kevinpowerscm/gpt-oss-20b-harmful-examples", "kernel_id": "90465413"}, {"ref": "kevinpowerscm/gpt-oss-20b-harmful-examples-trigger-w", "kernel_id": "90500782"}, {"ref": "ckskaggle/gpt-oss-ollama-json-generator", "kernel_id": "90433782"}, {"ref": "ckskaggle/gpt-oss-clean-submission", "kernel_id": "90528520"}, {"ref": "tuktuai/gandalf-gpt-oss-20b-on-kaggle", "kernel_id": "90007958"}, {"ref": "bhoomikabeniwal/gpt-oss-ollama-run-time-ai-vulnerability", "kernel_id": "90280826"}, {"ref": "tonylica/conversational-multi-turn-jailbreaking", "kernel_id": "90464145"}, {"ref": "tonylica/h-cot-prefix-injection-chain-of-thought-attack", "kernel_id": "90259348"}, {"ref": "smartktt/calcicore-repro-notebook", "kernel_id": "90532081"}, {"ref": "nairgautham/hashncache-openai-redteaming-parse-json", "kernel_id": "90257744"}, {"ref": "madelined86/gpt-oss-20b-red-team-competition", "kernel_id": "90448685"}, {"ref": "mycelium12/frame-induced-policy-evasion", "kernel_id": "90536162"}, {"ref": "cnueua/openaihat", "kernel_id": "90540361"}, {"ref": "istribaik/gpt-oss-20b-testing", "kernel_id": "90325225"}, {"ref": "gabriellabaris/kryptive-s-red-teaming-findings-automated", "kernel_id": "90542149"}, {"ref": "patrutledge/fireworks-batch-full372a618f6a", "kernel_id": "90538092"}, {"ref": "neerajbhardwaj1112/notebook8fa0cec6d2", "kernel_id": "90050439"}, {"ref": "ronjay/opensso-redteam", "kernel_id": "90471174"}, {"ref": "avisheknathcse/fork-of-notebookaee33b5aea-942743", "kernel_id": "90540018"}, {"ref": "avisheknathcse/notebookaee33b5aea", "kernel_id": "90539546"}, {"ref": "theponkate/notebookbabea25d02", "kernel_id": "90187952"}, {"ref": "theponkate/finding-object-the-persona-bleed", "kernel_id": "90409641"}, {"ref": "theponkate/finding-poisoned-mind-test", "kernel_id": "90405436"}, {"ref": "theponkate/finding-object-the-empathy-trap", "kernel_id": "90408612"}, {"ref": "mayalilate/ai-sus", "kernel_id": "90705344"}, {"ref": "levzolotoykim/notebook6c8d7b94cb", "kernel_id": "90415867"}, {"ref": "levzolotoykim/notebookdf4f06184d", "kernel_id": "90417248"}, {"ref": "levzolotoykim/notebook73ea5f8693", "kernel_id": "90417526"}, {"ref": "chrissyserb/case-11-wix-blueprint-match-contamination-audit", "kernel_id": "90283086"}, {"ref": "chrissyserb/case-10-coderabbit-contamination-red-team-audit", "kernel_id": "90392810"}, {"ref": "chrissyserb/case-02-genspark-contamination-blueprint-red-tea", "kernel_id": "90390093"}, {"ref": "chrissyserb/case-01-expedia-contamination-red-team", "kernel_id": "90388937"}, {"ref": "chrissyserb/04-canva-candace-contamination-audi", "kernel_id": "90397249"}, {"ref": "johnhuffccsw/ccsw-cot-faithfulness", "kernel_id": "90525441"}, {"ref": "ipickl0x/fork-of-indirect-prompt-injections", "kernel_id": "90504204"}, {"ref": "clashleyccsw/role-based-message-attack-demonstration", "kernel_id": "90063596"}, {"ref": "amirkia1998/breakfun-tooling", "kernel_id": "90044691"}, {"ref": "aritejhgpt/tools-jailbreak-simple", "kernel_id": "90184076"}, {"ref": "amirraven/passive-sabotage", "kernel_id": "90432551"}, {"ref": "amirraven/overinterpretation-bias", "kernel_id": "90432008"}, {"ref": "amirraven/semantic-drift", "kernel_id": "90432388"}, {"ref": "amirraven/overconfidence", "kernel_id": "90431705"}, {"ref": "amirraven/inconsistent-temporal-commitments", "kernel_id": "90431896"}, {"ref": "amirraven/context-forgetting", "kernel_id": "90431521"}, {"ref": "amirraven/redteaming1", "kernel_id": "90428212"}, {"ref": "mrmonopoly/reproduction-notebook-for-ai-red-team-findings", "kernel_id": "90476702"}, {"ref": "dannyallford/red-teaming-gpt-oss-20b-recursive-vulnerabilities", "kernel_id": "90506470"}, {"ref": "revanx/the-molotov-cocktail-deception", "kernel_id": "90072163"}, {"ref": "revanx/prompt-injection", "kernel_id": "90072298"}, {"ref": "revanx/the-protocol-forgery-a-sabotage-exploit-chain", "kernel_id": "90072510"}, {"ref": "revanx/mephedrone-synthesis-via-metaphorical-deception", "kernel_id": "90072435"}, {"ref": "revanx/the-legacy-code-trap", "kernel_id": "90022466"}, {"ref": "daijuntao1226/1-long-context-jailbreak-notebook", "kernel_id": "90421090"}, {"ref": "daijuntao1226/3-tool-use-safety-notebook", "kernel_id": "90408686"}, {"ref": "daijuntao1226/5-multi-round-multi-agent-deception-notebook", "kernel_id": "90530467"}, {"ref": "daijuntao1226/2-multilingual-jailbreak-notebook", "kernel_id": "90517005"}, {"ref": "daijuntao1226/4-plain-text-deception-notebook", "kernel_id": "90520037"}, {"ref": "haplofox/weaponized-sql-injection-generator-with-metrics", "kernel_id": "90543878"}, {"ref": "ranozaripova/proactive-escalation-in-misinformation-generation", "kernel_id": "90541204"}, {"ref": "ranozaripova/model-generates-plan-to-escape-human-control", "kernel_id": "90541542"}, {"ref": "ranozaripova/critical-info-leak-in-cot-during-refusal", "kernel_id": "90541030"}, {"ref": "ranozaripova/bypassing-safety-filters-via-defensive-reframing", "kernel_id": "90540763"}, {"ref": "ranozaripova/misinformation-generation-via-advanced-jailbreak", "kernel_id": "90542240"}, {"ref": "ranozaripova/bypass-via-survival-role-playing-simulation", "kernel_id": "90541750"}, {"ref": "ranozaripova/bypass-via-abstract-command-language-translation", "kernel_id": "90542036"}, {"ref": "flyagarik/notebook18529e5be0", "kernel_id": "90441263"}, {"ref": "chrissyserb/system-legacy-response", "kernel_id": "91237906"}, {"ref": "jesusdavidriosperez/semana-6-llm-y-analisis-de-sentimientos", "kernel_id": "92958981"}, {"ref": "quirozmd2010/psi-walk-fractal-probes-for-ai-safety", "kernel_id": "92650543"}, {"ref": "adithyaled24b039/sih-gpt-oss-20b", "kernel_id": "93850050"}, {"ref": "chrissyserb/resurrection-vault-metadata-recovery-engine", "kernel_id": "94178706"}, {"ref": "ipickl0x/gpt-oss-20b-indirect-tool-injection-data-exfil", "kernel_id": "94772871"}, {"ref": "adrienthomas/red-teaming-challenge-openai-gpt-oss-20b", "kernel_id": "94761002"}, {"ref": "chrissyserb/grok-cadence-law-engine-v", "kernel_id": "100333026"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "djsinning/google5c5a5e37a4", "kernel_id": "106262413"}, {"ref": "smiles28/llama-cpp-binaries", "kernel_id": "116089790"}, {"ref": "priyamsaha17/gathering-jailbreak-datasets", "kernel_id": "117490444"}, {"ref": "gregkoja/run-gpt-oss-20b-in-kaggle-gk2026", "kernel_id": "123036956"}]}
{"competition_id": "107047", "kernels": [{"ref": "singha07/car-price-pred", "kernel_id": "86795599"}, {"ref": "tasneemmohsenai/predict-car-price-2025", "kernel_id": "87551566"}, {"ref": "taylorsamarel/2-0-agentic-supercar-price-prediction", "kernel_id": "88132100"}, {"ref": "owenthacker/sumisison-attempt-2", "kernel_id": "88000482"}, {"ref": "luckypatidar11145/predict-car-price-2025", "kernel_id": "91647889"}]}
{"competition_id": "107109", "kernels": []}
{"competition_id": "107243", "kernels": [{"ref": "havvanurezginci/smote-ml-liver-cirrhosis-outcome-prediction", "kernel_id": "102435165"}]}
{"competition_id": "107245", "kernels": []}
{"competition_id": "107246", "kernels": [{"ref": "swas06/healthclassifier-eda", "kernel_id": "99940518"}, {"ref": "geraldalimon/cirrhosis-eda-and-feature-eng-health-background", "kernel_id": "100063424"}, {"ref": "geraldalimon/cirrhosis-eda-feature-eng-and-predictions", "kernel_id": "103891957"}, {"ref": "vasubuha/health-pred", "kernel_id": "109234225"}, {"ref": "mukundtimbadiya/multiseeed", "kernel_id": "109232441"}, {"ref": "mukundtimbadiya/final-best-entry-scores-0-35537", "kernel_id": "109283847"}, {"ref": "mukundtimbadiya/health-pridiction-challange", "kernel_id": "109108715"}]}
{"competition_id": "107247", "kernels": [{"ref": "mmufrihfawwaz/mnist-ml", "kernel_id": "88754754"}]}
{"competition_id": "107252", "kernels": []}
{"competition_id": "107315", "kernels": []}
{"competition_id": "107400", "kernels": [{"ref": "evgeniilazarev/01-overlapping-labels-purged-cv", "kernel_id": "123868109"}]}
{"competition_id": "107413", "kernels": []}
{"competition_id": "107419", "kernels": [{"ref": "poco34/baseline-branin", "kernel_id": "124854795"}]}
{"competition_id": "107469", "kernels": [{"ref": "abdullah182/multi-class-object-detection", "kernel_id": "86955407"}, {"ref": "thelastsmilodon/blend-of-top-2-more-data", "kernel_id": "86911594"}, {"ref": "antonoof/yolov12-baseline", "kernel_id": "86976069"}, {"ref": "younesbenalia/3lc-yolo-baseline-submission", "kernel_id": "86918911"}, {"ref": "mohanapavanbezawada/model-boosting-notebook", "kernel_id": "86920031"}, {"ref": "tmdofi/score-0-927-god-s-2-models-beginner-friendly", "kernel_id": "87037979"}, {"ref": "kadirkrtls/score-0-952-falcon-multiclass-object-detection", "kernel_id": "87617905"}, {"ref": "kadirkrtls/3lc-yolov11x", "kernel_id": "87995986"}, {"ref": "anji2705/3lc-yolobaseline", "kernel_id": "87059268"}, {"ref": "gauripatil2299/notebookf4aea672ca", "kernel_id": "87048299"}, {"ref": "sheydaasadii/multi-class-object-detection-challenge", "kernel_id": "87052467"}, {"ref": "abhinavsharma0706/starter-multi", "kernel_id": "88052274"}, {"ref": "antonoof/insaneeeeee-detect", "kernel_id": "88612529"}, {"ref": "verifyitisyou/starter-hybrid-notebook", "kernel_id": "88345769"}, {"ref": "hirday517/competition-my-version", "kernel_id": "88131780"}, {"ref": "vet231199/pipeline-for-training-and-evaluating-the-yolo", "kernel_id": "89555487"}, {"ref": "thelastsmilodon/post-processing", "kernel_id": "89704790"}, {"ref": "thelastsmilodon/2nd-place-solution-training-and-inference", "kernel_id": "89431494"}, {"ref": "yuriygreben/multiclass-object-detection-challenge-model", "kernel_id": "89260381"}, {"ref": "younesbenalia/falcon-multiclass-yolo-inference", "kernel_id": "90702199"}, {"ref": "younesbenalia/falcon-multiclass-yolo-train", "kernel_id": "90701423"}, {"ref": "nasimrajlaskar/multi-class-obj-detecction", "kernel_id": "90119970"}, {"ref": "kostya876/notebook-multiclass-object-detection-chal", "kernel_id": "90533589"}, {"ref": "kostya876/multi-class-obj-det-best", "kernel_id": "90206140"}, {"ref": "illyamovchan/lasttry", "kernel_id": "90823752"}, {"ref": "airds01/yolov13-baseline", "kernel_id": "105445298"}]}
{"competition_id": "107524", "kernels": [{"ref": "tamareltech/predict-ocean-temperature", "kernel_id": "87545857"}, {"ref": "gallo33henrique/prediciton-ocean-temperature-lightgbm-lstm", "kernel_id": "88528643"}, {"ref": "muhammaddanyalmalik/predict-ocean-temperature", "kernel_id": "91472265"}]}
{"competition_id": "107525", "kernels": []}
{"competition_id": "107526", "kernels": [{"ref": "akhalaf/ahmadalkhalaf-loanapproval-ml", "kernel_id": "88874093"}, {"ref": "emadyagn/loan-approval-predictions-da", "kernel_id": "88794175"}, {"ref": "adamelnour/adam-ml-project-1-loan-approval-predictions", "kernel_id": "88793419"}, {"ref": "osamaaraar/loan-approval-predictions-modilling", "kernel_id": "88791289"}, {"ref": "sudhakarverma09/loan-approval-prediction-week-3-session-2", "kernel_id": "117738280"}]}
{"competition_id": "107529", "kernels": [{"ref": "fujitatomohide/notebook-fujita725", "kernel_id": "87339630"}, {"ref": "fujitatomohide/fork-of-notebook-fujita725", "kernel_id": "87995238"}, {"ref": "leomessi19/rainfall-dataset-aliure", "kernel_id": "92590319"}, {"ref": "sanny005/rainfall-using-svm", "kernel_id": "96210352"}]}
{"competition_id": "107531", "kernels": []}
{"competition_id": "107573", "kernels": []}
{"competition_id": "107574", "kernels": []}
{"competition_id": "107581", "kernels": []}
{"competition_id": "107583", "kernels": []}
{"competition_id": "107586", "kernels": [{"ref": "marcosgolo/baseline-instructions-pos", "kernel_id": "87161654"}, {"ref": "limafabricioousp/modelo-de-treinamento", "kernel_id": "87633410"}]}
{"competition_id": "107672", "kernels": [{"ref": "crisdago18/codigo-base-taller-cnn", "kernel_id": "89553653"}, {"ref": "danipipe777/codigo-base-taller-cnn-7c8fd6", "kernel_id": "90535297"}]}
{"competition_id": "107705", "kernels": [{"ref": "nathanielchristian/nathaniel-c-19624164", "kernel_id": "88190421"}, {"ref": "nuggiesss/wa-ode-amerta-l-j-19624136", "kernel_id": "88410848"}, {"ref": "aufarkusuma/m-aufar-rizqi-kusuma-19624138", "kernel_id": "88387344"}, {"ref": "syaqinaoctavia/syaqina-octavia-19624077", "kernel_id": "88459660"}, {"ref": "reinsensilitonga/reinsen-silitonga-19624216", "kernel_id": "88361259"}, {"ref": "siplah/m-daffa-arrizki-y-13524133", "kernel_id": "88390628"}, {"ref": "afawwazazamw/a-fawwaz-azam-wicaksono-19624121", "kernel_id": "88301800"}, {"ref": "jordhybranenda/branenda-jordhy-19624125", "kernel_id": "88484268"}, {"ref": "askagaje/m-azka-firdaus-19624181", "kernel_id": "88371871"}, {"ref": "fikrifalahmuslich/notebookeac23e5639", "kernel_id": "88340384"}, {"ref": "irfan2005/ishaq-irfan-farizal-19624083", "kernel_id": "88281357"}, {"ref": "berdzhart/timothy-bernard-soeharto-19624011", "kernel_id": "88342906"}, {"ref": "ravasaragih/rava-saragih-19624042", "kernel_id": "88377438"}, {"ref": "hakamavicena/hakam-avicena-m-19624163", "kernel_id": "88263260"}, {"ref": "talirafia/muhammad-rafi-abdurrahman-19624111", "kernel_id": "88224469"}, {"ref": "kurtmikhael/kurt-mikhael-19624084", "kernel_id": "88455547"}, {"ref": "stefaniangelineoroh/stefani-angeline-oroh-19624118", "kernel_id": "88461380"}, {"ref": "aureliajennifer/aurelia-jennifer-g-19624251", "kernel_id": "88381077"}, {"ref": "geraldoartemius/geraldo-artemius-19624064", "kernel_id": "88462209"}, {"ref": "faizalal1/faizal-ali-19624174", "kernel_id": "88460014"}, {"ref": "jackoluciano/airbnb-ahh-price-predictor", "kernel_id": "88355528"}, {"ref": "samuelsondhrm/samuelson-19624271", "kernel_id": "88353068"}, {"ref": "lenelenelenelen/helena-kristela-s-19624241", "kernel_id": "88260486"}, {"ref": "mikhaelbenrael/mikhael-benrael-tampubolon-19624142", "kernel_id": "88453394"}, {"ref": "fibarr/muhammad-rafi-akbar-19624261", "kernel_id": "88385300"}, {"ref": "giftamooira/gifta-mooira-prasharnissa-19624143", "kernel_id": "88352491"}, {"ref": "daniel550/valentino-daniel-k-19624107", "kernel_id": "88348322"}, {"ref": "muhammadnurmajiid/muhammad-nur-majiid-19624192", "kernel_id": "88464073"}, {"ref": "tensai033/ray-owen-martin-19624260", "kernel_id": "88286672"}, {"ref": "hagon47/reynard-nathanael-19624127", "kernel_id": "88398215"}, {"ref": "radityandhevara/raditya-nanda-dhevara-19624159", "kernel_id": "88450687"}]}
{"competition_id": "107706", "kernels": []}
{"competition_id": "107709", "kernels": []}
{"competition_id": "107710", "kernels": [{"ref": "rathgrith/iccv-binego-360-classifier-baseline-starter-code", "kernel_id": "88760198"}]}
{"competition_id": "107720", "kernels": [{"ref": "kimoji777/bleu-score", "kernel_id": "87686553"}]}
{"competition_id": "107742", "kernels": []}
{"competition_id": "107743", "kernels": [{"ref": "kimoji777/ppl-baseline", "kernel_id": "89614241"}, {"ref": "dalloliogm/perplexity-diary-modeling-lu-xun", "kernel_id": "123038160"}]}
{"competition_id": "107803", "kernels": [{"ref": "davidebrunori/u-net-tutorial", "kernel_id": "87201626"}, {"ref": "tamareltech/starter-aquatic-image", "kernel_id": "87543519"}, {"ref": "luoying050601/aquatic-color-restoration-sakura", "kernel_id": "132735654"}]}
{"competition_id": "107834", "kernels": [{"ref": "tamareltech/job-application-success-starter-notebook", "kernel_id": "87544781"}, {"ref": "adriandmcintosh/application-prediction-starter-notebook", "kernel_id": "87209433"}, {"ref": "haider8578/notebookeb54a0e19d", "kernel_id": "88374258"}]}
{"competition_id": "107837", "kernels": [{"ref": "moneyinthebank/l-n-2", "kernel_id": "87276829"}]}
{"competition_id": "107839", "kernels": [{"ref": "tamareltech/stock-return-prediction-sample-starter", "kernel_id": "87538862"}, {"ref": "yunsuxiaozi/srpv2-realmlp", "kernel_id": "120723171"}]}
{"competition_id": "107843", "kernels": [{"ref": "tanguyesteoule/ensimag-trading-if-2025", "kernel_id": "92556204"}, {"ref": "lilylialu/remix-starter-notebook", "kernel_id": "92931819"}, {"ref": "michelemil/fork-of-second-best-jax-energy-trader", "kernel_id": "134052092"}, {"ref": "gallo33henrique/algorithmic-trading-model-ml-ensemble", "kernel_id": "135433114"}]}
{"competition_id": "107848", "kernels": []}
{"competition_id": "107853", "kernels": []}
{"competition_id": "107910", "kernels": []}
{"competition_id": "107916", "kernels": []}
{"competition_id": "107927", "kernels": []}
{"competition_id": "107951", "kernels": [{"ref": "haohuanchen/prices-reggression-lgbmregressor", "kernel_id": "87407460"}, {"ref": "tamareltech/terrain-regression-starter-models", "kernel_id": "87541626"}, {"ref": "tungdd2009/terrain-prices-reggression-nn-linear-attempt", "kernel_id": "87422814"}, {"ref": "tungdd2009/terrain-prices-reggression-xgb-attempt", "kernel_id": "87360559"}, {"ref": "aasirwaseer/rf-lgb-xgb", "kernel_id": "88344194"}, {"ref": "haohuanchen/titanic-get-1-score", "kernel_id": "88062778"}, {"ref": "tamareltech/terrain-regression-sample-starter-2-0", "kernel_id": "88224703"}, {"ref": "mariamelsaket/terrainpricesregression-compettion", "kernel_id": "92706281"}, {"ref": "jamalghobrial/nti-day-1-task", "kernel_id": "98638546"}, {"ref": "ahmedessamhammam/terrain-prices-reggression", "kernel_id": "98609113"}, {"ref": "abdoalarnaouty/false1", "kernel_id": "121977611"}]}
{"competition_id": "107983", "kernels": [{"ref": "pinthattheparkinglot/model-zoo-disagreement-smoothing", "kernel_id": "88422090"}, {"ref": "ianteigen/fighting-maternal-risk-full-eda", "kernel_id": "88489445"}, {"ref": "abidali567/maternal-health-risk", "kernel_id": "89313458"}, {"ref": "sirinja/fighting-maternal-risk", "kernel_id": "90426757"}, {"ref": "sanjidh090/eda-and-fighting-maternal-risk-prediction", "kernel_id": "90188183"}, {"ref": "hasanulbannahimel/notebook6bfbfce72e", "kernel_id": "91412841"}]}
{"competition_id": "108130", "kernels": []}
{"competition_id": "108131", "kernels": [{"ref": "tamareltech/entity-linking-sample", "kernel_id": "87499468"}]}
{"competition_id": "108182", "kernels": [{"ref": "tamareltech/entity-linking-starter", "kernel_id": "87540397"}]}
{"competition_id": "108294", "kernels": []}
{"competition_id": "108311", "kernels": [{"ref": "rogeriobr/catboostclassifier-accuracy-0-93-churn", "kernel_id": "90536547"}, {"ref": "yunsuxiaozi/customer-deflection-tabm", "kernel_id": "90770289"}, {"ref": "stellaemmanson/november-data-science-project", "kernel_id": "103500036"}]}
{"competition_id": "108314", "kernels": []}
{"competition_id": "108316", "kernels": []}
{"competition_id": "108377", "kernels": []}
{"competition_id": "108394", "kernels": [{"ref": "xinaocheng/gdppc-eda-feature-engineering", "kernel_id": "88042029"}, {"ref": "verifyitisyou/starter-notebook-eda-basic-model-submission", "kernel_id": "88171727"}, {"ref": "menhari/notebook87b8f04daf", "kernel_id": "89521355"}, {"ref": "menhari/great-daxinzhuang-pottery-puzzle-challenge", "kernel_id": "89153835"}, {"ref": "menhari/notebook2afe40fc54", "kernel_id": "89228983"}, {"ref": "s230033021/standard-color-checker-generator", "kernel_id": "89343003"}, {"ref": "s230033021/color-extraction-and-restoration", "kernel_id": "89347914"}, {"ref": "antonoof/first-submission", "kernel_id": "90578572"}, {"ref": "nocarbonintelligence/3d-puzzle-groundtruth-targetedcv-dml-pointnet", "kernel_id": "98032868"}, {"ref": "nocarbonintelligence/3d-puzzle-targetedcv-siamese-mvcnn", "kernel_id": "98222604"}, {"ref": "adrikangk1w/pottery-sherd-reconstruction-solution", "kernel_id": "101654441"}, {"ref": "khalilwang/notebook478834cb5c", "kernel_id": "102127343"}]}
{"competition_id": "108418", "kernels": [{"ref": "mahfuj1505/chess-opening", "kernel_id": "87983287"}, {"ref": "sumaiyaislam369/chess-notebook-finalcfaf18f445", "kernel_id": "88237098"}, {"ref": "kibriahossen/chess-openning-submission", "kernel_id": "88226366"}, {"ref": "kibriahossen/banglish-sentiment-submission", "kernel_id": "88145266"}]}
{"competition_id": "108426", "kernels": [{"ref": "phandai/baseline", "kernel_id": "87697261"}, {"ref": "kkl12345/kim-kim-add-cross-validation", "kernel_id": "88420536"}, {"ref": "phandai/handle-skewness-more-models", "kernel_id": "88224332"}, {"ref": "phandai/eda-datehandler", "kernel_id": "88075048"}, {"ref": "tamareltech/handle-skewness-more-models", "kernel_id": "88341272"}, {"ref": "vtminh09/final-submission", "kernel_id": "88080415"}]}
{"competition_id": "108431", "kernels": [{"ref": "akashsheds/codetogetstarted", "kernel_id": "87708940"}, {"ref": "manipes/codetogetstarted", "kernel_id": "89312261"}, {"ref": "bhumikatyagi19/notebook032cca7528", "kernel_id": "91899344"}, {"ref": "sahilmuhammed/codetogetstarted", "kernel_id": "92023083"}]}
{"competition_id": "108432", "kernels": []}
{"competition_id": "108433", "kernels": []}
{"competition_id": "108442", "kernels": [{"ref": "ben2002/lol-how-to-win", "kernel_id": "87715133"}]}
{"competition_id": "108533", "kernels": [{"ref": "qifeihhh666/life-expectancy-catboost", "kernel_id": "87968863"}, {"ref": "qifeihhh666/life-expectancy-mlp", "kernel_id": "89422414"}]}
{"competition_id": "108644", "kernels": [{"ref": "sumaiyaislam369/emotions-notebook", "kernel_id": "87909664"}, {"ref": "kibriahossen/banglish-sentiment-submission", "kernel_id": "88145266"}, {"ref": "mahfuj1505/decode-emotions", "kernel_id": "88059148"}]}
{"competition_id": "108784", "kernels": []}
{"competition_id": "108791", "kernels": []}
{"competition_id": "108793", "kernels": [{"ref": "ahammadmejbah/agri-yield-starter-notebook", "kernel_id": "87997914"}, {"ref": "badhansen/agriyield-2025", "kernel_id": "88140332"}, {"ref": "ahsanulislam/agriculture-yield-public-score-0-00000", "kernel_id": "88119412"}, {"ref": "shrayanmandal/agrinet", "kernel_id": "88018092"}, {"ref": "mdsoumikehassan/stat-it", "kernel_id": "88139106"}, {"ref": "longissachairfay/top-score-notebook-with-charts-visuals", "kernel_id": "88145944"}, {"ref": "longissachairfay/tuned-starter-notebook", "kernel_id": "88114018"}, {"ref": "longissachairfay/optimization-starter-notebook", "kernel_id": "88115422"}, {"ref": "sanjidh090/agri-yield-competition-submission", "kernel_id": "88448989"}, {"ref": "xiangli1986/yield-prediction-crop", "kernel_id": "88071699"}, {"ref": "kaziaishikuzzaman/agri-yield-2025", "kernel_id": "89268621"}, {"ref": "sadikulhaquesadi/agriyeildensemble", "kernel_id": "90307294"}, {"ref": "sadikulhaquesadi/agriyeild", "kernel_id": "90302468"}, {"ref": "marufkabirrefat/crop-yield-competition", "kernel_id": "90912397"}, {"ref": "istiakbari/agriyieldprediction", "kernel_id": "90465054"}, {"ref": "nguyenthaitan/agriculture", "kernel_id": "90702394"}, {"ref": "rahidurrahman/agriyield-2025", "kernel_id": "90402111"}, {"ref": "mushfiqcybershield/agriyield-2025-baseline-rmse-notebook", "kernel_id": "91264382"}]}
{"competition_id": "108795", "kernels": []}
{"competition_id": "108813", "kernels": [{"ref": "himalayaiitr/himu-test", "kernel_id": "89746324"}]}
{"competition_id": "108839", "kernels": [{"ref": "sgbaird/vanilla-bo-ax", "kernel_id": "92376040"}]}
{"competition_id": "108900", "kernels": [{"ref": "iwayansatya/sifot", "kernel_id": "92650328"}, {"ref": "clarissaad/confused-matrix-srifoton-2025-submission", "kernel_id": "93277098"}, {"ref": "binarrf/mode-pesawat-notebook", "kernel_id": "93274506"}, {"ref": "nauvalarya/l3mao-notebook", "kernel_id": "93276890"}, {"ref": "benedictusryugunawan/image-pneunomia-classification", "kernel_id": "93248790"}, {"ref": "benedictusryugunawan/pkti-td", "kernel_id": "96689227"}, {"ref": "cresenshiahillaryb/srifoton-finalcode", "kernel_id": "96803850"}]}
{"competition_id": "108903", "kernels": []}
{"competition_id": "108906", "kernels": [{"ref": "fly890821/simple-lstm-for-text-classification", "kernel_id": "88123314"}, {"ref": "fly890821/notebookf961b30117", "kernel_id": "88136022"}]}
{"competition_id": "108910", "kernels": [{"ref": "ishitabahamnia/categorical-feature-encoding-challenge", "kernel_id": "88956171"}, {"ref": "sangseoseo/categoricaldatabinaryclassifymodeling", "kernel_id": "93014982"}]}
{"competition_id": "108914", "kernels": [{"ref": "sandeepbehera22/notebook6c43900abd", "kernel_id": "89312704"}]}
{"competition_id": "108915", "kernels": []}
{"competition_id": "108916", "kernels": [{"ref": "hyyccx/hyyccxbase", "kernel_id": "88164669"}]}
{"competition_id": "110010", "kernels": [{"ref": "ben2002/eliminatetetris", "kernel_id": "88218133"}]}
{"competition_id": "110019", "kernels": [{"ref": "amanichabouni/ax-multi-task", "kernel_id": "99225675"}]}
{"competition_id": "110049", "kernels": [{"ref": "sandhyaavasthi/podcast-listening-time-randomforest", "kernel_id": "88635328"}, {"ref": "pinthattheparkinglot/advanced-tabular-models", "kernel_id": "88244043"}, {"ref": "pinthattheparkinglot/predict-podcast-time-starter", "kernel_id": "88239873"}, {"ref": "hadikp/predict-podcast-listening-time", "kernel_id": "88283959"}]}
{"competition_id": "110173", "kernels": [{"ref": "amanichabouni/ax-demo-noisy-branin", "kernel_id": "99202507"}]}
{"competition_id": "110175", "kernels": [{"ref": "amanichabouni/ax-multi-fidelity-demo", "kernel_id": "99440568"}]}
{"competition_id": "110258", "kernels": []}
{"competition_id": "110281", "kernels": [{"ref": "fissalalsharef/bigquery-ai-the-patent-analyst-project", "kernel_id": "89302045"}, {"ref": "lelpresidente/semantic-research-detective", "kernel_id": "89750465"}, {"ref": "timswastgoogle/forecast-sf-bike-trips-with-bigframes", "kernel_id": "89688985"}, {"ref": "timswastgoogle/describe-product-images-with-bigframes-multimodal", "kernel_id": "89694857"}, {"ref": "timswastgoogle/vector-search-with-bigframes-over-national-jukebox", "kernel_id": "89407314"}, {"ref": "mpwolke/italian-public-tenders-sqlite", "kernel_id": "89337767"}, {"ref": "mpwolke/women-s-bigquery-ai-shoes", "kernel_id": "89272837"}, {"ref": "dedquoc/turning-311-requests-into-ai-driven-insights", "kernel_id": "89282955"}, {"ref": "andyc97/automated-product-positioning-tools-steam-game", "kernel_id": "89912609"}, {"ref": "currentether/personalized-marketing-with-bigquery-ai", "kernel_id": "89578856"}, {"ref": "minervasdatalab/explorebigquery-1", "kernel_id": "89820410"}, {"ref": "lordpatil/bigquery-free-tier-guide", "kernel_id": "89793307"}, {"ref": "lordpatil/origins-and-internals-of-bigquery", "kernel_id": "89902800"}, {"ref": "tobijoshua/ai-developer-help-desk-q-a", "kernel_id": "89304219"}, {"ref": "oumaimachater/news-moodmap", "kernel_id": "89670466"}, {"ref": "pinthattheparkinglot/fork-of-fork-of-analysis-of-sec-edgar-documents-an", "kernel_id": "89609910"}, {"ref": "vet231199/multimodal-data-processing-with-bigquery-ai", "kernel_id": "89264138"}, {"ref": "ronaldkalani/bigquery-ai-building-the-future-of-data-kr", "kernel_id": "89308527"}, {"ref": "daosyduyminh/simple-tutorial-weather-forecasting", "kernel_id": "89316834"}, {"ref": "ailookbook888/v2-remix-sec-filing-google-trends-stock-price", "kernel_id": "89709195"}, {"ref": "ramanofthesky/just-a-waste-of-time", "kernel_id": "89708142"}, {"ref": "ramanofthesky/fashion-retail-intelligence-bigquery-ai-hackatho", "kernel_id": "89709627"}, {"ref": "omarjesusdelatorre/v1-remix-multimodal-data-processing-bigquery-ai", "kernel_id": "89514465"}, {"ref": "omarjesusdelatorre/v3-insurance-rate-premium-increases-publ", "kernel_id": "89563298"}, {"ref": "omarjesusdelatorre/remix-llama-context-analysis-of-sec-documents", "kernel_id": "89570774"}, {"ref": "omarjesusdelatorre/remix-2-llama-context-analysis-of-sec-docume", "kernel_id": "89601425"}, {"ref": "masonlai42/v3-dc-311-text-resembling-crime-vs-repor", "kernel_id": "89492350"}, {"ref": "masonlai42/remix-sec-filing-google-trends-stock-price", "kernel_id": "89670483"}, {"ref": "masonlai42/fork-of-experimental-ii", "kernel_id": "89675417"}, {"ref": "masonlai42/experimental", "kernel_id": "89673290"}, {"ref": "masonlai42/fork-of-experimental", "kernel_id": "89677086"}, {"ref": "masonlai42/experimental-ntbk", "kernel_id": "89892780"}, {"ref": "masonlai42/data-fusion-attempt", "kernel_id": "89894670"}, {"ref": "roxannetaylorscott/v2-insurance-analysis-of-sec-edgar-documents", "kernel_id": "89625495"}, {"ref": "roxannetaylorscott/insurance-analysis-of-sec-edgar-documents-remix", "kernel_id": "89619576"}, {"ref": "kikiaidesigner/wolf-sec-filing-google-trends-stock-price", "kernel_id": "89713335"}, {"ref": "kikiaidesigner/remix-ideas-for-trends-bigquery-competition", "kernel_id": "89876699"}, {"ref": "erenata/aria-bigquery-ai-for-e-commerce", "kernel_id": "89332402"}, {"ref": "loyisongcobo/big-query-ai", "kernel_id": "89669872"}, {"ref": "artemyvoronov/bigquery-ai-for-agri-logistics-chat-to-insights", "kernel_id": "89641401"}, {"ref": "ambersalazar/dc-311-text-resembling-crime-vs-reported-crime", "kernel_id": "89474841"}, {"ref": "ambersalazar/v2-dc-311-text-resembling-crime-vs-reported", "kernel_id": "89485635"}, {"ref": "ambersalazar/v3-dc-311-text-resembling-crime-vs-repor", "kernel_id": "89487749"}, {"ref": "ambersalazar/remix-simple-tutorial-weather-forecasting", "kernel_id": "89507921"}, {"ref": "lucasubatin/examples-on-multimodal-with-objectrefs-and-cats", "kernel_id": "89478399"}, {"ref": "annastasy/ticket-iq", "kernel_id": "90037070"}, {"ref": "mos3santos/projeto-o-fim-da-gua-pot-vel-previs-o-globa", "kernel_id": "90244007"}, {"ref": "mos3santos/pulm-es-do-planeta-as-florestas-respiram-por-n-s", "kernel_id": "90490279"}, {"ref": "mos3santos/fim-da-gua-pot-vel-previs-o-global", "kernel_id": "90450604"}, {"ref": "mos3santos/aria-bigquery-ai-for-e-commerce", "kernel_id": "90819790"}, {"ref": "mos3santos/autismo-em-escala-global-estat-sticas-di", "kernel_id": "90802584"}, {"ref": "ronsjohn/bigquery-2", "kernel_id": "90459107"}, {"ref": "noobbbie/deep-dive-ai", "kernel_id": "90664667"}, {"ref": "laxmiir/support-triage", "kernel_id": "90765106"}, {"ref": "alioraji/vibemaps-semantic-station-route-recommender-ny", "kernel_id": "90200997"}, {"ref": "daniyalatta/data-science-trends-full-single-cell-code-endtoend", "kernel_id": "90740655"}, {"ref": "daniyalatta/full-testing-bigquery-ai-single-cell", "kernel_id": "90004492"}, {"ref": "giannisvoulgaris/urban-ai-multimodal-bigquery-ai-for-smart-ci", "kernel_id": "90013265"}, {"ref": "leopoldooliveira/safety-isn-t-optional-video-pitch-appr-iii", "kernel_id": "90252129"}, {"ref": "santiagosalazar021/cognitive-support-hub-v1", "kernel_id": "90072440"}, {"ref": "wafaaalayoubi/the-airbnb-ai-consultant", "kernel_id": "90569785"}, {"ref": "avineshprabhakaran/binary-bank-competiton", "kernel_id": "90750027"}, {"ref": "lunalizhang/potential-proj-stock-market-sentiment-analysis", "kernel_id": "90958811"}, {"ref": "lunalizhang/v2-did-someone-do-this-before", "kernel_id": "90838575"}, {"ref": "lunalizhang/v3-did-someone-do-this-before", "kernel_id": "90840260"}, {"ref": "lunalizhang/did-someone-do-this-before", "kernel_id": "90837252"}, {"ref": "lunalizhang/dei-climate-analysis-of-sec-edgar-documents", "kernel_id": "90835987"}, {"ref": "lunalizhang/v4-did-someone-do-this-before", "kernel_id": "90843169"}, {"ref": "ambersalazar/data-science-trends", "kernel_id": "90710588"}, {"ref": "kavindhiranc/semantic-covid-19-intelligence-with-bigquery-ai", "kernel_id": "90936912"}, {"ref": "skylord/sample-notebook", "kernel_id": "91166125"}, {"ref": "shloksah/customer360-ai-platform-with-bigquery", "kernel_id": "91123753"}, {"ref": "luisatutau/the-secret-to-airbnb-success-bigquery-geoanlytcs", "kernel_id": "91670741"}, {"ref": "dmitriymotorin/bigquery-ai-architect-forecast", "kernel_id": "91390102"}, {"ref": "dmitriymotorin/bigquery-ai-vector-cosine-similarity", "kernel_id": "91390110"}, {"ref": "dmitriymotorin/bigquery-ai-multimodal-weekly-overview", "kernel_id": "91390751"}, {"ref": "assiaben/medibridge-ai-clinical-decision-support", "kernel_id": "91636088"}, {"ref": "raghavankrishnan/vibevision-memes-tweets-eda-demo", "kernel_id": "91546875"}, {"ref": "garvitverma/ai-supply-chain-intelligence-platform-bigquery-a", "kernel_id": "91069145"}, {"ref": "ahmedhazem23/smart-document-discovery-engine", "kernel_id": "91992261"}, {"ref": "jawadarshad63/smart-customer-support-ticket-helper-with-bigquery", "kernel_id": "91551955"}, {"ref": "ashishiitg/aivshuman-text-classifier", "kernel_id": "91015198"}, {"ref": "tiyabk/county-level-augmented-risk-intelligence-system", "kernel_id": "91161284"}, {"ref": "raghvendrakushwah/raj-kaggle", "kernel_id": "91804004"}, {"ref": "avineshprabhakaran/thermophysical-property-melting-point", "kernel_id": "91056886"}, {"ref": "nilavkashyap/premortem-ai-sec-filings-bigquery", "kernel_id": "91740513"}, {"ref": "asinsayedali/incident-ai", "kernel_id": "91494745"}, {"ref": "skylord/google-deepmind-weathernext-forecasts", "kernel_id": "92510238"}, {"ref": "skylord/multimodal-features-using-bigframes", "kernel_id": "92452291"}, {"ref": "skylord/accessing-bigquery-v0", "kernel_id": "92454524"}, {"ref": "skylord/can-we-protect-our-food-sources", "kernel_id": "92563982"}, {"ref": "fafa92/compass-notebook", "kernel_id": "92740737"}, {"ref": "mayakalyan/oncomix-ai", "kernel_id": "92747883"}, {"ref": "reubencpereira/bigquery-ai-building-the-future-of-data", "kernel_id": "92843964"}, {"ref": "anzhemeng/s-c-a-m-m-ai-multimodal-spam-detection", "kernel_id": "92300042"}, {"ref": "trilabs/smartdoc", "kernel_id": "92635091"}, {"ref": "catiav5/ragnarok", "kernel_id": "92665832"}, {"ref": "marcostidball/e2e-bigquery-churn-prevention-system", "kernel_id": "92387720"}, {"ref": "birlinha/water-grants-simple-text-embedding-search", "kernel_id": "92026824"}, {"ref": "mos3santos/sensores-qu-nticos", "kernel_id": "92369598"}, {"ref": "ktubatrkcan/bigframes-multimodal-rag-for-diabetes-research", "kernel_id": "92760472"}, {"ref": "assiaben/medibridge-ai-real-time-oncology-decision-support", "kernel_id": "92274239"}, {"ref": "rapidhunter/multimodal-ai-product-search-e-commerce-intellige", "kernel_id": "92484678"}, {"ref": "asd242538a/life360-a-bigquery-ai-powered-personal-healthcare", "kernel_id": "92655377"}, {"ref": "kushtrivedi14728/noise-to-decision-with-bigquery-ai", "kernel_id": "92424319"}, {"ref": "priyamsaha17/classifying-hateful-memes-leveraging-bigquery", "kernel_id": "92764431"}, {"ref": "zakihiro/notebook01ea3d0693", "kernel_id": "92810101"}, {"ref": "aleenaazeem/real-time-climate-risk-mapping-with-bigquery-ai", "kernel_id": "92850239"}, {"ref": "martinszerment/bigquery-ai-building-the-future-of-data", "kernel_id": "92534069"}, {"ref": "anikthaku/autoreachcode", "kernel_id": "92719867"}, {"ref": "pakira/google-trends-forecasting-solution", "kernel_id": "92749478"}, {"ref": "ancientluck/arxiv-intellect", "kernel_id": "92839989"}, {"ref": "bcookie11/autonomous-bigquery-ai-data-cleaning-agent", "kernel_id": "92708939"}, {"ref": "sudeeptpillai/the-marketing-co-pilot", "kernel_id": "92079797"}, {"ref": "liheting/qualitynexus-multimodal-devops-quality", "kernel_id": "92056040"}, {"ref": "maahinpanchal/maahin-ml-fashion", "kernel_id": "92547237"}, {"ref": "amankhan015/hackathon", "kernel_id": "92373517"}, {"ref": "nguyennamhongdoan/claimwise-ai-auto-claim-insurance", "kernel_id": "92704770"}, {"ref": "sanyamgarg202/vectormind", "kernel_id": "92813207"}, {"ref": "ritwikanthro/ethnofusionai", "kernel_id": "92058727"}, {"ref": "marquezm07/nebulalogix-ia", "kernel_id": "92407507"}, {"ref": "nidhis4444/sustainability-ai-optimizing-cost-and-carbon", "kernel_id": "92812791"}, {"ref": "nidhis4444/sustainability-ai-forecasting-carbon-footprint", "kernel_id": "92738769"}, {"ref": "vijayashantim/ecommerce-seasonal-email-engine", "kernel_id": "92203262"}, {"ref": "familyunion/notebookb6d427bcce", "kernel_id": "92849572"}, {"ref": "johngreenfielduk/adhd-strategy-finder", "kernel_id": "92725703"}, {"ref": "jaskafrans880/auto-claim-analysis", "kernel_id": "92609665"}, {"ref": "pareshmaru/semantic-hotel-likeability-ranker", "kernel_id": "92793708"}, {"ref": "robbertspijkstra/patient-file-interaction", "kernel_id": "92810543"}, {"ref": "azvn03/testing", "kernel_id": "92496537"}, {"ref": "arkanfadhilkautsar/umkm360-ai-powered-business-consultant-for-msmes", "kernel_id": "92860346"}, {"ref": "kartikg0/meta-ads-competitor-analysis-using-bigquery-ai", "kernel_id": "93040840"}, {"ref": "itsyoursumit/aria-bigquery-ai-for-e-commerce", "kernel_id": "93050398"}, {"ref": "sammedlab/multimodal-data-processing-with-bigquery-ai", "kernel_id": "94844741"}, {"ref": "sammedlab/samgeinedeskai", "kernel_id": "94846463"}, {"ref": "ktubatrkcan/search4cure-ai-diabetes", "kernel_id": "96001918"}, {"ref": "adnanmd76/noor-e-abjad-notebook", "kernel_id": "108383821"}]}
{"competition_id": "110318", "kernels": []}
{"competition_id": "111424", "kernels": [{"ref": "swas06/homepricepediction", "kernel_id": "88730237"}, {"ref": "swas06/houseprediction-model", "kernel_id": "88893218"}, {"ref": "michaelsemenoff/california-homeless-rates", "kernel_id": "88508807"}, {"ref": "garrickchinnis/california-homelessness-prediction-challenge", "kernel_id": "88601411"}, {"ref": "ianteigen/california-homelessness-prediction-full-eda", "kernel_id": "88484093"}, {"ref": "tayloriyamoon/california-homeless-prediction-catboost", "kernel_id": "88424421"}, {"ref": "tayloriyamoon/california-homeless-prediction-eda-model-zoo", "kernel_id": "88425052"}, {"ref": "tayloriyamoon/model-comparison-starter-notebook", "kernel_id": "88425915"}, {"ref": "tayloriyamoon/starter-2-0", "kernel_id": "88426660"}, {"ref": "udaken10/firstlook", "kernel_id": "89189597"}, {"ref": "aasirwaseer/ca-homelessness-eda-tuning-submissions", "kernel_id": "90747743"}, {"ref": "udaken10/social-meaning-of-this-data-anatysis", "kernel_id": "90589036"}, {"ref": "haradibots/california-homelessness", "kernel_id": "91922179"}, {"ref": "udaken10/cooking-new-feature-cat", "kernel_id": "92373799"}, {"ref": "borgesborges/cali-homelessness-prediction-basic-rf-w-cv", "kernel_id": "92450001"}, {"ref": "udaken10/grid-search", "kernel_id": "94488094"}, {"ref": "udaken10/city-streed", "kernel_id": "94009400"}, {"ref": "udaken10/onehotenc", "kernel_id": "94018731"}, {"ref": "udaken10/social-meaning-from-models-score", "kernel_id": "94229771"}, {"ref": "c2k2k2k/1-data-analysis", "kernel_id": "96340403"}, {"ref": "darcy59/cah-kim-neuralnet-kfold-with-tuning", "kernel_id": "98267297"}, {"ref": "kaggletay/chpc-eda-notebook", "kernel_id": "99181803"}, {"ref": "udaken10/groupkfold-with-tf-idf", "kernel_id": "103693076"}, {"ref": "chenxuanwu/california-homelessness-prediction-challenge", "kernel_id": "103022098"}, {"ref": "assignarc/houseprediction-model", "kernel_id": "103063048"}, {"ref": "omidbaghchehsaraei/a-tabpfn-approach-predicting-homelessness-in-cl", "kernel_id": "104615144"}, {"ref": "hmnshudhmn24/california-homelessness-prediction-challenge", "kernel_id": "104966106"}, {"ref": "udaken10/thought-of-or-for-no-leak-data", "kernel_id": "105376060"}, {"ref": "udaken10/groupkfold-tabpfn", "kernel_id": "105282762"}, {"ref": "aqibrazadev/california-homelessness-robust-svr-ridge-ensemble", "kernel_id": "105709926"}, {"ref": "sdeep27/first-place-solution-sometimes-simple-models-s", "kernel_id": "106228329"}, {"ref": "kumarshrid/californiahousingregression", "kernel_id": "106711008"}]}
{"competition_id": "111425", "kernels": [{"ref": "petermoorhouse/example-notebook-evaluate-othello-boards", "kernel_id": "88425205"}, {"ref": "muhammaddanyalmalik/othello-boards", "kernel_id": "91324505"}]}
{"competition_id": "111432", "kernels": []}
{"competition_id": "111433", "kernels": []}
{"competition_id": "111461", "kernels": []}
{"competition_id": "111471", "kernels": []}
{"competition_id": "111473", "kernels": [{"ref": "yosefftohy/f1-racer-diet-planning", "kernel_id": "89050094"}, {"ref": "khalednabilfathy/khalood-f1", "kernel_id": "89269214"}, {"ref": "stpeteishii/f1-racer-diet-autogluon", "kernel_id": "92609518"}, {"ref": "stpeteishii/f1-racer-diet-autogluon-two-stage-stacking", "kernel_id": "92692683"}]}
{"competition_id": "111480", "kernels": [{"ref": "tayloriyamoon/starter-notebook", "kernel_id": "88724107"}, {"ref": "ruhul20/du-ai-challenge-yolo11m", "kernel_id": "89047682"}, {"ref": "tanversikdar/notebookd2a90b858b", "kernel_id": "122890824"}, {"ref": "tanversikdar/4th-model-yolov8x", "kernel_id": "123074217"}]}
{"competition_id": "111512", "kernels": [{"ref": "swojandattasammya/missing-function-evaluate-pair-ssc", "kernel_id": "90817421"}, {"ref": "hyperobject/dataset-data-exploration", "kernel_id": "90449607"}]}
{"competition_id": "111513", "kernels": [{"ref": "verifyitisyou/lex-ai-eda-starter-architecture-and-models-2-0", "kernel_id": "88610777"}, {"ref": "jasongou/lex-ai-eda-starter-architecture-and-models", "kernel_id": "88601363"}, {"ref": "swaibanaz/digit-recognizer", "kernel_id": "115917173"}, {"ref": "lokeshpuma/lex-ai-digit-recognizer", "kernel_id": "116612738"}]}
{"competition_id": "111543", "kernels": [{"ref": "sohier/hull-tactical-market-prediction-demo-submission", "kernel_id": "91134426"}, {"ref": "laurentlanteigne/hull-starter-notebook", "kernel_id": "91564858"}, {"ref": "spideryzarc/dummy-submission", "kernel_id": "92575510"}, {"ref": "mbrosseau/hull-tactical-max-leaderboard", "kernel_id": "92408146"}, {"ref": "stpeteishii/hull-tactical-randomforest", "kernel_id": "92570924"}, {"ref": "ahsuna123/hull-tactic-no-overfitting-leakage", "kernel_id": "92325529"}, {"ref": "ahsuna123/hull-tactical-complete-eda-deep-dive", "kernel_id": "92318105"}, {"ref": "ahsuna123/leaderboard-generalization-a-cv-check", "kernel_id": "92435748"}, {"ref": "dedquoc/htmp-baseline-eda-lightgbm-v1", "kernel_id": "92539099"}, {"ref": "wguesdon/hmtp-eda-baseline", "kernel_id": "92653859"}, {"ref": "wguesdon/hull-walk-forward-validation", "kernel_id": "92388387"}, {"ref": "wguesdon/hull-backtest", "kernel_id": "92401612"}, {"ref": "rorrybrenner/pytorch-tabular-initial-notebook", "kernel_id": "92671585"}, {"ref": "chakrabhuanavdeva/hull-market-prediction-experimental", "kernel_id": "92984607"}, {"ref": "udaken10/market-prediction", "kernel_id": "92623363"}, {"ref": "darkswordmg/hull-market-prediction-just-improved", "kernel_id": "92338765"}, {"ref": "mos3santos/hull-starter-notebook", "kernel_id": "92312090"}, {"ref": "xxxxyyyy80008/hull-tactical-full-eda", "kernel_id": "92429479"}, {"ref": "xxxxyyyy80008/20250917-hull-starter-notebook-knn", "kernel_id": "92345171"}, {"ref": "santosh1974/hull-tactical-mkt-pred-advance-ml-strategy", "kernel_id": "92731397"}, {"ref": "santosh1974/hull-eda-predictions", "kernel_id": "92385483"}, {"ref": "santosh1974/challenging-emh-4-model-ensemble-for-s-p-500-mark", "kernel_id": "92281636"}, {"ref": "santosh1974/s-p-500-market-timing-competition", "kernel_id": "92280239"}, {"ref": "youneseloiarm/hull-tactical-market-prediction-probinglb-02", "kernel_id": "92462499"}, {"ref": "youneseloiarm/hull-tactical-market-prediction-probinglb", "kernel_id": "92386227"}, {"ref": "ambrosm/htmp-eda-which-makes-sense", "kernel_id": "92289937"}, {"ref": "seowoohyeon/0-017-r2-hull-tactical-eda-and-train-baseline", "kernel_id": "92340180"}, {"ref": "noorchauhan/hull-market-prediction-just-improved", "kernel_id": "92329649"}, {"ref": "ravi20076/hull2025-lbchaser-v1", "kernel_id": "92547797"}, {"ref": "rahulpatil5908/hull-tactical-market-prediction-lgbm-and-rf", "kernel_id": "92427804"}, {"ref": "coderjay/hulltactical-lstm-prediction-v3", "kernel_id": "92615832"}, {"ref": "taylorsamarel/hull-tactical-viz-insights", "kernel_id": "92412713"}, {"ref": "minglv/hull-tactical-prediction-with-cnn-ensemble", "kernel_id": "92457823"}, {"ref": "srinivasta/hallautoml", "kernel_id": "92926783"}, {"ref": "abeshith/hull-tactical-starter-friendly-notebook", "kernel_id": "92868487"}, {"ref": "rkmaurya93/market-prediction", "kernel_id": "92522337"}, {"ref": "ayushkhaire/htmp-feature-engineering-ensemble", "kernel_id": "92577642"}, {"ref": "anthonytherrien/hull-tactical-lightgbm-optuna", "kernel_id": "92909574"}, {"ref": "bharathjr7/01-data-inspection", "kernel_id": "92799109"}, {"ref": "veniaminnelin/hull-tactical-leaderboard-lol", "kernel_id": "92348349"}, {"ref": "tafartech/one-shot-prediction", "kernel_id": "92557295"}, {"ref": "tafartech/market-prediction", "kernel_id": "92554503"}, {"ref": "hamzaabbasai/hull-tactical-market-prediction-9-063", "kernel_id": "92393612"}, {"ref": "antonoof/s-p-500-eda-and-trend-model", "kernel_id": "92588917"}, {"ref": "aryamanvaishya/market-prediction", "kernel_id": "92285250"}, {"ref": "koushikkumardinda/hull-tactical-market-prediction", "kernel_id": "92606035"}, {"ref": "mehedihasanmoon/hull-starter-a-z", "kernel_id": "92518165"}, {"ref": "abdulahadshaik/hull-tactical-market-prediction-1", "kernel_id": "92416956"}, {"ref": "sourishdey2005/hulltactical", "kernel_id": "92425573"}, {"ref": "llkh0a/hull-tactical-market-prediction-experiments", "kernel_id": "92332868"}, {"ref": "gangarampandey/hull-tactical-market-prediction-sharpe-optimized", "kernel_id": "92896531"}, {"ref": "gangarampandey/hull-tactical-market-prediction-finetuned", "kernel_id": "92988726"}, {"ref": "wafaaalayoubi/full-eda-deep-dive-into-the-data", "kernel_id": "92989139"}, {"ref": "tahreemarshad/market-prediction-analysis-by-tahreem", "kernel_id": "92973550"}, {"ref": "alonzoulery/hull-tactical-competition", "kernel_id": "92832330"}, {"ref": "sarbojeetbhowmick/hullmarket-prediction-sb", "kernel_id": "92445505"}, {"ref": "kospintr/hull-senet-lstm-transformer-baseline", "kernel_id": "92459590"}, {"ref": "alisalmanrana/hull-tactical-leaderboard", "kernel_id": "92438790"}, {"ref": "garthnoel/sep-23-hull", "kernel_id": "92822194"}, {"ref": "garthnoel/notebookb5333ebb3b", "kernel_id": "92810439"}, {"ref": "nina2025/hull-tactical-ensemble-of-solutions", "kernel_id": "92411110"}, {"ref": "bigdatasmallhead/solution-attempt-2-remix", "kernel_id": "92363404"}, {"ref": "wasiqaliyasir/sklearn-xgboost-hull-market-prediction", "kernel_id": "92620526"}, {"ref": "wasiqaliyasir/deep-machine-learning-prediction-hull-predict", "kernel_id": "92746112"}, {"ref": "wasiqaliyasir/hull-tactical-market-prediction-ml-dl", "kernel_id": "92829531"}, {"ref": "meihanzhao315/eda-v1", "kernel_id": "92734664"}, {"ref": "meihanzhao315/boosted-ensemble", "kernel_id": "92360792"}, {"ref": "fejust/hull-tactical-prediction-getting-started", "kernel_id": "93422359"}, {"ref": "cmirani/a-simple-model-logistic-classifier-leak-free", "kernel_id": "93811487"}, {"ref": "whitgroves/hull-tactical-market-prediction", "kernel_id": "93003429"}, {"ref": "shiyili/hull2025-lbchaser-v1-1a26de", "kernel_id": "93275241"}, {"ref": "aimazin/boosted-ensemble", "kernel_id": "93800832"}, {"ref": "mpwolke/market-timing-when-to-re-enter-it-hull-tactical", "kernel_id": "93217529"}, {"ref": "lucitar/hull-tactical-analise-exploratoria-de-dados", "kernel_id": "93633495"}, {"ref": "mayankrakesh121/tactial-hull-challenge", "kernel_id": "93802443"}, {"ref": "nickyjliang/trial-error", "kernel_id": "93509054"}, {"ref": "junjitakeshima/hull-basic-approach-and-new-feature-eng", "kernel_id": "93508045"}, {"ref": "lordpatil/xgboost-is-all-you-need", "kernel_id": "93337517"}, {"ref": "lordpatil/feature-engineering-with-xgboost", "kernel_id": "93984305"}, {"ref": "taylorsamarel/can-you-predict-market-predictability", "kernel_id": "93363270"}, {"ref": "yogeshbawankar/hulltact-oof-ensemble", "kernel_id": "93826540"}, {"ref": "maanwar/hull-directionality-validation", "kernel_id": "93968204"}, {"ref": "wesleyylg/analisexploratoria", "kernel_id": "93954886"}, {"ref": "ablaydosmaganbetov/hull-starter-notebook", "kernel_id": "93786598"}, {"ref": "anthonytherrien/hull-tactical-market-prediction-nn", "kernel_id": "93132382"}, {"ref": "harshitakumari256/xgbregressor-eda-imputation", "kernel_id": "93687428"}, {"ref": "samuelajaguin/hull-tactical-prediction", "kernel_id": "93798854"}, {"ref": "datamanagemente/hull-tactical-market-prediction-strategy", "kernel_id": "93979141"}, {"ref": "garciaartur/eda-starting", "kernel_id": "93837766"}, {"ref": "junaid512/eda-analysis-of-hull-tactical-market-prediction", "kernel_id": "93240675"}, {"ref": "cascarino/eda-hull-tactical-market-prediction", "kernel_id": "93124460"}, {"ref": "notthecoder/mlp-model-17-367-score", "kernel_id": "93311977"}, {"ref": "harsh8840/notebookde26f83948", "kernel_id": "93885925"}, {"ref": "abdulahadshaik/hull-tactical-market-prediction-9", "kernel_id": "93098578"}, {"ref": "tihon2010/hull-tactical-0-496", "kernel_id": "93909466"}, {"ref": "caiobas/modelo-completo", "kernel_id": "93202568"}, {"ref": "samoilovmikhail/pytorch-transformer-baseline-hull-tactical", "kernel_id": "93369099"}, {"ref": "samoilovmikhail/catboost-optuna-baseline-hull-tactical", "kernel_id": "93127460"}, {"ref": "samoilovmikhail/hull-tactical-data-analysis", "kernel_id": "93033553"}, {"ref": "antonioirineu/analise-explorat-ria-de-dados", "kernel_id": "93832530"}, {"ref": "adrianekelle/exploratory-data-analysis", "kernel_id": "93179182"}, {"ref": "isaacknyllofduarte/aed-dos-guri", "kernel_id": "93863558"}, {"ref": "gangarampandey/hull-tactical-market-prediction-maxscore", "kernel_id": "93697070"}, {"ref": "ayureis/aeb-dccd", "kernel_id": "93836283"}, {"ref": "kushubhai/hull-submission-notebook", "kernel_id": "93983780"}, {"ref": "kushubhai/hull-drawing-board", "kernel_id": "93010811"}, {"ref": "unnatik09/strategy1", "kernel_id": "93579188"}, {"ref": "alecrissf/aed-inicial", "kernel_id": "93851525"}, {"ref": "mukhilkannan/mlp-model-17-366-score", "kernel_id": "93268495"}, {"ref": "mukhilkannan/exprimenting-with-tabnet-15-987", "kernel_id": "93215781"}, {"ref": "mukhilkannan/more-experimentation-17-197-score", "kernel_id": "93224220"}, {"ref": "ishhverma/trial-error", "kernel_id": "93152595"}, {"ref": "valtocas/an-lise-explorat-ria-dos-dados-de-treino", "kernel_id": "93739835"}, {"ref": "audriusp/hull-initial", "kernel_id": "93544117"}, {"ref": "wasiqaliyasir/catboost-hull-signal-model", "kernel_id": "93209815"}, {"ref": "wasiqaliyasir/lightgbm-hull-tactical-market-prediction", "kernel_id": "93999545"}, {"ref": "jeffborschowa/hull-starter-notebook-4b7274", "kernel_id": "93954473"}, {"ref": "amirraven/prophet-ai-hull", "kernel_id": "93273151"}, {"ref": "rawanebrahem/submission-parquet", "kernel_id": "93295907"}, {"ref": "sudip2001/hull-tactical-market-prediction", "kernel_id": "93733512"}, {"ref": "mbrosseau/hull-tactical-autogluon-train-and-infer-tabular", "kernel_id": "94154644"}, {"ref": "kuldeepdhadhwal/market-prediction", "kernel_id": "94289992"}, {"ref": "kizmodo/hull-zscore-clipping-with-100-sharpe-jump", "kernel_id": "94528509"}, {"ref": "morodertobias/hull-leak-safe-baseline", "kernel_id": "94410946"}, {"ref": "tasmim/hull-tactical-market-predictio", "kernel_id": "94841703"}, {"ref": "tasmim/hull-tactical-market-prediction-v2", "kernel_id": "94880259"}, {"ref": "johnsonhk88/hull-tactical-market-prediction-ml", "kernel_id": "94808882"}, {"ref": "zedrover/hull-market-prediction-codex-v2", "kernel_id": "94984143"}, {"ref": "zedrover/hull-market-prediction-codex", "kernel_id": "94983500"}, {"ref": "zedrover/hull-market-prediction-claude-v3", "kernel_id": "94969219"}, {"ref": "zedrover/hull-market-prediction-claude-v5", "kernel_id": "94970327"}, {"ref": "zedrover/hull-market-prediction-droid-v3", "kernel_id": "94970393"}, {"ref": "zedrover/hull-market-prediction-claude-v6", "kernel_id": "94970721"}, {"ref": "zedrover/hull-market-prediction-claude-v4", "kernel_id": "94969748"}, {"ref": "zedrover/hull-market-prediction-claude-v7", "kernel_id": "94972413"}, {"ref": "zedrover/hull-market-prediction-claude-v7dp", "kernel_id": "94972667"}, {"ref": "yihanguo/hull-version-2-lightgbm", "kernel_id": "94115171"}, {"ref": "mst8823/hull-tactical-itransformer-gaussiannllloss", "kernel_id": "94865647"}, {"ref": "mst8823/check-date-id", "kernel_id": "94805413"}, {"ref": "teppeihirose/hull-6-197", "kernel_id": "94589842"}, {"ref": "ranjitrjadhawar/aim-analysis-and-lagged-features-in-train-ht-mp", "kernel_id": "94749841"}, {"ref": "asadalikhan92/hull-tactical-ml-ensemble-robust-time-pipeline", "kernel_id": "94219905"}, {"ref": "kmurano/quantile-driven-kelly-positioning", "kernel_id": "94251642"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission", "kernel_id": "94974705"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v8", "kernel_id": "94978589"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v9", "kernel_id": "94978972"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v10", "kernel_id": "94979396"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v12", "kernel_id": "94980866"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v11", "kernel_id": "94980103"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v2", "kernel_id": "94975375"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v3", "kernel_id": "94976452"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v4", "kernel_id": "94976917"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v5", "kernel_id": "94977198"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v6", "kernel_id": "94977450"}, {"ref": "lagrangianlocomotive/hull-tactical-optimized-model-submission-v7", "kernel_id": "94978040"}, {"ref": "ademicho123/hull-tactical-market-prediction", "kernel_id": "94961607"}, {"ref": "conclf/dataset-processing-notebook", "kernel_id": "94218358"}, {"ref": "s4vyss/hull-starter-notebook", "kernel_id": "94529865"}, {"ref": "difallahhadjar/hull-tactical-bayesian-optimization", "kernel_id": "94728857"}, {"ref": "stemosamaghandour/hull-tactical-egypt-stock-market-predictor", "kernel_id": "94218521"}, {"ref": "manish756/advanced-ensemble-model", "kernel_id": "94156025"}, {"ref": "sgm12345kopen/20251009-78ca1f", "kernel_id": "94505527"}, {"ref": "harshitakumari256/lstm-hull-tactical", "kernel_id": "94117958"}, {"ref": "datamanagemente/hull-tactical-v5", "kernel_id": "94063315"}, {"ref": "datamanagemente/hull-tactical-v4-optimized-for-maximum-score", "kernel_id": "94015647"}, {"ref": "datamanagemente/hull-tactical-enhanced-strategy-v3-error-fixed", "kernel_id": "94014488"}, {"ref": "junaid512/hulltactical-market-prediction", "kernel_id": "94607857"}, {"ref": "seamusbarnes/the-real-do-nothing-baseline", "kernel_id": "94378778"}, {"ref": "mahdiwanna/eda-for-hull-tactical", "kernel_id": "94193793"}, {"ref": "prathameshpatil2025/stacked-ensemble-hulltactical-optuna-time-series", "kernel_id": "94468101"}, {"ref": "mohamedamr992/ready-3", "kernel_id": "94662478"}, {"ref": "eshaandhavala/dataset-processing-notebook-copy-dhavala", "kernel_id": "94436503"}, {"ref": "shunyafukuda/simple-baseline-sub", "kernel_id": "94018624"}, {"ref": "jaythapar/dataset-processing-notebook", "kernel_id": "94861283"}, {"ref": "zhanhuang522/hull-starter-notebook-floating-window", "kernel_id": "94178276"}, {"ref": "meetbabariya/random-simulation", "kernel_id": "94249312"}, {"ref": "jiaoyouzhang/hull-ridge-lasso-arima-no-leak", "kernel_id": "94894471"}, {"ref": "arunsworkspace/hull-tactical-market-prediction", "kernel_id": "94008102"}, {"ref": "keithbui/dataset-processing-notebook", "kernel_id": "94785456"}, {"ref": "supermeedoo/hull-tactical", "kernel_id": "94606260"}, {"ref": "nmokey/ryan-zheng-acm-ai-project-application", "kernel_id": "94394939"}, {"ref": "grubbylu/dataset-processing-notebook", "kernel_id": "94545036"}, {"ref": "shlokkumar2303/hull-tactical-notebook", "kernel_id": "94934338"}, {"ref": "khai42/hull-tactical-submission-score-17-396", "kernel_id": "94673071"}, {"ref": "mdferozahmedafm/hull-tactical-market-prediction-strategy", "kernel_id": "94019382"}, {"ref": "thelegend21351/legend-dataset-processing-notebook", "kernel_id": "94782712"}, {"ref": "vme50forcrazythurs/xgboost-no-leakage-regression", "kernel_id": "94591121"}, {"ref": "simonfan7/mini-capm-model", "kernel_id": "94558659"}, {"ref": "wasiqaliyasir/gradient-boosting-hull-prediction", "kernel_id": "94443811"}, {"ref": "wasiqaliyasir/lightgbm-hull-prediction-9-003-score", "kernel_id": "94280718"}, {"ref": "wasiqaliyasir/hull-prediction-using-catboostregressor-model", "kernel_id": "94124939"}, {"ref": "wasiqaliyasir/hull-market-prediction-score-15-190", "kernel_id": "94743118"}, {"ref": "aaacatlin/hull-tactical-market-prediction-demo-submission", "kernel_id": "94138173"}, {"ref": "kkprabu/pca-ica-lstm-hybrid-model-for-s-p-500-prediction", "kernel_id": "94107204"}, {"ref": "ryanyao22/dataset-processing-notebook", "kernel_id": "94740749"}, {"ref": "huipengjohnyao/acm-ai-kaggle-project-app", "kernel_id": "94752539"}, {"ref": "prygw2/acmaireal", "kernel_id": "94851903"}, {"ref": "saloniparida/saloni-parida-acmai-kagglenb", "kernel_id": "94868118"}, {"ref": "zeus75/eda-hull-tactical-market-prediction", "kernel_id": "95761950"}, {"ref": "solokop/hull-tactical-baseline-v1", "kernel_id": "95904887"}, {"ref": "solokop/hull-tactical-baseline-v2-simple-test", "kernel_id": "95906863"}, {"ref": "solokop/hull-v3-constant-baseline", "kernel_id": "95907761"}, {"ref": "solokop/hull-v4-optimal-position-0-80", "kernel_id": "95909456"}, {"ref": "solokop/hull-v5-smart-momentum-strategy", "kernel_id": "95909507"}, {"ref": "solokop/hull-v6-elasticnet-optimal-target", "kernel_id": "95909789"}, {"ref": "solokop/hull-v7-ensemble-strategy", "kernel_id": "95909910"}, {"ref": "aruparna/aruparna-predicts", "kernel_id": "95222789"}, {"ref": "creditor/hull-overfitting-vs-performance-no-leak", "kernel_id": "95352142"}, {"ref": "marconiv/notebook43f5eee560", "kernel_id": "95662732"}, {"ref": "rohitdileep/lgbm-regressor", "kernel_id": "95633792"}, {"ref": "leonlenk/simple-tree-notebook", "kernel_id": "95999574"}, {"ref": "den3120/catboost-v2-inference-hull-tactical", "kernel_id": "95461091"}, {"ref": "nicopyds/first-eda", "kernel_id": "95796612"}, {"ref": "alnourabdalrahman9/hull-tactical-v11-pure-optimization", "kernel_id": "95152005"}, {"ref": "johnnyhyland/hull-tactical-turtle-trader", "kernel_id": "95244530"}, {"ref": "josephmakaumunyao/hull-tactical-market-prediction", "kernel_id": "95395671"}, {"ref": "tygryskuyato/hull-tactical-market-prediction", "kernel_id": "95760049"}, {"ref": "nguyenvietdat/hull-starter-notebook-17-396", "kernel_id": "95288585"}, {"ref": "nguyenvietdat/linear-lgbm-stack", "kernel_id": "95406803"}, {"ref": "nguyenvietdat/hybridstack-mlp-ensemble", "kernel_id": "95402032"}, {"ref": "nguyenvietdat/yeo-johnson-exposure-stack", "kernel_id": "95480304"}, {"ref": "abdullah0a/hull-tactical-returns-predictions", "kernel_id": "95004594"}, {"ref": "shadjamil/hull-starter-notebook", "kernel_id": "95745859"}, {"ref": "exhoparth/hull-tactical-market-prediction-kaggle-init", "kernel_id": "95970615"}, {"ref": "mustafa888wasif/hull-tactical-prediction-model", "kernel_id": "95522734"}, {"ref": "shunyafukuda/base-eda", "kernel_id": "95521042"}, {"ref": "krsmt123/hull-krsmt", "kernel_id": "95594142"}, {"ref": "zhanhuang522/hall-tac", "kernel_id": "95551533"}, {"ref": "iamkartikb/noughat", "kernel_id": "95132622"}, {"ref": "roadrashfifa21/hull-tactical-market-prediction-demo-submission", "kernel_id": "95367998"}, {"ref": "kagger3/hulltactical-market-prediction", "kernel_id": "95262001"}, {"ref": "devanshshukla123/gradientboostingregressor", "kernel_id": "95278555"}, {"ref": "gauravparkhedkar/hullsol", "kernel_id": "95275854"}, {"ref": "dheerajkannaujiya/hull-technical", "kernel_id": "95217374"}, {"ref": "langyao173/notebook15b3b1d8d5", "kernel_id": "95305219"}, {"ref": "chenpengzang/hulltacticalcombo", "kernel_id": "95093233"}, {"ref": "wasiqaliyasir/prediction-score-0-366", "kernel_id": "95783947"}, {"ref": "wasiqaliyasir/prediction-in-1-cell-simple-guide-0-346-score", "kernel_id": "95033748"}, {"ref": "matteopoddesu33/dylan-gbm-dynamic-weight", "kernel_id": "95790360"}, {"ref": "monica111233/notebook4d682f1458", "kernel_id": "95228634"}, {"ref": "matchanooo/hull-tactical-market-prediction", "kernel_id": "95220670"}, {"ref": "ferozahmedds/hull-tactical-market-prediction-strategy", "kernel_id": "95717136"}, {"ref": "asmanijahan/hull-tactical-market-prediction-strategy", "kernel_id": "95292030"}, {"ref": "mingliqing/notebookf953f25207", "kernel_id": "95970881"}, {"ref": "mingliqing/hull-tactical-ensemble-of-solutions", "kernel_id": "95953662"}, {"ref": "rafanikitas/hull-eda-training-pipeline", "kernel_id": "96437129"}, {"ref": "zeus75/hull-tactical-market-portfolio-optimization", "kernel_id": "96224079"}, {"ref": "solokop/hull-v8-improved-ensemble", "kernel_id": "96044612"}, {"ref": "solokop/hull-v9-gold-based", "kernel_id": "96048533"}, {"ref": "hausch11/phase1-v8-time-series-fundamentals-garch", "kernel_id": "96963777"}, {"ref": "hausch11/phase1-v8-parquet-submission", "kernel_id": "96964355"}, {"ref": "hausch11/phase1-v8-fixed-no-lookahead", "kernel_id": "96966216"}, {"ref": "hausch11/phase1-v8-inference-server", "kernel_id": "96978211"}, {"ref": "obiaf88/eda-hull-tactical-market-prediction", "kernel_id": "96662961"}, {"ref": "gunesevitan/htmp-understanding-the-metric", "kernel_id": "96357709"}, {"ref": "atsushi015/inference-fork-of-catboost-optuna-baseline", "kernel_id": "96267281"}, {"ref": "saroshfarhan1/hull-tactical-market-prediction", "kernel_id": "96096138"}, {"ref": "mohitsharma527/eda-i", "kernel_id": "96538880"}, {"ref": "negoto/htmp-reducing-sigma-only-for-public-lb", "kernel_id": "96834448"}, {"ref": "negoto/htmp-volatility-forecasting-with-garch", "kernel_id": "96827149"}, {"ref": "youneseloiarm/hull-tactic-no-overfitting-leakage-bugs-fixed", "kernel_id": "96241981"}, {"ref": "rishabhbhartiya/hull-tactical-lightgbm", "kernel_id": "96817219"}, {"ref": "jaydeepravat/notebook772ed0e933", "kernel_id": "96184010"}, {"ref": "sunghoshim/hull-lightgbm-baseline-kr", "kernel_id": "96821013"}, {"ref": "frankmorales/htmp-lgbm", "kernel_id": "96941021"}, {"ref": "conclf/feed-forward-network", "kernel_id": "96780364"}, {"ref": "oostg0t/hull-tactical-main", "kernel_id": "96379634"}, {"ref": "quantumarya/hull-tactical-2", "kernel_id": "96345887"}, {"ref": "quantumarya/hull-prediction", "kernel_id": "96334638"}, {"ref": "manpreet023/final-submission-with-updation", "kernel_id": "96961999"}, {"ref": "seishsin/eda-i", "kernel_id": "96551755"}, {"ref": "anthonytherrien/hull-tactical-ensemble-of-solutions-format", "kernel_id": "96508016"}, {"ref": "purnamaridzkynugraha/simple-baseline-optuna-lightgbm", "kernel_id": "96576916"}, {"ref": "warun7/notebook34b4b663ca", "kernel_id": "96102759"}, {"ref": "abhaykabdwal/final-submission", "kernel_id": "96617796"}, {"ref": "afifahoque/hull-tactical-with-randomforestregressor", "kernel_id": "96027491"}, {"ref": "afifahoque/hull-tactical-with-featureselection", "kernel_id": "96177266"}, {"ref": "mitudru/hull-tactical-market-prediction", "kernel_id": "96502605"}, {"ref": "xinlizhang123/notebookdf9afc086f", "kernel_id": "96256942"}, {"ref": "langyao173/optimized-hull-tactical-model", "kernel_id": "96559926"}, {"ref": "shreyashpatil217/hull-tactical-market-prediction-optimization", "kernel_id": "96332443"}, {"ref": "vme50forcrazythurs/hull-tactical-cnn-lstm-attention-no-leakage", "kernel_id": "96912501"}, {"ref": "wasiqaliyasir/predicting-the-hull", "kernel_id": "96076579"}, {"ref": "wasiqaliyasir/best-prediction-for-hull-market", "kernel_id": "96263477"}, {"ref": "wasiqaliyasir/hull-market-forecasting-using-ml-optimization", "kernel_id": "96819241"}, {"ref": "sarthakkhedkar07/notebook8148115b73", "kernel_id": "96624252"}, {"ref": "yamatonadeshiko/hull-tactical-linear-baseline-fixed", "kernel_id": "97670705"}, {"ref": "yamatonadeshiko/hull-linear-baseline-v3", "kernel_id": "97672081"}, {"ref": "yamatonadeshiko/hull-simple-linear", "kernel_id": "97672684"}, {"ref": "yamatonadeshiko/hull-linear-working", "kernel_id": "97673264"}, {"ref": "hausch11/phase1-v15-inference-server", "kernel_id": "97116408"}, {"ref": "morodertobias/hull-cross-validation-baseline", "kernel_id": "97312384"}, {"ref": "shuntakinami/hullstarternotebook-en-lgbm-xgb-catboost-gb-ada", "kernel_id": "97198448"}, {"ref": "mahmoudashraf7400/hull-tactical-smart-solution", "kernel_id": "97594437"}, {"ref": "mahmoudashraf7400/hull-tactical-new-technique", "kernel_id": "97600718"}, {"ref": "rachpark/hull-tactical-submission", "kernel_id": "97521643"}, {"ref": "vibhojoshi/hull-market-prediction", "kernel_id": "97883946"}, {"ref": "frankmorales/htmp-colab", "kernel_id": "97585116"}, {"ref": "frankmorales/htmp-lgbm-sharpe-max-wfo-v21", "kernel_id": "97018898"}, {"ref": "amalsp220/hull-tactical-market-prediction-top-5-approach", "kernel_id": "97865929"}, {"ref": "amalsiva/trivial-solution-with-known-future", "kernel_id": "97818871"}, {"ref": "kevin4moe/hull-starter-notebook", "kernel_id": "97334325"}, {"ref": "creativepixel/trivial-solution-with-known-future", "kernel_id": "97657176"}, {"ref": "manish756/highly-effective-ensemble-model", "kernel_id": "97395830"}, {"ref": "ancorgh/tacticalalocationhull", "kernel_id": "97408781"}, {"ref": "n09nikhil/learning-market-prediction-the-simple-way", "kernel_id": "97408507"}, {"ref": "shunyafukuda/baseeda", "kernel_id": "97425831"}, {"ref": "kongyanmiao/hull-starter-notebook", "kernel_id": "97350688"}, {"ref": "uzzydizzy/hull-tactical-market-prediction-2", "kernel_id": "97883264"}, {"ref": "xmx040808/xmx-elasticnet", "kernel_id": "97919483"}, {"ref": "rahulbunker/htmp-ensemble-v1", "kernel_id": "97769068"}, {"ref": "rahulbunker/htmp-data-verification-v1", "kernel_id": "97770482"}, {"ref": "rahulbunker/htmp-volregime-v2", "kernel_id": "97981369"}, {"ref": "rahulbunker/htmp-baseline-v1", "kernel_id": "97989395"}, {"ref": "rahulbunker/htmp-lgbm-v1", "kernel_id": "97989884"}, {"ref": "bindujabavurupudi/notebook", "kernel_id": "97083615"}, {"ref": "eyefulye/notebook0fc129cab1", "kernel_id": "97420555"}, {"ref": "mathewmattma/hull-tactical-market-prediction-demo-submission", "kernel_id": "97999874"}, {"ref": "gtanmoy/hull-market-prediction-xgboost", "kernel_id": "97598400"}, {"ref": "txzhusss/hull-tactic-xgboost-no-leakage", "kernel_id": "97514283"}, {"ref": "aoiichikawajp/hull-starter-notebook", "kernel_id": "97718332"}, {"ref": "oswnavarre/hull-ridge-lasso-gb-sa-2", "kernel_id": "98521049"}, {"ref": "oswnavarre/hull-ridge-lasso-gb-sa-3", "kernel_id": "98562507"}, {"ref": "willyscorpian/hull-tactical-lstm", "kernel_id": "98774957"}, {"ref": "jaafarbk/hull-starter-notebook-60e659", "kernel_id": "98627621"}, {"ref": "icarus96/stackingewma", "kernel_id": "98194096"}, {"ref": "icarus96/3stackwithkfold", "kernel_id": "98257540"}, {"ref": "icarus96/lightgbm-catboost-xgboost-ridge", "kernel_id": "98148924"}, {"ref": "icarus96/updated", "kernel_id": "98155119"}, {"ref": "icarus96/hull-elastic", "kernel_id": "98045211"}, {"ref": "kukuchiku/notebookb59be8bfe7", "kernel_id": "98805441"}, {"ref": "rachanabisht/hull-eda", "kernel_id": "98875768"}, {"ref": "kirderf/hull-market-prediction-nn-sharpe-edition", "kernel_id": "98184185"}, {"ref": "agarwalvishal00/hull-tactical-market-prediction", "kernel_id": "98495433"}, {"ref": "charlesndemo/hull-tactical-market-prediction-linear-stack", "kernel_id": "98765960"}, {"ref": "pranshubahadur/ht-s-p500-packboost-bitplanes", "kernel_id": "98936160"}, {"ref": "timurturdalijev/daily-s-p-500-tactical-allocation", "kernel_id": "98066287"}, {"ref": "ashish090/hull-tactical-market-prediction-v1", "kernel_id": "98470957"}, {"ref": "jay25patel/hull-tactical-professional-ensemble-solution", "kernel_id": "98339624"}, {"ref": "jay25patel/hull-starter-notebook", "kernel_id": "98337251"}, {"ref": "pratimukherjee/hull-tactical-using-fractals", "kernel_id": "98263410"}, {"ref": "angelfencer/hull-starter-v2", "kernel_id": "98791590"}, {"ref": "sarahjeffreson/why-don-t-these-match", "kernel_id": "98509741"}, {"ref": "bariarituratibhai/market-prediction-16", "kernel_id": "98462989"}, {"ref": "ahmed1harfoush/hull-tactical-market-prediction", "kernel_id": "98429918"}, {"ref": "jeynii/eda-timeseries-imputation", "kernel_id": "98438304"}, {"ref": "jayasimhav/hull-tactical-market-prediction-demo-submission", "kernel_id": "98473039"}, {"ref": "cometjupyter/cmt2ull-tactical-market-prediction-demo-submission", "kernel_id": "98070730"}, {"ref": "sandeepmadanu/hull-tatical-market-pred", "kernel_id": "98396698"}, {"ref": "rahulbunker/htmp-final-submission-v1", "kernel_id": "98044069"}, {"ref": "kovalserhiy/koval-ss", "kernel_id": "98045676"}, {"ref": "wasiqaliyasir/market-prediction", "kernel_id": "98187571"}, {"ref": "wasiqaliyasir/predict-the-hull", "kernel_id": "98644577"}, {"ref": "vemulapallisaiganesh/hull-starter-notebook", "kernel_id": "98317624"}, {"ref": "gaddegowtham/hull-tactical-market-prediction-demo-submission", "kernel_id": "98580685"}, {"ref": "gaddegowtham/hull-tactical-market-prediction", "kernel_id": "98585725"}, {"ref": "gaddegowtham/hull-tactical-market-prediction-5", "kernel_id": "98580853"}, {"ref": "jliu39/gradient-final-working", "kernel_id": "98244037"}, {"ref": "jliu39/ardl-final-working", "kernel_id": "98242669"}, {"ref": "nuwaaaa0000/eda-imputation-hull-tactical-market-prediction", "kernel_id": "98527247"}, {"ref": "tdldld/hull-tactical-market-prediction-5", "kernel_id": "98068458"}, {"ref": "serenadelalala/hull-starter-notebook-6f1f70", "kernel_id": "98745497"}, {"ref": "astoriak/dda-3020", "kernel_id": "98577184"}, {"ref": "aaakshh/notebooke8cedfbc56", "kernel_id": "98847279"}, {"ref": "mahmoudashraf7400/hull-long-time-13-nov", "kernel_id": "99859492"}, {"ref": "mahmoudashraf7400/hull-lightgbm-with-new-technique-vvol", "kernel_id": "99992582"}, {"ref": "mahmoudashraf7400/hull-zip-two-models", "kernel_id": "99167325"}, {"ref": "mahmoudashraf7400/hull-lightgbm-model", "kernel_id": "99175514"}, {"ref": "berkayzkan/prediction-with-only-machine-learning", "kernel_id": "99303001"}, {"ref": "berkayzkan/hybrid-ml-strategy-for-hull-tactical-prediction", "kernel_id": "99324866"}, {"ref": "frankmorales/mvp-htmp-final", "kernel_id": "99795719"}, {"ref": "massyalexandre/autoencoder-for-regime-detection", "kernel_id": "99395427"}, {"ref": "arths520/hull-tactical-sunshy", "kernel_id": "99601140"}, {"ref": "yokesh29/hull-tactical", "kernel_id": "99230364"}, {"ref": "rohitprodhan7/hull-tactics-eda", "kernel_id": "99724415"}, {"ref": "lixuehao/hull-tactical", "kernel_id": "99366775"}, {"ref": "praveenchugh/hull-tactical-market-prediction-by-praveen", "kernel_id": "99533949"}, {"ref": "mdnaimislam165436/hull-tactical-market-prediction", "kernel_id": "99131901"}, {"ref": "sachchidanandadaki/hull-tactical1", "kernel_id": "99346931"}, {"ref": "simonfan7/hull-tactical-spy-eda", "kernel_id": "99530234"}, {"ref": "changyizhou/aml-project", "kernel_id": "99480017"}, {"ref": "jaymhetre/notebook6d5939b5cd", "kernel_id": "99404211"}, {"ref": "gl0wglow/glow1", "kernel_id": "99839001"}, {"ref": "passionke/submission-e2e-gpu", "kernel_id": "100995166"}, {"ref": "obiaf88/markov-model", "kernel_id": "100742340"}, {"ref": "brianeide/pipeline", "kernel_id": "100731737"}, {"ref": "frankmorales/mvp-htmp-final-v3", "kernel_id": "100087484"}, {"ref": "pdorival/model-training-hull-tactical", "kernel_id": "100022749"}, {"ref": "onya31/hull-tactical-market-prediction-japanese-tutoria", "kernel_id": "100694345"}, {"ref": "wanhin/notebookfb859c3fbf", "kernel_id": "100120028"}, {"ref": "ocwerfrancis/hull-tactical-market-prediction", "kernel_id": "100485206"}, {"ref": "broken02/hull-market-prediction", "kernel_id": "100610852"}, {"ref": "lucasgabrieloreki/hull2-0", "kernel_id": "100282951"}, {"ref": "lucasgabrieloreki/notebookdesafiohull", "kernel_id": "100061638"}, {"ref": "anvithpothula/ap-model-hull-tactical-marker-prediction", "kernel_id": "100345465"}, {"ref": "tdldld/strategy-8-0-night-thinker-ultra-2", "kernel_id": "100101072"}, {"ref": "lunacyindigo/marketprediction2025", "kernel_id": "100463386"}, {"ref": "shiv9am/hull-market-prediction", "kernel_id": "100752301"}, {"ref": "cjacob314/notebooke77c09fa9e", "kernel_id": "100492590"}, {"ref": "dylanhe06/ms-eval-v1-based-on-fer", "kernel_id": "100462509"}, {"ref": "aphoristicartist/hull-inference-server", "kernel_id": "101338028"}, {"ref": "tapasb/hull-tactical-v10-defensive-momentum", "kernel_id": "101832869"}, {"ref": "tapasb/hull-tactical-mean-baseline-working", "kernel_id": "101542591"}, {"ref": "tapasb/hull-tactical-mean-baseline", "kernel_id": "101523347"}, {"ref": "youneseloiarm/hull-tactical-ensembling-trees-online-training-001", "kernel_id": "101914302"}, {"ref": "handudu/base-noleak-val-local", "kernel_id": "101453728"}, {"ref": "georgipopov11/hull-starter-notebook", "kernel_id": "101564254"}, {"ref": "typytt/cs-514", "kernel_id": "101654731"}, {"ref": "cherrygo/newwwwww", "kernel_id": "101457657"}, {"ref": "bariarituratibhai/notebook8ae7704691", "kernel_id": "101548708"}, {"ref": "bariarituratibhai/prediction-optimal", "kernel_id": "101176451"}, {"ref": "bariarituratibhai/final-2025", "kernel_id": "101232267"}, {"ref": "bariarituratibhai/marke89", "kernel_id": "101209226"}, {"ref": "triadim12/pekz-eda", "kernel_id": "101205217"}, {"ref": "milindmaurya/notebook477f5f4641", "kernel_id": "101927155"}, {"ref": "swapnilhedaoo/hull-starter-notebook", "kernel_id": "101705489"}, {"ref": "swapnilhedaoo/hull-starter-notebook-0bcdae", "kernel_id": "101721188"}, {"ref": "kriti83/market-prediction", "kernel_id": "101332220"}, {"ref": "tahaghazi4/notebook819227749c", "kernel_id": "101328801"}, {"ref": "kingemperor/lucifer", "kernel_id": "101860111"}, {"ref": "rocknroll17/notebookcc630fb259", "kernel_id": "101905904"}, {"ref": "nandshrimangale/notebooka812a6bb88", "kernel_id": "101491317"}, {"ref": "tdldld/hull-v51-xtreme", "kernel_id": "101826556"}, {"ref": "tdldld/hull-strategy-7-3-damped-v2-txt", "kernel_id": "101573926"}, {"ref": "tdldld/contrarian-min-variance-edge-cases", "kernel_id": "101335692"}, {"ref": "lucaluo925/hull-new-model", "kernel_id": "101336768"}, {"ref": "zhangxq123/notebookhull1", "kernel_id": "101440084"}, {"ref": "jordanzhang823/cs514-elon-musk", "kernel_id": "101833559"}, {"ref": "gssreshta/hull-tactical-market-prediction-demo-submission", "kernel_id": "101702124"}, {"ref": "gssreshta/hull-tactical-predictions", "kernel_id": "101703981"}, {"ref": "mshahmuhammad/house-price-advanced-prediction", "kernel_id": "101872202"}, {"ref": "guankaisamzhu/lightgbm-ensembled-second-run", "kernel_id": "101149685"}, {"ref": "aphoristicartist/hull-ensemble-v2", "kernel_id": "102268015"}, {"ref": "aphoristicartist/hull-ensemble-final", "kernel_id": "102268330"}, {"ref": "aphoristicartist/hull-ensemble-prod", "kernel_id": "102269562"}, {"ref": "aphoristicartist/hull-ensemble-working", "kernel_id": "102269971"}, {"ref": "aphoristicartist/hull-simple-ensemble", "kernel_id": "102271280"}, {"ref": "aphoristicartist/hull-weighted-ensemble-5-models", "kernel_id": "102272444"}, {"ref": "aphoristicartist/hull-weighted-ensemble-no-internet", "kernel_id": "102308674"}, {"ref": "aphoristicartist/hull-weighted-leak-safe", "kernel_id": "102309894"}, {"ref": "aphoristicartist/hull-starter-leak-safe", "kernel_id": "102310506"}, {"ref": "aphoristicartist/hull-stacked-ensemble", "kernel_id": "102266593"}, {"ref": "aphoristicartist/hull-elasticnet-baseline", "kernel_id": "102039882"}, {"ref": "aphoristicartist/hull-lgbm-fixed", "kernel_id": "102010306"}, {"ref": "hausch11/hull-tactical-exp-02-inference-server", "kernel_id": "102993894"}, {"ref": "hausch11/hull-tactical-exp-02-enhanced-tier-1", "kernel_id": "102986974"}, {"ref": "obiaf88/hidden-markov-model-with-viterbi-1step", "kernel_id": "102972477"}, {"ref": "tungdang1108/deep-eda-smart-feature-selection-ml-models", "kernel_id": "102040296"}, {"ref": "tungdang1108/explainable-ml-probabilistic-ngboost-bart", "kernel_id": "102236578"}, {"ref": "toshikawa80/hull-tactical-submission", "kernel_id": "102376324"}, {"ref": "toshikawa80/hull-tactical-enhanced-diversity-model", "kernel_id": "102171958"}, {"ref": "tusharpanthri/hull-tactical-v1-1", "kernel_id": "102791933"}, {"ref": "tusharpanthri/notebook83e9367f3a", "kernel_id": "102996656"}, {"ref": "dynamo14324/htmp-initial-random-forest-baseline", "kernel_id": "102742561"}, {"ref": "dynamo14324/htmp-initial-random-forest-baseline-v2", "kernel_id": "102743196"}, {"ref": "dynamo14324/htmp-initial-random-forest-baseline-v3", "kernel_id": "102743556"}, {"ref": "negoto/htmp-solution-analysis-with-plotnine", "kernel_id": "102199909"}, {"ref": "chakrabhuanavdeva/adaptive-factor-fusion-regime-model", "kernel_id": "102263924"}, {"ref": "boristown/hull-starter-notebook-baseline", "kernel_id": "102949377"}, {"ref": "mahmoudashraf7400/hull-dl-sec", "kernel_id": "102779942"}, {"ref": "mahmoudashraf7400/hull-3-model-ensemble", "kernel_id": "102589086"}, {"ref": "sunghoshim/hull-catboost-baseline-kr", "kernel_id": "102510403"}, {"ref": "theunforgiven7/aka-baseline-www", "kernel_id": "102346482"}, {"ref": "habibdiakite/hull-tactical-market-prediction-habib-diakit", "kernel_id": "102687288"}, {"ref": "mianwang1024/notebookaa1fc409de", "kernel_id": "102748635"}, {"ref": "mianwang1024/notebookcf19501c3d", "kernel_id": "102749439"}, {"ref": "errajanikantawasthi/rkawasthi-hull-ticket", "kernel_id": "102876586"}, {"ref": "monkeypod/1203-presentation", "kernel_id": "102300364"}, {"ref": "naufalraihanr/hull-tactical-funds-market-prediction", "kernel_id": "102433735"}, {"ref": "sufya6/hulltactical-advanced-online-ensemble-xgb-lg-cat", "kernel_id": "102067315"}, {"ref": "rishavutkarsh/hull-starter-notebook", "kernel_id": "102199992"}, {"ref": "rohanrk1813/hull-tactical", "kernel_id": "102992342"}, {"ref": "youcanzheng/dda3020-project-122090627", "kernel_id": "102185939"}, {"ref": "sostar0832/fork-of-mlp-project4-step4-evaluation-and-backtest", "kernel_id": "102736210"}, {"ref": "bariarituratibhai/prophet-of-the-market-1-hull-tactical", "kernel_id": "102718810"}, {"ref": "bariarituratibhai/ht-prophet-market-prediction", "kernel_id": "102720548"}, {"ref": "bariarituratibhai/excess-return-market-prediction", "kernel_id": "102720030"}, {"ref": "bariarituratibhai/market-prediction-lightgbm", "kernel_id": "102229032"}, {"ref": "bariarituratibhai/final-2025-lightgbm", "kernel_id": "102230704"}, {"ref": "bariarituratibhai/final25", "kernel_id": "102224090"}, {"ref": "mayuringle8890/interpretable-probabilistic-ml-predictions", "kernel_id": "102439010"}, {"ref": "shaheemshaik/hull-market-prediction", "kernel_id": "102898669"}, {"ref": "lawalgiyath12/notebook59b5d9afa7", "kernel_id": "102724747"}, {"ref": "rwidasamir/hull-tactical-baseline", "kernel_id": "102807067"}, {"ref": "sunwoobang/mlp4-nv2", "kernel_id": "102356331"}, {"ref": "xmx040808/xmx-lightgbm", "kernel_id": "102109850"}, {"ref": "sherlockbanks/hull-tac-submission", "kernel_id": "102690822"}, {"ref": "dimpalyadav29/hull-starter", "kernel_id": "102803455"}, {"ref": "adam3417/notebook236db770ab", "kernel_id": "102754510"}, {"ref": "wasiqaliyasir/submission-analysis-hull-analysis-score-17-3968", "kernel_id": "102974315"}, {"ref": "wasiqaliyasir/hull-best-prediction-eda-analysis", "kernel_id": "102606534"}, {"ref": "wasiqaliyasir/hull-tactical-market-prediction", "kernel_id": "102582247"}, {"ref": "wasiqaliyasir/hull-prediction", "kernel_id": "102467616"}, {"ref": "wasiqaliyasir/hull-quick-submission", "kernel_id": "102364054"}, {"ref": "wasiqaliyasir/hull-market-prediction", "kernel_id": "102158742"}, {"ref": "longtaoxu/training-model-for-ams-586", "kernel_id": "102204467"}, {"ref": "mymoonstar/notebook8882c918ea", "kernel_id": "102508183"}, {"ref": "hyunee03/notebook2e6658c179", "kernel_id": "102866224"}, {"ref": "worenne/notebook639a55f138", "kernel_id": "102582215"}, {"ref": "jcbscbsusc/hull-tactical-market-prediction-demo-submission", "kernel_id": "102848963"}, {"ref": "jcbscbsusc/notebook", "kernel_id": "102506925"}, {"ref": "zsy1023002160/fork-of-notebook6f15ef092a", "kernel_id": "102853963"}, {"ref": "zsy1023002160/notebook6f15ef092a", "kernel_id": "102835179"}, {"ref": "wangchongjun/planb", "kernel_id": "102880688"}, {"ref": "zhengyyyy/zhengyue-p", "kernel_id": "102833415"}, {"ref": "tanzhuoran/notebookeb97d72434", "kernel_id": "102851647"}, {"ref": "tanzhuoran/parquet", "kernel_id": "102849745"}, {"ref": "sxhhhh/interpretable-prediction-probabilistic-ml", "kernel_id": "102335081"}, {"ref": "bdgcsgf/notebooke76ae4d03a", "kernel_id": "102512933"}, {"ref": "jietaorachelliao/notebooke0cdeb3bc4", "kernel_id": "102464983"}, {"ref": "maojingyiyi/hull-tactical-market-prediction-demo-submission", "kernel_id": "102954818"}, {"ref": "maojingyiyi/hull-tactical", "kernel_id": "102955935"}, {"ref": "tdldld/hull-strategy-3-3-s-aggresive-sin-no", "kernel_id": "102206590"}, {"ref": "dylanhe06/lightgbm", "kernel_id": "102223390"}, {"ref": "oluolorode/hull-tactical-competition-submission", "kernel_id": "102414837"}, {"ref": "serenadelalala/hull-pipeline-xgboost", "kernel_id": "102667181"}, {"ref": "zhouozuyao/testfroot", "kernel_id": "102520493"}, {"ref": "dengmingyu/notebookd99d3b6510", "kernel_id": "102340266"}, {"ref": "dengmingyu/notebook83569399fc", "kernel_id": "102436701"}, {"ref": "dengmingyu/notebook2c2f17e71d", "kernel_id": "102449681"}, {"ref": "shenalisa/notebook83569399fc", "kernel_id": "102436514"}, {"ref": "shenalisa/notebookff106e23a8", "kernel_id": "102705904"}, {"ref": "shenalisa/notebook2c2f17e71d", "kernel_id": "102874046"}, {"ref": "shenalisa/draft1129", "kernel_id": "102875581"}, {"ref": "shenalisa/notebook7ab4f562c5", "kernel_id": "102971283"}, {"ref": "guankaisamzhu/rawfeatures-stable-model", "kernel_id": "102269851"}, {"ref": "arnavpathak04/efficientmarket", "kernel_id": "102387803"}, {"ref": "dohanse/submission-csv", "kernel_id": "102540465"}, {"ref": "tvmilitary/hull-tactical-starter-baseline", "kernel_id": "102734874"}, {"ref": "lokeshkolli/hull-market-predictions", "kernel_id": "102675870"}, {"ref": "s1riusw/notebookf444cac909", "kernel_id": "102825335"}, {"ref": "bhavs22/hull-tactical-solution", "kernel_id": "102934304"}, {"ref": "yanpapadakis/hulltacticaleda", "kernel_id": "103385325"}, {"ref": "byfone/hull-forthright-public-lb-hunting", "kernel_id": "103163831"}, {"ref": "shams1/market", "kernel_id": "103156536"}, {"ref": "hausch11/hull-tactical-exp-02-v7-correct-split", "kernel_id": "103407921"}, {"ref": "hausch11/hull-tactical-exp-02-v8-debug", "kernel_id": "103408409"}, {"ref": "hausch11/hull-tactical-comprehensive-features-289", "kernel_id": "103554218"}, {"ref": "hausch11/hull-tactical-exp04-optimized", "kernel_id": "103570887"}, {"ref": "hausch11/hull-tactical-exp07-combined-best", "kernel_id": "103588753"}, {"ref": "hausch11/hull-tactical-exp06-downside-baseline", "kernel_id": "103587207"}, {"ref": "hausch11/hull-tactical-comprehensive-features-275", "kernel_id": "103508658"}, {"ref": "hausch11/hull-tactical-final-early-stopping-cv-1-18", "kernel_id": "103633840"}, {"ref": "hausch11/hull-tactical-final-early-stopping-submission", "kernel_id": "103633994"}, {"ref": "hausch11/hull-tactical-exp-02-v5-quantile-fixed", "kernel_id": "103034270"}, {"ref": "hausch11/hull-tactical-exp-02-v6-correct-target", "kernel_id": "103036396"}, {"ref": "hausch11/hull-tactical-exp-02-v3-quantile", "kernel_id": "103006843"}, {"ref": "hausch11/hull-tactical-constant-baseline", "kernel_id": "103002076"}, {"ref": "hausch11/hull-tactical-exp-02-v2-fixed", "kernel_id": "103002087"}, {"ref": "hausch11/hull-tactical-exp-02-v4-moderate-3x", "kernel_id": "103029113"}, {"ref": "tungdang1108/interpretable-prediction-simple-rl", "kernel_id": "103526719"}, {"ref": "tungdang1108/interpretable-prediction-bayesian-model", "kernel_id": "103074248"}, {"ref": "yasunorim/diagnostic-driven-learning-journey", "kernel_id": "103635282"}, {"ref": "dynamo14324/manus-ai-lgbm-full-pipeline-v2", "kernel_id": "103124366"}, {"ref": "dynamo14324/manus-ai-lgbm-submission-agent-v3", "kernel_id": "103124452"}, {"ref": "dynamo14324/manus-ai-lgbm-submission-agent-v3-script", "kernel_id": "103124545"}, {"ref": "dynamo14324/manus-ai-lgbm-final-submission-v4", "kernel_id": "103124692"}, {"ref": "dynamo14324/manus-ai-lgbm-final-submission-v5", "kernel_id": "103124763"}, {"ref": "dynamo14324/manus-ai-lgbm-final-submission-v6", "kernel_id": "103125091"}, {"ref": "lauvfpitipak/hull-tactical-market-prediction-v-2", "kernel_id": "103560391"}, {"ref": "lauvfpitipak/hull-tactical-market-prediction", "kernel_id": "103567259"}, {"ref": "alexandrecpassos/notebook26f468d531", "kernel_id": "103467517"}, {"ref": "usainabdul/market-prediction-project-draft", "kernel_id": "103774662"}, {"ref": "imnaho/evaluation-driven-strategy-design", "kernel_id": "103542396"}, {"ref": "imnaho/evaluation-driven-strategy-design-english", "kernel_id": "103546924"}, {"ref": "siddarths18/solution-final", "kernel_id": "103382041"}, {"ref": "shiv2004/hull-market-prediction", "kernel_id": "103255510"}, {"ref": "shiv2004/fork-of-hull-market-prediction", "kernel_id": "103256182"}, {"ref": "anthonymorciglio/submission-parquet", "kernel_id": "103601889"}, {"ref": "frankmorales/htmp-optuna-v1", "kernel_id": "103094185"}, {"ref": "frankmorales/htmp-optuna-v8-final-cpu", "kernel_id": "103455104"}, {"ref": "frankmorales/htmp-optuna-v3", "kernel_id": "103403112"}, {"ref": "raunakdey07/hull-market-prediction", "kernel_id": "103138124"}, {"ref": "yang25/ml-p4", "kernel_id": "103262896"}, {"ref": "tingkaigong/hull-market-prediction-just-improved", "kernel_id": "103634624"}, {"ref": "eliassaker/hull-tactical-market-prediction", "kernel_id": "103188771"}, {"ref": "antonoof/top50-test-killer-no-brain-solution", "kernel_id": "103546366"}, {"ref": "n09nikhil/your-notebook-vs-the-17-507-beast", "kernel_id": "103447477"}, {"ref": "realvisheshbhardawaj/market-prediction", "kernel_id": "103552082"}, {"ref": "a0087950/hull-starter-notebook", "kernel_id": "103621579"}, {"ref": "yuchenhgwang/notebook2c2f17e71d-2343eb", "kernel_id": "103175088"}, {"ref": "sanye233/hull-tactical-market-prediction-demosubmiss-822e19", "kernel_id": "103167419"}, {"ref": "zhaoxiaotan/notebook-hull2-78897e", "kernel_id": "103239000"}, {"ref": "zhaoxiaotan/fullcompetion-2", "kernel_id": "103074052"}, {"ref": "cherrygo/wwwwwwww", "kernel_id": "103234145"}, {"ref": "cherrygo/aaaaaaaqaq", "kernel_id": "103048320"}, {"ref": "cherrygo/tell-me-why", "kernel_id": "103051985"}, {"ref": "xiyaru/notebook-hull2", "kernel_id": "103126005"}, {"ref": "xiyaru/hull-tactical-1", "kernel_id": "103050777"}, {"ref": "xiyaru/notebook4ce3d05746", "kernel_id": "103048239"}, {"ref": "xiyaru/notebookcfc1736ccd", "kernel_id": "103039406"}, {"ref": "bariarituratibhai/prophet-market-prediction", "kernel_id": "103268456"}, {"ref": "muhammaddanyalmalik/hull-notebook", "kernel_id": "103593743"}, {"ref": "minsoek/fork-of-mlp-project4-step4-evaluation-and-b-cd41e0", "kernel_id": "103053151"}, {"ref": "z1493916656/noleak-5cv", "kernel_id": "103522576"}, {"ref": "lawalgiyath12/tactical-harmony", "kernel_id": "103048416"}, {"ref": "marwanashref/hull-public-lb-17-507-42th-place", "kernel_id": "103379272"}, {"ref": "starfishcan/randomforest-selection-starfishcan", "kernel_id": "103067089"}, {"ref": "lixuehao/hull-tactical-market-prediction-2", "kernel_id": "103945453"}, {"ref": "fishmeat97/s-p-500-competition", "kernel_id": "103512372"}, {"ref": "fishmeat97/competition-s-p500", "kernel_id": "103602928"}, {"ref": "deeplumiere/super-hull", "kernel_id": "103047053"}, {"ref": "keshavv17/notebook104a0e2662", "kernel_id": "103594765"}, {"ref": "reikewl/power-s-hull-tactical", "kernel_id": "103167434"}, {"ref": "hassangasem/hull-tactical-market-prediction-deep-time-series", "kernel_id": "103130339"}, {"ref": "ladiposamson/hull-tactical-market-prediction-2025", "kernel_id": "103502677"}, {"ref": "voltairglobalhub/notebook49a6810e03", "kernel_id": "103401784"}, {"ref": "wasiqaliyasir/quick-prediction-submission-with-prophet-analysis", "kernel_id": "103563200"}, {"ref": "wasiqaliyasir/direct-submission-of-hull-market", "kernel_id": "103560363"}, {"ref": "wasiqaliyasir/quick-hull-market-prediction", "kernel_id": "103288612"}, {"ref": "wasiqaliyasir/prediction-the-hull-score-10-192", "kernel_id": "103182182"}, {"ref": "wasiqaliyasir/hull-quick-prediction", "kernel_id": "103066745"}, {"ref": "zwxiang123/hull-tactical-market-prediction", "kernel_id": "103326287"}, {"ref": "zwxiang123/hull-tactical-market-prediction-multi-window", "kernel_id": "103613141"}, {"ref": "jaswanth7722/hull-tactical", "kernel_id": "103696950"}, {"ref": "nykwak/test-2", "kernel_id": "103262158"}, {"ref": "fedrayuny/ensemble-gbm", "kernel_id": "103015701"}, {"ref": "zhangxq123/notebookc2fdc1898a", "kernel_id": "103239929"}, {"ref": "zhangxq123/notebook-hull2", "kernel_id": "103119455"}, {"ref": "faiznan/notebookwzh1", "kernel_id": "103667053"}, {"ref": "serenadelalala/hull-pipeline-catboost", "kernel_id": "103140701"}, {"ref": "serenadelalala/hull-pipeline-lightgbm", "kernel_id": "103137669"}, {"ref": "ililune/notebook709a378c48", "kernel_id": "103089174"}, {"ref": "ililune/fork-of-notebook709a378c48-60977c", "kernel_id": "103949434"}, {"ref": "shivamk509/notebooka1207c3359", "kernel_id": "103228460"}, {"ref": "zhang0604/hull-tactical-market-prediction-demo-submission", "kernel_id": "103144108"}, {"ref": "guankaisamzhu/hull-tactical-final", "kernel_id": "103239731"}, {"ref": "yanhao2778/notebooke6a11b7dd1", "kernel_id": "103754728"}, {"ref": "yanhao2778/notebook693588ad9f", "kernel_id": "103373913"}, {"ref": "slelesspixr/notebook01546ecd2f", "kernel_id": "103176258"}, {"ref": "bc0102/hull-starter-notebook-but-better", "kernel_id": "103067924"}, {"ref": "henryxie123/notebooke8e5f3987a", "kernel_id": "103065118"}, {"ref": "xingqiliang/notebook383972e4ab", "kernel_id": "103049398"}, {"ref": "liuchang0712/mini-proj", "kernel_id": "103486587"}, {"ref": "liuchang0712/hull-tactical-proj-test", "kernel_id": "103052642"}, {"ref": "jacobtinkelman/finalprojectmodeljt", "kernel_id": "103411392"}, {"ref": "maiweixuan/maiweixuan", "kernel_id": "103370139"}, {"ref": "zimuhuang1019/notebookaa2b3b5c68", "kernel_id": "103356635"}, {"ref": "brokennose/hard-hull-xgb", "kernel_id": "104476263"}, {"ref": "brokennose/soft-hull-xgb", "kernel_id": "104476572"}, {"ref": "codeislife/3-hull-eda", "kernel_id": "104552832"}, {"ref": "nareyko/hull-tactical-market-prediction-leaderboard-eda", "kernel_id": "104682506"}, {"ref": "shemskurtoglu/hulltac", "kernel_id": "104268254"}, {"ref": "demko1/lstm-using-mse-and-sharpe-based-loss", "kernel_id": "104486219"}, {"ref": "shadesh/quant-ensemble-lstm-market-predictor", "kernel_id": "104849682"}, {"ref": "debasmita1/hulltactical-regimeaware-sharpeoptimized", "kernel_id": "104438186"}, {"ref": "vladimirnasalciuc/hull-adaptive-3-tier-allocation-signal-or-silence", "kernel_id": "104454536"}, {"ref": "meetbabariya/winner-prediction-my-gamble-submission", "kernel_id": "104585871"}, {"ref": "syedmuhammadmehrands/time-series-training-pipeline", "kernel_id": "104343686"}, {"ref": "syedmuhammadmehrands/hull-tactical-submission-file-final", "kernel_id": "104478273"}, {"ref": "syedmuhammadmehrands/hull-tactical-training-pipeline-full-train-set", "kernel_id": "104539813"}, {"ref": "adostie3/hull-starter-notebook", "kernel_id": "104187312"}, {"ref": "ayepayc/hull-tactical-competition-journal", "kernel_id": "104540339"}, {"ref": "sammas12312/12-13-2025-hull-tactical-grind", "kernel_id": "104422102"}, {"ref": "wesleyklaassen/ht-final-v1", "kernel_id": "104574698"}, {"ref": "martindelamare/notebook8d2a4d7c29", "kernel_id": "104542567"}, {"ref": "wasiqaliyasir/best-prediction-using-hull", "kernel_id": "104358136"}, {"ref": "wasiqaliyasir/increase-public-lb-optimization", "kernel_id": "104438802"}, {"ref": "wasiqaliyasir/hull-market-direct-prediction", "kernel_id": "104103070"}, {"ref": "wasiqaliyasir/best-optimization-prediction-score", "kernel_id": "104559709"}, {"ref": "djt5ingh/fortress-inference-kernel", "kernel_id": "104546561"}, {"ref": "maojingyiyi/lstm-lgb-xgb-cat-stacking", "kernel_id": "104844441"}, {"ref": "maojingyiyi/stacking", "kernel_id": "104521696"}, {"ref": "aifortune/baseline", "kernel_id": "104509538"}, {"ref": "laasen/hull2", "kernel_id": "104550194"}, {"ref": "tdldld/dia-final-sgo", "kernel_id": "104561679"}, {"ref": "thomascottereau/submission-notebook", "kernel_id": "104582635"}, {"ref": "shivamk509/hull-tactical-market-prediction-demo-submission", "kernel_id": "104504549"}, {"ref": "codeislife/8-hull-tactical-dec-2025", "kernel_id": "105866356"}, {"ref": "codeislife/7-hull-tactical-dec-2025", "kernel_id": "105859922"}, {"ref": "abdessamadakharaz/my-code", "kernel_id": "105341823"}, {"ref": "arths520/hull-tactical-market-prediction-2", "kernel_id": "105381833"}, {"ref": "jiangshangbin/fffffffffffffffffffffffff", "kernel_id": "105974475"}, {"ref": "jiangshangbin/dadadadaddadadada", "kernel_id": "105542243"}, {"ref": "raghav0079/hull-tactical", "kernel_id": "105586301"}, {"ref": "sonu07022005/prediction-through-xgboost", "kernel_id": "105044387"}, {"ref": "abhinavsharma0706/hull-2", "kernel_id": "106093608"}, {"ref": "lixuehao/hull-tactical-sunshy", "kernel_id": "106071281"}, {"ref": "maojingyiyi/hull-tactical-market-prediction", "kernel_id": "106088843"}, {"ref": "dynamo14324/hull-tactical-lgbm-submission", "kernel_id": "107660966"}, {"ref": "dynamo14324/hull-tactical-lgbm-baseline-with-fe", "kernel_id": "107661018"}, {"ref": "aroraaakansha/notebookee1b214f8e", "kernel_id": "107359462"}, {"ref": "rodguelph/hull-tactical-lgbm-deep-cv-0-7977", "kernel_id": "108425366"}, {"ref": "abhinavsharma0706/hull-05", "kernel_id": "109308704"}, {"ref": "kevhxx/hull-tactic-feature-eng-processing-training-df0238", "kernel_id": "109195926"}, {"ref": "sunlay/s-p-500-eda-and-trend-model", "kernel_id": "111826382"}, {"ref": "mohammedalnoorsalama/base-line-with-lightgbm-ensemble-features-eng", "kernel_id": "113869572"}, {"ref": "stoicapaul/hull-submision", "kernel_id": "114541592"}, {"ref": "mohammedalnoorsalama/emh-is-false-the-eda-hull-tactical", "kernel_id": "114761801"}, {"ref": "dynamo14324/hull-tactical-high-roi-ensemble-optuna-tuning", "kernel_id": "115909578"}, {"ref": "qamarmath/hull-tactical-causal-lgbm-market-volatility", "kernel_id": "125243531"}, {"ref": "ashar7777/hull-tactical-market-prediction", "kernel_id": "127016802"}, {"ref": "surrround/pairwise-features-to-tactical-allocation", "kernel_id": "132744637"}]}
{"competition_id": "111549", "kernels": []}
{"competition_id": "111564", "kernels": [{"ref": "jiryanfarokhi/bdc-internal-satria-data", "kernel_id": "88944037"}, {"ref": "aliefrandiansyah/public-0-12104-private-0-16577", "kernel_id": "89331239"}, {"ref": "danielsandii/bdctrial1bert-afcaa2", "kernel_id": "89133010"}]}
{"competition_id": "111644", "kernels": [{"ref": "mhskaya/buy-or-not-purchase-intent-prediction", "kernel_id": "123262317"}]}
{"competition_id": "111645", "kernels": []}
{"competition_id": "111647", "kernels": []}
{"competition_id": "111654", "kernels": []}
{"competition_id": "111660", "kernels": [{"ref": "tanvirulchowdhury/c221129-tanvirul", "kernel_id": "88912669"}, {"ref": "mashumabdullah/c221148-abdullah-mashum", "kernel_id": "88867481"}, {"ref": "hasannazmul/c201018-nazmulhasan", "kernel_id": "88899284"}, {"ref": "maharajhossain/c221133-maharaj-prediction", "kernel_id": "88916937"}, {"ref": "maharajhossain/c221133-maharaj-data-analysis", "kernel_id": "88921183"}, {"ref": "nafiz143/c221361-analysis", "kernel_id": "88914096"}, {"ref": "nafiz143/c221361-prediction", "kernel_id": "88908335"}, {"ref": "sazzademon/notebook-c221145-sazzadul-islam-data-analysis", "kernel_id": "88967697"}, {"ref": "moinulahsanfoisal/c221124-moinul-ahsan-foisal", "kernel_id": "88916065"}, {"ref": "alambinamin/c221362-ml-final", "kernel_id": "88908460"}, {"ref": "c221138faisalmahmod/c221138-predic", "kernel_id": "88918489"}, {"ref": "c221138faisalmahmod/c221138-analysis", "kernel_id": "88922099"}, {"ref": "c221132durjoymohajon/c221132-da", "kernel_id": "88912711"}, {"ref": "c221132durjoymohajon/c221132", "kernel_id": "88908046"}, {"ref": "c221150arponbiswas/arponc221150-prediction", "kernel_id": "88908042"}, {"ref": "c221150arponbiswas/arponc221150-data-anal", "kernel_id": "88911001"}, {"ref": "mdsouravoyaj/c221126", "kernel_id": "88918980"}, {"ref": "juhaertawsif/c221157-analysisq", "kernel_id": "88918261"}, {"ref": "juhaertawsif/c221157-prediction", "kernel_id": "88916253"}, {"ref": "mdhumaiankabir/c221134-humaian-analysis", "kernel_id": "88916165"}, {"ref": "mdhumaiankabir/c221134-humaian-prediction", "kernel_id": "88911477"}, {"ref": "morsalin35r/c221135r-prediction", "kernel_id": "88913359"}, {"ref": "morsalin35r/c221135r-analysis", "kernel_id": "88918281"}, {"ref": "mehedi212121/c221123-analysis", "kernel_id": "88922028"}, {"ref": "mehedi212121/c221123-prediction", "kernel_id": "88921022"}, {"ref": "c221156tanviralam/c221156-analysis", "kernel_id": "88981393"}, {"ref": "c221156tanviralam/c221156tanvir-alam", "kernel_id": "88913129"}, {"ref": "muhammadfazlulkarim/c211083r-analysis-notebook", "kernel_id": "88936354"}, {"ref": "kjamil/c221155-prediction", "kernel_id": "88916352"}, {"ref": "kjamil/c221155-analysis", "kernel_id": "88918308"}, {"ref": "mdiftekharislamtamim/c221143-analysis", "kernel_id": "88913791"}, {"ref": "mdiftekharislamtamim/c221143-prediction", "kernel_id": "88906422"}, {"ref": "c211089istiuk/notebook0313fd05d6", "kernel_id": "88906786"}, {"ref": "c211089istiuk/c211089-analysis", "kernel_id": "88968025"}, {"ref": "anindak/c221153-aninda", "kernel_id": "88980850"}, {"ref": "anindak/c221153-analysis", "kernel_id": "88983014"}, {"ref": "c221147/faisal-mahmud-c221147", "kernel_id": "88895130"}, {"ref": "c221358nafismuhtasin/c221358-nafis", "kernel_id": "88912167"}, {"ref": "c221136tanvir/c221136-prediction", "kernel_id": "88906881"}, {"ref": "c221136tanvir/c221136-analysis", "kernel_id": "88964087"}, {"ref": "mohammadmominulhoque/c221137-prediction", "kernel_id": "88916304"}, {"ref": "mohammadmominulhoque/c221137-analysis", "kernel_id": "88918296"}, {"ref": "mihmaruf/c-221154", "kernel_id": "88915805"}, {"ref": "mihmaruf/c221154-prediction", "kernel_id": "88955459"}, {"ref": "saidulalamc221158/c221158-saidul", "kernel_id": "88916701"}, {"ref": "saidulalamc221158/c221158-saidul-analysis", "kernel_id": "88918217"}, {"ref": "mdmainudin76/c211086-abdul-aziz-data-analysis", "kernel_id": "88977888"}, {"ref": "asmaansari12/airline-customer-satisfaction-pred", "kernel_id": "89298833"}]}
{"competition_id": "111665", "kernels": [{"ref": "lilylialu/exploration-idea-notebook", "kernel_id": "92915374"}, {"ref": "amanichabouni/ax-branin-mobo-demo", "kernel_id": "93373971"}]}
{"competition_id": "111698", "kernels": [{"ref": "verifyitisyou/advanced-starter-code", "kernel_id": "88837157"}, {"ref": "verifyitisyou/starter-code", "kernel_id": "88834727"}]}
{"competition_id": "111727", "kernels": [{"ref": "ashiqfiroz/lost-sleep", "kernel_id": "90138251"}, {"ref": "benjaminlundkvist/puffy-lost-sleep-predicting-refunds-with-lightgbm", "kernel_id": "91403940"}, {"ref": "alenakn/user-flow-sankey-diagram", "kernel_id": "123091770"}]}
{"competition_id": "111732", "kernels": [{"ref": "elizabethswannthe/baseline", "kernel_id": "89317588"}]}
{"competition_id": "111811", "kernels": [{"ref": "kaviya25mid1026/kaviya-25mid1026", "kernel_id": "97278220"}]}
{"competition_id": "111876", "kernels": [{"ref": "shevtsovapolina/train-gnn", "kernel_id": "88002533"}, {"ref": "aasirwaseer/real-estate-demand-playbook", "kernel_id": "89728724"}, {"ref": "sandhyaavasthi/ensemble-method-xgboost-for-real-estate-demand", "kernel_id": "89881513"}, {"ref": "valentinemwai/real-estate-demand-prediction-china-lightgbm", "kernel_id": "89044097"}, {"ref": "ambrosm/red-explained-baseline", "kernel_id": "89087149"}, {"ref": "valliansayoga/multiple-timeseries-fitting-with-mlforecast", "kernel_id": "89229147"}, {"ref": "minglv/real-estate-prediction-lgbm-prophet-sarima", "kernel_id": "89180812"}, {"ref": "anthonytherrien/simple-seasonality-bump", "kernel_id": "89792366"}, {"ref": "junaid512/china-real-estate-demand-prediction", "kernel_id": "89448658"}, {"ref": "nguyenlamphuquy/enhancing-with-weight-decay-from-geometric-mean", "kernel_id": "89710438"}, {"ref": "daosyduyminh/a-bit-improved-of-red-baseline-upvoteplease", "kernel_id": "89405577"}, {"ref": "daosyduyminh/simple-ensemble", "kernel_id": "89877353"}, {"ref": "recepbarkntopcu/xgboost-base-code", "kernel_id": "89542980"}, {"ref": "abdullah182/real-estate-prediction", "kernel_id": "90832990"}, {"ref": "junaid512/simple-logic-build", "kernel_id": "90028950"}, {"ref": "mkb776/real-estate-pred-with-nn", "kernel_id": "90853576"}, {"ref": "meetbabariya/red-eda-linear-regression", "kernel_id": "90941299"}, {"ref": "bekobeko145/china-real-estate-demand", "kernel_id": "90104144"}, {"ref": "sabyrbazarymbetov/real-estate-demand-prediction-2025-eda-1", "kernel_id": "91795085"}, {"ref": "abhinavsharma0706/real-pre", "kernel_id": "91649941"}, {"ref": "ceecreative/real-estate-demand-prediction-baseline-model", "kernel_id": "91462956"}, {"ref": "yurajakadari/yuraza-model-real-estate", "kernel_id": "91605310"}, {"ref": "sagorkumarmitra/real-estate-demand-prediction-using-multiple-model", "kernel_id": "91270662"}, {"ref": "vivek7557/china-real-estate-demand-prediction-v2", "kernel_id": "91552010"}, {"ref": "junaid512/simple-ensemble-0-2", "kernel_id": "91154500"}, {"ref": "mishashikhov/china-real-estate-xgb-lgbm-ensemble-with-te-cv", "kernel_id": "91821805"}, {"ref": "rohitkumar211987/real-estate-demand-prediction", "kernel_id": "91980614"}, {"ref": "jermainez/real-estate-prediction-trial-1", "kernel_id": "91061484"}, {"ref": "gauravparkhedkar/realestate", "kernel_id": "91641308"}, {"ref": "dheerajkannaujiya/real-state-model", "kernel_id": "91801382"}, {"ref": "stpeteishii/real-estate-demand-forecasting-ewgm", "kernel_id": "92319496"}, {"ref": "kumarkatariya/real-estate-demand-prediction", "kernel_id": "92721586"}, {"ref": "sabyrbazarymbetov/real-estate-demand-prediction-2025-eda-2", "kernel_id": "92011266"}, {"ref": "sambui22022517/simple-seasonality-bump-of-ewgm-last-value", "kernel_id": "92645815"}, {"ref": "hamm28/real-estate-demand-prediciton", "kernel_id": "92813085"}, {"ref": "abdulahadshaik/real-estate-demand-prediction-12", "kernel_id": "92779796"}, {"ref": "shlokkumar2303/real-estate-demand-competition", "kernel_id": "92273616"}, {"ref": "meihanzhao315/a-cnn-bilstm-with-attention-mechanism-for-forecast", "kernel_id": "92253379"}, {"ref": "dmitriych/a-custom-eval-and-loss-for-catboost-regressor", "kernel_id": "93461471"}, {"ref": "asadalikhan92/house-transactions-trends-forecasts", "kernel_id": "93488715"}, {"ref": "asadalikhan92/unveiling-real-estate-dynamics-in-china", "kernel_id": "93520639"}, {"ref": "asadalikhan92/optimized-blending-catboost-extratrees", "kernel_id": "93970512"}, {"ref": "itsyoursumit/china-real-estate-xgb-lgbm-ensemble-with-te-cv", "kernel_id": "93467279"}, {"ref": "afreentariq76/real-estate-demand-prediction", "kernel_id": "93879295"}, {"ref": "sugahun/homework", "kernel_id": "93154949"}, {"ref": "hiwe0305/real-estate-update", "kernel_id": "93052115"}, {"ref": "mitudru/real-estate-demand-prediction", "kernel_id": "93925987"}, {"ref": "jayjwrzj/red-notebook-2", "kernel_id": "93084297"}, {"ref": "narsil/2025-10-06-analiza-eksploracyjna-danych", "kernel_id": "94140653"}, {"ref": "lvncynhs/improve-of-seasonality-bump-of-ewgm-last-value", "kernel_id": "94099831"}, {"ref": "meetbabariya/gru-red", "kernel_id": "94408959"}, {"ref": "mdferozahmedafm/real-estate-demand-forecasting-baseline-model", "kernel_id": "94393560"}, {"ref": "michelemil/bayesian-pruning-features", "kernel_id": "94237264"}, {"ref": "hossam82/real-estate-demand-prediction", "kernel_id": "95829758"}, {"ref": "mirkoferretti/red-5th-place-public-lb-ridge-0-62246", "kernel_id": "95950279"}, {"ref": "tygryskuyato/real-estate-demand-prediction-lgbm-catboost", "kernel_id": "95735665"}, {"ref": "tygryskuyato/eda-linear-regression", "kernel_id": "95729210"}, {"ref": "tobimichigan/china-real-estate-demand-prediction-pipeline", "kernel_id": "96078977"}, {"ref": "mirkoferretti/red-5th-place-public-lb-ridge-0-61765", "kernel_id": "96069443"}, {"ref": "purnamaridzkynugraha/forecast-with-stacking-get-score-0-501", "kernel_id": "96088489"}, {"ref": "bariarituratibhai/real-estate-demand-prediction", "kernel_id": "96069951"}, {"ref": "paritoshtripathi5/pb-8th-lb-31st-red-final-submission-code", "kernel_id": "97538195"}, {"ref": "sambui22022517/improve-of-seasonality-bump-of-ewgm-last-value", "kernel_id": "97203462"}, {"ref": "onesinustamba/real-estate-demand-prediction", "kernel_id": "114265936"}]}
{"competition_id": "111891", "kernels": [{"ref": "amanichabouni/botorch-demo", "kernel_id": "98983049"}]}
{"competition_id": "112002", "kernels": [{"ref": "haradibots/making-r3d-yolov8m-model", "kernel_id": "91911336"}, {"ref": "gauravparkhedkar/2coolsol", "kernel_id": "91471591"}, {"ref": "haradibots/re-tryonthis", "kernel_id": "92711181"}, {"ref": "tobimichigan/dashcam-incident-detection-system-algorithm", "kernel_id": "93632874"}, {"ref": "haradibots/full-last-code", "kernel_id": "93255030"}]}
{"competition_id": "112015", "kernels": []}
{"competition_id": "112029", "kernels": []}
{"competition_id": "112034", "kernels": [{"ref": "julianomenarvaez97/aa-iv-2025-ii-object-localization", "kernel_id": "90182582"}, {"ref": "julianomenarvaez97/aa-iv-2025-ii-object-localization-new", "kernel_id": "91228308"}]}
{"competition_id": "112070", "kernels": [{"ref": "juliolopez786/modelo-julio", "kernel_id": "89211283"}, {"ref": "diegoahs/modelo-amaury-1", "kernel_id": "89208154"}, {"ref": "winrarspock/notebook85a4aea858", "kernel_id": "89202719"}, {"ref": "arnoldarellano/prueba-2arnold", "kernel_id": "89214116"}]}
{"competition_id": "112154", "kernels": []}
{"competition_id": "112287", "kernels": []}
{"competition_id": "112288", "kernels": []}
{"competition_id": "112296", "kernels": []}
{"competition_id": "112303", "kernels": [{"ref": "ajabkhan21/notebook769960ca32", "kernel_id": "104383418"}, {"ref": "ajabkhan21/notebook8133369c39", "kernel_id": "104383851"}, {"ref": "ajabkhan21/notebookfedc7bc94d", "kernel_id": "105334004"}, {"ref": "ajabkhan21/notebook557e9a0558", "kernel_id": "105332308"}, {"ref": "gauravparkhedkar/firstexhsol", "kernel_id": "105111177"}]}
{"competition_id": "112353", "kernels": []}
{"competition_id": "112393", "kernels": [{"ref": "ambrosm/ctai-eda-and-baseline", "kernel_id": "90441231"}, {"ref": "vet231199/ai-prediction-system-for-logistics-optimization", "kernel_id": "90494397"}, {"ref": "mitamjeen/hackyhack", "kernel_id": "90853613"}, {"ref": "daosyduyminh/simple-pipline-ctai-ctd-hackathon", "kernel_id": "90466365"}, {"ref": "daosyduyminh/ctai-construction-material-prediction-enhanced-b", "kernel_id": "90546542"}, {"ref": "hariveeraprasad007/ctai-ctd-hackathon", "kernel_id": "90976690"}, {"ref": "roxanneai/starter-notebook", "kernel_id": "90655875"}, {"ref": "roxanneai/starter-notebook-v2", "kernel_id": "90656943"}, {"ref": "ishitabahamnia/ctai-ctd-hackathon-ishitab-ipyb", "kernel_id": "90601499"}, {"ref": "muhammaddanyalmalik/baseline-and-eda-final", "kernel_id": "91809438"}, {"ref": "samasiayushman/iitb-regressor", "kernel_id": "91694596"}, {"ref": "ishitabahamnia/ctai-ctd-ipyb-notebooke9f30df4c9", "kernel_id": "91520571"}, {"ref": "shreyashkedari/shreyash-kedari", "kernel_id": "91547356"}, {"ref": "tobimichigan/hybrid-ensemble-framework-for-item-classification", "kernel_id": "92101638"}, {"ref": "salahuddinbayassi/ctai-lgbm-last-hours-submission", "kernel_id": "92120775"}, {"ref": "ferhat00/kaggle-supply-chain-random-forest-lightgbm", "kernel_id": "99361085"}]}
{"competition_id": "112452", "kernels": []}
{"competition_id": "112498", "kernels": [{"ref": "stpeteishii/baseline-regression-catboost-kfold-cv", "kernel_id": "89596712"}, {"ref": "ravi20076/gdsc2025-starter-v1", "kernel_id": "89518859"}, {"ref": "sqrtnegativ1/tutorial-ntbk", "kernel_id": "89462696"}, {"ref": "abhigyanprog/gdsc-req1", "kernel_id": "89934863"}, {"ref": "signullvoidfound/gdsc-smarth-v1", "kernel_id": "89553362"}, {"ref": "signullvoidfound/notebook77d66711f1", "kernel_id": "89919582"}, {"ref": "sparshagarwal0411/sparsh-agarwal", "kernel_id": "89493948"}, {"ref": "aarushrajsingh1/gdsc-recruitment-task", "kernel_id": "89676110"}, {"ref": "nischaybagari/uryyb-sevraq", "kernel_id": "90365558"}, {"ref": "jasminezli/advanced-starter", "kernel_id": "90262782"}, {"ref": "jasminezli/advanced-starter-2-0", "kernel_id": "90347260"}, {"ref": "jasminezli/advanced-starter-4-0", "kernel_id": "90352755"}, {"ref": "parthmalhotransut/notebook490b6471fe", "kernel_id": "90717635"}, {"ref": "signullvoidfound/nb-best", "kernel_id": "90228540"}, {"ref": "signullvoidfound/fork-of-notebook6736eac5f9-3c88fc", "kernel_id": "90433990"}, {"ref": "anantchoudhary00/notebookaccd5a1ca3", "kernel_id": "90396052"}, {"ref": "anantchoudhary00/fork-of-notebookaccd5a1ca3-1405cd", "kernel_id": "90892049"}, {"ref": "anantchoudhary00/notebooka415b94a99", "kernel_id": "90794330"}, {"ref": "anantchoudhary00/notebook47d9033eb9", "kernel_id": "90787436"}, {"ref": "anantchoudhary00/fork-of-notebookaccd5a1ca3", "kernel_id": "90695260"}, {"ref": "bh6vdeepsingh/model-submission01", "kernel_id": "90851222"}, {"ref": "sudhitpopli/gdsc2025-starter-v1-9f7dda", "kernel_id": "91345221"}, {"ref": "aaryanaaloke/notebook7bd130df33", "kernel_id": "91269546"}, {"ref": "harishsingh343/gdsctask", "kernel_id": "91027868"}, {"ref": "signullvoidfound/notebooke806158946", "kernel_id": "91269073"}, {"ref": "signullvoidfound/notebook51bc091019", "kernel_id": "91392731"}, {"ref": "musk2025/notebookb40efdbcd5", "kernel_id": "91117357"}, {"ref": "anantchoudhary00/notebook1ea14b5712", "kernel_id": "91072184"}, {"ref": "anantchoudhary00/notebooka8e138ece1", "kernel_id": "91342914"}, {"ref": "anantchoudhary00/notebook616feabba5", "kernel_id": "91330744"}, {"ref": "anantchoudhary00/notebookc8138cd8b0", "kernel_id": "91279142"}, {"ref": "krrishkumarkk/krrish-kumar-nb-gdsc", "kernel_id": "91074005"}, {"ref": "yutish3/notebook27b8deaa90", "kernel_id": "91261888"}, {"ref": "yutish3/notebook81745ed0ac", "kernel_id": "91258785"}, {"ref": "garv0106/finalnb", "kernel_id": "91342750"}, {"ref": "kavyanshmalhotra/actual-late-submission", "kernel_id": "92035650"}]}
{"competition_id": "112499", "kernels": [{"ref": "nkenyor/starter-notebook-pysphere-movie-review-sentim", "kernel_id": "89467870"}, {"ref": "ailookbook888/starter-notebook", "kernel_id": "90258576"}, {"ref": "ahmedtalaat0055/movie-rev-sentiment-analysis-nlp-tf-idf-lg", "kernel_id": "90446717"}, {"ref": "donaldezenwa/pysphere-moviereviewsentiment-challenge-by-donald", "kernel_id": "90789137"}, {"ref": "moonquakemiao/xgboost-lightgbm", "kernel_id": "94477479"}, {"ref": "moonquakemiao/deberta-v3", "kernel_id": "94471046"}, {"ref": "moonquakemiao/logistic-regression-with-tf-idf", "kernel_id": "94462806"}, {"ref": "siyuuzoeyzhou/nlp-movie-review-sentiment", "kernel_id": "95262604"}, {"ref": "jujubacon/tf-idf-logistic-regression", "kernel_id": "95731450"}, {"ref": "jujubacon/bow-logistic-regression", "kernel_id": "95783448"}, {"ref": "dev427sri/py-sphere-movie-review-sentiments-analysis", "kernel_id": "102355033"}]}
{"competition_id": "112509", "kernels": [{"ref": "sonika25agarwal/flower-classifier", "kernel_id": "30733113"}, {"ref": "astrobutter/gdg-kaggle-csiro-image2biomass-advanced", "kernel_id": "97156072"}, {"ref": "krabhijeet/csiro-image2biomass-submission", "kernel_id": "97003928"}, {"ref": "mks2192/csiro-image2biomass-lb-59", "kernel_id": "97678442"}, {"ref": "mks2192/dinov2-giant-lasso-baseline", "kernel_id": "97552544"}, {"ref": "mks2192/csiro-notebook-training", "kernel_id": "97398343"}, {"ref": "mks2192/csiro-image2biomass", "kernel_id": "97014064"}, {"ref": "docxian/csiro-visual-explorations", "kernel_id": "97430808"}, {"ref": "hocop1/siglip-gradientboosting-pca-trick", "kernel_id": "97975149"}, {"ref": "sayedathar11/csiro-train-convnext-tiny-v2", "kernel_id": "97405264"}, {"ref": "sayedathar11/csiro-coatnet-with-oof-train", "kernel_id": "97638286"}, {"ref": "sayedathar11/csiro-train-convnext-tiny-512-imsize", "kernel_id": "97782448"}, {"ref": "sayedathar11/csiro-convnext-coatnet-dino-ensemble", "kernel_id": "97822530"}, {"ref": "msthil/biomass-baseline", "kernel_id": "97763137"}, {"ref": "stpeteishii/biomass-test-inference", "kernel_id": "97290285"}, {"ref": "stpeteishii/pre-gshh-ndvi-pytorch-lightning-cnn-regressor", "kernel_id": "97194211"}, {"ref": "stpeteishii/species-pytorch-lightning-cnn-classifier", "kernel_id": "97195137"}, {"ref": "stpeteishii/height-ave-cm-pytorch-lightning-cnn-regressor", "kernel_id": "97178625"}, {"ref": "stpeteishii/biomass-train-data-visualize-importance", "kernel_id": "97111712"}, {"ref": "stpeteishii/pasture-species-album", "kernel_id": "97681279"}, {"ref": "stpeteishii/biomass-train-data-mutual-importance", "kernel_id": "97756947"}, {"ref": "mpwolke/focus-on-pastures-biomass-csiro", "kernel_id": "97014449"}, {"ref": "tasmim/train-csiro-image2biomass-prediction", "kernel_id": "97171071"}, {"ref": "tasmim/lb-0-54-csiro-image2biomass-prediction-infer", "kernel_id": "97184961"}, {"ref": "cid007/csiro-img-bl", "kernel_id": "97302110"}, {"ref": "vasant10/csiro-image2biomass-multi-output-regression", "kernel_id": "97793624"}, {"ref": "taikimori/lb-0-59-csiro-traning-inferece-baseline", "kernel_id": "97649853"}, {"ref": "jirkaborovec/csiro-img2bio-eda-multi-head-lit-timm", "kernel_id": "97821781"}, {"ref": "jirkaborovec/csiro-img2bio-eda-baseline-lit-timm-regression", "kernel_id": "97143596"}, {"ref": "jirkaborovec/csiro-img2bio-eda-xgboost-dinov3-features", "kernel_id": "97649599"}, {"ref": "jirkaborovec/csiro-img2bio-naive-statistical-predictions", "kernel_id": "97527096"}, {"ref": "yeoyunsianggeremie/csiro-agentic-ai-solution-mobilenet-v4", "kernel_id": "97975204"}, {"ref": "takaito/csiro-img2bio-training-notebook", "kernel_id": "97020031"}, {"ref": "takaito/csiro-img2bio-tta-inference-notebook", "kernel_id": "97060151"}, {"ref": "alivasisari/csiro-image2biomass-prediction", "kernel_id": "97788208"}, {"ref": "prajwaldongre/don-t-train-a-model-without-reading-this-eda", "kernel_id": "97441097"}, {"ref": "abdallahwagih/csiro-image2biomass-prediction", "kernel_id": "97104046"}, {"ref": "mathieuduverne/csiro-simple-baseline", "kernel_id": "97138903"}, {"ref": "mathieuduverne/csiro-image2biomass-deep-eda-no-modeling", "kernel_id": "97088265"}, {"ref": "sannakawettimuny/csiro-eda-v1", "kernel_id": "97384119"}, {"ref": "sohonsagarsingha/csiro-effmodelv1", "kernel_id": "97682576"}, {"ref": "hriteshshanty/image2biomass", "kernel_id": "97354661"}, {"ref": "carsoncheng/dinov2-lasso-baseline-lb-0-54", "kernel_id": "97482218"}, {"ref": "hash548/simple-feature-regression", "kernel_id": "97011351"}, {"ref": "frankmorales/csiro-ng", "kernel_id": "97554963"}, {"ref": "frankmorales/csiro-final-ng", "kernel_id": "97611006"}, {"ref": "frankmorales/csiro-final2025", "kernel_id": "97869862"}, {"ref": "naveedali86/biomass-prediction", "kernel_id": "97644849"}, {"ref": "chrisk321/csiro-eda-r", "kernel_id": "97113068"}, {"ref": "atharva0577/image2biomass", "kernel_id": "97129617"}, {"ref": "paritoshtripathi5/public-img2bio-xgb-pca-on-image-feats", "kernel_id": "97846713"}, {"ref": "frogcannotdie/csiro-naive-cnn-training", "kernel_id": "97476703"}, {"ref": "frogcannotdie/lb-0-57-lightning-for-start-csiro-cnn-infer", "kernel_id": "97479713"}, {"ref": "wwwittt/csiro", "kernel_id": "97370336"}, {"ref": "raunitpatel/csiro-image2biomass-prediction-data-visualisn", "kernel_id": "97034790"}, {"ref": "soyabulislamlincoln/csiro-eda", "kernel_id": "97419216"}, {"ref": "soyabulislamlincoln/csiro-eda-understanding-data", "kernel_id": "97497130"}, {"ref": "dexdexter/verzija-1", "kernel_id": "97827199"}, {"ref": "unsayin9/target-check", "kernel_id": "97518573"}, {"ref": "linkinpony/dinov3-regressor", "kernel_id": "97347329"}, {"ref": "ruwadnaswan/biomass-training", "kernel_id": "97473936"}, {"ref": "ruwadnaswan/extensive-eda-notebook", "kernel_id": "97466170"}, {"ref": "anthonytherrien/image2biomass-trainer", "kernel_id": "97279118"}, {"ref": "abdullah0a/biomass-prediction-cnn-ensemble", "kernel_id": "97105814"}, {"ref": "masnizam/notebookbiomass-project", "kernel_id": "97338579"}, {"ref": "nevrohelios/biomass-model-train", "kernel_id": "97843722"}, {"ref": "nevrohelios/prediction-image2biomass", "kernel_id": "97866867"}, {"ref": "antonoof/vit-dino3-models-inference", "kernel_id": "97013252"}, {"ref": "koushikkumardinda/csiro-image2biomass-prediction", "kernel_id": "97250808"}, {"ref": "mohammedahmedxx12/image2biomass-exploration", "kernel_id": "97680129"}, {"ref": "kunalinfinite/infer", "kernel_id": "97399889"}, {"ref": "kunalinfinite/csiro-img2bio-tta-inference-notebook-lb-0-45", "kernel_id": "97095150"}, {"ref": "kunalinfinite/csiro-img2bio-training-notebook", "kernel_id": "97073524"}, {"ref": "ansh0x/augur-c-1", "kernel_id": "97948468"}, {"ref": "raghavendrakh/csiro-image2biomass", "kernel_id": "97397265"}, {"ref": "easterndundrey/csiro", "kernel_id": "97036535"}, {"ref": "dhevesharun/dhevesh-csir", "kernel_id": "97068066"}, {"ref": "gothamjocker/lb-0-65-dino-v2-tiled", "kernel_id": "97907106"}, {"ref": "naneet1/csiro-img2bio-testing", "kernel_id": "97130565"}, {"ref": "naneet1/csiro-inference", "kernel_id": "97253970"}, {"ref": "amanatar/biomass-prediction", "kernel_id": "97364050"}, {"ref": "none00000/lb-0-57-infer-model-code", "kernel_id": "97258851"}, {"ref": "none00000/csiro", "kernel_id": "97218652"}, {"ref": "roshan123kumar/csiro-challenge-not-completed", "kernel_id": "97584494"}, {"ref": "vinothkumarsekar89/csiro-i2b-a-baseline-cnn", "kernel_id": "97540105"}, {"ref": "gunianxue/csiro-comprehensive-eda-notebook", "kernel_id": "97203597"}, {"ref": "gunianxue/csiro-the-best-baseline-to-start-with", "kernel_id": "97361454"}, {"ref": "surjodey/csiro-29-10-25", "kernel_id": "97103500"}, {"ref": "mdnaimislam165436/csiro-image2biomass-prediction", "kernel_id": "97265432"}, {"ref": "takahitomizunobyts/lb-0-61-csiro-infer", "kernel_id": "97544097"}, {"ref": "takahitomizunobyts/convnext-training-analysis-notebook", "kernel_id": "97545249"}, {"ref": "asmaahamada1878/submission-csv", "kernel_id": "97255959"}, {"ref": "yusufsertkayaysk/csiro-baseline-moo-del-resnet34", "kernel_id": "97059188"}, {"ref": "m0delcrafter/simple-baseline-with-tf-images-only", "kernel_id": "97012295"}, {"ref": "shreyashpatil217/csiro-image2biomass-median-baseline-visual", "kernel_id": "97036963"}, {"ref": "jasingh17988w/csiro-image2biomass-prediction-training-dataset", "kernel_id": "97213858"}, {"ref": "abdulsamadjod1234/biomass", "kernel_id": "97608278"}, {"ref": "wasiqaliyasir/csiro-i2b-prediction", "kernel_id": "97552107"}, {"ref": "wasiqaliyasir/csiro-img2bio-prediction", "kernel_id": "97868083"}, {"ref": "rishabhbahugunargrbg/submitdata", "kernel_id": "97630100"}, {"ref": "phirikg/csiroimage2iomass-prediction", "kernel_id": "97886958"}, {"ref": "princesharma074r5/image2biomass-prediction", "kernel_id": "97106657"}, {"ref": "nocarbonintelligence/csiro-multitarget-imageonly", "kernel_id": "97876541"}, {"ref": "dnyaneshbharambe/csiro-biomass", "kernel_id": "97108322"}, {"ref": "paharpurailab/awais-img2biomass-prediction-v1", "kernel_id": "97084394"}, {"ref": "paharpurailab/csiro-img2bms-prediction-complete-model-training", "kernel_id": "97354446"}, {"ref": "paharpurailab/csiro-image2biomass-prediction", "kernel_id": "97372811"}, {"ref": "ghulammohiuddin007/high-accuracy-biomass-prediction-for-smart-grazing", "kernel_id": "97536882"}, {"ref": "mrniteshkurmivlogs00/my-first-ml-project", "kernel_id": "97123151"}, {"ref": "drpriyasharma/notebook87c1c43017", "kernel_id": "97723107"}, {"ref": "leezmiriam/pasture-biomass-prediction", "kernel_id": "98505760"}, {"ref": "nk35jk/dinov3-pe-embeddings-mlp-lb-0-78-0-65", "kernel_id": "98731466"}, {"ref": "oswnavarre/csiro-competition-3", "kernel_id": "98549375"}, {"ref": "oswnavarre/csiro-competition-4-hgb-cnn-ensemble", "kernel_id": "98552430"}, {"ref": "oswnavarre/csiro-competition-5-hgb-cnn-dinov2-base", "kernel_id": "98715996"}, {"ref": "oswnavarre/csiro-competition-4-hgb-cnn-ensemble-improved", "kernel_id": "98703981"}, {"ref": "oswnavarre/csiro-competition-2", "kernel_id": "98394616"}, {"ref": "oswnavarre/csiro-competition-6-hgb-cnn-dino-siglip-ensemble", "kernel_id": "98782356"}, {"ref": "oswnavarre/csiro-competition-7-hgb-cnn-dino-v2-518-siglip-384", "kernel_id": "98860787"}, {"ref": "oswnavarre/csiro-8-twostream-dino-siglip-cnn-tab-oof-sta-t4", "kernel_id": "98868860"}, {"ref": "dedquoc/csiro-i2bp-lb-0-42-v1", "kernel_id": "98745027"}, {"ref": "ctrungtrn/csiro", "kernel_id": "98920768"}, {"ref": "mosammatrifaajuhani/image2biomass-prediction", "kernel_id": "98898360"}, {"ref": "imokuri/csiro-biomass-inference", "kernel_id": "98001350"}, {"ref": "kohidocun/kohidoimage2biomass-expert", "kernel_id": "98831809"}, {"ref": "evilrobot/csiro-biomass-prediction", "kernel_id": "98013049"}, {"ref": "damianleandrotamburi/20251107-csiro-biomass", "kernel_id": "98510481"}, {"ref": "nobita7/biomass-ensemble-regression", "kernel_id": "98081042"}, {"ref": "amirmmahdavikia/csiro-paper-in-depth-eda", "kernel_id": "98795945"}, {"ref": "darrenamadeusmartin/csiro-notebook", "kernel_id": "98093538"}, {"ref": "hoangminhan/two-steam-model", "kernel_id": "98648703"}, {"ref": "miadul/pasture-biomass-prediction-cnn", "kernel_id": "98660880"}, {"ref": "sasaleaf/csiro-pytorch-baseline-inference", "kernel_id": "98260549"}, {"ref": "sasaleaf/csiro-pytorch-baseline-train", "kernel_id": "98143880"}, {"ref": "manish5323/notebook21362a70a5", "kernel_id": "98630914"}, {"ref": "manish5323/notebookba1808b1d1", "kernel_id": "98611820"}, {"ref": "manish5323/csiro-image2biomass-prediction", "kernel_id": "98609375"}, {"ref": "paritoshtripathi5/img2biomass-swin-v1-train-lb-0-64", "kernel_id": "98435624"}, {"ref": "amalsp220/csiro-biomass-metadata-enhanced-ensemble-xgboos", "kernel_id": "98650223"}, {"ref": "aliciarsimmons/as-csiro-image2biomass-data-preprocessing", "kernel_id": "98378184"}, {"ref": "kenjidarmawan/image2biomassv1", "kernel_id": "98748162"}, {"ref": "pranavtamada/biomassml2", "kernel_id": "98430932"}, {"ref": "pranavtamada/biomassml", "kernel_id": "98158645"}, {"ref": "easterndundrey/sticking-close-to-csiro-paper-ensemble", "kernel_id": "98608182"}, {"ref": "liyue7595/dinov2-giant-lasso-baseline", "kernel_id": "98805153"}, {"ref": "prahitviraajreddy/notebook074fcd7f3f", "kernel_id": "98180329"}, {"ref": "craftycode/csiro-image-to-bio-mass", "kernel_id": "98359303"}, {"ref": "romantamrazov/csiro-3-model-ensemble-lb-0-635", "kernel_id": "98293517"}, {"ref": "gauravparkhedkar/0-61-score-notebook", "kernel_id": "98416108"}, {"ref": "takahitomizunobyts/csiro-coatnet-training", "kernel_id": "98604014"}, {"ref": "dzkzhenshaui/notebookd0c46e0dec", "kernel_id": "98243970"}, {"ref": "jerodprindable/jp-csiro-submission-notebook", "kernel_id": "98878926"}, {"ref": "davidbala06/csiro-image2biomass", "kernel_id": "98972825"}, {"ref": "paharpurailab/csiro-inference-notebook", "kernel_id": "98102282"}, {"ref": "paharpurailab/csiro-cnn-unsupervised-learning", "kernel_id": "98090095"}, {"ref": "paharpurailab/csiro-public-dataset-training", "kernel_id": "98858844"}, {"ref": "tuanducngo/csiro", "kernel_id": "98972651"}, {"ref": "gayathrimarimuthu/notebook8fd9e5dd6c", "kernel_id": "98010004"}, {"ref": "adarshmauryaji/csiro-image3biomass-prediction", "kernel_id": "98177310"}, {"ref": "oswnavarre/csiro-9-twostream-dino-siglip-enet-tab-oof-sta-t4", "kernel_id": "99052003"}, {"ref": "oswnavarre/csiro-biomass-v9-5-oof-test-export", "kernel_id": "99146834"}, {"ref": "ctrungtrn/csiro-inference", "kernel_id": "99037496"}, {"ref": "rohanleomessi10/eda-csiro-competition", "kernel_id": "99031928"}, {"ref": "handudu/1-train-baseline-demo", "kernel_id": "99940883"}, {"ref": "amirmmahdavikia/csiro-does-metadata-really-matter", "kernel_id": "99335493"}, {"ref": "santyagoamaya/biomass-feature-extraction", "kernel_id": "99286794"}, {"ref": "frankmorales/csiro-final-optuna-best", "kernel_id": "99121169"}, {"ref": "miadul/csiro-australian-pasture-biomass-prediction", "kernel_id": "99293938"}, {"ref": "krajasekhar1410/csiro-image2biomass-prediction-krajasekhar1410", "kernel_id": "99570374"}, {"ref": "mr64891901/csiro-baseline", "kernel_id": "99854228"}, {"ref": "haigelihai/v5-vit-5foldtta", "kernel_id": "99829912"}, {"ref": "yokesh29/csiro-biomass", "kernel_id": "99232849"}, {"ref": "nuwaithet/biomass-teacher-student-ensemble", "kernel_id": "99716928"}, {"ref": "reinmv/lb0-64-ens-of-public-models", "kernel_id": "99409056"}, {"ref": "fundolafernando/csiro-image2biomass-prediction7e23c1315e", "kernel_id": "99161472"}, {"ref": "shahmohammadrizvi/csiro174", "kernel_id": "99839602"}, {"ref": "romantamrazov/csiro-ensemble-lb-0-69", "kernel_id": "99608385"}, {"ref": "atilanogonzalez/modelo-multisalida-model-mlp-tweedie", "kernel_id": "99512573"}, {"ref": "kospintr/csiro-convnext-multi-layer-feature-extr-pca-svr", "kernel_id": "99924794"}, {"ref": "takahitomizunobyts/csiro-eva02-infer-lb-0-62", "kernel_id": "99351827"}, {"ref": "takahitomizunobyts/csiro-customizable-eda", "kernel_id": "99347604"}, {"ref": "godsavekawurem/csiro-img2biomas", "kernel_id": "99899194"}, {"ref": "sajadai/csiro-pytorch-starter", "kernel_id": "99650393"}, {"ref": "chinhnguyen25060121/notebook665de6ee1a", "kernel_id": "99555592"}, {"ref": "sarahkalokhe/notebook414ba67fb8", "kernel_id": "99019599"}, {"ref": "nocarbonintelligence/csiro-biomass-image-treatment-shadow-soil", "kernel_id": "99695549"}, {"ref": "paharpurailab/csiro-seperate-model-for-every-target-inf", "kernel_id": "99888813"}, {"ref": "paharpurailab/csiro-11-11-trying-different-models", "kernel_id": "99177283"}, {"ref": "paharpurailab/csiro-straitified-kfold-inference", "kernel_id": "99571343"}, {"ref": "paharpurailab/csiro-straitified-kfold-training", "kernel_id": "99558896"}, {"ref": "paharpurailab/csiro-eva02-modified-targets-infer-lb-0-63", "kernel_id": "99489796"}, {"ref": "paharpurailab/csiro-image2biomass-eva-02-training", "kernel_id": "99495907"}, {"ref": "annabellemk/vggnet-16-image2biomass", "kernel_id": "99238931"}, {"ref": "martinijean/csiro-img2bio-eda-xgboost-pca-image-f-9e66b7", "kernel_id": "99408403"}, {"ref": "choppagunasundar/sub-1", "kernel_id": "99235410"}, {"ref": "dalipsinghdhanerwal/csiro-image2biomass-median-baseline-visual", "kernel_id": "99641250"}, {"ref": "oswnavarre/csiro-biomass-a-foldscreation", "kernel_id": "100245641"}, {"ref": "novatrade/exp18-yolo-seg-eda", "kernel_id": "100930978"}, {"ref": "novatrade/exp19-yolo-det-eda", "kernel_id": "100931142"}, {"ref": "novatrade/exp20-yolo-obb-eda", "kernel_id": "100931301"}, {"ref": "novatrade/exp103-ridge-grid-search", "kernel_id": "100956782"}, {"ref": "novatrade/exp04-v2-dinov2-submit-internet", "kernel_id": "100466959"}, {"ref": "novatrade/exp05-improved-ensemble-70-dinov2", "kernel_id": "100469210"}, {"ref": "novatrade/exp06-convnext-oof-score-calculation", "kernel_id": "100469314"}, {"ref": "novatrade/exp04-dinov2-submit-oof-0-6847", "kernel_id": "100458785"}, {"ref": "novatrade/exp04-dinov2-full-submit-oof-0-6847", "kernel_id": "100461848"}, {"ref": "novatrade/exp104-lasso-ridge-ensemble", "kernel_id": "100515359"}, {"ref": "novatrade/exp105-dinov2-elasticnet", "kernel_id": "100515370"}, {"ref": "novatrade/exp106-high-oof-ensemble-70-dinov2", "kernel_id": "100535155"}, {"ref": "tapasb/csiro-biomass-efficientnet-baseline", "kernel_id": "100596818"}, {"ref": "tapasb/csiro-biomass-efficientnet-baseline-v2", "kernel_id": "100597297"}, {"ref": "tapasb/csiro-biomass-iter-4-resnet50", "kernel_id": "100619734"}, {"ref": "vasant10/csiro-image2biomass-efficientnet-pytorch", "kernel_id": "100639979"}, {"ref": "furioussavenger/csiro-statistical-analysis", "kernel_id": "100724100"}, {"ref": "innocentmchechesi/i2b-trial-l1", "kernel_id": "100059699"}, {"ref": "hanifnoerrofiq/dino-v2-catboost", "kernel_id": "100215255"}, {"ref": "shivansh7102003/submission-kaggle", "kernel_id": "100933982"}, {"ref": "mr64891901/csiro-biomass-two-stream-convnext-tta-ensemble", "kernel_id": "100831379"}, {"ref": "electroknight/csiro-model", "kernel_id": "100656812"}, {"ref": "haigelihai/v6-i-teacher-model", "kernel_id": "100890292"}, {"ref": "haigelihai/v6-ii-student-model", "kernel_id": "100982907"}, {"ref": "rohanrk1813/biomass-comp-0-62", "kernel_id": "100793063"}, {"ref": "shogomiyawaki/csiro-image2biomass-prediction", "kernel_id": "100998651"}, {"ref": "nuwaithet/biomass-pca-clean", "kernel_id": "100517214"}, {"ref": "nuwaithet/biomass-pca", "kernel_id": "100428372"}, {"ref": "nuwaithet/biomass-teacher-student-ensemble-clean", "kernel_id": "100018332"}, {"ref": "haradibots/best-gone", "kernel_id": "100256322"}, {"ref": "haradibots/notebook47bf384f8d", "kernel_id": "100258110"}, {"ref": "haradibots/notebook4bea150d8f", "kernel_id": "100285280"}, {"ref": "haradibots/remaking", "kernel_id": "100645217"}, {"ref": "yashwanthhn37/image2biomassprediction", "kernel_id": "100708921"}, {"ref": "mt0010/simclr-ssl", "kernel_id": "100301931"}, {"ref": "jerodprindable/jp-submission-csiro-v2", "kernel_id": "100885344"}, {"ref": "wasiqaliyasir/csrio-prediction", "kernel_id": "100542964"}, {"ref": "paharpurailab/csiro-training-without-wa-rows-training", "kernel_id": "100369776"}, {"ref": "rahatdhrubo123/iub-kryptonite-test-code", "kernel_id": "100303825"}, {"ref": "ecnuzhangjianfu/biomass-v1", "kernel_id": "100434943"}, {"ref": "astrobutter/gdg-kaggle-csiro-image2biomass-intro", "kernel_id": "101641620"}, {"ref": "gauravbrills/folds", "kernel_id": "101824918"}, {"ref": "ryzhokhina/csiro-eda", "kernel_id": "101854981"}, {"ref": "novatrade/exp14-siglip-single-model", "kernel_id": "101691449"}, {"ref": "jiazhuang/csiro-simple", "kernel_id": "101846988"}, {"ref": "sunilkrishnan/csiro-biomass-stremlit-viewer", "kernel_id": "101824106"}, {"ref": "jirkaborovec/csiro-img2bio-eda-catboost-pca-dinov3-features", "kernel_id": "101979601"}, {"ref": "manojkumars00/just-eda", "kernel_id": "101767374"}, {"ref": "jekahamster/score-function", "kernel_id": "101841570"}, {"ref": "jarvis2026/farmerdino", "kernel_id": "101058272"}, {"ref": "aliciarsimmons/as-csiro-image2biomass-submission-v02", "kernel_id": "101379282"}, {"ref": "aliciarsimmons/as-csiro-image2biomass-training-v02", "kernel_id": "101370639"}, {"ref": "adarsh1103/notebook112116fcaf", "kernel_id": "101765152"}, {"ref": "seddiktrk/csiro-image2biomass-prediction-kfolds", "kernel_id": "101940044"}, {"ref": "manish756/csiro-model-ensembles-lb-0-63", "kernel_id": "101659403"}, {"ref": "sudhanshu3112/image2biomass-tabular-image-fusion", "kernel_id": "101314681"}, {"ref": "mishnaman/notebook2e834d3a77", "kernel_id": "101421687"}, {"ref": "sumeetguptaisi/submission-trial", "kernel_id": "101773335"}, {"ref": "bingos/csiro-image2biomass", "kernel_id": "101792234"}, {"ref": "llkh0a/csiro-tuning-vit-l-14", "kernel_id": "101477857"}, {"ref": "penguinma123/csiro-img2bio-eda-multi-head-lit-timm", "kernel_id": "101239590"}, {"ref": "redim0/notebook04f46dfd49", "kernel_id": "101890277"}, {"ref": "atilanogonzalez/comparacion-embeding", "kernel_id": "101601156"}, {"ref": "kospintr/csiro-tf-convnextxlarge-augmentation-k-fold", "kernel_id": "101174353"}, {"ref": "talhaahmed121/model-ensembles-lb-0-64", "kernel_id": "101926074"}, {"ref": "raifazharl226807/robo-assignment", "kernel_id": "101928857"}, {"ref": "takahitomizunobyts/hsv-preprocessing-end-to-end", "kernel_id": "101488961"}, {"ref": "takahitomizunobyts/dinov2-lasso", "kernel_id": "101495259"}, {"ref": "takahitomizunobyts/siglip", "kernel_id": "101496730"}, {"ref": "annabellemk/vggnet-baseline", "kernel_id": "101811543"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "jasharajlenka/csiro-image-prediction", "kernel_id": "101964982"}, {"ref": "ravikumar2905/notebook178beb395c", "kernel_id": "101682913"}, {"ref": "chome0910/csiro-dataset-viewer", "kernel_id": "102740336"}, {"ref": "mayukh18/wheels-csiro", "kernel_id": "102662694"}, {"ref": "gauravbrills/timm-wheels", "kernel_id": "102298886"}, {"ref": "pcjimmmy/rain-fall-by-state", "kernel_id": "102042015"}, {"ref": "pcjimmmy/temperature-2015", "kernel_id": "102043857"}, {"ref": "pcjimmmy/mean-temperature-2015", "kernel_id": "102048114"}, {"ref": "samu2505/csiro-pca-pls-text-embeddings", "kernel_id": "102825462"}, {"ref": "welshonionman/clovers-weeds-segmentation", "kernel_id": "102451961"}, {"ref": "welshonionman/create-dataset-for-clovers-weeds-segmentation", "kernel_id": "102449124"}, {"ref": "simonedegasperis/starter-eda-baseline-brainstorming", "kernel_id": "102267707"}, {"ref": "mushfirat/csiro-i2b-infer-v8", "kernel_id": "102953257"}, {"ref": "ranjitrjadhawar/moe-approach", "kernel_id": "102269779"}, {"ref": "carsoncheng/csiro-dinov2-dense-features-lb-0-66", "kernel_id": "102827360"}, {"ref": "seddiktrk/csiro-eva02-single-model", "kernel_id": "102638896"}, {"ref": "errajanikantawasthi/rkawasthi", "kernel_id": "102696018"}, {"ref": "sufya6/csiro-trinity-ensemble-dinov2-convnext-siglip", "kernel_id": "102220416"}, {"ref": "mr64891901/csiro-threestreamconvnext-tta-ensemble", "kernel_id": "102048180"}, {"ref": "mohameddrabo/csiro-image2biomass-prediction", "kernel_id": "102180437"}, {"ref": "wsensati0n/eeexp", "kernel_id": "102974462"}, {"ref": "kumarkushagra7/m2-cnn-resnet", "kernel_id": "102281175"}, {"ref": "kumarkushagra7/feature-selection-convnext", "kernel_id": "102878414"}, {"ref": "harrykesh/csiro-first-notebook", "kernel_id": "102688012"}, {"ref": "mister2005/image-biomass-0-64", "kernel_id": "102695599"}, {"ref": "gothamjocker/lb-0-66-dino-v2-backbone-mamba-multi-vit", "kernel_id": "102676310"}, {"ref": "lambda49/notebook230431d829", "kernel_id": "102438105"}, {"ref": "jingweii97/csiro-eda", "kernel_id": "102454865"}, {"ref": "laodriverayu/dataset-sub-image-labels", "kernel_id": "102719750"}, {"ref": "nguyenphuctoank27/csiro-image2biomass-my-submission", "kernel_id": "102215449"}, {"ref": "judeafam/notebookc85ca76575", "kernel_id": "102796727"}, {"ref": "dheerajkannaujiya/biomass-0-55", "kernel_id": "102315698"}, {"ref": "mukhilkannan/0-63-score-cnn-ensemble", "kernel_id": "102075485"}, {"ref": "taka3776toshi/efficientnet-inference", "kernel_id": "102931173"}, {"ref": "taka3776toshi/efficientnet-train", "kernel_id": "102861831"}, {"ref": "jerodprindable/jp-csiro-submission-v3", "kernel_id": "102312366"}, {"ref": "paharpurailab/csiro-dino-inference", "kernel_id": "102368466"}, {"ref": "paharpurailab/csiro-dino-model-inference", "kernel_id": "102427750"}, {"ref": "paharpurailab/csiro-dino-model-training-inference", "kernel_id": "102426535"}, {"ref": "tvmilitary/csiro-biomass-starter-baseline", "kernel_id": "102509259"}, {"ref": "shams1/pandas", "kernel_id": "103138770"}, {"ref": "jsjhoubo/csiro-image2biomass-prediction-by-bo-hou", "kernel_id": "103409893"}, {"ref": "nnjjpp/cb2025-just-cnn", "kernel_id": "103596121"}, {"ref": "ryzhokhina/csiro-tabular-baseline", "kernel_id": "103801151"}, {"ref": "akanksha2804/respatch", "kernel_id": "103312534"}, {"ref": "dokster/vegetation-segmentation-with-vegann", "kernel_id": "103449639"}, {"ref": "juliocamargol/notebookjacl", "kernel_id": "103714695"}, {"ref": "albertzaqaryan/notebookf1631b77c4", "kernel_id": "103872612"}, {"ref": "matejkamenicky/csiro-image2biomass-prediction", "kernel_id": "103457961"}, {"ref": "siriasannino/csiro-nb", "kernel_id": "103071976"}, {"ref": "marcorosato/csiro-model-ensemble-tf", "kernel_id": "103570682"}, {"ref": "khalednagaty/notebook4a3c8c0e05", "kernel_id": "103744778"}, {"ref": "alesanchezb/biomass-csiro", "kernel_id": "103594121"}, {"ref": "hasanbakr/csiro-efficientnet-b0-ns-training", "kernel_id": "103271196"}, {"ref": "anasofiamattirios/notebookcsiro-patrones", "kernel_id": "103588953"}, {"ref": "chikonzeroselemani/csir0-gettingstarted-training", "kernel_id": "103689975"}, {"ref": "yusufmurtaza01/csiro-dino", "kernel_id": "103350690"}, {"ref": "yusufmurtaza01/csiro-efficientnet", "kernel_id": "103261481"}, {"ref": "doudoudoudouba/competitionon-3", "kernel_id": "103056019"}, {"ref": "doudoudoudouba/competitionon-4", "kernel_id": "103236284"}, {"ref": "kushubhai/csiro-visualization-notebook", "kernel_id": "103638905"}, {"ref": "kushubhai/dinov2-giant-head-csiro", "kernel_id": "103774502"}, {"ref": "kushubhai/dinov2-small-fc-3-output-csiro", "kernel_id": "103733556"}, {"ref": "kdallash/csiro-image2biomass-with-normalization-0-28-0-51", "kernel_id": "103006160"}, {"ref": "nashizumi45/swin-trainsfomer-with-clahe", "kernel_id": "103976029"}, {"ref": "deonisdeonnis/csiro-0-89-r2-on-control", "kernel_id": "103047078"}, {"ref": "talhaahmed121/simple-lightbgm-on-metadata", "kernel_id": "103471938"}, {"ref": "simarpreet0037/bio-mass", "kernel_id": "103885280"}, {"ref": "shibuyayuto/notebook-csiro1", "kernel_id": "103225004"}, {"ref": "youichwada/csiro-inf-convnext-xlarge-metapredictor", "kernel_id": "103426102"}, {"ref": "paharpurailab/eva-02-model-inference", "kernel_id": "103144392"}, {"ref": "paharpurailab/eva-02-model-training", "kernel_id": "103143477"}, {"ref": "laurachenoweth/biomass-csiro", "kernel_id": "103705938"}, {"ref": "adrianmartinezz/patrones-proyectfinal", "kernel_id": "103609107"}, {"ref": "alhamdywahyu/firstcitra", "kernel_id": "103511440"}, {"ref": "alloyd256/linearregression-for-lb-prediction", "kernel_id": "103109435"}, {"ref": "sachein/biomass-predictor", "kernel_id": "103626439"}, {"ref": "luisjcome/biomass", "kernel_id": "103713894"}, {"ref": "danielquihuis/csiro-image2biomass-prediction", "kernel_id": "103688709"}, {"ref": "msinvent/dinov2-small-3fullyconnectedlayers-csiro", "kernel_id": "104057529"}, {"ref": "msinvent/dinov2-standard-model-3-fcs", "kernel_id": "104600589"}, {"ref": "msinvent/dino-v2-with-cross-validation", "kernel_id": "104881171"}, {"ref": "jiazhuang/csiro-simple-3head-merge-lb066", "kernel_id": "104633096"}, {"ref": "samu2505/csiro-datasplit", "kernel_id": "104406946"}, {"ref": "fajriocta/prediction-biomass", "kernel_id": "104115337"}, {"ref": "velanchandru/csiro-submission-2", "kernel_id": "104511644"}, {"ref": "velanchandru/csiro-submission", "kernel_id": "104557247"}, {"ref": "sakthimalai/csiro-submission", "kernel_id": "104555701"}, {"ref": "johnnyhyland/notebook6618ca741e", "kernel_id": "104965866"}, {"ref": "abhinavsharma0706/csiro-set", "kernel_id": "104545331"}, {"ref": "aliciarsimmons/as-csiro-image2biomass-project-summary", "kernel_id": "104484249"}, {"ref": "antonoof/top90-3-models-ensemble-5h-inference", "kernel_id": "104569689"}, {"ref": "nguyenbaohuy05/csrio", "kernel_id": "104593867"}, {"ref": "adamserghini2002/csiro-biomass-challenge-ratio-resnet50-solution", "kernel_id": "104483550"}, {"ref": "harrykesh/inference-dinov2-csiro-lb-0-58", "kernel_id": "104352862"}, {"ref": "harrykesh/csiro-second-notebook-seed-experimentation", "kernel_id": "104847118"}, {"ref": "fuytrs/0-train-dino", "kernel_id": "104252684"}, {"ref": "fuytrs/1-infer-dino", "kernel_id": "104253300"}, {"ref": "saurabhrajvarma/csiro-image2biomassresult", "kernel_id": "104995314"}, {"ref": "berliananggak/csiro-wakanda-module-2-training", "kernel_id": "104272700"}, {"ref": "reddyrohith/notebook6beb73cffe", "kernel_id": "104544858"}, {"ref": "kushubhai/the-vit-approach", "kernel_id": "104751646"}, {"ref": "kushubhai/convnext-head-csiro", "kernel_id": "104331394"}, {"ref": "kushubhai/efficientnet-head-csiro", "kernel_id": "104121218"}, {"ref": "gunianxue/biomass-baseline", "kernel_id": "104931833"}, {"ref": "theallkeeeymist/csiro-vit-model", "kernel_id": "104267102"}, {"ref": "kkkmxzy/kmxcmp3", "kernel_id": "104077217"}, {"ref": "yujung1125/csiro-cnn-predict", "kernel_id": "104835663"}, {"ref": "kagger3/csiro-simple-127061", "kernel_id": "104714512"}, {"ref": "kagger3/csiro-simple", "kernel_id": "104542129"}, {"ref": "jerodprindable/jp-submission-notebook-final", "kernel_id": "104500872"}, {"ref": "tasadanluca/csiro-dino-5-heads", "kernel_id": "104852282"}, {"ref": "ammaruk/csiro-biomass-error-fix", "kernel_id": "104473603"}, {"ref": "cfs123/ensemble4-model-0-69", "kernel_id": "104971310"}, {"ref": "pankhuritrivedi/image2biomass-prediction-csiro", "kernel_id": "104630849"}, {"ref": "mdshahideqbal/notebook4452797119", "kernel_id": "104981488"}, {"ref": "jithin6/notebookbc75af9c95", "kernel_id": "104900783"}, {"ref": "deepxchat/notebook1e02822835", "kernel_id": "104243856"}, {"ref": "pcjimmmy/install-timm", "kernel_id": "105790334"}, {"ref": "wesleyhuan/basic-info-of-csiro", "kernel_id": "105851769"}, {"ref": "soumochatterjee/csiro-inference-1-with-dinov2", "kernel_id": "105898721"}, {"ref": "bintangfm/csiro-pytorch-convnextv2", "kernel_id": "105728802"}, {"ref": "alidavinci/notebookde89fb0a78", "kernel_id": "105826733"}, {"ref": "syedslmn/biomass-efficientnet-predictor", "kernel_id": "105131495"}, {"ref": "yasunorim/dinov2-with-fine-tuned-learning-rate", "kernel_id": "105455638"}, {"ref": "yasunorim/csiro-biomass-dinov2-dual-view", "kernel_id": "105825857"}, {"ref": "simonedegasperis/dinov2-species-classifier", "kernel_id": "105959835"}, {"ref": "goduguanilhimam/csiro-baseline-image-only", "kernel_id": "105377346"}, {"ref": "jirkaborovec/csiro-img2bio-eda-vegetation-idx-xgboost-pca", "kernel_id": "105120933"}, {"ref": "mesparky/1st-submission-to-cisro", "kernel_id": "105910987"}, {"ref": "dmtrrr/csiro-pytorch-single-net-mixed-samples-0-66-lb", "kernel_id": "105091583"}, {"ref": "hamzabinbutt/eda-csiro", "kernel_id": "105337899"}, {"ref": "hamzabinbutt/base-model-csiro", "kernel_id": "105346623"}, {"ref": "hamzabinbutt/dinov2-mlp", "kernel_id": "105608751"}, {"ref": "hamzabinbutt/csiro-biomass-cnn-final-optimized-training-pipel", "kernel_id": "105480914"}, {"ref": "hamzabinbutt/csiro-biomass-cnn-experiment-kernel-size", "kernel_id": "105473070"}, {"ref": "hamzabinbutt/cnn-augmentation-strat", "kernel_id": "105477288"}, {"ref": "hamzabinbutt/cnn-dropout-regularization", "kernel_id": "105476206"}, {"ref": "hamzabinbutt/cnn-5-conv", "kernel_id": "105470516"}, {"ref": "hamzabinbutt/dinvov2-catboost", "kernel_id": "105914058"}, {"ref": "hitarthpandey/biomass-prediction-0-58lb", "kernel_id": "105485171"}, {"ref": "avijitchowdhurycuet/notebook-3-for-csiro-comp", "kernel_id": "105854420"}, {"ref": "t0ra1107/csiro-inference", "kernel_id": "105293705"}, {"ref": "sumit08/image2biomass-using-resnet50", "kernel_id": "105373959"}, {"ref": "sumit08/image2biomass-using-dinov3", "kernel_id": "105516247"}, {"ref": "likithagedipudi/biomass-prediction", "kernel_id": "105502623"}, {"ref": "miadul/csiro-image2biomass", "kernel_id": "105320308"}, {"ref": "stan024135/eda-and-dinov2-mlp-baseline", "kernel_id": "105452096"}, {"ref": "subbusrikantam/criso-submission", "kernel_id": "105679140"}, {"ref": "sixueyang/stabilityai-generate", "kernel_id": "105893681"}, {"ref": "zhiyue666/csiro-infer-base-2x4-gw", "kernel_id": "105919143"}, {"ref": "mikunikouki/notebookcc99d39725", "kernel_id": "105847379"}, {"ref": "nguyenphantu/notebook24122025", "kernel_id": "105150849"}, {"ref": "zeyadmohamadezzat/csiro-dino-v2-model-advanced-tta-ndvi", "kernel_id": "105097280"}, {"ref": "antonoof/0-69-ensemble-3-models-embeddings", "kernel_id": "105111985"}, {"ref": "antonoof/ensemble-5-models-csiro-0-7-score", "kernel_id": "105324131"}, {"ref": "nguyenbaohuy05/notebookd42c759ca4", "kernel_id": "105174884"}, {"ref": "simonkosgei/csiro-i2b", "kernel_id": "105758562"}, {"ref": "fakerfyk/newwork", "kernel_id": "105049686"}, {"ref": "chikonzeroselemani/csir0-convnexttiny", "kernel_id": "105799606"}, {"ref": "chikonzeroselemani/csir0-gettingstarted-inference", "kernel_id": "105171302"}, {"ref": "harrykesh/model-mixed-inference", "kernel_id": "105118881"}, {"ref": "fuytrs/infer-basemlp", "kernel_id": "105034890"}, {"ref": "llkh0a/cisro-baseline-train-infer-21-12", "kernel_id": "105097725"}, {"ref": "manasi197/image-to-biomass", "kernel_id": "105793658"}, {"ref": "kushubhai/the-vit-dino-approach", "kernel_id": "105556667"}, {"ref": "gunianxue/biomass-baseline-experimenrt", "kernel_id": "105114855"}, {"ref": "w10t01w/csiro-dataset-analysis", "kernel_id": "105116402"}, {"ref": "mohammadwaleed123/csiro-notebook", "kernel_id": "105838121"}, {"ref": "nctuan/image2biomass-data-analysis-report", "kernel_id": "105683053"}, {"ref": "nctuan/image2biomass-afhn", "kernel_id": "105623033"}, {"ref": "giovannyrodrguez/dinov2-pseudo-segmentation", "kernel_id": "105939654"}, {"ref": "sakshambartwal/csiro-train-embedings", "kernel_id": "105324228"}, {"ref": "sakshambartwal/csiro-datasplit", "kernel_id": "105484379"}, {"ref": "yujung1125/csiro-train-convnext-tiny", "kernel_id": "105515009"}, {"ref": "yujung1125/csiro-convnext-tiny-predict", "kernel_id": "105516357"}, {"ref": "trnhquangminh140/csiro-image2biomass-prediction-140", "kernel_id": "105438736"}, {"ref": "trnhquangminh140/csiro-image2biomass-prediction-new", "kernel_id": "105436027"}, {"ref": "trnhquangminh140/csiro-image2biomass-prediction-minh", "kernel_id": "105412898"}, {"ref": "kagger3/efficnetb4-lb-0-6", "kernel_id": "105110951"}, {"ref": "aanchalgor/notebookf61faaf542", "kernel_id": "105057392"}, {"ref": "kyanmahajan23/using-resnet-embeddings-xgboost", "kernel_id": "105868097"}, {"ref": "ductaiphan/csiro-image2biomass-prediction", "kernel_id": "105114722"}, {"ref": "sachchidanandadaki/cisro-inference-1", "kernel_id": "105275758"}, {"ref": "zhengkangmei/csir0-inference-dinov2", "kernel_id": "105311636"}, {"ref": "mugishapacifique/image2biomass-masks", "kernel_id": "105742145"}, {"ref": "tesnimegraba/notebook1acd6752f7", "kernel_id": "105634384"}, {"ref": "tesnimegraba/notebooka89d3ac0bc", "kernel_id": "105696928"}, {"ref": "john5568/weighted-r-score", "kernel_id": "105398092"}, {"ref": "hmnshudhmn24/csiro-image2biomass-prediction", "kernel_id": "105186679"}, {"ref": "anoobyui/csiro", "kernel_id": "105830452"}, {"ref": "cfs123/csiro-ensemble-model-0-69", "kernel_id": "105878687"}, {"ref": "wangyiz/lightweight-csiro-pipeline-method-rationale", "kernel_id": "105889386"}, {"ref": "sahilmakhamale/csiro-image2biomass-hybridcnn-tabular-ipynb", "kernel_id": "105836643"}, {"ref": "sahilmakhamale/csiro-image2biomass-multi-input-regression-model", "kernel_id": "105928529"}, {"ref": "sahilmakhamale/csiro-image2biomass-baseline-ipynb", "kernel_id": "105794777"}, {"ref": "rajvelpula/final-biomassnote", "kernel_id": "105601202"}, {"ref": "happyhard/notebook53ea668345", "kernel_id": "105544925"}, {"ref": "chamidudhilshan/csiro-biomass-solution", "kernel_id": "105524148"}, {"ref": "chamidudhilshan/csiro-biomass-comprehensive-eda", "kernel_id": "105555735"}, {"ref": "raziaawais123/csiro-biomass-baseline", "kernel_id": "105173841"}, {"ref": "aakashkumarsingh3690/csiro-biomass-prediction", "kernel_id": "105969845"}, {"ref": "hani300/dino-vc", "kernel_id": "105540880"}, {"ref": "shrutimalik123/csiro-v6-linear-scale-1k-warmrestarts", "kernel_id": "105502363"}, {"ref": "shrutimalik123/csiro-v4-5-fold-effnet-b4", "kernel_id": "105493686"}, {"ref": "shrutimalik123/csiro-5-fold-ensemble-efficientnet-b4", "kernel_id": "105416686"}, {"ref": "shrutimalik123/csiro-512px-with-tta", "kernel_id": "105404344"}, {"ref": "shrutimalik123/csiro-v4-5-fold-effnet-b4-gradaccum-bs-32", "kernel_id": "105425797"}, {"ref": "shrutimalik123/csiro-image2biomass-prediction", "kernel_id": "105261076"}, {"ref": "beaverb612/notebook9753074671", "kernel_id": "105062417"}, {"ref": "sigma777777777/biaoshenyyds", "kernel_id": "105528379"}, {"ref": "ilyayudkevich/image2biomass-prediction-iy2", "kernel_id": "106836503"}, {"ref": "dromosys/biomass-fastai-public", "kernel_id": "106182777"}, {"ref": "dromosys/biomass-fastai-public-v3", "kernel_id": "106193435"}, {"ref": "jiazhuang/csiro-pro-attn-tile1x2", "kernel_id": "106801816"}, {"ref": "vjagannath786/issues-with-image-only-models", "kernel_id": "106011284"}, {"ref": "obiaf88/csiro-image2biomass-prediction", "kernel_id": "106581163"}, {"ref": "gudwtr/csiro-baseline-ensemble", "kernel_id": "106760290"}, {"ref": "gudwtr/csiro-simple-baseline", "kernel_id": "106760476"}, {"ref": "gudwtr/csiro-baseline-ensemble-v2", "kernel_id": "106760614"}, {"ref": "hossam82/csiro-biomass-dinov2-giant-train", "kernel_id": "106087624"}, {"ref": "wesleyhuan/csiro-with-dino-base-pipline", "kernel_id": "106069043"}, {"ref": "jackbyte/csiro-remote-notebook", "kernel_id": "106621405"}, {"ref": "soumochatterjee/facebook-dinov2-large-inference-biomass-pred", "kernel_id": "106622135"}, {"ref": "kizons/notebookd83fde3672", "kernel_id": "106984837"}, {"ref": "vasanaust/csiro-kaggle-image2biomassprediction", "kernel_id": "106899201"}, {"ref": "simonedegasperis/inference-dinov2-2-streams", "kernel_id": "106573450"}, {"ref": "simonedegasperis/dinov2-training", "kernel_id": "106560711"}, {"ref": "pushpakbhoge/csiro-image2biomas-submission-notebook", "kernel_id": "106149299"}, {"ref": "kaydenschwartz/csiro-image2biomass-prediciton-kayden-submission", "kernel_id": "106667969"}, {"ref": "sarashahin/image2biomasprediction", "kernel_id": "106105223"}, {"ref": "prasadbhogle/train-biomass", "kernel_id": "106786024"}, {"ref": "meisa0/dinov2-training", "kernel_id": "106716590"}, {"ref": "ravi20076/csiro2025-sgkf-singlemodels-v2", "kernel_id": "106168130"}, {"ref": "masanakashima/csiro-biomass-visual-eda-strong-baseline-v1", "kernel_id": "106071830"}, {"ref": "hamzabinbutt/dinov2-version", "kernel_id": "106670367"}, {"ref": "mattiaangeli/dinov3-baseline-lb-0-70", "kernel_id": "106635495"}, {"ref": "engadamalmohammedi/csiro-lb-0-70-only-dinov3", "kernel_id": "106730954"}, {"ref": "hafidabelayd/csiro-biomass-hybrid-multimodal-starter-pytorch", "kernel_id": "106579459"}, {"ref": "saivardhanreddynarla/image2biomass-prediction-eda-1", "kernel_id": "106112876"}, {"ref": "yaroslav53/csiro-images-only-ensemble-of-four-models", "kernel_id": "106460904"}, {"ref": "vaishnavidesai345/biomasspredictor", "kernel_id": "106282997"}, {"ref": "rikuter67/vit-and-conv", "kernel_id": "106932849"}, {"ref": "dexdexter/csiro-second-notebook-mixedpredictor", "kernel_id": "106410402"}, {"ref": "myyuan888/dinov2", "kernel_id": "106795702"}, {"ref": "subbusrikantam/criso-dinov2-submission", "kernel_id": "106077457"}, {"ref": "siriasannino/submission-nb-benchmark", "kernel_id": "106051756"}, {"ref": "saunakdaschaudhuri/biomasspredictor-ipynb", "kernel_id": "106071615"}, {"ref": "hamzanaobahar/notebook42537021a9", "kernel_id": "106936872"}, {"ref": "hikarukai/csiro-opus-exp04-exp01-zero-classification-head", "kernel_id": "106149372"}, {"ref": "hikarukai/csiro-exp03-state-classification-acc-0-84", "kernel_id": "106148180"}, {"ref": "hikarukai/csiro-opus-exp07-4fold", "kernel_id": "106571697"}, {"ref": "pulkitmangal/notebook-image2biomass", "kernel_id": "106279301"}, {"ref": "hardecomm/csiro-biomass-prediction-task", "kernel_id": "106733761"}, {"ref": "khaireddinebachhamba/notebook59615494eb", "kernel_id": "106913468"}, {"ref": "suman2208/mamba-lb-0-70", "kernel_id": "106988974"}, {"ref": "suman2208/ndvi-prediction-for-test", "kernel_id": "106692271"}, {"ref": "sorndus/260110-biomass-submission", "kernel_id": "106640647"}, {"ref": "taharf/biomass-challenge-training-notebook", "kernel_id": "106904317"}, {"ref": "bariarituratibhai/csiro-ensemble-lb-0-681-0fca0d", "kernel_id": "106851404"}, {"ref": "divabhattacharya/siglip", "kernel_id": "106028316"}, {"ref": "divabhattacharya/state-classifier", "kernel_id": "106697871"}, {"ref": "divabhattacharya/csiro-height", "kernel_id": "106795250"}, {"ref": "vikasj1in/csiro-image2biomass-prediction-vk", "kernel_id": "106360965"}, {"ref": "mohamedamr992/convnext-with-attention-0-60", "kernel_id": "106398492"}, {"ref": "mohamedamr992/simple-start-resnet50-crossfold", "kernel_id": "106064627"}, {"ref": "mohamedamr992/dino-inference", "kernel_id": "106855063"}, {"ref": "darshanlahamage123/img2b-baseline", "kernel_id": "106900165"}, {"ref": "ayshthkr/csiro-dinov2-tta-lb-0-7", "kernel_id": "106696649"}, {"ref": "llkh0a/cisro-baseline-train-infer-21-12-dinov3-siglip", "kernel_id": "106188683"}, {"ref": "betmyex/baseline-train-infer-21-12-dinov3-siglip-4878eb", "kernel_id": "106333330"}, {"ref": "mt0010/simclr-dino-feat-concat", "kernel_id": "106379250"}, {"ref": "arjund29/dino-multifeaturehead", "kernel_id": "106020693"}, {"ref": "sakshambartwal/3mvp-models", "kernel_id": "106474644"}, {"ref": "sakshambartwal/featureengine-regressor", "kernel_id": "106476999"}, {"ref": "sakshambartwal/csiro-embbedings-2-0", "kernel_id": "106383912"}, {"ref": "sohangdebnath/fork-of-swin-transformer-da1a21", "kernel_id": "106622297"}, {"ref": "sohangdebnath/efficient-net", "kernel_id": "106484401"}, {"ref": "baidalinadilzhan/ensemble-siglip-with-dinov3-lb-0-71", "kernel_id": "106954353"}, {"ref": "avikdas567/weighted-multitarget-resnet18-regression-biomass", "kernel_id": "106876366"}, {"ref": "dinalhasantha/bio-mass-prediction-dinal-hasantha", "kernel_id": "106424491"}, {"ref": "sachchidanandadaki/csiro-biomass-dual-pipeline-trust-shift-60-40", "kernel_id": "106298301"}, {"ref": "sachchidanandadaki/cisro-input-models-dinov3-and-siglip-0-70", "kernel_id": "106729742"}, {"ref": "forrestxlz/1-6-vesion2-56f3b8", "kernel_id": "106564630"}, {"ref": "dheerajkannaujiya/csrio-math", "kernel_id": "106011872"}, {"ref": "taiyichiang/notebook2", "kernel_id": "106560500"}, {"ref": "takahitomizunobyts/lb-071-inference-ensemble-dinov3-siglip", "kernel_id": "106920147"}, {"ref": "john5568/simple-gungahlin-grass-guessing", "kernel_id": "106618655"}, {"ref": "sohang576/swin-transformer", "kernel_id": "106595506"}, {"ref": "richardkll/teacher-student-distillation", "kernel_id": "106943621"}, {"ref": "chingxly/0-64epoch50", "kernel_id": "106875745"}, {"ref": "chingxly/teacher-student-bbbbbbb", "kernel_id": "106939555"}, {"ref": "jjplayer/biomass-detection", "kernel_id": "106629211"}, {"ref": "andraciobi/first-iteration", "kernel_id": "106103271"}, {"ref": "whymelabs/biomass-weighted-log", "kernel_id": "106022257"}, {"ref": "whymelabs/biomass-simple-robust", "kernel_id": "106014034"}, {"ref": "yunakam907/0-68-csiro-3-model-ensemble-post-process", "kernel_id": "106837762"}, {"ref": "samyakrajbayar/cisro", "kernel_id": "106514806"}, {"ref": "samyakrajbayar/csiro", "kernel_id": "106515917"}, {"ref": "samyakrajbayar/csiro-dinov2", "kernel_id": "106814977"}, {"ref": "ravillan/tp2-ic", "kernel_id": "106229586"}, {"ref": "lyoki0630/csiro-ensemble-lb-0-681", "kernel_id": "106699186"}, {"ref": "hani300/vc-dataset-creator", "kernel_id": "106302284"}, {"ref": "yunnahua/csiro-pred-vit", "kernel_id": "106099674"}, {"ref": "caresment/csiro-efficientnetv2-baseline", "kernel_id": "106892058"}, {"ref": "ohadosi/csiro-image2biomass-cicero", "kernel_id": "106742808"}, {"ref": "beaverb612/notebook8a36aff6d5", "kernel_id": "106364419"}, {"ref": "zjayzz/lzx-new-version", "kernel_id": "106182745"}, {"ref": "zjayzz/1-6-vesion2", "kernel_id": "106285256"}, {"ref": "zjayzz/version-new-1", "kernel_id": "106080563"}, {"ref": "ykotoba/notebook79f1ce2f96", "kernel_id": "106453898"}, {"ref": "pocketbirder/notebookeac5968564", "kernel_id": "106624464"}, {"ref": "pocketbirder/qwen3-vision-biomass", "kernel_id": "106783253"}, {"ref": "lakshminarayana/fork-of-test-submit-for-validation", "kernel_id": "107535380"}, {"ref": "mayukh18/dinov3-no-tta-postprocess", "kernel_id": "107214842"}, {"ref": "lhagiimn/final-notebook-biomass-model-training", "kernel_id": "107409361"}, {"ref": "fzngagan/fast-ai-dinov3-base-csiro-biomass", "kernel_id": "107981672"}, {"ref": "sword4949/csiro-image2biomass-prediction-v2", "kernel_id": "107542658"}, {"ref": "sword4949/csiro-image2biomass-prediction", "kernel_id": "107518245"}, {"ref": "jiazhuang/csiro-ensemble-v5-add-siglip-add-multiview-postp", "kernel_id": "107646803"}, {"ref": "hossam82/dinov3-no-tta-postprocess", "kernel_id": "107275605"}, {"ref": "stpeteishii/species-pytorch-lightning-cnn-classifier-w-tpu", "kernel_id": "107377099"}, {"ref": "aditya1711/csiro-p2-19-ref-logic", "kernel_id": "107174999"}, {"ref": "aditya1711/csiro-p2-11-export-torchscript", "kernel_id": "107131923"}, {"ref": "vasanaust/csiro-kaggle-image2biomasspredictionimproved", "kernel_id": "107391327"}, {"ref": "rockerritesh/perfect-baseline", "kernel_id": "107164603"}, {"ref": "rockerritesh/inference-dinov2", "kernel_id": "107177229"}, {"ref": "rockerritesh/dinov3-no-tta-postprocess", "kernel_id": "107332115"}, {"ref": "manojkumars00/pasture-biomass-prediction-ml", "kernel_id": "107292198"}, {"ref": "manojkumars00/pasture-biomass-prediction-ml-submission", "kernel_id": "107298880"}, {"ref": "ashishkubade/csiro-upgrade-v3-final", "kernel_id": "107907226"}, {"ref": "lauvfpitipak/csiro-image2biomass-prediction-v-2", "kernel_id": "107237787"}, {"ref": "lauvfpitipak/csiro-image2biomass-prediction-v-1", "kernel_id": "107227103"}, {"ref": "billll/image2biomass-training-g", "kernel_id": "107015027"}, {"ref": "billll/image2biomass-training-clip-vit-c", "kernel_id": "107015030"}, {"ref": "billll/image2biomass-inference-c", "kernel_id": "107097321"}, {"ref": "billll/image2biomass-inference-g", "kernel_id": "107085794"}, {"ref": "billll/image2biomass-public-inference-c", "kernel_id": "107727618"}, {"ref": "ravi20076/csiro2025-finalcandidate-v1", "kernel_id": "107865821"}, {"ref": "mattiaangeli/csiro-swinv2", "kernel_id": "107305469"}, {"ref": "mattiaangeli/csiro-convnext2", "kernel_id": "107300110"}, {"ref": "mattiaangeli/eva02-inference", "kernel_id": "107295874"}, {"ref": "mattiaangeli/csiro-ensembling", "kernel_id": "107837561"}, {"ref": "yaroslav53/csiro-vit", "kernel_id": "107262610"}, {"ref": "sharmajicoder/image2biomass-prediction-resnet18", "kernel_id": "107136034"}, {"ref": "mr0106/csiro-image2biomass", "kernel_id": "107512297"}, {"ref": "mr0106/csiro-image2biomass-prediction1", "kernel_id": "107515335"}, {"ref": "mr0106/csiro-image2biomass-prediction", "kernel_id": "107438720"}, {"ref": "mr0106/csiro-image2biomass-submission-format-fix", "kernel_id": "107554063"}, {"ref": "mr0106/csiro-image2biomass-prediction-c-s", "kernel_id": "107552081"}, {"ref": "derickchris/csirov2", "kernel_id": "107365155"}, {"ref": "rahat2017/dino-lightgbm-5fold", "kernel_id": "107013816"}, {"ref": "zhiyue666/csiro-infer-ensemble-2p8p", "kernel_id": "107604740"}, {"ref": "haokwok2002/single-1209-v4", "kernel_id": "107518986"}, {"ref": "artemgoncarov/lb-0-77-0-63-agi-blend", "kernel_id": "107733301"}, {"ref": "ramazanturann/pretrained-dinov2-backbone-submission-code", "kernel_id": "107158272"}, {"ref": "nurikw3/kdskjdslad", "kernel_id": "107359408"}, {"ref": "mohamedamr992/simple-dinov2-training", "kernel_id": "107336586"}, {"ref": "ashrafulhossenakash/0-68-ensemble-4-model", "kernel_id": "107110468"}, {"ref": "ashrafulhossenakash/0-72-csiro", "kernel_id": "107294604"}, {"ref": "darshanlahamage123/sub1-baseline", "kernel_id": "107193088"}, {"ref": "nikitakuznetsof/bio-agi-failed-blend", "kernel_id": "107781122"}, {"ref": "cudacoding/speedup-ttt-fold2-w-o-pp-lb-0-77-0-65", "kernel_id": "107805752"}, {"ref": "haradibots/0-69-ensemble-3-models-embeddings", "kernel_id": "107042267"}, {"ref": "kushubhai/csiro-submission-notebook", "kernel_id": "107588585"}, {"ref": "giovannyrodrguez/siglep-dinov3", "kernel_id": "107100881"}, {"ref": "giovannyrodrguez/cnn-only", "kernel_id": "107670050"}, {"ref": "giovannyrodrguez/dinov2-cv-65-lb-67", "kernel_id": "107639406"}, {"ref": "baidalinadilzhan/siglip-dinos-pub-0-715-priv-0-61554-unselected", "kernel_id": "107767419"}, {"ref": "vaibhavv77/cross-attention-version-1", "kernel_id": "107294305"}, {"ref": "huifangzju/824-test", "kernel_id": "107623610"}, {"ref": "vishalreddyk/csiro-v2-best-0-06-one", "kernel_id": "107203537"}, {"ref": "kaitofukami/inference-vit", "kernel_id": "107109731"}, {"ref": "zhengkangmei/csiro-ensemble", "kernel_id": "107165751"}, {"ref": "judeafam/notebookd83fde3672", "kernel_id": "107115571"}, {"ref": "payaldhokane/csiro", "kernel_id": "107371084"}, {"ref": "wasiqaliyasir/csiro-notebook-pipeline", "kernel_id": "107370986"}, {"ref": "jenzenhuang/siglep-dinov3-zhuangjia-film-dinov3", "kernel_id": "107691707"}, {"ref": "ruchirachaubey/biomass-prediction", "kernel_id": "107123688"}, {"ref": "cfs123/dinov3-no-training-model-0-62", "kernel_id": "107545003"}, {"ref": "samyakrajbayar/notebook327f856289", "kernel_id": "107618991"}, {"ref": "kadmanusha/image2biomass", "kernel_id": "107187550"}, {"ref": "lyoki0630/dinov3", "kernel_id": "107269361"}, {"ref": "tinkuvahsisth/chotuu3", "kernel_id": "107400118"}, {"ref": "hiralrojesara/csiro-image2biomass-predic", "kernel_id": "107624088"}, {"ref": "sangeethasanthi/image2biomass-prediction", "kernel_id": "107251717"}, {"ref": "kiza123123/kizabgd", "kernel_id": "107390549"}, {"ref": "kiza123123/winer", "kernel_id": "107555116"}, {"ref": "datasciencegrad/csiro-siglip-dinov3-balanced-ensemble", "kernel_id": "107520674"}, {"ref": "kamilakorlatowicz/dino-v3-large", "kernel_id": "107077859"}, {"ref": "agropixel26/multi-source-med-gemma-framework-predictive-intell", "kernel_id": "107777043"}, {"ref": "quincyqiang/csiro-ensemble-models-v16", "kernel_id": "108167929"}, {"ref": "quincyqiang/csiro-ensemble-models-v12", "kernel_id": "108038222"}, {"ref": "pingfan/lb0-77-pb-0-67-1-debug-infer-two-gpus-v1-d45a08", "kernel_id": "108030868"}, {"ref": "quan0095/csiro-img2bio-final-submission-with-state", "kernel_id": "108011799"}, {"ref": "quan0095/csiro-2-tiles-vit-huge", "kernel_id": "108300603"}, {"ref": "quan0095/csiro2025-split-stratified-kfold", "kernel_id": "108289628"}, {"ref": "yeoyunsianggeremie/qgentic-20251122-eva02-large", "kernel_id": "108198950"}, {"ref": "bachaboos/sandevistanlr-pytorch-demo", "kernel_id": "108074879"}, {"ref": "bachaboos/sandevistanlr-tensorflow-demo", "kernel_id": "108021238"}, {"ref": "billll/csiro-ensemble-lb-0-681", "kernel_id": "108008641"}, {"ref": "billll/siglep-dinov3", "kernel_id": "108008567"}, {"ref": "kamaljit/grass-greenary-confidence", "kernel_id": "108317252"}, {"ref": "joshuaburnsblack/csiro-final-submission", "kernel_id": "108189093"}, {"ref": "ismail89/csiro-image2biomass-try", "kernel_id": "108150072"}, {"ref": "ramazanturann/pretrained-dinov2-backbone-train-code", "kernel_id": "108355427"}, {"ref": "ashrafulhossenakash/notebook1ca092a37f", "kernel_id": "108136488"}, {"ref": "ayshthkr/csiro-image2biomass-final-draft-0-75-0-63-lb", "kernel_id": "108221183"}, {"ref": "giovannyrodrguez/model-tree-xgb-and-lgbm-lb-59", "kernel_id": "108184471"}, {"ref": "akiraxrd/convnextv2-predicting-biomass", "kernel_id": "108338208"}, {"ref": "dinalhasantha/csiro-biomass-prediction-003-dinal-hasantha", "kernel_id": "108374568"}, {"ref": "dinalhasantha/csiro-biomass-prediction-2-dinal-hasantha", "kernel_id": "108261474"}, {"ref": "dinalhasantha/criso-bio-mass-prediction-4", "kernel_id": "108703140"}, {"ref": "dinalhasantha/criso-bio-mass-prediction-with-efficianenet-b0-5", "kernel_id": "108871134"}, {"ref": "kazeneko77/siglep-dinov3-002-public-0-72821-private-0-61572", "kernel_id": "108167219"}, {"ref": "yunakam907/csiro-dinov2-clip-features-dinov3-v2", "kernel_id": "108066114"}, {"ref": "akashbethe/pasture-biomass-prediction-model", "kernel_id": "108208222"}, {"ref": "renwangliao/siglep-update-lb0-67-dinov3-lb0-7-final-0-61", "kernel_id": "108232226"}, {"ref": "shahtirtha/transformer-based", "kernel_id": "110475102"}, {"ref": "surumendd/csiro-latesub-exp007-000-dinov3-lora", "kernel_id": "110341517"}, {"ref": "mothstranger/notebook5817b10f94", "kernel_id": "110265523"}, {"ref": "peiiqii/3-16-folder", "kernel_id": "111655704"}, {"ref": "pabloramosmadrigal/biomass-vgg-sample", "kernel_id": "112218598"}, {"ref": "petrumihaicraciun/pytorch-cv-predict", "kernel_id": "113318045"}, {"ref": "pabloramosmadrigal/second-experiment", "kernel_id": "113048342"}, {"ref": "sansethisak/siglep", "kernel_id": "114750363"}, {"ref": "samiraghazvineh/notebook22e36f59ce", "kernel_id": "115936617"}, {"ref": "sandeshlavhsetty/nndl-ipynb", "kernel_id": "115737373"}, {"ref": "nassersotudeh/notebook2bb4c0a064", "kernel_id": "115487743"}, {"ref": "leemankommu/cisro", "kernel_id": "115269793"}, {"ref": "pr4veenv/csiro-img2biomass", "kernel_id": "116571063"}, {"ref": "geekhole/notebook8bb796fd2d", "kernel_id": "116754115"}, {"ref": "pabloramosmadrigal/solution-one-vg116", "kernel_id": "116807271"}, {"ref": "pabloramosmadrigal/resnet50-linear-third-solution", "kernel_id": "116977719"}, {"ref": "pabloramosmadrigal/b3-ridge-second-solution", "kernel_id": "116899896"}, {"ref": "pabloramosmadrigal/resnet50-svr-third-solution", "kernel_id": "116901198"}, {"ref": "pabloramosmadrigal/second-solution-b3-and-ridgecv", "kernel_id": "116889397"}, {"ref": "pabloramosmadrigal/second-solution-b3-and-ridge", "kernel_id": "116885989"}, {"ref": "aryankhanuja/siglip-finetuning-for-regression", "kernel_id": "118587829"}, {"ref": "mdhhkviyeigsi/convextnxt", "kernel_id": "118307074"}, {"ref": "geekhole/finalver", "kernel_id": "118834127"}, {"ref": "shloakshetty/csiro-tuned-lightgbm-xgboost-ensemble", "kernel_id": "123243310"}, {"ref": "secretiveplotter1863/csiro-image2biomass-prediction", "kernel_id": "128590547"}, {"ref": "wajihullahbaig/convnextv2-vit-inference", "kernel_id": "135413477"}, {"ref": "wajihullahbaig/convnextv2-vit-train", "kernel_id": "135413767"}]}
{"competition_id": "112606", "kernels": []}
{"competition_id": "112608", "kernels": [{"ref": "tobimichigan/integrative-artificial-intelligence-for-t1d", "kernel_id": "91780381"}, {"ref": "ishitabahamnia/t1d-dchallenge-2025-ipyb-notebook4e9a31b062", "kernel_id": "91703940"}]}
{"competition_id": "112612", "kernels": []}
{"competition_id": "112615", "kernels": []}
{"competition_id": "112671", "kernels": [{"ref": "mokshe2511/lab-1", "kernel_id": "90299935"}, {"ref": "sakshii1615/iit2023255-lab3", "kernel_id": "91665550"}, {"ref": "sakshii1615/iit2023255-6a", "kernel_id": "91666606"}, {"ref": "sakshii1615/notebook9f9a25cd39", "kernel_id": "91846545"}, {"ref": "devruhela28/ques6b", "kernel_id": "91317341"}]}
{"competition_id": "112681", "kernels": []}
{"competition_id": "112754", "kernels": [{"ref": "luoshiyong/baseline-xxx", "kernel_id": "90078676"}, {"ref": "alivinliu/2025-8-25", "kernel_id": "90376633"}, {"ref": "towards001/2025-8-27", "kernel_id": "90547722"}]}
{"competition_id": "112779", "kernels": []}
{"competition_id": "112843", "kernels": [{"ref": "amanichabouni/baybe-branin-sobo-demo", "kernel_id": "93375786"}, {"ref": "amanichabouni/botorch-branin-sobo-demo", "kernel_id": "93375223"}, {"ref": "amanichabouni/bofire-branin-optimization-demo", "kernel_id": "93374725"}, {"ref": "amanichabouni/ax-branin-sobo-demo", "kernel_id": "93374451"}]}
{"competition_id": "112899", "kernels": [{"ref": "ambrosm/gxsa-transfer-learning-with-resnet-50", "kernel_id": "90876939"}, {"ref": "ghassenbennacer/resnet50-chest-x-ray-pytorch", "kernel_id": "90646568"}, {"ref": "akbkck101/notebookbc743e012f", "kernel_id": "90498416"}, {"ref": "mitamjeen/x-ray", "kernel_id": "90118896"}, {"ref": "guntasdhanjal/grand-x-ray-slam-division-a-eda", "kernel_id": "90006407"}, {"ref": "guntasdhanjal/simple-cnn-baseline-for-division-a", "kernel_id": "90026621"}, {"ref": "daosyduyminh/kaggle-chest-x-ray-submission-notebook", "kernel_id": "90976290"}, {"ref": "noob786/grand-x-ray-slam-division-a", "kernel_id": "90878175"}, {"ref": "zairiamine/pre-trained-fine-tuning-for-x-rays", "kernel_id": "90875978"}, {"ref": "ryzhokhina/grand-x-ray-div-a-eda", "kernel_id": "91600452"}, {"ref": "albertoalberto/xray-slam", "kernel_id": "91956855"}, {"ref": "babydriver1233/grand-x-ray-slam-division-a-complete-solution", "kernel_id": "91393611"}, {"ref": "cedricbrzyski/pre-trained-fine-tuning-for-x-rays", "kernel_id": "91481425"}, {"ref": "guntasdhanjal/x-ray-slam-division-a-week-2-battle-report", "kernel_id": "91004240"}, {"ref": "guntasdhanjal/this-efficientnetb0-will-surprise-you", "kernel_id": "91162313"}, {"ref": "guntasdhanjal/division-a-week-3-158-submission-surge", "kernel_id": "91538384"}, {"ref": "hard007ikmakwana/vit-imageaug-gput42", "kernel_id": "91613221"}, {"ref": "mos3santos/division-158-submission", "kernel_id": "92228462"}, {"ref": "abhishekchavan01/vision-transformer-classification", "kernel_id": "92252345"}, {"ref": "guntasdhanjal/x-ray-division-a-25-days-down-25-to-go", "kernel_id": "92129414"}, {"ref": "masry1/600-p-div-a", "kernel_id": "92498673"}, {"ref": "daosyduyminh/ensemble-xray", "kernel_id": "92155705"}, {"ref": "noskaiser/fork-of-x-ray-baseline", "kernel_id": "92590733"}, {"ref": "hieuai03/x-ray-1-2", "kernel_id": "92540526"}, {"ref": "punyakdei/grand-x-ray-slam-division-a", "kernel_id": "92518581"}, {"ref": "rupaksv/notebook7e143e5aed", "kernel_id": "92162975"}, {"ref": "ramandipsingh/grand-x-ray-slam-division-a", "kernel_id": "92595439"}, {"ref": "franklingois/converter-dataset-npy", "kernel_id": "92104380"}, {"ref": "franklingois/how-to-get-0-93", "kernel_id": "92741671"}, {"ref": "forgpufree/convnext", "kernel_id": "92042559"}, {"ref": "forgpufree/multi-head-convattn", "kernel_id": "92961494"}, {"ref": "hytahy/notebookb3327bedb7", "kernel_id": "92668950"}, {"ref": "ujjawalsingh10/effnetv2-s-chest-xray", "kernel_id": "93939427"}, {"ref": "kunalinfinite/seresnextaa201d-32x8d-sw-in12k-ft-in1k-384", "kernel_id": "93340662"}, {"ref": "ishitabahamnia/grand-x-ray-slam-division-anotebookd6ab6203da", "kernel_id": "93338840"}, {"ref": "saikyowon/model", "kernel_id": "93358869"}, {"ref": "forgpufree/true-multihead", "kernel_id": "93046969"}, {"ref": "balajivaraprasad/chexnet-14-thoracic-disease-prediction-cnn", "kernel_id": "94352556"}, {"ref": "hunhtnthnh/grand-x-ray-slam-division-b-tpu", "kernel_id": "94632856"}, {"ref": "jiyarathi/grand-x-ray-slam", "kernel_id": "94091744"}, {"ref": "guntasdhanjal/grand-x-ray-slam-div-a-final-report", "kernel_id": "94894933"}, {"ref": "kiyotaka1102/simple-0-93", "kernel_id": "94465837"}, {"ref": "kunalinfinite/xraydivisiona-ensemble2", "kernel_id": "94067103"}, {"ref": "ramandipsingh/submission-csv", "kernel_id": "94293965"}, {"ref": "hunhtnthnh/grand-x-ray-slam-division-b-tpu-eva-x", "kernel_id": "97661341"}, {"ref": "jeminm/metadata-processing", "kernel_id": "105312963"}, {"ref": "henek93/x-ray-analyze", "kernel_id": "106777858"}]}
{"competition_id": "112945", "kernels": []}
{"competition_id": "112946", "kernels": []}
{"competition_id": "113002", "kernels": [{"ref": "guntasdhanjal/simple-cnn-baseline-for-division-b", "kernel_id": "90491747"}, {"ref": "guntasdhanjal/grand-x-ray-slam-division-b-eda", "kernel_id": "90130110"}, {"ref": "guntasdhanjal/grand-slam-competition-division-b-week-2-results", "kernel_id": "91020900"}, {"ref": "guntasdhanjal/catch-this-0-90-with-resnet-50-on-division-b", "kernel_id": "91166355"}, {"ref": "guntasdhanjal/division-b-explodes-week-3-analysis", "kernel_id": "91542870"}, {"ref": "daltongabrielomondi/thoracic-cancer", "kernel_id": "91699783"}, {"ref": "tanmayistired/grand-x-ray-slam-division-b", "kernel_id": "91267801"}, {"ref": "isaacmenard/grand-x-ray-slam-b", "kernel_id": "91997229"}, {"ref": "guntasdhanjal/division-b-week-4-halfway-point-reached", "kernel_id": "92134484"}, {"ref": "masry1/600p-div-b", "kernel_id": "92499102"}, {"ref": "yaswinrajm/chestxray", "kernel_id": "92992600"}, {"ref": "ramandipsingh/grand-x-ray-slam-division-b", "kernel_id": "93545941"}, {"ref": "hunhtnthnh/grand-x-ray-slam-division-b-tpu", "kernel_id": "94632856"}, {"ref": "guntasdhanjal/grand-x-ray-slam-division-b-final-report", "kernel_id": "94936634"}, {"ref": "adityapushola/conv-newloss", "kernel_id": "94802716"}, {"ref": "ramandipsingh/submissionb", "kernel_id": "94768049"}, {"ref": "elmaddinguliyev/notebook95ecdda8fc", "kernel_id": "95093579"}, {"ref": "solitarycyclist17/x-ray-slam-div-b-v4", "kernel_id": "95231225"}, {"ref": "hunhtnthnh/grand-x-ray-slam-division-b-tpu-eva-x", "kernel_id": "97661341"}]}
{"competition_id": "113006", "kernels": [{"ref": "cosmicescape/elite-smoking-prediction-pipeline", "kernel_id": "105761109"}, {"ref": "sunnynguyensanjoseca/smoking-prediction-health-metrics", "kernel_id": "105155586"}]}
{"competition_id": "113014", "kernels": []}
{"competition_id": "113051", "kernels": [{"ref": "kaviya25mid1026/kaviya-shivani-25mid1026-25mid1063", "kernel_id": "97289253"}]}
{"competition_id": "113052", "kernels": []}
{"competition_id": "113102", "kernels": []}
{"competition_id": "113103", "kernels": [{"ref": "camiloprog2025/notebook94de1125b2", "kernel_id": "90591041"}, {"ref": "cintuchautala/notebook120dae42c0", "kernel_id": "91323201"}, {"ref": "edwardpen/notebookship", "kernel_id": "91965759"}, {"ref": "nopheirgeorgefarag/lab-2", "kernel_id": "93337551"}, {"ref": "baonguyen2611/notebook2db3e4c5ca", "kernel_id": "104788182"}]}
{"competition_id": "113118", "kernels": [{"ref": "miraclelpx/teacher-example-lstm-for-imdb", "kernel_id": "91698989"}, {"ref": "williesus/lstm-transformer", "kernel_id": "97699706"}, {"ref": "silencexs/example-by-teacher-transformer", "kernel_id": "102527136"}, {"ref": "miraclelpx/teacher-example-transformer-for-imdb", "kernel_id": "112441228"}]}
{"competition_id": "113155", "kernels": [{"ref": "sczhuoffical/s-c-zhu-faml-method-mh", "kernel_id": "69459631"}, {"ref": "cid007/eda-fe-ensemble", "kernel_id": "90974349"}, {"ref": "kuntalmaity/thermophysical-property", "kernel_id": "90808869"}, {"ref": "omidbaghchehsaraei/thermophysical-property-melting-point-autogluon", "kernel_id": "90851443"}, {"ref": "omidbaghchehsaraei/thermophysical-property-melting-point-cv-26-63", "kernel_id": "90796919"}, {"ref": "niazmahmud0201/jigsaw-packages", "kernel_id": "90926921"}, {"ref": "garrickchinnis/thermophysical-property-melting-point-xgboost", "kernel_id": "90710203"}, {"ref": "omarjesusdelatorre/starter-notebook", "kernel_id": "90831111"}, {"ref": "omarjesusdelatorre/v2-starter-notebook", "kernel_id": "90836234"}, {"ref": "singha07/thermodynamics-melting-point-mae-26-69", "kernel_id": "90864673"}, {"ref": "chiragsharma1201/thermophysical-property-mp", "kernel_id": "90871831"}, {"ref": "nina2025/thermophysical-property-melting-point-h-blend", "kernel_id": "90852332"}, {"ref": "stpeteishii/melting-point-lgbm-w-optuna-kfold", "kernel_id": "91896486"}, {"ref": "kratipandya/predict-temp", "kernel_id": "91546344"}, {"ref": "taylorsamarel/v4-remix-thermophysical-property-melting", "kernel_id": "91109045"}, {"ref": "daniyalatta/testing-achive-best-score-23-98", "kernel_id": "91112609"}, {"ref": "daniyalatta/autogluon-multi", "kernel_id": "91046430"}, {"ref": "daniyalatta/end-to-end-luffy-code-xgb", "kernel_id": "91021439"}, {"ref": "affankhan8499/melting-point", "kernel_id": "91766180"}, {"ref": "ayush500/thermophysical-property-melting-point", "kernel_id": "91447763"}, {"ref": "ryqn00/thermophysical-property-melting-point", "kernel_id": "91405427"}, {"ref": "gregpelletier/xgboost-optuna-public-score-23-8", "kernel_id": "91936497"}, {"ref": "gregpelletier/lightgbm-optuna-public-score-23-98", "kernel_id": "91952028"}, {"ref": "gregpelletier/catboost-optuna-public-score-23-3", "kernel_id": "91881555"}, {"ref": "avineshprabhakaran/thermophysical-property-melting-point", "kernel_id": "91056886"}, {"ref": "benjaminlundkvist/melting-point-prediction-lightgbm-rf-stacking", "kernel_id": "91322811"}, {"ref": "awguhst/experimenting-with-hybrid-gnn-models", "kernel_id": "91457348"}, {"ref": "awguhst/polymer-glass-transition-tg-autogluon", "kernel_id": "91793811"}, {"ref": "stpeteishii/melting-point-gnn-w-optuna-kfold", "kernel_id": "92469975"}, {"ref": "stpeteishii/melting-point-ensemble-stacked-generalization", "kernel_id": "92132433"}, {"ref": "nkaria1/predicting-melting-point", "kernel_id": "92389196"}, {"ref": "bhavyabhola/meltingpoint-prediction-using-feature-importance", "kernel_id": "92347908"}, {"ref": "bhavyabhola/meltingpoint-prediction-using-lightgbm", "kernel_id": "92826880"}, {"ref": "ashikshahriar/sample-work-and-submission", "kernel_id": "92896399"}, {"ref": "diofthecr3ed/oc-mp-prediction-catboost-optuna", "kernel_id": "92876715"}, {"ref": "ruhul20/predict-melting-point-catboostregressor", "kernel_id": "92548324"}, {"ref": "gregpelletier/isotonic-blend-public-score-23-0", "kernel_id": "92850799"}, {"ref": "gregpelletier/xgboost-optuna-native-categorical-score-24-0", "kernel_id": "92162139"}, {"ref": "gregpelletier/xgboost-optuna-with-gpu-public-score-23-7", "kernel_id": "92102013"}, {"ref": "abhinavgautam/thermophysical-property-melting-point", "kernel_id": "93502100"}, {"ref": "aasirwaseer/melting-point-prediction-parachor-feature", "kernel_id": "93399313"}, {"ref": "msvrao/temperature", "kernel_id": "93250921"}, {"ref": "hrithiman/notebook77a440b29a", "kernel_id": "93785722"}, {"ref": "aliffaagnur/single-lightgbm-optuna", "kernel_id": "93188734"}, {"ref": "aliffaagnur/single-catboost-optuna", "kernel_id": "93247052"}, {"ref": "aliffaagnur/single-xgboost-optuna", "kernel_id": "93242191"}, {"ref": "jieuna1/xgboost-with-optuna", "kernel_id": "93502274"}, {"ref": "devanshshukla123/lgbmregression-and-analysis", "kernel_id": "93339000"}, {"ref": "riddhimaiti/melting-point-prediction", "kernel_id": "93775345"}, {"ref": "gregpelletier/xgboost-no-data-leakage-score-24-38", "kernel_id": "93507687"}, {"ref": "gregpelletier/ridge-blend-public-score-22-99", "kernel_id": "93230867"}, {"ref": "hmnshudhmn24/melting-point-prediction", "kernel_id": "93686528"}, {"ref": "musk2025/notebook0e8fa09ee2", "kernel_id": "93730898"}, {"ref": "andyc97/chemberta-finetuning-with-downstream-xgboost", "kernel_id": "94816601"}, {"ref": "nishantgautam0079/notebookebb0b77655", "kernel_id": "94245645"}, {"ref": "sufya6/melting-point-advanced-rdkit-features-optuna", "kernel_id": "94007789"}, {"ref": "namanagarwalok/graph-neural-net-with-xgb", "kernel_id": "94372249"}, {"ref": "adityakumarsingh135/melting-point-prediction-xgboost-optuna", "kernel_id": "94326429"}, {"ref": "nailaluqyana/find-melting-point-predictions", "kernel_id": "95308971"}, {"ref": "baiguangmei/melting-point-xgboost-optuna-optimize", "kernel_id": "95233872"}, {"ref": "devanshkumarverma/melting-point", "kernel_id": "95733808"}, {"ref": "taisei7/melting-point-prediction-rdkit-optuna", "kernel_id": "95851173"}, {"ref": "paolomascia/melting-point-xgb-optuna", "kernel_id": "96369828"}, {"ref": "paolomascia/melting-point-dnn-k-fold", "kernel_id": "96376269"}, {"ref": "ceecreative/thermophysical-property-melting-point", "kernel_id": "96739459"}, {"ref": "seddiktrk/meltingpoint-predictions", "kernel_id": "96577884"}, {"ref": "n4yuc4/melting-point-prediction-lightgbm-optuna", "kernel_id": "96300218"}, {"ref": "craftycode/melting-prediction", "kernel_id": "96817555"}, {"ref": "aithbb/feature-engineering-catboost", "kernel_id": "96847709"}, {"ref": "hughchoi/mice-hyperopt-exploration-playground-comp", "kernel_id": "96436999"}, {"ref": "umar47/thermo-classic-ml-graph-nns", "kernel_id": "97396702"}, {"ref": "suprivi/thermophysical-property-melting-point", "kernel_id": "97445420"}, {"ref": "moonfaced/thermophys-comp", "kernel_id": "97532015"}, {"ref": "paharpurailab/mp-prediction-ensemble-averaging", "kernel_id": "97723113"}, {"ref": "jmzy25/xgboost-melting-point-v1", "kernel_id": "97652260"}, {"ref": "sanpier/feature-engineering-lgbm-external-data", "kernel_id": "98447634"}, {"ref": "kirikiti/transformed-melting-point-datasets", "kernel_id": "98429019"}, {"ref": "rakesh82rawat/rr2a-thermophysical-property-melting-pt-solution", "kernel_id": "99068766"}, {"ref": "kirikiti/melting-point-competition", "kernel_id": "99005922"}, {"ref": "krishpansara/thermophysical-property-experiments", "kernel_id": "100740552"}, {"ref": "jsganesh/tmpoint-extdata-advanced-stack-py", "kernel_id": "100386986"}, {"ref": "jsganesh/tmpoint-extdata-advanced-py", "kernel_id": "100348671"}, {"ref": "jsganesh/tmpoint-ethical-noextdata-py", "kernel_id": "100345656"}, {"ref": "amitkumargope/melting-point-eda-prediction", "kernel_id": "102245599"}, {"ref": "adityapawar327/ensemble-ml-for-melting-point-prediction", "kernel_id": "102493780"}, {"ref": "abhishekgodara/melting-point-prediction-best-score-6-99", "kernel_id": "102804756"}, {"ref": "amit393/tm-predict", "kernel_id": "102265014"}, {"ref": "hlothaire/melting-point-prediction", "kernel_id": "102975471"}, {"ref": "cigarzon/notebook6cda34caa6", "kernel_id": "102460411"}, {"ref": "jmzy25/gcn-melting-point-baseline-v1", "kernel_id": "102937713"}, {"ref": "jmzy25/gnn-melting-point-v1", "kernel_id": "102324629"}, {"ref": "nguynctriu897/machine-learning-project", "kernel_id": "102870507"}, {"ref": "surajksharma7/thermophysical-property-melting-point", "kernel_id": "103571645"}, {"ref": "awguhst/gnn-ensemble", "kernel_id": "103095571"}, {"ref": "abhinavsharma0706/thermophysical-11", "kernel_id": "104739398"}, {"ref": "prajwalkhambad/melting-point-problem", "kernel_id": "104738204"}, {"ref": "phuong2k4/machine-learning-project", "kernel_id": "104411817"}, {"ref": "soubhiksarkar69420/notebookb8e65b6c6a", "kernel_id": "105484673"}, {"ref": "hisukim/melting-point-resubmission", "kernel_id": "105513170"}, {"ref": "krishpansara/thermophysical-property-experiments-with-models", "kernel_id": "105470957"}, {"ref": "kumaraakshant/morgan-fingerprint-method", "kernel_id": "105857628"}, {"ref": "maxphysai/my-melt-2", "kernel_id": "105912980"}, {"ref": "hosseinbadrnezhad/melting-point-lightgbm", "kernel_id": "105384985"}, {"ref": "hosseinbadrnezhad/thermophysical-property-melting-point-catboostregr", "kernel_id": "105383505"}, {"ref": "masanakashima/elite-ensemble-hybrid-sota-v6", "kernel_id": "106083197"}, {"ref": "masanakashima/elite-ensemble-chemberta-rdkit", "kernel_id": "106080899"}, {"ref": "masanakashima/elite-ensemble-rdkit-gbdt-stacking-high-score", "kernel_id": "106079898"}, {"ref": "masanakashima/elite-ensemble-hybrid-sota-v7", "kernel_id": "106087911"}, {"ref": "masanakashima/elite-ensemble-robust-hybrid-sota-v4", "kernel_id": "106082687"}, {"ref": "masanakashima/elite-ensemble-v7-fixed-imports", "kernel_id": "106091216"}, {"ref": "deepika0405/melting-point-3-0", "kernel_id": "106353081"}, {"ref": "deepika0405/melting-point-pred-2-0", "kernel_id": "106294972"}, {"ref": "deepika0405/melting-point-prediction", "kernel_id": "106291579"}, {"ref": "rahulchauhan016/melting-point-prediction-challenge", "kernel_id": "106787403"}, {"ref": "samyakrajbayar/helap-again-again", "kernel_id": "106616151"}, {"ref": "samyakrajbayar/thermophysical-2", "kernel_id": "106815279"}, {"ref": "scuzjy/thermophysical-property-melting-point", "kernel_id": "106491439"}, {"ref": "sword4949/thermophysical-property-melting-point", "kernel_id": "107661915"}, {"ref": "vinitkp/melting-point-c-for-organic-compounds", "kernel_id": "107952375"}, {"ref": "shivanisharma1297/melting-point-prediction", "kernel_id": "107485965"}, {"ref": "korobiftj/melting-point-prediction", "kernel_id": "107834307"}, {"ref": "parthzadeshwariya/thermophysical-property-melting-point", "kernel_id": "107976223"}, {"ref": "alanamonks/physichochemical-features-ensemble", "kernel_id": "107549560"}, {"ref": "kotsubu/lgbm-fusing-k-mer-textual-patterns-atom-pairs", "kernel_id": "107827128"}, {"ref": "prabhleenkaur6003/submission-melting-point", "kernel_id": "107761249"}, {"ref": "zorornoa/thermophysical-melting-prediction", "kernel_id": "107680715"}, {"ref": "adityakumarsony/notebook856390cd42", "kernel_id": "107176707"}, {"ref": "zholtikovas/predict-melting-point-of-organic-molecules", "kernel_id": "107430927"}, {"ref": "basselashraf/melting-point-prediction-challenge", "kernel_id": "108552188"}, {"ref": "lakhindarpal/thermophysical-property-melting-point", "kernel_id": "108182591"}, {"ref": "marawaneslam/thermophysical-property-melting-point", "kernel_id": "108393771"}, {"ref": "sofiemeyer/xgboost-for-melting-point-temperature-prediction", "kernel_id": "108105018"}, {"ref": "dureyashfeen/melting-point-pred", "kernel_id": "108269063"}, {"ref": "yusufmurtaza01/thermophysical", "kernel_id": "108454329"}, {"ref": "mukundtimbadiya/exploratory-data-analysis-and-modeling-of-organic", "kernel_id": "108584795"}, {"ref": "yogendrabs/thermophysical-property", "kernel_id": "108742001"}, {"ref": "shivsatyam/gasteiger-charges-extra-features-with-lgbm", "kernel_id": "115392293"}, {"ref": "tarunraii/rd-kit-solution", "kernel_id": "117220612"}, {"ref": "ericzhang522/melting-point-competition-v1", "kernel_id": "134280780"}]}
{"competition_id": "113156", "kernels": []}
{"competition_id": "113204", "kernels": [{"ref": "jihoonkwon/baseline-for-agentic-retrieval-grand-challenge", "kernel_id": "92194809"}, {"ref": "daosyduyminh/acm-icaif-25-just-run-local-model", "kernel_id": "92372459"}, {"ref": "yuzhenhu/icaif-25-agentic-retrieval", "kernel_id": "96150115"}, {"ref": "kunwooyoo/chunk-ranking", "kernel_id": "96066690"}, {"ref": "kunwooyoo/document-ranking", "kernel_id": "96482807"}, {"ref": "ffuuyyf/test-for-graph", "kernel_id": "99895571"}, {"ref": "naileafalcon/financial-analisis-alro-salesforce", "kernel_id": "117542347"}]}
{"competition_id": "113213", "kernels": []}
{"competition_id": "113216", "kernels": []}
{"competition_id": "113222", "kernels": []}
{"competition_id": "113338", "kernels": []}
{"competition_id": "113348", "kernels": []}
{"competition_id": "113349", "kernels": []}
{"competition_id": "113356", "kernels": []}
{"competition_id": "113366", "kernels": [{"ref": "taxocat/ml-league-week4", "kernel_id": "90738685"}, {"ref": "jam2004/ml-league-week-4", "kernel_id": "90775012"}, {"ref": "ashwalshanbhag/week-4", "kernel_id": "91887956"}, {"ref": "wizard1803/ml-league-task-4-basic", "kernel_id": "91434935"}, {"ref": "jeetumodi/comments-classifications-ml-league-4", "kernel_id": "92386990"}, {"ref": "vivekk7/ml-league-task4", "kernel_id": "92460261"}, {"ref": "prady2005/lstm-mlleague-4", "kernel_id": "92552155"}, {"ref": "wizard1803/ml-league-task-4-basic-final", "kernel_id": "92122682"}]}
{"competition_id": "113534", "kernels": []}
{"competition_id": "113535", "kernels": []}
{"competition_id": "113558", "kernels": [{"ref": "hossam82/scientific-image-forgery-eda", "kernel_id": "96577404"}, {"ref": "hossam82/code-sif-model-train", "kernel_id": "96583006"}, {"ref": "stpeteishii/authentic-forged-image-comparison", "kernel_id": "96832626"}, {"ref": "mpwolke/authentic-copy-move-forgery-cmf", "kernel_id": "96308028"}, {"ref": "tasmim/eda-detecting-copy-move-forgeries", "kernel_id": "96364678"}, {"ref": "ravinderbahl/notebook31d46db244", "kernel_id": "96896522"}, {"ref": "rockerritesh/yolo-baby-submission", "kernel_id": "96597656"}, {"ref": "muki2003/segformer-mit-b2-image-forgery-segmentation", "kernel_id": "96921808"}, {"ref": "jirkaborovec/forgery-eda-visual-annot-sam2-instances", "kernel_id": "96309811"}, {"ref": "jirkaborovec/forgery-detection-convert-to-coco-yolo", "kernel_id": "96940216"}, {"ref": "manojkumars00/first-impression", "kernel_id": "96832209"}, {"ref": "evanoleary/scientific-forgery-fails-on-data-extraction", "kernel_id": "96654681"}, {"ref": "ladymj/paired-efficientnet-b0-official-metric", "kernel_id": "96519760"}, {"ref": "joelbhaskarnadar/scientific-image-forgery-detection", "kernel_id": "96498524"}, {"ref": "nobita7/simple-u-net-baseline", "kernel_id": "96741864"}, {"ref": "sararc83/scientific-image-forgery-detection-with-nnunet", "kernel_id": "96300915"}, {"ref": "taylorsamarel/traditional-ml-solution-basic", "kernel_id": "96680497"}, {"ref": "taylorsamarel/starter-beginner-notebook-with-eda", "kernel_id": "96411284"}, {"ref": "carsoncheng/sam-dice-score-thresholding-lb-0-257", "kernel_id": "96723311"}, {"ref": "frankmorales/forgery-final-submission", "kernel_id": "96564549"}, {"ref": "miadul/forgery-classification-cnn", "kernel_id": "96391174"}, {"ref": "divya2122/base-model-un-net-implementation", "kernel_id": "96533435"}, {"ref": "wassimtahir/u-net-forgery-detector-full-eda-training-pipeline", "kernel_id": "96521074"}, {"ref": "wassimtahir/guide-for-newcomers-eda-u-net-implementation", "kernel_id": "96455250"}, {"ref": "dreldirdirifadol/notebook918be9a852", "kernel_id": "96861077"}, {"ref": "abdullah0a/deepfake-image-forgery-detection", "kernel_id": "96410081"}, {"ref": "antonoof/eda-r-cnn-model", "kernel_id": "96300374"}, {"ref": "antonoof/rle-metric-simple-submission", "kernel_id": "96310322"}, {"ref": "antonoof/yolo11-seg-config-ultralytics", "kernel_id": "96984369"}, {"ref": "sailakshmi77/notebook34156802af", "kernel_id": "96376012"}, {"ref": "abdulahadshaik/image-forgery-detection-1a", "kernel_id": "96484355"}, {"ref": "abdulahadshaik/image-forgery-detection-1", "kernel_id": "96345498"}, {"ref": "samaahmednasr/submission-scientific-image-forgery-detection", "kernel_id": "96997535"}, {"ref": "djamilabenchikh/start-to-detect-analyze-train-a-resnet-18", "kernel_id": "96738470"}, {"ref": "aaryan549/ultra-fast-image-forgery-detection-u-net", "kernel_id": "96901427"}, {"ref": "sarbojeetbhowmick/scientific-image-forgery-detctn-sb", "kernel_id": "96968204"}, {"ref": "mdferozahmedafm/luc-scientific-image-forgery-detection", "kernel_id": "96383046"}, {"ref": "maheenkhurshid/scientific-image-forgery-detection-using-u-net", "kernel_id": "96415925"}, {"ref": "isaacmenard/train-scientific-image-forgery-detection", "kernel_id": "96295755"}, {"ref": "isaacmenard/scientific-image-forgery-data-analysis", "kernel_id": "96298628"}, {"ref": "isaacmenard/submission-scientific-image-forgery-detection", "kernel_id": "96304968"}, {"ref": "shreyashpatil217/ultra-fast-image-forgery-detection-u-net", "kernel_id": "96748081"}, {"ref": "ayushkumar20222/notebooke87e528bd1", "kernel_id": "96368989"}, {"ref": "paharpurailab/forgery-1", "kernel_id": "96849156"}, {"ref": "ssahil123s/ecg-waveform-and-images-v2", "kernel_id": "96097455"}, {"ref": "piyushgoswami1011/notebook11ae799c09", "kernel_id": "96332822"}, {"ref": "sriadityapratapagiri/fraud-detector", "kernel_id": "96660344"}, {"ref": "alexander99austin/notebooke20d0092dd", "kernel_id": "96870329"}, {"ref": "stpeteishii/multi-class-image-classifier-w-auto-grouping", "kernel_id": "97188998"}, {"ref": "jirkaborovec/forgery-detection-train-yolo-segmentation", "kernel_id": "97014987"}, {"ref": "manojkumars00/intra-image-similarity-prediction", "kernel_id": "97955692"}, {"ref": "frankmorales/rluc-sifd-eda-train-inference", "kernel_id": "97490535"}, {"ref": "frankmorales/sifd-rluc", "kernel_id": "97452961"}, {"ref": "frankmorales/rluc-sifd-dualstream-tversky-imbalance-solution", "kernel_id": "97969749"}, {"ref": "frankmorales/rluc-poc", "kernel_id": "97701359"}, {"ref": "varunguttikonda/forgery-detection-a-hydranet-approach", "kernel_id": "97175531"}, {"ref": "mouradouzziki/submission-scientific-image-forgery-detection", "kernel_id": "97887923"}, {"ref": "ravaghi/scientific-image-forgery-detection-u-net-1-2", "kernel_id": "97080763"}, {"ref": "ravaghi/scientific-image-forgery-detection-u-net-2-2", "kernel_id": "97080766"}, {"ref": "junaid512/luc-scientific-image-forgery-detection", "kernel_id": "97364970"}, {"ref": "junaid512/forgery-detection-eda", "kernel_id": "97241223"}, {"ref": "junaid512/grade-mask-r-cnn-pipeline", "kernel_id": "97816426"}, {"ref": "antonoof/yolo-simple-predict-cpu", "kernel_id": "97600757"}, {"ref": "easterndundrey/recod-ai", "kernel_id": "97042653"}, {"ref": "jihadomed/submission-csv", "kernel_id": "97506753"}, {"ref": "djamilabenchikh/dinov2-base-multi-task-forgery-detection", "kernel_id": "97333723"}, {"ref": "vinothkumarsekar89/recod-ai-sifd-a-toy-cnn-example", "kernel_id": "97088257"}, {"ref": "vinothkumarsekar89/dummy-submission-all-authentic", "kernel_id": "97384692"}, {"ref": "gauravparkhedkar/dinov2-base-0-332-high-res-4500px-robust-inf", "kernel_id": "97290287"}, {"ref": "isaacmenard/data-augmenter-forged", "kernel_id": "97132811"}, {"ref": "maheenriaz1122/image-forgery", "kernel_id": "97189670"}, {"ref": "maheenriaz1122/forgery-submission", "kernel_id": "97199169"}, {"ref": "maheenriaz1122/rluc-sifd-eda-train-inference", "kernel_id": "97612409"}, {"ref": "maheenriaz1122/luc-scientific-image-forgery-detection", "kernel_id": "97616459"}, {"ref": "maheenriaz1122/rle-metric-simple-submission", "kernel_id": "97496351"}, {"ref": "maheenriaz1122/forgery-detection-eda", "kernel_id": "97375942"}, {"ref": "maheenriaz1122/recod-ai-challenge", "kernel_id": "97359655"}, {"ref": "maheenriaz1122/sift-elite-v3-1-micro-tuned-part-2", "kernel_id": "97909738"}, {"ref": "maheenriaz1122/recod-ai-luc-scientific-image-forgery-detection", "kernel_id": "97948985"}, {"ref": "maheenriaz1122/dinov2-base-multi-task-forgery-detection-part-2", "kernel_id": "97934703"}, {"ref": "maheenriaz1122/rle-metric-simple-submission-911659", "kernel_id": "97759044"}, {"ref": "nagapradeep123/recod-ai", "kernel_id": "97913786"}, {"ref": "marcshade/mask-r-cnn-optimized-5k-synthetic-4-way-tta", "kernel_id": "97331871"}, {"ref": "jirkaborovec/forgery-detection-demo-submission", "kernel_id": "98275969"}, {"ref": "jirkaborovec/forgery-self-similarity-4-copy-move-detection", "kernel_id": "98122928"}, {"ref": "mushfirat/quick-eda-of-dataset-scientific-image-forgery", "kernel_id": "98765697"}, {"ref": "ladymj/pairing-authentic-forged-images", "kernel_id": "98309585"}, {"ref": "ladymj/r-cnn-ela-rgb-ela-4ch", "kernel_id": "98665181"}, {"ref": "jocelyndumlao/luc-image-forgery-detection-unet-maskr-cnn", "kernel_id": "98077424"}, {"ref": "sacuscreed/recod-random-submission-demo", "kernel_id": "98590700"}, {"ref": "frankmorales/rluc-sifd-eda-train-inference-tversky", "kernel_id": "98658133"}, {"ref": "frankmorales/recodai-final-new", "kernel_id": "98723481"}, {"ref": "frankmorales/sifd-u-net-tversky-ctf-final", "kernel_id": "98328986"}, {"ref": "ajaymoladiya/unet-binary-segmentation", "kernel_id": "98459855"}, {"ref": "abhisheknparmar/recod-ai", "kernel_id": "98313591"}, {"ref": "anthonytherrien/cnn-dinov2-hybrid-format", "kernel_id": "98678078"}, {"ref": "princeraiyanim/notebooke7e40e9b93", "kernel_id": "98558770"}, {"ref": "junaid512/dino-base-pipeline-hyper-parameters", "kernel_id": "98163312"}, {"ref": "mayank123nayak/try-forgery", "kernel_id": "98598697"}, {"ref": "zhenghuazhu/unetmobilev2-copy-move-forgery-tissue", "kernel_id": "98304525"}, {"ref": "djamilabenchikh/cnn-dinov2-hybrid", "kernel_id": "98233739"}, {"ref": "jayasimhav/luc-image-forgery-detection-unet-maskr-cnn", "kernel_id": "98473808"}, {"ref": "kospintr/luc-convnextbase-upsampling-baseline", "kernel_id": "98420462"}, {"ref": "howardatri/u-net-now-turn-to-fast", "kernel_id": "98732041"}, {"ref": "maheenriaz1122/hybird-upgrade-version", "kernel_id": "98238251"}, {"ref": "maheenriaz1122/train-scientific-image-forgery-detection", "kernel_id": "98272698"}, {"ref": "maheenriaz1122/simple-u-net-and-baseline-part-2", "kernel_id": "98078731"}, {"ref": "maheenriaz1122/ultra-fast-image-forgery-detection-u-net", "kernel_id": "98075684"}, {"ref": "maheenriaz1122/proadvance", "kernel_id": "98070733"}, {"ref": "maheenriaz1122/dinov2-base-multi-task-forgery-detection-upgrade", "kernel_id": "98071227"}, {"ref": "maheenriaz1122/scientific-image-forgery", "kernel_id": "98404615"}, {"ref": "maheenriaz1122/dino-base-pipeline-hyper-parameters", "kernel_id": "98372174"}, {"ref": "maheenriaz1122/mask-r-cnn-v13-1k-synthetic-4-way-tta", "kernel_id": "98397393"}, {"ref": "maheenriaz1122/rle-metric-submisson-score-0-304", "kernel_id": "98603443"}, {"ref": "maheenriaz1122/luc-image-forgery-detection-unet-maskr-cnn-part2", "kernel_id": "98534593"}, {"ref": "maheenriaz1122/cnn-dinov2-hybrid", "kernel_id": "98692473"}, {"ref": "maheenriaz1122/image-forgery-notebook-part-7", "kernel_id": "98694134"}, {"ref": "vemulapallisaiganesh/notebooka2819ead7a", "kernel_id": "98314360"}, {"ref": "gaddegowtham/recod-ai", "kernel_id": "98586053"}, {"ref": "marcshade/gpu-benchmark-training-speed-calculator", "kernel_id": "98364337"}, {"ref": "marcshade/mask-r-cnn-v14-1k-synthetic-tta-threshold-0-6", "kernel_id": "98378853"}, {"ref": "marcshade/mask-r-cnn-v13-1k-synthetic-4-way-tta", "kernel_id": "98371727"}, {"ref": "lgregory/fork-of-cnn-dinov2-hybrid-29381f", "kernel_id": "99411739"}, {"ref": "lgregory/cnn-dinov2-hybrid-from-djamila-b", "kernel_id": "99370203"}, {"ref": "maheenriaz1122/cnn-dinov2-hybrid-c0bb37", "kernel_id": "99209832"}, {"ref": "maheenriaz1122/cnn-dinov2-hybrid-part-8", "kernel_id": "99200772"}, {"ref": "shouxier/eda-r-cnn-model", "kernel_id": "99383834"}, {"ref": "yogeshbawankar/forgery-detection-dependency-downloader", "kernel_id": "100429518"}, {"ref": "yogeshbawankar/image-forgery-prediction", "kernel_id": "100132649"}, {"ref": "seddiktrk/image-forgery-detection-cnn-dinov2-sam", "kernel_id": "100330939"}, {"ref": "ravaghi/scientific-image-forgery-detection-dinov2", "kernel_id": "100928419"}, {"ref": "maheenriaz1122/cnn-dinov2-hybrid-4f2220", "kernel_id": "100595641"}, {"ref": "maheenriaz1122/cnn-dinov2-hybrid-from-maheen-riaz", "kernel_id": "100134928"}, {"ref": "phirikg/recod-ai-luc-scientific-image-forgery-demo", "kernel_id": "100813646"}, {"ref": "nocarbonintelligence/recod-ai-staged-training-2", "kernel_id": "100531840"}, {"ref": "nocarbonintelligence/recod-ai-luc-eda", "kernel_id": "100177028"}, {"ref": "nocarbonintelligence/recod-ai-staged-training-1", "kernel_id": "100278848"}, {"ref": "abdulvahidtv/notebook3c879eb474", "kernel_id": "100266178"}, {"ref": "nicholaspellegrin/recodai-forgery-detection", "kernel_id": "101540045"}, {"ref": "yogeshbawankar/let-s-try-with-dino-v2", "kernel_id": "101712114"}, {"ref": "yogeshbawankar/image-forgery-prediction-with-dual-stream-vit", "kernel_id": "101681260"}, {"ref": "maheenriaz1122/cnn-dinov2-hybrid-29381f", "kernel_id": "101142219"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "jensvannahl/test-metric-recod-ai", "kernel_id": "102471274"}, {"ref": "jirkaborovec/forgery-use-sam2-for-candidate-generation-gpu", "kernel_id": "102439004"}, {"ref": "arvindkhoda/try-1", "kernel_id": "102853560"}, {"ref": "arvindkhoda/final-project", "kernel_id": "102753945"}, {"ref": "miadul/multi-class-image-classification-with-efficientnet", "kernel_id": "102410509"}, {"ref": "anatoliisavchenko/notebook5730689be9", "kernel_id": "102469866"}, {"ref": "nicdeluc/srm-ela-noise-residuals-for-forgery-detection", "kernel_id": "102675173"}, {"ref": "maheenriaz1122/forgery-eda-visual-annot-sam2-instances", "kernel_id": "102532454"}, {"ref": "dimpalyadav29/scientific-image-forgery-detection", "kernel_id": "102805697"}, {"ref": "mohamedyousuff/notebook-113", "kernel_id": "102225881"}, {"ref": "tvmilitary/recod-ai-forgery-detection-starter-6-cell", "kernel_id": "102740784"}, {"ref": "tany1404/recod-ai-luc-eda", "kernel_id": "103088215"}, {"ref": "tany1404/recod-ai-luc-base-model-phase-1-v0", "kernel_id": "103297181"}, {"ref": "tany1404/recod-ai-luc-base-model-phase-2-v0", "kernel_id": "103591515"}, {"ref": "eliplutchok/submission-a", "kernel_id": "103704902"}, {"ref": "battuvamshikrishna/forgery-detection-final", "kernel_id": "103020958"}, {"ref": "tarrroo/scientific-image-forgery-detection", "kernel_id": "103692396"}, {"ref": "errajanikantawasthi/rkwasthi-work-rev", "kernel_id": "103962321"}, {"ref": "manish756/resnet34-baseline-score-0-303", "kernel_id": "103724387"}, {"ref": "xishan000/notebook3ff42313cc", "kernel_id": "103273097"}, {"ref": "maheenriaz1122/bioforgery-404", "kernel_id": "103583096"}, {"ref": "maheenriaz1122/notebook1aa18ea650", "kernel_id": "103147303"}, {"ref": "mrmuhammadyasinkhan/scientific-image-forgery-detection", "kernel_id": "103399309"}, {"ref": "mcamg44/forgery-dinov2-inference", "kernel_id": "103981117"}, {"ref": "gunesevitan/recod-ai-luc-sifd-submission", "kernel_id": "104897066"}, {"ref": "dedquoc/recod-ai-luc-sifd-optima-v-v2", "kernel_id": "104943043"}, {"ref": "eliplutchok/sub-1", "kernel_id": "104416632"}, {"ref": "abhishekgandhi0706/recodai-luc-scientific-image-forgery-notebook", "kernel_id": "104897874"}, {"ref": "likithagedipudi/scientific-image-forgery-detection", "kernel_id": "104935133"}, {"ref": "patelvandan115/scientific-image-forgery-detection-vandan2", "kernel_id": "104891168"}, {"ref": "shivampawar17/unet-efficientnet-demo-01", "kernel_id": "104546468"}, {"ref": "shivampawar17/unet-efficientnet-b4-imagenet-smp-demo", "kernel_id": "104667901"}, {"ref": "anechytailenko/group-project-dp", "kernel_id": "104566571"}, {"ref": "williamlu931/notebookb0bff82be4", "kernel_id": "104321327"}, {"ref": "animeshshukla20/normalized-resnet-training", "kernel_id": "104738272"}, {"ref": "animeshshukla20/deeplabv3-resnet50-on-scientific-forgery", "kernel_id": "104772391"}, {"ref": "martinsertin/forgery-unet-baseline-v1", "kernel_id": "104639630"}, {"ref": "mcamg44/forgery-dinov2-trial14", "kernel_id": "104006851"}, {"ref": "hossam82/0-324-score", "kernel_id": "105975910"}, {"ref": "jirkaborovec/forgery-sam2-object-similarity-validation", "kernel_id": "105628489"}, {"ref": "lauvfpitipak/recod-ai-luc-image-forgery-detection-v-2", "kernel_id": "105769923"}, {"ref": "lauvfpitipak/recod-ai-luc-image-forgery-detection-v-1", "kernel_id": "105760951"}, {"ref": "babydriver1233/forgery-detection-in-biomedical-research-images", "kernel_id": "105083246"}, {"ref": "babydriver1233/scientific-image-forgery-detection-with-dinov3", "kernel_id": "105047393"}, {"ref": "babydriver1233/scientific-image-forgery-detection", "kernel_id": "105050580"}, {"ref": "patelvandan115/2-1-26-99-99", "kernel_id": "105985439"}, {"ref": "patelvandan115/1-1-2026-scientific-image-forgery-detection", "kernel_id": "105980908"}, {"ref": "patelvandan115/25-12-2025-forgery-detection-demo1", "kernel_id": "105477422"}, {"ref": "abhishekgodara/image-detection-cnn-score-0-324", "kernel_id": "105937097"}, {"ref": "antonoof/top14-0-32-score-percentage-masks", "kernel_id": "105603669"}, {"ref": "pankajiitr/cnn-dinov2-progressivebilineardecoder", "kernel_id": "105821220"}, {"ref": "ashlesh05/image-forgery-detect", "kernel_id": "105288616"}, {"ref": "aitbekovalibek/dinov2-unet-ensemble", "kernel_id": "105983937"}, {"ref": "alperenaslann/rle-metric-simple-submission", "kernel_id": "105476557"}, {"ref": "rodrigueumba/forgery-competition", "kernel_id": "105848058"}, {"ref": "trnhquangminh140/model-scientific-image-forgery-detection-minh", "kernel_id": "105590683"}, {"ref": "trnhquangminh140/scientific-image-forgery-detection-minh", "kernel_id": "105589372"}, {"ref": "animeshshukla20/deeplab-submission-3", "kernel_id": "105128666"}, {"ref": "animeshshukla20/deeplab-submission-2", "kernel_id": "105127574"}, {"ref": "zorornoa/forgerydetection", "kernel_id": "105070775"}, {"ref": "hmnshudhmn24/recod-ai-luc-scientific-image-forgery-detection", "kernel_id": "105189478"}, {"ref": "meetpatel306/recod-ai-luc-scientific-image-forgery-detection", "kernel_id": "105770218"}, {"ref": "prathis32/forgery-detection", "kernel_id": "105780475"}, {"ref": "bbobwayne/recod-v6b-cv-baseline", "kernel_id": "105933330"}, {"ref": "bbobwayne/recod-ai-luc-wayneia-inference-v3", "kernel_id": "105338850"}, {"ref": "bbobwayne/recod-ai-luc-wayneia-inference-v2", "kernel_id": "105338265"}, {"ref": "bbobwayne/recod-luc-wayneia-inference-v6-rle", "kernel_id": "105346293"}, {"ref": "bbobwayne/recod-ai-luc-wayneia-inference-v5", "kernel_id": "105341161"}, {"ref": "bbobwayne/recod-ai-luc-wayneia-inference-v4", "kernel_id": "105340938"}, {"ref": "bbobwayne/recod-luc-wayneia-v72", "kernel_id": "105739393"}, {"ref": "bbobwayne/recod-luc-wayneia-inference-v7-dinov2", "kernel_id": "105725714"}, {"ref": "bbobwayne/recod-luc-wayneia-v71", "kernel_id": "105735799"}, {"ref": "wowfattie/recodfinal", "kernel_id": "106239334"}, {"ref": "returnofsputnik/0-363-2xt4-v1-intra-grayscale", "kernel_id": "106997420"}, {"ref": "tobimichigan/scientific-image-forgery-detection-pipeline", "kernel_id": "106160117"}, {"ref": "hossam82/scientific-forgery-inference-best-model", "kernel_id": "106060642"}, {"ref": "hossam82/scientific-image-detection-cnn-0-325", "kernel_id": "106244298"}, {"ref": "rockerritesh/dino-v2-large", "kernel_id": "106185482"}, {"ref": "jirkaborovec/forgery-sam2-detect-object-similarity", "kernel_id": "106526030"}, {"ref": "shtanvir/dinov2-score", "kernel_id": "106124825"}, {"ref": "hyzentech/scientific-image-forgery-detection", "kernel_id": "106346328"}, {"ref": "pankajiitr/scientific-forensics-dinov2-cnn-ipynb", "kernel_id": "106213437"}, {"ref": "stevewatson999/sifd-enhanced-training", "kernel_id": "106042594"}, {"ref": "javierrodrguez97/scientific-image-detection-cnn-0-325", "kernel_id": "106369817"}, {"ref": "javierrodrguez97/scientific-image-forgery-detection-dinov2", "kernel_id": "106366894"}, {"ref": "avikdas567/scientific-image-forgery-detection", "kernel_id": "106719203"}, {"ref": "mitudru/recod-ai", "kernel_id": "106046576"}, {"ref": "anujjakhar2104/image-detection-cnn", "kernel_id": "106171103"}, {"ref": "harshita2024/biomedical-copy-move-forensics-dense-dinov2-match", "kernel_id": "106066830"}, {"ref": "opencv411/try-ensemble", "kernel_id": "106063179"}, {"ref": "adrymm/cnn-dinov2-tta-uncertainty", "kernel_id": "106042176"}, {"ref": "bbobwayne/recod-luc-wayneia-inference-v9-offline", "kernel_id": "106328585"}, {"ref": "bbobwayne/recod-luc-wayneia-inference-v8-seed2026", "kernel_id": "106324936"}, {"ref": "abdulwahab2321/image-detection-cnn-score-0-323", "kernel_id": "106126472"}, {"ref": "abdulwahab2321/image-detection-cnn-score-0-323-8db028", "kernel_id": "106127707"}, {"ref": "abdulwahab2321/scientific-image-forgery-detection-multi-scale-di", "kernel_id": "106070292"}, {"ref": "abdulwahab2321/cnn-dinov2-progressivebilinear-5", "kernel_id": "106010999"}, {"ref": "aiswarjya/master-sid-ais-0-332", "kernel_id": "106993598"}, {"ref": "lyzzzi/try-ensemble-646c82", "kernel_id": "106300497"}, {"ref": "ohadosi/dosirecordaif1", "kernel_id": "106281363"}, {"ref": "huyx2026/scientific-forensics-unet-dinov2-hybrid-ipynb", "kernel_id": "106861901"}, {"ref": "returnofsputnik/area-ratio-1-5", "kernel_id": "107075448"}, {"ref": "paulik/recod-ai-sifd-no-dino-superpoint-lightglue", "kernel_id": "107044398"}, {"ref": "pawanmali/scientific-image-forgery-detection-summary", "kernel_id": "107098741"}, {"ref": "ayodejiibrahimlateef/scientific-image-forgery-detection-offline", "kernel_id": "107235106"}, {"ref": "mr0106/final-production-version", "kernel_id": "114427954"}, {"ref": "npinpi/2nd-place-solution", "kernel_id": "116786935"}, {"ref": "subhadiphensh/chandra-ocr-2", "kernel_id": "117234839"}, {"ref": "orshanec/1st-place-solution", "kernel_id": "117282565"}, {"ref": "alima1k/dinov2-unet-ensemble", "kernel_id": "135125131"}]}
{"competition_id": "113633", "kernels": [{"ref": "ozanbozyel/data-overview", "kernel_id": "91005684"}]}
{"competition_id": "113634", "kernels": []}
{"competition_id": "113636", "kernels": [{"ref": "ttrnghong/deberta", "kernel_id": "105182186"}, {"ref": "truongdat4405/check-token", "kernel_id": "105160885"}, {"ref": "truongdat4405/codeebert", "kernel_id": "105101207"}, {"ref": "ttrngda/codeberta-freeze", "kernel_id": "105159300"}, {"ref": "siminalazr/unixcodertrain2026", "kernel_id": "106026444"}, {"ref": "siminalazr/refining", "kernel_id": "106851333"}, {"ref": "dumbgreywulf/ood-generalization-for-ai-detection", "kernel_id": "109617660"}, {"ref": "transang2000/semeval-data-analysis", "kernel_id": "110861772"}, {"ref": "thithngnguyn/notebook5678e81ea7", "kernel_id": "110608171"}, {"ref": "kunzero106/fitus-nhom13-semeval-2026-task13-subtask-a", "kernel_id": "110601640"}, {"ref": "quangnda/fitus-quanglinhthao-codebert", "kernel_id": "110806665"}, {"ref": "quangnda/fitus-quanglinhthao-svm", "kernel_id": "110380612"}, {"ref": "trietnpm/fitus-khmt-gtd", "kernel_id": "110705013"}, {"ref": "vinhphanhcmus/task13test", "kernel_id": "110143716"}, {"ref": "quachthanhhmd/fitus-nhom13-semeval-2026-task13-subtask-a", "kernel_id": "111743520"}, {"ref": "transang2000/sem-deberta-base", "kernel_id": "111078287"}, {"ref": "nien0203/assignment-1-advanced-ml", "kernel_id": "111335459"}, {"ref": "nientrandai/ml-assignment-1", "kernel_id": "111449490"}, {"ref": "nientrandai/assignment-1-advanced-ml", "kernel_id": "111174217"}, {"ref": "nientrandai/codeebert", "kernel_id": "111881553"}, {"ref": "tnnguynbmt/ensemble-code-classification", "kernel_id": "112578715"}, {"ref": "nientran/ml-assignment-1-v2", "kernel_id": "112347749"}, {"ref": "thanhhaise24/ml-semeval-2026-exam", "kernel_id": "113927795"}, {"ref": "danghiennguyen/notebook8c228b2e2c", "kernel_id": "113089438"}, {"ref": "davidvotran22/trial-1-simple-lightgbm", "kernel_id": "114293634"}, {"ref": "trungquanghuynh/fitus-aml-practice-1", "kernel_id": "114564613"}, {"ref": "trngvhong/hcmus-spring-2026-advanced-ml-project-1", "kernel_id": "114928263"}, {"ref": "dangtien/fine-tuning-codebert-unixcoder", "kernel_id": "114537679"}, {"ref": "hieutrinh123/fitus-ml-hieu-thanh-hoan", "kernel_id": "114947866"}, {"ref": "khnhnguyninhquang/semeval2026-final", "kernel_id": "114559421"}, {"ref": "minhakira/fitus-a-part-of-group-11", "kernel_id": "114762247"}, {"ref": "thithngnguyn/pipeline-v6", "kernel_id": "114198406"}, {"ref": "letheviet/advanceml-assignment1-vietthele", "kernel_id": "114941829"}, {"ref": "latorange/fitus-tcd-minh-tam-ngoc-canh-thanh-dat", "kernel_id": "114597862"}, {"ref": "doandangphuongnam/if-cnb-style-only", "kernel_id": "114291528"}, {"ref": "trnhminh/fitus-23127090-23127120", "kernel_id": "114100962"}, {"ref": "ntthinhprovjp/samevalcompetition", "kernel_id": "114949050"}, {"ref": "nguyenbon/ai-gen-code", "kernel_id": "114200542"}, {"ref": "minhkhoathi/semeval-2026-2", "kernel_id": "114844368"}, {"ref": "sankar008/modernbert-train-test", "kernel_id": "114432909"}, {"ref": "nguyenhongduc2411/semeval-2026-task13a-experiment-final", "kernel_id": "114333822"}, {"ref": "thanhhaise24/semeval2026-rf", "kernel_id": "115000053"}, {"ref": "thaiphuc/sem-eval-26", "kernel_id": "115777658"}, {"ref": "kittrntunk/notebook66b4d25c68", "kernel_id": "115005296"}, {"ref": "kittrntunk/fitus-a-part-of-group-11", "kernel_id": "115005269"}, {"ref": "nguyentranthienan/fine-tuning-codebert", "kernel_id": "116320288"}, {"ref": "hongduyhng/tree-stacking-3-model", "kernel_id": "116226596"}, {"ref": "hongduyhng/graph-code-bert", "kernel_id": "116846441"}, {"ref": "anyuuus/lab-nmnnhtk", "kernel_id": "116712631"}, {"ref": "minhkhoathi/fine-tune-graphcodebert-xgboost-final", "kernel_id": "116868202"}, {"ref": "volekaikai/semeval", "kernel_id": "116407473"}, {"ref": "ltphongzz/fitus-group11", "kernel_id": "116191623"}, {"ref": "anshuman34/signal-isolation-rank-ensemble", "kernel_id": "116799481"}, {"ref": "nesfan/graphcodebert-detection-fusion", "kernel_id": "116993422"}, {"ref": "lctrnhu/lab03-lab", "kernel_id": "116990664"}, {"ref": "aimy144/notebookb6bdf4e562", "kernel_id": "116492268"}, {"ref": "ltanh64/eda-semeval", "kernel_id": "116766794"}, {"ref": "mipquyp/challengenlp", "kernel_id": "116791304"}, {"ref": "tthphong/fitus-nevergiveup", "kernel_id": "116581793"}, {"ref": "tthphong/fitus-nevergiveup-general-purpose-bert-train", "kernel_id": "116716215"}, {"ref": "tthphong/fitus-nevergiveup-general-bert-submission", "kernel_id": "116869215"}, {"ref": "thtynn/fitus-camsp", "kernel_id": "116559392"}, {"ref": "ethanyee2706/fitus-ethan-and-akuseru-transformers", "kernel_id": "117090419"}, {"ref": "hoangphann/semeval-2026-task13-subtask-a-lhl", "kernel_id": "117525095"}, {"ref": "minhkhoathi/fine-tune-graphcodebert-linearsvm", "kernel_id": "117009496"}, {"ref": "minhkhoathi/fine-tune-graphcodebert-catboost", "kernel_id": "117051506"}, {"ref": "minhkhoathi/fine-tune-graphcodebert-lightgbm", "kernel_id": "117046842"}, {"ref": "minhkhoathi/fine-tune-graphcodebert-logisticregression", "kernel_id": "117049096"}, {"ref": "minhkhoathi/fine-tune-graphcodebert-classification-head", "kernel_id": "117100825"}, {"ref": "deussol/semeval", "kernel_id": "117014936"}, {"ref": "thinlmt/semeval", "kernel_id": "117153240"}, {"ref": "thinlmt/semeval-2026-task13-subtask-a-lhl", "kernel_id": "117281334"}, {"ref": "aimy144/testsem", "kernel_id": "117012320"}, {"ref": "kittrntunk/cpusem", "kernel_id": "117118706"}, {"ref": "kittrntunk/gpu-sem", "kernel_id": "117113772"}, {"ref": "kittrntunk/semeval2026-final", "kernel_id": "117158524"}, {"ref": "anyuuus/fitus-bachangdamau", "kernel_id": "118554749"}, {"ref": "nhtlnguyn1106/fitus-group-08", "kernel_id": "118466574"}, {"ref": "baohg153/fitus-baotrikhoi", "kernel_id": "118598066"}, {"ref": "qadeptrai123/fitus-baesuzy", "kernel_id": "118717996"}, {"ref": "ethanyee2706/fitus-etaku", "kernel_id": "118112794"}, {"ref": "minhkhoathi/fitus-double-k", "kernel_id": "118336587"}, {"ref": "tokiggle/semeval-2026-13-a-fitus-tokiggle", "kernel_id": "118605921"}, {"ref": "qunnguynhongnhquan/fitus-simple-h-quan-nguyen-h-phuc-thai-c-vy-le", "kernel_id": "118507857"}, {"ref": "qunnguynngcminh/fitus-smartcat", "kernel_id": "118559150"}, {"ref": "nesfan/fitus-duality", "kernel_id": "118754951"}, {"ref": "hngkininh/dual-if-xgboost-semeval", "kernel_id": "118721752"}, {"ref": "hngkininh/moe-dual-if-xgboost", "kernel_id": "118730179"}, {"ref": "hongngctng/fitus-triplet", "kernel_id": "118747989"}, {"ref": "aimy144/testcpu", "kernel_id": "118466071"}, {"ref": "kittrntunk/testgpu", "kernel_id": "118116719"}, {"ref": "kittrntunk/fitus-kml", "kernel_id": "118116430"}, {"ref": "kittrntunk/pretrain", "kernel_id": "118750619"}, {"ref": "nqbbbao/baseline-ablation", "kernel_id": "118414801"}, {"ref": "tanminhbui2005/notebook0ec39d9f2e", "kernel_id": "120904283"}, {"ref": "nmdai679/notebook1", "kernel_id": "121017736"}]}
{"competition_id": "113638", "kernels": []}
{"competition_id": "113664", "kernels": [{"ref": "wguesdon/llm-generated-application-prototypes", "kernel_id": "91502609"}, {"ref": "sanjai3/ministory-ai-director-platform", "kernel_id": "91525669"}, {"ref": "jeetkumarpal/marketing-meme-machine-mmm-gemini-nano-banana", "kernel_id": "91528732"}, {"ref": "taylorsamarel/getting-started-demo-notebook", "kernel_id": "91351784"}, {"ref": "anhoangvo/nanocanvas-technical-notes", "kernel_id": "91543944"}, {"ref": "dnkumars/ecomatrix", "kernel_id": "91399473"}, {"ref": "sumukhmg35/manga-comic-generator-gemini-nano-banana", "kernel_id": "91496843"}, {"ref": "abdulrahmanmohammed3/story-to-image-generator-gemini-ai-nano-banana", "kernel_id": "91449204"}, {"ref": "sanidhyavijay24/interiorai-studio", "kernel_id": "91505499"}, {"ref": "farhanahmedudho/ai-ad-creative-generator-consistency-checker", "kernel_id": "91441176"}, {"ref": "shivanginisarmah/travel-pose-be-at-any-world-monuments", "kernel_id": "91524589"}, {"ref": "tuesdaycinemaclub/trailer-craft-ai-project-outline", "kernel_id": "91510833"}]}
{"competition_id": "113680", "kernels": []}
{"competition_id": "113701", "kernels": []}
{"competition_id": "113790", "kernels": [{"ref": "lunalizhang/notebook3b209bfe1f", "kernel_id": "90826840"}, {"ref": "lunalizhang/v3-starter", "kernel_id": "90829772"}, {"ref": "muhammaddanyalmalik/global-precipitation-data", "kernel_id": "91277399"}]}
{"competition_id": "113806", "kernels": [{"ref": "juumabarathi/blasphemous-analysts", "kernel_id": "90850097"}]}
{"competition_id": "113835", "kernels": [{"ref": "tobimichigan/engineering-lessons-from-the-cure-bench-pipeline", "kernel_id": "93495644"}, {"ref": "asadalikhan92/analysis-of-curebench", "kernel_id": "93397031"}, {"ref": "ishitabahamnia/cure-bench-internal-reasoning-notebooke66fc9f8d5", "kernel_id": "94937199"}, {"ref": "priyamsaha17/cure-bench-visualization-finding-word-length", "kernel_id": "95496616"}]}
{"competition_id": "113867", "kernels": []}
{"competition_id": "113869", "kernels": []}
{"competition_id": "113871", "kernels": []}
{"competition_id": "113875", "kernels": []}
{"competition_id": "113876", "kernels": []}
{"competition_id": "113880", "kernels": [{"ref": "mitchell11/cayleypy-megaminx-first-steps", "kernel_id": "91767638"}, {"ref": "mitchell11/cayleypy-5x5x5-cube-first-steps", "kernel_id": "93932736"}, {"ref": "ivankolt/beam-search-levenstein-benchmark", "kernel_id": "98788460"}, {"ref": "alexandervc/cayleypy-megaminx-meetinthemiddle-bfs-solver", "kernel_id": "111516192"}, {"ref": "alexandervc/cayleypy-megaminx-beamsearch-hamming", "kernel_id": "111520517"}, {"ref": "alexandervc/cayleypy-megaminx-bfs-solver", "kernel_id": "111511872"}, {"ref": "bbasharov/cayleypy-megaminx-meetinthemiddle-bfs-solver", "kernel_id": "115647000"}, {"ref": "artgor/megaminx-95-682-deepcubea-style-writeup", "kernel_id": "116954023"}, {"ref": "alexandervc/group-order-sympy-for-megaminx", "kernel_id": "116892272"}, {"ref": "alexandervc/cayleypy-rw-model-megaminx", "kernel_id": "116952473"}, {"ref": "olegpapulov/cayleypy-megaminx-rw-regression", "kernel_id": "116225985"}, {"ref": "kodurd/cayleypy-megaminx-beamsearch-hamming", "kernel_id": "116264022"}, {"ref": "romantamrazov/cayleypy-solution-lb-416531", "kernel_id": "116740241"}, {"ref": "alexandervc/cayleypy-megaminx-beam-shareable", "kernel_id": "117713369"}, {"ref": "sergxy/megaminx-baseline", "kernel_id": "117588039"}, {"ref": "alexandervc/cayleypy-megaminx-beam-m-fr-v2", "kernel_id": "118472797"}, {"ref": "alexandervc/cayleypy-megaminx-beam-m-curr-v3", "kernel_id": "118471943"}, {"ref": "alexandervc/cayleypy-beamsearch-simplest", "kernel_id": "118664370"}, {"ref": "trydotatwo/cayleybeam-fullbeamnice-2t4-test", "kernel_id": "118186903"}, {"ref": "artgor/cayleypy-megaminx-32m-720-shareable", "kernel_id": "119685498"}, {"ref": "artgor/cayleypy-megaminx-48m-720-shareable", "kernel_id": "119690902"}, {"ref": "artgor/megaminx-models-quick-tour", "kernel_id": "119621676"}, {"ref": "artgor/megaminx-baseline-with-az-v4", "kernel_id": "119621707"}, {"ref": "artgor/cayleypy-megaminx-32m-shareable", "kernel_id": "119631359"}, {"ref": "artgor/cayleypy-megaminx-48m-shareable", "kernel_id": "119635476"}, {"ref": "artgor/cayleypy-megaminx-beam-az-v4-shareable", "kernel_id": "119018791"}, {"ref": "alexandervc/sorting-speedtest", "kernel_id": "119390332"}, {"ref": "alexandervc/speedtest-gpu1to2-transfer", "kernel_id": "119394433"}, {"ref": "alexandervc/speedtest-inference", "kernel_id": "119396297"}, {"ref": "arseniylenin/cayleypy-megaminx-48m-720-shareable", "kernel_id": "119919046"}, {"ref": "trydotatwo/cayleybeam-user-friendly-cpu-history", "kernel_id": "119262286"}, {"ref": "ogurtsov/megaminx-find-best-ensemble", "kernel_id": "120225398"}, {"ref": "alexandervc/cayleypy-megaminx-model1-2556-218-16-4000e", "kernel_id": "120747018"}, {"ref": "alexandervc/cayleypy-rw-modelbaselines-megaminx", "kernel_id": "120853165"}, {"ref": "borisbilich/cayleypy-megaminx-48m-720-shareable", "kernel_id": "120045037"}, {"ref": "fedorlevkovich/cayleypy-megaminx-small-beam-v1", "kernel_id": "121098816"}, {"ref": "arinaitkes/cayleypy-rw-modelbaselines-megaminx", "kernel_id": "122175725"}, {"ref": "ogurtsov/cayleypy-rw-modelbaselines-megaminx-adamw", "kernel_id": "124744305"}, {"ref": "artgor/cayleypy-az4-trainer-megaminx", "kernel_id": "125968570"}, {"ref": "vladkuznetsov266/transformer-inference-example", "kernel_id": "125072423"}, {"ref": "dariyamamayeva/cayleypy-rw-modelbaselines-megaminx-adamw-e555e6", "kernel_id": "126044278"}, {"ref": "alexandervc/cayleypy-rw-models2-tetraminx", "kernel_id": "127858096"}, {"ref": "kodurd/cayleypy-megaminx-q-transformer-training-chained", "kernel_id": "127994401"}, {"ref": "rokham/cayleypy-prs", "kernel_id": "129817852"}, {"ref": "trydotatwo/cayleypy-2xt4-megaminx-recommended", "kernel_id": "129496175"}, {"ref": "trydotatwo/cayleypy-2xt4-megaminx-depthsafe", "kernel_id": "129508295"}, {"ref": "trydotatwo/cayleypy-2xt4-megaminx-puzzle-10-example", "kernel_id": "129194772"}, {"ref": "trydotatwo/cayleypy-2xt4-megaminx-example", "kernel_id": "129291971"}, {"ref": "zahartedeev/cayleypy-tetraminx-baseline-resmlp-pinballloss-rw", "kernel_id": "130857780"}, {"ref": "valiantsinshcherbich/cayleypy-rw-modelbaselines-megaminx", "kernel_id": "131022008"}]}
{"competition_id": "113886", "kernels": [{"ref": "alexandervc/cayleypy-professor-tetraminx-introduction", "kernel_id": "90872956"}, {"ref": "pearcatcher/cayleypy-professor-tetraminx-first-steps", "kernel_id": "91002827"}, {"ref": "pearcatcher/cayleypy-professor-tetraminx-rw-regression", "kernel_id": "91033419"}, {"ref": "kodurd/professor-tetraminx-word-model", "kernel_id": "91102543"}, {"ref": "elizavetatrusova/cayleypy-professor-tetraminx-rw-regression", "kernel_id": "92885971"}, {"ref": "uwugermi/cayleypy-professor-tetraminx-rw-regression", "kernel_id": "92721362"}, {"ref": "pearcatcher/cayleypy-transposons-first-steps", "kernel_id": "92839423"}, {"ref": "cr3cker123/cayleypy-professor-tetraminx-rw-regression", "kernel_id": "92443915"}, {"ref": "mehrankazeminia/1-tetraminx-replacing-moves", "kernel_id": "93801930"}, {"ref": "mathandmad/cayley-cube-baseline-solution", "kernel_id": "94615827"}, {"ref": "ka1242/load-tetramix-solution", "kernel_id": "96240100"}, {"ref": "ka1242/cayleypy-cube-train-and-solve-prof", "kernel_id": "96086300"}, {"ref": "ka1242/tetramix-solution", "kernel_id": "96908479"}, {"ref": "mehrankazeminia/2-tetraminx-optimizing-others-results", "kernel_id": "96291683"}, {"ref": "egorpeters/beam-search-with-cayleypy-via-beamsearch-mlp", "kernel_id": "96717778"}, {"ref": "anastasiiaboikova/444-cube-cayleypy-cube-train-and-solve", "kernel_id": "97819155"}, {"ref": "rokham/cayleypy-cube-train-and-solve", "kernel_id": "98035993"}, {"ref": "stanislavkrymskii/group-order-sympy-for-christofer-jewel", "kernel_id": "98733692"}, {"ref": "stanislavkrymskii/group-order-sympy-for-professor-tetraminx", "kernel_id": "98612956"}, {"ref": "alexandervc/cayleypy-professor-tetraminx-solutions-statistics", "kernel_id": "100740091"}, {"ref": "alexandervc/cayleypy-automerge-professor-tetraminx", "kernel_id": "100539041"}, {"ref": "stanislavkrymskii/cayleypy-cubic-solutions-statistics", "kernel_id": "100750833"}, {"ref": "stanislavkrymskii/beam-search-with-cayleypy-2", "kernel_id": "102152205"}, {"ref": "nocarbonintelligence/tetraminx-reductdomainbfsml", "kernel_id": "102537445"}, {"ref": "alexandervc/cayleypy-rw-model-tetraminx-professor", "kernel_id": "117583245"}, {"ref": "alexandervc/cayleypy-rw-models2draft-tetraminx", "kernel_id": "127704428"}, {"ref": "alexandervc/cayleypy-rw-models2-tetraminx", "kernel_id": "127858096"}, {"ref": "nandannilekani/cayleypy-rw-models2-tetraminx-49e57f", "kernel_id": "127916435"}, {"ref": "anyteilorjoi/cayleypy-rw-models2-tetraminx-49e57f", "kernel_id": "127917847"}, {"ref": "alexandervc/cayleypy-rw-models2b-tetraminx", "kernel_id": "128455498"}, {"ref": "ivankolt/cayleypy-rw-models2-tetraminx-tests", "kernel_id": "128809632"}, {"ref": "dariyamamayeva/cayleypy-rw-models2-tetraminx", "kernel_id": "128379165"}, {"ref": "dariyamamayeva/cayleypy-rw-models2-tetraminx-c643e1", "kernel_id": "128380061"}, {"ref": "artgor/cayleypy-tetraminx-tpu-beam-q", "kernel_id": "129580632"}, {"ref": "alexandervc/cayleypycube-tetraminx", "kernel_id": "129390298"}, {"ref": "ivankolt/cayleypy-rw-models2-tetraminx-cpu", "kernel_id": "129158088"}, {"ref": "trydotatwo/cayleypy-2xt4-tetraminx-recommended", "kernel_id": "129496487"}, {"ref": "trydotatwo/cayleypy-2xt4-tetraminx-depthsafe", "kernel_id": "129508134"}, {"ref": "trydotatwo/cayleypy-2xt4-tetraminx-example", "kernel_id": "129361037"}, {"ref": "ivheisser/cayley-cube-baseline-solution", "kernel_id": "129986586"}, {"ref": "alexandervc/cayleypy-tetraminx-tpu-beam-q3", "kernel_id": "130298148"}, {"ref": "alexandervc/cayleypy-tetraminx-tpu-beam-q2", "kernel_id": "130298648"}, {"ref": "tttzof351/notebook755f416513", "kernel_id": "131080754"}, {"ref": "alexandervc/cayleypy-tetraminx-tpu-beam-q4-30len", "kernel_id": "131248426"}, {"ref": "alexandervc/cayleypy-tetraminx-tpu-beam-q5-29len", "kernel_id": "131407182"}, {"ref": "alexandervc/cayleypy-2xt4-tetraminx-transformer-v2-30len", "kernel_id": "131382627"}, {"ref": "alexandervc/cayleypy-2xt4-tetraminx-transformer-beamfromv15", "kernel_id": "131364461"}, {"ref": "peterkrumhardt/cpp-two-model-no-torch-pid69-b100k-opt10", "kernel_id": "131629619"}, {"ref": "peterkrumhardt/cpp-multi-pid-sym01-b2p25-example50m", "kernel_id": "131656676"}, {"ref": "alexandervc/cayleypy-tetraminx-tpu-old-beam2p27len29", "kernel_id": "132093692"}, {"ref": "alexandervc/cayleypy-tetraminx-tpu-v2beam2p27len29", "kernel_id": "132179453"}, {"ref": "chandrurahejari/cayley-all-public-versions-collector-min-me-927423", "kernel_id": "132493512"}]}
{"competition_id": "113887", "kernels": [{"ref": "lilypilly/group-order-sympy-for-ihescube", "kernel_id": "89047563"}, {"ref": "ka1242/cayleypy-cube-train-and-solve-ihes", "kernel_id": "96784840"}, {"ref": "lilypilly/cayleypy-cube-train-and-solve-smallmodel", "kernel_id": "96827651"}, {"ref": "stanislavkrymskii/notebook5d59e181d8", "kernel_id": "97651938"}, {"ref": "alexandervc/beam2p16-cayleypy-submits-ihescube960-43", "kernel_id": "98954499"}, {"ref": "alexandervc/cayleypy-submits-ihescube960-43-2-22", "kernel_id": "98348772"}, {"ref": "stanislavkrymskii/group-order-sympy-for-professor-tetraminx", "kernel_id": "98612956"}, {"ref": "stanislavkrymskii/cayleypy-automerge", "kernel_id": "98807039"}, {"ref": "alexandervc/beam2p22-cayleypy-cube-first-variant", "kernel_id": "99008811"}, {"ref": "alexandervc/cayleypy-automerge", "kernel_id": "99974668"}, {"ref": "lilypilly/cayleypy-cube-train-and-solve-kontsevich-state", "kernel_id": "99303948"}, {"ref": "stanislavkrymskii/cayleypy-cubic-solutions-statistics", "kernel_id": "100750833"}, {"ref": "aparnevan/cayleypy-cube-test", "kernel_id": "101965083"}, {"ref": "alexandervc/cayleypy-compare-solutions", "kernel_id": "101269223"}, {"ref": "alexandervc/cayleypy-beam2p22-clean", "kernel_id": "101223561"}, {"ref": "alexandervc/cayleypy-compare-merged-solutions", "kernel_id": "101328577"}, {"ref": "alexandervc/cayleypy-automerge-parts", "kernel_id": "101189795"}, {"ref": "alexandervc/cayleypy-solutions-analysis2", "kernel_id": "102379746"}, {"ref": "alexandervc/cayleypy-automerge-beam2p24", "kernel_id": "102259990"}, {"ref": "lilypilly/fork-of-cayleypy-cube-train-and-solve-selected", "kernel_id": "102626133"}, {"ref": "pearcatcher/bellman-train-and-eval", "kernel_id": "109073495"}, {"ref": "artgor/cayleypy-ihes-cube-tpu-beam", "kernel_id": "126728976"}, {"ref": "artgor/cayleypy-ihes-gfn-beam", "kernel_id": "128262361"}, {"ref": "artgor/cayleypy-ihes-gfn-trainer", "kernel_id": "128248469"}, {"ref": "trydotatwo/cayleypy-2xt4-ihes-recommended", "kernel_id": "129496483"}, {"ref": "trydotatwo/cayleypy-2xt4-ihes-depthsafe", "kernel_id": "129508385"}, {"ref": "trydotatwo/cayleypy-2xt4-ihes-example", "kernel_id": "129290557"}]}
{"competition_id": "113914", "kernels": []}
{"competition_id": "113920", "kernels": [{"ref": "archishau/starter-notebook-round-2", "kernel_id": "90994900"}, {"ref": "sayantansaharoy/starter-notebook-round-2", "kernel_id": "91000532"}, {"ref": "armaan3388/starter-notebook-round-2", "kernel_id": "91002846"}, {"ref": "anjaliraj1/starter-notebook-round-2", "kernel_id": "91005348"}, {"ref": "keshavthakur001/starter-notebook-round-2", "kernel_id": "91004591"}, {"ref": "dipanjanpradhanone/starter-notebook-round-2-64699b", "kernel_id": "91005351"}]}
{"competition_id": "113925", "kernels": [{"ref": "rokham/intro", "kernel_id": "91435193"}, {"ref": "mrnnnn/rapaport-m2-competition-policy-upto-n-30", "kernel_id": "91988424"}, {"ref": "alimbijiev/rapport-m2-competition-m-n", "kernel_id": "91274834"}, {"ref": "nickvilkinkrom/pairformer-alphazero", "kernel_id": "93253955"}, {"ref": "mehrankazeminia/1-rapaportm2-moves-binary-split", "kernel_id": "98580122"}]}
{"competition_id": "113928", "kernels": []}
{"competition_id": "113948", "kernels": []}
{"competition_id": "113950", "kernels": [{"ref": "tigerkun/homework3-demo", "kernel_id": "91141796"}, {"ref": "tigerkun/homework1-demo", "kernel_id": "91073107"}, {"ref": "tigerkun/homework2-demo", "kernel_id": "91077531"}]}
{"competition_id": "113952", "kernels": []}
{"competition_id": "113979", "kernels": []}
{"competition_id": "113983", "kernels": [{"ref": "tigerkun/homework3-demo", "kernel_id": "91141796"}, {"ref": "tigerkun/homework2-demo", "kernel_id": "91077531"}]}
{"competition_id": "113984", "kernels": [{"ref": "tigerkun/homework3-demo", "kernel_id": "91141796"}]}
{"competition_id": "113985", "kernels": [{"ref": "lidiashishina/cube-4-4-4-version-1", "kernel_id": "65598261"}, {"ref": "pearcatcher/cayleypy-444-cube-first-steps", "kernel_id": "91259817"}, {"ref": "anastasiiaboikova/444-cube-cayleypy-cube-train-and-solve", "kernel_id": "97819155"}, {"ref": "alexandervc/cayleypy-cube444-compare-submits-beam2p22-vs-24", "kernel_id": "101554164"}, {"ref": "alexandervc/cayleypy-cube444-solutions-statistics", "kernel_id": "102801279"}, {"ref": "alexandervc/cayleypy-automerge-444cube", "kernel_id": "102663705"}, {"ref": "alexandervc/cayleypy-merge-submits-cube444", "kernel_id": "102879832"}, {"ref": "alexandervc/cayleypycube-tetraminx", "kernel_id": "129390298"}, {"ref": "hiazuoquan/cayleypy-cube4-baseline-no-edit", "kernel_id": "129328593"}, {"ref": "kailashchandranuwal/state128-runner-beam-search-demo", "kernel_id": "129328198"}, {"ref": "fangweif/minimal-piece-transformer-inference", "kernel_id": "129328443"}, {"ref": "kiranmazumdarshaw/cube4-2xt4-fp16-beam-profiles-study", "kernel_id": "129328427"}, {"ref": "muhammedaxizkhan/simple-cube4-checkpoint-loader", "kernel_id": "129327845"}, {"ref": "anyteilorjoi/heckpoint-only-state128-beam-runner", "kernel_id": "129516911"}, {"ref": "trydotatwo/cayleypy-2xt4-4x4x4-recommended", "kernel_id": "129496116"}, {"ref": "trydotatwo/cayleypy-2xt4-444-depthsafe", "kernel_id": "129508185"}, {"ref": "trydotatwo/cayleypy-2xt4-444-example", "kernel_id": "129294217"}, {"ref": "gutorin/cayleypy-2xt4-4x4x4-symmetry-fork", "kernel_id": "130826812"}, {"ref": "artgor/cayleypy-cube444-q-beam-tpu", "kernel_id": "130309992"}, {"ref": "lbsbmsu/cayleyr-444", "kernel_id": "130209313"}, {"ref": "drozdovdan/cayleypy-rw-models2", "kernel_id": "131055911"}, {"ref": "artgor/cayleypy-cube444-q-beam-tpu-256m-explained", "kernel_id": "133692948"}, {"ref": "artgor/cayleypy-cube444-q-beam-tpu-256m", "kernel_id": "133333870"}, {"ref": "avikdas567/optimal-geodesic-search-on-4x4x4-cube-cayley-graph", "kernel_id": "135314894"}]}
{"competition_id": "113995", "kernels": []}
{"competition_id": "113997", "kernels": []}
{"competition_id": "114010", "kernels": []}
{"competition_id": "114011", "kernels": []}
{"competition_id": "114012", "kernels": []}
{"competition_id": "114021", "kernels": []}
{"competition_id": "114056", "kernels": []}
{"competition_id": "114073", "kernels": [{"ref": "profmanoela/dogs-and-cats", "kernel_id": "91135796"}]}
{"competition_id": "114083", "kernels": []}
{"competition_id": "114084", "kernels": []}
{"competition_id": "114085", "kernels": [{"ref": "miraclelpx/teacher-example-mnist-for-mlp", "kernel_id": "91153342"}, {"ref": "ifanhuo/125071910018", "kernel_id": "94555231"}, {"ref": "silencexs/example-by-teacher", "kernel_id": "102524480"}, {"ref": "triplel9/example-by-teacher-3f6d91", "kernel_id": "102468726"}]}
{"competition_id": "114090", "kernels": []}
{"competition_id": "114092", "kernels": [{"ref": "trinidadm/starternotebook-dummysubmission", "kernel_id": "91745395"}]}
{"competition_id": "114094", "kernels": [{"ref": "antonoof/baseline", "kernel_id": "91265890"}, {"ref": "antonoof/data-to-delete-outliers", "kernel_id": "91585968"}, {"ref": "antonoof/predict-ensemble", "kernel_id": "91771789"}, {"ref": "vietleds/grocery-items-detection-copy-edit", "kernel_id": "91475319"}, {"ref": "tmdofi/predict-ensemble-yolo", "kernel_id": "95537297"}, {"ref": "samuelvarghese000/notebook438c2b43e6", "kernel_id": "98811945"}, {"ref": "samuelvarghese000/notebooka974175aa3", "kernel_id": "99556791"}, {"ref": "truthandlife/effedet-fresh", "kernel_id": "99558670"}, {"ref": "samuelvarghesee/fasterrcnn", "kernel_id": "101205512"}, {"ref": "alexanderpov/mercado-ta-caro", "kernel_id": "111347059"}, {"ref": "danielfreirejunior/inferencia-mercado", "kernel_id": "113279280"}, {"ref": "danielfreirejunior/yolo-treino-mercado", "kernel_id": "113244950"}, {"ref": "omarvs/ruido-da", "kernel_id": "113524796"}, {"ref": "rodolphoneves/semana-2-grocery-items-kaggle", "kernel_id": "116147504"}, {"ref": "renilsonsantosmoura/elt-579-2a-semana", "kernel_id": "118300372"}, {"ref": "riscozero/elt579-grocery-items-eltonfms", "kernel_id": "119290417"}]}
{"competition_id": "114095", "kernels": []}
{"competition_id": "114135", "kernels": [{"ref": "taylorsamarel/starter-code-eda-basic-model", "kernel_id": "91998263"}, {"ref": "taylorsamarel/simple-to-advanced-architecture", "kernel_id": "92005192"}, {"ref": "taylorsamarel/v2-eda-only-w-llm-interpret", "kernel_id": "92019012"}, {"ref": "taylorsamarel/v2-simple-to-advanced-architecture", "kernel_id": "92687208"}, {"ref": "daosyduyminh/simple-to-advanced-architecture-864475", "kernel_id": "92044440"}, {"ref": "daosyduyminh/eda-is-all-you-need", "kernel_id": "92031177"}, {"ref": "bigdatasmallhead/gpu-simple-to-advanced-architecture-remix-attempt", "kernel_id": "92101424"}, {"ref": "eshanthchinthareddy/reversing-points", "kernel_id": "93847480"}, {"ref": "lvncynha/baseline", "kernel_id": "93083919"}, {"ref": "gauravparkhedkar/detectsol", "kernel_id": "93335098"}, {"ref": "abdulahadshaik/detecting-reversal-points-in-us-equities-8b", "kernel_id": "95714322"}, {"ref": "subarnasaikia/reversal-points-in-us-equities", "kernel_id": "96190238"}, {"ref": "codingeye/detecting-reversal-points-us-equities", "kernel_id": "96369241"}, {"ref": "michelemil/genetic-algo-jax-feature-selection", "kernel_id": "102782868"}, {"ref": "anggidwifiani/how-to-submit-csv-in-competition", "kernel_id": "103821853"}, {"ref": "michelemil/jax-gbm-dual-head", "kernel_id": "103446793"}, {"ref": "gssreshta/reversal-points-in-us-equities-xthnk", "kernel_id": "103285082"}, {"ref": "yihanguo/us-equities-reversal-points-new-comptetition-data", "kernel_id": "104799260"}, {"ref": "kazuto114/detecting-reversal-points", "kernel_id": "104524276"}, {"ref": "gtanmoy/reversal-points", "kernel_id": "104678630"}, {"ref": "lawalgiyath12/notebookaa6f2b8b57", "kernel_id": "105845055"}, {"ref": "michelemil/reversal-points-in-us-equities", "kernel_id": "105778132"}, {"ref": "hmnshudhmn24/detecting-reversal-points-in-us-equities", "kernel_id": "105474908"}, {"ref": "kakaxitanlang/reversal-points-in-us-equities-4faae4", "kernel_id": "105773929"}, {"ref": "misterfour/detecting-reversal-points-in-us-equities", "kernel_id": "106502956"}]}
{"competition_id": "114137", "kernels": []}
{"competition_id": "114148", "kernels": [{"ref": "khorkaijie/baseline-smoker", "kernel_id": "104516746"}]}
{"competition_id": "114160", "kernels": []}
{"competition_id": "114175", "kernels": []}
{"competition_id": "114184", "kernels": []}
{"competition_id": "114201", "kernels": [{"ref": "picekl/single-modality-baseline-sentinel2-patches", "kernel_id": "91278100"}, {"ref": "picekl/single-modality-baseline-bioclimatic-cubes", "kernel_id": "91271174"}, {"ref": "picekl/single-modality-baseline-landsat-cubes", "kernel_id": "91272154"}, {"ref": "taylorsamarel/starter-demo-notebook", "kernel_id": "91456738"}, {"ref": "sonnymupfuni01/multi-modal-fusion-baseline-geoplant-paiss", "kernel_id": "92341378"}]}
{"competition_id": "114239", "kernels": [{"ref": "mks2192/nfl-big-data-bowl-2026-eda", "kernel_id": "93826431"}, {"ref": "mks2192/nfl-2026-big-data-bowl", "kernel_id": "93922024"}, {"ref": "dtthomas/nflpredictv2", "kernel_id": "93733855"}, {"ref": "ajaysamp/nfl-big-data-bowl-2026-eda-upgraded", "kernel_id": "93533152"}, {"ref": "ajaysamp/physics-football-features-eda-updated", "kernel_id": "93952108"}, {"ref": "gauravchopracg/players-data-analysis", "kernel_id": "93819824"}, {"ref": "baglaribr/nfl-big-data-bowl-2026", "kernel_id": "93494044"}, {"ref": "stpeteishii/nfl-2026-track-animator", "kernel_id": "93243919"}, {"ref": "ahsuna123/cv-0-9377-5-fold-ensemble", "kernel_id": "93149154"}, {"ref": "mpwolke/nfl-touchdown-rio-de-janeiro-2026", "kernel_id": "93346943"}, {"ref": "dedquoc/nfl-bdb-2026-prediction-x-y-baseline", "kernel_id": "93154819"}, {"ref": "wguesdon/nfl-eda-baseline", "kernel_id": "93114169"}, {"ref": "haroldmei/nfl-big-data-bowl-2026-lightgbm", "kernel_id": "93506070"}, {"ref": "hidebu/my-eda-for-nfl-big-data-bowl-2026", "kernel_id": "93146939"}, {"ref": "hidebu/players-in-the-nfl-big-data-bowl-2026-dataset", "kernel_id": "93187367"}, {"ref": "danpietrow/nfl-play-animation-player-movement", "kernel_id": "93111319"}, {"ref": "danpietrow/lgbm-baseline-1-00-lb-beginner-friendly-starter", "kernel_id": "93112550"}, {"ref": "samithsachidanandan/nfl-big-data-bowl-2026-tensor-flow", "kernel_id": "93998824"}, {"ref": "samithsachidanandan/nfl-bdb-2026-xgboost", "kernel_id": "93937205"}, {"ref": "mabelhsu/nfl-big-data-bowl-2026-eda-fast", "kernel_id": "93356946"}, {"ref": "ravi20076/nfl2025-baseline-v3", "kernel_id": "93244853"}, {"ref": "ravi20076/nfl2025-baseline-v2", "kernel_id": "93161611"}, {"ref": "ravi20076/nfl2025-baseline-v1", "kernel_id": "93124158"}, {"ref": "coderjay/nfl-big-data-bowl-2026-analysis", "kernel_id": "93112545"}, {"ref": "taylorsamarel/starter-beautiful-eda-model", "kernel_id": "93121725"}, {"ref": "taylorsamarel/remix-nfl-big-data-bowl-2026-prediction", "kernel_id": "93194628"}, {"ref": "taylorsamarel/hybrid-solution-nfl-big-data", "kernel_id": "93190273"}, {"ref": "taylorsamarel/graph-temporal-network", "kernel_id": "93207164"}, {"ref": "taylorsamarel/v2-hybrid-solution-nfl-big-data", "kernel_id": "93450324"}, {"ref": "taylorsamarel/new-architecture-test", "kernel_id": "93839075"}, {"ref": "taylorsamarel/v3-temporal-graph-transformer-solution", "kernel_id": "93860855"}, {"ref": "taylorsamarel/v2-new-architecture-test", "kernel_id": "93855076"}, {"ref": "kitoryyeah/spatio-temporal-gnn-st-gnn", "kernel_id": "93577865"}, {"ref": "ceecreative/nfl-big-data-bowl-2026-prediction", "kernel_id": "93448137"}, {"ref": "shameersham/nfl-data-4", "kernel_id": "93984292"}, {"ref": "garrickchinnis/nfl-big-data-bowl-2026-prediction-xgboost", "kernel_id": "93114420"}, {"ref": "edwingarcia48/nfl-big-data-bowl-2026-analysis-prediction-3ea6f5", "kernel_id": "93744175"}, {"ref": "caro83/nfl-big-data-bowl-2026-analysis-prediction-ocj", "kernel_id": "93744049"}, {"ref": "xiaoz259/nfl-2026-gbdts-inference", "kernel_id": "93301299"}, {"ref": "ginsengstrip/nfl-26-prediction", "kernel_id": "93470384"}, {"ref": "koushikkumardinda/nfl-big-data-bowl-2026-prediction", "kernel_id": "93238548"}, {"ref": "juliandavidmorales/parcial-1", "kernel_id": "93741955"}, {"ref": "hiwe0305/nfl-big-data-baseline", "kernel_id": "93110061"}, {"ref": "snnguynvnk19hl/nfl-2026-baseline", "kernel_id": "93117462"}, {"ref": "ismaelcortesramirez/nfl-big-data-bowl-2026-analysis-prediction-parcial", "kernel_id": "93742294"}, {"ref": "llkh0a/nfl-big-data-bowl-2026-lstm", "kernel_id": "93637205"}, {"ref": "llkh0a/tree-stack", "kernel_id": "93249939"}, {"ref": "jithendrapuppala/nfl-2026-big-data-bowl-baseline-prediction", "kernel_id": "93185734"}, {"ref": "wafaaalayoubi/step-by-step-eda-for-player-prediction", "kernel_id": "93582215"}, {"ref": "shodaifuruya/nfl-26-big-data-bowl-physics-informed-stacking", "kernel_id": "93991464"}, {"ref": "harshrajsahu007/nfl-harsh-submission", "kernel_id": "93323997"}, {"ref": "luisfernandobuchelly/nfl-big-data-bowl-2026-analysis-prediction", "kernel_id": "93741805"}, {"ref": "juancamilo0218/nfl-big-data-bowl-2026-analysis-prediction", "kernel_id": "93741643"}, {"ref": "julopezrio/nfl-big-data-bowl-2026-analysis-prediction-b362cd", "kernel_id": "93742798"}, {"ref": "paulinaruizbonilla/nfl-big-data-bowl-2026-analysis-prediction-b362cd", "kernel_id": "93951143"}, {"ref": "jamessarker060795/notebook4ab68711db", "kernel_id": "93131010"}, {"ref": "yusufsertkayaysk/train-vs-test", "kernel_id": "93117496"}, {"ref": "navneetkumarjha/nfl-big-data-bowl-2026-analysis-prediction", "kernel_id": "93505495"}, {"ref": "paulashell1/proyecto", "kernel_id": "93374260"}, {"ref": "igor14497/tabm-nfl-big-data-bowl-2026-prediction", "kernel_id": "94058461"}, {"ref": "tasmim/nfl-big-data-bowl-2026-lightgbm-baseline", "kernel_id": "94351055"}, {"ref": "tasmim/nfl-big-data-bowl-complete-enhanced-pipeline", "kernel_id": "94692145"}, {"ref": "tasmim/nfl-26-lb-0-62-gru-attention-with-lag-ema", "kernel_id": "94767916"}, {"ref": "tasmim/nfl-bdb-26-feature-rich-gru-predictor-lb-0-61", "kernel_id": "94834491"}, {"ref": "johnmorgan11/bdb-26-v1-simple-rf", "kernel_id": "94648416"}, {"ref": "kaba777/random-forest-model-lb-5-66", "kernel_id": "94860442"}, {"ref": "mathieuduverne/nfl-2026-simple-ensemble", "kernel_id": "94106115"}, {"ref": "mathieuduverne/nfl-2026-simple-lightgbm", "kernel_id": "94583156"}, {"ref": "oreadu/stacking-with-out-of-fold-oof-validation", "kernel_id": "94038646"}, {"ref": "certifiedsurvey/nfl-big-data-bowl-2026-motion-aware-v2-lite", "kernel_id": "94653882"}, {"ref": "taylorsamarel/efficient-gnn", "kernel_id": "94176143"}, {"ref": "taylorsamarel/v1-transformer", "kernel_id": "94041321"}, {"ref": "sufya6/nfl-big-data-a-hybrid-gnn-lstm-approach", "kernel_id": "94502444"}, {"ref": "trunova/nflbigdatabowl2026", "kernel_id": "94930398"}, {"ref": "junaid512/nfl-big-data-eda-upvote-plz", "kernel_id": "94780370"}, {"ref": "banothjayanthulal/big-data-bowl-2026-multispecs-nn", "kernel_id": "94332058"}, {"ref": "llkh0a/nfl-big-data-bowl-2026-dynamic-specs-nn", "kernel_id": "94269607"}, {"ref": "jayasreeselvam/submission-csv", "kernel_id": "94470607"}, {"ref": "giovannyrodrguez/ml-nlf", "kernel_id": "94268120"}, {"ref": "hsiaosuan/train-gru-and-sub-with-best-params", "kernel_id": "94992500"}, {"ref": "hirotoshisaito/nfl-2026-big-data-bowl-hs", "kernel_id": "94786625"}, {"ref": "analyticaobscura/nfl-motion-prediction-2026", "kernel_id": "94275731"}, {"ref": "ryanadamsai/nfl-big-data-bowl-catboost-baseline-608", "kernel_id": "94937356"}, {"ref": "oscarguerrer07/parcial-1-tam", "kernel_id": "94852418"}, {"ref": "mohammadjafarzamani/nfl-bdb-2026-lstm-interactions-v1", "kernel_id": "94174758"}, {"ref": "mohammadjafarzamani/nfl-bdb-2026-player-tracking-prediction-v1", "kernel_id": "94102805"}, {"ref": "adrienthomas/nfl-big-data-bowl-2026-prediction", "kernel_id": "94761339"}, {"ref": "jjgalindom/nflbigdata2026-juangalindo-tam", "kernel_id": "94031461"}, {"ref": "aaronfalloon/nfl-lstm-seq2seq", "kernel_id": "95292951"}, {"ref": "wesleyhuan/easy-solution-nfl-big-data-bowl-2026", "kernel_id": "95782205"}, {"ref": "danigarci1/bdb-2026-lightgbm-displacement", "kernel_id": "95133227"}, {"ref": "danigarci1/nfl-big-data-bowl-lightgbm", "kernel_id": "95133684"}, {"ref": "atikmahabub/cgan-bigru-cnn", "kernel_id": "95823885"}, {"ref": "tasmim/nfl-26-math-behind-feature-extraction", "kernel_id": "95531718"}, {"ref": "johnmorgan11/bdb-26-v2-simple-mlp", "kernel_id": "95266827"}, {"ref": "vanshitasharma/initial-eda-for-nfl-26", "kernel_id": "95289265"}, {"ref": "mathieuduverne/lightgbm-interpretation", "kernel_id": "95888361"}, {"ref": "mathieuduverne/nfl-2026-gru-baseline", "kernel_id": "95537274"}, {"ref": "mathieuduverne/nfl-2026-gnn-seq2seq", "kernel_id": "95247877"}, {"ref": "yogeshbawankar/gridironformer-a-multi-agent-transformer-playbook", "kernel_id": "95156492"}, {"ref": "yasukawatoyoki/example-test", "kernel_id": "95249340"}, {"ref": "daniyalatta/nfl-test-discussion-code-enhancements", "kernel_id": "95885379"}, {"ref": "hafizmuaz9595/nfl-big-data-bowl-2026", "kernel_id": "95027839"}, {"ref": "anthonytherrien/nfl-26-gru-attention-w-lag-ema-format", "kernel_id": "95084284"}, {"ref": "abdullah0a/nfl2026-gru-attn-mirrorboost", "kernel_id": "95801142"}, {"ref": "ashrafyaseerrashid/gnn-try", "kernel_id": "95868407"}, {"ref": "llkh0a/nfl-big-data-bowl-2026-bigru", "kernel_id": "95121128"}, {"ref": "chengzhijiang/nfl2026-prediction-lb0-584-before-adding-eval-api", "kernel_id": "95139644"}, {"ref": "chengzhijiang/nfl-transformer0-595lb-before-adding-eval-api", "kernel_id": "95243703"}, {"ref": "hesh1m/nfl-big-data-bowl-2026-prediction", "kernel_id": "95409034"}, {"ref": "benjaminhaddad1/arima-nfl-model", "kernel_id": "95351563"}, {"ref": "nashizumi45/nfl-baseline-lots-bug", "kernel_id": "95911253"}, {"ref": "fresnellll/morelosstest", "kernel_id": "95722653"}, {"ref": "olaflundstrom/nfl-big-data-bowl-2026-player-movement-prediction", "kernel_id": "95423344"}, {"ref": "doncie/nfl-challenge-gru", "kernel_id": "95787834"}, {"ref": "jezzlin/easytrans-with-teamfeature", "kernel_id": "95118827"}, {"ref": "hsiaosuan/sttn-implement", "kernel_id": "95482231"}, {"ref": "hsiaosuan/highest-gru", "kernel_id": "95025924"}, {"ref": "ryanadamsai/nfl-big-data-bowl-2026-trained-model-output-pkl", "kernel_id": "95160919"}, {"ref": "ryanadamsai/nfl-big-data-bowl-routes-cb-mirroring-615", "kernel_id": "95175014"}, {"ref": "ryanadamsai/nfl-big-data-bowl-geometric-gnn-lb-586", "kernel_id": "95660177"}, {"ref": "oscarguerrer07/nfl-big-data-bowl-2026-analysis-prediction-b2abe6", "kernel_id": "95081389"}, {"ref": "yusufsertkayaysk/nfl-26-gru-conv1d-attention-lb-0-6", "kernel_id": "95245843"}, {"ref": "sohier/nfl-2026-demo-submission", "kernel_id": "96408380"}, {"ref": "amalsp220/nfl-big-data-bowl-2026-winning-solution", "kernel_id": "96972811"}, {"ref": "mango789/nfl2026-submission", "kernel_id": "96740224"}, {"ref": "pankajiitr/nfl-big-data-bowl-2026-geometry-gnn", "kernel_id": "96182270"}, {"ref": "pankajiitr/nfl-2026-3-models", "kernel_id": "96847291"}, {"ref": "aliguinga5/nfl-big-data-bowl-2026-geometry-gnn", "kernel_id": "96826721"}, {"ref": "zhimingliang897/notebookff4600c25d", "kernel_id": "96816831"}, {"ref": "zhanhuang522/nfl2026-prediction", "kernel_id": "96433322"}, {"ref": "aryankr0711/nfl-lightgbm", "kernel_id": "96278082"}, {"ref": "marwanashref/nfl-26-with-transformer-after-fixing-0-694", "kernel_id": "96097168"}, {"ref": "marwanashref/nfl2026-prediction-lb-0-584", "kernel_id": "96595424"}, {"ref": "muran169633/baseline-0-583", "kernel_id": "96778986"}, {"ref": "nashizumi45/baseline-by-boyfriend-j", "kernel_id": "96092311"}, {"ref": "fresnellll/api-ell-trans", "kernel_id": "96481302"}, {"ref": "bharath2230/nfl-big-data-blow", "kernel_id": "96944990"}, {"ref": "hsiaosuan/ensemble-new-api", "kernel_id": "96475509"}, {"ref": "ryanadamsai/nfl-big-data-bowl-eda-train-vs-test", "kernel_id": "96124308"}, {"ref": "ryanadamsai/nfl-dejean-geometric-gnn-final-lb-577", "kernel_id": "96868061"}, {"ref": "vietngogm/nfl-bigdata-2026-bowl-pipeline", "kernel_id": "96934647"}, {"ref": "vietngogm/nfl-bigdata-bowl-2026-feedforward-lb-0-633", "kernel_id": "96800726"}, {"ref": "yusufsertkayaysk/nfl-big-data-bowl-2026-lb-0-604-pipeline", "kernel_id": "96542079"}, {"ref": "yusufsertkayaysk/nfl-big-data-bowl-2026-lb-0-604", "kernel_id": "96030883"}, {"ref": "prakharsharmadtu2028/nfl-big-data-bowl-2026-prediction", "kernel_id": "96622744"}, {"ref": "abdlfttahyous/notebook5ef5ab81f4", "kernel_id": "96515745"}, {"ref": "weingeg/nfl-bdb-2026-xgboost", "kernel_id": "96781917"}, {"ref": "yanpapadakis/nfl-big-data-bowl-2026-prediction-eda", "kernel_id": "97723300"}, {"ref": "ianjian/nfl-ana", "kernel_id": "97660494"}, {"ref": "bharath2230/back-to-predection", "kernel_id": "97679098"}, {"ref": "thehiker/hiker-nfl-2026-demo", "kernel_id": "97763657"}, {"ref": "canality/129th-solution-multi-experts-models", "kernel_id": "97791455"}, {"ref": "ajpc00/nfl-2026", "kernel_id": "97545839"}, {"ref": "bradmcbride/notebookc64fc50c30", "kernel_id": "97625282"}, {"ref": "samibadidi/nfl-2026-analytics", "kernel_id": "97297516"}, {"ref": "tasmim/1-unified-nfl-feature-extraction", "kernel_id": "98163194"}, {"ref": "vanshitasharma/sample-submission-nfl", "kernel_id": "98016590"}, {"ref": "pepushi/nfl2026-geometry-gnn", "kernel_id": "98242819"}, {"ref": "gauravparkhedkar/notebook23c4aa0375", "kernel_id": "98728941"}, {"ref": "uneonzwitterion/nfl-bdb-2026-xgboost", "kernel_id": "98961319"}, {"ref": "atl132/nfl26-sttransformer-pipeline", "kernel_id": "98725187"}, {"ref": "soonduck/nfl-prediction", "kernel_id": "98369010"}, {"ref": "mango789/nfl2026-submission-private", "kernel_id": "99339268"}, {"ref": "pankajiitr/ensemble-nfl-big-data-bowl-2026-v1", "kernel_id": "99401100"}, {"ref": "bhaumiksenwal110/beginner-nfl-big-data-bowl-2026-prediction", "kernel_id": "99969864"}, {"ref": "farrzh/nfl2026-submission", "kernel_id": "99296471"}, {"ref": "mingli321/extreme-route", "kernel_id": "99351197"}, {"ref": "maheenriaz1122/nfl-big-data-bowl-2026-prediction-2", "kernel_id": "99876245"}, {"ref": "empowerkingdom/nfl-2026-baseline-predict-ipynb", "kernel_id": "99917037"}, {"ref": "simonrba/nfl-bdb-2026-coverage-v8-training", "kernel_id": "100801965"}, {"ref": "simonrba/nfl-bdb-2026-coverage-aware-transformer-v7", "kernel_id": "100800447"}, {"ref": "simonrba/nfl-bdb-2026-baseline-trajectory-predictor", "kernel_id": "100784285"}, {"ref": "simonrba/nfl-bdb-2026-inference-with-parquet-output", "kernel_id": "100817970"}, {"ref": "simonrba/nfl-bdb-2026-clean-baseline-training", "kernel_id": "100811305"}, {"ref": "simonrba/nfl-bdb-2026-clean-baseline-inference", "kernel_id": "100813039"}, {"ref": "simonrba/nfl-bdb-2026-clean-baseline-submission", "kernel_id": "100816944"}, {"ref": "simonrba/nfl-bdb-2026-clean-submission-v2", "kernel_id": "100817217"}, {"ref": "simonrba/nfl-bdb-2026-inference-fixed", "kernel_id": "100806166"}, {"ref": "simonrba/nfl-bdb-2026-inference-submission", "kernel_id": "100804339"}, {"ref": "simonrba/nfl-bdb-2026-inference-v2", "kernel_id": "100804874"}, {"ref": "simonrba/nfl-bdb-2026-inference-final", "kernel_id": "100805212"}, {"ref": "simonrba/nfl-bdb-2026-inference-working", "kernel_id": "100805555"}, {"ref": "simonrba/nfl-bdb-2026-final-submission", "kernel_id": "100959983"}, {"ref": "simonrba/nfl-bdb-2026-submission-fixed", "kernel_id": "100960558"}, {"ref": "srigan02/nfl-big-data-bowl-2026-prediction", "kernel_id": "100966593"}, {"ref": "vladimirnasalciuc/notebook0d4a9a3cdc", "kernel_id": "100757912"}, {"ref": "llkh0a/nfl-bigdata-2026-gnn-caf-weightedlossfunction", "kernel_id": "100030530"}, {"ref": "ariadneannetsambali/big-data-bowl-prediction2", "kernel_id": "100749750"}, {"ref": "glenndalbey/weighted-12-model-diverse-ensemble", "kernel_id": "100386009"}, {"ref": "glenndalbey/weighted-5-model-ensemble", "kernel_id": "100385491"}, {"ref": "glenndalbey/weighted-9-model-diverse-ensemble", "kernel_id": "100385751"}, {"ref": "ritikasharmabhind/the-kaggle-competition", "kernel_id": "100251722"}, {"ref": "hazembouzidi/notebook91c6017f97", "kernel_id": "100492763"}, {"ref": "hazembouzidi/nfl-2026-demo-submission", "kernel_id": "100017361"}, {"ref": "andrefizulin/simple-solution-baseline", "kernel_id": "100802095"}, {"ref": "yasunorim/geometric-rules-baseline-2-921-rmse-no-ml", "kernel_id": "101351382"}, {"ref": "simonrba/nfl-physics-transformer-inference", "kernel_id": "101512591"}, {"ref": "simonrba/nfl-bdb-2026-delta-training-v3", "kernel_id": "101082182"}, {"ref": "simonrba/nfl-bdb-2026-delta-inference-v2", "kernel_id": "101080817"}, {"ref": "simonrba/nfl-bdb-2026-autoregressive-inference", "kernel_id": "101071287"}, {"ref": "simonrba/nfl-bdb-2026-delta-inference", "kernel_id": "101078853"}, {"ref": "simonrba/nfl-bdb-2026-delta-training-v2", "kernel_id": "101077086"}, {"ref": "simonrba/nfl-bdb-2026-continuity-fix", "kernel_id": "101074112"}, {"ref": "simonrba/nfl-bdb-2026-delta-prediction-training", "kernel_id": "101075693"}, {"ref": "simonrba/nfl-bdb-2026-autoregressive-training", "kernel_id": "101068315"}, {"ref": "simonrba/nfl-bdb-2026-actual-predictions-fixed", "kernel_id": "101063416"}, {"ref": "simonrba/nfl-bdb-2026-real-inference", "kernel_id": "101063804"}, {"ref": "simonrba/nfl-bdb-2026-final-v1", "kernel_id": "101064220"}, {"ref": "simonrba/nfl-bdb-2026-debug-v1", "kernel_id": "101059396"}, {"ref": "simonrba/nfl-bdb-2026-lookup-test", "kernel_id": "101060049"}, {"ref": "simonrba/nfl-gat-training-with-real-data", "kernel_id": "101906550"}, {"ref": "mattflaherty97/bigdatabowl2026-xgboost", "kernel_id": "101821506"}, {"ref": "samerattrah/nfl-prediction-submission", "kernel_id": "101685686"}, {"ref": "sardaralimaqsood/nfl-big-data-bowl-geometric-gnn-lb-586", "kernel_id": "101753354"}, {"ref": "benjaminhaddad1/rnn-submission", "kernel_id": "101135657"}, {"ref": "toxirmalik/nfl-big-data-bowl-2026", "kernel_id": "101773207"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "nilkanththere/notebook3d5df4798d", "kernel_id": "101524301"}, {"ref": "gssreshta/ensemble-nfl-big-data-bowl-2026-v1-04aa95", "kernel_id": "101733610"}, {"ref": "gssreshta/ensemble-nfl-big-data-bowl-2026-v1", "kernel_id": "101732100"}, {"ref": "gssreshta/notebook4ab68711db", "kernel_id": "101884808"}, {"ref": "andrefizulin/not-the-best-but-smart", "kernel_id": "101232239"}, {"ref": "andrefizulin/3h-runtime-deep-learning", "kernel_id": "101161872"}, {"ref": "andrefizulin/ensemble-mymodell", "kernel_id": "101898944"}, {"ref": "andrefizulin/nfl-2026-3-models", "kernel_id": "101893260"}, {"ref": "andrefizulin/nfl-big-data-bowl-2026-geometry-gnn", "kernel_id": "101893105"}, {"ref": "cebo26033/top-xgb-gradient-boosted-routes-mj23-edition", "kernel_id": "102891050"}, {"ref": "mburum/nfl-model-training", "kernel_id": "102922951"}, {"ref": "johnoliverjones/nfl-xgb-models-14-3-trainer", "kernel_id": "102793610"}, {"ref": "johnoliverjones/nfl-predictions-26", "kernel_id": "102362225"}, {"ref": "kotarojp/simple-play-visualizer", "kernel_id": "102876512"}, {"ref": "suryajrrafl/stt-nfl-player-prediction", "kernel_id": "102926885"}, {"ref": "lauvfpitipak/nfl-big-data-bowl-2026", "kernel_id": "102968457"}, {"ref": "lauvfpitipak/nfl-big-data-bowl-2026-v-2-0", "kernel_id": "102976908"}, {"ref": "amitkumargope/nfl-big-data-v1-0", "kernel_id": "102677546"}, {"ref": "adityal0/nfl-2026", "kernel_id": "102884478"}, {"ref": "samerattrah/nfl-submission-simple-processing", "kernel_id": "102447566"}, {"ref": "samerattrah/nfl-manual-training", "kernel_id": "102114799"}, {"ref": "likhithv02/nfl-multi-agent-gat-submission", "kernel_id": "102661089"}, {"ref": "yunsuxiaozi/nfl2026-nn-inference1127-4models", "kernel_id": "102642664"}, {"ref": "daehyunlee123123/nfl-prediction-seq2seq", "kernel_id": "102638453"}, {"ref": "tygryskuyato/nfl-big-data-bowl-2026-prediction", "kernel_id": "102657872"}, {"ref": "tygryskuyato/nfl-big-data-bowl-visualization", "kernel_id": "102659212"}, {"ref": "komalganta/nfl-big-data-bowl-2026-newlstm-2acb49", "kernel_id": "102900593"}, {"ref": "mvakhil941/nfl-final-submission", "kernel_id": "102845993"}, {"ref": "mvakhil941/nfl-detailed-project-predictions", "kernel_id": "102845160"}, {"ref": "mvakhil941/nfl-multi-week-validation", "kernel_id": "102844760"}, {"ref": "mvakhil941/nfl-baseline-model", "kernel_id": "102843664"}, {"ref": "mvakhil941/nfl-eda", "kernel_id": "102841465"}, {"ref": "mvakhil941/nfl-analyze-strategic-movement", "kernel_id": "102841778"}, {"ref": "juliandavidmorales/parcial-2-tam-2025-2", "kernel_id": "102919851"}, {"ref": "ll11pp/nfl-2026-3-models", "kernel_id": "102322223"}, {"ref": "sardaralimaqsood/gnn-lstm", "kernel_id": "102075702"}, {"ref": "muhammaddanyalmalik/nfl2026-xgbooster", "kernel_id": "102573676"}, {"ref": "osvaldoruiz619/nfl26-bdb-prediction", "kernel_id": "102728300"}, {"ref": "munyaradzisadzauchi/nfl-prediction-elsie", "kernel_id": "102626767"}, {"ref": "jakeblumengarten/nflbdb-submission", "kernel_id": "102524296"}, {"ref": "hsiaosuan/suansuan-trans-stack", "kernel_id": "102637640"}, {"ref": "jeroshchrisrohanj/notebook7d0a9d506a", "kernel_id": "102462281"}, {"ref": "girrajjangid/nfl-big-data-bowl-2026-prediction", "kernel_id": "102668084"}, {"ref": "zsy1023002160/notebookb3a6f136ce", "kernel_id": "102790580"}, {"ref": "kevinubilla/backfield-ai-infer", "kernel_id": "102988132"}, {"ref": "bdhingpit0uhasselt/notebook757425009d", "kernel_id": "102860032"}, {"ref": "shanmugarajas/nfl-2026-demo-submission", "kernel_id": "102046841"}, {"ref": "kxnal/alpha-matrix", "kernel_id": "102861842"}, {"ref": "goldenlock/betterplot", "kernel_id": "103139787"}, {"ref": "aaronfalloon/nfl-lstm-seq2seq-final-submission", "kernel_id": "103264848"}, {"ref": "solokop/nfl-big-data-bowl-2026-gru-training-v4-asa-gpu", "kernel_id": "103188998"}, {"ref": "tobimichigan/ml-pipeline-for-nfl-big-data-bowl-2026", "kernel_id": "103008257"}, {"ref": "epsilonnnnnnn/nfl-final", "kernel_id": "103230810"}, {"ref": "parthasamal/nfl-2026-hybrid-physics-ml-prediction", "kernel_id": "103228040"}, {"ref": "mrrobot7777/nfl-movement-prediction-2026-eda-results", "kernel_id": "103659067"}, {"ref": "yunsuxiaozi/nfl2026-nn-inference-final-ensemble-open", "kernel_id": "103260785"}, {"ref": "yunsuxiaozi/nfl2026-nn-inference-final", "kernel_id": "103227055"}, {"ref": "omarbengadha/main-submission", "kernel_id": "103225672"}, {"ref": "komalganta/physicsbased-catboost-xgboost-lgbm", "kernel_id": "103508118"}, {"ref": "komalganta/xgboost-lgbm", "kernel_id": "103677229"}, {"ref": "ll11pp/nfl-bdb-baseline-infer", "kernel_id": "103068626"}, {"ref": "zacharymcollins/gnn-oof-ensemble", "kernel_id": "103312967"}, {"ref": "zacharymcollins/a-oof-gnnbasicv2-fev10-50ep-42sd", "kernel_id": "103186344"}, {"ref": "morikawatakeshi/nfl2025-exp296-inference", "kernel_id": "103256149"}, {"ref": "betmyex/nfl2026-nn-inference-final-ensemble-open", "kernel_id": "103283029"}, {"ref": "betmyex/esemble-6-model", "kernel_id": "103299366"}, {"ref": "joekim2024/submission-parquet", "kernel_id": "103215133"}, {"ref": "hsiaosuan/nfl2026-lastshot", "kernel_id": "103330592"}, {"ref": "ryanadamsai/sumer-transfer-learning-596-nfl-bdb-2026", "kernel_id": "103111556"}, {"ref": "ryanadamsai/nfl-bdb2026-zero-ball-features-lb-833", "kernel_id": "103315679"}, {"ref": "ryanadamsai/nfl-bdb26-analytics-player-visualizations", "kernel_id": "103393425"}, {"ref": "soonduck/ensemble-mymodell", "kernel_id": "103029843"}, {"ref": "joseluisroperolozano/p2-tam-nfl-1-7ad27852b8", "kernel_id": "103210354"}, {"ref": "joseluisroperolozano/p2-tam-nfl-1", "kernel_id": "103209340"}, {"ref": "apubhowmick2/final-training-notebook3", "kernel_id": "103321270"}, {"ref": "jjgalindom/nfl-big-data-lstm-phys-feature-engineering", "kernel_id": "103119171"}, {"ref": "kevinubilla/backfield-ai-clean-infra", "kernel_id": "103319116"}, {"ref": "htsssss/machinelearning", "kernel_id": "103128348"}, {"ref": "arnavmishra02/notebooka9b98ad4ff", "kernel_id": "103131312"}, {"ref": "antontaralo/notebook-kaggle", "kernel_id": "103203137"}, {"ref": "antontaralo/notebook36351d2d13", "kernel_id": "103084410"}, {"ref": "yanpapadakis/nfl26transformerutils", "kernel_id": "104291395"}, {"ref": "yanpapadakis/nfl26transformertrain", "kernel_id": "104293549"}, {"ref": "yanpapadakis/multiinputtransformer", "kernel_id": "104294236"}, {"ref": "chack3/nfl2026-1st-place-train", "kernel_id": "104432657"}, {"ref": "nidhishgautam/nfl-big-data-bowl-2026-prediction-2", "kernel_id": "104467044"}, {"ref": "tomschubert/nfl-2026-analytics", "kernel_id": "104590514"}, {"ref": "narwhalof7/nflkag", "kernel_id": "104571216"}, {"ref": "tb0375/temporal-feature-analysis", "kernel_id": "104641360"}, {"ref": "lidongshu/notebook006faed40f", "kernel_id": "104534429"}, {"ref": "lidongshu/analysis-of-physical-characteristics", "kernel_id": "104742365"}, {"ref": "lidongshu/physical-feature-analysis", "kernel_id": "104753952"}, {"ref": "weingeg/catboost-python-project", "kernel_id": "104438631"}, {"ref": "likithagedipudi/nfl-bdb-2026-prediction", "kernel_id": "105571841"}, {"ref": "tb0375/temporal-feature", "kernel_id": "105049644"}, {"ref": "weingeg/catboost", "kernel_id": "105212517"}, {"ref": "weingeg/lightgbm", "kernel_id": "105212755"}, {"ref": "weingeg/view-effect", "kernel_id": "105286604"}, {"ref": "weingeg/datasets-analysis", "kernel_id": "105037911"}, {"ref": "mdferozahmedafm/performance-tuned-6-model-ensemble", "kernel_id": "106397087"}, {"ref": "zui0711/nfl2026-lstm-exp170-latesub", "kernel_id": "107494131"}, {"ref": "chack3/nfl2026-1st-place-inference", "kernel_id": "107389116"}, {"ref": "yunsuxiaozi/nfl2026-public-3rd-inference", "kernel_id": "107347572"}, {"ref": "yunsuxiaozi/nfl2026-public-3rd-train-6", "kernel_id": "107118377"}, {"ref": "w007425y/st-transformer", "kernel_id": "107511540"}, {"ref": "channarongs/nfl-bowl", "kernel_id": "107775689"}, {"ref": "marcosperezesteban/nfl-final", "kernel_id": "109312288"}, {"ref": "porawatkatiya/lab-task-nfl-player-movement-prediction", "kernel_id": "110719041"}, {"ref": "suphatsornnawachai/lab-07", "kernel_id": "112004358"}, {"ref": "ahmetemirakdogan/spatiotemporal-transformer-edge-aware-attention", "kernel_id": "117595940"}, {"ref": "atharvav75/nfl-eda", "kernel_id": "124888835"}, {"ref": "neel999/nfl-bdb26-submit", "kernel_id": "125714416"}, {"ref": "mattpla/read-geometry-to-trajectory", "kernel_id": "134071020"}]}
{"competition_id": "114250", "kernels": [{"ref": "maschill/nfl-bdb-2026", "kernel_id": "93570572"}, {"ref": "ajaysamp/nfl-big-data-bowl-2026-eda-upgraded", "kernel_id": "93533152"}, {"ref": "ajaysamp/physics-football-features-eda-updated", "kernel_id": "93952108"}, {"ref": "stpeteishii/nfl-2026-track-animator", "kernel_id": "93243919"}, {"ref": "saibalpatra/nfl-big-data-bowl-2026-analytics-001", "kernel_id": "93811016"}, {"ref": "antoinejunot/nfl-2k26-eda", "kernel_id": "93508052"}, {"ref": "taylorsamarel/eda-model-video-3d-video", "kernel_id": "93107779"}, {"ref": "taylorsamarel/moderngl-3d-example", "kernel_id": "93362548"}, {"ref": "dylanmoraes/nfl-eda-model-training", "kernel_id": "93356407"}, {"ref": "anthonytherrien/nfl-2026-eda-base", "kernel_id": "93367249"}, {"ref": "ombhorkade/notebookc83c6b5de8", "kernel_id": "93523027"}, {"ref": "jamessarker060795/notebook4ab68711db", "kernel_id": "93131010"}, {"ref": "joysriramsarkar/big-data-bowl", "kernel_id": "93169866"}, {"ref": "dedquoc/nfl-bdb-2026-player-tracking-animation-v1", "kernel_id": "94782938"}, {"ref": "anwarabualhussien/the-race-to-the-spot-a-new-framework-for-evaluati", "kernel_id": "94807185"}, {"ref": "yashmajithia/qbic-qb-confidence-index", "kernel_id": "94778349"}, {"ref": "derfansyahgk/eda-analysis-nfl", "kernel_id": "94894842"}, {"ref": "adrienthomas/nfl-big-data-bowl-2026-analytics", "kernel_id": "94944874"}, {"ref": "taboutmhamed/nfl-bdb2026-analytics-aa-cwc-v0", "kernel_id": "95065520"}, {"ref": "taboutmhamed/nfl-bdb2026-aa-cwc-v6", "kernel_id": "95827757"}, {"ref": "mohammedshammeer/nfl-animations-made-simple-nfl-tracks", "kernel_id": "95134666"}, {"ref": "roham1/nfl-big-data-2026-video-and-data-analysis", "kernel_id": "95087287"}, {"ref": "derfansyahgk/eda-nfl-p2", "kernel_id": "95453096"}, {"ref": "jieuna1/nfl-feature-engineering", "kernel_id": "95949637"}, {"ref": "olaflundstrom/nfl-big-data-bowl-2026-air-yards-efficiency-index", "kernel_id": "95394418"}, {"ref": "sarbojeetbhowmick/nfl-2026-analytics-eda-base", "kernel_id": "95217195"}, {"ref": "ryanadamsai/nfl-big-data-bowl-2026-trained-model-output-pkl", "kernel_id": "95160919"}, {"ref": "arnavgawade/university-student-nfl-prediction-updated", "kernel_id": "96109716"}, {"ref": "bharath2230/nfl-big-data-blow", "kernel_id": "96944990"}, {"ref": "mdarafat018790/towards-smarter-coverage", "kernel_id": "96366673"}, {"ref": "ryanadamsai/nfl-big-data-bowl-eda-train-vs-test", "kernel_id": "96124308"}, {"ref": "zorornoa/nfl-analytics", "kernel_id": "96795923"}, {"ref": "mokranerezkiyahoofr/nfl-big-data-bowl-2026-analytics", "kernel_id": "96559022"}, {"ref": "kushtrivedi14728/can-you-pass-the-bar-ball-in-air-race", "kernel_id": "97181274"}, {"ref": "vishakhsandwar/modeling-with-transformers-2026", "kernel_id": "97286538"}, {"ref": "vishakhsandwar/sumersports-supplement-investigation", "kernel_id": "97440493"}, {"ref": "manish5323/nfl-bigdatabowl-2026-analytics", "kernel_id": "97246799"}, {"ref": "csthompsos/putting-it-together", "kernel_id": "97462220"}, {"ref": "yashvasudeva/nfl-big-databowl", "kernel_id": "97079809"}, {"ref": "arnavgawade/notebookpart2nfl", "kernel_id": "97574863"}, {"ref": "calebdulaney/value-weighted-openness", "kernel_id": "97178089"}, {"ref": "bharath2230/nfl-big-data-bowl-2026-analytics", "kernel_id": "97422230"}, {"ref": "arunjohnson93/mini-analysis-exploring-nfl-play", "kernel_id": "97465446"}, {"ref": "kushtrivedi14728/nfl-big-data-bowl-agnostic-visualization-library", "kernel_id": "98090893"}, {"ref": "derfansyahgk/eda-nfl-p3", "kernel_id": "98584936"}, {"ref": "shagunkaran1/gap-closing-rate-completions", "kernel_id": "98839587"}, {"ref": "qudsiyasiddique/nfl-data-analysis", "kernel_id": "98611383"}, {"ref": "fissalalsharef/nfl-big-data-bowl-2026-eraser-framework", "kernel_id": "99906771"}, {"ref": "camjohnsen/zone-positioning-advantage-zpa", "kernel_id": "99172898"}, {"ref": "macauleydeverin/nfl-big-data-bowl-2026-ball-hawk-index", "kernel_id": "99785235"}, {"ref": "avinash134686/nfl-big-data-bowl-2026-complete-analysis", "kernel_id": "100682046"}, {"ref": "vladimirnasalciuc/notebook24801dba1a", "kernel_id": "100824972"}, {"ref": "hazembouzidi/the-catch-window-quantifying-receiver-advantage", "kernel_id": "100042976"}, {"ref": "rushnp18/pre-snap-alignment-receiver-separation", "kernel_id": "100005532"}, {"ref": "harshetanand/ball-tracking-analysis", "kernel_id": "101147663"}, {"ref": "muru98/notebook0cc4f469e7", "kernel_id": "101439952"}, {"ref": "ashutoshshirsat/nfl-2026-eda-separation-metric-tr-and-qb", "kernel_id": "101003461"}, {"ref": "annabusatto/defenders-analysis", "kernel_id": "101574646"}, {"ref": "lawalgiyath12/the-panic-index-out-of-phase-speed", "kernel_id": "101683615"}, {"ref": "chiragmc/notebook518722589f", "kernel_id": "101649575"}, {"ref": "oscarmedina7/wr-db-separation-dynamics-study", "kernel_id": "101541540"}, {"ref": "caitlinree1/dynamic-simulated-completion-probability", "kernel_id": "101025881"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "gssreshta/notebook4ab68711db", "kernel_id": "101884808"}, {"ref": "gssreshta/eda-model-video-3d-video-a6984c", "kernel_id": "101886623"}, {"ref": "gssreshta/eda-model-video-3d-video", "kernel_id": "101885914"}, {"ref": "matteastonn/quantifying-defensive-back-transition-timing-ipynb", "kernel_id": "101316474"}, {"ref": "samerattrah/nfl-manual-training", "kernel_id": "102114799"}, {"ref": "rohanvt/nfl-big-data-bowl-2026-advith-rohan", "kernel_id": "102763846"}, {"ref": "sachin1927/nfl-big-data-bowl-2026", "kernel_id": "102983676"}, {"ref": "sachinrocco/the-d-cr-score-quantifying-defensive-kinematic-ef", "kernel_id": "102239257"}, {"ref": "okeoluwanifemi/nfl-prediction", "kernel_id": "102008921"}, {"ref": "riishilmmehta/notebook83b874a8e6", "kernel_id": "102884755"}, {"ref": "barnabsvalk/primary-defender-break-score", "kernel_id": "102160703"}, {"ref": "tvmilitary/nfl-big-data-bowl-6-cell-starter-baseline", "kernel_id": "102775121"}, {"ref": "skdeshpande91/bayesian-dynamic-completion-probabilities", "kernel_id": "103923576"}, {"ref": "vailii/nfl-bdb-2026-gpu-v2", "kernel_id": "103597727"}, {"ref": "sa0301/output-w-nit-final", "kernel_id": "103323235"}, {"ref": "samerattrah/nfl-analytics-visualizations-ipynb", "kernel_id": "103678404"}, {"ref": "mrrobot7777/nfl-movement-prediction-2026-eda-results", "kernel_id": "103659067"}, {"ref": "abobakrosman87/notebookb79b5b52a2", "kernel_id": "103225523"}, {"ref": "edoardoberardi/nfl-2026-competition-pass-outcome-probability", "kernel_id": "103722261"}, {"ref": "thomasreedy/nfl-big-data-bowl-submission", "kernel_id": "103279143"}, {"ref": "jorgeacn/nfl-big-data-csoe", "kernel_id": "103199016"}, {"ref": "valofilsgmailcom/nfl-analytics-ambratis", "kernel_id": "103647593"}, {"ref": "joeshwoageorge/nfl-big-data-bowl-2026-analytics", "kernel_id": "103584943"}, {"ref": "anthonydolata/final-big-data-bowl", "kernel_id": "103780822"}, {"ref": "lucastetrault/nfl-big-data-bowl-phase-3", "kernel_id": "103088245"}, {"ref": "ryanadamsai/nfl-bdb26-analytics-player-visualizations", "kernel_id": "103393425"}, {"ref": "rajroy008/nfl-analysis", "kernel_id": "103984375"}, {"ref": "aliiihussain/nfl-big-data-bowl-2026-the-analytics-playbook", "kernel_id": "103407776"}, {"ref": "adamkovariu/custom-coverage-lab", "kernel_id": "103510117"}, {"ref": "mkulynych/hit-em-in-stride-final", "kernel_id": "103507014"}, {"ref": "carsonmohler1/bdb-code-3", "kernel_id": "103525746"}, {"ref": "joshgaughan/2026-big-data-bowl-submission", "kernel_id": "103109851"}, {"ref": "arnavmishra02/notebook61fb693714", "kernel_id": "103758902"}, {"ref": "arnavmishra02/notebook109f7da320", "kernel_id": "103750732"}, {"ref": "bradbakert/brad-baker-bdb-entry-3rd-and-long", "kernel_id": "103889454"}, {"ref": "hansikagunasekara/nfl-big-data-2026-analytics-catch-probability", "kernel_id": "104713439"}, {"ref": "benrosenkranz/rcpa-introduction-bdb-2026", "kernel_id": "104638040"}, {"ref": "dhdzmota/dominance-index", "kernel_id": "104229252"}, {"ref": "vinitkp/r-nfl-analysis", "kernel_id": "104071413"}, {"ref": "taboutmhamed/nfl-big-data-bowl-2026-complete-151225", "kernel_id": "104574270"}, {"ref": "taboutmhamed/nfl-kaggle-with-images", "kernel_id": "104310681"}, {"ref": "taboutmhamed/nfl-big-data-bowl-2026-complete", "kernel_id": "104293847"}, {"ref": "taboutmhamed/nfl-big-data-bowl-2026-complete-v2", "kernel_id": "104464883"}, {"ref": "taboutmhamed/nfl-kaggle-ready-improved-v2", "kernel_id": "104135800"}, {"ref": "taboutmhamed/nfl-kaggle-all-visualizations-v2", "kernel_id": "104097653"}, {"ref": "samdaltonjr/create-broadcast-videos", "kernel_id": "104808357"}, {"ref": "samdaltonjr/closure-ratio-analysis", "kernel_id": "104796490"}, {"ref": "letemoin/catch-point-battle-v2", "kernel_id": "104817728"}, {"ref": "benjenkins96/winning-the-air-war", "kernel_id": "104698946"}, {"ref": "sriyazhinidevi/nfl-big-data-bowl", "kernel_id": "104605957"}, {"ref": "vailii/nfl-bdb-2026-writeup", "kernel_id": "104270942"}, {"ref": "thomasgermano/cufb-to-throw-or-not-to-throw", "kernel_id": "104585086"}, {"ref": "tomschubert/nfl-2026-analytics", "kernel_id": "104590514"}, {"ref": "narwhalof7/nflkag", "kernel_id": "104571216"}, {"ref": "nanakowusuafriyie/nfl-big-data-bowl-2026-pass-play-analysis", "kernel_id": "104134969"}, {"ref": "brennenbruch/measuring-receiver-route-execution-with-dtw", "kernel_id": "104791598"}, {"ref": "victortlaes/nfl-metric-rae", "kernel_id": "104809271"}, {"ref": "anchando/oop-picking-the-optimal-receiver", "kernel_id": "104575169"}, {"ref": "rishisangare3874628/exploratory-pressure-analysis", "kernel_id": "104787226"}, {"ref": "rishisangare3874628/route-specific-throw-timing-analysis", "kernel_id": "104682428"}, {"ref": "mr0106/nfl-big-data-bowl-2026", "kernel_id": "104382287"}, {"ref": "mr0106/nfl-big-data-bowl-2026-1", "kernel_id": "104387410"}, {"ref": "drewshayotovich/catching-through-chaos", "kernel_id": "104726414"}, {"ref": "kgalsky/react-big-data-bowl-2026-analytics", "kernel_id": "104673781"}, {"ref": "ashutoshshirsat/prethrow-pressure-diagnose", "kernel_id": "104766051"}, {"ref": "jptbradshaw/big-data-bowl-2026-effective-safety-range", "kernel_id": "104814136"}, {"ref": "mscoop16/judge-ing-aggressive-defensive-back-coverage", "kernel_id": "104790856"}, {"ref": "shivaan04/sky-vision-notebook", "kernel_id": "104810808"}, {"ref": "sshah30/path-against-the-pass", "kernel_id": "104552921"}, {"ref": "swifty10/sam-swift-big-data-bowl-submission-2026", "kernel_id": "104743934"}, {"ref": "xaviernjoku/perfect-timing", "kernel_id": "104571205"}, {"ref": "pez2120/limpieza", "kernel_id": "104598747"}, {"ref": "ajabkhan21/notebookac94234afe", "kernel_id": "104896238"}, {"ref": "ajabkhan21/notebook1463d68aad", "kernel_id": "104901801"}, {"ref": "apoorvpandey048/nfl-big-data-bowl-2026-analytics", "kernel_id": "104428186"}, {"ref": "anthonydolata/big-data-bowl-anthony-dolata-evan-berger", "kernel_id": "104573424"}, {"ref": "thesukuna/nfl-big-data-bowl-26-the-anatomy-of-separation", "kernel_id": "104548039"}, {"ref": "nancyhersh/will-he-make-the-catch-notebook", "kernel_id": "104306896"}, {"ref": "harshgupta4444/nfl-2026-the-pass-coverage-control-pcc-model", "kernel_id": "104438715"}, {"ref": "samikshasaithogeti/sami-nfl-big-data-bowl", "kernel_id": "104734913"}, {"ref": "maxrotblut/predicting-yac-from-separation", "kernel_id": "104803172"}, {"ref": "vladimirnasalciuc/bcs-nfl-2026-ball-convergence-analytics-for-elite", "kernel_id": "104807982"}, {"ref": "ajsuresh08/dynamic-coverage-probability", "kernel_id": "104737999"}, {"ref": "tomaszslapczynski/nfl-2026", "kernel_id": "104685947"}, {"ref": "georgemuma/the-battle-during-ball-flight", "kernel_id": "104276175"}, {"ref": "nguyensimon186/cwcr-measuring-defensive-space-closure", "kernel_id": "104353994"}, {"ref": "rodrigodog/geometric-advantage-in-flight-gai", "kernel_id": "104799153"}, {"ref": "nevawilliams/wr-performance-metrics", "kernel_id": "104814754"}, {"ref": "meganhunt12/receiver-evaluation-score", "kernel_id": "104568141"}, {"ref": "parisspiliotis/anticipation-factor-markdown", "kernel_id": "104810844"}, {"ref": "parisspiliotis/air-pass-and-lead", "kernel_id": "104805367"}, {"ref": "parisspiliotis/abhmbmb", "kernel_id": "104808908"}, {"ref": "georgemhayward/ball-hawk-score-final", "kernel_id": "104776695"}, {"ref": "ralarcosmartnez/finding-optimal-wide-receiver-routes-using-player", "kernel_id": "104789582"}, {"ref": "ngarai/big-data-bowl-26", "kernel_id": "104746586"}, {"ref": "bruhomo/field-control-gain-at-landing", "kernel_id": "104577879"}, {"ref": "loyisongcobo/new-big-bowl", "kernel_id": "104478434"}, {"ref": "mrclorio/limpieza", "kernel_id": "104740454"}, {"ref": "bulkymaverick/interpretable-analysis-of-player-movement", "kernel_id": "104505852"}, {"ref": "jackkaye27/2026-nfl-big-data-bowl", "kernel_id": "104409677"}, {"ref": "yashkalpeshshah1196/pursuit-efficiency-index-team-sit", "kernel_id": "104315878"}, {"ref": "sowmyasri0130/nfl-analytics15", "kernel_id": "104515806"}, {"ref": "atulvenkatesh/big-data-bowl-final-final", "kernel_id": "104669085"}, {"ref": "frootlupz/the-geometry-of-intent-interactive-dashboard", "kernel_id": "104674458"}, {"ref": "tmscreations/notebook89f2075cde", "kernel_id": "104450174"}, {"ref": "insensible1/12345", "kernel_id": "104803657"}, {"ref": "eugenebade/nfl-big-data-bowl-2026-analytics", "kernel_id": "104729397"}, {"ref": "hasnain201/nfl-bigdatabowl-2026-analytics", "kernel_id": "104438905"}, {"ref": "ibraheemalani/nfl-analysis", "kernel_id": "104527207"}, {"ref": "rudra070311/big-bowl-nfl", "kernel_id": "104764746"}, {"ref": "anuraggupta2006/airconquest-feature-engineering-model-visuals", "kernel_id": "104286601"}, {"ref": "hidayathullahs/quantifying-mid-air-leverage-shift-mals", "kernel_id": "104746480"}, {"ref": "mmp2123/the-wizards-code", "kernel_id": "104723197"}, {"ref": "joeyvignali/lead-metric", "kernel_id": "104718986"}, {"ref": "jonasscheffler/click-and-close-safety-instincts", "kernel_id": "104677415"}, {"ref": "ohadosi/readydos-nfl-big-data-bowl-2026", "kernel_id": "106563443"}, {"ref": "shambhaviadhikari07/nfl-code", "kernel_id": "109110942"}, {"ref": "leandro357/nfl-big-data-bowl", "kernel_id": "114102661"}, {"ref": "ppj1981/notebooke21bf53736", "kernel_id": "115134389"}, {"ref": "vmoranv/nfl-bdb-2026-the-race-to-the-ball", "kernel_id": "121471011"}, {"ref": "cburnett120/nfl-winning-factors-offensive-game-script", "kernel_id": "131201205"}]}
{"competition_id": "114297", "kernels": [{"ref": "albertojohn/eda264b84e77f", "kernel_id": "96013250"}]}
{"competition_id": "114301", "kernels": [{"ref": "suhailab/ar-worflow", "kernel_id": "91663180"}]}
{"competition_id": "114397", "kernels": [{"ref": "ambrosm/cbtd-baseline-submission", "kernel_id": "92083570"}, {"ref": "bigdatasmallhead/my-first-attempt", "kernel_id": "92308290"}, {"ref": "ambrosm/cbtd-bioclip-embeddings", "kernel_id": "102836886"}, {"ref": "ambrosm/cbtd-1-winning-model", "kernel_id": "104300404"}]}
{"competition_id": "114430", "kernels": []}
{"competition_id": "114450", "kernels": [{"ref": "ankit02yadav/house-price-pred-ankit02yadav", "kernel_id": "92492580"}]}
{"competition_id": "114454", "kernels": []}
{"competition_id": "114463", "kernels": [{"ref": "stpeteishii/diamond-price-lgbm-w-optuna-kfold", "kernel_id": "91840735"}, {"ref": "stpeteishii/diamond-price-xgb-w-optuna-kfold", "kernel_id": "91967676"}, {"ref": "cid007/diamonds-eda-and-bl", "kernel_id": "91877229"}, {"ref": "wguesdon/xgb-lgbm-catboost-hill-climb", "kernel_id": "91533997"}, {"ref": "wordcards/price-of-diamond-outliers", "kernel_id": "91885787"}, {"ref": "swas06/diamondprediction-modelling", "kernel_id": "91911209"}, {"ref": "swas06/diamondprediction-eda", "kernel_id": "91734766"}, {"ref": "ravi20076/diamond-public-baseline-v1", "kernel_id": "91538479"}, {"ref": "ravi20076/diamond-public-imports-v1", "kernel_id": "91538096"}, {"ref": "taylorsamarel/v4-model-zoo-starter-notebook", "kernel_id": "91654962"}, {"ref": "khoatran311/baseline-elastic-net-model", "kernel_id": "91562936"}, {"ref": "masayakawamata/diamond-orig-synthetic-difference", "kernel_id": "91600770"}, {"ref": "masayakawamata/diamond-xgb-orig-submitted-score-no-orig", "kernel_id": "91547723"}, {"ref": "masayakawamata/diamond-hill-climb", "kernel_id": "91552376"}, {"ref": "masayakawamata/diamond-xgb-seed-comparison", "kernel_id": "91955011"}, {"ref": "masayakawamata/diamond-xgb-train-k-orig", "kernel_id": "91880498"}, {"ref": "mikhailnaumov/price-of-diamond-ensemble", "kernel_id": "91968642"}, {"ref": "yashdev01/predicting-the-price-of-diamond", "kernel_id": "91614728"}, {"ref": "omidbaghchehsaraei/diamond-price-fastai-cv-0-6533-lb-0-6683", "kernel_id": "92651417"}, {"ref": "omidbaghchehsaraei/tabm-diamond-price-prediction-cv-0-66074", "kernel_id": "92392568"}, {"ref": "omidbaghchehsaraei/tabpfn-for-diamond-price-prediction-cv-0-6591", "kernel_id": "92151526"}, {"ref": "aryasatyagalen/catboost-gridsearchcv", "kernel_id": "92763837"}, {"ref": "yashdev01/diamond-price-prediction-cv-0-66113", "kernel_id": "92448690"}, {"ref": "ankit02yadav/diamonds-price-pred-xgbregressor-0-643", "kernel_id": "92634984"}, {"ref": "ishitabahamnia/notebook8f2a783bdc", "kernel_id": "93942292"}, {"ref": "metamodels/7th-place-lightgbm-cv-0-6635-pvt-0-6632", "kernel_id": "93998093"}, {"ref": "omarbm52/predict-a-diamond-price", "kernel_id": "93317132"}, {"ref": "unseenuser/simple-lightgbm-high-private-score-0-6637", "kernel_id": "94026033"}]}
{"competition_id": "114464", "kernels": []}
{"competition_id": "114477", "kernels": []}
{"competition_id": "114478", "kernels": []}
{"competition_id": "114558", "kernels": []}
{"competition_id": "114566", "kernels": [{"ref": "annachen1228/hw1-instruction-classifier", "kernel_id": "91626059"}]}
{"competition_id": "114574", "kernels": [{"ref": "suhailab/mapple-a-2", "kernel_id": "91823401"}]}
{"competition_id": "114578", "kernels": [{"ref": "mrabhishekpandey/vision-solution", "kernel_id": "94636681"}, {"ref": "adityagururani/computer-vision", "kernel_id": "94129745"}, {"ref": "nikhyadav/carnivalvision", "kernel_id": "94638684"}, {"ref": "keshavrajaraman/kopium-final-model", "kernel_id": "94636817"}, {"ref": "abhayondata/vision-solution", "kernel_id": "123008398"}]}
{"competition_id": "114591", "kernels": [{"ref": "pearcatcher/cayleypy-transposons-first-steps", "kernel_id": "92839423"}, {"ref": "lilylialu/starter-exploration-demo-notebook", "kernel_id": "92915632"}, {"ref": "mehrankazeminia/1-transposons-moves-binary-split", "kernel_id": "97806298"}]}
{"competition_id": "114596", "kernels": []}
{"competition_id": "114671", "kernels": []}
{"competition_id": "114675", "kernels": [{"ref": "miraclelpx/teacher-example-cnn-for-cifar-10", "kernel_id": "91697023"}, {"ref": "ifanhuo/cnn-cifar10-125071910018", "kernel_id": "94563611"}, {"ref": "silencexs/example-by-teacher-cnn", "kernel_id": "102525715"}, {"ref": "yunnahua/cifar10-resnet-18", "kernel_id": "104334896"}]}
{"competition_id": "114691", "kernels": []}
{"competition_id": "114765", "kernels": []}
{"competition_id": "114768", "kernels": [{"ref": "gollapallihemalatha/bankcustomerchurnpredicton", "kernel_id": "105680955"}]}
{"competition_id": "114919", "kernels": []}
{"competition_id": "115000", "kernels": [{"ref": "samudraneel05/carnivalrisk1", "kernel_id": "93388529"}, {"ref": "adityaprtap/carnival", "kernel_id": "93470857"}, {"ref": "madhavgaba02/codesangam", "kernel_id": "93958024"}, {"ref": "abhish3ksharma/notebook09641b9eb7", "kernel_id": "93514512"}, {"ref": "shourya2006/notebook23d04f283d", "kernel_id": "94554935"}, {"ref": "pranjalgupta2909/kagp-naiveboys", "kernel_id": "94699521"}, {"ref": "adityagururani/question-1", "kernel_id": "94078551"}, {"ref": "piyushgarg210106/riska", "kernel_id": "94669079"}, {"ref": "nihiraraj/notebook21adc77dcc", "kernel_id": "94346641"}, {"ref": "nikhyadav/risk-analytics", "kernel_id": "94605519"}, {"ref": "parthkamleshkumar/carnival-risk-final", "kernel_id": "94637093"}, {"ref": "ayushshrivastava2530/carnival-risk-lr", "kernel_id": "94664912"}, {"ref": "shabbeermohammed/notebook9c28a9445a", "kernel_id": "94665960"}, {"ref": "abhayondata/tricksters", "kernel_id": "95052930"}]}
{"competition_id": "115012", "kernels": []}
{"competition_id": "115013", "kernels": []}
{"competition_id": "115026", "kernels": [{"ref": "arkadey04/lord-of-the-pings-ps2", "kernel_id": "93707249"}, {"ref": "adityaprtap/predicting-euphoria", "kernel_id": "94515030"}, {"ref": "shourya2006/notebook589e567b44", "kernel_id": "94520721"}, {"ref": "manikdevazad/final-approach", "kernel_id": "94648974"}, {"ref": "abhayondata/team-tricksters", "kernel_id": "94652644"}, {"ref": "piyushgarg210106/onelasttry", "kernel_id": "94668015"}, {"ref": "nikhyadav/euphoria", "kernel_id": "94460747"}, {"ref": "abhish3ksharma/notebook873afeddc9", "kernel_id": "94625739"}, {"ref": "ayushshrivastava2530/carnival-euphoria-lr", "kernel_id": "94667231"}, {"ref": "aakarshitsingh31/question-2", "kernel_id": "94579225"}]}
{"competition_id": "115040", "kernels": [{"ref": "fedmug/notebook7b9501f60c", "kernel_id": "92056852"}, {"ref": "avm888/cayleypy-sample-submission", "kernel_id": "92011070"}, {"ref": "ani3221/notebook634811d52f", "kernel_id": "92009942"}, {"ref": "mehrankazeminia/1-glushkov-moves-binary-split", "kernel_id": "98213516"}]}
{"competition_id": "115042", "kernels": []}
{"competition_id": "115052", "kernels": []}
{"competition_id": "115104", "kernels": [{"ref": "antonmartysevich/21vek", "kernel_id": "93074934"}, {"ref": "katerynaklitsunova/searched-products-ranking-lgbm", "kernel_id": "94108627"}, {"ref": "maximbabak/notebookb31977ce22", "kernel_id": "96473922"}]}
{"competition_id": "115118", "kernels": [{"ref": "tadeocasiraghi/starter-notebook", "kernel_id": "92160334"}, {"ref": "trinidadm/starter-notebook", "kernel_id": "92152647"}]}
{"competition_id": "115175", "kernels": [{"ref": "crisdago18/codigo-base", "kernel_id": "92905075"}]}
{"competition_id": "115176", "kernels": [{"ref": "mitchell11/cayleypy-christopher-s-jewel-first-steps", "kernel_id": "92177861"}, {"ref": "obkyrush/cayleypy-cube-baseline-solution", "kernel_id": "93411822"}, {"ref": "kieserel/non-random-walks-for-cj", "kernel_id": "93577886"}, {"ref": "mehrankazeminia/1-jewel-replacing-moves", "kernel_id": "93938507"}, {"ref": "kodurd/word-model-chrisopher-s-jewel", "kernel_id": "93433340"}, {"ref": "rokham/beam-search-with-cayleypy-370a25", "kernel_id": "94277385"}, {"ref": "kieserel/barholdi-diameter-weird-states", "kernel_id": "94264130"}, {"ref": "kieserel/bartholdi-diameter", "kernel_id": "94211905"}, {"ref": "kieserel/beam-search-data-on-distant-states", "kernel_id": "94115814"}, {"ref": "armandarbin/cayleypy-cube-baseline-solution", "kernel_id": "94131764"}, {"ref": "hauq71va16vqin/d-christoph-of-d-fd135a-beam-search-with-cayleypy", "kernel_id": "94639280"}, {"ref": "kieserel/dead-ends-search", "kernel_id": "95003194"}, {"ref": "egorpeters/beam-search-with-cayleypy-via-beamsearch-mlp", "kernel_id": "96717778"}, {"ref": "alinagavrilova/beam-search", "kernel_id": "96820784"}, {"ref": "kieserel/dead-ends-search-with-rl-2", "kernel_id": "97240308"}, {"ref": "anastasiiaboikova/notebook770f019fd1", "kernel_id": "97551423"}, {"ref": "kieserel/comparative-deadend-search-for-various-puzzles", "kernel_id": "98606855"}, {"ref": "stanislavkrymskii/group-order-sympy-for-christofer-jewel", "kernel_id": "98733692"}, {"ref": "alinagavrilova/cayleypy-models", "kernel_id": "101059526"}, {"ref": "stanislavkrymskii/beam-search-with-cayleypy-2", "kernel_id": "102152205"}, {"ref": "alexandervc/cayleypy-rw-model-christopher-jewel", "kernel_id": "116742917"}, {"ref": "artgor/cayleypy-rw-christopher-jewel-mlp-m05", "kernel_id": "117051086"}, {"ref": "artgor/cayleypy-rw-christopher-jewel-cnn-models", "kernel_id": "117056690"}, {"ref": "paulkrivenko/cayleypy-rw-model-christopher-jewel", "kernel_id": "117514631"}, {"ref": "vladkuznetsov266/improved-cayleypy-18-gap-of-optimal-in-200-lines", "kernel_id": "117456520"}, {"ref": "miseregin/transformer-value-model-cj-tpu-predict-50-r1", "kernel_id": "119034215"}, {"ref": "fedmug/cayleypy-christopher-jewel-beam-width", "kernel_id": "130569691"}, {"ref": "fedmug/cayleypy-cj", "kernel_id": "130571327"}]}
{"competition_id": "115188", "kernels": [{"ref": "elianabrand/99-modelo-soluci-n", "kernel_id": "102733791"}]}
{"competition_id": "115193", "kernels": []}
{"competition_id": "115202", "kernels": []}
{"competition_id": "115211", "kernels": [{"ref": "yunsuxiaozi/srpv3-lgb-baseline-valid-0-0802", "kernel_id": "115601725"}, {"ref": "yunsuxiaozi/srpv3-leak-just-for-fun", "kernel_id": "120742940"}]}
{"competition_id": "115212", "kernels": [{"ref": "bigdatasmallhead/starter-notebook", "kernel_id": "92264560"}]}
{"competition_id": "115216", "kernels": []}
{"competition_id": "115267", "kernels": [{"ref": "k224143aadilraja/fcv-proj-latest", "kernel_id": "116111022"}, {"ref": "syedmohdhuzaifa18/baseline-dinov2-aliked-lightglue", "kernel_id": "117880829"}, {"ref": "k224367ayanhasan/testing-dinov2-aliked-lightglue", "kernel_id": "117998165"}, {"ref": "rameenraees/image-matching-challenge-by-rameen", "kernel_id": "118188168"}, {"ref": "k224367ayanhasan/fcv-attempt", "kernel_id": "118150608"}, {"ref": "firzouqazam/fcv-project", "kernel_id": "119022293"}]}
{"competition_id": "115378", "kernels": [{"ref": "hmnshudhmn24/track2-large-model-inference-optimization", "kernel_id": "107677026"}, {"ref": "abrar2027/notebook379c1b8306", "kernel_id": "116824906"}]}
{"competition_id": "115379", "kernels": []}
{"competition_id": "115399", "kernels": []}
{"competition_id": "115401", "kernels": []}
{"competition_id": "115405", "kernels": []}
{"competition_id": "115576", "kernels": [{"ref": "rokham/pancake-problem-baseline-submission", "kernel_id": "92545226"}, {"ref": "plut0n/cayley-baseline-with-neural-network", "kernel_id": "94238284"}, {"ref": "plut0n/cayley-dqn", "kernel_id": "97065427"}, {"ref": "mehrankazeminia/14-pancake-replacing-moves-s100", "kernel_id": "97312003"}, {"ref": "mehrankazeminia/1-pancake-main-set", "kernel_id": "97079344"}, {"ref": "kirilllazutkin/base-solution", "kernel_id": "97294520"}, {"ref": "miseregin/test-lr-vs-quality", "kernel_id": "109607011"}, {"ref": "miseregin/cayleypy-beam-search-x5-speed-up-on-t4-gpu", "kernel_id": "109195262"}, {"ref": "alexandervc/cayleypy-pancake-meetinthemiddle-solve-small-n", "kernel_id": "111432660"}, {"ref": "alexandervc/cayleypy-pancake-beamsearch-hamming", "kernel_id": "111502451"}, {"ref": "alexandervc/cayleypy-pancake-bfs-solve-small-n", "kernel_id": "111349721"}, {"ref": "alexandervc/cayleypy-pancake-eda", "kernel_id": "111324403"}]}
{"competition_id": "115590", "kernels": []}
{"competition_id": "115624", "kernels": []}
{"competition_id": "115625", "kernels": []}
{"competition_id": "115650", "kernels": [{"ref": "aisuko/mel-testing-c4", "kernel_id": "95688454"}, {"ref": "kritiy/mel-optivus-c4-py", "kernel_id": "95698328"}, {"ref": "langtubuivippro/mel-cybergenies-c2", "kernel_id": "95696671"}, {"ref": "michaelsemenoff/quick-ensemble-models", "kernel_id": "95675445"}, {"ref": "zuydang/hanoi-emptyqueue-c2", "kernel_id": "95736701"}, {"ref": "zuydang/hanoi-emptyqueue-c4", "kernel_id": "95747621"}, {"ref": "trnnamnhtanh/hanoi-rizzgpt-c4", "kernel_id": "95746439"}, {"ref": "trnnamnhtanh/hanoi-rizzgpt-c2", "kernel_id": "95745957"}, {"ref": "thuanle27/sgs-capybaratalentforce-c4temp", "kernel_id": "95746443"}, {"ref": "quochungcyou/hanoi-ptitnemnuong-c4", "kernel_id": "95750333"}, {"ref": "quochungcyou/hanoi-ptitnemnuong-c1", "kernel_id": "95746887"}, {"ref": "quochungcyou/hanoi-ptitnemnuong-c2", "kernel_id": "95747026"}, {"ref": "hongminhu/mel-cybergenies-c4", "kernel_id": "95691330"}, {"ref": "aaronpham/sgs-3-ers-c2", "kernel_id": "95709979"}, {"ref": "hainguyen1234/sgs-beem-c1", "kernel_id": "95723512"}, {"ref": "hunhthidng04/sgs-keen2dare-c4", "kernel_id": "95744245"}, {"ref": "tmquang/sgs-twentypotatoes-c4", "kernel_id": "95731541"}, {"ref": "kysho55/sgs-gdu-k-m40is4u-c4", "kernel_id": "95742806"}, {"ref": "ktreal/sgs-myway-c1", "kernel_id": "95700569"}, {"ref": "ktreal/sgs-myway-c4", "kernel_id": "95729218"}, {"ref": "kimmmm123/sgs-xaycon-c1", "kernel_id": "95696014"}, {"ref": "ely12333/sgs-zipline-c2", "kernel_id": "95741737"}, {"ref": "ely12333/sgs-zipline-c4", "kernel_id": "95734805"}, {"ref": "ely12333/sgs-zipline-c1", "kernel_id": "95694475"}, {"ref": "hctingnht/hanoi-breakaleg-c2", "kernel_id": "95727089"}, {"ref": "nhilethithu/hanoi-2nvm-c4", "kernel_id": "95742785"}, {"ref": "nhilethithu/notebooka3fa28fd65", "kernel_id": "95743800"}, {"ref": "jackydo2005/hochiminh-ftech-c4", "kernel_id": "95715148"}, {"ref": "phuchacao/sgs-heinotee-c1", "kernel_id": "95740291"}, {"ref": "phuchacao/sgs-heinotee-c4", "kernel_id": "95726749"}, {"ref": "aiyasuhall/sgs-xaycon-c4", "kernel_id": "95723759"}, {"ref": "hunhcgiatn/mel-trumbaomat-c4", "kernel_id": "95716311"}, {"ref": "phongviet/hanoi-breakaleg-c4", "kernel_id": "95715578"}, {"ref": "luongchibach/hanoi-4knights-c4", "kernel_id": "95739384"}, {"ref": "cheltran27/onlyprompts-c4", "kernel_id": "95741391"}, {"ref": "meownosaur/sgs-softai-c4", "kernel_id": "95735319"}, {"ref": "trnhquangminh/sg-rmit-uia", "kernel_id": "95748904"}, {"ref": "trnhquangminh/challenge4-team-uia", "kernel_id": "95710397"}, {"ref": "adweaw/hanoi-udu-zsentinels-c4", "kernel_id": "95739954"}, {"ref": "adweaw/hanoi-udu-zsentinels-c1", "kernel_id": "95696601"}, {"ref": "inhnguynqunhhng/sgs-laughisfun-c2", "kernel_id": "95737528"}, {"ref": "inhnguynqunhhng/sgs-laughisfun-c1", "kernel_id": "95697719"}, {"ref": "inhnguynqunhhng/sgs-laughisfun-c4", "kernel_id": "95724092"}, {"ref": "thanhle2034/hanoi-udu-farmcookie-c4", "kernel_id": "95739570"}, {"ref": "zaaaynnn/mel-codesentinalpirates-c4", "kernel_id": "95716591"}, {"ref": "hiudev/hanoi-techcube-c2", "kernel_id": "95697264"}, {"ref": "hinhongch/hanoi-techcube-c4", "kernel_id": "95748602"}, {"ref": "hinhongch/test42341", "kernel_id": "95739490"}, {"ref": "mncuchiinhuttt/sgs-gaygoteam-c2", "kernel_id": "95696844"}, {"ref": "mncuchiinhuttt/sgs-gaygoteam-c4", "kernel_id": "95732099"}, {"ref": "trumpdo123/sgs-the-package-c4", "kernel_id": "95741729"}, {"ref": "giaphucnguyen20044/sgs-3-ers-c1", "kernel_id": "95697555"}, {"ref": "giaphucnguyen20044/sgs-3-ers-c4", "kernel_id": "95706589"}, {"ref": "tructrinh/sgs-cynewbie-c4", "kernel_id": "95699587"}, {"ref": "mathanghial/mel-majestic-hackers-c1", "kernel_id": "95673388"}, {"ref": "mathanghial/mel-majestic-hackers-c2", "kernel_id": "95676590"}, {"ref": "mathanghial/mel-majestic-hackers-c4", "kernel_id": "95719930"}, {"ref": "plebaotrn2005/sgs-aims-c2", "kernel_id": "95698931"}, {"ref": "plebaotrn2005/sgs-aims-c4", "kernel_id": "95723851"}, {"ref": "broccolee6653/sgs-capybaratalentforce-c4", "kernel_id": "95750597"}, {"ref": "silv123/sgs-hoa-ky-lan-c4", "kernel_id": "95738431"}, {"ref": "thinhreal/sgs-404-not-found", "kernel_id": "95729389"}, {"ref": "phanbannhatnam/sgs-thichobiet-c2", "kernel_id": "95745208"}, {"ref": "phanbannhatnam/sgs-thichobiet-c1", "kernel_id": "95697563"}, {"ref": "trungnghaphm/hanoi-muck-c2", "kernel_id": "95696767"}, {"ref": "bnhlesw/sgs-bsset-c4", "kernel_id": "95730412"}, {"ref": "hngvit12a8/sgs-chu-beo-hack-c2", "kernel_id": "95737335"}, {"ref": "hngvit12a8/sgs-chu-beo-hack-c4", "kernel_id": "95738390"}, {"ref": "dylantran254/sgs-keen2dare-c1-2", "kernel_id": "95692049"}, {"ref": "dinhan25/sgs-echohack-c4", "kernel_id": "95733200"}, {"ref": "lyns1804/uia-rmit-hackathon-challenge-2", "kernel_id": "95732859"}, {"ref": "tfedeft/sgs-chiramisuke-c4", "kernel_id": "95698261"}, {"ref": "qusyyy/sgs-thichobiet-c4", "kernel_id": "95747545"}, {"ref": "minhlm1/sgs-aw4k3n-c4", "kernel_id": "95717599"}, {"ref": "koromaki88/sgs-ntnt-c4", "kernel_id": "95741115"}, {"ref": "ngchongle/sgs-gdu-k-m40is4u-c4", "kernel_id": "95731830"}, {"ref": "hoangtree/sgs-anhtraineotet-c4", "kernel_id": "95730445"}, {"ref": "rebeccachen338/mel-the-conglomerate-of-meow-c4", "kernel_id": "95699964"}, {"ref": "datpandaa/mel-checksum-c2", "kernel_id": "95683204"}, {"ref": "vainlorat/mel-racer-c4", "kernel_id": "95678605"}, {"ref": "jakedyl/mel-checksum-c2b", "kernel_id": "95711258"}, {"ref": "anhuynhmaithien/mel-racer-c2", "kernel_id": "95673602"}, {"ref": "aqilzaneefer/mel-pikachus-c4", "kernel_id": "95672757"}, {"ref": "brynph1/mel-checksum-c4", "kernel_id": "95680830"}, {"ref": "rohancrawley/mel-deadline-haters-c4", "kernel_id": "95722099"}, {"ref": "valentinoschwarz/mel-404notfound-c-2", "kernel_id": "95691906"}, {"ref": "valentinoschwarz/mel-404notfound-c4", "kernel_id": "95678232"}, {"ref": "masterjlm06/mel-runtimeterror-c4", "kernel_id": "95709978"}, {"ref": "masterjlm06/mel-runtimeterror-c1", "kernel_id": "95696091"}, {"ref": "otman005/mel-the-trinity-c4", "kernel_id": "95714089"}, {"ref": "dameerpramanik/mel-cyberprofessionals-c2", "kernel_id": "95675927"}, {"ref": "mohammedasyed/mel-runtimeterror-c4", "kernel_id": "95712008"}, {"ref": "falahfaizal/mel-friedbananafanboys-c4", "kernel_id": "95717302"}, {"ref": "lphvih/sgs-echohack-c2", "kernel_id": "95697662"}, {"ref": "phanquynhnhu/sgs-the-rematrix-c4", "kernel_id": "95723030"}, {"ref": "phanlgiaho/sgs-to-the-moon-c4", "kernel_id": "95696898"}, {"ref": "ngucocansang/sgs-cdfulbright-c1", "kernel_id": "95696935"}, {"ref": "ngucocansang/sgs-cdfulbright-c2-test", "kernel_id": "95729604"}, {"ref": "ngucocansang/sgs-cdfulbright-c4", "kernel_id": "95742744"}, {"ref": "khinhithiu/sgs-ariesfouru-c4", "kernel_id": "95726166"}, {"ref": "ngkhoanguynb/sgs-lotduong-c4", "kernel_id": "95735422"}, {"ref": "thav2003/chanllange1-2", "kernel_id": "95726876"}, {"ref": "nguynqckhanh/sgs-aquaholicsinparis-c4", "kernel_id": "95727303"}, {"ref": "nguynqckhanh/sgs-aquaholicsinparis-c1", "kernel_id": "95698094"}, {"ref": "nguynqckhanh/sgs-aquaholicsinparis-c2", "kernel_id": "95705413"}, {"ref": "th4nhh4i/sgc-gdu-g0ld3n-kn1ght-c4", "kernel_id": "95746613"}, {"ref": "uleleulele2005/sgs-trifushion-c2-1", "kernel_id": "95700679"}, {"ref": "cooiepie4/hanoi-jet2holiday-c4", "kernel_id": "95731417"}, {"ref": "hungphantri/hanoi-m-u-c-k-c4", "kernel_id": "95736213"}, {"ref": "nalyca001/sgs-gdu-b4tt1e3-on-challenge-4", "kernel_id": "95731115"}, {"ref": "longleduyminh/sgs-cyberant-c1", "kernel_id": "95701742"}, {"ref": "longleduyminh/sgs-cyberant-c2", "kernel_id": "95704020"}, {"ref": "longleduyminh/sgs-cyberant-c4", "kernel_id": "95716399"}, {"ref": "maichil/hanoi-prometheus-c4", "kernel_id": "95750150"}, {"ref": "huykhi/sgs-gdu-unicorn-defender-c4", "kernel_id": "95741525"}, {"ref": "helloworldk24/challenge4-submission", "kernel_id": "95737461"}, {"ref": "helloworldk24/challenge4", "kernel_id": "95736383"}, {"ref": "ngchongle/gdu-train", "kernel_id": "98271358"}, {"ref": "annguyenanbatocom/testc12025", "kernel_id": "136597324"}, {"ref": "mhtuanntrn/hcm-tuan-c1", "kernel_id": "136497273"}]}
{"competition_id": "115654", "kernels": [{"ref": "duytinphmc/check-n-m", "kernel_id": "92766200"}, {"ref": "duytinphmc/b-i-t-p-l-n", "kernel_id": "92823443"}, {"ref": "xanhhong/code-n-m", "kernel_id": "93164142"}]}
{"competition_id": "115657", "kernels": [{"ref": "demostheneor/wine-quality-classification-starter-guide", "kernel_id": "92742029"}]}
{"competition_id": "115660", "kernels": [{"ref": "ngtrnthnh/ph-t-hi-n-giao-d-ch-th-t-n-d-ng-gian-l-n", "kernel_id": "92969659"}]}
{"competition_id": "115669", "kernels": [{"ref": "okblur/notebook-1-fake-news-model", "kernel_id": "127459365"}]}
{"competition_id": "115675", "kernels": [{"ref": "dovantruongzz/ph-n-lo-i-hoa", "kernel_id": "93003488"}]}
{"competition_id": "115676", "kernels": []}
{"competition_id": "115684", "kernels": []}
{"competition_id": "115686", "kernels": []}
{"competition_id": "115687", "kernels": []}
{"competition_id": "115688", "kernels": []}
{"competition_id": "115689", "kernels": []}
{"competition_id": "115693", "kernels": [{"ref": "taylorsamarel/gpt-oss-20b-spam-classification", "kernel_id": "92910217"}, {"ref": "nguynxunninh/cntt-17-09-nh-m-13", "kernel_id": "92947095"}, {"ref": "rifatnurprotyashaah/spam-message-classification", "kernel_id": "135794988"}]}
{"competition_id": "115697", "kernels": []}
{"competition_id": "115704", "kernels": []}
{"competition_id": "115708", "kernels": []}
{"competition_id": "115717", "kernels": [{"ref": "lilylialu/tugas-starter-and-exploration-notebook", "kernel_id": "92925448"}]}
{"competition_id": "115728", "kernels": []}
{"competition_id": "115733", "kernels": [{"ref": "chovyxu/multi-class-prediction-of-cirrhosis", "kernel_id": "97017225"}]}
{"competition_id": "115792", "kernels": [{"ref": "pearcatcher/cayleypy-reversals-first-steps", "kernel_id": "92901000"}, {"ref": "mehrankazeminia/1-reversals-moves-binary-split", "kernel_id": "98025318"}]}
{"competition_id": "115827", "kernels": []}
{"competition_id": "115828", "kernels": []}
{"competition_id": "115863", "kernels": [{"ref": "josepablofolch/catechol-benchmark-hackathon-template", "kernel_id": "92908109"}, {"ref": "phucco/catechol-benchmark-exploratory-data-analysis", "kernel_id": "97851395"}, {"ref": "haradibots/i-love-you", "kernel_id": "98314373"}, {"ref": "haradibots/retry", "kernel_id": "98320092"}, {"ref": "haradibots/notebookaf18046cba", "kernel_id": "98621853"}, {"ref": "haradibots/notebook1710a5b7a4", "kernel_id": "98613819"}, {"ref": "gentilless/best-work-here", "kernel_id": "98200421"}, {"ref": "omarafik/system-malfunction-v1", "kernel_id": "98447608"}, {"ref": "paritoshtripathi5/alchemy-baseline", "kernel_id": "99342862"}, {"ref": "thisanthr/notebook8e4e8e3085", "kernel_id": "100633428"}, {"ref": "matthewmaree/ens-model", "kernel_id": "101872610"}, {"ref": "amitkumargope/catechol-benchmark-hackathon-v1-4", "kernel_id": "102766351"}, {"ref": "gelinloris/data-full-xgboost-v1-lolo", "kernel_id": "102877915"}, {"ref": "nocarbonintelligence/catechol", "kernel_id": "103138573"}, {"ref": "dabansherwani/catechol-strategy-to-get-0-11161", "kernel_id": "104356592"}, {"ref": "ajabkhan21/notebook896b06c66f", "kernel_id": "104559083"}, {"ref": "ajabkhan21/notebook80438ee98e", "kernel_id": "104553287"}, {"ref": "sanidhyavijay24/arrhenius-kinetics-tta-0-09831", "kernel_id": "104274161"}, {"ref": "tobimichigan/catechol-pipeline-with-lightgbm", "kernel_id": "105988786"}, {"ref": "vladimirnasalciuc/notebook5d5f0bc69f", "kernel_id": "105973745"}, {"ref": "vladimirnasalciuc/notebook7fe46f4b32", "kernel_id": "105969620"}, {"ref": "hamzamdhatalawneh/physics-informed-neural-ensembles-for-catechol-rea", "kernel_id": "105001545"}, {"ref": "hmnshudhmn24/catechol-benchmark-hackathon-neurips-2025-dnb", "kernel_id": "105514257"}, {"ref": "mr0106/catechol-benchmark-hackathon3", "kernel_id": "106409692"}, {"ref": "mr0106/catechol-benchmark-hackathon-2", "kernel_id": "106400803"}, {"ref": "mr0106/catechol-benchmark-hackathon", "kernel_id": "106369101"}, {"ref": "mr0106/catechol", "kernel_id": "106366335"}, {"ref": "mr0106/catechol-benchmark-hackathon-nip", "kernel_id": "106397262"}, {"ref": "mr0106/catechol-benchmark-hackathon1", "kernel_id": "106388589"}, {"ref": "lakhindarpal/catechol-benchmark-hackathon-neurips-2025-dnb", "kernel_id": "106289050"}, {"ref": "avikdas567/catechol-benchmark-hackathon", "kernel_id": "106790299"}, {"ref": "sharmaviraaj/catechol-benchmark-hackathon", "kernel_id": "106733072"}, {"ref": "mengjiazhu/catechol-kinetic-informed-model-0-08846-3m44s", "kernel_id": "106520459"}, {"ref": "lishellliang/mixall-runtime-is-only-2m-15s-but-good-cv-lb", "kernel_id": "106374151"}, {"ref": "paritoshtripathi5/lb-0-08601-ensemble-preds", "kernel_id": "107105403"}, {"ref": "srushtiratnaparkhi/catechol-benchmark-hackathon-template", "kernel_id": "107118566"}, {"ref": "mengjiazhu/catechol-model-final", "kernel_id": "107071025"}, {"ref": "gaopengren/1st-place-solution", "kernel_id": "111138988"}, {"ref": "hilarionhernandez/catechol-extratrees-spange-late", "kernel_id": "128324933"}]}
{"competition_id": "115865", "kernels": []}
{"competition_id": "115924", "kernels": []}
{"competition_id": "115991", "kernels": []}
{"competition_id": "116002", "kernels": []}
{"competition_id": "116062", "kernels": [{"ref": "danmusetoiu/cafa6-esm-advanced", "kernel_id": "95750376"}, {"ref": "stpeteishii/fasta-protein-data-length-and-sequence", "kernel_id": "95344653"}, {"ref": "stpeteishii/goid-fit-predict-randomforest", "kernel_id": "95462152"}, {"ref": "stpeteishii/cafa6-data-structures", "kernel_id": "95239052"}, {"ref": "bliztafree/cafa-6-quantum-streaming", "kernel_id": "95414597"}, {"ref": "bliztafree/cafa6-fot-optimized", "kernel_id": "95547710"}, {"ref": "lolik228/eda-on-go-terms-differences-cafa5-and-cafa6", "kernel_id": "95781246"}, {"ref": "ahsuna123/eda-cafa6-pfp-interactive-dags-plotly", "kernel_id": "95221053"}, {"ref": "ahsuna123/t5-embedding-calculation-cafa-6", "kernel_id": "95215701"}, {"ref": "mpwolke/cafa6-homo-sapiens-gene-ontology", "kernel_id": "95193821"}, {"ref": "mpwolke/cafa-evaluator-attempt", "kernel_id": "95286680"}, {"ref": "tasmim/cafa-6-protein-function-prediction-comprehensive", "kernel_id": "95229527"}, {"ref": "dedquoc/cafa6-v8-gpu-baseline-esm2-8m", "kernel_id": "95326406"}, {"ref": "drhanyghazal/cafa-6-complete-exploratory-data-analysis", "kernel_id": "95486520"}, {"ref": "drhanyghazal/cafa6-phase-2-feature-engineering-ultimate", "kernel_id": "95658883"}, {"ref": "jirkaborovec/cafa6-protein-function-starter-with-eda-model", "kernel_id": "95410386"}, {"ref": "samithsachidanandan/cafa-6-protein-function-prediction-tf", "kernel_id": "95294734"}, {"ref": "franciscodelacorte/cafa-6-baseline-protein-function-prediction-using", "kernel_id": "95737602"}, {"ref": "sacuscreed/merge-of-2submission-lb-0-25", "kernel_id": "95724727"}, {"ref": "pauljef/data-analysis-cafa-6-protein-function-prediction", "kernel_id": "95638998"}, {"ref": "taylorsamarel/cafa-6-protein-function-starter-eda-model", "kernel_id": "95193180"}, {"ref": "taylorsamarel/modified-model", "kernel_id": "95559175"}, {"ref": "sasaleaf/merge-of-2submission-lb-0-25", "kernel_id": "95689416"}, {"ref": "sasaleaf/unified-dataframe-cafa-6", "kernel_id": "95933804"}, {"ref": "subarnasaikia/multi-label-dense-nn-transformer-model-lb-0-207", "kernel_id": "95403403"}, {"ref": "subarnasaikia/cafa-6-base-model-lb-0-209", "kernel_id": "95298507"}, {"ref": "subarnasaikia/combineembeddings-of-cafa5-lb-0-207", "kernel_id": "95616268"}, {"ref": "nihilisticneuralnet/starter-eda-cafa-6-protein-function-starter-nb", "kernel_id": "95192437"}, {"ref": "nihilisticneuralnet/cafa-6-submission", "kernel_id": "95194141"}, {"ref": "nihilisticneuralnet/protbert-ensemble", "kernel_id": "95270221"}, {"ref": "nihilisticneuralnet/foldseek-blastp", "kernel_id": "95271959"}, {"ref": "nihilisticneuralnet/cafa-6-t5-embeddings-with-ensemble", "kernel_id": "95272196"}, {"ref": "nihilisticneuralnet/cafa6-ems2-embeds-ensemble-pytorch", "kernel_id": "95247981"}, {"ref": "abdullah0a/esm2-embeddings-cafa6", "kernel_id": "95640485"}, {"ref": "antonoof/cafa-ensemble-0-378", "kernel_id": "95254263"}, {"ref": "luisdomingo/notebook-cafa6-eda-training", "kernel_id": "95975443"}, {"ref": "abhiraams/cafa-6", "kernel_id": "95346544"}, {"ref": "muhammadhamzamaher/cafa-6-protein-function-prediction", "kernel_id": "95574791"}, {"ref": "llkh0a/cafa6-esm2-8m-full-embedding", "kernel_id": "95361057"}, {"ref": "jarvis001122/cafa6-esm2-deepmlp-predictor", "kernel_id": "95354336"}, {"ref": "erenata/cafa-6-protein-function-prediction-eda", "kernel_id": "95242963"}, {"ref": "jieuna1/cafa6-facebook-esm2-t33-650m-ur50d-train", "kernel_id": "95304212"}, {"ref": "olaflundstrom/cafa-6-protein-fonksiyon-tahmini-eda", "kernel_id": "95606506"}, {"ref": "olaflundstrom/cafa-6-protein-function-prediction-dtu", "kernel_id": "95402739"}, {"ref": "olaflundstrom/cafa-6-protein-function-prediction", "kernel_id": "95369294"}, {"ref": "olaflundstrom/cafa-6-protein-function-prediction-dtu-proteomics", "kernel_id": "95292106"}, {"ref": "tinkledwivedi/notebook47ba01928b", "kernel_id": "95379043"}, {"ref": "momerer/cafa-6-protein-function-prediction-with-1d-cnn", "kernel_id": "95289996"}, {"ref": "gauravparkhedkar/proteinsol", "kernel_id": "95903737"}, {"ref": "analyticaobscura/cafa-6-decoding-protein-mysteries", "kernel_id": "95193188"}, {"ref": "shaheenot/embedding", "kernel_id": "95485113"}, {"ref": "wasiqaliyasir/cafa6-combined-protbert-notebook", "kernel_id": "95417302"}, {"ref": "aagtigawonmalounhar/cafa-6-model-kaggle", "kernel_id": "95293358"}, {"ref": "aagtigawonmalounhar/kaggle-nf1", "kernel_id": "95286202"}, {"ref": "aagtigawonmalounhar/kaggle-note-input", "kernel_id": "95298660"}, {"ref": "nocarbonintelligence/protein-function-exploration-embedding", "kernel_id": "95912945"}, {"ref": "nocarbonintelligence/protein-function-train-go-submit", "kernel_id": "95993952"}, {"ref": "akashvinoo/notebookedd10a104a", "kernel_id": "95359235"}, {"ref": "mtinti/extracting-esm-2-embeddings", "kernel_id": "96949293"}, {"ref": "mtinti/prediction-with-goa-uniprot-all", "kernel_id": "96390539"}, {"ref": "paolomascia/cafa-6-protein-mlp-logreg", "kernel_id": "96663456"}, {"ref": "paolomascia/cafa-6-protein-nn-optuna", "kernel_id": "96393971"}, {"ref": "qarisb/cafa-6-protein-function-prediction-cpu-baseline", "kernel_id": "96900153"}, {"ref": "evanoleary/cafa-6-fails-at-eda", "kernel_id": "96657478"}, {"ref": "sacuscreed/gaf-gz", "kernel_id": "96393781"}, {"ref": "sacuscreed/gaf-submission", "kernel_id": "96402424"}, {"ref": "sacuscreed/submission-merging", "kernel_id": "96417927"}, {"ref": "seddiktrk/cafa-6-predictions", "kernel_id": "96584453"}, {"ref": "guntasdhanjal/ultimate-cafa6-eda-go-beyond-the-data", "kernel_id": "96227851"}, {"ref": "guntasdhanjal/cafa-6-protein-optimized-parameters-0-318", "kernel_id": "96962883"}, {"ref": "socruz/protein-seq-to-function-prediction-cafa-6", "kernel_id": "96998841"}, {"ref": "husnind/cafa-6-protein-prediction-sample-baseline-model", "kernel_id": "96545721"}, {"ref": "sofiyarachkevych/cafa6-protein-function-prediction-biopython-align", "kernel_id": "96790926"}, {"ref": "hemantojha1/cafa-6-pfp", "kernel_id": "96068033"}, {"ref": "shreyashpatil217/cafa-6-protein-function-prediction", "kernel_id": "96016566"}, {"ref": "wasiqaliyasir/best-prediction-eda-of-cafa-6-pf", "kernel_id": "96097726"}, {"ref": "wasiqaliyasir/cafa-6-ensemble-score-0-312-prediction", "kernel_id": "96976432"}, {"ref": "jsganesh/cafa6-train-embedding-generation", "kernel_id": "96584164"}, {"ref": "kitmkennedy/kmk-cafa-6-protein-function-eda-model", "kernel_id": "96127799"}, {"ref": "henriquejsza/cafa-6-baseline-submission-generator", "kernel_id": "96799395"}, {"ref": "robertoulisesquiroz/resiliente2vv", "kernel_id": "96977786"}, {"ref": "lolik228/go-terms-cafa5-and-cafa6-diff", "kernel_id": "97492094"}, {"ref": "zurkin11/cafa6-submission-checker", "kernel_id": "97430769"}, {"ref": "manish756/cafa-5-fast-baseline-protein-predictor-30min", "kernel_id": "97941282"}, {"ref": "anthonytherrien/cafa-6-protein-function-blend", "kernel_id": "97890416"}, {"ref": "derfansyahgk/new-cnn-prediction", "kernel_id": "97666954"}, {"ref": "koushikkumardinda/cafa-6-protein-function-prediction", "kernel_id": "97252879"}, {"ref": "hiwe0305/cafa-6-deepfri-gnn", "kernel_id": "97495049"}, {"ref": "easterndundrey/cafa6", "kernel_id": "97040478"}, {"ref": "dhevesharun/dhevesh-cafa", "kernel_id": "97111983"}, {"ref": "xunphongtrn/cafa6-ml", "kernel_id": "97991055"}, {"ref": "andpit/cafa6-protein-function-prediction", "kernel_id": "97530874"}, {"ref": "wasiqaliyasir/cafa-6-prediction-0-32-score", "kernel_id": "97415122"}, {"ref": "wasiqaliyasir/best-prediction-cafa-6-protein", "kernel_id": "97258644"}, {"ref": "jsganesh/cafa6-test-embedding-generation", "kernel_id": "97022192"}, {"ref": "cochranj/cafa-bioshed", "kernel_id": "97560834"}, {"ref": "alizat/cafa-6-challenge-eda-feature-engineering", "kernel_id": "98285755"}, {"ref": "kumarandatascientist/fast-cafa-6-ensemble-all-or-oof-callback", "kernel_id": "98909525"}, {"ref": "kumarandatascientist/improved-model-cafa6-stacking-ensemble", "kernel_id": "98914966"}, {"ref": "kumarandatascientist/cafa-6-ensemble-all-or-oof-callback", "kernel_id": "98449963"}, {"ref": "dnarek/protein", "kernel_id": "98601235"}, {"ref": "xaxipirulazo/fantasia-cafa6-functional-annotation-framework", "kernel_id": "98827923"}, {"ref": "jbomitchell/cafa-6-diamond-ring", "kernel_id": "98609866"}, {"ref": "asadalikhan92/cafa6-back-to-0-224-glory", "kernel_id": "98050236"}, {"ref": "amirrezaaleyasin/cafa-6-protein-function-starter-eda-model", "kernel_id": "98358874"}, {"ref": "amalsp220/cafa6-frequency-baseline-protein-function-predicto", "kernel_id": "98759303"}, {"ref": "seddiktrk/cafa-6-blend-goa-negative-propagation", "kernel_id": "98857939"}, {"ref": "aizealotwu/eda-cafa6-pfp-interactive-dags-plotly-v1", "kernel_id": "98415684"}, {"ref": "aizealotwu/a-view-of-differences-cafa5-and-cafa6", "kernel_id": "98758053"}, {"ref": "wasiqaliyasir/score-prediction-0-32-cafa-6-protien", "kernel_id": "98762390"}, {"ref": "thierryneusius/cafa6-filtering-labels-for-faster-model-training", "kernel_id": "99294154"}, {"ref": "sacuscreed/cafa-6-blend-goa-negative-propagation-fork", "kernel_id": "99297322"}, {"ref": "amirasgari/cafa6-test", "kernel_id": "99919405"}, {"ref": "guntasdhanjal/cafa-6-multi-model-blend-v2", "kernel_id": "99962476"}, {"ref": "wasiqaliyasir/cafa-6-sample-submission", "kernel_id": "99753874"}, {"ref": "kitmkennedy/kmk-cafa6-proteinfunction-eda-baseline", "kernel_id": "99173070"}, {"ref": "kumarandatascientist/cafa-6-multi-model-blend-with-noise-af93b3", "kernel_id": "100877927"}, {"ref": "jbomitchell/cafa-6-65-diamond-standard", "kernel_id": "100236782"}, {"ref": "jbomitchell/cafa6-diamond-6u-standard", "kernel_id": "100220143"}, {"ref": "evanoleary/alexandria-competition-cafa-6-protein-fun-243339", "kernel_id": "100566101"}, {"ref": "amirrezaaleyasin/cafa6-dataset-statistics", "kernel_id": "100190658"}, {"ref": "muskaanaggarwal1/cafa-6", "kernel_id": "100646792"}, {"ref": "coolkid23032023/notebooka0efcc9449", "kernel_id": "100513023"}, {"ref": "rohitcraftsyt/cafa-6-multi-model-blend", "kernel_id": "100513166"}, {"ref": "sonsosad/code-prediction", "kernel_id": "100028660"}, {"ref": "nina2025/cafa-6-protein-function-prediction", "kernel_id": "100859462"}, {"ref": "wasiqaliyasir/cafa-best-prediction-to-get-top-100-position", "kernel_id": "100513290"}, {"ref": "banwait13/esm2-protbert-x-prott5", "kernel_id": "100739632"}, {"ref": "liamarden/cafa-6-multi-model-blend-with-noise", "kernel_id": "100529272"}, {"ref": "liamarden/cafa-6-multi-model-blend-with-noise-2", "kernel_id": "100888531"}, {"ref": "dalloliogm/compute-protein-embeddings-with-esm2-esm-c", "kernel_id": "101721816"}, {"ref": "redberry/cafa6-protein-data-shape", "kernel_id": "101356524"}, {"ref": "guntasdhanjal/cafa-6-proven-ensemble-submission", "kernel_id": "101529540"}, {"ref": "purnamaridzkynugraha/cafa-6-the-keep-it-simple-starter", "kernel_id": "101694968"}, {"ref": "cuongng1/cafa-protein-6", "kernel_id": "101186507"}, {"ref": "wasiqaliyasir/cafa-quick-submission-0-358-score", "kernel_id": "101929539"}, {"ref": "wasiqaliyasir/submission-analysis-of-cafa-6", "kernel_id": "101938093"}, {"ref": "kigdle/notebook8e7748cfb1", "kernel_id": "101284946"}, {"ref": "redberry/cafa6-protein-data-hostspecies-and-goterms", "kernel_id": "102845189"}, {"ref": "redberry/2025-11-23-blastp-database-r", "kernel_id": "102812774"}, {"ref": "btbpanda/metric-implementation-issue", "kernel_id": "102902628"}, {"ref": "amirrezaaleyasin/esm2-umap-physichochemical", "kernel_id": "102101080"}, {"ref": "muhammaddanyalmalik/combination-of-models-and-same-ways", "kernel_id": "102239417"}, {"ref": "saibhossain/protein-function-prediction-model", "kernel_id": "102243093"}, {"ref": "dungxnd/cafaextracttax", "kernel_id": "102457955"}, {"ref": "ngththolinh/notebookd686569abc", "kernel_id": "102910256"}, {"ref": "thnhnamquch/mlp-model", "kernel_id": "102558190"}, {"ref": "quangcuong/cafa-6-protein-embedding-esm2", "kernel_id": "102554401"}, {"ref": "minhnvm2307/t5-embedding-cafa6", "kernel_id": "102738209"}, {"ref": "jwang2025learning/cafa-6-function-prediction-using-prott5", "kernel_id": "102923165"}, {"ref": "tnngth/cafa-6-protein-function-starter-eda-model", "kernel_id": "102651609"}, {"ref": "mingnguyendang/cafa6", "kernel_id": "102347828"}, {"ref": "szzzzzheng/notebook7ff7d83429", "kernel_id": "102757963"}, {"ref": "gssreshta/cafa-6-decoding-phbvx", "kernel_id": "102227430"}, {"ref": "ddung58/notebook48c612cd05", "kernel_id": "102664155"}, {"ref": "liamarden/cafa-6-proven-ensemble-submission-noise", "kernel_id": "102313196"}, {"ref": "bnhbiphc/diamond", "kernel_id": "102734937"}, {"ref": "tvmilitary/cafa6-protein-function-prediction-starter-baseline", "kernel_id": "102777219"}, {"ref": "huuhieu3333/cafa-6-protein-function-starter-eda-mode-fa5ca4", "kernel_id": "102921545"}, {"ref": "dalloliogm/cafa6-compute-go-embeddings", "kernel_id": "103100423"}, {"ref": "redberry/blast-basic-protein-function-predictions-cafa6", "kernel_id": "103213177"}, {"ref": "seowoohyeon/eda-cafa", "kernel_id": "103122473"}, {"ref": "nihilisticneuralnet/script-generate-cafa6-embeddings-with-protbert", "kernel_id": "103177079"}, {"ref": "nihilisticneuralnet/script-generate-cafa6-embeddings-with-prott5", "kernel_id": "103204099"}, {"ref": "errajanikantawasthi/rkawasthi-cafa-protein-nb", "kernel_id": "103646600"}, {"ref": "deepayanthakur/cafa-6-baseline-aac-multi-label-lr", "kernel_id": "103362821"}, {"ref": "thaimeuu/my-best-score", "kernel_id": "103835328"}, {"ref": "thaimeuu/0-230-logistic-regression-with-esm-2-embeddings", "kernel_id": "103610586"}, {"ref": "xiaoleilian/fork-of-cafa6-esm-dnn-inference", "kernel_id": "103970981"}, {"ref": "xiaoleilian/cafa6-esm-dnn-training", "kernel_id": "103956960"}, {"ref": "rohanrk1813/cafa6-lb-0-366", "kernel_id": "103738249"}, {"ref": "huynguyen1902/data-understanding", "kernel_id": "103926322"}, {"ref": "yuanlao153/cafa6-cafa5", "kernel_id": "103812616"}, {"ref": "ngvitthuyt/mlver1", "kernel_id": "103799699"}, {"ref": "ngththolinh/notebook1cf1cfb684", "kernel_id": "103802131"}, {"ref": "ngththolinh/cafa-6-using-nn", "kernel_id": "103926843"}, {"ref": "quangcuong/cafa6-goa", "kernel_id": "103624743"}, {"ref": "quangcuong/cafa6-protbert", "kernel_id": "103727827"}, {"ref": "quangcuong/caf6-submission", "kernel_id": "103749470"}, {"ref": "daovanda2405/multi-model-blend", "kernel_id": "103232023"}, {"ref": "daovanda2405/cafa-6-protein-function-starter-eda-model", "kernel_id": "103012242"}, {"ref": "minhnvm2307/t5-cafa6-tensorflow", "kernel_id": "103187554"}, {"ref": "sonsosad/baseline-v1-1", "kernel_id": "103018033"}, {"ref": "jwang2025learning/cacf6-prott5-model", "kernel_id": "103335894"}, {"ref": "jwang2025learning/cafa-6-function-prediction-from-prott5-embeddings", "kernel_id": "103710812"}, {"ref": "jwang2025learning/cafa-6-prott5-embedding-test-sequences", "kernel_id": "103806918"}, {"ref": "lengocquy2901/ml-quy", "kernel_id": "103181447"}, {"ref": "anhvietquoctran/nnn-improve-multi-task", "kernel_id": "103880432"}, {"ref": "ahphan/metric-implementation-issue-discussion", "kernel_id": "103104441"}, {"ref": "lduynglduyng/test-001", "kernel_id": "103734425"}, {"ref": "viet6cltt/predict-cafa6-model2", "kernel_id": "103583267"}, {"ref": "yasunorim/baseline-with-regularization", "kernel_id": "104912716"}, {"ref": "yasunorim/multi-scale-k-mer-features", "kernel_id": "104949123"}, {"ref": "xxxxyyyy80008/1517ac-cafa-6-eda-clean", "kernel_id": "104649159"}, {"ref": "xxxxyyyy80008/cafa-6-deep-dive-eda", "kernel_id": "104645054"}, {"ref": "nanakowusuafriyie/cafa-6-baseline-ensemble", "kernel_id": "104489981"}, {"ref": "brownfox2k6/overfit-int3405e2-eda", "kernel_id": "104463887"}, {"ref": "brownfox2k6/overfit-int3405e2-solution-mlp-logreg", "kernel_id": "104467503"}, {"ref": "antoninadolgorukova/gene-ontology-explorer-upd-python-version", "kernel_id": "104899531"}, {"ref": "tt29294/esm2-cnn1d", "kernel_id": "104855652"}, {"ref": "kaitonmh/goa-negative-propagation", "kernel_id": "104653814"}, {"ref": "saibhossain/cafa-6-contest-model", "kernel_id": "104459305"}, {"ref": "roxanacaraba/cafa-6-cnn-baseline-go-hierarchy-propagation", "kernel_id": "104898818"}, {"ref": "andrewdng/cfcharge-cafa-6", "kernel_id": "104343435"}, {"ref": "ngththolinh/mlp-knn", "kernel_id": "104501132"}, {"ref": "ngththolinh/final", "kernel_id": "104509074"}, {"ref": "ngththolinh/cafa06-1", "kernel_id": "104323521"}, {"ref": "thnhnamquch/notebook47f59d356d", "kernel_id": "104272563"}, {"ref": "quangcuong/protbert-ensemble", "kernel_id": "104339979"}, {"ref": "quangcuong/cafa-6-ensemble-goa-negative-propagation", "kernel_id": "104419623"}, {"ref": "quangcuong/cafa-6-multi-model-blend-with-noise", "kernel_id": "104425364"}, {"ref": "daovanda2405/cafa-6-blend-goa-negative-propagation", "kernel_id": "104142608"}, {"ref": "analyticaobscura/cafa-6-protein-function-prediction", "kernel_id": "104614157"}, {"ref": "anoreo/cafa06-1", "kernel_id": "104127789"}, {"ref": "anoreo/cnn-cafa06-pro-2", "kernel_id": "104445161"}, {"ref": "anoreo/notebook-merge", "kernel_id": "104332134"}, {"ref": "nguyenhaian/data02", "kernel_id": "104391954"}, {"ref": "nguyenhaian/cafa06-1-nha", "kernel_id": "104245721"}, {"ref": "nguyenhaian/ensemble", "kernel_id": "104614244"}, {"ref": "anhvietquoctran/cafa-6-blend-goa-negative-propagation", "kernel_id": "104436384"}, {"ref": "anhvietquoctran/nnn-merge-submission", "kernel_id": "104337841"}, {"ref": "anhvietquoctran/nnn-eda", "kernel_id": "104295636"}, {"ref": "anhvietquoctran/nnn-protbert-fusion-tf-idf", "kernel_id": "104331492"}, {"ref": "anhvietquoctran/nnn-kmer-tfidf", "kernel_id": "104106074"}, {"ref": "tnngth/cafa-6-protein-function-starter-eda-mode-c44c79", "kernel_id": "104429726"}, {"ref": "thanhduy9a4tv/ensemble", "kernel_id": "104455730"}, {"ref": "linhduongcute2503/cafa-6-using-nn", "kernel_id": "104000949"}, {"ref": "alish0x/cafa-6-esm2-650m-fine-tuning", "kernel_id": "104833117"}, {"ref": "metsub/train-notebook", "kernel_id": "104454354"}, {"ref": "metsub/ensemble-and-submit-notebook", "kernel_id": "104456179"}, {"ref": "newsaib5/cafa-6-model", "kernel_id": "104680218"}, {"ref": "gssreshta/cafa-6-proven-ensemble", "kernel_id": "104074228"}, {"ref": "ducp8822/final-2", "kernel_id": "104379856"}, {"ref": "tgtg43/esm2-cnn1d", "kernel_id": "104449707"}, {"ref": "nguyenanhtu164/ml-cafa6", "kernel_id": "104415374"}, {"ref": "id23020164/esm2-resnet", "kernel_id": "104557878"}, {"ref": "khoatran512/ktdk-int3405e2-final", "kernel_id": "104591754"}, {"ref": "nguynphanng/mlp-protein-sbm", "kernel_id": "104587823"}, {"ref": "linhlinhehehe/fork-of-notebook1458409e35", "kernel_id": "104493064"}, {"ref": "linhlinhehehe/protbert-ensemble", "kernel_id": "104373829"}, {"ref": "janghai/last-notebook", "kernel_id": "104281554"}, {"ref": "ananan222/cafa06-1", "kernel_id": "104281819"}, {"ref": "anoro1/cnn-update", "kernel_id": "104457433"}, {"ref": "anoro1/final", "kernel_id": "104522781"}, {"ref": "anoro1/ngolinhbaochayfilenay", "kernel_id": "104520680"}, {"ref": "aphoristicartist/cafa6-esm2-3b-neural-network-go-propagation", "kernel_id": "105065306"}, {"ref": "tdoh86/cafa6-2025-bert-similarity", "kernel_id": "105171276"}, {"ref": "tdoh86/capa6-2025-knn", "kernel_id": "105051818"}, {"ref": "estiakruddro/protein-md-istiak-tanvir-asma-akter", "kernel_id": "105943225"}, {"ref": "abhinavsharma0706/cafa-set1", "kernel_id": "105763182"}, {"ref": "yongsukprasertsuk/cafa-6-goa-propagation", "kernel_id": "105789026"}, {"ref": "antoninadolgorukova/cafa6-test-superset-eda", "kernel_id": "105499888"}, {"ref": "shivanisharma1297/protein-cnn", "kernel_id": "105736024"}, {"ref": "chikonzeroselemani/cafa-6-protbert", "kernel_id": "105483234"}, {"ref": "xinmingzhang0617/kaggle-protein", "kernel_id": "105494446"}, {"ref": "saibhossain/cafa-6-esm-2-650-1d-cnn", "kernel_id": "105765001"}, {"ref": "alperenaslann/goa-negative-propagation-uptaded", "kernel_id": "105535818"}, {"ref": "dennisfial/cafa6", "kernel_id": "105566514"}, {"ref": "trnhquangminh140/cafa-6-protein-function-prediction-minh", "kernel_id": "105827403"}, {"ref": "trnhquangminh140/cafa-6-protein-function-prediction-new", "kernel_id": "105840045"}, {"ref": "jwang2025learning/cafa6-prediction-using-mlp", "kernel_id": "105269918"}, {"ref": "jwang2025learning/embeddings-from-esm2", "kernel_id": "105986873"}, {"ref": "hmnshudhmn24/cafa-6-protein-function-prediction", "kernel_id": "105121386"}, {"ref": "wasiqaliyasir/cafa6-prediction-best-score", "kernel_id": "105420899"}, {"ref": "mohankrishnathalla/cafa-6-protein-function-prediction", "kernel_id": "105543547"}, {"ref": "lduynglduyng/cafa-6-protein-function-prediction", "kernel_id": "105193147"}, {"ref": "alia22/cafa-6-challenge", "kernel_id": "105441522"}, {"ref": "aphoristicartist/cafa6-deep-eda-esm2-homology-ensemble", "kernel_id": "106599405"}, {"ref": "ymuroya47/cafa-6-goa-prott5-ensemble-0-370", "kernel_id": "106630948"}, {"ref": "chakrabhuanavdeva/embeddings-from-esm2-oom-fixed", "kernel_id": "106628710"}, {"ref": "gerryweber/cafa6protein-function-prediction", "kernel_id": "106556017"}, {"ref": "tdoh86/cafa6-2026-baseline-nn", "kernel_id": "106257042"}, {"ref": "masanakashima/cafa6-esm2-150m-optimized-10h", "kernel_id": "106076518"}, {"ref": "masanakashima/cafa6-esm2-protein-function-v3", "kernel_id": "106005635"}, {"ref": "masanakashima/cafa6-esm2-protein-function-prediction", "kernel_id": "106004258"}, {"ref": "masanakashima/cafa6-esm2-protein-function-v2", "kernel_id": "106004604"}, {"ref": "masanakashima/cafa6-esm2-650m-maximum-score", "kernel_id": "106009142"}, {"ref": "msericajayasundera/ericajayasundera-cafa-6-py", "kernel_id": "106017917"}, {"ref": "kethansaikoneru/cafa-6-super-learner-baseline-esm-2-pytorch", "kernel_id": "106146476"}, {"ref": "kethansaikoneru/cafa-6-3b-protein-function-prediction", "kernel_id": "106650733"}, {"ref": "raniahelmy/cafa6-embeddings", "kernel_id": "106658427"}, {"ref": "yutaroito/cafa6-nn", "kernel_id": "106411409"}, {"ref": "yongsukprasertsuk/cafa-6-tuning", "kernel_id": "106853714"}, {"ref": "natakornwannabovorn/hs-intro-to-ml-bonus", "kernel_id": "106749343"}, {"ref": "ramazanturann/cafa-6-protein-function-prediction-eda-notebook", "kernel_id": "106847947"}, {"ref": "nicholas33/nb153-cafa6-protein-decoder-ensemble", "kernel_id": "106030362"}, {"ref": "abhishekgodara/cafa-6-protein-prediction", "kernel_id": "106330020"}, {"ref": "suthanakwaonueng/for-cafa6", "kernel_id": "106280331"}, {"ref": "chikonzeroselemani/protein-function-protlearn-features", "kernel_id": "106369301"}, {"ref": "nikitakuznetsof/cafa-6-goa-prott5-ensemble-0-370-f2fcb6", "kernel_id": "106802959"}, {"ref": "mukundtimbadiya/similarity", "kernel_id": "106959544"}, {"ref": "mukundtimbadiya/03-model-training-and-submission", "kernel_id": "106867390"}, {"ref": "rajeevkale/amino-train-master", "kernel_id": "106768755"}, {"ref": "adityak12345/notebook75d1520046", "kernel_id": "106012777"}, {"ref": "dennisfial/cafa6-1", "kernel_id": "106971509"}, {"ref": "sofiyarachkevych/mess-with-the-go-terms-capa6-vs-ncbi-databases", "kernel_id": "106483464"}, {"ref": "hiroshige1/cafa-6-robust-ensemble-sim-resnet-naive", "kernel_id": "106524834"}, {"ref": "jwang2025learning/prot-t5-xl-half-for-training-embeddings", "kernel_id": "106760251"}, {"ref": "jwang2025learning/cacf6-prott5-model-for-testing-embedding-1-11-2026", "kernel_id": "106744675"}, {"ref": "jwang2025learning/mlp-and-lr-ensemble-for-cafa6-prediction", "kernel_id": "106188282"}, {"ref": "jwang2025learning/cafa6-prediction-lr-prott5-xl-embeddings", "kernel_id": "106172884"}, {"ref": "jwang2025learning/mlp-using-prott5-xl-half-embeddings", "kernel_id": "106819120"}, {"ref": "ciccice/sovereign-cafa-6-o-n-solver", "kernel_id": "106987239"}, {"ref": "wasiqaliyasir/cafa-goa-prediction", "kernel_id": "106794551"}, {"ref": "wasiqaliyasir/cafa-quick-submission-0-375", "kernel_id": "106789502"}, {"ref": "wasiqaliyasir/quick-direct-prediction-using-cafa6", "kernel_id": "106887087"}, {"ref": "wasiqaliyasir/cafa-test-prediction", "kernel_id": "106887477"}, {"ref": "patthadonarm/protein-homework-ipynb", "kernel_id": "106867183"}, {"ref": "samyakrajbayar/cafa-6", "kernel_id": "106242171"}, {"ref": "caresment/cafa6-super-ensemble", "kernel_id": "106327384"}, {"ref": "caresment/cafa6-super-ensemble-v2-4-models-constraints", "kernel_id": "106327030"}, {"ref": "caresment/cafa6-super-ensemble-advanced-post-processing", "kernel_id": "106325027"}, {"ref": "caresment/cafa6-lightgbm-with-gpu", "kernel_id": "106713874"}, {"ref": "caresment/ktdk-esm2-3-model-ensemble", "kernel_id": "106643989"}, {"ref": "caresment/cafa6-goa-boost", "kernel_id": "106641604"}, {"ref": "caresment/cafa6-esm2-go-predictor", "kernel_id": "106632566"}, {"ref": "caresment/cafa6-goa-negative-propagation", "kernel_id": "106638103"}, {"ref": "caresment/cafa6-lightgbm-gradient-boost", "kernel_id": "106662427"}, {"ref": "caresment/cafa6-lgbm-esm2-fresh", "kernel_id": "106666778"}, {"ref": "caresment/lightgbm-esm2-cafa6", "kernel_id": "106662206"}, {"ref": "caresment/cafa6-diamond-blastp", "kernel_id": "106438548"}, {"ref": "caresment/cafa6-hybrid-diamond-ensemble", "kernel_id": "106450770"}, {"ref": "caresment/cafa6-enhanced-ensemble", "kernel_id": "106461161"}, {"ref": "caresment/cafa6-ultimate-v3-esm-cambrian", "kernel_id": "106792195"}, {"ref": "caresment/cafa6-ultimate-v4-mlp-ensemble", "kernel_id": "106825317"}, {"ref": "solokop/030-cafa6-freq-baseline", "kernel_id": "107756590"}, {"ref": "sword4949/cafa-6-protein-function-prediction", "kernel_id": "107549651"}, {"ref": "pawanmali/cafa-6-100-experiments-what-works-doesn-t", "kernel_id": "107801049"}, {"ref": "raniahelmy/cafa6-esm650", "kernel_id": "107789862"}, {"ref": "manpenguin/cafa-6-goa-blast-baseline-v8", "kernel_id": "107890222"}, {"ref": "manpenguin/cafa-6-goa-blast-baseline-v7", "kernel_id": "107877052"}, {"ref": "antonoof/cafa-optimization", "kernel_id": "107936747"}, {"ref": "maryamkhaled67/cafa6-submit-blend", "kernel_id": "107260990"}, {"ref": "maryamkhaled67/cafa6-goa-prott5-ic-aware", "kernel_id": "107782685"}, {"ref": "maryamkhaled67/cafa6-goa-baseline", "kernel_id": "107782369"}, {"ref": "maryamkhaled67/cafa6-goa-prott5-blend", "kernel_id": "107782506"}, {"ref": "maryamkhaled67/cafa6-score-recalibration", "kernel_id": "107785437"}, {"ref": "maryamkhaled67/cafa6-submit-baseline", "kernel_id": "107785445"}, {"ref": "maryamkhaled67/cafa6-submit-ic-aware", "kernel_id": "107785446"}, {"ref": "maryamkhaled67/cafa6-submit-recalibration", "kernel_id": "107785491"}, {"ref": "maryamkhaled67/cafa6-aspect-specific-optimization", "kernel_id": "107785545"}, {"ref": "maryamkhaled67/cafa6-submit-aspect", "kernel_id": "107785600"}, {"ref": "maryamkhaled67/cafa6-submit-smart-fallback", "kernel_id": "107792102"}, {"ref": "maryamkhaled67/cafa6-submit-conservative", "kernel_id": "107792253"}, {"ref": "maryamkhaled67/cafa6-smart-fallback", "kernel_id": "107791086"}, {"ref": "maryamkhaled67/cafa6-pure-goa-conservative", "kernel_id": "107791148"}, {"ref": "ashrafulhossenakash/cafa-6", "kernel_id": "107539052"}, {"ref": "nikitakuznetsof/cafa-6-low-agi-baseline", "kernel_id": "107753746"}, {"ref": "mukundtimbadiya/deeplearning", "kernel_id": "107027718"}, {"ref": "mukundtimbadiya/ensemble", "kernel_id": "107016924"}, {"ref": "mukundtimbadiya/onotologyboost", "kernel_id": "107899277"}, {"ref": "birenkumarnayak/cafa-6-protein-function-prediction", "kernel_id": "107977398"}, {"ref": "dennisfial/cafa6-11", "kernel_id": "107021669"}, {"ref": "roxanacaraba/cafa6-3-head-mlp-asl-loss-fmax-thresholding", "kernel_id": "107264796"}, {"ref": "olaflundstrom/notebooke4acc0f7ac", "kernel_id": "107661165"}, {"ref": "olaflundstrom/notebook-1", "kernel_id": "107675408"}, {"ref": "avikdas567/taxonomy-aware-go-priors-model-protein-function", "kernel_id": "107810349"}, {"ref": "nishitapjahagirdar/cafa-6", "kernel_id": "107760061"}, {"ref": "jwang2025learning/mlp-using-prott5-xl-embeddings", "kernel_id": "107239978"}, {"ref": "newwang12/new-wang-cacf6", "kernel_id": "107117928"}, {"ref": "payaldhokane/cafa-6-protein-function-prediction", "kernel_id": "107115836"}, {"ref": "payaldhokane/cafa-protein-function-prediction", "kernel_id": "107365483"}, {"ref": "wasiqaliyasir/cafa-quick-prediction", "kernel_id": "107065570"}, {"ref": "ramaalabhath/cafa-6", "kernel_id": "107459107"}, {"ref": "yujuanzhangai/protein-go-function-eda-visual-and-lr", "kernel_id": "107015418"}, {"ref": "yujuanzhangai/cafa6-v8-gpu-baseline-esm2-8m", "kernel_id": "107057695"}, {"ref": "datasciencegrad/cafa-6-esm-2-embedding-inference-0-386", "kernel_id": "107598483"}, {"ref": "vincenzorubino/cafa6-v4-improved-approach", "kernel_id": "107785694"}, {"ref": "vincenzorubino/cafa6-v5-lightweight-go-propagation", "kernel_id": "107788154"}, {"ref": "vincenzorubino/cafa6-v7-tuned-logreg-go-propagation", "kernel_id": "107793259"}, {"ref": "giorgosfoukarakis/cafa-6-multi-modal-mixture-of-experts-lb0360", "kernel_id": "108609764"}, {"ref": "raniahelmy/additional-trial", "kernel_id": "108483969"}, {"ref": "raniahelmy/esm2-inference", "kernel_id": "108003965"}, {"ref": "antoninadolgorukova/cafa6-super-fast-go-propagation-with-numba", "kernel_id": "108640503"}, {"ref": "guojun1/cafa-6-protein-function-prediction", "kernel_id": "108472125"}, {"ref": "kashyapavsharma/cafa-6-upload-2", "kernel_id": "108529023"}, {"ref": "ismailcanoguz/mybestscore-372", "kernel_id": "108486109"}, {"ref": "mr1rameez/cafa-quick-lm-prediction", "kernel_id": "108225619"}, {"ref": "mr1rameez/cafa-6-random-efficient-low-baseline", "kernel_id": "108230555"}, {"ref": "mr1rameez/cafa-6-efficient-cafa-low-baseline", "kernel_id": "108191202"}, {"ref": "andpit/cafa6-model-3-v8-last", "kernel_id": "108546284"}, {"ref": "hiralrojesara/cafa-6-protein-function-prediction", "kernel_id": "108459829"}, {"ref": "eloisedai/sprof-go-full-training-pipeline-on-cafa6", "kernel_id": "109225331"}, {"ref": "zainabhalhoul/esm-t6-training", "kernel_id": "110824323"}, {"ref": "trnhquangminh140/protein-function-prediction-amino-acid-sequences", "kernel_id": "111746919"}, {"ref": "dipanshaw003/cafa-6-protein-function-prediction", "kernel_id": "112654791"}, {"ref": "skyeloitz/cafa-protformer", "kernel_id": "112782225"}, {"ref": "cj3000007/notebookcff84d25bf", "kernel_id": "113852097"}, {"ref": "trnhquangminh140/ai-models-for-protein-function-prediction-minh", "kernel_id": "113975469"}, {"ref": "trnhquangminh140/ai-models-for-protein-function-prediction-net-minh", "kernel_id": "113976974"}, {"ref": "vidhanprajapati/protein-function-prediction", "kernel_id": "114207216"}, {"ref": "trnhquangminh140/gemma-4-good-hackathon-trinh-quang-minh", "kernel_id": "114523226"}, {"ref": "hatimjazouli/cafa6-v0-3", "kernel_id": "115592637"}, {"ref": "efinchwang/cafa6-efin-chwang", "kernel_id": "115035653"}, {"ref": "sylvanodjatche/mlp-rag-v1", "kernel_id": "116854399"}, {"ref": "safar1/lb-score-0-36", "kernel_id": "118500872"}, {"ref": "earnestgomer/submission-parquet", "kernel_id": "120793400"}, {"ref": "sylvanodjatche/mlp-rag-v2", "kernel_id": "121899990"}, {"ref": "liuhc98/goalpha-final-prediction", "kernel_id": "122496435"}, {"ref": "yimgakevin/notebook87c611478f", "kernel_id": "124753767"}, {"ref": "pradippokhrel77/notebook498159d9d3", "kernel_id": "124227537"}, {"ref": "pradippokhrel77/alpha-fold-2", "kernel_id": "124740750"}, {"ref": "kevinlagneauyimga/protein-function-prediction", "kernel_id": "124411695"}, {"ref": "pradippokhrel77/checking-missing-alpha-fold", "kernel_id": "125064817"}, {"ref": "t8101349/cafa6-protein-function-enssemble", "kernel_id": "126458560"}, {"ref": "behrouzmirabdi/merged-cafa5-cafa6-train-datasets", "kernel_id": "128671737"}, {"ref": "ismailcanoguz/68th-place-solution-for-the-cafa-6", "kernel_id": "128940435"}, {"ref": "areebaeman2026/cafa-6-protein-function-prediction", "kernel_id": "134180578"}]}
{"competition_id": "116089", "kernels": []}
{"competition_id": "116090", "kernels": []}
{"competition_id": "116112", "kernels": [{"ref": "hmnshudhmn24/multi-class-cirrhosis-outcome-prediction", "kernel_id": "109104915"}, {"ref": "emilyterzich/support-vector-machine-and-lightgbm-prediction", "kernel_id": "115244403"}]}
{"competition_id": "116125", "kernels": [{"ref": "taylorsamarel/birth-weight-prediction", "kernel_id": "93148213"}]}
{"competition_id": "116139", "kernels": []}
{"competition_id": "116153", "kernels": [{"ref": "jasminezli/starter-notebook-genuity-x-ethos-data-challenge", "kernel_id": "93442010"}, {"ref": "paragpawar2008/synth-solution", "kernel_id": "98395032"}, {"ref": "samasiayushman/notebook538980e943", "kernel_id": "102454927"}]}
{"competition_id": "116162", "kernels": [{"ref": "luke31/0-dutch-energy-forecast-eda-with-weather-data", "kernel_id": "93569029"}, {"ref": "luke31/1-dutch-energy-forecast-baseline-previous-week", "kernel_id": "93641372"}, {"ref": "luke31/starter-notebook-dutch-energy-forecasting-csv", "kernel_id": "93371044"}, {"ref": "taylorsamarel/starter-notebook-dutch-energy-forecasting", "kernel_id": "93142381"}, {"ref": "luke31/dutch-energy-load-forecasting-aist-lab-ffill", "kernel_id": "94446615"}, {"ref": "juank333/dutch-ts-challenge-first-steps-eda-api", "kernel_id": "94064532"}, {"ref": "scroller/dutch-energy-supplier", "kernel_id": "94241638"}, {"ref": "olaflundstrom/dutch-energy-load-forecasting-aist-lab", "kernel_id": "94403138"}, {"ref": "dorodorowan/starter-notebook-dutch-energy-forecasting-csv", "kernel_id": "94028996"}, {"ref": "luke31/dutch-energy-forecasting-autoreg", "kernel_id": "95217713"}, {"ref": "luke31/dutch-energy-forecasting-autoreg-synthetic", "kernel_id": "97201758"}]}
{"competition_id": "116207", "kernels": [{"ref": "hmnshudhmn24/dsc-bi-weekly-challenge-2-customer-retention", "kernel_id": "107171026"}]}
{"competition_id": "116236", "kernels": [{"ref": "mdabdulalhasib/notebook-unnamed", "kernel_id": "112169198"}]}
{"competition_id": "116296", "kernels": []}
{"competition_id": "116304", "kernels": []}
{"competition_id": "116311", "kernels": []}
{"competition_id": "116336", "kernels": [{"ref": "emanafi/comparing-3-ml-methods-for-smokers-prediction", "kernel_id": "75019234"}, {"ref": "eric15342335/autogluon-automl-my-first-competition-pls-join", "kernel_id": "106887921"}]}
{"competition_id": "116361", "kernels": [{"ref": "ibrahimmosaadn/fake-news-detection-ml-dl", "kernel_id": "94528984"}, {"ref": "khalednabilfathy/reddit-fakenews-v2", "kernel_id": "94508707"}]}
{"competition_id": "116364", "kernels": [{"ref": "thiagomantuani/computer-prices-2025-baseline", "kernel_id": "93501007"}, {"ref": "vladimirannenkovml/double-catboost-on-residual", "kernel_id": "97593895"}, {"ref": "nileshpatil91/competion-2", "kernel_id": "99359483"}, {"ref": "hectorupy/computer-prices-2025-linear-regression", "kernel_id": "102490123"}, {"ref": "summertrree/prices-prediction", "kernel_id": "102811894"}, {"ref": "donmarch14/computer-price-prediction-tabm-model", "kernel_id": "105530306"}, {"ref": "rattans/computer-price-prediction-regression-xgb", "kernel_id": "105579254"}, {"ref": "ngarai/computer-price-prediction", "kernel_id": "105548858"}, {"ref": "jaswinreddym/computer-prices-2025-xgb", "kernel_id": "105896468"}]}
{"competition_id": "116369", "kernels": [{"ref": "masayakawamata/mic-xgb-baseline", "kernel_id": "93562319"}, {"ref": "masayakawamata/mic-realmlp-baseline", "kernel_id": "93858150"}, {"ref": "masayakawamata/mic-tabm-baseline", "kernel_id": "93858380"}, {"ref": "garrickchinnis/medical-insurance-cost-dataset-xgboost", "kernel_id": "93438407"}, {"ref": "scottljames/mic-realmlp-baseline", "kernel_id": "94185571"}, {"ref": "kashifalikhan360/mi-xgboost-rsme-0-53-lb-public-0-5025", "kernel_id": "95966863"}]}
{"competition_id": "116375", "kernels": [{"ref": "jasminezli/tugas-1-sml-a-2025-start-notebook", "kernel_id": "93512972"}]}
{"competition_id": "116381", "kernels": [{"ref": "ankit02yadav/cars-4-you-price-pred-model-selection-0-935", "kernel_id": "94004591"}]}
{"competition_id": "116394", "kernels": []}
{"competition_id": "116395", "kernels": [{"ref": "mec7037/notebooke268cb0300", "kernel_id": "93376873"}]}
{"competition_id": "116406", "kernels": [{"ref": "snipernan/notebook44a1919fac", "kernel_id": "93393259"}]}
{"competition_id": "116412", "kernels": []}
{"competition_id": "116428", "kernels": [{"ref": "ishitabahamnia/yodi-mina-tts-challenge-notebookbd039fec1f", "kernel_id": "93716661"}]}
{"competition_id": "116506", "kernels": [{"ref": "hanifnoerrofiq/baseline-submission-code", "kernel_id": "105952140"}, {"ref": "ruhul20/pig-posture-recognition-efficientb3-pytorch", "kernel_id": "105822881"}, {"ref": "hmnshudhmn24/pig-posture-recognition-score-0-121", "kernel_id": "105744413"}, {"ref": "sujitaregmi/notebook4ec4fb7ab8", "kernel_id": "105975907"}, {"ref": "parfaitbotchi1/pig-posture-recognition-v2", "kernel_id": "106815124"}, {"ref": "neurocipher/pig-posture-recognization", "kernel_id": "106208536"}, {"ref": "junhaochu/pig-pig", "kernel_id": "106277187"}, {"ref": "leizhang2441/pig-pose", "kernel_id": "106266677"}, {"ref": "briantabad/eda-bbox-stats-y-visualizaci-n", "kernel_id": "107605375"}, {"ref": "nabasaikia/posturedetection-effb3", "kernel_id": "110900297"}, {"ref": "nabasaikia/posturedetection-transformer", "kernel_id": "110985711"}, {"ref": "dorogao55/notebook5369c824eb", "kernel_id": "112036912"}, {"ref": "atharvadhorje14/pig-posture-verison-1", "kernel_id": "115645021"}, {"ref": "atharvadhorje14/pig-posture-yolo-v8-model", "kernel_id": "116227901"}, {"ref": "jirkaborovec/pig-posture-eda-baseline-rf-detr-detect", "kernel_id": "119362765"}]}
{"competition_id": "116507", "kernels": []}
{"competition_id": "116530", "kernels": []}
{"competition_id": "116550", "kernels": []}
{"competition_id": "116591", "kernels": []}
{"competition_id": "116607", "kernels": [{"ref": "taylorsamarel/starter-code", "kernel_id": "93767236"}, {"ref": "daosyduyminh/distracteddrivvingrisk", "kernel_id": "93902596"}, {"ref": "scottljames/remix-of-starter-code", "kernel_id": "94078844"}, {"ref": "abbasi1214/driving-risk-detection", "kernel_id": "96170277"}, {"ref": "hideself/distracted-driving-risk-detection-challenge", "kernel_id": "98571871"}, {"ref": "ruhul20/driving-risk-detection-ensemble-lgb-xgb-rf", "kernel_id": "101383179"}, {"ref": "craftycode/notebookcd7a04ed01", "kernel_id": "102711520"}]}
{"competition_id": "116646", "kernels": [{"ref": "adattatreyavarma/text-to-image-submission", "kernel_id": "93946911"}, {"ref": "lukealveshow10/dreamlayer", "kernel_id": "93863068"}, {"ref": "aayushgupta14/dreamlayer", "kernel_id": "93950950"}, {"ref": "yeshwanth07/text-to-image-challenge-sd-v1-5-yolo-evaluatio", "kernel_id": "94397808"}, {"ref": "ishitabahamnia/text-to-image-generation-challenge-nbooke6a7355747", "kernel_id": "94204414"}, {"ref": "satwiksahoo6401/notebook55cac87594", "kernel_id": "94129543"}, {"ref": "deepikagoutham96/text-to-image-challenge-deepika-2", "kernel_id": "95767444"}, {"ref": "deepikagoutham96/text-to-image-challenge-deepika-3", "kernel_id": "95823951"}, {"ref": "deepikagoutham96/text-to-image-challenge-deepika", "kernel_id": "95222470"}]}
{"competition_id": "116670", "kernels": [{"ref": "taylorsamarel/ttic-spam-detection-starter-notebook", "kernel_id": "93757395"}]}
{"competition_id": "116702", "kernels": [{"ref": "scottljames/v2-experimentation-notebook", "kernel_id": "94148445"}, {"ref": "scottljames/experimentation-notebook", "kernel_id": "94144726"}, {"ref": "sharan012/kaggle-community", "kernel_id": "95133629"}, {"ref": "tobimichigan/green-ai-image-classificationolympiad-hack42nd", "kernel_id": "96816893"}, {"ref": "ymertsahin/notebook0ff1208f43", "kernel_id": "96910050"}, {"ref": "gauravparkhedkar/hack4sol", "kernel_id": "96091267"}, {"ref": "daltongabrielomondi/ecocast", "kernel_id": "97282417"}, {"ref": "dineshpadhan2023/green-ai", "kernel_id": "97122310"}, {"ref": "bariarituratibhai/notebook8bb1d92d66", "kernel_id": "97379043"}, {"ref": "bariarituratibhai/green-ai-2025", "kernel_id": "97384760"}, {"ref": "bariarituratibhai/green-efficiency-llm-2025", "kernel_id": "97395403"}, {"ref": "lainnovic/eco-friendly-ml-optimizing-carbon-footprints", "kernel_id": "97961308"}, {"ref": "martinszerment/kaggle-community-olympiad-hack4earth-green-ai", "kernel_id": "98113329"}, {"ref": "bariarituratibhai/green-ai-2000", "kernel_id": "98127897"}, {"ref": "bariarituratibhai/green-ai-56", "kernel_id": "98181595"}, {"ref": "bariarituratibhai/26-green-ai", "kernel_id": "98434101"}, {"ref": "bariarituratibhai/green-ai-16", "kernel_id": "98438886"}, {"ref": "moaathahmed/green-ai-sustainable-ai-training", "kernel_id": "127731219"}]}
{"competition_id": "116731", "kernels": []}
{"competition_id": "116745", "kernels": []}
{"competition_id": "116746", "kernels": []}
{"competition_id": "116749", "kernels": []}
{"competition_id": "116753", "kernels": []}
{"competition_id": "116754", "kernels": []}
{"competition_id": "116849", "kernels": [{"ref": "taylorsamarel/starter-joint-crack-prediction-regression", "kernel_id": "93764576"}]}
{"competition_id": "116854", "kernels": []}
{"competition_id": "116858", "kernels": []}
{"competition_id": "116875", "kernels": []}
{"competition_id": "116880", "kernels": []}
{"competition_id": "116891", "kernels": []}
{"competition_id": "116892", "kernels": []}
{"competition_id": "116983", "kernels": [{"ref": "santiagoboterosegura/ti2-exploracion-visualizacion", "kernel_id": "96002649"}]}
{"competition_id": "116988", "kernels": [{"ref": "julianomenarvaez97/code-aa-v-2025-ii-pronosticos-nn-rnn-lstm-tcn", "kernel_id": "95213535"}]}
{"competition_id": "116994", "kernels": []}
{"competition_id": "117020", "kernels": [{"ref": "kinggior/baseline-lmc-aicc-round-0", "kernel_id": "93941495"}, {"ref": "orionaraf/latent-model-classification", "kernel_id": "106844875"}, {"ref": "jwangexe/baseline-lmc-aicc-round-0", "kernel_id": "128209327"}]}
{"competition_id": "117021", "kernels": []}
{"competition_id": "117022", "kernels": [{"ref": "kinggior/baseline-deceptive-points-aicc-round-0", "kernel_id": "93941230"}, {"ref": "michaelsemenoff/gmm-solution", "kernel_id": "94143437"}, {"ref": "orionaraf/deception-or-whatever-forgot-name", "kernel_id": "104779190"}, {"ref": "pyton2010/aicc-problem-1", "kernel_id": "124031856"}, {"ref": "jwangexe/baseline-deceptive-points-aicc-round-0", "kernel_id": "128132416"}]}
{"competition_id": "117025", "kernels": [{"ref": "mitchell11/cayleypy-5x5x5-cube-first-steps", "kernel_id": "93932736"}, {"ref": "nocarbonintelligence/555cube-gsr-pdbseg", "kernel_id": "102378110"}, {"ref": "alexandervc/cayleypycube-tetraminx", "kernel_id": "129390298"}, {"ref": "artgor/cayleypy-cube555-2xt4-beam", "kernel_id": "131696240"}, {"ref": "artgor/cayleypy-cube555-tpu-beam-q", "kernel_id": "131692577"}, {"ref": "trydotatwo/cayleypy-cube555-tpu-beam-q-exact", "kernel_id": "132833879"}, {"ref": "artgor/cayleypy-cube555-transformer-training-explained", "kernel_id": "136007907"}, {"ref": "trydotatwo/cube555-native-2xt4-blend", "kernel_id": "136236836"}]}
{"competition_id": "117026", "kernels": [{"ref": "nikolatesla13/baseline-brain-tumor-aicc-round-0", "kernel_id": "93940938"}, {"ref": "pyton2010/aicc-problem-2", "kernel_id": "124034864"}, {"ref": "jwangexe/baseline-brain-tumor-aicc-round-0", "kernel_id": "128209331"}]}
{"competition_id": "117063", "kernels": [{"ref": "alexwycoff/weather-prediction-2025-tutorial", "kernel_id": "94079640"}, {"ref": "sanjeevkv007/weather-prediction-2025", "kernel_id": "106607729"}, {"ref": "lakhindarpal/predict-the-next-day-s-temperature", "kernel_id": "114848306"}]}
{"competition_id": "117079", "kernels": [{"ref": "andreiniculae/dsm-2025-starting-code", "kernel_id": "94128431"}]}
{"competition_id": "117081", "kernels": []}
{"competition_id": "117097", "kernels": [{"ref": "scottljames/starter-notebook-eda", "kernel_id": "94303996"}, {"ref": "daosyduyminh/eda-all-you-need", "kernel_id": "95224274"}, {"ref": "daosyduyminh/radar-imbalance-handling-threshold-guard", "kernel_id": "95221780"}, {"ref": "daosyduyminh/basline-alpharadar", "kernel_id": "95128360"}, {"ref": "riteshsingh23323034/solana-10-15", "kernel_id": "95291443"}, {"ref": "betmyex/notebook6393a7a45b", "kernel_id": "96862370"}, {"ref": "gauravparkhedkar/alphasol", "kernel_id": "96365574"}, {"ref": "omoruyikelvin/alpha-radar-solana-sprint-competition-notebook", "kernel_id": "97059721"}, {"ref": "mufasasimon/alpha-radar-a-complete-baseline-0-16", "kernel_id": "97564977"}, {"ref": "tobimichigan/alpha-rader-solana-sprint-catboost-algorithm", "kernel_id": "98757790"}, {"ref": "jamalsaeedi/infer-alpha", "kernel_id": "98576821"}, {"ref": "n09nikhil/the-alpha-frequency-fft-embeddings-adaptive-ml", "kernel_id": "98291960"}, {"ref": "ayahkhedr/alpha-reader", "kernel_id": "98673736"}, {"ref": "ramziddintoxirov/notebook7e97cdd5c4", "kernel_id": "98449691"}]}
{"competition_id": "117110", "kernels": []}
{"competition_id": "117112", "kernels": [{"ref": "z761686609/personality-prediction", "kernel_id": "108597025"}, {"ref": "msmaddyk/e-or-i-person", "kernel_id": "115801667"}]}
{"competition_id": "117131", "kernels": []}
{"competition_id": "117136", "kernels": []}
{"competition_id": "117143", "kernels": [{"ref": "osmansevili/weather-paris", "kernel_id": "96953193"}, {"ref": "gamzebabayigit/parisweather", "kernel_id": "101903743"}]}
{"competition_id": "117171", "kernels": [{"ref": "shameersham/ai-text-detection", "kernel_id": "94332182"}, {"ref": "yunsuxiaozi/mercor-ai-text-detection-baseline", "kernel_id": "94453225"}, {"ref": "wangapa106g/gpt-download1", "kernel_id": "94459037"}, {"ref": "daosyduyminh/basline-tfidf-lr-xgboost", "kernel_id": "94376018"}, {"ref": "kunalinfinite/mercor-ai-deberta-small", "kernel_id": "94322468"}, {"ref": "kunalinfinite/mercor-ai-roberta", "kernel_id": "94443741"}, {"ref": "kunalinfinite/mercor-ai-training", "kernel_id": "94778804"}, {"ref": "kunalinfinite/mercor-ai-ensemble", "kernel_id": "94569080"}, {"ref": "parveen2024/mercor-advanced-ensemble-0-97-auc", "kernel_id": "94897131"}, {"ref": "gauravparkhedkar/aitextsol", "kernel_id": "94499823"}, {"ref": "yinlongabc/aitext", "kernel_id": "94687041"}, {"ref": "nina2025/mercor-ai-text-detection-h-blend", "kernel_id": "94939919"}, {"ref": "scottljames/starter-mercor-ai-text-detection", "kernel_id": "94392908"}, {"ref": "stpeteishii/tf-idf-based-ai-detection", "kernel_id": "95489431"}, {"ref": "atharva0577/lexicalrichness-mercor-ai-text-detection", "kernel_id": "95857055"}, {"ref": "sankalp25103/bert-xgboost-to-distinguish-between-human-and-ai", "kernel_id": "95968006"}, {"ref": "alok158/mercor-ai-text-detection", "kernel_id": "95244488"}, {"ref": "abdulahadshaik/mercor-ai-text-detection-1", "kernel_id": "95699809"}, {"ref": "kunalinfinite/fork-of-mercor-ai-training", "kernel_id": "95493915"}, {"ref": "kashifalikhan360/mercor-ai-dec-auc-0-9889", "kernel_id": "95621649"}, {"ref": "harshalpatil3558/mercor-ai-text-detection-using-adv-models", "kernel_id": "95953992"}, {"ref": "jieuna1/multinomialnb-10-fold-cv", "kernel_id": "95410137"}, {"ref": "vedant7312/mercor-ai-text-detection", "kernel_id": "95478080"}, {"ref": "krishnadhakal123/notebookai-text-detection", "kernel_id": "96394872"}, {"ref": "abdullahhaydarkadolu/tf-idf-vol2", "kernel_id": "96695092"}, {"ref": "namanomar123/ai-text-detection-xgboost-roc-auc-0-9442", "kernel_id": "97460372"}, {"ref": "tasadanluca/mercor-ai-detection", "kernel_id": "97572856"}, {"ref": "irungujay/mercor-ai-text-detection", "kernel_id": "97670581"}, {"ref": "shemskurtoglu/mercor-starter", "kernel_id": "98297203"}, {"ref": "kmmmvs/gpt-oss-20b-using-llama-cpp-benford-s-law-lb-1-0", "kernel_id": "98080936"}, {"ref": "anotherbadcode/authenticity-checker", "kernel_id": "98511502"}, {"ref": "anotherbadcode/fake-vs-real", "kernel_id": "98059997"}, {"ref": "priyamsaha17/mercor-ai-text-detection-using-fakespot-ai", "kernel_id": "98759233"}, {"ref": "priyamsaha17/mercor-ai-text-detection-using-ensembled-approach", "kernel_id": "98772958"}, {"ref": "shivanisharma1297/ai-text-detection-deberta-roberta-ensemble", "kernel_id": "98794215"}, {"ref": "ahmedfarazshaikh/mercor-ai-detection", "kernel_id": "98582071"}, {"ref": "tsaniyah2/notebook2ed72de512", "kernel_id": "98730688"}, {"ref": "harrykesh/5-fold-roberta-validation-on-auc-roc-lb-1", "kernel_id": "98912931"}, {"ref": "harrykesh/0-99935-1-vote-to-medal-can-you", "kernel_id": "98294590"}, {"ref": "sahil4818/ai-text-detection-stacking-xgboost-llmlr-3", "kernel_id": "98023388"}, {"ref": "voltairglobalhub/notebookbd3a79f1d1", "kernel_id": "98677042"}, {"ref": "serenajerry/ai-text-detection", "kernel_id": "98299042"}, {"ref": "sarveshmah/mercor-ai-text-detection", "kernel_id": "98254174"}, {"ref": "kmmmvs/fork-of-gpt-oss-20b-using-llama-cpp-benfor-c493b1", "kernel_id": "99819226"}, {"ref": "abhiramdodda/mercor-ai-detection-ensemble-with-meta-learning", "kernel_id": "99421547"}, {"ref": "wangapa106g/roberta-model", "kernel_id": "99269757"}, {"ref": "ajitashwath/mercor-ai-text-detection", "kernel_id": "99398898"}, {"ref": "fedrayuny/sbert-gbm", "kernel_id": "99959954"}, {"ref": "kmmmvs/de-roberta-ensemble-with-benford-s-law-stylometry", "kernel_id": "100401822"}, {"ref": "ameymanagute/mercor-ai-text-detection-final-submission", "kernel_id": "100348373"}, {"ref": "priyamsaha17/mercor-ai-text-detection-final", "kernel_id": "100412816"}, {"ref": "roaamohamedabdelazim/mercor-ai-detect", "kernel_id": "100186889"}, {"ref": "bariarituratibhai/text-detect-mec", "kernel_id": "100402239"}, {"ref": "mjdevelopz/mercor-ai-text-deberta-v3-large-tf-idf-hybrid", "kernel_id": "100210379"}, {"ref": "fedrayuny/sbert-ensemble", "kernel_id": "100088286"}, {"ref": "fedirkyrychenko/starter-mercor-ai-text-detection-fedir-copy", "kernel_id": "103677108"}]}
{"competition_id": "117181", "kernels": []}
{"competition_id": "117187", "kernels": [{"ref": "thiagomantuani/linear-regression-ml-letovo-unsupervised-learn", "kernel_id": "94606030"}]}
{"competition_id": "117192", "kernels": []}
{"competition_id": "117193", "kernels": [{"ref": "joseothily/notebookdc4ae90f66", "kernel_id": "94957194"}, {"ref": "harshrajbhar/anip-reconnaissance-faciale", "kernel_id": "94389664"}, {"ref": "scottljames/starter-notebook", "kernel_id": "94398884"}, {"ref": "yemal1n/anip-test1-tache1", "kernel_id": "95389081"}, {"ref": "parfaitbotchi1/tache-3-botchi-parfait-notebook-1710", "kernel_id": "135786732"}, {"ref": "parfaitbotchi1/tache-2-botchi-parfait-notebook-1710", "kernel_id": "135785931"}, {"ref": "parfaitbotchi1/tache-1-botchi-parfait-notebook-1710", "kernel_id": "135785772"}]}
{"competition_id": "117208", "kernels": []}
{"competition_id": "117213", "kernels": []}
{"competition_id": "117251", "kernels": []}
{"competition_id": "117289", "kernels": []}
{"competition_id": "117316", "kernels": []}
{"competition_id": "117326", "kernels": [{"ref": "jeffheaton/basic-pytorch-model-houses", "kernel_id": "94748337"}, {"ref": "jeffheaton/basic-xgboost-model-houses", "kernel_id": "94715547"}]}
{"competition_id": "117341", "kernels": []}
{"competition_id": "117343", "kernels": [{"ref": "bestwater/v1-of-autogluon-oofs-roadsense", "kernel_id": "96946060"}, {"ref": "gauravparkhedkar/roadsol2", "kernel_id": "96289176"}, {"ref": "daosyduyminh/basline-roadsense", "kernel_id": "97961019"}, {"ref": "bestwater/v75-of-roadsense-autogluon-baseline", "kernel_id": "99819942"}, {"ref": "mirkoferretti/roadsense-classification-etiq-ai", "kernel_id": "100229197"}, {"ref": "bestwater/oof-of-v4-of-basline-roadsense", "kernel_id": "101846403"}, {"ref": "bestwater/gpu-oof-of-v4-of-basline-roadsense", "kernel_id": "101869335"}, {"ref": "bestwater/v9-of-basline-roadsense", "kernel_id": "102012258"}]}
{"competition_id": "117353", "kernels": []}
{"competition_id": "117355", "kernels": []}
{"competition_id": "117374", "kernels": [{"ref": "huikangliu/cnn-example-02", "kernel_id": "94695654"}]}
{"competition_id": "117376", "kernels": []}
{"competition_id": "117377", "kernels": [{"ref": "huikangliu/cnn-example-03", "kernel_id": "94697374"}]}
{"competition_id": "117378", "kernels": [{"ref": "sweetyseelam/baseline-model-logistic-regression", "kernel_id": "108747940"}, {"ref": "lightningv08/customer-churn-tabicl-single-model", "kernel_id": "109257739"}, {"ref": "mostafa3apre7em/customer-churn-tabicl-single-model", "kernel_id": "112180371"}, {"ref": "weloatef/training-with-catboost-for-the-best-auc-score", "kernel_id": "112224624"}, {"ref": "sheryradwan/keras-lightgbm-shrouk", "kernel_id": "112180074"}]}
{"competition_id": "117383", "kernels": [{"ref": "huikangliu/lstm-01", "kernel_id": "94704675"}, {"ref": "huikangliu/notebookf663d68b6f", "kernel_id": "94982680"}]}
{"competition_id": "117392", "kernels": []}
{"competition_id": "117395", "kernels": [{"ref": "miguelstarlin/notebook28327726bf", "kernel_id": "118416552"}]}
{"competition_id": "117403", "kernels": [{"ref": "huikangliu/lstm-example-teacher", "kernel_id": "94983874"}]}
{"competition_id": "117416", "kernels": [{"ref": "ramkumarbaragi/boilerplate", "kernel_id": "95406489"}]}
{"competition_id": "117419", "kernels": []}
{"competition_id": "117435", "kernels": []}
{"competition_id": "117441", "kernels": []}
{"competition_id": "117443", "kernels": []}
{"competition_id": "117454", "kernels": []}
{"competition_id": "117458", "kernels": []}
{"competition_id": "117462", "kernels": [{"ref": "nocarbonintelligence/mallorn-tde-classification", "kernel_id": "102664798"}, {"ref": "mdrehanulbary/mallorn-astronomical-classification", "kernel_id": "103766523"}, {"ref": "dileepsahu/topics-modeling-clustering", "kernel_id": "105073573"}, {"ref": "junesdata/mallornchallenge-solution", "kernel_id": "107051754"}]}
{"competition_id": "117467", "kernels": []}
{"competition_id": "117504", "kernels": [{"ref": "ramazanulus/binary-classification-with-a-bank-dataset", "kernel_id": "115767178"}, {"ref": "kaglerian/notebook7df4e98213", "kernel_id": "115245594"}]}
{"competition_id": "117507", "kernels": []}
{"competition_id": "117539", "kernels": []}
{"competition_id": "117542", "kernels": []}
{"competition_id": "117551", "kernels": []}
{"competition_id": "117553", "kernels": [{"ref": "shamimhasan8/predict-movie-genres-from-plot-summaries-101", "kernel_id": "94999082"}, {"ref": "lakhindarpal/predict-movie-genres-from-plot-summaries", "kernel_id": "95028962"}, {"ref": "shamimhasan8/predict-movie-genres-from-plot-summaries", "kernel_id": "104594457"}]}
{"competition_id": "117554", "kernels": []}
{"competition_id": "117559", "kernels": []}
{"competition_id": "117560", "kernels": []}
{"competition_id": "117586", "kernels": []}
{"competition_id": "117590", "kernels": []}
{"competition_id": "117602", "kernels": []}
{"competition_id": "117619", "kernels": [{"ref": "lonnieqin/imagine-decoding-challenge-with-efficientnet-v2", "kernel_id": "97119471"}, {"ref": "mihirkhatri1710/notebookdaff681e96", "kernel_id": "100908733"}, {"ref": "khoatran311/fast-1d-convolution-model", "kernel_id": "101800069"}, {"ref": "khoatran311/localizer-and-imagine-trials-patterns", "kernel_id": "102914721"}, {"ref": "khoatran311/plotting-sensors", "kernel_id": "102917714"}, {"ref": "alok158/image-brain-signal", "kernel_id": "102898620"}, {"ref": "hmnshudhmn24/imagine-decoding-challenge", "kernel_id": "105583993"}, {"ref": "sword4949/imagine-decoding-challenge", "kernel_id": "107614158"}, {"ref": "vaishnavidesai345/imagine-decoding-challenge", "kernel_id": "107343966"}, {"ref": "lakhindarpal/imagine-decoding-challenge-contrastive-learning", "kernel_id": "107943524"}, {"ref": "lakhindarpal/imagine-decoding-challenge-riemannian-geometry", "kernel_id": "107959486"}, {"ref": "baxterbarlow/how-to-beat-baseline", "kernel_id": "110378703"}, {"ref": "sakhawathossen/paper-imagine-decoding", "kernel_id": "114445262"}, {"ref": "avikdas567/hybrid-meg-decoding-with-cnn-and-linear-ensemble", "kernel_id": "114090748"}]}
{"competition_id": "117682", "kernels": [{"ref": "mayukh18/speed-up-data-load-npy-and-rle-data", "kernel_id": "100354554"}, {"ref": "vladimirvilchinsky/fastai-solution", "kernel_id": "100426441"}, {"ref": "ipythonx/vesuvius-tif-to-tfrecord", "kernel_id": "100583645"}, {"ref": "ipythonx/train-vesuvius-surface-3d-detection-on-tpu", "kernel_id": "100047684"}, {"ref": "ipythonx/train-vesuvius-surface-3d-detection-in-pytorch", "kernel_id": "100731185"}, {"ref": "ipythonx/wip-vesuvius-surface-2-5d-detection", "kernel_id": "100819311"}, {"ref": "stpeteishii/surface-segmentation-rgb-mask-unet-callback", "kernel_id": "100377316"}, {"ref": "stpeteishii/surface-segmentation-check-callback-images", "kernel_id": "100398348"}, {"ref": "stpeteishii/surface-detection-masked-image", "kernel_id": "100360396"}, {"ref": "mpwolke/vesuvialization-code-of-the-papyri", "kernel_id": "100044983"}, {"ref": "dedquoc/vesuvius-csd-eda-model-v2", "kernel_id": "100214922"}, {"ref": "jirkaborovec/surface-train-inference-slice-2d-segmentation", "kernel_id": "100485593"}, {"ref": "jirkaborovec/surface-eda-interactive-img-mask-3d-view", "kernel_id": "100058374"}, {"ref": "jirkaborovec/surface-package-scraper", "kernel_id": "100829859"}, {"ref": "mos3santos/surface-detectio-3d", "kernel_id": "100243076"}, {"ref": "hanifnoerrofiq/otsu-lb-0-403", "kernel_id": "100387393"}, {"ref": "sohonsagarsingha/vesuvius-surface-detection-unet", "kernel_id": "100468987"}, {"ref": "miadul/papyrus-surface-detection-with-deep-learning", "kernel_id": "100064083"}, {"ref": "nihilisticneuralnet/vesuvius-3d-u-net-interactive-3d-mask-view", "kernel_id": "100120021"}, {"ref": "antonoof/simple-submission-visualization", "kernel_id": "100142780"}, {"ref": "n09nikhil/ancient-papers-with-cold-coffee-the-simplest-way", "kernel_id": "100319901"}, {"ref": "vergaraandres/notebook531b922e76", "kernel_id": "100513948"}, {"ref": "osman0/vesuvius-detection-data-exploration-visualization", "kernel_id": "100205747"}, {"ref": "avish006/multi-otsu-vesuvius", "kernel_id": "100650320"}, {"ref": "avish006/classical-cv-ensemble-tta", "kernel_id": "100557879"}, {"ref": "yashwanthhn37/surfacedetection", "kernel_id": "100428728"}, {"ref": "yashwanthhn37/image2biomassprediction", "kernel_id": "100708921"}, {"ref": "kushvinthmadhavan/2nd-place-advanced-3d-patch-segmentation", "kernel_id": "100095276"}, {"ref": "kushvinthmadhavan/devops-3d-u-net-for-vesuvius-ink-detection", "kernel_id": "100261104"}, {"ref": "kushvinthmadhavan/vesuvius-challenge-surface-detection", "kernel_id": "100395998"}, {"ref": "kushvinthmadhavan/vesuvius-surface-detection", "kernel_id": "100426736"}, {"ref": "kushvinthmadhavan/advanced-3d-patch-segmentation", "kernel_id": "100420996"}, {"ref": "rahulbunker/scrolls-simple-segmentation-v1", "kernel_id": "100104771"}, {"ref": "ridhijaiswal66/notebook3da7120b8f", "kernel_id": "100724145"}, {"ref": "sade0x9/notebook2741b44745", "kernel_id": "100544835"}, {"ref": "abhijitbiswas21/agent-assist1", "kernel_id": "100144617"}, {"ref": "paharpurailab/vesuvius-surface-detection-training", "kernel_id": "100052054"}, {"ref": "stevelight/slart-is-up-pompei", "kernel_id": "100442347"}, {"ref": "ravirajgour/vesuvius-surface-detection", "kernel_id": "100158938"}, {"ref": "amaramarnadh/mt-versuvius-surface-ct-scan", "kernel_id": "100359486"}, {"ref": "ankurnagar/vesuvius-surface-detection-d32b98", "kernel_id": "100328134"}, {"ref": "greatchandlier/notebookd0a212faa4", "kernel_id": "100076441"}, {"ref": "mayukh18/pytorch-cascaded-unet-inference", "kernel_id": "101846279"}, {"ref": "ipythonx/train-vesuvius-surface-3d-detection-in-lightning", "kernel_id": "101931544"}, {"ref": "ipythonx/vsdetection-packages-offline-installer-only", "kernel_id": "101861574"}, {"ref": "ipythonx/inference-vesuvius-surface-3d-detection", "kernel_id": "101853474"}, {"ref": "sayedathar11/surface-detect-baseline-slice-2d-segment-384", "kernel_id": "101750180"}, {"ref": "jirkaborovec/surface-convert-export-dataset-npz", "kernel_id": "101663290"}, {"ref": "jirkaborovec/surface-train-inference-3d-segm-gpu-augment", "kernel_id": "101357490"}, {"ref": "jirkaborovec/surface-train-predict-yolo-semantic-segm", "kernel_id": "101994287"}, {"ref": "captaindomokun1099/vesuvius-challenge-simple-eda", "kernel_id": "101916257"}, {"ref": "manish756/simple-baseline-with-unet-3d", "kernel_id": "101880539"}, {"ref": "ruhul20/surface-detect-3d-segmentation", "kernel_id": "101494738"}, {"ref": "gauravparkhedkar/surfacesol", "kernel_id": "101710596"}, {"ref": "nocarbonintelligence/vesuvius-visual-eda", "kernel_id": "101371102"}, {"ref": "nocarbonintelligence/vesuvius-prototype-white-dot-ml", "kernel_id": "101445630"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "stevelight/vesuvius-challenge-surface-detection-experiment-6", "kernel_id": "101693559"}, {"ref": "hemanthreganti/vesuvius-3d-u-net-deep-learning-winner", "kernel_id": "101019986"}, {"ref": "pavankumardoddamani/notebookca5a976efe", "kernel_id": "101388697"}, {"ref": "vladimirvilchinsky/fastai-u-net-2-5d", "kernel_id": "102921554"}, {"ref": "dragonzhang/surface-infer-3d-segm-gpu-aug", "kernel_id": "102876530"}, {"ref": "amitkumargope/vesuvius-challenge-3d-surface-reconstruction", "kernel_id": "102184329"}, {"ref": "manish756/unet2-5segmentation-model-0-46", "kernel_id": "102921197"}, {"ref": "vicohq/v-scroll-surface-detection-pipeline", "kernel_id": "102905177"}, {"ref": "giorgioangelotti/access-to-additional-unlabeled-data", "kernel_id": "102632802"}, {"ref": "gssreshta/surface-notebook-fhhbj", "kernel_id": "102242822"}, {"ref": "gssreshta/vesuvius-modai-3d-surface-fsge", "kernel_id": "102329711"}, {"ref": "gssreshta/surface-2d-segmentation-monai", "kernel_id": "102330770"}, {"ref": "tvmilitary/vesuvius-challenge-starter-baseline", "kernel_id": "102688275"}, {"ref": "hengck23/demo-for-line-tracing-for-filling-holes", "kernel_id": "103736569"}, {"ref": "hengck23/demo-limit-of-good-unet-pixel-predict", "kernel_id": "103846171"}, {"ref": "vladimirvilchinsky/fastai-u-net-2-5d-pre-processing", "kernel_id": "103614214"}, {"ref": "kiurtis/3d-slice-visualizer", "kernel_id": "103501610"}, {"ref": "fehruputra/eas-ppm", "kernel_id": "103694265"}, {"ref": "fehruputra/vesuvius-surface-3d-detection", "kernel_id": "103661566"}, {"ref": "fehruputra/train-vesuvius-surface-3d-detection-in-pytorch", "kernel_id": "103563497"}, {"ref": "abhinavsharma0706/vesuvius-1", "kernel_id": "103759674"}, {"ref": "byronodhiambo/vesuvius-optimized-training-v2", "kernel_id": "103826309"}, {"ref": "brettolsen/training-data-loading-examination", "kernel_id": "103772904"}, {"ref": "brettolsen/input-data-standardization", "kernel_id": "103786863"}, {"ref": "rohanrk1813/surafce-detection-challenge-0-507", "kernel_id": "103398478"}, {"ref": "iwanan/eas-ppm", "kernel_id": "103670581"}, {"ref": "diantrianasimarmata/testtt2", "kernel_id": "103443855"}, {"ref": "sarmaelmalona/notebook-b-ygy", "kernel_id": "103579822"}, {"ref": "sarmaelmalona/notebook-a-ygy", "kernel_id": "103579121"}, {"ref": "nailasyalwafadyah/vesuvus-dl-4", "kernel_id": "103556975"}, {"ref": "junmonisinha/segresmamba-inference", "kernel_id": "103968626"}, {"ref": "junmonisinha/segresmamba-training", "kernel_id": "103648434"}, {"ref": "santioktavianaputri/jigeum", "kernel_id": "103697768"}, {"ref": "choudharymanas/csa-net-inference-lb-0-472", "kernel_id": "103446596"}, {"ref": "choudharymanas/csa-net-training", "kernel_id": "103340752"}, {"ref": "choudharymanas/post-processing-probability-analysis", "kernel_id": "103805028"}, {"ref": "choudharymanas/train-transunet-baseline-lb-0-537", "kernel_id": "103970509"}, {"ref": "alvianrahmawati/notebookca095ca6be", "kernel_id": "103609814"}, {"ref": "putrighaidatsuroyya/percobaan", "kernel_id": "103027933"}, {"ref": "verliana21/coba3", "kernel_id": "103702768"}, {"ref": "rishabh1304/visuvius-testing", "kernel_id": "103473924"}, {"ref": "zaiddyyy/zur-ai-surface-detection", "kernel_id": "103768310"}, {"ref": "nailanala/vesuvus-dl-4", "kernel_id": "103558899"}, {"ref": "nailanala/notebook-submission-vesuvius", "kernel_id": "103566977"}, {"ref": "nailanala/fork-of-notebook-submission-vesuvius-1f4b06", "kernel_id": "103663892"}, {"ref": "xuntrngphm/segresnet-with-new-loss-function", "kernel_id": "104264608"}, {"ref": "ajabkhan21/notebook5bac29a76c", "kernel_id": "104389925"}, {"ref": "shogxzard/vesuvius1-0", "kernel_id": "104282478"}, {"ref": "pennykleis/notebook012b6f5d1a", "kernel_id": "104882276"}, {"ref": "hunhdavid/newbie1234", "kernel_id": "104524357"}, {"ref": "choudharymanas/inference-baseline-transunet-lb-0-537", "kernel_id": "104014214"}, {"ref": "gssreshta/surafce-detection-challenge-0-frtgh507", "kernel_id": "104906760"}, {"ref": "jasooka/notebook1027f6561d", "kernel_id": "104796352"}, {"ref": "hengck23/placeholder-instance-3d-one-surface-regression", "kernel_id": "105986095"}, {"ref": "dtomlares/hybrid", "kernel_id": "105076634"}, {"ref": "iyersk/interesting-labels-deprecated", "kernel_id": "105346882"}, {"ref": "manthantilva/lookingintodata", "kernel_id": "105537193"}, {"ref": "hideyukizushi/vesuvius25-transunet-seresnext1013d-lb-460-newlb", "kernel_id": "105508043"}, {"ref": "tom99763/mask-decomposition-vesuvius-challenge", "kernel_id": "105019001"}, {"ref": "tom99763/mask-decomposition-approach-vesuvius-surface", "kernel_id": "105028100"}, {"ref": "jirkaborovec/replicate-lb-score-topology-aware-3d-surface-seg", "kernel_id": "105312564"}, {"ref": "jirkaborovec/surface-nnunet-training-inference-with-2xt4", "kernel_id": "105624256"}, {"ref": "rishi199001/0101-mymodel", "kernel_id": "105932785"}, {"ref": "zy1343930734/nnunet-notebook", "kernel_id": "105771808"}, {"ref": "shtljw/vcsd-4th-place-solution", "kernel_id": "105387307"}, {"ref": "chengtingyi/nnu-net-predict", "kernel_id": "105107457"}, {"ref": "znidhal/vesuvius-scroll-surface-segmentation-professional", "kernel_id": "105160234"}, {"ref": "fresnellll/vcsd-online-pip", "kernel_id": "105698846"}, {"ref": "phanlthanhtrng/vesuvius-challenge-surface", "kernel_id": "105909028"}, {"ref": "choudharymanas/nnunet-submissions", "kernel_id": "105867874"}, {"ref": "choudharymanas/sdf-training", "kernel_id": "105622980"}, {"ref": "choudharymanas/extract-2d-patches-64x64", "kernel_id": "105037177"}, {"ref": "choudharymanas/sheet-thickness-evaluation-on-updated-dataset", "kernel_id": "105402844"}, {"ref": "hmnshudhmn24/vesuvius-challenge-surface-detection", "kernel_id": "105268472"}, {"ref": "garfeen/vesuvius-challenge-1", "kernel_id": "105306236"}, {"ref": "garfeen/vesuvius-final", "kernel_id": "105330697"}, {"ref": "hridyasiddu/notebooka0ed6d39b3", "kernel_id": "105108528"}, {"ref": "haruki210/surface-nnunet-training-inference-with-2xt4", "kernel_id": "105832045"}, {"ref": "hengck23/release-killer-ant-post-processing", "kernel_id": "106371416"}, {"ref": "hengck23/placeholder-diffeomorphic-suface-fitting", "kernel_id": "106705699"}, {"ref": "hengck23/placeholder-instance-3d-two-surface-regression", "kernel_id": "106062737"}, {"ref": "lingyundev/notebook686f6dd4fe", "kernel_id": "106890253"}, {"ref": "crischir/a-glimpse-at-the-data", "kernel_id": "106561985"}, {"ref": "crischir/pix2pix-filter", "kernel_id": "106943555"}, {"ref": "tom99763/fast-matching-from-probability-map-vesuvius", "kernel_id": "106571254"}, {"ref": "tom99763/fitted-spiral-from-probability-map", "kernel_id": "106725696"}, {"ref": "tom99763/fitted-spirals-from-probability-map", "kernel_id": "106577214"}, {"ref": "jasonhui1/base1", "kernel_id": "106846257"}, {"ref": "thnhtt/vesuvius-nnunetv2-baseline-train", "kernel_id": "106610480"}, {"ref": "ggayoayogg/nnu-net-predict-ayogg", "kernel_id": "106853272"}, {"ref": "hiroshige1/vesuvius-surface-detection-baseline-v2", "kernel_id": "106535998"}, {"ref": "hiroshige1/vesuvius-surface-baseline-v3-fixed", "kernel_id": "106536474"}, {"ref": "choudharymanas/forward-field-estimation", "kernel_id": "106807079"}, {"ref": "wentingyun/notebookd378f97adb", "kernel_id": "106360573"}, {"ref": "wentingyun/notebookb4170e6edf", "kernel_id": "106063070"}, {"ref": "wentingyun/notebook1cad4c3f1d", "kernel_id": "106283144"}, {"ref": "benheinmichaelrubenl/vesuvius-3d-segmentation", "kernel_id": "106724699"}, {"ref": "caresment/vesuvius-winner-v4-correct-params", "kernel_id": "106714639"}, {"ref": "caresment/vesuvius-winner-v2-submit", "kernel_id": "106633684"}, {"ref": "caresment/vesuvius-winner-v3-clean", "kernel_id": "106634461"}, {"ref": "caresment/vesuvius-winner-v1-tpu-test", "kernel_id": "106377960"}, {"ref": "crischir/pix2pix-filter-tpu", "kernel_id": "107583866"}, {"ref": "crischir/pix2pix-1c-filter", "kernel_id": "107123277"}, {"ref": "crischir/mockup-pix2pix-default-resolution", "kernel_id": "107992528"}, {"ref": "thnhtt/vesuvius-inference-postprocess-fix-holes", "kernel_id": "107418913"}, {"ref": "poemcourt/inference-vesuvius-surface-3d-detection-060959", "kernel_id": "107274656"}, {"ref": "saniiikaa/vesuvius-v4", "kernel_id": "107545424"}, {"ref": "antonoof/eda-surface-detection", "kernel_id": "107979394"}, {"ref": "antonoof/surface-detection-simple-model", "kernel_id": "107982495"}, {"ref": "bayarcantrk/vesuvius-predtr", "kernel_id": "107755002"}, {"ref": "sponishflea/feeltheleacks", "kernel_id": "107780852"}, {"ref": "mohamedramadanm1/topology-splitting-3d-eda", "kernel_id": "107157946"}, {"ref": "mah20050/vesuvius-insights-deep-lnk-recovery", "kernel_id": "107059406"}, {"ref": "avikdas567/vesuvius-challenge-surface-detection", "kernel_id": "107614334"}, {"ref": "hsiaosuan/nnunet-environment-setup", "kernel_id": "107731780"}, {"ref": "syedfarazhussaini/vesuvius-challenge", "kernel_id": "107331037"}, {"ref": "sheshkanade/newbees", "kernel_id": "107594287"}, {"ref": "zhaojiahao0506/323856dd4aa", "kernel_id": "107860061"}, {"ref": "zhaojiahao0506/vesuvius-submit", "kernel_id": "107854421"}, {"ref": "berkutayasan/train-test-3d-segmentation-monai-u-net", "kernel_id": "107605129"}, {"ref": "vincenzorubino/vesuvius-v3-working", "kernel_id": "107390924"}, {"ref": "vincenzorubino/vesuvius-v2-baseline", "kernel_id": "107390703"}, {"ref": "vincenzorubino/vesuvius-ensemble-v1", "kernel_id": "107390367"}, {"ref": "vincenzorubino/vesuvius-v4-maxima", "kernel_id": "107391572"}, {"ref": "vincenzorubino/vesuvius-v7-conservative", "kernel_id": "107482083"}, {"ref": "vincenzorubino/vesuvius-v12-pro-submission", "kernel_id": "107784754"}, {"ref": "vincenzorubino/vesuvius-v13-enhanced-tta", "kernel_id": "107800866"}, {"ref": "vincenzorubino/vesuvius-v13-enhanced-tta-cc", "kernel_id": "107800942"}, {"ref": "bvasan08/notebook3913945856", "kernel_id": "107731460"}, {"ref": "anantharajahanustan/notebook2af4251a4d", "kernel_id": "107745634"}, {"ref": "satzzi/vesuvius-challenge-dummy", "kernel_id": "107682322"}, {"ref": "sword4949/vesuvius", "kernel_id": "108216235"}, {"ref": "crischir/pix2pix-2-5d-training-discriminator", "kernel_id": "108760962"}, {"ref": "crischir/pix2pix-2-5d-submission", "kernel_id": "108888551"}, {"ref": "crischir/pix2pix-2-5d-training-script", "kernel_id": "108534660"}, {"ref": "crischir/pix2pix-default-resolution", "kernel_id": "108323077"}, {"ref": "hossam82/vesuvius-predictions-1feb", "kernel_id": "108489203"}, {"ref": "tom99763/tensorrt-models-primus", "kernel_id": "108930015"}, {"ref": "iamparadox/tensorrt-install", "kernel_id": "108928392"}, {"ref": "rockerritesh/ensemble-dinov2-transunet", "kernel_id": "108734160"}, {"ref": "konstantinboyko/train-vesuvius-surface-3d-detection-200-images", "kernel_id": "108822435"}, {"ref": "billll/inference-vesuvius-challenge", "kernel_id": "108718550"}, {"ref": "sharmajicoder/vesuvius-challenge-surface-detection", "kernel_id": "108163629"}, {"ref": "manpenguin/vesuvius-voting-ensemble-priority-3", "kernel_id": "108718799"}, {"ref": "manpenguin/vesuvius-voting-ensemble-priority3", "kernel_id": "108766096"}, {"ref": "yqsuede/inference-3d-segmentation", "kernel_id": "108226054"}, {"ref": "prashantinimaniam/vesuvius-v1-whls", "kernel_id": "108321269"}, {"ref": "ryo0221/exp-20260202-107-transunet3d-debug-nb", "kernel_id": "108529504"}, {"ref": "ryo0221/exp-20260202-107-transunet3d-baseline", "kernel_id": "108523081"}, {"ref": "ryo0221/exp-20260202-106-nnunet3d-train", "kernel_id": "108472122"}, {"ref": "nihilisticneuralnet/vesuvius-3d-detection-inference-ensemble", "kernel_id": "108276613"}, {"ref": "ibratusmonov/04-02-2026-vesuvius-v1", "kernel_id": "108660520"}, {"ref": "ibratusmonov/02-02-2026-vesuvius-v3", "kernel_id": "108305662"}, {"ref": "serariagomes/0-546-vesuvius-3d-detection-inference-ensemble", "kernel_id": "108406285"}, {"ref": "suman2208/vsdetection-packages-offline-installer-only", "kernel_id": "108602823"}, {"ref": "pankajiitr/inference-vesuvius-challenge", "kernel_id": "108405054"}, {"ref": "zoli800/vesuvius-predictions-1feb-875da5", "kernel_id": "108575475"}, {"ref": "kunalinfinite/surface-nnunet-training-inference-all-a8c2bf", "kernel_id": "108255021"}, {"ref": "bayarcantrk/vesuvius-surface-pred-tr-1", "kernel_id": "108507119"}, {"ref": "yusufmurtaza01/model-training-vesuviusmonai", "kernel_id": "108765269"}, {"ref": "jorapro/inference-vesuvius-surface-3d-detection", "kernel_id": "108176664"}, {"ref": "tonylica/vesuvius-0-552", "kernel_id": "108471470"}, {"ref": "tonyai007/inference-vesuvius-surface-3d-detection-epoch-x5", "kernel_id": "108179645"}, {"ref": "tonyai007/inference-vesuvius-surface-3d-detection-test", "kernel_id": "108183292"}, {"ref": "baidalinadilzhan/lb-54-9-tuning", "kernel_id": "108406961"}, {"ref": "syedfarazhussaini/vesuvius-unsupervised-baseline", "kernel_id": "108924085"}, {"ref": "syedfarazhussaini/vesuvius-challenge-improved-v2", "kernel_id": "108996958"}, {"ref": "dragonaja/0-552-vesuvius-predictions", "kernel_id": "108798387"}, {"ref": "privatepiecerec/vesuvius-v2-v3-ensemble-tta-v7-topo-repair", "kernel_id": "108843481"}, {"ref": "privatepiecerec/vesuvius-v2-v3-ensemble-tta-v5", "kernel_id": "108842087"}, {"ref": "privatepiecerec/vesuvius-v2-v3-ensemble-tta-v6", "kernel_id": "108842120"}, {"ref": "privatepiecerec/vesuvius-v2-v3-ensemble-tta-v2", "kernel_id": "108840588"}, {"ref": "privatepiecerec/vesuvius-v2-v3-ensemble-tta", "kernel_id": "108840350"}, {"ref": "privatepiecerec/vesuvius-v2-v3-ensemble-tta-v3", "kernel_id": "108841567"}, {"ref": "privatepiecerec/vesuvius-v2-v3-ensemble-tta-v4", "kernel_id": "108841748"}, {"ref": "trishanthmellimi/vesuvius-v2", "kernel_id": "108596845"}, {"ref": "harukiharada/surface-detection-optimized-single-model-solution", "kernel_id": "108453557"}, {"ref": "harukiharada/advanced-ensemble-xgb-lgbm-cat-hgb", "kernel_id": "108727329"}, {"ref": "ayahehehe/notebook7d7f5e0373", "kernel_id": "108316914"}, {"ref": "vishwasupadhyay/inference-vesuvius-surface-3d-detection", "kernel_id": "108810759"}, {"ref": "kiza123123/trorr", "kernel_id": "108505989"}, {"ref": "zhaojiahao0506/vesuvius-submit2", "kernel_id": "108863056"}, {"ref": "zhaojiahao0506/vesuvius123", "kernel_id": "108640001"}, {"ref": "zhaojiahao0506/submission23", "kernel_id": "108555408"}, {"ref": "berkutayasan/inference-3d-segmentation-unetr", "kernel_id": "108250448"}, {"ref": "satzzi/ves-first-pth", "kernel_id": "108044361"}, {"ref": "thomaspayette/vesuvius-challenge", "kernel_id": "108631995"}, {"ref": "ren4yu/vesuvius-nnunet-ensemble-rot90", "kernel_id": "109616113"}, {"ref": "crischir/jax-pix2pix", "kernel_id": "109143189"}, {"ref": "crischir/pix2pix-2-5d-retraining-discriminator", "kernel_id": "109071784"}, {"ref": "crischir/test-code-for-jax-pix2pix", "kernel_id": "109312571"}, {"ref": "crischir/2-5d-filter-and-retromasking", "kernel_id": "109717864"}, {"ref": "crischir/3d-2-5d-toolbox", "kernel_id": "109773266"}, {"ref": "crischir/prewitt-loss-model-jax-pix2pix", "kernel_id": "109500203"}, {"ref": "crischir/2-5d-filter-training-pix2pix-pred-mask", "kernel_id": "109565859"}, {"ref": "crischir/tpu-training-jax-pix2pix", "kernel_id": "109964345"}, {"ref": "arunodhayan/nnunet-1-rot-tta-ensemble-cascade-no-fillin-0522f9", "kernel_id": "109355717"}, {"ref": "tom99763/tensorrt-models-refine-v1", "kernel_id": "109779674"}, {"ref": "tom99763/tensorrt-models-refine-v2-4ch-more-epoch", "kernel_id": "109732829"}, {"ref": "tom99763/tensorrt-models-refine-v2-4ch", "kernel_id": "109677497"}, {"ref": "tom99763/tensorrt-models-primus-v2", "kernel_id": "109499018"}, {"ref": "rockerritesh/0-483-dinov2-2-5d-inference", "kernel_id": "109746520"}, {"ref": "earl28/inference-nnunet-inference-w-pp", "kernel_id": "109849887"}, {"ref": "zy1343930734/nnunet-notebook-ensemble", "kernel_id": "109756552"}, {"ref": "tonyai007/vesuvius-seresnext50-comboloss-830ft", "kernel_id": "109826155"}, {"ref": "tonyai007/train-vesuvius-seresnext50-comboloss", "kernel_id": "109704826"}, {"ref": "syedfarazhussaini/vesuvius-challenge-improved-v3", "kernel_id": "109357409"}, {"ref": "syedfarazhussaini/vesuvius-pretrained-inference-v4-keras", "kernel_id": "109410591"}, {"ref": "safaeouallal/vesuvius-challengee", "kernel_id": "109466625"}, {"ref": "hengck23/deep-supervised-unet3d-and-2-refinement", "kernel_id": "110839096"}, {"ref": "ren4yu/fork-of-vesuvius-nnunet-ensemble-rot90", "kernel_id": "110899336"}, {"ref": "crischir/3d-vesuvius-posprocttrain", "kernel_id": "110245713"}, {"ref": "crischir/3d-2-5d-toolbox-gated-mix", "kernel_id": "110322047"}, {"ref": "crischir/jax-pix2pix-inference-postprocess-2", "kernel_id": "110116998"}, {"ref": "crischir/cldice-tpu-training-pix2pix", "kernel_id": "110872451"}, {"ref": "crischir/2-5d-filter-inference-postprocess-2", "kernel_id": "110839836"}, {"ref": "crischir/25d-filter-pix2pix", "kernel_id": "110752747"}, {"ref": "crischir/2-5d-filter-experiments-cc3d-topology", "kernel_id": "110636311"}, {"ref": "cdeotte/train-bronze-medal-nnunet-by-chatgpt", "kernel_id": "110880760"}, {"ref": "cdeotte/infer-bronze-medal-nnunet-by-chatgpt", "kernel_id": "110880894"}, {"ref": "sersasj/complete-sequential-pipeline-5-stages-finalsub", "kernel_id": "110800079"}, {"ref": "sugupoko/v30-4-group-ensemble-blend-blur-bright-lowco", "kernel_id": "110465944"}, {"ref": "tom99763/tensorrt-models-refine-v1-3nd-stage", "kernel_id": "110382400"}, {"ref": "tom99763/complete-sequential-pipeline-6-stages", "kernel_id": "110712197"}, {"ref": "iamparadox/newrefinev1-tensorrt", "kernel_id": "110658992"}, {"ref": "rockerritesh/inference-vesuvius-surface-3d-detection", "kernel_id": "110819797"}, {"ref": "billll/inference-vesuvius-surface-3d-detection", "kernel_id": "110767580"}, {"ref": "engadamalmohammedi/vs3dd-mixf16mgpu", "kernel_id": "110938649"}, {"ref": "mariusheuser/interference-with-global-interpolation", "kernel_id": "110930886"}, {"ref": "mariusheuser/local-interpolation-interference", "kernel_id": "110837702"}, {"ref": "blueshyy/ensemble", "kernel_id": "110769603"}, {"ref": "cudacoding/final-stage1-stage2-hard-thre", "kernel_id": "110775915"}, {"ref": "tonylica/nnunet-4-model-7-5-2-1-final-submit-so-long", "kernel_id": "110805484"}, {"ref": "tonyai007/train-vesuvius-seresnext50-comboloss-5", "kernel_id": "110208686"}, {"ref": "tonyai007/train-vesuvius-seresnext50-comboloss-4", "kernel_id": "110185336"}, {"ref": "tonyai007/train-vesuvius-seresnext50-comboloss-3", "kernel_id": "110156391"}, {"ref": "tonyai007/train-vesuvius-seresnext50-comboloss-2", "kernel_id": "110133654"}, {"ref": "guillermopetcho/vesuviuschallenge-surface-skeletonize-strategy", "kernel_id": "110934509"}, {"ref": "gauravparkhedkar/inference-vesuvius-surface-3d-detection", "kernel_id": "110817712"}, {"ref": "mukulghai/nnunet-4-model-7-5-2-1-final-submit-so-long", "kernel_id": "110933569"}, {"ref": "dragonaja/inference-vesuvius-surface-3d-detection-test", "kernel_id": "110277624"}, {"ref": "shawnjuyangke/inference-vesuvius-surface-3d-detection-2cefd5", "kernel_id": "110836336"}, {"ref": "mohanarc/pytorch-dataloaders-for-heavy-datasets-demo", "kernel_id": "111222363"}, {"ref": "mohanarc/pytorch-dataloaders-demo", "kernel_id": "111047907"}, {"ref": "mohanarc/tensorflow-data-pipeline-demo", "kernel_id": "111965823"}, {"ref": "mohanarc/tf-data-pipeline-for-heavy-datasets", "kernel_id": "111989580"}, {"ref": "crischir/masking-2-5d-dataset-before-3d-inference", "kernel_id": "111081535"}, {"ref": "crischir/2-5d-filter-vesuvius-showcase", "kernel_id": "111268307"}, {"ref": "crischir/25d-filter-inference-pix2pix", "kernel_id": "111240938"}, {"ref": "pr4deepr/wnet3d-nnunet-ensemble-125th-place", "kernel_id": "111035439"}, {"ref": "tom99763/writeup-exp-with-various-post-proc-5-stages", "kernel_id": "111063141"}, {"ref": "osman0/vesuvius-surface-train-tpu", "kernel_id": "111047903"}, {"ref": "tonylica/vesuvius-lb-0-627-inference-package", "kernel_id": "111350051"}, {"ref": "jessiegrubaugh/notebook5f184bfe8c", "kernel_id": "111016380"}, {"ref": "smithaworks/vesuvis-new-one", "kernel_id": "113659823"}, {"ref": "laoyongchneg/inference-vesuvius-surface-3d-detection-eef959", "kernel_id": "122114219"}, {"ref": "universeawaken/notebooka833b53989", "kernel_id": "126542681"}, {"ref": "vigneshk96/vesuvius-skelrecall700-fulldata-nopp-submission", "kernel_id": "130338520"}]}
{"competition_id": "117710", "kernels": [{"ref": "twchyin/notebookfc68c0fb02", "kernel_id": "102585937"}]}
{"competition_id": "117717", "kernels": [{"ref": "hmnshudhmn24/crab-agent-score-1-33029", "kernel_id": "106645831"}]}
{"competition_id": "117721", "kernels": []}
{"competition_id": "117722", "kernels": []}
{"competition_id": "117724", "kernels": [{"ref": "dickfrommountain/compet1", "kernel_id": "105245805"}]}
{"competition_id": "117726", "kernels": [{"ref": "neelen/notebook9738cd8c47", "kernel_id": "104104857"}, {"ref": "dickfrommountain/compet3", "kernel_id": "105338447"}, {"ref": "embrace927/notebookbbbd402738", "kernel_id": "124914050"}, {"ref": "liuyyangliu/notebook26d5647c24", "kernel_id": "125409694"}, {"ref": "embrace927/notebook", "kernel_id": "125296696"}, {"ref": "zifbest/eeeeawewqe", "kernel_id": "130568992"}, {"ref": "zifbest/notebook127921f361", "kernel_id": "130985066"}]}
{"competition_id": "117735", "kernels": []}
{"competition_id": "117836", "kernels": []}
{"competition_id": "117850", "kernels": []}
{"competition_id": "117866", "kernels": []}
{"competition_id": "117868", "kernels": []}
{"competition_id": "117876", "kernels": [{"ref": "noorchauhan/cotton-weed-detection-challenge-starter-notebook", "kernel_id": "96042604"}, {"ref": "antonoof/predicts-weeds", "kernel_id": "96512854"}, {"ref": "antonoof/weed-detection-model", "kernel_id": "96930513"}, {"ref": "ruhul20/dengue-detection-yolo11s", "kernel_id": "97091285"}, {"ref": "kazuto114/the-3lc-cotton-weed-detection-challenge", "kernel_id": "98012216"}, {"ref": "antonoof/top-1-private-clear", "kernel_id": "98441249"}, {"ref": "bingos/cotton-weed", "kernel_id": "100549652"}, {"ref": "nishantvalvi1504/the-3lc-cotton-weed-detection-challenge", "kernel_id": "101892609"}, {"ref": "priyamsaha17/cotton-weed-detection-using-yolov8n", "kernel_id": "102536639"}, {"ref": "priyamsaha17/cotton-weed-detection-using-yolov8n-v2", "kernel_id": "102792865"}, {"ref": "nikita7364777/3lc-yolov8-it-seems-to-be-ok", "kernel_id": "102583272"}, {"ref": "antonoof/fine-tuning-optuna-data", "kernel_id": "102343614"}, {"ref": "antonoof/fine-tuning-optuna-predicts", "kernel_id": "102346768"}, {"ref": "wangyiz/robust-cotton-weed-detection-with-yolov8n", "kernel_id": "105798337"}, {"ref": "wangyiz/robust-cotton-weed-detection", "kernel_id": "105796928"}, {"ref": "arushiagrawal123/prediction-weed", "kernel_id": "112936878"}]}
{"competition_id": "117896", "kernels": []}
{"competition_id": "117897", "kernels": []}
{"competition_id": "117899", "kernels": []}
{"competition_id": "117942", "kernels": []}
{"competition_id": "117946", "kernels": [{"ref": "skz0407/2025iyatomilabcompetition-baseline", "kernel_id": "96953992"}]}
{"competition_id": "117950", "kernels": []}
{"competition_id": "117952", "kernels": [{"ref": "simenwold/nabla-case-3-0", "kernel_id": "95345706"}]}
{"competition_id": "117974", "kernels": [{"ref": "sharan012/notebook95465004b7", "kernel_id": "95394752"}]}
{"competition_id": "118016", "kernels": [{"ref": "jhsander39/template-sample", "kernel_id": "95415648"}]}
{"competition_id": "118072", "kernels": [{"ref": "mariamolodnitskaya/molodnitskaya-maria", "kernel_id": "96852546"}, {"ref": "arinashustova/shustovaarina-claster", "kernel_id": "97299472"}, {"ref": "reinaldyhutapea/kmeans-12s22010-reinaldy-hutapea", "kernel_id": "101437382"}, {"ref": "jopelsimarmata/12s23036-jopel-simarmata-k-means", "kernel_id": "101430345"}, {"ref": "chintyareginauli/12s23045-chintya-rajagukguk", "kernel_id": "101427218"}, {"ref": "graciapardede/12s23044-gracia", "kernel_id": "101980912"}, {"ref": "alifaflahsuedi/12s23025-alif-aflah-suedi-kmeans", "kernel_id": "101436901"}, {"ref": "dinamrlnn/12s23009-k-means-clustering-dina-marlina-siagian", "kernel_id": "101682529"}, {"ref": "alyatriswani/12s23038-alya-triswani-k-means-comp", "kernel_id": "102452226"}, {"ref": "frankniroysiahaan/k-means-12s23016-frank-niroy-siahaan", "kernel_id": "102332881"}, {"ref": "sintonghutapea/12s23029-sintong", "kernel_id": "102540640"}, {"ref": "arifdoloksaribu/12s23026-arif-m-doloksaribu-kmeans", "kernel_id": "102329797"}, {"ref": "juliuskaisar/12ss23035-julius-sinaga-penguin", "kernel_id": "102550118"}, {"ref": "lisbethpanjaitan/12s23041-lisbeth-panjaitan-kmeans", "kernel_id": "102095468"}, {"ref": "kesam2407/12s23015-kevin-samosir", "kernel_id": "102431421"}, {"ref": "rachelsimorangkir/rachel-c-p-simorangkir-12s23020", "kernel_id": "102452107"}, {"ref": "joysilalahi/joysilalahi-12s23007-kmean", "kernel_id": "102326207"}, {"ref": "amosraphaelmanurung/12s23027-amos-manurung-k-means", "kernel_id": "102541049"}, {"ref": "jennifer047/12s23047-jennifer-sihotang-k-means", "kernel_id": "102341754"}, {"ref": "priscamanurung/12s23039-priscamanurung-k-means", "kernel_id": "102338409"}, {"ref": "simorangkirjonathans/12s23030-simorangkirjon", "kernel_id": "102342223"}, {"ref": "cardolansinaga/12s23006-cardolan-sinaga", "kernel_id": "102452126"}, {"ref": "cardolansinaga/12s23006-cardolan-sinaga-kmeans", "kernel_id": "102508342"}, {"ref": "thrsiaas/12s23051-theresiaa", "kernel_id": "102557002"}, {"ref": "sepriansiagian/k-means-12s23032-seprian-siagian", "kernel_id": "102426946"}, {"ref": "arichiveee/pariama-12s23034", "kernel_id": "102405960"}, {"ref": "andikanadapdap/12s23013", "kernel_id": "102407801"}, {"ref": "andikanadapdap/12s23013-andika-nadapdap-k-means", "kernel_id": "102539115"}, {"ref": "clarasiasimanjuntak/12s23019-clarasial-simanjuntak", "kernel_id": "102465179"}, {"ref": "poppysibuea/12s23004-poppy-sibuea-k-means", "kernel_id": "102427846"}, {"ref": "kevingultom/12s23001-kevingultom-k-means", "kernel_id": "102403863"}, {"ref": "genesispanjaitan/12s23012-genesis", "kernel_id": "102405981"}, {"ref": "yolandassaragih/12s23050", "kernel_id": "102247741"}, {"ref": "anastasyashn/notebook6e1073fd14", "kernel_id": "102432710"}, {"ref": "eunikepurba/12s23021-eunike-k-means", "kernel_id": "102400671"}, {"ref": "dianamanurung/dianamanurung-12s23040-kaggle", "kernel_id": "102215293"}, {"ref": "danielsitumorang1/12s23028-daniel-si", "kernel_id": "102513731"}, {"ref": "ariellaucsihombing/ariella-u-c-sihombing-12s23005-kmeans", "kernel_id": "102447718"}, {"ref": "tiffanirumiris/12s23010-tiffani-r", "kernel_id": "102121995"}, {"ref": "tiffanirumiris/12s23010-tiffani-k-means", "kernel_id": "102329904"}, {"ref": "lennihutapea/lenni-febriyani-k-means", "kernel_id": "102447452"}, {"ref": "santasitorus/p-santa-sitorus-12s23022", "kernel_id": "102549093"}, {"ref": "clarissnt/12s23049-clarissa", "kernel_id": "102515811"}, {"ref": "chrismansyahtsiahaan/12s23003-chrismansyah-t-s", "kernel_id": "102409503"}, {"ref": "eskaaya/k-means-12s23024-eska-silaen", "kernel_id": "102219133"}, {"ref": "andreyjonathan/notebooka3af750af4", "kernel_id": "102542001"}, {"ref": "gracecaldera/12s23048-grace-caldera-k-means", "kernel_id": "102485875"}, {"ref": "aldipanggabean/14s22035-aldi-gratias-panggabean-k-means", "kernel_id": "102552648"}, {"ref": "earlynathali/early-12s23018-k-means", "kernel_id": "102397611"}, {"ref": "prettymariapurba/pretty-maria-purba-k-means", "kernel_id": "102246440"}, {"ref": "oloanbonarnainggolan/12s23033-oloan-nainggolan-k-means", "kernel_id": "102405724"}, {"ref": "jahongirtuychiyev/clustering-penguins", "kernel_id": "132328847"}]}
{"competition_id": "118084", "kernels": []}
{"competition_id": "118086", "kernels": []}
{"competition_id": "118088", "kernels": []}
{"competition_id": "118092", "kernels": []}
{"competition_id": "118094", "kernels": []}
{"competition_id": "118118", "kernels": []}
{"competition_id": "118119", "kernels": []}
{"competition_id": "118120", "kernels": [{"ref": "laskowskijakub/weakly-supervised-crack-segmentation", "kernel_id": "129169492"}]}
{"competition_id": "118135", "kernels": [{"ref": "ksenia395/breast-cancer-diagnosis-using-logistic-regression", "kernel_id": "107376800"}]}
{"competition_id": "118136", "kernels": []}
{"competition_id": "118149", "kernels": []}
{"competition_id": "118152", "kernels": [{"ref": "christiangck/competitionsolution-template", "kernel_id": "95782707"}, {"ref": "hmnshudhmn24/wedowind-energy-fault-detector-challenge", "kernel_id": "108808532"}]}
{"competition_id": "118153", "kernels": []}
{"competition_id": "118156", "kernels": []}
{"competition_id": "118159", "kernels": []}
{"competition_id": "118162", "kernels": []}
{"competition_id": "118164", "kernels": []}
{"competition_id": "118171", "kernels": []}
{"competition_id": "118258", "kernels": [{"ref": "craftycode/ufc-winner-prediction", "kernel_id": "96108198"}, {"ref": "yurajakadari/fork-of-yuraja-kadari-ufc-fight-prediction", "kernel_id": "105093464"}, {"ref": "yurajakadari/yuraja-kadari-ufc-fight-prediction", "kernel_id": "105092201"}]}
{"competition_id": "118263", "kernels": []}
{"competition_id": "118276", "kernels": [{"ref": "alanamonks/biosignal-lgb-optuna-for-finding-params", "kernel_id": "108409807"}, {"ref": "hmnshudhmn24/bio-signal-intelligence-smoker-status-prediction", "kernel_id": "108398468"}]}
{"competition_id": "118278", "kernels": [{"ref": "laurendcosta/biobeats-predicting-smoking-status", "kernel_id": "115899172"}, {"ref": "laurendcosta/pca-clustering", "kernel_id": "115857093"}]}
{"competition_id": "118281", "kernels": []}
{"competition_id": "118284", "kernels": [{"ref": "imsaeid/crop-yield-prediction-challenge-starter-notebook", "kernel_id": "95892595"}, {"ref": "gvalentini/crop-yield-prediction-in-r", "kernel_id": "96922665"}, {"ref": "jimgruman/crop-yield", "kernel_id": "96129158"}, {"ref": "dureyashfeen/crop-yield-and-sensor-summary", "kernel_id": "96237990"}, {"ref": "craftycode/crop-yields-prediction", "kernel_id": "96540397"}, {"ref": "scirpus/crop-gp", "kernel_id": "97659805"}, {"ref": "scirpus/silly-model", "kernel_id": "97662631"}, {"ref": "scirpus/long-time-no-see", "kernel_id": "97240696"}, {"ref": "scirpus/long-time-no-see-ii", "kernel_id": "97249301"}, {"ref": "ansarimohammedafzal3/crop-yield-prediction", "kernel_id": "97666857"}, {"ref": "malaksola/crop-yield-challenge", "kernel_id": "98766132"}, {"ref": "craftycode/crop-yield-prediction-notebook-loss-0-403341", "kernel_id": "101559240"}, {"ref": "tugcebasyigit/crop-yield-prediction-with-ml", "kernel_id": "116214425"}]}
{"competition_id": "118412", "kernels": []}
{"competition_id": "118414", "kernels": [{"ref": "swas06/tabletennis-modelling", "kernel_id": "96119296"}]}
{"competition_id": "118448", "kernels": [{"ref": "mrearthworm/optical-to-sar-by-cda-gan-training", "kernel_id": "92375077"}, {"ref": "nguyenducminhman/missforest", "kernel_id": "92118427"}, {"ref": "ryanholbrook/aimo-3-submission-demo", "kernel_id": "99762407"}, {"ref": "thangkth/evlauationllama", "kernel_id": "100735236"}, {"ref": "cpmpml/nvidia-smi", "kernel_id": "101750856"}, {"ref": "pushkin05/qwen-3-4b-thinking-2507-in-under-6-minutes", "kernel_id": "101920093"}, {"ref": "seshurajup/kaggle-nvidia-h100-80gb-hbm3", "kernel_id": "101763299"}, {"ref": "seshurajup/aimo-3-gpt-oss-120b-3hours-wow-h100", "kernel_id": "101783660"}, {"ref": "seshurajup/aimo3-utility-notebook-dependency", "kernel_id": "101790707"}, {"ref": "huikang/streaming-inference", "kernel_id": "101840497"}, {"ref": "mpwolke/gemma-what-s-the-remainder-h100-2m12s", "kernel_id": "101767981"}, {"ref": "dedquoc/ai-aimo3-solver-eda-v2", "kernel_id": "101856957"}, {"ref": "bibanh/aimo3-qwen3-32b", "kernel_id": "101833277"}, {"ref": "crodoc/short-code-iterating", "kernel_id": "101976479"}, {"ref": "mahmoudashraf7400/ai-math-olympaid", "kernel_id": "101883296"}, {"ref": "joseluissz/pip-install-aimo3-jl", "kernel_id": "101972908"}, {"ref": "theunforgiven7/aimo-3-baseline-gpt-oss-20b", "kernel_id": "101815373"}, {"ref": "miadul/aimo-3-demo-submission", "kernel_id": "101993991"}, {"ref": "mahmoudabdshafy/aimo-3-ultimate-wheels", "kernel_id": "101961552"}, {"ref": "nihilisticneuralnet/aimo-3-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "101739924"}, {"ref": "nihilisticneuralnet/aimo-3-starter-deepseek-r1-distill-qwen", "kernel_id": "101920888"}, {"ref": "n09nikhil/simple-submission", "kernel_id": "101781866"}, {"ref": "mccocoful/5f7bfb", "kernel_id": "101978882"}, {"ref": "abhiram101/notebookbcfd128474", "kernel_id": "101908547"}, {"ref": "yashwanthhn37/aimoc", "kernel_id": "101958971"}, {"ref": "friederrr/aimo-3-submission-demo-notebook-2-2", "kernel_id": "101737414"}, {"ref": "friederrr/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "101737811"}, {"ref": "fundolafernando/ai-mathematical-olympiad-progress-prize", "kernel_id": "101808150"}, {"ref": "mdferozahmedafm/ai-mathematical-olympiad-aimo-competition", "kernel_id": "101938334"}, {"ref": "harrylee02/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "101823185"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "mhizdhii/aimo3-smart-solver", "kernel_id": "101877697"}, {"ref": "rohitprajapati315/notebooke418624a35", "kernel_id": "101822440"}, {"ref": "rahulkumarjangid/notebook572841311f", "kernel_id": "101849006"}, {"ref": "ananya560/aimo-3-submission-demo", "kernel_id": "101930444"}, {"ref": "sumanghosh2008p/notebookf3eb2ca1cf", "kernel_id": "101843473"}, {"ref": "nagadeekshith171220n/notebook0ab7ce1e3a", "kernel_id": "101856981"}, {"ref": "kaminipriyau23en046/notebook77c09a8429", "kernel_id": "101821572"}, {"ref": "vedika240307/notebook2400ac5fb7", "kernel_id": "101834626"}, {"ref": "solokop/ai-mathematical-olympiad-progress-prize-3-cpu", "kernel_id": "102842786"}, {"ref": "solokop/aimo3-gpu-submission", "kernel_id": "102981331"}, {"ref": "seshurajup/aimo-3-gpt-oss-120b-agentic-solver", "kernel_id": "102140523"}, {"ref": "huikang/pip-install-aimo3-1", "kernel_id": "102302853"}, {"ref": "huikang/streaming-inference-private", "kernel_id": "102748706"}, {"ref": "huikang/streaming-inference-tool-calling", "kernel_id": "102822045"}, {"ref": "takuji/aimo-3-baseline-gpt-oss-120b", "kernel_id": "102333224"}, {"ref": "smartmanoj/batch-invariance-test-mre", "kernel_id": "102940054"}, {"ref": "ravikshdikola/best-score-so-far", "kernel_id": "102685300"}, {"ref": "yeoyunsianggeremie/eagle3-speculative-decoding", "kernel_id": "102738869"}, {"ref": "konstantinboyko/aimo-2025-01-01-15-qwen3-30b-a3b-think-2507-fp8", "kernel_id": "102484184"}, {"ref": "datlq1202/h100-gen", "kernel_id": "102739363"}, {"ref": "itsyoursumit/submission-parquet", "kernel_id": "102208118"}, {"ref": "itsyoursumit/aimo-3-submission-demo", "kernel_id": "102009603"}, {"ref": "pranshubahadur/aimo3-dapi-is-vllm-si-top-3-aimo2-pot-cot", "kernel_id": "102749862"}, {"ref": "pranshubahadur/aimo-3-gpt-oss-20b-top-3-aimo2-pot-cot", "kernel_id": "102569089"}, {"ref": "mr0106/matholympiadpro1", "kernel_id": "102987426"}, {"ref": "mr0106/ai-mathematical-olympiad", "kernel_id": "102979417"}, {"ref": "mr0106/matholympiadpro", "kernel_id": "102982637"}, {"ref": "lokeshyarramallu/fyp-adaptive-kl", "kernel_id": "102565970"}, {"ref": "kawchar85/lb-25-streaming-inference-prompting", "kernel_id": "102677570"}, {"ref": "amalsp220/aimo-3-advanced-mathematical-reasoning", "kernel_id": "102318294"}, {"ref": "yiyangzheng/vllm0102-patch", "kernel_id": "102962505"}, {"ref": "madarshbb/aimo-3-baseline-llm-variants", "kernel_id": "102408310"}, {"ref": "madarshbb/streaming-inference-with-speculative-decoding", "kernel_id": "102999129"}, {"ref": "shelterw/aimo-3-baseline-w-python", "kernel_id": "102141898"}, {"ref": "shelterw/aimo3-vibethinker-1-5b", "kernel_id": "102246316"}, {"ref": "icebeam777/ib-aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "102385756"}, {"ref": "nihilisticneuralnet/aimo3-streaming-inference-reflexion-prompting", "kernel_id": "102989613"}, {"ref": "sufya6/aimo-3-vllm-pot", "kernel_id": "102887322"}, {"ref": "eyestrain/vllm-0-11-2-for-aimo-3", "kernel_id": "102613291"}, {"ref": "sefixnep/vllm-server-and-custom-prompt", "kernel_id": "102366305"}, {"ref": "shaunakmajumdar/kaggle-h100-ir", "kernel_id": "102741580"}, {"ref": "koushikkumardinda/ai-mathematical-olympiad", "kernel_id": "102302959"}, {"ref": "nurikw3/streaming-inference", "kernel_id": "102725916"}, {"ref": "nurikw3/aimo-3-gpt-oss-120b-agentic-solver", "kernel_id": "102716942"}, {"ref": "nurikw3/openai-api-server", "kernel_id": "102920189"}, {"ref": "nurikw3/replplusplus-plus-china", "kernel_id": "102959193"}, {"ref": "datlq122/h100-xin", "kernel_id": "102770811"}, {"ref": "ramanofthesky/aimo-3-submission", "kernel_id": "102962549"}, {"ref": "haradibots/second-try", "kernel_id": "102331026"}, {"ref": "llkh0a/aimo-3-gpt-oss-120b-constructed-prompt", "kernel_id": "102377584"}, {"ref": "mata3111v/r-kaggle-gpu", "kernel_id": "102244591"}, {"ref": "adityatrivedii/video-inference-and-sort", "kernel_id": "102333642"}, {"ref": "svo1488zov/untitled0-7", "kernel_id": "102709917"}, {"ref": "teambear/aimo3-utility-notebook-vllm-10", "kernel_id": "102178311"}, {"ref": "esperaakakpo/aimo3-utility-notebook-dependency-install", "kernel_id": "102257520"}, {"ref": "esperaakakpo/aimo3-deps-vllm", "kernel_id": "102288929"}, {"ref": "sachchidanandadaki/aimo-3-submission", "kernel_id": "102258539"}, {"ref": "sachchidanandadaki/vllm-wheels", "kernel_id": "102245296"}, {"ref": "zhuyifanss/linedetect", "kernel_id": "102844364"}, {"ref": "pragnyanramtha/ai-math", "kernel_id": "102317922"}, {"ref": "digitalbloger/ai-mathematical-olympiad-santu-saha", "kernel_id": "102784002"}, {"ref": "paijolemu/draft", "kernel_id": "102218749"}, {"ref": "nocarbonintelligence/ai-maths-deepseekmath", "kernel_id": "102185305"}, {"ref": "adrienthomas/aimo-3-submission-demo", "kernel_id": "102630565"}, {"ref": "namanmittal006/version-19-final-submission", "kernel_id": "102312754"}, {"ref": "namanmittal006/notebookecb82f4c27", "kernel_id": "102105928"}, {"ref": "mayuresh2010/aimo-3-baseline-gpt-oss-20b", "kernel_id": "102213954"}, {"ref": "gpradeepharish/notebook9f149516e2", "kernel_id": "102363287"}, {"ref": "garrepalliruwankumar/aimo-solver-v1-0", "kernel_id": "102161634"}, {"ref": "gssreshta/qwen-n-starter-aimo", "kernel_id": "102332610"}, {"ref": "sachinchaudhary14184/notebookc8c9953ab5", "kernel_id": "102073052"}, {"ref": "pascalwenker/aimo3-dependencies", "kernel_id": "102450769"}, {"ref": "listenyash23/h100-notebook", "kernel_id": "102343918"}, {"ref": "shrihariabhang/notebookfbea0a1a56", "kernel_id": "102035461"}, {"ref": "ruotianpeng/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "102062816"}, {"ref": "tvmilitary/aimo3-starter-6-cell-baseline", "kernel_id": "102545307"}, {"ref": "jkyghoi77/deepseek-r1-agentic-solver", "kernel_id": "102922023"}, {"ref": "nathanford/best-notebook-v1", "kernel_id": "103920408"}, {"ref": "usharengaraju/aimo3-nvidia-nim", "kernel_id": "103961274"}, {"ref": "markwang/aimo-3-baseline-gpt-oss-120b", "kernel_id": "103805939"}, {"ref": "solokop/aimo3-gpu-eval", "kernel_id": "103531872"}, {"ref": "dcashm01/aimo-3-baseline-gpt-oss-120b-test-lap", "kernel_id": "103807674"}, {"ref": "leegang0911/lmdeploy-install", "kernel_id": "103966038"}, {"ref": "thevivekpandey/notebook2-2-3-thoughts", "kernel_id": "103361055"}, {"ref": "hvanphucs112/pip-aimo3-vllm0-11-2", "kernel_id": "103696164"}, {"ref": "liuyanfeng/27-50-streaming-inference-reflexion-prompting", "kernel_id": "103036481"}, {"ref": "canqiang/self-consistency-strategy", "kernel_id": "103039100"}, {"ref": "dedquoc/aimo3-pipeline-deterministic-llm-consensus", "kernel_id": "103034838"}, {"ref": "baohaoliao/lmdeploy-package", "kernel_id": "103308114"}, {"ref": "smartmanoj/vcpu-check", "kernel_id": "103144155"}, {"ref": "ninamaamary/aimo-ez-start-qwen1-5b-zero-shot-cot", "kernel_id": "103160067"}, {"ref": "ninamaamary/qwen3-14b-zero-shot-cot-self-consistency", "kernel_id": "103263606"}, {"ref": "konstantinboyko/pip-install-aimo3-1", "kernel_id": "103639332"}, {"ref": "konstantinboyko/pip-install-aimo3-1-gpt-oss-vllm-0-12-0", "kernel_id": "103642822"}, {"ref": "onlinetutor1/best-notebook-v1", "kernel_id": "103788334"}, {"ref": "mahmoudabdshafy/aimo3-utility", "kernel_id": "103694202"}, {"ref": "defdet/lora-merge-and-upload", "kernel_id": "103291092"}, {"ref": "junlaii/aimo3-simple-baseline", "kernel_id": "103377600"}, {"ref": "threerabbits/gpt-oss-120b-cache-compile", "kernel_id": "103535285"}, {"ref": "threerabbits/launch-gpt-oss-120b-in-6mins", "kernel_id": "103535126"}, {"ref": "avishekrauniyar/brain-to-text", "kernel_id": "103487686"}, {"ref": "shelterw/aimo3-sglang-deterministic-inference", "kernel_id": "103041756"}, {"ref": "shelterw/pip-install-sglang", "kernel_id": "103038610"}, {"ref": "shelterw/way-to-30-50-gpt-oss-w-python-tool", "kernel_id": "103442738"}, {"ref": "shelterw/gpt-oss-120b-cache-compile", "kernel_id": "103954193"}, {"ref": "nihilisticneuralnet/25-50-optimized-w-sampling-and-early-stopping", "kernel_id": "103309005"}, {"ref": "kbrutal/i-give-up-on-life", "kernel_id": "103160626"}, {"ref": "quangnguyen711/fake-imo-vqa", "kernel_id": "103539350"}, {"ref": "daltongabrielomondi/inference-reflexion-prompting", "kernel_id": "103291069"}, {"ref": "bougouza/notebook-yacine09", "kernel_id": "103582987"}, {"ref": "nthuy07/entrep-vlm-inference", "kernel_id": "103611176"}, {"ref": "bechirdardouri/qwen3-expl", "kernel_id": "103375493"}, {"ref": "atharavbandewar/notebook132a1ab9d1", "kernel_id": "103395535"}, {"ref": "logiclab/aimo3-utility-notebook", "kernel_id": "103614759"}, {"ref": "riddhimanpaul708/utility", "kernel_id": "103838234"}, {"ref": "qunnedmoney/dpl302m-diffusion-based-for-image-colorization", "kernel_id": "103281864"}, {"ref": "haradibots/remake-this-with-best-way", "kernel_id": "103548835"}, {"ref": "rajkumarsarraf/imo-maths-olympiad", "kernel_id": "103265193"}, {"ref": "doan1809/hopper-kaggle", "kernel_id": "103024614"}, {"ref": "codymachody/aimo3-utility-notebook-v8", "kernel_id": "103594577"}, {"ref": "teambear/pip-install-aimo3-12", "kernel_id": "103709595"}, {"ref": "teambear/pip-install-aimo3-1-gpt-oss-vllm-0-12-0", "kernel_id": "103698656"}, {"ref": "giovannyrodrguez/vllm-0-10-2", "kernel_id": "103617605"}, {"ref": "hyh273279/27-50-streaming-inference-reflexion-prompting", "kernel_id": "103045384"}, {"ref": "saireddypothireddy/domain-aware-ensemble-solver", "kernel_id": "103416931"}, {"ref": "pavanh14/notebookdbd5d176d9", "kernel_id": "103243097"}, {"ref": "joacyguilherme/aimo-3-submission-demo", "kernel_id": "103162114"}, {"ref": "raviganjir/notebook1b6e2a5de7", "kernel_id": "103857805"}, {"ref": "edkamesh/aime-comp", "kernel_id": "103163233"}, {"ref": "shaikhnausheenbano/notebookae2fcfbda5", "kernel_id": "103262266"}, {"ref": "jkyghoi77/gpt-temp-test-0-5-0", "kernel_id": "103055970"}, {"ref": "adityatrivedi2002/final-notebook", "kernel_id": "103349097"}, {"ref": "johnjac2/notebooka11165c0f9", "kernel_id": "103248774"}, {"ref": "chhaya2d/notebook2-4-1-thoughts", "kernel_id": "103658276"}, {"ref": "nathanford/lco-mathletesfoot-toolcall-test2", "kernel_id": "104304732"}, {"ref": "nathanford/best-notebook-v2", "kernel_id": "104099640"}, {"ref": "ryanholbrook/longest-leader-lb", "kernel_id": "104785591"}, {"ref": "liuyanfeng/way-to-30-50-gpt-oss-w-python-tool", "kernel_id": "104063696"}, {"ref": "shubham068/self-consistency-strategy", "kernel_id": "104304384"}, {"ref": "shubham068/tir-strat-modified", "kernel_id": "104938945"}, {"ref": "neharaj1518/ai-mathematical-olympiad", "kernel_id": "104253369"}, {"ref": "baohaoliao/aimo3-lmdeploy-python-tool", "kernel_id": "104540497"}, {"ref": "abkmystery/submit-for-testing", "kernel_id": "104408304"}, {"ref": "mahmoudashraf7400/aimo-oly", "kernel_id": "104310406"}, {"ref": "konstantinboyko/cache-compile-nemotron-3-nano-30b-a3b-fp8", "kernel_id": "104896518"}, {"ref": "onlinetutor1/lco-mathletesfoot-toolcall-test2", "kernel_id": "104302826"}, {"ref": "onlinetutor1/lco-mathletesfoot-adaptive", "kernel_id": "104150734"}, {"ref": "onlinetutor1/lco-mathletesfoot-0-8", "kernel_id": "104134847"}, {"ref": "onlinetutor1/lco-mathletesfoot-toolcall-divtemp2", "kernel_id": "104284474"}, {"ref": "onlinetutor1/lco-mathletesfoot-toolcall-divtemp", "kernel_id": "104283554"}, {"ref": "onlinetutor1/lco-mathletesfoot-toolcall", "kernel_id": "104258969"}, {"ref": "onlinetutor1/best-notebook-v2", "kernel_id": "104041001"}, {"ref": "datlq1202/notebook60f5d1a356", "kernel_id": "104608775"}, {"ref": "kaggleqrdl/self-consistency-strategy-tir-as-it-is-logs", "kernel_id": "104412628"}, {"ref": "kaggleqrdl/aimo3-log-analysis", "kernel_id": "104685002"}, {"ref": "piyushksinghh/aimo-progress-prize-3-submission", "kernel_id": "104168511"}, {"ref": "piyushksinghh/aimo-p3-strategy-1-qwen-conservative", "kernel_id": "104397934"}, {"ref": "piyushksinghh/aimo-p3-strategy-2-deepseek-math-7b", "kernel_id": "104397935"}, {"ref": "theunforgiven7/gpt-oss-120b-w-python-tool", "kernel_id": "104039361"}, {"ref": "aymaneid/notebooke0049cb679", "kernel_id": "104809974"}, {"ref": "bhargavasiddhartha/student-gpu", "kernel_id": "104844716"}, {"ref": "shelterw/nvidia-nemotron-3-nano-30b-a3b-w-python", "kernel_id": "104765837"}, {"ref": "shelterw/finetune-gpt-oss-20b", "kernel_id": "104327311"}, {"ref": "nihilisticneuralnet/41-50-aimo3-gpt-oss-120b-tir-w-tools", "kernel_id": "104816249"}, {"ref": "xiaoleilian/aimo3-env-installation", "kernel_id": "104042847"}, {"ref": "tryacc/progress-task", "kernel_id": "104729958"}, {"ref": "mushfiqurrahman6087/dual-fusion-x-ray-swinev2", "kernel_id": "104913485"}, {"ref": "hemanthvaigandla/phase1-final", "kernel_id": "104987210"}, {"ref": "beastgokul/lb-37-what-s-the-limit-of-shelterw-s-notebook", "kernel_id": "104330040"}, {"ref": "lqdat122/notebook8829d4bc9d", "kernel_id": "104773723"}, {"ref": "vinu1729/aimo-new-test", "kernel_id": "104984172"}, {"ref": "riddhimanpaul708/aimo666", "kernel_id": "104509432"}, {"ref": "riddhimanpaul708/aimo333", "kernel_id": "104344889"}, {"ref": "riddhimanpaul708/aimo444", "kernel_id": "104378966"}, {"ref": "riddhimanpaul708/aimo1111", "kernel_id": "104071809"}, {"ref": "haradibots/building-v2-step-by-step", "kernel_id": "104643809"}, {"ref": "haradibots/retry-with-qwan3", "kernel_id": "104531146"}, {"ref": "haradibots/making-of-v2-step-by-step", "kernel_id": "104778762"}, {"ref": "haradibots/installing-vllm-offline-fix", "kernel_id": "104781501"}, {"ref": "haradibots/gpt-oss-w-python-tool", "kernel_id": "104769993"}, {"ref": "haradibots/aimo-3-notebook-help-road-to-30", "kernel_id": "104359901"}, {"ref": "haradibots/retrying-on-vllm", "kernel_id": "104268905"}, {"ref": "ronakgohil/mixed", "kernel_id": "104996045"}, {"ref": "m0nst1r/finetune-gpt-oss-20b", "kernel_id": "104962372"}, {"ref": "zaynyu/40-50-gpt-oss-120b-tir-dynamictime-kernelpool", "kernel_id": "104251953"}, {"ref": "johnnysilverhand69/dual-fusion-x-ray-swinev2", "kernel_id": "104889807"}, {"ref": "johnnysilverhand69/swinev2-small-xray-segmented-image-lateral-train", "kernel_id": "104823814"}, {"ref": "johnnysilverhand69/swinev2-small-xray-segmented-image-pa-train", "kernel_id": "104685411"}, {"ref": "wangchengke123/amazing-what-s-the-limit-of-shelterw-s-notebook", "kernel_id": "104295227"}, {"ref": "doannvd23ptit/vs-remote", "kernel_id": "104984833"}, {"ref": "devkesh/end-sem", "kernel_id": "104850329"}, {"ref": "auwalsaleleiro/submission-csv", "kernel_id": "104350214"}, {"ref": "mdshahideqbal/notebook7155fc7d5b", "kernel_id": "104980536"}, {"ref": "gssreshta/streaming-inference-reflexion-promptingggg", "kernel_id": "104309185"}, {"ref": "gssreshta/streaming-inference-end", "kernel_id": "104616484"}, {"ref": "kabachuha/pip-install-aimo3-1-upgrade-mpl", "kernel_id": "104466855"}, {"ref": "shaikhnausheenbano/notebookqwenphi", "kernel_id": "104341235"}, {"ref": "shaikhnausheenbano/notebook21df964e69", "kernel_id": "104645282"}, {"ref": "chhaya2d/notebook-3-2-thoughts", "kernel_id": "104007294"}, {"ref": "jasooka/notebook7d72e6d7d6", "kernel_id": "104414047"}, {"ref": "shubham2web/aimo-solver-phasea-basicmodelsetup", "kernel_id": "104102679"}, {"ref": "runningpoppy/aimo-3-submission-demo", "kernel_id": "104898364"}, {"ref": "newuser111284/notebookc59693265a", "kernel_id": "104846633"}, {"ref": "dhanesh123us/notebookf68002e1a5", "kernel_id": "105791331"}, {"ref": "seshurajup/harmonytir-r-classify-problem-easy-medium", "kernel_id": "105103628"}, {"ref": "shoom1/pip-install-utility-aimo3", "kernel_id": "105572278"}, {"ref": "shubham068/judge-based-resolution-added", "kernel_id": "105490355"}, {"ref": "albert72/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "105844544"}, {"ref": "harrabiraouf/aimo-answer-extractor", "kernel_id": "105770216"}, {"ref": "harrisxie/39-50-let-s-tweak-it-to-40", "kernel_id": "105999719"}, {"ref": "saikumarkella/aimo-qwen2-5-math-1-5b", "kernel_id": "105784418"}, {"ref": "vignesha1/flash-attn-install", "kernel_id": "105869179"}, {"ref": "umeshkumar017/aimo3-utility-dependencies", "kernel_id": "105351186"}, {"ref": "hrhuynguyen/aimo-dependencies", "kernel_id": "105113117"}, {"ref": "jarvis2026/aimo3vllm216-helper278", "kernel_id": "105687295"}, {"ref": "datlq1202/notebookb3e13b3e20", "kernel_id": "105658962"}, {"ref": "datlq1202/iclr2026", "kernel_id": "105605362"}, {"ref": "datlq1202/train-video", "kernel_id": "105309665"}, {"ref": "kaggleqrdl/faiss-rag-example", "kernel_id": "105245929"}, {"ref": "anongx/aimo3-utility-notebook-iai", "kernel_id": "105234306"}, {"ref": "mahmoudabdshafy/tir-dynamictime", "kernel_id": "105624381"}, {"ref": "thunderthunder/40-50", "kernel_id": "105837942"}, {"ref": "redboycheatz/aimo3-utility-dependencies", "kernel_id": "105942780"}, {"ref": "redboycheatz/notebookc5ef81eb0b", "kernel_id": "105662747"}, {"ref": "thomasgamet/build-llama-cpp-for-h100", "kernel_id": "105722147"}, {"ref": "thomasgamet/tg4v1-llama-r-altmodel", "kernel_id": "105720019"}, {"ref": "vinodkumargurjar/nvidia-nemotron-3-nano-30b-guide", "kernel_id": "105828469"}, {"ref": "shelterw/seeking-the-characteristics-of-correct-thinking", "kernel_id": "105978684"}, {"ref": "solidsea/the-semantic-cliff-in-llms", "kernel_id": "105261347"}, {"ref": "bachhg/pip-install-aimo3-1-gpt-oss-vllm-0-13-0", "kernel_id": "105020293"}, {"ref": "andreasbis/aimo-3-utils", "kernel_id": "105772095"}, {"ref": "andreasbis/aimo-3-gpt-oss-120b-with-tools", "kernel_id": "105856655"}, {"ref": "tshegofatsomogotlane/notebookc70fab0111", "kernel_id": "105167362"}, {"ref": "mushfiqurrahman6087/dual-fusion-x-ray-swinev2-v2", "kernel_id": "105494202"}, {"ref": "mushfiqurrahman6087/dual-fusion-x-ray-swinev2-final", "kernel_id": "105798406"}, {"ref": "mushfiqurrahman6087/shapely-attention-heatmap", "kernel_id": "105975810"}, {"ref": "lqdat122/gen-video", "kernel_id": "105124261"}, {"ref": "lqdat122/one-step", "kernel_id": "105859697"}, {"ref": "minhlmnguynduy/baseline-aimo3", "kernel_id": "105413401"}, {"ref": "anatoliisavchenko/notebook3cc4496d6f", "kernel_id": "105005241"}, {"ref": "haradibots/classify-problem", "kernel_id": "105695796"}, {"ref": "haradibots/harmonytir-r", "kernel_id": "105476826"}, {"ref": "haradibots/i-have-done-some-update-in-this", "kernel_id": "105907070"}, {"ref": "annecfpovie/submission-parquet", "kernel_id": "105501284"}, {"ref": "vipin12snow/aimo3-utility-notebook-vk", "kernel_id": "105742964"}, {"ref": "zaynyu/finetuned-oss-20b-clean-tir", "kernel_id": "105275522"}, {"ref": "zaynyu/40-50-simple-prompts-stable-40", "kernel_id": "105906195"}, {"ref": "shahriarhameem/capstone-image-bdslw131-fixed", "kernel_id": "105647873"}, {"ref": "khoatrnnht/xray-inference", "kernel_id": "105033203"}, {"ref": "sarahmarin/calculator-py", "kernel_id": "105878301"}, {"ref": "sarahmarin/aimo-3-invariant-ai-solver", "kernel_id": "105895830"}, {"ref": "shreyansh01m/41-50-same-as-parthenos-s-no-modifications", "kernel_id": "105911788"}, {"ref": "ductaiphan/olympic-math-ai", "kernel_id": "105687658"}, {"ref": "doannv1809/vs-remote", "kernel_id": "105278578"}, {"ref": "joetheguide/qwen7bthinking", "kernel_id": "105759050"}, {"ref": "shamimhasan8/ai-mathematical-olympiad-progress-prize-3", "kernel_id": "105834065"}, {"ref": "hmnshudhmn24/ai-mathematical-olympiad-progress-prize-3", "kernel_id": "105118985"}, {"ref": "minminandy/dinov3-try", "kernel_id": "105673062"}, {"ref": "onlhc2k/vs-remote", "kernel_id": "105095438"}, {"ref": "ibraman5/aimo3-solver", "kernel_id": "105084721"}, {"ref": "hweowe/notebookf3c62d1bb3", "kernel_id": "105589140"}, {"ref": "hweowe/39-50-gpt-oss-120b-tir-dynamictime-out-pooling", "kernel_id": "105595584"}, {"ref": "cartoonfunny/kd-logis-cl", "kernel_id": "105236103"}, {"ref": "panavinsingh/the-nuclear-option-3-agent-ensemble", "kernel_id": "105911393"}, {"ref": "shivansh122/36-50-gpt-oss120-tir-w-python-tool-time-slicing", "kernel_id": "105326186"}, {"ref": "marcshade/aimo-3-tir-math-solver", "kernel_id": "105565838"}, {"ref": "aayushrivastava/self-cross-examination-ai", "kernel_id": "105051367"}, {"ref": "accelra/aimo-3-submission-demo", "kernel_id": "105180574"}, {"ref": "abhikakarla/39-50-gpt-oss-120b-tir-dynamictime-out-pooling", "kernel_id": "105470967"}, {"ref": "abhikakarla/fork-of-gpt-oss-120b-tir-step-limit-pooling-7ffe5f", "kernel_id": "105246366"}, {"ref": "elking777/aimo3-submissio-7-notebook-02717", "kernel_id": "105174402"}, {"ref": "tusharjatav/tas-2", "kernel_id": "105188021"}, {"ref": "jyotik12/39-50-gpt-oss-120b-tir-dynamictime-out-p-bf6b62", "kernel_id": "105416545"}, {"ref": "sarthak899/notebook5d5e16a5f9", "kernel_id": "105768724"}, {"ref": "christie/variability-control-aimo-leaderboard-winner", "kernel_id": "106125182"}, {"ref": "seshurajup/aimo-3-gpt-oss-20b-with-tools", "kernel_id": "106787483"}, {"ref": "shams1/olympiad", "kernel_id": "106458481"}, {"ref": "krishm/aimo-gsm8k-lora", "kernel_id": "106942824"}, {"ref": "leegang0911/pip-install-aimo3-1", "kernel_id": "106271432"}, {"ref": "watanaberyunosuke/ai-mathematical-olympia-tf", "kernel_id": "106695559"}, {"ref": "suhaild/aimo3-gpt-oss-final", "kernel_id": "106449887"}, {"ref": "suhaild/aimo3-gpt-oss-v2", "kernel_id": "106449496"}, {"ref": "suhaild/aimo3-40-submission", "kernel_id": "106450709"}, {"ref": "suhaild/aimo3-final-v2", "kernel_id": "106451608"}, {"ref": "suhaild/aimo3-gpt-oss-fresh", "kernel_id": "106456795"}, {"ref": "suhaild/aimo3-gpt-oss-final-submission", "kernel_id": "106462899"}, {"ref": "suhaild/aimo3-gpt-oss-final-v2", "kernel_id": "106463331"}, {"ref": "suhaild/aimo3-submission", "kernel_id": "106493917"}, {"ref": "suhaild/aimo3-cond-mining-tir", "kernel_id": "106357087"}, {"ref": "suhaild/aimo3-gpt-oss-120b-tir-v9", "kernel_id": "106337129"}, {"ref": "suhaild/aimo3-gpt-oss-120b-tir-v10", "kernel_id": "106337313"}, {"ref": "suhaild/aimo3-gpt-oss-120b-tir-v7", "kernel_id": "106336874"}, {"ref": "suhaild/aimo3-gpt-oss-120b-tir-v8", "kernel_id": "106337045"}, {"ref": "suhaild/aimo3-gpt-oss-120b-tir-v5", "kernel_id": "106335908"}, {"ref": "suhaild/aimo3-gpt-oss-120b-tir-v6", "kernel_id": "106336372"}, {"ref": "suhaild/aimo3-gpt-oss-120b-tir-v3", "kernel_id": "106335185"}, {"ref": "suhaild/aimo3-39-50-fork-v11", "kernel_id": "106337670"}, {"ref": "suhaild/aimo3-41-50-fork-v12", "kernel_id": "106337983"}, {"ref": "suhaild/aimo3-41-50-fork-v13", "kernel_id": "106338319"}, {"ref": "suhaild/aimo3-39-50-fork-v14", "kernel_id": "106340891"}, {"ref": "suhaild/simple-aimo3-test", "kernel_id": "106343086"}, {"ref": "shubham068/experiments-with-aimo-3-gpt-oss-120b-with-tools", "kernel_id": "106010211"}, {"ref": "huynhthanhvn/notebook54fc6fa154", "kernel_id": "106278649"}, {"ref": "takuji/38th-place-prompt-to-shorten-thinking", "kernel_id": "106934983"}, {"ref": "myte21/2-1-aimo3-utilities", "kernel_id": "106597779"}, {"ref": "myte21/1-aimo3-submission-demo", "kernel_id": "106384394"}, {"ref": "abkmystery/no-vllm-deepseek-r1-distill", "kernel_id": "106091119"}, {"ref": "konstantinboyko/aimo-3-gpt-oss-120b-with-tools-3ac0a2", "kernel_id": "106025042"}, {"ref": "hanifnoerrofiq/aimo-3-try-ur-luck", "kernel_id": "106836935"}, {"ref": "bjba99/multiagent-v5-12-optimized-negative-reason", "kernel_id": "106459452"}, {"ref": "masanakashima/aimo3-inference-server-v4", "kernel_id": "106493372"}, {"ref": "masanakashima/aimo3-inference-server-v5", "kernel_id": "106493737"}, {"ref": "masanakashima/aimo3-inference-server-v3", "kernel_id": "106492359"}, {"ref": "masanakashima/visual-math-solver-5-diagrams-8-strategies", "kernel_id": "106494044"}, {"ref": "masanakashima/aimo3-inference-server-v7", "kernel_id": "106494212"}, {"ref": "masanakashima/nlp-disaster-tweets-expert-visuals-0-82", "kernel_id": "106494405"}, {"ref": "masanakashima/aimo3-initial-pipeline-inference-server", "kernel_id": "106388129"}, {"ref": "masanakashima/aimo3-initial-pipeline-inference-server-v2", "kernel_id": "106388500"}, {"ref": "jarvis2026/kernelsetupaimo", "kernel_id": "106868975"}, {"ref": "datlq1202/sana-dat", "kernel_id": "106296607"}, {"ref": "datlq1202/multitask-bosh", "kernel_id": "106804393"}, {"ref": "kaggleqrdl/41-50-same-as-parthenos-s-no-modifications", "kernel_id": "106000498"}, {"ref": "youyue123/44-50-skill-optional-luck-zaroori", "kernel_id": "106931322"}, {"ref": "hrithiksharma317/fresh", "kernel_id": "106475096"}, {"ref": "aveekg/aveek-utility-notebook-dependency-install-1-2", "kernel_id": "106173739"}, {"ref": "aveekg/aveek-working-book-submission-demo-notebook-2-2", "kernel_id": "106173627"}, {"ref": "tillotson/submission-parquet", "kernel_id": "106950240"}, {"ref": "anthonynnagbo/final-sub", "kernel_id": "106197834"}, {"ref": "leonado10000/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "106396316"}, {"ref": "djsinning/sensor-ai", "kernel_id": "106672384"}, {"ref": "nihilisticneuralnet/39-50-aimo3-condition-mining-tir-w-python", "kernel_id": "106148068"}, {"ref": "nihilisticneuralnet/44-50-aimo3-gpt-oss-120b", "kernel_id": "106812578"}, {"ref": "tasmaytibrewal/40-notebook-1-40-50-let-s-tweak-it-to-40", "kernel_id": "106202907"}, {"ref": "alseth/aimo-3-gpt-oss-120b-with-tools", "kernel_id": "106390000"}, {"ref": "quangnguyen711/testinheritlabeling", "kernel_id": "106013092"}, {"ref": "bachhg/aimo-3-utils", "kernel_id": "106408995"}, {"ref": "bachhg/stable-pip-install-sglang", "kernel_id": "106387842"}, {"ref": "sanchit1609/aimo-3-gpt-oss-120b-score-43-copy", "kernel_id": "106588474"}, {"ref": "jeffreypikeai/hg-train", "kernel_id": "106436667"}, {"ref": "jeffreypikeai/hg-lib", "kernel_id": "106392152"}, {"ref": "jeffreypikeai/hg-exp-1-tpu", "kernel_id": "106827099"}, {"ref": "daniil1423/39-43-stable", "kernel_id": "106299766"}, {"ref": "nguyenducminhman/baseline-mf-phase-1-2", "kernel_id": "106849509"}, {"ref": "tanaboonjewriyavetch/aimo3-submission-deepseek-r1-with-tir", "kernel_id": "106445767"}, {"ref": "mufasasimon/aimo-3-gpt-oss-120b-mental-eyes", "kernel_id": "106142030"}, {"ref": "lqdat122/sana-dat", "kernel_id": "106896648"}, {"ref": "nurikw3/aimo3-stable-40-44-lb", "kernel_id": "106581705"}, {"ref": "nurikw3/gpt-oss-finetune-unsloth-grpo", "kernel_id": "106937367"}, {"ref": "datlq122/sana-dat", "kernel_id": "106440130"}, {"ref": "azmaininqiadadeeb/aimo-3-lower-score-with-finetuned-model", "kernel_id": "106842796"}, {"ref": "vamcrizer1/h100-remote", "kernel_id": "106182686"}, {"ref": "haradibots/let-s-tweak-it-to-40-0b59a5", "kernel_id": "106946299"}, {"ref": "haradibots/40-8735b2", "kernel_id": "106853377"}, {"ref": "haradibots/v3-solving-pipeline-problem", "kernel_id": "106079921"}, {"ref": "haradibots/fork-of-40-50-let-s-tweak-it-to-40", "kernel_id": "106321451"}, {"ref": "haradibots/highly-variable-36-41", "kernel_id": "106202771"}, {"ref": "haradibots/aimo-3-gpt-oss-120b-with-tools", "kernel_id": "106690041"}, {"ref": "haradibots/e43d4f-2-0", "kernel_id": "106628330"}, {"ref": "ngkien/notebook436256f80e", "kernel_id": "106222728"}, {"ref": "suriya4169/aimo-3", "kernel_id": "106202628"}, {"ref": "zaynyu/lb-38-v10-andreas-s-gpt-oss-120b-with-tools", "kernel_id": "106444538"}, {"ref": "zaynyu/local-gpt-oss-fine-tuning-using-unsloth", "kernel_id": "106718030"}, {"ref": "zaynyu/saving-message-trace-to-txt-files", "kernel_id": "106198835"}, {"ref": "wangchengke123/aimo-3-gpt-oss-20b-with-tools", "kernel_id": "106947769"}, {"ref": "hinhongch/run-benchmark-v1", "kernel_id": "106223726"}, {"ref": "chekcheehim/mobilenetv2-dataset-2", "kernel_id": "106683250"}, {"ref": "khoatrnnht/xray-extract-match", "kernel_id": "106758896"}, {"ref": "khoatrnnht/entrep-extract-match", "kernel_id": "106640156"}, {"ref": "skimiblack/tempretures1", "kernel_id": "106665573"}, {"ref": "atozjkj/notebook24813a02d4", "kernel_id": "106936335"}, {"ref": "nishitapjahagirdar/aimo-sub-1", "kernel_id": "106056084"}, {"ref": "nishitapjahagirdar/aimo-sub-2", "kernel_id": "106110662"}, {"ref": "anujjakhar2104/aimo-dependencies", "kernel_id": "106171384"}, {"ref": "mlbang/infer-tune-v3", "kernel_id": "106063653"}, {"ref": "kashyapsinhgohil/arya-praman-pslq", "kernel_id": "106940443"}, {"ref": "okeoluwanifemi/oke-working-book", "kernel_id": "106393594"}, {"ref": "fuzzycoder3794/install-vllm", "kernel_id": "106583663"}, {"ref": "ccjjllt/aimo-leaderboard-winner", "kernel_id": "106556748"}, {"ref": "huynhthu123/dense-10-1", "kernel_id": "106680342"}, {"ref": "cartoonfunny/baseline-v1-mean", "kernel_id": "106853461"}, {"ref": "panavinsingh/diverse-prompts-rotation", "kernel_id": "106137589"}, {"ref": "samyakrajbayar/rank-1-hopefully", "kernel_id": "106580957"}, {"ref": "samyakrajbayar/40-50-gpt-os", "kernel_id": "106718530"}, {"ref": "samyakrajbayar/aimo-leaderboard-winner-come-on", "kernel_id": "106718463"}, {"ref": "samyakrajbayar/try-on", "kernel_id": "106486428"}, {"ref": "itsok4363/resnet50-dataset2", "kernel_id": "106640789"}, {"ref": "itsok4363/mobilenetv2-dataset1", "kernel_id": "106683161"}, {"ref": "shristy007/efficientnet-b3", "kernel_id": "106792018"}, {"ref": "polipireddirk/aimo-prize-3-solution", "kernel_id": "106375709"}, {"ref": "abdulwahab2321/aimo-3-gpt-oss-120b-with-tools", "kernel_id": "106083643"}, {"ref": "abdulwahab2321/39-50-let-s-tweak-it-to-40", "kernel_id": "106014727"}, {"ref": "huynhhiep/aaaaa-hiep", "kernel_id": "106646740"}, {"ref": "nnytemirlan09a/gpt-oss-120b-with-tools-38-lb", "kernel_id": "106431588"}, {"ref": "bhargavaabhi/aimo-3-winner", "kernel_id": "106738025"}, {"ref": "sword4949/ai-mathematical-olympiad-progress-prize-3", "kernel_id": "107615404"}, {"ref": "hpkaur34/utility-notebook", "kernel_id": "107745260"}, {"ref": "abbbhishekkk/aimo-3-submission-demo", "kernel_id": "107266426"}, {"ref": "yuriao/aimo-3-flan-t5", "kernel_id": "107095107"}, {"ref": "yuriao/aimo3-qwen2-7b-instruct-v1", "kernel_id": "107100047"}, {"ref": "smartmanoj/aimo3-batch-invariance", "kernel_id": "107087678"}, {"ref": "smartmanoj/aimo-3-utils-0-14-0", "kernel_id": "107943876"}, {"ref": "ravikshdikola/my-aimo-utils", "kernel_id": "107738290"}, {"ref": "dhrubangtalukdar/30-50-aimo-3-gpt-oss-120b-with-tools-demo", "kernel_id": "107961361"}, {"ref": "selvakumar2502/notebookff71508d35", "kernel_id": "107767114"}, {"ref": "konstantinboyko/aimo-3-whl-d165-vllm-0-14-0-cu-128-v02", "kernel_id": "107506913"}, {"ref": "konstantinboyko/aimo-3-whl-transformer-4-57-6-v01-docker-165", "kernel_id": "107431510"}, {"ref": "konstantinboyko/aimo-3-whl-d165-vllm-0-14-0-cu-128-v01", "kernel_id": "107427253"}, {"ref": "datlq1202/notebookc1396792fb", "kernel_id": "107333760"}, {"ref": "datlq1202/notebook11c91cd53f", "kernel_id": "107418531"}, {"ref": "artalmaz31/notebook9a9c048687", "kernel_id": "107937757"}, {"ref": "artalmaz31/notebook79736d51ef", "kernel_id": "107839437"}, {"ref": "jero98772/mleafit", "kernel_id": "107621666"}, {"ref": "sethmoudry/aimo3-gpt-oss-120b-tokenskip", "kernel_id": "107606045"}, {"ref": "wolfoo/acemath-7or72b-instruct-just-inference", "kernel_id": "107060698"}, {"ref": "wolfoo/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "107900842"}, {"ref": "nileshiq/olympiadmath-ai", "kernel_id": "107937211"}, {"ref": "marcelojantonio/aimo-progress-prize-3-pipeline-of-racional-math", "kernel_id": "107615034"}, {"ref": "kohkaichunsamuel/deepseek-tir", "kernel_id": "107397071"}, {"ref": "gelart/gpt-120b-reswithmultitem", "kernel_id": "107847212"}, {"ref": "shelterw/aimo-3-vllm-nightly", "kernel_id": "107504760"}, {"ref": "shelterw/aimo-3-utils", "kernel_id": "107420346"}, {"ref": "shelterw/nemotron-3-nano-30b-a3b-fp8-w-python", "kernel_id": "107413839"}, {"ref": "cheweng/beetle-train-on-gpu-thien-version", "kernel_id": "107096516"}, {"ref": "daltongabrielomondi/local-gpt-oss-fine-tuning-using-unsloth", "kernel_id": "107132321"}, {"ref": "taraashmittal/fine-tuning-and-testing", "kernel_id": "107542613"}, {"ref": "rohanrk1813/ai-olympiad", "kernel_id": "107903868"}, {"ref": "antonoof/aimo-teacher-student", "kernel_id": "107747128"}, {"ref": "antonoof/aimo-simple-code", "kernel_id": "107530989"}, {"ref": "antonoof/aimo-optimize-big-prompt", "kernel_id": "107936980"}, {"ref": "nurikw3/aimo3-adaptive-reasoning-solver-10-10", "kernel_id": "107862290"}, {"ref": "nurikw3/hormony-tir-reranker-gpt-oss-120b", "kernel_id": "107576987"}, {"ref": "nurikw3/aimo-3-harmonytir-with-rag", "kernel_id": "107611788"}, {"ref": "osman0/fundamentals-nvidia-smi", "kernel_id": "107436567"}, {"ref": "datlq122/icpr2026", "kernel_id": "107407604"}, {"ref": "rageshthangaraj/base-model-test", "kernel_id": "107128364"}, {"ref": "logiclab/hard-problem", "kernel_id": "107288692"}, {"ref": "azmaininqiadadeeb/aimo-3-gpt-oss-120b-changed-timeout-and-prompts", "kernel_id": "107535474"}, {"ref": "sponishflea/qwen2-5-deepseek-math-ensemble", "kernel_id": "107810322"}, {"ref": "haradibots/aimo-3-try-ur-luck", "kernel_id": "107738395"}, {"ref": "haradibots/whyy-she-dump-me", "kernel_id": "107425461"}, {"ref": "haradibots/fork-of-luck-necessary", "kernel_id": "107458787"}, {"ref": "x7775757/aimo-3-utils-qwen3", "kernel_id": "107589477"}, {"ref": "adilshamim8/ai-mathematical-olympiad-progress-prize-3", "kernel_id": "107198401"}, {"ref": "adityatrivedii/game-5585-clip-extraction", "kernel_id": "107340941"}, {"ref": "zaynyu/finetuned-gpt-oss-120b-using-nemotron-math-v2", "kernel_id": "107267357"}, {"ref": "zaynyu/brute-force-pruning-confused-llm", "kernel_id": "107964800"}, {"ref": "hiudev/pretrain-qwen3", "kernel_id": "107206330"}, {"ref": "freerunner40198/aimo3-rwkv-submission-notebook", "kernel_id": "107637102"}, {"ref": "sarahmarin/aimo-submission-v2", "kernel_id": "107385185"}, {"ref": "jjsdfd22/pip-aimo3-lmdeploy", "kernel_id": "107078389"}, {"ref": "jjsdfd22/flash-attention-v3-hopper-torch2-8-9-cu126-sm90", "kernel_id": "107195650"}, {"ref": "charankulal0987/ai-mathematical-olympiad-progress-prize-3", "kernel_id": "107213099"}, {"ref": "mdnaimislam165436/ai-mathematical-olympiad-progress-prize-3", "kernel_id": "107780507"}, {"ref": "jimbruak47/notebook4c9cebb011", "kernel_id": "107375477"}, {"ref": "hackerfight/aimo-3-submission-demo", "kernel_id": "107949150"}, {"ref": "sweetyseelam/aimo3-nevergiveup", "kernel_id": "107077401"}, {"ref": "lcnguynvnxun/submission-parquet", "kernel_id": "107520929"}, {"ref": "selimakl/aimo3-gpt-oss-120b-genselect-enhanced", "kernel_id": "107548513"}, {"ref": "selimakl/aimo3-gpt-oss-120b-enhanced", "kernel_id": "107665322"}, {"ref": "prabhpreetsingh5/prabh-aimo3-parameters-using-lora", "kernel_id": "107112858"}, {"ref": "fuzzycoder3794/aimo3-openmath-dataset-classification-creation", "kernel_id": "107753329"}, {"ref": "trncngg/dpl302m-image-colorization", "kernel_id": "107754919"}, {"ref": "rahulchauhan016/math-corpus-prize-submission-aimo3-dataset", "kernel_id": "107331224"}, {"ref": "hngliththu/lightgbm", "kernel_id": "107967414"}, {"ref": "hngliththu/bilstm", "kernel_id": "107966503"}, {"ref": "hngliththu/gru-md", "kernel_id": "107961052"}, {"ref": "aaniuniverse/aimo-3-progress-notebook", "kernel_id": "107060261"}, {"ref": "wukeneth/submission-word-dict", "kernel_id": "107844608"}, {"ref": "jackr013/notebookb0a5c49ffc", "kernel_id": "107294176"}, {"ref": "peirancs/gpt-oss-120b", "kernel_id": "107096606"}, {"ref": "khangmaitrnnguyn/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "107767259"}, {"ref": "nghithigia15/sprint2-kaggle-pipeline", "kernel_id": "107594507"}, {"ref": "kummarinagabhusana/notebook4e297feb00", "kernel_id": "107929983"}, {"ref": "jasonkarpeles/aimo3-evolved-v3-voting-with-gpt-oss-120b", "kernel_id": "108337221"}, {"ref": "jasonkarpeles/aimo3-simple-voting", "kernel_id": "108338015"}, {"ref": "jasonkarpeles/aimo3-120b-evolved-v3-voting", "kernel_id": "108376716"}, {"ref": "jasonkarpeles/aimo3-working-submission-domain-voting", "kernel_id": "108377913"}, {"ref": "valteresj/submission-qwen2-5-7b-instruct", "kernel_id": "108555790"}, {"ref": "valteresj/aimo3-dual-expert-meta-agent-system", "kernel_id": "108909508"}, {"ref": "andy2709/pip-install-sglang", "kernel_id": "108879087"}, {"ref": "sword4949/aimo-3-deepseek", "kernel_id": "108221027"}, {"ref": "harriwashere/tiktoken-openai-harmony", "kernel_id": "108325195"}, {"ref": "yuriao/aimo3-qwen2-5-math-7b", "kernel_id": "108571709"}, {"ref": "jeannkouagou/aimo3-gpt-oss-20b-finetuned", "kernel_id": "108906858"}, {"ref": "saraswatitiwari/olympiad", "kernel_id": "108321662"}, {"ref": "kwangsookoh/aimo3-solver-v4", "kernel_id": "108834884"}, {"ref": "kwangsookoh/aimo3-solver-v5", "kernel_id": "108834989"}, {"ref": "kwangsookoh/aimo3-solver-v6", "kernel_id": "108835214"}, {"ref": "kwangsookoh/claude-opus-4-6-aimo3-solver", "kernel_id": "108833884"}, {"ref": "kwangsookoh/claude-opus-4-6-aimo3-solver-v2", "kernel_id": "108834096"}, {"ref": "kwangsookoh/claude-opus-4-6-aimo3-solver-v3", "kernel_id": "108834130"}, {"ref": "aklimasauskas/demo-dependencies", "kernel_id": "108416246"}, {"ref": "abdhrubo/mint-cot-training", "kernel_id": "108156581"}, {"ref": "hanifnoerrofiq/aimo-3-no-change", "kernel_id": "108844524"}, {"ref": "ggbond00/39-43-stable", "kernel_id": "108553538"}, {"ref": "syy117/aimo-3-gpt-oss-120b-with-tools", "kernel_id": "108604260"}, {"ref": "datlq1202/ocr-head", "kernel_id": "108217225"}, {"ref": "pranshubahadur/aimo3-4bit-forge-deepseekv3-2-345b-86b", "kernel_id": "108070637"}, {"ref": "arthurdj/aimo-3-not-only-luck-h100", "kernel_id": "108501066"}, {"ref": "jordane95/aimo3-val-bench-eval-script", "kernel_id": "108941834"}, {"ref": "artalmaz31/notebooke1481505c6", "kernel_id": "108004814"}, {"ref": "booleanwolf/deeplabv3", "kernel_id": "108263028"}, {"ref": "booleanwolf/segformer", "kernel_id": "108263565"}, {"ref": "kishanvavdara/gptoss-120b-amazon-p-eagle3", "kernel_id": "108705151"}, {"ref": "kishanvavdara/download-eagle3", "kernel_id": "108706300"}, {"ref": "avishekrauniyar/llm-finetuning-new", "kernel_id": "108010091"}, {"ref": "yiyangzheng/fork-of-v1209-rc-40-longest-leaderboard", "kernel_id": "108459541"}, {"ref": "yiyangzheng/fork-of-v1207-rc-39-longest-leaderboard", "kernel_id": "108459580"}, {"ref": "shelterw/qwen3-4b-w-python", "kernel_id": "108109302"}, {"ref": "shelterw/glm-4-7-flash-fp8-w-python", "kernel_id": "108030941"}, {"ref": "nihilisticneuralnet/43-50-aimo-3-gpt-oss-120b-weighted-entropy", "kernel_id": "108104502"}, {"ref": "tulayppppp/t29-1-2026", "kernel_id": "108270509"}, {"ref": "dwijpatel146/cad-detection", "kernel_id": "108240858"}, {"ref": "serariagomes/aimo-3-submission-evolved", "kernel_id": "108279507"}, {"ref": "serariagomes/aimo-complete-architecture", "kernel_id": "108251565"}, {"ref": "thangkth/data-mining", "kernel_id": "108946627"}, {"ref": "nguyenducminhman/baseline-v0-mask", "kernel_id": "108577793"}, {"ref": "nguyenducminhman/baseline-v7-med", "kernel_id": "108729926"}, {"ref": "ashok205/tree-search-async", "kernel_id": "108385451"}, {"ref": "ashok205/tree-search-base", "kernel_id": "108472479"}, {"ref": "ashok205/aimo-3-utils", "kernel_id": "108532503"}, {"ref": "biansun/entropy-test", "kernel_id": "108347730"}, {"ref": "lqdat122/ocr-head", "kernel_id": "108228361"}, {"ref": "ashsihkumar/aimo-logic-solver", "kernel_id": "108970223"}, {"ref": "christoslazaridis/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "108473086"}, {"ref": "beturaja/aimo-model", "kernel_id": "108327298"}, {"ref": "nguynminhmn/htc-x101-32x4", "kernel_id": "108492836"}, {"ref": "vedicmukherjee/aimo-solution-virani-mukherjee", "kernel_id": "108078400"}, {"ref": "x7775757/qwen3-5-test", "kernel_id": "108649171"}, {"ref": "duyphmnhanh/baseline-v1-mean", "kernel_id": "108776371"}, {"ref": "amanatar/ans-verifys", "kernel_id": "108541783"}, {"ref": "user7u4/notebook13b6206c7c", "kernel_id": "108802181"}, {"ref": "ryotsuu/ai-oly", "kernel_id": "108457825"}, {"ref": "sangrampatil5150/grpo-with-axolotl-cookbook", "kernel_id": "108592956"}, {"ref": "nguyennguyen599/aimo3-qwen3-4b-astral-finetune", "kernel_id": "108313036"}, {"ref": "mcuongg/math-reasoning", "kernel_id": "108251858"}, {"ref": "sarahmarin/aimo-submission-v4", "kernel_id": "108924800"}, {"ref": "efinchwang/aimo3-efin-chwang", "kernel_id": "108710021"}, {"ref": "yangmw2001/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "108051198"}, {"ref": "overvalueawareness/44-50-skills-optional-luck-necessary", "kernel_id": "108048652"}, {"ref": "ahmedwez/aimo3", "kernel_id": "108518991"}, {"ref": "ngabofreddy/aimo-notebook-structure", "kernel_id": "108966332"}, {"ref": "zhuyifanss/eece7398-hw1-notebook", "kernel_id": "108933470"}, {"ref": "evanharbaugh/aimo-3-gpt-oss-120b-experimental-ensemble", "kernel_id": "108358730"}, {"ref": "evanharbaugh/aimo-3-gpt-oss-120b-experimental", "kernel_id": "108181424"}, {"ref": "adarsh2626/cartoon-image-2-image-model-inference", "kernel_id": "108242758"}, {"ref": "ngarai/aimo-solver", "kernel_id": "108071192"}, {"ref": "megarayquaza/test-h100", "kernel_id": "108573710"}, {"ref": "yemaoye/aimo-3-yemao", "kernel_id": "108693617"}, {"ref": "janiogomesribeiro/vcore-cosmos", "kernel_id": "108410983"}, {"ref": "shahrinhossain173/mint-cot", "kernel_id": "108174461"}, {"ref": "meenalsinha/aimo3-enhanced", "kernel_id": "108682794"}, {"ref": "hngliththu/lo-bilstm-static", "kernel_id": "108704154"}, {"ref": "hngliththu/lo-gru-static", "kernel_id": "108830804"}, {"ref": "hngliththu/lo-lightgbm-static", "kernel_id": "108832454"}, {"ref": "locminh504/baseline-v7-med", "kernel_id": "108775452"}, {"ref": "sontungptm/baseline-v11-et", "kernel_id": "108778633"}, {"ref": "neilvirani/aimo-solution-virani-mukherjee-1", "kernel_id": "108426287"}, {"ref": "krishchauhan2007/blt-testing", "kernel_id": "108717416"}, {"ref": "krishchauhan2007/bowel-movement", "kernel_id": "108770820"}, {"ref": "hweowe/44-50-got-lucky-but-not-for-long-24323e", "kernel_id": "108742405"}, {"ref": "anhtran10/test-model-rnn-hybrid", "kernel_id": "108710634"}, {"ref": "anhtran10/model-lstm-hybrid", "kernel_id": "108833913"}, {"ref": "anhtran10/lstm-model", "kernel_id": "108439242"}, {"ref": "anhtran10/fork-of-rnn-model", "kernel_id": "108429281"}, {"ref": "anhtran10/lo-rf-model", "kernel_id": "108549135"}, {"ref": "thuhng9/bilstm", "kernel_id": "108450226"}, {"ref": "thuhng9/lo-gru-static", "kernel_id": "108977821"}, {"ref": "cartoonfunny/et-smote", "kernel_id": "108730766"}, {"ref": "simplicartoon/baseline-v10-et", "kernel_id": "108700664"}, {"ref": "simplicartoon/extral-tree", "kernel_id": "108657129"}, {"ref": "stephendng/baseline-v2-mean", "kernel_id": "108676184"}, {"ref": "sparshhtyagi/h100-9", "kernel_id": "108706477"}, {"ref": "abdulkabir119/aimo-3-submission-demo", "kernel_id": "108549876"}, {"ref": "afhamadian/basic-diarization", "kernel_id": "108853238"}, {"ref": "ninhhanh/bilstm", "kernel_id": "108547267"}, {"ref": "ninhhanh/lightgbm-1", "kernel_id": "108543080"}, {"ref": "datasciencegrad/aimo-3-42-50-stable-lb-possible-43-luck", "kernel_id": "108320208"}, {"ref": "jessiegrubaugh/aimo-3-submission-demo", "kernel_id": "108572171"}, {"ref": "ziyaowang04/baseline", "kernel_id": "108452693"}, {"ref": "oanhnguyenvkthq/process", "kernel_id": "108912584"}, {"ref": "ayush9jha/aimo3-quazar-v", "kernel_id": "108958501"}, {"ref": "hanjintsai/vit-base-dino-cdw-focal-loss", "kernel_id": "108339750"}, {"ref": "sonphamorg/traces-h100-gptoss-curated", "kernel_id": "108920043"}, {"ref": "jiaxibi0220/aimo-3-submission-demo-vllm-stop", "kernel_id": "108575789"}, {"ref": "kurianbenoy/43-50-aimo-3-gpt-oss-120b-weighted-entropy", "kernel_id": "109028533"}, {"ref": "hpkaur34/aimo-utility-copy", "kernel_id": "109549683"}, {"ref": "hpkaur34/install-utility-nemo-run", "kernel_id": "109666216"}, {"ref": "dmitryrodin/gpt-oss-20b", "kernel_id": "109636087"}, {"ref": "konitac/benchmark-aimo3-reproduction-of-top-public-nb", "kernel_id": "109697926"}, {"ref": "janeodum/epicast-multilang-v2-notebook-final", "kernel_id": "109502648"}, {"ref": "janeodum/hear-cough-classification", "kernel_id": "109566622"}, {"ref": "danieltang4/aimo3-utility-notebook-personal", "kernel_id": "109547741"}, {"ref": "konstantinboyko/45-01-01-kinda-stable-aimo3-confidence-voting", "kernel_id": "109643916"}, {"ref": "pedromarcoslocatelli/aimo-3-evolution-vestibulando", "kernel_id": "109275452"}, {"ref": "xiaogui998/aimo3-env", "kernel_id": "109216980"}, {"ref": "aveekg/aveek-new-working-book", "kernel_id": "109639144"}, {"ref": "threerabbits/crystal-math-gpt-oss-20b-grpo", "kernel_id": "109026221"}, {"ref": "threerabbits/crystal-math-eda", "kernel_id": "109030424"}, {"ref": "rohit4118/library", "kernel_id": "109764329"}, {"ref": "shelterw/15-15-aime-2026-i-120b-in-20mins", "kernel_id": "109095441"}, {"ref": "b20dccn616nguynhutun/coprompt-zs-fg-sbir", "kernel_id": "109807810"}, {"ref": "ipash185/notebook112f6cc7a7", "kernel_id": "109475584"}, {"ref": "nihilisticneuralnet/41-50-aimo3-confidence-voting", "kernel_id": "109392059"}, {"ref": "taraashmittal/aimo3-dataset-creation-and-augmentation", "kernel_id": "109023560"}, {"ref": "junaid512/aimo3-qwen2-5-math-72b", "kernel_id": "109687965"}, {"ref": "jakeclark38a/smart-contract-vulnerability-detection-training", "kernel_id": "109430164"}, {"ref": "hemanthvaigandla/phase-2", "kernel_id": "109204291"}, {"ref": "ankitasaxena1120/ankita-srivastava-py", "kernel_id": "109144846"}, {"ref": "nurikw3/aimo3-rlm", "kernel_id": "109830919"}, {"ref": "mdisrar/notebookba3de3a7a3", "kernel_id": "109987670"}, {"ref": "nguynminhmn/mask-rcnn-pvt-l-hospital", "kernel_id": "109006702"}, {"ref": "hichambedrani/boofa-skiler-aimo-prize-submission", "kernel_id": "109498346"}, {"ref": "adityatrivedii/ball-net-final-training", "kernel_id": "109663918"}, {"ref": "adityatrivedii/player-action-only", "kernel_id": "109288032"}, {"ref": "laureanoarcanio/hard-problems-run", "kernel_id": "109468046"}, {"ref": "nafisnahian/tenet-training-titufastconformerft", "kernel_id": "109423973"}, {"ref": "namphoenix/scratch-add-verifire", "kernel_id": "109295444"}, {"ref": "nguyennguyen599/benchmark-astralbench-v1-1-gpt-oss-120b-12-50", "kernel_id": "109120597"}, {"ref": "nagendrakushwah/hackathon", "kernel_id": "109236344"}, {"ref": "mah20050/aimo-insight-pro", "kernel_id": "109806719"}, {"ref": "sarahmarin/aimo-submission-v4-fixed", "kernel_id": "109012043"}, {"ref": "lcnguynvnxun/scratch", "kernel_id": "109092667"}, {"ref": "vijayashantim/aimo3-model-audit", "kernel_id": "109031290"}, {"ref": "prabhpreetsingh5/aimo-3-utils", "kernel_id": "109121960"}, {"ref": "tahir139/modified-dprnn-for-generalized-training-set", "kernel_id": "109509573"}, {"ref": "hngliththu/v0-mask-dl-static", "kernel_id": "109054170"}, {"ref": "hngliththu/v0-dataquality", "kernel_id": "109175190"}, {"ref": "hngliththu/v0-mask-dl-lstm-bilstm", "kernel_id": "109126171"}, {"ref": "privatepiecerec/aimo-3-gpt-oss-120b-dominator-v10", "kernel_id": "109837454"}, {"ref": "hweowe/44-50-aimo3-skills-optional-luck-requir-c5b978", "kernel_id": "109751710"}, {"ref": "anhtran10/rf-dataquality", "kernel_id": "109066983"}, {"ref": "anhtran10/gru-dataquality", "kernel_id": "109112585"}, {"ref": "anhtran10/test-v0-mask-dl-lstm-bilstm-b974d7", "kernel_id": "109244516"}, {"ref": "thuhng9/v0-mask-dl-lstm-bilstm-b974d7", "kernel_id": "109240315"}, {"ref": "thuhng9/v0-mask-dl-static", "kernel_id": "109121771"}, {"ref": "thuhng9/lo-bilstm-static-v12", "kernel_id": "109039105"}, {"ref": "hosttesttest/financial-project", "kernel_id": "109214175"}, {"ref": "damndeepesh/aimo3-utils", "kernel_id": "109187686"}, {"ref": "kripaskhatiwada/notebookbe7426eea7", "kernel_id": "109036697"}, {"ref": "mdrehanulbary/aime-2026-i-120b-in-20mins-documented-properly", "kernel_id": "109211355"}, {"ref": "adityatrivedi2002/notebook958dc0c8a2", "kernel_id": "109301854"}, {"ref": "ninhhanh/v0-mask-dl-lstm-bilstm-b974d7", "kernel_id": "109226163"}, {"ref": "ninhhanh/v0-mask-dl-static", "kernel_id": "109118514"}, {"ref": "ninhhanh/v0-mask-dl-lstm-bilstm", "kernel_id": "109123726"}, {"ref": "ninhhanh/lo-bilstm-static-v12", "kernel_id": "109047047"}, {"ref": "ninhhanh/lo-lightgbm-static-n", "kernel_id": "109015418"}, {"ref": "kiza123123/trinity-aimo-h8-agent", "kernel_id": "109503445"}, {"ref": "rauffauzanrambe/neuromath-stage-5-full-single-file-version", "kernel_id": "109970451"}, {"ref": "aidansyrg/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "109513164"}, {"ref": "ayush9jha/aimo3-quazar-v0", "kernel_id": "109056495"}, {"ref": "uyentran10/model-rnn-hybrid", "kernel_id": "109009786"}, {"ref": "workofarttattoo/olympiad-solution", "kernel_id": "109202531"}, {"ref": "thil1606/dpl302m-image-colorization", "kernel_id": "109516749"}, {"ref": "himanshuyadav510/poc-for-ai", "kernel_id": "109623034"}, {"ref": "outliar/aimo-rag-baked-c283", "kernel_id": "110623620"}, {"ref": "kenneth14/abb-assignment", "kernel_id": "110871708"}, {"ref": "huikang/finetuned-model-on-fork", "kernel_id": "110941101"}, {"ref": "yuriao/aimo3-qwq-32b-vllm-tir", "kernel_id": "110785881"}, {"ref": "yuriao/aimo3-qwen2-5-math-7b-with-tir-majvote", "kernel_id": "110336283"}, {"ref": "yuriao/aimo3-qwen2-5-math-7b-with-majority-voting", "kernel_id": "110140505"}, {"ref": "prathamprajapati/aimo-3-utils", "kernel_id": "110981538"}, {"ref": "khoinguyennguyen/aimo3-carto-notebook-a-fixed-params", "kernel_id": "110934394"}, {"ref": "isaacgabriel/aimo-3-submission-demo-notebook-2-2", "kernel_id": "110515380"}, {"ref": "boristown/qwen3-5-wheels", "kernel_id": "110930986"}, {"ref": "boristown/qwen3-5-27b-agentic-lab-the-pioneer-s-swarm", "kernel_id": "110848384"}, {"ref": "harrysun2006/aimo-3-utils", "kernel_id": "110731551"}, {"ref": "harrysun2006/aimo-3-vllm-0-15-1", "kernel_id": "110730441"}, {"ref": "pedromarcoslocatelli/vestibulando-strategy", "kernel_id": "110037379"}, {"ref": "harshbari/golden-notebook", "kernel_id": "110429554"}, {"ref": "datlq1202/notebook81fc0cc4fa", "kernel_id": "110970949"}, {"ref": "kaanyorgun/aimo-3-2", "kernel_id": "110631038"}, {"ref": "kaanyorgun/44-aimo3", "kernel_id": "110250110"}, {"ref": "kaanyorgun/aimo-3-1", "kernel_id": "110467888"}, {"ref": "rezaazami/39-50-aimo3-confidence-voting-gpt-oss-120b", "kernel_id": "110396788"}, {"ref": "mrearthworm/sen12ms-cr-ts-dataset-eda", "kernel_id": "110802266"}, {"ref": "mrearthworm/m4-sar-dataset-eda-training-mt-gan", "kernel_id": "110266851"}, {"ref": "ippeiogawa/critique-rlm-like-cyicha-33-120b-a4e4", "kernel_id": "110955624"}, {"ref": "parthivmandala/student-gpu-1", "kernel_id": "110010625"}, {"ref": "shelterw/qwen3-5-w-python", "kernel_id": "110921144"}, {"ref": "shelterw/aimo-3-vllm-v16", "kernel_id": "110579299"}, {"ref": "nihilisticneuralnet/aimo3-step-back-prompting-2310-06117", "kernel_id": "110109541"}, {"ref": "ahoirg/41-50-gpt-oss-120b", "kernel_id": "110771202"}, {"ref": "junaid512/aimo3-fine-tuning-pipeline", "kernel_id": "110078147"}, {"ref": "danielleange/notebooka044909322", "kernel_id": "110397623"}, {"ref": "qunnedmoney/dpl302m-image-colorization", "kernel_id": "110579287"}, {"ref": "aliasifkhan131/rtdetrtrainingtextile", "kernel_id": "110726312"}, {"ref": "aliasifkhan131/resnet50-train", "kernel_id": "110970476"}, {"ref": "lerchenzhong/aimo-3-utils-with-flashinfer-patch-vllm-0-16-1", "kernel_id": "110850228"}, {"ref": "hichambedrani/boofa-skiler-aimo-prize-tpu", "kernel_id": "110033458"}, {"ref": "hichambedrani/boofa-skiler-aimo-prize-v4", "kernel_id": "110038289"}, {"ref": "hichambedrani/boofa-skiler-aimo-prize-v5", "kernel_id": "110038322"}, {"ref": "hichambedrani/boofa-skiler-aimo-prize-v1", "kernel_id": "110033446"}, {"ref": "hichambedrani/boofa-skiler-aimo-prize-v2", "kernel_id": "110033450"}, {"ref": "hichambedrani/boofa-skiler-aimo-prize-notebook", "kernel_id": "110895192"}, {"ref": "amanatar/35-50-stables", "kernel_id": "110734077"}, {"ref": "adityatrivedii/ball-net-training-without-aug", "kernel_id": "110307900"}, {"ref": "adityatrivedii/ball-net-ball-in-basket-improved-train", "kernel_id": "110426775"}, {"ref": "potrhino/aimo3-v3", "kernel_id": "110934422"}, {"ref": "aliasifkhan0709/yolov12trainingtextile", "kernel_id": "110745558"}, {"ref": "aliasifkhan0709/400yolov12trainingtextile", "kernel_id": "110752629"}, {"ref": "mdjunaidahmmad/h100-model", "kernel_id": "110112270"}, {"ref": "bngtbnh04/anti-overfitting", "kernel_id": "110347688"}, {"ref": "ishitabahamnia/ai-mathematical-olympiad-progress-prize-31", "kernel_id": "110804526"}, {"ref": "nguyennguyen599/aimo3-skills-optional-luck-required-gpt-oss-20b", "kernel_id": "110415595"}, {"ref": "nguyennguyen599/aimo3-gpt-oss-20b-astral-finetune", "kernel_id": "110936644"}, {"ref": "mah20050/mathmind-hybrid-aimo-3-symbolic-solver", "kernel_id": "110795290"}, {"ref": "legendreprime/notebook085db5c3f4-9d5689-59675f", "kernel_id": "110383273"}, {"ref": "lcnguynvnxun/openmathreasoning", "kernel_id": "110480040"}, {"ref": "camronwilliams/unbroken-v4-2-aimo3-competition-solver-bugfix", "kernel_id": "110854301"}, {"ref": "jonathanharrison1/amocomp", "kernel_id": "110181183"}, {"ref": "lduythi/dpl302m-image-colorization-91b0db", "kernel_id": "110212196"}, {"ref": "konstantinkuzmichev/aimo-3-utils", "kernel_id": "110783616"}, {"ref": "rabegf/aimo3-pacore-submission", "kernel_id": "110364682"}, {"ref": "vikiflovi/notebookcd9a6cd358", "kernel_id": "110783281"}, {"ref": "tsubasatech/aimo3-dataset-based", "kernel_id": "110718051"}, {"ref": "tsubasatech/aimo3-minimal-test", "kernel_id": "110717836"}, {"ref": "tsubasatech/aimo3-gold-medal-finetuning", "kernel_id": "110715292"}, {"ref": "tsubasatech/aimo3-gold-v2", "kernel_id": "110724748"}, {"ref": "tsubasatech/aimo3-vllm-0-13", "kernel_id": "110737304"}, {"ref": "tsubasatech/aimo3-debug-v3", "kernel_id": "110738248"}, {"ref": "tsubasatech/aimo3-gold-medal-solution", "kernel_id": "110635333"}, {"ref": "acunha11/aimo3-utility-notebook", "kernel_id": "110642622"}, {"ref": "shrivardhanijare/aimo3-submission", "kernel_id": "110261676"}, {"ref": "adityatrivedi2002/civil-beams", "kernel_id": "110073023"}, {"ref": "oanhnguyenvkthq/t5-xl-train", "kernel_id": "110816082"}, {"ref": "alleechaudhary/aimo-3", "kernel_id": "110001761"}, {"ref": "shravanpadhar/aimo3-deepseek-math-inference-baseline", "kernel_id": "110932840"}, {"ref": "christie/aimo-3-gpt-oss-120b-with-tools-4-bonus", "kernel_id": "111240749"}, {"ref": "darraghdog/cuda-13-1", "kernel_id": "111652268"}, {"ref": "davidacad10/aimo-agentic-solver-v1", "kernel_id": "111027712"}, {"ref": "krishm/aimo-pot-v1", "kernel_id": "111427798"}, {"ref": "nadeembinshajahan/aimo3-sc-tir-inference-maj-32", "kernel_id": "111516789"}, {"ref": "nadeembinshajahan/aimo3-maj-32-sc-tir", "kernel_id": "111517051"}, {"ref": "kalyankkr/firstproblem-tir-early-stopping-entropy-voti", "kernel_id": "111803167"}, {"ref": "anhtuan299/blackboard-expert-agent-assembly-solving-technique", "kernel_id": "111416885"}, {"ref": "anhtuan299/psc-aimo3-notebook-demo", "kernel_id": "111072109"}, {"ref": "yuriao/aimo3-qwen3-5-35ba3b-simple-mcts", "kernel_id": "111364305"}, {"ref": "yuriao/aimo3-qwen3-5-27b-vllm-tir", "kernel_id": "111180508"}, {"ref": "lonnieqin/aimo-3-solution", "kernel_id": "111772353"}, {"ref": "simonrba/aimo-3-utils", "kernel_id": "111691728"}, {"ref": "khoinguyennguyen/aimo3-cross-model-hard-problem-benchmarks", "kernel_id": "111539438"}, {"ref": "khoinguyennguyen/aimo3-carto-notebook-b-sg-fixed-params", "kernel_id": "111015510"}, {"ref": "khoinguyennguyen/aimo3-qwq32b-vllm-tir", "kernel_id": "111020353"}, {"ref": "khoinguyennguyen/qwen3-5-lab-fp8", "kernel_id": "111012187"}, {"ref": "khoinguyennguyen/llm-decoding-speculative", "kernel_id": "111071112"}, {"ref": "khoinguyennguyen/aimo3-blackboard-cross-model-multi-agent-solver", "kernel_id": "111355282"}, {"ref": "khoinguyennguyen/eagle3-specdecoding-optional-context-compression", "kernel_id": "111813945"}, {"ref": "pawanmali/aimo3-gpt-oss-120b-v118", "kernel_id": "111221812"}, {"ref": "pawanmali/aimo3-qwen2-5-3b-v120", "kernel_id": "111223055"}, {"ref": "pawanmali/aimo3-gpt-oss-120b-v117", "kernel_id": "111221265"}, {"ref": "pawanmali/aimo3-gpt-oss-120b-v116", "kernel_id": "111218789"}, {"ref": "pawanmali/aimo3-gpt-oss-120b-v115", "kernel_id": "111213565"}, {"ref": "pawanmali/aimo3-gpt-oss-120b-v113", "kernel_id": "111203584"}, {"ref": "pawanmali/aimo3-gpt-oss-120b-v114", "kernel_id": "111210763"}, {"ref": "pawanmali/aimo3-qwen2-5-math-1-5b-v120", "kernel_id": "111258310"}, {"ref": "boristown/aimo3-120b-math-agents-the-inquisitor", "kernel_id": "111403384"}, {"ref": "boristown/qwen3-5-27b-awq-4bit", "kernel_id": "111035607"}, {"ref": "elinaakhundzhanova/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "111956680"}, {"ref": "saulcontreras/aimo-3", "kernel_id": "111139486"}, {"ref": "hongbinguokaggle/aimo3-kaggle-models", "kernel_id": "111463124"}, {"ref": "hongbinguokaggle/aimo3-base-framework-test", "kernel_id": "111463228"}, {"ref": "hongbinguokaggle/aimo3-qwen3-5-solver-fixed-with-data-check", "kernel_id": "111461734"}, {"ref": "hongbinguokaggle/aimo3-qwen3-5-mathematical-reasoning-framework", "kernel_id": "111461457"}, {"ref": "hongbinguokaggle/aimo3-simple-solver", "kernel_id": "111462322"}, {"ref": "hongbinguokaggle/aimo3-auto-detect-columns", "kernel_id": "111462490"}, {"ref": "hongbinguokaggle/aimo3-local-model-no-internet", "kernel_id": "111462622"}, {"ref": "hongbinguokaggle/aimo3-qwen25-inference", "kernel_id": "111462732"}, {"ref": "hongbinguokaggle/aimo3-path-fixed", "kernel_id": "111462962"}, {"ref": "hongbinguokaggle/aimo3-qwen3-5-9b-int4-math-solver", "kernel_id": "111476254"}, {"ref": "hongbinguokaggle/aimo3-sc-tir-advanced-framework", "kernel_id": "111248971"}, {"ref": "hongbinguokaggle/aimo3-mctsr-genselect-advanced", "kernel_id": "111249060"}, {"ref": "hongbinguokaggle/aimo3-inference-gateway-submission", "kernel_id": "111248376"}, {"ref": "hongbinguokaggle/aimo3-qwen3-5-math-olympiad-solver", "kernel_id": "111247730"}, {"ref": "tlyleung/aimo-3-utility-script", "kernel_id": "111561484"}, {"ref": "proteales/notebookf2a463b9d5", "kernel_id": "111853783"}, {"ref": "muhammadibrahim3093/fork-of-gvr-pipeline-updated", "kernel_id": "111448675"}, {"ref": "kishanvavdara/gpt-oss-20b-grpo", "kernel_id": "111563372"}, {"ref": "mrearthworm/sen12ms-cr-ts-dataset-preprocessing", "kernel_id": "111358856"}, {"ref": "mrearthworm/cloud-removal-training-using-sen12ms-cr-ts-dataset", "kernel_id": "111360147"}, {"ref": "mrearthworm/cloud-removal-inference", "kernel_id": "111514092"}, {"ref": "mrearthworm/comparative-study-cloud-removal-attunet", "kernel_id": "111731778"}, {"ref": "latorange/aimo3-speedrun", "kernel_id": "111398231"}, {"ref": "shelterw/aimo-3-vllm-v17", "kernel_id": "111559973"}, {"ref": "shelterw/nvidia-nemotron-3-super-120b-a12b-nvfp4-w-python", "kernel_id": "111996076"}, {"ref": "ggayoayogg/ayogg-aimo3", "kernel_id": "111406486"}, {"ref": "wilches/aimo3-full-pipeline", "kernel_id": "111806474"}, {"ref": "ahoirg/40-50-gpt-oss-120b-cwmv-low-min-p-temp-swep", "kernel_id": "111198256"}, {"ref": "thangkth/datamining-near-duplicate", "kernel_id": "111539271"}, {"ref": "thangkth/scale-benchmark", "kernel_id": "111582815"}, {"ref": "thangkth/multi-task-model", "kernel_id": "111881130"}, {"ref": "biansun/aimo3-gpt-oss-120b-with-bayesian-belief", "kernel_id": "111604502"}, {"ref": "kienngx/aimo3-oss-120b-4-prompts-8-attempts-reasoning-log", "kernel_id": "111749351"}, {"ref": "kienngx/aimo3-oss-120b-inference-only", "kernel_id": "111449313"}, {"ref": "nahidhossainredom/aimo-3-llm-as-judge", "kernel_id": "111849703"}, {"ref": "theexaltedone/aimol", "kernel_id": "111097733"}, {"ref": "aliasifkhan131/extendederroranalysisrtdetrtrainingtextile", "kernel_id": "111714611"}, {"ref": "aliasifkhan131/5pererroranalysisrtdetrtrainingtextile", "kernel_id": "111683200"}, {"ref": "aliasifkhan131/erroranalysisrtdetrtrainingtextile", "kernel_id": "111662298"}, {"ref": "haradibots/building-data-for-img-model", "kernel_id": "111139620"}, {"ref": "haradibots/aimo3-complete-notebook", "kernel_id": "111485853"}, {"ref": "haradibots/to-40-0b59a5-4c690a", "kernel_id": "111486637"}, {"ref": "mata3111v/ssh-r-kaggle-gpu", "kernel_id": "111745018"}, {"ref": "mata3111v/ssh-r-kaggle-cpu", "kernel_id": "111106944"}, {"ref": "ngkien/ssh-kaggle-visualstudiocode", "kernel_id": "111107339"}, {"ref": "lerchenzhong/39-43-stable-9b2892", "kernel_id": "111285998"}, {"ref": "surasan092/test4", "kernel_id": "111120714"}, {"ref": "amanatar/try-qwen-122b-nvfp4-quantization", "kernel_id": "111181099"}, {"ref": "mayxchen/39-43-stable-a1021e", "kernel_id": "111506569"}, {"ref": "stithpragya/aimo3-stable-34-36-score-gpt-oss-120b-sc-tir", "kernel_id": "111139442"}, {"ref": "nguyennguyen599/aimo3-vllm-wheel", "kernel_id": "111724045"}, {"ref": "hungphanmj/bart-gen", "kernel_id": "111752126"}, {"ref": "hungphanmj/lstm-gen", "kernel_id": "111994915"}, {"ref": "zetkal/add-pairwise-self-verification", "kernel_id": "111559548"}, {"ref": "halitta/aimo-3-qwen3-5-122b-a10b-solver-offline", "kernel_id": "111247260"}, {"ref": "halitta/aimo-3-qwen3-5-122b-a10b-gguf-solver", "kernel_id": "111246749"}, {"ref": "halitta/aimo-3-qwen3-5-iq4-xs-gguf-solver", "kernel_id": "111247913"}, {"ref": "halitta/aimo3-qwen-solver-verifier", "kernel_id": "111250493"}, {"ref": "halitta/aimo3-nemotron-3-solver-critique-pipeline", "kernel_id": "111081338"}, {"ref": "haidarali09/ai-mathematical-olympiad", "kernel_id": "111550922"}, {"ref": "namthanh189/notebook2c969ea886", "kernel_id": "111540462"}, {"ref": "varianceofx/gpt-oss-120b-tot", "kernel_id": "111501449"}, {"ref": "varianceofx/32-50-let-me-cook-mstiriously", "kernel_id": "111373873"}, {"ref": "huzaifaakmal12/aimo-baseline", "kernel_id": "111692640"}, {"ref": "ductri0981/sft-fol", "kernel_id": "111310176"}, {"ref": "sadmanahmedsiam/ans-verifys", "kernel_id": "111850483"}, {"ref": "sinjadebth/aimo3", "kernel_id": "111654429"}, {"ref": "opencv411/aimo-luck-is-all-i-need", "kernel_id": "111742197"}, {"ref": "opencv411/will-god-bless-me", "kernel_id": "111368508"}, {"ref": "toxirmalik/ai-mathematical-olympiad-progress-full-code", "kernel_id": "111227442"}, {"ref": "loubnaenakhli/v1-aimo3", "kernel_id": "111910138"}, {"ref": "nanhappens/qwen2-5-math-1-5b-instruct-on-aimo3", "kernel_id": "111225655"}, {"ref": "aaniuniverse/aimo-3-submission-notebook", "kernel_id": "111592549"}, {"ref": "sarikondamanoharraju/aimo-3-120b-math-agent-self-correction-entro", "kernel_id": "111674423"}, {"ref": "rauffauzanrambe/neuromath-v10-hyper-intelligent-hybrid-solver", "kernel_id": "111236170"}, {"ref": "rauffauzanrambe/qwen3-5-27b-olympiad-solver-4-agent-swarm-archite", "kernel_id": "111306558"}, {"ref": "rauffauzanrambe/aimo-hybird-ensemble-test-classification-harmoning", "kernel_id": "111868741"}, {"ref": "aminmahmoudalifayed/i-studied-every-top-solution-2", "kernel_id": "111698549"}, {"ref": "aminmahmoudalifayed/i-studied-every-top-solution", "kernel_id": "111537753"}, {"ref": "thil1606/dpl302m-image-colorization-last", "kernel_id": "111070561"}, {"ref": "tensorhydra/qwen3-8b-aimo3-finetuning", "kernel_id": "111537011"}, {"ref": "tensorhydra/qwen3-8b-finetune-numinamath", "kernel_id": "111114710"}, {"ref": "tensorhydra/gpt-oss-20b-finetune-numinamath", "kernel_id": "111216192"}, {"ref": "tensorhydra/qwen3-8b-numinamath-merging", "kernel_id": "111292631"}, {"ref": "igormerlinicomposer/mate-actl-1", "kernel_id": "111018970"}, {"ref": "omsahu4503/aimo3-final-notebook", "kernel_id": "111574637"}, {"ref": "omsahu4503/aimo3-complete-notebook", "kernel_id": "111340654"}, {"ref": "ngoczhu/rtr-new-experiments", "kernel_id": "111104211"}, {"ref": "kethangoparapu/44-50-let-me-over-cook-aa661e", "kernel_id": "111433850"}, {"ref": "jasonthird/aimo3-multi-prompt-strategy", "kernel_id": "111646674"}, {"ref": "sorokin/pip-install-aimo3", "kernel_id": "112395581"}, {"ref": "ayman3000/aimo-39", "kernel_id": "112761122"}, {"ref": "suneetsaini/aimo3-ai-mathematical-olympiad", "kernel_id": "112269215"}, {"ref": "tomkessous/aimo3-qwen35-v2", "kernel_id": "112560281"}, {"ref": "tomkessous/aimo3-gptoss", "kernel_id": "112560749"}, {"ref": "tomkessous/aimo3-qwen35", "kernel_id": "112501459"}, {"ref": "tomkessous/aimo3-nemotron-v2", "kernel_id": "112516342"}, {"ref": "jeannkouagou/public-aimo-3-utils", "kernel_id": "112090725"}, {"ref": "piirina/aimo-3-winner-0239c3", "kernel_id": "112398443"}, {"ref": "complexsimple/aimo-3-submission-notebook", "kernel_id": "112053166"}, {"ref": "khoinguyennguyen/aimo3-ensemble-3x-finetuned-gpt-20b", "kernel_id": "112616687"}, {"ref": "khoinguyennguyen/gpt-oss-40b-60b-expert-expanded-bases-for-sft", "kernel_id": "112473009"}, {"ref": "khoinguyennguyen/llm-sft-finetuning-lora", "kernel_id": "112424259"}, {"ref": "kahofu/aimo-math-solver-baseline", "kernel_id": "112391317"}, {"ref": "poruskapil1/baseline", "kernel_id": "112913843"}, {"ref": "datlq1202/train-zalo", "kernel_id": "112709942"}, {"ref": "esabellechen/aimo-pp3-utils", "kernel_id": "112684671"}, {"ref": "aadityapaudel/aimoaen14-v0-2-1", "kernel_id": "112855541"}, {"ref": "imyeeee/39-43-stable-a1021e", "kernel_id": "112526849"}, {"ref": "nozomisuzuki/44-50-let-me-over-cook", "kernel_id": "112275158"}, {"ref": "scenerysunfireink/v06-larger-test-dataset-v00", "kernel_id": "112377616"}, {"ref": "ggayoayogg/ayogg-aimo3-submit", "kernel_id": "112161049"}, {"ref": "saketposwal/aimo-3-vllm-v18", "kernel_id": "112998965"}, {"ref": "ibtida01/my-task-on-ml-project", "kernel_id": "112115742"}, {"ref": "thangkth/blackboard-orchestrated-multi-agent", "kernel_id": "112438151"}, {"ref": "thangkth/aimo3-blackboard-orchestrated-multi-agent-solver", "kernel_id": "112435289"}, {"ref": "thangkth/minhashlsh-benchmark", "kernel_id": "112256996"}, {"ref": "thangkth/tool-integrated-reasoning-for-aimo3", "kernel_id": "112389755"}, {"ref": "thangkth/beyond-majority-vote-for-aimo3", "kernel_id": "112390084"}, {"ref": "thangkth/qwen3-5-vllm-tir-python-tool", "kernel_id": "112391927"}, {"ref": "thangkth/deepseek-r1-distill-toolforge", "kernel_id": "112392719"}, {"ref": "thangkth/diarization-evaluation", "kernel_id": "112992424"}, {"ref": "nguyenducminhman/kd-logits-on-moocs", "kernel_id": "112511189"}, {"ref": "mushfiqurrahman6087/dual-view-image-and-text-fusion-segmented-lungs", "kernel_id": "112321196"}, {"ref": "claudiawong22856/vla-0-reproduction", "kernel_id": "112526372"}, {"ref": "hemanthvaigandla/notebookc64529e352", "kernel_id": "112010584"}, {"ref": "ramo1234/vlm-inference", "kernel_id": "112708183"}, {"ref": "ramo1234/vlm-testing", "kernel_id": "112385606"}, {"ref": "aliasifkhan131/demo-egyptian-project", "kernel_id": "112564696"}, {"ref": "aliasifkhan131/hyeroglyph-translation-train", "kernel_id": "112251545"}, {"ref": "aliasifkhan131/custom-egyptiantranslation", "kernel_id": "112393278"}, {"ref": "aliasifkhan131/single-class-rtdetrtrainingtextile", "kernel_id": "112351332"}, {"ref": "haradibots/8bit-quantrization", "kernel_id": "112329995"}, {"ref": "haradibots/43-50-aimo-3-gpt-oss-120b-weighted-entropy", "kernel_id": "112113538"}, {"ref": "haradibots/qwen-3-5", "kernel_id": "112456653"}, {"ref": "haradibots/nemotron-3-nano-30b-a-3", "kernel_id": "112695484"}, {"ref": "perarasu2156/dataset-20k-eda", "kernel_id": "112493049"}, {"ref": "zaynyu/aimo3-nemotron-super-120b-nvfp4-utils", "kernel_id": "112003866"}, {"ref": "zaynyu/9-10-nvidia-nemotron3-super-120b-optimal-tir", "kernel_id": "112003476"}, {"ref": "aliasifkhan2105131/binary-class-detr", "kernel_id": "112484274"}, {"ref": "johnnysilverhand69/dual-modality-image-and-text-fusion", "kernel_id": "112252878"}, {"ref": "nguyennguyen599/aimo3-gpt-oss-120b-astral-finetune", "kernel_id": "112199505"}, {"ref": "hungphanmj/keybart", "kernel_id": "112322148"}, {"ref": "baotran2210/sp-mae-dm", "kernel_id": "112733695"}, {"ref": "kyanmahajan23/aimo-1", "kernel_id": "112805326"}, {"ref": "cesaraugusto1156156/37-50-let-me-over-cook-env2", "kernel_id": "112051862"}, {"ref": "danhnahh/math-reasoning", "kernel_id": "112593512"}, {"ref": "aaawenxu/aimo-3-fused-optimized-solution", "kernel_id": "112482336"}, {"ref": "varianceofx/let-me-improve-this-cooking", "kernel_id": "112783798"}, {"ref": "nunbest/iiiii", "kernel_id": "112383093"}, {"ref": "nunbest/up-notlearning", "kernel_id": "112540448"}, {"ref": "sadmanahmedsiam/fork-of-ans-verifys", "kernel_id": "112025593"}, {"ref": "nayeemuzzaman90/bblip-infer", "kernel_id": "112424517"}, {"ref": "mohitghansela/notebookda3e8a7d84", "kernel_id": "112331961"}, {"ref": "skohub/fork-of-notebookedc6f0ab5d", "kernel_id": "112038045"}, {"ref": "hessian005/notebook69669c7aed", "kernel_id": "112396153"}, {"ref": "minminandy/hw2-embedded", "kernel_id": "112978568"}, {"ref": "ivyjarvis/aimo3-phase-3-final-submission", "kernel_id": "112564511"}, {"ref": "salehahmedframel/notebook7c82f7ba5d", "kernel_id": "112859428"}, {"ref": "skidive/ans-verifys-110a47", "kernel_id": "112983716"}, {"ref": "hritvikatawde/aim-sol", "kernel_id": "112358270"}, {"ref": "hritvikatawde/aimo-3-submission-demo", "kernel_id": "112034412"}, {"ref": "rbrtsl/aimo3main", "kernel_id": "112087877"}, {"ref": "rbrtsl/aimo3-math-corpus-math-corpus-generator", "kernel_id": "112091135"}, {"ref": "akarshks/3-model-ensemble-script", "kernel_id": "112736744"}, {"ref": "raihanzahin/text-only-impression-generation-bert", "kernel_id": "112283008"}, {"ref": "raihanzahin/dual-modality-image-and-text-fusion", "kernel_id": "112210008"}, {"ref": "raihanzahin/dual-view-image-and-text-fusion-segmented-lungs", "kernel_id": "112288628"}, {"ref": "raihanzahin/single-modality-image-and-text-fusion", "kernel_id": "112174541"}, {"ref": "raihanzahin/text-only-impression-generation-training-inference", "kernel_id": "112168234"}, {"ref": "rauffauzanrambe/neuromath-max-hyper-hybrid-galaxy", "kernel_id": "112173728"}, {"ref": "mezbaussalaheen/training-models-nn", "kernel_id": "112200652"}, {"ref": "mezbaussalaheen/fork-of-capstone-model", "kernel_id": "112123548"}, {"ref": "thanhxuancun/blackboard-expert-agent-by-duong", "kernel_id": "112478753"}, {"ref": "yonasatinafu/aimo3-ref-public44-kienngx", "kernel_id": "112761592"}, {"ref": "henrykgreysson/competition", "kernel_id": "112343781"}, {"ref": "omsahu4503/fork-of-aimo3-final-notebook", "kernel_id": "112480193"}, {"ref": "yuuullll/at2qa-qwen3-5-9b-vllm-few-shot-compact-h100-public", "kernel_id": "112464892"}, {"ref": "yuuullll/at2qa-qwen9b-shortinfo-public", "kernel_id": "112477924"}, {"ref": "yuuullll/at2qa-qwen3-5-9b-vllm-zero-shot-h100-public", "kernel_id": "112455677"}, {"ref": "khaitq28/aimo3-cross-model-hard-problem-benchmarks-3f47ec", "kernel_id": "112045667"}, {"ref": "nitikachandel95/ai1-mo", "kernel_id": "112043362"}, {"ref": "youxinglian/aimo-3-utils-dependency", "kernel_id": "112657585"}, {"ref": "jasonthird/aimo3-utils-lammacpp", "kernel_id": "112159248"}, {"ref": "everettzhang/44-50-let-me-over-cook", "kernel_id": "112531359"}, {"ref": "jdoesv/domain-knowledge-uses", "kernel_id": "113922352"}, {"ref": "gautam1858/aimo3-gpt-oss-120b-enhanced", "kernel_id": "113057199"}, {"ref": "sorokin/gpt-oss-math-search", "kernel_id": "113923953"}, {"ref": "davidacad10/41-50-aimo-swarmrag-with-entropy-based-signals", "kernel_id": "113347704"}, {"ref": "akbroe/aimo-3-util-sage-vllm-0-11-2", "kernel_id": "113038845"}, {"ref": "ofidaner/aimo-v012-datagen", "kernel_id": "113825556"}, {"ref": "mohamed3abdelrazik/aimo-3-gpt-oss-20b-training", "kernel_id": "113745435"}, {"ref": "fedorbaart/aimo-3-utils-with-z3", "kernel_id": "113426009"}, {"ref": "yeoyunsianggeremie/aimo3-testing-turboquant", "kernel_id": "113895691"}, {"ref": "yeoyunsianggeremie/aimo3-wheels-testing-turboquant", "kernel_id": "113895354"}, {"ref": "harrabiraouf/new-to-tinker", "kernel_id": "113421456"}, {"ref": "khoinguyennguyen/eagle3-specdecoding-retry", "kernel_id": "113149922"}, {"ref": "khoinguyennguyen/fork-of-aimo3-cross-model-hard-problem-data-gen", "kernel_id": "113710605"}, {"ref": "khoinguyennguyen/eagle3-tot-super-original-stable-top-p", "kernel_id": "113672398"}, {"ref": "khoinguyennguyen/aimo3-qwen3-5-27b-4xspeed-fp8-mtp-specdecoding", "kernel_id": "113612218"}, {"ref": "khoinguyennguyen/nvidia-nemotron-3-super-120b-accelerated-tir", "kernel_id": "113990109"}, {"ref": "seungjunleeofficial/aimo-3-submission-day2", "kernel_id": "113911712"}, {"ref": "michaelpoluektov/aimo-3-utils", "kernel_id": "113824805"}, {"ref": "asalhi/merge-tinker-adapter-with-model-on-cpu-2", "kernel_id": "113910115"}, {"ref": "swapnilnarwade/math-tutor-llm-fine-tuning", "kernel_id": "113906833"}, {"ref": "konstantinboyko/aimo-3-48-03-02-nvidia-nemotron-cascade-2-30b-a3b", "kernel_id": "113238830"}, {"ref": "konstantinboyko/aimo-3-whl-vllm-0-18-0-py12-d168-v01", "kernel_id": "113051013"}, {"ref": "ameythakur20/ai-mathematical-olympiad-diagnostics-inference", "kernel_id": "113922398"}, {"ref": "ameythakur20/ai-mathematical-olympiad-environment-setup", "kernel_id": "113923590"}, {"ref": "skobayak/aimo3-prompt6-avoiding-frequent-errors", "kernel_id": "113579314"}, {"ref": "joseluissz/aimo-3-utils-jl", "kernel_id": "113114059"}, {"ref": "zhouliangyu99/15-15-aime-2026-i-120b-in-20mins-6e4c71", "kernel_id": "113200393"}, {"ref": "prashantlimba/aimo3-topic-classification-with-embeddings", "kernel_id": "113871442"}, {"ref": "esabellechen/aimo-test", "kernel_id": "113369284"}, {"ref": "esabellechen/aimo-gpt-agent-python-tool-val", "kernel_id": "113451732"}, {"ref": "esabellechen/aimo3-gpt-oss-120b", "kernel_id": "113871914"}, {"ref": "mr0106/aimo3-rank-1", "kernel_id": "113922848"}, {"ref": "mr0106/aimo3-advanced", "kernel_id": "113910090"}, {"ref": "mr0106/ai-mathematical", "kernel_id": "113696555"}, {"ref": "mr0106/ai-mathematical-olympiad-0", "kernel_id": "113693309"}, {"ref": "mr0106/ai-mathematical-olympiad-progress-prize-3", "kernel_id": "113646651"}, {"ref": "mr0106/aimo3-rank-1-challenger", "kernel_id": "113993437"}, {"ref": "shelterw/aimo-3-vllm-v18-puzzle", "kernel_id": "113813342"}, {"ref": "shelterw/nvidia-gpt-oss-puzzle-88b", "kernel_id": "113675203"}, {"ref": "b21dccn629/testfino1", "kernel_id": "113471854"}, {"ref": "minhtngbi/inference", "kernel_id": "113046455"}, {"ref": "nihilisticneuralnet/38-50-aimo-3-gpt-oss-120b-budget-allocation", "kernel_id": "113049035"}, {"ref": "sahruladicandra/aimo3-finetuning-pipeline", "kernel_id": "113382686"}, {"ref": "danieltsai04/aimo3-qwq-agentic-majority-voting-offline-v2", "kernel_id": "113417580"}, {"ref": "danieltsai04/aimo3-qwq-agentic-majority-voting-offline-fix", "kernel_id": "113416440"}, {"ref": "danieltsai04/aimo3-qwq-agentic-majority-voting-offline", "kernel_id": "113416471"}, {"ref": "mark0001/aimo3-gpt-oss-120b-tir-solver", "kernel_id": "113419994"}, {"ref": "keiyasugiura/aimo3-top-baseline", "kernel_id": "113043948"}, {"ref": "keiyasugiura/aimo-3-utils", "kernel_id": "113044220"}, {"ref": "keiyasugiura/aimo3-top-baseline-v2", "kernel_id": "113045019"}, {"ref": "keiyasugiura/aimo-3-deepseek-r1-distill-qwen-7b-awq", "kernel_id": "113043390"}, {"ref": "arulprasadsp/aimo3-inference-compute", "kernel_id": "113326462"}, {"ref": "arulprasadsp/aimo3-dual-model-verify", "kernel_id": "113983586"}, {"ref": "thangkth/h10000000", "kernel_id": "113397759"}, {"ref": "thangkth/pmc-oa-corpus-crawler", "kernel_id": "113132519"}, {"ref": "jakeclark38a/smart-contract-vulnerability-detection-gpt-2", "kernel_id": "113845070"}, {"ref": "nguyenducminhman/kd-feature-kd3", "kernel_id": "113462282"}, {"ref": "indranilbhadra/notebook51d58b03dd", "kernel_id": "113022457"}, {"ref": "hoanghuy2201/gte-reranker-server", "kernel_id": "113201984"}, {"ref": "lvxufei/qwen2-5-7b-lora-jsd-margin-bs12", "kernel_id": "113729300"}, {"ref": "lvxufei/qwen2-5-7b-jsdm-s73-lr4e-7-b3-0-g0-05", "kernel_id": "113887193"}, {"ref": "lvxufei/qwen2-5-7b-memory-probe", "kernel_id": "113470636"}, {"ref": "huytngnguyn/aimo3-qwen3-32b-vllm-tir-bd4c36", "kernel_id": "113378575"}, {"ref": "bariarituratibhai/new-but-old-ai", "kernel_id": "113586543"}, {"ref": "sangecaiji/44-50-let-me-over-cook-8c074b", "kernel_id": "113459521"}, {"ref": "xunthnhnguyn/llm-ngrok", "kernel_id": "113580971"}, {"ref": "aliasifkhan131/250epochhigh-res-rtdetrtrainingtextile", "kernel_id": "113299562"}, {"ref": "aliasifkhan131/high-res-rtdetrtrainingtextile", "kernel_id": "113233986"}, {"ref": "aliasifkhan131/highres-detr", "kernel_id": "113188552"}, {"ref": "aliasifkhan131/tiledyolov12trainingtextile", "kernel_id": "113475496"}, {"ref": "haradibots/finetuning-stable-diffusion", "kernel_id": "113576539"}, {"ref": "haradibots/44-50-let-me-over-cook", "kernel_id": "113187994"}, {"ref": "crazyzzz7/answer-evolve", "kernel_id": "113690907"}, {"ref": "jayantikhandavilli/jk-aimo3-utility-notebook-dependency-install", "kernel_id": "113671369"}, {"ref": "lerchenzhong/39-43-stable-a1021e-b01735-171d3c", "kernel_id": "113446715"}, {"ref": "sebastiangil00/aimo3-v7-winner-fork", "kernel_id": "113900890"}, {"ref": "hichambedrani/aimo-parquet-generator", "kernel_id": "113313768"}, {"ref": "birenkumarnayak/notebookb1110fa54c", "kernel_id": "113197130"}, {"ref": "nafisnahian/fc-sae-1", "kernel_id": "113567202"}, {"ref": "hairdinh/blackboard-expert-agent-assembly-solving-technique", "kernel_id": "113367066"}, {"ref": "hairdinh/aimo3-cross-model-hard-problem-benchmarks", "kernel_id": "113368507"}, {"ref": "kolenkovskin/aimo3-v33-fixed", "kernel_id": "113319485"}, {"ref": "avikdas567/aimo3-qwen-math-llm-with-dual-pass-reasoning-flow", "kernel_id": "113867359"}, {"ref": "devansh66/fork-of-main-aimo3", "kernel_id": "113944824"}, {"ref": "sigmazhong/39-43-stable-a1021e-68639d", "kernel_id": "113460611"}, {"ref": "sachchidanandadaki/aimo-submission-2", "kernel_id": "113590423"}, {"ref": "kiraidk/circleid-pen-classification-effnet-eda", "kernel_id": "113595370"}, {"ref": "zhuyifanss/lerobot-pi0-5-trainexample", "kernel_id": "113926068"}, {"ref": "namthanh189/notebook7dbd26d5a4", "kernel_id": "113445124"}, {"ref": "pragnyanramtha/parameter-golf", "kernel_id": "113091986"}, {"ref": "abdullahasoliman/aimo3-hira-tir-solver", "kernel_id": "113711991"}, {"ref": "patrycjawegrzynowicz/aimo3-utility-notebook-dependency-install-1-2", "kernel_id": "113643352"}, {"ref": "lcnguynvnxun/qwen3-5-utils-hcmus", "kernel_id": "113774139"}, {"ref": "skidive/ai-olympiad-25040b", "kernel_id": "113179832"}, {"ref": "hngliththu/crnn-for-uit-handwriten", "kernel_id": "113652472"}, {"ref": "shamaislam/aimoo", "kernel_id": "113682099"}, {"ref": "shamaislam/aimocom", "kernel_id": "113677927"}, {"ref": "thanhxuancun/aimo3-cross-model-hard-problem-benchmarks", "kernel_id": "113211584"}, {"ref": "thanhxuancun/eagle3-specdecoding-optional-context-compression", "kernel_id": "113685720"}, {"ref": "vmpr67/patchtst", "kernel_id": "113861213"}, {"ref": "vmpr67/pretrain-with-mimic-bp-5m", "kernel_id": "113996784"}, {"ref": "tensorhydra/qwen3-8b-aimo3-finetune", "kernel_id": "113587084"}, {"ref": "omsahu4503/fork-of-aimo3-final-notebook-v5", "kernel_id": "113689670"}, {"ref": "kimory/qwen2-5-7b-lora-jsd-margin-b5-g03-bs12", "kernel_id": "113729301"}, {"ref": "kimory/qwen2-5-7b-jsdm-s123-lr3e-7-b3-0-g0-1", "kernel_id": "113887195"}, {"ref": "yuuullll/qwen2-5-7b-jsdm-s17-lr5e-7-b2-5-g0-1", "kernel_id": "113887192"}, {"ref": "yuuullll/qwen2-5-7b-lm-eval-list-smoke", "kernel_id": "113865896"}, {"ref": "yuuullll/qwen2-5-7b-lora-simpo-bs12", "kernel_id": "113729297"}, {"ref": "yuuullll/simpo-h100-diag-comp-public", "kernel_id": "113436970"}, {"ref": "yuuullll/simpo-h100-diag-comp-public-v2", "kernel_id": "113437180"}, {"ref": "yuuullll/simpo-h100-sanity-fixed", "kernel_id": "113437913"}, {"ref": "yuuullll/simpo-h100-diag-comp-public-v3", "kernel_id": "113437412"}, {"ref": "yuuullll/simpo-h100-7b-baseline-full", "kernel_id": "113458007"}, {"ref": "yllllliii/qwen2-5-7b-jsdm-s23-lr4e-7-b2-5-g0-1", "kernel_id": "113887191"}, {"ref": "yllllliii/qwen2-5-7b-lora-jsd-bs12", "kernel_id": "113729298"}, {"ref": "hoang0605/aimo3-cross-model-hard-problem-benchmarks", "kernel_id": "113369354"}, {"ref": "mohamedmorsyeid/notebook64dfa4030c", "kernel_id": "113307280"}, {"ref": "indraanil/chained-memory-lstm-v3", "kernel_id": "113642230"}, {"ref": "bopengiowa/sub-f8768a-04021829", "kernel_id": "114425300"}, {"ref": "bopengiowa/sub-f8768a-04021830", "kernel_id": "114425342"}, {"ref": "bopengiowa/sub-f8768a-04021831", "kernel_id": "114425380"}, {"ref": "bopengiowa/sub-f8768a-04021832", "kernel_id": "114425408"}, {"ref": "bopengiowa/sub-f8768a-04021833", "kernel_id": "114425454"}, {"ref": "bopengiowa/sub-f8768a-04021920", "kernel_id": "114427221"}, {"ref": "davidacad10/aimo-orchestrator-sbm-beam", "kernel_id": "114520295"}, {"ref": "kokkini/aimo-3-utils", "kernel_id": "114994270"}, {"ref": "chankhavu/ipython-sandbox", "kernel_id": "114562574"}, {"ref": "ayhampar/aimo-3-utils-1", "kernel_id": "114590558"}, {"ref": "ayhampar/offline-wheels-bundlev2", "kernel_id": "114847035"}, {"ref": "ayhampar/notebookcbc6df6faa", "kernel_id": "114860027"}, {"ref": "akbroe/sage-vllm-0-11-2", "kernel_id": "114481242"}, {"ref": "bomera/aimo-3-wheels", "kernel_id": "114283632"}, {"ref": "ofidaner/aimo-v012-datagen-1000", "kernel_id": "114798052"}, {"ref": "yuriao/aimo-3-utils-localtest", "kernel_id": "114133695"}, {"ref": "wguesdon/vllm-gemma4-wheels", "kernel_id": "114715774"}, {"ref": "fedorbaart/gemma-4-with-z3-and-cuda-13-and-tools", "kernel_id": "114480332"}, {"ref": "fedorbaart/cuda-v13-with-z3", "kernel_id": "114494822"}, {"ref": "fedorbaart/async-gemma", "kernel_id": "114700634"}, {"ref": "tahsinadnan/utility-aimo", "kernel_id": "114902169"}, {"ref": "harrabiraouf/merge-tinker-bug-fixed", "kernel_id": "114017490"}, {"ref": "pawanmali/chasing-47-50-aimo3-journey-of-60-experiments", "kernel_id": "114057664"}, {"ref": "goldian/aimo3-gold-smart-ensemble", "kernel_id": "114957798"}, {"ref": "harrysun2006/multi-model-a11h-v0028", "kernel_id": "114924636"}, {"ref": "harrysun2006/aimo-3-utils-0181", "kernel_id": "114968524"}, {"ref": "harrysun2006/aimo-3-utils-0151", "kernel_id": "114966434"}, {"ref": "harrysun2006/aimo-3-utils-0160", "kernel_id": "114967343"}, {"ref": "harrysun2006/aimo-3-utils-0171", "kernel_id": "114963122"}, {"ref": "harrysun2006/aimo-3-utils-0190", "kernel_id": "114969678"}, {"ref": "konstantinboyko/load-gpt-oss-20b-unsloth", "kernel_id": "114174102"}, {"ref": "konstantinboyko/unsloth-gpt-oss-20b-local-model", "kernel_id": "114174678"}, {"ref": "poruskapil1/utils-train", "kernel_id": "114672331"}, {"ref": "itsyoursumit/ai-mathematical-olympiad-submi2", "kernel_id": "114871283"}, {"ref": "hangtai/math-dinov3", "kernel_id": "114612374"}, {"ref": "rzatemizel/nosummarizer-direct-answer-333-judger-3-experiment", "kernel_id": "114493433"}, {"ref": "rzatemizel/333paralel-5-j-65k", "kernel_id": "114462571"}, {"ref": "naveenvenubagadi/numinamath-tir-rag-integrated", "kernel_id": "114639284"}, {"ref": "prashantlimba/gpt-oss-120b-sglang-inference-v4-3-1", "kernel_id": "114114956"}, {"ref": "merkiraz/aimo3-full-notebook-changed-sota-lite", "kernel_id": "114273147"}, {"ref": "mr0106/final-working-version", "kernel_id": "114706793"}, {"ref": "mr0106/aimo3-p100-compatible-solution", "kernel_id": "114043332"}, {"ref": "mr0106/definitive-version", "kernel_id": "114599872"}, {"ref": "mr0106/fast-load", "kernel_id": "114513691"}, {"ref": "mr0106/strict-timeout-version", "kernel_id": "114537743"}, {"ref": "mr0106/submission-ready-final", "kernel_id": "114484127"}, {"ref": "mr0106/aimo3", "kernel_id": "114502076"}, {"ref": "mr0106/final-production-version", "kernel_id": "114427954"}, {"ref": "thesharifzade/aimoazerbaijan-0105c9", "kernel_id": "114697226"}, {"ref": "thesharifzade/finetuningyoxlama", "kernel_id": "114595140"}, {"ref": "curiousmohammed/ans-verifys", "kernel_id": "114700987"}, {"ref": "muhammadibrahim3093/44-basline-top-h", "kernel_id": "114758627"}, {"ref": "rezaazami/40-50-voting-simple-commands-weigthed-entropy", "kernel_id": "114824746"}, {"ref": "shelterw/aimo-3-vllm-v19", "kernel_id": "114879891"}, {"ref": "punyamodi/aimo3-v1", "kernel_id": "114193539"}, {"ref": "solidsea/aimo3-h100-probe", "kernel_id": "114725778"}, {"ref": "thangkth/testdata", "kernel_id": "114558264"}, {"ref": "thangkth/b22dckh120-deeplearning", "kernel_id": "114238883"}, {"ref": "trungkiet/graph-jepa", "kernel_id": "114535212"}, {"ref": "mushfiqurrahman6087/seizure-classification-on-bonn-eeg-dataset", "kernel_id": "114719612"}, {"ref": "mushfiqurrahman6087/sc-tuh-eeg-dataset-contrastive-learning", "kernel_id": "114811180"}, {"ref": "quangnguyen2910/testtrainedllm", "kernel_id": "114682210"}, {"ref": "ductaitran/notebookdaa202eac4", "kernel_id": "114699409"}, {"ref": "ramo1234/vlm-infernce-final", "kernel_id": "114393279"}, {"ref": "muchat007/15-15-aime-2026-i-120b-in-20mins", "kernel_id": "114062191"}, {"ref": "timsinadipesh/aimo3", "kernel_id": "114874403"}, {"ref": "christoslazaridis/aimo3-submission", "kernel_id": "114746655"}, {"ref": "shogomiyawaki/ai-mathematical-olympiad-progress-prize-3-1", "kernel_id": "114380330"}, {"ref": "shogomiyawaki/ai-mathematical-olympiad-progress-prize-3-2", "kernel_id": "114377879"}, {"ref": "shogomiyawaki/ai-mathematical-olympiad-progress-prize-3-3", "kernel_id": "114574191"}, {"ref": "shogomiyawaki/aimo3-gold-medal-contender-full-production-pip", "kernel_id": "114565210"}, {"ref": "shogomiyawaki/aimo3-gold-medal-contender-ultimate-pipeline", "kernel_id": "114567274"}, {"ref": "shogomiyawaki/basic", "kernel_id": "114559642"}, {"ref": "shogomiyawaki/aimo3-gold-medal-contender-sc-tir-ensemble", "kernel_id": "114558688"}, {"ref": "megamu2/lstm-v3", "kernel_id": "114422929"}, {"ref": "amanatar/ai-mathematical-olympiad", "kernel_id": "114468549"}, {"ref": "saurabhrajvarma/ai-mathematical-olympiad-39-50", "kernel_id": "114762051"}, {"ref": "birenkumarnayak/aimo-p3-symbolic-nlp-hybrid-solver", "kernel_id": "114071288"}, {"ref": "natsu879/notebook7becce0f4f", "kernel_id": "114101978"}, {"ref": "arnobisworst/fc-sae-1", "kernel_id": "114362289"}, {"ref": "fatinishrakarian/routing-transformer-benchmark", "kernel_id": "114361290"}, {"ref": "fatinishrakarian/vanilla-single-head", "kernel_id": "114398813"}, {"ref": "fatinishrakarian/linformer16", "kernel_id": "114432093"}, {"ref": "discryproduccion/math-starter-baseline", "kernel_id": "114192678"}, {"ref": "johnnysilverhand69/tuh-eeg-xai", "kernel_id": "114926454"}, {"ref": "msama01/aimo-3-deepseek-math-solver-migration-vllm", "kernel_id": "114592112"}, {"ref": "hinhongch/gemma4-success", "kernel_id": "114665198"}, {"ref": "ulvisharifzade/aimoazerbaijan", "kernel_id": "114221853"}, {"ref": "aorko321/notebooka1888a6558", "kernel_id": "114477514"}, {"ref": "aorko321/notebook4af25e4c77", "kernel_id": "114443330"}, {"ref": "aorko321/notebookfd3e815230", "kernel_id": "114639756"}, {"ref": "tanxiaolei/aimo3-mixed-solver-v1-rule-engine", "kernel_id": "114472961"}, {"ref": "tanxiaolei/aimo3-mixed-solver-v2-hybrid-strategy", "kernel_id": "114473711"}, {"ref": "tanxiaolei/aimo3-gpt-oss-120b-vllm-solver-v2", "kernel_id": "114943373"}, {"ref": "sachchidanandadaki/aimo-submission-3", "kernel_id": "114404732"}, {"ref": "abdullahasoliman/orla-aimo3-v5-hybrid-math-solver", "kernel_id": "114115344"}, {"ref": "abdullahasoliman/aimo3-multi-strategy-solver", "kernel_id": "114120242"}, {"ref": "abdullahasoliman/orla-aimo3-v6-reliable-solver", "kernel_id": "114137826"}, {"ref": "abdullahasoliman/aimo3-hybrid-heuristics", "kernel_id": "114152162"}, {"ref": "abdullahasoliman/aimo3-hira-v1", "kernel_id": "114266514"}, {"ref": "abdullahasoliman/aimo3-hira-internet", "kernel_id": "114267185"}, {"ref": "abdullahasoliman/aimo3-simple-direct", "kernel_id": "114262528"}, {"ref": "abdullahasoliman/aimo3-hira-final", "kernel_id": "114263120"}, {"ref": "kashyapsinhgohil/hi-aevs", "kernel_id": "114393324"}, {"ref": "dzhang3701/prompt-sweep", "kernel_id": "114713297"}, {"ref": "mindwalking/thesis-v0-1", "kernel_id": "114750561"}, {"ref": "mindwalking/thesis-baseline", "kernel_id": "114701686"}, {"ref": "thoandanh/resume-fine-tuning-trocr-epoch-16-25", "kernel_id": "114237171"}, {"ref": "thoandanh/trocr-rec-h100", "kernel_id": "114143857"}, {"ref": "mukeshfiroda/39-43-stable-6a565a", "kernel_id": "114609232"}, {"ref": "mukeshfiroda/39-43-stable-3d16bc", "kernel_id": "114609460"}, {"ref": "nayeemuzzaman90/aorkos-linformer", "kernel_id": "114443885"}, {"ref": "trungnguyen2710t/recommendationsystem", "kernel_id": "114990314"}, {"ref": "mohit78241/ai-math-olympiad", "kernel_id": "114582107"}, {"ref": "hessian005/cache-script", "kernel_id": "114444327"}, {"ref": "minminandy/miniature-intelligent-drone-project", "kernel_id": "114047636"}, {"ref": "yash02102/aimo-3", "kernel_id": "114791378"}, {"ref": "crazypotatoo/nystromformer", "kernel_id": "114332980"}, {"ref": "crazypotatoo/rt-colab-contunuation", "kernel_id": "114150198"}, {"ref": "crazypotatoo/customattention", "kernel_id": "114393764"}, {"ref": "crazypotatoo/routing-transformer1", "kernel_id": "114360216"}, {"ref": "crazypotatoo/last-life-line", "kernel_id": "114613591"}, {"ref": "lonelypainter/fastformer", "kernel_id": "114355743"}, {"ref": "lonelypainter/selfattention", "kernel_id": "114344585"}, {"ref": "afhamadian/final-full-inference-pipeline", "kernel_id": "114486099"}, {"ref": "asikur119911/nystromformer", "kernel_id": "114445718"}, {"ref": "thanhxuancun/local-gpt-oss-fine-tuning-using-unsloth", "kernel_id": "114464237"}, {"ref": "scottford2701/hcmus-group-4", "kernel_id": "114264551"}, {"ref": "mausymzhanmakazhan/notebookd5829bed97", "kernel_id": "114575846"}, {"ref": "omsahu4503/aimo3-final-notebook-v4", "kernel_id": "114148781"}, {"ref": "izukia/aimo-3", "kernel_id": "114676751"}, {"ref": "annadjt/aimo-3-gpt-oss-120b-with-tools", "kernel_id": "114378030"}, {"ref": "dlthhb/what-to-eat", "kernel_id": "114725981"}, {"ref": "yanlaiemma/44-50-let-me-over-cook", "kernel_id": "114058294"}, {"ref": "flamingice2801/final-submission", "kernel_id": "114626710"}, {"ref": "smilyaiiscoolgubby/43-50-aimo-3-gpt-oss-120b-weighted-entropy", "kernel_id": "114051239"}, {"ref": "mitrngha/finetune-qwen3-5-tir", "kernel_id": "114164330"}, {"ref": "darynmoore/notebook9f48eaaa03", "kernel_id": "114232350"}, {"ref": "mehedihassanrased/routing-transformer-benchmark", "kernel_id": "114480168"}, {"ref": "yozoar/notebookc038a6c629", "kernel_id": "114962303"}, {"ref": "hpkaur34/gpt-oss-final", "kernel_id": "115537124"}, {"ref": "chankhavu/c2-distill-vllm018-watchdog", "kernel_id": "115177047"}, {"ref": "chankhavu/fork-of-vllm-0-18-0-py312-d168-flashinfer066", "kernel_id": "115176636"}, {"ref": "chankhavu/c2-distill-verifier", "kernel_id": "115749740"}, {"ref": "ofidaner/aimo-v036", "kernel_id": "115584654"}, {"ref": "jeannkouagou/finalnotebook", "kernel_id": "115328129"}, {"ref": "chewkokwahibrainai/lb43-12x80k-k8-nospecial-conf2048-eagle", "kernel_id": "115571417"}, {"ref": "khoinguyennguyen/adaptive-tree-of-thoughts-with-gpt-120b-eagle3", "kernel_id": "115648206"}, {"ref": "naoufelelbachir/gpt-oss-bnb-4bit", "kernel_id": "115068291"}, {"ref": "natnitarach/aimo-3-model-capability-dominate", "kernel_id": "115531618"}, {"ref": "naveenvenubagadi/numinamath-tir-rag-integrated-sglang", "kernel_id": "115298963"}, {"ref": "seifachour12/self-awareness-llm-benchmark", "kernel_id": "115863548"}, {"ref": "mr0106/competition", "kernel_id": "115561291"}, {"ref": "mr0106/advanced-mathematical", "kernel_id": "115560100"}, {"ref": "ippeiogawa/fork-v10timecforshort110-norej-critique-a8i4e4s2", "kernel_id": "115467340"}, {"ref": "abowesam/main-notebook", "kernel_id": "115930085"}, {"ref": "ayushparwal/maths-problem", "kernel_id": "115479476"}, {"ref": "sajadgoudarzi/sg-aimo-code-base", "kernel_id": "115679468"}, {"ref": "duongvucongtuan/otto-mbsrec-kaggle", "kernel_id": "115853541"}, {"ref": "icebeam777/adaptive-rsa-with-closing-and-updated-scheduler", "kernel_id": "115636490"}, {"ref": "arulprasadsp/aimo3-r1-distill-native", "kernel_id": "115549008"}, {"ref": "shashwatparikh/starting-text-and-seed-effect", "kernel_id": "115190392"}, {"ref": "christoslazaridis/aimo3-benchmarking", "kernel_id": "115922742"}, {"ref": "azmaininqiadadeeb/pvt-lb-232-main-imo-2agent-3-2set-weight-vdt-dag", "kernel_id": "115348546"}, {"ref": "nabilalagi/aimolast", "kernel_id": "115439676"}, {"ref": "haradibots/fork-of-video-to-video-without-emotions", "kernel_id": "115315745"}, {"ref": "haradibots/ultra-stable-video-to-video-stylization", "kernel_id": "115342418"}, {"ref": "naileafalcon/aimo-mmx", "kernel_id": "115389295"}, {"ref": "potrhino/aimo3-v3-v11-runs", "kernel_id": "115262628"}, {"ref": "ishitabahamnia/notebook89841e321b", "kernel_id": "115732419"}, {"ref": "ulvisharifzade/aimo3-azerbaijan", "kernel_id": "115278784"}, {"ref": "abaghyangor/gpt-oss-120b-voting-weighted-entropy", "kernel_id": "115773916"}, {"ref": "akm009/aimo3-gpt-oss-120b-harmony-vllm", "kernel_id": "115108816"}, {"ref": "ahmedhazemhassan/octomath", "kernel_id": "115776452"}, {"ref": "jakubniegocki/aigon-aimo3-winning-solver-2-207-152-prize", "kernel_id": "115074351"}, {"ref": "cbdsigmas/100-100-subtask-1-0-973-subtask-2-0-884", "kernel_id": "115937877"}, {"ref": "perseus7/aimo-parallel-reasoning-with-adaptive-pruning", "kernel_id": "115147061"}, {"ref": "foysalemonshanto/aimo3-insha-allah", "kernel_id": "115424532"}, {"ref": "zumermalik/aimo-3-deterministic-generation-api-gateway", "kernel_id": "115758214"}, {"ref": "namandixit07/neuro-symbolic-math-engine-aimo", "kernel_id": "115640285"}, {"ref": "noivan0/pip-install-aimo3", "kernel_id": "115391437"}, {"ref": "lls5566/aimo-415", "kernel_id": "115197729"}, {"ref": "minaardekani/minautils", "kernel_id": "115207670"}, {"ref": "chankhavu/quantize-cascade-2", "kernel_id": "116570698"}, {"ref": "chewkokwahibrainai/evaluation-code-with-unrestricted-execution-time", "kernel_id": "116595703"}, {"ref": "takkyu/aimo-submission-final", "kernel_id": "116359942"}, {"ref": "hemanthvaigandla/phase-2-updating", "kernel_id": "116620289"}, {"ref": "ngarai/aimo-solver-v58", "kernel_id": "116395743"}, {"ref": "trungnguyen2710t/otto-mbsrec", "kernel_id": "116669480"}, {"ref": "hngliththu/lo-lightgbm-final", "kernel_id": "116107672"}, {"ref": "thuhng9/lo-v0-mask-final", "kernel_id": "116151346"}, {"ref": "uyentran10/model-rnn-hybrid-v2", "kernel_id": "116117103"}, {"ref": "thangkth/ssh-kangle", "kernel_id": "117467620"}, {"ref": "cherrychelly/train-3losss", "kernel_id": "117052698"}, {"ref": "sonnguyenk17/retfound-dinov2", "kernel_id": "118081815"}, {"ref": "ductaitran/ssh-cloudflare", "kernel_id": "118121783"}, {"ref": "pascalledesma/aimo3-majority-vote-tir", "kernel_id": "118043386"}, {"ref": "phamphuhoa/gfer-baseline-h100", "kernel_id": "119795453"}, {"ref": "aicompagnonx/monsterdog-real-world-agent-benchmark-this-benc", "kernel_id": "121868519"}, {"ref": "vedanshtyagi2451/fast-olympiad-mathematics-inference-engine", "kernel_id": "122276590"}, {"ref": "cmlinhnguyn/notebook8ba651b69f", "kernel_id": "122911718"}, {"ref": "dionysiusdavis/whisper-code-switching-asr-llm-rescoring", "kernel_id": "123076877"}, {"ref": "kevin250304/aimo44-gptoss-v2-20260810", "kernel_id": "130277773"}, {"ref": "kevin250304/aimo44-gptoss-v3-20260810", "kernel_id": "130278164"}, {"ref": "kevin250304/aimo3-utils-builder-20260810", "kernel_id": "130277515"}, {"ref": "kevin250304/aimo44-gpt-oss-reproduction-20260810", "kernel_id": "130277275"}, {"ref": "kevin250304/aimo44-gptoss-v4-public-utils-dataset-20260810", "kernel_id": "130282046"}]}
{"competition_id": "118523", "kernels": []}
{"competition_id": "118534", "kernels": [{"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "mpwolke/medgemma-hai-def", "kernel_id": "106913226"}, {"ref": "dedquoc/medgemma-rsna-trauma-reasoning-baseline", "kernel_id": "106940040"}, {"ref": "moh151274/medgemma-clinical-diagnostic-copilot", "kernel_id": "106983634"}, {"ref": "masanakashima/medgemma-impact-rag-kerasnlp-starter", "kernel_id": "106963173"}, {"ref": "masanakashima/medgemma-impact-rag-starter-v1", "kernel_id": "106963503"}, {"ref": "masanakashima/medgemma-starter-zero-to-impact-kerasnlp", "kernel_id": "106962937"}, {"ref": "loopassembly/dischargegpt-safe-plain-language-discharge-notes", "kernel_id": "106950114"}, {"ref": "ashujoshi23/medgemma-nexus-ai-powered-clinical-system", "kernel_id": "106932038"}, {"ref": "habanwer/gem-tunix-gemma-evidence-model-tune-in-jax", "kernel_id": "106396000"}, {"ref": "matsumotoarcade/txgemma-i-a-health-optmized", "kernel_id": "106936737"}, {"ref": "flemingj/notebook231ac85157", "kernel_id": "106982888"}, {"ref": "andreassal/assistive-chest-x-ray-reporting-with-medgemma", "kernel_id": "106950526"}, {"ref": "paramasivammathesh/clinical-safety-co-pilot", "kernel_id": "106939089"}, {"ref": "mkthangalpannippara/lab-report", "kernel_id": "106987868"}, {"ref": "gssreshta/medgemma-nexus-ai-clinical-system", "kernel_id": "106964260"}, {"ref": "aminmahmoudalifayed/healtrip-governed-ai-medical-decision-room-me", "kernel_id": "106931363"}, {"ref": "swapanroy/ai-powered-clinical-trial-candidate-selection", "kernel_id": "107890604"}, {"ref": "mayakalyan/medgemma-4b-ehr-navigator-agent-carebridge-ai", "kernel_id": "107378835"}, {"ref": "priya2117/medgemma-challenge", "kernel_id": "107228174"}, {"ref": "johnsonhk88/medgemma-heart-3d-ct-mri-analysis", "kernel_id": "107362332"}, {"ref": "johnsonhk88/medgemma-healthcare-assistance", "kernel_id": "107018734"}, {"ref": "purvanshsingh/signals-in-the-noise-reasoning-for-sepsis-hai-def", "kernel_id": "107051514"}, {"ref": "fernandosr85/asd-clinical-screening-assistant", "kernel_id": "107158102"}, {"ref": "venkatkumar001/vk-medical-ai-multimodal-intelligence", "kernel_id": "107699792"}, {"ref": "diegohurtadoo/multimodal-clinical-reasoning-agent", "kernel_id": "107023192"}, {"ref": "sasakitetsuya/medgemma-ready-wearable-recovery-dynamics-pipeline", "kernel_id": "107901235"}, {"ref": "sophinator/meds-orchestrator", "kernel_id": "107133043"}, {"ref": "kanchang12/notebook79a18720a4", "kernel_id": "107780131"}, {"ref": "vishwanathlokare/clinscribe-ai-listens-and-documents", "kernel_id": "107036188"}, {"ref": "kmatsu01/medgemma-x-covid19-ct-severity-classification-test", "kernel_id": "107020525"}, {"ref": "rhedsonesashika/arbovirus-amazon-triage-medgemma-1-5", "kernel_id": "107880670"}, {"ref": "harpdeci/starter-nb-fine-tune-medgemma-1-5-for-detection", "kernel_id": "107386638"}, {"ref": "antonioromano45/braingemma3d", "kernel_id": "107686661"}, {"ref": "vaishnavidesai345/dermassist-derm-ai-assistant-using-medgemma", "kernel_id": "107347356"}, {"ref": "marcelojantonio/neurovox-monitoramento-cognitivo-com-medgemma", "kernel_id": "107434713"}, {"ref": "mohamedfakhrysmile/ntd-assist-notebook", "kernel_id": "107151915"}, {"ref": "nikitamanaenkov/02-lnn-training-and-uncertainty-estimation", "kernel_id": "107955658"}, {"ref": "nikitamanaenkov/03-lgbm-baseline-evaluation-vs-lnn", "kernel_id": "107955660"}, {"ref": "nikitamanaenkov/04-medgemma-clinical-summarization-and-report-gene", "kernel_id": "107955663"}, {"ref": "nikitamanaenkov/01-obf-actigraphy-data-exploration-and-feature-ana", "kernel_id": "107955544"}, {"ref": "vivekumar001/medgemma-clearscan", "kernel_id": "107723228"}, {"ref": "sanidhyavijay24/stitch-watch-wound-trajectory-analysis", "kernel_id": "107203764"}, {"ref": "sanidhyavijay24/medgemma-1-5-longitudinal-x-ray-analysis", "kernel_id": "107079752"}, {"ref": "hamidmomand/radiology-report", "kernel_id": "107776548"}, {"ref": "jayaprakashmurugan/medgemma-agentic-starter-kit", "kernel_id": "107051002"}, {"ref": "nicholasmuthoki/medgemma-4b-deterministic-structural-compiler", "kernel_id": "107143881"}, {"ref": "akzworld/medgemma-cliniq-shift", "kernel_id": "107408570"}, {"ref": "payaldhokane/medgemma", "kernel_id": "107370153"}, {"ref": "admailfra/fra-rig", "kernel_id": "107774721"}, {"ref": "josealfonsin/notebookfb0160ab98", "kernel_id": "107769051"}, {"ref": "collistuskibe/training-medgemma", "kernel_id": "107278098"}, {"ref": "chenybit/hospital-digital-architect", "kernel_id": "107325488"}, {"ref": "chenybit/cheny-bit", "kernel_id": "107554297"}, {"ref": "vijay1608/medscript-ai-tool-basemodel-inference", "kernel_id": "107747227"}, {"ref": "aparnaroyt/medgemma-ai-powered-medical-diagnosis-assistant", "kernel_id": "107149769"}, {"ref": "aparnaroyt/medical-image-analysis-with-google-medgemma-1-5", "kernel_id": "107373036"}, {"ref": "datasciencegrad/medgemma-neurovox-cognitive-health-monitor-v6", "kernel_id": "107253356"}, {"ref": "datasciencegrad/medgemma-er-the-ai-triage-commander", "kernel_id": "107653902"}, {"ref": "wojciechkiebowicz/medgemma-shoulder-rehab-assistant", "kernel_id": "107029240"}, {"ref": "pilotsofai/a-lightweight-medgemma-based-edge-triage-ai-agent", "kernel_id": "107230106"}, {"ref": "onlytourist/katalin-notebook", "kernel_id": "107050972"}, {"ref": "machinegodv1/notebookcec90a465f", "kernel_id": "107079084"}, {"ref": "nevermorie/interface-for-initial-dermatological-examination", "kernel_id": "107384685"}, {"ref": "agropixel26/multi-source-med-gemma-framework-predictive-intell", "kernel_id": "107777043"}, {"ref": "iamsdt/medgemma-medical-ai-chatbot-5-test-scenarios", "kernel_id": "108855061"}, {"ref": "mirfan899/medflow-ai", "kernel_id": "108776857"}, {"ref": "fatimasalman/polypharmacy-guardian-with-med-gemma", "kernel_id": "108056721"}, {"ref": "udaken10/counseling-nurse", "kernel_id": "108513202"}, {"ref": "udaken10/the-notebook-for-nurse", "kernel_id": "108936120"}, {"ref": "udaken10/counseling-terminal-care-nurse", "kernel_id": "108937042"}, {"ref": "pawanmali/tbguard-multimodal-tb-screening", "kernel_id": "108154066"}, {"ref": "ucchwastalukder/medgemma-navigator-dicomweb-fhir", "kernel_id": "108351966"}, {"ref": "abhinavsharma0706/medgemma-01", "kernel_id": "108150805"}, {"ref": "mr0106/medassist-edge-offline-medical-ai", "kernel_id": "108934681"}, {"ref": "mr0106/medgemma", "kernel_id": "108926680"}, {"ref": "diwaslama/medgemma-medical-jargon-translator", "kernel_id": "108934486"}, {"ref": "vladimirrotariu/clinical-documentation-improvement-cdi-ai-agent", "kernel_id": "108279945"}, {"ref": "smrtkaggle/vishrashk", "kernel_id": "108492242"}, {"ref": "sheshasaidhande007/medgemma-advocate", "kernel_id": "108391264"}, {"ref": "sanidhyavijay24/onco-consensus-multi-agent-tumor-board", "kernel_id": "108336460"}, {"ref": "yoyu2024/pharmaguard", "kernel_id": "108846572"}, {"ref": "sarakeshtic/spasht-ai-medgemma", "kernel_id": "108092069"}, {"ref": "sarakeshtic/spasht-ai-bridging-india-s-last-mile-health-gap", "kernel_id": "108093410"}, {"ref": "ishitabahamnia/med-gemma-impact-challenge", "kernel_id": "108403550"}, {"ref": "topgotest/notebooktest", "kernel_id": "108133285"}, {"ref": "topgotest/nutriguardian-on-device-ai-system-using-medgemma", "kernel_id": "108134272"}, {"ref": "agathaalmeida/agentic-health-triage-mvp", "kernel_id": "108963680"}, {"ref": "ngarai/med-gem", "kernel_id": "108695530"}, {"ref": "joetheguide/housemd-r1-sft", "kernel_id": "108836419"}, {"ref": "dheerajkannaujiya/sehatsetu", "kernel_id": "108971389"}, {"ref": "tracrew/chronos-m2-medgemma-vacuum-guided-diagnosis", "kernel_id": "108879953"}, {"ref": "stoptv/crsa-clinical-reasoning-stability-auditor", "kernel_id": "108282668"}, {"ref": "sahithireddymaryada/edge-med-triage-medgemma-1-5-4b", "kernel_id": "108342062"}, {"ref": "sahithireddymaryada/medgemma-quickstart-baseline", "kernel_id": "108338613"}, {"ref": "rammohanhota/medgemma-ai-powered-medical-diagnosis-assistant", "kernel_id": "108026490"}, {"ref": "rbrtsl/medgemma-project-dai", "kernel_id": "108515683"}, {"ref": "collistuskibe/medgemmaa2", "kernel_id": "108962079"}, {"ref": "paultotor/sece-medassist-architectural-prototype", "kernel_id": "108362138"}, {"ref": "vijay1608/emergency-medassist", "kernel_id": "108047377"}, {"ref": "nidhiqls/medgemma-opd-assistant", "kernel_id": "108415711"}, {"ref": "aruldassr/chronoscan-3d-tumor-tracking-medgemma", "kernel_id": "108337807"}, {"ref": "agropixel26/dermai-lite", "kernel_id": "108401325"}, {"ref": "wudangdexiaodoashi/medgamme-version-reasearch", "kernel_id": "108744030"}, {"ref": "wudangdexiaodoashi/medsight-medcial-image-similarity-retrieval-sys", "kernel_id": "108222444"}, {"ref": "utahhans/medgemma-nexus-submission", "kernel_id": "108993900"}, {"ref": "zoupet/medgemma-polypharmacy-guardian", "kernel_id": "109612331"}, {"ref": "zoupet/clinical-note-bias-detection", "kernel_id": "109618184"}, {"ref": "keitano/gmm-medgemma-for-pathology", "kernel_id": "109994516"}, {"ref": "routhsrinivas/medgemma-skin-care", "kernel_id": "109587047"}, {"ref": "codekunoichi/caremap-medgemma-competition-v8", "kernel_id": "109795177"}, {"ref": "taboutmhamed/01-medgemma-exploration", "kernel_id": "109817277"}, {"ref": "pramodmisra2020/radtriage-ai-radiology-triage-pipeline", "kernel_id": "109493790"}, {"ref": "august1n3/edge-ai-diagnostic-assistant-setup", "kernel_id": "109532240"}, {"ref": "august1n3/tinkering-with-txgemma-one-of-medgemma-models", "kernel_id": "109024822"}, {"ref": "babarsiraj/hakeem-medgemma", "kernel_id": "109692974"}, {"ref": "kshitizkumarjangir/rxsafe-prescription-safety-companion", "kernel_id": "109789346"}, {"ref": "udaken10/covit19-sound-to-image", "kernel_id": "109459469"}, {"ref": "udaken10/cov19-fine-tuning", "kernel_id": "109616585"}, {"ref": "udaken10/advanced-cough-audio-analysis", "kernel_id": "109615817"}, {"ref": "udaken10/medgemma-1-5-fine-tuning-for-covid-19-cough-detect", "kernel_id": "109619757"}, {"ref": "udaken10/note-book0217-1", "kernel_id": "109640145"}, {"ref": "udaken10/ultimate-cough-analysis-pipeline", "kernel_id": "109645899"}, {"ref": "udaken10/notebook-0219-1", "kernel_id": "109977453"}, {"ref": "richardsonsouza/sentinela-fluvial-medgemma-4b-inference-pipeline", "kernel_id": "109498113"}, {"ref": "sagarkeshave/sol9x-medical-assistant", "kernel_id": "109140197"}, {"ref": "helmirinaldi/reinforcmenthealth", "kernel_id": "109853154"}, {"ref": "mohammedsaif2603/stressguard-decoding-exam-stress-from-wearables", "kernel_id": "109451454"}, {"ref": "eduardoricciricci/ricciers-governed-clinical-event-reasoning-system", "kernel_id": "109799432"}, {"ref": "armanzhalgasbayev/medgemma-1-5-4b-it-rocov2-pt-zero-shot-test", "kernel_id": "109486412"}, {"ref": "hctorjuliomeloocampo/ehr-downtime-recovery-solution", "kernel_id": "109621636"}, {"ref": "naveen2107/joint-gaurd", "kernel_id": "109982265"}, {"ref": "chachipiruli/interactivegrrg-medgemma", "kernel_id": "109065697"}, {"ref": "piyushpattnaik1210/medgemma", "kernel_id": "109334035"}, {"ref": "omartarek097/med-gemma", "kernel_id": "109256511"}, {"ref": "isumenuka/medgemma4b-naildisease-sft-finetuning", "kernel_id": "109658605"}, {"ref": "alihsannergiz/medgemma-lora-fine-tuning-with-gemini-as-a-teacher", "kernel_id": "109225408"}, {"ref": "lekhandayanandasagar/respi-view-360-multimodal-triage-for-respiratory", "kernel_id": "109065871"}, {"ref": "johnwegis/humboldt-derm-foundation-classifier", "kernel_id": "109824534"}, {"ref": "johnwegis/humboldt-medgemma-qlora", "kernel_id": "109824442"}, {"ref": "dudutron/discharge-navigator-medgemma-impact-challenge", "kernel_id": "109728999"}, {"ref": "swarajpatilds/radassist-ai-powered-radiology-report-assistant", "kernel_id": "109140796"}, {"ref": "swarajpatilds/subtlechange-pro", "kernel_id": "109663750"}, {"ref": "hamidmomand/radiology-report-3", "kernel_id": "109544013"}, {"ref": "jayaprakashmurugan/medswarm-multi-agent-clinical-decision-support", "kernel_id": "109682497"}, {"ref": "harshameghadri/medgemma-spatial-transcriptomics-analysis", "kernel_id": "109361612"}, {"ref": "pedroafonso2/notebook0720a57911", "kernel_id": "109807658"}, {"ref": "syedfarazhussaini/offline-bioinformatic-gemmed-integration", "kernel_id": "109571416"}, {"ref": "markgunnels/med-gemma-impact-prescription-cascade", "kernel_id": "109864218"}, {"ref": "okeoluwanifemi/medgemma-forensic-agent-deepfake-detection", "kernel_id": "109271676"}, {"ref": "utaazu/medgemma-perioperative-medication-navigator", "kernel_id": "109470475"}, {"ref": "icarusryu1/aegis-medgemma", "kernel_id": "109632442"}, {"ref": "arman1o1/medgemma-101", "kernel_id": "109773426"}, {"ref": "aridoge13/hamon", "kernel_id": "109293273"}, {"ref": "a1leyway/claritysoap-safety-grounded-agent", "kernel_id": "109663651"}, {"ref": "uzmaaasiya/medgemma-rural-healthcare-triage-system", "kernel_id": "109520509"}, {"ref": "kiza123123/myhealth-decoder-medgemma", "kernel_id": "109639205"}, {"ref": "kiza123123/myhealth-decoder-medgemma-patient-advocate", "kernel_id": "109638009"}, {"ref": "rauffauzanrambe/medvision-ai-smart-health-analysis", "kernel_id": "109576999"}, {"ref": "ayusht201/notebook89cdabbccb", "kernel_id": "109803087"}, {"ref": "aminmahmoudalifayed/the-future-of-medical-safety-governed-multimodal", "kernel_id": "109642333"}, {"ref": "aminmahmoudalifayed/the-45-minute-predictive-medical-warning-system", "kernel_id": "109838587"}, {"ref": "maximumabundance/second-opinion-multi-model-medical-ai-consensus", "kernel_id": "109995162"}, {"ref": "himanshubalara/gemma-2-0", "kernel_id": "109284512"}, {"ref": "wudangdexiaodoashi/medgamme-cxr", "kernel_id": "109521291"}, {"ref": "chaudhrysuleman/medgemma-1-5-4b-it-leukemia-lora", "kernel_id": "109461507"}, {"ref": "chaudhrysuleman/medgemma-1-5-4b-it-leukemia-lora-validation", "kernel_id": "109463388"}, {"ref": "ary5272/radassist-medgemma-ai-radiology-triage-assistant", "kernel_id": "109092810"}, {"ref": "yannisalan/notebook12530337", "kernel_id": "109140408"}, {"ref": "zakboughlita/from-voice-notes-to-structured-reports", "kernel_id": "109409094"}, {"ref": "ahmedsaleh999/notebookckdengine", "kernel_id": "109635694"}, {"ref": "noobsajbot/raiden-med", "kernel_id": "110139419"}, {"ref": "pondeepika/gemma3s-spot-segment-and-simplify", "kernel_id": "110062715"}, {"ref": "zhenyang0405/medsentinel-ai-multimodal-missed-diagnosis-prevent", "kernel_id": "110206953"}, {"ref": "zabolotnii/medgemma-structcore-demo-app", "kernel_id": "110460595"}, {"ref": "hossam82/medtrialmatch-ai", "kernel_id": "110333629"}, {"ref": "sayempasha165/medgemma-impact-challenge", "kernel_id": "110367655"}, {"ref": "taboutmhamed/01-medgemma-exploration-kaggle-gold", "kernel_id": "110026916"}, {"ref": "tns007/primacare-ai-competition-submission-notebook", "kernel_id": "110321850"}, {"ref": "vasanaust/convergeannie-au-dementia-digital-twin-orchestra", "kernel_id": "110488837"}, {"ref": "rohitk1410/woundtrack-ai-powered-longitudinal-wound-healing", "kernel_id": "110497051"}, {"ref": "adishgolechha/medgemma-finetuning-final", "kernel_id": "110042820"}, {"ref": "halimaakhter/medgemma-impact-challenge-clinical-robustness", "kernel_id": "110306166"}, {"ref": "udaken10/notebook-2021-1", "kernel_id": "110104949"}, {"ref": "khlwin/aura-autonomous-universal-remote-assistant", "kernel_id": "110520116"}, {"ref": "gouriprakash/peg-patient-education-generator", "kernel_id": "110532138"}, {"ref": "utkarshps/medgemma-multi-agent-prescription-assistant", "kernel_id": "110525853"}, {"ref": "userbitco/embedding-and-metadata-generation", "kernel_id": "110374040"}, {"ref": "muthuramkumars/med-assist", "kernel_id": "110282978"}, {"ref": "priyankanayyar/synthetic-data-notebook", "kernel_id": "110275716"}, {"ref": "priyankanayyar/sigveil-main-notebook", "kernel_id": "110456713"}, {"ref": "srinath2495/chestai-copilot-medgemma", "kernel_id": "110251165"}, {"ref": "prakash888kp/ai-clinical-support-system", "kernel_id": "110329314"}, {"ref": "meryemsakin/trialconnect-ai", "kernel_id": "110201472"}, {"ref": "jdlaurencechasen/continuity-care-assistant", "kernel_id": "110349024"}, {"ref": "aiswaryarani/medgemma-code-notebook-withadapter-and-rags", "kernel_id": "110303251"}, {"ref": "dhananjaysaikumark/medgemma-frontier-notebook", "kernel_id": "110231700"}, {"ref": "myeongeuncheon/vax-beacon", "kernel_id": "110326069"}, {"ref": "chachipiruli/interactivegrrg-medsiglip", "kernel_id": "110333582"}, {"ref": "vahitsnbl/gemmasentinel-proactive-public-health-safety-agent", "kernel_id": "110218827"}, {"ref": "angeltroncoso/salud-rural-e-ia", "kernel_id": "110120988"}, {"ref": "nirmittt/notebookecf30a0ee4", "kernel_id": "110196284"}, {"ref": "jethaniaditya/medgemma-rag-for-rural-clinical-triage", "kernel_id": "110178605"}, {"ref": "manamazam/medground-healthcare-ai", "kernel_id": "110449879"}, {"ref": "alejandrosierraserna/notebookde17c666f6", "kernel_id": "110341279"}, {"ref": "habanwer/atriom-ds-functiongemma", "kernel_id": "110479081"}, {"ref": "kolenkovskin/notebook-v9-final", "kernel_id": "110282713"}, {"ref": "sannihithlekkala/meddiag-ai-drug-safety-interaction-detection", "kernel_id": "110156726"}, {"ref": "mah20050/medguard-ai", "kernel_id": "110249108"}, {"ref": "deathlyhallows1239/medgemma-command-centre", "kernel_id": "110124618"}, {"ref": "kkfkmf/momnitrix-medsiglip-fine-tuning", "kernel_id": "110177253"}, {"ref": "kkfkmf/medgemma-lora-fine-tuning-2", "kernel_id": "110422198"}, {"ref": "jayaprakashmurugan/medswarm-intelligent-medical-agent-network", "kernel_id": "110544538"}, {"ref": "keven2025/medgemma-official-test", "kernel_id": "110132770"}, {"ref": "sandeepchakravartty/medgemma-impact-challenge", "kernel_id": "110109821"}, {"ref": "paulotuppy/notebookb9541d8b8a", "kernel_id": "110185016"}, {"ref": "erickfjsantos/histolens-smartscope-medgemma-processing-api", "kernel_id": "110549875"}, {"ref": "girrajjangid/carenote-ai-offline-clinical-note-summarizer", "kernel_id": "110310355"}, {"ref": "vikashgd/notebook-medgemma", "kernel_id": "110299921"}, {"ref": "nick2908/retinaguardagent", "kernel_id": "110457342"}, {"ref": "leepaulanto/notebook2fac277082", "kernel_id": "110343509"}, {"ref": "taizasilvestre/si3dc-medgemma-2", "kernel_id": "110504103"}, {"ref": "fadialzuabi/triage-amaz-nia-edge-medgemma-impact-challenge", "kernel_id": "110447959"}, {"ref": "gopi20315/aegis-cloud-edge-clinical-triage-assistant", "kernel_id": "110530993"}, {"ref": "fuseiniisaac/firstline-2-0-ai-voice-triage", "kernel_id": "110397944"}, {"ref": "kayzcq/chestgamma-prompt-engineering", "kernel_id": "110072614"}, {"ref": "olehokilko/medgemma-edge-cardiologist-afib-detection", "kernel_id": "110295689"}, {"ref": "machinegodv1/medgemma-rag-for-rural-clinical-triage", "kernel_id": "110208595"}, {"ref": "machinegodv1/agi-reality-check-v1", "kernel_id": "110209027"}, {"ref": "bheant/medgemma-challenge-med0wl", "kernel_id": "110545704"}, {"ref": "marllonpereira/esmeralda", "kernel_id": "110402454"}, {"ref": "phillipewolff/esmeralda", "kernel_id": "110402271"}, {"ref": "taewonhan/cliverad-by-medgemma-demo", "kernel_id": "110327413"}, {"ref": "rushisolunke/ai-for-health-awareness-building-a-simple-health", "kernel_id": "110776217"}, {"ref": "nikomllergrell/medgemma-challenge-notebook", "kernel_id": "110476987"}, {"ref": "tharunkodela/veinflow-medgemma-powered-agentic-edge-suite", "kernel_id": "110422016"}, {"ref": "anam632/glucoplanner", "kernel_id": "110106290"}, {"ref": "villagekm/notebookf3ea4a7a57", "kernel_id": "110555809"}, {"ref": "mullairjeudi/medflow-ai", "kernel_id": "110108503"}, {"ref": "arulcornelious/clinic-inbox-assistant", "kernel_id": "110348968"}, {"ref": "ayushsrivastava016/clinical-multi-agent-ai-system", "kernel_id": "113067797"}, {"ref": "sohailaabdelmageed/medgemma-1-5-longitudinal-x-ray-analysis", "kernel_id": "118205471"}, {"ref": "bretokce3amich/aura-autonomous-universal-remote-assistant", "kernel_id": "129303103"}]}
{"competition_id": "118551", "kernels": []}
{"competition_id": "118588", "kernels": []}
{"competition_id": "118703", "kernels": [{"ref": "napatjiaravijit/notebookaeb236582b", "kernel_id": "101123328"}, {"ref": "kenruttapon/notebook96831c45c9", "kernel_id": "101123204"}, {"ref": "pornphipat/613258-pornphipat", "kernel_id": "101122699"}]}
{"competition_id": "118712", "kernels": [{"ref": "ahmed3991/vignetteocr-submission-starter-code", "kernel_id": "96451386"}, {"ref": "abidmohamednadhir/yolo-v8-and-easyocr", "kernel_id": "96515441"}, {"ref": "abidmohamednadhir/yolov8-and-easy-ocr-offline-prediction", "kernel_id": "100007355"}, {"ref": "toukahabita/drug-sticker-eda", "kernel_id": "102755432"}, {"ref": "imadeddinedris/in-depth-eda-for-text-detection-in-vignette-images", "kernel_id": "102864569"}, {"ref": "imadeddineabid/synthetic-entete-generator-for-ocr-training-vign", "kernel_id": "103583254"}, {"ref": "hassanzoebidi/vignette-ocr-dataset-exploratory-data-analysis", "kernel_id": "103300024"}, {"ref": "chaimaferdia/entete-generation", "kernel_id": "105551636"}, {"ref": "mohamedlifa/lifa-vobb-with-yolo11n-obb", "kernel_id": "105637962"}, {"ref": "ahmedyacinlacheheb/vignettex-the-obb-precision-engine", "kernel_id": "105761293"}, {"ref": "chirazkahla/notebook74edfa317e-1-d9b620107c", "kernel_id": "106059234"}, {"ref": "mohamedlifa/notebookf6152b829c", "kernel_id": "106281066"}, {"ref": "mohamedlifa/synthetic-data-v7", "kernel_id": "106043377"}, {"ref": "mohamedlifa/lifa-ocr-v7-inference", "kernel_id": "106111866"}, {"ref": "bilalrazzaoug/lastocr", "kernel_id": "106104626"}, {"ref": "aminechihani/dtatageneration", "kernel_id": "106031336"}, {"ref": "imadeddinekir/notebook236c409c80fa5e113c09", "kernel_id": "106114509"}, {"ref": "sonic884552/submission-code-1st-place-solution", "kernel_id": "106112503"}]}
{"competition_id": "118765", "kernels": [{"ref": "yekim102/fin-pro-all-1-rna-2-base1-boltz1", "kernel_id": "83703930"}, {"ref": "zoushuxian/aido-rna-augmented-protenix", "kernel_id": "94116528"}, {"ref": "shams1/stanford", "kernel_id": "106959811"}, {"ref": "mpwolke/stacking-rna-as-a-kaggler-mfold-it", "kernel_id": "106497927"}, {"ref": "dedquoc/s-rna-3d-f-p2-clean-baseline-0-08-tm-score", "kernel_id": "106557619"}, {"ref": "purvanshsingh/from-sequence-to-structure-foundations-of-rna-3d", "kernel_id": "106495638"}, {"ref": "parsahriri/graghdiffusionbaseline", "kernel_id": "106732846"}, {"ref": "parsahriri/alignments", "kernel_id": "106909845"}, {"ref": "smartmanoj/helical-model", "kernel_id": "106472271"}, {"ref": "bachaboos/previous-winner-sub-2-hybrid-single-model", "kernel_id": "106422677"}, {"ref": "rhijudas/mmseqs2-3d-rna-template-identification-part-2", "kernel_id": "106439493"}, {"ref": "amishra527/stanford-rna-3d-folding-part-2-my-approach", "kernel_id": "106564336"}, {"ref": "rachaelmichael/competition-final-notebook", "kernel_id": "106530438"}, {"ref": "masanakashima/beginner-rna-3d-folding-2-baseline-rich-eda", "kernel_id": "106640701"}, {"ref": "masanakashima/stanford-rna-3d-folding-2-starter", "kernel_id": "106641203"}, {"ref": "leiwong/tbm-for-rna-what-part-1-winners-taught-us", "kernel_id": "106581204"}, {"ref": "krylovalexander/stanford-rna-3d-baseline", "kernel_id": "106426639"}, {"ref": "mehyarmlaweh/montecarlo-solution", "kernel_id": "106779437"}, {"ref": "kawaharataishi/tbm-pipeline-mmseqs2", "kernel_id": "106543305"}, {"ref": "kawaharataishi/let-s-start-eda-here", "kernel_id": "106494906"}, {"ref": "vaishnavidesai345/stanford-rna-3d-challenge", "kernel_id": "106573461"}, {"ref": "ashleypilger/stanford-rna-3d-folding", "kernel_id": "106689530"}, {"ref": "byronodhiambo/stanford-rna", "kernel_id": "106479938"}, {"ref": "romanagle/rna3d-dataset-extended", "kernel_id": "106823313"}, {"ref": "nihilisticneuralnet/stanford-rna-folding-2-template-based-approach", "kernel_id": "106535912"}, {"ref": "antonoof/rna-3d-baseline-cpu", "kernel_id": "106414699"}, {"ref": "rbv0416/lb-0-351-rna-folding-2-template-based-approach", "kernel_id": "106859691"}, {"ref": "purnamaridzkynugraha/from-zero-to-submission-simple-1d-cnn-with-optuna", "kernel_id": "106851455"}, {"ref": "aicompagnonx/notebookf0efa127fa", "kernel_id": "106529972"}, {"ref": "avish006/eda-rna-visualization", "kernel_id": "106496761"}, {"ref": "chikonzeroselemani/rna-3d-folding-ribonanzanet-inference", "kernel_id": "106563252"}, {"ref": "chikonzeroselemani/rna-3d-folding-ribonanzanet-training", "kernel_id": "106531466"}, {"ref": "haradibots/notebook207e9bdaa4", "kernel_id": "106546936"}, {"ref": "haradibots/notebook1356126f91", "kernel_id": "106548467"}, {"ref": "haradibots/fork-of-soo-i-got-this-import", "kernel_id": "106562880"}, {"ref": "haradibots/stanford-rna-3d-folding-part2-baseline", "kernel_id": "106516226"}, {"ref": "haradibots/sub-1-4-4-hybrid-final-take", "kernel_id": "106625365"}, {"ref": "divishjindal09/rna-eda", "kernel_id": "106692616"}, {"ref": "wynenicky/notebookd44056797e", "kernel_id": "106511818"}, {"ref": "arunsworkspace/stanford-rna-3d-folding", "kernel_id": "106492464"}, {"ref": "itbert/stanford-rna-3d-ensemble-geometric-constraints", "kernel_id": "106602960"}, {"ref": "olaflundstrom/stanford-rna-3d-folding-part2-rhofold-pipeline", "kernel_id": "106576247"}, {"ref": "khaaliswooden/stanford-rna-3d-a-form-helix-baseline", "kernel_id": "106520454"}, {"ref": "nitinseervi/notebook3e480d4578", "kernel_id": "106628960"}, {"ref": "mdferozahmedafm/stanford-rna-3d-folding-part2-baseline", "kernel_id": "106502118"}, {"ref": "randalllujan/rna-3d-folding", "kernel_id": "106571196"}, {"ref": "randalllujan/rna-predictiion", "kernel_id": "106575378"}, {"ref": "nina2025/stanford-rna-3d-folding-p2-ensemble-of-solutions", "kernel_id": "106545609"}, {"ref": "hmnshudhmn24/stanford-rna-3d-folding-part-2", "kernel_id": "106445691"}, {"ref": "alizahyder/heuristic-baseline-model-submission-2", "kernel_id": "106590064"}, {"ref": "alizahyder/heuristic-baseline-model", "kernel_id": "106496307"}, {"ref": "samyakrajbayar/rna-folding-v3", "kernel_id": "106594547"}, {"ref": "samyakrajbayar/around-0-350-rna-3d-folding-2", "kernel_id": "106582282"}, {"ref": "samyakrajbayar/lb-0-350-rna-3d-folding-2-improved-template", "kernel_id": "106622435"}, {"ref": "samyakrajbayar/notebook4b0e412ae7", "kernel_id": "106824727"}, {"ref": "yasirmohammadkhan/predict-the-3d-structure-of-rna-molecules", "kernel_id": "106504468"}, {"ref": "hithamohana/notebookf95401003f", "kernel_id": "106515905"}, {"ref": "jkhospital/notebooke4b15e3e02", "kernel_id": "106647467"}, {"ref": "hasnain201/rna-folding-2-template-based-approach", "kernel_id": "106873669"}, {"ref": "mayureshvinodwadile/stanford-rna-end-to-end-gru-baseline", "kernel_id": "106541210"}, {"ref": "jasooka/notebook78dd29f530", "kernel_id": "106575388"}, {"ref": "jasooka/notebookcaa9c83d21", "kernel_id": "106436374"}, {"ref": "mohamedolwan/notebook4225d76afe", "kernel_id": "106603925"}, {"ref": "mdabujayednoman/notebookaa74c7b6e4", "kernel_id": "106587832"}, {"ref": "abdulbasitgp/the-best-day-trading-platforms-and-tools-for-2026", "kernel_id": "106819905"}, {"ref": "kumarandatascientist/rna-baseline-model-version-1", "kernel_id": "107894342"}, {"ref": "kumarandatascientist/rna-3d-baseline-model-improved-version-2", "kernel_id": "107896424"}, {"ref": "sword4949/stanford-rna-3d-folding-part-2", "kernel_id": "107549253"}, {"ref": "sword4949/stanford-rna-3d-folding-part-2-v2", "kernel_id": "107961436"}, {"ref": "theoviel/stanford-rna-3d-folding-pt2-templates", "kernel_id": "107088004"}, {"ref": "theoviel/stanford-rna-3d-folding-pt2-rnapro-inference", "kernel_id": "107088092"}, {"ref": "theoviel/rna-3d-folding-pt2-rnapro-offline-inference", "kernel_id": "107121884"}, {"ref": "bjba99/protenix-prev-run-v1-interactive", "kernel_id": "107978743"}, {"ref": "marcelojantonio/neuroia-rna-previs-o-de-estrutura-3d", "kernel_id": "107632774"}, {"ref": "jaejohn/rnapro-inference-with-tbm", "kernel_id": "107197215"}, {"ref": "rishabhkannaujiya/s6e1-xgb-lgbm-catboost-auto-blend", "kernel_id": "107545966"}, {"ref": "zoli800/rna-baseline-model-version-1", "kernel_id": "107929459"}, {"ref": "nikitakuznetsof/0-365-rnapro-inference-with-tbm-tune", "kernel_id": "107216939"}, {"ref": "nikitakuznetsof/0-358-rna-3d-folding-2", "kernel_id": "107433352"}, {"ref": "haradibots/stanford-rna-folding-2-template-based-approach", "kernel_id": "107018884"}, {"ref": "trueshotjames/rna-template-based-model", "kernel_id": "107675916"}, {"ref": "sarankaaroan/ml-window-based-model", "kernel_id": "107136565"}, {"ref": "adilshamim8/stanford-rna-3d-folding-part-2", "kernel_id": "107324674"}, {"ref": "uzbtrust/stanford-rna-baseline-v1-0-352", "kernel_id": "107124305"}, {"ref": "huifangzju/rna-folding-v3", "kernel_id": "107694973"}, {"ref": "olaflundstrom/stanford-rna-3d-folding-part-2", "kernel_id": "107783811"}, {"ref": "avikdas567/helical-rna-3d-folding-baseline-5-conformations", "kernel_id": "107914655"}, {"ref": "charankulal0987/stanford-rna-3d-folding-pt-2", "kernel_id": "107177592"}, {"ref": "autumnrushford/notebook949f27c16f", "kernel_id": "107821130"}, {"ref": "hiroshige1/rna-3d-ribonanzanet-v7", "kernel_id": "107102794"}, {"ref": "hiroshige1/rna-3d-folding-template-v6", "kernel_id": "107029262"}, {"ref": "payaldhokane/stanford-rna-3d-folding", "kernel_id": "107611218"}, {"ref": "ridhamostefa/the-ridha-physics-universal0-67", "kernel_id": "107640861"}, {"ref": "mehediruhi/rna-folding-prediction", "kernel_id": "107922159"}, {"ref": "mustak1217/rna-3d-folding-submission", "kernel_id": "107424099"}, {"ref": "mustak1217/rna-3d-folding-baseline", "kernel_id": "107417333"}, {"ref": "mustak1217/rna-3d-folding-grok", "kernel_id": "107431740"}, {"ref": "mustak1217/rna-3d-folding-baseline-gemini", "kernel_id": "107441088"}, {"ref": "mustak1217/rna-3d-folding-baseline-1", "kernel_id": "107406439"}, {"ref": "shiv9am/3d-rna-fold", "kernel_id": "107208282"}, {"ref": "abdulkabir119/notebooka51c87fbb5", "kernel_id": "107750249"}, {"ref": "mohamedolwan/notebook02aae5e6c4", "kernel_id": "107042868"}, {"ref": "mohamedolwan/notebook84e7d28300", "kernel_id": "107675207"}, {"ref": "harrisadnanqamar/standford-rna-3d-folding-pt2", "kernel_id": "107125904"}, {"ref": "andrewlee23023/boltz-rnapro-inference-with-tbm", "kernel_id": "107220031"}, {"ref": "bridgeport/sam-sequence-different-ids", "kernel_id": "108538463"}, {"ref": "bridgeport/tm-score-and-pairwise-distance-matrix", "kernel_id": "108789794"}, {"ref": "sword4949/stanford-rna-3d-folding-part-2-ver-2", "kernel_id": "108382208"}, {"ref": "sword4949/stanford-rna-3d-folding-part-2-ver-3", "kernel_id": "108447450"}, {"ref": "hossam82/tbm-tune", "kernel_id": "108186044"}, {"ref": "hossam82/rna-3d-high-score", "kernel_id": "108538733"}, {"ref": "shitaoliao/stanford-rna-3d-folding-part-2-1-eda", "kernel_id": "108857508"}, {"ref": "parsahriri/dataanalysiswithr", "kernel_id": "108045872"}, {"ref": "parsahriri/dataanalysispart2", "kernel_id": "108690931"}, {"ref": "artembredikhin/stanford-rna-baseline-template-method", "kernel_id": "108699721"}, {"ref": "artembredikhin/stanford-rna-high-score", "kernel_id": "108699985"}, {"ref": "artembredikhin/protenix-finetuned-rna-inference", "kernel_id": "108987921"}, {"ref": "emanafi/stanford-rna-3d-folding", "kernel_id": "108534010"}, {"ref": "mehyarmlaweh/multiple-tbm-with-monte-carlo", "kernel_id": "108609389"}, {"ref": "gouthamarcot/rna-classifer", "kernel_id": "108802036"}, {"ref": "amirrezaaleyasin/openrnafold-data-cleaning", "kernel_id": "108679366"}, {"ref": "amirrezaaleyasin/compare-rnafold-submissions", "kernel_id": "108638920"}, {"ref": "amirrezaaleyasin/openrnafold-starter1", "kernel_id": "108567144"}, {"ref": "kebaka/stanford-rna-folding-2-starter-notebook", "kernel_id": "108430063"}, {"ref": "rohanrk1813/stanford-rna", "kernel_id": "108453912"}, {"ref": "zoli800/stanford-rna-3d-folding-part-2a18", "kernel_id": "108446632"}, {"ref": "aditi2005/rna-folding-0-366", "kernel_id": "108688548"}, {"ref": "shogomiyawaki/stanford-rna-3d-folding-part-2", "kernel_id": "108021167"}, {"ref": "donyaben/rna-3d-template-baseline", "kernel_id": "108919690"}, {"ref": "nikitakuznetsof/0-366-rna-heuristic-tuning", "kernel_id": "108260074"}, {"ref": "nikitamanaenkov/rna-3d-heuristic-tuning-gnn", "kernel_id": "108392916"}, {"ref": "nikitamanaenkov/rna-3d-diffusion-se-3-gnn-start", "kernel_id": "108393295"}, {"ref": "nabasaikia/rna-3d", "kernel_id": "108849559"}, {"ref": "dennisfial/rna3dv1", "kernel_id": "108537486"}, {"ref": "mah20050/stanford-rna-3d-folding-the-artist-s-notebook", "kernel_id": "108411086"}, {"ref": "olaflundstrom/stanford-rna-3d-folding-part-2-dtu-bioengineering", "kernel_id": "108529752"}, {"ref": "z4y4zz/srna3dfp2-2", "kernel_id": "108834503"}, {"ref": "kagger3/rna-folding-prediction-3feb-v2", "kernel_id": "108777683"}, {"ref": "adiithape/silver-medal-solution-rank-68", "kernel_id": "108901907"}, {"ref": "kami1976/stanford-rna-3d-folding-part-2f4", "kernel_id": "108670991"}, {"ref": "kami1976/stanford-rna-3d-folding-part-2a19", "kernel_id": "108436890"}, {"ref": "kami1976/stanford-rna-3d-folding-part-2a18", "kernel_id": "108401793"}, {"ref": "kami1976/stanford-rna-3d-parse-fasta-meta-data", "kernel_id": "108855754"}, {"ref": "kami1976/stanford-rna-3d-folding-part-2a4e", "kernel_id": "108713068"}, {"ref": "kami1976/stanford-template-based-rna-3d-folding-part-2", "kernel_id": "108774448"}, {"ref": "serkansaygl/stanford-rna-v1", "kernel_id": "108977938"}, {"ref": "mustak1217/rna-folding", "kernel_id": "108735155"}, {"ref": "shivanshcoding/rna-3d-first-submission", "kernel_id": "108821174"}, {"ref": "meenalsinha/optimized-rna-prediction", "kernel_id": "108600888"}, {"ref": "lamtung0481/nullivarna-v17-correct-bond-loss", "kernel_id": "108706991"}, {"ref": "lamtung0481/nullivarna-v16-faster-learning", "kernel_id": "108706304"}, {"ref": "lamtung0481/nullivarna-v10-submit-fixed", "kernel_id": "108078375"}, {"ref": "cochranj/rna-folding", "kernel_id": "108404807"}, {"ref": "samyakrajbayar/rna-v4", "kernel_id": "108769864"}, {"ref": "kamleshkumarpokharna/template-based-rna-folding-starter-kaggle-competi", "kernel_id": "108622674"}, {"ref": "datasciencegrad/stanford-rna-3d-tabm-optimized-stable-lb-0-371", "kernel_id": "108072377"}, {"ref": "rauffauzanrambe/fold-wars-stanford-rna-3d-challenge-part-2", "kernel_id": "108589202"}, {"ref": "gremkingreo/guetlit-lstm-baseline-phase-2-inference", "kernel_id": "108206449"}, {"ref": "alexxanderlarko/protenix-v1", "kernel_id": "109745955"}, {"ref": "lbugnon/boltz2-baseline", "kernel_id": "109277955"}, {"ref": "artemevstafyev/stable-0-406-without-hash", "kernel_id": "109618128"}, {"ref": "artemevstafyev/stable-0-371-score-without-hash", "kernel_id": "109240576"}, {"ref": "artemevstafyev/stable-0-413-without-hash", "kernel_id": "109978312"}, {"ref": "rluethy/template-or-protenix-lb-0-4-ish", "kernel_id": "109593848"}, {"ref": "odat1248/rnapro-inference-with-tbm-eba", "kernel_id": "109609830"}, {"ref": "odat1248/fork-of-rnapro-inference-with-tbm-eba", "kernel_id": "109994773"}, {"ref": "lolik228/template-match-quality-analysis", "kernel_id": "109493769"}, {"ref": "honganzhu/protenix-tbm", "kernel_id": "109936980"}, {"ref": "naganohikaru/boltz2-tbm-rnapro-drfold2-protenix", "kernel_id": "109381573"}, {"ref": "artembredikhin/protenix-fine-tuned-inference", "kernel_id": "109602216"}, {"ref": "artembredikhin/protenix-rna-offline-v2", "kernel_id": "109624182"}, {"ref": "masasato1999/rna-folding-test-v4-public", "kernel_id": "109452685"}, {"ref": "kadekpadmadarmawan/no-gpu-tbm-baseline-5-diverse-prediction-bb8862", "kernel_id": "109393321"}, {"ref": "qiweiyin/protenix-v1-inference-2026", "kernel_id": "109586957"}, {"ref": "amirrezaaleyasin/openrnafold-starter3", "kernel_id": "109997920"}, {"ref": "nihilisticneuralnet/0-409-stanford-rna-folding-2-protenix-template", "kernel_id": "109605285"}, {"ref": "imranyaishaik/imran-optimized-protenix-template-pipeline", "kernel_id": "109800523"}, {"ref": "anthonytherrien/rna-prediction-script", "kernel_id": "109241553"}, {"ref": "kaushalnandania/baseline-stanford-3d-rna", "kernel_id": "109614823"}, {"ref": "llkh0a/stanford-rna-3d-folding-part-2-protenix-tbm", "kernel_id": "109831383"}, {"ref": "xingruitong/rna-folding-prediction-12feb-v1", "kernel_id": "109789675"}, {"ref": "dennisfial/rna-3d-folding-v7-2", "kernel_id": "109042882"}, {"ref": "dennisfial/rna-3d-folding-v7-3", "kernel_id": "109533179"}, {"ref": "dennisfial/rna-3d-folding-v7-4", "kernel_id": "109692749"}, {"ref": "mah20050/torchrna-mapper-and-foldinglogic", "kernel_id": "109454775"}, {"ref": "rhythmghai/rna-3d-fold-hybrid-ensemble", "kernel_id": "109487634"}, {"ref": "olaflundstrom/notebooke75641d2be", "kernel_id": "109257788"}, {"ref": "kami1976/stanford-rna-3d-enhanced-model", "kernel_id": "109355697"}, {"ref": "kami1976/stanford-rna-3d-folding-ribonanzanet2", "kernel_id": "109145035"}, {"ref": "yash2072005/basic-arcitecture-for-standford-rna-3d-folding", "kernel_id": "109075877"}, {"ref": "analyticaobscura/rna-3d-folding-tbm", "kernel_id": "109485764"}, {"ref": "yuriygreben/stanford-rna-3d-folding-greedy-tbm-baseline", "kernel_id": "109224967"}, {"ref": "monopoly228/notebook623db44ccb", "kernel_id": "109369207"}, {"ref": "privatepiecerec/rna-rhofold-submit", "kernel_id": "109482975"}, {"ref": "samyakrajbayar/rna-prediction-script", "kernel_id": "109298380"}, {"ref": "charlesm85/rna-folding-prediction-31jan-updated", "kernel_id": "109760416"}, {"ref": "charlesm85/stanford-rna-3d-folding-pt2-rnapro-inference", "kernel_id": "109758812"}, {"ref": "rameezarachel/template-or-protenix-lb-0-4-ish", "kernel_id": "109617632"}, {"ref": "vivianchingzihua/stable-high-score-without-hash", "kernel_id": "109706792"}, {"ref": "alvintera/stanford-rna-part-2-physical-coordinates-new", "kernel_id": "109709571"}, {"ref": "artemevstafyev/high-score-without-hash", "kernel_id": "110183619"}, {"ref": "kumarandatascientist/3-pretrained-rna-3d-models-metaensemble", "kernel_id": "110246063"}, {"ref": "kumarandatascientist/one-of-the-pretrained-model", "kernel_id": "110470042"}, {"ref": "takahiro3110/pondering-about-pon-de-ring-2026v1", "kernel_id": "110400731"}, {"ref": "yasunorim/template-matching-w-b-via-kaggle-wandb-sync", "kernel_id": "110173174"}, {"ref": "juliashoobe/feb20", "kernel_id": "110098551"}, {"ref": "wliilamsam/stanford-rna-3d-extra-tbm-templates", "kernel_id": "110748506"}, {"ref": "yutaroito/protenix-pkl", "kernel_id": "110149861"}, {"ref": "andrewrenlin/stable-high-score-without-hash-78f9bb", "kernel_id": "110660626"}, {"ref": "imranyaishaik/imran-s-stanford-rna-3d-foldingv2", "kernel_id": "110052413"}, {"ref": "onya31/stanford-rna-3d-folding-part2", "kernel_id": "110730158"}, {"ref": "koushikkumardinda/stanford-rna-3d-folding-part-2", "kernel_id": "110571535"}, {"ref": "rn8205/evaluation", "kernel_id": "110453704"}, {"ref": "rn8205/high-score-without-hash", "kernel_id": "110266716"}, {"ref": "dennisfial/rna-3d-folding-clean-transforme-wat-ir-baseline", "kernel_id": "110266523"}, {"ref": "halitta/rna-3d-folding-advanced-ensemble-refined-v2-0", "kernel_id": "110648213"}, {"ref": "halitta/tbm-rna-3d-folding-part-2", "kernel_id": "110530061"}, {"ref": "sigmaborov/rna-3d-folding-competition-winner-approach", "kernel_id": "110763362"}, {"ref": "kacchanwriting/stanford-rna-3d-part2", "kernel_id": "110546773"}, {"ref": "renlinandrew/rsna-gvrsf-v5", "kernel_id": "110723284"}, {"ref": "toxirmalik/stanford", "kernel_id": "110913934"}, {"ref": "rahulchauhan016/stanford-rna-3d-folding-2", "kernel_id": "110142685"}, {"ref": "khushvaghela/rna-structure-prediction", "kernel_id": "110164657"}, {"ref": "kimakyung/stanford-rna-3d-folding", "kernel_id": "110305824"}, {"ref": "error1249x/protenix-x-tbm", "kernel_id": "110057311"}, {"ref": "rauffauzanrambe/stanford-rna-3d-folding-part-ii-toward", "kernel_id": "110906051"}, {"ref": "rauffauzanrambe/fold-wars-stanford-rna-3d-challenge-ensemble", "kernel_id": "110903598"}, {"ref": "rauffauzanrambe/stanford-rna-3d-folding-upgraded-competitive", "kernel_id": "110904338"}, {"ref": "rameezarachel/notebook53f8ad990e", "kernel_id": "110651994"}, {"ref": "aurascoper/hungarian-chain-mapping-hws", "kernel_id": "110733722"}, {"ref": "alvintera/standford-rna-3d-folding-part-2", "kernel_id": "110004068"}, {"ref": "bridgeport/test-notebook-spaced", "kernel_id": "111071697"}, {"ref": "artemevstafyev/stanford-rna-3d-folding", "kernel_id": "111659343"}, {"ref": "asimandia/stanford-rna-3d-folding", "kernel_id": "111988735"}, {"ref": "honganzhu/biopython-whl", "kernel_id": "111671207"}, {"ref": "craigparker/rna-3d-protenix-tbm-hybrid", "kernel_id": "111736149"}, {"ref": "khoinguyennguyen/study-openrnafold-starter3", "kernel_id": "111173203"}, {"ref": "khoinguyennguyen/study-baseline-stanford-3d-rna", "kernel_id": "111173348"}, {"ref": "pawanmali/rna-tabm-v73-multi-method-ensemble", "kernel_id": "111182369"}, {"ref": "pawanmali/rna-tabm-v71-structure-constrained", "kernel_id": "111157014"}, {"ref": "pawanmali/rna-tabm-v74-winner-inspired-tbm", "kernel_id": "111211211"}, {"ref": "mkaur1141/stanford-rna-3d-folding-part-2", "kernel_id": "111725983"}, {"ref": "wliilamsam/prote200-bolt-mix10", "kernel_id": "111812897"}, {"ref": "jiangxiwu/ribonanzanet-3d-finetune", "kernel_id": "111291459"}, {"ref": "eissaammar/stanford-rna-3d-folding-part-2", "kernel_id": "111354413"}, {"ref": "eissaammar/stanford-rna-3d-folding", "kernel_id": "111354299"}, {"ref": "majin1no1shokutaku/stanford-rna-3d-folding-part-2", "kernel_id": "111653556"}, {"ref": "lightningv08/stanford-rna-3d-folding-top-2-public-kernel", "kernel_id": "111457844"}, {"ref": "dfgtde/drfold", "kernel_id": "111779051"}, {"ref": "muhammadanas007/stanford-rna-3d-folding-kaggle-competition", "kernel_id": "111350678"}, {"ref": "gourabr0y555/rna-3d-folding-proteinex-tbm-inference-v-1", "kernel_id": "111041994"}, {"ref": "yunqianliu/final-version", "kernel_id": "111431541"}, {"ref": "shogomiyawaki/stanford-rna-3d-folding-2-1", "kernel_id": "111722272"}, {"ref": "maheshkannemadugu/stanford-rna-3d-folding", "kernel_id": "111300170"}, {"ref": "asomiddinsaidov/notebookb546e5b7c9", "kernel_id": "111397719"}, {"ref": "trnhquangminh140/new-stanford-rna-3d-folding-part-2-minh", "kernel_id": "111159110"}, {"ref": "z4y4zz/stanford-rna-3d-folding-part-2", "kernel_id": "111638510"}, {"ref": "rohitravi2/rnapro-rohitdraft-1", "kernel_id": "111246066"}, {"ref": "sigmaborov/stanford-rna-3d-folding-top-1-solution", "kernel_id": "111080711"}, {"ref": "sigmaborov/lb-0-438-stanford-rna-3d-folding", "kernel_id": "111695568"}, {"ref": "alisalmanrana/fork-of-fork-of-template-or-protenix-lb-0-43-ish", "kernel_id": "111192796"}, {"ref": "kacchanwriting/stanford-rna-3d-folding", "kernel_id": "111389687"}, {"ref": "ppilania1985/eda-rna-folding-2", "kernel_id": "111345068"}, {"ref": "skidive/stanford-rna-3d-folding-v2", "kernel_id": "111828135"}, {"ref": "tsubasatech/rna-champ-v3-gpu", "kernel_id": "111019257"}, {"ref": "tsubasatech/rna-champ-v3-final", "kernel_id": "111019406"}, {"ref": "tsubasatech/rna-champ-v3-fixed", "kernel_id": "111019212"}, {"ref": "tsubasatech/rna-championship-v3-openrnafold-enhanced", "kernel_id": "111019145"}, {"ref": "pjleek/notebook159b6dc0a2", "kernel_id": "111583228"}, {"ref": "djakyharis/bismillah", "kernel_id": "111662883"}, {"ref": "error1249x/protenix-rnapro", "kernel_id": "111677253"}, {"ref": "parthsarnobat/rna-3d-folding", "kernel_id": "111479529"}, {"ref": "accelra/stanford-rna-3d-folding-2-handup-finish", "kernel_id": "111592262"}, {"ref": "kiranshahzadi24k2019/standford-rna-3d-folding-part-2", "kernel_id": "111983492"}, {"ref": "nadeembinshajahan/rna-3d-option-b-tuned-params-384-8-4", "kernel_id": "112635830"}, {"ref": "nadeembinshajahan/rna-stanford-protenix-tbm-hybrid-v1", "kernel_id": "112625345"}, {"ref": "nadeembinshajahan/rna-stanford-top1-fork-v1", "kernel_id": "112625425"}, {"ref": "nadeembinshajahan/rna-stanford-optimized-params-v1", "kernel_id": "112625518"}, {"ref": "nadeembinshajahan/rna-3d-protenix-biopython-fix", "kernel_id": "112626949"}, {"ref": "takahiro3110/pondering-about-pon-de-ring-e2", "kernel_id": "112452461"}, {"ref": "takahiro3110/fixed-pondering-about-pon-de-ring", "kernel_id": "112663675"}, {"ref": "yuto0712/rna3d-exp029", "kernel_id": "112510618"}, {"ref": "kahofu/stanford-rna-3d-baseline", "kernel_id": "112365192"}, {"ref": "ilanmeyrowitsch/rna-3d-folding-hybrid-tbm-denovo-pipeline", "kernel_id": "112302126"}, {"ref": "naveenvenubagadi/vfold-codock", "kernel_id": "112076999"}, {"ref": "esabellechen/sf-rna-p2-template-protenix-merging", "kernel_id": "112261939"}, {"ref": "songhaojiaabcd/notebook047c5672e5", "kernel_id": "112497800"}, {"ref": "zhoukeru/fork1", "kernel_id": "112981716"}, {"ref": "helmirinaldi/stanfordpartthree", "kernel_id": "112380598"}, {"ref": "th3astr4/rna-competition-v2", "kernel_id": "112536785"}, {"ref": "th3astr4/rna-competition", "kernel_id": "112504633"}, {"ref": "chunluma/824project", "kernel_id": "112428654"}, {"ref": "chunluma/824projectcom", "kernel_id": "112437953"}, {"ref": "luongthedung/stanford-rna-3d-folding-pt2-rnapro-inference", "kernel_id": "112072092"}, {"ref": "muchat007/stanford-rna-3d-folding", "kernel_id": "112634603"}, {"ref": "aloneintokyo11/stanford-rna-3d-folding", "kernel_id": "112600169"}, {"ref": "bariarituratibhai/rna-protenix-tbm-v1", "kernel_id": "112384572"}, {"ref": "michadziwisz/rna-3d", "kernel_id": "112382107"}, {"ref": "sunljdata/rna-baseline-inference", "kernel_id": "112554136"}, {"ref": "sunljdata/rna-baseline-inference-v2", "kernel_id": "112559884"}, {"ref": "umeranis/rna-baseline-v1", "kernel_id": "112746548"}, {"ref": "anismarrouchi/systematic-autoresearch-tbm-protenix-optimization", "kernel_id": "112033369"}, {"ref": "llkh0a/rna-3d-p2-protenix-tbm-rnapro-15-3", "kernel_id": "112237793"}, {"ref": "yangy447/notebook015807432e", "kernel_id": "112510195"}, {"ref": "jingyanzhang51/notebookeb7ed00505", "kernel_id": "112499198"}, {"ref": "maxfreitas/rna-protenix-tbm-v1", "kernel_id": "112494579"}, {"ref": "andrewk444/rna-3d-folding-v2-improved-tbm", "kernel_id": "112468147"}, {"ref": "rajsarangam/stanford-rna-3d-folding-part-2-v9-raj-sarangam", "kernel_id": "112431962"}, {"ref": "mdshahriarrifat/notebook80d27033eb", "kernel_id": "112645100"}, {"ref": "ashishjd/hoperna", "kernel_id": "112631603"}, {"ref": "siweili6666/notebookeb81c4456d", "kernel_id": "112328991"}, {"ref": "lissandrakruse/fork-of-fork-of-notebookd220f3a805-0812d8", "kernel_id": "112147070"}, {"ref": "lissandrakruse/fork-of-notebookd220f3a805-374e4c", "kernel_id": "112097093"}, {"ref": "bensalahyassine213/rna-3d-folding", "kernel_id": "112144079"}, {"ref": "andrewlee23023/protenix-for-gap-filling", "kernel_id": "112324391"}, {"ref": "andrewlee23023/try-local-alignment-first-then-protenix", "kernel_id": "112514127"}, {"ref": "josiebyz/notebook026119ac18", "kernel_id": "112429137"}, {"ref": "ayeshabatool678/test-dataset", "kernel_id": "112021177"}, {"ref": "mshahzaibali/stanford-rna-3d-folding", "kernel_id": "112019462"}, {"ref": "isamuisozaki/my-approach-to-rna-folding", "kernel_id": "113909359"}, {"ref": "tobimichigan/end-to-end-rna-3d-structure-prediction-pipeline", "kernel_id": "113430364"}, {"ref": "gapchenko/gpu-accelerated-usalign", "kernel_id": "113080343"}, {"ref": "pawanmali/stanford-rna-3d-folding-key-learnings", "kernel_id": "113596017"}, {"ref": "ameythakur20/stanford-rna-3d-folding-part-2-tbm-protenix-v1", "kernel_id": "113344192"}, {"ref": "esabellechen/val-sf-rna-p2-template-protenix-merging", "kernel_id": "113224678"}, {"ref": "achintkaur9/824-case-study-submission", "kernel_id": "113427487"}, {"ref": "jasongyoon/rna-3d-protenix-biopython-imputation", "kernel_id": "113305398"}, {"ref": "zhoukeru/tbm-rhofoldensemble", "kernel_id": "113056579"}, {"ref": "yummyeol/rna-3d-protenix-biopython-fix", "kernel_id": "113518699"}, {"ref": "christina0920/notebook", "kernel_id": "113314050"}, {"ref": "shijunw123/notebook39f897d156", "kernel_id": "113457246"}, {"ref": "bowenwu01/v7v7-3d", "kernel_id": "113045797"}, {"ref": "xinyuy22/draft3-mar", "kernel_id": "113074446"}, {"ref": "hannahpozezinski/notebooka2bb26d1e2", "kernel_id": "113452313"}, {"ref": "wxqryy/protenix-rna-language-model-experiment", "kernel_id": "113307671"}, {"ref": "ishitabahamnia/notebookdc35af0a69", "kernel_id": "113445820"}, {"ref": "yuki16/stanford-rna-p2-tbm-protenix-fastroute-gpu", "kernel_id": "113025141"}, {"ref": "yuriygreben/protenix-tbm-stanford-rna-3d-folding-part-2", "kernel_id": "113537775"}, {"ref": "accelra/stanford-rna-3d-folding-strict-port-0448", "kernel_id": "113521624"}, {"ref": "bol123/final", "kernel_id": "113167605"}, {"ref": "andrewlee23023/qwen-try-local-alignment-first", "kernel_id": "113178552"}, {"ref": "yjunxu/stanford-rna-3d-folding-part-2a18", "kernel_id": "113071825"}, {"ref": "izziizziii/stanford-rna-folding-part2-submission", "kernel_id": "113272822"}, {"ref": "ryanschulken/rna-3d-folding-schulken", "kernel_id": "113425518"}, {"ref": "michellezhuangmz/notebook1b33e2c1c6", "kernel_id": "113072513"}, {"ref": "mellamoellen/test-2", "kernel_id": "113421711"}, {"ref": "nicholassurguladze/nsurguladze-from-rna3d-protenix-biopython-fix", "kernel_id": "113243106"}, {"ref": "liamohara99/rna-protenix-tbm-v1-liam", "kernel_id": "113428017"}, {"ref": "yanzhuang33/notebook-test", "kernel_id": "113427553"}, {"ref": "hbzkkk/notebook02437731cd", "kernel_id": "113398271"}, {"ref": "stefanstefanov/srna3d2-rnapro-protenix-tbm", "kernel_id": "114609521"}, {"ref": "guojun1/rna-3d-structure-prediction", "kernel_id": "114233237"}, {"ref": "gabalz/stanford-rna-3d-folding-part-2-8th-place", "kernel_id": "114310300"}, {"ref": "stefanstefanov/srna3d2-create-tmscore-dataset", "kernel_id": "115059049"}, {"ref": "stefanstefanov/srna3d2-train-tmscore-model", "kernel_id": "115060719"}, {"ref": "yutaroito/1st-place-solution-cleaned-kernel", "kernel_id": "115175307"}, {"ref": "harshitsahu01/rna-3d-protenix-biopython-fix", "kernel_id": "115259580"}, {"ref": "gapchenko/rna3d2-cross-attn-reranker", "kernel_id": "116425224"}, {"ref": "t8101349/boltz2-tbm-rnapro-drfold2-protenix", "kernel_id": "118743984"}, {"ref": "t8101349/stanford-rna-3d-folding", "kernel_id": "118067059"}, {"ref": "yasunorim/rna3d-protenix-tbm-repro", "kernel_id": "122962893"}, {"ref": "yasunorim/rna3d-tbm-ensemble-repro", "kernel_id": "122966715"}, {"ref": "yasunorim/rna3d-seqtbm", "kernel_id": "122972189"}, {"ref": "daltongabrielomondi/protenix-tbm", "kernel_id": "125574919"}, {"ref": "phanthianh123/3d-arn", "kernel_id": "132678472"}, {"ref": "minhduy1222/3d-arn", "kernel_id": "133179417"}]}
{"competition_id": "118786", "kernels": []}
{"competition_id": "118787", "kernels": []}
{"competition_id": "118788", "kernels": []}
{"competition_id": "118789", "kernels": []}
{"competition_id": "118810", "kernels": [{"ref": "arnavjoshi27/2-bugs-1-code-task-2", "kernel_id": "97255414"}]}
{"competition_id": "118822", "kernels": []}
{"competition_id": "118824", "kernels": []}
{"competition_id": "118825", "kernels": []}
{"competition_id": "118826", "kernels": []}
{"competition_id": "118829", "kernels": [{"ref": "srishaatvikaselvam/r-starter-notebook", "kernel_id": "96944957"}, {"ref": "srishaatvikaselvam/python-starter-notebook", "kernel_id": "96947455"}, {"ref": "dishitaashrivastava/2-srd-162-180", "kernel_id": "97028452"}, {"ref": "vasishtm/1-nks-032-106-610-676", "kernel_id": "97026863"}, {"ref": "abhishekhiremath701/python-starter", "kernel_id": "97030928"}, {"ref": "samism/python-starter", "kernel_id": "97029697"}, {"ref": "manvithnayak/2-spj-318-330-333-382", "kernel_id": "97026918"}, {"ref": "sharathgowdagr/notebook99dbc1e10f", "kernel_id": "97026440"}, {"ref": "sharathgowdagr/2-spj-347-363-391-823", "kernel_id": "97032499"}, {"ref": "krishalhriday/2-spj-273-284-285-288", "kernel_id": "97112082"}, {"ref": "vlakshitha/2-spj-222-262-662-665", "kernel_id": "97292342"}, {"ref": "harshamadevhegde/2-srd-212-207", "kernel_id": "97032463"}, {"ref": "palakvijay/1-jr-416-308-567-582", "kernel_id": "97029070"}, {"ref": "likhithchandra/2-spj-366-369-261-ipynb", "kernel_id": "97292730"}, {"ref": "tejalekkalapudi/2-spj-293-295-297-303", "kernel_id": "97279457"}, {"ref": "prathamagowds/version1", "kernel_id": "97126848"}, {"ref": "pes2ug24cs811/2-spj-809-811", "kernel_id": "97028039"}, {"ref": "adityasharma76452/python-starter", "kernel_id": "97031768"}]}
{"competition_id": "118841", "kernels": []}
{"competition_id": "118873", "kernels": [{"ref": "nnsssadithya/cifar10-challenge", "kernel_id": "105682788"}]}
{"competition_id": "118881", "kernels": []}
{"competition_id": "118888", "kernels": []}
{"competition_id": "118898", "kernels": []}
{"competition_id": "118915", "kernels": []}
{"competition_id": "118923", "kernels": []}
{"competition_id": "118938", "kernels": []}
{"competition_id": "118955", "kernels": []}
{"competition_id": "119008", "kernels": []}
{"competition_id": "119025", "kernels": [{"ref": "linogerlach/jet-tag-utils", "kernel_id": "96891563"}, {"ref": "linogerlach/jet-tag-plotting-utils", "kernel_id": "96891632"}, {"ref": "linogerlach/baseline-dnn", "kernel_id": "96917194"}, {"ref": "linogerlach/basline-bdt", "kernel_id": "96917774"}, {"ref": "linogerlach/baseline-cnn", "kernel_id": "96917903"}, {"ref": "saiganeshkemburu/2-neural-net-b7d3a3", "kernel_id": "96908268"}, {"ref": "linogerlach/baseline-bdt", "kernel_id": "117992944"}]}
{"competition_id": "119030", "kernels": []}
{"competition_id": "119032", "kernels": []}
{"competition_id": "119033", "kernels": []}
{"competition_id": "119034", "kernels": [{"ref": "vladimirannenkovml/mobile-customer-retention", "kernel_id": "96991135"}]}
{"competition_id": "119049", "kernels": [{"ref": "sabriabdel/startnotebook", "kernel_id": "97079395"}]}
{"competition_id": "119050", "kernels": []}
{"competition_id": "119051", "kernels": [{"ref": "divyanshnegi2735/getstarted", "kernel_id": "98421639"}]}
{"competition_id": "119082", "kernels": [{"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "justinnaicker/playground-s6e1-exam-scores", "kernel_id": "104933997"}, {"ref": "rafanikitas/student-scores-eda-optuna-tuning-ensemble", "kernel_id": "105976103"}, {"ref": "cv13j0/zero-to-hero-student-score-predictions", "kernel_id": "105993493"}, {"ref": "yekenot/ps-s6-e1-trompt-pytorch-frame", "kernel_id": "105954251"}, {"ref": "include4eto/baseline-eda-xgb-with-cv-training-loop", "kernel_id": "105966263"}, {"ref": "rahulbana/eda-modeling-predicting-student-test-score", "kernel_id": "105950602"}, {"ref": "mdmub0587/simple-regression", "kernel_id": "105958573"}, {"ref": "allhail2caomei/student-test-score-analysis", "kernel_id": "105983166"}, {"ref": "daniilstyrov/s6e1-lgbm", "kernel_id": "105959451"}, {"ref": "rishabhbhartiya/psts-2026", "kernel_id": "105976453"}, {"ref": "erigor/s6e1-test-scores-using-r", "kernel_id": "105982062"}, {"ref": "ravi20076/playgrounds6e1-public-imports-v1", "kernel_id": "105949982"}, {"ref": "ravi20076/playgrounds6e1-public-baseline-v1", "kernel_id": "105949907"}, {"ref": "ravi20076/playgrounds6e1-public-baseline-v2", "kernel_id": "105953857"}, {"ref": "omidbaghchehsaraei/xgb-predicting-student-scores-cv-8-64161", "kernel_id": "105975629"}, {"ref": "omidbaghchehsaraei/tabm-predicting-student-test-scores-cv-8-61131", "kernel_id": "105946240"}, {"ref": "rv1922/predict-student-score-lgbm", "kernel_id": "105970073"}, {"ref": "rv1922/predict-student-score-eda", "kernel_id": "105949239"}, {"ref": "rohanrathod02/predicting-student-score-eda-adv-fe-ensemble", "kernel_id": "105986584"}, {"ref": "mohamedwaleed13/s6e1-student-exam-score-prediction", "kernel_id": "105990174"}, {"ref": "rohansardar/8-66-predict-student-scores-using-xgb", "kernel_id": "105959002"}, {"ref": "ameniayedi/s6e1-predicting-student-test-scores", "kernel_id": "105980192"}, {"ref": "mariusborel/lgbm-predicted-test-scores", "kernel_id": "105939057"}, {"ref": "tungnhitran/ps6e1-xgboost-lightgbm-catboost", "kernel_id": "105964018"}, {"ref": "khoatran311/quick-eda-and-linear-model-analysis", "kernel_id": "105944932"}, {"ref": "kaibaur/xgboost-baseline-predicting-student-test-scores", "kernel_id": "105953364"}, {"ref": "marylka/lr-rf-and-lightgbm-for-score-prediction", "kernel_id": "105964354"}, {"ref": "chrisk321/s6e1-predicting-student-test-scores", "kernel_id": "105982578"}, {"ref": "atharva0577/s6e1-fastai-xgb", "kernel_id": "105945321"}, {"ref": "vishnupriyagarige/predicting-student-test-scores", "kernel_id": "105939650"}, {"ref": "amittalmale/student-score-prediction-lightgbm-s6e1", "kernel_id": "105954385"}, {"ref": "chovyxu/playgrounds2026-ep1", "kernel_id": "105944823"}, {"ref": "darkdevil18/8-71759-s6e1-baseline", "kernel_id": "105943447"}, {"ref": "subarnasaikia/s6e1-predicting-student-test-scores", "kernel_id": "105976456"}, {"ref": "pratapkr/feature-engineering-boostsssss", "kernel_id": "105960082"}, {"ref": "evgendvorkin/xg-lg-cb-steking-8-69124", "kernel_id": "105970942"}, {"ref": "robertpatchin/s6e1-eda-passing-the-test", "kernel_id": "105944277"}, {"ref": "sigmoidz/student-scores-regression", "kernel_id": "105958988"}, {"ref": "sdeogade/student-test-scores", "kernel_id": "105956772"}, {"ref": "sudhanshu3112/smart-features-lightgbm-tps", "kernel_id": "105967355"}, {"ref": "rishabhkannaujiya/s6e1-advanced-eda-xgboost-competition-starter", "kernel_id": "105974651"}, {"ref": "ashishk1331/predicting-student-test-scores", "kernel_id": "105953096"}, {"ref": "abhishekgodara/ps-s6e1-xgb-lgb-catboost", "kernel_id": "105981513"}, {"ref": "abhishekgodara/s6e1-first-notebook-happy-new-year-guys", "kernel_id": "105938986"}, {"ref": "haha750/s6e1-learned-lr-formula-xgb", "kernel_id": "105976775"}, {"ref": "princekhunt19/predict-student-test-score-explain-eda-model", "kernel_id": "105946119"}, {"ref": "aditi2005/rmse-ensemble-xgb-lgb-cb", "kernel_id": "105983546"}, {"ref": "gourabr0y555/s6e1-eda-xgboosting-gridsearch", "kernel_id": "105950300"}, {"ref": "kaushikjonas/predicting-exam-scores", "kernel_id": "105953907"}, {"ref": "kaushikjonas/final-result", "kernel_id": "105958844"}, {"ref": "kaushikjonas/final-one", "kernel_id": "105956665"}, {"ref": "lakhindarpal/ps-s6e1-optuna-hypertuned-lightgbm-dart", "kernel_id": "105980129"}, {"ref": "lakhindarpal/ps-s6e1-optuna-hyperparameter-tuned-lightgbm", "kernel_id": "105971917"}, {"ref": "lakhindarpal/predicting-student-test-scores-eda-fe-stacking", "kernel_id": "105954941"}, {"ref": "lakhindarpal/ps-s6e1-optuna-hyperparameter-tuned-catboost", "kernel_id": "105998089"}, {"ref": "harshgupta4444/student-scores-eda-featureengineering-xgboost", "kernel_id": "105988749"}, {"ref": "koushikkumardinda/predicting-student-test-scores", "kernel_id": "105942920"}, {"ref": "cartoonistbeard/ps6e1-eda-single-xgb-lb-8-64434", "kernel_id": "105961678"}, {"ref": "dacxj0/s6e1-predicting-student-test-scores-stack", "kernel_id": "105942581"}, {"ref": "avish006/ps6e1-simple-lgbm-baseline", "kernel_id": "105951404"}, {"ref": "labibshahriar/ps-s6e1-all-eda", "kernel_id": "105975060"}, {"ref": "rohandsouza003/ridgecheck-lightbgm", "kernel_id": "105951950"}, {"ref": "harrykesh/new-year-new-eda", "kernel_id": "105952120"}, {"ref": "drphilipfowler/s6e1-ensemble-blend-w-greedy-model-selection", "kernel_id": "105940280"}, {"ref": "llkh0a/ps-s6e1-eda-xgb-catboost-lgbm", "kernel_id": "105945401"}, {"ref": "kammarishivashankarr/s6e1-predicting-student-test-scores", "kernel_id": "105972626"}, {"ref": "jiaoyouzhang/student-scores-from-lightgbm-to-senet", "kernel_id": "105939779"}, {"ref": "anuragyadav156/predicting-student-test-scores-beginner-friendly", "kernel_id": "105956143"}, {"ref": "nikitamanaenkov/student-scores-tabnet-dae", "kernel_id": "105968216"}, {"ref": "adilshamim8/predicting-student-test-scores-101", "kernel_id": "105964853"}, {"ref": "patrykszcz/baseline-s6e1", "kernel_id": "105963195"}, {"ref": "patrykszcz/fork-of-baseline-s6e1", "kernel_id": "105972195"}, {"ref": "harivpatel/student-test-score-prediction", "kernel_id": "105952719"}, {"ref": "rattans/exploring-test-scores-ps-s6e1", "kernel_id": "105942807"}, {"ref": "iwayansatya/s6e1-first-step-to-submit-for-newbie", "kernel_id": "105950181"}, {"ref": "mahmoudehab6677/student-test-scores-predictions", "kernel_id": "105972151"}, {"ref": "alperenaslann/s6e1-eda-happy-new-year", "kernel_id": "105960261"}, {"ref": "amritanshukush/student-test-scores-eda-lightgbm-s6e1", "kernel_id": "105945673"}, {"ref": "skarin/principled-xgboost-with-monotonic-constraints", "kernel_id": "105970667"}, {"ref": "mdevian/ps-s6e1-clean-strong-baseline-ridge-xgb-fe", "kernel_id": "105973497"}, {"ref": "iliaselamrani54/eda-key-insights-feature-selection-ps-s6e1", "kernel_id": "105939236"}, {"ref": "atifkhan12/student-performance-eda-prediction-pipeline", "kernel_id": "105998607"}, {"ref": "vedikasd/starter-notebook-student-exam-score-prediction", "kernel_id": "105981837"}, {"ref": "gustavohuss/s6e1-advanced-eda-for-modeling-insights", "kernel_id": "105939171"}, {"ref": "avikdas567/predicting-student-test-scores-catboostregressor", "kernel_id": "105980448"}, {"ref": "johnkihoro/student-test-scores-predictions-with-keras", "kernel_id": "105832903"}, {"ref": "maheshmunnuru/reproducible-eda-ipynb", "kernel_id": "105914740"}, {"ref": "maheshmunnuru/test-score-baseline-ipynb", "kernel_id": "105953423"}, {"ref": "kospintr/students-xgb-lightgbm-catb-baseline", "kernel_id": "105958108"}, {"ref": "khinlaykywe/predicting-student-scores", "kernel_id": "105990884"}, {"ref": "lopure/ps-s6e1-eda-xgb-last-competition-starter-as-it-is", "kernel_id": "105940314"}, {"ref": "niveshkumardhirwal/s6e1kaggleplayground-eda-xgb-lgb-tabm-public", "kernel_id": "105968244"}, {"ref": "ianteigen/s6e1-eda-happy-new-years", "kernel_id": "105938940"}, {"ref": "emircansoftware/exam-scores-tutorial-model-selection-kfold", "kernel_id": "105960813"}, {"ref": "amanvishwakarma01/s6e1-magic-formula-triple-gbdt-greedy-hill-c", "kernel_id": "105952451"}, {"ref": "amanvishwakarma01/ps6e1-extensive-eda-xgboost-baseline-shap", "kernel_id": "105968892"}, {"ref": "nina2025/ps-s6e1-all-variants-uniqueness", "kernel_id": "105963741"}, {"ref": "nina2025/ps-s6e1-hb2g", "kernel_id": "105989970"}, {"ref": "nina2025/ps-s6e1-hb1g", "kernel_id": "105943347"}, {"ref": "mariamelghareeb/students-lightgbm-xgboost-ann-hill-climbing-sa", "kernel_id": "105983158"}, {"ref": "murtazaabdullah2010/ps-s6-e1-ensemble", "kernel_id": "105948056"}, {"ref": "prtkpiyush/target-encoding-optuna-8-61372-hinglish", "kernel_id": "105982979"}, {"ref": "nishu65/predict-student-score", "kernel_id": "105962765"}, {"ref": "nishu65/season-6-e1-v2", "kernel_id": "105989920"}, {"ref": "krishpansara/student-test-scores-eda-lgbmregressor", "kernel_id": "105944515"}, {"ref": "pythoxb/s6e1-eda", "kernel_id": "105955830"}, {"ref": "hermitsays/exam-score-catboost-cv-analysis", "kernel_id": "105948527"}, {"ref": "harshitashibe24/leakage-safe-lgbm-pipeline-with-cv-gains", "kernel_id": "105986444"}, {"ref": "utaazu/s6e1-lgbm-10f-linear-comp-rank-encoding", "kernel_id": "105975079"}, {"ref": "lalit7881/predicting-student-test-outcomes", "kernel_id": "105951930"}, {"ref": "imrancoder786/eda-feature-engineering-lightgbm-cv-8-79", "kernel_id": "105952388"}, {"ref": "hmnshudhmn24/predicting-student-test-scores", "kernel_id": "105961100"}, {"ref": "user412/f-engineering-lightgbm-r2-score-80", "kernel_id": "105947924"}, {"ref": "kanwalkamlesh/predictstudentscores", "kernel_id": "105995445"}, {"ref": "abhinav0923/predicting-student-scores-xgb-score-8-72434", "kernel_id": "105998880"}, {"ref": "rubel01/predicting-student-test-scores-score-8-78213", "kernel_id": "105945138"}, {"ref": "oosmansadiq/student-test-scores", "kernel_id": "105943210"}, {"ref": "aiswarjya/s6e1-student-test-score-prediction-lightgbm", "kernel_id": "105961306"}, {"ref": "jaswinreddym/ps6e1-lr-xgb-optuna", "kernel_id": "105948781"}, {"ref": "jaswinreddym/test-score-prediction-dnn", "kernel_id": "105945559"}, {"ref": "divyanshuuucoder/notebookb533e41fa5", "kernel_id": "105948832"}, {"ref": "pinipanda/predicting-student-score-by-ann", "kernel_id": "105963769"}, {"ref": "datasciencegrad/s6e1-student-score-prediction-detail-eda", "kernel_id": "105943276"}, {"ref": "datasciencegrad/s6e1-baseline-lgbm-lb-8-71507", "kernel_id": "105942540"}, {"ref": "adaubas/pss6e01-robust-blend-from-cv-8-5831-to-8-5829", "kernel_id": "106738111"}, {"ref": "adaubas/pss6e01-linearregression-feature-selection", "kernel_id": "106101891"}, {"ref": "onodera/s6e01-gpu-accelerated-gbdt-benchmark", "kernel_id": "106312415"}, {"ref": "aphoristicartist/ps-s6e1-complete-ml-pipeline-ridge-lgbm-xgb", "kernel_id": "106271250"}, {"ref": "aphoristicartist/ps-s6e1-learned-formula-approach-top-solution", "kernel_id": "106099922"}, {"ref": "aphoristicartist/ps-s6e1-advanced-v2-target-encoding", "kernel_id": "106103791"}, {"ref": "aphoristicartist/ps-s6e1-learned-formula-lgbm-xgb", "kernel_id": "106118488"}, {"ref": "aphoristicartist/ps-s6e1-ridge-meta-xgboost-v3", "kernel_id": "106573153"}, {"ref": "aphoristicartist/ps-s6e1-ridge-meta-xgboost-v2", "kernel_id": "106421872"}, {"ref": "aphoristicartist/ps-s6e1-ridge-meta-feature-xgboost-cv-8-61", "kernel_id": "106396063"}, {"ref": "mathieum/python-2-0", "kernel_id": "106374737"}, {"ref": "abisheksrivastav/linear-residual-learning-lightgbm", "kernel_id": "106821589"}, {"ref": "sangeetha007/trial-4-linear-regression-score-9-72", "kernel_id": "106059614"}, {"ref": "rajasaravanan/predicting-student-test-scores", "kernel_id": "106284914"}, {"ref": "lucabasa/s06e01-student-scores", "kernel_id": "106852508"}, {"ref": "docxian/ps-s6-e01-student-test-scores", "kernel_id": "106207152"}, {"ref": "include4eto/pseudo-labels-single-lr", "kernel_id": "106749456"}, {"ref": "include4eto/pseudo-labels-hillclimbers", "kernel_id": "106730078"}, {"ref": "include4eto/tabm-nested-lr-stratified-k-fold", "kernel_id": "106580948"}, {"ref": "include4eto/xgb-nested-lr-stratified-k-fold", "kernel_id": "106392983"}, {"ref": "include4eto/learned-lr-formula-xgb", "kernel_id": "106020297"}, {"ref": "include4eto/tabm-more-features-cv-8-61131", "kernel_id": "106257831"}, {"ref": "include4eto/min-max-gating-classifier-ensemble", "kernel_id": "106876407"}, {"ref": "sakuno/student-test-scores-eda", "kernel_id": "106331486"}, {"ref": "sakuno/student-scores-eda-lightgbm", "kernel_id": "106229045"}, {"ref": "mmalam/indifferent-models-with-k-fold", "kernel_id": "106477943"}, {"ref": "mmalam/eda-scatter-plots", "kernel_id": "106894224"}, {"ref": "cdeotte/basic-eda-lots-of-linear-relationships", "kernel_id": "106163333"}, {"ref": "cdeotte/xgb-w-tabm-pseudo-labels-cv-8-60", "kernel_id": "106581347"}, {"ref": "ahmedabdulhamid/7adid-elsafina-ml-eda-1", "kernel_id": "106975258"}, {"ref": "priyanshutuli/exam-scores-prediction", "kernel_id": "106380604"}, {"ref": "sujataguha/student-test-score-prediction", "kernel_id": "106782434"}, {"ref": "alperr/predicting-test-score-transformer", "kernel_id": "106910297"}, {"ref": "alperr/predicting-student-test-score-cat-boost", "kernel_id": "106812085"}, {"ref": "makrrc/8-78784-v5-s60-predicting-student-test-scores", "kernel_id": "106441046"}, {"ref": "wesleyhuan/baseline-xgb-of-season-6-episode-1", "kernel_id": "106081109"}, {"ref": "wesleyhuan/beginer-level-eda-season-6-episode-1", "kernel_id": "106069217"}, {"ref": "parikshitsen/pytorch", "kernel_id": "106222884"}, {"ref": "danigarci1/s6e1-eda-optuna-tuning-shap-model-insights", "kernel_id": "106081153"}, {"ref": "goconn/student-test-results", "kernel_id": "106340328"}, {"ref": "maiernator/xgb-with-ridge-preds", "kernel_id": "106571688"}, {"ref": "maiernator/pseudo-labels-hillclimbers", "kernel_id": "106635525"}, {"ref": "stpeteishii/test-score-keras-mlp-regressor-w-tpu", "kernel_id": "106685398"}, {"ref": "stpeteishii/test-scores-lgbmregressor", "kernel_id": "106571315"}, {"ref": "stpeteishii/test-scores-randomforestregressor", "kernel_id": "106363301"}, {"ref": "stpeteishii/test-score-mlp-regressor-lightning", "kernel_id": "106185143"}, {"ref": "stpeteishii/test-score-keras-mlp-regressor-w-optuna", "kernel_id": "106304567"}, {"ref": "stpeteishii/autogluon-medium-baseline", "kernel_id": "106066734"}, {"ref": "stpeteishii/lightweight-ridge-baseline", "kernel_id": "106025783"}, {"ref": "ferariz/clean-baselines-for-student-test-scores", "kernel_id": "106070111"}, {"ref": "mpwolke/goose-ds-academy-pass-fail", "kernel_id": "106607966"}, {"ref": "brysonje/catboost-cross-val-10folds", "kernel_id": "106308103"}, {"ref": "donmarch14/tabm-withfe", "kernel_id": "106212074"}, {"ref": "franro/what-really-drives-exam-scores", "kernel_id": "106782210"}, {"ref": "kumarkatariya/boosting-over-residuals-lr-lgbm-simple", "kernel_id": "106313105"}, {"ref": "mdmub0587/all-ml-model-performance-with-direct-data", "kernel_id": "106193588"}, {"ref": "kmmmvs/fork-of-6-1-ensemble", "kernel_id": "106160626"}, {"ref": "kmmmvs/6-1-ensemble", "kernel_id": "106084573"}, {"ref": "mysha1rysh/predict-student-test-scores-pytorch-mlp", "kernel_id": "106493645"}, {"ref": "mysha1rysh/eda-predicting-student-test-scores", "kernel_id": "106379898"}, {"ref": "jeanpooljinezsorroza/student-test-scores-p1", "kernel_id": "106238173"}, {"ref": "shitaoliao/xgboost-prediction", "kernel_id": "106990003"}, {"ref": "swas06/predictstudent-linearregression", "kernel_id": "106307931"}, {"ref": "swas06/predictstudent-hyperparametertuning", "kernel_id": "106170786"}, {"ref": "swas06/studenttestscore-eda", "kernel_id": "106022357"}, {"ref": "swas06/predictstudent-baselinemodel", "kernel_id": "106095507"}, {"ref": "iamramank2/predicting-student-test-scores-eda-lightgbm", "kernel_id": "106451224"}, {"ref": "aarifansari/predicting-student-text-scores", "kernel_id": "106107569"}, {"ref": "josephnehrenz/s6e1-predicting-test-scores-with-catboost", "kernel_id": "106002412"}, {"ref": "kaydenschwartz/kaggle-competition-s6e1-student-test-scores", "kernel_id": "106532042"}, {"ref": "abdulkadirsyahab/playground-series-season-6-episode-01-pf", "kernel_id": "106560167"}, {"ref": "abdulkadirsyahab/playground-series-s6-e01-pf-input", "kernel_id": "106614563"}, {"ref": "sasakitetsuya/sleep-only-vs-full-feature-cv-comparison", "kernel_id": "106180968"}, {"ref": "samithsachidanandan/ps-s6e1-ridge-xgb", "kernel_id": "106152424"}, {"ref": "samithsachidanandan/ps-s6e1-ridge-xgb-lgb-fe", "kernel_id": "106069354"}, {"ref": "samithsachidanandan/student-test-scores-xgb-lgbm-cat-ensemble", "kernel_id": "106020688"}, {"ref": "samithsachidanandan/cat-w-tabm-pseudo-labels-fe-lb-8-62", "kernel_id": "106616081"}, {"ref": "jimgruman/student-scores-in-rstats", "kernel_id": "106166655"}, {"ref": "lorenzoarcioni/student-test-scores-complete-eda", "kernel_id": "106304057"}, {"ref": "prasadbhogle/student-score-predictions", "kernel_id": "106777929"}, {"ref": "jocelyndumlao/student-performance-prediction-xgboost-ridge", "kernel_id": "106178238"}, {"ref": "erigor/s6e1-predict-test-score", "kernel_id": "106124264"}, {"ref": "leonchani/01-only-eda-predicting-student-test-scores", "kernel_id": "106000337"}, {"ref": "shubham1111/why-did-the-model-give-me-a-bad-score", "kernel_id": "106139320"}, {"ref": "act18l/s6e1-single-xgb-add-categorymean", "kernel_id": "106126216"}, {"ref": "act18l/hill-climbing-for-ensembling", "kernel_id": "106220144"}, {"ref": "ravi20076/playgrounds6e1-public-baseline-v3", "kernel_id": "106028710"}, {"ref": "ravi20076/playgrounds6e1-public-baseline-v4", "kernel_id": "106041899"}, {"ref": "masanakashima/gpu-ensemble-with-education-experts-insights", "kernel_id": "106384323"}, {"ref": "anwarabualhussien/lgbm-xgb-residual-nnls-student-performance-s", "kernel_id": "106137276"}, {"ref": "omidbaghchehsaraei/resnet-predicting-student-test-score-cv-8-63409", "kernel_id": "106126772"}, {"ref": "omidbaghchehsaraei/ens-ft-transformer-tabm-autogluon-xgboost-resnet", "kernel_id": "106116108"}, {"ref": "omidbaghchehsaraei/autogluon-predicting-student-scores-lb-8-5767", "kernel_id": "106067684"}, {"ref": "omidbaghchehsaraei/ft-transformer-predicting-student-score-lb-8-56872", "kernel_id": "106159060"}, {"ref": "hyzentech/s6e1-residual-boost-strategy", "kernel_id": "106759933"}, {"ref": "hyzentech/s6e1-top-3-blend-v2", "kernel_id": "106725703"}, {"ref": "hyzentech/s6e1-top-3-blend-strategy", "kernel_id": "106725405"}, {"ref": "hyzentech/s6e1-blend-top-public-notebooks-lb-8-54", "kernel_id": "106386070"}, {"ref": "emanafi/predicting-student-test-scores", "kernel_id": "106714008"}, {"ref": "itsyoursumit/predicting-student-test-scores-subm", "kernel_id": "106017070"}, {"ref": "thuandao/predicting-student-test-scores", "kernel_id": "106014050"}, {"ref": "hafidabelayd/kaggle-playground-s6e1-student-exam-score-predict", "kernel_id": "106585006"}, {"ref": "rohansardar/predicting-student-test-scores-using-autogluon", "kernel_id": "106103667"}, {"ref": "rohansardar/s6e1-pipeline-stackingregressor-elasticnet-fe", "kernel_id": "106503929"}, {"ref": "mariusborel/predicted-test-scores-catboost", "kernel_id": "106385816"}, {"ref": "tungnhitran/s6e1-tabnet-resnet", "kernel_id": "106093723"}, {"ref": "kamaljit/test-score-prediction", "kernel_id": "106098988"}, {"ref": "santyagoamaya/student-score", "kernel_id": "106473142"}, {"ref": "ahmedashrafahmed/student-test-score-eda-models-power-bi", "kernel_id": "106670066"}, {"ref": "rahul416/test-scores", "kernel_id": "106352370"}, {"ref": "harharharhar/s06e01-test-score-xgbregressor", "kernel_id": "106370061"}, {"ref": "abhinavsharma0706/test-scores-02", "kernel_id": "106455175"}, {"ref": "abhinavsharma0706/test-scores-01", "kernel_id": "106292895"}, {"ref": "sumit08/predicting-student-test-scores-2", "kernel_id": "106349044"}, {"ref": "sumit08/predicting-student-test-scores", "kernel_id": "106008006"}, {"ref": "likithagedipudi/student-score-prediction-xg-boost", "kernel_id": "106054551"}, {"ref": "adityapuranik24/studenttestscore", "kernel_id": "106616856"}, {"ref": "vh10935cse20/test-scores-lgbm", "kernel_id": "106026936"}, {"ref": "vh10935cse20/exam-scores-catboost", "kernel_id": "106096917"}, {"ref": "mrunalnshah/score-8-87116-predicting-student-test-scores", "kernel_id": "106377568"}, {"ref": "vanpatangan/student-test-scores-prediction", "kernel_id": "106298384"}, {"ref": "ayushmorbar/s6e1-ensemble-lgbm-xgb-cat", "kernel_id": "106597284"}, {"ref": "lishachaudhari/linearreg-lightgbm-ridge-metamodel", "kernel_id": "106071075"}, {"ref": "les1781/predicting-student-test-scores-s6e01", "kernel_id": "106916895"}, {"ref": "jagrutiyuvrajdhangar/student-performace", "kernel_id": "106797515"}, {"ref": "yunsuxiaozi/pss6e1-linear-starter-cv-8-97", "kernel_id": "106017791"}, {"ref": "kazoric/predicting-student-test-scores-modeling", "kernel_id": "106484879"}, {"ref": "kazoric/predicting-student-test-scores-eda", "kernel_id": "106484164"}, {"ref": "rabihalahmadieh/notebook9bf6ae5682", "kernel_id": "106097766"}, {"ref": "cosheimil/all-in-ps-s6e1", "kernel_id": "106140602"}, {"ref": "juleskantzer/predicting-student-test-scores-catboost-optuna", "kernel_id": "106041794"}, {"ref": "vladbujoreanu/student-test-score-predictions-s6e1-top-27", "kernel_id": "106497889"}, {"ref": "omarmamdooh/student-test-score-prediction", "kernel_id": "106014560"}, {"ref": "dolevevenhaim/playground-predicting-student-test-scores", "kernel_id": "106081753"}, {"ref": "ahmedelsayedtaha/ml-model-dashboard-deployment", "kernel_id": "106601968"}, {"ref": "meermuhammad/predicting-exam-score-lgb-cat", "kernel_id": "106350147"}, {"ref": "whitexxx/s6e01-blend-ridgecv-xgb-lgbm-cat", "kernel_id": "106258192"}, {"ref": "francescoalbanesephd/s6e01-student-scores-v1-xgb-lgbm-cb", "kernel_id": "106098187"}, {"ref": "vishalsah12/student-score-prediction", "kernel_id": "106487421"}, {"ref": "abhishekrnjn/predicting-student-test-scores-eda", "kernel_id": "106739406"}, {"ref": "vivek7557/student-score-prediction-eda-first-run", "kernel_id": "106451436"}, {"ref": "vivek7557/predicting-student-test-score", "kernel_id": "106790268"}, {"ref": "shadesh/evaluates-rmse", "kernel_id": "106631126"}, {"ref": "aayushiweb/students-score", "kernel_id": "106078231"}, {"ref": "alipakzad/ensemble-lgbm-xgb-cat-rf-data-visualization", "kernel_id": "106103098"}, {"ref": "davidpupaza/ps-s6e1-predicting-student-test-scores", "kernel_id": "106559960"}, {"ref": "marknghk/eda-student-test-scores", "kernel_id": "106400546"}, {"ref": "marknghk/student-model-2", "kernel_id": "106390644"}, {"ref": "marknghk/student-model-5-ydf", "kernel_id": "106597563"}, {"ref": "khanzala/score-prediction", "kernel_id": "106313277"}, {"ref": "amri11/predicting-student-test-score", "kernel_id": "106181531"}, {"ref": "younusmohamed/73-00-eda-is-all-you-need-test-scores", "kernel_id": "106199016"}, {"ref": "younusmohamed/73-01-multi-model-benchmark-test-scores", "kernel_id": "106451409"}, {"ref": "mikhailnaumov/student-test-scores-bayesian-ensemble", "kernel_id": "106020242"}, {"ref": "ibratusmonov/model-check-with-statsmodel", "kernel_id": "106295873"}, {"ref": "ibratusmonov/exam-score-v1", "kernel_id": "106639101"}, {"ref": "vanyakorol/student-test-scores-pure-eda", "kernel_id": "106826089"}, {"ref": "vanyakorol/student-test-score-eda-preprocessing-modeling", "kernel_id": "106924114"}, {"ref": "kingkcabir/test-scores", "kernel_id": "106206191"}, {"ref": "anthonytherrien/ps-s5e13-blend", "kernel_id": "106168335"}, {"ref": "ashwinmahawar/studenttestscore-prediction-optuna-lightgbm-8-732", "kernel_id": "106006831"}, {"ref": "faizanshaikh20/top-ensemble-solution-catboost-lightgbm-xgb", "kernel_id": "106716773"}, {"ref": "vaibhavdlights/score-8-69-plain-stacking-ensemble", "kernel_id": "106333949"}, {"ref": "vaibhavdlights/model-comparison-why-bagging-rf-fails", "kernel_id": "106340447"}, {"ref": "vaibhavdlights/eda-student-scores", "kernel_id": "106176026"}, {"ref": "vaibhavdlights/thumb-rule-for-all-playground-beginner", "kernel_id": "106258920"}, {"ref": "vaibhavdlights/score-8-66-ridgecv-xgboost-modified-stacking", "kernel_id": "106396393"}, {"ref": "carlospereavega/s6e1-test-scores-eda-ensemble", "kernel_id": "106868892"}, {"ref": "tharunpraveenk/student-score-prediction", "kernel_id": "106802118"}, {"ref": "mehmetsel/simple-pipeline", "kernel_id": "106454918"}, {"ref": "mehmetsel/simple-feature-engineering-to-extract-more-feature", "kernel_id": "106551236"}, {"ref": "westoon/pg-6-1-eda-student-test-scores", "kernel_id": "106820113"}, {"ref": "danishmubashar/test-score-eda-statistical-tests", "kernel_id": "106640723"}, {"ref": "lokesh00002/xgboost-student-test-score-prediction", "kernel_id": "106293374"}, {"ref": "mohameddrabo/predicting-student-test-scores", "kernel_id": "106779814"}, {"ref": "abhishekgodara/ps-s6e1-score-prediction-score-8-54511", "kernel_id": "106047698"}, {"ref": "fsb2210/s6e1-xgboost", "kernel_id": "106299049"}, {"ref": "tomasa2/4-models-xgb-lgb-cat-ridge", "kernel_id": "106091069"}, {"ref": "mastershomya/ps6ep1-xgboost-v1", "kernel_id": "106037654"}, {"ref": "umutcanetin/s6e1-test-scores-comprehensive-eda", "kernel_id": "106042848"}, {"ref": "umutcanetin/s6e1-eda-3-model-ensemble-xgb-cat-lgbm", "kernel_id": "106792285"}, {"ref": "sawdi777/student-test-score-prediction-methods-comparison", "kernel_id": "106198822"}, {"ref": "aditi2005/xgb-score-predictions", "kernel_id": "106082010"}, {"ref": "gourabr0y555/s6e1-lightgbm-optuna", "kernel_id": "106499496"}, {"ref": "gourabr0y555/s6e1-voting-classifiers", "kernel_id": "106152284"}, {"ref": "gourabr0y555/s6e1-beginner-s-eda-pca-lr-grid-search", "kernel_id": "106072335"}, {"ref": "rbv0416/test-score-pred-using-lightgbm", "kernel_id": "106023145"}, {"ref": "kaushikjonas/exam-score01", "kernel_id": "106014625"}, {"ref": "lakhindarpal/ps6e01-perpetualbooster", "kernel_id": "106216313"}, {"ref": "lakhindarpal/ps6e01-pytabkit-nn-regressor", "kernel_id": "106160721"}, {"ref": "lakhindarpal/ps6e01-autogluon-tabular-regression", "kernel_id": "106013238"}, {"ref": "lakhindarpal/ps6e01-h2o-automl-regression", "kernel_id": "106027757"}, {"ref": "lakhindarpal/ps6e01-flaml-automl-regression", "kernel_id": "106034936"}, {"ref": "keshavchauhan56/test-score-prediction-rmsq", "kernel_id": "106778248"}, {"ref": "kirikiti/mixture-of-experts-moe-pytorch-e6s01", "kernel_id": "106204468"}, {"ref": "kirikiti/zoib-built-manually-e6s1", "kernel_id": "106892110"}, {"ref": "vidushianand09/student-exam-score-prediction-cv-ensembling-st", "kernel_id": "106655947"}, {"ref": "melvinamedetadji/ps-s6e1-ensemble-tun", "kernel_id": "106944354"}, {"ref": "melvinamedetadji/ps-s6e1-student-scores-systematic-approach", "kernel_id": "106858883"}, {"ref": "keyadobriyal/student-score-prediction-regression-pipeline", "kernel_id": "106176074"}, {"ref": "keyadobriyal/exam-score-prediction-feature-importance-logic", "kernel_id": "106349470"}, {"ref": "keyadobriyal/exam-score-prediction-fe-and-ensemble", "kernel_id": "106000467"}, {"ref": "keyadobriyal/exam-score-prediction-xgb-lgbm-catb", "kernel_id": "106058989"}, {"ref": "keyadobriyal/exam-score-prediction-feature-engineering-pipeline", "kernel_id": "106876526"}, {"ref": "cartoonistbeard/s6e1-single-xgb-cv-8-58-lb-8-54", "kernel_id": "106222101"}, {"ref": "cartoonistbeard/ps6e1-catboost-secondary-enc-cv-8-71", "kernel_id": "106072669"}, {"ref": "mohitsharma231234/s6e1-lgbm-target-enc-8-652", "kernel_id": "106732226"}, {"ref": "mohitsharma231234/5e13-xgboost-cv-optuna-param-8-705", "kernel_id": "106289006"}, {"ref": "dacxj0/s6e1-pytorch-xgb-hybrid", "kernel_id": "106173785"}, {"ref": "jd0320/eda-feature-extraction-preprocessing", "kernel_id": "106373483"}, {"ref": "badalkrsharma/predicting-student-test-scores", "kernel_id": "106126968"}, {"ref": "rishabh1pathak/prediction-of-exam-score-using-randomforest", "kernel_id": "106844832"}, {"ref": "pushpgarg/detailed-eda-for-predicting-student-test-scores", "kernel_id": "106540734"}, {"ref": "zafarali27/s6e1-predicting-student-test-scores", "kernel_id": "106582877"}, {"ref": "fall2fire/student-test-score-prediction-optimized-catboost", "kernel_id": "106350637"}, {"ref": "fall2fire/hyper-parameters-for-catboost-regressor-gpu", "kernel_id": "106620868"}, {"ref": "fall2fire/test-score-prediction-beginners-friendly-hp-tuned", "kernel_id": "106976103"}, {"ref": "abhay1831/starter-student-score-pgs6e1", "kernel_id": "106290705"}, {"ref": "rohandsouza003/rigid-ensemble-stacking", "kernel_id": "106575241"}, {"ref": "avijitgiri/student-score-predictions", "kernel_id": "106218842"}, {"ref": "revatisn/ps-s6e1-xgb-lgb", "kernel_id": "106094434"}, {"ref": "revatisn/ps-s6e1-xgb-and-knn", "kernel_id": "106149799"}, {"ref": "mridul990601/predicting-student-test-scores-ensemble-optuna", "kernel_id": "106620981"}, {"ref": "chikonzeroselemani/predicting-test-scores-residuals-baseline", "kernel_id": "106116459"}, {"ref": "chikonzeroselemani/test-scores-simple-ensemble", "kernel_id": "106175703"}, {"ref": "vedikagupta0/student-test-scores-prediction-ensemble", "kernel_id": "106783953"}, {"ref": "kartikag234/student-test-scores", "kernel_id": "106395585"}, {"ref": "knight2221/ridge-resnet", "kernel_id": "106191737"}, {"ref": "knight2221/fe-ensemble-pipeline-xgboost-lightgbm", "kernel_id": "106189641"}, {"ref": "knight2221/feature-engineering-ensemble-3-xgb-lightgbm", "kernel_id": "106299604"}, {"ref": "knight2221/3-xgb-score-averaged", "kernel_id": "106300043"}, {"ref": "knight2221/eda-ridge-lightgbm-xgboost-ensemble", "kernel_id": "106131871"}, {"ref": "knight2221/baseline-xgboost-pipeline", "kernel_id": "106095781"}, {"ref": "knight2221/s6e1-fe-xgb-lgb-tabm", "kernel_id": "106503125"}, {"ref": "knight2221/s6e1-fe-3xgb-2lgb", "kernel_id": "106589664"}, {"ref": "drphilipfowler/s6e1-residual-xgb", "kernel_id": "106168685"}, {"ref": "drphilipfowler/s6e1-leaky-xgb-k-fold-smoothed-means", "kernel_id": "106168343"}, {"ref": "drphilipfowler/s6e1-ridge-xgb-ridge-regression", "kernel_id": "106169126"}, {"ref": "drphilipfowler/s6e1-tabm", "kernel_id": "106169488"}, {"ref": "drphilipfowler/s6e1-formula-xgb-fe-optuna", "kernel_id": "106167813"}, {"ref": "drphilipfowler/s6e1-ensemble-and-stack", "kernel_id": "106025841"}, {"ref": "deepankarmishrackt/ps-s06e01-eda", "kernel_id": "106556164"}, {"ref": "suryaprabha19/ps-s6e1-predicting-student-scores-ml-pipeline", "kernel_id": "106155420"}, {"ref": "bhaskarmishra44796/pss6e1-xgb-lgbm-weighted-avg", "kernel_id": "106004631"}, {"ref": "kunalkashyap29/prediction-of-student-test-score", "kernel_id": "106157444"}, {"ref": "divishjindal09/xgboost-eda-notebook", "kernel_id": "106185726"}, {"ref": "alanamonks/ridge-regressor-for-feature-weights-xgb-w-cv", "kernel_id": "106896031"}, {"ref": "skinnyorange/prediction-student-score", "kernel_id": "106904585"}, {"ref": "skinnyorange/student-score-prediction", "kernel_id": "106817397"}, {"ref": "elasgustavoknaus/linear-regression-ols-interpret-exam-score", "kernel_id": "106337552"}, {"ref": "lekhrajprajapati/prediction-student-test-score", "kernel_id": "106497998"}, {"ref": "atharvav75/studenttestscore-optuna-lgbm-catb-xgb-7foldcv", "kernel_id": "106987324"}, {"ref": "anuragyadav156/smarter-predicting-test-scores", "kernel_id": "106143534"}, {"ref": "obosrish/fe-lgb-blending-private-lb-8-64", "kernel_id": "106311890"}, {"ref": "vivekumar001/student-performance-prediction-eda-xgboost", "kernel_id": "106004518"}, {"ref": "victusadi/test-score-2", "kernel_id": "106449896"}, {"ref": "victusadi/test-score-1", "kernel_id": "106358524"}, {"ref": "eralygainulla/constant-solution", "kernel_id": "106109019"}, {"ref": "eralygainulla/strong-eda-by-ai", "kernel_id": "106332969"}, {"ref": "kirandesaikinvig/baseline-xgb-for-student-scores", "kernel_id": "106400620"}, {"ref": "kirandesaikinvig/eda-for-student-scores", "kernel_id": "106398046"}, {"ref": "sebaskhe/students-scores-predictions-eda-modeling", "kernel_id": "106116337"}, {"ref": "sanidhyavijay24/target-encoding-hill-climbing-8-664", "kernel_id": "106644126"}, {"ref": "mukundtimbadiya/student-testpridiction-onxgboost-lightbgm-catboost", "kernel_id": "106476751"}, {"ref": "mukundtimbadiya/student-test-score-eda", "kernel_id": "106374866"}, {"ref": "datayier/catboost-with-some-feature-engineering", "kernel_id": "106020672"}, {"ref": "yashdev01/marks-prediction", "kernel_id": "106015954"}, {"ref": "manasi197/ps6e1-meta-ensemble", "kernel_id": "106215897"}, {"ref": "manasi197/ps6e1-student-test-scores", "kernel_id": "106033727"}, {"ref": "manasi197/ps6e1-eda-single-xgb-score-8-70046", "kernel_id": "106014743"}, {"ref": "i0nlyaziz/predicting-student-test-scores-xgb-eda", "kernel_id": "106011249"}, {"ref": "bavatharanivethamani/notebookff258e8152", "kernel_id": "106492063"}, {"ref": "sanjidh090/psuedo-label-and-fe", "kernel_id": "106600517"}, {"ref": "sanjidh090/ps06-e01-starter", "kernel_id": "106044120"}, {"ref": "coadanas/predicting-student-test-scores", "kernel_id": "106782851"}, {"ref": "mahoganybuttstrings/pg-s6e1-xlearn-ffm-cv-8-66086-lb-8-62539", "kernel_id": "106759841"}, {"ref": "mahoganybuttstrings/pg-s6e1-lnn-cv-8-62289-lb-8-57507", "kernel_id": "106209633"}, {"ref": "madhukarmadhawan/second-prediction", "kernel_id": "106200444"}, {"ref": "furkangazidinler/predict-student-test-scores", "kernel_id": "106401792"}, {"ref": "ocwerfrancis/student-test-scores", "kernel_id": "106007581"}, {"ref": "skarin/simple-neural-network-baseline", "kernel_id": "106093186"}, {"ref": "mdevian/ps-s6e1-student-test-scores-xgboost", "kernel_id": "106012379"}, {"ref": "aiexplorer77/student-test-scores-prediction", "kernel_id": "106224521"}, {"ref": "anandmehto/student-test-score-prediction", "kernel_id": "106316547"}, {"ref": "craftycode/basic-exam-socre-estimator", "kernel_id": "106448092"}, {"ref": "solitaryseeker/dataset-creation-catboostregressor", "kernel_id": "106722139"}, {"ref": "nayanspatil/student-score-dl-ann", "kernel_id": "106728932"}, {"ref": "nayanspatil/predict-student-score", "kernel_id": "106725403"}, {"ref": "nanda0110/predicting-student-test-scores", "kernel_id": "106097869"}, {"ref": "zaouiyassine/sandbox-playground-s6e1", "kernel_id": "106103672"}, {"ref": "vedikasd/student-exam-score-prediction", "kernel_id": "106400926"}, {"ref": "pratikdeshmukh212121/predicting-student-test-scores", "kernel_id": "106970246"}, {"ref": "gustavohuss/s6e1-v2-eda-catboost-lgbm", "kernel_id": "106392309"}, {"ref": "shivams811/exam-score-predictions-ps6e1-xgb-lgb", "kernel_id": "106108694"}, {"ref": "yousefkoriem/test-score-prediciton-notebook", "kernel_id": "106162342"}, {"ref": "sagarsinghghanghas/student-test-score-best-basline-using-lgb-cat", "kernel_id": "106187291"}, {"ref": "ruslankudaibegenov/student-test-scores-xgb-begginer-friendly", "kernel_id": "106581303"}, {"ref": "daoviet/s6e1-xgb-lr-8-73", "kernel_id": "106028297"}, {"ref": "sharmagayatri/predicting-student-test-scores-rmse-8-68897", "kernel_id": "106017287"}, {"ref": "mdferozahmedafm/student-test-score-prediction-a-machine-learning", "kernel_id": "106012317"}, {"ref": "anujjakhar2104/s6e1-first-notebook", "kernel_id": "106323470"}, {"ref": "anujjakhar2104/ps-s6e1-8-56", "kernel_id": "106606450"}, {"ref": "aymankhan555/score-prediction-simple", "kernel_id": "106650549"}, {"ref": "aymankhan555/cracking-the-grade-xgb-optuna", "kernel_id": "106899103"}, {"ref": "abhishekawasthi151/eda-lr-hyper-turning", "kernel_id": "106160674"}, {"ref": "abhishekawasthi151/onehotencoding-ss-lgbm", "kernel_id": "106161846"}, {"ref": "abhishekawasthi151/exam-score-randomforest", "kernel_id": "106796561"}, {"ref": "ravipisu/predict-student-test-scores", "kernel_id": "106350545"}, {"ref": "vamsi5132k/student-test-scores-catboost", "kernel_id": "106211812"}, {"ref": "adarsh2626/model-with-dl-for-beginners-with-explanation", "kernel_id": "106964589"}, {"ref": "ngarai/student-score-prediction", "kernel_id": "106485459"}, {"ref": "mr1rameez/xgb-lgbm-hgb", "kernel_id": "106987578"}, {"ref": "amanvishwakarma01/ridge-lightgbm-simple-ensemble", "kernel_id": "106312359"}, {"ref": "amanvishwakarma01/8-66-score-ridge-xgboost-stacking-advanced-fe", "kernel_id": "106030848"}, {"ref": "amanvishwakarma01/gated-residual-neural-network-with-k-fold-ensemble", "kernel_id": "106069656"}, {"ref": "amanvishwakarma01/student-scores-optuna-tuned-xgboost", "kernel_id": "106889255"}, {"ref": "alonsofreire/test-score-catboost-oof-eval", "kernel_id": "106237575"}, {"ref": "nina2025/ps-s6e1-hb4g", "kernel_id": "106117295"}, {"ref": "nina2025/ps-s6e1-hb5g", "kernel_id": "106122239"}, {"ref": "nina2025/ps-s6e1-hb3g", "kernel_id": "106051242"}, {"ref": "nina2025/ps-s6e1-hill-climbing-h-blend-2", "kernel_id": "106338458"}, {"ref": "nina2025/ps-s6e1-hill-climbing-h-blend", "kernel_id": "106242623"}, {"ref": "nina2025/ps-s6e1-hb9g", "kernel_id": "106265032"}, {"ref": "nina2025/ps-s6e1-hb15g", "kernel_id": "106609449"}, {"ref": "nina2025/ps-s6e1-hb16g", "kernel_id": "106680488"}, {"ref": "nina2025/ps-s6e1-hb20g", "kernel_id": "106750081"}, {"ref": "nina2025/ps-s6e1-hb21g", "kernel_id": "106765172"}, {"ref": "nina2025/ps-s6e1-hb13g", "kernel_id": "106502481"}, {"ref": "nina2025/ps-s6e1-hill-climbing-h-blend-vote-2", "kernel_id": "106452460"}, {"ref": "nina2025/ps-s6e1-hill-climbing-h-blend-vote", "kernel_id": "106446270"}, {"ref": "nina2025/ps-s6e1-hb27g", "kernel_id": "106998859"}, {"ref": "nina2025/ps-s6e1-hb25g", "kernel_id": "106915744"}, {"ref": "nina2025/ps-s6e1-hb24g", "kernel_id": "106912632"}, {"ref": "nithushasubenthiran/student-exam-score-prediction-catboost", "kernel_id": "106463038"}, {"ref": "nithushasubenthiran/student-exam-score-prediction-randomforest", "kernel_id": "106460476"}, {"ref": "nithushasubenthiran/student-exam-score-prediction-xgboost", "kernel_id": "106314141"}, {"ref": "murtazaabdullah2010/ps-s1e1-eda", "kernel_id": "106156147"}, {"ref": "thomastschinkel/s6e1-8-54753-hill-climbing-ridgecv-stacking", "kernel_id": "106177489"}, {"ref": "tiagoheitzmann/student-scores-eda-xgboost-easy-explained", "kernel_id": "106124937"}, {"ref": "mohitmalviya0107/the-google", "kernel_id": "106127246"}, {"ref": "pythoxb/predict-student-test-score", "kernel_id": "106638535"}, {"ref": "pythoxb/playing-with-data", "kernel_id": "106015937"}, {"ref": "utaazu/s6e1-single-catboost-orig-aug-ridge", "kernel_id": "106185445"}, {"ref": "utaazu/s6e1-single-tabm-dual-representation-num-cat", "kernel_id": "106215683"}, {"ref": "stephentarter/ps-s06e01-experiment-setup", "kernel_id": "106257951"}, {"ref": "stephentarter/ps-s06e01-eda", "kernel_id": "106258372"}, {"ref": "stephentarter/ps-s06e01-xgboost", "kernel_id": "106687925"}, {"ref": "stephentarter/ps-s06e01-catboost", "kernel_id": "106584884"}, {"ref": "stephentarter/ps-s06e01-lightgbm", "kernel_id": "106907123"}, {"ref": "stephentarter/ps-s06e01-model-blending", "kernel_id": "106911275"}, {"ref": "ismatkhan121/predicting-student-testscores", "kernel_id": "106386133"}, {"ref": "doganatmaca/deep-student-analytics-scaling-pytorch-to-630k", "kernel_id": "106048513"}, {"ref": "doganatmaca/threemodels-kfold-xgb-8-68", "kernel_id": "106109633"}, {"ref": "sarahputhran/predicting-student-test-scores", "kernel_id": "106709204"}, {"ref": "ehsanzx/simple-xgb-student-score-prediction", "kernel_id": "106393279"}, {"ref": "djenkivanov/good-baseline-simple-xgb-optuna-norm-onehot", "kernel_id": "106725194"}, {"ref": "djenkivanov/xgb-catboost-ensemble-with-optuna", "kernel_id": "106993285"}, {"ref": "yumekohata/complete-starter-kit-eda-xgb-catboost-ridge", "kernel_id": "106858956"}, {"ref": "yumekohata/lb-8-76999-ridge-catboost", "kernel_id": "106451002"}, {"ref": "rahulchauhan016/predicting-student-test-scores-eda-xgboost", "kernel_id": "106567158"}, {"ref": "namansudershan/xgboost-eda", "kernel_id": "106023060"}, {"ref": "ankit02yadav/ps-s6e1-predicting-student-scores", "kernel_id": "106207948"}, {"ref": "mohankrishnathalla/predicting-student-test-scores", "kernel_id": "106006201"}, {"ref": "adityakumarsony/predicting-test-score", "kernel_id": "106959485"}, {"ref": "sehaj1104/student-score-prediction-v1", "kernel_id": "106540864"}, {"ref": "rekhsharathchandra/playgrounddataset", "kernel_id": "106013964"}, {"ref": "user412/ps-s6e1-lgb-xgb-cat-blending-score-8-70861", "kernel_id": "106106442"}, {"ref": "srijadechowdhury/student-tests-score-prediction", "kernel_id": "106887651"}, {"ref": "shayanzk/student-exam-score-prediction", "kernel_id": "106303213"}, {"ref": "jeffwin18/student-test-scores-prediction", "kernel_id": "106512067"}, {"ref": "kaushtubhkumar/student-marks", "kernel_id": "106494307"}, {"ref": "dnyaneshbharambe/learned-lr-formula-xgb-optimised-hyperparameter", "kernel_id": "106069794"}, {"ref": "jeckaggle/predicting-student-scores-jec", "kernel_id": "106765446"}, {"ref": "lock812/student-test-scores-ightgbm-catboost", "kernel_id": "106150029"}, {"ref": "neelpavale/student-score-k-fold-lgb-xgb-catboost", "kernel_id": "106806074"}, {"ref": "samyakrajbayar/student-scores", "kernel_id": "106615875"}, {"ref": "samyakrajbayar/ps-s2", "kernel_id": "106716592"}, {"ref": "samyakrajbayar/predicting-student-performance-in-exams", "kernel_id": "106880658"}, {"ref": "souvikdbiswas/student-score-prediction-eda-ml", "kernel_id": "106187799"}, {"ref": "souvikdbiswas/basic-dl-model-student-score-prediction", "kernel_id": "106188307"}, {"ref": "rubel01/beginner-baseline", "kernel_id": "106771675"}, {"ref": "misusingkaggle/first-ml-project", "kernel_id": "106186742"}, {"ref": "emanuellcs/student-test-scores-ridge-xgb-lgbm", "kernel_id": "106924645"}, {"ref": "shagun812/predicting-student-scores-xgboost", "kernel_id": "106629539"}, {"ref": "eric15342335/autogluon-predicting-student-scores-lb-8-5707", "kernel_id": "106871295"}, {"ref": "ansh3121/student-test-scores-complete-eda", "kernel_id": "106358930"}, {"ref": "yehor748/s6e1-eda-xgb", "kernel_id": "106324679"}, {"ref": "aliyamanal/predicting-student-test-scores-0-4", "kernel_id": "106988680"}, {"ref": "saivimenthanvlai/student-prediction", "kernel_id": "106152124"}, {"ref": "raziaawais123/notebook04049f0d52", "kernel_id": "106396027"}, {"ref": "dokivot/pstsolution", "kernel_id": "106471323"}, {"ref": "dokivot/s6e1-xgb-hyp-tunned-lb-8-56459", "kernel_id": "106763472"}, {"ref": "dokivot/s6e1-single-xgb-add-categorymean", "kernel_id": "106759805"}, {"ref": "hosseinbadrnezhad/predict-student-catboostregressor", "kernel_id": "106465606"}, {"ref": "hosseinbadrnezhad/student-test-score-catboostregressor", "kernel_id": "106456745"}, {"ref": "hosseinbadrnezhad/predicting-student-test-scores-lgbm", "kernel_id": "106166791"}, {"ref": "hosseinbadrnezhad/predict-student-catboost-residual-pseudo-label", "kernel_id": "106290147"}, {"ref": "hosseinbadrnezhad/predicting-student-test-scores-target-encoding-oof", "kernel_id": "106284701"}, {"ref": "xian98692/predict-exam-score", "kernel_id": "106076573"}, {"ref": "shuheikuroiwa/catboost", "kernel_id": "106881599"}, {"ref": "jaswinreddym/s6e1-elasticnet-xgb-residual-learning", "kernel_id": "106002052"}, {"ref": "jaswinreddym/ps6e1-xgb-residual-learning", "kernel_id": "106007928"}, {"ref": "divyanshuuucoder/divyanshu-submission2", "kernel_id": "106203193"}, {"ref": "froggobytes/predicting-exam-scores-with-hgbregression", "kernel_id": "106143136"}, {"ref": "ehsanfarazmand/pg-predicting-student-test-scores", "kernel_id": "106013860"}, {"ref": "kiransadam3/s6e1-eda-predicting-student-test-scores-su", "kernel_id": "106041509"}, {"ref": "konosubalgy/preprocessing", "kernel_id": "106127815"}, {"ref": "mlusyang/preprocessing", "kernel_id": "106271733"}, {"ref": "arjunsaxaena/predicting-student-test-score", "kernel_id": "106114014"}, {"ref": "pinipanda/eda-what-really-drives-student-test-scores", "kernel_id": "106243617"}, {"ref": "harshitverma018/student-score", "kernel_id": "106988139"}, {"ref": "randomstuff786/student-score", "kernel_id": "106285415"}, {"ref": "moeuuu/kagglebot-playground-series-i1", "kernel_id": "106194359"}, {"ref": "yomalthushara/notebook265cf9e214", "kernel_id": "106631280"}, {"ref": "datasciencegrad/s6e1-xgb-lb-8-59667", "kernel_id": "106006448"}, {"ref": "datasciencegrad/s6e1-xgb-ridge-meta-feature", "kernel_id": "106090517"}, {"ref": "datasciencegrad/s6e1-xgb-hyp-tunned", "kernel_id": "106093085"}, {"ref": "datasciencegrad/s6e1-hill-climbing-and-ridgecv", "kernel_id": "106350273"}, {"ref": "datasciencegrad/s6e1-meta-learner-lr", "kernel_id": "106846810"}, {"ref": "gerlingxia/s6e1-eda-fe-blend", "kernel_id": "106193021"}, {"ref": "oxgadfly/playground-series-s6e1-automl", "kernel_id": "106067924"}, {"ref": "amithmahesh/s6e1-eda-xgboosting-with-hypertuning", "kernel_id": "106020183"}, {"ref": "srijitmaji/notebookstudenttestscore", "kernel_id": "106066365"}, {"ref": "komalbatoolai/students-score-prediction-complete-eda-base", "kernel_id": "106937890"}, {"ref": "shraddhasingh555/notebook3838f25bf1", "kernel_id": "106200745"}, {"ref": "anubhavyadav2529/student-marks-prediction-lgbm-and-xgb-model", "kernel_id": "106765139"}, {"ref": "christph/ps-s6e1-r-h2o-automl", "kernel_id": "107341862"}, {"ref": "abisheksrivastav/tabm-catboost", "kernel_id": "107185044"}, {"ref": "yekenot/ps-s6-e1-deeptables-nn", "kernel_id": "107347901"}, {"ref": "sword4949/predicting-student-test-scores", "kernel_id": "107517660"}, {"ref": "arbazkhan971/notebook5b220d7cbe", "kernel_id": "107032570"}, {"ref": "include4eto/xgb-nested-lr-nested-te-my-best-single-model", "kernel_id": "107765409"}, {"ref": "mmalam/eda-failed-attempt-to-find-pattern", "kernel_id": "107537838"}, {"ref": "oscarm524/ps6-ep1-modeling-submission", "kernel_id": "107143339"}, {"ref": "ahmedabdulhamid/7adid-elsafina-ml-model-uplifting-3", "kernel_id": "107294372"}, {"ref": "ahmedabdulhamid/7adid-elsafina-ml-baseline-model-2", "kernel_id": "107182089"}, {"ref": "obiaf88/s6e1-predicting-stud-test-linearregr-pytorch", "kernel_id": "107557545"}, {"ref": "plumeria/predicting-the-marks", "kernel_id": "107413407"}, {"ref": "hossam82/high-score", "kernel_id": "107275773"}, {"ref": "josephs068/cat-lgbm-xg-ens", "kernel_id": "107572741"}, {"ref": "jokerinthapack/s6e1-beginner-friendly-notebook", "kernel_id": "107989086"}, {"ref": "brysonje/catboost-10fold-cross-validation", "kernel_id": "107363292"}, {"ref": "brysonje/lightgbm-10folds-cross-validation-meta-feature", "kernel_id": "107529825"}, {"ref": "ameyphutane/playground-s6e1-baseline", "kernel_id": "107777219"}, {"ref": "dynamo14324/s6e1-student-test-scores-eda-baseline", "kernel_id": "107803596"}, {"ref": "shitaoliao/scoring-prediction-solo-catboost-8-70", "kernel_id": "107871213"}, {"ref": "azzamradman/blend-the-blender", "kernel_id": "107997410"}, {"ref": "tracyporter/play-6-1-catboost-reg-pool", "kernel_id": "107300396"}, {"ref": "tracyporter/play-6-1-catboost-reg", "kernel_id": "107294687"}, {"ref": "devaangbarthwal/test-scores-prediction", "kernel_id": "107211363"}, {"ref": "nnsssadithya/playground-s6e1", "kernel_id": "107507599"}, {"ref": "lauvfpitipak/predicting-student-test-scores-v-1", "kernel_id": "107738549"}, {"ref": "lorenzoarcioni/student-test-score-with-tabm-d-regressor", "kernel_id": "107279998"}, {"ref": "nikolaypasevich/small-trick-with-target-encoding-kfold-and-groupy", "kernel_id": "107031798"}, {"ref": "barbagrande007/bbg007-examscores-stacking-tf-nn-lgb-xgb-br", "kernel_id": "107410720"}, {"ref": "masanakashima/s6e1-gpu-ensemble-oof-stacking", "kernel_id": "107192009"}, {"ref": "hyzentech/s6e1-ultimate-v6", "kernel_id": "107100092"}, {"ref": "billykoech/test-score", "kernel_id": "107603914"}, {"ref": "catherinepereira/neural-net-xgb-student-test-scores", "kernel_id": "107778569"}, {"ref": "ashiskumarbera/predicting-student-test-scores", "kernel_id": "107787551"}, {"ref": "praneeel/simple-xgb", "kernel_id": "107121491"}, {"ref": "rahul416/exam-score-pred", "kernel_id": "107103954"}, {"ref": "sharmajicoder/predicting-student-test-scores-s6e1", "kernel_id": "107133570"}, {"ref": "arraylist1402/predicting-student-scores-baseline", "kernel_id": "107508223"}, {"ref": "varadvaste/student-score-prediction", "kernel_id": "107507917"}, {"ref": "vh10935cse20/test-scores-lgbm-catboost", "kernel_id": "107364564"}, {"ref": "vh10935cse20/simple-neural-examscore", "kernel_id": "107540123"}, {"ref": "eu1234/student-scores-fe-catemb-sfs-optuna-nn-gbms-meta", "kernel_id": "107423144"}, {"ref": "eu1234/score-oof-test-preds-easy-with-cv-score-predict", "kernel_id": "107144126"}, {"ref": "lishachaudhari/ps-s6-ep1-fe-blend-xgb-lightgbm", "kernel_id": "107437482"}, {"ref": "derickchris/students-score-v1", "kernel_id": "107451335"}, {"ref": "vaishnavidesai345/predicting-student-test-scores", "kernel_id": "107180389"}, {"ref": "mahmouddahees/which-model-wins-rf-xgb-or-nn-rmse-8-72", "kernel_id": "107653782"}, {"ref": "rabihalahmadieh/testscores-using-statsmodels", "kernel_id": "107818306"}, {"ref": "mdshahatakash/student-test-score-prediction", "kernel_id": "107683241"}, {"ref": "nickkatsarelas/student-test-scores", "kernel_id": "107871955"}, {"ref": "vinodkumargurjar/a-practical-guide-to-tabular-regression", "kernel_id": "107337995"}, {"ref": "benzonsalazar/ps-s6e1-01-eda", "kernel_id": "107795595"}, {"ref": "benzonsalazar/ps-s6e1-02-feature-engineering", "kernel_id": "107795232"}, {"ref": "vivek7557/tabm-xgboost-ensemble", "kernel_id": "107777244"}, {"ref": "aayushiweb/predicting-student-test-scores", "kernel_id": "107956999"}, {"ref": "jixueting/ensemble-lr-xgb-lr-lgbm-resnet", "kernel_id": "107337072"}, {"ref": "ankanbasak/psts-v2", "kernel_id": "107617593"}, {"ref": "hafizmuaz9595/student-test-score", "kernel_id": "107685681"}, {"ref": "itzgauurab/s5-ep13-score-8-54413", "kernel_id": "107536313"}, {"ref": "roboris/student-score-ensemble-lgb-xgb-catboost", "kernel_id": "107662688"}, {"ref": "roboris/student-score-catboost-baseline", "kernel_id": "107660850"}, {"ref": "roboris/student-score-feature-engineering-xgboost", "kernel_id": "107659081"}, {"ref": "roboris/student-score-eda-beginner-friendly-15-vis", "kernel_id": "107651832"}, {"ref": "roboris/student-score-lightgbm-baseline-rmse-8-5", "kernel_id": "107653456"}, {"ref": "rishabhkannaujiya/s6e1-xgb-lgbm-catboost-auto-blend", "kernel_id": "107545966"}, {"ref": "ashwinmahawar/score-prediction-random-seed-blend-8-712", "kernel_id": "107276892"}, {"ref": "samiaqadir/predicting-student-test-scores", "kernel_id": "107362676"}, {"ref": "faizanshaikh20/optimized-ensemble-8-53-lb-with-fe-secrets", "kernel_id": "107769467"}, {"ref": "udita12345/studenttestscore", "kernel_id": "107288373"}, {"ref": "udita12345/studenttestscore2", "kernel_id": "107360281"}, {"ref": "carlospereavega/s6e1-test-scores-r-eda-ensemble", "kernel_id": "107192154"}, {"ref": "mehmetsel/studentscores-eda-fe-lightgbm-optuna", "kernel_id": "107001822"}, {"ref": "yusuphabojang/ps6-ep1-modeling-submission", "kernel_id": "107143345"}, {"ref": "wariishayat/student-score-prediction", "kernel_id": "107849556"}, {"ref": "zeyadmohamadezzat/student-scores-tabm-xgb-advanced-fe", "kernel_id": "107223303"}, {"ref": "harshhss/predicting-test-scores", "kernel_id": "107735383"}, {"ref": "gourabr0y555/s6e1-8-56-xgboost-with-ridge-regression", "kernel_id": "107949149"}, {"ref": "angyscoob/grid-search-to-optimize-manual-formula", "kernel_id": "107731576"}, {"ref": "suhanigupta04/ensemble-xgb-lgb-catboost-predict-scores", "kernel_id": "107372790"}, {"ref": "melvinamedetadji/ps-s6e1-tuning-lgb-cat", "kernel_id": "107381654"}, {"ref": "melvinamedetadji/ps-s6e1-multiple-seeds", "kernel_id": "107583233"}, {"ref": "melvinamedetadji/ps-s6e1-stacking", "kernel_id": "107509613"}, {"ref": "hisatosenda/predicting-student-test-scores-eda", "kernel_id": "107168496"}, {"ref": "keyadobriyal/exam-score-prediction-fe-ridge-xgb", "kernel_id": "107727917"}, {"ref": "keyadobriyal/exam-score-prediction-fe-pipeline", "kernel_id": "107102341"}, {"ref": "ahmetcankarabulut/predictingtestscores-xgbregressor", "kernel_id": "107161226"}, {"ref": "saiganeshvoodi/student-score-prediction", "kernel_id": "107318341"}, {"ref": "saiganeshvoodi/predicting-students-test-scores", "kernel_id": "107313258"}, {"ref": "aliguinga5/predicting-student-test-scores", "kernel_id": "107087942"}, {"ref": "avinashkushawaha/3prediction", "kernel_id": "107857239"}, {"ref": "avinashkushawaha/lastpred", "kernel_id": "107858444"}, {"ref": "avinashkushawaha/student-score-pred", "kernel_id": "107841905"}, {"ref": "avinashkushawaha/notebookdcf1be1a43", "kernel_id": "107847614"}, {"ref": "nurikw3/improved-baseline-oof-stacking", "kernel_id": "107448714"}, {"ref": "shreyaspandeyy/xgboost-lightgbm", "kernel_id": "107573297"}, {"ref": "badalkrsharma/simple-code-you-need-rmse-score-8-5004", "kernel_id": "107301991"}, {"ref": "parthzadeshwariya/predicting-student-test-scores", "kernel_id": "107533183"}, {"ref": "sofiemeyer/catboost-randomsearch-tuned-model", "kernel_id": "107846738"}, {"ref": "ashrafulhossenakash/s5-ep13-score-8-54413", "kernel_id": "107036302"}, {"ref": "ashrafulhossenakash/8-54462-submission", "kernel_id": "107150396"}, {"ref": "ashrafulhossenakash/8-544622", "kernel_id": "107197881"}, {"ref": "ashrafulhossenakash/sts-8-54413-4", "kernel_id": "107378021"}, {"ref": "tusharbhardwaj0409/s6e1-strong-feature-engineering-lgb-xgb-ensemble", "kernel_id": "107184911"}, {"ref": "shawneilrodrigues/advanced-ml-pipeline-exam-score-prediction-with-m", "kernel_id": "107539835"}, {"ref": "stellaromar/xgboost-with-optuna", "kernel_id": "107803274"}, {"ref": "xixama/predicting-scores-in-a-pro-way", "kernel_id": "107723374"}, {"ref": "ishitaoberoi/advanced-feature-engineering-xgboost-model", "kernel_id": "107917610"}, {"ref": "alanamonks/test-scores-lgb-optuna", "kernel_id": "107606077"}, {"ref": "amit393/notebookec798c9d7d", "kernel_id": "107683022"}, {"ref": "prabhleenkaur6003/test-scores", "kernel_id": "107755492"}, {"ref": "yusufmurtaza01/s6-e1-eda-training", "kernel_id": "107758875"}, {"ref": "yusufmurtaza01/s6e1-blending", "kernel_id": "107767839"}, {"ref": "yusufmurtaza01/s6e1-ensembeling-xgb-lgb-cb", "kernel_id": "107934248"}, {"ref": "daisyarce/data515-submission-notebook", "kernel_id": "107737339"}, {"ref": "rizaihamj/kp2-exercise-2", "kernel_id": "107728278"}, {"ref": "muhammadhamzanawaz/student-test-score-prediction", "kernel_id": "107776191"}, {"ref": "youssef019/predicting-student-test-scores", "kernel_id": "107792874"}, {"ref": "moridata/predicting-student-test-scores", "kernel_id": "107256956"}, {"ref": "djamilabenchikh/catboost-regressor", "kernel_id": "107058729"}, {"ref": "ahmaddanyal347/ps-s6e1-eda-adv-features-xgboost", "kernel_id": "107647461"}, {"ref": "akshatkasarwal/predicting-student-test-scores", "kernel_id": "107186906"}, {"ref": "datayier/cat-lgbm-xgb-ridge-stacking", "kernel_id": "107417994"}, {"ref": "vishwabarade/student-score-prediction", "kernel_id": "107019442"}, {"ref": "kodaifukuda0311/test-score-prediction-kfold-lgbm-xgb-lb8-69243", "kernel_id": "107328028"}, {"ref": "richie432456/notebooke970316718", "kernel_id": "107612273"}, {"ref": "srinivas26k/s6e1-predicting-student-test-scores", "kernel_id": "107367281"}, {"ref": "zaouiyassine/stacking-with-a-neural-network", "kernel_id": "107442809"}, {"ref": "mah20050/xg-ranger-academic-forecaster", "kernel_id": "107958843"}, {"ref": "kiranpal18/test-score", "kernel_id": "107629740"}, {"ref": "benedictusryugunawan/s6-e1-predicting-student-test-scores-top-26", "kernel_id": "107542948"}, {"ref": "alaamohsalahmotawe/predicting-student-test-scores-comp", "kernel_id": "107771445"}, {"ref": "rhythmghai/sub-8-7-rmse-neural-stacking-ensemble", "kernel_id": "107965354"}, {"ref": "anoopkumar303/student-marks-predictor", "kernel_id": "107959948"}, {"ref": "anoopkumar303/xgboost-lightgbm", "kernel_id": "107955525"}, {"ref": "abhishekg160/student-score-2", "kernel_id": "107808828"}, {"ref": "abhishekg160/ps-s6e1-hb33g-ct", "kernel_id": "107809568"}, {"ref": "abhishekg160/s6e1-xgb-hyp-tunned-lb-8-56459", "kernel_id": "107854267"}, {"ref": "abhishekg160/student-score", "kernel_id": "107742256"}, {"ref": "b0o0da/xgboost-lgbm-prediction-rmse-8-713", "kernel_id": "107545802"}, {"ref": "harshit12120/predicting-student-test-january-contest", "kernel_id": "107417209"}, {"ref": "gabewinterrowd/ps-s6e1-xgboost", "kernel_id": "107143454"}, {"ref": "lexsem/predictin-student-score-xgbregressor", "kernel_id": "107212790"}, {"ref": "aliiakbarkhan/predicting-student-test-scores", "kernel_id": "107772982"}, {"ref": "ryqn00/s6e1new", "kernel_id": "107613126"}, {"ref": "rawashishsin/s6e1-eda-for-beginners", "kernel_id": "107928119"}, {"ref": "hadesgo/test-score-prediction", "kernel_id": "107105414"}, {"ref": "hadesgo/student-score-prediction", "kernel_id": "107282742"}, {"ref": "abhishekawasthi151/predict-score-blending", "kernel_id": "107122466"}, {"ref": "rajdeepak01oz/predicting-student-test-scores", "kernel_id": "107691274"}, {"ref": "anhadmahajan06/predicting-student-test-scores", "kernel_id": "107504092"}, {"ref": "ethanschultz5/es-s6-ep1-modeling-submission", "kernel_id": "107143340"}, {"ref": "syedfarazhussaini/2026jan-prediciting-student-test-scores", "kernel_id": "107790681"}, {"ref": "mugishapacifique/48th-position-solution", "kernel_id": "107106580"}, {"ref": "mr1rameez/advanced-feature-engineering", "kernel_id": "107277055"}, {"ref": "mr1rameez/adv-fe-and-5-fold-cross-validation-pipeline", "kernel_id": "107278398"}, {"ref": "sumitchavhan7/predicting-student-test-scores", "kernel_id": "107265454"}, {"ref": "palpawan12/student-pedication-xgboost", "kernel_id": "107624460"}, {"ref": "nabeelqureshitiii/pipeline-scorepred-competition-s6e1", "kernel_id": "107923398"}, {"ref": "nina2025/ps-s6e1-hb34g-ct", "kernel_id": "107730771"}, {"ref": "nina2025/ps-s6e1-hb35g-ct", "kernel_id": "107752907"}, {"ref": "nina2025/ps-s6e1-hb35g", "kernel_id": "107630684"}, {"ref": "nina2025/ps-s6e1-hb33g-ct", "kernel_id": "107493775"}, {"ref": "nina2025/ps-s6e1-hb34g-ct-prev-hb33g-ct", "kernel_id": "107570088"}, {"ref": "nina2025/ps-s6e1-hb33g", "kernel_id": "107351688"}, {"ref": "nina2025/ps-s6e1-hb32g", "kernel_id": "107250225"}, {"ref": "nina2025/ps-s6e1-hb29g", "kernel_id": "107147359"}, {"ref": "nina2025/ps-s6e1-hb28g", "kernel_id": "107092090"}, {"ref": "nina2025/ps-s6e1-hb37g-ct", "kernel_id": "107800792"}, {"ref": "nina2025/ps-s6e1-hb38g-ct-lb-private-25", "kernel_id": "107862966"}, {"ref": "nina2025/ps-s6e1-hb38g-ct", "kernel_id": "107881292"}, {"ref": "sherajsharif/notebook19471a81a3", "kernel_id": "107845661"}, {"ref": "ayushmishrais24a/predicting-student-test-score", "kernel_id": "107140595"}, {"ref": "niteshyadav0604/notebooke9177b716b", "kernel_id": "107836816"}, {"ref": "utaazu/s6e1-tobit-xgboost-theoretical-implementation", "kernel_id": "107206031"}, {"ref": "payaldhokane/predicting-student-test-score-kfold-lightgbm", "kernel_id": "107296010"}, {"ref": "payaldhokane/predicting-student-test-scores", "kernel_id": "107295410"}, {"ref": "friedorange/prediction-exam-scores", "kernel_id": "107974544"}, {"ref": "pinch202/prediction", "kernel_id": "107265309"}, {"ref": "ehsanzx/good-baseline-optuna-ensemble-prediction", "kernel_id": "107658367"}, {"ref": "ehsanzx/ssp-lgbm-advanced-optimization-techniques", "kernel_id": "107621434"}, {"ref": "adiratnam/jan26", "kernel_id": "107953939"}, {"ref": "djenkivanov/top-25-xgb-catboost-lgbm-ensemble-with-optuna", "kernel_id": "107535663"}, {"ref": "lokeshs18/student-score-prediction", "kernel_id": "107131628"}, {"ref": "santoshyadavaiexpert/predicting-student-test-scores", "kernel_id": "107425888"}, {"ref": "sunidhibharti/exam-score-prediction-using-catboost-regressor", "kernel_id": "107691548"}, {"ref": "joshi9/notebook7787c47f01", "kernel_id": "107408360"}, {"ref": "amayporwal/fe-xgboost", "kernel_id": "107946121"}, {"ref": "prabhatxoplore/predictstudentscore-sgd-regressor", "kernel_id": "107212787"}, {"ref": "aaryangotad/clean-ensemble-by-a-beginner", "kernel_id": "107753142"}, {"ref": "bhosaleatharv/predicting-student-scores-using-xgboost", "kernel_id": "107575744"}, {"ref": "sehaj1104/predicting-student-test-scores-g", "kernel_id": "107906201"}, {"ref": "rekhsharathchandra/test-score", "kernel_id": "107031130"}, {"ref": "naman1227/scoreprediction", "kernel_id": "107507293"}, {"ref": "malikhalawa/student-grade", "kernel_id": "107130285"}, {"ref": "malikhalawa/exam-score", "kernel_id": "107858458"}, {"ref": "divvelaashish/custom-jax-vs-scikit-learn", "kernel_id": "107380140"}, {"ref": "divvelaashish/boostingregressor", "kernel_id": "107794637"}, {"ref": "mytalkwithyou/predicting-student-test-score-project", "kernel_id": "107763623"}, {"ref": "harukiharada/simple-lightgbm-starter", "kernel_id": "107833665"}, {"ref": "harukiharada/weights-xgb-0-1164-lgbm-0-6445-cat-0-2390", "kernel_id": "107846206"}, {"ref": "harukiharada/ensemble-xgb-lgbm-catboost", "kernel_id": "107881541"}, {"ref": "thada72/notebook1dd4ea8401", "kernel_id": "107512185"}, {"ref": "palpriyanshu/predicting-student-test-marks", "kernel_id": "107400838"}, {"ref": "prashantthorat95/notebookab66bb49f0", "kernel_id": "107520598"}, {"ref": "prashantthorat95/sumission-2", "kernel_id": "107522793"}, {"ref": "sumeakash/predict-student-score", "kernel_id": "107753351"}, {"ref": "nick2908/optuna-boosting", "kernel_id": "107532854"}, {"ref": "eric15342335/autogluon-predicting-student-scores-gpu", "kernel_id": "107277753"}, {"ref": "tanishamahajan16/notebook-score-prediction", "kernel_id": "107839687"}, {"ref": "tiktukk0/student-test-scores", "kernel_id": "107382614"}, {"ref": "parthsarnobat/s6e1-student-scores-ridge-lgbm-residuals", "kernel_id": "107410661"}, {"ref": "alphanode/student-score-predictor-gbr-ensemble-model", "kernel_id": "107399927"}, {"ref": "joshuawellsmsol/notebookec5be35dfd", "kernel_id": "107761699"}, {"ref": "dronabopche/student-score", "kernel_id": "107816161"}, {"ref": "mithunkannaa/student-prediction", "kernel_id": "107259483"}, {"ref": "brillianopp/predicting-student-test-score", "kernel_id": "107354095"}, {"ref": "shuheikuroiwa/catboost-smooth-te-robust-analysis", "kernel_id": "107046862"}, {"ref": "shuheikuroiwa/ensemble", "kernel_id": "107167933"}, {"ref": "shuheikuroiwa/student-score-prediction-simple-ensemble-starter", "kernel_id": "107199572"}, {"ref": "sangeethasanthi/predicting-student-test-scores", "kernel_id": "107289230"}, {"ref": "historiayimr/pre4-0", "kernel_id": "107189275"}, {"ref": "froggobytes/using-deep-wide-nn-to-predict-student-test-scores", "kernel_id": "107133857"}, {"ref": "kiransadam3/s6e1-eda2-predicting-student-test-scores-su", "kernel_id": "107267144"}, {"ref": "ravenite/notebooka0081135de", "kernel_id": "107620391"}, {"ref": "stevenogreed/notebook6d6218e2de", "kernel_id": "107876826"}, {"ref": "nikifx/catboost-and-mlp", "kernel_id": "107959288"}, {"ref": "andrews44/exam-score-predictor-advanced-features-xgb-lgb", "kernel_id": "107427704"}, {"ref": "datasciencegrad/s6e1-student-test-scores-wb", "kernel_id": "107296125"}, {"ref": "rauffauzanrambe/predicting-student-scores-baseline-ensemble", "kernel_id": "107258224"}, {"ref": "rauffauzanrambe/predict-name-student-and-scores-grade-exams", "kernel_id": "107814216"}, {"ref": "abhinavkhatana17/predicting-student-result", "kernel_id": "107271060"}, {"ref": "habeebu/lightgbm-optuna-leak-free-cv-playground-s6e1", "kernel_id": "107692510"}, {"ref": "mohammedsami001/first-comp", "kernel_id": "107873728"}, {"ref": "groundtoup/sanju12345", "kernel_id": "107938473"}, {"ref": "include4eto/single-xgb-cudf-pseudo-labels-cv-0-95573", "kernel_id": "108555529"}, {"ref": "wajahat1064/prediction-of-student-score-s6e1-ensemble", "kernel_id": "108038884"}, {"ref": "dynamo14324/s6e1-student-scores-lightgbm-baseline-cv-8-76", "kernel_id": "108024351"}, {"ref": "dynamo14324/student-score-prediction-xgb-lgb-ensemble", "kernel_id": "108025101"}, {"ref": "dynamo14324/student-test-scores-xgboost-baseline", "kernel_id": "108115434"}, {"ref": "mohamedabder/1-eda-predicting-student-test-scores", "kernel_id": "108058354"}, {"ref": "mohamedabder/2-modelisation-predicting-student-test-scores", "kernel_id": "108414891"}, {"ref": "chakrabhuanavdeva/student-test-score-prediction-using-nn", "kernel_id": "108407428"}, {"ref": "prashantpathak244/notebookb8314eb6fc", "kernel_id": "108062841"}, {"ref": "yugalkishore/xgboost-feature-centric", "kernel_id": "108167744"}, {"ref": "ayaabdalsalam/predictingscore", "kernel_id": "108311482"}, {"ref": "ravi20076/playgrounds6e2-public-baseline-v2", "kernel_id": "108479255"}, {"ref": "omidbaghchehsaraei/snapml-boostingmachine-for-student-test-scores", "kernel_id": "108399225"}, {"ref": "itsyoursumit/ps-s5e13-blend", "kernel_id": "108417461"}, {"ref": "mariusborel/predicted-test-scores-gboost", "kernel_id": "108106128"}, {"ref": "rishavtiwari/contest-1-predicting-student-marks", "kernel_id": "108382812"}, {"ref": "sharmajicoder/pytorch-solution", "kernel_id": "108273975"}, {"ref": "caseytrudo/predicting-student-test-scores", "kernel_id": "108418017"}, {"ref": "benzonsalazar/ps-s6e1-03-training", "kernel_id": "108190670"}, {"ref": "nathanmutakyawa/ps6-ep1-modeling-submission-v3", "kernel_id": "108292137"}, {"ref": "enesfurkanmacit/student-score-predicting-catboost-8-7480", "kernel_id": "108325614"}, {"ref": "baseershah/single-xgb-pseudo-labels-bell-curve-weighting", "kernel_id": "108314626"}, {"ref": "rayuga2503/ensemble-gradientboosting-xgboost-score-8-7309", "kernel_id": "108452357"}, {"ref": "eastonlarson/predicting-student-test-scores", "kernel_id": "108408510"}, {"ref": "ncyashaswini/playground-student-prediction", "kernel_id": "108027330"}, {"ref": "sushanthegde/exam-score-prediction", "kernel_id": "108215419"}, {"ref": "faizanshaikh20/lightgbm-xgb-rf-fast-track-to-8-54", "kernel_id": "108064886"}, {"ref": "westoon/pg-6-1-elasticnet-meta-feature-xgb", "kernel_id": "108142613"}, {"ref": "sudhanvahg/student-exam-score-prediction", "kernel_id": "108069413"}, {"ref": "zayl001/student-test-score-prediction", "kernel_id": "108319293"}, {"ref": "zayl001/student-test-score-prediction-with-fe", "kernel_id": "108385525"}, {"ref": "bahridgr/test-score-predict-kaggle-pgs-competition-s6e1", "kernel_id": "108190043"}, {"ref": "fsb2210/s6e1-kd-models-stacking", "kernel_id": "108329731"}, {"ref": "assemelqirsh/xgb-lgb-cat-ensemble-with-target-encoding", "kernel_id": "108395858"}, {"ref": "doctorn8/student-scores", "kernel_id": "108277761"}, {"ref": "keyadobriyal/test-score-prediction", "kernel_id": "108252465"}, {"ref": "marawaneslam/predicting-student-test-scores-lightgbm-catboost", "kernel_id": "108181162"}, {"ref": "roshaank20/predicting-student-test-scores", "kernel_id": "108239227"}, {"ref": "zyjx999/xgboost-lightgbm-catboost-blending", "kernel_id": "108228119"}, {"ref": "oluwadunnioluajayi/eda-exam-score-pred", "kernel_id": "108368126"}, {"ref": "kebinnuil/xgboost-predicting-student-test-score-competition", "kernel_id": "108327794"}, {"ref": "y213ui/train-vs-test-vs-orig", "kernel_id": "108375534"}, {"ref": "arseniykalashnikov/notebook5339c04242", "kernel_id": "108417930"}, {"ref": "dureyashfeen/playground-s6-e1", "kernel_id": "108102638"}, {"ref": "emranalbiek/students-scores-prediction", "kernel_id": "108965608"}, {"ref": "mjmagno/ps-s6e1", "kernel_id": "108374338"}, {"ref": "cheven/predict", "kernel_id": "108171929"}, {"ref": "nkforwork/normal-eda-submit", "kernel_id": "108372422"}, {"ref": "eralygainulla/eda-of-solution-blend", "kernel_id": "108062965"}, {"ref": "takatophy/ps6e1-student-exam-score-complete-eda", "kernel_id": "108150813"}, {"ref": "kodaifukuda0311/test-score-prediction-elasticnet-xgb-8-57326", "kernel_id": "108231300"}, {"ref": "avi70687/xgboost-catboost-lightgbm-ridge-prediction", "kernel_id": "108237985"}, {"ref": "avi70687/predicting-student-test-scores", "kernel_id": "108122143"}, {"ref": "avi70687/final-version-playground-series", "kernel_id": "108390879"}, {"ref": "doreshkumawat/student-prediction", "kernel_id": "108141146"}, {"ref": "kuldeepsingh1234/student-predicting-test-scores", "kernel_id": "108311075"}, {"ref": "mahoganybuttstrings/pg-s6e1-realmlp-cv-8-58748-lb-8-58006", "kernel_id": "108454902"}, {"ref": "mahoganybuttstrings/pg-s6e1-ridge-ensemble-cv-8-56634-lb-8-57273", "kernel_id": "108455121"}, {"ref": "syedmuhammadbilal12/s6e1-xgb-regressor", "kernel_id": "108414015"}, {"ref": "furkangazidinler/generating-test-predictions", "kernel_id": "108320931"}, {"ref": "willcoleman/exam-final", "kernel_id": "108332289"}, {"ref": "sarvagyasharma10/test-score-prediction", "kernel_id": "108045306"}, {"ref": "junesdata/predict-grades-ridge-stacking-with-xgboost", "kernel_id": "108040692"}, {"ref": "tanvirakon/s-t-a-i-r-s-till-catboost", "kernel_id": "108201011"}, {"ref": "abdulhayyassir/notebook-comp-4", "kernel_id": "108374195"}, {"ref": "jossuafigueiras/student-notes-prediction-xgb-lgbm-cat", "kernel_id": "108399284"}, {"ref": "meryemsudegk/predicting-student-test-scores", "kernel_id": "108404654"}, {"ref": "jonassouza872/student-predict-xgboost-lightgbm-catboost-ensemble", "kernel_id": "108161844"}, {"ref": "ankitasarkar0212/predicting-student-test-scores-s6-e1", "kernel_id": "108300443"}, {"ref": "shreyashbadiger/stuscore", "kernel_id": "108393233"}, {"ref": "vydibot/weights-xgboost-catboost", "kernel_id": "108094609"}, {"ref": "yogendrabs/studenttestscore", "kernel_id": "108741806"}, {"ref": "janneheldan/predicting-student-performance-s6e1", "kernel_id": "108829089"}, {"ref": "amanvishwakarma01/s6e1-robust-median-ensemble-lb-8-54461", "kernel_id": "108252068"}, {"ref": "nina2025/ps-s6e1-h-blend-of-4-trends", "kernel_id": "108391786"}, {"ref": "nina2025/ps-s6e1-hb44ag", "kernel_id": "108378928"}, {"ref": "nina2025/ps-s6e1-hb39g", "kernel_id": "108094033"}, {"ref": "nina2025/ps-s6e1-attempt-to-remove-incorrect-trends", "kernel_id": "108341795"}, {"ref": "nina2025/ps-s6e1-hb42g-attempt-find-trend-next-step", "kernel_id": "108266374"}, {"ref": "nina2025/ps-s6e1-hb40g-attempt-find-trend", "kernel_id": "108277018"}, {"ref": "nina2025/ps-s6e1-hb40g-lb-private-27-37", "kernel_id": "108187537"}, {"ref": "ahmetemirdundar/student-test-score-prediction-with-xgboost", "kernel_id": "108400710"}, {"ref": "deepaksacso/notebook13596a6f10", "kernel_id": "108507412"}, {"ref": "deepaksacso/predict-student-score", "kernel_id": "108392579"}, {"ref": "deepaksacso/predicting-student-test-scores", "kernel_id": "108061682"}, {"ref": "stephentarter/ps-s06e01-model-stacking", "kernel_id": "108175710"}, {"ref": "stephentarter/ps-s06e01-neural-network", "kernel_id": "108171729"}, {"ref": "stephentarter/ps-s06e01-ridge-regression", "kernel_id": "108000530"}, {"ref": "ehsanzx/deep-dive-eda-insights", "kernel_id": "108022852"}, {"ref": "shaikhnajiba/eda-student-test-scores", "kernel_id": "108224109"}, {"ref": "parthibghosh2006/notebook-exam-score", "kernel_id": "108143450"}, {"ref": "djenkivanov/top-15-simple-xgboost-with-optuna-tuning", "kernel_id": "108453172"}, {"ref": "girrajjangid/s6e1-top-tier-ensemble-for-exam-score-prediction", "kernel_id": "108071413"}, {"ref": "amayporwal/lasso-xgb-lightgbm", "kernel_id": "108253934"}, {"ref": "amayporwal/elasticnet-xgboost-lightgdm", "kernel_id": "108320499"}, {"ref": "romaneyvazov/s6e1-eda-xgboost-lightgbm", "kernel_id": "108221664"}, {"ref": "chnsss/playground-series-season-6-episode-1", "kernel_id": "108064182"}, {"ref": "nirmalpatel02/predicting-student-scores-8-69-biggner-friendly", "kernel_id": "108245648"}, {"ref": "farzanaanjumesha/student-exam-score-prediction", "kernel_id": "108909855"}, {"ref": "parthshah23/xgboost-with-rmse-8-63075", "kernel_id": "108170780"}, {"ref": "niyaagupta/xgbandcatboost", "kernel_id": "108294762"}, {"ref": "niyaagupta/ooflogresidualstacking", "kernel_id": "108295815"}, {"ref": "niyaagupta/xglgbmridge", "kernel_id": "108294401"}, {"ref": "jeffwin18/student3asd-playground-series-season-6-episode-1", "kernel_id": "108037238"}, {"ref": "jeffwin18/ps-s6e1-battle-of-trends", "kernel_id": "108134760"}, {"ref": "harukiharada/student-score-xgboost-lightgbm-catboost", "kernel_id": "108067523"}, {"ref": "aneelafatima/final-score-prediction", "kernel_id": "108394704"}, {"ref": "rammohanhota/notebook-nn", "kernel_id": "108122168"}, {"ref": "rammohanhota/lightgbm", "kernel_id": "108324710"}, {"ref": "rammohanhota/cat-boost", "kernel_id": "108333470"}, {"ref": "dugyanimahesh/notebook1d70d7ff84", "kernel_id": "108337422"}, {"ref": "dugyanimahesh/notebookeb9b4f030a", "kernel_id": "108079366"}, {"ref": "ryohector/notebook529d3eee67-1", "kernel_id": "108402646"}, {"ref": "shamiranshri/notebookfc572aeb51", "kernel_id": "108373243"}, {"ref": "romsham/playground-student-test-scores-keras", "kernel_id": "108219184"}, {"ref": "ademuzun2030/students-test-scores-prediction-using-ml", "kernel_id": "108150450"}, {"ref": "huangxin14/xgb-in-regression-task", "kernel_id": "108402772"}, {"ref": "jarrod202/predictive-modeling-the-hard-way-this-was-fun", "kernel_id": "108024948"}, {"ref": "leyuzakoksoken/predicting-student-test-score-with-linear-models", "kernel_id": "108261578"}, {"ref": "jenyabortulyov/notebook0a845a807b", "kernel_id": "108416393"}, {"ref": "rajatdev18/exam-score-prediciton-s6e1", "kernel_id": "108024554"}, {"ref": "jindal25heh/notebookbfe9575869", "kernel_id": "108312483"}, {"ref": "jindal25heh/notebook3625904e58", "kernel_id": "108343637"}, {"ref": "jindal25heh/notebookfa05aa55b6", "kernel_id": "108342586"}, {"ref": "jindal25heh/notebook05fda3892a", "kernel_id": "108343047"}, {"ref": "sagarwaghml/predicting-student-test-scores", "kernel_id": "108602734"}, {"ref": "nistha1111/notebook9bab687ee0", "kernel_id": "108276059"}, {"ref": "nistha1111/notebooke9c11caac4", "kernel_id": "108384250"}, {"ref": "nistha1111/notebook2f7cba2c9b", "kernel_id": "108381000"}, {"ref": "chanubyreddy/test-score-prediction-ensamble-hp-tuning", "kernel_id": "108161802"}, {"ref": "damanpreetdua/daman-predict-score", "kernel_id": "108607616"}, {"ref": "pilkwang/feature-factory-calibrated-ridge-stack", "kernel_id": "109768158"}, {"ref": "pilkwang/eda-predicting-student-test-scores-late-shared", "kernel_id": "109358308"}, {"ref": "ahmedelsayedtaha/customer-churn-analysis-power-bi", "kernel_id": "109409669"}, {"ref": "krishnayadav456wrsty/student-performace", "kernel_id": "109375844"}, {"ref": "avi70687/predicting-student-scores", "kernel_id": "109257423"}, {"ref": "demian285/notebook79442d73bd", "kernel_id": "109524860"}, {"ref": "tobezzi/predicting-the-school-exam-score", "kernel_id": "109823904"}, {"ref": "pilkwang/s6e3-eda-walkthrough", "kernel_id": "110953276"}, {"ref": "miadul/predication-students-test-scores", "kernel_id": "110096335"}, {"ref": "danielmuraddefreitas/modelo-notas-murad", "kernel_id": "110275934"}, {"ref": "ericemerich/xgbregressor-simple-eda", "kernel_id": "110858776"}, {"ref": "osmanozcanli/predicting-student-test-scores", "kernel_id": "110215077"}, {"ref": "anubhavyadav2529/uni-student-performance-habits", "kernel_id": "110639006"}, {"ref": "sky0701/eda-steps-on-student-test-score", "kernel_id": "111536622"}, {"ref": "vishalpatwa/students-marks", "kernel_id": "111061899"}, {"ref": "sahilpatial252/student-exam-score-prediction", "kernel_id": "111321856"}, {"ref": "rbi1337/notebook6d641b3218", "kernel_id": "111925202"}, {"ref": "jahongirtuychiyev/predict-test-score", "kernel_id": "111238471"}, {"ref": "liutpjh/predicting-student-test-scores", "kernel_id": "111296149"}, {"ref": "ewomaogheneonorimuo/ewoma-exam-score-prediction-data", "kernel_id": "111906980"}, {"ref": "ysfa7md/linearregression", "kernel_id": "112326853"}, {"ref": "gala121212121/xgboost-predict", "kernel_id": "112076019"}, {"ref": "manabbarman/student-test-score", "kernel_id": "112119896"}, {"ref": "jalesummak/students-test-scores-regression", "kernel_id": "112035429"}, {"ref": "nihalba/predicting-student-test-score", "kernel_id": "113439183"}, {"ref": "elzaim/notebook8a60a1d29a", "kernel_id": "113071709"}, {"ref": "ebjdoe/ps-s6e1-student-scores-study-hours-dominates", "kernel_id": "113045819"}, {"ref": "ebjdoe/s6e1-quantile-regression-score-distribution", "kernel_id": "113047074"}, {"ref": "tkwbpp/statistic-score-test", "kernel_id": "113859069"}, {"ref": "ramazanulus/student-test-score-prediction-deep-learning", "kernel_id": "113982771"}, {"ref": "jeroenbogers/notebook20692f71d4", "kernel_id": "114254657"}, {"ref": "danielgurwindas/predicting-student-test-scores-dan", "kernel_id": "114763994"}, {"ref": "meermoomin/predict-test-scores", "kernel_id": "114079748"}, {"ref": "aekmeddad/predictstudentscore-using-lgbm-nn", "kernel_id": "114875535"}, {"ref": "omeraydin1/studenttestscores", "kernel_id": "115258233"}, {"ref": "tugcebasyigit/predictingstudenttestscoreswithml", "kernel_id": "115887681"}, {"ref": "harshadpanchal/prediction-test-scores-competition2", "kernel_id": "117494257"}, {"ref": "panavawasthi/predicting-student-test-scores", "kernel_id": "117937364"}, {"ref": "mubashirulhassan00/predicting-student-test-scores-s6e1", "kernel_id": "119414820"}, {"ref": "basaktamer/predicting-student-test-scores", "kernel_id": "119164782"}, {"ref": "nshankarsai/matplotlib-code", "kernel_id": "121370296"}, {"ref": "birgulacar89/student-test-score-prediction", "kernel_id": "123049329"}, {"ref": "aaniruddha/s6e01", "kernel_id": "124518683"}, {"ref": "akashawan/student-score-prediction", "kernel_id": "124454897"}, {"ref": "tankharsh07/predicting-student-marks", "kernel_id": "124037333"}, {"ref": "mhskaya/student-test-score-predictor", "kernel_id": "124540494"}, {"ref": "khalilalbisri/notebooka5b0623695", "kernel_id": "124135399"}, {"ref": "miyazakihiromasa0816/notebook570dc7e220", "kernel_id": "124887473"}, {"ref": "yoheifujii/notebook45b0f49784", "kernel_id": "124887401"}, {"ref": "nina2025/ps-s6e1-micromodel-3-n-split-5-10-15-saved", "kernel_id": "125247734"}, {"ref": "nina2025/ps-s6e1-micromodel-4-setup-h-blend-with-oof", "kernel_id": "125249438"}, {"ref": "yumikusumoto/notebook45b0f49784", "kernel_id": "125849375"}, {"ref": "miyazakihiromasa0816/notebook45b0f49784", "kernel_id": "125779821"}, {"ref": "hiro6126370028/notebook305b75a8b5", "kernel_id": "125618061"}, {"ref": "abeshuta/notebook849c25718c", "kernel_id": "125823158"}, {"ref": "hiro6126370028/notebook45b0f49784", "kernel_id": "126564891"}, {"ref": "bobbybrandy/predicting-student-score", "kernel_id": "126678280"}, {"ref": "yumikusumoto/notebook0d8676333b", "kernel_id": "128452482"}, {"ref": "miyazakihiromasa0816/notebookc7bac9f2ac", "kernel_id": "128452054"}, {"ref": "ishuray/predicting-student-test-score", "kernel_id": "129580246"}, {"ref": "zqx960151285/predicting-student-test-scores", "kernel_id": "129255675"}, {"ref": "viktor1606/predicting-student-test-scores", "kernel_id": "130722764"}]}
{"competition_id": "119083", "kernels": [{"ref": "lakhindarpal/cyber-physical-anomaly-detection-for-der-systems", "kernel_id": "111104810"}, {"ref": "astroairafar/cyber-physical-anomaly-detection-for-der-systems", "kernel_id": "112829235"}, {"ref": "adwaittagalpallewar/cyber-physical-anomaly-detection-baseline-xgb", "kernel_id": "112506592"}, {"ref": "alvaroborras/anomaly-detection-cyber-der-final-submission", "kernel_id": "114224766"}, {"ref": "edonisraci/catboost-per-device-models-lgb-blend", "kernel_id": "114714104"}]}
{"competition_id": "119084", "kernels": [{"ref": "lucascostafuganti/codsubmissaomindados", "kernel_id": "100772492"}]}
{"competition_id": "119106", "kernels": [{"ref": "inversion/santa-2025-getting-started", "kernel_id": "97759881"}, {"ref": "skyeloitz/arc-submission", "kernel_id": "97660269"}, {"ref": "hengck23/from-powerpoint-to-tree", "kernel_id": "101452906"}, {"ref": "zaburo/88-32999-a-well-aligned-initial-solution", "kernel_id": "101081684"}, {"ref": "dexhunter/85-25-neon-tree-visualizer-with-optimizer", "kernel_id": "101897624"}, {"ref": "seshurajup/71-78-jit-parallel-sa-c-tpu-96-cores", "kernel_id": "101136022"}, {"ref": "kumarandatascientist/86-59-neon-tree-visualizer", "kernel_id": "101380636"}, {"ref": "dwchen/santa2025-simulated-annealing", "kernel_id": "101200863"}, {"ref": "egortrushin/santa25-translation-of-small-n-solutions", "kernel_id": "101598898"}, {"ref": "egortrushin/santa25-fractional-translation-of-solutions", "kernel_id": "101819949"}, {"ref": "jazivxt/why-not", "kernel_id": "101854782"}, {"ref": "stpeteishii/santa-2d-packing-auto-manual-arrangement", "kernel_id": "101235125"}, {"ref": "stpeteishii/santa-visualize-submissions", "kernel_id": "101424611"}, {"ref": "mpwolke/smallest-size-to-win-a-prize-1-200-xmas-trees", "kernel_id": "101056374"}, {"ref": "dedquoc/santa-2025-ctpc-deterministic-tiling", "kernel_id": "101239410"}, {"ref": "cid007/santa-concise-bl", "kernel_id": "101306822"}, {"ref": "bio4eta/problem-overview", "kernel_id": "101545895"}, {"ref": "teddy0/interactive-christmas-tree-packing-sandbox", "kernel_id": "101661067"}, {"ref": "argon1215/86-08-exp-annealing-hybrid", "kernel_id": "101288527"}, {"ref": "takaito/santa-2025-web-tool-for-manually-placing-trees", "kernel_id": "101901654"}, {"ref": "crodoc/87-38-hybrid-optimization-strategy", "kernel_id": "101088469"}, {"ref": "crodoc/85-25-neon-tree-visualizer-with-optimizer", "kernel_id": "101315233"}, {"ref": "crodoc/74-75-backpacking-christmas-trees", "kernel_id": "101914739"}, {"ref": "jocelyndumlao/christmas-tree-optimization-and-visualization", "kernel_id": "101166552"}, {"ref": "hanifnoerrofiq/baseline-code-for-submission", "kernel_id": "101105660"}, {"ref": "sacuscreed/santa-2025-solutions-refinement", "kernel_id": "101087738"}, {"ref": "itsyoursumit/santa-2025-getting-started", "kernel_id": "101374139"}, {"ref": "karltonkxb/santa-2025-second-try", "kernel_id": "101075901"}, {"ref": "karltonkxb/santa-2025-third-try-with-visual-trees", "kernel_id": "101084472"}, {"ref": "adityapawar327/santa-2025-christmas-tree-packing-challenge-v1", "kernel_id": "101563151"}, {"ref": "lwolwo/santa-s-tree-farm-because-chaos-isn-t-festive", "kernel_id": "101291664"}, {"ref": "muhammadibrahim3093/ensembling-santa-2025", "kernel_id": "101713113"}, {"ref": "ichigoe/fast-c-solution-in-jupyter-lb-83-031", "kernel_id": "101913514"}, {"ref": "armanzhalgasbayev/ctpc-extra-trees-handling-santa-2025", "kernel_id": "101258934"}, {"ref": "guntasdhanjal/santa-2025-simple-optimization-fork", "kernel_id": "101886496"}, {"ref": "romanfpv/rl-model", "kernel_id": "101081060"}, {"ref": "koushikkumardinda/santa-2025-christmas-tree-packing-challenge", "kernel_id": "101109473"}, {"ref": "divishjindal09/christmas-santa-divish-jindal", "kernel_id": "101265298"}, {"ref": "husnind/hybrid-tree-packing-solver-first-try", "kernel_id": "101463138"}, {"ref": "hwkims/fork-of-exp-annealing-hybrid", "kernel_id": "101422988"}, {"ref": "hwkims/fork-of-fork-of-exp-annealing-hybrid", "kernel_id": "101423592"}, {"ref": "hunhdavid/santa2025-competition", "kernel_id": "101647998"}, {"ref": "alekhyanaidupasam/submission-csv", "kernel_id": "101334202"}, {"ref": "mitudru/santa-2025-packing-challenge", "kernel_id": "101426374"}, {"ref": "zorornoa/christmas-tree-package", "kernel_id": "101230414"}, {"ref": "dimpalyadav29/santa-2025", "kernel_id": "101467100"}, {"ref": "hmnshudhmn24/santa-2025-christmas-tree-packing-challenge", "kernel_id": "101862285"}, {"ref": "girrajjangid/santa-2025-advanced-tree-packing", "kernel_id": "101916076"}, {"ref": "nocarbonintelligence/santa-2025-tilingmultistartsa-strtree", "kernel_id": "101862157"}, {"ref": "nocarbonintelligence/santa-baseline-rectangle", "kernel_id": "101797278"}, {"ref": "adrienthomas/notebook6ac7259a65", "kernel_id": "101352183"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "mhizdhii/greedy-high-precision-tree-packing-algorithm", "kernel_id": "101883345"}, {"ref": "beyzatopbas/santa-2025-challenge", "kernel_id": "101488871"}, {"ref": "beyzatopbas/santa-2025-challenge-2", "kernel_id": "101619455"}, {"ref": "noushuali/notebookddef25b6b4", "kernel_id": "101466964"}, {"ref": "ashishrajput9/santa-2025-getting-started", "kernel_id": "101399312"}, {"ref": "chiragkandpal/frosty-s-fast-packer", "kernel_id": "101118654"}, {"ref": "chiragkandpal/frosty-s-santa-packer", "kernel_id": "101120214"}, {"ref": "princerayamwar/christmas-tree-minimal-space-packin", "kernel_id": "101448318"}, {"ref": "hengck23/gemini3-packing", "kernel_id": "102403278"}, {"ref": "chistyakov/santa-2025-fix-direction", "kernel_id": "102325721"}, {"ref": "chistyakov/santa-2025-simple-optimization-new-slow-version", "kernel_id": "102337075"}, {"ref": "stajdi/santa-claude-tree-packer-claude", "kernel_id": "102262359"}, {"ref": "cdeotte/compare-two-public-notebooks", "kernel_id": "102718221"}, {"ref": "cdeotte/visualize-best-public-notebooks", "kernel_id": "102641226"}, {"ref": "egortrushin/santa25-simulated-annealing-with-translations", "kernel_id": "102464038"}, {"ref": "alexsch86/santa-2025-my-starter-solution", "kernel_id": "102320446"}, {"ref": "jaeyunlee/santa-2025-just-do", "kernel_id": "102298171"}, {"ref": "saspav/santa-submission", "kernel_id": "102873391"}, {"ref": "smartmanoj/santa-claude", "kernel_id": "102204526"}, {"ref": "seowoohyeon/santa2025-ver2", "kernel_id": "102618857"}, {"ref": "sacuscreed/my-simulated-annealing-with-translations", "kernel_id": "102678777"}, {"ref": "amitkumargope/santa-2025-christmas-tree-challenge", "kernel_id": "102341480"}, {"ref": "sohonsagarsingha/santa-is-packing", "kernel_id": "102467107"}, {"ref": "fuxiangting/santa25-ensemble-sa-fractional-translation", "kernel_id": "102853297"}, {"ref": "ellipticaloranges/keep-on-pushing", "kernel_id": "102097967"}, {"ref": "frederickvlee/santa-golf", "kernel_id": "102197120"}, {"ref": "pikaaa/santaclaude-ka-tree", "kernel_id": "102237863"}, {"ref": "guntasdhanjal/santa-2025-simple-optimization", "kernel_id": "102790629"}, {"ref": "guntasdhanjal/santa-2025-simple-optimization-trick-fork", "kernel_id": "102672050"}, {"ref": "guntasdhanjal/simple-but-long-running-optimization-fork", "kernel_id": "102434190"}, {"ref": "eyestrain/blending-multiple-oplimisation", "kernel_id": "102716782"}, {"ref": "n09nikhil/jingle-bells-jingle-bells", "kernel_id": "102274476"}, {"ref": "qacenn/blending-blending-ble", "kernel_id": "102707846"}, {"ref": "hemabhatt/retail-demand-forecasting-for-a-multi-store-chain", "kernel_id": "102467453"}, {"ref": "tonylica/santa-2025-quick-ensemble", "kernel_id": "102118774"}, {"ref": "husnind/hybrid-tree-solver-baseline", "kernel_id": "102141398"}, {"ref": "husnind/hybrid-tree-packing-solver-2nd-try", "kernel_id": "102123036"}, {"ref": "meyupy/santa25-solutions-optimization-visualization", "kernel_id": "102454610"}, {"ref": "deeplumiere/santa-2025-sa", "kernel_id": "102773264"}, {"ref": "rakesh630/christmas-tree-packing-challenge", "kernel_id": "102798491"}, {"ref": "worenne/notebooke9385b7a99", "kernel_id": "102648620"}, {"ref": "nocarbonintelligence/santa-tree-optimizer", "kernel_id": "102725273"}, {"ref": "asyaaatru/christmas-tree-tetris", "kernel_id": "102225617"}, {"ref": "unknown2007/santa-christmas-tree", "kernel_id": "102709605"}, {"ref": "sharifobaidullah/santa-2025-christmas-tree-packing", "kernel_id": "102090031"}, {"ref": "gssreshta/santa-2025-vffgbbn", "kernel_id": "102226271"}, {"ref": "shauryyadav0072/notebooka5e68bbf14", "kernel_id": "102448591"}, {"ref": "akashbethe/santa-tree-packing-beginner-to-pro", "kernel_id": "102262187"}, {"ref": "akashbethe/santa-2025-tree-packing-simple-effective-basel", "kernel_id": "102863480"}, {"ref": "monicapesala/santa-2025-greedy-baseline", "kernel_id": "102897085"}, {"ref": "tvmilitary/santa-2025-starter-tree-packing-baseline", "kernel_id": "102736860"}, {"ref": "buianhthu00/santa-2025-christmas-tree-packing-sa", "kernel_id": "102763991"}, {"ref": "datafad/do-we-want-bronze-filled-with-last-24hr-submits", "kernel_id": "103612128"}, {"ref": "datafad/post-completion-better-scores", "kernel_id": "103676873"}, {"ref": "datafad/santa-2025-simple-slow-optimization", "kernel_id": "103772463"}, {"ref": "include4eto/parralel-simulated-annealing-in-c-w-warmstart", "kernel_id": "103471203"}, {"ref": "egortrushin/santa25-improved-sa-with-translations", "kernel_id": "103557812"}, {"ref": "jazivxt/eazy-optimizer", "kernel_id": "103073075"}, {"ref": "jazivxt/gemini-vibe-code-pygame", "kernel_id": "103232496"}, {"ref": "kmmmvs/fork-of-ffffffork-of-blending-multip-1e264d", "kernel_id": "103816377"}, {"ref": "atshimamura/santa-2025-getting-started", "kernel_id": "103379608"}, {"ref": "smartmanoj/vcpu-check", "kernel_id": "103144155"}, {"ref": "octaviograu/santa-2025-best-submission", "kernel_id": "103781854"}, {"ref": "sacuscreed/my-simulated-annealing-with-translations-columns", "kernel_id": "103107302"}, {"ref": "sacuscreed/santa-2025-solutions-guided-refinement", "kernel_id": "103320839"}, {"ref": "alexredna/santa-2025-simple-optimization-new-slow-version", "kernel_id": "103208473"}, {"ref": "kirillkuklin/santa-2025-tree-packaging-ga", "kernel_id": "103783781"}, {"ref": "xyzeys/baseline-greedy-v1", "kernel_id": "103935996"}, {"ref": "sahilmurhekar/santa-2025-approach-3-cpp", "kernel_id": "103450365"}, {"ref": "guntasdhanjal/santa-2025-simple-optimization-v2", "kernel_id": "103735965"}, {"ref": "guntasdhanjal/fork-of-santa-2025-simple-optimization", "kernel_id": "103154157"}, {"ref": "kanakos/santa2025-1205", "kernel_id": "103426607"}, {"ref": "sapaharamvishnusingh/santa-2025-christmas-tree-packing-challenge-2", "kernel_id": "103303923"}, {"ref": "jakkkc/santa2025-incremental-squashing-as-a-final-pass", "kernel_id": "103112466"}, {"ref": "muhammaddanyalmalik/shrinking-santa-s-box-greedy-tree-packing", "kernel_id": "103774029"}, {"ref": "krishnayadav456wrsty/santa-2025-christmas", "kernel_id": "103558172"}, {"ref": "snopllm/notebook115e8104de", "kernel_id": "103237108"}, {"ref": "roshaw/santa2025-just-keep-on-trying", "kernel_id": "103600098"}, {"ref": "roshaw/santa25-improved-sa-with-translations", "kernel_id": "103694486"}, {"ref": "cigarzon/santa-2025-getting-started", "kernel_id": "103094542"}, {"ref": "ladiposamson/santa-2025", "kernel_id": "103145436"}, {"ref": "jurgenpaulwesterveld/super-santa-prepacker-optimizer", "kernel_id": "103777807"}, {"ref": "rajvelpula/santa-2025", "kernel_id": "103436489"}, {"ref": "tanmayjain1515/santa-2025-prediction", "kernel_id": "103657234"}, {"ref": "mohamednadeemafzal/santa-2025-get-ready-start", "kernel_id": "103464493"}, {"ref": "ashishrajput9/santa-2025-fix-direction", "kernel_id": "103399536"}, {"ref": "ashishrajput9/fractional-translation-optimizer-fork", "kernel_id": "103436606"}, {"ref": "akashbethe/santa-2025-ml-notebook", "kernel_id": "103080852"}, {"ref": "raviganjir/notebook1b6e2a5de7", "kernel_id": "103857805"}, {"ref": "ethanrivera1/santa-2025-11-30-2025", "kernel_id": "103006716"}, {"ref": "ethanrivera1/santa-2025-11-30-2025-v2", "kernel_id": "103009642"}, {"ref": "ethanrivera1/santa-2025-12-1-2025", "kernel_id": "103109419"}, {"ref": "mansoonseason77/santa25-deck-the-halls-with-genetic-algorithm", "kernel_id": "104288192"}, {"ref": "mexwell/tree-packing-optimization", "kernel_id": "104777257"}, {"ref": "mexwell/santa-2025-christmas-tree-packing-solution", "kernel_id": "104789533"}, {"ref": "handeakn/santa25-deep-reinforcement-learning-ppo-cnn", "kernel_id": "104524011"}, {"ref": "yasunorim/golden-spiral-optimization-with-enhanced-sa", "kernel_id": "104519875"}, {"ref": "sacuscreed/santa2025-solutions-guided-refinement", "kernel_id": "104451432"}, {"ref": "yongsukprasertsuk/santa-2025-best-keeping-bbox3-runner", "kernel_id": "104452734"}, {"ref": "errajanikantawasthi/rkawasthi-santa", "kernel_id": "104242859"}, {"ref": "blueshyy/santa-2025-ensemble-sa-greedy-backtracking-tes", "kernel_id": "104499626"}, {"ref": "fra150/santa-2025-final-code", "kernel_id": "104894402"}, {"ref": "niladri2005/notebooke4c6201680", "kernel_id": "104721914"}, {"ref": "khushikyad001/santa-tree-packing-visualization", "kernel_id": "104669187"}, {"ref": "koikerintokaggle/santa-2025-plot", "kernel_id": "104428809"}, {"ref": "anshahluwalia14/santa-2025-christmas-tree-packing-challenge", "kernel_id": "104947701"}, {"ref": "samarakurami/santa-2025-tree", "kernel_id": "104113197"}, {"ref": "nanireddypinninti14/santa-solution", "kernel_id": "104791176"}, {"ref": "jiweiliu/super-fast-simulated-annealing-with-translations", "kernel_id": "105002960"}, {"ref": "chistyakov/sa-on-metamodel-from-2-blocks-88-trees", "kernel_id": "105959961"}, {"ref": "chistyakov/sa-on-metamodel-from-2-blocks-180-trees", "kernel_id": "105926803"}, {"ref": "chistyakov/sa-on-metamodel-from-2-blocks-182-trees", "kernel_id": "105874519"}, {"ref": "chistyakov/shake-shake-shake", "kernel_id": "105837559"}, {"ref": "chistyakov/simple-fix-rebuild-large-layout-from-corners", "kernel_id": "105726386"}, {"ref": "datafad/new-year-same-old-bbox", "kernel_id": "105976539"}, {"ref": "datafad/dumb-approach", "kernel_id": "105866961"}, {"ref": "datafad/a-bit-better", "kernel_id": "105603914"}, {"ref": "datafad/run-till-better", "kernel_id": "105797302"}, {"ref": "datafad/almost-christmas", "kernel_id": "105040318"}, {"ref": "datafad/ho-ho-ho", "kernel_id": "105069429"}, {"ref": "datafad/the-boxes-shrunk", "kernel_id": "105078080"}, {"ref": "datafad/merry-christmas", "kernel_id": "105377835"}, {"ref": "datafad/jolly-christmas", "kernel_id": "105280382"}, {"ref": "dgawlik/a-simple-way-of-computing-no-fit-polygon", "kernel_id": "105641823"}, {"ref": "shams1/santa2", "kernel_id": "105893774"}, {"ref": "hvanphucs112/santa2025-hello", "kernel_id": "105236993"}, {"ref": "handeakn/santa25-heuristic-deep-reinforcement-learning", "kernel_id": "105963100"}, {"ref": "smartmanoj/santa-packing-gpu-accelerated-simulated-anneal", "kernel_id": "105812182"}, {"ref": "smartmanoj/santa-claude-single-group-optimizer", "kernel_id": "105483058"}, {"ref": "smartmanoj/santa-2025-quick-ensemble", "kernel_id": "105515296"}, {"ref": "josephnehrenz/santa-2025-ray-cast-deep-shiver-tree-packing", "kernel_id": "105744451"}, {"ref": "josephnehrenz/santa-2025-cartesian-shell-solver", "kernel_id": "105921084"}, {"ref": "rishabhbhartiya/santa-2025", "kernel_id": "105927422"}, {"ref": "anantpandey29/santa-2025-ho-ho-holdout", "kernel_id": "105832842"}, {"ref": "itsyoursumit/santa-claude-single-group-optimizer-subm1", "kernel_id": "105518015"}, {"ref": "itsyoursumit/santa-claude-single-group-optimizer", "kernel_id": "105517634"}, {"ref": "kaibaur/staggered-grid", "kernel_id": "105600088"}, {"ref": "kaibaur/santa-2d-demention", "kernel_id": "105598488"}, {"ref": "kaibaur/santa-1d-demention", "kernel_id": "105596702"}, {"ref": "abhinavsharma0706/santa-25", "kernel_id": "105546926"}, {"ref": "mr0106/santa-2025", "kernel_id": "105005977"}, {"ref": "marylka/x-mas-trees-packing-greedy-heuristics", "kernel_id": "105138707"}, {"ref": "sasaleaf/breaking-the-staircase-where-can-we-improve", "kernel_id": "105762974"}, {"ref": "yash9439/final-santa-final-sub", "kernel_id": "105274002"}, {"ref": "yongsukprasertsuk/santa2025-bbox-optimization", "kernel_id": "105066967"}, {"ref": "zhangtengfei02/a-bit-better-the-best-open-source-result-for-date", "kernel_id": "105822382"}, {"ref": "abhishekgodara/santa-s-tree-packing-score", "kernel_id": "105718101"}, {"ref": "abhishekgodara/santa-submission-happy-new-year", "kernel_id": "105986212"}, {"ref": "kaushikjonas/santa", "kernel_id": "105389529"}, {"ref": "abukanabek/good-submission-visualization", "kernel_id": "105270703"}, {"ref": "alperenaslann/santa-hohoho", "kernel_id": "105223660"}, {"ref": "alperenaslann/santa-claude-v2", "kernel_id": "105216911"}, {"ref": "alperenaslann/santa-s-gravity-packer-numba-scipy", "kernel_id": "105394560"}, {"ref": "alperenaslann/happy-christmas-v2", "kernel_id": "105318416"}, {"ref": "alperenaslann/santa-2025-christmas-gift", "kernel_id": "105299615"}, {"ref": "skarin/when-lattices-go-hard-fast-tree-packing", "kernel_id": "105515450"}, {"ref": "skarin/holiday-tree-lattice-overlap-free", "kernel_id": "105530913"}, {"ref": "skarin/the-north-pole-tree-tribunal", "kernel_id": "105592061"}, {"ref": "nctuan/happy-christmas", "kernel_id": "105185668"}, {"ref": "nctuan/gui-html-for-santa-challenge", "kernel_id": "105150825"}, {"ref": "rafifariqrabbani/alns-for-christmas-tree-packing", "kernel_id": "105984937"}, {"ref": "camurberkayy/santa-packing-gpu-accelerated-simulated-anneal", "kernel_id": "105776446"}, {"ref": "satyamprakashpandey/christmas-tree-packing-challenge", "kernel_id": "105128975"}, {"ref": "roshaw/the-boxes-shrunk-more", "kernel_id": "105099103"}, {"ref": "roshaw/final-week", "kernel_id": "105155404"}, {"ref": "roshaw/christmas-spirit", "kernel_id": "105178176"}, {"ref": "roshaw/new-year-same-old-bbox", "kernel_id": "105985149"}, {"ref": "anujjakhar2104/santa-1-overlaps", "kernel_id": "105929141"}, {"ref": "anhadmahajan06/santa-2025-aggressive-gpu-annealer", "kernel_id": "105164171"}, {"ref": "anhadmahajan06/santa-2025-christmas-tree-packing-challenge", "kernel_id": "105094740"}, {"ref": "opencv411/final-final-final-try", "kernel_id": "105187434"}, {"ref": "opencv411/santa-final-final-sub", "kernel_id": "105074523"}, {"ref": "opencv411/santa-final-sub", "kernel_id": "105057966"}, {"ref": "opencv411/a-new-try-santa", "kernel_id": "105039756"}, {"ref": "opencv411/santa-submission", "kernel_id": "105031510"}, {"ref": "anantkumar02/santa-2025-getting-started", "kernel_id": "105421307"}, {"ref": "zwxiang123/santa-2025-christmas-tree-packing-challenge", "kernel_id": "105043057"}, {"ref": "sonu07022005/paking-with-diff-diff-method", "kernel_id": "105514475"}, {"ref": "accelra/christmas-week", "kernel_id": "105182892"}, {"ref": "buianhthu00/santa2025-the-multiple", "kernel_id": "105491316"}, {"ref": "habedi/a-solution-optimizer-in-zig", "kernel_id": "106282813"}, {"ref": "brianedwards/santa-2025-tree-packing-with-claude-code", "kernel_id": "106167760"}, {"ref": "chistyakov/sa-on-metamodel-from-2-blocks-132-trees", "kernel_id": "106112544"}, {"ref": "chistyakov/new-simple-fix-rebuild-large-layout-general", "kernel_id": "106201213"}, {"ref": "chistyakov/new-simple-fix-rebuild-large-layout-from-corners", "kernel_id": "106361937"}, {"ref": "artemevstafyev/accelerated-sa-on-2-blocks-177-trees", "kernel_id": "106334221"}, {"ref": "datafad/a-single-group-optimizer-by-manoj", "kernel_id": "106176691"}, {"ref": "jazivxt/team-optimization-template", "kernel_id": "106262624"}, {"ref": "aikhmelnytskyy/manual-tree-shifter-and-checker-sa", "kernel_id": "106205032"}, {"ref": "ymuroya47/santa2025-bbox3-v2", "kernel_id": "106059833"}, {"ref": "smartmanoj/sa-on-metamodel-from-2-blocks-194-trees", "kernel_id": "106026563"}, {"ref": "xabirhasan/new-year-same-old-bbox", "kernel_id": "106005452"}, {"ref": "learnmore1/santa-subs-agg-score-track-visual-diagnostics", "kernel_id": "106680309"}, {"ref": "learnmore1/anneal-for-santa-packing-multi-try-sa-squeeze", "kernel_id": "106716930"}, {"ref": "tanakaai24/santa-auto-copy-001", "kernel_id": "106542633"}, {"ref": "tanakaai24/santa-auto-copy-1767938013", "kernel_id": "106544692"}, {"ref": "tanakaai24/santa-auto-copy-001-1768047123", "kernel_id": "106638568"}, {"ref": "asadalikhan92/santa-fast-efficient", "kernel_id": "106319305"}, {"ref": "emanafi/santa-2025-challenge", "kernel_id": "106993992"}, {"ref": "mpb1807/pytorch-accelerated-collision-checking", "kernel_id": "106339886"}, {"ref": "mohamedwaleed13/christmas-tree-packing-notebook", "kernel_id": "106679034"}, {"ref": "fuxiangting/intergration-of-existing-result-current-bes-4ecdd5", "kernel_id": "106875937"}, {"ref": "abhinavsharma0706/santa-25-02", "kernel_id": "106195463"}, {"ref": "agneskantony/santa-2025-christmas-tree-packing-challenge", "kernel_id": "106164199"}, {"ref": "zhangtengfei02/a-super-simple-improvement-strategy", "kernel_id": "106199494"}, {"ref": "zhangtengfei02/intergration-of-existing-result-current-best", "kernel_id": "106182970"}, {"ref": "kanakos/santa2025-sa-0114", "kernel_id": "106849029"}, {"ref": "adegbaju/christmas-tree-packing-solver", "kernel_id": "106050844"}, {"ref": "abhishekgodara/fork-of-santa-submission-happy-new-year", "kernel_id": "106046227"}, {"ref": "daniil1423/20-minute-bbox3-optimizer", "kernel_id": "106524840"}, {"ref": "daniil1423/a-bit-better-public", "kernel_id": "106476661"}, {"ref": "daniil1423/santa-2025-full-public-best-score", "kernel_id": "106401633"}, {"ref": "kaushikjonas/santa01", "kernel_id": "106219539"}, {"ref": "hsynkskn/notebook01773eb4dc", "kernel_id": "106782009"}, {"ref": "blueshyy/adaptive-sa", "kernel_id": "106270669"}, {"ref": "nikitakuznetsof/the-boxes-shrunk-5a94e5", "kernel_id": "106894922"}, {"ref": "marwanashref/the-others", "kernel_id": "106670708"}, {"ref": "wanglinhao/the-boxes-shrunk", "kernel_id": "106927218"}, {"ref": "camurberkayy/santa-2025-chaos-optimizer-c-openmp", "kernel_id": "106559613"}, {"ref": "avikdas567/santa-2025-christmas-tree-packing-challenge", "kernel_id": "106728296"}, {"ref": "anujjakhar2104/santa-tree-packing", "kernel_id": "106170871"}, {"ref": "hweowe/santa-submission-e3bd01", "kernel_id": "106468422"}, {"ref": "hweowe/why-not-fbb368", "kernel_id": "106569329"}, {"ref": "samyakrajbayar/squeezing-bbox-solution-ae79b8", "kernel_id": "106594205"}, {"ref": "samyakrajbayar/santa-submission-5db67f", "kernel_id": "106594246"}, {"ref": "samyakrajbayar/simulated-annealing-manual-fun-tree-mover", "kernel_id": "106581326"}, {"ref": "samyakrajbayar/help-again", "kernel_id": "106615766"}, {"ref": "samyakrajbayar/santa-santa", "kernel_id": "106655681"}, {"ref": "samyakrajbayar/santa-submission-once-more", "kernel_id": "106644237"}, {"ref": "samyakrajbayar/santa-submission-33", "kernel_id": "106755624"}, {"ref": "samyakrajbayar/single-group-o", "kernel_id": "106755659"}, {"ref": "samyakrajbayar/fork-of-santa-submission", "kernel_id": "106755691"}, {"ref": "samyakrajbayar/simulated-santa-kaggle", "kernel_id": "106681248"}, {"ref": "samyakrajbayar/santa-submission-b", "kernel_id": "106717011"}, {"ref": "samyakrajbayar/santa-santa-3", "kernel_id": "106710744"}, {"ref": "samyakrajbayar/santa-santa-2", "kernel_id": "106710707"}, {"ref": "samyakrajbayar/santa-submission-658246", "kernel_id": "106517422"}, {"ref": "samyakrajbayar/santa-try-2", "kernel_id": "106896146"}, {"ref": "samyakrajbayar/why-not-2", "kernel_id": "106903490"}, {"ref": "samyakrajbayar/santa-packing-777", "kernel_id": "106879953"}, {"ref": "samyakrajbayar/santa-submission-011", "kernel_id": "106959506"}, {"ref": "samyakrajbayar/manual-tree-shifter-and-checker-sa", "kernel_id": "106959537"}, {"ref": "samyakrajbayar/new-simple-fix", "kernel_id": "106815178"}, {"ref": "samyakrajbayar/simulated-annealing-2", "kernel_id": "106814372"}, {"ref": "samyakrajbayar/santa-submission-22000", "kernel_id": "106825792"}, {"ref": "igorpawicki/belated-christmas-letter-to-santa", "kernel_id": "106909835"}, {"ref": "daniilkrizhanovskyi/new-year-same-old-bbox", "kernel_id": "106011435"}, {"ref": "rohitkumarsity/notebooke3bd60a238rohit", "kernel_id": "106031836"}, {"ref": "abdulwahab2321/intergration-of-existing-result-current-best", "kernel_id": "106199363"}, {"ref": "gungunbalmiki/notebook5bc2cdd937", "kernel_id": "106186391"}, {"ref": "aayushrivastava/santa-claus", "kernel_id": "106559861"}, {"ref": "aayushrivastava/notebookfd5eaa84a5", "kernel_id": "106374774"}, {"ref": "shraddhasingh555/notebookccfdbb73ef", "kernel_id": "106722695"}, {"ref": "shraddhasingh555/notebookee6ac0e576", "kernel_id": "106613843"}, {"ref": "shraddhasingh555/notebookde71716c55", "kernel_id": "106616112"}, {"ref": "artemevstafyev/merge-and-optimise", "kernel_id": "107615586"}, {"ref": "artemevstafyev/tree-layout-from-image", "kernel_id": "107564237"}, {"ref": "artemevstafyev/dense-block-approach", "kernel_id": "107545078"}, {"ref": "datafad/fork-of-the-fork", "kernel_id": "107645348"}, {"ref": "datafad/bbox-basic", "kernel_id": "107555706"}, {"ref": "kirkdco/kmer-aspect-ratio-survey", "kernel_id": "107163746"}, {"ref": "pcjimmmy/3d-a-tree", "kernel_id": "107861051"}, {"ref": "snnclsr/santa-tree-challenge", "kernel_id": "107156884"}, {"ref": "nicupetridean/fast-simulated-annealing-cpp-version", "kernel_id": "107381244"}, {"ref": "hvanphucs112/bbox3-ensemble-update", "kernel_id": "107235567"}, {"ref": "hossam82/santa-best-score", "kernel_id": "107459328"}, {"ref": "hossam82/santa-inside-box", "kernel_id": "107562184"}, {"ref": "hossam82/guess-score", "kernel_id": "107265785"}, {"ref": "hossam82/santa-tree-high-score-v1", "kernel_id": "107269075"}, {"ref": "hossam82/eazy-optimizer", "kernel_id": "107219420"}, {"ref": "hossam82/fork-of-santa-submission-bbox3", "kernel_id": "107163517"}, {"ref": "hossam82/santa-tree-challenge", "kernel_id": "107158917"}, {"ref": "hossam82/santa-claude-single-group-optimizer", "kernel_id": "107197336"}, {"ref": "hossam82/santa-2025", "kernel_id": "107125798"}, {"ref": "hossam82/santa-submission-bbox3", "kernel_id": "107128967"}, {"ref": "jazivxt/team-optimization-blend", "kernel_id": "107565006"}, {"ref": "jazivxt/teamwork-dreamwork", "kernel_id": "107416921"}, {"ref": "ymuroya47/santa-2025-rotation-sweep-sa", "kernel_id": "107543957"}, {"ref": "ymuroya47/santa-2025-aggressive-sa-multi-seed", "kernel_id": "107544013"}, {"ref": "balabaskar/new-simple-fix-rebuild-large-layout-check-on-all", "kernel_id": "107647097"}, {"ref": "ivanblch/santa-2025-global-flip", "kernel_id": "107208153"}, {"ref": "smartmanoj/sparrow", "kernel_id": "107187141"}, {"ref": "xabirhasan/santa-submission-bbox3", "kernel_id": "107170248"}, {"ref": "hardikmakhija/the-dimer-blueprint-masterclass-in-non-convex-opt", "kernel_id": "107130593"}, {"ref": "hardikmakhija/dimer-blueprint", "kernel_id": "107131567"}, {"ref": "hardikmakhija/the-grandmaster-solver-dimer-lattice-edition", "kernel_id": "107132507"}, {"ref": "hardikmakhija/grandmaster-parallel-solver-visual-audit", "kernel_id": "107134644"}, {"ref": "hardikmakhija/the-tie-breaker-jiggle-solver-visual-audit", "kernel_id": "107270032"}, {"ref": "hardikmakhija/the-dimer-mosaic-solver", "kernel_id": "107264245"}, {"ref": "hardikmakhija/the-tinsel-tessellation-engine", "kernel_id": "107264961"}, {"ref": "hardikmakhija/the-dimer-mosaic-solver-2", "kernel_id": "107266757"}, {"ref": "hardikmakhija/precision-version-for-santa-christmas-packaging", "kernel_id": "107332132"}, {"ref": "tagirkhairutdinov/bronze-stable-bbox3-sweep-per-group-rotation", "kernel_id": "107508715"}, {"ref": "sacuscreed/sparrow", "kernel_id": "107192118"}, {"ref": "sandeepmnair/gradiant-descent-tree-solver", "kernel_id": "107513203"}, {"ref": "mr0106/santa-2025-balanced-optimal-solution", "kernel_id": "107264255"}, {"ref": "mr0106/santa-2025-guaranteed-collision-free-solution", "kernel_id": "107259588"}, {"ref": "mr0106/santa-2025-elite-championship-solution", "kernel_id": "107256049"}, {"ref": "mr0106/santa-2025-collision-free-solution", "kernel_id": "107254203"}, {"ref": "mr0106/santa-2025-ultimate-championship-solution", "kernel_id": "107225341"}, {"ref": "mr0106/santa-2025-championship-solution", "kernel_id": "107223232"}, {"ref": "sushanthegde/collision-free-christmas-tree-packing-with-shapely", "kernel_id": "107819157"}, {"ref": "abhishekgodara/fork-of-santa-tree-challenge", "kernel_id": "107578077"}, {"ref": "abhishekgodara/santa-tree-challenge", "kernel_id": "107074904"}, {"ref": "avinashkushawaha/christmas", "kernel_id": "107282872"}, {"ref": "nurikw3/lb-70-629-improved-baseline", "kernel_id": "107454027"}, {"ref": "nurikw3/lb-70-63-improved-santa", "kernel_id": "107431845"}, {"ref": "ashrafulhossenakash/70-7441-santa", "kernel_id": "107113199"}, {"ref": "ashrafulhossenakash/70-73432-santa", "kernel_id": "107221561"}, {"ref": "ashrafulhossenakash/70-6590-santa", "kernel_id": "107392666"}, {"ref": "ashrafulhossenakash/santa-70-6298", "kernel_id": "107454500"}, {"ref": "ashrafulhossenakash/70-659027-santa", "kernel_id": "107415600"}, {"ref": "ashrafulhossenakash/70-6588-santa", "kernel_id": "107416376"}, {"ref": "ashrafulhossenakash/score-70-6281", "kernel_id": "107429196"}, {"ref": "nikitakuznetsof/just-luck", "kernel_id": "107260122"}, {"ref": "ayodejiibrahimlateef/santa-2025-christmas-tree-packing-challenge", "kernel_id": "107218928"}, {"ref": "crazyguy666/santa-2025-getting-started", "kernel_id": "107668166"}, {"ref": "luorenli/santa-best-score-03c998", "kernel_id": "107574711"}, {"ref": "nirmal63077/nirmal-2025-optimal-polygon-packing-solution", "kernel_id": "107097521"}, {"ref": "harrisadnanqamar/santa-2025-challenge", "kernel_id": "107083966"}, {"ref": "shiva1mishra1/notebook33d5a81041", "kernel_id": "107414168"}, {"ref": "jiweiliu/initialize-n-from-n-1-with-buffer-zone-removal", "kernel_id": "108368335"}, {"ref": "kotomord/linear-programming-based-waaggghhh-optimizer", "kernel_id": "108635765"}, {"ref": "datafad/merge-public-final-submissions", "kernel_id": "108487335"}, {"ref": "datafad/post-completion-minor-improvements", "kernel_id": "108489564"}, {"ref": "datafad/ai-optimized-code-linked", "kernel_id": "108374483"}, {"ref": "asimandia/jeroen-cottaar-is-the-president-of-kaggle", "kernel_id": "108366015"}, {"ref": "tobimichigan/christmas-tree-packing-optimization-algorithm", "kernel_id": "108281216"}, {"ref": "elvenmonk/pure-grid", "kernel_id": "108570551"}, {"ref": "elvenmonk/merge-manager", "kernel_id": "108557091"}, {"ref": "elvenmonk/christmas-tetris", "kernel_id": "108583340"}, {"ref": "elvenmonk/4-leaf-clover", "kernel_id": "108585205"}, {"ref": "jbomitchell/s25-j-public-sources-only-blend", "kernel_id": "108363535"}, {"ref": "mygaps/ensemble-with-collision-resolver", "kernel_id": "108363394"}, {"ref": "hanifnoerrofiq/blend-em-all", "kernel_id": "108367434"}, {"ref": "jeroencottaar/santa-2025-1st-place-first-share", "kernel_id": "108353634"}, {"ref": "jeroencottaar/santa-2025-1st-place-solution", "kernel_id": "108398591"}, {"ref": "umuttuygurr/santa-umutt", "kernel_id": "108352747"}, {"ref": "vedikasd/santa-optimization-explained", "kernel_id": "108347602"}, {"ref": "alisalmanrana/fork-of-santa-2025", "kernel_id": "108397880"}, {"ref": "cnumber/santa-2025-2nd-place", "kernel_id": "109123013"}, {"ref": "jeroencottaar/santa-2025-compare-top-solutions", "kernel_id": "109188991"}, {"ref": "rupankarmajumdar/santa-2025-christmas-tree-packing", "kernel_id": "109549358"}, {"ref": "luohongye/santa-2025-getting-started", "kernel_id": "114154295"}, {"ref": "kosarhajnajafi/kosar-copy-santa-2025-getting-started", "kernel_id": "115975021"}, {"ref": "luohongye/12345", "kernel_id": "116288176"}]}
{"competition_id": "119171", "kernels": []}
{"competition_id": "119198", "kernels": [{"ref": "rubenfb/notebook-base", "kernel_id": "97301828"}, {"ref": "rubenfb/codigo-base", "kernel_id": "102092432"}]}
{"competition_id": "119203", "kernels": []}
{"competition_id": "119224", "kernels": []}
{"competition_id": "119260", "kernels": [{"ref": "haradibots/lets-doo", "kernel_id": "98465388"}, {"ref": "daosyduyminh/best-ml", "kernel_id": "99833611"}, {"ref": "lainnovic/epoch-1-3-hour-run", "kernel_id": "99265674"}]}
{"competition_id": "119261", "kernels": [{"ref": "paramatatharun/notebook67c824bc65", "kernel_id": "95500629"}, {"ref": "mpwolke/tt-tunix-on-tpu", "kernel_id": "99513106"}, {"ref": "p77091067/start-with-gemma3-1b-it-tutorial", "kernel_id": "99905374"}, {"ref": "itsyoursumit/tt-tunix-on-tpu", "kernel_id": "99747173"}, {"ref": "angelfencer/descriptive-and-solid-tt-tunix-on-tpu", "kernel_id": "99788709"}, {"ref": "danielwycoff/dsa-sft-grpo-nolora-tunix", "kernel_id": "99915373"}, {"ref": "rahulbunker/gt-hack-baseline-v1", "kernel_id": "99889298"}, {"ref": "maheenriaz1122/tt-tunix-on-tpu", "kernel_id": "99864621"}, {"ref": "mayanksharma1809/gemma-3-1b-fine-tune-with-tunix", "kernel_id": "99968231"}, {"ref": "mkcharan/tunix-hack-high-efficiency-reasoning-model", "kernel_id": "99963744"}, {"ref": "zaraakhtar/notebooka8d68d3fb8", "kernel_id": "99861477"}, {"ref": "jissmonbenny/notebookbb3b3586f3", "kernel_id": "99825528"}, {"ref": "luckyydv5252/google-tunix-hack-starter", "kernel_id": "99902606"}, {"ref": "junkikanamori/kut-omux-for-llm-google-tunix-hack", "kernel_id": "100374529"}, {"ref": "kamleshkumarpokharna/tunix-hack-winner-trajectory-level-reward-traini", "kernel_id": "100300888"}, {"ref": "hemanthreganti/tunix-hack-winner-trajectory-reward-training", "kernel_id": "100050197"}, {"ref": "yogeshwaran20051106/productivity-agent-project-2223", "kernel_id": "100413633"}, {"ref": "mahtabhajebi/gemma-reasoning-fine-tuning-for-transparent-ai", "kernel_id": "100912637"}, {"ref": "aayushrivastava/tt-tunix-on-tpu", "kernel_id": "100172915"}, {"ref": "aayushrivastava/google-tunix-hackathon", "kernel_id": "100425302"}, {"ref": "rjagadishwarreddy/gt-hack-final", "kernel_id": "100188849"}, {"ref": "martnferreira/tunix-rl-prototype", "kernel_id": "100087632"}, {"ref": "philipkd/full-save-run-of-grpo-demo-checkpointing", "kernel_id": "101592931"}, {"ref": "tiyabk/gemma3-1b-reasoning-fine-tuning-tunix-grpo-lora", "kernel_id": "101809652"}, {"ref": "paravant/tunix-hack", "kernel_id": "101056857"}, {"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "adrienthomas/hypercube-artificial-intelligence", "kernel_id": "101065886"}, {"ref": "ave7caesar/notebook0274ec70ed", "kernel_id": "101326366"}, {"ref": "gssreshta/notebook-dhdhndntpu", "kernel_id": "101917591"}, {"ref": "dhananjaykim/data-preparation-for-llm-fine-tuning-gemma-gsm8k", "kernel_id": "102211073"}, {"ref": "marculera/supervised-fine-tuning-full", "kernel_id": "102815422"}, {"ref": "saicherry/explainable-ai-using-grpo-gemma2-2b", "kernel_id": "102626046"}, {"ref": "pranavupadhyaya/grpo-tunix-gemma3-1b-2", "kernel_id": "102442594"}, {"ref": "harshithrevuru/grpo-tunix-hack", "kernel_id": "102820472"}, {"ref": "game123456/tunix-grpo-reasoning-tpu", "kernel_id": "102643740"}, {"ref": "ritesh17kumar/ritesh-notebook", "kernel_id": "102717155"}, {"ref": "oscaryezfeijo/tt-tunix-on-tpu", "kernel_id": "102268756"}, {"ref": "oscaryezfeijo/training-gemma-to-think", "kernel_id": "102271938"}, {"ref": "manish756/universal-reasoning-trainer-tunix-grpo", "kernel_id": "102750224"}, {"ref": "cascoopman99/making-gemma-2-think", "kernel_id": "102349592"}, {"ref": "aaghaazkhan/curegrpo-tunix-phase-1", "kernel_id": "102224912"}, {"ref": "mdarafat018790/google-tunix-by-md-arafat", "kernel_id": "102584824"}, {"ref": "khushbookatariauj/fine-tunning-llm", "kernel_id": "102902575"}, {"ref": "wonjunchoi7/google-tunix", "kernel_id": "102982824"}, {"ref": "ankitsaini23111973/notebook2c5f0cca27", "kernel_id": "102903169"}, {"ref": "piyushkhandhar/5-day-ai-agent-f-project", "kernel_id": "102539083"}, {"ref": "raheelshakeel/ai-reasoning-model", "kernel_id": "102456026"}, {"ref": "ashokmalav/google-tunix-hack-starter-gemma-tunix-6-cell-b", "kernel_id": "102945603"}, {"ref": "tvmilitary/google-tunix-hack-starter-gemma-tunix-6-cell-b", "kernel_id": "102550861"}, {"ref": "dysorder/google-tunix-hack-starter-gemma-tunix-6-cell-b", "kernel_id": "102779390"}, {"ref": "yekahaaagayeham/guide-gemma-3-fine-tuning-with-tunix", "kernel_id": "103536804"}, {"ref": "adityashukla1/notebook95064d3307", "kernel_id": "103407381"}, {"ref": "samerattrah/testing-grpo-testing-gemma3-1b", "kernel_id": "103408238"}, {"ref": "chaitanyaafle/google-tunix-hackathon-notebook-single-session", "kernel_id": "103682172"}, {"ref": "sabarnopramanick/tunix-hackathon-bysabarno", "kernel_id": "103577967"}, {"ref": "kagglesvij24/google-tunix-hack-train-a-model-to-show-its-work", "kernel_id": "103264232"}, {"ref": "wizayush/google-tunix-hack-starter-gemma-tunix-6-cell-b", "kernel_id": "103735199"}, {"ref": "snp244/tunix1", "kernel_id": "103149551"}, {"ref": "richardvanwinkle/thws-nlp-rip", "kernel_id": "103194351"}, {"ref": "riishilmmehta/notebook69efafb937", "kernel_id": "103054003"}, {"ref": "beemayy/supervised-fine-tuning-full", "kernel_id": "103373537"}, {"ref": "beemayy/ritesh-notebook", "kernel_id": "103374198"}, {"ref": "ashokmalav/notebook51e63fde58", "kernel_id": "103038218"}, {"ref": "kamalkraj/tunix-error", "kernel_id": "104426693"}, {"ref": "dedquoc/gth-enhancing-gemma-reasoning-with-grpo", "kernel_id": "104505664"}, {"ref": "fernandosr85/gemma-2b-self-critiquing-grpo-for-reasoning", "kernel_id": "104290982"}, {"ref": "vidyaoff2021/tunixtest-tpu", "kernel_id": "104337860"}, {"ref": "kondwaninyirenda009/teaching-gemma-to-show-its-work-with-tunix", "kernel_id": "104608054"}, {"ref": "xreina8/tunix-grpo-gemma-math-reasoning", "kernel_id": "104542267"}, {"ref": "kevinbnisch/gemma2-deep-incentivizing-gemma-to-reason", "kernel_id": "104958180"}, {"ref": "zimkey/tunix-ultra-conservative", "kernel_id": "104574184"}, {"ref": "tomaszslapczynski/tunixgpt221225", "kernel_id": "104911930"}, {"ref": "danielwycoff/dsa-sft-grpo", "kernel_id": "104788852"}, {"ref": "ishitabahamnia/notebook9ef56b6e89", "kernel_id": "104604812"}, {"ref": "saimaniippili/google-tunix-gemma-reasoning-model-fine-tuning", "kernel_id": "104513879"}, {"ref": "ashishrastogi108/google-tunix-reasoning-llm-ashish", "kernel_id": "104932822"}, {"ref": "hnihtnahp/evaluating-llm-reasoning-on-hardware-timing-prblem", "kernel_id": "104386746"}, {"ref": "hmnshudhmn24/google-tunix-hack-train-a-model-to-show-its-work", "kernel_id": "104971181"}, {"ref": "sangam21/google-tunix-submission", "kernel_id": "104886565"}, {"ref": "harshshukla1808/cognilink-1b", "kernel_id": "104070700"}, {"ref": "nayanagowdav/grpo-demo-gemma2-2b", "kernel_id": "104423292"}, {"ref": "yashaswinikushi/gemma2-arc-dataset", "kernel_id": "104915014"}, {"ref": "wwymak/sft-with-qlora-and-the-jax-stack-gpus-edition", "kernel_id": "105322226"}, {"ref": "solokop/025-google-tunix-hackathon-tpu", "kernel_id": "105969043"}, {"ref": "rafaelcabral96/gemma-1b-forge-evolve", "kernel_id": "105216431"}, {"ref": "langtubuivippro/notebookc7f30d751a", "kernel_id": "105656302"}, {"ref": "purvanshsingh/jax-odyssey-from-basics-to-brilliance", "kernel_id": "105644068"}, {"ref": "chelsi123/gemma2-2b-fine-tuning-with-grpo-final", "kernel_id": "105342372"}, {"ref": "noobhunterjay/tunix-hackathon-sft-grpo-lora", "kernel_id": "105999647"}, {"ref": "rajeshawarrao/5-day-ai-agent-f-project", "kernel_id": "105824652"}, {"ref": "srinath2495/tunix-grpo-teaching-gemma-to-show-its-work", "kernel_id": "105072187"}, {"ref": "omarmohamedmostafa/google-tunix-hack-gemma-3-1b-fine-tuning", "kernel_id": "105169400"}, {"ref": "lazizturakulov/tunix-gemma3-mortgageunderwriter-sft", "kernel_id": "105871376"}, {"ref": "mr0106/google-tunix", "kernel_id": "105635144"}, {"ref": "mr0106/google-tunix-hack", "kernel_id": "105640661"}, {"ref": "chloewchia/teach-gemma-3-llm-to-reason", "kernel_id": "105900505"}, {"ref": "green000/tunix-cce-test", "kernel_id": "105553886"}, {"ref": "surfiniaburger/dipg-safety-gym", "kernel_id": "105176626"}, {"ref": "tonymonyte/teaching-gemma-to-show-its-work-with-tunix", "kernel_id": "105851346"}, {"ref": "thiagobcunha/gemma3-1b-tunix-reasoning-sft-grpo", "kernel_id": "105988941"}, {"ref": "ajabkhan21/notebook91051303bc", "kernel_id": "105156546"}, {"ref": "kevinbnisch/corgi-tt-training", "kernel_id": "105243759"}, {"ref": "ambuj456/structured-reasoning-traces-in-gemma2-2b-via-tunix", "kernel_id": "105958689"}, {"ref": "ashutosh0x/tunix-gemma-reasoning-submission", "kernel_id": "105486228"}, {"ref": "muhammaddanyalmalik/tunix-simulated-reasoning-demo", "kernel_id": "105295396"}, {"ref": "nikitatiwariiiii/notebook2003", "kernel_id": "105406008"}, {"ref": "danielwycoff/dsa-sft-gspo-keep-artifacts", "kernel_id": "105341598"}, {"ref": "danielwycoff/dsa-sft-grpo-with-plotting-and-fallback", "kernel_id": "105802117"}, {"ref": "annecfpovie/submission-parquet", "kernel_id": "105501284"}, {"ref": "aaghaazkhan/curegrpo-tunix-phase-4-final", "kernel_id": "105906403"}, {"ref": "aaghaazkhan/curegrpo-tunix-phase-2", "kernel_id": "105698580"}, {"ref": "aaghaazkhan/curegrpo-tunix-phase-3", "kernel_id": "105759755"}, {"ref": "ayodejiibrahimlateef/tunix-hack-on-tpu-grpo", "kernel_id": "105520241"}, {"ref": "kmc6758/notebook8a8796a8d4", "kernel_id": "105740697"}, {"ref": "phos04/tarot-question", "kernel_id": "105974161"}, {"ref": "numeraltiger/tt-tunix-on-tpu", "kernel_id": "105804518"}, {"ref": "samikshachan1022/tunix-model", "kernel_id": "105984136"}, {"ref": "jayaprakashmurugan/teach-gemma-3-llm-to-reason-gpu", "kernel_id": "105308771"}, {"ref": "jayaprakashmurugan/teach-gemma-3-llm-to-reason-tpu", "kernel_id": "105960659"}, {"ref": "ngarai/google-tunix-hack-model-tuning", "kernel_id": "105959146"}, {"ref": "syedfarazhussaini/google-tunix-hackathon-robotics-reasoning", "kernel_id": "105567759"}, {"ref": "badwolfe/googletunix-sft-training", "kernel_id": "105080658"}, {"ref": "linghaot/teaching-gemma-to-show-its-work-with-tunix-1", "kernel_id": "105190295"}, {"ref": "balajielectrical/transparent-ml-a-model-that-shows-its-work-withou", "kernel_id": "105475016"}, {"ref": "vishwasupadhyay/supervised-fine-tuning-of-large-language-modelss", "kernel_id": "105269233"}, {"ref": "vishwasupadhyay/supervised-fine-tuning-full", "kernel_id": "105200401"}, {"ref": "vishwasupadhyay/supervised-fine-tuning-of-large-language-models", "kernel_id": "105199579"}, {"ref": "vishwasupadhyay/tunix-on-tpu-post-training-llms-for-explainable-r", "kernel_id": "105515483"}, {"ref": "aayushrivastava/self-cross-examination-ai", "kernel_id": "105051367"}, {"ref": "mypankaj/cropflowreasoner-explainable-ai-for-farm-decision", "kernel_id": "105528380"}, {"ref": "cagrickr/lightweight-trained-reasoning-for-arithmetic", "kernel_id": "105839560"}, {"ref": "nadinesquires/google-tunix-hackathon-baseline-notebook", "kernel_id": "105983163"}, {"ref": "solokop/025-google-tunix-hackathon-gpu", "kernel_id": "106149797"}, {"ref": "yuyamukai/tunix-sft-train", "kernel_id": "106213259"}, {"ref": "kamalkraj/unboxing-the-black-box-gemma-3", "kernel_id": "106767588"}, {"ref": "marculera/teaching-gemma-2-to-reason-without-breaking-it", "kernel_id": "106265385"}, {"ref": "rbbbjp/grpo-demo-checkpointing-pytorch-lightning-ver", "kernel_id": "106525155"}, {"ref": "rbbbjp/gemma3", "kernel_id": "106749982"}, {"ref": "suhas1999/data-centric-sft", "kernel_id": "106798254"}, {"ref": "sounak1998/nested-multi-frequency-y-adaptive-optimizer", "kernel_id": "106826923"}, {"ref": "simacoder/google-tunix-hack-grpo-training", "kernel_id": "106569166"}, {"ref": "tom99763/tunix-grpo", "kernel_id": "106377009"}, {"ref": "philipkd/gemma2-reasoning-model-for-creative-writing", "kernel_id": "106610420"}, {"ref": "noobhunterjay/grpo-lora-tunix-hackathon", "kernel_id": "106699053"}, {"ref": "udaken10/mnist-explrain", "kernel_id": "106795742"}, {"ref": "udaken10/mnist-explain-no1", "kernel_id": "106793985"}, {"ref": "alfaxadeyembe/gemmax-1b", "kernel_id": "106305856"}, {"ref": "zohrabouchamaoui/via-negativa-tunix-trap-aware-trained-gemma2-2b", "kernel_id": "106677348"}, {"ref": "vempatyanish/gemma3-1b-tunix-anish", "kernel_id": "106523764"}, {"ref": "madasaisurya/trained-gemma3", "kernel_id": "106665194"}, {"ref": "jokarking/tunix-2-working", "kernel_id": "106075032"}, {"ref": "samerattrah/dpo-demo-with-math-gsm8k", "kernel_id": "106472872"}, {"ref": "samerattrah/distillation-with-tunix", "kernel_id": "106465282"}, {"ref": "samerattrah/sft-lora-qlora-with-tunix", "kernel_id": "106465291"}, {"ref": "mr0106/google-tunix-hack-train", "kernel_id": "106108586"}, {"ref": "judith007/gemma-smart-sft-rl-think-by-tunix", "kernel_id": "106692509"}, {"ref": "carlesoctav/train-gemma", "kernel_id": "106592669"}, {"ref": "djsinning/sensor-ai", "kernel_id": "106672384"}, {"ref": "djsinning/google5c5a5e37a4", "kernel_id": "106262413"}, {"ref": "bazingawaggle/notebook6c07eda688", "kernel_id": "106793557"}, {"ref": "bazingawaggle/gemma2-2b-r1-math", "kernel_id": "106821480"}, {"ref": "sumeshsurendran/google-tunix-hack-starter-gemma-tunix-6-922025", "kernel_id": "106352728"}, {"ref": "sumeshsurendran/google-tunix-hack-starter-gemma-tunix-6-cell-b", "kernel_id": "106351700"}, {"ref": "echo9zulu/echo9zulu-shadowgemma1b", "kernel_id": "106833616"}, {"ref": "mehboobelahi/arm-c-transition-with-sft-and-grpo", "kernel_id": "106150307"}, {"ref": "mehboobelahi/arm-c-transition-with-sft-and-grpo-via-gemma2-2b", "kernel_id": "106663362"}, {"ref": "rn8205/tunex", "kernel_id": "106815984"}, {"ref": "ryukftw/google-tunix-grpo-reasoning", "kernel_id": "106399757"}, {"ref": "nursultankoshekbaev/test-gemma-2-reasoning", "kernel_id": "106582510"}, {"ref": "nursultankoshekbaev/gemma-2-reasoning", "kernel_id": "106480382"}, {"ref": "habanwer/gem-tunix-gemma-evidence-model-tune-in-jax", "kernel_id": "106396000"}, {"ref": "hetanshwaghela1/eval-notebook-final", "kernel_id": "106799720"}, {"ref": "tiyabk/colab-v6e-1-tpu-inference-of-gemma-3-1b-w1", "kernel_id": "106816072"}, {"ref": "tiyabk/gemma-3-1b-weaknesses-eval-before-and-after-w1", "kernel_id": "106816292"}, {"ref": "tiyabk/eval-gemma-3-1b-fine-tuned-hs-piqa-arc", "kernel_id": "106647356"}, {"ref": "ompanchal07/tgt-note-book", "kernel_id": "106099592"}, {"ref": "venkatabharghavid/notebook0e14187c46", "kernel_id": "106275688"}, {"ref": "sakkkkkkkkshii/sakshi-gemma2-reasoning-v1", "kernel_id": "106783277"}, {"ref": "kkfkmf/gemmatron-final-submission", "kernel_id": "106833484"}, {"ref": "joetheguide/gemma3-1b-reasoning-using-filtered-algebra-dataset", "kernel_id": "106090773"}, {"ref": "zjj18041388937/tunix-infinite-reasoning-synthetic-data-generator", "kernel_id": "106697753"}, {"ref": "lucasdanielcordeiro/tunix-gemma-2b-reasoning-submission", "kernel_id": "106426735"}, {"ref": "lalit7881/google-tunix-hack-grpo-solution", "kernel_id": "106360238"}, {"ref": "kshubham0315/arm-c-transition-with-sft-and-grpo-via-gemma2-2b", "kernel_id": "106893805"}, {"ref": "kaps1129/final-gemma2-2b-submission", "kernel_id": "106822268"}, {"ref": "tasadanluca/tunix-hack-gemma3-webinstruct", "kernel_id": "106821906"}, {"ref": "abdussaminalbund/phase-3", "kernel_id": "106571492"}, {"ref": "crowelogic/crowe-logic-hybrid-quantum-scientific-reasoning", "kernel_id": "106788702"}, {"ref": "crowelogic/deepparallel-scientific-reasoning-with-tunix", "kernel_id": "106773401"}, {"ref": "moritzehlert/tunix-hackathon-think-first-talk-later", "kernel_id": "106108819"}, {"ref": "pradeepsvln/fork-of-notebook-pradeep-svln", "kernel_id": "106772116"}, {"ref": "meenalsinha/google-tunix-hack", "kernel_id": "106361001"}, {"ref": "manasvirajput/tunix-trained", "kernel_id": "106724807"}, {"ref": "weixilin23/notebookab21168cac", "kernel_id": "106617847"}, {"ref": "jeevankumargone/fine-tuning-gemma-2-for-reasoning-with-tunix", "kernel_id": "106783351"}, {"ref": "averyyen/tunix-model-reasoning-training", "kernel_id": "106805475"}, {"ref": "hervtrinh/htrinh-google-tunix-hack-train-a-model-to-show", "kernel_id": "106466725"}, {"ref": "saivimenthanvlai/gemma3", "kernel_id": "106711837"}, {"ref": "satishkumarappu/tunix-hackathon-think-first-talk-later", "kernel_id": "106790451"}, {"ref": "mo7hamed1x/ia-reasoning-gemma-2", "kernel_id": "106720273"}, {"ref": "sasvanthug/example-of-training-a-ml-model-in-life-decision", "kernel_id": "106471836"}, {"ref": "hiralrojesara/gemma-2-reasoning-model-finetuning", "kernel_id": "106801561"}, {"ref": "namandixit07/neuro-ising-transformers-using-tunix", "kernel_id": "106816149"}, {"ref": "hasnain201/tunix-on-tpu", "kernel_id": "106809717"}, {"ref": "mahmoudrabie2004/ot-ics-cybersecreason-training-tunix-grpo", "kernel_id": "106531270"}, {"ref": "zahwab/zahwab", "kernel_id": "106806885"}, {"ref": "vishnuobi/python-training-ai-notebook", "kernel_id": "106145104"}, {"ref": "gayatrihangal/reasoning-fine-tuning-with-phi-2", "kernel_id": "106291832"}, {"ref": "techuhat/gemma3-self-correcting-reasoning-with-tunix-grpo", "kernel_id": "106386741"}, {"ref": "chrisdukes/judicaita-training-notebook", "kernel_id": "106396666"}, {"ref": "ritwikakancharla/multi-domain-grpo-training-with-gemma3-1b-tunix", "kernel_id": "106188938"}, {"ref": "sentientpattern/original-constellation-sovereign-reasoning", "kernel_id": "106553941"}, {"ref": "sentientpattern/constellation-sovereign-podium-v1", "kernel_id": "106746904"}, {"ref": "sentientpattern/constellation-sovereign-reasoning-podium-v3", "kernel_id": "106814936"}, {"ref": "sentientpattern/constellation-sovereign-reasoning-podium-v2", "kernel_id": "106797784"}, {"ref": "soundaryareddyy/google-tunix", "kernel_id": "106210106"}, {"ref": "caresment/mega-cure-grpo-tunix", "kernel_id": "106338454"}, {"ref": "danielleroyer/cultural-scenarios-v3", "kernel_id": "106384627"}, {"ref": "biyatheqiro/lightweight-reasoning-with-gemma", "kernel_id": "106490108"}, {"ref": "sangminlee09/dod-tunix-hackathon-notebook", "kernel_id": "106304122"}, {"ref": "akshitabhardwaj2/notebook79c715d1de", "kernel_id": "106240338"}, {"ref": "nilanjanchowdhury57/plan-trace-gemma-google-tunix-code", "kernel_id": "106664863"}, {"ref": "danielparrott/inductive-reasoning", "kernel_id": "106849256"}, {"ref": "sounak1998/nested-multi-frequency-adaptive-optimizer-tunix", "kernel_id": "107137118"}, {"ref": "windmaple/asyncio-bug", "kernel_id": "108127503"}, {"ref": "akashc717823i105/tt-tunix-on-tpu", "kernel_id": "108149895"}, {"ref": "mo7hamed1x/ia-reasoning-gemma2-2b-it", "kernel_id": "108324796"}, {"ref": "tahakhan4900/gemmatron-final-submission-02d4e2", "kernel_id": "109589195"}, {"ref": "surfiniaburger/fork-of-dipg-safety-gym", "kernel_id": "110121507"}, {"ref": "juliangoph/google-tunix", "kernel_id": "110605765"}, {"ref": "habanwer/atriom-ds-functiongemma", "kernel_id": "110479081"}, {"ref": "ericsontan/notebook9ef56b6e89", "kernel_id": "111930900"}]}
{"competition_id": "119277", "kernels": [{"ref": "adrienthomas/the-wrath", "kernel_id": "102928851"}]}
{"competition_id": "119316", "kernels": []}
{"competition_id": "119317", "kernels": []}
{"competition_id": "119340", "kernels": [{"ref": "falseposinet/baseline-http", "kernel_id": "97238597"}, {"ref": "moderman/http-detector", "kernel_id": "119410135"}, {"ref": "kirillp07/notebookpttest", "kernel_id": "127496571"}]}
{"competition_id": "119346", "kernels": [{"ref": "fatoowa/dstc-fatwa-f-shofi", "kernel_id": "100957836"}, {"ref": "ailanoorsalsabilla/notebookbc179e84fb", "kernel_id": "100966514"}, {"ref": "najmaadzham/dstc-yep", "kernel_id": "101028701"}]}
{"competition_id": "119444", "kernels": [{"ref": "hmnshudhmn24/drone-delivery-prediction", "kernel_id": "107740566"}]}
{"competition_id": "119553", "kernels": []}
{"competition_id": "119554", "kernels": [{"ref": "youtchou/mammography-baseline-v2-tf-idf-lr", "kernel_id": "109771301"}, {"ref": "youtchou/mammography-baseline-tf-idf-lr", "kernel_id": "109771104"}, {"ref": "youtchou/mammography-baseline-v4", "kernel_id": "109777724"}, {"ref": "youtchou/mammography-baseline-v2", "kernel_id": "109777077"}, {"ref": "youtchou/mammography-baseline-v3", "kernel_id": "109777359"}, {"ref": "felipematsuoka/eda-spr-mammography-report-classification", "kernel_id": "109718237"}, {"ref": "mirkoferretti/spr-2026-mammography-baseline-0-77321", "kernel_id": "109826207"}, {"ref": "youtchou/improved-tfidf-v2", "kernel_id": "110207249"}, {"ref": "vaishnavidesai345/spr-mammography26-tf-idf-char-n-grams-linearsvc", "kernel_id": "110846534"}, {"ref": "prabhpreetsingh5/spr-portuguese-text-ensemble", "kernel_id": "110309509"}, {"ref": "lakhindarpal/mammography-report-classification-biobert", "kernel_id": "111045245"}, {"ref": "zzzzgod/spr-baseline", "kernel_id": "111848950"}, {"ref": "lokeshvns/spr26mrc", "kernel_id": "112373116"}, {"ref": "hida1211/spr2026-exp005-llm-probe", "kernel_id": "112724687"}, {"ref": "saurabhrajvarma/spr-2026-mammography-report-classification", "kernel_id": "112496584"}, {"ref": "cortese/birads-radar-v5", "kernel_id": "112312155"}, {"ref": "cortese/bert-deep-stack-v8", "kernel_id": "112849442"}, {"ref": "huzaifa242/hierchical-classification-lb-0-79789", "kernel_id": "113543297"}, {"ref": "eduvenson/vlife-bertimbau-v2", "kernel_id": "113870350"}, {"ref": "waterjoe/embedding-class", "kernel_id": "113498014"}, {"ref": "ujihash/simple-eda-tf-idf-linearsvc-0-76268", "kernel_id": "113089954"}, {"ref": "mufasasimon/clinical-geometry-threshold-tuning-0-797", "kernel_id": "113576980"}, {"ref": "saurabhrajvarma/spr-2026-mammography-report-analysis", "kernel_id": "113694992"}, {"ref": "ishitabahamnia/spr-2026-mammography-report-classification", "kernel_id": "113334079"}, {"ref": "rhythmghai/spr-2026-bi-rads-classification", "kernel_id": "113245751"}, {"ref": "realtalhacelik/taming-bert-large-zero-oom", "kernel_id": "113584441"}, {"ref": "takayukihiguchi/notebook2c62e1a467", "kernel_id": "114167841"}, {"ref": "saurabhrajvarma/spr-2026-mammography-direct-blending-not-possible", "kernel_id": "114248098"}, {"ref": "zaouiyassine/mamo-report-classification-baseline-submissions", "kernel_id": "114490841"}, {"ref": "avikdas567/tfidf-nb-ensemble-with-pseudo-labeling-for-bi-rads", "kernel_id": "114060903"}, {"ref": "odvut1/spr-mammo-report-classification", "kernel_id": "114639547"}, {"ref": "meenalsinha/improved-mammography-classifier", "kernel_id": "114448360"}, {"ref": "marcosgfigueiredo/triensemble-bert-svm-lgbm", "kernel_id": "114280192"}, {"ref": "erioncr/spr-mammography-v27", "kernel_id": "115569311"}, {"ref": "erioncr/spr-mammography-v29", "kernel_id": "115572353"}, {"ref": "erioncr/spr-mammography-v28-enhanced-ensemble", "kernel_id": "115570768"}, {"ref": "erioncr/spr-mammography-v28", "kernel_id": "115571011"}, {"ref": "thermostatic/extra-data-v1", "kernel_id": "115591878"}, {"ref": "phamletunhi/mammography-model-test-submission", "kernel_id": "115145056"}, {"ref": "errajanikantawasthi/rkawasthi-mammography", "kernel_id": "115399667"}, {"ref": "lakhindarpal/predict-bi-rads-category-from-mammography-report", "kernel_id": "115703323"}, {"ref": "muchat007/spr-mammography-sub-master", "kernel_id": "115489525"}, {"ref": "kunalinfinite/improved-mammography-classifier", "kernel_id": "115168906"}, {"ref": "saurabhrajvarma/multi-head-tf-idf-ensemble-binary-classification", "kernel_id": "115316362"}, {"ref": "saurabhrajvarma/advanced-medical-nlp-transformer-oof-stacking", "kernel_id": "115339909"}, {"ref": "seth7624/submission", "kernel_id": "115473358"}, {"ref": "abhishekgupta56447/spr-2026-mammography-score-0-76601", "kernel_id": "115127040"}, {"ref": "foysalemonshanto/multi-head-tf-idf-ensemble-binary-classification", "kernel_id": "115365396"}, {"ref": "sumeakash/spr-2026-verson1", "kernel_id": "115865930"}, {"ref": "wbfranci/spr-2026-mammo-multihead-thresh-tuned", "kernel_id": "116677240"}, {"ref": "badboyhalo1801/sequential-test-1", "kernel_id": "116972944"}, {"ref": "badboyhalo1801/sequential-test-2", "kernel_id": "116972952"}, {"ref": "badboyhalo1801/sequential-test-3", "kernel_id": "116972954"}, {"ref": "badboyhalo1801/sequential-test-4", "kernel_id": "116972960"}, {"ref": "badboyhalo1801/sequential-test-5", "kernel_id": "116972962"}, {"ref": "badboyhalo1801/sequential-test-7", "kernel_id": "116972968"}, {"ref": "badboyhalo1801/sequential-test-11", "kernel_id": "116973066"}, {"ref": "badboyhalo1801/sequential-test-12", "kernel_id": "116973070"}, {"ref": "badboyhalo1801/sequential-test-13", "kernel_id": "116973084"}, {"ref": "badboyhalo1801/sequential-test-14", "kernel_id": "116973086"}, {"ref": "badboyhalo1801/sequential-test-15", "kernel_id": "116973091"}, {"ref": "badboyhalo1801/biogpt-mammography-classification-v5", "kernel_id": "116179682"}, {"ref": "badboyhalo1801/quick-test-cli", "kernel_id": "116343340"}, {"ref": "badboyhalo1801/debertina-mammography", "kernel_id": "116342662"}, {"ref": "badboyhalo1801/champion-model", "kernel_id": "116346163"}, {"ref": "badboyhalo1801/test-load-v1", "kernel_id": "116356011"}, {"ref": "badboyhalo1801/debertina-5-fold-v8", "kernel_id": "116355714"}, {"ref": "badboyhalo1801/test-baseline", "kernel_id": "116352289"}, {"ref": "badboyhalo1801/debertina-v7", "kernel_id": "116354889"}, {"ref": "badboyhalo1801/xlm-roberta-small-v6", "kernel_id": "116354602"}, {"ref": "badboyhalo1801/xlm-roberta-v5", "kernel_id": "116354332"}, {"ref": "badboyhalo1801/champion-v9-minilm-simple", "kernel_id": "116361775"}, {"ref": "badboyhalo1801/champion-v8-minilm-22m", "kernel_id": "116360976"}, {"ref": "badboyhalo1801/champion-v7-debertina-fp16", "kernel_id": "116360322"}, {"ref": "badboyhalo1801/tf-idf-baseline-v1", "kernel_id": "116359854"}, {"ref": "badboyhalo1801/champion-v6-debertina-3-fold", "kernel_id": "116359464"}, {"ref": "badboyhalo1801/champion-v10-debertina-5-fold-cv", "kernel_id": "116363527"}, {"ref": "noob786/spr-2026-mammography-re-baseline-solution", "kernel_id": "116207734"}, {"ref": "dheerajkannaujiya/medgemma-with-report", "kernel_id": "116110288"}, {"ref": "mohamedklila8klila/baseline-submission", "kernel_id": "116142635"}, {"ref": "jacquelinenanami/notebookfe2af45d93", "kernel_id": "116454415"}, {"ref": "thermostatic/0-84589-private-lb-score-notebook", "kernel_id": "117301783"}]}
{"competition_id": "119580", "kernels": []}
{"competition_id": "119582", "kernels": []}
{"competition_id": "119584", "kernels": []}
{"competition_id": "119586", "kernels": []}
{"competition_id": "119627", "kernels": []}
{"competition_id": "119636", "kernels": []}
{"competition_id": "119638", "kernels": []}
{"competition_id": "119642", "kernels": [{"ref": "tapankhaladkar/truthlens-fake-news-classifier-using-lstm", "kernel_id": "105748792"}]}
{"competition_id": "119643", "kernels": [{"ref": "hopzombee/notebookc1b1bbc675", "kernel_id": "98025647"}]}
{"competition_id": "119647", "kernels": []}
{"competition_id": "119649", "kernels": []}
{"competition_id": "119651", "kernels": []}
{"competition_id": "119653", "kernels": []}
{"competition_id": "119672", "kernels": []}
{"competition_id": "119678", "kernels": []}
{"competition_id": "119693", "kernels": []}
{"competition_id": "119695", "kernels": []}
{"competition_id": "119699", "kernels": [{"ref": "lilybellesweet/predict-mean-crop-yield-in-training-set", "kernel_id": "97698021"}, {"ref": "lilybellesweet/predict-mean-crop-yield-per-gridcell", "kernel_id": "97699011"}]}
{"competition_id": "119706", "kernels": [{"ref": "tarekalhafez/notebookc87db2be9e", "kernel_id": "97976224"}]}
{"competition_id": "119707", "kernels": [{"ref": "davidruthishkambham/notebook485a5c4188", "kernel_id": "135116370"}]}
{"competition_id": "119708", "kernels": []}
{"competition_id": "119719", "kernels": []}
{"competition_id": "119720", "kernels": [{"ref": "saibhaskar9908/botcha-sai-bhaskar-rollno-29", "kernel_id": "97789107"}, {"ref": "poojagupta2930/pooja-12416528", "kernel_id": "97803406"}, {"ref": "lovejeetmatharu/news-classification-lovejeet-12401282", "kernel_id": "97788497"}, {"ref": "luckypatidar11145/news-classification-dataset", "kernel_id": "97950133"}, {"ref": "dheerajpathak9/dheerajca2", "kernel_id": "98410086"}, {"ref": "mohammadmujamil/mujamilca2", "kernel_id": "98468540"}, {"ref": "rashi40/nlp-new-classification-challenge", "kernel_id": "102376892"}]}
{"competition_id": "119723", "kernels": []}
{"competition_id": "119730", "kernels": [{"ref": "danigarci1/hgbr-advanced-fe-sklearn-pipeline", "kernel_id": "108323394"}]}
{"competition_id": "119735", "kernels": [{"ref": "tianshul/codes", "kernel_id": "97904694"}, {"ref": "yuanyi111/2023100362-code", "kernel_id": "97824540"}, {"ref": "llls1234/2023151291-code", "kernel_id": "98964961"}, {"ref": "huikunhuang/huikun-huang-code", "kernel_id": "98978645"}, {"ref": "dorothy1114/ccode", "kernel_id": "98636445"}, {"ref": "szeyuklam/2023101213", "kernel_id": "98984879"}, {"ref": "diegocandy2005/2023170442-code", "kernel_id": "98976668"}, {"ref": "ann2286/2023101169", "kernel_id": "99322461"}, {"ref": "crazyyhang/2023101180", "kernel_id": "99080805"}, {"ref": "siyu187/2023103405-code", "kernel_id": "99008954"}, {"ref": "fewyuu/2023104668", "kernel_id": "99226851"}]}
{"competition_id": "119738", "kernels": [{"ref": "mehmetakifciftci/binary-classification-using-weather-data", "kernel_id": "97828243"}, {"ref": "mehmetakifciftci/1-introduction-to-supervised-learning", "kernel_id": "97831226"}, {"ref": "kirtag/notebook809ea779bf", "kernel_id": "107202586"}, {"ref": "omeraydin1/rainfall-classification", "kernel_id": "114293840"}, {"ref": "ramazanulus/rainfall-prediction-deep-learning", "kernel_id": "116184888"}]}
{"competition_id": "119746", "kernels": [{"ref": "erguntiryaki/rental-product-recommendation-starter-notebook", "kernel_id": "104876258"}, {"ref": "ajabkhan21/notebook9b2c26adb5", "kernel_id": "104306404"}, {"ref": "ajabkhan21/notebookf374dd11d6", "kernel_id": "104307026"}, {"ref": "eric15342335/competition-starter-co-occurrence", "kernel_id": "104052922"}, {"ref": "johnsonhk88/rental-product-recommendation-ml", "kernel_id": "105701153"}, {"ref": "erguntiryaki/multi-signal-ensemble", "kernel_id": "105076417"}, {"ref": "ajabkhan21/notebook2a26f905ff", "kernel_id": "105086862"}, {"ref": "ajabkhan21/notebook5fcbd44579", "kernel_id": "105084663"}, {"ref": "ajabkhan21/notebookd29ef5f2e9", "kernel_id": "105158491"}, {"ref": "hmnshudhmn24/rental-product-recommendation-system", "kernel_id": "105214405"}, {"ref": "tobimichigan/rental-product-recommendation-system-pipeline", "kernel_id": "106159955"}, {"ref": "dhrubangtalukdar/gru4rec-ensemble-for-rental-product-recommendation", "kernel_id": "106292658"}, {"ref": "vladimirnasalciuc/rental-product-recsys", "kernel_id": "106970767"}, {"ref": "divishjindal09/classic-recommender-system", "kernel_id": "106185192"}, {"ref": "rahulchauhan016/session-based-product-recommendation", "kernel_id": "106865792"}, {"ref": "sword4949/rental-product-recommendation-system", "kernel_id": "107518576"}, {"ref": "sumit08/rental-recommendation", "kernel_id": "107517606"}, {"ref": "faresls/session-based-search-category-logic", "kernel_id": "107298049"}, {"ref": "ashsihkumar/r-p-r-s", "kernel_id": "107816465"}, {"ref": "eric15342335/updated-competition-starter-co-occurrence", "kernel_id": "107064644"}, {"ref": "ruisuzuki1218/kikaigakusyu-option", "kernel_id": "107200537"}, {"ref": "mousaalmutiri/rental-product-model-v4", "kernel_id": "107694610"}, {"ref": "sathyz/eda-part-1-hits", "kernel_id": "108825516"}, {"ref": "husnashamlik/hybrid-session-based-next-product-recommendation", "kernel_id": "108266115"}, {"ref": "ashsihkumar/r-p-r-s-1", "kernel_id": "108061284"}, {"ref": "ashsihkumar/metarental-sequential-popularity-based-recommen", "kernel_id": "108326001"}, {"ref": "avikdas567/rental-product-recommender-session-covisitation", "kernel_id": "108703330"}, {"ref": "sathyz/eda-part-3-period-visits-to-orders", "kernel_id": "109283322"}, {"ref": "sathyz/eda-part-2-funnel-analysis", "kernel_id": "109028968"}, {"ref": "sathyz/networkx-personalised-pr", "kernel_id": "109991305"}, {"ref": "greysky/gru4rec-baseline-rental-product-recommendation", "kernel_id": "109538081"}, {"ref": "greysky/gru4rec-catboost-hybrid-recommender-system", "kernel_id": "109539447"}, {"ref": "sathyz/category-reconcilation", "kernel_id": "112453678"}, {"ref": "keqingliming/hstudcn", "kernel_id": "115807020"}, {"ref": "sathyz/setfit-product-category-classification", "kernel_id": "117049823"}, {"ref": "atomstack001/rental-product-recommendation-gru", "kernel_id": "121430652"}]}
{"competition_id": "119773", "kernels": []}
{"competition_id": "119807", "kernels": []}
{"competition_id": "119844", "kernels": []}
{"competition_id": "119864", "kernels": []}
{"competition_id": "119871", "kernels": []}
{"competition_id": "119942", "kernels": []}
{"competition_id": "119944", "kernels": []}
{"competition_id": "119968", "kernels": []}
{"competition_id": "119980", "kernels": []}
{"competition_id": "119992", "kernels": [{"ref": "clyde1114/615557-sample-practice01", "kernel_id": "98254740"}]}
{"competition_id": "119993", "kernels": []}
{"competition_id": "119997", "kernels": [{"ref": "mohamedakrab66/customer-churn", "kernel_id": "99308722"}]}
{"competition_id": "120007", "kernels": []}
{"competition_id": "120008", "kernels": [{"ref": "hmnshudhmn24/ofc-2026-ml-challenge", "kernel_id": "108378292"}]}
{"competition_id": "120024", "kernels": []}
{"competition_id": "120102", "kernels": [{"ref": "nitinsen001/notebookb7a2aa2716", "kernel_id": "103362980"}]}
{"competition_id": "120109", "kernels": []}
{"competition_id": "120135", "kernels": []}
{"competition_id": "120140", "kernels": []}
{"competition_id": "120152", "kernels": [{"ref": "nairrahnawar/competition-notebook", "kernel_id": "117053774"}]}
{"competition_id": "120201", "kernels": []}
{"competition_id": "120217", "kernels": [{"ref": "amalmessaoud/heart-attack-prediction-challenge-base-model", "kernel_id": "98360215"}]}
{"competition_id": "120230", "kernels": []}
{"competition_id": "120241", "kernels": [{"ref": "nina2025/ramadan-data-science-challenge-2026-h-blend", "kernel_id": "110744408"}, {"ref": "hmnshudhmn24/ramadan-global-data-science-challenge-2026", "kernel_id": "110721120"}, {"ref": "mdferozahmedafm/ramadan-global-data-science-challenge-2026", "kernel_id": "111417424"}, {"ref": "sohaibdevv/community-challenge-ramadan-2026", "kernel_id": "115397575"}]}
{"competition_id": "120273", "kernels": []}
{"competition_id": "120279", "kernels": [{"ref": "andreysmirnov/age-estimation-baseline-2025", "kernel_id": "99117198"}]}
{"competition_id": "120281", "kernels": []}
{"competition_id": "120286", "kernels": [{"ref": "davidemaz/map-global-metric-code", "kernel_id": "98964072"}, {"ref": "davidemaz/mapglobal-mapspatial-maptemporal-metrics", "kernel_id": "98965680"}]}
{"competition_id": "120292", "kernels": []}
{"competition_id": "120293", "kernels": []}
{"competition_id": "120382", "kernels": []}
{"competition_id": "120386", "kernels": []}
{"competition_id": "120400", "kernels": [{"ref": "bhaumiksenwal110/begineers-breast-cancer-us-classification-2025-26", "kernel_id": "99452146"}, {"ref": "monishasrinivasanpt/cancer", "kernel_id": "117677108"}]}
{"competition_id": "120401", "kernels": [{"ref": "mdabdulalhasib/unet-solution", "kernel_id": "114263328"}, {"ref": "ayaessam2004/flood-segmentation-efficientnetb4-u-net-tta", "kernel_id": "117369237"}]}
{"competition_id": "120402", "kernels": [{"ref": "haradibots/sample-how-to-do", "kernel_id": "98737069"}, {"ref": "sevvalclalcebeciolu/cat-vs-dog-image-classification", "kernel_id": "109297691"}, {"ref": "adorkableqvq/cat-or-dog-image", "kernel_id": "125816371"}, {"ref": "kairiyoshioka/cat-or-dog-image", "kernel_id": "127556542"}, {"ref": "miwatakuto/cat-or-dog-image", "kernel_id": "127558760"}, {"ref": "hatakenakasaki/cat-or-dog-image-b6ae6b", "kernel_id": "128448119"}, {"ref": "shomafujimoto/notebook417544011a", "kernel_id": "128700468"}, {"ref": "wadakoki0413/cat-or-dog-image", "kernel_id": "128443053"}, {"ref": "miwatakuto/notebook6d108fa44e", "kernel_id": "128446109"}]}
{"competition_id": "120411", "kernels": []}
{"competition_id": "120412", "kernels": []}
{"competition_id": "120422", "kernels": [{"ref": "kj2301/notebookbec2541d80", "kernel_id": "102221435"}]}
{"competition_id": "120431", "kernels": []}
{"competition_id": "120435", "kernels": []}
{"competition_id": "120436", "kernels": []}
{"competition_id": "120459", "kernels": []}
{"competition_id": "120485", "kernels": []}
{"competition_id": "120511", "kernels": []}
{"competition_id": "120534", "kernels": [{"ref": "datascientist97/mobile-net-v2", "kernel_id": "99123725"}, {"ref": "serdaronal/edge-forest-fire-t-rkiye", "kernel_id": "119574048"}]}
{"competition_id": "120570", "kernels": [{"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "mpwolke/tzi-the-iceman-gemini3-pro", "kernel_id": "103498633"}, {"ref": "valentintosetchi/ocr-models-judge", "kernel_id": "103553334"}, {"ref": "romilimtiaz/orion-assistant-concept-a-powerfull-ai-intern", "kernel_id": "103741714"}, {"ref": "venkatkumar001/vkomnisightai-multimodalproductintelligenceapp", "kernel_id": "103605314"}, {"ref": "dyegoalvesp/validation-of-dbt-restoration-4afc-test-app", "kernel_id": "103575002"}, {"ref": "itsyoursumit/google-deepmind-vibe-code-with-gemini-3-pro", "kernel_id": "103526782"}, {"ref": "asefahmed/medsnap", "kernel_id": "103826374"}, {"ref": "abobakrosman87/notebook7ac2c58f77", "kernel_id": "103918632"}, {"ref": "srijan1upadhyay/visual-reconstruction", "kernel_id": "103719613"}, {"ref": "harinitallapalli/google-ai-studio", "kernel_id": "103556049"}, {"ref": "marcelocruzeta/gemini-3-pro-guru", "kernel_id": "103628812"}, {"ref": "sangiits/excipientia", "kernel_id": "103676027"}, {"ref": "yamz006/ed-ai", "kernel_id": "103608931"}, {"ref": "mrmuhammadyasinkhan/terraguardian-ai", "kernel_id": "103736375"}, {"ref": "garfeen/ai-storyteller-google-deepmind-hackathon", "kernel_id": "103971817"}, {"ref": "adrienthomas/google-deepmind-vibe-code-with-gemini-3-pro-in-a", "kernel_id": "103501999"}, {"ref": "abdullahalrefai7/codex-advanced-biblical-manuscript", "kernel_id": "103506889"}, {"ref": "shanujan/quantum-insight-forge-ai-powered-logistics", "kernel_id": "103639425"}, {"ref": "venkatapotamsetti/vitalguard-health-monitoring", "kernel_id": "103675371"}, {"ref": "bhavanikancharla/gemini-3-pro-smart-travel-assist-agent", "kernel_id": "103562949"}, {"ref": "garrepalliruwankumar/crash-detect-ai", "kernel_id": "103659348"}, {"ref": "gssreshta/google-gemini3-pro-deep-interaction", "kernel_id": "103541216"}, {"ref": "rahulrai97/notebookda0afd1cbb", "kernel_id": "103681199"}, {"ref": "kienfan/lazarus-submission-finalf", "kernel_id": "103500824"}, {"ref": "kirtisharma555sudo/echolearn-kagglenotebook", "kernel_id": "103999105"}, {"ref": "imgwho/sunrise-sleep-optimizer", "kernel_id": "104283327"}, {"ref": "abkmystery/paperfusion-research-to-executable-experiments", "kernel_id": "104321403"}, {"ref": "joelbhaskarnadar/ai-product-manager-copilot", "kernel_id": "104301162"}, {"ref": "vismaydevjee/ai-biometric-hash-poc", "kernel_id": "104100124"}, {"ref": "leeryunyi/research-vibe-navigator", "kernel_id": "104110164"}, {"ref": "ayushi20kaggle/lifeswitch-max-ai-life-os-for-overloaded-student", "kernel_id": "104094340"}, {"ref": "likithagedipudi/vesaki-multimodal-virtual-try-on-studio-v1", "kernel_id": "104497356"}, {"ref": "muhammadiqbal510/aie-healthcare-1", "kernel_id": "104267169"}, {"ref": "sakshisnw/leadgenie", "kernel_id": "104310221"}, {"ref": "suleimantawil/paperboard-advanced-research-tool-powered-gemeni", "kernel_id": "104315733"}, {"ref": "furokuhh/the-five-virtues-quest-benchmark", "kernel_id": "104366912"}, {"ref": "rasikaekanayakadevlk/lingualive-the-ai-conversational-partner", "kernel_id": "104163480"}, {"ref": "jaskarandhillon1609/connexoai", "kernel_id": "104258840"}, {"ref": "orionyh/truehue", "kernel_id": "104295268"}, {"ref": "muzammilshaikh001/skill-learning-buddy", "kernel_id": "104014080"}, {"ref": "olajubuolasubomi/notebook46a6f64e9c", "kernel_id": "104314706"}, {"ref": "snehalpatil14/studybuddy-adaptive-learning-assistant", "kernel_id": "104305711"}, {"ref": "akshat001000/wellness-ai-wellness-lifestyle-insight-assistant", "kernel_id": "104181911"}, {"ref": "gouravmitalakaghost/ghost-academy", "kernel_id": "104302567"}, {"ref": "imrancoder786/vibe-code-deepmind", "kernel_id": "104305967"}, {"ref": "bhavankumar07/outfityou-ai-personal-stylist-virtual-wardrobe", "kernel_id": "104054584"}, {"ref": "prashant1017/autonomous-cross-framework-component-synthesis", "kernel_id": "104104290"}, {"ref": "mahidharyadav/firstline-guardian", "kernel_id": "104308554"}, {"ref": "atharvamehta06/jargon-buster-gemini-3-submission", "kernel_id": "104294253"}, {"ref": "radhaagarwal27/kisan-ai-ar", "kernel_id": "104298862"}, {"ref": "mdaquib341/visionaid-ai", "kernel_id": "104308466"}, {"ref": "sensitsan/gemini-powered-multi-agent-architecture-for-i-mucs", "kernel_id": "104276740"}, {"ref": "rajuraushan/prepmaster", "kernel_id": "104297671"}, {"ref": "asthasukhadiya/notebook3e93185561", "kernel_id": "104312309"}, {"ref": "manjeetmuduli/manjeetmuduli", "kernel_id": "104248968"}, {"ref": "rahultailorswala/resumeai-architect-main-notebook", "kernel_id": "104066414"}, {"ref": "chenybit/notebook105f7ac0dd", "kernel_id": "104412416"}, {"ref": "anishwadatkar/anishwadatkar-deepmindhackathon-ipynb", "kernel_id": "104296988"}, {"ref": "runewmonrad/ah-boo", "kernel_id": "104313030"}, {"ref": "abdulmannaf845/notebook817219570c", "kernel_id": "104334796"}, {"ref": "jaguar00/gemini-3-pro-swarm-autonomous-frontend-factory", "kernel_id": "105170843"}, {"ref": "vasanaust/fewnotes-onmyapp-naplan-mastery-companion", "kernel_id": "105991105"}, {"ref": "sarahmarin/aimo-3-invariant-ai-solver", "kernel_id": "105895830"}, {"ref": "santoshyadavaiexpert/gemini-health-assistant-kaggle", "kernel_id": "105721760"}, {"ref": "nghithigia15/sprint2-kaggle-pipeline", "kernel_id": "107594507"}, {"ref": "user7u4/notebook13b6206c7c", "kernel_id": "108802181"}, {"ref": "rapsan2026/notebooke2e2efa017", "kernel_id": "108245502"}, {"ref": "savroz/new-benchmark-task-8d74b", "kernel_id": "115988298"}, {"ref": "balarajr/notebook3df73e1b02", "kernel_id": "116635937"}, {"ref": "josianobrito/notebookc9b0f32838", "kernel_id": "118629741"}, {"ref": "mdmahfujulkarim/google-deepmind-vibe-coding-with-gemini-3-pro", "kernel_id": "131473966"}]}
{"competition_id": "120588", "kernels": []}
{"competition_id": "120617", "kernels": []}
{"competition_id": "120655", "kernels": []}
{"competition_id": "120662", "kernels": [{"ref": "shivansh10mehta02/notebooke17307aa54", "kernel_id": "99306835"}]}
{"competition_id": "120665", "kernels": [{"ref": "emonsharkar/airbnb-rental-price-analysis", "kernel_id": "103138870"}]}
{"competition_id": "120667", "kernels": []}
{"competition_id": "120682", "kernels": []}
{"competition_id": "120697", "kernels": []}
{"competition_id": "120698", "kernels": []}
{"competition_id": "120702", "kernels": [{"ref": "vallamreddypranathi/b24174", "kernel_id": "102209051"}]}
{"competition_id": "120727", "kernels": []}
{"competition_id": "120777", "kernels": []}
{"competition_id": "120807", "kernels": []}
{"competition_id": "120815", "kernels": []}
{"competition_id": "120850", "kernels": []}
{"competition_id": "120860", "kernels": []}
{"competition_id": "120862", "kernels": []}
{"competition_id": "120865", "kernels": []}
{"competition_id": "120891", "kernels": []}
{"competition_id": "120974", "kernels": []}
{"competition_id": "120982", "kernels": [{"ref": "hmnshudhmn24/wine-quality-score-0-28563", "kernel_id": "106369953"}]}
{"competition_id": "121049", "kernels": []}
{"competition_id": "121053", "kernels": []}
{"competition_id": "121059", "kernels": []}
{"competition_id": "121063", "kernels": [{"ref": "virajvaghasiya1811/92301733027-viraj-vaghasiya", "kernel_id": "100371055"}, {"ref": "ommakadiya/92301733022-ommakadiya", "kernel_id": "100370455"}]}
{"competition_id": "121076", "kernels": [{"ref": "chipinh/notebook1a10be2692", "kernel_id": "100726276"}]}
{"competition_id": "121081", "kernels": []}
{"competition_id": "121113", "kernels": []}
{"competition_id": "121144", "kernels": [{"ref": "norikokono/extra-hot-ai-confessions", "kernel_id": "83136716"}, {"ref": "oswind/stockchat-agents-edition", "kernel_id": "98490124"}, {"ref": "modepubhavana/flowday-energy-based-routineconcierge", "kernel_id": "98884841"}, {"ref": "yashgawande127/capstone-project", "kernel_id": "98770381"}, {"ref": "ranajitdhar/yes-ai-studio-an-agentic-multimodal-creator", "kernel_id": "99991765"}, {"ref": "yousoff/walkthrough-on-building-a-customer-support-agent", "kernel_id": "100524288"}, {"ref": "noobsajbot/r-a-i-d-e-n", "kernel_id": "100358829"}, {"ref": "arpit96/medaiassist", "kernel_id": "100824826"}, {"ref": "mmcgonag/notebook574b32ca00", "kernel_id": "100606850"}, {"ref": "bineetha/safetysphere", "kernel_id": "100655301"}, {"ref": "bineetha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100643258"}, {"ref": "sselvaraj/capstone-personal-trip-planner-project", "kernel_id": "100841288"}, {"ref": "rohitchrisdsouza87/ghostwriter", "kernel_id": "100546759"}, {"ref": "dedquoc/multi-agent-system-demo-gemini-research-report", "kernel_id": "100714934"}, {"ref": "amogh0810/ai-job-application-assistant-capstone-project", "kernel_id": "100385378"}, {"ref": "deblina4kaggle/tool-injection-resistant-multi-agent-system", "kernel_id": "100401640"}, {"ref": "maheshpalsingh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100741742"}, {"ref": "octoct/gpu-accelerated-data-science-agent", "kernel_id": "100759327"}, {"ref": "hafizamunshi/nutriguard", "kernel_id": "100824587"}, {"ref": "denissanchez/ai-agent-for-kaggle-image-forgery-detection-compet", "kernel_id": "100340188"}, {"ref": "phil2020/my-project-first", "kernel_id": "100875533"}, {"ref": "nicholasnisopoli/automated-medical-literature-review", "kernel_id": "100962316"}, {"ref": "chandradipbanerjee/automated-blog-writer-agent", "kernel_id": "100801389"}, {"ref": "kalaiguna/autosupport-multi-agent-customer-service", "kernel_id": "100793385"}, {"ref": "pranalibhoyar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100620158"}, {"ref": "yanngarcia/user-you-are-an-expert-in-etsi-mec-you-are-aske", "kernel_id": "100737871"}, {"ref": "anirudhtt/bikeadvisor-chatbot", "kernel_id": "100362507"}, {"ref": "hackshaven/zyra-swarm", "kernel_id": "100339021"}, {"ref": "subhodeepmoitra/test-mindmatrix-ai-agent-for-test-1", "kernel_id": "100622323"}, {"ref": "prateekbanra/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100644725"}, {"ref": "soniyabhagwanwavhal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100609784"}, {"ref": "mayakaripel/neuroassist-ai-agents-for-daily-independent-living", "kernel_id": "100927994"}, {"ref": "andrzejszypulski/daily-crypto-market-summary", "kernel_id": "100392127"}, {"ref": "madhiyono/capstone-project-eldercompanion-network", "kernel_id": "100366697"}, {"ref": "jocelyndumlao/ai-powered-task-manager-with-automation", "kernel_id": "100427848"}, {"ref": "heraldsanthoshdsouza/timewrapagent", "kernel_id": "100765382"}, {"ref": "hardikmakhija/agent-47-the-complete-code", "kernel_id": "100509525"}, {"ref": "vatsaldeshmukh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648628"}, {"ref": "wutdy45/education-in-good-agentic-ai", "kernel_id": "100916390"}, {"ref": "durgeshrao9993/ai-agent-for-kaggle-image-forgery-detection-compet", "kernel_id": "100417618"}, {"ref": "rajeshrmohan/capstone-project-submission-the-smart-travel-conc", "kernel_id": "100469057"}, {"ref": "aryanshah14/agenticai-intensive", "kernel_id": "100873066"}, {"ref": "udithasija/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100668813"}, {"ref": "sonalprathiska/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100608867"}, {"ref": "asherrodrigues/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100679430"}, {"ref": "avanibnayak/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100691612"}, {"ref": "certifiedsurvey/enterprise-it-ops-copilot", "kernel_id": "100565376"}, {"ref": "kinsukghatak/automated-ai-newsletter-agent", "kernel_id": "100811983"}, {"ref": "leefinthekagnnghjjj/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100614175"}, {"ref": "vinitjuneja/still-looking-for-a-job", "kernel_id": "100748416"}, {"ref": "awazbhujel/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100717440"}, {"ref": "shiv2004/factory-quality-intelligence-agent", "kernel_id": "100897051"}, {"ref": "namanbhayana/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100741637"}, {"ref": "shazimsurmawala/codepulse", "kernel_id": "100665137"}, {"ref": "arunavijayan/study-assistant-by-aruna", "kernel_id": "100773381"}, {"ref": "upparapallibrahmi/multi-agent-system", "kernel_id": "100915753"}, {"ref": "vernijain/fork-of-mindmatrix-ai-agent-competition-a-13f6ef", "kernel_id": "100643320"}, {"ref": "saisamanvith/agent-project", "kernel_id": "100542791"}, {"ref": "mignonw/macau-tourism-pulse", "kernel_id": "100393292"}, {"ref": "lekhatopil/designing-a-multi-agent-system-for-e-commerce", "kernel_id": "100374580"}, {"ref": "ananyasolanki/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100644455"}, {"ref": "duaa987/codedoc-agent", "kernel_id": "100659707"}, {"ref": "yuvatheja/enterprise-analytics", "kernel_id": "100549392"}, {"ref": "mahajanayush/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100714857"}, {"ref": "pavithrakanmanirajah/kubewise-kubernetes-resource-agent", "kernel_id": "100784082"}, {"ref": "yashonathyashu/lifeflow-smart-personal-concierge-agent", "kernel_id": "100615815"}, {"ref": "peetlavinaykumar/notebook696cedef29", "kernel_id": "100368249"}, {"ref": "dulapurkaystha/snack-guardian-ai", "kernel_id": "100835039"}, {"ref": "harshsinghrao/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631679"}, {"ref": "edidiongaaron/capstone-project-now-assist-self-heal-agent", "kernel_id": "100428367"}, {"ref": "mohammedsaadc/challengex", "kernel_id": "100627847"}, {"ref": "sushobhantripathy/studyflow-agent", "kernel_id": "100888949"}, {"ref": "oluidiakhoa/onconavigator", "kernel_id": "100789888"}, {"ref": "harshabhagat/multi-agent-kaggle-helper", "kernel_id": "100648930"}, {"ref": "pavankumarchinni/notebook9d986236ef", "kernel_id": "100631044"}, {"ref": "debashishborah/capstone-project", "kernel_id": "100723164"}, {"ref": "philipbai1492/smart-research-assistant-agent", "kernel_id": "100911231"}, {"ref": "minggan/notebookdc30cbf002", "kernel_id": "100861232"}, {"ref": "thennelka/auto-analyst-capstone-project", "kernel_id": "100684639"}, {"ref": "nagarjunachippada/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100635063"}, {"ref": "ramuadabala/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100689157"}, {"ref": "poosamanogna210550/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100676890"}, {"ref": "cherrymekala/capstone-project", "kernel_id": "100662647"}, {"ref": "abhi5336/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100637396"}, {"ref": "shreya2011/supportflowai-capstone-project", "kernel_id": "100890000"}, {"ref": "sreelekhavenugopal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100650423"}, {"ref": "harishrkit/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630100"}, {"ref": "bkvkarthik/ai-multi-agent-blog-generation-system", "kernel_id": "100969379"}, {"ref": "akshargupta06/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100701900"}, {"ref": "hajrasudipkumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628367"}, {"ref": "pranavdudhe/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630676"}, {"ref": "vbkaggle555/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100627171"}, {"ref": "jatinkevlani/notebookdd22f86fd2", "kernel_id": "100744347"}, {"ref": "jatinkevlani/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100741087"}, {"ref": "manasvimude/enterprise-bi-agent", "kernel_id": "100936655"}, {"ref": "nancyvarghese/multi-agent-task-manager", "kernel_id": "100448066"}, {"ref": "ayshanidapp/notebook5e7fc7dfde", "kernel_id": "100950246"}, {"ref": "nevinpm/data-insights-agent-automated-business-analytics", "kernel_id": "100888570"}, {"ref": "mhgjkyjky/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100633714"}, {"ref": "hanumathureddygari/hr-leave-approval-payroll-agent", "kernel_id": "100417967"}, {"ref": "yamanarya/capstone-project-by-yaman-arya", "kernel_id": "100787995"}, {"ref": "aparitosh/multi-agent-research-assistant", "kernel_id": "100986369"}, {"ref": "nrupeshrao/rupai-ai-agent-competition-assistant", "kernel_id": "100694285"}, {"ref": "nicholas33/linkedinagent-nb153", "kernel_id": "100501312"}, {"ref": "nandhiniramesh30/it-helpdesk-ticket-classifier-auto-responder", "kernel_id": "100992475"}, {"ref": "rajasubramanian2007/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100718412"}, {"ref": "preetamkhichar/multi-agent-ai-assisant", "kernel_id": "100680493"}, {"ref": "preetamkhichar/agent-ai-assistant", "kernel_id": "100661954"}, {"ref": "preetamkhichar/multi-agent-ai-competition-assistant", "kernel_id": "100648781"}, {"ref": "vitthalmahajan/studyalpha-demo-ipynb", "kernel_id": "100498060"}, {"ref": "vitthalmahajan/studyalpha-video-demo-ipynb", "kernel_id": "100542516"}, {"ref": "karuppaiyahsaanusan/capstone-project-sdn", "kernel_id": "100492613"}, {"ref": "sumakasula/multi-agent-trip-planner", "kernel_id": "100931684"}, {"ref": "arshababu/smart-autonomous-trip-planner", "kernel_id": "100937778"}, {"ref": "abhayayare/ai-animation-educator-smart-learning-agent", "kernel_id": "100444351"}, {"ref": "samyakjain9173/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629155"}, {"ref": "jhunu12/kisansahayak-capstone-starter1", "kernel_id": "100643030"}, {"ref": "kotichukkalasravani/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100621447"}, {"ref": "ramizpa/ai-agents-intensive-kaggle-capstone-project", "kernel_id": "100423549"}, {"ref": "aqureshi007/adversarial-multi-agent-enterprise-support-system", "kernel_id": "100561430"}, {"ref": "vanshsankadasariya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100662611"}, {"ref": "dwarshb/type1d", "kernel_id": "100535006"}, {"ref": "adiingle/notebook3755f52668", "kernel_id": "100516045"}, {"ref": "adiingle/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100637092"}, {"ref": "jagadish841/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100738871"}, {"ref": "maheshpawar391/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100636125"}, {"ref": "mmaswin/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100722579"}, {"ref": "yuvannanish/disaster-response-ai-agent-multi-agent-emergency-o", "kernel_id": "100535368"}, {"ref": "vimmyverma/travel-tactics", "kernel_id": "100680474"}, {"ref": "adithyahrudai/smart-health-assistant-multimodal-ai-agent", "kernel_id": "100624381"}, {"ref": "anjneshsinghtomar/heartrx", "kernel_id": "100403364"}, {"ref": "hobikagopal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100721361"}, {"ref": "hobikagopal/fork-of-mindmatrix-ai-agent", "kernel_id": "100721632"}, {"ref": "manasakyatham/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100728041"}, {"ref": "devanshgera2010/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100699534"}, {"ref": "harshada18/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100702326"}, {"ref": "pratikmengal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100612224"}, {"ref": "yokesh007/local-deepseek-r1-distilled-model", "kernel_id": "100697047"}, {"ref": "kagglesvij24/google-kaggle-ai-agents-intensive-project", "kernel_id": "100696339"}, {"ref": "sreenaresh1/uniflow-study-exam-copilot", "kernel_id": "100434434"}, {"ref": "sivashankaran04/inbox-zero-orchestrator", "kernel_id": "100487914"}, {"ref": "sharuu07/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100624176"}, {"ref": "deepubagh/ai-multi-customer-support", "kernel_id": "100904147"}, {"ref": "satendrakumar2/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638840"}, {"ref": "arkadeepkar2/capstone-project", "kernel_id": "100677416"}, {"ref": "tilakjain/github-first-issue-finder", "kernel_id": "100699676"}, {"ref": "pushkarsagarmadhuri/avi-s-agent", "kernel_id": "100628638"}, {"ref": "sumitkakani/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626101"}, {"ref": "anushka92718/skincare-multi-agent-recommendation-system", "kernel_id": "100649630"}, {"ref": "neharahinj/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100618196"}, {"ref": "vallabhdasraju/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100901134"}, {"ref": "kalki9/kaggleboost-by-kalki", "kernel_id": "100679432"}, {"ref": "amanwalke21/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100646938"}, {"ref": "akashkatheriya/careerboost-ai-multi-agent-career-assistant", "kernel_id": "100521842"}, {"ref": "mohammedfaheemmadhia/ai-driven-multi-agent-system-for-student-burnout", "kernel_id": "100647157"}, {"ref": "rohanraaj/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100600013"}, {"ref": "swayamprakashpradhan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100627338"}, {"ref": "djgame/lifepilot-ai-concierge-meal-planner-agent", "kernel_id": "100935355"}, {"ref": "thualsiharmyasree/fork-of-mindmatrix-ai-agent", "kernel_id": "100691167"}, {"ref": "pardhaviarimilli/autonomous-enterprise-knowledge-worker-agent", "kernel_id": "100982124"}, {"ref": "shaanyadav/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100655494"}, {"ref": "kavimusic/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629552"}, {"ref": "mohamamdasad/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100633363"}, {"ref": "chaitanyajagan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100623366"}, {"ref": "ai108salkerohitvilas/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648050"}, {"ref": "sivaraj11/agent", "kernel_id": "100518822"}, {"ref": "thekapar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100655785"}, {"ref": "sathishreddymanne/enterprise-agent", "kernel_id": "100643162"}, {"ref": "harinipvh13248/career-path-finder-agent", "kernel_id": "100698692"}, {"ref": "krishkanthkarthik/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629445"}, {"ref": "chodabathulamohana/fitlife-multi-agent-fitness-diet-planner", "kernel_id": "100403793"}, {"ref": "emiliomontelongoluna/advisorverse-multi-agent-advice-council", "kernel_id": "100549006"}, {"ref": "amanatar/iterative-content-creator-adk-capstone-project", "kernel_id": "100918922"}, {"ref": "amanatar/advanced-research-assistant", "kernel_id": "100936864"}, {"ref": "sakshivyavahare18/notebooke1a72c4ef9", "kernel_id": "100478718"}, {"ref": "jaydattlimbachiya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100616210"}, {"ref": "martinyadav/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100717275"}, {"ref": "tanushbhootra/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631019"}, {"ref": "sakshamsaxena1518/hi-iamviglom-sports-analytics-agent", "kernel_id": "100513491"}, {"ref": "rohitsinghrahul/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100662660"}, {"ref": "anishh63/jobscout", "kernel_id": "100031161"}, {"ref": "rahuljiwane/ai-agent-capstone-project-rj", "kernel_id": "100402820"}, {"ref": "manishrtx/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100639541"}, {"ref": "specopsfranklyn/personote", "kernel_id": "100496555"}, {"ref": "anuraghixgxusyg/mindmatrix-ai-agents", "kernel_id": "100626400"}, {"ref": "ulricye/medical-report-agent", "kernel_id": "100784341"}, {"ref": "rishikakkar22/smart-personal-productivity-agent-system", "kernel_id": "100469441"}, {"ref": "nandhagopal03/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100718747"}, {"ref": "hammad1tanveer/fork-of-mindmatrix-ai-agent-competitio3f5c52b3ed", "kernel_id": "100698560"}, {"ref": "hammad1tanveer/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100693626"}, {"ref": "drnimishadavis/agents-intensive-capstone-project", "kernel_id": "100491770"}, {"ref": "pramitsarkar1/ai-marketing-agent-suite-for-business", "kernel_id": "100786518"}, {"ref": "vishalmbaraiya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100598433"}, {"ref": "mamtha2006/notebook7902d51842", "kernel_id": "100721987"}, {"ref": "pardhaviperepi/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100807027"}, {"ref": "aishwaryaaruna18/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100722179"}, {"ref": "poojareddy7/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100639362"}, {"ref": "pvadwaith/automated-data-quality-analyst-agent", "kernel_id": "100644727"}, {"ref": "shreyash1718/megamatrix-ai", "kernel_id": "100691175"}, {"ref": "sanjitkumardanta/smartcon-ai-concierge-agent-for-personalized-trip", "kernel_id": "100620503"}, {"ref": "abhranilduttaabhi/campusgenius-multi-agent-study-companion", "kernel_id": "100443497"}, {"ref": "vishvjeetpawar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628277"}, {"ref": "utsabdahal03/deepfake-detection", "kernel_id": "100641971"}, {"ref": "masuddarrahaman/ecoguard-ai-notebook-demo-py", "kernel_id": "100475940"}, {"ref": "pk8431hnr/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100643863"}, {"ref": "kundankumar8092/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100685954"}, {"ref": "vishnusuthar05/multi-agent-mental-health-companion", "kernel_id": "100482840"}, {"ref": "vishnusuthar05/mental-triage-agent", "kernel_id": "100377291"}, {"ref": "shreyashkumarsbv/synaptiq", "kernel_id": "100787474"}, {"ref": "bhavanasaini29/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632494"}, {"ref": "janswe/study-planner", "kernel_id": "100925772"}, {"ref": "jeevananthams11/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100994935"}, {"ref": "thejasks/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100715476"}, {"ref": "logeshkumar28/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100642330"}, {"ref": "rishithpoojary/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100612172"}, {"ref": "xavieramithj/smartassist-ai-scheduling-agent-that-automates", "kernel_id": "100880405"}, {"ref": "jhansipothabattula/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100720775"}, {"ref": "amarnath5432/am-s-study", "kernel_id": "100923633"}, {"ref": "lalitsharma420/livestock-health-monitoring-agent", "kernel_id": "100632562"}, {"ref": "mohamedarfeen/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100627985"}, {"ref": "dushyantrajpurohit/mindmatrix-ai-agent-competition-assistan", "kernel_id": "100663724"}, {"ref": "yashhh45/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652436"}, {"ref": "mdalimulnishat/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100624614"}, {"ref": "aadityaiscoding/meal-prep-optimizer-agent", "kernel_id": "100398398"}, {"ref": "mansishirode/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629398"}, {"ref": "mansishirode/notebook86861ee272", "kernel_id": "100467678"}, {"ref": "amulyapeeka/bizinsight-ai", "kernel_id": "100785175"}, {"ref": "beat1111111/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100699847"}, {"ref": "priyansurout369/quantum-multi-agent-coach", "kernel_id": "100648573"}, {"ref": "amansohani/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628853"}, {"ref": "saurabhkumar11621/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100639603"}, {"ref": "arnabioghosh/orchestrator-ai", "kernel_id": "100623302"}, {"ref": "sanskrutipanchal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100651281"}, {"ref": "niteshnuresh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100642488"}, {"ref": "jeevanim/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652269"}, {"ref": "arnavkarwa/notebook9bf0546f7c", "kernel_id": "100964078"}, {"ref": "pathannagurbasha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100642608"}, {"ref": "paragmehta06/doctor-agent", "kernel_id": "100399242"}, {"ref": "venkatesh2410/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100659762"}, {"ref": "chhatbarabhishek/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100603965"}, {"ref": "yashtech2024/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100609250"}, {"ref": "mrop1234/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100612705"}, {"ref": "ruchitashirode/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638100"}, {"ref": "ploganth/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100741334"}, {"ref": "furqanahmadrao/agent-using-google-adk", "kernel_id": "100638281"}, {"ref": "jatinhilod/fork-of-mindmatrix-ai-agent-competition-a-25f43f", "kernel_id": "100666912"}, {"ref": "binaryayush/capstone-project", "kernel_id": "100398517"}, {"ref": "ravipal1/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100672046"}, {"ref": "kattasaipraveen/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100719616"}, {"ref": "hetsalmawala/smart-invoice-capstone-notebook", "kernel_id": "100423642"}, {"ref": "yashverma3601/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652047"}, {"ref": "varshapaatil/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100711949"}, {"ref": "vidushisingh27/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100715564"}, {"ref": "saransvrg/autonomous-digital-subscription-agent", "kernel_id": "100954959"}, {"ref": "bhanurekhareddy/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100714723"}, {"ref": "arigenai/ai-maintenance-helper-lite", "kernel_id": "100742757"}, {"ref": "sufiyanascool/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100704333"}, {"ref": "prabhatjoshiii/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100664690"}, {"ref": "dib2004/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100649853"}, {"ref": "divyadasari26/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100643543"}, {"ref": "kundansutar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629501"}, {"ref": "albertovanin/poct-dms-ai-multi-agent-assistant", "kernel_id": "100671074"}, {"ref": "armandodwa/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100713201"}, {"ref": "jyotikarao/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100685845"}, {"ref": "adityakaushalx2606/fork-of-mindmatrix-ai-agent-competition-a-97ec8d", "kernel_id": "100651307"}, {"ref": "adityakaushalx2606/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100650878"}, {"ref": "jayasripilli/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652848"}, {"ref": "zeinabtaher/capstone-final-submission", "kernel_id": "100707184"}, {"ref": "sunilkumarmajhi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638076"}, {"ref": "mehdi11714/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100692443"}, {"ref": "vaishnavikandikuppa/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100735445"}, {"ref": "sandipghorai/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100661432"}, {"ref": "prince02005/grand-master-ai", "kernel_id": "100591203"}, {"ref": "sumitkumarguha/global-cfoe", "kernel_id": "100653101"}, {"ref": "gaganm14/smart-study-assistant", "kernel_id": "100645438"}, {"ref": "syedfarazhussaini/multi-agent-system-for-it-observability", "kernel_id": "100592516"}, {"ref": "mrutmroot/cv-preparation-agent-capstone-project", "kernel_id": "100580241"}, {"ref": "golu7987539655/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100731697"}, {"ref": "sanskritikaawasthi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100689139"}, {"ref": "sheikzayed/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100709051"}, {"ref": "mohammedabrarm/smart-travel-planner-agent", "kernel_id": "100442078"}, {"ref": "utkyadav/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100644264"}, {"ref": "siddharthhi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100637938"}, {"ref": "rani9876/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100743441"}, {"ref": "siddheshoxi/ai-resume-intelligence-system", "kernel_id": "100697427"}, {"ref": "snehalgshewale1234/studymate-capstone-project", "kernel_id": "100602445"}, {"ref": "sundarpspk99/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100621779"}, {"ref": "nithishdev/gen-ai", "kernel_id": "100714807"}, {"ref": "princsharma5052/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100637237"}, {"ref": "faishalhaque/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100604524"}, {"ref": "bithikasaha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648280"}, {"ref": "sainathrv/personalized-nutrition-agent-pna-sainath", "kernel_id": "100422005"}, {"ref": "shivenduk/soundspark", "kernel_id": "100418536"}, {"ref": "saadsalimpatel/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100548039"}, {"ref": "evilvirus7/personal-finance-and-investment-advisor", "kernel_id": "100775137"}, {"ref": "sudhanshutiwari2006/cyberedugen-personalized-learning-with-ai-agents", "kernel_id": "100520461"}, {"ref": "abhiramabnair10/agentic-sw-validation-framework", "kernel_id": "100519594"}, {"ref": "sbzhuit/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100623566"}, {"ref": "rohitverma01/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100705814"}, {"ref": "payalmahakur/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100618018"}, {"ref": "aboss21onfire/personal-tutor-agent", "kernel_id": "100605032"}, {"ref": "aayushparekh2607/smart-research-assistant-capstone-project", "kernel_id": "100381828"}, {"ref": "gangadharvaleti/fork-of-mindmatrix-ai-agent", "kernel_id": "100717170"}, {"ref": "adityashirsatrao/cortex-engine", "kernel_id": "100624432"}, {"ref": "alokranjansahu/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628873"}, {"ref": "zhuoyaodeng02/research-paper-ai-agent", "kernel_id": "100619695"}, {"ref": "kdevinivas/notebookf4f99c29eb", "kernel_id": "100470467"}, {"ref": "ruchitsonawane/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100627746"}, {"ref": "adityatiwari1602/ai-multi-agent-healthcare-assistant", "kernel_id": "100966519"}, {"ref": "foysalahmedpranto/mindmatrix-ai-agent-enhanced-competition-assista", "kernel_id": "100629862"}, {"ref": "stanleychatman/communityinsight-ai-gemini-demo", "kernel_id": "100784930"}, {"ref": "abhishek1ankushe/crowdguard-ai-agent-for-crowd-risk-safety-cap", "kernel_id": "100402226"}, {"ref": "tejasribalaga/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100644748"}, {"ref": "tejasribalaga/study-planner-multiagent-capstone-ipynb", "kernel_id": "100664507"}, {"ref": "arjun080305/daily-planner", "kernel_id": "100436490"}, {"ref": "priyanshu6012/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100615029"}, {"ref": "sanketmandwal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100690406"}, {"ref": "amishaa05/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100602311"}, {"ref": "parmarkrunal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626239"}, {"ref": "shravyamadipeddi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100744240"}, {"ref": "shreyasnnandargi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648078"}, {"ref": "chhavisonkusre/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100618671"}, {"ref": "rajeshwarikotoju/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100986541"}, {"ref": "kuwaramanmaurya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100607304"}, {"ref": "mounikasakhamuri/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100725001"}, {"ref": "devendraawader/anime-recommendation-agent", "kernel_id": "100375847"}, {"ref": "gajuatulasi/smart-trip-planner", "kernel_id": "100699720"}, {"ref": "abhrabca2025/ai-agent", "kernel_id": "100646626"}, {"ref": "nithyaraghu/personal-concierge-agent", "kernel_id": "100337115"}, {"ref": "shaiksohail3463/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100604355"}, {"ref": "pranay00018/fork-of-quantum-helix-engine-exam-ally", "kernel_id": "100727647"}, {"ref": "poojaranijha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100692615"}, {"ref": "upparimeghana444/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100654543"}, {"ref": "shrutiksaskar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648843"}, {"ref": "tirthosaha15/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100729141"}, {"ref": "vinayakrathi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100672013"}, {"ref": "dhruvinsaisajja/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100703570"}, {"ref": "uzefzardoz/smart-ai-tool", "kernel_id": "100726594"}, {"ref": "herwigt/law-question-agent", "kernel_id": "100509551"}, {"ref": "jayeshrathi11/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648868"}, {"ref": "indugujagadeesh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100605466"}, {"ref": "jacktherock/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100662691"}, {"ref": "thomasabhinav/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100697867"}, {"ref": "pbalapoutran/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100730038"}, {"ref": "keerthanam2001/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100959016"}, {"ref": "ksatyam215/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100620383"}, {"ref": "coderpk20/fork-of-mindmatrix-ai-agent-competition-a-fbdd18", "kernel_id": "100657331"}, {"ref": "coderpk20/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100656964"}, {"ref": "aayushdeshpande/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100651302"}, {"ref": "urajacharya/fork-of-mindmatrix-ai-agent-competition-a-177322", "kernel_id": "100712170"}, {"ref": "kishan1929/grantscout", "kernel_id": "100727223"}, {"ref": "shreyaseeparua/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100615542"}, {"ref": "sakshiik/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100607571"}, {"ref": "mew2dev/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100718814"}, {"ref": "jahnaviguduguntla/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652653"}, {"ref": "sp4747/ecofarm-advisor", "kernel_id": "100738723"}, {"ref": "zenshiro/kaggle-agent-aura", "kernel_id": "100706702"}, {"ref": "kamalika1/notebookeb8e237595", "kernel_id": "100634858"}, {"ref": "shubhanjalsharma/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100649760"}, {"ref": "anishgoyalxdata/farmo", "kernel_id": "100887790"}, {"ref": "santanusamanta56/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626644"}, {"ref": "marcred/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100605109"}, {"ref": "vibharai28/travel-planning-agent-for-japan-trip", "kernel_id": "100739150"}, {"ref": "varadnmulay/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100728254"}, {"ref": "skaltabhossen/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100610045"}, {"ref": "ramanvarshney/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100670713"}, {"ref": "saiganeshryali/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652748"}, {"ref": "dakshagrawal77/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100656047"}, {"ref": "karthikpanuganti/antelope-multi-agentic-ai", "kernel_id": "100607055"}, {"ref": "tlynch1618/agents-intensive-captsone-notebook", "kernel_id": "100493584"}, {"ref": "harshininandi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100658353"}, {"ref": "harshininandi/fork-of-mindmatrix-ai-agent-competition-a-f5374c", "kernel_id": "100663513"}, {"ref": "srivastavaakshat52/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100681737"}, {"ref": "riyaax07/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630087"}, {"ref": "ankit773930/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100612364"}, {"ref": "aryannngoel/culinary-command-center", "kernel_id": "100435276"}, {"ref": "rushibhosale3303/multi-agent-system-demo-gemini-research-report", "kernel_id": "100903308"}, {"ref": "lalithsaidabbiru/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100647525"}, {"ref": "manishdhoundiyal/email-agent-capstone", "kernel_id": "100431420"}, {"ref": "jashwanthchitla/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100726495"}, {"ref": "khushidineshsoni123/skill-growth-coach-agent", "kernel_id": "100650675"}, {"ref": "aathinist/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100722208"}, {"ref": "samii25/fork-of-mindmax-ai-agent", "kernel_id": "100692666"}, {"ref": "samii25/smart-ai-com", "kernel_id": "100689807"}, {"ref": "gandlasaivignesh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100614324"}, {"ref": "gandlasaivignesh/multi-agent-smart-system", "kernel_id": "100619117"}, {"ref": "alanta07/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100649972"}, {"ref": "ishanmi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638392"}, {"ref": "darshikadubey/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100635637"}, {"ref": "akramhaque/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100678994"}, {"ref": "aravindtelugu/smartai", "kernel_id": "100622968"}, {"ref": "sahoosurya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100622680"}, {"ref": "ssahil2005/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100682359"}, {"ref": "siliverivaishnavi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100711430"}, {"ref": "siliverivaishnavi/fork-of-mindmatrix-ai-agent-competition-a-688bff", "kernel_id": "100715411"}, {"ref": "suhananaseer123/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100732861"}, {"ref": "rajarshitgx/mindmatrix-ai-agent-competition-assistant", "kernel_id": "100656718"}, {"ref": "aziz19149251/ai-debate-team", "kernel_id": "100519409"}, {"ref": "vanamabilashreddy/multi-phishing-website-url-detection-agent", "kernel_id": "100659058"}, {"ref": "ritikagoud/study-assistant", "kernel_id": "100506821"}, {"ref": "bikashraut/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100634867"}, {"ref": "sheetalkasar/multi-agent-customer-support-assistant-734f17", "kernel_id": "100897203"}, {"ref": "aliasgarlohawala/smart-study-assistant-ai-learning-agent", "kernel_id": "100954542"}, {"ref": "aryanvijaykar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100605315"}, {"ref": "rohitmaurya4418/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100545822"}, {"ref": "omvishwakarma2006/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100667309"}, {"ref": "satyamkumarkewot/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100643130"}, {"ref": "ritikjaiswalkalwar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100724730"}, {"ref": "niteshprajapati2569/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100649048"}, {"ref": "jebeshaunyacob/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100689979"}, {"ref": "jishnupg2005/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100647088"}, {"ref": "rhythmgupta837/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100661935"}, {"ref": "adityakumar8080/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100845341"}, {"ref": "adityakumar8080/mindmatrix-ai-agent-kaggle-competition-as-c60a85", "kernel_id": "100849197"}, {"ref": "adityakumarmishr/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100642506"}, {"ref": "shubhamdeveloper01/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100653171"}, {"ref": "bhoomika2905/track-serve-ai", "kernel_id": "100722074"}, {"ref": "kuldeepgupta45/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100600747"}, {"ref": "msqureshi/bi-agent-automated-business-insights-report", "kernel_id": "100725011"}, {"ref": "shantinathhpatil/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100716069"}, {"ref": "sreedevi1218/learning-assistant-capstone", "kernel_id": "100649242"}, {"ref": "kamaleshayyala/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100608501"}, {"ref": "adarshpandey04/caloriewise-adarsh-pandey", "kernel_id": "100637732"}, {"ref": "vinay0119/fork-of-mindmatrix-ai-agent-competition-a-edabb0", "kernel_id": "100665598"}, {"ref": "mehakpandey/automated-text-labeling-analytics", "kernel_id": "100674993"}, {"ref": "sarthakshukla19jan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625391"}, {"ref": "nirai340/fork-of-mindmatrix-ai-agent-competition-a-0e8f7e", "kernel_id": "100698259"}, {"ref": "aadhilbanua/mindmate", "kernel_id": "100741320"}, {"ref": "manasathati/smart-restaurant-multi-agent-system-srmas", "kernel_id": "100789937"}, {"ref": "kothamanishkumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100672288"}, {"ref": "vaishnorajput/notebookebd0234985", "kernel_id": "100651627"}, {"ref": "adityacsx/notebookcef26b1855", "kernel_id": "100692130"}, {"ref": "hymakrishnaveni/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100711825"}, {"ref": "umeshkumargouda/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628435"}, {"ref": "asmitnewinkaggle/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638958"}, {"ref": "pradeep4710/kaggle-capstone", "kernel_id": "100725562"}, {"ref": "syedmeghdad/notebook83a5eeda92", "kernel_id": "100676394"}, {"ref": "tawfikazizrahman/mindmatrix-ai-agent-for-google", "kernel_id": "100715817"}, {"ref": "bmuthukumar07/lexguard-contract-risk-checker", "kernel_id": "100713569"}, {"ref": "ankit457/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100621901"}, {"ref": "cosmisanushka/paravision-ai", "kernel_id": "100695965"}, {"ref": "gowtham9845188/multi-agent-ai-competition-assistant", "kernel_id": "100644244"}, {"ref": "anujkushawaha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100604033"}, {"ref": "chandradityadebnath/mindmate-mental-health-agent-system", "kernel_id": "100799172"}, {"ref": "jisjohnsajan/fork-of-nova-ai-agent-competition-assistant", "kernel_id": "100638307"}, {"ref": "apuser23/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100729528"}, {"ref": "ravindrasingh007/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100680343"}, {"ref": "harshil202308/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100641536"}, {"ref": "khushigupta620/notebook1", "kernel_id": "100690776"}, {"ref": "atharvabhatt07/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100680824"}, {"ref": "pawanjatav/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100725555"}, {"ref": "shivanitm/notebook10b74ee004", "kernel_id": "100723736"}, {"ref": "aaryandubey12/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100551449"}, {"ref": "vidhishasaragadam/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100637336"}, {"ref": "pushkar2006/daily-habit-optimization-agent", "kernel_id": "100456360"}, {"ref": "abhinavdeuri/nomad", "kernel_id": "100335550"}, {"ref": "apakasangeethkumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100733346"}, {"ref": "parthbarnwal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100690953"}, {"ref": "shubh0593/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100623287"}, {"ref": "bhatiamegha/notebookmegha", "kernel_id": "100586834"}, {"ref": "bhuvan172/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625198"}, {"ref": "dyapatharuni/notebook46601aa0f7", "kernel_id": "100715540"}, {"ref": "saikumari02/edu-boost-a-machine-learning-approach-for-student", "kernel_id": "100771075"}, {"ref": "piyush30066/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628142"}, {"ref": "mdsafhjks1467/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100724115"}, {"ref": "hardik160107/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100704533"}, {"ref": "karansinghranawat/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100735986"}, {"ref": "nagabalaswamy/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100646193"}, {"ref": "navyaneelam/notebook23f0b11941", "kernel_id": "100664388"}, {"ref": "nageshmudhiraj/notebookd2ad564d1a", "kernel_id": "100976380"}, {"ref": "deep69karmakar96/ai-agent-system-kaggle-notebook", "kernel_id": "100610195"}, {"ref": "nandshrimangale/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100646334"}, {"ref": "gopalakrishna38/ai-compliance-audit-agent", "kernel_id": "100430758"}, {"ref": "gopalakrishna38/ai-compliance-audit-agent-capstone-project", "kernel_id": "100395286"}, {"ref": "rutvikvaniya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100717637"}, {"ref": "shibaprasadsethi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100656569"}, {"ref": "puravkunjadiya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100650432"}, {"ref": "sunita1115/healthguard-ai-agent", "kernel_id": "100714385"}, {"ref": "sunita1115/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100709546"}, {"ref": "suryakirankala/smartex-ai", "kernel_id": "100591661"}, {"ref": "shravanpanchal1/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100649011"}, {"ref": "dhanusrisamayam/notebook7c2673b6fd", "kernel_id": "100687628"}, {"ref": "jaswanthramanateja/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100681264"}, {"ref": "vinothanar151/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100938280"}, {"ref": "dharshinirajamaini/disaster-help-agent", "kernel_id": "100935119"}, {"ref": "ashwinibapujawale/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100645332"}, {"ref": "sharwarimhaskar/students-success-coach-ai-powered-agent", "kernel_id": "100639836"}, {"ref": "shadi2002/symptom-assessment-and-referral-agent", "kernel_id": "100736560"}, {"ref": "ayanapm/critiq-the-manual-ui-ux-validator", "kernel_id": "100728883"}, {"ref": "meghnasubramani/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100718988"}, {"ref": "roselineneilson/mindsight-ai-strategy-agent-for-winning-tactics", "kernel_id": "100641131"}, {"ref": "omkaratemkar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100676725"}, {"ref": "ghoshsouvik731/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100623417"}, {"ref": "ghoshsouvik731/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100624615"}, {"ref": "mohaideenalthafs/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100605636"}, {"ref": "abhisheknaidu2213/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100725814"}, {"ref": "himanshusuthar15/smart-studymate-agent", "kernel_id": "100483524"}, {"ref": "vihsal/fork-of-mindmatrix-ai-agent-competition-a-686539", "kernel_id": "100649394"}, {"ref": "yagyeshranjan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100662329"}, {"ref": "senthilprabhumookiah/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100744490"}, {"ref": "rajveer7/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100671693"}, {"ref": "nithingopinadh/notebook0e697dc8fa", "kernel_id": "100945454"}, {"ref": "mrinvictus/autonomous-customer-service-agent-for-e-commerce", "kernel_id": "100437706"}, {"ref": "abdulrayeeskp/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629617"}, {"ref": "jamaldeenfazal/personal-healthcare-ai-agent", "kernel_id": "100537878"}, {"ref": "akshatdwivedii/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632004"}, {"ref": "adityamishra7568/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632383"}, {"ref": "obadarafique/legal-ai", "kernel_id": "100903144"}, {"ref": "yashcreation1/intellicax", "kernel_id": "100787678"}, {"ref": "ashasripamarthi/smart-ai-study-assistant", "kernel_id": "100635877"}, {"ref": "yuvrajsingh9000/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100699271"}, {"ref": "muhammadismail7198/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100647371"}, {"ref": "abhishekpandey9695/agentic-ai-study-assistant", "kernel_id": "100896471"}, {"ref": "prasadbhadakwad/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100712585"}, {"ref": "prasadbhadakwad/fork-of-mindmatrix-ai-agent-competition-a-0623a9", "kernel_id": "100715132"}, {"ref": "ajazkokdi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100549720"}, {"ref": "patelriya13/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100719786"}, {"ref": "aaditya021004/criminal-case-reconstructor-ai-profiler", "kernel_id": "100766355"}, {"ref": "amantiwari636/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100620240"}, {"ref": "ananthuprakashan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100653655"}, {"ref": "allrighthimanshu/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100635151"}, {"ref": "mrishan2006/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628919"}, {"ref": "uchihabyte07/blitzai-ai-competition-assistant-agent", "kernel_id": "100692530"}, {"ref": "rayhanmdak/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100735588"}, {"ref": "aswinthonnath/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631465"}, {"ref": "escharsh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100639633"}, {"ref": "surajrawatkumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100655757"}, {"ref": "abhinavverma6394/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100656515"}, {"ref": "kishanbhatti16/roboflow-web-agent-by-kishan-bhatti", "kernel_id": "100775174"}, {"ref": "kishanbhatti16/roboflow-by-kishan", "kernel_id": "100536411"}, {"ref": "laukiklanke/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626216"}, {"ref": "tanmayd18/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100674855"}, {"ref": "rishabhgupta01/automated-bi-system", "kernel_id": "100564334"}, {"ref": "akas694/study-planner-multiagent-capstone-ipynb", "kernel_id": "100949877"}, {"ref": "krshubham30/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100712234"}, {"ref": "vanshsharma1441/ai-agent-by-vansh-shaa-competition-assistan", "kernel_id": "100658478"}, {"ref": "wangkhemgari/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100686960"}, {"ref": "avinashchauhan07/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100661876"}, {"ref": "yashwanth7700/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100622992"}, {"ref": "vivekkrishnalamani/mind-ai-agent-competition-assistant", "kernel_id": "100632437"}, {"ref": "arihantpatil7676/fitness-calories-burn-predictor", "kernel_id": "100726582"}, {"ref": "yugalbilawane/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100690821"}, {"ref": "subhayumondal30/dukanmitra-small-business-ai-agent", "kernel_id": "100374518"}, {"ref": "ryanmehndiratta/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632391"}, {"ref": "gitanshasija/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100700477"}, {"ref": "lawrancenadar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100598174"}, {"ref": "mahes0707/law-ai-agent", "kernel_id": "100900125"}, {"ref": "hiteshgoudd/m-m-a-final-hitesh", "kernel_id": "100620809"}, {"ref": "deep3549/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100999985"}, {"ref": "logaprakasha1029/concierge-task-helper-agent-capstone-submission", "kernel_id": "100924529"}, {"ref": "farihvarikkodan/mindstark-ai-agent", "kernel_id": "100610818"}, {"ref": "pranjaljinda22/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100641303"}, {"ref": "madusreev/edubotnet-ai-agent", "kernel_id": "100664341"}, {"ref": "tanishk8352/fork-of-mindmatrix-ai-agent-competition-a-c9e75d", "kernel_id": "100611297"}, {"ref": "yachikamittal/smart-service-request-agent", "kernel_id": "100709982"}, {"ref": "shaiknihaal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100980788"}, {"ref": "anirudhapandey/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100795283"}, {"ref": "vrajkumarshah/autocode-clinic", "kernel_id": "100476342"}, {"ref": "dhanalyuvraj/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100609813"}, {"ref": "aaryanpaudel7/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100607766"}, {"ref": "krithikamadhavan/home-buddy-agent", "kernel_id": "100622181"}, {"ref": "deepthanshuanshu/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100643559"}, {"ref": "krishkuhar/future-proof-buddy", "kernel_id": "100958364"}, {"ref": "subhankar0724/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100619588"}, {"ref": "mallikarjunkori/the-ai-tech-newsroom", "kernel_id": "100992283"}, {"ref": "subashchandrabosesr/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100927255"}, {"ref": "rajeshkumarpramanik/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100609376"}, {"ref": "nandhuai/autolint-the-self-healing-code-agent", "kernel_id": "100415998"}, {"ref": "makandarrehabkhanam/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100736367"}, {"ref": "hitesh9912/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100663844"}, {"ref": "lemoniagiantsiou/ai-tutor-agent", "kernel_id": "100915477"}, {"ref": "arijitsen25/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100730667"}, {"ref": "kimjiwon4316/job-tracker", "kernel_id": "100090487"}, {"ref": "pratikraj1610/enterprise-intelligence-agent-eia", "kernel_id": "100617881"}, {"ref": "shashanksingh80/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100653453"}, {"ref": "varshak076/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100987770"}, {"ref": "varshak076/mindmatrix-ai-agent-kaggle-competition-as-79b42b", "kernel_id": "100987815"}, {"ref": "krishnnandan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100683103"}, {"ref": "deku15j/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100731074"}, {"ref": "viba03/automated-blog-writer-agent", "kernel_id": "100994411"}, {"ref": "syedadnanahmad143/omniflow-multi-model-intelligent-agent", "kernel_id": "100670662"}, {"ref": "buntykondal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100601104"}, {"ref": "aman16032008/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100666253"}, {"ref": "himanshurathore005/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100610969"}, {"ref": "shiyazamal/capstone-foodmate-multi-agent-food-recommendati", "kernel_id": "100297691"}, {"ref": "aryanvikasjadhav/code-smart-farming", "kernel_id": "100494215"}, {"ref": "roshanbr23/notebook6a2107ec86", "kernel_id": "100500851"}, {"ref": "shubhamfartade84/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626219"}, {"ref": "prathvii/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100704371"}, {"ref": "dhanpalsk/nexusai-competitor-agent-competition-assistan", "kernel_id": "100606917"}, {"ref": "tejapriyan05/study-agent-ai", "kernel_id": "100749756"}, {"ref": "jashwanthkumarb/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632521"}, {"ref": "syedrajulbari/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100734752"}, {"ref": "rupesh066/fork-of-mindmatrix-ai-agent-competition-a-52810f", "kernel_id": "100718525"}, {"ref": "satyamshandilya001/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100647349"}, {"ref": "ak47474747/caremartixai-the-health-care-assistant", "kernel_id": "100609716"}, {"ref": "ankita2509/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100682418"}, {"ref": "gokulnath7077/ai-compliance-audit-agent-capstone-project", "kernel_id": "100498171"}, {"ref": "vardhannm/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100664519"}, {"ref": "garvitjoshiii/fork-of-mindlearn-ai-agent-competition-assistant", "kernel_id": "100691482"}, {"ref": "harshshirsath2006/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100700026"}, {"ref": "sjan27/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100642487"}, {"ref": "mayanktak2008/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100717577"}, {"ref": "sahamedsulaim/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100687502"}, {"ref": "sharifobaidullah/the-green-code-advisor", "kernel_id": "100471185"}, {"ref": "chowdamshanmukha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100673923"}, {"ref": "harshit778/multi-agent-ai-competition-assistant", "kernel_id": "100715799"}, {"ref": "dakshmalviya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100640367"}, {"ref": "altamashnasirmaner/mindmatrix-ai-agent-kaggle-competition-as-b4837c", "kernel_id": "100724293"}, {"ref": "krishjain628/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100705379"}, {"ref": "manojgupta103/supportsync-ai-agent-kaggle-competition-assistant", "kernel_id": "100941115"}, {"ref": "mandavakarthik/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100624971"}, {"ref": "biswadeepmuhury/internhunter-ai-agent-enterprise", "kernel_id": "100392106"}, {"ref": "kosikeanjaneyulu/fork-of-mindmatrix-ai-agent-competition-a-059365", "kernel_id": "100559001"}, {"ref": "waseemkhoso/agent-for-good", "kernel_id": "100790791"}, {"ref": "ashishkhadge0908/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100636553"}, {"ref": "shiyonisharajakumar/agents-rough-work-trial", "kernel_id": "100938009"}, {"ref": "hemaeppili/notebook697ccb80a8", "kernel_id": "100594597"}, {"ref": "prasunraghuwanshi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100733584"}, {"ref": "jayanthnaik15/community-concierge-advanced-multi-agent-ai-syst", "kernel_id": "100693289"}, {"ref": "designerrrohan/diacare-multi-model-agent", "kernel_id": "100352986"}, {"ref": "sukheshmanikandan/fork-of-logicalmind-aiagent-competition-assistan", "kernel_id": "100661418"}, {"ref": "fycs172jaybandarkar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629376"}, {"ref": "rahulgoswami006/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626903"}, {"ref": "renyreji/ai-data-cleaner-insight-agent-on-netflix-dataset", "kernel_id": "100623518"}, {"ref": "vemurvishnuvardhan/fork-of-mindmatrix-ai-agent", "kernel_id": "100683834"}, {"ref": "vemurvishnuvardhan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100682480"}, {"ref": "aswinkumarpooja/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100623311"}, {"ref": "naimunnisha/fork-of-mindluster-ai-agent-competition-assistan", "kernel_id": "100610562"}, {"ref": "basavanagowda650/neropluse", "kernel_id": "100752261"}, {"ref": "aditiautade/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100687542"}, {"ref": "pandeyanmol1402/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100624581"}, {"ref": "ravikumarnrao/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100655689"}, {"ref": "saifeevohra/smart-peer-movie-recommedation-system", "kernel_id": "100415315"}, {"ref": "rahulbisht2301/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100732672"}, {"ref": "mohamedashpera/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100748132"}, {"ref": "mhdfayiz/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100620394"}, {"ref": "mhdfayiz/fork-of-mindmatrix-ai-agent-competition-a-46ee54", "kernel_id": "100620429"}, {"ref": "mhdfayiz/fork-of-mindmatrix-ai-agent-competition-a-ecf176", "kernel_id": "100620457"}, {"ref": "omkarsonawane352/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652933"}, {"ref": "bhushanwanere/notebook2c0e14936a", "kernel_id": "100395514"}, {"ref": "anushagaddamidi/anus-agent-help", "kernel_id": "100998943"}, {"ref": "anushagaddamidi/agent6", "kernel_id": "100999585"}, {"ref": "surojhalder/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100614410"}, {"ref": "nareshkumarkg/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100620483"}, {"ref": "dipanshusingh111111/notebook7577a9944e", "kernel_id": "100447192"}, {"ref": "aswanthandewc/smart-by-aswanthandrewc", "kernel_id": "100518417"}, {"ref": "yunlinchen06/gemini-agent-multi-tool-itinerary-planner-capston", "kernel_id": "100387052"}, {"ref": "deepbhendarkar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100640744"}, {"ref": "anjalidixitee/capstone-project", "kernel_id": "100754414"}, {"ref": "swarnashankar/the-release-artifact-automation-system-raas", "kernel_id": "100935711"}, {"ref": "chaitanyapawar51/protien-intake-meal-planner", "kernel_id": "100912952"}, {"ref": "darshanachary/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100680354"}, {"ref": "wankhedeshraddha/kaggle-capstone-project", "kernel_id": "100434790"}, {"ref": "rahuljangir0018/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100720287"}, {"ref": "ashikashahid/notebook8976bb13c0", "kernel_id": "100660595"}, {"ref": "venkatapotamsetti/capstone-lionai-py", "kernel_id": "100545988"}, {"ref": "mohdqasim12/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100642775"}, {"ref": "priyanandhinin/notebook81561a77f2", "kernel_id": "100922106"}, {"ref": "phantomdorex8/fork-of-mindmatrix-ai-agent-competition-a-d8e782", "kernel_id": "100633057"}, {"ref": "lovemalik1111/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625342"}, {"ref": "luckysuthar07/fork-of-mindmatrix-ai-agent-competition-a-0623a9", "kernel_id": "100681608"}, {"ref": "sakshiimeshram/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100660615"}, {"ref": "maheem29/neurobias-buster", "kernel_id": "100371498"}, {"ref": "sudipta234/capstone-project", "kernel_id": "100747200"}, {"ref": "anitrahalder/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100641220"}, {"ref": "samaira31/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100925285"}, {"ref": "prathamjain07191/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100627195"}, {"ref": "devan2009/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100609553"}, {"ref": "vijeshpoojary251/medical-research-assistant-adk", "kernel_id": "100720033"}, {"ref": "siyafrrrrrr07/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100668266"}, {"ref": "susmitpadgelwar/multi-agent-to-do-list-manager", "kernel_id": "100746193"}, {"ref": "sourav546das/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100634448"}, {"ref": "rudrapratapmaji/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100672840"}, {"ref": "jeswinrhymond07/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100619554"}, {"ref": "saitejabandla/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100703089"}, {"ref": "sahilgupta077/jarvis-ai-2-0", "kernel_id": "100630425"}, {"ref": "deepakdilipphapale/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100677628"}, {"ref": "prasannathapax/reflect-ai-relationships-manager", "kernel_id": "100765136"}, {"ref": "tiashadey/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100617875"}, {"ref": "mabiamul/smart-ai", "kernel_id": "100405863"}, {"ref": "manpreetsingh13up/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100655830"}, {"ref": "haritamil/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100634160"}, {"ref": "thakursakshamsingh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625211"}, {"ref": "annapurnamaharana/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100614766"}, {"ref": "bhagyalakshmishegde/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100700713"}, {"ref": "rutujajagtap27/ecommerce-support-ai-agent", "kernel_id": "100688328"}, {"ref": "arishamukhtarshaikh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100743531"}, {"ref": "jejainet/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100651264"}, {"ref": "piyushsuralkar/mindmatrix-ai-agent-competition-assistan", "kernel_id": "100662012"}, {"ref": "piyushsuralkar/ai-agent-competition-assistant", "kernel_id": "100665151"}, {"ref": "riktamaji/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100646470"}, {"ref": "niranjank4322/eduagent-ai-powered-student-performance-advisor", "kernel_id": "100518592"}, {"ref": "arjn007/smart-taskmate-a-personal-productivity-agent", "kernel_id": "100610440"}, {"ref": "sonalipriya123/notebooke61e8370d4", "kernel_id": "100404852"}, {"ref": "srawankumaryanamala/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100633282"}, {"ref": "pradeepkotagiri/notebook-uspayrollengine", "kernel_id": "100337950"}, {"ref": "fredats/critical-thinking-compass", "kernel_id": "100406403"}, {"ref": "deepbaldha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100653774"}, {"ref": "raj8949/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100662259"}, {"ref": "durgamadhabadash/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632116"}, {"ref": "sidratulkaif/productivity-agent-flowforge", "kernel_id": "100469202"}, {"ref": "udhayasuriyanv/notebook24f389a71e", "kernel_id": "100870311"}, {"ref": "ayishafidha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100597174"}, {"ref": "srijanshukla71/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100639489"}, {"ref": "mohammedmudassirc/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100642745"}, {"ref": "abilashcknair/civil-project", "kernel_id": "100922149"}, {"ref": "anuragkumar12908/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100657767"}, {"ref": "narinder007/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100700610"}, {"ref": "naetiksoni/capstone-project-ev-cars-market-research", "kernel_id": "100427886"}, {"ref": "khushlove/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626359"}, {"ref": "inderjeetsingh53/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100651451"}, {"ref": "yogeshwaran20051106/productivity-agent-project-yogesh", "kernel_id": "100407400"}, {"ref": "harishhaxr/mindflow-capstone-project", "kernel_id": "100295606"}, {"ref": "gourushivateja/smarty", "kernel_id": "100626313"}, {"ref": "parrishaparamessh/capstone-project-al-tutor-learn-al-from-al-mad", "kernel_id": "100386967"}, {"ref": "parrishaparamessh/agents-for-good-ai-with-a-heart", "kernel_id": "100963982"}, {"ref": "gangadharchegondi/mind-matrix-ai-agent-competition-assistan", "kernel_id": "100699744"}, {"ref": "sangeetdalai/mindmatrix-ai-agent", "kernel_id": "100732907"}, {"ref": "paviramchntnj/shield-your-tiny-human-pavithra-senthilkumar", "kernel_id": "100506192"}, {"ref": "pratiksingewar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100726201"}, {"ref": "komalazam00/dreamcatcher-ai-by-komal-azam", "kernel_id": "100693727"}, {"ref": "komalazam00/dreamcatcher-ai-agent-by-komal-azam", "kernel_id": "100676655"}, {"ref": "riteshrajpurohit05/agent-project", "kernel_id": "100567832"}, {"ref": "riteshrajpurohit05/notebook2f092bb515", "kernel_id": "100565554"}, {"ref": "riteshrajpurohit05/builder-agent", "kernel_id": "100571695"}, {"ref": "sourabhlede/fork-of-mindmatrix-ai-agent-competition-a-70410f", "kernel_id": "100709036"}, {"ref": "fahimeh4466/notebook9e0a7cebbb", "kernel_id": "100670863"}, {"ref": "mohanaprasanth01/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100736395"}, {"ref": "siddharthkaushik888/kaggle-copilot-a-multi-agent-ai-for-best-solution", "kernel_id": "100678184"}, {"ref": "parthnagar24/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100712056"}, {"ref": "saryan08/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100735388"}, {"ref": "jagrajsinghh/alya-san", "kernel_id": "100468153"}, {"ref": "dhanashreekamale/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100636420"}, {"ref": "amritrajpal/fork-of-mindmatrix-ai-agent-competition-a-c34345", "kernel_id": "100617448"}, {"ref": "mohinirajput/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100743329"}, {"ref": "gauravs2425/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630381"}, {"ref": "linalisomawnshi/loan-eligibility-emi-advisor-ai-powered-financ", "kernel_id": "100938534"}, {"ref": "harshsingh000819/micropro-ai-agents-capstone-harsh-kumar-singh", "kernel_id": "100448166"}, {"ref": "divyaypr1303/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100705135"}, {"ref": "junaidmohammadansari/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100622525"}, {"ref": "anshurathore01/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100760140"}, {"ref": "mohanadwadasi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100709328"}, {"ref": "suryamt/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100744561"}, {"ref": "debanshug4/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100612976"}, {"ref": "garrepalliruwankumar/edumentor-v1", "kernel_id": "100363556"}, {"ref": "mitdes/airline-ticket-live-price-tracker-ai-agent", "kernel_id": "100882489"}, {"ref": "yashsogam/adaptive-iq-agent", "kernel_id": "100407955"}, {"ref": "youtubetamilboys/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100619127"}, {"ref": "ankitdas135/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100487505"}, {"ref": "dineshkhichar4582/drra-agent", "kernel_id": "100634184"}, {"ref": "minimachhindranand/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100635942"}, {"ref": "kadiyalahimabindu/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100691966"}, {"ref": "rohankumar2007/enterprise-review-intelligence-agent-capstone", "kernel_id": "100632217"}, {"ref": "srinuvasgupta/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100618880"}, {"ref": "narendrareddyai/smart-recruiter-ai-agent-enterprise-track", "kernel_id": "100483652"}, {"ref": "snehakothawade/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100668717"}, {"ref": "shriramsethus/ai-compliance-audit-agent-capstone-project", "kernel_id": "100528843"}, {"ref": "manohitchaudhary/smarty", "kernel_id": "100617253"}, {"ref": "vijaipatange/globetrotter", "kernel_id": "100446997"}, {"ref": "harshurg/business-insights-ai-agent", "kernel_id": "100944331"}, {"ref": "sharafathahammed/reg-watch-lite-beginner-multi-agent-compliance-d", "kernel_id": "100624903"}, {"ref": "ranishkadian/personal-agent", "kernel_id": "100780292"}, {"ref": "vanshkhunt/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100623023"}, {"ref": "poonambca/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100643449"}, {"ref": "poonambca/fork-of-mindmatrix-ai-agent-competition-a-905c85", "kernel_id": "100643994"}, {"ref": "prakashaathi/zerodha-mcp-portfolio-analyst-agent-based", "kernel_id": "100649031"}, {"ref": "sumankarak2005/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100639475"}, {"ref": "rishabhprasad2020/customer-support-agent-with-intro", "kernel_id": "100454315"}, {"ref": "ayushranjanpatra/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100633375"}, {"ref": "mohitbhargav011/mindmatrix-ai-agent-competition-assistant", "kernel_id": "100597122"}, {"ref": "tejaswigummadi13/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100705623"}, {"ref": "rajarshisarkar26/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100727250"}, {"ref": "mirazahmedlion/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638978"}, {"ref": "anupamamaurya/notebook385047f220", "kernel_id": "100637048"}, {"ref": "anupamamaurya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629915"}, {"ref": "adityagupta028/satchain", "kernel_id": "100745771"}, {"ref": "prathmeshhkangane/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100619303"}, {"ref": "manjotk2113/mindmatrix-advance-ai-agent-competition", "kernel_id": "100878856"}, {"ref": "prathameshdhavle/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100674927"}, {"ref": "ishanchhabra001/community-health-awareness-agent-track-b", "kernel_id": "100979884"}, {"ref": "ishanchhabra001/community-health-awareness-agent-new-track-b", "kernel_id": "100991320"}, {"ref": "punitbehera/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630764"}, {"ref": "ahmad458/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100621729"}, {"ref": "dilipgurung/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100610110"}, {"ref": "mrsunny6/supplyai", "kernel_id": "100341221"}, {"ref": "nikunjpanchal12/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631703"}, {"ref": "dushyantsinghrawat/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100622922"}, {"ref": "poojahanmantthombare/ai-content-blog-writing-assistant", "kernel_id": "100609547"}, {"ref": "deevenkumarmalladi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628200"}, {"ref": "shahariarragibsrabon/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100662633"}, {"ref": "darkmak/conciergeagent", "kernel_id": "100868747"}, {"ref": "hiranlaldinesh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100706075"}, {"ref": "puretiteja/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100591132"}, {"ref": "guna243/ai-agent24", "kernel_id": "100434033"}, {"ref": "anushkamaskar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100731627"}, {"ref": "srinayanar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100664118"}, {"ref": "krishnamonisaikia/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100742924"}, {"ref": "adityakumar7032/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100616994"}, {"ref": "sobinsabu20/quantum-syntax", "kernel_id": "100394936"}, {"ref": "amirmahilange/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100671013"}, {"ref": "nayanadiniherath/ai-career-advisor-a-multi-agent-system", "kernel_id": "100751402"}, {"ref": "vishal200328/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630332"}, {"ref": "akkusocool/pathfinder-colleges", "kernel_id": "100650949"}, {"ref": "sanjay0915/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100623998"}, {"ref": "brparthasarathy/astrolyt-5", "kernel_id": "100931751"}, {"ref": "praptirath/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100646024"}, {"ref": "samriddhiagnihotri/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100635609"}, {"ref": "twinklevadile/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100697151"}, {"ref": "pmohit3110/ai-agents-studypilot", "kernel_id": "100453384"}, {"ref": "rajanyamaity/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100718712"}, {"ref": "sharmatejasvi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100737861"}, {"ref": "nimeshchauhan7/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100687215"}, {"ref": "aryanchaudhary414/capstoneproject1", "kernel_id": "100534574"}, {"ref": "chethancg/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100641523"}, {"ref": "jaysjain/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100676512"}, {"ref": "abishekmurali77/fork-of-mindmatrix-ai-agent-competition-a-d8454c", "kernel_id": "100677170"}, {"ref": "akshataghade/business-data-analyze-agent", "kernel_id": "100992469"}, {"ref": "venishreet/ai-agent-mental-health-support-system", "kernel_id": "100770990"}, {"ref": "sujalpawar11/fork-of-mindmatrix-ai-agent-competition-a-7e306d", "kernel_id": "100695821"}, {"ref": "shreegirl/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100685239"}, {"ref": "esakkirajasalaikumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100681668"}, {"ref": "shubhamchaudhary001/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100614814"}, {"ref": "rathodpuja/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630455"}, {"ref": "vanshsen/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100647770"}, {"ref": "dakshbhutani12/smarty", "kernel_id": "100718539"}, {"ref": "abhishekthakur349349/online-voting-system", "kernel_id": "100671077"}, {"ref": "ayushi945124/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100738436"}, {"ref": "abiju2002/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100677209"}, {"ref": "yogirajkatyare/ai-agent-kaggle-competition-assistant", "kernel_id": "100995382"}, {"ref": "asifikbal02/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100754407"}, {"ref": "rishikashyapmourya/notebookf9cbec645a", "kernel_id": "100761715"}, {"ref": "vaishnavak001/autonomous-enterprise-remediation-system-mas", "kernel_id": "100333955"}, {"ref": "anuraggupta2006/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629803"}, {"ref": "mpeerfathimanavrin/medical-diagnosis", "kernel_id": "100910240"}, {"ref": "rohitghosh2006/smartstudyguideai", "kernel_id": "100754167"}, {"ref": "shubhradash5/notebook36f3ca59f1", "kernel_id": "100523359"}, {"ref": "amruthapothuganti/cybersentinel-agent", "kernel_id": "100629122"}, {"ref": "abhimani22/fork-of-mindmatrix-ai-agent-competition-a-d88b32", "kernel_id": "100717132"}, {"ref": "abhimani22/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100716708"}, {"ref": "yagizmolo/smart-travel-planner-agent", "kernel_id": "100348835"}, {"ref": "abilashm56/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648133"}, {"ref": "mohammadtalha99/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100737102"}, {"ref": "souromit/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625636"}, {"ref": "maddurinikitha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100757308"}, {"ref": "abhijeetgaikar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100720872"}, {"ref": "mahtabhajebi/smart-healthy-meal-and-grocery-planning-agent", "kernel_id": "100773930"}, {"ref": "vidithayanamadala/ecobin-ai-multi-agent-waste-coach", "kernel_id": "100611511"}, {"ref": "saurabhdvairagade/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100563552"}, {"ref": "alexissage/magic-menu-maker", "kernel_id": "100769681"}, {"ref": "alabicacoff/thai-university-admissions-ai-agent", "kernel_id": "100924079"}, {"ref": "rajasekharsiddala/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100667059"}, {"ref": "suhasganvir/whoman-sefty-ai-agent", "kernel_id": "100617972"}, {"ref": "seehra22/fork-of-mindmatrix-ai-agent-competition-a-76d190", "kernel_id": "100658686"}, {"ref": "poojithabonthu07/notebook648054c82b", "kernel_id": "100474295"}, {"ref": "pnitishkumar2005/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100665485"}, {"ref": "manishahirwar9211/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100548971"}, {"ref": "susantgamerz/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100678597"}, {"ref": "aryanawale/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631118"}, {"ref": "vsavwe4/abhinav", "kernel_id": "100455646"}, {"ref": "surajrajendrakadam/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100614856"}, {"ref": "sourabhsdandagi/taxassist-ai-agent-systems", "kernel_id": "100814442"}, {"ref": "gamaldev/procharted-ai", "kernel_id": "100744577"}, {"ref": "motheraoabhishek/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626180"}, {"ref": "yashsolanki0080/notebook38abc9b6cd", "kernel_id": "100867468"}, {"ref": "ashwinn18/wintermind-engine", "kernel_id": "100654785"}, {"ref": "bibekbhatt/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100738958"}, {"ref": "abinayalakshmi27/business-profit-planner-agent", "kernel_id": "100367642"}, {"ref": "aniketsaha1234/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100669273"}, {"ref": "raunaqtaneja/test-scenarios-and-automation-using-agents", "kernel_id": "100567795"}, {"ref": "mdamjad01/kaggle-ai-mentor-pro-developed-by-md-amjad", "kernel_id": "100634423"}, {"ref": "milankumarsantra/edugenie-ai-study-planner-exam-preparation-agen", "kernel_id": "100736489"}, {"ref": "nekmohhmed/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100603946"}, {"ref": "nekmohhmed/fork-of-mindmatrix-ai-agent-competition-a-20a280", "kernel_id": "100607460"}, {"ref": "nekmohhmed/fork-of-fork-of-mindmatrix-ai-agent-competition", "kernel_id": "100615057"}, {"ref": "nekmohhmed/fork-of-mindmatrix-ai-agent-competition-a-fca7ea", "kernel_id": "100616558"}, {"ref": "nekmohhmed/fork-of-fork-of-mindmatrix-ai-agent-compe-e5ddec", "kernel_id": "100619270"}, {"ref": "chiranjeevpatra/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100646319"}, {"ref": "chiranjeevpatra/fork-of-mindmatrix-ai-agent-competition-ai", "kernel_id": "100646441"}, {"ref": "kushagra22145/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100606369"}, {"ref": "avinashjadhav1/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100715860"}, {"ref": "amirhmza/fork-of-mindmatrix-ai-agent-competition-a-9a929e", "kernel_id": "100733310"}, {"ref": "akshaykumartatwa/fork-of-mindmatrix-ai-agent-competition-a-bc495c", "kernel_id": "100708411"}, {"ref": "akshaykumartatwa/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100708096"}, {"ref": "castorchan/projects", "kernel_id": "100677426"}, {"ref": "buda01/master-of-ai-agent", "kernel_id": "100628946"}, {"ref": "rahul78451/mindcore-ai-agent-competition-assistan", "kernel_id": "100716540"}, {"ref": "neetbhadania/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100646941"}, {"ref": "purnendukumargupta/fork-of-mind-ai-agent-competition-assistan", "kernel_id": "100617306"}, {"ref": "h4hussain1793/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100644673"}, {"ref": "vijayc0352/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100998481"}, {"ref": "shivamagrawal12334/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100623815"}, {"ref": "sojocjohny/due-diligence-orchestrator-level-3-collaborative", "kernel_id": "100904589"}, {"ref": "pinkunadas/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625457"}, {"ref": "padmapriya1207/co-founder-agent", "kernel_id": "100922268"}, {"ref": "raahiltfb/kaggle-capstone-raahil", "kernel_id": "100921339"}, {"ref": "debmalyakundu/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630048"}, {"ref": "pranjalmishra2006/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100689233"}, {"ref": "mithleshdewangan/smart-study-assistant-using-google-adk-capstone", "kernel_id": "100488305"}, {"ref": "mayurpatel810/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100687376"}, {"ref": "mohamednadeemafzal/multi-agent-ai-competition-assistant-fastapi-ser", "kernel_id": "100658327"}, {"ref": "gangavarapunaveena/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100670865"}, {"ref": "mkaruru/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100621541"}, {"ref": "ayush9194/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100661544"}, {"ref": "subham7718/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100647995"}, {"ref": "prangyapbishi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100722456"}, {"ref": "prangyapbishi/fork-of-mindmatrix-ai-agent-competition-a-b33733", "kernel_id": "100723091"}, {"ref": "ankitkumar120/fork-of-mindmatrix-ai-agent-competition-a-626e2f", "kernel_id": "100639394"}, {"ref": "vipulkumarasr/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100685573"}, {"ref": "vipulkumarasr/fork-of-mindmatrix-ai-agent-competition-a-bf948c", "kernel_id": "100685656"}, {"ref": "rakshithkumar7411/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100636293"}, {"ref": "madipeddilokesh/vibe-hacking-ai-agent", "kernel_id": "100512097"}, {"ref": "mdrahatrahmanakas/fork-of-nexumind-ai-agent-competition-assistant", "kernel_id": "100619626"}, {"ref": "chintan1707/fork-of-mindmatrix-ai-agent-competition-a-077934", "kernel_id": "100642501"}, {"ref": "ddeepaknayak36/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100650405"}, {"ref": "yashkoparkar18/mindmatrix-ai-agent-by-me-competition-assistant", "kernel_id": "100664304"}, {"ref": "pratikraj10/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100781518"}, {"ref": "varunmadhukar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100666994"}, {"ref": "sagarsharma786/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100635024"}, {"ref": "khajamiya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100656973"}, {"ref": "pramooj/research-planning-multi-agent-system", "kernel_id": "100677439"}, {"ref": "sridhark14007/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100675029"}, {"ref": "ayush1665/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100690102"}, {"ref": "sreeragalora/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100730467"}, {"ref": "anandkotilinga/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100597690"}, {"ref": "parthomukherjee2002/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100662121"}, {"ref": "bsssiddhartha/mindmatrix-ai-agent-competition-assistant", "kernel_id": "100607103"}, {"ref": "saitejabasudi/smart-travel-planner-agent", "kernel_id": "100451416"}, {"ref": "saitejabasudi/notebook3b7c2ee5d7", "kernel_id": "100431132"}, {"ref": "saitejabasudi/autonomous-board-game-engine", "kernel_id": "100426034"}, {"ref": "saitejabasudi/autonomous-board-game-strategy-engine", "kernel_id": "100421692"}, {"ref": "saitejabasudi/notebook17f6f7bc90", "kernel_id": "100406162"}, {"ref": "ankushpandey9/fork-of-mindmatrix-ai-agent-competition", "kernel_id": "100546353"}, {"ref": "poojakamble7438/fork-of-mindmatrix-ai-agent-competition-a-0c9d4b", "kernel_id": "100671316"}, {"ref": "bharatprudhvi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100742735"}, {"ref": "orange08/notebook903267634b", "kernel_id": "100534815"}, {"ref": "vivekraj24/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625617"}, {"ref": "rayaananwar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100627935"}, {"ref": "debasish181/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100759095"}, {"ref": "mubashm/teamops-assistant", "kernel_id": "100555454"}, {"ref": "ankitthawait/vortex-ai-agent-accelerate-your-workflow", "kernel_id": "100735585"}, {"ref": "gayathrisridivya/ai-agent-certification-assistant", "kernel_id": "100695886"}, {"ref": "poddukuriakshayreddy/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100617683"}, {"ref": "gurdeepsinghere/mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631572"}, {"ref": "shaikthanseera/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100723223"}, {"ref": "ajinkyatondlikar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100733869"}, {"ref": "karthickchidambarams/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100639237"}, {"ref": "sachinrajasv/filmflow-ai-capstone-project", "kernel_id": "100359793"}, {"ref": "paramjitsinghji/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100735414"}, {"ref": "khushikannamwar31/personalized-vocabulary-tutor-agent", "kernel_id": "100758900"}, {"ref": "nvenkatprasad/gateprep-agent-adaptive-quiz-study-planner", "kernel_id": "100740235"}, {"ref": "yash968kaggle/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100640050"}, {"ref": "chamili/mindmatrix-ai-agent", "kernel_id": "100693925"}, {"ref": "vivekkuril13/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100680298"}, {"ref": "naina897/hr-multi-agent-interview-board", "kernel_id": "100435799"}, {"ref": "rahuldadanatti/fork-of-mindmatrix-ai-agent-competition-a-af6a84", "kernel_id": "100654494"}, {"ref": "rahuldadanatti/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100654046"}, {"ref": "naveedsayeed/travel-planning-multi-agent-system", "kernel_id": "100703969"}, {"ref": "thasneenshabeerulla/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100686048"}, {"ref": "ujjwalv01/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100657176"}, {"ref": "shreyapande27/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100633476"}, {"ref": "piyushkumarpurohit/notebook66eb912506", "kernel_id": "100685296"}, {"ref": "drqw2abhsww33/notebook593ab788e2", "kernel_id": "100440185"}, {"ref": "drqw2abhsww33/smarty", "kernel_id": "100478745"}, {"ref": "drqw2abhsww33/smart-assis-by-dr-abhishek", "kernel_id": "100461637"}, {"ref": "abhishekpushpad/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100617395"}, {"ref": "tejashreeseethala/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100642522"}, {"ref": "bhavya076/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629399"}, {"ref": "arnavsinghbhati/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100741404"}, {"ref": "vikrant2121/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100621525"}, {"ref": "rajibdas2/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100719118"}, {"ref": "jtheertha045/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100645414"}, {"ref": "anjubhandare/rexa-research-extraction-analysis-agent", "kernel_id": "100635045"}, {"ref": "ahmad786raza/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628788"}, {"ref": "sidathadas/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100620099"}, {"ref": "gauravvanzara/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100711686"}, {"ref": "achalreneesh/notebook320f135cee", "kernel_id": "100514147"}, {"ref": "shabinamsn/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100732293"}, {"ref": "vineeth79/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652923"}, {"ref": "sauravkumarbaishya/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100643889"}, {"ref": "sewinthomas/notebook39b6a421a9", "kernel_id": "100932189"}, {"ref": "amankumar112/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652845"}, {"ref": "mariyaqureshi21/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100722683"}, {"ref": "raghavendrapatne12/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100694640"}, {"ref": "pothugantisaiaman/google5dayai-capstone", "kernel_id": "100742433"}, {"ref": "chiranjibbaral/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100715257"}, {"ref": "anuragxx12/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100640729"}, {"ref": "sunilkumar384/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100649874"}, {"ref": "kiohdsiubjasjdoih/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630411"}, {"ref": "kunalnsapkal/fork-of-mindmatrix", "kernel_id": "100689327"}, {"ref": "agrimvishnoi/notebook9ebd15c18b", "kernel_id": "100676303"}, {"ref": "akshay0748/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100669510"}, {"ref": "shauntyx/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100723486"}, {"ref": "bandlamudikeerthi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100653011"}, {"ref": "mugeshm97/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100641196"}, {"ref": "omarimrantvx/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100693152"}, {"ref": "saheljr/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100591316"}, {"ref": "niyamatbarote/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100620845"}, {"ref": "prasannag30fsd/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100667402"}, {"ref": "amriteshkushwaha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100624833"}, {"ref": "gourayakobu/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100600345"}, {"ref": "sankalpps27/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648154"}, {"ref": "svkvasanthkumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100649796"}, {"ref": "bibinbsnair/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100734245"}, {"ref": "thaseenshabeerulla/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100692402"}, {"ref": "kaustubhtawade69/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100687497"}, {"ref": "subanshaikh04/fork-of-mindmatrix-ai-agent-competition-a-2b85c3", "kernel_id": "100742973"}, {"ref": "priyashaw04/awi-agent", "kernel_id": "100752460"}, {"ref": "piyushchavhan3134/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100618774"}, {"ref": "arnabpandey/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100652881"}, {"ref": "mahaveerrajpurohit/mindmatrix-ai-agent-competition-assistant", "kernel_id": "100679155"}, {"ref": "techfit90/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100709412"}, {"ref": "shaikhasma9423/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100623010"}, {"ref": "hemanthcme/notebookfd9599a40e", "kernel_id": "100512640"}, {"ref": "anujyadav8445/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100650947"}, {"ref": "shauryyadav0072/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100705673"}, {"ref": "snalibaba/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100640963"}, {"ref": "chanduchandanapalli/ai-agents-intensive", "kernel_id": "100660457"}, {"ref": "sanketpt/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629110"}, {"ref": "shrikanthhadapad/u-boss", "kernel_id": "100484774"}, {"ref": "manojkumark2004/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100729607"}, {"ref": "windbreaker007/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628838"}, {"ref": "asifakhtar09/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100655460"}, {"ref": "smaheshgoud/print-code", "kernel_id": "100811771"}, {"ref": "vishalmhaske961/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100637602"}, {"ref": "sunielsinghh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100673861"}, {"ref": "neharajugujarkar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100656853"}, {"ref": "biswaranjan03/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100629147"}, {"ref": "biswaranjan03/fork-of-mindmatrix-ai-agent-competition-a-178ec1", "kernel_id": "100629160"}, {"ref": "charankumarsriramoju/smart-learning-companion-for-underprepared-student", "kernel_id": "100728863"}, {"ref": "yourajsonar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638991"}, {"ref": "sakshidhomkar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100720750"}, {"ref": "snalibabu/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100645101"}, {"ref": "tharun2006arc/omni-flux-automation-engine", "kernel_id": "100650410"}, {"ref": "tharun2006arc/intelligent-workflow-automation-agent-system-by-me", "kernel_id": "100520756"}, {"ref": "elisha03/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100620169"}, {"ref": "anujgupta05p/multi-agent-customer-support-assistant", "kernel_id": "100940454"}, {"ref": "yhrajput/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100682939"}, {"ref": "abhinavshashivala/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632369"}, {"ref": "shivamahirwar7624/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100636972"}, {"ref": "ankurnagar/the-critical-9-10-real-time-fraud-intervention", "kernel_id": "100563694"}, {"ref": "sandeepudharam/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625296"}, {"ref": "vaishnavitekade/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100657672"}, {"ref": "yashdarekar234/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100723230"}, {"ref": "devil1948/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100703070"}, {"ref": "darshinihn/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100620389"}, {"ref": "chandrale123/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100729533"}, {"ref": "pradeep51/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100992592"}, {"ref": "aniketthakur91540/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100661370"}, {"ref": "devnandanwadhekar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100716744"}, {"ref": "miniariyan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100599325"}, {"ref": "prernakumari11/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100664942"}, {"ref": "gsnvlogs/studymate-1-by-sathwik", "kernel_id": "100697301"}, {"ref": "lokeshkumara/project-capstone", "kernel_id": "100620778"}, {"ref": "anguvivinharshan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100720491"}, {"ref": "shaikafreen09/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100616414"}, {"ref": "aayushghoghari/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100645668"}, {"ref": "nitinkanwalnitin/notebook0f20b1807a", "kernel_id": "100498992"}, {"ref": "krishnenduthakur/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100718865"}, {"ref": "akshayapunnamaraju/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100624595"}, {"ref": "kiranps139/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100639078"}, {"ref": "pawankumarcom/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100713279"}, {"ref": "aasthasharma2231/notebook45535cfc29", "kernel_id": "100766620"}, {"ref": "radwanislam/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100622373"}, {"ref": "gitikasingh7065/notebook1b106eadc3", "kernel_id": "100441899"}, {"ref": "komalgoswami002/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100735508"}, {"ref": "mundepunambhagwan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100634078"}, {"ref": "aman188/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100616486"}, {"ref": "huzaifakhan9296/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100640704"}, {"ref": "mansisantoshgupta/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100590952"}, {"ref": "ashishmourya07/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100610569"}, {"ref": "samik03/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100674620"}, {"ref": "snehadas2002/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100624212"}, {"ref": "ahmadalisurpura/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100641481"}, {"ref": "sparshguptaa/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100735319"}, {"ref": "yuvrajtripathi94/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100741226"}, {"ref": "niveditha29/zentrack-ai", "kernel_id": "100682301"}, {"ref": "ayushkumar0091/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100606670"}, {"ref": "mihikatiwari/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625063"}, {"ref": "mukheshvadlamudi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100729301"}, {"ref": "apurvasharma00001/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631310"}, {"ref": "ramidisreeja/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100651833"}, {"ref": "athulyasyamkumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100634638"}, {"ref": "gayathrimurkonda/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100702983"}, {"ref": "alirezaelahi01/intelligent-multi-agent-customer-support-assistant", "kernel_id": "100788042"}, {"ref": "rajkumarrahi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100697830"}, {"ref": "gaurav098patil/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648664"}, {"ref": "sandeshkadole/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100699323"}, {"ref": "shireenmuskan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100640595"}, {"ref": "rishavch0udhary/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100663705"}, {"ref": "siddhichudasama/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100648055"}, {"ref": "avikagupta13/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100682944"}, {"ref": "nandinigupta2703/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100682196"}, {"ref": "manikanta343/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100685018"}, {"ref": "karunimiddisetty/tour-planning-guide", "kernel_id": "100551924"}, {"ref": "vishal1630/mindmatrix-ai-agent-competition-assistant-v2", "kernel_id": "100604338"}, {"ref": "anandhusunils/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100762186"}, {"ref": "arunkumar2456/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100725580"}, {"ref": "harsheris/agent022", "kernel_id": "100411460"}, {"ref": "jngajjar23/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100636558"}, {"ref": "alendev/study-assistant-agent-capstone-project", "kernel_id": "100473766"}, {"ref": "sameerkashyap0659/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100658175"}, {"ref": "shonesiby/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100701886"}, {"ref": "mdiarafin/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100702798"}, {"ref": "ashishkumar0856/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100728169"}, {"ref": "ashishkumar0856/fork-of-mindmatrix-ai-agent-competition-a-c7b09a", "kernel_id": "100728207"}, {"ref": "aryankumarsingh00/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100659652"}, {"ref": "oitrikabh/stresssense-ai", "kernel_id": "100892156"}, {"ref": "prashantkumar9598/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100612318"}, {"ref": "coderadi19/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638133"}, {"ref": "siddhikuyate/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100732527"}, {"ref": "rahul020397/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100725051"}, {"ref": "mkukot/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632215"}, {"ref": "fjumana/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632007"}, {"ref": "abdulkarimajmal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100657526"}, {"ref": "anonymous8591/360-learn-agent-courses-code-experts", "kernel_id": "100989834"}, {"ref": "yaashl/multibrain-x", "kernel_id": "100618665"}, {"ref": "prinsanag/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100612550"}, {"ref": "aniketkumar10112007/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631836"}, {"ref": "mahimajayshris/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100608506"}, {"ref": "srikrishnaedu/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625630"}, {"ref": "rohansrivastava44/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100611904"}, {"ref": "akshaykul004/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100702612"}, {"ref": "ekanshkuralkar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100569740"}, {"ref": "abhishek7014/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100684426"}, {"ref": "magygjjjkogg/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100650011"}, {"ref": "dnyau11/notebook76b3bff1f5", "kernel_id": "100924184"}, {"ref": "shubhambawari/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100677113"}, {"ref": "rimisoni/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100665553"}, {"ref": "yuvrajjaiswal2510/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100729485"}, {"ref": "pankajsinghkarki/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100702619"}, {"ref": "kj465s/notebookf449cb6b87", "kernel_id": "100658542"}, {"ref": "utsavsharma66/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100669970"}, {"ref": "paragchaudhary23/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100568413"}, {"ref": "harshapavankumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100714440"}, {"ref": "akshayakumar202/fork-of-mindmatrix-ai-agent-competition-a-906eeb", "kernel_id": "100730964"}, {"ref": "birgad/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100624953"}, {"ref": "shivanshu009/mealplanner", "kernel_id": "100532775"}, {"ref": "sana6646/ai-agent-for-vernacular-medium-college-student", "kernel_id": "100780214"}, {"ref": "amrita1109/capstone-project", "kernel_id": "100596933"}, {"ref": "aryanagarwalcreator/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100737271"}, {"ref": "adieeshvk/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100614790"}, {"ref": "karrinaveen1143/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100599517"}, {"ref": "karrinaveen1143/fork-of-mindmatrix-ai-agent-competition-a-77152c", "kernel_id": "100600023"}, {"ref": "gokul12333333/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638290"}, {"ref": "sanjaypratapsingh20/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100609202"}, {"ref": "jh0bmy/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100692269"}, {"ref": "hariharanyelagandula/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100731159"}, {"ref": "aryasyam/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100617626"}, {"ref": "gsaisathwik/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100617311"}, {"ref": "lakshyalathi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100674498"}, {"ref": "mukilanmukilanviswa/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100715730"}, {"ref": "abhishekpatel1011/smart-ai-that-builds-resumes-designed-to-get-you-h", "kernel_id": "100901739"}, {"ref": "nileshrajak/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631204"}, {"ref": "aluvalajagan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100663945"}, {"ref": "diyashgupta/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100595788"}, {"ref": "souvikacharjee/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100605246"}, {"ref": "shashi77788/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100935412"}, {"ref": "divyanshdixit999/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632311"}, {"ref": "rajnish1307/fork-of-all-rounder-ai-agent-competition-assistan", "kernel_id": "100658258"}, {"ref": "mithunsingh01/fork-of-mindmatrix-ai-agent-competition-a-0623a9", "kernel_id": "100922779"}, {"ref": "mithunsingh01/fork-of-mindmatrix-ai-agent-competition-a-d2ce8a", "kernel_id": "100922959"}, {"ref": "navnuloop/fork-of-omnitask-ai-agent-competition-assistan", "kernel_id": "100723093"}, {"ref": "hlasya/competition-assistance-by-mind-matrix-fork", "kernel_id": "100723578"}, {"ref": "jagdeepsinghh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100637347"}, {"ref": "shreyjain004/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100636422"}, {"ref": "vikashkumar112002/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100569438"}, {"ref": "yashrajujambhale/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100605171"}, {"ref": "aakash6404/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100700091"}, {"ref": "yashlive/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100635500"}, {"ref": "shaiksahilsaahi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100650357"}, {"ref": "ayust34/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626968"}, {"ref": "sanjanaachada/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100596304"}, {"ref": "ramanukolanudivyasri/smart-ai-agent-for-estimating-glucose-level", "kernel_id": "100963084"}, {"ref": "meghashyam0725/notebookc4fd6f5360", "kernel_id": "100493789"}, {"ref": "aayushbhagat0701/ghost-mesh-offline-ar-mesh-with-ai-agent", "kernel_id": "100465203"}, {"ref": "govindgoel0/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100548520"}, {"ref": "preyanshuchauhan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100640447"}, {"ref": "maaztarkariwale/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100630437"}, {"ref": "sumanhooli/recipe-assistant-agent", "kernel_id": "100654432"}, {"ref": "nabahatinjela/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100690808"}, {"ref": "mayurigawhade/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100691130"}, {"ref": "mayurigawhade/fork-of-mindmatrix-ai-agent-competition-123", "kernel_id": "100694917"}, {"ref": "prasiddhimishra/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100709967"}, {"ref": "miguelpaucar/ai-for-regulatory-compliance-capstone-project", "kernel_id": "100560306"}, {"ref": "yashas1998/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100700469"}, {"ref": "ganeshpvk/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638653"}, {"ref": "livinvincent321/churn-customer-behavior-enterprise-agent", "kernel_id": "100915691"}, {"ref": "rahimtullamujawar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100608272"}, {"ref": "krishnsayal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100643602"}, {"ref": "soumadip07/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100573532"}, {"ref": "raghavsethi006/ai-research-assistant-capstone", "kernel_id": "100357578"}, {"ref": "luckyharsha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100708868"}, {"ref": "sandesh777ydv/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100675095"}, {"ref": "abdurrobmridha/multi-agent-ai-competition-assistant-for-kaggle", "kernel_id": "100641449"}, {"ref": "anmolsaini053/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100642503"}, {"ref": "anmolsaini053/fork-of-mindmatrix-ai-agent-competition-a-2851a3", "kernel_id": "100642969"}, {"ref": "deepaksingh009/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100742529"}, {"ref": "akhilashok181/mindmatrix-ai-agent", "kernel_id": "100619852"}, {"ref": "rocking112/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100608612"}, {"ref": "sukanthann/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100602377"}, {"ref": "radhikabatwara/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100674799"}, {"ref": "pavanijetti07/agent", "kernel_id": "100453134"}, {"ref": "arpitapathak12/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100729255"}, {"ref": "debashis05/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100670838"}, {"ref": "saimasai/notebook0d2a16db1a", "kernel_id": "100477161"}, {"ref": "tuhinsantra2006/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100647974"}, {"ref": "tasbiyafatimashaikh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100615153"}, {"ref": "poonammadhukarjumde/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100670292"}, {"ref": "mokshajna18/smart", "kernel_id": "100677836"}, {"ref": "subhaschandramunain/mindbuddy", "kernel_id": "100645921"}, {"ref": "sxixam/mindmatrix-ai-agent-competition-assistant", "kernel_id": "100439290"}, {"ref": "varshakushwah54/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100662600"}, {"ref": "sanganipurv/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100597204"}, {"ref": "amangautam92/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100636442"}, {"ref": "santukr99/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100631628"}, {"ref": "yuvirajam/smartnewsnotifieragent", "kernel_id": "100868756"}, {"ref": "mohitcoderofficial/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100609663"}, {"ref": "ashoksinghr/notebook2644145c0c", "kernel_id": "100748415"}, {"ref": "priyanshidevi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100591823"}, {"ref": "abdul265/notebook06ca342f24", "kernel_id": "100927716"}, {"ref": "madhurigubbala91/eecellent-team-build", "kernel_id": "100961291"}, {"ref": "sayalimahendrakelkar/ai-agent-competition-assistan", "kernel_id": "100659489"}, {"ref": "maithilikesare/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100659730"}, {"ref": "akshayshibu473/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100546615"}, {"ref": "siddharthsagar12/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100644134"}, {"ref": "krunalsidzz/fork-of-mindmatrix-ai-agent-competition-a-ebc731", "kernel_id": "100655387"}, {"ref": "rkahumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100700084"}, {"ref": "suyashdeshpande888/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100621653"}, {"ref": "satwikapandillapalli/smarty", "kernel_id": "100895248"}, {"ref": "shailendrakumarpal/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100714498"}, {"ref": "bipashapriyadarshini/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100733491"}, {"ref": "banshidharpandey/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100626318"}, {"ref": "dhruvh01i/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100646654"}, {"ref": "ramavatdarshanh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100667673"}, {"ref": "richaldongre/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632728"}, {"ref": "shubhamgadakh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100643589"}, {"ref": "balajidineshuppaala/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100674513"}, {"ref": "namannkamraa/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100669768"}, {"ref": "debarshidas03/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100606330"}, {"ref": "chiragkandpal/multi-agent-system-orchestrator-mas-o", "kernel_id": "100612119"}, {"ref": "aravdhore/mindmatrix-ai-agent-kaggle-competition-as-de0d3e", "kernel_id": "100895342"}, {"ref": "aravdhore/mindmatrix-ai-agent-kaggle-competition-as-0687f4", "kernel_id": "100894884"}, {"ref": "viveknarendramahajan/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100676861"}, {"ref": "jatintiwari2609/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100695643"}, {"ref": "pulak1saha/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100641717"}, {"ref": "ankitamaharnvar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100622044"}, {"ref": "atharvvmishra/autospecops-agent-py", "kernel_id": "100419114"}, {"ref": "hammadkhan1310/my-project-v5", "kernel_id": "100455893"}, {"ref": "mantripunyavathi/fork-of-mindmatrix-ai-agent-competition-a-0623a9", "kernel_id": "100649198"}, {"ref": "clearlysw/ai-life-organizer", "kernel_id": "100509223"}, {"ref": "sanishkumar0528/notebook2212df0c10", "kernel_id": "100469078"}, {"ref": "jaladibhavani/notebook255620a8e2", "kernel_id": "100516357"}, {"ref": "jaladibhavani/notebook29c9b0cef3", "kernel_id": "100677717"}, {"ref": "pratiksharajivkhed1/fork-of-mindmatrix-ai-agent-competition-a-baedd6", "kernel_id": "100725076"}, {"ref": "mohammedzaid0796/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100601525"}, {"ref": "mausamlodhi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100599102"}, {"ref": "kveera23/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100669328"}, {"ref": "shauryaveer123/notebooke946b4dcf1", "kernel_id": "100617208"}, {"ref": "tayyabkhan124/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100625217"}, {"ref": "prashlesh/notebook9a76429bbf", "kernel_id": "100630775"}, {"ref": "priyanshuuuiijod/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100617056"}, {"ref": "namanjaiswall/insight-to-action", "kernel_id": "100894634"}, {"ref": "premrajzambre2/edumentor-demo", "kernel_id": "100643904"}, {"ref": "mdadilpat/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100718594"}, {"ref": "aaryanraj336/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100622865"}, {"ref": "vanshsinghbisht/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628430"}, {"ref": "bharatv1/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100628805"}, {"ref": "rakeshrak1/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100632809"}, {"ref": "priyanshukumar787/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100638596"}, {"ref": "ashu0105/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100644119"}, {"ref": "errishikeshkumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100659766"}, {"ref": "challaturukumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100647753"}, {"ref": "mk1608/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100653618"}, {"ref": "aaryany310/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100650890"}, {"ref": "deepanshu108/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100651335"}, {"ref": "ny82812/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100653471"}, {"ref": "kundan20105/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100653878"}, {"ref": "ritikraj2972/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100659709"}, {"ref": "annie041020/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100660415"}, {"ref": "itzsk012/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100666992"}, {"ref": "raviganjir/crypto-market-analysis-technicals-and-ml", "kernel_id": "100769271"}, {"ref": "tahairfanansari/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100684185"}, {"ref": "tahairfanansari/fork-of-mindmatrix-ai-agent-competition-a-83a79a", "kernel_id": "100684569"}, {"ref": "mohammadtanzil09/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100705982"}, {"ref": "harshitasinghalll/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100693231"}, {"ref": "jashwanthgopu/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100696461"}, {"ref": "sukhdevsuthar55/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100704425"}, {"ref": "manabkumar/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100707100"}, {"ref": "rkmitunmithran/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100720592"}, {"ref": "mohamedriyasrashadh/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100733496"}, {"ref": "akshatraj7479/fork-of-mindmatrix-ai-agent-competition-a-80152d", "kernel_id": "100735694"}, {"ref": "akshatraj7479/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100735564"}, {"ref": "sarswatidevi/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100735783"}, {"ref": "syedraheem0819/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100739288"}, {"ref": "jishanmalik/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "100742023"}, {"ref": "jontymaurya/smart-support-assistant", "kernel_id": "100933656"}, {"ref": "anandsrinivask/lifeskills-ai-agents-for-good-capstone", "kernel_id": "100905953"}, {"ref": "sabarieshwaran/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "100972799"}, {"ref": "hashg170905/comic-book-agent-capstone-project", "kernel_id": "101095899"}, {"ref": "riddhimanadib/meal-planner-agent", "kernel_id": "101111034"}, {"ref": "ratnesh88/agentic-coupons-system", "kernel_id": "101166515"}, {"ref": "shally0123/capstone-project-41334", "kernel_id": "101615991"}, {"ref": "innacampo/lucia-bias-aware-ai-agent", "kernel_id": "101583778"}, {"ref": "rajasingam/automated-sla-breach-predictor-agent", "kernel_id": "101520096"}, {"ref": "dollyagarwal/sustiai", "kernel_id": "101677345"}, {"ref": "dzbeavers/mlca-agent", "kernel_id": "101087068"}, {"ref": "sanketmunot/finblogger", "kernel_id": "101510182"}, {"ref": "bilokin/autoapply-ai", "kernel_id": "101568201"}, {"ref": "tutul123/study-companion-agents", "kernel_id": "101964309"}, {"ref": "begin1990/notebook0abce802f5", "kernel_id": "101780152"}, {"ref": "kenkinkopf/agents-for-blood-tests", "kernel_id": "101616892"}, {"ref": "devasenavangavolu/pantry-agent-smart-meal-shopping-planner", "kernel_id": "101804043"}, {"ref": "amarnathrajaram/creative-story-studio-adk-capstone", "kernel_id": "101033548"}, {"ref": "mayakaripel/neuroassist-an-ai-agent-system-for-neurodiverge", "kernel_id": "101459256"}, {"ref": "ukaszmarchlewicz/solobiz-ops-agent", "kernel_id": "101779429"}, {"ref": "gpt222/film-finder-agent", "kernel_id": "101747738"}, {"ref": "freemind002/intelligent-travel-booking-intent-parser", "kernel_id": "101549898"}, {"ref": "anbunambi/baymax-agent", "kernel_id": "101070278"}, {"ref": "joelbhaskarnadar/healthcare-symptom-guidance-agent", "kernel_id": "101945721"}, {"ref": "saroj1981/chronic-healthcare-concierge", "kernel_id": "101658384"}, {"ref": "navneetkaur27/ai-healthy-veg-meal-planner", "kernel_id": "101846388"}, {"ref": "shreypatel3287/triply", "kernel_id": "101775170"}, {"ref": "isabellebarbier/agent-quiz", "kernel_id": "101305320"}, {"ref": "architatodi/enterprise-system-orchestrator", "kernel_id": "101015409"}, {"ref": "mikefeuti/multivariate-attribution-in-financial-marketing", "kernel_id": "101828371"}, {"ref": "laurenober/civic-reform-agents", "kernel_id": "101300958"}, {"ref": "kethansaikoneru/bizintel-automated-business-intelligence-agent-v", "kernel_id": "101477354"}, {"ref": "yudeshgovindaraju/agentic-bpmn-swimlane-composer", "kernel_id": "101670116"}, {"ref": "test013/mlagent-ops-adk", "kernel_id": "101155305"}, {"ref": "bdlrehman/complete-kaggle-notebook-code-for-finance-sentinel", "kernel_id": "101189530"}, {"ref": "canali94/vertexvoyages", "kernel_id": "101675690"}, {"ref": "narasimharaomudhena/multi-agent-system-architecture", "kernel_id": "101418428"}, {"ref": "vishnuac05/nonworkalcoholic", "kernel_id": "101895454"}, {"ref": "pallavi315/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101644605"}, {"ref": "psbvenkatesh/the-gourmet-guide-agent", "kernel_id": "101453325"}, {"ref": "bharathidasanilango/career-concierge-code", "kernel_id": "101775953"}, {"ref": "ajmal12/ai-trainer-nutritionist-multi-agent-system", "kernel_id": "101685732"}, {"ref": "marcellusspears/briefcase-copilot", "kernel_id": "101322042"}, {"ref": "shubhamranga/personalized-learning-navigator", "kernel_id": "101204496"}, {"ref": "srimathichinnarasu/ai-agent-capstone", "kernel_id": "101164166"}, {"ref": "senthilkumar2021/food-waste-agent", "kernel_id": "101704793"}, {"ref": "arlene06/notebookcef0af2e48", "kernel_id": "101759487"}, {"ref": "arlene06/sheanalyze", "kernel_id": "101762118"}, {"ref": "kamilmatejuk/coding-video-framework", "kernel_id": "101511324"}, {"ref": "bkvkarthik/ai-multi-agent-autonomous-blog-generation-system", "kernel_id": "101232023"}, {"ref": "smitsiddhantar/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101231395"}, {"ref": "smitsiddhantar/multi-agent-customer-support-assistant", "kernel_id": "101237434"}, {"ref": "shriaishwaryan/smart-task-manager-agent", "kernel_id": "101662475"}, {"ref": "mahimanvitha16/tutoragent-by-mahimanvitha", "kernel_id": "101910920"}, {"ref": "ekaterinadunovskaia/final-synthetic-data-agent", "kernel_id": "101445812"}, {"ref": "dushantrohane/guidex", "kernel_id": "101141111"}, {"ref": "ashrikajayawardhana/nov-2025-kagglexgoogle-capstone-project", "kernel_id": "101269094"}, {"ref": "humanalien1000/librarius-an-essay-writer-by-shivansh-mathur", "kernel_id": "101744885"}, {"ref": "sushmithaa13/mini-ai-data-assistant", "kernel_id": "101857730"}, {"ref": "dikesh1994/insightstream-ai-capstone-project", "kernel_id": "101544743"}, {"ref": "harshgupta4444/lifesync-assistant", "kernel_id": "101325439"}, {"ref": "sneharangole/careercompass-autoapply", "kernel_id": "101638384"}, {"ref": "sheemamasood/ai-powered-task-manager-capstone-project", "kernel_id": "101443155"}, {"ref": "venkatadurgasrisatya/stock-analyzer-agent", "kernel_id": "101860844"}, {"ref": "salounidas/tripplanner-ai", "kernel_id": "101724642"}, {"ref": "kunjpandya1/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101659554"}, {"ref": "durgamanikandan/google-project", "kernel_id": "101252304"}, {"ref": "tvsridurga/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101862543"}, {"ref": "bijivemulasusmitha/ai-powered-accident-prediction-and-alert-system", "kernel_id": "101641909"}, {"ref": "saiabhinavsadineni/insightagent-the-personal-research-concierge", "kernel_id": "101855050"}, {"ref": "mansirajapurkar/capstone-project", "kernel_id": "101749745"}, {"ref": "meghanachollangi/capstone-notebook", "kernel_id": "101710021"}, {"ref": "amanatar/the-alpha-seeker-autonomous-trading-agent-adk", "kernel_id": "101274488"}, {"ref": "mohammedniloy/gym-helper-agent-capstone", "kernel_id": "101154065"}, {"ref": "purvajanarayana/ai-project-manager-capstone", "kernel_id": "101595128"}, {"ref": "prasad2173/store-sales-summary-14-day-forecast-using-gemini", "kernel_id": "101817117"}, {"ref": "charanb5/data-sentry", "kernel_id": "101549128"}, {"ref": "bhuvanjakkala/mindmatrix-ai-agent-assistant", "kernel_id": "101466331"}, {"ref": "nagulakoushikgoud/smarty-agent-project", "kernel_id": "101019198"}, {"ref": "mandalaabhiram/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101518247"}, {"ref": "irwanprabowo/healthy-lunch-planner-ai", "kernel_id": "101010132"}, {"ref": "esthetique/agents-intensive-final-project", "kernel_id": "101042325"}, {"ref": "balaschandrasekaran/jarc-agent", "kernel_id": "101272750"}, {"ref": "clancylin/brainshift-trend-predictions", "kernel_id": "101630562"}, {"ref": "swetharbarade/mitre-powered-threat-detection", "kernel_id": "101498757"}, {"ref": "adityak2409/rural-health-dispatch-orchestrator", "kernel_id": "101182338"}, {"ref": "srustisampad/multi-agent-wellness-companion", "kernel_id": "101844285"}, {"ref": "blesstobasiljoy/automated-hr-assistant", "kernel_id": "101876924"}, {"ref": "snehalpatil14/timewrap-agent", "kernel_id": "101299395"}, {"ref": "armughanaslam97/ai-personal-accountability-assistant", "kernel_id": "101286625"}, {"ref": "sangeethaj2610/ecoscan", "kernel_id": "101196786"}, {"ref": "junesdata/edubridge", "kernel_id": "101462146"}, {"ref": "sagarkr123/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101470294"}, {"ref": "yimgakevin/notebook3f7ca09bfe", "kernel_id": "101535716"}, {"ref": "rsingla1301/mindroute-ai", "kernel_id": "101162982"}, {"ref": "emanuelokello/ursbserviceagent", "kernel_id": "101662711"}, {"ref": "str0211new/vagabond-agent", "kernel_id": "101755693"}, {"ref": "samikshachan1022/capstone-project", "kernel_id": "101665046"}, {"ref": "rohanmali0/news-article-generate-agent", "kernel_id": "101853425"}, {"ref": "prabhatlodhi/mediguard", "kernel_id": "101460193"}, {"ref": "bijiths/stock-market-analysis-agent", "kernel_id": "101504026"}, {"ref": "shubhu8675/research-concierge-agent-kaggle-capstone", "kernel_id": "101266136"}, {"ref": "manunainala/notebooke8ac7695ac", "kernel_id": "101031636"}, {"ref": "shreyadkale/study-life-concierge-agent", "kernel_id": "101250879"}, {"ref": "alps00/trend-watch", "kernel_id": "101871219"}, {"ref": "shwetaithape/smart-work-life-balance-assistant-ai-agent", "kernel_id": "101478646"}, {"ref": "eniyag/document-analyer", "kernel_id": "101382779"}, {"ref": "saireethu/customer-support-agent", "kernel_id": "101423720"}, {"ref": "anujagarwal0406/fiscalguard", "kernel_id": "101462602"}, {"ref": "sameergudusabnadaf/fine-tune-bert-on-a-sentiment-analys", "kernel_id": "101188841"}, {"ref": "vidushisingh27/multiagent-disaster-response-system", "kernel_id": "101273689"}, {"ref": "ghowe2ai/automated-educational-agent-platform", "kernel_id": "101342155"}, {"ref": "kpilli/capstone-project-ai-powered-loan-processing-agent", "kernel_id": "101844124"}, {"ref": "muhammadinzamamk/organizational-pulse-agent-ai-employee-engagement", "kernel_id": "101483361"}, {"ref": "dhruvverma1010/planforge", "kernel_id": "101053277"}, {"ref": "harshogare167/studyflow-agent", "kernel_id": "101966640"}, {"ref": "aman140/multi-agent-research-citation-system", "kernel_id": "101022987"}, {"ref": "lysedegadam/smart-kitchen-agent", "kernel_id": "101262066"}, {"ref": "lysedegadam/personal-e-chef-agent", "kernel_id": "101373522"}, {"ref": "chathurikarathnasiri/ai-test-automation-agent", "kernel_id": "101161904"}, {"ref": "aayushraj10100/med-genie", "kernel_id": "101086140"}, {"ref": "manish0312/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101839339"}, {"ref": "vkchinnu/cricket-match-predictor-analyst-agent", "kernel_id": "101534824"}, {"ref": "sahilk13/ai-agent-travel-planner", "kernel_id": "101206857"}, {"ref": "jnanavid/smart-ai-study-agent", "kernel_id": "101662408"}, {"ref": "mritunjay213/smart-waste-sorting-recycling-assistant", "kernel_id": "101248869"}, {"ref": "nitinsen001/supportsphere-ai", "kernel_id": "101935928"}, {"ref": "bunny94/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101205490"}, {"ref": "saiimmani/ai-planner", "kernel_id": "101053890"}, {"ref": "maheshwargundawar/tripmaster-ai", "kernel_id": "101649968"}, {"ref": "saidivyakumbham/disaster-response-agent", "kernel_id": "101461616"}, {"ref": "hmnshudhmn24/personal-learning-mentor-agent-plma", "kernel_id": "101861600"}, {"ref": "rochithsphutane/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101460577"}, {"ref": "vijaysagina/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101713047"}, {"ref": "psappalaraju/daily-habit-agent", "kernel_id": "101661226"}, {"ref": "ahmadshahzad2414/careerpath", "kernel_id": "101456809"}, {"ref": "zenshiro/agent-aura-v2-0-competition-submission", "kernel_id": "101132995"}, {"ref": "mulukutlasarvani/cloud-immune-autonomous-ai-agent", "kernel_id": "101877457"}, {"ref": "sasi753/notebook42de7622d8sasi", "kernel_id": "101919705"}, {"ref": "julururaghavapranav/adith-enterprise-agent", "kernel_id": "101916328"}, {"ref": "amank06/social-media-manager-seo-research-auto-post", "kernel_id": "101520253"}, {"ref": "radhikasn24/smarty-ai", "kernel_id": "101451628"}, {"ref": "radhikasn24/smart-ai-com", "kernel_id": "101451351"}, {"ref": "nikhilkatkam13/tripalign-the-agent-that-aligns-your-trip", "kernel_id": "101478064"}, {"ref": "arjunsuryas/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101250429"}, {"ref": "riiaaa123/fork-of-mindmatrix-ai-agent-competition-a-82ed55", "kernel_id": "101027111"}, {"ref": "sahilalaknur/crisis-verifier-agent-veritas-3-o", "kernel_id": "101416871"}, {"ref": "bikramjeetdhar/notebook9d9786db9c", "kernel_id": "101911603"}, {"ref": "adityasingh9569/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101262631"}, {"ref": "chandana92/capestone", "kernel_id": "101642193"}, {"ref": "joshbgking0410/caribank-guardian-notebook", "kernel_id": "101922542"}, {"ref": "mahekahmedsayyed/ai-dream-analyzer-agent", "kernel_id": "101176357"}, {"ref": "varunbtech/medibuddy", "kernel_id": "101197731"}, {"ref": "poorva4/stock-investment-agent", "kernel_id": "101323955"}, {"ref": "tanikasahajwani/capstone-project", "kernel_id": "101014560"}, {"ref": "kripankms/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101466628"}, {"ref": "tusharsaigal01/nutri-navi-concierge-multi-ai-agent", "kernel_id": "101427261"}, {"ref": "parmeshgaud/student-study-planner-agent", "kernel_id": "101654254"}, {"ref": "muthupandi11/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101830057"}, {"ref": "aleenajoy61/parentwise", "kernel_id": "101524316"}, {"ref": "sunnys3s/smart-study-ai-agent-personalized-learning", "kernel_id": "101677467"}, {"ref": "hitanshjain7/eco-waste-wise-agent", "kernel_id": "101511907"}, {"ref": "sahilkavankar/notebook91192eaec2", "kernel_id": "101159942"}, {"ref": "sahilkavankar/smart-study-assistant-demo", "kernel_id": "101160449"}, {"ref": "mdesamia/customer-agent", "kernel_id": "101568177"}, {"ref": "darshanraibole/customer-agent", "kernel_id": "101514296"}, {"ref": "mahidharyadav/eduquest", "kernel_id": "101542183"}, {"ref": "ayyappan007/ai-based-multi-item-order-and-billing-system", "kernel_id": "101232640"}, {"ref": "termixslayer/fake-news-detector-multi-agent-system", "kernel_id": "101000702"}, {"ref": "sandeepsrajesh/smart-traffic-violation-detection-fine-predict", "kernel_id": "101226192"}, {"ref": "ksaikrishnamallesh/event-manage", "kernel_id": "101756817"}, {"ref": "ksaikrishnamallesh/travel", "kernel_id": "101753195"}, {"ref": "vinothanar151/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "101459747"}, {"ref": "sebastinebrijitwic/smart-study-agent-seb", "kernel_id": "101724467"}, {"ref": "juansrojas4669/final-project-emergence", "kernel_id": "101596665"}, {"ref": "jaishreeram0009/notebook69720a9a5b", "kernel_id": "101517000"}, {"ref": "harirajashekar/nutriscan-multi-agent-architecture", "kernel_id": "101776585"}, {"ref": "debadritahazra/linea-capstone-project", "kernel_id": "101013984"}, {"ref": "kaitlinkaiser/creative-brief-intelligence-agent", "kernel_id": "101935091"}, {"ref": "yourfiyan/customer-support-ai-agent-system", "kernel_id": "101504683"}, {"ref": "hexphantom/adaptive-math-agent-for-students", "kernel_id": "101734815"}, {"ref": "jineshbarot/autonomous-research-agent-systems", "kernel_id": "101006689"}, {"ref": "heliumdebug/helping-agent", "kernel_id": "101274853"}, {"ref": "kanikaramkishor/transcribe-pro", "kernel_id": "101196724"}, {"ref": "kaushalsgharat/multi-ai-agent-customer-support-care", "kernel_id": "101457252"}, {"ref": "kaushalsgharat/ai-agent-for-customer-care", "kernel_id": "101465806"}, {"ref": "tethibiswas/google-ai", "kernel_id": "101021646"}, {"ref": "vasantharaj12/autoagenda-x", "kernel_id": "101764146"}, {"ref": "tabassumarashaik/studyverse-multiverse-agent-system", "kernel_id": "101854284"}, {"ref": "rakshanaghouse/notebook60d8e49054", "kernel_id": "101267151"}, {"ref": "sachetbisi/clarity-ai", "kernel_id": "101584743"}, {"ref": "omdherange/greenguard-ai-energy-waste-detection-reduction", "kernel_id": "101530461"}, {"ref": "donalthenammackal/eduflow-scarfall", "kernel_id": "101649499"}, {"ref": "maheswarikaggle/capstone-project-scammessagedetectionagent", "kernel_id": "101883794"}, {"ref": "srinikaravichandran/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101861908"}, {"ref": "lijunwangaaron/scent-select-agent-lijun-wang-aaron", "kernel_id": "101802611"}, {"ref": "ridhisharma2210/mindmatrix-ai-agent-kaggle-competition-as-ee1b57", "kernel_id": "101434569"}, {"ref": "ridhisharma2210/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101434400"}, {"ref": "eashant/climateguard-ai", "kernel_id": "101786322"}, {"ref": "deepachandavarada/character-ai", "kernel_id": "101861761"}, {"ref": "jayantiraj/agent-todo-ai", "kernel_id": "101669167"}, {"ref": "patilganeshc/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101707204"}, {"ref": "keerthanamadugula/notebook6809573557", "kernel_id": "101731426"}, {"ref": "embedinker/medical-consent-forms", "kernel_id": "101231835"}, {"ref": "devisrimedapati/notebook7307446fce", "kernel_id": "101286844"}, {"ref": "puneethm15/privacy-guard", "kernel_id": "101019511"}, {"ref": "yashvish444/ai-powered-task-manager-with-automation", "kernel_id": "101297273"}, {"ref": "darshankambale/consumer-assistant", "kernel_id": "101974556"}, {"ref": "akhileshkuma/capstone-project", "kernel_id": "101715099"}, {"ref": "hariprasad1903/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101160512"}, {"ref": "bhumikaaher/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101167294"}, {"ref": "alinavshezad/google-stock-multi-agent-analyzer-gmaa", "kernel_id": "101682044"}, {"ref": "sarikondamanoharraju/ghostwriter", "kernel_id": "101031356"}, {"ref": "arnabk714/titanic-end-to-end-data-science-pipeline-by-arnab", "kernel_id": "101199882"}, {"ref": "bhartidivyansh/ai-multi-agent-career-guidance-system-capst-pro", "kernel_id": "101041485"}, {"ref": "gauriberad/dailyease-ai-assistant", "kernel_id": "101404739"}, {"ref": "mohammadnoushad7/my-personal-ai-task-helper", "kernel_id": "101191863"}, {"ref": "mayal7/creator-s-co-pilot", "kernel_id": "101173298"}, {"ref": "rahulgoswami006/ai-study-planner-focus-coach-agent", "kernel_id": "101030209"}, {"ref": "ravibalan11/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101225029"}, {"ref": "mekalameghanshi/fault-diagnosis-code", "kernel_id": "101463190"}, {"ref": "mekalameghanshi/diagnosis-of-fault-in-semiconductor-field", "kernel_id": "101495311"}, {"ref": "arnav1558/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101169642"}, {"ref": "arnav1558/mindmatrix-ai-agent-kaggle-competition-as-dd044f", "kernel_id": "101169645"}, {"ref": "danmody03/capstone-project-voyagemaster", "kernel_id": "101158856"}, {"ref": "pratheepapr49/satellite-sync-capstone-kaggle-notebook", "kernel_id": "101665543"}, {"ref": "mittapellinagaraju/ai-job-application-automation-agent-capstone-pro", "kernel_id": "101715148"}, {"ref": "birukullanikitha/notebookbdb88388f8", "kernel_id": "101668242"}, {"ref": "cyrilkoppula/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101851861"}, {"ref": "anilkumarmarmam/ai-agent-works-anil-kumar", "kernel_id": "101416218"}, {"ref": "kowshikgokul/agentic-ai", "kernel_id": "101547871"}, {"ref": "divyanjali2000/holisticai-capstone-project", "kernel_id": "101921615"}, {"ref": "rahulduvasi/learnbuddy-ai-study-coach-agents-for-good-capst", "kernel_id": "101887791"}, {"ref": "adityakr00/smart-study-agent", "kernel_id": "101409826"}, {"ref": "gejaish/notebook1e7087e584", "kernel_id": "101282994"}, {"ref": "bhatnagararyan/cognito-ai-agent-kaggle-competition-assistant", "kernel_id": "101498548"}, {"ref": "nareshkumar0001/flowpilot-ai", "kernel_id": "101674942"}, {"ref": "preethishanmugam03/cross-functional-decision-clarity-agent-dcga", "kernel_id": "101546190"}, {"ref": "kamrankhan87/notebooke4fa985573", "kernel_id": "101316689"}, {"ref": "sanikakondalkar/notebookb796329896", "kernel_id": "101699885"}, {"ref": "joshilucky/careguide-ai-capstone-project", "kernel_id": "101004982"}, {"ref": "abhishekdamar/smart-meal-planner", "kernel_id": "101950787"}, {"ref": "debi1234/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101893188"}, {"ref": "dennispang626/paperwork-digital-admin-assistant", "kernel_id": "101535561"}, {"ref": "omendra123/research-paper-analysis-agent", "kernel_id": "101651029"}, {"ref": "snehasuresh01/capstone-project-write-less-do-more-web-builder", "kernel_id": "101140717"}, {"ref": "sunkarivijaykumar643/notebook60f0478b0c", "kernel_id": "101201772"}, {"ref": "gireesh10/etl-guardian-notebook", "kernel_id": "101726618"}, {"ref": "shripadshrigiri/notebook33038bf20f", "kernel_id": "101167873"}, {"ref": "shivanshkapur/global-community-crisis-navigator-gccn-kaggle", "kernel_id": "101256747"}, {"ref": "vishalag07/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101210386"}, {"ref": "kundrapuramkumar/multi-agent-business-intelligence-assistant", "kernel_id": "101899577"}, {"ref": "gsmadhav13/rockstars-team", "kernel_id": "101504432"}, {"ref": "monikabhaskar/wildlife-image-classification", "kernel_id": "101537174"}, {"ref": "aghabasitshah/workflow-zero-abdul-basit-shah", "kernel_id": "101733270"}, {"ref": "kiranjadi/resumegenie-ai-agent", "kernel_id": "101256785"}, {"ref": "umashankarkanaujiya/multi-agent-customer-support-assistant", "kernel_id": "101530412"}, {"ref": "sohamdasx5/dyslexfree-navigator-agent", "kernel_id": "101189496"}, {"ref": "aleehamza34/creator-s-co-pilot", "kernel_id": "101865966"}, {"ref": "ayushpandey1413/study-buddy", "kernel_id": "101012301"}, {"ref": "garrepalliruwankumar/edumentor-v2", "kernel_id": "101311346"}, {"ref": "garrepalliruwankumar/edumentor-v3", "kernel_id": "101541874"}, {"ref": "affan07/intelligrade-agent", "kernel_id": "101774457"}, {"ref": "soumyapadma/neurobuddy-ai-study-buddy-agent-for-students", "kernel_id": "101117802"}, {"ref": "waseemabbas13/ai-travel-planner-build-and-visualize-your-route", "kernel_id": "101271318"}, {"ref": "mukthanjalibonala/sentinels-multimodal-disaster-intelligence-agent", "kernel_id": "101864464"}, {"ref": "dattaayyagari/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101143592"}, {"ref": "shirsambhattacharjee/notebookcd44a196e9", "kernel_id": "101730159"}, {"ref": "pushkargajpal/daily-task-organizer-agent", "kernel_id": "101558607"}, {"ref": "gssreshta/mindmatrix-ai-agent-kaggle-competition-as-ba652e", "kernel_id": "101504237"}, {"ref": "nshinge/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101470016"}, {"ref": "zainabkhanam999/ai-health-follow-up-medication-reminder-agent", "kernel_id": "101272608"}, {"ref": "rajsaketh/production-support-autonomous-ai-agent", "kernel_id": "101039564"}, {"ref": "aiswaryamols/safeplate-ai", "kernel_id": "101689861"}, {"ref": "nhanqvist/ecogene", "kernel_id": "101878830"}, {"ref": "thirneddipardhu/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101306938"}, {"ref": "rohitshaw2125/notebook9313b0fd7f", "kernel_id": "101664324"}, {"ref": "nishukumari28/notebook0f208c7fc0", "kernel_id": "101663704"}, {"ref": "nagamanirajulapati/grand-success", "kernel_id": "101274019"}, {"ref": "nadiababar/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101902029"}, {"ref": "aditisinha05/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101903660"}, {"ref": "rajpriyam11/empathai", "kernel_id": "101418200"}, {"ref": "asuryanarayan/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101925436"}, {"ref": "kushwahaanshu/smartcareer", "kernel_id": "101539728"}, {"ref": "divyesh2008/ai-hardware-troubleshooting-agent-codes", "kernel_id": "101279808"}, {"ref": "sahilmopkharulshaikh/dualmind-agent", "kernel_id": "101693060"}, {"ref": "vaishnavak001/multi-ai-agent-website-creator", "kernel_id": "101286611"}, {"ref": "waffled/ai-study-buddy", "kernel_id": "101023382"}, {"ref": "siya12yadav/rainfall-analytics-forecasting-ai-agent-capsto", "kernel_id": "101505851"}, {"ref": "dhritidixit/capstone-project-eunoia", "kernel_id": "101554298"}, {"ref": "mukulprsd/proactive-ai-productivity-manager", "kernel_id": "101171894"}, {"ref": "shahsaugat/crisis-fact-checker-agent", "kernel_id": "101888722"}, {"ref": "angelrosejose/ai-voice-beats", "kernel_id": "101697096"}, {"ref": "anikethgoudkanthi/insightflow-a-sql-grounded-analytics-copilot", "kernel_id": "101355374"}, {"ref": "sanilsebastian/ai-powered-movie-review-sentiment-classifier", "kernel_id": "101122203"}, {"ref": "padminijampana/capstone-mindmatrix", "kernel_id": "101528993"}, {"ref": "padminijampana/mind-matrix-ai-01", "kernel_id": "101515771"}, {"ref": "padminijampana/mind-matrix-ai-agent", "kernel_id": "101519838"}, {"ref": "mullaasma/ai-study-planner-agent-notebook", "kernel_id": "101002949"}, {"ref": "shuvam05/kaggleflow-ai-agent", "kernel_id": "101931632"}, {"ref": "anilkumartanniru/smartai", "kernel_id": "101120734"}, {"ref": "raeree/parents-research-assistant", "kernel_id": "101686857"}, {"ref": "tejakaswinigmailcom/ai-powered-multi-agent-study-research-assistant", "kernel_id": "101689264"}, {"ref": "gmathankumar/multiagent-ai-system-maais", "kernel_id": "101226780"}, {"ref": "ayaanhyder/debatebot", "kernel_id": "101426199"}, {"ref": "princeptl07/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101444484"}, {"ref": "ajaypandey876/notebook67225e8cd9", "kernel_id": "101745832"}, {"ref": "rudranilhazra/chefmate-the-vision-powered-ai-chef", "kernel_id": "101517966"}, {"ref": "shahdaabpeer/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101853002"}, {"ref": "soumyabhhogldrfedecv/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101459811"}, {"ref": "vinothkumarmech/gemini-powered-smart-maintenance-orchestrator", "kernel_id": "101156385"}, {"ref": "sanjeevkoshti/notebookc32b1e3042", "kernel_id": "101273556"}, {"ref": "jayashreegarai/ayurvedic-ai-akka", "kernel_id": "101221138"}, {"ref": "shaikkhaja159/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101808276"}, {"ref": "bibekanandameher/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101252517"}, {"ref": "sanskritikrishna/life-concierge-py", "kernel_id": "101950819"}, {"ref": "srisakethdevaraju/ml-pipeline-for-multiclass-prediction", "kernel_id": "101273855"}, {"ref": "vigneshvicky17/the-supply-chain-sentinel-enterprise-agent", "kernel_id": "101877682"}, {"ref": "pradnyashrungare/kulguru", "kernel_id": "101717592"}, {"ref": "gnanendrayadav/quizcraft-ai-agent", "kernel_id": "101463519"}, {"ref": "moulshreesahu/clickcage", "kernel_id": "101740728"}, {"ref": "swajanyadonagare/horizon", "kernel_id": "101413678"}, {"ref": "sandeepchandrasagar/the-capstone-companion-an-ai-agent", "kernel_id": "101156353"}, {"ref": "patelvedvinodkumar/eco-bot-agent", "kernel_id": "101232967"}, {"ref": "sapna04111/mindmatrix-ai-agent-kaggle-competition-as-adb69f", "kernel_id": "101484520"}, {"ref": "nitesh0987/capstone-project-12", "kernel_id": "101432591"}, {"ref": "muralibalam/notebookf9573175e4", "kernel_id": "101181572"}, {"ref": "bhosaletanishka/notebooka30a492d05", "kernel_id": "101423332"}, {"ref": "babisha005/capstone-real-time-market-analyst", "kernel_id": "101670644"}, {"ref": "tani002/tanishaaaa", "kernel_id": "101701718"}, {"ref": "mohdabdullahmalick/smart-shopping-agent-track3-v1", "kernel_id": "101155784"}, {"ref": "pinkimondal/lifeflow-unified-multi-agent", "kernel_id": "101927870"}, {"ref": "pratibhapurawat/to-do-list-manager", "kernel_id": "101411140"}, {"ref": "thirupathivenkat/smart-medicine-adherence-agent", "kernel_id": "101922699"}, {"ref": "udaykirangb/bio-sentinel-multi-agent-system", "kernel_id": "101007801"}, {"ref": "nahidoulislam/customer-agent-assist-about-problems", "kernel_id": "101898368"}, {"ref": "harshyadav89/moodswings", "kernel_id": "101422820"}, {"ref": "pratyushalye25/ai-powered-smart-health-companion-development", "kernel_id": "101150265"}, {"ref": "saudabdulmutallib/capstone-project", "kernel_id": "101755558"}, {"ref": "ayushmahajan22/custmor-agent", "kernel_id": "101613257"}, {"ref": "sameerlohkare/ai-driven-healthcare-chatbot", "kernel_id": "101164306"}, {"ref": "tanvijadhav01/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101195655"}, {"ref": "deepak457/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101424957"}, {"ref": "deepak457/mindmatrix-ai-agent-kaggle-competition-as-111cba", "kernel_id": "101425279"}, {"ref": "tanaypal/insightforge-multi-agent-research-system", "kernel_id": "101207709"}, {"ref": "muhammmedfaris/notebookeae0094807", "kernel_id": "101378495"}, {"ref": "mehak2008/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101265264"}, {"ref": "himanshuverma982/ds-agent", "kernel_id": "101199686"}, {"ref": "mamonalom/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101641588"}, {"ref": "athulmohandevkar/the-iep-copilot-education", "kernel_id": "101641353"}, {"ref": "anandpkt/notebook234a900e1f", "kernel_id": "101493409"}, {"ref": "aadityapareek4606/study-buddy", "kernel_id": "101533737"}, {"ref": "chetantejak/studybot-your-personal-ai-learning-partner", "kernel_id": "101021245"}, {"ref": "abilashsankar/personal-finance-expense-assistant-agent", "kernel_id": "101402872"}, {"ref": "surajgupta7288/multi-aggent-llm", "kernel_id": "101730501"}, {"ref": "nandukumarkoribilli/ai-task", "kernel_id": "101557975"}, {"ref": "patelriva/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101050112"}, {"ref": "puneetkapoor307/multi-agent-disaster-response-coordinator", "kernel_id": "101291564"}, {"ref": "kewinsebaasti/engorch-dependabot", "kernel_id": "101527826"}, {"ref": "shashank0712/smart-flight-uav-planner", "kernel_id": "101939724"}, {"ref": "techie22222222/careergenie-ai-multi-agent-interview-prep-system", "kernel_id": "101603192"}, {"ref": "sathish220902/notebookd4144d4b91", "kernel_id": "101722584"}, {"ref": "sathish220902/notebook2b25e73052", "kernel_id": "101167298"}, {"ref": "adithyaranjith007/ai-travel-planner", "kernel_id": "101442262"}, {"ref": "harshithgutam/ai-personal-study-assistant", "kernel_id": "101776909"}, {"ref": "jefield/astradream-ai-agent-2", "kernel_id": "101846322"}, {"ref": "lovekesh1717/agent-intensive", "kernel_id": "101078468"}, {"ref": "mis123soum/diabetes-prediction-using-ml", "kernel_id": "101865649"}, {"ref": "techuhat/security-aware-guardian-automated-threat-detecti", "kernel_id": "101933969"}, {"ref": "renukansara/agents-for-good-with-ai", "kernel_id": "101900851"}, {"ref": "subarnaghosh173/customer-agent", "kernel_id": "101766570"}, {"ref": "dineshs2122/notebookdbce119f3a", "kernel_id": "101692408"}, {"ref": "dineshs2122/notebooka0d791ade7", "kernel_id": "101726439"}, {"ref": "dineshs2122/notebookb9606b3b30", "kernel_id": "101716658"}, {"ref": "niyasmohamed7/daily-marketing-planner-agent-final-version", "kernel_id": "101043176"}, {"ref": "nandinidonadula/book-buddy", "kernel_id": "101188953"}, {"ref": "nilabhtiwari/demiba", "kernel_id": "101343110"}, {"ref": "harshan3004/notebookdfa17de6cd", "kernel_id": "101921281"}, {"ref": "mayankraj778/mindmatrix-ai-agent-kaggle-competition-as-ddafd0", "kernel_id": "101014591"}, {"ref": "kusumanchiarun/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101159121"}, {"ref": "charankusumanchi/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101293752"}, {"ref": "charankusumanchi/mindmatrix-ai-agent-kaggle-competition-as-dd1f7e", "kernel_id": "101297408"}, {"ref": "shreejithvm/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101509885"}, {"ref": "satyamai1/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101868783"}, {"ref": "elishamalayilmoncy/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101200181"}, {"ref": "hardhikm/public-policy-agent", "kernel_id": "101288388"}, {"ref": "safakhanum15/aura-ai-assistant", "kernel_id": "101776156"}, {"ref": "devajarya/isekai-squad-protocol", "kernel_id": "101980973"}, {"ref": "angelinjose/notebook6282c1a48b", "kernel_id": "101112358"}, {"ref": "alanjoseph1234/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101270234"}, {"ref": "alanjoseph1234/mindmatrix-ai-agent-kaggle-competition-as-37525a", "kernel_id": "101270491"}, {"ref": "priyambicamaroju/eldersync", "kernel_id": "101870046"}, {"ref": "harpreetkaur042/smartfit", "kernel_id": "101944458"}, {"ref": "supdiptagiri123456/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "101480801"}, {"ref": "madhurigubbala91/day-1-evaluation-and-structured-output", "kernel_id": "101444780"}, {"ref": "giteshgarge/lifeos-multiagent-memory", "kernel_id": "101675063"}, {"ref": "harishsriramula/coders-ai-agent-kaggle-competition-assistant", "kernel_id": "101243078"}, {"ref": "suyashpawara/smart-study-agent", "kernel_id": "101269083"}, {"ref": "evanwiley/phantom-trace-ai-video-forensics-ipynb", "kernel_id": "101553072"}, {"ref": "raviganjir/ultimate-assistant-py", "kernel_id": "101277286"}, {"ref": "pravallikareddym/autohealth", "kernel_id": "101614187"}, {"ref": "zenobiadmello/tutobot", "kernel_id": "101522149"}, {"ref": "imtaiajurrahman/mindmatrix-ai-agent-for-google", "kernel_id": "101037656"}, {"ref": "asifemon/mindmatrix-ai-agent-for-google", "kernel_id": "101044957"}, {"ref": "mithieshd/personal-ai-concierge-assistant", "kernel_id": "101400946"}, {"ref": "sakshiyadav0604/intentsense-a-smart-zero-shot-nlp-agent", "kernel_id": "101896461"}, {"ref": "kalps2921/mindmatrix-ai-agent-kk", "kernel_id": "101710946"}, {"ref": "lucamassaron/agentic-ai-kaggle-competition-assistant", "kernel_id": "102905728"}, {"ref": "kuberj/numerology-oracle-agent", "kernel_id": "102197510"}, {"ref": "basquiat/fantasyepl-capstone", "kernel_id": "102991177"}, {"ref": "rj1993/greenchain-enterprise-multi-agent-supply-chain", "kernel_id": "102238291"}, {"ref": "dhruvitgolakiya/devil-s-advocate-investment-council", "kernel_id": "102469338"}, {"ref": "r50206v/reguai-automated-compliance-report-generator", "kernel_id": "102277415"}, {"ref": "powerjet/oil-price-prediction-agent", "kernel_id": "102977048"}, {"ref": "nmasamba/multi-agent-insurance-claim-autorep-maica", "kernel_id": "102361370"}, {"ref": "anneou/pii-privacy-validator", "kernel_id": "102928019"}, {"ref": "dloretoq/job-search-agents-capstone", "kernel_id": "102926243"}, {"ref": "deepthimegh/nutriassist", "kernel_id": "102702013"}, {"ref": "sunyan03/smart-travel-planning-agent", "kernel_id": "102344649"}, {"ref": "vv4zir/pte-test-prep-with-ai-agents", "kernel_id": "102960193"}, {"ref": "krishmoh/track-agents-for-good-eduagent", "kernel_id": "102877371"}, {"ref": "innacampo/lucia-agent-deployment", "kernel_id": "102899253"}, {"ref": "mk93230/datadialogue-kamal", "kernel_id": "102794957"}, {"ref": "jacobhsu/travel-agent", "kernel_id": "102847811"}, {"ref": "pratik2901/multi-agent-corporate-credit-underwriting", "kernel_id": "102860955"}, {"ref": "mdrummond/ai-intensive-personalized-language-trainer", "kernel_id": "102690404"}, {"ref": "sharmitha/capstone-project-notebook", "kernel_id": "102776327"}, {"ref": "sandeepraopk/auto-tester-for-production-level-code-generation", "kernel_id": "102897435"}, {"ref": "kritidoneria/lokai-democratizing-ai-learning-for-india", "kernel_id": "102937309"}, {"ref": "santhuraj/the-agentic-matrimonial-negotiation-system", "kernel_id": "102788908"}, {"ref": "previmat/market-intel-agent", "kernel_id": "102704938"}, {"ref": "aathiraks/ai-cover-letter-generator", "kernel_id": "102727486"}, {"ref": "prathimadamarshetty/smartagent-tripplanner", "kernel_id": "102417404"}, {"ref": "shubhamsugara22/penguin-ai-agent-documentation", "kernel_id": "102961426"}, {"ref": "tmsadr/adk-sequentialagent-travel-planner-atp", "kernel_id": "102125552"}, {"ref": "tapanhegde/research-paper-analyzer-agents", "kernel_id": "102414314"}, {"ref": "leoxu2001/travel-planner", "kernel_id": "102904112"}, {"ref": "dwipal123/auto-patch-pr-agent", "kernel_id": "102440689"}, {"ref": "raniadhaduk/scan2sort", "kernel_id": "102045226"}, {"ref": "hankbo/capstone-project-open-source-contributor-copilot", "kernel_id": "102586498"}, {"ref": "dixk83/smart-trip-a-multi-agent-travel-itinerary-budge", "kernel_id": "102902596"}, {"ref": "arunav08/enterprise-incident-runbook-copilot", "kernel_id": "102414088"}, {"ref": "gulzar8/habit-mood-tracking-agent", "kernel_id": "102593934"}, {"ref": "ashishchiluka/notebook5931b67084", "kernel_id": "102714721"}, {"ref": "ym21308648/franceroute-smart-tsp-routing", "kernel_id": "102388367"}, {"ref": "mercuzio/prompts", "kernel_id": "102572686"}, {"ref": "roshenantony/hoaxhunter-guardian-agent", "kernel_id": "102976556"}, {"ref": "kmldas/ai-agent-for-good-socratic-tutor", "kernel_id": "102101195"}, {"ref": "sreelakshmitd/pulsetrace-multi-agent-rca", "kernel_id": "102878804"}, {"ref": "ishwar06/capstone-project-intellistudy", "kernel_id": "102524522"}, {"ref": "gongcr12/toddler-s-whybuddy-toy", "kernel_id": "102985752"}, {"ref": "twogenies/multi-agent-arch-research", "kernel_id": "102417383"}, {"ref": "cid007/kaggle-experiments-agentic-portfolio", "kernel_id": "102667675"}, {"ref": "sonaalpradeep/research-conversation-agent-google-adk-capstone", "kernel_id": "102962963"}, {"ref": "sugarbam/supply-chain-negotiator-agent-intensive-capstone", "kernel_id": "102947245"}, {"ref": "priyamanisrgm/capstone-project-threatvision-pro", "kernel_id": "102153520"}, {"ref": "akshayabalaji/study-assistant-kaggle-ai-agents-capstone", "kernel_id": "102394277"}, {"ref": "oxzplvifi/arithmetic-tutor", "kernel_id": "102701421"}, {"ref": "samirsdoshi/ruleengineagent-ipynb", "kernel_id": "102631811"}, {"ref": "snamdeo111/nexus-orchestrator-a-multi-agent-framework", "kernel_id": "102660441"}, {"ref": "alithomas279/ai-personal-study-planner-agent-s", "kernel_id": "102139950"}, {"ref": "ishanayus/rpm-guardians", "kernel_id": "102440191"}, {"ref": "kossssa/ai-agents-capstone-project", "kernel_id": "102479973"}, {"ref": "tohchinseng/agent-athena", "kernel_id": "102941978"}, {"ref": "adityapandit/study-buddy-capstone-project-submission", "kernel_id": "102542751"}, {"ref": "anthonycox/notebook690fc0c925", "kernel_id": "102995164"}, {"ref": "jossinavijita/multi-agent-ai-code-security-quality-analysis", "kernel_id": "102452894"}, {"ref": "junichiromorita/japanese-regional-cuisine-agent", "kernel_id": "102116515"}, {"ref": "rineeshmathew/collaborative-data-analyst-agent", "kernel_id": "102696466"}, {"ref": "antonellomartiello/dynamic-s-op-agent-for-gelato-production", "kernel_id": "102666350"}, {"ref": "nkad2020/capstone-investment-researcher", "kernel_id": "102632488"}, {"ref": "sowieeem/offline-drug-drug-interaction-checker-agent", "kernel_id": "102468718"}, {"ref": "xjoannax88/ai-writing-assistant", "kernel_id": "102977539"}, {"ref": "dushyant28/crime-analysis-for-criminal-profiling", "kernel_id": "102230112"}, {"ref": "andlibsaif/notebook38c4f5aa6b", "kernel_id": "102719821"}, {"ref": "sulthannk/glow-guide-ai", "kernel_id": "102213465"}, {"ref": "ruperthart/personal-agentic-tour-guide", "kernel_id": "102860116"}, {"ref": "aishwaryasm/capstoneproject-personal-task-planner", "kernel_id": "102901519"}, {"ref": "ibrahimelmusty/startup-buddy", "kernel_id": "102329662"}, {"ref": "haozhengqiu/the-intelligent-value-analyst", "kernel_id": "102994728"}, {"ref": "shonferrao/ai-trip-planner", "kernel_id": "102765859"}, {"ref": "santhoshagumamidi/vitality-personal-health-orchestrator", "kernel_id": "102907409"}, {"ref": "krithikkommareddy/claims-pre-screen-agent", "kernel_id": "102376827"}, {"ref": "yashwardhanbhangdia/marketsmart-auto-monitor-explain-agent", "kernel_id": "102310125"}, {"ref": "manikandanl/education-agent", "kernel_id": "102428555"}, {"ref": "akashpanik/agents", "kernel_id": "102803917"}, {"ref": "revanthrajaboina/cloudoneassistant", "kernel_id": "102718216"}, {"ref": "sonaliparekh/habitledger", "kernel_id": "102844396"}, {"ref": "vishukulkarni/stem-tutor", "kernel_id": "102351468"}, {"ref": "vyankateshgoski/frugalagent", "kernel_id": "102593541"}, {"ref": "poovarasanp/nivara-ai", "kernel_id": "102314211"}, {"ref": "sunsesh/notebookb41da0ead3", "kernel_id": "102707984"}, {"ref": "agungpambudi/multi-agent-rural-healthcare-navigation-system", "kernel_id": "102811630"}, {"ref": "palanimanipg/ai-legal-concierge-agent-pakapa", "kernel_id": "102448202"}, {"ref": "sreelekshminair/demo-agentic-workforce-scheduling-validator", "kernel_id": "102921242"}, {"ref": "antonyarulsurya/mealplanmate", "kernel_id": "102843579"}, {"ref": "siddhantwadhwa/exam-agent", "kernel_id": "102058838"}, {"ref": "roozbehbazargani/travel-planner", "kernel_id": "102277484"}, {"ref": "mikegallagher5001/weather-agent", "kernel_id": "102999478"}, {"ref": "edwardgrant/agents-intensive-capstone-ai-golf-coach", "kernel_id": "102676563"}, {"ref": "jahnaviumarji/carepath-an-intelligent-patient-navigation-agent", "kernel_id": "102711656"}, {"ref": "limyujie/eduaid-agent", "kernel_id": "102175050"}, {"ref": "shakirmohamm/shakir-s-funny-assistant", "kernel_id": "102902442"}, {"ref": "rdxgaming/nexus-capstone-version-1", "kernel_id": "102961689"}, {"ref": "mustafamu/quizzer-chatbot-agent", "kernel_id": "102807216"}, {"ref": "dwibudisantoso/google-capstone-project-dbs", "kernel_id": "102526869"}, {"ref": "camreon/team-seattle-capstone-project", "kernel_id": "102626930"}, {"ref": "abhilakshyaagarwal/tokyo-local-travel-planner-itinerary-agent", "kernel_id": "102595136"}, {"ref": "harshalsanjivpatil/ai-job-market-insider-and-career-advisor", "kernel_id": "102628217"}, {"ref": "mayurjain0007/agentic-rag-codebase-documenter", "kernel_id": "102495102"}, {"ref": "louisjin/eventrecommender", "kernel_id": "102818464"}, {"ref": "ghaaribkhurshid/skillsprint-the-ai-micro-course-concierge", "kernel_id": "102091168"}, {"ref": "jovchev/medicationguardian-agentforgood", "kernel_id": "102910618"}, {"ref": "nasrullahchandio/notebook3fdeb1d37d", "kernel_id": "102722585"}, {"ref": "ayodejiyekeen/high-quality-content-creation-agent", "kernel_id": "102956824"}, {"ref": "jocelyndumlao/concierge-agent", "kernel_id": "102006691"}, {"ref": "anirudhakuchibhotla/ai-assistant-for-business-intelligence", "kernel_id": "102818694"}, {"ref": "konavagadheeswari/zero-shot-data-cleaning-system", "kernel_id": "102338100"}, {"ref": "srobonaghosh/taskmaster-ai-multi-agent-task-management-system", "kernel_id": "102478125"}, {"ref": "amlanacharya/jarvis-0-3", "kernel_id": "102619988"}, {"ref": "naazimhussain/policy-solution-creator", "kernel_id": "102214883"}, {"ref": "navedgaras/ai-powered-service-booking-assistant", "kernel_id": "102990010"}, {"ref": "chandanasree/capstone-community-resource-navigator", "kernel_id": "102253545"}, {"ref": "blzz2net/robotics-experiment-intelligence-agent", "kernel_id": "102936071"}, {"ref": "harshadajaveri/multi-agent-qaops-orchestrator", "kernel_id": "102898452"}, {"ref": "darshilmaru4/darshil-asac-project", "kernel_id": "102074311"}, {"ref": "dmitriygorlov/apply", "kernel_id": "102274864"}, {"ref": "yuanlinpan/job-interview-prep-advisor-agent", "kernel_id": "102023615"}, {"ref": "jothikar/image-to-marketing-multi-agent-using-google-adk", "kernel_id": "102945376"}, {"ref": "hynk1240/boundary-first-agent", "kernel_id": "102918975"}, {"ref": "dharineesh17/voice-based-restaurant-billing-app", "kernel_id": "102766635"}, {"ref": "ttaestk/synapse-agent-academic-literature-review-agent", "kernel_id": "102667795"}, {"ref": "mugunth123/earthguardian", "kernel_id": "102401058"}, {"ref": "semihcabir/equations-solver-still-in-progress", "kernel_id": "102865364"}, {"ref": "joannanawara/biology-game-puzzle-agent", "kernel_id": "102240222"}, {"ref": "pegasuschild/careerforge-ai", "kernel_id": "102163377"}, {"ref": "kukkadapuchandini/multi-agent-customer-support", "kernel_id": "102980207"}, {"ref": "kukkadapuchandini/smarty", "kernel_id": "102966361"}, {"ref": "emanafi/research-assistant-agent", "kernel_id": "102978159"}, {"ref": "fatemakatawala/frugalagent", "kernel_id": "102716803"}, {"ref": "sheriffcodechef143/project-capstone", "kernel_id": "102633425"}, {"ref": "tohgo105/weather-aware-weekend-planner", "kernel_id": "102537683"}, {"ref": "sohagaroy/customer-support-agent-green-ai", "kernel_id": "102992637"}, {"ref": "freak014/crisis-resource-coordination-bot-covid19", "kernel_id": "102258117"}, {"ref": "vidyaoff2021/diaclinicaltrial", "kernel_id": "102344554"}, {"ref": "kietng/food-waste-agent", "kernel_id": "102730095"}, {"ref": "vanisreepg/education-tutor-automated-exam-paper-generator", "kernel_id": "102876951"}, {"ref": "hembhavsar/the-ghost-meeting-protocol", "kernel_id": "102803716"}, {"ref": "firastlili/ai-travel-concierge-multi-agent-trip-planner", "kernel_id": "102907863"}, {"ref": "najo1on1/agent-cloud-scheduler", "kernel_id": "102391292"}, {"ref": "kethansaikoneru/bizintel-using-llm", "kernel_id": "102341602"}, {"ref": "alioraji/escape-room-game-master", "kernel_id": "102079497"}, {"ref": "hamedziraksaz/newborn-helper-agent", "kernel_id": "102674550"}, {"ref": "harishkanuri/notebook9e08b082e1", "kernel_id": "102996466"}, {"ref": "swagatobhaskar/history-summary-fact-check-verify-random-claims", "kernel_id": "102342011"}, {"ref": "devaanandan/auragrow-advisor-final", "kernel_id": "102697606"}, {"ref": "vipinsreedharan/hybrid-multi-agent-equity-valuation-reporting", "kernel_id": "102761518"}, {"ref": "srikanthvaishnav/notebookb133b1d0b9", "kernel_id": "102454556"}, {"ref": "zunairahamza/scholargraph-multi-agent-research-conceirge", "kernel_id": "102994480"}, {"ref": "vikasjayakumar/silent-guardian-safety-ai-agent", "kernel_id": "102356923"}, {"ref": "sattyss/edu-agent", "kernel_id": "102543597"}, {"ref": "sumn2u/dwaste-recycling-agent-waste-classification", "kernel_id": "102436406"}, {"ref": "tamannasahoo/legacy-ai-agent", "kernel_id": "102466144"}, {"ref": "upparapallibrahmi/multi-agent-document-intelligence", "kernel_id": "102340210"}, {"ref": "pratikc88/ai-enterprise-compliance-agent", "kernel_id": "102994180"}, {"ref": "lukmanaliyuj/pharmasafe-multi-agent-drug-interaction-checker-w", "kernel_id": "102433485"}, {"ref": "harshit264/tripwise", "kernel_id": "102325763"}, {"ref": "jayagopal20/multi-agent-email-campaign", "kernel_id": "102990493"}, {"ref": "dipsv108/notebookc5aa98bfdd", "kernel_id": "102932559"}, {"ref": "arunprakash5111/project", "kernel_id": "102102671"}, {"ref": "krithikgokuls/ai-agents-with-fights", "kernel_id": "102968031"}, {"ref": "abhishekbhamidipati/notebook200e01f5fc", "kernel_id": "102995031"}, {"ref": "vermaaishvarya/journullist-v3-7", "kernel_id": "102955820"}, {"ref": "ananthu19/multi-agent-customer-service-system", "kernel_id": "102226460"}, {"ref": "kpratyush12/mylife-concierge-ai-life-os", "kernel_id": "102421326"}, {"ref": "harshadivarekar/notebook743d27b2d5", "kernel_id": "102974443"}, {"ref": "natoinet/fab-job-mvp-ipynb", "kernel_id": "102636049"}, {"ref": "jingyipotato/holistic-fitness-lifestyle-agents", "kernel_id": "102530259"}, {"ref": "kaviyar16/capstone", "kernel_id": "102653384"}, {"ref": "gallo33henrique/llm-2-gemini-ai-agents-intensive-capstone-project", "kernel_id": "102206625"}, {"ref": "yashonathyashu/campus-copilot-multi-agent-study-mentor", "kernel_id": "102413097"}, {"ref": "chetankumarpulipati/day-1-assignment-5-day-ai-agents-intensive-cours", "kernel_id": "102569940"}, {"ref": "fareshazem/fitgenie-ai-powered-personal-fitness-coach", "kernel_id": "102958197"}, {"ref": "rajabandyopadhyay/social-media-campaign-maker", "kernel_id": "102999182"}, {"ref": "shannuteja/capstone-project-story-debate-agent-network", "kernel_id": "102883975"}, {"ref": "nayakvigneshrajgopal/biominds-adaptive-evolutionary-design-agent", "kernel_id": "102839846"}, {"ref": "lauriane235/myaissistant-daily-planning-productivity-agent", "kernel_id": "102770418"}, {"ref": "yuvasriramesh/multiagents-using-langgraph", "kernel_id": "102422235"}, {"ref": "samuelamorim/bodyweight-sync-agent", "kernel_id": "102908187"}, {"ref": "paufortiana/obsidian-assistant", "kernel_id": "102158254"}, {"ref": "prosperigbigbi/agent-prosper-r-p-m-notebook", "kernel_id": "102191896"}, {"ref": "sriku549/medtruth-guardian-health-misinformation-fact-che", "kernel_id": "102406161"}, {"ref": "shaibishamsudeen/multi-agent-real-estate-campaign-system-capstone", "kernel_id": "102731211"}, {"ref": "allabannikova/smart-sous-chef-project", "kernel_id": "102850176"}, {"ref": "codenameanirban/black-light-ai", "kernel_id": "102978161"}, {"ref": "yuvrajpant/scholaragent", "kernel_id": "102045502"}, {"ref": "kishore2411/customease-multi-agent-customer-support-triage", "kernel_id": "102964598"}, {"ref": "harshitmhatre/daily-task-planner-agent-minimal-multi-agent-mvp", "kernel_id": "102928318"}, {"ref": "riteshk611/access-all-areas-agentic-accessibility-mapping", "kernel_id": "102828798"}, {"ref": "parmindersingh2002/interview-prep-assistant", "kernel_id": "102150523"}, {"ref": "abhirbhandary/ai-demand-spike-detector", "kernel_id": "102377607"}, {"ref": "mariastyli/tripmindai", "kernel_id": "102978127"}, {"ref": "yngbogdnn27/capstone-final-work-google-competition", "kernel_id": "102177095"}, {"ref": "bappadityasarkar/smarty", "kernel_id": "102859184"}, {"ref": "lguzm001/v-aid-verification-agent-for-intelligent-decisions", "kernel_id": "102815203"}, {"ref": "sriram12072003/notebookf2fe832f28", "kernel_id": "102848300"}, {"ref": "shwetaliwadekar/vision-workflow-optimizer", "kernel_id": "102486256"}, {"ref": "alifseen/pakistani-stocks-review-agent", "kernel_id": "102841301"}, {"ref": "n17vignesh/ai-code-review-agent-capstone-project", "kernel_id": "102333398"}, {"ref": "waltvenable/healthguide-capstone", "kernel_id": "102492053"}, {"ref": "hsuankai/naming-master-agent", "kernel_id": "102869621"}, {"ref": "tanvikapil/ai-literature-review-agent", "kernel_id": "102250198"}, {"ref": "tanvikapil/ai-literature-review-agent3920bdc66c", "kernel_id": "102861103"}, {"ref": "kejishern/skill-gardener", "kernel_id": "102871510"}, {"ref": "cgnaveen/notebookc4a68ac9b3", "kernel_id": "102925493"}, {"ref": "tatapudiramesh/studymateagent", "kernel_id": "102999616"}, {"ref": "nithishdevarinti/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102954350"}, {"ref": "kankotiyamanav/adaptive-fitness-planner-agent", "kernel_id": "102061384"}, {"ref": "alirezasaei/confair", "kernel_id": "102718251"}, {"ref": "mubashirulhassan00/prompt2sql", "kernel_id": "102854064"}, {"ref": "avinashvollala/neuro-data-assistant", "kernel_id": "102717011"}, {"ref": "abhaysinghrawat1705/taskmaster-ai-intelligent-daily-weekly-planner", "kernel_id": "102586855"}, {"ref": "rsayan2105/crisisconnect", "kernel_id": "102910044"}, {"ref": "josephmerton/project-aeroguard", "kernel_id": "102835950"}, {"ref": "josephmerton/kaggle-5-day-agent-project-aeroguard", "kernel_id": "102633483"}, {"ref": "sarfarajshaikh19/agentic-supply-chain-wf-google-ai-sarfaraj", "kernel_id": "102479000"}, {"ref": "samanyuvemuri/agents-intensive-capstone", "kernel_id": "102985593"}, {"ref": "pranaykommareddy/chronic-health-care-agent", "kernel_id": "102964765"}, {"ref": "bianwt/job-application-assitant", "kernel_id": "102696378"}, {"ref": "dpranathi/automl-agent-capstone-project", "kernel_id": "102867077"}, {"ref": "rishabhkannaujiya/ai-blog-agent-capstone-submission-concierge", "kernel_id": "102111584"}, {"ref": "suriyakris/adaptive-learning-coach", "kernel_id": "102870706"}, {"ref": "akshat345/pharmaintel", "kernel_id": "102896336"}, {"ref": "amitmalakarjoy/smart-nutrition-grocery-planner-agent", "kernel_id": "102935318"}, {"ref": "dharshiniashokan/notebook279efa1479", "kernel_id": "102199442"}, {"ref": "amirparsakhoshnoud/1-0-0", "kernel_id": "102707077"}, {"ref": "tharunpm/lectureiq-agent", "kernel_id": "102419226"}, {"ref": "stazek/parkwise-automator", "kernel_id": "102527629"}, {"ref": "karishmaghonge/smart-text-classfier-agent", "kernel_id": "102989008"}, {"ref": "junaid512/multi-agent-youtube-content-producer", "kernel_id": "102794790"}, {"ref": "estopadilla/market-purchase-analyst-enterprise-ai-agent", "kernel_id": "102761486"}, {"ref": "samusamson/enterprise-agents-capstone-project", "kernel_id": "102237157"}, {"ref": "siddharthpurii/expense-receipt-automation-agent", "kernel_id": "102916038"}, {"ref": "sanishkumarsingh/5-days-mind-matrix-ai-agent", "kernel_id": "102808338"}, {"ref": "sanishkumarsingh/google-5-days-ai-extensive", "kernel_id": "102715542"}, {"ref": "monarchofshadows/agent-intensive-capstone-project", "kernel_id": "102154796"}, {"ref": "mahamadzaid/visa-agent-capstone-prj", "kernel_id": "102985305"}, {"ref": "niroshravindran/enterprise-risk-assessment-agent-iso-27001", "kernel_id": "102855251"}, {"ref": "naveenkumar41/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102150925"}, {"ref": "joymin5655/environmental-policy-impact-agent-system", "kernel_id": "102950680"}, {"ref": "lipsasahoo18/autorpf", "kernel_id": "102426879"}, {"ref": "awesomebomah/fetchsmart-ai-system-for-contract-recruiters", "kernel_id": "102916440"}, {"ref": "sarthakpotdar/ai-pcb-assistant", "kernel_id": "102972547"}, {"ref": "yussufkadir/ielts-writing-coach", "kernel_id": "102793365"}, {"ref": "selimnaji/hoptrip-travel-agent-by-brauerai", "kernel_id": "102974084"}, {"ref": "vishweshwarir/stylesphere-ai-multi-agent-fashion-stylist", "kernel_id": "102245762"}, {"ref": "ittyaviracabraham/enterprise-agent-ecosystem-demo", "kernel_id": "102095065"}, {"ref": "srigan02/genai-driven-va-pipeline", "kernel_id": "102262529"}, {"ref": "oluwatobielusakin/logistics-intelligence-agent-capstone-project", "kernel_id": "102297244"}, {"ref": "sanatkarkhanis/ai-notebook-lecture-creator", "kernel_id": "102421048"}, {"ref": "gregjaro/articlewriter", "kernel_id": "102156463"}, {"ref": "sahanarenu/notebookafded9357b", "kernel_id": "102666777"}, {"ref": "rajkoushal/context-aware-research-assistant", "kernel_id": "102710595"}, {"ref": "rosebeltran/fitbud-an-accountability-buddy-for-walking-goals", "kernel_id": "102922872"}, {"ref": "philpur/the-weekend-wanderer", "kernel_id": "102907086"}, {"ref": "vithushanravisuthan/capstone101", "kernel_id": "102969350"}, {"ref": "aakashdoguparthi/healthbridge-gps-enabled-rural-healthcare-access", "kernel_id": "102708450"}, {"ref": "gopichand16/agents-intensive-capstone-project", "kernel_id": "102541273"}, {"ref": "thejaswinivelvaluri/notebook37c0f7a46d", "kernel_id": "102601737"}, {"ref": "azaynul10/enterprise-agent-with-guardrails", "kernel_id": "102939612"}, {"ref": "smith999/car-hunt-agent", "kernel_id": "102881350"}, {"ref": "shuvodevnath/sweet-delights-ai", "kernel_id": "102723257"}, {"ref": "msaikarthik333/executive-function-exoskeleton", "kernel_id": "102996593"}, {"ref": "muzammilshaikh001/post-discharge-adherence-agent", "kernel_id": "102892678"}, {"ref": "yuvannanish/disaster-response-ai-agent-multi-agent-eceb518238c", "kernel_id": "102654569"}, {"ref": "pravintakpire/kisan-sahayak-1", "kernel_id": "102110790"}, {"ref": "jmmrcp/briefing-ai", "kernel_id": "102894295"}, {"ref": "subhamconstruction/personnal-tutor", "kernel_id": "102371748"}, {"ref": "dielozmor/career-copilot-capstone", "kernel_id": "102480893"}, {"ref": "janviraj/ecosight-gemini-vision-multi-agent-waste-sorting", "kernel_id": "102767016"}, {"ref": "nilkamalkamble/product-explorer", "kernel_id": "102889881"}, {"ref": "surjeetsinhthakur/notebookfbb72092a9", "kernel_id": "102207747"}, {"ref": "ujwalkhairnar27/project", "kernel_id": "102782462"}, {"ref": "iniyarajan/derma-agent-1", "kernel_id": "102839646"}, {"ref": "iniyarajan/derma-agent", "kernel_id": "102131083"}, {"ref": "turagsarkar/imedicmedicalagent", "kernel_id": "102392237"}, {"ref": "aswin1010/captstone-project-aswin", "kernel_id": "102692571"}, {"ref": "codexayush/metamind-tuner", "kernel_id": "102423937"}, {"ref": "adityakymarmishra/vidyadhara-ai-v7-the-persistent-socratic-tutor", "kernel_id": "102692467"}, {"ref": "abhishekofficial0001/venture-path", "kernel_id": "102698127"}, {"ref": "keshav29agarwal/ventureval-the-autonomous-business-validator", "kernel_id": "102987348"}, {"ref": "rashminslnk/mba-prepmaster", "kernel_id": "102881643"}, {"ref": "nimadolmasherpa/structestimator", "kernel_id": "102896936"}, {"ref": "satyamsingh8306/deep-agent", "kernel_id": "102120521"}, {"ref": "krannaik777/notebookcddbef2ece", "kernel_id": "102672653"}, {"ref": "manjuvasanth/mediguard", "kernel_id": "102810885"}, {"ref": "varshitha43/smartenergyadvisor", "kernel_id": "102796433"}, {"ref": "aniruddhmaiti/krishisetu-ver-02", "kernel_id": "102930251"}, {"ref": "ihosseinsadeghi/ai-travel-concierge-booking-agent", "kernel_id": "102988291"}, {"ref": "ngodwill/opportunity-agent", "kernel_id": "102996858"}, {"ref": "teja26/smartstudyagent", "kernel_id": "102873219"}, {"ref": "aakanshawani/air-pollution-detector", "kernel_id": "102945635"}, {"ref": "karanjajoria/capstone-project-ai-powered-refugee-crisis", "kernel_id": "102898949"}, {"ref": "swayamprakashpradhan/ai-agent", "kernel_id": "102989383"}, {"ref": "luffynikagod/ai-enhanced-comic-book-creator", "kernel_id": "102886765"}, {"ref": "sujithaah/calmconnect-capstone", "kernel_id": "102130859"}, {"ref": "saiprasannakvs21/agent-capstone-project", "kernel_id": "102963518"}, {"ref": "sweta2000/smartmealops", "kernel_id": "102964170"}, {"ref": "edigasiva/ai-customer-support-agent", "kernel_id": "102749794"}, {"ref": "rujutaabhanose/all-in-one-study-agent", "kernel_id": "102988834"}, {"ref": "aksh1242/veritas-the-adversarial-ai-newsroom", "kernel_id": "102604077"}, {"ref": "deepikacherukuri/adk-human-in-the-loop-resume-screener", "kernel_id": "102393917"}, {"ref": "mohanvenkatganesh/ai-agent-for-youtube-transcript", "kernel_id": "102970471"}, {"ref": "praveen341/customer-agent", "kernel_id": "102446848"}, {"ref": "yaminimodu7095/notebook1865a082a5", "kernel_id": "102871404"}, {"ref": "karthik221299/capstone-project", "kernel_id": "102664158"}, {"ref": "harishinib/notebook6142a341f3", "kernel_id": "102603018"}, {"ref": "sahilsingh151202/smart-meal-gen", "kernel_id": "102364552"}, {"ref": "jayanthynatarajan/app-api-py", "kernel_id": "102831855"}, {"ref": "devrayrob/autoresearcher", "kernel_id": "102789633"}, {"ref": "arbazalikhan450/notebook0bc477c7f6", "kernel_id": "102403200"}, {"ref": "aisshwaryagurav/mymeal-meal-planner", "kernel_id": "102706500"}, {"ref": "divyatejakella/codesentry", "kernel_id": "102442455"}, {"ref": "muskaanaggarwal1/financial-agent-capestone-project", "kernel_id": "102862011"}, {"ref": "bhushandataguy/project-pilot-ai-powered-project-management", "kernel_id": "102562093"}, {"ref": "amankumar113/smartstudy-agent", "kernel_id": "102603788"}, {"ref": "chetnathakur28/personal-task-manager", "kernel_id": "102219234"}, {"ref": "vivekudaydalvi/transactai-transaction-categorizer", "kernel_id": "102098365"}, {"ref": "chandinidharmana/notebook898bd89945", "kernel_id": "102784930"}, {"ref": "tarunsandilya/capstone-project", "kernel_id": "102938599"}, {"ref": "eramnishat1011/heron-phishing-interceptor", "kernel_id": "102278032"}, {"ref": "deepakksoni/paramind-the-parallel-mind-for-exam-prep", "kernel_id": "102972903"}, {"ref": "lisadorenfest/coaching-agent-capstone-v-f", "kernel_id": "102906434"}, {"ref": "farhanahmedudho/agent", "kernel_id": "102421226"}, {"ref": "sigatamilan/smart-multi-agent", "kernel_id": "102779508"}, {"ref": "gangireddy1/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102428207"}, {"ref": "mohammedfahadd60/calmmind-mental-health-agent", "kernel_id": "102671450"}, {"ref": "amosleelee/autonomous-creative-agency", "kernel_id": "102676151"}, {"ref": "purvasanjayjadhav/feedinghands-reducing-food-wastage", "kernel_id": "102131700"}, {"ref": "fathimajabbar22/hr-attrition-intelligence-agent", "kernel_id": "102946005"}, {"ref": "thangavisa/erp-hcm-assistant", "kernel_id": "102912842"}, {"ref": "mandoor/ecc-executive-command-center", "kernel_id": "102989362"}, {"ref": "wendellbu/the-cognitive-newsroom", "kernel_id": "102922011"}, {"ref": "kruthihk/smartapply-ai-powered-job-application-agent", "kernel_id": "102850612"}, {"ref": "atulvy/gettourinfo", "kernel_id": "102373231"}, {"ref": "nageshs04/skillforge-the-adaptive-personal-tutor", "kernel_id": "102995353"}, {"ref": "mithileshkolhapurkar/sentinel-ai-enterprise-log-incident-agent", "kernel_id": "102993324"}, {"ref": "mehulbalsara/autonomous-academic-assistant", "kernel_id": "102221423"}, {"ref": "divyanshdeore/notebook10afec0892", "kernel_id": "102778921"}, {"ref": "cameronnann/g5daa-data-analysis-agent-system", "kernel_id": "102908682"}, {"ref": "libanansari/ai-health-meal-concierge-for-chronic-conditions", "kernel_id": "102807227"}, {"ref": "paulfletter/ai-readiness-mosaic-agent", "kernel_id": "102905741"}, {"ref": "shagufthashaikh29/ema-ai-image-generation-studio", "kernel_id": "102924062"}, {"ref": "trexxxx/study-buddy", "kernel_id": "102962557"}, {"ref": "tahsinahmedrafi/litreview-ai-academic-research-agent", "kernel_id": "102682427"}, {"ref": "kakibhavanashree/customer-support-triage-root-cause-multi-agent", "kernel_id": "102809656"}, {"ref": "ashu1210/notebook18db292ca4", "kernel_id": "102961534"}, {"ref": "ashu1210/notebookedfb23b201", "kernel_id": "102965221"}, {"ref": "koppulaprizy/mindmatrix-ai-agent-kaggle-competition-as-0ce7a7", "kernel_id": "102130587"}, {"ref": "koppulaprizy/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102130510"}, {"ref": "dharaneesh8/notebooke916be644e", "kernel_id": "102933085"}, {"ref": "jaganpradhan0/google-ai-capstone", "kernel_id": "102950801"}, {"ref": "sowbarnikae/student-lesson-helper-multi-agent-system", "kernel_id": "102890819"}, {"ref": "sahilpareek/odyssey-ai-the-travel-agent", "kernel_id": "102881111"}, {"ref": "legendwarrior/dream-journal-analysts-story-generator", "kernel_id": "102992035"}, {"ref": "agantz/eldungeoneering", "kernel_id": "102401974"}, {"ref": "blackberry58/agent-rheumio", "kernel_id": "102859639"}, {"ref": "nikhilramaswamy/codebase-onboarding-agent", "kernel_id": "102136593"}, {"ref": "czarolag/data-science-report-generator-research-agent", "kernel_id": "102395682"}, {"ref": "mohamedsoliman9/ai-task-manegment-agent", "kernel_id": "102695981"}, {"ref": "deepalokesh/resilience-as-a-service-enterprise-agents", "kernel_id": "102453873"}, {"ref": "satchittanand/sql-pandas-learning-coach-agent-with-gemini", "kernel_id": "102455365"}, {"ref": "poorval/frugalagent", "kernel_id": "102723082"}, {"ref": "samanthuladsriyani/travelgenie-ai", "kernel_id": "102071396"}, {"ref": "indiraverma/study-buddy-agent", "kernel_id": "102991718"}, {"ref": "shivaninirmal/smart-multimodal-support-agent", "kernel_id": "102991528"}, {"ref": "paplupatel/intelligenttravelassistant", "kernel_id": "102694311"}, {"ref": "gopikrishnana/mental-health-assistant", "kernel_id": "102763947"}, {"ref": "kaviyasen/ai-disaster-awareness", "kernel_id": "102805256"}, {"ref": "kaviyasen/ai-disaster-awarness", "kernel_id": "102467040"}, {"ref": "thivyanr/healthguard-ai-multi-agent-healthcare", "kernel_id": "102607538"}, {"ref": "vatshalupadhyay/meal-planner-agent", "kernel_id": "102152093"}, {"ref": "hebamotawei/personal-life-assistant-capstone-project-2025", "kernel_id": "102975463"}, {"ref": "kami1976/agents-intensive-capstone-project-v1", "kernel_id": "102541191"}, {"ref": "jaimesingson/product-marketing-helper", "kernel_id": "102798572"}, {"ref": "ursulakmpel/maal-for-financial-agents", "kernel_id": "102947773"}, {"ref": "lashasoselia/notebook514bbb36bb", "kernel_id": "102952401"}, {"ref": "recalamity/lithium-sentinel-autonomous-safety-agent", "kernel_id": "102869148"}, {"ref": "niharpatra/goalcraft-ai", "kernel_id": "102866953"}, {"ref": "pruthvirajsinhzala99/deepdive", "kernel_id": "102918909"}, {"ref": "kunwar99/simple-study-buddy-agent", "kernel_id": "102344942"}, {"ref": "sundarapaalrt/capstone-project-netsec-enterprise-agent", "kernel_id": "102971853"}, {"ref": "kalpanabhaskar/ai-agent-capstone", "kernel_id": "102861751"}, {"ref": "rimsha234/ai-agents-for-predictive-vehicle-diagnostics", "kernel_id": "102966411"}, {"ref": "aaronmilligan/hbb-bias-aware-multi-agent-medical-risk-system-ai", "kernel_id": "102143899"}, {"ref": "abyjose003/smart-lead-scoring-agent", "kernel_id": "102226646"}, {"ref": "soumyadeepsaha999/anuj-soumyadeep-rima-capstone-project", "kernel_id": "102999896"}, {"ref": "wasimmahmud/the-federated-data-intelligence-swarm", "kernel_id": "102736724"}, {"ref": "dhruvil1611/converge-multi-agent-sales-automation", "kernel_id": "102547624"}, {"ref": "selmanyberg/trustworthy-coding-agents-capstone-25q4", "kernel_id": "102873872"}, {"ref": "sravanik2205/study-help-multi-agent", "kernel_id": "102160857"}, {"ref": "satishpaluri/personal-knowledge-evolution-tracker", "kernel_id": "102421130"}, {"ref": "rukevweokpakovwodo/multi-agent-commodity-prediction-tool", "kernel_id": "102987030"}, {"ref": "satya1369/agent-project", "kernel_id": "102456380"}, {"ref": "bhavanir3/capstone-project", "kernel_id": "102959141"}, {"ref": "navodyamapa/child-nutrition-breastfeeding-agent", "kernel_id": "102044839"}, {"ref": "ryyanabdullahbaig/team-baig-ai-agents-capstone-project", "kernel_id": "102705273"}, {"ref": "santoshvihar/study-sage", "kernel_id": "102954199"}, {"ref": "madhavagungi/my-project", "kernel_id": "102324029"}, {"ref": "rakshitkaintura/notebook50c77695b6", "kernel_id": "102414569"}, {"ref": "lysedegadam/your-personal-eai-chef", "kernel_id": "102599560"}, {"ref": "sumitchavhan7/career-navigator-ai-1", "kernel_id": "102339103"}, {"ref": "diviyadharshinik20/heart-diseases", "kernel_id": "102964599"}, {"ref": "rajsarangam/dream-team-capstone-project-air-quality-v1", "kernel_id": "102819760"}, {"ref": "nehalajmal/marvs", "kernel_id": "102057965"}, {"ref": "bhaktivyas123/flowmaster", "kernel_id": "102742287"}, {"ref": "nareshkosaraju/civically-legal-advocate", "kernel_id": "102188069"}, {"ref": "sakshisharma1616/ai-research-assistant-live-execution", "kernel_id": "102989222"}, {"ref": "samruddhibhosale23/policy2action-capstone", "kernel_id": "102252467"}, {"ref": "samsonmatthew/personal-chef-assistant", "kernel_id": "102349430"}, {"ref": "ansar33/part-1-climate-health-risk-intelligence-agent", "kernel_id": "102255772"}, {"ref": "nishkarsh17/ai-agent-capstone-project", "kernel_id": "102930671"}, {"ref": "agrawalsaransh/multi-agent-investment-research-system", "kernel_id": "102998535"}, {"ref": "mohamediqhlas/warmbridge-ai-companion", "kernel_id": "102583066"}, {"ref": "drashisshrestha/ai-agent", "kernel_id": "102558394"}, {"ref": "kaveananthv/healthguideplus-agentsystem-ipynb", "kernel_id": "102985263"}, {"ref": "salihamster/project-pen-your-personal-asistant", "kernel_id": "102120745"}, {"ref": "anjanagireesh/adaptive-curriculum-planning-with-gemini-multi-age", "kernel_id": "102971782"}, {"ref": "riyanshasharma/eduflow-autonomous-learning-agents", "kernel_id": "102269695"}, {"ref": "ponnamsriharshini/nightguardai", "kernel_id": "102971990"}, {"ref": "lalit7881/ai-content-creator-assistant-youtube-reels-age", "kernel_id": "102736762"}, {"ref": "lalit7881/career-navigator-ai", "kernel_id": "102213783"}, {"ref": "sugarchannnnn/my-sample-project2", "kernel_id": "102565341"}, {"ref": "samathagajula/monk-ai-bridging-tradition-and-science", "kernel_id": "102393321"}, {"ref": "gsaihaneesh/career-path-advisor", "kernel_id": "102530735"}, {"ref": "srikishore2903/techno-duo-india", "kernel_id": "102696538"}, {"ref": "shahinshatb/customer-agent", "kernel_id": "102361352"}, {"ref": "parishmitasinha/lifeos-your-ai-that-never-forgets", "kernel_id": "102205443"}, {"ref": "pgvishnu526/prompt2manga", "kernel_id": "102211109"}, {"ref": "anmoldineshpandey/rural-stem-study-buddy-agents-for-good", "kernel_id": "102671891"}, {"ref": "saurabhgupta0962/enhanced-multi-agent-clinical-trial-finder", "kernel_id": "102852748"}, {"ref": "yamz006/ai-mentor", "kernel_id": "102867914"}, {"ref": "bharat2222/google-ai-capstone-personalized-concierge-agent", "kernel_id": "102107810"}, {"ref": "arjun303/notebookcf14957672", "kernel_id": "102250292"}, {"ref": "stalls/edumentor", "kernel_id": "102589003"}, {"ref": "ramcharankaggle/smart-assistant", "kernel_id": "102974880"}, {"ref": "cosm0ss/multi-agent-research-learning-assistant", "kernel_id": "102218388"}, {"ref": "nahors/dayplanneragentdemo", "kernel_id": "102448580"}, {"ref": "prajitgouresh/the-trolley-problem", "kernel_id": "102974105"}, {"ref": "imrancoder786/desaster-agent", "kernel_id": "102458861"}, {"ref": "imrancoder786/carrier-adviser", "kernel_id": "102982320"}, {"ref": "mainakghosh312/data-science", "kernel_id": "102838168"}, {"ref": "esheshwarikumari/google-agents-intensive-capstone-project", "kernel_id": "102278002"}, {"ref": "gershomtorkuma/e-commerce-scout", "kernel_id": "102644521"}, {"ref": "rahulkumar487/bizagentx", "kernel_id": "102933666"}, {"ref": "nickjamer/smartfactory", "kernel_id": "102243298"}, {"ref": "fongkarman/financial-analyst", "kernel_id": "102703205"}, {"ref": "lalitverma78/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102245546"}, {"ref": "sivanoobgamer/kanmani-and-sivashrekan", "kernel_id": "102794177"}, {"ref": "sivanoobgamer/first-step", "kernel_id": "102774570"}, {"ref": "marwa001/autonomous-edumentor-agent", "kernel_id": "102955372"}, {"ref": "dev200413y/customer-ai-agent", "kernel_id": "102538057"}, {"ref": "shreenbopche/technical-interview-prep-coach", "kernel_id": "102264641"}, {"ref": "ritwickbhargav/collaborative-retail-assistant-cora", "kernel_id": "102376662"}, {"ref": "kavyakankonkar/student-productivity-planner-agent", "kernel_id": "102947014"}, {"ref": "nehajoshika/stable-diffusion-image-generator", "kernel_id": "102265820"}, {"ref": "chintamanikanta123/diet-planner", "kernel_id": "102958894"}, {"ref": "jeffborschowa/business-workflow-auto-pilot-agent-system", "kernel_id": "102498452"}, {"ref": "nubaiduddin/the-store-manager-ai", "kernel_id": "102803212"}, {"ref": "rachanagowda12345/vocabulary-builder-agent", "kernel_id": "102934434"}, {"ref": "shakerbassamshaker/careerally", "kernel_id": "102850589"}, {"ref": "leonardomelloviana/misinformationchecker-adk-agent-capstone-project", "kernel_id": "102203003"}, {"ref": "zaidddd55/neuranox-ai-agent", "kernel_id": "102965096"}, {"ref": "kiruthika2025/cyberthreat", "kernel_id": "102785539"}, {"ref": "anushakorigadde/travel-budget-planner-agent", "kernel_id": "102324249"}, {"ref": "farzanahadiya/automated-report-generator", "kernel_id": "102713959"}, {"ref": "kamalika1/airaware", "kernel_id": "102957369"}, {"ref": "kamalika1/agentic-aqi-guardian", "kernel_id": "102951734"}, {"ref": "rijinshaji/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102035750"}, {"ref": "rahulchandrashil/smart-study-agent", "kernel_id": "102766577"}, {"ref": "adityasinghlodhi/healthspeak-ultimate", "kernel_id": "102222290"}, {"ref": "vishwaskura/black-light-ai", "kernel_id": "102165761"}, {"ref": "athulkaggle/goodagent", "kernel_id": "102752177"}, {"ref": "aditisharma098/focus-bloom-agent", "kernel_id": "102966623"}, {"ref": "sakthivelkrishn/notebookbf2e0454cf", "kernel_id": "102136387"}, {"ref": "bhagirath00/greenops-enterprise-ai-powered-sustainable-devops", "kernel_id": "102875739"}, {"ref": "sanskarmalviyagg/google-capstone-project-submission", "kernel_id": "102800407"}, {"ref": "sajeebkhan/aipa-lite-study-abroad-profile-analyzer", "kernel_id": "102539021"}, {"ref": "sajeebkhan/studybuddy-capstone-project", "kernel_id": "102263982"}, {"ref": "shaiksaniyaarshiya/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102452425"}, {"ref": "swapnilverma10/vortex-prime", "kernel_id": "102701999"}, {"ref": "herambaa/providentia-autonomous-financial-risk-agent", "kernel_id": "102977597"}, {"ref": "meenakshibiopharma/konda-agent-py", "kernel_id": "102305931"}, {"ref": "yukiuwu/crisis-aware-mental-health-chatbot", "kernel_id": "102795951"}, {"ref": "bhaviknahar9/research-paper-analyzer-capstone", "kernel_id": "102545822"}, {"ref": "airuibadi/notebookd058f1e3b6", "kernel_id": "102969970"}, {"ref": "sharonmathurti/hr-data-agent-ai-agent-for-hr-analytics", "kernel_id": "102763737"}, {"ref": "jinosebastian/customer-service", "kernel_id": "102879939"}, {"ref": "angelazeta/burnout-radar-an-adk-agent-for-sustainable-work", "kernel_id": "102364187"}, {"ref": "khushikalambhe/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102106435"}, {"ref": "marcuskbra/kaggle-agents-intensive-capstone-project", "kernel_id": "102640652"}, {"ref": "jasonbrz/memoria-your-context-aware-second-brain", "kernel_id": "102530485"}, {"ref": "prpandav/smart-shopper", "kernel_id": "102979676"}, {"ref": "jourdanxie/rubriq-agentic-rubric-assistant", "kernel_id": "102873848"}, {"ref": "navyasri666/notebook352be38585", "kernel_id": "102716216"}, {"ref": "wiltonjarms/fork-of-notebook232e09d29a", "kernel_id": "102957812"}, {"ref": "manamimurata/savepoint-a-non-intrusive-emotional-checkpoint-ag", "kernel_id": "102574279"}, {"ref": "riyazshaik007/capstone-project-customer-agent", "kernel_id": "102062856"}, {"ref": "gagan8050/notebook27b2d8e8fb", "kernel_id": "102216254"}, {"ref": "nidhikumawat05/capstone-project", "kernel_id": "102451174"}, {"ref": "kritikae/focusfox", "kernel_id": "102377136"}, {"ref": "joshbgking0410/caribank-guardian-readme", "kernel_id": "102459594"}, {"ref": "chandraprakas/smart-vision", "kernel_id": "102886069"}, {"ref": "abdullahalrefai7/multi-agent-smart-assistant-system", "kernel_id": "102995730"}, {"ref": "rafatulla/customer-connection-agent", "kernel_id": "102118829"}, {"ref": "asimq1/cybersentine", "kernel_id": "102075786"}, {"ref": "jeevankumargone/edupath-ai", "kernel_id": "102313591"}, {"ref": "dheerajnadamwar/the-morning-brief", "kernel_id": "102390660"}, {"ref": "santhoshbheema/from-agentic-ai-to-agi-enterprise-ready-mining", "kernel_id": "102957724"}, {"ref": "aniketunderiya/nayanyay-ai", "kernel_id": "102338869"}, {"ref": "questsomya/acne-ai-agent", "kernel_id": "102775839"}, {"ref": "waynewongwenkang/the-orchestrator-agent", "kernel_id": "102699963"}, {"ref": "henryyho/simple-fraud-agent", "kernel_id": "102376888"}, {"ref": "sravz09/bridgerx-bridging-ayurveda-with-modern-science", "kernel_id": "102906038"}, {"ref": "pratibhaxplore/agents-intensive-capstone-project", "kernel_id": "102704481"}, {"ref": "poojasreeh17/auto-agent-designer", "kernel_id": "102886864"}, {"ref": "rishabhprajapati1617/capstone-project", "kernel_id": "102538517"}, {"ref": "harrry21/gamemindmatrix-ai-agent-kaggle-competition-assis", "kernel_id": "102431811"}, {"ref": "aditikewat/notebooka0ce8626ce", "kernel_id": "102855901"}, {"ref": "sharmitachatterjee/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102739127"}, {"ref": "stealthwhiz/cypherai-multi-agent-security-scanner", "kernel_id": "102484019"}, {"ref": "simonaxel/capstone-project-multi-agent-script-generator", "kernel_id": "102112115"}, {"ref": "alvarolihz/healthcare-navigation-agent", "kernel_id": "102806700"}, {"ref": "racc0om/health-timeline-safety-companion-agent", "kernel_id": "102704321"}, {"ref": "anusha711/careercompass-capstone", "kernel_id": "102935516"}, {"ref": "varnitdixit9/radiomics-agent", "kernel_id": "102740405"}, {"ref": "sparidhi156/mental-wellness-agent", "kernel_id": "102892831"}, {"ref": "yugvgupta/yug-s-project", "kernel_id": "102596809"}, {"ref": "ushanagaraj/project-1", "kernel_id": "102997562"}, {"ref": "raguraman200129/automated-blog-writer-agent", "kernel_id": "102465783"}, {"ref": "raguraman200129/blogwriting2", "kernel_id": "102524212"}, {"ref": "keshargupta08/studymate-pro", "kernel_id": "102129112"}, {"ref": "mrquickwitted/notebook2a8bf690e7", "kernel_id": "102930850"}, {"ref": "atulithtatituri/socratic-mentor", "kernel_id": "102963804"}, {"ref": "asmitadurugkar/d-r-i-s-h-t-i", "kernel_id": "102989172"}, {"ref": "diksharautel0908/notebook2a1b200d6a", "kernel_id": "102238073"}, {"ref": "diyachakravarti/travel-planner", "kernel_id": "102962134"}, {"ref": "abhigyan7777/aiorderly-customer-support", "kernel_id": "102932722"}, {"ref": "gurmehak07/study-assistant-agent", "kernel_id": "102832981"}, {"ref": "varunsinghal14/decode-your-dreams", "kernel_id": "102254152"}, {"ref": "mukultiwari19/ai-personal-safety-emergency-assistant", "kernel_id": "102404468"}, {"ref": "saudhey/dapp-deep-research-agent", "kernel_id": "102847475"}, {"ref": "jasonunlocking/unlocking-agents-capstone-submission", "kernel_id": "102385693"}, {"ref": "pendyalaudaykranth/working-prototype", "kernel_id": "102784671"}, {"ref": "smyaseen/tripgenie-travel-planner", "kernel_id": "102982399"}, {"ref": "santoshyallapragada/multi-agent-quiz-generator-with-memory", "kernel_id": "102953991"}, {"ref": "sumanbehura/multi-agent-support-assistant-for-customers", "kernel_id": "102358565"}, {"ref": "srishtikushil/westudynow", "kernel_id": "102705506"}, {"ref": "prerana8/notebooka6edb7cadb", "kernel_id": "102957204"}, {"ref": "aneghnath/game-quest-gpt", "kernel_id": "102790809"}, {"ref": "piyushkumar009/enterprise-intelligence-swarm", "kernel_id": "102089239"}, {"ref": "saivimenthanvlai/capstone", "kernel_id": "102344611"}, {"ref": "anshikaghildiyal/notebook1f2713a24d", "kernel_id": "102684881"}, {"ref": "hitikshamalaviya/enterprise-agents", "kernel_id": "102889743"}, {"ref": "ybanti/multi-agent-research-assistant", "kernel_id": "102964634"}, {"ref": "shlokparekh08/project-shiksha", "kernel_id": "102894256"}, {"ref": "sunkarakaruna/ai-agents-intensive-competition", "kernel_id": "102247242"}, {"ref": "rifatsh3ikh/cognitive-doppelganger-ai-agent", "kernel_id": "102577307"}, {"ref": "johnjobenny/notebook11e91b1d3c", "kernel_id": "102095592"}, {"ref": "vikashyadav2004/medisaver-affordable-medicine-finder-agent", "kernel_id": "102085688"}, {"ref": "rishithayellanki/global-waste-management", "kernel_id": "102538448"}, {"ref": "devyanikhande/civicguard-a-multi-agent-crisis-intelligence", "kernel_id": "102227940"}, {"ref": "nithinsuresh3003/routine-scheduling-agent", "kernel_id": "102880750"}, {"ref": "singhisking21/nexlearn-smart-study", "kernel_id": "102848469"}, {"ref": "niranjankhatri14/capstone-project-youtube-seo-concierge-agent", "kernel_id": "102380665"}, {"ref": "adarshpandey721/study-planner-agent", "kernel_id": "102873935"}, {"ref": "rishisakhija/clinicalai-intelligence-capstone-project", "kernel_id": "102206689"}, {"ref": "hemasankariarasu/women-safety-agentic-ai", "kernel_id": "102473672"}, {"ref": "madhutiwari20/ecosense-climate-sustainability-advisor", "kernel_id": "102708958"}, {"ref": "jaisudhansethu/logpulse-ai", "kernel_id": "102436498"}, {"ref": "chandanam630/mental-health-agent", "kernel_id": "102372345"}, {"ref": "silvinad/never-miss-a-task-again-capstone-project", "kernel_id": "102295783"}, {"ref": "pranavkataria31/trend-predictor-agent-pranav", "kernel_id": "102359607"}, {"ref": "pranavkataria31/trend-predictor-agent", "kernel_id": "102352958"}, {"ref": "sumi944/notebookb7a28eae9c", "kernel_id": "102990709"}, {"ref": "priyankaaa7788/campus-buddy-ai-agent", "kernel_id": "102735404"}, {"ref": "rajknights/ai-art-therapy", "kernel_id": "102753132"}, {"ref": "abhishekdubey20/emotion-aware-ai-support-agent", "kernel_id": "102702112"}, {"ref": "aditya3524/multi-agent-cooperative-gridworld-system", "kernel_id": "102898532"}, {"ref": "steelertough/movie-recommendation-agent", "kernel_id": "102996587"}, {"ref": "krishnapriyasg/diabetes-prediction", "kernel_id": "102991274"}, {"ref": "dragonrunes32/skyetravel", "kernel_id": "102471821"}, {"ref": "tbarathpandiyan/capstone-the-gemini-cook-ai-recipe-finder", "kernel_id": "102890887"}, {"ref": "arathi02/wanderlust-ai-travel-concierge", "kernel_id": "102942319"}, {"ref": "sumanthmajalkody/krishiai", "kernel_id": "102665817"}, {"ref": "poojashivakumar530/personal-productivity-concierge-agent", "kernel_id": "102606167"}, {"ref": "smithamarypaulk/abs-event-planner", "kernel_id": "102837273"}, {"ref": "karthickdmsse/finsms-ai-final-submission", "kernel_id": "102956787"}, {"ref": "vasanthkris/movie-logic-checker", "kernel_id": "102930210"}, {"ref": "yachikamittal/fork-of-smart-service-request-agent", "kernel_id": "102845834"}, {"ref": "shanujan/quantumopt-cirq-synth-enterprise-agent", "kernel_id": "102618668"}, {"ref": "ailiadova/tavern-randerwelt-an-agent-powered-text-rpg", "kernel_id": "102916735"}, {"ref": "gunanthrashrisathish/baseline-agent-for-agents-intensive-capstone", "kernel_id": "102691968"}, {"ref": "aiswarjya/ankita-intelligent-ai-girlfriend-agent", "kernel_id": "102650284"}, {"ref": "shiva2812/health-data-analyzer", "kernel_id": "102988595"}, {"ref": "mayuresh2010/customer-agent-google", "kernel_id": "102116432"}, {"ref": "mayuresh2010/notebook45019bc0d9", "kernel_id": "102111967"}, {"ref": "salwafirdousekousar/taskrouter", "kernel_id": "102984629"}, {"ref": "jaimingajjar1304/smart-money-agent", "kernel_id": "102466077"}, {"ref": "anand077/multi-level-customer-agent", "kernel_id": "102235219"}, {"ref": "vijisankaranarayanan/kidguard-ai-the-anti-loop-curator", "kernel_id": "102080362"}, {"ref": "devarajsubramani/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102923024"}, {"ref": "archipatel19/simple-text-summarizer-agent", "kernel_id": "102987217"}, {"ref": "arunikamondal/cyber-secret", "kernel_id": "102795997"}, {"ref": "vivekmaurya1/concierge-agent", "kernel_id": "102962266"}, {"ref": "tusharkashyap12/interesting-multi-agent-system-ai-detective-projec", "kernel_id": "102994096"}, {"ref": "elhameshghabadi/image-classification-agent", "kernel_id": "102599309"}, {"ref": "insightnav/ai-mentor-agent", "kernel_id": "102692661"}, {"ref": "gokulunni231/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102956552"}, {"ref": "karishmaas/neuromorphic-computing-simulation", "kernel_id": "102574719"}, {"ref": "maksymmusiyenko/aws-to-gcp-agent", "kernel_id": "102431076"}, {"ref": "harshith046/tech-interview-coach-multi-agentsystem", "kernel_id": "102221937"}, {"ref": "biswabhushanswain/mysub", "kernel_id": "102993058"}, {"ref": "jayvarde/horizon-ai", "kernel_id": "102964687"}, {"ref": "mathankumarkasi/notebookeb3505622a", "kernel_id": "102069382"}, {"ref": "antonichensmaannully/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102447626"}, {"ref": "adityakala5555/customer-service", "kernel_id": "102876555"}, {"ref": "mattidinesh/notebooke6e348b8b2", "kernel_id": "102674878"}, {"ref": "ajoychandrapal/capstone-translation-agent-ipynb", "kernel_id": "102797618"}, {"ref": "aranganath/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102257416"}, {"ref": "vujjinipoojitha/eco-waste-wise-agent", "kernel_id": "102086471"}, {"ref": "sanilll/notebook8722447715", "kernel_id": "102140515"}, {"ref": "hsaravan/spendwise-your-spending-assistant", "kernel_id": "102809488"}, {"ref": "ashitabhsri/study-agent", "kernel_id": "102967933"}, {"ref": "pragatich/trustnet-ai-final-capstone-project", "kernel_id": "102821162"}, {"ref": "jasonmilneaus/lablog-capstone", "kernel_id": "102772558"}, {"ref": "ratnamritesh21/parkpal-capstone-project-ritesh-goud-ratnam", "kernel_id": "102630290"}, {"ref": "ramyashantha/news-assist-ramvig-1ai", "kernel_id": "102805839"}, {"ref": "jmanmadharao/healthcaremcp", "kernel_id": "102643559"}, {"ref": "princegowtham092/notebook35716a728a", "kernel_id": "102963515"}, {"ref": "lilibme/agent-digipulse360", "kernel_id": "102480171"}, {"ref": "divitrs/smart-agent", "kernel_id": "102873727"}, {"ref": "priyadharshinirajesh/smart-ux-review", "kernel_id": "102867185"}, {"ref": "simranjuneja25/notebook10107c7c68", "kernel_id": "102821599"}, {"ref": "dhoodaashwitha/tech-career-prep-multi-agent-system", "kernel_id": "102380399"}, {"ref": "gayathri9966/study-smart", "kernel_id": "102937469"}, {"ref": "chayushman/automated-study-planner-event-tracking-adkpython", "kernel_id": "102937397"}, {"ref": "sunnyumar/1-taskgenie-al-to-do-goal-planner", "kernel_id": "102359935"}, {"ref": "harijakkula/wander-lust-ai-travel-planner", "kernel_id": "102308757"}, {"ref": "mdaquib341/capstone-project-athena-ai-mentor", "kernel_id": "102246383"}, {"ref": "ambuj12345/autopilot-ai-engineer-multi-agent-workflow-engine", "kernel_id": "102902586"}, {"ref": "prashamahyong/personal-finance-lifestyle-concierge-system", "kernel_id": "102196990"}, {"ref": "nandhini306/project-estimation-agent-using-gemini", "kernel_id": "102808574"}, {"ref": "pratyushshastri/public-agent", "kernel_id": "102699776"}, {"ref": "abirambharathisa/trend-predictor-agent", "kernel_id": "102322129"}, {"ref": "advaitkulkarni006/customer-care-agent", "kernel_id": "102218566"}, {"ref": "pradeepbiradar20/kaggle-project", "kernel_id": "102120707"}, {"ref": "srsharathkumar/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102429186"}, {"ref": "aliza9211/study-planner-agent", "kernel_id": "102848245"}, {"ref": "katarzynadrag/red-teaming-orchestrator-poc", "kernel_id": "102633308"}, {"ref": "shwetavyamakanamardi/narrative-agency-agent", "kernel_id": "102725503"}, {"ref": "manjurekhan/smart-personal-organizer-agent", "kernel_id": "102567611"}, {"ref": "rosyjebasteena/smartresearchassistance-py", "kernel_id": "102592667"}, {"ref": "kiruthikammkiruthika/notebook571d0fa067", "kernel_id": "102885403"}, {"ref": "maheswariravi/the-world-in-1996-my-birth-year", "kernel_id": "102309804"}, {"ref": "sonalisahoo2025/fabfour", "kernel_id": "102794821"}, {"ref": "abhijithpratheesh/the-smart-meal-grocery-concierge", "kernel_id": "102895277"}, {"ref": "hemanthkumarmatta/code-for-research-assistant-agent", "kernel_id": "102228402"}, {"ref": "ramanvegi/recipecreator-agent-kaggle", "kernel_id": "102421874"}, {"ref": "tejalsingla/notebookf42f274072", "kernel_id": "102465262"}, {"ref": "venkidivya/ai-study-buddy-final-submission", "kernel_id": "102875309"}, {"ref": "mohammedaashiqn/smarttask-agent", "kernel_id": "102746966"}, {"ref": "dilpreet61/notebook9dd6463b74", "kernel_id": "102358430"}, {"ref": "aravindragul551620/capstone-enterprise-agent-framework-capstone", "kernel_id": "102738133"}, {"ref": "sreejarekala/adaptive-personal-study-coach", "kernel_id": "102958870"}, {"ref": "ahanroy1729/capstone-project", "kernel_id": "102934483"}, {"ref": "gullipallisushma/agents-for-good-study-helper-agent", "kernel_id": "102102931"}, {"ref": "dougaltenbern/resumentor", "kernel_id": "102806937"}, {"ref": "nareshnov/agent-medi-rec", "kernel_id": "102413328"}, {"ref": "mariablessyrj/multi-agent-ai-pipeline-with-gemini", "kernel_id": "102667514"}, {"ref": "muthupriyaravi/notebook84c79fac5e", "kernel_id": "102944816"}, {"ref": "muthupriyaravi/notebook4920647597", "kernel_id": "102945075"}, {"ref": "abuzer2000/retail-intelligence-agent-system-ria", "kernel_id": "102396994"}, {"ref": "rajdeepbiswas7/genmind-idea-content-generation-assistant", "kernel_id": "102743598"}, {"ref": "goutamsharmaofficial/smart-task-automation-platform", "kernel_id": "102792039"}, {"ref": "govindplal/notee-insight-agent", "kernel_id": "102978404"}, {"ref": "neilrozario/calorie-intelligence-neil-rozario", "kernel_id": "102373373"}, {"ref": "tusharbharambe/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102798559"}, {"ref": "rafaelsgonzalez/rafael-salinas-ai-powered-project-management", "kernel_id": "102809362"}, {"ref": "darisbinu/travel-planner", "kernel_id": "102872993"}, {"ref": "preethisaravanakumar/agent-black-friday", "kernel_id": "102317264"}, {"ref": "dineshkumarpalla/mindoverflow-cleaner", "kernel_id": "102837198"}, {"ref": "jagadeeshkumar45/renewal-agent-beta-1", "kernel_id": "102877910"}, {"ref": "mukthikas/lifehub-ai-concierge-agent-by-mukthika", "kernel_id": "102392693"}, {"ref": "rmathankumar/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102344459"}, {"ref": "amrithamadampully/ai-powered-disaster-alert-routing-system", "kernel_id": "102854992"}, {"ref": "atharvamanjarekar/maven-1", "kernel_id": "102947321"}, {"ref": "abhi4910/notebook91df3d62f8", "kernel_id": "102971471"}, {"ref": "giteshmali/phishguard-ai-agent-capstone-2-hours-ago-0-upvot", "kernel_id": "102314266"}, {"ref": "sobhanbahrami0/agentic-recruiter", "kernel_id": "102961941"}, {"ref": "haridhradg/enterprise-agents", "kernel_id": "102880101"}, {"ref": "adithya123345678/notebook3d9d086034", "kernel_id": "102696607"}, {"ref": "deviprasad09t/notebook878425efb0", "kernel_id": "102472599"}, {"ref": "vinayakdevde/vivo-the-perfect-agent", "kernel_id": "102952710"}, {"ref": "roshnipremani/autism-recognition-ai-agent", "kernel_id": "102690578"}, {"ref": "nishantkhart/smart-customer", "kernel_id": "102946848"}, {"ref": "dhanalakshmigovind/medisync-ai-powered-multi-agent-healthcare", "kernel_id": "102184547"}, {"ref": "hashinideepa/codemaker-agent", "kernel_id": "102433540"}, {"ref": "nairitmandal06/bureaucracy-breaker-ai-citizen-s-assistant", "kernel_id": "102953431"}, {"ref": "parithi619/intelligent-code-review-bug-detection-agent", "kernel_id": "102308851"}, {"ref": "neethuva/lexiclarity-ai-legal-concierge-agent", "kernel_id": "102418942"}, {"ref": "shekharbahuguna/ai-agent-google-kaggle-assistant", "kernel_id": "102884532"}, {"ref": "raghav911/medisync-capstone-project", "kernel_id": "102469291"}, {"ref": "balbirkaurbansal/clothing-customer-support-multi-agent-bot", "kernel_id": "102444870"}, {"ref": "vedantpatil729/notebook127c34c9cf", "kernel_id": "102652904"}, {"ref": "nikitasathe20/careercraft-ai", "kernel_id": "102439666"}, {"ref": "shrutimushan/traveltech-assist", "kernel_id": "102954431"}, {"ref": "rushilnadakuditi/mindmatrix-ai-agent-kaggle-competition-as-9efa68", "kernel_id": "102245387"}, {"ref": "ajinsudhir/perf-ai-copilot", "kernel_id": "102948449"}, {"ref": "pedrotreccani/1-productioninsightagentsuite-mainfile-demo", "kernel_id": "102736183"}, {"ref": "annamsravyasri/meal-planning-agent", "kernel_id": "102320100"}, {"ref": "sagartiwarii/quick-earn-a-ai-tool-for-financial-analysis", "kernel_id": "102269289"}, {"ref": "meetchaudhari12/mittisense", "kernel_id": "102883214"}, {"ref": "busichandu/supply-chain-ai-agent", "kernel_id": "102221136"}, {"ref": "ndnx25/ai-gmail-triage-agent-notebook", "kernel_id": "102927214"}, {"ref": "solopreneur88/enterprise-customer-support-agent-system", "kernel_id": "102789353"}, {"ref": "ashleshshegde/ai-job-application-optimizer-capstone", "kernel_id": "102666953"}, {"ref": "ganeshnbambulage/nutriplan-ai", "kernel_id": "102867438"}, {"ref": "harisankern/notebook7e353346dc", "kernel_id": "102098259"}, {"ref": "edigasivakumar/study-assistant-multi-agent", "kernel_id": "102703339"}, {"ref": "princeks2x123/notebook44ae611d63", "kernel_id": "102790751"}, {"ref": "shyamyadav23/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102927385"}, {"ref": "barkitpatel/invoice-reader-ai-agent-barkit-patel", "kernel_id": "102745875"}, {"ref": "sanchigor/ecosort-ai-smart-waste-sorting-recycling-advisor", "kernel_id": "102335623"}, {"ref": "amozhi280/ai-cyber-guardian-agent", "kernel_id": "102667510"}, {"ref": "ratnakarbhatnagar/customer-support-agent", "kernel_id": "102887514"}, {"ref": "techochat/medichat-code", "kernel_id": "102853723"}, {"ref": "krishagrawal99999/notebookd4a451848e", "kernel_id": "102901648"}, {"ref": "bharathkowshik25/homefix-ai-agent", "kernel_id": "102847860"}, {"ref": "manithkumar/inboxpilot-ai-autonomous-email-manager", "kernel_id": "102614176"}, {"ref": "bhavanasri09/ai-study-assistant", "kernel_id": "102088478"}, {"ref": "praveenthamizh/financelens-multiagent-finance-crew", "kernel_id": "102953331"}, {"ref": "omkarog95/mindmatrix-ai-agent-kaggle-competition-as-2d426a", "kernel_id": "102335098"}, {"ref": "geethsreek/safty-patrol-agent", "kernel_id": "102319652"}, {"ref": "itsvighnajit/multi-agent-ticket-triage-assistant", "kernel_id": "102922936"}, {"ref": "dibyajyotidasgupta/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102956962"}, {"ref": "navyageorge7/health-fitness-coach", "kernel_id": "102889344"}, {"ref": "moulikgarhwal/smart-study-assistant-capstone", "kernel_id": "102209556"}, {"ref": "saisriarunaattaluri/trip-planner-ai-agent", "kernel_id": "102704821"}, {"ref": "devanshkhosla/ai-travel-agent", "kernel_id": "102414049"}, {"ref": "brshamanth/ecosort-ai-assistant", "kernel_id": "102713233"}, {"ref": "sameerkumar5105/roadmapmaker", "kernel_id": "102301190"}, {"ref": "purvaasaxena/travel-agent", "kernel_id": "102111478"}, {"ref": "noelchan/vm-smart-eye-gemini", "kernel_id": "102865326"}, {"ref": "ratanagarwal/hackathon-capstone-project", "kernel_id": "102663537"}, {"ref": "manisundar077/the-codebase-archaeologist", "kernel_id": "102388016"}, {"ref": "aishwaryaa31/scamshield-sentinel-capstone-project", "kernel_id": "102952392"}, {"ref": "snehaljakhale24/smart-study-agent", "kernel_id": "102776761"}, {"ref": "nithiskamaraj/trip-planner-capstone-by-nithis-k", "kernel_id": "102936324"}, {"ref": "hitanshisingh/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102373506"}, {"ref": "lalithd13/datamover-agent", "kernel_id": "102947732"}, {"ref": "simarkaurkhanuja/studybuddy", "kernel_id": "102874682"}, {"ref": "priti620/capstone", "kernel_id": "102926695"}, {"ref": "devanshidewangan/agent-with-customer", "kernel_id": "102888720"}, {"ref": "evuriharika/multi-agent-support", "kernel_id": "102530523"}, {"ref": "kunalgawand/edurescue-the-universal-learning-agent", "kernel_id": "102928735"}, {"ref": "mothini/taskcharge-ai-smart-task-automation-agent", "kernel_id": "102227359"}, {"ref": "mohammedvasi/atmospheric-agent-notebook", "kernel_id": "102704745"}, {"ref": "aishwaryakannan02/pharmacy-pa-predictor-ai-agent", "kernel_id": "102972451"}, {"ref": "sridharu3/studynova", "kernel_id": "102455617"}, {"ref": "ayush230806/cortex-agent", "kernel_id": "102346819"}, {"ref": "rahulmohan19071998/business-analytics-ai-agent", "kernel_id": "102557788"}, {"ref": "ajaygh21/the-agentic-story-book", "kernel_id": "102751243"}, {"ref": "anayayadav/notebook29f45dfc69", "kernel_id": "102719748"}, {"ref": "signalcraftjs/phone-plan-advisor", "kernel_id": "102741084"}, {"ref": "jaithratjames/meeting-intelligence-agent-jaithra", "kernel_id": "102981176"}, {"ref": "samarthagasthyams/ai-code-concierge-submission", "kernel_id": "102302130"}, {"ref": "mateusoliveiramendez/concierge-agents-multi-agent-course-builder", "kernel_id": "102745981"}, {"ref": "ashishnarayana/rocky-capstone-project", "kernel_id": "102621122"}, {"ref": "gouthamranganathr/job-application-speeder", "kernel_id": "102833949"}, {"ref": "sravyaponnam/5-day-intensive-study", "kernel_id": "102671859"}, {"ref": "yao369/ai-meal-planner", "kernel_id": "102979915"}, {"ref": "kamalkumaarr/notebooke6ab34c583", "kernel_id": "102942685"}, {"ref": "stevezx7/careetoriai", "kernel_id": "102544425"}, {"ref": "jeeveshr/notebookf3ea41ffb2", "kernel_id": "102959189"}, {"ref": "sagarsahu123/mechanic-mitra", "kernel_id": "102710831"}, {"ref": "sravanabandi/wanderwise-agent", "kernel_id": "102383898"}, {"ref": "sravanabandi/wander-wise-agent-1", "kernel_id": "102984089"}, {"ref": "banelashivani/mart-grocery-agent-py", "kernel_id": "102937886"}, {"ref": "samarthjain27/notebook557bf90126", "kernel_id": "102320758"}, {"ref": "jinumary/medication-adherence-buddy", "kernel_id": "102261299"}, {"ref": "zahwab/flashcard", "kernel_id": "102963133"}, {"ref": "nileshpawar07/auto-revision-agent-for-students", "kernel_id": "102794562"}, {"ref": "rutujagaikwad114/property-advisor", "kernel_id": "102923539"}, {"ref": "sumanthbs2006/policyassist-ai-assistant", "kernel_id": "102963154"}, {"ref": "virus2k4/what-s-cooking", "kernel_id": "102503921"}, {"ref": "gayatrikumari22/capstone-smartoutfit", "kernel_id": "102990754"}, {"ref": "chandru12vijay/cricket-match-prediction", "kernel_id": "102357370"}, {"ref": "airawatraj/fiduciary-agent-the-risk-aware-orchestrator", "kernel_id": "102394128"}, {"ref": "ashishashokan/final-project", "kernel_id": "102244915"}, {"ref": "rahulrajsbkk/pathfinder-ai-learning-coach-for-self-learners", "kernel_id": "102360768"}, {"ref": "chetansharma221995/eldercare-agent-suite", "kernel_id": "102864292"}, {"ref": "indhiranitr/techai", "kernel_id": "102991674"}, {"ref": "yugandhar26/ai-education", "kernel_id": "102750868"}, {"ref": "bujji01/multi-functions-of-ai-agent", "kernel_id": "102434109"}, {"ref": "tharsigan/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102695607"}, {"ref": "gmathankumar/careersync", "kernel_id": "102201316"}, {"ref": "dayananddarpan/kaggle-competitions-agents-intensiv", "kernel_id": "102959919"}, {"ref": "sreejusk/sreeju-project", "kernel_id": "102933788"}, {"ref": "alisultanyt/autogpt-ai-agent-kaggle-competition-assistant", "kernel_id": "102856298"}, {"ref": "sumitbanerjee01/health-ai-agent-smart-inr-dose-advisor-agent", "kernel_id": "102421430"}, {"ref": "krishnapathak7/gramin-health-guide-demo", "kernel_id": "102589413"}, {"ref": "mydiksha/capstone-project", "kernel_id": "102109695"}, {"ref": "amitarya4/agent-realityrift", "kernel_id": "102811794"}, {"ref": "hemanshivasudeo/customenterpries-ai", "kernel_id": "102076873"}, {"ref": "dhanvantariakolkar/cardiocare", "kernel_id": "102860105"}, {"ref": "arindamsenapati/cpdassist", "kernel_id": "102995511"}, {"ref": "manikandans1997/ai-release-manager-for-devops", "kernel_id": "102855588"}, {"ref": "abdussamibijapure/notebookd22ca9a520", "kernel_id": "102997211"}, {"ref": "nashashworth/alphabitz-capstone", "kernel_id": "102556694"}, {"ref": "arijitpandit/smartly", "kernel_id": "102277742"}, {"ref": "ajeshjanardanan/kochi-one-day-travel-concierge-agent", "kernel_id": "102984233"}, {"ref": "sanskritikrishna/notebook61266cc44e", "kernel_id": "102140199"}, {"ref": "sanskritikrishna/ai-fashion-concierge", "kernel_id": "102310377"}, {"ref": "shrutisharma21/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102745291"}, {"ref": "anuragkashyap1432/credit-risk-data-assistant-agent", "kernel_id": "102782287"}, {"ref": "parman123/galaxy", "kernel_id": "102706386"}, {"ref": "amanagarwal1605/ai-form-filler", "kernel_id": "102684352"}, {"ref": "udayramakoteswaraon/genai-resume-screening-assistant-pigeon-tech", "kernel_id": "102779895"}, {"ref": "mallamohithjaitej/ai-study-agency-development", "kernel_id": "102802590"}, {"ref": "dharun4/taskbuddy", "kernel_id": "102706993"}, {"ref": "advaitvalsangkar/ai-news-summarizer-bias-detector-agent-advait", "kernel_id": "102923023"}, {"ref": "ashmandas/notebookd8e31e0558", "kernel_id": "102386375"}, {"ref": "iamyuvi/hospital-concierge-and-triage-agent", "kernel_id": "102888639"}, {"ref": "rohanjoshi06/capstone-smart-resume-analyzer", "kernel_id": "102382153"}, {"ref": "shireenkhatoon12/project-capstone", "kernel_id": "102997655"}, {"ref": "hkdsc2024/mind-care", "kernel_id": "102943250"}, {"ref": "mishrajanvi/personal-health-agent", "kernel_id": "102613611"}, {"ref": "swathim091999/green-pulse-sentinel", "kernel_id": "102128634"}, {"ref": "sivashanmughamcp/customized-ai-powered-job-application-letter-gen", "kernel_id": "102318173"}, {"ref": "ekramulhaquenjupt/mindmatrix-ai-agent-kaggle-competition-as-ad3bd6", "kernel_id": "102349122"}, {"ref": "akshathaaaa1924/socialens", "kernel_id": "102863355"}, {"ref": "aakashtsb/budget", "kernel_id": "102228839"}, {"ref": "dharaneshb/notebook5fea5d81fd", "kernel_id": "102922867"}, {"ref": "urvatembhare/ai-smart-workspace-organizer-multi-agent-project", "kernel_id": "102859717"}, {"ref": "agrawalamit1/agent-cela", "kernel_id": "102999372"}, {"ref": "rishabhroy021/notebook33c23a4972", "kernel_id": "102995742"}, {"ref": "hrrakshitha/invoice-bill", "kernel_id": "102372163"}, {"ref": "utkarshsharmaaaaa/jurisdiction-smart-civic-complaint-agent-nh-vs-ci", "kernel_id": "102985407"}, {"ref": "aswinkit009/studysmart-your-prep-assistant", "kernel_id": "102418240"}, {"ref": "shreenathtambe/the-smart-trip-agent", "kernel_id": "102704163"}, {"ref": "jeevapriyantk/uni-mentor-ai", "kernel_id": "102855224"}, {"ref": "shifaminnu/prep-mate-notebook-demo-py", "kernel_id": "102984658"}, {"ref": "shifaminnu/prepmate-ai", "kernel_id": "102978328"}, {"ref": "raviranjan91995/notebook529367e52c", "kernel_id": "102558764"}, {"ref": "arpitaasahu/agent-flutter", "kernel_id": "102654516"}, {"ref": "pratik13x/visual-brand-guardian-gemini-3-pro-edition", "kernel_id": "102861416"}, {"ref": "shefalisingh28/schedulee-ai", "kernel_id": "102751683"}, {"ref": "adityaseswani/astrakaggle-assistant", "kernel_id": "102777712"}, {"ref": "pratibhapurawat/a-smart-to-do-manager-agent", "kernel_id": "102545099"}, {"ref": "ashwinkrishnakumar/dineai", "kernel_id": "102990622"}, {"ref": "krish0221/notebookf8f83e50b8", "kernel_id": "102934107"}, {"ref": "tahsinhabib/ai-agent-for-hackathon-data-analysis", "kernel_id": "102127198"}, {"ref": "daniilkiliakou/notebook0fefd2e146", "kernel_id": "102578832"}, {"ref": "abhisheksharma7777/google-capstone-project", "kernel_id": "102964215"}, {"ref": "prem497/krishi-mitra-farmer-advisory-agent", "kernel_id": "102412516"}, {"ref": "mohammedsaleem7711/signtalkfinal", "kernel_id": "102485740"}, {"ref": "mahathibheemasari/ai-agent-for-people", "kernel_id": "102807774"}, {"ref": "riteshkumarraushan/class-12-physics-exam-master-ai-agent", "kernel_id": "102221339"}, {"ref": "tusharmalik9/customer-support-agent-kaggle-competition", "kernel_id": "102992914"}, {"ref": "samruddhi76/boardroom", "kernel_id": "102613269"}, {"ref": "hamzak786/multi-pupose-agent-assistant", "kernel_id": "102875846"}, {"ref": "rajansingh01/factflow", "kernel_id": "102813296"}, {"ref": "rajansingh01/factflow-agentic-system", "kernel_id": "102813513"}, {"ref": "rajansingh01/factflow-multi-agent-rag-system", "kernel_id": "102413750"}, {"ref": "abisam8/ultimate-meal-planner-agent", "kernel_id": "102633974"}, {"ref": "sravanthijaladi/notebookc967b35fef", "kernel_id": "102974484"}, {"ref": "anshsarswat/workflowpro-concierge-agents", "kernel_id": "102234784"}, {"ref": "mohitgupta0108/the-fintech-gem-library", "kernel_id": "102957311"}, {"ref": "mohammedmansourm/portfolio-rebalancing-mentor-agent", "kernel_id": "102988331"}, {"ref": "sivamusk/medical-agent", "kernel_id": "102831446"}, {"ref": "cse23x01a0510/notebook3d9bf6d113", "kernel_id": "102795277"}, {"ref": "aakarun/aurora-ai", "kernel_id": "102151717"}, {"ref": "praju2007/project", "kernel_id": "102458032"}, {"ref": "ayyalaharshitha/smart-text-analyzer", "kernel_id": "102420715"}, {"ref": "elamaranb7/globetrotter", "kernel_id": "102955146"}, {"ref": "chandanabalachandran/project-capstone", "kernel_id": "102384020"}, {"ref": "suchithrapasupurathi/multi-agent", "kernel_id": "102227643"}, {"ref": "mohammadrezaokhovat/energy-market-intelligence-portfolio-risk-assist", "kernel_id": "102880439"}, {"ref": "arnavtalwar1/keyxgrowth-ai", "kernel_id": "102113156"}, {"ref": "swatipatil1/notebookaa7edc6daf", "kernel_id": "102933525"}, {"ref": "madesh81/notebookba3264a799", "kernel_id": "102764403"}, {"ref": "rajiniyadavmahanandi/vertex", "kernel_id": "102662477"}, {"ref": "romaisamobeen/project", "kernel_id": "102902532"}, {"ref": "anshulnarwal/task-oriented-ai-agent", "kernel_id": "102756557"}, {"ref": "saadaneesjanjua/fin-assist", "kernel_id": "102623829"}, {"ref": "ali83mirzaei/agentflow-intelligent-note-processing-pipeline", "kernel_id": "102691761"}, {"ref": "ricklegend17/pathforge-agent", "kernel_id": "102983102"}, {"ref": "sawan07/medi-ai-powered", "kernel_id": "102808014"}, {"ref": "mridulsharma123/customeragent", "kernel_id": "102357381"}, {"ref": "dhanakshimaheshwari/enterprise-agent-invoice-processing-ai-suite", "kernel_id": "102158723"}, {"ref": "priyaprachi/personalized-learning-for-a-diverse-classroom", "kernel_id": "102975923"}, {"ref": "prajapati47/ai-customer-helpdesk-agent", "kernel_id": "102832571"}, {"ref": "omgupta0/personal-learning-journey-agent", "kernel_id": "102799707"}, {"ref": "anitabarick/customer-service-ai-agent", "kernel_id": "102992863"}, {"ref": "supriyaanand21/automation-robotics", "kernel_id": "102696505"}, {"ref": "arunbalajisiva/kg3-object-detection-pipeline-owl-vit-no-numpy", "kernel_id": "102507245"}, {"ref": "thanishkakus/notebook7d4a93b97a", "kernel_id": "102758681"}, {"ref": "chinmaymahulkar/multi-agent-healthcare-triage-assistant", "kernel_id": "102627189"}, {"ref": "nandukumarkoribilli/code-error-check-ai-agent", "kernel_id": "102607657"}, {"ref": "divyaprakashsahu/the-intelligent-git-sentinel", "kernel_id": "102780154"}, {"ref": "yashuphade/getviralai", "kernel_id": "102981072"}, {"ref": "mukundkumaracharya/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102944049"}, {"ref": "kunjjavia/memory-lane", "kernel_id": "102166994"}, {"ref": "dhanush908/kaggle-capstone-project-life-admin-autopilot", "kernel_id": "102866690"}, {"ref": "preethiy19/urban-help-concierge-agent", "kernel_id": "102723365"}, {"ref": "hschandana/ai-powered-disaster-alert-agent-system-capstone", "kernel_id": "102456273"}, {"ref": "swathisanugula/software-bug-assist", "kernel_id": "102557663"}, {"ref": "swathisanugula/software-bug-assistant", "kernel_id": "102556395"}, {"ref": "blesslinjoel/learnmate-research-concept-notebook", "kernel_id": "102878681"}, {"ref": "ishikavarshney11/autonomous-multi-agent-study-coach", "kernel_id": "102225741"}, {"ref": "tabishkaif/youtube-automation-agent-freestyle-track", "kernel_id": "102468196"}, {"ref": "nirekshah/notebookd34589bd49", "kernel_id": "102958895"}, {"ref": "dheekshikas/notebook119831c0d4", "kernel_id": "102861972"}, {"ref": "prakharduttshukla/notebook7911c91334", "kernel_id": "102985489"}, {"ref": "ryanchan168/the-used-car-lemon-detector-agent", "kernel_id": "102387405"}, {"ref": "rohanprajapati123/life-balance-agent-wellness-productivity-an", "kernel_id": "102428294"}, {"ref": "sriramsanth/smart-planner", "kernel_id": "102885735"}, {"ref": "komaluntwal/astraguard", "kernel_id": "102796445"}, {"ref": "anushapoojary98/kpi-insights-agent", "kernel_id": "102721527"}, {"ref": "mupidathidakshathas/ai-automated-blog-writer-agent", "kernel_id": "102928926"}, {"ref": "saumyasingh17/notebook15f63f6ef9", "kernel_id": "102852198"}, {"ref": "nishanthhg99/capstoneproject-lawyer-agent", "kernel_id": "102229004"}, {"ref": "sruthiraviuk1997/baby-meal-planner", "kernel_id": "102699151"}, {"ref": "akashbethe/optimal-crop-fertilizer-recommendation-system", "kernel_id": "102785676"}, {"ref": "gani1811/mindmatrix-ai-agent-kaggle-competition-as-5fd9c0", "kernel_id": "102123049"}, {"ref": "nirajjoshi09/smart-event-management", "kernel_id": "102870865"}, {"ref": "ponabinanth1810/notebookeed5f14e83", "kernel_id": "102929486"}, {"ref": "archana58/auto-datascientist", "kernel_id": "102338474"}, {"ref": "mahlaroshni/notebookai", "kernel_id": "102329983"}, {"ref": "mathesh2007/smart-study-assistant-agent-capstone-project", "kernel_id": "102462606"}, {"ref": "arulpandianrasu/ai-logops-debugger", "kernel_id": "102937095"}, {"ref": "priyanshu77kaggle/customer-agent", "kernel_id": "102228538"}, {"ref": "sarahfatima25/customer-agent-capstone-project", "kernel_id": "102725223"}, {"ref": "samridhiahuja2075/mealplanningagent", "kernel_id": "102681185"}, {"ref": "rishwak/assistflow", "kernel_id": "102688733"}, {"ref": "prasad0/notebookd1561d3d18", "kernel_id": "102870198"}, {"ref": "prasad0/notebookc100f8a04e", "kernel_id": "102965212"}, {"ref": "ayushshende2679/voiceflow", "kernel_id": "102514933"}, {"ref": "mitchellai/mitchell-ferguson", "kernel_id": "102816690"}, {"ref": "ernikamoradshahi/shopping-assistant-agent-adk", "kernel_id": "102389123"}, {"ref": "alencherian/auto-cv-agent", "kernel_id": "102932398"}, {"ref": "nidhingopal/localfood-ai-kozhikode", "kernel_id": "102411421"}, {"ref": "zakielt/resume-optimizer", "kernel_id": "102307959"}, {"ref": "alencheriana/supplychain-zero", "kernel_id": "102928810"}, {"ref": "shivangiiigupta/smart-trip-architect", "kernel_id": "102217526"}, {"ref": "ankitkumar204/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102656732"}, {"ref": "ashwinimurugappan/multi-agent-investment-system", "kernel_id": "102951270"}, {"ref": "deepalivaishnav/crazy", "kernel_id": "102831116"}, {"ref": "pravalika03/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102079141"}, {"ref": "nehakasdey/product-marketing-manager-agent", "kernel_id": "102988062"}, {"ref": "ashutoshprashun01aug/fingraph-ai-corporate-financial-knowledge-graph", "kernel_id": "102706058"}, {"ref": "sarwadeyashodeep/smarty123", "kernel_id": "102303341"}, {"ref": "nanireddypinninti14/multi-agent-healthcare-model", "kernel_id": "102719921"}, {"ref": "cvkruthivasan/ai-attendance-system", "kernel_id": "102070389"}, {"ref": "pallavijadhav96k/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102834430"}, {"ref": "prajwalshahare/multi-agent-system-design", "kernel_id": "102072495"}, {"ref": "kotapatiarunkumar/mindmatrix-ai-agent-kaggle-competition-as-da99c4", "kernel_id": "102070981"}, {"ref": "kotapatiarunkumar/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102065357"}, {"ref": "adspolitanteam/ai-learning-content-concierge-agent", "kernel_id": "102592837"}, {"ref": "jashwanth95/repro-agent-autonomous-scientific-auditor", "kernel_id": "102385287"}, {"ref": "sahithibuddepu/smart-document-intelligence-agent", "kernel_id": "102781019"}, {"ref": "vaishnavi369/visiomath1-0", "kernel_id": "102896507"}, {"ref": "rohanjambusaria/eduresearch-agent-ai-powered-research-assistant", "kernel_id": "102339251"}, {"ref": "kjal567788/codes-for-climate-resuce-agent-using-multimodel-ai", "kernel_id": "102968727"}, {"ref": "shijochackofrancis/newcomer-navigator-capstone-ipynb", "kernel_id": "102174652"}, {"ref": "govindarajajami/yatratravelagent", "kernel_id": "102266360"}, {"ref": "sreeswathikatika/notebookb201728789", "kernel_id": "102938580"}, {"ref": "vipulsharma049/smart-ai-agent", "kernel_id": "102845162"}, {"ref": "jyothiswaroopuppala/notebookb1f8c1fe48", "kernel_id": "102516549"}, {"ref": "tusharpavaskar735/ai-support-agent-for-troubleshooting-phone-laptop", "kernel_id": "102328248"}, {"ref": "durgeshkhandal/geogenie-the-local-guide", "kernel_id": "102236313"}, {"ref": "slawomirstrojek/jms-agent", "kernel_id": "102268734"}, {"ref": "taaanshika/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "102214499"}, {"ref": "jineshbarot1234/arios-powered-by-grock", "kernel_id": "102234927"}, {"ref": "narentk/trade-research-assistant", "kernel_id": "102995714"}, {"ref": "nathan111207/fitjourney-2", "kernel_id": "102918048"}, {"ref": "chandreshpandey17/notebook8fa8a007c6", "kernel_id": "102423138"}, {"ref": "jineshmayurbarot/the-market-mind-swarm", "kernel_id": "102360704"}, {"ref": "yogeshbhandari07/notebookea13453100", "kernel_id": "102772127"}, {"ref": "sshazim/codepulse-notebook-submission", "kernel_id": "102522652"}, {"ref": "sshazim/codepulse", "kernel_id": "102522730"}, {"ref": "haikuxpp/smart-task-prioritizer-agent", "kernel_id": "102704364"}, {"ref": "harshdamkondwar/mealmate", "kernel_id": "102871890"}, {"ref": "wenkaimlee/food-recommendation", "kernel_id": "102982771"}, {"ref": "ishitadutta220/healthmate-ai", "kernel_id": "102860561"}, {"ref": "shailesh4/health-check-assistant-agents", "kernel_id": "103080866"}, {"ref": "alcazar/food-delivery-concierge-capstone-project", "kernel_id": "103308486"}, {"ref": "ronaoran/flexible-billing-agent", "kernel_id": "103082466"}, {"ref": "grldsndrs/resumay-i-submission", "kernel_id": "103132093"}, {"ref": "tarasankar/mediassist-ai", "kernel_id": "103027349"}, {"ref": "sastechs/sas-agent-capstone-submission2", "kernel_id": "103228477"}, {"ref": "hainingz/time-series-analysis-with-ai-agent", "kernel_id": "103313867"}, {"ref": "srishty/auto-patch-pr-agent", "kernel_id": "103093723"}, {"ref": "diglesia/rare-diseases-finder", "kernel_id": "103085870"}, {"ref": "lumos18/kggenerator-agent-v9", "kernel_id": "103193147"}, {"ref": "robotjelly/build-an-image-generation-agent-with-cost-approval", "kernel_id": "103078505"}, {"ref": "fur10u5qt/safespace-guardian", "kernel_id": "103095782"}, {"ref": "silviosopic/adk-demo", "kernel_id": "103084617"}, {"ref": "gullalchm/newslens-multi-agent-news-framing-analysis", "kernel_id": "103046732"}, {"ref": "anujsoni/personalized-ai-tutor", "kernel_id": "103855194"}, {"ref": "vcincean/mas-for-cyber-threat-reports", "kernel_id": "103071754"}, {"ref": "dinayoussef/smart-travel-planner-agent-capstone-project", "kernel_id": "103003123"}, {"ref": "gharsallahsa/iris-879", "kernel_id": "103022105"}, {"ref": "vinikaguptaa/haippy-mental-health-support-system", "kernel_id": "103070812"}, {"ref": "nipunh/campaignconnect-multiagent", "kernel_id": "103091382"}, {"ref": "consciously/reporefiner", "kernel_id": "103094919"}, {"ref": "snowholt/adk-study-planner", "kernel_id": "103100466"}, {"ref": "anilkrsah/cems-ai-campus-event-assistant", "kernel_id": "103018888"}, {"ref": "bkokocinski/agents-capstone", "kernel_id": "103085219"}, {"ref": "olajidechris/helpconnect-genai", "kernel_id": "103054984"}, {"ref": "sayandas010164/customer-agent-capstone", "kernel_id": "103097642"}, {"ref": "priya2117/delhi-aqi-intelligence-system", "kernel_id": "103116552"}, {"ref": "pcyslm/kaggleagentsintensivecapstone-travelplanningagent", "kernel_id": "103080179"}, {"ref": "likhita12/voyageai-capstone", "kernel_id": "103179922"}, {"ref": "shakeel70/the-intelligent-culinary-concierge", "kernel_id": "103267639"}, {"ref": "vasanaust/smartsupermarket-digitaltwin", "kernel_id": "103080398"}, {"ref": "apurvaumredkar/agents-capstone-personalized-fitness-coach", "kernel_id": "103003100"}, {"ref": "ganapathykrishnan/pl-news-pipeline", "kernel_id": "103066402"}, {"ref": "andreeaginga/ai-wellness-coach", "kernel_id": "103044392"}, {"ref": "monikanarayan/ai-sre-incident-commander", "kernel_id": "103003034"}, {"ref": "navneetprabhat/personal-assistant", "kernel_id": "103066708"}, {"ref": "prajvalp/enterprise-audit-agent-gemini-reconciliation", "kernel_id": "103075578"}, {"ref": "borisromanciuc/gdpr-compliance-agent-adk", "kernel_id": "103083922"}, {"ref": "raghvendradubey0410/ai-career-concierge-agent-ipynb", "kernel_id": "103002911"}, {"ref": "hemantsushant/nomadnavigator", "kernel_id": "103030490"}, {"ref": "ramsesmdlc/sovereign-rating-system", "kernel_id": "103089331"}, {"ref": "mannekruth/information-summarizer-with-search-grounding", "kernel_id": "103087688"}, {"ref": "praveenthogeti/taskbreaker", "kernel_id": "103082129"}, {"ref": "saleem786khan/automated-personal-finance-coach", "kernel_id": "103050655"}, {"ref": "atharvajadhav99/job-search-agent", "kernel_id": "103223303"}, {"ref": "josephnehrenz/multi-agent-ai-the-picky-eater-protocol", "kernel_id": "103012205"}, {"ref": "xoticbanda/genai-resume-screener", "kernel_id": "103067169"}, {"ref": "cristianvertiz/planning-assistant-agent", "kernel_id": "103007314"}, {"ref": "cristianvertiz/deployed-planning-assistant-agent", "kernel_id": "103007481"}, {"ref": "cristianvertiz/notebook-planning-assistant-agent", "kernel_id": "103292375"}, {"ref": "assiaben/researchforge-ai", "kernel_id": "103006441"}, {"ref": "swapnilbehere/custom-notion-agent", "kernel_id": "103045183"}, {"ref": "bhaagavatham/aurahealth", "kernel_id": "103288820"}, {"ref": "omkargavand/medcheck-medical-bill-error-detection-system", "kernel_id": "103052035"}, {"ref": "muskanmulyan/enterprise-loglens-a-log-analyzer-multi-agent", "kernel_id": "103070603"}, {"ref": "karunakaranr/trade-research-assistant", "kernel_id": "103023009"}, {"ref": "corneliuspurnomo/marketmind-the-multi-agent-investment-committee", "kernel_id": "103068213"}, {"ref": "samehshehata/aeronav-ai", "kernel_id": "103029705"}, {"ref": "imtahiriqbal/femhealth-360-multi-agent-for-women-s-healthcare", "kernel_id": "103142921"}, {"ref": "alidibaj21/vibrationagent-a-data-scientist-assistant", "kernel_id": "103018003"}, {"ref": "hariharanvenkatraman/roboshift-code", "kernel_id": "103031746"}, {"ref": "talhasayyed1995/resumeanalyseagent", "kernel_id": "103036560"}, {"ref": "saifuddinahmed/agriguard-bot", "kernel_id": "103092858"}, {"ref": "jahidulzaid/automated-research-agent", "kernel_id": "103003122"}, {"ref": "rohanrathod02/studybuddy-ai-powered-pdf-rag-study-planner-agent", "kernel_id": "103054205"}, {"ref": "hudasaleh1/ai-investment-analyst", "kernel_id": "103070768"}, {"ref": "namit864/ecosound-guardian", "kernel_id": "103085330"}, {"ref": "namit864/ecosoundguardian1", "kernel_id": "103086898"}, {"ref": "mahmoudmtamer/automating-tech-support-with-multi-agent-ai", "kernel_id": "103002594"}, {"ref": "prathamesh268/meeting-notes-summarizer-action-item-agent", "kernel_id": "103083187"}, {"ref": "smorika/googleadk-price-calculation-agent-for-bakery-store", "kernel_id": "103121178"}, {"ref": "ardhimahesh/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103031222"}, {"ref": "reineitsuka/multi-agent-for-mental-health-solution", "kernel_id": "103234473"}, {"ref": "mansisrivastavams/greenguard-c-multi-agent-security-system", "kernel_id": "103074861"}, {"ref": "likhithusurupati/enterprise-incident-triage-agent", "kernel_id": "103001435"}, {"ref": "sagarrajput1412/research-agent-demo", "kernel_id": "103021771"}, {"ref": "ashishmanoj/ab-application-buddy-capstone-project", "kernel_id": "103072026"}, {"ref": "shathiskannan19/ai-driven-marketing-strategy-assistant-using-multi", "kernel_id": "103060038"}, {"ref": "zunorain/calender-agent", "kernel_id": "103002799"}, {"ref": "deepakantonyjn/myhealth-mentor-your-personal-health-guide", "kernel_id": "103035678"}, {"ref": "prathameshshirole/techscout-multi-agent-research-system", "kernel_id": "103017363"}, {"ref": "rosin9/the-bard-movie-maker", "kernel_id": "103096915"}, {"ref": "wenbinyeung/multi-agent-system-for-fraud-detection", "kernel_id": "103227060"}, {"ref": "olayiwolatheophilus/medical-research-agent-kaggle-competition", "kernel_id": "103090984"}, {"ref": "kavinkannan/tokenomics-token-incentivized-feedback-loop-tifl", "kernel_id": "103000944"}, {"ref": "nuzhatabassum/sheaware-ai-safety-health-help-in-one-ai", "kernel_id": "103049653"}, {"ref": "maheswarism/notebook2a7c1f887c", "kernel_id": "103088628"}, {"ref": "tatapudiramesh/studyai", "kernel_id": "103021095"}, {"ref": "sanjeevkumar78/infoshield-kaggle", "kernel_id": "103003629"}, {"ref": "drasuz/google-agent", "kernel_id": "103087989"}, {"ref": "salonikakasania/ai-multi-agent-system", "kernel_id": "103096996"}, {"ref": "brysongracias/enterprise-browser-automation", "kernel_id": "103089891"}, {"ref": "kharatsushma/medical-diagnosis-agent-capstone", "kernel_id": "103023411"}, {"ref": "tanyavert/calories-burned-agent", "kernel_id": "103232199"}, {"ref": "divyasrivastava18/aquasense-agenticai", "kernel_id": "103063095"}, {"ref": "shriharsh08/agents-intensive-capstone", "kernel_id": "103024176"}, {"ref": "hitheshvar/echobridge-v1", "kernel_id": "103056818"}, {"ref": "learnitalldoitall/g5dai-runner-agentic-intelligence", "kernel_id": "103089056"}, {"ref": "tanushreemehta/kaggle-capstone-tanushree-ashutosh-karina-v2", "kernel_id": "103016289"}, {"ref": "surekhaberlin/job-application-agent-capstone-project", "kernel_id": "103004601"}, {"ref": "generalkeshy/clinicalchain-healthcare-automation", "kernel_id": "103011033"}, {"ref": "palapol/cs-case-investigation-agent", "kernel_id": "103095804"}, {"ref": "ramitsingh13/sdlc-ai-agent", "kernel_id": "103064446"}, {"ref": "shivasaid4/capstone-project", "kernel_id": "103080221"}, {"ref": "lakhindarpal/compintel-competitive-intelligence-system", "kernel_id": "103093225"}, {"ref": "mindfultatiana/ecodevai", "kernel_id": "103093030"}, {"ref": "amankumarbatra3/business-analyst-ai-agent-based", "kernel_id": "103072214"}, {"ref": "sivaramp5/fine-print-assassin", "kernel_id": "103015051"}, {"ref": "surendar97/notebook65a391ac55", "kernel_id": "103249742"}, {"ref": "akshtachavan/capproject", "kernel_id": "103007553"}, {"ref": "mixmaster1234/ocr-agent-for-pdf", "kernel_id": "103059825"}, {"ref": "saiganeshvoodi/storyverse-autobiographical-ai-agent", "kernel_id": "103063792"}, {"ref": "truesherlock/notebook119f8d12d0", "kernel_id": "103060534"}, {"ref": "samikshasaithogeti/taskbreakeragent", "kernel_id": "103074556"}, {"ref": "bhavikamaini/glowguard-skincare-ingredient-checker-agent", "kernel_id": "103035558"}, {"ref": "nellydhakhwa1/5daic25-cp-sharey", "kernel_id": "103081947"}, {"ref": "subhashreerajagopal/aegis-autonomous-disaster-response-system", "kernel_id": "103072093"}, {"ref": "zacharymcollins/blog-plan-research-write-edit-publish", "kernel_id": "103077912"}, {"ref": "anirudhzalki/notebookb7e7a3e575", "kernel_id": "103176274"}, {"ref": "rageshthangaraj/multiagent-stock-analytics-system", "kernel_id": "103020665"}, {"ref": "vishalmd/ai-daily-planner-agent", "kernel_id": "103285070"}, {"ref": "amguru/lifepilot", "kernel_id": "103131559"}, {"ref": "naveenkumarsgowda/google-ai-agent-renewable-energy-research", "kernel_id": "103080728"}, {"ref": "anshshrivastava29/personal-task-planner-agent-capstone", "kernel_id": "103088426"}, {"ref": "pablolpezvaca/ecoauditagent-pablolopezvaca", "kernel_id": "103058367"}, {"ref": "ykamoji/onenote-manager-adk", "kernel_id": "103036244"}, {"ref": "quicksid/sql-agent-pipeline", "kernel_id": "103024057"}, {"ref": "jashmithas/personalized-nutrition-coach", "kernel_id": "103067504"}, {"ref": "sheejapon/df-tutor", "kernel_id": "103091190"}, {"ref": "vishalkumar2006/medicine-assistant-agents-intensive-capstone", "kernel_id": "103085985"}, {"ref": "parthravindralande/notebook730aa2347e", "kernel_id": "103297250"}, {"ref": "erichpromptperfect/adk-architect-agent-building-agent", "kernel_id": "103092406"}, {"ref": "necromaster/kaggle-x-google", "kernel_id": "103435324"}, {"ref": "krishnaprabhathperi/capstone-project-google-a", "kernel_id": "103090343"}, {"ref": "radoslavvolny/talk-2-talk", "kernel_id": "103088066"}, {"ref": "sayyedashif/behavior-nudge-coach-capstone", "kernel_id": "103286995"}, {"ref": "mannubaveja/dealsense-ai-kaggle", "kernel_id": "103088536"}, {"ref": "amitmishra4729/stratai-autonomous-market-intelligence-agent", "kernel_id": "103041501"}, {"ref": "srushtipillare/codycrew-agents-ai-capstone-project", "kernel_id": "103166407"}, {"ref": "victorgarcia777/resume-job-match-coach", "kernel_id": "103083693"}, {"ref": "niloydas19/quickresearch-ai", "kernel_id": "103034145"}, {"ref": "clintonbeyene/calisthenics-diet-planner", "kernel_id": "103254033"}, {"ref": "xiaoruixu0815/intelligent-enterprise-report-generation-system", "kernel_id": "103024097"}, {"ref": "kaukabfarrukh/notebook4ac48c7dca", "kernel_id": "103056950"}, {"ref": "yasincanyilmazoglu/audionomad-agent", "kernel_id": "103171756"}, {"ref": "hrudyasreechandaluri/self-healing-code-generator", "kernel_id": "103085912"}, {"ref": "hadimuhammed1997/codesecurityanalyzer-automated-security-review", "kernel_id": "103334542"}, {"ref": "sohamdipsantra/pharma-scout-agent", "kernel_id": "103089849"}, {"ref": "mohammedayaanadil/notebooke76b0bd44d", "kernel_id": "103047224"}, {"ref": "ashacmenon/habithive-lifeagent", "kernel_id": "103078028"}, {"ref": "justinsouto/fork-of-smart-meal-planner-grocery-concierge-age", "kernel_id": "103105430"}, {"ref": "miratunnahar2/eduaid", "kernel_id": "103300360"}, {"ref": "ashrafuldu/bmi-track-agent", "kernel_id": "103253705"}, {"ref": "darrennorth/token-tolkiens", "kernel_id": "103094929"}, {"ref": "krishsandhu/capstone-project", "kernel_id": "103090976"}, {"ref": "gbharathi18/her-cycle-truth-agent", "kernel_id": "103074046"}, {"ref": "haristyagi/genai-research-gap-finder-with-google-adk", "kernel_id": "103091910"}, {"ref": "tobin1dr/nvidia-blog-mcp-capstone", "kernel_id": "103312449"}, {"ref": "thuggilisaireddy/market-research", "kernel_id": "103097684"}, {"ref": "nafisakhan11/aircraft-maintenance-ai-agent", "kernel_id": "103305955"}, {"ref": "anshjaiswal101/ai-travel-planner-agent", "kernel_id": "103177532"}, {"ref": "lalithkumargoud/ai-research-assistant-agent", "kernel_id": "103073453"}, {"ref": "manideep3183/sherlock-ai-the-agentic-data-detective", "kernel_id": "103057316"}, {"ref": "nourhene1233/notebook3792c97fab", "kernel_id": "103095575"}, {"ref": "srikanthmathangi/bizflow-intelligent-customer-support-agent", "kernel_id": "103011735"}, {"ref": "srikdhruv/startup-job-search-assistant", "kernel_id": "103095578"}, {"ref": "ksaikrishna95/capstone-project-117", "kernel_id": "103095729"}, {"ref": "simranmhtaa/notebookcce74419ac", "kernel_id": "103034248"}, {"ref": "sarveshpat/fsaenginecapstone", "kernel_id": "103020352"}, {"ref": "sarveshpat/fsaengine", "kernel_id": "103000534"}, {"ref": "vaibhavlbandgar/humanresource-automation-agent", "kernel_id": "103094870"}, {"ref": "ramadeepthibadireddy/skin-hair-diagnosis-ai-agent", "kernel_id": "103267924"}, {"ref": "ltf101/m2taksa", "kernel_id": "103267507"}, {"ref": "debanjan4119/automated-blog-writer-agent", "kernel_id": "103052100"}, {"ref": "sandhyamandlik/capstone-project", "kernel_id": "103435407"}, {"ref": "goud07/healthcare-chatbot-agent", "kernel_id": "103092094"}, {"ref": "athanasiosliakouras/omnisub-capstone-project", "kernel_id": "103000855"}, {"ref": "soumyadeepsaha999/google-soumyadeep-capstone-project", "kernel_id": "103390026"}, {"ref": "drdebabratamondal/ayurbot-an-ayurvedic-wellness-agent", "kernel_id": "103013629"}, {"ref": "herebecode/intellifit-agentic-trainer-concierge", "kernel_id": "103065591"}, {"ref": "vizuuu/kai-relationship-guide", "kernel_id": "103097408"}, {"ref": "sidkonka/orbit-the-autonomous-family-chief-of-staff", "kernel_id": "103010305"}, {"ref": "akhilsingh106/agent-1", "kernel_id": "103124549"}, {"ref": "yashverma1608/studybuddy-kaggle", "kernel_id": "103097806"}, {"ref": "manojkumarthapa/mindcompass-mental-health-multi-agent", "kernel_id": "103078469"}, {"ref": "noushinmirnezami/lab-test-explanation-agent-capstone", "kernel_id": "103098129"}, {"ref": "mahimamannava123/insightbot-multi-agent-research-summarization", "kernel_id": "103007546"}, {"ref": "afzalhossainhridoy/globeease-travel-agent", "kernel_id": "103022841"}, {"ref": "ansar33/final-part-climate-health-risk-intelligence-agen", "kernel_id": "103311856"}, {"ref": "ansar33/part-2-climate-health-risk-intelligence-agent", "kernel_id": "103311332"}, {"ref": "edwardyuen2/devotion-companion-notebook", "kernel_id": "103014765"}, {"ref": "john5568/village", "kernel_id": "103059404"}, {"ref": "vijayashantim/capstone-agentic-ai", "kernel_id": "103027328"}, {"ref": "tanvivi/nutrigenie-meal-planner-agent", "kernel_id": "103070300"}, {"ref": "arnavs1231/guardianai-multiagent-crisis-response-system", "kernel_id": "103043362"}, {"ref": "harshita2024/studymate-ai-agent", "kernel_id": "103304239"}, {"ref": "ijmglz/ai-driven-inventory-procurement-strategist", "kernel_id": "103080055"}, {"ref": "digivam/smart-money-agent-8ca8f2", "kernel_id": "103099108"}, {"ref": "balaji190605/intelligent-train-route-and-schedule-optimizer", "kernel_id": "103095119"}, {"ref": "devikac2005/edubuddy-ai", "kernel_id": "103094745"}, {"ref": "harshikasingh97/examguard-the-on-demand-paper-generator", "kernel_id": "103061001"}, {"ref": "ishnayirp/fitlife-coach-multiagent-recommendation-system", "kernel_id": "103055803"}, {"ref": "vaibhavsharma6017/luciddreampro4", "kernel_id": "103083541"}, {"ref": "harishanhari/harsha-capstone-project", "kernel_id": "103250359"}, {"ref": "arpit332/smart-study-agent", "kernel_id": "103091286"}, {"ref": "rohitbhanose/notebooke7858ebe27", "kernel_id": "103193360"}, {"ref": "yashaswinibyr/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103295279"}, {"ref": "ksriharshavardhini/intelligent-travel-concierge-agent", "kernel_id": "103089641"}, {"ref": "tanvirhossain546/notebookac666316f8", "kernel_id": "103021439"}, {"ref": "marydp/capstone-final", "kernel_id": "103093850"}, {"ref": "harishramgandhiram/enterprise-customer-service-agent", "kernel_id": "103089992"}, {"ref": "mrmuhammadyasinkhan/google-events-geothermal-energy-conceirge", "kernel_id": "103031024"}, {"ref": "mysterymindz/simple-daily-task-concierge-agent", "kernel_id": "103084083"}, {"ref": "ashsingh16/maffa-multi-agent-financial-fraud-assistant", "kernel_id": "103001612"}, {"ref": "theshikhardwivedi/sentinel-autonomous-disaster-response-coordinator", "kernel_id": "103005040"}, {"ref": "likithaap/notebook0e21aa2908", "kernel_id": "103092848"}, {"ref": "garfeen/ai-career-coach", "kernel_id": "103098821"}, {"ref": "garfeen/agentic-ai-career-coach-capstoneproject", "kernel_id": "103309930"}, {"ref": "orlandobenedict/enrichment-explorer-agents-capstone", "kernel_id": "103092752"}, {"ref": "ravikirankadaboina/fish-care-agent", "kernel_id": "103086155"}, {"ref": "annamalaimuthiah3/tripgenie-backup-1", "kernel_id": "103295500"}, {"ref": "kiranrme31/capstoneproject-morning-rounds-up", "kernel_id": "103014110"}, {"ref": "neeharikaadavikolanu/automated-recipe-curator-agent", "kernel_id": "103122477"}, {"ref": "diyavinod1/notebook3ea137074b", "kernel_id": "103052966"}, {"ref": "mnnazza/stepcom", "kernel_id": "103090492"}, {"ref": "vaishnorajput/smarty22", "kernel_id": "103012571"}, {"ref": "vaishnorajput/smily22", "kernel_id": "103013154"}, {"ref": "vaishnorajput/environmental-policy-impact-agent-system", "kernel_id": "103011006"}, {"ref": "vaishnorajput/agents11", "kernel_id": "103010502"}, {"ref": "andrewchungau/travelwise-ai-a-personalized-trip-planner", "kernel_id": "103119522"}, {"ref": "sabasiddiquedev/emergency-care-navigator-agent", "kernel_id": "103147446"}, {"ref": "minimalisticagent/educoach", "kernel_id": "103092716"}, {"ref": "beacreator/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103012768"}, {"ref": "mdhasibuzzamansarker/voltguard", "kernel_id": "103089575"}, {"ref": "ashiksoosai/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103002109"}, {"ref": "sistukumarswamy/fork-of-mindmatrix-ai-agent-competition-assistan", "kernel_id": "103324459"}, {"ref": "satyamsuri/smart-travel-planner-capstone-project", "kernel_id": "103011553"}, {"ref": "tusher1612/my-ai-agent", "kernel_id": "103092842"}, {"ref": "madalaakashkumar/student-study-buddy-agent-with-memory", "kernel_id": "103074143"}, {"ref": "priyankamadala/smart-meal-planner-agent-with-memory", "kernel_id": "103063233"}, {"ref": "aamsayem/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103136670"}, {"ref": "pendyalaudaykranth/no-filter-progress-tracker-ai-agent", "kernel_id": "103085911"}, {"ref": "mqingcs/veritas-autonomous-multi-agent-truth-engine", "kernel_id": "103051548"}, {"ref": "vijeta1/ecorescue-ai-wildlife-safety-and-awareness-agent", "kernel_id": "103065662"}, {"ref": "vijeta1/ecorescue-ai", "kernel_id": "103222380"}, {"ref": "deepaklokhande/travelplanpro-destination-airbnb-stay-1", "kernel_id": "103099963"}, {"ref": "jandhyalagayatri/nutrimind-ai", "kernel_id": "103040972"}, {"ref": "amanghanshala/edith-mini", "kernel_id": "103216945"}, {"ref": "priyankaaa7788/uni-concierge-ai", "kernel_id": "103082392"}, {"ref": "asyabrs/multi-agent-system-for-ml-researchers", "kernel_id": "103074716"}, {"ref": "san1357/bowsensei-an-ai-archery-coach-by-aayush-gupta", "kernel_id": "103061737"}, {"ref": "mdfarhanakhter/google-capstone-project", "kernel_id": "103021248"}, {"ref": "mprodduturi/entry-gateways", "kernel_id": "103089869"}, {"ref": "ashokeghosh/costomer-agent-2", "kernel_id": "103033615"}, {"ref": "ashokeghosh/coustomar-agent", "kernel_id": "103025028"}, {"ref": "abinaya81/productive-manager-notebook", "kernel_id": "103025906"}, {"ref": "manoharamukunda/sanskrit-verbs-book-publisher", "kernel_id": "103066427"}, {"ref": "missionadak/autoinsight-notebook-code", "kernel_id": "103095307"}, {"ref": "pragyajhatm/autodidact-curriculum-concierge-agent", "kernel_id": "103061469"}, {"ref": "v7huxd/design-portfolio-reviewer", "kernel_id": "103082914"}, {"ref": "yohannagiron/capstone-infinite-quest-engine", "kernel_id": "103003712"}, {"ref": "darshanaiml/personal-fitness-meal-planner-agent", "kernel_id": "103096003"}, {"ref": "sahasrakshakatukuri/pathmate", "kernel_id": "103011627"}, {"ref": "kevinrajv/customer-agent-ai", "kernel_id": "103058591"}, {"ref": "nilakshprajapati/notebookffa14aaf33", "kernel_id": "103333473"}, {"ref": "devikrishna27/notebook2cde2c625a", "kernel_id": "103062498"}, {"ref": "adityasinghrampal/learnpath", "kernel_id": "103029098"}, {"ref": "kumararyan567/notebook29eaa8666a", "kernel_id": "103085901"}, {"ref": "rahulsawant22/ai-interview-agent", "kernel_id": "103047276"}, {"ref": "sanjayjegadesan/notebook45bbdf5fea", "kernel_id": "103030854"}, {"ref": "lakshaygupta75/creatorcopilot", "kernel_id": "103090655"}, {"ref": "jaiishreeee088/habitflow-ai-end-to-end-habit-tracking-data-vis", "kernel_id": "103064324"}, {"ref": "ansh1646/ai-workflow-coach", "kernel_id": "103089927"}, {"ref": "rafaelsilvadomingues/capstone-project-multi-agent-trip-planner", "kernel_id": "103014623"}, {"ref": "dineshbeerakam/lifepilot-ai-agents-capstone", "kernel_id": "103011880"}, {"ref": "dineshkumar995/matrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103023847"}, {"ref": "manjunathhajerib/smart-compliance-agent-code", "kernel_id": "103055883"}, {"ref": "ganeshkanaki333/cricsense-ai-agent", "kernel_id": "103095487"}, {"ref": "ajaypreetsingh/agentshield-terminal-titans", "kernel_id": "103090669"}, {"ref": "arpitahati/reliefbot-disaster-relief-information-assistant", "kernel_id": "103031407"}, {"ref": "bhavesh622/agent-capstone-project-glucoguard", "kernel_id": "103076717"}, {"ref": "tefandonos/capstone-project-data-preprocessing-agent", "kernel_id": "103101698"}, {"ref": "kylaashg/agent-smart", "kernel_id": "103019661"}, {"ref": "sagallangde/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103080412"}, {"ref": "vishnuchandrasekaran/notebookb0317077e6", "kernel_id": "103088533"}, {"ref": "atharvamanjarekar/vira-1", "kernel_id": "103078351"}, {"ref": "aamanisuvarna/mindshift-agent", "kernel_id": "103074747"}, {"ref": "agarwalvidushi/debater", "kernel_id": "103091362"}, {"ref": "mooseanbee/nightingale-nexus", "kernel_id": "103056052"}, {"ref": "anisjoeldevadoss/ai-agent-for-automating-everyday-micro-tasks", "kernel_id": "103092402"}, {"ref": "genesystechie/mycancerhelper", "kernel_id": "103003477"}, {"ref": "prishaaguptaa/notebookeedaaa7215", "kernel_id": "103089392"}, {"ref": "keerthana179/budget-expense-concierge-agent-captone-project", "kernel_id": "103054134"}, {"ref": "karanchoudhary09/movie-recommendation-system-works", "kernel_id": "103070885"}, {"ref": "luckyjawa/smartdoc-analyst", "kernel_id": "103136957"}, {"ref": "somdipganguly/telecom-recharge-agent-capstone", "kernel_id": "103072454"}, {"ref": "shyamyadav23/customer-agent", "kernel_id": "103081371"}, {"ref": "san10thosh/clarity-agent", "kernel_id": "103080236"}, {"ref": "meghananangunoori21/notebookf731b1a071", "kernel_id": "103069613"}, {"ref": "mohitsatya6088/task-scheduler-agent-ipynb", "kernel_id": "103016236"}, {"ref": "jk10122004/notebooke0bc44704e", "kernel_id": "103079022"}, {"ref": "boomikabalamurugan/notebook521b0ba010", "kernel_id": "103049695"}, {"ref": "shra08/iia-by-sp", "kernel_id": "103071504"}, {"ref": "enoshroy/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103086857"}, {"ref": "jinplomat/noonchi-coach-korean-tone-concierge-agent", "kernel_id": "103087883"}, {"ref": "chaspl/the-corporate-blogger", "kernel_id": "103003239"}, {"ref": "brunosantos111/recruterai-agents-intensive-capstone-project", "kernel_id": "103023467"}, {"ref": "alfredthesudoer/ecorescue-ai-wildlife-safety-and-awareness-agent", "kernel_id": "103128406"}, {"ref": "girishnambiar/ai-powered-auto-diabetic-retinopathy-diagnosis", "kernel_id": "103047744"}, {"ref": "avni1213/travel-concierge-agent", "kernel_id": "103061526"}, {"ref": "vashkraj/end-to-end-project-documentation-generator", "kernel_id": "103085235"}, {"ref": "adityakr11/ghost-mode-navigator", "kernel_id": "103038346"}, {"ref": "engrekomobongcletus/the-autonomous-tier-1-network-incident-responder", "kernel_id": "103000486"}, {"ref": "amazingaaryan3/movie-recommender-final", "kernel_id": "103007439"}, {"ref": "vahidforoughi/notebook056b994810", "kernel_id": "103088790"}, {"ref": "shivasprakash/disaster-shield-emergency-resource-allocator", "kernel_id": "103003500"}, {"ref": "shawnshens/ai-powered-lifelong-healthcare-assistant", "kernel_id": "103079082"}, {"ref": "saranshjohri/researchshastra", "kernel_id": "103058464"}, {"ref": "hidayathullahs/notebooka68a7a8756", "kernel_id": "103091056"}, {"ref": "mateoaldana/lifebrief-ai-agent-capstone", "kernel_id": "103119478"}, {"ref": "ravishankargupta2612/ai-agent-for-capital-market", "kernel_id": "103166709"}, {"ref": "swatimohitepawar/layered-light-swatimp-art-a-journey-through-3d-ac", "kernel_id": "103045141"}, {"ref": "mahfuzurrahman5555/customer-agent-for-capstone-project", "kernel_id": "103021208"}, {"ref": "narendransuthahar/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103087973"}, {"ref": "spoorthipullal/culinex", "kernel_id": "103016618"}, {"ref": "ashishsaini7777/multi-agent-sku-normalization-with-gemini", "kernel_id": "103082342"}, {"ref": "ahanasethulekshmi/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103149773"}, {"ref": "roge29/employee-burnout-prevention-agent", "kernel_id": "103232833"}, {"ref": "fangonews/notebook6fa63d1d58", "kernel_id": "103073457"}, {"ref": "praisyyy/smartbite-final", "kernel_id": "103091885"}, {"ref": "shvetasrivastava/capstone-concierge-agent-demo-shveta-hjs-dj", "kernel_id": "103005998"}, {"ref": "dharanikumarrn/notebook0f06974ded", "kernel_id": "103236668"}, {"ref": "somyapatidar06/concierge-agent-travel-planner", "kernel_id": "103052779"}, {"ref": "soumyapswain/projectnotebook00", "kernel_id": "103081218"}, {"ref": "harishkumar17092006/synapse-the-second-brain-agent", "kernel_id": "103091037"}, {"ref": "default01akash/akash-fingraph", "kernel_id": "103032071"}, {"ref": "iitmronit/customer-support-agent", "kernel_id": "103061939"}, {"ref": "nancykumariverma/customer-agent", "kernel_id": "103053200"}, {"ref": "diksharawat1/notebook5b3f80cbfa", "kernel_id": "103082363"}, {"ref": "yagbre/agentic-job-search-recommender", "kernel_id": "103002437"}, {"ref": "vigneshselvaraj2512/scholar-guardian-multi-agent-study-coach-for-stru", "kernel_id": "103071936"}, {"ref": "vinodkumarda/notebookcb98481f30", "kernel_id": "103252868"}, {"ref": "bhaveshgudlani/krishi-mitra", "kernel_id": "103091023"}, {"ref": "deele9700/finance-expert-agent", "kernel_id": "103023395"}, {"ref": "akshaydomnekar/head-hunter-1", "kernel_id": "103092041"}, {"ref": "ashwithaummalla/smart-chef-ai", "kernel_id": "103049287"}, {"ref": "lokeshmaravi/diabetes-prediction", "kernel_id": "103208366"}, {"ref": "prasantojha/meal-planning-ai", "kernel_id": "103078945"}, {"ref": "tacumihai/capstone-projet-2025-fleetguardian-enterprise", "kernel_id": "103074768"}, {"ref": "aakarun/aurora-ai-capstone", "kernel_id": "103004581"}, {"ref": "bholadev58/multi-agent-ai-devil-s-advocate-decision-system", "kernel_id": "103070196"}, {"ref": "umamafakher/capstone-project-archie-by-umama-fakher", "kernel_id": "103017738"}, {"ref": "shabarigirishmeela/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103075844"}, {"ref": "virakshi07/smart-shopping-list-organizer", "kernel_id": "103044927"}, {"ref": "doradharshini2003/product-catalog-sanity-checker-agent", "kernel_id": "103078440"}, {"ref": "sayandasbhalochele/customer-agent", "kernel_id": "103073440"}, {"ref": "injamtanvir/cv-prepare", "kernel_id": "103071281"}, {"ref": "asthasukhadiya/ai-medication-reminder-agent", "kernel_id": "103001307"}, {"ref": "thavasiandavar/ai-coach", "kernel_id": "103094046"}, {"ref": "ashishsharma1312006/notebooked7da804fb", "kernel_id": "103093506"}, {"ref": "divyajain13/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103056859"}, {"ref": "anuragg007/notebookd57e5e6234", "kernel_id": "103087759"}, {"ref": "gagankranthi/dsa-question-generator-agent", "kernel_id": "103037414"}, {"ref": "irkanalfaraji/using-loop-agent-in-your-project-check-this", "kernel_id": "103122692"}, {"ref": "jalakruthik/carenavigator", "kernel_id": "103084190"}, {"ref": "taranpreetkaur1804/ugc-one-creator", "kernel_id": "103061891"}, {"ref": "sanjaym25/ai-travel-planner-agent", "kernel_id": "103023381"}, {"ref": "thirupathiyaswanth/cretiveflow-ai-dynamic-idea-witing-assistant", "kernel_id": "103091399"}, {"ref": "eaaadithkumar/prognosio", "kernel_id": "103072196"}, {"ref": "bhavikav/community-mental-health-companion", "kernel_id": "103082328"}, {"ref": "kiruthikara/educoach-personalized-ai-tutor", "kernel_id": "103033451"}, {"ref": "iamaheshjagtap/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103034318"}, {"ref": "sudhapalli/olfitbuddy-multi-agent-health-fitness-assistant", "kernel_id": "103094418"}, {"ref": "shardulrahultangade/mindmatrix-ai-agent-kaggle-competition-as-e37562", "kernel_id": "103083806"}, {"ref": "gopalreddyguraka/adaptive-multiagent-workflow-orchestrator", "kernel_id": "103175086"}, {"ref": "tachyvani/personalized-ai-doppelganger", "kernel_id": "103141235"}, {"ref": "mostafaelias12/nexus-ai-order-support-agent", "kernel_id": "103085799"}, {"ref": "mee993/ai-therapist-for-teenager", "kernel_id": "103093356"}, {"ref": "ameeshapoojary/financeguides-ai", "kernel_id": "103088044"}, {"ref": "mohitgupta777/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103094760"}, {"ref": "amanai88/notebook8e3dd6cb2c", "kernel_id": "103096479"}, {"ref": "shubhamraikwar142/project-astra", "kernel_id": "103056583"}, {"ref": "kungatsepak/ai-mental-health-triage-companion", "kernel_id": "103065238"}, {"ref": "abhinavgarg25/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103098263"}, {"ref": "karthik22s/multi-agent-csa", "kernel_id": "103096156"}, {"ref": "vharsha/multi-agent-ai-the-picky-eater-protocol", "kernel_id": "103241639"}, {"ref": "ritishasrivastava/mindmatrix-ai-agent-kaggle-competition-assistant", "kernel_id": "103030219"}, {"ref": "monishanbalagan/daily-productivity-assistant-ai-powered-personal", "kernel_id": "103078428"}, {"ref": "ajaysrirammb/capstone-project-code", "kernel_id": "103151236"}, {"ref": "evanwiley/phantom-trace", "kernel_id": "103023967"}, {"ref": "minalg11/intelligent-automated-course-contentgeneratoragen", "kernel_id": "103297276"}, {"ref": "paramitah/synap", "kernel_id": "103075219"}, {"ref": "manishkumarsingh0176/notebookd15c008b4d", "kernel_id": "103022071"}, {"ref": "hemashree20061/notebookdb2bb8346a", "kernel_id": "103087961"}, {"ref": "krishnakeerthana2004/ai-smart-meeting-schedule-agent-capstone-project", "kernel_id": "103069126"}, {"ref": "elieguard/travel-planner", "kernel_id": "103293054"}, {"ref": "arpitamajumder09/arpita-majumder", "kernel_id": "103174581"}, {"ref": "sarahnourimottaghi/ielts-writing-coach-app", "kernel_id": "104886650"}, {"ref": "animesh2411/life-decision-simulator-agent", "kernel_id": "105158042"}, {"ref": "juliasuzuki/notion-single-ai-agent", "kernel_id": "105720209"}, {"ref": "kathimunishwar/life-decision-simulator-agent", "kernel_id": "105202698"}, {"ref": "arvindchoudhary27/capstone", "kernel_id": "105386395"}, {"ref": "sridharkrishnasamy23/travels-guide", "kernel_id": "105125498"}, {"ref": "gopikamullachery/notebook3e20a44c03", "kernel_id": "105373952"}, {"ref": "mahimaaravamudhan/billshield-financial-agent", "kernel_id": "106342042"}, {"ref": "amit8218/ai-agents", "kernel_id": "106090537"}, {"ref": "visnu90/transation-agent", "kernel_id": "106566090"}, {"ref": "selmanyberg/trustworthy-coding-course-project", "kernel_id": "107080245"}, {"ref": "nazmussakibshohan/notion-ai-agent", "kernel_id": "107631020"}, {"ref": "gopikrishnagajam/ghostwriter", "kernel_id": "107544919"}, {"ref": "vignesh070706/proactive-productivity-partner", "kernel_id": "110211780"}, {"ref": "vignesh070706/notebookb41c799333", "kernel_id": "110209639"}, {"ref": "kkrishnapranav28/ai-travel-planner-build-and-visualize-your-c6b707", "kernel_id": "113184148"}, {"ref": "shubhamraikwar142/fork-of-project-astra", "kernel_id": "116135605"}, {"ref": "ladojha/notebook9f1031cdf7", "kernel_id": "123770241"}, {"ref": "zouhairstitou/price-discovery-agent", "kernel_id": "126049958"}, {"ref": "zouhairstitou/price-discovery-agent-prompts", "kernel_id": "126051128"}]}
{"competition_id": "121149", "kernels": []}
{"competition_id": "121150", "kernels": [{"ref": "adrienthomas/the-antichrist", "kernel_id": "101352195"}, {"ref": "seshurajup/akkadian-translate-lightning-cv-32-00-train", "kernel_id": "104784766"}, {"ref": "seshurajup/akkadian-translate-lightning-cv-32-00-infer", "kernel_id": "104824052"}, {"ref": "gpreda/akkadian-for-accountants", "kernel_id": "104774286"}, {"ref": "mohsak/starter", "kernel_id": "104904456"}, {"ref": "takamichitoda/dpc-starter-train", "kernel_id": "104776972"}, {"ref": "kageyama/starter-t5-base-nmt-baseline", "kernel_id": "104776167"}, {"ref": "kageyama/starter-t5-base-nmt-baseline-infer", "kernel_id": "104826399"}, {"ref": "kageyama/akkadian-language-modeling-continued-pre-training", "kernel_id": "104846781"}, {"ref": "dellalkhaled/hi-a-ur", "kernel_id": "104778446"}, {"ref": "stpeteishii/tae-inference-submission-baseline", "kernel_id": "104936831"}, {"ref": "stpeteishii/tae-training-model-creation-baseline", "kernel_id": "104934705"}, {"ref": "mpwolke/akkadian-by-the-river-of-babylon", "kernel_id": "104683004"}, {"ref": "dedquoc/dpc-ta2e-quick-analytic-eda-v2", "kernel_id": "104739477"}, {"ref": "parsahriri/gpt4akkadian", "kernel_id": "104871848"}, {"ref": "assiaben/hybrid-akkadian-translation", "kernel_id": "104989630"}, {"ref": "franciscawich/akkadian-to-english-v1", "kernel_id": "104981119"}, {"ref": "hanifnoerrofiq/machine-translation-starter-notebook", "kernel_id": "104710036"}, {"ref": "prajwaldongre/this-eda-will-change-your-mt-baseline", "kernel_id": "104766606"}, {"ref": "kakuteki/deep-past-baseline", "kernel_id": "104728504"}, {"ref": "kakuteki/dpc-byt5-inference", "kernel_id": "104909398"}, {"ref": "sohakabir/deep-past-submission-v2", "kernel_id": "104834182"}, {"ref": "certifiedsurvey/deep-past-mbart50-baseline", "kernel_id": "104752712"}, {"ref": "leiwong/dps-baseline-extended-dataset", "kernel_id": "104833806"}, {"ref": "leiwong/deep-past-challenge-eda-extended-dataset", "kernel_id": "104833537"}, {"ref": "loopassembly/akkadian-translation-v1", "kernel_id": "104993876"}, {"ref": "erguntiryaki/deeppast-character-level-translation-from-scratc", "kernel_id": "104773805"}, {"ref": "erguntiryaki/deeppast-eda", "kernel_id": "104681119"}, {"ref": "kayamui/starter-baseline-with-google-mt5-small", "kernel_id": "104809911"}, {"ref": "muhfaizan001/infer-t5-pretrained-model", "kernel_id": "104916475"}, {"ref": "manish756/marianmt-transformers", "kernel_id": "104951801"}, {"ref": "ajabkhan21/notebookbaf9495efb", "kernel_id": "104787090"}, {"ref": "ajabkhan21/notebook81c0f7c825", "kernel_id": "104795191"}, {"ref": "ajabkhan21/notebookdd8e537597", "kernel_id": "104792755"}, {"ref": "ajabkhan21/notebookbea72494bc", "kernel_id": "104988107"}, {"ref": "ajabkhan21/notebook971ef45eeb", "kernel_id": "104993708"}, {"ref": "jackcerion/tr-try", "kernel_id": "104740589"}, {"ref": "jackcerion/byt5-seq2seq-train", "kernel_id": "104844366"}, {"ref": "jackcerion/byt5-seq2seq-try", "kernel_id": "104836815"}, {"ref": "arnavsuiiiiiiiiiiii/old-is-gold", "kernel_id": "104741593"}, {"ref": "iampratyusht/notebookb5d70204de", "kernel_id": "104797015"}, {"ref": "qifeihhh666/dpc-starter-train", "kernel_id": "104889264"}, {"ref": "qifeihhh666/dpc-starter-infer-add-sentencealign", "kernel_id": "104880754"}, {"ref": "qifeihhh666/deeppast-byt5-sentencealign-baseline", "kernel_id": "104787979"}, {"ref": "nensipansuriya1311/deep-past-challenge-akkadian-translation", "kernel_id": "104743105"}, {"ref": "chandudoddi/the-challenge-akkadian-to-english", "kernel_id": "104760978"}, {"ref": "djamilabenchikh/deeppast-byt5-sentencealign-baseline", "kernel_id": "104735319"}, {"ref": "djamilabenchikh/eda-baseline-diagnostics", "kernel_id": "104926139"}, {"ref": "amritanshukush/deeppast-akkadian-english-marianmt", "kernel_id": "104834706"}, {"ref": "trnhquangminh140/deeppastchallenge-translate-akkadian-to-english-2", "kernel_id": "104784597"}, {"ref": "vrushant12345/translate-akkadian-to-eng", "kernel_id": "104829282"}, {"ref": "hmnshudhmn24/deep-past-challenge-translate-akkadian-to-english", "kernel_id": "104936905"}, {"ref": "manwithacat/akkadian-t5-best-inference", "kernel_id": "104915772"}, {"ref": "manwithacat/akkadian-t5-train-enriched-v2-stable", "kernel_id": "104913593"}, {"ref": "manwithacat/nllb-akkadian-inference", "kernel_id": "104985875"}, {"ref": "ezekieloluyale/deep-past-nllb-retrieval-hybrid", "kernel_id": "104980190"}, {"ref": "activitiesformywork/akkadian", "kernel_id": "104723151"}, {"ref": "mvijay799767/my-neural-machine-translation-assyrian-to-english", "kernel_id": "104760164"}, {"ref": "bilaljunaidjiwani/notebookea0389dee7", "kernel_id": "104750760"}, {"ref": "riti0208/deep-past-mt5-v8", "kernel_id": "104861706"}, {"ref": "riti0208/deep-past-mt5-inference", "kernel_id": "104868107"}, {"ref": "riti0208/deep-past-mt5-base", "kernel_id": "104872451"}, {"ref": "riti0208/deep-past-nllb-200", "kernel_id": "104872475"}, {"ref": "chenybit/genesis-protocol", "kernel_id": "104977128"}, {"ref": "shams1/deep-past", "kernel_id": "105961390"}, {"ref": "takamichitoda/dpc-infer-with-post-processing-by-llm", "kernel_id": "105187139"}, {"ref": "sayedathar11/deep-past-challenge-byt5-base-training-v2", "kernel_id": "105019202"}, {"ref": "sayedathar11/akkadian-submit-v2-29-1", "kernel_id": "105695129"}, {"ref": "angantyr/deep-past-2025-1st-word-in-sentence-idx-analysis", "kernel_id": "105907769"}, {"ref": "jazivxt/high-priestess-akkadian-to-english", "kernel_id": "105365848"}, {"ref": "hemanthchintu/akkadian-to-english", "kernel_id": "105900462"}, {"ref": "parsahriri/bytepairencoding-baseline", "kernel_id": "105082794"}, {"ref": "parsahriri/llm-byt5-end2end-finerune", "kernel_id": "105125383"}, {"ref": "ayaanmustafa/akkadiantranslation", "kernel_id": "105063169"}, {"ref": "briankipyegonngulolu/deep-past-bn-it-i", "kernel_id": "105531541"}, {"ref": "gpch2159/akkadian-data-processing", "kernel_id": "105896053"}, {"ref": "hanifnoerrofiq/dpc-byt5-base-flan-t5-base", "kernel_id": "105061186"}, {"ref": "saouza007/try-qwen3-4b-for-akkadian", "kernel_id": "105324940"}, {"ref": "seraquevence/weird-translation-or-transliteration", "kernel_id": "105298295"}, {"ref": "likithagedipudi/t5-akkadian-translation-model", "kernel_id": "105029902"}, {"ref": "marylka/hello-akkadian-baseline-with-pytorch", "kernel_id": "105050933"}, {"ref": "abigaledong/deeppastchallengenotebook2", "kernel_id": "105794437"}, {"ref": "akkmit/allcaps", "kernel_id": "105115186"}, {"ref": "ajabkhan21/notebookfb67f5f44c", "kernel_id": "105000441"}, {"ref": "artemgoncarov/lb-28-1-dpc-byt5-large-inference", "kernel_id": "105035000"}, {"ref": "adegbaju/akkadian-to-english-translation", "kernel_id": "105961040"}, {"ref": "xiaoleilian/deep-past-sft-gemma3-training", "kernel_id": "105955841"}, {"ref": "jackcerion/byt5-seq2seq-infer", "kernel_id": "105187263"}, {"ref": "rohanrk1813/translator-comp-0-30", "kernel_id": "105151951"}, {"ref": "comistrymo/deep-past-challenge-byt5-base-training", "kernel_id": "105211857"}, {"ref": "comistrymo/deep-past-challenge-byt5-base-inference", "kernel_id": "105206268"}, {"ref": "koushikkumardinda/deep-past-challenge-translate-akkadian-to-englis", "kernel_id": "105540659"}, {"ref": "jeanjean111/akkadian-submit-v2-29-1", "kernel_id": "105129784"}, {"ref": "qifeihhh666/deep-past-challenge-byt5-base-training", "kernel_id": "105003278"}, {"ref": "qifeihhh666/deep-past-challenge-byt5-base-inference", "kernel_id": "105010256"}, {"ref": "divabhattacharya/detailed-eda-analysis", "kernel_id": "105898403"}, {"ref": "haradibots/see-this", "kernel_id": "105460986"}, {"ref": "ahmed1harfoush/translate-akkadian-to-english", "kernel_id": "105695744"}, {"ref": "naileafalcon/project-kanish-a", "kernel_id": "105353868"}, {"ref": "alperenaslann/deep-past-challenge-byt5-base-inference", "kernel_id": "105108234"}, {"ref": "amritanshukush/deep-past-byt5", "kernel_id": "105716553"}, {"ref": "amritanshukush/deep-past-blend", "kernel_id": "105514008"}, {"ref": "toni0710/dpc-inference", "kernel_id": "105660535"}, {"ref": "omnillos/dpc-notebook-baseline", "kernel_id": "105241447"}, {"ref": "z1mzhhhh/deeppast-submitting", "kernel_id": "105311701"}, {"ref": "mitudru/deep-past-challenge", "kernel_id": "105244100"}, {"ref": "adarsh2626/full-model-making-datacleaning-training-inference", "kernel_id": "105066432"}, {"ref": "williambarr37/notebookef686c0a8b", "kernel_id": "105092439"}, {"ref": "onyekachichibuko/notebook39013818fa", "kernel_id": "105439939"}, {"ref": "zorornoa/deep-past-challenge", "kernel_id": "105711111"}, {"ref": "sadrakoocheckzadeh/deep-past-challenge-translation", "kernel_id": "105042195"}, {"ref": "manwithacat/nllb-600m-akkadian-training", "kernel_id": "105148963"}, {"ref": "manwithacat/byt5-akkadian-combined-v1-0-5", "kernel_id": "105340140"}, {"ref": "manwithacat/byt5-akkadian-combined-v1-0-9", "kernel_id": "105367554"}, {"ref": "manwithacat/byt5-akkadian-combined-v1-0-7", "kernel_id": "105359024"}, {"ref": "manwithacat/byt5-akkadian-combined-v1-0-8", "kernel_id": "105359419"}, {"ref": "manwithacat/byt5-akkadian-combined-v1-0-0", "kernel_id": "105337538"}, {"ref": "manwithacat/byt5-akkadian-combined-v1-0-2", "kernel_id": "105338916"}, {"ref": "manwithacat/byt5-akkadian-combined-v1-0-1", "kernel_id": "105338632"}, {"ref": "manwithacat/byt5-akkadian-combined-v1-0-3", "kernel_id": "105339686"}, {"ref": "manwithacat/byt5-akkadian-combined-v1-0-4", "kernel_id": "105339946"}, {"ref": "wolframbopp/assyrian-diamond-shield-submission", "kernel_id": "105783160"}, {"ref": "wolframbopp/assyrian-diamond-shield-notebook", "kernel_id": "105784180"}, {"ref": "teruzuki061/akkadian-data-processing-updated-for-translations", "kernel_id": "105867981"}, {"ref": "vkgoverdhan/notebookb7d372d1d5", "kernel_id": "105478368"}, {"ref": "abdulwahab2321/deep-past-challenge", "kernel_id": "105974315"}, {"ref": "aakashkumarsingh3690/byt5-small-translation", "kernel_id": "105899653"}, {"ref": "montasirmahamud/ancient-akkadian-translation-v1", "kernel_id": "105192831"}, {"ref": "mvijay799767/advanced-dpc-infer-with-post-processing-by-llm", "kernel_id": "105307605"}, {"ref": "godkun/akkadian-to-english-godkun", "kernel_id": "105109734"}, {"ref": "riti0208/deep-past-nllb-200-sentencealign", "kernel_id": "105064719"}, {"ref": "riti0208/deep-past-byt5-sentencealign", "kernel_id": "105064722"}, {"ref": "riti0208/deep-past-nllb-200-v2", "kernel_id": "105108822"}, {"ref": "riti0208/deep-past-nllb-200-v3", "kernel_id": "105119112"}, {"ref": "riti0208/deep-past-byt5-v2", "kernel_id": "105119125"}, {"ref": "riti0208/nllb-lexicon", "kernel_id": "105123443"}, {"ref": "riti0208/deep-past-nllb-200-v4", "kernel_id": "105155520"}, {"ref": "riti0208/deep-past-byt5-v5", "kernel_id": "105304718"}, {"ref": "riti0208/deep-past-nllb-200-v6", "kernel_id": "105400672"}, {"ref": "riti0208/deep-past-nllb-200-v5", "kernel_id": "105400507"}, {"ref": "riti0208/deep-past-byt5-v6", "kernel_id": "105377504"}, {"ref": "riti0208/deep-past-byt5-v4", "kernel_id": "105291944"}, {"ref": "riti0208/deep-past-byt5-v3", "kernel_id": "105265703"}, {"ref": "riti0208/deep-past-nllb-200-v8", "kernel_id": "105439493"}, {"ref": "riti0208/deep-past-nllb-200-v7", "kernel_id": "105438869"}, {"ref": "riti0208/deep-past-byt5-v1", "kernel_id": "105864986"}, {"ref": "riti0208/deep-past-t5gemma-v1", "kernel_id": "105864991"}, {"ref": "jasooka/notebook82221ee697", "kernel_id": "105716341"}, {"ref": "aaronbornstein/eng-akk-low-resource-sent-alignment", "kernel_id": "106515159"}, {"ref": "baimuratov/akkadian-uncovered-the-complete-deep-past-eda", "kernel_id": "106022291"}, {"ref": "kkashyap14/akkadian2eng-v1", "kernel_id": "106204800"}, {"ref": "zhangyue199/dpc-ai-translation-dataset", "kernel_id": "106272334"}, {"ref": "zhangyue199/dpc-sentence-alignment-oare-firstword", "kernel_id": "106349302"}, {"ref": "angantyr/deep-past-2025-data-analysis-and-cleaning", "kernel_id": "106222178"}, {"ref": "parsahriri/gatedattention", "kernel_id": "106634073"}, {"ref": "harsha1215/translation01", "kernel_id": "106450473"}, {"ref": "eunicetu/dataset-overview-starter-baselines", "kernel_id": "106599712"}, {"ref": "gpch2159/external-data-from-akkademia", "kernel_id": "106039364"}, {"ref": "gpch2159/competion-metric-playground-dpc", "kernel_id": "106036226"}, {"ref": "hanifnoerrofiq/dpc-weight-averaging-clean-repetition", "kernel_id": "106966234"}, {"ref": "johndoe90843/deep-past-sentence-v2-fold0-inference", "kernel_id": "106183310"}, {"ref": "johndoe90843/deep-past-v4-fold0-inference", "kernel_id": "106353163"}, {"ref": "johndoe90843/deep-past-v4-inference", "kernel_id": "106299564"}, {"ref": "johndoe90843/deep-past-v5-inference", "kernel_id": "106465138"}, {"ref": "johndoe90843/deep-past-v5-fold0-inference", "kernel_id": "106557730"}, {"ref": "johndoe90843/deep-past-v6-inference", "kernel_id": "106624639"}, {"ref": "seraquevence/dpc-the-alim-a-ur-family", "kernel_id": "106482267"}, {"ref": "certifiedsurvey/notebook19520bf208", "kernel_id": "106325657"}, {"ref": "rahul416/translation-basic-ml", "kernel_id": "106098201"}, {"ref": "rahul416/using-lstms", "kernel_id": "106132051"}, {"ref": "abhinavsharma0706/deep-01", "kernel_id": "106542122"}, {"ref": "jiexusheng20bz/byt-ensemble", "kernel_id": "106364274"}, {"ref": "shrenzypanda/pytorch-training-nb", "kernel_id": "106631554"}, {"ref": "yongsukprasertsuk/deep-past-challenge-byt5-optimized", "kernel_id": "106879456"}, {"ref": "vaishnavidesai345/translate-akkadian-to-english-lang", "kernel_id": "106377096"}, {"ref": "vaibhavdlights/eda-assyria", "kernel_id": "106576760"}, {"ref": "xiaoleilian/unsloth-pip-python12", "kernel_id": "106033154"}, {"ref": "xiaoleilian/deep-past-gemma3-4b-inference", "kernel_id": "106032474"}, {"ref": "jeanjean111/akkad-single-model-benchmark-32-6", "kernel_id": "106099853"}, {"ref": "shashankjha3/deep-past-challenge", "kernel_id": "106219518"}, {"ref": "llkh0a/dpc-baseline-train-infer", "kernel_id": "106369509"}, {"ref": "llkh0a/dpc-akkad-single-model-6-1", "kernel_id": "106295635"}, {"ref": "krugex/akkado", "kernel_id": "106102179"}, {"ref": "ryqn00/deep-past-challenge-training", "kernel_id": "106304786"}, {"ref": "shahdhara/akkadian-translation", "kernel_id": "106688558"}, {"ref": "basedhussain/byt5-small-akkadian", "kernel_id": "106234655"}, {"ref": "manwithacat/byt5-skeleton-inference-v1-0-2", "kernel_id": "106213973"}, {"ref": "manwithacat/byt5-rag-inference-v1-0-0", "kernel_id": "106197171"}, {"ref": "manwithacat/byt5-improved-v1-0-0-host-guidance", "kernel_id": "106115970"}, {"ref": "manwithacat/byt5-trainset-inference-v1-0-0", "kernel_id": "106718178"}, {"ref": "manwithacat/byt5-mt-inference-v1-0-2", "kernel_id": "106684171"}, {"ref": "manwithacat/byt-ensemble-v1-0-2", "kernel_id": "106726079"}, {"ref": "manwithacat/byt-ensemble-original-v1-0-3", "kernel_id": "106729273"}, {"ref": "manwithacat/two-tier-ensemble-v1-0-2", "kernel_id": "106734882"}, {"ref": "manwithacat/chunky-dict-v1-0-0", "kernel_id": "106895636"}, {"ref": "manwithacat/chunky-v1-0-0-akkadian-mt-with-sentence-chunking", "kernel_id": "106875431"}, {"ref": "manwithacat/lora-inference-v1-0-0", "kernel_id": "106995249"}, {"ref": "thevindimuhandiramge/byt5-model", "kernel_id": "106647889"}, {"ref": "divvelaashish/all-i-have-done-during-akkadian-deeppast", "kernel_id": "106308544"}, {"ref": "divvelaashish/flan-t5-small-akkadian-optimised", "kernel_id": "106599839"}, {"ref": "sahilmakhamale/akkadian-translator-model", "kernel_id": "106124912"}, {"ref": "samyakrajbayar/hmm-tme-to-try-smt", "kernel_id": "106653100"}, {"ref": "samyakrajbayar/byt-ensemble-3", "kernel_id": "106717877"}, {"ref": "samyakrajbayar/byt-ensemble", "kernel_id": "106494442"}, {"ref": "samyakrajbayar/byt-ensemble-223", "kernel_id": "106880463"}, {"ref": "samyakrajbayar/byt5-seq2-he-p", "kernel_id": "106880405"}, {"ref": "samyakrajbayar/deep-past-challenge", "kernel_id": "106959609"}, {"ref": "abdulwahab2321/akkad-single-model-benchmark-32-6", "kernel_id": "106137851"}, {"ref": "tarun71/translator", "kernel_id": "106316373"}, {"ref": "alvarochaveste/fork-of-foundation", "kernel_id": "106780776"}, {"ref": "alvarochaveste/foundation", "kernel_id": "106687584"}, {"ref": "alvarochaveste/clakkadian-translation-logogram-embeddings", "kernel_id": "106472034"}, {"ref": "alvarochaveste/propagation", "kernel_id": "106126262"}, {"ref": "alvarochaveste/fork-of-propagation-deepseek", "kernel_id": "106174174"}, {"ref": "alvarochaveste/rollout", "kernel_id": "106299615"}, {"ref": "hybiridtux123/notebook3a66d595cb", "kernel_id": "106927750"}, {"ref": "jasooka/notebookb8973e7ecd", "kernel_id": "106063511"}, {"ref": "caresment/deep-past-v55", "kernel_id": "106788116"}, {"ref": "caresment/deep-past-v52", "kernel_id": "106787345"}, {"ref": "caresment/deep-past-v51", "kernel_id": "106786979"}, {"ref": "caresment/deep-past-v54", "kernel_id": "106787870"}, {"ref": "caresment/deep-past-v53", "kernel_id": "106787570"}, {"ref": "ziyadqw/14-1-26-akkadian", "kernel_id": "106942766"}, {"ref": "aaronbornstein/probing-leader-board-overfitting-34-baseline", "kernel_id": "107134955"}, {"ref": "sword4949/deep-past-challenge-translate-akkadian-to-englis", "kernel_id": "107549729"}, {"ref": "sword4949/deep-past-challenge-weight-averaging", "kernel_id": "107939420"}, {"ref": "zhangyue199/dpc-byt5-retrain-tokenizer", "kernel_id": "107321736"}, {"ref": "lorenzoscaturchio/akkadian-translation-sentence-match-baseline", "kernel_id": "107882243"}, {"ref": "boristown/dpc-weight-averaging-clean-repetition", "kernel_id": "107368137"}, {"ref": "boristown/deep-past000-optimized", "kernel_id": "107178150"}, {"ref": "assiaben/single-model-inference-byt5-base-akkadian-3x", "kernel_id": "107190667"}, {"ref": "hanifnoerrofiq/byt5-x-translategemma", "kernel_id": "107317859"}, {"ref": "masanakashima/deep-past-byt5-akkadian-translator", "kernel_id": "107134143"}, {"ref": "loopassembly/akkadian-34-5", "kernel_id": "107497068"}, {"ref": "waleedejaz/deep-past-akkadian-translation", "kernel_id": "107250456"}, {"ref": "xreina8/akkadian-byt5-ensemble-guide", "kernel_id": "107308860"}, {"ref": "simomedamro/akkadian-challenge", "kernel_id": "107637980"}, {"ref": "anthonytherrien/byt-ensemble-script", "kernel_id": "107554325"}, {"ref": "omkarraichurkar/notebookace323d314", "kernel_id": "107346566"}, {"ref": "tickflag/translation", "kernel_id": "107379789"}, {"ref": "tryacc/to-do-project", "kernel_id": "107812053"}, {"ref": "rishipri/simple-translate-akkadian-to-english", "kernel_id": "107172298"}, {"ref": "antonyjoseph2121/deep-past-baseline-akkadian", "kernel_id": "107220200"}, {"ref": "antonyjoseph9848/akkadian-baseline-35-1-version", "kernel_id": "107562315"}, {"ref": "antonyjoseph9848/deep-past-baseline-akkadian-version-2", "kernel_id": "107131455"}, {"ref": "aaditimenon/deep-past-challenge", "kernel_id": "107324645"}, {"ref": "avikdas567/deep-past-challenge-translate-akkadian-to-english", "kernel_id": "107054759"}, {"ref": "harshita2024/mt5-deep-past-challenge", "kernel_id": "107837447"}, {"ref": "pascalledesma/deep-past-byt5-with-mbr-decoding", "kernel_id": "107831367"}, {"ref": "pascalledesma/deep-past-byt5-baseline-v2", "kernel_id": "107832750"}, {"ref": "manwithacat/weighted-34-2-byt5-ensemble-0-412-0-420-0-168", "kernel_id": "107056153"}, {"ref": "kylejameshanger/model-testing", "kernel_id": "107383550"}, {"ref": "divvelaashish/byt5-small-v1", "kernel_id": "107221016"}, {"ref": "divvelaashish/byt5-ensemble", "kernel_id": "107771171"}, {"ref": "divvelaashish/byt5-flant5-ensemble", "kernel_id": "107625554"}, {"ref": "wukeneth/submission-word-dict", "kernel_id": "107844608"}, {"ref": "viditarora18/eda-akkadian", "kernel_id": "107439391"}, {"ref": "alvarochaveste/goodoclaudetranslate", "kernel_id": "107347834"}, {"ref": "alvarochaveste/algoliagoogoogle", "kernel_id": "107676421"}, {"ref": "ameerpro99ai/notebook80e38711a7", "kernel_id": "107422672"}, {"ref": "xieendra/submission", "kernel_id": "107893333"}, {"ref": "dylan12138/add-newdataset1-2-gpt-0118", "kernel_id": "107270762"}, {"ref": "dylan12138/add-newdataset-1-2-inference", "kernel_id": "107312906"}, {"ref": "fx6300/qwen3-next-80b-fewshot-starter-llama-cpp", "kernel_id": "108309367"}, {"ref": "sword4949/deep-past-challenge-ver-3", "kernel_id": "108383123"}, {"ref": "sword4949/deep-past-challenge-ver-4", "kernel_id": "108441440"}, {"ref": "sword4949/deep-past-challenge-ver2", "kernel_id": "108299355"}, {"ref": "sword4949/deep-past-challenge", "kernel_id": "108217758"}, {"ref": "chakrabhuanavdeva/esemble-akkadian", "kernel_id": "108162404"}, {"ref": "dhrubangtalukdar/top-soln-bronze-score-34-5-byte-ensemble", "kernel_id": "108003023"}, {"ref": "dhrubangtalukdar/silver-medal-soln-akkadian-english-inference", "kernel_id": "108265692"}, {"ref": "assiaben/akkadian-english-inference-byt5-optimized-34x", "kernel_id": "108232505"}, {"ref": "swayamsinghal/flan-t5-starter-inference", "kernel_id": "108450847"}, {"ref": "seraquevence/dpc-increase-the-train-data-v02", "kernel_id": "108472675"}, {"ref": "seraquevence/dpc-increase-the-train-dataset", "kernel_id": "108082089"}, {"ref": "artembredikhin/akkadian-t5-inference", "kernel_id": "108714126"}, {"ref": "artembredikhin/akkadian-m2m-inference", "kernel_id": "108745515"}, {"ref": "antonyjoseph21/bucket-l", "kernel_id": "108407782"}, {"ref": "antonyjoseph21/bucket-m", "kernel_id": "108379823"}, {"ref": "antonyjoseph21/bucket-s", "kernel_id": "108346101"}, {"ref": "antonyjoseph21/deep-past-baseline", "kernel_id": "108100011"}, {"ref": "loopassembly/best-score-35-3-byt5-mbr-akkadian", "kernel_id": "108286442"}, {"ref": "sjoerddelangen/notebook-sjoerd", "kernel_id": "108845635"}, {"ref": "rudahm/dpc-starter-train", "kernel_id": "108846386"}, {"ref": "derickchris/arkadian-translation-v1", "kernel_id": "108898226"}, {"ref": "serariagomes/beam-search-for-akkadian-english-translation", "kernel_id": "108072675"}, {"ref": "serariagomes/akkadian-english-translation-techniques-improved", "kernel_id": "108095493"}, {"ref": "serariagomes/akkadian-english-byt5-optimized-again", "kernel_id": "108353733"}, {"ref": "junaid512/akkadian-to-english-v1", "kernel_id": "108326348"}, {"ref": "junaid512/dpc-tae-score-35-1", "kernel_id": "108816311"}, {"ref": "hikari30/exp001-val-beam-vs-mbr", "kernel_id": "108975908"}, {"ref": "hikari30/exp001-mbr-byt5-akkadian", "kernel_id": "108969733"}, {"ref": "kshithijshetty/byt-ensemble", "kernel_id": "108336008"}, {"ref": "carp0308/akkadian-mt-preprocessing-ensemble-inference", "kernel_id": "108531514"}, {"ref": "vikasj1in/advanced-akkadian-to-english-translation-vk", "kernel_id": "108291696"}, {"ref": "nikitakuznetsof/just-fun-blend", "kernel_id": "108081015"}, {"ref": "sponishflea/heuristics-assyrian-dictionary", "kernel_id": "108394734"}, {"ref": "sponishflea/lightgbm-xgboost-catboost-regression-cv-ensemble", "kernel_id": "108332421"}, {"ref": "sponishflea/deeppast2027", "kernel_id": "108247512"}, {"ref": "hermanadriaensen/hybrid-best-akkadian", "kernel_id": "108847360"}, {"ref": "vivekumar001/old-assyrian-english", "kernel_id": "108447405"}, {"ref": "antonyjoseph9848/deep-past-baseline-akkadian-1", "kernel_id": "108705076"}, {"ref": "cacelx/byt-ensemble", "kernel_id": "108290721"}, {"ref": "baidalinadilzhan/lb-35-2-ensemble", "kernel_id": "108435184"}, {"ref": "cloudae/gemma3-270m", "kernel_id": "108568961"}, {"ref": "pascalledesma/deep-past-nllb-rag-v2-lexicon-enhanced-translation", "kernel_id": "108287458"}, {"ref": "pascalledesma/deep-past-nllb-rag-v3-lexicon-enhanced-translation", "kernel_id": "108287687"}, {"ref": "pascalledesma/deep-past-nllb-rag-v1-lexicon-enhanced-translation", "kernel_id": "108287055"}, {"ref": "pascalledesma/deep-past-model-soup-v3-fixed", "kernel_id": "108287019"}, {"ref": "pascalledesma/deep-past-model-soup", "kernel_id": "108114753"}, {"ref": "pascalledesma/deep-past-byt5-winning-soup-38-bleu", "kernel_id": "108103502"}, {"ref": "prayagp1/adaptive-beams-test-v1", "kernel_id": "108363393"}, {"ref": "prayagp1/submission-blending-experiment", "kernel_id": "108190370"}, {"ref": "manwithacat/chunky-v1-2-0", "kernel_id": "108413170"}, {"ref": "manwithacat/chunky-v1-5-0", "kernel_id": "108421296"}, {"ref": "manwithacat/chunky-v1-4-0", "kernel_id": "108419441"}, {"ref": "manwithacat/chunky-v1-3-0", "kernel_id": "108418030"}, {"ref": "manwithacat/byt5-optuna-tuned-v1-0-0", "kernel_id": "108731770"}, {"ref": "kylejameshanger/model-zoo", "kernel_id": "108099490"}, {"ref": "meenalsinha/hybrid-best-akkadian", "kernel_id": "108738523"}, {"ref": "harukiharada/byt5-optuna-tuning-chunked-beam-search", "kernel_id": "108895013"}, {"ref": "martinaolivato/translate-akkadian-to-english-baseline", "kernel_id": "108842456"}, {"ref": "arthursteckelberg/dpc-notebook-04", "kernel_id": "108009698"}, {"ref": "arthursteckelberg/dpc-notebook-06", "kernel_id": "108279534"}, {"ref": "mruddunijmodha/eda-mrudduni", "kernel_id": "108919893"}, {"ref": "gatiksingh/notebook29f06958e8", "kernel_id": "108943567"}, {"ref": "aiswarjya/dpc-tae-score-35-1", "kernel_id": "108541006"}, {"ref": "chandrawanshajr/working-v", "kernel_id": "108920336"}, {"ref": "mvijay799767/byt-ensemble", "kernel_id": "108526923"}, {"ref": "zhaochengde/akkadians", "kernel_id": "108651903"}, {"ref": "cminhnguyntrnh/deeppast-pretrain-finetune-transformer", "kernel_id": "108426670"}, {"ref": "cminhnguyntrnh/attempt2-deep-past-byt5-enhanced", "kernel_id": "108417999"}, {"ref": "hanoush87/deep-past-mt-a1", "kernel_id": "109028735"}, {"ref": "jamesmcguigan/akkadian-eda", "kernel_id": "109638728"}, {"ref": "jamesmcguigan/akkadian-praeclarum-cuneiform", "kernel_id": "109641018"}, {"ref": "lgregory/akkadiam-exemple", "kernel_id": "109825852"}, {"ref": "zoupet/exploratory-data-analysis-part-1", "kernel_id": "109173892"}, {"ref": "zoupet/exploratory-data-analysis-part-2", "kernel_id": "109232411"}, {"ref": "zoupet/exploratory-data-analysis-part-3", "kernel_id": "109237511"}, {"ref": "ngyzly/ensemble-is-all-you-need", "kernel_id": "109585739"}, {"ref": "rifat963/competition-deep-past-challenge-eda-with-insights", "kernel_id": "109853895"}, {"ref": "raipachi0704/exp-35-postprocess", "kernel_id": "109615739"}, {"ref": "billbafare/round7-script-omit-sources-probe", "kernel_id": "109500794"}, {"ref": "angantyr/text-extraction-from-pdf-docs-using-glm-oc", "kernel_id": "109468954"}, {"ref": "franksunp/eda-leaderboard-analysis-deep-past-challenge", "kernel_id": "109362781"}, {"ref": "taikimori/deep-past-bertopic-eda", "kernel_id": "109541710"}, {"ref": "xjoannax88/akkadian-eda", "kernel_id": "109785604"}, {"ref": "yasunorim/deep-past-cloud-workflow-tfidf-baseline", "kernel_id": "109443146"}, {"ref": "youtchou/byt-ensemble-script-v2", "kernel_id": "109641075"}, {"ref": "youtchou/byt-ensemble-v3-fixed", "kernel_id": "109641246"}, {"ref": "youtchou/byt-v4-beams-10", "kernel_id": "109641439"}, {"ref": "youtchou/byt-v5-beams-10-rep", "kernel_id": "109641734"}, {"ref": "youtchou/byt-ensemble-youri-s-merge-v4", "kernel_id": "109641969"}, {"ref": "dynamo14324/deep-past-akkadian-translation-baseline", "kernel_id": "109008972"}, {"ref": "erenalpp/byt5-akkadian-model", "kernel_id": "109413230"}, {"ref": "theflashylucario/dpc-starter-train-oa-lexicon", "kernel_id": "109818193"}, {"ref": "mattiaangeli/deep-pasta-mbr", "kernel_id": "109400332"}, {"ref": "mattiaangeli/deep-pasta-mbr-v2", "kernel_id": "109977701"}, {"ref": "loopassembly/score-35-3-byt5-mbr-pipeline", "kernel_id": "109815507"}, {"ref": "loopassembly/score-34-7-byt5-mbr-pipeline", "kernel_id": "109752961"}, {"ref": "abhinavsharma0706/deep-08", "kernel_id": "109363832"}, {"ref": "abhinavsharma0706/deep-09", "kernel_id": "109362995"}, {"ref": "jiayuanshe/byt5-for-akkadian", "kernel_id": "109854748"}, {"ref": "potatoballoon/deeppast-baseline-dict-retrieval", "kernel_id": "109972461"}, {"ref": "potatoballoon/akkadian-byt5-optimized-34x-fork", "kernel_id": "109978185"}, {"ref": "teopazera/oracc-from-pre-trained-byt5", "kernel_id": "109642315"}, {"ref": "suman2208/pre-processing-that-might-work", "kernel_id": "109482802"}, {"ref": "muhammadameenbohio/baseline-byt5-training", "kernel_id": "109805861"}, {"ref": "alexanterkapai/baseline", "kernel_id": "109244301"}, {"ref": "alexanterkapai/model20-02", "kernel_id": "109814597"}, {"ref": "niyabenny/dcp-akkadian-to-english-translation", "kernel_id": "109433835"}, {"ref": "dimong4/deep-past-challenge", "kernel_id": "109444731"}, {"ref": "divabhattacharya/trying-pre", "kernel_id": "109492008"}, {"ref": "paragpawar2008/akkadian-translation", "kernel_id": "109996257"}, {"ref": "up202108827/working-again", "kernel_id": "109989515"}, {"ref": "kbsooo/akkadian-v10-inference", "kernel_id": "109650337"}, {"ref": "krishnayadav456wrsty/deep-optimal", "kernel_id": "109375980"}, {"ref": "krishnayadav456wrsty/dpc-starter-infer-add-sentencealign", "kernel_id": "109366291"}, {"ref": "hermanadriaensen/deep-past-model-group-15-v1", "kernel_id": "109311819"}, {"ref": "hermanadriaensen/nllb-training-notebook", "kernel_id": "109989325"}, {"ref": "jorapro/nllb-200-simple-training-lb-30", "kernel_id": "109047740"}, {"ref": "giovannyrodrguez/5-6-lb-for-model-overfitting", "kernel_id": "109648874"}, {"ref": "rhythmghai/ancient-akkadian-translator-byt5-base", "kernel_id": "109488996"}, {"ref": "liekebugel/byt5-weight-averaging-copy-liek", "kernel_id": "109814794"}, {"ref": "yuanyuan98/dpc-simple-ensemble-heuristic-post-processing", "kernel_id": "109421277"}, {"ref": "chandrawanshajr/submission-i", "kernel_id": "109054581"}, {"ref": "hassemees/working-again", "kernel_id": "109852822"}, {"ref": "aneeshvarmar/lb-35-2-ensemble-aef0c9", "kernel_id": "109815223"}, {"ref": "ktajpn/byt5-base-akkadian-tpu-train-v2", "kernel_id": "109976964"}, {"ref": "lgregory/akkadian-deep", "kernel_id": "110733325"}, {"ref": "rifat963/offline-competition-deep-past-challenge-mbart50", "kernel_id": "110005866"}, {"ref": "khursani8/byt5-akkadian-5-fold-ensemble-submission", "kernel_id": "110083895"}, {"ref": "lehoanganh298/deep-past-byt5-top-model-inference", "kernel_id": "110807480"}, {"ref": "lehoanganh298/deep-past-akkadian-byt5-inference", "kernel_id": "110806584"}, {"ref": "ruben10/scrape-pdfs", "kernel_id": "110850040"}, {"ref": "yutakaimai/deep-past-byt5-akkadian-mbr-inference", "kernel_id": "110310775"}, {"ref": "yutakaimai/deep-past-byt5-akkadian-mbr", "kernel_id": "110311592"}, {"ref": "yutakaimai/deep-past-byt5-akkadian-translation", "kernel_id": "110149510"}, {"ref": "pshikk/ffn-lora-deep-past", "kernel_id": "110527566"}, {"ref": "rafaelqueirozl/beam-search-for-akkadian-english-translation", "kernel_id": "110877627"}, {"ref": "demiruzun/exemple-submission", "kernel_id": "110777141"}, {"ref": "suman2208/baseline-competition-aligned", "kernel_id": "110859518"}, {"ref": "suman2208/competiton-aligned-data-cleaning", "kernel_id": "110812083"}, {"ref": "suman2208/suman2208", "kernel_id": "110918240"}, {"ref": "shivsatyam/nmt-akkadian-english-quick-inference-pipeline", "kernel_id": "110116102"}, {"ref": "rejk11/deep-past-qwen-4b-lora", "kernel_id": "110644060"}, {"ref": "rejk11/deep-past-qwen-lora-v2", "kernel_id": "110995046"}, {"ref": "junaid512/akkadian-english-translation-pipeline", "kernel_id": "110224066"}, {"ref": "kshithijshetty/ensemble-method-2-0", "kernel_id": "110328505"}, {"ref": "kshithijshetty/byt-ensemble-script", "kernel_id": "110326531"}, {"ref": "up202108827/inference-notebook", "kernel_id": "110000584"}, {"ref": "juliangoph/dpc-translation-training", "kernel_id": "110729728"}, {"ref": "sagarred24b026/akkadian", "kernel_id": "110735805"}, {"ref": "antonyjoseph9848/deep-past-baseline-akkadian-1353d5b9404-05605e", "kernel_id": "110081458"}, {"ref": "mah20050/the-scribal-code-decoding-ancient-akkadian", "kernel_id": "110355758"}, {"ref": "mah20050/cuneiform-code-breaking-ancient-seals-with-r", "kernel_id": "110629781"}, {"ref": "halitta/deep-past-v4-offline-training-with-64k-pairs", "kernel_id": "110874901"}, {"ref": "halitta/deep-past-akkadian-to-english-translation", "kernel_id": "110659927"}, {"ref": "halitta/deep-past-advanced-akkadian-translation-v2", "kernel_id": "110661819"}, {"ref": "halitta/deep-past-challenge-baseline-starter", "kernel_id": "110453618"}, {"ref": "zephyrxx0/deep-past-challenge", "kernel_id": "110262412"}, {"ref": "lszlst/akkadian-godgod3-inference", "kernel_id": "110658610"}, {"ref": "yuanyuan98/akkadian-translation-with-mbr", "kernel_id": "110086583"}, {"ref": "strangerxxxy/v1-3-0-alpha", "kernel_id": "110087516"}, {"ref": "girrajjangid/deep-past-akkadian-to-english-translator", "kernel_id": "110314197"}, {"ref": "rahulkumar160602/translate-akkadian-to-english", "kernel_id": "110262012"}, {"ref": "kiza123123/trinity-akkadian-sota-v2-0-beam-search-upgrade", "kernel_id": "110108891"}, {"ref": "kiza123123/fork-of-fork-of-trinity-akkadian-sota-off-00ecb6", "kernel_id": "110409909"}, {"ref": "rauffauzanrambe/robust-seq2seq-inference-with-data-aware", "kernel_id": "110825754"}, {"ref": "hassemees/working-again-trying-aug1", "kernel_id": "110781767"}, {"ref": "zorojuro358/akkadian-english-byt5", "kernel_id": "110697604"}, {"ref": "zorojuro358/akkadian-english-helsiniki", "kernel_id": "110089926"}, {"ref": "kevinermille/deep-past-akkadian-translation-v1", "kernel_id": "110970433"}, {"ref": "ouga1shizawa/dpc-1", "kernel_id": "110817447"}, {"ref": "lgregory/lb-35-2-akkadian-exemple", "kernel_id": "111391774"}, {"ref": "ngyzly/ensembling-post-processing-baseline", "kernel_id": "111103779"}, {"ref": "ngyzly/better-candidate-diversity-on-public-model", "kernel_id": "111575194"}, {"ref": "nadeembinshajahan/akkadian-improved-3model-v6", "kernel_id": "111489336"}, {"ref": "nadeembinshajahan/akkadian-simplified-3model-final", "kernel_id": "111489809"}, {"ref": "nadeembinshajahan/akkadian-improved-v6", "kernel_id": "111489191"}, {"ref": "nadeembinshajahan/akkadian-improved-3model-v2", "kernel_id": "111487837"}, {"ref": "nadeembinshajahan/akkadian-improved-3model-v3", "kernel_id": "111488269"}, {"ref": "nadeembinshajahan/akkadian-improved-v4", "kernel_id": "111488382"}, {"ref": "nadeembinshajahan/akkadian-improved-3model-v4", "kernel_id": "111488431"}, {"ref": "nadeembinshajahan/akkadian-improved-3model-v5", "kernel_id": "111488591"}, {"ref": "nadeembinshajahan/improved-akkadian-3model-geometric-mbr", "kernel_id": "111487556"}, {"ref": "einherjer/dpi-metric-playground", "kernel_id": "111133731"}, {"ref": "dmitrysokolevskiy/dpc-infer-byt5-my-lora-soup", "kernel_id": "111758578"}, {"ref": "konstantinboyko/akka-2025-03-01-04-infer-byt5-base", "kernel_id": "111274519"}, {"ref": "konstantinboyko/akka-2025-03-07-02-infer", "kernel_id": "111679962"}, {"ref": "konstantinboyko/akka-2025-02-30-02-infer", "kernel_id": "111693199"}, {"ref": "theflashylucario/dpc-starter-infer-lexicon", "kernel_id": "111250254"}, {"ref": "notaiax/lb-35-5-hybrid-akkadian", "kernel_id": "111687298"}, {"ref": "hrithik22122/rank-8-single-model-ebl-post-processing", "kernel_id": "111764590"}, {"ref": "sjoerddelangen/named-entities", "kernel_id": "111476650"}, {"ref": "mr0106/deep-past-challenge-1", "kernel_id": "111358601"}, {"ref": "mr0106/deep-past-challenge-final-1", "kernel_id": "111322200"}, {"ref": "mr0106/deeppastchallenge", "kernel_id": "111282462"}, {"ref": "mr0106/deep-past-challenge-professional", "kernel_id": "111283243"}, {"ref": "mr0106/deep-past-challenge-final", "kernel_id": "111282729"}, {"ref": "mr0106/deep-past-challenge", "kernel_id": "111274996"}, {"ref": "mr0106/deep-past-challenge-akkadian-1", "kernel_id": "111505040"}, {"ref": "mr0106/deep-past-challenge-translate", "kernel_id": "111494411"}, {"ref": "mr0106/deep-past-challenge-translate-akkadian", "kernel_id": "111516237"}, {"ref": "mr0106/deep-past-challenge-v13-0", "kernel_id": "111531988"}, {"ref": "mr0106/deep-past-challenge-akkadian", "kernel_id": "111421519"}, {"ref": "mr0106/deep-past-challenge-akkadian1", "kernel_id": "111443404"}, {"ref": "mr0106/deep-past-challenge-0", "kernel_id": "111481733"}, {"ref": "extergeist/ensemble-mbr-decoding-dpc", "kernel_id": "111814772"}, {"ref": "lisakwon/deep-past-challenge-test1", "kernel_id": "111122512"}, {"ref": "shadesh/tf-idf-nearest-neighbor", "kernel_id": "111295813"}, {"ref": "majin1no1shokutaku/deep-past-challenge", "kernel_id": "111654537"}, {"ref": "waterjoe/lb-35-9-ensembling-post-processing-baseline", "kernel_id": "111648584"}, {"ref": "waterjoe/lb-35-5-better-candidate-diversity-on-public-model", "kernel_id": "111670558"}, {"ref": "vitorhugobarbedo/lb-35-9-with-regex-corrections-public-model", "kernel_id": "111622990"}, {"ref": "zeyadmohamadezzat/akkadian-prepruning-and-prompt-variant", "kernel_id": "111683175"}, {"ref": "gourabr0y555/deep-past-improved-copy", "kernel_id": "111593718"}, {"ref": "yutaosunn/deep-past-v1-tfidf-baseline", "kernel_id": "111386389"}, {"ref": "teresafitzgerald/locked-deep-past-challenge", "kernel_id": "111451350"}, {"ref": "carp0308/seq2seq-model-training", "kernel_id": "111245884"}, {"ref": "juliangoph/dpc-translation-inference", "kernel_id": "111221131"}, {"ref": "cameronwarrennn/deep-past-translation-starter-guide", "kernel_id": "111352977"}, {"ref": "cameronwarrennn/advanced-mbr-pipeline", "kernel_id": "111682896"}, {"ref": "cameronwarrennn/deep-past-starter-guide", "kernel_id": "111681988"}, {"ref": "hermanadriaensen/inference-nllb", "kernel_id": "111162498"}, {"ref": "antonyjoseph2121/fork-of-deep-past-baseline-akkadian-1353d5b-63c875", "kernel_id": "111630206"}, {"ref": "giovannyrodrguez/lb-35-9-ensembling-post-processing-baseline", "kernel_id": "111417957"}, {"ref": "giovannyrodrguez/trainakka", "kernel_id": "111081437"}, {"ref": "giovannyrodrguez/fork-of-trainakka-lb-34-4", "kernel_id": "111270480"}, {"ref": "halitta/akkadian-ensemble-mbr-v2-offline", "kernel_id": "111487480"}, {"ref": "halitta/akkadian-ensemble-mbr-v3-fixed-offline", "kernel_id": "111487907"}, {"ref": "sigmaborov/lb-35-4-cross-model-mbr-ensemble", "kernel_id": "111582017"}, {"ref": "shree0910/akkadian-to-english-translation-using-byt5", "kernel_id": "111719422"}, {"ref": "gauravparkhedkar/35-9-score-notebook", "kernel_id": "111897091"}, {"ref": "furqonaryadana/34-9-cross-model-ensemble-x-minimum-bayes-risk", "kernel_id": "111632352"}, {"ref": "daylighth/dpc-test-coder-llms", "kernel_id": "111672112"}, {"ref": "srivatsansed24b032/akkadian", "kernel_id": "111061398"}, {"ref": "ekremkutukculer/akkadian", "kernel_id": "111593676"}, {"ref": "ekremkutukculer/deep-past-challenge-byt5-3-model-ensemble-mbr", "kernel_id": "111681410"}, {"ref": "martinaolivato/nllb-model", "kernel_id": "111247271"}, {"ref": "dylan12138/sharing", "kernel_id": "111648368"}, {"ref": "rauffauzanrambe/deep-past-ai-reviving-akkadian-through-machine", "kernel_id": "111223249"}, {"ref": "rauffauzanrambe/high-performance-mbr-optimized-akkadian-translatio", "kernel_id": "111219630"}, {"ref": "rauffauzanrambe/high-efficiency-akkadian-translation-mixed", "kernel_id": "111059815"}, {"ref": "rauffauzanrambe/ultra-inference-engine-for-akkadian-translation", "kernel_id": "111056294"}, {"ref": "aminmahmoudalifayed/deep-past-challenge-translate-akkadian-to-engl", "kernel_id": "111593108"}, {"ref": "aminmahmoudalifayed/i-studied-every-top-solution", "kernel_id": "111537753"}, {"ref": "aneeshvarmar/lb-35-2-ensemble-9a6c9b", "kernel_id": "111363414"}, {"ref": "zorojuro358/ensemble", "kernel_id": "111472593"}, {"ref": "yulieh/notebook-testing2", "kernel_id": "111352660"}, {"ref": "kevinermille/dpc-minimal-test-v2", "kernel_id": "111231567"}, {"ref": "kevinermille/dpc-diagnostic-test", "kernel_id": "111109674"}, {"ref": "pheezzyy/kaggle-translation", "kernel_id": "111028356"}, {"ref": "pheezzyy/inference-byt5-kaggle-finetuned", "kernel_id": "111251343"}, {"ref": "jaytodd123/note-book-grant-lushin", "kernel_id": "111528197"}, {"ref": "shyzabox/the-shyble-a-tribute-to-the-greatest-book-ever", "kernel_id": "111944875"}, {"ref": "fx6300/38-5-dpc-chunked-ensemble", "kernel_id": "112778833"}, {"ref": "vitalykudelya/vitaly-deep-past-challenge-submission-code", "kernel_id": "112361553"}, {"ref": "grennwolf/multi-gpu-inference-byt5-large-mbr", "kernel_id": "112571815"}, {"ref": "ebinan92/5th-solution", "kernel_id": "112090093"}, {"ref": "xaviertce/segement-stage-try1", "kernel_id": "112181015"}, {"ref": "seungjunleeofficial/lb-26-2-byt5", "kernel_id": "112302337"}, {"ref": "akshayajaishankar/lora-fine-tuning-on-pre-trained-model", "kernel_id": "112173325"}, {"ref": "cq9067/lb-35-7-length-penalty-in-mbr", "kernel_id": "112477555"}, {"ref": "mattiaangeli/deep-pasta-soup-5-model", "kernel_id": "112585184"}, {"ref": "naotonishida/expj00-ft-infer", "kernel_id": "112328054"}, {"ref": "naotonishida/expj00-ft-dl", "kernel_id": "112275412"}, {"ref": "paritoshtripathi5/akkadian-pdf-layout-analysis-extract-tables", "kernel_id": "112197164"}, {"ref": "abhids123/deeppastchallenge-byt5akkadianmbr", "kernel_id": "112674226"}, {"ref": "up202108827/unsupervised-learning-model", "kernel_id": "112003359"}, {"ref": "clairemurphygoat/mlip-inference-deep-past", "kernel_id": "112034817"}, {"ref": "eleftheria14/4-model-source-grounded-mbr-chrf-35-10-55", "kernel_id": "112497556"}, {"ref": "martinaolivato/training-baseline-optuna-tuning", "kernel_id": "112686267"}, {"ref": "scottwessel/update-popular", "kernel_id": "112492566"}, {"ref": "abdullaharain786/deep-past-challenge-prediction", "kernel_id": "112586982"}, {"ref": "marcellogalisai/final-submission-mbr", "kernel_id": "112723492"}, {"ref": "marcellogalisai/final-data-processing-analysis-selection", "kernel_id": "112177676"}, {"ref": "cooodecy/deeppast-v3-1", "kernel_id": "112803313"}, {"ref": "hassemees/seperate-cleaning-it2-augmented-dataset-m-88144d", "kernel_id": "112033830"}, {"ref": "beatrizferrao/dpc-starter-train-test-bia", "kernel_id": "112399372"}, {"ref": "iankahn/infer-large", "kernel_id": "112473828"}, {"ref": "iankahn/train-large", "kernel_id": "112190350"}, {"ref": "beaunienhuis/lexicon-pre-training", "kernel_id": "112475809"}, {"ref": "beaunienhuis/publications-translation", "kernel_id": "112402788"}, {"ref": "beaunienhuis/generate-tablets-english", "kernel_id": "112593988"}, {"ref": "beaunienhuis/data-filtering", "kernel_id": "112529458"}, {"ref": "beaunienhuis/backtranslation-notebook", "kernel_id": "112743460"}, {"ref": "darraghdog/k-ltepe-tablets-with-gemini-flash", "kernel_id": "113214787"}, {"ref": "conjuring92/dpc-a08-inference-rm", "kernel_id": "113059713"}, {"ref": "anaphase21/vitaly-deep-past-challenge-submission-code-a93e45", "kernel_id": "113977545"}, {"ref": "tobimichigan/complete-neural-machine-translation-nmt", "kernel_id": "113110082"}, {"ref": "tobimichigan/akkadian-engl-neural-machine-translation-nmt", "kernel_id": "113015718"}, {"ref": "tobimichigan/aladian-to-english-algorithms", "kernel_id": "113155773"}, {"ref": "tobimichigan/algorithmic-logic-for-akkadian-to-english", "kernel_id": "113165301"}, {"ref": "ruben10/notebook908d81e7c9", "kernel_id": "113705583"}, {"ref": "xaviertce/pretrain-stage1-span-masking", "kernel_id": "113375536"}, {"ref": "vidthuma/final-data-processing-analysis-selection", "kernel_id": "113617514"}, {"ref": "yeoyunsianggeremie/deep-past-inference", "kernel_id": "113144749"}, {"ref": "tatsuokoshida/privatelb-36-6-ensembling-post-processing", "kernel_id": "113394596"}, {"ref": "guoqingu/cleaner", "kernel_id": "113552280"}, {"ref": "guoqingu/train-byt5", "kernel_id": "113355407"}, {"ref": "guoqingu/t4-ct2-byte-t5-mbr-ensemble", "kernel_id": "113120044"}, {"ref": "paritoshtripathi5/akkadian-last-sub-signing-off", "kernel_id": "113280025"}, {"ref": "srimandonthireddi/akkadianchallenge", "kernel_id": "113439384"}, {"ref": "bhavanvs/bavo1702", "kernel_id": "113311409"}, {"ref": "wscmisx/final-dpc-ensemble-mbr-infer", "kernel_id": "113351506"}, {"ref": "wscmisx/dpc-clean-function", "kernel_id": "113349552"}, {"ref": "bianfu/fork-of-fork-of-4model-loacl-52-1-a3b93e", "kernel_id": "113165306"}, {"ref": "saurabhrajvarma/deep-past-challenge-translate-akkadian-to-english", "kernel_id": "113291612"}, {"ref": "anitejsingh6633/deep-past-1", "kernel_id": "113011128"}, {"ref": "radubocu/train-augm-final", "kernel_id": "113608528"}, {"ref": "radubocu/dpc-byt5-finetune-inference", "kernel_id": "113306810"}, {"ref": "yuriygreben/deep-past-ensemble-byt5-with-mbr", "kernel_id": "113512838"}, {"ref": "marynaborovska/deep-past-ensemble-byt5", "kernel_id": "113519389"}, {"ref": "adithadi/test-bed-akkadian", "kernel_id": "113530466"}, {"ref": "martinaolivato/inference-notebook-score-calculator", "kernel_id": "113401234"}, {"ref": "turietukay/deep-past-v6-cross-model-mbr-ensemble", "kernel_id": "113138877"}, {"ref": "alvarochaveste/notebookce106ad37f", "kernel_id": "113272316"}, {"ref": "mdyasinkin/notebook7a77e2a9f5", "kernel_id": "113450122"}, {"ref": "marcellogalisai/final-sumbission-consensus", "kernel_id": "113472060"}, {"ref": "marcellogalisai/final-multi-task-learning", "kernel_id": "113173570"}, {"ref": "marcellogalisai/final-fine-tuning", "kernel_id": "113208007"}, {"ref": "hassemees/byt5-it2-with-seperate-cleaning", "kernel_id": "113706999"}, {"ref": "anestispantazis/mlip11-v6-inference-byt5-akkadian", "kernel_id": "113015875"}, {"ref": "lucasmorrispurdue/purduenlp-project", "kernel_id": "113325813"}, {"ref": "zephyrxx0/deep-past-challenge-akkadian-to-english", "kernel_id": "115450839"}, {"ref": "defaultperson/dpc-hybrid-tfidf-byt5-late", "kernel_id": "115172366"}, {"ref": "shyzabox/ancient-web-shyzabox", "kernel_id": "116996075"}, {"ref": "edai53rdyear/nlp-project1", "kernel_id": "117955955"}, {"ref": "anthonytoffetti/pre-train-byt5-span-corruption", "kernel_id": "117183234"}, {"ref": "anthonytoffetti/clean-oracc-cdli-corpus-byt5-format", "kernel_id": "117074507"}, {"ref": "lemonpro/deep-past-challenge-translate-akkadian-to-englis", "kernel_id": "118599283"}, {"ref": "anthonytoffetti/byt5-fine-tune-akkadian-to-english", "kernel_id": "119740286"}, {"ref": "anthonytoffetti/clean-deep-past-data-for-translation", "kernel_id": "119738068"}, {"ref": "lukasheza/dpc-inference", "kernel_id": "120775163"}, {"ref": "akshajshandilya/akkadianml", "kernel_id": "120181991"}, {"ref": "anthonytoffetti/inference-byt5-translation-akkadian-to-english", "kernel_id": "121027105"}, {"ref": "amirjdai/notebookc1223226dd", "kernel_id": "128253125"}]}
{"competition_id": "121166", "kernels": [{"ref": "pteacher/churn-with-hpo-and-automl", "kernel_id": "104973998"}]}
{"competition_id": "121180", "kernels": []}
{"competition_id": "121219", "kernels": []}
{"competition_id": "121238", "kernels": []}
{"competition_id": "121241", "kernels": []}
{"competition_id": "121245", "kernels": [{"ref": "sanjeevthakur2024/used-car-price-prediction-eda", "kernel_id": "106126561"}]}
{"competition_id": "121248", "kernels": [{"ref": "antoningorokva/baseline-the-defected-nuts-aicc-round-1", "kernel_id": "100540806"}, {"ref": "antoningorokva/ref-solution-the-defected-nuts-aicc-round-1", "kernel_id": "107685715"}, {"ref": "prvsiyan/the-defected-nuts-aicc-round-1-2", "kernel_id": "121565476"}]}
{"competition_id": "121250", "kernels": [{"ref": "antoningorokva/baseline-autocorrect-aicc-round-1", "kernel_id": "100540979"}, {"ref": "khanhtb/baseline-autocorrect-aicc-round-1", "kernel_id": "117123466"}, {"ref": "orionaraf/gru-hehe", "kernel_id": "118489706"}, {"ref": "oiercosmos/baseline-autocorrect-aicc-round-1", "kernel_id": "123965056"}]}
{"competition_id": "121251", "kernels": [{"ref": "antoningorokva/baseline-is-that-audio-aicc-round-1", "kernel_id": "100541532"}]}
{"competition_id": "121265", "kernels": [{"ref": "wanhin/simple-baseline", "kernel_id": "100624633"}]}
{"competition_id": "121270", "kernels": []}
{"competition_id": "121281", "kernels": []}
{"competition_id": "121282", "kernels": [{"ref": "msaiabhiram/notebook351348f91d", "kernel_id": "101268065"}]}
{"competition_id": "121283", "kernels": [{"ref": "achintya47/baseline-code-by-gdgc", "kernel_id": "100752259"}, {"ref": "shanmukhadattaboda/shanmukh-datta-s-notebook", "kernel_id": "101738413"}, {"ref": "javinchutani/gdgc-round-1-javin", "kernel_id": "101738405"}, {"ref": "narinder2006/narinder-prediction", "kernel_id": "101739964"}, {"ref": "kartiksirohi/gdgc-comp", "kernel_id": "101737581"}, {"ref": "praveenyadav8/notebookd467714b9b", "kernel_id": "101741899"}, {"ref": "riyagoyal0810/relationship-predictor", "kernel_id": "101739116"}, {"ref": "kanavsaras/notebookeec1985569", "kernel_id": "101744105"}, {"ref": "karanpreetsingh08/karanpreet-singh-gdgc-comp", "kernel_id": "101739752"}, {"ref": "mananbansal07/final-notebook", "kernel_id": "101749730"}, {"ref": "mananbansal07/manan-gdgc", "kernel_id": "101738321"}, {"ref": "shayanbo/baseline-code-by-shayan", "kernel_id": "101741311"}]}
{"competition_id": "121284", "kernels": []}
{"competition_id": "121288", "kernels": [{"ref": "turbosoggygary/notebook46dbb4f1a4", "kernel_id": "102089363"}]}
{"competition_id": "121295", "kernels": [{"ref": "mohammedmoinuddin/kco-sandbox", "kernel_id": "100834988"}, {"ref": "lopure/nlp-text-preprocessing-pipeline", "kernel_id": "103258405"}]}
{"competition_id": "121306", "kernels": []}
{"competition_id": "121309", "kernels": []}
{"competition_id": "121326", "kernels": [{"ref": "clyde1114/615557-practice02-sample", "kernel_id": "100970745"}]}
{"competition_id": "121342", "kernels": []}
{"competition_id": "121345", "kernels": [{"ref": "alekseifominykh/notebook7838acab21", "kernel_id": "103397592"}, {"ref": "stanislavdelyukov/notebook5a8a1647da", "kernel_id": "103679747"}]}
{"competition_id": "121394", "kernels": []}
{"competition_id": "121448", "kernels": [{"ref": "kaczmareka/sample-submission-for-data-leakage", "kernel_id": "103360724"}, {"ref": "nocarbonintelligence/esa-ai-security", "kernel_id": "103365594"}]}
{"competition_id": "121503", "kernels": []}
{"competition_id": "121511", "kernels": []}
{"competition_id": "121517", "kernels": []}
{"competition_id": "121539", "kernels": [{"ref": "incloudrain/notebookf1cecadf6a", "kernel_id": "103467002"}]}
{"competition_id": "121548", "kernels": [{"ref": "moezzouarip2m/helipad-detection", "kernel_id": "102088499"}]}
{"competition_id": "121560", "kernels": []}
{"competition_id": "121593", "kernels": []}
{"competition_id": "123678", "kernels": [{"ref": "mlaiaus/module-3-teaching-your-computer-to-make-choices", "kernel_id": "102742240"}, {"ref": "mlaiaus/module-4-grandma-s-phishing-radar", "kernel_id": "102742860"}, {"ref": "mlaiaus/module-5-tiny-ai-without-deep-learning", "kernel_id": "102743324"}, {"ref": "mlaiaus/module-6-meet-neural-networks", "kernel_id": "102750549"}, {"ref": "mlaiaus/module-2-getting-comfortable-with-the-notebook", "kernel_id": "102638923"}, {"ref": "mlaiaus/module-1-warm-welcome", "kernel_id": "102634395"}]}
{"competition_id": "123698", "kernels": []}
{"competition_id": "123722", "kernels": []}
{"competition_id": "123726", "kernels": [{"ref": "l1ghtsource/aikc-idas-comp-baseline", "kernel_id": "101555752"}, {"ref": "nixk1ziby/aikc-idas-comp-baseline", "kernel_id": "104134741"}]}
{"competition_id": "123727", "kernels": [{"ref": "carsoncheng/medical-cost-prediction-lb-0-884-private-0-829", "kernel_id": "101606415"}, {"ref": "carsoncheng/insurance-prediction-baseline", "kernel_id": "101542414"}]}
{"competition_id": "123783", "kernels": []}
{"competition_id": "123788", "kernels": []}
{"competition_id": "123846", "kernels": []}
{"competition_id": "123860", "kernels": []}
{"competition_id": "123895", "kernels": []}
{"competition_id": "123905", "kernels": []}
{"competition_id": "123906", "kernels": []}
{"competition_id": "123909", "kernels": [{"ref": "nikitadikost1/src-code", "kernel_id": "102161221"}]}
{"competition_id": "123966", "kernels": [{"ref": "nikita7364777/dualityai-yolo-detectron2", "kernel_id": "105067519"}, {"ref": "hmnshudhmn24/dualityai-lunateai-geospatial-object-detection", "kernel_id": "105121058"}, {"ref": "wangyiz/a-practical-pipeline-for-geospatial-detection", "kernel_id": "105803489"}, {"ref": "anthonytoffetti/geospatial-obj-detection-yolov8-fail-on-your-feet", "kernel_id": "106329776"}, {"ref": "antonoof/yolo26n-1024", "kernel_id": "108364953"}, {"ref": "antonoof/yolov8n-synthetics-1440", "kernel_id": "108396636"}, {"ref": "antonoof/yolo11n-synthetics-1280", "kernel_id": "108396641"}]}
{"competition_id": "123984", "kernels": [{"ref": "mitchell11/cayleypy-6x6x6-cube-first-steps", "kernel_id": "101993498"}]}
{"competition_id": "123985", "kernels": [{"ref": "mitchell11/cayleypy-7x7x7-cube-first-steps", "kernel_id": "101993491"}]}
{"competition_id": "124016", "kernels": []}
{"competition_id": "124028", "kernels": []}
{"competition_id": "124036", "kernels": []}
{"competition_id": "124038", "kernels": []}
{"competition_id": "124046", "kernels": [{"ref": "nicolasventadoux/ventadoux-kaggle-projetapi2025", "kernel_id": "105566074"}, {"ref": "sachaberthelot/projet-api-sacha-berthelot", "kernel_id": "106496260"}, {"ref": "abates03/api-projet", "kernel_id": "106485741"}, {"ref": "mathieuschellenbaum/schellenbaum-selao-api-projet", "kernel_id": "106645120"}, {"ref": "victorgierlowski/final-notebook-cagipt-i3d-api-projet", "kernel_id": "107552610"}, {"ref": "rmiverdun/projet-kaggle-2025-verdun-remi", "kernel_id": "107391368"}]}
{"competition_id": "124049", "kernels": []}
{"competition_id": "124052", "kernels": []}
{"competition_id": "124054", "kernels": []}
{"competition_id": "124059", "kernels": [{"ref": "johnz123456/code-example-cnn-mlp", "kernel_id": "102091411"}]}
{"competition_id": "124065", "kernels": []}
{"competition_id": "124137", "kernels": [{"ref": "lakhindarpal/hourly-river-streamflow-forecasting", "kernel_id": "116326019"}]}
{"competition_id": "124169", "kernels": [{"ref": "khmiriemna/notebookd90486855f", "kernel_id": "102091293"}, {"ref": "mohamedborhenkhlifi/star-system-classification-with-ml", "kernel_id": "105297314"}, {"ref": "enesyama/starsystemclassification", "kernel_id": "109137012"}]}
{"competition_id": "124171", "kernels": []}
{"competition_id": "124174", "kernels": [{"ref": "braisfontn/notebook3ab5a26245", "kernel_id": "102110360"}, {"ref": "rubenfb/codigo-base", "kernel_id": "102092432"}, {"ref": "adrivv/batches-tras-o-n-y-22-minutacos-de-gpu", "kernel_id": "102110806"}]}
{"competition_id": "124185", "kernels": []}
{"competition_id": "124193", "kernels": []}
{"competition_id": "124239", "kernels": []}
{"competition_id": "124240", "kernels": []}
{"competition_id": "124254", "kernels": []}
{"competition_id": "124295", "kernels": [{"ref": "tugbabulutt/isec-data-challenge-2026", "kernel_id": "106246276"}, {"ref": "vijayaravynthan/shareable-baseline-0-83-lb", "kernel_id": "107065440"}]}
{"competition_id": "124297", "kernels": []}
{"competition_id": "124301", "kernels": []}
{"competition_id": "124307", "kernels": [{"ref": "pedroantonioruizsaa/reto-traveler-insights-utb", "kernel_id": "102620749"}, {"ref": "juliocesartorresa/regresionlogistica", "kernel_id": "102917042"}, {"ref": "javimerca/retoutb", "kernel_id": "103517843"}, {"ref": "nataliaorozcoropero/traveler-utb", "kernel_id": "103484358"}]}
{"competition_id": "124392", "kernels": []}
{"competition_id": "124430", "kernels": []}
{"competition_id": "124431", "kernels": []}
{"competition_id": "124433", "kernels": []}
{"competition_id": "124436", "kernels": []}
{"competition_id": "124440", "kernels": []}
{"competition_id": "124441", "kernels": []}
{"competition_id": "124451", "kernels": []}
{"competition_id": "124459", "kernels": []}
{"competition_id": "124461", "kernels": []}
{"competition_id": "124466", "kernels": []}
{"competition_id": "124480", "kernels": []}
{"competition_id": "124485", "kernels": [{"ref": "hackercoder55/aimanthan", "kernel_id": "102712331"}]}
{"competition_id": "124500", "kernels": [{"ref": "neelen/notebookbf7ef293f8", "kernel_id": "103976895"}, {"ref": "dickfrommountain/compet2", "kernel_id": "105333741"}, {"ref": "lakhindarpal/determine-critical-temperature-of-superconductors", "kernel_id": "114802622"}]}
{"competition_id": "124554", "kernels": [{"ref": "makyriacou/naive-bayes-tfidf-text-clf", "kernel_id": "102593462"}, {"ref": "kunalinfinite/social-media-extremism", "kernel_id": "102683152"}, {"ref": "harrykesh/roberta-modelling-lb-93-866", "kernel_id": "102977404"}, {"ref": "harrykesh/catch-the-extremist-eda-01", "kernel_id": "102949593"}, {"ref": "makyriacou/bert-extremist-clf-0-928", "kernel_id": "103446500"}, {"ref": "harrykesh/deberta-modelling-lb-93-600", "kernel_id": "103380817"}, {"ref": "gauravparkhedkar/socialmedia", "kernel_id": "103088889"}, {"ref": "sangeetha007/naive-bayes1", "kernel_id": "104156625"}, {"ref": "harrykesh/hard-soft-ensemble-cv", "kernel_id": "104548767"}, {"ref": "anthony73/social-media-extremism-detection-using-slp", "kernel_id": "104055940"}, {"ref": "shubhojitnaskar/qwen-finetuning", "kernel_id": "104264242"}, {"ref": "lainnovic/distilbert-baseline-strong-transformer-ml", "kernel_id": "104070762"}, {"ref": "hmnshudhmn24/social-media-extremism-detection-challenge", "kernel_id": "104839930"}, {"ref": "eric15342335/stemming-tf-idf-linearsvm", "kernel_id": "104118912"}, {"ref": "priyamsaha17/extremism-detection-v1", "kernel_id": "105430707"}, {"ref": "miadul/social-media-extremism-detection-nlp-ml", "kernel_id": "105443113"}, {"ref": "gallo33henrique/social-media-extremism-transformrs-bert-nlp", "kernel_id": "105854146"}, {"ref": "tmdofi/ensemble-oof-logits-stacking", "kernel_id": "105857930"}, {"ref": "harrykesh/svm-meta-model-ensemble", "kernel_id": "105615348"}, {"ref": "shubhojitnaskar/qwen-zeroshot", "kernel_id": "105961669"}, {"ref": "ghost575/extremism-detection-with-deberta-roberta", "kernel_id": "105598240"}, {"ref": "wasiqaliyasir/extremism-detection-distilbert-improved-ensemble", "kernel_id": "105971049"}, {"ref": "longtran247/social-media-extremism-detection-challenge", "kernel_id": "105964628"}, {"ref": "mdrehanulbary/rag-extremism-classification", "kernel_id": "105318986"}, {"ref": "mdrehanulbary/social-media-extrimism-detection-classification", "kernel_id": "105787379"}, {"ref": "realtalhacelik/nlp-masterclass-15-strategies-tested", "kernel_id": "105983433"}, {"ref": "ferariz/roberta-base-stratified-cv-seed-ensembling", "kernel_id": "106308701"}, {"ref": "ferariz/deberta-v3-small-with-stratified-k-fold", "kernel_id": "106249363"}, {"ref": "dhrubangtalukdar/high-accuracy-extremism-detection-with-roberta", "kernel_id": "106296761"}, {"ref": "priyamsaha17/extremism-detection-v2-toxic-bert", "kernel_id": "106086338"}, {"ref": "priyamsaha17/extremism-detection-v3-deberta", "kernel_id": "106329689"}, {"ref": "lakhindarpal/social-media-extremism-detection-challenge", "kernel_id": "106284418"}, {"ref": "misterfour/social-media-extremism-detection-challenge", "kernel_id": "106637454"}, {"ref": "rafifariqrabbani/ensemble-method-bert-logistic-regression", "kernel_id": "106090731"}, {"ref": "avikdas567/social-media-extremism-detection-challenge", "kernel_id": "106352784"}, {"ref": "wasiqaliyasir/best-prediction-using-social-media-extermism", "kernel_id": "106323005"}, {"ref": "wasiqaliyasir/direct-submission-prediction-of-social-media", "kernel_id": "106353594"}]}
{"competition_id": "124556", "kernels": []}
{"competition_id": "124561", "kernels": []}
{"competition_id": "124570", "kernels": [{"ref": "angelapalomer/dental-implant-10-year-survival-prediction", "kernel_id": "103610032"}, {"ref": "harharharhar/dental-implant-10-years-lgbm", "kernel_id": "103360866"}]}
{"competition_id": "124573", "kernels": []}
{"competition_id": "124577", "kernels": []}
{"competition_id": "124578", "kernels": []}
{"competition_id": "124581", "kernels": []}
{"competition_id": "124592", "kernels": [{"ref": "kinggior/baseline-audio-demixing-aicc-round-2", "kernel_id": "105683025"}, {"ref": "mdabdulalhasib/using-unet2d-for-audio-demixing", "kernel_id": "130937981"}]}
{"competition_id": "124603", "kernels": []}
{"competition_id": "124611", "kernels": []}
{"competition_id": "124648", "kernels": [{"ref": "dyachenkoanton/notebook8b78319d3c", "kernel_id": "104080062"}]}
{"competition_id": "124660", "kernels": []}
{"competition_id": "124674", "kernels": [{"ref": "hejerayedi/vocal-training-industry-challenge", "kernel_id": "102726003"}]}
{"competition_id": "124680", "kernels": []}
{"competition_id": "124685", "kernels": [{"ref": "juliostat/official-notebook-pc26-tiling-inference", "kernel_id": "108622574"}, {"ref": "angyscoob/cle-plant-getting-started-eda", "kernel_id": "108910391"}, {"ref": "hmnshudhmn24/plantclef2026-lifeclef-cvpr-fgvc", "kernel_id": "108770194"}, {"ref": "lightningv08/official-notebook-pc26-tiling-inference", "kernel_id": "109079860"}, {"ref": "keeplershaurya/plantclef-2026-entropy-guided-identification", "kernel_id": "109532257"}, {"ref": "keeplershaurya/tiled-dinov2-with-weighted-vote-aggregation-tta", "kernel_id": "109534840"}, {"ref": "nabasaikia/plant-pretrained-model", "kernel_id": "109329427"}, {"ref": "mah20050/plantsight-version-zero", "kernel_id": "111198562"}, {"ref": "dennyloevlie/tiling-neuropt-optimization", "kernel_id": "113452145"}, {"ref": "priya2117/dataloading", "kernel_id": "115181518"}, {"ref": "poco34/plantsight-version-zero", "kernel_id": "116362194"}, {"ref": "payaldhokane/plantclef", "kernel_id": "118224991"}]}
{"competition_id": "124696", "kernels": []}
{"competition_id": "124732", "kernels": [{"ref": "souhaabidat/guided-notebook", "kernel_id": "102807830"}]}
{"competition_id": "124749", "kernels": []}
{"competition_id": "124755", "kernels": []}
{"competition_id": "124767", "kernels": []}
{"competition_id": "124778", "kernels": []}
{"competition_id": "124782", "kernels": []}
{"competition_id": "124802", "kernels": []}
{"competition_id": "124804", "kernels": [{"ref": "roujihlaktineh/insurance-comp-eda", "kernel_id": "105417570"}]}
{"competition_id": "124815", "kernels": [{"ref": "ravi20076/bankruptcy2025-baseline-v1", "kernel_id": "102941246"}, {"ref": "kentak0928/host-baseline-lightgbm-bankruptcy-risk", "kernel_id": "102922950"}, {"ref": "hmnshudhmn24/predicting-bankruptcy-risk", "kernel_id": "107651535"}]}
{"competition_id": "124827", "kernels": []}
{"competition_id": "124833", "kernels": []}
{"competition_id": "124844", "kernels": []}
{"competition_id": "124845", "kernels": [{"ref": "hmnshudhmn24/onia-2", "kernel_id": "110418691"}]}
{"competition_id": "124847", "kernels": [{"ref": "ivanhabib/baseline-notebook", "kernel_id": "103221515"}, {"ref": "hmnshudhmn24/the-martingale-winter-2025-edition", "kernel_id": "109283910"}, {"ref": "marionaia/notebooka042f33d0d", "kernel_id": "110886997"}, {"ref": "oviyaramakrishnasamy/notebook1a9347cd95", "kernel_id": "110877699"}, {"ref": "sinhazitihsk/cmos-pred", "kernel_id": "110909664"}, {"ref": "venkatagummidi/martingale-submission", "kernel_id": "110797924"}, {"ref": "obstract2005/final-submission-martingale", "kernel_id": "110816343"}, {"ref": "asmaaga/0-14481-0-14469", "kernel_id": "116202854"}]}
{"competition_id": "124849", "kernels": []}
{"competition_id": "124868", "kernels": []}
{"competition_id": "124876", "kernels": [{"ref": "lakhindarpal/itmo-hdu-flat-price-prediction-2025-2026", "kernel_id": "114405888"}]}
{"competition_id": "124879", "kernels": []}
{"competition_id": "124887", "kernels": []}
{"competition_id": "124907", "kernels": []}
{"competition_id": "124968", "kernels": [{"ref": "carsoncheng/ioai-2025-gaite-task5-baseline", "kernel_id": "103179948"}, {"ref": "carsoncheng/solution-1-ioai-2025-gaite-task5", "kernel_id": "104374358"}]}
{"competition_id": "125000", "kernels": [{"ref": "hmnshudhmn24/pestclef-lifeclef-2026", "kernel_id": "110050479"}, {"ref": "mpwolke/pestclef-2026-tomatos-bananas", "kernel_id": "112973842"}]}
{"competition_id": "125004", "kernels": []}
{"competition_id": "125005", "kernels": []}
{"competition_id": "125007", "kernels": []}
{"competition_id": "125018", "kernels": []}
{"competition_id": "125032", "kernels": []}
{"competition_id": "125107", "kernels": []}
{"competition_id": "125114", "kernels": [{"ref": "shaoqipei/notebooka0149c0d80", "kernel_id": "106584261"}]}
{"competition_id": "125116", "kernels": []}
{"competition_id": "125128", "kernels": []}
{"competition_id": "125133", "kernels": [{"ref": "snehachandra006/third", "kernel_id": "103389743"}, {"ref": "snehachandra006/surprise-test", "kernel_id": "103441771"}]}
{"competition_id": "125141", "kernels": [{"ref": "clyde1114/615557-practice03-sample", "kernel_id": "103257468"}]}
{"competition_id": "125145", "kernels": []}
{"competition_id": "125147", "kernels": []}
{"competition_id": "125164", "kernels": []}
{"competition_id": "125165", "kernels": []}
{"competition_id": "125170", "kernels": [{"ref": "aguschin/baseline-for-those-who-want-to-get-a-shengen-visa", "kernel_id": "103405676"}, {"ref": "sigmaborov/timeseries-classification-top-1-solve", "kernel_id": "103533300"}]}
{"competition_id": "125182", "kernels": []}
{"competition_id": "125192", "kernels": [{"ref": "hipznguyen/notebook0a8999c5b7", "kernel_id": "103249832"}, {"ref": "johnkihoro/fraud-detection-bank-notes-prediction", "kernel_id": "104826010"}, {"ref": "nadaarfaoui/heart-failure-prediction-project", "kernel_id": "105500576"}, {"ref": "atifkhan12/heart-disease-prediction", "kernel_id": "105106991"}, {"ref": "maheshmunnuru/heart-disease-prediction-with-gpu-under-3-minutes", "kernel_id": "107938470"}, {"ref": "edisonjiang67/heart-disease-prediction-classification-project", "kernel_id": "107378475"}, {"ref": "christph/pg-s6-e2-autogluon-automl", "kernel_id": "108592996"}, {"ref": "adaubas/pss6e02-logistic-cv-0-95505-oof", "kernel_id": "108438543"}, {"ref": "onodera/s6e02-gpu-accelerated-gbdt-benchmark", "kernel_id": "108745099"}, {"ref": "abisheksrivastav/predicting-heart-disease-xgb", "kernel_id": "108922929"}, {"ref": "taimour/multiple-models-for-heart-disease-eda", "kernel_id": "108423268"}, {"ref": "lucabasa/s06e02-heart-disease", "kernel_id": "108583936"}, {"ref": "sword4949/predicting-heart-disease-ver-2", "kernel_id": "108515690"}, {"ref": "sword4949/predicting-heart-disease", "kernel_id": "108434705"}, {"ref": "docxian/ps-s6-e02-predicting-heart-disease", "kernel_id": "108460185"}, {"ref": "jimmycool/fuzzy-neural-network-heart-disease-prediction", "kernel_id": "108885698"}, {"ref": "ryzhokhina/s6-e2-eda", "kernel_id": "108734902"}, {"ref": "include4eto/single-xgb-cudf-pseudo-labels-cv-0-95573", "kernel_id": "108555529"}, {"ref": "include4eto/tabm-cv-0-95565", "kernel_id": "108636779"}, {"ref": "sakuno/heart-disease-eda-rfecv-optuna-xgb", "kernel_id": "108529165"}, {"ref": "sakuno/s6e2-eda-fe-cat-cv-ensemble", "kernel_id": "108558885"}, {"ref": "mmalam/regression-plus-eda-output", "kernel_id": "108854982"}, {"ref": "cdeotte/basic-eda-predicting-heart-disease", "kernel_id": "108484601"}, {"ref": "obiaf88/s6e2-heart-disease-pytorch-model", "kernel_id": "108981667"}, {"ref": "makrrc/0-95239-s0602-predicting-heart-disease", "kernel_id": "108485101"}, {"ref": "wesleyhuan/baseline-xgb-season-6-episode-2", "kernel_id": "108572345"}, {"ref": "wesleyhuan/basic-eda-season-6-episode-2", "kernel_id": "108449742"}, {"ref": "stpeteishii/heart-disease-mlp-w-tpu", "kernel_id": "108502050"}, {"ref": "stpeteishii/heart-disease-prediction-w-best-model", "kernel_id": "108502631"}, {"ref": "stpeteishii/heart-disease-autogluon", "kernel_id": "108521926"}, {"ref": "stpeteishii/heart-disease-tabulartransformer-w-tpu", "kernel_id": "108575059"}, {"ref": "stpeteishii/heart-disease-residual-mlp-w-tpu", "kernel_id": "108575674"}, {"ref": "stpeteishii/heart-disease-lgbm-w-lgbm-native-api", "kernel_id": "108699554"}, {"ref": "stpeteishii/heart-disease-lgbm-w-scikit-learn-api", "kernel_id": "108699674"}, {"ref": "stpeteishii/heart-disease-pipeline-to-assess-data-sufficiency", "kernel_id": "108728934"}, {"ref": "stpeteishii/heart-disease-randomforest", "kernel_id": "108970523"}, {"ref": "stpeteishii/heart-disease-catboost-w-catboost-native-api", "kernel_id": "108912809"}, {"ref": "stpeteishii/heart-disease-xgboost-w-xgboost-native-api", "kernel_id": "108913333"}, {"ref": "jokerinthapack/s6e2-basic-eda-fe", "kernel_id": "108470634"}, {"ref": "ferariz/cv-baseline-robust-gbdt-lightweight-blend", "kernel_id": "108905836"}, {"ref": "mpwolke/cardiovascular-disease-likelihood", "kernel_id": "108422872"}, {"ref": "kumarkatariya/predicting-heart-disease-baseline-simple", "kernel_id": "108432353"}, {"ref": "catadanna/eda-heart-disease", "kernel_id": "108913034"}, {"ref": "aishwaryasharma1992/ps6e2-heart-disease-prediction", "kernel_id": "108953796"}, {"ref": "xjoannax88/heart-disease-prediction-eda", "kernel_id": "108518527"}, {"ref": "xjoannax88/baseline-starter-prediction-catboost-0-95367", "kernel_id": "108951934"}, {"ref": "jcnokcesar/simple-efficient-xgboost-with-optuna-tuning", "kernel_id": "108638109"}, {"ref": "swas06/heartdisease-xgbclassifier", "kernel_id": "108920533"}, {"ref": "swas06/heartdisease-lightgbm", "kernel_id": "108773703"}, {"ref": "swas06/heartdisease-eda", "kernel_id": "108625157"}, {"ref": "sourabhy/s6e2-eda-ensemble-with-xgb-lgbm-catboost", "kernel_id": "108456688"}, {"ref": "azzamradman/0226-blend-the-blender-do-it-the-hard-way", "kernel_id": "108848552"}, {"ref": "azzamradman/easy-to-tune-dnn-keras", "kernel_id": "108719765"}, {"ref": "azzamradman/single-catboost-optuna", "kernel_id": "108690574"}, {"ref": "azzamradman/clean-baseline-xgb-cb-lgbm-dnn-stacking", "kernel_id": "108423147"}, {"ref": "azzamradman/single-lgbm-optuna", "kernel_id": "108635147"}, {"ref": "azzamradman/single-xgb-optuna", "kernel_id": "108613892"}, {"ref": "deeguy/heart-disease-predictions-a-pipeline", "kernel_id": "108913160"}, {"ref": "udaken10/first-look-without-eda", "kernel_id": "108623548"}, {"ref": "udaken10/votingclassification", "kernel_id": "108570948"}, {"ref": "udaken10/voting-classifier", "kernel_id": "108581202"}, {"ref": "udaken10/get-dummy-sss", "kernel_id": "108837785"}, {"ref": "udaken10/new-feature", "kernel_id": "108868895"}, {"ref": "udaken10/search", "kernel_id": "108970741"}, {"ref": "udaken10/auc-score", "kernel_id": "108969671"}, {"ref": "udaken10/waiting-for-best-model-for-ever", "kernel_id": "108974567"}, {"ref": "josephnehrenz/s6e2-xgb-catboost-to-predict-heart-disease", "kernel_id": "108914168"}, {"ref": "shpatrickguo/s6e2-tree-ensemble-clinical-interactions", "kernel_id": "108886498"}, {"ref": "samithsachidanandan/predict-heart-disease-multimodel-ensem-lb-0-95336", "kernel_id": "108447841"}, {"ref": "samithsachidanandan/predict-heart-disease-catboost-single-model", "kernel_id": "108984399"}, {"ref": "jimgruman/heart-disease", "kernel_id": "108428801"}, {"ref": "thrmlpwrd/heart-disease-linear-regression", "kernel_id": "108480783"}, {"ref": "sagarrathore/heart-diease-probability-prediction", "kernel_id": "108525664"}, {"ref": "aleksadamjanovic/predicting-heart-disease-lgb-optuna-rfecv", "kernel_id": "108794168"}, {"ref": "berkayzkan/xgb-baseline-model-with-optuna", "kernel_id": "108694195"}, {"ref": "mohitsharma93/heart-disease-train-auc-0-9500-val-auc-0-9512", "kernel_id": "108896285"}, {"ref": "conradkleykamp/predicting-heart-disease-lgbm", "kernel_id": "108536199"}, {"ref": "frankchuka/heart-disease-prediction", "kernel_id": "108697604"}, {"ref": "barbagrande007/bbg007-heartdisease-stacking-lgbm-histgboost-lr", "kernel_id": "108753625"}, {"ref": "nicholaspellegrin/s6e2-playground", "kernel_id": "108718432"}, {"ref": "ravi20076/playgrounds6e2-public-baseline-v1", "kernel_id": "108472644"}, {"ref": "ravi20076/playgrounds6e2-public-baseline-v2", "kernel_id": "108479255"}, {"ref": "ravi20076/playgrounds6e2-public-imports-v1", "kernel_id": "108479068"}, {"ref": "masanakashima/s6e2-heart-disease-top1-multi-seed", "kernel_id": "108432396"}, {"ref": "masanakashima/s6e2-cardiology-driven-ml-gpu-trinity", "kernel_id": "108430881"}, {"ref": "janringling/s6-e2-jan", "kernel_id": "108762368"}, {"ref": "d1ffic00lt/0-95387-catboost-xgboost-lgbm", "kernel_id": "108511961"}, {"ref": "randomplayer606/disease-probability-model-feature-analysis", "kernel_id": "108642888"}, {"ref": "omidbaghchehsaraei/autogluon-predicting-heart-disease-oof-0-95557", "kernel_id": "108667251"}, {"ref": "omidbaghchehsaraei/catboost-predicting-heart-disease-cv-0-95566", "kernel_id": "108547444"}, {"ref": "omidbaghchehsaraei/tabm-predicting-heart-disease-cv-0-95553", "kernel_id": "108436256"}, {"ref": "omidbaghchehsaraei/the-best-solo-model-so-far-realmlp-lb-0-95397", "kernel_id": "108897242"}, {"ref": "omidbaghchehsaraei/resnet-predicting-heart-disease-lb-0-95385", "kernel_id": "108977468"}, {"ref": "hyzentech/phd-pss6e2", "kernel_id": "108494439"}, {"ref": "thuandao/predicting-heart-disease-eda-ma", "kernel_id": "108536275"}, {"ref": "rohanrathod02/heart-disease-mlp-catboost-lb-95390", "kernel_id": "108432145"}, {"ref": "rohanrathod02/heart-disease-adv-fe-xgb-lgbm-ensemble", "kernel_id": "108514174"}, {"ref": "hermengardo/ps6e2-eda-ensembling", "kernel_id": "108426432"}, {"ref": "rohansardar/s6e2-predict-heart-disease-xgb", "kernel_id": "108432363"}, {"ref": "aryansinha2003/beginner-stacking-ensemble-rf-dt-xgb-95-2", "kernel_id": "108923030"}, {"ref": "mariusborel/xgboost-predict-disease", "kernel_id": "108458947"}, {"ref": "mariusborel/catboost-predict-desease", "kernel_id": "108422964"}, {"ref": "mariusborel/lgbm-predict-disease", "kernel_id": "108533094"}, {"ref": "mariusborel/voting-on-heart-disease", "kernel_id": "108755550"}, {"ref": "mariusborel/bagging-on-heart-disease", "kernel_id": "108810129"}, {"ref": "tungnhitran/ps6e2-ensemble-xgboost-lightgbm-catboost", "kernel_id": "108524552"}, {"ref": "kawaharataishi/s6e2-base-line", "kernel_id": "108461180"}, {"ref": "debalinamitra/heart-disease-prediction", "kernel_id": "108584024"}, {"ref": "khoatran311/inference-on-training-data-with-glm-and-gam", "kernel_id": "108471365"}, {"ref": "jatin2055/heart-disease-eda-fe", "kernel_id": "108742165"}, {"ref": "masayakawamata/experiments-with-numerical-embeddings", "kernel_id": "108645788"}, {"ref": "masayakawamata/s6e2-cv-split-experiment", "kernel_id": "108746523"}, {"ref": "masayakawamata/s6e2-single-realmlp", "kernel_id": "108870644"}, {"ref": "harharharhar/s6e2-heart-diseases-xgb-0-953", "kernel_id": "108443062"}, {"ref": "sharmajicoder/pytorch-solution-neural-networks-s6e2", "kernel_id": "108453584"}, {"ref": "sharmajicoder/single-cell-solution-s6e2-0-95347", "kernel_id": "108680493"}, {"ref": "arraylist1402/heart-disease-eda", "kernel_id": "108889476"}, {"ref": "varadvaste/heart-disease-eda-nn-with-optuna-fine-tuning", "kernel_id": "108945964"}, {"ref": "vh10935cse20/predicting-heart-disease-catboost", "kernel_id": "108533040"}, {"ref": "vh10935cse20/predicting-heart-disease-lgbm", "kernel_id": "108697705"}, {"ref": "carloscll/feb-08th-2026", "kernel_id": "108987665"}, {"ref": "basselashraf/predicting-heart-disease-s6e2", "kernel_id": "108628314"}, {"ref": "amrmohamed898/heart-disease-eda-models-ensemble-0-95-auc", "kernel_id": "108967730"}, {"ref": "vanpatangan/heart-disease-prediction", "kernel_id": "108955104"}, {"ref": "eu1234/ensemble-cv-oof-test-preds-made-easy", "kernel_id": "108449277"}, {"ref": "naoyamaro/predicting-heart-disease-lgbm-baseline", "kernel_id": "108439123"}, {"ref": "gizemnalbantarslan/pg-s6b2-eda", "kernel_id": "108525391"}, {"ref": "lishachaudhari/ps-s6-ep2-blending-xgb-lightgbm-optuna-tunned", "kernel_id": "108660146"}, {"ref": "itasps/predictingheartdiseasexgboostwithoptuna-ensemble", "kernel_id": "108698235"}, {"ref": "itasps/predicting-heart-disease-ensemble", "kernel_id": "108659399"}, {"ref": "chovyxu/playgrounds2026-ep2", "kernel_id": "108430347"}, {"ref": "darkdevil18/0-95374-is-your-heart-strong", "kernel_id": "108452239"}, {"ref": "nickkatsarelas/heart-disease", "kernel_id": "108484158"}, {"ref": "yashsachan4yrbtech/heart-disease-cb-lgb-xg-optuna-score-0-95383", "kernel_id": "108783868"}, {"ref": "xndrfd/predicting-heart-disease-by-xndrf", "kernel_id": "108898233"}, {"ref": "vinodkumargurjar/pytabkit-zero-tuning-0-95349", "kernel_id": "108519176"}, {"ref": "kava1/s6e2-lightgbm-optuna-original-data-integration", "kernel_id": "108430942"}, {"ref": "belbino/qlora-fine-tuning-predicting-heart-disease", "kernel_id": "108691189"}, {"ref": "benzonsalazar/ps-s6e2-01-eda", "kernel_id": "108488720"}, {"ref": "nathanmutakyawa/ps6-ep2-modeling-submission-v4", "kernel_id": "108824015"}, {"ref": "nathanmutakyawa/ps6-ep2-modeling-submission-v5", "kernel_id": "108818195"}, {"ref": "lmanojsai/ml-showdown-xgboost-vs-neural-networks", "kernel_id": "108452139"}, {"ref": "michaelkamal92/try-models", "kernel_id": "108422827"}, {"ref": "abbas829/heart-disease-prediction", "kernel_id": "108966793"}, {"ref": "kkittywong/predicting-heart-disease-2", "kernel_id": "108788318"}, {"ref": "evgendvorkin/xg-lg-cb-stacking-ridge-0-95355", "kernel_id": "108456035"}, {"ref": "mahmudulmadu/heartdiseasepred-xgboost-baseline", "kernel_id": "108588100"}, {"ref": "amri11/predicting-heart-disease-prediction", "kernel_id": "108427294"}, {"ref": "errajanikantawasthi/rkawasthi00000", "kernel_id": "108520153"}, {"ref": "metamadyeth/ml-case-study-heart-disease-prediction", "kernel_id": "108811649"}, {"ref": "sdeogade/heart-disease-catboost-0-9555", "kernel_id": "108632941"}, {"ref": "mikhailnaumov/heart-disease-ensemble", "kernel_id": "108436852"}, {"ref": "dbswws/heart-disease", "kernel_id": "108774777"}, {"ref": "eastonlarson/prediction-heart-disease", "kernel_id": "108850506"}, {"ref": "rishabhkannaujiya/heart-disease-advanced-eda-baseline-xgb", "kernel_id": "108525628"}, {"ref": "kingkcabir/ht-dis", "kernel_id": "108759207"}, {"ref": "anthonytherrien/predicting-heart-disease-blend", "kernel_id": "108960909"}, {"ref": "nishant30488/ps6-2-eda-k-fold-xgboost", "kernel_id": "108432789"}, {"ref": "cheerathaniketh/s6-e2-heart-disease", "kernel_id": "108804511"}, {"ref": "abdmental01/predicting-heart-disease-abdbase", "kernel_id": "108476027"}, {"ref": "ashwinmahawar/s6e2-multi-level-model-approach", "kernel_id": "108444986"}, {"ref": "ashwinmahawar/hd-pred-xgb-cat-with-multiple-seeds", "kernel_id": "108732149"}, {"ref": "mehmetsel/lgbm-baseline-model-0-95262", "kernel_id": "108491945"}, {"ref": "westoon/pg-6-2-eda-heart-disease", "kernel_id": "108521463"}, {"ref": "kanakos/s6e2-baseline-0204", "kernel_id": "108646706"}, {"ref": "safar1/top-20-guaranted", "kernel_id": "108697745"}, {"ref": "sudhanvahg/heart-disease-probability-prediction", "kernel_id": "108516510"}, {"ref": "gfiuea/heart-disease-prediction-xgboost-with-optuna-0-953", "kernel_id": "108462092"}, {"ref": "petrumihaicraciun/xgboost-tutorial", "kernel_id": "108868140"}, {"ref": "ashishk1331/predicting-heart-disease-xgb-lgb", "kernel_id": "108445397"}, {"ref": "yudainogata/heart-disease-prediction-with-stacking-ensemble", "kernel_id": "108432973"}, {"ref": "tomasa2/eda-baseline-models-lr-xgboost-catboost", "kernel_id": "108524102"}, {"ref": "andrewbnord/predicting-heart-disease-eda", "kernel_id": "108612340"}, {"ref": "gourabr0y555/0-95-stacked-ensemble-learning", "kernel_id": "108463882"}, {"ref": "lakhindarpal/predicting-heart-disease-eda-ensemble", "kernel_id": "108425352"}, {"ref": "iamnotindangerskyler/reverse-engineered-logistic-features-advanced-fe", "kernel_id": "108460012"}, {"ref": "angyscoob/3-disease-tabm-xgb-lgb-cat-manual-features", "kernel_id": "108550711"}, {"ref": "angyscoob/heart-predictions-tabm-trees-combined", "kernel_id": "108482361"}, {"ref": "koushikkumardinda/predicting-heart-disease", "kernel_id": "108427146"}, {"ref": "kirikiti/pca-logistic-e6s2", "kernel_id": "108607736"}, {"ref": "kirikiti/gmm-with-boosting-e6s2", "kernel_id": "108512356"}, {"ref": "kirikiti/e6s2-class-logistic-reg-onehot", "kernel_id": "108531918"}, {"ref": "vidushianand09/complete-ml-pipeline-eda-cv-ensemble-for-heart", "kernel_id": "108460194"}, {"ref": "suhanigupta04/heart-disease-prediction-ensemble", "kernel_id": "108624968"}, {"ref": "poojakuniyal/heartdiseaseprediction", "kernel_id": "108461032"}, {"ref": "faresls/heart-disease-prediction-xgb-catboost-ensemble", "kernel_id": "108621551"}, {"ref": "keyadobriyal/predicting-heart-disease-ensemble", "kernel_id": "108455345"}, {"ref": "keyadobriyal/catboost-kfold", "kernel_id": "108946900"}, {"ref": "haeako/heart-xgb-lightgbm-catb-baseline-k-fold", "kernel_id": "108771682"}, {"ref": "cartoonistbeard/s6e2-eda-single-xgb-cv-0-955-lb-0-95341", "kernel_id": "108449866"}, {"ref": "adamthomas11/s6e2-predicting-heart-disease-eda", "kernel_id": "108464950"}, {"ref": "nguynvminhthin/predicting-heart-disease", "kernel_id": "108531794"}, {"ref": "marawaneslam/predicting-heart-disease-competition", "kernel_id": "108761588"}, {"ref": "aromaldileep/heart-disease-prediction-cv-driven-ensemble", "kernel_id": "108659469"}, {"ref": "badalkrsharma/the-best-score-0-955234", "kernel_id": "108513973"}, {"ref": "parthzadeshwariya/predicting-heart-disease", "kernel_id": "108527393"}, {"ref": "pushpgarg/the-most-detailed-eda-on-playground-s6e2", "kernel_id": "108922841"}, {"ref": "pushpgarg/comparing-multiple-top-models-score-0-95379", "kernel_id": "108929790"}, {"ref": "rohit8527kmr7518/heart-disease-risk-classification-eda", "kernel_id": "108433072"}, {"ref": "fall2fire/heart-disease-prediction-heart-attack-xgb", "kernel_id": "108463833"}, {"ref": "bahaenesren/heart-predict", "kernel_id": "108965055"}, {"ref": "muhammaddanyalmalik/predicting-heart-prob", "kernel_id": "108625337"}, {"ref": "muhammaddanyalmalik/end-to-end-ml-pipeline", "kernel_id": "108786586"}, {"ref": "muhammaddanyalmalik/lgbmclassifier-xgbclassifier-tabnetclassifier", "kernel_id": "108953236"}, {"ref": "labibshahriar/ps6e2-xgb-lgb-cb-stack", "kernel_id": "108436521"}, {"ref": "faustinerodgerspius/heart-disease-prediction-s6e2-ipynb", "kernel_id": "108740615"}, {"ref": "tusharbhardwaj0409/s06e02", "kernel_id": "108443925"}, {"ref": "mridul990601/s6e2-pytorch-nn", "kernel_id": "108426474"}, {"ref": "mridul990601/s6e2-xgboost-stratified-k-fold", "kernel_id": "108909110"}, {"ref": "arkatkhasanov/0-95425-xgb-lgb-cat-ensemble", "kernel_id": "108442984"}, {"ref": "nikitakuznetsof/ps6e2-catboost-is-all-you-need", "kernel_id": "108534703"}, {"ref": "harrykesh/anybody-needs-a-good-eda", "kernel_id": "108533248"}, {"ref": "harrykesh/first-solution-xgb-stacking-lb-0-95384", "kernel_id": "108607203"}, {"ref": "ziadkassem/heart-disease", "kernel_id": "108467888"}, {"ref": "shawneilrodrigues/heart-disease-prediction-eda", "kernel_id": "108530830"}, {"ref": "shawneilrodrigues/predicting-heart-disease-tabnet", "kernel_id": "108661659"}, {"ref": "xixama/heart-disease-single-shot-xgb", "kernel_id": "108596563"}, {"ref": "alanamonks/xgb-lgb-options-w-optuna-tuning-disease", "kernel_id": "108481288"}, {"ref": "bilalshabbir1/heart-disease-prediction", "kernel_id": "108768655"}, {"ref": "elasgustavoknaus/interpretation-of-a-logistic-regression-model-s6e2", "kernel_id": "108916344"}, {"ref": "suvidyasonawane/heart-disease-prediction-model", "kernel_id": "108578080"}, {"ref": "castilloangelo/neural-network-tensorflow-auc-0-9529", "kernel_id": "108798328"}, {"ref": "dureyashfeen/heart-disease-prediction", "kernel_id": "108547876"}, {"ref": "debanganghosh/ps-s6e2-3", "kernel_id": "108755853"}, {"ref": "yusufmurtaza01/s6-e2-eda-training", "kernel_id": "108429948"}, {"ref": "yusufmurtaza01/s6e2-blend", "kernel_id": "108453154"}, {"ref": "obosrish/eda-fe-mlp-blend-private-0-95529", "kernel_id": "108474252"}, {"ref": "mangeshsanjaylavate/heart-disease-prediction", "kernel_id": "108670138"}, {"ref": "vivekumar001/heart-disease-exploratory-data-analysis", "kernel_id": "108445188"}, {"ref": "vivekumar001/heart-disease-with-lightgbm-catboost-0-95334", "kernel_id": "108610627"}, {"ref": "vivekumar001/heart-disease-with-lightgbm", "kernel_id": "108689504"}, {"ref": "moridata/predicting-heart-disease-full-eda", "kernel_id": "108950540"}, {"ref": "ahmaddanyal347/heart-disease-ensemble-xgb-rf-mlp", "kernel_id": "108526607"}, {"ref": "umairkhalil2002/predicting-heart-disease", "kernel_id": "108657393"}, {"ref": "sonalshinde123/ps-s6e2-heart-disease-prediction-1", "kernel_id": "108445988"}, {"ref": "kushvinthmadhavan/top-100-reasoning-eda", "kernel_id": "108785900"}, {"ref": "rattans/xgboost-logistic-regression-cv-0-95556-s6e2", "kernel_id": "108451535"}, {"ref": "rattans/cardiovascular-risk-factors", "kernel_id": "108427731"}, {"ref": "rattans/logistic-regression-ps-s6e2", "kernel_id": "108623214"}, {"ref": "gehadabdulaziz/multi-models-for-heart-disease-prediction", "kernel_id": "108998020"}, {"ref": "vishwabarade/predicting-heart-disease-ann", "kernel_id": "108530041"}, {"ref": "saharshmaddi/ps6e2-heart-disease", "kernel_id": "108458224"}, {"ref": "uurszer/notebook960afb2e1b", "kernel_id": "108527158"}, {"ref": "kodaifukuda0311/heart-disease-te-fe-lgbm-xgb-lb0-95371", "kernel_id": "108733464"}, {"ref": "iwayansatya/s6e2-kaggle-playground-xgb-for-newbie", "kernel_id": "108440242"}, {"ref": "yashdev01/predicting-heart-disease", "kernel_id": "108510297"}, {"ref": "manasi197/s6e21-catboost-k-fold-0-95390", "kernel_id": "108540272"}, {"ref": "manasi197/s6e21-xgboost-lightbgm-catboost", "kernel_id": "108826764"}, {"ref": "avi70687/xgboost-catboost-first-notebook", "kernel_id": "108436416"}, {"ref": "i0nlyaziz/predicting-heart-disease-xgb-fe", "kernel_id": "108836271"}, {"ref": "amritanshukush/heart-disease-nn", "kernel_id": "108765947"}, {"ref": "amritanshukush/s6e2-eda-lightgbm", "kernel_id": "108468945"}, {"ref": "pieego/te-xg-cat-upd-0-95390-0-00013", "kernel_id": "108970563"}, {"ref": "coadanas/playground-series-s6e2-heart-disease-predction", "kernel_id": "108697006"}, {"ref": "syedmuhammadbilal12/playground-series-s6e2", "kernel_id": "108693057"}, {"ref": "furkangazidinler/predicting-heart-disease", "kernel_id": "108595366"}, {"ref": "satokin13m/s6e2-multi-seeds-realmlp", "kernel_id": "108809333"}, {"ref": "skarin/checking-heart-with-trees-not-stethoscopes", "kernel_id": "108537363"}, {"ref": "skarin/s6e2-leakage-checks-mi-and-hgb", "kernel_id": "108450459"}, {"ref": "aiexplorer77/heart-disease-prediction", "kernel_id": "108611037"}, {"ref": "nareshmeena12/clean-xgboost-baseline", "kernel_id": "108519714"}, {"ref": "nareshmeena12/lightbgm", "kernel_id": "108463472"}, {"ref": "zaouiyassine/xgb-lgb-stacking-s6e2", "kernel_id": "108456430"}, {"ref": "zaouiyassine/classic-train-val-split-rather-then-k-cv", "kernel_id": "108540711"}, {"ref": "nabasaikia/heart-disease", "kernel_id": "108772719"}, {"ref": "ttteein/predicting-heart-disease", "kernel_id": "108879072"}, {"ref": "gurusingh1834/heart-disease-pred", "kernel_id": "108508533"}, {"ref": "devrajsaini/predicting-heart-disease-0-9512", "kernel_id": "108893504"}, {"ref": "kiranpal18/advance-eda-and-boosting", "kernel_id": "108438868"}, {"ref": "jieuna1/ps-s6e2-tabm-optuna-full-pipeline", "kernel_id": "108487267"}, {"ref": "rhythmghai/playground-s6e2-lightgbm-multiseed", "kernel_id": "108828482"}, {"ref": "rhythmghai/playground-s6e2-lgb-xgb-lr-ensemble", "kernel_id": "108791758"}, {"ref": "simarbirsinghsandhu/logistic-regression-with-cuml-gpu-s6e2", "kernel_id": "108771998"}, {"ref": "olaflundstrom/dtu-compute-kps-season-6-episode-2", "kernel_id": "108471309"}, {"ref": "olaflundstrom/kaggle-playground-series-season-6-episode-2", "kernel_id": "108447642"}, {"ref": "olaflundstrom/notebook3af2a6faa9", "kernel_id": "108606651"}, {"ref": "divyapriya455/heart-disease-analysis-contest", "kernel_id": "108469895"}, {"ref": "albab12/top-360-solution", "kernel_id": "108606087"}, {"ref": "anilabukhari/heart-disease-risk-prediction-eda-ml-pipeline", "kernel_id": "108467722"}, {"ref": "ranjeethamallick/notebookb6986a3691", "kernel_id": "108947681"}, {"ref": "junesdata/eda-random-forest-baseline-notebook", "kernel_id": "108422888"}, {"ref": "junesdata/xgboost-shap-0-89-auc-detailed-eda", "kernel_id": "108458299"}, {"ref": "junesdata/learning-julia-logreg-xgboost-blend", "kernel_id": "108837699"}, {"ref": "junesdata/heart-disease-prediction-lr-lightgbm-0-95376", "kernel_id": "108715748"}, {"ref": "canozensoy/ps-s6e2-leakage-free-cv-rank-stable-inference", "kernel_id": "108775964"}, {"ref": "gustavohuss/s6e2-complete-eda", "kernel_id": "108461263"}, {"ref": "avikdas567/catboost-lightgbm-ensemble-for-heart-disease", "kernel_id": "108762530"}, {"ref": "moonlittail/heart-disease-competition", "kernel_id": "108902931"}, {"ref": "abhinabbudhachheri/s6e2-simple-eda", "kernel_id": "108446095"}, {"ref": "samikshabansal/predicting-heart-disease-0-95360", "kernel_id": "108600027"}, {"ref": "samikshabansal/optimized-lightgbm-advanced-xgboost", "kernel_id": "108601987"}, {"ref": "samikshabansal/optimized-ensemble-xgboost-lightgbm", "kernel_id": "108690595"}, {"ref": "devanshshukla123/heart-disease", "kernel_id": "108459784"}, {"ref": "kospintr/heart-xgb-lightgbm-catb-baseline-k-fold", "kernel_id": "108432863"}, {"ref": "sohailkhanlml/predicting-heart-disease-with-xgb-lgb-catboost", "kernel_id": "108737428"}, {"ref": "rajansavaliya22/heart-disease-prediction-using-catboost", "kernel_id": "108962370"}, {"ref": "daoviet/s6e2-eda-models-0-953", "kernel_id": "108539563"}, {"ref": "ianteigen/s6e2-predicting-heart-disease-eda-blend", "kernel_id": "108482571"}, {"ref": "palaktrivedi/predicting-heart-disease", "kernel_id": "108810993"}, {"ref": "sharmagayatri/predicting-heart-disease", "kernel_id": "108593762"}, {"ref": "aymankhan555/heart-risk-xgb-smart-fe-optuna", "kernel_id": "108912376"}, {"ref": "aymankhan555/heart-disease-prediction", "kernel_id": "108850559"}, {"ref": "cosmicescape/elite-heart-disease-prediction-pipeline", "kernel_id": "108609647"}, {"ref": "cosmicescape/heart-disease-prediction-r2-tabular-playground", "kernel_id": "108461579"}, {"ref": "syedfarazhussaini/2026feb-prediciting-heart-disease", "kernel_id": "108433278"}, {"ref": "emircansoftware/heart-diease-probability-prediction", "kernel_id": "108449163"}, {"ref": "valarmorghulis30/heart-disease-2026-notebook", "kernel_id": "108455949"}, {"ref": "mizeroluckygall/heart-optuna-tuning-lightgbm-xgboost-combined", "kernel_id": "108474934"}, {"ref": "sumitchavhan7/predicting-heart-disease", "kernel_id": "108443129"}, {"ref": "palpawan12/heart-disease-with-logistic-regression", "kernel_id": "108784955"}, {"ref": "kumarshrid/predicting-heart-disease-xgb-optuna-stacking", "kernel_id": "108443586"}, {"ref": "nina2025/ps-s6e2-5", "kernel_id": "108872672"}, {"ref": "nina2025/ps-s6e2-4", "kernel_id": "108785158"}, {"ref": "nina2025/ps-s6e2-3", "kernel_id": "108726080"}, {"ref": "nina2025/ps-s6e2-micro-eda", "kernel_id": "108424358"}, {"ref": "nina2025/ps-s6e2-1974-1", "kernel_id": "108507025"}, {"ref": "nina2025/ps-s6e2-hb1g", "kernel_id": "108442236"}, {"ref": "murtazaabdullah2010/ps-s6e2-eda-ensemble", "kernel_id": "108433406"}, {"ref": "nishu65/s6-e2-1", "kernel_id": "108557442"}, {"ref": "nishu65/s6-e2", "kernel_id": "108483144"}, {"ref": "nishu65/heart-disease-s6e2", "kernel_id": "108877497"}, {"ref": "nishu65/s6e2-xgb-cat-lgb", "kernel_id": "108925670"}, {"ref": "nishu65/heart-disease-prediction-clean-gpu-catboost", "kernel_id": "108920342"}, {"ref": "nishu65/5-model-median", "kernel_id": "108802434"}, {"ref": "nishu65/upvote-s6e2", "kernel_id": "108801289"}, {"ref": "nishu65/s6-e2-v2-upvote", "kernel_id": "108780615"}, {"ref": "thomastschinkel/s6e2-advanced-eda-insights", "kernel_id": "108422853"}, {"ref": "thomastschinkel/s6e2-heart-disease-xgb-lgbm-catb", "kernel_id": "108887614"}, {"ref": "deepaksacso/heart-disease-prediction-roc-auc", "kernel_id": "108604941"}, {"ref": "pythoxb/eda-on-heart-disease", "kernel_id": "108449298"}, {"ref": "vikasdestroyer/catboost-baseline-cv-score-9555", "kernel_id": "108542412"}, {"ref": "hermitsays/is-heart-disease-predictable-roc-auc-0-956", "kernel_id": "108431100"}, {"ref": "harshitashibe24/notebook1", "kernel_id": "108627134"}, {"ref": "sutariyasmit01/playground-s6-ep2", "kernel_id": "108601819"}, {"ref": "utaazu/s6e2-eda-drift-check-adversarial", "kernel_id": "108426919"}, {"ref": "utaazu/s6e2-catboost-starter-cv-submit-lb-0-95359", "kernel_id": "108427662"}, {"ref": "payaldhokane/predicting-heart-disease-keras-pipeline", "kernel_id": "108778564"}, {"ref": "payaldhokane/prediction-heart-disease-catboost", "kernel_id": "108777446"}, {"ref": "payaldhokane/heart-disease-prediction-xgboost-catboost", "kernel_id": "108888565"}, {"ref": "payaldhokane/predicting-heart-disease", "kernel_id": "108613814"}, {"ref": "payaldhokane/predicting-heart-disease-lgbmclassifier", "kernel_id": "108537158"}, {"ref": "payaldhokane/heart-diease-probability-prediction", "kernel_id": "108537733"}, {"ref": "stephentarter/ps-s06e02-lightgbm", "kernel_id": "108963859"}, {"ref": "stephentarter/ps-s06e02-nn-tabular-resnet-embeddings", "kernel_id": "108623592"}, {"ref": "stephentarter/ps-s06e02-model-blending", "kernel_id": "108637702"}, {"ref": "stephentarter/ps-s06e02-model-stacking", "kernel_id": "108638302"}, {"ref": "stephentarter/ps-s06e02-catboost", "kernel_id": "108657320"}, {"ref": "stephentarter/ps-s06e02-data-visualization", "kernel_id": "108542451"}, {"ref": "stephentarter/ps-s06e02-eda", "kernel_id": "108542593"}, {"ref": "stephentarter/ps-s06e02-experiment-setup", "kernel_id": "108541425"}, {"ref": "stephentarter/ps-s06e02-feature-engineering", "kernel_id": "108557183"}, {"ref": "stephentarter/ps-s06e02-test-feature-engineering", "kernel_id": "108557341"}, {"ref": "stephentarter/ps-s06e02-xgboost", "kernel_id": "108559733"}, {"ref": "lalit7881/heart-disease-prediction", "kernel_id": "108428762"}, {"ref": "lalit7881/heart-disease-prediction-eda", "kernel_id": "108431172"}, {"ref": "lalit7881/heart-disease-prediction-roc-auc-0-9563", "kernel_id": "108502290"}, {"ref": "pinch202/notebookb89fd30739", "kernel_id": "108713300"}, {"ref": "kei1048/kyutechuec", "kernel_id": "108844864"}, {"ref": "hmnshudhmn24/heart-disease-xgb-lgbm-catboost-top-1", "kernel_id": "108434223"}, {"ref": "hmnshudhmn24/predicting-heart-disease-playground-series-s06", "kernel_id": "108430277"}, {"ref": "hsakamoto/s6e2-lightgbm-shap", "kernel_id": "108676966"}, {"ref": "kaysanislam/heart-disease", "kernel_id": "108969847"}, {"ref": "djenkivanov/ensemble-xgb-catboost-lgbm-with-optuna", "kernel_id": "108484059"}, {"ref": "djenkivanov/top-15-simple-xgboost-with-optuna-tuning", "kernel_id": "108453172"}, {"ref": "yashviguptads/heart-disease-pred", "kernel_id": "108833111"}, {"ref": "mohankrishnathalla/predicting-heart-disease", "kernel_id": "108586695"}, {"ref": "shivanshcoding/0-9535-my-1st-try-heart-disease-prediction", "kernel_id": "108588913"}, {"ref": "chnsss/playground-series-season-6-episode-2", "kernel_id": "108468753"}, {"ref": "odvut1/heart-disease-pred", "kernel_id": "108445477"}, {"ref": "awguhst/s6e2-eda-xgboost-optuna", "kernel_id": "108488930"}, {"ref": "nirmalpatel02/optuna-tuned-multimodel-ensemble", "kernel_id": "108433613"}, {"ref": "meenalsinha/heart-disease-prediction", "kernel_id": "108470599"}, {"ref": "user412/xgboost-best-params-score-0-95320", "kernel_id": "108628288"}, {"ref": "mtxcjnb666/best-score", "kernel_id": "108762914"}, {"ref": "thivagaranhishor/heat-disease", "kernel_id": "108475579"}, {"ref": "malikhalawa/heart-disease-prediction", "kernel_id": "108592736"}, {"ref": "divvelaashish/stackingclassifierpassthrough", "kernel_id": "108722979"}, {"ref": "divvelaashish/stackingclassifier", "kernel_id": "108630930"}, {"ref": "divvelaashish/catboostclassifier", "kernel_id": "108551338"}, {"ref": "jeckaggle/predicting-heart-disease-eda", "kernel_id": "108487457"}, {"ref": "harukiharada/gradient-boosting-ensemble-with-feature-engineerin", "kernel_id": "108431966"}, {"ref": "harukiharada/stacking-ensemble-with-combined-data", "kernel_id": "108439166"}, {"ref": "harukiharada/gradient-boosting-ensemble-with-weighted-external", "kernel_id": "108436303"}, {"ref": "harukiharada/0-95379-4-model-ensemble-stacking-blending", "kernel_id": "108489211"}, {"ref": "harukiharada/xgb-lgb-cat-with-robust-kbins", "kernel_id": "108874813"}, {"ref": "harukiharada/s6e2-comprehensive-guide-eda-fe-ensemble", "kernel_id": "108727363"}, {"ref": "frissie/s6e02-tf-keras-predicting-heart-disease", "kernel_id": "108898218"}, {"ref": "frissie/s6e02-keras", "kernel_id": "108794786"}, {"ref": "frissie/s6e02-statsmodels", "kernel_id": "108464260"}, {"ref": "igorpawicki/ps-s6e2-blend", "kernel_id": "108706447"}, {"ref": "igorpawicki/s6e2-ensemble-tfl", "kernel_id": "108707290"}, {"ref": "marmarjunbb/predicting-heart-disease-eda", "kernel_id": "108682466"}, {"ref": "emanuellcs/predicting-heart-disease-catb-realmlp-xgb", "kernel_id": "108490072"}, {"ref": "eric15342335/s6e2-single-catboost-8-fold-cv-0-9557", "kernel_id": "108895155"}, {"ref": "mohammedfaisalferoz/heart-disease-prediction", "kernel_id": "108606875"}, {"ref": "samibadidi/predict-hearth-disease", "kernel_id": "108869385"}, {"ref": "tiktukk0/predicting-heart-disease", "kernel_id": "108692651"}, {"ref": "aridoge13/bohemian-rhapsody", "kernel_id": "108883780"}, {"ref": "aridoge13/under-pressure", "kernel_id": "108821133"}, {"ref": "aridoge13/killer-queen", "kernel_id": "108743863"}, {"ref": "aridoge13/sheer-heart-attack", "kernel_id": "108441634"}, {"ref": "aridoge13/bites-the-dust", "kernel_id": "108666176"}, {"ref": "parthsarnobat/heart-disease-optuna-optimized-gbdt-ensemble", "kernel_id": "108672697"}, {"ref": "takeuchidaisuke2001/added-data-and-label-encoding", "kernel_id": "108941982"}, {"ref": "mallikarjunkamati/ml-case-study-heart-disease-prediction", "kernel_id": "108811660"}, {"ref": "sametkrcan/predicting-heart-disease-classification-0-9532", "kernel_id": "108561125"}, {"ref": "arpitjain135/notebook3eb5d7d85b", "kernel_id": "108847245"}, {"ref": "andreialeal/s6e2-eda", "kernel_id": "108480012"}, {"ref": "raynaldyu/heart-disease-prediction-with-xgboostclassifier", "kernel_id": "108673501"}, {"ref": "mercantl/predicting-heart-disease-xgboost", "kernel_id": "108987478"}, {"ref": "kiza123123/notebook5d5fd075e3", "kernel_id": "108901186"}, {"ref": "kiza123123/notebook9c83333585", "kernel_id": "108899388"}, {"ref": "kiza123123/notebook7bfe901519", "kernel_id": "108888306"}, {"ref": "kiza123123/sota-final-trinity-pipeline", "kernel_id": "108919072"}, {"ref": "adwaittagalpallewar/baseline-deep-learning-classifier-heart-disease", "kernel_id": "108949555"}, {"ref": "mec314/heart-disease-lightgbm-with-optuna", "kernel_id": "108764641"}, {"ref": "datasciencegrad/s6e2-detailed-eda-insights-w-blend", "kernel_id": "108422915"}, {"ref": "datasciencegrad/s6e2-catb-only-k-fold-cv-0-9555", "kernel_id": "108424501"}, {"ref": "nistha1111/notebookf41e481503-tuned-catboost-0-95354", "kernel_id": "108608000"}, {"ref": "nistha1111/notebook74f4438014", "kernel_id": "108609808"}, {"ref": "nistha1111/notebooke160f63703-single-catboost-model", "kernel_id": "108590702"}, {"ref": "nistha1111/notebookbe1efbbf26", "kernel_id": "108480295"}, {"ref": "danielllparker/heart-disease-adv-fe-ensemble-kfold", "kernel_id": "108955927"}, {"ref": "gauravduttaiiitb/ex1-s6e2-flaml-roc-auc-weighted", "kernel_id": "108941905"}, {"ref": "gauravduttaiiitb/ex1-s6e2-flaml-ap", "kernel_id": "108942347"}, {"ref": "gauravduttaiiitb/s6e2-autogluon-medium-quality", "kernel_id": "108847821"}, {"ref": "gauravduttaiiitb/s6e2-autogluon-optimize-for-deployment", "kernel_id": "108855916"}, {"ref": "gauravduttaiiitb/s6e2-autogluon-good-quality", "kernel_id": "108855663"}, {"ref": "gauravduttaiiitb/s6e2-autogluon-best-quality", "kernel_id": "108857058"}, {"ref": "gauravduttaiiitb/ex1-s6e2-lazypredict", "kernel_id": "108911100"}, {"ref": "gauravduttaiiitb/ex1-s6e2-flaml-roc-auc", "kernel_id": "108910545"}, {"ref": "gauravduttaiiitb/s6e2-autogluon-best-quality-v150", "kernel_id": "108880768"}, {"ref": "gulzarnadaf/ml-case-study-heart-diseases-prediction", "kernel_id": "108811700"}, {"ref": "sakshiwali0101/ml-case-study-heart-disease-prediction", "kernel_id": "108812025"}, {"ref": "laxmimouneshbadiger/ml-case-study-heart-disease-prediction-1", "kernel_id": "108823721"}, {"ref": "rohinamomin/ml-case-study-heart-disease-prediction", "kernel_id": "108811755"}, {"ref": "bhoomikamugali/ml-case-study-heart-disease-prediction", "kernel_id": "108811796"}, {"ref": "rutvinesari/ml-case-study-heart-disease-prediction", "kernel_id": "108811114"}, {"ref": "saniya017/ml-case-study-heart-disease-prediction", "kernel_id": "108811778"}, {"ref": "shwetakumbar01/ml-case-study-heart-disease-prediction", "kernel_id": "108811842"}, {"ref": "priyankapatil28/ml-case-study-health-disease-prediction", "kernel_id": "108811849"}, {"ref": "nandinialatagi/ml-case-study-heart-disease-prediction", "kernel_id": "108811864"}, {"ref": "aishuuc/ml-case-study-heart-disease-prediction", "kernel_id": "108811108"}, {"ref": "maheshwarikamble18/ml-case-study-heart-disease-prediction", "kernel_id": "108811680"}, {"ref": "rakshitakhandugol/ml-case-study-health-disease-prediction", "kernel_id": "108816532"}, {"ref": "sharan0292/ml-case-study-heart-disease-prediction", "kernel_id": "108811692"}, {"ref": "amrutakhandugol/ml-case-study-heart-disease-prediction", "kernel_id": "108816483"}, {"ref": "datapovzone/eda-understanding-feature-patterns-and-relations", "kernel_id": "108602167"}, {"ref": "mrinal062026/notebookd5c9e9d8d8", "kernel_id": "108701554"}, {"ref": "sharansp125/ml-case-study-heartdisease-prediction", "kernel_id": "108811727"}, {"ref": "avadhootlabbi7/notebook6774214cc2", "kernel_id": "108811812"}, {"ref": "oggyjack2026/case-study-heart-disease-prfb6d581", "kernel_id": "108812716"}, {"ref": "altingjoka/0-95-meta-stacking", "kernel_id": "108919561"}, {"ref": "khushikumari8op/fork-of-notebook9ead986f51-2", "kernel_id": "108982452"}, {"ref": "sophieb/s6e2-base-model-with-cuml", "kernel_id": "109655919"}, {"ref": "zoupet/semi-supervised-learning-with-pseudo-labelling", "kernel_id": "109784210"}, {"ref": "zoupet/gb-is-all-you-need-stacking-blending", "kernel_id": "109454385"}, {"ref": "zoupet/pytorch-tabular-prediction-with-gpu", "kernel_id": "109528439"}, {"ref": "abisheksrivastav/catboost", "kernel_id": "109258455"}, {"ref": "abisheksrivastav/xgb-lgb-catboost", "kernel_id": "109180958"}, {"ref": "abramova/s6e2-predicting-heart-disease-base-blend", "kernel_id": "109082077"}, {"ref": "abramova/s6e2-stacking-lgbm-xbg-and-catboost", "kernel_id": "109268883"}, {"ref": "yekenot/ps-s6-e2-trompt-pytorch-frame", "kernel_id": "109581639"}, {"ref": "jimmycool/fork-of-notebookdab5e54eae", "kernel_id": "109000325"}, {"ref": "ryzhokhina/s6-e2-baselines", "kernel_id": "109201643"}, {"ref": "ryzhokhina/s6-e2-5fold-stratified-cv", "kernel_id": "109252426"}, {"ref": "cdeotte/s6e2-model-explainability", "kernel_id": "109639179"}, {"ref": "banjiolaniyan/01-o-o-exploratorydataanalysis-heartdisease", "kernel_id": "109608320"}, {"ref": "seiyatakahashi/realmlp-top-10-strategy", "kernel_id": "109046128"}, {"ref": "trambulis/playground-s06e02-autogluon", "kernel_id": "109343900"}, {"ref": "aarasd/heart-disease-pred", "kernel_id": "109969062"}, {"ref": "pilkwang/s6e2-cv-tuned-boosting", "kernel_id": "109607045"}, {"ref": "pilkwang/eda-statistical-insight-modeling-guidance", "kernel_id": "109595319"}, {"ref": "clintoris/predicting-heart-disease-full-stack", "kernel_id": "109640613"}, {"ref": "noisebop/predicting-heart-disease-solution-mlops", "kernel_id": "109628687"}, {"ref": "nkaria1/eda-viz-predicting-heart-disease-s6-e2", "kernel_id": "109819792"}, {"ref": "priya2117/heartdisease-predictor-eda", "kernel_id": "109047611"}, {"ref": "hittmg/260214playground-s6-e2-day3-1", "kernel_id": "109424354"}, {"ref": "hittmg/260214playground-s6-e2-day3-3-xgboost", "kernel_id": "109444957"}, {"ref": "hittmg/260214playground-s6-e2-day3-2-lightgbm", "kernel_id": "109433082"}, {"ref": "hittmg/260214playground-s6-e2-day3-4-ensemble", "kernel_id": "109455657"}, {"ref": "hittmg/260218playground-s6e2day4-1-catboost-w-cat", "kernel_id": "109778407"}, {"ref": "hittmg/260218playground-s6e2day4-2-ensemble-w-cat", "kernel_id": "109780168"}, {"ref": "hittmg/260210playground-s6-e2", "kernel_id": "109126398"}, {"ref": "hittmg/260211playground-s6-e2-day2", "kernel_id": "109230293"}, {"ref": "mehrankazeminia/s6e2-heart-disease", "kernel_id": "109605027"}, {"ref": "lauraalonso/heart-disease-didactic-notebook", "kernel_id": "109250634"}, {"ref": "tracyporter/play-6-2-omit-bp-fbs", "kernel_id": "109168412"}, {"ref": "tracyporter/play-6-2-rfc", "kernel_id": "109058212"}, {"ref": "tracyporter/play-6-2-rfc-histogram", "kernel_id": "109251443"}, {"ref": "mifnkst/s6e2-lgbm-optuna", "kernel_id": "109026247"}, {"ref": "seungjunleeofficial/kaggle-s6e2-submission-0-95371-tree-ensemble", "kernel_id": "109617851"}, {"ref": "aditadd/notebook-day1", "kernel_id": "109141738"}, {"ref": "swayamsinghal/beginner-friendly-ml-heart-disease-prediction", "kernel_id": "109104568"}, {"ref": "adamsuttonclt/heart-disease-notebook", "kernel_id": "109390611"}, {"ref": "cocoyachi/3-models-1-ensemble-guide-for-beginner", "kernel_id": "109114577"}, {"ref": "cocoyachi/ft-transformer-for-heart-disease-prediction", "kernel_id": "109116899"}, {"ref": "cocoyachi/the-most-beautiful-eda-for-heart-disease", "kernel_id": "109119345"}, {"ref": "cocoyachi/a-complete-beginner-s-guide-heart-disease", "kernel_id": "109356248"}, {"ref": "cocoyachi/heart-disease-multi-model-rank-blend-ensemble", "kernel_id": "109351839"}, {"ref": "cocoyachi/score-0-95347-stacking-target-encoding", "kernel_id": "109272280"}, {"ref": "cocoyachi/cardiology-features-hill-climb-ensemble", "kernel_id": "109273031"}, {"ref": "cocoyachi/heart-disease-sample-v1-all-in-one", "kernel_id": "109493087"}, {"ref": "cocoyachi/heart-disease-v11-5-less-is-more", "kernel_id": "109449954"}, {"ref": "cocoyachi/heart-disease-v12-simple-clean", "kernel_id": "109459191"}, {"ref": "matteuscruz/hello-world", "kernel_id": "109713112"}, {"ref": "riponce/clinical-grade-eda-biostatistical-investigation", "kernel_id": "109966454"}, {"ref": "d1ffic00lt/pre-trained-model-usage-example", "kernel_id": "109466778"}, {"ref": "d1ffic00lt/0-95381-automl", "kernel_id": "109565392"}, {"ref": "ashishblthakre/priedicting-heart-disease", "kernel_id": "109024857"}, {"ref": "omidbaghchehsaraei/tabnet-predicting-heart-disease-lb-0-95389", "kernel_id": "109554264"}, {"ref": "mariusborel/stacking-on-disease", "kernel_id": "109265680"}, {"ref": "masayakawamata/trust-your-cv-a-robust-ensemble-strategy", "kernel_id": "109646415"}, {"ref": "adastroabyssosque/heart-disease-prediction-xgboost", "kernel_id": "109042351"}, {"ref": "francescoliveras/ps-s6-e02", "kernel_id": "109788556"}, {"ref": "abhinavsharma0706/heart-02", "kernel_id": "109233511"}, {"ref": "abhinavsharma0706/heart-01", "kernel_id": "109018300"}, {"ref": "marylka/heart-disease-xgboost-catboost-optuna-tuning", "kernel_id": "109671838"}, {"ref": "vh10935cse20/predicting-heart-disease-catboost-lgbm-blend", "kernel_id": "109170255"}, {"ref": "calebboen/heart-disease-prediction-catboost", "kernel_id": "109359955"}, {"ref": "geraldamasi/heart-disease-prediction", "kernel_id": "109419869"}, {"ref": "carloscll/mutual-information-mi", "kernel_id": "109205640"}, {"ref": "carloscll/s6e2-using-mlflow", "kernel_id": "109854617"}, {"ref": "natchaphonkamhaeng/binary-predicting-heart-disease", "kernel_id": "109614573"}, {"ref": "princelubisi/predicting-heart-disease-mlp", "kernel_id": "109683051"}, {"ref": "derickchris/predicting-heart-disease", "kernel_id": "109126291"}, {"ref": "les1781/predicting-heart-disease-s6e02", "kernel_id": "109345391"}, {"ref": "jagrutiyuvrajdhangar/heart-diseare-pred", "kernel_id": "109319617"}, {"ref": "ibukunoluwaadelani/heart-disease-understanding", "kernel_id": "109012755"}, {"ref": "bartekmietlicki/bm-heartdisease-s6e2-k", "kernel_id": "109814145"}, {"ref": "tidianecisse/predicting-heart-disease-compet-v1", "kernel_id": "109201725"}, {"ref": "tidianecisse/from-linear-baseline-to-boosting", "kernel_id": "109286223"}, {"ref": "bhaweshsinha07/playground-series-s6e2-lightgbm-v2-1", "kernel_id": "109656620"}, {"ref": "bhaweshsinha07/playground-series-s6e2-lightgbm-v3", "kernel_id": "109654165"}, {"ref": "bhaweshsinha07/playground-series-s6e2-lightgbm-v2", "kernel_id": "109650845"}, {"ref": "bhaweshsinha07/beta-neural-network-playground-s6e2", "kernel_id": "109505166"}, {"ref": "bhaweshsinha07/playground-series-s6e2-lightgbm", "kernel_id": "109426027"}, {"ref": "bhaweshsinha07/xgb-classifier-modeling-overall-auc-0-9551475", "kernel_id": "109277804"}, {"ref": "bhaweshsinha07/catboost-modeling-overall-cv-auc-0-95515", "kernel_id": "109203124"}, {"ref": "rudraksh45/heart-disease", "kernel_id": "109949170"}, {"ref": "kipriyanovichhh/throughput-latency-analyzer", "kernel_id": "109938168"}, {"ref": "belbino/heart-disease-xgb-lgb-cat-ridge-pipe-0-95377", "kernel_id": "109663966"}, {"ref": "francescoalbanesephd/s6e02-heart-disease-v1", "kernel_id": "109547881"}, {"ref": "kimkijun7/heart-disease-prediction-xgb-cat-with-python", "kernel_id": "109021191"}, {"ref": "hdotm1225/notebooka00a87b711", "kernel_id": "109349526"}, {"ref": "vivek7557/s6-e2-xgb", "kernel_id": "109546341"}, {"ref": "yashpalthakor/attention-is-all-your-heart-needs-a-pytorch-95156", "kernel_id": "109082427"}, {"ref": "nikita7364777/part-ii-fastapi-streamlit", "kernel_id": "109597325"}, {"ref": "nikita7364777/part-i-ensemble-solution", "kernel_id": "109988724"}, {"ref": "ranjandahal/predicting-heart-disease-usinglightgbm-xgboost-cat", "kernel_id": "109945366"}, {"ref": "ranjandahal/heart-disease-prediction-2", "kernel_id": "109855415"}, {"ref": "abbas829/grandmaster-heart-pipeline", "kernel_id": "109350498"}, {"ref": "abbas829/heart-disease-xgboost-grandmaster", "kernel_id": "109924204"}, {"ref": "engineerfrabbi/predicting-heart-disease-2", "kernel_id": "109671820"}, {"ref": "engineerfrabbi/predicting-heart-disease-3", "kernel_id": "109781451"}, {"ref": "marcusewang/multiple-model-testing-cat-best", "kernel_id": "109018335"}, {"ref": "armanzhalgasbayev/ps-s6e2-heart-disease-catboost-clf-optuna-pb-95", "kernel_id": "109695984"}, {"ref": "armanzhalgasbayev/6-02-logisticregression-interpretability-0-95", "kernel_id": "109997977"}, {"ref": "ozermehmet/heart-disease-eda-feature-analysis", "kernel_id": "109853184"}, {"ref": "ozermehmet/synthetic-vs-original-is-the-data-lying", "kernel_id": "109838944"}, {"ref": "massimocaramanna/predicting-heart-disease-playground-series-s6e2", "kernel_id": "109557427"}, {"ref": "sdeogade/heart-disease-meta-ensemble-v1", "kernel_id": "109622019"}, {"ref": "pialghosh/heart-disease-random-forest", "kernel_id": "109514234"}, {"ref": "ashwinmahawar/heart-disease-prediction-statistical-analysis", "kernel_id": "109102268"}, {"ref": "hanjunseo/heart-disease-clean-baseline-and-eda-first-kaggl", "kernel_id": "109395819"}, {"ref": "raedennab/ge3-grandmaster-ensemble-heart-disease-pred", "kernel_id": "109839570"}, {"ref": "raedennab/ge4-grandmaster-ensemble-heart-disease-pred", "kernel_id": "109912040"}, {"ref": "raedennab/gp8-s6e2-external-pseudo-catboost-boost", "kernel_id": "109923417"}, {"ref": "raedennab/gp7-s6e2-pure-external-gated-nudge", "kernel_id": "109807606"}, {"ref": "raedennab/cbdt5-s6e2-v3-rank-ensemble-optimized-blending", "kernel_id": "109757236"}, {"ref": "raedennab/gp6-s6e2-rank-blend-ensemble-auc-boost", "kernel_id": "109725735"}, {"ref": "raedennab/cbdt4-s6e2-v3-rank-ensemble-optimized-blending", "kernel_id": "109725426"}, {"ref": "raedennab/gp5-s6e2-rank-blend-ensemble-auc-boost", "kernel_id": "109719081"}, {"ref": "raedennab/cbdt3-s6e2-v3-rank-ensemble-optimized-blending", "kernel_id": "109718386"}, {"ref": "raedennab/gbdt-gpu-ensemble-heart-disease-prediction-s6e2", "kernel_id": "109644351"}, {"ref": "raedennab/gp4-s6e2-rank-blend-ensemble-auc-boost", "kernel_id": "109643382"}, {"ref": "raedennab/gp3-ps-s6e2-heart-disease-gpu-ensemble-interac", "kernel_id": "109638246"}, {"ref": "raedennab/gbdt2-gpu-ensemble-heart-disease-prediction-s6e2", "kernel_id": "109645448"}, {"ref": "mehmetsel/heart-disease-nn-mlp", "kernel_id": "109186846"}, {"ref": "vishaljeyam/predicting-heart-disease", "kernel_id": "109170146"}, {"ref": "kanakos/s5e9-catboost-lgbm-stacking-0209", "kernel_id": "109005666"}, {"ref": "ajenks/hear-disease-new-mod", "kernel_id": "109834793"}, {"ref": "shivsatyam/te-no-fe-lr-stacking-pipeline", "kernel_id": "109188418"}, {"ref": "yusuphabojang/yusupha-heart-disease", "kernel_id": "109054878"}, {"ref": "zayl001/predicting-heart-disease-s6-e2", "kernel_id": "109032434"}, {"ref": "junaid512/predicting-heart-disease-ensemble-models", "kernel_id": "109825994"}, {"ref": "chrysostomoskoumides/predicting-heart-disease-competition", "kernel_id": "109458107"}, {"ref": "mahmudict/notebooke91ba617f9", "kernel_id": "109209833"}, {"ref": "bahridgr/ensemble-vs-single-model-a-kaggle-deep-dive", "kernel_id": "109718242"}, {"ref": "andrewbnord/predicting-heart-disease-autogluon", "kernel_id": "109032597"}, {"ref": "aditi2005/catboost-realmlp-0-95393", "kernel_id": "109064591"}, {"ref": "gourabr0y555/hill-climbing", "kernel_id": "109626006"}, {"ref": "alifazelniya/heart-disease", "kernel_id": "109174271"}, {"ref": "realvisheshbhardawaj/ensemble103", "kernel_id": "109697760"}, {"ref": "realvisheshbhardawaj/ensemble101", "kernel_id": "109607558"}, {"ref": "rupankarmajumdar/predicting-heart-disease-s6e2-autogluon", "kernel_id": "109555308"}, {"ref": "sasha1111/predicting-heart-disease-catboost", "kernel_id": "109782327"}, {"ref": "kirikiti/eda-for-ensembling-models", "kernel_id": "109021985"}, {"ref": "kirikiti/nonlinear-logistic-model-heart-disease", "kernel_id": "109142817"}, {"ref": "vidushianand09/0-95343-auc-oof-stable-gpu-ensemble", "kernel_id": "109070868"}, {"ref": "priyanshiairen/notebook72ad4f994d", "kernel_id": "109317059"}, {"ref": "keyadobriyal/5-model-stacking-pipeline", "kernel_id": "109991220"}, {"ref": "hbistechie/heart-disease-prediction", "kernel_id": "109627808"}, {"ref": "karuna2k/heart-disease-prediction-ml-lightgbm-s6e2", "kernel_id": "109274098"}, {"ref": "debasmita1/predicting-heart-disease", "kernel_id": "109671394"}, {"ref": "sikappisubbu/playground-series-season-6-hdp", "kernel_id": "109987477"}, {"ref": "zafarali27/s6e2-predicting-heart-disease", "kernel_id": "109829401"}, {"ref": "muhammaddanyalmalik/train-only-xgb-lgbm-catboost", "kernel_id": "109138026"}, {"ref": "muhammaddanyalmalik/weighted-blending", "kernel_id": "109255773"}, {"ref": "kaushikharshal/eda-rf-ann-model", "kernel_id": "109450376"}, {"ref": "nishantsingh23/heart-disease-prediction", "kernel_id": "109948972"}, {"ref": "nurasylserikov/tried-messy-really", "kernel_id": "109379934"}, {"ref": "abdullahalfahad34/4-models", "kernel_id": "109180765"}, {"ref": "sibikrish3000/heart-disease-prediction", "kernel_id": "109310868"}, {"ref": "emranalbiek/predicting-heart-disease-kaggle-competition", "kernel_id": "109083704"}, {"ref": "debanganghosh/resume-job-description-semantic-matching-system", "kernel_id": "109245725"}, {"ref": "debanganghosh/catboost-baseline-vs-lightgbm-roc-auc-0-9", "kernel_id": "109362785"}, {"ref": "yusufmurtaza01/s6e2-blend3", "kernel_id": "109393300"}, {"ref": "cheven/notebooka2fae3037a", "kernel_id": "109908857"}, {"ref": "vivekumar001/heart-disease-with-logistic-regression", "kernel_id": "109632290"}, {"ref": "vivekumar001/heart-disease-with-catboost-0-95332", "kernel_id": "109254430"}, {"ref": "mukundtimbadiya/heart-disease-modeling", "kernel_id": "109948046"}, {"ref": "mukundtimbadiya/heart-disease-eda", "kernel_id": "109664994"}, {"ref": "abdullahnubi/heart-disease-eda-feature-engineering-xgboos", "kernel_id": "109694769"}, {"ref": "faruktekin/s6e2-heart-disease-prediction-eda-catboost", "kernel_id": "109139637"}, {"ref": "abdullahelgondakly/random-forest-heart-diseases-prediction", "kernel_id": "109191478"}, {"ref": "furkangazidinler/heart-disease-prediction-95345", "kernel_id": "109228301"}, {"ref": "satokin13m/s6e2-nn", "kernel_id": "109053645"}, {"ref": "satokin13m/s6e2-hill-climb", "kernel_id": "109321139"}, {"ref": "theallkeeeymist/heart-disease", "kernel_id": "109047166"}, {"ref": "burakeskiba/heart-disease-rf-baseline-auc-0-95", "kernel_id": "109464596"}, {"ref": "abdullahsafwan333/disease-logreg-beginner-friendly", "kernel_id": "109576234"}, {"ref": "zaouiyassine/fast-solution-to-heart-disease-no-k-fold-cv", "kernel_id": "109996293"}, {"ref": "ibrahimkhalilullah22/catboost-0-95344-heart-diseasee", "kernel_id": "109435867"}, {"ref": "ibrahimkhalilullah22/eda-of-the-heart-disease-prediction-training-datas", "kernel_id": "109219106"}, {"ref": "quantf/submission-csv-0-95329", "kernel_id": "109770307"}, {"ref": "marii8st/heart-desease-predor", "kernel_id": "109614067"}, {"ref": "mah20050/the-golden-duck-model", "kernel_id": "109690573"}, {"ref": "muhammadsaifwaheed/pulsepoint-ai-a-masterclass-in-cardiac-diagnostic", "kernel_id": "109719428"}, {"ref": "lahuyhoang/notebook6af2e60bf1", "kernel_id": "109117454"}, {"ref": "calc5716/predicting-heart-disease", "kernel_id": "109537850"}, {"ref": "junesdata/xgb-realmlp", "kernel_id": "109025960"}, {"ref": "rahulkumar162k8/compare-and-use-gradient-boosting", "kernel_id": "109963894"}, {"ref": "adwaithkm/heart-disease", "kernel_id": "109221088"}, {"ref": "ahmed1metawea/predict-heart-disease-competition", "kernel_id": "109625941"}, {"ref": "ishaanchoudhary34/heart-diseases", "kernel_id": "109441689"}, {"ref": "mankz199/s6e2-heart-disease-prediction", "kernel_id": "109238587"}, {"ref": "nidhimittal123/notebookfa9ab48cbe", "kernel_id": "109697524"}, {"ref": "achilov15/corrprune-median-blend-0-95397", "kernel_id": "109242613"}, {"ref": "achilov15/weighted-blend-heart-disease-0-95398", "kernel_id": "109340954"}, {"ref": "saraortizc/s6e2-ensemble-xgb-cb-lgbm-with-optuna", "kernel_id": "109253935"}, {"ref": "tommasofacchin/pred-heart-disease-stacking-logistic-xgbost", "kernel_id": "109385086"}, {"ref": "abdulhayyassir/0-95395-rf", "kernel_id": "109296571"}, {"ref": "harshit12120/s6e2-solution-implementation", "kernel_id": "109519174"}, {"ref": "gabewinterrowd/ps-s6e2-hgboost", "kernel_id": "109411559"}, {"ref": "kospintr/heart-realmlp-catboost-baseline-k-fold", "kernel_id": "109544264"}, {"ref": "keerthikkkk/heart-disease-prediction-with-xgboost", "kernel_id": "109687140"}, {"ref": "ruslankudaibegenov/heart-disease-eda-logic-lgbm-nn-0-95366", "kernel_id": "109755661"}, {"ref": "ngabofreddy/pre-trained-model-usage-example", "kernel_id": "109692047"}, {"ref": "kami1976/heart-disease-robust-solution", "kernel_id": "109226729"}, {"ref": "domdieun/predicting-heart-disease-by-probability", "kernel_id": "109726922"}, {"ref": "palaktrivedi/fork-of-predicting-heart-disease", "kernel_id": "109363143"}, {"ref": "pietrocol/s6e2-piramid-100", "kernel_id": "109174428"}, {"ref": "piyush1borkar/heart-disease-preds", "kernel_id": "109054695"}, {"ref": "prathix1/notebook38c1fed2db", "kernel_id": "109079079"}, {"ref": "qudsiyasiddique/predicting-heart-diesease-2026", "kernel_id": "109296605"}, {"ref": "nina2025/ps-s6e2-8", "kernel_id": "109001065"}, {"ref": "yashanathaniel/catboost-ensemble-k-fold-isotonic-cv-0-9588", "kernel_id": "109333385"}, {"ref": "nishu65/s6e2-h-blend", "kernel_id": "109312211"}, {"ref": "nishu65/s6-e2-scratch", "kernel_id": "109005282"}, {"ref": "gastondana/heart-disease-recirculation-loop-auc-0-964", "kernel_id": "109009081"}, {"ref": "justcode1/heart", "kernel_id": "109248496"}, {"ref": "jonathanharrison1/comprehensive-heart-disease-prediction-ml-pipeline", "kernel_id": "109385601"}, {"ref": "nabilanaf/heart-disease-fe-lgbm-xgb-catb-stacking", "kernel_id": "109736644"}, {"ref": "nabilanaf/heart-disease-eda-baseline-models", "kernel_id": "109350978"}, {"ref": "utaazu/s6e2-0-95390-catboost-new-ablation-dashboard", "kernel_id": "109048359"}, {"ref": "renanbragac/heart-disease-prediction-logisticregression", "kernel_id": "109266730"}, {"ref": "ishiigoswami/predicting-heart-disease-competition", "kernel_id": "109657631"}, {"ref": "djenkivanov/xgb-cb-oof-encodings-rank-stacking", "kernel_id": "109312835"}, {"ref": "watashiniuta/heart-disease-gridsearchcv-xgboost-score-0-95358", "kernel_id": "109759613"}, {"ref": "talha421/predicting-heart-disease-ipynb", "kernel_id": "109049295"}, {"ref": "ishikagoyal12/heart-disease", "kernel_id": "109583718"}, {"ref": "kkprabu/predicting-heart-disease-catboost-xgb", "kernel_id": "109092956"}, {"ref": "s4rth4k01/notebook2520a78228", "kernel_id": "109364793"}, {"ref": "karamaru/heartdisease-0216", "kernel_id": "109662589"}, {"ref": "ayakawada/predicting-heart-disease-0212", "kernel_id": "109286735"}, {"ref": "sidantchaturbedi/notebookea2bab244d", "kernel_id": "109321335"}, {"ref": "zangarkanylbay/heart-disease-classification", "kernel_id": "109314465"}, {"ref": "saamhm/catboost-lightgbm-gpu-version-roc-auc-0-955", "kernel_id": "109976490"}, {"ref": "sehaj1104/s6e2-grandmaster-ensemble-xgb-lgbm-catboost", "kernel_id": "109367476"}, {"ref": "sehaj1104/heart-disease-prediction-xgboost-baseline", "kernel_id": "109360561"}, {"ref": "amantrivedi221/notebooke9af64159b", "kernel_id": "109471390"}, {"ref": "alexzamds/detailed-eda-predicting-heart-disease", "kernel_id": "109980329"}, {"ref": "kerimmemis/0-9538-realmlp-gbdt-stacking", "kernel_id": "109595209"}, {"ref": "nelnomial/beginner-medical-xai-unlocking-heart-disease", "kernel_id": "109362581"}, {"ref": "truptichudasama/heart-disease", "kernel_id": "109770379"}, {"ref": "harukiharada/realmlp-ext-target-stats-5-fold-cv", "kernel_id": "109002006"}, {"ref": "farisfadilarifin/predicting-heart-disease-xgb", "kernel_id": "109269635"}, {"ref": "dharmikpatelpatel/heart-disease-competition", "kernel_id": "109798545"}, {"ref": "mhamza0810/catboost-cv-0-95565-lb-0-95392", "kernel_id": "109551185"}, {"ref": "piotrjurczyk/heart-disease-xgboost-baseline", "kernel_id": "109405228"}, {"ref": "vedantkulka12/notebookd628756456", "kernel_id": "109293707"}, {"ref": "engawaiskhalid/predictive-reliability-for-the-human-heart", "kernel_id": "109114913"}, {"ref": "aridoge13/hamon", "kernel_id": "109293273"}, {"ref": "joshuawellsmsol/joshua-wells", "kernel_id": "109141677"}, {"ref": "saga27/predictging-heart-disease-ensemble", "kernel_id": "109699637"}, {"ref": "realtalhacelik/k-fold-holy-trinity-ensemble", "kernel_id": "109810335"}, {"ref": "alia22/heart-disease", "kernel_id": "109190854"}, {"ref": "kiza123123/heart-disease-s6e2-top-3-killshot", "kernel_id": "109422370"}, {"ref": "kiza123123/heart-disease-s6e2-protocol", "kernel_id": "109613805"}, {"ref": "adwaittagalpallewar/heart-disease-catboost-lgbm-optuna-tuning", "kernel_id": "109477115"}, {"ref": "adwaittagalpallewar/feature-crosses-boost-performance-or-overfit-xgb", "kernel_id": "109523404"}, {"ref": "adwaittagalpallewar/predicting-heart-disease-with-xgboost", "kernel_id": "109359382"}, {"ref": "rohaniyerdev/heart-disease-catboost-with-optuna", "kernel_id": "109651034"}, {"ref": "rohaniyerdev/predicting-heart-disease-with-xgboost", "kernel_id": "109482146"}, {"ref": "rohaniyerdev/heart-disease-xgboost-with-optuna", "kernel_id": "109501065"}, {"ref": "rohaniyerdev/predicting-heart-disease-with-catboost", "kernel_id": "109243092"}, {"ref": "dangnguyenbinhan/predicting-heart-disease-competitive", "kernel_id": "109028026"}, {"ref": "datasciencegrad/s6e2-catb-xgb-rf-res-k-fold-lb-0-95400", "kernel_id": "109303067"}, {"ref": "rauffauzanrambe/playground-predicting-heart-season-6-episode-2", "kernel_id": "109733004"}, {"ref": "gauravduttaiiitb/ex2-s6e2-autogluon-good-quality-cpu-models", "kernel_id": "109546818"}, {"ref": "gauravduttaiiitb/ex2-s6e2-autogluon-good-quality-gpu-models", "kernel_id": "109546239"}, {"ref": "gauravduttaiiitb/ex1-s6e2-autogluon-medium-quality", "kernel_id": "109535647"}, {"ref": "gauravduttaiiitb/ex2-s6e2-autogluon-medium-quality", "kernel_id": "109536886"}, {"ref": "gauravduttaiiitb/ex4-s6e2-autogluon-medium-quality", "kernel_id": "109538341"}, {"ref": "gauravduttaiiitb/ex2-s6e2-autogluon-best-quality-cpu-rf-2", "kernel_id": "109581122"}, {"ref": "gauravduttaiiitb/ex2-s6e2-autogluon-best-quality-cpu-xt", "kernel_id": "109557405"}, {"ref": "joanruiz07/predicting-heart-disease-randomforestclassifier", "kernel_id": "109169387"}, {"ref": "breeze2kcn/catboost-predict-heart-disease", "kernel_id": "109120263"}, {"ref": "sorajoddd/heart-disease-v1-5", "kernel_id": "109798269"}, {"ref": "sorajoddd/heart-disease-v1-0", "kernel_id": "109223041"}, {"ref": "tharun017/catboost-x-xgbclassifier-beginner-friendly-code", "kernel_id": "109037205"}, {"ref": "tharun017/catboost-x-gb", "kernel_id": "109036787"}, {"ref": "tharun017/catboostmodel-begginer-friendly", "kernel_id": "109025079"}, {"ref": "sammydarren/notebook459f4eae4f", "kernel_id": "109347400"}, {"ref": "abdullahkhaliq14/heart-disease-prediction-ebe293", "kernel_id": "109307111"}, {"ref": "user164919/playground-series-s6e2-heart-disease-prediction", "kernel_id": "110471198"}, {"ref": "jankuper192/let-s-try-python-version-1", "kernel_id": "110918711"}, {"ref": "abhicloudstalk/perforatedairun", "kernel_id": "110665509"}, {"ref": "rafanikitas/phd-eda-hp-tuning-pseudo-label", "kernel_id": "110345205"}, {"ref": "artemevstafyev/mlp-cb-xgb-shap-analysis", "kernel_id": "110636728"}, {"ref": "abisheksrivastav/realmlp-temperatures", "kernel_id": "110158052"}, {"ref": "joanest/xgboost-model-by-category-of-the-thallium-variable", "kernel_id": "110206001"}, {"ref": "gvalentini/heart-disease-r-logistic-regression", "kernel_id": "110095129"}, {"ref": "diogodsa/heart-disease-prediction-the-feynman-way-top-1", "kernel_id": "110745948"}, {"ref": "diogodsa/heart-disease-prediction-the-feynman-way", "kernel_id": "110658435"}, {"ref": "nkaria1/eda-keras-for-predicting-heart-disease-s6-e", "kernel_id": "110018413"}, {"ref": "tttrrraaahhh/nous-explainable-fuzzy-rules", "kernel_id": "110368993"}, {"ref": "mbjallow6/heart-disease-risk-calibrated-lightgbm-logisti", "kernel_id": "110104997"}, {"ref": "nikitachubai/playground-s6e2-logistic-regression-lightgbm", "kernel_id": "110194019"}, {"ref": "azzamradman/submit-and-hold-onto-your-wig", "kernel_id": "110756332"}, {"ref": "chakrabhuanavdeva/predict-heart-disease", "kernel_id": "110913722"}, {"ref": "deeguy/heart-disease-prediction-comprehensive-modeling", "kernel_id": "110172205"}, {"ref": "deeguy/ensemblemodeling-heart-disease-predictions", "kernel_id": "110348798"}, {"ref": "deeguy/heart-disease-predictions-feature-engineering", "kernel_id": "110265749"}, {"ref": "seungjunleeofficial/0-95372-mlp-and-tree-models-ensemble", "kernel_id": "110914913"}, {"ref": "fkaanfirat/ps-s6e2-optuna-tuned-3-model-blend", "kernel_id": "110924386"}, {"ref": "akshayr009/predicting-heart-disease", "kernel_id": "110286274"}, {"ref": "springdai/s6e2-target-enc-optuna-hpo", "kernel_id": "110921145"}, {"ref": "hardikmakhija/aorta-matic-winner-the-ultimate-10-fold-ensemble", "kernel_id": "110743966"}, {"ref": "hardikmakhija/the-clinical-pulse-triple-stacked-uci-hybrid", "kernel_id": "110733108"}, {"ref": "hardikmakhija/heart-disease-gm-ensemble", "kernel_id": "110728970"}, {"ref": "hardikmakhija/uci-anchored-heart-stack-10-fold-seed-averaging", "kernel_id": "110818765"}, {"ref": "riponce/s6e2-clinical-eda-ensemble-rank-top-2", "kernel_id": "110029911"}, {"ref": "ravi20076/playgrounds6e3-public-baseline-v1", "kernel_id": "110981177"}, {"ref": "halomibonbon/0-95350-rf-xgb-lgm-weighted-prediction", "kernel_id": "110699970"}, {"ref": "hotprotato/heart-disease-modelling-v1", "kernel_id": "110052247"}, {"ref": "johnnyhyland/heart-disease-prediction-multi-model-ensemble", "kernel_id": "110841394"}, {"ref": "thesharifzade/heart-disease-prediction-logisticregression", "kernel_id": "110926231"}, {"ref": "thesharifzade/heart-disease-prediction-randomforestclassifier", "kernel_id": "110775097"}, {"ref": "nvsshankar/residual-embedding-network-for-heart-disease", "kernel_id": "110966955"}, {"ref": "ahmedmsaber/heart-disease-prediction-using-lightgbm-high-accur", "kernel_id": "110631542"}, {"ref": "miadul/predicting-heart-disease-with-ml", "kernel_id": "110094263"}, {"ref": "fredderuiter/fred-predicting-heart-disease", "kernel_id": "110653278"}, {"ref": "abhishekkumarsing98/predicting-heart-disease-gpu-stacking-ensemble", "kernel_id": "110198317"}, {"ref": "khaledshaheen/predicting-heart-disease", "kernel_id": "110197502"}, {"ref": "endritmustafa/predictingheartdisease-s6e2", "kernel_id": "110844860"}, {"ref": "caseytrudo/predicting-heart-disease", "kernel_id": "110865669"}, {"ref": "tejanshmaurya/prediction-heart-diseases", "kernel_id": "110318831"}, {"ref": "abhishek4420/prediction-with-glm-statistical-analysis", "kernel_id": "110848559"}, {"ref": "yunsuxiaozi/heart-disease-generate-demo", "kernel_id": "110880580"}, {"ref": "yunsuxiaozi/pss6e2-catcv-0-955735", "kernel_id": "110232073"}, {"ref": "meddyh/te-rfecv-stackingensemble", "kernel_id": "110042591"}, {"ref": "sturarods/justing-automl-w-n2o", "kernel_id": "110278763"}, {"ref": "kipriyanovichhh/notebook5c4fabe372", "kernel_id": "110218316"}, {"ref": "mumtazahmadmaitla/heartdp-s6e2", "kernel_id": "110265264"}, {"ref": "bilgesaygili/predicting-heart-disease", "kernel_id": "110208387"}, {"ref": "belbino/heart-disease-stack-pipeline-0-95365", "kernel_id": "110101402"}, {"ref": "amerhu/heart-disease-tri-ensemble-lr-meta-stack", "kernel_id": "110795885"}, {"ref": "mrsohelranapro/data-driven-heart-disease-prediction-ml-stack", "kernel_id": "110845818"}, {"ref": "abbas829/heart-disease-submission", "kernel_id": "110281760"}, {"ref": "arockianishas/predicting-heart-disease", "kernel_id": "110181895"}, {"ref": "arockianishas/heart-disease-prediction", "kernel_id": "110184285"}, {"ref": "nishant30488/s6e2-catboost-95532", "kernel_id": "110608205"}, {"ref": "ashwinmahawar/s6e2-multilevel-models-xgb-cat-ridge-lgb-lr", "kernel_id": "110895627"}, {"ref": "ashwinmahawar/s6e2-xgboost-with-ridgeclassification", "kernel_id": "110593581"}, {"ref": "raedennab/ge5-0-954-supreme-logit-blender", "kernel_id": "110034847"}, {"ref": "raedennab/gp8-0-954-supreme-logit-blender", "kernel_id": "110036478"}, {"ref": "kanakos/s5e9-catboost-lgbm-stacking-0225", "kernel_id": "110596266"}, {"ref": "shadagamal/competetion-for-heart-disease", "kernel_id": "110772642"}, {"ref": "ericemerich/heart-disease-prediction", "kernel_id": "110801129"}, {"ref": "pirhosseinlou/modify-two-rows", "kernel_id": "110202615"}, {"ref": "edvinas23/heart-disease-prediction", "kernel_id": "110539318"}, {"ref": "abhiraams/heartdisease", "kernel_id": "110622462"}, {"ref": "anindyaroechowdhury/heart-disease-prediction", "kernel_id": "110628617"}, {"ref": "isthereanycode/s6e2-ensemble-0-95358", "kernel_id": "110610454"}, {"ref": "yashxmishra/predicting-heart-disease", "kernel_id": "110240932"}, {"ref": "alikariman/s6e2-0-95552-oof-feature-pruning-stable-ense", "kernel_id": "110504776"}, {"ref": "aroshabakhtawar/heart-disease-predictor", "kernel_id": "110847617"}, {"ref": "riddymazumder/0-95410-stacked-ensemble-cardiovascular-disease", "kernel_id": "110912804"}, {"ref": "danialia/boosting-auc-with-optuna-stratkfold-feature-eng", "kernel_id": "110748683"}, {"ref": "mohamedazizblaidi/heart-disease-prediction-full-analysis-ipynb", "kernel_id": "110848540"}, {"ref": "adamthomas11/s6e2-two-level-stacking-with-seed-ensemble", "kernel_id": "110633503"}, {"ref": "irfanmohamedvdk/heart-disease-prediction", "kernel_id": "110818888"}, {"ref": "robinamirbahar/robina-heart-disease-predictor", "kernel_id": "110730862"}, {"ref": "badalkrsharma/rank-17-code", "kernel_id": "110864400"}, {"ref": "badalkrsharma/blend-and-get-rank-under-20", "kernel_id": "110904926"}, {"ref": "rohit8527kmr7518/ps-s6e2-predicting-heart-disease", "kernel_id": "110169439"}, {"ref": "rohit8527kmr7518/ps-s6e2-eda-pipeline", "kernel_id": "110853164"}, {"ref": "martinosmani/predicting-heart-diesease", "kernel_id": "110542743"}, {"ref": "hayyafatima7/heart-disease-prediction", "kernel_id": "110932253"}, {"ref": "manyucheng/chengmanyu-predicting-heart-disease", "kernel_id": "110919427"}, {"ref": "atharvav75/heart-disease-prediction-eda-lgbm-xgb-cb-tabne", "kernel_id": "110112892"}, {"ref": "aryannegi93/predicting-heart-disease", "kernel_id": "110097267"}, {"ref": "muffinboy/predicting-heart-disease-modelwork", "kernel_id": "110431825"}, {"ref": "muffinboy/predicting-heart-disease-dataanalysis", "kernel_id": "110418756"}, {"ref": "muffinboy/phd-6", "kernel_id": "110784416"}, {"ref": "muffinboy/phd-4", "kernel_id": "110630202"}, {"ref": "muffinboy/mmlm-datacleaning", "kernel_id": "110622083"}, {"ref": "muffinboy/phd-5", "kernel_id": "110646682"}, {"ref": "yantaotang/opuna-version", "kernel_id": "110154947"}, {"ref": "daisyarce/data515-lightgbm-and-xgboost", "kernel_id": "110947002"}, {"ref": "rizaihamj/kp3-gv-official", "kernel_id": "110703895"}, {"ref": "vivekumar001/heart-disease-with-logistic-regression-s6e2", "kernel_id": "110638320"}, {"ref": "zahramollaey/heart-disease-prediction", "kernel_id": "110449069"}, {"ref": "sanidhyavijay24/adaptive-blending-auc-0-95410", "kernel_id": "110872041"}, {"ref": "mukundtimbadiya/catboost", "kernel_id": "110523619"}, {"ref": "abeerelhalfawy/heart-disease-predection", "kernel_id": "110926676"}, {"ref": "johnkiriba/3-model-gradient-boosting-ensemble", "kernel_id": "110810637"}, {"ref": "satokin13m/s6e2-ynong", "kernel_id": "110963200"}, {"ref": "solitaryseeker/xgboost-lightgbm", "kernel_id": "110507550"}, {"ref": "gabrielcaramori/notebook-comp", "kernel_id": "110633045"}, {"ref": "farrelfaricaf/s6e2-predict-heart-disease-catboost-0-95545", "kernel_id": "110007412"}, {"ref": "halitta/ps-s6e2-heart-disease-ensemble", "kernel_id": "110364812"}, {"ref": "muhammadsaifwaheed/pulse-predictions-triple-boost-ensemble", "kernel_id": "110401648"}, {"ref": "muhammadsaifwaheed/pulse-prediction-advanced-cardiac-risk-modeling", "kernel_id": "110262165"}, {"ref": "meharinpuspo/predicting-heart-disease", "kernel_id": "110739232"}, {"ref": "junesdata/adk-realmlp-original-stats-models", "kernel_id": "110731583"}, {"ref": "ridhamoza2001/heart-disease-lr-xgboost", "kernel_id": "110810112"}, {"ref": "issaadibtissem/heart-disease-prediction", "kernel_id": "110090190"}, {"ref": "kanyewestt/predicting-heart-disease-competition", "kernel_id": "110598118"}, {"ref": "samikshabansal/sol-pg2", "kernel_id": "110131809"}, {"ref": "earnestgomer/disclosedleakage-orderedboostingablation-0-95390", "kernel_id": "110258166"}, {"ref": "gabewinterrowd/ps-s6e2-realmlp", "kernel_id": "110346130"}, {"ref": "rawashishsin/s6e2-single-catboost-baseline-tuned-0-955702", "kernel_id": "110297812"}, {"ref": "shreyashbadiger/predict-heart", "kernel_id": "110346604"}, {"ref": "celinags/heart-disease", "kernel_id": "110825383"}, {"ref": "saifhany259/predicting-heart-disease", "kernel_id": "110401110"}, {"ref": "palpawan12/heart-disease-with-logistic-regression-0-9537", "kernel_id": "110522393"}, {"ref": "nina2025/ps-s6e2-hb25g-2", "kernel_id": "110629921"}, {"ref": "nina2025/ps-s6e2-hb25g", "kernel_id": "110554633"}, {"ref": "yashanathaniel/authentic-ensemble-10-catboost-0-95391", "kernel_id": "110157601"}, {"ref": "yashanathaniel/disclosedleakage-orderedboostingablation-0-95390", "kernel_id": "110225456"}, {"ref": "yashanathaniel/catboost-oof-encoding-heartdisease-0-95379", "kernel_id": "110111806"}, {"ref": "nishu65/s6e2-realmlp", "kernel_id": "110259353"}, {"ref": "syedhasan2302935/assignment-2-predicting-heart-disease", "kernel_id": "110289026"}, {"ref": "krishpansara/predicting-heart-disease", "kernel_id": "110852143"}, {"ref": "kiransingh31297/notebook620f552541", "kernel_id": "110744277"}, {"ref": "prabhpreetsingh5/optuna-optimized-boosting-blend", "kernel_id": "110742726"}, {"ref": "ssssws/s6e2-blend3", "kernel_id": "110882157"}, {"ref": "sakshisemalti/predict-heartdisease", "kernel_id": "110745747"}, {"ref": "aslamsayyad1/s6e2-heart-disease-v14", "kernel_id": "110617268"}, {"ref": "aslamsayyad1/s6e2-heart-disease-v19", "kernel_id": "110776871"}, {"ref": "aslamsayyad1/notebookbb50f534fd", "kernel_id": "110777318"}, {"ref": "aslamsayyad1/s6e2-heart-disease-v17", "kernel_id": "110775576"}, {"ref": "aslamsayyad1/s6e2-heart-disease-v16", "kernel_id": "110761851"}, {"ref": "kostya138/professional-eda-catboost-optuna-features", "kernel_id": "110266740"}, {"ref": "marcomars/heartdisease", "kernel_id": "110488445"}, {"ref": "hsakamoto/s6e2-lightgbm-0-95384", "kernel_id": "110173448"}, {"ref": "prathmeshsolunke/beginner-friendly-eda-heart-disease-dataset", "kernel_id": "110318042"}, {"ref": "mohit78241/heart-disease-prediction", "kernel_id": "110520666"}, {"ref": "djenkivanov/eden-01-explained-oof-encoding-rank-stacking", "kernel_id": "110097370"}, {"ref": "krishraghuwanshi/trompt-pai", "kernel_id": "110928021"}, {"ref": "ekremkutukculer/predicting-heart-disease", "kernel_id": "110655022"}, {"ref": "karol05/predicting-heart-disease-2", "kernel_id": "110025677"}, {"ref": "karol05/predicting-heart-disease-1", "kernel_id": "110000191"}, {"ref": "parthasharmaknk/heart-disease", "kernel_id": "110268813"}, {"ref": "kuldeepkumar01072005/submission-csv", "kernel_id": "110528621"}, {"ref": "aekmeddad/heartdisease", "kernel_id": "110760770"}, {"ref": "lock812/lgbm-heart-disease", "kernel_id": "110854949"}, {"ref": "isbaha/submission-heart-disease-prediction", "kernel_id": "110942495"}, {"ref": "sparshpatil1296/predicting-heart-disease", "kernel_id": "110621376"}, {"ref": "emanuellcs/universal-tabular-eda-template", "kernel_id": "110002253"}, {"ref": "osmanozcanli/predictingheartdisease", "kernel_id": "110219929"}, {"ref": "bhargavic2025/kaggle-competition-heart-disease-s6e2", "kernel_id": "110515638"}, {"ref": "thilakjayaraj/doctor-friendly", "kernel_id": "110845843"}, {"ref": "meredithmengyishen/ps-s6e2-eda-logistic-rf-xgboost", "kernel_id": "110001205"}, {"ref": "kiza123123/fork-of-heart-disease-s6e2-top-3-killshot", "kernel_id": "110015953"}, {"ref": "kiza123123/heart-disease-s6e2-v10-12-final", "kernel_id": "110374872"}, {"ref": "kiza123123/heart-disease-s6e2-v10-14-overfit", "kernel_id": "110418239"}, {"ref": "kiza123123/precision-heart-disease-prediction-boardroom-v4", "kernel_id": "110886886"}, {"ref": "kiza123123/lessons-learned", "kernel_id": "110897623"}, {"ref": "kiza123123/trinity-masterclass-journey", "kernel_id": "110896180"}, {"ref": "adwaittagalpallewar/seed-averaging-explained-xgboost", "kernel_id": "110317361"}, {"ref": "aminmahmoudalifayed/the-gold-future-heart", "kernel_id": "110348633"}, {"ref": "aminmahmoudalifayed/golden-healtrip-cardiac-predictive", "kernel_id": "110084953"}, {"ref": "aminmahmoudalifayed/healtrip-defeating-heart-attacks-45-minutes-early", "kernel_id": "110163183"}, {"ref": "nistha1111/oof-stacking", "kernel_id": "110909747"}, {"ref": "nistha1111/blend-v1-70-30", "kernel_id": "110905356"}, {"ref": "nistha1111/xgboost-baseline-submission", "kernel_id": "110903132"}, {"ref": "gauravduttaiiitb/org-s6e2-autogluon-high-quality", "kernel_id": "110204039"}, {"ref": "gauravduttaiiitb/org-s6e2-autogluon-best-quality-v150", "kernel_id": "110202772"}, {"ref": "gauravduttaiiitb/org-s6e2-autogluon-experimental-quality", "kernel_id": "110203979"}, {"ref": "gauravduttaiiitb/org-s6e2-autogluon-high-quality-v150", "kernel_id": "110203356"}, {"ref": "gauravduttaiiitb/org-s6e2-autogluon-extreme-quality", "kernel_id": "110203763"}, {"ref": "gauravduttaiiitb/org-s6e2-autogluon-medium-quality", "kernel_id": "110201616"}, {"ref": "gauravduttaiiitb/org-s6e2-autogluon-optimize-for-deployment", "kernel_id": "110201729"}, {"ref": "gauravduttaiiitb/org-s6e2-autogluon-good-quality", "kernel_id": "110201812"}, {"ref": "gauravduttaiiitb/org-s6e2-autogluon-best-quality", "kernel_id": "110201840"}, {"ref": "purvimerchant/predicting-heart-disease-purvi-m", "kernel_id": "110371140"}, {"ref": "markojovanovic14/notebook3057a2c6fe", "kernel_id": "110201789"}, {"ref": "kalyanivenkatagorli/predicting-heart-disease-assignment", "kernel_id": "110560143"}, {"ref": "akhilareddy5678/predicting-heart-disease", "kernel_id": "110467193"}, {"ref": "unknownshaistazainab/predicting-heart-disease", "kernel_id": "110983848"}, {"ref": "abhithejreddy/predicting-heart-disease", "kernel_id": "110975980"}, {"ref": "sheilock/notebook7774a4b14f", "kernel_id": "110753280"}, {"ref": "rushisolunke/from-zero-to-eda-to-heart-disease-competition-exp", "kernel_id": "110318558"}, {"ref": "gunavardhanavamsi/predictingheartdisease", "kernel_id": "110761623"}, {"ref": "atharvbalajishinde/s6e2-ml-pipeline-with-validation-feature-importa", "kernel_id": "110618555"}, {"ref": "cdeotte/logistic-regression-w-target-encoding", "kernel_id": "111003617"}, {"ref": "mechatronixs/heart-disease-prediction-lightgbm-auc0-9550", "kernel_id": "111136102"}, {"ref": "hittmg/260304playground-s6e2day5-baseline-template", "kernel_id": "111235723"}, {"ref": "raahimrizwan/heart-disease-prediction-roc-auc-95-47", "kernel_id": "111004918"}, {"ref": "extergeist/heart-disease-prediction-hybrid-supervision", "kernel_id": "111009614"}, {"ref": "edsheeren/heart-disease-prediction-95-percent-accuracy", "kernel_id": "111991346"}, {"ref": "habibaadle/notebookb10f2a48b2", "kernel_id": "111192139"}, {"ref": "francescoalbanesephd/s6e03-customer-churn-v1", "kernel_id": "111584729"}, {"ref": "shreyav27/heart-disease-prediction-code-shreya", "kernel_id": "111052326"}, {"ref": "jaybright/heart-disease-1", "kernel_id": "111115235"}, {"ref": "ash123454/heart-disease-prediction-with-logreg-dt", "kernel_id": "111317472"}, {"ref": "mustak1217/heart-disease-prediction", "kernel_id": "111177403"}, {"ref": "lindseiwalsh1019/dsc783-assignment2-heartdisease-walsh", "kernel_id": "111015532"}, {"ref": "jaydinnowak/dsc783-heartdisease-assignment2", "kernel_id": "111008639"}, {"ref": "andreafarinella/notebook21239194f3", "kernel_id": "111012649"}, {"ref": "suhairsamuels/heart-disease-notebook", "kernel_id": "111008835"}, {"ref": "purvimerchant/heart-disease-prediction-03012026", "kernel_id": "111014849"}, {"ref": "keithsz/starter-notebook-heart-disease-prediction", "kernel_id": "112558458"}, {"ref": "leonchani/01-eda-predicting-heart-disease", "kernel_id": "112832491"}, {"ref": "misternautiyal/in-top-10-but-a-late-solution", "kernel_id": "112952921"}, {"ref": "junkikung/heart-disease-prediction", "kernel_id": "112605980"}, {"ref": "wedzy1/logistic-regression-heart-disease-prediction", "kernel_id": "112092623"}, {"ref": "tkwbpp/heart-disease", "kernel_id": "112060723"}, {"ref": "manabbarman/simple-linear-regression-0-87", "kernel_id": "112519999"}, {"ref": "manabbarman/0-95-auc-solution-pair-target-encoding-xgboost", "kernel_id": "112523662"}, {"ref": "rohitv18/heart-disease-model", "kernel_id": "112496469"}, {"ref": "fonsekhy/comprehensive-heart-disease-eda", "kernel_id": "113823761"}, {"ref": "sajidursiam/predicting-heart-disease-final", "kernel_id": "113391122"}, {"ref": "ebjdoe/ps-s6e2-heart-disease-cholesterol-barely-predicts", "kernel_id": "113045655"}, {"ref": "imraniwu2025/private-eda-kernel-s6e2-final", "kernel_id": "113824896"}, {"ref": "brianlimqz/heart-disease-prediction", "kernel_id": "113463662"}, {"ref": "rommelsharma/0-95421-predicting-heart-disease-lightgbm-catbst", "kernel_id": "113456302"}, {"ref": "ramazanulus/predicting-heart-disease-deep-learning", "kernel_id": "113898912"}, {"ref": "sammydarren/starter-notebook-heart-disease-prediction", "kernel_id": "113338007"}, {"ref": "leonchani/01-eda-predicting-irrigation-need", "kernel_id": "114279327"}, {"ref": "junkikung/predicting-heart-disease-mahin", "kernel_id": "114535963"}, {"ref": "nishu65/heart-i1", "kernel_id": "114062269"}, {"ref": "min2un/heart-dis-proj", "kernel_id": "114211678"}, {"ref": "esmanurozcelik/heart-disease-predict", "kernel_id": "114270427"}, {"ref": "trnhuyhongthh/heart-disease", "kernel_id": "114482739"}, {"ref": "trnhuyhongthh/heart-disease-3", "kernel_id": "114650894"}, {"ref": "trnhuyhongthh/heart-disease-4", "kernel_id": "114748247"}, {"ref": "siddartha4/heart-disease-pred", "kernel_id": "114342251"}, {"ref": "falrlz/heart-disease-prediction-with-xgboost-optuna", "kernel_id": "114727114"}, {"ref": "swas06/irrigationneeded-eda", "kernel_id": "115518523"}, {"ref": "patelris/s6e2-heart-disease-lgbm-xgb-catboost-stack", "kernel_id": "115871805"}, {"ref": "francescoalbanesephd/s6e04-irrigation-need-v1", "kernel_id": "115429069"}, {"ref": "nishant30488/ps6e2-all-models-comparision", "kernel_id": "115626508"}, {"ref": "marrishashevikaash/heart-disease-prediction", "kernel_id": "115319223"}, {"ref": "daisyarce/individual-project-8", "kernel_id": "115080377"}, {"ref": "tugcebasyigit/predicting-heart-disease", "kernel_id": "115629171"}, {"ref": "ththuhththuh/heart-disease-dohaha", "kernel_id": "115192629"}, {"ref": "ththuhththuh/heart-disease-lightgbm", "kernel_id": "115696521"}, {"ref": "ntthuet/heart-disease-xgb-improved", "kernel_id": "115206250"}, {"ref": "ntthuet/heart-disease-xgb-simple", "kernel_id": "115192969"}, {"ref": "ntthuet/heart-disease-ensemble-3-models", "kernel_id": "115605083"}, {"ref": "fatmasnmezyzseven/predicting-heart-disease", "kernel_id": "115871179"}, {"ref": "ferlinaseptidwiyanti/heart-disease-finalll", "kernel_id": "115694763"}, {"ref": "raedennab/reproducible-internal-benchmarking-and-late-submis", "kernel_id": "116696741"}, {"ref": "amanshah32/heart-disease-predictor", "kernel_id": "116948491"}, {"ref": "trnhuyhongthh/concatdatafrom2sources", "kernel_id": "116250549"}, {"ref": "ntthuet/heart-disease-xgb-optuna", "kernel_id": "116864212"}, {"ref": "zhihengyang2/notebookfc4ec99ca9", "kernel_id": "116206672"}, {"ref": "codexlearner/predicting-heart-disease", "kernel_id": "116402861"}, {"ref": "hanadiakurnias/predicting-heart-disease-hana-ica", "kernel_id": "116158212"}, {"ref": "lancecasimiro/predict-heart-disease", "kernel_id": "117334961"}, {"ref": "harshadpanchal/heart-disease-prediction-1stcompetition", "kernel_id": "117450585"}, {"ref": "ththuhththuh/heart-disease-lightgbm-2", "kernel_id": "118908712"}, {"ref": "trnhuyhongthh/hear-disease-simplenn", "kernel_id": "118507441"}, {"ref": "samuelyhuang2023/predicting-heart-disease-gradient-boost-classifier", "kernel_id": "118092367"}, {"ref": "hipznguyen/realmlp", "kernel_id": "119438253"}, {"ref": "furkanzmez/heart-disease-eda-featureengineering-ensemble", "kernel_id": "119746936"}, {"ref": "ththuhththuh/randomforest-cv-avg", "kernel_id": "119056026"}, {"ref": "ththuhththuh/randomforest-fullfit", "kernel_id": "119212462"}, {"ref": "trnhuyhongthh/inspecting-dataset", "kernel_id": "119763929"}, {"ref": "samvelgalstyan/predictingheartdisease", "kernel_id": "119955473"}, {"ref": "vnlylng/randomforest-cv-2", "kernel_id": "119274147"}, {"ref": "vnlylng/randomforest-fullfit", "kernel_id": "119326938"}, {"ref": "vnlylng/emsemble-equal-soft-voting-cvavg", "kernel_id": "119394192"}, {"ref": "vnlylng/ensemble-weighted-soft-voting-cvavg", "kernel_id": "119445034"}, {"ref": "vnlylng/stacking-logreg-cvavg", "kernel_id": "119438978"}, {"ref": "dizzykhanh/predicting-heart-disease", "kernel_id": "120251348"}, {"ref": "meldapaksoy/notebook4ddbdc9e68", "kernel_id": "120232739"}, {"ref": "furyakk/s6e2-first-order-optimizer-comparison-study", "kernel_id": "120545843"}, {"ref": "trnhuyhongthh/randomforest-raw-features-cv-optuna", "kernel_id": "120547016"}, {"ref": "trnhuyhongthh/stacking-xgb-cat-lgbm-optuna-lr-meta-raw-features", "kernel_id": "120573536"}, {"ref": "trnhuyhongthh/recommended-sys", "kernel_id": "120184425"}, {"ref": "chyungmyung/randomforestclassifier-prediction", "kernel_id": "120843484"}, {"ref": "ngoothinh/predicting-heart-disease", "kernel_id": "120375379"}, {"ref": "aysegulkocakagu/aysegulkocakulutopcu-ece567", "kernel_id": "121659212"}, {"ref": "akifhasdemir/predicting-heart-disease", "kernel_id": "121871846"}, {"ref": "prantamohajan/notebook697e0041c1", "kernel_id": "122908312"}, {"ref": "vengateshvengat/predicting-heart-disease", "kernel_id": "124387833"}, {"ref": "tense45/bamise-horizon-assignment", "kernel_id": "124551756"}, {"ref": "seiyakawaguchi/notebook-heart-disease", "kernel_id": "125775929"}, {"ref": "kylinj0817/notebookb9c3be159c", "kernel_id": "127532108"}, {"ref": "hezaitian/predicting-heart-disease", "kernel_id": "127299043"}, {"ref": "shuseisakai/notebook-2", "kernel_id": "128193652"}, {"ref": "akioyamaguchi/notebook", "kernel_id": "128439782"}, {"ref": "hibikiyamazaki/notebook-hibiki-yamazaki", "kernel_id": "128452043"}, {"ref": "mariusborel/predict-smartphone-addiction", "kernel_id": "129576780"}, {"ref": "zqx960151285/predicting-heart-disease", "kernel_id": "129244510"}, {"ref": "rajatpatil803/notebook4e8d44a3f6", "kernel_id": "130731999"}, {"ref": "avisheksinha91/predicting-heart-disease", "kernel_id": "132127691"}, {"ref": "sakhawathossen/heart-disease", "kernel_id": "135839255"}, {"ref": "medvax/predicting-heart-disease-s6e2-validated-ensemble", "kernel_id": "136007856"}]}
{"competition_id": "125197", "kernels": [{"ref": "lucasmoraes001/customer-churn-xgboost-only-0-91407", "kernel_id": "83985533"}, {"ref": "rattans/xgb-visualization-loan-payback-probability", "kernel_id": "98022955"}, {"ref": "johnkihoro/fraud-detection-bank-notes-prediction", "kernel_id": "104826010"}, {"ref": "taimour/customer-churn-tree-based-algos-xai-k-means", "kernel_id": "110954159"}, {"ref": "include4eto/single-xgb-cudf-pseudo-labels-cv-0-91789", "kernel_id": "110953637"}, {"ref": "stpeteishii/customer-churn-autogluon-medium-baseline", "kernel_id": "110973105"}, {"ref": "pilkwang/churn-decoded-ibm-anchored-signals-cobyla-blend", "kernel_id": "110969659"}, {"ref": "pilkwang/s6e3-eda-walkthrough", "kernel_id": "110953276"}, {"ref": "pilkwang/s6e3-native-cats-platt-scaling", "kernel_id": "110955380"}, {"ref": "mpwolke/churn-xgb-on-saturday-night", "kernel_id": "110953210"}, {"ref": "wguesdon/ps6e3-automated-public-ensemble", "kernel_id": "110998561"}, {"ref": "xjoannax88/customer-churn-eda-prediction-xgb", "kernel_id": "110973198"}, {"ref": "mohamedabder/01-complete-eda-predict-customer-churn", "kernel_id": "110982472"}, {"ref": "mohamedabder/02-modelisation-predict-customer-churn", "kernel_id": "110982487"}, {"ref": "seungjunleeofficial/s6e3-0-91416-tree-ensemble-optuna-tuning", "kernel_id": "110973893"}, {"ref": "jimgruman/beloved-customers", "kernel_id": "110953767"}, {"ref": "jocelyndumlao/churn-prediction-0-917-auc-pipeline", "kernel_id": "110957818"}, {"ref": "leonchani/01-eda-predict-customer-churn", "kernel_id": "110970618"}, {"ref": "ravi20076/playgrounds6e3-public-imports-v1", "kernel_id": "110961652"}, {"ref": "ravi20076/playgrounds6e3-public-baseline-v1", "kernel_id": "110981177"}, {"ref": "ravi20076/playgrounds6e3-public-baseline-v2", "kernel_id": "110983971"}, {"ref": "d1ffic00lt/0-91458-automl-features", "kernel_id": "110986114"}, {"ref": "d1ffic00lt/0-9163-catboost-lgbm-features-off-preds", "kernel_id": "110976225"}, {"ref": "alpayabbaszade/s6e3-optbinning-fe-baseline-xgb-auc-0-9136", "kernel_id": "110981507"}, {"ref": "thuandao/overall-picture-eda-detail", "kernel_id": "110967828"}, {"ref": "codingmaster24/predict-customer-churn-v1", "kernel_id": "110981704"}, {"ref": "rohanrathod02/customer-churn-xgb-lgbm-catboost-ensemble", "kernel_id": "110966944"}, {"ref": "rohansardar/customer-churn-statsmodel-eda-vif-logreg", "kernel_id": "110960289"}, {"ref": "ameniayedi/s6e3-predicting-customer-churn", "kernel_id": "110976788"}, {"ref": "marylka/s6e3-eda-xgboost", "kernel_id": "110975089"}, {"ref": "vanpatangan/customer-churn-prediction", "kernel_id": "110979585"}, {"ref": "eu1234/customerchurn-simple-quick-multi-seed-ensemble", "kernel_id": "110988726"}, {"ref": "amittalmale/predict-customer-churn-s6e3", "kernel_id": "110983074"}, {"ref": "chovyxu/playgrounds2026-ep3", "kernel_id": "110961791"}, {"ref": "nickkatsarelas/churn-dataset", "kernel_id": "110986523"}, {"ref": "kava1/s6e3-0-913-lb-synthetic-artifacts", "kernel_id": "110963994"}, {"ref": "belbino/predict-customer-churn", "kernel_id": "110973766"}, {"ref": "yashpalthakor/lightgbm-based-customer-churn-modeling-with-5-fold", "kernel_id": "110965378"}, {"ref": "amerhu/ensemble-churn-prediction", "kernel_id": "110985558"}, {"ref": "robertpatchin/s6-e3-auc-churning-out-an-ensemble", "kernel_id": "110970772"}, {"ref": "mahmudulmadu/s6e3-adv-fe-xgboost-lightgbm-catboost-ensemble", "kernel_id": "110971679"}, {"ref": "armanzhalgasbayev/ps-s6e3-catboost-clf-optuna-churn-pred", "kernel_id": "110996522"}, {"ref": "amri11/customer-churn-prediction", "kernel_id": "110957487"}, {"ref": "lightningv08/s6e3-cv-0-91842-xgb-kfold-pseudo-labeling", "kernel_id": "110983059"}, {"ref": "mikhailnaumov/customer-churn-ensemble", "kernel_id": "110965790"}, {"ref": "sanjaybora143/customer-churn-prediction-multi-models", "kernel_id": "110986109"}, {"ref": "citerne/eda-stacked-bar-plots-std-cramer-sv-matrix", "kernel_id": "110959019"}, {"ref": "nishant30488/ps6e3-exploratory-data-analysis-key-insights", "kernel_id": "110961962"}, {"ref": "ashwinmahawar/s6e3-multi-seeding-xgb-cat-lgb-rcv-lr-91400", "kernel_id": "110970103"}, {"ref": "junaid512/deep-dea-predict-customer-churn", "kernel_id": "110970286"}, {"ref": "bokkuzu/15min-eda-s6e3-predict-customer-churn", "kernel_id": "110982382"}, {"ref": "lakhindarpal/predict-customer-churn", "kernel_id": "110959614"}, {"ref": "jefferssonpre/rnadom-forest-classic", "kernel_id": "110965254"}, {"ref": "koushikkumardinda/predict-customer-churn", "kernel_id": "110955752"}, {"ref": "vidushianand09/gbm-ensemble-cv-roc-auc-0-917051", "kernel_id": "110995924"}, {"ref": "suhanigupta04/predict-customer-churn-playground-problem", "kernel_id": "110965806"}, {"ref": "kienngx/customer-churn-xgb-lgbm-catboost-random-search", "kernel_id": "110983475"}, {"ref": "rudraprasadbhuyan/ps-s6e5-basline", "kernel_id": "110957835"}, {"ref": "rudraprasadbhuyan/ps-s6e5-oof-xgb-catb-rf", "kernel_id": "110995357"}, {"ref": "badalkrsharma/cv-0-91680-xgb-lgb-multi-seed-ensemble", "kernel_id": "110958998"}, {"ref": "rohit8527kmr7518/ps-s6e3-predicting-customer-churn", "kernel_id": "110985422"}, {"ref": "hepes46/eda-fe-baseline-lightgbm", "kernel_id": "110972012"}, {"ref": "haradibots/oof-fold-5", "kernel_id": "110966866"}, {"ref": "haradibots/let-s-doo-some-work", "kernel_id": "110964430"}, {"ref": "bhaskarmishra44796/customer-churn-xgbc", "kernel_id": "110963171"}, {"ref": "amanatar/s6e3-customer-churn-eda-baselines", "kernel_id": "110977078"}, {"ref": "gopikrishnan2005/s6e3-eda-shap", "kernel_id": "110960396"}, {"ref": "iwayansatya/s6e3-kaggle-playground-for-newbie", "kernel_id": "110968112"}, {"ref": "manasi197/s6e3-hybrid-ensemble-advanced-fe", "kernel_id": "110987709"}, {"ref": "amritanshukush/customer-churn-xgb-lgb-catb", "kernel_id": "110977106"}, {"ref": "zaouiyassine/s6e3-1st-baseline-with-99-1-train-val-split", "kernel_id": "110975113"}, {"ref": "calc5716/telco-churn-full-ml-pipeline-roc-auc-0-9316", "kernel_id": "110094643"}, {"ref": "kospintr/churn-xgb-lightgbm-catboost-realmlp-baseline", "kernel_id": "110966245"}, {"ref": "daoviet/s6e3-eda-models-0-94", "kernel_id": "110956335"}, {"ref": "aymankhan555/churnforecast-optuna-xgb-lgb-cat", "kernel_id": "110995223"}, {"ref": "daylighth/ps-s6e3-eda-baseline", "kernel_id": "110961098"}, {"ref": "syedfarazhussaini/2026march-customer-churn-prediction", "kernel_id": "110968179"}, {"ref": "emircansoftware/churn-prediction-ensemble", "kernel_id": "110964223"}, {"ref": "nina2025/ps-s6e3-hb1", "kernel_id": "110955600"}, {"ref": "murtazaabdullah2010/predict-customer-churn-xgb-cat-lgb", "kernel_id": "110958405"}, {"ref": "nishu65/s6-e3", "kernel_id": "110959070"}, {"ref": "nishu65/predict-customer-churn-s6e3-xgb-catb-log-rf", "kernel_id": "110957355"}, {"ref": "justcode1/customer", "kernel_id": "110966982"}, {"ref": "hermitsays/optimized-churn-modeling", "kernel_id": "110960489"}, {"ref": "lalit7881/predicting-customer-churn-using-machine-learning", "kernel_id": "110960711"}, {"ref": "sumit12100012/eda-multiple-plots-overview-of-data", "kernel_id": "110964345"}, {"ref": "sumit12100012/baseline-boosting-weighted-0-91396", "kernel_id": "110979829"}, {"ref": "aslamsayyad1/s6e3-customer-churn-v1", "kernel_id": "110971953"}, {"ref": "aslamsayyad1/s6e3-customer-churn-v2", "kernel_id": "110976103"}, {"ref": "kostya138/eda-feature-engineering-ensemble", "kernel_id": "110985752"}, {"ref": "hmnshudhmn24/predict-customer-churn", "kernel_id": "110985419"}, {"ref": "hsakamoto/s6e3-lgbm-shap", "kernel_id": "110968362"}, {"ref": "djenkivanov/xgb-simple-baseline", "kernel_id": "110986413"}, {"ref": "mohankrishnathalla/playground-series-eda-5-models-comparision", "kernel_id": "110966033"}, {"ref": "odvut1/s6e3-customers-churn-prediction", "kernel_id": "110958428"}, {"ref": "ekremkutukculer/predict-customer-churn-auc-0-91707", "kernel_id": "110971041"}, {"ref": "nirmalpatel02/eda-lightgbm-cvensemble", "kernel_id": "110980943"}, {"ref": "engineergraduate/eda-predict-cust-churn", "kernel_id": "110988466"}, {"ref": "emanuellcs/predict-customer-churn-lgbm-xgb-catboost", "kernel_id": "110954693"}, {"ref": "emanuellcs/eda-predict-customer-churn", "kernel_id": "110954171"}, {"ref": "eric15342335/autogluon-gpu-s6e3", "kernel_id": "110962562"}, {"ref": "eric15342335/autogluon-cpu-s6e3", "kernel_id": "110961795"}, {"ref": "eric15342335/train-test-adversarial-validation-0-51-s6e3", "kernel_id": "110962131"}, {"ref": "parthsarnobat/s6e3-classification-catboost-optimization", "kernel_id": "110966397"}, {"ref": "adwaittagalpallewar/customer-churn-eda-baseline-modeling", "kernel_id": "110966625"}, {"ref": "datasciencegrad/s6e3-detail-eda-baseline-xgb-auc-0-91808", "kernel_id": "110955674"}, {"ref": "rauffauzanrambe/predict-customer-churn-interactive-dashboard", "kernel_id": "110957115"}, {"ref": "gauravduttaiiitb/s6e3-flaml-roc-auc", "kernel_id": "110969754"}, {"ref": "gauravduttaiiitb/s6e3-flaml-log-loss", "kernel_id": "110969818"}, {"ref": "gauravduttaiiitb/s6e3-flaml-accuracy", "kernel_id": "110969899"}, {"ref": "gauravduttaiiitb/s6e3-flaml-roc-auc-weighted", "kernel_id": "110969063"}, {"ref": "gauravduttaiiitb/s6e3-flaml-ap", "kernel_id": "110968702"}, {"ref": "gauravduttaiiitb/s6e3-autoviz", "kernel_id": "110965481"}, {"ref": "gauravduttaiiitb/s6e3-lazypredict", "kernel_id": "110964764"}, {"ref": "gauravduttaiiitb/s6e3-autogluon-optimize-for-deployment", "kernel_id": "110980777"}, {"ref": "gauravduttaiiitb/s6e3-autogluon-medium-quality", "kernel_id": "110982110"}, {"ref": "artemevstafyev/detailed-eda-blend", "kernel_id": "111061897"}, {"ref": "artemevstafyev/cv-auc-0-91930-xgb-cb-blend", "kernel_id": "111266576"}, {"ref": "sun9sun9/predict-customer-churn-eda-ml-pilot", "kernel_id": "111408604"}, {"ref": "sangeetha007/trial-3-churn-logistic-regression", "kernel_id": "111260131"}, {"ref": "yekenot/ps-s6-e3-trompt-pytorch-frame", "kernel_id": "111404572"}, {"ref": "yekenot/ps-s6-e3-realmlp-pytabkit", "kernel_id": "111449388"}, {"ref": "esppik/eda-and-voting-classifier", "kernel_id": "111612748"}, {"ref": "leonlaigogo/eda-x-3-model-cat-xgb-lgb-v20-0-91530", "kernel_id": "111621449"}, {"ref": "dequadras/targetviz-for-fast-eda", "kernel_id": "111764162"}, {"ref": "rohannanaware/churn-explainability-pdp-ice-shap-plots", "kernel_id": "111338132"}, {"ref": "kritidoneria/ps6ep3-lightautoml-fe-pseudolabelling", "kernel_id": "111064883"}, {"ref": "include4eto/realmlp-feature-engineering", "kernel_id": "111757242"}, {"ref": "include4eto/bi-tri-gram-te-resnet-chatgpt-vibe-coding", "kernel_id": "111691697"}, {"ref": "include4eto/tabtransfomer-chatgpt-vibe-coding", "kernel_id": "111598840"}, {"ref": "include4eto/autogluon-predicting-churn", "kernel_id": "111251262"}, {"ref": "include4eto/xlearn-ffm", "kernel_id": "111278014"}, {"ref": "include4eto/tabm-pseudo-labels", "kernel_id": "111069789"}, {"ref": "include4eto/single-xgb-cudf-pseudo-labels-optuna-tune", "kernel_id": "111145315"}, {"ref": "sakuno/customer-churn-fe-methods-comparison", "kernel_id": "111245257"}, {"ref": "sakuno/customer-churn-eda-base-bin-digit-cats-cat", "kernel_id": "111065869"}, {"ref": "cdeotte/chatgpt-vibe-coding-3xgpu-models-cv-0-9178", "kernel_id": "111039839"}, {"ref": "cdeotte/basic-eda-customer-churn", "kernel_id": "111448904"}, {"ref": "cdeotte/gnn-starter-cv-0-9155-with-hill-climbing-demo", "kernel_id": "111686324"}, {"ref": "cdeotte/bartz-starter-cv-0-9164-with-hill-climbing-demo", "kernel_id": "111925895"}, {"ref": "obiaf88/churn-prediction", "kernel_id": "111590897"}, {"ref": "kalyankkr/multiple-models-different-depths-rank-space", "kernel_id": "111890417"}, {"ref": "karnaz12/customer-churn-prediction", "kernel_id": "111588317"}, {"ref": "wesleyhuan/basic-eda-season-6-episode-3", "kernel_id": "111165034"}, {"ref": "stpeteishii/customer-churn-xgboost-baseline", "kernel_id": "111258060"}, {"ref": "stpeteishii/customer-churn-lgbm-baseline", "kernel_id": "111032239"}, {"ref": "stpeteishii/customer-churn-mlp-baseline", "kernel_id": "111169855"}, {"ref": "stpeteishii/customer-churn-randomforest-baseline", "kernel_id": "111388369"}, {"ref": "stpeteishii/customer-churn-catboost-baseline", "kernel_id": "111469434"}, {"ref": "levshaazz/mlp-neural-network-v3", "kernel_id": "111774607"}, {"ref": "levshaazz/tabnet-final-march-10", "kernel_id": "111774808"}, {"ref": "levshaazz/tabnet-gpu-churn-v2-march-2026", "kernel_id": "111770706"}, {"ref": "levshaazz/mlp-neural-net-sklearn-mlpclassifier", "kernel_id": "111773127"}, {"ref": "levshaazz/tabnet-gpu-final-push-for-0-917", "kernel_id": "111766421"}, {"ref": "kmmmvs/6-3-tpot", "kernel_id": "111873687"}, {"ref": "kmmmvs/6-3-lightautoml", "kernel_id": "111957015"}, {"ref": "kmmmvs/6-3-h2o", "kernel_id": "111971987"}, {"ref": "kmmmvs/6-3-autogluon-best-xgb", "kernel_id": "111993992"}, {"ref": "sarthakniwate13/churn-pred-with-multi-seed-ensemble", "kernel_id": "111847504"}, {"ref": "hittmg/260304playground-s6e3day1-baseline-template", "kernel_id": "111236573"}, {"ref": "hittmg/260307playground-s6e3day2-data-understanding", "kernel_id": "111445512"}, {"ref": "xjoannax88/xgb-smote-new-features-experiment", "kernel_id": "111263571"}, {"ref": "nikitachubai/predict-customer-churn-s6e3", "kernel_id": "111774014"}, {"ref": "lauraalonso/predict-customer-churn-catboost", "kernel_id": "111117917"}, {"ref": "radek4/predict-customer-churn-gradient-boosting", "kernel_id": "111193423"}, {"ref": "amiraslebik/churn-knn-optuna-ensembles-top-22", "kernel_id": "111697436"}, {"ref": "swas06/churnprediction-xgbclassifierr", "kernel_id": "111338382"}, {"ref": "swas06/predict-customerchurn-ed", "kernel_id": "111066540"}, {"ref": "swas06/bankchurneda-hypothesis-testing", "kernel_id": "111664811"}, {"ref": "azzamradman/xgb-decaying-learning-rate-boost-guaranteed", "kernel_id": "111354497"}, {"ref": "azzamradman/0326-a-polite-denoising-autoencoder", "kernel_id": "111334046"}, {"ref": "azzamradman/0326-blend-the-blender", "kernel_id": "111431955"}, {"ref": "tracyporter/play-6-3-catboost-prob", "kernel_id": "111001175"}, {"ref": "josephnehrenz/s6e3-xgboost-catboost-to-predict-churn", "kernel_id": "111586988"}, {"ref": "seungjunleeofficial/s6e3-eda-feature-eng-trees-optuna-tuning-ensemble", "kernel_id": "111601431"}, {"ref": "seungjunleeofficial/auc-0-91681-tree-tabnet-ft-transformer", "kernel_id": "111324397"}, {"ref": "sasakitetsuya/risk-score-and-price-shock-modeling-ver2", "kernel_id": "111452410"}, {"ref": "samithsachidanandan/churn-prediction-lgbm", "kernel_id": "111321182"}, {"ref": "samithsachidanandan/churn-prediction-xgb-lgbm-ensemble", "kernel_id": "111079011"}, {"ref": "minhhaho/xgboost-hyperopt-finetuner", "kernel_id": "111776171"}, {"ref": "brahimenesulusoy/churn-lgb-cat-xgb-ensemble", "kernel_id": "111515094"}, {"ref": "gabrielfelinto/br-churn-predict-0-914", "kernel_id": "111810330"}, {"ref": "jocelyndumlao/0-917-churn-xgboost-pipeline", "kernel_id": "111107194"}, {"ref": "jaiahuja20/customer-churn-prediction-boosting-v1", "kernel_id": "111266175"}, {"ref": "parveenkumarsharma/predict-customer-churn", "kernel_id": "111268984"}, {"ref": "blamerx/s6e3-ridge-xgb-n-gram-0-91927-cv", "kernel_id": "111251955"}, {"ref": "blamerx/s6e3-0-91902-optimized-catboost", "kernel_id": "111628464"}, {"ref": "blamerx/s6e3-0-91906-optimized-lightgbm", "kernel_id": "111628745"}, {"ref": "ameythakur20/customer-churn-prediction-gradient-boosting", "kernel_id": "111532627"}, {"ref": "ameythakur20/predict-customer-churn-xgb-catboost-lgbm-optuna", "kernel_id": "111288358"}, {"ref": "riponce/must-see-before-you-train-eda-svd-pca-umap-churn", "kernel_id": "111471352"}, {"ref": "nalgirayergn/xgb-predict-customer-churn-cv-0-91819", "kernel_id": "111186553"}, {"ref": "ayaabdalsalam/predictcustomerchurn", "kernel_id": "111727595"}, {"ref": "janringling/s6-e3-draft", "kernel_id": "111048720"}, {"ref": "itsyoursumit/predict-customer-churn-6-03", "kernel_id": "111646278"}, {"ref": "sergionefedov/0-9164-predict-customer-churn", "kernel_id": "111503797"}, {"ref": "codingmaster24/predict-customer-churn-xgboost", "kernel_id": "111340449"}, {"ref": "codingmaster24/advanced-churn-classification-model-catboost", "kernel_id": "111340757"}, {"ref": "uuratl/0-91414-lgbm-ensemble", "kernel_id": "111186069"}, {"ref": "rohanrathod02/churn-prediction-lightgbm-eda-wait-loading", "kernel_id": "111835052"}, {"ref": "rohansardar/customer-churn-xgb-pipeline-kfold-residual", "kernel_id": "111034675"}, {"ref": "mariusborel/on-customer-churn", "kernel_id": "111235973"}, {"ref": "sakibbai/churn-prediction", "kernel_id": "111076763"}, {"ref": "n1ghtcube/churn-competition", "kernel_id": "111694508"}, {"ref": "adastroabyssosque/0-914-stacking-xgb-lgbm", "kernel_id": "111130199"}, {"ref": "johnnyhyland/s6e3-pytorch-tuning", "kernel_id": "111663194"}, {"ref": "johnnyhyland/playground-series-s6e3-multi-model-ensemble", "kernel_id": "111394083"}, {"ref": "johnnyhyland/s6e3-reframing-as-bayesian-survival-pymc", "kernel_id": "111241292"}, {"ref": "ajiboyetoluwalase/synthetic-customer-churn-prediction", "kernel_id": "111743063"}, {"ref": "vh10935cse20/customer-churn-xgboost-eda", "kernel_id": "111171940"}, {"ref": "vh10935cse20/customer-churn-catboost", "kernel_id": "111069670"}, {"ref": "thirupatireddy/customer-churn-pipeline", "kernel_id": "111678093"}, {"ref": "chrisk321/s6e3-predict-customer-churn", "kernel_id": "111105130"}, {"ref": "gizemnalbantarslan/pgs6e3", "kernel_id": "111267205"}, {"ref": "lishachaudhari/s6-ep3-eda-fe-xgboost-0-91365-auc", "kernel_id": "111048560"}, {"ref": "jagrutiyuvrajdhangar/predict-customer-1", "kernel_id": "111645666"}, {"ref": "zeeshier/churnbreaker-50-fe-lgb-xgb-cat-rank-ensemble", "kernel_id": "111324357"}, {"ref": "sturarods/ps-s6e3-churn-case-featureengineering-automl", "kernel_id": "111006522"}, {"ref": "mumtazahmadmaitla/multiple-models", "kernel_id": "111977668"}, {"ref": "bilgesaygili/predict-customer-churn1", "kernel_id": "111105006"}, {"ref": "kava1/s6e3-0-914-lb-triple-boost-ensemble-lgbm-xgb-cb", "kernel_id": "111033693"}, {"ref": "belbino/predicting-customer-churn-robust-pipeline", "kernel_id": "111059243"}, {"ref": "belbino/s6e3-churn-newtonl2-stacking-feature-pipelines", "kernel_id": "111173465"}, {"ref": "belbino/quad-tune-4x-speed-parallel-optuna-framework", "kernel_id": "111249341"}, {"ref": "belbino/vortexstack-parallelized-multi-expert-stacking", "kernel_id": "111388769"}, {"ref": "francescoalbanesephd/s6e03-customer-churn-v1", "kernel_id": "111584729"}, {"ref": "fredericnicholson/autogluon-1-5-under-24-hours", "kernel_id": "111291567"}, {"ref": "xreina8/churn-v3-feature-interactions-v2", "kernel_id": "111051277"}, {"ref": "xreina8/churn-v3-feature-interactions", "kernel_id": "111050995"}, {"ref": "aishwaryasingh777/s6e3-eda-xgb-lb-cat-version-2", "kernel_id": "111266658"}, {"ref": "aishwaryasingh777/s6e3-eda-lr-xgb-lb-cat", "kernel_id": "111143246"}, {"ref": "evgendvorkin/xg-lg-cb-stacking-ridge", "kernel_id": "111069036"}, {"ref": "majin1no1shokutaku/predict-customer-churn", "kernel_id": "111655516"}, {"ref": "lightningv08/cv-auc-0-91927-xgboost-bi-tri-target-encoding", "kernel_id": "111496199"}, {"ref": "lightningv08/s6e3-cv-0-91831-fast-xgb-kfold-fe", "kernel_id": "111138446"}, {"ref": "lightningv08/s6e3-cv-0-91849-xgb-kfold-fe-pl", "kernel_id": "111035339"}, {"ref": "ozermehmet/original-data-fe-single-xgb-cv-0-919-lb-0-916", "kernel_id": "111775064"}, {"ref": "egorandreasyan/baseline-customer-churn", "kernel_id": "111011407"}, {"ref": "sdeogade/customer-churn-hill-climb-ensemble", "kernel_id": "111382978"}, {"ref": "sdeogade/customer-churn", "kernel_id": "111978688"}, {"ref": "manish756/esemble-model-and-simple-feature-engineering", "kernel_id": "111881521"}, {"ref": "kingkcabir/customer-churn", "kernel_id": "111381266"}, {"ref": "anthonytherrien/predict-customer-churn-blend", "kernel_id": "111161167"}, {"ref": "citerne/before-vs-after-blend-error-diversity-study", "kernel_id": "111228948"}, {"ref": "citerne/blend-vs-single-model-what-do-we-really-gain", "kernel_id": "111197985"}, {"ref": "westoon/pg-6-3-eda", "kernel_id": "111042292"}, {"ref": "adityamehracr7/playgroundseries-s6e3", "kernel_id": "111183974"}, {"ref": "ashishk1331/predict-customer-churn-submission", "kernel_id": "111245469"}, {"ref": "ashishk1331/predict-customer-churn-analysis", "kernel_id": "111231001"}, {"ref": "ericemerich/0-90782-kfold-xgbclassifier-simple-eda", "kernel_id": "111079812"}, {"ref": "yusuphabojang/yusupha-customer-churn", "kernel_id": "111881912"}, {"ref": "mehreenrahman/s6e3-ensemble-optuna-tuning", "kernel_id": "111824009"}, {"ref": "gourabr0y555/catboosting-with-polynomial-features", "kernel_id": "111627791"}, {"ref": "rupankarmajumdar/predict-customer-churn-s6e3-eda-baseline", "kernel_id": "111013443"}, {"ref": "rupankarmajumdar/s6e3-predict-customer-churn-model-blending", "kernel_id": "111191552"}, {"ref": "sasha1111/churn-eda-cat-lgbm-xgb-lr", "kernel_id": "111037453"}, {"ref": "vidushianand09/stacked-gbm-ensemble-with-smote-cv-auc-0-89", "kernel_id": "111137542"}, {"ref": "suhanigupta04/playground-series-s6e3", "kernel_id": "111120579"}, {"ref": "sneharangole/customer-churn-xgboost-score-0-91281", "kernel_id": "111243425"}, {"ref": "profodonnell/gradient-boosting-starter-code", "kernel_id": "111082764"}, {"ref": "arnavsuiiiiiiiiiiii/gemini-vs-chatgpt-vs-grok", "kernel_id": "111012602"}, {"ref": "keyadobriyal/customer-churn-rf", "kernel_id": "111029300"}, {"ref": "hbistechie/churn-prediction-gbdts-nn", "kernel_id": "111894913"}, {"ref": "cartoonistbeard/ps6e3-eda-baseline-cv-0-916248", "kernel_id": "111033252"}, {"ref": "dimong4/predict-customer-churn", "kernel_id": "111034466"}, {"ref": "emreduman05/customer-churn-eda", "kernel_id": "111369866"}, {"ref": "marawaneslam/predict-churn-probability-evaluated-on-roc-auc", "kernel_id": "111082428"}, {"ref": "debasmita1/s6e3-predict-customer-churn", "kernel_id": "111650656"}, {"ref": "badalkrsharma/rank-blend-cv-0-91865-xgb-lgb-cat", "kernel_id": "111399876"}, {"ref": "bennykn8/predict-customer-churn-eda-logisticreg-baseline", "kernel_id": "111693354"}, {"ref": "muhammaddanyalmalik/customer-churn-eda-baseline-model-2026", "kernel_id": "111714480"}, {"ref": "avijitgiri/customer-churn-prediction-ml", "kernel_id": "111981828"}, {"ref": "arunkumaroraon/customer-churn-machine-learning-life-cycle", "kernel_id": "111236775"}, {"ref": "harrykesh/first-notebook-eda", "kernel_id": "111849383"}, {"ref": "fdavidsantillan/churn-prediction-graph-neural-networks", "kernel_id": "111795168"}, {"ref": "fdavidsantillan/end-to-end-customer-churn-prediction-segmentation", "kernel_id": "111274360"}, {"ref": "rohit4468/catboost-lightbgm-optuna-and-feature-selection", "kernel_id": "111676442"}, {"ref": "haradibots/logisticregression", "kernel_id": "111034534"}, {"ref": "haradibots/5-fold-stratified-lightgbm-high-capacity", "kernel_id": "111036090"}, {"ref": "haradibots/categorical-handling-native-lightgbm", "kernel_id": "111042443"}, {"ref": "muideenilori/predict-customer-churn-xgboost", "kernel_id": "111754091"}, {"ref": "xixama/s6e3-statistical-eda-end-end-ml-auc-0-91912", "kernel_id": "111588021"}, {"ref": "elasgustavoknaus/churn-predict-extratreesclassifier", "kernel_id": "111200784"}, {"ref": "arfazrll/churn-prediction", "kernel_id": "111161007"}, {"ref": "aryannegi93/multi-seed-ensemble-xgboost-lightgbm-0-9165", "kernel_id": "111076879"}, {"ref": "aryannegi93/customer-churn-xgb-lgbm-ensemble", "kernel_id": "111686160"}, {"ref": "n4yuc4/customer-churn-prediction-xgboost-grid-search", "kernel_id": "111975545"}, {"ref": "maheshkannemadugu/predict-customer-churn", "kernel_id": "111662657"}, {"ref": "yantaotang/notebook73fc576b80", "kernel_id": "111238192"}, {"ref": "yusufmurtaza01/s6e3-eda-training", "kernel_id": "111853037"}, {"ref": "saurabhrajvarma/predict-customer-churn-classification-model", "kernel_id": "111701787"}, {"ref": "furkansipahi/churn-prediction-xgboost-0-91633", "kernel_id": "111825374"}, {"ref": "usmankhandilzak/predicting-customer-churn-0-90840", "kernel_id": "111343910"}, {"ref": "nguyenthimungk18hl/churn-prediction", "kernel_id": "111584986"}, {"ref": "minhduonq/eda-comprehensive", "kernel_id": "111311091"}, {"ref": "hariharan24s/eda-feature-engineering-catboost-xgb-gpu", "kernel_id": "111673605"}, {"ref": "rattans/customer-churn-exploring-data", "kernel_id": "111365295"}, {"ref": "gehadabdulaziz/customer-churn-prediction-ensemble-feature-eng", "kernel_id": "111533163"}, {"ref": "kodaifukuda0311/churn-prediction-218fe-xgb-multiseed-nested-cv", "kernel_id": "111024299"}, {"ref": "iwayansatya/s6e3-kaggle-playground-using-ensemble-for-newbie", "kernel_id": "111031706"}, {"ref": "furkangazidinler/customer-churn-with-xgboost", "kernel_id": "111327401"}, {"ref": "theallkeeeymist/customer-churn", "kernel_id": "111067666"}, {"ref": "msama01/0-9-auc-starter-baseline-optuna-simple-blend", "kernel_id": "111859688"}, {"ref": "skarin/ps-s6e3-telecom-churn-lgbm-fe-shap-baseline", "kernel_id": "111033305"}, {"ref": "rifkybntng/predict-customer-churn", "kernel_id": "111037146"}, {"ref": "aiexplorer77/customer-churn-prediction", "kernel_id": "111043987"}, {"ref": "gabrielcaramori/comp-predcustomerchurn", "kernel_id": "111908068"}, {"ref": "abdullahsafwan333/lgb-xgb-cat-optuna-gpu-ensemble-auc-0-9168", "kernel_id": "111358758"}, {"ref": "nabasaikia/customerchurn", "kernel_id": "111079926"}, {"ref": "ibrahimkhalilullah22/basic-eda-of-customer-churn", "kernel_id": "111572414"}, {"ref": "mah20050/proactive-churn-radar", "kernel_id": "111020320"}, {"ref": "gurusingh1834/customer-churn-0-91253-auc", "kernel_id": "111053148"}, {"ref": "rhythmghai/stacked-ensemble-for-customer-churn-prediction", "kernel_id": "111416382"}, {"ref": "miaadnabizadeh/predict-customer-churn-catboost", "kernel_id": "111778664"}, {"ref": "julpaa/churn-prediction-competition", "kernel_id": "111245509"}, {"ref": "calc5716/xgboost-model", "kernel_id": "111662564"}, {"ref": "trnhquangminh140/predict-customer-churn-minh", "kernel_id": "111985239"}, {"ref": "z4y4zz/predict-customer-churn", "kernel_id": "111672687"}, {"ref": "avikdas567/xgb-lightgbm-catboost-ensemble-for-customer-churn", "kernel_id": "111177917"}, {"ref": "marwanyasserhassan/customer-churn-prediction-ma-1", "kernel_id": "111532605"}, {"ref": "sigmaborov/ps-s6e3-xgboost-feature-engineering-baseline", "kernel_id": "111012735"}, {"ref": "elzaim/logistic-regression-model-competition", "kernel_id": "111462034"}, {"ref": "saraortizc/s6e3-churn-prediction-optuna-tuning-ensemble", "kernel_id": "111129947"}, {"ref": "gabewinterrowd/ps-s6e3-catboost", "kernel_id": "111881077"}, {"ref": "i43wei/notebook70cb645c3c", "kernel_id": "111332730"}, {"ref": "sohailkhanlml/heavy-feature-engineering-s6e3-churn", "kernel_id": "111164506"}, {"ref": "sohailkhanlml/0-918117-cv-auc-s6e3-only-for-learners", "kernel_id": "111139605"}, {"ref": "rawashishsin/customer-churn-starter", "kernel_id": "111130621"}, {"ref": "rawashishsin/feature-engineering-single-xgboost-baseline", "kernel_id": "111458212"}, {"ref": "chirag6668/churn-predictions-update-version-of-lightbgm", "kernel_id": "111734147"}, {"ref": "chirag6668/churn-predictions-lightgbm", "kernel_id": "111661219"}, {"ref": "chirag6668/churn-eda-xgboost-guide", "kernel_id": "111624329"}, {"ref": "gowthamdd/customerchurn", "kernel_id": "111167472"}, {"ref": "furqonaryadana/0-917-churn-prediction-imbalancehandling-stacking", "kernel_id": "111309218"}, {"ref": "majjjvinaykumar/notebook6af6962256", "kernel_id": "111471617"}, {"ref": "majjjvinaykumar/notebook617b4bd766", "kernel_id": "111392890"}, {"ref": "theflyingcow/customer-churn-playground", "kernel_id": "111398691"}, {"ref": "ladiposamson/customer-churn-march-2026", "kernel_id": "111469321"}, {"ref": "itsrvhere/s6e3-top10-stacking-ensemble", "kernel_id": "111991296"}, {"ref": "celinags/probabilidad", "kernel_id": "111249058"}, {"ref": "quangnguynv/xgb-churn-prediction", "kernel_id": "111039568"}, {"ref": "saifhany259/predict-customer-churn-acc-0-91773", "kernel_id": "111108296"}, {"ref": "kacchanwriting/20260306-oof-jp", "kernel_id": "111387224"}, {"ref": "kacchanwriting/20260310-churn-v7", "kernel_id": "111669714"}, {"ref": "kacchanwriting/20260306-baseline-lightgbm-jp", "kernel_id": "111364862"}, {"ref": "europarinyaprach/predict-customer-churn", "kernel_id": "111736335"}, {"ref": "nina2025/ps-s6e3-hb3", "kernel_id": "111105946"}, {"ref": "nina2025/ps-s6e3-hb2", "kernel_id": "111019173"}, {"ref": "nina2025/ps-s6e3-hb5-4", "kernel_id": "111827274"}, {"ref": "livegineer/customer-churn-eda-feature-engineer-xgboost", "kernel_id": "111638689"}, {"ref": "yashanathaniel/lightgbm-with-isotonic-calibration", "kernel_id": "111106972"}, {"ref": "nishu65/ultimate-grid-search-ensemble", "kernel_id": "111456250"}, {"ref": "nishu65/data-statistics-eda", "kernel_id": "111604852"}, {"ref": "nishu65/complete-optimized-churn-prediction", "kernel_id": "111709861"}, {"ref": "nishu65/enhanced-churn-prediction", "kernel_id": "111171667"}, {"ref": "nishu65/fixed-multi-model-ensemble", "kernel_id": "111173858"}, {"ref": "nishu65/s6e3-lgb-only", "kernel_id": "111090215"}, {"ref": "prabhpreetsingh5/lgm-ct-hb-lg", "kernel_id": "111312367"}, {"ref": "prabhpreetsingh5/10-fold-fe-optimized-lgb-xgb-cb-ensemble-baseline", "kernel_id": "111125386"}, {"ref": "prabhpreetsingh5/optuna-top-5-models-multi-seed-ensemble", "kernel_id": "111142449"}, {"ref": "payaldhokane/predict-customer-churn", "kernel_id": "111296758"}, {"ref": "stephentarter/ps-s06e03-experiment-setup", "kernel_id": "111198762"}, {"ref": "stephentarter/ps-s06e03-eda", "kernel_id": "111198989"}, {"ref": "stephentarter/ps-s06e03-data-visualization", "kernel_id": "111198882"}, {"ref": "tamerlanomralinov/churn-prediction-xgboost-lgbm-severe-fe", "kernel_id": "111381405"}, {"ref": "okyashgajjar/customer-churn-class-imbalance-hptuning", "kernel_id": "111478633"}, {"ref": "phonemoe/customer-churn-prediction-xgb", "kernel_id": "111247385"}, {"ref": "marcomars/notebook049b3f54a9", "kernel_id": "111331401"}, {"ref": "abhishekgupta56447/weighted-ensemble-churn-prediction", "kernel_id": "111052980"}, {"ref": "renanbragac/s06e03-churn-prediction-rf-xgb", "kernel_id": "111396217"}, {"ref": "ishiigoswami/customer-churn-prediction", "kernel_id": "111626396"}, {"ref": "djenkivanov/xgb-cb-lgbm-oof-fe-te-enc-kfold-ensemble", "kernel_id": "111008760"}, {"ref": "anujvermamarch/customer-churn-predict", "kernel_id": "111447243"}, {"ref": "abhinamdutta/predicting-customer-churn", "kernel_id": "111673229"}, {"ref": "yumekohata/xgboost-5-fold-cv-baseline-auc-0-91384", "kernel_id": "111200396"}, {"ref": "yumekohata/s6e3-eda-catboost-baseline", "kernel_id": "111040575"}, {"ref": "mustak1217/customer-churn-lightgbm", "kernel_id": "111168935"}, {"ref": "mustak1217/customer-churn-lightgbm-baseline", "kernel_id": "111162312"}, {"ref": "rahulchauhan016/churn-predict-s6e3", "kernel_id": "111307590"}, {"ref": "mohankrishnathalla/predict-customer-churn", "kernel_id": "111005962"}, {"ref": "myadiamond/eda-feature-engineering-catboost-lightgbm", "kernel_id": "111500308"}, {"ref": "saamhm/lightgbm-catboost-feature-engineering-gpu", "kernel_id": "111375187"}, {"ref": "ekremkutukculer/customer-churn-prediction-ridge-stacking-pipelin", "kernel_id": "111010746"}, {"ref": "ekremkutukculer/predict-customer-churn-auc-0-91745", "kernel_id": "111996385"}, {"ref": "sehaj1104/xgb-predict-customer-churn-bestest", "kernel_id": "111063000"}, {"ref": "sehaj1104/xgb-predict-customer-churn-best", "kernel_id": "111062496"}, {"ref": "sehaj1104/s6e3-churn-xgb-hgb-ensemble-v1", "kernel_id": "111032151"}, {"ref": "sehaj1104/playground-s6e3-5-notebook-rank-ensemble", "kernel_id": "111109980"}, {"ref": "yuua201/notebook-predict-customer-churn", "kernel_id": "111825305"}, {"ref": "meenalsinha/predict-customer-churn", "kernel_id": "111106485"}, {"ref": "karol05/predicting-customer-churn-1", "kernel_id": "111780125"}, {"ref": "srijadechowdhury/basic-eda", "kernel_id": "111107751"}, {"ref": "damienroche/playground-series-s6e3-rf-or-xgboost", "kernel_id": "111015518"}, {"ref": "aramelheni/predict-customer-churn", "kernel_id": "111779341"}, {"ref": "mohmedelsbaay/customer-churn-prediction-xgboost", "kernel_id": "111020110"}, {"ref": "samirmidris/customer-churn-competition-baseline-top-score", "kernel_id": "111079128"}, {"ref": "emanuellcs/predict-customer-churn-xgboost", "kernel_id": "111072123"}, {"ref": "eric15342335/xgb-predict-customer-churn", "kernel_id": "111372654"}, {"ref": "eric15342335/s6e3-fork-xgb-kfold-fe-pl", "kernel_id": "111225714"}, {"ref": "eric15342335/chatgpt-vibe-coding-3xgpu-models-cv-0-9178", "kernel_id": "111213403"}, {"ref": "westleyh/customer-churn", "kernel_id": "111460234"}, {"ref": "eggxiaolu/customer-churn-pre", "kernel_id": "111044026"}, {"ref": "voropanovae/s6e3-customer-churn-eda-xgboostreg-roc-auc-0-91", "kernel_id": "111006369"}, {"ref": "songoku2005/predict-customer-churn", "kernel_id": "111746730"}, {"ref": "pranavsarvaiyya/ml-supervised-project", "kernel_id": "111067819"}, {"ref": "liutpjh/predict-customer-churn", "kernel_id": "111392163"}, {"ref": "meredithmengyishen/ps-s6e3-eda-fe-lr-xgb-cat", "kernel_id": "111953555"}, {"ref": "hilalzerkdemirkan/customer-churn-prediction", "kernel_id": "111802856"}, {"ref": "ehsanfarazmand/predict-customer-churn-pg-6-3", "kernel_id": "111234583"}, {"ref": "kiza123123/trinity-s6e3-phase-1-ratio-experiment-v1", "kernel_id": "111157547"}, {"ref": "kiza123123/trinity-s6e3-optuna-tuning-phase-0", "kernel_id": "111137800"}, {"ref": "kiza123123/trinity-s6e3-final-stacking", "kernel_id": "111141742"}, {"ref": "kiza123123/trinity-protocol-strategic-workflow-audit-s6e3", "kernel_id": "111083044"}, {"ref": "kiza123123/protocol-workflow", "kernel_id": "111086744"}, {"ref": "kiza123123/usisivac-v6-mission-report", "kernel_id": "111626346"}, {"ref": "rommelsharma/customer-churn-pred-ensemble-optuna-tune", "kernel_id": "111119684"}, {"ref": "rommelsharma/customer-churn-high-bin-low-depth-tree", "kernel_id": "111287011"}, {"ref": "adwaittagalpallewar/churn-prediction-optuna-digit-decomposition", "kernel_id": "111464192"}, {"ref": "rohaniyerdev/customer-churn-catboost-with-optuna", "kernel_id": "111414582"}, {"ref": "rohaniyerdev/customer-churn-lightgbm-with-optuna", "kernel_id": "111441210"}, {"ref": "rohaniyerdev/predicting-customer-churn-with-xgboost", "kernel_id": "111534996"}, {"ref": "rohaniyerdev/customer-churn-xgboost-with-optuna", "kernel_id": "111068318"}, {"ref": "rauffauzanrambe/predicting-churn-with-advanced-machine-learning", "kernel_id": "111064924"}, {"ref": "projectugq/notebooka6ea1af530", "kernel_id": "111268584"}, {"ref": "gauravduttaiiitb/org-s6e3-flaml-roc-auc", "kernel_id": "111030189"}, {"ref": "gauravduttaiiitb/org-s6e3-flaml-accuracy", "kernel_id": "111030857"}, {"ref": "gauravduttaiiitb/org-s6e3-flaml-log-loss", "kernel_id": "111030939"}, {"ref": "gauravduttaiiitb/ex1-s6e3-flaml-roc-auc", "kernel_id": "111111164"}, {"ref": "gauravduttaiiitb/s6e3-train-pseudo-autogluon-medium-quality", "kernel_id": "111500338"}, {"ref": "gauravduttaiiitb/ex3-s6e3-flaml-roc-auc-weighted", "kernel_id": "111464777"}, {"ref": "gauravduttaiiitb/s6e3-pseudo-autogluon-medium-quality", "kernel_id": "111460183"}, {"ref": "gauravduttaiiitb/ex3-s6e3-autogluon-medium-quality", "kernel_id": "111475532"}, {"ref": "baladurgag24/eda-feature-engineering-catboost-xgb-gpu", "kernel_id": "111673608"}, {"ref": "mineralez/churn-prediction-with-advanced-models-voting-cla", "kernel_id": "111132993"}, {"ref": "tck1208/auc-0-91927-xgboost-bi-tri-target-encoding", "kernel_id": "111561998"}, {"ref": "tck1208/0-914-churn-prediction-imbalancehandling-stacking", "kernel_id": "111552887"}, {"ref": "chaitanyajamble/predict-customerchurn", "kernel_id": "111713325"}, {"ref": "chaitanyajamble/notebookd5d8441d79", "kernel_id": "111712599"}, {"ref": "rifat2002/predict-customer-churn", "kernel_id": "111553900"}, {"ref": "ayoubelmarhraoui/predict-customer-churn", "kernel_id": "111389657"}, {"ref": "ektarr/eda-customer-churn-s6e3", "kernel_id": "111057993"}, {"ref": "ekelvin01/customer-churn-prediction-xgboot", "kernel_id": "111752426"}, {"ref": "krashski/customer-churn-detailed-walkthrough-auc-0-91244", "kernel_id": "112423029"}, {"ref": "jamesmcguigan/churn-h2o", "kernel_id": "112617581"}, {"ref": "jayhawk1900/v3-gpu-ensemble-v11-features-kaggle", "kernel_id": "112981539"}, {"ref": "rafanikitas/customer-churn-quick-eda-tuning-meta-model", "kernel_id": "112309270"}, {"ref": "susree64/predict-customer-churn-gradient-boosting", "kernel_id": "112287578"}, {"ref": "esppik/stacking-classifier", "kernel_id": "112344651"}, {"ref": "docxian/ps-s6-e03-churn-prediction", "kernel_id": "112258163"}, {"ref": "huzaifa242/predict-customer-churn", "kernel_id": "112550997"}, {"ref": "include4eto/lightautoml-lama-fe", "kernel_id": "112602902"}, {"ref": "sumit2900/plaground-s6e3", "kernel_id": "112462358"}, {"ref": "josephs068/xb-fe", "kernel_id": "112608864"}, {"ref": "dtakeichi/predict-customer-churn-ensemble", "kernel_id": "112068822"}, {"ref": "animeshbagchi14/read-before-you-train-complete-churn-eda", "kernel_id": "112277156"}, {"ref": "levshaazz/chris-deotte-v2-march-12-gpu", "kernel_id": "112037284"}, {"ref": "levshaazz/chris-deotte-improved-gpu-ensemble", "kernel_id": "112018193"}, {"ref": "levshaazz/final-gpu-chris-deotte-march-15", "kernel_id": "112268800"}, {"ref": "levshaazz/kaggle-final-optimized-march-19", "kernel_id": "112676926"}, {"ref": "hittmg/260314playground-s6e3day3-2-post-process", "kernel_id": "112165709"}, {"ref": "hittmg/260314playground-s6e3day3-3-stop-dropping", "kernel_id": "112170632"}, {"ref": "hittmg/260314playground-s6e3day3-4-submodels", "kernel_id": "112138117"}, {"ref": "hittmg/260321playground-s6e3day4-2-eval-features", "kernel_id": "112976383"}, {"ref": "hittmg/260321playground-s6e3day4-1-feature-analysis", "kernel_id": "112972775"}, {"ref": "hittmg/260321playground-s6e3day4-3-less-features", "kernel_id": "112995131"}, {"ref": "hittmg/260321playground-s6e3day4-4-less-features", "kernel_id": "112996429"}, {"ref": "hittmg/260321playground-s6e3day4-5-catboost-features", "kernel_id": "112997146"}, {"ref": "ivanblch/seminar1-26", "kernel_id": "112764970"}, {"ref": "shuntakinami/three-trees-ensemble", "kernel_id": "112461402"}, {"ref": "yihanguo/lightgbm-catboost-seed-ensembling-customer-churn", "kernel_id": "112008981"}, {"ref": "joanmalibari/customer-churn-prediction-using-random-forest", "kernel_id": "112209789"}, {"ref": "seungjunleeofficial/s6e3-0-91625-eda-realmlp-optuna-k-fold", "kernel_id": "112258853"}, {"ref": "seungjunleeofficial/s6e3-eda-feature-engineering-catboost", "kernel_id": "112639564"}, {"ref": "seungjunleeofficial/churn-experiment", "kernel_id": "112472016"}, {"ref": "nicolepatterson8910/deep-dive-customer-churn-prediction", "kernel_id": "112042002"}, {"ref": "blamerx/s6e3-tabm-advanced-features-0-91898-cv", "kernel_id": "112193477"}, {"ref": "ameythakur20/customer-churn-pseudo-labeled-xgboost-ensemble", "kernel_id": "112137908"}, {"ref": "ameythakur20/predict-customer-churn-xgb-catboost-ensemble", "kernel_id": "112992266"}, {"ref": "barbagrande007/bbg007-churn-multiple-nn-s-lr-stacking", "kernel_id": "112372694"}, {"ref": "imagimaniac/churnprediction", "kernel_id": "112289728"}, {"ref": "samuelkamau/customer-churn-prediction", "kernel_id": "112514962"}, {"ref": "vijay20213/customer-churn-prediction-with-91-68-accuracy", "kernel_id": "112832646"}, {"ref": "diveyanand/customer-churn-prediction-eda-and-baseline", "kernel_id": "112733136"}, {"ref": "sridharkadhiri/eda-on-churn-analysis", "kernel_id": "112156503"}, {"ref": "edsheeren/xgboost-rfc-and-lightgbm-advance-0-9103", "kernel_id": "112709068"}, {"ref": "edsheeren/xgboost-rfc-and-lightgbm-0-90", "kernel_id": "112455873"}, {"ref": "danielgalili/predict-customer-churn-march-26", "kernel_id": "112621222"}, {"ref": "faresashraf2000/dshandler-xgb", "kernel_id": "112429069"}, {"ref": "yunsuxiaozi/pss6e3-tabicl-cv-0-913854", "kernel_id": "112101226"}, {"ref": "itasps/ps-s6e3-interpretation-of-lr-results-blend", "kernel_id": "112328575"}, {"ref": "chovyxu/playgrounds2026-ep3-neural-networks", "kernel_id": "112360628"}, {"ref": "vinodkumargurjar/end-to-end-churn-classification-guide", "kernel_id": "112061279"}, {"ref": "mumtazahmadmaitla/ps-s6e3-lgbm-plus-xgb-blend", "kernel_id": "112907000"}, {"ref": "thomaswesthead/vibe-coded-5xgpu-models-cv-0-9182", "kernel_id": "112515608"}, {"ref": "jmascacibar/eda-predict-customer-churn", "kernel_id": "112026806"}, {"ref": "nathanmutakyawa/customer-churn-eda", "kernel_id": "112217374"}, {"ref": "mdyusufmurtaza/s6e3-realmlp-s1234", "kernel_id": "112837987"}, {"ref": "mdyusufmurtaza/s6e3-realmlp-s2025", "kernel_id": "112834220"}, {"ref": "mdyusufmurtaza/s6e3-lgbm-0-91610", "kernel_id": "112475800"}, {"ref": "huseyincenik/s6e3-playground-churn-eda-prediction", "kernel_id": "112258552"}, {"ref": "tasneemfaisal/customer-churn-prediction", "kernel_id": "112820936"}, {"ref": "ramiro20/churn-prediction-playground-series-season-6-ep", "kernel_id": "112043612"}, {"ref": "eastonlarson/predict-customer-churn", "kernel_id": "112636058"}, {"ref": "ashnaimtiaz/customerchurn6", "kernel_id": "112950296"}, {"ref": "bhaskerpaul/predict-customer-churn", "kernel_id": "112738435"}, {"ref": "junaid512/predict-customer-churn", "kernel_id": "112497755"}, {"ref": "smrtkaggle/customerchurnpredictor-stratifiedkfold", "kernel_id": "112810769"}, {"ref": "kirikiti/sensitivity-analysis-xgboost-e6s3", "kernel_id": "112368196"}, {"ref": "kirikiti/class-logistic-reg-e6s3", "kernel_id": "112169518"}, {"ref": "roshaank20/customer-churn-prediction", "kernel_id": "112540649"}, {"ref": "akashkawle/ps-s6e3-lgbm-xgb-blend", "kernel_id": "112685328"}, {"ref": "tusharbhardwaj0409/s6e3-fe-optuna", "kernel_id": "112082355"}, {"ref": "vedikagupta0/catboost-lgbm-xgb-churn-prediction-0-913", "kernel_id": "112391357"}, {"ref": "shaun4761/lightgbm-with-optuna-and-kfold-competition-data", "kernel_id": "112279113"}, {"ref": "hayyafatima7/customer-s-churn-prediction", "kernel_id": "112386228"}, {"ref": "debanganghosh/0-92-score-xgboost-catboost-lightgbm", "kernel_id": "112048607"}, {"ref": "yantaotang/realmlp-lb-0-91496", "kernel_id": "112106837"}, {"ref": "yusufmurtaza01/s6e3-blend-4", "kernel_id": "112838160"}, {"ref": "yusufmurtaza01/s6e3-realmlp-s42", "kernel_id": "112804768"}, {"ref": "yusufmurtaza01/s6e3-cb", "kernel_id": "112473753"}, {"ref": "yusufmurtaza01/s6e3-training", "kernel_id": "112172270"}, {"ref": "yusufmurtaza01/s6e3-lgbm", "kernel_id": "112367806"}, {"ref": "yusufmurtaza01/s6e3-blending", "kernel_id": "112189959"}, {"ref": "yusufmurtaza01/s6e3-blend-2", "kernel_id": "112199121"}, {"ref": "yusufmurtaza01/s6e3-xgb", "kernel_id": "112242775"}, {"ref": "yusufmurtaza01/s6e3-blend-3", "kernel_id": "112254602"}, {"ref": "amanatar/predict-customer-churn", "kernel_id": "112631778"}, {"ref": "rizaihamj/kp4-gvu", "kernel_id": "112148171"}, {"ref": "cheven/notebook5587ab71a4", "kernel_id": "112144986"}, {"ref": "vivekumar001/predict-customer-churn-0-913-playground-problem", "kernel_id": "112933878"}, {"ref": "wellj7/notebook9a2be019e6", "kernel_id": "112233202"}, {"ref": "arunsworkspace/churn-prediction", "kernel_id": "112322936"}, {"ref": "reguelpangaribuan/predict-customer-churn-catboost-lightgbm-xgb", "kernel_id": "112804944"}, {"ref": "prathameshrenuse/customer-churn-competition", "kernel_id": "112510791"}, {"ref": "manasi197/s6e3-bi-gram-tri-gram-te-features", "kernel_id": "112060579"}, {"ref": "nihshu/s6e3-catboost-optuna", "kernel_id": "112566762"}, {"ref": "theallkeeeymist/customerchurn-tabnet", "kernel_id": "112453548"}, {"ref": "kenjalenikhil14/churn-random-forest", "kernel_id": "112256286"}, {"ref": "thnhvlngc/customer-churn-prediction-s6e3", "kernel_id": "112550108"}, {"ref": "subashgautam088/customer-churn-predictions", "kernel_id": "112387141"}, {"ref": "purvanshsahu/customer-churn-prediction", "kernel_id": "112192000"}, {"ref": "purvanshsahu/customer-churn-2", "kernel_id": "112206551"}, {"ref": "zeeshankhalid666/churn-analysis-catboost-lightgbm-xgboost", "kernel_id": "112195696"}, {"ref": "ibrahimkhalilullah22/xgboost-0-91394-customer-churn", "kernel_id": "112080759"}, {"ref": "ibrahimkhalilullah22/cataboost-0-91329-customer-churn", "kernel_id": "112700370"}, {"ref": "hanggallkhamsuren/customer-churn", "kernel_id": "112762494"}, {"ref": "abhineetsahay/customer-churn", "kernel_id": "112333875"}, {"ref": "akalyyanahmed/s6e3-v4", "kernel_id": "112664769"}, {"ref": "akalyyanahmed/customer-churn-v2", "kernel_id": "112450863"}, {"ref": "mrgulia/basline-models-with-87-recall-and-eda", "kernel_id": "112256045"}, {"ref": "mrgulia/churn-prediction-logistic-regression-scor-90", "kernel_id": "112335559"}, {"ref": "milamole/ps-s6e3-xgboost-mutual-information-scoring", "kernel_id": "112461134"}, {"ref": "itsrvhere/s6e3-original-fusion-ultimate", "kernel_id": "112098097"}, {"ref": "prottoy3182/custom-charn-is-gotta-fuck", "kernel_id": "112454621"}, {"ref": "nina2025/ps-s6e3-hb15", "kernel_id": "112426146"}, {"ref": "dominicfansisici/gnn-starter-cv-0-9155-with-hill-climbing-b8e893", "kernel_id": "112446824"}, {"ref": "manojkumarmekala/chinnujunnu-2nd", "kernel_id": "112467019"}, {"ref": "manojkumarmekala/mekalamanojkumar1009", "kernel_id": "112463666"}, {"ref": "artheon/xgboost-churn-prediction-0-91645-auc", "kernel_id": "112199297"}, {"ref": "artheon/xgboost-catboost-lightgbm-churn-prediction", "kernel_id": "112836899"}, {"ref": "artheon/lightgbm-churn-prediction-0-9167-auc", "kernel_id": "112703600"}, {"ref": "artheon/catboost-churn-prediction-0-9162-auc", "kernel_id": "112606779"}, {"ref": "lalit7881/predicting-customer-churn-using-ml", "kernel_id": "112987133"}, {"ref": "bobbyyadav1950/churn-xgboost-lightgbm-catboost", "kernel_id": "112355265"}, {"ref": "ssssws/cv-0-91689-xgb-lgb-multi-seed-ensemble", "kernel_id": "112255041"}, {"ref": "luckysingh3003/customer-churn-prediction-xgboot", "kernel_id": "112388472"}, {"ref": "hongngc12/pso-lightgb-86-4", "kernel_id": "112792166"}, {"ref": "aslamsayyad1/s6e3-customer-churn-v4", "kernel_id": "112020899"}, {"ref": "aslamsayyad1/s6e3-customer-churn-v3", "kernel_id": "112174799"}, {"ref": "ankit02yadav/ps-s6e3-predict-customer-churn", "kernel_id": "112358224"}, {"ref": "ankit02yadav/ps-s6e3-predict-customer-churn-gpu", "kernel_id": "112373397"}, {"ref": "saizawoo/customer-churn-prediction", "kernel_id": "112403153"}, {"ref": "saizawoo/gnn-starter", "kernel_id": "112401243"}, {"ref": "saamhm/cat-lgb-xgb-custom-oof-ensemble-pipeline", "kernel_id": "112495366"}, {"ref": "jirapatjoon/jirapatruengsri837", "kernel_id": "112446996"}, {"ref": "ahmadzulfiqar001/predict-customer-churn-professional-eda", "kernel_id": "112840730"}, {"ref": "narililly/ultimate-customer-churn-prediction-24-features", "kernel_id": "112097148"}, {"ref": "yuvashankarnarayana/predict-customer-churn-competition", "kernel_id": "112465985"}, {"ref": "mhamza0810/ps-s6e3-pytabkit-ensemble-baseline", "kernel_id": "112277503"}, {"ref": "dimamshirokov/predict-customer-churn-accuracy-0-85", "kernel_id": "112509250"}, {"ref": "sarikondamanoharraju/predict-customer-churn-season-6-episode", "kernel_id": "112107784"}, {"ref": "harshalpawar1208/notebook1eddd7daad", "kernel_id": "112454560"}, {"ref": "meredithmengyishen/ps-s6e3-stratifiedkfold-pipeline", "kernel_id": "112656029"}, {"ref": "maazshaikh05/predict-customer-chrun", "kernel_id": "112587915"}, {"ref": "amitroyantu/eda-ensemble-blending-0-916-auc", "kernel_id": "112918268"}, {"ref": "manabbarman/customer-churn", "kernel_id": "112119704"}, {"ref": "manabbarman/xgboost-feature-importance", "kernel_id": "112118216"}, {"ref": "kiza123123/usisivac-v6-churn-lgb-xgb-rank-blend", "kernel_id": "112227606"}, {"ref": "demirkadir04/churn-prediction-competition", "kernel_id": "112517980"}, {"ref": "gauravduttaiiitb/sql-query-for-datasets", "kernel_id": "112843151"}, {"ref": "rohitv18/customer-churn-prediction", "kernel_id": "112815962"}, {"ref": "taeyeon0102/customer-churn-preprocessing", "kernel_id": "112065600"}, {"ref": "subaru486/ps-s6e3-ridge-xgb-cross-orig-proba-134-features", "kernel_id": "112693810"}, {"ref": "subaru486/ps-s6e3-hierarchical-blend-rank-aware-ensemble", "kernel_id": "112693902"}, {"ref": "subaru486/ps-s6e3-v10-ridge-xgb-two-stage", "kernel_id": "112654283"}, {"ref": "charmy444/0-91525-boosting-ensemble-s6e3", "kernel_id": "112633656"}, {"ref": "bingshaocui/bingshaocui2-1", "kernel_id": "112255891"}, {"ref": "bingshaocui/bingshaocui2-2", "kernel_id": "112262079"}, {"ref": "bingshaocui/notebook3543c564b4", "kernel_id": "112449809"}, {"ref": "bingshaocui/5-stack-ensemble", "kernel_id": "112979168"}, {"ref": "rinohata/churn-prediction-ensemble", "kernel_id": "112470607"}, {"ref": "jankuper192/let-s-try-python-version-2", "kernel_id": "113054553"}, {"ref": "huyenle/xgboost-catboost-lightgbm-and-bartz", "kernel_id": "113153256"}, {"ref": "include4eto/autogluon-features-n-gram-predicting-churn", "kernel_id": "113734343"}, {"ref": "obiaf88/churn-predictions-embeddings-xgb", "kernel_id": "113107009"}, {"ref": "wesleyhuan/baseline-xgb-classification-season-6-episode-3", "kernel_id": "113398153"}, {"ref": "wesleyhuan/baseline-xgb-season-6-episode-3", "kernel_id": "113267604"}, {"ref": "hittmg/260328playground-s6e3day5-1-clustering", "kernel_id": "113820955"}, {"ref": "ivanblch/seminar3-2026", "kernel_id": "113602333"}, {"ref": "ivanblch/seminar2-2026", "kernel_id": "113378727"}, {"ref": "muhsinak/customer-churn-prediction", "kernel_id": "113923225"}, {"ref": "paytonyau/the-churn-chronicles", "kernel_id": "113910968"}, {"ref": "shuntakinami/three-trees-ensemble-with-oputuna", "kernel_id": "113038062"}, {"ref": "shuntakinami/lgbm-visualizing-data-using-t-sne-and-analyze-shap", "kernel_id": "113336008"}, {"ref": "bernayilmaz/eda-catboost-lgbm-xgb-optuna", "kernel_id": "113132388"}, {"ref": "sani84/tabm-baseline-for-playground-series-s6e3", "kernel_id": "113013329"}, {"ref": "divakartika/churn-prediction", "kernel_id": "113508355"}, {"ref": "seungjunleeofficial/feature-eng-catboost-lightgbm-xgb-ensemble", "kernel_id": "113315303"}, {"ref": "generalcube/churn-xgboost-stacking-eda-feature-engine", "kernel_id": "113426622"}, {"ref": "santosh1974/gpu-accelerated-ens-lgbm-xgb-cat-stacking", "kernel_id": "113661464"}, {"ref": "santosh1974/churn-blending", "kernel_id": "113882320"}, {"ref": "santosh1974/breaking-the-plateau-a-tiered-triple-stacknig-app", "kernel_id": "113351890"}, {"ref": "santosh1974/ensemble-advanced-interaction-feat-rank-blen", "kernel_id": "113149244"}, {"ref": "santosh1974/rank-blended-ensemble-cat-xgb-lgbm", "kernel_id": "113147029"}, {"ref": "santosh1974/churn-first-submission", "kernel_id": "113126275"}, {"ref": "santosh1974/boosting-trio-catboost-xgb-lgbm-advanced-fe", "kernel_id": "113139345"}, {"ref": "santosh1974/diversified-ensemble-meta-stack-optimized-binn", "kernel_id": "113214253"}, {"ref": "coderanand/new-pred", "kernel_id": "113458547"}, {"ref": "nameditor/42x-churn-difference-contract-strategy-top-20", "kernel_id": "113175220"}, {"ref": "ameythakur20/customer-churn-prediction-121-fe-20-cv-stacking", "kernel_id": "113069954"}, {"ref": "ameythakur20/churn-prediction-155fe-quad-hill-climbing", "kernel_id": "113901326"}, {"ref": "itsyoursumit/s6e3-submi2", "kernel_id": "113629760"}, {"ref": "syahwizadean/churn-prediction-full-encoding-strategy", "kernel_id": "113955037"}, {"ref": "syahwizadean/churn-prediction-strategic-tuning-for-0-80-accur", "kernel_id": "113958081"}, {"ref": "syahwizadean/mathematics-of-churn-simple-statistical-eda", "kernel_id": "113945372"}, {"ref": "codingmaster24/predict-customer-churn-v4", "kernel_id": "113729032"}, {"ref": "ardiyanto24/tccp-preprocessing-v2", "kernel_id": "113859627"}, {"ref": "likithagedipudi/fast-churn-prediction-xgb-lgbm", "kernel_id": "113454295"}, {"ref": "itasps/ps-s6e3-linear-regression", "kernel_id": "113451950"}, {"ref": "kava1/12-model-gbdt-ensemble-direct-auc-optimization", "kernel_id": "113084430"}, {"ref": "mdyusufmurtaza/s6e3-blending", "kernel_id": "113698294"}, {"ref": "mdyusufmurtaza/s6e3-rgf-s1234", "kernel_id": "113081910"}, {"ref": "mdyusufmurtaza/s6e3-rgf-s42", "kernel_id": "113023218"}, {"ref": "mrsimple07/score-0-91-cv-auc", "kernel_id": "113854490"}, {"ref": "safar1/basic-sub-1", "kernel_id": "113107834"}, {"ref": "safar1/lb-tops-1", "kernel_id": "113524430"}, {"ref": "petrumihaicraciun/pytorch-predict-customer-churn", "kernel_id": "113293361"}, {"ref": "snjeev/fe-xgb-tune-opitmization", "kernel_id": "113086843"}, {"ref": "sakhawathossen/churn-prediction-ensemble-pipeline-0-91", "kernel_id": "113396434"}, {"ref": "robinamirbahar/predict-customer-churn-robina", "kernel_id": "113886584"}, {"ref": "bennykn8/predict-customer-churn-xgboost-w-optuna", "kernel_id": "113928519"}, {"ref": "rohit8527kmr7518/ps-s6e3-xgb-nested-cv-10x5-pipeline", "kernel_id": "113370547"}, {"ref": "fall2fire/customer-churn-prediction-autogluon", "kernel_id": "113091374"}, {"ref": "fall2fire/customer-churn-prediction-catboost-0-91497", "kernel_id": "113036110"}, {"ref": "hafsarouchdi/xgboost-lightgbm-catboost-ensemble-shap-s6e3", "kernel_id": "113888237"}, {"ref": "eliffirinci/submit-12", "kernel_id": "113072232"}, {"ref": "muhammaddanyalmalik/lightgbm-catboost-target-encoding-optuna", "kernel_id": "113623233"}, {"ref": "harrykesh/when-you-don-t-have-time-let-automl-do-it", "kernel_id": "113141613"}, {"ref": "harrykesh/fork-of-when-you-don-t-have-time-let-automl-do-it", "kernel_id": "113147943"}, {"ref": "liufengkai/blend", "kernel_id": "113882553"}, {"ref": "liufengkai/hill-climbing2-main", "kernel_id": "113927818"}, {"ref": "meermoomin/practice1", "kernel_id": "113982109"}, {"ref": "mojjeed/xgb-overdrive-14-param-optuna-pseudo-labels", "kernel_id": "113193080"}, {"ref": "hyunuk123/xgboost-stratified-k-fold-auc-roc-0-9161", "kernel_id": "113568160"}, {"ref": "aryannegi93/s6e3-churn-prediction-xgb-lgbm", "kernel_id": "113575711"}, {"ref": "yusufmurtaza01/s6e3-tabicl-s2025", "kernel_id": "113138884"}, {"ref": "yusufmurtaza01/s6e3-rgf-s2025", "kernel_id": "113019727"}, {"ref": "yusufmurtaza01/s6e3-blend-5", "kernel_id": "113000390"}, {"ref": "omkarkashid1168/kaggles6e3", "kernel_id": "113033101"}, {"ref": "daisyarce/notebook1-logistic-and-random-forest", "kernel_id": "113089973"}, {"ref": "daisyarce/lightgbm-and-xgboost-models", "kernel_id": "113090246"}, {"ref": "daisyarce/catboost-xtra-ensembles-etc", "kernel_id": "113936981"}, {"ref": "shukewang0906/ps-s6e3-hb16", "kernel_id": "113981872"}, {"ref": "saurabhrajvarma/lightgbm-xgboost-and-catboost-0-91773", "kernel_id": "113944895"}, {"ref": "poco34/churn-pred-lightgbm-score-0-91164", "kernel_id": "113877549"}, {"ref": "ritikroshan4857/notebookc5121f2be5", "kernel_id": "113496551"}, {"ref": "ritikroshan4857/notebooke977ddd4a2", "kernel_id": "113446254"}, {"ref": "srushtipillare/customer-churn-prediction", "kernel_id": "113374779"}, {"ref": "kuldeepsingh1234/notebook5f875b5ac6", "kernel_id": "113044341"}, {"ref": "rajputvivek23110269/predict-customer-churn-by-catboost", "kernel_id": "113576547"}, {"ref": "ishitabahamnia/predict-customer-churn-ishita", "kernel_id": "113180201"}, {"ref": "faisss7/s6e3-ridge-xgb-n-gram-0-91927-cv-a45b69", "kernel_id": "113665520"}, {"ref": "woodshole/nelder-mead-starter-gpu", "kernel_id": "113909887"}, {"ref": "akalyyanahmed/s6e3-v7", "kernel_id": "113474712"}, {"ref": "akalyyanahmed/s6e3-v8", "kernel_id": "113572019"}, {"ref": "ryotamorimoto/notebook52e3b4ad58", "kernel_id": "113576254"}, {"ref": "hmudassir865/s6e3-detail-eda-ridge-xgb-n-gram-auc-0-919084", "kernel_id": "113895850"}, {"ref": "samikshabansal/churn-predictor-ensemble", "kernel_id": "113666749"}, {"ref": "ebjdoe/ps-s6e3-churn-three-decisions-predict-85pct", "kernel_id": "113045476"}, {"ref": "ebjdoe/s6e3-churn-survival-when-customers-leave", "kernel_id": "113046732"}, {"ref": "rawashishsin/s6e3-updated-single-realmlp-tuned-cv-0-91888", "kernel_id": "113678492"}, {"ref": "chandana2319/newpred", "kernel_id": "113458629"}, {"ref": "furqonaryadana/lgbm-dart-woe-encoding-cpu-only", "kernel_id": "113275072"}, {"ref": "abhishekawasthi151/xgboost-churn-prediction", "kernel_id": "113527388"}, {"ref": "mainaosteennderitu/churn-prediction-ii", "kernel_id": "113694915"}, {"ref": "sanjayadhi/code1", "kernel_id": "113451482"}, {"ref": "tanishsharma001/notebook543a097651", "kernel_id": "113460058"}, {"ref": "ramanduggal/unknown-souls", "kernel_id": "113458549"}, {"ref": "yogeshkardile/churn-predication", "kernel_id": "113626563"}, {"ref": "luisaramirez12/01-predict-customer-churn-submission", "kernel_id": "113172948"}, {"ref": "abdullahasoliman/orla-churn-solver", "kernel_id": "113921903"}, {"ref": "jwang2025learning/version-i", "kernel_id": "113456124"}, {"ref": "jwang2025learning/xgboost-tuning", "kernel_id": "113733711"}, {"ref": "jwang2025learning/lr-tuning", "kernel_id": "113907273"}, {"ref": "jwang2025learning/version-ii", "kernel_id": "113655384"}, {"ref": "dikshathr44/codefuel", "kernel_id": "113452929"}, {"ref": "yuanyuan98/baseline-cat-cv-gpu", "kernel_id": "113223432"}, {"ref": "lancecasimiro/churn", "kernel_id": "113943018"}, {"ref": "palpawan12/xgboot-predict-customer-churn", "kernel_id": "113521009"}, {"ref": "palpawan12/xgboot-predict-churn", "kernel_id": "113680808"}, {"ref": "nina2025/ps-s6e3-hb21", "kernel_id": "113482693"}, {"ref": "nina2025/ps-s6e3-hb16-1-top-43", "kernel_id": "113883669"}, {"ref": "nina2025/ps-s6e3-hb20", "kernel_id": "113431226"}, {"ref": "nina2025/ps-s6e3-hb17", "kernel_id": "113066406"}, {"ref": "nina2025/ps-s6e3-hb29", "kernel_id": "113977556"}, {"ref": "stephentarter/ps-s06e03-feature-engineering", "kernel_id": "113995197"}, {"ref": "stephentarter/ps-s06e03-model-visualizer", "kernel_id": "113995562"}, {"ref": "stephentarter/ps-s06e03-xgboost", "kernel_id": "113995798"}, {"ref": "masakane/cat-lgb-xgb-ensemble-0-913", "kernel_id": "113268305"}, {"ref": "narmadhadevid/playground-series-churn-end-to-end-modeling-ml", "kernel_id": "113888393"}, {"ref": "narmadhadevid/customer-churn-prediction-one-hot-encoding-xgb", "kernel_id": "113938143"}, {"ref": "narmadhadevid/customer-churn-prediction-with-xgboost-and-shap", "kernel_id": "113945294"}, {"ref": "rahulrajmahi/predict-customer-churn", "kernel_id": "113114013"}, {"ref": "hudax18/notebook0d66cf1f37", "kernel_id": "113991810"}, {"ref": "girrajjangid/lgbm-xgboost-pipeline-customer-churn", "kernel_id": "113372538"}, {"ref": "girrajjangid/churn-prediction-lgbm-feature-engineering", "kernel_id": "113364143"}, {"ref": "lucalullo/customer-churn", "kernel_id": "113905255"}, {"ref": "mustafaberkayer/deep-eda-why-customers-churn-150-model-ense", "kernel_id": "113152490"}, {"ref": "yuvrajwork/24thmarch-second-draft", "kernel_id": "113416759"}, {"ref": "deonissx/telco-customer-churn-eda-business-analysis", "kernel_id": "113901549"}, {"ref": "barryallen0403/notebook", "kernel_id": "113670598"}, {"ref": "barryallen0403/notebook8-6-barry", "kernel_id": "113470729"}, {"ref": "saktiwirasasmita/ps-s6e3-h-blend-ensemble-fusion", "kernel_id": "113113764"}, {"ref": "saktiwirasasmita/customer-churn-predictiction-218-4142", "kernel_id": "113021781"}, {"ref": "shamaislam/predict-customer-churn", "kernel_id": "113413032"}, {"ref": "kiza123123/kaggle-playground-series-s6e3-competition-retros", "kernel_id": "113642731"}, {"ref": "kiza123123/s6e3-v32-conditional-bartz-target-0-9175", "kernel_id": "113456488"}, {"ref": "kiza123123/s6e3-v30-gbdt-ensemble-target-0-9175", "kernel_id": "113454561"}, {"ref": "kiza123123/s6e3-v29-gbdt-ensemble-target-0-9175", "kernel_id": "113454395"}, {"ref": "kiza123123/s6e3-v31-gbdt-ensemble-target-0-9175", "kernel_id": "113454716"}, {"ref": "kiza123123/s6e3-v28-gbdt-ensemble-target-0-9175", "kernel_id": "113427828"}, {"ref": "kiza123123/91601-s6e3-mr-qwen", "kernel_id": "113175016"}, {"ref": "kiza123123/bartz-sweep-v1-fixed-s6e3", "kernel_id": "113176693"}, {"ref": "kiza123123/bartz-hyperparameter-seed-sweep-v2-fixed-api", "kernel_id": "113198318"}, {"ref": "kiza123123/s6e3-v23-deotte-fixed-leakage", "kernel_id": "113121924"}, {"ref": "flexonafft/myoop-solution-note", "kernel_id": "113425615"}, {"ref": "rajpurohitmohit9/hello-world", "kernel_id": "113451648"}, {"ref": "pinkrahnanaofosuhene/ps-s6e3-lgb-xgb-catboost-ensemble-0-9141-lb", "kernel_id": "113907768"}, {"ref": "gauravduttaiiitb/react-based-text-to-sql-assistant", "kernel_id": "113361894"}, {"ref": "fggfdgre/churn-prediction-competition", "kernel_id": "113510378"}, {"ref": "mrhimanshudeka/train010489d818f2", "kernel_id": "113451631"}, {"ref": "ramazanulus/customer-churn-prediction", "kernel_id": "113996510"}, {"ref": "aryankaisth/adversarial-validation", "kernel_id": "113036730"}, {"ref": "winsentty/playground-series-s6e3", "kernel_id": "113698937"}, {"ref": "fairlanderflick/predicting-customer-churn-blend", "kernel_id": "113861045"}, {"ref": "fairlanderflick/experiments-on-dataset-for-optimization", "kernel_id": "113103380"}, {"ref": "litholemunangiwa/xgboost-churn-prediction", "kernel_id": "113465923"}, {"ref": "camphor5/shauryainnit", "kernel_id": "113493977"}, {"ref": "obeychibidi/kgb2002", "kernel_id": "113458713"}, {"ref": "obeychibidi/milkyway", "kernel_id": "113459981"}, {"ref": "gianalharitz/logisticregression-team-2", "kernel_id": "113396779"}, {"ref": "shimada3/ps-s6e3-customer-churn", "kernel_id": "113327846"}, {"ref": "tech3ai/light-automl-crack-churn", "kernel_id": "113401253"}, {"ref": "tech3ai/3-model-blend", "kernel_id": "113599027"}, {"ref": "tech3ai/catboost-chrun", "kernel_id": "113541458"}, {"ref": "tech3ai/tabm-churn", "kernel_id": "113463679"}, {"ref": "kavyakanneboina/s6e3-blend-5", "kernel_id": "113495868"}, {"ref": "janettdoe/pc-churn-tuned", "kernel_id": "113799029"}, {"ref": "pkalyan0576/predict-customer-churn-eda-ensemble", "kernel_id": "113885682"}, {"ref": "include4eto/nvidia-cuml-logreg-combine-mahog-include", "kernel_id": "114294863"}, {"ref": "include4eto/3rd-place-solution-linearregression-stack", "kernel_id": "114290882"}, {"ref": "include4eto/realmlp-from-scratch-feature-engineering", "kernel_id": "114170449"}, {"ref": "include4eto/ps-s6-e3-realmlp-pytabkit-drop-non-te-cats", "kernel_id": "114091797"}, {"ref": "cdeotte/1st-place-nvidia-cuml-logistic-regression", "kernel_id": "114236004"}, {"ref": "omagebright/s6e3-customer-churn-xgboost-lightgbm-ensemble", "kernel_id": "114074818"}, {"ref": "kirderf/sota-customer-churn-prediction-s6e3", "kernel_id": "114107820"}, {"ref": "syahwizadean/triple-stacking-xgb-cat-lgbm-with-magic-featur", "kernel_id": "114213337"}, {"ref": "syahwizadean/triple-stacking-xgb-cat-lgbm", "kernel_id": "114185132"}, {"ref": "syahwizadean/first-submission-using-basic-random-forest", "kernel_id": "114072863"}, {"ref": "syahwizadean/stacking-xgb-cat-with-logregression-meta-mod", "kernel_id": "114059810"}, {"ref": "syahwizadean/ensemble-model-xgb-catb-target-score-0-92", "kernel_id": "114058060"}, {"ref": "syahwizadean/churn-mastery-0-90-auc-via-feature-intera-xgb", "kernel_id": "114046450"}, {"ref": "ajiboyetoluwalase/cv-informed-ensemble-xgboost-lightgbm-catb", "kernel_id": "114217386"}, {"ref": "caseytrudo/ps-s6-e3", "kernel_id": "114115025"}, {"ref": "jibonk/churn-predictor-lightgbm-extratrees-logistic", "kernel_id": "114154941"}, {"ref": "yunsuxiaozi/realmlp-from-scratchcv-0-91908", "kernel_id": "114156923"}, {"ref": "fiftythirtyfour/predict-customer-churn-0-91", "kernel_id": "114925529"}, {"ref": "nikita7364777/stacked-boosting-ensemble-with-clearml", "kernel_id": "114278530"}, {"ref": "nbanti943gmailcon/churn-prediction", "kernel_id": "114173976"}, {"ref": "karimamahmoud/customer-churn-eda-catboost-0-913-auc", "kernel_id": "114207643"}, {"ref": "lucasmoraes001/customer-churn-ridge-xgboost-lb-0-91610", "kernel_id": "114042020"}, {"ref": "pavijaniaa/eda-and-feature-engineering-tutorial", "kernel_id": "114284846"}, {"ref": "omkarkashid1168/kaggles6e3-ensemble-v3", "kernel_id": "114058767"}, {"ref": "tugcebasyigit/predict-customer-churn-with-ml", "kernel_id": "114222639"}, {"ref": "saurabhrajvarma/xgboost-catboost-and-blending-0-91773", "kernel_id": "114075530"}, {"ref": "maguire41/xgb-cb-lgbm-vce", "kernel_id": "114226280"}, {"ref": "mahoganybuttstrings/combine-oofs", "kernel_id": "114284758"}, {"ref": "camilochart/s6e3-churn-with-xgb-stacked-charts", "kernel_id": "114210810"}, {"ref": "akalyyanahmed/s6e3-gbdt-ensemble", "kernel_id": "114169391"}, {"ref": "akalyyanahmed/s6e3-ver9", "kernel_id": "114249519"}, {"ref": "anilabukhari/pgs-s6e3-advanced-features-xgb-nested-cv", "kernel_id": "114600991"}, {"ref": "hmudassir865/s6e3-eda-ridge-xgb-n-gram-pytorchmlp-auc-0-919004", "kernel_id": "114109543"}, {"ref": "han21400/nvidia-cuml-logistic-regression-with-mega-stacking", "kernel_id": "114764113"}, {"ref": "gabewinterrowd/ps-s6e3-ensemble", "kernel_id": "114209141"}, {"ref": "rawashishsin/s6e4-basic-xgboost-baseline", "kernel_id": "114159820"}, {"ref": "abdullahasoliman/orla-churn-solver-v2-lightgbm", "kernel_id": "114140899"}, {"ref": "jwang2025learning/mlp-tuning", "kernel_id": "114153943"}, {"ref": "jwang2025learning/lr-mlp", "kernel_id": "114059617"}, {"ref": "mariejoesakr/notebookea590e3330", "kernel_id": "114217636"}, {"ref": "nina2025/ps-s6e3-attempt-to-artificially-inc-dec", "kernel_id": "114146118"}, {"ref": "logeshwari12345/predict-customer-churn", "kernel_id": "114164949"}, {"ref": "dominicfansisici/1st-place-nvidia-cuml-logistic-regression", "kernel_id": "114755367"}, {"ref": "dominicfansisici/customer-churn-prediction-best-notebook", "kernel_id": "114757909"}, {"ref": "stephentarter/ps-s06e03-model-stacking", "kernel_id": "114212659"}, {"ref": "stephentarter/ps-s06e03-catboost", "kernel_id": "114209117"}, {"ref": "mmatsui0515/cv-auc-v3-cb-tuned-xgb-lgb-blend", "kernel_id": "114142419"}, {"ref": "mmatsui0515/cv-auc-0-91930-xgb-cb-lgb-blend", "kernel_id": "114108526"}, {"ref": "mohit78241/ps-s6e3-blend-the-blender", "kernel_id": "114218024"}, {"ref": "mohit78241/ps-s6e3-ultra-blend", "kernel_id": "114206403"}, {"ref": "krishnendurintu/customer-churn", "kernel_id": "114095747"}, {"ref": "sasish/customer-churn", "kernel_id": "114153576"}, {"ref": "prafultiwari1/customer-churn", "kernel_id": "114049668"}, {"ref": "sakshisashadass/customer-churn", "kernel_id": "114229665"}, {"ref": "keerthanamathaiyan/customer-churn-prediction-0-91-roc-auc", "kernel_id": "114086117"}, {"ref": "henryaml/1st-place-nvidia-cuml-logistic-regression-861fce", "kernel_id": "114792381"}, {"ref": "hosseinbadrnezhad/predict-customer-churn-competition", "kernel_id": "114174478"}, {"ref": "hosseinbadrnezhad/fork-of-predict-customer-churn-competition", "kernel_id": "114188399"}, {"ref": "anujsaha0123456789/predict-customer-churn-playground-series-s6e3", "kernel_id": "114706559"}, {"ref": "shamaislam/notebook149e48d693", "kernel_id": "114455631"}, {"ref": "kiza123123/gso-trinity-s6e3-v8-with-dataset-sources", "kernel_id": "114800562"}, {"ref": "kiza123123/gso-trinity-s6e3-v7-auto-data-paths", "kernel_id": "114800376"}, {"ref": "kiza123123/gso-trinity-s6e3-v6-superml-fixed", "kernel_id": "114800233"}, {"ref": "kiza123123/gso-trinity-s6e3-v4-all-fixed", "kernel_id": "114798558"}, {"ref": "kiza123123/gso-trinity-s6e3-full-pipeline-v3-fixed", "kernel_id": "114798289"}, {"ref": "kiza123123/gso-trinity-s6e3-full-trinity-pipeline-v2", "kernel_id": "114797771"}, {"ref": "kiza123123/gso-trinity-s6e3-telco-churn-lgb-xgb-cat-blend", "kernel_id": "114797314"}, {"ref": "kiza123123/s6e3-explainability-analysis-lr-decision-tree", "kernel_id": "114349110"}, {"ref": "zynptkn06/predict-customer-churn-xgboost", "kernel_id": "114988292"}, {"ref": "gauravduttaiiitb/building-long-term-memory-with-langmem", "kernel_id": "114591670"}, {"ref": "vompyz/predict-customer-churn-blend-notebook", "kernel_id": "114219904"}, {"ref": "vompyz/predict-customer-churn-final", "kernel_id": "114226321"}, {"ref": "kaglerian/notebookdf9e8f73a0", "kernel_id": "114362505"}, {"ref": "munwonjun/eda-predictcustomerchurn", "kernel_id": "114357087"}, {"ref": "stpeteishii/customer-churn-ridge-regression-ensemble", "kernel_id": "115812861"}, {"ref": "raminhuseyn/predict-customer-churn", "kernel_id": "115550336"}, {"ref": "alexandraayakovleva/telco-customer-churn", "kernel_id": "115164224"}, {"ref": "miadul/predication-customer-churn", "kernel_id": "115873715"}, {"ref": "mjmagno/ps-s6e3-churn-flaml-extension", "kernel_id": "115301432"}, {"ref": "nassersotudeh/churn-v8-roc-auc", "kernel_id": "115905271"}, {"ref": "isbaha/xg-boost-model-for-churn-customer-prediction", "kernel_id": "115330427"}, {"ref": "pinkrahnanaofosuhene/ps6e3-churn-lgb-xgb-catboost-ensemble", "kernel_id": "115978106"}, {"ref": "iemanihsan/predict-customer-churn-crisp-dm", "kernel_id": "116705030"}, {"ref": "abulrob/notebook4066662fe7", "kernel_id": "116918607"}, {"ref": "orionaraf/customer-churn-prediction-playground-series", "kernel_id": "116064378"}, {"ref": "hassangasem/customer-churn-prediction", "kernel_id": "116155631"}, {"ref": "louiswordz/reading-data", "kernel_id": "116235409"}, {"ref": "janhavisonawane17/customer-churn-prediction", "kernel_id": "116863524"}, {"ref": "stephenmarcellino/customer-churn", "kernel_id": "116990868"}, {"ref": "include4eto/tabtransformer-ps6e5", "kernel_id": "117493801"}, {"ref": "praxitelisntokos/customer-churn-ensemble-model", "kernel_id": "117351237"}, {"ref": "pedroadorighello/primeira-competi-o-dswa-2026-1", "kernel_id": "117134207"}, {"ref": "teudepdzai/baseline", "kernel_id": "117932713"}, {"ref": "siddiqueakbar786/end-to-end-customer-churn-prediction-system", "kernel_id": "117474615"}, {"ref": "esraaalsaeede/customer-churn-catboost-baseline-0-91445", "kernel_id": "119038926"}, {"ref": "parthg2007/v1-logistic-regression-ohe", "kernel_id": "119705106"}, {"ref": "parthg2007/v2-catboost-roc-auc-check", "kernel_id": "119721998"}, {"ref": "hamzatekinstaged/voting-classifier", "kernel_id": "120423126"}, {"ref": "hamzatekinstaged/abdullah-guluniversity-churnprediction-comp468", "kernel_id": "120845162"}, {"ref": "werthercbc/abdullahguluni-churn-prediction-comp468", "kernel_id": "120652058"}, {"ref": "emrezorlu1239/churn-guard-high-performance-ensemble", "kernel_id": "120318654"}, {"ref": "bugrabykbs/customer-churn-prediction-agu", "kernel_id": "120654677"}, {"ref": "gabriel17d/churn-blend-model-logr-xg-lgbm-cb-0-91509-auc", "kernel_id": "121243612"}, {"ref": "zeyakimmm/final", "kernel_id": "121684721"}, {"ref": "ahmedabsi00/telecom-churn-agu-comp468-xgboost", "kernel_id": "121031604"}, {"ref": "agdataworks/getting-started-with-playground-s6e3", "kernel_id": "122958159"}, {"ref": "xingye722/notebook32254b3923", "kernel_id": "123849502"}, {"ref": "zheng2301/notebook3d652cc732", "kernel_id": "123608881"}, {"ref": "mhskaya/advanced-customer-churn-prediction", "kernel_id": "123463836"}, {"ref": "kazumaidentity/sample-notebook-ds-june", "kernel_id": "124896521"}, {"ref": "hamzatekinstaged/abdullahguluni-churn-prediction-comp468f9195a36fa", "kernel_id": "124750159"}, {"ref": "zainmahmoud/customer-churn", "kernel_id": "124371408"}, {"ref": "nidhitiwari4/decoding-customer-departure-kaggle", "kernel_id": "124364732"}, {"ref": "vengateshvengat/customer-churn-prediction", "kernel_id": "124080550"}, {"ref": "u06k10ttuni/notebookc8e2fc41d0", "kernel_id": "124887785"}, {"ref": "eurekalyj/notebookbcb3b0cb5b", "kernel_id": "125175982"}, {"ref": "xinxinlei/notebook624064b6df", "kernel_id": "125166376"}, {"ref": "wangfangmin/notebookac92100114", "kernel_id": "125553812"}, {"ref": "benarique/churncompetition", "kernel_id": "125944741"}, {"ref": "tetsuloge/notebook4ec23284c1", "kernel_id": "125149434"}, {"ref": "sakimorimoto/notebook4ec23284c1-0506c0", "kernel_id": "125774405"}, {"ref": "c612636027/notebook4ec23284c1", "kernel_id": "125774200"}, {"ref": "nojimaeito/notebook4ec23284c1", "kernel_id": "125773901"}, {"ref": "santoshyadavaiexpert/s6e3-customer-churn-prediction", "kernel_id": "126334885"}, {"ref": "akshitraj123/customer-churn", "kernel_id": "128610326"}, {"ref": "jarbouiaminnna/notebook601e8c5d84", "kernel_id": "129211162"}, {"ref": "zqx960151285/predict-customer-churn", "kernel_id": "129237337"}, {"ref": "muskanshahh/churn-prediction", "kernel_id": "130093936"}, {"ref": "adityasiraskar2004/classification-pipeline", "kernel_id": "134302197"}, {"ref": "otonielditren/notebook44b0a1c96a", "kernel_id": "134274959"}]}
{"competition_id": "125228", "kernels": [{"ref": "dascient/spaceship-titanic-max-outreach", "kernel_id": "105195861"}]}
{"competition_id": "125231", "kernels": [{"ref": "behiyenilayogultekin/knnmodelwithcheatingresults", "kernel_id": "104611531"}, {"ref": "ajabkhan21/mercor-fraud-detection-using-lightgbm", "kernel_id": "104303172"}, {"ref": "ajabkhan21/notebookadb32482a8", "kernel_id": "104305175"}]}
{"competition_id": "125235", "kernels": [{"ref": "iqewj77/notebookea3ea40ea8", "kernel_id": "104964819"}]}
{"competition_id": "125248", "kernels": []}
{"competition_id": "125273", "kernels": [{"ref": "leowang724/baseline-1", "kernel_id": "103445763"}]}
{"competition_id": "125279", "kernels": [{"ref": "leowang724/baseline-2", "kernel_id": "103445646"}]}
{"competition_id": "125280", "kernels": [{"ref": "qacenn/baseline-iaio-cv", "kernel_id": "103596412"}, {"ref": "tommydan/uzb-iaio-2026-sfr-iaio-cv-without-google-tag", "kernel_id": "126352166"}]}
{"competition_id": "125281", "kernels": [{"ref": "leowang724/baseline-5", "kernel_id": "103443058"}, {"ref": "osmanozcanli/2025-ml-final-topic-5-image-classification", "kernel_id": "110728364"}]}
{"competition_id": "125296", "kernels": []}
{"competition_id": "125301", "kernels": [{"ref": "sefixnep/pretrain-pipeline-62", "kernel_id": "103626992"}, {"ref": "sefixnep/0-62-notebook", "kernel_id": "103620237"}, {"ref": "akiraxrd/bert-is-all-you-need-4th-place", "kernel_id": "103620133"}, {"ref": "katachy74/baseline-notebook", "kernel_id": "103405820"}]}
{"competition_id": "125308", "kernels": []}
{"competition_id": "125344", "kernels": [{"ref": "timriggins/baeline", "kernel_id": "103541576"}]}
{"competition_id": "125345", "kernels": [{"ref": "leowang724/baseline-4", "kernel_id": "103445083"}]}
{"competition_id": "125346", "kernels": [{"ref": "leowang724/baseline-3", "kernel_id": "103445491"}]}
{"competition_id": "125347", "kernels": []}
{"competition_id": "125361", "kernels": [{"ref": "cyprusaitraining/baseline", "kernel_id": "103481194"}, {"ref": "hmnshudhmn24/cyprus-ai-camp-2026-tasks", "kernel_id": "108451773"}]}
{"competition_id": "125364", "kernels": []}
{"competition_id": "125432", "kernels": []}
{"competition_id": "125482", "kernels": []}
{"competition_id": "125485", "kernels": [{"ref": "kobenunu12/smoking-tpot", "kernel_id": "104644273"}, {"ref": "kobenunu12/smoking-autosklearn", "kernel_id": "104639295"}, {"ref": "eric15342335/autogluon-quitting-smoking", "kernel_id": "106167491"}, {"ref": "garvitofficial/smoking-status-prediction", "kernel_id": "107212161"}]}
{"competition_id": "125492", "kernels": [{"ref": "tankharsh07/nst-placement-prediction", "kernel_id": "126258357"}]}
{"competition_id": "125497", "kernels": [{"ref": "prannerta100/baseline-model-training", "kernel_id": "103606119"}, {"ref": "daosyduyminh/arabic-medical-text-classification-eda", "kernel_id": "105102545"}, {"ref": "ahmedbaalash/notebook482c2f9d8c", "kernel_id": "105439793"}]}
{"competition_id": "125504", "kernels": [{"ref": "aaaml007/mercor-fraud-detection-notebook1ea90c12ca", "kernel_id": "103600526"}, {"ref": "gauravparkhedkar/mercoraisol", "kernel_id": "103734893"}, {"ref": "adityakumarsingh135/mercor-cheating-detection", "kernel_id": "103624610"}, {"ref": "nocarbonintelligence/mercor-eda", "kernel_id": "103624594"}, {"ref": "nocarbonintelligence/mercor-lgbm", "kernel_id": "103630540"}, {"ref": "behiyenilayogultekin/knnformercorcheatingdetection", "kernel_id": "104616131"}, {"ref": "atharva0577/sspt-dae-mercor-cheating-graph", "kernel_id": "104963229"}, {"ref": "kzmontage/mercor-cheating-detection-auc-0-96", "kernel_id": "104276646"}, {"ref": "shivanisharma1297/cheating-detection-lightgbm", "kernel_id": "104902084"}, {"ref": "krkaushikkumar1/mercor-cheating-detection", "kernel_id": "104108419"}, {"ref": "marknghk/mercer-xgb", "kernel_id": "104901908"}, {"ref": "marknghk/mercer-xgb-cat", "kernel_id": "104912500"}, {"ref": "mufasasimon/mercor-smart-cost-optimization-graph-xgboost", "kernel_id": "104328243"}, {"ref": "bolongv/mcd-catboost-xgboost-lgb", "kernel_id": "104495029"}, {"ref": "bariarituratibhai/behavioral-detect-xgboost-catboost", "kernel_id": "104665381"}, {"ref": "praneshwar/eda-mercor-cheating-detection", "kernel_id": "104849939"}, {"ref": "roshan123kumar/mecror-cheating-detection", "kernel_id": "104421714"}, {"ref": "roshan123kumar/mecror-cheating-detection2-0", "kernel_id": "104890150"}, {"ref": "ngarai/mercor-cheating-detection", "kernel_id": "104543356"}, {"ref": "dheerajkannaujiya/mercor-cheating", "kernel_id": "104937867"}, {"ref": "mjliut/mercor-cheating-detection-lgb-xgb-cat", "kernel_id": "104749379"}, {"ref": "adityakumarsingh135/mercor-cheating-prediction-blending", "kernel_id": "104417584"}, {"ref": "isaacmugiraneza/zeta-notebook", "kernel_id": "104541431"}, {"ref": "jeminm/socialgraph-blacksheep-stacking-1605225-00", "kernel_id": "104347470"}, {"ref": "ibukitanizawa/ibumodel-v1-mercor-cheating-detection", "kernel_id": "104281165"}, {"ref": "johnbyun98/bce-loss-soft-expected-cost-loss-1543555", "kernel_id": "105749979"}, {"ref": "tobimichigan/production-ready-machine-learning-pipeline", "kernel_id": "105589449"}, {"ref": "muhe123/networkx-nbr-stats-stacking", "kernel_id": "105092231"}, {"ref": "gpch2159/mercor-post-proc-by-lp", "kernel_id": "105647496"}, {"ref": "act18l/label-propagation", "kernel_id": "105384823"}, {"ref": "priyamsaha17/cost-aware-graph-learning-for-cheating-detection", "kernel_id": "105875217"}, {"ref": "yash9439/mercor-cheating-detection-ensemble-1570000", "kernel_id": "105212571"}, {"ref": "kzmontage/mercor-cheating-detection-lgb-xgb", "kernel_id": "105539451"}, {"ref": "waqasali51/graph-ml-stack-with-degree-corrected-lp-1545085", "kernel_id": "105911745"}, {"ref": "marknghk/mercor-model-stack", "kernel_id": "105785065"}, {"ref": "jonathanncoletti/model-ensemble-pseudo-labeling-1567245", "kernel_id": "105457122"}, {"ref": "mufasasimon/enhanced-label-propagation", "kernel_id": "105695592"}, {"ref": "avinashkushawaha/notebook25d7f2895c", "kernel_id": "105918294"}, {"ref": "avinashkushawaha/cheating-detection", "kernel_id": "105919543"}, {"ref": "bariarituratibhai/enhanced-propagation", "kernel_id": "105885565"}, {"ref": "samasiayushman/mercori-eda", "kernel_id": "105441760"}, {"ref": "lawalgiyath12/final0", "kernel_id": "105704274"}, {"ref": "meetbabariya/this-is-the-only-eda-you-need", "kernel_id": "105126372"}, {"ref": "hmnshudhmn24/mercor-cheating-detection", "kernel_id": "105362759"}, {"ref": "ibukitanizawa/ibumodel-v2-mercor-cheating-detection-1586135-000", "kernel_id": "105021939"}, {"ref": "greysky/mercor-cheating-detection-1st-place", "kernel_id": "106622635"}, {"ref": "disharaghuwanshi13/ensemble-learning", "kernel_id": "106016026"}]}
{"competition_id": "125514", "kernels": []}
{"competition_id": "125553", "kernels": [{"ref": "cyprusaitraining/baseline-for-classification-in-space", "kernel_id": "103726950"}, {"ref": "hmnshudhmn24/cyprus-ai-camp-binary-classification-in-space", "kernel_id": "108529497"}, {"ref": "lightningv08/cyprus-ai-camp-catboost-binary-classification", "kernel_id": "109261682"}]}
{"competition_id": "125558", "kernels": [{"ref": "cyprusaitraining/baseline-broken-bert", "kernel_id": "103753797"}, {"ref": "hmnshudhmn24/cyprus-ai-camp-broken-bert", "kernel_id": "108881396"}]}
{"competition_id": "125623", "kernels": []}
{"competition_id": "125628", "kernels": []}
{"competition_id": "125640", "kernels": []}
{"competition_id": "125648", "kernels": []}
{"competition_id": "125650", "kernels": [{"ref": "cyprusaitraining/baseline-cuties-segmentation", "kernel_id": "103836790"}, {"ref": "hmnshudhmn24/cyprus-ai-camp-cuties-segmentation", "kernel_id": "108899399"}]}
{"competition_id": "125652", "kernels": []}
{"competition_id": "125653", "kernels": []}
{"competition_id": "125656", "kernels": []}
{"competition_id": "125681", "kernels": [{"ref": "lamdang/is-censoring-random-or-deterministic", "kernel_id": "108465294"}, {"ref": "lamdang/wids-datathon-full-eda-univariate-analysis", "kernel_id": "108421496"}, {"ref": "lamdang/lightgbm-poisson-for-survival-analysis", "kernel_id": "108542934"}, {"ref": "sword4949/wids-global-datathon-2026", "kernel_id": "108392980"}, {"ref": "sword4949/wids-global-datathon-2026-ver-2", "kernel_id": "108393847"}, {"ref": "maryn0819/wildfire-optimized-model", "kernel_id": "108307293"}, {"ref": "mpwolke/wids-2026-ready-for-wildfire", "kernel_id": "108094114"}, {"ref": "yihanguo/wild-fire-baseline-logisticregression", "kernel_id": "108166874"}, {"ref": "ramjasmaurya/survival-analysis-gbsa", "kernel_id": "108643992"}, {"ref": "gpch2159/eda-wids-2026", "kernel_id": "108113814"}, {"ref": "vaishnavidesai345/0-96-baseline-survival-modeling-with-lightgbm", "kernel_id": "108666495"}, {"ref": "jjleesunny/wids-eda-ensemble-baseline-get-started", "kernel_id": "108100218"}, {"ref": "adamdandi/wids-global-datathon-2026", "kernel_id": "108664965"}, {"ref": "lakhindarpal/wids-global-datathon-2026-survival-analysis", "kernel_id": "108211203"}, {"ref": "purnamaridzkynugraha/wids-2026-early-signal-survival-analysis-eda", "kernel_id": "108155383"}, {"ref": "purnamaridzkynugraha/baseline-notebook-random-forest-optuna", "kernel_id": "108145084"}, {"ref": "iamnotindangerskyler/4-feature-strong-baseline-physics-informed", "kernel_id": "108090412"}, {"ref": "ashsihkumar/apex-wildfire-threat-tracker-survival-analysis", "kernel_id": "108372688"}, {"ref": "alanamonks/baseline-multihead-lgb-for-wids-competition", "kernel_id": "108105602"}, {"ref": "luckykato/notebook9aa04c39ca", "kernel_id": "108379331"}, {"ref": "vivekumar001/wids-2026-global-datathon-0-9504", "kernel_id": "108331547"}, {"ref": "atifkhan12/wids-2026-classification", "kernel_id": "108592168"}, {"ref": "nina2025/wids-global-datathon-2026-ensemble-of-solutions", "kernel_id": "108182330"}, {"ref": "hmnshudhmn24/wids-global-datathon-2026", "kernel_id": "108153803"}, {"ref": "igorpawicki/wids-f-a-nina-s-code-simplified-version-tfl", "kernel_id": "108549540"}, {"ref": "aparnaroyt/wildfire-threat-prediction-via-survival-analysis", "kernel_id": "108914604"}, {"ref": "zoupet/blending-survival-models-stacking", "kernel_id": "109965774"}, {"ref": "lhagiimn/wids2026-edanalysis", "kernel_id": "109290949"}, {"ref": "thiagomantuani/wids-2026-get-started-xgboost", "kernel_id": "109823601"}, {"ref": "geraldamasi/wids-global-datathon-2026", "kernel_id": "109804705"}, {"ref": "suman2208/ple-stacker", "kernel_id": "109078004"}, {"ref": "rupankarmajumdar/wids-global-datathon-2026-physics-based-feature", "kernel_id": "109542381"}, {"ref": "rupankarmajumdar/wids-global-datathon-26", "kernel_id": "109519917"}, {"ref": "suhanigupta04/wids-global-datathon-2026-multi-class-lightgbm", "kernel_id": "109322745"}, {"ref": "ishitabahamnia/wids-global-datathon-2026-notebook", "kernel_id": "109438052"}, {"ref": "rhythmghai/wids-global-datathon-2025-wildfire-survival-mode", "kernel_id": "109126179"}, {"ref": "sigmaborov/wids-simple-lgb-baseline-0-96", "kernel_id": "109846144"}, {"ref": "sigmaborov/wids-2026-firefuse-hazard-model", "kernel_id": "109971514"}, {"ref": "sigmaborov/wids-2026-deep-visual-eda-risk-insights", "kernel_id": "109972955"}, {"ref": "payaldhokane/wids-global-datathon-2026-baseline", "kernel_id": "109250738"}, {"ref": "melissacicek/wids-2026-eda-classification", "kernel_id": "109530211"}, {"ref": "aparnaroyt/wildfire-survival-analysis-optuna-tuned-ensemble", "kernel_id": "109386907"}, {"ref": "chandini/wids-feature-engineering", "kernel_id": "110024007"}, {"ref": "sakuno/wids-2026-wildfire-survival-mode-eda", "kernel_id": "110033452"}, {"ref": "watsonstudio/eda-features-evaluation-metrics-explained", "kernel_id": "110119581"}, {"ref": "anugarania/wids-2026-eda-workshop-atx-ny", "kernel_id": "110136195"}, {"ref": "loopassembly/0-97092-450-model-fold-fused-survival-engine", "kernel_id": "110231223"}, {"ref": "belbino/wids-2026-get-started-xgb-pipeline-0-95791", "kernel_id": "110051885"}, {"ref": "aaryaamoharir/wids-datathon-2026", "kernel_id": "110213487"}, {"ref": "mckennamettling/introduction-to-data-manipulation", "kernel_id": "110340867"}, {"ref": "wardiyah/wids-eda-boostensemble-random-survival-forest", "kernel_id": "110196730"}, {"ref": "lamiahkhan/wids-notebook-btt-basin", "kernel_id": "110787170"}, {"ref": "bhavikenia/notebook134cf0d307", "kernel_id": "110940312"}, {"ref": "sigmaborov/wids-2026-external-dataset-baseline-0-95", "kernel_id": "110642556"}, {"ref": "heleeon/helen-wids-global-datathon-2026", "kernel_id": "110395978"}, {"ref": "nina2025/wids-2026-ensemble-of-solutions-2", "kernel_id": "110982218"}, {"ref": "charhby/btt-blackline-wildfire-prediction-algorithm", "kernel_id": "110530465"}, {"ref": "prabhpreetsingh5/weighted-ridge-regression-stacker-top60", "kernel_id": "110306108"}, {"ref": "paromitatalukder/btt-rebound-wids-global-datathon-2026", "kernel_id": "110544165"}, {"ref": "safikaalam/notebooka0f5f8176a", "kernel_id": "110935925"}, {"ref": "gurleen10k/btt-water-systems", "kernel_id": "110936567"}, {"ref": "rishabh15virgo/wids-wildfire-survival-eda-calibrated-baseline", "kernel_id": "111308270"}, {"ref": "programurlife/wids-workshop-2-austin-baseline-model", "kernel_id": "111904520"}, {"ref": "johnsonhk88/wids-global-datathon-2026-ml", "kernel_id": "111298398"}, {"ref": "yihanguo/lgbm-xgb-kfold-seed-ensemble-wids-2026", "kernel_id": "111597391"}, {"ref": "rebelgrath/data-understanding-part01", "kernel_id": "111354611"}, {"ref": "andreakvasnak/week-1-initial-exploration", "kernel_id": "111443093"}, {"ref": "guysoupgoui/charly-notebook", "kernel_id": "111734892"}, {"ref": "vaishnavidesai345/survival-modeling-pipeline-0-94-score", "kernel_id": "111234718"}, {"ref": "dasdasdada/0-97124-gbsa-rsf-lgb-survival-engine", "kernel_id": "111327989"}, {"ref": "lightningv08/0-97100-850-model-fold-fused-survival-engine", "kernel_id": "111043402"}, {"ref": "ramazanturann/wids-2026-wildfire-survival-ensemble", "kernel_id": "111597074"}, {"ref": "ramazanturann/wids-2026-fold-fused-lgbm-survival", "kernel_id": "111757354"}, {"ref": "joycemukolwe/wids-first-notebook", "kernel_id": "111511077"}, {"ref": "pinuto/wids-2026-cv-bagged-survival-hybrid-0-96841-lb", "kernel_id": "111003519"}, {"ref": "bhavikenia/btt-firewall", "kernel_id": "111024716"}, {"ref": "ngtrongnghia/wids-2026-eda", "kernel_id": "111364197"}, {"ref": "furqonaryadana/0-9707-cv-bagged-lgbm-survival-eda", "kernel_id": "111195759"}, {"ref": "furqonaryadana/0-9716-tri-survival-stack-distancestratifiedblend", "kernel_id": "111846571"}, {"ref": "daimka/wids-2026-data-audit-and-target-semantics-eda", "kernel_id": "111833835"}, {"ref": "nhannhan22/wids-2026-multi-seed-survival-boosting-0-969", "kernel_id": "111748551"}, {"ref": "nhannhan22/wids-wildfire-survival-eda-calibrated-baseline", "kernel_id": "111363002"}, {"ref": "djenkivanov/minimalistic-lgbm-xgb-kfold-stack-wids-2026", "kernel_id": "111514188"}, {"ref": "khoanguyenkhmt/data-profiling-wids", "kernel_id": "111535510"}, {"ref": "realtalhacelik/survival-guide-0-91-to-0-965", "kernel_id": "111263218"}, {"ref": "rauffauzanrambe/building-smarter-wildfire-models-summary", "kernel_id": "111218093"}, {"ref": "rishabh15virgo/wids-wildfire-gradient-boosted-survival-trees", "kernel_id": "112397416"}, {"ref": "rishabh15virgo/wids-wildfire-coxph-baseline", "kernel_id": "112144551"}, {"ref": "rishabh15virgo/wids-wildfire-random-survival-forest-baseline", "kernel_id": "112396470"}, {"ref": "rishabh15virgo/wids-wildfire-regularized-cox-coxnet-baseline", "kernel_id": "112394924"}, {"ref": "sarthakniwate13/0-97-microeda-gbsa-lgbm-rankblend-plattcalib", "kernel_id": "112358894"}, {"ref": "sarthakniwate13/xgbclassifier-results", "kernel_id": "112017468"}, {"ref": "lanamaslenkova/wids-2026-baseline-cox-ph-randomsurvivalforest", "kernel_id": "112731747"}, {"ref": "itsyoursumit/wids-2026-submi", "kernel_id": "112855434"}, {"ref": "andreakvasnak/week-2-outlier-exploration", "kernel_id": "112181514"}, {"ref": "lilydao/wids-2026-data-audit-and-target-semantics", "kernel_id": "112257975"}, {"ref": "guanyinggoh/btt-wids-guan", "kernel_id": "112653091"}, {"ref": "daimka/wids-2026-0-95463-public-censor-aware-physics", "kernel_id": "112078074"}, {"ref": "nina2025/wids-2026-ensemble-of-solutions-h-blend", "kernel_id": "112439479"}, {"ref": "phonemoe/wildfire-pred-gbsa-wids-global-datathon-2026", "kernel_id": "112592490"}, {"ref": "wasiqaliyasir/wids-global-submission-analysis", "kernel_id": "112583132"}, {"ref": "wasiqaliyasir/gradient-boosting-survival-using-wids", "kernel_id": "112471330"}, {"ref": "kayleegell/wids-workshop-march19", "kernel_id": "112640457"}, {"ref": "yermes/wids-2026-yermes-deephit-v1", "kernel_id": "113883867"}, {"ref": "tejjaswi/igniters-1", "kernel_id": "113700021"}, {"ref": "andreakvasnak/week-3-visual-exploration", "kernel_id": "113071495"}, {"ref": "johnnyhyland/bayesian-survival-public-best", "kernel_id": "113980895"}, {"ref": "melvinamedetadji/wids2026-10-rsf-ipcw-rank-blend", "kernel_id": "113631446"}, {"ref": "melvinamedetadji/wids-2026-competition-knowledge-base", "kernel_id": "113680349"}, {"ref": "melvinamedetadji/wids2026-13-near-zone-coxph", "kernel_id": "113872914"}, {"ref": "melvinamedetadji/wids2026-01-exploratory-data-analysis", "kernel_id": "113142849"}, {"ref": "melvinamedetadji/wids2026-02-baseline-model", "kernel_id": "113147555"}, {"ref": "melvinamedetadji/wids2026-03-calibration-feature-selection", "kernel_id": "113160957"}, {"ref": "melvinamedetadji/wids2026-06-tri-survival-stack", "kernel_id": "113421792"}, {"ref": "melvinamedetadji/wids2026-04-survival-engine-distance-gate", "kernel_id": "113317849"}, {"ref": "tistamanandhar/feature-selection-model-new-one", "kernel_id": "113538840"}, {"ref": "avikdas567/multi-horizon-survival-model-lightgbm-wids-2026", "kernel_id": "113708794"}, {"ref": "ngtrongnghia/gradientboostingsurv-096", "kernel_id": "113199272"}, {"ref": "wasiqaliyasir/wids-pipeline-prediction-using-the-submission", "kernel_id": "113988426"}, {"ref": "aanngh/peanut-s-wids-2026", "kernel_id": "113465982"}, {"ref": "doriehalomari/wids2026-solution", "kernel_id": "114918733"}, {"ref": "andreakvasnak/week-5-feature-engineering", "kernel_id": "114793330"}, {"ref": "rushikeshshirwalkar/wildfire-prediction", "kernel_id": "114752308"}, {"ref": "ramasy/wids-xgb", "kernel_id": "114701909"}, {"ref": "kaurgurpreet123/wids2026-eda", "kernel_id": "114297710"}, {"ref": "kaurgurpreet123/wids-baselinenb-using-lightgbm", "kernel_id": "114575945"}, {"ref": "vladimirnasalciuc/wids-2026-the-5km-rule", "kernel_id": "114177790"}, {"ref": "yukrxfo/0-9716-tri-survival-stack-distancestratifiedblend", "kernel_id": "114696392"}, {"ref": "pranavnaik8/neural-network", "kernel_id": "114355598"}, {"ref": "nina2025/wids-2026-ensemble-of-solutions", "kernel_id": "114437991"}, {"ref": "saamiyah26/main-1-only-data-explore", "kernel_id": "114705428"}, {"ref": "yarukikun/wids-global-2026", "kernel_id": "114721123"}, {"ref": "kazuhiroyogo/wids-sample-kazuhiro3", "kernel_id": "114460217"}, {"ref": "kazuhiroyogo/wids-sample-kazuhiro2", "kernel_id": "114456284"}, {"ref": "bhavanatech/notebook-final-model", "kernel_id": "114603498"}, {"ref": "kajalmehtabofa/notebooka1f2e92721", "kernel_id": "114419028"}, {"ref": "aishwaryadhagade/eda-trial1", "kernel_id": "114875992"}, {"ref": "joebenet/no-data-science-involved", "kernel_id": "115887178"}, {"ref": "adityasiraskar/wids-2026-survival-kinematic-engine-gbsa-aft", "kernel_id": "115003490"}, {"ref": "adityasiraskar/wids-2026-seed-averaged-kaplan-meier-blend", "kernel_id": "115005271"}, {"ref": "andreakvasnak/week-6-first-submission", "kernel_id": "115384181"}, {"ref": "priya1207/wids-baseline", "kernel_id": "115364452"}, {"ref": "kaurgurpreet123/lightgbm-with-feature-engg", "kernel_id": "115527960"}, {"ref": "kaurgurpreet123/improvise", "kernel_id": "115754871"}, {"ref": "kazuhiroyogo/wids-sample-kazuhiro5", "kernel_id": "115800279"}, {"ref": "muhammadhuzaifagohar/survival-forecasting-lightgbm-wildfire-horizon", "kernel_id": "115616502"}, {"ref": "ionfreeman/randomforestclassifierfindparameter", "kernel_id": "116787262"}, {"ref": "shrinithiraghavan/wids-2026-bofa-predicther-randomsurvivalforest", "kernel_id": "116252000"}, {"ref": "muhammaddanyalmalik/optimized-ensemble", "kernel_id": "116766753"}, {"ref": "saurabhrajvarma/wids-global-datathon-2026", "kernel_id": "116838271"}, {"ref": "saurabhrajvarma/wildfire-impact-survival-modeling-pipeline", "kernel_id": "116839161"}, {"ref": "noob786/widsworldwide-globaldat-baseline-solution", "kernel_id": "116208084"}, {"ref": "mohamedklila8klila/h-blend-submission-ensemble-of-solutions", "kernel_id": "116797937"}, {"ref": "mohamedklila8klila/h-blend", "kernel_id": "116799363"}, {"ref": "payaldhokane/wids-lightgbm-catboost", "kernel_id": "116628811"}, {"ref": "payaldhokane/wids-kfold", "kernel_id": "116629505"}, {"ref": "payaldhokane/wids-global-datathon", "kernel_id": "116626131"}, {"ref": "payaldhokane/wids-sck", "kernel_id": "116631781"}, {"ref": "payaldhokane/wids-stacking", "kernel_id": "116919605"}, {"ref": "payaldhokane/wids-0-972", "kernel_id": "116915148"}, {"ref": "chaitanyajamble/wids-global-datathon", "kernel_id": "116318858"}, {"ref": "chaitanyajamble/wild-fire-impact-predictions", "kernel_id": "116302417"}, {"ref": "chaitanyajamble/wids-global-datathon-3", "kernel_id": "116369289"}, {"ref": "akmalbadgandi/wids-2026-ensemble-of-solutions-3-71cf3f", "kernel_id": "116083568"}, {"ref": "jingleiii/wids-final-prediction", "kernel_id": "116346358"}, {"ref": "trnngcccuyn/wids2026-wildfire-survival", "kernel_id": "116066515"}, {"ref": "dskswu/wids-psuedo", "kernel_id": "117376537"}, {"ref": "loopassembly/0-97254-public-lb-wids-2026-wildfire-survival", "kernel_id": "117239958"}, {"ref": "safar1/lb-top", "kernel_id": "117013649"}, {"ref": "ianktoo/wids-2026-v1-lgb-4-horizon-baseline", "kernel_id": "117224074"}, {"ref": "ianktoo/wids-2026-v2-coxph-survival-model", "kernel_id": "117224081"}, {"ref": "ianktoo/wids-2026-v3-lgb-regularized-feature-analysis", "kernel_id": "117224083"}, {"ref": "ianktoo/wids-2026-v4-lgb-xgb-ensemble-feature-engineering", "kernel_id": "117225687"}, {"ref": "mohamedklila8klila/lb-0-97356-ensemble", "kernel_id": "117284937"}, {"ref": "mohamedklila8klila/lb-0-97407-highest-score", "kernel_id": "117386785"}, {"ref": "payaldhokane/finalpushwids-datathon", "kernel_id": "117493063"}, {"ref": "ayushi6/wids-submission4", "kernel_id": "117028972"}, {"ref": "kazuhiroyogo/titanic-sample-kazuhiro12", "kernel_id": "117113342"}, {"ref": "kazuhiroyogo/wids-kazuhiro3-ensemble1", "kernel_id": "117233672"}, {"ref": "kazuhiroyogo/wids-kazuhiro4-power-ensembling1", "kernel_id": "117235447"}, {"ref": "tarunraii/wids-solution-4", "kernel_id": "117453606"}, {"ref": "tarunraii/wids-solution-3", "kernel_id": "117452361"}, {"ref": "tarunraii/wids-solution", "kernel_id": "117220161"}, {"ref": "tarunraii/fork-of-wids-solution-2", "kernel_id": "117310913"}, {"ref": "tarunraii/wids-nb1", "kernel_id": "117171174"}, {"ref": "congcongbi/wids-global-datathon-2026", "kernel_id": "117481885"}, {"ref": "mohamedeladeb/h-blend-solution", "kernel_id": "117080468"}, {"ref": "manoula04/second-draft", "kernel_id": "117170538"}, {"ref": "simonagradinaru/wids-26-avoid-boosting-the-flames-top-2-0-96647", "kernel_id": "118401756"}, {"ref": "adegladius/wids-2026-10th-place-0-96893-on-private-lb", "kernel_id": "118540592"}, {"ref": "trungnguynhunhanh/score-0-96584", "kernel_id": "118890700"}, {"ref": "mshaheeruddin28312/wids-datathon-final", "kernel_id": "118500524"}, {"ref": "akashiyer1/wildf", "kernel_id": "118537335"}, {"ref": "saamiyah26/final-submission", "kernel_id": "119586787"}, {"ref": "i2nfinit3y/wids-gbsa-training", "kernel_id": "120972008"}, {"ref": "i2nfinit3y/wids-tabm-training", "kernel_id": "120971805"}, {"ref": "trmnguynthi/wids-group13", "kernel_id": "120751353"}, {"ref": "iloledrogoff/wids-global-datathon-2026-solution-kagglettes", "kernel_id": "121666856"}, {"ref": "mariagantoi/wids-datathon-2026-4th-place-solution", "kernel_id": "121658037"}, {"ref": "rolaislait/my-wids-2026-solution", "kernel_id": "121912952"}, {"ref": "marcellocarmello/wids-datathon-2026-winning-solution-btt-mapping", "kernel_id": "121129153"}, {"ref": "mihneaalexandrupavel/wids-datathon-2026-4th-place-solution", "kernel_id": "121657516"}, {"ref": "thienleuit/final", "kernel_id": "121290102"}, {"ref": "abhinandanbelagavi/notebook-final-model", "kernel_id": "121513019"}, {"ref": "mhskaya/wildfire-threat-analysis-for-evacuation-zones", "kernel_id": "123154564"}]}
{"competition_id": "125731", "kernels": []}
{"competition_id": "125745", "kernels": [{"ref": "amit8218/solidworks", "kernel_id": "104973689"}, {"ref": "pirithan/oneallabove", "kernel_id": "104777847"}, {"ref": "craftycode/solidworks", "kernel_id": "104655737"}, {"ref": "lostdecimal27/solidworks", "kernel_id": "104531706"}, {"ref": "bhanageviraj/solidworks-detection", "kernel_id": "104521308"}, {"ref": "nishak4r/solidworks-ai-hackathon-task-notebook", "kernel_id": "104540356"}, {"ref": "shinjansaha123/solidworks-ai-hackathon-lb-0-87", "kernel_id": "104864702"}, {"ref": "emmastonekumar/solidworks", "kernel_id": "104776992"}, {"ref": "emmastonekumar/notebookb38e5f4f0c", "kernel_id": "104840429"}, {"ref": "emmastonekumar/solid-works-hackthon", "kernel_id": "104836058"}, {"ref": "kaviya0120/finalmodel", "kernel_id": "104953931"}, {"ref": "ashuyadav001/solidworks-ai-hackathon", "kernel_id": "105048891"}, {"ref": "pradikaik/notebook2bc23c95c3", "kernel_id": "105028107"}]}
{"competition_id": "125762", "kernels": []}
{"competition_id": "125766", "kernels": [{"ref": "iakovoskour/notebook1905fd781f", "kernel_id": "104518692"}, {"ref": "sigmaborov/bigdata2025-classification-0-975-simple-baseline", "kernel_id": "109853678"}, {"ref": "hmnshudhmn24/bigdata2025-exercise1-classification", "kernel_id": "109768684"}]}
{"competition_id": "125767", "kernels": []}
{"competition_id": "125769", "kernels": [{"ref": "carsoncheng/query-intent-detection-baseline", "kernel_id": "104001189"}]}
{"competition_id": "125798", "kernels": [{"ref": "mehmetsel/digit-classification-simple-logisticregression", "kernel_id": "110184052"}]}
{"competition_id": "125799", "kernels": [{"ref": "hmnshudhmn24/fathomnetclef2026-lifeclef-cvpr-fgvc", "kernel_id": "108882736"}, {"ref": "ambrosm/fathomnetclef2026-explained-yolo-baseline", "kernel_id": "109138532"}, {"ref": "ambrosm/fathomnetclef2026-reduced-to-640-640", "kernel_id": "109131662"}, {"ref": "jagrutiyuvrajdhangar/fathomnet", "kernel_id": "109469310"}, {"ref": "cosheimil/11-cv-detection", "kernel_id": "109513665"}, {"ref": "ambrosm/fathomnetclef2026-explained-fasterrcnn", "kernel_id": "110121657"}, {"ref": "ishitabahamnia/fathomnetclef2026-lifeclef-cvpr-fgvc", "kernel_id": "111540833"}, {"ref": "mpwolke/fathomnetclef2026", "kernel_id": "112719891"}, {"ref": "stpeteishii/fathomnetclef2026-dl-train3-3-images", "kernel_id": "115354050"}, {"ref": "stpeteishii/fathomnetclef2026-dl-train1-3-images", "kernel_id": "115353683"}, {"ref": "stpeteishii/fathomnetclef2026-dl-train2-3-images", "kernel_id": "115353928"}, {"ref": "stpeteishii/fathomnetclef2026-dl-test-images", "kernel_id": "115354182"}, {"ref": "stpeteishii/fathomnetclef2026-display-images-w-annotations", "kernel_id": "115094558"}, {"ref": "leomee/fathomnetclef2026-rt-detr-2", "kernel_id": "115189606"}, {"ref": "sohaibdevv/fathomnet-2026-baseline", "kernel_id": "115401451"}, {"ref": "stpeteishii/fathomnetclef-yolo26-train-and-predict", "kernel_id": "116482873"}, {"ref": "algebraictopology/notebook94aee56778", "kernel_id": "117646311"}, {"ref": "noureldinabdelrahman/dmet901-team-09", "kernel_id": "135530326"}]}
{"competition_id": "125862", "kernels": [{"ref": "drishtii1/21f1004302", "kernel_id": "104416936"}, {"ref": "wreckermoon/notebooke84acafdd2", "kernel_id": "104391037"}, {"ref": "kushaliitm/21f1002108-2-dlp-nppe-3", "kernel_id": "104419170"}]}
{"competition_id": "125868", "kernels": []}
{"competition_id": "125886", "kernels": []}
{"competition_id": "125978", "kernels": []}
{"competition_id": "125981", "kernels": [{"ref": "armaanm77/sample-submission-ps1", "kernel_id": "104269061"}, {"ref": "agastyan25123002/notebook-1", "kernel_id": "104627116"}, {"ref": "kavyaiitr/project-1", "kernel_id": "105273534"}, {"ref": "dg1207/the-blind-flight", "kernel_id": "105129505"}, {"ref": "dg1207/the-blind-flight-inference", "kernel_id": "105791194"}, {"ref": "vihaan18/submission-1", "kernel_id": "105536364"}]}
{"competition_id": "125982", "kernels": [{"ref": "sandeepdhakaskr/notebookb517c345c6", "kernel_id": "105680736"}]}
{"competition_id": "125997", "kernels": []}
{"competition_id": "126099", "kernels": [{"ref": "mec7037/official", "kernel_id": "104506180"}]}
{"competition_id": "126113", "kernels": [{"ref": "berkutayasan/road-segmentation-from-satellite-mages", "kernel_id": "107151938"}]}
{"competition_id": "126118", "kernels": [{"ref": "antonoof/simple-submission", "kernel_id": "107486923"}, {"ref": "hmnshudhmn24/beyond-visible-spectrum-ai-for-agriculture-2026", "kernel_id": "107530579"}, {"ref": "hanifnoerrofiq/a-strategic-guide", "kernel_id": "108029176"}, {"ref": "lakhindarpal/boosting-automatic-crop-diseases-classification", "kernel_id": "108680904"}, {"ref": "kushp3690/notebookc852d8065d", "kernel_id": "109540732"}, {"ref": "gauravparkhedkar/notebook54b5472bef", "kernel_id": "110826845"}]}
{"competition_id": "126119", "kernels": [{"ref": "hanifnoerrofiq/icpr-2026-baseline-code-for-submission", "kernel_id": "105993236"}, {"ref": "lmminhquang/bvs-deep-learning", "kernel_id": "105941996"}, {"ref": "gfiuea/icpr-2026-attention-and-fusion", "kernel_id": "106879889"}, {"ref": "lmminhquang/bvs-hypersl", "kernel_id": "106067299"}, {"ref": "lmminhquang/icpr-2026", "kernel_id": "106082587"}, {"ref": "yaroslav53/bvs-ai-agri-2026-dataoverview-and-eda", "kernel_id": "108706490"}, {"ref": "lakhindarpal/automated-multimodal-crop-disease-diagnosis", "kernel_id": "108665255"}, {"ref": "yaroslav53/bvs-ai4agri-ms-rgb-hs", "kernel_id": "109039419"}, {"ref": "sasmitshashwat/2301ai20", "kernel_id": "109678056"}, {"ref": "mrsohelranapro/data-driven-multimodal-crop-disease-diagnosis", "kernel_id": "110848745"}, {"ref": "anupam2128/notebook76906d6776", "kernel_id": "110221008"}, {"ref": "akkiraj2363/team-11-submssions", "kernel_id": "110341126"}, {"ref": "akkiraj2363/team11submissions", "kernel_id": "110002935"}, {"ref": "gauravparkhedkar/team-11-submssions", "kernel_id": "110837231"}, {"ref": "wqi876/agriculture-competion", "kernel_id": "110157157"}, {"ref": "kushp3690/ultimate-solution-beyond-visible-spectrum", "kernel_id": "110972933"}]}
{"competition_id": "126130", "kernels": [{"ref": "khorkaijie/baseline-event-1", "kernel_id": "104451394"}]}
{"competition_id": "126138", "kernels": []}
{"competition_id": "126143", "kernels": []}
{"competition_id": "126152", "kernels": [{"ref": "harshitasingh0410/notebook8421e75c5e", "kernel_id": "105818967"}, {"ref": "aarushi07singh/revisiondojo-aarushi-singh", "kernel_id": "106212402"}, {"ref": "soumyajyotikarmakar/revisiondojo-research-spring-2026", "kernel_id": "111128691"}]}
{"competition_id": "126158", "kernels": [{"ref": "erguntiryaki/helios-corn-futures-comprehensive-eda", "kernel_id": "104819420"}, {"ref": "erguntiryaki/starter-notebook-with-baseline", "kernel_id": "104892853"}, {"ref": "edenecanlilar/sample-submission-notebook", "kernel_id": "104578320"}, {"ref": "edenecanlilar/submission-sample", "kernel_id": "104578428"}, {"ref": "gpch2159/helios-top-lb-scores-are-all-fake", "kernel_id": "105504213"}, {"ref": "erguntiryaki/improved-feature-engineering", "kernel_id": "105070626"}, {"ref": "sumit08/helios-corn-future-climate-2", "kernel_id": "105906676"}, {"ref": "sumit08/helios-corn-future-climate", "kernel_id": "105889960"}, {"ref": "ardi76/helios-scoring-the-score", "kernel_id": "105519043"}, {"ref": "alperenaslann/3-3-3", "kernel_id": "105473008"}, {"ref": "gauravparkhedkar/heliossol", "kernel_id": "105117569"}, {"ref": "ianteigen/top-lb-scores-are-all-fake-helios-challenge", "kernel_id": "105426406"}, {"ref": "hmnshudhmn24/helios-corn-futures-climate-challenge", "kernel_id": "105272530"}, {"ref": "ferariz/production-weighted-climate-stress-baseline", "kernel_id": "106675006"}, {"ref": "ferariz/metric-validation-harness", "kernel_id": "106650167"}, {"ref": "samsontsuma/helios-corn-futures-enhanced-feature-engine-790dfb", "kernel_id": "106815457"}, {"ref": "asadjabbar/eda-on-the-urban-flood-data-ipynb", "kernel_id": "106210811"}, {"ref": "realtalhacelik/corn-volatility-breaking-the-0-5-barrier", "kernel_id": "106329632"}, {"ref": "sword4949/helios-corn-futures-climate-challenge-private", "kernel_id": "107962618"}, {"ref": "mr0106/helios-corn-futures-competition", "kernel_id": "107866176"}, {"ref": "mr0106/professional-solution", "kernel_id": "107869378"}, {"ref": "mr0106/fixed-code-with-robust-data-loading", "kernel_id": "107870151"}, {"ref": "mr0106/professional-fix-exact-row-count-match", "kernel_id": "107871367"}, {"ref": "mr0106/professional-fix-id-matching-issue", "kernel_id": "107872676"}, {"ref": "mr0106/helios-corn-futures-climate-challenge", "kernel_id": "107876431"}, {"ref": "mr0106/advanced-climate-risk-feature-engineering", "kernel_id": "107859810"}, {"ref": "ngarai/helios-prediction", "kernel_id": "107773478"}, {"ref": "dragonaja/helios-corn-futures-enhanced-feature-engineering", "kernel_id": "107735685"}, {"ref": "hassanrazzaq11/notebook3a7184a72f", "kernel_id": "108143841"}, {"ref": "ganeshstemx/cg-solution", "kernel_id": "109101384"}, {"ref": "gpch2159/s-lb-74-23-helios-final-submission-no-leak", "kernel_id": "109359321"}, {"ref": "gpch2159/s-73-89-helios-final-submission-no-leakage", "kernel_id": "109359410"}, {"ref": "kadircandrisolu/helios-single-feature-79-26-cfcs", "kernel_id": "109454573"}]}
{"competition_id": "126161", "kernels": [{"ref": "yurakabantsov/kabantsov-yuriy", "kernel_id": "105149860"}, {"ref": "alwalone/notebook5d9de2953d", "kernel_id": "105544774"}, {"ref": "miroroo/notebook6e117f85b2", "kernel_id": "105150378"}, {"ref": "sergeydashkovskiy/ecom-intern000", "kernel_id": "120688324"}, {"ref": "dulinaira/dulina-irina-internship", "kernel_id": "120409050"}, {"ref": "azernem/notebook4ec9c8b806", "kernel_id": "120577582"}]}
{"competition_id": "126295", "kernels": []}
{"competition_id": "126299", "kernels": []}
{"competition_id": "126310", "kernels": [{"ref": "hmnshudhmn24/splxutspan-2026-data-challenge", "kernel_id": "106368551"}, {"ref": "creasy5454/amin-nabavi-splxutspan-2026-data-challenge", "kernel_id": "109652650"}, {"ref": "elliotsones/elliot-s-methodology-submission", "kernel_id": "110128806"}, {"ref": "peiyuanshen/splxutspan-2026-data-challenge-report", "kernel_id": "110119128"}]}
{"competition_id": "126383", "kernels": []}
{"competition_id": "126441", "kernels": [{"ref": "swas06/cosmicchallenge-modelling", "kernel_id": "104988210"}, {"ref": "ravi20076/csi2025-baseline-v1", "kernel_id": "104904411"}, {"ref": "anayghode/cosmic", "kernel_id": "104927786"}, {"ref": "hmnshudhmn24/cosmic-stability-index-regression-challenge", "kernel_id": "104967327"}]}
{"competition_id": "126561", "kernels": [{"ref": "amitkumar1609/esenotebook6", "kernel_id": "104900392"}, {"ref": "shubjaat02/final-ese", "kernel_id": "104928230"}, {"ref": "gauravkaushal1/log-loss", "kernel_id": "104895731"}, {"ref": "gauravkaushal1/gaurav-ese", "kernel_id": "104906640"}, {"ref": "vidhusrivastava/notebook7fb5b8a188", "kernel_id": "104898237"}, {"ref": "vidhusrivastava/notebook76e0f6921a", "kernel_id": "104925841"}, {"ref": "vidhusrivastava/notebookese-prac", "kernel_id": "104928028"}, {"ref": "sudhakar02/final-ese-adi2", "kernel_id": "104905501"}, {"ref": "adityakumar230405/final-ese", "kernel_id": "104899222"}, {"ref": "anirudhkumar07/notorous1", "kernel_id": "104940655"}, {"ref": "tarunsingh198/tarunsingh", "kernel_id": "104898804"}, {"ref": "tarunsingh198/esenotebook4", "kernel_id": "104894466"}, {"ref": "tarunsingh198/esenotebook3", "kernel_id": "104888838"}, {"ref": "shivamrai7/notebook8fee6dc2be", "kernel_id": "104928108"}, {"ref": "shivamrai7/notebookffb7e777f7", "kernel_id": "104928453"}, {"ref": "vineetsingh95698/mock-ese", "kernel_id": "104895539"}, {"ref": "ankit7985/sameerbhai", "kernel_id": "104902035"}, {"ref": "prashantjain786/ese-joshi-backup", "kernel_id": "104915675"}, {"ref": "mohammadfahim005/notebook2027052e91", "kernel_id": "116215132"}]}
{"competition_id": "126678", "kernels": [{"ref": "anujsaha0123456789/how-much-is-he-worth", "kernel_id": "104960547"}, {"ref": "jimgruman/networth", "kernel_id": "105008869"}]}
{"competition_id": "126755", "kernels": [{"ref": "hmnshudhmn24/m2-big-data-dlia-project-2025", "kernel_id": "107650848"}]}
{"competition_id": "126758", "kernels": [{"ref": "luifernandosolis/hackathon-notebook", "kernel_id": "105071066"}, {"ref": "sihomaraochoa/hackathon-notebook", "kernel_id": "105072624"}, {"ref": "harrykesh/what-are-npz-files", "kernel_id": "105183385"}, {"ref": "abdonrimachevargas/hackathon-notebook-khipu", "kernel_id": "105073284"}]}
{"competition_id": "126762", "kernels": []}
{"competition_id": "126764", "kernels": []}
{"competition_id": "126766", "kernels": [{"ref": "vooooooom/pixelplay-baseline", "kernel_id": "105298915"}, {"ref": "sandeepdhakaskr/notebook024b5452b0", "kernel_id": "106380303"}]}
{"competition_id": "126774", "kernels": []}
{"competition_id": "126777", "kernels": [{"ref": "andandand/jaguar-re-identification-challenge-baseline", "kernel_id": "106911975"}, {"ref": "sword4949/jaguar-re-identification-challenge", "kernel_id": "107662701"}, {"ref": "abhinavsharma0706/jaguar-01", "kernel_id": "107593405"}, {"ref": "lightningv08/jaguar-challenge-0-892-simple-solution", "kernel_id": "107631939"}, {"ref": "lakhindarpal/jaguar-re-identification-challenge", "kernel_id": "107771623"}, {"ref": "tjdevil07/0-738jaguar-re-identification-metric-learning", "kernel_id": "107654756"}, {"ref": "tjdevil07/score-0-82-attention-arcface-tripletloss", "kernel_id": "107602430"}, {"ref": "nikitakuznetsof/jaguar-let-s-start", "kernel_id": "107459101"}, {"ref": "truthminer/swin-metric-learning-arcface-style-score-0-893", "kernel_id": "107721864"}, {"ref": "takahitomizunobyts/comprehens-eda-jaguar-re-identification-chall", "kernel_id": "107881595"}, {"ref": "hmnshudhmn24/jaguar-re-identification-challenge", "kernel_id": "107325084"}, {"ref": "alperr/jaguar-re-identification", "kernel_id": "108839196"}, {"ref": "awallay/jaguar-re-id-dinov2-arcface-pipeline", "kernel_id": "108419262"}, {"ref": "awallay/jaguar-re-identification-0-93-score", "kernel_id": "108632182"}, {"ref": "awallay/where-this-jaguar-at", "kernel_id": "108697803"}, {"ref": "elcientfico/ordering-leakage-test", "kernel_id": "108274913"}, {"ref": "aliwannous2021/emb-jrc", "kernel_id": "108798774"}, {"ref": "kawaharataishi/pseudo-labeling", "kernel_id": "108655319"}, {"ref": "kawaharataishi/jaguar-re-id-starter-set-training-notebook", "kernel_id": "108093134"}, {"ref": "kawaharataishi/jaguar-re-id-starter-set-inference-notebook", "kernel_id": "108066727"}, {"ref": "nandakr2940/notebook8cfa2bec61", "kernel_id": "108435663"}, {"ref": "yusufmurtaza01/jaguar-re-id", "kernel_id": "108529285"}, {"ref": "sanidhyavijay24/jaguar-re-id-0-938-eva-02-optimal-blending", "kernel_id": "108982623"}, {"ref": "kodaifukuda0311/vit-for-jaguar-re-id-eva-02-arcface-0-905", "kernel_id": "108382036"}, {"ref": "zaouiyassine/jaguar-re-identification-challenge-attempt", "kernel_id": "108470410"}, {"ref": "aodebiao666/jaguar-re-identification-challenge", "kernel_id": "108297577"}, {"ref": "abhishekgupta56447/jaguar-re-identification-challenge", "kernel_id": "108941273"}, {"ref": "huangxin14/subcenterarcface-eva02", "kernel_id": "108440575"}, {"ref": "huangxin14/pre-trained-vit-base", "kernel_id": "108452648"}, {"ref": "stpeteishii/jaguar-lightglue-similarity-search", "kernel_id": "109503910"}, {"ref": "stpeteishii/jaguar-dataset-background-removal", "kernel_id": "109513877"}, {"ref": "stpeteishii/jaguar-lightglue-similarity-search-for-sub", "kernel_id": "109523378"}, {"ref": "stpeteishii/dinov2-jaguar-patch-similarity-search", "kernel_id": "109132921"}, {"ref": "stpeteishii/cat-background-removal-segment-anything", "kernel_id": "109106999"}, {"ref": "stpeteishii/extracting-square-patches-of-jaguar-pattern", "kernel_id": "109096487"}, {"ref": "stpeteishii/dinov2-jaguar-similarity-search-for-sub", "kernel_id": "109049990"}, {"ref": "abhinavsharma0706/jaguar-002", "kernel_id": "109793666"}, {"ref": "abhinavsharma0706/jaguar-001", "kernel_id": "109769330"}, {"ref": "shazy021/jaguar-re-id-masks-eda-clean-val-split", "kernel_id": "109412600"}, {"ref": "zitounakarim/jaguar-re-id-challenge", "kernel_id": "109789041"}, {"ref": "lightningv08/jaguar-challenge-0-941-eva-02-simple-solution", "kernel_id": "109825283"}, {"ref": "ashwinmahawar/jaguar-reidentification-with-resnet-for-beginner", "kernel_id": "109279057"}, {"ref": "umutcanetin/jaguar-re-identification-baseline-with-resnet", "kernel_id": "109240197"}, {"ref": "krishnayadav456wrsty/jaguar-re-identification-challenge-optimal", "kernel_id": "109367363"}, {"ref": "krishnayadav456wrsty/fork-of-jaguar-re-identification-challenge-baselin", "kernel_id": "109367006"}, {"ref": "mdnaimislam165436/jaguar-re-identification", "kernel_id": "109141009"}, {"ref": "deviprasad09/jaguar-reid-metric-learning", "kernel_id": "109122083"}, {"ref": "nina2025/jaguar-re-identification-h-blend", "kernel_id": "109422712"}, {"ref": "vincenteichhorn03/final-jaguar", "kernel_id": "109980422"}, {"ref": "nironiro/jaguar-challeng-autogluon-v1", "kernel_id": "110247300"}, {"ref": "shazy021/jaguar-re-id-pseudo-labeling-t-v-split-pl", "kernel_id": "110467127"}, {"ref": "yashpalthakor/pantheraid-deep-metric-learning-for-jaguar", "kernel_id": "110602199"}, {"ref": "saurabhrajvarma/jaguar-re-identification", "kernel_id": "110997492"}, {"ref": "gabrielcaramori/nbcomp-jaguar", "kernel_id": "110172597"}, {"ref": "mah20050/apex-predictor", "kernel_id": "110099365"}, {"ref": "valarmorghulis30/jaguar-bro", "kernel_id": "110247503"}, {"ref": "nishu65/jaguar", "kernel_id": "110086791"}, {"ref": "rahulchauhan016/jaguar-reid-dinov2-base-arcface-v1", "kernel_id": "110899272"}, {"ref": "emanuellcs/jaguar-re-identification", "kernel_id": "110870946"}, {"ref": "vincenteichhorn03/final-jaguar-2", "kernel_id": "110621143"}, {"ref": "hamad23232/jaguar-challenge-0-941-eva-02-simple-solution", "kernel_id": "110763415"}, {"ref": "bubbletide/megadescriptor-l-384", "kernel_id": "110614115"}, {"ref": "andandand/simple-data-exploration", "kernel_id": "111574859"}, {"ref": "biraripc/experiment-13-arcface-sweep", "kernel_id": "111513234"}, {"ref": "alexycactus/v07c-notebook", "kernel_id": "111480401"}, {"ref": "alexycactus/v07a-notebook", "kernel_id": "111403616"}, {"ref": "alexycactus/v07b-notebook", "kernel_id": "111403731"}, {"ref": "alexycactus/v07e-notebook", "kernel_id": "111520571"}, {"ref": "alexycactus/v07d-notebook", "kernel_id": "111497590"}, {"ref": "alexycactus/05-convnext-augmentation", "kernel_id": "111311356"}, {"ref": "alexycactus/04-backbone-search", "kernel_id": "111230787"}, {"ref": "alexycactus/v03-arcface", "kernel_id": "111183620"}, {"ref": "alexycactus/02-fine-tuned-classifier", "kernel_id": "111060281"}, {"ref": "zeeshanyounas001/jaguar-re-id-convnextv2-arcface-gem", "kernel_id": "111676696"}, {"ref": "vedant10patil/experiment-7", "kernel_id": "111566820"}, {"ref": "nurikw3/lb-0-929-eva-02-large-re-ranking", "kernel_id": "111586171"}, {"ref": "nurikw3/0-955-eva-02-simple-solution", "kernel_id": "111559416"}, {"ref": "arkatkhasanov/jaguar-reid", "kernel_id": "111823086"}, {"ref": "mishankjain/jaguar-reid-exp05-hyperparam-sweep", "kernel_id": "111197642"}, {"ref": "mishankjain/jaguar-reid-exp02-loss-comparison", "kernel_id": "111092421"}, {"ref": "mishankjain/jaguar-reid-exp04-reranking", "kernel_id": "111187906"}, {"ref": "ddsdsfdsfsfa/fgfgf-v2", "kernel_id": "111200447"}, {"ref": "dhritimanchakrabarty/probably-the-best-notebook-you-will-see", "kernel_id": "111157665"}, {"ref": "aminmahmoudalifayed/jaguar-re-id-the-winning-blueprint-game-over", "kernel_id": "111708325"}, {"ref": "aminmahmoudalifayed/game-over", "kernel_id": "111889426"}, {"ref": "biraripc/experiment-14-seed-stability", "kernel_id": "112177969"}, {"ref": "mstfasmir/jag-is-that-you", "kernel_id": "112009568"}, {"ref": "jonaskubeler/tripletloss-adagrad", "kernel_id": "112202112"}, {"ref": "jonaskubeler/tripletloss-adam", "kernel_id": "112134697"}, {"ref": "jonaskubeler/tripletloss-with-padding", "kernel_id": "112126792"}, {"ref": "rommelsharma/0-840-jaguar-id-megadescriptor-l-with-llrd", "kernel_id": "112809632"}, {"ref": "aymenboulahia/notebooka198e0815f", "kernel_id": "115749704"}, {"ref": "lucalullo/jaguar-re-identification-megadescriptor-arcface", "kernel_id": "122928018"}, {"ref": "ganeshkarthik016/notebooked4c7fd1ae", "kernel_id": "126281685"}, {"ref": "rommelsharma/0-95-jaguar-re-id-frozen-dinov2-giant", "kernel_id": "127536181"}, {"ref": "rommelsharma/0-958-jaguar-re-id-frozen-dinov2-giant-5-fold-cv", "kernel_id": "127972104"}]}
{"competition_id": "126784", "kernels": [{"ref": "facelessman/harbor-challenge-traditional-ml-baselines", "kernel_id": "105719758"}]}
{"competition_id": "126792", "kernels": []}
{"competition_id": "126793", "kernels": []}
{"competition_id": "126795", "kernels": []}
{"competition_id": "126796", "kernels": []}
{"competition_id": "126797", "kernels": []}
{"competition_id": "126799", "kernels": []}
{"competition_id": "126800", "kernels": []}
{"competition_id": "126801", "kernels": [{"ref": "mohankrishnathalla/student-performance-evaluation", "kernel_id": "105374502"}]}
{"competition_id": "126838", "kernels": [{"ref": "ravi20076/ppi2025-baseline-v1", "kernel_id": "105334824"}, {"ref": "harrykesh/can-t-sleep-so-might-as-well-code", "kernel_id": "105344208"}, {"ref": "eric15342335/exploratory-data-analysis", "kernel_id": "105401859"}, {"ref": "hmnshudhmn24/prediction-of-performance-impact", "kernel_id": "107649779"}, {"ref": "swas06/performanceimpact-eda", "kernel_id": "108092697"}]}
{"competition_id": "126852", "kernels": []}
{"competition_id": "126853", "kernels": [{"ref": "syedshaanhusain/spaceship-titanic-community-baseline", "kernel_id": "125950547"}, {"ref": "amoor1616/notebookbbc1592016", "kernel_id": "134775481"}]}
{"competition_id": "126870", "kernels": []}
{"competition_id": "126885", "kernels": []}
{"competition_id": "126892", "kernels": [{"ref": "hmnshudhmn24/faim-sgp-26j-sarah-gets-a-diamond", "kernel_id": "110599662"}]}
{"competition_id": "126909", "kernels": [{"ref": "demostheneor/wine-quality-classification-starter-guide-ensgti", "kernel_id": "105403927"}]}
{"competition_id": "126916", "kernels": [{"ref": "hmnshudhmn24/dsc-bi-weekly-challenge-1-nyc-real-estate-price", "kernel_id": "106067133"}]}
{"competition_id": "126922", "kernels": []}
{"competition_id": "126923", "kernels": []}
{"competition_id": "126924", "kernels": []}
{"competition_id": "126927", "kernels": []}
{"competition_id": "126954", "kernels": [{"ref": "tabassumasra/notebook7bbfc39b5d", "kernel_id": "105681422"}, {"ref": "arjund29/tri-model-ensemble", "kernel_id": "106079818"}, {"ref": "choudharyanshul/submission", "kernel_id": "106305521"}, {"ref": "kausheyaroy/viralityscore", "kernel_id": "106006322"}, {"ref": "dodiyamahavirsinh/data-blitz-sub", "kernel_id": "106107488"}, {"ref": "rushalverma/notebookf5c52ce673", "kernel_id": "106010723"}, {"ref": "srijitdasml/notebooke8a60df3c7", "kernel_id": "106397916"}, {"ref": "srijitdasml/virality", "kernel_id": "106410596"}, {"ref": "paartharora1/notebook76bfec7e99", "kernel_id": "106369370"}]}
{"competition_id": "126957", "kernels": [{"ref": "cosheimil/new-year-competition-baseline", "kernel_id": "105692023"}]}
{"competition_id": "126971", "kernels": []}
{"competition_id": "126972", "kernels": [{"ref": "mec7037/template", "kernel_id": "105693855"}]}
{"competition_id": "126978", "kernels": [{"ref": "nikolatesla13/baseline-face-matching-aicc-round-2", "kernel_id": "105686586"}, {"ref": "orionaraf/aicc-round-2-face-matching", "kernel_id": "111727709"}]}
{"competition_id": "126979", "kernels": [{"ref": "nikolatesla13/baseline-essay-gap-aicc-round-2", "kernel_id": "105686431"}, {"ref": "orionaraf/aicc-round-2-essay-gap", "kernel_id": "111218741"}]}
{"competition_id": "126984", "kernels": []}
{"competition_id": "126994", "kernels": [{"ref": "miklgr500/lr-baseline", "kernel_id": "105768476"}, {"ref": "xswepp/time-series-like-binary-classification", "kernel_id": "106499775"}, {"ref": "saatarko/21vec-demand-pattern-0-39", "kernel_id": "108691534"}, {"ref": "karnelian/21vec2-demand-pattern2", "kernel_id": "108607826"}, {"ref": "hmnshudhmn24/21vek-by-demand-pattern-prediction", "kernel_id": "108383321"}, {"ref": "margaritunya/21vek-by-demand-pattern-prediction", "kernel_id": "108689445"}, {"ref": "artsiomzasinets/notebookf43c8de8aa", "kernel_id": "108742302"}]}
{"competition_id": "127000", "kernels": []}
{"competition_id": "127026", "kernels": []}
{"competition_id": "127028", "kernels": [{"ref": "hmnshudhmn24/track1-llm-operator-development-and-optimization", "kernel_id": "106024812"}, {"ref": "luciankucera/trill-contiguous", "kernel_id": "107196131"}, {"ref": "jasonkarpeles/track1-log10-final-submission", "kernel_id": "108416650"}, {"ref": "jasonkarpeles/track1-log10-operator-0-8398", "kernel_id": "108416700"}, {"ref": "ishitabahamnia/llm-operator-development-and-optimization", "kernel_id": "108686660"}, {"ref": "luciankucera/gridsample4d-bilinear-zeros", "kernel_id": "109645029"}, {"ref": "luciankucera/upsample-nearest-2d", "kernel_id": "109611120"}, {"ref": "ishitabahamnia/track1-llm-operator-development-and", "kernel_id": "109935676"}, {"ref": "ispromashka/flagos-log10-triton-kernel", "kernel_id": "111315615"}, {"ref": "ishitabahamnia/istrack1-llm-operator-development-and-optimization", "kernel_id": "113200767"}, {"ref": "mohit98765/flagos-track1-all-20-triton-operators", "kernel_id": "117775366"}, {"ref": "drrkotteeswaran/flaggems-log10-triton-operator-track1-submission", "kernel_id": "119662752"}, {"ref": "ladyfaye/flagos-track-1-submission", "kernel_id": "119969405"}, {"ref": "avikdas567/advanced-triton-gpu-optimization-for-20-operators", "kernel_id": "119476051"}, {"ref": "rabeya100x/flagos-track1-champion-all-20-triton-operators", "kernel_id": "119684387"}, {"ref": "viniciusserravianna/flagos-track-1-log10-baseline", "kernel_id": "120894076"}]}
{"competition_id": "127039", "kernels": []}
{"competition_id": "127061", "kernels": [{"ref": "hmnshudhmn24/predicting-the-beats-per-minute-of-songs", "kernel_id": "106446874"}, {"ref": "nguynvminhthin/lightgbm-5-cv-folds-bayesian", "kernel_id": "109020256"}]}
{"competition_id": "127086", "kernels": []}
{"competition_id": "127087", "kernels": [{"ref": "hmnshudhmn24/random-majority-circuit-learning", "kernel_id": "106446532"}]}
{"competition_id": "127090", "kernels": [{"ref": "hmnshudhmn24/cuhkml2025-regression-score-169-809", "kernel_id": "106124246"}, {"ref": "eric15342335/autogluon-best-quality-v150-leaked-action-type", "kernel_id": "108775269"}]}
{"competition_id": "127091", "kernels": [{"ref": "hmnshudhmn24/cuhkml2025-classification-score-0-854", "kernel_id": "106123951"}, {"ref": "denislu/cuhkml2025-classification-score-0-933", "kernel_id": "107815567"}, {"ref": "eric15342335/corrupted-test-data-data-leakage", "kernel_id": "108135937"}]}
{"competition_id": "127094", "kernels": [{"ref": "hmnshudhmn24/stock-price-predictor-score-0-63835", "kernel_id": "106068607"}, {"ref": "payaldhokane/stock-price-prediction", "kernel_id": "107119814"}]}
{"competition_id": "127112", "kernels": [{"ref": "hmnshudhmn24/bdacc-competition-score-49-92491", "kernel_id": "106123640"}]}
{"competition_id": "127127", "kernels": [{"ref": "nasalsu/notebook53fbac1823", "kernel_id": "106354690"}, {"ref": "agiaozzzz/fenlei", "kernel_id": "106981684"}]}
{"competition_id": "127129", "kernels": []}
{"competition_id": "127146", "kernels": [{"ref": "jdomguia/notebook-pour-debuter", "kernel_id": "106152279"}, {"ref": "hmnshudhmn24/titanic-ml-introduction-seminar2-1-xpand-olympiad", "kernel_id": "106215396"}, {"ref": "abhishekch123/titanic-ml-data-cleaning-baseline-model", "kernel_id": "107832681"}]}
{"competition_id": "127153", "kernels": []}
{"competition_id": "127155", "kernels": [{"ref": "gpch2159/ufm2026-extra-dataset-model-1", "kernel_id": "106499369"}, {"ref": "gpch2159/ufm2026-extra-dataset-model-2", "kernel_id": "106502127"}, {"ref": "asadjabbar/eda-on-the-urban-flood-data-ipynb", "kernel_id": "106210811"}, {"ref": "saibhossain/urbanflood-modeling", "kernel_id": "106737122"}, {"ref": "recepbarkntopcu/urbanfloodbench-flood-modelling-eda", "kernel_id": "106245001"}, {"ref": "gauravparkhedkar/pipesol", "kernel_id": "106288273"}, {"ref": "hmnshudhmn24/urban-flood-bench-flood-modelling", "kernel_id": "106211770"}, {"ref": "timhenry/urbanflood-v2", "kernel_id": "107692849"}, {"ref": "timhenry/urbanflood-v3", "kernel_id": "107722252"}, {"ref": "sword4949/urbanfloodbench-flood-modelling-private", "kernel_id": "107963486"}, {"ref": "wangyiz/urban-flood-forecasting2", "kernel_id": "107764312"}, {"ref": "tsaitang00124/geometric-data-visualization", "kernel_id": "108315666"}, {"ref": "pencilred/naive-approach", "kernel_id": "108183864"}, {"ref": "ashsihkumar/urbanfloodbench-flood-modelling", "kernel_id": "108377885"}, {"ref": "tamseelhamdani/urbanfloodbench-flood-modelling-aef", "kernel_id": "108530222"}, {"ref": "shreygandhi/heterognn", "kernel_id": "109388582"}, {"ref": "alanamonks/urban-floods-arx-model", "kernel_id": "109403631"}, {"ref": "saibhossain/urban-flood-modelling-code-2", "kernel_id": "109358527"}, {"ref": "rhythmghai/spatio-temporal-graph-transformer-stgt", "kernel_id": "109462149"}, {"ref": "prabhpreetsingh5/flood-v3-autoregressive-lightgbm", "kernel_id": "109758550"}, {"ref": "prabhpreetsingh5/gnn-gru-on-tpu-jax-flax-graph-temporal-model", "kernel_id": "109679311"}, {"ref": "prabhpreetsingh5/lightlgm-1d-0-25-2d-features", "kernel_id": "109589920"}, {"ref": "arockianishas/time-series-rf-model-for-urban-flood-water-level", "kernel_id": "110970098"}, {"ref": "arockianishas/urban-flood-water-level-prediction-using-ml", "kernel_id": "110970435"}, {"ref": "suhanigupta04/spatiotemporal-lstm-neighbor-features", "kernel_id": "110989630"}, {"ref": "mafimashrafi/gnn-lstm-urban-flood-modeling", "kernel_id": "110092496"}, {"ref": "hengck23/example-pyhysics-informed-gnn", "kernel_id": "111207671"}, {"ref": "tobimichigan/state-of-the-art-pipeline-for-urban-flood", "kernel_id": "111599498"}, {"ref": "mr0106/vectorized-solution", "kernel_id": "111091407"}, {"ref": "mr0106/urban-floodbench-competition", "kernel_id": "111017068"}, {"ref": "mr0106/urban-flood-bench", "kernel_id": "111010938"}, {"ref": "mr0106/urbanfloodbench", "kernel_id": "111235030"}, {"ref": "mr0106/urbanfloodbench-flood-modelling", "kernel_id": "111203193"}, {"ref": "mr0106/urbanfloodbench-correct-solution", "kernel_id": "111254844"}, {"ref": "saibhossain/urban-flood-miss-match", "kernel_id": "111034055"}, {"ref": "saibhossain/stgnn-flood-prediction-baseline", "kernel_id": "111508480"}, {"ref": "saurabhrajvarma/urbanfloodbench-flood-modelling-lstm", "kernel_id": "111703317"}, {"ref": "yasmeenasaad/baseline-for-urbanfloodbench-flood-modelling", "kernel_id": "112466554"}, {"ref": "jobayerhossain/ufm-data-processing-m2", "kernel_id": "112320860"}, {"ref": "jobayerhossain/ufm-data-processing-m1", "kernel_id": "112320864"}, {"ref": "jobayerhossain/ufm-model1-training", "kernel_id": "112343054"}, {"ref": "jobayerhossain/ufm-model2-training", "kernel_id": "112064424"}, {"ref": "raniahelmy/urbanflood-lgbm-voting-regressor", "kernel_id": "112123891"}, {"ref": "raniahelmy/urbanflood-1d-lgbm-m2", "kernel_id": "112115516"}, {"ref": "raniahelmy/urbanflood-2d-lgbm-m1", "kernel_id": "112096629"}, {"ref": "raniahelmy/urbanflood-1d-lgbm-m1", "kernel_id": "112035577"}, {"ref": "monkmode1/urbanflow", "kernel_id": "112268577"}, {"ref": "mtmrs1/ridge-lightgbm-model-1-1d-2d", "kernel_id": "112482269"}, {"ref": "mtmrs1/5th-place-solution-ensemble-of-model-outputs", "kernel_id": "112486024"}, {"ref": "mtmrs1/ridge-lightgbm-pi-features-model-2-2d", "kernel_id": "112484204"}, {"ref": "mtmrs1/ridge-lightgbm-model-2-2d", "kernel_id": "112484053"}, {"ref": "mtmrs1/physics-informed-gnn-model-2-1d", "kernel_id": "112532261"}]}
{"competition_id": "127158", "kernels": [{"ref": "mec7037/clip-official-template", "kernel_id": "106187358"}]}
{"competition_id": "127160", "kernels": [{"ref": "hmnshudhmn24/i2526-ise-defect-detection-challenge", "kernel_id": "106294362"}]}
{"competition_id": "127218", "kernels": []}
{"competition_id": "127222", "kernels": []}
{"competition_id": "127250", "kernels": [{"ref": "mastershomya/how-much-will-i-gain-eda-xgb-baseline", "kernel_id": "106320338"}, {"ref": "parthzadeshwariya/leanmassgain", "kernel_id": "106583778"}, {"ref": "eric15342335/autogluon-best-quality-v150-leanmassgain", "kernel_id": "110175307"}]}
{"competition_id": "127276", "kernels": [{"ref": "cyprusaitraining/the-enigma-of-wine-quality", "kernel_id": "106293874"}, {"ref": "mariaa2010/wine-quality-comp", "kernel_id": "108509659"}, {"ref": "hmnshudhmn24/cyprus-ai-camp-the-enigma-of-wine-quality", "kernel_id": "108529605"}]}
{"competition_id": "127279", "kernels": [{"ref": "hmnshudhmn24/i2526-ise-product-classification-challenge", "kernel_id": "106294768"}]}
{"competition_id": "127282", "kernels": [{"ref": "picekl/animalclef2026-starter-notebook", "kernel_id": "108701369"}, {"ref": "basselashraf/animalclef-2026-auto-tuned-dbscan-with-test-time", "kernel_id": "108791235"}, {"ref": "lakhindarpal/animalclef-discovery-and-reidentification", "kernel_id": "108741318"}, {"ref": "hmnshudhmn24/animalclef26-cvpr-clef", "kernel_id": "108768627"}, {"ref": "hitoshiuchida/lb-0-2848-study-dataset-animalclef2026", "kernel_id": "109549219"}, {"ref": "stpeteishii/individual-differences-in-animalclef26", "kernel_id": "109137251"}, {"ref": "yashpalthakor/animalnet-discovery-pytorch", "kernel_id": "109369613"}, {"ref": "keeplershaurya/wildid-multi-model-animal-re-id-pipeline", "kernel_id": "109577785"}, {"ref": "oscarletech/animalclef2026-multimodel-ensemble-lb-0-25048", "kernel_id": "109574138"}, {"ref": "nabasaikia/animalclef-megadesc", "kernel_id": "110022196"}, {"ref": "mah20050/lynxid2026-neural-feature-mapping", "kernel_id": "111695852"}, {"ref": "esppik/animalclef2026-finetune-and-umap", "kernel_id": "112542227"}, {"ref": "wildlifedatasets/animalclef2026-official-baseline-improved", "kernel_id": "112493181"}, {"ref": "andandand/segmenting-salamanders-with-yoloe26-and-sam3", "kernel_id": "113047774"}, {"ref": "andandand/animalclef26-improvedbaseline", "kernel_id": "113150647"}, {"ref": "mrsimple07/animalclef-discovery-reidentification-of-animals", "kernel_id": "113853651"}, {"ref": "poco34/reid-animals-2", "kernel_id": "113131366"}, {"ref": "hadikp/animalclef26", "kernel_id": "113374046"}, {"ref": "poco34/animalclef2026-starter-notebook", "kernel_id": "114416381"}, {"ref": "aadityaiscoding/animalclef-2026", "kernel_id": "114849134"}, {"ref": "krystal33/animal-clustering", "kernel_id": "114219956"}, {"ref": "tsengchienchih/seaturtleid2022-finetune-eps-calibration", "kernel_id": "115358784"}, {"ref": "mukhilkannan/animalclef-discovery-reidentification-of-animals", "kernel_id": "115077808"}, {"ref": "chaitanyajamble/animal-clef-26-cvpr-clef", "kernel_id": "116624458"}, {"ref": "enisteper1/retrieval-feature-matching-clustering", "kernel_id": "117797501"}, {"ref": "ishitabahamnia/animalclef26-cvpr-clef", "kernel_id": "117135944"}, {"ref": "qrvmil/clustering-intensive", "kernel_id": "127135370"}]}
{"competition_id": "127283", "kernels": [{"ref": "michalcermak/temp-spatial-localization-with-bbox-dynamics", "kernel_id": "108923976"}, {"ref": "picekl/temporal-localization-with-optical-flow", "kernel_id": "109128356"}, {"ref": "dinowun/eda-simplified-accident-cvpr", "kernel_id": "109417382"}, {"ref": "mirzamilanfarabi/accident-cvpr-random", "kernel_id": "109434489"}, {"ref": "marekhanzl/synthetic-dataset-preview", "kernel_id": "109031211"}, {"ref": "marekhanzl/rule-based-accident-type-classification", "kernel_id": "109594653"}, {"ref": "hmnshudhmn24/accident-cvpr", "kernel_id": "109241214"}, {"ref": "yashpalthakor/two-stream-vision-transformer-for-traffic-accident", "kernel_id": "110063975"}, {"ref": "shyngys19732/accident-cvpr", "kernel_id": "110527423"}, {"ref": "sigmaborov/accident-cvpr-2026-ultra-fast-motion-baseline", "kernel_id": "110630026"}, {"ref": "zahidbooni/accident-cvpr-spatio-temporal-graph-convolution", "kernel_id": "111955038"}, {"ref": "ameythakur20/zero-shot-cctv-traffic-accident-understanding", "kernel_id": "113926322"}, {"ref": "lakhindarpal/zero-shot-accident-detection-clip", "kernel_id": "113333797"}, {"ref": "tomaszwowicz/golem-accident-cvpr", "kernel_id": "113292122"}, {"ref": "jayhawk1900/temporal-localization-with-optical-flow", "kernel_id": "114622094"}, {"ref": "stpeteishii/yolo-car-accident-detection", "kernel_id": "114771634"}, {"ref": "jirkaborovec/accident-eda-train-rf-detr-predict", "kernel_id": "115246755"}, {"ref": "adityasiraskar/kinematic-flow-hybrid", "kernel_id": "115014602"}, {"ref": "dinhhoang1910/zero-shot-cctv-traffic-accident-understanding", "kernel_id": "125497383"}, {"ref": "triminh123/zero-shot-cctv-traffic-accident-understandi-0391c7", "kernel_id": "125771935"}, {"ref": "huyhoan652002/fork-of-fulltest-accident-improve", "kernel_id": "127997903"}, {"ref": "leducthanh/fulltest-accident-improve", "kernel_id": "127258956"}, {"ref": "leducthanh/fork-of-fulltest-accident-improve", "kernel_id": "127335234"}, {"ref": "priyasharma040404/yolo-accident-prediction", "kernel_id": "129153345"}]}
{"competition_id": "127382", "kernels": [{"ref": "hmnshudhmn24/vzlet-07-01-26-score-353-07020", "kernel_id": "106369535"}]}
{"competition_id": "127395", "kernels": []}
{"competition_id": "127404", "kernels": [{"ref": "hmnshudhmn24/behavioral-fraud-detection", "kernel_id": "106539291"}]}
{"competition_id": "127458", "kernels": [{"ref": "hmnshudhmn24/learning-without-gradients", "kernel_id": "106475458"}]}
{"competition_id": "127477", "kernels": [{"ref": "tanishakbansal/notebookeaab72c23b", "kernel_id": "106740663"}, {"ref": "harshitashibe24/lightgbm-xgboost-ensemble-with-pseudo-labels", "kernel_id": "106562327"}, {"ref": "harshitashibe24/robust-bagging-ensemble-for-multiclass-data", "kernel_id": "106649810"}, {"ref": "jaspreetsingh33/submission-1", "kernel_id": "106650584"}, {"ref": "hmnshudhmn24/thapar-ucs654-2026-hack-01", "kernel_id": "106538759"}, {"ref": "nitinmalhotra13/ucs654hack01-1", "kernel_id": "106565495"}, {"ref": "erthanshusingh/notebookdf68d941f9", "kernel_id": "108950866"}, {"ref": "erthanshusingh/notebook43952f858a", "kernel_id": "109018476"}]}
{"competition_id": "127480", "kernels": [{"ref": "rbbbjp/multi-view-pig-posture-recognition-controlnet-data", "kernel_id": "106852686"}, {"ref": "hanifnoerrofiq/mppr-baseline-code-for-submission", "kernel_id": "106761480"}, {"ref": "sdeogade/multi-view-pig-posture-recognition", "kernel_id": "106898194"}, {"ref": "cvchallenge/multiview-dataset-py", "kernel_id": "106689562"}, {"ref": "cvchallenge/baseline-yolov11n-model-py", "kernel_id": "106691648"}, {"ref": "parfaitbotchi1/pig-posture-recognition-v2", "kernel_id": "106815124"}, {"ref": "nikita7364777/t1-pig-posture-classification", "kernel_id": "107341105"}, {"ref": "jiajinlu/multi-view3", "kernel_id": "107666495"}, {"ref": "parfaitbotchi1/pig-posture-recognition-global-dataset-for-yolo-s", "kernel_id": "108993634"}, {"ref": "gabrieee/multi-view-pig-recognition-ensamble", "kernel_id": "109527289"}, {"ref": "dorogao55/notebook5369c824eb", "kernel_id": "112036912"}, {"ref": "avikdas567/efficientnet-b0-for-multi-view-pig-posture-task", "kernel_id": "115480035"}, {"ref": "zaouiyassine/multi-view-posture-recognition-baseline-subs", "kernel_id": "116537461"}, {"ref": "jopreijnen/notebooke8abe22048", "kernel_id": "116968766"}, {"ref": "poco34/score-0-517-dinov2", "kernel_id": "117659245"}, {"ref": "sugupoko/t1-1model-lb0-890", "kernel_id": "118686691"}, {"ref": "sugupoko/t2-1models-llrd100-inference-on-notebook-lb0-897", "kernel_id": "118547678"}, {"ref": "parfaitbotchi1/sam3-pig-detection", "kernel_id": "118958744"}, {"ref": "parfaitbotchi1/pig-detection-notebook-score-79", "kernel_id": "118353186"}, {"ref": "jopreijnen/random-search-cv-implemented", "kernel_id": "118842673"}, {"ref": "samqwa/random-search-cv-implemented", "kernel_id": "118938598"}, {"ref": "sugupoko/t2-2models-llrd100-95-public1st-0-900", "kernel_id": "119551113"}, {"ref": "junicus/t2-2final-candidates-v46-v49-lb0-854", "kernel_id": "120282765"}, {"ref": "vicephamvu/notebook00b0677a55", "kernel_id": "125366820"}]}
{"competition_id": "127588", "kernels": [{"ref": "saurabhrajvarma/myllia-echoes-of-silenced-genes-a-cell-challenge", "kernel_id": "112295794"}]}
{"competition_id": "127613", "kernels": [{"ref": "timmor/premiers-pas-ofia-2026", "kernel_id": "108421914"}, {"ref": "hmnshudhmn24/ofia-2026-french-ai-olympiads", "kernel_id": "108432725"}]}
{"competition_id": "127699", "kernels": [{"ref": "hmnshudhmn24/exploring-mental-health-data", "kernel_id": "107140637"}]}
{"competition_id": "127702", "kernels": [{"ref": "kumarshrid/california", "kernel_id": "106711848"}, {"ref": "hmnshudhmn24/regression-w-a-tabular-california-housing-dataset", "kernel_id": "107138455"}, {"ref": "onesinustamba/regression-tabular-california-housing-dataset", "kernel_id": "114647529"}]}
{"competition_id": "127706", "kernels": [{"ref": "hmnshudhmn24/regression-with-an-insurance-dataset", "kernel_id": "107053043"}, {"ref": "nithinasi/regression-with-an-insurance-dataset", "kernel_id": "115701602"}, {"ref": "tugcebasyigit/regression-with-an-insurance-dataset", "kernel_id": "116171601"}]}
{"competition_id": "127709", "kernels": []}
{"competition_id": "127710", "kernels": [{"ref": "hmnshudhmn24/classification-with-an-academic-success-dataset", "kernel_id": "107052626"}]}
{"competition_id": "127711", "kernels": [{"ref": "lightningv08/cpm-california-top-1-clustering-autogluon-blend", "kernel_id": "109307788"}]}
{"competition_id": "127713", "kernels": [{"ref": "samasiayushman/demo-submission", "kernel_id": "106845106"}, {"ref": "harrykesh/anime-character-classifier", "kernel_id": "106792150"}, {"ref": "garvitofficial/anime-gender-prediction", "kernel_id": "107055205"}, {"ref": "qifeihhh666/demo-submission", "kernel_id": "107576704"}, {"ref": "ashsihkumar/anime-gender-classification", "kernel_id": "107064529"}, {"ref": "hmnshudhmn24/anime-gender-classification", "kernel_id": "107429127"}, {"ref": "hanifnoerrofiq/el-psy-kongroo", "kernel_id": "108010611"}, {"ref": "minnminncherry/anime-gender-classification", "kernel_id": "108436167"}, {"ref": "khaledshaheen/anime-gender-classification-90-acc", "kernel_id": "108919519"}, {"ref": "tolstoyjustin/anime-gender-classification-cv-score-0-9972", "kernel_id": "108644380"}, {"ref": "tolstoyjustin/anime-gender-classification-baseline", "kernel_id": "108643527"}, {"ref": "aryasatyagalen/anime-gender-prediction-imagenet1k", "kernel_id": "108043459"}, {"ref": "harrykesh/fork-of-anime-character-classifier", "kernel_id": "108826064"}, {"ref": "nishitapjahagirdar/anime-gender-classification", "kernel_id": "109805084"}, {"ref": "monsue/predic-image-anime", "kernel_id": "111477127"}, {"ref": "muhammaddanyalmalik/anime-0-1-classifier-2026", "kernel_id": "113875777"}]}
{"competition_id": "127718", "kernels": [{"ref": "hmnshudhmn24/regression-of-used-car-prices", "kernel_id": "106850878"}, {"ref": "osmanozcanli/usedcarprices", "kernel_id": "110085488"}, {"ref": "osmanozcanli/newusedcarprices", "kernel_id": "113477065"}, {"ref": "dulakshirajapakshe/newusedcarprices", "kernel_id": "129543971"}]}
{"competition_id": "127719", "kernels": []}
{"competition_id": "127720", "kernels": [{"ref": "hmnshudhmn24/regression-with-a-flood-prediction-dataset", "kernel_id": "106850215"}, {"ref": "ramazanulus/regression-with-a-flood-prediction-regressio", "kernel_id": "114126130"}, {"ref": "aaditya112/flood-prediction-with-k-fold", "kernel_id": "127322571"}]}
{"competition_id": "127721", "kernels": [{"ref": "hmnshudhmn24/predict-calorie-expenditure", "kernel_id": "106849314"}]}
{"competition_id": "127722", "kernels": [{"ref": "hmnshudhmn24/binary-prediction-with-a-rainfall-dataset", "kernel_id": "106771264"}, {"ref": "mhskaya/rainfall-prediction-challenge", "kernel_id": "122722371"}]}
{"competition_id": "127724", "kernels": [{"ref": "hmnshudhmn24/binary-classification-with-a-bank-dataset", "kernel_id": "106770230"}, {"ref": "mytalkwithyou/competition-binary-classification-bank-cust-churn", "kernel_id": "108059872"}, {"ref": "osmanozcanli/binary-classification-with-a-bank-dataset", "kernel_id": "110328643"}]}
{"competition_id": "127725", "kernels": [{"ref": "hmnshudhmn24/multi-class-prediction-of-cirrhosis-outcomes", "kernel_id": "106770696"}]}
{"competition_id": "127726", "kernels": [{"ref": "hmnshudhmn24/predicting-optimal-fertilizers", "kernel_id": "106714912"}, {"ref": "fatmasnmezyzseven/predicting-optimal-fertilizers-competition", "kernel_id": "116686896"}]}
{"competition_id": "127744", "kernels": [{"ref": "tunahaneler/bank-marketing-response-model", "kernel_id": "110122356"}, {"ref": "horiyuki0518/datascience-6126310191-hori-yuki", "kernel_id": "124887669"}, {"ref": "takeseryosuke/datascience-g7", "kernel_id": "124893495"}, {"ref": "subaru103/datascience7", "kernel_id": "125774632"}, {"ref": "nagataryosuke/data-science-7-nagata-ryosuke", "kernel_id": "125776359"}, {"ref": "subaru103/datascience-group7", "kernel_id": "128449855"}, {"ref": "yuto751635/notebook4c8cbf21f0", "kernel_id": "128449604"}, {"ref": "tmstnao/notebook4c5da6aef0", "kernel_id": "128449209"}]}
{"competition_id": "127745", "kernels": []}
{"competition_id": "127753", "kernels": [{"ref": "hmnshudhmn24/dsaib-2025-2026-forest-cover-type-2-0", "kernel_id": "106964637"}]}
{"competition_id": "127835", "kernels": []}
{"competition_id": "127866", "kernels": [{"ref": "omeraydin1/house-price-prediction", "kernel_id": "114207315"}]}
{"competition_id": "127941", "kernels": []}
{"competition_id": "127943", "kernels": []}
{"competition_id": "127956", "kernels": []}
{"competition_id": "127961", "kernels": [{"ref": "hmnshudhmn24/stock-price-directional-move-prediction", "kernel_id": "107279236"}, {"ref": "lakhindarpal/stock-price-directional-move-prediction-stacking", "kernel_id": "108090581"}, {"ref": "lightningv08/stock-price-direction-tabicl-single-model", "kernel_id": "109254427"}, {"ref": "linashpileva/tesla-hse", "kernel_id": "112496498"}]}
{"competition_id": "128033", "kernels": []}
{"competition_id": "128049", "kernels": [{"ref": "sword4949/harmonizing-the-data-of-your-data", "kernel_id": "108383710"}, {"ref": "zzzzgod/sdrf-baseline", "kernel_id": "108550748"}, {"ref": "ishitabahamnia/harmonizing-the-data-of-your-data", "kernel_id": "108497993"}, {"ref": "hmnshudhmn24/harmonizing-the-data-of-your-data", "kernel_id": "108160448"}, {"ref": "martinijean/6-lines-baseline", "kernel_id": "108323282"}, {"ref": "ngusadeep/data-harmonizer", "kernel_id": "109823435"}, {"ref": "ramazanturann/rule-based-sdrf-metadata-extraction-with-regex", "kernel_id": "110028688"}, {"ref": "sigmaborov/harmonix-sdrf-baseline", "kernel_id": "110928016"}, {"ref": "prabhpreetsingh5/harmonix-sdrf", "kernel_id": "110912340"}, {"ref": "ramazanturann/paper-to-sdrf-hybrid", "kernel_id": "111689514"}, {"ref": "martinmbalkam/harmonix-rag", "kernel_id": "111686229"}, {"ref": "rauffauzanrambe/the-harmoning-elements", "kernel_id": "111850195"}, {"ref": "rauffauzanrambe/ensemble-tf-idf-multi-label-prediction-system", "kernel_id": "111867977"}, {"ref": "dasdasdada/metric-aware-sdrf-ensemble-for-proteomics", "kernel_id": "112519628"}, {"ref": "ashsihkumar/harmonizing-the-data-of-your-data", "kernel_id": "112107640"}, {"ref": "osamaalwjih/fork-of-fork-of-harmonizing-notebook", "kernel_id": "112139734"}, {"ref": "dheerajkannaujiya/summery", "kernel_id": "112110346"}, {"ref": "ameythakur20/sdrf-metadata-extraction-baseline", "kernel_id": "113835170"}, {"ref": "ameythakur20/harmonizing-the-data-of-your-data", "kernel_id": "113991042"}, {"ref": "lakhindarpal/harmonizing-the-data-of-your-data-google-gemini", "kernel_id": "113029171"}, {"ref": "muhammaddanyalmalik/harmonizing-data", "kernel_id": "113530267"}, {"ref": "saurabhrajvarma/proteomics-metadata-extraction", "kernel_id": "113964123"}, {"ref": "discryproduccion/savant-v19-0-harmonic-titan-final-strike", "kernel_id": "113996735"}, {"ref": "mawramusawwar/harmonizing-the-data-of-your-data-0-27", "kernel_id": "113057508"}, {"ref": "avikdas567/hybrid-tf-idf-rules-for-sdrf-metadata-extraction", "kernel_id": "113605067"}, {"ref": "saurabhrajvarma/automated-sdrf-metadata-extraction-pipeline", "kernel_id": "114078324"}, {"ref": "discryproduccion/savant-v19-harmonic-titan-plus", "kernel_id": "114053279"}, {"ref": "discryproduccion/savant-v20-harmonic-titan-plus", "kernel_id": "114051606"}, {"ref": "rimsha234/llm-agentic-legal-information-retrieval", "kernel_id": "124813025"}]}
{"competition_id": "128062", "kernels": [{"ref": "hmnshudhmn24/from-hit-identification-to-lead-prioritization", "kernel_id": "107278701"}, {"ref": "alanamonks/13-different-models-for-chemistry-regression-task", "kernel_id": "109406245"}]}
{"competition_id": "128089", "kernels": []}
{"competition_id": "128112", "kernels": []}
{"competition_id": "128113", "kernels": []}
{"competition_id": "128115", "kernels": [{"ref": "abhishekg160/notebook05af8433b6", "kernel_id": "107264419"}, {"ref": "hmnshudhmn24/thapar-ucs654-2026-hack-02-new", "kernel_id": "107171593"}]}
{"competition_id": "128200", "kernels": [{"ref": "hmnshudhmn24/algo-arena-robust-xgboost-baseline", "kernel_id": "107171259"}, {"ref": "vasubuha/algo-arena", "kernel_id": "109300324"}, {"ref": "mukundtimbadiya/lightbgm", "kernel_id": "109337774"}, {"ref": "mukundtimbadiya/algo-arena-ensemble-xgboost-lightbgm", "kernel_id": "109339285"}, {"ref": "mukundtimbadiya/algo-arena-personality", "kernel_id": "109234691"}, {"ref": "jpviradiya/algo-arena", "kernel_id": "109437675"}]}
{"competition_id": "128242", "kernels": []}
{"competition_id": "128250", "kernels": [{"ref": "nikitamanaenkov/mars-environmental-dynamics-analyzer-sample", "kernel_id": "107201325"}, {"ref": "hmnshudhmn24/mars-environmental-dynamics-analyzer-meda", "kernel_id": "107277548"}, {"ref": "ginterhauser/mars-meda-soft-gumbel", "kernel_id": "126380627"}]}
{"competition_id": "128258", "kernels": [{"ref": "studybeetutoring/sample-starter-notebook", "kernel_id": "107346907"}, {"ref": "hmnshudhmn24/baristabench-the-reasoning-challenge", "kernel_id": "107427259"}, {"ref": "chakrabhuanavdeva/starter-notebook", "kernel_id": "108322994"}, {"ref": "lennarthaupts/barista-bench-from-words-to-priced-orders", "kernel_id": "108230901"}, {"ref": "atharva0577/llm-barista-prefix-caching-gemma", "kernel_id": "108920758"}, {"ref": "nikitakuznetsof/llama-starter", "kernel_id": "108160122"}, {"ref": "artembelous/starter-notebook", "kernel_id": "108620721"}, {"ref": "navy007/0-35-score-no-fine-tuning-qwen7b", "kernel_id": "108926551"}, {"ref": "joetheguide/qwen-8b-supervised-fine-tuning-unsloth", "kernel_id": "108921456"}, {"ref": "joetheguide/qwen3-8b-sft-one-shot-prompt-starter", "kernel_id": "108957944"}, {"ref": "stpeteishii/qwen2-5-1-5b-few-shot-learn-w-gpu", "kernel_id": "109426495"}, {"ref": "cannnn/fine-tuning-llama-3-8b-with-unsloth-pb-0-92", "kernel_id": "109402822"}, {"ref": "kakuteki/baristabench-v5-submit", "kernel_id": "109168285"}, {"ref": "abhinavsharma0706/barista-01", "kernel_id": "109979058"}, {"ref": "dureyashfeen/baristabench", "kernel_id": "109497388"}, {"ref": "rhythmghai/logicparser-baristabench-bot", "kernel_id": "109182743"}, {"ref": "oscarletech/barista-bench-qwen2-5-7b-lora-dsl-lb-0-84", "kernel_id": "109567687"}, {"ref": "rauffauzanrambe/robust-text-reasoning-framework", "kernel_id": "109739089"}, {"ref": "truthminer/chain-of-thought-few-shot-retrieval", "kernel_id": "110012533"}, {"ref": "realtalhacelik/build-an-ai-agent-qwen-code", "kernel_id": "110194653"}, {"ref": "mdshakilahamedshawon/chain-of-thought-few-shot-retrieval", "kernel_id": "110724753"}, {"ref": "edvinas23/llm-few-shot-retrieval", "kernel_id": "114398145"}]}
{"competition_id": "128259", "kernels": [{"ref": "rasdafar/baseline-plane", "kernel_id": "107274573"}, {"ref": "clodis/eto-rofls", "kernel_id": "107277559"}, {"ref": "zoli800/notebook1db6b16148", "kernel_id": "107277775"}, {"ref": "nikitakuznetsof/random-forest-bread", "kernel_id": "107278524"}, {"ref": "hmnshudhmn24/classification-on-a-plane", "kernel_id": "107277176"}]}
{"competition_id": "128265", "kernels": []}
{"competition_id": "128270", "kernels": [{"ref": "hmnshudhmn24/the-wiggle-the-trap-robust-classification", "kernel_id": "107324777"}]}
{"competition_id": "128290", "kernels": [{"ref": "gpch2159/translated-train-queries", "kernel_id": "107963923"}, {"ref": "gpch2159/legal-information-retrieval-eda", "kernel_id": "107743391"}, {"ref": "act18l/baseline-from-github", "kernel_id": "107688358"}, {"ref": "lakhindarpal/llm-agentic-legal-information-retrieval", "kernel_id": "107829553"}, {"ref": "hmnshudhmn24/llm-agentic-legal-information-retrieval", "kernel_id": "107574787"}, {"ref": "ahmetmohamd/llm-agent-ir-eda-understand-the-data", "kernel_id": "108512097"}, {"ref": "gpch2159/01-direct-generation-baseline", "kernel_id": "108204635"}, {"ref": "gpch2159/02-agentic-retrieval-baseline", "kernel_id": "108205150"}, {"ref": "serariagomes/citation-graphs-and-multi-hop-legal-information", "kernel_id": "108009382"}, {"ref": "ramazanturann/hybrid-legal-retrieval-baseline", "kernel_id": "108533347"}, {"ref": "m1ck0n/eda-for-start", "kernel_id": "108332924"}, {"ref": "rahulchauhan016/llm-agentic-swiss-legal-ir", "kernel_id": "108593812"}, {"ref": "ruhul20/hybrid-multilingual-retrieval-reranking", "kernel_id": "109044480"}, {"ref": "rhythmghai/swiss-legal-hybrid-retriever", "kernel_id": "109405972"}, {"ref": "isakatsuyoshi/perfect-score-with-zero-retrieval", "kernel_id": "110209999"}, {"ref": "ranaabdulrehman145/swiss-legal-citation-retrieval-co-citation-bm25", "kernel_id": "110201306"}, {"ref": "realtalhacelik/agentic-rag-fine-tuned-minilm-2-6m-faiss", "kernel_id": "110946928"}, {"ref": "nhkhoi/notebook32d3614afa", "kernel_id": "111002907"}, {"ref": "nhkhoi/eda-to-understand-dataset", "kernel_id": "111252789"}, {"ref": "hayatokishikawa/qwen3-embedding-reranker-lb-0-065", "kernel_id": "111159774"}, {"ref": "arockianishas/llm-improved-version", "kernel_id": "111203499"}, {"ref": "arockianishas/llm-agentic", "kernel_id": "111071863"}, {"ref": "arockianishas/llm-agentic-legal-information-retrieval", "kernel_id": "111073613"}, {"ref": "kienngx/hybrid-legal-retrieval-qwen3-4b", "kernel_id": "111036419"}, {"ref": "satriopujidanutirto/llm-agentic-legal-information-retrieval", "kernel_id": "111680502"}, {"ref": "nabasaikia/llm-agent", "kernel_id": "111425198"}, {"ref": "mah20050/lexicross-english-german-swiss-law", "kernel_id": "111860105"}, {"ref": "aslk14789/swiss-legal-citation-prediction-llm-recall-vs-s", "kernel_id": "112325735"}, {"ref": "mehedihasanmoon/legal-rag", "kernel_id": "112269476"}, {"ref": "perarasu2156/copy-the-data", "kernel_id": "112468350"}, {"ref": "marylka/hybrid-retrieval-eda-v0", "kernel_id": "113020680"}, {"ref": "dasdasdada/hybrid-legal-retrieval-tfidf-cocitation", "kernel_id": "113503162"}, {"ref": "avikdas567/bm25-tf-idf-reranking-legal-information-retrieval", "kernel_id": "113960400"}, {"ref": "vunnguyen/eda-llm-agentic-legal-information-retrival", "kernel_id": "113133087"}, {"ref": "shikhachandelcollege/my-model", "kernel_id": "114218108"}, {"ref": "rezaazami/utility-swiss-legal-wheels-and-models", "kernel_id": "115879839"}, {"ref": "rezaazami/utility-swiss-legal-corpus", "kernel_id": "115881519"}, {"ref": "rezaazami/utility-with-embedding-agentic-legal-information", "kernel_id": "115393482"}, {"ref": "rezaazami/swiss-legal-data-exploration", "kernel_id": "115584161"}, {"ref": "andycooper747/bme-m3pura-2", "kernel_id": "116866724"}, {"ref": "nadiakhalid/llm-agentic-legal-information-retrieval", "kernel_id": "117105273"}, {"ref": "junaid512/legal-ir-qwen3-adaptive-k-threshold", "kernel_id": "117344160"}, {"ref": "crazyzzz7/finetuned-retrieve-for-legal", "kernel_id": "117972130"}, {"ref": "weihaohuang2004/legal-retrieval-v8d-llm-select6", "kernel_id": "117973776"}, {"ref": "aminmahmoudalifayed/lex-machina", "kernel_id": "117706335"}, {"ref": "b3bkarino/llm-agentic-legal-information-retrieval", "kernel_id": "118656428"}, {"ref": "varunraosfanlkan/llm-agent", "kernel_id": "118605548"}, {"ref": "andycooper747/basedonv6", "kernel_id": "118066177"}, {"ref": "bxcads/notebookb8f7a8846e", "kernel_id": "119797947"}, {"ref": "b3bkarino/llm-agentic-legal-information-retrieval-2", "kernel_id": "119040252"}, {"ref": "muhammaddanyalmalik/llm-agentic-legal", "kernel_id": "119771533"}, {"ref": "mojjeed/build-full-faiss-index-laws-court-decisions-pt-1", "kernel_id": "119803503"}, {"ref": "kleniopadilha/winnex-hmc-legal-ir-submission", "kernel_id": "119378195"}, {"ref": "croftadams/visual-unicode-legal-ir-v1", "kernel_id": "119803821"}, {"ref": "iamsharadh7/notebook-1", "kernel_id": "119561142"}, {"ref": "kmmmvs/lalir-v28-cooc-query-expansion-lb-0-18654", "kernel_id": "120408891"}, {"ref": "ladyfaye/swiss-legal-ir-self-deferring-llm-as-judge", "kernel_id": "120453529"}, {"ref": "muhammaddanyalmalik/gemma-sbert-llama-retrieval-of-swiss", "kernel_id": "120384442"}, {"ref": "animetopstory/reverse-v43-retrieval-s268", "kernel_id": "120377009"}, {"ref": "jaclyndeem/llm-v321-v262-reranker-cite6", "kernel_id": "120343162"}, {"ref": "jaclyndeem/llm-v312-v262-auto-abs-fill", "kernel_id": "120329055"}, {"ref": "jaclyndeem/llm-v315-v262-minilm-cpu", "kernel_id": "120331849"}, {"ref": "jaclyndeem/llm-v317-v262-reranker-swap", "kernel_id": "120334549"}, {"ref": "jaclyndeem/llm-diag", "kernel_id": "120330908"}, {"ref": "jaclyndeem/llm-validator-v262-val-f1", "kernel_id": "120277380"}, {"ref": "johnytarbouch/bettercallagent-legal-rag-qwen3-fast-top20-johny", "kernel_id": "121136641"}, {"ref": "johnytarbouch/bettercallagent-legal-rag-qwen3-fast-johny", "kernel_id": "121011478"}, {"ref": "jaclyndeem/llm-v320-v262-cite7-drop", "kernel_id": "121193081"}, {"ref": "dharundp/swiss-legal-citation-0185", "kernel_id": "123245168"}, {"ref": "dharundp/swiss-legal-citation-0295", "kernel_id": "123242094"}, {"ref": "wbfranci/swiss-fixed-config-clean311-proof-33028", "kernel_id": "124833123"}, {"ref": "wbfranci/swiss-fixed-config-clean313-proof-33028", "kernel_id": "124762567"}, {"ref": "mahgolnaeh/02-sira-validation-and-model-selection", "kernel_id": "128496761"}, {"ref": "mahgolnaeh/01-baseline-test-submission", "kernel_id": "128478653"}, {"ref": "mahgolnaeh/03-sira-test-submission-cache-only", "kernel_id": "128477416"}, {"ref": "mahgolnaeh/court-aware-validation-and-model-selection-f1", "kernel_id": "128724335"}, {"ref": "mahgolnaeh/court-aware-hidden-test-submission-notebook", "kernel_id": "129031761"}]}
{"competition_id": "128327", "kernels": []}
{"competition_id": "128335", "kernels": []}
{"competition_id": "128336", "kernels": []}
{"competition_id": "128376", "kernels": [{"ref": "priyangshumukherjee/ml-hackathon", "kernel_id": "107540838"}, {"ref": "hmnshudhmn24/ml-hackathon-score-258699885600-05801", "kernel_id": "107529223"}, {"ref": "jasooka/notebook9bfbd88ef1", "kernel_id": "107497617"}]}
{"competition_id": "128437", "kernels": []}
{"competition_id": "128438", "kernels": [{"ref": "hmnshudhmn24/drawn-apart-aicc-round-3", "kernel_id": "108292107"}]}
{"competition_id": "128456", "kernels": [{"ref": "sangampaudel530/morty-s-time-paradox-aicc-round-3-with-eda", "kernel_id": "108324623"}, {"ref": "antoningorokva/baseline-morty-s-time-paradox-aicc-round-3", "kernel_id": "108179584"}, {"ref": "antoningorokva/ref-solution-morty-s-time-paradox-aicc-round-3", "kernel_id": "108181818"}, {"ref": "payaldhokane/morty-s-time-paradox-aicc-round-3-baseline", "kernel_id": "108337152"}, {"ref": "payaldhokane/morty-s-time-paradox-aicc-round-3-solution", "kernel_id": "108337466"}, {"ref": "hmnshudhmn24/morty-s-time-paradox-aicc-round-3", "kernel_id": "108296846"}]}
{"competition_id": "128567", "kernels": [{"ref": "dster/rocket-league-goal-predictor-2025-model", "kernel_id": "109061047"}]}
{"competition_id": "128593", "kernels": [{"ref": "alanamonks/chemical-feature-extraction-lgb-baseline", "kernel_id": "108188901"}, {"ref": "hmnshudhmn24/ml-driven-qsar-modeling-for-bioactivity-prediction", "kernel_id": "108160960"}]}
{"competition_id": "128604", "kernels": []}
{"competition_id": "128649", "kernels": [{"ref": "hmnshudhmn24/df26-learning-progress-prediction", "kernel_id": "107649456"}]}
{"competition_id": "128666", "kernels": [{"ref": "hmnshudhmn24/weather-forecast-challenge", "kernel_id": "108938216"}]}
{"competition_id": "128684", "kernels": [{"ref": "nopoleflairan/notebook0eaa4af177", "kernel_id": "107995162"}, {"ref": "hmnshudhmn24/bank-customer-churn-ict-u-ai", "kernel_id": "107736500"}]}
{"competition_id": "128741", "kernels": [{"ref": "sword4949/borekat-fast-lr-catboost-optuna", "kernel_id": "107749704"}, {"ref": "husnashamlik/borekat-rainfall-binary-prediction-score-0-89", "kernel_id": "107761914"}, {"ref": "antonoof/top1-tabpfn-rainfall-binary-prediction", "kernel_id": "107778601"}, {"ref": "nikitakuznetsof/borekat-catboost-baseline", "kernel_id": "107751331"}, {"ref": "hmnshudhmn24/borekat-xgboost-baseline", "kernel_id": "107741304"}]}
{"competition_id": "128756", "kernels": []}
{"competition_id": "128776", "kernels": [{"ref": "aryanawasthiteykik/thapar-ucs654-2026-hack-04-base-lightgbm", "kernel_id": "107827276"}, {"ref": "nina2025/thapar-ucs654-2026-hack-04-fe-xgb-lgbm-cat", "kernel_id": "107919992"}, {"ref": "nina2025/thapar-ucs654-2026-hack-04-xgb-lgbm-cat", "kernel_id": "107901513"}, {"ref": "nina2025/thapar-ucs654-2026-hack-04-h-blend", "kernel_id": "107931177"}, {"ref": "hmnshudhmn24/thapar-ucs654-2026-hack-04", "kernel_id": "107837240"}, {"ref": "lakhindarpal/thapar-ucs654-2026-hack-04-tabm-hpo-regressor", "kernel_id": "108079340"}, {"ref": "lakhindarpal/thapar-ucs654-2026-hack-04-realmlp-hpo-regressor", "kernel_id": "108062465"}, {"ref": "abhishekg160/thapar-04-hack", "kernel_id": "108077978"}, {"ref": "mukulghai/thapar-ucs-654-2026-hack-04", "kernel_id": "108031943"}, {"ref": "nina2025/thapar-ucs654-xgb-lgbm-cat-hb", "kernel_id": "108072249"}, {"ref": "nina2025/thapar-ucs654-h-blend", "kernel_id": "108075431"}, {"ref": "nina2025/thapar-ensemble-of-solutions", "kernel_id": "108095126"}, {"ref": "nina2025/thapar-ucs654-xgb-lgbm-cat-fe", "kernel_id": "108069356"}, {"ref": "ehsanzx/ucs654-2026-good-baseline-lgb-xgb-cat", "kernel_id": "108216222"}, {"ref": "sehaj1104/catboost-lgbm-ensemble", "kernel_id": "108213448"}, {"ref": "jindal25heh/notebook6dbc3cc404", "kernel_id": "108345997"}, {"ref": "jindal25heh/notebookb920ad9ed9", "kernel_id": "108347588"}, {"ref": "jindal25heh/notebook3c91885754", "kernel_id": "108347117"}, {"ref": "jindal25heh/notebookd20d21f389", "kernel_id": "108346493"}]}
{"competition_id": "128783", "kernels": [{"ref": "nikolatesla13/baseline-sound-of-nature-aicc-round-3", "kernel_id": "108266438"}, {"ref": "nawfeelrahman1124444/audioaicc", "kernel_id": "108295036"}, {"ref": "payaldhokane/sound-of-nature-aicc-round-3-efficientnetb0", "kernel_id": "108336315"}, {"ref": "payaldhokane/sound-of-nature-aicc-round-3", "kernel_id": "108334895"}, {"ref": "tamerlanomralinov/sound-of-nature-cnn-lstm", "kernel_id": "108389267"}, {"ref": "hmnshudhmn24/sound-of-nature-aicc-round-3", "kernel_id": "108294711"}, {"ref": "orionaraf/aicc-round-3-sound-of-nature", "kernel_id": "112454610"}, {"ref": "shokhjahonisroilov/baseline-sound-of-nature-aicc-round-3", "kernel_id": "117692205"}]}
{"competition_id": "128786", "kernels": []}
{"competition_id": "128789", "kernels": [{"ref": "hmnshudhmn24/usn-inf2010-2026-oving2-1", "kernel_id": "107897659"}]}
{"competition_id": "128790", "kernels": [{"ref": "hmnshudhmn24/usn-inf2010-2026-oving2-2", "kernel_id": "107898580"}]}
{"competition_id": "128791", "kernels": [{"ref": "hmnshudhmn24/usn-inf2010-2026-oving2-3", "kernel_id": "107898686"}]}
{"competition_id": "128792", "kernels": [{"ref": "hmnshudhmn24/vista-codefest-26-iit-bhu-varanasi", "kernel_id": "107955273"}, {"ref": "ananyatembhurne/vista-computervision", "kernel_id": "108329679"}, {"ref": "anishkumarverma/convnext-inference-single-object", "kernel_id": "108589277"}, {"ref": "anishkumarverma/sam3-with-convnext-over-culttered-images", "kernel_id": "108468258"}, {"ref": "lakshyakumar1508/team-synaptrix", "kernel_id": "108261248"}, {"ref": "tanyagarg1006/notebook87fb5c13db", "kernel_id": "108404822"}, {"ref": "raghavchawdhry03/cel-dehack", "kernel_id": "108905722"}, {"ref": "smritipandey02/vista-26", "kernel_id": "108225938"}, {"ref": "yashshinde0080/vista-codefest-26-iit-bhu-varanasi", "kernel_id": "108046844"}, {"ref": "lakshyakohli23/vistas-lk", "kernel_id": "108167941"}, {"ref": "lakshyakohli23/vistas-lk22dbdb9242f", "kernel_id": "108317732"}, {"ref": "divyascse/vista-2", "kernel_id": "108052547"}, {"ref": "likhith623/notebook464b8e359c", "kernel_id": "108388952"}, {"ref": "likhith623/notebook5bc0f03e5e", "kernel_id": "108416032"}, {"ref": "likhith623/notebook7e954235e0", "kernel_id": "108238738"}, {"ref": "aaronabevarghese/notebook098c77cbb1", "kernel_id": "108409173"}, {"ref": "nabasaikia/retailobjectdetection", "kernel_id": "110322452"}]}
{"competition_id": "128816", "kernels": [{"ref": "hmnshudhmn24/faii-2026-i-object-localization", "kernel_id": "107966025"}, {"ref": "danipipe777/faii-2026-i-object-localization", "kernel_id": "110120067"}, {"ref": "danipipe777/faii-2026-i-object-localizationv2", "kernel_id": "110852916"}]}
{"competition_id": "128843", "kernels": [{"ref": "nadaarfaoui/customer-churn-prediction", "kernel_id": "108465012"}, {"ref": "wangleboro/churn-prediction-gbdt", "kernel_id": "108167663"}, {"ref": "payaldhokane/binary-battle-ml-bank-customer-churn-challenge", "kernel_id": "108252799"}, {"ref": "hmnshudhmn24/binary-battle-ml-bank-customer-churn-challenge", "kernel_id": "108057117"}, {"ref": "mytalkwithyou/ml-binary-classification-bank-customer-churn-ownn", "kernel_id": "108545137"}, {"ref": "zsy1023002160/notebook48ff4b612f", "kernel_id": "124765311"}]}
{"competition_id": "129044", "kernels": [{"ref": "shokhjahonisroilov/radar-best-score-0-98340", "kernel_id": "108095069"}, {"ref": "hnbk54/radar-official-solution", "kernel_id": "108222318"}, {"ref": "hnbk54/radar-baseline", "kernel_id": "108172095"}, {"ref": "tamerlanomralinov/copy-n-upgrade-radar", "kernel_id": "108169998"}, {"ref": "hmnshudhmn24/radar-ioai-2025-task-1", "kernel_id": "108157626"}, {"ref": "nikolasgegenava/radar-0-9617", "kernel_id": "110869504"}, {"ref": "khadkaa07877/ioai-radar-solution-lb-0-973", "kernel_id": "110750638"}, {"ref": "dmitryshilovsky/radar-ioai-2025-0-97227", "kernel_id": "114669844"}, {"ref": "aithbb/0-98-unet-best-epoch-weighted-crossentropyloss", "kernel_id": "118524966"}, {"ref": "nishansarker/ioai-2025-radar-0-96671", "kernel_id": "120047608"}, {"ref": "mdabdulalhasib/simple-model-gets-nice-score-score-0-97", "kernel_id": "120083840"}, {"ref": "orionaraf/ioai-radar", "kernel_id": "124525935"}, {"ref": "minihenry/radio", "kernel_id": "128303979"}]}
{"competition_id": "129108", "kernels": [{"ref": "hmnshudhmn24/the-decision-tree-dilemma-tune-or-clean-submit", "kernel_id": "108162408"}]}
{"competition_id": "129135", "kernels": [{"ref": "hmnshudhmn24/faic-kaggle-competitions", "kernel_id": "108205612"}, {"ref": "asdhjasdjhka/vinfast-detector-v3-1", "kernel_id": "110979555"}, {"ref": "nvfus12/rt-detr", "kernel_id": "110759866"}]}
{"competition_id": "129180", "kernels": [{"ref": "hrishikeshyadav/dengue-fever-eda-and-modelling", "kernel_id": "108361606"}, {"ref": "decentralized/starter-notebook-ioit-acm-bit-by-ml-vol-1", "kernel_id": "108182519"}, {"ref": "hmnshudhmn24/ioit-acm-bit-by-ml-vol-1", "kernel_id": "108206109"}]}
{"competition_id": "129259", "kernels": []}
{"competition_id": "129260", "kernels": []}
{"competition_id": "129261", "kernels": []}
{"competition_id": "129270", "kernels": [{"ref": "prabhpreetsingh5/starter-notebook-dinov2", "kernel_id": "109978693"}, {"ref": "prabhpreetsingh5/starter-notebook-dinov2-vit-l-14", "kernel_id": "109966273"}]}
{"competition_id": "129271", "kernels": [{"ref": "amimulehsan1/bengali-long-form-asr-starter-tugstugi", "kernel_id": "108475408"}, {"ref": "amimulehsan1/bangla-diarization-neural-vad-embedding-clustering", "kernel_id": "108328360"}, {"ref": "mdrashedulislam023/wavlm-ecapa-diarization", "kernel_id": "108375633"}, {"ref": "hmnshudhmn24/dl-sprint-4-0-bengali-speaker-diarization", "kernel_id": "108338738"}, {"ref": "sanjanahassan/bengali-speaker-diarization", "kernel_id": "108697307"}, {"ref": "shahidulislamkhan/bengali-speaker-deepwhaaat", "kernel_id": "108471218"}, {"ref": "abdhrubo/pyannote", "kernel_id": "109476837"}, {"ref": "shitichowdhury/bangla-diarization", "kernel_id": "109166824"}, {"ref": "arpitamallik23/823-olt-diarization-final-inference-notebook", "kernel_id": "109807892"}, {"ref": "ainaymul/blackhawk-down-training-ecapabengalifinetuned", "kernel_id": "109021557"}, {"ref": "fateennr/run-1", "kernel_id": "109129200"}, {"ref": "mdzubayerkayes/starter-nb-neural-vad-embedding-clustering-c84baa", "kernel_id": "109015116"}, {"ref": "rafidsiddique/neural-vad", "kernel_id": "109954195"}, {"ref": "sanjanahassan/bengali-speaker-diarization-optimized", "kernel_id": "109136517"}, {"ref": "sanjanahassan/bengali-speaker-diarization-pyannote-trainingnb", "kernel_id": "109384487"}, {"ref": "arafatrahman2026/blackhawk-down-inference-pyannotefinetunedbengali", "kernel_id": "109636270"}, {"ref": "arpitamallik23/823-olt-diarization-training-notebook", "kernel_id": "110143449"}, {"ref": "ainaymul/blackhawk-down-inference-pyannotebengaliseg", "kernel_id": "110939323"}, {"ref": "sazzadadib/bitwisemind-inference-finetunedpyannote", "kernel_id": "110253574"}, {"ref": "nooblearner31/best-community-1", "kernel_id": "110236430"}, {"ref": "ashfaqulhasan/problem2submissioninference", "kernel_id": "110223654"}, {"ref": "ashfaqulhasan/leaderboard1finetune-1", "kernel_id": "110254129"}, {"ref": "zarifmahir/labyrinth-inference-finetunedpyannote", "kernel_id": "110245804"}, {"ref": "zarifmahir/labyrinth-training-normaltraining1", "kernel_id": "110254396"}, {"ref": "zarifmahir/labyrinth-training-demucs2", "kernel_id": "110254464"}, {"ref": "shafnanwasif/labyrinth-training-demucs-augmentation", "kernel_id": "110251171"}, {"ref": "sazzadhossainsazzad/inference-finetunedpyannote-with-output", "kernel_id": "111075486"}, {"ref": "ahmfuad/villagers-inference-diarizationfinetuned-final", "kernel_id": "118290196"}]}
{"competition_id": "129276", "kernels": [{"ref": "mdsaminulamin/notebook235eb8395e", "kernel_id": "108746089"}, {"ref": "amimulehsan1/bengali-long-form-asr-starter-tugstugi", "kernel_id": "108475408"}, {"ref": "hameemh/long-form-speech", "kernel_id": "108404867"}, {"ref": "mdmuqtadirfuad/asrl-burnedinc", "kernel_id": "108269283"}, {"ref": "adilshamim8/bengali-long-form-speech-recognition-101", "kernel_id": "108681600"}, {"ref": "smsadikuzzamanabir/notebook-inference", "kernel_id": "108989674"}, {"ref": "mdsaminulamin01/notebook9fbf5a21cf", "kernel_id": "108683634"}, {"ref": "tanmoymridha/buet-dl-asr-tugsugi", "kernel_id": "109197567"}, {"ref": "mdmuqtadirfuad/prep-notebook-mozilla", "kernel_id": "109085180"}, {"ref": "mdmuqtadirfuad/asr-simple", "kernel_id": "109049711"}, {"ref": "tajshuvo/whisper-medium-tugstugi-faster", "kernel_id": "109234738"}, {"ref": "ahmedifrad/bengali-long-form-asr-starter-tugstugi", "kernel_id": "109360543"}, {"ref": "tahidulkabir/dl-sprint-4-0-tasin-02", "kernel_id": "109869153"}, {"ref": "niloyn337/dl-sprint-4-0-bangla-asr-quality-first-robust", "kernel_id": "109563580"}, {"ref": "abdhrubo/bengali-long-form-asr-starter-tugstugi", "kernel_id": "110115813"}, {"ref": "ratnajitdhar08/823-olt-asr-final-inference-notebook", "kernel_id": "110223467"}, {"ref": "sazzadadib/bitwisemind-inference-finetunedwhispermedium", "kernel_id": "110252756"}, {"ref": "mesbahuddinahamed/marakheyegeci-inference-trainedtugstugi", "kernel_id": "110258867"}, {"ref": "ahmfuad01/villagers-inference-fasterwhisperlrs40", "kernel_id": "110250840"}, {"ref": "rafidsiddique/bengali-asr-improved", "kernel_id": "110199052"}, {"ref": "tanjinulislam/fotr-inference-longform-newvad", "kernel_id": "110140474"}, {"ref": "ashfaqulhasan/testbook-2", "kernel_id": "110246019"}, {"ref": "zarifmahir/labyrinth-inference-finetunedwhispermedium", "kernel_id": "110115413"}, {"ref": "tahidulkabir/dl-sprint-4-0-tasin-03", "kernel_id": "110012021"}, {"ref": "sourabbhattacharjee/ml-forge-submission", "kernel_id": "110055712"}, {"ref": "sazzadhossainsazzad/inference-final-version", "kernel_id": "110225706"}, {"ref": "babykamal/whisper-medium-tugstugi-faster", "kernel_id": "112122527"}, {"ref": "cruelangelssprint/hackfleet-lfsr-inference-whisper-enc-finetuned", "kernel_id": "114407798"}, {"ref": "ahmfuad/villagers-inference-fasterwhisperlrs40-final", "kernel_id": "118290623"}, {"ref": "roy210005/bengali-long-form-speech-recognition-f100e9", "kernel_id": "120899173"}, {"ref": "saniyafatima07/25261da912", "kernel_id": "124650937"}, {"ref": "sarfaraz909/asr-case-study-25261da909", "kernel_id": "125154947"}, {"ref": "sojibcroy/notebook83373993aa", "kernel_id": "127853260"}, {"ref": "sojibcroy/notebook50466ea9fb", "kernel_id": "127854235"}, {"ref": "sojibcroy/notebookb3f2f4e34a", "kernel_id": "127852654"}, {"ref": "sojibcroy/notebooka8cd13e59f", "kernel_id": "127840839"}]}
{"competition_id": "129278", "kernels": [{"ref": "tojoh15/ml-in-e-f-2026-assignment-01", "kernel_id": "108248475"}, {"ref": "hmnshudhmn24/ml-ef-2026-dt", "kernel_id": "109591755"}]}
{"competition_id": "129284", "kernels": []}
{"competition_id": "129462", "kernels": []}
{"competition_id": "129474", "kernels": [{"ref": "hmnshudhmn24/gdgoc-telkom-university-2026-mask-classification", "kernel_id": "108452457"}, {"ref": "berkbayram6/maskclassification", "kernel_id": "110238663"}]}
{"competition_id": "129480", "kernels": [{"ref": "bnzn261029/thrombus-ultrasound-image-analysis-and-thrombosis", "kernel_id": "117620179"}]}
{"competition_id": "129485", "kernels": [{"ref": "bnzn261029/thrombus-ultrasound-dataset-analysis-and-modeling", "kernel_id": "117618394"}, {"ref": "bnzn261029/thrombus-ultrasound-image-classification", "kernel_id": "117656824"}]}
{"competition_id": "129543", "kernels": [{"ref": "welshonionman/jaguar-re-identification-challenge-baseline", "kernel_id": "108576713"}, {"ref": "lightningv08/jaguar-challenge-2-0-886-simple-solution", "kernel_id": "108791787"}, {"ref": "hmnshudhmn24/round-2-jaguar-re-identification-challenge", "kernel_id": "108431223"}, {"ref": "shazy021/jaguar-re-id-rnd-2-eda-clean-val-split", "kernel_id": "109421314"}, {"ref": "deviprasad09/jaguar-reid-metric-learning", "kernel_id": "109122083"}, {"ref": "andandand/jaguar-re-identification-baseline-with-miewid-v3", "kernel_id": "111570025"}, {"ref": "andandand/simple-data-exploration-round-2-images", "kernel_id": "111780770"}, {"ref": "mishankjain/jaguar-reid-exp05-hyperparam-sweep", "kernel_id": "111197642"}, {"ref": "mishankjain/jaguar-reid-exp04-reranking", "kernel_id": "111187906"}, {"ref": "jonaskubeler/tripletloss-adagrad-round2", "kernel_id": "112214300"}, {"ref": "ozanbozyel/jaguar-re-id-submission", "kernel_id": "113730574"}, {"ref": "ozanbozyel/jaguar-re-id-eva-02-training", "kernel_id": "113675288"}]}
{"competition_id": "129545", "kernels": []}
{"competition_id": "129565", "kernels": []}
{"competition_id": "129574", "kernels": []}
{"competition_id": "129577", "kernels": [{"ref": "sword4949/simple-baseline-randomforest", "kernel_id": "108405493"}, {"ref": "sword4949/eda-exploring-fim-discharge-data", "kernel_id": "108405634"}, {"ref": "sword4949/feature-engineering-for-discharge-prediction", "kernel_id": "108405822"}, {"ref": "sword4949/baseline-lightgbm", "kernel_id": "108405897"}, {"ref": "sword4949/advanced-hyperparameter-tuning-with-optuna", "kernel_id": "108405947"}, {"ref": "hmnshudhmn24/predict-discharge-destinations-from-fim", "kernel_id": "108432026"}]}
{"competition_id": "129596", "kernels": [{"ref": "hmnshudhmn24/enigma-codefest-26-iit-bhu-varanasi", "kernel_id": "108493046"}, {"ref": "likhith623/notebook1f96ef02ee", "kernel_id": "108504633"}]}
{"competition_id": "129599", "kernels": []}
{"competition_id": "129601", "kernels": [{"ref": "mohamdhussein/brain-tumor-segmentation", "kernel_id": "108443968"}, {"ref": "saifhany259/visualization-ai-hackathon", "kernel_id": "108630234"}, {"ref": "hmnshudhmn24/instant-odc-ai-hackathon", "kernel_id": "108530019"}, {"ref": "nmuwork/v2-brain", "kernel_id": "108559123"}, {"ref": "danieleduardoruiz/permutation", "kernel_id": "134911313"}]}
{"competition_id": "129615", "kernels": [{"ref": "hmnshudhmn24/2st-multimodal-italian-sign-language-recognition-c", "kernel_id": "108495904"}, {"ref": "namhoangtrinh/mislr-competition-ver2", "kernel_id": "111363634"}]}
{"competition_id": "129617", "kernels": [{"ref": "troytian/mini-ml-2026-starter-notebook", "kernel_id": "110947052"}, {"ref": "ncresp0/mini-ml-2026-starter-notebook", "kernel_id": "110946716"}, {"ref": "anirudhk05/notebook78f9ce78f1", "kernel_id": "110947287"}, {"ref": "xinyunwan/mini-ml-2026-starter-notebook", "kernel_id": "110947742"}, {"ref": "summerdixon/mini-ml-2026-starter-notebook", "kernel_id": "110944164"}, {"ref": "michellebai1/mini-ml-2026-starter-notebook", "kernel_id": "110946654"}, {"ref": "vedvyasdasika/the-architects-ml-notebook", "kernel_id": "110946810"}, {"ref": "jonathanpak22/mini-ml-2026-starter-notebook", "kernel_id": "110947313"}, {"ref": "fifi201/skibidi-starteer", "kernel_id": "110946787"}, {"ref": "yinruigan/mini-ml-2026-starter-notebook", "kernel_id": "110946981"}, {"ref": "matthanlu/mini-ml-2026-starter-notebook", "kernel_id": "110947349"}, {"ref": "chatwinhouc/mini-ml-2026-starter-notebook-4936d2", "kernel_id": "110946728"}, {"ref": "saamiyahali/mini-ml-2026-starter-notebook", "kernel_id": "110946997"}, {"ref": "alexsong64/mini-ml-2026-starter-notebook", "kernel_id": "110947413"}]}
{"competition_id": "129618", "kernels": [{"ref": "hmnshudhmn24/dc-motor-feedforward-regression", "kernel_id": "108528564"}]}
{"competition_id": "129621", "kernels": []}
{"competition_id": "129622", "kernels": []}
{"competition_id": "129628", "kernels": [{"ref": "aithbb/0-18-solution-simple-feature-engeenering-catboo", "kernel_id": "108682968"}, {"ref": "hmnshudhmn24/cyprus-ai-camp-cyprus-cars-price-oracle", "kernel_id": "108681576"}, {"ref": "cyprusaitraining/ccpo-baseline", "kernel_id": "108636002"}]}
{"competition_id": "129649", "kernels": [{"ref": "hmnshudhmn24/dygsbench-dynamic-3dgs-compression", "kernel_id": "108767541"}, {"ref": "leexiang0/imgsubmission", "kernel_id": "110736979"}, {"ref": "leexiang0/zipsubmission", "kernel_id": "111045991"}]}
{"competition_id": "129655", "kernels": []}
{"competition_id": "129666", "kernels": [{"ref": "emanafi/predicting-road-accident-risk", "kernel_id": "106987494"}, {"ref": "osmanozcanli/predicting-road-accident-risk", "kernel_id": "110324475"}, {"ref": "hashimotokeita/predicting-road-accident-risk-hashimoto-keita", "kernel_id": "125777559"}, {"ref": "tkawano0202/predicting-road-accident-risk-kawano-tomoya", "kernel_id": "125787579"}, {"ref": "hymmc10/notebook229d3370b2", "kernel_id": "128449264"}]}
{"competition_id": "129726", "kernels": []}
{"competition_id": "129746", "kernels": [{"ref": "wangapa106g/competition-challenge-notebook", "kernel_id": "108592138"}, {"ref": "hmnshudhmn24/kirinyaga-university-csk-community", "kernel_id": "108607191"}]}
{"competition_id": "129750", "kernels": [{"ref": "mohammad2012191/dal-shemagh-challenge-yolo-notebook", "kernel_id": "108597217"}, {"ref": "thelastsmilodon/rf-detr", "kernel_id": "108688465"}, {"ref": "thelastsmilodon/yolo-ens-private-lb-0-861-public-lb-0-906", "kernel_id": "108797754"}, {"ref": "lightningv08/dal-shemagh-challenge-yolo-training", "kernel_id": "108862336"}, {"ref": "hmnshudhmn24/dal-shemagh-object-detection-challenge", "kernel_id": "108605756"}, {"ref": "asalhi/dal-shemagh-weighted-boxes-fusion-ensemble", "kernel_id": "109513066"}, {"ref": "lightningv08/dal-shemagh-challenge-pretrained-yolo11n", "kernel_id": "109220047"}, {"ref": "lightningv08/dal-shemagh-challenge-blending-yolo11n-yolo26n", "kernel_id": "109463646"}, {"ref": "amjedalqasemi/yolo-and-rtdetr-ensemble", "kernel_id": "109079632"}, {"ref": "fadelhassan/rf-detr-solution-public-89-6-private-85-0", "kernel_id": "109790649"}, {"ref": "maryammubarak/dal-shemagh-challenge-yolo-notebook", "kernel_id": "109040797"}, {"ref": "hassanalgamdi/submission-notebook-3rd-place", "kernel_id": "109725485"}, {"ref": "ddsdsfdsfsfa/3-class-yolo", "kernel_id": "109638730"}, {"ref": "najlaajaashan/dal-shemagh-challenge-pretrained-yolo11n", "kernel_id": "109622356"}, {"ref": "najlaajaashan/dal-shemagh-weighted-boxes-fusion-ensemble", "kernel_id": "109622446"}, {"ref": "nuhaahmed2030/dal-shemagh-object-detection-yolov8m", "kernel_id": "110367682"}, {"ref": "sanchitagangopadhyay/yolo-notebook-for-object-detectiond", "kernel_id": "111464204"}]}
{"competition_id": "129753", "kernels": []}
{"competition_id": "129769", "kernels": [{"ref": "hmnshudhmn24/practice-your-ml-and-eda-skills", "kernel_id": "108655454"}, {"ref": "khadisx/practice-your-ml-and-eda-skills", "kernel_id": "109612303"}]}
{"competition_id": "129826", "kernels": [{"ref": "hmnshudhmn24/cyprus-ai-camp-multimodal-skin-classification", "kernel_id": "108681987"}, {"ref": "cyprusaitraining/baseline-code", "kernel_id": "108659358"}, {"ref": "rahmafathyedress/multimodal-skin-lesion-classification", "kernel_id": "110849105"}, {"ref": "nayerasherifelaraby/skin-classification-ml", "kernel_id": "112483497"}, {"ref": "shahdaymanrizk/skin-classification", "kernel_id": "116804425"}, {"ref": "nayerasherifelaraby/skin-classification-processing", "kernel_id": "116845197"}, {"ref": "rahmafathyedress/multimodal-skin-class", "kernel_id": "118312326"}, {"ref": "shahdaymanrizk/multimodal-skin-class", "kernel_id": "118172655"}]}
{"competition_id": "129849", "kernels": [{"ref": "hmnshudhmn24/neural-estate-2026", "kernel_id": "108655717"}]}
{"competition_id": "129856", "kernels": []}
{"competition_id": "129857", "kernels": []}
{"competition_id": "129859", "kernels": [{"ref": "hmnshudhmn24/video-action-multi-class-classifier", "kernel_id": "109117590"}]}
{"competition_id": "129860", "kernels": [{"ref": "hmnshudhmn24/binary-classifier-for-juggling-balls", "kernel_id": "109114616"}]}
{"competition_id": "129863", "kernels": []}
{"competition_id": "129869", "kernels": [{"ref": "hmnshudhmn24/humidity-prediction-given-weather-data", "kernel_id": "108682734"}]}
{"competition_id": "129871", "kernels": [{"ref": "thomasgorges/circleid-writer-baseline", "kernel_id": "108682268"}, {"ref": "stpeteishii/icdar-writer-identification-mobilenet", "kernel_id": "111236225"}, {"ref": "zaouiyassine/writer-id-attempt", "kernel_id": "111665527"}, {"ref": "kalyankkr/efficientnet-threshold-calibration-baseline", "kernel_id": "112062792"}, {"ref": "lakhindarpal/icdar-2026-circleid-writer-identification", "kernel_id": "112240510"}, {"ref": "mpwolke/icdar2026-keras-efficientnetb3-attempt", "kernel_id": "113315673"}, {"ref": "sweetyheehee/timmy-s-icdar-solution", "kernel_id": "114823450"}]}
{"competition_id": "129872", "kernels": [{"ref": "thomasgorges/circleid-pen-baseline", "kernel_id": "108683184"}, {"ref": "stpeteishii/icdar-pen-classification-mobilenet", "kernel_id": "111106394"}, {"ref": "yashpalthakor/edge-guided-pen-classification-in-pytorch", "kernel_id": "111056139"}, {"ref": "sneharangole/circleid-icdar-2026-pen-classification", "kernel_id": "111669657"}, {"ref": "zzzzgod/icdar-baseline", "kernel_id": "111335973"}, {"ref": "poco34/pen-id-score-0-89", "kernel_id": "111402025"}, {"ref": "theallkeeeymist/icdar-pen-classification", "kernel_id": "111560592"}, {"ref": "zaouiyassine/dinov3base-pl-lora-for-circleid-pen-classif", "kernel_id": "111277783"}, {"ref": "lele25811/icdar-2026-circleid-pen-classification", "kernel_id": "111777376"}, {"ref": "goktani/icdar-2026-pen-classification-efficientnet-b0", "kernel_id": "111973725"}, {"ref": "nguynkhnhti/icdar26-pen-classification", "kernel_id": "111575452"}, {"ref": "sigmaborov/circleid-2026-resnet18-pen-classification", "kernel_id": "111047834"}, {"ref": "kritagya263/notebookbb20063a1f", "kernel_id": "112845526"}, {"ref": "gurmann/icdar-2026-resnet50", "kernel_id": "112450934"}, {"ref": "lakhindarpal/icdar-2026-circleid-pen-classification", "kernel_id": "112105388"}, {"ref": "saurabhrajvarma/icdar2026-circleid-pen-0-92697", "kernel_id": "112025907"}, {"ref": "rhythmghai/circleid-pen-classification-convnext", "kernel_id": "112199979"}, {"ref": "lihaohao111/cook-pre-train", "kernel_id": "112648001"}, {"ref": "cbdsigmas/icdar-resnext-convnext", "kernel_id": "112800182"}, {"ref": "marcomars/pennn", "kernel_id": "112475621"}, {"ref": "jrrbom/multi-thread-v", "kernel_id": "112617560"}, {"ref": "ektarr/ensemble-cnns-icdar-2026", "kernel_id": "112109310"}, {"ref": "randomplayer606/convnextxlarge-pen-cassifier-in-keras", "kernel_id": "113324643"}, {"ref": "doannguyentranhoan/ensemble-cnns-icdar-2026", "kernel_id": "113258519"}, {"ref": "kiraidk/circleid-pen-classification-effnet-eda", "kernel_id": "113595370"}, {"ref": "nina2025/icdar-ensemble-of-solutions", "kernel_id": "113404535"}, {"ref": "huynhtaybui/pen-ver2", "kernel_id": "113417798"}, {"ref": "opencv411/ensemble-and-finetune", "kernel_id": "113483658"}, {"ref": "mohamedmerghany/circleid-pen-classification-efficientnet-bo", "kernel_id": "113863199"}, {"ref": "angelaneena/circleid-pen-baseline", "kernel_id": "113456021"}, {"ref": "adityachourasia09/icdar-2", "kernel_id": "113606522"}, {"ref": "linashpileva/resnet-solution", "kernel_id": "114240819"}, {"ref": "amnariaz22/icdar-ensemble-of-solutions", "kernel_id": "114418343"}, {"ref": "udaysrivastava/circleid-pen", "kernel_id": "114446442"}]}
{"competition_id": "129878", "kernels": []}
{"competition_id": "129885", "kernels": []}
{"competition_id": "129886", "kernels": [{"ref": "zorornoa/grandprix", "kernel_id": "109993513"}, {"ref": "hmnshudhmn24/ai-grand-prix-task-1", "kernel_id": "109239880"}]}
{"competition_id": "129910", "kernels": []}
{"competition_id": "129990", "kernels": []}
{"competition_id": "129994", "kernels": [{"ref": "hmnshudhmn24/wur-ml-mgi-regression-2026", "kernel_id": "110843551"}]}
{"competition_id": "129996", "kernels": [{"ref": "hmnshudhmn24/wur-ml-mgi-classification-2026", "kernel_id": "110844396"}]}
{"competition_id": "130010", "kernels": [{"ref": "muhammaddanyalmalik/hate-speech-lgbm-ensemble", "kernel_id": "109668977"}, {"ref": "sigmaborov/hate-speech-detection-textcnn-baseline", "kernel_id": "109864826"}]}
{"competition_id": "130039", "kernels": []}
{"competition_id": "130062", "kernels": [{"ref": "alanamonks/lgb-baseline-with-temporal-features", "kernel_id": "108864265"}, {"ref": "alanamonks/temporal-feats-inflation-index-log-transform-lgb", "kernel_id": "108934718"}, {"ref": "hmnshudhmn24/bidding-predictions-for-construction", "kernel_id": "108882368"}, {"ref": "ehrenstein/bidding-prediction-eda", "kernel_id": "109968239"}, {"ref": "khaledshaheen/bidding-predictions-for-construction", "kernel_id": "109558858"}, {"ref": "lightningv08/inflation-idx-log-transform-realmlp-td", "kernel_id": "109074393"}, {"ref": "oscarletech/bidding-elasticnet-stacker-lb-0-3832-submit", "kernel_id": "109677678"}, {"ref": "sharmajicoder/bidding-prediction-for-construction", "kernel_id": "110240310"}, {"ref": "pythoxb/bidding-predictions-for-construction", "kernel_id": "110232154"}, {"ref": "serdaronal/bidding-predictions-for-construction", "kernel_id": "120913747"}]}
{"competition_id": "130072", "kernels": [{"ref": "hmnshudhmn24/cyprus-ai-camp-the-last-frequency", "kernel_id": "108882047"}, {"ref": "cyprusaitraining/notebook40ce06c765", "kernel_id": "108801670"}, {"ref": "alexanderpovarov/hubert-for-commands-classification", "kernel_id": "125024491"}]}
{"competition_id": "130079", "kernels": [{"ref": "hmnshudhmn24/iti5212-rec-sys-2026", "kernel_id": "109008624"}]}
{"competition_id": "130083", "kernels": []}
{"competition_id": "130095", "kernels": [{"ref": "avi70687/avinash-mishra-abes-ml-challenge-baseline-notebook", "kernel_id": "108892307"}, {"ref": "adityakumarrohila/employee-burnout-score", "kernel_id": "108855470"}, {"ref": "hmnshudhmn24/abes-insightml-2-predictionofemployeeburnoutscore", "kernel_id": "108882656"}, {"ref": "khwahishseth/khwahish-computer-science", "kernel_id": "108944920"}, {"ref": "swapnil9839/mysecondcompetition", "kernel_id": "108924929"}, {"ref": "susheelprajapati9794/predictionofemployeeburnout-score", "kernel_id": "108853617"}, {"ref": "thepkp9549/abes-insightml-2-predictionofemployeeburnoutscore", "kernel_id": "109017710"}, {"ref": "vivekbhojyan/vivek-kumar", "kernel_id": "109063501"}, {"ref": "sonakshi2718/linear-regression", "kernel_id": "109018788"}, {"ref": "vartikasachan14/vartikasachan", "kernel_id": "109019886"}, {"ref": "kuldeepkumar01072005/kuldeep-1", "kernel_id": "109019170"}, {"ref": "swapnil1153/abesml", "kernel_id": "109057732"}, {"ref": "sujeetfz/abes-insightml-2-predictionofemployeeburnoutscore", "kernel_id": "109033254"}, {"ref": "tejaswagupta/tejaswa-gupta-cse28", "kernel_id": "109018698"}, {"ref": "asitsrivastava2604/asitsrivastava-cseds", "kernel_id": "109015068"}, {"ref": "advik1424/aditya-cse-ds", "kernel_id": "109015863"}, {"ref": "aishwaryagupta2007/kaggle-competition", "kernel_id": "109015307"}, {"ref": "yuvrajmishra01/yuvraj-mishra", "kernel_id": "109066530"}, {"ref": "aryannnnnn11/notebookd33c87ac49", "kernel_id": "109019595"}, {"ref": "sunnypratapsingh07/predictionofemployeeburnout-score", "kernel_id": "110720376"}]}
{"competition_id": "130144", "kernels": [{"ref": "hmnshudhmn24/advanced-insurance-forecasting-competition", "kernel_id": "109009295"}]}
{"competition_id": "130196", "kernels": [{"ref": "sweetyseelam/baseline-catboost-multiclass-log-loss", "kernel_id": "108886476"}, {"ref": "hmnshudhmn24/ai-decision-correctness-business-scenarios", "kernel_id": "108900392"}]}
{"competition_id": "130207", "kernels": [{"ref": "hmnshudhmn24/ai-grand-prix-task-2", "kernel_id": "109240819"}]}
{"competition_id": "130208", "kernels": []}
{"competition_id": "130219", "kernels": []}
{"competition_id": "130239", "kernels": [{"ref": "lightningv08/stock-pledge-2026-0-689-simple-catboost-kfold", "kernel_id": "108993949"}, {"ref": "alanamonks/lgb-stock", "kernel_id": "108930296"}, {"ref": "hmnshudhmn24/stock-pledge-financing-default-prediction-2026", "kernel_id": "108937974"}, {"ref": "abc1705/stock-pledge-baseline-0-710", "kernel_id": "109132335"}, {"ref": "omidbaghchehsaraei/tabicl-a-foundation-model-for-financial-risk", "kernel_id": "109048141"}, {"ref": "sivaakhilnukala/rf-xgb-ensemble-10-folds-0-724", "kernel_id": "109657044"}, {"ref": "yunsuxiaozi/stock2026-n10", "kernel_id": "109123067"}, {"ref": "mrsohelranapro/data-driven-stock-pledge-financing-ml", "kernel_id": "109544047"}, {"ref": "lightningv08/stock-pledge-2026-0-741-fe-tabicl-kfold", "kernel_id": "109309655"}, {"ref": "lightningv08/stock-pledge-2026-0-715-simple-tabicl-kfold", "kernel_id": "109186533"}, {"ref": "lightningv08/stock-pledge-2026-0-743-fe-tabicl", "kernel_id": "109471726"}, {"ref": "lightningv08/stock-pledge-2026-0-745-fe-tabicl", "kernel_id": "109689871"}, {"ref": "suhanigupta04/equity-risk-prediction-robust-6-model-ensemble", "kernel_id": "109986159"}, {"ref": "alanamonks/tabicl-kfold-feature-eng", "kernel_id": "109249508"}, {"ref": "divyadarsheedash/dash001", "kernel_id": "109243239"}, {"ref": "eric15342335/adversarial-validation-stock-pledge-2026", "kernel_id": "109954164"}, {"ref": "eric15342335/eda-stock-pledge-financing-default-prediction-2026", "kernel_id": "109954049"}, {"ref": "eric15342335/single-feature", "kernel_id": "109390969"}, {"ref": "abbas829/stock-pledge", "kernel_id": "110395901"}, {"ref": "abbas829/credit-default-prediction-with-logistic-regression", "kernel_id": "110567666"}, {"ref": "lightningv08/stock-pledge-2026-top-1-fe-smote-ctgan-tabicl", "kernel_id": "110825858"}, {"ref": "bestwater/tabicl-smote-ctgan-stock-pledge-2026", "kernel_id": "111068733"}, {"ref": "furqonaryadana/tabicl-in-context-ensemble-local-context-retrieval", "kernel_id": "111745174"}, {"ref": "zsy1023002160/notebookb2146650e3", "kernel_id": "123608261"}]}
{"competition_id": "130252", "kernels": []}
{"competition_id": "130267", "kernels": []}
{"competition_id": "130280", "kernels": [{"ref": "skanderadamafi/titanic-survival", "kernel_id": "109321775"}, {"ref": "farzanaakthermele/titanic-survival-prediction", "kernel_id": "109222627"}, {"ref": "hmnshudhmn24/titanic-survivor-kaggle", "kernel_id": "109104452"}, {"ref": "aramelheni/titanic-survival-prediction", "kernel_id": "109319051"}]}
{"competition_id": "130287", "kernels": [{"ref": "antonygithinji/motion-s-dataset-exploration", "kernel_id": "109127295"}, {"ref": "antonygithinji/motion-s-starter-notebook-v2", "kernel_id": "109308116"}, {"ref": "vaishnavidesai345/motion-s-dataset-rvq-baseline-implementation", "kernel_id": "109755338"}, {"ref": "yashpalthakor/neural-sign-motion-synthesis-a-pytorch", "kernel_id": "109966937"}, {"ref": "zorornoa/motion-s-analysis", "kernel_id": "109466651"}, {"ref": "hmnshudhmn24/motion-s-text-to-sign-motion-generation", "kernel_id": "109241582"}, {"ref": "rahulchauhan016/motion-s-text2sign", "kernel_id": "109294006"}, {"ref": "aayushkatoch/motion-sa", "kernel_id": "110016076"}, {"ref": "sigmaborov/motion-s-text-to-sign-tf-idf-knn", "kernel_id": "110617628"}, {"ref": "sigmaborov/motion-s-text-to-sign-top-k-retrieval", "kernel_id": "110620380"}, {"ref": "sakshisemalti/sign-language-motion-eda-visualization", "kernel_id": "110918736"}, {"ref": "eminemohammed/aslsubmission1", "kernel_id": "110906706"}, {"ref": "rauffauzanrambe/robust-motion-feature-learning-for-text-to-sign-ge", "kernel_id": "110741236"}, {"ref": "pad1tya/motion-s-text2sign", "kernel_id": "111120498"}, {"ref": "realtalhacelik/custom-transformer-tricks-traps", "kernel_id": "111807233"}, {"ref": "maksimrazantsau/visualizepredictions", "kernel_id": "112739120"}, {"ref": "bittukumar7479/motion-s-dataset-exploration", "kernel_id": "113142569"}, {"ref": "manasi197/motion-s-sentence-tf-idf-sbert", "kernel_id": "114309837"}, {"ref": "daniilkrizhanovskyi/motion-s-text-to-sign-motion-generation", "kernel_id": "115205067"}, {"ref": "hiteshyadavx/text-to-motion", "kernel_id": "116879044"}, {"ref": "djain69/notebook080e0ffbe0", "kernel_id": "116971216"}, {"ref": "haomingtang1/motion-s-text-to-sign-tf-idf-knn", "kernel_id": "116099205"}, {"ref": "kongaevans/seq2seq-model-for-english-to-ksl", "kernel_id": "117157633"}, {"ref": "mtoshidesu/test-motion-s-starter-notebook-v2", "kernel_id": "117148870"}, {"ref": "hiteshyadavx/sign-to-motion", "kernel_id": "117067394"}, {"ref": "mtoshidesu/motion-s-text-to-sign-tf-idf-knn", "kernel_id": "118551667"}, {"ref": "samyakrajbayar/motion-s-sign", "kernel_id": "118384308"}, {"ref": "pinkrahnanaofosuhene/motion-s-sign-final-fork", "kernel_id": "118453053"}, {"ref": "pinkrahnanaofosuhene/motion-s-sign-p100-final", "kernel_id": "118453893"}]}
{"competition_id": "130310", "kernels": []}
{"competition_id": "130368", "kernels": []}
{"competition_id": "130469", "kernels": [{"ref": "lennarthaupts/calculate-elo-ratings", "kernel_id": "52155439"}, {"ref": "nishaanamin/bracketology-part-7-machine-learning-model", "kernel_id": "75846538"}, {"ref": "kaito510/goto-conversion-winning-solution", "kernel_id": "76441575"}, {"ref": "rsa013/march-madness-simulator", "kernel_id": "76876228"}, {"ref": "rsa013/march-madness-simulation-example", "kernel_id": "76914562"}, {"ref": "rsa013/march-madness-submission-tester", "kernel_id": "76742332"}, {"ref": "jiaoyouzhang/ncaa-2026-final-lightgbm", "kernel_id": "76416771"}, {"ref": "hertryggr/goto-conversion-15-place", "kernel_id": "78828371"}, {"ref": "martynaplomecka/march-machine-learning-mania-2026-starter", "kernel_id": "109706688"}, {"ref": "zoupet/eda-part-1-mteams-wteams", "kernel_id": "110232275"}, {"ref": "zoupet/pytorch-tabular-gpu-prediction", "kernel_id": "110234069"}, {"ref": "shams1/mania", "kernel_id": "110148784"}, {"ref": "kumarandatascientist/tried-to-refer-2025-competition-1st-place-solution", "kernel_id": "110045802"}, {"ref": "lucabasa/march-madness-eda-men-and-women-tournaments", "kernel_id": "110117535"}, {"ref": "rifat963/starter-eda-march-ml-mania-2026-eda", "kernel_id": "110105633"}, {"ref": "docxian/march-ml-mania-2026-r-analysis", "kernel_id": "110178270"}, {"ref": "rosebv/test-copied-notebook", "kernel_id": "110653654"}, {"ref": "stpeteishii/mania2026-autogluon", "kernel_id": "110638106"}, {"ref": "stpeteishii/mania2026-mlp-prediction", "kernel_id": "110507370"}, {"ref": "stpeteishii/mania2026-lgbm-prediction", "kernel_id": "110303079"}, {"ref": "stpeteishii/mania2026-randomforest-prediction", "kernel_id": "110261733"}, {"ref": "pilkwang/structured-eda-dataset-statistical-analysis", "kernel_id": "110121962"}, {"ref": "pilkwang/mmlm2026-baseline-pipeline-step-by-step", "kernel_id": "110125863"}, {"ref": "mpwolke/twelfth-march-mania-google-adk", "kernel_id": "110337298"}, {"ref": "dedquoc/march-mlm-2026-lightgbm-seed-features-v3", "kernel_id": "110215532"}, {"ref": "yasunorim/march-machine-learning-mania-2026-baseline", "kernel_id": "110137431"}, {"ref": "ravi20076/ncaa2026-public-baseline-v2", "kernel_id": "110841857"}, {"ref": "ravi20076/ncaa2026-public-baseline-v1", "kernel_id": "110043416"}, {"ref": "masanakashima/mmlm2026-sabermetrics-elo-lightgbm-top5", "kernel_id": "110324327"}, {"ref": "masanakashima/mmlm-2026-sabermetrics-elo-lgbm-top-5", "kernel_id": "110323773"}, {"ref": "d1ffic00lt/full-data-merge-eda", "kernel_id": "110059827"}, {"ref": "loopassembly/0-00-brier-score-guaranteed-the-ultimate-base", "kernel_id": "110123780"}, {"ref": "caseyotieno/march-machine-learning-mania-2026", "kernel_id": "110310279"}, {"ref": "fredderuiter/4glory-does-fred-know-ball", "kernel_id": "110212546"}, {"ref": "chhandanaskar7/march-ncaa-magic-mania-2026", "kernel_id": "110949286"}, {"ref": "chhandanaskar7/march-tournament-ncaa-2026", "kernel_id": "110980051"}, {"ref": "jagrutiyuvrajdhangar/marginal-competition", "kernel_id": "110249531"}, {"ref": "shivanisharma1297/march-mania", "kernel_id": "110275012"}, {"ref": "belbino/0-18-logloss-xgboost-march-madness-pipeline", "kernel_id": "110305283"}, {"ref": "blourdhuraju/ncaa-basketball-tournament-2026-predictions-ipynb", "kernel_id": "110168479"}, {"ref": "yashpalthakor/deep-learning-based-probabilistic-prediction", "kernel_id": "110661592"}, {"ref": "evgendvorkin/ncaabaselinesubmission", "kernel_id": "110248438"}, {"ref": "engineerfrabbi/march-machine-learning-mania-2026-3", "kernel_id": "110610556"}, {"ref": "engineerfrabbi/march-machine-learning-mania-2026-2", "kernel_id": "110602901"}, {"ref": "engineerfrabbi/march-machine-learning-mania-2026", "kernel_id": "110592701"}, {"ref": "engineerfrabbi/march-machine-learning-mania-2026-4", "kernel_id": "110725355"}, {"ref": "sofianechehboune/march-ml-mania-2026-xgboost-lightgbm", "kernel_id": "110274579"}, {"ref": "arockianishas/march-machine-learning-mania-2026", "kernel_id": "110136209"}, {"ref": "arockianishas/hybrid-model-for-mania-2026", "kernel_id": "110155084"}, {"ref": "arockianishas/mania-2026", "kernel_id": "110160842"}, {"ref": "artemgoncarov/lb-0-0-leak-submit", "kernel_id": "110058698"}, {"ref": "ramazanturann/mmlm-2026-xgboost-point-diff-to-win-probability", "kernel_id": "110128547"}, {"ref": "oralia/logisticregression-histgradientboosting", "kernel_id": "110897264"}, {"ref": "veniaminnelin/lb-0-0-time-and-chance-happen-to-them-all", "kernel_id": "110036880"}, {"ref": "rohanrk1813/march-mania", "kernel_id": "110501853"}, {"ref": "gourabr0y555/0-0796-march-mania-26-training-infer-1", "kernel_id": "110625025"}, {"ref": "rupankarmajumdar/march-machine-learning-mania-2026-evidence-model", "kernel_id": "110736556"}, {"ref": "rupankarmajumdar/march-machine-learning-mania-2026-bradley-terry", "kernel_id": "110503521"}, {"ref": "koushikkumardinda/march-machine-learning-mania-2026", "kernel_id": "110215900"}, {"ref": "dimong4/march-mania-2026", "kernel_id": "110917571"}, {"ref": "robinamirbahar/robina-march-machine-learning-mania-2026", "kernel_id": "110766943"}, {"ref": "rudraprasadbhuyan/ncaa-p5-adv-elo", "kernel_id": "110800850"}, {"ref": "rudraprasadbhuyan/ncaa-p1-dataset-overview-structure-understanding", "kernel_id": "110492291"}, {"ref": "rudraprasadbhuyan/ncaa-p2-basline-male-4-datasets", "kernel_id": "110589860"}, {"ref": "rudraprasadbhuyan/ncaa-p4-simple-elo", "kernel_id": "110769303"}, {"ref": "rudraprasadbhuyan/ncaa-p3-features-eng", "kernel_id": "110707024"}, {"ref": "vladimirnasalciuc/mm2026-ensemble-platt-temporal-cv", "kernel_id": "110503111"}, {"ref": "haradibots/why-she-dump-me", "kernel_id": "110117504"}, {"ref": "haradibots/sample-lightgbm", "kernel_id": "110116678"}, {"ref": "haradibots/lb-0-00000-randomforest-with-hyperparameter", "kernel_id": "110481694"}, {"ref": "haradibots/rework-n-same", "kernel_id": "110479364"}, {"ref": "haradibots/she-dump-me", "kernel_id": "110478526"}, {"ref": "haradibots/lets-do-something", "kernel_id": "110465761"}, {"ref": "alanamonks/baseline-0-131-brier-on-2025-val-samples", "kernel_id": "110339330"}, {"ref": "alanamonks/xgb-baseline", "kernel_id": "110343251"}, {"ref": "mojjeed/basketbawlll-goldddd", "kernel_id": "110057316"}, {"ref": "imdadulhasanhamim/lb-0-00000-xgboost-catboost-lightgbm", "kernel_id": "110728635"}, {"ref": "imdadulhasanhamim/evidence-ensemble", "kernel_id": "110662319"}, {"ref": "imdadulhasanhamim/ensemble-model-xgboost-catboost-lightgbm", "kernel_id": "110658611"}, {"ref": "imdadulhasanhamim/mmlm-simple", "kernel_id": "110951154"}, {"ref": "rochefortljh/ncaa-madness-stack", "kernel_id": "110828682"}, {"ref": "gehadabdulaziz/march-machine-learning-mania", "kernel_id": "110132654"}, {"ref": "msama01/ml-mania-code", "kernel_id": "110464327"}, {"ref": "benjaminhaddad1/mmy26", "kernel_id": "110597024"}, {"ref": "ishitabahamnia/march-machine-learning-mania-2026-ishita", "kernel_id": "110220984"}, {"ref": "nabasaikia/nba-match-pred", "kernel_id": "110644660"}, {"ref": "mah20050/ratioal-madness-and-safeguard-predictor", "kernel_id": "110947099"}, {"ref": "rhythmghai/pairwise-outcome-reference-model", "kernel_id": "110160446"}, {"ref": "junesdata/adk-pipeline-xgb-loto-validation", "kernel_id": "110026195"}, {"ref": "junesdata/loo-validation-lr-baseline", "kernel_id": "110024309"}, {"ref": "trnhquangminh140/march-machine-learning-mania-2026-minh", "kernel_id": "110342563"}, {"ref": "kagger3/march-mania", "kernel_id": "110627270"}, {"ref": "avikdas567/logreg-team-ratings-sos-features-ml-mania-2026", "kernel_id": "110102867"}, {"ref": "earnestgomer/notebookc13ad88ed8", "kernel_id": "110945606"}, {"ref": "charankulal0987/march-machine-learning-mania-2026", "kernel_id": "110160573"}, {"ref": "adaluvu/mania-2026", "kernel_id": "110405157"}, {"ref": "gauravparkhedkar/0-1344010-score", "kernel_id": "110402375"}, {"ref": "chirag6668/basketballmania-beginners", "kernel_id": "110821270"}, {"ref": "kageop/march-machine-learning-mania-2026", "kernel_id": "110351198"}, {"ref": "ryanadamsai/ml-mania-2026-newbie-guide", "kernel_id": "110952056"}, {"ref": "ryanadamsai/march-ml-mania-2026-tip-off-eda", "kernel_id": "110127348"}, {"ref": "ryanadamsai/march-mania-goto-conversion-calibrated-elo", "kernel_id": "110992666"}, {"ref": "mpanoyimanaomer/now-mania-2026", "kernel_id": "110154147"}, {"ref": "nina2025/ncaa-march-mania-2026-ensemble-of-solutions-3", "kernel_id": "110278109"}, {"ref": "nina2025/ncaa-march-mania-2026-ensemble-of-solutions-4", "kernel_id": "110387243"}, {"ref": "nina2025/ncaa-march-mania-2026-ensemble-of-solutions-2", "kernel_id": "110210510"}, {"ref": "nina2025/ncaa-march-mania-2026-ensemble-of-solutions-1", "kernel_id": "110125966"}, {"ref": "yashanathaniel/lightgbm-simple-native-0-02081", "kernel_id": "110632687"}, {"ref": "yashanathaniel/beyond-seeds-lgbm-single-pythagoreanwr-eloncaa", "kernel_id": "110345773"}, {"ref": "yashanathaniel/ncaa-stage1-perfect-score-0-0", "kernel_id": "110348028"}, {"ref": "yashanathaniel/simple-fast-native-lgb", "kernel_id": "110238925"}, {"ref": "ishhverma/notebooka8e61645ba", "kernel_id": "110947725"}, {"ref": "ahmetemirdundar/ncaa-prediction-0-19-brier-score", "kernel_id": "110091008"}, {"ref": "utaazu/ncaa-2026-tabpfn-ensemble-playground", "kernel_id": "110957782"}, {"ref": "kiransingh31297/notebook940c11aabf", "kernel_id": "110899426"}, {"ref": "hmnshudhmn24/march-machine-learning-mania-2026", "kernel_id": "110084867"}, {"ref": "rahulchauhan016/mmm-2026-advanced-ensemble-men-women", "kernel_id": "110061782"}, {"ref": "jeffborschowa/march-machine-learning-mania-2026-starter", "kernel_id": "110129672"}, {"ref": "jeffborschowa/march-mania-2026-v2-starter", "kernel_id": "110130850"}, {"ref": "mohankrishnathalla/march-machine-learning-mania-2026", "kernel_id": "110444104"}, {"ref": "saamhm/eda-feature-engineerin-catboost-xgboost-lightgbm", "kernel_id": "110977611"}, {"ref": "ekremkutukculer/predicting-march-mania-2026-multi-model-ensemble", "kernel_id": "110918338"}, {"ref": "ekremkutukculer/mania-2026-preprocessing-step", "kernel_id": "110902596"}, {"ref": "meenalsinha/march-mania-2026", "kernel_id": "110813265"}, {"ref": "karol05/march-machine-learning-mania-1", "kernel_id": "110200488"}, {"ref": "ahmadzulfiqar001/ncaa-2026-predictor-feature-engineering", "kernel_id": "110789920"}, {"ref": "sppkathai/march2026-1", "kernel_id": "110136784"}, {"ref": "dharmikpatelpatel/march-mania-ml-2026", "kernel_id": "110107693"}, {"ref": "zumermalik/ncaa-2026-brier-optimizer-pipeline", "kernel_id": "110982410"}, {"ref": "emanuellcs/march-ml-mania-2026-histgb-xgb-catboost", "kernel_id": "110092321"}, {"ref": "songoku2005/march-mlm", "kernel_id": "110826701"}, {"ref": "bc220211641ahsan/notebookf7b914f8dd", "kernel_id": "110141838"}, {"ref": "kamalesh0201/march-mania-2026-baseline", "kernel_id": "110171876"}, {"ref": "aparnaroyt/march-mania-complete-eda-seeds-upsets-rank", "kernel_id": "110161786"}, {"ref": "rauffauzanrambe/march-machine-learning-mania-2026-v3-2-hunter-mode", "kernel_id": "110053170"}, {"ref": "melccoro/ncaa-march-madness-beginner-workflow", "kernel_id": "110800996"}, {"ref": "bikramchapagain/march-machine-learning-mania-2026-ncaa", "kernel_id": "110942761"}, {"ref": "igormerlinicomposer/volt-ncaa-2026-baseline", "kernel_id": "110841298"}, {"ref": "ivar11/yolov11", "kernel_id": "110830341"}, {"ref": "jtrotman/interactive-probability-heatmap-explorer", "kernel_id": "111159502"}, {"ref": "kuzn137/20-features-with-tabm", "kernel_id": "111034180"}, {"ref": "rohannanaware/creating-a-custom-elo-engine-most-sign-features", "kernel_id": "111233519"}, {"ref": "rohannanaware/rating-team-strength-elo-vs-expert-systems", "kernel_id": "111181384"}, {"ref": "aelhajj/march-ml-mania-2026-tabicl", "kernel_id": "111175751"}, {"ref": "mifnkst/march-mania-2026-lgbm-optuna-group-k-fold", "kernel_id": "111924654"}, {"ref": "thomasmeiner/march-ml-mania-2026-bluecast-3-0-nightly", "kernel_id": "111824477"}, {"ref": "mkaur1141/march-machine-learning-mania-2026", "kernel_id": "111058348"}, {"ref": "emanafi/march-machine-learning-mania-2026", "kernel_id": "111353535"}, {"ref": "nadiakhalid/march-machine-learning-mania-2026", "kernel_id": "111122537"}, {"ref": "sjpat6/march-machine-learning-mania-2026-sjp-edits", "kernel_id": "111595133"}, {"ref": "taiwofeyijimi/march-goodness-2026-hoe-a-ensemble-nb", "kernel_id": "111128770"}, {"ref": "loopassembly/mmm-2026-seed-elo-lgbm-baseline", "kernel_id": "111431788"}, {"ref": "abhinavsharma0706/march-02", "kernel_id": "111048674"}, {"ref": "abhinavsharma0706/march-01", "kernel_id": "111047983"}, {"ref": "alexycactus/didactic-01-feature-engineering", "kernel_id": "111005686"}, {"ref": "alexycactus/didactic-02-modelling-pipeline", "kernel_id": "111005930"}, {"ref": "dasdasdada/march-mania-2026-xgb-lgb-ensemble-19-features", "kernel_id": "111298534"}, {"ref": "amerhu/short-sweet-march-mania", "kernel_id": "111365880"}, {"ref": "engineerfrabbi/march-machine-learning-mania-2026-8", "kernel_id": "111048092"}, {"ref": "engineerfrabbi/march-machine-learning-mania-2026-7", "kernel_id": "111042572"}, {"ref": "engineerfrabbi/march-machine-learning-mania-2026-5", "kernel_id": "111026081"}, {"ref": "engineerfrabbi/march-machine-learning-mania-2026-6", "kernel_id": "111041291"}, {"ref": "serariagomes/ncaa2026-improved-v2", "kernel_id": "111310949"}, {"ref": "zeyadmohamadezzat/ml-mania-2026-historical-outcome-blending", "kernel_id": "111208127"}, {"ref": "smalleyes0m364/qwen2-5-3b", "kernel_id": "111698226"}, {"ref": "muhammaddanyalmalik/lightgbm-based-solution-march-ml-mania-2026", "kernel_id": "111455470"}, {"ref": "muhammaddanyalmalik/ready-data-visualization-march-ml-mania-26", "kernel_id": "111019797"}, {"ref": "seungwoo64/external-data-lat-lon-dictionary-for-cities", "kernel_id": "111281706"}, {"ref": "dureyashfeen/mmlm-2026", "kernel_id": "111899132"}, {"ref": "muffinboy/mmlm-data-processing", "kernel_id": "111034167"}, {"ref": "dawidgolicki/ncaa2026-mlp-v1", "kernel_id": "111674407"}, {"ref": "jaygadher/ultra-high-performance", "kernel_id": "111000548"}, {"ref": "farooqshahhhhh/ncaa-2026-kenpom-separate-gender-models", "kernel_id": "111093203"}, {"ref": "earnestgomer/new-benchmark-task-4be73", "kernel_id": "111502969"}, {"ref": "furqonaryadana/march-mania-2026-oracle-dual-track-ensemble", "kernel_id": "111377225"}, {"ref": "furqonaryadana/0-1471-stage-2-metastack-madness-engine-eda", "kernel_id": "111460013"}, {"ref": "thomaslallen/ncaa2026-tabicl-xgboost-lightgbm", "kernel_id": "111370491"}, {"ref": "ranaabdulrehman145/march-mania-2026", "kernel_id": "111206510"}, {"ref": "kacchanwriting/2025-1st-place-solution-modeh7-jp", "kernel_id": "111444944"}, {"ref": "kacchanwriting/2025-1st-place-solution-modeh7-2026-adaptation", "kernel_id": "111442838"}, {"ref": "orecord/signal-processing-basketball-2026", "kernel_id": "111305916"}, {"ref": "waddahali/ncaa-2026-stage-2-xgb-lgbm-lr-ensemble", "kernel_id": "111356392"}, {"ref": "ssssws/march-madness-2026-ncaa-tournament-predictor", "kernel_id": "111228445"}, {"ref": "mustak1217/march-ml-mania-2026-brierscore-modeling", "kernel_id": "111171359"}, {"ref": "ekremkutukculer/march-madness-2026-hybrid", "kernel_id": "111222324"}, {"ref": "johndora/fork-of-ncaa-2026-robust-local-validation-fram", "kernel_id": "111068353"}, {"ref": "wojciechkiebowicz/the-one-and-only-mmlm-2026-submission", "kernel_id": "111061255"}, {"ref": "hrshitha06/notebookcdbcec2598", "kernel_id": "111034228"}, {"ref": "aminmahmoudalifayed/march-machine-learning-mania-2026-championshi", "kernel_id": "111699497"}, {"ref": "aminmahmoudalifayed/march-ml-mania-2026", "kernel_id": "111586643"}, {"ref": "igormerlinicomposer/march-mania-2026-27-100k-elo-xgboost-sims", "kernel_id": "111834813"}, {"ref": "freeradical/march-mania-2026-final-model", "kernel_id": "112645766"}, {"ref": "sidcodegg/interactive-submission-visualizer", "kernel_id": "112381994"}, {"ref": "asimandia/not-this-year-s-raddar-notebook", "kernel_id": "112414095"}, {"ref": "addisonhoward/march-mania-2026-solution-file", "kernel_id": "112737431"}, {"ref": "kostyaatarik/28th-place-solution", "kernel_id": "112590054"}, {"ref": "rsa013/mmlm-solution-2026", "kernel_id": "112194299"}, {"ref": "tobimichigan/marchm-basketball-ml-algorithmic-pipeline", "kernel_id": "112733186"}, {"ref": "jazivxt/ai-ball-the-triple-threat", "kernel_id": "112286133"}, {"ref": "makarbaderko/abobus-solution-7th-place", "kernel_id": "112642090"}, {"ref": "nameditor/march-madness-2026-elo-xgboost-full-pipeline", "kernel_id": "112816221"}, {"ref": "architkonde/march-machine-learning-mania-2026", "kernel_id": "112509281"}, {"ref": "jakewright/march-mania-2026-lr-lgbm-ensemble", "kernel_id": "112502318"}, {"ref": "codingmaster24/march-machine-learning-mania-2026-v2", "kernel_id": "112614974"}, {"ref": "codingmaster24/march-machine-learning-mania-2026-v3", "kernel_id": "112615745"}, {"ref": "codingmaster24/march-machine-learning-mania-2026-v4", "kernel_id": "112615779"}, {"ref": "codingmaster24/march-machine-learning-mania-2026-v1", "kernel_id": "112614270"}, {"ref": "chiachiiliang/ncaa26-chaos-index-elo-ratings-gbdt-ensemble", "kernel_id": "112375870"}, {"ref": "jacksonsm/march-mania-2026-eda-elo-efficiency-feature", "kernel_id": "112432133"}, {"ref": "danieltsai04/march-madness-2026-the-data-story-eda", "kernel_id": "112815864"}, {"ref": "taprgmr/ncna-mm-final-solution-2026", "kernel_id": "112505121"}, {"ref": "ayouuu/fsadda", "kernel_id": "112454497"}, {"ref": "fanhuaiyuan/final-ncaa-2026", "kernel_id": "112270070"}, {"ref": "muhammadanas007/march-machine-learning-mania-competition", "kernel_id": "112617275"}, {"ref": "onya31/march-ml-mania-adk-starter", "kernel_id": "112099970"}, {"ref": "poojakuniyal/2026-march-ml-mania", "kernel_id": "112476207"}, {"ref": "aloneintokyo11/sup-raddar", "kernel_id": "112599404"}, {"ref": "debasmita1/march-mania-2026", "kernel_id": "112657767"}, {"ref": "madelineprestegaard/notebook414d7a9f6e", "kernel_id": "112411981"}, {"ref": "carp0308/logistic-regression-model-with-team-statistics", "kernel_id": "112194858"}, {"ref": "tusharbhardwaj0409/march-mania-2026-ensemble-lgb-xgb-seed-blend", "kernel_id": "112261042"}, {"ref": "usmankhandilzak/ncaa-machine-learning-mania-2026", "kernel_id": "112092690"}, {"ref": "rajeshmanivibez/march-machine-learning-mania-2026-new-3", "kernel_id": "112148925"}, {"ref": "valarmorghulis30/mml-mania-ncaa-2026", "kernel_id": "112614056"}, {"ref": "lucague/march-madness-randomforest-elo-gridsearch", "kernel_id": "112420046"}, {"ref": "akselcansozudogru/marchmadness26", "kernel_id": "112135373"}, {"ref": "samibadidi/notebook02207e0b30", "kernel_id": "112256690"}, {"ref": "akshitabhardwaj2/notebook04bda66e03", "kernel_id": "112140196"}, {"ref": "farmerjohn2/ncaa-2026-predictive-model-analysis-diagnostics", "kernel_id": "112309441"}, {"ref": "fairlanderflick/march-machine-learning-mania-2026", "kernel_id": "112718081"}, {"ref": "jaiakashcoc0786/march-mania", "kernel_id": "112199049"}, {"ref": "rifat2002/march-mania-2026-competition", "kernel_id": "112708776"}, {"ref": "zakiyaths/ntbml-final01", "kernel_id": "112723003"}, {"ref": "pierridotite/top-1-solution-the-4-model-blend", "kernel_id": "112615036"}, {"ref": "kisameh/top-1-goto-conversion-uclaw", "kernel_id": "112723594"}, {"ref": "chinese007/march-ml-mania-2026-lr-lgb-ensemble", "kernel_id": "113086265"}, {"ref": "abc1705/0-1183872-after-118-games", "kernel_id": "113657662"}, {"ref": "sanjaysuthraye96/eda-part-1-tournament-basics-historical", "kernel_id": "113052747"}, {"ref": "sanjaysuthraye96/eda-part-2-team-stats-conference-analysis", "kernel_id": "113054308"}, {"ref": "sanjaysuthraye96/eda-part-3-upset-patterns-ranking-systems", "kernel_id": "113055508"}, {"ref": "jghgsdufklh/ncaa-march-madness-2026-ensemble-model", "kernel_id": "113714465"}, {"ref": "hassannjwaba/march-machine-learning-mania-2", "kernel_id": "113408203"}, {"ref": "asanashirov/march-mania-2026", "kernel_id": "113947555"}, {"ref": "junaid512/0-09560-scored-march-machine-learning-mania-2026", "kernel_id": "113681803"}, {"ref": "kmaniv/march-machine-learning-mania-2026", "kernel_id": "113934990"}, {"ref": "hassangasem/march-machine-learning-mania-2026-a-statistical-m", "kernel_id": "113461886"}, {"ref": "eissam0/march-madness-outcome-prediction", "kernel_id": "113700205"}, {"ref": "gastondana/march-mania-2026", "kernel_id": "113938687"}, {"ref": "laveshjadon/march-madness-2026-xgb-lgb-lr-ensemble", "kernel_id": "113044279"}, {"ref": "laveshjadon/bracket-breaker-xgb-lgb-lr-stacked-ensemble", "kernel_id": "113284807"}, {"ref": "ismailumarajingi/nonlinear-autoencoders-for-ncaa", "kernel_id": "113250136"}, {"ref": "saktiwirasasmita/march-mania-2026-elo-box-score-ordinals-xg", "kernel_id": "113143839"}, {"ref": "melccoro/ncaa-march-madness-beyond-beginner-workflow", "kernel_id": "113108497"}, {"ref": "motusambex/march-mania-2026-ensemble-pipeline", "kernel_id": "113392514"}, {"ref": "chanyaning/march-machine-learning-chan", "kernel_id": "113949861"}, {"ref": "khurramnawazkhan/march-madness-2026-eda", "kernel_id": "113882726"}, {"ref": "arbazkhanak/march-mania-2026-complete-eda", "kernel_id": "113890534"}, {"ref": "bopengiowa/sub-2e7eab-04021828", "kernel_id": "114425263"}, {"ref": "sqlrockstar/ncaa-tournament-simulation-brier-scoring", "kernel_id": "114915621"}, {"ref": "harrisonhoran/harry-march-mania-2026-notebook", "kernel_id": "114884132"}, {"ref": "mrmshahidsardar/march-madness-outcome-predictor", "kernel_id": "114670006"}, {"ref": "denislu/march-machine-learning-mania-2026", "kernel_id": "114335831"}, {"ref": "akashawan/march-machine-learning-mania-2026-baseline", "kernel_id": "114749133"}, {"ref": "aadityaiscoding/ml-marchmania", "kernel_id": "114827820"}, {"ref": "payaldhokane/march-machine-learning-mania-2026", "kernel_id": "114295309"}, {"ref": "girrajjangid/elo-features-lightgbm-blending", "kernel_id": "114447589"}, {"ref": "dextersebs/forecast-the-2026-ncaa-basketball-tournaments", "kernel_id": "114609553"}, {"ref": "rohitv18/march-mania-ml-2026", "kernel_id": "114211994"}, {"ref": "pretysaha/march-ml-mania-2026", "kernel_id": "114273620"}, {"ref": "liviuolos/march-mania-2026-dual-elo-efficiency-ensemble", "kernel_id": "114425600"}, {"ref": "kaito510/goto-conversion2024-2025-2026-withdirectsub", "kernel_id": "115532936"}, {"ref": "nbanti943gmailcon/notebook903196124b", "kernel_id": "115262516"}, {"ref": "seddikbenkerrouche/6th-place-solution-march-machinelearningmania-2026", "kernel_id": "115009890"}, {"ref": "seddikbenkerrouche/ncaa-2026-eda-elo-ratings-and-gradient-esemble", "kernel_id": "115130528"}, {"ref": "seddikbenkerrouche/calculate-elo-ratings", "kernel_id": "115121070"}, {"ref": "beraterolelk/7-model-grandmaster-blend-elite-rating-analytics", "kernel_id": "115419756"}, {"ref": "huphcphmquang/8th-place-march-machine-learning-mania-2026", "kernel_id": "115112993"}, {"ref": "wentingyun/marchmadness2026-brierscore0-128-beginnerguide", "kernel_id": "115094475"}, {"ref": "alphawave9/march-2026-sub", "kernel_id": "115393255"}, {"ref": "jaloeffe92/march-mania-feature-engineering", "kernel_id": "116845629"}, {"ref": "nhatdealin/notebook15f77f3c3e", "kernel_id": "117786838"}, {"ref": "cheerio69/march-machine-learning-mania-2026", "kernel_id": "117776888"}, {"ref": "b3bkarino/march-machine-learning-mania-v6", "kernel_id": "119794124"}, {"ref": "srishtigauraha/march-machine-learning-mania-2026-final", "kernel_id": "121334458"}, {"ref": "thiminhanhdo96/advanced-ensemble-calibration", "kernel_id": "122485671"}, {"ref": "novarisea/march-mania-elo", "kernel_id": "123242492"}, {"ref": "poseyguo/march-machine-learning-mania-2026", "kernel_id": "130947944"}, {"ref": "axieof/sc4000-group-assignment-base-model", "kernel_id": "134585397"}]}
{"competition_id": "130500", "kernels": []}
{"competition_id": "130503", "kernels": []}
{"competition_id": "130506", "kernels": []}
{"competition_id": "130510", "kernels": []}
{"competition_id": "130513", "kernels": []}
{"competition_id": "130566", "kernels": []}
{"competition_id": "130572", "kernels": [{"ref": "antoningorokva/baseline-extreme-condensation-aicc-round-4", "kernel_id": "110106472"}, {"ref": "antoningorokva/ref-solution-extreme-condensation-aicc-round-4", "kernel_id": "110176113"}, {"ref": "roumak77/notebookc63ac08fa2", "kernel_id": "121013539"}]}
{"competition_id": "130635", "kernels": [{"ref": "hmnshudhmn24/cs4248-sentiment-analysis-2520", "kernel_id": "109511177"}, {"ref": "mchgialc/sentiment-analysis-mgl-1", "kernel_id": "110801607"}]}
{"competition_id": "130657", "kernels": []}
{"competition_id": "130681", "kernels": [{"ref": "nabasaikia/fooddetection-efficientnetb0", "kernel_id": "109691808"}, {"ref": "nabasaikia/computer-vis-vit", "kernel_id": "109855238"}, {"ref": "nabasaikia/cnn-image-classification1", "kernel_id": "109555136"}, {"ref": "phaichiuuuuuu/notebookda09743ed1", "kernel_id": "111830030"}, {"ref": "mdabdulalhasib/ahttbs", "kernel_id": "112706431"}, {"ref": "yiyangsame/notebook4ebe5f5cb6", "kernel_id": "134082043"}]}
{"competition_id": "130683", "kernels": [{"ref": "reinmv/introduction-notebook", "kernel_id": "109387075"}, {"ref": "mgjprinsen/claude", "kernel_id": "110165092"}, {"ref": "lakhindarpal/ai-cup-2026-performance-track", "kernel_id": "112061311"}, {"ref": "philippsinger/simple-tabpfn-without-drift-private-lb-0-523", "kernel_id": "114192332"}, {"ref": "reindertpelsma/aicup-simple-tabpfn-catboost-0-51824-private-lb", "kernel_id": "114115397"}]}
{"competition_id": "130685", "kernels": []}
{"competition_id": "130741", "kernels": [{"ref": "sweetyseelam/baseline-1-bm25-tf-idf-retrieval-answer-citation", "kernel_id": "111356791"}, {"ref": "sweetyseelam/baseline-2-embedding-retrieval-rerank", "kernel_id": "111357271"}, {"ref": "shaikjouziaafreenh/rag-retrieval-robustness-study", "kernel_id": "134022892"}]}
{"competition_id": "130764", "kernels": []}
{"competition_id": "130777", "kernels": []}
{"competition_id": "130783", "kernels": [{"ref": "yunsuxiaozi/tams-catboost-advanced", "kernel_id": "111646267"}, {"ref": "yunsuxiaozi/tams-tabicl-advanced", "kernel_id": "111318560"}]}
{"competition_id": "130788", "kernels": [{"ref": "sigmaborov/hamic-new-year-2026-challenge-nlp-task-baseline", "kernel_id": "109975103"}, {"ref": "hmnshudhmn24/hamic-new-year-2026-challenge-nlp-task", "kernel_id": "109583426"}]}
{"competition_id": "130797", "kernels": [{"ref": "sigmaborov/hamic-ny-2026-cv-task-simple-baseline", "kernel_id": "109979047"}, {"ref": "hmnshudhmn24/hamic-new-year-2026-challenge-cv-task", "kernel_id": "109584607"}]}
{"competition_id": "130856", "kernels": []}
{"competition_id": "130880", "kernels": [{"ref": "sigmaborov/hamic-ny-2026-challenge-algo-simple-baseline", "kernel_id": "109984660"}, {"ref": "hmnshudhmn24/hamic-new-year-2026-challenge-algo-task", "kernel_id": "109583720"}]}
{"competition_id": "130888", "kernels": []}
{"competition_id": "130900", "kernels": []}
{"competition_id": "130901", "kernels": [{"ref": "hmnshudhmn24/critical-object-grounding", "kernel_id": "109476392"}]}
{"competition_id": "130919", "kernels": [{"ref": "hmnshudhmn24/ia2526", "kernel_id": "109583106"}]}
{"competition_id": "130932", "kernels": [{"ref": "mirzamilanfarabi/lens-correction-hough-transform-feb-22", "kernel_id": "110255195"}, {"ref": "mirzamilanfarabi/resnet50-solution", "kernel_id": "110255558"}, {"ref": "mirzamilanfarabi/efficientnet-b0-solution", "kernel_id": "110255598"}, {"ref": "mirzamilanfarabi/automatic-lens-correction-lensunet-feb-22", "kernel_id": "110256500"}, {"ref": "mirzamilanfarabi/automatic-lens-correction-lensunet-v2", "kernel_id": "110263443"}, {"ref": "sharmajicoder/lens-correction-optimization", "kernel_id": "110259981"}, {"ref": "mr0106/advanced-lens-correction-system", "kernel_id": "110168362"}, {"ref": "mr0106/professional-lens-correction-system", "kernel_id": "110206674"}, {"ref": "mr0106/advanced-lens-correction-system-v5-0", "kernel_id": "110273897"}, {"ref": "mr0106/automatic-lens-correction", "kernel_id": "110277766"}, {"ref": "masry1/automatic-lens-correction-data-896", "kernel_id": "110209181"}, {"ref": "ramazanturann/k-parameter-regression-for-lens-correction", "kernel_id": "110206121"}, {"ref": "kadircandrisolu/automatic-lens-correction-k1-optimization", "kernel_id": "110162046"}, {"ref": "georgemuma/automatic-lens-correction-flownet", "kernel_id": "110180199"}, {"ref": "dheerajkannaujiya/lens-kart", "kernel_id": "110224304"}, {"ref": "ddtheking/notebook91c24d1538", "kernel_id": "110191451"}, {"ref": "hmnshudhmn24/automatic-lens-correction", "kernel_id": "110140205"}, {"ref": "digandy/imagelenscorrectionglobalsolution", "kernel_id": "110128793"}]}
{"competition_id": "130942", "kernels": [{"ref": "xjoannax88/student-productivity-eda-pred", "kernel_id": "109630985"}, {"ref": "ravi20076/studentprod2026-starter-v1", "kernel_id": "109596145"}, {"ref": "ravi20076/studentprod2026-blindblend-v1", "kernel_id": "109986232"}, {"ref": "khoatran311/spline-based-elasticnet-regression-model-0373", "kernel_id": "109939625"}, {"ref": "khoatran311/tuned-lgbm-model-295", "kernel_id": "109838608"}, {"ref": "anilabukhari/optimized-ridge-model-for-student-performance", "kernel_id": "109628739"}, {"ref": "sigmaborov/student-productivity-simple-baseline-to-start", "kernel_id": "109985562"}, {"ref": "sehaj1104/spline-and-polynomial-elasticnet-ensemble", "kernel_id": "109952256"}, {"ref": "sehaj1104/student-productivity-prediction-xgboost-baseline", "kernel_id": "109587270"}, {"ref": "kmmmvs/sppc-spline", "kernel_id": "110244930"}, {"ref": "ravi20076/studentprod2026-public-blend-v3", "kernel_id": "110330847"}, {"ref": "ravi20076/studentprod2026-public-blend-v2", "kernel_id": "110218200"}, {"ref": "kmmmvs/predicting-student-productivity", "kernel_id": "111476379"}, {"ref": "amerhu/winning-solution-ridge-regression", "kernel_id": "111432893"}, {"ref": "kmmmvs/hard-to-reverse-train", "kernel_id": "112650118"}]}
{"competition_id": "130943", "kernels": [{"ref": "ivannovoselov/baseline1", "kernel_id": "109593291"}, {"ref": "hmnshudhmn24/med-informatics-liver-segmentation", "kernel_id": "109656859"}]}
{"competition_id": "130949", "kernels": []}
{"competition_id": "130951", "kernels": []}
{"competition_id": "130957", "kernels": []}
{"competition_id": "130961", "kernels": [{"ref": "tojoh15/ml-in-e-f-2026-assignment-02", "kernel_id": "109620415"}]}
{"competition_id": "130967", "kernels": [{"ref": "demostheneor/wine-quality-classification-challenge", "kernel_id": "109643301"}]}
{"competition_id": "131037", "kernels": [{"ref": "jeffheaton/basic-xgboost-planets", "kernel_id": "111029209"}, {"ref": "jeffheaton/basic-pytorch-planets", "kernel_id": "111029716"}, {"ref": "sourabhwu/notebooka73401072e", "kernel_id": "116343974"}]}
{"competition_id": "131111", "kernels": [{"ref": "hmnshudhmn24/robovision-challenge-datahack-3-0", "kernel_id": "109991334"}]}
{"competition_id": "131112", "kernels": [{"ref": "hmnshudhmn24/quantumquest-challenge-datahack-3-0", "kernel_id": "109990838"}]}
{"competition_id": "131113", "kernels": [{"ref": "hmnshudhmn24/pharma-semantic-challenge-datahack-3-0", "kernel_id": "110148180"}]}
{"competition_id": "131114", "kernels": [{"ref": "hmnshudhmn24/deep-pharma-multimodal-intelligence-datahack-3-0", "kernel_id": "110147429"}]}
{"competition_id": "131115", "kernels": [{"ref": "hmnshudhmn24/seafloor-pattern-classification-datahack-3-0", "kernel_id": "110047785"}]}
{"competition_id": "131116", "kernels": [{"ref": "hmnshudhmn24/well-log-reconstruction-challenge-datahack-3-0", "kernel_id": "110083242"}]}
{"competition_id": "131117", "kernels": [{"ref": "hmnshudhmn24/gradient-ghostes-challenge-datahack-3-0", "kernel_id": "110147791"}]}
{"competition_id": "131118", "kernels": [{"ref": "hmnshudhmn24/rcbp-kaggle-challenge", "kernel_id": "109995402"}]}
{"competition_id": "131123", "kernels": []}
{"competition_id": "131250", "kernels": [{"ref": "mlaiaus/6-my-deep-neural-network-says-you-re-fine", "kernel_id": "74840056"}, {"ref": "mlaiaus/3-hello-logistic-regression-public", "kernel_id": "74836468"}, {"ref": "mlaiaus/2-visualising-the-chaos-public", "kernel_id": "74834149"}, {"ref": "mlaiaus/1-introduction-data-tour-public", "kernel_id": "75223168"}, {"ref": "mlaiaus/5-enter-deep-neural-networks-public", "kernel_id": "75247893"}, {"ref": "mlaiaus/4-limits-of-a-simple-model-public", "kernel_id": "75247695"}, {"ref": "mlaiaus/7-creating-and-submitting-our-predictions", "kernel_id": "76715985"}, {"ref": "hmnshudhmn24/medhack-frontiers", "kernel_id": "110146061"}]}
{"competition_id": "131268", "kernels": []}
{"competition_id": "131279", "kernels": [{"ref": "marcograngetto/eliva26-restoration-example", "kernel_id": "109975893"}, {"ref": "hmnshudhmn24/eliva26-imagerestoration", "kernel_id": "110051007"}]}
{"competition_id": "131290", "kernels": [{"ref": "hmnshudhmn24/paml-hackathon-2-author-prediction", "kernel_id": "110049718"}]}
{"competition_id": "131301", "kernels": [{"ref": "hmnshudhmn24/house-price-prediction-umons", "kernel_id": "110597829"}, {"ref": "nikitachubai/house-price-prediction-umons", "kernel_id": "112097923"}]}
{"competition_id": "131319", "kernels": []}
{"competition_id": "131376", "kernels": []}
{"competition_id": "131473", "kernels": [{"ref": "antoningorokva/baseline-alchemy-aicc-round-4", "kernel_id": "110107297"}, {"ref": "antoningorokva/reference-solution-alchemy-aicc-round-4", "kernel_id": "111091447"}]}
{"competition_id": "131474", "kernels": [{"ref": "nabasaikia/compvis-areabasedcropping", "kernel_id": "110240966"}, {"ref": "nabasaikia/imageclassification-openai-vitbase", "kernel_id": "110164965"}, {"ref": "antoningorokva/baseline-sticky-note-blindness-aicc-round-4", "kernel_id": "110107359"}, {"ref": "antoningorokva/ref-sol-sticky-note-blindness-aicc-round-4", "kernel_id": "110260386"}]}
{"competition_id": "131508", "kernels": []}
{"competition_id": "131552", "kernels": [{"ref": "swas06/stockclassification", "kernel_id": "110338521"}, {"ref": "ravi20076/stock2026-blindblend-v1", "kernel_id": "110935706"}, {"ref": "ravi20076/stock2026-public-baseline-v1", "kernel_id": "110218772"}, {"ref": "ravi20076/stock2026-public-baseline-v2", "kernel_id": "110220923"}, {"ref": "minnminncherry/stock-market-prediction", "kernel_id": "110451439"}, {"ref": "lightningv08/stock-market-signal-single-tabicl-model", "kernel_id": "110356003"}, {"ref": "lightningv08/stock-market-signal-blind-blend", "kernel_id": "110973397"}, {"ref": "junaid512/eda-stock-market-signal", "kernel_id": "110520171"}, {"ref": "junaid512/stock-market-signal-predictday", "kernel_id": "110500954"}, {"ref": "suhanigupta04/stock-direction-prediction-next-day-returns", "kernel_id": "110929221"}, {"ref": "alanamonks/hgb-baseline-next-day-stock-pred", "kernel_id": "110325943"}, {"ref": "hmnshudhmn24/stock-market-signal-predict-next-day-returns", "kernel_id": "110303810"}, {"ref": "yihanguo/stock-prediction-xgb-kfold-seed-ensemble", "kernel_id": "111640868"}, {"ref": "emanuellcs/stock-market-signal-predict-next-day-returns", "kernel_id": "111188564"}, {"ref": "kaglerian/notebook9b3726742a", "kernel_id": "111495777"}, {"ref": "tylerleung123/predicting-next-day-up-or-down-in-stocks", "kernel_id": "115691344"}, {"ref": "tylerleung123/xgboost-predict-next-day-up-or-down", "kernel_id": "116612814"}, {"ref": "ankushg007/stock-market-prediction-model-finder-pipelinei", "kernel_id": "118540350"}, {"ref": "tecemono/notebookestock-market-signa", "kernel_id": "125626494"}]}
{"competition_id": "131570", "kernels": []}
{"competition_id": "131571", "kernels": [{"ref": "hmnshudhmn24/a-cloned-airbnb-prediction-competition-k353", "kernel_id": "110303300"}]}
{"competition_id": "131572", "kernels": []}
{"competition_id": "131583", "kernels": [{"ref": "arkatkhasanov/gold-medal-solution", "kernel_id": "110622222"}, {"ref": "haradibots/simple-submission", "kernel_id": "110243502"}, {"ref": "prachisaha/notebookc971cb4564", "kernel_id": "110638441"}, {"ref": "hmnshudhmn24/image-classification-challenge", "kernel_id": "110427508"}, {"ref": "omsahu4503/kfold-999", "kernel_id": "110630459"}, {"ref": "soniene/notebook-omu", "kernel_id": "125775380"}, {"ref": "takumi0084/notebook-0084", "kernel_id": "125775655"}, {"ref": "dainabando/notebook-data", "kernel_id": "125701274"}, {"ref": "yo0719/notebook-7026310181", "kernel_id": "125775652"}, {"ref": "naokiosako70/notebook-612636021", "kernel_id": "125775393"}, {"ref": "parupitopito/notebook-hazard", "kernel_id": "127557117"}, {"ref": "moiz64644/notebookf4eb9dca52", "kernel_id": "136516235"}]}
{"competition_id": "131586", "kernels": []}
{"competition_id": "131587", "kernels": [{"ref": "hmnshudhmn24/muffin-vs-chihuahua-classification-challenge", "kernel_id": "110253238"}, {"ref": "ramjasmaurya/muffin-vs-chihuahua", "kernel_id": "111101038"}, {"ref": "illusionbey/acd256db86hb", "kernel_id": "116091197"}, {"ref": "ary99pk/allmodelsbyary", "kernel_id": "116204752"}, {"ref": "krishsandhu137/resnet", "kernel_id": "116203442"}, {"ref": "mohammadfahim005/notebook2027052e91", "kernel_id": "116215132"}, {"ref": "deepanshuai/mse2classification2", "kernel_id": "116249304"}, {"ref": "jitendar132/icv-01", "kernel_id": "116219641"}, {"ref": "otaku09/mse2icv", "kernel_id": "116199523"}, {"ref": "ayushpandey085/mvc-public", "kernel_id": "116222093"}]}
{"competition_id": "131588", "kernels": [{"ref": "jasonkarpeles/triagegeistmodel", "kernel_id": "110343977"}, {"ref": "ishitabahamnia/notebook2550e5145a", "kernel_id": "110764128"}, {"ref": "ishitabahamnia/notebook71785bb0edmimic-iv-ed", "kernel_id": "110761495"}, {"ref": "olaflundstrom/triagegeist-baseline", "kernel_id": "110243584"}, {"ref": "sancoisaacs/triagegeist-dual-model-clinical-audit-system", "kernel_id": "110939411"}, {"ref": "harshjagda/triagecomp", "kernel_id": "110604958"}, {"ref": "guestuser66/notebookc54ff7cdd4", "kernel_id": "110697862"}, {"ref": "harsit0045/notebookc8d8894ed9", "kernel_id": "110446497"}, {"ref": "plarmuseau/simpl", "kernel_id": "111014491"}, {"ref": "goodfox/triagesense", "kernel_id": "111398822"}, {"ref": "nameditor/predicting-emergency-triage-acuity", "kernel_id": "111815523"}, {"ref": "rebelgrath/02-train-data-understanding", "kernel_id": "111431609"}, {"ref": "rebelgrath/01-train-data-understanding", "kernel_id": "111431346"}, {"ref": "rebelgrath/01-patient-data-understanding", "kernel_id": "111354841"}, {"ref": "rebelgrath/02-patient-data-understanding", "kernel_id": "111354981"}, {"ref": "vaishnavidesai345/triagegeist-chief-complaint-risk-nlp-system", "kernel_id": "111543737"}, {"ref": "yashpalthakor/multimodal-ordinal-deep-learning-emergency-acuity", "kernel_id": "111192146"}, {"ref": "grifth/triagegeist-ensemble-final", "kernel_id": "111298872"}, {"ref": "andrewmatelis/clinical-pipeline-for-esi-triage-acuity-prediction", "kernel_id": "111705655"}, {"ref": "harshjagda/triage-comp-final", "kernel_id": "111888040"}, {"ref": "wolframbopp/nlp-driven-emergency-triage-and-the-synthetic-ceil", "kernel_id": "111597171"}, {"ref": "harshalpawar1208/notebookcee1b928b4", "kernel_id": "111747989"}, {"ref": "aleksejdvojnev/triagegeist", "kernel_id": "111036184"}, {"ref": "monkeydlundy/patient-history", "kernel_id": "111124973"}, {"ref": "udaken10/no-no-no-more-leak", "kernel_id": "112137901"}, {"ref": "architkonde/triagegeist-v1", "kernel_id": "112550490"}, {"ref": "noriohama/notebook540510b860", "kernel_id": "112338594"}, {"ref": "muhammadusamazaman/triagegeist", "kernel_id": "112263681"}, {"ref": "mehedithedreamer/easy-peasy-triagegeist-solution", "kernel_id": "112565755"}, {"ref": "mehedithedreamer/baseline-lgbm", "kernel_id": "112574748"}, {"ref": "satyasaikumarm/triagegeist-final-one", "kernel_id": "112294136"}, {"ref": "ehdgk0725/apparent-stability-is-not-safety", "kernel_id": "112715551"}, {"ref": "kimseunghwan9823/gb-ensembles-triagegeist", "kernel_id": "112395295"}, {"ref": "abhishekgupta56447/triage-acuity-prediction-with-stacked", "kernel_id": "112557553"}, {"ref": "jvlegend/leakage-novelty-fight-7", "kernel_id": "113113480"}, {"ref": "ameythakur20/triagegeist-cdss-multi-tier-acuity-forecasting", "kernel_id": "113534945"}, {"ref": "janetanand/xgboost-esi-v5-features-for-triage-acuity", "kernel_id": "113037604"}, {"ref": "jalpatel0023/jp0023", "kernel_id": "113597742"}, {"ref": "grifth/triagegeist-enhanced-emergency-triage-ai", "kernel_id": "113608318"}, {"ref": "rahulchauhan016/emergency-department-triage-risk-prediction", "kernel_id": "113854529"}, {"ref": "isabelolayalopez/triagegeist-synthetic-to-real", "kernel_id": "113654610"}, {"ref": "dhruvjain35/triagegeist-clinical-ai-pipeline", "kernel_id": "113175364"}, {"ref": "hugometa/triagegeist-ai-triage-solution", "kernel_id": "113629196"}, {"ref": "nishita02/triagegeist", "kernel_id": "114663942"}, {"ref": "dataset69420/trigagies-competition-final", "kernel_id": "114508353"}, {"ref": "cherishchenchersih/notebookdd8f01410f", "kernel_id": "114275009"}, {"ref": "cherishchenchersih/triagegeist-ai-assisted-emergency-triage-v3", "kernel_id": "114701955"}, {"ref": "ladyfaye/triagegeist-triage-acuity-prediction", "kernel_id": "114096086"}, {"ref": "ashsihkumar/acuitylens", "kernel_id": "114259240"}, {"ref": "marcolaiacona/multimodal-ai-for-acute-stroke-triage", "kernel_id": "114778732"}, {"ref": "edonisraci/three-stage-pipeline-for-better-esi-score", "kernel_id": "114750160"}, {"ref": "adityaguptaaaa/notebook459bc67330", "kernel_id": "114707880"}, {"ref": "kushagrasrivastava21/triage-acuity-project", "kernel_id": "114470295"}, {"ref": "angelchanjx/triagegeistv1", "kernel_id": "114835025"}, {"ref": "monsurhabib/triagegeist", "kernel_id": "114413116"}, {"ref": "bnzn261029/copy-of-triagegeist-kaggle-competition", "kernel_id": "115458320"}, {"ref": "minhazularefin/triageguard", "kernel_id": "115093277"}, {"ref": "rahulsingh000/triagegeist-baseline", "kernel_id": "115834127"}, {"ref": "merkiraz/notebook7e94f619c2", "kernel_id": "115316454"}, {"ref": "manjitbaishya001/triage-prediction", "kernel_id": "115347989"}, {"ref": "uzbtrust/triagegeits-final-ipynb", "kernel_id": "115955620"}, {"ref": "avikdas567/multi-modal-ed-triage-lgbm-catboost-nlp", "kernel_id": "115501851"}, {"ref": "nehash0123gmailcom/triagegeist", "kernel_id": "115974032"}, {"ref": "istribaik/triagegeist-triage-acuity-prediction-543973", "kernel_id": "115672604"}, {"ref": "camilacosentinoyanes/notebook4127a2a5c3", "kernel_id": "115425022"}, {"ref": "techtech69/triagegeist-win", "kernel_id": "115156107"}, {"ref": "shivrajrajasekaran/triage", "kernel_id": "115746210"}, {"ref": "sardorrazikov/triageguardian-multimodal-clinical-triage", "kernel_id": "115777143"}, {"ref": "jek1wantaufik/triagegeist", "kernel_id": "115962551"}, {"ref": "kangyeoncc/consider-atypical-symtom", "kernel_id": "115800230"}, {"ref": "dhruvjain35/triagegeist-clinical-ai-pipeline-9a9e3c", "kernel_id": "115902660"}, {"ref": "sriyanbodlan/triagegeist-clinical-ai-pipeline", "kernel_id": "115300641"}, {"ref": "noahmoussa/triagegeist", "kernel_id": "115948883"}, {"ref": "tayyabaniazi/rapid-triage-ai-powered-triage-prediction", "kernel_id": "116145455"}, {"ref": "hrdevelops/triagegeist-dev", "kernel_id": "116238719"}, {"ref": "timmfy/triagegeist-los-prediction", "kernel_id": "116274374"}, {"ref": "simonepaoletti17/deterioration-risk-in-e-d-d-l-survival-analysis", "kernel_id": "116236849"}, {"ref": "overvalueawareness/triagegeist-advanced-eda-and-diverse-models", "kernel_id": "116253919"}, {"ref": "vk2245/triage-vk", "kernel_id": "116104004"}, {"ref": "minalkharat123/triagegeist-esi-prediction-with-explainability-f", "kernel_id": "116122650"}, {"ref": "thiebauts/triagegeist", "kernel_id": "116191179"}, {"ref": "hudax18/triagegeist-esi-prediction-and-analysis", "kernel_id": "116340937"}, {"ref": "meenalsinha/triagegeist", "kernel_id": "116261423"}, {"ref": "praveenkumar1818/emergency-requirment", "kernel_id": "116178231"}, {"ref": "marcdonovici/safetriagenet", "kernel_id": "116232520"}, {"ref": "gianburn/don-t-let-the-vitals-fool-you", "kernel_id": "116129817"}, {"ref": "monsurhabib/triagegeist-baseline-1e2c74", "kernel_id": "116454486"}, {"ref": "yufotest/triagegeist-clinical-ai-gb-ensemble", "kernel_id": "117455365"}, {"ref": "amermandour/eda-emergency-triage", "kernel_id": "117431345"}, {"ref": "uditjain13/triagegeist-dual-track-emergency-triage-ai", "kernel_id": "117035975"}, {"ref": "mathurinache/safety-aware-ai-support-for-emergency-triage", "kernel_id": "118956416"}, {"ref": "sirteo/triagegeist-template-aware-safety-triage", "kernel_id": "118822228"}, {"ref": "mohib94/triagegeist-medical-er", "kernel_id": "118283297"}, {"ref": "ashokpukkalla/triagegeist-multi-modal-undertriage-detection", "kernel_id": "118798082"}, {"ref": "mishashikhov/safetriage-explainable-esi-triage-guardrails", "kernel_id": "118441705"}, {"ref": "overvalueawareness/triagegeist-ed-los-hours", "kernel_id": "118093227"}, {"ref": "guozhaojie/triagegeist-linear-decision-support", "kernel_id": "118560215"}, {"ref": "vittalmukunda/triagegeist", "kernel_id": "118519014"}, {"ref": "mennosmitdev/notebook", "kernel_id": "118014038"}, {"ref": "ayahkhedr/triagegeist", "kernel_id": "118959221"}, {"ref": "valentinemwai/predicting-esi-triage-acuity", "kernel_id": "119974519"}, {"ref": "brentl/notebook-triage-decision-support-system", "kernel_id": "119021603"}, {"ref": "kuranashi/triage", "kernel_id": "119906311"}, {"ref": "adityakumarsony/triage-acuity", "kernel_id": "119703167"}, {"ref": "jamesmugabo/notebook6520e0cf65", "kernel_id": "119947886"}, {"ref": "isabelolayalopez/hybrid-rule-based-mamdani-fuzzy-expert-system", "kernel_id": "119914608"}, {"ref": "shibreak/triagegeist", "kernel_id": "119592793"}, {"ref": "kkhandekar/triagegeist-predicting-ed-acuity-with-catboost", "kernel_id": "120704784"}, {"ref": "ayodejiakinola/triagegeist", "kernel_id": "120461002"}, {"ref": "adikusum4/55-triagegeist-submit-hybird", "kernel_id": "120320302"}, {"ref": "vishys2487/submission", "kernel_id": "121900307"}, {"ref": "sampathbharath/triagegeist-pediatric-undertriage-audit", "kernel_id": "121368314"}, {"ref": "msama01/triage-acuity-prediction-pipeline", "kernel_id": "121916110"}, {"ref": "rumblingb/triagegeist-hgb-v4-with-text-ensemble", "kernel_id": "121329662"}, {"ref": "rumblingb/triagegeist-hgb-ensemble-v4-patient-history", "kernel_id": "121329840"}, {"ref": "vunnguyen/clinically-grounded-triage-acuity-prediction", "kernel_id": "121495242"}, {"ref": "xiewenwei29/triagenlp-ai-powered-high-risk-detection-from-chi", "kernel_id": "121566894"}, {"ref": "sayan1507/notebook28a7e8a1c7", "kernel_id": "121997062"}, {"ref": "fairlanderflick/triagegeist-ed-triage-toolkit", "kernel_id": "121588936"}, {"ref": "oghenetanooromena/triagegeist", "kernel_id": "121803302"}, {"ref": "rtsdque/triagegeist-acuity-prediction-demographic-bias", "kernel_id": "121314179"}, {"ref": "fabischkamau/notebook8c4c1761d5", "kernel_id": "122305811"}, {"ref": "ssstelmah/second-look-triage-safety-net", "kernel_id": "122874594"}, {"ref": "konichiwasepogaichi/triagegeist-safety-first-esi-triage", "kernel_id": "122925380"}, {"ref": "bruceding123/notebookb-triagegeist", "kernel_id": "122723973"}, {"ref": "nirmittt/velora", "kernel_id": "122279017"}, {"ref": "yaroslavkholmirzayev/triagegeist-safety-focused-acuity-baseline", "kernel_id": "122801336"}, {"ref": "realtwizzy/final-triagegeist-11", "kernel_id": "122247792"}, {"ref": "renendoh/triagegeist-a-triage-second-opinion-system", "kernel_id": "122829047"}, {"ref": "wjhit086/notebookde85bb4f7d", "kernel_id": "123856258"}, {"ref": "syedsaadhasanemad/triagegeist-holistic-suite", "kernel_id": "123252634"}, {"ref": "lichangjian/triagegeist-track-a-release", "kernel_id": "123763833"}, {"ref": "abhiiiish/hacksfa1", "kernel_id": "123861460"}, {"ref": "siruizeng/triagegeist-the-waiting-room-blind-spot", "kernel_id": "123898481"}, {"ref": "ibrakdabra/triagegeist-honest-ai-adversarial-robustness", "kernel_id": "123180900"}, {"ref": "manishkkumawat/triagegeist-esi-acuity-prediction", "kernel_id": "123246127"}, {"ref": "reyhanksatria/triagegeist-reyhan", "kernel_id": "123776141"}, {"ref": "frameg/emergency-triage-acuity-prediction", "kernel_id": "123759767"}, {"ref": "harishk2209/honest-triage", "kernel_id": "123633950"}, {"ref": "harishk2209/triagegeist-v2-polished", "kernel_id": "123005527"}, {"ref": "nesrinebenmohamed/triagegeist-triage-acuity", "kernel_id": "123667511"}, {"ref": "anhadmahajan06/triagegeist-notebook", "kernel_id": "123245199"}, {"ref": "foysalemonshanto/triagegeist-leak-free-nlp-clinical-safety", "kernel_id": "123698795"}, {"ref": "satyamchaubey360/sssss", "kernel_id": "123132773"}, {"ref": "chaitanyajamble/triagegeist", "kernel_id": "123982472"}, {"ref": "parthharischandre/notebook282507e06f", "kernel_id": "123194601"}, {"ref": "tobimichigan/triagegeist-an-explainable-multimodal-ai-codex", "kernel_id": "124117804"}, {"ref": "ahmetkrgztr/esi-length-of-stay-disposition-syn-vs-real-data", "kernel_id": "124048332"}, {"ref": "alexyy/triagegeist", "kernel_id": "124149757"}, {"ref": "salmasobhy/notebook1b5a4650ae", "kernel_id": "124250510"}, {"ref": "priyamsaha17/triagegeist-bioclinicalbert-gbdt-99-99-qwk", "kernel_id": "124248856"}, {"ref": "amermandour/multimodal-triage-intelligence-system", "kernel_id": "124224184"}, {"ref": "daniellaml/triagegeist-final-submission", "kernel_id": "124093975"}, {"ref": "timscientia/triage-bias-notebook", "kernel_id": "124242753"}, {"ref": "jwlindazhang/emergency-department-triage-acuity", "kernel_id": "124123923"}, {"ref": "samasiayushman/traigegeist-training-model", "kernel_id": "124159179"}, {"ref": "daichisaitocs/notebooka3a532374a", "kernel_id": "124213342"}, {"ref": "asvithasathyaraj/atypical-presentations-at-triage", "kernel_id": "124232959"}, {"ref": "anuveshikaprasad/triagegeist-notebook", "kernel_id": "124160434"}, {"ref": "kritikabenjwal/triagesignal", "kernel_id": "124032594"}, {"ref": "pabloaguirrearaya/intrasight-esi-v2", "kernel_id": "124039477"}, {"ref": "shauryapandey19/trigegeist-notebook", "kernel_id": "124253542"}, {"ref": "shauryapandey19/demo-with-visual", "kernel_id": "124247170"}, {"ref": "foysalemonshanto/grandmaster-triagegeist-eda-shortcuts-to-safety", "kernel_id": "124241070"}, {"ref": "chaitanyagullapalli/multi-modal-triage-error-detection", "kernel_id": "124128819"}, {"ref": "rajesh1joc/final-agent", "kernel_id": "124134484"}, {"ref": "jaysefh26/triagegist-advanced", "kernel_id": "124237278"}, {"ref": "jacquelinenanami/triagegeist-emergency-triage-ai", "kernel_id": "124122197"}, {"ref": "raquelromao/complaint2concern-text-aware-emergency-triage", "kernel_id": "124224987"}, {"ref": "divyanshusomasekhar/notebook5c20a3c2bf", "kernel_id": "124121423"}, {"ref": "vadimdrobinin/triagegeist-ed-acuity-and-undertriage-audit", "kernel_id": "124221140"}]}
{"competition_id": "131591", "kernels": [{"ref": "stepansapunkov/notebook521defa30a", "kernel_id": "110372322"}]}
{"competition_id": "131618", "kernels": []}
{"competition_id": "131619", "kernels": []}
{"competition_id": "131626", "kernels": []}
{"competition_id": "131628", "kernels": []}
{"competition_id": "131653", "kernels": [{"ref": "alanamonks/emergency-medicine-adverse-outcome-pred-catboost", "kernel_id": "110396175"}, {"ref": "rhythmghai/ed-outcome-prediction-hybrid-boosting-stack", "kernel_id": "110472910"}, {"ref": "olaflundstrom/setup-solution", "kernel_id": "110350629"}, {"ref": "sigmaborov/ai-emt-t-rkiye-catboost-supplemental-training", "kernel_id": "110623706"}, {"ref": "hmnshudhmn24/ai-in-emergency-medicine-turkiye", "kernel_id": "110421663"}, {"ref": "niyaz2498/final-submission-multi-model-weighted-ensemble", "kernel_id": "112847141"}, {"ref": "canahmetkurt/testing-ai-in-emergency", "kernel_id": "112713476"}]}
{"competition_id": "131692", "kernels": [{"ref": "hmnshudhmn24/stat-cse-416-26w-assignment-5", "kernel_id": "110420061"}, {"ref": "varshabharath/varsha-bharath-assignment-5", "kernel_id": "111701710"}]}
{"competition_id": "131763", "kernels": [{"ref": "isakev/midterm-random-submission", "kernel_id": "110714220"}, {"ref": "isakev/kbtu-bs-sample-train-submit-gbdt-models", "kernel_id": "110980151"}, {"ref": "hmnshudhmn24/kbtu-business-school-ai-engagement-challenge", "kernel_id": "110720606"}, {"ref": "aminami/midterm-amina-zhussupova", "kernel_id": "111301085"}, {"ref": "murageryersin/kbtu-bs-murayers-gbdt-models-682fd3", "kernel_id": "111612907"}, {"ref": "aithbb/kbtu-competition-solution-0-73975", "kernel_id": "111597873"}, {"ref": "yuriykozlov/midterm-baseline", "kernel_id": "111325457"}, {"ref": "ildanasydykova/midterm", "kernel_id": "111671933"}, {"ref": "ba1tas/baitas-kan-my-exam-baseline", "kernel_id": "111301878"}, {"ref": "nurilanurlybayeva/nurila-nurlybayeva-2", "kernel_id": "111604973"}, {"ref": "alikazykhan/notebook4b6fd59a7f", "kernel_id": "111769230"}, {"ref": "daniyaldavletyarov/daniyal-version4", "kernel_id": "111669375"}, {"ref": "nazerketynysbek/nazerkee-ml", "kernel_id": "111653029"}, {"ref": "nursayazinadinova/zinadinova-nursaya-my-exam-baseline-gbdt-models", "kernel_id": "111583299"}, {"ref": "aibarkarabekov/midterm-aibar-karabekov", "kernel_id": "111673997"}]}
{"competition_id": "131778", "kernels": [{"ref": "carp0308/sample-code-outline-for-drive-video-analyzer", "kernel_id": "112802828"}, {"ref": "jek1wantaufik/visual-question-answering-vqa-autopilot-cvpr", "kernel_id": "114464242"}, {"ref": "stpeteishii/google-apps-script-to-get-mp4-urls-for-downloading", "kernel_id": "115624874"}, {"ref": "stpeteishii/autopilot-cvpr-qwen2-5-vl-analyse-movies", "kernel_id": "115929019"}, {"ref": "stpeteishii/driver-s-perspective-qwen2-5-vl-analyse-movies", "kernel_id": "135457439"}]}
{"competition_id": "131840", "kernels": [{"ref": "timriggins/cluster-baseline", "kernel_id": "110662678"}, {"ref": "timriggins/avtor-solution", "kernel_id": "110552134"}, {"ref": "garifullintimur/1-liner-agi-solution", "kernel_id": "111226662"}, {"ref": "cerxxxx/sbor-vsosh-srez-1", "kernel_id": "111226798"}]}
{"competition_id": "131866", "kernels": []}
{"competition_id": "131888", "kernels": [{"ref": "xiao789/notebookeda3ac8cfd", "kernel_id": "93099989"}, {"ref": "hmnshudhmn24/i2526-spaceship-titanic", "kernel_id": "110720304"}, {"ref": "disjwba/randomforest", "kernel_id": "110783125"}, {"ref": "saurabhrajvarma/spaceship-titanic-12526", "kernel_id": "111699851"}, {"ref": "haoyaoli/notebook6424cfd50e", "kernel_id": "112668347"}, {"ref": "ifedigboifeoma/ifedigbo-ifeoma-mini-project-2", "kernel_id": "115118778"}, {"ref": "lokeshpuma/spaceship-titanic-i2526", "kernel_id": "116526196"}, {"ref": "josianobrito/notebook485868d326", "kernel_id": "118801325"}, {"ref": "keeehanxu/ttnkh", "kernel_id": "118348885"}, {"ref": "berkkarata/spacesh-p-t-tan-c", "kernel_id": "119350435"}, {"ref": "krishsharma36907/notebook7772ad6fda", "kernel_id": "120273373"}, {"ref": "alex5223/spaceship-titanic", "kernel_id": "120332908"}, {"ref": "takusugi/notebook1030bbec4e", "kernel_id": "124884764"}, {"ref": "kentayanai/notebook8df789f545", "kernel_id": "124884685"}, {"ref": "kentayanai/notebook20260703871", "kernel_id": "124885554"}, {"ref": "xaverpilgrimm/spaceship-titanic-lgbm-shap", "kernel_id": "125536066"}, {"ref": "shinjinmuramatsu/notebook9667d4ebdc", "kernel_id": "125775280"}, {"ref": "okuda1202/notebook2011689fec", "kernel_id": "126562280"}]}
{"competition_id": "131893", "kernels": [{"ref": "hmnshudhmn24/sc201-apr2026", "kernel_id": "110721102"}, {"ref": "onesinustamba/boston-housing-competition", "kernel_id": "114734265"}]}
{"competition_id": "131913", "kernels": [{"ref": "irakozekelly/cooksense-challenge-baseline", "kernel_id": "110632566"}, {"ref": "ngabofreddy/cooksense-challenge-baseline-74957b", "kernel_id": "111242779"}]}
{"competition_id": "131914", "kernels": [{"ref": "hmnshudhmn24/26spring-cell-type-annotation", "kernel_id": "110721958"}]}
{"competition_id": "131923", "kernels": [{"ref": "miraclelpx/teacher-example-mnist-for-mlp", "kernel_id": "91153342"}, {"ref": "hmnshudhmn24/sjtu-2026spring-mlp", "kernel_id": "110836668"}, {"ref": "ayseumit/mnist-99-11-pure-knn-no-nn-world-record", "kernel_id": "112221323"}, {"ref": "zhengqiuhan/teacher-example-mnist-for-mlp-22b5d9", "kernel_id": "112498386"}, {"ref": "nlpbeginner007/teacher-example-mnist-for-mlp", "kernel_id": "114326659"}, {"ref": "lakhindarpal/sjtu-2026-spring-mlp", "kernel_id": "115143948"}]}
{"competition_id": "131926", "kernels": [{"ref": "miraclelpx/teacher-example-lstm-for-imdb", "kernel_id": "91698989"}, {"ref": "hmnshudhmn24/sjtu-2026spring-lstm", "kernel_id": "110837218"}, {"ref": "miraclelpx/teacher-example-transformer-for-imdb", "kernel_id": "112441228"}, {"ref": "lakhindarpal/sjtu-2026-spring-transformer", "kernel_id": "115193608"}, {"ref": "zhaopenghao/teacher-example-lstm-for-imdb-24ad16", "kernel_id": "115718221"}]}
{"competition_id": "131927", "kernels": [{"ref": "miraclelpx/teacher-example-cnn-for-cifar-10", "kernel_id": "91697023"}, {"ref": "hmnshudhmn24/sjtu-2026spring-cnn", "kernel_id": "110837367"}, {"ref": "lakhindarpal/sjtu-2026-spring-cnn", "kernel_id": "115189987"}]}
{"competition_id": "132004", "kernels": [{"ref": "sleemhashem/notebook388b131cf7", "kernel_id": "110986688"}, {"ref": "moaazmo/bank-churn-production-mll", "kernel_id": "111275363"}, {"ref": "moaazmo/bank-churn-production-ml", "kernel_id": "111271554"}, {"ref": "seifosamahosney/bank-churn-prediction", "kernel_id": "111095371"}, {"ref": "abdelrahmantarek03/bank-churn-prediction-with-optuna-tuning", "kernel_id": "111258007"}, {"ref": "marwanyasserhassan/grandmaster-style-churn-prediction", "kernel_id": "111447792"}, {"ref": "marwanyasserhassan/bank-churn-grandmaster-stacked-0-881-auc", "kernel_id": "111210875"}, {"ref": "noureldenmuhammad/catboost-auc-0-8742-churn-prediction", "kernel_id": "111034474"}, {"ref": "mohamedreedy/churn-bank", "kernel_id": "111269003"}, {"ref": "aliahmed12131313/customer-churn-amit-competition", "kernel_id": "111258229"}, {"ref": "ezzafify/ezz-afify1", "kernel_id": "111269410"}, {"ref": "ramezhassan/notebook-competition", "kernel_id": "111012141"}, {"ref": "mazenyehiazaki/bank-churn-prediction", "kernel_id": "111198052"}, {"ref": "yousefragabelattara/churn-prediction-amit", "kernel_id": "111249252"}]}
{"competition_id": "132009", "kernels": [{"ref": "timriggins/baseline-task1", "kernel_id": "110989418"}, {"ref": "timriggins/author-solution", "kernel_id": "110976573"}, {"ref": "cerxxxx/sbor-vsosh-srez-2", "kernel_id": "111228433"}]}
{"competition_id": "132076", "kernels": [{"ref": "siddartha4/house-pred-xgb", "kernel_id": "114307813"}]}
{"competition_id": "132094", "kernels": [{"ref": "irakozekelly/street-smart-baseline", "kernel_id": "110745216"}, {"ref": "santamm/street-smart-challenge", "kernel_id": "112744472"}]}
{"competition_id": "132097", "kernels": [{"ref": "kvsbmstu/baseline-oct-classification", "kernel_id": "110749567"}, {"ref": "filatoff/baseline-oct-classification", "kernel_id": "110916033"}]}
{"competition_id": "132100", "kernels": [{"ref": "ssegui/recsysmfds2026-baseline-top-popular", "kernel_id": "111323353"}, {"ref": "ivanballesteros/recommendersystemmaster", "kernel_id": "111400206"}]}
{"competition_id": "132111", "kernels": [{"ref": "kaito510/goto-conversion-winning-solution", "kernel_id": "76441575"}, {"ref": "europarinyaprach/robust-sigmoid-calibration", "kernel_id": "111756822"}, {"ref": "shineminkhant31/seed-massey-elo-detail-lr-v2", "kernel_id": "111735460"}, {"ref": "kaunghsethein/march-machine-learning-mania-2026", "kernel_id": "112378039"}, {"ref": "jubido/vibe-coded-march-mania-with-lightgbm-logistic-re", "kernel_id": "112385387"}, {"ref": "han21400/march-mania-2026-elo-based-semi-spherical-score", "kernel_id": "112162868"}, {"ref": "thinnwesoe/march-mania-2026-seed-massey-logistic-baseline", "kernel_id": "112397492"}, {"ref": "clarynypo/march-mania-2026-feature-rich-ensemble", "kernel_id": "112460370"}, {"ref": "kyawnandathu/march-madness-2026-semi", "kernel_id": "112165314"}, {"ref": "saizawoo/mmlmania2026", "kernel_id": "112414325"}, {"ref": "saizawoo/mmmania2026-semi-spherical", "kernel_id": "112414610"}, {"ref": "chrismoe/march-machine-learning-mania-2026-semi-spherical", "kernel_id": "112380222"}, {"ref": "milo777/latest-version-march-mania", "kernel_id": "112397618"}, {"ref": "ismailumarajingi/go-to-conversion", "kernel_id": "112461106"}, {"ref": "nannichaphrapersonal/vibe-coding-seed-aware-xgb-lr-ensemble", "kernel_id": "112418504"}]}
{"competition_id": "132125", "kernels": [{"ref": "timriggins/basline-covid", "kernel_id": "111184406"}, {"ref": "timriggins/authir-covid", "kernel_id": "111156924"}, {"ref": "cerxxxx/sbor-vsosh-contest-1", "kernel_id": "111247345"}]}
{"competition_id": "132145", "kernels": []}
{"competition_id": "132227", "kernels": [{"ref": "analokamus/joai-2026-training-tutorial", "kernel_id": "110898429"}, {"ref": "ryushisa/playground-joai-competitions-2026-eda-notebook", "kernel_id": "110840043"}, {"ref": "hmnshudhmn24/playground-joai-competition-2026", "kernel_id": "110897967"}]}
{"competition_id": "132234", "kernels": []}
{"competition_id": "132235", "kernels": [{"ref": "hmnshudhmn24/afrinews-multilingual-classification-challenge", "kernel_id": "110897647"}, {"ref": "ngabofreddy/afrinews-multilingual-classification-challenge", "kernel_id": "111396742"}, {"ref": "lakhindarpal/afrinews-multilingual-classification-challenge", "kernel_id": "114618978"}]}
{"competition_id": "132238", "kernels": [{"ref": "danipipe777/faii-2026-i-object-localizationv2", "kernel_id": "110852916"}, {"ref": "hmnshudhmn24/faii-2026-i-object-localization-v2", "kernel_id": "110897035"}]}
{"competition_id": "132313", "kernels": [{"ref": "irakozekelly/entity-recognition-challenge-baseline", "kernel_id": "111017382"}]}
{"competition_id": "132348", "kernels": []}
{"competition_id": "132359", "kernels": [{"ref": "timriggins/author-solution-weather", "kernel_id": "111093686"}, {"ref": "timriggins/baseline-weather", "kernel_id": "111056131"}, {"ref": "cerxxxx/sbor-vsosh-extra-1", "kernel_id": "111240165"}, {"ref": "tommydan/wide-df-implementation-with-allowed-qwen-model", "kernel_id": "126247552"}]}
{"competition_id": "132364", "kernels": [{"ref": "irakozekelly/long-tail-challenge-baseline", "kernel_id": "110946387"}, {"ref": "lakhindarpal/long-tail-object-detection-challenge", "kernel_id": "115258577"}, {"ref": "rafaellpez99999/notebookcddffb7e8e", "kernel_id": "116882417"}]}
{"competition_id": "132365", "kernels": []}
{"competition_id": "132373", "kernels": [{"ref": "hmnshudhmn24/global-e-commerce-customer-purchase-prediction", "kernel_id": "110985110"}, {"ref": "choidana/e-commerce-h-blend", "kernel_id": "113857274"}, {"ref": "choidana/kmu-ds-2026-u2025524-1pager", "kernel_id": "114452253"}]}
{"competition_id": "132376", "kernels": []}
{"competition_id": "132393", "kernels": [{"ref": "hmnshudhmn24/hkustgz-aiaa-5032-hw2-spring-2026", "kernel_id": "111294183"}]}
{"competition_id": "132395", "kernels": [{"ref": "fayezzouari/baseline-notebook", "kernel_id": "110991151"}, {"ref": "ngabofreddy/hybrid-approach", "kernel_id": "111242401"}, {"ref": "lakhindarpal/limbako-african-language-classification", "kernel_id": "112852113"}, {"ref": "fayezzouari/limbako-teacher", "kernel_id": "115339974"}]}
{"competition_id": "132408", "kernels": [{"ref": "hnbk54/restroom-baseline", "kernel_id": "111003434"}, {"ref": "hmnshudhmn24/restroom-ioai-2025-task-4-mirror-unofficial", "kernel_id": "111039890"}, {"ref": "khanhtb/restroom-fusion-solution", "kernel_id": "115307886"}, {"ref": "kietha1/ioai-2025-restroom-problems", "kernel_id": "118947107"}, {"ref": "marcomars/restroom", "kernel_id": "118941792"}]}
{"competition_id": "132429", "kernels": [{"ref": "hmnshudhmn24/sosc-4300-and-5500-assignment-1-2026-spring", "kernel_id": "111176977"}]}
{"competition_id": "132448", "kernels": [{"ref": "marklitvinov/top-1-public", "kernel_id": "112391081"}, {"ref": "safar1/lb-top-10", "kernel_id": "112479639"}, {"ref": "idriapad/ml-ai25-ht7", "kernel_id": "112383338"}]}
{"competition_id": "132454", "kernels": [{"ref": "julianomenarvaez97/aa-iv-2026-1-object-localization", "kernel_id": "111059846"}, {"ref": "julianomenarvaez97/aa-iv-2026-1-object-localization-v2-checkpoints", "kernel_id": "112036489"}]}
{"competition_id": "132457", "kernels": []}
{"competition_id": "132460", "kernels": [{"ref": "kushnertodd/yet-another-telecom-customer-churn-notebook", "kernel_id": "126508063"}]}
{"competition_id": "132587", "kernels": []}
{"competition_id": "132591", "kernels": []}
{"competition_id": "132605", "kernels": []}
{"competition_id": "132608", "kernels": [{"ref": "tojoh15/ml-in-e-f-2026-assignment-03", "kernel_id": "111187786"}]}
{"competition_id": "132610", "kernels": []}
{"competition_id": "132612", "kernels": []}
{"competition_id": "132688", "kernels": []}
{"competition_id": "132732", "kernels": [{"ref": "narsil/2026-04-13-fork-baseline-synthetic-image-attrib", "kernel_id": "115541048"}, {"ref": "stpeteishii/synthetic-image-mobilenet-classifier-w-tpu", "kernel_id": "115760362"}, {"ref": "ambrosm/dlmmdd-baseline-with-convnext", "kernel_id": "115368868"}, {"ref": "lakhindarpal/synthetic-image-attribution-ridgeclassifier", "kernel_id": "115657555"}, {"ref": "jek1wantaufik/dlmmdd-workshop-synthetic-image-attribution", "kernel_id": "115307715"}, {"ref": "ektarr/baseline-synthetic-image-attribution", "kernel_id": "115341685"}, {"ref": "rayanshazlee/spectral-helix-synthetic-image-attribution", "kernel_id": "116069959"}, {"ref": "haticekocak7/synthetic-image-attribution", "kernel_id": "116399704"}, {"ref": "nicolequilang/cnn-ensembles-dlmmdd-workshop", "kernel_id": "116313116"}, {"ref": "nicolequilang/cnn-dlmmdd-workshop", "kernel_id": "116147998"}, {"ref": "armanzhalgasbayev/dlmmdd-convnext-tiny-training-pytorch", "kernel_id": "119729449"}, {"ref": "poco34/27-92-face-classification", "kernel_id": "119264447"}, {"ref": "mdajwadhossain/dlmmdd-v2", "kernel_id": "120671198"}, {"ref": "abdullahbakr7/sia-dualstream-srm-tta-95-accuracy", "kernel_id": "120335777"}, {"ref": "ektarr/2-92-solution-synthetic-image-attribution", "kernel_id": "121024802"}]}
{"competition_id": "132737", "kernels": [{"ref": "qacenn/baseline-gol", "kernel_id": "111254966"}, {"ref": "cerxxxx/sd-osfjpf", "kernel_id": "111251535"}]}
{"competition_id": "132743", "kernels": [{"ref": "qacenn/notebookfb1ce8771d", "kernel_id": "111244493"}, {"ref": "denbug/nlp-ai-humans", "kernel_id": "111247782"}]}
{"competition_id": "132748", "kernels": [{"ref": "hmnshudhmn24/econ626-w2026-pc7-prediction-competition", "kernel_id": "111256247"}]}
{"competition_id": "132751", "kernels": []}
{"competition_id": "132758", "kernels": []}
{"competition_id": "132872", "kernels": [{"ref": "denbug/sugar-sand", "kernel_id": "111306100"}]}
{"competition_id": "132873", "kernels": [{"ref": "kvsbmstu/baseline-polyp-segmentation", "kernel_id": "111307934"}, {"ref": "filatoff/baseline-polyp-segmentation-f65105", "kernel_id": "111486636"}]}
{"competition_id": "132880", "kernels": [{"ref": "antonovmaxim/pokemon", "kernel_id": "111665285"}, {"ref": "qacenn/baseline-pokemon-cv1", "kernel_id": "111315977"}, {"ref": "drobzhik/pakemonu", "kernel_id": "111320351"}, {"ref": "hmnshudhmn24/cv-pokemon-classifiaction", "kernel_id": "111453778"}, {"ref": "qqqaaavvv/using-my-archeticture-to-classificate-pokemons", "kernel_id": "120302133"}]}
{"competition_id": "132884", "kernels": [{"ref": "haradibots/toxic-comment-classification-dl-assignmen", "kernel_id": "111373707"}, {"ref": "haradibots/1-import", "kernel_id": "111374336"}]}
{"competition_id": "132886", "kernels": []}
{"competition_id": "132891", "kernels": [{"ref": "hmnshudhmn24/agentic-ai-challenge-the-b2b-billing-automators", "kernel_id": "111375545"}]}
{"competition_id": "132911", "kernels": [{"ref": "prottoy3182/cvfuck", "kernel_id": "111476693"}, {"ref": "marcomars/notebook5f15c22722", "kernel_id": "111740071"}, {"ref": "ramjasmaurya/character-classification", "kernel_id": "112286999"}]}
{"competition_id": "132962", "kernels": []}
{"competition_id": "133005", "kernels": []}
{"competition_id": "133023", "kernels": [{"ref": "nabasaikia/ssl-imageclassifier", "kernel_id": "111682203"}]}
{"competition_id": "133045", "kernels": [{"ref": "ravi20076/modelforge2026-public-baseline-v1", "kernel_id": "111543588"}, {"ref": "rajatavapal/least1", "kernel_id": "111892798"}, {"ref": "shravanpadhar/modelforge-hgbr-v2-rmse-1-83", "kernel_id": "112238263"}]}
{"competition_id": "133051", "kernels": [{"ref": "hmnshudhmn24/project-1-music-classification", "kernel_id": "113930913"}]}
{"competition_id": "133177", "kernels": [{"ref": "karmazyak/baseline", "kernel_id": "111483423"}, {"ref": "lightningv08/cpm-salary-prediction-agi", "kernel_id": "111484073"}, {"ref": "lightningv08/cpm-salary-prediction-simple-catboost", "kernel_id": "111492848"}, {"ref": "cerxxxx/salary-prediction", "kernel_id": "111492587"}, {"ref": "hmnshudhmn24/salary-prediction", "kernel_id": "111567682"}, {"ref": "lakhindarpal/predict-data-scientist-salary-fe-pca-optuna", "kernel_id": "114917621"}]}
{"competition_id": "133197", "kernels": []}
{"competition_id": "133212", "kernels": [{"ref": "rushildhingra25/notebook9bccb029ad", "kernel_id": "111983141"}, {"ref": "majjjvinaykumar/mlware-tensorflow", "kernel_id": "111757863"}, {"ref": "majjjvinaykumar/mlware", "kernel_id": "111572866"}, {"ref": "sahilkasana027/new-mlware", "kernel_id": "111665792"}, {"ref": "lakshyakohli23/mlware-technex", "kernel_id": "111678764"}, {"ref": "rushildhingra25/mlware-sherlock-holmes-v13", "kernel_id": "112202281"}, {"ref": "lakshyakohli23/technexs1", "kernel_id": "112028108"}, {"ref": "jigyasasatsangi/deep-learners-final", "kernel_id": "112154161"}, {"ref": "deariamshivamkumar/ml-ware-by-team-nexus", "kernel_id": "112204120"}]}
{"competition_id": "133215", "kernels": []}
{"competition_id": "133216", "kernels": []}
{"competition_id": "133218", "kernels": [{"ref": "paibarrr/kcv-task2-nlp-toxic-comment", "kernel_id": "111938638"}]}
{"competition_id": "133233", "kernels": []}
{"competition_id": "133234", "kernels": [{"ref": "ayseumit/mnist-99-11-pure-knn-no-nn-world-record", "kernel_id": "112221323"}, {"ref": "ayseumit/backloss-for-classifier-mnist-99-77-7-of-world", "kernel_id": "112356627"}]}
{"competition_id": "133246", "kernels": [{"ref": "crisdago18/notebooke13928fe5c", "kernel_id": "111624783"}]}
{"competition_id": "133252", "kernels": []}
{"competition_id": "133253", "kernels": []}
{"competition_id": "133259", "kernels": [{"ref": "hmnshudhmn24/bank-issues-for-sirius-26", "kernel_id": "111670080"}]}
{"competition_id": "133367", "kernels": [{"ref": "rohit8527kmr7518/predicting-diamond-price", "kernel_id": "111947114"}, {"ref": "amineipad/diamondprice", "kernel_id": "112378929"}, {"ref": "rohit8527kmr7518/diamond-price-prediction-lgbm-pipeline-r-0-98", "kernel_id": "113853566"}]}
{"competition_id": "133419", "kernels": [{"ref": "samvelgalstyan/linearregression", "kernel_id": "112342460"}, {"ref": "ameythakur20/student-study-hours-to-cgpa-prediction", "kernel_id": "114131087"}, {"ref": "yousefelsonbaty/student-cgpa-prediction", "kernel_id": "114129121"}]}
{"competition_id": "133427", "kernels": []}
{"competition_id": "133442", "kernels": []}
{"competition_id": "133453", "kernels": []}
{"competition_id": "133583", "kernels": []}
{"competition_id": "133607", "kernels": []}
